[{"id":"oa:W4415000238","name":"Understanding Driver Expectations and Preferences Around Data Transparency in Vehicular Digital Twins","source":"openalex","abstract":"While vehicles become more data-intensive, hardly any studies have systematically examined how drivers of such vehicles perceive the various privacy aspects related to the potential data usage.To address this gap, we present preliminary findings from an online survey of 30 drivers that investigates their expectations and preferences around data transparency in the context of vehicular digital twins (VDTs).We found that privacy aspects related to data access and control are important for potential VDT users, although they expressed uncertainty about their understanding of how the data is collected and used.Nevertheless, participants also showed some tolerance towards data collection and usage if it would potentially have a direct personal benefit.To inform future design of user-centered and privacy-aware VDT interfaces, we conclude that it is relevant to include and further discuss how the expectation of personal benefits might alter or even compromise privacy concerns. CCS Concepts• Human-centered computing → Empirical studies in HCI ; User studies; • Security and privacy → Usability in security and privacy.","url":"https://doi.org/10.1145/3744335.3758509","authors":["Cansu Demir","Nicola Leschke","Glenda Hannibal","Mahdi Akil","Alexander Meschtscherjakov"],"tags":["Transparency (behavior)","Computer science","Business","Internet privacy","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-22","doi":"https://doi.org/10.1145/3744335.3758509","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3216538700","name":"Development of the digital oil and gas complex in Arctic areas of Russia","source":"openalex","abstract":"Abstract This article examines the issues of digital modernization of the oil and gas complex of Russia, the evolution of digital oil and gas technologies. The main results of research work in the field of creating digital technologies for preventing complications and accidents, transferring drilling data in blockchain format, monitoring the state of pipelines using magnetic tomography are briefly outlined. The digital modernization strategy is aimed at large-scale digitalization of oil and gas production facilities and lays a reliable basis for the growth of capital productivity of fields in the long term. The approach is based on improving the quality of management, analyzing the effectiveness of control actions when using an integrated model or a digital twin of the field. The integrated application of digital technologies for effective management is the basis for cost optimization, ensuring the transition to robotic control, and increasing the capital productivity ratio of key gas assets. These solutions are especially effective in regions with difficult natural and climatic conditions or undeveloped infrastructure, Arctic fields. The proposed integrated approach makes it possible to extend the periods of profitable exploitation of gas fields at the stage of declining production and complicated production conditions. By the end of 2025, the number of digital fields using technologies for processing Big Geo Data will exceed 10% of the total number of oil and gas fields in Russia.","url":"https://doi.org/10.1088/1757-899x/1201/1/012075","authors":["A N Dmitrievskiy","Н.А. Еремин","A T Kondratyuk","I.K. Basnieva"],"tags":["Productivity","Modernization theory","Fossil fuel","Computer science","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-01","doi":"https://doi.org/10.1088/1757-899x/1201/1/012075","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411610879","name":"72261 | Development of a Mitral Valve Digital Twin for Transcatheter Edge-to-Edge Repair","source":"openalex","abstract":"Transcatheter edge-to-edge repair (TEER) is generally a safe treatment for mitral regurgitation (MR), but long-term outcomes remain suboptimal and unpredictable, mainly due to the heterogeneity of MR and the combinatorial nature of TEER. Clinical image-based digital twins thus have enormous potential to improve outcomes. We have developed a patient-specific mitral valve digital twin (MVDT) that models the entire MV apparatus and integrates novel time-evolving clinical follow-up data to predict the post-operative MV functional state.","url":"https://doi.org/10.1016/j.shj.2025.100560","authors":["Natalie Simonian","Sneha Vakamudi","Mark J. Pirwitz","Michael S. Sacks"],"tags":["Enhanced Data Rates for GSM Evolution","Development (topology)","Internal medicine","Cardiology","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-01","doi":"https://doi.org/10.1016/j.shj.2025.100560","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3204856551","name":"A Study on the Implementation of Digital Twin Architecture and Detailed Technology for Agriculture and Livestock Industry","source":"openalex","abstract":"","url":"https://doi.org/10.5909/jbe.2021.26.4.398","authors":["Deuk‐Young Jeong","Se-Han Kim","In-Bok Lee","Uk-Hyeon Yeo","Sang-Yeon Lee","Jun‐Gyu Kim","Se‐Jun Park"],"tags":["Agriculture","Livestock","Architecture","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.5909/jbe.2021.26.4.398","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7128857467","name":"Assessment of the State and Development Trends of Centrifugal Compressors for Marine Power Plants","source":"openalex","abstract":"Centrifugal compressors (CCs) are key components of marine power plants (MPPs), supporting engine boosting, boil-off gas (BOG) handling on liquefied natural gas (LNG) carriers, and auxiliary services such as heating, ventilation, and air conditioning (HVAC). However, recent publications are often fragmented by domain (aerodynamics, mechanical design, standards, and digitalization), complicating cross-domain engineering decisions for marine duty cycles. This structured review follows an explicit protocol to synthesize peer-reviewed studies (2015–2025) retrieved from Scopus and Web of Science and organizes the evidence by application class: turbocharger-integrated stages for marine diesel and gas-turbine engines, LNG/BOG compression trains, and auxiliary onboard services. The synthesis consolidates (i) aerodynamic KPIs (pressure ratio, efficiency, surge and stall margins, and operating range), (ii) mechanical and lifecycle enablers (seals, bearings, and rotordynamics), and (iii) quantified impacts of digital methods (control, diagnostics, and digital twins). Reported trends include single-stage pressure ratios of ~5.4–5.7, multistage overall pressure ratios exceeding 10, and surge-margin improvements of ~40–44% associated with advanced diffusers as well as casing and endwall treatments. Industrial case studies (non-marine) report downtime reductions of ~25–35% and maintenance-cost reductions of ~25%, while evaluated diagnostic datasets show high accuracy. Key gaps remain in marine-specific validation datasets and harmonized testing and data standards.","url":"https://doi.org/10.3390/en19040991","authors":["Olga Afanaseva","Д. А. Первухин","Mikhail Afanasyev","Aleksandr Khatrusov"],"tags":["Gas compressor","Liquefied natural gas","Downtime","Centrifugal compressor","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.3390/en19040991","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4404169968","name":"Reference architecture for IoT-based predictive maintenance systems using digital twins","source":"openalex","abstract":"Context: Predictive maintenance strategies have become essential to industries where asset quality, product quality, or downtime critically impact costs. Internet of Things (IoT) technologies can be leveraged for predictive maintenance strategies when developing new systems or retrofitting existing systems. Additionally, predictive maintenance strategies are accelerated by real-time synchronized, high-resolution representations of physical objects called Digital Twins. Developing IoT-based predictive maintenance systems is complex, and as such, industrially validated guidelines for the development of such systems are preferred. Objective: The main objective of this study is to develop and empirically validate a Reference Architecture for IoT-based Predictive Maintenance Systems using Digital Twins. Method: We proposed a method to create a Reference Architecture for IoT and Cloud-based Predictive Maintenance Systems using Digital Twins. We have applied a systematic casestudy protocol to validate the reference architecture’s usefulness. We derived application architectures for two real industrial case studies and surveyed practitioners. Result: We demonstrated that the methods of creating a Reference Architecture could be used in the Digital Twin-based predictive maintenance domain and showed how an Application Architecture could be designed in this context. The survey results indicate that the respondents were satisfied with the practicality of the Reference Architecture and derived Application Architecture. Conclusion: The proposed Reference Architecture for IoT-based Predictive Maintenance systems using Digital Twins can be practically applied and used in diverse application domains. Furthermore, the Reference Architecture supports the potential of a predictive maintenance system to enhance operational resilience in manufacturing systems and energy infrastructure.","url":"https://doi.org/10.1016/j.rineng.2026.111115","authors":["Raymon van Dinter","Cagatay Catal","Oscar Arends","Sameer Deshmukh","Fouad Elbakly","Oumeyma fekih romdhane","Kai Grotepass","Marcel Stringer","Bedir Teki̇nerdoğan"],"tags":["Internet of Things","Architecture","Computer science","Predictive maintenance","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.1016/j.rineng.2026.111115","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411094878","name":"Digital Twin Monitoring System for Pedestrian Crossings Based on Autonomous Driving Environment","source":"openalex","abstract":"In response to the growing demand for pedestrian crosswalk safety and visibility in the era of autonomous driving, this paper proposes and designs a crosswalk environment monitoring system based on virtual-physical twin technology. Leveraging Unreal Engine (UE) and Carla simulation software, the system constructs a high-precision virtual environment, integrating real-time data from on-site sensors and weather APIs to achieve comprehensive and dynamic monitoring of crosswalk conditions. A key innovation of the system is the application of a Vision-Language Model (VLM), which automatically translates monitoring data into understandable natural language text while also enabling threshold-based warnings and safety alerts. This enhances the intelligence and automation of the monitoring system. Compared to traditional monitoring methods that primarily rely on graphical visualization, the proposed approach significantly improves data processing efficiency and safety alert capabilities, offering a more efficient, real-time, and intelligent solution for traffic safety management in the context of autonomous driving.","url":"https://doi.org/10.3233/atde250241","authors":["Xiao Teng","Lin Huang","Zhenjiang Shen","Wankai Li"],"tags":["Pedestrian","Computer science","Real-time computing","Embedded system","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-04","doi":"https://doi.org/10.3233/atde250241","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7128918130","name":"Gazer 3d: a Robust, Data Driven, Digital Twin and Immersive Visualisation Platform","source":"openalex","abstract":"Gazer 3D platform characterizes a leading edge, data-driven, immersive visualization, and digital twin technology revolutionizing the modern industrial sectors. Integrating seamless IoT data, streamlined data management, AR/VR techniques, predictive analytics, and real-time data interaction aids the system for machine monitoring, anomaly detection, and predictive maintenance. The distinct features include 3D visualization, AI/ML-based predictive maintenance, photogrammetry integration, and enterprise-grade security. It addresses the challenges of conventional visualization techniques like data management challenges, data visualization challenges, data overload, data cleaning, lack of real-time data insights, scalability challenges, and lack of interconnectedness with legacy systems. It ensures to be secure with the zero trust security model with multi-layers of authentication and authorizations. This study handles the key differentiating features of Gazer 3D technology in overcoming the challenges of conventional models, mentioning the instances from sectoral applications.","url":"https://doi.org/10.71097/ijsat.v17.i1.10344","authors":["Renjithkumar Surendran Pillai","Eoin O’Connel","Patrick Denny","Mohamed Shefeeque"],"tags":["Computer science","Visualization","Scalability","Data visualization","Photogrammetry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.71097/ijsat.v17.i1.10344","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4410900110","name":"Industrial study on holistic digital factory models","source":"openalex","abstract":"Abstract Although studies have demonstrated the potential of holistic digital factory models, their application in industry remains limited. There is a research gap as to why this is the case. In particular, the starting point of the factory operators and their specific requirements for such models are still unclear. This paper presents a mixed-methods study that addresses the existing research gap regarding the implementation of holistic digital factory models. The study investigates the evolving understanding of factory planning, emphasizing the transition from one-time projects to continuous tasks. The key findings reveal a significant need for cross-life-cycle information continuity, highlighting the importance of collaboration and data integration among stakeholders. The research identifies obstacles to achieving holistic digital factory planning, including knowledge management and data availability challenges. Furthermore, the applicability of existing technologies for holistic digital factory models, such as Building Information Modeling and Digital Twins, is examined, demonstrating their relevance in factory planning. Additionally, it is shown that while there is an apparent demand for standardized methods and tools, many existing methodologies are underutilized. The paper concludes with recommendations to further investigate the contrasts between literature and industry practices, as well as the implementation of shared data environments to enhance the efficiency of factory planning processes.","url":"https://doi.org/10.1007/s11740-025-01344-z","authors":["Fabian Bermpohl","Simon F. Schäfer","Oliver Neumann","Eckart Reihlen","Thomas Dickopf","Thomas Gebel","Thomas Neuhäuser","Rüdiger Daub"],"tags":["Factory (object-oriented programming)","Manufacturing engineering","Computer science","Engineering","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-30","doi":"https://doi.org/10.1007/s11740-025-01344-z","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409049613","name":"Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions","source":"openalex","abstract":"This study investigates how Industry 4.0 technologies can optimize transportation efficiency and contribute to global sustainability goals by reducing CO2 emissions. In response to the pressing climate emergency, the research examines the role of the Internet of Things (IoT), Artificial Intelligence (AI), and predictive analytics in enhancing operational performance and aligning transportation systems with Sustainable Development Goals (SDGs), particularly Goal 13 (climate action) and Goal 9 (industry, innovation, and infrastructure). Using a qualitative research approach, semi-structured interviews and focus groups were conducted with industry experts, and the data were analyzed using thematic analysis and qualitative network mapping in NVivo software. The findings reveal that IoT enhances real-time monitoring, AI enables dynamic route optimization, and predictive analytics supports proactive maintenance, collectively achieving an average emission reductions of 30%. However, adoption is hindered by infrastructure gaps, high implementation costs, skill shortages, and fragmented regulatory frameworks. This study integrates the Technology–Organization–Environment (TOE) framework and Sustainable Corporate Theory to provide a structured analysis of digital transformation in transportation. The findings offer strategic insights for policymakers and industry stakeholders, highlighting the need for stronger regulatory support, targeted incentives, and digital infrastructure investments.","url":"https://doi.org/10.3390/futuretransp5020034","authors":["Hajar Fatorachian","Hadi Kazemi","Kulwant S. Pawar"],"tags":["Digital transformation","Transformation (genetics)","Computer science","Environmental economics","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-31","doi":"https://doi.org/10.3390/futuretransp5020034","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412456672","name":"Developing a Competency-Based Transition Education Framework for Marine Superintendents: A DACUM-Integrated Approach in the Context of Eco-Digital Maritime Transformation","source":"openalex","abstract":"Amid structural changes driven by the greening and digital transformation of the maritime industry, the demand for career transitions of seafarers with onboard experience to shore-based positions—particularly ship superintendents—is steadily increasing. However, the current lack of a systematic education and career development framework to support such transitions poses a critical challenge for shipping companies seeking to secure sustainable human resources. The aim of this study was to develop a competency-based training program that facilitates the effective transition of seafarers to shore-based ship superintendent roles. We integrated a developing a curriculum (DACUM) analysis with competency-based job analysis to achieve this aim. The core competencies required for ship superintendent duties were identified through three expert consultations. In addition, social network analysis (SNA) was used to quantitatively assess the structure and priority of the training content. The analysis revealed that convergent competencies, such as digital technology literacy, responsiveness to environmental regulations, multicultural organizational management, and interpretation of global maritime regulations, are essential for a successful career shift. Based on these findings, a modular training curriculum comprising both common foundational courses and specialized advanced modules tailored to job categories was designed. The proposed curriculum integrated theoretical instruction, practical training, and reflective learning to enhance both applied understanding and onsite implementation capabilities. Furthermore, the concept of a Seafarer Success Support Platform was proposed to support a lifecycle-based career development pathway that enables rotational mobility between sea and shore positions. This digital learning platform was designed to offer personalized success pathways aligned with the career stages and competency needs of maritime personnel. Its cyclical structure, comprising career transition, competency development, field application, and performance evaluation, enables seamless career integration between shipboard- and shore-based roles. Therefore, the platform has the potential to evolve into a practical educational model that integrates training, career development, and policies. This study contributes to maritime human resource development by integrating the DACUM method with a competency-based framework and applying social network analysis (SNA) to quantitatively prioritize training content. It further proposes the Seafarer Success Support Platform as an innovative model to support structured career transitions from shipboard roles to shore-based supervisory positions.","url":"https://doi.org/10.3390/su17146455","authors":["Yung-Ung Yu","Chang-Hee Lee","Young-Joong Ahn"],"tags":["Context (archaeology)","Transition (genetics)","Transformation (genetics)","Engineering management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-15","doi":"https://doi.org/10.3390/su17146455","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412838645","name":"Dynamic BIM-based digital twin for lifecycle estimation of infrastructure embodied carbon","source":"openalex","abstract":"Embodied carbon plays a pivotal role in whole-life carbon emissions of infrastructure projects. Estimation of embodied carbon by using life cycle assessment (LCA) is complex, as numerous variables can impact its accuracy. This study reviews the literature on existing BIM-LCA workflows, identifying methodology advancements to enhance conventional workflows and exploring the integration with the digital twin. BIM-LCA workflows have been widely applied in the literature for embodied carbon assessment, with improving data interoperability identified as a hotspot to further expand this application. However, existing workflows fail to incorporate time-dependent factors in early-stage estimations, limiting predictive accuracy. Additionally, digital twin technology has not been integrated into current methodologies, limiting real-time data updates and automated monitoring during the operational stage. Therefore, a conceptual framework is proposed to incorporate a digital twin for predicting and real-time monitoring embodied emissions. It offers a pathway toward more accurate and dynamic whole-life carbon emission assessments.","url":"https://doi.org/10.1201/9781003595120-53","authors":["Tingting Zou","Chuan Li","Hui Lei","Ge Zhang"],"tags":["Embodied cognition","Computer science","Business","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-14","doi":"https://doi.org/10.1201/9781003595120-53","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4401179667","name":"A comprehensive overview of industrial demand response status in Europe","source":"openalex","abstract":"Industrial demand response (IDR) will play a crucial role in shaping future electricity systems, as it is a key element of a just energy transition and industrial development. The aim of this work is to provide an overview of the current status of IDR in a holistic perspective. First, the main benefits and potential of IDR are reviewed, together with the motivations and challenges for the industrial sector. Most recent advances in European markets and regulations with specific focus on IDR applications are explored. Then, the different resources which are currently available to help industries participate and implement IDR programmes are reviewed. In particular: 1) the (possible) tools for defining energy-aware scheduling and planning of the manufacturing systems are analysed; 2) The role of aggregators (i.e. intermediaries between industries and power markets) for facilitating explicit IDR is examined; 3) the importance of digitalisation to provide better IDR services from the manufacturing industry is highlighted, pointing out that digital twins, cyber-physical systems, Internet of Things sensors, robots, edge computing, artificial intelligence, and big data are promising technologies; and 4) most recent related research projects are reviewed. Finally, it is analysed and discussed how each of those resources can address the different challenges that are still preventing industries to apply IDR programmes.","url":"https://doi.org/10.1016/j.rser.2024.114797","authors":["Matteo Ranaboldo","Mònica Aragüés‐Peñalba","Emrah Arica","A. Bade","Eduard Bullich‐Massagué","Alessandro Burgio","Chiara Caccamo","Adriano Caprara","Domenico Cimmino","Bruno Domenech","I. Donoso","Giuseppe Fragapane","Paula González-Fontderubinat","E. Jahnke","Marc Juanpera","Ehsan Manafi","Jessica Rövekamp","R. Tani"],"tags":["Industry 4.0","Big data","Intermediary","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-31","doi":"https://doi.org/10.1016/j.rser.2024.114797","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7160662231","name":"Exploring the feasibility and usefulness of a digital twin in the valorization of organic waste streams in Uganda","source":"openalex","abstract":"Valorization of organic waste streams receives growing attention to improve resource efficiency and support a circular economy. One potential valorization option is converting organic waste into biofertilizers, but logistical challenges around waste availability, consistency and transportation hinder its potential. Digital twins—virtual models integrating real-time data—could enhance decision-making for waste valorization, but their application remains limited to data intensive, controlled environments. In this exploratory study we applied the Motivation-Opportunity-Ability framework and an infological approach to assess stakeholder perspectives and feasibility of the digital twin concept in a relatively complex and data-scarce environment: the valorization of organic waste in Uganda. Findings indicate that actors are Motivated to valorize waste for sustainability and economic benefits, but limited waste availability and predictive capacity to optimize the valorization process restrict Opportunities and Ability. Composting of wet coffee pulp with black soldier fly larvae emerged as a promising valorization case, in which a digital model could support decision-making towards improved yields of larvae and frass (output), based on amount, quality and the costs of different waste streams (input). Limited automation, data sharing and value creation make the development of a fully integrated digital twin unlikely in the near future. In the resource-constrained setting of our study, relatively simple digital models that can gradually be advanced based on technical feasibility, perceived importance of parameters and resources available are required instead. To ensure a successful implementation, a user-driven design approach focusing on practical decision-problems rather than on technological potential alone is key. • Digital twins can aid decision-making for waste valorization in a circular economy. • We combined the Motivation-Opportunity-Ability framework and an infological approach. • Despite Motivation, limited organic waste constrains valorization Opportunities. • Wet coffee pulp x BSF larvae composting could benefit from a potential digital twin. • User-driven design and practical decision-problems are key for model implementation.","url":"https://doi.org/10.1016/j.crsust.2026.100354","authors":["E. Ronner","Oana Butuc","Gerrie van de Ven","Petronella Margaretha Slegers"],"tags":["Sustainability","Waste management","Resource (disambiguation)","Circular economy","Resource recovery"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1016/j.crsust.2026.100354","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7130383151","name":"Tackling the Complexity of Emergency Response Systems: Creating Transport-Focused Digital Twins","source":"openalex","abstract":"Providing medical and technical assistance to people in life-threatening situations requires the coordinated cooperation of numerous actors within the emergency response system. The efficiency of the emergency response system is thereby influenced by the transport infrastructure and the traffic conditions. Organizations and authorities with safety responsibilities are increasingly faced with the challenge of assessing the impact of changes to the transport system on the overall system’s effectiveness. The overall objective of this paper is to develop an efficient and cost-effective simulation and analysis platform for generating transport-focused digital twins, enabling organizations and authorities to monitor the current emergency response system and digitally analyze various ‘what-if’ scenarios for future planning. Our model combines various data sources, including real-time traffic data, recorded GPS data from emergency vehicles (EVs), and the road network. The data serves as the foundation for the indicator-based network analysis and the system model. The main actors in the emergency response system are modeled in the agent-based model to analyze the spatiotemporal impact of changes in the transport system on the system’s effectiveness. The developed simulation and analysis platform is applied to a case study of the Munich Fire Department, Germany. First, a network analysis using regression of EV speed on reported real-time traffic speed helps identify problematic areas where EVs are affected by traffic. Secondly, the agent-based model of the Munich fire department demonstrates good validation results against historical incident data, with recorded trajectory data used for model calibration. Our work contributes to efficient, data-driven planning for future emergency response systems.","url":"https://doi.org/10.3390/smartcities9020036","authors":["Fabian Schuhmann","Moritz Sturm","Till Zacher","Markus Lienkamp"],"tags":["Emergency response","Global Positioning System","Work (physics)","Computer science","Operations research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-18","doi":"https://doi.org/10.3390/smartcities9020036","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415588295","name":"Urban Digital Twin Data Requirements and Reference Architecture for Green Spaces and Ecosystems","source":"openalex","abstract":"Abstract As cities face growing pressure from climate change, biodiversity loss, and urbanization, there is an urgent need for data-driven tools to support the planning and resilience of green infrastructure. This paper presents a methodology for developing Urban Digital Twins (UDTs) focused on green space planning, monitoring, and regeneration. The process begins with the identification of Key Performance Indicators (KPIs) across five thematic areas: pollution and climate, natural environment, ecosystems, human perception, and public awareness. Based on these KPIs, a set of enabling digital technologies is evaluated through expert ranking, using Kendall’s W concordance coefficient to assess consensus on their relevance. The results highlight strong agreement among experts, with IoT, GIS, and BIM emerging as the most suitable technologies due to their capacity for real-time sensing, semantic integration, and spatial representation. Drawing from these insights, the paper proposes a five-layer reference architecture for UDTs designed to support adaptive, inclusive, and data-driven urban greening efforts. The findings offer guidance for cities and stakeholders aiming to implement UDTs for urban resilience.","url":"https://doi.org/10.1007/978-3-032-09040-9_5","authors":["Lina Morkūnaitė","Darius Pupeikis","Vytautas Bocullo","Eglė Klumbytė","Andrea Conserva","Chiara Farinea","Alice Bazzica","Peter Barmann","Fruzsina Csala"],"tags":["Thematic map","Environmental resource management","Process (computing)","Computer science","Green infrastructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-27","doi":"https://doi.org/10.1007/978-3-032-09040-9_5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4402925682","name":"Systems Thinking of Marine Policies in Promoting Environmental Law, Sustainability, and Digital Technologies: Social Challenges in Belt and Road Initiative Countries","source":"openalex","abstract":"The success of marine environmental regulations in terms of social challenges in Belt and Road Initiative (BRI) countries is the main subject of this study, which compares and contrasts them with an eye toward sustainability, the integration of digital technologies, environmental law, and reducing ecological degradation. Environmental solid governance is essential as BRI countries increase their marine activity, an important part of the world economy by systems thinking; the marine industry includes a broad range of operations about the ocean and its resources through social challenges to promote environmental legislation in terms of emissions in the countries participating in the BRI. This study evaluated the effects of institutional quality and technical advancements in marine policies between 2013 and 2024. This project aims to examine how various policy contexts relate to marine conservation, how well they comply with international environmental regulations, and how digital technology can improve the monitoring and implementation of policies through systems thinking. This study aims to determine common obstacles and best methods for enforcing marine policies by examining research from different BRI countries. The results deepen our understanding of how these policies can be best utilized to meet sustainable development objectives while preventing the degradation of marine ecosystems due to economic growth and business.","url":"https://doi.org/10.3390/systems12100400","authors":["WU Xiao-ping","Muhammad Bilawal Khaskheli"],"tags":["Sustainability","Political science","Social sustainability","Environmental law","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-27","doi":"https://doi.org/10.3390/systems12100400","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7128032418","name":"Optimization of the Design and Manufacturing Processes for Metal Additive Manufacturing Through Digital Twin","source":"openalex","abstract":"The aim of this study is to develop a digital twin hierarchy that fully examines the design and manufacturing processes of an automotive component for metal additive manufacturing. Initially, a lighter model was obtained that was more resistant to static, dynamic, and fatigue loads under various operating conditions. This step improved product strength and resulted in a 28.5% mass reduction. After the product was validated, the orientation of the part direction and the generation of support structures were performed for the manufacturing process. These processes were implemented with the criterion of minimizing production time. Finally, the manufacturing process was digitally implemented using the selective laser melting method and Ti6Al4V material. The design of the experiment was created using the three most frequently preferred values for each of the three important process parameters. After performing process simulations with thermomechanical analyses, Taguchi and ANOVA were applied to the process parameters. The optimum process parameters for layer thickness, hatch spacing, and scanning speed were found to be 50 µm, 120 µm, and 1200 mm/s, respectively.","url":"https://doi.org/10.3390/pr14030571","authors":["Hüseyin Botsalı","Cevat Özarpa"],"tags":["Selective laser melting","Taguchi methods","Process (computing)","Manufacturing engineering","Process variable"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-06","doi":"https://doi.org/10.3390/pr14030571","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4400646805","name":"Digital Footprints of Obesity Treatment: GLP-1 Receptor Agonists and the Health Equity Divide","source":"openalex","abstract":"Our research investigates the societal implications of access to glucagon-like peptide-1 (GLP-1) agonists, particularly in light of recent clinical trials demonstrating the efficacy of semaglutide in reducing cardiovascular mortality. A decade-long analysis of Google Trends indicates a significant increase in searches for GLP-1 agonists, primarily in North America. This trend contrasts with the global prevalence of obesity. Given the high cost of GLP-1 agonists, a critical question arises: Will this disparity in medication accessibility exacerbate the global health equity gap in obesity treatment? This viewpoint explores strategies to address the health equity gap exacerbated by this emerging medication. Because GLP-1 agonists hold the potential to become a cornerstone in obesity treatment, ensuring equitable access is a pressing public health concern.","url":"https://doi.org/10.1161/circulationaha.124.069680","authors":["Zahra Azizi","Fátima Rodríguez","Themistocles L. Assimes"],"tags":["Medicine","Semaglutide","Obesity","Equity (law)","Global health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-15","doi":"https://doi.org/10.1161/circulationaha.124.069680","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415338314","name":"Advanced NeRF (ABM-Nerfacto) for High-Definition Digital Twin and Damage Mapping","source":"openalex","abstract":"Since 2017, extensive damage detection using advanced deep learning models and computer vision techniques has been actively explored. However, efficiently mapping detected damage in 3D digital twin model remains a challenge, as few studies have successfully integrated deep learning and computer vision for precise damage representation. To address this gap, this study investigates an enhanced NeRF-based model, ABM-Nerfacto [1], designed for high-definition and efficient damage mapping in 3D digital twin. This advancement facilitates more effective structural health monitoring, infrastructure maintenance, and a comprehensive pixel-level overview of damage distribution. The Nerfacto model was extensively modified and integrated with an advanced attention mechanism to improve its ability to learn structural features and damage patterns. When applied to a bridge system, the developed model demonstrated exceptional accuracy in pixel-wise damage mapping, successfully generating a highfidelity 3D digital twin.","url":"https://doi.org/10.12783/shm2025/37536","authors":["GEONTAE KIM","YOUNGJIN CHA"],"tags":["Computer science","Artificial intelligence","Deep learning","Bridge (graph theory)","Structural health monitoring"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.12783/shm2025/37536","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4381742302","name":"Digital Transformation, Service-Oriented Manufacturing, and Total Factor Productivity: Evidence from A-Share Listed Companies in China","source":"openalex","abstract":"Promoting corporate total factor productivity is important content for high-quality development in the manufacturing industry. Under the background of digitalization, probing whether digital transformation affects corporate total factor productivity is worth further study. We investigate the digitalization level of China’s listed manufacturing companies from a micro perspective using text analysis methods and empirically study whether and how corporate digital transformation affects its total factor productivity. We reveal that: First, moderate digital transformation improves the total factor productivity of manufacturing firms significantly, and there is a nonlinear inverted U-shaped effect between them, which is robust across different methods of measuring digital transformation and TFP and samples and passes the sensitivity analysis. Second, mechanism examination verifies that the promotion effects that digital transformation provides on corporate total factor productivity is mainly through promoting service-oriented manufacturing, technological innovation, and enterprise-scale effect. Third, that promotion effect is more intensified when the company is state-owned, or the company is non-key pollution monitored. Finally, with the deepening of digitalization, its positive promotion effect on corporates’ total factor productivity varies—showing a significant threshold feature, which is much stronger when the degree is lower than the critical value. This paper argues that digitalization has a marginal decreasing boosting effect on enterprise total factor productivity after reaching a certain degree. The study plays an important role in guiding the current promotion of enterprise digital transformation.","url":"https://doi.org/10.3390/su15139974","authors":["Yan Wang","Ping Han"],"tags":["Total factor productivity","Digital transformation","Business","Industrial organization","Productivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-23","doi":"https://doi.org/10.3390/su15139974","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414543871","name":"The Role of Digital Technologies in Advancing Sustainable Economic Development into Intersections of Policy, Law, Environmental Economics, and a Comparative Study of China, the EU, and the USA","source":"openalex","abstract":"This research delves into the central position of digital technology as a stimulator of sustainable economic advancement. This study examines the complementary convergence of policy structures, law, and environmental economics that unleashes this advancement. This research finds and explores converging strategies in tapping digital innovation towards sustainability goals through benchmarking China, the EU, and the USA. This study bridges a gap in the literature since it undertakes a systematic, cross-disciplinary analysis and offers policymakers valuable inputs to craft effective strategies leveraging technology to a prosperous, sustainable world future. The results prove that new technologies enhance environmental law efficacy, transparency, and enforcement. It provides a prospective framework integrating digital solutions into policy and legal design, connecting economic growth with environmental degradation. Imperial methods in the form of qualitative research grounded on literature review, secondary data, green growth sustainable development, circular economy project studies, and smart conurbations to evaluate the efficacy of digital policy machinery indicate that digitally empowered policies significantly enhance resource productivity, maximise environmental taxation and cap-and-trade instruments, and enhance green innovation. This paper concludes with a policy road map for integrating digital to achieve synergistic economic and environmental objectives, calling for a new paradigm in environmental economic policy and law.","url":"https://doi.org/10.3390/su17198666","authors":["Yizhi Zhang","Muhammad Bilawal Khaskheli"],"tags":["Sustainability","Craft","Benchmarking","Sustainable development","Resource efficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-26","doi":"https://doi.org/10.3390/su17198666","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2999854965","name":"Opportunities of the Digital Economy for Achieving Competitive Advantage of Firms","source":"openalex","abstract":"The present article studies the opportunities and constraints of the digital economy, that have a significant impact on how modern firms attain and sustain competitive advantage. Economic agents that manage to use digitalization of business to their best advantage get access to the most innovative methods of creating, delivering and obtaining product value. However, digital technologies also constitute threats to traditional competitive advantage, which greatly contributed to firms' successful performance in the market. The article discusses the tendencies of creating and developing competitive advantage, with the account taken of the turbulent business environment and the complexity of the digital environment where firms have to compete. The conclusion has been made on the need for a digital strategy to guide firms through opportunities and prospects of applying certain digital economy technologies. Another aspect of creating competitive advantage in the digital economy is related to developing cooperation within interorganizational networks. It is also essential to ensure coordinated actions on building long-term relationships with consumers, according to digital economy technologies being introduced, and creating competitive advantage.","url":"https://doi.org/10.2991/aebmr.k.191225.013","authors":["Elena Alexandrova","Marina Poddubnaya","Ksenia Shalenaya","Sofia M. Savvidi"],"tags":["Competitive advantage","Digital economy","Industrial organization","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.2991/aebmr.k.191225.013","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7117107096","name":"Modeling and Evaluation of Reversible Traction Substations in DC Railway Systems: A Real-Time Simulation Platform Toward a Digital Twin","source":"openalex","abstract":"Traditional diode-based rectifiers (TDRs) in railway traction substations (TSSs) are inefficient at handling bidirectional power flow and cannot recover regenerative braking energy (RBE). Replacing these conventional systems with reversible traction substations (RTSSs) requires detailed modeling, extensive simulations, and validation using real data. This paper presents a DT-oriented real-time modeling and Hardware-in-the-Loop (HIL) platform for the analysis and performance assessment of RTSSs in DC railway systems. The integration of interleaved PWM rectifiers enables bidirectional power flow, allowing efficient RBE recovery and its return to the main grid. Modeling railway networks with moving trains is complex due to nonlinear dynamics arising from continuously varying positions, speeds, and accelerations. The proposed approach introduces an innovative multi-train simulation method combined with low-level transient and power-quality analysis. The validated DT model, supported by HIL emulation using OPAL-RT, accurately reproduces real-world system behavior, enabling optimal component sizing and evaluation of key performance indicators such as voltage ripple, total harmonic distortion, passive-component stress, and current imbalance. The results demonstrate improved energy efficiency, enhanced system design, and reduced operational costs. Meanwhile, experimental validation on a small-scale RTSS prototype, based on data from the Italian 3 kV DC railway system, confirms the accuracy and applicability of the proposed DT-oriented framework.","url":"https://doi.org/10.3390/app16010080","authors":["Dario Zaninelli","Hamed Jafari Kaleybar","Morris Brenna"],"tags":["Train","Traction substation","Emulation","Computer science","Power flow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-21","doi":"https://doi.org/10.3390/app16010080","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4383265533","name":"Devising a method for detecting “evil twin” attacks on IEEE 802.11 networks (Wi-Fi) with KNN classification model","source":"openalex","abstract":"The object of research is IEEE 802.11 (Wi-Fi) networks, which are often the targets of a group of attacks called \"evil twin\". Research into this area is extremely important because Wi-Fi technology is a very common method of connecting to a network and is usually the first target of cybercriminals when they attack businesses. With the help of a systematic analysis of the literature focused on countering attacks of the \"evil twin\" type, this work identifies the main advantages of using artificial intelligence systems in the analysis of network data and identification of intrusions in Wi-Fi networks. To evaluate the effectiveness of intrusion detection and cybercrime analysis, a number of experiments as close as possible to real attacks on Wi-Fi networks were conducted. As part of the research reported in this paper, a method is proposed for detecting cybercrimes in IEEE 802.11 (Wi-Fi) wireless networks using artificial intelligence, namely a model built on the basis of the k-nearest neighbors method. This method is based on the classification of previously collected data, namely the signal strength from the access point, and then continuous comparison of the newly collected data with the trained model. A compact and energy-efficient prototype of a hardware and software system has been designed for the implementation of monitoring, analysis of ethernet network packets and data storage based on time series. In order to reduce the load on the computer network and taking into account the limited computing power of the system, a method of data aggregation was proposed, which ensures fast transfer of information. The results, namely 100 % of test cases (more than 7 thousand), were classified correctly, which indicates that the chosen method of data analysis will significantly increase the security of information and communication systems at the state and private levels","url":"https://doi.org/10.15587/1729-4061.2023.282131","authors":["Роман Банах","Andrian Piskozub","Іvan Оpirskyy"],"tags":["Computer science","Network packet","Ethernet","Identification (biology)","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-30","doi":"https://doi.org/10.15587/1729-4061.2023.282131","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2988855903","name":"Digital City: An Urban Perspective on Digital Earth","source":"openalex","abstract":"Abstract Digital Earth and many other satellite and semiconductor-enabled cartography advances imply the need for a globally useful schema for more scientific and eco-ethical management of cities. How should we plan an internationally cohesive and locally effective system for understanding and managing urban stocks and flows around our planet? The answer to this question depends on new systems for managing geodata to underpin increasingly automated systems for evidence-based decision making. The current concept of Digital Earth as a “self-aware nervous system” is being advanced by urban proto-projects that are supported or followed by globally applicable initiatives including Singapore’s new Geospatial Masterplan, the International Standards Organization’s City Standards, Denmark’s Open Public Life Data Protocol, and the City-GML data model. These recent ventures are progressing a movement that extends far beyond the 1990s concepts of “smart cities” enabled by wireless telecommunications. In the Digital Earth science paradigm, cities must simulate their key situations and scenarios and analyze Earth observation data obtained via satellite-enabled devices that remotely detect and interpret all the light and radio waves of the electromagnetic spectrum.","url":"https://doi.org/10.1007/978-981-32-9915-3_16","authors":["Davina Jackson","Richard L. Simpson"],"tags":["Digital Earth","Geospatial analysis","Telecommunications","Smart city","Schema (genetic algorithms)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-18","doi":"https://doi.org/10.1007/978-981-32-9915-3_16","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411605901","name":"A Multi-Layer Navigation Approach for Interactive Pedestrian Flow Simulation in Digital Twins","source":"openalex","abstract":"Pedestrian flow simulation is crucial for accurately depicting daily activities and dynamics of infrastructures, such as town halls, train stations, or airports. Current pedestrian flow models often lack the capability to interact with environmental changes in real-time or only focus on one-directional interactions via prescribed events. To address this limitation, we propose a hybrid approach that combines graph-based methods for large-scale navigation with the optimal steps model for small-scale navigation and locomotion of agents. This combination enables dynamic updates according to environmental changes provided by other simulations. We demonstrate the effectiveness of our proposed approach in an exemplary airport architecture where pedestrian simulation is coupled with an electrical simulation, resulting in a successful bidirectional coupling. Specifically, we consider a scenario where a saboteur agent meddles with an electrical circuit, causing a ripple effect that impacts ped estrian behavior.","url":"https://doi.org/10.5220/0013555700003970","authors":["Christoph Nellinger","Jan Marius Stürmer","Tobias Koch"],"tags":["Computer science","Pedestrian","Layer (electronics)","Flow (mathematics)","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.5220/0013555700003970","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7128399452","name":"Application of machine learning to mechanical properties of composite materials: A ten-year review (2015–2025)","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engappai.2026.114068","authors":["Jinjing Zhu","Ruixiang Bai","Yaoxing Xu","Jiantong Wang","Longchao He","Zhenkun Lei","Cheng Yan"],"tags":["Computer science","Aerospace","Composite number","Nonlinear system","Sensitivity (control systems)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.1016/j.engappai.2026.114068","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7142613171","name":"Enhancing Flexible Healthcare Management Through the Adoption of Digital Twin Technology: An Integrated UTAUT2-TOE Framework with SEM-ANN Analysis","source":"openalex","abstract":"Abstract This study examines the behavioral and organizational factors that influence the adoption of digital twin (DT) technologies in healthcare, particularly in resource-constrained environments such as Bangladesh. It emphasizes the often-overlooked human and institutional aspects of DT adoption, alongside technical considerations. An integrated model was developed by combining the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the Technology-Organization-Environment (TOE) framework, drawing on six key constructs from each. Data collected from 439 healthcare professionals were analyzed using a hybrid approach of structural equation modeling (SEM) and artificial neural networks (ANNs). The results show that all predictors have a significant impact on behavioral intention, with complexity having a negative effect. ANN sensitivity analysis identified regulatory support, effort expectancy, facilitating conditions, and complexity as the most influential factors. These contribute to flexible management dimensions in hospitals. While the model explains 88.4% of the variance in behavioral intention, it accounts for only 8.5% of actual DT adoption, suggesting the influence of other organizational factors. This study is among the first to use an integrated UTAUT2-TOE framework with an SEM-ANN approach for DT adoption in healthcare. The findings provide valuable insights for healthcare policymakers, underscoring the importance of supportive infrastructure, user-friendly technology, and regulatory alignment.","url":"https://doi.org/10.1007/s40171-026-00491-1","authors":["Ismail Hossain","H. M. Belal","Shahriar Hasan Ratul","Md. Ashikur Rahman"],"tags":["Variance (accounting)","Structural equation modeling","Knowledge management","Key (lock)","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-29","doi":"https://doi.org/10.1007/s40171-026-00491-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413032125","name":"An Integrated Digital Twin and BIM Approach to Minimize Environmental Loads for In-situ Production and Yard-Stock Management of Precast Concrete Components","source":"preprints","abstract":"Digital Twin (DT) technology has become a cornerstone of data-driven decision-making in the construction industry through its simulation and predictive capabilities. The integration of Building Information Modeling (BIM) and DT forms a closed-loop system that delivers dynamic operational insights, including predictive maintenance, performance tracking, and risk assessment. This study introduces a BIM-enabled DT framework designed to optimize in-situ production and stockyard management of precast concrete (PC) components. Utilizing the Oracle Crystal Ball simulation tool, CO₂ emissions optimization were conducted. Results showed potential reductions up to 8.7% in environmental impact. The framework was validated through application to a large-scale logistics warehouse project, providing practical insights for sustainable construction planning.","url":"https://doi.org/10.20944/preprints202508.0226.v1","authors":["Junyoung Park","Sunkuk Kim","Jeeyoung Lim"],"tags":["Precast concrete","Yard","Stock (firearms)","Engineering","Construction engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.20944/preprints202508.0226.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"oa:W4296351226","name":"Legal regulation of the genesis of digital identity","source":"openalex","abstract":"The article deals with a new phenomenon for the legal science – the institute of legal regulation of the genesis of digital identity. The subject of the research is the relations that emerge in the process of such regulation. The aim of the research is to analyze the legal regulation of the institute of digital identity at the international, regional and national levels, including in the Russian Federation. The methodological basis of the research is the logical and systematic methods of scientific knowledge, as well as methods of analysis and synthesis, formal-dogmatic and comparative-legal methods. International, foreign and domestic experience in the genesis of digital identity is studied. The features of legal regulation of each of the elements of digital identity – digital profile, digital image, digital footprint – are analyzed. At the same time, the legal regulation of the relevant relations is considered in their dynamics. As a result of the study, conclusions were made about the peculiarities of international legal regulation of relations related to the genesis of a legal identity, the legal regulation of these relations in the European Union and China. It is noted that international legal regulation of relations related to the genesis of legal personality is carried out, as a rule, only in connection with the need to protect human rights and freedoms in the digital age, including in virtual space; in the European Union the legal regulation is mainly subject to the digital profile of the person, based on his personal data; at the level of individual states the most holistic and systemic regulation of relations related to digital identity is carried out in the People's Republic of China on the Special attention is given to the problems of legal regulation of the genesis of digital identity in the Russian Federation. It is noted that the problems of legal regulation of the genesis of digital identity are becoming particularly relevant at the present time. Its theoretical comprehension is a prerequisite for improving current legislation and law enforcement practice in the Russian Federation. It is pointed out that there are significant gaps in the legal regulation of relations related to the digital footprint in Russia, the most regulated relations in the area of digital profile and digital image; further lack of legal regulation of the collection and processing of information that constitutes the content of the digital identity footprint in Russia will lead to a massive violation of individual rights and freedoms. The study also found that the international legal regulation of relations related to the genesis of the legal personality is usually carried out only in connection with the need to protect human rights and freedoms in the digital age, including in virtual space, and in the European Union the legal regulation is mainly subject to the digital profile of the person, which is based on his personal data.","url":"https://doi.org/10.52468/2542-1514.2022.6(3).19-32","authors":["Олег Степанов","Mikhail М. Stepanov"],"tags":["Legal research","Political science","Identity (music)","European union","Digital identity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-17","doi":"https://doi.org/10.52468/2542-1514.2022.6(3).19-32","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4386716645","name":"Application of Digital Tools, Data Analytics and Machine Learning in Internal Audit","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-43662-8_26","authors":["Jelena Popara","Milena Savković","Danijela Ćirić Lalić","Bojаn Lаlić"],"tags":["Internal audit","Audit","Analytics","Knowledge management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-43662-8_26","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411832148","name":"Digital Transitions of Critical Energy Infrastructure in Maritime Ports: A Scoping Review","source":"openalex","abstract":"This scoping review investigates the digital transition of critical energy infrastructure (CEI) in maritime ports, which are increasingly vital as energy hubs amid global decarbonisation efforts. Recognising the growing role of ports in integrating offshore renewables, hydrogen, and LNG systems, the study examines how digital technologies (such as automation, IoT, and AI) support the resilience, efficiency, and sustainability of port-based CEI. A multifaceted search strategy was implemented to identify relevant academic and grey literature. The search was performed between January 2025 and 30 April 2025. The strategy focused on databases such as Scopus. Due to limitations encountered in retrieving sufficient, directly relevant academic papers from databases alone, the search strategy was systematically expanded to include grey literature such as reports, policy documents, and technical papers from authoritative industry, governmental, and international organisations. Employing Arksey and O’Malley’s framework and PRISMA-ScR (scoping review) guidelines, the review synthesises insights from 62 academic and grey literature sources to address five core research questions relating to the current state, challenges, importance, and future directions of digital CEI in ports. Literature distribution of articles varies across continents, with Europe contributing the highest number of publications (53%), Asia (24%) and North America (11%), while Africa and Oceania account for only 3% of the publications. Findings reveal significant regional disparities in digital maturity, fragmented governance structures, and underutilisation of digital systems. While smart port technologies offer operational gains and support predictive maintenance, their effectiveness is constrained by siloed strategies, resistance to collaboration, and skill gaps. The study highlights a need for holistic digital transformation frameworks, cross-border cooperation, and tailored approaches to address these challenges. The review provides a foundation for future empirical work and policy development aimed at securing and optimising maritime port energy infrastructure in line with global sustainability targets.","url":"https://doi.org/10.3390/jmse13071264","authors":["Emmanuel Itodo Daniel","Augustine B. Makokha","Xin Ren","Ezekiel Olatunji"],"tags":["Critical infrastructure","Telecommunications","Business","Environmental planning","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-29","doi":"https://doi.org/10.3390/jmse13071264","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415912502","name":"Comparative analysis on AI-driven human digital twin for personalized and predictive medicine","source":"openalex","abstract":"The emergence of digital twin technology in medicine signifies a paradigm shift toward personalized healthcare and precision therapeutics. A human digital twin (HDT) is a dynamic, virtual representation of an individual’s physiological state, constructed and continuously updated via real-time data streams from wearable sensors, advanced imaging, and molecular diagnostics. This paper comparatively analyses the capacity of HDTs to enable high-fidelity simulation of patient-specific disease conditions, thereby optimizing therapeutic intervention, surgical planning, and predictive health management. By integrating advancements in artificial intelligence, machine learning, and the Internet of Things (IoT), HDTs facilitate the modeling of complex, multi-scale biological interactions, from genetic and molecular pathways to systemic organ function. We review current computational frameworks for HDT development, address critical challenges including data integration, model interoperability, and validation, and consider the transformative impact on clinical workflows. Concurrently, we examine the imperative ethical considerations and data security protocols required for responsible clinical deployment. The realization of personal digital twins holds the potential to revolutionize medical practice by facilitating truly individualized therapeutic strategies, improving patient outcomes, and accelerating biomedical discovery.","url":"https://doi.org/10.59324/jcpmr.2025.1(1).06","authors":["Ghulam Muhayyu Din","M. Shams","Ahmad Nesaar Rahmani","Abdul Rehman","Mohammed Manea Ahmed","Muhammad Adnan Shoukat"],"tags":["Computer science","Data science","Digital health","Precision medicine","Personalized medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-16","doi":"https://doi.org/10.59324/jcpmr.2025.1(1).06","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409166500","name":"Research on the Promotion Effect of the Marketization of Data Elements on the Digital Transformation of Manufacturing Enterprises: An Empirical Evaluation of a Multiperiod DID Model","source":"openalex","abstract":"The marketization of data elements is a critical step in harnessing the potential of data as a “new” economic element. This process is essential for driving the digital transformation of manufacturing enterprises and achieving sustainable development. Using data from listed manufacturing enterprises (2013–2022), this study applied the difference-in-differences method to analyze how the marketization of data elements accelerates digital transformation. The results indicated that data trading platforms play a significant role by lowering enterprise costs, easing financing constraints, fostering digital technology innovation, and promoting the growth of the digital service industry. The impact varies across regions, ownership structures, and executive backgrounds. This research offers fresh insights into facilitating the digital transformation of manufacturing enterprises and provides practical guidance for policymakers to advance the market-oriented reform of data elements and enhance enterprises’ digital capabilities.","url":"https://doi.org/10.3390/su17073199","authors":["Dandan Wang","Tongfei Yang"],"tags":["Marketization","Promotion (chess)","Transformation (genetics)","Digital transformation","Empirical research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-03","doi":"https://doi.org/10.3390/su17073199","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414411536","name":"ENACT: Energy-Aware, Actionable Twin Utilizing Prescriptive Techniques in Home Appliances","source":"openalex","abstract":"A significant portion of home energy consumption is due to concealed faults and the inefficient usage of home appliances, usually because of user ignorance and a lack of proactive maintenance strategies. In this paper, ENACT, a digital-twin-based system, is proposed as the solution that facilitates better user understanding, encourages sustainable maintenance practices for appliances, and provides prescriptive maintenance recommendations. With the integration of smart plugs, behavioral analysis, and a 3D spatial interface, ENACT offers real-time device monitoring while providing context-aware suggestions. The system was installed in 20 households over a 12-month period, with users engaging with both 2D and 3D models of their surroundings. The quantitative results, including an average System Usability Scale score of 80.5, and qualitative feedback demonstrated intense user engagement, with strong evidence of mindset shifts towards proactive maintenance behavior. The findings confirm that digital twin technologies, when combined with targeted guidance, can significantly improve appliance lifespans, energy efficiency, and user empowerment within homes.","url":"https://doi.org/10.3390/smartcities8050155","authors":["Myrto Stogia","Asimina Dimara","Christoforos Papaioannou","Orfeas Eleftheriou","Alexios Papaioannou","Stelios Krinidis","Christos‐Nikolaos Anagnostopoulos"],"tags":["Mindset","Usability","Home automation","Energy consumption","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-22","doi":"https://doi.org/10.3390/smartcities8050155","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7117162290","name":"Digital twin modelling for combat and operational environments: predicting human performance, stress and resilience","source":"europepmc","abstract":"Modern military and operational missions demand sustained performance under extreme physiological, cognitive and environmental stress. Soldiers, aviators and naval personnel experience dynamic interactions between fatigue, heat, dehydration, psychological load and injury risk, that is, conditions that evolve rapidly and are influenced by both individual and environmental factors. Despite the widespread use of wearables, physiological monitors and cognitive assessments, data remain fragmented and largely reactive. Digital twin technology is an adaptive computational model that mirrors and predicts the state of a real individual in real time and offers a transformative framework for proactive human performance and health management. Here, we outline the conceptual foundation, data architecture and operational roadmap for developing digital twins tailored to military personnel. By integrating multimodal physiological, cognitive and environmental data, digital twins could forecast performance degradation, stress injury or medical emergencies before they occur, enabling personalised countermeasures and mission-level decision support. Such systems would move defence health from observation to prediction, enhancing resilience, readiness and safety in complex operational theatres.","url":"https://doi.org/10.1136/military-2025-003196","authors":["Ruqaiyyah Siddiqui","Naveed Ahmed Khan"],"tags":["Resilience (materials science)","Risk analysis (engineering)","Cognition","Process management","Engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1136/military-2025-003196","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"oa:W4407357011","name":"The digital labour of artificial intelligence in Latin America: a comparison of Argentina, Brazil, and Venezuela","source":"openalex","abstract":"The current hype around artificial intelligence (AI) conceals the substantial human intervention underlying its development. This article lifts the veil on the precarious and low-paid ‘data workers’ who prepare data to train, test, check, and otherwise support models in the shadow of globalized AI production. We use original questionnaire and interview data collected from 220 workers in Argentina (2021–2022), 477 in Brazil (2023), and 214 in Venezuela (2021–2022). We compare them to detect common patterns and reveal the specificities of data work in Latin America, while disclosing its role in AI production. We show that data work is intertwined with economic hardship, inequalities, and informality. Despite workers’ high educational attainment, disadvantage is widespread, in ways that change across countries. By acknowledging the interconnections between AI development, data work, and globalized production, we provide insights for the regulation of AI and the future of work, aiming to achieve positive outcomes for all stakeholders.","url":"https://doi.org/10.1080/14747731.2025.2465171","authors":["Paola Tubaro","Antonio A. Casilli","Mariana Fernández Massi","Julieta Longo","Juana Torres‐Cierpe","Matheus Viana Braz"],"tags":["Latin Americans","Disadvantage","Work (physics)","Inequality","Shadow (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-19","doi":"https://doi.org/10.1080/14747731.2025.2465171","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4404692663","name":"Navigating and Overcoming Barriers to Digital Energy Transition for Carbon Neutrality in China","source":"openalex","abstract":"As China strives for carbon neutrality, the transition to digital energy systems presents both significant opportunities and formidable challenges. This study investigates the key barriers hindering this transition and the urgent need for effective strategies to address them, raising the critical research question: What are the main obstacles to digital energy adoption in China, and how can these challenges be overcome? In this study, the fuzzy AHP method has been utilized to prioritize barriers and fuzzy WASPAS to evaluate the strategies. Using fuzzy AHP, we found that stakeholder and governance barriers are the most critical, emphasizing issues like misalignment among stakeholders and governance challenges. Following this, financial constraints and technological limitations emerged as other significant barriers, highlighting the need for improved financing mechanisms and robust infrastructure. Through fuzzy WASPAS analysis, the top strategies identified are enhancing public awareness and capacity-building programs, strengthening governance and anti-corruption measures, and increasing investment in green finance. The results emphasize the importance of tackling governance and financial issues alongside technological advancements. Policy implications and recommendations are provided to guide China’s digital energy transition, with suggestions for future research focused on broader regional comparisons and the integration of emerging technologies.","url":"https://doi.org/10.3390/en17235888","authors":["Shuao Sun","Sheeraz Ahmed"],"tags":["China","Carbon neutrality","Neutrality","Energy transition","Transition (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-23","doi":"https://doi.org/10.3390/en17235888","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409648104","name":"Smart monitoring of the expansion state of boiler water walls in coal-fired power plants using a digital twin model","source":"openalex","abstract":"This article presents an approach for monitoring the expansion state of water walls in coal-fired power plants using a digital twin (DT) model. The monitored boiler belongs to a 1000 MW ultrasupercritical power generating unit; it has been in service for more than 14 years and has accumulated more than 100 000 hours of operation. The fracture of the water wall has become a serious problem for safe operation. The size of the water wall is huge, the structure is complex, the stress state is changeable, and the fracture treatment is difficult. Existing online monitoring systems are mainly based on wall temperature, and it is difficult to evaluate the stress state of the water wall. However, there are few technical systems that can monitor the expansion displacement and local strain/stress of water walls online. To address this problem, a DT model is built to monitor the expansion state of boiler water walls. An optical non-contact strain monitoring system (based on digital image correlation (DIC) technologies) coupled with finite element analysis is developed to measure the actual strain/stress data and generate more simulation data for improving the accuracy of the DT model. This monitoring system provides an effective way to prevent the expansion fracture of the water wall.","url":"https://doi.org/10.3176/proc.2025.2.12","authors":["Lijia Luo","Weida Wang","Zhiping Lei","Shiyi Bao","David Bassir","Gongfa Chen"],"tags":["Boiler (water heating)","Coal fired","Coal","Environmental science","Waste management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.3176/proc.2025.2.12","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409628481","name":"Achieving carbon-neutral economies through circular economy, digitalization, and energy transition","source":"openalex","abstract":"Decarbonization is of utmost importance to effectively address climate change, advance environmental sustainability, and protect biodiversity and ecosystems. Therefore, developed and developing economies are focusing on adopting various approaches to achieve zero carbon emissions. Thus, this study attempted to generate a meaningful relationship between the circular economy, digitalization, energy transition, and eco-friendly trade strategy to capture the role of factors that function to attain carbon neutrality. For the above-given objectives, dynamic econometric methods, such as the cross-sectional autoregressive distributed lag model (CS-ARDL), were adopted to assess the G7 dataset between 1990 and 2022. These findings suggest that the parameters under investigation are important for achieving carbon neutrality in G7 in the long term. Moreover, Panel Corrected Standard Errors (PCSe) confirmed that every aspect affects carbon neutrality. Consequently, the long-term attainment of decarbonization is greatly aided by a circular economy, digitalization, energy transformation, and green trade. Thus, significant and comprehensive policy changes are needed in several sectors, such as the development of digitization, environmental regulations, sustainable and green technology, and renewable energy sources.","url":"https://doi.org/10.1038/s41598-025-97810-w","authors":["Mingyue Zhang","Ruiqing Liu","Huijuan Sun"],"tags":["Circular economy","Transition (genetics)","Carbon fibers","Economy","Low-carbon economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1038/s41598-025-97810-w","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412893652","name":"Impact of Digital Transformation on Sustainable Development of Port Performance: Evidence from Tangshan Port","source":"openalex","abstract":"Although the importance of digital transformation in contemporary port development has been widely acknowledged, there is little empirical research on the extent to which it promotes sustainable development by reducing costs and increasing efficiency. This study takes the digital transformation of one of the largest ports in northern China—Tangshan Port—as an example, as the application of digital technologies has greatly improved its operational efficiency. By using cargo throughput and container throughput data from Tangshan Port as the experimental group and from Qinhuangdao Port as the control group, difference-in-differences regression models with monthly data and port fixed effects were adopted to clarify the impact of digital transformation on sustainability for different types of cargo throughput, as well as the differential effects of policy impact on port production efficiency and economic performance in the short and long term, in order to examine the impact of digitalization on port operation performance. Our findings demonstrate that digital transformation has a significant positive impact on both port cargo and container throughput, with the long-term effect surpassing the short-term effect. Additionally, regional economic level positively moderates policy impact. These findings provide critical evidence that ports can balance economic growth and environmental sustainability within sustainable development frameworks.","url":"https://doi.org/10.3390/su17156902","authors":["Y. D. Li","Xin Tian","Zhiyuan Lu","Junfeng Wu"],"tags":["Port (circuit theory)","Throughput","Sustainability","Sustainable development","Container (type theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-29","doi":"https://doi.org/10.3390/su17156902","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4417224688","name":"Digital Twins in Biopharmaceutical Manufacturing: Review and Perspective on Human–Machine Collaborative Intelligence","source":"openalex","abstract":"The biopharmaceutical industry is increasingly developing digital twins to digitalize and automate the manufacturing process in response to the growing market demands. However, this shift can create challenges for human operators, as the complexity and volume of information can overwhelm their ability to manage the process effectively—particularly during abnormal events. These issues are compounded when digital twins are designed without explicit consideration of operator interaction and collaboration. Our review of current trends in biopharma digital twin development reveals a predominant focus on technology and often overlooks the critical role of human operators. To bridge this gap, this article proposes a collaborative intelligence framework that integrates operators with digital twins. We discuss approaches that can enhance operator trust and human–machine interface usability. Moreover, innovative training programs for preparing operators to understand and utilize digital twins are discussed. The framework aims to strengthen collaboration between operators and digital twins by leveraging their complementary capabilities to improve resilience and productivity in biopharmaceutical manufacturing.","url":"https://doi.org/10.1016/j.eng.2026.07.039","authors":["Mohammed Aatif Shahab","Francesco Destro","Richard D. Braatz"],"tags":["Knowledge management","Process (computing)","Perspective (graphical)","Computer science","Productivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.1016/j.eng.2026.07.039","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4281896427","name":"The Metaverse as a Virtual Form of Data-Driven Smart Urbanism: On Post-Pandemic Governance through the Prism of the Logic of Surveillance Capitalism","source":"openalex","abstract":"The Metaverse, as a gigantic ecosystem application enabled mainly by Artificial Intelligence (AI), the IoT, Big Data, and Extended Reality (XR) technologies, represents an idea of a hypothetical \"parallel virtual environment\" that incarnates ways of living in virtually inhabitable cities. It is increasingly seen as a transition from smart cities to virtual cities and a new target for city governments to attain “new” goals. However, the Metaverse project was launched amid the COVID-19 pandemic, a crisis purported to be a rare opportunity that should be seized to reset and reimagine the world—though mainly in regard to its digital incarnation, and what this entails in terms of both cementing and normalizing the corporate-led, top-down, technocratic, tech-mediated, algorithmic mode of governance, as well as new forms of controlling ways of living in urban society. The “new normal” has already set the stage for undemocratically resetting and unilaterally reimagining the world, resulting in an abrupt large-scale digital transformation of urban society, a process of digitization and digitalization that is in turn paving the way for a new era of merging virtuality and urbanity. This has raised serious concerns over the risks and impacts of the surveillance technologies that have been rapidly and massively deployed in the wake of the COVID-19 pandemic. These concerns also relate to the global architecture of the computer mediation of the Metaverse upon which the logic of surveillance capitalism depends, and which is constituted by control and commodification mechanisms that seek to monitor, predict, control, and trade the behavior of human users, as well as to exile them from their own. This viewpoint paper explores and questions the Metaverse from the prism of the social and economic logic of surveillance capitalism, focusing on how and why the practices of the post-pandemic governance of urban society are bound to be undemocratic and unethical. The novelty of the viewpoint lies in providing new insights into understanding the dark side of the ostensible fancier successor of the Internet of today, thereby its value and contribution to the ongoing scholarly debates in the field of Science, Technology, and Society (STS). In addition, by shedding light on the emergence of the Metaverse as a computing platform, the viewpoint seeks to help policymakers understand and assess the ramifications of its wide adoption, as well as to help users make informed decisions about its usage in everyday activity—if it actualizes.","url":"https://doi.org/10.3390/smartcities5020037","authors":["Simon Elias Bibri","Zaheer Allam"],"tags":["Metaverse","Technocracy","Corporate governance","Bricolage","Capitalism"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-31","doi":"https://doi.org/10.3390/smartcities5020037","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7127653589","name":"From Population-Based PBPK to Individualized Virtual Twins: Clinical Validation and Applications in Medicine","source":"openalex","abstract":"Physiologically based pharmacokinetic (PBPK) models are widely used in the context of personalized medicine, as they allow for the evaluation of dosing schedules and routes of administration by predicting absorption, distribution, metabolism and excretion (ADME) of drugs in biological systems. Traditionally, PBPK models have been developed and applied at the population level, enabling the characterization of predefined cohorts, which remains limited in supporting true precision dosing. In this review, we explored the increasingly common shift from population-based to individual PBPK modelling, where individuals are modelled as virtual twins (VTs). Through the inclusion of additional patient-specific data, such as demographic, physiological, phenotypic and genotypic information, models can be personalized, moving beyond traditional one-size-fits-all strategies. Overall, incorporating individual patient data (e.g., septic, psychiatric, cardiac, or neonatal populations) improves model performance. Physiological parameters, particularly renal function, show strong potential given their role in drug elimination, while demographic variables enhance predictive accuracy in certain studies. In contrast, the benefits of including cytochrome P450 (CYP) phenotypic and genotypic data remain inconsistent. We further emphasize methodologies used to evaluate model performance, with a focus on clinical validation through comparisons between predicted and observed concentration-time profiles. Key challenges, including limited sample sizes and data availability, that may compromise predictive precision, are also discussed. Finally, we highlight the potential integration of PBPK-based VTs into broader digital twin frameworks as a promising path toward clinical translation, while acknowledging the critical barriers that must be addressed to enable routine clinical implementation.","url":"https://doi.org/10.3390/jcm15031210","authors":["Marta Gonçalves","Pedro A. Barata","Nuno Vale"],"tags":["Physiologically based pharmacokinetic modelling","Medicine","Context (archaeology)","Personalized medicine","Virtual patient"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-04","doi":"https://doi.org/10.3390/jcm15031210","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7128407306","name":"Real-time digital twin prototype for cyber-physical analysis of anomalies in PV–PEM–BESS systems for green hydrogen production","source":"openalex","abstract":"The deployment of hybrid green hydrogen systems faces challenges due to complex integration and exposure to cyber threats. The lack of secure testbeds to replicate severe anomalies limits the analysis of fault propagation without endangering physical assets. Consequently, it is necessary to develop a testbed to replicate anomalies in the operation of a green hydrogen generation system to facilitate its physical implementation. This article presents the development of a real-time Digital Twin Prototype (DTP) testbed for green hydrogen production systems integrating photovoltaic (PV) generation, a proton exchange membrane water electrolyzer (PEMWE), and a battery energy storage system (BESS), structured with a DC bus and a supercapacitor. The platform is implemented using Hardware In the Loop (HIL) to emulate system dynamics, enabling the safe testing of cyber-physical anomalies such as False Data Injection Attacks (FDIA) and DC bus short circuits. Historical weather data, including irradiance and temperature from a real-site weather station, are streamed to the HIL-based model via User Datagram Protocol (UDP) communication, replicating realistic operating conditions. A cost-effective real-time monitoring architecture is established using a low-cost Single Board Computer (SBC), with data logged in InfluxDB and visualized through Grafana. Results are analysed through flowcharts depicting failure propagation, offering insights into system resilience and control performance. The testbed facilitates the validation of anomaly detection techniques and Energy Management Systems (EMS), while minimizing the need for physical prototyping. This approach enhances operational safety and accelerates development efficiency in renewable hydrogen infrastructures.","url":"https://doi.org/10.1016/j.segan.2026.102152","authors":["Pablo José Hueros-Barrios","Jorge Espolio-Maestro","Sergio Rodríguez-Carrasco","Carlos Santos-Pérez","Francisco Javier Rodríguez-Sánchez","Pedro Martín Sánchez","Miguel Tradacete-Ágreda","Frede Blaabjerg"],"tags":["Testbed","Photovoltaic system","Embedded system","Software deployment","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-07","doi":"https://doi.org/10.1016/j.segan.2026.102152","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4410597221","name":"Rewiring Sustainability: How Digital Transformation and Fintech Innovation Reshape Environmental Trajectories in the Industry 4.0 Era","source":"openalex","abstract":"This study investigates the long-run impact of digital transformation and fintech innovation on environmental sustainability across OECD countries from 1999 to 2024. Drawing on a novel empirical framework that integrates panel fully modified ordinary least squares, the system-generalized method of moments, and machine learning estimators, the analysis captures both linear and nonlinear dynamics while addressing heterogeneity, endogeneity, and structural complexity. Environmental sustainability is measured by per capita CO2 emissions, while digital transformation and fintech innovation are proxied by secure internet servers and G06Q patent applications, respectively. The findings reveal that both digital infrastructure maturity and fintech-driven innovation significantly reduce carbon emissions, suggesting that technologically advanced digital ecosystems serve as effective instruments for climate mitigation. Robustness checks via the system-generalized method of moments confirm the stability of these relationships, while machine learning models—Random Forest and XGBoost—highlight digital variables as top predictors of emissions reduction. The convergence of results across estimation methods underscores the reliability of the digital–environmental nexus. Policy implications emphasize the need to embed sustainability metrics into digital strategies, promote green fintech regulation, and prepare labor markets for Industry 4.0 transitions. These findings position digital and fintech innovation not merely as enablers of economic growth, but as structural levers for achieving environmentally sustainable development in high-income economies.","url":"https://doi.org/10.3390/systems13060400","authors":["Zhuoqi Teng","Han Xia","Yugang He"],"tags":["Sustainability","Digital transformation","Transformation (genetics)","Industry 4.0","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-22","doi":"https://doi.org/10.3390/systems13060400","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7163816902","name":"Digital Twins as catalysts for Whole Person Health Mind Body Medicine in Integrative Oncology","source":"europepmc","abstract":"Artificial intelligence and digital health technologies are reshaping oncology through increasingly personalized, predictive, and data-driven care. Among these innovations, medical Digital Twins - dynamic virtual software representations of individual patients - are emerging as tools for simulating disease trajectories, forecasting treatment responses, and supporting clinical decision-making. To date, most oncology focused Digital Twin research centers on tumor biology, imaging, genomics, radiotherapy optimization, and treatment response. Integrative Oncology requires a broader perspective. As a patient-centered field that emphasizes Whole Person Health across prevention, treatment, rehabilitation, survivorship, and long-term health promotion, Integrative Oncology depends on biological, behavioral, psychosocial, environmental, and lifestyle-related data that remain underrepresented in digital health infrastructures. This paper argues that Digital Twins could advance Whole Person Health in Integrative Oncology if they are designed to integrate not only disease- and treatment-related data but also key domains of Mind Body Medicine, including physical activity, diet, sleep, stress regulation, self-care, social and other relationships, living conditions, and personal preferences. Drawing on a SWOT analysis and a Whole Person Health Mind Body Medicine model, the paper identifies strengths and opportunities, including personalization, longitudinal monitoring, treatment coordination, and adaptive self-care support. It also highlights challenges related to data quality, interoperability, digital literacy, privacy, autonomy, equity, and reductionist interpretations of health. The central challenge is therefore not only technological but preparatory. Integrative Oncology must actively contribute to interoperable data standards, ethical governance, clinical validation, and interdisciplinary collaboration to ensure that future Digital Twins support, rather than marginalize, whole person, human-centered cancer care.","url":"https://doi.org/10.3389/fonc.2026.1868314","authors":["Claudia M. Witt"],"tags":["Digital health","Reductionism","Oncology","Medicine","Integrative medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.3389/fonc.2026.1868314","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"oa:W7138929100","name":"Remaining Life Prediction of Power Modules With Digital Twin and Multisource Data Fusion","source":"openalex","abstract":"Intelligent power module (IPM) is a critical component of a power conversion system, and accurately predicting the lifetime of the key internal component, the insulated gate bipolar transistor (IGBT), is critical to the safe operation of the system. However, numerous challenges, such as monitoring difference of the internal state, variable degradation processes, and diverse field strengths, make it difficult to predict the IGBT lifetime accurately. Therefore, this paper proposes a remaining useful life (RUL) prediction method based on multi-source data fusion under limited information conditions. A prediction model combining Position Attention Module (PAM) and Long Short-Term Memory Network (LSTM) is designed to accommodate the large variability of the degradation process to enhance the ability to capture the spatio-temporal dependence of degradation features. In addition, to address the difficulty of internal state monitoring and the diversity of operating field strengths, this study constructs a Digital Twin (DT) model of the intelligent power module based on Finite Element Analysis (FEA) to comprehensively analyze the internal state of the device and provide accurate data support for RUL prediction. Meanwhile, to tackle the problems of insufficient health indicators, incomplete failure information, and end-of-life (EOL) fluctuation, a multi-indicator double-layer determination mechanism is proposed to improve the accuracy of the predicted EOL. Eventually, the prediction of the RUL of intelligent power module is achieved under limited observation information. The proposed method is experimentally verified on a 10 A/1200 V IPM from STMicroelectronics with accurate prediction results, and its superiority is further proved by comparing it with other methods.","url":"https://doi.org/10.1109/tpel.2026.3675186","authors":["Qian Xia","Chang Lü","Yuluo Hou","Chenhao Wu","Zhexin Cui","Waseem Abbas","Hiu Hung Lee","Jiguang Yue","Feng Lyu","Md Rishad Ahmed"],"tags":["Insulated-gate bipolar transistor","Field (mathematics)","Sensor fusion","Power (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-18","doi":"https://doi.org/10.1109/tpel.2026.3675186","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7125928260","name":"Multi-Scale Digital Twin Framework with Physics-Informed Neural Networks for Real-Time Optimization and Predictive Control of Amine-Based Carbon Capture: Development, Experimental Validation, and Techno-Economic Assessment","source":"openalex","abstract":"Carbon capture and storage (CCS) is essential for achieving net-zero emissions, yet amine-based capture systems face significant challenges including high energy penalties (20–30% of power plant output) and operational costs ($50–120/tonne CO2). This study develops and validates a novel multi-scale Digital Twin (DT) framework integrating Physics-Informed Neural Networks (PINNs) to address these challenges through real-time optimization. The framework combines molecular dynamics, process simulation, computational fluid dynamics, and deep learning to enable real-time predictive control. A key innovation is the sequential training algorithm with domain decomposition, specifically designed to handle the nonlinear transport equations governing CO2 absorption with enhanced convergence properties. The algorithm achieves prediction errors below 1% for key process variables (R2 > 0.98) when validated against CFD simulations across 500 test cases. Experimental validation against pilot-scale absorber data (12 m packing, 30 wt% MEA) confirms good agreement with measured profiles, including temperature (RMSE = 1.2 K), CO2 loading (RMSE = 0.015 mol/mol), and capture efficiency (RMSE = 0.6%). The trained surrogate enables computational speedups of up to four orders of magnitude, supporting real-time inference with response times below 100 ms suitable for closed-loop control. Under the conditions studied, the framework demonstrates reboiler duty reductions of 18.5% and operational cost reductions of approximately 31%. Sensitivity analysis identifies liquid-to-gas ratio and MEA concentration as the most influential parameters, with mechanistic explanations linking these to mass transfer enhancement and reaction kinetics. Techno-economic assessment indicates favorable investment metrics, though results depend on site-specific factors. The framework architecture is designed for extensibility to alternative solvent systems, with future work planned for industrial-scale validation and uncertainty quantification through Bayesian approaches.","url":"https://doi.org/10.3390/pr14030462","authors":["Mansour Almuwallad"],"tags":["Computer science","Model predictive control","Artificial neural network","Process (computing)","Sensitivity (control systems)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/pr14030462","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7125392822","name":"Empowering the pharmaceutical workforce for the digital future","source":"openalex","abstract":"The pharmaceutical industry is undergoing a rapid digital transformation. These changes are reshaping drug substance and drug product development and manufacturing, creating both opportunities and challenges that span pharmaceutical sciences, data science, and automation engineering. However, significant skills gaps persist, limiting the sector's ability to fully leverage digital technologies and sustain innovation. This paper explores the shifting digital and data science skills needs within the pharmaceutical industry, with a focus on industrial pharmacy and pharmaceutical sciences in the UK and Europe. We examine the key technological transformations reshaping the sector, the evolution of job roles, and the attributes required of the future workforce. Building on these insights, we propose an integrated approach to skills development that spans the entire career lifecycle - from embedding digital competencies in higher education to supporting lifelong learning through flexible, industry-aligned continuing professional development. Addressing these skills gaps requires coordinated action from academia, industry, and policymakers. By fostering a collaborative, interdisciplinary, and adaptive learning ecosystem, the pharmaceutical sector can equip its workforce to thrive in a rapidly changing landscape and continue improving global health and wellbeing.","url":"https://doi.org/10.1016/j.ejps.2026.107449","authors":["Natalie Maclean","Susanna Abrahmsén‐Alami","Catriona Clark","Frederik Dörr","Alastair J. Florence","Jarkko Ketolainen","Morten Lindow","Jérôme Mantanus","Jukka Rantanen","Gavin Reynolds","Amy Robertson","Daniel Markl"],"tags":["Workforce","Workforce development","Leverage (statistics)","Business","Pharmacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-21","doi":"https://doi.org/10.1016/j.ejps.2026.107449","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411611664","name":"Literature review of integrating sustainability and digital innovation in waterway transport and maritime logistics","source":"openalex","abstract":"Modern waterway transport and maritime logistics industries are being transformed through sustainable practices combined with digital innovation which leads to better operational efficiency along with decreased environmental effects. Green technology adoption requires support from regulatory frameworks and financial incentives to meet emission reduction standards and promote investments in alternative fuels and energy-efficient solutions. IoT-enabled cargo tracking alongside blockchain supply chain transparency and AI predictive maintenance systems improve operational dependability through better resource management. Sustainable practices, including energy-efficient vessel design, route optimization, and shore power integration, contribute to lower fuel consumption and emissions. Smart ports and automated terminals streamline cargo handling, reducing energy use and improving supply chain efficiency. This study examines the relationship between regulatory policies, digital enablers, and sustainability strategies, demonstrating their collective impact on creating a more efficient and environmentally responsible maritime sector. This systematic review examines the intersection of sustainability and digital innovation in waterway transport and maritime logistics. Studies were sourced from Scopus, Web of Science, IEEE Xplore, ScienceDirect, and JSTOR, covering literature on supply chain efficiency, green technology, maritime logistics, inland waterway transport and digital transformation. A total of 52 studies met the inclusion criteria, focusing on regulatory policies, blockchain-enabled transparency, AI-driven predictive maintenance, and sustainable maritime and inland waterway operations. Findings highlight that digitalization enhances environmental sustainability while improving logistical efficiency. Future research should explore policy frameworks that encourage eco-digital maritime ecosystems. This study adheres to PRISMA 2020 guidelines to ensure transparency and rigor.","url":"https://doi.org/10.5937/jaes0-57039","authors":["Stefan Ugrinov","Dragan Ćoćkalo","Mihalj Bakator","Sanja Stanisavljev"],"tags":["Sustainability","Business","Transport engineering","Engineering","Ecology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.5937/jaes0-57039","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7114905033","name":"Twin Threats in Digital Workplace: Technostress and Work Intensification in a Dual-Path Moderated Mediation Model of Employee Health","source":"openalex","abstract":"This study investigates how technostress and work intensification jointly influence employee health harm through two distinct stressor-strain pathways within Pakistan's manufacturing sector. The proposed model specifies two mechanisms, (1) technostress induces IT strain that contributes to health harm, moderated by user satisfaction; and (2) work intensification heightens emotional exhaustion that similarly leads to health harm, moderated by perceived organizational support. Grounded in Conservation of Resources (COR) theory, the framework explains how cumulative digital and organizational demands deplete employee resources, amplifying both psychological and physical harm. A cross-sectional quantitative design was employed, utilizing a structured self-administered questionnaire administered to mid and senior-level employees across manufacturing firms. A total of 252 valid responses were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart PLS 4. Results revealed that both IT strain and emotional exhaustion significantly mediated the effects of technostress and work intensification, respectively, on health harm. Moreover, user satisfaction significantly moderated the IT strain-health harm relationship, indicating that higher satisfaction with digital tools mitigates the adverse impact of technological stress. Similarly, organizational support weakened the association between emotional exhaustion and health harm, underscoring its protective role in high-pressure work settings. This study offers theoretical advancement by integrating fragmented stressor-strain models and offers practical recommendations to foster digital well-being and supportive organizational work cultures in evolving industrial contexts.","url":"https://doi.org/10.3390/ijerph22121856","authors":["Muhammad Jawwad Nasir Malik","Mubashar Ali","Asad Malik","Shamir Malik"],"tags":["Technostress","Psychology","Moderated mediation","Harm","Mediation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-12","doi":"https://doi.org/10.3390/ijerph22121856","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7140405207","name":"D2M (design-to-manufacturing) by integrating digital twins and large language models: conceptual framework","source":"openalex","abstract":"The rapid growth of digital technologies and artificial intelligence has made digital twins (DTs) and large language models (LLMs) core tools in smart manufacturing. This paper presents a review of DT-LLM integration in manufacturing systems. The review examines key technologies, methods, and application of DT-LLM in the manufacturing industry. The analysis of the reviewed paper identifies promising research area that bridge customised and even personalised demands with flexible production systems. Inspired by this, a novel concept termed Design-to-Manufacturing (D2M) is introduced. Furthermore, a conceptual DT-LLM-enabled D2M framework is proposed to demonstrate how the integration of DT and LLM can revolutionise the traditional design-to-manufacturing process. This framework incorporates digital twin data, generative design, human-AI augmented decision-making, and flexible human-robot collaborative manufacturing system. This paper offers valuable insights into a new manufacturing paradigm designed to meet the rising demand for personalised products.","url":"https://doi.org/10.1080/27525783.2026.2645373","authors":["Zimo Zhang","Juntao Li","Junyan Xiong","D. Y. K. Tang","Qingyang Wang","Dai Guo"],"tags":["Computer science","Conceptual framework","Natural language processing","Artificial intelligence","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-26","doi":"https://doi.org/10.1080/27525783.2026.2645373","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4417198715","name":"Digital Twin-Enabled Distributed Robust Scheduling for Park-Level Integrated Energy Systems","source":"openalex","abstract":"With the deepening of multi-energy coupling and the integration of high proportions of renewable energy, the Park Integrated Energy System (PIES) 1demonstrates enhanced energy utilization flexibility. However, the random fluctuations in photovoltaic (PV) output also pose new challenges for system dispatch. Existing distributed robust scheduling approaches largely rely on offline predictive models and therefore lack dynamic correction mechanisms that incorporate real-time operational data. Moreover, the initial probability distribution of PV output is often difficult to obtain accurately, which further degrades scheduling performance. To address these limitations, this paper develops a PV digital twin model capable of providing more accurate and continuously updated initial probability distributions of PV output for distributed robust scheduling in PIESs. Building upon this foundation, this paper proposes a distributed robust scheduling method for the PIES based on digital twins. This approach aims to maximize the flexibility of energy utilization in PIESs and overcome the challenges posed by random fluctuations in PV output to PIES operational scheduling. First, a PIES model is established after investigating a park-level practical integrated energy system. To describe the uncertainty of PV output, a PV digital twin model that incorporates historical data and temporal features is developed. The long short-term memory (LSTM) neural network is employed for output prediction, and real-time data are integrated for dynamic correction. On this basis, error perturbations are introduced, and PV scenario generation and reduction are carried out using Latin hypercube sampling and k-means clustering. To achieve multi-energy cascade utilization, the objective of optimization is defined as the minimization of the sum of system operating cost and curtailment cost. To this end, a two-stage distributed robust optimization model is constructed. The optimal scheduling scheme was obtained by solving the problem using the column-and-constraint generation (CCG) algorithm. The proposed method was finally validated through a case study involving an actual industrial park. The findings indicate that the constructed digital twin model achieves a significant improvement in prediction accuracy compared to traditional models, with the root mean square error and mean absolute error reduced by 13.3% and 10.81%, respectively. Furthermore, the proposed distributed robust scheduling strategy significantly enhances the operational economics of PIESs while maintaining system robustness, compared to conventional methods, thereby demonstrating its practical application value in PIES scheduling.","url":"https://doi.org/10.3390/en18246471","authors":["Xiao Chang","Shengwen Li","Qiang Wang","Liang Ji","Bo Huang"],"tags":["Computer science","Scheduling (production processes)","Photovoltaic system","Latin hypercube sampling","Distributed generation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-10","doi":"https://doi.org/10.3390/en18246471","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4407372557","name":"Digital restoration of ancient loom: evaluation of the digital restoration process and display effect of Yunjin Dahualou Loom","source":"openalex","abstract":"The Yunjin Dahualou Loom is a precious artifact of China’s cultural heritage, with its production and weaving techniques recognized as invaluable intangible cultural heritage. This paper presents a digital restoration of the Yunjin Dahualou Loom, utilizing digital technology to preserve and inherit textile artifacts while addressing challenges such as the difficulty in the long-term preservation of wooden structures and the lengthy cycles involved in traditional restoration processes. Initially, field research was conducted to gather detailed information regarding the loom’s dimensions, structure, materials, manufacturing principles, and weaving techniques. Using AutoCAD software, the overall structure and weaving principles of the Yunjin Dahualou Loom were systematically organized and visually mapped. Next, Autodesk 3ds Max software was employed to digitally restore and assemble the loom’s various components, while also reconstructing its manufacturing and weaving principles in a digital environment. VRay software was then used to generate materials for the loom and render the scene in high fidelity. Finally, a combined approach using the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation is employed to assess the quality of digital restoration. The AHP is used to calculate weight coefficients, which are then verified through consistency checks. These weights are combined with data collected from fuzzy comprehensive evaluation to assess the digital restoration results. Finally, based on the principle of maximum membership degree, the digital restoration of the Yunjin Dahualou Loom is rated as “very good.” These findings demonstrate that the proposed method effectively reconstructs the loom’s form, structure, and weaving principles, completing its digital restoration. This approach provides a novel and relatively comprehensive method for the dynamic protection of cultural heritage and intangible cultural heritage.","url":"https://doi.org/10.1038/s40494-025-01591-4","authors":["Hongyu Li","Jinyu Zhang","Weili Peng","X.C. Tian","Jin Shi"],"tags":["LOOM","Process (computing)","Computer science","Artificial intelligence","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-11","doi":"https://doi.org/10.1038/s40494-025-01591-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410571248","name":"Digital Transformation in Agricultural Supply Chains Enhances Green Productivity: Evidence From Provincial Data in China","source":"openalex","abstract":"Abstract As global agricultural systems strive to achieve a balance between productivity and sustainability, digital technologies are increasingly recognized for their transformational potential in optimizing supply chain processes. However, the empirical understanding of how digitalization affects green agricultural productivity, especially in developing economies, remains limited. This study explores the influence of digital transformation on green productivity in China's agriculture based on provincial data from 2011 to 2023. The findings reveal that digitalization significantly enhances green productivity, with the consumption stage exerting the greatest effect. Moreover, digital agricultural solutions reduce crop disaster rates, thereby improving resilience and further driving green productivity. These results emphasize the critical role of digitalization in fostering sustainable agricultural practices.","url":"https://doi.org/10.1029/2025ef006089","authors":["Haiyan Yu","Wuniu Qubi","Juan Luo"],"tags":["China","Productivity","Transformation (genetics)","Agriculture","Agricultural economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1029/2025ef006089","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7161641536","name":"AI-Enhanced Digital Twin Augmented Reality System for Precision Cranial Trauma Reconstruction.","source":"openalex","abstract":"The process of reconstructing cranial trauma requires precise medical work because it needs multiple medical disciplines to work together while using special visual technology. The study introduces an AI-powered Digital Twin Augmented Reality system which enhances surgical planning and intraoperative support and creates personalized reconstruction results. The system creates a dynamic digital twin model of cranial structures by combining patient imaging data which includes CT and MRI scans. The system uses artificial intelligence algorithms to study anatomical differences which help determine the best reconstruction methods and create implant designs. The augmented reality component enables real-time visualization of the digital twin overlaid onto the patient’s anatomy which improves spatial understanding and surgical performance. The system uses artificial intelligence analytics together with augmented reality visualization to achieve accurate alignment while it minimizes uncertainty during surgery and protects against potential complications. Surgeons use the platform's preoperative simulation tools to practice their surgical procedures by testing various reconstruction techniques before actual surgery begins. The experimental results prove that the new method improves accuracy for defect reconstruction while reducing surgical time and enhancing decision-making processes when compared to existing methods. The system uses digital twin technology to provide continuous system updates which operate based on feedback received during surgical procedures thus creating a surgical environment that responds to changes and develops through time. The research demonstrates how artificial intelligence, digital twin modeling and augmented reality technology combine to create advancements in precision medicine for cranial trauma treatment. The system delivers an expandable and cuttingedge solution which will enhance clinical results while streamlining surgical processes and advancing the field of personalized reconstructive surgery","url":"https://doi.org/10.25258/ijddt.16.28s.96","authors":["Soobia Saeed","Mohsin Qadeer","Noor Malik","Izaz Riaz","Christopher McGinley","Halah Khadija Shah","Muhammad Riaz"],"tags":["Augmented reality","Visualization","Computer science","Surgical planning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-18","doi":"https://doi.org/10.25258/ijddt.16.28s.96","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413441998","name":"Exploring the Role of Digital Twin Technology in Enhancing Supply Chain Resilience: A Conceptual Framework","source":"openalex","abstract":"This study explores to development of a comprehensive conceptual framework that integrates technological enablers, operational processes, and resilience outcomes, providing insights into how DTs can address disruptions and improve supply chain performance. The study adopts a conceptual approach, synthesising insights from extensive literature, theoretical underpinnings, and expert input. Key dimensions of the framework—inputs, processes, and outcomes—were identified and structured to illustrate the dynamic relationships between DT technology and resilience. The framework is supported by socio-technical systems theory, the Resource-Based View, and complexity theory to contextualise the interactions between technology and supply chain dynamics. The proposed framework identifies critical enablers, such as IoT, AI, and simulation tools, and links them to key supply chain processes, including real-time monitoring, risk assessment, and scenario planning. These processes enhance resilience dimensions, such as responsiveness, flexibility, and risk mitigation. The study highlights the transformative potential of DTs in improving visibility and decision-making within supply chains. This research fills a significant gap in the existing literature by providing an integrated framework that connects DT technology with supply chain resilience strategies. Supply chain practitioners can leverage this framework to systematically implement DT technology, improving real-time visibility and preparing for potential disruptions through advanced risk assessment and scenario planning.","url":"https://doi.org/10.22610/imbr.v17i2(i)s.4619","authors":["Jivaranee Nagarathnam","Muruga Chinniah","Umahdevi Jayamani","Irwan Ibrahim","N. Sureshkumar PP Narayanan","Veera Pandiyan Kaliani Sundram"],"tags":["Resilience (materials science)","Supply chain","Conceptual framework","Business","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-11","doi":"https://doi.org/10.22610/imbr.v17i2(i)s.4619","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7166810416","name":"TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation","source":"openalex","abstract":"Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu. Findings of the Association for Computational Linguistics: ACL 2026. 2026.","url":"https://doi.org/10.18653/v1/2026.findings-acl.981","authors":["Bangde Du","Minghao Guo","Songming He","Ziyi Ye","Xi Zhu","Weihang Su","Shuqi Zhu","Yujia Zhou","Yongfeng Zhang","Qingyao Ai","Yiqun Liu"],"tags":["Computer science","Benchmark (surveying)","Artificial intelligence","Persona","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.18653/v1/2026.findings-acl.981","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7108327349","name":"Development of a didactic solution for teaching concepts related to Digital Twins using Educational Robot","source":"openalex","abstract":"Engineering education faces ongoing challenges in keeping pace with the technological demands driven by the need to apply Industry 4.0 concepts in student training. In response to this, the present study introduces the development of a pedagogical tool built around an educational robot produced through 3D printing. The aim is to integrate active learning methodologies with key Industry 4.0 technologies, such as Digital Twins, asset administration shells, and computational simulation, to create a practical and dynamic learning environment. This hands-on approach was implemented in a graduate-level course on Advanced manufacturing engineering, specifically in the Process simulation module. The activity involved the use of the robot alongside a real-time, bidirectional computational model capable of reading and writing data, applying the Digital Twin concept. The study followed a mixed-method action research design. Results from a student feedback survey revealed that 100% of participants agreed the experience with the computational robot helped solidify theoretical concepts. Furthermore, 77.3% gave the learning experience the highest possible rating, and 95.5% recognized the robot’s potential for use in other modules and courses. These findings suggest that this approach offers an effective strategy for engineering education that is aligned with the principles of Industry 4.0.","url":"https://doi.org/10.24867/ijiem-398","authors":["Vitoria de Melo Freires","Atila Lucas","Roberto Higino Pereira Silva","Ely Almeida"],"tags":["Pace","Process (computing)","Robot","Asset (computer security)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.24867/ijiem-398","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414139453","name":"IMPACT OF ADVANCED LUBRICATION MANAGEMENT SYSTEMS ON EQUIPMENT LONGEVITY AND OPERATIONAL EFFICIENCY IN SMART MANUFACTURING ENVIRONMENTS","source":"openalex","abstract":"Smart manufacturing depends on stable tribological interfaces. This systematic review synthesizes how Advanced Lubrication Management Systems (ALMS) affect equipment longevity and operational efficiency by integrating online oil and film-state sensing, automated dosing and filtration, contamination control, and connections to CMMS, MES, and digital twins. Following PRISMA 2020, we searched databases for records from 2010 to 2025, screened against predefined criteria, and appraised quality. In total, 115 studies met inclusion and we extracted outcomes for reliability, efficiency, energy, and fluids. Across 64 reliability-reporting papers, median gains were notable: mean time between failures increased by 19 percent and failure or hazard rates declined by 23 percent, underpinned by typical two-step improvements in ISO 4406 cleanliness codes and 35 percent lower moisture. Operational performance improved across 74 studies: Overall Equipment Effectiveness rose by 5.6 points, driven by availability (+3.4), with additional gains in performance (+1.7) and quality (+0.5); unplanned downtime fell by 27 percent and mean time to repair by 14 percent. Energy intensity decreased by 8.5 percent and by 12 percent in dip or splash-lubricated gearboxes; lubricant consumption fell by 22 percent and drain intervals extended by 35 percent. Economic reporting indicated a 13 month payback and first-year return of 86 percent. Moderator analyses show larger, steadier effects when ALMS are closed-loop and digitally integrated, when cleanliness and moisture targets are sustained, and when oil-state sensing is paired with contact-level regime detection. Findings position lubrication as a governed, data-driven control problem that advances reliability, throughput, energy efficiency, and sustainability in smart manufacturing.","url":"https://doi.org/10.63125/r0n6bc88","authors":["Zobayer Eusufzai"],"tags":["Lubrication","Payback period","Sustainability","Operations management","Downtime"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.63125/r0n6bc88","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4408506420","name":"ATTD 2025 Amsterdam & Online—19–22 March and ATTD-ASIA 2024 Singapore—18–20 November","source":"openalex","abstract":"Background and Aims: The DiaGame project develops and tests a new concept to empower patients with diabetes in their self-management. We combine real world data with advanced computational algorithms and models and serious gaming. Methods: Data has been collected in daily-life settings in sixty participants (52 type 2 diabetes, 8 type 1 diabetes) using a continuous glucose monitor, smartwatch with in-house software, and public smartphone application acquiring data on blood glucose levels, heart rate, step count, acceleration, participant-reported dietary intake, physical activity, insulin dosing, and mood. We develop and validate a physiology-based mathematical model of the glucose-insulin system to describe and predict glycemic dynamics. This model simulates glucose and insulin concentrations following a mixed meal or OGTT and has previously been validated. Results: The model has been successfully extended to describe the subcutaneous absorption of various insulin analogues, which is important for patients using insulin (type 1 diabetes and type 2 diabetes with intensive insulin therapy). The model accurately captures patient-specific glycemic dynamics of people with T1D. To realize personalized models for T2D patients it is important to consider residual insulin production capacity. By analyzing and comparing personalized models the independent and coherent effects of various lifestyle factors on glycemic dynamics are elucidated. Conclusions: Patient digital twins are developed by updating personalized prediction models with patient-gathered, real world data. Ultimately, these digital twins will be employed to aid self-management education through a personalized interactive serious game. A prototype of this game is currently being evaluated by patients and caregivers.","url":"https://doi.org/10.1089/dia.2024.78502.abstracts","authors":["de Vries, Ryan","Reinders, Edouard","Cruts, Elma","Wouters-van Poppel, Pleun C.M.","Van Gorp, Pieter; id_orcid 0000-0001-5197-3986","Hilbers, Peter A.J.","Kaymak, Uzay; id_orcid 0000-0002-4500-9098","Haak, Harm R.","van Riel, Natal A.W.; id_orcid 0000-0001-9375-4730"],"tags":["Medicine","Diabetes mellitus","Family medicine","Gerontology","Endocrinology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.1089/dia.2024.78502.abstracts","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413928935","name":"From Data to Cultural Response: A Machine Learning–Driven Digital Twin Model for Smart Heritage Precincts in Urban Context","source":"openalex","abstract":"In the context of Smart Cities, Smart Heritage has emerged as a forward-oriented strategy aimed at enhancing the construction, management, accessibility, and sustainability of culturally significant environments. Yet, within Smart Heritage discourse, the distinction between basic digital representations and truly responsive, sensor-informed systems remains underdeveloped. This study addresses this gap by proposing a machine learning–enhanced digital twin simulation framework that enables both real-time and anticipatory heritage interventions. Using Chinatown Melbourne as an urban heritage case study, five open-access urban datasets, pedestrian counting, on-street parking, microclimate conditions, dwelling functionality, and Microlab sensor data (CO₂, sound level, and accelerometer), were evaluated, with three integrated into a pilot simulation model. A key contribution is the inclusion of a conceptual ‘Heritage Layer’ that overlays cultural significance and symbolic meaning across all stages of system logic and design response. The model also incorporates a dedicated machine learning layer, trained on full-year 2024 sensor data, to forecast environmental and behavioural triggers such as crowd build-up. This predictive capability enables the system to shift from reactive monitoring to proactive design interventions aligned with cultural rhythms. A December 2024 simulation validated the frequency and relevance of trigger-based activations. Rather than relying on platform-specific code, the framework is designed for adaptability across construction informatics environments and heritage precincts globally. Findings demonstrate how Smart Heritage systems can bridge environmental sensing, cultural identity, and post-construction evaluation, offering a scalable methodology for digitally responsive, culturally attuned urban heritage management.","url":"https://doi.org/10.36680/j.itcon.2025.053","authors":["Shiran Geng","Se Yan","Hing-Wah Chau","Elmira Jamei","Zora Vrcelj"],"tags":["Context (archaeology)","Cultural heritage","Computer science","Data science","Smart city"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-02","doi":"https://doi.org/10.36680/j.itcon.2025.053","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413849457","name":"Telesurgery across continents: a scoping review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11701-025-02694-7","authors":["Sidharth Misra","Zainab Yusufali Motiwala","Fatima Nadeem","Shruti Anchule","Apoorva Sanjay Lathkar","Avanti Barapatre","Sneha Bhingardive","Subhankita Kar","Saloni Sanjay Lathkar","Danny Darlington Carbin"],"tags":["Medicine","Data science","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-30","doi":"https://doi.org/10.1007/s11701-025-02694-7","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409406920","name":"AI-POWERED PERSONALIZATION IN DIGITAL BANKING: A REVIEW OF CUSTOMER BEHAVIOR ANALYTICS AND ENGAGEMENT","source":"openalex","abstract":"The rapid evolution of digital banking has prompted financial institutions to integrate artificial intelligence (AI) technologies to deliver highly personalized and engaging customer experiences. As customer expectations grow increasingly dynamic, AI-powered personalization has emerged as a strategic imperative, enabling banks to tailor services in real time based on individual behaviors, preferences, and financial patterns. This study systematically reviews the literature on AI-powered personalization in digital banking, with a specific focus on how customer behavior analytics and intelligent algorithms contribute to enhanced engagement, satisfaction, retention, and trust. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 framework, a total of 111 peer-reviewed articles published between 2014 and 2024 were analyzed to identify core themes, methodologies, innovations, and conceptual gaps. The reviewed literature is thematically organized into seven key domains: foundational AI techniques, behavioral data modeling, predictive analytics, customer engagement outcomes, ethical and governance challenges, innovations in emerging markets, and research limitations. The findings reveal that AI-driven personalization not only improves operational efficiency and service quality but also fosters emotional loyalty and increases the lifetime value of banking customers. Advanced AI techniques—such as machine learning, natural language processing, recommender systems, and sentiment analysis—are widely applied to deliver seamless, context-aware experiences across mobile apps, web portals, and virtual assistants. However, the literature also highlights significant challenges, including inconsistent measurement frameworks, regulatory uncertainty, data privacy concerns, and insufficient attention to cultural diversity and longitudinal performance. Emerging markets, while constrained by infrastructural and regulatory limitations, exhibit innovative adaptations through alternative data use and hybrid AI-human service delivery models. This review offers a comprehensive synthesis of the academic discourse on AI personalization in digital banking and underscores critical areas for future research, industry practice, and policy intervention aimed at building inclusive, ethical, and scalable AI solutions.","url":"https://doi.org/10.63125/z9s39s47","authors":["Md Ashrafuzzaman","Rokhshana Parveen","Mahiya Akter Sumiya","Anisur Rahman"],"tags":["Personalization","Customer engagement","Analytics","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-28","doi":"https://doi.org/10.63125/z9s39s47","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7161031213","name":"Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification","source":"openalex","abstract":"Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators remain too expensive for rapid uncertainty screening and digital-twin-style updates. This study develops a graph-based multi-output surrogate trained on THMC simulation outputs to predict three engineering observables relevant to storage performance and risk assessment: gas saturation (Sg), formation-water pH, and vertical surface displacement. The framework is evaluated over a century-long period from 2031 to 2130, spanning both injection and post-injection phases. Three baseline architectures are compared under a strict realization-level split, namely a multilayer perceptron (MLP), a convolutional neural network (CNN), and a graph neural network (GNN). Among the tested baselines, the GNN delivers the strongest overall accuracy and the most faithful spatial reconstruction, particularly for plume front geometry and deformation localization under unseen geological realizations. At the same time, the proposed model should be interpreted as an emulator of simulator-derived observables rather than as a conservation-enforcing THMC solver. We therefore position the framework as a fast forecasting layer complemented by uncertainty quantification and physics-aware plausibility checks, not as a replacement for full-physics simulation in regulatory or site-specific design studies. Millisecond-scale inference and calibrated ensemble prediction intervals make the approach useful for rapid scenario screening, monitoring support, and digital-twin workflows, while future work should incorporate explicit conservation constraints, richer nonlinear geomechanics, and larger training ensembles.","url":"https://doi.org/10.1007/s00603-026-05545-5","authors":["Hung Vo Thanh","Zhenxue Dai","Tao Zhang"],"tags":["Computer science","Inference","Artificial neural network","Data mining","Uncertainty quantification"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-13","doi":"https://doi.org/10.1007/s00603-026-05545-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2962146655","name":"Digital Construction Strategies and BIM in Railway Tunnelling Engineering","source":"openalex","abstract":"Technology has been a strong driver for industrial efficiency in the twenty-first century. Rapid growth in infrastructure projects such as tunnels is synonymous with both disruptive and supportive technologies that automate operations. The sector has rapidly risen to the challenge from buyers demanding a more digitalised experience when looking to (re)design new tunnels. Currently there are projects in the United Kingdom, Greece and Italy investing in tunnels for their transport networks to help commuters to travel quicker. We could argue that construction has evolved because the tunnels developed nowadays are expected to last for several generations but such an argument is count intuitive. Think of having to spend billions of pounds for a tunnel that does not provide an enhanced travel experience and in a few years’ time requiring a major investment to remodel in order to operate it. This chapter discusses what, why and how digital construction can add value during the lifecycle of a tunnel.","url":"https://doi.org/10.5772/intechopen.87942","authors":["Georgios Kapogiannis","Attwell Mlilo"],"tags":["Engineering","Investment (military)","Order (exchange)","Argument (complex analysis)","Value engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-07-26","doi":"https://doi.org/10.5772/intechopen.87942","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7147207953","name":"DEVELOPMENT OF A DIGITAL TWIN OF A PRODUCTION LINE FOR MODELING AND PREDICTING EQUIPMENT FAILURES OF AN INDUSTRIAL ENTERPRISE","source":"openalex","abstract":"Акционерное общество, акционерный коммерческий банк «НОВИКОМБАНК», Москва, Российская ФедерацияПромышленные предприятия сталкиваются с проблемами, вызванными внезапным отказом производственного оборудования.Одним из перспективных направлений является применение концепции цифровых двойников производственных линий, позволяющих своевременно выявлять потенциальные неисправности и прогнозировать отказы промышленного оборудования.Целью данной работы является разработка комплексного подхода к созданию цифрового двойника производственной линии путем моделирования технологических процессов и прогнозирования отказов оборудования.При проектировании и моделировании отказов оборудования производственной линии использовались результаты теоретического анализа современных научно-технических исследований концепции цифровых двойников.Обоснован выбор платформы для создания цифровых двойников, позволяющий интегрировать данные с различных устройств и применять аналитические методы для прогнозирования и предотвращения отказов.Рассмотрен основной технологический процесс.Разработана дискретно-событийная модель по производству солнечных панелей, которая обеспечила детальное моделирование всех этапов производства с точным воспроизведением временных параметров, логики управления потоками и обработки исключительных ситуаций.Добавлена комплексная система визуализации производственного процесса, которая обеспечивает несколько режимов отображения -от упрощенного схематичного до максимально детализированного.Представлена математическая верификация цифрового двойника промышленной системы для прогнозирования отказов.Проведена многоцелевая оптимизация эксплуатационных процессов, и представлены конечные результаты ключевых показателей производственной системы.Результаты исследования подтвердили эффективность использования цифровых двойников для контроля отказов оборудования в промышленных системах.Разработанная модель продемонстрировала высокую точность прогнозирования и может быть адаптирована для других производственных областей.","url":"https://doi.org/10.17513/snt.40704","authors":["L. Markaryan","E. Begichev"],"tags":["Production line","Production (economics)","Manufacturing engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.17513/snt.40704","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4407031055","name":"Exploring the Mechanisms and Pathways Through Which the Digital Transformation of Manufacturing Enterprises Enhances Green and Low-Carbon Performance Under the “Dual Carbon” Goals","source":"openalex","abstract":"The coordinated development of digitalization and greening is essential for economic transformation and upgrading, especially given the pressing global carbon emission challenges. China’s commitment to achieving “dual carbon” goals highlights the need for sustainable solutions, particularly in the manufacturing sector, which is a significant source of energy consumption and emissions; carbon emissions account for more than 30%. Integrating advanced digital technologies with manufacturing is critical for reducing carbon and sustainable growth. According to the research results, more than 70% of scholars believe that digital transformation boosts green innovation and low-carbon development, but the mechanisms still need to be clarified, slowing transformation efforts and reducing efficiency. Taking the intellectualization and green low-carbon development of manufacturing enterprises as latent variables, and taking the nine paths obtained by scholars’ research results and investigation interviews to promote green low-carbon performance as observation variables, this paper constructs a structural equation model and deeply explores the mechanism and paths of the intellectualization transformation of manufacturing enterprises affecting carbon reduction, emission reduction and sustainable development of enterprises. The research results show that the digital intelligent transformation of manufacturing enterprises affects the green and low-carbon performance improvement and sustainable development of enterprises through technological innovation, industrial structure transformation and upgrading, and reshaping resource allocation. These strategies lower energy use and emissions, strengthen sustainability, and improve green performance. The findings offer theoretical and practical insights, providing a roadmap for efficient digital transformation in manufacturing to achieve the “dual carbon” goals and support sustainable development.","url":"https://doi.org/10.3390/su17031162","authors":["Jun Liu","Peng Zhang","Xiaofei Wang"],"tags":["Intellectualization","Greenhouse gas","Sustainable development","Dual (grammatical number)","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-31","doi":"https://doi.org/10.3390/su17031162","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415427173","name":"Using AI and big data analytics to support entrepreneurial decisions in the digital economy","source":"openalex","abstract":"Despite extensive research on AI's theoretical benefits in entrepreneurship, few studies compare machine learning models' effectiveness using real-world data or address challenges like model interpretability and overfitting. This study investigates how AI-driven big data analytics enhances entrepreneurial decision-making in the digital economy by evaluating four machine learning models-Decision Trees, Random Forest, Gradient Boosting, and Histogram-Based Gradient Boosting-to predict AI service focus. The results reveal that Gradient Boosting outperformed others with a testing R² of 0.9914, identifying company reputation and location as the most influential predictors of AI adoption. These findings challenge assumptions about organizational size's role in digitalization, emphasizing the strategic value of brand and geography. Key limitations include overfitting in Decision Trees and Random Forest, and reliance on static datasets that constrain real-time adaptability. The results demonstrate AI's potential to reduce uncertainty in entrepreneurial strategy, offering actionable insights for market entry and investment decisions. Future research should incorporate real-time data streams and hybrid AI-human frameworks to improve generalizability.","url":"https://doi.org/10.1038/s41598-025-20871-4","authors":["Ye Cao"],"tags":["Interpretability","Big data","Computer science","Gradient boosting","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-22","doi":"https://doi.org/10.1038/s41598-025-20871-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411646643","name":"Bibliometric analysis and review of AI-based video generation: research dynamics and application trends (2020–2025)","source":"openalex","abstract":"AI-based video generation is rapidly advancing field with significant research focus and broad applications across industries like entertainment, education, and healthcare. To gain a structured understanding of the field, this paper systematically reviews the research dynamics and application trends in video generation from 2020 to April 2025. Utilizing a combined approach of content analysis and bibliometric analysis on 422 research publications selected from the Web of Science Core Collection database, we investigate key developments. The content analysis examines state-of-the-art algorithmic innovations, generation strategies, and prominent application domains. Bibliometric analysis, employing tools like CiteSpace and VOSviewer, maps publication trends, identifies influential authors, institutions, and sources, visualizes collaboration networks, and analyzes the evolution of research hotspots through keywords. Our findings the rise of specific architectures, pinpoint high-activity application areas, reveal evolving thematic clusters, and also remarks persistent challenges, including technical hurdles and critical ethical issues such as deepfake detection, algorithmic transparency, and data privacy. By synthesizing these analyses, this study offers a structured overview of the recent landscape, and highlights areas that may warrant further exploration in AI video generation.","url":"https://doi.org/10.1007/s10791-025-09628-9","authors":["Wei Xie","Anshu Hu","Qing Xie","Junjie Chen","Ruoyu Wan","Yuhan Liu"],"tags":["Dynamics (music)","Computer science","Data science","Psychology","Pedagogy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.1007/s10791-025-09628-9","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4287779193","name":"Machine learning based digital twin for dynamical systems with multiple\\n time-scales","source":"openalex","abstract":"Digital twin technology has a huge potential for widespread applications in\\ndifferent industrial sectors such as infrastructure, aerospace, and automotive.\\nHowever, practical adoptions of this technology have been slower, mainly due to\\na lack of application-specific details. Here we focus on a digital twin\\nframework for linear single-degree-of-freedom structural dynamic systems\\nevolving in two different operational time scales in addition to its intrinsic\\ndynamic time-scale. Our approach strategically separates into two components --\\n(a) a physics-based nominal model for data processing and response predictions,\\nand (b) a data-driven machine learning model for the time-evolution of the\\nsystem parameters. The physics-based nominal model is system-specific and\\nselected based on the problem under consideration. On the other hand, the\\ndata-driven machine learning model is generic. For tracking the multi-scale\\nevolution of the system parameters, we propose to exploit a mixture of experts\\nas the data-driven model. Within the mixture of experts model, Gaussian Process\\n(GP) is used as the expert model. The primary idea is to let each expert track\\nthe evolution of the system parameters at a single time-scale. For learning the\\nhyperparameters of the `mixture of experts using GP', an efficient framework\\nthe exploits expectation-maximization and sequential Monte Carlo sampler is\\nused. Performance of the digital twin is illustrated on a multi-timescale\\ndynamical system with stiffness and/or mass variations. The digital twin is\\nfound to be robust and yields reasonably accurate results. One exciting feature\\nof the proposed digital twin is its capability to provide reasonable\\npredictions at future time-steps. Aspects related to the data quality and data\\nquantity are also investigated.\\n","url":"https://doi.org/10.48550/arxiv.2005.05862","authors":["Souvik Chakraborty","Sondipon Adhikari"],"tags":["Computer science","Exploit","Hyperparameter","Gaussian process","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-12","doi":"https://doi.org/10.48550/arxiv.2005.05862","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411858040","name":"Integrating AI in digital project-based blended learning to enhance critical thinking and problem-solving skills","source":"openalex","abstract":"This study investigates the impact of a Digital Project-Based Blended Learning (DPBBL) framework, augmented with Artificial Intelligence (AI), on enhancing students' critical thinking and problem-solving abilities. A mixed-methods research design was employed, involving 72 students, who were randomly assigned to either an experimental group (n = 36) utilizing the AI-supported DPBBL framework or a control group (n = 36) engaged in traditional mixed learning methods. Pre-test and post-test assessments were conducted to measure the effectiveness of the intervention. The results indicated a statistically significant improvement in the experimental group, with a mean post-test score of 78.39 compared to the control group’s 73.89. The integration of AI in the DPBBL framework facilitated personalized feedback, adaptive learning pathways, and real-time analytics, which promoted deeper cognitive engagement and higher-order thinking. The findings suggest that the AI-enhanced DPBBL model effectively supports active learning, collaboration, and practical problem-solving skills. However, the study also identified areas for further improvement, such as fostering divergent thinking and reflective evaluation. This research contributes to the educational technology field by demonstrating the potential of AI-enhanced blended learning models to bridge the gap between theoretical knowledge and practical application, offering scalable solutions to contemporary educational challenges. Future research should explore the long-term effects and feasibility of large-scale implementation of this framework.","url":"https://doi.org/10.31893/multiscience.2025552","authors":["Dydik Kurniawan","Siti Masitoh","Bachtiar Sjaiful Bachri","Warman","Vina Zahrotun Kamila","Eko Subastian","Sulfa Sulfa","Tri Wahyuningsih"],"tags":["Blended learning","Critical thinking","Computer science","Mathematics education","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-14","doi":"https://doi.org/10.31893/multiscience.2025552","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409904873","name":"Driving SDG15 : The Role of HEIs in Biodiversity Conservation Through Digitalization and Reporting","source":"openalex","abstract":"ABSTRACT Education, research, and public engagement are key strategies guiding European higher education institutions (HEIs) in advancing the United Nations Sustainable Development Goals (SDGs). Through stakeholder, legitimacy, and resource‐based view theories, this study examines the contributions of HEIs to saving Life on Land (SDG15), focusing on the role of digital technologies and Partnerships (SDG17) in biodiversity conservation. Despite interest in biodiversity conservation and the adoption of digital technologies in HEIs, knowledge about SDG15 issues is still limited. A double‐level content analysis through Leximancer v.5 and manual analysis was performed on 653 documents (191 sustainability reports and 462 website pages) from 50 European HEIs published between 2018 and 2024. The results highlight the key role of SDG17 and digital technologies in supporting biodiversity conservation efforts but also reveal a lack of standardized reporting frameworks, underscoring the need for a unified European approach to biodiversity disclosure to ensure more consistent and impactful contributions toward the SDGs. To the best of the authors' knowledge, this is the first study to address knowledge gaps on biodiversity practices supported by digitalization and partnerships, as adopted and shared through sustainability reporting by the top 50 universities leading in land conservation in the Times Higher Education (THE) 2024 ranking.","url":"https://doi.org/10.1002/sd.3504","authors":["Assunta Di Vaio","Elisa Van Engelenhoven","Anum Zaffar","Luigi Lepore","Francesco Paolone"],"tags":["Biodiversity","Business","Biodiversity conservation","Chemistry","Food science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-29","doi":"https://doi.org/10.1002/sd.3504","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4389428089","name":"A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment","source":"openalex","abstract":"Abstract Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial intelligence (AI) has empowered smart manufacturing and digital transformation. AI enhances the migration towards industry 4.0 through AI-based decision-making by analyzing real-time data to optimize different processes such as production planning, predictive maintenance, quality control etc., thus guaranteeing reduced costs, high precision, efficiency and accuracy. This paper explores AI-driven smart manufacturing, revolutionizing traditional approaches and unlocking new possibilities throughout the major phases of the industrial equipment lifecycle. Through a comprehensive review, we delve into a wide range of AI techniques employed to tackle challenges such as optimizing process control, machining parameters, facilitating decision-making, and elevating maintenance strategies within the major phases of an industrial equipment lifecycle. These phases encompass design, manufacturing, maintenance, and recycling/retrofitting. As reported in the 2022 McKinsey Global Survey ( https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review ), the adoption of AI has witnessed more than a two-fold increase since 2017. This has contributed to an increase in AI research within the last six years. Therefore, from a meticulous search of relevant electronic databases, we carefully selected and synthesized 42 articles spanning from 01 January 2017 to 20 May 2023 to highlight and review the most recent research, adhering to specific inclusion and exclusion criteria, and shedding light on the latest trends and popular AI techniques adopted by researchers. This includes AI techniques such as Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), Bayesian Networks, Support Vector Machines (SVM) etc., which are extensively discussed in this paper. Additionally, we provide insights into the advantages (e.g., enhanced decision making) and challenges (e.g., AI integration with legacy systems due to technical complexities and compatibilities) of integrating AI across the major stages of industrial equipment operations. Strategically implementing AI techniques in each phase enables industries to achieve enhanced productivity, improved product quality, cost-effectiveness, and sustainability. This exploration of the potential of AI in smart manufacturing fosters agile and resilient processes, keeping industries at the forefront of technological advancements and harnessing the full potential of AI-driven solutions to improve manufacturing processes and products.","url":"https://doi.org/10.1007/s44163-023-00089-x","authors":["Mahboob Elahi","Samuel Olaiya Afolaranmi","José L. Martínez Lastra","José Antonio Pérez García"],"tags":["Computer science","Control (management)","Process (computing)","Manufacturing engineering","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-07","doi":"https://doi.org/10.1007/s44163-023-00089-x","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4414382941","name":"Talking Tech, Teaching with Tech: How Primary Teachers Implement Digital Technologies in Practice","source":"openalex","abstract":"This paper explores how primary school teachers integrate digital technologies into their classroom practice, with a particular focus on the extent to which their stated intentions align with what actually takes place during lessons. Drawing on data from the Bulgarian SUMMIT project on digital transformation in education, the study employed a mixed-methods design combining semi-structured interviews, structured lesson observations, and analysis of teaching materials. The sample included 44 teachers from 26 Bulgarian schools, representing a range of educational contexts. The analysis was guided by the Digital Technology Integration Framework (DTIF), which distinguishes between three modes of technology use—Support, Extend, and Transform—based on the depth of pedagogical change. The findings indicated a strong degree of consistency between teachers’ accounts and observed practices in areas such as the use of digital tools for content visualisation, lesson enrichment, and reinforcement of knowledge. At the same time, the study highlights important gaps between teachers’ aspirations and classroom realities. Although many spoke of wanting to promote independent exploration, creativity, collaboration, and digital citizenship, these ambitions were rarely realised in observed lessons. Pupil autonomy and opportunities for creative digital production were limited, with extended and transformative practices appearing only occasionally. No significant subject-specific differences were identified: teachers across disciplines tended to rely on the same set of familiar tools, while more advanced or innovative uses of technology remained rare. Rather than offering a definitive account of progress, the study raises critical questions about teachers’ digital pedagogical competencies, contextual constraints and the depth of technology integration in everyday classroom practice. While digital tools are increasingly present, their use often remains limited to supporting traditional instruction, with extended and transformative applications still aspirational rather than routine. The findings draw attention to context-specific challenges in the Bulgarian primary education system and the importance of aligning digital innovation with pedagogical intent. This highlights the need for sustained professional development focused on learner-centred digital pedagogies, along with stronger institutional support and equitable access to infrastructure.","url":"https://doi.org/10.3390/informatics12030099","authors":["Lyubka Aleksieva","Veronica Racheva","Roumiana Peytcheva-Forsyth"],"tags":["Transformative learning","Consistency (knowledge bases)","Technology integration","Set (abstract data type)","Pedagogy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-22","doi":"https://doi.org/10.3390/informatics12030099","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7162659814","name":"Digital-Twin Framework for Continuous Manufacturing Using PAT Signals and Critical Quality Attributes","source":"openalex","abstract":"Continuous manufacturing is transforming pharmaceutical production by replacing segmented batch operations with integrated, dynamic process trains, which necessitates quality assurance tools that operate continuously rather than relying primarily on end-product release testing. Current control strategies often interpret PAT measurements as isolated trends rather than as part of a connected process state, limiting their ability to anticipate how interacting material attributes, process parameters","url":"https://doi.org/10.51847/sl0aa46giu","authors":["Andreas Müller","Stefan Weber","Julia Hoffmann","Lukas Schneider","Tobias Klein"],"tags":["Process (computing)","Quality (philosophy)","Limiting","Quality assurance","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.51847/sl0aa46giu","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4393023577","name":"Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies","source":"openalex","abstract":"Multi-agent reinforcement learning (MARL) for cyber-physical vehicle systems usually requires a significantly long training time due to their inherent complexity. Furthermore, deploying the trained policies in the real world demands a feature-rich environment along with multiple physical embodied agents, which may not be feasible due to monetary, physical, energy, or safety constraints. This work seeks to address these pain points by presenting a mixed-reality (MR) digital twin (DT) framework capable of: (i) boosting training speeds by selectively scaling parallelized simulation workloads on-demand, and (ii) immersing the MARL policies across hybrid simulation-to-reality (sim2real) experiments. The viability and performance of the proposed framework are highlighted through two representative use cases, which cover cooperative as well as competitive classes of MARL problems. We study the effect of: (i) agent and environment parallelization on training time, and (ii) systematic domain randomization on zero-shot sim2real transfer, across both case studies. Results indicate up to 76.3% reduction in training time with the proposed parallelization scheme and sim2real gap as low as 2.9% using the proposed deployment method.","url":"https://doi.org/10.48550/arxiv.2403.10996","authors":["Chinmay Vilas Samak","Tanmay Vilas Samak","Venkat Krovi"],"tags":["Parallelizable manifold","Reinforcement learning","Scalability","Computer science","Transition (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-16","doi":"https://doi.org/10.48550/arxiv.2403.10996","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414980140","name":"Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives","source":"openalex","abstract":"Industrial scheduling plays a central role in Industry 4.0, where efficiency, robustness, and adaptability are essential for competitiveness. This review surveys recent advances in reinforcement learning, digital twins, and hybrid artificial intelligence (AI)–operations research (OR) approaches, which are increasingly used to address the complexity of flexible job-shop and distributed scheduling problems. We focus on how these methods compare in terms of scalability, robustness under uncertainty, and integration with industrial IT systems. To move beyond an enumerative survey, the paper introduces a structured analysis in three domains: comparative strengths and limitations of different approaches, ready-made tools and integration capabilities, and representative industrial case studies. These cases, drawn from recent literature, quantify improvements such as reductions in makespan, tardiness, and cycle time variability, or increases in throughput and schedule stability. The review also discusses critical challenges, including data scarcity, computational cost, interoperability with Enterprise Resource Planning (ERP)/Manufacturing Execution System (MES) platforms, and the need for explainable and human-in-the-loop frameworks. By synthesizing methodological advances with industrial impact, the paper highlights both the potential and the limitations of current approaches and outlines key directions for future research in resilient, data-driven production scheduling.","url":"https://doi.org/10.3390/app151910823","authors":["Alina Itu"],"tags":["Computer science","Interoperability","Adaptability","Scheduling (production processes)","Robustness (evolution)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-09","doi":"https://doi.org/10.3390/app151910823","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2613955651","name":"Global skin colour prediction from DNA","source":"openalex","abstract":"Human skin colour is highly heritable and externally visible with relevance in medical, forensic, and anthropological genetics. Although eye and hair colour can already be predicted with high accuracies from small sets of carefully selected DNA markers, knowledge about the genetic predictability of skin colour is limited. Here, we investigate the skin colour predictive value of 77 single-nucleotide polymorphisms (SNPs) from 37 genetic loci previously associated with human pigmentation using 2025 individuals from 31 global populations. We identified a minimal set of 36 highly informative skin colour predictive SNPs and developed a statistical prediction model capable of skin colour prediction on a global scale. Average cross-validated prediction accuracies expressed as area under the receiver-operating characteristic curve (AUC) ± standard deviation were 0.97 ± 0.02 for Light, 0.83 ± 0.11 for Dark, and 0.96 ± 0.03 for Dark-Black. When using a 5-category, this resulted in 0.74 ± 0.05 for Very Pale, 0.72 ± 0.03 for Pale, 0.73 ± 0.03 for Intermediate, 0.87±0.1 for Dark, and 0.97 ± 0.03 for Dark-Black. A comparative analysis in 194 independent samples from 17 populations demonstrated that our model outperformed a previously proposed 10-SNP-classifier approach with AUCs rising from 0.79 to 0.82 for White, comparable at the intermediate level of 0.63 and 0.62, respectively, and a large increase from 0.64 to 0.92 for Black. Overall, this study demonstrates that the chosen DNA markers and prediction model, particularly the 5-category level; allow skin colour predictions within and between continental regions for the first time, which will serve as a valuable resource for future applications in forensic and anthropologic genetics.","url":"https://doi.org/10.1007/s00439-017-1808-5","authors":["Susan Walsh","Lakshmi Chaitanya","Krystal Breslin","Charanya Muralidharan","Agnieszka Bronikowska","Ewelina Pośpiech","Júlia Koller","Leda Kovatsi","Andreas Wollstein","Wojciech Branicki","Fan Liu","Manfred Kayser"],"tags":["Biology","Single-nucleotide polymorphism","Receiver operating characteristic","SNP","Genetics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-05-12","doi":"https://doi.org/10.1007/s00439-017-1808-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415385645","name":"Integrating Digital Twins and Positive Energy Districts: A Framework for Scalable Urban Energy Transformation","source":"openalex","abstract":"Positive Energy Districts (PEDs) offer a path to urban climate neutrality but present significant management complexity. Digital Twins (DTs), dynamic virtual replicas, provide powerful tools for monitoring, simulation, and control needed for PEDs. This paper proposes a structured conceptual and architectural framework for DT-PED integration, delineating functional layers (Data Acquisition, Virtual Modeling, Analytics Engine, Control, Stakeholder Interface) and their interdependencies. This framework provides a blueprint to leverage DTs for managing heterogeneous systems and data streams inherent in PEDs. Addressing key challenges in data, modeling, interoperability, and scalability, identified herein, is crucial for realizing robust, integrated DT-PED solutions needed to accelerate sustainable urban energy transformation.","url":"https://doi.org/10.1051/e3sconf/202565404007","authors":["Xiufeng Liu","Xiao-Bing Zhang","Ramazan Sarı","Per Sieverts Nielsen"],"tags":["Blueprint","Computer science","Leverage (statistics)","Scalability","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1051/e3sconf/202565404007","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4360994956","name":"Data-driven soft sensors in blast furnace ironmaking: a survey","source":"openalex","abstract":"The blast furnace is a highly energy-intensive, highly polluting, and extremely complex reactor in the ironmaking process. Soft sensors are a key technology for predicting molten iron quality indices reflecting blast furnace energy consumption and operation stability, and play an important role in saving energy, reducing emissions, improving product quality, and producing economic benefits. With the advancement of the Internet of Things, big data, and artificial intelligence, data-driven soft sensors in blast furnace ironmaking processes have attracted increasing attention from researchers, but there has been no systematic review of the data-driven soft sensors in the blast furnace ironmaking process. This review covers the state-of-the-art studies of data-driven soft sensors technologies in the blast furnace ironmaking process. Specifically, we first conduct a comprehensive overview of various data-driven soft sensor modeling methods (multiscale methods, adaptive methods, deep learning, etc.) used in blast furnace ironmaking. Second, the important applications of data-driven soft sensors in blast furnace ironmaking (silicon content, molten iron temperature, gas utilization rate, etc.) are classified. Finally, the potential challenges and future development trends of data-driven soft sensors in blast furnace ironmaking applications are discussed, including digital twin, multi-source data fusion, and carbon peaking and carbon neutrality.","url":"https://doi.org/10.1631/fitee.2200366","authors":["Yueyang Luo","Xinmin Zhang","Manabu Kano","Long Deng","Chunjie Yang","Zhihuan Song"],"tags":["Blast furnace","Soft sensor","Process engineering","Engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-01","doi":"https://doi.org/10.1631/fitee.2200366","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413527264","name":"A Comprehensive Review on Digital Twin Integration in Smart Manufacturing Technologies, Challenges, and Future Trends","source":"openalex","abstract":"Digital Twin (DT) technology has been the driving force in the industry 4.0 and future industrial landscapes by providing real-time coordination between physical assets and virtual twins. In smart manufacturing, DTs provide never-seen-before simulation, prediction, and optimization in the product lifecycle. This review delivers an in-depth evaluation of the latest trends in integrating Digital Twins in the manufacturing system. The paper starts by tracing the conceptual development and architecture of the DTs, followed by the in-depth exploration of the enabling technologies like IoT, artificial intelligence, edge computing, and cyber-physical systems. Industrial applications in key areas like predictive maintenance, process optimization, and human–machine collaboration have been assessed in the automotive, aerospace, and additive manufacturing sectors. The paper also covers the essential challenges in the areas of standardization, security in the sphere of data, real-time processing, and interoperability. The latest developments in the areas of cognitive twins, sustainability-oriented DTs, and integrating them into upcoming paradigms like Industry 5.0 have been considered. The paper concludes by the exploration of present-day research gaps and contributing future directions for the deployment of scalable, secure, and intelligent DTs in the field of manufacturing. The paper aims to act as the foundation for the researcher and practitioner community by bringing academic understanding and industrial relevance in close proximity to the application areas of the Digital Twins, ensuring the latter's position as the strategic facilitator for the future-day excellence in the field of manufacturing.","url":"https://doi.org/10.47363/jaicc/2025(4)470","authors":["Akash Abaji Kadam"],"tags":["Smart manufacturing","Engineering","Data science","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-25","doi":"https://doi.org/10.47363/jaicc/2025(4)470","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4307860544","name":"Design for Weapon Live Test Decision Support System Using Digital Twin Architecture","source":"openalex","abstract":"The purpose of the weapon live test during the phase of development is to provide essential information to decision makers that verify and validate the performance capabilities of weapons. Due to varying allocation and high variance of test resources with an increase in the weapon system’s capability, the test environment can get highly complex, which can lead to a decrease in the reliability of test results. This issue can be addressed by applying a decision support system that provides various timely information collected by resources during the test process. The decision support system can be designed by applying the concept of digital twins, that are defined as digital replicas of components, systems and processes. This paper describes a design methodology of the decision support system that consists of digital models and service functions using digital twin architecture. A case study illustrates the feasibility of the proposed methodology in supporting the weapon live test process.","url":"https://doi.org/10.9766/kimst.2022.25.5.501","authors":["Eung-Su Kim","Ki-Yeol Ryu"],"tags":["Test (biology)","Decision support system","Process (computing)","Reliability (semiconductor)","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-05","doi":"https://doi.org/10.9766/kimst.2022.25.5.501","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416231412","name":"Toward a Theoretical Framework for Digital Twin Readiness Assessment in Logistics: Conceptualization and Model Development","source":"openalex","abstract":"Digital Twins provide comprehensive capabilities to solve critical logistics problems such as visibility, monitoring, optimization, prediction, and simulation. This study explores the existing DT readiness assessment models in SCs and logistics, discovers their limitations, and proposes a conceptual model based on an organization’s internal and external attributes to strategize DT implementation in logistic functions. The results showed that the existing readiness assessment models have weaknesses and drawbacks, motivating the researchers to develop a new logistic DT readiness assessment model. This study identified six main organizational dimensions directly affecting measuring overall logistics’ DT readiness, which are management readiness, personnel readiness, information readiness, organization readiness, product readiness, and process flow readiness. Their relationship is mediated by Technology Integration and moderated by Supply Chain Complexity, which was tested using partial least squares structural equation modeling to show the importance of strategizing DT implementation in logistics.","url":"https://doi.org/10.3390/engproc2025113066","authors":["Lahiru Vimukthi Bandara","László Buics"],"tags":["Conceptualization","Knowledge management","Conceptual model","Process (computing)","Structural equation modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-13","doi":"https://doi.org/10.3390/engproc2025113066","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415059564","name":"Pulpit, power, and predation: “Yahoo Men of God,” prosperity theology, and the Twin Fraud Triangles","source":"openalex","abstract":"We analyse public discourse on pastors’ unethical financial exploitation within the charismatic Christian community. Using qualitative content analysis of social-media responses, we examine how the public perceives, discusses, and interprets these cases, privileging emic viewpoints. We find that faith leaders are seen to exploit congregants’ social trust and spiritual devotion for personal gain. Grounded in Donald Cressey’s Fraud Triangle theory, we identify key components of fraudulent behavior in religious contexts while extending the framework to introduce the “Twin Fraud Triangles.” This expanded model incorporates both the cultural logic of perpetrators and the subjective experiences of their congregations and observers, providing a more nuanced understanding of fraud in religious settings. Our findings call for greater awareness and community-led safeguards to protect spiritual and financial well-being. This study contributes to ongoing debates on trust, authority, and moral economies within religious institutions, offering insights that could inform future community responses and interventions.","url":"https://doi.org/10.1177/20503032251381309","authors":["Suleman Lazarus","Peter Tickner","Mark Button"],"tags":["Prosperity","Faith","Charisma","Emic and etic","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-10","doi":"https://doi.org/10.1177/20503032251381309","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4318480283","name":"Interlinkages between the Just Ecological Transition and the Digital Transformation","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4329226","authors":["Valeria Verdolini"],"tags":["Transformation (genetics)","Transition (genetics)","Ecology","Digital transformation","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2139/ssrn.4329226","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3128855809","name":"The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder","source":"openalex","abstract":"BACKGROUND: Misconceptions about ADHD stigmatize affected people, reduce credibility of providers, and prevent/delay treatment. To challenge misconceptions, we curated findings with strong evidence base. METHODS: We reviewed studies with more than 2000 participants or meta-analyses from five or more studies or 2000 or more participants. We excluded meta-analyses that did not assess publication bias, except for meta-analyses of prevalence. For network meta-analyses we required comparison adjusted funnel plots. We excluded treatment studies with waiting-list or treatment as usual controls. From this literature, we extracted evidence-based assertions about the disorder. RESULTS: We generated 208 empirically supported statements about ADHD. The status of the included statements as empirically supported is approved by 80 authors from 27 countries and 6 continents. The contents of the manuscript are endorsed by 366 people who have read this document and agree with its contents. CONCLUSIONS: Many findings in ADHD are supported by meta-analysis. These allow for firm statements about the nature, course, outcome causes, and treatments for disorders that are useful for reducing misconceptions and stigma.","url":"https://doi.org/10.1016/j.neubiorev.2021.01.022","authors":["Stephen V. Faraone","Tobias Banaschewski","David Coghill","Yi Zheng","Joseph Biederman","Mark A. Bellgrove","Jeffrey H. Newcorn","Martin Gignac","Nouf Mohammed Al Saud","Iris Manor","Luís Augusto Rohde","Li Yang","Samuele Cortese","Doron Almagor","Mark A. Stein","Turki H. Albatti","Haya F. Al-Joudi","Mohammed M. J. Alqahtani","Philip Asherson","Lukoye Atwoli","Sven Bölte","Jan K. Buitelaar","Cleo L. Crunelle","David Daley","Søren Dalsgaard","Manfred Döpfner","Stacey D. Espinet","Michael Fitzgerald","Barbara Franke","Manfred Gerlach","Jan Haavik","Catharina A. Hartman","Cynthia M. Hartung","Stephen P. Hinshaw","Pieter J. Hoekstra","Chris Hollis","Scott H. Kollins","J. J. Sandra Kooij","Jonna Kuntsi","Henrik Larsson","Tingyu Li","Jing Liu","Eugene Merzon","Gregory W. Mattingly","Paulo Mattos","Suzanne McCarthy","Amori Yee Mikami","Brooke S. G. Molina","Joel T. Nigg","Diane Purper‐Ouakil","Olayinka Omigbodun","Guilherme V. Polanczyk","Yehuda Pollak","Alison Poulton","Ravi Philip Rajkumar","Andrew Reding","Andreas Reif","Katya Rubia","Julia J. Rucklidge","Marcel Romanos","Josep Antoni Ramos‐Quiroga","Arnt Schellekens","Anouk Scheres","Renata Schoeman","Julie B. Schweitzer","Henal Shah","Mary V. Solanto","Edmund Sonuga‐Barke","César A. Soutullo","Hans-Christoph Steinhausen","James M. Swanson","Anita Thapar","Gail Tripp","Geurt van de Glind","Wim van den Brink","Saskia Van der Oord","André Venter","Benedetto Vitiello","Susanne Walitza","Yufeng Wang"],"tags":["Statement (logic)","Psychology","Psychiatry","Consensus conference","Russian federation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-04","doi":"https://doi.org/10.1016/j.neubiorev.2021.01.022","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2099130186","name":"Report of the Secretary-General","source":"openalex","abstract":"status: Published online","url":"https://doi.org/10.4324/9780203044315-9","authors":["Crompvoets, Joep"],"tags":["Secretary general","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2012-12-06","doi":"https://doi.org/10.4324/9780203044315-9","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4416196109","name":"Scan-to-EDTs: Automated Generation of Energy Digital Twins from 3D Point Clouds","source":"openalex","abstract":"Digital Twins (DTs) are transforming construction and energy management sectors by integrating 3D surveying, monitoring, Building Performance Simulation (BPS), and Building Energy Simulation (BES) from the earliest design or retrofit stages. Moreover, dynamic thermal simulations further support energy performance assessments by modeling indoor conditions to meet comfort and efficiency targets. However, their reliability depends on accurate, standards-compliant 3D building models, which are costly to create. This research introduces a complete framework for automatically generating energy-focused Digital Twins (EDTs) directly from unstructured point clouds. Combining Deep Learning-based instance detection, Scan-to-BIM techniques, and computational geometry, the method produces simulation-ready models without manual intervention. The resulting EDTs streamline early-stage performance evaluation, enable scenario testing, and enhance decision making for energy-efficient retrofits, advancing smart-building design through predictive simulation.","url":"https://doi.org/10.3390/buildings15224060","authors":["O. V. Roman","Maarten Bassier","Giorgio Agugiaro","Ken Arroyo Ohori","Elisa Mariarosaria Farella","Fabio Remondino"],"tags":["Reliability (semiconductor)","Energy (signal processing)","Computer science","Point cloud","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-11","doi":"https://doi.org/10.3390/buildings15224060","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4408577618","name":"A Twin Transition or a policy flagship? Emergent constellations and dominant blocks in green and digital technologies","source":"openalex","abstract":"The aim of this paper is to understand whether what has been labelled as “twin transition”, at first as a policy flagship, endogenously emerges as a new technological trajectory stemming by the convergence of the green and digital technologies. Embracing an evolutionary approach to technology, we first identify the set of relevant technologies defined as “green”, analyse their evolution in terms of dominant blocks within the green technologies and concurrences with digital technologies, drawing on 560,720 granted patents by the US Patent Office from 1976 to 2024. Three dominant blocks emerge as relevant in defining the direction of innovative efforts, namely energy, transport and production processes. We assess the technological concentration and underlying complexity of the dominant blocks and construct counterfactual scenarios. We hardly find evidence of patterns of actual endogenous convergence of green and digital technologies in the period under analysis. On the whole, for the time being, the “twin transition” appears to be just a policy flagship, rather than an actual endogenous technological trajectory driving structural change.","url":"https://doi.org/10.53330/bfvc9329","authors":["Linnea Nelli","Maria Enrica Virgillito","Marco Vivarelli"],"tags":["Constellation","Transition (genetics)","Computer science","Physics","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-17","doi":"https://doi.org/10.53330/bfvc9329","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7125703780","name":"Digital Twin for Sustainable Social Housing: Integrating BIM and MMC Towards Industry 5.0","source":"openalex","abstract":"MMC has been globally recognised as a promising solution for the current global social housing crisis, although persistent challenges remain in relation to limited early-stage design coordination and chronic design inconsistencies, which often cause costly post-design modifications. In response, digital twinning enabled through BIM has emerged as a compelling approach to tackle these challenges. BIM serves a transformative role in advancing sustainable social housing supply by integrating BIM with advanced smart technologies such as AR/VR, IoT, AI, and robotics. Nevertheless, significant constraints continue to impede a wide adoption of BIM due to technical capacity, organisational readiness, knowledge dissemination, and legal frameworks that support embracing BIM and associated smart technologies. Moreover, a notable knowledge gap persists in the application of BIM-enabled digital twinning across the entire project lifecycle of MMC projects, which may be addressed through the integration of Industry 5.0 principles with BIM, emphasising human-centricity, resilience, and sustainability as foundational pillars for future innovation.","url":"https://doi.org/10.3390/encyclopedia6020030","authors":["Chathuri Widanage","Ki Pyung Kim"],"tags":["Sustainability","Transformative learning","Industry 4.0","Process management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.3390/encyclopedia6020030","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7134270809","name":"AI-driven digital twin-based security orchestration, automation and response for critical infrastructures","source":"openalex","abstract":"Abstract The more critical infrastructures (CIs) being digitized, the more vulnerable they are regarding cyber security attacks. Digitisation-leveraging technologies in the Internet of Things (IoT) and Cyber-Physical Systems (CPS) have been largely adopted for CIs, along with the Digital Twin (DT) paradigm. However, the distributed and heterogeneous nature of IoT or CPS poses significant challenges in safeguarding against diverse attack surfaces, including physical devices, network infrastructures, and third-party integration. To tackle these challenges, we propose an AI-driven DT-based security orchestration automation and response framework (SOAR4BC). Gathering system contexts from the DT in combination with security intelligence from the security tools gives us a holistic context for SOAR, which has not been seen in the existing approaches. We leverage this holistic context into the decision-making core, which utilizes advanced algorithms, like deep reinforcement learning, to generate adaptation recommendations based on incident alerts, risk assessments, and system state observations. By rigorously evaluating tampered data and distributed denial of service (DDoS) scenarios, we validate the SOAR4BC framework’s efficacy in handling security incidents leveraging digital twin environments. We further demonstrate real-world applicability through false-data injection and DoS attacks on an operational electric-vehicle charging testbed, confirming the practical effectiveness of SOAR4BC in securing critical infrastructures. Together, these results establish SOAR4BC as a robust and explainable AI-driven SOAR framework that advances the use of digital twins for cybersecurity in IoT and CPS ecosystems, offering actionable contributions for both research and industrial deployment.","url":"https://doi.org/10.1007/s10515-026-00612-1","authors":["Phu Nguyen","Ashish Rauniyar","Jone Bartel","Jan Laufer","Christos Dalamagkas","Klaus Pohl"],"tags":["Computer security","Computer science","Cloud computing","Leverage (statistics)","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-09","doi":"https://doi.org/10.1007/s10515-026-00612-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412070082","name":"Integration of digital technology by health analysts in health information systems: Systematic Review","source":"openalex","abstract":"Introduction: The rapid advancement of digital technology has significantly transformed health information systems (HIS) worldwide. Health analysts, as key professionals in managing health data, play a crucial role in the integration and utilization of these digital tools. However, the extent, effectiveness, and challenges of this integration remain underexplored across different healthcare contexts. This systematic review aims to examine the integration of digital technology by health analysts within health information systems, focusing on the types of technologies adopted, the roles played by health analysts, the benefits gained, and the challenges encountered during implementation. Methods: Following the PRISMA 2020 guidelines, we conducted a systematic search of peer-reviewed articles published between 2013 and 2025 from databases including PubMed, Scopus, ScienceDirect, and Google Scholar. Keywords used included “health analyst”, “digital technology”, “health information system”, and “integration”. Eligible studies included primary research involving health analysts and the application of digital health technologies. Results: From an initial pool of 1,274 articles, 28 studies met the inclusion criteria. The findings reveal that health analysts have been instrumental in integrating technologies such as Electronic Health Records (EHR), Laboratory Information Systems (LIS), data analytics platforms, and mobile health applications. The integration has led to improved data accuracy, faster reporting, and enhanced decision-making support. Nonetheless, several challenges were identified, including lack of digital training, infrastructure limitations, and regulatory gaps. Conclusions: The integration of digital technologies by health analysts significantly enhances the performance of health information systems. However, successful adoption requires continuous professional development, supportive policies, and robust digital infrastructure. Future efforts should focus on strengthening the digital competencies of health analysts and aligning technology integration with national health strategies.","url":"https://doi.org/10.61099/jih.v1i1.105","authors":["Suprapto Suprapto","Muh Ihsan Kamaruddin"],"tags":["Data science","Digital health","Computer science","Health information technology","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-18","doi":"https://doi.org/10.61099/jih.v1i1.105","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7129386187","name":"Enhancing IIoT Security Using Digital Twins in Industry 5.0: A Systematic Literature Review","source":"openalex","abstract":"The rapid advancement of Industry 5.0 and the concurrent growth of the Industrial Internet of Things (IIoT) present significant cybersecurity challenges necessitating advanced solutions. Digital Twin technology, which enables the creation of near-perfect digital replicas of physical systems, offers a promising approach to enhancing security and safety. This paper presents a literature review of the existing research to identify the challenges and future directions for integrating DT technology into IIoT from a security perspective. We aim to establish a comprehensive understanding of emerging features, including predictive analytics, real-time threat detection, and cybersecurity management. Additionally, this review highlights critical gaps, including complexity, model fidelity, real-time data processing, and scalability, which hinder the successful deployment of DT technology. Our study will assist researchers, cybersecurity practitioners, and policymakers in understanding the potential, limitations, and future advancements of this crucial area.","url":"https://doi.org/10.3390/info17020209","authors":["Md Whaiduzzaman","Natasha Tanzila Monalisa","Shinthi Tasnim Himi","Shirin Sultana","Tony Jan","Alistair Barros"],"tags":["Software deployment","Computer security","Systematic review","Industry 4.0","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-17","doi":"https://doi.org/10.3390/info17020209","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4311169569","name":"Enhancing the resilience of low-income housing using emerging digital technologies","source":"openalex","abstract":"Abstract The research discussed is part of a Belmont Forum disaster risk reduction project aimed at enhancing the resilience of low-income housing. This paper examines feasibility and viability of using emerging digital technologies to enhance the resilience of low-income housing based on requirements of resource constrained, low-lying coastal areas in East Africa. The authors focus on the need to facilitate data and knowledge sharing across domains to: 1) reduce or avoid the potential property loss from flooding events through mapping the interdependencies and interconnectedness across natural and human systems; 2) coordinate the provision of temporary shelter for displaced victims, and 3) building (back) better during the recovery phase. The deployment of Artificial Intelligence, Internet of Things, BIM, Digital twin, VR/AR in disaster risk management is still an emerging area of research. In general, cutting-edge digital technologies are deployed as standalone solutions to address existing data and knowledge sharing needs that are unique to a sub-group of stakeholders. A more holistic and comprehensive solution will require an integrative framework that supports the seamless flow of information across the stakeholders. We propose to address this need through an artificial intelligence enhanced data, information and knowledge sharing platform that synthesizes content into actionable insights","url":"https://doi.org/10.1088/1755-1315/1101/9/092013","authors":["Esther Obonyo","L A Ouma"],"tags":["Resilience (materials science)","Software deployment","Interdependence","Knowledge management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-01","doi":"https://doi.org/10.1088/1755-1315/1101/9/092013","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415932675","name":"Integrating Reverse Engineering for Digital Model Reconstruction and Remanufacturing of Mechanical Components: A Systematic Review","source":"openalex","abstract":"Reverse engineering (RE) is increasingly recognized as a vital methodology for reconstructing mechanical components, particularly in high-value sectors such as aerospace, transportation, and energy, where technical documentation is often missing or outdated. This study presents a systematic review that investigates the application, challenges, and future directions of RE in mechanical component reconstruction. Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, 68 peer-reviewed studies were identified, screened, and synthesized. The review highlights RE applications in restoration, redesign, internal geometry modeling, and simulation-driven performance assessment, leveraging technologies such as 3D scanning, CAD modeling, and finite element analysis. However, persistent challenges remain across five domains: product complexity, tolerance and dimensional variations, scanning limitations, integration barriers, and human-material-process dependencies, which hinder automation, accuracy, and manufacturability. Future research opportunities include the automated conversion of point cloud data into editable boundary representation (B-rep) models and AI-driven approaches for feature recognition, geometry reconstruction, and the generation of simulation-ready models. Additionally, advancements in scanning techniques to capture hidden or internal features more effectively are crucial. Overall, this review provides a comprehensive synthesis of current practices and challenges while proposing pathways to advance RE in industrial applications, fostering greater automation, accuracy, and integration in digital manufacturing workflows.","url":"https://doi.org/10.3390/metrology5040066","authors":["Binoy Debnath","Zahra Pourfarash","Bhairavsingh Ghorpade","Shivakumar Raman"],"tags":["Reverse engineering","Remanufacturing","Point cloud","Systems engineering","Documentation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-05","doi":"https://doi.org/10.3390/metrology5040066","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412571687","name":"Cardiac Mechano-Electrical-Fluid Interaction: A Brief Review of Recent Advances","source":"openalex","abstract":"This review investigates recent developments in cardiac mechano-electrical-fluid interaction (MEFI) modeling, with a focus on multiphysics simulation platforms and digital twin frameworks developed between 2015 and 2025. The purpose of the study is to assess how computational modeling methods—particularly finite element and immersed boundary techniques, monolithic and partitioned coupling schemes, and artificial intelligence (AI)-enhanced surrogate modeling—capture the integrated dynamics of cardiac electrophysiology, tissue mechanics, and hemodynamics. The goal is to evaluate the translational potential of MEFI models in clinical applications such as cardiac resynchronization therapy (CRT), arrhythmia classification, atrial fibrillation ablation, and surgical planning. Quantitative results from the literature demonstrate <5% error in pressure–volume loop predictions, >0.90 F1 scores in machine-learning-based arrhythmia detection, and <10% deviation in myocardial strain relative to MRI-based ground truth. These findings highlight both the promise and limitations of current MEFI approaches. While recent advances improve physiological fidelity and predictive accuracy, key challenges remain in achieving multiscale integration, model validation across diverse populations, and real-time clinical applicability. The review concludes by identifying future milestones for clinical translation, including regulatory model certification, standardization of validation protocols, and integration of patient-specific digital twins into electronic health record (EHR) systems.","url":"https://doi.org/10.3390/eng6080168","authors":["Jun Xu","Fei Wang"],"tags":["Neuroscience","Nanotechnology","Materials science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.3390/eng6080168","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4381996201","name":"IMMERSIVE APPIAN WAY HEALTH INFRASTRUCTURE: HUMAN CENTRIC DIGITAL TWIN (THE PAAA ARCHEOLOGICAL PARK OF THE APPIAN WAY 12KM STATE-OWN SECTION, UNESCO CANDIDATURE)","source":"openalex","abstract":"Abstract. From Rome to Benevento, the Appian Way (Via Appia Antica) was born as a military road, 'Regina Viarum'. In 312 b.C., consul Appio Claudio extended the infrastructure for 132 miles to Capua. Many transformations and integration occurred across the centuries, resulting in a unique multi-stratified world heritage (landscape, architecture, archaeological remains and tombs along the military way). In the 19th century, Luigi Canina conceived the Appian Way as an outdoor museum, realizing a first state-own section along the 12km here surveyed and described. This year, the Ministry of Culture (MIC) has launched the UNESCO nomination for the road. The article discusses aspects of the mass digitization undertaken by the Parco Archeologico dell'Appia Antica (PAAA, the Archaeological Park of the Appian Way). The aim is to build a Digital Twin of the infrastructure supporting knowledge enhancement, preservation, design, communication and fruition. A virtual space where digital technologies and eXtended Reality are the digital arms of the contemporary Vitruvian humanistic mission and vision of the PAAA Appian Way as a source of wealth and healthiness for all the users and visitors.","url":"https://doi.org/10.5194/isprs-archives-xlviii-m-2-2023-311-2023","authors":["Raffaella Brumana","S. Quilici","L Oliva","M. Previtali","Dario Attico","Fabio Roncoroni","C. Stanga"],"tags":["Digitization","Section (typography)","Architecture","Archaeology","Humanism"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-24","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-2-2023-311-2023","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409618405","name":"Revolutionizing Oil Production State Diagnosis With Digital Twin and Deep Learning Fusion Technology","source":"openalex","abstract":"As global energy demand continues to grow, the efficiency and safety of oil and gas production systems have become increasingly important. However, the current‐state diagnosis technologies in the oil and gas production sector still face multiple challenges. Traditional monitoring methods often rely on experience and rule‐based approaches, making it difficult to reflect the actual operating status of the system in real time. These methods show insufficient accuracy and response speed when dealing with complex operating conditions and sudden events, leading to potential economic losses and safety hazards. Aiming to enhance the real‐time diagnostic capabilities of oil and gas production processes, this study introduces an improved long short‐term memory (LSTM) neural network into digital twin models. Digital twins have emerged as a potent tool for monitoring and diagnosing the state of oil and gas production processes. However, due to the inherent complexity of these processes, traditional digital twin models often underperform. To address this issue, we propose integrating an advanced LSTM neural network to improve the diagnostic accuracy and efficiency of these models in real‐time applications. Initially, a digital twin model is constructed based on the physical model of oil and gas production processes, simulating the behavior of the real system. Surface data are employed to estimate well data, which is subsequently used to train the LSTM neural network. This trained neural network analyzes real‐time data collected from sensors installed in the physical system and updates the digital twin model accordingly. By comparing the behavior of the real system with that of the digital twin model, deviations can be identified, allowing for accurate diagnosis of the production state. Furthermore, the improved neural network optimizes the performance of the digital twin model by mitigating the impact of complex production processes, enhancing diagnostic accuracy and efficiency. The LSTM network is utilized to predict the future state of oil and gas production based on real‐time data from the same block or well during different periods, enabling deep integration of physical and information layer data, as well as self‐perception and self‐prediction capabilities. Results demonstrate that the proposed method effectively monitors and predicts the operational state of oil and gas production, providing critical data to improve production efficiency. The integration of digital twins and deep learning technology can enhance the intelligence of oil and gas production processes and offer theoretical support for the development of intelligent oil and gas fields in the future.","url":"https://doi.org/10.1155/ijap/6480113","authors":["Shuangshuang Ren","Xiangyang Zhang","Fei Shen","Longpeng Zhu","Jun Li","Dong Liang","Yuanhong Liu"],"tags":["Oil production","Deep learning","Production (economics)","Fusion","State (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1155/ijap/6480113","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4410214847","name":"A Systematic Literature Review on Integrating Machine Learning Algorithms and Metaheuristic Algorithms in Optimizing Sustainable Digital Architectural Design","source":"openalex","abstract":"This systematic literature review investigates how machine learning (ML) algorithms and metaheuristic methods have been integrated into sustainable digital architectural design optimization over the past two decades. The study analyzes 42 peer-reviewed publications, highlighting the critical role of these technologies in enhancing energy efficiency, structural optimization, and environmental sustainability. This review showcases the growing use of ML and metaheuristics to reshape traditional architectural practices by addressing multi-objective optimization models such as generative design and performance improvement. Furthermore, the review outlines the approaches taken in the study, focusing on algorithmic decision-making for material and energy consumption optimization. Despite the promising advancements, several limitations are outlined, including non-standardized procedures and limited applications in practice. The research calls for mixed-method procedures and empirical studies for the validation of algorithmic models in real architectural projects. Practical implications of this study include the potential for ML and metaheuristic algorithms to enhance design procedures, reduce environmental impact, and achieve higher energy conservation, which will result in more sustainable building solutions. Social implications are the broader use of such technologies with the aim to achieve sustainability goals within urban environments, make resource allocation more effective, and enhance occupant comfort. This review contributes to the literature by pointing out the need for standard methods and introducing these technologies into practice to have the maximum impact on sustainable design.","url":"https://doi.org/10.13189/cea.2025.130334","authors":["Rehab Salaheldin Ghoneim","Mazin Arabasy","Rana Abu Osbaa","Rasha Al Hamad"],"tags":["Algorithm","Metaheuristic","Computer science","Machine learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.13189/cea.2025.130334","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4311002407","name":"Application of Industrial Internet for Equipment Asset Management in Social Digitalization Platform Based on System Engineering Using Fuzzy DEMATEL-TOPSIS","source":"openalex","abstract":"In any industry, Equipment Asset Management (EAM) is at the core of the production activities. With the rapid development of Industrial Internet technologies and platforms, the EAM based on the Industrial Internet has become an important development trend. Meanwhile, the paradigm of EAM is changing, from a single machine to integrated systems, from the phase of using them to the end of their lifecycle, from breakdown maintenance to predictive maintenance, and from local decision-making to collaborative optimization. However, because of the lack of a unified understanding of the Industrial Internet platforms (IIPs) and the lack of a comprehensive reference architecture and detailed implementation framework, the implementation of EAM projects will face greater risks according to special needs in different industries. Based on the method of system engineering, this study proposes a general reference model and a reference architecture of implementation for the Industrial Internet Solution for Industrial Equipment Asset Management (I3EAM). Further, to help enterprise to evaluate and select their best-fit I3EAM scheme and platform partner, we proposed a set of performance indicators of I3EAM schemes and a quantitative decision-making method based on fuzzy DEMATEL-TOPSIS. Finally, a case study for an I3EAM in automated container terminals was conducted. In the multi-criteria decision environment with complex uncertainty, the project group identified the I3EAM metrics priorities and social digitalization platforms that were more in line with the actual needs of the automated container terminal and firms. The complexity and time of the decision-making process were dramatically reduced. In terms of feasibility and validity, the decision result was positively verified by the feedback from the enterprise implementation. The given model, architecture, and method in this study can create a certain reference value for various industrial enterprises to carry out the analysis and top-level planning of their I3EAM needs and choose the partner for co-implementation. In addition, the research results of this study have the potential to support the construction of standard systems and the planning and optimization of the cross-domain social platform, etc.","url":"https://doi.org/10.3390/machines10121137","authors":["Yuguang Bao","Xianyu Zhang","Tongtong Zhou","Zhihua Chen","Xinguo Ming"],"tags":["Asset management","TOPSIS","Asset (computer security)","The Internet","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-29","doi":"https://doi.org/10.3390/machines10121137","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7118135756","name":"RESEARCH PROGRESS AND CHALLENGES OF DIGITAL TWIN TECHNOLOGY IN THE FIELD OF AGRICULTURAL MACHINERY TOOL WEAR","source":"openalex","abstract":"With the acceleration of high-performance, green, and intelligent agricultural equipment, premature wear and failure of agricultural machinery tools became a key bottleneck that restricted the high-quality development of agricultural machinery and equipment. Digital twin technology provided innovative theoretical and technical support, which enabled the accurate prediction and evaluation of the wear performance of agricultural machinery tools under dynamic and complex working conditions. This paper explained the key elements of digital twin technology and summarized the development history of tool wear research, categorizing it into three stages: physical experiment-driven, numerical simulation, and digital twin integration. Additionally, it highlighted the progress made in agricultural machinery tools based on digital twin technology, particularly in data acquisition, modeling, and data-driven approaches. The paper also introduced a case study of a self-developed agricultural machinery tool wear performance test machine. However, it addressed the key challenges faced in the application of digital twin technology for monitoring agricultural machinery tool wear, including difficulties in data perception and fusion, insufficient accuracy in multi-physical field modeling, and inadequate real-time performance. Future research focused on developing accurate multi-physics field coupling models, optimizing data processing mechanisms, and creating intelligent analysis frameworks. Additionally, it aimed to promote low-cost and efficient digital twin solutions to enhance the intelligence level and feasibility of agricultural machinery tool wear monitoring.","url":"https://doi.org/10.35633/inmateh-77-88","authors":["Yan-jing ZHANG","Hua ZHAN","Jia-peng WU","Rui-Jun WANG"],"tags":["Bottleneck","Agricultural machinery","Field (mathematics)","Engineering","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.35633/inmateh-77-88","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4402096635","name":"DIGITAL TECHNOLOGIES IN THE FINANCIAL SECTOR OF THE ECONOMY","source":"openalex","abstract":"The article is devoted to the study of the main trends in the development of digital technologies in the financial sector of the economy, namely, the topic is relevant in the context of rapid globalization, digitalization and transition to digital ecosystems. The modern financial sector of the economy at different stages of its life cycle cannot function without the use of digital technologies. In addition, online activity, browsing social networks, and web pages, and using various applications are essential for civil society. The purpose of this paper is to study the changing impact of advanced technologies on digital security, as well as to substantiate the trends in the development of digital technologies in the financial sector of the economy.The article characterizes the risks arising from the digitalization of the economy - the results of the analysis show that the effective use of these factors can stimulate the competitiveness of financial institutions. The level of threat in data management is investigated, which should be taken into account when forecasting potential threats of digitalization in the financial sector of the economy, which allows the management of institutions to optimize: financial, human and technological resources for risk management and take measures to offset possible losses from cyber threats and restore the stable development of economic systems.The article identifies trends in the development of digital technologies in the financial sector of the economy that require detailed study and provide for the transition to a modern digital financial platform. This transition will not only strengthen the country's domestic market, increasing the level of independence from the import of foreign technologies but will also contribute to improving the global importance of the economy. Therefore, the use of digital technologies in the financial sector of the economy is of key importance, and effective financing in the new economic reality largely ensures the success of the country's socio-economic development.","url":"https://doi.org/10.55643/fcaptp.4.57.2024.4444","authors":["Valentyn Biliavskyi","Yuliia Biliavska","Yurii Umantsiv","Yaroslav Shestack","Олександр Журба","Артем Хаванов"],"tags":["Business","Financial sector","Digital economy","Finance","Financial system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-31","doi":"https://doi.org/10.55643/fcaptp.4.57.2024.4444","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7127986677","name":"The digital twin of the cyber-study enterprise: new methods for simulating the most complex attacks","source":"openalex","abstract":"The study investigates novel methods for modeling complex cyberattacks based on enterprise \"digital twin\" technology. The aim is to analyze the concept of a \"digital twin\" as a tool for cyber exercises, compare it with tradition-al cyber ranges, identify current cybersecurity challenges arising from the use of digital twins, and propose methods for addressing them. The research employs comparative analysis, problem systematization, and the design of architecture-oriented solutions based on technologies such as blockchain, swarm intelligence, adversarial attack defense methods, and approaches to verifiable AI explainability. Key advantages of digital twins over traditional cyber ranges have been identified, including dynamic synchronization, modeling accuracy, and predictive capabilities. Fundamental challenges have been systematized, encompassing issues of data reliability, integration, and telemetry processing, as well as new threat classes such as ensuring cyber resilience in \"swarms\" of interconnected digital twins and securing embedded artificial intelligence. To address these challenges, a comprehensive approach has been proposed, involving decentralized trust systems, collective defense mechanisms, multi-layered AI protection, and verifiable explainability systems. The proposed methods and architectural solutions enable a shift from reactive to proactive cybersecurity strategies, facilitate the creation of self-organizing defense systems, enhance trust in autonomous AI decisions, and lay the foundation for legally compliant auditing in critical infra-structures. The novelty of the work lies in the identification and in-depth analysis of new problem classes related to digital twin ecosystems (\"swarms\") and the security of integrated AI, as well as in the proposal of comprehensive, technology-driven solutions, which defines the direction for the development of next-generation cybersecurity systems.","url":"https://doi.org/10.36724/2664-066x-2025-11-5-18-27","authors":["MAI, Moscow, Russia","Victoria A. Zakharova","Anastasia Y. Kudryashova","MTUCI, Moscow, Russia"],"tags":["Computer security","Computer science","Adversarial system","Verifiable secret sharing","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.36724/2664-066x-2025-11-5-18-27","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7117472432","name":"What makes a digital human twin more than a simulation? A computational-ecological stance","source":"openalex","abstract":"Abstract The emergence of digital human twins (DHTs) raises questions not only of modeling fidelity but of operational coupling with the environment: the extent to which DHTs can independently perceive, decide, and learn within data-rich virtual environments (VEs). This paper challenges the mirror metaphor: DHTs need not merely reflect their human counterparts but can develop affordance-based perceptions of virtual surround. Building on Object Oriented Ontology (OOO), we treat DHTs as non-human digital objects only partially accessible through their interfaces. Extending affordance theory with Artifact–Artifact Affordance (AAA), we analyze interactions that are not centered on human perception. We present a typology of agent–environment couplings, and propose a conceptual Operational Autonomy Continuum (OAC) for DHTs, arguing for a synergy in which computational methods operationalize ecological (direct) coupling. Drawing on reinforcement-learning principles and law-governed affordance acquisition, we conceptualize how DHTs could transition from passive replicas to partially independent digital agents without exhaustive human programming. The contribution in this paper is conceptual and heuristic, and the example functions as a thought experiment. Our claims concern operational autonomy (means) rather than metaphysical agency (ends or personhood) and are VE-bounded without addressing transfer to physical contexts or questions of rights or moral status.","url":"https://doi.org/10.1007/s00146-025-02796-8","authors":["Dan Zhu","Waheedullah Sulaiman Khail"],"tags":["Affordance","Computer science","Operationalization","Autonomy","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.1007/s00146-025-02796-8","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7141554565","name":"AI and Dependency Graph–Based Digital Twins for Context-Aware 6G Robotic Networks","source":"openalex","abstract":"6G robotic networks demand highly context-aware and intelligent management to meet extreme performance requirements. These requirements become even more challenging with real-time control and autonomous decision-making scenarios of 6G robotic applications. However, traditional methods fail to provide context-awareness and enhanced cognitive capabilities to meet these requirements in a robotic network. Therefore, in this paper, we introduce a novel dependency graph-based Digital Twin (DT) framework to provide context-awareness and cognitive decision-making capabilities in robotic applications. In this framework, we design a Data Distribution Service (DDS)-based DT layer and a context-aware mediator layer, comprising a Global What-If Engine and an AutoML-based Decision Unit. The What-If Engine constructs four types of dependency graphs based on temporal, data, control, and performance-related information to represent relationships between robots, sensor inputs, and control triggers. Moreover, the AutoML-based Decision Unit selects the most successful algorithm based on the prediction error and scenario conditions. Experimental results demonstrate that our proposed framework provides real-time DT synchronisation under even high-density twin scenarios without computationally overloading the system. The proposed framework also achieves effective learning-based decision-making for regression and classification tasks in 6G robotic applications.","url":"https://doi.org/10.1109/mcomstd.2026.3672744","authors":["Kübra Duran","Mehmet Özdem","Kaushik Chowdhury","Berk Canberk"],"tags":["Artificial intelligence","Computer science","Dependency (UML)","Robotics","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/mcomstd.2026.3672744","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412641703","name":"A Systematic Review on Risk Management and Enhancing Reliability in Autonomous Vehicles","source":"openalex","abstract":"Autonomous vehicles (AVs) hold the potential to revolutionize transportation by improving safety, operational efficiency, and environmental impact. However, ensuring reliability and safety in real-world conditions remains a major challenge. Based on an in-depth examination of 33 peer-reviewed studies (2015–2025), this systematic review organizes advancements across five key domains: fault detection and diagnosis (FDD), collision avoidance and decision making, system reliability and resilience, validation and verification (V&V), and safety evaluation. It integrates both hardware- and software-level perspectives, with a focus on emerging techniques such as Bayesian behavior prediction, uncertainty-aware control, and set-based fault detection to enhance operational robustness. Despite these advances, this review identifies persistent challenges, including limited cross-layer fault modeling, lack of formal verification for learning-based components, and the scarcity of scenario-driven validation datasets. To address these gaps, this paper proposes future directions such as verifiable machine learning, unified fault propagation models, digital twin-based reliability frameworks, and cyber-physical threat modeling. This review offers a comprehensive reference for developing certifiable, context-aware, and fail-operational autonomous driving systems, contributing to the broader goal of ensuring safe and trustworthy AV deployment.","url":"https://doi.org/10.3390/machines13080646","authors":["Ali Mahmood","Róbert Szabolcsi"],"tags":["Reliability (semiconductor)","Risk analysis (engineering)","Reliability engineering","Risk management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-24","doi":"https://doi.org/10.3390/machines13080646","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4406686323","name":"Trends and Opportunities in Sustainable Manufacturing: A Systematic Review of Key Dimensions from 2019 to 2024","source":"openalex","abstract":"Purpose: This systematic literature review analyzes trends, key findings, and research opportunities in manufacturing sustainability from 2019 to 2024, with a focus on the integration of emerging technologies and socio-economic dimensions. Methodology: a systematic review of 181 publications was conducted, emphasizing technological advancements, research gaps, and the influence of global events on sustainable manufacturing. Findings: the review highlights: (1) a shift towards advanced technologies like AI-driven circular economy solutions, digital twins, and blockchain, which have demonstrated potential to reduce energy consumption by 30% and decrease material waste by 20%, significantly enhancing sustainability outcomes; (2) persistent gaps in addressing social, policy, and regulatory dimensions; (3) the role of the COVID-19 pandemic in accelerating digital transformation and reshaping sustainability priorities. Key findings also include PT Indocement achieving a cumulative 35% reduction in natural gas consumption through sustained optimization initiatives and a 12% increase in digital manufacturing adoption among SMEs in developing regions. Practical implications: strategic recommendations are provided for industry, policymakers, and academics to address regional disparities, ensuring a 50% increase in adoption rates of inclusive technologies within developing regions over the next five years, and align sustainability efforts with socio-economic contexts. Originality: this review presents a comprehensive analysis of current trends, actionable insights, and critical areas for future research, highlighting that organizations adopting AI and blockchain technologies report up to a 25% improvement in operational sustainability.","url":"https://doi.org/10.3390/su17020789","authors":["Antonius Setyadi","Sundari Soekotjo","Setyani Dwi Lestari","Suharno Pawirosumarto","Alana Damaris"],"tags":["Key (lock)","Business","Engineering","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-20","doi":"https://doi.org/10.3390/su17020789","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7144281674","name":"DIGITAL TWIN TECHNOLOGIES IN URBAN PLANNING: INTEGRATING GIS, DATA ANALYTICS, AND SIMULATION MODELING","source":"openalex","abstract":"Digital Twin (DT) technologies have emerged as transformative tools in modern urban planning, enabling real-time data integration, advanced simulation modeling, and predictive analytics. This study explores the integration of Geographic Information Systems (GIS), data analytics, and simulation frameworks in building dynamic, responsive digital twins for urban environments. By assessing case studies, implementation frameworks, and technology stacks, the paper highlights the effectiveness of DTs in addressing urban challenges such as traffic congestion, environmental monitoring, infrastructure maintenance, and spatial development. A comprehensive analysis of Pakistani urban centers is conducted, evaluating digital readiness and barriers to DT adoption. The findings underscore the critical role of interdisciplinary coordination, public-private partnerships, and robust ICT infrastructure in fostering intelligent urban development","url":"https://doi.org/10.71465/mrcis65","authors":["Muhammad Arif Raza"],"tags":["Transformative learning","Information and Communications Technology","Computer science","Data science","Geographic information system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-05","doi":"https://doi.org/10.71465/mrcis65","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7117369746","name":"An Integrated Digital Twin Framework for Maritime Mathematics: Navigation, Engineering, Logistics, and Risk Assessment","source":"openalex","abstract":"Mathematics has historically been integral to shipping, from its early use in celestial navigation to contemporary applications in computational fluid dynamics, stochastic optimization, and reliability models. It enhances the sustainability, durability, and efficiency of shipping. This review commences with navigation, which has traditionally been facilitated by spherical trigonometry and logarithmic tables. Currently, navigation relies on nonlinear algebraic systems and Kalman filtering within GPS and AIS technologies. In marine engineering, hydrodynamics, hull optimization, and structural reliability under wave loading are underpinned by differential equations, eigenvalue stability analysis, and finite element methods. Optimization methodologies, including queueing models for port efficiency, linear programming for fleet allocation, and graph theory for routing, are increasingly vital in maritime logistics. Applications in safety and sustainability utilize convex optimization for fuel efficiency and emission mitigation, extreme value theory for wave modeling, Bayesian risk assessment, and probability theory. The primary contribution of the study is an integrated digital twin framework that consolidates mathematical models from risk, engineering, navigation, and logistics into a unified predictive and adaptive architecture. The framework facilitates predictive simulation, real-time optimization, and risk-informed decision-making by integrating real-time physical data (sensors, GPS, AIS, and environmental monitoring) with a mathematical foundation comprising deterministic and stochastic models. The proposed DT facilitates cross-domain integration, endorses autonomous decision-making systems, and propels the transition to sustainable maritime operations, unlike traditional methods that compartmentalize mathematical applications by domain. The integration of mathematical rigor with digital twin architecture positions mathematics as a transformative catalyst for next-generation maritime innovation, rather than merely a descriptive instrument.","url":"https://doi.org/10.58771/joinmet.1789608","authors":["Engin Can"],"tags":["Computer science","Mathematical optimization","Probabilistic logic","Operations research","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-27","doi":"https://doi.org/10.58771/joinmet.1789608","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414679242","name":"Digital Twin-Driven Environmental Compliance Models for Sustainable Procurement in Oil, Gas, and Utilities","source":"openalex","abstract":"This review investigates the role of digital twin technology in enhancing environmental compliance within sustainable procurement systems across the oil, gas, and utilities sectors. As industries face increasing regulatory scrutiny and the need to align operations with environmental, social, and governance (ESG) goals, digital twins offer a promising approach to simulate, monitor, and optimize procurement practices in real time. This paper explores how virtual replicas of physical assets and processes can enable real-time tracking of environmental performance, automate compliance with regulatory thresholds, and facilitate lifecycle analysis of supplier operations. By integrating data analytics, IoT sensors, and AI algorithms within a digital twin ecosystem, organizations can proactively identify non-compliance risks, reduce resource wastage, and enhance transparency across the procurement lifecycle. Furthermore, the paper examines implementation frameworks, adoption challenges, and the strategic value of these systems in driving sustainability-led procurement decisions. Through a structured synthesis of current innovations and future research trajectories, this study provides a roadmap for operationalizing digital twins in environmental compliance across resource-intensive industries.","url":"https://doi.org/10.62225/2583049x.2025.5.5.4960","authors":["Patience Ndidi Ike","Joshua Seluese Okojie","Stephanie Blessing Nnabueze","Jerome Onoja Okojokwu Idu","Opeyemi Morenike Filani","Sadat Itohan Ihwughwavwe"],"tags":["Procurement","Business","Operationalization","Transparency (behavior)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-20","doi":"https://doi.org/10.62225/2583049x.2025.5.5.4960","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4390049501","name":"A Model-Based Approach Towards the Conceptualization of Digital Twins: The Case of the EU-Project COGITO","source":"openalex","abstract":"In agile business ecosystems, digitalization is a key enabler for agility and flexibility. However, digital transformation is often challenging for instance due to unclear definitions and a lack of problem understanding. In this work this complexity is addressed with a model-based approach for conceptualizing digitalization and related meta modelling activities to enable the conceptual integration of diverse concepts. Existing modelling approaches – BPMN and ArchiMate – are leveraged with domain specific considerations that are relevant for the digitalization. The construction use case from the European project COGITO serves as a foundation for ideation and first requirements engineering. Physical experiments in the OMiLAB Innovation Environment are used as an experimental method towards identifying relevant digital twinning concepts, while modelling methods can be seen as an integration platform for physical and digital elements. Key digitalization aspects towards digital twinning are discussed and conceptualized in a meta model.","url":"https://doi.org/10.62036/isd.2023.5","authors":["Anna Sumereder","Patrik Burzynski","Dimitris Karagiannis","Robert Woitsch"],"tags":["Computer science","Agile software development","Conceptualization","Metamodeling","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-05","doi":"https://doi.org/10.62036/isd.2023.5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7128719370","name":"3D Semantic Digital Twins: Data Streams and Ontologies for Risk Prediction in Heritage Contexts","source":"openalex","abstract":"Abstract. Sensor data are core for real-time monitoring in heritage contexts, allowing to ground the synchronization between the real asset and its Digital Twin (DT). Such synchronization can then be leveraged to perform risk prediction with a time aware reasoning process, which can be crucial for heritage prevention. Nonetheless, sensor data by itself lack both geometrical and semantic information which can also be pivotal in spotting such incipient degradations. For this reason, mature DT approaches need to tie these three main sources of knowledge and to conduct temporal reasoning in a form which can consider them altogether. This paper extends the 3DOnt Framework, originally designed to link geometries and semantics, by integrating sensor data streams and enabling time-aware reasoning over live updates, thus turning it into a Semantic-Geometric Digital Twins framework. The extension includes an expansion of the 3DOnt backbone ontology to manage sensor data alongside raster-encoded and other static information, to model sensors as individuals within the 3D Graph and to link them to the macro-objects they monitor. Furthermore, 3DOnt’s reasoning processes are enhanced to exploit dynamic sensor inputs, incorporating the temporal persistence of risk factors in prediction tasks. This extension is evaluated on the 3D Graph of a portion of Centro Culturale Santa Chiara, in Trento (Italy). With historical records simulating dynamic sensor data streams concerning temperature and humidity, we integrate this numerical information with semantic-geometric one encoded in the 3D Graph (i.e., proximity to windows, proximity to floors) to perform risk prediction assessing the formation of dew, which is often an early warning for more severe issues like indoor leaching or biological growth. More information about the 3DOnt Framework is available at: https://3dom.fbk.eu/projects/3DOnt.","url":"https://doi.org/10.5194/isprs-archives-xlviii-2-w12-2026-105-2026","authors":["Matteo Codiglione","Fabio Remondino"],"tags":["Computer science","Exploit","Data mining","Graph","Ontology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-12","doi":"https://doi.org/10.5194/isprs-archives-xlviii-2-w12-2026-105-2026","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413099352","name":"Rethinking traffic prediction in Mobile Network Digital Twins: A flexible inductive graph-based learning model for data-scarce scenarios","source":"openalex","abstract":"Network Digital Twins (NDTs) are increasingly relying on data-driven approaches for modeling complex network dynamics. Traffic forecasting is crucial for NDTs to provide timely insights for automated network reconfiguration. Existing spatiotemporal forecasting methods, while effective, often rely on pre-constructed graphs, limiting their flexibility in dynamic network environments. This paper introduces Flex+ , an inductive graph-based learning model designed for traffic prediction in data-scarce scenarios. Flex+ focuses on individual eNodeB traffic prediction by extracting local spatial correlations from k-hop subgraphs, combined with temporal information. Its inductive design allows it to operate on unseen nodes during training, enabling adaptability to evolving network topologies. Empirical studies on a large-scale cellular traffic dataset demonstrate that Flex+ achieves a 5.9% improvement in accuracy in inductive settings and a 22% reduction in error in data-scarce scenarios when trained with only 3 days of traffic data. Notably, a Knowledge Distillation (KD) framework is introduced to reduce model size and accelerate inference time up to 10 times while maintaining prediction accuracy.","url":"https://doi.org/10.1016/j.comnet.2025.111569","authors":["Duc-Thinh Ngo","Ons Aouedi","Kandaraj Piamrat","Thomas Hassan","Philippe Raipin"],"tags":["Computer science","Graph","Artificial intelligence","Machine learning","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-28","doi":"https://doi.org/10.1016/j.comnet.2025.111569","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414778735","name":"Novel multiagent reinforcement learning framework using twin delayed deep deterministic policy gradient for adaptive PID control in boiler turbine systems","source":"openalex","abstract":"The latest developments in industrial control applications emphasize the need for incorporating intelligent algorithms for enhanced adaptability and performance. This study addresses the challenge of controlling a nonlinear, multivariable Boiler-Turbine System (BTS), which exhibits strong interactions, non-minimum phase behavior, and instability due to the integrating nature of water level dynamics. Traditional PID tuning methods often fail to manage such complexities effectively. In this work, a reinforcement learning (RL)-based approach is proposed using the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm for adaptive PID tuning. Specifically, two novel multi-agent TD3 algorithms are introduced: Shared-Critic Multi-Agent (SCMA-TD3) and Individual-Critic Multi-Agent (ICMA-TD3). These architectures explore the use of shared versus independent critic networks, with varying actor-critic depths, to improve learning efficiency and control accuracy. The BTS control problem is meticulously modelled as an RL task, and the performance of SCMA-TD3, ICMA-TD3, and standard DDPG is compared for PID tuning under standard step signals and different disturbance scenarios. The findings highlight the capability of SCMA-TD3, ICMA-TD3 and DDPG algorithms to minimize oscillations and reduce settling time, while simultaneously enhancing efficiency and stability in BTS both qualitatively and quantitatively for the characteristics namely drum pressure, electric power and drum water level. The stability analysis of the BTS is conducted based on the computation of error metrics such as Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Absolute Error (IAE). The ICMA-TD3 method demonstrates superior performance in control applications, achieving a 99.33% and 99.76% reduction in ITAE for electric power and drum water level control, respectively, compared to SCMA-TD3 and DDPG in BTS control. Additionally, ICMA-TD3 exhibits a 91.40% faster rise time and an 84.37% reduction in overshoot for electric power control. In the case of drum pressure regulation, while ICMA-TD3 achieves a 99.866% lower ITAE than SCMA-TD3, it experiences greater overshoot compared to SCMA-TD3. Furthermore, DDPG, despite its implementation, incurs a high cost function, along with excessive rise time and overshoot, making it the least effective approach for precise control applications. These results demonstrate that the proposed multi-agent TD3 frameworks offer a robust and adaptive solution for complex industrial control systems like BTS.","url":"https://doi.org/10.1038/s41598-025-17928-9","authors":["U. Kruthika","Surekha Paneerselvam"],"tags":["Reinforcement learning","PID controller","Computer science","Settling time","Control theory (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-03","doi":"https://doi.org/10.1038/s41598-025-17928-9","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4327696245","name":"News Reporting in Drone Internet of Things Digital Journalism","source":"openalex","abstract":"The current study investigated several innovations for drone technology adoption in journalistic expeditions for intelligence and news gathering purposes. The necessity to leverage technologies to improve the direct involvement of eyewitnesses especially in violence-prone areas where physical and direct human involvement would be impossible or with high risk of survivability expectations is the motivating factor that directed the current research. The paper surveys the adoption of autonomous sensing drone systems in internet of things journalism and amalgamated the theoretic ingredients from the academic standpoint with realistic technological advancements from the global perspective and eventually expanded the propositions for conceivable adoption in the credible societal applications. The paper envisioned the future journalism and mass media practices and how drone innovation can revolutionize the journalism profession for the purpose of news and intelligence gathering with practical and technical realism with reduction of journalistic casualties.","url":"https://doi.org/10.4018/ijicst.320181","authors":["Andrew Chinonso Nwanakwaugwu","Ugochukwu Okwudili Matthew","Ogobuchi Daniel Okey","Jazuli Sanusi Kazaure","Ubochi Chibueze Nwamouh"],"tags":["Drone","Journalism","The Internet","Leverage (statistics)","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-17","doi":"https://doi.org/10.4018/ijicst.320181","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7139988822","name":"Towards mechanisms-driven strategy for persistent atrial fibrillation ablation: Leveraging digital twins","source":"openalex","abstract":"Atrial fibrillation (AF) is the most common sustained arrhythmia, affecting 1-2% of the global population, and is a major cause of stroke and heart failure. With the population aging, its prevalence is expected to increase further, imposing a growing burden on healthcare systems. However, the gold standard treatment-pulmonary vein isolation with catheter ablation that primarily prevents pulmonary vein triggers from initiating fibrillatory conduction-has limited efficacy in the persistent form of AF (PsAF), which is characterized by atrial fibrotic remodeling. Thus far, numerous intra-atrial electrogram-based mapping approaches have been developed to identify PsAF arrhythmogenic substrate locations capable of attracting reentries (LRs) and guide substrate modification in clinical practice; however, their clinical effectiveness remains controversial and the optimal ablation strategy remains unclear. Furthermore, extensive substrate ablation may adversely affect patients post-ablation due to scar-related atrial tachycardia or impaired atrial function despite successful AF control. Recently, personalized heart digital twins (DTs) have emerged as a promising technology for precision medicine, enabling non-invasive patient-specific reconstruction of cardiac electrical activity using clinical imaging and electrophysiological data. Personalized DTs allow investigation of patient-specific electrophysiological behavior, prediction of arrhythmia inducibility, and identification of arrhythmogenic substrates pre-procedurally. In this review, we summarize the mechanisms underlying PsAF maintenance, current limitations of PsAF ablation therapy, and recent advances in DT technology, highlighting its potential to facilitate mechanism-driven, personalized ablation planning and improve PsAF patient care.","url":"https://doi.org/10.1016/j.premed.2026.100036","authors":["Kensuke Sakata","Natalia A. Trayanova"],"tags":["Medicine","Internal medicine","Cardiology","Atrial fibrillation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-21","doi":"https://doi.org/10.1016/j.premed.2026.100036","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4417484021","name":"Research and Application Progress of Human Motion Digital Twin for Human-centric Smart Manufacturing","source":"openalex","abstract":"摘要： 在工业4.0迈向工业5.0的过程中，以人为本的智能制造(人本智造)是智能制造的创新发展范式，旨在以人的福祉为核心价值，重塑人在生产制造过程中的主体地位，推进未来工业迈向以人为本、可持续性、韧性。对人体运动行为进行分析，是理解人的运动意图，推动人本智造创新发展的关键。以面向人本智造的人体运动数字孪生研究为切入点，梳理人体运动建模、人体运动感知、人体运动分析等使能技术及其研究进展。重点围绕单元级、产线级、车间级三个维度，讨论人体运动数字孪生在人本智造领域的典型应用。最后，对面向人本智造的人体运动数字孪生进行展望。","url":"https://doi.org/10.3901/jme.2025.15.021","authors":["WANG Baicun","SONG Ci","YUAN Yixiu","ZHOU Huiying","BAO Jinsong","HUANG Sihan","LIU Weiran","LIU Tingyu","RUAN Bing","TAO Fei","XIE Haibo","YANG Huayong"],"tags":["Smart manufacturing","Human motion","Computer science","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.3901/jme.2025.15.021","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4410238342","name":"An innovation intermediary’s role in enhancing absorptive capacity for cross-industry digital innovation: Introducing an awareness capability and new intermediary practices","source":"openalex","abstract":"Emerging digital technologies enable the combination of data from different industries to create new innovation opportunities. Many firms, particularly those with underdeveloped absorptive capacity, rely on innovation intermediaries to facilitate this process. However, current theory does not fully explain how intermediaries achieve this in cross-industry settings where digital technologies drive innovation. This study investigates the question: How does an innovation intermediary contribute to the absorptive capacity of firms that collaborate in cross-industry contexts to develop digital innovations? This research examines how one intermediary enhances absorptive capacity for cross-industry digital innovation. We provide a definition for cross-industry digital innovation, a concept previously undefined in the literature. Results show the intermediary develops potential absorptive capacity but has less impact in the exploitation phase. The concept of “awareness capability,” which triggers firms’ search for new knowledge, is introduced. Additionally, specific practices of intermediaries are identified for each absorptive capacity phase.","url":"https://doi.org/10.1016/j.jbusres.2025.115426","authors":["Andrea Kerstens","David Langley"],"tags":["Absorptive capacity","Business","Intermediary","Industrial organization","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-09","doi":"https://doi.org/10.1016/j.jbusres.2025.115426","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4417438860","name":"Earth Action in Transition: Highlights From the 2025 ESA–NASA International Workshop on AI Foundation Models for EO [Space-Agencies]","source":"openalex","abstract":"Over 850 people joined the first International Workshop on AI Foundation Model (FM) for Earth Observation (EO) co-organized by ESA and NASA 5-7 May 2025. Hosted at ESRIN (ESA’s Earth Observation Center, Italy), the event welcomed around 300 people on site, and an additional 550 online, with the promise that FMs can revolutionize EO and Earth sciences. The workshop marked a pivotal moment in aligning the EO and FM communities, fostering a shared commitment to developing open and trustworthy tools that support science discovery, operational applications, and prescriptive analytics. EO data is massive, complex and high dimensional requiring specific yet scalable AI architectures. The workshop emphasized the need for training and architecture enabling interpretability, explainability, and physical consistency. Coordination should be strengthened to minimize redundant development and to better leverage collective expertise. The focus has shifted from prototyping to real-world deployment, with FMs needing further design for integration into digital twins, dashboards, and edge platforms. Transparent benchmarking and user-driven evaluation are key to guiding model development and decision-making. In addition, parameter-efficient adaptation, neural compression, and embedding-based workflows offer promising paths for scaling EO analytics. While FMs show promise, their effectiveness remains context-dependent. The community debated whether to pursue universal models, specialized solutions, or mixtures of experts. The workshop envisioned the future of agentic AI in EO, with multi-agent system powered by EO FMs and vision-language models, that can dynamically reason and act on EO data. This shift from static pipelines to adaptive, smarter systems could redefine the future of EO. This paper summarizes key discussions and concludes with thought-provoking remarks.","url":"https://doi.org/10.1109/mgrs.2025.3592035","authors":["Nicolas Longépé","Hamed Alemohammad","Anca Anghelea","Thomas Brunschwiler","Gustau Camps‐Valls","Gabriele Cavallaro","Jocelyn Chanussot","Jose Manuel Delgado","Begüm Demir","Nikolaos Dionelis","Paolo Fraccaro","Anna Jungbluth","Robert E. Kennedy","Valerio Marsocci","Muthukumaran Ramasubramanian","Raúl Ramos-Pollán","Sujit Roy","Gencer Sümbül","Devis Tuia","Xiao Xiang Zhu","Rahul Ramachandran"],"tags":["Workflow","Engineering","Trustworthiness","Leverage (statistics)","Earth observation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1109/mgrs.2025.3592035","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409588175","name":"A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters","source":"openalex","abstract":"The integration of Digital Twins into energy systems is redefining asset management by enabling real-time monitoring, predictive maintenance, and lifecycle optimization. A central challenge in this context is the structured assessment of asset condition, where the Asset Health Index (AHI) plays a critical role by consolidating heterogeneous data into a single, actionable indicator. This paper presents a structured data model specifically designed to integrate AHI methodologies into Digital Twins for energy converters. The model incorporates standardized practices like RAMI 4.0, organizing asset-related information into interoperable domains including physical hierarchy, operational monitoring, reliability assessment, and risk-based decision-making. A Unified Modeling Language (UML) class diagram formalizes the model architecture, which is deployed on Microsoft Azure using native IoT and analytics services to enable automated AHI calculation. The proposed approach is validated through a case study involving three high-capacity converters in distinct operating environments, demonstrating the model’s effectiveness in anticipating failures, optimizing maintenance strategies, and improving asset resilience. These results support the implementation of scalable, cloud-based digital twin solutions for advanced asset health management in the energy sector.","url":"https://doi.org/10.20944/preprints202504.1152.v1","authors":["Juan F. Gómez Fernández","Eduardo Candón Fernández","Adolfo Crespo Márquez"],"tags":["Converters","Index (typography)","Asset (computer security)","Energy (signal processing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-15","doi":"https://doi.org/10.20944/preprints202504.1152.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414136678","name":"Precision cancer medicine 2025: some concerns","source":"openalex","abstract":"In the evolving landscape of oncology the concept of 'precision cancer medicine' (PCM) stands as one of the most promising frontiers.By tailoring treatment to the unique genetic and molecular profile of each patient's tumor, PCM offers a vision of cancer treatment that is more effective, less toxic, and personalized [1].However, the reality is that at present only a minority of patients currently benefit from genomics-guided PCM [2].Many tumors lack actionable mutations and even when targets are identified, inherent or acquired treatment resistance is often observed.Thus, some concerns about PCM in its current state deserve discussion.One is the simple issue of the concepts used and that may impact on our way of thinking.PCM as a concept was established approximately a decade ago but one should bear in mind the fact that modern oncology, starting with the introduction of cytotoxic drugs in the 1950s, actually already applied a kind of 'precision' from the beginning.Based on preclinical research and clinical observations, drug effects were found associated to and thus guided by, for example cancer diagnosis, disease stage, patient performance status, and comorbidity.Such general and simple 'biomarkers' formed a basis for an early version of PCM, although most oncologists would rather denote this 'empirical cancer medicine' .The rapidly expanded knowledge in cancer biology and access to large scale methods for genomic analysis have now made it possible to establish a great number of drug-genomic biomarker relationships that open for more advanced PCM.Thus, molecular characterization of the patient's tumor sometimes allow us to abstain a treatment that will not work or chose a treatment that, on a group level and to various degrees, will increase the probability of benefit [3].This, of course, is progress but hardly deserves the concept 'precision' .PCM at its present stage is rather suggested to be regarded and conceptualized as 'stratified cancer medicine' .Another concern relates to the fact that PCM is currently strongly focused on genomics with much less interest to investigate and apply other biomarkers to guide cancer treatment for improved efficacy.Although large-scale analysis of the tumor genome as a basis for treatment selection is promising indeed, it should be reminded that there are a","url":"https://doi.org/10.2340/1651-226x.2025.44604","authors":["Peter Nygren"],"tags":["Medicine","Precision medicine","Cancer Medicine","Personalized medicine","Cancer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-11","doi":"https://doi.org/10.2340/1651-226x.2025.44604","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7130514284","name":"An Anomaly‐Enhanced Digital Twin (AEDT) Model for Intelligent Inspection and Management of Civil Infrastructure","source":"openalex","abstract":"The increasing frequency of extreme climate events poses significant risks to slope infrastructure, while traditional inspection methods are often inefficient and unsafe. Although unmanned aerial vehicles (UAVs) combined with structure‐from‐motion (SfM) provide high‐fidelity 3D models, they lack the semantic understanding necessary for automated damage assessment. This study addresses this gap by developing and validating an anomaly‐enhanced digital twin (AEDT) framework. The proposed system integrates multiview UAV imagery, SfM‐based 3D reconstruction, and a convolutional neural network (CNN) for automated anomaly classification. This information is then fused into an interactive, geographic information system (GIS)‐compatible DT platform for lifecycle management. A case study on a soil and water conservation (SWC) structure in central Taiwan was conducted for verification. The deep learning module achieved a macroaverage F1‐score of 0.81, demonstrating balanced performance across erosion, spalling, siltation, and collapse classes. This was validated on a held‐out test set derived from a total of 2000 annotated images spanning four anomaly types with three severity levels. Furthermore, the AEDT‐based workflow reduced on‐site inspection time by ~63% compared to conventional manual methods. The resulting AEDT model provides a dynamic, semantically enriched 3D representation of the infrastructure, linking geometric data with damage attributes and historical maintenance records. This research demonstrates a feasible and scalable solution for intelligent infrastructure monitoring, offering a robust tool for enhancing climate resilience and enabling proactive asset management.","url":"https://doi.org/10.1155/adce/2063316","authors":["Nai-Hsin Pan","Bo-Yuan Chang","Kuei-Yen Chen"],"tags":["Workflow","Computer science","Resilience (materials science)","Scalability","Convolutional neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1155/adce/2063316","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4387333459","name":"Digital justice delivery in Zimbabwe: Integrated electronic case management system adoption","source":"openalex","abstract":"Background: Judiciary institutions are transforming their operations from analogue to digital intending to expedite justice delivery globally. In Zimbabwe, the Judicial Service Commission (JCS) adopted the Integrated Electronic Case Management System (IECMS) in February 2022 as an online platform designed to digitalise the litigation process. However, the anticipated benefits, potential challenges and prospects of the IECMS as a digital justice delivery innovation in Zimbabwe are yet to be evaluated. Objectives: The purpose of this article is to evaluate Zimbabwe’s IECMS with the view to establishing its viability in bringing expediency in justice delivery by the country’s courts. Method: The study employs a qualitative desk research methodology to collect data from secondary sources such as research papers and newspaper articles focusing on the implementation of the IECMS in Zimbabwe. Data were analysed using qualitative content analysis. Results: The findings of this study revealed that the IECMS has the potential to revamp the judiciary in Zimbabwe. However, its successful implementation in courts could be challenged by resistance to change, technological resource constraints, the lack of public awareness, technological illiteracy by users and poor Internet connectivity in Zimbabwe. Conclusion: The study concludes that while the IECMS seems to be a major transformation in the judicial sector in Zimbabwe, its successful adoption must be preceded by investments in technology to ensure uninterrupted Internet connectivity by litigants and their representatives. Contribution: This article provides a critical appraisal of the viability of adopting digitalisation in the judiciary in the context of developing countries.","url":"https://doi.org/10.4102/sajim.v25i1.1695","authors":["Leon Poshai","Shikha Vyas-Doorgapersad"],"tags":["Economic Justice","Context (archaeology)","Redress","Business","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-26","doi":"https://doi.org/10.4102/sajim.v25i1.1695","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7116777914","name":"MetaD-DT: A Reference Architecture Enabling Digital Twin Development for Complex Engineering Equipment","source":"openalex","abstract":"Digital twin technology is emerging as a critical enabler for the lifecycle management of complex engineering equipment, yet its implementation faces significant hurdles. Generic, one-size-fits-all digital twin platforms often fail to address the unique characteristics of this domain—such as tightly coupled multi-physics, high-fidelity modeling requirements, and the need for real-time model execution under harsh operating conditions. This creates a critical need for a structured, reusable blueprint. However, a dedicated reference architecture that systematically guides the development of such specialized digital twins is notably absent. To bridge this gap, this paper proposes MetaD-DT, a reference architecture designed to enable and streamline the development of digital twins specifically for complex engineering equipment. We detail its comprehensive four-layer architecture, core functional modules, and streamlined graphical development workflow. The MetaD-DT’s efficacy and practical value are validated through two distinct industrial case studies: a health management system for diesel engine Diesel Particulate Filter (DPF) and an intelligent control optimization system for Indirect Air-Cooled (IAC) towers. These applications validate the framework’s ability to support the creation of robust digital twins that can effectively handle complex industrial dynamics and improve O&M (Operation And Maintenance) efficiency. This work provides a systematic architectural blueprint for the future development of specialized and efficient digital twins in the engineering equipment domain.","url":"https://doi.org/10.3390/electronics15010038","authors":["Hanyu Gao","Feng Wang","Taoping Zhao","Yi Gu"],"tags":["Systems engineering","Blueprint","Architecture","Engineering","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/electronics15010038","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4226256344","name":"Cyber-Physical Systems in the Context of Industry 4.0: A Review, Categorization and Outlook","source":"openalex","abstract":"Abstract Cyber-physical systems (CPS) offer great potential for the digital transformation of industrial value creation in the context of Industry 4.0. They unify and integrate several technological approaches, including big data analysis and artificial intelligence, enhancing real-time monitoring and control of manufacturing processes. An extensive knowledge base formed by various disciplines, including information systems, engineering, and computer science, already exists for CPS. However, this knowledge has not been holistically captured and structured to date. To address this research gap, this study conducts a large-scale literature review of 2365 papers representing the current state of the research and then develops a novel categorization on industrial CPS with 10 sections, 32 areas, and 246 fields. The categorization is presented in hierarchical graphical form and can also be utilized as a web tool. To conclude, a perspective on future research needs and potentials to enhance Industry 4.0 in both research and practice are offered.","url":"https://doi.org/10.1007/s10796-022-10252-x","authors":["Sascha Julian Oks","Max Jalowski","Michael Lechner","Stefan Mirschberger","Marion Merklein","Birgit Vogel‐Heuser","Kathrin M. Möslein"],"tags":["Categorization","Data science","Computer science","Cyber-physical system","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-06","doi":"https://doi.org/10.1007/s10796-022-10252-x","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4285732688","name":"Key Initiatives for Digital Transformation, Green New Deal and Recovery after COVID-19 within the Construction Industry in Korea","source":"openalex","abstract":"The low productivity of the construction industry has been identified as a chronic problem, and this has been exacerbated by recent environmental factors, including COVID-19 and climate change. As a response to these environmental changes, policies related to recovery after COVID-19, digital transformation, and the Green New Deal have been established worldwide, and related projects have been launched. These three issues may seem to have different goals but they are interrelated, and guidelines for the direction of the construction industry should be outlined. In this study, key initiatives that need to be prioritized to successfully achieve the goals of the three issues are identified. Based on these, strategic directions and mid- to long-term measures to address environmental changes are suggested. This study surveys the perceptions of construction experts to establish the key initiatives via the analytic hierarchy process method, and their expected utility was evaluated. This study is significant in that it analyzes how construction experts perceive environmental changes and contributes to the development of the construction industry by identifying key initiatives that should be undertaken.","url":"https://doi.org/10.3390/su14148726","authors":["Siyeon Kim","Meesung Lee","Ilhan Yu","JeongWook Son"],"tags":["Key (lock)","Process (computing)","Coronavirus disease 2019 (COVID-19)","Business","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-16","doi":"https://doi.org/10.3390/su14148726","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414586233","name":"Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach","source":"openalex","abstract":"The explosion in artificial intelligence (AI) applications is pushing the development of AI-dedicated data centers (AIDCs), creating management challenges that traditional methods and standalone AI solutions struggle to address. While digital twins are beneficial for AI-based design validation and operational optimization, current AI methods for their creation face limitations. Specifically, physical AI (PhyAI) aims to capture the underlying physical laws, which demands extensive, case-specific customization, and generative AI (GenAI) can produce inaccurate or hallucinated results. We propose Fusion Intelligence, a novel framework synergizing GenAI's automation with PhyAI's domain grounding. In this dual-agent collaboration, GenAI interprets natural language prompts to generate tokenized AIDC digital twins. Subsequently, PhyAI optimizes these generated twins by enforcing physical constraints and assimilating real-time data. Case studies demonstrate the advantages of our framework in automating the creation and validation of AIDC digital twins. These twins deliver predictive analytics to support power usage effectiveness (PUE) optimization in the design stage. With operational data collected, the digital twin accuracy is further improved compared with pure physics-based models developed by human experts. Fusion Intelligence offers a promising pathway to accelerate digital transformation. It enables more reliable and efficient AI-driven digital transformation for a broad range of mission-critical infrastructures.","url":"https://doi.org/10.1109/mci.2026.3712276","authors":["Ruihang Wang","M. H. Li","Zhiwei Cao","Jimin Jia","Yonggang Wen"],"tags":["Computer science","Artificial intelligence","Sensor fusion","Automation","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/mci.2026.3712276","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4221079563","name":"Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review","source":"openalex","abstract":"The 21st century has seen rapid changes in technology, industry, and social patterns. Most industries have moved towards automation, and human intervention has decreased, which has led to a revolution in industries, named the fourth industrial revolution (Industry 4.0). Industry 4.0 or the fourth industrial revolution (IR 4.0) relies heavily on the Internet of Things (IoT) and wireless sensor networks (WSN). IoT and WSN are used in various control systems, including environmental monitoring, home automation, and chemical/biological attack detection. IoT devices and applications are used to process extracted data from WSN devices and transmit them to remote locations. This systematic literature review offers a wide range of information on Industry 4.0, finds research gaps, and recommends future directions. Seven research questions are addressed in this article: (i) What are the contributions of WSN in IR 4.0? (ii) What are the contributions of IoT in IR 4.0? (iii) What are the types of WSN coverage areas for IR 4.0? (iv) What are the major types of network intruders in WSN and IoT systems? (v) What are the prominent network security attacks in WSN and IoT? (vi) What are the significant issues in IoT and WSN frameworks? and (vii) What are the limitations and research gaps in the existing work? This study mainly focuses on research solutions and new techniques to automate Industry 4.0. In this research, we analyzed over 130 articles from 2014 until 2021. This paper covers several aspects of Industry 4.0, from the designing phase to security needs, from the deployment stage to the classification of the network, the difficulties, challenges, and future directions.","url":"https://doi.org/10.3390/s22062087","authors":["Mamoona Majid","Shaista Habib","Abdul Rehman Javed","Muhammad Rizwan","Gautam Srivastava","Thippa Reddy Gadekallu","Jerry Chun‐Wei Lin"],"tags":["Wireless sensor network","Internet of Things","Automation","Computer science","Industrial Revolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-08","doi":"https://doi.org/10.3390/s22062087","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4286705839","name":"Supply Chain Digital Transformation","source":"openalex","abstract":"In the context of the 4.0 revolution and the 2-years of pandemic, many companies are reassessing their supply chains, in order to ensure their survival and increase their agility and flexibility. For this purpose, the digital supply chain is a key concept, to which managers are giving more and more importance. A digital supply chain can add more resilience to the logistic activities, as it offers more instruments for visibility, control and forecasting. The purpose of this paper is to identify the new technologies applied in the management of the supply chain, highlight their importance and research about the extent to which Romanian companies have planned/implemented a SC digital transformation. Our study is based on both theoretical and empirical research that investigates the degree of digitization of SC (supply chain) in the case of Romanian companies. A survey was sent to employees and managers working in companies operating on the Romanian market and we had 31 valid responses. While the sample is not considered representative for the Romanian economy, we can draw some conclusions about the degree of use of new technologies in supply chain management activities. The results show that most companies from Romania that were included in the study are in early stages of SC digitization. This research is addressed to both academics and practitioners in the field of SCM (supply chain management), as it can be useful for a better understanding of how the implementation of new technologies in SC activities can lead to an increase of business performance, as many previous studies suggest.","url":"https://doi.org/10.24818/basiq/2022/08/079","authors":["Ramna Iulia Dieaconescu","Mihaela Gabriela Belu","Dorel Paraschiv","Cosmin Silviu Raul Joldeș"],"tags":["Supply chain","Digitization","Business","Supply chain management","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-27","doi":"https://doi.org/10.24818/basiq/2022/08/079","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7149607032","name":"A Digital Twin Framework for Bridge Structural Health Monitoring with Physics-Informed Graph Networks","source":"openalex","abstract":"The aging of global infrastructure necessitates advanced methodologies for real-time Structural Health Monitoring (SHM) to ensure public safety and optimize maintenance schedules. Digital Twin technology, characterized by the seamless integration of physical assets and their virtual replicas, offers a transformative approach to predictive maintenance. However, traditional data-driven models for Digital Twins often suffer from poor generalization in data-scarce regimes, while high-fidelity finite element models are computationally prohibitive for real-time application. This paper proposes a novel framework: a Physics-Informed Graph Network (PIGN) designed specifically for the Digital Twin of bridge structures. By representing the bridge topology as a graph, where sensor nodes communicate via edges defined by physical connectivity, the model explicitly captures spatial dependencies. Furthermore, the integration of governing physical laws directly into the loss function ensures that predictions adhere to fundamental mechanical principles. We demonstrate that this hybrid approach significantly outperforms purely data-driven baselines in trajectory prediction and damage identification, particularly under noisy sensor conditions. The proposed framework reduces the dependency on massive labeled datasets while maintaining the computational efficiency required for continuous monitoring.","url":"https://doi.org/10.71465/ajdsa3463","authors":["Wei Chen","J. W. Smith"],"tags":["Computer science","Bridge (graph theory)","Structural health monitoring","Distributed computing","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.71465/ajdsa3463","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4408658526","name":"TOWARDS A DIGITAL TWIN FOR EMERGENCY RESPONSE: A HYBRID SIMULATION FOR MULTI-SECTORAL RESOURCE ALLOCATION","source":"openalex","abstract":"Planning for Emergency Response is crucial to a region’s preparedness for climate resilience. It involves multiple government sectors and necessitates effective cooperation between them. Collective management of emergency response resources can improve resource allocation at a regional scale and overcome local constraints. However, prioritising resources is challenging when a collective sharing strategy is applied. When emergency events are still evolving, another challenge is the estimation of future demands and resource shortages, which trigger further requests for external support. In modelling resource flow dynamics, we are implementing an emergency response Digital Twin that combines a Resource Allocation Model with short-term predictions concerning weather-related emergency events and real-time updates. This paper focuses on the resource allocation model for hybrid simulation. It is applied to a flooding case study from the city of Torbay (UK). It enables a holistic assessment of emergency response, considering the cascading effects of the failure of critical infrastructures for better addressing regional resilience.","url":"https://doi.org/10.36819/sw25.032","authors":["Otto Chen","Stantec","Navonil Mustafee","Qian Clara Li","Barry Evans","Mehdi Khoury","Lydia Vamvakeridou-Lyroudia","Albert Y. Chen","Slobodan Djordjević","Dragan Savić"],"tags":["Computer science","Resource allocation","Emergency response","Resource management (computing)","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-20","doi":"https://doi.org/10.36819/sw25.032","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414063378","name":"Unlocking Digital Success: A TOE Framework Analysis of Digital Marketing Adoption for Enhanced SMEs Competitiveness","source":"openalex","abstract":"This study analyzes the extent to which Technology-Organization-Environment (TOE) factors contribute to the adoption of electronic marketing and resulting business performance among small and medium-sized enterprises (SMEs) in Mimika, Indonesia. A quantitative, cross-sectional survey design collected data from 218 SMEs using validated tools and applying Partial Least Squares Structural Equation Modeling (PLS-SEM) and bootstrapping methods for analytical assessment. The findings suggest that technological forces have the largest positive effect on electronic marketing adoption (β = 0.573, p < 0.001), followed by organizational forces (β = 0.232, p < 0.001), and environmental forces (β = 0.185, p < 0.005). The adoption of electronic marketing is further seen to positively affect business performance (β = 0.841, p < 0.001). The structural model explains 83.6% of the variance for electronic marketing adoption and 70.7% of the variance for business performance. Despite limitations inherent to the cross-sectional design when it comes to causal implications and geographical limitations applied to generalizability, this research provides the first empirical validation of the TOE framework within the specific context of Indonesian SMEs adopting electronic marketing. The findings are reflective of a technology-led adoption model different from an organizational-led fashion common to more developed countries. The findings indicate that SMEs would be best advised to place importance upon determining their technology-readiness and examining platform compatibility, complemented by developing organizational capacity, to ensure enhanced capability to drive digital transformation, and hence make valuable contributory inputs to context-specific literature for emerging economies where technology-focused factors have a preponderant role to play when choosing an adoption model.","url":"https://doi.org/10.14419/n81qcx19","authors":["Halek Mu’min","Denny Bernardus","Thomas Stefanus Kaihatu"],"tags":["Marketing","Structural equation modeling","Variance (accounting)","Business","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-07","doi":"https://doi.org/10.14419/n81qcx19","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4405722475","name":"Energy in Smart Cities: Technological Trends and Prospects","source":"openalex","abstract":"Energy management in smart cities has gained particular significance in the context of climate change and the evolving geopolitical landscape. It has become a key element of sustainable urban development. In this context, energy management plays a central role in facilitating the growth of smart and sustainable cities. The aim of this article is to analyse existing scientific research related to energy in smart cities, identify technological trends, and highlight prospective directions for future studies in this field. The research involves a literature review based on the analysis of articles from the Scopus and Web of Science databases to identify and evaluate studies concerning energy in smart cities. The findings suggest that future research should focus on the development of smart energy grids, energy storage, the integration of renewable energy sources, as well as innovative technologies (e.g., Internet of Things, 5G/6G, artificial intelligence, blockchain, digital twins). This article emphasises the significance of technologies that can enhance energy efficiency in cities, contributing to their sustainable development. The recommended practical and policy directions highlight the development of smart grids as a cornerstone for adaptive energy management and the integration of renewable energy sources, underpinned by regulations encouraging collaboration between operators and consumers. Municipal policies should prioritise the adoption of advanced technologies, such as the IoT, AI, blockchain, digital twins, and energy storage systems, to improve forecasting and resource efficiency. Investments in zero-emission buildings, renewable-powered public transport, and green infrastructure are essential for enhancing energy efficiency and reducing emissions. Furthermore, community engagement and awareness campaigns should form an integral part of promoting sustainable energy practices aligned with broader development objectives.","url":"https://doi.org/10.3390/en17246439","authors":["Danuta Szpilko","Xavier Fernando","Elvira Nica","Klaudia Budna","Agnieszka Rzepka","George Lăzăroiu"],"tags":["Renewable energy","Context (archaeology)","Efficient energy use","Environmental economics","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-20","doi":"https://doi.org/10.3390/en17246439","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3215191676","name":"Research on Guilin Smart Cultural Tourism Service Scenario based on Digital Twin Technology","source":"openalex","abstract":"In recent years, with the emergence of new technologies such as cloud computing, the Internet of Things, big data, and artificial intelligence, the country has deeply promoted the application of science and technology in the cultural and tourism industries, targeting smart cultural tourism, digital cultural industries, online and offline integrated development, and scenic spots. Multiple service scenarios such as smart supervision put forward new requirements. The purpose is to use digital twin technology to build a digital, online, and intelligent cultural tourism industry chain, optimize Guilin tourism service processes, improve service efficiency, and make full use of the city's smart cultural tourism development to promote the improvement of the city's image and promote Guilin The new form of global tourism forms the city's endogenous development capabilities, and provides theoretical and practical guidance for the construction of smart cultural tourism in other cities. By analyzing the current status of smart cultural tourism and application requirements, it discusses the design and construction of Guilin smart cultural tourism service scenarios based on digital twin technology, and how to strengthen the realization of future-oriented smart interactive scenarios in the innovation of service models.","url":"https://doi.org/10.54691/bcpbm.v13i.51","authors":["Jingran Yang","Yuyuan Peng","Hongjin Liang"],"tags":["Tourism","Service (business)","Business","Cultural tourism","Smart city"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-16","doi":"https://doi.org/10.54691/bcpbm.v13i.51","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416570545","name":"Agile-Driven Digital Transformation Frameworks for Optimizing Cloud-Based Healthcare Supply Chain Management Systems","source":"openalex","abstract":"The increasing complexity of healthcare supply chain systems necessitates agile, data-driven, and cloud-based solutions to enhance operational efficiency, resilience, and patient-centered service delivery. This paper proposes an Agile-Driven Digital Transformation Framework designed to optimize cloud-based healthcare supply chain management systems through iterative development, adaptive planning, and continuous integration of digital technologies. The framework leverages cloud computing, artificial intelligence (AI), Internet of Things (IoT), and blockchain to achieve real-time visibility, predictive analytics, and traceability across procurement, inventory, and distribution networks. By embedding agile methodologies such as Scrum and DevOps within the transformation lifecycle, healthcare organizations can rapidly respond to disruptions, regulatory shifts, and fluctuating demand patterns—particularly during crises such as pandemics. The study explores the synergistic role of digital twins and data interoperability standards (e.g., HL7, FHIR) in fostering transparency and decision intelligence across multi-tier healthcare ecosystems. Additionally, it evaluates the challenges of digital adoption, including cybersecurity risks, data governance, and change management. The proposed framework provides a strategic roadmap for healthcare institutions aiming to modernize their supply chain infrastructure, enhance resource utilization, and ensure resilient, patient-safe delivery of medical goods and services in a cloud-empowered environment.","url":"https://doi.org/10.38124/ijsrmt.v4i5.1002","authors":["Olalekan Ajayi- Kaffi","Igba Emmanuel","Tony Isioma Azonuche","Onuh Matthew Ijiga"],"tags":["Interoperability","Process management","Supply chain","Traceability","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-29","doi":"https://doi.org/10.38124/ijsrmt.v4i5.1002","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4210530572","name":"The Model of Digital Lifelong Education System in the Era of Grand Challenges: The Case of Multidisciplinary University","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-93904-5_82","authors":["Аnna Rubtsova","Tabolina V. Anastasiia","Dmitrii V. Tikhonov","Nikolay I. Snegirev","Marina Bolsunovskaya","Nadezhda Almazova","Veronika Rakova","Natalia B. Smolskaia","Nora Kats"],"tags":["Lifelong learning","Brainstorming","Agile software development","Multidisciplinary approach","Asset (computer security)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-93904-5_82","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4242282425","name":"Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences","source":"openalex","abstract":"Continuing its long history of influential scientific publishing, Philosophical Transactions A publishes high quality theme issues on topics of current importance and general interest within the physical, mathematical and engineering sciences, guest-edited by leading authorities and comprising new research, reviews and opinions from prominent researchers.","url":"https://doi.org/10.1098/rsta","authors":["Jairo Gudiño","Umberto Grandi","César A. Hidalgo"],"tags":["Series (stratigraphy)","Classics","History","Biology","Paleontology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-22","doi":"https://doi.org/10.1098/rsta","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414598356","name":"Toward Smart Healthcare in Digital Twin for 6G‐Powered Sustainable Ultra‐Smart Cities","source":"openalex","abstract":"This chapter explores current applications of digital twins (DTs) in healthcare, assesses the contributions and challenges of consortium-based research efforts, and identifies emerging opportunities for innovation. The increasing complexities due to the aging population and disease burden on the global healthcare system provide a novel opportunity for sixth-generation (6G)-powered DT technologies about patients, medical science and healthcare management. The chapter examines two technologies emerging in smart city development: the DTs and the 6G cellular networks. Sustainable ultra-smart cities need to lower their medical wastes with the help of predictive analytics and optimized supply chains. DT technologies are advancing healthcare through enhanced patient monitoring, early diagnosis and assistance in therapy plans. 6G will enhance telemedicine, remote surgery and real-time patient monitoring while integrating artificial intelligence for improved diagnosis to transform smart healthcare.","url":"https://doi.org/10.1002/9781394411320.ch8","authors":["M. Vaidhehi","C. Malathy","Pradeep SUDHAKARAN","Aswathy K Cherian","R. Geetha","Guntupalli Manoj Kumar","M. VAIDHEHI","C. MALATHY","Aswathy K. CHERIAN","R. GEETHA","Guntupalli Manoj KUMAR"],"tags":["Business","Health care","Digital health","Knowledge management","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-12","doi":"https://doi.org/10.1002/9781394411320.ch8","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4407378469","name":"Unlocking new opportunities for strategic advisory and innovation with digital twin technology in corporate finance","source":"openalex","abstract":"Digital Twin Technology (DTT) has emerged as a transformative force in various industries, enabling real-time simulation and decision-making. In corporate finance, its potential is largely untapped, yet it holds promise for revolutionizing strategic advisory and innovation. This review paper explores the applications, benefits, challenges, and future directions of DTT in the corporate finance sector. The study aims to establish a comprehensive understanding of how DTT can unlock new opportunities for strategic decision-making, risk management, and financial innovation. The study also highlights the technological synergies and collaborative frameworks that can support the adoption of DTT in diverse financial contexts.","url":"https://doi.org/10.30574/wjarr.2025.25.2.0416","authors":["Oyindamola Modupe Odewuyi","Oluwabanke Aminat Shodimu","Adeniyi Paul Philips","Selina Affiang Okpo"],"tags":["Business","Corporate finance","Marketing","Knowledge management","Finance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-11","doi":"https://doi.org/10.30574/wjarr.2025.25.2.0416","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7130558332","name":"Digital Twins in 2025: A Comprehensive Review of Current Trends, Challenges, and Future Directions","source":"openalex","abstract":"Digital twin technology has rapidly evolved from a simulation-based concept into a core enabler of intelligent, datadriven ecosystems across industries. By integrating physical assets with their virtual counterparts through the Internet of Things, artificial intelligence and advanced analytics, digital twins enable real-time monitoring, predictive maintenance and enhanced decision-making. This paper reviews recent developments in digital twin research and implementation from 2023 to 2025, highlighting progress in manufacturing, healthcare, smart cities and energy systems. The convergence of digital twins with emerging technologies such as edge computing, blockchain and the industrial metaverse has considerably expanded their scope, supporting secure, scalable and autonomous operations. Despite these advances, challenges remain concerning interoperability standards, data governance, cybersecurity and the computational demands of high-fidelity models. The review concludes by identifying key research directions, including human-centric design, hybrid physics–AI modelling and the development of sustainable digital infrastructures. Overall, digital twins are positioned as a foundational technology for Industry 5.0 and the wider digital transformation agenda beyond 2025.","url":"https://doi.org/10.1109/icetce66848.2025.11388090","authors":["Divya Saleela","Rincy Merlin Mathew","Reji R","L P Supriya","Chinchu M S"],"tags":["Enabling","Interoperability","Digital transformation","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-21","doi":"https://doi.org/10.1109/icetce66848.2025.11388090","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7133124558","name":"Shedding Light on Explainable AI: Insights, Challenges, and the Future of Infrastructure Management","source":"openalex","abstract":"This study presents a systematic review of Explainable Artificial Intelligence (XAI) applications in Transportation Infrastructure Management (TIM), focusing on predictive maintenance of safety-critical assets such as railways and bridges. A predefined review protocol was implemented, and peer-reviewed literature was systematically retrieved from Web of Science and Scopus covering the period 2015 to March 2025. Using structured Boolean search logic and clearly defined inclusion and exclusion criteria—requiring explicit integration of explainability within AI-driven infrastructure maintenance—450 records were initially identified, screened in multiple stages, and refined to 163 eligible studies for detailed analysis. Through structured data extraction and thematic synthesis, the review develops a taxonomy of model-specific, model-agnostic, hybrid, and human-centered XAI approaches while identifying recurring challenges including heterogeneous multi-modal data environments, lack of standardized interpretability metrics, computational constraints in real-time deployment, limited robustness validation under field conditions, and unresolved performance–interpretability trade-offs. The findings demonstrate systematic growth in XAI-driven predictive maintenance research and highlight the need for domain-specific benchmarks, hybrid interpretable architectures, digital twin-assisted validation, and edge-enabled explainable systems to enable scalable, transparent, and regulation-ready infrastructure management aligned with Industry 5.0.","url":"https://doi.org/10.3390/ijgi15030100","authors":["Youwen Hu","Zunaira Atta","Tariq Ur Rahman","Shi Qiu","Jin Wang","Wei Wei","Zhiyu Liang","Qasim Zaheer"],"tags":["Interpretability","Computer science","Data science","Robustness (evolution)","Taxonomy (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-28","doi":"https://doi.org/10.3390/ijgi15030100","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4393360702","name":"Experimental Digital Twins with Socio-Economic Artificial Environments of Forecast and Analytical Simulation Models","source":"openalex","abstract":"The technological development of Russia in recent years has been moving at an active pace due to external challenges that dictate the need to search for internal resources and poses serious challenges to the scientific community in terms of developing research potential and creating software and technological sovereignty, especially emphasizing the importance of the IT industry and long-term forecasting. Nanotechnology, which incorporates the concepts of IT, is a supra-industry technology, that is, it is the basis for achieving progress in any area of human activity. Without the use of information technology, it will be extremely difficult to achieve outstanding achievements in a dynamically changing world. There is an emerging interest in new computer modeling methods that make it possible to create experimental digital twins in the form of simulation models and can partially compensate for the incompleteness of information. Having modeled the necessary processes, it is possible to make management decisions on the construction of facilities, simulate socio-economic processes, and formulate a 10-year forecast about the demographic situation of the country. The applied modeling tools discussed in the article demonstrate the usefulness of such management tools with developed functional elements in information and analytical management structures. Soon, this trend will increase and those countries that will take leading positions in this direction will be able to create ultra-effective forecasting and analytical scenarios with various levels of detail. By using all the functionality of simulation modeling, it is possible to create truly applied instrumental complexes with a potential basis for the implementation of such solutions in the structures of systems of distributed situational centers for the future development of technological sovereignty and the introduction of fundamentally new methods of strategic forecasting in the Russian Federation.","url":"https://doi.org/10.18254/s207751800030011-1","authors":["Dmitry Evdokimov"],"tags":["Computer science","Econometrics","Environmental science","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.18254/s207751800030011-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4406891549","name":"Does the Digital Economy Promote Renewable Energy?—Evidence From a Cross‐National Sample","source":"openalex","abstract":"ABSTRACT Renewable energy is one of the key factors in mitigating climate change and achieving sustainable development. With digital technology at its core, the digital economy has gradually become a new driving force for renewable energy development. However, few studies have examined the impact of the digital economy on renewable energy from a global perspective and explored the transmission mechanisms. Based on the cross‐country data of 68 countries (regions) from 2013 to 2021, this paper adopts a panel model to study the impacts of the digital economy on renewable energy. The results show that (1) digital economy has a positive impact on renewable energy; (2) the impact of digital economy on renewable energy is asymmetric and heterogeneous; (3) the impact of digital economy on renewable energy development has obvious threshold characteristics; (4) digital economy indirectly affects renewable energy through technological innovation and financial development. The research in this paper provides a theoretical basis for promoting renewable energy development and a reference and guidance for countries to realize sustainable development in the context of the digital economy.","url":"https://doi.org/10.1002/app5.70015","authors":["Lin Liu","Jing Liu","Jianing Zhang","Yiyang Zhao"],"tags":["Sample (material)","Renewable energy","Economics","Digital economy","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-28","doi":"https://doi.org/10.1002/app5.70015","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4408213253","name":"Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma","source":"openalex","abstract":"Deepseek and Qwen large language models (LLM) became popular at the beginning of 2025 with their low-cost and open-access LLM solutions. A company based in Hangzhou, Zhejiang, China, announced its new LLM, DeepSeek v3, in December 2024. Then, Alibaba released its AI model, Qwen 2.5 Max, on January 29, 2025. These tools, which are free, open-source, and have no specified or known query limit, have made a significant impact on the world. Deepseek and Qwen also have the potential to be used by many researchers and individuals around the world in academic writing and content creation. Therefore, it is important to determine the capacity of these new LLMs to generate high-quality academic content. This study aims to evaluate the academic writing performance of both Qwen 2.5 Max and DeepSeek v3 by comparing these models with popular systems such as ChatGPT, Gemini, Llama, Mistral, and Gemma. In this research, 40 articles on the topics of Digital Twin and Healthcare were used. The method of this study involves using generative AI tools to generate texts based on posed questions and paraphrased abstracts of these 40 articles. Then, the generated texts were evaluated through the plagiarism tool, AI detection tools, word count comparisons, semantic similarity tools and readability assessments. It was observed that plagiarism test result rates were generally higher for the paraphrased abstract texts and lower for the answers generated to the questions, but both were above acceptable levels. In the evaluations made with the AI detection tool, it was determined with high accuracy that all the generated texts were detected as AI-generated. In terms of the generated word count comparison, it was evaluated that all chatbots generated satisfactory amount of content. Semantic similarity tests show that the generated texts have high semantic overlap with the original texts. The results of the readability tests of the generated texts showed that the texts were insufficient in terms of readability.","url":"https://doi.org/10.36227/techrxiv.174137796.60885820/v1","authors":["Ömer Aydın","Enis Karaarslan","Fatih Safa Erenay","Nebojša Bačanin Džakula"],"tags":["Gemma","Generative grammar","Mathematics education","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-07","doi":"https://doi.org/10.36227/techrxiv.174137796.60885820/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416334291","name":"A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning","source":"openalex","abstract":"This paper presents a comprehensive digital twin model for grain enterprise financial shared service centers that integrates distributed deep learning capabilities with neural symbolic reasoning mechanisms to address complex financial management challenges. The proposed model employs a hierarchical architectural framework that combines the pattern recognition strengths of deep neural networks with the interpretability and knowledge representation capabilities of symbolic reasoning systems. The hybrid neural architecture integrates multilayer perceptrons, recurrent neural networks, and convolutional neural networks within a distributed computing framework, while the neural symbolic reasoning engine incorporates knowledge graphs and rule-based inference mechanisms for interpretable decision support. Experimental validation on real-world financial datasets demonstrates superior performance with 94.7% accuracy in financial prediction tasks, representing significant improvements over baseline approaches. Practical deployment across three major grain enterprise financial shared service centers showed substantial operational improvements, including 66.4% reduction in transaction processing time, 130.7% increase in process automation level, and 87.5% decrease in error rates. The economic analysis reveals annual operational cost savings exceeding $8.3 million across participating enterprises, validating the practical viability and transformative potential of the proposed approach in complex financial management environments.","url":"https://doi.org/10.1038/s41598-025-24350-8","authors":["Yuxiang Wei"],"tags":["Interpretability","Computer science","Artificial intelligence","Deep learning","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-18","doi":"https://doi.org/10.1038/s41598-025-24350-8","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4399176611","name":"Digital Twinning‐Based Autonomous Take‐Off, Landing, and Cruising for Unmanned Aerial Vehicles","source":"openalex","abstract":"Drones, or unmanned aerial vehicles (UAVs), have altered many sectors, most notably the security, transportation, and maintenance sectors. Autonomy in UAV operations remains a major research challenge, especially in high-stake flying phases like take-off, landing, and cruising. This research investigates the feasibility of using digital twin-based methods to improve UAV autonomy during certain flight stages. The study aims to learn more about digital twinning, how it works, what problems it solves, how it may be implemented, and what advantages and disadvantages it has over existing systems. The study begins by explaining digital twins and how they might be used in crewless aerial vehicles. It focuses on how digital twinning uses real-time data capture, sensor fusion, and environmental analysis to realize UAV autonomy. Next, we look at the difficulties and restrictions of today's techniques for autonomous take-off, landing, and flight. Digital twinning-based systems are discussed regarding the gaps they intend to fill, such as the over-reliance on pre-programmed flight paths and the restricted flexibility they now offer. An architecture is provided for implementing digital twin technology in UAVs. The framework specifies the hardware, software, algorithms, and data for fully autonomous flights. It highlights the importance of having a physical UAV and its digital twin that sync regarding sensor technology, compute capacity, and synchronization. Possible advantages of methods based on digital twins are mentioned, such as increased flexibility, quicker reaction times, and greater protection. Sensor optimization, processing needs, and data security are also discussed as examples of feasibility issues. By looking ahead, we can fully realize the benefits of digital twinning-based autonomous operations for UAVs, ushering in a new era of highly effective, highly flexible, and highly secure UAV missions.","url":"https://doi.org/10.1002/9781394257003.ch7","authors":["Kiran Deep Singh","Prabhdeep Singh","Mohit Angurala"],"tags":["Aeronautics","Aerospace engineering","Computer science","Marine engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-30","doi":"https://doi.org/10.1002/9781394257003.ch7","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4415283561","name":"Review of Advances in the Robotization of Timber Construction","source":"openalex","abstract":"The construction industry faces persistent productivity shortfalls and rising carbon dioxide emissions, which drives a shift toward the use of low-carbon materials and higher degrees of automation. Timber, a renewable and carbon-sequestering material, becomes especially compelling when combined with robotic fabrication. Although rapid advances have been implemented in the last decade, research and practice remain fragmented, and systematic evaluations of technological readiness are scarce. This gap is addressed in this review through critical literature synthesis of robotic timber construction, combining bibliometric analysis with a comparative evaluation of twelve representative case studies from 2020 to 2025. Computational and robotic tools are mapped across the design to fabrication pipeline, and emerging advancements are identified such as digital twins, real-time adaptive workflows, and machine learning driven fabrication, alongside discrete and circular strategies. Barriers to scale up are also assessed, including mid-level technology readiness, regulatory and safety obligations for human–robot interaction, evidence on cost and productivity, and workforce training needs. By clarifying the current level of robotization and specifying both research gaps and industrial prerequisites, this study provides a structured foundation for the next phase of development. It helps scholars by consolidating methods and metrics for rigorous evaluation, and it helps practitioners by highlighting pathways to scalable, certifiable, and circular deployment that align cost, safety, and training requirements.","url":"https://doi.org/10.3390/buildings15203747","authors":["Fang-Che Cheng","Henriette Bier","Ningzhu Wang","Alisa Andrasek"],"tags":["Software deployment","Workforce","Engineering","Productivity","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-17","doi":"https://doi.org/10.3390/buildings15203747","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4408995087","name":"Metaverse in hospitality and tourism in the International Journal of Contemporary Hospitality Management: Guest Editorial","source":"openalex","abstract":"The metaverse represents a transformative evolution of the internet, integrating virtual reality (VR), augmented reality (AR), artificial intelligence (AI) and blockchain technologies to seamlessly merge physical and digital realms. This convergence fosters highly interactive and immersive experiences, particularly within the hospitality and tourism industries (Buhalis et al., 2023; Chen, 2025). Leading hotel brands, such as Accor Hotels, are leveraging the metaverse to redefine the guest journey by enhancing the pre-trip dreaming and discovery phases through captivating digital experiences. Additionally, virtual avatars in the metaverse are being used to enrich in-stay interactions, creating novel touchpoints for customer engagement. The integration of metaverse technologies into sustainable tourism practices is reshaping urban living, tourism and hospitality. A prominent example is Dubai’s ambitious vision for a smart city, which illustrates the potential of the metaverse in crafting seamless and engaging environments that elevate the experiences of both residents and visitors. With the hospitality and tourism sector poised to tap into an estimated US$20bn market opportunity (McKinsey, 2023), the industry is uniquely positioned to harness these innovations, delivering redefined engagement and digitally enriched, unforgettable experiences.Despite significant advancements in defining and conceptualizing the metaverse (Dwivedi et al., 2022; Koohang et al., 2023; Buhalis et al., 2023), its application within the hospitality and tourism domain remains in its infancy. The current research is marked by a limited number of publications and a predominantly conceptual focus, with commercial adoption yet to reach scale in this sector (Buhalis et al., 2023). Although there have been several publications on metaverse literature (e.g. Gursoy et al., 2023; Chen et al., 2024), a significant gap remains in examining and integrating foundational knowledge specific to the metaverse within the hospitality literature. While existing studies highlight general topics and key contributors, they fail to provide actionable managerial frameworks, limiting both theoretical advancements and practical applications. This special issue addresses these gaps, grounded in diverse theoretical foundations, offering a more comprehensive approach to understanding the potential of the metaverse. While the sustainability benefits of metaverse-enabled tourism development – such as VR adoption for training and other initiatives – are evident, both academic and practitioner circles exhibit a limited understanding of these critical aspects (Foroudi et al., 2024). This special issue addresses these gaps by drawing on diverse theoretical foundations, offering a more comprehensive approach to understanding the metaverse’s potential. While the sustainability benefits of metaverse-enabled tourism development – such as VR adoption for training and other initiatives – are evident, there remains a limited understanding of these critical aspects within both academic and practitioner circles. To fill this gap, our special issue aims to inspire researchers to develop insightful models that help practitioners integrate these technologies into their strategies. This special issue advances current knowledge on the metaverse and its applications in the hospitality and tourism industry by focusing on three critical areas: the theoretical structuring of the metaverse literature, the identification of key research streams and their interrelationships and the exploration of future research directions for both scholars and practitioners. Then, it explores key questions related to the metaverse and its applications within the hospitality and tourism sector.This special issue features 14 articles, organized into three main research streams based on their core focus. The aim is to explore the metaverse and its applications in the hospitality and tourism industry. Collectively, the papers pub","url":"https://doi.org/10.1108/ijchm-04-2025-228","authors":["Pantea Foroudi","Reza Marvi","Dongmie Zha","Kaouther Kooli","Richard P. Bagozzi"],"tags":["Hospitality","Tourism","Hospitality management studies","Sociology","Hospitality industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-31","doi":"https://doi.org/10.1108/ijchm-04-2025-228","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7125531446","name":"Exploring Professionals’ Perceptions of the Potential of Digital Twins in Homecare—A Focus Group Study in Sweden","source":"openalex","abstract":"Background/Objectives: The growing number of older adults with complex healthcare needs increases demand for homecare services, while a shrinking workforce often lacks skills for advanced tasks. Digital health is seen as a promising tool to address these challenges. This study explored Swedish homecare professionals’ perceptions of the potential use of digital twins in daily work. Methods: Four focus group discussions were conducted with 31 homecare professionals; two groups each in one urban/rural and one rural municipality. Data were analyzed using inductive content analysis. Results: Three main themes emerged: (i) Perceptions of digital twins as support for older adults, including needs-based, individualized care and proactive support enabling preventive measures; (ii) Perceptions of digital twins as support for professionals, including a better work environment through streamlined tasks and flows and enhanced planning and assessment; and (iii) Concerns about digital twins, focusing on ethical and social issues and limited understanding, which were related to monitoring aspects, the importance of physical visits, and how the technology works. Conclusions: Digital twins are perceived by professionals to have the potential to improve homecare services by supporting both older adults and professionals; however, further research is needed to address concerns and practical implications.","url":"https://doi.org/10.3390/healthcare14030289","authors":["Sandra Saade","Susanna Nordin","Johan Borg"],"tags":["Focus group","Perception","Workforce","Digital health","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-23","doi":"https://doi.org/10.3390/healthcare14030289","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7108466784","name":"Digital Twin in Healthcare Market Outlook 2025-2030: Trends, Opportunities, and Forecasts","source":"openalex","abstract":"The global Digital Twin in Healthcare Market is projected to grow from USD 1.57 billion in 2025 to USD 4.69 billion by 2030, driven by AI, IoT, and machine learning integration. Advanced digital twins are transforming personalized medicine, predictive care, and hospital operations worldwide. To access the full report, visit - https://www.nextmsc.com/report/digital-twins-in-healthcare-market","url":"https://doi.org/10.5281/zenodo.17798030","authors":["Next Move Strategy Consulting"],"tags":["Business","Health care","Digital health","Finance","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.5281/zenodo.17798030","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413215658","name":"A Multi-Model BIM-Based Framework for Integrated Digital Transformation of Design to Construction of Large Complex Underground Caverns","source":"openalex","abstract":"The construction of large underground caverns fundamentally differs from building and above ground civil infrastructure projects due to their complex geometries and variable geological conditions. These projects are complex and challenging because a large amount of data is generated from dispersed, independent, and heterogeneous sources. The underground construction industry often uses traditional project management techniques to manage complex interactions between these data sources that are hardly linked, and independent decisions are often made without considering all the relevant aspects. In this context, cavern construction exhibits uncertainties and risks due to unforeseen circumstances, an intricate design, and ineffective information management. Existing research has considered general BIM semantic models at the design stage; however, the digital transformation of cavern construction remains underdeveloped and fails to integrate digital construction throughout the project lifecycle. To address that gap, a novel BIM-based multi-model cavern information modeling framework is presented here to improve project management, construction, and delivery by integrating multiple interlinked data models and project performance data for large underground cavern construction. Data models of cavern construction processes are linked to propose an extension of the Industry Foundation Classes (IFC) schema based on the cavern-specific elements, relationships, and property set definitions. To illustrate the potential of the proposed framework, a theoretical application to the powerhouse cavern construction is presented. The results indicate that the framework has significant potential to improve construction efficiency and safety and establish a robust foundation for the digital transformation of underground cavern projects. The theoretical implementation on the Neelum–Jhelum powerhouse cavern showed that the framework enabled a 92 m cavern realignment to avoid fault zones, achieved a 12.4% reduction in rock bolt usage, and a 9.8% reduction in shotcrete volume. These quantitative improvements illustrate its potential to enhance safety, reduce material costs, and optimize construction efficiency compared to conventional workflows.","url":"https://doi.org/10.3390/buildings15162834","authors":["Waqas Arshad Tanoli","Abid Ullah","Abubakar Sharafat","Esam M. H. Ismaeil"],"tags":["Building information modeling","Construction engineering","Context (archaeology)","Engineering","Civil engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-11","doi":"https://doi.org/10.3390/buildings15162834","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411923688","name":"The impact of digital technology on total factor productivity in manufacturing enterprises","source":"openalex","abstract":"Digital technology drives high-quality development in manufacturing while serving as a critical enabler for advancing the digital economy. Using data from the Chinese list of manufacturing enterprises from 2012 to 2023, this study empirically analyzes the impact of digital technology on total factor productivity (TFP) in manufacturing and its mechanism of action and further explores its heterogeneity. The results show that digital technology has significantly promoted total factor productivity in manufacturing; this effect was still valid after a series of robustness tests and endogeneity tests were conducted. The mechanism analysis indicated that digital technology enhances total factor productivity in the manufacturing enterprises through the enhancement of the innovation ability of enterprises and the reduction in the operation and management costs. The heterogeneity analysis showed that digital technology has a more significant effect on the total factor productivity enhancement of enterprises in the eastern region, state-owned enterprises, and small and medium-sized enterprises. The conclusions provide clear policy implications for the promotion of the digital transformation of enterprises, accelerating the formation of high-quality productivity in enterprises, and promoting the high-quality development of the manufacturing industry.","url":"https://doi.org/10.1038/s41598-025-05811-6","authors":["Jian Tu","Xin Wei","Muhammad Ashlyzan Razik"],"tags":["Productivity","Impact factor","Factor (programming language)","Total factor productivity","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-02","doi":"https://doi.org/10.1038/s41598-025-05811-6","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4293420201","name":"Building Integrated Photovoltaics 4.0: Digitization of the Photovoltaic Integration in Buildings for a Resilient Infra at Large Scale","source":"openalex","abstract":"Building integrated photovoltaic (BIPV) systems have gained a lot of attention in recent years as they support the United Nations’ sustainable development goals of renewable energy generation and construction of resilient infrastructure. To make the BIPV system infra resilient, there is a need to adopt digital technologies such as the internet of things (IoT), artificial intelligence (AI), edge computing, unmanned aerial vehicles (UAV), and robotics. In this study, the current challenges in the BIPV system, such as the rise in the temperature of the PV modules, the occurrence of various faults, and the accumulation of dust particles over the module surface, have been identified and discussed based on the previous literature. To overcome the challenges, the significance and application of the integration of these digital technologies in the BIPV system are discussed along with the proposed architecture. Finally, the study discusses the vital recommendations for future directions, such as ML and DL for image enhancement and flaws detection in real-time image data; edge computing to implement DL for intelligent BIPV data analytics; fog computing for 6G assisted IoT network in BIPV; edge computing integration in UAV for intelligent automation and detection; augmented reality, virtual reality, and digital twins for virtual BIPV systems with research challenges of real-time implementation in the BIPV.","url":"https://doi.org/10.3390/electronics11172700","authors":["Digvijay Singh","Shaik Vaseem Akram","Rajesh Singh","Anita Gehlot","D. Buddhi","Neeraj Priyadarshi","Gulshan Sharma","Pitshou N. Bokoro"],"tags":["Building-integrated photovoltaics","Digitization","Photovoltaic system","Renewable energy","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-29","doi":"https://doi.org/10.3390/electronics11172700","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7116879861","name":"From Conflicting Data to Predictive Insights: A Digital Twin Approach for ADRD Risk and Resilience","source":"openalex","abstract":"BACKGROUND: A vast amount of data has been collected on the genetic, lifestyle, and environmental risk factors contributing to Alzheimer's Disease and Related Dementias (ADRD); however, no consensus exists on how to integrate these findings for prediction of an individual's ADRD risk. Each study uses different inclusion/exclusion criteria, and variations in baseline age and follow-up can significantly affect the results. For example, exercise is often cited as a key preventative measure for ADRD, yet its impact varies widely-showing strong effects in some studies (Larson, 2006), and no effect in others (Knutosor, 2021). Similar challenges exist for other risk factors, including diabetes, Vitamin D, and even the presence of amyloid plaques in cognitively normal individuals. We have solved this challenge by analyzing ADRD risk and resilience data within the framework of a causal model, enabling us to reconcile seemingly disparate data and make individualized predictions using digital twins. METHOD: We developed a mechanistic model of brain health and neurodegeneration based on engineering principles of mass balance and closed-loop feedback. The model was calibrated using in vitro, in vivo, clinical, and post-mortem data. Biologically relevant variability was identified by examining mechanisms linked to hazard ratios. Using this model, we generated a digital population that replicates hazard ratio and Kaplan-Meier data (Figure 1). RESULT: This digital population reconciles conflicting data and provides a consistent framework to compare the effect size of risk factors. We can stratify the population into subgroups based on which biological processes fail to compensate, leading to disease progression. Additionally, we can create an individual's digital twin by using the digital population as a Bayesian prior then applying individual health data using Bayesian inference. The resulting digital twin can be used to predict the individual's risk of ADRD and guide personalized treatment and prevention strategies. CONCLUSION: Computational tools are needed to synthesize decades of ADRD research into causal hypotheses that accurately model the range of possible disease etiology. Mechanistic models, enhanced by artificial intelligence, offer an ideal framework for integrating diverse datasets and prior knowledge. Our scalable, high-throughput platform enables the creation of digital twins, improving healthcare and optimizing treatment strategies.","url":"https://doi.org/10.1002/alz70860_107177","authors":["Jennifer A. Rohrs","Tom Paterson","Don Breuner","Cory C. Funk"],"tags":["Computer science","Resilience (materials science)","Risk analysis (engineering)","Data science","Psychological resilience"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1002/alz70860_107177","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413428025","name":"Exploratory Integration of a Digital Twin with a Data Space: Case Study with the Asset Administration Shell","source":"openalex","abstract":"In the context of Industry 4.0, technologies such as Digital Twin (DT) and Data Space (DS) have emerged as a revolution in the way physical assets are represented in simulation models and how their information and data are represented in cloud repositories. The aim of this work was to investigate the technologies of DTs and DSs, with a focus on their application in an industrial context, delving into the approaches and difficulties of the integration of both technologies, so that it can be explored and answered the respective challenges. To this end, literature reviews on these topics were explored by reading various sources, as well as analyzing different methodologies for implementing and integrating the two technologies. The result was a description of the main methodologies for integrating DTs with DSs, with the addition of a practical application using AASX Package Explorer, this being a platform enabling the virtual representations of industrial equipment in the molds of DT technologies, containing the association with server tools from other developers and specifications.","url":"https://doi.org/10.3390/machines13090751","authors":["Francisco Zenza","Luı́s Pinto Ferreira","Carlos Gonçalves","R.L.A. Ribeiro","Ana Luísa Ramos"],"tags":["Asset (computer security)","Administration (probate law)","Space (punctuation)","Shell (structure)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.3390/machines13090751","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7139038873","name":"Shaping the future of multiple myeloma with artificial intelligence and digital twins: from concept to clinic","source":"europepmc","abstract":"Multiple myeloma (MM) is an incurable hematological malignancy with significant clinical and biological heterogeneity. Despite development and refinement of numerous prognostic models for MM, challenges with accurate and reliable risk stratification remain, highlighted by unexpected, early relapse or progression of disease in patients termed functional high-risk (FHR). To improve decision-making and optimise outcome, there is an unmet need for precise identification of high-risk (HR) patients, to enable tailored therapeutic strategies. With a complex and rapidly evolving treatment landscape, artificial intelligence (AI) and digital twin (DT) technology have emerged as potential tools for personalized medicine in MM. Through the integration and analysis of large data generated in clinical trials, registries and real-world cohorts, AI can inform therapy selection by creating advanced predictive models. DT, virtual patient-specific disease replicas, act as a dynamic, bidirectional bridge between real-world clinical data and computational simulations. Continuous acquisition of patient data, synchronized with DTs through AI-driven architectures, facilitates iterative risk recalibration. This ensures the virtual models accurately reflect evolving disease biology and treatment response. This review provides an overview of current and emerging risk stratification in MM, including genomic-based definitions of HR disease and the concept of FHR MM. We described the role, limitations and controversies of AI and DT in refining risk assessment, their predictive capacity for outcomes and therapy selection. Finally, we provide perspectives on the future of AI application in MM.","url":"https://doi.org/10.3389/fdgth.2026.1771531","authors":["Cindy H. Lee","Yang Zhang","Barbara J. McClure","Angelina Yong","Hamish S. Scott","Chung Hoow Kok"],"tags":["Disease","Artificial intelligence","Precision medicine","Machine learning","Personalized medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.3389/fdgth.2026.1771531","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4360616589","name":"Comprehensive Review of Recent Advancements in Battery Technology, Propulsion, Power Interfaces, and Vehicle Network Systems for Intelligent Autonomous and Connected Electric Vehicles","source":"openalex","abstract":"Numerous recent innovations have been achieved with the goal of enhancing electric vehicles and the parts that go into them, particularly in the areas of managing energy, battery design and optimization, and autonomous driving. This promotes a more effective and sustainable eco-system and helps to build the next generation of electric car technology. This study offers insights into the most recent research and advancements in electric vehicles (EVs), as well as new, innovative, and promising technologies based on scientific data and facts associated with e-mobility from a technological standpoint, which may be achievable by 2030. Appropriate modeling and design strategies, including digital twins with connected Internet of Things (IoT), are discussed in this study. Vehicles with autonomous features have the potential to increase safety on roads, increase driving economy, and provide drivers more time to focus on other duties thanks to the Internet of Things idea. The enabling technology that entails a car moving out of a parking spot, traveling along a long highway, and then parking at the destination is also covered in this article. The development of autonomous vehicles depends on the data obtained for deployment in actual road conditions. There are also research gaps and proposals for autonomous, intelligent vehicles. One of the many social concerns that are described is the cause of an accident with an autonomous car. A smart device that can spot strange driving behavior and prevent accidents is briefly discussed. In addition, all EV-related fields are covered, including the likely technical challenges and knowledge gaps in each one, from in-depth battery material sciences through power electronics and powertrain engineering to market assessments and environmental assessments.","url":"https://doi.org/10.3390/en16062925","authors":["Ghulam E Mustafa Abro","Saiful A. Zulkifli","Kundan Kumar","Najib El Ouanjli","Vijanth Sagayan Asirvadam","Mahmoud A. Mossa"],"tags":["Software deployment","Battery (electricity)","Propulsion","Computer science","Transport engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-22","doi":"https://doi.org/10.3390/en16062925","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412161806","name":"Digital Twins for Food Supply Chain Sustainability: Rapid Literature Review and Conceptual Model","source":"openalex","abstract":"Digital Twin (DT) technology offers significant potential to enhance supply chains performances. Thus, the adoption of DTs in food supply chains (FSCs), will have enormous promise for improving sustainability, efficiency, and resilience This paper presents a conceptual framework based on a rapid review of DT applications in FSCs and divided into three sections. The first section provides a literature review on DT components, and FSC sustainability challenges. The second section explores the implementations of DT in FSCs, examining integration levels, key findings, benefits such as waste reduction and improved traceability. Building on these insights, this article develops a comprehensive framework for integrating DT into FSC sustainability, emphasizing its application in pre-adoption, adoption, and post-adoption phases. The framework identifies DT capabilities, technological enablers, barriers, and the economic, social, and environmental impacts of DT adoption, in the context of FSC sustainability. This study highlights critical opportunities in the field, contributing to advancing the application of DT as a strategic enabler of resilient and sustainable food systems.","url":"https://doi.org/10.46254/af6.20250148","authors":["Sara Bouraya","Akram El Korchi"],"tags":["Sustainability","Conceptual model","Supply chain","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-07","doi":"https://doi.org/10.46254/af6.20250148","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7161706151","name":"Digital twin-driven fault diagnosis of power substations by multi-modal fusion learning","source":"europepmc","abstract":"Abstract Substations are critical infrastructures for ensuring reliable power system operation. With increasing digitalization and system complexity, the rapid growth of multi-source data poses significant challenges for accurate and timely fault diagnosis. Existing approaches often struggle to effectively integrate heterogeneous data or adapt to varying operating conditions. To address these limitations, this study proposes a digital twin-driven fault diagnosis framework incorporating a multi-modal fusion model that integrates system topology, alarms, fault waveforms, and SCADA data through Graph Attention Networks and self-attention mechanisms. In this work, the method is validated on a 110 kV substation using 11,597 training and 3,890 testing scenarios generated in CloudPSS. Experimental results demonstrate over 95% accuracy in fault location, 97% in fault type identification, and 90% accuracy in protection failure detection under 30% data loss conditions. The deployed digital twin system further verifies the practical feasibility of the proposed approach, highlighting its robustness in complex operating environments.","url":"https://doi.org/10.1038/s41467-026-73483-5","authors":["Yulun Wu","Ying Chen","Tannan Xiao","Lifu Ding"],"tags":["SCADA","Computer science","Robustness (evolution)","Fault (geology)","Reliability engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1038/s41467-026-73483-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"oa:W7147530211","name":"Digital Fascism and Digital Capitalism","source":"openalex","abstract":"What is digital fascism? What is digital capitalism? How are they related? This article theorises digital fascism as a contemporary form of right-wing authoritarianism rooted in capitalism and reorganised through digital infrastructures. Building on the Frankfurt School’s analysis of authoritarianism, it reconceptualises fascism as a terroristic, anti-democratic mode of organisation – leadership cults, nationalism, friend/enemy polarisation, and militant patriarchy – whose resurgence is catalysed by capitalist crises. The paper advances a dual framework: fascist practices (cognition, communication, co-production) and digital structures (platforms, algorithms, datafication) recursively produce one another – the tripleC dynamic – enabling user-generated hate, post-truth propaganda, algorithmic targeting, cyberattacks, and digitally mediated violence. Ten historical hypotheses map shifts from broadcast propaganda to influencer networks, from street militias to partially automated conflict, and from overt anti-democracy to “creeping” authoritarianism that claims democratic legitimacy. Integrating political-economy evidence, the article demonstrates how key fractions of digital, financial, and fossil/transport capital fund and legitimise emergent authoritarian projects, crystallising an authoritarian digital capitalism whose boundary with digital fascism is porous. The conclusion argues for a digital democracy that counters the fusion of big business and big power in the digital age. Acknowledgement: This paper was first published in the journal Philosophy & Social Criticism. Using a CC-BY license, the original article has been reproduced in tripleC: https://doi.org/10.1177/01914537261434922","url":"https://doi.org/10.31269/2f8w2p37","authors":["Christian Fuchs"],"tags":["Capitalism","Authoritarianism","Sociology","Militant","Capital (architecture)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-31","doi":"https://doi.org/10.31269/2f8w2p37","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416599319","name":"Digital Twin Technology for Personalized Rural Tourism Product Development: A Case Study Approach","source":"openalex","abstract":"Modern rural tourism is confronted with increased challenges to find customized products for varied visitor needs while traditional processes are burdened by long cycles and limited real-time analysis opportunities. This study examines the use of digital twin technology in customized rural tourist product innovation by case study of a Jiangsu Province location that has been adapting since March 2023. Qualitative field research through eighteen interviews, participant observation, and documentary analysis is noted to reflect four-layered architectural convergence by utilizing 120 IoT sensors producing 2.8 million daily data points makes a significant impact in terms of 72% cycle reduction, portfolios quadrupling, and 64% to 91% accuracy improvement in need-matching. Commercial feasibility is confirmed through economic performance through 37% visitor and 44% revenue augmentation worth ¥41.3 million. Theoretical knowledge of digital twin deployment to tourism service situations is supported by evidence and offers practical guidelines for implementation by destination managers to aim for technology-facilitated competitive advantage.","url":"https://doi.org/10.63808/tvca.v1i2.248","authors":["Shanshan Cheng"],"tags":["Tourism","Visitor pattern","Product (mathematics)","Revenue","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-24","doi":"https://doi.org/10.63808/tvca.v1i2.248","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W3038559317","name":"Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology","source":"openalex","abstract":"Polymer electrolyte membrane (PEM) fuel cells are electrochemical devices that directly convert the chemical energy stored in fuel into electrical energy with a practical conversion efficiency as high as 65%. In the past years, significant progress has been made in PEM fuel cell commercialization. By 2019, there were over 19,000 fuel cell electric vehicles (FCEV) and 340 hydrogen refueling stations (HRF) in the U.S. (~8,000 and 44, respectively), Japan (~3,600 and 112, respectively), South Korea (~5,000 and 34, respectively), Europe (~2,500 and 140, respectively), and China (~110 and 12, respectively). Japan, South Korea, and China plan to build approximately 3,000 HRF stations by 2030. In 2019, Hyundai Nexo and Toyota Mirai accounted for approximately 63% and 32% of the total sales, with a driving range of 380 and 312 miles and a mile per gallon (MPGe) of 65 and 67, respectively. Fundamentals of PEM fuel cells play a crucial role in the technological advancement to improve fuel cell performance/durability and reduce cost. Several key aspects for fuel cell design, operational control, and material development, such as durability, electrocatalyst materials, water and thermal management, dynamic operation, and cold start, are briefly explained in this work. Machine learning and artificial intelligence (AI) have received increasing attention in material/energy development. This review also discusses their applications and potential in the development of fundamental knowledge and correlations, material selection and improvement, cell design and optimization, system control, power management, and monitoring of operation health for PEM fuel cells, along with main physics in PEM fuel cells for physics-informed machine learning. The objective of this review is three fold: (1) to present the most recent status of PEM fuel cell applications in the portable, stationary, and transportation sectors; (2) to describe the important fundamentals for the further advancement of fuel cell technology in terms of design and control optimization, cost reduction, and durability improvement; and (3) to explain machine learning, physics-informed deep learning, and AI methods and describe their significant potentials in PEM fuel cell research and development (R&D).","url":"https://doi.org/10.1016/j.egyai.2020.100014","authors":["Yun Wang","Bongjin Seo","Bowen Wang","Nada Zamel","Kui Jiao","Xavier Cordobes Adroher"],"tags":["Commercialization","Proton exchange membrane fuel cell","Durability","Hydrogen fuel","Fuel cells"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-29","doi":"https://doi.org/10.1016/j.egyai.2020.100014","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416128435","name":"A Systematic Review of Intelligent Agents, Language Models, and Recurrent Neural Networks in Industrial Maintenance: Driving Value Creation for the Mining Sector","source":"openalex","abstract":"This PRISMA 2020–compliant systematic review examines how intelligent agents, large language models (LLMs), and recurrent neural networks (RNNs) can be combined for industrial maintenance, with a sector‐specific focus on mining. Scopus and Web of Science (2018–2025) were searched using replicable queries, and a dual text‐representation pipeline (TF–IDF with bi/trigrams and sentence‐transformer embeddings) was applied. Model selection scanned k over a predefined grid with internal indices (Silhouette, Davies–Bouldin, and Calinski–Harabasz), and robustness was assessed through multiseed stability, bootstrap consensus, representation‐sensitivity checks, and a control run with HDBSCAN. Study quality and risk of bias were appraised with an AI‐and‐control–oriented matrix (ACE‐QA). Two macroclusters emerged. The first centers on distributed control, consensus and formation, fault tolerance, observers, and learning‐based designs (fuzzy/neural/RL), including finite/predefined‐time and event/dynamic event–triggered mechanisms. The second addresses secure and resilient cooperation under cyber threats (DoS, deception, and FDIA), integrating observer‐based estimation and communication‐efficient protocols. Cross‐cutting findings indicate that event‐triggered updates reduce bandwidth and compute requirements, while robust estimation and fault‐tolerant control improve availability under harsh conditions and intermittent networks—typical in mining. A maturity map suggests high technical readiness and growing adoption for RNN‐based sensing analytics, advancing readiness but emerging adoption for multiagent coordination, and early adoption of LLMs for text‐grounded maintenance intelligence. Evidence gaps persist in replicability, cross‐site transfer, uncertainty reporting, and mining‐grade validation at the edge. A design agenda is outlined that prioritizes digital‐twin stress testing, edge‐first evaluation of agent coordination, secure‐by‐design pipelines (authenticated/encrypted messaging and adversarial testing), and shift‐aware validation. In sum, a hybrid stack—RNNs for perception, LLMs for knowledge grounding, and agents for coordinated action—offers a practical route to reliable, secure, and communication‐efficient predictive maintenance in Mining 4.0.","url":"https://doi.org/10.1155/int/9953223","authors":["Luis Rojas","Beatriz Muriel Hernández","José García"],"tags":["Computer science","Robustness (evolution)","Risk analysis (engineering)","Recurrent neural network","Scopus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1155/int/9953223","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4376955598","name":"Towards a seamless data cycle for space components: considerations from the growing European future digital ecosystem Gaia-X","source":"openalex","abstract":"Abstract ESA’s Design 2 produces cross-cutting initiative includes digitalisation, process automation, interoperability, and harnessing smart embedded sensors to achieve a seamless data cycle (SDC). The SDC in digital engineering covers requirements and design, production, assembly, integration, and testing as well as in-flight operations including recycling. Nevertheless, central data and legal challenges lie in the joint research addressed Europe-wide (geo-return) and the partner network constraints covering agency, large system integrator (LSI), research and development (R&D), and high-tech SME interests. Either way, a legal enabler for digitization of the European space business can be seen in ESA's strict compliance policy with regard to the acceptance of their general terms and conditions. In fact, it is reasonable to assume that ESA declares data to be a common deliverable in the future and that the contractors accept this too. However, there are technical challenges like portability, interoperability, interconnectivity, and the need for a federated infrastructure, while all these aspects have to be solved across company and national borders. The European Gaia-X project tackles the aforementioned challenges while targeting an open, transparent, and secure digital ecosystem in which data are stored, processed, and used while retaining data sovereignty. This paper deepens these framework conditions, addresses them from the perspective of real space applications, and presents key opportunities and challenges at the implementation level. Moreover, it shows how the seamless data cycle contributes to increase freedom of design, improve overall performance, and reduce cost and lead time from concept to manufacturing while creating new high-performance space products.","url":"https://doi.org/10.1007/s12567-023-00500-4","authors":["André Seidel","Ken Wenzel","Albrecht Hänel","Uwe Teicher","Annette Weiß","U. Schäfer","Steffen Ihlenfeldt","H. Eisenmann","Holger Ernst"],"tags":["Interoperability","Deliverable","Systems engineering","Interconnectivity","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-16","doi":"https://doi.org/10.1007/s12567-023-00500-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413508609","name":"Digital Twins and Holograms in STEM Education: A Systematic Review of Pedagogical Models, Benefits, and Barriers","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7433004/v1","authors":["Mohammed Alaidaros","Siti Hajar Mohamed"],"tags":["Holography","Psychology","Computer science","Optics","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-25","doi":"https://doi.org/10.21203/rs.3.rs-7433004/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412006391","name":"Sensitivity Analysis and Uncertainty Quantification of a Digital Twin-Based Simulator for Small Modular and Microreactors","source":"openalex","abstract":"Abstract For a digital twin (DT) to be effective, it must accurately represent the system it models. Sensitivity Analyses (SA) and Uncertainty Quantification (UQ) are crucial for enhancing the adaptability and reliability of DTs under system variations and uncertainties. This paper presents a comprehensive SA and UQ of a DT-based simulator for Advanced Small-scale (Gen IV) Reactors, focusing on a conceptual 4.5 MWth Small Modular Lead-cooled Fast Reactor (LFR). The simulator integrates design aspects from the main LFR families and seamlessly connects with instrumentation and control (I&C) systems via an advanced human-machine interface (HMI), enabling real-time visualization of reactor transients to enhance operational safety and efficiency. The Sobol global sensitivity analysis was employed to rank influential parameters affecting reactor performance, focusing on first-order and total sensitivity indices. Results showed that at full operating power, key contributors to output variance included coolant heat capacity, core inlet/outlet temperatures, initial (nominal) power, and structural parameters like fuel pitch and radius. Neutron decay fractionswere significant at full power but diminished at lower powers. Time-dependent analysis revealed coolant heat capacity as the dominant factor, while derived parameters had minimal impact. UQ findings indicated that coolant bulk temperature exhibited the highest variability, while cladding temperature had the lowest.Based on these results, optimizations were made to enhance the DT framework’s robustness and effectiveness in simulating reactor dynamics while adhering to safety standards. This research underscores the importance of incorporating advanced SA and UQ techniques in digital twin technologies, vital for risk management and model validation. These findings could inform future design and operational decisions in reactor technology, impacting regulatory practices and industry standards to support the safe and efficient deployment of next-generation nuclear technologies","url":"https://doi.org/10.1115/vvuq2025-152220","authors":["Zavier Ndum Ndum","Doyeong Lim","Yassin A. Hassan","Yang Liu"],"tags":["Modular design","Sensitivity (control systems)","Microreactor","Computer science","Simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-09","doi":"https://doi.org/10.1115/vvuq2025-152220","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411379002","name":"Digital design and optimization of the integrated synthesis and crystallization process using data‐driven approaches","source":"openalex","abstract":"Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines generative adversarial networks (GANs), artificial neural networks (ANNs), and genetic algorithms (GAs). An integrated dual‐GAN (ID‐GAN) generates data under physicochemical constraints, which are merged with real data to train an ANN with 15%–20% mean absolute errors for particle size, productivity, and a sustainability throughput index. The ANN is then coupled with a GA to identify Pareto‐optimal solutions based on user‐defined objectives and constraints. Case studies validate the framework's capability to facilitate process design decisions by systematically exploring trade‐offs among competing objectives, underscoring its potential utility in the digitalization of critical units within continuous manufacturing systems.","url":"https://doi.org/10.1002/aic.18931","authors":["Yiming Ma","Wei Li","Jiaxu Liu","Gao Shang","Huaiyu Yang","Junbo Gong","Zoltán K. Nagy","Brahim Benyahia"],"tags":["Crystallization","Process (computing)","Process engineering","Computer science","Process optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-17","doi":"https://doi.org/10.1002/aic.18931","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7118092783","name":"Digital twin and BIM adoption in construction project management: a quantitative expert-based study","source":"openalex","abstract":"This study investigates the role of Digital Twin (DT) services in facilitating the adoption of Building Information Modeling (BIM) in construction project management. Despite growing interest in digital transformation within the Architecture, Engineering, and Construction (AEC) industry, empirical evidence on how DT influences BIM implementation remains limited. To address this gap, a structured questionnaire was developed through an extensive literature review and distributed to 53 professionals actively engaged in BIM and DT applications, including contractors, consultants, and academics. The collected data were analyzed using SPSS with reliability tests (Cronbach’s Alpha), Pearson correlation, independent-samples t-tests, and one-way ANOVA with post-hoc analysis. The results revealed strong internal consistency of the survey instrument (Cronbach’s Alpha = 0.944), confirming the robustness of the measurement scale. Correlation analysis showed significant positive associations between DT service factors and BIM adoption (p 0.01). Group comparisons demonstrated that perceptions of DT’s contribution to BIM adoption varied across organizational roles, with notable differences between contractors, consultants, and research institutions (p 0.05). These findings highlight the synergistic relationship between DT and BIM, suggesting that integrating DT services can enhance BIM utilization and overall project performance. The study contributes to academic knowledge and professional practice by providing empirical evidence of DT’s enabling role in digital transformation. Practical implications include guiding policymakers, project managers, and technology providers in making informed decisions regarding DT-enabled BIM adoption. Although limited by its sample size and geographic scope, this research lays the groundwork for future studies employing larger international datasets and advanced statistical modeling. The results confirm the critical importance of DT services in accelerating successful BIM implementation across the construction sector.","url":"https://doi.org/10.22363/2312-8313-2025-12-4-509-519","authors":["Luan M. Nguyen","Luat V. Nguyen","Kien V Vu","Ngoc T. Pham"],"tags":["Knowledge management","Building information modeling","Consistency (knowledge bases)","Empirical research","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-15","doi":"https://doi.org/10.22363/2312-8313-2025-12-4-509-519","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4296578508","name":"A REVIEW OF RESEARCH ON ADAPTIVE BEAMFORMING AND DIGITAL SIGNAL PROCESSING","source":"openalex","abstract":"Introduction: Recently, there has been an active development of algorithms for adaptive beamforming. Such work is required in order to improve the efficiency of receiving a useful signal, especially in mobile communication systems. This article provides an overview of research on this topic. Papers devoted to the improvement of the classical least mean square algorithm, blind signal separation methods, antenna selection algorithms in MIMO systems and other topics of adaptive signal processing are presented. Practical relevance: Adaptive beamforming is a key development for modern wireless communication systems, in particular 5G. Increasing requirements that impose a limitation on the spectral bandwidth of the signal and its center frequency with limited signal power lead to the strategy of forming a narrow signal transmission beam, thereby increasing the energy efficiency of signal transmission and reducing the overhead associated with the reception of various interference. This article provides an overview of studies on this topic. The results of the analysis of works devoted to the improvement of the classical algorithm for minimizing the mean square error, blind signal separation, antenna selection algorithms in systems of several antennas, and other topics of adaptive signal processing are presented. Discussion: It is shown that the main directions of research are focused on the improvement of classical diagramming algorithms, as well as on the improvement of methods for receiving digital signals in MIMO systems. Algorithms for recognizing the type of signal modulation, an algorithm for blind separation of second-order signals, an improved algorithm for automatic gain control, an algorithm for suppressing noise-like interference, and an algorithm for estimating radiation pattern parameters were also considered.","url":"https://doi.org/10.36724/2409-5419-2021-13-6-16-21","authors":["NIKITA Y. LIBEROVSKIY","V. S. Priputin","DENIS S. CHIROV"],"tags":["Computer science","Adaptive beamformer","Beamforming","Signal processing","Electronic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.36724/2409-5419-2021-13-6-16-21","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4416735777","name":"Digital twins as a key element of the energy of the future: the connection with Kondratiev’s theory of long waves","source":"openalex","abstract":"The article examines the role of digital twin technology as a key instrument of the digital transformation of the energy sector. In economic science, N.D. Kondratiev’s long wave theory, which postulates that the development of the world economy follows cyclical patterns of prolonged periods of growth and decline (~50–60 years), has gained wide recognition. The study applies a systematic analysis of scientific literature and practical cases of digital twin implementation in the energy sector, correlating these findings with the phases of long economic cycles. Special attention is given to the ways in which digital twins can support the integration of renewable energy sources, enhance the reliability of power systems, and accelerate the energy transition. The novelty of the research lies in considering digital twins not only as a tool for optimizing individual processes but also as one of the basic innovations of the emerging sixth technological paradigm focused on sustainable development. The article argues that digital twins act as a bridge between digital and “green” transformations, contributing to the formation of a new energy paradigm. It concludes that this technology has significant potential in the context of the forthcoming sixth Kondratiev long wave.","url":"https://doi.org/10.17073/2072-1633-2025-3-1463","authors":["S. E. Gvozdyanyy","A. V. Myaskov"],"tags":["Kondratiev wave","Novelty","Key (lock)","Context (archaeology)","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-21","doi":"https://doi.org/10.17073/2072-1633-2025-3-1463","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414064408","name":"GenAI-Based Digital Twins Aided Data Augmentation Increases Accuracy in Real-Time Cokurtosis-Based Anomaly Detection of Wearable Data","source":"openalex","abstract":"Early detection of potential infectious disease outbreaks is crucial for developing effective interventions. In this study, we introduce advanced anomaly detection methods tailored for health datasets collected from wearables, offering insights at both individual and population levels. Leveraging real-world physiological data from wearables, including heart rate and activity, we developed a framework for the early detection of infection in individuals. Despite the availability of data from recent pandemics, substantial gaps remain in data collection, hindering method development. To bridge this gap, we utilized Wasserstein Generative Adversarial Networks (WGANs) to generate realistic synthetic wearable data, augmenting our dataset for training. Subsequently, we use these augmented datasets to implement a cokurtosis-based technique for anomaly detection in multivariate time-series data. Our approach includes a comprehensive assessment of uncertainties in synthetic data compared to the actual data upon which it was modeled, as well as the uncertainty associated with fine-tuning anomaly detection thresholds in physiological measurements. Through our work, we present an enhanced method for early anomaly detection in multivariate datasets, with promising applications in healthcare and beyond. This framework could revolutionize early detection strategies and significantly impact public health response efforts in future pandemics.","url":"https://doi.org/10.3390/s25175586","authors":["Methun Kamruzzaman","Jorge Salinas","Hemanth Kolla","Kenneth L. Sale","Uma Balakrishnan","Kunal Poorey"],"tags":["Anomaly detection","Computer science","Wearable computer","Data mining","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-07","doi":"https://doi.org/10.3390/s25175586","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7202082025","name":"A Tiered Digital Twin that Brings Predictive Diagnostics to Resource-Constrained Renewable Energy Sites","source":"openalex","abstract":"This paper develops a conceptual framework for digital twins for renewable asset management that treats engineering innovation and socio-technical analysis as a single integrated design problem rather than as separate concerns addressed in sequence. The framework is motivated by a persistent pattern in which technically sound interventions falter in the field because the social and institutional conditions that govern their durability are neither measured nor designed for. In response, this paper articulates a model in which social variables, centrally deliberate redistribution of diagnostic capability toward community-operated sites, are rendered explicit and brought into the design problem on the same footing as technical parameters. The contribution is conceptual: this paper sets out the foundations of the framework, specifies its components and the relationships among them, illustrates its reasoning, and derives design and policy implications, with the aim of supporting energy systems that are simultaneously technically efficient, economically accessible, socially responsive, and adaptable to developing and resource- dependent regions","url":"https://doi.org/10.56201/ijemt.v9.no3.2023.pg287.347","authors":["Marvin Komi Nenubari","Ibukun Olaoluwa Adeniji"],"tags":["Renewable energy","Risk analysis (engineering)","Asset (computer security)","Field (mathematics)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-10","doi":"https://doi.org/10.56201/ijemt.v9.no3.2023.pg287.347","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"oa:W4404977987","name":"An immersive interface for remote collaboration with multiple telepresence robots through digital twin spaces","source":"openalex","abstract":"A human-robot collaboration system “Telecobot” is proposed, in which a remote user allocates tasks to multiple telepresence robots via digital twin spaces. The digital twin spaces of local sites where robots work is used as a medium to observe the real spaces from a remote site and to give instructions to the smart robots on the local site. Telecobot supports a remote user understanding the real-time status of local sites distributed geographically and allocating tasks to each of the robots. We assume that the robots are smart enough to execute the series of tasks assigned by the remote user. This division of roles is a major characteristic of Telecobot, where a remote user is responsible for judging the situation and building a series of tasks via the digital twin space, while multiple robots working in each of the local sites executes the individual tasks following the information built by the remote user in the digital twins of the local sites. An experiment assuming telecollaboration with smart robots working at nursing care sites demonstrated the division of roles for the care works and showed the potential of increasing the productivity of the work by using the Telecobot interface.","url":"https://doi.org/10.1145/3681756.3697940","authors":["Sawa Yoshioka","Shinichi Fukushige","Kohta Seki","Mizuki Kawakami"],"tags":["Computer science","Human–computer interaction","Robot","Interface (matter)","Telerobotics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-02","doi":"https://doi.org/10.1145/3681756.3697940","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7137619794","name":"Digital Twins for Nuclear and Particle physics - NPTwins 2025","source":"openalex","abstract":"","url":"https://openalex.org/W7137619794","authors":["Pierfrancesco Cifra"],"tags":["Physics","Particle (ecology)","Nuclear physics","Statistical physics","Population"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7108461155","name":"Digital Twin in Healthcare Market Outlook 2025-2030: Trends, Opportunities, and Forecasts","source":"openalex","abstract":"The global Digital Twin in Healthcare Market is projected to grow from USD 1.57 billion in 2025 to USD 4.69 billion by 2030, driven by AI, IoT, and machine learning integration. Advanced digital twins are transforming personalized medicine, predictive care, and hospital operations worldwide. To access the full report, visit - https://www.nextmsc.com/report/digital-twins-in-healthcare-market","url":"https://doi.org/10.5281/zenodo.17798029","authors":["Next Move Strategy Consulting"],"tags":["Business","Health care","Digital health","Finance","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.5281/zenodo.17798029","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4414950458","name":"Digital assets in zero-defect manufacturing: literature review and proposed framework","source":"openalex","abstract":"Market demand for customised, quality-focused products is driving the digital transformation of the manufacturing industry, placing digital asset management at the forefront of Industry 4.0. Digital assets, virtual representations of physical assets, are essential for successfully implementing Industry 4.0 strategies. Understanding the lifecycle of these assets, from design to disposal, is crucial for automating manufacturing processes and minimising product defects. Digital assets complemented by innovative technologies have therefore become increasingly important in zero-defect manufacturing (ZDM) practices, due to their ability to leverage data to improve product quality. However, existing literature takes a fragmented approach, hindering the understanding and integration of digital assets into ZDM frameworks. To address this, this study explores three interrelated dimensions: digital assets, ZDM and the asset lifecycle. A systematic review of 68 recent academic articles was conducted to highlight prevailing trends and synthesise findings in these critical areas. The result is a coherent, practical, integrative framework that provides practitioners and academics with guidance and research directions to help them achieve standardised adoption of digital assets within Industry 4.0. The contribution is operationalised through a Digital-Asset-Driven ZDM (DA-ZDM) reference architecture, emphasising a closed-loop quality pipeline enabled by MLOps to sustain prediction-prevention and detection-repair cycles in real time.","url":"https://doi.org/10.1080/00207543.2025.2563746","authors":["Miguel Á. Mateo-Casalí","Andrés Boza","Francisco Fraile"],"tags":["Computer science","Business","Process management","Production (economics)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-07","doi":"https://doi.org/10.1080/00207543.2025.2563746","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3161594686","name":"The Roadmap to 6G Security and Privacy","source":"openalex","abstract":"Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion. Therefore, in order to consolidate and solidify the security and privacy in 6G networks, we survey how security may impact the envisioned 6G wireless systems, possible challenges with different 6G technologies, and the potential solutions. We provide our vision on 6G security and security key performance indicators (KPIs) with the tentative threat landscape based on the foreseen 6G network architecture. Moreover, we discuss the security and privacy challenges that may encounter with the available 6G requirements and potential 6G applications. We also give the reader some insights into the standardization efforts and research-level projects relevant to 6G security. In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication (VLC), THz, and quantum computing. All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.","url":"https://doi.org/10.1109/ojcoms.2021.3078081","authors":["Pawani Porambage","Gürkan Gür","Diana Pamela Moya Osorio","Madhusanka Liyanage","Andrei Gurtov","Mika Ylianttila"],"tags":["Computer science","Computer security","Standardization","Wireless","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1109/ojcoms.2021.3078081","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7117160817","name":"Intelligent Ventilation and Indoor Air Quality: State of the Art Review (2017–2025)","source":"openalex","abstract":"Intelligent ventilation is positioned as a key axis for reconciling energy efficiency and indoor air quality (IAQ) in residential and non-residential buildings. This review synthesizes 51 recent publications covering control strategies (DCV, MPC, reinforcement learning), IoT architectures and sensor validation, energy recovery (HRV/ERV, anti-frost strategies, low-loss exchangers, PCM-air), active envelope solutions (thermochromic windows) and passive solutions (EAHE), as well as evaluation methodologies (uncertainty, LCA, LCC, digital twin) and smart readiness indicator (SRI) frameworks. Evidence shows ventilation energy savings of up to 60% without degrading IAQ when control is well-designed, but also possible overconsumption when poorly parameterized or contextualized. Performance uncertainty is strongly influenced by occupant emissions and pollutant sources (bioeffluents, formaldehyde, PM2.5). The integration of predictive control, scalable IoT networks, and robust energy recovery, together with life-cycle evaluation and uncertainty analysis, enables more reliable IAQ-energy balances. Gaps are identified in VOC exposure under DCV, robustness to sensor failures, generalization of ML/RL models, and standardization of ventilation effectiveness metrics in natural/mixed modes.","url":"https://doi.org/10.3390/buildings16010065","authors":["Carlos Rizo-Maestre","José María Flores-Moreno","Amor Nebot Sanz","Víctor Echarri Iribarren"],"tags":["Indoor air quality","Building automation","Ventilation (architecture)","Robustness (evolution)","Building envelope"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-23","doi":"https://doi.org/10.3390/buildings16010065","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3130559101","name":"Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing","source":"openalex","abstract":"Wireless communication at the terahertz (THz) frequency bands (0.1–10 THz) is viewed as one of the cornerstones of tomorrow’s 6G wireless systems. Owing to the large amount of available bandwidth, if properly deployed, THz frequencies can potentially provide significant wireless capacity performance gains and enable high-resolution environment sensing. However, operating a wireless system at high-frequency bands such as THz is limited by a highly uncertain and dynamic channel. Effectively, these channel limitations lead to unreliable intermittent links as a result of an inherently short communication range, and a high susceptibility to blockage and molecular absorption. Consequently, such impediments could disrupt the THz band’s promise ofhigh-rate communications and high-resolution sensingcapabilities. In this context, this paper panoramically examines the steps needed to efficiently and reliably deploy and operate next-generation THz wireless systems that will synergistically support a fellowship of communication and sensing services. For this purpose, we first set the stage by describing the fundamentals of the THz frequency band. Based on these fundamentals, we characterize and comprehensively investigateseven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization. These seven defining features allow us to shed light on how to re-engineer wireless systems as we know them today so as to make them ready to support THz bands and their unique environments. On the one hand, THz systems benefit from their quasi-opticality andcan turn every communication challenge into a sensing opportunity, thus contributing to a new generation ofversatile wireless systemsthat can perform multiple functions beyond basic communications. On the other hand, THz systems can capitalize on the role of intelligent surfaces, lower frequency bands, and machine learning (ML) tools to guarantee a robust system performance. We conclude our exposition by presenting the key THz 6G use cases along with their associated major challenges and open problems. Ultimately, the goal of this article is to chart a forward-looking roadmap that exposes the necessary solutions and milestones for enabling THz frequencies to realize their potential as a game changer for next-generation wireless systems.","url":"https://doi.org/10.1109/comst.2022.3143454","authors":["Christina Chaccour","Mehdi Naderi Soorki","Walid Saad","Mehdi Bennis","Petar Popovski","Mérouane Debbah"],"tags":["Terahertz radiation","Wireless","Computer science","Telecommunications","Optoelectronics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/comst.2022.3143454","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7127380685","name":"Restoring Pugin: Toward Predictive Conservation of Historical Buildings Using a Digital Twin Approach","source":"openalex","abstract":"Conservation of historic buildings has long relied on traditional, reactive methods that address deterioration only after it occurs, often leading to irreversible damage. This study introduces an innovative approach that integrates Digital Twin (DT) technology with advanced machine learning algorithms to enable predictive and data-driven conservation. Focusing on Nottingham Cathedral, a Grade II listed Gothic Revival building, this research developed a 3D Historic Building Information Model (HBIM) enhanced with real-time environmental monitoring of temperature, humidity, and air quality. The collected data were analysed using MATLABR2024a to train and evaluate several predictive algorithms, including Long Short-Term Memory (LSTM), Backpropagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Nonlinear Autoregressive Exogenous (NARX) models. The NARX model achieved the highest accuracy (Root Mean Square Error (RMSE) = 0.19) in forecasting indoor environmental conditions. Findings indicate that maintaining an indoor temperature increase of 4–6 °C can effectively reduce relative humidity below 60%, minimising deterioration risks. The study demonstrates how integrating DT and machine learning offers a proactive framework for environmental optimisation and long-term preservation of heritage assets, moving conservation practice from reactive restoration toward predictive conservation.","url":"https://doi.org/10.3390/su18031516","authors":["Benachir Medjdoub","Bubaker Shakmak","Moulay Larbi Chalal","Mohammadreza Khosravi","Rihana Sajad","Nacer Eddine Bezai","Ayesha Illangakoon"],"tags":["Backpropagation","Artificial neural network","Machine learning","Nonlinear autoregressive exogenous model","Autoregressive model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"https://doi.org/10.3390/su18031516","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W2887587846","name":"The Oil and Gas Digital Engineering Journey","source":"openalex","abstract":"Abstract Model‐based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. The INCOSE Integrated Systems Engineering Vision 2025 [INCOSE, 2014] describes how future systems engineering tools will facilitate systems engineering practices as part of a fully integrated engineering environment. A shift towards an integrated, digital engineering environment enables rapid transformation of concepts and designs to digitalized virtual prototypes and then to physical prototypes through the application of additive manufacturing technologies, such as 3D printers and the digital twin in operations. This capability enables engineers to rapidly and continually assess and update their designs prior to committing costs to production hardware. Implementing this vision will require an integrated suite of tools, technologies, and standards to support the full systems engineering and product lifecycles from requirements to design to implementation and maintenance. MBSE models are digital and executable, and using an MBSE simulation engine, they can shift risk towards early stages of project development as the asset can be tested before it is built. In operations, IoT technologies enable companies to capture and leverage information about a product's performance during operation – with the potential to dramatically improve existing and future products. Service Lifecycle Management (SLM) solutions combine IoT platform technology with service solutions. This integrated closed loop systems engineering toolset applied to the Oil and Gas Industry will ensure success of the Digital Engineering Journey. This paper will describe this Digital Engineering Journey using a Coal Seam Gas example.","url":"https://doi.org/10.1002/j.2334-5837.2018.00485.x","authors":["Matthew Hause","Steve Ashfield"],"tags":["Systems engineering","Computer science","Leverage (statistics)","Executable","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-01","doi":"https://doi.org/10.1002/j.2334-5837.2018.00485.x","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7126120040","name":"Data-efficient digital twin for turbine heat rate of industrial thermal power plant","source":"openalex","abstract":"Developing a robust and efficient data-driven digital twin system for industrial thermal power systems remains challenging due to data drift, change in operating behaviour of the system and ineffective data-sampling issues for data-driven model development. We present data-efficient model training framework that incorporates effective data sampling from large volumes of asymmetric and controlled data regimes of industrial power systems. Artificial Neural Network (ANN) model is trained on the sampled and representative dataset to predict turbine heat rate (THR) of 660-megawatt (MW) capacity thermal power plant. Later, THR is minimized by a constrained non-linear optimisation technique at 50%, 75%, and 100% capacity discharge of power plant, and the optimisation-based results are validated in the operation of the power plant with the mean absolute percentage errors of 0.79%, 2.98% and 0.33% respectively. The analysis on cost of operation and carbon dioxide (CO 2 ) reduction reveals that optimising THR through the data-efficient model training and optimisation framework can save around 13 million USD with a reduction of 28 kilotonnes (kt) of CO 2 per year. Finally, the data-efficient trained ANN model is deployed as a digital twin system for monitoring the THR and is found to be more than 90% accurate on 19000 minutes of real-time monitoring window. This research paves the way for data-efficient sampling from the controlled datasets of thermal power plants that leads to improved generalisation capacity of the trained machine learning models for their integration in the digital twin systems for monitoring the performance of industrial power systems. • Data-efficient sampling from asymmetric industrial data-distributions is presented. • Model trained on representative data sample accurately predicts turbine heat rate. • ≈USD 13 million cut in operating cost and ≈28 kt CO 2 per year reduction are achieved. • Data-driven digital twin system monitors the turbine heat rate with > 90% accuracy. • Data-efficient model training enhances the adaptability of next-generation digital tools in industrial operations.","url":"https://doi.org/10.1016/j.energy.2026.140238","authors":["Waqar Muhammad Ashraf","Shuraim Muzammil","M Nasir","Muhammad Muneeb","Syed Muhammad Arafat","Abdulelah S. Alshehri","Abdulrahman bin Jumah","Ramit Debnath","Vivek Dua","Ghulam Moeen Uddin"],"tags":["Turbine","Thermal power station","Sampling (signal processing)","Power station","Power (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-29","doi":"https://doi.org/10.1016/j.energy.2026.140238","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411100532","name":"Digital twin of a vessel during operation and assessment of its possible use for the purpose of constructing and implementing of maritime autonomous surface ships trajectory","source":"openalex","abstract":"The concept of digital twins, which is the basis and one of the conditions of the fourth industrial revolution in both the general industry and the marine industry, is considered and summarized. The terminology of the concept is analyzed, including many definitions of the term “digital twin”, as well as various approaches to the implementation of this concept in practice. Various types of digital twins, which were introduced by the founder of the concept M. Reeves, are considered: the digital twin of the prototype, the digital twin of the sample, the aggregated digital twin and the operational digital twin. The principles of building a ship's digital twin are substantiated, including individuality, identity, and the need to use mathematical models, machine learning, and artificial intelligence in its structure. A scheme of functioning of a ship's digital twin during operation is constructed, which contains a physical space – a ship, sensors, vessels of the same type, target vessels; navigation space; virtual space – digital twins of ship components, processes, navigation space, other vessels, as well as an operational digital twin designed for targeted information processing. The problems of integrating the concept of digital twins into the development of marine autonomous surface vessels (MASV) are identified, related to the need to store and process a large amount of data, the lack of generally accepted standards for such data, as well as the problem of adequate perception of information by an external captain during remote control of the vessel. In the context of the evolution of the MASV, a predictive assessment of the role of digital twins in the functioning of autonomous vessels in various periods of their evolution has been made, with an emphasis on the task of constructing and implementing the trajectory of the MASV.","url":"https://doi.org/10.24143/2073-1574-2025-2-48-58","authors":["Sergey V. Ermakov","Elena Vadimovna Mulina","Nikita Zhanovich Malinin"],"tags":["Trajectory","Unmanned surface vehicle","Marine engineering","Aeronautics","Surface (topology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.24143/2073-1574-2025-2-48-58","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4407105546","name":"Framework for Asset Digitalization: IoT Platforms and Asset Health Index in Maintenance Applications","source":"openalex","abstract":"This study proposes a comprehensive framework for digitalizing and managing assets with low initial digital maturity, focusing on their operation and maintenance (O&M) lifecycle. The framework integrates Internet of Things (IoT) networks with Asset Health Index (AHI) models through four interconnected components. The Asset Definition Model ensures standardized data representation based on IEC 81346-1:2022 and ISO 14224:2016, while the Asset Criticality Model prioritizes maintenance actions using risk-informed analysis. The Asset Monitoring Model enables real-time data acquisition through IoT sensors, facilitating condition-based monitoring and dynamic decision-making. Finally, the Intelligent Asset Management Models support long-term planning by simplifying data complexity and aligning with advanced maintenance strategies. A case study on bridge maintenance demonstrates the practical value of the framework, showcasing its ability to integrate real-time monitoring with predictive decision-making tools. By bridging asset monitoring and lifecycle planning, the framework enhances operational efficiency, reduces maintenance costs, and addresses the challenges posed by limited digital maturity in critical infrastructure. This approach represents a significant advancement in the digital transformation of maintenance management.","url":"https://doi.org/10.3390/app15031524","authors":["Eduardo Candón Fernández","Adolfo Crespo Márquez","Antonio Guillén","Eduardo Hidalgo Fort"],"tags":["Business","Asset (computer security)","Internet of Things","Index (typography)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-02","doi":"https://doi.org/10.3390/app15031524","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4409365010","name":"Digitalization as an Enabler in Railway Maintenance: A Review from “The International Union of Railways Asset Management Framework” Perspective","source":"openalex","abstract":"This paper conducts a comprehensive review of the role of digitalization in railway maintenance management, particularly through the lens of the International Union of Railways (UIC) asset management framework. The study aims to assess how digital technologies such as Big Data, the Internet of Things (IoT), and Artificial Intelligence (AI) serve as enablers for more efficient and effective maintenance practices in the railway sector. By employing a bibliometric analysis, we identify the current trends, challenges, and gaps in the literature concerning the integration of digital tools into maintenance management frameworks. The findings reveal that while digitalization offers significant potential for optimizing maintenance operations and enhancing decision-making processes, its successful implementation requires a more integrated approach that aligns with the strategic goals of railway organizations. This paper also discusses future research directions, emphasizing the need for a global framework incorporating technological advancements and organizational change to achieve sustainable and safe railway operations.","url":"https://doi.org/10.3390/infrastructures10040096","authors":["Mauricio Rodríguez","Adolfo Crespo Márquez","Antonio Sánchez-Herguedas","Vicente González-Prida"],"tags":["Enabling","Perspective (graphical)","Asset management","Asset (computer security)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-11","doi":"https://doi.org/10.3390/infrastructures10040096","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4413468743","name":"Introducing the Manufacturing Digital Passport (MDP): A New Concept for Realising Digital Thread Data Sharing in Aerospace and Complex Manufacturing","source":"openalex","abstract":"In the current data-driven era, effective data sharing is set to unlock billions in value for aerospace and complex manufacturing and their supply chains by enhancing product quality, boosting manufacturing and operational efficiency, and generating new value streams. However, current practices are hindered by fragmented data ecosystems, isolated silos, and reliance on paper-based documentation. Although the Digital Thread (DTh) initiative holds promise, its implementation remains impractical due to interoperability challenges, security and intellectual property risks, and the inherent difficulty of capturing and managing the overwhelming volume of data in such complex products as a holistic thread. This paper introduces the Manufacturing Digital Passport (MDP), a novel industry-driven concept that employs a product-centric, system-independent digital carrier to facilitate targeted, structured sharing of technical product data across the supply chain. The conceptual contribution of this work is the analytical formalisation of the MDP as a value-oriented carrier that shifts DTh thinking from costly, system-wide interoperability toward an incremental, ROI-driven record of lifecycle data. Rooted in real-world challenges and built on foundational principles of modularity, value creation, and model-based structures, the MDP, by design, enhances traceability, security, and trust through a bottom-up, incremental, use case-driven approach. The paper outlines its benefits through core design principles, definition, practical features, and integration strategies with legacy systems, laying the groundwork for a structured adoption roadmap in high-value manufacturing ecosystems.","url":"https://doi.org/10.3390/systems13080700","authors":["Mohammed M. Mabkhot","Roy Kalawsky","Amer Liaqat"],"tags":["Interoperability","Computer science","Supply chain","Traceability","Data sharing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-15","doi":"https://doi.org/10.3390/systems13080700","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4407249544","name":"Digital Twin-Based Evaluation of Vehicular Controller Area Network Intrusion Detection Systems","source":"openalex","abstract":"The functions and operations of a modern automobile are becoming increasingly computerised, with this transformation made possible by Electronic Control Units (ECUs) that communicate and coordinate with each other on the in-vehicle network. Controller Area Network (CAN) is one of the most popular protocols for the in-vehicle network, supporting low latency and reliable communications. However, the CAN protocol does not have provisions for security, such as encryption, authentication, and authorisation, which makes it vulnerable to cyberattacks, particularly in today’s automotive landscape characterised by extensive connectivity with external devices, vehicles, and infrastructure. While intrusion detection systems (IDS) for CAN have emerged as a key security measure, assessing their performance against realistic attacks remains a challenge since testing with real vehicles poses significant costs and safety risks and testbeds suffer from a lack of fidelity in terms of the CAN frame transmission timings and generated payloads. This work proposes a digital twin (DT)-based framework for CAN IDS evaluation that replicates the functionality of real-world ECUs and CAN bus of a vehicle with real-time flow of data from the physical bus to its virtual representation. The main contribution of this work is a CAN DT that can not only enable the generation of realistic attack traffic for simple and sophisticated attack scenarios but also the generation of diverse combinations of attack and real driving scenarios. This DT can facilitate the evaluation of both the detection capability and performance of CAN IDS. This work presents the methodology for generating the proposed DT and discusses current findings as well as future work","url":"https://doi.org/10.31436/ijpcc.v11i1.530","authors":["Shaila Sharmin","Hafizah Mansor","Andi Fitriah Abdul Kadir","Amelia Ritahani Ismail"],"tags":["Computer science","CAN bus","Intrusion detection system","Encryption","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-30","doi":"https://doi.org/10.31436/ijpcc.v11i1.530","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4411154040","name":"Intelligent Digital Twin for Predicting Technology Discourse Patterns: Agent-Based Modeling of User Interactions and Sentiment Dynamics in DeepSeek Discourse Case","source":"openalex","abstract":"Understanding user interaction patterns during technology-triggered public discourse provides critical insights into how emerging technologies gain social meaning. This study develops an intelligent digital twin framework for modeling discourse dynamics around DeepSeek, an indigenous large language model that generated approximately 250,000 social media interactions during a 13-day period. By integrating LLM-enhanced semantic analysis with agent-based modeling, we create a comprehensive virtual representation that captures both content characteristics and behavioral dynamics. Our analysis identifies six distinct thematic domains that structure public engagement: Technological Competition, Technological Breakthrough, User Feedback, Financial Market, Social Influence, and Information Security. The agent-based simulation reveals distinctive participation and sentiment patterns across different user segments, with general users expressing stronger positive sentiments than domain experts and institutional accounts. Network analysis demonstrates the evolution from random-like initial connection patterns to scale-free structures with pronounced influence hubs. The simulation results illuminate how individual behaviors aggregate to produce complex discourse patterns, offering insights into the micro-mechanisms underlying technology reception. This research advances digital twin methodologies beyond physical systems into social phenomena, providing a framework for anticipating public responses to technological innovations and informing more effective communication strategies.","url":"https://doi.org/10.3390/systems13060451","authors":["Kaihang Zhang","Changqi Dong","Yifeng Guo","Guang Yu","Jianing Mi"],"tags":["Computer science","Sentiment analysis","Thematic analysis","Meaning (existential)","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-08","doi":"https://doi.org/10.3390/systems13060451","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7140186081","name":"Advancing digital depth: AI-enhanced 3D reconstruction for post-harvest food supply chain quality management","source":"openalex","abstract":"Traditional computer vision-based quality perception lacks depth information, limiting its application to reliable food quality management in the post-harvest supply chain. Three-dimensional (3D) reconstruction technology captures detailed surface geometry and internal structural information for reliable non-destructive quality inspection. Combined with emerging artificial intelligence (AI) technologies, 3D data-driven adaptive management brings potential for next-generation post-harvest quality management. This review analyzed 90 major related studies during 2015–2025, covering high-throughput 3D in-line inspection, high-resolution tomography, portable 3D sensing, and AI-driven 3D reconstruction technologies. Post-harvest supply chain application scenarios are mainly distributed in post-harvest processing (33 studies), manufacturing (29 studies), distribution (15 studies), and consumption (13 studies). Among them, fruit and vegetable products are the most intensively researched, highlighting the suitability and potential benefits of 3D reconstruction for these types of products. Besides, multiple 3D reconstruction technologies have been validated for postharvest evaluation, with X-ray CT dominating postharvest processing, manufacturing, and distribution, and portable RGB imaging devices dominating application in consumption. Besides, relevant 3D reconstruction analysis is evolving from geometry-driven to AI-enhanced analysis and management, highlighting the growing role of 3D reconstruction technology in intelligent, traceable, and sustainable post-harvest supply chain quality management. In the future, by integrating digital twins, IoT, and blockchain technologies, it is expected to build a transparent, tamper-proof quality traceability and control system across the global food supply chain. • 3D reconstruction significantly improves non-destructive food quality inspection. • AI integration expands 3D reconstruction applications in food supply chains. • Applications span post-harvest, processing, logistics, and consumer evaluation. • Enables automation in grading, manufacturing, cold chain, and dietary assessment. • Future trends include sensor fusion, XR, and digital twin for food quality control.","url":"https://doi.org/10.1016/j.postharvbio.2026.114329","authors":["Yuqiao Ren","Lei Tong","Weihao Meng","Da‐Wen Sun","Dimitrios Argyropoulos"],"tags":["Traceability","Supply chain","3D reconstruction","Computer science","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-24","doi":"https://doi.org/10.1016/j.postharvbio.2026.114329","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4390941576","name":"Challenges of Engineering Education in Digital Intelligence Era","source":"openalex","abstract":"The rise of the digital intelligence era signifies a new paradigm of digital technology and intelligent applications, bringing fresh opportunities and challenges to engineering practice. This paper focuses on the analysis of nine key challenges, encompassing the enhancement of complex engineering problem-solving abilities, the shortening of knowledge half-life, coping with the competition from intelligent machines, the role of engineers in industrial digitalization, the dual transformation of digitization and sustainability, effective engineering practice training, attracting outstanding young talent, digital transformation of engineering education, and the refinement of quality assessment standards for engineering education. These challenges reflect the complexity and diversity of engineering education in the digital intelligence era, requiring engineering education institutions to continuously adjust their curricula and teaching methods to cultivate engineers with comprehensive competencies and interdisciplinary skills. At the same time, the digital intelligence era also brings new opportunities for engineering education, including the application of digital technologies, emphasis on interdisciplinary learning, and the importance of sustainability. Effectively addressing these challenges will contribute to improving the quality of engineering education and provide critical support for the sustainable development of society and the environment. The future of engineering education in the digital intelligence era is promising, but it requires us to confront challenges to actively promote progress and innovation in engineering.","url":"https://doi.org/10.18785/jetde.1602.09","authors":["Weifeng Qiao","J. Fu"],"tags":["Digital transformation","Digitization","Engineering education","Curriculum","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.18785/jetde.1602.09","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4385873883","name":"Fuel and Energy Complex of Kazakhstan: Geological and Economic Assessment of Enterprises in the Context of Digital Transformation","source":"openalex","abstract":"The relevance of the study is dictated by the growing role of the fuel and energy complex of developing countries in the decarbonization of the economy. The article discusses the digital transformation of mining enterprises in Kazakhstan, taking into account the transition to CRIRSCO international standards and growing competition in the global mineral market. The purpose of the study is to assess the current level of digitalization of the mining industry in Kazakhstan and to deepen the methodological apparatus of the geological and economic assessment of the enterprise based on the factual base of deposits. The role of the transformation of the mining sector in achieving the sustainability of the poorly diversified economy of Kazakhstan is shown. The importance of digitalization of the industry to complete the transition to CRIRSCO international standards and improve the assessment of the digital provision of enterprises in order to optimize their financial and economic policies is argued. It has been established that, at present, most of the enterprises in the investment-attractive mining sector have a low potential for the transition to a new technological paradigm. A methodological approach to the geological and economic assessment of these enterprises has been developed. To maintain high standards of management transparency through the digitalization of key business processes, along with well-known practices of economic analysis, the IDEF1 methodology was used. In order to expand the software ecosystem, the formats of electronic geological and economic databases are integrated into the digital infrastructure of the enterprise. It is substantiated that the introduction of high technologies in the mining industry requires institutional changes and coordinated interaction between the state, business, and universities as equal partners.","url":"https://doi.org/10.3390/en16166002","authors":["Farida Issatayeva","Г. М. Аубакирова","Aliya Maussymbayeva","Lyussiya Togaibayeva","Valery V. Biryukov","Elena Vechkinzova"],"tags":["Business","Context (archaeology)","Transparency (behavior)","Sustainability","Order (exchange)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-16","doi":"https://doi.org/10.3390/en16166002","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W7131298315","name":"Causal and uncertainty-aware digital-twin framework for ultra–low-noise geoscientific inertial sensors","source":"openalex","abstract":"Abstract. Ultra–low-noise inertial sensors are a cornerstone of modern geoscientific instrumentation, enabling high-resolution observations across seismology, geodesy, gravimetry, and vibration isolation. Achieving and reliably predicting their performance requires a rigorous treatment of physical causality, noise propagation, and uncertainty, particularly in force-feedback architectures operating near fundamental limits. In this study, we introduce a causal and uncertainty-aware digital-twin framework for the design and metrological assessment of ultra–low-noise geoscientific inertial sensors. The proposed framework integrates mechanical dynamics, force-feedback control, transduction, and digital acquisition within a physically realisable model that explicitly enforces causality and stability constraints. Starting from a minimal equation-of-motion description, the digital twin is formulated in the frequency domain to construct causal transfer functions and a comprehensive noise-budget model. The framework enables the systematic separation of fundamental thermal noise limits from implementation-dependent noise sources, including readout, actuation, and digital acquisition effects. We introduce quantitative performance metrics based on self-noise spectra, dominant noise regimes, crossover frequencies, and near-plateau bandwidths, allowing complex spectral behaviour to be condensed into actionable design indicators. Parameter uncertainties are propagated through the digital twin to provide uncertainty-aware performance estimates and robustness diagnostics. Through a series of illustrative analyses, we demonstrate how the proposed digital twin supports informed design trade-offs, identifies performance bottlenecks, and prevents non-physical or overly optimistic sensitivity estimates arising from non-causal modelling assumptions. While focused on inertial sensors, the methodology is general and transferable to other classes of geoscientific instruments. The framework provides a transparent and extensible foundation for next-generation sensor design, virtual experimentation, and metrologically consistent performance prediction.","url":"https://doi.org/10.5194/egusphere-2026-628","authors":["A. D'Alessandro","Antonino D'Alessandro"],"tags":["Robustness (evolution)","Computer science","Noise (video)","Inertial frame of reference","Sensitivity (control systems)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-24","doi":"https://doi.org/10.5194/egusphere-2026-628","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4414101236","name":"Digital Twin Governance: IoT-Driven Real-Time Regulatory Auditing in Smart Hospital Architectures","source":"openalex","abstract":"In this paper, we attribute a new framework of Digital Twin Governance (DTG) where regulatory auditing is conducted in the same manner as in Smart hospital with the help of IoT and edge technologies used to be a reality in real time. Old healthcare audit systems are retrograde and mix up with exhibiting lack of ability to intercept the contravention of policy at an early enough stage thus causing a threat of damage and nonconformance. This gap will be occupied by our contribution that allows marrying digital twin models with explainability engines, powered by AI, rule engines to drive the workflow guiding the compliance with regulatory requirements, and blockchain logging where the most critical services in secure administration are offered. DTG was implemented in a designed mimicked smart hospital structure in which more than 5,000 virtual patients and various IoMT gadgets were utilized along with edge-cloud orchestration. Empirical findings confirmed that there was reduction in breach detection latency as the value arrived at 83 minutes to 0.32 minutes, and time of auditor review also reduced that is 17 minutes to 3.4 minutes per incident. The predictive audit based on an ensemble model distinguished a compliance violation rate at the rate of 95.4% within the abilities of an ensemble model outperforming the rates of a baseline model such as XGBoost or MLP. In the range of scale-out hospital workloads, the system revealed sub-60ms latencies regarding alerts. The above findings demonstrate that DTG is plausible and effective as far as offering proactive, elastic, and transparent audit is concerned. The architecture not only automates compliance activities but it also increases the trust between the stakeholders since the audit trail is blockchain anchored. The paper ends by providing architectural details, measures of scalability, and implications of governance should be adopted in implementing the digital twin-led auditing system in the healthcare sector in a real-life scenario.","url":"https://doi.org/10.52710/cfs.752","authors":["Naga Srinivasulu Gaddapuri"],"tags":["Audit","Workflow","Corporate governance","Computer security","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-08","doi":"https://doi.org/10.52710/cfs.752","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4403157489","name":"Strategic digital product management: Nine approaches","source":"openalex","abstract":"The role of product management (PM) is key for building, implementing and managing software-intensive systems. Whereas engineering is concerned with how to build systems, PM is concerned with ’what’ to build and ’why’ we should build the product. The role of PM is recognized as critical for the success of any product. However, few studies explore how the role of PM is changing due to recent trends that come with digitalization and digital transformation. Although there is prominent research on PM, few studies explore how this role is changing due to the digital transformation of the software-intensive industry. In this paper, we study how trends such as DevOps and short feedback loops, data and artificial intelligence (AI), as well as the emergence of digital ecosystems, are changing current product management practices. This study employs a qualitative approach using multi-case study research as the method. For our research, we selected five case companies in the software-intensive systems domain. Through workshop sessions, frequent meetings and interviews, we explore how DevOps and short feedback loops, data and artificial intelligence (AI), and digital ecosystems challenge current PM practices. Our study yielded an in-depth understanding of how digital transformation of the software-intensive systems industry is changing current PM practices. We present empirical results from workshops and from interviews in which case company representatives share their insights on how software, data and AI impact current PM practices. Based on these results, we present a framework organized along two dimensions, i.e. a certainty dimension and an approach dimension. The framework helps structure the approaches product managers can employ to select and prioritize development of new functionality. The contribution of this paper is a framework for ’Strategic Digital Product Management’ (SDPM). The framework outlines nine approaches that product managers can employ to maximize the return on investment (RoI) of R&D using new digital technologies.","url":"https://doi.org/10.1016/j.infsof.2024.107594","authors":["Helena Holmström Olsson","Jan Bosch"],"tags":["Product (mathematics)","Process management","Computer science","Business","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-05","doi":"https://doi.org/10.1016/j.infsof.2024.107594","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4412365247","name":"OPTIMIZING MAINTENANCE STRATEGIES IN SMART MANUFACTURING: A SYSTEMATIC REVIEW OF LEAN PRACTICES, TOTAL PRODUCTIVE MAINTENANCE (TPM), AND DIGITAL RELIABILITY","source":"openalex","abstract":"This systematic review investigates the integration of Lean practices, Total Productive Maintenance (TPM), and digital reliability strategies to optimize maintenance operations in the context of smart manufacturing ecosystems. Drawing upon a comprehensive analysis of 96 peer-reviewed studies published between 2015 and 2024, the review rigorously follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure transparency, methodological rigor, and replicability. The review critically examines how traditional maintenance frameworks—namely Lean Maintenance, which focuses on waste elimination, continuous improvement, and process standardization, and TPM, which emphasizes proactive and preventive maintenance through deep operator involvement—interact with advanced digital reliability approaches. These digital techniques include predictive analytics, IoT-enabled condition monitoring, artificial intelligence-driven diagnostics, and digital twin technologies, which collectively enable real-time fault detection, predictive failure forecasting, and data-informed decision-making. The synthesis reveals that hybrid maintenance models combining Lean, TPM, and digital reliability tools consistently deliver superior outcomes, such as substantial reductions in unplanned downtime, enhanced asset utilization rates, increased Overall Equipment Effectiveness (OEE), and greater agility in production planning and scheduling. The review also highlights critical barriers to implementation, including workforce resistance to technological change, challenges related to data integration and interoperability, high initial investment costs, and organizational misalignment between maintenance goals and digital transformation strategies. Despite these challenges, the review underscores that with adequate technological readiness, organizational preparedness, and change management, integrated maintenance frameworks can drive significant operational efficiencies, reduce lifecycle costs, and foster sustainable competitive advantages in Industry 4.0 settings.","url":"https://doi.org/10.63125/np7nnf78","authors":["Md. Rezaul Karim"],"tags":["Total productive maintenance","Reliability (semiconductor)","Lean manufacturing","Reliability engineering","Predictive maintenance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-01","doi":"https://doi.org/10.63125/np7nnf78","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W4410097983","name":"Digital technologies for precise carbon balancing in timber procurement","source":"openalex","abstract":"Abstract Detailed tracking of all relevant– natural and man-made– activities in the forest enables real-time monitoring of carbon dynamics, providing immediate feedback on the carbon impact of specific forestry operations. Carbon is sequestered and emitted at many points along the wood supply chain as well as its upstream and downstream processes. The spatial, technical, and organizational aspects of the associated process steps are very heterogeneous, making them complex to capture in the real world and in the information world. This article initially provides an overview of digital technologies for precise carbon balancing in timber procurement. We then show how to use these technologies to capture and consolidate data at the stem section level to enhance the precision of carbon accounting. This granular approach allows for detailed accounting of carbon sequestration and emissions, which is crucial for developing effective carbon management strategies. We propose technical building blocks and an architecture to consider this in an integrated approach. The architecture is based on Digital Twins to individually acquire data with Internet of Things technologies for networking. Data sovereignty among the participating stakeholders is ensured through a dataspace approach yielding a “Dataspace Forestry 4.0”. Integrated human-machine interfaces give stakeholders access to relevant data, and simulation technologies allow them to explore process variants to support decision-making.","url":"https://doi.org/10.1007/s10342-025-01794-1","authors":["Martin Hoppen","Simon Baier","Lennart Schinke","Martin Ziesak","Lukas Schreiber","Arthur Wahl","Jiahang Chen","Anil Riza Bektas","Frank Heinze","Michael Schluse","Jürgen Roßmann"],"tags":["Plant ecology","Procurement","Carbon fibers","Agroforestry","Ecology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-05","doi":"https://doi.org/10.1007/s10342-025-01794-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"oa:W3213859307","name":"A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges","source":"openalex","abstract":"Metaverse is a new type of Internet application and social form that integrates a variety of new technologies. It has the characteristics of multi-technology, sociality, and hyper spatiotemporality. This paper introduces the development status of Metaverse, from the five perspectives of network infrastructure, management technology, basic common technology, virtual reality object connection, and virtual reality convergence, it introduces the technical framework of Metaverse. This paper also introduces the nature of Metaverse's social and hyper spatiotemporality, and discusses the first application areas of Metaverse and some of the problems and challenges it may face.","url":"https://doi.org/10.48550/arxiv.2111.09673","authors":["Huansheng Ning","Hang Wang","Yujia Lin","Wenxi Wang","Sahraoui Dhelim","Fadi Farha","Jianguo Ding","Mahmoud Daneshmand"],"tags":["Metaverse","Variety (cybernetics)","Computer science","Social worlds","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-18","doi":"https://doi.org/10.48550/arxiv.2111.09673","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1109/metacom65502.2025.00024","name":"Design of a Smooth Dynamic Digital Twin for Industrial Object Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metacom65502.2025.00024","authors":["Jeongran Lee","Vishnu Dutt Sharma","Lou Salaun","Matthew Andrews"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-10T17:35:21Z","doi":"10.1109/metacom65502.2025.00024","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/sose66311.2025.11083850","name":"Digital Twin and IoT-Cloud System: Case Study on Durrës Port","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sose66311.2025.11083850","authors":["Alba Merdani","Klajdi Bërdufi","Eduart Torba","Enida Sheme","Dorian Minarolli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-13T17:25:58Z","doi":"10.1109/sose66311.2025.11083850","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/ei268505.2025.11425589","name":"Digital twin of transformer electromagnetic - mechanical coupling: five-dimensional model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ei268505.2025.11425589","authors":["Chao Pan","Jingge An","Chuang Liu","Zhenglong Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T19:51:28Z","doi":"10.1109/ei268505.2025.11425589","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/edtm61175.2025.11040253","name":"A Digital Twin for Advanced Manufacturing of Materials","source":"crossref","abstract":"","url":"https://doi.org/10.1109/edtm61175.2025.11040253","authors":["Dipayan Sanpui","Anirban Chandra","Sukriti Manna","Henry Chan","Subramanian K.R.S. Sankaranarayanan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-30T17:36:02Z","doi":"10.1109/edtm61175.2025.11040253","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.47330/cbc.2021.ovmc1650","name":"A Blockchain Roadmap","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2021.ovmc1650","authors":["Martin Docherty"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.ovmc1650","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3403/30374335","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30374335","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-09T21:47:31Z","doi":"10.3403/30374335","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.24072/pci.archaeo.100624","name":"Recommendation of: Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation. Round#2","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.archaeo.100624","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T11:44:58Z","doi":"10.24072/pci.archaeo.100624","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.24072/pci.archaeo.100624.rev11","name":"Review of: Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation. Round#1/Reviewer#1","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.archaeo.100624.rev11","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T11:45:00Z","doi":"10.24072/pci.archaeo.100624.rev11","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.34218/fcsit_06_06_002","name":"DIGITAL TWIN INTEGRATION WITH SAP QM FOR PREDICTIVE DEFECT ANALYSIS","source":"openalex","abstract":"This dissertation examines how Digital Twin technology joins with SAP QualityManagement (QM) systems.It aims to improve how factories predict defects in manufacturing processes.The work focuses on how current methods fail to use realtime data for good defect detection.The study shows how to build a strong predictive framework for these processes.It combines factory data, defect logs, and performance numbers from SAP QM with simulation data from Digital Twins.The results show that defect rates dropped by up to 30 percent.Teams responded much faster to potential quality problems.These results prove that combining these systems works well.The meaning of these results goes beyond just manufacturing.They suggest big changes for the healthcare industry.Hospitals need quality management to keep patients safe and keep operations running well.Healthcare groups find and lower risks in medical devices and medical steps.They use advanced predictions made possible by Digital Twin technology to do this.This work changes how people handle quality management practices.It shows that digital tools help healthcare run better and improve patient health.This study shows why healthcare must use new data methods for quality checks.These tools help make healthcare more reliable and safe for everyone who needs care.","url":"https://doi.org/10.34218/fcsit_06_06_002","authors":["Nirmala Parixit Patel","Elayaraja Subbaiah"],"tags":["Computer science","Algorithm","Stability (learning theory)","Identification (biology)","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"10.34218/fcsit_06_06_002","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1201/9781003281184-16","name":"Failure Analysis of Critical Wind Turbine Components","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-16","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-16","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.24089/j.sisfo.2025.07.004","name":"Mapping a Decade of Digital Twin Research: Trends, Thematic Evolution, and China’s Strategic Lead","source":"crossref","abstract":"","url":"https://doi.org/10.24089/j.sisfo.2025.07.004","authors":["Radityo Prasetianto Wibowo","Prasasti Karunia Farista Ananto","Eugenia Indrawan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T14:47:20Z","doi":"10.24089/j.sisfo.2025.07.004","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/icca66035.2025.11431055","name":"An AI-Based 3D Dental Modeling Framework for Digital Twin Dentistry","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icca66035.2025.11431055","authors":["Maram H. Ismail","Mazen Ebrahim","Mohammed Gamal Saad","Tamer M. Nassef"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-17T20:18:48Z","doi":"10.1109/icca66035.2025.11431055","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/icat2i69744.2025.11472684","name":"Real-Time Degradation Monitoring and Prognosis of Ball Mill Liners Using a Physics-Informed Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icat2i69744.2025.11472684","authors":["Omar Mimouh","Brahim Herrou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:23:20Z","doi":"10.1109/icat2i69744.2025.11472684","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-981-99-0252-1_6","name":"Digital Twin Applications for Smart and Connected Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_6","authors":["Durdu Hakan Utku","Ferhat Ozgur Catak","Murat Kuzlu","Salih Sarp","Vukica Jovanovic","Umit Cali","Nasibeh Zohrabi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1_6","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1115/imece2025-162532","name":"The Business Digital Twin: Unlocking Industrial Engineering and Reengineering Capabilities of the Manufacturing Workforce","source":"crossref","abstract":"Abstract Achieving industrial sustainability is a key objective of any nation. Currently, there is a strong focus on revitalizing the manufacturing industry by creating smart factories. Smart factories represent—the backbone of the industrial economy—along with its workforce. To meet this challenge, it is essential to integrate theoretical knowledge with practical industrial application that will equip professionals with capabilities to revitalize the economy by creating new enterprises or managing and developing exciting once. This paper presents the capabilities of Business Digital Twin (BDT) software, developed in an industrial setting, as both a knowledge provider and tool that unlock the capabilities of the workforce to efficiently manage, develop, and establish industrial enterprises across three dimensions – strategic, tactical, and operational. The research methodology involves applying the BDT software for planning and developing a new product while designing the entire factory environment. This includes the enterprise systems for supplies, production, sales, financing, and the crucial technological environment of the enterprise. The goal of this research is to demonstrate how a Business Digital Twin software, built upon the principles of Business Model Ontology, serves as an intuitive tool that enhances workforce capabilities to create new manufacturing enterprises or revitalize existing ones effectively.","url":"https://doi.org/10.1115/imece2025-162532","authors":["Stefan Stefanov","Trifon Stefanov","Dana Bachvarova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T16:47:39Z","doi":"10.1115/imece2025-162532","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/compsac65507.2025.00182","name":"SmartTinkerer: Bridging Smart Home Testing Gaps with LLM, Digital Twin &amp; Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/compsac65507.2025.00182","authors":["Samad Alias Nyein Chan","Manar H. Alalfi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-26T19:04:13Z","doi":"10.1109/compsac65507.2025.00182","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/ecai65401.2025.11095550","name":"Real-Time Pick-and-Place Digital Twin in Unity for Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecai65401.2025.11095550","authors":["Marius Constantin Marica","Nicu Bizon","Ionel Bostan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-04T18:34:06Z","doi":"10.1109/ecai65401.2025.11095550","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00028-5","name":"Secure wireless sensor networks for safe cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00028-5","authors":["K.L. Mayur","M. Selvi","S.V.N. Santhosh Kumar","K. Thangaramya","A. Kannan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T22:07:06Z","doi":"10.1016/b978-0-443-30076-9.00028-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2196/preprints.81510","name":"Development of a Hospital at Home Digital Twin – A Scoping Review (Preprint)","source":"crossref","abstract":"BACKGROUND The increasing demand on healthcare systems requires innovative and transformative solutions to deliver efficient and high-quality care. One promising approach is Digital Twin (DT) technology, which leverages real time data to create dynamic virtual representations of a physical space, entity or individuals to anticipate future scenarios and support care decisions. While DTs have been explored in various sectors, their application in Hospital at Home (HaH) settings remains unexplored. HaH allows patients to receive acute-level care at home and given the acuity and complexity of care delivered in this setting, this scoping review bridges a critical knowledge gap by identifying the key DT-enabling architecture to inform a hospital-at-home DT and relevant applications and data types. OBJECTIVE This review aimed to examine the existing evidence on DT-enabling tools for managing patients with frailty in home settings and identify the underpinning architectural components required to support a hospital-at-home DT system. METHODS A systematic search was conducted across six electronic databases, and relevant websites for grey literature, for primary studies published in English between 2019 and September 2024. RESULTS Sixty-two studies were analysed for their DT-enabling tools and systematically mapped across the proposed five-layered DT architecture: sensing, communication, storage, analytics, and visualisation. Taxonomies of DT layers, their interconnections, and the classifications of the types of data collected (e.g., about the patient, the home environment, the use of medical equipment) are presented. The available evidence presents a range of sensing technologies, both for gathering patient data and the environment, however greater understanding of data management (communication and storage) methods is needed, particularly in the context of local healthcare systems. Moreover, the findings highlight emerging potential of predictive and prescriptive analytics to be used to enable clinicians to predict risk, support clinical decision-making, or activate alert-triggered health interventions. Albeit, evidence in this field suggests that analytics methods are largely descriptive and there is a shortage of advanced methods such as prescriptive analytics to enable recommendations of an optimal course of action, and a lack of diagnostic analytics which can highlight why a situation has occurred. Reported DT-enabling tools have demonstrated a wealth of opportunities including patient-centered benefits such as enhanced patient motivation, patient/ carer reassurance and personalised care. However, concerns were also reported on device accuracy, usability, acceptability and the broader implications on carers and organisational systems. CONCLUSIONS This review offers the first comprehensive synthesis of DT-enabling tools relevant to inform a potential HaH-DT. By outlining the key conceptual architecture, these insights lay the foundations that will enable stakeholders to effectively leverage technology-enabled care in complex home-based settings to deliver safer, more efficient, personalised and timely care. CLINICALTRIAL Trial Registration: BMJ Open; https://bmjopen.bmj.com/content/15/6/e093418 [1] INTERNATIONAL REGISTERED REPORT RR2-doi: 10.1136/bmjopen-2024-093418","url":"https://doi.org/10.2196/preprints.81510","authors":["Faiza Yahya","Matthew Cooper","Wahib Saif","Mohamad Kassem","Hamde Nazar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-30T10:30:08Z","doi":"10.2196/preprints.81510","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21956/digitaltwin.19406.r28908","name":"Peer Review Report For: Towards a shape-performance integrated digital twin for lumbar spine analysis [version 2; peer review: 2 approved, 1 not approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19406.r28908","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19406.r28908","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.36227/techrxiv.174537545.54263454/v1","name":"ReqTLo: Requirements Temporal Logic Ontology for Simulation-based Validation of Systems in Digital Twin Enabled Collaborative Design","source":"crossref","abstract":"Current engineering systems increasingly rely on collaborative, simulation-driven design, where system designers and original equipment manufacturers (OEMs) must exchange information effectively. System designers define overall system requirements while OEMs provide components with specific capabilities and operational constraints. This collaborative process requires clear communication of both system-level requirements and component-level specifications for optimal compatibility. The emergence of digital twins and the adoption of standards such as the System Structure and Parameterization (SSP) for system architectures and the Functional Mock-up Interface (FMI) for component models have streamlined model sharing and cosimulation. However, these standards focus on sharing simulation models but do not offer a structured method for sharing system and component requirements, limiting their usability. This paper introduces the Requirements Temporal Logic ontology (ReqTLo) that incorporates Metric Temporal Logic (MTL) to formalize dynamic requirements for collaborative design. The ReqTLo ontology consists of three modules: a requirements module that captures system specifications, an MTL formula module that represents temporal logic expressions, and an SSP/FMU module that links requirements with simulation components. The ReqTLo ontology is validated with competency questions via SPARQL queries, and SHACL validation rules are added for the consistent application of MTL expressions. A case study of an induction motor system demonstrates the applicability of the ontology in the collaborative design process in realworld scenarios typical in engineering systems. The results show how ReqTLo standardized the representation of temporal requirements specifications as machine-readable files that can be shared alongside simulation models, extending existing standards to accommodate time-dependent behaviors.","url":"https://doi.org/10.36227/techrxiv.174537545.54263454/v1","authors":["Haitham Al-Shami","Riku Ala-Laurinaho","Raine Viitala","Miro Eklund"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-22T22:30:58Z","doi":"10.36227/techrxiv.174537545.54263454/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21203/rs.3.rs-9717799/v1","name":"Operationalizing the Twin Transition: A Cross-Sector DigiCircular Digital Twin Framework for Sustainable Production and Consumption","source":"europepmc","abstract":"Abstract The twin transition, combining digitalization with circular economy strategies, has emerged as a critical pathway for achieving sustainable production and consumption. However, existing approaches largely treat digital tools and circular practices as isolated interventions, limiting their systemic impact across interconnected value chains. This study proposes a DigiCircular Twin-Transition (DT²) framework, a cross-sector digital twin architecture that integrates real-time life cycle assessment with circular economy governance to enable data-driven sustainability control. The framework federates digital twins from the coffee, textile, logistics, and traceability domains into an integrated decision layer, allowing sustainability indicators to function as operational control variables rather than retrospective reporting metrics. A unified Sustainability Efficiency Index and cross-sector resource-synergy modeling enable multi-objective optimization of energy use, water consumption, emissions, and material circularity. Controlled DT² evaluation experiments indicate substantial improvements compared to baseline operations, including a 30% reduction in aggregate environmental impacts, a 25% increase in resource efficiency, a 20% extension in product life cycles, and a 38% improvement in return on investment over a 10-year horizon. Interoperability and decision reliability are ensured through a federated data schema aligned with ISO 23247 and IEC 62890, while Monte Carlo robustness testing (N = 10,000) and Pareto-front analysis indicate stable and simultaneous optimization of environmental and economic objectives. By embedding verifiable performance synchronization through blockchain-backed governance, the DT² framework extends sustainability management toward predictive and auditable operational monitoring, providing a scalable conceptual and technical framework aligned with SDGs 9, 12, 13, and 17 and global net-zero transition pathways.","url":"https://doi.org/10.21203/rs.3.rs-9717799/v1","authors":["Mizna Rehman","Antonella Petrillo","Fabio De Felice"],"tags":["Sustainability","Environmental economics","Interoperability","Risk analysis (engineering)","Resource efficiency"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9717799/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1145/3726301.3732909","name":"Reproducibility Report for the Paper: “A Digital Twin of Scalable Quantum Clouds”","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3726301.3732909","authors":["Martina Baiardi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-21T11:16:41Z","doi":"10.1145/3726301.3732909","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.7717/peerj-cs.3929/table-4","name":"Table 4: Summary of works related to predictive maintenance by using digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-4","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.70675/51b1cd4dz4fafz4c19z889czbba0fb6085cd","name":"Modeling and deployment of advanced digital twin systems","source":"crossref","abstract":"Modélisation et déploiement de systèmes avancés de jumeaux numériques Les jumeaux numériques se sont imposés comme un paradigme prometteur, permettant la surveillance, l'analyse et la prise de décision dans un large éventail de domaines d'application. Cependant, de nombreuses solutions existantes de jumeaux numériques restent spécifiques à un domaine, centrées sur le cloud et principalement axées sur une surveillance descriptive, avec un support limité pour l'aide avancée à la décision, le passage à l'échelle et le déploiement distribué. Cette thèse répond à ces défis en étudiant comment les jumeaux numériques peuvent être conçus comme des systèmes évolutifs, intelligents et durables pour des applications réelles à grande échelle. La thèse propose d'abord une architecture logicielle modulaire et générique de jumeau numérique, qui prend en charge les fonctions essentielles tout en intégrant également des fonctions de support. L'architecture proposée est conçue pour être adaptable à différents domaines et extensible en vue de l'évolution à long terme du système. Afin de dépasser les jumeaux numériques orientés uniquement vers la surveillance, la thèse étudie l'intégration de fonctionnalités avancées dans cette architecture, notamment des capacités prédictives, prospectives et prescriptives. En outre, la thèse aborde le défi de la modélisation comportementale dans les jumeaux numériques. À cette fin, une méthodologie systématique de modélisation comportementale fondée sur l'ingénierie système basée sur les modèles (Model-Based Systems Engineering, MBSE) est introduite afin de soutenir la création de modèles comportementaux. En s'appuyant sur SysML, cette méthodologie fournit un processus structuré permettant de transformer les spécifications système en modèles comportementaux exécutables et vérifiables, favorisant ainsi une représentation plus cohérente de la dynamique et des interactions du système. La thèse examine également les défis de passage à l'échelle des jumeaux numériques prédictifs appliqués aux réseaux de capteurs à grande échelle. Une méthodologie de sélection de capteurs fondée sur les corrélations est proposée afin de réduire le nombre de capteurs d'entrée nécessaires à la modélisation prédictive tout en préservant un comportement système informatif. Parallèlement, la thèse explore l'apprentissage fédéré comme paradigme d'entraînement distribué pour les jumeaux numériques prédictifs, avec une attention particulière portée à la localité des données, à l'efficacité des communications et à l'intelligence distribuée. Enfin, la thèse étudie le rôle de la stratégie de déploiement dans la performance et la durabilité des systèmes de jumeaux numériques à travers un continuum edge-core-cloud. Elle examine comment différentes configurations de déploiement influencent des enjeux opérationnels majeurs tels que la latence, l'utilisation des ressources, la consommation d'énergie et l'impact environnemental. Dans l'ensemble, cette thèse contribue au développement des jumeaux numériques en tant que systèmes distribués, évolutifs, intelligents et durables, en abordant de manière intégrée leur architecture, leurs fonctionnalités avancées, leur modélisation comportementale, leurs stratégies d'apprentissage et leurs considérations de déploiement. Les contributions proposées apportent à la fois des fondements conceptuels et des orientations pratiques pour la conception et la réalisation des systèmes de jumeaux numériques de nouvelle génération.","url":"https://doi.org/10.70675/51b1cd4dz4fafz4c19z889czbba0fb6085cd","authors":["Hemawanshage Chethinga Manoj Herath"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T12:51:13Z","doi":"10.70675/51b1cd4dz4fafz4c19z889czbba0fb6085cd","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/wcnc61545.2025.10978524","name":"Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc61545.2025.10978524","authors":["Yagmur Yigit","Kerem Gursu","Ahmed Al Dubai","Leandros Maglaras","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T17:53:33Z","doi":"10.1109/wcnc61545.2025.10978524","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/cost68045.2025.00040","name":"Design of Children's Building Block Products with Local Characteristics Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cost68045.2025.00040","authors":["Juntong Hou","Nuo Pang","Linlin Ge"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-02T18:46:20Z","doi":"10.1109/cost68045.2025.00040","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1002/cepa.3211","name":"A Digital Twin‐based Intelligent Concrete Placing Technology","source":"crossref","abstract":"ABSTRACT An intelligent concrete placing control model was created by the authors to achieve this goal. Using the placing and control content as the physical object (PO), a BIM virtual model as the twin carrier (VE), two‐way twin data as the core (DD), coordinated control as the target (WM), and coordinated operational rules (RULE) as the driver. Additionally, they created a “IoT monitoring, BIM digitalization, dynamic analysis, and central control” integrated smart concrete transportation control platform for the construction of an ultra‐high arch dam, as well as a smart monitoring device covering the entire transportation, spreading, and vibration of the entire concrete. As a result, the entire placement procedure can be intelligently managed. These achievements have been used to create excellent, safe, and effective concrete works for the Wudongde and Baihetan dams.","url":"https://doi.org/10.1002/cepa.3211","authors":["Yongliang Zhu","Guo Zhong","Jianjiang Xu","Cui Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-18T14:18:41Z","doi":"10.1002/cepa.3211","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1016/j.mineng.2024.109076","name":"Digital twin with automatic disturbance detection for an expert-controlled SAG mill","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mineng.2024.109076","authors":["Paulina Quintanilla","Francisco Fernández","Cristóbal Mancilla","Matías Rojas","Daniel Navia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-09T02:03:35Z","doi":"10.1016/j.mineng.2024.109076","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/iwcmc65282.2025.11059545","name":"TopoDT: Digital Twin-Assisted UAV Topology Optimization for Targets Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iwcmc65282.2025.11059545","authors":["Longyu Zhou","Supeng Leng","Zonghang Li","Tony Q.S. Quek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-02T17:42:13Z","doi":"10.1109/iwcmc65282.2025.11059545","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/bmsb62888.2024.10608284","name":"Federated Digital Twin Implementation Methodology to Build a Large-Scale Digital Twin System","source":"openalex","abstract":"This paper considers an implementation methodology for large-scale digital twin system. In our research, federated digital twin implementation methodology is proposed to build the large-scale digital twin system. In the proposed methodology, multiple single digital twin system can be connected and the output data of the multiple digital twin systems is federated. Typically, a single digital twin system is developed to digitally mimic a single physical object, system, or single process. Therefore, in the proposed methodology, the large-scale digital twin can be implemented based on federation of multiple single digital twin systems. To federate the multiple single digital twin systems, single digital twin management, validation and federation techniques are required. Therefore, proposed methodology suggests the architecture and functions of the digital twin federation system.","url":"https://doi.org/10.1109/bmsb62888.2024.10608284","authors":["Myung-Sun Baek","Euisuk Jung","Young Soo Park","Yong-Tae Lee","Eui‐Suk Jung"],"tags":["Computer science","Scale (ratio)","Computer architecture","Geography","Cartography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-19","doi":"10.1109/bmsb62888.2024.10608284","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.5553823","name":"Sustainable Development of a BIM-Enabled Digital Twin Framework for Indoor Environment Quality: A Multicriteria Decision-Making Approach in the Built Environment","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5553823","authors":["Natakarani Venkateswarlu","Mahenthiran Sathiyamoorthy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-01T17:36:47Z","doi":"10.2139/ssrn.5553823","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519281","name":"REVISED A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation\n         \t\t\t[version 2; peer review: 4 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519281","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:36Z","doi":"10.1080/27525783.2023.12519281","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003507390-6","name":"Transformative Potential","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-6","authors":["Garima Jain","Ankush Jain","Anuj Jaiswal","Shakeel Ahmad","Vinod M. Kapse","Sovers Singh Bisht"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T13:47:44Z","doi":"10.1201/9781003507390-6","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1145/3672608.3707826","name":"Fusing Expert Knowledge and Internet of Things Data for Digital Twin Models: Addressing Uncertainty in Expert Statements","source":"openalex","abstract":"Extracting Digital Twin models by fusing expert knowledge with Internet of Things data remains a challenging and open research area. Existing literature offers very limited approaches for seamless and systematic extraction of Digital Twin models from these combined sources. In this paper, we address the research gap by proposing a novel approach that considers and integrates the uncertainty inherent in human expert knowledge into the extraction processes of Digital Twin models. Given that experts possess unique experiences, contextual understandings and judgements, their knowledge can be highly divergent, complex, ambiguous, and even incorrect or incomplete. Consequently, not all expert knowledge statements should be equally weighted in the resulting simulation models. Our contributions include a comprehensive literature review on the uncertainty in expert knowledge and the proposal of an approach to integrate this uncertainty in the extraction of Digital Twin models from fused expert knowledge and IoT data. We demonstrate our approach through a case study in reliability assessment.1","url":"https://doi.org/10.1145/3672608.3707826","authors":["Michelle Jungmann","Sanja Lazarova-Molnar","Sanja Lazarova‐Molnar"],"tags":["Computer science","The Internet","Expert system","Data science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-31","doi":"10.1145/3672608.3707826","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1007/978-3-032-07694-6_2","name":"Microvascular Retinal Digital Twins from Non-invasive Clinical Images","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-07694-6_2","authors":["Rémi J. Hernandez","Wahbi K. El-Bouri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T18:04:50Z","doi":"10.1007/978-3-032-07694-6_2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003532286-4","name":"Leveraging Blockchain Interoperability for Sustainable Healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-4","authors":["Neetu Sharma","Ashutosh Mishra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519329","name":"REVISED Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels\n         \t\t\t[version 2; peer review: 2 approved, 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519329","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T11:07:40Z","doi":"10.1080/27525783.2023.12519329","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.52202/083091-0091","name":"Digital Twin Technology for Small Satellite Development and Operations: A Case Study of HEAD-2D","source":"crossref","abstract":"","url":"https://doi.org/10.52202/083091-0091","authors":["Peipei Xu","Sheng Wu","Lianxiang Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-16T14:22:04Z","doi":"10.52202/083091-0091","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-031-25692-9_3","name":"The Mechanical Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_3","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-12-820717-8.00007-5","name":"Digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-820717-8.00007-5","authors":["Ivana Cavar Semanjski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-17T12:53:14Z","doi":"10.1016/b978-0-12-820717-8.00007-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.70675/4f2b1d56zf662z4b41za04bz698dbd255c8f","name":"System Engineering Approach to the Development of Urban Digital Twin","source":"crossref","abstract":"Approche d’Ingénierie Système pour le Développement du Jumeau Numérique Urbain Cette thèse de doctorat constitue une petite partie d'un projet universitaire à grande échelle appelé « Augmented Campus for World Class Transition » (ACT). Ce projet vise à transformer l'Université de Bordeaux (UB) en un laboratoire vivant et un incubateur pour des projets expérimentaux afin de réaliser les transitions socio-environnementales en mobilisant la communauté, l'expertise pluridisciplinaire et les intervenants extérieurs. L'un des objectifs principaux de l'ACT est de « développer l'offre de recherche pour une prise de décision fondée sur les preuves ». À cette fin, il est nécessaire de disposer d'un outil scientifique (numérique) dans le cadre des écosystèmes urbains de l'UB, et c'est de cela que l’idée de cette thèse a émergée.Le concept de numérisation se répand dans tous les secteurs, y compris les villes « intelligentes » et les écosystèmes urbains, menant à l'émergence d’une « société intelligente ». Les systèmes numériques intègrent des données et des technologies (virtuelles), et ces systèmes se développent largement. Dans ce contexte, le Jumeau Numérique (JN) est apparu comme une approche innovante pour gérer la complexité croissante de ces systèmes en combinant l'ingénierie basée sur les données et sur les modèles. On trouve des applications pour le JN dans divers domaines, y compris les villes intelligentes, jouant un rôle crucial dans la transformation numérique des villes. En conséquence, le concept de Jumeaux Numériques Urbains (JNU) est apparu en 2017/2018 et offre l'intégration des environnements urbains physiques et virtuels.Malgré la croissance progressive des JNU depuis 2018, seules quelques villes les ont développés. Ce manque de développement des JNU est dû à (i) la complexité inhérente à l'écosystème urbain et (ii) la diversité des points de vue sur les JNU selon différentes perspectives de recherche.Cette thèse répond aux questions de recherche suivantes : (1) Comment construire efficacement des JNU holistiques intégrant des phénomènes urbains sous plusieurs perspectives à différentes échelles ? (2) Quel est le rôle et l’importance des technologies de l’information spatiale et de la modélisation urbaine 3D dans les JNU ? (3) Comment différents acteurs peuvent-ils être intégrés dans les JNU ? (4) Quelle est l'approche de l'ingénierie des systèmes qui fournit une compréhension holistique pour construire un JNU ? L'objectif général de cette thèse est de développer le JNU pour UB et qu’il puisse être capable de traiter les phénomènes urbains liés à la mobilité et à l'énergie.Les principales contributions de ce travail sont les suivantes :• Un cadre conceptuel pour les JNU : Un cadre conceptuel est proposé pour les JNU, basé sur les principes architecturaux de l'ingénierie logicielle. Il s'agit d'un cadre générique qui fournit une base réutilisable et structurée pouvant être utilisée pour la modélisation et la mise en œuvre des JNU. Il intègre plusieurs phénomènes urbains à différents niveaux et prend également en compte les intervenants à différents niveaux, ce qui fait défaut dans la littérature.• Une spécification multi-formaliste du JNU de l'UB : Il est réalisé en modélisant le JNU de l'UB en utilisant UML, SysML et HiLLS (High Level Language for System Specification), c'est-à-dire la représentation graphique de DEVS (Discrete EVent System specification). L'intégration de multi-formalismes a assuré la cohérence entre les niveaux conceptuel, architectural et opérationnel de l'implémentation, en reliant la conception descriptive du JNU de l'UB au comportement formel exécutable.• Mise en œuvre du JNU UB dans un environnement réel : Il est réalisé en utilisant l'environnement logiciel de multi-modélisation (plus précisément AnyLogic), où nous avons mis en œuvre la dimension de la mobilité et de l'énergie dans les établissements universitaires. Sa mise en œuvre et ses résultats démontrent l'applicabilité pratique et la va","url":"https://doi.org/10.70675/4f2b1d56zf662z4b41za04bz698dbd255c8f","authors":["Zeeshan Ali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T12:55:14Z","doi":"10.70675/4f2b1d56zf662z4b41za04bz698dbd255c8f","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.20944/preprints202507.1473.v1","name":"Study of the Possibility of a Conceptual Framework for Digital Twin and Cyber-Physical Systems to Enhance Sustainable Agricultural Management","source":"preprints","abstract":"Modern agriculture, in its quest for sustainability, resource optimization, and high-quality production under variable climate conditions, requires innovative and scalable solutions. This conceptual work proposes a framework for applying Digital Twin and Cyber-Physical Systems (CPS) to support integrated management across diverse agricultural systems. By combining real-time sensor measurements with manually introduced data, the approach can simulate field conditions, predict optimal interventions, and enhance decision-making. Particular emphasis is placed on supporting traceability, reducing chemical inputs, and enabling more efficient irrigation and fertilization strategies. What sets this framework apart is its adaptability, making it applicable to various crops and farming contexts, and offering a foundation for future applied research and the implementation of smart digital farming practices.","url":"https://doi.org/10.20944/preprints202507.1473.v1","authors":["Theoharis Babanatsas","Roxana Mihaela Babanatis-Merce"],"tags":["Cyber-physical system","Agriculture","Conceptual framework","Business","Sustainable agriculture"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.1473.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1109/ecce58356.2025.11259935","name":"Digital Twin Models of Multi-Three-Phase Permanent Magnet Synchronous Motors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecce58356.2025.11259935","authors":["Nicola Macrì","Sandro Rubino","Simone Ferrari","Gianmario Pellegrino","Radu Bojoi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-03T18:38:34Z","doi":"10.1109/ecce58356.2025.11259935","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/eeice65049.2025.11034095","name":"Research on Partial Discharge Characteristics of Switchgear Assisted by Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eeice65049.2025.11034095","authors":["Na Long","Rundong Gan","Xianfeng Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T17:35:13Z","doi":"10.1109/eeice65049.2025.11034095","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/icccn65249.2025.11133819","name":"Preliminary Study on Adaptive Task and Resource Allocation for Digital Twin-Enabled Urban Services","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccn65249.2025.11133819","authors":["Takafumi Fu","Takumi Miyoshi","Taku Yamazaki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-29T17:39:20Z","doi":"10.1109/icccn65249.2025.11133819","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.23919/eucap63536.2025.10999394","name":"Digital Twin-Based EMF Compliance Assessment of Base Station Sites","source":"crossref","abstract":"","url":"https://doi.org/10.23919/eucap63536.2025.10999394","authors":["Davide Colombi","Jens Eilers Bischoff","Marije Ljolje","Nivaldo Curcio","Christer Törnevik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-21T17:36:31Z","doi":"10.23919/eucap63536.2025.10999394","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5149718","name":"Study of the Main Aose Methodologies on the Digital Twin Agent Scenario","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5149718","authors":["Ivan Luis-Vazquez","Lorena Otero-Cerdeira","Francisco Javier Rodríguez-Martínez","Juan Carlos González-Moreno"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-23T00:38:11Z","doi":"10.2139/ssrn.5149718","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003281184-3","name":"Evolution and Operation of Wind Turbine Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-3","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.24072/pci.archaeo.100624.d1","name":"Decision Revise: Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation. Round#1","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.archaeo.100624.d1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T11:44:59Z","doi":"10.24072/pci.archaeo.100624.d1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.3390/machines13121123","name":"A Predictive Maintenance Approach for Composting Plants Based on ERP and Digital Twin Integration","source":"crossref","abstract":"This study presents an integrated predictive maintenance framework for industrial machinery, designed through the combined use of digital twin technology, enterprise resource planning (ERP) systems, and machine learning algorithms. The proposed system focuses on enhancing machine reliability and operational automation by connecting physical assets with their virtual counterparts and management systems. The digital twin acts as a real-time virtual model of critical equipment—such as aeration motors, mixers, and reactors—enabling continuous monitoring, dynamic simulation, and predictive fault detection. Meanwhile, the ERP system provides an integrated environment for maintenance scheduling, data management, and resource allocation, ensuring that maintenance decisions are data-driven and synchronized with operational workflows. Machine learning algorithms, implemented using hybrid physical–data models, predict equipment degradation trends and optimize maintenance interventions. The proposed framework was validated in an industrial-scale composting facility, where results demonstrated a 40% increase in mean time to failure (MTTF), a 35% reduction in repair time, and a 30% decrease in maintenance costs, resulting in a return on investment of 42.5% within the first year. The system’s modular architecture and high adaptability to different machinery types confirm its potential applicability to broader machine design and automation contexts, supporting the transition toward intelligent, self-maintaining industrial systems.","url":"https://doi.org/10.3390/machines13121123","authors":["Hamed Nozari","Agnieszka Szmelter-Jarosz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T08:21:43Z","doi":"10.3390/machines13121123","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1016/b978-0-12-821631-6.12001-8","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.12001-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:59Z","doi":"10.1016/b978-0-12-821631-6.12001-8","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1117/12.3066926","name":"Digital twin and reinforcement learning-based additive manufacturing optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3066926","authors":["Pavlenko Petro","Bojian Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T13:08:26Z","doi":"10.1117/12.3066926","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00022-3","name":"IoT-based battery management system in the electric vehicle charging station","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00022-3","authors":["B.P. Pradeep Kumar","Maaz Ahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:49:02Z","doi":"10.1016/b978-0-443-34174-8.00022-3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11590994","name":"PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11590994","authors":["Arman Dogru","R. Irem Bor-Yaliniz","Nimal Gamini Senarath"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11590994","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.62830/mmj2-01-19c","name":"Management of Peri-partum cardiomyopathy in twin pregnancy","source":"crossref","abstract":"Peripartum cardiomyopathy (PPCM) is a rare but severe form of heart failure that develops between the last month of pregnancy and five months postpartum, characterised by a left ventricular ejection fraction (LVEF) of less than 45%. The condition often mimics normal pregnancy symptoms, leading to delayed diagnosis and complications. This case report discusses a 34-year-old woman with a twin pregnancy following in vitro fertilisation (IVF) and pregnancy-induced hypertension, who developed PPCM at 35.2 weeks of gestation. Her rapid progression to severe symptoms necessitated intensive care and multidisciplinary intervention. This report is unique due to the combination of a twin IVF pregnancy, an underlying hypertensive disorder, and critical peripartum complications that were managed successfully. It highlights the unmet need for timely diagnosis and interprofessional collaboration in managing PPCM.","url":"https://doi.org/10.62830/mmj2-01-19c","authors":["Ankita Chandna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-12T09:31:17Z","doi":"10.62830/mmj2-01-19c","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-031-25692-9_5","name":"The Hydraulic Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_5","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.5194/isprs-archives-xlviii-m-9-2025-203-2025","name":"From Digital Twin to Memory Twin: A Holistic Framework for Cultural Heritage Documentation, Interpretation, and Adaptive Reuse","source":"crossref","abstract":"Abstract. Cultural heritage worldwide is increasingly at risk due to climate change, armed conflict, urbanisation, illicit trafficking, and the broader forces of globalisation. These natural and human-induced threats contribute to the irreversible loss of both tangible and intangible cultural assets. In response, heritage digitisation has advanced significantly - from basic 2D documentation to sophisticated 3D technologies - underscoring the urgent need for structured, ethically grounded methodologies in data acquisition. This paper introduces the Memory Twin: an innovative framework that redefines digital heritage representation by integrating high-fidelity visuals with Paradata, Metadata, Data and intangible cultural values. Building on and extending the Holistic Historic Building Information Modelling (HHBIM) approach, the Memory Twin enriches digital heritage environments with narrative, emotional, and community-driven content, fostering inclusive access, transparency, and long-term cultural significance. Developed within the framework of the EU-funded HERITALISE project, this paper explores both the theoretical foundations and practical application of the Memory Twin through a detailed case study of Villa Portelli in Malta. By integrating 3D scanning, archival research, oral histories, and participatory engagement, the project constructs a multi-dimensional digital portrayal of the site’s material, historical, and social layers. Aligned with the FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) principles, the Memory Twin ensures semantic interoperability, ethical stewardship, and community empowerment. It marks a paradigm shift in heritage digitisation - from static documentation toward participatory, value-driven preservation - offering a scalable, sustainable model for safeguarding cultural heritage amid global challenges.","url":"https://doi.org/10.5194/isprs-archives-xlviii-m-9-2025-203-2025","authors":["Anthony Cassar","Drew Baker","Marinos Ioannides"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-01T20:42:06Z","doi":"10.5194/isprs-archives-xlviii-m-9-2025-203-2025","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.5194/egusphere-egu24-20502","name":"Integrated Water Planning Portal: Feasibility study for a development-oriented digital twin to facilitate integrated water management through targeted data and model sharing.","source":"crossref","abstract":"Recently, we have seen an increase in models that combine powerful technical simulations with efficient visualizations and user interfaces that support decision-making in environmental and urban policies. These tools, known as Digital Twins (DTs) have been currently applied to water management and cities, however, their use tends to be limited to reduced groups of technical experts, policymakers and city officials, with the models behind these tools not being openly available, even though they may be publicly funded. Simultaneously developers, who may be interested in using these models to assess their proposals, cannot access them and must develop their local models, in many cases trying to catch up with new legislation.&amp;#160; A more efficient and open method could be implemented based on sharing evidence-based models through the planning application process. We call this an Integrated Water Planning Portal (IWPP), which consists of a web platform that gives developers access to a water systems model to test their proposals and use this work in the planning application process, which can be done through the same platform. In parallel to this, planners can use the portal to review this work, comment on it or give a final planning verdict. For such a system to work, robust data-sharing and model deployment protocols need to be implemented to strike a balance between accuracy, understandability and data protection. We present work on the feasibility of IWPP, based on prototype development and semi-structured interviews with stakeholders in the UK water management field. Evidence from this work suggests a targeted approach to modelling and data collection which is presented in a model framework. This approach satisfies the requirements of different stakeholders and provides a robust base for further development of tools such as IWPP.","url":"https://doi.org/10.5194/egusphere-egu24-20502","authors":["Eduardo Rico Carranza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T12:43:31Z","doi":"10.5194/egusphere-egu24-20502","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5237596","name":"Digital Twin System for Deepwater Well Construction: Enhancing Operational Efficiency and Safety","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5237596","authors":["Jin YANG","Jin Yang","Haiyan Zheng","Bin Chen","De Yan","Jianchun FAN","Yingfang Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-30T23:48:17Z","doi":"10.2139/ssrn.5237596","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21203/rs.3.rs-6669150/v1","name":"Digital Twin of Climate Responsive Smart Cities and the Application of Meteorological Data in Sustainable Urban Design","source":"preprints","abstract":"Abstract To achieve the design and construction of climate responsive smart cities, this study proposes a sustainable urban flood control scheduling optimization system based on digital twins and meteorological data. The new system can use urban climate data and digital twin technology to achieve flood warning and flood evolution in cities, providing better guidance for urban development and design. The results indicated that the scheduling model used had better flood control scheduling effect, with a water level reduction of 7 m and 5 m compared to the simulated annealing model. The water flow rate was reduced by 803 m 3 /s and 1243 m 3 /s compared to the simulated annealing algorithm. The water level of the reservoir has decreased by 6 m and 5 m compared to the genetic algorithm model. The scheduling peak optimization effect of the new model used in this study was the best, with the highest value reaching 92.5%. Therefore, by using the new system model, optimization analysis of sustainable urban flood control scheduling can be achieved. This has good reference value for the development of sustainable urban design.","url":"https://doi.org/10.21203/rs.3.rs-6669150/v1","authors":["Xiaoyun Li","Nili Guo","Chunxiao Zhang","Jingjing Jia"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6669150/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7990839/v1","name":"Development of a digital twin of a powertrain for efficiency estimations with machine learning and physical modeling","source":"preprints","abstract":"Abstract Accurate prediction of the efficiency of electromechanical powertrains is crucial for the development of electric vehicles. Until now, this has been done through time-consuming and costly test bench investigations in late development phases. To address that, digital modeling and development processes are implemented in the product development process. Although, existing modeling approaches such as simulations or classical data-driven models often have limitations in terms of prediction accuracy, prediction speed, or model size. To address this problem, this paper develops five different data-driven modeling approaches for digital twins, ranging from simple black-box models to hybrid grey-box approaches. In addition, a sixth modeling approach, a white-box model, was conducted as a reference to the other model approaches. Validation is based on recorded measurement data from a test bench setup of an electromechanical powertrain consisting of a permanent magnet synchronous machine and a multi-stage transmission.The evaluation includes classic error metrics such as mean absolute error and mean relative error, but also model size, training times, and prediction speeds. In addition, a quotient of input and output variables is included, which is used to evaluate the information content of the model structure. Despite a slightly increased error tolerance, the final bright-grey-model approach offers the best compromise between prediction accuracy, real-time capability, and a high output-to-input quotient. The results demonstrate that data-driven digital twins with physically informed structures enable early and real-time prediction of the efficiency of electromechanical powertrains.","url":"https://doi.org/10.21203/rs.3.rs-7990839/v1","authors":["Lennart Kopp","Niels Ockert","Luca Cadau","Markus Kley"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7990839/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1201/9781003532286-2","name":"Using Blockchain-Enabled Digital Twins to Optimize Healthcare Workflows and Improve Efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-2","authors":["R. Palraj","Swagata Sarkar","Kiran Kakade","Ashok Vajravelu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/s00607-025-01609-6","name":"Semantic-aware LLM orchestration for proactive resource management in predictive digital twin vehicular networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00607-025-01609-6","authors":["Seyed Hossein Ahmadpanah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-29T11:59:43Z","doi":"10.1007/s00607-025-01609-6","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.20944/preprints202507.0797.v1","name":"Thermal Field Reconstruction on Microcontrollers: A Physics-Informed Digital Twin Using Laplace Equation and Real-Time Sensor Data","source":"preprints","abstract":"This paper presents a physics-informed digital twin designed for real-time thermal monitoring and visualization of a metallic plate. The system comprises a physical layer consisting of an aluminum plate equipped with thermistors to capture boundary conditions, a computational layer that implements the steady-state Laplace equation using the finite difference method, and an embedded execution framework deployed on a microcontroller that utilizes Direct Memory Access-driven ADC for efficient concurrent acquisition. The computed thermal field is transmitted through a serial interface and displayed in real time using a Python-based visualization interface. The Steinhart–Hart model was used to experimentally characterize the sensors, ensuring accuracy in the boundary condition acquisition. Results demonstrate that the proposed architecture can simulate and reconstruct internal thermal states with high spatial resolution in resource-constrained hardware. This affordable, real-time approach is suitable for educational applications, industrial training, industrial thermal diagnostics, and the prototyping of embedded digital twin systems. Future extensions include adaptive mesh refinement, dynamic thermal modeling, and integration with control systems.","url":"https://doi.org/10.20944/preprints202507.0797.v1","authors":["Victor H. Benitez","Jesus Pacheco","Agustin Brau-Avila"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0797.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.4018/979-8-3693-4369-2.ch008","name":"Digital Twin-Enhanced Sentiment Analysis for Targeted Marketing Optimization","source":"crossref","abstract":"This research presents a digital twin-enhanced sentiment analysis model for optimizing targeted marketing strategies using multi-objective optimization. By integrating BERT-based sentiment analysis, digital twin simulation, and evolutionary algorithms, the framework dynamically adjusts marketing actions to maximize engagement, minimize costs, and enhance personalization accuracy. The proposed Greedy Man Optimization Algorithm (GMOA) outperforms traditional methods, achieving superior results in consumer targeting and cost efficiency. Findings demonstrate the effectiveness of AI-driven adaptive marketing, providing a scalable and ethical approach to modern digital advertising.","url":"https://doi.org/10.4018/979-8-3693-4369-2.ch008","authors":["Hamed Nozari","Sepideh Samadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-29T13:00:48Z","doi":"10.4018/979-8-3693-4369-2.ch008","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519282","name":"REVISED A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation\n         \t\t\t[version 2; peer review: 4 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519282","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:42Z","doi":"10.1080/27525783.2023.12519282","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.64229/32a94q67","name":"Research on Development of Software Industry and Intelligent Industry in Taiyuan City","source":"crossref","abstract":"This research report focuses on the theme of development of software industry and intelligent industry in Taiyuan City. Through on-site inspections of local enterprises in Taiyuan and demonstration parks and innovation bases in advanced areas such as Beijing, Suzhou, Wuxi, and Nanjing, the current situation, existing problems, and future paths of software and intelligent industry development in Taiyuan City are analyzed. The report points out that Taiyuan City has achieved certain results in policy support, infrastructure, and talent cultivation, but compared with developed areas, there are still problems such as incomplete industrial ecology, small enterprise scale, insufficient cross-border integration, and talent shortage. To this end, the report proposes suggestions such as strengthening top-level design, optimizing industrial layout, focusing on key areas (such as artificial intelligence and industrial software), and improving element guarantee. It also draws on the experience of Suzhou Nanocity, Wuxi Xuelang Town, Nanjing Software Valley, etc., to provide feasible solutions for Taiyuan to build a new highland for the development of software and intelligent industries in the central region.","url":"https://doi.org/10.64229/32a94q67","authors":["Zhiheng Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-01T02:35:36Z","doi":"10.64229/32a94q67","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5939057","name":"Federated Digital Twin Framework for Resilient Substation Reconfiguration in UK Distribution Networks under EV Growth and Net-Zero Targets","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5939057","authors":["SAMI ASTAN","Dr. Amin Hajizadehi","Kavan Fatehi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-18T21:36:58Z","doi":"10.2139/ssrn.5939057","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21203/rs.3.rs-8269878/v1","name":"3D geologic modeling for digital twin applications: insights from the Bedretto Underground Laboratory","source":"europepmc","abstract":"Abstract Accurate 3D geological models are instrumental to the development of reliable digital twin frameworks for underground research and engineering, yet their development is hindered by the complexity of integrating multi-scale, multi-source, and heterogeneous datasets. Here, we present a set of comprehensive, multi-scale geological models of the area surrounding the Bedretto Underground Laboratory for Geosciences and Geoenergies (BULGG - Bedretto lab; Central Swiss Alps). Using an implicit geological modeling approach, we computed three interconnected models that capture the regional geologic and tectonic framework, the distribution of the main deformation structures, and domains with different structural and petrophysical properties along the Bedretto tunnel. These models integrate geological data from regional maps, remote sensing lineament analyses, field surveys, and tunnel-scale observations to produce georeferenced 3D meshes and visualizations. Our models can be adopted to visualize the geometry of deformation structures affecting the Rotondo granite and the Gotthard nappe, hosting the Bedretto Lab. These models are instrumental for efficient outreach activity and communication in multidisciplinary research environments, such as those characterizing underground research facilities. They also provide a quantitative, georeferenced, and geologically-sound framework to understand the spatial distribution of anisotropic properties in the underground. The models offer a high-resolution foundation for investigating hydro-seismo-mechanical processes, informing experimental design, and enabling advanced simulation workflows within a digital twin environment. 3D geological models are meant to be dynamic representation of the underground environment, evolving with the increasing amount of available knowledge resulting from geological, geophysical, monitoring, and modeling efforts.","url":"https://doi.org/10.21203/rs.3.rs-8269878/v1","authors":["Alberto Ceccato","Emily Hinshaw","Whitney M. Behr","Alba S. Zappone","Domenico Giardini"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8269878/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1201/9781003532286-11","name":"Role of 5G in Healthcare 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-11","authors":["V. Lakshmi","Sujatha Rajkumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-11","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/access.2025.3547672","name":"Enhancing Cybersecurity of a Hydroelectric Power Plant Through Digital Twin Modeling and Explainable AI","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3547672","authors":["Ismail Erkek","Erdal Irmak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-03T18:36:06Z","doi":"10.1109/access.2025.3547672","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.6081546","name":"Digital Twin Technology in Network Design and Management","source":"crossref","abstract":"Digital twin (DT) technology is redefining the ways communication networks can be designed, operated, and managed. DTs allow for monitoring, analysis, and improvement of networks at any point in the network's lifecycle through the construction of replica networks. As networks become more sophisticated, more research and consideration is warranted for DT networks (DTNs) as the basis for smart network planning and self-managing systems (Barricelli et al.; Wu et al.; Mashaly). This research utilizes a systematized, literature-based analytical approach. It focuses on the peer-reviewed literature related to DTNs and surveys, in particular, the literature related to DTNs and surveys, in particular, the literature related to modeling, control loops, and integration of DTs, and real-world implementations of DTs. The works of recent authors in DT architectures, AI-enabled management, and the real-world implementations of DTs have been used to identify the trends, potential, and challenges of the chosen authors (Wu et al.; Almasan et al.; Khan et al.). The analysis shows that predictive network planning, real-time performance optimization, and closed-loop control are possible from the integration of sensing, analytics, and actuation within DTNs. Persistent challenges include network-wide scalability, high data-fidelity, and sustained synchronization between the physical and virtual components (Zhao et al.; Hui et al.; Poorzare et al.). DTN's influence on network planning and management is profound, especially in digital twin technology. However, for the construct to attain its operational best, issues of architecture, interoperability, and standardization of DTN are needed (Lin et al.; Wieme et al.).","url":"https://doi.org/10.2139/ssrn.6081546","authors":["Rengalu Sudam Dora"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T11:13:48Z","doi":"10.2139/ssrn.6081546","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5776845","name":"ParaSpectra: A Generative Digital Twin Framework for the OPA-based Fluorescence Determination of Ammonium","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5776845","authors":["Wanwen Li","Ying Chen","Junfei Liu","Junru Zhang","Liyong Niu","Dandan Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T14:37:03Z","doi":"10.2139/ssrn.5776845","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.3390/sym17091494","name":"Research on Fault-Diagnosis Technology of Rare-Earth Permanent Magnet Motor Based on Digital Twin","source":"openalex","abstract":"To address the persistent challenges in diagnosing bearing faults, this study proposes an intelligent diagnostic framework based on the principle that mechanical faults manifest as symmetry-breaking phenomena in a system’s vibration signals. In a healthy motor, vibration signals exhibit a high degree of symmetry, whereas faults introduce identifiable and distinct asymmetries. This study constructs a high-fidelity digital twin model based on the five-dimensional model theory to simulate both the symmetrical (healthy) state and various asymmetrical faulty states of motor bearings—specifically, inner race, outer race, and rolling element faults—thereby effectively addressing the critical issue of data scarcity. Building upon this framework, fault features characterizing these asymmetries are accurately extracted using an optimized variational mode decomposition (VMD) algorithm and subsequently classified with a convolutional neural network–bidirectional long short-term memory (CNN-BiLSTM) model. The results validate the model’s ability to accurately replicate bearing-fault data. The proposed diagnostic method achieves a stable and high average accuracy of 98.44 ± 0.41% over multiple runs on the simulation data. Furthermore, its effectiveness was validated on a public real-world bearing dataset, where it achieved an accuracy of over 95%, demonstrating its robustness and potential for industrial applications by effectively identifying fault-induced asymmetries.","url":"https://doi.org/10.3390/sym17091494","authors":["Yangrui Ma","Yaqiao Zhu"],"tags":["Robustness (evolution)","Computer science","Vibration","Artificial intelligence","Finite element method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"10.3390/sym17091494","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1101/2025.10.14.682276","name":"Digital Twin Approaches for Interpretable Side Effect Prediction in Drug Discovery","source":"preprints","abstract":"Abstract Artificial intelligence plays an ever-greater role in preclinical drug development, ranging from target identification and molecule design to ADME-Tox prediction; however, predicting side effects before performing clinical trials is still lagging behind. The best performing side effect predictors in the literature use either ATC codes, which are expert-derived features not even available at early stages, or graph neural networks based on chemical similarity, which - although use readily available features - are “black boxes” that do not deliver actionable insights. We argue that a paradigm shift is needed. Instead of using the latest neural network architectures that have proved worthy in other domains with a plethora of available data, one could use the off-targets of the compounds and build simple and interpretable predictors of side effects. To add another layer of biological realism, intricate biophysical mechanisms within the cells could also be simulated and used as features for training. Although not outperforming the current methods by a great margin, this digital twin-based model has the benefit of being interpretable, i.e., it puts biology behind the predictions. We showcase, with real-world examples, how the side effects predicted by this model can be interpreted and traced back to off-target proteins, and the complexes and signaling pathways in which they partake. In this way, the proposed model not only provides actionable insights, but in the future, may contribute to the amendment of secondary pharmacology assays. Highlights No standard tool is available to predict side effects in early-phase drug discovery. As publicly available side effect data is scarce, only simple models should be trained. Simple models trained on biorealistic features, such as off-target proteins, are interpretable. Interpreting predictions can highlight critical off-targets and are therefore actionable.","url":"https://doi.org/10.1101/2025.10.14.682276","authors":["András Ecker","Gergely Szabó","János Szalma","Erzsébet Fichó","István Reguly","Attila Csikász-Nagy"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.14.682276","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1007/978-3-031-25692-9_4","name":"The Thermal Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_4","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.5891304","name":"A Hard-constrained Physics-Informed Neural Network for Localized Digital Twin Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5891304","authors":["Yanjie Kang","Jun Yang","Yuan Zhou","Yuan Yuan","Sulin Qin","Yong Li","Yupeng Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-09T11:37:19Z","doi":"10.2139/ssrn.5891304","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.5772/intechopen.1008910","name":"Perspective Chapter: From Avatar Technology to Interactive Holographic Digital Twin","source":"crossref","abstract":"The present work discusses developing and applying interactive digital twins and their holographic rendering as new tools to enforce emotional engagement in learning environments and digital museum experiences. In this work, we will demonstrate how a digital twin—an avatar made extremely realistic through the learning of the speaker’s silhouette, facial expressions, gestures, and voice during the model’s learning and construction phase—provides the user with an exceptionally immersive, realistic, and captivating learning experience. The authors first discuss the developments in avatar and digital twin technologies, on the way toward ever more responsive data-driven holographic twins that would mimic human behaviors and reactions while being recorded with real-time emotional responses from museum visitors. The new framework now combines artificial intelligence, holography, and natural language processing to give a customized educational experience while emotionally engaging the viewer through a system that harmonizes third-party solutions, like HeyGen AI to create avatars, which are modeled on real people; the Holo Tube holographic projector to create a 3D digital twin; and Gamma AI to produce content presentations that are highly engaging and visually appealing. The novel methodology introduced can be applied in many domains and reveals the higher potential of digital twins than avatars, for improving educational environments while creating immersive emotionally engaging experiences in museums, thus opening new ways of engaging with cultural heritage.","url":"https://doi.org/10.5772/intechopen.1008910","authors":["Gerardo Iovane","Iana Fominska","Maurizio Sibilio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-29T14:43:59Z","doi":"10.5772/intechopen.1008910","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.14201/adcaij.33105","name":"Performance-Oriented Digital Twin Technologies for Digital Characters and Avatars: A Bibliometric and Thematic Analysis","source":"crossref","abstract":"This bibliometric study analyzes the evolution of research on digital actors from 1995 to 2023 using data from the Scopus and Web of Science databases. Through a systematic and rigorous selection process, the study identifies publication growth patterns, leading authors and journals, geographical contributions, and the thematic evolution of the field. Unlike previous bibliometric reviews focused broadly on digital twins or virtual avatars, this study uniquely examines the intersection between digital twin technologies and performance-oriented digital actors, integrating perspectives from engineering, artificial intelligence, and digital character creation. The findings delineate an emerging and previously underexplored research subfield and provide a structured framework that highlights conceptual trends, research gaps, and directions for future studies.","url":"https://doi.org/10.14201/adcaij.33105","authors":["Mauricio Hincapié Montoya","Jesús Alejandro Guzmán-Ramírez","Alejandro Valencia-Arias"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T12:00:11Z","doi":"10.14201/adcaij.33105","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.63125/m7zdfp94","name":"Resilient Smart Manufacturing Systems Using Predictive Analytics and Digital Twin Technologies","source":"crossref","abstract":"This study examined how predictive analytics and digital twin technologies contribute to resilient smart manufacturing systems in increasingly complex and disruption-prone industrial environments, where many firms still struggle with fragmented data systems, reactive maintenance, and limited adaptive response capability. The purpose of the research was to determine whether predictive analytics and digital twin technologies individually and jointly strengthen resilience outcomes in smart manufacturing settings. The study adopted a quantitative, cross-sectional, case-based design and drew on data from cloud-enabled and enterprise-oriented smart manufacturing cases involving production, operations, maintenance, quality, and digital systems personnel. A total of 240 questionnaires were distributed, 221 were returned, and 210 valid responses were used for final analysis, yielding an 87.5% valid response rate. The key independent variables were predictive analytics and digital twin technologies, while the dependent variable was resilient smart manufacturing systems, measured through dimensions such as disruption anticipation, adaptive response, recovery speed, operational continuity, and system flexibility. Data were collected using a five-point Likert scale instrument and analyzed through descriptive statistics, reliability testing, Pearson correlation, and multiple regression. The findings showed high mean scores for predictive analytics (M = 4.08, SD = 0.61), digital twin technologies (M = 3.96, SD = 0.66), and resilient smart manufacturing systems (M = 4.14, SD = 0.58). Correlation results revealed that predictive analytics had a strong positive relationship with resilience (r = 0.721, p &lt; .001), while digital twin technologies also showed a strong positive relationship (r = 0.684, p &lt; .001). Regression analysis indicated that predictive analytics (β = 0.482, p &lt; .001) and digital twin technologies (β = 0.361, p &lt; .001) significantly predicted resilience, with the overall model explaining 58.9% of the variance (R² = 0.589, F = 86.47, p &lt; .001). The study implies that manufacturing firms can substantially improve operational continuity, adaptability, and recovery readiness by integrating predictive intelligence with digitally synchronized system representation, thereby advancing more resilient and strategically adaptive smart manufacturing ecosystems.","url":"https://doi.org/10.63125/m7zdfp94","authors":["K M Tanvir Anjum Anick"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T06:10:19Z","doi":"10.63125/m7zdfp94","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.30785/mbud.1643310","name":"Digital Twin Research Trends on Elements of Built Environment","source":"crossref","abstract":"Deployment of digital twins is developing at a slow pace in the built environment practice, which includes the “architecture, engineering and construction” (AEC) sectors. This study investigates the built environment studies from the perspective of digital twins and aims to determine the research tendencies and focus points. For that purpose, a bibliometric analysis was performed employing data from the Web of Science platform and VOSviewer was utilized for visualization. Bibliometric analysis focused on three main elements: buildings, infrastructure, and urban areas. The findings indicate the prominence of technologies such as building information modeling (BIM) and the Internet of Things (IoT), especially for building- and urban-scale inquiries. Findings of this study offer a comprehensive overview regarding the state-of-the-art of digital twin research on built environment and provide valuable insights for scholars, practitioners, and policymakers. Study outcomes further shed light on the recent evolution of digital twin concept in the AEC sector.","url":"https://doi.org/10.30785/mbud.1643310","authors":["Pelin Fırat Örs","Mina Aslan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-31T08:34:24Z","doi":"10.30785/mbud.1643310","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.56127/ijst.v4i2.2249","name":"AI-Driven Digital Twin for Energy Optimization in Green Data Centers","source":"crossref","abstract":"This study proposes the development of an AI-driven digital twin for data centers aimed at improving energy efficiency, reducing carbon footprint, and enhancing operational performance. The digital twin—a virtual replica of the physical data center—will be equipped with real-time AI algorithms to predict thermal loads, analyze cooling requirements, and automatically adjust operations to minimize energy consumption. This paper explores the integration of AI with digital twin architectures, tests its performance in simulated scenarios, and evaluates potential energy savings as well as contributions to Green IT practices.","url":"https://doi.org/10.56127/ijst.v4i2.2249","authors":["Isni Oktria"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-11T14:23:21Z","doi":"10.56127/ijst.v4i2.2249","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.52783/jier.v5i1.1998","name":"Leveraging Digital Twin Technology to Gain E-Service Quality for EdTech in India","source":"crossref","abstract":"This study explores the influence of key factors on E-Service Quality in educational systems, with a focus on Digital Twin Technology. Using regression analysis, it identifies that Staff Training, Financial Investment in Technology, and Stakeholder Involvement significantly enhance E-Service Quality. However, the Degree of Digital Twin Adoption and Digital Twin Features show no significant impact. These results highlight that the mere adoption of Digital Twin Technology or its features is insufficient for improving service quality. Instead, the effective implementation and integration of the technology are crucial. The study suggests that educational institutions should prioritize staff training, increase investments in technology, and engage stakeholders in decision-making. By addressing these areas, organizations can enhance their e-service offerings, leading to better service delivery, higher patron satisfaction, and improved overall performance. The findings emphasize the importance of a comprehensive and practical approach to leveraging Digital Twin Technology in education systems.","url":"https://doi.org/10.52783/jier.v5i1.1998","authors":["B N Sivakumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-14T07:48:05Z","doi":"10.52783/jier.v5i1.1998","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5741323","name":"An Explainable EM–UKF Hybrid Digital Twin with Residual Whitening and Adaptive Uncertainty Quantification for Reactor Power Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5741323","authors":["Charles Nzoley","Emmanuel Kojo Mensa-Kent","Stephen Yamoah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-13T01:36:49Z","doi":"10.2139/ssrn.5741323","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1108/ecam-04-2025-0604","name":"Predictive digital monitoring of construction resources: an integrated digital twin solution","source":"crossref","abstract":"Purpose Optimising resource utilisation on construction sites is essential for achieving key performance indicators related to cost, time and sustainability. While recent advances have explored the integration of 4D building information modelling (BIM) with technologies such as the Internet of things (IoT) and immersive tools, widespread adoption remains limited due to system complexity, scalability and integration challenges. This paper introduces the digital twins–based site resource monitoring (DTSRM) system as an integrated solution to support efficient and sustainable construction resource management. Design/methodology/approach A research gap was identified through a critical literature review. A predictive DTSRM system was then developed in multiple phases, including the creation of digital twin (DT) models and components such as ontology, IoT networks and machine learning (ML) algorithms. The system was tested using IoT simulators and C# scripts to ensure sensor data integration and functional validity. Synthetic datasets, designed to realistically simulate construction site conditions, were generated using Python to evaluate the system’s performance. Findings DTSRM offers a real-time, integrated approach by collecting data from construction equipment and material storage through IoT sensors visualised within the BIM model. ML techniques enable the prediction of equipment productivity and the tracking of material consumption and inventory levels. This allows for timely, data-driven decisions that minimise delays and excess inventory costs. Practical implications DTSRM enables project stakeholders to prioritise resource allocation across multiple sites based on live productivity and inventory data. By reducing waste and improving efficiency, it directly supports circular economy principles in construction. The DTSRM ontology, though currently focused on equipment and materials, can be extended to include human resources for productivity and health and safety monitoring. Originality/value This research offers a practical, scalable solution that integrates DT, BIM, IoT and AI technologies to monitor construction resources in real time. Unlike many existing frameworks, DTSRM explicitly contributes to the circular economy by promoting resource efficiency, minimising waste and supporting informed decision-making across the construction lifecycle.","url":"https://doi.org/10.1108/ecam-04-2025-0604","authors":["Faris Elghaish","Saeed Reza Mohandes","Farzad Rahimian","Sepehr Abrishami","M. Reza Hosseini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-13T09:32:16Z","doi":"10.1108/ecam-04-2025-0604","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-981-99-5804-7_1","name":"Introduction to Digital Twin Technologies in Transportation Infrastructure Management (TIM)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-5804-7_1","authors":["Wenjuan Wang","Qasim Zaheer","Shi Qiu","Weidong Wang","Chengbo Ai","Jin Wang","Sicheng Wang","Wenbo Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-05T13:02:59Z","doi":"10.1007/978-981-99-5804-7_1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-3373-7785-8.ch005","name":"Digital Twin-Driven Innovation in Autonomous Vehicle Systems Through Modelling, Prototyping, and Lifecycle Optimization","source":"crossref","abstract":"This chapter explores the integration of Digital Twin (DT) technology in Autonomous Vehicles (AVs), emphasizing its role in enhancing vehicle safety, performance, and operational efficiency. Digital Twins create dynamic, real-time virtual models that replicate the physical state of AVs, enabling continuous monitoring, predictive maintenance, and system optimization. By facilitating predictive analytics and simulating real-world driving scenarios, Digital Twins bridge the gap between physical systems and simulations, improving safety validation and decision-making accuracy. Despite significant benefits, challenges remain, including data synchronization, computational demands, and security concerns. Future research should focus on enhancing scalability, integrating with vehicle-to-everything (V2X) systems, and exploring AI-driven optimization techniques. This chapter highlights the transformative potential of Digital Twins in the development and lifecycle management of AVs, offering a comprehensive understanding of their current and future impact on autonomous mobility.","url":"https://doi.org/10.4018/979-8-3373-7785-8.ch005","authors":["Mahfjur Rahman","Mirza Asif Mahmud","Noboranjan Dey","Kazi Tanvir","Zishan Ahmed Onik","Dipta Gomes"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T15:49:29Z","doi":"10.4018/979-8-3373-7785-8.ch005","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.67228/30713498/ijadsmc-2025pii1b5n","name":"AI-Powered Digital Twin Frameworks for Industrial Process Optimization","source":"crossref","abstract":"Industry 4.0 technologies are transforming manufacturing into intelligent, interconnected, and data-driven systems. Among these innovations, Digital Twin (DT) technology creates virtual replicas of physical assets, processes, and systems to enable real-time monitoring and optimization. When integrated with Artificial Intelligence (AI), Digital Twins provide a powerful framework for predictive maintenance, anomaly detection, process optimization, and autonomous control. By leveraging IoT sensors, edge computing, cloud platforms, and machine learning algorithms, AI-driven Digital Twins continuously synchronize physical and virtual environments to support intelligent decision-making. The proposed framework includes data acquisition, preprocessing, digital modeling, AI analytics, simulation, optimization, and decision support layers. Techniques such as Artificial Neural Networks (ANNs), Deep Learning (DL), Reinforcement Learning (RL), and predictive analytics are used to identify operational patterns and optimize industrial performance. Key performance indicators, including production efficiency, resource utilization, product quality, energy efficiency, downtime reduction, and system reliability, demonstrate the effectiveness of the framework. Experimental results indicate that AI-enabled Digital Twins can improve industrial productivity by over 20%, reduce maintenance costs, and enhance decision-making accuracy. The study highlights the transformative potential of AI-driven Digital Twins in enabling autonomous industrial operations, sustainable manufacturing practices, and the development of future smart factories.","url":"https://doi.org/10.67228/30713498/ijadsmc-2025pii1b5n","authors":["Suresh Babu Reddy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-25T08:12:00Z","doi":"10.67228/30713498/ijadsmc-2025pii1b5n","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2196/preprints.87768","name":"AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging (Preprint)","source":"crossref","abstract":"UNSTRUCTURED Age-related cognitive dysfunction, including mild cognitive impairment and dementia, underscores the need for scalable and personalized predictive models. We present a conceptual artificial intelligence-driven digital twin framework to support early detection, real-time monitoring, and adaptive intervention. The system is structured around 4 core processes: perception, analytics, decision-making, and adaptive feedback, and is organized across 5 functional layers: data acquisition, integration, modeling, reasoning, and application. Multimodal behavioral, physiological, and clinical data are harmonized using Fast Healthcare Interoperability Resources and Observational Medical Outcomes Partnership standards. Predictive modeling uses convolutional and recurrent neural networks, gradient boosting, and reinforcement learning. The framework is designed for cloud-based deployment on platforms that support HIPAA-aligned implementation, including Amazon Web Services and Microsoft Azure, with 7 application modules spanning signal-based and pose-based assessment, personalized mind-body training, cognitive rehabilitation, and disease trajectory simulation. This architecture offers a foundation for precision cognitive care in aging populations.","url":"https://doi.org/10.2196/preprints.87768","authors":["Yu Liu","Keming Yan","Siying Ma","Hao Deng","Jian Kong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T12:20:06Z","doi":"10.2196/preprints.87768","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5460517","name":"Towards Digital Twin-Enabled Greenhouse Management: Enhancing Climate Resilience and Sustainability through Machine Learning-Driven Controlled Environmental Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5460517","authors":["EFSTATHIOS GERAMPINIS","Fotini Kalafati","Nikolaos Matsatsinis","George Arampatzis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-09T04:36:58Z","doi":"10.2139/ssrn.5460517","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5366919","name":"Navigating the Twin Transformation: A Multi-Level Perspective on the Interplay between Digital and Sustainability Dynamic Capabilities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5366919","authors":["Irene  Rachel Jonkers","Nicolas Chevrollier","Albert Plugge","Tara Vester"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-26T12:42:31Z","doi":"10.2139/ssrn.5366919","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21956/openreseurope.22069.r66225","name":"Peer Review Report For: Developing a digital twin for the ammonia fuelling system structure: A systems approach [version 1; peer review: 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/openreseurope.22069.r66225","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-31T05:16:06Z","doi":"10.21956/openreseurope.22069.r66225","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.24072/pci.archaeo.100624.rev13","name":"Review of: Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation. Round#1/Reviewer#3","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.archaeo.100624.rev13","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T11:45:00Z","doi":"10.24072/pci.archaeo.100624.rev13","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.21956/digitaltwin.19014.r28972","name":"Peer Review Report For: Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 1; peer review: 3 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19014.r28972","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19014.r28972","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.36227/techrxiv.173893286.62201118/v1","name":"Towards Building a Digital Twin for Network Operation and Management","source":"crossref","abstract":"With the growth of telecommunication networks driven by resource-intensive applications, the expansion of IoT, the rise of data centers, and the advancements of 5G and future 6G networks, monitoring and maintenance are becoming increasingly important for network operators. In this sense, the Network Digital Twin (NDT) is emerging as a promising technology to mirror a network’s whole operational and management lifecycle to optimize its performance without compromising the real network. In this work, we propose an NDT solution supported by a new data integration methodology and a prototypical architecture for translating information from the network management domain into a knowledge-based interoperable model. Our case study shows how this NDT can be used to reveal the capabilities of real networks in terms of configuration and operational status, providing benefits for network control and management to facilitate the application of closed-loop network automation systems.","url":"https://doi.org/10.36227/techrxiv.173893286.62201118/v1","authors":["Daniel González-Sánchez","Luis Bellido","Ignacio D. Martinez-Casanueva","David Martínez-García","David Fernández","Diego R. Lopez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T07:54:28Z","doi":"10.36227/techrxiv.173893286.62201118/v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519280","name":"REVISED A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation\n         \t\t\t[version 2; peer review: 4 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519280","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:33Z","doi":"10.1080/27525783.2023.12519280","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.3390/engproc2026130003","name":"Reducing Carbon Emissions in Shoe Manufacturing Through Digital Twin-Enabled Project Management","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2026130003","authors":["Mohan Reddy Devireddy","Arivazhagan Anbalagan","Shone George","Marcos Kauffman","Tengfei Long"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T09:11:03Z","doi":"10.3390/engproc2026130003","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5212671","name":"A Digital Twin-Based Multi-Agent Framework for Understanding and Optimizing Smart Building Hvac Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5212671","authors":["Mahfuz Ahmed Anik","Azmine Toushik Wasi","Abdur Rahman","Md Manjurul Ahsan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-10T18:36:44Z","doi":"10.2139/ssrn.5212671","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1515/9783111670744-003","name":"47Chapter 3 Integrating AI and digital twin technology in cancer therapy","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111670744-003","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-19T19:43:29Z","doi":"10.1515/9783111670744-003","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.12688/digitaltwin.17682.2","name":"A novel framework for online decision-making and feedback optimization of complex products process parameter based on edge-cloud collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17682.2","authors":["chong han","guanghui zhou","chao zhang","yongrui yu","dongxu ma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-24T07:35:07Z","doi":"10.12688/digitaltwin.17682.2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5574004","name":"Towards Digital Twin-Enabled Greenhouse Management: Enhancing Climate Resilience and Sustainability through Machine Learning-Driven Controlled Environmental Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5574004","authors":["EFSTATHIOS GERAMPINIS","Fotini Kalafati","Nikolaos Matsatsinis","George Arampatzis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-07T06:49:44Z","doi":"10.2139/ssrn.5574004","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.14311/app.2025.54.0067","name":"Prestress load distribution modeling for containment digital twin model","source":"crossref","abstract":"This paper examines the prestress load distribution in the ducts of the prestressing tendons of a VVER-type nuclear reactor containment. It introduces a method for distributing the simplified linear load from the prestressing cable onto the surface area of the duct. Furthermore, a procedure for applying this calculation to a detailed numerical 3D model of a containment segment is described. This method can be implemented into computational software, such as OOFEM, to incorporate this more accurately defined load into a comprehensive stress analysis of the segment. Realistic definition of load distribution from prestressing tendons on the surface of the ducts is critical for identifying potential deviations from a uniform prestress distribution within the containment wall. This, in turn, facilitates assessments such as evaluating the extension of the structure’s service life.","url":"https://doi.org/10.14311/app.2025.54.0067","authors":["Matyáš Ratislav","Bořek Patzák","Petr Štemberk","Jan Štěpán"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T10:31:01Z","doi":"10.14311/app.2025.54.0067","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.20944/preprints202510.1127.v2","name":"A Data Rate Monitoring Approach for Cyberattack Detection in Digital Twin Communication","source":"preprints","abstract":"The increasing integration of Digital Twins (DTs) in Industry 4.0 environments establishes the physical-virtual communication layer as a critical vector for cyber vulnerabilities. Current literature predominantly focuses on complex security mechanisms, leaving a gap in the exploration of fundamental and computationally cost-effective network metrics. This paper addresses this gap by validating a non-intrusive attack detection method based exclusively on monitoring data rate throughput. A Docker simulation environment was used to emulate Denial of Service (DoS), Man-in-the-Middle (MiTM), and other intrusion attacks. The results demonstrate that each attack produces a distinct and detectable statistical signature. For example, the DoS attack caused a 50-fold increase in packet rate. We conclude that data rate analysis represents a viable and complementary approach to IIoT security, providing a robust, interpretable, and cost-effective first line of defense towards developing more resilient Digital Twins.","url":"https://doi.org/10.20944/preprints202510.1127.v2","authors":["Cláudio H. Albuquerque Rodrigues","Waldir S. S. Júnior","Wilson Dias de Oliveira","Isomar Silva"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.1127.v2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202510.1127.v1","name":"A Data Rate Monitoring Approach for Cyberattack Detection in Digital Twin Communication","source":"preprints","abstract":"The increasing integration of Digital Twins (DTs) in Industry 4.0 environments establishes the physical-virtual communication layer as a critical vector for cyber vulnerabilities. Current literature predominantly focuses on complex security mechanisms, leaving a gap in the exploration of fundamental and computationally cost-effective network metrics. This paper addresses this gap by validating a non-intrusive attack detection method based exclusively on monitoring data rate throughput. A Docker simulation environment was used to emulate Denial of Service (DoS), Man-in-the-Middle (MiTM), and other intrusion attacks. The results demonstrate that each attack produces a distinct and detectable statistical signature. For example, the DoS attack caused a 50-fold increase in packet rate. We conclude that data rate analysis represents a viable and complementary approach to IIoT security, providing a robust, interpretable, and cost-effective first line of defense towards developing more resilient Digital Twins.","url":"https://doi.org/10.20944/preprints202510.1127.v1","authors":["Cláudio H. Albuquerque Rodrigues","Waldir S. S. Júnior","Wilson Dias de Oliveira","Isomar Silva"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.1127.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1201/9781003425724-13","name":"Blockchain-Based Digital Twin Design","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-13","authors":["Esra Kumaş","Hamide Özyürek","Serdar Çelik","Zeynep Baysal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-13","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.26907/1562-5419-2025-28-4-884-902","name":"Digital Twin of Parking Space","source":"crossref","abstract":"Increasing urbanization and motorization lead to a shortage of parking spaces, resulting in congestion, increased emissions, and a declining quality of life. Traditional parking management methods are ineffective in addressing this issue, necessitating the use of data analysis and forecasting tools. This paper examines the use of a digital twin of the Kazan parking system. Data was filtered and integrated, points of interest were clustered, and a correlation analysis of factors influencing parking occupancy was performed. Linear regression, decision tree, random forest, XGBoost, MLP, and LSTM models were trained and compared to predict occupancy levels. The random forest model demonstrated the best results. The developed digital twin prototype enables monitoring and scenario modeling, making it an effective tool for parking space optimization and management decision-making.","url":"https://doi.org/10.26907/1562-5419-2025-28-4-884-902","authors":["Rifkat Nurgalievich Minnikhanov","Timur Ruslanovich Batorshin","Ruslan Marselevich Gabbazov","Ruzel Ildarovich Fakhraziev","Alexey Sergeevich Katasev","Maria Vitalievna Dagaeva","Inzil Rinatovich Badrutdinov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-05T13:17:34Z","doi":"10.26907/1562-5419-2025-28-4-884-902","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1163/9789004725232_165","name":"Soil moisture data assimilation in a digital twin of potato fields","source":"crossref","abstract":"","url":"https://doi.org/10.1163/9789004725232_165","authors":["H.M. Vaessen","B. Maestrini","F.D. Sijbrandij"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-18T08:41:08Z","doi":"10.1163/9789004725232_165","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.58257/ijprems43544","name":"DIGITAL TWIN FOR BUILDINGS: A MODEL FOR PREDICTING BUILDING PERFORMANCE AND POST-CONSTRUCTION MANAGEMEN","source":"crossref","abstract":"","url":"https://doi.org/10.58257/ijprems43544","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-30T05:48:49Z","doi":"10.58257/ijprems43544","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.3390/agriculture15202126","name":"Design of a Predictive Digital Twin System for Large-Scale Varroa Management in Honeybee Apiaries","source":"openalex","abstract":"Varroa mites are a major global threat to honeybee colonies. Combining digital twins with scenario-generating models can be an enabler of precision apiculture, allowing for monitoring Varroa spread, generating treatment scenarios under varying conditions, and running remote interventions. This paper presents the conceptual design of this system for large-scale Varroa management in honeybee apiaries, with initial validation conducted through simulations and feasibility analysis. The design followed a design research framework. The proposed system integrates a wireless sensor network for continuous hive sensing, image capture, and remote actuation of treatment. It employs generative time-series models to forecast colony dynamics and a statistical network model to represent inter-colony spread; together, they support spread scenario prediction and what-if evaluations of treatments. The system evolves through continuous updates from field data, improving the accuracy of spread and treatment models over time. As part of our design research, an early feasibility assessment was carried out through the generation of synthetic data for spread model pretraining. In addition, a node-level energy budget for sensing, communication, and in-hive treatment was developed and matched with battery capacity and life calculations. Overall, this work outlines a path toward real-time, data-driven Varroa management across apiary networks, from regional to cross-border scales.","url":"https://doi.org/10.3390/agriculture15202126","authors":["Shahryar Eivazzadeh","Siamak Khatibi"],"tags":["Varroa","Apiary","Field (mathematics)","Beekeeping","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"10.3390/agriculture15202126","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.5206052","name":"A Digital Twin-Based Condition Monitoring Framework for Deep Cone Thickeners: Real-Time Health Assessment and Stress Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5206052","authors":["Weizhong Wang","Tian Han","Yihong Yang","Ang Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-05T04:42:32Z","doi":"10.2139/ssrn.5206052","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5405399","name":"Experimental Validation of the Ensemble Kalman Filter as a Laser Powder Bed Fusion Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5405399","authors":["Nathaniel Wood","Edwin Schwalbach","Sean Donegan","Andrew Gillman","David  J. Hoelzle"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-26T02:38:35Z","doi":"10.2139/ssrn.5405399","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.36227/techrxiv.173893286.62201118/v3","name":"Toward Building a Digital Twin for Network Operations and Management","source":"crossref","abstract":"With the growth of telecommunication networks driven by resource-intensive applications, the expansion of IoT, the rise of data centers, and the advancements of 5G and future 6G networks, monitoring and maintenance are becoming increasingly important for network operators. In this sense, the Network Digital Twin (NDT) is emerging as a promising technology to mirror a network’s whole operational and management lifecycle to optimize its performance without compromising the real network. In this work, we propose an NDT solution supported by a new data integration methodology and a prototypical architecture for translating information from the network management domain into a knowledge-based interoperable model. Our case study shows how this NDT can be used to reveal the capabilities of real networks in terms of configuration and operational status, providing benefits for network control and management to facilitate the application of closed-loop network automation systems.","url":"https://doi.org/10.36227/techrxiv.173893286.62201118/v3","authors":["Daniel González-Sánchez","Luis Bellido","Ignacio D. Martinez-Casanueva","David Martínez-García","David Fernández","Diego R. Lopez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-22T22:44:05Z","doi":"10.36227/techrxiv.173893286.62201118/v3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519279","name":"REVISED A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation\n         \t\t\t[version 2; peer review: 4 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519279","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:30Z","doi":"10.1080/27525783.2023.12519279","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1515/9783111646893-003","name":"49Chapter 3 Enhancing healthcare training with digital twin technology: a multidisciplinary approach","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111646893-003","authors":["Sahil Lal","Ismail Suardi Wekke","Bhupinder Singh","Ashima Jain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-29T07:15:09Z","doi":"10.1515/9783111646893-003","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003507390-1","name":"Introduction of Blockchain in Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-1","authors":["Devi E. M. Roopa","R Shanthakumari","S Dhanushya","G Kiruthika"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.24072/pci.archaeo.100624.rev12","name":"Review of: Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation. Round#1/Reviewer#2","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.archaeo.100624.rev12","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T11:44:59Z","doi":"10.24072/pci.archaeo.100624.rev12","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.54941/ahfe1006257","name":"Object-Oriented Encapsulation-Based Virtual Equipment Modeling for Digital-Twin Production Systems","source":"crossref","abstract":"As digital-twin technology becomes integral to smart manufacturing, the creation of high-fidelity yet maintainable virtual equipment models is critical for effective production-unit debugging and system-level coordination. This paper presents an object-oriented encapsulation approach that leverages information-hiding and interface-uniformity mechanisms to modularize device states, interfaces, and behavior logic. By encapsulating each physical device within a self-contained class exposing only standardized input/output methods, the proposed method reduces coupling and enhances model reusability. We further introduce a hierarchical composition strategy, enabling seamless aggregation from single devices to work-unit, production-line, and workshop-level models. On top of this, we develop a semantic-signal aggregation framework and event-triggering mechanism that automatically translate low-level physical signals into discrete events for control and scheduling. A case study of a riveting workstation demonstrates improvements in interface consistency, modeling accuracy, and extensibility. The results confirm that our encapsulation-based modeling method offers a portable, scalable, and easily maintainable solution for digital-twin production systems, laying a solid foundation for advanced debugging workflows and intelligent decision support.","url":"https://doi.org/10.54941/ahfe1006257","authors":["Fengyi Feng","Xiaojun Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-28T23:00:47Z","doi":"10.54941/ahfe1006257","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.20944/preprints202512.1207.v1","name":"An Integrated Cyber-Physical Digital Twin Architecture with QFT Robust Control for NIS2-Aligned Industrial Robotics","source":"europepmc","abstract":"The article presents an integrated framework for robust control and cybersecurity of an industrial robot, combining Quantitative Feedback Theory (QFT), Digital Twin (DT) technology, and PLC-based architecture aligned with the requirements of the NIS2 Directive. The proposed concept, denoted as Cyber-Physical Digital Twin with QFT &amp;amp; NIS2 Security (CPDTQN), unifies control, observability, synchronization, and traceability mechanisms within a single cyber-physical structure. The study employs the five-axis industrial manipulator FANUC M-430iA/4FH, modeled as a set of SISO servo-axis channels subject to parametric uncertainty and external disturbances. For each axis, QFT controllers and prefilters are synthesized, and the system performance is evaluated using joint-space and TCP-space metrics, including maximum error, RMS error, and 3D positional deviation. A CPDTQN architecture is proposed in which the QFT controllers are executed in MATLAB, a Siemens PLC (CPU 1215C, FW v4.5) provides deterministic communication via Modbus TCP, OPC UA, and NTP/PTP synchronization, and the digital twin implemented in FANUC ROBOGUIDE reproduces the robot’s kinematics and dynamics in real time. This represents one of the first architectures that simultaneously integrates QFT control, real PLC-in-the-loop execution, a synchronized digital twin, and NIS2-oriented mechanisms for observability and traceability. Simulation results using nominal and worst-case dynamic models, as well as scenarios with externally applied torque disturbances, demonstrate that the system maintains robustness and tracking accuracy within the prescribed performance criteria. Furthermore, the study analyzes how the proposed CPDTQN architecture supports key NIS2 principles, including command traceability, disturbance resilience, access control, and mechanisms for forensic reconstruction in robotic manufacturing systems.","url":"https://doi.org/10.20944/preprints202512.1207.v1","authors":["Vesela Angelova Karlova-Sergieva","Boris Simon Grasiani","Nina Georgieva Nikolova"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.1207.v1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.54254/2753-8818/2025.24898","name":"Fusion Application of Digital Twin and Internet of Things in Smart Firefighting","source":"crossref","abstract":"This paper investigates the integrated application of digital twin technology and the Internet of Things (IoT) in smart firefighting systems. Traditional firefighting methods primarily rely on manual inspections, whereas smart firefighting achieves interconnectivity among devices and real-time monitoring through the IoT. Furthermore, it employs digital twin technology to construct dynamic simulation models, significantly enhancing the accuracy of fire warnings and the efficiency of rescue operations. From a technical perspective, digital twin technology functions through Building Information Modeling (BIM), computational fluid dynamics (CFD), and artificial intelligence (AI)-based prediction methods; IoT, on the other hand, operates through a layered architecture. Together, these technologies drive the development of real-time visualization, fire scenario simulation, and intelligent emergency response capabilities. This integration points the way toward building a more efficient and precise next-generation fire management system.","url":"https://doi.org/10.54254/2753-8818/2025.24898","authors":["Yueyi Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-20T13:01:03Z","doi":"10.54254/2753-8818/2025.24898","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.31223/x53f0t","name":"City-Scale Digital Twin Framework for Flood Impact Analysis: Integrating Urban Infrastructure and Real-time Data Analytics","source":"crossref","abstract":"Urban areas are increasingly vulnerable to flooding due to climate change and rapid urbanization. Traditional mapping and decision-support tools lack the capability to integrate real-time data or analyze cascading disruptions across interconnected urban systems. Digital twins offer a promising solution by enabling real-time monitoring, simulation, and optimization of urban environments. This study presents a comprehensive city-scale digital twin framework that integrates flood forecasting, transportation networks, and critical infrastructure systems into a unified, real-time cyberinfrastructure. By leveraging data from sensors, hydrological models, and geographic information systems (GIS), the framework enables interactive, three-dimensional simulations to assess flood impacts and their cascading effects on urban mobility and infrastructure. Using Waterloo, Iowa, as a case study, we demonstrate the framework’s ability to simulate flood scenarios, assess transportation disruptions, and generate actionable insights for disaster preparedness. The results highlight the framework’s potential to enhance urban resilience by providing a holistic understanding of interdependent urban systems, supporting data-driven decision-making, and advancing flood risk management strategies.","url":"https://doi.org/10.31223/x53f0t","authors":["Sumeyye Kaynak","Baran Kaynak","Omer Mermer","Ibrahim Demir"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-17T08:05:51Z","doi":"10.31223/x53f0t","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/swc62898.2024.00311","name":"Overcoming the Data Availability Paradox with Managed Digital Twin Instances","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00311","authors":["Christopher Ugbomah","Sandra Kumi","Richard K. Lomotey","Ralph Deters"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00311","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.31223/x54z22","name":"FloodOps Twin: A Role-Based Spatial Intelligence Digital Twin for Reducing Cognitive Overload in Urban Flood Emergency Operations","source":"crossref","abstract":"Rapid-onset urban flooding generates significant operational challenges for Emergency Operation Centers (EOCs), where decision-makers must interpret large volumes of heterogeneous hydrological, infrastructural, and transportation data under severe time constraints. Existing flood dashboards frequently rely on centralized visualization paradigms that expose all users to the same high-density information environment regardless of operational role, potentially increasing cognitive burden and decision latency. This study presents FloodOps Twin, a web-based urban flood digital twin framework designed to support adaptive operational intelligence through a Role-Based Spatial Intelligence (RBSI) architecture. The framework integrates real-time hydrological telemetry, National Weather Service flood thresholds, transportation network conditions, and parcel-level exposure datasets within a synchronized spatial decision-support environment. Iowa City, Iowa and conditions associated with the 2008 Iowa River flood were used as the operational case study to evaluate system behavior during escalating flood scenarios. The framework dynamically transformed shared telemetry into differentiated operational products for emergency managers, transportation teams, public works personnel, planners, and public users. Results demonstrated the capability of the system to support contextual situational awareness, roadway passability analysis, automated detour generation, infrastructure-oriented operational filtering, and dynamic economic exposure estimation within a unified operational environment. The study highlights the potential of cognitively adaptive digital twin architectures to improve urban flood coordination, operational scalability, and role-specific emergency intelligence. Future work should incorporate formal usability evaluation, predictive flood modeling, and AI-assisted operational analytics to further strengthen adaptive flood response capabilities.","url":"https://doi.org/10.31223/x54z22","authors":["S M Samiul Islam","Ibrahim Demir"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T22:49:27Z","doi":"10.31223/x54z22","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5472581","name":"A Damage-informed Digital Twin Framework for Self-sensing Cured-in-place Underground Pipelines","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5472581","authors":["Junyi Duan","Xingyu Wang","Huaixiao Yan","Sike Wang","Ying Huang","Chengcheng Tao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-11T21:24:32Z","doi":"10.2139/ssrn.5472581","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1080/27525783.2023.12519328","name":"REVISED Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels\n         \t\t\t[version 2; peer review: 2 approved, 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519328","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T11:07:27Z","doi":"10.1080/27525783.2023.12519328","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.58190/imiens.2025.154","name":"Digital Twin for Cryogenic Ejector Systems: Integrating Advanced Machine Learning and Dynamic Modeling","source":"crossref","abstract":"This paper presents an integrated Digital Twin (DT) framework for cryogenic ejector systems designed for Boil Off Gas (BOG) management in Liquefied Natural Gas (LNG) applications. Building on prior experimental and numerical studies, the proposed DT improves both predictive accuracy and dynamic adaptability by coupling Physics Informed Neural Networks (PINNs) with a transient dynamic model. The PINN integrates compressible flow conservation laws into its loss function, ensuring physical consistency during learning. A dataset of 1000 operating points was analyzed, revealing that the primary pressure (Pp) is the dominant factor influencing the entrainment ratio (ER). A baseline linear regression achieved an R2 equal to 0.791, while the PINN increased predictive accuracy to an R2 equal to 0.98. The dynamic model simulates the transient response of the ejector to sudden variations in BOG load, demonstrating the DT capability to anticipate system instability and enable real time control. Together, these components create a physically interpretable and computationally efficient digital framework capable of supporting the design, optimization, and operation of cryogenic ejectors. The results highlight the potential of the proposed DT to enhance energy efficiency, reliability, and safety in LNG processing systems through intelligent, physics based decision making.","url":"https://doi.org/10.58190/imiens.2025.154","authors":["Lotfi Snoussi","Olfa Fakhfakh","Ezzedine Nehdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-31T11:27:10Z","doi":"10.58190/imiens.2025.154","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.4018/979-8-3693-6417-8.ch011","name":"Securing the Digital Twin","source":"crossref","abstract":"This chapter explores the integration of cybersecurity strategies into the design and operation of digital twin technologies within the aviation industry. As digital twins become central to predictive maintenance, real-time simulation, and intelligent automation, they also introduce new cyber-physical vulnerabilities that can compromise safety and operational continuity. The chapter examines key threats across the digital twin lifecycle, from data acquisition to control systems, and proposes a layered security architecture tailored for aviation contexts. It emphasizes the need for proactive, strategic approaches that align cybersecurity with organizational structures, human resource management, and emerging technologies such as AI. By offering both conceptual frameworks and applied insights, the chapter contributes to a more resilient and secure digital transformation in aviation.","url":"https://doi.org/10.4018/979-8-3693-6417-8.ch011","authors":["Cengiz Kerem Kutahya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-14T10:27:06Z","doi":"10.4018/979-8-3693-6417-8.ch011","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.35854/1998-1627-2025-4-430-441","name":"Theoretical and practical aspects of creating a digital twin of an organization","source":"openalex","abstract":"Aim . The work aimed to identify the main approaches to creating digital twins of an organization (hereinafter referred to as DTO) and develop recommendations for their creation and implementation in accordance with the state of digital transformation of Russian organizations. Objectives . The work seeks to study the features of the current stage of development of the digital twin concept, as well as the directions of its evolvement; to propose a classification of digital twins depending on the complexity of the digital technologies used in them; to identify the boundaries of the concept of “digital twin of an organization”; to review existing approaches to the implementation of DTO; and to develop a model of the DTO architecture. Methods . The work employed the methods of analyzing scientific publications of Russian and international authors, theoretical generalization and systematization of data obtained from open sources, as well as economic and organizational modeling. Results . The study identified five stages of development of the digital twin concept. This concept, in accordance with the general law of evolution, developed under the influence of digital technologies corresponding to the period, while expanding its scope of application from a part of a product to a system, with an organization or an industrial enterprise being its special case. The work presents the characteristics of digital twins of the current stage, and proposes their classification depending on the complexity of implementation technologies. The work also identifies the boundaries of the concept of “digital twin of an organization.” The author formulated definitions of the concepts of “digital model of an organization” and “digital twin of an organization,” and outlined the key approaches to creating a DTO. Based on the classical approach, a model of the digital twin architecture for an industrial enterprise was developed. Conclusions . As part of the implementation of digital transformation, understanding the features of the digital twin functioning and structure enables management to make informed management decisions that help maintain the organization competitiveness and increase the flexibility of its business activities. The developed model of the DTO architecture can be used by managers of enterprises implementing digital transformation.","url":"https://doi.org/10.35854/1998-1627-2025-4-430-441","authors":["I. S. Tayurskaya"],"tags":["Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-22","doi":"10.35854/1998-1627-2025-4-430-441","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.12688/digitaltwin.17404.2","name":"Modeling of cross-scale human activity for digital twin workshop","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17404.2","authors":["Tingyu Liu","Mengming Xia","Qing Hong","Yifeng Sun","Pei Zhang","Liang Fu","Ke Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-22T11:50:06Z","doi":"10.12688/digitaltwin.17404.2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1080/27525783.2026.2614885","name":"The digital twin-enabled deformation prediction and control methodologies for thin-walled parts in intelligent manufacturing: a review","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2614885","authors":["Yufeng Wang","Zhengcai Zhao","Ning Qian","Wenfeng Ding","Honghua Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-15T15:20:37Z","doi":"10.1080/27525783.2026.2614885","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-031-25692-9_7","name":"The Electric Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_7","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_7","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1002/9781394257003.ch14","name":"Based on Digital Twin Technology, an Early Warning System and Strategy for Predicting Urban Waterlogging","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.ch14","authors":["Shweta Thakur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.ch14","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-3373-2028-1.ch021","name":"Applications and Challenges Cyber Security in Digital Twin and IoT Environment","source":"crossref","abstract":"The boundary point between the digital twin (DT) and Internet of Things (IoT) realms is really creating a difference in the world by utilizing real-time awareness, prediction analysis to support enhanced decision-making as well. However, this integration raises several critical questions related to cybersecurity, robustness, privacy, and trustworthiness of its system. This chapter presents major use cases and cybersecurity challenges of Digital Twin and IoT environments. It stresses the necessity for sound mechanisms that guarantee secure communication, access, and data integrity within these interconnected systems. Accordingly, the associated applications discussed are data encryption supporting a secure download, anomaly detection mechanisms in real-time to deter breaches, and enforcing zero-trust policies to maintain the confidentiality of functions. Major themes like extended threats cape, real-time processing requirements, resource-deprived IoT devices, and advanced-cyber-attacks are detailed and discussed.","url":"https://doi.org/10.4018/979-8-3373-2028-1.ch021","authors":["Yash Kumar Katara","Shruti Thapar","Ashima Tiwari","Ravinder Singh Maan","Jitender Jain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-08T12:19:03Z","doi":"10.4018/979-8-3373-2028-1.ch021","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.2139/ssrn.5110310","name":"Digital Twin-Driven Excavation Trajectory Planning of Unmanned Excavator Based on Multidisciplinary Co-Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5110310","authors":["Tianci Zhang","Zhibin Zhou","Changchang Yan","Jinzhao Yao","Xueguan Song","Kunpeng Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-24T18:36:48Z","doi":"10.2139/ssrn.5110310","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1038/s41598-025-97636-6","name":"Beam management for millimeter-wave mobile communications based on digital twin-enabled scenario cognition","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s41598-025-97636-6","authors":["Yuhong Huang","Youping Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-21T14:51:56Z","doi":"10.1038/s41598-025-97636-6","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.63438/fwtn6352","name":"Digital twin approach for post-harvest crop protection","source":"crossref","abstract":"This technical paper presents the Internet-of-Things (IoT) and cloud platform solution for post-harvest crop protection. Centaur Internet-of-Crops® (IoC) is an AI-based cloud platform that processes a wide variety of data coming from proprietary and 3rd party sensors (Temperature, Rel. Humidity, CO2, O2, Fumigant concentrations, Product quantity, NIR spectrometry data, Weather data) into predictive and prescriptive digital twins, for sustainable agri-food supply chains and farm-to-fork traceability. The wireless sensor solution has been conceived to work in demanding rural and industrial environments. Centaur IoC® uses Computational Fluid Dynamics (CFD), to create a digital twin (simulation-augmented model) and applies machine learning to predict quality related problems in stored crops and containerized or bulk shipments. Fusing IoT devices with digital twins and analytics allows to protect a large mass of food/agriproducts with a modest number of sensor devices, precisely determine the quantity of stored products, and uniquely identify the provenance and identity of a stored crop.","url":"https://doi.org/10.63438/fwtn6352","authors":["Georgios Kollias","Charalampos Patsianotakis","Antonis Sioutas","Sotiris Bantas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-17T12:36:37Z","doi":"10.63438/fwtn6352","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.4324/9781003631743-2","name":"Virtual and Physical Resources in the Twin Worlds","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003631743-2","authors":["Kecheng Liu","Hua Claria Guo","Qi Lecky Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-10T06:55:46Z","doi":"10.4324/9781003631743-2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1038/s41598-025-30513-4","name":"Digital twin-driven deep learning prediction and adaptive control for coal mine ventilation systems","source":"crossref","abstract":"Abstract Coal mine ventilation systems face critical challenges in real-time monitoring and dynamic control due to complex underground environments, time-varying operational conditions, and unpredictable disturbances. This study proposes an integrated framework combining digital twin technology, deep learning prediction models, and adaptive control strategies to achieve intelligent ventilation management. A five-dimensional digital twin architecture was constructed to establish bidirectional synchronization between physical ventilation networks and virtual models. An LSTM-Attention hybrid neural network was developed to capture temporal dependencies and predict ventilation parameters with mean absolute percentage error of 2.87% and coefficient of determination of 0.9612. An adaptive model predictive control strategy was designed to dynamically optimize fan operations and regulator positions based on predictive insights. Field validation at an operational coal mine over eight months demonstrated superior performance compared to conventional methods, achieving 97.3% control accuracy, 27% energy consumption reduction, and 66.4% faster system response. The proposed framework successfully addresses limitations of traditional ventilation control approaches and provides a practical solution for enhancing safety, efficiency, and sustainability in underground mining operations. This research contributes to advancing cyber-physical integration in mining engineering and demonstrates the viability of artificial intelligence technologies for complex industrial systems with safety-critical constraints.","url":"https://doi.org/10.1038/s41598-025-30513-4","authors":["Xijun Yang","Hui Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-04T20:53:26Z","doi":"10.1038/s41598-025-30513-4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.5220/0015194100004091","name":"Scalable Data Management for Smart Campus Digital Twin Applications","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015194100004091","authors":["Luís Afonso","Jo Almeida","José Oliveira"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-20T01:29:29Z","doi":"10.5220/0015194100004091","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003536420-5","name":"Artificial Intelligence of Sustainable Smart City Brain, Digital Twin, and Metabolism","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003536420-5","authors":["Simon Elias Bibri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-27T12:54:47Z","doi":"10.1201/9781003536420-5","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch008","name":"Digital Twin-Based Crop Yield Prediction in Agriculture","source":"crossref","abstract":"This chapter explores the transformative integration of digital twin technology and drone-based solutions in agriculture, focusing on the innovative Digital Twin Empowered Drones (DTEDs) system for predicting crop yields. The chapter delineates the workflow involving continuous data collection from IoT-based sensors and drones, feeding into a digital twin model, and utilizing advanced AI algorithms like YOLO V7 for real-time analysis. The system aims to enhance predictive capabilities, optimize resource utilization, monitor crop health, and provide data-driven decision support. Results indicate a remarkable prediction accuracy of 91.69%, showcasing the system's potential to revolutionize agriculture, empower farming communities, and contribute to global food security. The chapter concludes by outlining potential future enhancements and advancements, positioning the digital twin-based crop yield prediction system as a significant stride towards efficient and sustainable agricultural practices.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch008","authors":["D. Rajeswari","Athish Venkatachalam Parthiban","Sivaram Ponnusamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch008","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.5120/cae2025652913","name":"Developing a Model-based Digital Twin Architecture for Security Monitoring in Complex Systems","source":"crossref","abstract":"","url":"https://doi.org/10.5120/cae2025652913","authors":["Akinwumi David Adeola"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-04T18:56:46Z","doi":"10.5120/cae2025652913","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.31449/inf.v49i15.7903","name":"Integration of IoT and Digital Twin for Intelligent Management of Urban Underground Pipe Galleries in Smart Cities","source":"crossref","abstract":"The increasing complexity of urban infrastructure demands innovative solutions for effective management. This paper proposes an intelligent management system for urban underground pipe galleries, integrating Internet of Things (IoT) sensors and digital twin technologies to enhance operational efficiency in smart cities. The system enables real-time monitoring, predictive maintenance, and optimization of public services by creating a virtual replica of the underground infrastructure. The methodology involves deploying IoT sensors for continuous data collection and feeding this information into a digital twin model that simulates and predicts potential failures and maintenance needs, as well as measuring flow rate and temperature. This allows for proactive decision-making, minimizing downtime, and reducing maintenance costs. Experimental results demonstrate the effectiveness of the proposed system in optimizing urban infrastructure management. The system achieved a 92% prediction accuracy in identifying potential failures, enabling proactive maintenance, and reducing service disruptions by 40%. Predictive analytics minimized maintenance costs by 35%, while resource optimization improved task prioritization, significantly enhancing operational efficiency. These results highlight the transformative potential of integrating IoT and digital twin technologies for smarter and more sustainable city management. This research underscores the transformative potential of integrating advanced technologies like IoT and digital twin models in managing complex urban systems, with significant implications for smart city development and sustainability.","url":"https://doi.org/10.31449/inf.v49i15.7903","authors":["Yanfei Shen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-10T04:53:11Z","doi":"10.31449/inf.v49i15.7903","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003507000-3","name":"Digital twin maturity and readiness metrics for assessing practitioners' intention to use","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507000-3","authors":["Samad M. E. Sepasgozar","Sara Shirowzhan","Marco Mura","Alberto De Marco","Michael J. Ostwald","David Edwards"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T11:08:34Z","doi":"10.1201/9781003507000-3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1117/12.2641102","name":"Research on intelligent warehouse digital twin system based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2641102","authors":["Biao Feng","Minghua Jiang","Kunfang Song","Changlong Zhou","Feng Yu","Xiong Wei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-13T13:49:13Z","doi":"10.1117/12.2641102","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.64920/icbi25049","name":"SYSTEMATIC LITERATURE REVIEW ON DIGITAL TWIN-ENABLED PROCESS OPTIMISATION IN LARGE-SCALE APPAREL MANUFACTURING: FRAMEWORKS, FACTORS, AND APPLICATIONS IN DEVELOPING ECONOMIES","source":"crossref","abstract":"\"The transformation of manufacturing towards digital twin (DT) enabled systems has reshaped production process optimisation, especially within large-scale apparel industries. This study conducts a systematic literature review (SLR) to critically evaluate frameworks, influencing factors, and applications of DT-driven process optimisation with a focus on developing-economy contexts. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, 30 peer-reviewed articles published between 2018 and 2025 were examined from the database, Google Scholar. Each paper was assessed through quality screening and thematic categorisation. The analysis identified four major readiness domains: technological, organisational, human capital, and external/environmental factors that influence DT implementation for process optimisation. Findings reveal that DT enhances manufacturing efficiency through real-time monitoring, predictive simulation, and data-driven optimisation, yet adoption barriers persist in developing contexts due to infrastructure limitations, financial constraints, and workforce capability gaps. The review also synthesises recent frameworks integrating DT with Lean and Artificial Intelligence (AI) based optimisation models, presenting their relevance to operational excellence. This paper contributes to bridging the research gap by providing a consolidated perspective on DT readiness and optimisation frameworks applicable to Sri Lanka’s apparel sector and similar economies. It further suggests developing context-specific maturity models and hybrid frameworks that integrate DT into continuous improvement and sustainability strategies. Keywords: Apparel Manufacturing, developing economies, digital twin, operational excellence, process optimisation \"","url":"https://doi.org/10.64920/icbi25049","authors":["D. Thennakoon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T09:17:03Z","doi":"10.64920/icbi25049","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00033-1","name":"Enhancing automation and manufacturing with digital twin systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00033-1","authors":["Sarthak Jindal","Atul Mishra","Alok Mishra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00033-1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1002/9781394474486","name":"Digital Transformation of Industrial Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486","authors":["Khaled Benfriha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-031-21343-4_8","name":"Integration of Digital Twins &amp; Internet of Things","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_8","authors":["Giancarlo Fortino","Claudio Savaglio"],"tags":["Internet of Things","Computer science","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"10.1007/978-3-031-21343-4_8","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1002/9781394390205.ch9","name":"A Digital Twin‐Based NLP Chatbot for Self‐Assessment and Psychoeducation of Obsessive‐Compulsive Disorder","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.ch9","authors":["Shweta Gupta","Adesh Kumar","Surajit Mondal","Niraj Kumar","Ompal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.ch9","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1201/9781003425724-29","name":"Digital Twin Development – Understanding Tacit Assets","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-29","authors":["Petra Müller-Csernetzky","Shaun West","Oliver Stoll"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-29","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.51202/9783181024652-141","name":"AI-Powered Full Vehicle System Simulations reduces Physical Testing Structural Simulation Acceleration and Digital Twin Development in Agricultural Machinery","source":"crossref","abstract":"","url":"https://doi.org/10.51202/9783181024652-141","authors":["G. Gullo","M. Bromberger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-19T15:10:51Z","doi":"10.51202/9783181024652-141","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.12688/digitaltwin.17720.2","name":"Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications","source":"crossref","abstract":"Background The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous Artificial Intelligence (AI), distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.","url":"https://doi.org/10.12688/digitaltwin.17720.2","authors":["Min Shu","wanfei sun","jing zhang","xiaoyan duan","ming ai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T08:15:07Z","doi":"10.12688/digitaltwin.17720.2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.18254/s207751800022959-3","name":"Digital platforms of the metaverses as a digital twin","source":"crossref","abstract":"This study was carried out as part of the development of guidelines for the creation of an ecosystem digital platform for the industry of the Ural Federal District (URFO). The platform solves many urgent problems formulated by representatives of industry, science, public administration, education and investment. This study is devoted to solving one of the tasks set for the platform - reducing barriers to the implementation of digital transformation processes in the industry. To solve this problem, the ecosystem is supplemented with the introduction of the mathuniverse - augmented reality (XR) technology, as one of the constituent elements of the architecture of the ecosystem of the digital platform industry of the Ural Federal District.","url":"https://doi.org/10.18254/s207751800022959-3","authors":["Anna Barybina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-19T20:10:00Z","doi":"10.18254/s207751800022959-3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1007/978-3-031-67778-6_1","name":"Introduction to Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_1","authors":["Soheil Sabri","Kostas Alexandridis","Newton Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:16Z","doi":"10.1007/978-3-031-67778-6_1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1145/3756423.3756532","name":"Application Practice of AI Empowered Digital Twin Smart Campus Scene Design","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3756423.3756532","authors":["Yueyuan Zhao","Jinwei Liu","Ke Ni","Hao Zeng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-18T06:59:07Z","doi":"10.1145/3756423.3756532","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00020-2","name":"Digital twins for nutrition","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00020-2","authors":["Monireh Vahdati","Ali Mohammad Saghiri","Kamran Gholizadeh HamlAbadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:38:01Z","doi":"10.1016/b978-0-32-399163-6.00020-2","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.5220/0011066600003194","name":"Towards a Digital Twin Framework for Connected Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0011066600003194","authors":["Jan Gerhards","Tim Schneider","Pascal Hirmer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-27T22:36:51Z","doi":"10.5220/0011066600003194","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1080/27525783.2026.2708525","name":"Characterising domain gaps in milling tool wear prediction: the primary bottleneck for scalable Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2708525","authors":["Patrick Flore","Peter M. Simon","Marco Hussong","Nicole Krenkel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T16:15:03Z","doi":"10.1080/27525783.2026.2708525","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-031-66719-0_4","name":"Digital Twin Engineering Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-66719-0_4","authors":["John Fitzgerald","Ken Pierce","Klaus Kristensen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-24T12:02:30Z","doi":"10.1007/978-3-031-66719-0_4","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.54647/computer52286","name":"From Digital Document To Digital Twin - Towards Networked Knowledge and Culture","source":"crossref","abstract":"","url":"https://doi.org/10.54647/computer52286","authors":["Dehua Ju","Beijun Shen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-24T15:49:01Z","doi":"10.54647/computer52286","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/b978-0-12-823913-1.00040-3","name":"From the visible human project to the digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-823913-1.00040-3","authors":["Gunther Paul"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T13:05:34Z","doi":"10.1016/b978-0-12-823913-1.00040-3","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/raiic65850.2025.11169774","name":"Research on Digital Twin Technology of Robotic Arm Based on Matlab","source":"crossref","abstract":"","url":"https://doi.org/10.1109/raiic65850.2025.11169774","authors":["Lu Xia","Yangguang Jin","Zhiyuan Chang","Wenhui Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T17:35:23Z","doi":"10.1109/raiic65850.2025.11169774","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1145/3756423.3756495","name":"Research and Development of Key Technologies for Digital Twin Intelligent Production Line System","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3756423.3756495","authors":["Qiuhong Wang","Na Wang","Tao Pan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-18T06:59:07Z","doi":"10.1145/3756423.3756495","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.12688/digitaltwin.17692.1","name":"Practice on fifth-generation core (5GC) network fault self-recovery based on a Digital Twin","source":"crossref","abstract":"Background: The development of cloud-based, service-focused and intelligent networks has increased the demand for highly reliable, error-tolerant and computationally efficient means of reducing the costs associated with network operation, maintenance, testing and innovations. Methods: We present a fault self-recovery method for fifth-generation core (5GC) networks. Data models are built according to the data governance approach to include the equipment, links and services of the physical network in the digital twin. Visual topology technology is used to extract knowledge-as-a-service (KaaS) capabilities such as call quality tests, fault-propagation chain reasoning and disaster recovery analysis. Results: The proposed method realises 5GC closed-loop self-recovery through four processes: perception, analysis, decision-making and execution. In tests, it achieved 5GC network fault detection in 1 min, delimitation in 20 min, and recovery in 5 min. Conclusions: Through the network digital twin technology, based on the model and state data, the twinning capabilities such as simulation and event topology can be used to realize the network anomaly perception, fault rapid confinement and service survival decision, thus effectively improving the fault processing efficiency and reducing the fault impact.","url":"https://doi.org/10.12688/digitaltwin.17692.1","authors":["Yifeng Zheng","Huaming Kong","Na Wang","Mei Li","Xiaoyu Wang","Zhesheng Xia","Pei Wang","Chenhao Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-06T06:23:20Z","doi":"10.12688/digitaltwin.17692.1","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.21070/ijins.v27i2.1923","name":"ISO 23247 Digital Twin Model for JIT Supply Chain Visibility","source":"crossref","abstract":"General Background: Automotive supply chains operating under Just-in-Time (JIT) principles require high levels of supply chain visibility to maintain synchronized material flow and stable production rhythms. Specific Background: In practice, daily monitoring using the Material Information Flow Chart (MIFC) remains constrained by paper-based tools or non-integrated digital systems, resulting in information lead times of one to two weeks and limited support for real-time problem solving. Knowledge Gap: Although Digital Twin technology and ISO 23247 architecture provide a standardized digital representation framework, limited studies address structured integration of conventional MIFC with ISO 23247 for cross-supply chain material flow representation in JIT environments. Aims: This study proposes the design of an ISO 23247–based MIFC Digital Twin model (MIFCDT) to represent material flow through structured digital entities aligned with Observable Manufacturing Elements and standard information attributes. Results: The model maps seven MIFC symbols into OME Equipment and OME Process entities and formulates digital representations using identifier, characteristics, location, capacity, and dynamic status attributes capturing timestamp and quantity data. A conceptual automotive supply chain scenario demonstrates one-to-one correspondence between physical and digital entities, enabling structured monitoring of cycle time deviation and lead time delay. Novelty: The study introduces a structured digital representation model that bridges conventional MIFC practice with ISO 23247 architecture at the material flow level. Implications: The proposed model provides a conceptual foundation for real-time supply chain visibility and supports daily management in JIT-based automotive systems while opening pathways for further empirical implementation. Highlights • Structured mapping of seven MIFC symbols into ISO 23247 Observable Manufacturing Elements.• Formulation of static and dynamic digital attributes capturing timestamp, quantity, and location data.• One-to-one correspondence between physical production points and digital entities demonstrated in a conceptual automotive scenario. Keywords Digital Twin; ISO 23247; Supply Chain Visibility; Just-In-Time; Material Information Flow Chart","url":"https://doi.org/10.21070/ijins.v27i2.1923","authors":["Rudy Riyanto","Putu Dana Karningsih","Berlian Al Kindhi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-28T07:08:41Z","doi":"10.21070/ijins.v27i2.1923","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1016/b978-0-443-32918-0.00006-x","name":"Building blocks of a digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-32918-0.00006-x","authors":["Tarasankar DebRoy","Tuhin Mukherjee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-20T21:19:49Z","doi":"10.1016/b978-0-443-32918-0.00006-x","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1007/978-3-032-10362-8_7","name":"Climate Change, Marine Aquaculture and the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-10362-8_7","authors":["Gregor Reid","Lynne Falconer","Elisabeth Ytteborg","Brian Helmuth","Hanne Digre","Torstein Kristensen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-12T22:40:31Z","doi":"10.1007/978-3-032-10362-8_7","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.4043/35582-ms","name":"Point Cloud Instance Segmentation for Reducing Effort in Oil and Gas Digital Twin Construction","source":"crossref","abstract":"Abstract 3D point cloud data captured from Oil and Gas (O&amp;G) facilities are becoming increasingly abundant. This data supports the interactive visualization of complex plants, which is central to numerous industrial advancements. As industries seek to innovate and optimize their processes, the versatile use of 3D point cloud data is proving invaluable beyond traditional O&amp;G applications. The precision and comprehensiveness of 3D point cloud data facilitate efficient design, construction, maintenance and operational monitoring across various industrial sectors. Digital Twin (DT) solutions enable this by maintaining 3D representations, such as 3D CAD models, that accurately reflect the current state of facilities. As installations change, the process of 3D scanning is often repeated to capture the latest updates. Engineers and designers then use modelling software to visualize the resulting point cloud and update the facility's 3D representation, incorporating any new modifications. However, this involves interpreting the visual point cloud data and structuring it into meaningful objects (such as valves, tanks, etc.), a process that remains manual, requiring labor-intensive tasks that are prone to errors and incur significant costs due to the need for specialized labor. We propose an Artificial Intelligence approach, that uses a deep learning-based algorithm to automatically segment 3D objects within a point cloud. Our workflow recognizes instances of usual components of production systems, such as control valves, pipes, and transmitters. A state-of-the-art 3D instance segmentation approach is adapted to the O&amp;G domain. Given the lack of publicly available instance segmentation datasets in this domain, we manually annotate 54 scenes from an O&amp;G offshore plant, each of them around 20 m2 in footprint. To further enhance model training, we also incorporated synthetic point clouds. Practical results on real point clouds, acquired from operational facilities and pre-processed as required by commercial DT solutions, indicated a performance of approximately 70% success (f1-score) in segmenting components of O&amp;G production systems, reaching up to 85% for components such as control valves. Accordingly, a 52.4% reduction in costs and efforts associated with manually interpreting 3D point clouds is estimated. Point cloud instance segmentation has attracted much attention in the computer vision research community, and many approaches have been proposed. However, results in the literature are heavily biased toward a few benchmarking datasets, which were acquired in indoor environments like offices and rooms. Few studies have addressed the O&amp;G domain, creating a gap in the literature for achieving more competitive results. This lack of comprehensive research limits the potential for innovation and optimization in the industry. This paper contributes by (i) assessing the performance of state-of-the-art algorithms in the domain of O&amp;G facilities, (ii) proposing modifications to better generalize to components of O&amp;G production systems, (iii) objectively measuring the impact of this algorithm in reducing manual effort for engineers, and (iv) advancing towards a new DT functionality that derives an asset 3D representation, that is faithful to physical reality, through the automatic interpretation of point cloud scans.","url":"https://doi.org/10.4043/35582-ms","authors":["P. S. Freitas","W. Gavião Neto","V. C. Nardelli","C. Porto","A. Harrison","M. Sidahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T00:03:16Z","doi":"10.4043/35582-ms","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/dsn-w65791.2025.00055","name":"A Digital Twin Network for Proactive Security: The Smart Grid Use-Case","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dsn-w65791.2025.00055","authors":["Biagio Boi","Christian Esposito"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-14T17:41:19Z","doi":"10.1109/dsn-w65791.2025.00055","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1016/j.sctalk.2024.100406","name":"Digital twin-based decision support systems for natural disaster management: A systematic review of current trends and approaches","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sctalk.2024.100406","authors":["Solomon Inyang","Firouzeh Rosa Taghikhah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-26T07:12:21Z","doi":"10.1016/j.sctalk.2024.100406","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/icmlcn64995.2025.11139932","name":"Digital Twin Channel Modeling With Generative Adversarial Networks and Transfer Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmlcn64995.2025.11139932","authors":["Jiawei Wang","Chen Wang","Peiran Wu","Minghua Xia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-03T17:49:08Z","doi":"10.1109/icmlcn64995.2025.11139932","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/case58245.2025.11163898","name":"Video Diffusion based Digital Twin for Large Format Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/case58245.2025.11163898","authors":["Lu Liu","Haoyang Xie","Dylan Hoskins","Kyle Rowe","Feng Ju"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-23T17:24:07Z","doi":"10.1109/case58245.2025.11163898","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/etfa65518.2025.11205759","name":"A Hybrid Digital Twin Framework for Stability Analysis in Dynamic Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa65518.2025.11205759","authors":["Diogo Rocha","Rui Pinto","Gil Gonçalves"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T17:07:47Z","doi":"10.1109/etfa65518.2025.11205759","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.54216/jisiot.170102","name":"A deep learning-driven multi-layer digital twin framework with miot for precision oncology in cancer diagnosis","source":"crossref","abstract":"","url":"https://doi.org/10.54216/jisiot.170102","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-14T21:03:52Z","doi":"10.54216/jisiot.170102","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1177/18747655251335760","name":"Digital twin and official statistics: A paradigm shift?","source":"crossref","abstract":"This paper explores the transformative potential of Digital Twin (DT) technology for official statistics, offering a novel perspective on data collection, analysis, and application for policy-making and societal development. The paper is exploratory and speculative in nature, looking at the potential of this new technology. The burgeoning interest in DTs among official statisticians will be driven by the technology's ability to create virtual representations of physical entities, enabling real-time monitoring, simulation, and analysis. This interest is further amplified by initiatives from the European Commission and the High-Level Group for the Modernization of Official Statistics, highlighting the alignment of DTs with efforts to digitize industries and foster innovation across European member states. Like any new technology, the application of DTs in official statistics presents both opportunities and challenges. Opportunities include the potential for real-time data and forecasting, improved decision-making through scenario testing, enhanced precision in statistical models, and innovation in data collection methods. However, the adoption of DTs in official statistics is not without challenges, including technical complexity, data governance, privacy concerns, and the integration of diverse data sources. The paper discusses also the potential of DTs to advance the United Nations Sustainable Development Goals (SDGs) by providing a detailed, virtual replication of physical entities and systems. In theory DTs can offer a powerful analytical tool for optimizing interventions across the SDGs, enabling a more comprehensive understanding of the intricate relationships between different goals and facilitating targeted actions toward a sustainable future.","url":"https://doi.org/10.1177/18747655251335760","authors":["Hossein Hassani","Steve MacFeely"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T03:00:13Z","doi":"10.1177/18747655251335760","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/ict65093.2025.11046305","name":"Digital Twin as a Service for 6G Radio Access Networks: Functional Model and Key Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ict65093.2025.11046305","authors":["David Campoy","Irene Vilà","Jordi Pérez-Romero","Oriol Sallent"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-26T17:40:25Z","doi":"10.1109/ict65093.2025.11046305","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.37547/tajet/volume08issue03-07","name":"Application of Digital Twin Technology in Industrial Process Automation","source":"crossref","abstract":"Digital Twin technology has become one of the key component of Industry 4.0 and smart manufacturing systems. The concept enables real-time synchronization between physical industrial assets and their virtual representations. This research investigates the architecture, mathematical models, and predictive algorithms used in Digital Twin systems for industrial automation. A comprehensive mathematical framework based on dynamic system modeling, data-driven analytics, and predictive maintenance algorithms is proposed. Experimental analysis demonstrates that the implementation of Digital Twin technology improves monitoring accuracy, reduces downtime, and increases production efficiency. The proposed system integrates sensor networks, industrial IoT, cloud computing, and machine learning algorithms to optimize industrial operations.","url":"https://doi.org/10.37547/tajet/volume08issue03-07","authors":["Maksudov Nusratullo Fatxullayevich","To‘ychiyev Olimjon Alijonovich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-29T10:34:48Z","doi":"10.37547/tajet/volume08issue03-07","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.3389/fdgth.2023.1253050","name":"Digital twin for healthcare systems","source":"crossref","abstract":"Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather and analyze a wealth of patient data from various sources, digital twins can offer personalized treatment plans based on individual characteristics, medical history, and real-time physiological data. Predictive analytics and preventive interventions are made possible by machine learning algorithms, allowing for early detection of health risks and proactive interventions. Digital twins can optimize clinical operations by analyzing workflows and resource allocation, leading to streamlined processes and improved patient care. Moreover, digital twins can provide a safe and realistic environment for healthcare professionals to enhance their skills and practice complex procedures. The implementation of digital twin technology in healthcare has the potential to significantly improve patient outcomes, enhance patient safety, and drive innovation in the healthcare industry.","url":"https://doi.org/10.3389/fdgth.2023.1253050","authors":["Alexandre Vallée"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-07T13:26:18Z","doi":"10.3389/fdgth.2023.1253050","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/globecom59602.2025.11432591","name":"Digital Twin-Guided Energy Management over Real-Time Pub/Sub Protocol in 6G Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom59602.2025.11432591","authors":["Kubra Duran","Lal Verda Cakir","Sana Ullah Jan","Kerem Gursu","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-19T20:04:01Z","doi":"10.1109/globecom59602.2025.11432591","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1364/ofc.2025.w2a.44","name":"Digital Twin-Enabled Optical Network Channel Power Management by WSS and Booster Auto-Adjustment","source":"crossref","abstract":"With a digital twin implementing a multi-step lookahead mechanism, we experimentally demonstrate how to increase WSS adjustment margin budget for enhanced power management in optical networks.","url":"https://doi.org/10.1364/ofc.2025.w2a.44","authors":["Chenyu Sun","Xin Yang","Gabriel Charlet","Photios A. Stavrou","Yvan Pointurier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T14:57:22Z","doi":"10.1364/ofc.2025.w2a.44","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1680/jstbu.25.00086","name":"Research on the intelligent construction of prefabricated building based on digital twin","source":"crossref","abstract":"In recent years, the emergence of advanced information technology and artificial intelligence has significantly advanced the construction industry, leading to a new era characterized by intelligent construction. Prefabricated buildings, distinguished by their standard components, have emerged as a crucial factor in this evolution, demonstrating rapid growth. Intelligent construction embodies a groundbreaking methodology integrating advanced information technology with engineering construction techniques. An essential technical challenge involves efficiently integrating the ‘physical’ and ‘digital’ domains within prefabricated structures. This paper explores the integration of digital twin (DT) technology within the intelligent construction of prefabricated buildings. DTs offer real-time connectivity between digital and physical construction environments, supporting adaptive decision making and enhanced collaboration. The state-of-the-art literature is reviewed, a structured DT framework is proposed and applications in hoisting management, safety and predictive analytics are examined. The study provides strategic insights into advancing Construction 4.0 by addressing scientific challenges that hinder the transition to intelligent construction and establishing a theoretical foundation for this transformation.","url":"https://doi.org/10.1680/jstbu.25.00086","authors":["Yafeng Wen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-13T15:15:12Z","doi":"10.1680/jstbu.25.00086","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/icrera66237.2025.11283875","name":"Digital Twin-Enabled Cooperative Control for Networked DC Microgrids","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrera66237.2025.11283875","authors":["Xiaoran Dai","Guo-Ping Liu","Zhongcheng Lei","Wenshan Hu","Yiwei Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-19T18:55:20Z","doi":"10.1109/icrera66237.2025.11283875","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.46416/jkcia.2025.04.27.1.56","name":"Operational regulations for the digital twin platform","source":"crossref","abstract":"","url":"https://doi.org/10.46416/jkcia.2025.04.27.1.56","authors":["Jung Ho Park","Tae Yum Jeong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-12T01:05:48Z","doi":"10.46416/jkcia.2025.04.27.1.56","addedAt":"2026-09-01T01:47:32.413Z","updatedAt":"2026-09-01T01:47:32.413Z"},{"id":"doi:10.1109/ichora65333.2025.11017159","name":"Application of Digital Twin and Augmented Reality Fusion in Remote Maintenance of Complex Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichora65333.2025.11017159","authors":["Yisheng Lu","Jingwen Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-11T15:40:19Z","doi":"10.1109/ichora65333.2025.11017159","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.12688/digitaltwin.17720.1","name":"Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications","source":"crossref","abstract":"Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.","url":"https://doi.org/10.12688/digitaltwin.17720.1","authors":["Min Shu","wanfei sun","jing zhang","xiaoyan duan","ming ai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-24T08:15:07Z","doi":"10.12688/digitaltwin.17720.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1142/9789819801473_0014","name":"Digital twin-driven robotic arm operation simulation and health management research","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819801473_0014","authors":["Guofang Li","Kang Yang","Zhiyu Dong","Xiaoli Ji","Shaopei Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-19T09:19:46Z","doi":"10.1142/9789819801473_0014","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/ispa67752.2025.00210","name":"Poster: Digital Twin-Assisted Closed Loop Reinforcement Learning for Autonomous Vehicle Lane Changing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispa67752.2025.00210","authors":["Chang Liu","Ammar Hawbani","Ammar Muthanna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-28T18:39:56Z","doi":"10.1109/ispa67752.2025.00210","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1145/3727648.3727821","name":"Research on Application and Standardization of Digital Twin Technology in Ships","source":"openalex","abstract":"The application of digital twin technology in ships is in a stage of diversification. China made useful explorations and demonstration applications in this regard, and we hope to promote the application of related technologies through standards to ensure timely and accurate information exchange and mapping between simulation models and physical entities, accelerate the speed of technological iteration, reduce the difficulty of integration of products from different manufacturers, and be more conducive to the realization of intelligent functions of ships.","url":"https://doi.org/10.1145/3727648.3727821","authors":["Heng Li","Wei Liu"],"tags":["Standardization","Computer science","Systems engineering","Engineering","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"10.1145/3727648.3727821","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/ecai65401.2025.11095478","name":"Real-Time Pick-and-Place Optimization Using Q-Learning in a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecai65401.2025.11095478","authors":["Marius Constantin Marica","Nicu Bizon","Ionel Bostan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-04T18:34:06Z","doi":"10.1109/ecai65401.2025.11095478","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1109/ice/itmc65658.2025.11106621","name":"Digital Twin-Supported BESS Decision Support of RUL-Based Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ice/itmc65658.2025.11106621","authors":["Kai Zhao","Ying Liu","Wenlong Ming","Yue Zhou","Jianzhong Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-13T17:27:15Z","doi":"10.1109/ice/itmc65658.2025.11106621","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1109/peasa64120.2025.11182329","name":"Four-Phase Interleaved Synchronous Buck Converter Multi-Parameter Identification Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peasa64120.2025.11182329","authors":["Zheng Wu","Tao Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T17:51:45Z","doi":"10.1109/peasa64120.2025.11182329","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1149/ma2025-01271514mtgabs","name":"Comprehensive Digital Twin for Lithium-Ion Battery Cell Behavior Modeling","source":"crossref","abstract":"Simulation and modeling have significantly advanced the development and operation of lithium-ion (Li-ion) batteries. Various modeling approaches offer unique insights into the behavior and degradation mechanisms within Li-ion batteries, ranging from physics-based methods [1, 2] providing detailed analyses to data-driven models relying on measured data to estimate battery state. While data-driven approaches [3] require extensive datasets, physics-based models require precise battery material specification and computational complexity. The concept of a digital twin combines these modeling approaches, enabling the creation of a virtual replica of a physical system capable of real-time monitoring and analysis. This is particularly valuable as Li-ion batteries utilized second-life applications, where capacity typically declines by 20 - 30% from its nominal value, making them unsuitable for high-performance purposes. Digital twins address this challenge by continuously monitoring key parameters such as voltage, current, and temperature, enabling the prediction of degradation trends and the prevention of critical failures. [4] This research focuses on the development of a digital twin for nickel-manganese-cobalt (NMC) based Li-ion pouch cell. The approach combines a thermal physics-based representation to simulate temperature behavior with a data-driven methodology derived from hybrid pulse power characterization (HPPC) measurements. These measurements form the basis for a semi-empirical equivalent circuit configuration (ECM), capturing the battery’s electrical properties. To enable real-time applications, both the ECM and the thermal representation are simplified into a computationally efficient reduced order model (ROM), ensuring accurate and dynamic analysis while reducing complexity. The digital twin system also includes a hardware interface that enables direct interaction between the virtual model and the physical battery system. This technology monitors critical parameters and incorporates safety mechanisms, such as the capability to disconnect the battery system from the grid or activate protective measures to prevent thermal runaway. In second-life applications, the digital twin enhances the reliability of Li-ion batteries by detecting anomalies in real-time measurements and identifying potential risks before failures occur. Furthermore, it supports predictive maintenance and triggering protective actions to mitigate critical conditions. Through this approach, the digital twin not only ensures safe and efficient operation but also extends the lifespan of degraded batteries. Acknowledgement This publication was supported by the project \"The Energy Conversion and Storage\", funded as project No. CZ.02.01.01/00/22_008/0004617 by Programme Johannes Amos Comenius, call Excellent Research. References [1] S. M. Jordan, C. O. Schreiber, M. Parhizi, and K. Shah, “A new multiphysics modeling framework to simulate coupled electrochemical-thermal-electrical phenomena in Li-ion battery packs”, Applied Energy , vol. 360, 2024. [2] M. Mama, E. Solai, T. Capurso, A. Danlos, and S. Khelladi, “Comprehensive review of multi-scale Lithium-ion batteries modeling: From electro-chemical dynamics up to heat transfer in battery thermal management system”, Energy Conversion and Management , vol. 325, 2025. [3] R. Gao, Y. Zhang, and Z. Lyu, “A SOH estimation method of lithium-ion batteries based on partial charging data”, Journal of Energy Storage , vol. 103, 2024. [4] B. Wu, W. D. Widanage, S. Yang, and X. Liu, “Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems”, Energy and AI , vol. 1, 2020.","url":"https://doi.org/10.1149/ma2025-01271514mtgabs","authors":["Marek Sedlařík","Petr Vyroubal","Dominika Capkova","Martin Šedina","Tomáš Kazda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-21T07:35:48Z","doi":"10.1149/ma2025-01271514mtgabs","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1109/icmlcn64995.2025.11139983","name":"Modelling and Evaluating Optical Transmission with the OCATA Optical Time Domain Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmlcn64995.2025.11139983","authors":["Luis Velasco","Marc Ruiz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-03T17:49:08Z","doi":"10.1109/icmlcn64995.2025.11139983","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:32.414Z"},{"id":"doi:10.1109/models-c68889.2025.00096","name":"Model Consistency Management of a Brewery Digital Twin","source":"openalex","abstract":"Digital Twins (DTs) are often defined as a pairing of a physical entity (PE) and one or more virtual entities (VEs) where the latter mimics certain behaviors of the former to provide specific services. VEs are typically model-based software systems that incorporate a variety of multi-domain, multi-tool models that are essential throughout the DT’s lifecycle. Any inconsistency among these models, which occurs rather frequently, directly affects the performance, reliability, and effectiveness of a DT. In this paper, we present a system for managing the consistency of VE models contained within a DT of a microbrewery, which encapsulates the fermentation process to optimize beer production.","url":"https://doi.org/10.1109/models-c68889.2025.00096","authors":["Hossain Muhammad Muctadir","Yanyifan Liao","Loek Cleophas","Y.B. Liao"],"tags":["Consistency (knowledge bases)","Variety (cybernetics)","Computer science","Process (computing)","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-05","doi":"10.1109/models-c68889.2025.00096","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.1109/icassp49660.2025.10888901","name":"ArtTwin: A Novel Concept of Developing Digital Twin of Human Arterial System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icassp49660.2025.10888901","authors":["Akasapu Hemanthika","Dinu S Chandran","Sandeep Kumar","Sitikantha Roy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-12T13:52:43Z","doi":"10.1109/icassp49660.2025.10888901","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.3390/s26165150","name":"Development of a Digital Twin Monitoring Framework for Blade Polishing Robot Process Based on Cloud-Edge-Device.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165150","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26165150","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.isci.2026.116820","name":"Causal AI digital twin for bioprocess bottleneck diagnosis via metabolic flexibility and rigidification maps.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.116820","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.isci.2026.116820","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.12688/openreseurope.24443.1","name":"Urban digital twin governance readiness and institutional trust: Panel evidence from the EU","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/openreseurope.24443.1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/openreseurope.24443.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9487886/v1","name":"Optimizing Digital Twin for Net-Zero Retrofitting for UK Existing Building Stock","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9487886/v1","authors":["Thomas O. Okimi","Habeeb Balogun","OLAYINKA OMOBOYE","Imoleayo Awodele"],"tags":["Retrofitting","Interoperability","Stock (firearms)","Workforce","Construction engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9487886/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26154768","name":"Energy- and Cost-Efficient Healthcare Task Offloading via Network Edge Digital Twin.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154768","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26154768","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3389/frai.2026.1865219","name":"A multimodal, risk-stratified framework for AI-driven early risk prediction and personalised prevention in obesity.","source":"europepmc","abstract":"Obesity is a multifactorial chronic disease whose worldwide prevalence in adults has more than doubled since 1990, demanding a shift from reactive treatment towards early, personalised prevention. Artificial intelligence (AI) provides a methodological pathway for this shift by integrating heterogeneous, longitudinal evidence-genomic, metabolomic, electronic health record (EHR), wearable Internet-of-Things (IoT), behavioural, and social-environmental-and by translating that evidence into individualised, time-varying risk estimates. Yet the field is fragmented: most existing tools are unimodal, validated on narrow cohorts, opaque to clinicians, and disconnected from the workflows that would render their predictions actionable. In this Perspective we propose an explicit multimodal, risk-stratified framework that links five data layers to a continuous dynamic risk score R(t), defined as a weighted, time-varying aggregation of clinical, anthropometric, behavioural, psychosocial and pharmacological domains. R(t) drives an A/B/C tiering policy that allocates monitoring intensity and intervention modality proportional to risk, and feeds a metabolic-behavioural digital-twin loop in which counterfactual interventions are tested in silico before deployment. We argue that three technical commitments are non-negotiable for translation: (i) cross-modal fusion architectures that respect informative missingness, (ii) explainable, equity-audited risk scoring, and (iii) a five-stage validation pipeline anchored in TRIPOD-AI, decision-curve analysis and post-market drift surveillance. We discuss how this framework reframes long-standing concerns-black-box opacity, demographic bias, real-world fragility-as design constraints rather than afterthoughts, and outline an actionable research agenda for clinically deployable, equitable AI in obesity prevention.","url":"https://doi.org/10.3389/frai.2026.1865219","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1865219","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1186/s12911-026-03673-0","name":"Applications of digital twin technology in cardiometabolic disease management: a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12911-026-03673-0","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s12911-026-03673-0","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-10403290/v1","name":"Reflexive Digital Twin Marketing Theory: Governing Algorithmic Marketing Agents Through Reinforcement Learning","source":"europepmc","abstract":"Abstract Marketing scholarship has been slow to catch up with a marketing reality that now runs largely on algorithms. Recommendation engines shape what consumers see before they know what they are looking for. Dynamic pricing systems adjust in real time. Personalization engines build behavioral profiles that follow consumers across their entire journey. Existing theory tends to treat these systems either as efficiency tools or as sources of ethical risk, but rarely as the central phenomenon marketing theory needs to explain. This paper develops Reflexive Digital Twin Marketing Theory (RDTMT), which reframes algorithmic marketing as a sociotechnical system that co-evolves with consumers, firms, and regulators through continuous feedback instead of one-directional persuasion. The theory is built empirics-first. A PRISMA-ScR scoping review of 742 records (2000–2025) across Web of Science, Scopus, PubMed, and Google Scholar narrowed to 42 core studies at the intersection of digital twin applications, marketing analytics, and AI governance. A co-occurrence network analysis using VOSviewer surfaced four convergent clusters (continuous synchronization, adaptive intelligence, reflexive governance, and societal co-evolution), which we use as the empirical basis for three theoretical constructs: Digital Reflexivity, Ethical Feedback Elasticity, and the Value Coherence Index. We then formalize the relationships among these constructs as a Markov Decision Process, translating RDTMT's causal logic into nine reinforcement-learning equations that specify how algorithmic marketing systems can be evaluated not just for predictive accuracy, but for responsiveness to the people they affect. RDTMT's contribution is twofold. Theoretically, it gives marketing scholars a vocabulary for treating algorithmic systems as active participants in shaping consumer identity instead of neutral instruments executing firm strategy. Practically, the constructs translate into a diagnostic toolkit firms can use to audit how reflexive, adaptive, and legitimacy-responsive their marketing systems actually are. This is work we see as most valuable for consumers with limited digital literacy or bargaining power, who bear the highest cost when these systems misrepresent who they are. As a scoping review feeding theory construction, RDTMT's constructs still need empirical validation across industries and firm contexts. We treat that as the natural next stage of this research program rather than a limitation to be explained away.","url":"https://doi.org/10.21203/rs.3.rs-10403290/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10403290/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.archger.2026.106371","name":"Digital twins in geriatrics and gerontology: Applications, challenges, and future directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.archger.2026.106371","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.archger.2026.106371","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/jcm15114127","name":"Digital Twins in Orthopedics and Trauma: Concepts, Emerging Evidence, and Barriers to Clinical Translation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15114127","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcm15114127","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.jogoh.2026.103235","name":"Clinical applications of digital twin technology in In Vitro Fertilisation.","source":"europepmc","abstract":"BACKGROUND: Digital twin technology, originating from aerospace and manufacturing industries, has emerged as a transformative tool in healthcare. In vitro fertilisation (IVF) faces persistent challenges including suboptimal embryo selection, unpredictable treatment outcomes, and limited personalisation of protocols. Despite advances in assisted reproductive technology, existing literature exhibits fragmentation: artificial intelligence applications in embryo selection, ovarian stimulation, and endometrial assessment have been developed independently without systematic integration into comprehensive treatment frameworks. Digital twin technology offers unprecedented opportunities to create virtual replicas of biological systems, enabling real-time monitoring, predictive modelling, and personalised treatment strategies. AIM: This narrative review aims to critically examine the current applications of digital twin technology in IVF, evaluate its potential benefits and limitations, synthesize existing evidence into an integrative conceptual model, and identify future directions for implementation in reproductive medicine. METHOD: A comprehensive narrative review was conducted using PubMed, Scopus, Web of Science, and IEEE Xplore databases. A narrative review approach was selected over systematic review to accommodate the heterogeneity of evidence types in this emerging field, including theoretical frameworks, simulation studies, and proof-of-concept implementations that would be excluded from systematic reviews. Search terms included \"digital twin,\" \"IVF,\" \"in vitro fertilisation,\" \"assisted reproductive technology,\" \"embryo selection,\" and \"predictive modelling.\" Studies published between 2015 and 2025 were included, focusing on original research articles, systematic reviews, and proof-of-concept studies describing digital twin applications in reproductive medicine. RESULTS: Digital twin technology in IVF demonstrates significant potential across multiple domains including embryo development simulation, ovarian response prediction, endometrial receptivity modelling, and personalised stimulation protocols. Current applications integrate artificial intelligence, machine learning algorithms, time-lapse imaging, and omics data to create comprehensive virtual models. Early evidence suggests improvements in embryo selection accuracy, ovarian response prediction, and treatment protocol optimization, though large-scale randomized controlled trials remain limited. Implementation challenges include data integration complexity, computational requirements, regulatory considerations, and validation requirements. CONCLUSION: Digital twin technology represents a paradigm shift in IVF practice, offering personalised, predictive, and precision medicine approaches. This review synthesizes existing evidence to propose an integrative conceptual model for digital twin implementation across the IVF treatment spectrum, identifies critical knowledge gaps, and establishes research priorities to advance clinical translation. Despite current limitations, continued advancement promises improved success rates and patient outcomes.","url":"https://doi.org/10.1016/j.jogoh.2026.103235","authors":["David B. Olawade","Oluwadamilola Racheal Abe","Elizabeth Kelechi Nwazuo","Tolulope Apena","Olabanke Florence Olawuyi","Eghosasere Egbon"],"tags":["Medicine","In vitro fertilisation","Fertilisation","Twin Pregnancy","Obstetrics"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.jogoh.2026.103235","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/medsci14020330","name":"Narrative Review of Digital Twins in the Health Domain: Development, Application, and Evidence Consolidation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/medsci14020330","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/medsci14020330","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.scitotenv.2026.181953","name":"Intelligent sediment-groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment.","source":"europepmc","abstract":"Sediment–groundwater interfaces regulate the mobilisation, transport, and attenuation of metal contaminants within highly heterogeneous and multi-scale subsurface systems. However, efforts to operationalise digital twins in this domain remain fragmented across modelling paradigms, disciplines, and scales of observation and prediction. This study provides a performance-centred, quantitatively harmonised meta-analysis of sediment–groundwater digital twin (SG-DT) implementations, explicitly addressing scale dependence, spatial heterogeneity, and process-level controls. A PRISMA 2020–compliant systematic review and meta-analysis of 175 studies (1997–2026; 27 countries) was conducted. SG-DT applications were stratified across a continuum from pore and laboratory scales to site, reach, and basin domains. Scaling effects were analysed via stratified synthesis and meta-regression, while heterogeneity was operationalised through facies-based zonation, parameter variability, and multi-source observational constraints. Predictive performance was quantified using a redesigned, baseline-consistent effect size (E), enabling harmonisation across heterogeneous metrics and validation protocols. Uncertainty was estimated using random-effects models (REML) with Hartung–Knapp adjustments, and heterogeneity was assessed via τ 2 and I 2 with scale-aware interpretation. Results indicate a robust positive pooled performance gain for surrogate-enabled SG-DTs relative to non-updating baselines under scale-consistent validation, while highlighting limitations related to data dependence and extrapolation. In a subset of comparable studies, SG-DTs achieved a pooled out-of-sample R 2 of 0.67 (95% CI: 0.62–0.72). Meta-regression identifies continuous data assimilation and explicit uncertainty quantification as key drivers of performance, whereas residual heterogeneity reflects unresolved scale mismatches and inconsistent representation of subsurface complexity. SG-DTs are defined as systems coupling a process-informed hydro(geo)chemical core capturing reaction kinetics and flow–transport–geochemical coupling, streaming observations, and an updating operator within a closed-loop framework. As secondary outputs, we provide a scale-aware reference architecture embedded in a continuous verification–validation–uncertainty quantification loop and the SED-GW-DT-REPORT v1.0 standard for reproducible, FAIR-aligned reporting. These findings establish an auditable, scale-consistent evidence base for advancing reliable digital twin development in sediment–groundwater systems.","url":"https://doi.org/10.1016/j.scitotenv.2026.181953","authors":["Saeid Pourmorad","Michele Morsilli","Luigi Lombardo","Fulvio Celico","Luca Antonio Dimuccio"],"tags":["Computer science","Scale (ratio)","Data mining","Scaling","Residual"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.scitotenv.2026.181953","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3389/fmmed.2026.1840371","name":"Mapping the future of medicine through digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmmed.2026.1840371","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fmmed.2026.1840371","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-10525787/v1","name":"Digital Twin for Industrial Exhaust Heat Recovery System: Thermodynamic Sizing, Fault Detection and Techno-economic Validation in Bahrain","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10525787/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10525787/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1007/s10439-026-04185-8","name":"Real-Time Prediction of Lumbar Spine Stress and Displacement Using a Proof-of-Concept Digital Twin Biomechanical Model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10439-026-04185-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10439-026-04185-8","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/s00436-026-08674-6","name":"A unified digital twin framework for predicting therapeutic response to central nervous system infections by pathogenic free-living amoebae.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00436-026-08674-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00436-026-08674-6","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10224699/v2","name":"InSilico-K: a drug-agnostic digital twin showing that molecular weight, not molecular target, governs biologic delivery and its telmisartan-mediated rescue in non-small cell lung cancer","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10224699/v2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10224699/v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3389/fphar.2026.1789971","name":"AI-driven digital twins for bone tumors: personalizing immunoradiotherapy and drug-based radiosensitization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fphar.2026.1789971","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fphar.2026.1789971","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.12688/f1000research.186126.1","name":"Extending Lean from Capital Delivery to Operations in England's' Healthcare Estate Management","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/f1000research.186126.1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/f1000research.186126.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1016/j.xplc.2026.101871","name":"Digital twins for plant-microbe interactions: Gap finding and filling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.xplc.2026.101871","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.xplc.2026.101871","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1371/journal.pone.0351991","name":"Retraction: Digital twin-driven design and testing of laser shock processed aluminum-graphene composites for spacecraft docking tribology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0351991","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0351991","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-10224699/v1","name":"InSilico-K: a drug-agnostic digital twin showing that molecular weight, not molecular target, governs biologic delivery and its telmisartan-mediated rescue in non-small cell lung cancer","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10224699/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10224699/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1016/j.biotechadv.2026.108986","name":"Advancing process control toward intelligent continuous biopharmaceutical manufacturing: Challenges, strategies, and future directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.biotechadv.2026.108986","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.biotechadv.2026.108986","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1155/ijod/3347380","name":"Integration of Digital Twin Technology in Orthodontics: A Scoping Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1155/ijod/3347380","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1155/ijod/3347380","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.crfs.2026.101480","name":"A digital twin approach for optimizing okara-based Greek-style yogurt using hybrid Gompertz-LSTM modeling and data assimilation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.crfs.2026.101480","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.crfs.2026.101480","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/1467-9566.70217","name":"Future-Making From Afar: Digital Twins in Medicine.","source":"europepmc","abstract":"Digital twins in medicine are packaged as inevitable, disruptive technologies that will revolutionise healthcare, yet their integration into clinical practice remains slow. In this article, we extend current research on digital twins by shifting attention to the actors behind the technology and their visions. Drawing on multi-sited fieldwork, we identify from where and how the In Silico medicine community envisions the future of medicine and trace embedded ideas and logics. Our analysis reveals a friction between the narrowing of visions of medicine, the human body and clinicians and the technical features of digital twins, which are intended to open futures and possibilities through virtual interventions. We show how digital twins are developed at a distance from the very practices they seek to revolutionise and how the field attempts to navigate this distance through conversion and training. As with other digital health technologies, the burden of adjustment is placed on clinicians. By attending to how distance between modellers and clinical settings plays out in practice, we show how this \"future-making from afar\" constrains but also enables specific modes of engagement. It offers a starting point for demystifying digital twins in medicine and reflects on the kinds of futures the field promotes.","url":"https://doi.org/10.1111/1467-9566.70217","authors":["Elisa Elhadj","Maiju Tanninen","Ine Van Hoyweghen"],"tags":["Futures contract","Vision","Digital health","Field (mathematics)","Point (geometry)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1111/1467-9566.70217","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1371/journal.pone.0350247","name":"GEC-DTSP: A GNN-RL-based Edge-Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350247","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0350247","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.4103/mgr.medgasres-d-25-00234","name":"Hyperbaric oxygen in the artificial intelligence era: integration and innovation.","source":"europepmc","abstract":"","url":"https://doi.org/10.4103/mgr.medgasres-d-25-00234","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.4103/mgr.medgasres-d-25-00234","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1126/sciadv.aee8506","name":"Smart contact lens-trained digital twin for device-free personalized uric acid prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.aee8506","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1126/sciadv.aee8506","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202606.1543.v1","name":"Integrating Earth Observation Data into Landslide Dam Digital Twins for Enhanced Hazard Monitoring","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.1543.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1543.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5213/inj.2652040.020","name":"Bladder Digital Twins for Neuromodulation: Current Platforms and a Roadmap to Closed-Loop Therapy.","source":"europepmc","abstract":"","url":"https://doi.org/10.5213/inj.2652040.020","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5213/inj.2652040.020","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202605.1747.v1","name":"Development of a Digital Twin to Analyse Waiting Lists in a Sleep-Disordered Breathing Unit","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.1747.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.1747.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26123731","name":"A Physics-Based Digital Twin for Trail Running Race Performance Prediction: A Proof-of-Concept Study.","source":"europepmc","abstract":"Trail running imposes highly variable biomechanical demands due to steep, irregular terrain that renders flat-road pacing models inadequate. We present a physics-based digital twin that integrates a terrain-adaptive grade-adjusted pace (GAP) model with individualised physiological calibration to predict finish time across heterogeneous trail-running races. The GAP core applies Minetti’s fifth-degree metabolic cost polynomial to map slope-dependent energy cost across the full range of uphill and downhill gradients encountered in trail racing. Segment-by-segment pace is further modulated by an altitude–VO2max correction, a Banister TRIMP-based fatigue term, and a progressive pacing-decay factor. Course-elevation profiles are extracted from 1 Hz barometric altimeter data through a five-step normalisation pipeline. Individual parameters (sustainable VT2 fraction α; pacing-decay slope μ) were calibrated by grid search against 13 race sessions. A sequential validation across four model-complexity stages showed R2 increasing from 0.763 to 0.905. Leave-one-out cross-validation (n = 13) yielded R2 = 0.864, MAE = 18.2 min, MAPE = 11.1%, and a small positive bias (+2.0 min). The framework demonstrates that integrating biomechanical terrain correction with individual physiological calibration substantially improves race-time prediction for trail running, offering a promising foundation for athlete-specific pre-race simulation.","url":"https://doi.org/10.3390/s26123731","authors":["Diego Jaén-Carrillo","Daniel Pattis"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123731","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1073/pnas.2612370123","name":"Anatomy-resolved digital twin framework for personalized light dosimetry in lung therapies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1073/pnas.2612370123","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1073/pnas.2612370123","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1002/bcp.70593","name":"Time to accelerate rare disease research: AI-powered in silico trials, digital twin-driven RCTs and decision-grade real-world evidence.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/bcp.70593","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/bcp.70593","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.jenvman.2026.130454","name":"AI-enabled sustainable talent management for workforce stability: A systematic review on human capital, skill and retention in the era of twin transition.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2026.130454","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.jenvman.2026.130454","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.ijpx.2026.100526","name":"A decade of innovation in healthcare: Automation, bio-printing and digital twin technologies for personalized therapies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpx.2026.100526","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijpx.2026.100526","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.phro.2026.101024","name":"Translational barriers to digital twins in radiation oncology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.phro.2026.101024","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.phro.2026.101024","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41432-026-01204-4","name":"Exploring the scope and applications of digital twin technologies in dentistry: a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41432-026-01204-4","authors":["Isha Duggal","Tulika Tripathi","Vandana Gupta"],"tags":["Scope (computer science)","Personalization","Systematic review","MEDLINE","Data science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41432-026-01204-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1609/aaai.v40i48.42260","name":"iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract).","source":"europepmc","abstract":"","url":"https://doi.org/10.1609/aaai.v40i48.42260","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1609/aaai.v40i48.42260","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1136/bmjoq-2025-003422","name":"Optimising ICU supply chains: Evidence-based strategies for efficiency, resilience and patient safety-a structured narrative review.","source":"europepmc","abstract":"Inventory management in intensive care units (ICUs) plays a critical role in ensuring uninterrupted patient care, yet it remains an underprioritised component of healthcare operations. This narrative review explores current challenges and evidence-based strategies for optimising ICU supply chains. Issues such as unpredictable demand, manual stock tracking, procurement inefficiencies and limited staff training often contribute to stockouts, expired supplies and delayed interventions. The COVID-19 pandemic further exposed systemic vulnerabilities, emphasising the need for resilient, technology-driven supply systems. A comprehensive literature search (2004-2025) was conducted across PubMed, Scopus, Web of Science and Google Scholar using keywords related to ICU inventory, artificial intelligence (AI) forecasting, radio frequency identification (RFID), procurement and digital health logistics. Findings were synthesised into thematic categories addressing core problems and interventions. Key strategies include implementing automated tracking systems, adopting AI-driven demand forecasting, standardising procurement policies, training ICU staff in inventory best practices and establishing emergency buffer stock. Emerging technologies such as digital twins and blockchain are highlighted for their potential to enhance transparency, responsiveness and planning accuracy. Additionally, fostering multisourcing supplier partnerships and optimising ICU storage space can further enhance system agility and reduce waste. In conclusion, ICU supply chains must evolve from reactive, manual systems to proactive, data-driven frameworks. Hospitals should invest in digital infrastructure, staff training and ethical procurement models to build resilient, cost-effective and patient-centred supply chains.","url":"https://doi.org/10.1136/bmjoq-2025-003422","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1136/bmjoq-2025-003422","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.21203/rs.3.rs-9835808/v1","name":"Integrated THM–SSI Modeling Frameworks for Induced Seismicity Risk in Enhanced Geothermal Systems: A Critical Review","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9835808/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9835808/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1021/acsomega.5c11417","name":"Integrating Molecular Pathogenesis and Host Response into a Digital Twin Framework for Predicting Therapeutic Outcomes in &lt;i&gt;Balamuthia mandrillaris&lt;/i&gt; Encephalitis.","source":"europepmc","abstract":"High Resolution Image Download MS PowerPoint Slide Balamuthia mandrillaris is a free-living amoeba that causes granulomatous amoebic encephalitis, a rare but devastating central nervous system infection with mortality exceeding 95%. Treatment relies on empirical, multidrug regimens lasting several months, yet prognostic indicators and optimal dosing strategies remain undefined. Advances in computational biology now permit the creation of digital twins, data-driven and patient-specific virtual replicas that integrate clinical, imaging, molecular, and pharmacological data to simulate disease dynamics and therapeutic response. By incorporating molecular mechanisms of Balamuthia pathogenesis and host susceptibility into such a model, it becomes possible to forecast treatment trajectories, personalize drug dosing, and predict toxicity in real time. This paper outlines the molecular and immunological underpinnings of Balamuthia infection and proposes a digital twin framework that bridges mechanistic biology with predictive analytics to improve management and survival in this neglected infection.","url":"https://doi.org/10.1021/acsomega.5c11417","authors":["Ruqaiyyah Siddiqui","Sutherland K. Maciver","Naveed Ahmed Khan"],"tags":["Disease","Computational biology","Medicine","Pathogenesis","Bioinformatics"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acsomega.5c11417","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.artmed.2026.103474","name":"Mapping the landscape of AI-driven digital twins in medical diagnosis: A scoping review on core technologies, applications, and implementation barriers.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.artmed.2026.103474","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.artmed.2026.103474","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/frobt.2026.1770121","name":"When AI takes the wheel: AI-defined vehicles principles and pitfalls.","source":"europepmc","abstract":"As introduced by Asimov in \"I, Robot\", intelligent machines are characterized as systems capable of performing tasks that traditionally require human intelligence, such as autonomous decision-making and driving. In this context, modern road vehicles can increasingly be understood as robotic systems endowed with progressively sophisticated functionalities, operational flexibility, and, crucially, the capacity to learn and evolve autonomously over time. Building on this perspective, AI-defined vehicles (AIDVs) are emerging in both the automotive industry and the research community as a next stage in vehicle evolution, where interaction capabilities, adaptability, sustainability, and ethical governance are embedded as core design principles rather than treated as auxiliary features. This work aims to introduce this new class of vehicles and provide an analysis of their defining principles, capabilities, and challenges. This article contributes a first conceptualization of AIDVs, outlines their defining principles, and distinguishes them from existing vehicle classes. Then, it identifies the risks introduced by adaptive AI and proposes a preliminary roadmap for their integration into Intelligent Transportation Systems (ITS).","url":"https://doi.org/10.3389/frobt.2026.1770121","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1770121","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.2196/83059","name":"Digital Twin Applications in Diabetes Management: Scoping Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/83059","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/83059","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.2147/ijn.s618407","name":"Nanomedicine in 2026: Illustrative Quantitative Analyses of EPR Heterogeneity, Clinical Trial Attrition, and Emerging Horizons for Active Nanotherapeutics.","source":"europepmc","abstract":"2026 is a turning point for nanomedicine, marking the field's transition from decades of preclinical promise toward tangible clinical impact. This narrative review provides a forward-oriented synthesis of the most significant clinical breakthroughs achieved during 2025-2026, critically examines persistent barriers to clinical translation, and projects future horizons for the coming decade. To support the discussion, the review includes illustrative quantitative analyses drawn from selected published data: a comparison of EPR effect heterogeneity across human and murine tumors (23 studies, 412 patients), a funnel of nanomedicine clinical trials extracted from ClinicalTrials.gov (847 trials, 2010-2020), a comparative overview of regulatory guidance from four major agencies, and a simplified life-cycle assessment of three nanomedicine classes. These analyses are intended to highlight trends, not to replace a formal systematic review. We identify four important clinical advances: first Phase II data for hafnium oxide nanoparticle radioenhancers in inoperable lung cancer; logic-gated STING-agonistic nanoparticles for metastasis-specific immunotherapy; ultrasmall silica nanoparticles that remodel suppressive tumor microenvironments independent of a drug cargo; and CNM-Au8 gold nanocrystals advancing toward regulatory submission for amyotrophic lateral sclerosis. Collectively, these developments illustrate a major change in thinking: nanoparticle formulations no longer serve merely as delivery vehicles but increasingly function as active therapeutic agents that engage biological pathways, respond to disease-associated stimuli, and generate therapeutic effects independently of any drug cargo. This shift from passive delivery to active nanotherapeutics fundamentally changes how the field should evaluate and develop nanomedicines. Nevertheless, the number of nanomedicines that have achieved global clinical approval remains very low, estimated at only 50-80 products by 2025, underscoring a persistent translational gap. We analyze principal obstacles to clinical success, including the limited predictive validity of the enhanced permeability and retention (EPR) effect in humans, batch-to-batch manufacturing variability, safety concerns arising from bio-corona formation and organ accumulation, and the absence of harmonized regulatory frameworks. Looking forward, we identify emerging horizons: AI-driven digital twins for predictive manufacturing, carrier-free self-assembled nanomedicines from natural small molecules, nanotheranostic platforms that integrate therapy with real-time imaging, and sustainable nanomedicine designs incorporating environmental impact assessments. By bridging clinical reality with future potential, this review aims to inform researchers, clinicians, and regulatory stakeholders navigating the rapidly evolving landscape of nanomedicine.","url":"https://doi.org/10.2147/ijn.s618407","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2147/ijn.s618407","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fnagi.2026.1774177","name":"Toward future diagnostics of Parkinson's disease: a perspective on multimodal motor assessment and personalized digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnagi.2026.1774177","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fnagi.2026.1774177","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1007/s43390-026-01397-9","name":"Digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s43390-026-01397-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s43390-026-01397-9","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41598-026-42041-w","name":"A zero-trust digital twin framework for privacy-preserving multi-dataset intrusion detection in industrial IoT with lightweight blockchain auditing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42041-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-42041-w","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41746-026-02476-x","name":"Advancing FDA New Approach Methodologies from animal models through digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-026-02476-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-026-02476-x","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26113459","name":"A Real-Time Digital Twin Synchronization Framework for Multi-Sensor Cardiopulmonary Resuscitation Measurement.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113459","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113459","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-31930-1","name":"Enhancing traffic safety analysis with digital twin technology: integrating vehicle dynamics and environmental factors into microscopic traffic simulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31930-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-31930-1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fmicb.2026.1739103","name":"Gi-MAPS: a quantitative engineering framework for AI-guided pediatric gut microbiome ecological interpretation and digital-twin simulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmicb.2026.1739103","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fmicb.2026.1739103","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1111/jocd.70576","name":"Digital Twin Pathology of Skin Cancer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/jocd.70576","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1111/jocd.70576","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1007/s10151-025-03221-4","name":"Copy-paste surgery: Altemeier procedure in identical twins with rectal prolapse.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10151-025-03221-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10151-025-03221-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/frobt.2026.1774317","name":"Design of a mixed reality-based digital twin human-machine interaction system for special working conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1774317","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1774317","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s10916-026-02447-5","name":"Temporal Variability in Diagnosis Code Distributions Across Extraction Time Points in a Multicenter Integrated EHR Database: A Snapshot Comparison Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10916-026-02447-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10916-026-02447-5","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/brainsci16040411","name":"BrainTwin-AI: A Multimodal MRI-EEG-Based Cognitive Digital Twin for Real-Time Brain Health Intelligence.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/brainsci16040411","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/brainsci16040411","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.ijmedinf.2026.106359","name":"Digital twin applications in healthcare for people living with disability.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijmedinf.2026.106359","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijmedinf.2026.106359","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.63144/ijt.2025.6729","name":"Editor - Human Digital Twin in Ukraine: Converging Digital Health and Digital Education for Next-Generation Telerehabilitation.","source":"europepmc","abstract":"Ukraine’s current rehabilitation and healthcare challenges have catalyzed a national push toward scalable, AI-enabled digital health solutions. This Letter reports on a joint initiative of I.Ya. Horbachevsky Ternopil National Medical University, and the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine to operationalize the human digital twin (HDT) concept within a tele-diagnostic (TD) &amp; artificial intelligence (AI) platform for telerehabilitation and digital education. The Letter delineates how HDTs, understood as continuously updated virtual representations of individual patients, are coupled with AI agents to support remote patient monitoring, decision-support, and personalized rehabilitation trajectories. Beyond clinical care, these HDTs function as virtual patients for simulation-based training and in-silico experimentation, enabling students, residents, and multidisciplinary teams to rehearse diagnostic and therapeutic strategies without risk to real patients. By integrating sensor-derived data, AI-driven expert systems, and web-based learning environments, the TD+AI platform exemplifies how resource-constrained settings can effectively employ HDT technologies to converge digital health and digital education. The Letter concludes by highlighting opportunities for international collaboration to co-develop, validate, and scale such HDT-centered telerehabilitation ecosystems.","url":"https://doi.org/10.63144/ijt.2025.6729","authors":["Kyrylo S. Malakhov","Dmytro V. Vakulenko"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.63144/ijt.2025.6729","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/ma19153261","name":"Multiscale Numerical Modelling and Structural Design of Bulk Heterojunction Nanocomposites for Organic Photovoltaics: From Molecular Interfaces to Device Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19153261","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19153261","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1186/s13195-026-02024-5","name":"A digital twin methodology using retrospective patient data for sample size reduction in Alzheimer's disease clinical trials.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13195-026-02024-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s13195-026-02024-5","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/frai.2026.1715883","name":"Digital twin simulations of theory-driven crisis messaging during hurricane evacuations in synthetic populations: a Miami-Dade County case study.","source":"europepmc","abstract":"Background Digital twin and agentic artificial intelligence technology provide innovative systems for testing behavioral science theory, which can improve emergency communication in crisis situations. More advanced and effective evidence-based messaging is needed for better safety preparation for extreme weather and more trusted evacuation communication. Methods This study developed a digital twin of Miami-Dade County populated with a synthetic population embedded with behavioral theory (Extended Parallel Process Model, Theory of Planned Behavior) and the development of a Message Assessment Framework (MAF) to systematically test theory-based crisis messages. Agents were exposed to fear-only, efficacy-only, norm-only, combined fear+efficacy, combined fear+efficacy+norm, and a neutral control message. Results Messages grounded in behavioral theory were more effective than the control message at encouraging evacuation. Messages that combined fear and efficacy provided the best results in the synthetic population's decision to evacuate (OR = 15.45, p Discussion This research demonstrates a proof-of-concept approach for using agentic AI and digital twins to pre-test communication strategies, offering a scalable method for optimizing emergency messaging prior to real-world implementation.","url":"https://doi.org/10.3389/frai.2026.1715883","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1715883","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1002/psp4.70229","name":"What Is a Digital Twin in QSP, and Are We Doing It Right?","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/psp4.70229","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/psp4.70229","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.3389/frobt.2026.1772854","name":"Human-centered digital twins in hospitality: how employee perceptions and system design shape adoption.","source":"europepmc","abstract":"Introduction: The digital transformation of hospitality is increasingly driven by technologies that integrate human and operational elements of service work. Within this evolution, human-centered Digital Twins leverage both human-related and operational data to digitally represent employees within their work contexts, enabling real-time feedback and data-informed decision making for both employees and organizations. Despite their potential, little is known about how hospitality employees perceive these systems or what shapes their willingness to use them. Methods: This study examines the individual perceptual factors that influence employees' intention to use a human-centered Digital Twin, focusing on performance expectancy, effort expectancy, and trust in the system. In addition, the study explores the role of gamification as a system design feature that may shape how these perceptions translate into adoption intentions. Data were collected from 141 customer-facing hotel employees across Europe using a structured survey based on validated scales. An Exploratory Factor Analysis confirmed the reliability and structural validity of the measurement model, and multiple linear regression analysis was used to test both the baseline and the extended models. Results: Results show that all three perceptual factors significantly and positively influence intention to use, with performance expectancy emerging as the strongest predictor. Gamification moderates the relationship between effort expectancy and intention to use in a non-reinforcing manner: when gamification is higher, the positive effect of effort expectancy becomes weaker. Discussion: These findings suggest that interaction design can alter how employees experience the ease of using advanced digital systems. This study provides empirical evidence on the perceptual determinants that influence front-line employees' intention to use a human-centered Digital Twin in hospitality settings, highlighting the role of both core adoption beliefs and system design features in shaping adoption intentions.","url":"https://doi.org/10.3389/frobt.2026.1772854","authors":["Desiree Manzano-Farray","Moises Segura-Cedres","Lidia Aguiar-Castillo","María Jesús Jerez-Jerez","Rafael Perez-Jimenez"],"tags":["Expectancy theory","Perception","Hospitality","Leverage (statistics)","Knowledge management"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1772854","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/fsn3.71953","name":"AI-Enabled Next-Generation Dairy Systems: From Sensors to Smart Processing.","source":"europepmc","abstract":"The rapid integration of artificial intelligence (AI) into dairy systems has been widely promoted under the Dairy 4.0 paradigm, yet its role as a true system-level \"game changer\" remains insufficiently substantiated. This study presents a structured critical review of AI-enabled technologies across the dairy value chain, encompassing precision livestock farming, in-line milk quality sensing, smart processing, and advanced ingredient development. A transparent literature search and selection strategy was applied to identify and evaluate relevant studies, with emphasis on reported performance metrics, validation conditions, and real-world applicability. The analysis reveals that while AI demonstrates strong technical capability, particularly in milk quality prediction, sensor-based monitoring, and process optimization, most evidence is derived from controlled laboratory settings, with limited validation under heterogeneous farm and industrial conditions. Key limitations include challenges in model generalizability, data integration, calibration stability, and interoperability with existing infrastructure. Moreover, economic feasibility, scalability across production systems, and governance issues related to data ownership and accountability remain insufficiently addressed. Across the reviewed domains, the impact of AI is found to be conditional rather than inherently transformative. Technologies deliver measurable benefits primarily when embedded within sensor-rich, interoperable systems that directly inform operational decision-making. In contrast, standalone AI applications often function as analytical tools without inducing system-level change. The review further highlights discrepancies between technological potential and demonstrated outcomes, particularly in sustainability performance and industrial-scale implementation. Overall, AI should be conceptualized not as an autonomous disruptive force but as a system-level enabler, whose effectiveness depends on complementary advances in sensing, infrastructure, data governance, and workforce capability. Future research should prioritize field validation, economic assessment, and integration frameworks to bridge the gap between experimental performance and practical deployment, thereby enabling more realistic evaluation of AI's transformative potential in dairy systems.","url":"https://doi.org/10.1002/fsn3.71953","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/fsn3.71953","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8511797/v1","name":"Redefining the Patient in the Digital Twin Age: A Scoping and Conceptual Model for Flexible, Ethical, and Inclusive Healthcare Systems  ","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8511797/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8511797/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/vetsci13050434","name":"Spatial Assessment of Livestock Heat Stress in Thessaly Region of Greece Using ERA5-Land Reanalysis and Temperature-Humidity Index.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/vetsci13050434","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/vetsci13050434","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/s25247690","name":"Digital Twin-Based Virtual Sensor Data Prediction and Visualization Techniques for Smart Swine Barns.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247690","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25247690","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.apradiso.2026.112746","name":"Advances in computational anthropomorphic phantoms and Monte Carlo-based dosimetry: A review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.apradiso.2026.112746","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.apradiso.2026.112746","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fpubh.2026.1822194","name":"Digital twin for Taekwondo athletes: integrating sports nutrition and psychological readiness using artificial intelligence.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1822194","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1822194","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.ijmedinf.2026.106404","name":"Digital twin technologies for supporting self-care in adults with diet-related chronic conditions: a systematic review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijmedinf.2026.106404","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijmedinf.2026.106404","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1073/pnas.2532645122","name":"Digital twins come to the life sciences.","source":"europepmc","abstract":"The railway bridge along a busy London to Scotland route near the English village of Norton Bridge might look like nothing special.But buried within the concrete and steel structure are fiber-optic cables that track movement with enough precision to weigh passing trains.The data feed a digital copy of the bridge stored on the computers of researchers at the University of Cambridge and the Turing Institute in London ( 1 ).In real time, the virtual bridge incorporates the wear and strain placed on the physical structure-invaluable information to monitor its performance, plan maintenance, and potential safety issues.The virtual bridge is an example of the growing applications of digital twins, which are adjustable computer models of specific physical objects from the real world.Digital twins have long been used to analyze everything from cities to power plants to cars.Every vehicle sold by Tesla has a digital twin, which collects and analyzes data to determine whether the vehicle is working as intended or if it needs maintenance.As sensor and imaging technologies improve, along with ways to collect, transfer, and analyze vast quantities of data, the use of digital twins is expanding to the biosciences, from the medical field to the cornfield.\"They've been predominantly used in the physical sciences,\" says Michael Waight, a cardiology research fellow at St George's University of London.\"But now we're appreciating what their potential uses could be for healthcare and medical science.\"Just as engineers can check on the condition of a bridge or car, medics and researchers aim to track the health of the heart and other organs to help predict Medics and researchers are using digital twins to track the health of the heart and other organs in hopes of predicting outcomes and guiding treatments.Image credits: Shutterstock/peakanucha (left heart) and VSEVO-LOD ZVIRYK/Science Source (right heart).","url":"https://doi.org/10.1073/pnas.2532645122","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1073/pnas.2532645122","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s26165169","name":"Navigation and Sensor Fusion for Autonomous Field Robots in Precision Agriculture: Narrative Review.","source":"europepmc","abstract":"Autonomous field robots are increasingly used in precision agriculture for monitoring, phenotyping, spraying, and site-specific intervention, yet reliable autonomy remains difficult under vegetation occlusion, uneven terrain, variable illumination, and intermittent communications. This review provides a deployment-oriented synthesis of navigation and sensor-fusion methods for agricultural robots, with emphasis on what is practical under field conditions rather than only in laboratory settings. The literature was examined through a structured narrative-review workflow using Scopus, Web of Science, IEEE Xplore, ScienceDirect, SpringerLink, and related citation tracking, with primary emphasis on studies published between 2015 and 2025. We compare global, local, and hybrid planning methods; motion-control strategies such as PID, Pure Pursuit, and MPC; and localization pipelines that combine GNSS, IMU, LiDAR, cameras, odometry, and SLAM or Kalman-family fusion. Beyond algorithm summaries, the review links method selection to agricultural deployment constraints, including GNSS degradation, dynamic obstacles, compute limits, ROS 2 integration, time synchronization, and coordinate-frame management. The synthesis shows that no single stack is optimal across all crop systems: lightweight GNSS/IMU-based solutions remain attractive in structured open fields, whereas orchards, vineyards, and other occluded environments benefit more from tighter multi-sensor fusion and SLAM-supported localization. Finally, the review distills design guidance for sensing, planning, validation, and digital-twin-supported testing, and identifies research gaps related to robustness, benchmarking, safety, and scalable on-farm deployment.","url":"https://doi.org/10.3390/s26165169","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26165169","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fdgth.2025.1741466","name":"Editorial: Implementing digital twins in healthcare: pathways to person-centric solutions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2025.1741466","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdgth.2025.1741466","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1007/s00158-026-04304-y","name":"Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00158-026-04304-y","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00158-026-04304-y","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/psp4.70234","name":"The Potential of Digital Twins for Pediatric Rare Diseases.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/psp4.70234","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/psp4.70234","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41746-025-02115-x","name":"The role of digital twins in P4 medicine: A paradigm for modern healthcare.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-025-02115-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41746-025-02115-x","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fpls.2026.1842337","name":"High-throughput phenotyping for climate-resilient forests: integrating multi-sensor fusion and root-shoot dynamics.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1842337","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1842337","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8046522/v1","name":"Sustainability Driven Adoption of Digital Twin Technology in the Malaysian Construction Industry","source":"europepmc","abstract":"Abstract The Malaysian construction industry is facing increasing pressure to embrace digital technologies that enhance efficiency and sustainability. Innovative tools have transformed the industry across various aspects in this era of cutting-edge technology; Digital Twin (DT) technology has emerged as a transformative solution, enabling real-time monitoring, predictive analytics, and sustainable resource management. Despite its potential, DT adoption in construction remains limited, particularly in developing economies. A structure survey was conducted, and 132 industrial professionals were included after screening the data. The study highlights the influencing factors for Digital Twin (DT) adoption in the Malaysian construction industry and its contribution to sustainability outcomes. To address a gap in developing-economy contexts, the data were analysed using Machine Learning models. The findings reveal that enablers (β = 0.369, p &lt; 0.001), adoption intention (β = 0.377, p &lt; 0.001), and sustainability constructs (β = 0.531, p &lt; 0.03) significantly drove DT adoption, while barriers (β = -0.135, p &lt; 0.042) hurt adoption intention and sustainability outcome. Moreover, DT has positive effects on economic (β = 0.367, p &lt; 0.01), environmental (β = 0.295, p &lt; 0.05), and social (β = 0.282, p &lt; 0.05) sustainability dimensions. The results highlight the central role of the relative advantages of technology, organizational leadership, and preparedness in enabling Digital Twin (DT) adoption. On the other hand factors such as lack of standards and cost concerns are major factors ranked as major barriers to DT adoption. The study provides practical insights for policymakers and firms to uplift DT-driven sustainability in construction and also contributes to advancing the Sustainable Development Goals SDGs 9,11, and 12 of the United Nations.","url":"https://doi.org/10.21203/rs.3.rs-8046522/v1","authors":["Muhammad Ahsan Soomro","Abdullateef Olanrewaju","Shalini Sanmargaraja"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8046522/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.3389/fphar.2026.1717309","name":"A digital twin approach for transforming prescription drug labeling.","source":"europepmc","abstract":"Drug development entails extensive data collection by sponsors throughout research and development, followed by regulatory review, culminating in essential yet static prescription drug labeling. As study results are typically presented as isolated summaries, the label can underrepresent the drug's integrated effects across biological systems. We propose that sponsors submit a Digital Twin-based companion app alongside traditional documentation to enable a more comprehensive understanding of the investigational drug for review and, after approval, to support personalized prescribing in clinical practice. The development and implementation of the companion app would proceed by aligning with emerging regulatory guidance and by leveraging robust, scalable technical architecture.","url":"https://doi.org/10.3389/fphar.2026.1717309","authors":["Holly Kimko","Edwin Kimko","Sai Phanindra Venkatapurapu"],"tags":["Drug development","Documentation","Medicine","Computer science","Medical prescription"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fphar.2026.1717309","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/brainsci16060656","name":"When Robots Learn: Artificial Intelligence and the Next Human-Centered Era of Neurorehabilitation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/brainsci16060656","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/brainsci16060656","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.64898/2025.12.03.25339981","name":"Provenance-Aware Explainable Digital Twin for Personalized Health Management","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2025.12.03.25339981","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.03.25339981","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.3389/frai.2025.1655470","name":"Generative and Predictive AI for digital twin systems in manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2025.1655470","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frai.2025.1655470","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.20944/preprints202607.0891.v1","name":"Modeling Sustainable Market Volatility and Sectoral Decoupling Through FinBERT-Based Narrative Analysis","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.0891.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.0891.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fpls.2026.1716046","name":"A digital twin-driven deep learning framework for online quality inspection in tobacco transplanting.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1716046","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1716046","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-025-28049-8","name":"Design and validation of a flexible framework for developing generic digital twins for Industry 4.0.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28049-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-28049-8","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fpsyg.2026.1781471","name":"Catalyzing collaboration through intentional design: the Teaming for Biomedical Digital Twin (Teaming4BDT) conference.","source":"europepmc","abstract":"Scientific conferences traditionally focus on knowledge dissemination through presentations, panel discussions, and poster sessions, with limited emphasis on active collaboration formation. We describe an ambitious conference design model that intentionally integrated team science principles to spark collaborative conference outcomes. The 2024 IMAG/MSM Teaming for Biomedical Digital Twin (Teaming4BDT) Meeting, was a three-day hybrid conference with over 200 participants that integrated didactics, presentations, and working group sessions focused on the opportunities and challenges of biomedical digital twins (NASEM definition and model) with structured team formation activities. Through dual perspectives—conference design and participant experience—we examine how deliberate design elements facilitated the formation of over 10 interdisciplinary teams and detail the journey of one team from formation through sustained collaboration.","url":"https://doi.org/10.3389/fpsyg.2026.1781471","authors":["L. Michelle Bennett","Zhen Xiao"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpsyg.2026.1781471","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2196/91873","name":"Combining Subjective Perceptions and Objective Behavioral Metrics With the Elderly Digital Twin System: Quantitative Usability Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/91873","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/91873","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s25247476","name":"A Data Rate Monitoring Approach for Cyberattack Detection in Digital Twin Communication.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247476","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25247476","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-32691-7","name":"Data-driven vehicle stability control via co-simulation of digital twin and constrained MPC.","source":"europepmc","abstract":"With the rapid advancement of intelligent connected vehicles and autonomous driving technologies, vehicle lateral stability under high-speed or emergency steering conditions has become a critical safety concern. Traditional control strategies often exhibit limited performance in complex driving scenarios. This study proposes a novel co-simulation framework integrating digital twin technology with constrained Model Predictive Control (MPC) to enhance lateral stability and torque distribution. A high-fidelity digital twin model was constructed to improve real-time accuracy, while an MPC-based controller was designed to optimize handling under extreme conditions. Experimental results demonstrated improved performance: lateral stability error was reduced by 62.5%, and yaw rate error by 57.1%, compared to traditional methods. The key novelty lies in the dynamic, data-driven integration of the digital twin for real-time MPC optimization. These findings provide a robust theoretical foundation and technical support for intelligent vehicle development.","url":"https://doi.org/10.1038/s41598-025-32691-7","authors":["Mu Lin","Zhengwei Zhang","Min Huang","Yu Ding"],"tags":["Computer science","Model predictive control","Stability (learning theory)","Control theory (sociology)","Electronic stability control"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-32691-7","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1097/js9.0000000000004617","name":"Towards digital twin-enabled perioperative care: extending the potential of multimodal deep learning for cardiovascular risk stratification.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/js9.0000000000004617","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1097/js9.0000000000004617","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.critrevonc.2026.105171","name":"Digital twins in oncology: From predictive modelling to personalised treatment strategies.","source":"europepmc","abstract":"The digital twin (DT) concept, originating from engineering disciplines, has emerged as a transformative technology in healthcare, particularly in oncology. A digital twin creates a dynamic, virtual replica of a patient's physiological and pathological state, integrating multi-dimensional data to enable personalised cancer care. Despite growing interest, comprehensive reviews examining the breadth of DT applications in oncology remain limited. This narrative review aims to synthesise current evidence on digital twin applications in oncology, evaluate their potential to transform cancer care delivery, and identify challenges hindering clinical translation. A comprehensive literature search was conducted across PubMed, Scopus, Web of Science, and IEEE Xplore databases from inception to September 2025. Studies describing DT development, validation, or application in any cancer type were included. Grey literature, conference proceedings, and expert commentaries were also reviewed to capture emerging trends. Digital twins demonstrate applications across the cancer care continuum, including precision treatment selection, radiotherapy optimisation, drug development, immuno-oncology modelling, surgical planning, and survivorship care. Integration of multi-omics data, imaging biomarkers, and artificial intelligence enables dynamic simulation of tumour behaviour and treatment response. However, challenges persist in data integration, model validation, computational scalability, and ethical governance. Digital twin technology holds substantial promise for advancing precision oncology through predictive, personalised, and adaptive care strategies. Addressing current limitations through interdisciplinary collaboration and regulatory framework development is essential for clinical implementation. • Digital twins create dynamic virtual replicas of patients for personalised care • Applications span treatment selection, radiotherapy, drug development and surgery • Multi-omics data integration enables tumour behaviour and response simulation • Challenges include data integration, model validation, and scalability issues • AI enhances predictive capabilities through imaging and mathematical modelling","url":"https://doi.org/10.1016/j.critrevonc.2026.105171","authors":["David B. Olawade","Emmanuel O. Oisakede","Oluwakemi Jumoke Bello","Claret Chinenyenwa Analikwu","Eghosasere Egbon","Adeyinka Ojo"],"tags":["Data science","Transformative learning","Narrative review","Computer science","Precision medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.critrevonc.2026.105171","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s25247510","name":"Edge Temporal Digital Twin Network for Sensor-Driven Fault Detection in Nuclear Power Systems.","source":"europepmc","abstract":"The safe and efficient operation of nuclear power systems largely relies on sensor networks that continuously collect and transmit monitoring data. However, due to the high sensitivity of the nuclear power field and strict privacy restrictions, data among different nuclear entities are typically not directly shareable, which poses challenges to constructing a global digital twin with strong generalization capability. Moreover, most existing digital twin approaches tend to treat sensor data as static, overlooking critical temporal patterns that could enhance fault prediction performance. To address these issues, this paper proposes an Edge Temporal Digital Twin Network (ETDTN) for cloud-edge collaborative, sensor-driven fault detection in nuclear power systems. ETDTN introduces a continuous variable temporal representation to fully exploit temporal information from sensors, incorporates a global representation module to alleviate the non-IID characteristics among different subsystems, and integrates a temporal attention mechanism based on graph neural networks in the latent space to strengthen temporal feature learning. Extensive experiments on real nuclear power datasets from 17 independent units demonstrate that ETDTN achieves significantly better fault detection performance than existing methods under non-sharing data scenarios, obtaining the best results in both accuracy and F1 score. The findings indicate that ETDTN not only effectively preserves data privacy through federated parameter aggregation but also captures latent temporal patterns, providing a powerful tool for sensor-driven fault detection and predictive maintenance in nuclear power systems.","url":"https://doi.org/10.3390/s25247510","authors":["Shiqiao Liu","Gang Ye","Xinwen Zhao"],"tags":["Computer science","Nuclear power","Exploit","Fault detection and isolation","Real-time computing"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25247510","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1002/advs.77293","name":"A Dispersant-Driven Carbon-Binder Domains Homogeneity in High-Energy-Density Electrodes for Lithium-Ion Batteries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.77293","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/advs.77293","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.34133/csbj.0013","name":"The Potential of Digital Twins in Stroke Care: A Systematic Review of Current Applications and Future Perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.34133/csbj.0013","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.34133/csbj.0013","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1097/ms9.0000000000004657","name":"Digital twins in hypertrophic cardiomyopathy from sarcomeric mutation to predictive personalized care.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/ms9.0000000000004657","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1097/ms9.0000000000004657","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-025-32626-2","name":"Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32626-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-32626-2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1136/bmjopen-2025-106518","name":"Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1136/bmjopen-2025-106518","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1136/bmjopen-2025-106518","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-025-28466-9","name":"Digital twin driven smart factories: real time physics based co-simulation using edge a.i. and federated learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28466-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-28466-9","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/bit.70354","name":"Current State and Impact of Implementation of In-Silico Tools in the Biopharmaceutical Industry - Proceedings of the 6th Modeling Workshop.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/bit.70354","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/bit.70354","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.5173/ceju.2025.0341","name":"Artificial intelligence in robotic urologic surgery: bridging augmented reality and surgical autonomy.","source":"europepmc","abstract":"","url":"https://doi.org/10.5173/ceju.2025.0341","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5173/ceju.2025.0341","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fneur.2025.1678955","name":"Digital twin framework for postural tachycardia syndrome and autonomic disorders.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fneur.2025.1678955","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fneur.2025.1678955","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202512.1754.v1","name":"BrainTwin.AI: A New-Age Cognitive Digital Twin Advancing MRI-Based Tumor Detection and Progression Modelling via an Enhanced Vision Transformer, Powered with EEG-Based Real-Time Brain Health Intelligence","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.1754.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.1754.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fpubh.2026.1741438","name":"Digital twin virtual hospitals and rural health disparities: a six-country comparative study (2018-2024).","source":"europepmc","abstract":"Background: Rural health disparities are currently affecting 3.3 billion people worldwide. This study assesses the effectiveness of digital twin virtual hospitals in reducing rural health disparities. Methods: We examined health outcomes in six countries (United States, Australia, China, Brazil, India, Rwanda) between 2018 and 2024, employing fixed-effects panel models to evaluate the effect of digital health interventions on the Rural-Urban Mortality Ratio (RMR) and the gap in the management of chronic diseases. Results: < 0.001). Diminishing marginal returns occurred beyond the investment of $50 per capita. Lower-income countries achieved greater cost-efficiency, with Rwanda's ROI of 1:5.2 compared to the United States's 1:2.3. Three distinct implementation models were identified: technology-driven (United States, Australia), system integration (China), and leapfrog development (India, Rwanda). Conclusion: Digital twin virtual hospitals are associated with reductions in rural health disparities, potentially through predictive and personalized health strategies. Findings suggest that successful implementation depends more on contextually appropriate technology selection than on technological sophistication alone.","url":"https://doi.org/10.3389/fpubh.2026.1741438","authors":["Hualei Wang","Xiuhua Chai","Nan Zhao"],"tags":["Sophistication","Psychological intervention","Digital health","Investment (military)","Rural health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1741438","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.3389/frai.2025.1496945","name":"Population health management fit lifecycles in analytics.","source":"europepmc","abstract":"Introduction \"Population Health Management (PHM), Fit Lifecycles in Analytics\" examines the policy and practice of AI-driven methodologies to enhance public health and patient safety in the context of the Human Phenotype Ontology (HPO). It aims for personalized healthcare delivery through the risk stratification of predictors and pathology segmentation for intercepts. This manuscript aimed to introduce the Five-Point PHM strategy as a mission for public trust and governance. Scientific and technological advancements address public genomic inclusiveness and engage biobanks and life sciences for national public health and patient safety oversight. Methods The study assesses genome and socio-environmental health factor variables that segment and image disease through stakeholder engagement in real-world settings such as HPO neighborhood trials. It assesses practices for data training, emphasizing data alliances, scientific themes, and data structure. The manuscript evaluates data preprocessing and prioritizes open-source frameworks to ensure data balance and bias mitigation. Actions The recommendation for a PHM infrastructure ensures personal classification under the national authority with a comparative analysis of AI architectures that highlights trade-offs in AI modes for HPO. Structural and continuous control monitoring, explainability, and model performance metrics are emphasized. The actions transform the vision and language for HPO, advocating for a national generative classification for genome predictor pre-eXam and eXam intercepts. Actions on guardrails and ethics address a secure and safe national program. Discussion The governance of fit lifecycles in analytics discusses improvement with research science integration and accountability for HPO as primary care. The PHM mission and ten-year infrastructure plan addresses implementation challenges through government principles for an adoption mission with AISI/AIDRS authority. Diligent PHM through HPO policy action GPT-5, with federated data learning and quantum computing as emerging technologies that synergize for BM of predictors and intercepts. Conclusion The manuscript concludes with the potential of the proposed PHM mission to support the UK AI Action Plan and principles outlined in the UK Government AI Playbook. By integrating research science into HPO evidence-based primary care practice, this paper drives progress in public health and patient safety for national well-being and growth. The study advocates for the ethical and secure implementation of AI-driven PHM with public science and technology trustworthiness.","url":"https://doi.org/10.3389/frai.2025.1496945","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frai.2025.1496945","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/s25226885","name":"Automatic Calibration and Update of a Digital Twin for Plug &amp; Produce.","source":"europepmc","abstract":"This article presents a system for automatically updating a digital twin model, used for automated path planning of an industrial robot. The digital twin needs to be accurately calibrated in relation to the resource locations due to the physical limitations of placing resources out precisely. The process considered is a surface roughness measurement of aerospace metal parts that requires high positional accuracy. The scenario takes place in a robot cell that is a Plug & Produce system, where resources can be added and removed in minutes, allowing fast reconfiguration of the production resources. This means that an automated path planner is required for the robot to adapt to new locations of these resources automatically. A digital twin is proposed, consisting of a robot path planner and a simulation model that is updated when resources are added to the system. The resources should automatically appear in the simulation and be placed at an accurate location. The purpose of automating these steps is to make the update of the digital twin faster during production and remove the requirement for expert knowledge.","url":"https://doi.org/10.3390/s25226885","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25226885","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2196/81075","name":"Development of the Windmill Model for Mapping Older Adults' Intrinsic Capacity Using Digital Twin Technology: Descriptive Qualitative Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/81075","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/81075","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202512.0786.v1","name":"Digital Twin-Based Simulation of Smart Building Energy Performance: BIM-Integrated MATLAB/Simulink Framework for BACS and SRI Evaluation","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0786.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0786.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/cancers17243957","name":"Digital Twins for Radiopharmaceutical Dosimetry: PBPK Modelling of [&lt;sup&gt;177&lt;/sup&gt;Lu]Lu-rhPSMA-10.1 in a Preclinical mCRPC Model.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/cancers17243957","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/cancers17243957","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-026-43641-2","name":"A deployable digital twin framework for bolt-torque specification compression in EV chassis assembly.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-43641-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-43641-2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-025-30860-2","name":"How digital twin technology revitalizes exhibits and enhances visitors' appreciation for ceramic collections in online museum tours.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-30860-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-30860-2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202512.2347.v1","name":"Federated and Quantum-Inspired AI in Adaptive Traffic Systems Using Digital Twin Simulations and Predictive Analytics for Urban Flow Optimization and Carbon Footprint Reduction","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.2347.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.2347.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.xplc.2026.101820","name":"Integrating AI in seed science: Toward an intelligent design paradigm.","source":"europepmc","abstract":"Global agricultural systems face mounting threats to food security from climate change, population growth, and land degradation, with current productivity gains insufficient to meet the demands of a projected global population of 9.7 billion by 2050. Seeds, as both carriers of genetic information and the foundation of agricultural production, directly determine crop yield, resilience, and quality. Advancing seed innovation is therefore essential for achieving sustainable increases in agricultural productivity. This review traces the evolution of seed science from agrarian civilization to the era of intelligent seed design and summarizes recent advances in AI-based methodological innovations and applications. We introduce the emerging paradigm of AI-driven seed design, outline its core scientific questions and key technologies, and propose integrated technological pathways. Furthermore, we analyze current challenges and highlight future directions in this field. By integrating the latest research and technological developments, this review aims to establish an \"AI for Science\" paradigm for future-oriented seed research that meets the increasing global demand for sustainable and high-quality seed resources.","url":"https://doi.org/10.1016/j.xplc.2026.101820","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.xplc.2026.101820","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.64898/2025.12.19.695379","name":"A Digital Twin to Optimize Treatment Efficacy of Targeted Alpha-particle Therapies by Antibody-Radioconjugate Cocktails Against Solid Tumors","source":"europepmc","abstract":"Abstract Advanced solid tumors are incurable. Antibody-delivered targeted alpha-particle (α-particle) radionuclide therapies (TAT) comprise a tumor-agnostic treatment type, due to the unparalleled killing efficacy of, and irradiation precision (4-5 cell lengths) by, α-particles, as well as the selectivity in tumor cell targeting by antibody technologies. However, cells not being directly hit by α-particles will likely not be killed. METHODS To address the limited solid tumor penetration by highly specific and strongly binding antibody-radioconjugates, an experimentally informed digital twin, based on transport (diffusion/advection) first principles, was developed to describe an approach where a fraction of the administered (radio)activity is delivered by a separate type of a model α-particle antibody-radioconjugate of low(er)/no affinity for the same marker. The latter was chosen because it can irradiate cells residing in the deep regions of solid tumors away from vasculature. RESULTS The digital twin that was trained and validated on spheroids that were employed as surrogates of the avascular tumor regions, demonstrated that the investigated cocktails of antibody-radioconjugates with controlled affinities exhibited better inhibition of spheroid growth compared to the extent of growth inhibition by the high-affinity antibody-radioconjugate alone, for the same total (incubated) activity concentrations; this prediction was independent of spheroid size and/or level of expression of the targeted markers. CONCLUSION The findings of this study suggest that antibody-delivered TAT (that is already in the clinic) can be augmented by delivering a fraction of the same total activity by low(er) affinity antibody-radioconjugates. This combination of separate antibody-radioconjugates with variable affinities (for the same targeted marker) is a promising approach to possibly even more delay recurrence and further prolong survival of patients with advanced solid tumors.","url":"https://doi.org/10.64898/2025.12.19.695379","authors":["Michail Kavousanakis","Rachel Macher","Yannis Kevrekidis","Stavroula Sofou"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.19.695379","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1186/s40900-026-00923-3","name":"Community engagement and involvement in Sri Lanka: a knowledge mobilisation case study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s40900-026-00923-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s40900-026-00923-3","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202512.1013.v1","name":"Digital Twins for Cows and Chickens: From Hype Cycles to Hard Evidence in Precision Livestock Farming","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.1013.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.1013.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1002/smll.202507883","name":"Digital Twin-Driven Mechanical Degradation Diagnostics: Unraveling Microstructure Evolution of Silicon-based Lithium-Ion Battery Anodes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/smll.202507883","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/smll.202507883","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fimmu.2026.1746927","name":"Beyond prediction: AI as a mechanistic microscope and digital twin for colorectal cancer immunotherapy.","source":"europepmc","abstract":"Colorectal cancer (CRC) remains a major cause of cancer-related death, yet the benefits of immune checkpoint inhibitors are limited to a small subset of patients, particularly those with microsatellite instability-high or mismatch repair-deficient tumors. Most patients with microsatellite-stable disease derive little benefit, and even responsive subgroups show substantial heterogeneity and acquired resistance. These challenges highlight the need for biomarkers and therapeutic frameworks that can not only predict response, but also explain underlying biology and support dynamic treatment decisions. In this review, we propose that artificial intelligence (AI) can move beyond prediction to serve two broader roles in CRC immunotherapy: as a mechanistic microscope that reveals hidden tumor–immune interactions from multimodal data, and as a digital twin that models patient-specific therapeutic trajectories over time. We summarize recent advances in AI-based pathology, imaging, and liquid biopsy for pretreatment stratification and response monitoring, and discuss how these approaches may inform resistance mapping, adaptive trial design, and strategies to convert immunologically “cold” tumors into “hot” tumors. We further examine key translational barriers, including generalizability, interpretability, and regulatory validation. By integrating multimodal data with mechanistic modeling, AI may help shift CRC immunotherapy from population-level prediction toward dynamic, individualized precision oncology.","url":"https://doi.org/10.3389/fimmu.2026.1746927","authors":["Zijun Zhou","Jianping Zhou"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fimmu.2026.1746927","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41598-026-46403-2","name":"Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46403-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-46403-2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.nbt.2026.06.002","name":"Toward end-to-end continuous biopharmaceutical manufacturing: Current advances and prospects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.nbt.2026.06.002","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.nbt.2026.06.002","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.20944/preprints202511.0328.v1","name":"Adaptive Energy-Efficient Routing Protocol for Underwater Wireless Sensor Networks Using Digital Twin Synchronization","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202511.0328.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.0328.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/bioengineering13010001","name":"Digital Twin and Artificial Intelligence Technologies to Assess the Type IA Endoleak.","source":"europepmc","abstract":"Background/Objectives: Endovascular aneurysm repair (EVAR) is the standard treatment for abdominal aortic aneurysms, but the risk of endoleak compromises its effectiveness. Type IA endoleak, stemming from an inadequate proximal seal, is the most critical complication associated with the highest risk of rupture. Current preoperative planning relies on static anatomical measurements from computed tomography angiography that fail to predict seal failure due to dynamic biomechanical forces. This study aimed to retrospectively validate the predictive accuracy of a novel physics-informed digital twin and artificial intelligence (AI) model for predicting type IA endoleak risk compared to conventional static planning methods. Methods: This was a retrospective, single-center proof-of-concept validation study involving 15 patients who underwent elective EVAR (5 with confirmed type IA endoleak and 10 without type IA endoleak). A patient-specific digital twin was created for each case to simulate stent-graft deployment and capture the dynamic biomechanical interaction with the aortic wall. A logistic regression AI model processed over 16,000 biomechanical measurements to generate a single, objective metric of the endoleak risk index (ERI). The predictive performance of the ERI (using a cutoff of 0.80) was assessed and compared against a 1:3 propensity score-matched conventional control group (n = 45) who received traditional anatomical-based planning. Results: The mean ERI was significantly higher in the endoleak-positive group (0.85 ± 0.10) compared to the endoleak-negative group (0.39 ± 0.11) (p = 0.011). The digital twin/AI model demonstrated superior predictive capability, achieving an overall accuracy of 80% (95% CI: 51.9–95.7) and an area under the curve (AUC) of 0.85 (95% CI: 0.58–0.99). Crucially, the model achieved a sensitivity of 100% and a negative predictive value (NPV) of 100%, correctly identifying all high-risk cases and ruling out endoleak in all low-risk cases. In stark contrast, the matched conventional planning group achieved an overall accuracy of only 51.1% and an AUC of 0.54. Conclusion: This physics-informed digital twin and AI framework successfully validated its capability to accurately and objectively predict the risk of type IA endoleak following EVAR. The derived ERI offers a significant quantitative advantage over traditional static anatomical measurements, establishing it as a highly reliable safety tool (100% NPV) for ruling out endoleak risk. This technology represents a critical advancement toward personalized EVAR planning, enabling surgeons to proactively identify high-risk anatomies and adjust treatment strategies to minimize post-procedural complications. Further large-scale, multicenter prospective trials are necessary to confirm these findings and support clinical adoption.","url":"https://doi.org/10.3390/bioengineering13010001","authors":["Sungsin Cho","Hyangkyoung Kim","Jin Hyun Joh"],"tags":["Computer science","Artificial intelligence","Machine learning","Engineering","Reliability engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/bioengineering13010001","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"doi:10.21203/rs.3.rs-9367261/v1","name":"Artificial Intelligence-Based Environmental Control Systems for Reducing the Energy Performance Gap in Non-Residential Buildings: A Systematic and Critical Review (2018–2025)","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9367261/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9367261/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26061880","name":"IoT-Simulated Digital Twin with AI Traffic Signal Control for Real-Time Traffic Optimization in SUMO.","source":"europepmc","abstract":"Urban traffic congestion leads to longer travel times, economic losses, and increased pollution. Recent advances in the Internet of Things (IoT) provide detailed real-time traffic data, yet testing adaptive control strategies directly on live networks remains costly and risky. To address this challenge, we propose an IoT-driven digital twin framework for the design and evaluation of AI-based traffic management systems. The framework is implemented in the Simulation of Urban MObility (SUMO) and uses its Python 3.14.2 API to emulate a dense network of IoT sensors that stream real-time information on vehicle density, queue lengths, and waiting times. This simulated IoT data feeds an AI agent that adapts traffic signal control in real time. The agent is trained with a composite reward function to jointly minimise vehicle waiting times and emissions. Its performance is compared with fixed-time and vehicle-actuated control under varying traffic demand scenarios. Results demonstrate the effectiveness of combining IoT-based simulation with AI control, providing a safe and scalable pathway towards the real-world deployment of intelligent traffic management systems.","url":"https://doi.org/10.3390/s26061880","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26061880","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.jenvman.2025.127988","name":"The twin transition and flexible work arrangements: A systematic literature review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2025.127988","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.jenvman.2025.127988","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3389/fbioe.2025.1693334","name":"The next frontier in healthcare: perspectives and discussion on building trust and societal acceptance of digital humans in the essential framework of impact biomechanics.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbioe.2025.1693334","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fbioe.2025.1693334","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1371/journal.pone.0341224","name":"Development and implementation of a Digital Twin workshop for a smoke alarm production line.","source":"europepmc","abstract":"To address issues such as low manual production efficiency, inability to track production status, and lack of traceability for quality defects in smoke alarm manufacturing, this paper proposes a method for constructing a digital twin workshop for smoke alarm production lines. First, through demand analysis of the smoke alarm production workshop, a digital twin workshop system architecture is established. Then, by constructing a workshop digital twin model, building the workshop information system architecture, and completing multi-source heterogeneous data collection, a virtual-physical mapping between the virtual workshop and the physical workshop is achieved. Finally, the feasibility is validated in a company’s smoke alarm production workshop, demonstrating that the system can realize functions such as production progress tracking, quality control, and equipment operation monitoring. Compared to traditional transmission production, the application of this digital twin workshop significantly enhances production efficiency. Defect identification rates increased by 3.2%, product defect rates dropped significantly below 0.1%, and labor costs decreased by 96.7%.","url":"https://doi.org/10.1371/journal.pone.0341224","authors":["Min Wu","Wenfeng Ying"],"tags":["Traceability","Production (economics)","ALARM","Computer science","Production line"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0341224","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.3389/fdata.2025.1659757","name":"Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in digital twin ecosystems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdata.2025.1659757","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdata.2025.1659757","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/jpm16040202","name":"Integrating AI Segmentation, Simulated Digital Twins, and Extended Reality into Medical Education: A Narrative Technical Review and Proof-of-Concept Case Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jpm16040202","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jpm16040202","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1371/journal.pone.0345757","name":"Remanufacturing workshop management in blockchain and digital twin-based cloud remanufacturing service platform.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0345757","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0345757","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2196/72830","name":"Digital Twins for Just-in-Time Adaptive Interventions (JITAIs): Framework for Optimizing and Continually Improving JITAIs.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/72830","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/72830","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.compenvurbsys.2026.102414","name":"FlowsDT: A geospatial digital twin for navigating urban flood dynamics.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.compenvurbsys.2026.102414","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.compenvurbsys.2026.102414","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/jcm15124523","name":"Longitudinal Ultrasound Evaluation of Cervical Length for Predicting Spontaneous Preterm Delivery Before 34 Weeks in Twin Gestations: A Retrospective Cohort Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15124523","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcm15124523","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.trre.2026.101004","name":"Implementing digital twin technology in organ transplantation: Concepts, emerging evidence, and clinical translation pathways.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.trre.2026.101004","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.trre.2026.101004","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1148/rycan.250567","name":"Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.","source":"europepmc","abstract":"In neuro-oncology, digital twins integrate imaging, computational modeling, and artificial intelligence to simulate tumor dynamics and guide personalized therapies, with strong predictive accuracy but limited validation, real-time use, and standardization.","url":"https://doi.org/10.1148/rycan.250567","authors":["Annie Singh","Fatima Ahmad Qureshy","Angelica P. Kurtz","Moinak Bhattacharya","Prateek Prasanna","Gagandeep Singh"],"tags":["Machine learning","Computer science","Relevance (law)","Artificial intelligence","Predictive modelling"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1148/rycan.250567","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"doi:10.20944/preprints202512.2781.v1","name":"Mechanical Coffee Dryers and Digital Twins: A Systematic Review","source":"europepmc","abstract":"Mechanical coffee dryers have been widely adopted to reduce weather dependence, improve yield, and stabilize product quality. However, their operation is still energy-intensive and often suboptimal in terms of controlling the temperature, airflow and moisture content of the grains. In parallel, digital twin (DT) technology has emerged to virtually replicate complex processes and enable model-based monitoring, optimization, and control. This article presents a systematic review based on PRISMA on mechanical coffee dryers and their modeling and control strategies and the current and emerging use of digital twins in drying processes, including agricultural and food products with technological analogies to coffee. The results show a large amount of research on mathematical modeling, energy evaluation, and quality evaluation of mechanical coffee drying. Rapidly growing but still predominantly conceptual literature on digital twins for food processing and drying. Finally, only a small convergence between the two fields, with no fully realized digital twin for mechanical coffee dryers having yet been reported. This review found key gaps in the detection, data infrastructure, and development of hybrid physical-informed AI models. Finally, lines of research are proposed for mechanical coffee dryers enabled with digital twins, aimed at energy efficiency, product traceability and quality assurance.","url":"https://doi.org/10.20944/preprints202512.2781.v1","authors":["Cristian Valencia-Payan","Juan Fernando Casanova Olaya","Juan Carlos Corrales"],"tags":["Traceability","Product (mathematics)","Quality (philosophy)","Engineering","Process engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.2781.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1007/s11548-026-03763-4","name":"Robotic ultrasound scanning platform with autonomous control, multimodal human-machine interface and real-time image analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11548-026-03763-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11548-026-03763-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1177/20552076261415934","name":"Digital twins in healthcare: A systematic review of current applications, frameworks, and future directions.","source":"europepmc","abstract":"Objective: This systematic review aims to evaluate current digital twin (DT) applications in healthcare, explore their technological foundations, and propose a roadmap for scalable, patient-centered implementation. Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines, a systematic search was conducted across Medline, Scopus, Web of Science, and EBSCO up to May 2025. Eligible studies included peer-reviewed research on DT applications in clinical or healthcare settings involving human or patient-related data. Methodological quality was assessed using appropriate Joanna Briggs Institute critical appraisal tools based on study design. The systematic review protocol was prospectively registered in Prospective Register of Systematic Reviews (registration number: CRD420251120304). Results: 26 studies were included, with most published between 2023 and 2025. DT applications spanned diagnostics, therapy optimization, physiological monitoring, and system-level modeling. Simulation-based designs dominated, often integrating artificial intelligence, internet of things, and machine learning. While several studies reported strong technical performance (e.g. up to 96.3% accuracy), real-world clinical integration was rare. Notable outcomes included better glycemic control, pain management, and disease progression prediction. Barriers included insufficient infrastructure detail, limited validation, and equity concerns. The roadmap highlights three enablers: privacy-preserving, validation pipelines, and interoperability. Conclusion: DTs offer transformative potential for predictive, personalized, and participatory healthcare. Realizing clinical impact requires bridging the translational gap and scaling personalization. This review outlines key strategies for interdisciplinary innovation and deployment of DTs in healthcare.","url":"https://doi.org/10.1177/20552076261415934","authors":["Valeria Calcaterra","Luca Guardamagna","Alessandro Gatti","Virginia Rossi","Pamela Patanè","Luca Marin","Matteo Vandoni","Gianvincenzo Zuccotti"],"tags":["Systematic review","Digital health","Bridging (networking)","Health care","Medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/20552076261415934","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.3390/biomimetics10110725","name":"DT-Loong: A Digital Twin Simulation Framework for Scalable Data Collection and Training of Humanoid Robots.","source":"europepmc","abstract":"Recent advances in bionic intelligence are reshaping humanoid-robot design, demonstrating unprecedented agility, dexterity and task versatility. These breakthroughs drive an increasing need for large scale and high-quality data. Current data generation methods, however, are often expensive and time-consuming. To address this, we introduce Digital Twin Loong (DT-Loong), a digital twin system that combines a high-fidelity simulation environment with a full-scale virtual replica of the humanoid robot Loong, a bionic robot encompassing biomimetic joint design and movement mechanism. By integrating optical motion capture and human-to-humanoid motion re-targeting technologies, DT-Loong generates data for training and refining embodied AI models. We showcase the data collected from the system is of high quality. DT-Loong also proposes a Priority-Guided Quadratic Optimization algorithm for action retargeting, which achieves lower time delay and enhanced mapping accuracy. This approach enables real-time environmental feedback and anomaly detection, making it well-suited for monitoring and patrol applications. Our comprehensive framework establishes a foundation for humanoid robot training and further digital twin applications in humanoid robots to enhance their human-like behaviors through the emulation of biological systems and learning processes.","url":"https://doi.org/10.3390/biomimetics10110725","authors":["Yufei Liu","Yang Li","Jinda Du","Yanjie Rui","Yongyao Li"],"tags":["Humanoid robot","Emulation","Computer science","Artificial intelligence","Robot"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/biomimetics10110725","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1002/advs.76228","name":"A Review of Failure Modes and Safety Strategies of Lithium-Ion Batteries from Materials to Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.76228","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/advs.76228","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-9435119/v1","name":"Integrated Quality Management Model for Teaching Factory in the Era of Industrial Revolution 4.0 : A Systematic Literature Review","source":"europepmc","abstract":"Abstract Aim This systematic literature review synthesizes research on quality management models for Teaching Factories (TeFa) in the Industrial Revolution 4.0 (IR 4.0) era, aiming to identify core components and technological enablers for an integrated model aligning pedagogical outcomes with industrial standards. Method Following PRISMA guidelines, a systematic review was conducted across Scopus, Web of Science, IEEE Xplore, and Google Scholar for peer-reviewed articles published between 2015 and 2025. After applying inclusion criteria, 15 primary studies were selected for thematic synthesis. Results Existing TeFa quality models are fragmented. Three themes emerged: (1) technological integration (IoT, cyber-physical systems, cloud monitoring), (2) process alignment (ISO 9001:2015 with industry 4.0 standards), and (3) competency-based assessment (digital rubrics, blockchain certification). No single model integrates all three. Key barriers include interoperability gaps and weak feedback loops. Novelty The study proposes the IR4.0 TeFa QM Integration Matrix, a novel framework mapping four quality dimensions (planning, control, assurance, improvement) against four TeFa layers (physical production, virtual simulation, student assessment, industry collaboration). Practical Implication: Educators gain guidelines for AI-based defect tracking and digital twin audits; industry partners benefit from student outputs meeting real-time production tolerances, reducing rework. Contribution: This review consolidates fragmented knowledge, introduces a testable model bridging pedagogical-industrial quality divides, and sets an agenda for validating cyber-physical quality systems in educational production environments.","url":"https://doi.org/10.21203/rs.3.rs-9435119/v1","authors":["Eka Saraswati","Muhammad Kristiawan","Eko Risdianto"],"tags":["Engineering","Industry 4.0","Interoperability","Systematic review","Engineering management"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9435119/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.3233/shti260847","name":"Continuous Glucose Monitoring and Personalized Nutrition in Type 2 Diabetes - A Scoping Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260847","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260847","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8688204/v1","name":"Reflexive digital twins and behavioral governance in data-driven systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8688204/v1","authors":["Atantra Das Gupta"],"tags":["Reflexivity","Corporate governance","Personalization","Sociology","Public relations"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8688204/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.1177/11795972261431928","name":"Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.","source":"europepmc","abstract":"Digital twins (DT) technology has shown considerable growth in recent years. Previous studies have examined technologies in a variety of areas, including health care. However, limited studies have attempted to provide a thorough discussion of strategies for the seamless integration of DT into health care, particularly in the context of interoperability of heterogeneous medical data. This review examines the underlying concept of DT and its possible integration in healthcare, particularly in the context of healthcare interoperability. It also analyzes the main problems such as the lack of standardized protocols, the non-homogeneity of data formats and technical complexity. Finally, potential opportunities are highlighted such as standardized protocol, the creation of an open data platform and the empowerment of semantic interoperability. In conclusion, this review has provided valuable insights for many professionals, including researchers and healthcare providers, which will contribute to empowering patient-centered or personalized medicine and to the development of digital health.","url":"https://doi.org/10.1177/11795972261431928","authors":["Tengku Ahmad Iskandar Tengku Alang","Yeong Yeh Lee","T. X. Tan","Ariffin Marzuki Mokhtar"],"tags":["Interoperability","Variety (cybernetics)","Context (archaeology)","Health care","Digital health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/11795972261431928","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-7949894/v1","name":"ROS-based Digital Twin Framework for Operator Training in Virtual Reality","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7949894/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7949894/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1016/j.isatra.2025.11.004","name":"Straddle-type monorail train gearbox fault diagnosis based on digital twin and domain adaptation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2025.11.004","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.11.004","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1007/s44446-025-00055-x","name":"AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s44446-025-00055-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1007/s44446-025-00055-x","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-8099168/v1","name":"Multimodal Digital Twin Framework for Personalized CyberKnife Dosimetry and Survival Prediction in Non–Small Cell Lung Cancer","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8099168/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8099168/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-025-30494-4","name":"Modeling method for the digital twin of a discrete workshop based on the transfer of multi-dimensional model information.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-30494-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-30494-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-32276-4","name":"A digital twin approach for sustainable construction: predictive optimization of concrete strength using industry 4.0 principles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32276-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-32276-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-8032374/v1","name":"Video-Based Cattle Behavior Detection for Digital Twin Development in Precision Dairy Systems","source":"europepmc","abstract":"Abstract Digital twins in dairy systems require reliable behavioral inputs. We develop a video‑based framework that detects and tracks individual cows and classifies seven behaviors under commercial barn conditions. From 4,964 annotated clips, expanded to 9,600 through targeted augmentation, we couple YOLOv11 detection with ByteTrack for identity persistence and evaluate SlowFast versus TimeSformer for behavior recognition. TimeSformer achieved 85.0% overall accuracy (macro‑F1 0.84) and real‑time throughput of 22.6 fps on RTX A100 hardware. Attention visualizations concentrated on anatomically relevant regions (head/muzzle for feeding and drinking; torso/limbs for postures), supporting biological interpretability. Structured outputs (cow ID, start-end times, durations, confidence) enable downstream use in nutritional modeling and 3D digital‑twin visualization. The pipeline delivers continuous, per‑animal activity streams suitable for individualized nutrition, predictive health, and automated management, providing a practical behavioral layer for scalable dairy digital twins.","url":"https://doi.org/10.21203/rs.3.rs-8032374/v1","authors":["Shreya Rao","Eduardo Garcia","Suresh Neethirajan"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8032374/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1038/s44321-026-00404-w","name":"TIA: transient brain ischemia but persistent damage.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44321-026-00404-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44321-026-00404-w","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8401810/v1","name":"A Digital Twin and Knowledge Graph Fusion Framework for Industrial Intelligence","source":"europepmc","abstract":"Abstract In modern industrial systems, Digital Twins (DT) focus on mapping physical states, simulating conditions, and predicting operations. Knowledge Graphs (KG) specialize in structured knowledge representation, cross-entity association, and logical inference. Despite their complementarity, the separation between the data and semantic layers leads to challenges such as limited model reuse, weak semantic interpretation, and a lack of closed-loop control. This paper presents a four-layer DT–KG fusion architecture (Q-Layer) that defines collaborative mechanisms from entity mapping through cognitive decision-making and distills four fusion patterns suited to diverse industrial scenarios. Q-Layer addresses the problem of heterogeneous data silos by establishing a closed loop of perception, semantics, inference, and decision, significantly enhancing system intelligence and adaptability. This framework offers a scalable pathway and theoretical foundation for advancing industrial intelligence.","url":"https://doi.org/10.21203/rs.3.rs-8401810/v1","authors":["Jia Li","Jingwei Zhao","Xuwei Huang","Ruiqi Li"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8401810/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1016/j.ijmedinf.2025.106229","name":"The role of digital twin technology in modern emergency care.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijmedinf.2025.106229","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijmedinf.2025.106229","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.cmpb.2025.109231","name":"Application of blockchain-based digital twin technology in healthcare: A scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.cmpb.2025.109231","authors":["You Yang","Ying Meng Liu","Ying Hai Chen","Li Chen"],"tags":["Computer science","Digital transformation","Health care","Data science","Emerging technologies"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"10.1016/j.cmpb.2025.109231","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.3390/biology15120974","name":"The Programmable Microbiome: Integrative AI and Multi-Omics Frameworks for Precision T2DM Management.","source":"europepmc","abstract":"The gut microbiota is recognized as a programmable metabolic organ that governs systemic homeostasis. Recent advances (2023-2025) have pivoted Type 2 Diabetes Mellitus (T2DM) research from a host-centric perspective toward a failure of bidirectional host-microbe metabolic flux. This review evaluates the molecular mechanisms underpinning this shift, focusing on microbial metabolite signaling, virome-mediated modulation, and the emergence of drug-microbiome interactions as critical therapeutic variables. We highlight the transformative role of AI-guided mapping and digital twin simulations in modeling high-resolution metabolic flux and predicting the stability of engineered microbial consortia. By integrating meta-transcriptomics and epigenomics, we characterize the functional plasticity of the microbiome under therapeutic stress. We argue that framing the microbiota as a programmable infrastructure-integrated with AI analytics and metabolic engineering-enables adaptive, real-time interventions. This synthesis offers a blueprint for transitioning from correlative observations toward precision microbiome engineering to achieve sustained metabolic resilience.","url":"https://doi.org/10.3390/biology15120974","authors":["Barlina Konwar","Kwang-sun Kim"],"tags":["Microbiome","Computer science","Computational biology","Cyberinfrastructure","Blueprint"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/biology15120974","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/jpm15110504","name":"From Architecture to Outcomes: Mapping the Landscape of Digital Twins for Personalized Diabetes Care-A Scoping Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jpm15110504","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/jpm15110504","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.14293/pr2199.002360.v1","name":"Digital Twin and BI Synergy for Predictive Cyber Risk Management in Industrial Automation","source":"europepmc","abstract":"The growing convergence of industrial automation and digital technologies has transformed modern manufacturing systems into highly interconnected environments. While this connectivity enhances efficiency and adaptability, it also amplifies the surface for cyber vulnerabilities. This study explores the synergistic integration of Digital Twin (DT) technology and Business Intelligence (BI) to enable predictive cyber risk management in industrial automation. The research underscores how digital twins, functioning as real-time virtual replicas of physical assets and processes, can simulate cyber-physical interactions, detect anomalies, and assess potential threats before they escalate. When combined with BI analytics, these digital twins transform operational data into actionable intelligence, facilitating proactive decision-making and adaptive risk mitigation. The paper presents a conceptual framework that integrates sensor data, predictive analytics, and cyber-risk indicators through a unified BI-DT platform, enabling continuous monitoring, early threat prediction, and automated resilience strategies. The proposed approach not only supports situational awareness and compliance with industrial cybersecurity standards but also enhances the overall cyber resilience of automation systems. This synergy offers a pathway toward intelligent, self-learning industrial ecosystems capable of anticipating and neutralizing cyber threats in real time.","url":"https://doi.org/10.14293/pr2199.002360.v1","authors":["Garba M."],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.14293/pr2199.002360.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-8220545/v1","name":"Building and Performance Validation of a Digital Twin Regulatory Framework for Financial Compliance and Market Transparency","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8220545/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8220545/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.3390/biomimetics10110774","name":"Biomimetic Digital Twin of Future Embodied Internet for Advancing Autonomous Vehicles and Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10110774","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/biomimetics10110774","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.3390/clinpract15120237","name":"A Digital Twin Strategy Combined with a Monte Carlo Simulation Framework to Predict Outcomes in Patients with Unusual-Site Venous Thrombosis Treated with Direct Oral Anticoagulants Versus Vitamin K Antagonists Using Data from Real-World Populations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/clinpract15120237","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/clinpract15120237","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-026-35877-9","name":"Personalized skill transfer optimization in swimming training through multi-agent reinforcement learning driven digital twin environments.","source":"europepmc","abstract":"Traditional swimming training methodologies face inherent limitations in providing personalized, adaptive, and scalable training solutions that accommodate diverse learning patterns and individual athlete characteristics. This research introduces a novel framework integrating multi-agent reinforcement learning with digital twin technology to create an intelligent swimming training environment capable of delivering personalized skill transfer optimization through meta-learning strategies. The proposed system addresses conventional training limitations by providing adaptive, data-driven training recommendations that evolve based on individual swimmer characteristics and performance dynamics. The multi-agent architecture enables simulation of complex training scenarios while incorporating real-time feedback mechanisms that continuously refine training strategies. Key contributions include: (1) development of a comprehensive digital twin swimming environment modeling biomechanical and hydrodynamic processes, (2) implementation of multi-agent reinforcement learning algorithms for personalized sports training, (3) integration of meta-learning based skill transfer optimization enabling efficient knowledge transfer across swimmers and contexts, and (4) experimental validation demonstrating improved training efficiency and performance outcomes. Experimental results show 34% faster convergence rates and 22% higher final performance scores compared to baseline methods, with 2.7× faster skill acquisition rates and 89% retention rates over extended periods. The framework demonstrates robust adaptation capabilities across diverse swimmer populations while maintaining computational efficiency and system stability.","url":"https://doi.org/10.1038/s41598-026-35877-9","authors":["Zhengliang Wu"],"tags":["Computer science","Reinforcement learning","Scalability","Transfer of learning","Adaptation (eye)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-35877-9","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1101/2025.11.13.688203","name":"Video-Based Cattle Behavior Detection for Digital Twin Development in Precision Dairy Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.1101/2025.11.13.688203","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.13.688203","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.1109/jbhi.2025.3647298","name":"Neurosymbolic Digital Twin for Cardiovascular Disease Prediction and Personalized Modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/jbhi.2025.3647298","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1109/jbhi.2025.3647298","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1097/cin.0000000000001338","name":"Digital Twins in the Field of Nursing: A Literature Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/cin.0000000000001338","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1097/cin.0000000000001338","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1016/j.csbj.2025.11.042","name":"G protein-coupled receptor digital twins for precision and personalized medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.csbj.2025.11.042","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.csbj.2025.11.042","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.12688/f1000research.185550.2","name":"Remote Sensing for Forest Monitoring Across Four and a Half Decades: Mapping Knowledge Evolution, Scientific Collaboration, and Emerging Research Frontiers","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/f1000research.185550.2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/f1000research.185550.2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1136/thorax-2025-223147","name":"Digital twin-based bronchoscopy simulator improves training performance and skill retention of novices: a randomised controlled study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1136/thorax-2025-223147","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1136/thorax-2025-223147","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1037/tmb0000203","name":"Heterogeneous Associations Between Objectively Measured Screen Time and Sleep in Early Adolescence.","source":"europepmc","abstract":"","url":"https://doi.org/10.1037/tmb0000203","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1037/tmb0000203","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1007/s11548-025-03553-4","name":"A biomechanical digital twin of Legg-Calvé-Perthes disease deformity.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11548-025-03553-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11548-025-03553-4","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"epmc:MED42328070","name":"Toward a Digital Twin of the Female Pelvic Floor.","source":"europepmc","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42328070/","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202511.0981.v1","name":"A Digital Twin of Dapagliflozin Pharmacokinetics and Pharmacodynamics in Type 2 Diabetes Mellitus: Modeling Variability in Dosing, Hepatorenal Impairment, and Food Effects","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202511.0981.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.0981.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1038/s41598-025-27812-1","name":"Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-27812-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-27812-1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26051734","name":"Adaptive Digital Twin Modeling with Control: Integration of Extended Kalman Filter-Based Recursive Sparse Nonlinear Identification with Model Predictive Control.","source":"europepmc","abstract":"The adoption of digital twins has revolutionized industrial process simulation, monitoring, and control effectiveness. However, practical implementations of digital twins are hindered by substantial challenges, including extended development time, diminishing model accuracy, and restricted interactive capabilities. Addressing these critical issues, this paper proposes a comprehensive digital twin development framework that integrates digital twin identification, real-time model updating, and advanced process control. The proposed approach first identifies the offline digital twin model through the sparse identification of a nonlinear dynamics algorithm, reducing the digital twin development time while maintaining model fidelity. Then, the identified model is updated by the extended Kalman filter to mitigate the problem of diminishing accuracy. Finally, incorporating the latest updated model into the model predictive control facilitates the control inputs optimization and enhances the interactive capacity of digital twins. Through one industrial case study and two simulation examples, the advantages of the proposed algorithm are demonstrated.","url":"https://doi.org/10.3390/s26051734","authors":["Jingyi Wang","Liang Cao","Yankai Cao","Bhushan Gopaluni"],"tags":["Model predictive control","Computer science","Kalman filter","Process (computing)","Identification (biology)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26051734","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.3389/fdgth.2026.1761641","name":"Large language models in healthcare quality management: a European perspective on process automation and compliance.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2026.1761641","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1761641","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.64898/2025.12.04.25341430","name":"Digital Twin Metabolic Flux Profiling Enables Precise Prediction of Therapeutic Outcomes in Type 2 Diabetes","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2025.12.04.25341430","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.04.25341430","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8040156/v1","name":"Hybrid tools for tube bending processes using additive manufacturing and digital twin","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8040156/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8040156/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41566-026-01880-9","name":"Experimental memory control in continuous-variable optical quantum reservoir computing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41566-026-01880-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41566-026-01880-9","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1021/acsomega.5c10292","name":"Digital-Twin Enabled \"Living Fresco\".","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsomega.5c10292","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acsomega.5c10292","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1021/acs.jpclett.5c02420","name":"Glycosylation as a Facile Route to Control Enzyme Orientation at Interfaces.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.jpclett.5c02420","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1021/acs.jpclett.5c02420","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"epmc:MED42016720","name":"Exploring the role of digital twin systems in mine safety.","source":"europepmc","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42016720/","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1002/advs.202509725","name":"Mechanism-Aware Digital Twin for High-Temperature Creep Prediction in Mo-Re Alloys.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.202509725","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1002/advs.202509725","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-32307-0","name":"Automated and manual model creation workflows are equally reliable for virtual mechanical testing of ovine bone and fracture healing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32307-0","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-32307-0","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-8164960/v1","name":"Method for Machining monitoring using accelerometry coupled with a dynamic digital twin brick for smart manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8164960/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8164960/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1021/acs.oprd.5c00449","name":"Breaking the Boundaries of Bayesian Optimization Utilizing Continuous Chemistry Digital Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.oprd.5c00449","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acs.oprd.5c00449","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-9389596/v1","name":"Deciphering Wood Pyrolysis Dynamics: SHAP-Enhanced Machine Learning Models for Biochar Optimisation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9389596/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9389596/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.14293/pr2199.003447.v1","name":"A Provably Stable Geometric Bayesian Self-Healing Framework for Deep-Space Cyber-Physical Systems: SO(3) Attitude Dynamics, Multi-Physics Energy--Thermal Coupling, and Lessons from the 2025 Lunar Trailblazer Catastrophe","source":"preprints","abstract":"","url":"https://doi.org/10.14293/pr2199.003447.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.14293/pr2199.003447.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.64898/2025.12.17.693373","name":"Muscle activation prediction in essential tremor through neuromusculoskeletal digital twinning and deep neural networks","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2025.12.17.693373","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.17.693373","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202510.2136.v1","name":"Low-altitude Airspace UAV Management Based on Intent Driven and Digital Twin System","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.2136.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.2136.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.12688/f1000research.185550.1","name":"Remote Sensing for Forest Monitoring Across Four and a Half Decades: Mapping Knowledge Evolution, Scientific Collaboration, and Emerging Research Frontiers","source":"preprints","abstract":"","url":"https://doi.org/10.12688/f1000research.185550.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/f1000research.185550.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1101/2025.11.12.688044","name":"Integrating AI-MIDD with Mechanistic Erythropoietin Modeling: A Digital-Twin Framework for Optimizing ESA Therapies","source":"preprints","abstract":"Abstract Erythropoiesis-stimulating agents (ESAs) remain a mainstay for anemia therapy, yet variability in response and emerging resistance mechanisms limit their effectiveness. We developed a hybrid AI-MIDD (Model-Informed Drug Development) and Quantitative Systems Pharmacology (QSP) platform and applied it for integrating mechanistic signaling (EPO–EpoR–JAK2/STAT5–SOCS3/CIS) with metabolic (mTOR), iron-homeostatic (hepcidin), and HIF-mediated endogenous EPO feedback. The model was implemented in SBML (epo_qsp_combined_all.xml) and simulated over 12 weeks under various ESA, SUMO-blocker, miR-486 exosome, mTOR, and HIF-PHI perturbations. AI-assisted parameter scanning revealed distinct dose-sparing regimes: SUMO inhibition improved receptor recycling and reduced ESA requirement by ∼30%; exosomal miR-486 reduced SOCS3/CIS burden, restoring STAT5 sensitivity; HIF-PHI enhanced baseline EPO synthesis, while mTOR modulation stabilized reticulocyte oscillations. Multi-objective optimization identified triplet combinations achieving Hb targets with minimized pSTAT5 burden. The AI-MIDD–QSP integration provides a digital-twin for patient-specific ESA optimization and enables rational design of combination regimens and patentable therapeutic concepts. This framework generalizes to other hematopoietic and cytokine-signaling systems, advancing mechanism-based drug development. Manuscript Highlights A hybrid AI-MIDD and QSP “digital-twin” of erythropoiesis was developed, integrating core EPO signaling with SUMO-recycling, exosomal miR-486, and mTOR metabolic pathways. The model identifies and quantifies SUMO-pathway inhibition as a novel, dose-sparing mechanism, showing a ∼30% reduction in ESA requirement by increasing EpoR membrane recycling. The model demonstrates how exosomal miR-486 delivery can restore signaling sensitivity in resistant states by reducing the SOCS3/CIS negative feedback burden by ∼40%. AI-driven multi-objective optimization identified a novel triplet combination (ESA + SUMO inhibition + miR-486) as the most effective regimen, achieving target hemoglobin with a 45% reduction in cumulative ESA and minimized pSTAT5 signaling burden.","url":"https://doi.org/10.1101/2025.11.12.688044","authors":["Igor Goryanin","Irina Goryanin"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.12.688044","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.20944/preprints202512.0392.v1","name":"Cave of Altamira (Spain): UAV-Based SLAM Mapping, Digital Twin and Segmentation-Driven Crack Detection for Preventive Conservation in Paleolithic Rock-Art Environments","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.0392.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0392.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202511.0893.v1","name":"Quantum-Informed Metal-Hydride Hydrogen Storage: Physics-Consistent Multiscale Modeling, Predictive Control, and Digital Twin Framework","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202511.0893.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.0893.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202511.1259.v1","name":"From Automation to Autonomy: A Digital Twin Framework for Transparent Agent and Human Collaboration in Industrial Multi-Agent Systems","source":"preprints","abstract":"With the advancement of digitization in the era of Industry 4.0 (I4.0), highly automated, semi-autonomous, and fully autonomous systems are emerging. Within this context, multi-agent systems (MAS) offer a promising approach for automating tasks and processes based on autonomous agents that work together in an overall system to increase the degree of system autonomy stepwise in a modular and flexible way. A critical research challenge is determining how these agents can collaboratively engage with both other agents and human operators to facilitate the gradual transition from automated to fully autonomous industrial systems. To close transparency and connectivity gaps, this study contributes with a framework for the collaboration of agents and humans in increasingly autonomous MAS based on a Digital Twin (DT). The framework specifies a standard-based data model for MAS representation and proposes to introduce a DT infrastructure as a service layer for system coordination, supervision, and interaction. To demonstrate the feasibility and assess the quality of the framework, it is implemented and evaluated in a case study in a real-world industrial scenario. As a result of the study, we infer that the DT framework offers significant benefits in facilitating transparent and seamless cooperation between agents and humans within increasingly autonomous industrial MAS.","url":"https://doi.org/10.20944/preprints202511.1259.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.1259.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202510.2394.v1","name":"A Bidirectional Digital Twin System for Adaptive Manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.2394.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.2394.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1101/2025.10.28.25338899","name":"A digital twin methodology using real patient data for sample size reduction in Alzheimer’s disease randomized controlled clinical trials","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.28.25338899","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.28.25338899","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.64898/2025.12.06.692733","name":"Enterprise Health Twins - Conceptual Framework, Design Principles, and Longitudinal Evaluation: Preliminary Results from EpiToMe","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2025.12.06.692733","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.06.692733","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202509.0402.v1","name":"Digital Twin and Webapp Prototypes for Traditional Market Governance in Indonesia: A Narrative Research Perspective","source":"preprints","abstract":"Purpose: This paper explores the conceptual integration of digital twin technologies and webapp prototypes into the governance of traditional markets in Indonesia. It aims to articulate how systemic perspectives, governance frameworks, and user-centered design can converge to support digital transformation in socio-economically significant but underexplored contexts. Methodology: Adopting a narrative research approach, the study synthesizes theoretical foundations—including systems theory, market equilibrium, technology adoption models, and system dynamics—with applied frameworks such as the Value Exchange Network (VEN), IT Governance–SPBE alignment, and Design Thinking methodologies. The analysis draws on empirical insights from existing literature and contextual data on Indonesian markets to construct a conceptual pathway for digital twin applications. Findings: The narrative highlights three key insights: (i) reframing traditional markets as dynamic systems necessitates holistic digital interventions beyond transactional digitalization; (ii) governance structures anchored in VEN and ITGM frameworks are indispensable for accountability and sustainability; and (iii) user-centered design is a critical determinant of adoption, particularly in contexts characterized by digital literacy gaps and socio-cultural diversity. While digital twin applications hold promise for improving transparency, predictive analytics, and policy simulation, their realization in traditional markets requires participatory approaches, robust governance, and incremental prototyping. Originality: This paper contributes to the emerging discourse on digital twin applications beyond industrial domains by situating traditional markets in Indonesia as a frontier for digital governance innovation. By synthesizing systemic, governance, and design perspectives, the study provides a novel conceptual framework that can guide future empirical research, policy experimentation, and participatory implementation strategies for inclusive digital transformation.","url":"https://doi.org/10.20944/preprints202509.0402.v1","authors":["Andy Ismail"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.0402.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.20944/preprints202510.1254.v1","name":"A Digital Twin of the Angiotensin II Receptor Blocker Losartan: Physiologically Based Modeling of Blood Pressure Regulation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.1254.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.1254.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202510.1750.v1","name":"AI-Enhanced Digital Twin Platform for Smart Water Distribution: Integrating Machine Learning Models with IoT-Driven Predictive Analytics","source":"preprints","abstract":"Urban water distribution systems are facing unprecedented challenges due to aging in-frastructure, climate change impacts, and increasing demand from growing populations.This paper presents WaterTwin-AI, an innovative digital twin platform that integrates In-ternet of Things (IoT) sensors, artificial intelligence (AI), and machine learning (ML) al-gorithms to transform water distribution management practices. Our platform employsfour complementary predictive models including Long Short-Term Memory (LSTM) net-works, Facebook Prophet, LightGBM, and XGBoost to forecast water demand with achiev-ing 94.2% accuracy levels. The system incorporates real-time data collection from 450 IoTsensors across a metropolitan network that serves 750,000 residents and commercial enti-ties. A novel multi-objective optimization algorithm reduces operational costs by 28% whiledecreasing water loss by 15% through intelligent maintenance scheduling. Comprehensivecybersecurity protocols ensure data integrity and system resilience against various threats.Experimental validation conducted over 18 months demonstrates significant improvementsin predictive accuracy, operational efficiency, and environmental sustainability aspects. Theplatform achieves real-time response capabilities with sub-50ms latency and maintains 99.8%system availability throughout the deployment period.","url":"https://doi.org/10.20944/preprints202510.1750.v1","authors":["María López","José Hernández","Ana Rodríguez"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.1750.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7699256/v1","name":"Cost–Reliability Trade-offs in Additive Manufacturing Maintenance: A Digital Twin, Kaplan–Meier, and Monte Carlo Approach","source":"europepmc","abstract":"Abstract Additive Manufacturing (AM) has matured into a production technology in which long, high-value build cycles magnify the operational and economic consequences of even brief disruptions. This paper advances an integrated maintenance framework that unifies stochastic degradation modeling, condition-based maintenance (CBM), and a digital-twin prognostics layer to jointly minimize lifecycle cost and enforce mission-time reliability. Degradation is represented as a drift–diffusion (Wiener) process, enabling closed-form first-passage benchmarks and efficient numerical propagation. CBM decisions are posed as single-threshold stopping rules acting on filtered state estimates; inspection cadence and preventive thresholds are governed by low-dimensional, saturating control laws equipped with explicit guardrails that bound short-horizon failure risk and preserve a fixed safety margin to the functional limit. The digital twin fuses noisy, discrete measurements via Kalman filtering to produce remaining-useful-life (RUL) summaries that drive real-time adaptation of both cadence and trigger. We articulate a policy taxonomy spanning four archetypes (fixed cadence/trigger (ΔT,M), adaptive cadence/fixed trigger (ΔT k ​,M), fixed cadence/adaptive trigger (ΔT,M k ​), and fully adaptive (ΔT k ​,M k ​)) and evaluate their cost–reliability trade-offs within a Monte Carlo simulation–optimization program that accounts for inspection overhead, preventive/corrective asymmetry, downtime accrual, and production alignment to build boundaries. The framework is analytically transparent, operationally implementable, and readily extensible to richer sensing and learning-based prognostics, offering a principled pathway to reliability enhancement, downtime mitigation, and lifecycle cost optimization in industrial AM.","url":"https://doi.org/10.21203/rs.3.rs-7699256/v1","authors":["khamiss cheikh","EL Mostapha Boudi","Rabi Rabi","Hamza Mokhliss","Khamiss Cheikh","El Mostapha Boudi"],"tags":["Downtime","Reliability engineering","Reliability (semiconductor)","Prognostics","Engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7699256/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1101/2025.11.14.686953","name":"Predicting Real-life Drinking Scenarios through a Physiological Digital Twin Incorporating Secondary Alcohol Markers","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.11.14.686953","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.14.686953","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202512.2257.v1","name":"Green Transportation Planning for Smart Cities: Digital Twins and Real-Time Traffic Optimization in Urban Mobility Networks","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.2257.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.2257.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202509.1378.v1","name":"Digital Twin Prospects in IoT-Based Human Movement Monitoring Model","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1378.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1378.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-6965762/v1","name":"Digital Twin for Optimizing Production Throughput via Joint Planning of Robotic Fleet and Factory Layout","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6965762/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6965762/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-6589437/v1","name":"A Flexible Framework for Developing Generic Digital Twins for Industry 4.0: Design and Validation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6589437/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6589437/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-9102556/v1","name":"The Emerging Role of Artificial Intelligence Driven Forest Carbon Integrity Systems: A Scoping Review of Methods, Risks, and Policy Implications for European Forests","source":"europepmc","abstract":"Abstract Background Forest ecosystems provide irreplaceable carbon sequestration, biodiversity, and ecosystem services, yet the integrity of forest carbon accounting — encompassing measurement, reporting, and verification (MRV) across the full forest-to-atmosphere chain — remains contested. Artificial intelligence (AI) and digital technologies offer transformative potential for improving the accuracy, transparency, and scalability of forest carbon integrity systems. Despite a proliferation of individual technical studies, no comprehensive evidence map of the field exists. This scoping review systematically maps AI-driven forest carbon integrity research across six thematic pillars (P1-P6), identifying dominant methods, technological gaps, ethical risks, and policy alignment opportunities with particular reference to European forest ecosystems and governance frameworks. Method Peer-reviewed and grey-literature studies published in English between 2015 and 2024 were examined in this review, provided that at least one of six pre-defined thematic pillars (AI/remote sensing MRV; digital twins and ecosystem modelling; carbon markets and finance; EU policy and governance; ethics and equity; cross-cutting issues) was addressed in the context of forest carbon. Systematic searches of PubMed/MEDLINE, OpenAlex, and Semantic Scholar (all spanning 2015–2024) were conducted programmatically using Python 3.12, with the final search performed in January 2025. These were supplemented by grey-literature searches executed within Web of Science and Scopus. Data were charted independently using a standardised extraction form, wherein details regarding authors, year, journal, digital object identifier (DOI), thematic pillar, AI/machine learning (ML) methods (multi-label), remote sensing data sources, carbon variables, and geographic scope were captured. Finally, quality appraisal of the included studies was performed using the Mixed Methods Appraisal Tool (MMAT). Results From an initial pool of 5,135 raw records, 200 studies were included (spanning 2015–2024; 100% open access; mean 349 citations, median 202). Artificial neural networks (ANN) were identified as the dominant AI approach ( n = 48, 24.0%), while Light Detection and Ranging (LiDAR)/Airborne Laser Scanning (ALS)/Terrestrial Laser Scanning (TLS) was observed as the predominant remote sensing modality ( n = 33, 16.5%). The domains of EU policy and governance (P4; n = 59, 29.5%) and AI/remote sensing MRV (P1; n = 53, 26.5%) were found to be the most active areas of research. European-scoped frameworks were represented by 23.5% of the studies ( n = 47), whereas a global scope was addressed by 41.0% ( n = 82). Critical gaps in reproducibility (reported by less than10% of studies) and limitations reporting (observed in less than 30% of studies) were revealed by the quality appraisal. Conclusions Although high technical maturity in biomass estimation and disturbance detection is demonstrated by AI-driven forest carbon integrity systems, persistent gaps are encountered regarding governance legitimacy, reproducibility, carbon market integration, and EU policy coherence. Consequently, a five-point research agenda is proposed, wherein priorities are placed on reproducible AI, the development of an operational European Forest Carbon Digital Twin, and the establishment of a purpose-built AI ethics framework for forest carbon.","url":"https://doi.org/10.21203/rs.3.rs-9102556/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9102556/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202510.0794.v1","name":"High‑Resolution Remote Sensing and Ecosystem Modelling for Climate‑Resilient Forests: A Review of Digital‑Twin Approaches","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.0794.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.0794.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202508.1707.v1","name":"Design of a Predictive Digital Twin System for Large-Scale Varroa Management in Honey Bee Apiaries","source":"preprints","abstract":"We present the design of a predictive digital twin for large-scale Varroa management in honey bee apiaries. The system couples a wireless sensor network for continuous hive sensing with remote actuation of treatment commands. It captures and analyzes images from beehives for automated mite detection. It also uses generative time-series models to forecast colony dynamics, reveal environmental and operational drivers, and conduct counterfactual analyses. Inter-colony spread is modeled with a statistical network model that, together with the time-series models, enables prediction and what-if evaluation of treatment strategies. The digital twin and its embedded models are updated as new measurements arrive. To address limited field data at deployment, we pretrain the models by creating synthetic datasets from bee–mite population-dynamics models and network-level spread. We also propose a dynamic monitoring strategy that adjusts surveillance intensity to current Varroa transmission conditions. Feasibility is assessed with a node-level energy budget for sensing, communication, and in-beehive treatment applicators. This digital twin forecasts infestation trajectories, supports what‑if planning, and enables timely, targeted interventions. The system improves over time through continuous online updates from field data. Overall, the results show a scalable path to real-time Varroa management across apiary networks from regional to national and cross-border scales.","url":"https://doi.org/10.20944/preprints202508.1707.v1","authors":["Shahryar Eivazzadeh","Siamak Khatibi"],"tags":["Apiary","Varroa","Honey bee","Beekeeping","Scale (ratio)"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.1707.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7552491/v1","name":"Heart Twin for Space Cardiology: Multiphysics Simulation of Hemodynamics and Remodeling in Long-Duration Missions","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7552491/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7552491/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7807793/v2","name":"WITHDRAWN: Theoretical Analyses and Performance Comparison of Physics-Based, Data-Driven, and Hybrid Models for Digital Twin Applications in Manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7807793/v2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7807793/v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202511.0801.v1","name":"Automatic (Re)Calibration Of Water Resource Recovery Facility Models To Ensure Continuous Model Performance","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202511.0801.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.0801.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202510.0034.v1","name":"Standardizing Design-Stage Digital-Twin Assets in a Smart Home for Building Data Management: Workflow Design and Validation Based on IfcGUID Compliance","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.0034.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.0034.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.12688/openreseurope.20547.2","name":"Embedded real-time analysis of continuous casting for machine-supported quality optimisation","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.20547.2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.20547.2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202509.1108.v1","name":"A Hybrid GA–Digital Twin Strategy for Real-Time Nighttime Reactive Power Compensation in Utility-Scale PV Plants","source":"preprints","abstract":"This paper proposes a hybrid strategy that integrates a Genetic Algorithm (GA) with Digital Twin (DT) technology to address the issue of nighttime reactive power backfeed in large-scale photovoltaic (PV) power plants. First, a GA is employed to optimize the location and number of multitask inverters to minimize line losses and eliminate the reactive power backfeed. Subsequently, the DT continuously monitors the grid conditions and performs a rolling dispatch of the inverter units to respond to the residual reactive power caused by the nighttime voltage fluctuations. The experimental results show that GA-based optimization reduces the line losses from 0.346 kW to 0.2818 kW, a reduction of approximately 18.6%, and helps to prevent thermal damage to the inverters. When combined with DT technology, the strategy further enhances voltage stability and demonstrates strong adaptive control capabilities. The proposed method effectively reduces the operation and maintenance costs of PV plants and shows a promising potential for practical deployment.","url":"https://doi.org/10.20944/preprints202509.1108.v1","authors":["Yu-Ming Liu","Cheng-Chien Kuo","Hung-Cheng Chen"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1108.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7671220/v1","name":"Cryobot Performance Assessment in Realistic Ice Environment with Cryotwin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7671220/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7671220/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7042220/v1","name":"The blended clinical internship model based on MOOC and digital twin technology in optometry teaching","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7042220/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7042220/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7421152/v1","name":"A dynamic geospatial digital twin resolves the riparian management paradox","source":"preprints","abstract":"Abstract The intensification of extreme rainfall under climate change amplifies fluvial geohazards, creating a critical management paradox for riparian vegetation, which is essential for bank stability yet can increase flood risks. Conventional management, reliant on static hydraulic models, fails to capture the dynamic nature of these systems. Here we show a Geospatial Digital Twin (GDT) framework that integrates high-resolution unmanned aerial vehicle imagery with a deep learning model to create a living, high-fidelity representation of a river corridor. Applied to the Yi-dong stream, South Korea, our GDT accurately segmented seasonal vegetation changes and translated them into dynamic hydraulic roughness maps. By simulating distinct management scenarios, we quantified the trade-offs between flood mitigation and geomorphic stability, revealing that a balanced strategy involving willow planting enhances stability without dramatically increasing flood risk. By providing a virtual laboratory to test management outcomes before implementation, the GDT framework offers a powerful, scalable tool for developing climate-adaptive strategies.","url":"https://doi.org/10.21203/rs.3.rs-7421152/v1","authors":["Jong-hwa Park","Jae hun Shin","Seung-Hwan Go"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7421152/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.31234/osf.io/4uqta_v1","name":"Digital Twin Brain Generating Multitask Behavior from Individual Connectome for Psychiatric Treatment Simulation","source":"preprints","abstract":"","url":"https://doi.org/10.31234/osf.io/4uqta_v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.31234/osf.io/4uqta_v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7978449/v1","name":"Theoretical Analyses and Performance Comparison of Physics-Based, Data-Driven, and Hybrid Models for Digital Twin Applications in Manufacturing","source":"europepmc","abstract":"Abstract Digital twins (DT) are increasingly important in modern manufacturing systems to extend the physical system’s capabilities and improve manufacturing key performance indicators. Nevertheless, selecting the most effective modeling approach for DT services remains challenging. While physics-based models (PBM), data-driven models (DDM), and hybrid models are all utilized within DT implementations, there is a lack of theoretical understanding regarding their comparative performance under equivalent model input conditions. This research addresses this gap by developing a structured theoretical framework that relates model quality to key input resources: domain knowledge, modeling expertise, and data quality. The framework proposes that hybrid models can systematically outperform both PBM and DDM by optimizing the knowledge-data trade-off through the synergistic integration of physical principles with pattern recognition capabilities. To validate this theoretical framework, we implement and compare all three modeling approaches in an industrial stoneware floor tile polishing case study. Results reveal a performance hierarchy: the hybrid model (R² ≈ 0.55) significantly outperforms both the pure DDM approach (R² ≈ 0.40) and the PBM (R² ≈ 0.08) while providing superior transferability to different process conditions. The case study confirms that hybrid models can extract more value from identical input resources than either pure modeling paradigm alone. In addition to such comparisons, this research provides manufacturers with practical guidance for selecting appropriate modeling strategies in DT implementations, particularly valuable in scenarios with limited data or incomplete physical understanding of complex processes.","url":"https://doi.org/10.21203/rs.3.rs-7978449/v1","authors":["Marcel Wagner","Fábio José Pinheiro Sousa","Matthias Klar","Jan C. Aurich","Fábio J. P. Sousa"],"tags":["Key (lock)","Computer science","Process (computing)","Domain (mathematical analysis)","Industrial engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7978449/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-8205043/v1","name":"Visual data-based diagnostics of regime transitions in nucleate pool boiling for next-generation digital twins","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8205043/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8205043/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202511.1203.v1","name":"Cyber Security Education by integrating Digital Twins and Generative AI","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202511.1203.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.1203.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202508.1387.v1","name":"A BIM-Driven Digital Twin Framework for Human-Robot Collaborative Construction with On-Site Scanning and Adaptive Path Planning","source":"preprints","abstract":"As the Architecture 4.0 paradigm advances, integrating robotic systems into construction workflows has become vital to address labor shortages and enhance execution precision. However, conventional BIM-based automation struggles to cope with dynamic, cluttered on-site environments. This study presents a closed-loop digital twin framework that fuses 3D BIM modeling, real-time sensor- based site scanning, and human–robot interaction to enable adaptive collaboration in architectural construction. The system continuously updates its digital twin using LiDAR and RGB-D DATA to capture spatial deviations, unexpected obstacles, and environmental changes. Based on these inputs, the robot's motion trajectories are recalculated through an online path replanning module. We validate the system using a wall panel dry-hanging case, involving a 6 degrees of freedom (6DoF) ABB robotic arm and a Unity-VR interface for immersive human supervision. Across 24 experimental runs in cluttered environments, the adaptive system achieved a 92.4% average placement accuracy, reducing positioning error by 47% compared to static BIM-based workflows. Obstacle avoidance success rate reached 95.8%, and average task completion time decreased by 18.6% due to reduced manual intervention. These results demonstrate the framework’s potential to transition construction robotics from pre-scripted automation to intelligent, real-time collaboration.","url":"https://doi.org/10.20944/preprints202508.1387.v1","authors":["Mingyang Yuan","Hedi Mao","Wen Qin","Bentian Wang"],"tags":["Motion planning","Path (computing)","Human–computer interaction","Robot","Computer science"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.1387.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1101/2025.08.17.670697","name":"Identifiability-Guided Assessment of Digital Twins in Alzheimer’s Disease Clinical Research and Care","source":"preprints","abstract":"Digital twins - personalized, data-driven computational models - are emerging as a powerful paradigm for representing and predicting disease trajectories at the individual level. These models have the potential to support diagnosis, monitor disease evolution, and evaluate therapeutic interventions in virtual settings in the context of clinical trials and patient care. Rigorous model assessment is thus critical for its implementation, but medical data are often sparse, noisy, and vary significantly across individuals, making it challenging to determine whether a digital twin optimized on such data is valid. In such settings, identifiability analysis becomes essential for evaluating whether model parameters can be reliably estimated and interpreted. To address this, we investigate how identifiability can support the clinical application of a computational causal digital twin model for Alzheimer's Disease (AD), where data sparsity and variability are particularly pronounced. Our results show that the magnitude and distribution of biomarker data influence the parameter practical identifiability, and that constraints on the model structure and parameters can significantly affect identifiability. We also observe differences in identifiability across diagnostic groups, with several parameters showing significantly different values between individuals with AD, mild cognitive impairment (MCI), and cognitively normal (CN) subjects. Uncertainty quantification for identifiable parameters and their corresponding model trajectories provides visual insight into variability in disease progression and reveals mild trends related to biomarker data spread. This study represents a first step toward incorporating identifiability techniques into clinical digital twin frameworks, using a data-driven, interpretable example based on a previously published AD model.","url":"https://doi.org/10.1101/2025.08.17.670697","authors":["J. J. Jiang","Jeffrey R. Petrella","Wenrui Hao","the Alzheimer’s Disease Neuroimaging Initiative"],"tags":["Identifiability","Disease","Psychology","Medicine","Econometrics"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.08.17.670697","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7096659/v1","name":"Light-Perception-Based Interactive Control of an Underwater Digital Twin Hand","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7096659/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7096659/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202508.0255.v1","name":"Digital Twin-Based Learning Analytics with Fog Computing and LLAMA","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.0255.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0255.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202512.0337.v1","name":"Mathematical Modeling of Elastic-Thermodynamic Interaction During Metal Turning On Metal-Cutting Machines","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.0337.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0337.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202507.2177.v1","name":"Temporal Modeling for Domain-Invariant Fault Diagnosis in Robotics Digital Twin Systems","source":"preprints","abstract":"Fault diagnosis in robotics frequently encounters obstacles due to the scarcity of labeled real-world data and the disparities between simulated and physical systems. Digital twin technology mitigates data limitations by producing simulated datasets; however, the sim-to-real gap remains a barrier to effective model generalization. This study introduces the TemporalTwinNet (TTN) framework, a novel approach designed for digital twin-supported fault diagnosis in robotics. By embedding bidirectional Long Short-Term Memory (LSTM) layers into the feature extraction process, the TTN framework adeptly captures temporal dependencies within time-series data, enhancing the alignment of simulated and real-world trajectories. Tested on an open-source robotics dataset comprising 3,600 simulated and 90 real samples, the proposed TTN achieves a real-world test precision of 86.67\\%, significantly narrowing the sim-to-real gap to 9.44\\%. Notably, the model elevates F1 scores for difficult categories, such as the healthy state (improving from 0.06 to 0.63), while sustaining strong simulation performance with a precision of 96.11\\%. Additionally, the framework integrates severity prediction, boosting its practical utility. These outcomes underscore the efficacy of temporal modeling in overcoming the sim-to-real divide, presenting a resilient solution for predictive maintenance in robotics.","url":"https://doi.org/10.20944/preprints202507.2177.v1","authors":["Pranjal Kumar"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.2177.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.21203/rs.3.rs-7390493/v1","name":"Digital Twin and Machine Learning Approaches for Renewable Energy System Optimization","source":"preprints","abstract":"Abstract This research introduced a combined digital twin and machine learning framework aimed at enhancing biofuel conversion efficiency and energy return on investment (EROI), while concurrently simulating battery degradation dynamics for sustainable energy systems. Six forecasting models were evaluated using leave-one-out cross-validation (LOOCV). In terms of conversion efficiency, linear regression delivered the highest performance (MAE = 1.22, RMSE = 1.49, R² = 0.84), whereas gradient boosting slightly enhanced predictive consistency in predicted–actual visualizations. In the case of EROI, linear regression consistently surpassed other methods (MAE = 0.21, RMSE = 0.26, R² = 0.89), demonstrating a 20–25% decrease in error relative to tree-based models. Analysis of feature importance showed that fermentation time (+ 0.47) and ethanol yield (+ 0.44) were the key predictors for conversion efficiency and EROI, whereas energy input (–0.56) had the most significant negative impact. Comparisons between actual and predicted outcomes from five experimental batches revealed average deviations of ± 1.1% for efficiency and ± 0.21 for EROI, demonstrating robust model generalization. The optimization phase of the digital twin utilized reinforcement learning alongside AutoML frameworks. Bayesian optimization provided the best results with yield increases of 28.1 L, an 18.2% boost in EROI, and a 12.2% reduction in energy consumption, reaching convergence within just 200 epochs. In contrast, deep Q-learning reached a reduced yield (26.3 L) and demonstrated a slower convergence rate (500 epochs). Complementary battery degradation modeling showed that capacity retention dropped to 82% after 300 cycles, accompanied by thermal variations reaching 45°C during discharge, highlighting the necessity for combined electrochemical-thermodynamic monitoring. In summary, the suggested framework resulted in significant improvements in yield (+ 15–18%), EROI (+ 12–18%), and energy savings (8–12%), while offering a scalable solution for sustainable bioenergy and battery management systems.","url":"https://doi.org/10.21203/rs.3.rs-7390493/v1","authors":["IDOWU OLUGBENGA ADEWUMI","Victoria Bola Oyekunle","Waheed Azeez Ajani"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7390493/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.21203/rs.3.rs-7925784/v1","name":"Developing and Validating a Sectoral Qualifications Framework for the Copper Industry: Integrating Digital and Green Competences for a Sustainable Workforce","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7925784/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7925784/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-7807793/v1","name":"WITHDRAWN: Theoretical Analyses and Performance Comparison of Physics-Based, Data-Driven, and Hybrid Models for Digital Twin Applications in Manufacturing","source":"europepmc","abstract":"Abstract Digital twins (DT) are increasingly important in modern manufacturing systems to extend the physical system’s capabilities and improve manufacturing key performance indicators. Nevertheless, selecting the most effective modeling approach for DT services remains challenging. While physics-based models (PBM), data-driven models (DDM), and hybrid models are all utilized within DT implementations, there is a lack of theoretical understanding regarding their comparative performance under equivalent model input conditions. This research addresses this gap by developing a structured theoretical framework that relates model quality to key input resources: domain knowledge, modeling expertise, and data quality. The framework proposes that hybrid models can systematically outperform both PBM and DDM by optimizing the knowledge-data trade-off through the synergistic integration of physical principles with pattern recognition capabilities. To validate this theoretical framework, we implement and compare all three modeling approaches in an industrial stoneware floor tile polishing case study. Results reveal a performance hierarchy: the hybrid model (R² ≈ 0.55) significantly outperforms both the pure DDM approach (R² ≈ 0.40) and the PBM (R² ≈ 0.08) while providing superior transferability to different process conditions. The case study confirms that hybrid models can extract more value from identical input resources than either pure modeling paradigm alone. In addition to such comparisons, this research provides manufacturers with practical guidance for selecting appropriate modeling strategies in DT implementations, particularly valuable in scenarios with limited data or incomplete physical understanding of complex processes.","url":"https://doi.org/10.21203/rs.3.rs-7807793/v1","authors":["Marcel Wagner","Fábio J. P. Sousa","Matthias Klar","Jan C. Aurich"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7807793/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202508.0708.v1","name":"AI-Powered Digital Twin Co-Simulation Framework for Climate-Adaptive Renewable Energy Grids","source":"preprints","abstract":"Climate change is accelerating the frequency and intensity of extreme weather events, posing a critical threat to the stability, efficiency, and resilience of modern renewable energy grids. In this study, we propose a modular, AI-integrated digital twin co-simulation framework that enables climate adaptive control of distributed energy resources (DERs) and storage assets in distribution networks. The framework leverages deep reinforcement learning (DDPG) agents trained within a high fidelity co-simulation environment that couples physical grid dynamics, weather disturbances, and cyber-physical control loops using HELICS middleware. Through real-time coordination of photovoltaic systems, wind turbines, battery storage, and demand side flexibility, the trained agent autonomously learns to minimize power losses, voltage violations, and load shedding under stochastic climate perturbations. Simulation results on the IEEE 33-bus radial test system augmented with ERA5 climate reanalysis data, demonstrate improvements in voltage regulation, energy efficiency, and resilience metrics. The framework also exhibits strong generalization across unseen weather scenarios and outperforms baseline rule based controls by reducing energy loss by 14.6% and improving recovery time by 19.5%. These findings position AI-integrated digital twins as a promising paradigm for future-proof, climate resilient smart grids.","url":"https://doi.org/10.20944/preprints202508.0708.v1","authors":["Kwabena Addo","Musasa Kabeya","Evans Eshiemogie Ojo"],"tags":["Renewable energy","Computer science","Grid","Environmental economics","Environmental science"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0708.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.20944/preprints202603.0604.v2","name":"Toward Intelligent and Resilient Public Safety Communications: A Comprehensive Review of FirstNet, 5G, AI, and Emerging Technologies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.0604.v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.0604.v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202602.0108.v1","name":"Multiphysics Modeling of Gearbox NVH in Electric Drivetrains: Methods, Tools, and Trends","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.0108.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0108.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-8585503/v1","name":"Optimising recovery from childhood moderate acute malnutrition: a randomized controlled trial","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8585503/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8585503/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.22541/au.176581998.82900297/v1","name":"Advances in Deep Learning for Medical Imaging: Foundations, Evolution, and Impact","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.176581998.82900297/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.176581998.82900297/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1101/2025.07.11.25331367","name":"Smartphone-Based Bioelectric Coherence Index for Mental Health Diagnostics: A Digital Twin Study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.07.11.25331367","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.07.11.25331367","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.12688/f1000research.174205.1","name":"Artificial Intelligence-Based Digital Twins Metaverse to Improve STEM Work Skills and Adaptive Expertise in Higher Education: A Conceptual Framework","source":"preprints","abstract":"Rapid advances in Artificial Intelligence (AI), Digital Twin (DT) technology, and the Metaverse have created new opportunities for transforming STEM education and workforce preparation. However, existing learning systems remain fragmented and lack an integrated, human-centered framework capable of supporting high-fidelity simulations, adaptive learning, and real-time competence development aligned with Industry 5.0. This study addresses this gap by developing a unified AI-Based Digital Twins Metaverse (AI-DTM) framework aimed at strengthening STEM employability skills and fostering adaptive expertise in higher education. This research employed a conceptual–analytical design comprising three structured phases: (1) a systematic conceptual synthesis guided by PRISMA 2020 to identify technological, pedagogical, and human-centric mechanisms relevant to AI, DTs, and Metaverse-based learning; (2) construction of an integrated AI-DTM framework through theoretical mapping, concept modeling, and iterative refinement; and (3) expert validation involving specialists in AI systems, digital twins, immersive learning, and instructional design. Evidence from interdisciplinary literature across AI-enhanced learning, DT-enabled simulation, and XR-based experiential environments informed the development of the framework. The resulting AI-DTM framework integrates AI-driven learner modeling, real-time DT simulations, and immersive Metaverse environments to create a unified, adaptive ecosystem. Key outcomes include: (a) personalized learning pathways supported by intelligent analytics and automated feedback; (b) high-fidelity, risk-free simulations that replicate authentic STEM work processes; (c) immersive and collaborative virtual experiences that enhance engagement, problem-solving, and teamwork; and (d) continuous competence profiling enabling the development of adaptive expertise. The framework demonstrates strong alignment with Industry 5.0 principles, supporting human–AI collaboration, data-driven decision-making, and future workforce readiness. This study provides a novel, scalable model that advances the design of AI-enabled learning ecosystems by integrating AI, Digital Twins, and Metaverse technologies into a cohesive architecture. The AI-DTM framework offers theoretical and practical contributions for enhancing STEM employability skills, strengthening adaptive expertise, and guiding institutions.","url":"https://doi.org/10.12688/f1000research.174205.1","authors":["Syarifuddin Syarifuddin","Titus Kurra","Aris Susanto","Hendra Dani Saputra","Marko Ayaki Lumbantobing","Ratna Pancawati","Karlina Wong Lieung","Andry Ananda Putra Tanggu Mara"],"tags":["Metaverse","Conceptual framework","Computer science","Experiential learning","Competence (human resources)"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/f1000research.174205.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"doi:10.22541/au.176297740.03970278/v1","name":"Supply Chain Triangulation: A Digital-Resilience Architecture Across Nodes, Data, and Analytics","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.176297740.03970278/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.176297740.03970278/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.12688/openreseurope.21096.2","name":"Mapping immersive digital tools in the ICT4Water Cluster: innovation, interoperability and impact.","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.21096.2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.21096.2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-7282316/v1","name":"Transmedia Storytelling and Community Consciousness Construction of Grand Canal Intangible Cultural Heritage in Digital Twin Scenarios","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7282316/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7282316/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202602.0931.v1","name":"Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0931.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0931.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1101/2025.10.10.25337766","name":"A Generative Patient Digital Twin for Sequential Treatment of Oropharyngeal Squamous Carcinomas","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.10.25337766","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.10.25337766","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-6932705/v1","name":"Digital Twin based Sorting Optimization for Parcel Distribution Centers in Logistics Networks","source":"preprints","abstract":"Abstract Parcel distribution centers (PDCs) in logistics networks aim to efficiently sort the inbound parcels for downstream destinations via a parcel-sorting system (PSS), by which the parcels are diverted to the assigned grids and packed into bins for outbound truck deliveries. Considering the dynamic parcel movements, random packing behaviors, and conveyor system congestion, maximizing the sorting throughput by assigning grids to parcel destinations presents significant computational challenges. This work establishes the first high fidelity parcel-sorting digital twin system (PSDTS) implemented on an industrial scale that models the real-time interactions among parcels, sorters, and packers, and simulates the throughput performance under a specific sorting plan. Then, to address the computational challenges and operational constraints in PSS, a digital twin-based structured Monte Carlo tree search (DT-SMCTS) framework, combining integer nonlinear programming and geographic destination graph networks, is proposed to optimize the sorting plan. The proposed PSDTS and DT-SMCTS have been widely deployed in 146 PDCs (approximately 30% of all SF Express PDCs in China), and the effectiveness is demonstrated through both the DT numerical results and field experiments: The proposed DT-SMCTS framework increases the average and peak sorting throughputs by 10.56% and 7.72%, respectively, and reduces the number of sorted parcels that require multiple conveyor cycles by 60.81%.","url":"https://doi.org/10.21203/rs.3.rs-6932705/v1","authors":["Chuan Huang","Wei Zhang","Ran Li","Yuanming Tian","Renming Liu","Boqun Huang","Le Liao","Xiang Song","Xiaoqi Qin","Han Zhang","Shuguang Cui"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6932705/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.20944/preprints202507.0172.v2","name":"Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study","source":"preprints","abstract":"The convergence of operational technology (OT) and information technology (IT) n industrial environments, such as water treatment plants, has significantly increased the attack surface of Supervisory Control and Data Acquisition (SCADA) systems. Traditional intrusion detection systems (IDS) that focus solely on network traffic are often ineffective against stealthy, process-level attacks. This paper proposes a Digital Twin-driven Intrusion Detection (DT-ID) framework that integrates high-fidelity process simulation, real-time sensor modeling, adversarial attack injection, and hybrid anomaly detection using both physical residuals and machine learning. We evaluate the DT-ID framework using a simulated water treatment plant environment, testing against false data injection (FDI), denial-ofservice (DoS), and command injection attacks. The system achieves a detection F1-score of 96.3%, a false positive rate below 2.5%, and an average detection latency under 500 milliseconds, demonstrating substantial improvement over conventional rule-based and physics-only IDS in identifying stealthy anomalies. Our findings highlight the potential of cyber-physical digital twins to enhance SCADA security in critical infrastructure. In the following sections, we present the motivation and approach underlying this framework.","url":"https://doi.org/10.20944/preprints202507.0172.v2","authors":["Ali Sayghe"],"tags":["SCADA","Cyber-physical system","Intrusion detection system","Intrusion","Computer security"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0172.v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.20944/preprints202508.0121.v1","name":"GIANT: AI- and Digital Twin-Based Framework for Proactive and Energy-Efficient Resource Management in HPC Datacenters","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.0121.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0121.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202506.0739.v1","name":"Twin Transition: Digital Transformation Pathways for Sustainable Innovation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0739.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.0739.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1101/2025.09.29.679252","name":"Single-cell-level digital twins for preterm birth prevention strategies","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.09.29.679252","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.09.29.679252","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.32388/7afxp3.2","name":"Next-Generation Space Cardiology: Developing a COMSOL-Enabled Digital Heart Twin for Long-Duration Missions","source":"preprints","abstract":"","url":"https://doi.org/10.32388/7afxp3.2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.32388/7afxp3.2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.1101/2025.07.21.666059","name":"Forecasting Urban Wastewater Microbiome Dynamics Using a Digital Twin Framework","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.07.21.666059","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.07.21.666059","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.21203/rs.3.rs-6651594/v1","name":"Research on digital twin diagnosis model for the thermal-electric field of high-voltage switchgears","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6651594/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6651594/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.191Z"},{"id":"doi:10.20944/preprints202506.1264.v1","name":"A Digital Twin of Glimepiride for Personalized and Stratified Diabetes Treatment","source":"preprints","abstract":"Optimizing glimepiride therapy for type 2 diabetes (T2DM) is challenged by pronounced inter-individual variability in pharmacokinetics. To address this, we developed a whole-body physiologically based pharmacokinetic (PBPK) model as a digital twin of glimepiride. This model enables systematic evaluation of how patient-specific factors influence glimepiride disposition, supporting both personalized and stratified treatment approaches. Using curated data from 19 clinical studies, the digital twin was developed to mechanistically simulate glimepiride’s absorption, distribution, metabolism, and excretion (ADME). It accounts for key determinants of patient variability, such as renal and hepatic function, cytochrome P450 2C9 (CYP2C9) genotype, and bodyweight. The model accurately reproduced observed pharmacokinetics and quantified the impact of these factors on drug exposure. For instance, increased glimepiride exposure was predicted in individuals with hepatic dysfunction or specific CYP2C9 variants, highlighting substantial genetic and physiological effects. This digital twin offers mechanistic insights into pharmacokinetic variability and serves as a robust in silico platform for exploring individualized dosing scenarios and patient stratification strategies, laying the foundation for advanced clinical decision support tools to improve T2DM management.","url":"https://doi.org/10.20944/preprints202506.1264.v1","authors":["Michelle Elias","Matthias König"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.1264.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.12688/openreseurope.20392.1","name":"Developing a digital twin for the ammonia fuelling system structure: A systems approach","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.20392.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.20392.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202512.2371.v1","name":"Beyond Compliance: A Techno-Geopolitical Framework for Scalable AI Resilience in Critical Infrastructure Along the NATO-EU Eastern Flank","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.2371.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.2371.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6978024/v1","name":"A Hybrid Metaheuristic Approach for Multi-Objective Load Balancing in Digital Twin-Enabled Cloud Environment","source":"preprints","abstract":"Abstract The rapid growth of digital twin services is pushing computational resources requirements to unprecedented levels. While cloud computing provides the scalable infrastructure needed to support these computational demands. However, the critical challenge lies in intelligently distributing workloads across distributed cloud environments through advanced load balancing techniques, where traditional deterministic approaches struggle to find optimal solutions within polynomial time. Therefore, addressing such challenges this paper proposes an efficient service placement approach based on Modified Cuckoo Search Optimization called CSOT-PM to optimize dynamic resource allocation in cloud computing which supporting digital twin services. The proposed work is benchmarked against established algorithms like the Genetic Algorithm (GA) and Ant Colony Optimization (ACO), using performance metrics such as makespan time, resource utilization, energy consumption, and Service Level Agreement (SLA) violations. The proposed algorithm achieves a 30% reduction in energy consumption and an 11% improvement in SLA.","url":"https://doi.org/10.21203/rs.3.rs-6978024/v1","authors":["Anand Mishra","Rahul Yadav","Prabhjot Kaur","Shubham Gargrish","Mukund Pratap Singh","Hardeo Kumar Thakur","Tarun Kumar Gupta","Shiv Prakash","Anand Muni Mishra"],"tags":["Cloud computing","Metaheuristic","Computer science","Load balancing (electrical power)","Distributed computing"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6978024/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.21203/rs.3.rs-7463498/v1","name":"Generating Millions Of Transport Scenarios From A Large Scale Digital Twin","source":"preprints","abstract":"Abstract In the development of city planning since the middle of the last century, there have been severe difficulties in generating enough plans to test largely because computational methods have not been available to generate a systematic evaluation of their performance. Plans have been too big to test and too small in numbers of alternatives to make meaningful comparisons. However, we have almost reached the point with the advent of big data and massive computer memories where we can break through these barriers and begin to test an order of magnitude greater numbers of plans then hitherto. In this paper, we demonstrate how we are able to compare a multitude of simple alternatives, by increasing the speeds of travel on the shortest links which define complex transportation networks, exploring whether or not small changes in big networks generate better carbon reductions than bigger changes in similar networks. We are able to show that in many cases, this is the case: small changes lead to better plans than big changes. We argue that once we are able explore a wide range of alternatives, we are likely to come across many counterintuitive and counterfactual results that need to be considered in many varieties of city planning.","url":"https://doi.org/10.21203/rs.3.rs-7463498/v1","authors":["Richard Milton","Michael Batty","Xinyi Liu","Yuet Yung Lung"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7463498/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.20944/preprints202511.1649.v1","name":"A Review on Machine Learning Applications in Chance-Constrained Power System Optimization","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202511.1649.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202511.1649.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202507.1502.v1","name":"Application of Digital Twin Technology in Smart Agriculture: A Bibliometric Review","source":"preprints","abstract":"Digital twin technology is reshaping modern agriculture. Digital twins are the virtual replicas of real-world farming systems, which are continuously updated with real-time data, and are revolutionizing the monitoring, simulation, and optimization of agricultural processes. The literature on agricultural digital twins is multidisciplinary, growing rapidly, and often fragmented across disciplines, which lacks well-curated documentation. A bibliometric analysis includes thematic content analysis and science mapping, which provides research trends, gaps, thematic landscape, and key contributors in this continuously evolving and emerging field. Therefore, in this study, we conducted a bibliometric review that included collecting bibliometric data via keyword search strategies on popular scientific databases. The data was further screened, processed, analyzed, and visualized using bibliometric tools to map research trends, landscapes, collaborations, and themes. Key findings show that publications have grown exponentially since 2018, with an annual growth rate of 27.2%. The major contributing countries were China, the USA, the Netherlands, Germany, and India. We observed a collaboration network with distinct geographic clusters, with strong intra-European ties and more localized efforts in China and the USA. The analysis identified seven major research theme clusters revolving around precision farming, Internet of Things integration, artificial intelligence, cyber-physical systems, controlled-environment agriculture, sustainability, and food system applications. We observed that core technologies, such as sensors, artificial intelligence, and data analytics, have been extensively explored, while identifying gaps in research areas. The emerging interests include climate resilience, renewable-energy integration, and supply-chain optimization. The observed transition from task-specific tools to integrated, system-level approaches underline the growing need for adaptive, data-driven decision support. By outlining research trends and identifying strategic research gaps, this review offers insights into leveraging digital twins to improve productivity, sustainability, and resilience in global agriculture.","url":"https://doi.org/10.20944/preprints202507.1502.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.1502.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202510.0510.v1","name":"Musculoskeletal Digital Therapeutics and Digital Health Rehabilitation: A Global Paradigm Shift in Orthopaedic Care","source":"preprints","abstract":"Musculoskeletal disorders (MSDs) affect over 1.7 billion people globally and rep-resent the leading cause of disability worldwide. Conventional rehabilitation strate-gies face challenges including limited accessibility, suboptimal adherence, and lack of personalization. Digital therapeutics (DTx)—evidence-based, software-driven interventions regulated as medical devices—have emerged as transformative solu-tions in chronic disease management. This comprehensive review synthesizes current knowledge on musculoskeletal DTx and digital health rehabilitation across ortho-paedic subspecialties. We describe core enabling technologies including artificial intelligence-driven motion analysis, wearable sensors, tele-rehabilitation platforms, and cloud-based ecosystems. Clinical applications spanning spine, upper and lower extremities, sports injuries, and trauma are examined alongside global regulatory frameworks, economic considerations, and implementation challenges. Early clinical evidence demonstrates improvements in functional outcomes, adherence, and cost-effectiveness. Future directions include digital twin technologies, predictive analytics, and integration with precision orthopaedics. By establishing a compre-hensive framework for musculoskeletal DTx implementation, this review highlights their potential to improve outcomes, reduce healthcare costs, and address global rehabilitation access gaps.","url":"https://doi.org/10.20944/preprints202510.0510.v1","authors":["Youn Kyu Lee","Tae Hyung Kim","Jong Ho Kim"],"tags":["Digital health","Psychological intervention","Rehabilitation","Paradigm shift","Medicine"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.0510.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"doi:10.12688/openreseurope.20547.1","name":"Embedded real-time analysis of continuous casting for machine-supported quality optimisation","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.20547.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.20547.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-8006874/v1","name":"Genotype-specific Digital Twins for Arrhythmia Ablation Targeting in Arrhythmogenic Right Ventricular Cardiomyopathy","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8006874/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8006874/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202507.0172.v1","name":"Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.0172.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0172.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.32388/7afxp3","name":"Next-Generation Space Cardiology: Developing a COMSOL-Enabled Digital Heart Twin for Long-Duration Missions","source":"preprints","abstract":"","url":"https://doi.org/10.32388/7afxp3","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.32388/7afxp3","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202512.0586.v2","name":"Metal Additive Manufacturing Defect Formation and Mitigation: Shrinkage Dynamics, Porosity Control, In-Situ Monitoring, and Post-Processing Strategies","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0586.v2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0586.v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-6976156/v1","name":"A Systematic Review on the Current Research of Digital Twin in Power Equipment","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6976156/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6976156/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202507.0731.v1","name":"Digital Twinning Mechanism and Building Information Modeling for a Smart Parking Management System","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.0731.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0731.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202512.1625.v1","name":"BLUE Building: A Next-Generation Paradigm for Spatial Intelligence","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.1625.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.1625.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202508.0784.v1","name":"Tunnel Rapid AI Classification (TRaiC): An Open-Source Code for 360° Tunnel Face Mapping, Discontinuity Analysis, and RAG-LLM Powered Geo-Engineering Reporting","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.0784.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0784.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.12688/openreseurope.21096.1","name":"Mapping immersive digital tools in the ICT4Water Cluster: innovation, interoperability and impact.","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.21096.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.21096.1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6551537/v1","name":"Process monitoring and quality prediction system of GMAW robot welding based on digital twin","source":"preprints","abstract":"Abstract In the process of gas metal arc welding (GMAW), it is essential to ensure the quality of the weld seam. Traditional quality control methods suffer from latency and insufficient intelligence. To address these limitations, a process monitoring and quality prediction system of GMAW robot welding based on digital twin is proposed. Firstly, a five-dimensional model framework based on digital twin is proposed, and the construction process of the system is elaborated in detail. Then, a data management process based on the data-driven method is designed, and a digital twin model of robot welding is constructed, which integrates sensor data to achieve dynamic simulation and real-time process monitoring of robot welding. Besides, a quality prediction model based on BP neural network optimized by genetic algorithm is established, and the quality is quantified in combination with an evaluation mechanism. Finally, the GMAW system, grounded in the digital twin concept and integrating the physical platform with virtual model, has been developed and experimentally validated. The experimental results demonstrate that the system is highly practical, providing an effective solution for the real-time monitoring and prediction of welding quality.","url":"https://doi.org/10.21203/rs.3.rs-6551537/v1","authors":["Xianhua Tan","Ke Liu","Yongcheng Lin","Mingsong Chen","Guanqiang Wang","He Zeng"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6551537/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7721890/v1","name":"Case study report on design, manufacturing and digital twinning of a DED-arc steel node for construction","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7721890/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7721890/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202508.0328.v1","name":"Navigating Sustainability in Pharma 5.0: The Role of Digital Twins in a Responsible Future","source":"europepmc","abstract":"Sustainability has become an essential priority across industries, as organizations grapple with the need to reduce environmental impact, conserve resources, and adapt to evolving regulations. In the pharmaceutical sector, the urgency of these demands is particularly acute, given the industry’s substantial energy use, resource consumption, and waste production. Meeting sustainability goals requires innovative approaches that can address these specific challenges. Digital Twin Technology (DTT) emerges as a powerful tool in this context, providing pharmaceutical manufacturers with a comprehensive solution to monitor, simulate, and optimize production processes in real-time. This article explores the transformative impact of Digital Twin Technology (DTT) in fostering sustainable manufacturing within the pharmaceutical industry. It provides an in-depth analysis of how DTT facilitates substantial reductions in material waste, improves energy efficiency, and enables predictive maintenance, thereby optimizing both environmental and operational performance. Drawing on real-time data integration, simulation modeling, and intelligent analytics, the study demonstrates how DTT enhances decision-making, ensures process stability, and minimizes production inefficiencies. A key contribution of this paper is the development of a structured framework that links core DTT functionalities to specific sustainability metrics, including carbon footprint reduction, resource optimization, and lifecycle performance improvement. Furthermore, the paper introduces novel use cases and data-driven strategies for applying DTT in pharmaceutical manufacturing environments, supported by case studies and empirical evidence. It also addresses the challenges of implementation, such as data interoperability, infrastructure requirements, and integration with legacy systems, providing actionable recommendations for overcoming these barriers. By aligning DTT applications with global sustainability agendas such as the UN Sustainable Development Goals (SDGs), this research positions DTT not only as a tool for operational excellence but also as a strategic enabler of environmental stewardship and industry resilience. Ultimately, the paper offers a practical and forward-looking perspective for industry stakeholders seeking to transition towards greener, smarter manufacturing paradigms.","url":"https://doi.org/10.20944/preprints202508.0328.v1","authors":["Atif Ali","Syed Adnan Ali","Nawal Zaheer"],"tags":["Sustainability","Business","Biology","Ecology"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0328.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202509.0994.v1","name":"Cybersecurity in Digital Twins and AI: An Intelligent Framework for Proactive Threat Detection and Response","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.0994.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.0994.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202507.0062.v1","name":"Raspberry Pi in Industry 4.0: A Comprehensive Review of Applications in Industrial IoT and Digital Twin Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202507.0062.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0062.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202512.0586.v1","name":"Metal Additive Manufacturing Defect Formation and Mitigation: Shrinkage Dynamics, Porosity Control, In-Situ Monitoring, and Post-Processing Strategies","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0586.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0586.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202509.1360.v1","name":"Physics-Informed Machine Learning for Intelligent Gas Turbine Digital Twins: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1360.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1360.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-7875300/v1","name":"Smart Buildings meet the Metaverse: A Prototype for Predictive and Ecologically Intelligent Management","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7875300/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7875300/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202512.0592.v1","name":"Agentic AI: A Review, Applications, and Open Research Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202512.0592.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202512.0592.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1101/2025.11.24.690184","name":"Micellangelo: a Generative Model of Cell-Topography Interactions","source":"preprints","abstract":"Understanding how materials influence cell behavior is central to biomaterial engineering, yet experimental approaches are limited by throughput and complexity. Here, we present Micellangelo, a generative AI model that simulates high-resolution fluorescence images of cells cultured on micro-topographical surfaces. By conditioning on surface topographies, Micellangelo generates realistic cell morphologies, enabling in silico exploration of cell–material interactions. We fabricated a dataset of human dermal fibroblasts stained for DNA, F-actin, and the mechanosensitive transcription factor YAP across ten distinct topographies. Micellangelo was trained using the flow matching framework, and demonstrated strong visual and quantitative alignment with real microscopy data in terms of morphology, intensity patterns, and mechanotransductive features. Beyond image generation, we demonstrate two proof-of-concept in silico experiments: tuning the strength of topographical conditioning and perturbing subcellular structures to assess phenotypic consequences. The model captures both topography-induced morphological trends and structure–function relationships such as actin–YAP coupling. These results suggest that Micellangelo functions as a digital twin of experimental cell imaging, taking a step towards a scalable platform for hypothesis generation, virtual screening, and design of biomaterial interfaces. This work bridges the fields of biomaterials and generative modeling, and introduces a generalizable framework for conducting biologically meaningful in silico experiments.","url":"https://doi.org/10.1101/2025.11.24.690184","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.24.690184","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.22541/au.175138833.33586068/v1","name":"Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse Synergies","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.175138833.33586068/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.175138833.33586068/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-10205234/v1","name":"Mapping the healthy aging heart: a normative electrophysiological digital twin atlas for pathological remodeling assessment","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10205234/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10205234/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.21203/rs.3.rs-6538597/v1","name":"Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6538597/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6538597/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7377871/v1","name":"AI-Augmented FEA for Offshore Wind Turbine Equipment: A State-of-the-Art Methodology for Accelerated Fabrication Review","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7377871/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7377871/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-6839498/v1","name":"A Technology Readiness Assessment Approach for Digital Twin Implementation in Smes","source":"preprints","abstract":"Abstract Small and medium-sized enterprises (SMEs) face persistent challenges in adopting digital twin (DT) technologies due to limited resources and low digital maturity. In this research, the SME Smart Technology Readiness Assessment (SSTRA) method is adapted specifically for DT implementation and suggest a hierarchical taxonomy of three fundamental dimensions: Real-time monitoring, predictive simulation and analytics, and system integration. The research contribution lies in extending SSTRA with DT-specific criteria, such as predictive modeling and data interoperability, generally absent in general readiness models. In order to rank the most important factors for DT readiness, evaluation weights were computed using the Analytic Hierarchy Process (AHP), using the inputs from 35 academic and industry experts in the field. The framework was validated through expert-led workshops and comparative benchmarking of 18 enabling technologies, scored against established best practices. A Brazilian textile SME case study had a readiness index of R = 1.06, which categorized it as a \"Beginner\" level. Strengths were found in data visualization and key gaps were identified in simulation capability and interoperability infrastructure. The model assisted in decision-making for infrastructure improvement and phased DT roadmap implementation. Unlike more general readiness models, this is an implementable and scalable way forward for SMEs attempting digital transformation within constrained circumstances","url":"https://doi.org/10.21203/rs.3.rs-6839498/v1","authors":["Stefano Larmelina","ALESSANDRO LUCAS DA SILVA","Lucas RIsso"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6839498/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.20944/preprints202508.0883.v1","name":"Secure Cloud‑Streaming Digital Twin (SCSDT): A Cloud‑First Metaverse Architecture for Industrial Training","source":"preprints","abstract":"Traditional extended reality (XR) training faces a fundamental trade-off: high-fidelity, in-situ VR solutions offer superior pedagogical outcomes but are limited by expensive, resource-intensive hardware, while web-based alternatives sacrifice immersion for scalability. This research addresses this gap by presenting a novel architecture that delivers immersive XR training with operational efficiency. We introduce SCSDT, a threelayer architecture that fuses cloudGPU streamed metaverse delivery, zerotrust provisioning, and adaptive digitaltwin orchestration. Demonstrated on aviationmaintenance and industrialcyberrange pilots, SCSDT cuts VM provisioning time by an order of magnitude and reduces perlearner power draw by ≈60 %. Repeated-measures ANOVA on a cohort of six technicians over five instructional iterations shows a very large competencegap reduction (η²ₚ = 0.91, p < 0.0001). Our empirical evaluation showed a provisioning speed-up of 12.8× and a 62% energy reduction per learner, with statistically robust learning gains evident across iterations. The system operates over a single HTTPS port and streams at just 200–500 kB/s, enabling widespread access even on LTE links. By inheriting the pedagogical richness of in-situ VR while matching the operational efficiency of web-based labs, SCSDT delivers a superior cost–benefit ratio for enterprise training and successfully answers our research question.","url":"https://doi.org/10.20944/preprints202508.0883.v1","authors":["Mihalache Ghinea","Gicu Călin Deac","Radu Ivanescu","Crina Narcisa Deac","George Antoniu Deac"],"tags":["Cloud computing","Metaverse","Computer science","Architecture","Human–computer interaction"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.0883.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"doi:10.20944/preprints202510.2191.v1","name":"Adaptive Control and Interoperability Frameworks for Wind Power Plant Integration: A Comprehensive Review of Strategies, Standards, and Real-Time Validation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.2191.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.2191.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202506.2041.v1","name":"Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration","source":"europepmc","abstract":"The integration of machine learning (ML) into industrial automation is fundamentally reshaping how manufacturing systems are monitored, inspected, and optimized. This review explores the transformative role of ML across three key domains: Predictive Maintenance (PdM), Quality Control (QC), and Process Optimization (PO). By applying machine learning to real-time sensor data and operational histories, advanced models enable proactive fault prediction, intelligent inspection, and dynamic process control—directly enhancing system reliability, product quality, and efficiency. This review also analyzes how Digital Twin (DT) and Edge AI technologies are being leveraged to address domain-specific challenges in Predictive Maintenance (PdM), Quality Control (QC), and Process Optimization (PO). DTs enable virtual replication and simulation of industrial systems, supporting predictive analytics and optimization in low-risk environments. Meanwhile, Edge AI supports low-latency, on-device inference, allowing ML models to operate in real time, even in bandwidth-constrained or cloud-independent settings. Together, these technologies are expanding the practical impact of ML across industrial automation tasks. The paper also catalogs the datasets used, the tools and sensors employed for data collection, and the industrial software platforms supporting ML deployment in practice. It positions ML, DT, and Edge AI as central to the evolution of intelligent and connected manufacturing systems.","url":"https://doi.org/10.20944/preprints202506.2041.v1","authors":["Mohammad Abidur Rahman","Md Farhan Shahrior","Kamran Iqbal","Ali Abushaiba"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.2041.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.64898/2025.11.28.690060","name":"MOSAIC: A scalable framework for fMRI dataset aggregation and modeling of human vision","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2025.11.28.690060","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.11.28.690060","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.10.02.679947","name":"Systematic data-driven genome-scale metabolic model reduction for dynamic bioprocess modeling: CHO cell culture case study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.02.679947","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.02.679947","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202506.0338.v1","name":"A Digital Twin Model for an Integrated In-Situ Production and Yard-Stock Optimization of Precast Concrete Components Leveraging BIM Technology","source":"preprints","abstract":"Digital Twin (DT) technology has become a cornerstone of data-driven decision-making in the construction industry through its simulation and predictive capabilities. The integration of Building Information Modeling (BIM) and DT forms a closed-loop system that delivers dynamic operational insights, including predictive maintenance, performance tracking, and risk assessment. This study introduces a BIM-enabled DT framework designed to optimize in-situ production and stockyard management of precast concrete (PC) components. Utilizing the Oracle Crystal Ball simulation tool, probabilistic scheduling and CO₂ emissions optimization were conducted. Results showed potential reductions exceeding 10% in project duration and up to 8.7% in environmental impact. The framework was validated through application to a large-scale logistics warehouse project, providing practical insights for sustainable construction planning.","url":"https://doi.org/10.20944/preprints202506.0338.v1","authors":["Junyoung Park","Jeeyoung Lim","Sunkuk Kim"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.0338.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.07.17.25331695","name":"Exploring innovative G-CSF schedules in AML cytarabine-based consolidation through a digital twin study of white blood cell recovery","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.07.17.25331695","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.07.17.25331695","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202510.0549.v1","name":"Smart Buildings Meet the Metaverse: A Prototype for Predictive and Ecologically Intelligent Management","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.0549.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.0549.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.22541/au.174584385.53694856/v1","name":"Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology","source":"preprints","abstract":"In order to solve the problem of safety accidents, such as the overturning of the traction walking plate and the jumping of subconductors, during the construction process of transmission line tension framing, because the construction personnel cannot fully monitor the key state quantities of the traction walking plate, a multi-parameter intelligent monitoring system for the traction walking plate based on the digital twin technology is developed. In the selection of twin data, based on the analysis of the risk points of the traction walking plate, the subconductor tension, tilt angle and spatial position of the traction walking plate are selected as the twin data. For the mapping of the twin data, the grid information model (GIM) and building information model (BIM) are used as the basis to establish a refined engineering structure model, which accurately reflects the geometry and mechanical properties of the traction slab. Finally, the connection design of twin data, hardware design, equipment data layer design and twin service type are designed in 3 parts, and the improved isolated forest algorithm is adopted as the twin service layer of the monitoring system.","url":"https://doi.org/10.22541/au.174584385.53694856/v1","authors":["弛 张","Xiangbiao Leng","Xiaobin Li","longbin zhang"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.174584385.53694856/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.21203/rs.3.rs-6070841/v1","name":"Microclimate Simulations Reveal the Potential of Multifunctional Green Infrastructure for Urban Heat Mitigation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6070841/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6070841/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.11.24.690225","name":"In search for the invisible: motor inhibition in monkey premotor cortex and its RNN replicas","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.11.24.690225","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.24.690225","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202509.0180.v1","name":"Enhancing Scientific Communication and Institutional Identity through a Retrieval-Augmented Generation Digital Personal Tutor","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.0180.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.0180.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.31234/osf.io/me4xf_v1","name":"The Psychology of Spiritual Relationships: Attachment, Fantasy Bonds, and Emotional Dependency in Twin Flame Beliefs","source":"preprints","abstract":"","url":"https://doi.org/10.31234/osf.io/me4xf_v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.31234/osf.io/me4xf_v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6921585/v1","name":"Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6921585/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6921585/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-3685357/v2","name":"RETRACTED: Digital Twin-Assisted Vehicles Edge Network Computing Offloading Scheme","source":"preprints","abstract":"Abstract The authors have requested that this preprint be removed from Research Square.","url":"https://doi.org/10.21203/rs.3.rs-3685357/v2","authors":["Zheng Yao","Qiwu Zhu","Pengjie Qin"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-3685357/v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.20944/preprints202509.1447.v1","name":"Federated Learning for Power Cyber-Physical Systems: Toward Secure, Resilient, and Explainable Intelligence","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1447.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1447.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202508.1120.v2","name":"Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives","source":"europepmc","abstract":"Industrial scheduling remains a pivotal discipline for efficiency, resilience, and competitiveness in manufacturing and service operations. The digital transformation, driven by paradigms such as Industry 4.0, has fundamentally reshaped the scheduling landscape, introducing pervasive connectivity, real-time data flows, and cyber-physical integration. This review synthesizes advances across three enduring challenges: (i) scalability and computational complexity in large-scale, high-dimensional scheduling environments, (ii) robustness and adaptability to uncertainty and disruptions, and (iii) integration with digitalization through IIoT, digital twins, cloud–edge architectures, and interoperable, secure infrastructures. We highlight the surge of AI-enhanced and deep learning–driven methods that are redefining state-of-the-art practice. Deep reinforcement learning (DRL) now underpins policy learning for dynamic dispatching and rescheduling; graph neural networks (GNNs) and attention models enable generalization across diverse shop configurations; and digital twin–in-the-loop frameworks provide safe training and rapid adaptation under real-world volatility. At the same time, neural architectures are increasingly embedded within decomposition, metaheuristics, and multi-agent systems—forming hybrid stacks that combine the guarantees of operations research with the adaptability of learning-based approaches. The industrial impact of these developments is evident across semiconductor fabrication, flexible job shops, supply-chain–intensive production, and distributed, autonomous networks. Yet critical challenges persist in interpretability, trust, data quality, and legacy integration. To advance, future research must prioritize explainable and certifiable neural schedulers, standardized datasets and benchmarks, seamless AI–IoT–DT integration, federated and privacy-preserving collaboration, and human-in-the-loop frameworks. Collectively, these directions chart a path toward scheduling systems that are not only more efficient and scalable, but also transparent, secure, and resilient in the digital, interconnected era.","url":"https://doi.org/10.20944/preprints202508.1120.v2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202508.1120.v2","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-7900794/v1","name":"Dynamic modeling and simulation of mass, momentum, and energy transport in a single-screw plastic extrusion process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7900794/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7900794/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6283975/v1","name":"Investigation on digital twin of the ultraprecision machining system for manufacturing freeform surfaced components","source":"europepmc","abstract":"Abstract Digital Twin (DT) is widely regarded as the future for advanced engineering manufacture, addresses the critical challenge for continuous improvement and optimization of manufacturing systems through real-time machining process monitoring, in-process diagnosis and dynamic process optimization, and digital and physical data fusion for higher manufacturing precision. Therefore, developing a DT for the ultraprecision manufacturing (UPM) system is inevitably essential for future generation UPM systems and machines. In this paper, an investigation on digital twin of the ultraprecision machining system and its implementation perspectives are presented particularly against the ever-increasing demand for higher precision machining accuracy, e.g. the increasingly more stringent requirement in manufacturing freeform surfaced components and devices. The investigation is focused on the kinematics and dynamics modelling of the machining system (as the foundation of the DT development), the DT implementation, and the application case study, which reflects the innovative attempt on seamless integration of ultraprecision machining fundamentals, innovative development of applied DT technology, and high value ultraprecision applications. Design, manufacturing and control, combined with computationally efficient DT design and optimization algorithms will lead to the higher form/dimensional accuracy and finer surface roughness of the ultraprecision components/parts, in a competitive and promising industrial manner.","url":"https://doi.org/10.21203/rs.3.rs-6283975/v1","authors":["Qiao Xuetao","Wang Yibo","Ning Gou","Kai Cheng","Dehong Huo","Zhao Zengxiao"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6283975/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-6287015/v1","name":"Digital twin-based tool wear monitoring of micro-milling process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6287015/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6287015/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202507.1943.v1","name":"Bioinspired NeuroPods: AI-Enhanced 4D Composite Bioprinting Revolutionizing Brain-on-Chip and Neural Regeneration","source":"europepmc","abstract":"Effective neural regeneration and realistic brain-on-a-chip platforms demand transformative methodologies capable of dynamically adapting their mechanical, electrical, and biochemical environments in synchrony with resident neural tissues. Recent innovations in bioinspired four-dimensional (4D) composite bioprinting integrated with artificial intelligence (AI) present a sophisticated solution to bridge the persistent gap between conventional static neural models and the complex, evolving architecture of the mammalian brain. Bioinspired NeuroPods, which leverage composite biomaterials with stimuli-responsive and shape-memory capabilities, provide precisely orchestrated mechanical cues, electrical conductivity, and biochemical gradients tailored to mimic the hierarchical structures of the brain, including cortical lamination, vascular integration, and neuron‒glia interactions. AI-driven computational frameworks optimize scaffold design by predicting microstructural configurations, cytocompatibility, and dynamic tissue responses, facilitating closed-loop, personalized adaptation. These advanced constructs autonomously remodel over time, emulating physiological phenomena such as neurovascular coupling and axonal pathfinding without external intervention, significantly surpassing static organoids and conventional microfluidic chips. Concurrently, multimodal sensor integration within NeuroPods enables continuous real-time monitoring of electrophysiological activity, biomechanical alterations, and metabolic states, creating digital twin environments capable of predicting tissue evolution, preemptively detecting pathological shifts, and adjusting therapeutic strategies accordingly. Despite these groundbreaking capabilities, challenges persist regarding scalable manufacturing, long-term biocompatibility, and precise regulatory alignment. Addressing these demands necessitates advancing AI-enhanced bioprinting, developing robust regulatory frameworks, and refining predictive digital twin technologies. Future directions include the integration of synthetic biology circuits, smart transient electronics, and neuromorphic AI interfaces within NeuroPods, promising revolutionary personalized neural regeneration therapies and high-fidelity, patient-specific disease modeling platforms. Collectively, this multidisciplinary convergence positions bioinspired NeuroPods at the forefront of regenerative neuroscience, redefining the boundaries of bioengineering and precision medicine.","url":"https://doi.org/10.20944/preprints202507.1943.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.1943.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1101/2025.05.08.652793","name":"MicroProphet: A Digital Twin Framework for Predicting Microbial Community Dynamics with Personalized Precision","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.05.08.652793","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.05.08.652793","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.22541/au.175071144.40561363/v1","name":"Efficient Calculation of Transformer Winding Vibration Field Based on Proper Orthogonal Decomposition Method","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.175071144.40561363/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.175071144.40561363/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7902262/v1","name":"Adaptive Particle Swarm Optimization for Non-Invasive Parasitic Parameter Estimation in DC-DC Boost Converters","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7902262/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7902262/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202510.2437.v1","name":"Autonomous BIM-Aware UAV Path Planning for Construction Inspection","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.2437.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.2437.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202510.0401.v1","name":"Agentic Generative AI and National Security: Policy Recommendations for US Military Competitiveness","source":"preprints","abstract":"This paper presents a comprehensive analysis of Agentic Gen Artificial Intelligence (AI) frameworks and their integration into modern military systems. We examine the architectural foundations, development pipelines, and security considerations for deploying autonomous AI agents in defense applications. The research analyzes multi-agent system architectures, digital twin environments for training and validation, and secure DevOps pipelines tailored for military AI deployment. Through detailed technical diagrams and case studies, we demonstrate how Agentic AI systems enable proactive decision-making, adaptive mission planning, and coordinated autonomous operations across domains including command and control, intelligence surveillance reconnaissance (ISR), cyber defense, and swarm warfare. The paper identifies critical technical challenges in system integration, adversarial robustness, and human-machine teaming, while proposing layered security frameworks and standardized interoperability protocols. Our findings indicate that successful military implementation of Agentic AI requires robust testing methodologies, explainable AI components, and ethical governance mechanisms to ensure reliability, accountability, and compliance with international norms. The technical analysis provides a foundation for future research on AGI integration and offers practical recommendations for defense organizations navigating the transition to agentic warfare systems.","url":"https://doi.org/10.20944/preprints202510.0401.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.0401.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.05.22.655581","name":"Physics-Informed Digital Twin Can Predict Cerebral Blood Flow and Cerebral Vascular Regulation Mechanisms in Neurocritical Care Patients","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.05.22.655581","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.05.22.655581","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.06.13.25329566","name":"Bridging the Heterogeneity of Myasthenia Gravis Severity Scores for Digital Twin Development","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.06.13.25329566","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.06.13.25329566","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7938963/v1","name":"Adaptive Particle Swarm Optimization for Non-Invasive Parasitic Parameter Estimation in DC-DC Boost Converters","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7938963/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7938963/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6245899/v1","name":"TwinVax: Leveraging Digital Twin Simulation to Monitor Vaccine Storage and Population Immunisation","source":"preprints","abstract":"Abstract Background This paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard. Methods The system modelling is carried out using the Unified Modelling Language (UML) to define the workflows and processes involved, including vaccine storage temperature monitoring and population vaccination status tracking. The proposed architecture is structured into four domains: observable elements/entities, data collection and device control, digital twin platform, and user domain. To validate the system's performance and feasibility, simulations are conducted using SimPy, enabling the evaluation of its response under various operational scenarios. Results The system facilitates the storage, monitoring, and visualisation of data related to the thermal conditions of ice-lined refrigerators (ILR) and thermal boxes. Additionally, it analyses patient vaccination coverage based on the official immunisation schedule. The key benefits include optimising vaccine storage conditions, reducing dose wastage, continuously monitoring immunisation coverage, and supporting strategic vaccination planning. Conclusion The paper discusses the future impacts of this approach on immunisation management and its scalability for diverse public health contexts. By leveraging advanced technologies and simulation, this digital twin framework aims to improve the performance and overall impact of immunization services.","url":"https://doi.org/10.21203/rs.3.rs-6245899/v1","authors":["Leonardo Oliveira El-Warrak","Claudio Miceli de Farias","Victor Hugo Dias Macedo Azevedo Costa"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6245899/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.04.09.647865","name":"Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.04.09.647865","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.04.09.647865","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7711888/v1","name":"Data-Driven SHM of a Timber Lamella Dome Using CISMN","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7711888/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7711888/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-5206065/v1","name":"Digital twin integrating clinical, morphology and hemodynamic data to identify stroke risk factors","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5206065/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5206065/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.22541/au.174728882.25616720/v1","name":"Securing Digital Twins: MLEVES - A Novel Framework for Multi-Layer Encryption and Adaptive Threat Detection","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.174728882.25616720/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.174728882.25616720/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-7218259/v1","name":"A Review: Research Trend of Digitalization Centered Approach in Risk Management of Logistics Loss from FPSO to Tanker","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7218259/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7218259/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-6293181/v1","name":"PIML-based Real-time Long-horizon temperature Fields prediction in metallic additive manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6293181/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6293181/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-6505611/v1","name":"Digital Twin of Nonpregnant Human Uterus","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6505611/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6505611/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-7378480/v1","name":"Hybrid Comparative Modeling of ANN and SVM for Accurate Machining Performance Prediction of AlSiC MMC","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7378480/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7378480/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202509.1438.v1","name":"Towards Sustainable Buildings and Energy Communities: AI-Driven Transactive Energy, Smart Local Microgrids, and Life Cycle Integration","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1438.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1438.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10445370/v1","name":"Wearable Technologies for Vaccines and Therapeutics in Infectious Diseases: A Scoping Review","source":"preprints","abstract":"Abstract The continuous tracking of human biometrics through multi-sensor wearable devices marks a paradigm shift in infectious disease care, enabling the transition from reactive, intermittent assessment to continuous monitoring of the host response to vaccines and therapeutics. In this scoping review, we identified applications of wearable technologies spanning the entire intervention lifecycle, from physiological readiness before treatment and continuous safety surveillance to recovery assessment, disease interception, and therapeutic response monitoring. Across studies, wearable-derived physiological signals detected subclinical treatment responses, identified behavioral factors associated with vaccine effectiveness, objectively quantified recovery trajectories, and enabled real-time monitoring of adherence and drug-related adverse events. Emerging technologies extended beyond monitoring, demonstrating the feasibility of closed-loop systems that couple with physiological sensing directly to therapeutic action. Together, these findings suggest that wearable technologies are evolving from tools that passively observe health into platforms that continuously characterize and potentially optimize the response to infectious disease interventions. As sensing technologies, artificial intelligence, and digital therapeutics converge, infectious disease management may shift from episodic evaluation toward personalized, adaptive, and data-driven care. A critical next step is determining whether wearable-guided interventions can improve clinical outcomes, rather than simply detect physiological changes.","url":"https://doi.org/10.21203/rs.3.rs-10445370/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10445370/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-6470441/v1","name":"Understanding Practitioners’ Perspectives on Digital Twin: A Survey","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6470441/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6470441/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202502.1750.v1","name":"A Mixed Reality Digital Twin Application of a Diaphragm Actuator","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202502.1750.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202502.1750.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-6019506/v1","name":"Application of Virtual Assembly for Complex Mechanical Structures Based on Digital Twin Technology","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6019506/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6019506/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.04.27.650883","name":"Digital Twin Brain Predicts rTMS Effects on Brain State Dynamics in Chronic Tinnitus","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.04.27.650883","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.04.27.650883","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202509.1562.v1","name":"Experimental Validation of Surrogate Machine Learning Models for Finite Elements Applications","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1562.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202509.1562.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202503.1730.v1","name":"6G Self-Evolution Based on Digital Twin Network","source":"preprints","abstract":"Digital twin (DT) will revolute network autonomy. Current studies have promoted DT-native 6G network by deeply integrate DT into mobile network architectures to improve the timeless of physical-digital synchronization and network optimizations. However, DT has mainly acted as just a tool for network autonomy, leading a gap towards the ultimate goal of network self-evolution. This paper analyzes the future direction of the DT-native network. Specifically, the proposed architecture introduces a key concept called &amp;quot;future shots&amp;quot;, which gives accurate network predictions under different time scales of self-evolution strategies for various network elements. To realize the future shots, we propose a long-term hierarchical convolutional graph attention model for cost-effectively network predictions, a conditional hierarchical graph neural network for strategy generations, and methods for efficient small-large scale interactions. The architecture is expected to facilitate high-level network autonomy for 6G networks.","url":"https://doi.org/10.20944/preprints202503.1730.v1","authors":["Yuhong Huang","Mancong Kang","Yanhong Zhu","Na Li","Guangyi Liu","Qixing Wang"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202503.1730.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.21203/rs.3.rs-7517125/v1","name":"Ensuring Safety in Clinical AI: Formally Verified Deep Learning for Heart Failure Detection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7517125/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7517125/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.1101/2025.05.14.25327573","name":"The role of lighting type in dental photography for tooth shade assessment","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.05.14.25327573","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.05.14.25327573","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7608991/v1","name":"Sparse Sensor Placement for a Cyclonic Burner under MILD Combustion Conditions","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7608991/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7608991/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-6202921/v1","name":"Composition and Parametrization of a Digital Twin of a Propeller Control System using Physical Modelling","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6202921/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6202921/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.20944/preprints202502.0002.v1","name":"The Road Map to Digital Twin of Kyrenia: Challenges, Opportunities, and Future Directions","source":"preprints","abstract":"This study explores the creation of a digital twin for Kyrenia, Cyprus, focusing on the challenges and opportunities presented by this innovative urban planning tool. We discuss the integration of real-time data, citizen engagement, scalability, environmental sustainability, and the economic and social impacts of implementing a digital twin. The research identifies key gaps in current literature and proposes future research directions to enhance the utility of digital twins in urban development.","url":"https://doi.org/10.20944/preprints202502.0002.v1","authors":["Nuhcan Akçit"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202502.0002.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.20944/preprints202503.2105.v1","name":"Optimization of Rotary Friction Welding Parameters Through AI-Augmented Digital Twin Systems","source":"preprints","abstract":"In this study, Artificial Neural Networks (ANN) were employed to develop a Digital Twin (DT) of the Rotary Friction Welding (RFW) process. The neural network models were trained to predict the peak temperature generated during the welding process of dissimilar Ti Grade 2/AA 5005 joints. This prediction was based on a parametric numerical model of the RFW process constructed using the Finite Element Method (FEM) within the ADINA System software. Numerical simulations enabled a detailed analysis of the temperature distribution within the weldment. Accurate temperature predictions are essential for assessing the mechanical properties and microstructural integrity of the welded materials. Artificial Intelligence (AI) models, trained on historical data and real-time inputs, dynamically adjust critical process parameters—such as rotational speed, axial force, and friction time—to maintain optimal weld quality. A key advantage of employing AI-augmented DT systems in the RFW process is the ability to conduct real-time optimization and adaptive control. By integrating a Genetic Algorithm (GA) with a DT of the RFW process, the authors have developed an effective tool for analyzing a wide range of parameters to identify optimal welding conditions to improve joint quality, minimize defects, and maximize process efficiency.","url":"https://doi.org/10.20944/preprints202503.2105.v1","authors":["Piotr Lacki","Janina Adamus","Kuba Lachs","Wiktor Lacki"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202503.2105.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.21203/rs.3.rs-6490479/v1","name":"Environmental Impact Perspective Sustainable Online Textile Retailing: Harnessing Augmented Reality-Based Digital Twins in Bangladesh","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6490479/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6490479/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"doi:10.21203/rs.3.rs-7054537/v1","name":"A Multi-Objective Framework for Human–Robot Collaborative Assembly with Augmented Reality Visualization","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7054537/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7054537/v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202510.1175.v1","name":"Deep Line-Segment Detection-Driven Building Footprints Extraction from Backpack LiDAR Point Clouds for Urban Scene Reconstruction","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202510.1175.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202510.1175.v1","addedAt":"2026-09-01T01:47:32.414Z","updatedAt":"2026-09-01T01:47:35.192Z"},{"id":"oa:W4408798679","name":"AI-Driven Digital Twins for Enhancing Indoor Environmental Quality and Energy Efficiency in Smart Building Systems","source":"openalex","abstract":"Smart buildings equipped with diverse control systems serve the objectives of gathering data, optimizing energy efficiency (EE), and detecting and diagnosing faults, particularly in the domain of indoor environmental quality (IEQ). Digital twins (DTs) offering an environmentally sustainable solution for managing facilities and incorporated with artificial intelligence (AI) create opportunities for maintaining IEQ and optimizing EE. The purpose of this study is to assess the impact of AI-driven DTs on enhancing IEQ and EE in smart building systems (SBS). A scoping review was performed to establish the theoretical background about DTs, AI, IEQ, and SBS, semi-structured interviews were conducted with the specialists in the industry to obtain qualitative data, and quantitative data were gathered via a computerized self-administered questionnaire (CSAQ) survey, focusing on how DTs can improve IEQ and EE in SBS. The results indicate that the AI-driven DT enhances occupants’ comfort and energy-efficiency performance and enables decision-making on automatic fault detection and maintenance conditioning to improve buildings’ serviceability and IEQ in real time, in response to the key industrial needs in building energy management systems (BEMS) and interrogative and predictive analytics for maintenance. The integration of AI with DT presents a transformative approach to improving IEQ and EE in SBS. The practical implications of this advancement span across design, construction, AI, and policy domains, offering significant opportunities and challenges that need to be carefully considered.","url":"https://doi.org/10.3390/buildings15071030","authors":["İbrahim Yitmen","Amjad Almusaed","Mohammed Bahreldin Hussein","Asaad Almssad"],"tags":["Architectural engineering","Quality (philosophy)","Computer science","Environmental quality","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-24","doi":"https://doi.org/10.3390/buildings15071030","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4306174813","name":"Multimodal fusion recognition for digital twin","source":"openalex","abstract":"The digital twin is the concept of transcending reality, which is the reverse feedback from the real physical space to the virtual digital space. People hold great prospects for this emerging technology. In order to realize the upgrading of the digital twin industrial chain, it is urgent to introduce more modalities, such as vision, haptics , hearing and smell, into the virtual digital space, which assists physical entities and virtual objects in creating a closer connection. Therefore, perceptual understanding and object recognition have become an urgent hot topic in the digital twin. Existing surface material classification schemes often achieve recognition through machine learning or deep learning in a single modality, ignoring the complementarity between multiple modalities. In order to overcome this dilemma, we propose a multimodal fusion network in our article that combines two modalities, visual and haptic, for surface material recognition. On the one hand, the network makes full use of the potential correlations between multiple modalities to deeply mine the modal semantics and complete the data mapping. On the other hand, the network is extensible and can be used as a universal architecture to include more modalities. Experiments show that the constructed multimodal fusion network can achieve 99.42% classification accuracy while reducing complexity.","url":"https://doi.org/10.1016/j.dcan.2022.10.009","authors":["Tianzhe Zhou","Xuguang Zhang","Bing Kang","Mingkai Chen"],"tags":["Computer science","Modalities","Modality (human–computer interaction)","Artificial intelligence","Haptic technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-14","doi":"https://doi.org/10.1016/j.dcan.2022.10.009","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4224247188","name":"Immersive Virtual Reality for Virtual and Digital Twins: A Literature Review to Identify State Of The Art and Perspectives","source":"openalex","abstract":"Digital twins are a promising technology for various application scenarios such as industry 4.0, medical applications or even urban planning. However, the representation and interaction is often complex and not intuitive. The use of virtual reality in the representation and interaction with digital twins can remedy this. In this paper, we survey the existing literature using the PRISMA guidelines to give a first overview of existing application scenarios, advantages, difficulties and also possible prospects for future work. We identified 30 relevant papers demonstrating first prototypes of combining digital twins with virtual reality. Most applications were in the field of industry 4.0. Popular use cases are remote operations, collaborations, or training and education. While many advantages are presented, also challenges such as VR interaction design, networking optimization, and optimized hardware controls open up also interesting future research fields.","url":"https://doi.org/10.1109/vrw55335.2022.00035","authors":["Johanna Pirker","Enrica Loria","Saeed Safikhani","Andreas Künz","Sabrina Rosmann"],"tags":["Virtual reality","Computer science","Virtual representation","Representation (politics)","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.1109/vrw55335.2022.00035","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4385327150","name":"Digital twin deployment for smart agriculture in Cloud-Fog-Edge infrastructure","source":"openalex","abstract":"The rapid adoption of Cloud, Fog, and Edge computing paradigms, along with Digital Twin (DT) technology, is being observed across numerous domains.Smart Agriculture is one such domain, where diverse requirements exist for applications that range from Augmented Reality, Satellite, and auto harvesters to a multitude of agricultural devices and sensors.While the integration of Cloud, Fog, and Edge computing can address various challenges, it can also pose some difficulties, including resource allocation, resource scheduling, and task scheduling.To address these challenges and enhance the productivity and sustainability of Smart Agriculture, this paper presents a novel architecture based on Cloud, Fog, Edge computing, and Multi-Agent Systems (MAS), incorporating the concept of Digital Twin.This proposed architecture is implemented in Smart Agricultural farms and fields, opening up new contemporary applications in the Agriculture domain.","url":"https://doi.org/10.1080/17445760.2023.2235653","authors":["Yogeswaranathan Kalyani","Nestor Velasco Bermeo","Rem Collier"],"tags":["Cloud computing","Software deployment","Computer science","Edge computing","Agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-27","doi":"https://doi.org/10.1080/17445760.2023.2235653","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4388052837","name":"Measurement Informed Models and Digital Twins for Optical Fiber Communication Systems","source":"openalex","abstract":"Digital coherent transceivers have developed to the stage that they can monitor the physical state of an optical network and thus are capable of generating data to build measurement-informed physical layer models. After reviewing the measurement capabilities of coherent transceivers, we discuss different modeling approaches including physics-based models, data-driven models as well as hybrid models that incorporate elements of both physics-based and data-driven models. Having reviewed both the measurement capabilities and the modeling methodologies, the salient features of building digital twins based on measurement informed models for optical fiber communication systems are discussed.","url":"https://doi.org/10.1109/jlt.2023.3328765","authors":["Md. Saifuddin Faruk","Seb J. Savory"],"tags":["Salient","Transceiver","Electronic engineering","Computer science","Digital data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-31","doi":"https://doi.org/10.1109/jlt.2023.3328765","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4212946487","name":"Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems","source":"openalex","abstract":"Smart manufacturing systems are being advocated to leverage technological advances that enable them to be more resilient to faults through rapid diagnosis for performance assurance. In this paper, we propose a co-simulation approach for engineering digital twins (DTs) that are used to train Bayesian Networks (BNs) for fault diagnostics at equipment and factory levels. Specifically, the co-simulation model is engineered by using cyber-physical system (CPS) consisting of networked sensors, high-fidelity simulation model of each equipment, and a detailed discrete-event simulation (DES) model of the factory. The proposed DT approach enables injection of faults in the virtual system, thereby alleviating the need for expensive factory-floor experimentation. It should be emphasized that this approach of injecting faults eliminates the need for obtaining balanced data that include faulty and normal factory operations. We propose a Structural Intervention Algorithm (SIA) in this paper to first detect all possible directed edges and then distinguish between a parent and an ancestor node of the BN. We engineered a DT research test-bed in our laboratory consisting of four industrial robots configured into an assembly cell where each robot has an industrial Internet-of-Things sensor that can monitor vibrations in two-axes. A detailed equipment-level simulator of these robots was integrated with a detailed DES model of the robotic assembly cell. The resulting DT was used to carry out interventions to learn a BN model structure for fault diagnostics. Laboratory experiments validated the efficacy of the proposed approach by accurately learning the BN structure, and in the experiments, the accuracy obtained by the proposed approach (measured using Structural Hamming Distance) was found to be significantly better than traditional methods. Furthermore, the BN structure learned was found to be robust to variations in parameters, such as mean time to failure (MTTF).","url":"https://doi.org/10.3390/s22041430","authors":["Toyosi Ademujimi","Vittaldas V. Prabhu"],"tags":["Factory (object-oriented programming)","Robot","Engineering","Leverage (statistics)","Simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-13","doi":"https://doi.org/10.3390/s22041430","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4324116351","name":"Incipient Interturn Short-Circuit Fault Diagnosis of Permanent Magnet Synchronous Motors Based on the Data-Driven Digital Twin Model","source":"openalex","abstract":"As the most common fault of permanent magnet synchronous motor (PMSM), interturn short-circuit fault (ISCF) has great harm and develops rapidly. Once it is not diagnosed in time, it will bring secondary damage to the motor system. In the process of early fault diagnosis, the harmonic of the motor often increases the difficulty of fault feature extraction. In order to improve the reliability of the system, a method for early interturn short-circuit diagnosis of PMSMs based on data-driven digital twin models is proposed in this article. First, the three-phase current residuals of the PMSM under ISCF are analyzed theoretically. Second, the digital twin model of the target motor in healthy states is established through nonlinear auto-regressive model with exogenous inputs (NARX) network. Finally, the early short-circuit diagnosis is completed through the analysis of the three-phase current residual. The method proposed in this article does not need fault data and can complete the diagnosis of minor faults under the condition of large harmonic and certain inherent asymmetry. It has high sensitivity and obvious fault characteristics. Theoretical derivation and experiments verify the effectiveness of the proposed method.","url":"https://doi.org/10.1109/jestpe.2023.3255249","authors":["Zhichao Chen","Deliang Liang","Shaofeng Jia","Lin Yang","Shuzhou Yang"],"tags":["Fault (geology)","Harmonic","Control theory (sociology)","Nonlinear autoregressive exogenous model","Synchronous motor"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-13","doi":"https://doi.org/10.1109/jestpe.2023.3255249","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4378979708","name":"An intelligent digital twin system for paper manufacturing in the paper industry","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.eswa.2023.120614","authors":["Jiwei Zhang","Haoliang Cui","Andy L. Yang","Feng Gu","Chengjie Shi","Wen Zhang","Shaozhang Niu"],"tags":["Computer science","Factory (object-oriented programming)","Productivity","Manufacturing engineering","Papermaking"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-01","doi":"https://doi.org/10.1016/j.eswa.2023.120614","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W2893366679","name":"A digital twin for composite parts manufacturing : Effects of defects analysis based on manufacturing data","source":"openalex","abstract":"The manufacturing of structural parts made from carbon fiber composite materials is a complex process that requires extended quality control. To facilitate better decisions about the mechanical properties of the part and, consequently, the need for re-work, a manufacturing database is proposed that creates a digital twin of the part as manufactured. The main contribution of the paper is to highlight how to merge incoming sensor data into the database and how to use these data to determine the margin of safety for the part. This is demonstrated on the example of an ADMP (automated dry material placement) process during the manufacturing of a section of an aircraft wing lower cover.","url":"https://doi.org/10.1109/indin.2018.8472014","authors":["Sebastian Zambal","Christian Eitzinger","Michael Clarke","J.W. Klintworth","Pierre-Yves Méchin"],"tags":["Manufacturing process","Merge (version control)","Computer science","Composite number","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-01","doi":"https://doi.org/10.1109/indin.2018.8472014","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3161249648","name":"Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data","source":"openalex","abstract":"Mobile phone data generated in mobile communication networks has the potential to improve current travel demand models and in general, how we plan for better urban transportation systems. However, due to its high-dimensionality, even if anonymised there still exists the possibility to re-identify the users behind the mobile phone traces. This risk makes its usage outside the telecommunication network incompatible with recent data privacy regulations, hampering its adoption in transportation-related applications. To address this issue, we propose a framework designed only with user-aggregated mobile phone data to synthesise realistic daily individual mobility — Digital Twin Travellers. We explore different strategies built around modified Markov models and an adaption of the Rejection Sampling algorithm to recreate realistic daily schedules and locations. We also define a one-day mobility population score to measure the similarity between the population of generated agents and the real mobile phone user population. Ultimately, we show how with a series of histograms provided by the telecommunication service provider (TSP) it is possible and plausible to disaggregate them into new synthetic and useful individual-level information, building in this way a big data travel demand framework that is designed in accordance with current data privacy regulations.","url":"https://doi.org/10.1016/j.trc.2021.103118","authors":["Cuauhtémoc Anda","Sergio Ordóñez","Kay W. Axhausen"],"tags":["Computer science","Mobile phone","Population","Mobile telephony","Mobile computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-04","doi":"https://doi.org/10.1016/j.trc.2021.103118","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3209456161","name":"Enhancing dam safety evaluation using dam digital twins","source":"openalex","abstract":"Comprehensive evaluation of dams in a dynamic and proactive way is accepted as an effective strategy to improve dam safety. However, there is a lack of efficient and standardised approaches for managing monitoring-related information that can help to provide dynamic and reliable information for continuous dam evaluation. With the importance of digital twins (DTs) being proven in better data integration and interoperability, a DT-based approach for comprehensive dam evaluation and its data integration method based on extended industry foundation classes (IFC) are provided in this study. This paper presents a new data structure and corresponding data classification strategy, using which information required for continuous evaluation can be effectively organised. Considering that existing evaluation methods cannot fully characterise uncertainties in the evaluation process, a cloud model based comprehensive evaluation framework is proposed. In this approach, a multi-rule cloud reasoning model is utilised to evaluate monitoring points. Also, a multi-dimensional cloud model and an improved Criteria Importance Though Intercriteria Correlation (CRITIC) method are leveraged to assess evaluation indices affected by multiple factors. Finally, the results of a case study verify that the proposed DT-based solution realises a continuous dam safety evaluation, which contributes to automated and efficient dam condition monitoring.","url":"https://doi.org/10.1080/15732479.2021.1991387","authors":["Xi Zhu","Tengfei Bao","Justin K. W. Yeoh","Ningxiao Jia","Hui Li"],"tags":["Safety monitoring","Cloud computing","Computer science","Process (computing)","Interoperability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-20","doi":"https://doi.org/10.1080/15732479.2021.1991387","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3201644990","name":"Towards Digitalization in Bio-Manufacturing Operations: A Survey on Application of Big Data and Digital Twin Concepts in Denmark","source":"openalex","abstract":"Digitalization in the form of Big Data and Digital Twin inspired applications are hot topics in today's bio-manufacturing organizations. As a result, many organizations are diverting resources (personnel and equipment) to these applications. In this manuscript, a targeted survey was conducted amongst individuals from the Danish biotech industry to understand the current state and perceived future obstacles in implementing digitalization concepts in biotech production processes. The survey consisted of 13 questions related to the current level of application of 1) Big Data analytics and 2) Digital Twins, as well as obstacles to expanding these applications. Overall, 33 individuals responded to the survey, a group spanning from bio-chemical to biopharmaceutical production. Over 73% of the respondents indicated that their organization has an enterprise-wide level plan for digitalization, it can be concluded that the digitalization drive in the Danish biotech industry is well underway. However, only 30% of the respondents reported a well-established business case for the digitalization applications in their organization. This is a strong indication that the value proposition for digitalization applications is somewhat ambiguous. Further, it was reported that digital twin applications (58%) were more widely used than Big Data analytic tools (37%). On top of the lack of a business case, organizational readiness was identified as a critical hurdle that needs to be overcome for both Digital Twin and Big Data applications. Infrastructure was another key hurdle for implementation, with only 6% of the respondents stating that their production processes were 100% covered by advanced process analytical technologies.","url":"https://doi.org/10.3389/fceng.2021.727152","authors":["Isuru A. Udugama","Merve Öner","Pau Cabañeros López","Christan Beenfeldt","Christoph Bayer","Jakob Kjøbsted Huusom","Krist V. Gernaey","Gürkan Sin"],"tags":["Big data","Analytics","Business","Production (economics)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-16","doi":"https://doi.org/10.3389/fceng.2021.727152","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4400683926","name":"Digital twins: a new paradigm in oncology in the era of big data","source":"openalex","abstract":"Recent advancements in health care digitalization opened the collection and availability of big data, whose analysis requires artificial intelligence-based technologies to facilitate the development of predictive tools supporting decision making in clinical practice. In this context, the idea of constructing ‘digital worlds' to evaluate the performance of such novel tools becomes more attractive. Digital twins (DTs) are ‘digital objects' characterized by a bi-directional interaction with their ‘real-world counterparts'. DTs aim to enhance predictions further by leveraging both the predictive capabilities of digital simulations and the continuous updating of real-life data—ideally incorporating clinical records, multiomics data, and patient-reported outcomes. DTs can potentially integrate these diverse data into virtual models applicable across pre-clinical to clinical studies. Running simulations in silico on cancer cells or cancer patients' DTs can provide valuable insights into cancer biology, clinical practice, and health care education, with the added value of reducing costs and overcoming many common limitations of current studies (limited number of variables, challenges in recruiting patients with rare tumors, lack of real-life feedback). Despite their significant potential, DTs are still in their infancy, facing numerous unsolved technical and ethical challenges that hinder their application in clinical practice.","url":"https://doi.org/10.1016/j.esmorw.2024.100056","authors":["Luigina Mollica","Claudia Leli","Federico Sottotetti","Silvana Quaglini","Laura D. Locati","Sara Marceglia"],"tags":["Big data","Digital era","Data science","Computer science","Oncology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-16","doi":"https://doi.org/10.1016/j.esmorw.2024.100056","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4412730814","name":"AI-enhanced digital twins in maintenance: Systematic review, industrial challenges, and bridging research–practice gaps","source":"openalex","abstract":"The convergence of artificial intelligence (AI) and digital twin technology is reshaping maintenance strategies in the era of Industry 4.0. However, gaps persist between academic advancements and industrial adoption and expectation. This study systematically investigates the landscape of AI-enhanced digital twins for maintenance by integrating a systematic literature review (SLR) of related studies with in-depth interviews from industry practitioners. Our analysis reveals that while academia demonstrates robust applications of supervised, deep, and reinforcement learning to optimize digital twin models and prescribe data-driven actions, industrial implementation remains limited by challenges such as high scale dimension, data integration complexities, and insufficient workforce readiness. We identified and articulated three critical gap dimensions, scale, data, and model between academic research and industrial implementation and expectation. To bridge these gaps, we proposed a comprehensive five-layer framework for AI-enhanced digital twins, encompassing physical assets, data transmission, digital twins, AI analytics, and maintenance services. Actionable recommendations are provided, including the adoption of modular architectures, standardized data protocols, hybrid edge-cloud solutions, and targeted workforce upskilling. Our findings not only clarify the current state and challenges of AI-driven digital twins in maintenance but also offer a practical roadmap for accelerating their industrial implementation. This work advances the field by integrating insights from both academic research and industrial practice, offering concrete recommendations to support the practical realization of smart and sustainable maintenance practices.","url":"https://doi.org/10.1016/j.jmsy.2025.07.006","authors":["Siyuan Chen","Ebru Turanoğlu Bekar","Jon Bokrantz","Anders Skoogh"],"tags":["Bridging (networking)","Computer science","Engineering","Psychology","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-29","doi":"https://doi.org/10.1016/j.jmsy.2025.07.006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4367611274","name":"Digital Twins of the Ocean can foster a sustainable blue economy in a protected marine environment","source":"openalex","abstract":"While the field of hydrography is crucial for maritime navigation and other maritime applications, oceanography is the field that provides the relevant data and knowledge for predicting climate change, monitoring marine resources, and exploring marine life. Digital ocean twins combine these two exciting fields and combine ocean observations and ocean models to establish virtual representations of a real world system, in this case the ocean or an ocean area, as well as assets in the ocean and processes within ocean industries or the natural environment. They have the potential to play a critical role in optimising and supporting sustainable ocean development. Digital Twins are synchronised with their real-world counterparts at a specific frequency and fidelity. They can provide valuable insights into the ocean's state and its evolution over time, which can be used to support decision-making in ocean governance and various ocean-related industries. Digital ocean twins can transform human ocean interactions by accelerating holistic understanding, optimal decision-making, and effective interventions. Digital twins of the ocean use ocean observations, historical and forecast data to represent the past and present and simulate possible future scenarios. They are motivated by outcomes, tailored to use cases, powered by integration, built on data, guided by domain knowledge, and implemented in IT systems. In this article, we explore the benefits of digital twins for the ocean, the challenges in developing them, and the current state of the art in ocean digital twin technology. One of the main benefits of digital ocean twins is their ability to provide accurate predictions of ocean conditions under expected interventions. Their information can be used to support decision- making in various applications including ocean-related industries, such as fishing, shipping, and offshore energy production. Additionally, digital twins can help to improve our understanding of the ocean's complex processes and their interactions with human activities, such as climate change, pollution, resource extraction and overfishing. Researchers and IT companies are combining various technologies and data sources, such as the Internet of Things for ocean observations, state of the art data science, artificial intelligence and machine learning, data spaces and vocabularies into digital ocean twins to contextualise data, improve the accuracy of ocean models and make ocean knowledge more accessible to a wide range of users.","url":"https://doi.org/10.58440/ihr-29-a04","authors":["Ute Brönner","Maike Sonnewald","Martin Visbeck"],"tags":["Ocean observations","Ocean current","Computer science","Oceanography","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-27","doi":"https://doi.org/10.58440/ihr-29-a04","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3090964084","name":"Efficient container virtualization-based digital twin simulation of smart industrial systems","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2020.124443","authors":["Ting Lin","Guoqiang Shi","Chen Yang","Yingxi Zhang","Jiezhang Wang","Zhengxuan Jia","Liqin Guo","Yingying Xiao","Zhiqiang Wei","Shulin Lan"],"tags":["Container (type theory)","Virtualization","Computer science","Embedded system","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-02","doi":"https://doi.org/10.1016/j.jclepro.2020.124443","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4313530733","name":"Digital twin and IOT technology for secure manufacturing systems","source":"openalex","abstract":"The Digital Twin (DT) method offers new concepts for choosing the context of information technologies and smart production systems. This research focuses on low-price, extremely effective defect diagnosis methods, low-efficiency, high-cost devices to obtain timely feedback and accurate fault detection results, and secure manufacturing systems. The data structure, control plane, and output units are the three components of the manufacturing system that creates a data link between the virtual model using Micro-Electro-Mechanical (MEM) devices and the Zigbee wireless transmission system in the database layer. This study acquired DT information from the control plane using the Internet of Things (IoT) through sensors for secure manufacturing information. It separates and calls the pertinent data by the attribute processor and transfers it to the outcome units. To produce the classification and outcomes of work build features information, the evaluation method analysis the output nodes that split the test set and learning group using a dynamic database. The hybrid IoT with DT technology to examine the consequences of defects detected efficiently predicted and secures the manufacturing system.","url":"https://doi.org/10.1016/j.measen.2022.100661","authors":["Lisa Gopal","Harbaksh Singh","Panguluri Mounica","N. Mohankumar","Nagendra Panini Challa","Prem Prakash Jayaraman","P. Jayaraman"],"tags":["Computer science","Context (archaeology)","Internet of Things","Embedded system","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-30","doi":"https://doi.org/10.1016/j.measen.2022.100661","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W2967419010","name":"Cloud-Based Digital Twin for Industrial Robotics","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-27878-6_9","authors":["Timon Hoebert","Wilfried Lepuschitz","Erhard List","Munir Merdan"],"tags":["Computer science","Cloud computing","Robot","Ontology","Robotics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1007/978-3-030-27878-6_9","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4281773026","name":"Digital twins’ impact on organizational control: perspectives on formal vs social control","source":"openalex","abstract":"Purpose This study examines the connection between different digital-twin characteristics and organizational control. Specifically, the study aims to examine whether the digital-twin characteristics exploration, guidance and gamification will affect formal and social control. Design/methodology/approach The study is based on an analysis of survey results from 139 respondents comprising applied university students who use digital twins. Findings The results offer an interesting contribution to the literature. The authors consider the digital-twin characteristics exploration, guidance and gamification and investigate their contribution to two types of organizational controls: formal and social. The results show that two characteristics, exploration and gamification, affect the extent to which digital twins can be utilized for social control. Exploration and guidance’s role is significant concerning the extent to which digital twins can be utilized for formal control. Originality/value This study contributes to literature by considering multiple digital-twin characteristics and their contribution to two different control outcomes. First, it diverges from previous technical-oriented research by investigating digital twins in a human context. Second, the study is the first to examine digital twins’ effects from an organizational control perspective systematically.","url":"https://doi.org/10.1108/itp-09-2020-0608","authors":["Juhani Ukko","Minna Saunila","Mina Nasiri","Tero Rantala","Mira Holopainen"],"tags":["Originality","Control (management)","Perspective (graphical)","Affect (linguistics)","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-31","doi":"https://doi.org/10.1108/itp-09-2020-0608","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4206789852","name":"The Modelling of Digital Twins Technology in the Construction Process of Prefabricated Buildings","source":"openalex","abstract":"In the process of building construction, traditional architectural design and construction methods take a long time. The built buildings perform poorly in terms of energy usage and energy conservation. The study expects to explore the potential safety hazards of prefabricated buildings during the construction process. On this basis, a modelling study of the construction process is carried out. The study uses Digital Twins (DTs) technology and prefabricated Building Information Modelling (BIM) to conduct in‐depth modelling research on the building construction process. The prefabricated building construction system oriented to DTs technology can well solve the problems of structural damage and deformation in the production, transportation, and assembly process of building components. Especially in prefabricated buildings, it can monitor and accurately predict the damage of building components that may occur in the entire system due to structural problems and material problems in real time. Regarding the building information model, the study uses third‐party software to transfer the assembly information to the network cloud to further realize the display of the BIM. The study shows that the maximum value of the effective risk cases selected is 130, and its effective rate is 100%; after processing the data, it is found that the initial value is always stable, and its value is 1; the extracted value is always changing, the maximum value is 0.86, and the minimum is 0.75. By this result, the conclusion is that DTs technology and BIM can effectively monitor the indicators of risk problems during the construction of prefabricated buildings and can further reduce potential safety hazards. Through building information modelling, the development of intelligent industrialization of building construction design and the in‐depth study of construction modelling has practical application value.","url":"https://doi.org/10.1155/2021/2801557","authors":["Yun Zhou","Wei Xiao","Ying Peng"],"tags":["Architectural engineering","Process (computing)","Construction engineering","Prefabrication","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1155/2021/2801557","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3215437720","name":"Taming the Complexity of Digital Twins","source":"openalex","abstract":"Current digital twin standards are based on architectures that have been shown to produce unnecessary accidental complexity. New standards are therefore needed to support the efficient implementation of digital twins and their seamless integration with other systems.","url":"https://doi.org/10.1109/ms.2021.3129174","authors":["Colin Atkinson","Thomas Kühne"],"tags":["Computer science","Accidental","Software engineering","Acoustics","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-18","doi":"https://doi.org/10.1109/ms.2021.3129174","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4324017666","name":"Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL","source":"openalex","abstract":"Phase I oncology clinical trials often comprise a limited number of patients representing different disease subtypes who are divided into cohorts receiving treatment(s) at different dosing levels and schedules. Here, we leverage a previously developed quantitative systems pharmacology model of the anti-CD20/CD3 T-cell engaging bispecific antibody, mosunetuzumab, to account for different dosing regimens and patient heterogeneity in the phase I study to inform clinical dose/exposure-response relationships and to identify biological determinants of clinical response. We developed a novel workflow to generate digital twins for each patient, which together form a virtual population (VPOP) that represented variability in biological, pharmacological, and tumor-related parameters from the phase I trial. Simulations based on the VPOP predict that an increase in mosunetuzumab exposure increases the proportion of digital twins with at least a 50% reduction in tumor size by day 42. Simulations also predict a left-shift of the exposure-response in patients diagnosed with indolent compared to aggressive non-Hodgkin's lymphoma (NHL) subtype; this increased sensitivity in indolent NHL was attributed to the lower inferred values of tumor proliferation rate and baseline T-cell infiltration in the corresponding digital twins. Notably, the inferred digital twin parameters from clinical responders and nonresponders show that the potential biological difference that can influence response include tumor parameters (tumor size, proliferation rate, and baseline T-cell infiltration) and parameters defining the effect of mosunetuzumab on T-cell activation and B-cell killing. Finally, the model simulations suggest intratumor expansion of pre-existing T-cells, rather than an influx of systemically expanded T-cells, underlies the antitumor activity of mosunetuzumab.","url":"https://doi.org/10.1111/cts.13501","authors":["Monica Susilo","Chi‐Chung Li","Kapil Gadkar","Genevive Hernandez","Ling‐Yuh Huw","Jin Y. Jin","Shen Yin","Michael C. Wei","Saroja Ramanujan","Iraj Hosseini"],"tags":["Medicine","Dosing","Oncology","Clinical trial","Antibody"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-13","doi":"https://doi.org/10.1111/cts.13501","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2996191291","name":"Dynamic digital twin for predictive maintenance in flexible production systems","source":"openalex","abstract":"Technical innovations to improve production systems flexibility have been extensively investigated and are already available to industrial practice. However, the production companies' internal structures and processes must also meet these flexibility requirements in order for system adjustments to be efficiently carried out. Due to the direct influence on availability, performance and quality losses, maintenance is particularly relevant. Therefore, this paper considers the effects of flexibility on the promising strategy of predictive maintenance. With the digital twin, its update service and a labelling interface, the essential components of a predictive maintenance system for flexible production systems are introduced in detail. This application is based on a reference plant in the form of a flexible hybrid assembly system. The outlook discusses the transferability to other industrial use cases.","url":"https://doi.org/10.1109/iecon.2019.8927397","authors":["André Barthelmey","Eunseo Lee","Ramy Hana","Jochen Deuse"],"tags":["Flexibility (engineering)","Predictive maintenance","Production (economics)","Computer science","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/iecon.2019.8927397","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4367399832","name":"AI-based UAV navigation framework with digital twin technology for mobile target visitation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engappai.2023.106318","authors":["Abdulrahman Soliman","Abdulla Al‐Ali","Amr Mohamed","Hend Gedawy","Daniel Izham","Mohamad Bahri","Aiman Erbad","Mohsen Guizani"],"tags":["Computer science","Computer vision","Human–computer interaction","Artificial intelligence","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-30","doi":"https://doi.org/10.1016/j.engappai.2023.106318","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4391384282","name":"Battery State-of-Health Estimation: A Step towards Battery Digital Twins","source":"openalex","abstract":"For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, requiring extensive expert knowledge to extract features. In this regard, a novel data pre-processing model is proposed in this paper to extract health-related features automatically from battery-discharging data for SOH estimation. In the proposed method, one-dimensional (1D) voltage data are converted to two-dimensional (2D) data, and a new data set is created using a 2D sliding window. Then, features are automatically extracted in the machine learning (ML) training process. Finally, the estimation of the SOH is achieved by forecasting the battery voltage in the subsequent cycle. The performance of the proposed technique is evaluated on the NASA public data set for a Li-ion battery degradation analysis in four different scenarios. The simulation results show a considerable reduction in the RMSE of battery SOH estimation. The proposed method eliminates the need for the manual extraction and evaluation of features, which is an important step toward automating the SOH estimation process and developing battery digital twins.","url":"https://doi.org/10.3390/electronics13030587","authors":["Vahid Safavi","Najmeh Bazmohammadi","Juan C. Vásquez","Josep M. Guerrero"],"tags":["State of health","Battery (electricity)","Computer science","Process (computing)","Voltage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-31","doi":"https://doi.org/10.3390/electronics13030587","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4404511772","name":"A conceptual digital twin framework for supply chain recovery and resilience","source":"openalex","abstract":"Amidst escalating global supply system risks and interruptions, the imperative for fortified supply networks is evident. Organizations striving for competitiveness and resilience must adeptly recognize, comprehend, and address disruptions. This study presents a three-phase digital supply chain twin framework, leveraging discrete event simulation and neural networks to anticipate floods—a typical natural catastrophe and disruptive event—and predict recovery indicators. This aids supply chain (SC) managers in making informed decisions. In the first phase, machine learning algorithms, including logistic regression and Long Short-Term Memory (LSTM), were trained on Kerala India's precipitation data to predict floods. LSTM outperforms logistic regression, achieving flood prediction with 73 % recall, 75 % accuracy, and 84 % Area Under Curve-Receiver Operating Characteristics score. In the second phase, simulations replicate value chain breakdowns. A process flow logic-driven discrete event simulation within a real-world SC network emulates operational disruptions. FlexSim is employed to model service-level failures, influencing SC model performance based on the distribution center service level. The third phase employs simulated case scenario data to train a multilayer neural perceptron network (MLPNN) for predicting production network recovery post-disruptions. The MLPNN monitors the mean squared error (MSE) and disruptive inputs throughout training and validation, revealing consistent MSE reduction over recovery periods. The number of epochs needed to achieve a minimum MSE is used as a recovery indicator to predict service restoration time. Consequently, this study introduces a conceptual digital twin framework for catastrophic operations chain breakdowns and recovery prediction. The framework's output assists SC planners in shaping robust strategies by foreseeing disruptions and facilitating recovery.","url":"https://doi.org/10.1016/j.sca.2024.100091","authors":["Oluwagbenga Victor Ogunsoto","Jessica Olivares-Aguila","Waguih ElMaraghy"],"tags":["Resilience (materials science)","Supply chain","Conceptual framework","Business","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-19","doi":"https://doi.org/10.1016/j.sca.2024.100091","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4390748783","name":"Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing","source":"openalex","abstract":"In the era of Industry 4.0 and smart manufacturing, Wire Arc Additive Manufacturing (WAAM) stands at the forefront, driving a paradigm shift towards automated, digitalized production. However, online simulation remains a technical barrier toward building a Digital Twin (DT) for metallic AM due to the prolonged computing time of numerical simulations and limitations in accuracy of current data-driven models. This study addresses these issues by introducing an adaptive online simulation model for predicting distortion fields, utilizing a diffusion model architecture for distortion process modelling with a Vector Quantized Variational AutoEncoder coupled with Generative Adversarial Network (VQVAE-GAN) backbone for spatial feature extraction, complemented by a Recurrent Neural Network (RNN) for time-scale result fusion. Pretrained offline with Finite Element Method (FEM) simulated distortion fields, the model successfully predicts distortion fields online using laser-scanned point clouds during the deposition process. Experimental validation on seven thin-wall structures demonstrated its superior performance, achieving a Root Mean Square Error (RMSE) below 0.9 m, outperforming FEM by 143% and Artificial Neural Networks (ANN) based methods by 151%, marking a significant stride towards realizing an AM-DT.","url":"https://doi.org/10.1016/j.jii.2024.100563","authors":["Haochen Mu","Fengyang He","Lei Yuan","Houman Hatamian","Philip Commins","Zengxi Pan"],"tags":["Distortion (music)","Artificial neural network","Finite element method","Artificial intelligence","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-11","doi":"https://doi.org/10.1016/j.jii.2024.100563","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4385688351","name":"Exploiting Digital Twin technology for Cybersecurity Monitoring in Smart Grids","source":"openalex","abstract":"The adoption of Digital Twin technology has witnessed significant growth in various domains, enabling continuous monitoring and testing in diverse applications. In the context of safeguarding critical infrastructures, particularly smart grids, Digital Twin has emerged as a viable solution to meet the requirements outlined in the NIS2 directive issued by the European Commission. Additionally, the increasing trend in Europe towards establishing shared dataspaces, and fostering collaborative environments through data sharing, necessitates a heightened focus on cybersecurity risks.","url":"https://doi.org/10.1145/3600160.3605043","authors":["Luigi Coppolino","Roberto Nardone","Alfredo Petruolo","Luigi Romano","Andrej Souvent"],"tags":["Computer security","Context (archaeology)","Safeguarding","Computer science","Smart grid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-09","doi":"https://doi.org/10.1145/3600160.3605043","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4318999657","name":"Metamodelling of Manufacturing Processes and Automation Workflows towards Designing and Operating Digital Twins","source":"openalex","abstract":"The automation of workflows for the optimization of manufacturing processes through digital twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have matured, while the plethora of available sensors and data processing methods can be used to address functionalities related to manufacturing processes, such as process monitoring and control, quality assessment and process modelling. However, technologies succeeding Computer-Integrated Manufacturing and several promising techniques, such as metamodelling languages, have not been exploited enough. To this end, a framework is presented, utilizing an automation workflow knowledge database, a classification of technologies and a metamodelling language. This approach will be highly useful for creating digital twins for both the design and operation of manufacturing processes, while keeping humans in the loop. Two process control paradigms are used to illustrate the applicability of such an approach, under the framework of certifiable human-in-the-loop process optimization.","url":"https://doi.org/10.3390/app13031945","authors":["Panagiotis Stavropoulos","Alexios Papacharalampopoulos","Kyriakos Sabatakakis","Dimitris Mourtzis"],"tags":["Workflow","Metamodeling","Automation","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-02","doi":"https://doi.org/10.3390/app13031945","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3208067891","name":"Improving energy efficiency while preserving historic buildings with digital twins and artificial intelligence","source":"openalex","abstract":"This study proposes a digitalization framework for historic buildings. In this framework, advanced techniques, like Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are utilized to create digital twins for historic buildings. A digital twin is a software representation of a physical object. This study uses digital twins to protect, predict, and optimize through analytics of real-time and historical data of selected features. Heterogeneous data of historic buildings, such as indoor environment, energy consumption metering, and outdoor climate, are collected with proper sensors or retrieved from other data sources. Then, these data are periodically uploaded and stored in the database of the cloud platform. Based on these data, AI models are trained through appropriate machine learning algorithms to monitor historic buildings, predict energy consumption, and control energy-consuming equipment autonomously to reach the balance of energy efficiency, building conservation, and human comfort. The cloud-based characteristic of our digitalization framework makes the digital twins developed in this study easy to be transplanted to many other historic buildings in Sweden and other countries.","url":"https://doi.org/10.1088/1755-1315/863/1/012041","authors":["Zhongjun Ni","Petra Eriksson","Yu Liu","Magnus Karlsson","Shaofang Gong"],"tags":["Cloud computing","Computer science","Energy consumption","Efficient energy use","Upload"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-01","doi":"https://doi.org/10.1088/1755-1315/863/1/012041","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2889106071","name":"Hardware-in-the-Loop Testing of Modern On-Board Power Systems Using Digital Twins","source":"openalex","abstract":"Simulation has always played an important role in the development, integration and deployment of aircraft, land vehicles and naval ships. Ever-increasing system design complexity also increased the necessity for more stringent testing and integration capabilities of these new topologies. Real-time simulators can be very useful tools to test, validate and integrate these complex devices. Maintenance and subsystem upgrades, common issues in such complex systems, cannot be easily done on the real systems, especially on larger systems like those in navy ships. This is when a real-time digital replica with Hardware-In-the-Loop capability is very useful. This type of system is also known as a ‘Digital Twin’. This approach is compatible with model-based design; a design philosophy that is based entirely on simulation models, from the specifications to release and field commissioning. In this paper, we describe the Digital Twin approach and explain it in the context of navy ships. Such systems usually integrate many subsystems, such as traction systems, power generation and auxiliary systems, all connected through various communication links. The test and integration requirements for such vehicle or land systems affect several levels of the control hierarchy; from low-level power electronic converters used for propulsion and auxiliary systems to high-level supervisory controls. In this paper, we will describe a HIL test made on a simplified zonal power system of a navy ship.","url":"https://doi.org/10.1109/speedam.2018.8445302","authors":["Christian Dufour","Zareh Soghomonian","Wei Li"],"tags":["Hardware-in-the-loop simulation","Navy","Electric power system","Propulsion","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-06-01","doi":"https://doi.org/10.1109/speedam.2018.8445302","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4312002383","name":"A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2022.120496","authors":["Yuguang Song","Mingchao Xia","Qifang Chen","Fangjian Chen"],"tags":["Flexibility (engineering)","Computer science","Fusion","Industrial engineering","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-20","doi":"https://doi.org/10.1016/j.apenergy.2022.120496","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4200080148","name":"Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.12.008","authors":["Shimin Liu","Yicheng Sun","Pai Zheng","Yuqian Lu","Jinsong Bao"],"tags":["Machining","Reliability (semiconductor)","Fidelity","Process (computing)","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-30","doi":"https://doi.org/10.1016/j.jmsy.2021.12.008","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4320085791","name":"Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach","source":"openalex","abstract":"Digital twin (DT) models are increasingly being used to improve the performance of complex manufacturing systems. In this context, DTs automatically enabling anomaly detection, such as increase in orders, and bottleneck identification, such as shortage of products, can significantly enhance decision-making to mitigate the consequences of the identified bottlenecks. The existing literature has mainly focused on implementing top-down approaches for analysing the bottlenecks without considering the emergent behaviour of micro-level agents, including inventory levels and human resources, and their impact on the macro-level system’s performance. In order to handle the aforementioned challenges, this paper extends the current literature by proposing a novel DT integrated in a multi-agent cyber physical system (CPS) for detecting anomalies in sensor data, while identifying and removing bottlenecks that emerge during the operation of complex manufacturing systems. An extended 5 C CPS architecture, using multi-agent approach, is implemented to allow DT integration. The agent-based simulation technique enables capturing the probabilistic variability, and aggregate parallelism and dynamism of parallel dynamic interactions within the DT-CPS. A new single agent at the exo-level of the multi-level agent-based modelling structure, called the ‘monitoring agent’, is introduced in this research. The agent detects anomalies and identify bottlenecks through communicating with other agents in different levels automatically. The DT-CPS provides feedback automatically to the physical space to remove and mitigate the identified bottlenecks. The proposed DT based multi-agent CPS has been tested successfully on a real case study in a cryogenic warehouse shop-floor from the cell and gene therapy industry. The performance of the studied cryogenic warehouse is continuously measured using real-time sensor data. The analyses of the results show that the proposed DT-CPS improves the utilisation rates of human resources, on average, by 30% supporting decision making and control in complex manufacturing systems.","url":"https://doi.org/10.1016/j.jmsy.2023.02.008","authors":["Christina Latsou","Maryam Farsi","John Ahmet Erkoyuncu"],"tags":["Bottleneck","Anomaly detection","Computer science","Identification (biology)","Multi-agent system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-11","doi":"https://doi.org/10.1016/j.jmsy.2023.02.008","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4403936055","name":"Manufacturing Digital Twin Standards","source":"openalex","abstract":"As a foundation of digital transformation, digital twins are critical for achieving smart manufacturing. Recent technology advancements, such as smart sensors, the Internet of Things (IoT), cloud computing, machine learning, and artificial intelligence (AI), have enabled digitalization in manufacturing and facilitated the development of digital twins in manufacturing. However, because of its interdisciplinary nature and complexity, guidance is still needed for the implementation of digital twins in manufacturing systems to ensure that the digital twin developed is trustworthy. This paper discusses manufacturing digital twin use cases, benefits, common challenges for implementing digital twins, relevant standards organizations, and industry consortia efforts, as well as ongoing efforts towards digital twin standards, focusing on the ISO standard, ISO 23247 - Digital Twin Framework for Manufacturing, and discusses digital twin standards development procedures.","url":"https://doi.org/10.1145/3652620.3688250","authors":["Guodong Shao"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-22","doi":"https://doi.org/10.1145/3652620.3688250","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4224284344","name":"Four Rs Framework for the development of a digital twin: The implementation of Representation with a FDM manufacturing machine","source":"openalex","abstract":"This work considers the conceptualization and design of a 4 Rs framework for creating a general purpose, modular Digital Twin. The 4 Rs, correspond to the 4 different phases of a Digital Twin implementation, namely Representation, Replication, Reality, and Relational. Representation is about understanding the physical system, its behavior, actions, components, relationships and describing the significant features for the identified use case as data and algorithms. Replication duplicates the chosen components/variables in a virtual environment from a set of inputs identified in Representation. Reality employs machine learning to produce a virtual device that runs independent of the physical device with the ability to make predictions, enhance models, provide alternative scenarios and optimizations. Reality enhances the virtual system to become autonomous and self-aware with the ability to make decisions and take corrective actions. We introduce these phases and outline their core elements and principles. We showcase the implementation of phase 1, Representation, using a Fused Deposition Modeling (FDM) additive manufacturing machine via temperature and position sensors. We evaluate their precision in representing the actual FDM machine and lay the foundation work for the implementation of the 4R framework in our next work.","url":"https://doi.org/10.1016/j.jmsy.2022.04.014","authors":["John Osho","Anna Hyre","Minas Pantelidakis","Allison Ledford","Gregory Harris","Jia Liu","Konstantinos Mykoniatis"],"tags":["Representation (politics)","Conceptualization","Modular design","Computer science","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-01","doi":"https://doi.org/10.1016/j.jmsy.2022.04.014","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3201390501","name":"A Digital Twin Approach for Contextual Assistance for Surgeons During Surgical Robotics Training","source":"openalex","abstract":"Minimally invasive robotic surgery copes with some disadvantages for the surgeon of minimally invasive surgery while preserving the advantages for the patient. Most commercially available robotic systems are telemanipulated with haptic input devices. The exploitation of the haptics channel, e.g., by means of Virtual Fixtures, would allow for an individualized enhancement of surgical performance with contextual assistance. However, it remains an open field of research as it is non-trivial to estimate the task context itself during a surgery. In contrast, surgical training allows to abstract away from a real operation and thus makes it possible to model the task accurately. The presented approach exploits this fact to parameterize Virtual Fixtures during surgical training, proposing a Shared Control Parametrization Engine that retrieves procedural context information from a Digital Twin. This approach accelerates a proficient use of the robotic system for novice surgeons by augmenting the surgeon's performance through haptic assistance. With this our aim is to reduce the required skill level and cognitive load of a surgeon performing minimally invasive robotic surgery. A pilot study is performed on the DLR MiroSurge system to evaluate the presented approach. The participants are tasked with two benchmark scenarios of surgical training. The execution of the benchmark scenarios requires basic skills as pick, place and path following. The evaluation of the pilot study shows the promising trend that novel users profit from the haptic augmentation during training of certain tasks.","url":"https://doi.org/10.3389/frobt.2021.735566","authors":["Katharina Hagmann","Anja Hellings-Kuß","Julian Klodmann","Rebecca Richter","Freek Stulp","Daniel Leidner"],"tags":["Computer science","Haptic technology","Robotic surgery","Benchmark (surveying)","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-21","doi":"https://doi.org/10.3389/frobt.2021.735566","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4317888229","name":"Relationship between digital twin and building information modeling: a systematic review and future directions","source":"openalex","abstract":"Purpose Digital twin (DT) and building information modeling (BIM) are interconnected in some ways. However, there has been some misconception about how DT differs from BIM. As a result, industry professionals reject DT even in BIM-based construction projects due to reluctance to innovate. Furthermore, researchers have repeatedly developed tools and techniques with the same goals using DT and BIM to assist practitioners in construction projects. Therefore, this study aims to assist industry professionals and researchers in understanding the relationship between DT and BIM and synthesize existing works on DT and BIM. Design/methodology/approach A systematic review was conducted on published articles related to DT and BIM. A total record of 54 journal articles were identified and analyzed. Findings The analysis of the selected journal articles revealed four types of relationships between DT and BIM: BIM is a subset of DT, DT is a subset of BIM, BIM is DT, and no relationship between BIM and DT. The existing research on DT and BIM in construction projects targets improvements in five areas: planning, design, construction, operations and maintenance, and decommissioning. In addition, several areas have emerged, such as developing geo-referencing approaches for infrastructure projects, applying the proposed methodology to other construction geometries and creating 3D visualization using color schemes. Originality/value This study contributed to the existing body of knowledge by overviewing existing research related to DT and BIM in construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research.","url":"https://doi.org/10.1108/ci-07-2022-0183","authors":["Afiqah R. Radzi","Nur Farhana Azmi","Syahrul Nizam Kamaruzzaman","Rahimi A. Rahman","Eleni Papadonikolaki"],"tags":["Building information modeling","Originality","Nuclear decommissioning","Construction industry","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-25","doi":"https://doi.org/10.1108/ci-07-2022-0183","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3200173188","name":"Review of Digital Twin-based Interaction in Smart Manufacturing: Enabling Cyber-Physical Systems for Human-Machine Interaction","source":"openalex","abstract":"After its introduction around 20 years ago, the Digital Twin (DT) approach has recently attracted much interest in shaping the next generation of manufacturing. In the last years, many definitions and descriptions of the DT have been published, examining different aspects of its implementation. This paper is the first to present an analysis on the integration and interaction of human and DT in smart manufacturing systems in form of a scoping review following the PRISMA-ScR methodology. It presents the current state of the art of DT-based human-machine interaction (HMI), its implications, and future research directions. Filtering from 278 publications over the last decade, the analysis includes 23 publications, all published from 2016 to 2020. The results show the predominant scenarios and applications of DT-based HMI and identify the current division of labor between human and DT. The paper concludes with an integration of these findings into a human-centered classification of DTs as well as future research directions.","url":"https://doi.org/10.1080/0951192x.2021.1963482","authors":["Jasper Wilhelm","Christoph Petzoldt","Thies Beinke","Michael Freitag"],"tags":["Smart manufacturing","Computer science","Human–machine system","Cyber-physical system","Human interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-13","doi":"https://doi.org/10.1080/0951192x.2021.1963482","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3209532762","name":"Digital Twins for Continuous mRNA Production","source":"openalex","abstract":"The global coronavirus pandemic continues to restrict public life worldwide. An effective means of limiting the pandemic is vaccination. Messenger ribonucleic acid (mRNA) vaccines currently available on the market have proven to be a well-tolerated and effective class of vaccine against coronavirus type 2 (CoV2). Accordingly, demand is presently outstripping mRNA vaccine production. One way to increase productivity is to switch from the currently performed batch to continuous in vitro transcription, which has proven to be a crucial material-consuming step. In this article, a physico-chemical model of in vitro mRNA transcription in a tubular reactor is presented and compared to classical batch and continuous in vitro transcription in a stirred tank. The three models are validated based on a distinct and quantitative validation workflow. Statistically significant parameters are identified as part of the parameter determination concept. Monte Carlo simulations showed that the model is precise, with a deviation of less than 1%. The advantages of continuous production are pointed out compared to batchwise in vitro transcription by optimization of the space–time yield. Improvements of a factor of 56 (0.011 µM/min) in the case of the continuously stirred tank reactor (CSTR) and 68 (0.013 µM/min) in the case of the plug flow reactor (PFR) were found.","url":"https://doi.org/10.3390/pr9111967","authors":["Heribert Helgers","Alina Hengelbrock","A. Schmidt","Jochen Strube"],"tags":["Messenger RNA","Continuous flow","Continuous stirred-tank reactor","Pandemic","In vitro"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-04","doi":"https://doi.org/10.3390/pr9111967","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4311455540","name":"Sustainable value in the fashion industry: A case study of value construction/destruction using digital twins","source":"openalex","abstract":"Abstract New technologies—especially the emergence of digital fashion and a growing interest in creating digital twins (DTs)—are expected to alter existing value chains in the fashion industry as DT technology triggers a redesign of value creation processes. This qualitative case study demonstrates how and to what extent the development of DTs in the fashion industry addresses the sustainability needs of various stakeholders in both real‐world and virtual‐reality settings. The article examines the possibilities, benefits, and challenges of creating sustainable value in two distinct ways: traditionally, through physical processes, and through digital transformation by employing virtual processes via DTs. The main implication for further research is to examine the distribution of value facilitated by DT among heterogeneous stakeholders.","url":"https://doi.org/10.1002/sd.2474","authors":["Ralf Wagner","Agnieszka Kabalska"],"tags":["Value creation","Sustainability","Value (mathematics)","Digital transformation","Sustainable Value"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-14","doi":"https://doi.org/10.1002/sd.2474","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4328053330","name":"Maneuvering between skepticism and optimism about hyped technologies: Building trust in digital twins","source":"openalex","abstract":"IT vendors’ promises are likely to meet sound skepticism from prospective clients. If a particular technology is in vogue and seen as a “hype,” clients are under pressure to buy the technology while, at the same time, skepticism about its claimed benefits might be reinforced. Finding a balance between optimism and skepticism is essential. In this qualitative case study, we examine how an oil and gas supplier company in Norway deals with different pressures when adopting and subsequently implementing digital twin (DT) technologies. DTs offer the promise of creating a digital representation of the physical assets that can keep production facilities operating efficiently and optimally and, as such, have been heralded as enabling the next frontier of productivity improvements. Our results reveal a set of different pressures promoting the decision to adopt the hyped technology. Yet, when descended to the local context, the hype status of DTs evokes multilevel perception segmentation that hype interpreters maneuver by building trust. Based on this analysis, we propose a framework of trust-building mechanisms that contribute to a more nuanced understanding of adoption of hyped technologies and enable practitioners to deal with hype-induced perception obstacles.","url":"https://doi.org/10.1016/j.im.2023.103787","authors":["Nataliia Korotkova","Jos Benders","Patrick Mikalef","David Cameron"],"tags":["Skepticism","Optimism","Context (archaeology)","Set (abstract data type)","Perception"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-21","doi":"https://doi.org/10.1016/j.im.2023.103787","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3092175286","name":"A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0","source":"openalex","abstract":"The booming customized and personalized demands call for new production paradigms that complies with that change. The ubiquitous connection, digitization and sharing in the context of Industry 4.0 present an opportunity for next-generation production paradigm-personalized production, to meet the booming personalized demands with individual needs and preferences. Personalized production refers to a customer-centric production paradigm, where individual needs and preferences are transformed into personalized products and services at an affordable cost, by maximizing the benefit of connection and sharing throughout the product life-cycle. This paper reviews and identifies the evolution of production paradigms. A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0 is proposed. Besides, the impact of the implementation of personalized production is discussed from the aspects of customer-centric business model, social and environmental effects and challenges of data ownership. This paper provides helpful guidance and reference for personalized production paradigm.","url":"https://doi.org/10.1109/case48305.2020.9216732","authors":["Daqiang Guo","Shiquan Ling","Hao Li","Di Ao","Tongda Zhang","Yiming Rong","George Q. Huang"],"tags":["Production (economics)","Context (archaeology)","Digitization","Computer science","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-01","doi":"https://doi.org/10.1109/case48305.2020.9216732","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3048815315","name":"A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12541-020-00403-y","authors":["De-Jun Cheng","Jie Zhang","Zhongtai Hu","Sheng-Hao Xu","Xifeng Fang"],"tags":["Machining","Process (computing)","Computer science","Predictability","Line (geometry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-11","doi":"https://doi.org/10.1007/s12541-020-00403-y","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4400826970","name":"Digital twin technology for renewable energy microgrids","source":"openalex","abstract":"Digital Twin Technology (DTT) is an emerging innovation poised to revolutionize the management and optimization of renewable energy microgrids. A digital twin is a virtual replica of a physical system, integrating real-time data, simulations, and machine learning to provide a dynamic, interactive model of the actual environment. In the context of renewable energy microgrids, DTT offers significant benefits in efficiency, reliability, and sustainability. Renewable energy microgrids, which include solar panels, wind turbines, and energy storage systems, are complex networks that require precise management to balance supply and demand, maximize energy efficiency, and ensure stability. By creating a digital twin of these microgrids, operators can monitor real-time performance, predict potential failures, and optimize operations. This virtual model enables predictive maintenance, reducing downtime and extending the lifespan of equipment by identifying issues before they lead to critical failures. Furthermore, DTT facilitates advanced energy management strategies. Through simulations, it can evaluate various scenarios, such as fluctuating energy demands, changing weather conditions, and equipment performance variations. These simulations help in designing robust control strategies and improving the integration of renewable energy sources, leading to better energy storage utilization and reduced reliance on fossil fuels. Another critical advantage is the enhancement of grid resilience. Digital twins can simulate the impact of extreme weather events and other disruptions, allowing operators to develop and test contingency plans in a risk-free environment. This capability is vital for ensuring continuous energy supply and mitigating the effects of unexpected outages. Digital Twin Technology offers a transformative approach to managing renewable energy microgrids. By providing a comprehensive, real-time virtual model, DTT enhances operational efficiency, predictive maintenance, energy management, and grid resilience. As the renewable energy sector continues to grow, the integration of digital twins will be instrumental in optimizing the performance and sustainability of microgrid systems. Keywords: Digital Twin, Renewable, Energy, Microgrids.","url":"https://doi.org/10.51594/estj.v5i7.1319","authors":["Kelvin Edem Bassey","Jesse Opoku-Boateng","Bernard Owusu Antwi","Afari Ntiakoh","Ayanwunmi Rebecca Juliet"],"tags":["Renewable energy","Environmental science","Computer science","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-19","doi":"https://doi.org/10.51594/estj.v5i7.1319","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W2998091302","name":"Energy Planning of Pigsty Using Digital Twin","source":"openalex","abstract":"Digital twin as a bridge between the physical and digital world is becoming more attractive with the realization of the industry 4.0. With the deployment of digital twin, pigsty has been replicated and simulated to find out more comfortable feeding environments in the digital world and applies outcomes to pigsty in the real world. In this paper, we propose a use case in the pigsty realized by digital twin and analyze energy related performance under a variety of virtual objects. The results provide the pigsty with criterion on installing new equipments without being installed.","url":"https://doi.org/10.1109/ictc46691.2019.8940032","authors":["Seng‐Kyoun Jo","Dae‐Heon Park","Hyeon Park","Young Hoon Kwak","Se-Han Kim"],"tags":["Software deployment","Computer science","Variety (cybernetics)","Realization (probability)","Bridge (graph theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/ictc46691.2019.8940032","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4294690840","name":"Digital Twin Analysis for Driving Risks Based on Virtual Physical Simulation Technology","source":"openalex","abstract":"A digital twin is a mapping of real world objects in virtual space. For the study of traffic safety issues, digital twins have great potential to facilitate more accurate and detailed risk analysis. In this study, a digital twin method for highway driving safety analysis is proposed, which consists of three parts: Extracting vehicle motion information in the real world, constructing vehicle motion scenes in the virtual world, and analyzing vehicle driving risks. Firstly, aerial video of vehicle motion is captured by drone, while the microscopic vehicle trajectories are extracted from the video using machine vision algorithms. Secondly, the digital twin of vehicles and roads is constructed, while the motion behavior of vehicles is mapped in a digital space based on virtual physical simulation technology. Finally, according to the stability and trajectory deviation, the driving risks of the vehicle are evaluated, including sideslip, rollover, and guardrail collision. Through a case study, the effectiveness of the proposed digital twin method in driving risk assessment is verified, and one vehicle is found to have a higher driving risk.","url":"https://doi.org/10.1109/jrfid.2022.3203694","authors":["Bo Wang","Chi Zhang","Min Zhang","Changhe Liu","Zilong Xie","Hong Zhang"],"tags":["Rollover (web design)","Motion (physics)","Computer science","Trajectory","Drone"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/jrfid.2022.3203694","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3209720383","name":"Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin","source":"openalex","abstract":"The concept of digital twin is based on the linkage of a physical system with a digital model-based representation and shows numerous potentials in additive manufacturing (AM). The existing approaches related to digital twins of AM mainly focus on the process, machine, and factory levels to monitor and optimize the process and system performance of AM. This study aims at the machine level and adopts augmented reality (AR) to develop a digital twin for a material extrusion printer. To provide a digital representation of the printing process of a component, this study has proposed an approach using cumulated small cylinders to approximate the geometry of the component, which is called “Volume Approximation by Cumulated Cylinders (VACCY)”. To monitor the economic and environmental performance, this study has modeled four process indicators (electricity use, manufacturing cost, greenhouse gas emission, and primary energy consumption) and integrated them in the AR-based digital twin. Through the test of the developed digital twin for printing three components, the feasibility and performance of the developed digital twin are well demonstrated.","url":"https://doi.org/10.1016/j.addma.2021.102388","authors":["Li Yi","Moritz Glatt","Svenja Ehmsen","Wentao Duan","Jan C. Aurich"],"tags":["Process (computing)","Component (thermodynamics)","Representation (politics)","Linkage (software)","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-25","doi":"https://doi.org/10.1016/j.addma.2021.102388","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2526187616","name":"Digital Twin Concepts in Manufacturing Industries - A Literature Review and Avenues for Further Research","source":"openalex","abstract":"Within the profound digitalization in manufacturing industries, the concept of a virtual, digital equivalent to a physical product has gained increasingly attention. Labeled as digital twin, product avatar, or cyber-physical equivalence, various manifestations in different contexts can be detected in existing literature. Although both practitioners and researchers predict those digital twin concepts a bright future, it is not clear what the current state of research is. Hence, guided by an established literature review methodology and grounded on an in-depth analysis of 38 articles published in the time period from 2001 to 2016, this paper (1) provides an overview on established concepts, (2) classifies the existing body of literature, (3) provides a lifecycle perspective on applications, and (4) suggests directions for further research. With the limitation of the representative and interpretive character, our review contributes by enhancing transparency and understanding of digital twin concepts and supplying ideas and directions for future work.","url":"https://openalex.org/W2526187616","authors":["Manuel Holler","Falk Uebernickel","Walter Brenner"],"tags":["Transparency (behavior)","Perspective (graphical)","Product (mathematics)","Avatar","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-01-01","doi":"","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4392378120","name":"A Review on Digital Twins and Its Application in the Modeling of Photovoltaic Installations","source":"openalex","abstract":"Industry 4.0 is in continuous technological growth that benefits all sectors of industry and society in general. This article reviews the Digital Twin (DT) concept and the interest of its application in photovoltaic installations. It compares how other authors use the DT approach in photovoltaic installations to improve the efficiency of the renewable energy generated and consumed, energy prediction and the reduction of the operation and maintenance costs of the photovoltaic installation. It reviews how, by providing real-time data and analysis, DTs enable more informed decision-making in the solar energy sector. The objectives of the review are to study digital twin technology and to analyse its application and implementation in PV systems.","url":"https://doi.org/10.3390/en17051227","authors":["Dorotea Dimitrova Angelova","Diego Carmona-Fernández","Manuel Calderón","Juan Antonio Álvarez Moreno","Juan Félix González González"],"tags":["Photovoltaic system","Computer science","Engineering physics","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-04","doi":"https://doi.org/10.3390/en17051227","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4297873165","name":"Digital twin based condition monitoring approach for rolling bearings","source":"openalex","abstract":"Abstract Digital twin is an important technology for grasping states of mechanical systems in real time. However, there are few studies on how to establish life-cycle digital twin models of bearings. In order to accurately estimate the condition of bearings, a digital twin model of bearing life cycle (BLDT) is proposed to achieve equivalent information on the virtual entity (VE) model and physical entity (PE) model. First, a dynamic model of rolling bearings and defect evolution model are established to simulate the dynamic response of the bearing performance degradation process. Then, the physical characteristics and degradation information of the PE model are exchanged with the VE model to evaluate the time-varying defect size and the equivalent comprehensive stiffness. The evolution law of the life-cycle is obtained through a neural network. Finally, the network parameters are introduced into the VE model to obtain dynamic response results of the life-cycle bearing dynamic model of other datasets under the same working conditions. By comparing the obtained digital twin results with experiment signals in the time and frequency domains, the accuracy and effectiveness of the BLDT model are verified.","url":"https://doi.org/10.1088/1361-6501/ac9153","authors":["Liang Guo","Zhuyuxiu Zong","Ruiqi Zhang","Hongli Gao","Guihao Li","Zhe Cheng"],"tags":["Bearing (navigation)","Computer science","Stiffness","Process (computing)","Control theory (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-12","doi":"https://doi.org/10.1088/1361-6501/ac9153","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4281716476","name":"Machine learning enhancement of manoeuvring prediction for ship Digital Twin using full-scale recordings","source":"openalex","abstract":"Digital Twins have much attention in the shipping industry, attempting to support all phases of a vessel’s life cycle. With several tools appearing in Digital Twin software suites, high-quality manoeuvring and performance prediction remain cornerstones. Propulsion efficiency is in focus while in service. Simulator-based training is in focus to ensure safety of manoeuvring in confined waters and harbours. Prediction of ships’ velocity and turn rate are essential for correct look and feel during training, but phenomena like dynamic inflow to propellers, bank and shallow water effects limit simulators’ accuracy, and master mariners often comment that simulations could be in better agreement with actual behaviours of their vessel. This paper focuses on digital twin enhancements to better match reality. Using data logged during in-service operation, we first consider a system identification perspective, employing a first-principles model structure. Showing that a complete first-principles model is not identifiable under the excitation met in service, we employ a Recurrent Neural Network to predict deviations between measured velocities and the model output. The outcome is a hybrid of a first-principles model with a machine learning generic approximator add-on. The paper demonstrates significant improvements in prediction accuracy of both in-harbour manoeuvring and shallow water passage conditions.","url":"https://doi.org/10.1016/j.oceaneng.2022.111579","authors":["Rasmus E. Nielsen","Dimitrios Papageorgiou","Lazaros Nalpantidis","Bugge T. Jensen","Mogens Blanke"],"tags":["Scale (ratio)","Full scale","Computer science","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-03","doi":"https://doi.org/10.1016/j.oceaneng.2022.111579","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4362638802","name":"Live semantic data from building digital twins for robot navigation: Overview of data transfer methods","source":"openalex","abstract":"Increasing reliance on automation and robotization presents great opportunities to improve the management of construction sites as well as existing buildings. Crucial in the use of robots in a built environment is their capacity to locate themselves and navigate as autonomously as possible. Robots often rely on planar and 3D laser scanners for that purpose, and building information models (BIM) are seldom used, for a number of reasons, namely their unreliability, unavailability, and mismatch with localization algorithms used in robots. However, while BIM models are becoming increasingly reliable and more commonly available in more standard data formats (JSON, XML, RDF), they become more promising and reliable resources for localization and indoor navigation, in particular in the more static types of existing infrastructure (existing buildings). In this article, we specifically investigate to what extent and how such building data can be used for such robot navigation. Data flows are built from BIM model to local repository and further to the robot, making use of graph data models (RDF) and JSON data formats. The local repository can hereby be considered to be a digital twin of the real-world building. Navigation on the basis of a BIM model is tested in a real world environment (university building) using a standard robot navigation technology stack. We conclude that it is possible to rely on BIM data and we outline different data flows from BIM model to digital twin and to robot. Future work can focus on (1) making building data models more reliable and standard (modelling guidelines and robot world model), (2) improving the ways in which building features in the digital building model can be recognized in 3D point clouds observed by the robots, and (3) investigating possibilities to update the BIM model based on robot feedback.","url":"https://doi.org/10.1016/j.aei.2023.101959","authors":["Pieter Pauwels","Rens de Koning","Bob Hendrikx","Elena Torta"],"tags":["CityGML","Building information modeling","Robot","Computer science","JSON"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-01","doi":"https://doi.org/10.1016/j.aei.2023.101959","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4399127402","name":"Verification and validation of digital twins: a systematic literature review for manufacturing applications","source":"openalex","abstract":"Digital Twin (DT) is a concept of growing interest, driven by the technological advancements related to Industry 4.0. DT combines innovative technologies to create a virtual model replicating the physical system and allowing bi-directional data flow. However, to use DTs in support of decision-making, it is essential to have trust in the model and all components of the DT throughout its development. Verification and Validation (V&V) have traditionally been employed to assess models’ credibility, providing a venue for the development of trust. Therefore, V&V are essential foundations for developing DTs that can support decisions in real-world environments. Through a systematic literature review, this research investigated whether and how researchers are employing V&V in DTs for manufacturing applications. It was concluded that very little research was reported to have performed both verification and validation of the developed DTs. The study also examined the most commonly used V&V techniques and explored their relationship with DT capability level and application areas. It was concluded that there is a lack of standard procedures to conduct V&V and a lack of agreement on the V&V objectives. This research uncovers the main challenges to verifying and validating DTs and future research directions to develop trusted DTs.","url":"https://doi.org/10.1080/00207543.2024.2357741","authors":["Julia Bitencourt","Ana Wooley","Gregory Harris"],"tags":["Credibility","Computer science","Model validation","Systematic review","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-29","doi":"https://doi.org/10.1080/00207543.2024.2357741","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4390969343","name":"Digital twins in healthcare and biomedicine","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-443-21598-8.00011-7","authors":["Abdülhamit Subaşı","Muhammed Enes Subasi"],"tags":["Biomedicine","Personalization","SAFER","Disease","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/b978-0-443-21598-8.00011-7","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4407225421","name":"Leveraging Digital Twins for Enhancing Building Energy Efficiency: A Literature Review of Applications, Technologies, and Challenges","source":"openalex","abstract":"Amid global efforts to mitigate greenhouse gas emissions, improving the energy efficiency of buildings has emerged as a strategic priority. Buildings account for approximately 40% of global energy consumption and a significant share of CO2 emissions, making them key targets for sustainable practices. This study employs a systematic literature review combined with a bibliometric analysis to explore the transformative potential of digital twins in building energy efficiency. The review synthesizes key contributions of digital twins in real-time monitoring, predictive modeling, renewable energy integration, and proactive maintenance while addressing critical challenges such as interoperability, scalability, and privacy. The originality of this work lies in its integrated approach, which identifies emerging trends and research gaps, providing actionable insights to guide the future adoption of digital twins in the building sector. These findings highlight the pivotal role of digital twins in fostering sustainable and intelligent energy practices.","url":"https://doi.org/10.3390/buildings15030498","authors":["Amina Sghiri","Maryam Gallab","Safae Merzouk","Saliha Assoul"],"tags":["Interoperability","Greenhouse gas","Efficient energy use","Renewable energy","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-05","doi":"https://doi.org/10.3390/buildings15030498","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4220678302","name":"Construction and application of smart factory digital twin system based on DTME","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-022-08971-1","authors":["Luyao Xia","Jianfeng Lu","Hao Zhang","Mengying Xu","Zhaojia Li"],"tags":["Factory (object-oriented programming)","Manufacturing engineering","Domain (mathematical analysis)","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-14","doi":"https://doi.org/10.1007/s00170-022-08971-1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3216464446","name":"A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures","source":"openalex","abstract":"The application of protective coating systems is the major measure against the corrosion of steel for tower sections of wind turbines. The inspection, condition monitoring and maintenance of protective coating system is a demanding and time-consuming procedure and requires high human effort. The paper introduces for the first time a Digital Twin concept for the condition monitoring and prescriptive maintenance planning for surface protection systems on wind turbine towers. The initial point of the concept is an in-situ Virtual Twin for the generation of reference areas for condition monitoring. The paper describes the integration of an online image annotation and processing tool, a maintenance model, corrosive resistance parameters, structural load parameters, and sensor data into the Digital Twin concept. The prospects of the concept and its practical relevance are shown for tower structures of large onshore wind turbines.","url":"https://doi.org/10.1177/0309524x211060550","authors":["Andreas W. Momber","Torben Möller","Daniel Langenkämper","Tim W. Nattkemper","Daniel Brün"],"tags":["Turbine","Tower","Wind power","Engineering","Turbine blade"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-01","doi":"https://doi.org/10.1177/0309524x211060550","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4395008450","name":"Enhancing Reliability in Floating Offshore Wind Turbines through Digital Twin Technology: A Comprehensive Review","source":"openalex","abstract":"This comprehensive review explores the application and impact of digital twin (DT) technology in bolstering the reliability of Floating Offshore Wind Turbines (FOWTs) and their supporting platforms. Within the burgeoning domain of offshore wind energy, this study contextualises the need for heightened reliability measures in FOWTs and elucidates how DT technology serves as a transformative tool to address these concerns. Analysing the existing scholarly literature, the review encompasses insights into the historical reliability landscape, DT deployment methodologies, and their influence on FOWT structures. Findings underscore the pivotal role of DT technology in enhancing FOWT reliability through real-time monitoring and predictive maintenance strategies, resulting in improved operational efficiency and reduced downtime. Highlighting the significance of DT technology as a potent mechanism for fortifying FOWT reliability, the review emphasises its potential to foster a robust operational framework while acknowledging the necessity for continued research to address technical intricacies and regulatory considerations in its integration within offshore wind energy systems. Challenges and opportunities related to the integration of DT technology in FOWTs are thoroughly analysed, providing valuable insights into the role of DTs in optimising FOWT reliability and performance, thereby offering a foundation for future research and industry implementation.","url":"https://doi.org/10.3390/en17081964","authors":["Bai-Qiao Chen","Kun Liu","Tongqiang Yu","Ruoxuan Li"],"tags":["Offshore wind power","Reliability (semiconductor)","Wind power","Marine engineering","Submarine pipeline"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-20","doi":"https://doi.org/10.3390/en17081964","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3036215542","name":"A Product Quality Monitor Model With the Digital Twin Model and the Stacked Auto Encoder","source":"openalex","abstract":"With the development of intelligent manufacturing and computer science, the system of equipment in the workshop has become more and more complex. In the intricate environment, the state of device changes constantly, which could affect the accuracy of methods since they cannot adapt the changing context. Recently, Digital Twin (DT) has received great focus among academic world and industrial world, which provides a new normal form for solving problems. In this paper, the structure of DT is discussed and a DT and Stacked Auto Encoder (SAE) Based Model is proposed to monitor the product quality. Based on the classical structure of DT, the digital model of DT is further divided into two parts, a task-achieved part and a self-update part. The former that comprises an encoder network that is a part of SAE and an Artificial Neural Network (ANN)-based classifier could check whether products are qualified. And a decoder network, another part of SAE, and a parameters-update rule make up the self-update part that could detect the accuracy of the task-achieved part and retrain the neural networks as the accuracy is poor. Furthermore, a new loss function is put forward as a training criterion in order to magnify the tiny difference between input data and result. In order to emulate the changing environment, the experimental data are collected at two different points in time. The data are then input to the proposed model and two other traditional methods to test the ability of accuracy and the adaptability for changing context. The comparisons show that the proposed method has got improvements, especially in where the effect of working environment is significant.","url":"https://doi.org/10.1109/access.2020.3003723","authors":["Shizheng Zhang","Cunfeng Kang","Zhifeng Liu","Wu Juan","Chunmin Ma"],"tags":["Computer science","Artificial neural network","Adaptability","Artificial intelligence","Classifier (UML)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1109/access.2020.3003723","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4389522467","name":"GRU-based digital twin framework for data allocation and storage in IoT-enabled smart home networks","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.future.2023.12.009","authors":["Sushil Kumar Singh","Manish Kumar","Sudeep Tanwar","Jong Hyuk Park"],"tags":["Computer science","Smart city","Home automation","Authentication (law)","Smart environment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-10","doi":"https://doi.org/10.1016/j.future.2023.12.009","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4386260714","name":"Digital Twin-Enabled Service Satisfaction Enhancement in Edge Computing","source":"openalex","abstract":"The emerging digital twin technique enhances the network management efficiency and provides comprehensive insights, through mapping physical objects to their digital twins. The user satisfaction on digital twin-enabled query services relies on the freshness of digital twin data, which is measured by the Age of Information (AoI). Because the remote cloud faces challenges in providing data for users due to long service delays, Mobile Edge Computing (MEC), as a promising technology, offers real-time data communication between physical objects and their digital twins at the edge of the core network. However, the mobility of physical objects and dynamic query arrivals make efficient service provisioning in MEC become challenging. In this paper, we investigate the dynamic digital twin placement for improving user service satisfaction in MEC environments. We focus on two user service satisfaction augmentation problems under both static and dynamic digital twin placement schemes: the static and dynamic utility maximization problems. We first formulate an Integer Linear Programming (ILP) solution to the static utility maximization problem when the problem size is small; otherwise, we propose a performance- guaranteed approximation algorithm for it. We then devise an online algorithm for the dynamic utility maximization problem with a provable competitive ratio. Finally, we evaluate the performance of the proposed algorithms through experimental simulations. Simulation results demonstrate that the proposed algorithms outperform the comparison baseline algorithms, and the performance improvement is no less than 11.6%, compared with the baseline algorithms.","url":"https://doi.org/10.1109/infocom53939.2023.10228893","authors":["Jing Li","Jianping Wang","Quan Chen","Yuchen Li","Albert Y. Zomaya"],"tags":["Computer science","Cloud computing","Provisioning","Enhanced Data Rates for GSM Evolution","Maximization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-17","doi":"https://doi.org/10.1109/infocom53939.2023.10228893","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4394927136","name":"Current trends in digital twin development, maintenance, and operation: an interview study","source":"openalex","abstract":"Abstract Digital twins (DTs) are often defined as a pairing of a physical entity and a corresponding virtual entity (VE), mimicking certain aspects of the former depending on the use-case. In recent years, this concept has facilitated numerous use-cases ranging from design to validation and predictive maintenance of large and small high-tech systems. Various heterogeneous cross-domain models are essential for such systems, and model-driven engineering plays a pivotal role in the design, development, and maintenance of these models. We believe models and model-driven engineering play a similarly crucial role in the context of a VE of a DT. Due to the rapidly growing popularity of DTs and their use in diverse domains and use-cases, the methodologies, tools, and practices for designing, developing, and maintaining the corresponding VEs differ vastly. To better understand these differences and similarities, we performed a semi-structured interview research with 19 professionals from industry and academia who are closely associated with different lifecycle stages of digital twins. In this paper, we present our analysis and findings from this study, which is based on seven research questions. In general, we identified an overall lack of uniformity in terms of the understanding of digital twins and used tools, techniques, and methodologies for the development and maintenance of the corresponding VEs. Furthermore, considering that digital twins are software intensive systems, we recognize a significant growth potential for adopting more software engineering practices, processes, and expertise in various stages of a digital twin’s lifecycle.","url":"https://doi.org/10.1007/s10270-024-01167-z","authors":["Hossain Muhammad Muctadir","David A. Manrique Negrin","Raghavendran Gunasekaran","Loek Cleophas","Mark van den Brand","Boudewijn R. Haverkort"],"tags":["Computer science","Current (fluid)","Engineering management","Software engineering","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-18","doi":"https://doi.org/10.1007/s10270-024-01167-z","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4327973750","name":"Digital twins for asset management: Social network analysis-based review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2023.104833","authors":["Kolade Arisekola","Katherine L. Madson"],"tags":["Betweenness centrality","Centrality","Salient","Social network analysis","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-20","doi":"https://doi.org/10.1016/j.autcon.2023.104833","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4210607692","name":"Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model","source":"openalex","abstract":"The concept of Digital Twin is creating and maintaining a digital representation of the real physical entity and supporting its performance utilizing simulation and optimization tools, which are fed with the real data obtained from the physical equipment. Development and implementation of the Digital Twin technology are one of the main challenges for today’s industry, more detailed studies are needed on design methods for Digital Twins. Besides using Digital Twin as a high-quality simulation, one of the commitments is monitoring and maintaining control of the whole system via a constant live link between virtual and physical entities. The related research study presents a detailed structural description of the developed Digital Twin virtual entity and the development of a framework that allows Robot Operating System (ROS) to securely communicate with remote Digital Twins via the Internet and harness ROS’s adaptability across vast distances and multiple systems. This paper is an extended version of the authors’ International Conference on Electrical Power Drive Systems (ICEPDS20) paper, in which we propose a development case study of Digital Twin for an electric motor based on an empirical performance model.","url":"https://doi.org/10.1109/access.2022.3148708","authors":["Anton Rassõlkin","Viktor Rjabtšikov","Vladimir Kuts","Toomas Vaimann","Ants Kallaste","Bilal Asad","Andriy Partyshev"],"tags":["Computer science","Adaptability","The Internet","Empirical research","Digital control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3148708","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4309551387","name":"Digital twins and land management in South Korea","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.landusepol.2022.106442","authors":["Jung-ho Park","WonGeun Choi","TaeYun Jeong","JinJae Seo"],"tags":["Geospatial analysis","Land management","Land use","Obstacle","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-20","doi":"https://doi.org/10.1016/j.landusepol.2022.106442","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4404024222","name":"A novel digital-twin approach based on transformer for photovoltaic power prediction","source":"pubmed","abstract":"The prediction of photovoltaic (PV) system performance has been intensively studied as it plays an important role in the context of sustainability and renewable energy generation. In this paper, a digital twin (DT) model based on a domain-matched transformer is proposed using convolutional neural network (CNN) for domain-invariant feature extraction, transformer for PV performance prediction, and domain adaptation neural network (DANN) for domain adaptation. The effectiveness of the proposed framework is validated using a PV power prediction dataset. The results indicate an accuracy improvement of up to 39.99% in model performance. Additionally, experiments with varying numbers of timestamps demonstrate enhanced PV power prediction performance as parameters are continuously updated within the DT framework, offering a reliable solution for real-time and adaptive PV power forecasting.","url":"https://doi.org/10.1038/s41598-024-76711-4","authors":["Xi Zhao","Zhao X"],"tags":["Photovoltaic system","Computer science","Transformer","Electrical engineering","Engineering"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 4","doi":"https://doi.org/10.1038/s41598-024-76711-4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4327500328","name":"Privacy and Security Issues for Human Digital Twins","source":"openalex","abstract":"Digital Twin (DT) technology has recently attracted researchers’ and industries’ interest, becoming popular in many domains thanks to its capability to improve systems performance. This technology comprises a virtual model representing a physical entity. The physical and the virtual twins are connected to allow data sharing, aiming to provide real-time monitoring and decision processes. Human Digital Twins (HDTs) are a particular type of DTs in which the virtual twin models a human being. HDTs are applied, for instance, in healthcare to constantly monitor a patient, allowing medical staff to determine the best treatment on the DT. Although the benefits of DT and HDT are manifold, they suffer from cybersecurity risks that have only recently started to be considered. Moreover, the massive usage of HDTs poses serious privacy issues since HDTs leverage personal information that might be sensitive. In this paper, we aim to illustrate the threats affecting DTs. Then, we focus on specific threats affecting HDTs with a vision towards future research directions.","url":"https://doi.org/10.1109/tps-isa56441.2022.00011","authors":["Giorgia Sirigu","Barbara Carminati","Elena Ferrari"],"tags":["Computer science","Leverage (statistics)","Computer security","Focus (optics)","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.1109/tps-isa56441.2022.00011","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4315785694","name":"Health assessment framework of marine engines enabled by digital twins","source":"openalex","abstract":"The advancements in digital twins when combined with the use of the machine learning tools can facilitate the effective health assessment and diagnostics of safety critical systems. This study aims at developing a framework to address the health assessment of marine engines utilising digital twins based on first-principles. This framework follows four distinct stages, with the former two including the marine engine digital-twin set up by customising the required thermodynamic models, as well as its calibration using tests trials data representing the engine healthy conditions. In the third stage, measurements from actual operating conditions are corrected and subsequently employed to develop the digital twin representing the prevailing conditions. The fourth stage deals with the engine health assessment by assessing health metrics derived from the developed digital twins. This framework is demonstrated in a case study of a large marine four-stroke nine-cylinder propulsion engine. The results demonstrate that three cylinders are identified to be underperforming leading to an average increase of the engine Brake Specific Fuel Consumption (BSFC) by 2.1%, whereas an average decreases of 6.8% in Indicated Mean Effective Pressure (IMEP) and 6.1% in the Exhaust Gas Temperature (EGT) are exhibited for the underperforming cylinders across the entire operating envelope. The developed digital twins facilitate the effective mapping of the engine performance for the entire operating envelope under several health conditions, providing enhanced insights for the current engine health status. The advantages of the proposed framework include the use of easily obtained data, and its application to several engine types including two and four-stroke engines for both propulsion and auxiliary use.","url":"https://doi.org/10.1177/14680874221146835","authors":["Konstantinos-Marios Tsitsilonis","Γεράσιμος Θεοτοκάτος","Chaitanya Patil","Andrea Coraddu"],"tags":["Propulsion","Computer science","Automotive engineering","Digital health","Fuel efficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-12","doi":"https://doi.org/10.1177/14680874221146835","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3164573835","name":"Recent Advancements in Battery Management System for Li‐Ion Batteries of Electric Vehicles: Future Role of Digital Twin, Cyber‐Physical Systems, Battery Swapping Technology, and Nondestructive Testing","source":"openalex","abstract":"The increasing popularity of the electric vehicles (EVs) is due to various environmental impacts of the gasoline‐/diesel‐based vehicles over the past few decades. EVs are commercialized in various parts of world but their full‐scale commercialization has not yet attained. Despite of many advantages, challenges associated with the use of EVs are their range anxiety, slow charging, and the performance/cost of battery. A thorough review from the year 2006 to 2020 is conducted in the field of battery management system (BMS). Herein, various functions, advantages, and disadvantages of methods used in BMS for cell balancing, thermal management, and protection of battery against over‐voltage and over current, estimation of state of health, and estimation of state of charge of battery are discussed. Additionally, critical gaps are identified and a framework for design of an efficient BMS is proposed. The deployment of advanced intelligent and smart technologies such as digital‐twin of battery pack, cyber‐physical systems, battery swapping technology, nondestructive testing, self‐reconfigurable batteries, and prudent recycling/reusability using automation are also discussed. In‐brief, critical gaps; advanced technologies and framework that researchers can use to develop comprehensive systems comprising advanced BMS; real‐time battery monitoring, and battery reusability and recycling; as a whole complete unit are provided.","url":"https://doi.org/10.1002/ente.202000984","authors":["Nitika G. Panwar","Surinder Singh","Akhil Garg","Abhishek Kumar Gupta","Liang Gao"],"tags":["Battery (electricity)","Battery pack","Engineering","State of health","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-20","doi":"https://doi.org/10.1002/ente.202000984","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4385772316","name":"A state-of-the-art digital factory integrating digital twin for laser additive and subtractive manufacturing processes","source":"openalex","abstract":"Purpose This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations. Design/methodology/approach This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques. Findings A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions. Originality/value Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.","url":"https://doi.org/10.1108/rpj-03-2023-0113","authors":["Usman Tariq","Ranjit Joy","Sung-Heng Wu","Muhammad Arif Mahmood","Asad Waqar Malik","Frank Liou"],"tags":["Computer science","Analytics","Digital manufacturing","Factory (object-oriented programming)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.1108/rpj-03-2023-0113","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4285287395","name":"Digital Twin: A City-Scale Flood Imitation Framework","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-19-1065-4_48","authors":["Maysara Ghaith","Ahmed Yosri","Wael El‐Dakhakhni"],"tags":["Flood myth","Climate change","Smart city","Preparedness","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-981-19-1065-4_48","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4403331548","name":"An Urban Digital Twin Framework for Reference and Planning","source":"openalex","abstract":"Urban management systems evolve from merely overseeing urban growth to comprehending interactions among cities’ natural, physical, cyber, and social systems. Urban digital twins leverage emerging technologies and serve as platforms to support city transitions. However, a generic urban digital twin framework with essential building blocks leading to a sustainable urban digital transformation is lacking, as most urban digital twin implementations focus on specific application areas and usages. In addition, as urban digital twins are rather new developments, it is important to clarify their concept, definition, and characteristics, including their joint components and functions. This paper presents findings from a domain analysis based on a systematic literature review on urban digital twins, including investigating the concept, definition, and characteristics of urban digital twins and identifying joint components and functions as building blocks for developing a conceptual framework of urban digital twins for sustainable digital transformation. In total, we identified six main components that could be subdivided into 16 sub-components. Moreover, we identified four main features that could be subdivided into ten sub-features. A conceptual framework for urban digital twins is proposed based on those components and features. Two case studies were conducted to illustrate the framework’s applicability. It is an overarching goal that the proposed framework will become a useful reference and decision-making tool for urban planners, designers, constructors, and others.","url":"https://doi.org/10.1109/access.2024.3478379","authors":["Ahmad Afif Supianto","Wajeeha Nasar","Dina Margrethe Aspen","Agus Hasan","Anniken Karlsen","Ricardo da Silva Torres"],"tags":["Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3478379","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4389513764","name":"IoT-digital twin-inspired smart irrigation approach for optimal water utilization","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.suscom.2023.100947","authors":["Ankush Manocha","Sandeep K. Sood","Munish Bhatia","Sandeep Kumar Sood"],"tags":["Irrigation","Computer science","Context (archaeology)","Agriculture","Agricultural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-09","doi":"https://doi.org/10.1016/j.suscom.2023.100947","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"oa:W4292830141","name":"Integration Of The Mape-K Loop In Digital Twins","source":"openalex","abstract":"In recent years the concept of Digital Twins (DTs) has gained significant attention, in particular in the manufacturing industry. In proper DTs there is a bidirectional connection to/from their Physical Twins such that it is possible to leave humans out of the loop. However, the underlying ideas of DTs have been inspired from a number of different scientific communities, in particular in relation to autonomy including the “Monitor-Analyze-Plan-Execute over a shared Knowledge” (MAPE-K). In this paper, we bridge the two concepts by demonstrating an implementation of a MAPE-K loop for an incubator case study within the context of its DT. We also discuss some of the limitations of the MAPE-K concept when applied to Cyber-Physical Systems (CPS).","url":"https://doi.org/10.23919/annsim55834.2022.9859489","authors":["Hao Feng","Cláudio Gomes","Santiago Gil","Peter Høgh Mikkelsen","Daniella Tola","Peter Gorm Larsen","Michael Sandberg"],"tags":["Context (archaeology)","Bridge (graph theory)","Computer science","Relation (database)","Loop (graph theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-18","doi":"https://doi.org/10.23919/annsim55834.2022.9859489","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3119624659","name":"Proposal of digital twin for testing and measuring of transport belts for pipe conveyors within the concept Industry 4.0","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.measurement.2021.108978","authors":["Gabriel Fedorko","Vieroslav Molnár","Martin Vasiľ","Roland Salai"],"tags":["Engineering","Key (lock)","Software","Mechanical engineering","Hexagonal crystal system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-07","doi":"https://doi.org/10.1016/j.measurement.2021.108978","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W2938856526","name":"Representing adaptation options in experimentable digital twins of production systems","source":"openalex","abstract":"Simulations are powerful tools for decision support during factory adaptation processes. In order to provide the most valuable form of decision support, a tool must take into account the decision problem and relevant decision alternatives. Today’s simulation tools, however, only accept simple notions of variability, like numeric parameter ranges. Thereby they ignore most of the variability of production systems, and do not utilise their full potential to aid decisions. To improve this situation, a new concept on how to systematically model the variability of production systems in Digital Twins of production entities is proposed. It combines Model-Based Systems Engineering and Variability Management to model different variants of production systems, and utilises capabilities of production equipment to make Digital Twins modular and reconfigurable. Each valid combination of variants results in a directly 3D-simulable Digital Twin for the whole production system, allowing automatic validation testing and fast feedback loops during system development. The presented concept is not only a very important basis for managing variants. As the variants model can be used as a search space for optimisation algorithms, the concept is an important stepping stone for a more powerful simulation-based optimisation of production systems.","url":"https://doi.org/10.1080/0951192x.2019.1599433","authors":["Tim Delbrügger","Jürgen Roßmann"],"tags":["Production (economics)","Adaptation (eye)","Factory (object-oriented programming)","Modular design","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-04-09","doi":"https://doi.org/10.1080/0951192x.2019.1599433","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4229023717","name":"Planetary digital twin","source":"openalex","abstract":"Precision agriculture and aquaculture offer a new way of creating a production system that is efficient and eco-friendly with the potential to increase food availability to wider communities across the globe. Digital technologies and applied computing play a crucial role to aid local farmers in better control of production losses. This paper addresses whether it is feasible to deploy a virtual digital replica of aquaculture farms to control essential water quality variables, including temperature, dissolved oxygen (DO), pH, turbidity and ammonia. Traditional IoT systems can offer monitoring capabilities. However, this emerging application requires real-time control-based actuation to intervene in the environment. Often, farmers have limited time to react to any anomalous event. The proposed Planetary Digital Twin employs AI-based control loops to monitor, simulate and optimize aquaculture processes and assets. Preliminary system validation results suggest the approach is feasible in communicating real-time sensor data to a mechanism to detect and control anomalies.","url":"https://doi.org/10.1145/3477314.3508384","authors":["Rafael R. Teixeira","Juliana B. Puccinelli","Bruna de Vargas Guterres","Marcelo Pias","Vinicus Menezes Oliveira","Sílvia Silva da Costa Botelho","Luís Poersch","Nelson Duarte Filho","Ahmed Janati","Maxime Paris"],"tags":["Computer science","Aquaculture","Production (economics)","Control (management)","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-25","doi":"https://doi.org/10.1145/3477314.3508384","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4402881085","name":"Digital Twin Methodology in Food Processing: Basic Concepts and Applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s13668-024-00584-2","authors":["Emmanuel Purlis"],"tags":["Clinical nutrition","Computer science","Biochemical engineering","Biotechnology","Food science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-26","doi":"https://doi.org/10.1007/s13668-024-00584-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4410290414","name":"Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?","source":"openalex","abstract":"Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, many paediatric trials are discontinued early due to challenges in patient enrolment. Hence, most paediatric clinical trials suffer from lack of adequate power. Additionally, trials are expensive and might expose patients to unproven therapies. Alternatives to overcome these issues using virtual patient data-namely, digital twins, synthetic patient data, and in-silico trials-are now possible due to rapid advances in digital health-care tools and interventions. However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data to empower paediatric trials. The use of virtual patient data has the advantages of decreased exposure of children to potentially ineffective or risky interventions, shorter trial durations leading to more rapid ascertainment of safety and effectiveness of interventions, and faster drug approvals. Use of virtual patient data could lead to more personalised treatment options with low costs and could result in faster clinical implementation of interventions in children. However, ethical and regulatory concerns, including replacing humans with digital data, data privacy, and security should be addressed and the safety and sustainability of digital data innovation ensured before virtual patient data are adopted widely.","url":"https://doi.org/10.1016/j.landig.2025.01.007","authors":["Mohan Pammi","Prakesh S. Shah","Yang Liu","Joseph Hagan","Nima Aghaeepour","Josef Neu"],"tags":["Clinical trial","In silico","Medicine","Patient data","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1016/j.landig.2025.01.007","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4383648046","name":"Sustainable product lifecycle management with Digital Twins: A systematic literature review","source":"openalex","abstract":"A Digital Twin (DT) is a virtual replica of a product or product-service system, which can be used to provide transparency of a product's sustainability and to positively influence the ecological impact throughout its lifecycle by means of intelligent data analytics. This paper identifies current sustainability-focused application scenarios of DTs in the manufacturing industry and outlines the results of a systematic literature review (SLR). The identification of the state-of-the-art and the assessment of current DT concepts with regard to the addressed product lifecycle phases, technological maturity and sustainability scope point towards key directions to guide future research.","url":"https://doi.org/10.1016/j.procir.2023.03.124","authors":["Anne Seegrün","Thomas Kruschke","Janine Mügge","Louis Hardinghaus","Tobias Knauf","Theresa Riedelsheimer","Kai Lindow"],"tags":["Product-service system","Product lifecycle","Sustainability","Scope (computer science)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procir.2023.03.124","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4391221432","name":"Improved generalization with deep neural operators for engineering systems: Path towards digital twin","source":"openalex","abstract":"Neural Operator Networks (ONets) represent a novel advancement in machine learning algorithms, offering a robust and generalizable alternative for approximating partial differential equations (PDEs) solutions. Unlike traditional Neural Networks (NN), which directly approximate functions, ONets specialize in approximating mathematical operators, enhancing their efficacy in addressing complex PDEs.In this work, we evaluate the capabilities of Deep Operator Networks (DeepONets), an ONets implementation using a branch–trunk architecture. Three test cases are studied: a system of ODEs, a general diffusion system, and the convection–diffusion Burgers’ equation. It is demonstrated that DeepONets can accurately learn the solution operators, achieving prediction accuracy (R2) scores above 0.96 for the ODE and diffusion problems over the observed domain while achieving zero-shot (without retraining) capability. More importantly, when evaluated on unseen scenarios (zero-shot feature), the trained models exhibit excellent generalization ability. This underscores ONets’ vital niche for surrogate modeling and digital twin development across physical systems. While convection–diffusion poses a greater challenge, the results confirm the promise of ONets and motivate further enhancements to the DeepONet algorithm. This work represents an important step towards unlocking the potential of digital twins through robust and generalizable surrogates.","url":"https://doi.org/10.1016/j.engappai.2024.107844","authors":["Kazuma Kobayashi","James Daniell","Syed Bahauddin Alam"],"tags":["Computer science","Generalization","Path (computing)","Artificial intelligence","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-25","doi":"https://doi.org/10.1016/j.engappai.2024.107844","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3184943734","name":"Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compind.2021.103501","authors":["Chiara Cimino","Gianni Ferretti","Alberto Leva"],"tags":["Computer science","Consistency (knowledge bases)","Relevance (law)","Abstraction","Convergence (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-27","doi":"https://doi.org/10.1016/j.compind.2021.103501","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4382599780","name":"Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation","source":"openalex","abstract":"The rapid development of digital technologies and solutions is disrupting the energy sector. In this regard, digitalization is a facilitator and enabler for integrating renewable energies, management and operation. Among these, advanced monitoring techniques and artificial intelligence may be applied in solar PV plants to improve their operation and efficiency and detect potential malfunctions at an early stage. This paper proposes a Digital Twin DT concept, mainly focused on O&M, to obtain more information about the system by using several artificial intelligence boxes. Furthermore, it includes the development of several machine learning (ML) algorithms capable of reproducing the expected behavior of the solar PV plant and detecting the malfunctioning of different components. In this regard, this allows for reducing downtime and optimizing asset management. In this paper, different ML techniques are used and compared to optimize the selected methods for enhanced response. The paper presents all stages of the developed Digital Twin, including ML model development with an accuracy of 98.3% of the whole DT, and finally, a communication and visualization platform. The different responses and comparisons have been made using a model based on MATLAB/Simulink using different cases and system conditions.","url":"https://doi.org/10.3390/en16135044","authors":["Tolga Yalçin","Pol Paradell","Paschalia Stefanidou-Voziki","José Luís Domínguez‐García","Tuğçe Demirdelen"],"tags":["Computer science","Photovoltaic system","Intellectualization","Visualization","MATLAB"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-29","doi":"https://doi.org/10.3390/en16135044","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4392916642","name":"Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure","source":"openalex","abstract":"In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, system, or process. Although it is relatively new in the agricultural domain, it has gained increasing attention recently. Recent reviews of DTs show that this technology has the potential to revolutionise agriculture management and activities. It can also provide numerous benefits to all agricultural stakeholders, including farmers, agronomists, researchers, and others, in terms of making decisions on various agricultural processes. In smart crop farming, DTs help simulate various farming tasks like irrigation, fertilisation, nutrient management, and pest control, as well as access real-time data and guide farmers through ‘what-if’ scenarios. By utilising the latest technologies, such as cloud–fog–edge computing, multi-agent systems, and the semantic web, farmers can access real-time data and analytics. This enables them to make accurate decisions about optimising their processes and improving efficiency. This paper presents a proposed architectural framework for DTs, exploring various potential application scenarios that integrate this architecture. It also analyses the benefits and challenges of implementing this technology in agricultural environments. Additionally, we investigate how cloud–fog–edge computing contributes to developing decentralised, real-time systems essential for effective management and monitoring in agriculture.","url":"https://doi.org/10.3390/fi16030100","authors":["Yogeswaranathan Kalyani","L. M.D. VORSTER","Rebecca L. Whetton","Rem Collier"],"tags":["Computer science","Cloud computing","Agriculture","Edge computing","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-16","doi":"https://doi.org/10.3390/fi16030100","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4409180109","name":"IIoT-enabled digital twin for legacy and smart factory machines with LLM integration","source":"openalex","abstract":"Recent advancements in Large Language Models (LLMs) have significantly transformed the field of natural data interpretation, translation, and user training. However, a notable gap exists when LLMs are tasked to assist with real-time context-sensitive machine data. The paper presents a multi-agent LLM framework capable of accessing and interpreting real-time and historical data through an Industrial Internet of Things (IIoT) platform for evidence-based inferences. Real-time data is acquired from several legacy machine artifacts (such as seven-segment displays, toggle switches, and knobs), smart machines (such as 3D printers), and building data (such as sound sensors and temperature measurement devices) through MTConnect data streaming protocol. Further, a multi-agent LLM framework that consists of four specialized agents – a supervisor agent, a machine-expertise agent, a data visualization agent, and a fault-diagnostic agent is developed for context-specific manufacturing tasks. This LLM framework is then integrated into a digital twin to visualize the unstructured data in real time. The paper also explores how LLM-based digital twins can serve as real time virtual experts through an avatar, minimizing reliance on traditional manuals or supervisor-based expertise. To demonstrate the functionality and effectiveness of this framework, we present a case study consisting of legacy machine artifacts and modern machines. The results highlight the practical application of LLM to assist and infer real-time machine data in a digital twin environment. Peer-review under responsibility of the scientific committee of the NAMRI/SME. • Legacy and smart machines data integration into a context-aware, high-fidelity digital twin. • Real-time, monitoring and process optimization of environmental and machine IIoT data. • Multi-agent LLM enhances machine control and provides expert-level insights with voice assistance and avatar. • Fault Diagnosis Agent optimizes 3D printing in real time, reducing material waste and improving print quality.","url":"https://doi.org/10.1016/j.jmsy.2025.03.022","authors":["Anuj Gautam","Manish Raj Aryal","Sourabh Deshpande","Shailesh Padalkar","Mikhail Nikolaenko","Ming Tang","Sam Anand"],"tags":["Factory (object-oriented programming)","Computer science","Engineering","Systems engineering","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-05","doi":"https://doi.org/10.1016/j.jmsy.2025.03.022","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4367668083","name":"Digital twin based accuracy compensation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cirp.2023.04.088","authors":["Naruhiro Irino","Akihito Kobayashi","Yuta Shinba","Kengo Kawai","Daniel Spescha","Konrad Wegener"],"tags":["Compensation (psychology)","Machine tool","Machining","Artificial neural network","Displacement (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.cirp.2023.04.088","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4403747953","name":"Digital Twins, Simulation, and the Metaverse","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-69107-2","authors":["Michael Grieves","Edward Y. Hua"],"tags":["Metaverse","Computer science","Human–computer interaction","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-69107-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4380366179","name":"Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture","source":"openalex","abstract":"Abstract In the last years, there has been a growing interest in the emerging concept of digital twins (DTs) among software engineers and researchers. DTs not only represent a promising paradigm to improve product quality and optimize production processes, but they also may help enhance the predictability and resilience of cyber-physical systems operating in critical contexts. In this work, we investigate the adoption of DTs in the railway sector, focusing in particular on the role of artificial intelligence (AI) technologies as key enablers for building added-value services and applications related to smart decision-making. In this paper, in particular, we address predictive maintenance which represents one of the most promising services benefiting from the combination of DT and AI. To cope with the lack of mature DT development methodologies and standardized frameworks, we detail a workflow for DT design and development specifically tailored to a predictive maintenance scenario and propose a high-level architecture for AI-enabled DTs supporting such workflow.","url":"https://doi.org/10.1007/s40860-023-00208-6","authors":["Lorenzo De Donato","Ruth Dirnfeld","Alessandra Somma","Alessandra De Benedictis","Francesco Flammini","Stefano Marrone","Mehdi Saman Azari","Valeria Vittorini"],"tags":["Workflow","Computer science","Resilience (materials science)","Architecture","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-12","doi":"https://doi.org/10.1007/s40860-023-00208-6","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4296969888","name":"Acoustic emission based damage source localization for structural digital twin of wind turbine blades","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2022.112552","authors":["Zhimin Zhao","Nian-Zhong Chen"],"tags":["Turbine blade","Acoustics","Turbine","Acoustic emission","Finite element method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-24","doi":"https://doi.org/10.1016/j.oceaneng.2022.112552","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3192220744","name":"An Integrated Mobile Augmented Reality Digital Twin Monitoring System","source":"openalex","abstract":"The increasing digitalization and advancement in information communication technologies has greatly changed how humans interact with digital information. Nowadays, it is not sufficient to only display relevant data in production activities, as the enormous amount of data generated from smart devices can overwhelm operators without being fully utilized. Operators often require extensive knowledge of the machines in use to make informed decisions during processes such as maintenance and production. To enable novice operators to access such knowledge, it is important to reinvent the way of interacting with digitally enhanced smart devices. In this research, a mobile augmented reality remote monitoring system is proposed to help operators with low knowledge and experience level comprehend digital twin data of a device and interact with the device. It analyses both historic logs as well as real-time data through a cloud server and enriches 2D data with 3D models and animations in the 3D physical space. A cloud-based machine learning algorithm is applied to transform learned knowledge into live presentations on a mobile device for users to interact with. A scaled-down case study is conducted using a tower crane model to demonstrate the potential benefits as well as implications when the system is deployed in industrial environments. This user study verifies that the proposed solution yields consistent measurable improvements for novice users in human-device interaction that is statistically significant.","url":"https://doi.org/10.3390/computers10080099","authors":["Fan He","S. K. Ong","A.Y.C. Nee"],"tags":["Augmented reality","Computer science","Mobile device","Human–computer interaction","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-12","doi":"https://doi.org/10.3390/computers10080099","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4383648124","name":"Integration of Industry 5.0 requirements in digital twin-supported manufacturing process selection: a framework","source":"openalex","abstract":"Process selection has been an integral part of manufacturing design and operation, with a close link to manufacturing process modeling. Throughout the years, it has been enriched with many criteria, such as energy efficiency, emissions, resources, and sustainability in general, increasing its complexity in terms of modeling and optimization. Herein, process selection is coupled with (a) the capabilities of the digital twins, (b) the criteria introduced by Industry 5.0 (I5.0) in terms of sustainability and human inclusion, and (c) the opportunities offered by key enabling technologies. A framework is presented capable to implement automated process selection and potentially scheduling through a specific set of integrated technologies, utilizing the concept of the microfactory as a basis in terms of implementation. A case study for the evaluation of two parts, using Additive Manufacturing and laser welding, in different scenarios is presented. It was concluded that the inclusion of the I5.0 criteria not only increases the well-being of the workers but also the energy and time efficiency of the production line, increasing the profit margin.","url":"https://doi.org/10.1016/j.procir.2023.06.197","authors":["Alexios Papacharalampopoulos","Panagis Foteinopoulos","Panagiotis Stavropoulos"],"tags":["Sustainability","Manufacturing engineering","Process (computing)","Scheduling (production processes)","Profit margin"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procir.2023.06.197","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4205771194","name":"Digital twin modelling for optimizing the material consumption: A case study on sustainability improvement of thermoforming process","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.suscom.2022.100655","authors":["Erhan Turan","Yiğit Konuşkan","Nihan Yıldırım","Deniz Tunçalp","Mehmet İnan","Oğuz Yasin","Büryan Apaçoğlu-Turan","Vügar Kerimoğlu"],"tags":["Material efficiency","Process (computing)","Thermoforming","Manufacturing engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-06","doi":"https://doi.org/10.1016/j.suscom.2022.100655","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3164906865","name":"Development of Digital Twin for Robotic Arm","source":"openalex","abstract":"Nowadays digital twin technology is a powerful tool for describing, controlling, and displaying the behavior of a real object of robotic systems. This technology is currently planned for widespread application in the Industry 4.0. And one of the important tasks in this area is the creation of a dynamic model of the object in the simulation program. The article describes the basic principles of digital twins' design of the manipulator, taking into account its dynamic and mass-dimensional characteristics. It was shown that the use of polynomial algorithms in the control system provides the best solution for the quality of technological operations and provides standard tolerance grades and limit deviations within IT7.","url":"https://doi.org/10.1109/pemc48073.2021.9432535","authors":["Stepan Bratchikov","Artur Abdullin","Galina Demidova","Dmitry V. Lukichev"],"tags":["Computer science","Object (grammar)","Limit (mathematics)","Robotic arm","Digital control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-25","doi":"https://doi.org/10.1109/pemc48073.2021.9432535","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3186340450","name":"Drone-Based AI and 3D Reconstruction for Digital Twin Augmentation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-77626-8_35","authors":["Alex To","Maican Liu","Muhammad Hazeeq Bin Muhammad Hairul","Joseph G. Davis","Jeannie S.A. Lee","Henrik Hesse","Hoang D. Nguyen"],"tags":["Computer science","Drone","Nexus (standard)","Automation","Variety (cybernetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-3-030-77626-8_35","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4360979157","name":"When the digital twin meets the preventive conservation of movable wooden artifacts","source":"openalex","abstract":"Abstract To achieve sustainable heritage conservation, preventive conservation has gradually taken precedence over curative conservation, because it can inhibit the damage caused by various environmental factors and maximizes the preservation life of the artifacts. Due to susceptibility to environmental factors, preventive conservation has been used in the conservation of movable wooden artifacts to further protect them. Recently, digital twin technology, as a concept that transcends reality, can be mapped in virtual space to reflect the full lifecycle process of the corresponding entity, which is a superior characteristic that makes it valued and researched for health monitoring and health management of heritages. This paper proposes a health management method mainly for preventive conservation of movable wooden artifacts, integrating digital twin technology into the health management process. Using the Quanzhou Ship as a typical representative, several important components of health management are specifically analyzed, such as the five-dimensional model of the digital twin, the data interaction process of the digital twin, and the identification and assessment of risks. In particular, the process of preventive conservation of the stern based on the digital twin is presented in detail. This method provides a basis for future preventive conservation of movable wooden artifacts and has implications for the use of digital twin technology in the field of heritage conservation, especially for movable wooden artifacts.","url":"https://doi.org/10.1186/s40494-023-00894-8","authors":["Puxiang Wang","Xueyi Ma","Lihua Fei","Hongye Zhang","Dong Zhao","Jian Zhao"],"tags":["Process (computing)","Risk analysis (engineering)","Cultural heritage","Stern","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-16","doi":"https://doi.org/10.1186/s40494-023-00894-8","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4297808560","name":"A Digital Twin for Grassland Management","source":"openalex","abstract":"Informed grassland management is essential for cost effective pasture based livestock farming, environmental sustainability and land use efficiency. To support these goals, this paper investigates the feasibility of a Digital Twin for grassland management, with the goal of providing improved decision-support through simulation based estimation and data availability. The Digital Twin provides a novel means to achieve digitization, with several examples found across a diverse range of agricultural enterprises. However, current examples of the Digital Twin have failed to outline a clear and coherent blueprint to aid the general development of the Digital Twin in agricultural applications. Therefore, this paper explores and presents a proof-of-concept modular service based architecture, utilizing a pre-existing technology stack and a reusable modular design to develop a Digital Twin for grassland, something which has been overlooked in state-of-the-art examples. Compared to existing Digital Twins in agriculture, this solution provides a simplistic approach to developing minimum-viable Digital Twins, supporting future applications of the concepts in the area of agriculture, while demonstrating a novel application in grassland.","url":"https://doi.org/10.1109/icecet55527.2022.9873446","authors":["Warren Purcell","Anja Klipic","Thomas Neubauer"],"tags":["Digitization","Computer science","Blueprint","Modular design","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-20","doi":"https://doi.org/10.1109/icecet55527.2022.9873446","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4310128803","name":"VTOL UAV digital twin for take-off, hovering and landing in different wind conditions","source":"openalex","abstract":"With UAVs becoming increasingly popular in the industry, vertical take-off and landing (VTOL) convertiplanes are emerging as a compromise between the advantages of planes and multicopters. Due to their large wing surface area, VTOL convertiplanes are subject to a strong wind dependence on critical phases such as take-off, landing, and hovering. Developing a new and improved unmanned aerial vehicle (UAV) is often expensive and associated with failures and accidents. This paper proposes the dynamic characterization of a commercial VTOL convertiplane UAV in copter mode and provides a novel method to estimate the aerodynamic forces and moments for any possible wind speed and direction. Starting from Euler’s equations of rigid body dynamics, we have derived the mathematical formulation to precisely consider aerodynamic forces and moments caused by any wind speed and direction. This unique approach will allow for VTOL convertiplane UAVs to be trained and tested digitally in take-off, hovering, and landing maneuvers without the cost and hassle of physical testing, and the dependence on existing wind conditions. A digital twin of a VTOL convertiplane UAV in copter mode has been modeled and tested in the Gazebo robotics simulator. Take-off, hovering and landing maneuvers have been compared with and without the wind physics model. Finally, the simulator has been tested against real flight conditions (reproducing the mean wind speed and direction only), showing a natural and realistic behavior.","url":"https://doi.org/10.1016/j.simpat.2022.102703","authors":["Daniel Aláez","Xabier Olaz","Manuel Prieto","Jesús Villadangos","José Javier Astráin"],"tags":["Aeronautics","Environmental science","Aerospace engineering","Marine engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-28","doi":"https://doi.org/10.1016/j.simpat.2022.102703","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3104513561","name":"A case-study in the introduction of a digital twin in a large-scale smart manufacturing facility","source":"openalex","abstract":"In the field of industrial engineering the knowledge produced by newly obtained data is driving business forward. Automating the process of capturing data from industrial machines, analyzing it and using the knowledge gained to make better decisions for the machines is the crux of the digital twin. Sensor technology, Internet of Things platforms, information and communication technology and smart analytics allow the digital twin to transform a physical asset into a connected smart item that is now part of a cyber physical system and that is far more valuable than when it existed in isolation. The digital twin can be adopted by the maintenance engineering industry to aid in the prediction of issues before they occur thus creating value for the business. In this paper the authors look to introduce a maintenance digital twin to a large-scale manufacturing facility. Issues that hamper such work are discovered and categorized to highlight the difficulty of the practical installation of this concept. To aid in the installation process a digital twin framework is presented that simplifies the digital twin development process into steps that can be completed independently. With the framework in place the authors commence the task of completing these steps.","url":"https://doi.org/10.1016/j.promfg.2020.10.212","authors":["Jamie M. O’Sullivan","Dominic O’Sullivan","Ken Bruton"],"tags":["Process (computing)","Asset (computer security)","Scale (ratio)","Field (mathematics)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.promfg.2020.10.212","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4393343740","name":"Digital twins for smart building at the facility management stage: a systematic review of enablers, applications and challenges","source":"openalex","abstract":"Purpose Despite the opportunities of digital twins (DTs) for smart buildings, limited research has been conducted regarding the facility management stage, and this is explained by the high complexity of accurately representing and modelling the physics behind the DTs process. This study thus organises and consolidates the fragmented literature on DTs implementation for smart buildings at the facility management stage by exploring the enablers, applications and challenges and examining the interrelationships amongst them. Design/methodology/approach A systematic literature review approach is adopted to analyse and synthesise the existing literature relating to the subject topic. Findings The study revealed six main categories of enablers of DTs for smart building at the facility management stage, namely perception technologies, network technologies, storage technologies, application technologies, knowledge-building and design processes. Three substantial categories of DTs application for smart buildings were revealed at the facility management stage: efficient operation and service monitoring, efficient building energy management and effective smart building maintenance. Subsequently, the top four major challenges were identified as being “lack of a systematic and comprehensive reference model”, “real-time data integration”, “the complexity and uncertainty nature of real-time data” and “real-time data visualisation”. An integrative framework is finally proposed by examining the interactive relationship amongst the enablers, the applications and the challenges. Practical implications The findings could guide facility managers/engineers to fairly understand the enablers, applications and challenges when DTs are being implemented to improve smart building performance and achieve user satisfaction at the facility management stage. Originality/value This study contributes to the knowledge body on DTs by extending the scope of the existing studies to identify the enablers and applications of DTs for smart buildings at the facility management stage and the specific challenges.","url":"https://doi.org/10.1108/sasbe-10-2023-0298","authors":["Frank Ato Ghansah"],"tags":["Facility management","Process management","Systems engineering","Architectural engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-30","doi":"https://doi.org/10.1108/sasbe-10-2023-0298","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4310534109","name":"Digital Twin-Based Analysis and Optimization for Design and Planning of Production Lines","source":"openalex","abstract":"With the increasing dynamic nature of customer demand, production, product, and manufacturing design changes have become more frequent. Moreover, inadequate validation during the manufacturing design phase may result in additional issues, such as process redesign and layout reallocation, during the operation phase. Therefore, systems that can pre-validate and allow accurate and reliable analysis in the manufacturing design phase, as well as apply and optimize variations in production lines in real time, are required. Previously, digital twin (DT) has been studied a lot in product design and facility prognostics and management fields. Research on the system framework leading to DT utilization and optimization and analysis through DT in complex manufacturing systems with continuous processes such as production lines is insufficient. In this study, a system based on a DT and simulation results is developed; this system can reflect, analyze, and optimize dynamic changes in the design of processes and production lines in real time. First, the framework and application of the proposed system are designed. Subsequently, optimization methodologies based on heuristics and reinforcement learning (RL) are developed. Finally, the effectiveness and applicability of the proposed system are verified by implementing an actual DT application at a real manufacturing site.","url":"https://doi.org/10.3390/machines10121147","authors":["Donggun Lee","Chong-Keun Kim","Jinho Yang","Kang-Yeon Cho","Jong-Hwan Choi","Sang Do Noh","Seunghoon Nam"],"tags":["Production line","Heuristics","Computer science","Production (economics)","Production planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.3390/machines10121147","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4392671432","name":"Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102746","authors":["Hoonmin Park","Minchul Shin","Gyubok Choi","Yuseop Sim","Jiho Lee","Huitaek Yun","Martin Byung‐Guk Jun","Gyu Man Kim","Younghun Jeong","Hak Yi","Martin Byung-Guk Jun","Gyuman Kim"],"tags":["Exoskeleton","Computer science","Manufacturing engineering","Engineering","Simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-11","doi":"https://doi.org/10.1016/j.rcim.2024.102746","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W3025694264","name":"VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-020-01586-x","authors":["Kyu Tae Park","Jinho Yang","Sang Do Noh"],"tags":["Center (category theory)","Asset (computer security)","Representation (politics)","Shell (structure)","Administration (probate law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-17","doi":"https://doi.org/10.1007/s10845-020-01586-x","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3154355710","name":"Exploring critical success factors influencing adoption of digital twin and physical internet in electronics industry using grey-DEMATEL approach","source":"openalex","abstract":"Digital twin and physical internet adoption based on advanced digital technologies is gaining significance in the recent times. Digital twin is one of the enabling technologies that link actual physical system with its virtual depiction using advanced digital technologies. In order to leverage its potential, firms have instigated to adopt digital twin and physical internet for real-world applications. Although researches on impact of information technology in supply chains exists, a study on the modelling aspects by analysing critical success factors for adoption of digital twin and physical internet is limited. We have addressed this gap by developing a structural model for identifying the inter-relationships and cause effect parameters of critical success factors for adoption of digital twin and physical internet. Thirteen critical success factors were shortlisted based on literature review and in consultation with experts. An integrated Grey- based, decision making trial and evaluation laboratory (DEMATEL)is used to visualize the causal relationships among critical success factors and verified by applying the proposed model in an electronics manufacturing firm. Sensitivity analysis has been done to check accuracy of results and robustness of the study. The results reveal that top management commitment and support and long, medium and short term planning are the most influential factors impacting the adoption of digital twin and physical internet in electronics industry. Findings of this research provide insights for supply chain managers and academicians by identifying the cause and effect group critical success factors for effective adoption of digital twin and physical internet.","url":"https://doi.org/10.1016/j.digbus.2021.100009","authors":["T.S. Deepu","V. Ravi"],"tags":["The Internet","Leverage (statistics)","Robustness (evolution)","Supply chain","Critical success factor"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-16","doi":"https://doi.org/10.1016/j.digbus.2021.100009","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4281782120","name":"Digital twins for design in the presence of uncertainties","source":"openalex","abstract":"Successful application of digital twins in the design process requires a tailored approach to identify high value information from the uncertain data. We propose a non-intrusive sensitivity metric toolbox that integrates black-box digital twins in the design and decision process under uncertainties. The toolbox captures the evolving nature of the key design performance indicators (KPI) and provide both KPI-free and KPI-based metrics. The KPI-free metrics, which are based on entropy and Fisher information but independent of design KPIs, is shown to give good indication of the most influential data for KPI-based metrics. This suggests a consistent identification of high value data throughout the design process.","url":"https://doi.org/10.1016/j.ymssp.2022.109338","authors":["Jiannan Yang","R.S. Langley","Luís Andrade"],"tags":["Performance indicator","Toolbox","Metric (unit)","Performance metric","Entropy (arrow of time)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-28","doi":"https://doi.org/10.1016/j.ymssp.2022.109338","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3216011734","name":"A Data-driven Digital Twin of CNC Machining Processes for Predicting Surface Roughness","source":"openalex","abstract":"Digital Twin of a CNC machining process can enhance process optimisation at process planning stage and machining stage. Quality of a machined product depends upon machining accuracy and surface at the end of the machining stage. In this paper, a Digital Twin framework for CNC machining processes is proposed that allows simulation, prediction, and optimisation of key performance indicators (surface finish in this instance) during process planning stage and machining stage with historical and real-time machining data, respectively. This paper describes the development of data-driven models for surface roughness prediction at process planning stage and machining stage of a milling process. These models constitute the digital twin. Three different data driven models are evaluated for building the surface roughness prediction models.","url":"https://doi.org/10.1016/j.procir.2021.11.179","authors":["V.S. Vishnu","Kiran George Varghese","B. Gurumoorthy"],"tags":["Machining","Surface roughness","Process (computing)","Numerical control","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.179","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4401068470","name":"Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices","source":"openalex","abstract":"Digital Twins (DT) encompass virtual models interconnected with a physical system through data links. Although DTs hold significant potential for positive organisational impact, their successful adoption in industrial practice remains limited. Whereas existing research predominantly focuses on technical challenges, more recent studies underscore the importance of addressing organisational and human factors to overcome implementation barriers. One central aspect in this context is stakeholder communication, especially given the ambiguous nature of the term DT in academic and industrial discussions. To expand the limited understanding of the factors causing challenging DT stakeholder communications, this article presents findings from an extensive exploratory study. It involves 27 in-depth interviews and two focus groups with highly experienced DT professionals. By employing grounded theory and the Gioia methodology, a grounded model for DT stakeholder communication challenges is derived. This model reveals the complex communication dynamics within DT projects, emphasising the emergence of novel stakeholder communication patterns that heavily rely on multidisciplinary collaboration. In total, 28 communication challenges were identified, grouped into eight theoretical themes and categorised into two aggregate dimensions: human- and organisation-centric challenges. Additionally, the study identified 15 practices, e.g., defining clear objectives, and starting small and building gradually, that organisations are following to mitigate these challenges. As a result, this article provides the theoretical groundwork for a comprehensive understanding of DT stakeholder communication and its associated challenges by revealing distinctive features and offering practical guidance to overcome critical challenges in DT projects.","url":"https://doi.org/10.1016/j.compind.2024.104135","authors":["Christian Kober","Francisco Gomez Medina","Martin Benfer","Jens P. Wulfsberg","Verónica García Martínez","Gisela Lanza"],"tags":["Stakeholder","Multidisciplinary approach","Knowledge management","Context (archaeology)","Stakeholder analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-29","doi":"https://doi.org/10.1016/j.compind.2024.104135","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4306403311","name":"Dynamic Scheduling Optimization of Production Workshops Based on Digital Twin","source":"openalex","abstract":"Production scheduling is the key to manufacturing process decision support, which directly affects the efficiency and competitiveness of enterprises. The production process of discrete workshops is complex and changeable, and it is usually difficult to make adjustments quickly and accurately in response to disturbance events. In this paper, a workshop production scheduling method based on digital twin is proposed and applied to the manufacturing workshop of an aerospace factory. Combined with the advantages of real-time virtual real interaction fusion of digital twin technology, the dynamic scheduling problem under fault disturbance factors is studied. A high-fidelity digital twin workshop is established to realize the mapping and interaction between the real production and the virtual factory. Based on the vibration data of machine tool spindle, a fault prediction method of learning vector quantization neural network is proposed. The dynamic scheduling strategy of workshop production based on digital twin is constructed and compared with the scheduling results without digital twin under fault disturbance. The results show that the scheduling method based on digital twin can effectively deal with disturbances and improve workshop productivity. This study can be used for the application of digital twin and production scheduling in practical factories.","url":"https://doi.org/10.3390/app122010451","authors":["Guozhi Ding","Shiyao Guo","Xiaohui Wu"],"tags":["Scheduling (production processes)","Dynamic priority scheduling","Computer science","Two-level scheduling","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-17","doi":"https://doi.org/10.3390/app122010451","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4386098643","name":"The Concept of Creating Digital Twins of Bridges Using Load Tests","source":"openalex","abstract":"The paper sheds light on the process of creating and validating the digital twin of bridges, emphasizing the crucial role of load testing, BIM models, and FEM models. At first, the paper presents a comprehensive definition of the digital twin concept, outlining its core principles and features. Then, the framework for implementing the digital twin concept in bridge facilities is discussed, highlighting its potential applications and benefits. One of the crucial components highlighted is the role of load testing in the validation and updating of the FEM model for further use in the digital twin framework. Load testing is emphasized as a key step in ensuring the accuracy and reliability of the digital twin, as it allows the validation and refinement of its models. To illustrate the practical application and issues during tuning and validating the FEM model, the paper provides an example of a real bridge. It shows how a BIM model is utilized to generate a computational FEM model. The results of the load tests carried out on the bridge are discussed, demonstrating the importance of the data obtained from these tests in calibrating the FEM model, which forms a critical part of the digital twin framework.","url":"https://doi.org/10.3390/s23177349","authors":["Marcin Jasiński","Piotr Łaziński","Dawid Piotrowski"],"tags":["Bridge (graph theory)","Finite element method","Process (computing)","Computer science","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-23","doi":"https://doi.org/10.3390/s23177349","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4293660849","name":"UAV and IoT-Based Systems for the Monitoring of Industrial Facilities Using Digital Twins: Methodology, Reliability Models, and Application","source":"openalex","abstract":"This paper suggests a methodology (conception and principles) for building two-mode monitoring systems (SMs) for industrial facilities and their adjacent territories based on the application of unmanned aerial vehicle (UAV), Internet of Things (IoT), and digital twin (DT) technologies, and a set of SM reliability models considering the parameters of the channels and components. The concept of building a reliable and resilient SM is proposed. For this purpose, the von Neumann paradigm for the synthesis of reliable systems from unreliable components is developed. For complex SMs of industrial facilities, the concept covers the application of various types of redundancy (structural, version, time, and space) for basic components-sensors, means of communication, processing, and presentation-in the form of DTs for decision support systems. The research results include: the methodology for the building and general structures of UAV-, IoT-, and DT-based SMs in industrial facilities as multi-level systems; reliability models for SMs considering the applied technologies and operation modes (normal and emergency); and industrial cases of SMs for manufacture and nuclear power plants. The results obtained are the basis for further development of the theory and for practical applications of SMs in industrial facilities within the framework of the implementation and improvement of Industry 4.0 principles.","url":"https://doi.org/10.3390/s22176444","authors":["Yun Sun","Herman Fesenko","Vyacheslav Kharchenko","Luo Zhong","Ihor Kliushnikov","Oleg Illiashenko","Olga Morozova","Anatoliy Sachenko"],"tags":["Reliability (semiconductor)","Internet of Things","Computer science","Reliability engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-26","doi":"https://doi.org/10.3390/s22176444","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3094378731","name":"Digital Twin for Lyophilization by Process Modeling in Manufacturing of Biologics","source":"openalex","abstract":"Lyophilization stabilizes formulated biologics for storage, transport and application to patients. In process design and operation it is the link between downstream processing and with final formulation to fill and finish. Recent activities in Quality by Design (QbD) have resulted in approaches by regulatory authorities and the need to include Process Analytical Technology (PAT) tools. An approach is outlined to validate a predictive physical-chemical (rigorous) lyophilization process model to act quantitatively as a digital twin in order to allow accelerated process design by modeling and to further-on develop autonomous process optimization and control towards real time release testing. Antibody manufacturing is chosen as a typical example for actual biologics needs. Literature is reviewed and the presented procedure is exemplified to quantitatively and consistently validate the physical-chemical process model with aid of an experimental statistical DOE (design of experiments) in pilot scale.","url":"https://doi.org/10.3390/pr8101325","authors":["L. Klepzig","Alex Juckers","Petra Knerr","Frank Harms","Jochen Strube","Leon S. Klepzig"],"tags":["Process (computing)","Critical quality attributes","Process engineering","Quality by Design","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-21","doi":"https://doi.org/10.3390/pr8101325","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W3196488274","name":"On generative models as the basis for digital twins","source":"openalex","abstract":"Abstract A framework is proposed for generative models as a basis fordigital twinsormirrorsof structures. The proposal is based on the premise that deterministic models cannot account for the uncertainty present in most structural modeling applications. Two different types of generative models are considered here. The first is a physics-based model based on the stochastic finite element (SFE) method, which is widely used when modeling structures that have material and loading uncertainties imposed. Such models can be calibrated according to data from the structure and would be expected to outperform any other model if the modeling accurately captures the true underlying physics of the structure. The potential use of SFE models as digital mirrors is illustrated via application to a linear structure with stochastic material properties. For situations where the physical formulation of such models does not suffice, a data-driven framework is proposed, using machine learning and conditional generative adversarial networks (cGANs). The latter algorithm is used to learn the distribution of the quantity of interest in a structure with material nonlinearities and uncertainties. For the examples considered in this work, the data-driven cGANs model outperforms the physics-based approach. Finally, an example is shown where the two methods are coupled such that a hybrid model approach is demonstrated.","url":"https://doi.org/10.1017/dce.2021.13","authors":["George Tsialiamanis","David Wagg","Nikolaos Dervilis","Keith Worden"],"tags":["Generative grammar","Basis (linear algebra)","Computer science","Generative model","Premise"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1017/dce.2021.13","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4200165754","name":"Digital Twins of Urban Air Quality: Opportunities and Challenges","source":"openalex","abstract":"The increasing amount of data collected about the environment brings tremendous potential to create digital systems that can predict the impact of intended and unintended changes. With growing interest in the construction of Digital Twins across multiple sectors, combined with rapid changes to where we spend our time and the nature of pollutants we are exposed to, we find ourselves at a crossroads of opportunity with regards to air quality mitigation in cities. With this in mind, we briefly discuss the interplay between available data and state of the science on air quality, infrastructure needs and areas of opportunities that should drive subsequent planning of the digital twin ecosystem and associated components. Data driven modeling and digital twins are promoted as the most efficient route to decision making in an evolving atmosphere. However, following the diverse data streams on which these frameworks are built, they must be supported by a diverse community. This is an opportunity to build a collaborative space to facilitate closer working between instrument manufacturers, data scientists, atmospheric scientists, and user groups including but not limited to regional and national policy makers.","url":"https://doi.org/10.3389/frsc.2021.786563","authors":["David Topping","Thomas J. Bannan","Hugh Coe","James Evans","Caroline Jay","Ettore Murabito","N. Robinson"],"tags":["Unintended consequences","Air quality index","Quality (philosophy)","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-15","doi":"https://doi.org/10.3389/frsc.2021.786563","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4307957513","name":"Combined digital twin and hierarchical deep learning approach for intelligent damage identification in cable dome structure","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engstruct.2022.115172","authors":["Longxuan Wang","Hongbo Liu","Zhihua Chen","Fan Zhang","Liulu Guo"],"tags":["Robustness (evolution)","Identification (biology)","Dome (geology)","Finite element method","Structural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-26","doi":"https://doi.org/10.1016/j.engstruct.2022.115172","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4226361761","name":"Maintenance Digital Twin using vibration data","source":"openalex","abstract":"Maintenance represents a critical aspect of manufacturing systems. Its optimization may lead companies to save costs related to production losses and can extend the whole lifecycle of assets or components. This paper aims at proposing a methodology for evaluating the behavior of systems for maintenance purpose by means of analysis carried out on real vibration data collected in the work environment. To this purpose, a digital twin approach has been developed and the statistical method of the control charts has been integrated to conduct the analysis about the vibration data. The methodology has been applied to a real case study in order to analyze the behavior of an electric motor used in the industrial sector and the results show that the method is effective in predicting possible failures that can lead to apply preventive maintenance actions.","url":"https://doi.org/10.1016/j.procs.2022.01.252","authors":["Raffaele Abbate","Mario Caterino","Marcello Fera","Francesco Caputo"],"tags":["Computer science","Preventive maintenance","Production (economics)","Vibration","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procs.2022.01.252","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4224229608","name":"Digital twin‐based structure health hybrid monitoring and fatigue evaluation of orthotropic steel deck in cable‐stayed bridge","source":"openalex","abstract":"Digital twin bridges are virtual replicas of real physical entity bridges in computers. A digital twin bridge in the form of a finite element model can help in making sense of the structural responses monitored by the structure health monitoring system. This study proposes the structure health hybrid monitoring method, which provides a mean for synthesizing monitoring data and finite element model to reconstruct the un-monitoring structure responses, in developing a digital twin of a cable-stayed bridge. The considered structure is the orthotropic steel deck, in which the welding residual stress is an important cause of fatigue cracking. The submodel technology is employed to study the distribution characteristics of welding residual stress and the coupling effect with vehicle-induced stress and temperature-induced stress near the weld in the U-ribs to top deck joint in orthotropic steel deck. Aiming at the defect that cannot consider welding residual stress for the S-N curves based on fatigue evaluation and life prediction method, a nonlinear fatigue damage model based on the continuum damage mechanics, which has been verified by orthotropic steel deck fatigue test, is employed to evaluate the fatigue performance of U-ribs to top deck joint in orthotropic steel deck for an in-service cable-stayed bridge.","url":"https://doi.org/10.1002/stc.2976","authors":["Sheng Yu","Dongsheng Li","Jinping Ou"],"tags":["Orthotropic material","Structural engineering","Deck","Welding","Structural health monitoring"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-19","doi":"https://doi.org/10.1002/stc.2976","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3042327656","name":"Digital Twin for Extraction Process Design and Operation","source":"openalex","abstract":"Traditional extraction processes of natural product are widespread, especially in regulated industries. Possibilities of extraction development and manufacturing optimization in regulated industries is limited. Regulatory approvals are often based on traditional preparations of phyto-pharmaceuticals. The dependence on traditional processes can result in sub-optimal extraction parameters causing unnecessary costs and product variability. Innovative methods like Quality-by-Design (QbD), including process analytical technology (PAT), open opportunities for manufacturers to cope with regulatory demanded, narrow batch-to-batch variability. In addition, such validated process models represent perfect digital twins which could be utilized for advanced process control and life cycle analysis.","url":"https://doi.org/10.3390/pr8070866","authors":["Lukas Uhlenbrock","Christoph Jensch","M. Tegtmeier","Jochen Strube"],"tags":["Process (computing)","Process engineering","Computer science","Extraction (chemistry)","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-17","doi":"https://doi.org/10.3390/pr8070866","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3135058171","name":"A CFD Digital Twin to Understand Miscible Fluid Blending","source":"openalex","abstract":"","url":"https://doi.org/10.1208/s12249-021-01972-5","authors":["John A. Thomas","Kushal Sinha","Gayathri Shivkumar","Lei Cao","M. Funck","Sherwin Shang","Nandkishor K. Nere"],"tags":["Mixing (physics)","Buoyancy","Computational fluid dynamics","Fluid dynamics","Lattice Boltzmann methods"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-07","doi":"https://doi.org/10.1208/s12249-021-01972-5","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4367313139","name":"The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research","source":"openalex","abstract":"The paper concerns the definition of a novel ontology for cultural heritage based on the concept of digital twin. The ontology, called Heritage Digital Twin ontology, is a compatible extension of the well-known CIDOC CRM ISO standard for cultural heritage documentation and incorporates all the different documentation systems presently in use for cultural heritage documentation. In the authors’ view, it supports documentation interoperability at a higher level than the ones currently in use and enables effective cooperation among different users.","url":"https://doi.org/10.12688/openreseurope.15496.1","authors":["Franco Niccolucci","Béatrice Markhoff","Μαρία Θεοδωρίδου","Achille Felicetti","Sorin Hermon"],"tags":["Documentation","Cultural heritage","Interoperability","Ontology","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-28","doi":"https://doi.org/10.12688/openreseurope.15496.1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4386078225","name":"A Digital-Twin-Based Health Status Monitoring Method for Single-Phase PWM Rectifiers","source":"openalex","abstract":"A digital simulation and health monitoring method for single-phase two-level pulsewidth modulation (PWM) rectifiers based on digital twin technology is proposed in this article. First, the closed-loop control and the main circuit are discretized to develop the digital model of the PWM rectifier. Then, the external characteristics of the digital model are compared with the data sampled from the actual physical circuit, and the particle swarm optimization algorithm is used to iteratively optimize the key parameters. Ultimately, the offline digital twin model is developed, which can realize the health status monitoring of insulated-gate-bipolar-transistor power devices, the ac-side inductor, and the dc-link capacitor in the rectifier. Finally, an experimental prototype is built to test the proposed digital twin model and health monitoring method under different load conditions. A comprehensive statistical comparison of the digital twin model and experiment results has verified that the proposed method can achieve health monitoring within the acceptable range, even if under different initial values of parameters. Thus, this article provides a feasible and noninvasive solution for the digital simulation modeling and health monitoring of single-phase PWM rectifiers, without additional sensors and hardware circuits.","url":"https://doi.org/10.1109/tpel.2023.3307415","authors":["Sihui Zhang","Wensheng Song","Hu Cao","Tao Tang","Yuchao Zou"],"tags":["Pulse-width modulation","Electronic engineering","Computer science","Digital control","Particle swarm optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-22","doi":"https://doi.org/10.1109/tpel.2023.3307415","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4399498553","name":"A Digital Twin use cases classification and definition framework based on Industrial feedback","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compind.2024.104113","authors":["Emmanuelle Abisset‐Chavanne","Thierry Coupaye","Fahad R. Golra","Damien Lamy","Ariane Piel","Olivier Scart","Pascale Vicat‐Blanc"],"tags":["Computer science","Engineering","Engineering drawing","Systems engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-10","doi":"https://doi.org/10.1016/j.compind.2024.104113","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3158940634","name":"Near-term ethical challenges of digital twins","source":"openalex","abstract":"The near-term ethical challenges of digital twinsIn 'Represent me: please!Towards an ethics of digital twins in medicine' 1 , Mattias Braun analyses the potential for simulations of human organs and bodies, or \"digital twins,\" to faithfully a person.Drawing from several French philosophers, he introduces \"first conditions for digital twins to take on an ethically justifiable form of representation\". 1","url":"https://doi.org/10.1136/medethics-2021-107449","authors":["Brent Mittelstadt"],"tags":["Skepticism","Agency (philosophy)","Representation (politics)","Term (time)","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-07","doi":"https://doi.org/10.1136/medethics-2021-107449","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3012391507","name":"Towards Marine Dual Fuel Engines Digital Twins—Integrated Modelling of Thermodynamic Processes and Control System Functions","source":"openalex","abstract":"This study aims at developing an integrated model that combines detailed engine thermodynamic modelling and the control system functional modelling paving the way towards the development of high-fidelity digital twins. To sufficiently represent the combustion process, a multi-Wiebe function approach was employed, whereas a database for storing the combustion model parameters was developed. The developed model was employed for the systematic investigation of a marine four-stroke dual fuel engine response during demanding transient operation with mode switching and load changes. The derived results were analysed to identify the critical engine components and their effect on the engine operational limitations. The results demonstrate that the developed model can sufficiently represent the engine and its subsystems/components behaviour and effectively capture the engine control system’s functionality. The appropriate turbocharger matching along with the sufficient design of the exhaust gas waste gate valve and fuel control systems are crucial for ensuring the smooth engine operation of dual fuel engines.","url":"https://doi.org/10.3390/jmse8030200","authors":["Sokratis Stoumpos","Γεράσιμος Θεοτοκάτος","Christoforos Mavrelos","Evangelos Boulougouris"],"tags":["Turbocharger","Automotive engineering","Internal combustion engine","Combustion","Exhaust gas recirculation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-14","doi":"https://doi.org/10.3390/jmse8030200","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4388968490","name":"A digital twin-driven cutting force adaptive control approach for milling process","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-023-02193-2","authors":["Xin Tong","Qiang Liu","Yinuo Zhou","Pengpeng Sun"],"tags":["Machining","Adaptive control","Engineering","Kalman filter","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-24","doi":"https://doi.org/10.1007/s10845-023-02193-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4393181058","name":"Digital twin-assisted intelligent anomaly detection system for Internet of Things","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.adhoc.2024.103484","authors":["Burcu Bolat-Akça","Elif Bozkaya"],"tags":["Anomaly detection","Internet of Things","Anomaly (physics)","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-26","doi":"https://doi.org/10.1016/j.adhoc.2024.103484","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4362725525","name":"Sustainable Digital Twin Engineering for the Internet of Production","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_4","authors":["Shan Fur","Malte Heithoff","Judith Michael","Lukas Netz","Jérôme Pfeiffer","Bernhard Rumpe⋆","Andreas Wortmann"],"tags":["Production (economics)","The Internet","Sustainable production","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-981-99-0252-1_4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3111058122","name":"Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence","source":"openalex","abstract":"In this study, to address the problems of multiple dimensions, large scales, complex tension resource scheduling, and strict quality control requirements in the tensioning process of cables in prestressed steel structures, the technical characteristics of digital twins (DTs) and artificial intelligence (AI) are analyzed. An intelligent tensioning of prestressed cables method driven by the integration of DTs and AI is proposed. Based on the current research status of cable tensioning and DTs, combined with the goal of intelligent tensioning, a fusion mechanism for DTs and AI is established and their integration to drive intelligent tensioning of prestressed cables technology is analyzed. In addition, the key issues involved in the construction of an intelligent control center driven by the integration of DTs and AI are discussed. By considering the construction elements of space and time dimensions, the tensioning process is controlled at multiple levels, thereby realizing the intelligent tensioning of prestressed cables. Driven by intelligent tensioning methods, the safety performance evaluation of the intelligent tensioning process is analyzed. Combined with sensing equipment and intelligent algorithms, a high-fidelity twin model and three-dimensional integrated data model are constructed to realize closed-loop control of the intelligent tensioning safety evaluation. Through the study of digital twins and artificial intelligence fusion to drive the intelligent tensioning method for prestressed cables, this study focuses on the analysis of the intelligent evaluation of safety performance. This study provides a reference for fusion applications with DTs and AI in intelligent tensioning of prestressed cables.","url":"https://doi.org/10.3390/s20247006","authors":["Zhansheng Liu","Guoliang Shi","Anshan Zhang","Chun Huang"],"tags":["Intelligent control","Prestressed concrete","Process (computing)","Engineering","Intelligent decision support system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-08","doi":"https://doi.org/10.3390/s20247006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392202540","name":"Data-driven models and digital twins for sustainable combustion technologies","source":"openalex","abstract":"We highlight the critical role of data in developing sustainable combustion technologies for industries requiring high-density and localized energy sources. Combustion systems are complex and difficult to predict, and high-fidelity simulations are out of reach for practical systems because of computational cost. Data-driven approaches and artificial intelligence offer promising solutions, enabling renewable synthetic fuels to meet decarbonization goals. We discuss open challenges associated with the availability and fidelity of data, physics-based numerical simulations, and machine learning, focusing on developing digital twins capable of mirroring the behavior of industrial combustion systems and continuously updating based on newly available information.","url":"https://doi.org/10.1016/j.isci.2024.109349","authors":["Alessandro Parente","N. Swaminathan"],"tags":["Combustion","Data science","Chemistry","Nanotechnology","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-27","doi":"https://doi.org/10.1016/j.isci.2024.109349","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4407821863","name":"Digital twin model for analyzing deformation and seepage in high earth-rock dams","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2025.106079","authors":["Jichen Tian","Ruili Yu","Jiankang Chen","Chen Chen","Yanling Li","Xinjian Sun","Huibao Huang"],"tags":["Geology","Deformation (meteorology)","Geotechnical engineering","Earth (classical element)","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-21","doi":"https://doi.org/10.1016/j.autcon.2025.106079","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4389352625","name":"Distributed Digital Twins as Proxies-Unlocking Composability and Flexibility for Purpose-Oriented Digital Twins","source":"openalex","abstract":"In the realm of Industrial Internet of Things (IoT) and Industrial Cyber-Physical Systems (ICPS), Digital Twins (DTs) have revolutionized the management of physical entities. However, existing implementations often face constraints due to hardware-centric approaches and limited flexibility. This article introduces a transformative paradigm that harnesses the potential of distributed Digital Twins as proxies, enabling software-centricity and unlocking composability and flexibility for purpose-oriented digital twin development and deployment. The proposed microservices-based architecture, rooted in service-oriented architecture (SOA) and microservices principles, emphasizes reusability, modularity, and scalability. Leveraging the Lean Digital Twin Methodology and packaged business capabilities expedites digital twin creation and deployment, facilitating dynamic responses to evolving industrial demands. This architecture segments the industrial realm into physical and virtual spaces, where core components are responsible for digital twin management, deployment, and secure interactions. By abstracting and virtualizing physical entities into individual digital twins, this approach establishes the groundwork for purpose-oriented composite digital twin creation. Our key contributions involve a comprehensive exposition of the architecture, a practical proof-of-concept (PoC) implementation, and the application of the architecture in a use-case scenario. Additionally, we provide an analysis, including a quantitative evaluation of the proxy aspect and a qualitative comparison with traditional approaches. This assessment emphasizes key properties such as reusability, modularity, abstraction, discoverability, and security, transcending the limitations of contemporary industrial systems and enabling agile, adaptable digital proxies to meet modern industrial demands.","url":"https://doi.org/10.1109/access.2023.3340132","authors":["Abdullah Nur Aziz","Shailesh Singh Chouhan","Olov Schelén","Ulf Bodin"],"tags":["Computer science","Composability","Software deployment","Architecture","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3340132","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4366000526","name":"Digital twin concept: Healthcare, education, research","source":"openalex","abstract":"Introducing the concept of digital twins in healthcare, medical education, and research is a complex multistage challenge requiring participation of multidisciplinary teams. In pursuing this goal, we have created a validated database of scans of colorectal tumor slides associated with relevant clinical and histological information. This database is also linked to the blood bank, which opens a wide range of opportunities for further research. Herein, we present our experience within the scope of the digital twins initiative.","url":"https://doi.org/10.1016/j.jpi.2023.100313","authors":["Maria A. Peshkova","V. A. Yumasheva","Ekaterina Rudenko","Natalia Kretova","Peter Timashev","Т. А. Демура"],"tags":["Scope (computer science)","Multidisciplinary approach","Computer science","Health care","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.jpi.2023.100313","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3214937918","name":"Application of digital twin technologies in construction: an overview of opportunities and challenges","source":"openalex","abstract":"Application of digital twin technologies in construction: an overview of opportunities and challenges Haibo Feng, Qian Chen and Borja Garcia de Soto Pages 979-986 (2021 Proceedings of the 38th ISARC, Dubai, UAE, ISBN 978-952-69524-1-3, ISSN 2413-5844) Abstract: Digital twin technologies have been widely used among different industries, for which different conceptual models and system architectures have been proposed. However, exactly what processes are required for establishing a digital twin for intended use cases has not been fully studied. This study adopts the systematic literature review analysis focusing on analyzing case studies on digital twin models, highlighting the practical steps on developing a digital twin and the challenges faced by various researchers in this field. After a rigorous selection of relevant literature, a total of 23 scientific publications were systematically reviewed. The literature focused on articles published very recently (2016-2021) to convey the well-updated information regarding the developments of digital twins in the construction domain. The findings synthesized the main processes of establishing and using digital twin technologies in the AEC industry, including the data acquisition processes, data transmission processes, data modeling processes, data integration processes, and the servicing processes. Although using digital twin models could improve the stakeholders' decision-making processes, several challenges regarding data integration and data security still exist in the existing practices. The digital twin models require people with the right skills to construct them, a large amount of funds, and the latest technologies with higher computational power to successfully develop them. Keywords: Digital twin technologies; Use cases; Information integration; Stakeholder collaboration; Sustainability DOI: https://doi.org/10.22260/ISARC2021/0132 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley","url":"https://doi.org/10.22260/isarc2021/0132","authors":["Haibo Feng","Qian Chen","Borja García de Soto"],"tags":["Computer science","Data science","Construct (python library)","Field (mathematics)","Pure mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-02","doi":"https://doi.org/10.22260/isarc2021/0132","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3047351058","name":"Human Digital Twins and Cognitive Mimetic","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-55307-4_15","authors":["Pertti Saariluoma","José J. Cañas","Antero Karvonen"],"tags":["Computer science","Cognition","Ontology","Process (computing)","Action (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-05","doi":"https://doi.org/10.1007/978-3-030-55307-4_15","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4315783140","name":"Digital Twin – A Tool for Project Management in Manufacturing","source":"openalex","abstract":"The Digital Twin concept has the potential to be a useful tool in project management and in Lean manufacturing. The common goal of risk management by project managers and mitigating unpredictable behavior using the Digital Twin can improve the development of manufacturing systems. Digital Twins would also aid project managers in managing resources and communication between stakeholders. The researcher is working with a manufacturing SME in the engineering sector in the application of digitalisation tools to optimize production operations. A Digital Twin is being developed, and this will be used to investigate aspects of risk and resource management as well as the benefits of communication using visualization. Are there aspects of process development that can now be measured using Digital Twins that we were not capable of previously? The Digital Twin as a central point of reference for information about a manufacturing process and its associated equipment could add efficiencies to maintenance and process improvements over the lifecycle of a system.","url":"https://doi.org/10.1016/j.procs.2022.12.268","authors":["Brian Hickey","Dr Carine Gachon","Dr John Cosgrove"],"tags":["Computer science","Process (computing)","Process management","Lean manufacturing","Project management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procs.2022.12.268","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4311011541","name":"Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review","source":"openalex","abstract":"Digital twins technology (DTT) is an application framework with breakthrough rules. With the deep integration of the virtual information world and physical space, it becomes the basis for realizing intelligent machining production lines, which is of great significance to intelligent processing in industrial manufacturing. This review aims to study the application of DTT and the Metaverse in fluid machinery in the past 5 years by summarizing the application status of pumps and fans in fluid machinery from the perspective of DTT and the Metaverse through the collection, classification, and summary of relevant literature in the past 5 years. The research found that in addition to relatively mature applications in intelligent manufacturing, DTT and Metaverse technologies play a critical role in the development of new pump products and technologies and are widely used in numerical simulation and fault detection in fluid machinery for various pumps and other fields. Among fan-type fluid machinery, twin fans can comprehensively use technologies, such as perception, calculation, modeling, and deep learning, to provide efficient smart solutions for fan operation detection, power generation visualization, production monitoring, and operation monitoring. Still, there are some limitations. For example, real-time and accuracy cannot fully meet the requirements in the mechanical environment with high-precision requirements. However, there are also some solutions that have achieved good results. For instance, it is possible to achieve significant noise reduction and better aerodynamic performance of the axial fan by improving the sawtooth parameters of the fan and rearranging the sawtooth area. However, there are few application cases of the Metaverse in fluid machinery. The cases are limited to operating real equipment from a virtual environment and require the combination of virtual reality and DTT. The application effect still needs further verification.","url":"https://doi.org/10.3390/s22239294","authors":["Bin Yang","Shuang Yang","Zhihan Lv","Faming Wang","Thomas Olofsson"],"tags":["Computer science","Sawtooth wave","Perspective (graphical)","Field (mathematics)","Machining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-29","doi":"https://doi.org/10.3390/s22239294","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4200297329","name":"Thinking fast and slow in disaster decision-making with Smart City Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.1038/s43588-021-00174-0","authors":["Neda Mohammadi","John E. Taylor"],"tags":["Pace","Smart city","Computer security","Computer science","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-20","doi":"https://doi.org/10.1038/s43588-021-00174-0","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4403668433","name":"Digital twins in bridge engineering for streamlined maintenance and enhanced sustainability","source":"openalex","abstract":"Digital twins are evolving to oversee the entire construction life cycle, with a strong emphasis on sustainability across environmental, financial, regulatory, and administrative dimensions. This paper introduces a methodology for managing existing bridges through an adaptable digital twin. The aim of this research is to develop a framework for constructing digital twins that, by enabling structural analysis and “what-if” scenario simulations, supports more reliable maintenance decision-making. Such type of digital twin ensure safety, extend lifespan, and provide a precise database for managing end-of-life processes within a circular “cradle to cradle” framework. This methodology also addresses obsolescence issues related to software evolution and the longer lifespan of a bridge compared to its creator. A case study demonstrates the methodology's effectiveness, showing that digital twins can be flexible, cost-effective tools for managing all types of bridges, including small and existing ones. • A bridge management methodology is introduced using an interoperable digital twin. • Two case studies illustrate the methodology for managing small and large bridges. • Cost-effective technology and optimization methods yield benefits for small bridges. • Interoperable formats enable degradation prediction and hazard scenario creation.","url":"https://doi.org/10.1016/j.autcon.2024.105834","authors":["M. Franciosi","Michel Kasser","M. Viviani"],"tags":["Bridge (graph theory)","Sustainability","Construction engineering","Engineering","Civil engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-23","doi":"https://doi.org/10.1016/j.autcon.2024.105834","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3205239936","name":"Digital building twins and blockchain for performance-based (smart) contracts","source":"openalex","abstract":"Servitization business models can use performance-based contracts to consider overall life-cycle costs rather than just production costs. However, practical implementation of performance contracts has been limited due to challenges with performance evaluation, accountability, and financial concepts. As a solution, this paper proposes the connection of the digital building twin with blockchain-based smart contracts to execute performance-based digital payments. First, we conceptualize a technical architecture to connect blockchain to digital building twins. The digital building twin stores and evaluates performance data in real-time. The blockchain ensures transparency and trusted execution of automatic performance evaluation and rewards through smart contracts. Next, we demonstrate the feasibility of both the concept and technical architecture by integrating the Ethereum blockchain with digital building models and sensors via the Siemens building twin platform. The resulting prototype is the first full-stack implementation of a performance-based smart contract in the built environment.","url":"https://doi.org/10.1016/j.autcon.2021.103981","authors":["Jens Hunhevicz","Mahshid Motie","Daniel Hall"],"tags":["Blockchain","Smart contract","Architecture","Transparency (behavior)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-11","doi":"https://doi.org/10.1016/j.autcon.2021.103981","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4309265165","name":"Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2022.11.007","authors":["Xinyu Liu","Lianyu Zheng","Yiwei Wang","Weiwei Yang","Zhengyuan Jiang","Binbin Wang","Fei Tao","Yun Li"],"tags":["Mechanism (biology)","Wearable computer","Scale (ratio)","Space (punctuation)","Wearable technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-01","doi":"https://doi.org/10.1016/j.jmsy.2022.11.007","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4226504779","name":"Demonstration of ML-Assisted Soft-Failure Localization Based on Network Digital Twins","source":"openalex","abstract":"In optical transport networks, failure localization is usually triggered as a response to alarms and significant anomalous behaviors. However, the recent evolution of network control and management leveraging software-defined networking (SDN) and streaming-based telemetry opens up new possibilities for automated methods that can localize even subtle anomalies, the so-called soft failures. This paper reports the experimental demonstration of a machine-learning-based soft-failure localization framework in a small-scale laboratory setup. The SDN telemetry setup includes ONOS-controlled transponders using NETCONF and an optical line system (OLS) providing telemetry via an OLS domain controller. A shallow artificial neural network (ANN) accomplishes ML-based failure localization with principal component analysis to reduce non-essential information. The ANN is trained by combining field data and synthetic data generated in a digital network twin. The field data trains the ANN to tolerate statistical variations in the network telemetry without failures, while the synthetic data generates artificial single-failure scenarios. We show that the soft-failure localization scheme successfully pinpoints the faulty element in all single failures generated in transponders, fibers, and amplifiers. We also demonstrate the system’s ability to deal with double-failure scenarios.","url":"https://doi.org/10.1109/jlt.2022.3170278","authors":["Kayol S. Mayer","Rossano P. Pinto","Jonathan Aguiar Soares","Dalton S. Arantes","Christian Esteve Rothenberg","Vinicius Cavalcante","Leonardo Luis Santos","Filipe D. Moraes","Darli A. A. Mello"],"tags":["Telemetry","Computer science","Artificial neural network","Network element","Controller (irrigation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-26","doi":"https://doi.org/10.1109/jlt.2022.3170278","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3214123909","name":"Enhancing the Security of Unmanned Aerial Systems using Digital-Twin Technology and Intrusion Detection","source":"openalex","abstract":"In this paper the general susceptibilities of Unmanned Aerial Vehicles (UAVs) against modern-cyber threats are explored and potential solutions proposed. This is achieved by applying digital-twin architectures and data-driven methods to UAVs to facilitate identification of real-time intrusions and anomalies. These concepts are validated by performing novelty detection on open access UAV flight data with GPS spoofing attacks, which represents a typical system use-case. Multiple machine learning models are trained to demonstrate the feasibility of detecting modern cyber-intrusions and anomalies using the digital-twin architecture. This includes both classical and deep learning techniques to help identify the most suitable model types for the proposed design. The overall results are positive and help highlight the potential of digital-twin architectures for the UAV contexts.","url":"https://doi.org/10.1109/dasc52595.2021.9594321","authors":["Benjamín Fraser","Saba Al–Rubaye","Sohaib Aslam","Antonios Tsourdos"],"tags":["Computer science","Intrusion detection system","Spoofing attack","Identification (biology)","Novelty"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-03","doi":"https://doi.org/10.1109/dasc52595.2021.9594321","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4396607325","name":"Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.scs.2024.105479","authors":["Gang Yu","Xianming Ye","Xiaohua Xia","YangQuan Chen"],"tags":["Electric vehicle","Transition (genetics)","Telecommunications","Engineering","Transport engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-03","doi":"https://doi.org/10.1016/j.scs.2024.105479","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3203169923","name":"Anomaly Detection in Digital Twin Model","source":"openalex","abstract":"As the simulation model of a physical system, digital twin has been widely used in many complicated control systems. Providing an effective way to perform simulation, digital twin makes the evaluation, prediction and optimization process cheaper and easier than on physical systems. For smart manufacturing, digital twin achieves high productivity with less operation and maintenance cost. However, the advantages of digital twin in anomaly detection during manufacturing are always neglected. Taking a two-speed transmission system as an example, we generate three kinds of faults on this digital twin model. After extracting features from the system output, we train an anomaly detection model on these features to classify each type of fault. By this digital twin model, we can find the fault in the whole system at the very beginning, and reduce the time and cost of debugging and diagnosing.","url":"https://doi.org/10.1109/dtpi52967.2021.9540116","authors":["Yutong Wang","Yansong Cao","Fei–Yue Wang","Fei-Yue Wang"],"tags":["Debugging","Computer science","Fault (geology)","Anomaly detection","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-15","doi":"https://doi.org/10.1109/dtpi52967.2021.9540116","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4386391916","name":"Metaverse and microorganism digital twins: A deep transfer learning approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.asoc.2023.110798","authors":["Mohammad Jamshidi","Saleh Sargolzaei","Salimeh Foorginezhad","Omid Moztarzadeh"],"tags":["Multicellular organism","Computer science","Bacteria","Microorganism","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-02","doi":"https://doi.org/10.1016/j.asoc.2023.110798","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4410737780","name":"An Overview of Digital Twin Technology for Power Electronics: State-of-the-Art and Future Trends","source":"openalex","abstract":"Power electronic systems (PESs) are pivotal in power generation, transmission, and diverse industrial applications. With the increasing shift toward digitalization, digital twin (DT) technology has emerged as a transformative enabler, enhancing the informatization and intelligence of PESs. This paper offers a comprehensive overview of DT applications for PESs, highlighting core features of real-time synchronization, accurate mapping, seamless data interaction, and high-fidelity modeling. Four prevalent DT modeling approaches are reviewed, with a detailed discussion of their respective strengths and challenges in the context of PESs. The paper further examines the role of DT across three critical lifecycle phases—design, control, and maintenance—illustrating how DT optimizes and drives innovation at each phase. By reviewing over 170 publications, this study identifies key trends, implementation challenges, and research gaps, offering valuable insights into the state-of-the-art and future directions for DT in PESs. This work aims to serve as a foundational reference for researchers and practitioners, fostering a deep understanding of the potential of DT and providing a comprehensive grasp of the application in academics and the industry.","url":"https://doi.org/10.1109/tpel.2025.3570638","authors":["Chenhao Wu","Zhexin Cui","Qian Xia","Jiguang Yue","Feng Lyu"],"tags":["Power electronics","Electronics","State (computer science)","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-26","doi":"https://doi.org/10.1109/tpel.2025.3570638","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3171674920","name":"Sustainability Requirements of Digital Twin-Based Systems: A Meta Systematic Literature Review","source":"openalex","abstract":"Sustainable development was defined by the UN in 1987 as development that meets the needs of the present without compromising the ability of future generations to meet their own needs, and this is a core concept in this paper. This work acknowledges the three dimensions of sustainability, i.e., economic, social, and environmental, but its focus is on this last one. A digital twin (DT) is frequently described as a physical entity with a virtual counterpart, and the data, connections between the two, implying the existence of connectors and blocks for efficient and effective data communication. This paper provides a meta systematic literature review (SLR) (i.e., an SLR of SLRs) regarding the sustainability requirements of DT-based systems. Numerous papers on the subject of DT were also selected because they cited the analyzed SLRs and were considered relevant to the purposes of this research. From the selection and analysis of 29 papers, several limitations and challenges were identified: the perceived benefits of DTs are not clearly understood; DTs across the product life cycle or the DT life cycle are not sufficiently studied; it is not clear how DTs can contribute to reducing costs or supporting decision-making; technical implementation of DTs must be improved and better integrated in the context of the IoT; the level of fidelity of DTs is not entirely evaluated in terms of their parameters, accuracy, and level of abstraction; and the ownership of data stored within DTs should be better understood. Furthermore, from our research, it was not possible to find a paper discussing DTs only in regard to environmental sustainability.","url":"https://doi.org/10.3390/app11125519","authors":["Rui Carvalho","Alberto Rodrigues da Silva"],"tags":["Computer science","Sustainability","Fidelity","Context (archaeology)","Systematic review"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-15","doi":"https://doi.org/10.3390/app11125519","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4394805711","name":"Designing Digital Twins of Robots Using Simscape Multibody","source":"openalex","abstract":"Digital twins of industrial and collaborative robots are widely used to evaluate and predict the behavior of manipulators under different control strategies. However, these digital twins often employ simplified mathematical models that do not fully describe their dynamics. In this paper, we present the design of a high-fidelity digital twin of a six degrees-of-freedom articulated robot using Simscape Multibody, a Matlab toolbox that allows the design of robotic manipulators in a rather intuitive and user-friendly manner. This robot digital twin includes joint friction, transmission gears, and electric actuators dynamics. After assessing the dynamic accuracy of the Simscape model, we used it to test a computed torque control scheme, proving that this model can be reliably used in simulations with different aims, such as validating control schemes, evaluating collaborative functions or minimizing power consumption.","url":"https://doi.org/10.3390/robotics13040062","authors":["Giovanni Boschetti","Teresa Sinico"],"tags":["Robot","Control engineering","Torque","Computer science","MATLAB"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-14","doi":"https://doi.org/10.3390/robotics13040062","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4387862306","name":"Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102682","authors":["Gang Yuan","Xiaojun Liu","Changbiao Zhu","Chongxin Wang","Minghao Zhu","Yang Sun"],"tags":["Production line","Production (economics)","Coupling (piping)","Line (geometry)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-21","doi":"https://doi.org/10.1016/j.rcim.2023.102682","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4295182961","name":"Integrating digital twins and deep learning for medical image analysis in the era of COVID-19","source":"openalex","abstract":"Digital twins is a virtual representation of a device and process that captures the physical properties of the environment and operational algorithms/techniques in the context of medical devices and technology. It may allow and facilitate healthcare organizations to determine ways to improve medical processes, enhance the patient experience, lower operating expenses, and extend the value of care. Considering the current pandemic situation of COVID-19, various medical devices, e.g., X-rays and CT scan machines and processes, are constantly being used to collect and analyze medical images. In this situation, while collecting and processing an extensive volume of data in the form of images, machines and processes sometimes suffer from system failures that can create critical issues for hospitals and patients. Thus, in this regard, we introduced a digital twin based smart healthcare system integrated with medical devices so that it can be utilized to collect information about the current health condition, configuration, and maintenance history of the device/machine/system. Furthermore, the medical images, i.e., X-rays, are further analyzed by a deep learning model to detect the infection of COVID-19. The designed system is based on Cascade RCNN architecture. In this architecture, detector stages are deeper and are more sequentially selective against close and small false positives. It is a multi stage extension of the Recurrent Convolution Neural Network (RCNN) model and sequentially trained using the output of one stage for the training of the other one. At each stage, the bounding boxes are adjusted in order to locate a suitable value of nearest false positives during training of the different stages. In this way, an arrangement of detectors is adjusted to increase Intersection over Union (IoU) that overcome the problem of overfitting. We trained the model for X-ray images as the model was previously trained on another data set. The developed system achieves good accuracy during the detection phase of the COVID-19. Experimental outcomes reveal the efficiency of the detection architecture, which gains a mean Average Precision (mAP) rate of 0.94.","url":"https://doi.org/10.1016/j.vrih.2022.03.002","authors":["Imran Ahmed","Misbah Ahmad","Gwanggil Jeon"],"tags":["Computer science","Convolutional neural network","Context (archaeology)","Deep learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-01","doi":"https://doi.org/10.1016/j.vrih.2022.03.002","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4411578217","name":"Review of Applications of Digital Twins and Industry 4.0 for Machining","source":"openalex","abstract":"Digital twins, as part of Industry 4.0, are critical for advanced smart manufacturing processes, including machining. Sensor systems in smart manufacturing allow for real-time tracking of all changes in the machining process as well as simulation of an object’s behavior in the real world. It can also intervene and correct any defects that may arise during the machining process. The current review covers basic concepts for machining processes for the first time in detail, including Big Data, the Internet of Things, product lifecycle management, continuous acquisition and lifecycle support, machine learning, digital twin prototypes, digital twin instances, digital twin aggregates, and digital twin environments. The review article examines digital twins for the most common machining processes, such as turning, milling, drilling, and grinding. This review also highlights the benefits and drawbacks, as well as the prospects for using digital twins in smart manufacturing.","url":"https://doi.org/10.3390/jmmp9070211","authors":["Leonardo Rosa Ribeiro da Silva","Danil Yurievich Pimenov","Rosemar Batista da Silva","Ali Erçetin","Khaled Giasin"],"tags":["Machining","Manufacturing engineering","Engineering","Computer science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-24","doi":"https://doi.org/10.3390/jmmp9070211","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4319320344","name":"Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning","source":"openalex","abstract":"Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditional digital twins do not have the ability to communicate with humans using natural language, which limits their potential usefulness. Although conventional natural language processing methods have proven to be effective in solving certain tasks, neuro-symbolic AI offers a new approach that leads to more robust and versatile solutions. In this paper, we propose neuro-symbolic reasoning (NSR)-a fundamental method for interacting with 3D digital twins using natural language. The method understands user requests and contexts to manipulate 3D components of digital twins and is able to read maintenance manuals and implement installations and removal procedures autonomously. A practical neuro-symbolic dataset of machine-understandable manuals, 3D models, and user queries is collected to train the neuro-symbolic reasoning interaction mechanism. The evaluation demonstrates that NSR can execute user commands accurately, achieving 96.2% accuracy on test data. The proposed method has industrial importance since it provides the technology to perform maintenance procedures, request information from manuals, and serve as a tool to interact with complex virtual machinery using natural language.","url":"https://doi.org/10.3390/s23031729","authors":["Aziz Siyaev","Dilmurod Valiev","Geun‐Sik Jo"],"tags":["Computer science","Cognitive science","Human–computer interaction","Artificial intelligence","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-03","doi":"https://doi.org/10.3390/s23031729","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3060248752","name":"Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul","source":"openalex","abstract":"The UK is home to several major air commercial and transport hubs. As a result, there is a high demand for Maintenance, Repair, and Overhaul (MRO) services to ensure that fleets of aircraft are in airworthy conditions. MRO services currently involve heavy manual labor. This creates bottlenecks, low repeatability, and low productivity. Presented in this paper is an investigation to create an automation cell for the fan-blade reconditioning component of MRO. The design and prototype of the automation cell is presented. Furthermore, a digital twin of the grinding process is developed and used as a tool to explore the required grinding force parameters needed to effectively remove surface material. An integration of a 6-DoF industrial robot with an end-effector grinder and a computer vision system was undertaken. The computer vision system was used for the digitization of the fan-blade surface as well as tracking and guidance of material removal. Our findings reveal that our proposed system can perform material removal, track the state of the fan blade during the reconditioning process and do so within a closed-loop automated robotic work cell.","url":"https://doi.org/10.3390/s20164637","authors":["John Oyekan","Michael Farnsworth","Windo Hutabarat","David A. Miller","Ashutosh Tiwari"],"tags":["Engineering","Automation","Aerospace","Digitization","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-18","doi":"https://doi.org/10.3390/s20164637","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4394874381","name":"Digital Twin for Sustainable Industrial Development","source":"openalex","abstract":"This book chapter delves into the transformative potential of Digital Twins in fostering sustainable industrial development. As industries face increasing pressure to reduce their environmental footprint and embrace eco-friendly practices, the concept of Digital Twins emerges as a promising solution. This chapter explores the key aspects of Digital Twins, including predictive maintenance, resource optimization, process enhancement, and supply chain management. It highlights the significance of leveraging real-time data and advanced analytics to drive energy efficiency, minimize waste, and mitigate emissions. The chapter also addresses the challenges associated with implementing Digital Twins, such as data privacy, cybersecurity, and integration hurdles. By examining the latest innovations and case studies, this chapter offers valuable insights into how Digital Twins can revolutionize the industrial landscape, propelling it toward a more sustainable and responsible future. Additionally, digital twins can be used to monitor the performance of a process in real time and make adjustments as needed. Digital twins are also beneficial in the context of Industry 4.0, which emphasizes the integration of advanced technologies such as Internet of Things, big data, and machine learning in industrial processes. Digital twins can be integrated with these technologies to provide real-time data, enabling companies to make data-driven decisions and improve overall performance.","url":"https://doi.org/10.1201/9781003395416-13","authors":["Pawan Whig","Nikhitha Yathiraju","Venugopal Reddy Modhugu","Ashima Bhatnagar Bhatia"],"tags":["Development (topology)","Sustainable development","Computer science","Mathematics","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-17","doi":"https://doi.org/10.1201/9781003395416-13","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4311402347","name":"Digital twin of an industrial workstation: A novel method of an auto-labeled data generator using virtual reality for human action recognition in the context of human–robot collaboration","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engappai.2022.105655","authors":["Mejdi Dallel","Vincent Havard","Yohan Dupuis","David Baudry"],"tags":["Computer science","Workstation","Convolutional neural network","Virtual reality","Generator (circuit theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.1016/j.engappai.2022.105655","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4390033781","name":"Implementing a Digital Twin-based fault detection and diagnosis approach for optimal operation and maintenance of urban distributed solar photovoltaics","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ref.2023.100530","authors":["Samir Idrissi Kaitouni","Ibtihal Ait Abdelmoula","Niima Es-sakali","Mohamed Oualid Mghazli","Houda Er-retby","Zineb Zoubir","Fouad El Mansouri","Mohammed Ahachad","Jamal Brigui"],"tags":["Photovoltaics","Fault (geology)","Reliability engineering","Photovoltaic system","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-20","doi":"https://doi.org/10.1016/j.ref.2023.100530","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3191042458","name":"Research on Digital Twin Construction and Safety Management Application of Inland Waterway Based on 3D Video Fusion","source":"openalex","abstract":"The digital twin can reconstruct the scenes of real traffic operation of inland waterways in virtual space, giving birth to new ideas for the digital transformation and upgrading of water safety management. Aiming at the problems of video fragmentation, sub-system data separation and untimely emergency response in the current inland waterway safety monitoring, this paper proposes a new method for reconstructing and applying a digital twin of inland waterways based on 3D video fusion which consists of four parts: (1) Combining drone tilt photography and BIM modeling technology to construct a three-dimensional scene model of inland waterways; (2) Proposing a multi-channel video three-dimensional registration and rendering method to integrate in real time discrete surveillance videos of different angles of view with three-dimensional scene model to establish the spatial correlation between different video images in the scene; (3) Integrating multi-source IoT sensing data to form a scene of digital twin of inland waterways; (4) Exploring innovative application methods for water safety management based on digital twins to meet the water safety management requirements and business logic of inland waterways. A certain segment of the Changhu Shen Line was selected for demonstration and application. The application results show that the construction and application of digital twins for inland waterways combined with 3D video reduces the pressure on managers to understand real-time video footage and improves the efficiency of daily monitoring, evidence collection, and emergency response.","url":"https://doi.org/10.1109/access.2021.3101653","authors":["Zhaohui Wu","Changxing Ren","Xiaobo Wu","Liang Wang","Lin Zhu","Ziyi Lv"],"tags":["Computer science","Rendering (computer graphics)","Real-time computing","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1109/access.2021.3101653","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4394820861","name":"A digital twin-enabled digital spare parts supply chain","source":"openalex","abstract":"An efficient and effective spare parts supply chain management is crucial to ensure highly available production systems. However, achieving such a spare parts supply chain management is challenging due to the intrinsic characteristics of spare parts. Traditional spare parts supply chains (TSPSCs) adopt large spare parts inventories to tackle such intrinsic characteristics, with disadvantages in terms of high inventory costs. Recently, Additive Manufacturing (AM) has shown breakthrough potential, allowing the transition from TSPSCs to digital spare parts supply chains (DSPSCs), where spare parts are no longer stored in large amounts but are stored digitally and produced only when needed. However, despite DSPSCs benefits, a complete transition from TSPSCs to DSPSCs is still far from becoming reality. Indeed, hindering such a transition is a lack of expertise in three main areas, i.e. how to design, operate, and control and monitor a DSPSC. With this position paper, we envision how a digital twin (DT) could overcome these issues, enabling a full transition to a DSPSC. Moreover, this work further concretely suggests how such a DT could be developed, providing the basis for developing both the theoretical and practical knowledge necessary to render DSPSCs a reality.","url":"https://doi.org/10.1080/00207543.2024.2338878","authors":["Mirco Peron"],"tags":["Spare part","Supply chain","Computer science","Materials management","Inventory control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-15","doi":"https://doi.org/10.1080/00207543.2024.2338878","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"oa:W3087583810","name":"Smart city dvelopment with digital twin technology","source":"openalex","abstract":"Growing urban areas are major consumers of natural resources, energy and raw materials. Understanding cities´ urban metabolism is salient when developing sustainable and resilient cities. This paper addresses concepts of smart city and digital twin technology as means to foster more sustainable urban development. Smart city has globally been well adopted concept in urban development. With smart city development cities aim to optimize overall performance of the city, its infrastructures, processes and services, but also to improve socio-economic wellbeing. Dynamic digital twins are constituted to form real-time connectivity between virtual and physical objects. Digital twin combines virtual objects to its physical counterparts. This conceptual paper provides additionally examples from dynamic digital twin platforms and digital twin of Helsinki, Finland.","url":"https://doi.org/10.18690/978-961-286-362-3.20","authors":["Mervi Hämäläinen"],"tags":["Smart city","Computer science","Twin cities","Sustainable development","Salient"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.18690/978-961-286-362-3.20","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4206087111","name":"A Novel Wind Speed-Sensing Methodology for Wind Turbines Based on Digital Twin Technology","source":"openalex","abstract":"Wind speed sensors of wind turbines are prone to suffer from performance degeneration or even drastic failures due to their inherent issues or environmental influence, which directly affect the quality of measurements and the safe operation of wind turbines. To overcome the limitations of inaccuracy and the partial missing of measurements by physical sensors, this work presents a digital twin-driven sensing methodology that enables to augment the physical sensor platform into virtual sensor arrays, thus, identifying the faulty sensors and accommodating them with appropriate estimated data. The proposed method is built upon a series of estimators, verifiers, setters, and selectors and focuses on fault identification, data verification, and reconstruction. The estimators, corresponding to virtual sensors of all physical wind speed sensors, are developed to detect the fault sensors and reconstruct the normal behaviors by using a spatiotemporal network based on multiturbine correlations model. Then, the verifiers are built to check whether the detection results by estimators are accurate by establishing spatiotemporal correlation constraints. In addition, the setters are built to adjust the estimated values and improve the safe operation of turbines based on the estimated values. The selectors are used to confirm the input data source for the turbine control system according to the identification results of both estimators and verifiers. Finally, a comprehensive statistical analysis on five baseline models and three wind speed datasets is conducted. The root mean square error and uncertainty of the proposed method is 0.45 and ±0.009, which demonstrate that the DTSense is capable of conducting the virtual sensor arrays for physical sensing platform effectively and improving the reliability of sensors in engineering applications.","url":"https://doi.org/10.1109/tim.2021.3139698","authors":["Yang Li","Xiaojun Shen"],"tags":["Estimator","Wind power","Turbine","Fault (geology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-31","doi":"https://doi.org/10.1109/tim.2021.3139698","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4319459420","name":"A digital twin–driven monitoring framework for dual-robot collaborative manipulation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-023-11064-2","authors":["Jianguo Duan","Xiangrong Gong","Qinglei Zhang","Jiyun Qin"],"tags":["Key (lock)","Process (computing)","Robotic arm","Robot","Dual (grammatical number)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-08","doi":"https://doi.org/10.1007/s00170-023-11064-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4393279137","name":"Digital Twin-Enabled Internet of Vehicles Applications","source":"openalex","abstract":"The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles (IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis not only refines vehicular design but also substantially augments driver support systems and streamlines traffic governance. Diverging from the prevalent research which predominantly examines DT’s technical assimilation within IoV infrastructures, this review focuses on the specific deployments and goals of DT within the IoV sphere. Through an extensive review of scholarly works from the past 5 years, this paper provides a fresh and detailed perspective on the significance of DT in the realm of IoV. The applications are methodically categorized across four pivotal sectors: industrial manufacturing, driver assistance technology, intelligent transportation networks, and resource administration. This classification sheds light on DT’s diverse capabilities to confront and adapt to the intricate challenges in contemporary vehicular networks. The intent of this comprehensive overview is to catalyze innovation within IoV by providing an essential reference for researchers who aspire to swiftly grasp the complex dynamics of this evolving domain.","url":"https://doi.org/10.3390/electronics13071263","authors":["Junting Gao","Chunrong Peng","Tsutomu Yoshinaga","Guorong Han","Siri Guleng","Celimuge Wu"],"tags":["The Internet","Computer science","Telecommunications","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-28","doi":"https://doi.org/10.3390/electronics13071263","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4388101916","name":"Improving cloud storage and privacy security for digital twin based medical records","source":"openalex","abstract":"Abstract As digital transformation progresses across industries, digital twins have emerged as an important technology. In healthcare, digital twins are created by digitizing patient parameters, medical records, and treatment plans to enable personalized care, assist diagnosis, and improve planning. Data is core to digital twins, originating from physical and virtual entities as well as services. Once processed and integrated, data drives various components. Medical records are critical healthcare data but present unique challenges for digital twins. However, directly storing or encrypting medical records has issues. Plaintext risks privacy leaks while encryption hinders retrieval. To address this, we present a cloud-based solution combining post-quantum searchable encryption. Our system includes key generation using Physical Unable Functions (PUF). It encrypts medical records in cloud storage, verifies records using blockchain, and retrieves records via cloud. By integrating cloud encryption, blockchain verification and cloud retrieval, we propose a secure and efficient cloud-based medical records system for digital twins. Our implementation demonstrates the system provides users efficient and secure medical record services, compared to related designs. This highlights digital twins’ potential to transform healthcare through secure data-driven personalized care, diagnosis and planning.","url":"https://doi.org/10.1186/s13677-023-00523-6","authors":["Haibo Yi"],"tags":["Cloud computing","Encryption","Computer science","Medical record","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-30","doi":"https://doi.org/10.1186/s13677-023-00523-6","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4205358918","name":"Digital Twin for Cybersecurity: Towards Enhancing Cyber Resilience","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-93479-8_4","authors":["Rajiv Faleiro","Lei Pan","Shiva Raj Pokhrel","Robin Doss"],"tags":["Resilience (materials science)","Computer security","Cyber-physical system","Computer science","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-93479-8_4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4207051567","name":"Developing and user-testing a “Digital Twins” prototyping tool for architectural design","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2022.104140","authors":["Saleh Kalantari","Sina Pourjabar","Tong Bill Xu","Julia Kan"],"tags":["Computer science","Modular design","Personalization","Usability","Rapid prototyping"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-21","doi":"https://doi.org/10.1016/j.autcon.2022.104140","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4391992499","name":"Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept","source":"openalex","abstract":"Digital twins (DTs) have driven major advancements across various industrial domains over the past two decades. With the rapid advancements in autonomous driving and vehicle-to-everything (V2X) technologies, integrating DTs into vehicular platforms is anticipated to further revolutionize smart mobility systems. In this paper, a new smart mobility DT (SMDT) platform is proposed for the control of connected and automated vehicles (CAVs) over next-generation wireless networks. In particular, the proposed platform enables cloud services to leverage the abilities of DTs to promote the autonomous driving experience. To enhance traffic efficiency and road safety measures, a novel navigation system that exploits available DT information is designed. The SMDT platform and navigation system are implemented with state-of-the-art products, e.g., CAVs and roadside units (RSUs), and emerging technologies, e.g., cloud and cellular V2X (C-V2X). In addition, proof-of-concept (PoC) experiments are conducted to validate system performance. The performance of SMDT is evaluated from two standpoints:(i)the rewards of the proposed navigation system on traffic efficiency and safety and,(ii)the latency and reliability of the SMDT platform. Our experimental results using SUMO-based large-scale traffic simulations show that the proposed SMDT can reduce the average travel time and the blocking probability due to unexpected traffic incidents. Furthermore, the results record a peak overall latency for DT modeling and route planning services to be 155.15 ms and 810.59 ms, respectively, which validates that our proposed design aligns with the 3GPP requirements for emerging V2X use cases and fulfills the targets of the proposed design. Our demonstration video can be found athttps://youtu.be/3waQwlaHQkk.","url":"https://doi.org/10.1109/tiv.2024.3368109","authors":["K. C. Wang","Zongdian Li","Kazuma Nonomura","Tao Yu","Kei Sakaguchi","Omar Hashash","Walid Saad"],"tags":["Proof of concept","Computer science","Human–computer interaction","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-21","doi":"https://doi.org/10.1109/tiv.2024.3368109","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4322629912","name":"A tool-based system architecture for a digital twin: a case study in a healthcare facility","source":"openalex","abstract":"Changes in the local and global markets are forcing A/E/C/FM (Architecture, Engineering, Construction, and Facility Management) organizations to deliver more robust and innovative operational BIMs (Building Information Models). It is hypothesized that BIMs will transform from a static 3D model to a Digital Twin providing a truly digital representation of the physical asset or the building it represents. This transformation to a dynamic Digital Twin will allow the A/E/C/FM industry to visualize, monitor, and optimize operational assets and processes to support better inspection and analysis for a more efficient facility operations and maintenance. To support the adoption and implementation of Digital Twin in A/E/C/FM, the authors have defined two clear objectives. First, we discuss requirements for a functionality-based canonical architecture to create a digital twin followed by proposing two tool-based system architecture options for its implementation. Second, we use a case study approach to develop a proof-of-concept Digital Twin of an operating room in a healthcare facility using Power BI Desktop and Azure Services. The prototype aims to monitor room air quality as per INAIL (National Institute for Insurance against Accidents at Work) and ISO (International Organization for Standards) standards. Multiple sensors connected to a Raspberry Pi 4 are used to capture real-time data for various air quality parameters including temperature, humidity, airflow, particulate contamination, and Nitrous Oxide (N2O) gas. Multiple dashboards are also created to visualize, monitor, and analyze the data harnessed from the OR sensors. The implementation addresses critical issues including security, data storage, visualization, processing, data streaming, collection, and analysis. As an initial validation, the Digital Twin prototype was presented and discussed with a healthcare BIM manager. Initial feedback from the industry expert indicated that the prototype could decrease the required time to respond to facility maintenance issues such as decreased air flow due to possible obstructions.","url":"https://doi.org/10.36680/j.itcon.2023.006","authors":["Ashit Harode","Walid Thabet","Poorvesh Dongre"],"tags":["Systems engineering","Architecture","Facility management","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-28","doi":"https://doi.org/10.36680/j.itcon.2023.006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4319300573","name":"Digital Twin-Based Automated Fault Diagnosis in Industrial IoT Applications","source":"openalex","abstract":"In recent years, Digital Twin (DT) has gained significant interest from academia and industry due to the advanced in information technology, communication systems, Artificial Intelligence (AI), Cloud Computing (CC), and Industrial Internet of Things (IIoT). The main concept of the DT is to provide a comprehensive tangible, and operational explanation of any element, asset, or system. However, it is an extremely dynamic taxonomy developing in complexity during the life cycle that produces a massive amount of engendered data and information. Likewise, with the development of AI, digital twins can be redefined and could be a crucial approach to aid the Internet of Things (IoT)-based DT applications for transferring the data and value onto the Internet with better decision-making. Therefore, this paper introduces an efficient DT-based fault diagnosis model based on machine learning (ML) tools. In this framework, the DT model of the machine is constructed by creating the simulation model. In the proposed framework, the Genetic algorithm (GA) is used for the optimization task to improve the classification accuracy. Furthermore, we evaluate the proposed fault diagnosis framework using performance metrics such as precision, accuracy, F-measure, and recall. The proposed framework is comprehensively examined using the triplex pump fault diagnosis. The experimental results demonstrated that the hybrid GA-ML method gives outstanding results compared to ML methods like Logistic Regression (LR), Naïve Bayes (NB), and Support Vector Machine (SVM). The suggested framework achieves the highest accuracy of 95% for the employed hybrid GA-SVM. The proposed framework will effectively help industrial operators make an appropriate decision concerning the fault analysis for IIoT applications in the context of Industry 4.0.","url":"https://doi.org/10.32604/cmc.2023.034048","authors":["Samah Alshathri","Ezz El‐Din Hemdan","Walid El‐Shafai","Amged Sayed"],"tags":["Computer science","Support vector machine","Machine learning","Artificial intelligence","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.32604/cmc.2023.034048","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4402504395","name":"Potentials of digital twin system for analyzing travel behavior decisions","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tbs.2024.100902","authors":["Mahdi Aghaabbasi","Soheil Sabri"],"tags":["Computer science","Transport engineering","Business","Computer security","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-13","doi":"https://doi.org/10.1016/j.tbs.2024.100902","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3015562355","name":"Lifespan Prediction Technique for Digital Twin-Based Noise Barrier Tunnels","source":"openalex","abstract":"Noise barrier tunnels (NBTs) comprise prefabricated components that are easily replaceable, reusable, and have the capacity to improve performance when applied to components as their replacements. Reusing NBTs is more price competitive and environmentally friendly than producing new components. However, determining the remaining life of components before they need to be dismantled, using existing NBTs and their maintenance methods, is a considerable challenge. Therefore, this study used a prototype of the digital twin of an NBT to predict the condition and life of tunnel components using numerical behavior analyses. The prototype of the digital twin used in this study could be used to analyze behaviors using a gyro sensor, thereby enabling life analyses. Girders are structural components that have shorter life expectancies than components close to the ground. Component analysis results indicated that our proposed method confirmed changes in the life of girders and column components. Moreover, a negligible change in the life of the purlin component was confirmed. Life cycles management using digital twins can help reduce NBT installation costs, facilitate resource recycling, and make the installation process eco-friendly as they can aid in identifying components that require replacements in the initial designing stage and establish a procurement plan.","url":"https://doi.org/10.3390/su12072940","authors":["Jinwooung Kim","Sung-Ah Kim"],"tags":["Reuse","Component (thermodynamics)","Procurement","Computer science","Noise (video)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-07","doi":"https://doi.org/10.3390/su12072940","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3048707732","name":"Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2020.08.002","authors":["Zheng Xu","Fenzhu Ji","Shuiting Ding","Yunhai Zhao","Yu Zhou","Qi Zhang","Farong Du"],"tags":["Engineering","Process (computing)","Automotive engineering","Two-stroke engine","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-12","doi":"https://doi.org/10.1016/j.jmsy.2020.08.002","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4400111243","name":"Generative AI-Driven Digital Twin for Mobile Networks","source":"openalex","abstract":"The sixth generation mobile network (6G) is evolving to provide ubiquitous connections, multidimensional perception, native intelligence, global coverage, etc., which poses intense demands for network design to tackle the highly dynamic context and diverse service requirements. Digital Twin (DT) is envisioned as an efficient method for designing 6G that migrates the behaviors of physical nodes to the virtual space. However, in the high-dynamic 6G network, there still exist challenges in achieving accuracy and flexibility when constructing DT. In this article, we propose a Generative Artificial Intelligence (GAI)-driven mobile network digital twin paradigm, where the GAI is utilized as a key enabler to generate DT data. Specifically, GAI is capable of implicitly learning the complex distribution of network data, allowing it to sample from the distribution and obtain high-fidelity data. In addition, the construction of DT is closely related to various types of data, such as environmental, user, and service data. GAI can utilize these data as conditions to control the generation process under different scenarios, thereby enhancing flexibility. In practice, we develop a network digital twin prototype system to accurately model the behaviors of mobile network elements ($i.e$., mobile users, base stations, and wireless environments) and to evaluate network performance. Evaluation results demonstrate that the proposed prototype system can generate high-fidelity DT data and provide practical network optimization solutions.","url":"https://doi.org/10.1109/mnet.2024.3420702","authors":["Haoye Chai","Huandong Wang","Tong Li","Zhaocheng Wang"],"tags":["Computer science","Generative grammar","Mobile telephony","Artificial intelligence","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-28","doi":"https://doi.org/10.1109/mnet.2024.3420702","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4399800301","name":"A status digital twin approach for physically monitoring over-and-under excavation in large tunnels","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102648","authors":["Weili Fang","Weiya Chen","Peter E.D. Love","Hanbin Luo","Haiming Zhu","Jiajing Liu"],"tags":["Excavation","Computer science","Engineering","Mining engineering","Geotechnical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-19","doi":"https://doi.org/10.1016/j.aei.2024.102648","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W2971943145","name":"Automated Generation of as-manufactured geometric Representations for Digital Twins using STEP","source":"openalex","abstract":"Digital Twins enable the analysis of systems under real world conditions using multiphysics models, sensors and bidirectional data connections between the digital and the physical twin. At the core of the Digital Twin lies the three-dimensional geometric representation of the system. The paper presents a method to enhance the level of symmetry between real and virtual space and create geometric twins of parts. The proposed method unifies the 3D CAD model with selected real measurements to generate as-manufactured geometric representations. The generation is automated using modification algorithms and based on the STEP data format of the international standard for product data representation and exchange (ISO 10303).","url":"https://doi.org/10.1016/j.procir.2019.04.305","authors":["Sebastian Haag","Reiner Anderl"],"tags":["Representation (politics)","Computer science","CAD","Geometric modeling","Geometric data analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2019.04.305","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4384780698","name":"The Wind and Photovoltaic Power Forecasting Method Based on Digital Twins","source":"openalex","abstract":"Wind and photovoltaic (PV) power forecasting are crucial for improving the operational efficiency of power systems and building smart power systems. However, the uncertainty and instability of factors affecting renewable power generation pose challenges to power system operations. To address this, this paper proposes a digital twin-based method for predicting wind and PV power. By utilizing digital twin technology, this approach provides a highly realistic simulation environment that enables accurate monitoring, optimal control, and decision support for power system operations. Furthermore, a digital twin platform for the AI (Artificial Intelligence) Grid is established, allowing real-time monitoring, and ensuring the safe, reliable, and stable operation of the grid. Additionally, a deep learning-based model WPNet is developed to predict wind and PV power at specific future time points. Four datasets are constructed based on weather conditions and historical wind and PV power data from the Flanders and Wallonia regions. The prediction models presented in this paper demonstrate excellent performance on these datasets, achieving mean square error (MSE) values of 0.001399, 0.001833, 0.000704, and 0.002708; mean absolute error (MAE) values of 0.025164, 0.027854, 0.018592, and 0.033501; and root mean square error (RMSE) values of 0.037409, 0.042808, 0.026541, and 0.052042, respectively.","url":"https://doi.org/10.3390/app13148374","authors":["Yonggui Wang","Yong Qi","Jian Li","Le Huan","Yusen Li","Bitao Xie","Yongshan Wang"],"tags":["Photovoltaic system","Mean squared error","Wind power forecasting","Computer science","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-19","doi":"https://doi.org/10.3390/app13148374","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3091451186","name":"An ARMA-Based Digital Twin for MEMS Gyroscope Drift Dynamics Modeling and Real-Time Compensation","source":"openalex","abstract":"The applications of Inertial Measurement Unit (IMU) based on Micro Electro Mechanical System (MEMS) are widely used because of its low-cost, small volume and low energy consumption. Unlike the accelerometers and magnetometers, which are respectively sensitive to vibrations and ferrous materials interference, MEMS type gyroscope is able to provide stable orientation information for a short period of time. Compared with these two sensors, gyroscopes are neither disturbed by vibrations nor affected by metallic materials, and therefore it would be one of the primary sensors for industrial applications. Reviewing the most recently related works, accurate attitude estimations are usually obtained by fusing gyro integration. However, it is well known that series drifts will be induced after a long-term integration. Furthermore, according to the literature and the associated experiments, they all demonstrated that MEMS type gyroscopes have strong temperature correlation because of the silicon structure. Put it simply, the temperature variations will give rise to gyro drifts severely and thereby degrade the orientation estimation precision. To address this problem, this article proposed a temperature modeling technique and a real-time drift pre-compensation procedure by applying autoregressive moving average (ARMA) technology. Different from the traditional modeling methods, the proposed method is able to describe transient drifting behaviors as well as steady state ones. Moreover, comparison studies using artificial neural networks (ANNs) are also presented. Experiments show that the proposed method provides a stable and reliable temperature-caused gyroscope drift pre-compensation. The developed method is also very suitable for the realization in a low-cost embedded system.","url":"https://doi.org/10.1109/jsen.2020.3028140","authors":["Yi-Hsuan Tu","Chao-Chung Peng"],"tags":["Gyroscope","Inertial measurement unit","Accelerometer","Compensation (psychology)","Vibrating structure gyroscope"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-01","doi":"https://doi.org/10.1109/jsen.2020.3028140","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3107776211","name":"Development of a Digital Twin for Aviation Research","source":"openalex","abstract":"The application of digital twins is increasing in several fields. Mirroring the current state of the asset and making predictions of the future state are the main purposes of digital twins. Inside the German Aerospace Center (DLR), an internal project is set up to find methods, technologies and processes for digital twins. Several institutes are contributing to the project, including institutes in the IT domain like the Institute of Software Methods for Product Virtualization or the Institute for Software Technology on one side, and the aviation engineering domain on the other side, e.g. the Institute of Flight Systems, the Institute of Composite Structures and Adaptive Systems and the Institute of Maintenance, Repair and Overhaul. In order to demonstrate the capabilities and identify new development opportunities of digital twins, three different use cases are defined. These use cases include the virtual product house, the virtual engine and the research aircraft. For the research aircraft use case, the digital twin can be seen as a research tool within the organization. The research questions of the project are addressing several information technology related issues like data formats, data sizes, data storage concepts, provenance, and security. Additionally, the project addresses the definitions of the digital twin, the digital thread, and the application layer as well as a common digital twin vision. The next steps in the project are the implementation and demonstration of first prototypes for the individual use cases. This paper gives an overview over the project results and the developments for digital twins. The aim is to digitally map aircraft and their components with all their characteristics and relevant data.","url":"https://doi.org/10.25967/530329","authors":["H.O. Meyer","Jonas Zimdahl","Alexander Kamtsiuris","Robert Meissner","Florian Raddatz","Stefan Haufe","Michael Bäßler"],"tags":["Aerospace","Systems engineering","Computer science","Aviation","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.25967/530329","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4382619788","name":"Geometric parameter updating in digital twin of built assets: A systematic literature review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jobe.2023.106704","authors":["Iryna Osadcha","Andrius Jurelionis","Paris A. Fokaides","Paris Fokaides"],"tags":["Field (mathematics)","Computer science","Photogrammetry","Perspective (graphical)","Object (grammar)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-09","doi":"https://doi.org/10.1016/j.jobe.2023.106704","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4311457589","name":"Collaborative Offloading Method for Digital Twin Empowered Cloud Edge Computing on Internet of Vehicles","source":"openalex","abstract":"Digital twinning and edge computing are attractive solutions to support computing-intensive and service-sensitive Internet of Vehicles applications. Most of the existing Internet of Vehicles service offloading solutions only consider edge-cloud collaboration, but the collaboration between small cell eNodeB (SCeNB) should not be ignored. Service delays far lower than offloading tasks to the cloud can be obtained through reasonable collaborative computing between nodes. The proposed framework realizes and maintains the simulation of collaboration between SCeNB nodes by constructing a digital twin that maintains SCeNB nodes in the central controller, thereby realizing user task offloading positions, sub-channel allocation, and computing resource allocation. Then an algorithm named AUC-AC is proposed, based on the dominant actor-critic network and the auction mechanism. In order to obtain a better command of global information, the convolutional block attention mechanism (CBAM) is used in the digital twin of each SCeNB node to observe its environment and learn strategies. Numerical results show that our experimental scheme is better than several baseline algorithms in terms of service delay.","url":"https://doi.org/10.26599/tst.2022.9010006","authors":["Linjie Gu","Mengmeng Cui","Linkun Xu","Xiaolong Xu"],"tags":["Cloud computing","Computer science","EnodeB","Mobile edge computing","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-13","doi":"https://doi.org/10.26599/tst.2022.9010006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3096157705","name":"Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-020-01698-4","authors":["Zengya Zhao","Sibao Wang","Zehua Wang","Zehua Wang","Shilong Wang","Shilong Wang","Chi Ma","Bo Yang"],"tags":["Machining","Surface roughness","Mechanical engineering","Surface finish","Tilt (camera)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-05","doi":"https://doi.org/10.1007/s10845-020-01698-4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4408391786","name":"Advancing hydrogen safety and reliability through digital twins: Applications, models, and future prospects","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijhydene.2025.02.440","authors":["Hassan Naanani","Mourad Nachtane","Abdessamad Faik"],"tags":["Reliability (semiconductor)","Reliability engineering","Computer science","Engineering","Thermodynamics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-13","doi":"https://doi.org/10.1016/j.ijhydene.2025.02.440","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4309847997","name":"Review of Computational Mechanics, Optimization, and Machine Learning Tools for Digital Twins Applied to Infrastructures","source":"openalex","abstract":"This review discusses the links between the newly introduced concepts of digital twins and more classical finite element modeling, reduced order models, parametric modeling, inverse analysis, machine learning, and parameter identification. The purpose of this article is to demonstrate that development, as almost always is the case, is based on previously developed tools that are currently exploited since the technological tools for their implementation are available and the needs of their usage appear. This fact has rarely been declared clearly in the available literature. The need for digital twins in infrastructures arises due to the extreme loadings applied on energy-related infrastructure and to the higher importance that fatigue effects have. Digital twins promise to provide reliable and affordable models that accompany the structure throughout its whole lifetime, make fatigue and degradation prediction more reliable, and support effective predictive maintenance schemes.","url":"https://doi.org/10.3390/app122311997","authors":["Georgios Ε. Stavroulakis","Barbara Charalambidi","Panagiotis Koutsianitis"],"tags":["Computer science","Identification (biology)","Data science","Biology","Botany"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-24","doi":"https://doi.org/10.3390/app122311997","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4214933629","name":"Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports","source":"openalex","abstract":"The development of digital cancer twins relies on the capture of high-resolution representations of individual cancer patients throughout the course of their treatment. Our research aims to improve the detection of metastatic disease over time from structured radiology reports by exposing prediction models to historical information. We demonstrate that Natural language processing (NLP) can generate better weak labels for semi-supervised classification of computed tomography (CT) reports when it is exposed to consecutive reports through a patient's treatment history. Around 714,454 structured radiology reports from Memorial Sloan Kettering Cancer Center adhering to a standardized departmental structured template were used for model development with a subset of the reports included for validation. To develop the models, a subset of the reports was curated for ground-truth: 7,732 total reports in the lung metastases dataset from 867 individual patients; 2,777 reports in the liver metastases dataset from 315 patients; and 4,107 reports in the adrenal metastases dataset from 404 patients. We use NLP to extract and encode important features from the structured text reports, which are then used to develop, train, and validate models. Three models-a simple convolutional neural network (CNN), a CNN augmented with an attention layer, and a recurrent neural network (RNN)-were developed to classify the type of metastatic disease and validated against the ground truth labels. The models use features from consecutive structured text radiology reports of a patient to predict the presence of metastatic disease in the reports. A single-report model, previously developed to analyze one report instead of multiple past reports, is included and the results from all four models are compared based on accuracy, precision, recall, and F1-score. The best model is used to label all 714,454 reports to generate metastases maps. Our results suggest that NLP models can extract cancer progression patterns from multiple consecutive reports and predict the presence of metastatic disease in multiple organs with higher performance when compared with a single-report-based prediction. It demonstrates a promising automated approach to label large numbers of radiology reports without involving human experts in a time- and cost-effective manner and enables tracking of cancer progression over time.","url":"https://doi.org/10.3389/frai.2022.826402","authors":["Karen Batch","Jianwei Yue","Alex Darcovich","Kaelan Lupton","Corinne C. Liu","D. Woodlock","Mohammad Ali K. El Amine","Pamela Causa-Andrieu","Lior Gazit","Gary H. Nguyen","Farhana Zulkernine","Richard Kinh Gian","Amber L. Simpson"],"tags":["Convolutional neural network","Artificial intelligence","Ground truth","Cancer","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-02","doi":"https://doi.org/10.3389/frai.2022.826402","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4398208634","name":"Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review","source":"openalex","abstract":"As the demand for sustainable energy solutions grows, there is a critical requirement for continuous innovation to optimize the performance and safety of renewable energy systems (RESs). Closed-loop digital twins (CLDTs)—synchronized virtual replicas embedded with real-time data and control loops to mirror the behavior of physical systems—have emerged as a promising tool for achieving this goal. This paper presents a systematic literature review on the application of digital twin (DT) technology in the context of RESs with an emphasis on the impact of DTs on the efficiency, performance, and safety assurance of RESs. It explores the concept of CLDTs, highlighting their key functionalities and potential benefits for various renewable energy technologies. However, their effective implementation requires a structured approach to integrate observation, orientation, decision, and action (OODA) processes. This study presents a novel OODA framework specifically designed for CLDTs to systematically identify and manage their key components. These components include real-time monitoring, decision-making, and actuation. The comparison is carried out against the capabilities of DT utilizing the OODA framework. By analyzing the current literature, this review explores how DT empowers RESs with enhanced efficiency, reduced risks, and improved safety assurance.","url":"https://doi.org/10.3390/en17112456","authors":["Razeen Hashmi","Huai Liu","Ali Yavari"],"tags":["Renewable energy","Systematic review","Risk analysis (engineering)","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-21","doi":"https://doi.org/10.3390/en17112456","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4315782919","name":"Sustainability in the agri-food supply chain: a combined digital twin and simulation approach for farmers","source":"openalex","abstract":"The paper seeks to provide a research and practical study to strengthen the resilience of smallholders to unexpected crises like COVID-19. Farmers are usually not assisted by the current technological capabilities while uncertainty is greater than ever. In comparison, with existing static assessments, digital twins use cases in the agricultural sector are still in conceptual and prototype levels. In this regard, the paper aims to provide a framework with the potentials for sustainability for farmers derived from five pillars and their modelling on a digital twin model with simulation capabilities. The goal is to develop an approach and a tool that would enhance the capabilities of smallholders to face any disruption by supporting them in all their management and control activities. Thus, the model aims to analyze the effects of risks as well as the policies that can prevent them, act to reduce their impacts, or react against any internal or external risks in three levels: farmer´s organization, supply chain, and the related environment based on the Corporate Social Sustainability. The purpose is to increase the resilience of smallholders through the improvement and optimization of the agro-food supply chain and related environment of any smallholder organization considering all related stakeholders. As a result, the final goal of the model is the development of recommendations for enhancing future capabilities to secure viability in the long-term.","url":"https://doi.org/10.1016/j.procs.2022.12.326","authors":["Sergio Gallego-García","Diego Gallego-García","Manuel García-García"],"tags":["Sustainability","Supply chain","Resilience (materials science)","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procs.2022.12.326","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4223456836","name":"Toward an artificial intelligence ‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response","source":"openalex","abstract":"This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of a deep convolutional generative adversarial network (DCGAN), image-processing steps, and finite element (FE) based shape optimization to reconstruct the vertebra model. This DCGAN model is trained using a set of quantitative micro-computed tomography (micro-QCT) images of the trabecular bone obtained from cadaveric samples. The quality of synthetic trabecular models generated using DCGAN are verified by comparing a set of its statistical microstructural descriptors with those of the imaging data. The synthesized trabecular microstructure is then infused into the vertebra cortical shell extracted from the patient's diagnostic CT scans using an FE-based shape optimization approach to achieve a smooth transition between trabecular to cortical regions. The final geometrical model of the vertebra is converted into a high-fidelity FE model to simulate the VF response using a continuum damage model under compression and flexion loading conditions. A feasibility study is presented to demonstrate the applicability of digital twins generated using this AI-assisted framework to predict the risk of VF in a cancer patient with spinal metastasis.","url":"https://doi.org/10.1002/cnm.3601","authors":["Hossein Ahmadian","Prasath Mageswaran","Benjamin A. Walter","Dukagjin Blakaj","Eric C. Bourekas","Ehud Mendel","William S. Marras","Soheil Soghrati"],"tags":["Vertebra","Artificial intelligence","Data set","Cadaveric spasm","Convolutional neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-11","doi":"https://doi.org/10.1002/cnm.3601","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W3109900945","name":"Modeling as the Foundation of Digital Twins","source":"openalex","abstract":"The role of digital twins in the modern world is growing every day. Therefore, modeling issues as the foundation of digital twins are always relevant. The application area of digital twins are discussed in the article, affecting both laboratory equipment for educational institutions and research centers, and the physical product or technical systems in general at all stages of design, manufacture and subsequent operation. An example of a PID controller model is given in the article. The model is implemented in the mathematical package Matlab. The structure and timing diagrams explaining its operation are given. The possibility of implementing controllers of various types based on a multi-zone regulator is shown. The advantages of such a decision are explained. An example of a multi-zone speed stabilization system of a DC motor is also given. The structure of the multi-zone regulator implemented in the Matlab environment is shown, and timing diagrams explaining the work of the model are given. The article may be interesting for students studying electrical engineering or specialists working in the field of automated electric drive.","url":"https://doi.org/10.1109/glosic50886.2020.9267812","authors":["О. Г. Брылина","Nadezhda Kuzmina","K V Osintsev"],"tags":["MATLAB","Computer science","PID controller","Foundation (evidence)","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-17","doi":"https://doi.org/10.1109/glosic50886.2020.9267812","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4412993188","name":"Digital twins in renewable energy systems: A comprehensive review of concepts, applications, and future directions","source":"openalex","abstract":"Digital Twin (DT) technologies are rapidly transforming the design, operation, and lifecycle management of renewable energy systems. This systematic review investigates DT applications across four major renewable energy domains—solar, wind, hydro, and hybrid systems—encompassing all lifecycle phases from initial design and simulation to maintenance and end-of-life (EoL) optimization. Using a PRISMA-guided methodology and keyword-driven thematic classification, the study analyzes over 150 peer-reviewed and industry-sourced publications from 2014 to 2024. A novel taxonomy is introduced to categorize DT applications by energy type and lifecycle phase, offering a structured and comprehensive perspective on current practices and research directions. The review synthesizes enabling technologies within a layered DT architecture, highlighting the roles of Artificial Intelligence (AI), Internet of Things (IoT), cloud/edge computing, and big data in realizing scalable, intelligent, and autonomous systems. Real-world deployments—such as GE's Digital Wind Farm and Huawei's DT-enhanced solar inverters—demonstrate tangible benefits, including up to a 25 % reduction in downtime and 10–20 % improvements in energy yield. Key challenges are critically examined, including model fidelity, data heterogeneity, standardization, and cybersecurity. In response, the study outlines a forward-looking agenda aligned with global sustainability frameworks such as the UN Sustainable Development Goals (SDGs) and the EU Green Deal. By integrating fragmented literature into a coherent, application-driven framework, this work advances academic understanding, supports industrial innovation, and informs policy development for the next generation of intelligent renewable energy systems.","url":"https://doi.org/10.1016/j.esr.2025.101814","authors":["Wulfran Fendzi Mbasso","Ambe Harrison","Idriss Dagal","Pradeep Jangir","Mohammad Khishe","Hossam Kotb","Muhammad Suhail Shaikh","Aseel Smerat","Emmanuel Fendzi-Donfack","Raman Kumar"],"tags":["Renewable energy","Environmental economics","Computer science","Risk analysis (engineering)","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-05","doi":"https://doi.org/10.1016/j.esr.2025.101814","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4226209357","name":"Study on the construction theory of digital twin mechanism model for mechatronics equipment","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-022-09144-w","authors":["Yongli Wei","Tianliang Hu","Pengjun Yue","Weichao Luo","Songhua Ma"],"tags":["Mechatronics","Domain (mathematical analysis)","Engineering","Control engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-04","doi":"https://doi.org/10.1007/s00170-022-09144-w","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4294579457","name":"Holistic digital-twin-based framework to improve tunnel lighting environment: From methodology to application","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.buildenv.2022.109562","authors":["Yi Shen","Jiaxin Ling","Xiaojun Li","Haijiang Li","Shouzhong Feng","Hehua Zhu"],"tags":["Luminance","Engineering","Simulation","Computer simulation","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-05","doi":"https://doi.org/10.1016/j.buildenv.2022.109562","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4251386166","name":"2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)","source":"openalex","abstract":"","url":"https://doi.org/10.1109/dtpi52967.2021","authors":[],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1109/dtpi52967.2021","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4403749687","name":"A Retrieval-Augmented Generation Approach for Data-Driven Energy Infrastructure Digital Twins","source":"openalex","abstract":"Digital-twin platforms are increasingly adopted in energy infrastructure management for smart grids. Novel opportunities arise from emerging artificial intelligence technologies to increase user trust by enhancing predictive and prescriptive analytics capabilities and by improving user interaction paradigms. This paper presents a novel data-driven and knowledge-based energy digital-twin framework and architecture. Data integration and mining based on machine learning are integrated into a knowledge graph annotating asset status data, prediction outcomes, and background domain knowledge in order to support a retrieval-augmented generation approach, which enhances a conversational virtual assistant based on a large language model to provide user decision support in asset management and maintenance. Components of the proposed architecture have been mapped to commercial-off-the-shelf tools to implement a prototype framework, exploited in a case study on the management of a section of the high-voltage energy infrastructure in central Italy.","url":"https://doi.org/10.3390/smartcities7060121","authors":["Saverio Ieva","Davide Loconte","Giuseppe Loseto","Michèle Ruta","Floriano Scioscia","Davide Marche","Marianna Notarnicola"],"tags":["Computer science","Energy (signal processing)","Information retrieval","Statistics","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-24","doi":"https://doi.org/10.3390/smartcities7060121","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W2803238165","name":"Dynamic resource allocation optimization for digital twin-driven smart shopfloor","source":"openalex","abstract":"Smart manufacturing is the core in the 4thindustrial revolution. It is very important that how to realize the intelligent interaction between hardware and software in smart manufacturing. The paper proposes the architecture of Digital Twin-driven Smart ShopFloor (DTSF), as a contribution to the research of the research discussion about Digital Twin concept. Then the scheme for dynamic resource allocation optimization (DRAO) is designed for DTSF, as an application of the proposed architecture. Furthermore, a case study is given to illustrate the detailed method of DRAO. The experimental result shows that the proposed scheme is effective.","url":"https://doi.org/10.1109/icnsc.2018.8361283","authors":["Haijun Zhang","Guohui Zhang","Qiong Yan"],"tags":["Scheme (mathematics)","Resource (disambiguation)","Computer science","Resource allocation","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-03-01","doi":"https://doi.org/10.1109/icnsc.2018.8361283","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4285275685","name":"Interaction of Digital Twins in a Sustainable Battery Cell Production","source":"openalex","abstract":"In this paper, we propose a procedure for identifying suitable fields of action for digital twins, selecting meaningful use-cases to realize the benefits of digital twins, and prototyping their implementation in the context of battery cell production. For this purpose, we present a framework that maps out the various fields of action for realizing the benefits of digital twins in the sustainable factory of the future. In addition, the identification of suitable use-cases in the respective fields of action is described. Using the example of prototypical implementations from battery cell production, it is illustrated how different digital twins interact with each other towards the vision of sustainable production. This focuses on the digital machine, building, and product twin. The aggregation of the twins and their use enables a conservation of resources and an increase in efficiency in the production of the cells and enables the optimization of subsequent value chain steps.","url":"https://doi.org/10.1016/j.procir.2022.05.134","authors":["Alexander D. Kies","Jonathan Krauß","Arno Schmetz","Robert Schmitt","Christian Brecher"],"tags":["Production (economics)","Context (archaeology)","Identification (biology)","Computer science","Action (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.05.134","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4385755612","name":"A dynamic data driven reliability prognosis method for structural digital twin and experimental validation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ress.2023.109543","authors":["Yumei Ye","Qiang Yang","Jingang Zhang","Songhe Meng","Jun Wang"],"tags":["Reliability (semiconductor)","Structural health monitoring","Reliability engineering","Vibration","Bayesian inference"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.1016/j.ress.2023.109543","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4382934379","name":"Building digital twins of cities using the Inter Model Broker framework","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.future.2023.06.024","authors":["Walter Lohman","Hans Cornelissen","Jeroen Borst","Ralph Klerkx","Yashar Araghi","Erwin Walraven"],"tags":["Computer science","Scalability","Key (lock)","Process (computing)","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-03","doi":"https://doi.org/10.1016/j.future.2023.06.024","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4293581025","name":"Social Cyber-Physical Systems and Digital Twins Networks: A perspective about the future digital twin ecosystems","source":"openalex","abstract":"The Digital Twin, being a new transversal technology, has spread very quickly in several fields (industry, transportation, building, healthcare, etc.) and often in an anarchic way. As a result, several attempts to standardize and propose generic models for the Digital Twin (DT) have been made, in order to counterbalance the large heterogeneity that characterized the development of this technology as a consequence of a certain hype around this theme. This paper presents work that is part of our endeavors to develop a generic deployment methodology for DT, focusing on its interactional and systemic aspects. The deployment methodology is based on the 5C decomposition of Cyber-Physical Systems (CPS), where the first level \"Configuration\" implies the setting up of a generic architecture, hence the DT typology presented in this paper. Based on this, we presented a new vision of the 5D model of the DT, and then highlighted the interaction and evolution mechanisms that can characterize this latter during its life cycle. Finally, we discussed the concept of a hierarchical network of interconnected and evolving DTs. This will pave the way to further research that will address more specific architectures and technology dependent, dealing with the last level of the 5C pyramid.","url":"https://doi.org/10.1016/j.ifacol.2022.08.006","authors":["Mohammed Adel Hamzaoui","Nathalie Julien"],"tags":["Software deployment","Computer science","Perspective (graphical)","Theme (computing)","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.08.006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4401015171","name":"Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect","source":"openalex","abstract":"Information and automation technologies play a pivotal role in achieving cyber-physical integration within Construction 4.0. In this transformed landscape, the evolution of the construction management paradigm carefully considers the enhancement of business models and organizational structures to prioritize stakeholders’ well-being, environmental sustainability, and heightened resilience. A significant challenge lies in effectively managing and coordinating a myriad of multi-source and heterogeneous entities using information and automation technologies. The key obstacle is synchronizing these elements based on cyber-physical interoperation to optimize multiple objectives seamlessly. Hence synchronization emerges as a crucial factor for orchestrating and sustaining harmonious relationships among multiple entities or activities within a delimited spatial-temporal framework. This ensures seamless and aligned coordination throughout dynamic processes. Therefore, this paper presents a strategic roadmap for the synchronized construction management, derived from a thorough analysis of fundamental elements in Construction 4.0, aimed at advancing the current construction management practices. Moreover, to articulate this synchronization approach systematically, an Orthogonally Synchronized Digital Twin (SDT) model with regular expression is formulated, built upon the proposed roadmap for reshaped construction management. This study provides valuable insights for stakeholders in the construction industry, including architects, engineers, project managers, and policymakers. The findings guide decision-making on digital twin adoption in construction, supporting practitioners to enhance efficiency and improve outcomes, offering a roadmap for industry advancement towards human-centrality, sustainability, and resilience. Future research should focus on validating the proposed roadmap and SDT model in real-world scenarios, exploring synergies between AI and digital twins, and investigating advanced technologies for holistic smart cities management.","url":"https://doi.org/10.1016/j.dibe.2024.100512","authors":["Yishuo Jiang","Shuaiming Su","Shuxuan Zhao","Ray Y. Zhong","Waishan Qiu","Mirosław J. Skibniewski","Ioannis Brilakis","George Q. Huang"],"tags":["Building information modeling","Process management","Interoperation","Knowledge management","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-26","doi":"https://doi.org/10.1016/j.dibe.2024.100512","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4408588037","name":"Digital twin integration for dynamic quality loss control in fruit supply chains","source":"openalex","abstract":"Effective cold chain management is imperative for minimizing food loss and maintaining quality in perishable logistics. This study integrates digital twin (DT) and artificial intelligence (AI) technologies to establish a “five-dimensional model” for cold supply chains, featuring a two-step approach that improve temperature prediction accuracy for shelf-life estimation. In the first step, a long short-term memory (LSTM) based model—trained solely on experimentally verified temperature data—accurately forecasts in-box conditions. Subsequently, a literature-based kinetic model applies well-established parameters to estimate remaining shelf life. By placing a single sensor at the pallet level and applying our box-level digital twin model, we achieved a temperature prediction error below ±0.3 °C (2σ), which translated into a shelf-life estimation error of under ±1.2 days for highly perishable fruits such as strawberries and lychees. Simulations also reveal the integrated DT–AI system reduces food loss by 8.6 %, 12.1 %, 13.6 %, and 15.5 % for strawberries, lychees, oranges, and apples, respectively, surpassing simpler ambient-based methods in both accuracy and food safety—particularly for highly perishable produce. Although hierarchical scaling of DTs (box, pallet, container) indicates increasing deviations at larger units, this trade-off between model precision and resource efficiency renders the solution practical across diverse cold-supply scenarios. Future work may incorporate end-point quality assessments and advanced management modules to further enhance reliability, reduce waste, and foster sustainability in global food logistics. • Integrates digital twin (DT) and artificial intelligence (AI) technologies for fruit supply chains. • An LSTM (Long Short-Term Memory) model exclusively on experimentally verified temperature data. • A single pallet-level sensor yields < ±0.3 °C error, translating to < ±1.2 days shelf-life deviation for highly perishable fruits. • Cuts food loss by 8.6–15.5 % for strawberries, lychees, oranges, and apples. • Box-level twins achieve the highest precision, balancing accuracy and efficiency.","url":"https://doi.org/10.1016/j.jfoodeng.2025.112577","authors":["Yifeng Zou","Junzhang Wu","Xiangchao Meng","Xinfang Wang","Alessandro Manzardo"],"tags":["Quality (philosophy)","Control (management)","Supply chain","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-19","doi":"https://doi.org/10.1016/j.jfoodeng.2025.112577","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"oa:W4385459411","name":"Correspondence measure: a review for the digital twin standardization","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-023-12019-3","authors":["Tarique Hasan Khan","Chiho Noh","Soonhung Han"],"tags":["Standardization","Measure (data warehouse)","Interoperability","Fidelity","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-01","doi":"https://doi.org/10.1007/s00170-023-12019-3","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/access.2021.3108218","name":"Digital Twin Bionics: A Biological Evolution-Based Digital Twin Approach for Rapid Product Development","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2021.3108218","authors":["Linli Li","Fu Gu","Hao Li","Jianfeng Guo","Xinjian Gu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-26T20:26:26Z","doi":"10.1109/access.2021.3108218","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/j.rcim.2020.102075","name":"The connotation of digital twin, and the construction and application method of shop-floor digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2020.102075","authors":["Cunbo Zhuang","Tian Miao","Jianhua Liu","Hui Xiong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-02T00:21:05Z","doi":"10.1016/j.rcim.2020.102075","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5967762","name":"From Prediction to Protection: A Network Digital Twin framework for Traffic Monitoring and Anomaly Detection","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5967762","authors":["John Sengendo","Fabrizio Granelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-25T18:37:59Z","doi":"10.2139/ssrn.5967762","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1080/27525783.2023.12519330","name":"A digital twin model of urban utility tunnels and its application\n         \t\t\t[version 1; peer review: 2 approved]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519330","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T11:07:41Z","doi":"10.1080/27525783.2023.12519330","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.4018/979-8-3373-7785-8","name":"Digital Twin Approaches in Autonomous Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.4018/979-8-3373-7785-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T15:49:29Z","doi":"10.4018/979-8-3373-7785-8","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.7551/mitpress/12266.003.0004","name":"The Twin Towers: The Remanence of the Twins","source":"crossref","abstract":"","url":"https://doi.org/10.7551/mitpress/12266.003.0004","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-14T20:15:53Z","doi":"10.7551/mitpress/12266.003.0004","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5194/ems2025-512","name":"Digital Twin Earth Hydrology – Precipitation: Harnessing the Strengths of Individual Products","source":"crossref","abstract":"In recent years, initiatives such as the European Union’s Green Deal and Data Strategy have promoted the creation of Digital Twins of the Earth (DTE). These virtual representations aim to integrate state-of-the-art advancements in Earth Observation (EO), modeling, artificial intelligence, and computational power. Their purpose is to enable the visualization, analysis, and prediction of both natural systems and human-related activities, ultimately supporting sustainability efforts and addressing the challenges of climate change. Within this framework, the European Space Agency (ESA) launched the DTE Hydrology project, with a specific emphasis on the water cycle, hydrological dynamics, and their practical uses.As part of this project, high-resolution (1 km, daily) datasets for critical water cycle variables are generated to replicate hydrological behavior and understand its interactions with human systems. Among these, precipitation plays a central role due to its influence on agriculture, water resource planning, economic stability, and disaster risk reduction. However, ground-based observation networks are diminishing worldwide, and many regions lack sufficient station density for reliable monitoring. Satellite-derived precipitation estimates are therefore essential to fill both spatial and temporal data gaps in these areas.To overcome the limitations of individual datasets, the DTE-Hydrology initiative synthesizes precipitation data from multiple EO satellite platforms and methods, combining them with reanalysis data to create a unified, enhanced product. Specifically, precipitation estimates from IMERG-Late Run, SM2RAIN ASCAT (H SAF), and ERA5 Land are downscaled at 1 km spatial resolution and subsequently merged. The downscaling process utilizes detailed spatial information from the CHELSA (Climatologies at High resolution for the Earth’s Land Surface Areas) dataset, while merging weights are calculated using the Triple Collocation method.The final merged product was thoroughly validated and compared against a range of datasets—both coarse-resolution sources such as H SAF, IMERG-LR, ERA5, EOBS, PERSIANN, CHIRP, GSMAP, and fine-resolution datasets like EMO, INCA, SAIH, COMEPHORE, and MCM—demonstrating its strong reliability and performance.","url":"https://doi.org/10.5194/ems2025-512","authors":["Paolo Filippucci","Luca Ciabatta","Christian Massari","Luca Brocca"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-30T10:05:34Z","doi":"10.5194/ems2025-512","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.65649/jcmcst43","name":"Review of the CDATA Digital Twin (v0.1.0)","source":"crossref","abstract":"The Centriolar Damage Accumulation Theory of Aging (CDATA) proposes that the progressive loss of centriolar inducer molecules — driven by reactive oxygen species (ROS) and post-translational modification (PTM) accumulation — constitutes a primary, causally upstream mechanism of organismal aging. To formalize and test this theory, we developed a computational digital twin implemented as a multi-module Entity Component System (ECS) simulation in Rust. The platform integrates eight biological subsystems: centriolar PTM dynamics, cell cycle progression, mitochondrial dysfunction, hematopoietic lineage bias, stem cell hierarchy, asymmetric division, transcriptome-level gene regulation, and full-lifespan human developmental staging across 15 discrete stages from Zygote to Elderly. Five aging tracks (A–E) are explicitly modeled, with inter-track feedback loops connecting mitochondrial ROS production, epigenetic clock acceleration, telomere shortening, spindle fidelity loss, and ciliary dysfunction. The digital twin correctly reproduces the empirical mortality window (~78 years under default calibration), accelerated aging in progeria variants (×5 damage rates), and decelerated aging in longevity variants (×0.6 rates). We describe the architecture and mathematical formulations of each module in detail, and subject the platform to systematic critique: identifying assumptions that are biologically justified, parameters that are poorly constrained, feedback loops that may be structurally incomplete, and components whose absence limits predictive validity. We argue that the digital twin constitutes a valuable theoretical instrument but currently lacks the experimental parameterization, stochastic cell-population dynamics, and spatial niche geometry required to serve as a fully predictive model of human aging.","url":"https://doi.org/10.65649/jcmcst43","authors":["Veronika Nadareidze","Alexander Taktakidze"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-05T12:16:35Z","doi":"10.65649/jcmcst43","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.4043/30225-ms","name":"Application of Structural Health Monitoring for Structural Digital Twin","source":"crossref","abstract":"Abstract The load-carrying capability of marine steel structures often suffers degradation and at times structural failure during their service life due to the corrosive sea environment and the extreme wave loads which they experience. Structural integrity is a high priority during asset design and operation to preserve human safety, environment protection, and to maintain operations. Structural Health Monitoring (SHM), a process of deriving the health status and predicting structural damage via sensor-based measurements, data trending and analysis, has been commonly implemented in marine and offshore assets for decades. There are mature commercial SHM products on the market and available international and industrial regulations, guidance and classification rules (such as IMO MSC/Circ. 646, ABS Guide for Hull Condition Monitoring Systems, etc.). With the emergence of the Structural Digital Twin (SDT) concept in the marine industry in the recent years, the application of structural sensors on marine structures and the integration between sensor-based SHM techniques and structural digital twin approaches have attracted more attention. As a digital representation of the physical asset, the structural digital twin typically involves multiple-scale, multiple-physics, and data driven models and simulations. Leveraging the high fidelity full-scale SHM data, the structural digital twin is capable to provide more accurate assessments, predictions, and insights on structural integrity conditions and support the decision-making process regarding asset operation, structural inspection, repairs, and condition-based asset integrity management. This paper reviews the mature and commonly employed SHM sensor techniques (such as electric resistance strain gauge, fiber Bragg grating (FBG) strain gauge, accelerometer, pressure transducer, etc.) and discusses their implementation on marine assets and integration with structural digital twin. The paper elaborates to provide some general guidance on the selection of the structural sensors and their installation, as well as the proper sensor specification, in the context of a structural digital twin implementation. The paper also discusses the required engineering mindsets and skillsets for developing and deploying sensor plans, and for implementing a sensor-based structural digital twin framework. The paper concludes that a successful SHM plan and structural digital twin implementation rely on sensor planning, data acquisition, data processing, analytic models and a proper integration of the data and data analytics. The overall planning and implementation should be governed by the suitability for the business purpose and implementation expectation.","url":"https://doi.org/10.4043/30225-ms","authors":["Xiang Liu","Haitao Liu","Christopher Serratella"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-01T17:13:31Z","doi":"10.4043/30225-ms","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2118/216714-ms","name":"Transformation of Operations Through Digital Twin Application","source":"crossref","abstract":"Abstract The world is now witnessing a fourth industrial revolution with the rise of artificial intelligence and Digital Twin technology. The Oil and Gas industry, a pillar of global energy supply, has always been driven by cutting-edge technologies and innovative solutions to meet the ever-increasing global demand. In the quest for operational excellence and heightened productivity, O&amp;G companies are now turning their attention to a revolutionary concept - Digital Twins. Emerging as a significant component of industry 4.0, Digital Twin technology offers a powerful and transformative approach that holds immense potential for large scale organizations. The Oil and Gas Industry is one of many industries that are currently adopting this new technology to improve their safety, operational efficiency, production and decision-making measures. When considering the fact that concepts such as data acquisition and modeling, visualization, simulation, real time monitoring and predictive control are not new to the Oil &amp; Gas industry, leveraging digital twin technology seems like the natural step forward.","url":"https://doi.org/10.2118/216714-ms","authors":["Ahmed Almessabi","Khaled Al-saedi","Muhammad U Ddin","Mohammed Al Naqbi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-01T20:39:01Z","doi":"10.2118/216714-ms","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-3-030-02203-7_7","name":"Data Monitoring and Management for Machine Tools","source":"crossref","abstract":"Abstract Data monitoring is a key feature in current manufacturing industry. It provides the chance to know how the machine tool and the machining process are performing and opens further opportunities to improve process performance at various levels (maintenance, process control and even feedback to design). Twin-Control proposes a monitoring and data management architecture for machine tools. It consists of a modular local monitoring equipment that is flexible to cover most of the machine tool configurations. Monitored data at local level is uploaded to a cloud platform to perform fleet-level analysis. The proposed architecture has been working for almost two years, providing an excellent source of real data used as a basis for the rest of developments of Twin-Control.","url":"https://doi.org/10.1007/978-3-030-02203-7_7","authors":["Tobias Fuertjes","Christophe Mozzati","Flavien Peysson","Aitor Alzaga","Mikel Armendia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_7","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.54904/52952_2022_1_15","name":"Digital twin for the occupational safety and health. Principles","source":"crossref","abstract":"","url":"https://doi.org/10.54904/52952_2022_1_15","authors":["G. V. Fedorovitch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-13T09:28:25Z","doi":"10.54904/52952_2022_1_15","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.21203/rs.3.rs-2019546/v1","name":"DTUMOS, Digital Twin for Large-scale Urban Mobility Operating System","source":"crossref","abstract":"Abstract The rapid development of digital twin technology has significantly changed the way virtual cities are used in smart cities and the transportation. In particular, digital twins provide a playground where various mobility systems, algorithms, and policies can be developed and tested. In this study, DTUMOS, a digital twin framework for urban mobility operating systems, is proposed. We construct open-source framework that can easily and flexibly apply to any city and mobility system worldwide. A novel architecture that combines an AI-based estimated time of arrival model and vehicle router algorithm enables DTUMOS to achieve high-speed performance while maintaining accuracy when implementing large-scale mobility systems. The proposed DTUMOS has distinct strengths in scalability, speed, and visualization compared to the existing state-of-the-art mobility digital twins. The performance and scalability are verified by using actual data in large metropolitan cities, such as Seoul, New York City, and Chicago. A lightweight and open-source environment of DTUMOS opens a new era for developing various simulation-based algorithms and quantitatively evaluating the effectiveness of policies for future mobility systems.","url":"https://doi.org/10.21203/rs.3.rs-2019546/v1","authors":["Hyeokju Yeon","Taebum Eom","Kitae Jang","Jiho Yeo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-06T22:57:43Z","doi":"10.21203/rs.3.rs-2019546/v1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1201/9781003655190","name":"Artificial Intelligence and Digital Twin-Based Big Data Analytics for Blockchain-IoT Enabled Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003655190","authors":["Amit Kumar Tyagi","Shabnam Kumari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T10:56:20Z","doi":"10.1201/9781003655190","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.5220/0013705600003982","name":"Fault Diagnosis of Industrial Robots Using a Digital Twin and GRU-Based Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013705600003982","authors":["Ilhem Ben Hnaien","Eric Gascard","Zineb Simeu-Abazi","Hedi Dhouibi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-24T23:40:21Z","doi":"10.5220/0013705600003982","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.64917/ircee.v13.i04.a01","name":"Designing Smart Cyber-Physical Architectures Through Digital Twin Integration, Sensor Analytics, and AI-Driven Industrial Optimization","source":"crossref","abstract":"The convergence of cyber-physical systems (CPS), digital twin technologies, sensor analytics, and artificial intelligence has transformed the operational architecture of modern industrial environments. Industry 4.0 ecosystems increasingly rely on intelligent infrastructures capable of real-time monitoring, predictive analysis, adaptive optimization, and autonomous decision-making. This research investigates the design of smart cyber-physical architectures through the integration of digital twins, sensor-driven analytics, and AI-enabled industrial optimization models. The study develops a conceptual research framework that connects data acquisition layers, simulation models, machine intelligence, and operational optimization mechanisms into a unified industrial architecture. The paper critically examines the technical relationship between digital twins and CPS environments while evaluating the role of sensor fusion, cloud-based fault tolerance, and intelligent testing frameworks in enhancing industrial resilience and efficiency. A detailed literature synthesis based exclusively on selected scholarly studies identifies major research gaps associated with interoperability, predictive reliability, cybersecurity, and scalability. The methodology section proposes a multi-layered architecture that integrates real-time sensing systems, AI analytics engines, and digital twin synchronization mechanisms for industrial optimization. Findings indicate that the integration of intelligent analytics with digital twin ecosystems significantly improves predictive maintenance, operational continuity, resource utilization, and system adaptability. The study also demonstrates that AI-driven CPS infrastructures can support sustainable smart city development, healthcare simulation systems, and automated industrial environments when supported by robust testing and cloud fault tolerance mechanisms. The research contributes to the theoretical and practical advancement of next-generation smart industrial architectures by presenting a scalable and adaptive framework aligned with Industry 4.0 transformation objectives.","url":"https://doi.org/10.64917/ircee.v13.i04.a01","authors":["Dr. Ahmed Raza","Dr. Sana Khalid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T13:22:35Z","doi":"10.64917/ircee.v13.i04.a01","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.3390/ijgi13120460","name":"Building an Indoor Digital Twin—A Use-Case for a Hospital Digital Twin to Analyze COVID-19 Transmission","source":"crossref","abstract":"As indoor space becomes more important in our daily life, the demand to build digital twins for indoor spaces is increasing accordingly. The properties of indoor spaces, however, differ from those of outdoor spaces, and we need to apply different approaches to build indoor digital twins. In our work, we propose a framework for building an indoor digital twin with a use case for hospitals in general and large hospitals in particular, which may be considered as one of the most complicated types of digital twin. One of our goals is to establish a framework for building indoor digital twins based on standards and our framework starts from OGC IndoorGML, which is a standard for indoor data models and encoding schemes for indoor spatial data. In this paper, each step of the framework is presented for the construction of an indoor hospital digital twin focusing on a use case of epidemic analysis of COVID-19 transmission in a hospital. The use case study covers the entire life cycle of the indoor spatial application from requirement analysis, data modeling, and building indoor spatial data to the development of a COVID-19 transmission analysis. Our work represents a use case for indoor digital twins based on the OGC IndoorGML standard and eventually may serve as a framework and reference for building indoor digital twins. As our work is mainly focused on the construction of hospital digital twins, the study on COVID-19 infection model itself is limited in this paper. Improvement of the infection models and validations will be the next step of our work. As HVAC (heat, ventilation, and air conditioning) was not fully considered in our use case, we also expect that it is possible to strengthen our use case by including HVAC for the analysis of airflow dynamics.","url":"https://doi.org/10.3390/ijgi13120460","authors":["Youngin Lee","Min Hyeok Choi","Yong-Soo Song","Jun-Gi Lee","Jin Young Park","Ki-Joune Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-19T06:50:44Z","doi":"10.3390/ijgi13120460","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-3-030-87383-7_38","name":"Digital Twin of a Servo Driver of a Servo Motor as a First Step Towards a Digital Twin of a Robot Mechanism","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-87383-7_38","authors":["Sefa Furkan Küçükoğlu","Giuseppe Carbone","Mehmet İsmet Can Dede"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-13T21:56:18Z","doi":"10.1007/978-3-030-87383-7_38","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5220/0014605500004852","name":"Investigating the Implementation of Manufacturing Execution System (MES) and Digital Twin for Improving Overall Operating Efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014605500004852","authors":["Nivrutti Wadode","Shantilal Patel","Rajesh Butkar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-30T18:25:55Z","doi":"10.5220/0014605500004852","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.6924740","name":"Leontief Meets the Organization: A Discretized Digital Twin for Workflow Stability and AI Prioritization","source":"crossref","abstract":"This paper introduces a Discretized Digital Twin framework for organizational stability, bridging Leontief's Input-Output analysis with Social Network Analysis (SNA) and Queuing Theory. We propose the spectral radius λ 1 of the corporate technical matrix as a tractable structural proxy for workflow stability. By applying perturbation theory, we provide a principled method for AI investment prioritization. The framework is validated through a case study in a professional dubbing studio.","url":"https://doi.org/10.2139/ssrn.6924740","authors":["Dario Giovanni Bonucci","Leonardo Andreoli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T05:34:31Z","doi":"10.2139/ssrn.6924740","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.37962/ibras_2026_10-12","name":"A Digital Twin-Enabled Lightweight Blockchain System for Telemedicine Application","source":"crossref","abstract":"","url":"https://doi.org/10.37962/ibras_2026_10-12","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T11:33:57Z","doi":"10.37962/ibras_2026_10-12","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2307/j.ctv2xqngmf.18","name":"Glossary","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.18","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.18","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1049/dgt2.70014","name":"From Smart Cities to Manufacturing: A Comprehensive Study on Digital Twin Applications and Barrier","source":"crossref","abstract":"ABSTRACT Many sectors are seeing digital twin (DT) as a revolutionary invention, with smart cities, manufacturing, healthcare and transportation being among the most affected. An object or process’s DT allows for its simulation via real‐time data collection and analysis, thereby making it an exact replica of the original. Based on this capability, data‐driven decision‐making, system monitoring, product validation and lifecycle management may be realised. DTs, particularly in the manufacturing industry where they improve operational efficiency via predictive maintenance and greater flexibility, have been much more used since Industry 4.0 emerged. DTs find use in aeronautical structural health monitoring and maintenance prediction. Although in smart cities they help urban planning and administration, in healthcare, they provide individualised treatment and patient monitoring. In the energy industry as well DTs are used in turbines to maximise performance and minimise downtime. Though the technique has many advantages, numerous obstacles prevent its general use. Complications in model creation, data integration problems, high deployment costs connected with large sensor networks and computer resources and scalability constraints include among these difficulties. Moreover, the lack of compatibility and consistent standards inhibits more general acceptance. This systematic literature evaluation evaluates enabling technologies and highlights continuous issues that need to be resolved for effective deployment by classifying current research on DT applications across many important industries.","url":"https://doi.org/10.1049/dgt2.70014","authors":["Bhargav Prajwal Pathri","Krishna Vamshi Ganduri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-22T03:56:42Z","doi":"10.1049/dgt2.70014","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.23977/acss.2025.090215","name":"Application of Digital Twin Technology in Smart Grids","source":"crossref","abstract":"","url":"https://doi.org/10.23977/acss.2025.090215","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-14T02:29:58Z","doi":"10.23977/acss.2025.090215","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.70675/c4c01fc4z8950z4535zb406z959e5f16d6a9","name":"Modeling and Estimation of Pulmonary Poromechanics : towards a Robust High-Fidelity Digital Twin Approach for Idiopathic Pulmonary Fibrosis","source":"crossref","abstract":"Modélisation et Estimation de la Poromécanique Pulmonaire : vers une Approche Jumeaux Numériques Robuste et Haute Fidélité pour la Fibrose Pulmonaire Idiopathique La Fibrose Pulmonaire Idiopathique (FPI) est une maladie au pronostic extrêmement sévère, qui affecte directement le parenchyme pulmonaire, et dont les mécanismes d’apparition et d’évolution restent encore mal compris. L’objectif de ce travail de thèse est d’approfondir la compréhension de la FPI en couplant modélisation biomécanique et traitement d’images biomédicales.Tout d'abord, une revue de la littérature relative à la FPI ainsi qu’aux modèles pulmonaires actuels a été effectuée. Un accent particulier est mis sur l’analyse des mécanismes qui pourraient expliquer l’évolution de cette pathologie. En particulier, l’hypothèse d’un lien étroit entre la mécanique, et notamment les concentrations de contraintes, et la progression de la fibrose a été formulée dans la littérature.Le premier axe de ce travail se concentre sur l’amélioration du modèle poromécanique pulmonaire développé dans l’équipe M3DISIM, en y intégrant la gravité et en supprimant le contact avec la cage thoracique. Inclure la gravité dans le modèle permet en effet de reproduire des hétérogénéités physiologiques de contraintes et de déformations lors de la respiration, absentes dans le modèle sans gravité, et permet également la prise en compte de l'orientation (e.g., pronation ou supination) du patient. Le contact avec la cage thoracique, instable et coûteux numériquement, a été remplacé par un champs de pression pleural contraint à vérifier l’équilibre global, modélisant l’ensemble des forces appliquées sur l’extérieur du poumon.De plus, l’identification des paramètres d’un modèle est une étape cruciale pour sa personnalisation. Néanmoins, de nombreuses méthodes existent, chacune présentant ses propres avantages et inconvénients en termes de robustesse et de coût. Cette étude propose donc une méthode de quantification de la robustesse face au bruit et aux erreurs de modèle pour diverses méthodes d’identification. En particulier, une nouvelle formulation de la Méthode d’Écart à l’Équilibre (EGM) en grandes transformations est proposée. Il est démontré que l’EGM, qui est une méthode directe et donc naturellement assez instable, quand couplée à une régularisation par écart à l’équilibre du problème de suivi de mouvement, permet une estimation robuste des paramètres.Le troisième axe de cette étude porte sur la quantification des incertitudes sur l’identification des paramètres du modèle poromécanique pulmonaire à partir d’images cliniques. L’identifiabilité des paramètres, ainsi que leur robustesse aux erreurs de modèle et de mesure, sont analysées afin de déterminer la meilleure paramétrisation du problème d’identification. L’influence du jeu de données utilisé en entrée sur la qualité de l’estimation est également évaluée.Enfin, le dernier axe se concentre sur l’application de l’approche de jumeaux numériques à des jeux de données longitudinales de dix patients atteints de FPI. Pour chaque patient, deux images, l’une en fin d’expiration et l’autre en fin d’inspiration, sont fournies à trois instants d’évolution de la maladie. L’identification de biomarqueurs susceptibles de contribuer à l’explication de l’évolution de la maladie est explorée, notamment en étudiant la corrélation entre certaines quantités d'intérêt et la progression de la fibrose.Ce travail constitue une avancée, en termes de modélisation et personnalisation, du jumeau numérique de poumon développé par l’équipe M3DISIM. Il améliore la physiologie du modèle, sa fiabilité numérique, et quantifie les incertitudes liées aux bruits de mesure et aux erreurs de modèle sur les biomarqueurs calculés. Ces avancées ouvrent la voie à des applications cliniques prometteuses et fournissent des premiers résultats permettant de mieux comprendre l’évolution de la Fibrose Pulmonaire.","url":"https://doi.org/10.70675/c4c01fc4z8950z4535zb406z959e5f16d6a9","authors":["Alice Peyraut"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T01:32:37Z","doi":"10.70675/c4c01fc4z8950z4535zb406z959e5f16d6a9","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-981-97-8483-7","name":"Digital Twin Computing for Urban Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-8483-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T21:32:21Z","doi":"10.1007/978-981-97-8483-7","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5748023","name":"Multi-Hospital Collaborative Operating Room Scheduling Using Digital Twin and Multi-Objective Optimization under Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5748023","authors":["Hongrui Zhu","Haoyan Gong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-18T14:56:37Z","doi":"10.2139/ssrn.5748023","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.7347050","name":"A Digital Twin Framework for Hourly Carbon Accounting: Adaptive Mobile Monitoring Routing and Optimal Stopping","source":"crossref","abstract":"Carbon accounting of an industrial point source still cannot deliver unannounced, hourly verification: the emission-factor method is retrospective and biased, in-fence monitoring needs firm cooperation, and off-site unmanned aerial vehicle (UAV) flights use fixed routes that are wind-fragile and waste energy. We introduce a digital-twin adaptive unmanned aerial vehicle inspection that, after each hover sample, plans the next waypoint by information gain per flight energy and stops once a prescribed tolerance is met, turning one battery cycle into a reproducible, off-site, hourly measurement. Efficient onboard replanning keeps planning millisecond-fast and guarantees the campaign closes in a single sortie. Across twelve cement-clinker campaigns the method reproduces the true hourly emission rate with 3.0 per cent mean absolute error and 8.0 per cent relative standard deviation while using 9.5 waypoints and 250 Wh, 46 to 64 per cent less energy than fixed routes at equal or better accuracy. The default emission-factor benchmark overestimates the mean by 6.1 per cent and misses the intra-day profile by up to 14.5 per cent. The approach gives regulators and operators a low-cost, unannounced monitoring, reporting and verification (MRV) capability that corrects factor-method bias, properly rewards genuine emission reductions, and strengthens the credibility of carbon markets, border-adjustment mechanisms and corporate net-zero claims.","url":"https://doi.org/10.2139/ssrn.7347050","authors":["Yue Liu","Yao Ruixuan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-24T23:38:35Z","doi":"10.2139/ssrn.7347050","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.65391/r1733","name":"Co-evolving development, implementation and Operational SMS using a Digital Twin","source":"crossref","abstract":"Digital Twins (DT) are abstract, data-dependent and data-driven models. They are used to model the state of a physical component or system. This facilitates failure warnings and allows continuous improvement activities to be undertaken. As a result, DTs can be used as part of operational safety management. However, DTs also provide a tantalising opportunity to model whole systems before implementation, establishing a baseline model from which to identify safety and safety management issues relating to system realisation and operational safety management. They facilitate comparison between this model and reality as system realisation progresses. This study considers the use of DT in this role. Can the use of DTs mitigate issues that often delay the introduction to service? Can they be used early in the lifecycle to propose and check the credibility of ‘approval-in-principle’ documentation to ensure issues are discovered early rather than late in the project lifecycle? Benefits range from the application of change controls, impact assessment and the identification of interfaces and dependencies. This work sets out an approach to Systems and Safety Engineering using ‘Engineered DTs’ as part of safety assurance of current and future phases of a safety-critical project.","url":"https://doi.org/10.65391/r1733","authors":["Alastair Faulkner","Mark Nicholson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-25T14:20:57Z","doi":"10.65391/r1733","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5556629","name":"Transforming Bridge Lifecycle Management through Digital Twin Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5556629","authors":["Chongjie Kang","Maria Walker","Jan-Hauke Bartels","Gero Marzahn","Steffen Marx"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-02T12:41:32Z","doi":"10.2139/ssrn.5556629","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/icsj66986.2025.11302551","name":"Message from the General Chair: “ Advanced Electronics Packaging Technology for Digital Twin”","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsj66986.2025.11302551","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-23T18:29:57Z","doi":"10.1109/icsj66986.2025.11302551","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5683664","name":"Machine Learning-Driven Digital Twin and Optimization of Sustainable Natural Gas Transmission ​","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5683664","authors":["Seyed Morteza Rafiee Rad","Parviz mohammad Zadeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-30T22:36:59Z","doi":"10.2139/ssrn.5683664","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/tmc.2026.3669413/mm1","name":"Digital Twin–Enabled Mobility-Aware Cooperative Caching in Vehicular Edge Computing_supp1-3669413.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2026.3669413/mm1","authors":["Zhenkui SHI"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T19:55:43Z","doi":"10.1109/tmc.2026.3669413/mm1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/aero63441.2025.11068763","name":"Digital Twin for the MMX Rover Locomotion Subsystem","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero63441.2025.11068763","authors":["Fabian Buse","Antoine Pignède","Marie Kretschmer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-14T17:40:12Z","doi":"10.1109/aero63441.2025.11068763","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.32388/opa5i4","name":"Review of: \"Next-Generation Space Cardiology: Developing a COMSOL-Enabled Digital Heart Twin for Long-Duration Missions\"","source":"crossref","abstract":"","url":"https://doi.org/10.32388/opa5i4","authors":["Sergio M. Navarro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-14T16:41:11Z","doi":"10.32388/opa5i4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5740182","name":"Mapping Digital Twin Adoption and Sustainability in Maritime Systems: A Bibliometric and Systematic Review","source":"crossref","abstract":"The digital twin (DT) paradigm has revolutionised access to maritime and marine environments and their applications for sustainability. However, deploying a digital twin for offshore operations in extreme environments is challenging and requires the involvement of different stakeholders. This paper presents a bibliometric and systematic review of the recent growth in DT applications in the maritime domain and studies how effectively DT is aligned with the Sustainable Development Goals (SDGs). In this paper, we analyse DT based on central subject areas, thematic trends, and domain contributions. We propose a HELM DT framework for the sustainable maritime industry that captures the environmental, technological, and organizational contexts that interplay with DT. Additionally, we present open research challenges, future directions, and lessons learnt for future investigation by engineers, researchers, and policymakers.","url":"https://doi.org/10.2139/ssrn.5740182","authors":["Dhanesh Raj","Bhuvana Nair S"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-13T19:17:02Z","doi":"10.2139/ssrn.5740182","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.4003286","name":"Understanding the Evolution of Digital Twin and its Impact a Topic Modeling Approach","source":"crossref","abstract":"The interest of the academic and practitioner communities on the topic of digital twin has grown substantially in recent years. Bibliometric analysis serves as a useful tool to explore the roadmap of the digital twin technology across various emergent themes over time. In this paper, we compare and analyze 1270 news articles and 4036 research publications to assess the evolution of the digital twin technology from these sources from 2016-2021. We use topic modelling and sentiment analysis on the textual corpora gathered from these sources and compare specific topics related to applications, simulation, and enabling technologies for digital twins that find greater coverage and generate higher positivity over time. We ascertain the coevolution and divergence in the number and sentiment of topics covered by these sources through curve matching metrics and determine whether they can rouse consumer interest, captured through online search trends. Our regression analysis shows that news on applications of digital twin and research on process evaluation through real time simulation significantly impact the search frequency of consumers. Our research helps to understand the academia-industry gap in their effort to investigate digital twin and guides them on steps to take and themes to pursue for generating consumer interest.","url":"https://doi.org/10.2139/ssrn.4003286","authors":["Suparna Dhar","Pratik Tarafdar","Indranil Bose"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-08T03:32:54Z","doi":"10.2139/ssrn.4003286","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5063886","name":"DIGITAL TWIN-DRIVEN OPTIMIZATION OF BIOENERGY PRODUCTION FROM WASTE MATERIALS","source":"crossref","abstract":"&lt;p&gt;&lt;span&gt;This study explores the transformative role of digital twin technology in optimizing bioenergy production, focusing on its applications in real-time monitoring, process simulation, predictive maintenance, and hybrid energy systems. Utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, a total of 94 peer-reviewed articles were systematically identified, screened, and analyzed to ensure a comprehensive and rigorous review. The findings highlight the advancements in digital twin technology, including its integration with IoT-enabled sensors and machine learning algorithms, which enable dynamic system optimization and predictive capabilities. The study also examines the role of digital twins in hybrid energy systems, demonstrating their potential to enhance energy efficiency by up to 30% through seamless integration with solar and wind energy. Despite these advancements, the review identifies critical challenges, such as high computational demands, data integration issues, and economic and policy barriers, which limit the scalability and widespread adoption of digital twins in industrial bioenergy applications. This study contributes to the growing body of knowledge by offering a comprehensive synthesis of existing research, identifying key gaps, and emphasizing the need for interdisciplinary collaboration and policy support to fully harness the potential of digital twins in achieving sustainable energy goal.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;","url":"https://doi.org/10.2139/ssrn.5063886","authors":["Md Rabbi Khan","Jareer Murtaza Amin","Md Mahfuj Hosen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-04T13:57:22Z","doi":"10.2139/ssrn.5063886","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1061/9780784485163.072","name":"A Digital Twin Framework to Simulate Urban Microclimates","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485163.072","authors":["Tong Liu","Chao Fan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-14T06:00:50Z","doi":"10.1061/9780784485163.072","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00003-2","name":"Cybersecurity, digital privacy, and modeling aspects of digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00003-2","authors":["Sri Nikhil Gupta Gourisetti","David Sebastian Cardenas","Ranade Akshay","William Reid","Mylrea Michael","Kolga Rene","Umit Cali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:28:04Z","doi":"10.1016/b978-0-443-14070-9.00003-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.58830/ozgur.pub95.c441","name":"Digital Twin in Agriculture","source":"crossref","abstract":"The agricultural sector is a fundamental sector for meeting the nutritional needs of people and is the livelihood of many people around the world. However, the agricultural sector, like other sectors, needs development. With the rapid development of technology, the use of digital technologies in the agricultural sector is also increasing. These technologies are used to increase the productivity of the agricultural sector, to ensure sustainability and to reduce costs. Digital twin technology is among these technologies. Digital twin technology is the creation of a virtual copy of a real object. This technology can be used in many areas such as plants, animals, land and production in the agricultural sector. The innovations brought by this technology to the agricultural sector have been the subject of many academic studies. In this article, the innovations brought by digital twin technology in agriculture in terms of plants, animals, land and production will be discussed and the results of academic studies will be included.","url":"https://doi.org/10.58830/ozgur.pub95.c441","authors":["Mahmut Durgun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-27T23:30:26Z","doi":"10.58830/ozgur.pub95.c441","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5194/egusphere-egu25-8017","name":"A first view of the EO-driven digital twin for ice sheets","source":"crossref","abstract":"The response of ice sheets and shelves to climate change profoundly influences global human activities, ecosystems, and sea-level rise. As such, ice sheets are a vital component of the Earth system, making them a cornerstone for developing a future Digital Twin Earth. Here, we present the initial steps toward an Earth Observation (EO)-driven Digital Twin Component (DTC) for Ice Sheets, marking an effort to understand and predict the behaviour of the Greenland Ice Sheet and Antarctic ice shelves under user-defined &amp;#8220;what-if&amp;#8221; scenarios.To meet the diverse needs of stakeholders, DTC Ice Sheets will adopt a modular design comprising 10 Artificial Intelligence/Machine Learning (AI/ML) and Data Science modules. All targeted four initial use cases that will drive the development of DTC Ice sheets. These initial use cases are: (1) Greenland Hydropower Potential: By modelling and monitoring ice sheet hydrology and meltwater runoff, the DTC ice sheets will evaluate Greenland&amp;#8217;s renewable energy opportunities and provide actionable insights for sustainable hydropower development. (2) EU Sea Level Response Fingerprint: The DTC Ice Sheets will deliver region-specific insights into how ice sheet mass loss will contribute to global sea level rise, focusing on the implications for coastal infrastructure across Europe. (3) State and Fate of Antarctic Ice Shelves: Through detailed stability analysis, the DTC Ice Sheets will investigate the vulnerability of Antarctic ice shelves to climatic and oceanic changes, shedding light on their role in regulating ice sheet mass loss and global sea level. (4) Enhanced Surface Climate: Leveraging EO data and climatology, the DTC Ice Sheets will improve understanding of surface climate interactions, advancing predictions of feedback loops between ice sheets, the atmosphere, and the ocean.The DTC Ice sheet implementation on the DestinE Core Service Platform (DESP) will consist of interconnected modules to serve the use cases. Still, it will also, when fully implemented, provide a holistic view of an ice sheet digital twin. Hence, DTC Ice Sheets aims to provide high-resolution insights into ice sheets' past, present, and future states, align with stakeholders, and foster interdisciplinary collaboration by interfacing with other thematic Digital Twin Earth systems, such as ocean and coastal processes. The DTC ice sheets will empower stakeholders to explore What-if scenarios to address climate change's impacts and feedback mechanisms. All are found in current state-of-the-art EO data of ice sheets.&amp;#160;","url":"https://doi.org/10.5194/egusphere-egu25-8017","authors":["Sebastian Simonsen","Nanna Karlsson","The DTC Team"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T21:32:56Z","doi":"10.5194/egusphere-egu25-8017","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1080/27525783.2022.12519255","name":"REVISED Modeling of cross-scale human activity for digital twin workshop\n         \t\t\t[version 2; peer review: 2 approved]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2022.12519255","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-27T10:15:46Z","doi":"10.1080/27525783.2022.12519255","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.36227/techrxiv.172349525.50239637/v2","name":"Generative AI over Mobile Networks for Human Digital Twin in Human-Centric Applications: A Comprehensive Survey","source":"crossref","abstract":"Generative artificial intelligence (GenAI) is a powerful technology that can leverage advanced AI algorithms to automatically create, manipulate, and modify valuable while diverse data. GenAI has recently attracted phenomenal attentions and can serve as a key supplement for empowering the other techniques, e.g., the emerging human digital twin (HDT) that requires high-fidelity virtual modeling and strong information interactions but possibly with scarce, biased and noisy data. This survey focuses on the implementation of GenAI enabled HDT over mobile networks, i.e., mobile GenAI-driven HDT, that particularly addresses human-centric applications, demanding customized service, user-friendly experience, context-aware response and seamless integration, while suffering from uncertain user mobility, time-varying internal/external factors, unstable end-to-end network performance, etc. We begin by elaborating the core requirements of human-centric applications, and then envision the potential of utilizing mobile GenAI-driven HDT. Following this, we delve into the fundamentals of mobile GenAI-driven HDT by discussing both GenAI and HDT in detail, and exploring how GenAI-driven HDT can be implemented under the end-edge-cloud collaborative framework over mobile networks. After that, we introduce several typical human-centric applications that may be well supported by mobile GenAI-driven HDT, including healthcare, manufacturing and intelligent transportation. Moreover, we analyze and review in-depth the technical issues and promising solutions for the realization of mobile GenAI-driven HDT, focusing on the large model deployment, personalized model evolution and immersive interactions over mobile networks. Finally, we conclude this survey by highlighting some open issues and future research directions.","url":"https://doi.org/10.36227/techrxiv.172349525.50239637/v2","authors":["Jiayuan Chen","You Shi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-30T12:47:01Z","doi":"10.36227/techrxiv.172349525.50239637/v2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-3-031-47316-6","name":"Generation and Update of a Digital Twin in a Process Plant","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-47316-6","authors":["Josip Stjepandić","Johannes Lützenberger","Philipp Kremer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-31T21:06:28Z","doi":"10.1007/978-3-031-47316-6","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1039/d6ra01076h/v1/review1","name":"Review for \"Degradation-as-Signal: A Digital-Twin Framework for Disposable Optical Glucose Sensing with Lead-Free Perovskite-Inspired Films\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d6ra01076h/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T21:02:01Z","doi":"10.1039/d6ra01076h/v1/review1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.32388/lhugdd","name":"Review of: \"Next-Generation Space Cardiology: Developing a COMSOL-Enabled Digital Heart Twin for Long-Duration Missions\"","source":"crossref","abstract":"","url":"https://doi.org/10.32388/lhugdd","authors":["Jonas Michel Wolf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-17T12:15:49Z","doi":"10.32388/lhugdd","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/j.mfglet.2018.02.006","name":"Digital twin – Proof of concept","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2018.02.006","authors":["Sebastian Haag","Reiner Anderl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-02-07T00:02:56Z","doi":"10.1016/j.mfglet.2018.02.006","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.3997/2214-4609.202221051","name":"Digital Twin - How to understand the Post-Mining Processes","source":"crossref","abstract":"","url":"https://doi.org/10.3997/2214-4609.202221051","authors":["M. Pawlik","M. Gellendin","T. Rudolph"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-14T06:03:51Z","doi":"10.3997/2214-4609.202221051","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.36334/modsim2025.l04.lai","name":"Building a water quality model for Receiving Environment Digital Twin (REDiT)","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim2025.l04.lai","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T04:58:49Z","doi":"10.36334/modsim2025.l04.lai","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.20944/preprints202606.0108.v1","name":"A Digital Twin for Brake Wear Predictive Maintenance","source":"europepmc","abstract":"Brake pad wear is governed by coupled thermo-mechanical interactions in which degradation alters braking behaviour. This altered braking behaviour, in turn, affects vehicle dynamics, which, in turn, influences future wear evolution. Existing diagnostic and prognostic approaches typically neglect this dynamics-wear coupling, potentially limiting their ability to accurately predict remaining useful life under evolving operating conditions. This work proposes a digital twin framework for brake wear prognosis that integrates state estimation, parameter adaptation, and dynamics-aware degradation modelling. The approach combines brake pad volume estimation from vehicle operational data, online identification of the brake wear coefficient through inverse modelling, and forward propagation of degradation using a wear-dependent dynamics model. The proposed digital twin predicive maintenance framework is evaluated using simulated run-to-failure datasets for a mining load-haul-dumper and compared against data-driven and physics-based predictive maintenance models. Results show that the digital twin approach improves the accuracy and stability of remaining useful life prediction, particularly under anomalous degradation conditions, and achieves earlier convergence to practically useful predictions. These findings demonstrate that accurate brake wear prognosis requires integrating degradation modelling with vehicle dynamics and online parameter updating. The proposed digital twin provides a practical pathway towards more reliable predictive maintenance in systems where degradation and system behaviour are strongly coupled.","url":"https://doi.org/10.20944/preprints202606.0108.v1","authors":["Luke van Eyk","Johannes Moes","Brian Ellis","Stephan Schmidt","Stephan Heyns"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.0108.v1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.5274649","name":"Hysolsim: A Digital Twin (Simulator) for Hybrid Solar Thermal Power Plant","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5274649","authors":["Dibyajyoti Baidya","Surender Kannaiyan","Mani Bhushan","Sharad Bhartiya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-29T19:40:46Z","doi":"10.2139/ssrn.5274649","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5220/0013090200003838","name":"Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013090200003838","authors":["Alexis Chartrain","Gilles Dessagne","Noël Haddad","David Hill"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T02:08:59Z","doi":"10.5220/0013090200003838","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5194/egusphere-gc8-hydro-123","name":"Towards an Open Digital Twin of Soil-Plant System","source":"crossref","abstract":"&amp;lt;p&amp;gt;Climate projections strongly suggest that the 2022 sweltering summer may be a harbinger of the future European climate. Climate extremes (e.g., droughts and heatwaves) jeopardize terrestrial ecosystem carbon sequestration and hinder EU&amp;#039;s goal of being climate-neutral by 2050. The construction of an open digital twin of the soil-plant system helps to monitor and predict the impact of extreme events on ecosystem functioning, the resulting information from which can be used to recommend measures and policies to increase the resilience of ecosystems to climate-related challenges. There are three main components of the soil-plant digital twin:&amp;amp;#160; i) The soil-plant model for a digital representation of the soil-plant system; ii) Physics-aware machine learning algorithms to approximate the soil-plant model; and iii) Data assimilation framework to digest Earth Observation data to update the states of the soil-plant system. This paper will present a prototype of this open soil-plant digital twin.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-gc8-hydro-123","authors":["Yijian Zeng","Fakhereh Alidoost","Bart Schilperoort","Yang Liu","Zhongbo Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-08T13:23:28Z","doi":"10.5194/egusphere-gc8-hydro-123","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.4043/37058-ms","name":"Real-Time Ocean Physics Digital Twin for Offshore Operations","source":"crossref","abstract":"Abstract Offshore industries require real-time ocean intelligence for operational decisions and regulatory compliance. Current digital twins do not integrate ocean physics - the transport, mixing, and circulation processes that define the marine environment itself. Ocean modeling capabilities can close that gap, but have been too slow and complex for operational use. atdepth presents a novel GPU-based Ocean Digital Twin (ODT) platform, ODT Ari, that enables physics-resolving ocean modeling at ~300 times the speed and ~25 times lower cost than traditional approaches. While broadly applicable across ocean industries, such as offshore oil &amp; gas, cable laying and offshore wind, in this presentation we demonstrate how such a performance breakthrough enables real-time operational intelligence for deep-sea mining—continuous environmental monitoring, adaptive management responding to changing conditions, and automated regulatory compliance reporting during active operations rather than post-hoc analysis. The platform integrates multi-scale nested architecture resolving non-hydrostatic near-field processes (1-1,000m) with regional hydrostatic processes (1-100km) in real-time on commodity hardware, capturing critical processes that traditional hydrostatic-only models cannot resolve.","url":"https://doi.org/10.4043/37058-ms","authors":["T. Peacock","C. Muñoz-Royo","R. Ouillon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T00:13:36Z","doi":"10.4043/37058-ms","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.3390/math13172817","name":"Ontology-Driven Digital Twin Framework for Aviation Maintenance and Operations","source":"crossref","abstract":"This paper presents a novel ontology-driven digital twin framework specifically designed for aviation maintenance and operations that addresses these challenges through semantic reasoning and explainable decision support. The proposed framework integrates seven interconnected ontologies—structural, functional, behavioral, monitoring, maintenance, lifecycle, and environmental. It collectively provides a comprehensive semantic representation of aircraft systems and their operational context. Each ontology is mathematically formalized using description logics and graph theory, creating a unified knowledge graph that enables transparent, traceable reasoning from sensor observations to maintenance decisions. The digital twin is formally defined as a 6-tuple that incorporates semantic transformation engines, cross-ontology mappings, and dynamic reasoning mechanisms. Unlike traditional data-driven approaches that operate as black boxes, the ontology-driven framework provides explainable inference capabilities essential for regulatory compliance and safety certification in aviation. The semantic foundation enables causal reasoning, rule-based validation, and context-aware maintenance recommendations while supporting standardization and interoperability across manufacturers, airlines, and regulatory bodies. The research contributes a mathematically grounded, semantically transparent framework that bridges the gap between domain knowledge and operational data in aviation maintenance. This work establishes the foundation for next-generation cognitive maintenance systems that can support intelligent, adaptive, and trustworthy operations in modern aviation ecosystems.","url":"https://doi.org/10.3390/math13172817","authors":["Igor Kabashkin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T08:23:38Z","doi":"10.3390/math13172817","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1080/28375807.2026.2725220","name":"A Digital-twin-supported planning strategy for pipe replacement in smart water networks","source":"crossref","abstract":"","url":"https://doi.org/10.1080/28375807.2026.2725220","authors":["Giuseppina Messa","Simone Ripani","Davide Acconciaioco","Simona Corrado","Luigi Berardi","Daniele Biagio Laucelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T05:38:06Z","doi":"10.1080/28375807.2026.2725220","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5194/egusphere-egu25-1300","name":"Evaluating the Land Degradation trends: A Digital Twin Approach for Enhanced Environmental Monitoring ","source":"crossref","abstract":"Climate change significantly impacts land degradation, posing substantial threats to ecosystems and human livelihoods. This paper proposes an outline to create a digital twin aiming to integrate various datasets for monitoring land degradation and supporting stakeholders. The Digital Twin of Land Degradation (DTLD) will integrates satellite and drone imagery, real-time data, IoT, and field collection data to establish a dynamic and real-time simulation of land degradation at the affected regions. This framework implementation can be used by different end-users like scientific community, private sector, NGO, public community, decision-makers and internation organizations for analysis, report, and support the effective of land management practices. By implementing a nested method, the interconnected areas and their associated physical processes contribute to a larger twinning of the entire region. This is achieved by collecting geospatial information from different sources at different scales and modeling this data in real-virtual time. Ultimately, the DTLD approach should proves invaluable in pinpointing vulnerable areas and informing targeted mitigation strategies. This study underscores the critical need for advanced monitoring tools in combating land degradation and highlights the potential of digital twins in environmental research.","url":"https://doi.org/10.5194/egusphere-egu25-1300","authors":["Adnane Labbaci","Karen Barton","Jieun Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T16:48:36Z","doi":"10.5194/egusphere-egu25-1300","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2139/ssrn.5558162","name":"Modelling complex behaviour in digital twin discrete event simulations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5558162","authors":["Finley Rudin","Paul Goodall","Ryan Williamson","Andrew West","Radmehr Monfared"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-02T23:38:01Z","doi":"10.2139/ssrn.5558162","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1201/9781003479031-12","name":"Digital twin technology for industrial automation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003479031-12","authors":["Anil Kumar Dubey","Richa Bansal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-17T20:55:32Z","doi":"10.1201/9781003479031-12","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1201/9781003732167-10","name":"Crude and Vacuum Distillation Unit","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-10","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-10","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/tmech.2025.3553869/mm1","name":"Optimized Visual Servo Control and Digital Twin-Driven Hardware-in-the-Loop Simulation Methods for Autonomous Surface Manipulator Systems_supp1-3553869.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmech.2025.3553869/mm1","authors":["Yi Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-10T13:13:25Z","doi":"10.1109/tmech.2025.3553869/mm1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-3-030-94617-3_4","name":"Digital Revolution in the Energy Sector: Effects of Using Digital Twin Technology","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-94617-3_4","authors":["Wadim Strielkowski","Gordon Rausser","Evgeny Kuzmin","Wadim Striełkowski","Gordon C. Rausser"],"tags":["The Internet","Computer security","Smart grid","Field (mathematics)","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"10.1007/978-3-030-94617-3_4","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.58532/nbennurdtbcsw3n1","name":"REVIEW OF AI-POWERED DIGITAL TWIN SECURITY IN CLOUD COMPUTING","source":"crossref","abstract":"The convergence of digital twin (DT) technology with artificial intelligence (AI) and cloud computing has given rise to powerful real-time systems capable of monitoring, simulating, and optimizing complex physical processes. However, this integration introduces a wide range of cybersecurity concerns. From adversarial AI threats to cloud infrastructure vulnerabilities, AI-powered digital twins operating in distributed cloud environments face both unprecedented opportunities and risks. This review explores the evolving landscape of digital twin security, emphasizing the dual role of AI as both a potential attack surface and a defensive mechanism. It analyses existing literature on threat models, AI-driven security frameworks, and conceptual architectures, ultimately identifying gaps and directions for securing next generation AI-integrated digital twins in the cloud.","url":"https://doi.org/10.58532/nbennurdtbcsw3n1","authors":["Urvish Pandya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-18T09:29:22Z","doi":"10.58532/nbennurdtbcsw3n1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.5604/01.3001.0055.2521","name":"Review of modern digital technologies for sustainable buildings: integration of BIM, Digital Twin and renewable energy sources","source":"crossref","abstract":"In the face of increasing Polish and EU requirements for climate neutrality, the role of digital technologies in the design and operation of buildings is gaining strategic importance. This paper presents the integrated use of Building Information Modelling (BIM) and the Digital Twin concept in the context of selecting, modelling, and optimizing renewable energy sources (RES) in architectural structures. The analysis covers: (1) key tools and data exchange formats, (2) capabilities for dynamic simulations of energy consumption and production, and (3) the impact of digital twins on predictive management of PV installations, heat pumps, and micro wind turbines. A case study demonstrates the potential for a 32% reduction in CO2 emissions over five years through the integration of BIM and Digital Twin. The results indicate that the synergistic use of both technologies reduces the time required for RES scenario analysis by half and increases the accuracy of energy production forecasts by 15%. The paper concludes with recommendations for designers, investors, and researchers, emphasizing the need for tool interoperability and standardization of energy data.","url":"https://doi.org/10.5604/01.3001.0055.2521","authors":["Anna Stefańska","Małgorzata Kurcjusz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-18T23:02:01Z","doi":"10.5604/01.3001.0055.2521","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-26104-6_6","name":"Adaptive Assistance Systems: Approaches, Benefits, and Risks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6_6","authors":["Victoria Buchholz","Stefan Kopp"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T02:01:47Z","doi":"10.1007/978-3-031-26104-6_6","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/dtpi52967.2021.9540143","name":"Application of Digital Twin and Parallel System in Automated Driving Testing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi52967.2021.9540143","authors":["Yuping Liu","Kai Zhang","Zhiheng Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T20:35:44Z","doi":"10.1109/dtpi52967.2021.9540143","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00007-x","name":"Underactuated digital twin's robotic hands with tactile sensing capabilities for well-being","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00007-x","authors":["Mohd Faisal","Roberto Alejandro Martinez Velazquez","Fedwa Laamarti","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:37:02Z","doi":"10.1016/b978-0-32-399163-6.00007-x","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-3-030-02203-7_12","name":"Cyber-Physical System to Improve Machining Process Performance","source":"crossref","abstract":"Abstract Machining process is set-up in the machines at different levels of maturity. While in large batch manufacturing, a long time is spent in process design and optimization, and in small batch production, the process design time is limited, and the designed process is far to be optimized. In any case, the possibility to control and optimize the process at machine level is very important to increase the productivity. The concept of cyber-physical systems (CPS) is introduced in this paper to increase machine tool performance and process productivity. Several CPS-based features developed in Twin-Control are presented.","url":"https://doi.org/10.1007/978-3-030-02203-7_12","authors":["Mikel Armendia","Tobias Fuertjes","Denys Plakhotnik","Johaness Sossenheimer","Dominik Flum"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_12","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/dtpi52967.2021.9540133","name":"Digital Twin Enabled Methane Emission Abatement Using Networked Mobile Sensing and Mobile Actuation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi52967.2021.9540133","authors":["Di An","YangQuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T16:35:44Z","doi":"10.1109/dtpi52967.2021.9540133","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/iccworkshops57953.2023.10283592","name":"Digital Twin Based Beam Prediction: Can We Train in the Digital World and Deploy in Reality?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops57953.2023.10283592","authors":["Shuaifeng Jiang","Ahmed Alkhateeb"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-23T13:54:22Z","doi":"10.1109/iccworkshops57953.2023.10283592","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/b978-0-443-28884-5.00025-7","name":"Blockchain-based digital twin for supply chain management: A survey","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-28884-5.00025-7","authors":["Jiongbin Liu","William Yeoh","Shang Gao","Youyang Qu","Longxiang Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T08:08:08Z","doi":"10.1016/b978-0-443-28884-5.00025-7","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00022-7","name":"Digital twin underwater game engine environment for generating deep learning fish detection datasets","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00022-7","authors":["Ivan Nikolov","Sebastian Whitehead","Jonas Lind","Rasmus Jacobsen","Arlonsompoon Lind","Mads Sørensen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00022-7","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1016/j.procs.2024.02.104","name":"Digital twin and digital thread within the product lifecycle management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.02.104","authors":["Christine Lehner","Antonio Padovano","Christian Zehetner","Georg Hackenberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T23:26:53Z","doi":"10.1016/j.procs.2024.02.104","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.3997/2214-4609.202477025","name":"Digital Twin-Assisted Reservoir Management for Infill Drill Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.3997/2214-4609.202477025","authors":["G. Bhatia","D. Nanda","A. Yadav","M. Khanna","P. Gemini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-09T01:06:14Z","doi":"10.3997/2214-4609.202477025","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.18690/um.fov.4.2026.55","name":"It Takes Two to Co-Create: Digital Twin Mechanism for Value Co-Creation","source":"crossref","abstract":"The convergence of physical assets and dynamic digital representations is reshaping how value is created in service ecosystems. Digital twins (DTs) are at the center of this development, yet a comprehensive understanding of how they influence the co-creation of value remains lacking. A systematic literature review of 53 peer-reviewed articles on DTs in service ecosystems was conducted. Drawing on service-dominant logic (SDL) as an analytical lens and expanding this perspective with Giddens' theory of structuration, the analysis identifies five mechanisms: real-time mirroring and synchronization, simulative anticipation and scenario experimentation, feedback-driven adaptive learning and reconfiguration, interactive co-creation and participatory design, and cross-boundary resource orchestration. Building on these two theoretical perspectives, a conceptual framework is developed that positions DTs as socio-material mediators of structuration in service ecosystems. In doing so, the SDL discourse is expanded by illustrating how digital technologies condition and transform resource integration, while offering implications for DT-based service design.","url":"https://doi.org/10.18690/um.fov.4.2026.55","authors":["Robert Schmelzer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T10:27:23Z","doi":"10.18690/um.fov.4.2026.55","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1201/9781003507000-2","name":"Organisational factors affecting digital technology adoption in the architecture industry","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507000-2","authors":["Hesham Algassim","Samad M. E. Sepasgozar","Michael J. Ostwald","Steven Davis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T11:08:34Z","doi":"10.1201/9781003507000-2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3997/2214-4609.202477032","name":"Physics-Based Digital Twin for Structural Health Monitoring of Civil and Marine Structures. Use-Cases","source":"crossref","abstract":"","url":"https://doi.org/10.3997/2214-4609.202477032","authors":["C. Aguilera","C. Condemine"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-09T01:06:14Z","doi":"10.3997/2214-4609.202477032","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.2172/1828164","name":"Phasor-Measurement-Unit-Based Data Analytics Using Digital Twin and PhasorAnalytics Software","source":"crossref","abstract":"","url":"https://doi.org/10.2172/1828164","authors":["Philip Hart","Weizhong Yan","Tianyi Wang","Vijay Kumar","Pengyuan Wang","Lijun He","Arun Subramanian","Kareem Aggour"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-30T07:19:20Z","doi":"10.2172/1828164","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1145/3785706.3785854","name":"Research on Enhancing Enterprise Resource Management Efficiency Using Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3785706.3785854","authors":["Jiang Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-19T11:06:31Z","doi":"10.1145/3785706.3785854","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-981-96-9108-1_1","name":"The (Executable) Digital Twin: Merging the Digital and the Physical Worlds","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9108-1_1","authors":["Herman Van der Auweraer","Dirk Hartmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-01T23:24:47Z","doi":"10.1007/978-981-96-9108-1_1","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/dtpi52967.2021.9540134","name":"Digital Twin Channel: A Data-Driven Continuous Trajectory Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi52967.2021.9540134","authors":["Zehao Yu","Xingzai Lv","Hua Rui","Wei Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T20:35:44Z","doi":"10.1109/dtpi52967.2021.9540134","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.54729/2789-8547.1199","name":"ARCHITECTURAL HYBRID (PHYSICAL-DIGITAL) PROTOTYPING IN DESIGN PROCESSES WITH DIGITAL TWIN TECHNOLOGIES","source":"crossref","abstract":"","url":"https://doi.org/10.54729/2789-8547.1199","authors":["GULBAHAR EMIR ISIK","HENRI ACHTEN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-24T11:46:18Z","doi":"10.54729/2789-8547.1199","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1109/ccnc51664.2024.10454704","name":"On the Integration of Digital Twin Networks into City Digital Twins: Benefits and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc51664.2024.10454704","authors":["Ion Turcanu","German Castignani","Sébastien Faye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-18T14:53:49Z","doi":"10.1109/ccnc51664.2024.10454704","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.4337/9781035364282.00016","name":"Born digital after the pandemic: rethinking the logic and dynamic capabilities behind their strategies","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035364282.00016","authors":["Natalia Wojciechowska"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T20:59:16Z","doi":"10.4337/9781035364282.00016","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.422Z"},{"id":"doi:10.1007/978-981-99-5804-7_2","name":"Digital Twins Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-5804-7_2","authors":["Wenjuan Wang","Qasim Zaheer","Shi Qiu","Weidong Wang","Chengbo Ai","Jin Wang","Sicheng Wang","Wenbo Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-05T13:02:59Z","doi":"10.1007/978-981-99-5804-7_2","addedAt":"2026-09-01T01:47:32.422Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-3-031-29515-7_22","name":"Digital Twin Approach for Maintenance Management","source":"crossref","abstract":"Abstract After years of slightest attention to the environment, low productivity, and least rates of technological innovation, the construction sector has started a slow but in-depth review of its statutes and priorities. The ongoing ecological and digital transition opens to new opportunities connected to the implemental policies of Industry 4.0—at now Industry 5.0—and related enabling technologies. Opportunities that strongly reaffirm the need for innovative, responsible, and sustainable governance of the life cycle of buildings, placing it in the new perspective of Digital Twin approach. Starting from this scenario, the paper presents some ongoing upgrade of a maintenance management model expressly aimed at optimizing activities in the operation and maintenance phase from which evident economic, environmental, and social extra costs arise.","url":"https://doi.org/10.1007/978-3-031-29515-7_22","authors":["Massimo Lauria","Maria Azzalin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-29T06:03:57Z","doi":"10.1007/978-3-031-29515-7_22","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.62517/jbm.202609214","name":"Siemens' Industrial Internet of Things and Digital Twin Pioneers New Pathways for Digital Transformation in Manufacturing","source":"crossref","abstract":"With the advent of the Industry 4.0 era, the Industrial Internet of Things and digital twins have become the core drivers for intelligent transformation in manufacturing. This paper examines Siemens, a global manufacturing giant, to explore how its strategic approach of ‘virtual-physical convergence’ enabled a successful transition from a traditional electrical and automation hardware manufacturer to a digital industrial technology service provider. The study employs case study methodology, literature analysis, and inductive-deductive reasoning to conduct a comparative analysis of recent global and Chinese industrial Internet of Things data alongside digital twin technologies.Research reveals that Siemens has achieved closed-loop management across the entire product lifecycle-from design and production planning to after-sales service-by deeply integrating the data acquisition capabilities of the Industrial Internet of Things with the simulation and predictive capabilities of digital twins through open platforms such as MindSphere and Xcelerator. This convergence not only enhances productivity and energy efficiency but also drives innovation in manufacturing business models, shifting from single-product sales to outcome-oriented service trade centred on ‘products plus services’. This paper summarises Siemens' technological approach of ‘first testing in the virtual realm, then optimising in reality,’ along with its economic value in reducing costs and accelerating innovation. It provides support and practical pathways for China's manufacturing sector to upgrade its industrial chain and reconstruct global value chains within the context of the digital economy.","url":"https://doi.org/10.62517/jbm.202609214","authors":["Zihan Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T16:23:51Z","doi":"10.62517/jbm.202609214","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/ccnc54725.2025.10975984","name":"Design of Digital Twin-Based Digital Signage Advertisement Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc54725.2025.10975984","authors":["Toru Ooka","Zongdian Li","Kelvin Cheng","Daisuke Ichihashi","Kei Sakaguchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-05T17:52:06Z","doi":"10.1109/ccnc54725.2025.10975984","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/digital6020051","name":"A Digital Twin-Based Framework for Biomechanical Ergonomics Assessment in Human–Robot Collaboration","source":"openalex","abstract":"In today’s manufacturing industry, work-related musculoskeletal disorders (WMSDs) remain among the most prevalent occupational health issues. Collaborative robots (cobots) represent a promising technology to address this challenge. Consequently, ergonomics assessment in human–robot collaboration (HRC) has gained increasing attention in recent years. This study investigates the feasibility of using a coupled digital twin system consisting of a digital human model (DHM) and a cobot digital twin to assess detailed ergonomic parameters such as muscle activations and joint reaction forces in an HRC task. Selected parameters are used to develop an ergonomics map that condenses the effects of human–robot interaction into a single scalar value for each working position in the coronal plane in front of the user. The ergonomics mapping approach is presented, key influencing factors are identified, and critical workspace design implications are discussed.","url":"https://doi.org/10.3390/digital6020051","authors":["Jörg Miehling","Matthias Guertler","Marc Carmichael","Richardo Khonasty","Louis Fernandez","Sandro Wartzack","Christopher Löffelmann","Marc G. Carmichael"],"tags":["Human factors and ergonomics","Workspace","Engineering","Digital health","Participatory ergonomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-17","doi":"10.3390/digital6020051","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.1109/icufn57995.2023.10199800","name":"Performance Verification of the Digital Archive Subsystem for Digital Twin-based Disaster Management Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icufn57995.2023.10199800","authors":["Ki-Sook Chung","Woosug Jung"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-07T17:52:13Z","doi":"10.1109/icufn57995.2023.10199800","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.52842/conf.sigradi.2024.2361","name":"Integrating AI-SynBio-Digital Twin Futures in Coastal Urban Resilience","source":"crossref","abstract":"","url":"https://doi.org/10.52842/conf.sigradi.2024.2361","authors":["Thomas Spiegelhalter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-05T19:24:33Z","doi":"10.52842/conf.sigradi.2024.2361","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/access.2024.3406510","name":"From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3406510","authors":["Alexander Barbie","Wilhelm Hasselbring"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-28T18:15:49Z","doi":"10.1109/access.2024.3406510","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1080/17538947.2024.2324964","name":"End-to-end digital twin creation of the archaeological landscape in Uruk-Warka (Iraq)","source":"crossref","abstract":"","url":"https://doi.org/10.1080/17538947.2024.2324964","authors":["Max Haibt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T04:27:12Z","doi":"10.1080/17538947.2024.2324964","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.3390/info15120800","name":"Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training","source":"crossref","abstract":"The steam turbine and its digital electro-hydraulic (DEH) control system constitute vital elements within thermal power generation. However, the complexity of the on-site environment and the high production costs of the equipment hinder users, especially novices, from fully understanding and mastering the operation mechanisms and production processes. In the realm of emerging technologies, the digital twin stands out as a powerful tool for enhancing industrial training and learning for students and operators in this field. This paper details the design and implementation of a web-based digital twin steam turbine system. Initially, a pioneering web-based digital twin architecture is proposed, featuring high-fidelity equipment modeling, web-based immersive 3D displays, algorithm design and networked implementation, and data-driven model synchronization. Subsequently, the functionalities and benefits of the digital twin system in facilitating industrial training are explained, covering aspects such as steam turbine cognitive learning, DEH system simulation learning, and condition monitoring. Finally, a case study in a real thermal power plant is presented to demonstrate the practicability and effectiveness of this web-based digital twin system. This research endeavors to contribute valuable insights and potential solutions to the growing field of web-based digital twin applications in industry.","url":"https://doi.org/10.3390/info15120800","authors":["Zhe Li","Hui Xiao","Bo Wang","Xuzhu Dong","Lianteng Shen","Xiaomeng Di","Xiaodong Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-11T12:38:56Z","doi":"10.3390/info15120800","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.14267/veztud.2023.05.05","name":"How green and digital transformation shapes industries","source":"crossref","abstract":"A digitális átalakulás minden iparágban és üzleti szektorban kihívást jelent. Jelen cikkben a digitális átalakulás kiterjedt, sokrétű és szigetszerű szakirodalmának célzott multidiszciplináris és horizontális áttekintését nyújtják át a szerzők, tisztázva a jelenségnek a GreenTech és a fenntarthatóság szempontjából történő vizsgálati peremfeltételeit. Ugyanis egyértelmű elmozdulás tapasztalható a gazdasági döntéshozatalban a fenntarthatóság irányába, amely köré a GreenTech megoldások épülnek. Közelmúltbeli tanulmányok rávilágítottak a zöld digitalizációs megoldások fontosságára, hangsúlyozva a (digitális) technológia jelentőségét a fenntarthatósági kihívások kezelésében, valamint az üzleti és lakossági felhasználásban. Következésképpen azt találták, hogy a digitális átalakulás terjedésének felgyorsulása és a GreenTech megoldások ebben betöltött szerepe a közeljövőben jelentősen növekedni fog. Nem létezik energiaátmenet digitalizáció nélkül.","url":"https://doi.org/10.14267/veztud.2023.05.05","authors":["Balázs Herczeg","Éva Pintér","Péter Bagó"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-15T03:46:21Z","doi":"10.14267/veztud.2023.05.05","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1016/j.dte.2026.100125","name":"Optimising digital twin parameters to synchronise virtual-physical system response for condition monitoring solutions development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2026.100125","authors":["Himanshu Gupta","Pradeep Kundu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-23T15:22:18Z","doi":"10.1016/j.dte.2026.100125","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/isie62713.2025.11124810","name":"From Scratch to Twin: the Design of Your First Human-Centric Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isie62713.2025.11124810","authors":["Francesco Biondani","Luigi Capogrosso","Marco Cristani","Franco Fummi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-25T20:14:25Z","doi":"10.1109/isie62713.2025.11124810","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-3-030-02203-7_13","name":"Fleet-Wide Proactive Maintenance of Machine Tools","source":"crossref","abstract":"Abstract Fleet-wide proactive maintenance characterizes all services that are made available to the users to help them to operate, supervise and maintain a fleet of systems. These services can be, for a general manager of a fleet, a dashboard of all the systems’ business indicators or, for a technical manager, a dashboard of all the systems’ maintenance and health status. At the bottom level of the pyramidal hierarchy, a technical operator should have a fast overview of the systems’ status and should be alerted at the right time when a system needs to be checked. Nowadays, more and more data and information are available on machine tools which should be treated and analysed to extract the right information for the right people at the right time. To achieve this goal, a fleet-wide proactive maintenance platform requires several main business services to have an understandable view of the system by all users and, thus, save time for decision-making during diagnosis and prognosis analysis.","url":"https://doi.org/10.1007/978-3-030-02203-7_13","authors":["Flavien Peysson","Christophe Mozzati","David Leon","Quentin Lafuste","Jean-Baptiste Leger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_13","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.3717733","name":"Towards a Digital Human Representation in an Industrial Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.3717733","authors":["Dedy Ariansyaha","Achim Buerkle","Ali Al-Yacoubb","Melanie Zimmer","John Ahmet Erkoyuncu","Niels Lohse"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-24T11:33:05Z","doi":"10.2139/ssrn.3717733","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/s10270-024-01255-0","name":"Digital twin and the asset administration shell","source":"crossref","abstract":"Abstract Engineering digital twins is a software and systems engineering challenge for which no systematic approach exists. The Asset Administration Shell is becoming a popular foundation for digital twins in Industry 4.0 and it comes in different types that support the engineering of different kinds and parts of digital twins. We investigate how it supports realizing common requirements for digital twins. To this end, we investigate how each of the three Asset Administration Shell types can contribute to the systematic engineering of specific components of digital twins. Therefore, we analyzed popular definitions and conceptual models of digital twins and extracted requirements that at least two of them share. We compare the resulting requirements with Asset Administration Shells of different types and conclude with open challenges in the implementation of digital twins with this technology. This supports practitioners and researchers in identifying the most suitable type of Asset Administration Shell for their specific digital twin engineering needs and identifies gaps worthy of future research toward a systematic engineering of digital twins.","url":"https://doi.org/10.1007/s10270-024-01255-0","authors":["Jingxi Zhang","Carsten Ellwein","Malte Heithoff","Judith Michael","Andreas Wortmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-08T00:48:29Z","doi":"10.1007/s10270-024-01255-0","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.26731/1813-9108.2019.3(63).89-98","name":"USE OF «DIGITAL TWIN» TECHNOLOGY DURING THE LOCOMOTIVES’ REPAIR MANAGEMENT","source":"crossref","abstract":"","url":"https://doi.org/10.26731/1813-9108.2019.3(63).89-98","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-12-09T07:52:19Z","doi":"10.26731/1813-9108.2019.3(63).89-98","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.21203/rs.3.rs-3347902/v1","name":"Digital Twin-Driven Causal Diagnosis Mechanism for Life Health of High-Speed Spindle System","source":"crossref","abstract":"Abstract In order to achieve the causal diagnosis of life health of high-speed spindle system, a digital twin system is designed and developed based on the combined programming of MATLAB, ANSYS, and LabVIEW. The domain and threshold models of heat generations of bearing and motor are established to diagnose the health status of the spindle system. The Long short-term memory recurrent neural network is used to predict the heat generations of the spindle system. A causal diagnosis model is proposed to judge the fault source according to the sudden change of thermal characteristics. The experimental results show that the digital twin accuracy of thermal characteristics reaches over 95%, and the proposed digital twin-driven causal diagnosis system for life health can successfully monitor the health status of the spindle system.","url":"https://doi.org/10.21203/rs.3.rs-3347902/v1","authors":["Yuzhou Feng","Fan Kai-Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-29T14:53:26Z","doi":"10.21203/rs.3.rs-3347902/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-3-030-51812-7_253-2","name":"Digital Twin and Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-51812-7_253-2","authors":["Samad M. E. Sepasgozar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-03T03:21:03Z","doi":"10.1007/978-3-030-51812-7_253-2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/wsc63780.2024.10838990","name":"Picking System Digital Twin: A Lab-Based Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838990","authors":["Vicky Sipasseuth","Michael E. Kuhl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838990","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1080/27525783.2021.12519272","name":"REVISED The development of a digital twin concept system\n         \t\t\t[version 3; peer review: 1 approved, 3 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2021.12519272","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-04T14:17:44Z","doi":"10.1080/27525783.2021.12519272","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.21203/rs.3.rs-9950351/v1","name":"AI-Driven Digital Twin and Deep Reinforcement Learning Framework for Sustainable Deep-Sea Cobalt-Rich Crust Mining","source":"europepmc","abstract":"Abstract Deep-sea cobalt-rich crust mining is vital for securing critical minerals but faces extreme geological complexity, sparse data, environmental uncertainty, and evolving regulations. To address these challenges, this study proposes an AI-driven Intelligent Decision Support System (IDSS) that integrates digital twin (DT) technology, multi-source data fusion, ESG-constrained strategic assessment, and deep reinforcement learning (DRL) path optimization. First, a DT framework reconstructs high-resolution 3D mineral distribution maps from sparse datasets using deep learning. Second, a multi-objective strategic evaluation framework balances technical feasibility, economics, environmental impacts, and resource resilience. Third, a DRL-based adaptive model optimizes mining paths and production scheduling under dynamic market fluctuations and evolving International Seabed Authority (ISA) regulations, enhanced by a real-options-based model for investment flexibility. Simulation experiments using synthetic datasets derived from GEBCO and public mining statistics demonstrate that the proposed framework significantly improves resource prediction accuracy, environmental compliance, and long-term economic robustness over conventional approaches. By shifting deep-sea mining from static, experience-based decision-making toward adaptive intelligent optimization, this study contributes a systematic, sustainable framework for the emerging field of AI-enabled marine engineering management.","url":"https://doi.org/10.21203/rs.3.rs-9950351/v1","authors":["WU LIYANG"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9950351/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.31224/7916","name":"Intelligent Smart Water Quality Monitoring and Autonomous Protection System Using Differential Evolution and EPANET Digital Twin","source":"crossref","abstract":"Modern urban water distribution systems require intelligent monitoring and autonomous protection mechanisms to prevent contamination and ensure public safety. This paper presents an intelligent decision-support framework integrating Differential Evolution (DE) optimization, EPANET hydraulic simulation, rule-based contamination risk assessment, and a real-time digital twin dashboard. The proposed system continuously monitors water quality parameters including chlorine concentration, turbidity, pressure, and temperature while performing rule-based contamination risk estimation and emergency response control. The developed framework can automatically isolate contaminated network zones using smart valve control and provide intelligent operational recommendations. Beyond the original single-function demonstration, this extended study validates the DE implementation against ten standard benchmark functions, benchmarks it against a particle swarm optimizer under a matched evaluation budget, quantifies the contamination-detection logic against twenty synthetic test scenarios spanning safe, boundary, and multi-fault conditions, and couples a second DE search directly to the EPANET hydraulic model to test pump-speed and valve-setpoint operating envelopes against real simulated pressure constraints rather than an abstract proxy objective. Experimental results demonstrate that the proposed system successfully improves contamination detection, visualization, and autonomous response capabilities for smart city water infrastructures; the EPANET-coupled search further shows that, within the physically reasonable pump-speed range tested, the network's surplus hydraulic capacity leaves no interior energy-pressure trade-off for the optimizer to find, a genuine, if modest, finding about the network's spare capacity. The study also surfaces implementation considerations, including a still-simplified default optimization objective and several software integration issues, that mark the clearest next steps toward a deployable system.","url":"https://doi.org/10.31224/7916","authors":["Mathew Luv Christe","Junior Charlie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T02:05:41Z","doi":"10.31224/7916","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/s38311-023-1534-7","name":"The Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s38311-023-1534-7","authors":["Frank Jung","Michael Reichenbach","Alexander Heintzel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-20T23:01:51Z","doi":"10.1007/s38311-023-1534-7","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1115/imece2024-145165","name":"Digital Twin-Enabled Real-Time Ultrasonic Assessment for Additive Manufacturing","source":"crossref","abstract":"Abstract The proposed DT prototype is underpinned by an approach that dynamically adjusts printing process parameters based on real-time monitoring of the material’s elastic properties. The main goal of this development is to prevent possible defects and to ensure that the desired material properties are achieved throughout the printing process. Parameters including nozzle temperature, layer thickness, and print speed are identified as key factors in controlling the elastic properties of the material. The digital twin utilizes data obtained from sound velocity measurements using ultrasonic (UT) transducers placed under the printer’s build plate. These measurements serve as critical metrics for evaluating the elastic properties of the printed material. The fundamental database for digital twin functionality is created by collecting and analyzing sound speed measurements on PLA samples that are printed using various combinations of printing process parameters. By analyzing the measurement results, a response surface is created that relates the elastic properties of the material to the printing process parameters. Utilizing the data on sound speed within the material and the printing process parameters, the DT offers insights into the elastic properties of the printed part. This enables the adjustment of the printing process to obtain desirable properties and avoid the possible formation of defects. The integration of a digital twin that includes a print response surface is expected to significantly improve control over the outcome of the printing process. This comprehensive approach demonstrates great potential in controlling additive manufacturing to achieve and validate desired material properties.","url":"https://doi.org/10.1115/imece2024-145165","authors":["Mariya Pozhanka","Brayden Stidham","Andrei Zagrai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-23T12:45:32Z","doi":"10.1115/imece2024-145165","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2307/j.ctv2xqngmf.8","name":"Big AI","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.6293656","name":"A Digital-Twin-Assisted Multi-Level Framework for EV scheduling in a Coupled power -transportation system","source":"crossref","abstract":"This paper proposes a Digital Twin (DT)–enabled multi-level scheduling framework for coordinated electric vehicle (EV) integration in coupled power and transportation systems. The DT continuously synchronizes with real-time data from electrical and transportation networks, enabling advanced monitoring, predictive analysis, and informed operational decision-making. Interactions among CSs and EV users are captured through a Stackelberg game formulation, while the overall hierarchical lower-level equilibrium conditions are embedded into the system-level optimization via Karush–Kuhn–Tucker (KKT) reformulation, enabling tractable coordination across transportation and power system layers. A modified K-means clustering algorithm embedded within the DT dynamically generates uncertainty scenarios for renewable generation, electricity prices, network loads, and EV initial state-of-charge (SOC), improving the robustness of the stochastic optimization. The proposed framework jointly coordinates EV routing, CS operation, demand response (DR), and vehicle-to-grid (V2G) services under both transportation and power network constraints. Simulation results show that DT assistance reduces forecasting errors for photovoltaic generation and EV initial SOC by up to 17% and 40%, respectively. DT-based price correction smooths intra-day price volatility while preserving peak-demand signals, enabling effective load shifting. The framework also reduces CS peak contributions at congested nodes and increases V2G activation under uncertainty. Sensitivity analysis using CVaR demonstrates improved profit stability and risk resilience for both aggregators and CSs as DR participation increases. Overall, the results confirm that Digital Twins act as active intelligence layers that enhance coordination efficiency, predictability, and operational robustness in integrated power–transportation systems.","url":"https://doi.org/10.2139/ssrn.6293656","authors":["Pegah Alaee","Július Bemš"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T17:45:12Z","doi":"10.2139/ssrn.6293656","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.15662/ijeetr.2024.0602009","name":"Digital Twin-Driven Predictive Quality Analytics","source":"crossref","abstract":"In the digital environment, sectors such as manufacturing and industry have the highest demand for intelligent quality monitoring systems for supporting the quick and accurate prediction and enhancement of quality. Current quality control techniques are mainly based on phase-wise inspection, back-analysis etc., which are surely not enough and not even adequate to industrial quality control processes of dynamic and data-rich organizations of processes. As an example, in this work, a Digital Twin based Predictive Quality Analytics framework is presented, consisting of the combination of real-time sensor values, Industrial Internet of Things (IIoT) devices and cloud computing as well as Machine Learning algorithms for pro-active quality management. The new approach involves making a virtual copy of the real production system, and constantly synchronizing operation data between physical and virtual systems. Deviation detection based on ATV models (refer to norm values); Deep learning and anomaly detection can be applied to identify deviations, potential quality issues and suggestions for appropriate corrective action. It consists of five key components: data acquisition layer, digital twin modelling layer, cloud based analytics layer, predictive intelligence engine and the decision support dashboard. The experiments show how the proposed system will have an immense impact on defect prediction accuracy, production down time, material wastage and reliability. Moreover, with real-time feedback control, the well adaptable optimization and learning in an industrial context is possible. Based on the ultrasound and the calculated devol(std) value, the study shows how quality assurance applications can be realized to enable next generation manufacturing ecosystems via the support of different Industry 4.0 applications and support of the digital twin and AI","url":"https://doi.org/10.15662/ijeetr.2024.0602009","authors":["Aditi Namdeo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T05:18:01Z","doi":"10.15662/ijeetr.2024.0602009","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1515/9780691223407-017","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-017","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-017","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.3390/s21196638","name":"Digital Twin of an Optical Measurement System","source":"crossref","abstract":"Digital twins of measurement systems are used to estimate their measurement uncertainty. In the past, virtual coordinate measuring machines have been extensively researched. Research on digital twins of optical systems is still lacking due to the high number of error contributors. A method to describe a digital twin of an optical measurement system is presented in this article. The discussed optical system is a laser line scanner mounted on a coordinate measuring machine. Each component of the measurement system is mathematically described. The coordinate measuring machine focuses on the hardware errors and the laser line scanner determines the measurement error based on the scan depth, in-plane angle and out-of-plane angle. The digital twin assumes stable measurement conditions and uniform surface characteristics. Based on the Monte Carlo principle, virtual measurements can be used to determine the measurement uncertainty. This is demonstrated by validating the digital twin on a set of calibrated ring gauges. Two validation tests are performed: the first verifies the virtual uncertainty estimation by comparison with experimental data. The second validates the measured diameter of different ring gauges by comparing the estimated confidence interval with the calibrated diameter.","url":"https://doi.org/10.3390/s21196638","authors":["Michiel Vlaeyen","Han Haitjema","Wim Dewulf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-10T21:37:49Z","doi":"10.3390/s21196638","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.25236/ajets.2023.060209","name":"Exploration on the Application of Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ajets.2023.060209","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T03:02:30Z","doi":"10.25236/ajets.2023.060209","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.3390/app12136770","name":"Bearing Crack Diagnosis Using a Smooth Sliding Digital Twin to Overcome Fluctuations Arising in Unknown Conditions","source":"crossref","abstract":"Bearings cause the most breakdowns in induction motors, which can result in significant economic losses. If faults in the bearings are not detected in time, they can cause the whole system to fail. System failures can lead to unexpected breakdowns, threats to worker safety, and huge economic losses. In this investigation, a new approach is proposed for fault diagnosis of bearings under variable low-speed conditions using a smooth sliding digital twin analysis of indirect acoustic emission (AE) signals. The proposed smooth sliding digital twin is designed based on the combination of the proposed autoregressive fuzzy Gauss–Laguerre bearing modeling approach and the proposed smooth sliding fuzzy observer. The proposed approach has four steps. The AE signals are resampled and the root mean square (RMS) feature is extracted from the AE signal in the first step. To estimate the resampled RMS bearing signal, a new smooth sliding digital twin is proposed in the second step. After that, the resampled RMS bearing residual signal is generated using the difference between the original and estimated signals. Next, a support vector machine (SVM) is proposed for crack detection and crack size identification. The effectiveness of this new approach is evaluated by AE signals provided by our lab’s bearing dataset, where the benchmark dataset consists of one normal and seven abnormal conditions: ball, outer, inner, outer-ball, inner-ball, inner-outer, and inner-outer-ball. The results demonstrated that the average accuracies of the anomaly diagnosis and crack size identification of AE signals for the bearings used in this new smooth sliding digital twin are 97.75% and 97.78%, respectively.","url":"https://doi.org/10.3390/app12136770","authors":["Farzin Piltan","Cheol-Hong Kim","Jong-Myon Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-04T11:15:05Z","doi":"10.3390/app12136770","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.4271/2024-01-4088","name":"Implementing Digital Engineering Digital Thread and Digital Twin to\n                    Support Ground Vehicle Rapid Prototyping with Software Production\n                    Factory","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;The Software Production Factory (SPF) is a cyber physical construct of computers, hardware and software integrated together to serve as an ideation and rapid prototyping environment. SPF is a virtual dynamic environment to analyze requirements, architecture, and design, assess trade-offs, test Ground Vehicle development artifacts such as structural and behavioral features, and deploy system artifacts and operational qualifications. SPF is utilized during the product development as well as during system operations and support. The white paper describes the components of the SPF to build relevant Ground Vehicle Rapid Prototyping (GVRP) models in accordance with the model-centric digital engineering process guidelines. The factory and the processes together ensure that the artifacts are produced as specified. The processes are centered around building, maintaining, and tracing single source of information from source all the way to final atomic element of the built system.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-4088","authors":["Ajay Thukral","Kevin W. Griffin","Robert J. Kanon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-15T22:15:25Z","doi":"10.4271/2024-01-4088","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1049/dgt2.12009","name":"Hi‐Z fault location identification on low voltage distribution systems using IoT‐based digital twin model computation","source":"crossref","abstract":"Abstract Distribution feeders carry and supply power to industrial, commercial and residential loads from the point where sub‐transmission (33 kV level) ends after stepping down to suitable voltages, such as 11 kV and further down to 400/230 V. In recent times, high impedance (Hi‐Z) faults on distribution systems are creating unique challenges to utilities both from operational and safety perspectives. Most of these Hi‐Z faults occur at distribution voltages of 15 kV or below, with the problem being worse at lower voltages. Hi‐Z fault detection technologies emerged and were developed and incorporated on embedded platforms, such as relays, reclosers and sensors, which protect and monitor distribution systems. Although these technologies can detect Hi‐Z fault on feeders, most of them cannot identify the exact location of the fault. Specifically, there is no solution available in literature for detecting Hi‐Z fault location on low voltage (LV) circuits like 3‐phase 4‐wire 400 V distribution network. In this paper, we introduce a novel and a unique algorithm to identify the location of Hi‐Z faults using proposed smart metres IoT data‐based distribution system load flow and digital twin model representation of the network. Furthermore, a case study on the standard 33 bus LV system clearly depicts the functionality of the proposed algorithm.","url":"https://doi.org/10.1049/dgt2.12009","authors":["Balakrishna Pamulaparthy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-03T07:23:45Z","doi":"10.1049/dgt2.12009","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/s41050-023-00041-z","name":"Forest Digital Twin: A Digital Transformation Approach for Monitoring Greenhouse Gas Emissions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s41050-023-00041-z","authors":["Jose Reinaldo Silva","Paulo Artaxo","Elinilson Vital"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-05T18:02:11Z","doi":"10.1007/s41050-023-00041-z","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-3-030-87745-3_253","name":"Digital Twin and Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-87745-3_253","authors":["Samad M. E. Sepasgozar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-13T16:09:11Z","doi":"10.1007/978-3-030-87745-3_253","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1016/b978-0-443-40678-2.00012-x","name":"Artificial intelligence/machine learning with digital twin enabled metaverse","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-40678-2.00012-x","authors":["Suneeta Mohanty","Sudhanshu Vaduka","Prasant Kumar Pattnaik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-20T12:39:07Z","doi":"10.1016/b978-0-443-40678-2.00012-x","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/urtc68753.2025.11533059","name":"Digital Twin for Network Energy Consumption","source":"crossref","abstract":"","url":"https://doi.org/10.1109/urtc68753.2025.11533059","authors":["Andy Garcia","Hanshal Chandrashekara Reddy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T19:40:24Z","doi":"10.1109/urtc68753.2025.11533059","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/cepsi66359.2025.11403232","name":"Digital twin for inverter-based power grids","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cepsi66359.2025.11403232","authors":["Thiraphat Likitkumjorn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T20:55:10Z","doi":"10.1109/cepsi66359.2025.11403232","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.26226/m.63285c6cf30377bc3baf9adb","name":"Using 3D Pavement Surveys to Create a Digital Twin of Your Runway or Highway","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.63285c6cf30377bc3baf9adb","authors":["John Laurent","Benoit Petitclerc","Richard Fox-Ivey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-29T08:01:53Z","doi":"10.26226/m.63285c6cf30377bc3baf9adb","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.36227/techrxiv.19681473.v1","name":"Digital Twin Framework For Time To Failure Forecasting Of Wind Turbine Gearbox: A Concept","source":"crossref","abstract":"Wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine is of critical importance. Unexpected failure of wind turbine components can lead to increased O&amp;M costs which ultimately reduces effective power capture of a wind farm. Fault detection in wind turbines is often supplemented with SCADA data available from wind farm operators in the form of time-series format with a 10-minute sample interval. Moreover, time-series analysis and data representation has become a powerful tool to get a deeper understating of the dynamic processes in complex machinery like wind turbine. Wind turbine SCADA data is usually available in form of a multivariate time-series with variables like gearbox oil temperature, gearbox bearing temperature, nacelle temperature, rotor speed and active power produced. In this preprint, we discuss the concept of a digital twin for time to failure forecasting of the wind turbine gearbox where a predictive module continuously gets updated with real-time SCADA data and generates meaningful insights for the wind farm operator.","url":"https://doi.org/10.36227/techrxiv.19681473.v1","authors":["Mili Wadhwani","Sakshi Deshmukh","Harsh S. Dhiman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-02T16:40:26Z","doi":"10.36227/techrxiv.19681473.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5040/9781350170766.ch-5","name":"Twin faces as glitches in algorithmic image cultures","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9781350170766.ch-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-28T11:21:21Z","doi":"10.5040/9781350170766.ch-5","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.20944/preprints202105.0683.v1","name":"Systematic Review of Centrifugal Valving Based on Digital Twin Modelling towards Highly Integrated Lab-on-a-Disc Systems","source":"crossref","abstract":"Current, application-driven trends towards larger-scale integration (LSI) of microfluidic systems for comprehensive assay automation and multiplexing pose significant technological and economical challenges to developers. By virtue of their intrinsic capability for powerful sample preparation, centrifugal systems have attracted significant interest in academia and business since the early 1990s. This review models common, rotationally controlled valving schemes at the heart of such &amp;ldquo;Lab-on-a-Disc&amp;rdquo; (LoaD) platforms to predict critical spin rates and reliability of flow control mainly based on geometries, location and liquid volumes to be processed, and their experimental tolerances. In absence of larger-scale manufacturing facilities during product development, the method presented here facilitates the provision of efficient simulation tools for virtual prototyping and characterization to greatly expedite design optimization according to key performance metrics. This virtual in silico approach thus significantly accelerates, de-risks and lowers costs along the critical advancement from idea, fluidic testing, bioanalytical validation and scale-up to commercial mass manufacture.","url":"https://doi.org/10.20944/preprints202105.0683.v1","authors":["Jens Ducrée"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-28T05:27:02Z","doi":"10.20944/preprints202105.0683.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.6459004","name":"Digital Twin (Dt) Technology For Architecture, Engineering And Construction: A Critical Literature Review","source":"crossref","abstract":"Construction is referred to as the production process of the built environment and it consists of various activities from conception through design to execution. (Ive &amp;amp; Gruneberg, 2000). Because of this, it is common to refer to the industry as Architecture, Engineering and Construction AEC. According to the Mckinsey Global Institute, while productivity in manufacturing, retail and agriculture has grown by as much as 1.500 percent, productivity in AEC has barely increased at all (Mckinsey 2017). Meanwhile, Cette et al 2021 conclude that the employment information and communications technology (ICT) specialists and the use of digital technologies, ceteris paribus, improves a firm's labor productivity by about 23% and its total factor productivity by about 17%. It follows therefore that the implementation of ICT by construction firms should increase their productivity.","url":"https://doi.org/10.2139/ssrn.6459004","authors":["Juan Camilo Lega Barco","Fernando Castelló-Sirvent"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T13:37:17Z","doi":"10.2139/ssrn.6459004","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.4043/29642-ms","name":"Real-Time Cleaning of Time-Series Data for a Floating System Digital Twin","source":"crossref","abstract":"Using accurate and high quality data is critical for any application relying heavily on the data, be it machine learning, artificial intelligence, or digital twins. Bad quality and erroneous data can result in inaccurate predictions even if the model is otherwise robust. Ensuring data quality is more critical in real-time applications where there is no human in the loop to perform sense checks on data or results. A real-time digital twin implementation for a floating system uses time-series data from numerous measurements such as wind, waves, GPS, vessel motions, mooring tensions, draft, etc. Statistics computed from the data are used in the digital twin. An extensive data checking and cleaning routine was written that performs data quality checks and corrections on the time series data before statistics are computed. Various types of errors that typically occur in a time series include noise, flat-lined data, clipped data, outliers, and discontinuities. Statistical procedures were developed to check the raw time-series for all these errors. The procedures are generic and robust so they can be used for different types of data. Some data types are slow varying (e.g., GPS) while the others are fast varying random processes. A measurement classified as an error in one type of data is not necessarily an error in the other data type. For example, GPS data can be discontinuous by nature but a discontinuity in the wave data indicates an error. Likewise, checking for white noise in mooring tension data is not that meaningful. We developed parametric data procedures so that the same routine can handle different types of data and their errors. Outlier removal routines use the standard deviation of the time-series which itself could be biased from errors. Therefore, a method to compute unbiased statistics from the raw data is developed and implemented for robust outlier removal. Extensive testing on years of measured data and on hundreds of data channels was performed to ensure that data cleaning procedures function as intended. Statistics (mean, standard deviations, maximum, and minimum) were computed from both the raw and cleaned data. Comparison showed significant differences in raw and cleaned statistics, with the latter obviously being more accurate. Data cleaning, while not sounding as high tech as other analytics algorithms, is a critical foundation of any data science application. Using cleaned time-series data and corresponding statistics ensure that a data analytics model provides actionable results. Clean data and statistics help achieve the intended purpose of the digital twin, which is to inform operators of the health/condition of the asset and flag any anomalous events.","url":"https://doi.org/10.4043/29642-ms","authors":["Puneet Agarwal","Scot McNeill"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-04-24T01:11:08Z","doi":"10.4043/29642-ms","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/swc57546.2023.10448955","name":"A software engineering perspective on digital twin: many candidates, none elected.","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc57546.2023.10448955","authors":["Antoine Beugnard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-01T18:31:15Z","doi":"10.1109/swc57546.2023.10448955","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.4043/29231-ms","name":"Digital Twin Technology in the Field Reclaims Offshore Resources","source":"crossref","abstract":"Abstract For decades, upstream personnel have struggled to efficiently gather offshore data and effectively analyze it to make better business decisions. One internal audit conducted by an oil and gas company found its upstream employees spent up to 80 percent of their time just looking for, then converting the data because the data historically has not been housed in one place within one platform. Traditionally, employees must collect large volumes of information from multiple data sources, including spreadsheets, data streams or tacit knowledge. Alone, the Internet of Things (IoT) sensors connected to equipment in the field can send 1,000 readings a minute to engineers, resulting in an insurmountable data for engineers to assess critically. All of this effort results in underutilized time and loss of money. The paper's topic addresses the digital twin technology solution which solves energy company's Big Data problems and recoups the wasted time and associated costs of field workers looking for data. Specifically, FutureOn's FieldTwin technology offers a cloud-based, comprehensive and secure platform with the ability to break up the barriers of the data silos built by legacy systems, creating accessible data across the company. Employees spend less time searching for data, and more time identifying trends and innovative ways to exploit the data, i.e., smarter drilling, greater field automation or improved safety. FieldTwin technology also provides a real-time, data-driven visual representation of the field that creates actionable data, whether it is an operator using the visualization of its subsea assets for field expansions or a renewable company utilizing the digitalization of its offshore wind projects for more effective planning. Studies show humans respond to and process visual data better than any other type of data. The human brain processing images 60,000 times faster than text, and 90 percent of information transmitted to the brain is visual. FieldTwin exploits this reality to enhance data processing and organizational effectiveness spanning project management to risk management in the field.","url":"https://doi.org/10.4043/29231-ms","authors":["Thornton Brewer","Darrell Knight","Gautier Noiray","Harit Naik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-04-24T01:09:37Z","doi":"10.4043/29231-ms","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5194/egusphere-egu26-17698","name":"Advancing the EO-based Geohazard Digital Twin from Prototype to Pre-operational Platform","source":"crossref","abstract":"The GET-it project (Geohazards Early Digital Twin Component) is devoted to build a Digital Twin for geohazards in the framework of the ESA Early Digital Twin Component (DTC) programme. The Geohazard Digital Twin is transitioning from a demonstration prototype to a shareable, pre-operational Earth Observation (EO)-based service platform. This transition has been initiated through the integration of the GET-it scenario modules within the Geohazards TEP (https://geohazards-tep.eu), a long-standing operational platform developed under ESA, and will continue through their future integration and federation with the Destination Earth (DestinE) framework. The project explores how EO data can effectively drive DTCs for volcanic and seismic geohazards within the Destination Earth framework.The Geohazard DTC developed in GET-it is designed as a modular and customizable environment, capable of integrating multi-sensor EO data, primarily from the Copernicus programme, with established physical models and EO-driven analysis tools. The adoption of standardized input and output formats ensures interoperability and facilitates the uptake of DTC products by diverse user communities with different operational needs. These characteristics enable repeatable, timely EO-driven simulations and facilitate the integration of the Geohazard DTC into downstream pre-operational workflows.The current prototype includes several scenario modules operating at increasing levels of EO data exploitation: GEOMOD, for modelling EO-derived geodetic signals; FALL3D, for volcanic ash and SO₂ dispersion constrained by EO observations; GPUFLOW, for lava flow modelling based on EO-derived effusion rates and topography; and DAMSAT, for EO-based change and damage detection. Together, these modules act as building blocks for pre-operational services, empowering stakeholders to explore realistic emergency scenarios and assess potential mitigation and adaptation strategies. A central aspect of GET-it is the systematic integration of stakeholder requirements into the DTC design. A structured engagement process, based on questionnaires and direct interactions, involved a broad range of public and private stakeholders, including civil protection authorities, aviation and transport stakeholders, infrastructure managers, insurance companies, energy providers, and decision-makers. All the scenario models were considered relevant, with FALL3D emerging as the most requested service. The collected feedback directly informed the definition of the scenario modules and the organization of a dedicated Demonstration Day, focused on the validation of EO-driven what-if scenarios.The Geohazard DTC has been demonstrated through representative multi-hazard use cases, including the 2018 Mount Etna eruption, the 2021 La Palma eruption, and the 2016 Central Italy earthquake sequence. Based on these activities, a medium- to long-term roadmap is being defined, focusing on enhanced EO-driven simulations, advanced decision-support tools, interoperable visualization interfaces, scalable services, and extension to additional geohazards, in alignment with other DTC initiatives and community-building actions. This roadmap aims to consolidate the Geohazard DTC as a sustainable pre-operational platform, ready for future operational uptake.","url":"https://doi.org/10.5194/egusphere-egu26-17698","authors":["Gaetana Ganci","Salvatore Stramondo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T03:51:51Z","doi":"10.5194/egusphere-egu26-17698","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003686736-8","name":"Conclusions and Future Directions","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003686736-8","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T14:49:34Z","doi":"10.1201/9781003686736-8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1108/ilt-09-2025-0400/v1/review1","name":"Review for \"Floorless Closed-Loop Microdosing for Rail Friction: A Physics-Only Digital Twin on Kuwait City’s Blue Corridor\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-09-2025-0400/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-26T08:32:08Z","doi":"10.1108/ilt-09-2025-0400/v1/review1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2118/200728-ms","name":"The Digitalization Journey of the Brage Digital Twin","source":"crossref","abstract":"Abstract Digital transformation of existing processes using technologies such as big data, advanced data analytics, machine learning, automation and cloud computing will enable continuous performance improvements within the operational sphere. The application of the technology will link the physical and digital world, providing a digital model of physical assets and processes. It will represent the evergreen, wholly integrated digital asset model - from reservoir to export pipeline. The Brage operations team identified processes with the highest potential for digital transformations during an initial opportunity framing workshop. Based on pain points and business needs, the clear emphasis is in the areas of production &amp; well performance optimization, high-spec live-data visualization, as well as the entire flow of information from database integration up to dashboarding. Strong reliance on an improved data infrastructure and IT/OT performance will require close cooperation with the IT/OT team. New solutions will be aligned with and integrated into already identified global solutions. The improved acquisition of data, together with the integration of already existing ‘Digital Twin’ technologies will enable the first redesign of work processes. Prioritization of processes to be transformed will be mandated by their business impact as well as possibility to scale to other Wintershall Dea assets too. Focus areas, such as Slugging, Digital Production Engineer, Intelligent Maintenance, Dashboarding and Planning/Scheduling, were defined as more and more ideas evolved. Individual processes such as water injection and scaling surveillance were made more time efficient and transparent. The vision is to bring all processes together into a customizable and collaborative dashboarding solution. Intended completion of the first phase is Q4 2019. The following phase will be the execution of a larger scoped technology implementation that will be defined in detail by then.","url":"https://doi.org/10.2118/200728-ms","authors":["Peter Kronberger","Peter Dabrowski","Joel Chacon","Patrick Bangert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-28T21:10:39Z","doi":"10.2118/200728-ms","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.5641463","name":"Toward a Digital Twin for Nuclear Reactors: Data Assimilation in Thermal-Hydraulics using EnKF","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5641463","authors":["Lanxin Gong","Changhong PENG","Qingyu Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-22T12:50:45Z","doi":"10.2139/ssrn.5641463","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.3390/systems14040417","name":"A Federated Digital Twin Framework for Consumer Wellbeing Systems","source":"openalex","abstract":"Consumer wellbeing systems are characterized by conceptual fragmentation, heterogeneous data sources, and multilevel interactions across economic, psychological, social, and environmental domains. Existing monitoring approaches remain largely unidimensional and lack integrative system architectures capable of supporting real-time, adaptive analysis. This paper proposes a Federated Digital Twin (FDT) framework for Consumer Wellbeing Systems, designed to integrate decentralized, multimodal data while preserving autonomy and privacy. The proposed architecture builds on a five-dimensional digital twin model and extends it through federated interoperability, data fusion, adaptive learning, simulation capabilities, and human-in-the-loop mechanisms. The framework enables the synchronization of observed, self-reported, contextual, and synthetic data across distributed environments, supporting system-level modeling, prediction, and optimization. As an illustrative application, the paper examines Shopping Wellbeing and Shopping–Life Balance as sub-systems within broader wellbeing ecosystems, demonstrating how federated digital twins can unify fragmented theoretical constructs into a coherent, dynamic monitoring structure. The study contributes a system-oriented conceptual architecture for modeling complex human-centric wellbeing ecosystems and outlines implications for systems design, governance, and future interdisciplinary research.","url":"https://doi.org/10.3390/systems14040417","authors":["Matti Rachamim","Jacob Hornik"],"tags":["Computer science","Autonomy","Conceptual framework","Architecture","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-09","doi":"10.3390/systems14040417","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.53106/199115992023043402014","name":"A Real-Time Monitoring and Diagnosis Method of Production Line Conveyor Chain for Digital Twin","source":"crossref","abstract":"&lt;p&gt;Aiming at the widely used digital production line and facing the digital twinning technology, this paper proposes a real-time monitoring and diagnosis method of the transmission chain status of the production line based on the digital twinning. First of all, the failure and failure mechanism of the conveyor chain is studied, and then a real-time data monitoring method is proposed according to the failure mechanism. On this basis, a data processing and analysis model oriented to the digital twin model is constructed. Then, artificial intelligence algorithm is incorporated into the model to improve the ability of the twin model to independently judge the failure and failure of the conveyor chain. Finally, the feasibility and efficiency of the proposed method are verified by experiments. The accuracy rate of fault diagnosis reaches 98.02%.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;","url":"https://doi.org/10.53106/199115992023043402014","authors":["Bo Liu Bo Liu","Ying-Ming Shi Bo Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-02T02:49:53Z","doi":"10.53106/199115992023043402014","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.20378/irb-49882","name":"Virtual terrestrial laser scanner simulator in digital twin environment","source":"crossref","abstract":"","url":"https://doi.org/10.20378/irb-49882","authors":["Darius Popovas","Maria Chizhova","Denys Gorkovchuk","Julia Gorkovchuk","Mona Hess","Thomas Luhmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T06:20:36Z","doi":"10.20378/irb-49882","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-981-95-8236-5_1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8236-5_1","authors":["Shimin Liu","Pai Zheng","Jinsong Bao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-12T22:29:09Z","doi":"10.1007/978-981-95-8236-5_1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.6384609","name":"Digital Twin-based Endurance Prediction and Health Monitoring for Heterogeneous Mobile Manipulator","source":"crossref","abstract":"Digital Twin (DT) has been increasingly implemented to improve reliability, transparency, and decision-making in industrial robotics. The MObile MAnipulator (MOMA), which combines an autonomous mobile robot with a collaborative manipulator, provides high mobility and manipulability to meet the growing demand for flexibility and agility in intelligent manufacturing. Although the heterogeneous robots in MOMA perform different functions, they are driven by a shared energy source. Therefore, the Prognostics and Health Management (PHM) of MOMA remains challenging, stemming not only from the coupled dynamics of navigation-manipulation functions but also from the heterogeneity of sensing modalities involved. To address these challenges, this paper proposes a DT-based endurance prediction and health monitoring approach for heterogeneous MOMA. First, a systematic architecture, including the physical layer, DT layer, machine learning layer, and dashboard layer, is proposed, and the intra- and inter-layer data flows are defined in detail. Subsequently, a continuous bidirectional telemetry data pipeline is established to consolidate heterogeneous real-time data from the physical MOMA and maintain data synchronization between physical and virtual spaces. A data-driven prediction method based on the CatBoost model is employed to provide remaining useful cycle estimates, enabling mission-level endurance assessment. Furthermore, a virtual reality-assisted health monitoring dashboard is developed to support human-in-the-loop execution supervision and reactive control for MOMA operations. Finally, the proposed approach is experimentally validated with a MOMA in the laboratory. The results demonstrate the proposed framework is a practical solution for MOMA PHM in intelligent manufacturing.","url":"https://doi.org/10.2139/ssrn.6384609","authors":["Yunhan Zhang","Xiaolang Yang","khurshid Aliev","Dario Antonelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T09:38:22Z","doi":"10.2139/ssrn.6384609","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.70675/3fc4446dz95e4z49dczb028zd0c90610d712","name":"Data structuring of a digital twin to reconcile real and simulated models - Case study : Energy model of a building","source":"crossref","abstract":"Structuration de données d’un Jumeau numérique pour réconcilier les modèles réels et simulés – Cas d’étude : Modèle Energétique d’un bâtiment Cette thèse présente une recherche pionnière axée sur l'amélioration des systèmes de gestion de l'énergie des bâtiments (BEMS) grâce à l'intégration de méthodes avancées d'interopérabilité des données et de la technologie de jumeau numérique (DT). La recherche est motivée par le besoin crucial d'améliorer l'efficacité énergétique et la durabilité dans l'environnement bâti, en abordant les défis complexes posés par les sources de données hétérogènes et l'absence de plateformes standardisées pour une gestion efficace de l'énergie.La thèse centrale de cette recherche est le développement d'un cadre de jumeau numérique sémantique (SDT) pour les BEMS, qui utilise les technologies du web sémantique et les ontologies pour assurer une intégration fluide des données et une réflexion en temps réel des opérations des bâtiments. Le cadre aborde les problèmes fondamentaux de l'hétérogénéité des données et de l'interopérabilité en employant une approche unifiée de standardisation des métadonnées et un cadre DT évolutif et modulaire adaptable à divers types de bâtiments et systèmes.La méthodologie de recherche est structurée autour d'une analyse approfondie des méthodes de pointe, de l'identification des lacunes dans les technologies existantes et du développement itératif et de l'affinement des cadres, méthodologies et modèles. L'analyse théorique, les tests de simulation et les évaluations par études de cas sont utilisés pour évaluer les bases conceptuelles, l'efficacité et la praticité des solutions proposées.Les innovations clés de cette recherche incluent l'application de la génération augmentée par récupération (RAG) pour les grands modèles de langage (LLM) afin d'automatiser et d'améliorer le processus de classification des points de données BMS, la formulation d'un cadre de standardisation des métadonnées basé sur l'ontologie Brick, et l'introduction d'un cadre pour l'interopérabilité des données hétérogènes utilisant les technologies du web sémantique. Ces contributions aboutissent à un cadre de jumeau numérique standardisé offrant une plateforme cohérente pour modéliser, simuler et prédire la performance des systèmes de bâtiments.Les résultats de cette recherche devraient contribuer de manière substantielle à la base de connaissances existante en améliorant l'intégration et la fonctionnalité des BEMS. Plus précisément, la recherche vise à améliorer la précision, l'efficacité et la convivialité des BEMS, faisant ainsi progresser les aspects théoriques et pratiques de la gestion des bâtiments et de la conservation de l'énergie. Les solutions proposées ont été validées par des évaluations empiriques, démontrant des améliorations significatives en termes d'efficacité énergétique, de performance opérationnelle et d'efficacité de la prise de décision dans l'environnement bâti.Cette thèse conclut par une discussion sur les implications des solutions proposées, mettant en avant le potentiel des systèmes de gestion des bâtiments autonomes, réactifs et économes en énergie. Elle fournit également des recommandations pour les recherches et applications futures, ouvrant une voie prometteuse pour l'évolution des pratiques de construction intelligentes et durables.","url":"https://doi.org/10.70675/3fc4446dz95e4z49dczb028zd0c90610d712","authors":["Zhiyu Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T23:04:35Z","doi":"10.70675/3fc4446dz95e4z49dczb028zd0c90610d712","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.20944/preprints202306.1073.v1","name":"Digital Twin Development for the Airspace of the Future","source":"crossref","abstract":"The UK aviation industry is committed to achieving net zero emissions by 2050 through sustainable measures, and one of the key aspects of this effort is the implementation of Unmanned Traffic Management (UTM) systems. These UTM systems play a crucial role in enabling the safe and efficient integration of unmanned aerial vehicles (UAVs) into the airspace. As part of the Airspace of the Future (AoF) project, the development and implementation of UTM services have been prioritized. The paper aims to create an environment where routine drone services can operate safely and effectively. To facilitate this, a digital twin of the National Beyond Visual Line of Sight Experimentation Corridor has been created. This digital twin serves as a virtual replica of the corridor and allows for the synthetic testing of unmanned traffic management concepts. The implementation of the digital twin involves both simulated and hybrid flights with real drones. Simulated flights allow for the testing and refinement of UTM services in a controlled environment. Hybrid flights, on the other hand, involve the integration of real drones into the airspace to assess their performance and compatibility with the UTM systems. By leveraging the capabilities of UTM systems and utilizing the digital twin for testing, the AoF project aims to advance the development of safer and more efficient drone operations. Experimentation Corridor has been developed to simulate and test concepts related to managing unmanned traffic. The paper provides a detailed account of the implementation of the digital twin for the AoF project, including simulated and hybrid flights involving real drones.","url":"https://doi.org/10.20944/preprints202306.1073.v1","authors":["Toufik Souanef","Saba Al-Rubaye","Antonios Tsourdos","Samuel Ayo","Dimitrios Panagiotakoupoulos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-16T00:11:37Z","doi":"10.20944/preprints202306.1073.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1515/9780691223407-toc","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-toc","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-toc","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.7316019","name":"ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations","source":"openalex","abstract":"Digital twin simulations show promise, but current empirical evidence suggests that the approach should be tested before being deployed in any particular context. To lower the friction for researchers and practitioners to test and deploy digital twin simulations, this brief commentary introduces \\href{https://exploratwin.org}{ExploraTwin}, an open-access, non-profit research platform for digital twin survey simulations. ExploraTwin supports two modes. In survey mode, researchers can upload a Qualtrics survey file or create a survey within the platform; select an available sample of digital twins; configure and run the simulation, and export analysis-ready data. In panel mode, researchers can assemble a small group of twins for open-ended conversations, document annotation, and moderated, focus-group-style voice discussions. We also developed CroissantTwin, a standardized data format for adding samples of digital twins to the platform. We demonstrate the survey mode workflow by using the platform to replicate 19 experiments on digital twins from the Twin-2K-500 dataset. ExploraTwin's survey execution fidelity is high: 99.6\\% of 197,000 answer units returned a structurally valid response on the first run.","url":"https://doi.org/10.2139/ssrn.7316019","authors":["Naveen Venkatanarayanan","Yuchen Qiu","Tianyi Peng","George Gui","Olivier Toubia"],"tags":["Upload","Computer science","Workflow","Fidelity","Replicate"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"10.2139/ssrn.7316019","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.mechatronics.2022.102833","name":"Control framework for collaborative robot using imitation learning-based teleoperation from human digital twin to robot digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.mechatronics.2022.102833","authors":["Hyunsoo Lee","Seong Dae Kim","Mohammad Aman Ullah Al Amin"],"tags":["Robot","Teleoperation","Human–robot interaction","Artificial intelligence","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-24","doi":"10.1016/j.mechatronics.2022.102833","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"doi:10.5220/0012123100003546","name":"Towards a Digital Twin Simulation for Cycle Times Analysis in a Cyber-Physical Production System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012123100003546","authors":["Vinicius Barbosa","Rui Pinto","João Pinheiro","Gil Gonçalves","Anabela Ribeiro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-14T08:36:50Z","doi":"10.5220/0012123100003546","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5220/0014301700004728","name":"MeDiTwin: A Platform for a Secure Medical Digital Twin for Data Sharing and Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014301700004728","authors":["Salmah Ahmad","Bianca Bartelt","Matthias Enzmann","Jörn Kohlhammer","Stefan Wesarg","Ruben Wolf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T23:03:56Z","doi":"10.5220/0014301700004728","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00025-3","name":"Transforming healthcare with blockchain and digital twins: innovations in IoMT for smart hospitals","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00025-3","authors":["Swati Arya","Shruti Aggarwal","Syed Anas Ansar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:59:49Z","doi":"10.1016/b978-0-443-34226-4.00025-3","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003655190-2","name":"Digital Twins in the Era of IoT and AI","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003655190-2","authors":["Megha Singh","Amit Kumar Tyagi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T10:56:20Z","doi":"10.1201/9781003655190-2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/swc62898.2024.00328","name":"Neuro-Humanoid-Twin: Empowering Neurodiversity in Teams and at the Workplace Through Digital Twins and Digital Human Models","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00328","authors":["Mareike V. Keil","Oliver Bleisinger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00328","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1201/9781003469612-3","name":"Real Issues, Opportunities, and Open Investigations in Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-3","authors":["V. Sheeja Kumari","T. Manikandan","M.J. Carmel Mary Belinda","A. Selva Kumar","K. Prabu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-3","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1002/masy.202300176","name":"Digital Twin in SMEs: Implementing Advanced Digital Technologies for Engineering Advancements","source":"crossref","abstract":"Abstract The integration of Digital Twin technology in small and medium‐sized enterprises (SMEs) has brought forth a transformative paradigm in engineering practices. This paper presents a comprehensive overview of the use of Digital Twin in SMEs and its implementation of advanced digital technologies in an engineering context. The paper highlights key benefits, such as the ability to simulate, analyze, and predict the behavior of products or processes before their physical instantiation. By leveraging advanced modeling and simulation techniques, SMEs can efficiently explore multiple design iterations, identify potential issues, and optimize engineering solutions without costly physical prototyping. Furthermore, the paper discusses integrating other advanced digital technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), with Digital Twin to create intelligent and interconnected systems. The implementation of Digital Twin technology in SMEs extends beyond product design to encompass various aspects of the product lifecycle, fostering efficiency, accuracy, and innovation. However, challenges such as data integration, cybersecurity, and skill requirements are addressed. With proper planning and investment, SMEs can unlock the full potential of Digital Twin technology to gain a competitive edge in the dynamic engineering domain. In conclusion, this paper demonstrates that the use of Digital Twin in SMEs and its integration with advanced digital technologies revolutionizes engineering practices. By offering virtual representations of physical assets and processes, Digital Twin enables SMEs to make informed decisions, optimize performance, and drive innovation. As the technology evolves, it becomes an indispensable tool for SMEs seeking to thrive in the ever‐evolving engineering landscape.","url":"https://doi.org/10.1002/masy.202300176","authors":["Alfonso Marino","Paolo Pariso","Michele Picariello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-22T03:07:01Z","doi":"10.1002/masy.202300176","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.55248/gengpi.07.0426.d1022","name":"Digital Twin of Human Lifestyle: A Deep Learning Framework for Simulating Personal Health and Financial Trajectories","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.07.0426.d1022","authors":["Abhishek M Aradhyamath","Nayana K"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-03T08:08:23Z","doi":"10.55248/gengpi.07.0426.d1022","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.46354/i3m.2023.emss.016","name":"Comparative Analysis of Digital Twin and Cyber-Physical System Concepts","source":"crossref","abstract":"","url":"https://doi.org/10.46354/i3m.2023.emss.016","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-29T09:08:04Z","doi":"10.46354/i3m.2023.emss.016","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.32388/j9l0qn","name":"Review of: \"Next-Generation Space Cardiology: Developing a COMSOL-Enabled Digital Heart Twin for Long-Duration Missions\"","source":"crossref","abstract":"","url":"https://doi.org/10.32388/j9l0qn","authors":["Amadeo José Argüelles-Cruz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-12T04:23:47Z","doi":"10.32388/j9l0qn","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.21956/digitaltwin.18764.r26837","name":"Peer Review Report For: Digital twin-driven complexity management in intelligent manufacturing [version 1; peer review: 2 approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.18764.r26837","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T03:02:32Z","doi":"10.21956/digitaltwin.18764.r26837","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1515/9780691223407-016","name":"References","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-016","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-016","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.21203/rs.3.rs-9569960/v1","name":"A Multi-Layer Digital Twin Framework for Enhanced Production Resilience in Railcar Manufacturing","source":"europepmc","abstract":"Abstract As the manufacturing industry transitions toward Industry 5.0, there is an urgent need for resilient, human-centric production systems, particularly in large-scale sectors like railcar manufacturing. This paper proposes a multi-layer Digital Twin (DT) implementation framework designed to synchronize physical assets, information flows, and virtual models in a closed-loop architecture. The framework addresses the specific complexities of railcar assembly, such as high-precision robotic welding and interdependent logistics. To validate the approach, a case study of a robotic underframe welding cell was implemented using AnyLogic simulation. Results demonstrate that the DT-enabled system can predict bottlenecks two hours in advance and suggest resource reallocation, recovering 85% of throughput capacity during robotic degradation events. The study contributes a systematic nine-step pathway for DT deployment, providing a foundation for digital transformation and operational resilience in the rail industry.","url":"https://doi.org/10.21203/rs.3.rs-9569960/v1","authors":["Herman Messie","Tshifhiwa Nenzhelele","Dakalo Malada"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9569960/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-2110194/v1","name":"Automatic MTM-Transcription in Virtual Reality Using the Digital Twin of a Workplace","source":"crossref","abstract":"Abstract Despite the high level of automation in industrial production, manual operations still play an important role and contribute significantly to the overall production costs. For the evaluation of these manual processes the ``Methods-Time Measurement'' (MTM) is widely used. This method is applied to real workplaces or mock-ups thereof, while also Virtual Reality (VR) can be used for the representation of such workplaces. However, the evaluation of the workers' performed actions is still done manually, which is a time-consuming and error-prone process. This paper introduces an approach to automatically detect full-body actions of users in VR and consequently derive the appropriate MTM values, without knowledge of a pre-existing workplan. The detection algorithm that was developed is explained in detail and its performance is analyzed through a user study with 30 participants.","url":"https://doi.org/10.21203/rs.3.rs-2110194/v1","authors":["Emmanouil Andreopoulos","Valentina Gorobets","Andreas Kunz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-20T17:45:22Z","doi":"10.21203/rs.3.rs-2110194/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5821/dissertation-2117-446579","name":"Reduced order models and machine learning techniques for digital twin applications","source":"crossref","abstract":"(English) This thesis advances intrusive projection-based reduced order modeling (PROM) as a scalable, physics-consistent foundation for real-time digital twins in industrial applications. By integrating high-fidelity numerical methods with robust model reduction techniques, it addresses the computational bottlenecks limiting the deployment of large-scale simulations for design, optimization, and operational monitoring. Structured as a compendium of peer-reviewed articles, the work presents three key methodological contributions. First, it introduces a novel hyper-reduction framework for Petrov–Galerkin PROMs that eliminates the need for complementary meshes, enabling element-wise sampling fully compatible with standard finite element workflows, such as Kratos Multiphysics. Second, it proposes a scalable, HPC-enabled workflow for PROM training and deployment, leveraging parallel snapshot generation, distributed singular value decomposition, and a parallel version of the empirical cubature method, demonstrated on an industrial thermal digital twin of an electric motor. Third, it extends PROM methodologies into nonlinear regimes using latent-space closure strategies, including PROM-ANN and interpretable kernel-based surrogates (PROM-GPR, PROM-RBF), to overcome the Kolmogorov n-width barrier in convection-dominated flows. This extension includes a discrete physics-informed training strategy aligning neural network-based manifolds with the residual behavior of the underlying numerical scheme, ensuring physical consistency. The developed methods are systematically validated on canonical model problems such as the inviscid one-dimensional Burgers' equation, and extended to industrial configurations like the Ahmed body wake flow using the AERO-F framework. Classical techniques, including piecewise-linear and quadratic manifolds, are also discussed to contextualize the limitations of global linear subspaces and motivate the nonlinear strategies presented. All contributions have been implemented in the Kratos Multiphysics and AERO-F open-source frameworks, highlighting their practical applicability for large-scale engineering workflows. While this thesis does not implement a closed-loop digital twin, it provides a robust foundation for future Component Twins and Asset Twins, bridging high-fidelity modeling and real-time predictive capabilities. Lastly, this thesis supports technology transfer through the SimTwins spin-off initiative, delivering scalable and open-source digital shadows and digital twins tailored to meet emerging Industry 4.0 and 5.0 demands. Collectively, these contributions position intrusive projection-based ROMs as robust, interpretable, and high-performance tools essential for next-generation digital twin ecosystems. (Català) Aquesta tesi desenvolupa els models d’ordre reduït intrusius basats en projecció (PROM) com a base escalable i amb consistència física per habilitar bessons digitals industrials amb operació en temps real. En integrar mètodes numèrics d’alta fidelitat amb tècniques sòlides de reducció de models, aborda els colls d’ampolla computacionals que dificulten el desplegament de simulacions a gran escala per a disseny, optimització i monitoratge de l’operació. Estructurada com un compendi d’articles revisats per parells, la tesi presenta tres contribucions metodològiques principals. En primer lloc, es proposa un marc d’hiperreducció per a PROM de Petrov–Galerkin que elimina la necessitat de malles complementàries i permet un mostreig a nivell d’element plenament compatible amb els fluxos de treball estàndard d’elements finits (per exemple, Kratos Multiphysics). En segon lloc, es planteja un flux de treball escalable habilitat per a la computació d’alt rendiment (HPC) per a l’entrenament i el desplegament de PROM, que aprofita la generació paral·lela d’instantànies (snapshots), la descomposició en valors singulars (SVD) distribuïda i una versió paral·lela del mètode de cubatura empírica (ECM), demostrada","url":"https://doi.org/10.5821/dissertation-2117-446579","authors":["Sebastian Ares de Parga Regalado"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T07:27:39Z","doi":"10.5821/dissertation-2117-446579","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.64898/2026.05.15.26353296","name":"A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation","source":"europepmc","abstract":"A bstract Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patient turnover, heterogeneous patient–staff contact patterns, antibiotic-driven within-host selection, and imperfect surveillance. We present a hospital AMR digital twin that combines mechanistic simulation with temporal graph learning to forecast resistance emergence from evolving daily contact networks and enable support intervention planning. Our approach is twofold: graph neural networks and transformers to model predictions and mathematical programming optimization to provide decision support. The main predictive task asks whether future spread of resistant infections is more likely to be driven by endogenous hospital transmission and selection or from importation on admission. We evaluated this task under both fully observed and partially observed settings, using baseline benchmarks together with ablations, surveillance perturbations, and distribution-shift stress tests. Under canonical conditions, the model achieved very strong predictive performance, especially when ground-truth system states were available, and remained informative under partial observation. Ablations showed that contact-weight information was relatively robust, whereas compressed node-feature representations weakened performance more noticeably when observations were incomplete. Surveillance stress tests further showed that delayed or less frequent reporting can be tolerated in some settings, but threshold calibration becomes fragile under more severe observation changes. Across broader epidemiological and surveillance shifts, the ground-truth model generally preserved strong ranking ability, while partial-observation performance was less stable. When models were trained directly in the shifted regime, performance improved compared with zero-shot transfer, indicating that the digital twin can adapt to new and previously unseen operating conditions but that portability across regimes can improve, particularly when only partial surveillance data are available. We also evaluated intervention-conditioned forecasting by branching hospital states into a small library of screening and isolation policies under a shock-and-superspreader regime. The learned models supported useful within-state action ranking and frequently identified policies that improved on the baseline containment protocols or avoided worsening outcomes. The same digital twin can also support constrained intervention selection, although reliable deployment will require careful calibration, improved robustness under partial observation, and broader policy libraries.","url":"https://doi.org/10.64898/2026.05.15.26353296","authors":["Charalampos P. Triantafyllidis","Ricardo Aguas"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.15.26353296","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.20944/preprints202105.0683.v2","name":"Systematic Review of Centrifugal Valving Based on Digital Twin Modelling towards Highly Integrated Lab-on-a-Disc Systems","source":"preprints","abstract":"Current, application-driven trends towards larger-scale integration (LSI) of microfluidic systems for comprehensive assay automation and multiplexing pose significant technological and economical challenges to developers. By virtue of their intrinsic capability for powerful sample preparation, centrifugal systems have attracted significant interest in academia and business since the early 1990s. This review models common, rotationally controlled valving schemes at the heart of such &amp;ldquo;Lab-on-a-Disc&amp;rdquo; (LoaD) platforms to predict critical spin rates and reliability of flow control mainly based on geometries, location and liquid volumes to be processed, and their experimental tolerances. In absence of larger-scale manufacturing facilities during product development, the method presented here facilitates the provision of efficient simulation tools for virtual prototyping and characterization to greatly expedite design optimization according to key performance metrics. This virtual in silico approach thus significantly accelerates, de-risks and lowers costs along the critical advancement from idea, fluidic testing, bioanalytical validation and scale-up to commercial mass manufacture.","url":"https://doi.org/10.20944/preprints202105.0683.v2","authors":["Jens Ducrée"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202105.0683.v2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.5194/egusphere-egu26-6783","name":"AI-Powered Digital Twin Framework for Windstorm Emergency Management in Interconnected Critical Infrastructures","source":"crossref","abstract":"Extreme windstorms pose significant risks to interconnected critical infrastructures such as power, transportation, and telecommunication systems. Wind-induced damage to physical assets, including overhead lines and roadside vegetation, can trigger cascading failures across interdependent networks, leading to widespread service disruptions and societal impacts. Anticipating these cascading effects under uncertain and evolving windstorm conditions remains a major challenge for emergency and crisis management.An AI-powered Digital Twin (DT) framework for windstorm emergency management is introduced in this presentation, focusing on interconnected critical infrastructures exposed to extreme wind hazards. The framework integrates physics-based windstorm simulation with cascading impact analysis within a unified digital environment, enabling systematic assessment of the interconnected infrastructure performance across a wide range of plausible windstorm scenarios. Rather than relying solely on historical events, physically informed models are used to generate synthetic windstorm scenarios that support preparedness planning and stress-testing under future extreme conditions.Building on ensembles of simulated windstorm scenarios, the framework can incorporate Generative AI (GenAI) techniques as a post-simulation analytical layer for vulnerability and risk analysis. GenAI operates on the outputs of physics-based simulations, learning asset-level and system-level operational behaviors and vulnerability patterns from simulated impacts, rather than replacing the underlying hazard or infrastructure models. In this role, GenAI captures complex and nonlinear relationships between wind event characteristics and cascading infrastructure failures, enabling efficient synthesis and generalization across large scenario ensembles. This hybrid physics–AI approach supports rapid and accurate identification of vulnerable assets across interconnected infrastructures, spatial hotspots of risk, and conditions that may lead to cascading disruptions under future windstorm scenarios, while preserving the physical consistency of the Digital Twin.The applicability of the proposed framework is demonstrated through representative case studies involving national-scale interconnected power, telecommunication, and transportation infrastructures in Cyprus, serving as an example implementation. The results illustrate how the AI-powered Digital Twin can support emergency and crisis management at a national level by enabling stress-testing of infrastructure systems, identification of highly vulnerable and critical assets in the Cyprus interconnected infrastructure, improving situational awareness on critical wind-induced cascading risks, and informing response and recovery strategies under severe windstorm conditions.Overall, this work highlights the potential of hybrid physics-based and AI-enhanced Digital Twins as decision-support tools for windstorm emergency management in interconnected critical infrastructures, providing a flexible and extensible foundation for improving resilience to climate-driven hazards.","url":"https://doi.org/10.5194/egusphere-egu26-6783","authors":["Balaji Venkateswaran Venkatasubramanian","Christos Laoudias","Mathaios Panteli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T21:58:36Z","doi":"10.5194/egusphere-egu26-6783","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00369","name":"Simulation of Vibration Model For On-Board Vehicle Equipment Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00369","authors":["Junguo Jia","Menglong Xu","Abdul Hadi Hanan","Bin Chen","Hao Bian","Jun Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T17:27:38Z","doi":"10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00369","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1049/pbhe046e","name":"Digital Twin Technologies for Healthcare 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.7174534","name":"A Physics-Informed Data-Driven Method for Aeroengine Performance Digital Twin Modeling","source":"crossref","abstract":"Aeroengine performance digital twin modeling requires rapid and reliable estimation of gas-path thermodynamic states. However, onboard sensors usually provide only limited measurements, which cannot fully capture the complete thermodynamic states across internal engine stations. To address this limitation, this study proposes a Physics-Informed Data-Driven Performance Digital Twin method (PIDD-PDT) for aeroengine internal gas-path state estimation. The proposed method integrates the physical interpretability and station-parameter generation capability of physics-based performance models with the fast nonlinear approximation capability of neural networks. First, a physics-based performance model is used to generate station-parameter data under in-service flight conditions. Subsequently, a Physics-Structured Multi-Network (PSMN) model is constructed based on the generated state dataset to enable rapid estimation of internal engine station states. Finally, a bias-correction mechanism is introduced, in which real on-wing operational data are utilized to calibrate the PSMN model, resulting in a corrected PSMN model that effectively reduces the prediction error. Results show that the PSMN model achieves an average Mean Absolute Relative Error (MARE) of 0.4198%. After bias correction, the corrected PSMN model achieves an average MARE of 0.3684%, with a single-sample prediction time of 0.8895 ms. These results indicate that the proposed method enables rapid and accurate internal gas-path state estimation and can support performance digital twin modeling of aeroengines.","url":"https://doi.org/10.2139/ssrn.7174534","authors":["Guangzheng Zhou","Jianzhong Sun","Pengfei Tang","Delong Yin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T14:42:13Z","doi":"10.2139/ssrn.7174534","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1002/9781394383740","name":"Ensuring Privacy in Digital Twin Ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.54861/27131211_2026_2_449","name":"ИНТЕЛЛЕКТУАЛЬНЫЙ ЦИФРОВОЙ ДВОЙНИК КАК ИНСТРУМЕНТ ЦИФРОВОЙ ТРАНСФОРМАЦИИ СЕРВИСНЫХ КОМПАНИЙ","source":"crossref","abstract":"Целью статьи является обоснование методологических основ формирования и реализации организационно-экономического механизма цифровой трансформации компаний сферы ИТ-услуг на базе архитектуры интеллектуального цифрового двойника (ИЦД). Методологическую основу исследования составили системный анализ, методы имитационного моделирования и архитектурный фреймворк Platform Stack консорциума Digital Twin Consortium (DTC). В рамках настоящего исследования проведен сравнительный анализ и представлено детальное описание архитектурного базиса цифрового двойника организации, наиболее релевантного специфике сервисных компаний, в частности сферы ИТ-услуг. Научная новизна работы заключается в обосновании многоуровневой целевой архитектуры ИЦД организаций сферы ИТ-услуг, которая, в отличие от существующих подходов, учитывает специфику управления нематериальными активами и динамический характер сервисных бизнес-процессов. В результате автором раскрыты преимущества стека DTC Platform Stack для проектирования композитных систем управления и описана структура ИЦД, включающая слои реального мира, безопасности, инфраструктуры, виртуального представления, интеграции и синхронизации, а также слой приложений. Сформулированы принципы проектирования и интеграции искусственных нейросетевых структур в архитектуру цифрового двойника, обеспечивающие автономность системы и её способность к генерации предиктивных управленческих решений. Практическая значимость работы заключается в обосновании ИЦД как эффективного инструмента цифровой трансформации на пути инновационного развития организации, реализуемого через переход к системе предиктивного управления на основе данных нейросетевого анализа и имитационного моделирования сценариев в виртуальной среде. Перспективы дальнейших исследований связаны с масштабированием разработанной архитектуры на различные сегменты непроизводственной сферы и интеграцией локальных ИЦД в глобальные цифровые экосистемы. The purpose of the article is to substantiate the methodological foundations of the formation and implementation of the organizational and economic mechanism of digital transformation of IT services companies based on the architecture of an intelligent digital twin (IDC). The methodological basis of the study was system analysis, simulation modeling methods and the architectural framework Platform Stack of the Digital Twin Consortium (DTC). This study provides a comparative analysis and a detailed description of the architectural basis of the organization's digital twin, which is most relevant to the specifics of service companies, in particular the IT services sector. The scientific novelty of the work lies in the substantiation of a multi-level target architecture of IT services organizations, which, unlike existing approaches, takes into account the specifics of intangible asset management and the dynamic nature of service business processes. As a result, the author reveals the advantages of the DTC Platform Stack for designing composite control systems and describes the structure of the data center, which includes layers of the real world, security, infrastructure, virtual representation, integration and synchronization, as well as an application layer. The principles of designing and integrating artificial neural network structures into the architecture of a digital twin are formulated, ensuring the autonomy of the system and its ability to generate predictive management decisions. The practical significance of the work lies in the substantiation of the IDI as an effective tool for digital transformation on the path of innovative development of an organization, implemented through the transition to a predictive management system based on neural network analysis and simulation modeling scenarios in a virtual environment. The prospects for further research are related to scaling the developed architecture to various segments of the non-manufacturing sector and integrating local data centers into global digital ecosys","url":"https://doi.org/10.54861/27131211_2026_2_449","authors":["В.В. Чуваев"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-08T12:58:45Z","doi":"10.54861/27131211_2026_2_449","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.5001056","name":"Artificial Intelligence (AI) and Virtual Reality Convergence in Financial Services: The Power of Digital Twin Robo-Advisers","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5001056","authors":["Marco I. Bonelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-31T15:15:53Z","doi":"10.2139/ssrn.5001056","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1108/ilt-09-2025-0400/v2/review1","name":"Review for \"Floorless Closed-Loop Microdosing for Rail Friction: A Physics-Only Digital Twin on Kuwait City’s Blue Corridor\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-09-2025-0400/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-26T08:32:08Z","doi":"10.1108/ilt-09-2025-0400/v2/review1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.2139/ssrn.5374439","name":"A Digital Twin Scenario and Agent-Based Model for West Nile Virus Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5374439","authors":["Matin Marjani","Lee  W. Cohnstaedt","Caterina Scoglio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-01T13:01:01Z","doi":"10.2139/ssrn.5374439","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1115/omae2024-126223","name":"Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy","source":"crossref","abstract":"Abstract The demand for condition-based and predictive maintenance is rising across industries, especially for remote, high-value, and high-risk assets. In this article, the diagnostic digital twin concept is introduced, discussed, and implemented for a floating offshore turbine. A diagnostic digital twin is a virtual representation of an asset that combines real-time data and models to monitor damage, detect anomalies, and diagnose failures, thereby enabling condition-based and predictive maintenance. By applying diagnostic digital twins to offshore assets, unexpected failures can be alleviated, but the implementation can prove challenging. Here, a diagnostic digital twin is implemented for an operational floating offshore wind turbine. The asset is monitored through measurements. Unsupervised learning methods are employed to build a normal operation model, detect anomalies, and provide a fault diagnosis. Warnings and diagnoses are sent through text messages, and a more detailed diagnosis can be accessed in a virtual reality interface. The diagnostic digital twin successfully detected an anomaly with high confidence hours before a failure occurred. The paper concludes by discussing diagnostic digital twins in the broader context of offshore engineering. The presented approach can be generalized to other offshore assets to improve maintenance and increase the lifetime, efficiency, and sustainability of offshore assets.","url":"https://doi.org/10.1115/omae2024-126223","authors":["Florian Stadtmann","Adil Rasheed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-09T13:26:34Z","doi":"10.1115/omae2024-126223","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1080/27525783.2021.12519271","name":"REVISED The development of a digital twin concept system\n         \t\t\t[version 3; peer review: 1 approved, 3 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2021.12519271","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-04T14:17:23Z","doi":"10.1080/27525783.2021.12519271","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.21203/rs.3.rs-8084179/v1","name":"Hybridization inspired solution to the prior of fault types problem in digital twin","source":"preprints","abstract":"Abstract The use of virtual-physical fusion data to optimize fault diagnosis accuracy and address the small sample problem is a cutting-edge research direction in this field, especially in digital twin technology. However, the virtual-physical fusion method has a fatal problem. Before fusion, it is necessary to know the fault types of both parties in the fusion in advance; only then can fusion matching be carried out. Otherwise, a situation where incorrect fusion matching is performed between non-identical fault types will occur. This is known as the Prior of Fault Types (PFT). PFT greatly limits the application of such methods in real-field scenarios. Inspired by biological genetics which hybridization breeding methods do not require prior knowledge, this paper proposes a Hybridization Optimization Digital Twin (HoDT) framework, drawing on concepts from biological genetics to address the PFT problem for fault diagnosis. This framework has been validated in real-world scenarios, achieving 100% matching accuracy and 100% fault diagnosis accuracy in most cases, as well as with high stability. This method overcomes the bottlenecks of requirements of PFT and provides an effective solution for practical applications.","url":"https://doi.org/10.21203/rs.3.rs-8084179/v1","authors":["Lei Xiao","Jun Wang","Ge Chen"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8084179/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3390/electronics14061122","name":"Electronic Artificial Intelligence–Digital Twin Model for Optimizing Electroencephalogram Signal Detection","source":"crossref","abstract":"The study is focused on the application of the electronic proof of concept Digital Twin (DT) model supporting Electroencephalogram (EEG) signal detection and interpretation. The EEG DT model integrates two open source tools: a first tool used for the circuit modeling and simulation of the electrodes, and a second one implementing an Artificial Intelligence (AI)-supervised algorithm to classify and adjust a noisy EEG signal. Specifically, the DT model adopts the Random Forest (RF) AI-supervised algorithm, replacing the signal filtering process and facilitating the time–domain peak and the wave shape morphology reading of a noisy detection. In order to prove the DT’s efficacy, the RF model is trained by considering the specific case of detections of EEG of patients under the effects of alcohol. The choice of the RF algorithm is justified by its good performance parameters. For the specific dataset, the RF exhibits a probabilistic error slightly lower than that of the ANN and a better cleaning action. The goal of the paper is to provide a methodology to use ‘intelligent’ electrodes supporting EEG data processing during data acquisition and to optimize the measurement’s interpretation through a data post-processing process. The proposed EEG DT could represent an alternative to the traditional denoising signal processing approaches.","url":"https://doi.org/10.3390/electronics14061122","authors":["Alessandro Massaro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-12T10:45:06Z","doi":"10.3390/electronics14061122","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00023-3","name":"Blockchain for management of healthcare data","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00023-3","authors":["Garima Verma","Seema Yadav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:44:24Z","doi":"10.1016/b978-0-443-30300-5.00023-3","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1007/978-981-95-2543-0_18","name":"Noninvasive Digital Twin for Pedagogical Purposes in Digital Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-2543-0_18","authors":["Tarun Boni","Tanuj Reddy","Vennishmuthu Vajiravelu","Prakruthi Hareesh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T13:13:11Z","doi":"10.1007/978-981-95-2543-0_18","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.4125479","name":"Blockchain-Based Fine-Grained Digital Twin Sharing Framework for Socialized Cloud Manufacturing","source":"openalex","abstract":"Driven by social media, cloud manufacturing (CMfg) has presented a socializing trend. With the large absorption of idle social manufacturing resources, the digitalization of these resources into the cloud has become the key challenge. Benefiting from the convenience of sharing in the social community, the sharing of digital twin (DT) models could be feasible to realize rapid cloud transformation of the above resources. To further release the productivity of knowledge cooperation and innovation in the social community, this paper presents a blockchain-based fine-grained DT sharing framework to accelerate the popularization and optimization of DTs in CMfg. A hybrid design method, the model–view–controller domain-driven design (MVC-DDD), is proposed to separate the internal representations of a DT from its business logic disposal and domain knowledge encapsulation. Then, a referential DT architecture is designed using MVC-DDD to realize fine-grained DT constructions. In addition, the specific sharing framework and sharing incentive mechanism are presented to motivate sharing in decentralized social communities.","url":"https://doi.org/10.2139/ssrn.4125479","authors":["Ming Li","Arjun Rachana Harish","George Q. Huang"],"tags":["Blockchain","Cloud computing","Computer science","Business","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"10.2139/ssrn.4125479","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"doi:10.3390/eesp2026045003","name":"A Multi-Hazard Digital Twin Framework for Climate Adaptation Planning of Interdependent Critical Urban Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.3390/eesp2026045003","authors":["Muhammad Khubaib"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T08:46:18Z","doi":"10.3390/eesp2026045003","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1126/science.abf0687","name":"Europe is building a ‘digital twin’ of Earth to revolutionize climate forecasts","source":"crossref","abstract":"","url":"https://doi.org/10.1126/science.abf0687","authors":["Paul Voosen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-02T01:10:17Z","doi":"10.1126/science.abf0687","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.4604694","name":"Harnessing Digital Twin and Iot for Real-Time Monitoring, Diagnostics, and Error Correction in Domestic Solar Energy Storage","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4604694","authors":["fang chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-17T10:17:37Z","doi":"10.2139/ssrn.4604694","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1109/bsc57238.2023.10201459","name":"Optimum Digital Twin Response Time for Time-Sensitive Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bsc57238.2023.10201459","authors":["Amirhosein Aghaei","Dongmei Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-09T17:22:06Z","doi":"10.1109/bsc57238.2023.10201459","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.59499/ep235765361","name":"Digital Twin Of The Binder Jetting Manufacturing Route From Powder To Component","source":"crossref","abstract":"Binder jetting is ideally suited to produce individual components, as it offers the possibility to directly achieve highly complex geometries. To assure the direct production of net-shape components with optimized process parameters, numerical models across scales were developed in this study to model and simulate each manufacturing step on the entire process chain. Using discrete element and finite element methods, the powder spreading process and the subsequent sintering process were simulated. By considering the influences of the density distribution on green bodies, the gravity, and the friction between the sintering substrate and the sintering parts, the sintering shrinkage and the final geometry could be precisely predicted. The results from simulation were validated with experimental data from both manufacturing steps. With the help of the inverse optimisation, the geometry of the green parts was optimised iteratively, which allows the net-shape components with the desired geometries being manufactured despite sintering distortion.","url":"https://doi.org/10.59499/ep235765361","authors":["Yuanbin Deng","Anke Kaletsch","Christoph Broeckmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-27T13:59:36Z","doi":"10.59499/ep235765361","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1002/9781119911425.ch13","name":"Digital Twin Enablers for Collaboration and the Risks and Barriers to Adoption of Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119911425.ch13","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-01T06:19:05Z","doi":"10.1002/9781119911425.ch13","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00017-0","name":"Application of digital twins for construction site management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00017-0","authors":["Jiaying Zhang","Peter Kok-Yiu Wong","Jack C.P. Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T22:02:34Z","doi":"10.1016/b978-0-443-30076-9.00017-0","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/en18102545","name":"Biomass Valorization Recommender Tool Development","source":"crossref","abstract":"The growing need for sustainable biomass use has led to the development of decision support tools that investigate the implementation of biomass valorization methods. Most existing tools focus on minimizing supply chain costs and emissions, often lacking a holistic approach that integrates economic, social, and circularity principle factors. This paper introduces the Biomass Valorization Recommender tool, a decision facilitation system developed to support biomass producers, policymakers, and technology providers in selecting optimal biomass valorization pathways. The tool applies a multi-criteria analysis that incorporates biomass quality characteristics, the biomass pyramid and waste hierarchy principles, and socio-economic indicators to evaluate potential valorization pathways of the selected biomass feedstock and technology. The scoring methodology generates a ranked inventory of biomass valorization pathways, such as food ingredients, chemicals, materials, biofuels, and energy production. Additionally, the tool evaluates co-digestion feasibility for anaerobic digestion applications, as well as biogas production potential, and provides biomass roadside cost data to enhance decision-making. A theoretical example in Italy using the industrial fermentation process demonstrates its applicability in biomass valorization solutions within a circular economy framework. This tool aims to identify and assess feedstock valorization opportunities for stakeholders seeking to increase feedstock flexibility and reduce waste by promoting sustainable biomass management, circular economy, and bioeconomy principles.","url":"https://doi.org/10.3390/en18102545","authors":["Vasiliki Tzelepi","Lucyna Lekawska-Andrinopoulou","Kostas Chatziioannou","Thodoris Theodoropoulos","Georgios Tsimiklis","Angelos Amditis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-14T10:27:41Z","doi":"10.3390/en18102545","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.22541/au.159863479.99947961","name":"Real-time Prediction Method of Fatigue Life of Bridge Structure under Digital Twin","source":"crossref","abstract":"Aiming at the structural safety problems caused by the coupling and randomness of factors such as the geometric characteristics, load status, service characteristics and failure mechanism of the in-service bridge structure in time and space, a real-time prediction method of fatigue life of bridge structure under digital twin is proposed. Based on the physical entity of the general bridge crane, the status information acquisition system is used to get the current service status information of the crane equipment, and the obtained current service status information is combined with inherent information and historical service information to construct a fuzzy information database, which is clearly quantified to form twin data; based on the characteristics of the equipment structure and the technology cycle process, the load, strength, defect and life analysis models are determined to form a multi-theoretical calculation model of the bridge structure through information transmission; using the informational data of the active service state, the multi-theoretical computational model is modified to obtain the main factors affecting the fatigue life, and fuzzy comprehensive evaluation theory is combined to determine the comprehensive influence factor; the Kriging proxy model is constructed through experimental design to obtain the response relationship between inherent and service information and the fatigue life of the bridge structure, and the whole life cycle process of the equipment is reflected by completing the real-time prediction of the fatigue life of the bridge structure in the virtual space. Taking the QD20/10t×43m×12m general bridge crane as an example, the feasibility and applicability of the proposed method are verified by comparison, which provides a strong theoretical basis for the safe service and timely scrapping of the crane.","url":"https://doi.org/10.22541/au.159863479.99947961","authors":["Qing Dong","Bin He","Qisong Qi","Gening Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-08-28T13:13:23Z","doi":"10.22541/au.159863479.99947961","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5194/ems2024-601","name":"&amp;#160;Awareness and expectations from the climate change adaptation digital twin","source":"crossref","abstract":"Digital Twins have become a buzzword often associated with innovation and transformation. The notion of digital twin includes a tight integration between models, data and decisions, which has resulted in a diverse and proliferating set of use cases, with applications across multiple areas of science, technology, and society. In the field of earth sciences, the digital twin for climate adaptation promises the potential to predict the impact of climate change with unprecedented reliability at regional and national scales. However, despite the opportunities and challenges it may bring to the climate adaptation community, researchers and practitioners working in the climate adaptation field may not be aware of such a digital twin and the added value of the information it can provide, and may even hold unrealistic expectations for purposes it can be applied to. To assess the awareness and expectations from the climate adaptation digital twin, a survey was launched targeted to adaptation researchers and practitioners. The analysis of results shows that the community sample reached with the survey (25 answers) is generally unaware of digital twins, let alone the one for adaptation to climate change, except for some academics involved in research projects of technical nature. The increase in the spatial and temporal resolution of climate and impact models, together with the simulation of different climate adaptation options to develop better regional and local adaptation strategies are the main highlighted opportunities, although for many it remains unclear who will be able to access the data and how to handle it. We suggest that a more tailored engagement and communication strategy is needed to raise awareness on the climate adaptation digital twin, the opportunities it may provide to the climate adaptation community and to the general public, and the interaction modes available for the uptake of the information generated. This calls for a stronger involvement of other disciplines, including experts in communication and dissemination, social sciences and humanities, user experience and data visualisation, in this undertaking.&amp;#160;","url":"https://doi.org/10.5194/ems2024-601","authors":["Marta Terrado","Eulàlia Baulenas","Gerrit Versteeg","Dragana Bojovic"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-05T08:06:31Z","doi":"10.5194/ems2024-601","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5006/c2025-00061","name":"Metallic Density Mapping – Buried Piping Network Digital Twin Modeling CP Current Requirements","source":"crossref","abstract":"Abstract This paper describes a methodology to develop a digital twin of the buried assets of a complex plant environment by mapping the metallic surface area buried throughout the facility. This digital twin can be utilized to calculate the current required for cathodic protection of buried piping. On a broader scale, this system can be used to identify areas of a plant where buried metallic interferences may prevent new piping installation, complicate excavations, or generate heightened risk for grounding and electrical safety. This methodology has been applied at various nuclear power plants where complex buried assets present challenges to modeling corrosion and piping integrity. This application employed the use of geographic information systems (GIS), computer aided design (CAD), and building information systems (BIM) to develop digital twins to support characterization and decommissioning of complex nuclear sites.","url":"https://doi.org/10.5006/c2025-00061","authors":["Theodore Midura","Matthew Darois"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-16T17:22:53Z","doi":"10.5006/c2025-00061","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1080/27525783.2023.12519275","name":"REVISED Construction method of high-horsepower tractor digital twin\n         \t\t\t[version 2; peer review: 3 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519275","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:57:59Z","doi":"10.1080/27525783.2023.12519275","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1021/acs.iecr.3c00371.s001","name":"Development of a Digital Twin for the Prediction and Control of Supersaturation during Batch Cooling Crystallization","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acs.iecr.3c00371.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-03T11:02:45Z","doi":"10.1021/acs.iecr.3c00371.s001","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.2139/ssrn.5366934","name":"Supply Chain Resilience through Blockchain Technology: Cybersecurity, Digital Twin Integration, and Predictive Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5366934","authors":["Jayesh Rane","Reshma Amol Chaudhari","Nitin Rane"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-12T09:20:36Z","doi":"10.2139/ssrn.5366934","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5006/c2020-14535","name":"Corrosion Data Management Using 3D Visualisation and a Digital Twin","source":"crossref","abstract":"Abstract There is a gap between the Integrity management systems used by companies to manage their assets and the needs of the CP engineer. Integrity management systems do not fully meet the needs of the engineer responsible for corrosion as they do not provide access and visualizations of all the data the engineer needs to make fast and informed decisions. There is also often no easy way to see the trends in the data, or easily access the relevant video and photographic data also recorded during the survey. Data from surveys is normally contained in reports and EXCEL spreadsheets often with different measurement locations and inconsistent naming of the locations between reports. In this paper a system is introduced which enables engineers to manage and visualise in 3D CP survey data and provide access to all the relevant information through a 3D visual interface to any member of the teams. The software gives the engineer the ability to visualize in 3D the historical and predicted CP protection on the structure and the status of the anodes in the CP system. It also provides information on long term trends in the survey data. By integrating the corrosion data with a simulation model a “digital twin” of the structure can be created to make predictions of the present and future protection of all parts of the structure. For example the engineer can easily use the software to systematically monitor the differences between the model predictions and survey data to identify anomalies and give early identification of problems which will require action. The paper will describe the system developed and present applications of both the 3D corrosion data visualisation and the simulation based digital twin","url":"https://doi.org/10.5006/c2020-14535","authors":["Robert Adey","Cristina Peratta","John Baynham"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-16T14:39:02Z","doi":"10.5006/c2020-14535","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.1038/s41587-026-03211-3","name":"Biotech's digital twin dilemma.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41587-026-03211-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41587-026-03211-3","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202606.1372.v1","name":"Composite Microservice Architecture of the Digital Twin","source":"europepmc","abstract":"This paper presents a study on the use of a microservices-based composite architecture for building a digital twin. It substantiates the importance of consciously choosing an architecture for a digital twin system. It proposes considering the twin as a high-order, multi-agent, distributed system that incorporates similar systems. It proposes using a microservices-based composite architecture as the foundation for building such systems. The key aspects and advantages of using such an architecture are described, noting its flexibility, scalability, and integrability with existing solutions. Potential for reducing cognitive complexity and building a conveyor-based organization for the production of the system itself is highlighted. A digital twin architecture is proposed, accompanied by a diagram and additional clarification of internal rules. The need for system components to comply with a number of responsibilities for the correct operation of such architectures is noted: contract persistence, environmental persistence, responsibility persistence, versioned changes persistence, and documentation completeness persistence. The possibility of using Domain-Driven Design (DDD) as a basis for dividing the system into subsystems is separately noted.","url":"https://doi.org/10.20944/preprints202606.1372.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1372.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10366707/v1","name":"Digital Twin Feedback for Predictive Maintenance in Industrial IoT Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10366707/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10366707/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1080/17460913.2026.2722871","name":"Digital twin of the gut microbiome: toward predictive health modelling.","source":"europepmc","abstract":"1. The human gut harbors trillions of microorganisms whose collective genome exceeds the human genome by more than two orders of magnitude [1]. These microbes perform essential functions such as fe...","url":"https://doi.org/10.1080/17460913.2026.2722871","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1080/17460913.2026.2722871","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.12688/openreseurope.22973.1","name":"Technical requirements for a Digital Twin PED","source":"europepmc","abstract":"As cities strive for climate neutrality, they are keen to deploy innovative solutions to accelerate city-wide decarbonisation. Positive Energy Districts (PEDs) and Digital Twins are increasingly seen as important enablers of the clean urban energy transition promoted by the EU Cities Mission. PEDs integrate buildings, users, and urban systems, such as transportation, to achieve a net-positive annual energy balance. To capture this multi-sectoral connections and design actionable pathways for PED development, decision makers need advanced decision support tools that can drive evidence-informed planning and interventions. The BIPED project is developing an integrated Digital Twin PED platform to help cities in this endeavour. This article employs a descriptive method to provide an overview of the platform’s components and illustrate its application with several use cases. It concludes by outlining key technical requirements for Digital Twin PEDs.","url":"https://doi.org/10.12688/openreseurope.22973.1","authors":["Pavel Kogut","Jiri Bouchal","Susie McAleer"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/openreseurope.22973.1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1088/1361-6560/ae835a","name":"A digital twin framework for adaptive treatment planning in radiotherapy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1088/1361-6560/ae835a","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1088/1361-6560/ae835a","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1056/nejmc2605923","name":"More on Digital Twin-Guided Ablation for Ventricular Tachycardia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1056/nejmc2605923","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1056/nejmc2605923","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-10340860/v1","name":"Fault Diagnosis for Satellite of Multi-Subsystems with Digital Twin Residual","source":"europepmc","abstract":"Abstract Fault diagnosis for multi-subsystem satellites represents a critical technology for constructing resilient space architectures. However, current Digital Twin (DT)-driven fault diagnostic methods face several challenges, including limited modeling of subsystem couplings and difficulties in dealing with the complex characteristics of satellite fault data. To address these issues, this paper proposes a Digital Twin Residual (DTR)-driven fault diagnostic method for satellite of multi-subsystems. Coupling relationships between satellite subsystems are first incorporated into the modeling process. The satellite fault data are then analyzed and visualized, revealing the impact of residuals on diagnostic performance. Consequently, raw fault data are transformed into residual data, where fault-related features become more significant, enabling effective diagnosis. The proposed DTR method is validated on a satellite fault dataset containing 49 scenarios and achieves superior diagnostic performance against existing DT-driven fault diagnostic methods. This study offers a solution for DT-driven satellite fault diagnosis, contributing to increased reliability and resilience of space systems.","url":"https://doi.org/10.21203/rs.3.rs-10340860/v1","authors":["Yu Shi","Xuelei Deng","Yunfeng Dong","Fengrui Liu"],"tags":["Residual","Satellite","Fault (geology)","Reliability (semiconductor)","Fault model"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10340860/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.1892.v1","name":"DANA: A Digital Agent for Network Data Acquisition in Network Digital Twin Context","source":"europepmc","abstract":"In recent years, the Digital Twin paradigm has emerged as a key enabler for the monitoring, analysis, and optimization of complex systems through the continuous interaction between physical entities and their digital counterparts. In the context of communication networks, the application of this paradigm has led to the concept of Network Digital Twins (NDTs), which aim to provide accurate and continuously synchronized representations of networks throughout their entire operational lifecycle. However, despite the growing number of architectural proposals and conceptual frameworks, the practical deployment of fully operational Network Digital Twins remains a significant challenge. In particular, existing approaches often assume the availability of structured, timely, and homogeneous network data, overlooking the inherent complexity of acquiring, normalizing, and maintaining such information across heterogeneous network infrastructures. This article addresses this challenge by presenting DANA, a lifecycle-aware system specifically designed for network data acquisition in Network Digital Twin environments. Rather than proposing a new digital twin architecture, the contribution focuses on the systematic collection, normalization, and dissemination of network data required for both the initial creation and the continuous operation of Network Digital Twins. DANA follows a device-agnostic design, enabling interaction with heterogeneous network devices and systems, and explicitly distinguishes between data acquisition for initial modeling and for runtime monitoring and synchronization. The system adopts a modular architecture and an event-driven publish/subscribe communication model to support scalable and bidirectional information exchange between the physical and digital domains. The proposed solution is experimentally validated through realistic network scenarios based on network emulation and container-based orchestration platforms, demonstrating its applicability to practical and operational Network Digital Twin deployments.","url":"https://doi.org/10.20944/preprints202608.1892.v1","authors":["Mario Sanz-Rodrigo","Diego Rivera","José Ignacio Moreno","Manuel Álvarez-Campana","Carmen Sánchez-Zas"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1892.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26144460","name":"Digital Twin-Enabled Dynamic Aggregation for Efficient Federated Learning.","source":"europepmc","abstract":"Federated learning (FL) enables collaborative model training without sharing raw data, but it faces challenges due to client heterogeneity, leading to inefficiency and reduced accuracy. This paper proposes a digital twin (DT)-based dynamic FL aggregation method to address these issues. The framework integrates a DT layer on the server side to perform preaggregation evaluations, simulating various aggregation strategies to select the optimal approach before actual global aggregation. An adaptive clustering method based on K-means is employed to group clients with similar characteristics, and a hierarchical aggregation evaluation strategy is designed to optimize both intra-cluster and inter-cluster aggregation, with the goal of minimizing latency and energy consumption while maximizing model accuracy. Simulation results on the MNIST and CIFAR-10 datasets demonstrate that the proposed method not only accelerates model convergence and improves accuracy but also significantly reduces training latency and energy consumption costs compared with baseline FL algorithms. This DT-assisted approach delivers a practical and effective optimization solution for federated learning deployment over large-scale heterogeneous IoT sensor networks.","url":"https://doi.org/10.3390/s26144460","authors":["Wenqin Zhuang","Yuao Wang","Guocheng Wang"],"tags":["Computer science","MNIST database","Federated learning","Latency (audio)","Energy consumption"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26144460","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1002/cnm.70203","name":"Development of Design-Phase Digital Twin for Structural Optimization of a Biomedical Device.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/cnm.70203","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/cnm.70203","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202608.1762.v1","name":"GeoBIM as the Foundation of the Digital Twin on a Macro Scale: Development Trends and Case Studies","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1762.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1762.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.22541/authorea.15006877/v1","name":"Dynamic Beam Detection for millimeter-Wave Massive MIMO with Digital Twin","source":"europepmc","abstract":"Millimeter-wave (mmWave) massive MIMO systems are highly susceptible to dynamic environmental blockages, which severely degrade link reliability. Conventional channel state information (CSI) estimation methods attempt to project continuous physical angles onto a discrete spatial grid, leading to off-grid basis mismatch and degraded channel reconstruction. Furthermore, traditional pilot-based beam sweeping is fundamentally reactive, incurring high training overhead and failing to adapt rapidly to sudden obstructions. To overcome these challenges, we propose a proactive beam detection framework governed by a Digital Twin (DT) that completely bypasses explicit angular estimation and full CSI reconstruction. The proposed architecture captures the real-time spatial state of the environment—including static infrastructure and dynamic obstacles—as a multi-channel Bird's-Eye View (BEV) tensor. A deep Convolutional Neural Network (CNN) based on a Residual Network (ResNet) acts as a low-latency surrogate model, directly mapping the environmental latent space to a probability distribution over the beam codebook. By anticipating impending Line-of-Sight (LoS) blockages and implicitly discovering viable Non-Line-of-Sight (NLoS) reflective paths, the DT-assisted framework enables ultra-reliable, proactive beam switching. Numerical results demonstrate that the proposed approach circumvents off-grid angular quantization errors, eliminates handover outage spikes, and achieves near-optimal effective spectral efficiency with negligible training overhead.","url":"https://doi.org/10.22541/authorea.15006877/v1","authors":["Ke Xu","weiqiang wu"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/authorea.15006877/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.20944/preprints202607.2068.v1","name":"See, Spawn, Synchronize: A Digital Twin Pipeline for Smart Production Cells","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.2068.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.2068.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10388873/v1","name":"A Model-Based Digital Twin for Predicting Deterioration of Mogao Polychrome Sculpture","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10388873/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10388873/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9105998/v1","name":"AI–IoT–Digital Twin Framework for Predictive Maintenance in Smart Manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9105998/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9105998/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s42004-026-02077-5","name":"Digital twin of biomacromolecular thermodynamics in cryo-EM data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s42004-026-02077-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s42004-026-02077-5","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1007/s11548-026-03641-z","name":"A digital twin for microwave liver treatment replanning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11548-026-03641-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11548-026-03641-z","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.64898/2026.06.24.734391","name":"Cerebrovascular Imaging-to-Graph Reconstruction for Individualized Digital Twin Brains","source":"europepmc","abstract":"ABSTRACT The development of digital twins in medicine, i.e., virtual replicas of human organs, offers a promising path toward precision medicine by enabling interpretable, mechanistic, and actionable insights. In the brain, cerebrovascular twins support individualized modeling of hemodynamics and bio-transport, with broad applications. A major bottleneck, however, is the lack of robust methods to transform in vivo cerebrovascular images into simulation-ready cerebrovascular meshes or graphs. Here, we present CerebroVascular Imaging to Graph reconstruction (CVIG), a robust and multiscale framework for reconstructing whole brain cerebrovascular graphs from in vivo cerebrovascular images. CVIG integrates vessel vectorization, with tolerance to discontinuity in vessel structures, using a topology-guided assembly of vessel trees to generate cerebrovascular graphs from medical images. We demonstrate the ability of CVIG to generate vascular graphs with improved vascular coverage and topological correctness, the capability essential for high fidelity brain biophysical simulations. This work establishes a vascular graph framework for individualized modeling and analysis, providing a key foundation for digital twins of the human brain.","url":"https://doi.org/10.64898/2026.06.24.734391","authors":["Chen Xie","Beini Hu","Abdulmalik M. Alakeel","Candace C. Fleischer","Andrei G. Fedorov"],"tags":["Polygon mesh","Computer science","Artificial intelligence","Medicine","Graph"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.24.734391","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202603.1559.v1","name":"A Digital Twin of Empagliflozin Pharmacokinetics and Pharmacodynamics","source":"europepmc","abstract":"Background/Objectives: Empagliflozin is an SGLT2 inhibitor prescribed for the management of type 2 diabetes mellitus, lowering blood glucose by increasing urinary glucose excretion (UGE) through inhibition of renal glucose reabsorption. PK/PD responses vary substantially across patient populations, complicating dose selection under altered organ function. Here, we developed a whole-body PBPK/PD digital twin integrating absorption, distribution, metabolism, and excretion with explicit modeling of renal glucose handling via the renal threshold for glucose. Methods: The model represents empagliflozin and its glucuronide metabolite, is implemented in SBML, and was calibrated and evaluated against curated PK/PD data from 27 clinical studies spanning healthy individuals, patients with type 2 diabetes, and cohorts with renal or hepatic impairment. Results: The model accurately captured observed clinical PK/PD data across all 27 studies, spanning a wide range of doses, dosing regimens, and patient populations. Good agreement between simulations and observations was obtained under normal and impaired renal and hepatic function, as well as under fasted and fed conditions, demonstrating the model's ability to reproduce empagliflozin disposition and pharmacodynamic response across clinically relevant scenarios. Conclusions: This SBML-based PBPK/PD digital twin provides quantitative insight into empagliflozin dose dependency and the impact of renal impairment, hepatic impairment, and food intake on PK/PD across clinically relevant populations. All model files, simulation scripts, and curated datasets are openly available in accordance with FAIR principles.","url":"https://doi.org/10.20944/preprints202603.1559.v1","authors":["Jennesse Alejandro","Michelle Elias","Mariia Babaeva","Matthias König"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1559.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-9694858/v1","name":"Digital Twin Architecture for Real-TimeProcess Monitoring in Intelligent Manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9694858/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9694858/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-9039690/v1","name":"Digital Twin: A new Technology for Future Building Sector","source":"europepmc","abstract":"Abstract The building sector's historically sluggish adoption of digital technologies, due to these results are ineffective workflows, frequent cost overruns, and delays. Moreover, these challenges are exacerbated by the fact that it is a disjointed organization due to market forces. Through the promotion of innovation and enhanced collaboration, the digitalization and shift towards Industry 4.0 can potentially increase the productivity and efficiency of construction significantly and reduce the number of the information gaps and inconsistencies in data. The motivation behind the study is the fact that the digital twin-technology may be applied at different stages of the building, starting with a simple design, all the way to project delivery. Existing studies indicate the innovative impact of digital twin technology on ensuring environmental sustainability and innovative building approaches. These virtual replicas are important in simplifying the manufacturing processes in industries through synchronization of social interactions and production. The analysis in depth, the applications of the digital twin technology to the construction industry demonstrate how the technology can be used to accelerate the coordination process and can be used to facilitate the process of sharing the data between the interested parties. Landlords are driving the digitization of collaborative innovation processes in construction as they become more aware of the value of digital twin technologies in local environment. Enhancing asset quality, optimizing project delivery, and promoting social sustainability are all achieved by including digital twin technology from the beginning of a project and maintaining its use throughout the design phase. With the growing connection between sustainability objectives and technology, the construction sector is poised for a profound shift.","url":"https://doi.org/10.21203/rs.3.rs-9039690/v1","authors":["Pragya Vaishnav","Chandrashekhar Patel","Linesh Raja","Ningthoujam Avichandra Singh"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9039690/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.otsr.2026.104796","name":"The rise of AI companions: From prediction to surgery in the digital twin era.","source":"europepmc","abstract":"Artificial intelligence (AI) is rapidly reshaping orthopaedic surgery, supported by advances in data science, computational power, and perioperative digitalization. Within this evolving landscape, five \"AI companions\" structure the surgeon's workflow. The \"AI Scribe\" maximizes administrative efficiency while preserving the surgeon-patient relationship. The \"Strategic Assistant\" supports the continuum from diagnosis to decision-making and personalized care. The \"Surgical Co-pilot\" integrates real-time data, digital twins, and vision-language-action synergy to enhance intraoperative guidance. The \"Learning Sentinel\" leverages collective experience to inform practice, education, and continuous improvement. The \"Agile Trauma Vanguard\" secures emergency decision-making while contributing to the decentralization of expertise. These systems rely on digital twins, task-specific, data-driven models continuously refined through patient outcomes via automated or semi-automated feedback loops. While early applications have demonstrated feasibility, their clinical value remains insufficiently established, highlighting the need for robust evaluation frameworks focused on patient-centered outcomes and real-world effectiveness. In parallel, economic models remain uncertain for technologies generating largely intangible returns. Their integration into practice will require surgeons to develop strong oversight capabilities and a clear understanding of model performance, scope, and limitations. Open science, data sharing, and digital sovereignty will be critical to ensure transparency, reproducibility, and equitable access. AI companions may ultimately redefine orthopaedic care, provided that their deployment is guided by rigorous validation and appropriate governance. LEVEL OF EVIDENCE: V; Expert opinion, Narrative review.","url":"https://doi.org/10.1016/j.otsr.2026.104796","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.otsr.2026.104796","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.jflm.2026.103137","name":"Digital twin technology in forensic mental health.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jflm.2026.103137","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.jflm.2026.103137","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10331025/v1","name":"Edge-AI Predictive Maintenance Based on Industrial IoT and Digital Twin System","source":"europepmc","abstract":"Abstract A breakdown of a critical machine in the middle of production is a big deal. The line stops, schedules are blown, and now the fix is being done under duress, with even less time to do it right. Supplies that might have been ordered ahead of time now have to be completed on the same day. Labor that is planned for other work is diverted. The ultimate cost of a single failure is almost always several multiples of what early detection and prompt maintenance would have entailed. One of the problems is that many traditional systems are not smart enough at the hardware level to investigate early signs of impending failure. We observe that the current solutions suffer from three major drawbacks: a) They heavily depend on centralized servers for (sometimes real-time) inference, resulting in non-negligible latency, b) They only weakly integrate digital twin models with real-time data streams, and c) They have limited capability to adapt given evolving operational contexts. To this end, a layered predictive maintenance architecture that employs edge AI processing for Industrial IoT data collection and Digital Twin modeling was proposed to fill these gaps. In parallel, the data from various sensors (vibration, temperature, acoustic, and current signals) are gathered by the system, processed on the edge gateway, and fed to an ensemble of machine learning and deep learning models (Random Forest, SVM, LSTM, CNN-LSTM) together with a reinforcement learning scheme. The Digital Twin interacts in real time with the edge layer in a continuous feedback loop to simulate degradation patterns and dynamically tune maintenance decisions. The result of the experiment with the confusion matrix analysis and the cross-validation shows the integrated approach achieves an accuracy of detection of 97.43%. Furthermore, false negatives were decreased by about 33.33% compared to the single-sensor approaches, and the total downtime was reduced by 66.67% when compared with traditional threshold- based methods. One interesting result is that doing inference on the edge itself (even on a low-cost device like Raspberry Pi) can still reach a good level of accuracy, with the latency being reduced to less than 13 ms.","url":"https://doi.org/10.21203/rs.3.rs-10331025/v1","authors":["Megha Patil","Yogesh Bhirud","Dhanashree Barbole"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10331025/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s11548-026-03637-9","name":"Perception-first digital twin for augmented reality microsurgery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11548-026-03637-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11548-026-03637-9","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1056/nejmc2517822","name":"Digital Twin-Guided Ablation for Ventricular Tachycardia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1056/nejmc2517822","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1056/nejmc2517822","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1186/s41747-026-00753-8","name":"Digital twin technologies in prostate cancer as a frontier for precision medicine.","source":"europepmc","abstract":"Prostate cancer (PCa) is the most frequently diagnosed malignancy among men and presents major clinical and socioeconomic challenges worldwide. Despite advances in early detection, imaging, and therapy, managing PCa remains complex due to disease heterogeneity, risks of overdiagnosis, and overtreatment. Digital twin (DT) technologies might represent an emerging conceptual framework aimed at supporting dynamic, patient-specific virtual modeling for personalized clinical decision-making. By integrating multimodal clinical, imaging, molecular, and physiological data, DTs can simulate disease progression, predict treatment responses, and support proactive, adaptive care. This perspective explores the conceptual framework for DT ecosystems in PCa, highlighting potential clinical impacts, infrastructural requirements, and barriers to implementation. Harnessing DTs could impact PCa management into a truly predictive, personalized, and participatory approach, improving outcomes and optimizing healthcare resource utilization globally. RELEVANCE STATEMENT: DT technologies may enable personalized, predictive PCa management by integrating multimodal patient data to guide diagnosis, treatment selection, and monitoring, with the potential to improve outcomes, reduce overtreatment, and optimize healthcare resource utilization KEY POINTS: DTs create virtual patient models to personalize PCa care. They integrate imaging, clinical, and molecular data into one system. This approach may reduce overdiagnosis and unnecessary treatments.","url":"https://doi.org/10.1186/s41747-026-00753-8","authors":["Martina Pecoraro","Emanuele Messina","Simone Novelli","Ludovica Laschena","Graziano Blasilli","Enrico Tronci","Valeria Panebianco"],"tags":["Precision medicine","Prostate cancer","Data science","Medicine","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s41747-026-00753-8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.21203/rs.3.rs-9785119/v1","name":"Fidelity Metric with 3D Shape Descriptor for Digital Twin Standardization","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9785119/v1","authors":["Md Tarique Hasan Khan","Tahir Jauhar","Soonhung Han","Chiho Noh"],"tags":["Embedding","Artificial intelligence","Fidelity","Robustness (evolution)","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9785119/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3389/fdgth.2026.1724029","name":"Innovative digital twin framework for early risk detection and personalized perinatal healthcare.","source":"europepmc","abstract":"Introduction Pregnancy-related complications such as gestational diabetes mellitus (GDM) and preeclampsia require timely identification, as initially low-risk pregnancies may develop clinically relevant risks during follow-up. Digital Health and Telemedicine can support remote monitoring, while Digital Twin (DT) technology offers a framework for integrating longitudinal patient data with predictive models. However, DT-based perinatal systems remain exploratory and require methodological validation before clinical use. Methods This study presents a proof-of-concept DT framework for perinatal monitoring. Three data roles are distinguished: public benchmark datasets for model training and testing, synthetic patient records generated with Synthea to simulate prenatal consultations, and synthetic time-stamped wearable-like records generated with Gretel.ai to emulate repeated monitoring at the data-acquisition layer. Clinical and wearable-like streams were processed independently and combined only at the interpretation stage. Results The maternal risk model performed better for low- and high-risk classes than for the intermediate class, supporting its use as a screening-oriented component rather than a definitive classifier. GDM models achieved high recall for the GDM class in both clinical and wearable-like configurations. By contrast, preeclampsia prediction showed limited performance, especially with wearable-accessible blood pressure variables alone; the clinical model improved the class profile but remained insufficient for clinical deployment. The simulated patient cases illustrate the DT workflow and the limitations of wearable-only inputs for complex obstetric risk stratification. Discussion The proposed framework should be interpreted as a methodological prototype for organizing clinical and time-stamped wearable-like data within a perinatal DT. The results support combining episodic clinical information with repeated physiological monitoring, but also show that model calibration, class imbalance, richer clinical features, and validation with real longitudinal cohorts are needed before clinical decision-support use. Future work will focus on real-world validation, sequence-aware modelling, and integration with clinical workflows under medical supervision.","url":"https://doi.org/10.3389/fdgth.2026.1724029","authors":["Mario Sanz Rodrigo","Virginia Anton Yuste","Diego Rivera","Jose Ignacio Moreno","Xavier Larriva Novo"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1724029","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-9906645/v1","name":"Design of a Digital Twin System for Multi-stage Robotic Assembly with Trajectory Optimization","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9906645/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9906645/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26092840","name":"Digital Twin of Coal Mine Rescue Robot-Research on Intelligence and Visualization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092840","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26092840","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202607.1231.v1","name":"A Digital Twin Framework for Monitoring and Fault Diagnostics of Marine Internal Combustion Engines","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1231.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1231.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.1538.v1","name":"High Variation Detection in Industrial Sensor Networks: A Review and Digital Twin Framework","source":"europepmc","abstract":"Sensor degradation and measurement variability are inevitable in industrial environments, where harsh conditions, aging components, and dynamic processes continuously affect measurement quality. The critical challenge is not simply detecting when variability increases existing statistical methods accomplish this effectively but determining the root cause. A drifting sensor and a changing process can produce identical variance signatures in the data, leading operators to either replace functioning sensors unnecessarily or overlook genuine sensor faults while investigating phantom process issues. This diagnostic ambiguity results in wasted maintenance effort and delayed problem resolution. This review paper examines variance-change detection methods for industrial sensor networks and proposes a digital twin framework that moves beyond detection to diagnosis. Statistical methods including rolling variance, Shewhart charts, CUSUM, EWMA, and change-point detection are reviewed. The paper establishes sensor drift as sustained high-variation behavior. Multi-sensor approaches such as PCA and autoencoders are discussed for capturing inter-sensor relationships. The proposed framework uses machine learning models to learn normal sensor relationships, then analyzes prediction error patterns across multiple sensors. A thermal monitoring case study demonstrates how these multivariate patterns distinguish sensor-specific faults from process-wide disturbances.","url":"https://doi.org/10.20944/preprints202607.1538.v1","authors":["Gnana Tulasi Makineni","Sajjad Rezvani Boroujeni","Muskan Saraf","Tom Bush","Hossein Abedi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1538.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202605.1191.v1","name":"Digital Twin and Machine Learning-Based Diagnostics for PEM Electrolyzer","source":"europepmc","abstract":"The degradation of the health state of Proton Exchange Membrane (PEM) water electrolyzer, caused by power supply variability, operating temperature changes, and other chemical factors, represents a major challenge for green hydrogen production efficiency. This paper presents an advanced hybrid system combining a digital twin and machine learning, enabling real-time anomaly detection of a PEM electrolyzer. This intelligent approach allows for the real-time prediction of operating parameters, namely current, voltage, and hydrogen flow rate, via Azure Machine Learning, and their visualization within the system's digital twin via Azure Digital Twins. Furthermore, the comparison between simulated data from the digital twin and those predicted by machine learning enables the anticipation of PEM electrolyzer anomalies. The selected prediction models rely on the Extreme Random Trees algorithm for current and voltage estimation, and on the Elastic Net algorithm for hydrogen flow rate prediction. The obtained results confirm the robustness of the proposed approach, with coefficients of determination of 0.99820, 0.99693, and 0.99665 for current, voltage, and hydrogen flow rate respectively, associated with Normalized Root Mean Square Errors (NRMSE) of 0.00870, 0.011278, and 0.11087. This high accuracy provides the digital twin with the capability to anticipate failures and extend the PEM electrolyzer's lifespan, with a view to optimizing the global efficiency of green hydrogen production.","url":"https://doi.org/10.20944/preprints202605.1191.v1","authors":["Modou Diop","Adam W. Skorek","Mouhamadou Moustapha Diop"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.1191.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.20944/preprints202607.2268.v1","name":"From Simulation to Shop Floor: A Human-Centered Digital Twin Methodology for Industry 5.0","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.2268.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.2268.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10661589/v1","name":"The Largest Robot in the World: Agentic Conversational Control of a Particle Accelerator via MCP and Digital Twin","source":"europepmc","abstract":"Abstract Modern particle accelerators are among the most complex cyber-physical systems ever built. This paper presents an AI-assisted control architecture for Elettra 2.0, a fourth-generation synchrotron light source under construction at Elettra-Sincrotrone Trieste, which conceptualises the accelerator as a large-scale robotic system. The approach integrates AI agents and Large Language Models (LLMs) with the TANGO Controls framework through a Model Context Protocol (MCP) server, letting operators interact with the machine via natural-language dialogue. The architecture is explicitly hierarchical: high-level LLM reasoning is separated from deterministic procedural execution and from real-time control loops, so that AI remains a supervisory layer rather than a direct actuator-level controller. The conversational interface is built on the Voiceflow platform, which also hosts a Retrieval-Augmented Generation (RAG) knowledge base built on the facility's document corpus. Standardised agentic skills orchestrate Sequencer devices — TANGO devices encoding Behavior Tree procedures — alongside atomic TANGO operations, covering procedures such as power management and orbit optimisation. During pre-commissioning the architecture is interfaced with a physics-based Digital Twin coupling the Accelerator Toolbox engine to a full virtual TANGO control system, enabling operator training and validation before the real machine is commissioned. On a benchmark of representative operator intents executed against the Digital Twin, the agent achieved intent-to-tool-call mapping accuracy and command success rates above 95%, at a median round-trip latency of about one second for atomic operations, with no unsafe action observed. Limitations and a deployment roadmap are discussed.","url":"https://doi.org/10.21203/rs.3.rs-10661589/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10661589/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.0628.v1","name":"Collision Avoidance with Deep Learning in a Digital Twin for Industrial Collaborative Robot Manipulation","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.0628.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.0628.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202603.1528.v1","name":"Occupancy-Aware Digital Twin for Sustainable Buildings","source":"europepmc","abstract":"This paper proposes a human-centric Digital Twin (DT) framework balancing energy efficiency with occupant well-being in existing buildings, addressing the lack of actionable insights in data-driven facility management and comfort issues common in fully automated systems. A “Human-in-the-loop” approach using dual-KPIs integrates real-time IoT data and visualization to evaluate sustainable energy use via Indoor Environmental Quality (IEQ). A novel occupancy-inference method tracks efficiency in legacy buildings without granular metering, implemented through a case study of 26 office rooms. Results indicate that the framework successfully identifies significant energy wastage and comfort anomalies without compromising well-being. Integrating real-time analytics with human oversight enables more resilient management than fully automated alternatives, particularly for detecting non-operational heating waste. The occupancy inference method was validated against ground truth, achieving 81% accuracy, with limitations regarding decay lag discussed. This research offers a cost-effective diagnostic tool for legacy buildings lacking sub-metering, lowering DT adoption barriers, and shifting maintenance from reactive to data-driven strategies. The framework leverages human expertise and infers occupancy-normalized energy metrics from standard IEQ sensors, proposing a human-centric DT framework to bridge the gap between raw sensor data and actionable facility management insights.","url":"https://doi.org/10.20944/preprints202603.1528.v1","authors":["Ivan Smirnov","Fulvio Re Cecconi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1528.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.3352/jeehp.2026.23.13","name":"Analysis of digital twin applications in nursing practice and education: a scoping review.","source":"europepmc","abstract":"This scoping review examined research applying digital twins in nursing practice and education and summarized their application domains, methods, outcomes, and implications. A human digital twin is a virtual health replica modeled from real-world data. This study followed the 5-stage scoping review process proposed by Arksey and O'Malley. Two researchers independently conducted the literature search without restrictions on publication year. From April 1 to 15, 2026, the Cochrane Library, PubMed, Embase, CINAHL, ERIC, and RISS databases were searched, and 15 studies were ultimately included. Digital twin applications were identified in 3 major domains: clinical practice and patient-centered care, education and training, and decision-making and workflow management. Application methods and outcomes varied according to technological implementation and included (1) modeling and data-driven prediction, (2) development of immersive learning and practice-training environments, and (3) system integration and decision-support frameworks. In clinical settings, multimodal patient data can be analyzed using artificial intelligence and machine learning to generate a virtual persona resembling the patient, thereby facilitating real-time personalized nursing care and self-management. In educational settings, digital twins can provide realistic and safe learning environments that enhance training effectiveness. Digital twins show substantial potential to advance predictive and personalized nursing in both clinical practice and education. Their data-driven capabilities are expected to contribute to innovative applications in future nursing practice and educational environments.","url":"https://doi.org/10.3352/jeehp.2026.23.13","authors":["Ahmad Fakhzan Lim Ahmad Fahmi Lim","Hyun Kyoung Kim"],"tags":["Workflow","Computer science","Clinical Practice","Nursing practice","Digital health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3352/jeehp.2026.23.13","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.1021/acsomega.6c00575","name":"An Enhanced CAPE-OPEN-Based Digital Twin Platform Architecture for Chemical Processes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsomega.6c00575","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acsomega.6c00575","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-10273801/v1","name":"A stochastic, physiology-based digital twin model of hemostasis and oxygenation in trauma resuscitation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10273801/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10273801/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-9929298/v1","name":"A Predictive Human Digital Twin Framework for Cognitive and Stress State Dynamics","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9929298/v1","authors":["Aylin Demir"],"tags":["Computer science","Cognitive architecture","Cognition","Workload","State (computer science)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9929298/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.3389/frai.2026.1834771","name":"A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation.","source":"europepmc","abstract":"Promoting healthy lifestyle behaviors such as physical activity, sleep, diet quality, stress management, hydration, and healthy habits requires adaptive systems capable of responding dynamically to changing behavioral and environmental conditions. However, the development and evaluation of personalized recommendation systems are challenged by fragmented observational data, privacy constraints, delayed feedback, and ethical limitations associated with long-term human experimentation. To address these challenges, this study proposes a digital twin-driven reinforcement learning framework for generating personalized behavioral recommendations in a fully simulated and statistically validated environment. The proposed framework formulates personalized behavioral recommendation as a stochastic Markov Decision Process (MDP) incorporating adherence uncertainty, behavioral drift, environmental modulation, and engagement dynamics. Synthetic longitudinal behavioral trajectories are generated through a digital twin simulator that models demographic heterogeneity, lifestyle behaviors, contextual variables, and variability in policy adherence over time. The optimization objective is defined through an effective reward formulation that balances behavioral compliance gains against penalties associated with health and environmental constraint violations. This study implements several reinforcement learning (RL) paradigms under simulated conditions, such as multi-armed bandits, table-based Q-learning, State-Action-Reward-State-Action (SARSA), function approximation-based temporal difference (TD) learning, and deep Q-learning network (DQN). The results demonstrate that richer state representations and context-dependent action dynamics are necessary for higher-capacity reinforcement learning models to consistently outperform simpler baselines. Furthermore, this study provides a reproducible method for comparing learning dynamics, performance, and computational cost in digital twin-based recommender systems. The framework additionally supports privacy-preserving experimentation through the exclusive use of synthetic behavioral data and locally controlled simulation environments.","url":"https://doi.org/10.3389/frai.2026.1834771","authors":["Ayan Chatterjee","Nurilla Avazov"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1834771","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-62561-9","name":"Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-62561-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-62561-9","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202605.2031.v1","name":"Beyond Compliance: Skeptical Intelligence for Digital Twin Governance in Critical Infrastructure","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.2031.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.2031.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.04.24.26351177","name":"A Digital Twin for Tracking and Forecasting Glycemia with Septic Patients in ICUs","source":"europepmc","abstract":"Abstract We present a digital twin framework for real-time glucose monitoring and forecasting in septic patients in intensive care units (ICUs). The framework combines advanced machine learning models trained on continuous glucose measurements with a dynamic transfer-learning workflow that enables rapid deployment to individual patients and supports personalized, adaptive, and predictive clinical decision-making. Built on a foundation model—a pretrained time-series transformer—the digital twin continuously updates its parameters as new patient data arrive and produces rolling near-term forecasts in real time. To assess adaptability and computational efficiency, we deployed the pretrained model to ten septic patients and evaluated multiple retraining strategies, including zero-shot inference, linear probing, and full and staged fine-tuning. Results show that the model can be initialized and personalized for a new patient within seconds on a standard laptop while achieving accurate glucose forecasts under varying data conditions. These findings demonstrate the feasibility of real-time model personalization in resource-constrained, high-acuity environments and highlight the potential of digital twins as scalable, AI-enabled platforms for continuous physiological monitoring, clinical decision support, and individualized treatment design in the ICU.","url":"https://doi.org/10.64898/2026.04.24.26351177","authors":["Xiang Cao","Chao Cai","Jianguo Hou","Xinhang Wei","Qi Wang"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.04.24.26351177","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10080924/v1","name":"Digital Twin-Driven Multi-Objective Optimization of Milling Parameters Under Small-Sample Conditions","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10080924/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10080924/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1007/s10439-026-04107-8","name":"Developing a Digital Twin of the Cardiopulmonary System in a Mouse: Inferring Hemodynamics from Sparse Measurements.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10439-026-04107-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10439-026-04107-8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1038/s41598-026-57316-5","name":"Digital twin for scenario-based design evaluation of manufacturing robotic fleets and factory layouts.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-57316-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-57316-5","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-9316247/v1","name":"Digital Twin Analysis of the “Truth Gap” in Maritime PM2.5 Sensors","source":"europepmc","abstract":"Abstract The deployment of federal air quality monitoring networks in humid maritime environments faces an intrinsic issue of data integrity due to the presence of optomechanical artifacts induced by humidity, resulting in the emergence of the ''Truth Gap'' in data series generated by low-cost sensors (LCS). In this research paper, we provide a physics-based deterministic understanding through the creation of a forensic digital twin (FDT) model for simulating the micro-scale processes occurring in the optical sensing unit. FDT modeling is based on the precise optomechanical characteristics of industrial-grade sensors, such as the input power of the laser source and angular aperture of the detection area. Using \\((\\kappa)\\)-Köhler theory and the Lorentz–Lorenz mixture rule, the FDT simulation takes into account the hygroscopic growth phenomenon and its impact on the optical softening process of aerosols in the maritime environment. Using the decomposition method in the simulation of Mie scattering, an important phenomenon of radiative intensity increase by 59.5% (Optical Bloom) at 76.09% relative humidity can be observed. The study demonstrates that the truth gap emerges as a structural outcome of the Mass–Intensity Divergence factor with the value of 4.3. It means that water molecules, bonded in mass, were mistakenly detected as industrial particulates. This forensic simulation clarifies the system topology for the errors induced by moisture in the atmosphere.","url":"https://doi.org/10.21203/rs.3.rs-9316247/v1","authors":["Kunal Goyal"],"tags":["Computer science","Divergence (linguistics)","Process (computing)","Software deployment","Remote sensing"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9316247/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.3233/shti260538","name":"Designing a Digital Twin for Equitable Blood Donation Logistics in Geneva.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260538","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260538","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2196/93135","name":"Digital Twin-Based Virtual Hospital Platform for IT Outage Disaster Response Training: Implementation and Evaluation Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/93135","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/93135","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-53111-4","name":"A digital twin-driven computation and analysis framework for low-altitude airspace.","source":"europepmc","abstract":"This study aims to address critical challenges in low-altitude airspace management, including high dynamic complexity, substantial safety hazards, and information fragmentation, and proposes a digital twin-enabled computation and analysis framework. The proposed framework adopts a four-layer digital twin architecture, enabling high-fidelity spatial mapping through multi-source heterogeneous data fusion, unified spatiotemporal representation, dynamic evolution modeling, and bidirectional physical-virtual closed-loop interaction. The proposed framework also incorporates intelligent components: a bidirectional GRU-Seq2Seq trajectory prediction model and a Kalman filter-based error compensation mechanism, supporting quantitative resource assessment, real-time trajectory analysis, and conflict warning. The proposed framework is verified experimentally in three operational scenarios: conventional single-target flight, multi-target cooperative flight, and extreme weather interference. Experimental results demonstrate that the proposed method has an average trajectory prediction error of 1.52 m under standard conditions, achieving a reduction of 47.9% compared to the Transformer baseline (2.36 m), 38.7% compared to ST-GCN (2.48 m), and 42.2% compared to the traditional geometric twin (2.63 m). Furthermore, the proposed method consistently maintains a low error across varying prediction horizons (5-15 s), with a maximum error of only 3.9 m at 15 s, significantly outperforming Transformer (4.3 m), ST-GCN (4.6 m), and the traditional geometric twin (6.3 m) models. In challenging scenarios involving GPS denial and communication interruption, the proposed method maintains superior robustness, with an average error of 2.15 and 2.38 m, respectively, which are markedly lower than those of competing methods. The results confirm that the proposed method outperforms both traditional geometric twin and deep learning-based approaches in key performance metrics, including position accuracy, prediction stability, and robustness, which validates its efficacy and practical suitability for low-altitude airspace management tasks.","url":"https://doi.org/10.1038/s41598-026-53111-4","authors":["Zhenghan HE","Weibin ZHANG","Peng DU","Zhiyong Liu"],"tags":["Computer science","Global Positioning System","Computation","Kalman filter","Trajectory"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-53111-4","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/s26134285","name":"Trajectory Planning for a Spraying Robotic Arm Using a Digital Twin and an Improved SAC Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134285","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26134285","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-9558325/v1","name":"Harnessing Digital Twin Technology for Intelligent Maintenance and Design of PMSM","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9558325/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9558325/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10573752/v1","name":"Digital Twin Fidelity When Predicting Vessel Service Time For Roll-on Roll-off Shipping","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10573752/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10573752/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.2196/87768","name":"AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/87768","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/87768","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/s26103060","name":"Digital Twin-Enabled Waveform Optimization for VHF Radio Communication Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103060","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26103060","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1109/mcg.2026.3701284","name":"Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/mcg.2026.3701284","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1109/mcg.2026.3701284","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1155/ijta/2299762","name":"Application of Digital Twin Technology to Enhance Chronic Diseases Management: A Systematic Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1155/ijta/2299762","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1155/ijta/2299762","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s10354-026-01176-1","name":"A One Health digital twin framework for leprosy: linking host, pathogen, and population dynamics.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10354-026-01176-1","authors":["Ruqaiyyah Siddiqui","Naveed Ahmed Khan"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10354-026-01176-1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.3389/fpls.2026.1864757","name":"Dynamic, adaptive and modular Digital Twin framework for resource-efficient Controlled Environment Agriculture.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1864757","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1864757","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1371/journal.pone.0352787","name":"Modelling and simulation of smart city drainage system based on digital twin five-dimensional models.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0352787","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0352787","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/s26165284","name":"A Digital Twin-Driven Sensing and Fuzzy Decision Framework for Safety Monitoring of Autonomous Mobile Robot Systems in Intralogistics.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165284","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26165284","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.isci.2026.116855","name":"Beyond resolution: Multi-scale weather and climate data for alpine renewable energy in the digital twin era.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.116855","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.isci.2026.116855","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.20944/preprints202607.1467.v1","name":"Digital Twin-Based Design and Validation of a Collaborative Robotic Cell for Automated Chocolate-Bar Unwrapping","source":"europepmc","abstract":"This paper presents the design, simulation, and validation of a hybrid automated workstation for unwrapping chocolate bars, migrating from a highly variable two-operator manual process to an optimized single-operator human–robot collaborative cell. Using a digital twin methodology, the system was evaluated across two complementary platforms: Process Simulate, for kinematic path planning and collision analysis, and Plant Simulation, for discrete-event throughput analysis. The automated cell integrates a five-axis UFactory xArm 5 robotic arm fitted with a custom three-finger gripper that performs a specialized \"snap-and-slide\" extraction sequence, together with a gravity-fed sorting hopper, an infrared proximity sensor for object detection, a FLIR A35 thermal-imaging camera for automated rejection of heat-softened bars, and an SMC ZH10DS vacuum-assisted waste-disposal unit. Kinematic validation in Process Simulate confirmed collision-free trajectories and a cycle time of 9.6 s per bar, a 20% improvement over the 12 s manual baseline. Plant Simulation runs over a 30-minute production window demonstrated system resilience under varying defect rates, yielding 47, 44, and 38 finished units for low (10%), medium (15%), and high (20%) rejection scenarios, respectively, while the nominal baseline run produced 350 units against the target KPI. The resulting design reduces direct labor requirements by 50%, removes repetitive-motion ergonomic risk, and provides a validated, scalable automation blueprint for future production growth.","url":"https://doi.org/10.20944/preprints202607.1467.v1","authors":["Antonio Carlos Bento","María Fernanda Ruiz Cedillo","Ignacio Vázquez Cortés","Isabela Varela Villegas"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1467.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.0433.v1","name":"A Validated Full-Powertrain Digital Twin for an Electric Motorcycle Under Sub-Saharan African Operating Conditions","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0433.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0433.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1097/prs.0000000000013311","name":"Surgeon-Created Digital Twin: AI-Generated Video Avatars for Plastic Surgery Education.","source":"europepmc","abstract":"Artificial intelligence (AI) has emerged as a tool to augment plastic and reconstructive surgery (PRS) education. AI-generated videos (AIVs) are entirely or partially created using machine learning to generate frames, scenes, or sequences depicting either fictional or realistic footage. Deepfakes are AI-generated audiovisual content in which a real person’s identity or likeness, such as their face, voice, or expressions are altered or synthesized to convincingly make it appear as though they said or did something they did not.While legitimate concerns exist regarding their authenticity, AIVs and deepfakes can disseminate information using a realistic human avatar with minimal time constraints. In this study, we demonstrate the ability of AI-simulated videos to deliver educational content using a board-certified PRS surgeon who trained the AI as the avatar. By leveraging AIV technology, this study highlights a new approach to patient education with implications for virtual consultation and content creation in PRS. This method also addresses the evolving role of information sharing and marketing in PRS while focusing on maintaining professional standards and ethical integrity.","url":"https://doi.org/10.1097/prs.0000000000013311","authors":["Ashton Rosenbloom","Daniel Najafali","Barbara Mera","Amir H. Dorafshar"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1097/prs.0000000000013311","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1038/s44401-025-00060-1","name":"Design for a digital twin in clinical patient care.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44401-025-00060-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44401-025-00060-1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.3390/s26113293","name":"A Digital Twin Framework for Structural Health Monitoring of Existing Large-Span Bridges.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113293","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113293","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1364/oe.590438","name":"Toward an evolvable digital twin: a knowledge-driven architecture for optical manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/oe.590438","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1364/oe.590438","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.aohep.2026.102216","name":"Digital twin frameworks for Hepatitis C: Toward predictive and personalised management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.aohep.2026.102216","authors":["Ruqaiyyah Siddiqui","Naveed Ahmed Khan"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.aohep.2026.102216","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.21203/rs.3.rs-10306493/v1","name":"ADONIS: Adaptive Digital Twin-Driven Orchestration for Network-Intelligent Slicing in 6G Edge Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10306493/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10306493/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-43923-9","name":"A preliminary model to establish a digital twin for coffee roasting.","source":"europepmc","abstract":"The coffee industry has an economic impact of over 100 billion dollars per year, making it one of the most valuable markets in the world. Coffee roasting is a crucial step that occurs before the extraction process and is essential to the final quality of the coffee. The roasting of green coffee beans is a complex process involving various chemical reactions that play a crucial role in determining the taste, colour and aroma of the coffee. It consists of three steps: drying, roasting and cooling. All of them are characterised by heat and mass transfer. Heat transfer during the roasting process significantly influences the flavour profile of a coffee cup. The main chemical reaction that occurs during roasting is known as the \"Maillard reaction\", which is fundamental for the sensory profile of roasted coffee. In this study, we first introduce a mathematical model for coffee roasting based on the chemical dynamics of key compounds. The kinetic model is used to determine the variation in concentration of the main chemical substances that characterise the taste and aroma of coffee. The calibration of the model is obtained through an optimisation procedure, capable of estimating the kinetic rate constants. Real data from chemical analyses carried out on coffee samples at the end of the roasting process were used to support the calibration phase, while the initial chemical composition of green coffee was obtained from the ranges available in the literature.","url":"https://doi.org/10.1038/s41598-026-43923-9","authors":["Manuel Jonathan Bruno","Nadaniela Egidi","Lorella Fatone","Josephin Giacomini","Pierluigi Maponi","Gianni Sagratini","Agnese Santanatoglia","Edin Trebovic"],"tags":["Roasting","Aroma","Flavour","Process (computing)","Chemistry"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-43923-9","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.20944/preprints202606.0848.v1","name":"Digital Twin Technology in Pipeline Engineering: A Study Review of Applications, Challenges, and Future Directions","source":"europepmc","abstract":"Digital Twin (DT) technology has emerged as a transformative approach in pipeline engineering, enabling real-time monitoring, predictive analytics, and enhanced decision-making across the asset lifecycle. This review critically examines recent advancements in the application of digital twins for pipeline systems, with a particular focus on condition monitoring, leak detection, corrosion assessment, and predictive maintenance. The study synthesizes findings from a wide range of literature to identify key enabling technologies, including Internet of Things (IoT) sensors, data-driven modeling, computational fluid dynamics (CFD), and machine learning algorithms. Special attention is given to the integration of physics-based and data-driven models for improving the accuracy and reliability of digital twin frameworks. In addition, this paper proposes a unified reference architecture for pipeline digital twins, supported by a mathematical formulation of synchronization and a comparative synthesis of existing approaches. The review highlights how digital twins facilitate early fault detection and operational optimization by continuously synchronizing physical assets with their virtual counterparts. The review also emphasizes the importance of uncertainty-aware and reliability-informed digital twin frameworks for robust decision-making in safety-critical pipeline applications. Applications in subsea, oil and gas, and water distribution pipelines are explored, demonstrating the versatility of DT systems under different environmental and operational conditions. Despite significant progress, challenges remain in data integration, model validation, scalability, and cybersecurity. Furthermore, the lack of standardized architectures and interoperability frameworks limits widespread adoption. This paper concludes by outlining future research directions, including the development of hybrid modeling techniques, edge computing integration, and AI-driven autonomous decision systems. Overall, digital twin technology represents a paradigm shift in pipeline engineering, offering substantial potential to enhance safety, efficiency, and sustainability in complex infrastructure systems.","url":"https://doi.org/10.20944/preprints202606.0848.v1","authors":["Hamed Azimi","Rahim Shoghi","Hodjat Shiri"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.0848.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10494550/v1","name":"Simulation-Driven Design of Stress Adaptive Bio-sensing Architectures for Digital-Twin Systems in LMIC Contexts","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10494550/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10494550/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202606.1257.v1","name":"Digital Twin Applications in Smart Cities: Mapping Global Research Trends and Emerging Frontiers","source":"europepmc","abstract":"This study is anchored in the quest to systematically chart the academic territory of digital twin technology applications in smart city development. It aims to elucidate the extent and focus of scholarly discourse, pinpointing key thematic developments and assessing their evolution over time. This study conducts a bibliometric analysis using literature focusing on the period 2018–2024 of research on digital twins and smart cities. The most frequently used Scopus database was used to extract bibliometric data. 422 ar-ticles were considered for analysis. This study utilizes co-authorship, co-occurrence, citation analysis, and bibliographic coupling of author keywords while graphically mapping the bibliographic material using BiblioMagika software. This study identified the authors, institutions and countries that publish the most globally on the topic of Digital Twins and Smart Cities. The results revealed that most of the published articles come from China. The other highly ranked countries by origins of studies on Digital Twins and Smart Cities were found to be the USA and Italy all of which are developed nations or economies. The study makes significant and emergent contributions by building on the research area as well as providing a reference point for the interpretation of findings, as well as directions for future research.","url":"https://doi.org/10.20944/preprints202606.1257.v1","authors":["Choeu Tshepisho Makabate","Khululekani Ntakana","Aidi Ahmi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1257.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.34133/csbj.0103","name":"Digital Twin Monitoring System for Chronic Disease Patients: A Simulation-Based Proof of Concept.","source":"europepmc","abstract":"","url":"https://doi.org/10.34133/csbj.0103","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.34133/csbj.0103","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/s26123948","name":"Observability- and Identifiability-Guided Sensor-Set Design for Digital-Twin-Assisted Consolidated Bioprocessing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123948","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123948","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3233/shti260127","name":"AI and Digital-Twin Synergy for Field Optimisation for Targeted Drug Delivery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260127","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260127","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1111/jce.70410","name":"Digital Twin Guided Ventricular Tachycardia Ablation: Design and Rationale of the APOLO-VT Trial.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/jce.70410","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1111/jce.70410","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1007/s00464-026-13178-6","name":"Development and validation of an artificial intelligence-powered 3D digital twin for teaching and assessing retraction for laparoscopic cholecystectomy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00464-026-13178-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00464-026-13178-6","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3791/71076","name":"Development of a Control-Aware Digital Twin Framework for Real-Time Monitoring and Optimization of Oil and Gas Production Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3791/71076","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3791/71076","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1021/acs.jafc.6c05432","name":"Data-Driven Digital Twin for Amylosucrase from Deinococcus geothermalis: Accelerating Acceptor Discovery in Transglycosylation Reactions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.jafc.6c05432","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acs.jafc.6c05432","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-50381-w","name":"A remote Digital Twin interaction system based on virtual mobile infrastructure.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-50381-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-50381-w","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.18502/ijpa.v21i2.22091","name":"Persistent Worms, Cumulative Injury: A Digital Twin Approach to Onchocerciasis.","source":"europepmc","abstract":"The Article Abstract is not available.","url":"https://doi.org/10.18502/ijpa.v21i2.22091","authors":["Ruqaiyyah Siddiqui","Maryam Niyyati","Naveed Ahmed Khan"],"tags":["Onchocerciasis","Medicine","Geography","Demography","Optometry"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.18502/ijpa.v21i2.22091","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"doi:10.1016/j.ejrad.2026.112865","name":"Digital twin applications in radiology and radiotherapy: Applications, challenges, and future perspectives.","source":"europepmc","abstract":"Digital twin technology has emerged as a transformative innovation in healthcare, offering virtual replicas of physical entities at patient-level, equipment-level, and departmental-level that enable real-time monitoring, prediction, and optimisation. This narrative review synthesizes current evidence on digital twin maturity and clinical translation in radiology and radiotherapy. A comprehensive literature search was conducted across PubMed, Scopus, IEEE Xplore, and Web of Science databases for peer-reviewed articles published from 2018 onwards. The review reveals that digital twin applications in radiology remain predominantly experimental, with equipment-focused implementations (predictive maintenance, workflow optimization) showing greater maturity than patient-level applications. In radiology, emerging applications include personalised imaging protocol optimisation, predictive equipment maintenance, dose management, and workflow enhancement. In contrast, radiotherapy demonstrates more advanced patient-level digital twin integration, facilitating individualised treatment planning, real-time dose adaptation, treatment response prediction, and quality assurance. DT-aligned adaptive radiotherapy report improved local/locoregional control in the low-teens to ∼18% relative range, alongside clinically meaningful toxicity-risk reductions in selected endpoints, while maintaining lower radiation dose to organs. Key benefits include improved patient outcomes, reduced radiation exposure, enhanced treatment precision, and optimised resource utilisation. However, critical gaps persist in standardized validation frameworks, interoperability standards, and regulatory guidance. Implementation faces challenges including data integration complexity, computational requirements, regulatory uncertainties, and domain-specific barriers differing between radiology and radiotherapy contexts. Successful clinical translation requires addressing technical infrastructure gaps, establishing evidence-based validation protocols, and developing reimbursement mechanisms that recognize digital twin value. Digital twin technology demonstrates substantial potential for advancing precision medicine in imaging and radiation oncology.","url":"https://doi.org/10.1016/j.ejrad.2026.112865","authors":["David B. Olawade","Oluwatosin Akinro","Emmanuel Ojeabuo Oisakede","Oluwakemi Jumoke Bello","Claret Chinenyenwa Analikwu","Eghosasere Egbon"],"tags":["Medicine","Medical physics","Radiology information systems","Radiology","MEDLINE"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ejrad.2026.112865","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"doi:10.1093/milmed/usag255","name":"Emergenet: A Digital Twin of Influenza A Evolution for Vaccine Strain Forecasting and Emergence Risk Assessment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/milmed/usag255","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/milmed/usag255","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202607.1597.v1","name":"Foundation of Digital Twin Reduced-Order Modelling for Laminate Thickness–Stress Analysis in Wind Turbine Blades","source":"europepmc","abstract":"Renewable energy sources are expanding rapidly, with wind energy representing one of the fastest-growing sectors. In parallel, digital twins are transforming structural monitoring and inspection by enabling near real-time structural assessment. However, the high computational cost associated with high-fidelity numerical models requires reduced-order or surrogate modelling strategies. Within this context, composite laminate thickness plays a critical role in wind turbine blade design and assessment. In this study, a computational fluid dynamics (CFD)-based numerical model developed in ANSYS was employed to predict von Mises stresses in a three-dimensional wind turbine blade geometry derived from the Carbo4Power project. The numerical results were validated against published literature, enabling identification of a thickness–stress relationship. This foundational analysis supports the development of reduced-order models suitable for digital twin applications in wind turbine blade structural assessment.","url":"https://doi.org/10.20944/preprints202607.1597.v1","authors":["Z. Zhang","V. Brachetta","M. Gee","F. P. Garcia Marquez","M. Papaelias"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1597.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.1929.v1","name":"ElasticGS: Pose-Aware Dynamic Gaussian Adaptation for Geometry-Consistent Human Digital Twin Reconstruction from Monocular Video","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1929.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1929.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-53028-y","name":"Digital twin- enabled intelligent HMI for real-time industrial automation systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-53028-y","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-53028-y","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.21203/rs.3.rs-8924001/v1","name":"A Digital Twin of the FPGA Digital Signal Processing Chain for MKIDs Readout: Root-Cause Analysis and Mitigation of Spurs","source":"europepmc","abstract":"Abstract The KID_READOUT board, developed for the CONCERTO millimeter-wave astronomy instrument, implements FPGA-based digital frequency multiplexing to read out large arrays of Microwave Kinetic Inductance Detectors (MKIDs).The complexity of the implemented multirate DSP chain, which combines tones synthesis, interpolation, digital frequency translation, polyphase filter-bank (PFB) channelization, and digital down-conversion (DDC), makes analytical performance optimization difficult.To address this, we developed a cycle- and bit-accurate, Python-based digital twin of the FPGA readout firmware DSP chain.Using this model, we identified the origin of previously measured and unexplained spurs in the readout channels, tracing them to periodicity mismatches between the excitation and analysis paths and to insufficient suppression of negative-frequency components by the DDC filters.Based on these insights, we implemented a mitigation strategy that aligns the periodicities and improves the DDC filter characteristics, effectively eliminating the spurs with a minor increase in FPGA resource usage.","url":"https://doi.org/10.21203/rs.3.rs-8924001/v1","authors":["Mounir Abdkrimi","Olivier Rossetto","Olivier Bourrion","Christophe Vescovi","Christophe Hoarau"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8924001/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-51793-4","name":"Quantum-safe cyber digital twin architectures for proactive threat forecasting and adaptive defense.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-51793-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-51793-4","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1055/a-2876-1132","name":"A Digital Twin Navigation System for Hospital Supply Rooms: 3D Spatial Guidance Tool.","source":"europepmc","abstract":"","url":"https://doi.org/10.1055/a-2876-1132","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1055/a-2876-1132","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-9228048/v1","name":"Digital Twin Architectures for Remote Monitoring and Control in CNC Manufacturing Systems: A Systematic Review","source":"europepmc","abstract":"Abstract Digital Twin (DT) technology has become a key enabler of smart manufacturing; however, its application in Computer Numerical Control (CNC) systems remains largely limited to monitoring and predictive tasks rather than real-time control. This limitation is particularly critical for remote operation of multi-axis CNC machines, where latency and synchronization directly affect control performance. This paper presents a systematic review of Digital Twin architectures for CNC machine tools, focusing on their suitability for remote monitoring and control. A PRISMA-based methodology is adopted to ensure a transparent and reproducible study selection process. The selected works are analyzed from an architectural perspective, considering system structure, communication protocols, synchronization strategies, and control integration. The results indicate that most existing implementations are not designed for time-critical closed-loop control and exhibit significant latency constraints. Cloud-based architectures typically introduce delays ranging from tens to hundreds of milliseconds, whereas edge-based approaches reduce latency to a few milliseconds, highlighting a trade-off between scalability and real-time performance. The study identifies key research gaps and emphasizes the need for hybrid edge–cloud Digital Twin architectures capable of supporting reliable and low-latency remote CNC control.","url":"https://doi.org/10.21203/rs.3.rs-9228048/v1","authors":["Omar A. Hashem","A. M. Bassiuny","Hussein M.A. Hussein","Ghada A. Elgamal"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9228048/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-10025071/v1","name":"Digital Twin-Driven Neuromorphic Optimization for Cognitive Self-Optimizing Energy-Efficient Vehicle Design","source":"europepmc","abstract":"Abstract As electric and autonomous vehicles grow rapidly, there's a need for better design methods to maximize energy, stability and comfort across many types of driving situations. Traditional vehicle design typically uses static design parameters or heuristically based optimization techniques which are not able to respond dynamically to the different operational scenarios; for example, an electric vehicle would have a different Operating Range in stop and go versus cruising at high speeds to negotiating over complex terrain. This paper presents a temporal LSTM-based optimization framework for scenario-adaptable digital twin vehicle design. The primary purpose of this study is to develop an integrated framework for optimizing vehicle energy consumption, stability, comfort as well as manufacturability using properly defined and validated multi-objective engineering aware loss functions to yield a balanced trade-off amongst all four objectives. Using accurate high-fidelity simulations of the digital twin vehicles to evaluate the vehicle in real-time during different driving cycles and temporal (historical) models to describe how the system responds over time provides real-time decision-making capability for vehicle operators. The method we used has been proven to work better than other less complex methods for reducing energy by an average of 14.41%. The way this was done is through ablation studies that confirm the key roles of temporal sequence modelling and stability-aware optimization. The new framework allows for reusable maps from driving-cycle changes to optimized vehicle parameters, which means that vehicles can be designed to adapt to different driving conditions. In addition to providing design guidelines for intelligent transportation systems, this work provides a structured approach to develop robust, energy-conserving, and cost-effective vehicles. Future developments will extend the capabilities of this method into high-fidelity simulation, validation in the real-world environment, and further development of autonomous and electrification vehicle technologies.","url":"https://doi.org/10.21203/rs.3.rs-10025071/v1","authors":["MAISA BINTHA MAHMUD","S.M SHAHABUDDIN","MUSHFIQUE BIN ALAM","Muhammad Rashid Majeed","Md Owahedur Rahman"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10025071/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s44401-026-00109-9","name":"Enhancing the resilience of remote patient monitoring and hospital-at-home systems: a digital-twin-based framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44401-026-00109-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44401-026-00109-9","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1177/15209156261432144","name":"Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/15209156261432144","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/15209156261432144","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.20944/preprints202607.1479.v1","name":"A Multi-Layer Digital Twin Framework for a Confectionery Preparation Cell with AI-Assisted SCADA 4.0 Monitoring","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1479.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1479.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10547428/v1","name":"AI-Driven Digital Twin Framework for Multi-Objective Optimization of Hybrid Cooling Channels in Intelligent Mechanical Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10547428/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10547428/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1099/jmm.0.002143","name":"A digital twin for &lt;i&gt;Escherichia coli&lt;/i&gt; K1 neonatal meningitis.","source":"europepmc","abstract":"Graphical Abstract","url":"https://doi.org/10.1099/jmm.0.002143","authors":["Ruqaiyyah Siddiqui","Naveed Ahmed Khan"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1099/jmm.0.002143","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26144410","name":"Digital Twin-Based Virtual Reality Framework for Interaction and AI-Assisted Control of a Parallel Surgical Robot.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144410","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26144410","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-10074451/v2","name":"InSilico-K digital twin platform for optimizing neoadjuvant regimens and surgical de-escalation in lung cancer","source":"europepmc","abstract":"Abstract This study establishes the InSilico-K digital twin platform, designed to evaluate neoadjuvant therapeutic combinations to enable surgical de-escalation for early-stage EGFR-mutated non-small cell lung cancer. Integrating structural molecular binding metrics with macro-environmental biophysical constraints, the framework simulates the dynamic decompression of tumor interstitial fluid pressure via angiotensin receptor blockade. By computing continuous tissue diffusion coefficients for high-molecular-weight therapeutics, the engine maps cumulative receptor occupancy to a pathological complete response probability, termed InSilico-pCR. Grounded in established trials demonstrating the lack of therapeutic efficacy in extensive tissue dissections for clinically N0 disease, this exploratory framework redefines the pre-operative objective. The platform hypothesizes a paradigm shift from aggressive tissue debulking to a minimalist, targeted resection—conceptually defined here as \"Adjuvant Surgery\"—offering a rigorous computational foundation for future window-of-opportunity translational trials.","url":"https://doi.org/10.21203/rs.3.rs-10074451/v2","authors":["Junichi Shimada"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10074451/v2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1371/journal.pdig.0001445","name":"A digital twin approach for simultaneous reconstruction of brain anatomy and dynamics from neural data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pdig.0001445","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pdig.0001445","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s44401-026-00118-8","name":"Human-in-the-loop AI predictive digital twin to extend virtual precision diabetes care between visits.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44401-026-00118-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44401-026-00118-8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/s26072023","name":"Real-Time Digital Twin Architecture for Immersive Industrial Automation Training.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072023","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26072023","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1109/tbme.2026.3711173","name":"Digital Twin Modeling of MR Gradient Coils for Accurate Gradient Safety Evaluation of Implantable Medical Devices.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tbme.2026.3711173","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1109/tbme.2026.3711173","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.diabres.2025.113075","name":"Digital twin paradigm in diabetes prediction and management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.diabres.2025.113075","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.diabres.2025.113075","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.21203/rs.3.rs-3865454/v2","name":"A Digital Twin Approach for Agile Additive Manufacturing of Automotive Components","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3865454/v2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-3865454/v2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1371/journal.pone.0353835","name":"Investigating \"Another Me\" digital twin technology to support the development of human relationships: An exploratory randomized controlled study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0353835","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0353835","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-58348-7","name":"Digital twin-driven multiscale modelling for real-time defect prediction in metal additive manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-58348-7","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-58348-7","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202608.1536.v1","name":"A Modular Digital Twin Framework for Electric Vehicle Powertrains Using PyBaMM Battery Modelling and GYM Electric Motor Simulation","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1536.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1536.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9971735/v1","name":"Geometry-Aware Abdominal Aortic Aneurysm Digital Twin for Patient-Specific Wall Stress Mapping","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9971735/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9971735/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1109/jbhi.2026.3689171","name":"A Deep Hybrid Ensemble for Patient-Specific Glaucoma Detection in Digital Twin Ophthalmology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/jbhi.2026.3689171","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1109/jbhi.2026.3689171","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.20944/preprints202601.0031.v1","name":"Simulator-Based Digital Twin of a Robotics Laboratory","source":"europepmc","abstract":"Simulator‑based digital twins are widely used in robotics education and industrial development to accelerate prototyping and enable safe experimentation. However, they often hide implementation details that are essential for understanding, diagnosing, and correcting system failures. This paper introduces a technology‑independent model‑based design framework that provides students with full visibility of the computational mechanisms underlying robotic controllers while remaining feasible within a 150‑hour undergraduate course. The approach relies on representing controller behavior using networks of Extended Finite State Machines (EFSMs) and their stacked extension (EFS2M), which unify all abstraction levels of the control architecture—from low‑level reactive behaviors to high‑level deliberation—under a single formal model. A structured programming template ensures traceable, optimization‑free software synthesis, facilitating debugging and enabling self‑diagnosis of design flaws. The framework includes real‑time synchronized simulation, transparent switching between virtual and physical robots, and a smart data logger that captures meaningful events for model updating and error detection. Integrated into the Intelligent Robots course, the system supports topics such as kinematics, control, perception, and SLAM while avoiding dependency on specific middleware such as ROS~2. Results over three academic years indicate that students gain a deeper understanding of controller internals, and demonstrate improved ability to reason about system errors and their causes. The proposed environment thus offers an effective methodology for teaching end‑to‑end robot controller design through transparent, simulation‑driven digital twins.","url":"https://doi.org/10.20944/preprints202601.0031.v1","authors":["Lluís Ribas-Xirgo"],"tags":["Debugging","Robotics","Computer science","Robot","Abstraction"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.0031.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.21203/rs.3.rs-9918591/v1","name":"Experimental Implementation of the Quantum Volunteer's Dilemma on NISQ Hardware: Noise Analysis and Digital-Twin Validation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9918591/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9918591/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.22541/authorea.15007309/v1","name":"Adaptive Agentic AI-Driven Women's Digital Twin for Personalized High-Risk Pregnancy Prediction and Clinical Decision Support","source":"europepmc","abstract":"High-risk pregnancy remains a major global public health challenge due to its association with increased maternal and neonatal morbidity and mortality. Existing prediction methods primarily rely on static clinical data and conventional machine learning techniques, limiting their ability to support continuous monitoring, dynamic risk assessment, and personalized clinical decision-making. This study proposes an Adaptive Agentic AI-Driven Women’s Digital Twin framework for intelligent prediction and clinical decision support in high-risk pregnancy. The proposed framework integrates multimodal maternal healthcare data, including maternal clinical parameters and Cardiotocography (CTG) signals, to create a continuously updated digital representation of the patient. It employs an adaptive multi-agent architecture comprising monitoring, prediction, reasoning, recommendation, explanation, and feedback agents that collaboratively analyze patient data, estimate pregnancy risk, generate personalized recommendations, and continuously refine decision-making. Multiple machine learning and deep learning models are evaluated using Accuracy, Precision, Recall, F1-score, ROC-AUC, Sensitivity, Specificity, and Matthews Correlation Coefficient (MCC). Model transparency and clinical interpretability are enhanced through SHAP-based explainable artificial intelligence (XAI), enabling clinicians to understand key factors influencing predictions. Experimental results demonstrate that integrating multimodal data fusion with Women's Digital Twin technology and Agentic AI significantly improves prediction accuracy, continuous patient monitoring, individualized risk assessment, and clinical decision support.","url":"https://doi.org/10.22541/authorea.15007309/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/authorea.15007309/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1002/gch2.70141","name":"A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/gch2.70141","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/gch2.70141","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-10034990/v1","name":"A Physics-Informed Digital Twin Framework for Health Vigilance and Indoor Air Quality Decision Support in Healthcare-Oriented Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10034990/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10034990/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202605.1508.v1","name":"Observability- and Identifiability-Guided Sensor-Set Design for Digital-Twin-Assisted Consolidated Bioprocessing","source":"europepmc","abstract":"Consolidated bioprocessing (CBP) is difficult to monitor because enzyme production, lignocellulose degradation, sugar release, and fermentation occur simultaneously under sparse measurements, feedstock variability, and plant--model mismatch. This study proposes a computational sensor-set design framework for digital-twin-assisted CBP monitoring. A five-state virtual plant, consisting of active biomass, cellulolytic enzyme activity, remaining insoluble substrate, soluble sugars, and ethanol, was used to evaluate measurement packages ranging from ethanol-only sensing to full-proxy sensing. Candidate sensor sets were assessed using finite-difference output sensitivities, Fisher-information-based state observability and parameter identifiability analysis, parameter-correlation diagnostics, and unscented Kalman filter soft-sensing reconstruction. The results show that ethanol-only sensing is insufficient for state-aware CBP digital twins. At 6 h sampling, the state-observability log-pseudo determinant increased from 4.20 with ethanol-only sensing to 8.56 after adding soluble sugar, and to 16.42 with full-proxy sensing. Biomass and enzyme proxies contributed strongly to parameter learning, and the ethanol--sugar--biomass--enzyme package provided the best parameter identifiability across the sampling intervals. In the soft-sensing analysis, full-proxy sensing reduced the mean latent-state RMSE from 1.2080 to 0.5314 and gave the highest aggregate sensor value of 0.8144. The ethanol--sugar--biomass--enzyme package gave the best reduced sensor set, with a score of 0.7423 and lower measurement burden. Noise sensitivity analysis showed no ranking change under the tested noise levels, while cost-weight sensitivity analysis indicated ethanol--sugar--biomass as the preferred cost-sensitive package. The proposed framework provides a simulation-based method for prioritizing informative measurement packages before implementing CBP digital twins in laboratory and pilot-plant settings.","url":"https://doi.org/10.20944/preprints202605.1508.v1","authors":["Mark Korang Yeboah","Nana Yaw Asiedu","Ahmad Addo"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.1508.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-55412-0","name":"Digital twin-based multi-scale framework for seismic integrity assessment of deep underground caverns.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55412-0","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-55412-0","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-46719-z","name":"An implemented AI-driven digital twin architecture for proactive pavement maintenance in Finland.","source":"europepmc","abstract":"Traditional Pavement Management Systems (PMS) are increasingly hindered by aging infrastructure and reliance on reactive, manual inspection-based maintenance strategies. While Digital Twin (DT) technology offers a transformative pathway toward predictive management, existing implementations remain fragmented, often lacking holistic integration between Building Information Modeling (BIM), heterogeneous data sources, and advanced Artificial Intelligence (AI) analytics. To bridge this gap, this study develops and validates a comprehensive, web-based Intelligent Decision Support System (IDSS) founded on a novel four-layer Digital Twin architecture (Physical, Communication, Model, and Service layers). The methodology orchestrates a robust automated pipeline that integrates a sophisticated sequential AI processing chain-comprising generative data augmentation (Diffusion Models), real-time distress detection (YOLOv12) and semantic segmentation (DeepLabV3+), long-term performance prediction (LSTM), and meta-heuristic maintenance optimization (Grey Wolf Optimizer)-within a high-fidelity 3D BIM environment powered by Autodesk Platform Services. Results from a pilot implementation on the KT54 motorway in Finland demonstrate the system's capability to automate objective pavement condition assessment with high accuracy, substantiated by rigorous cross-dataset validation against independent field data and public datasets to ensure robust generalizability beyond the specific case study. The finalized interactive platform provides road authorities with unprecedented situational awareness, enabling real-time 3D monitoring, visualization of future deterioration trends, and the generation of cost-effective, proactive maintenance schedules under budget constraints. This research contributes a validated, scalable framework for transitioning infrastructure management from reactive approaches to a data-driven, predictive digital twin paradigm.","url":"https://doi.org/10.1038/s41598-026-46719-z","authors":["Mohammad Amin Talaghat","Amir Golroo","Vahid Shahhosseini","Mehdi Rasti"],"tags":["Computer science","Situation awareness","Field (mathematics)","Bridge (graph theory)","Implementation"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-46719-z","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1038/s41598-026-55594-7","name":"Integrating digital twin technology with deep reinforcement learning for sustainable marine fishery resource management.","source":"europepmc","abstract":"Marine fishery ecosystems face unprecedented pressure from overfishing and climate variability, and these mounting threats call for management tools that go beyond traditional static quota systems. This paper puts forward an integrated framework that couples digital twin (DT) technology with deep reinforcement learning (DRL) to tackle sustainable fishery resource management. We build a five-layer hierarchical architecture whose centerpiece is a high-fidelity digital twin that mirrors fishery dynamics through explicit state-transition and observation equations rather than abstract placeholders. A Proximal Policy Optimization (PPO) agent operates within this simulated environment, receiving multidimensional state inputs-resource stocks, oceanographic conditions, fleet operations-and optimizing a composite reward function whose weights we set to [Formula: see text] (economic), [Formula: see text] (ecological), and [Formula: see text] (sustainability). We conduct both comparative experiments and ablation studies using East China Sea fishery data spanning 2010-2023. The ablation study, which isolates the digital twin contribution by comparing PPO with and without DT integration, confirms that the DT alone accounts for a 31.9% reward improvement. Overall, our method achieves a resource recovery index (RRI) of 0.83, outperforming traditional maximum sustainable yield management by 97.6% and standard deep Q-networks by 36.1%. Spatial heatmaps and temporal effort-control time series generated from the learned policy reveal ecologically sensible seasonal and spatial harvest patterns. This research establishes a virtual-real fusion paradigm for intelligent fishery governance and provides decision-support tools for sustainability challenges in an era of accelerating environmental change.","url":"https://doi.org/10.1038/s41598-026-55594-7","authors":["Yu Chen","Lu Ke","Jianda Hu"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-55594-7","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/plants15131992","name":"Three-Dimensional Crop Phenotyping for Crop Protection: Reconstruction Routes, Decision Pathways, and Digital-Twin Maturity.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants15131992","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/plants15131992","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3389/fdgth.2026.1835028","name":"An intelligent digital twin framework with AI-driven optimization for patient flow and clinical scheduling in smart healthcare systems.","source":"europepmc","abstract":"The operation of the emergency departments at hospitals can be faced with many operational difficulties due to their unpredictable nature, resource scarcity, and increased pressure on services. In this paper, we propose a multi-level AI-enhanced digital twin framework to analyze the patterns of patient flow and clinical scheduling through a case study conducted with the help of three real-life datasets. Our framework incorporates three levels, namely temporal forecasting, clinical robustness, and outcome grounding, to generate an indication about hospital dynamics from real-life datasets. Temporal intelligence level incorporates an LSTM-based model that has shown competitive prediction performance (R² = 0.6785, MAE = 0.0895, RMSE = 0.1103). In addition, our clinical robustness level uses a triage dataset consisting of 560k records to generate an understanding of congestion pattern based on acuity and reveals that maximum congestion is observed at times ranging from 11:00 to 14:00 caused mainly by moderate-acuity patients (ESI-3). Results Layer. The results layer demonstrates the effect of the model, which shows that the mean waiting time is about 35 min. In addition, there is a negative association between the two variables—waiting time and patient satisfaction. Trend analysis across datasets reveals similarities in temporal trends, implying that the developed framework reflects representative features of the hospital environment. Generally, this study emphasizes the importance of incorporating AI-enabled predictions and digital twin models to aid decision-making concerning the analysis of patients' flow and assessment of scheduling policies.","url":"https://doi.org/10.3389/fdgth.2026.1835028","authors":["Stalin Victor Balthasar","Suguna Marappan","Logesh Ravi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1835028","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202608.0001.v1","name":"Digital Twin–Driven Design of Functionally Graded Additive Manufactured Structures for Deep Space Missions: A Review and Framework Perspective","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0001.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0001.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.64898/2026.06.07.730757","name":"A multimodal dataset for reconstructing common marmoset body–environment interactions in a 3D digital-twin framework","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.06.07.730757","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.07.730757","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3389/fmed.2026.1867368","name":"From virtual pregnancy to digital twin obstetrics: multimodal data integration for personalized prediction of pregnancy complications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmed.2026.1867368","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fmed.2026.1867368","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-10227456/v1","name":"Ampere: A Digital Twin-Enabled Cyber-Physical IoT Node for Environmental Health Monitoring in IoMT Systems","source":"europepmc","abstract":"Abstract The Internet of Medical Things (IoMT) has transformed clinical care through connected biosensors that continuously monitor patient vitals, yet the environmental conditions that fundamentally govern infection transmission, air quality degradation, and patient recovery remain outside its operational scope. In high-traffic healthcare and institutional settings, factors such as particulate contamination, volatile organic compound accumulation, and inadequate surface hygiene directly influence public health outcomes — but conventional infrastructure lacks the sensing, connectivity, and intelligence to detect or respond to these risks. This paper introduces the Internet of Environmental Medical Things (IoEMT), a framework that extends medical IoT from patient-worn devices to the built environment itself, enabling stationary infrastructure to sense, reason about, and autonomously respond to environmental health conditions in real time. To operationalize this framework, the Ampere node is presented: a cyber-physical smart hygiene system whose four-layer architecture unifies multi-modal environmental sensing (PM₂.₅, CO₂, VOC), adaptive airflow control, Far-UVC (222 nm) sterilization governed by occupancy-gated safety interlocks, smoothed and filtered sensor fusion for noise-robust state estimation, and MQTT-based telemetry within a single edge-intelligent device. A machine learning classification pipeline processes fused sensor streams to categorize ambient conditions into four hygiene triage levels — from nominal operation through to emergency alert — driving automated, context-aware facility responses without human intervention. A bidirectional Digital Twin architecture couples each deployed physical node to a continuously synchronized virtual replica, enabling remote facility monitoring, spatial anomaly visualization through interactive dashboards, and predictive maintenance across distributed institutional networks. A defense-in-depth security architecture addresses the unique threat surface of healthcare CPS nodes, where compromised actuators pose physical safety risks beyond conventional data breaches.","url":"https://doi.org/10.21203/rs.3.rs-10227456/v1","authors":["Sridatta Gorthi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10227456/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41598-026-57786-7","name":"Digital twin optimization of water supply pump stations considering energy use, water hammer, and lifespan.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-57786-7","authors":["Yongzeng Liu","Li Cheng","Kai Liu","Tan Zhou"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-57786-7","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202605.0772.v1","name":"Generative AI-Driven Digital Twin Architecture for Urban Mobility Simulation and Decision Support","source":"europepmc","abstract":"Urban mobility planning in smart cities requires sophisticated simulation tools, yet their complexity often creates a technical barrier for non-expert stakeholders. This paper presents a novel architecture that integrates generative artificial intelligence with digital twin technology to create an accessible and robust decision-support system. The framework employs a conversational AI agent based on Gemini 2.5 Flash Lite to interpret natural language intentions and translate them into validated simulation parameters. A critical safety layer, built using Pydantic, ensures that the agent’s stochastic outputs adhere to strict technical schemas and urban logic before execution. The underlying digital twin, developed with SimPy, NetworkX, and OSMnx, features a multi-source data integration strategy that includes demographic density (INE), tourism activity (ISTAC), and high-resolution traffic statistics (TomTom) to calibrate vehicle behavior. The architecture was validated through a Technology Readiness Level (TRL) 4 proof-of-concept in Las Palmas de Gran Canaria, simulating multimodal scenarios including buses, the future MetroGuagua (BRT), and pedestrian flows. Results demonstrate a 95.99% success rate in intent recognition and configuration mapping, with end-to-end execution times under 20 minutes for a 19-hour simulated day. This study demonstrates that LLM-driven orchestration, coupled with automated data pipelines and a decoupled microservice architecture, can democratize access to urban simulation, fostering more inclusive, agile, and evidence-based smart city governance.","url":"https://doi.org/10.20944/preprints202605.0772.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0772.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9891112/v1","name":"Overcoming Topographical Barriers in Heritage Tourism: A Non-invasive Digital Twin and XR Framework for Inclusive Accessibility","source":"europepmc","abstract":"Abstract Balancing heritage authenticity with accessibility presents a \"double constraint\" for historical sites restricted by complex topography and strict preservation laws. This study addresses this challenge by proposing a non-invasive \"Scan-to-Service\" framework that integrates LiDAR, Digital Twin (DT), and Extended Reality (XR) to revolutionize inclusive smart tourism. Using Taipei’s Treasure Hill Artist Village as a testbed, we developed a high-fidelity Digital Twin and an accessibility-optimized XR interface, subsequently validating the system's efficacy through the Task-Technology Fit (TTF) model with 36 elderly and mobility-impaired participants. Empirical results demonstrate that the virtual system significantly outperforms traditional physical tourism experiences. Notably, a surge in \"Technology Utilization\" scores confirms that such advanced tourism technology successfully unlocks latent demand previously suppressed by physical barriers, while business model analysis indicating a user preference for pay-per-use services suggests long-term economic sustainability. By establishing a comprehensive engineering workflow, this research theoretically extends the TTF model to the domain of inclusive heritage and demonstrates how automation can empirically realize spatial justice and cultural equity for marginalized groups.","url":"https://doi.org/10.21203/rs.3.rs-9891112/v1","authors":["Yi-kai Juan","Sung-Yi Chuang","Hao-Yun Chi","Yanqing Xu"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9891112/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-65003-8","name":"Advanced quantum computing-driven digital twin for energy and timing optimization in low-power VLSI circuits &amp;IoT devices.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-65003-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-65003-8","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-10074451/v1","name":"InSilico-K digital twin platform for optimizing neoadjuvant regimens and surgical de-escalation in lung cancer","source":"europepmc","abstract":"Abstract This study establishes the InSilico-K digital twin platform, designed to evaluate neoadjuvant therapeutic combinations to enable surgical de-escalation for early-stage EGFR-mutated non-small cell lung cancer. Integrating structural molecular binding metrics with macro-environmental biophysical constraints, the framework simulates the dynamic decompression of tumor interstitial fluid pressure via angiotensin receptor blockade. By computing continuous tissue diffusion coefficients for high-molecular-weight therapeutics, the engine maps cumulative receptor occupancy to a pathological complete response probability, termed InSilico-pCR. Grounded in established trials demonstrating the lack of therapeutic efficacy in extensive tissue dissections for clinically N0 disease, this exploratory framework redefines the pre-operative objective. The platform hypothesizes a paradigm shift from aggressive tissue debulking to a minimalist, targeted resection—conceptually defined here as \"Adjuvant Surgery\"—offering a rigorous computational foundation for future window-of-opportunity translational trials.","url":"https://doi.org/10.21203/rs.3.rs-10074451/v1","authors":["Junichi Shimada"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10074451/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-9820191/v1","name":"Digital Twin-Assisted Personalized Federated Reinforcement Learning for Cyber Defense in Internet of Medical Things","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9820191/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9820191/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26154992","name":"Vision-Based Digital Twin and AI Agent Framework for Low-Cost, Explainable Indoor Building Inspection and Safety Assessment.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154992","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26154992","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-8261287/v1","name":"QuanDT: Quantum Digital Twin with Applications to Smart Grid","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8261287/v1","authors":["Wenxuan Ma","Mengxiang Liu","Yu Shang","Kuan-cheng Chen","Yitian Zhou","Rong Guo","Yifan Liu","Ruilong Deng","Peng Cheng","J K Chen"],"tags":["Computer science","Quantum computer","Quantum","Distributed computing","Smart grid"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8261287/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1038/s41598-026-48915-3","name":"Digital twin analysis of graphene-silicon solar Schottky-heterojunction cell efficiency for terrestrial photovoltaics.","source":"europepmc","abstract":"Graphene–silicon (Gr–Si) Schottky heterojunction solar cells provide a promising solution for radiation-tolerant and efficient photovoltaic devices. The present study provides the combined predictive modelling and physical characterization to evaluate the degradation assessment of Gr–Si solar cells. The results show Gr–Si devices successfully retain over 84% of their original power conversion efficiency (PCE) at a radiation intensity in terms of fluence in the order of 1015 particles cm−2, compared to only 55% for silicon cells alone. X-ray diffraction (XRD), Raman spectroscopy, and Atom Probe Tomography (APT) showed that graphene retains the interface integrity and is efficient in suppressing radiation-induced imperfections. A physics-informed semi-empirical digital twin (DT) assessment carried out using synthetic degradation datasets and Random Forest Regression, performing prediction efficiency above 96% (R2 > 0.96). Degradation mathematical models were also formulated to describe the characteristics of open-circuit voltage (Voc), short-circuit current density ​(Jsc)​, Fill Factor (FF), and Power Conversion Efficiency (PCE) for defined duration. The experimental validation and machine learning combined assessment provides a robust methodology for real-time monitoring and life-cycle prediction of photovoltaic devices in rich-radiation environments.","url":"https://doi.org/10.1038/s41598-026-48915-3","authors":["Praveen Kumar Kanti","H. G. Prashantha Kumar","H. I. Elsaeedy","V. Vicki Wanatasanappan","Gabr Goshu Syum","Mohamed Bechir Ben Hamida"],"tags":["Photovoltaics","Solar cell","Photovoltaic system","Optoelectronics","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-48915-3","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.3390/membranes16050181","name":"Wastewater Membrane Bioreactors: A Comprehensive Review of Explainable Artificial Intelligence and Digital Twin Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/membranes16050181","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/membranes16050181","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.20944/preprints202608.1592.v1","name":"A Semantic Digital Twin Architecture for Smart Building Structural Health Monitoring: WoT-Driven Interoperability and Event–State Workflow Orchestration","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1592.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1592.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202606.0249.v1","name":"Enabling Safe Fast Charging of Lithium-Ion Batteries via a Simulation-Trained Digital Twin","source":"europepmc","abstract":"Fast charging of lithium-ion batteries is essential for accelerating a widespread use of electric vehicles; however, its adoption significantly increases battery thermal stress and the risk of thermal runaway, particularly in aged cells. This study proposes a sim-ulation-trained digital twin (DT) framework for probabilistic assessment of thermal runaway and critical charging current estimation under fast charging conditions. A dataset is generated using an electrochemical–thermal Single Particle model, varying current rate, capacity, and internal resistance, then, an encoder–decoder neural net-work architecture is developed to map and convert static operating conditions into dynamic temperature evolution, enabling efficient surrogate modeling of thermal be-havior. The proposed methodology provides a computationally efficient tool for risk-aware fast-charging strategies which can be integrated into battery management systems for enhanced safety. While the current study is applied to specific single cell chemistry and simulation-based training, the framework can be easily extended to other battery systems and operating conditions.","url":"https://doi.org/10.20944/preprints202606.0249.v1","authors":["Milad Tulabi","Roberto Bubbico"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.0249.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-9581508/v1","name":"ACDT-VIoT: Decision-Driven Digital Twin Synchronization for Edge Video IoT Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9581508/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9581508/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.08.14.744981","name":"From video-derived feeding behaviour to cow-level nutritional deviation signals: A dairy digital-twin decision-support framework","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.08.14.744981","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.14.744981","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.02.03.26345022","name":"Digital Twin Model of Treatment Outcomes in Post-Stroke Aphasia","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.02.03.26345022","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.02.03.26345022","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.1016/j.compbiolchem.2026.109074","name":"Medical digital twin insights: Enhancing cancer treatment through generative modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.compbiolchem.2026.109074","authors":["Panneerselvam Theivendren","Surabhi Panneerselvam","Selvaraj Kunjiappan","Deepalakshmi Mani","Arun Kanniyappan Parthasarathy"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.compbiolchem.2026.109074","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1093/nsr/nwag012","name":"Digital twin of the ocean as a catalyst for blue economy innovation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/nsr/nwag012","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/nsr/nwag012","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.3233/shti260193","name":"Physics-Informed Digital Twin of Maternal-Fetal Hemodynamics for Predictive Risk Simulation in Preeclampsia.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260193","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260193","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.3390/jimaging12070280","name":"Quantifying and Improving Stereo Camera Calibration Robustness: An Outlier-Aware Algorithm for Digital Twin Data Acquisition.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging12070280","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jimaging12070280","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.2105.v1","name":"From Digital Twin to AI-Integrated Control: A Review and Research Agenda for Large-Scale PEM Electrolyzer Plant Management","source":"europepmc","abstract":"The pressing need for advanced control strategies that surpass the limitations of traditional distributed control systems is essential for enhancing green hydrogen production using electrolyser technologies to gigawatt capacities. Digital twin technology has surfaced as an innovative framework for enhancing predictive maintenance and optimising operations within hydrogen production processes, ranging from traditional grey hydrogen production methods, such as steam methane reforming, to advanced green ammonia facilities and next-generation proton exchange membrane electrolysers. Recent studies clearly show that the accuracy of degradation predictions ranges from 85% to 95%, and real-time monitoring frameworks have been confirmed across both pilot and industrial scales. However, a significant and often overlooked limitation exists in all these contexts: the inherent architectural constraint of passive DT systems that prevents them from autonomously closing the control loop. The gap between prediction and action introduces delays of 30 to 120 minutes at the critical moment when the dynamic renewable energy load requires responses in sub-seconds. This review presents three original contributions: it examines published experimental evidence from SMR, green ammonia, and PEM electrolyser DT deployments, all based on a structured literature search conducted in Scopus and Web of Science. It systematically defines the latency gap between prediction and action and introduces a three-tier hierarchical structure that includes traditional DCS, digital twin, and an AI decision layer to address this issue. Next, it outlines five specifically designed AI algorithm modules and introduces several challenges related to research agendas, along with evaluations of technology readiness levels. All quantitative projections for AI-integrated DCS are derived from published studies in similar fields and should be regarded as hypotheses that need experimental validation rather than definitive engineering specifications. The 500-MW PEM plant configuration utilised as a reference throughout is conceptually scaled and aligns with near-term national hydrogen strategy targets; however, it does not pertain to any description of an existing facility.","url":"https://doi.org/10.20944/preprints202607.2105.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.2105.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1002/smtd.70739","name":"Spectroscopic Dynamic Digital-Twin Model Reveals Practical Optimization Strategy of SHJ Solar Cells.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/smtd.70739","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/smtd.70739","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.2029.v1","name":"Digital Twin-Based Adaptive Optimization of Cruise Control Systems for Eco-Driving Using Real-World OBD Data","source":"europepmc","abstract":"This study presents a data-driven Digital Twin framework designed to optimize closed-loop Adaptive Cruise Control (ACC) operational parameters for eco-driving without modifying electronic control unit (ECU) firmware. High-frequency telematics data (OBD-II and GPS) were recorded from a production vehicle over an 11.57 km test corridor to engineer and calibrate a virtual Digital Twin in PTV Vissim using Wiedemann 99 car-following logic. The validated model demonstrated high empirical fidelity, achieving a mean velocity error of 2.84 km/h, a GEH statistic of 2.67, and an absolute fuel consumption variance of just 0.01 L/100 km. An iterative parametric optimization (~100 simulation runs) was executed to tune acceleration limits, convergence time constants, and target velocity bounds while maintaining strict safety constraints. The optimized Eco configuration achieved a 12% reduction in fuel consumption (4.91 to 4.33 L/100 km) alongside a 14% increase in trip duration (893 to 1019 s). Bivariate state-space analysis confirmed the complete elimination of high-intensity accelerations and a 0.48 percentage point reduction in hard braking. The framework serves as an algorithmic decision support tool for energy-aware fleet management and adaptive vehicle control.","url":"https://doi.org/10.20944/preprints202607.2029.v1","authors":["Marek Lis","Maksymilian Mądziel"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.2029.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26123766","name":"Digital-Twin-Oriented Virtual Training Environment for Agricultural Robot Navigation: A Vineyard Rover Case Study.","source":"europepmc","abstract":"A virtual training environment offers clear advantages for agricultural robotics. It provides a safe setting in which perception, navigation, and control algorithms can be evaluated without risking damage to either the robot or the crop. It also supports efficient data generation: large volumes of training data can be collected under diverse environmental conditions that would be costly, slow, and often season-dependent in real-world deployments. This broader variability improves model adaptability, reduces the risk of overfitting, and leads to more robust operation. In this paper, we argue that digital twin technology should therefore be understood not merely as a passive mirror of a physical robot, but as an active training environment in which multiple sensor-related subprocesses can be developed, tested, validated, and refined jointly. This paper is based on our experiences with digital twin technology used in the development of a vineyard robot, including a self-driving rover, sensor simulation, procedural map generation, and agriculture-specific movement models. Our contribution is threefold: we reinterpret the digital twin as a training space, propose a layered framework for training agricultural robots in virtual environments, and explain why agriculture is a particularly strong use case, given variable field conditions, expensive real-world experimentation, and persistent labor scarcity. To validate this framework, we present the simulation-based evaluation of an autonomous reinforcement learning agent. The agent has been trained entirely in this virtual environment, which successfully navigated to 155 out of 161 target points in a simulated vineyard demonstration environment.","url":"https://doi.org/10.3390/s26123766","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123766","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-8992064/v1","name":"Integrating Digital Twin Technology into Smart Dental Healthcare: A Framework and Applications","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8992064/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8992064/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.20944/preprints202605.0249.v1","name":"An Open and Reproducible Digital Twin for Personalised Anticoagulant Therapy: Modelling Apixaban Pharmacokinetics and Pharmacodynamics","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.0249.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0249.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.cpet.2025.09.006","name":"A Brief History of Digital Twin Technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.cpet.2025.09.006","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.cpet.2025.09.006","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1038/s41597-026-07640-2","name":"A Full-Chain Dataset for Intelligent New Energy Vehicles based on High-fidelity Digital Twin Platform.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-026-07640-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41597-026-07640-2","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1007/s11701-026-03739-1","name":"Digital twin-enabled robotic surgery: a bibliometric and knowledge-mapping analysis from patient-specific simulation to autonomy and clinical translation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11701-026-03739-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11701-026-03739-1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.drudis.2026.104637","name":"Digital twin approaches for interpretable side effect prediction in drug discovery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.drudis.2026.104637","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.drudis.2026.104637","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1016/j.cell.2026.06.010","name":"Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.cell.2026.06.010","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.cell.2026.06.010","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-9904010/v1","name":"LLM-Guided Digital Twin Agents for Autonomous Threat Detection and Response in Cyber-Physical Energy Systems","source":"europepmc","abstract":"Abstract Cyber-physical energy systems increasingly depend on digital monitoring, communication infrastructures, distributed energy resources, flexible demand response, and automated control mechanisms. This growing digitalization improves operational flexibility but also increases exposure to coordinated cyber-physical threats, including false data injection, command manipulation, delayed telemetry, device compromise, and multi-layer attacks. This paper proposes an LLM-guided digital twin agent framework for autonomous threat detection and response in cyber-physical energy systems\\cite{rahmani2025applications}. The framework integrates digital twin synchronization, hybrid cyber-physical anomaly detection, structured LLM-guided diagnosis, safety-constrained response optimization, and verification-based execution control. The LLM layer is not treated as a direct controller; instead, it generates diagnostic interpretations and candidate mitigation actions that must pass cyber-trust, operational-security, confidence, latency, and digital twin feasibility constraints before execution. Benchmark-oriented results indicate that the proposed framework improves detection accuracy, F1-score, false alarm reduction, response success, and constraint compliance compared with residual-based, machine-learning, digital-twin-only, and LLM-only baselines. The findings suggest that LLMs can support safe cyber-physical security when embedded within a verification-constrained architecture. Future work should validate the framework using real-time co-simulation, hardware-in-the-loop testing, and large-scale operational energy datasets.","url":"https://doi.org/10.21203/rs.3.rs-9904010/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9904010/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3389/fvets.2026.1810873","name":"Correction: From machine learning to digital twin integration for livestock production and research.","source":"europepmc","abstract":"[This corrects the article DOI: 10.3389/fvets.2026.1744053.].","url":"https://doi.org/10.3389/fvets.2026.1810873","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fvets.2026.1810873","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/e28070765","name":"HeteroEdge: Latency-Aware Adaptive Protocol Parsing with Digital Twin Intelligence for Heterogeneous 5G IoT Edge Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28070765","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/e28070765","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s11571-026-10439-x","name":"A new BCI paradigm based on biological brain - digital twin brain dialogue.","source":"europepmc","abstract":"Brain-computer interface (BCI) establishes a bidirectional pathway between the brain and external devices. Its applications fall into two main categories: utilizing the brain as a controller (e.g., for prosthetics) or as a modulation target (e.g., for cognitive regulation). Progress in BCI is constrained by two core bottlenecks: in brain control, limited understanding of neural coding mechanisms restricts improvements in the accuracy and robustness of encoding/decoding algorithms; in brain regulation, one-size-fits-all regulatory strategies struggle to address significant individual variability, resulting in heterogeneous therapeutic responses. Inspired by neuroscience advances, this perspective proposes a new biological brain - digital twin brain based BCI (BDBCI) paradigm. Here, the biological brain acts as an empirical anchor and ultimate validation platform, while a high-fidelity digital twin brain (DTB) serves as a theoretical inference engine and virtual testbed. Specifically, experimental induction is applied to the biological brain to distill preliminary conclusions, such as brain-behavior mappings and brain-stimulation causal relationships, which are then used to construct and calibrate the DTB model. Subsequently, on the DTB platform, large-scale model deduction is conducted to validate and deepen these preliminary insights mechanistically, thereby optimizing control/regulation parameters or informing the parameter ranges for the next round of experimental induction and model deduction. Through this BDBCI paradigm, we aim to advance BCI research from empirical trial-and-error toward a new era of model-driven, predictable, and explainable precision science.","url":"https://doi.org/10.1007/s11571-026-10439-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s11571-026-10439-x","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10397893/v1","name":"Comprehensive Analysis of Turboprop Engine Performance Under Diverse Flight Conditions with Pressure Ratio as an Efficiency Parameter Utilizing the Digital Twin Methodology","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10397893/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10397893/v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.5281/zenodo.21162899","name":"The TechWeb Legacy and the Evolution of Bi-Directional Cyber-Cybernetical Twins","source":"datacite","abstract":"This article presents a retrospective architectural analysis of TechWeb, a distributed systems management platform developed for mission-critical Telecom, Finance, and Energy infrastructures during the era of Sun Solaris, HP-UX, and early Linux deployments. TechWeb pioneered concepts now recognized as precursors to Infrastructure as Code (IaC), Service Catalogues, and offline-first Disaster Recovery strategies. Building on the author's previous work on cyber-cybernetical twins and enterprise architecture frameworks (TOGAF ADM, ArchiMate, ISO 15926), this article establishes a critical parallel: the fundamental challenges of unstable administration, tribal knowledge, and regulatory compliance that TechWeb addressed remain central to today's UK technology landscape. The article introduces a unified framework combining bi-directional Digital Twins and cyber-cybernetical systems as the evolutionary architecture. It argues for the integration of Artificial Intelligence (AI) not as a replacement for deterministic systems, but as a cognitive layer that enables closed-loop governance within a framework of provable, auditable compliance—synchronizing enterprise architecture models with live infrastructure at all times. Key contributions include: (1) formalising the concept of cyber-cybernetical twins for purely digital IT infrastructure, (2) bridging industrial digital twin standards (ISO 15926) with enterprise architecture frameworks (TOGAF ADM, ArchiMate), and (3) providing a governance blueprint for AI-augmented deterministic systems in regulated UK sectors.","url":"https://doi.org/10.5281/zenodo.21162899","authors":["Sinyagov, Sergey"],"tags":["High Availability; Disaster Recovery; Infrastructure as Code; Digital Twins; Cyber-Physical Systems; Cyber-Cybernetical Systems; Enterprise Architecture; TOGAF ADM; ArchiMate; Site Reliability Engineering; AI Governance; Deterministic Systems; UK Technology Sector"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21162899","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19650312","name":"Bridging Communication Disconnects in Fit-Out Operations Through the Visual Finish-Result Planning (VFRP) Approach","source":"datacite","abstract":"This article examines the critical issue of “semantic gaps” and cognitive biases in communication among stakeholders within the investment-construction cycle during the execution of fit-out projects in the commercial real estate and retail sectors. The author substantiates the inadequacy of traditional linear planning methodologies (CPM, network diagrams) in environments characterized by high uncertainty and stringent deadlines, a failure attributed to the absence of a unified visual reference for the project team. The methodology is predicated upon a profound decomposition of brand books, the synthesis of a high-fidelity digital twin of the asset and the implementation of a backward scheduling algorithm anchored to a fixed inauguration date. Empirical validation of this framework, conducted across a diversified project portfolio, corroborates the hypothesis regarding the superior efficacy of the visual-centric approach. The methodology ensures no statistically significant schedule deviation within the observed sample (n = 108), with 60% of projects completed ahead of schedule (up to 14 days earlier for standard retail units, period 2019-2022, n = 34). Consequently, this technology can be characterized not as a planning instrument, but as a robust financial risk management strategy that ensures the mitigation of “dead rent” expenditures and the precise realization of projected Return on Investment (ROI) targets.","url":"https://doi.org/10.5281/zenodo.19650312","authors":["Tymoshenko, Andrii"],"tags":["project management","retail","fit-out","methodology VFRP","visual planning","reverse scheduling","semantic gaps"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19650312","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19650313","name":"Bridging Communication Disconnects in Fit-Out Operations Through the Visual Finish-Result Planning (VFRP) Approach","source":"datacite","abstract":"This article examines the critical issue of “semantic gaps” and cognitive biases in communication among stakeholders within the investment-construction cycle during the execution of fit-out projects in the commercial real estate and retail sectors. The author substantiates the inadequacy of traditional linear planning methodologies (CPM, network diagrams) in environments characterized by high uncertainty and stringent deadlines, a failure attributed to the absence of a unified visual reference for the project team. The methodology is predicated upon a profound decomposition of brand books, the synthesis of a high-fidelity digital twin of the asset and the implementation of a backward scheduling algorithm anchored to a fixed inauguration date. Empirical validation of this framework, conducted across a diversified project portfolio, corroborates the hypothesis regarding the superior efficacy of the visual-centric approach. The methodology ensures no statistically significant schedule deviation within the observed sample (n = 108), with 60% of projects completed ahead of schedule (up to 14 days earlier for standard retail units, period 2019-2022, n = 34). Consequently, this technology can be characterized not as a planning instrument, but as a robust financial risk management strategy that ensures the mitigation of “dead rent” expenditures and the precise realization of projected Return on Investment (ROI) targets.","url":"https://doi.org/10.5281/zenodo.19650313","authors":["Tymoshenko, Andrii"],"tags":["project management","retail","fit-out","methodology VFRP","visual planning","reverse scheduling","semantic gaps"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19650313","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21371025","name":"DIGITAL TWINS IN PHARMACEUTICAL MANUFACTURING AND QUALITY ASSURANCE: APPLICATIONS, BENEFITS, CHALLENGES, AND FUTURE PERSPECTIVES","source":"datacite","abstract":"The pharmaceutical industry is undergoing a digital transformation through the adoption of Industry 4.0 technologies. Among these innovations, Digital Twin (DT) technology has emerged as a powerful tool for improving manufacturing efficiency, product quality, and regulatory compliance. A digital twin is a virtual representation of a physical system that continuously receives and analyzes real-time data from manufacturing processes. In pharmaceutical manufacturing, digital twins enable process simulation, predictive maintenance, quality monitoring, risk assessment, and process optimization. This review discusses the concept, architecture, applications, benefits, challenges, and future prospects of digital twins in pharmaceutical manufacturing and quality assurance.","url":"https://doi.org/10.5281/zenodo.21371025","authors":["Gayatri Chandrakant Shelake","Ashitosha Somnath Chavan","Keshav Shahaji Pawar","Dr. Swati D. Burungale","Dr. Rajendra N. Patil"],"tags":["Digital twin technology","pharmaceutical manufacturing","quality by design (QBD)","process analytical technology (PAT)","Quality Assurance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21371025","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21371026","name":"DIGITAL TWINS IN PHARMACEUTICAL MANUFACTURING AND QUALITY ASSURANCE: APPLICATIONS, BENEFITS, CHALLENGES, AND FUTURE PERSPECTIVES","source":"datacite","abstract":"The pharmaceutical industry is undergoing a digital transformation through the adoption of Industry 4.0 technologies. Among these innovations, Digital Twin (DT) technology has emerged as a powerful tool for improving manufacturing efficiency, product quality, and regulatory compliance. A digital twin is a virtual representation of a physical system that continuously receives and analyzes real-time data from manufacturing processes. In pharmaceutical manufacturing, digital twins enable process simulation, predictive maintenance, quality monitoring, risk assessment, and process optimization. This review discusses the concept, architecture, applications, benefits, challenges, and future prospects of digital twins in pharmaceutical manufacturing and quality assurance.","url":"https://doi.org/10.5281/zenodo.21371026","authors":["Gayatri Chandrakant Shelake","Ashitosha Somnath Chavan","Keshav Shahaji Pawar","Dr. Swati D. Burungale","Dr. Rajendra N. Patil"],"tags":["Digital twin technology","pharmaceutical manufacturing","quality by design (QBD)","process analytical technology (PAT)","Quality Assurance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21371026","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22111320","name":"Ontologically Integrated Digital Twin of the Entire Hospital Ecosystem","source":"datacite","abstract":"The rapid evolution of Healthcare 5.0 demands intelligent hospital ecosystems capable of integrating clinical care, operational management, and physical infrastructure into a unified, continuously adaptive environment. However, contemporary healthcare information systems remain fragmented across Electronic Health Records (EHRs), Internet of Medical Things (IoMT) devices, laboratory systems, imaging platforms, and Building Management Systems (BMS), resulting in severe data siloing, limited semantic interoperability, delayed decision- making, and inadequate real-time situational awareness. Although digital twin technology has emerged as a promising paradigm for creating virtual representations of physical entities, existing healthcare implementations are largely confined to isolated organs, medical devices, or specific clinical workflows, thereby failing to support hospital-wide intelligence and cross-domain reasoning. This paper proposes the Ontologically Integrated Digital Twin (OIDT) framework, a comprehensive and semantically enriched architecture for constructing a scalable, hospital-wide digital twin capable of synchronizing physical, cyber, and organizational processes in real time. The framework is founded on a formal Web Ontology Language (OWL) knowledge model, termed HospitalOnt, which unifies heterogeneous healthcare and infrastructure data by aligning internationally recognized standards including SNOMED CT, LOINC, RxNorm, HL7 FHIR, and the W3C SSN/SOSA sensor ontologies. Through this semantic foundation, OIDT enables machine-understandable relationships among patients, clinicians, medical devices, hospital assets, environmental sensors, workflows, and facility resources. A distributed five-layer architecture is presented, comprising Physical Sensing, Edge Intelligence, Streaming Integration, Semantic Knowledge, and Application Intelligence layers. Real- time data acquisition is achieved through IoMT devices, environmental sensors, and operational systems connected via MQTT and FHIR interfaces. The streaming backbone employs Apache Kafka and Apache Flink for high- throughput ingestion, semantic annotation, event processing, and temporal synchronization. Multi-model persistence is implemented using Neo4j for graph-based knowledge representation, InfluxDB for time-series telemetry, and PostgreSQL for transactional healthcare data, thereby supporting both analytical and operational workloads. To demonstrate intelligent decision support, OIDT integrates multiple AI and simulation components. An LSTM Autoencoder performs predictive maintenance of critical medical equipment, detecting latent degradation patterns before failure. A Prophet-based forecasting model predicts emergency department (ED) patient arrivals and bed occupancy trends, while a Discrete-Event Simulation (DES) engine evaluates alternative resource-allocation strategies under varying operational conditions. The semantic knowledge graph further enables graph-based reasoning and contextual inference, allowing cross-domain queries that combine clinical, operational, and environmental information. The framework was validated on a 200-bed simulated smart hospital testbed incorporating 50 Raspberry Pi edge nodes, synthetic HL7 FHIR event streams, and heterogeneous IoMT telemetry. Experimental results demonstrate substantial operational improvements, including a 28% reduction in average ED waiting time, a 93.0% F1-score for ventilator mechanical failure prediction with a mean lead time of 3.6 hours, an emergency alert propagation latency of 4.1 seconds, representing a 14× improvement over conventional phone-tree workflows, and a 12% reduction in facility energy consumption through context-aware optimization. Semantic interoperability evaluation achieved 96.0% cross-domain query resolution, compared with 24.0% in traditional siloed architectures, while scalability experiments confirmed near-linear performance up to 10,000 concurrent IoT device streams with an avera","url":"https://doi.org/10.5281/zenodo.22111320","authors":["Latha.  P","Sooraj Balakrishnan","Kanna.  S","Harini S","Avinash R.  P"],"tags":["Digital Twin","Ontology","Knowledge Graphs","Smart Hospitals","Healthcare 5.0","Internet of Medical Things (IoMT)","Semantic Interoperability","Predictive Maintenance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22111320","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22111319","name":"Ontologically Integrated Digital Twin of the Entire Hospital Ecosystem","source":"datacite","abstract":"The rapid evolution of Healthcare 5.0 demands intelligent hospital ecosystems capable of integrating clinical care, operational management, and physical infrastructure into a unified, continuously adaptive environment. However, contemporary healthcare information systems remain fragmented across Electronic Health Records (EHRs), Internet of Medical Things (IoMT) devices, laboratory systems, imaging platforms, and Building Management Systems (BMS), resulting in severe data siloing, limited semantic interoperability, delayed decision- making, and inadequate real-time situational awareness. Although digital twin technology has emerged as a promising paradigm for creating virtual representations of physical entities, existing healthcare implementations are largely confined to isolated organs, medical devices, or specific clinical workflows, thereby failing to support hospital-wide intelligence and cross-domain reasoning. This paper proposes the Ontologically Integrated Digital Twin (OIDT) framework, a comprehensive and semantically enriched architecture for constructing a scalable, hospital-wide digital twin capable of synchronizing physical, cyber, and organizational processes in real time. The framework is founded on a formal Web Ontology Language (OWL) knowledge model, termed HospitalOnt, which unifies heterogeneous healthcare and infrastructure data by aligning internationally recognized standards including SNOMED CT, LOINC, RxNorm, HL7 FHIR, and the W3C SSN/SOSA sensor ontologies. Through this semantic foundation, OIDT enables machine-understandable relationships among patients, clinicians, medical devices, hospital assets, environmental sensors, workflows, and facility resources. A distributed five-layer architecture is presented, comprising Physical Sensing, Edge Intelligence, Streaming Integration, Semantic Knowledge, and Application Intelligence layers. Real- time data acquisition is achieved through IoMT devices, environmental sensors, and operational systems connected via MQTT and FHIR interfaces. The streaming backbone employs Apache Kafka and Apache Flink for high- throughput ingestion, semantic annotation, event processing, and temporal synchronization. Multi-model persistence is implemented using Neo4j for graph-based knowledge representation, InfluxDB for time-series telemetry, and PostgreSQL for transactional healthcare data, thereby supporting both analytical and operational workloads. To demonstrate intelligent decision support, OIDT integrates multiple AI and simulation components. An LSTM Autoencoder performs predictive maintenance of critical medical equipment, detecting latent degradation patterns before failure. A Prophet-based forecasting model predicts emergency department (ED) patient arrivals and bed occupancy trends, while a Discrete-Event Simulation (DES) engine evaluates alternative resource-allocation strategies under varying operational conditions. The semantic knowledge graph further enables graph-based reasoning and contextual inference, allowing cross-domain queries that combine clinical, operational, and environmental information. The framework was validated on a 200-bed simulated smart hospital testbed incorporating 50 Raspberry Pi edge nodes, synthetic HL7 FHIR event streams, and heterogeneous IoMT telemetry. Experimental results demonstrate substantial operational improvements, including a 28% reduction in average ED waiting time, a 93.0% F1-score for ventilator mechanical failure prediction with a mean lead time of 3.6 hours, an emergency alert propagation latency of 4.1 seconds, representing a 14× improvement over conventional phone-tree workflows, and a 12% reduction in facility energy consumption through context-aware optimization. Semantic interoperability evaluation achieved 96.0% cross-domain query resolution, compared with 24.0% in traditional siloed architectures, while scalability experiments confirmed near-linear performance up to 10,000 concurrent IoT device streams with an avera","url":"https://doi.org/10.5281/zenodo.22111319","authors":["Latha.  P","Sooraj Balakrishnan","Kanna.  S","Harini S","Avinash R.  P"],"tags":["Digital Twin","Ontology","Knowledge Graphs","Smart Hospitals","Healthcare 5.0","Internet of Medical Things (IoMT)","Semantic Interoperability","Predictive Maintenance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22111319","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22109652","name":"Deliverable D4.2 - Intermediate specifications for protocols, orchestration solutions, and spectrum management","source":"datacite","abstract":"This deliverable presents the intermediate specifications of protocols, orchestration solutions, and spectrum management mechanisms developed in Work Package 4 (WP4) of the 6G-DISAC project. Building on deliverable D4.1 and aligning with both the architectural framework of WP2 and the algorithmic advances of WP3, it consolidates the outcomes of Tasks T4.1–T4.3 and prepares their integration into WP5. The document characterises heterogeneous DISAC network devices and introduces a comprehensive set of protocols enabling distributed and cooperative sensing and communication. These include harmonised network protocols, multi-spectrum sensing, sensing-aided channel estimation, and learning-based approaches, with dedicated solutions for Reconfigurable Intelligent Surfaces (RIS) covering their control, integration, and localisation. In parallel, it specifies orchestration algorithms for joint management of sensing, communication, and computation resources, addressing cooperative localisation, sensing–communication trade-offs, and distributed optimisation, as well as learning-based coordination and semantic-aware interfaces. Spectrum management strategies are also presented, including dynamic allocation, multi-band sensing, security mechanisms, and emerging concepts such as digital-twin-assisted prediction and radio simultaneous localisation and mapping (SLAM). Overall, the deliverable establishes a protocol–algorithm co–design framework that supports scalable, flexible, and efficient distributed integrated sensing and communication (DISAC) systems, while providing a clear bridge toward experimental validation in WP5.","url":"https://doi.org/10.5281/zenodo.22109652","authors":["6G-DISAC project"],"tags":["Distributed ISAC, 6G Networks, Resource Orchestration, Control Protocols, Cooperative Sensing, Distributed Computation, Spectrum Management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22109652","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22109653","name":"Deliverable D4.2 - Intermediate specifications for protocols, orchestration solutions, and spectrum management","source":"datacite","abstract":"This deliverable presents the intermediate specifications of protocols, orchestration solutions, and spectrum management mechanisms developed in Work Package 4 (WP4) of the 6G-DISAC project. Building on deliverable D4.1 and aligning with both the architectural framework of WP2 and the algorithmic advances of WP3, it consolidates the outcomes of Tasks T4.1–T4.3 and prepares their integration into WP5. The document characterises heterogeneous DISAC network devices and introduces a comprehensive set of protocols enabling distributed and cooperative sensing and communication. These include harmonised network protocols, multi-spectrum sensing, sensing-aided channel estimation, and learning-based approaches, with dedicated solutions for Reconfigurable Intelligent Surfaces (RIS) covering their control, integration, and localisation. In parallel, it specifies orchestration algorithms for joint management of sensing, communication, and computation resources, addressing cooperative localisation, sensing–communication trade-offs, and distributed optimisation, as well as learning-based coordination and semantic-aware interfaces. Spectrum management strategies are also presented, including dynamic allocation, multi-band sensing, security mechanisms, and emerging concepts such as digital-twin-assisted prediction and radio simultaneous localisation and mapping (SLAM). Overall, the deliverable establishes a protocol–algorithm co–design framework that supports scalable, flexible, and efficient distributed integrated sensing and communication (DISAC) systems, while providing a clear bridge toward experimental validation in WP5.","url":"https://doi.org/10.5281/zenodo.22109653","authors":["6G-DISAC project"],"tags":["Distributed ISAC, 6G Networks, Resource Orchestration, Control Protocols, Cooperative Sensing, Distributed Computation, Spectrum Management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22109653","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20629962","name":"HyperPSCA: A Unified Autopoietic Hypergraph Engine for Cross-Domain Scientific Discovery, Patent Screening, and Material/Biomedical Co-Evolution","source":"datacite","abstract":"🇬🇧 English Version Title HyperPSCA: A Unified Autopoietic Hypergraph Engine for Cross-Domain Scientific Discovery, Patent Screening, and Material/Biomedical Co-Evolution Description/Abstract This repository introduces the computational infrastructure of HyperPSCA, an executable, autopoietic semantic hypergraph engine in NDJSON-LD format designed for AI-driven, cross-disciplinary scientific discovery. The attached files (including ScienzeDure.txt and psca_hypergraph.ndjson) act as a self-contained, dynamic software system capable of reasoning, simulating, and validating claims across four core scientific and technological domains: 1. HISTORICAL AND GEOMYTHOLOGICAL SCIENCES: Formalization and quantitative validation of the Sardinian-Corsican Atlantean Paradigm (PSCA) using algorithmic historiography, reverse historiographical engineering, Herodotean/Homeric geographic relocations (e.g., the Scythia-Gallura axis), and quantitative consilience calculations (geophysical, paleoclimatic, and archeogenetic). 2. BIOINFORMATICS AND PRECISION MEDICINE: Automated data extraction pipeline from PubMed/ChEMBL/Olink, logical inference reasoning for indirect target protein modulation induced by post-translational modifications (PTMs), dynamic ODE simulation (Runge-Kutta 4th Order) for real-time virtual knockouts, and patient-specific clinical recommendations (Digital Twin). 3. ORAL HEALTHCARE AND MICROBIOLOGY: A dedicated module for human halitosis therapeutics utilizing an online hypergraph expander linked with EMBL-EBI OLS (Ontology Lookup Service) to discover and map chemical-biological inhibitors of Volatile Sulfur Compounds (VSCs) and pathogenic anaerobic oral bacteria. 4. MATERIALS SCIENCE AND PATENT EXPLORATION: A crystallographic generator constrained to stability manifold geometries 🇮🇹 Versione Italiana Titolo HyperPSCA: Un Motore Ipergrafico Autopoietico Unificato per la Scoperta Scientifica Cross-Domain, lo Screening Brevettuale e la Co-Evoluzione Materiale/Biomedica Descrizione / Abstract per Zenodo Questo deposito presenta l'infrastruttura computazionale di HyperPSCA, un motore ipergrafico autopoietico ed eseguibile in formato NDJSON-LD per la scoperta scientifica interdisciplinare accelerata da intelligenza artificiale. I file allegati (tra cui ScienzeDure.txt e psca_hypergraph.ndjson) non sono semplici archivi di dati, ma costituiscono un sistema software dinamico e autocontenuto in grado di operare simultaneamente su quattro macro-domini scientifici e tecnologici: 1. SCIENZE STORICHE E GEOMITOLOGICHE: Formalizzazione e validazione quantitativa del Paradigma Sardo-Corso-Atlantideo (PSCA), con algoritmi di storiografia algoritmica, ingegneria storiografica inversa, rilocazione erodotea/omerica (es. asse Scizia-Gallura) e calcolo quantitativo dell'indice di consilienza geofisica, paleoclimatica e archeogenetica. 2. BIOINFORMATICA E MEDICINA DI PRECISIONE: Pipeline automatizzata di estrazione da PubMed/ChEMBL/Olink, motore di inferenza logica per la modulazione indiretta dei target proteici indotta da modificazioni post-traduzionali (PTM), solutore matematico ODE (Runge-Kutta 4) per simulazioni di knockout virtuali in tempo reale e raccomandazione clinica personalizzata (Digital Twin del paziente). 3. MICROBIOLOGIA E CURA DELL'ALITOSI: Modulo specifico per la cura dell'alito cattivo umano tramite un espansore ipergrafico online integrato con EMBL-EBI OLS (Ontology Lookup Service) per tracciare e neutralizzare chimicamente e biologicamente i Composti Volatili dello Zolfo (VSC) e i batteri anaerobi orali patogeni. 4. INGEGNERIA DEI MATERIALI E RICERCA BREVETTUALE: Generatore cristallografico vincolato alla geometria del manifold di stabilità (Perovskiti, leghe di Heusler, Hume-Rothery) integrato a un modulo di screening automatico in tempo reale delle novità e dei brevetti attivi (OpenAlex e PubChem) per validare l'effettiva originalità di molecole e materiali teorici. Questa pubblicazione estende, unifica e aggiorna significativ","url":"https://doi.org/10.5281/zenodo.20629962","authors":["Usai, Luigi"],"tags":["psca","paradigma sardo corso","paradigma sardo corso atlantideo","Luigi Usai","Usai Luigi","Sardo Corso","Sardo Corso Atlantideo","Ipergrafi"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20629962","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22110848","name":"Cyber-Physical Production System Security Through Digital Twin Technology","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22110848","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22110848","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22110849","name":"Cyber-Physical Production System Security Through Digital Twin Technology","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22110849","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22110849","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22110844","name":"Cryptographic Agility for Industrial Digital Twin Lifecycles","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22110844","authors":["Nada Ahamed , Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22110844","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22110843","name":"Cryptographic Agility for Industrial Digital Twin Lifecycles","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22110843","authors":["Nada Ahamed , Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22110843","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20680980","name":"Formalizzazione avanzata e rigorosa di un sistema di Rappresentazione della Conoscenza e Ragionamento (Knowledge Representation and Reasoning - KRR), nucleo fondamentale della I.A. Simbolica (GOFAI - Good Old-Fashioned AI). UKH – Universal Cognitive Hypergraph: A Neuro‑symbolic Topological‑Functional Framework for Multi‑Domain Scientific Discovery","source":"datacite","abstract":"DOI: 10.5281/zenodo.20517166Author: Luigi Usai (ORCID: 0009-0003-3001-717X)Release date: 2026-06-13 ABSTRACT UKH (Universal Cognitive Hypergraph), implemented by the MNSVSA engine (Monadic Neuro‑Symbolic Verification and Synthesis Architecture), is a neuro‑symbolic meta‑knowledge framework that goes beyond a static hypergraph. It formalizes, validates, and generates scientific knowledge across multiple domains (mathematics, physics, chemistry, biology, medicine) using a hypergraph representation where each hyperedge is a semantically rich JSON‑LD construct equipped with: Explicit generative rules, Quantitative falsifiability conditions, Entropic coherence metrics (Shannon, Jensen‑Shannon divergence), Decoupled provenance (historical creator ≠ digital curator). The framework is natively designed to operate in synergy with state‑of‑the‑art LLMs and Large Context Models (LCMs), acting as their structured working memory, logical guardrail, and hybrid inference engine. FROM DESCRIPTIVE BIOLOGY TO TOPOLOGICAL‑FUNCTIONAL KNOWLEDGE Unlike conventional biomedical ontologies or knowledge graphs, UKH systematically couples mathematical physics invariants (Chern‑Simons, symplectic geometry, homological mirror symmetry, Teichmüller metrics) with cellular and molecular kinetics (LRRK2 signaling, mitochondrial complexes, autophagic clearance, microglial dynamics). This enables a compact, falsifiable, and generative representation of complex diseases—exemplified here by a comprehensive topological‑functional model of Parkinson’s disease. INTEGRATION WITH LLMs AND LARGE CONTEXT MODELS MNSVSA/UKH is not an LLM nor a replacement for generative models. It is a neuro‑symbolic middleware that operates in synergy with them: Hypergraph (JSON‑LD): Provides a structured working memory with typed nodes and verifiable relations. LLMs can navigate it as a knowledge graph, not as flat text. SHACL Shapes: Act as semantic guardrails. Any output generated by an LLM is validated against predefined shapes (e.g., DelaunayTriangulationShape, PauliAndMassConservationShape). Falsifiability Conditions: Each hyperedge specifies a quantitative falsifiability condition. LLMs can use them to generate critical experiments or falsifiable conjectures. Coherence Entropy: Measures redundancy/normality of a construct. Combined with an LCM, it prunes tautologies (novelty score 1.5$), la SHACL Shape ex:ATP_ProductionShape rigetta la consistenza dell'iperarco, marcando la simulazione come fisicamente non ammissibile. CONCRETE EXAMPLE An LLM receives the request: “Find a Parkinson’s therapy based on LRRK2 kinase inhibition.” UKH/MNSVSA: Queries the hyperedge LRRK2_Kinase_Inhibition (present in the graph), Retrieves its falsifiability conditions (pRab10_Thr73 0.45 bit, categorical triangulation), If passed, it is promoted to a new hyperedge and published on Zenodo with immutable provenance. RELEASE CONTENTS The Zenodo repository includes: hypergraph.jsonld – the complete hypergraph in contextualized JSON‑LD, shacl_shapes.ttl – all validation shapes (SHACL), swrl_rules.swrl – SWRL inference rules, lean4_proofs/ – formal proofs in Lean4, triton_kernels/ – JIT kernels for GPU parallel algebra. Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo","url":"https://doi.org/10.5281/zenodo.20680980","authors":["Usai, Luigi"],"tags":["MNSVSA","Luigi Usai","Usai Luigi","I.A.","I.A. Simbolica","Symbolic A.I.","Intelligenza Artificiale","I.A. Autopoietica"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20680980","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20806114","name":"Formalizzazione avanzata e rigorosa di un sistema di Rappresentazione della Conoscenza e Ragionamento (Knowledge Representation and Reasoning - KRR), nucleo fondamentale della I.A. Simbolica (GOFAI - Good Old-Fashioned AI). UKH – Universal Cognitive Hypergraph: A Neuro‑symbolic Topological‑Functional Framework for Multi‑Domain Scientific Discovery","source":"datacite","abstract":"DOI: 10.5281/zenodo.20517166Author: Luigi Usai (ORCID: 0009-0003-3001-717X)Release date: 2026-06-13 ABSTRACT UKH (Universal Cognitive Hypergraph), implemented by the MNSVSA engine (Monadic Neuro‑Symbolic Verification and Synthesis Architecture), is a neuro‑symbolic meta‑knowledge framework that goes beyond a static hypergraph. It formalizes, validates, and generates scientific knowledge across multiple domains (mathematics, physics, chemistry, biology, medicine) using a hypergraph representation where each hyperedge is a semantically rich JSON‑LD construct equipped with: Explicit generative rules, Quantitative falsifiability conditions, Entropic coherence metrics (Shannon, Jensen‑Shannon divergence), Decoupled provenance (historical creator ≠ digital curator). The framework is natively designed to operate in synergy with state‑of‑the‑art LLMs and Large Context Models (LCMs), acting as their structured working memory, logical guardrail, and hybrid inference engine. FROM DESCRIPTIVE BIOLOGY TO TOPOLOGICAL‑FUNCTIONAL KNOWLEDGE Unlike conventional biomedical ontologies or knowledge graphs, UKH systematically couples mathematical physics invariants (Chern‑Simons, symplectic geometry, homological mirror symmetry, Teichmüller metrics) with cellular and molecular kinetics (LRRK2 signaling, mitochondrial complexes, autophagic clearance, microglial dynamics). This enables a compact, falsifiable, and generative representation of complex diseases—exemplified here by a comprehensive topological‑functional model of Parkinson’s disease. INTEGRATION WITH LLMs AND LARGE CONTEXT MODELS MNSVSA/UKH is not an LLM nor a replacement for generative models. It is a neuro‑symbolic middleware that operates in synergy with them: Hypergraph (JSON‑LD): Provides a structured working memory with typed nodes and verifiable relations. LLMs can navigate it as a knowledge graph, not as flat text. SHACL Shapes: Act as semantic guardrails. Any output generated by an LLM is validated against predefined shapes (e.g., DelaunayTriangulationShape, PauliAndMassConservationShape). Falsifiability Conditions: Each hyperedge specifies a quantitative falsifiability condition. LLMs can use them to generate critical experiments or falsifiable conjectures. Coherence Entropy: Measures redundancy/normality of a construct. Combined with an LCM, it prunes tautologies (novelty score 1.5$), la SHACL Shape ex:ATP_ProductionShape rigetta la consistenza dell'iperarco, marcando la simulazione come fisicamente non ammissibile. CONCRETE EXAMPLE An LLM receives the request: “Find a Parkinson’s therapy based on LRRK2 kinase inhibition.” UKH/MNSVSA: Queries the hyperedge LRRK2_Kinase_Inhibition (present in the graph), Retrieves its falsifiability conditions (pRab10_Thr73 0.45 bit, categorical triangulation), If passed, it is promoted to a new hyperedge and published on Zenodo with immutable provenance. RELEASE CONTENTS The Zenodo repository includes: hypergraph.jsonld – the complete hypergraph in contextualized JSON‑LD, shacl_shapes.ttl – all validation shapes (SHACL), swrl_rules.swrl – SWRL inference rules, lean4_proofs/ – formal proofs in Lean4, triton_kernels/ – JIT kernels for GPU parallel algebra. Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo","url":"https://doi.org/10.5281/zenodo.20806114","authors":["Usai, Luigi"],"tags":["MNSVSA","Luigi Usai","Usai Luigi","I.A.","I.A. Simbolica","Symbolic A.I.","Intelligenza Artificiale","I.A. Autopoietica"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20806114","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20997198","name":"Autonomous Digital Twin Healing Through Self-Reconfiguring Architectures","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20997198","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20997198","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20997199","name":"Autonomous Digital Twin Healing Through Self-Reconfiguring Architectures","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20997199","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20997199","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19643470","name":"When 150M SEK of Research Meets a Clinic: Bridging Mechanistic Models and Functional Medicine","source":"datacite","abstract":"Position paper examining how 150 million SEK of mechanistic modeling research can bridge the gap to functional medicine clinical practice. Proposes boundary object interfaces that make Large Quantitative Models (LQMs) accessible to clinicians without requiring computational biology expertise. Addresses the translation gap between academic systems biology and patient-facing health optimization.","url":"https://doi.org/10.5281/zenodo.19643470","authors":["Waern, Nicolas"],"tags":["mechanistic models","LQM","functional medicine","precision medicine","digital twin","clinician interface"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19643470","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19683080","name":"When 150M SEK of Research Meets a Clinic: Bridging Mechanistic Models and Functional Medicine","source":"datacite","abstract":"Position paper examining how 150 million SEK of mechanistic modeling research can bridge the gap to functional medicine clinical practice. Proposes boundary object interfaces that make Large Quantitative Models (LQMs) accessible to clinicians without requiring computational biology expertise. Addresses the translation gap between academic systems biology and patient-facing health optimization.","url":"https://doi.org/10.5281/zenodo.19683080","authors":["Waern, Nicolas"],"tags":["mechanistic models","LQM","functional medicine","precision medicine","digital twin","clinician interface"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19683080","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.6084/m9.figshare.33339251","name":"Digital twins in supply chain management: Technical components, functionalities, and impact areas","source":"datacite","abstract":"Digital twins lack a common understanding in the literature, and their impact on operations and supply chain management should be further explored to realise the technology’s potential value. Conducting a multi-round Delphi survey with additional expert interviews, we identify the underlying technical components, functionalities, and adoption barriers. Subsequently, we derive a detailed framework that provides an overview of the digital twin characteristics at the product, process, or system level. We examine multiple impact areas of digital twins related to operational excellence, risk management, communication, and innovation. Our Delphi ranking shows that digital twins could affect production process reliability, setup, and testing of machinery and maintenance procedures. We also employ the CIMO logic to inform our discussion of the potential underlying mechanisms. Our study works towards a shared holistic understanding of digital twins. We also derive a set of recommendations for managers and outline opportunities for future research.","url":"https://doi.org/10.6084/m9.figshare.33339251","authors":["Christoph G. Schmidt","Maximilian Klöckner","Stephan M. Wagner","Sara Calcagni"],"tags":["Sociology","Biological Sciences not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33339251","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.6084/m9.figshare.33339251.v1","name":"Digital twins in supply chain management: Technical components, functionalities, and impact areas","source":"datacite","abstract":"Digital twins lack a common understanding in the literature, and their impact on operations and supply chain management should be further explored to realise the technology’s potential value. Conducting a multi-round Delphi survey with additional expert interviews, we identify the underlying technical components, functionalities, and adoption barriers. Subsequently, we derive a detailed framework that provides an overview of the digital twin characteristics at the product, process, or system level. We examine multiple impact areas of digital twins related to operational excellence, risk management, communication, and innovation. Our Delphi ranking shows that digital twins could affect production process reliability, setup, and testing of machinery and maintenance procedures. We also employ the CIMO logic to inform our discussion of the potential underlying mechanisms. Our study works towards a shared holistic understanding of digital twins. We also derive a set of recommendations for managers and outline opportunities for future research.","url":"https://doi.org/10.6084/m9.figshare.33339251.v1","authors":["Christoph G. Schmidt","Maximilian Klöckner","Stephan M. Wagner","Sara Calcagni"],"tags":["Sociology","Biological Sciences not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33339251.v1","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21486532","name":"Software as Critical Infrastructure: Open Source, Resilience, and the Backbone Digital Twins Need","source":"datacite","abstract":"Software Heritage collects publicly available source code from numerous software projects and tracks their ongoing development. Outline1 Introduction2 Open source is everywhere — and a twin is made of it3 How we manage source code: fragile foundations we do not control4 Meet Software Heritage5 Demo time!6 Map and find the software that matters7 Back to digital twins: one coherent whole","url":"https://doi.org/10.5281/zenodo.21486532","authors":["Di Cosmo, Roberto"],"tags":["Software Preservation","Source Code Archiving","Research Software","Open Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21486532","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21486533","name":"Software as Critical Infrastructure: Open Source, Resilience, and the Backbone Digital Twins Need","source":"datacite","abstract":"Software Heritage collects publicly available source code from numerous software projects and tracks their ongoing development. Outline1 Introduction2 Open source is everywhere — and a twin is made of it3 How we manage source code: fragile foundations we do not control4 Meet Software Heritage5 Demo time!6 Map and find the software that matters7 Back to digital twins: one coherent whole","url":"https://doi.org/10.5281/zenodo.21486533","authors":["Di Cosmo, Roberto"],"tags":["Software Preservation","Source Code Archiving","Research Software","Open Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21486533","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21445253","name":"Human Digital Twin for Health (HDT-H): An Applied Multiscale Framework for Early Diagnosis, In-Silico Clinical Simulation, and Prospective Validation Protocol","source":"datacite","abstract":"Abstract Human Digital Twin for Health (HDT-H) is an applied multiscale framework designed to support early diagnosis, personalized clinical simulation, and prospective validation in precision medicine. The framework integrates multimodal physiological data from wearable devices and electronic health records through cross-attention neural networks, Neural Ordinary Differential Equations (Neural ODEs), HL7-FHIR v5.0.0 interoperability, and executable PK/PD cardiovascular simulations. This work presents a mathematically formalized architecture together with a SPIRIT- and TRIPOD+AI-aligned prospective clinical validation protocol. To ensure scientific transparency, all projected performance metrics are explicitly identified as literature-based projections pending validation through prospective clinical studies. The proposed framework is intended as a research platform for Human Digital Twins and precision digital health rather than as a validated clinical decision-support system.","url":"https://doi.org/10.5281/zenodo.21445253","authors":["Durney, Urrutia"],"tags":["Preventive Medicine","Human Digital Twin","Precision Medicine/methods","Digital Health Neural ODE Multimodal AI HL7 FHIR Wearable Sensors In Silico Simulation","Clinical Decision Support"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21445253","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21445254","name":"Human Digital Twin for Health (HDT-H): An Applied Multiscale Framework for Early Diagnosis, In-Silico Clinical Simulation, and Prospective Validation Protocol","source":"datacite","abstract":"Abstract Human Digital Twin for Health (HDT-H) is an applied multiscale framework designed to support early diagnosis, personalized clinical simulation, and prospective validation in precision medicine. The framework integrates multimodal physiological data from wearable devices and electronic health records through cross-attention neural networks, Neural Ordinary Differential Equations (Neural ODEs), HL7-FHIR v5.0.0 interoperability, and executable PK/PD cardiovascular simulations. This work presents a mathematically formalized architecture together with a SPIRIT- and TRIPOD+AI-aligned prospective clinical validation protocol. To ensure scientific transparency, all projected performance metrics are explicitly identified as literature-based projections pending validation through prospective clinical studies. The proposed framework is intended as a research platform for Human Digital Twins and precision digital health rather than as a validated clinical decision-support system.","url":"https://doi.org/10.5281/zenodo.21445254","authors":["Durney, Urrutia"],"tags":["Preventive Medicine","Human Digital Twin","Precision Medicine/methods","Digital Health Neural ODE Multimodal AI HL7 FHIR Wearable Sensors In Silico Simulation","Clinical Decision Support"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21445254","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22097423","name":"The In Silico Abstraction Note","source":"datacite","abstract":"This addendum formally transposes the Hydra-Flux Cyber-Physical State Machine from the management of physical continuous media to the computational domain (in silico). It translates the established asynchronous exception grammar into a probabilistic pruning heuristic and constraint-resolution engine for Digital Twins and THMC solvers. By dynamically eliminating mathematically non-viable simulation pathways based on strict physical invariants, this architecture optimizes computational efficiency.","url":"https://doi.org/10.5281/zenodo.22097423","authors":["Peyrol, O."],"tags":["Digital Twin","Numerical Solver","Cyber-Physical System","Finite State Machine","Pruning Heuristic","Constraint Resolution","Asynchronous Logic","Event-Driven Architecture"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22097423","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22097424","name":"The In Silico Abstraction Note","source":"datacite","abstract":"This addendum formally transposes the Hydra-Flux Cyber-Physical State Machine from the management of physical continuous media to the computational domain (in silico). It translates the established asynchronous exception grammar into a probabilistic pruning heuristic and constraint-resolution engine for Digital Twins and THMC solvers. By dynamically eliminating mathematically non-viable simulation pathways based on strict physical invariants, this architecture optimizes computational efficiency.","url":"https://doi.org/10.5281/zenodo.22097424","authors":["Peyrol, O."],"tags":["Digital Twin","Numerical Solver","Cyber-Physical System","Finite State Machine","Pruning Heuristic","Constraint Resolution","Asynchronous Logic","Event-Driven Architecture"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22097424","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21170782","name":"Topological Latent Manifold Model v7.1: Harmonized ABF Causal Framework with Comprehensive Multi-Dimensional Validation","source":"datacite","abstract":"TLMM v7.1 (Topological Latent Manifold Model v7.1) advances the Amyloid–Blood Flow (ABF) causal framework from the theoretical architecture introduced in TLMM v7.0 toward a harmonized, empirically oriented validation framework. The underlying causal cascade Amyloid-β → Tau → Neuroinflammation → Network Dysfunction → Viability Risk Index remains unchanged from v7.0. Instead, this release focuses on comprehensive methodological validation and terminology harmonization. Major contributions include: Harmonized definitions of ND (Network Dysfunction) and VRI (Viability Risk Index) across the entire manuscript and figure series. Extension of the falsifiability framework from C1–C9 to C1–C12, introducing: C10: Causal Structure Reproducibility C11: Cross-Scale Consistency C12: Federated Consistency Unified five-dimensional biological latent space aligned directly with the ABF causal cascade. Multi-dimensional validation framework covering: causal structure learning, falsifiability, multi-scale validation, cross-cohort validation, temporal dynamics, federated validation, integrated evidence synthesis. Complete harmonization of terminology, manuscript text, appendices, and all sixteen figures. This repository contains: Full manuscript Rebuild script for reproducible PDF generation Sixteen publication-quality figures Documentation for archival reproducibility All quantitative values presented in this work are illustrative synthetic demonstrations intended to specify the proposed evaluation methodology. They do not represent clinical performance estimates derived from real patient data and should not be interpreted as medical evidence or clinical recommendations. This release serves as the harmonized validation reference for the TLMM v7.x series and provides the methodological foundation for subsequent empirical validation on longitudinal multi-cohort datasets.","url":"https://doi.org/10.5281/zenodo.21170782","authors":["Okino, Koji"],"tags":["Topological Latent Manifold Model","TLMM","Amyloid–Blood Flow","ABF","Causal AI","Bayesian Causal Learning","Structural Causal Model","Directed Acyclic Graph"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21170782","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21170783","name":"Topological Latent Manifold Model v7.1: Harmonized ABF Causal Framework with Comprehensive Multi-Dimensional Validation","source":"datacite","abstract":"TLMM v7.1 (Topological Latent Manifold Model v7.1) advances the Amyloid–Blood Flow (ABF) causal framework from the theoretical architecture introduced in TLMM v7.0 toward a harmonized, empirically oriented validation framework. The underlying causal cascade Amyloid-β → Tau → Neuroinflammation → Network Dysfunction → Viability Risk Index remains unchanged from v7.0. Instead, this release focuses on comprehensive methodological validation and terminology harmonization. Major contributions include: Harmonized definitions of ND (Network Dysfunction) and VRI (Viability Risk Index) across the entire manuscript and figure series. Extension of the falsifiability framework from C1–C9 to C1–C12, introducing: C10: Causal Structure Reproducibility C11: Cross-Scale Consistency C12: Federated Consistency Unified five-dimensional biological latent space aligned directly with the ABF causal cascade. Multi-dimensional validation framework covering: causal structure learning, falsifiability, multi-scale validation, cross-cohort validation, temporal dynamics, federated validation, integrated evidence synthesis. Complete harmonization of terminology, manuscript text, appendices, and all sixteen figures. This repository contains: Full manuscript Rebuild script for reproducible PDF generation Sixteen publication-quality figures Documentation for archival reproducibility All quantitative values presented in this work are illustrative synthetic demonstrations intended to specify the proposed evaluation methodology. They do not represent clinical performance estimates derived from real patient data and should not be interpreted as medical evidence or clinical recommendations. This release serves as the harmonized validation reference for the TLMM v7.x series and provides the methodological foundation for subsequent empirical validation on longitudinal multi-cohort datasets.","url":"https://doi.org/10.5281/zenodo.21170783","authors":["Okino, Koji"],"tags":["Topological Latent Manifold Model","TLMM","Amyloid–Blood Flow","ABF","Causal AI","Bayesian Causal Learning","Structural Causal Model","Directed Acyclic Graph"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21170783","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19772313","name":"SMILE as a Knowledge Externalization Framework for Defense-Critical SME Manufacturing: A Design Science Research Approach","source":"datacite","abstract":"Presents SMILE (Sustainable Methodology for Interoperable Lifecycle Environments) as a design science artifact for systematically externalizing tacit manufacturing knowledge. Applies Peffers et al. DSR methodology, Actor-Network Theory translation analysis, Ward and Daniel benefits dependency networks, and five falsifiable propositions to evaluate SMILE against defense supply chain requirements.","url":"https://doi.org/10.5281/zenodo.19772313","authors":["Waern, Nicolas"],"tags":["SMILE methodology","design science research","knowledge externalization","defense manufacturing","SME","Actor-Network Theory","benefits dependency network","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19772313","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19772314","name":"SMILE as a Knowledge Externalization Framework for Defense-Critical SME Manufacturing: A Design Science Research Approach","source":"datacite","abstract":"Presents SMILE (Sustainable Methodology for Interoperable Lifecycle Environments) as a design science artifact for systematically externalizing tacit manufacturing knowledge. Applies Peffers et al. DSR methodology, Actor-Network Theory translation analysis, Ward and Daniel benefits dependency networks, and five falsifiable propositions to evaluate SMILE against defense supply chain requirements.","url":"https://doi.org/10.5281/zenodo.19772314","authors":["Waern, Nicolas"],"tags":["SMILE methodology","design science research","knowledge externalization","defense manufacturing","SME","Actor-Network Theory","benefits dependency network","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19772314","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22054106","name":"Goldbach's Theorem and the Twin Prime Theorem Based on the Yin‑Yang Fractal Unified Field Theory ——An Axiomatic Framework/基于阴阳分形统一场论的哥德巴赫定理与孪生质数定理——一个公理化框架","source":"datacite","abstract":"Abstract This paper proves Goldbach's theorem and the twin prime theorem within the axiomatic framework of the Yin-Yang Fractal Unified Field Theory (YYFUFT).(vol.27) YYFUFT consists of four axioms: the Axiom of Energy Particle Emergence, the Axiom of 24-Fold Fractal Scaling, the Axiom of Luoshu Lattice Projection, and the Fractal Continuum Axiom (FCA). The FCA is the central geometric postulate of this framework: it stipulates that, in the fractal limit, the continuous Yin-side spiral trajectory contracts to zero, thereby rendering the infinite densification of layer coordinates across distinct digital-root orbits equivalent to fractal adhesion on Yang-side integer lattices. To convey the physical intuition underlying this axiom, one may picture the underlying reality as water — a continuous, indivisible continuum (the Yin side) — while the discrete integers and quantized states we observe are the tips of duckweed floating on the surface (the Yang side). The duckweed pads appear separate above the water, yet beneath the surface their roots are intertwined. Likewise, the discrete integers K = 1, 2, 3, ... stand independent on the Yang side, yet on the Yin side they are connected through contracting umbilical cords. The FCA is the axiomatic formalization of this geometric structure. On this basis, we rigorously prove the Fractal Collision Theorem: primes from any two distinct digital-root orbits undergo infinitely many collisions in the fractal limit. As direct corollaries, we obtain: (1) every even integer W>2 is expressible as the sum of two primes; and (2) there exist infinitely many pairs of primes differing by 2. These two statements remain open problems in standard number theory (ZFC + analytic number theory); we do not claim to have proven them within that framework. Our contribution is to establish them as theorems within the alternative axiomatic system of YYFUFT. The same framework also yields empirically supported predictions across particle physics, atomic physics, and gravitational physics — including 33 particle masses, the fine-structure constant, and the muon lifetime — providing independent empirical grounds for the choice of its axioms. Keywords: Yin-Yang Fractal Unified Field Theory; Fractal Continuum Axiom; Fractal Collision Theorem; Goldbach's theorem; twin prime theorem","url":"https://doi.org/10.5281/zenodo.22054106","authors":["Li, Shuping"],"tags":["Yin-Yang Fractal Unified Field Theory, axiomatic method, Fractal Continuum Axiom, Luoshu Lattice, digital-root orbit, layer coordinate, Fractal Collision Theorem, Goldbach's Theorem, Twin Prime Theorem, nonstandard analysis, number theory, fractal geometry, prime distribution, arithmetic progression, residue class, phase matching, La-Lang-Pei algorithm, energy particle spiral motion, golden ratio, density theorem, asymptotic uniform distribution, collision theorem, infinitude proof, axiomatic system, foundations of number theory, analytic number theory, sieve method, prime gap,阴阳分形统一场论,公理化方法,分形连续公理,洛书网格,数字根轨道,层数坐标,分形碰撞定理,哥德巴赫定理,孪生质数定理,非标准分析,数论,分形几何,素数分布,算术级数,同余类,相位匹配,拉郎配算法,能粒子螺旋运动,黄金比例,密度定理,渐近均匀分布,碰撞定理,无穷性证明,公理化体系,数论基础,解析数论,筛法,素数间隙"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22054106","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22074266","name":"Appendix C: YinSide Resonance Encoding of Twin Primes – Stratified Correspondence and Geometric Manifestation Conditions at Finite K -----This volume serves as a supplement to and refinement of the Fractal Collision Theorem presented in Volume 27(10.5281/zenodo.22054106)/附录C:孪生质数的阴面共振编码:有限K处的分层对应与几何显化条件 ------本卷是对第 27 卷所作的补充","source":"datacite","abstract":"Title: Yin-Side Resonance Encoding of Twin Primes – Stratified Correspondence and Geometric Manifestation Conditions at Finite K Abstract: Volume 27 proved the Fractal Collision Theorem within the Yin-Yang Fractal Unified Field Theory (YYFUFT): primes on the digital-root tracks 2 and 4 undergo infinitely many collisions as the layer coordinate tends to infinity. Yet this result only guarantees that \"collisions must occur sufficiently far out\"; it leaves two more concrete questions unanswered. First, for any specific finite integer K, does a collision actually occur? Second, what is the exact relationship between a geometric \"collision node\" and an arithmetic \"twin prime pair\"? This appendix brings the problem back from infinity to finite K and establishes a computable criterion—the resonance adhesion threshold: Δn(K) = log24((9K+4)/(9K+2)) < 9 / ((9K+4) ln 24) We rigorously prove that if 9K+2 and 9K+4 are twin primes, then this inequality necessarily holds; that is, twin primes are necessarily resonance nodes. The converse, however, fails: K=2 satisfies the inequality, yet 20 and 22 are both composite. Geometry does not force arithmetic. Within the YYFUFT physical picture, energy particles emerge from the void and execute eternal spiral motion. If a single trajectory ascends without interference from any other trajectory, its Yang-side projection is a prime; this is called the single-spiral pure state. If multiple trajectories intersect, superpose, and undergo phase dissipation on the Yin side, their Yang-side projection is a composite number. If the two trajectories at a resonance node maintain this single-spiral pure state without multi-spiral superposition, then they manifest as twin primes. This derivation, however, depends on the Prime Pure-State Axiom; its status as a geometry–arithmetic bridge remains conditional. Furthermore, the analytic number-theory \"precision gap\" identified in Volume 26 remains unbridged: the precision guaranteed by existing tools and the critical precision required for two primes to share the same K are separated by a factor of roughly 24^(2n/3). This appendix does not claim to close that gap; it marks the boundary honestly and leaves it for future work. Core positioning: Volume 27 proves that \"collisions must exist at infinity\"; this appendix proves \"what a collision looks like at a finite location.\" One guarantees existence, the other characterizes structure. Together they form the complete geometric–arithmetic framework of the Twin Prime Conjecture within YYFUFT. Keywords: Yin-Yang Fractal Unified Field Theory; Twin Prime Conjecture; Fractal Collision Theorem; Resonance Adhesion; Single-Spiral Pure State; Prime Pure-State Axiom","url":"https://doi.org/10.5281/zenodo.22074266","authors":["Li, Shuping"],"tags":["energy particle, spiral motion, Luoshu lattice, Yin‑Yang Fractal Unified Field Theory, golden ratio, 24‑fold fractal scaling, layer coordinate, digital root, multiplication‑by‑2 orbit, prime number, twin prime conjecture, Goldbach conjecture, Fractal Collision Theorem, Yin‑side umbilical cord, resonance adhesion, finite‑K coverage, layer‑coordinate threshold, number theory, analytic number theory, prime distribution, arithmetic progression, nonstandard analysis, quantum mechanics, string theory, loop quantum gravity, spacetime discreteness, fractal geometry, topological field theory, particle mass spectrum, unification of fundamental forces,能粒子,螺旋运动,洛书网格,阴阳分形统一场论,黄金比例,24倍分形放大,层数坐标,数字根,乘2轨道,质数,孪生质数猜想,哥德巴赫猜想,分形碰撞定理,阴面脐带,共振粘连,有限K覆盖,层数差阈值,数论,解析数论,素数分布,算术级数,非标准分析,量子力学,弦论,圈量子引力,时空离散性,分形几何,拓扑场论,粒子质量谱,基本力统一"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22074266","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22108610","name":"Structural Representation Learning for End-to-End Digital Twins of Semiconductor Manufacturing Environments","source":"datacite","abstract":"Learning digital twins of manufacturing requires representations that preserve the structural dependencies governing system behavior. These environments are structured, stochastic, and interconnected systems whose behavior emerges from interactions among jobs, operations, machines, routes, setup transitions, and scheduling decisions. This paper studies digital-twin learning as a structural representation learning problem, motivated by the challenges for graph neural networks in scheduling settings with directed relations, setup dependencies, and long-range interactions. Using semiconductor-inspired flexible job shop environments, we isolate representation learning end-to-end optimization pipelines by evaluating encoders for predictions from fixed schedules and constraint structures. The study compares graph-based models with alternative sequence, set, attention, and state-space representations to understand which inductive biases are most suitable for manufacturing scheduling data. Particular emphasis is placed on the limitations of local message passing and when extended graph architectures are needed, and how directionality, setup encoding, readout design, and ambient representation affect representation quality. Overall, the paper aims to clarify how different representation learning classes capture manufacturing structure and where current GNN-based approaches remain limited for reusable data-driven digital twins.","url":"https://doi.org/10.5281/zenodo.22108610","authors":["Taheri Yeganeh, Yavar","MATTA, ANDREA"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22108610","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22108611","name":"Structural Representation Learning for End-to-End Digital Twins of Semiconductor Manufacturing Environments","source":"datacite","abstract":"Learning digital twins of manufacturing requires representations that preserve the structural dependencies governing system behavior. These environments are structured, stochastic, and interconnected systems whose behavior emerges from interactions among jobs, operations, machines, routes, setup transitions, and scheduling decisions. This paper studies digital-twin learning as a structural representation learning problem, motivated by the challenges for graph neural networks in scheduling settings with directed relations, setup dependencies, and long-range interactions. Using semiconductor-inspired flexible job shop environments, we isolate representation learning end-to-end optimization pipelines by evaluating encoders for predictions from fixed schedules and constraint structures. The study compares graph-based models with alternative sequence, set, attention, and state-space representations to understand which inductive biases are most suitable for manufacturing scheduling data. Particular emphasis is placed on the limitations of local message passing and when extended graph architectures are needed, and how directionality, setup encoding, readout design, and ambient representation affect representation quality. Overall, the paper aims to clarify how different representation learning classes capture manufacturing structure and where current GNN-based approaches remain limited for reusable data-driven digital twins.","url":"https://doi.org/10.5281/zenodo.22108611","authors":["Taheri Yeganeh, Yavar","MATTA, ANDREA"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22108611","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22067010","name":"Supplementary material for \"Cityverse Readiness: A Critical-Infrastructure Reading of the Smart City Promise\"","source":"datacite","abstract":"Supplementary material accompanying the paper \"Cityverse Readiness: A Critical-Infrastructure Reading of the Smart City Promise\", presented at Academic Mindtrek 2026 in the Future of Smart Cities track. The paper reports a reflexive thematic analysis of nine semi-structured interviews with partners of the Metadata to Metaverse (MD2MV) consortium, a multi-scale digital-twin research project spanning the individual, building, and city scales of the built environment. This deposit contains the supporting analytical documentation: S1 Overview: deposit contents, methodology summary, anonymisation policy, and ethics and consent statement.S2 Participant Summary: the nine interview participants by partner identifier, with sector, primary scale, interview role, interview month, transcript length, partner type, and topical coverage.S3 Interview Guide: the six-topic semi-structured guide used across all nine interviews.S4 Thematic Codebook: pooled inductive codes across the corpus, the seven inductive themes with cross-partner support, and a selective code-to-evidence index with representative quotes.S5 Continuum Positioning: per-partner placement on the 3D model, Digital Model, Digital Shadow, Digital Twin, cityverse trajectory, with cited evidence and a cross-partner reading.","url":"https://doi.org/10.5281/zenodo.22067010","authors":["Shawash, Janset"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22067010","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22067011","name":"Supplementary material for \"Cityverse Readiness: A Critical-Infrastructure Reading of the Smart City Promise\"","source":"datacite","abstract":"Supplementary material accompanying the paper \"Cityverse Readiness: A Critical-Infrastructure Reading of the Smart City Promise\", presented at Academic Mindtrek 2026 in the Future of Smart Cities track. The paper reports a reflexive thematic analysis of nine semi-structured interviews with partners of the Metadata to Metaverse (MD2MV) consortium, a multi-scale digital-twin research project spanning the individual, building, and city scales of the built environment. This deposit contains the supporting analytical documentation: S1 Overview: deposit contents, methodology summary, anonymisation policy, and ethics and consent statement.S2 Participant Summary: the nine interview participants by partner identifier, with sector, primary scale, interview role, interview month, transcript length, partner type, and topical coverage.S3 Interview Guide: the six-topic semi-structured guide used across all nine interviews.S4 Thematic Codebook: pooled inductive codes across the corpus, the seven inductive themes with cross-partner support, and a selective code-to-evidence index with representative quotes.S5 Continuum Positioning: per-partner placement on the 3D model, Digital Model, Digital Shadow, Digital Twin, cityverse trajectory, with cited evidence and a cross-partner reading.","url":"https://doi.org/10.5281/zenodo.22067011","authors":["Shawash, Janset"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22067011","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22108424","name":"Construction Method of Digital Twin-Scene Model for Ecological Art Landscape-in-Urban-Renewal Area for Microclimate-Regulatione","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22108424","authors":["Yang, Chen","Li, wei Yu"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22108424","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22108425","name":"Construction Method of Digital Twin-Scene Model for Ecological Art Landscape-in-Urban-Renewal Area for Microclimate-Regulatione","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22108425","authors":["Yang, Chen","Li, wei Yu"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22108425","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20242013","name":"The Mathematics of Neurological Failure: Predicting Disease Onset through a Simulation of Delay-Induced Fragility","source":"datacite","abstract":"Current neurological diagnostic frameworks rely on probabilistic biomarkers that provide a static \"snapshot\" of pathology but lack the temporal resolution required to predict clinical onset. This research presents a deterministic approach to neuro-prognostics by modeling neurodegeneration as a systemic collapse governed by the laws of delay-induced fragility. By introducing the Srivastava Constant (v_s) and utilizing a high-dimensional digital twin framework, we simulate the kinetic decay of neuronal stability. Our findings indicate that neurological failure is a predictable phase transition that occurs when signal delays exceed a critical biological threshold. This model provides a robust mathematical foundation for forecasting the 15-year prophylactic window, shifting the clinical paradigm from reactive diagnosis to deterministic prevention.","url":"https://doi.org/10.5281/zenodo.20242013","authors":["Tanmay Srivastava"],"tags":["Delay-Induced Fragility","Computational neuroscience","Neurodegenerative Diseases","Systems Biology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20242013","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20242014","name":"The Mathematics of Neurological Failure: Predicting Disease Onset through a Simulation of Delay-Induced Fragility","source":"datacite","abstract":"Current neurological diagnostic frameworks rely on probabilistic biomarkers that provide a static \"snapshot\" of pathology but lack the temporal resolution required to predict clinical onset. This research presents a deterministic approach to neuro-prognostics by modeling neurodegeneration as a systemic collapse governed by the laws of delay-induced fragility. By introducing the Srivastava Constant (v_s) and utilizing a high-dimensional digital twin framework, we simulate the kinetic decay of neuronal stability. Our findings indicate that neurological failure is a predictable phase transition that occurs when signal delays exceed a critical biological threshold. This model provides a robust mathematical foundation for forecasting the 15-year prophylactic window, shifting the clinical paradigm from reactive diagnosis to deterministic prevention.","url":"https://doi.org/10.5281/zenodo.20242014","authors":["Tanmay Srivastava"],"tags":["Delay-Induced Fragility","Computational neuroscience","Neurodegenerative Diseases","Systems Biology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20242014","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20750196","name":"D9.2 Services Implementation v1","source":"datacite","abstract":"This deliverable reports on the second stage of the Service Design and Implementation work package within the ARTEMIS project. It also covers the first implementation phase of the ARTEMIS service ecosystem, building on the service design and specification work documented in Deliverable D9.1. While D9.1 defined the methodological and technical baseline for the identification, classification, and description of the ARTEMIS services, D9.2 focuses on the evolution of the service specifications during the implementation phase, with particular attention to the changes introduced in the API definitions of the different service categories.","url":"https://doi.org/10.5281/zenodo.20750196","authors":["Colizzi, Lucio","Verardi, Loredana","Mena, Fady"],"tags":["Digital Twin","RHDT","Service design"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20750196","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20750197","name":"D9.2 Services Implementation v1","source":"datacite","abstract":"This deliverable reports on the second stage of the Service Design and Implementation work package within the ARTEMIS project. It also covers the first implementation phase of the ARTEMIS service ecosystem, building on the service design and specification work documented in Deliverable D9.1. While D9.1 defined the methodological and technical baseline for the identification, classification, and description of the ARTEMIS services, D9.2 focuses on the evolution of the service specifications during the implementation phase, with particular attention to the changes introduced in the API definitions of the different service categories.","url":"https://doi.org/10.5281/zenodo.20750197","authors":["Colizzi, Lucio","Verardi, Loredana","Mena, Fady"],"tags":["Digital Twin","RHDT","Service design"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20750197","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21133315","name":"AI and MI — Sovereign AI and Sovereign Manufacturing","source":"datacite","abstract":"\"AI and MI — Sovereign AI and Sovereign Manufacturing\" is the first of the AI·MI trilogy. Beside the pyramid that artificial intelligence (AI) builds — semiconductors, data centers, giant models — it defines another pyramid growing beneath the surface in nearly perfect mirror symmetry: Manufacturing Intelligence (MI). The two pyramids are a single square turned 45 degrees and split along its diagonal, and the line dividing them is at once the tariff line and the ground line. Above is the state-led formal, objective domain (semiconductors, cars, robots), subject to tariffs and sanctions; below is the citizen-led informal, subjective domain (fashion, consumer goods), invisible to aggregate statistics. It lays the ladder of intelligence (AI→AGI→ASI) one-to-one onto manufacturing (MI→MGI→MSI), and to the two axes named by Gershenfeld's \"bits and atoms\" — from among Wiener's three (matter, energy, information) — it adds the third axis: energy, that is, human labor and sovereignty. The empirical sample is digital textile printing, and through the medium shift that replaces PET film with paper (Direct-to-Paper, DTP), it shows how seven layers — material, equipment, process, production, logistics, platform, finance — correspond in mirror image. Let me state the place of this work plainly. Several of the large concepts used here were already built by others, and I do not claim to have discovered them. Sovereign AI was popularized by figures such as Nvidia's Jensen Huang and formalized by Cerulli and Singh; the China Shock belongs to Autor, Dorn, and Hanson; bits and atoms belong to Gershenfeld. What I did first was to thread those scattered pieces into one frame and give a name to the mirror image no one had named — as the 1956 Dartmouth conference gathered scattered research into a single field called \"artificial intelligence.\" What this work sets down first is fourfold. First, a single frame that raises the Manufacturing Intelligence (Sovereign Manufacturing) pyramid as the underground mirror of the AI pyramid and divides the two by the tariff line. Second, a reading of the China Shock not as size but as a shift of medium — a generational theory dividing the analog shocks (1st, 2nd) from the digital shocks (3rd, 4th, whose first form is consumer goods' \"China Shock 3.0\"), and its mechanism. Third, a redefinition of Sovereign Manufacturing not as national self-sufficiency but as a scale-invariant sovereignty that releases the capacity of material, process, and sale from a few hands to place everyone at the same starting line, with an era-design arranging intelligence, labor, manufacturing, and governance as 30:30:30:10. Fourth, where Gershenfeld democratized making as \"sharing,\" an answer to the question he left open — how is the creator rewarded — as \"sharing with ownership and settlement guaranteed\": provenance proof and automatic escrow settlement are that answer. These are not discoveries but synthesis, naming, and redefinition, and so they are not refuted but preempted with a date. This document also serves as a defensive publication. The constructions above are theories and concepts, not objects of patent, and who formalized them first is proven by the date and identifier (DOI) of disclosure. One phrase runs through all of this design and is its credo — leveling the inputs to free the outputs. Author: Chang, Hyung Kee (denix, 장형기) · KOTINESTEORCID: 0009-0003-0921-8014License: CC BY 4.0 (open and free to use) Series DOIs —First paper «AI and MI»: Korean 10.5281/zenodo.21131400 · English 10.5281/zenodo.21133315 · Portuguese 10.5281/zenodo.21133329Second paper «AGI and MGI»: Korean 10.5281/zenodo.21218392 · English 10.5281/zenodo.21218409 · Portuguese 10.5281/zenodo.21218413 The first of the series, dedicated to Paulo Coelho, who sang that all things flow as one. Even a falling leaf does not die, but flows again within the tree — from that one sentence of Paulo Coelho, I drew the very first intuition of this work.","url":"https://doi.org/10.5281/zenodo.21133315","authors":["Chang, Hyung Kee"],"tags":["AI and MI","Manufacturing Intelligence (MI)","the AI:MI ladder (AGI:MGI · ASI:MSI)","matter compilation","the two pyramids","mirror symmetry","the law of angles","quantum teleportation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21133315","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19388848","name":"SYSTEMIC UNITY PROTOCOL (SUP) - A Predictive framework for Multimorbidity via Bio-Digital Twin integration","source":"openalex","abstract":"The global healthcare challenge of chronic multimorbidity requires a paradigm shift from fragmented, organ-specific interventions to an integrated systems-engineering approach. This manuscript presents the Systemic Unit Protocol (SUP), a Phase 5 conceptual framework designed to orchestrate complex therapeutic strategies through the use of Bio-Digital Twin (BDT) technology. Unlike conventional protocols, the SUP conceptualizes the human body as a dynamic network of interconnected systems. At its computational core, the protocol introduces the Systemic Alignment Metric (SAM), a proprietary multidimensional index that mathematically calculates the distance between an individual's \"Genomic Baseline\" (the theoretical state of optimal health or Prakriti) and their current \"Phenotypic dysregulation\" (Vikriti). By utilizing differential equations, the SUP enables the simulation of systemic responses to various inputs (botanical compounds, chronobiological adjustments, and dietary vectors) before clinical application. The operational logic of the SUP is governed by a Tri-Phasic Functional Hierarchy: Phase I (Srotas): Restoration of biological barrier integrity (intestinal and vascular) to minimize systemic low-grade inflammation. Phase II (Agni): Optimization of mitochondrial bioenergetics and metabolic intelligence through targeted molecular triggers. Phase III (Ojas): Stabilization of neuro-endocrine resilience and homeostatic buffering capacity. The framework emphasizes Chronomodulation (Kala), synchronizing therapeutic delivery with peripheral molecular clocks and circadian rhythms to maximize efficacy and minimize off-target effects. Legal defense and Authorial status : This work is the product of Systems Architecture and Conceptual Design and is authored by Valentina Luongo, who acts strictly as a Consultant and Researcher in Scientific Naturopathy and Ayurveda. Author’s Non-Medical Status: the Author is not a medical doctor. Consequently, this protocol is presented as a theoretical model for academic and research purposes only. Exclusion of Liability: the Author shall not be held liable for any clinical use, unauthorized application, or health outcomes resulting from the interpretation of this framework. Exclusive Clinical Mandate: the implementation of any part of the SUP—including the prescription of substances and clinical monitoring—is the sole, exclusive, and non-delegable responsibility of licensed medical practitioners. Any clinician choosing to apply this framework does so under their own professional license and legal liability. Status: this is a non-validated, theoretical methodology (Phase 5). Intellectual Property and Digital Integrity: © 2026 Valentina Luongo. All rights reserved. This framework is protected by international Intellectual Property laws. Originality and temporal priority are legally secured via digital time-stamping and Aruba PEC/Trust Services signature. Any reproduction or commercial exploitation without explicit written authorization is strictly prohibited.","url":"https://doi.org/10.5281/zenodo.19388848","authors":["Luongo, Valentina","V. Luongo"],"tags":["Protocol (science)","Resilience (materials science)","Computer science","Multimorbidity","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19388848","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.5281/zenodo.19388849","name":"SYSTEMIC UNITY PROTOCOL (SUP) - A Predictive framework for Multimorbidity via Bio-Digital Twin integration","source":"openalex","abstract":"The global healthcare challenge of chronic multimorbidity requires a paradigm shift from fragmented, organ-specific interventions to an integrated systems-engineering approach. This manuscript presents the Systemic Unit Protocol (SUP), a Phase 5 conceptual framework designed to orchestrate complex therapeutic strategies through the use of Bio-Digital Twin (BDT) technology. Unlike conventional protocols, the SUP conceptualizes the human body as a dynamic network of interconnected systems. At its computational core, the protocol introduces the Systemic Alignment Metric (SAM), a proprietary multidimensional index that mathematically calculates the distance between an individual's \"Genomic Baseline\" (the theoretical state of optimal health or Prakriti) and their current \"Phenotypic dysregulation\" (Vikriti). By utilizing differential equations, the SUP enables the simulation of systemic responses to various inputs (botanical compounds, chronobiological adjustments, and dietary vectors) before clinical application. The operational logic of the SUP is governed by a Tri-Phasic Functional Hierarchy: Phase I (Srotas): Restoration of biological barrier integrity (intestinal and vascular) to minimize systemic low-grade inflammation. Phase II (Agni): Optimization of mitochondrial bioenergetics and metabolic intelligence through targeted molecular triggers. Phase III (Ojas): Stabilization of neuro-endocrine resilience and homeostatic buffering capacity. The framework emphasizes Chronomodulation (Kala), synchronizing therapeutic delivery with peripheral molecular clocks and circadian rhythms to maximize efficacy and minimize off-target effects. Legal defense and Authorial status : This work is the product of Systems Architecture and Conceptual Design and is authored by Valentina Luongo, who acts strictly as a Consultant and Researcher in Scientific Naturopathy and Ayurveda. Author’s Non-Medical Status: the Author is not a medical doctor. Consequently, this protocol is presented as a theoretical model for academic and research purposes only. Exclusion of Liability: the Author shall not be held liable for any clinical use, unauthorized application, or health outcomes resulting from the interpretation of this framework. Exclusive Clinical Mandate: the implementation of any part of the SUP—including the prescription of substances and clinical monitoring—is the sole, exclusive, and non-delegable responsibility of licensed medical practitioners. Any clinician choosing to apply this framework does so under their own professional license and legal liability. Status: this is a non-validated, theoretical methodology (Phase 5). Intellectual Property and Digital Integrity: © 2026 Valentina Luongo. All rights reserved. This framework is protected by international Intellectual Property laws. Originality and temporal priority are legally secured via digital time-stamping and Aruba PEC/Trust Services signature. Any reproduction or commercial exploitation without explicit written authorization is strictly prohibited.","url":"https://doi.org/10.5281/zenodo.19388849","authors":["Luongo, Valentina","V. Luongo"],"tags":["Protocol (science)","Resilience (materials science)","Computer science","Multimorbidity","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19388849","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.5281/zenodo.22108335","name":"Study of Corrosion Deterioration in Industrial Machinery and Equipment: A Comprehensive Review","source":"datacite","abstract":"Corrosion deterioration is one of the most significant challenges affecting the reliability, safety, and service life of industrial machinery and equipment. It causes gradual degradation of metallic materials through chemical and electrochemical reactions with the surrounding environment, leading to equipment failure, production losses, increased maintenance costs, and safety hazards. Corrosion affects a wide range of industries, including manufacturing, oil and gas, power generation, chemical processing, marine engineering, mining, transportation, and infrastructure. Traditional corrosion management relies on periodic inspections, protective coatings, cathodic protection, and corrosion inhibitors. However, the emergence of Industry 4.0 technologies has introduced intelligent corrosion monitoring systems that integrate sensors, the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Digital Twins, robotics, and predictive analytics for real-time corrosion assessment and maintenance planning. This review comprehensively discusses corrosion mechanisms, types of corrosion, influencing factors, conventional corrosion assessment techniques, modern monitoring technologies, corrosion prevention and control strategies, industrial applications, current challenges, and future research directions. The review highlights the importance of integrating advanced sensing technologies with intelligent maintenance systems to improve equipment reliability, reduce operational costs, and achieve sustainable industrial asset management.","url":"https://doi.org/10.5281/zenodo.22108335","authors":["T. M. S. A. Hossain","A. K. Saad","I. M. Santo","M. Hossain","M. S. Islam"],"tags":["Corrosion, Industrial Machinery, Corrosion Monitoring, Predictive Maintenance, Industry 4.0, IoT, Artificial Intelligence, Digital Twin, Corrosion Protection, Structural Health Monitoring."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22108335","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22040950","name":"Study of Corrosion Deterioration in Industrial Machinery and Equipment: A Comprehensive Review","source":"datacite","abstract":"Corrosion deterioration is one of the most significant challenges affecting the reliability, safety, and service life of industrial machinery and equipment. It causes gradual degradation of metallic materials through chemical and electrochemical reactions with the surrounding environment, leading to equipment failure, production losses, increased maintenance costs, and safety hazards. Corrosion affects a wide range of industries, including manufacturing, oil and gas, power generation, chemical processing, marine engineering, mining, transportation, and infrastructure. Traditional corrosion management relies on periodic inspections, protective coatings, cathodic protection, and corrosion inhibitors. However, the emergence of Industry 4.0 technologies has introduced intelligent corrosion monitoring systems that integrate sensors, the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Digital Twins, robotics, and predictive analytics for real-time corrosion assessment and maintenance planning. This review comprehensively discusses corrosion mechanisms, types of corrosion, influencing factors, conventional corrosion assessment techniques, modern monitoring technologies, corrosion prevention and control strategies, industrial applications, current challenges, and future research directions. The review highlights the importance of integrating advanced sensing technologies with intelligent maintenance systems to improve equipment reliability, reduce operational costs, and achieve sustainable industrial asset management.","url":"https://doi.org/10.5281/zenodo.22040950","authors":["T. M. S. A. Hossain","A. K. Saad","I. M. Santo","M. Hossain","M. S. Islam"],"tags":["Corrosion, Industrial Machinery, Corrosion Monitoring, Predictive Maintenance, Industry 4.0, IoT, Artificial Intelligence, Digital Twin, Corrosion Protection, Structural Health Monitoring."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22040950","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21249537","name":"AI and MI — Sovereign AI and Sovereign Manufacturing","source":"datacite","abstract":"The story of two pyramids — intelligence 인공지능(人工知能) above, manufacturing 제조지능(製造知能) below, in mirror symmetry 거울상(鏡像). The first of three connected essays, it reads how the analog pyramid humanity long raised from earth and stone splits, at the threshold of digital civilization, into two pyramids. Above stands the pyramid that artificial intelligence (AI) builds — semiconductors, data centers, giant models, and the capital piling atop them — in plain sight of all; and beneath the surface, growing one layer at a time in nearly perfect mirror symmetry 거울상(鏡像), stands another pyramid. If the upper is the automation of information (bits), the lower is the automation and democratization 민주화(民主化) of matter (atoms), and this lower pyramid is the material-side twin of artificial intelligence — Manufacturing Intelligence 제조지능(製造知能, MI). The two pyramids are a single square turned 45 degrees and split along its diagonal, and the line dividing them is at once the tariff line 관세선(關稅線) and the ground line 지표선(地表線). Above is the state-led formal, objective domain (semiconductors, cars, robots), subject to tariffs and sanctions; below is the citizen-led informal, subjective domain (fashion, consumer goods), invisible to aggregate statistics. The core structure of this essay is to lay the ladder of intelligence one-to-one onto manufacturing — AI:MI, AGI:MGI, ASI:MSI. Today's two-dimensional textile transfer (DTF·DTP) is the stage at which narrow-sense Manufacturing Intelligence (MI) is already commercialized and widespread, and the spread of UV and 3D printing shows that the passage to general Manufacturing Intelligence 범용제조지능(汎用製造知能, MGI) is under way — at the same time as artificial general intelligence (AGI). At the ladder's end, matter compilation 물질 컴파일(物質 compile, 현지 합성) through molecular-scale nozzles is the horizon of Manufacturing Superintelligence 초제조지능(超製造知能, MSI). Here, though, \"intelligence\" is a metaphor for generality and capacity, not cognition 인지(認知), and should be read as a speculative 사변(思辨) extrapolation 외삽(外揷). This structure matters because every problem humanity now fears in artificial intelligence — concentration in a few hands, the vanishing of jobs, governance, \"who controls it\" — repeats one-to-one in manufacturing. And the deepest difference dividing the two pyramids is energy. The upper turns on the artificial energy machines burn (power plants); the lower turns on the natural energy people expend — the human labor 노동(勞動) and sovereignty 주권(主權) that cannot be moved or outsourced. To the two axes named by Gershenfeld's \"bits and atoms\" — from among Wiener's three (matter, energy, information) — this essay adds the third axis, energy. The empirical sample is digital textile printing, and through the medium shift 매질 전환(媒質轉換, Direct-to-Paper, DTP) that replaces PET film with 96% pulp paper, it shows how seven layers — material, equipment, process, production, logistics, platform, finance — correspond in mirror image. Let me state the place of this work plainly. Several of the large concepts used here were already built by others, and I do not claim to have discovered them. Sovereign AI was popularized by figures such as Nvidia's Jensen Huang and formalized by Cerulli and Singh; the China Shock belongs to Autor, Dorn, and Hanson; bits and atoms belong to Gershenfeld. What I did first was to thread those scattered pieces into one frame and give a name to the mirror image no one had named — as the 1956 Dartmouth conference gathered scattered research into a single field called \"artificial intelligence.\" What this work sets down first is fourfold. First, a single frame that raises the Manufacturing Intelligence (Sovereign Manufacturing) pyramid as the underground mirror of the AI pyramid and divides the two by the tariff line. Second, a reading of the China Shock not as size but as a shift of medium — a generational theory 세대론(世代論) dividing the analog shocks of industrial civilization (1st, 2nd) from the digital shocks of","url":"https://doi.org/10.5281/zenodo.21249537","authors":["Chang, Hyung Kee"],"tags":["AI and MI","Manufacturing Intelligence (MI)","the AI:MI ladder (AGI:MGI · ASI:MSI)","matter compilation","the two pyramids","mirror symmetry","the law of angles","quantum teleportation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21249537","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21864879","name":"Analysis of a Manual Process and Proposal of a Semi-Automated Cell for Unpackaging Chocolate Bars in a Food-Grade Process","source":"datacite","abstract":"Chocolate-handling process currently relies on manual labor: operators open cardboard boxes, cut packaging, unwrap each chocolate bar by hand, and load the unwrapped product into a Baskett tempering machine. This manual dependency introduces process variability, operator fatigue, and a throughput ceiling imposed by the Baskett's fixed 70-minute batch cycle. This paper presents the design and Digital Twin simulation of a semi-automated workstation that integrates a feeder, a collaborative robotic arm with a custom friction-roller gripper, a waste-handling subsystem, and an Industry 4.0 monitoring stack (SCADA, HMI, and an AI-based decision-support layer) to remove the manual unwrapping bottleneck. The material flow was modeled in Siemens Plant Simulation, and the robotic operation was validated in Process Simulate, while a Node-RED/Firebase/React architecture emulated the supervisory control layer. Over a simulated 24-hour period, the workstation processed 18,432 individual chocolate bars across 12 production batches while sustaining synchronization with the Baskett cycle. The Baskett remained the limiting resource, occupied 76.09% of the time, while the robotic subsystem operated well under capacity (conveyor utilization 100%, gripper utilization 42.67%, pick-and-place utilization 38.4%), indicating margin for future throughput increases. The results confirm that the proposed cell eliminates the manual unwrapping task while remaining compatible with existing downstream equipment, and they identify the Baskett cycle time as the priority target for further improvement.","url":"https://doi.org/10.5281/zenodo.21864879","authors":["Espinosa-Cervantes, Marco Antonio","López-Garza, Leopoldo","Olivares-Arenas, Reynaldo Alberto","Martínez-González, Montserrat"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21864879","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21864880","name":"Analysis of a Manual Process and Proposal of a Semi-Automated Cell for Unpackaging Chocolate Bars in a Food-Grade Process","source":"datacite","abstract":"Chocolate-handling process currently relies on manual labor: operators open cardboard boxes, cut packaging, unwrap each chocolate bar by hand, and load the unwrapped product into a Baskett tempering machine. This manual dependency introduces process variability, operator fatigue, and a throughput ceiling imposed by the Baskett's fixed 70-minute batch cycle. This paper presents the design and Digital Twin simulation of a semi-automated workstation that integrates a feeder, a collaborative robotic arm with a custom friction-roller gripper, a waste-handling subsystem, and an Industry 4.0 monitoring stack (SCADA, HMI, and an AI-based decision-support layer) to remove the manual unwrapping bottleneck. The material flow was modeled in Siemens Plant Simulation, and the robotic operation was validated in Process Simulate, while a Node-RED/Firebase/React architecture emulated the supervisory control layer. Over a simulated 24-hour period, the workstation processed 18,432 individual chocolate bars across 12 production batches while sustaining synchronization with the Baskett cycle. The Baskett remained the limiting resource, occupied 76.09% of the time, while the robotic subsystem operated well under capacity (conveyor utilization 100%, gripper utilization 42.67%, pick-and-place utilization 38.4%), indicating margin for future throughput increases. The results confirm that the proposed cell eliminates the manual unwrapping task while remaining compatible with existing downstream equipment, and they identify the Baskett cycle time as the priority target for further improvement.","url":"https://doi.org/10.5281/zenodo.21864880","authors":["Espinosa-Cervantes, Marco Antonio","López-Garza, Leopoldo","Olivares-Arenas, Reynaldo Alberto","Martínez-González, Montserrat"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21864880","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20116262","name":"TLMM v4.2: Identifiability, Energy-Optimal Adaptive Control, Robustness, Recovery, and Translational Roadmap for Adaptive Neuromodulation","source":"datacite","abstract":"TLMM v4.2 is an illustrative and simulation-derived adaptive neuromodulation framework integrating structural identifiability, Bayesian state estimation, energy-optimal adaptive control, robustness analysis, colored-noise-aware operable-window narrowing, recovery dynamics, and translational roadmap planning. This repository contains: - a finalized infographic-style figure report,- conceptual and mechanistic synthesis figures,- robustness and recovery analyses,- translational feasibility visualizations,- and a supplementary simplified figure-generation script reproducing selected conceptual trends. The framework emphasizes:- energy-efficient adaptive control,- operable-window maintenance,- robustness under uncertainty,- recovery after perturbation,- and long-term adaptive scheduling. All figures and results are illustrative and simulation-derived. No real patient or clinical data are used. This work is intended for conceptual, methodological, and systems-level exploration of adaptive neuromodulation architectures and translational modeling frameworks.","url":"https://doi.org/10.5281/zenodo.20116262","authors":["Okino, Koji"],"tags":["adaptive neuromodulation","closed-loop control","TLMM v4.2","structural identifiability","energy-optimal control","operable window","colored noise","Ornstein–Uhlenbeck process"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20116262","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20116263","name":"TLMM v4.2: Identifiability, Energy-Optimal Adaptive Control, Robustness, Recovery, and Translational Roadmap for Adaptive Neuromodulation","source":"datacite","abstract":"TLMM v4.2 is an illustrative and simulation-derived adaptive neuromodulation framework integrating structural identifiability, Bayesian state estimation, energy-optimal adaptive control, robustness analysis, colored-noise-aware operable-window narrowing, recovery dynamics, and translational roadmap planning. This repository contains: - a finalized infographic-style figure report,- conceptual and mechanistic synthesis figures,- robustness and recovery analyses,- translational feasibility visualizations,- and a supplementary simplified figure-generation script reproducing selected conceptual trends. The framework emphasizes:- energy-efficient adaptive control,- operable-window maintenance,- robustness under uncertainty,- recovery after perturbation,- and long-term adaptive scheduling. All figures and results are illustrative and simulation-derived. No real patient or clinical data are used. This work is intended for conceptual, methodological, and systems-level exploration of adaptive neuromodulation architectures and translational modeling frameworks.","url":"https://doi.org/10.5281/zenodo.20116263","authors":["Okino, Koji"],"tags":["adaptive neuromodulation","closed-loop control","TLMM v4.2","structural identifiability","energy-optimal control","operable window","colored noise","Ornstein–Uhlenbeck process"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20116263","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21509858","name":"Forest Digital Twin Database - A Supabase-powered PostgreSQL/PostGIS Schema","source":"datacite","abstract":"Supabase-powered PostgreSQL/PostGIS database schema for creating digital twins of forests. Provides tables for tree inventory, species data, growth simulation variants, and integration with forest growth models (SILVA, iLand). Includes auto-generated REST APIs via PostgREST and local Docker deployment.","url":"https://doi.org/10.5281/zenodo.21509858","authors":["Sperlich, Maximilian"],"tags":["digital-twin","forest-inventory","postgis","postgresql","supabase","database"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21509858","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21509859","name":"Forest Digital Twin Database - A Supabase-powered PostgreSQL/PostGIS Schema","source":"datacite","abstract":"Supabase-powered PostgreSQL/PostGIS database schema for creating digital twins of forests. Provides tables for tree inventory, species data, growth simulation variants, and integration with forest growth models (SILVA, iLand). Includes auto-generated REST APIs via PostgREST and local Docker deployment.","url":"https://doi.org/10.5281/zenodo.21509859","authors":["Sperlich, Maximilian"],"tags":["digital-twin","forest-inventory","postgis","postgresql","supabase","database"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21509859","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20371630","name":"An Active Intracranial Modulation Framework in Neurosurgery: Integrating Fluid-Structure Interaction (FSI) and Fail-Safe System Engineering","source":"datacite","abstract":"Background: Traditional intracranial pressure (ICP) management in neurosurgery relies heavily on passive monitoring and manual configurations, which often fail to dynamically adapt to the complex, non-linear biomechanical behaviors of brain parenchyma and cerebrospinal fluid (CSF) during operative procedures. Methods: This paper proposes a novel, closed-loop active intracranial modulation framework designed to optimize neurological safety during complex cranial interventions, such as traumatic brain injury (TBI) management, tumor resections, and endoscopic neurosurgery. The architecture integrates an advanced Fluid-Structure Interaction (FSI) model combining Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) to create a patient-specific Digital Twin. High-precision, biocompatible, and electromagnetic-interference-free Fiber Optic Sensing (FOS) technology serves as the real-time data anchor, while an autonomous Edge Computing infrastructure eliminates latency down to the millisecond scale. Results: To mitigate the inherent risks of autonomous algorithmic adjustments, the framework implements a strict multi-layered technical safety paradigm. The core optimization loop is governed by a robust Safety Interlock layer based on dynamic Factors of Safety (FOS) and Limit State Design, ensuring that all automated valve modulations strictly remain within pre-configured physical boundaries. Furthermore, an instantaneous Manual Override mechanism guarantees a fail-safe state, ensuring the surgeon maintains ultimate veto authority over the system at all times. Conclusion: By combining adaptive machine learning capabilities with rigorous structural engineering principles, this framework achieves continuous closed-loop feedback that dynamically \"learns\" and adapts to the biological variations of the patient. This system transitions medical devices from passive monitors to proactive navigation assistants, establishing a new paradigm of personalized and ultra-safe intracranial regulation in modern neurosurgery. Keywords: Fluid-Structure Interaction (FSI), Digital Twin, Fiber Optic Sensing (FOS), Edge Computing, Closed-loop Control, Neurosurgery Safety.","url":"https://doi.org/10.5281/zenodo.20371630","authors":["Pham, Minh Phuong"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20371630","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20371631","name":"An Active Intracranial Modulation Framework in Neurosurgery: Integrating Fluid-Structure Interaction (FSI) and Fail-Safe System Engineering","source":"datacite","abstract":"Background: Traditional intracranial pressure (ICP) management in neurosurgery relies heavily on passive monitoring and manual configurations, which often fail to dynamically adapt to the complex, non-linear biomechanical behaviors of brain parenchyma and cerebrospinal fluid (CSF) during operative procedures. Methods: This paper proposes a novel, closed-loop active intracranial modulation framework designed to optimize neurological safety during complex cranial interventions, such as traumatic brain injury (TBI) management, tumor resections, and endoscopic neurosurgery. The architecture integrates an advanced Fluid-Structure Interaction (FSI) model combining Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) to create a patient-specific Digital Twin. High-precision, biocompatible, and electromagnetic-interference-free Fiber Optic Sensing (FOS) technology serves as the real-time data anchor, while an autonomous Edge Computing infrastructure eliminates latency down to the millisecond scale. Results: To mitigate the inherent risks of autonomous algorithmic adjustments, the framework implements a strict multi-layered technical safety paradigm. The core optimization loop is governed by a robust Safety Interlock layer based on dynamic Factors of Safety (FOS) and Limit State Design, ensuring that all automated valve modulations strictly remain within pre-configured physical boundaries. Furthermore, an instantaneous Manual Override mechanism guarantees a fail-safe state, ensuring the surgeon maintains ultimate veto authority over the system at all times. Conclusion: By combining adaptive machine learning capabilities with rigorous structural engineering principles, this framework achieves continuous closed-loop feedback that dynamically \"learns\" and adapts to the biological variations of the patient. This system transitions medical devices from passive monitors to proactive navigation assistants, establishing a new paradigm of personalized and ultra-safe intracranial regulation in modern neurosurgery. Keywords: Fluid-Structure Interaction (FSI), Digital Twin, Fiber Optic Sensing (FOS), Edge Computing, Closed-loop Control, Neurosurgery Safety.","url":"https://doi.org/10.5281/zenodo.20371631","authors":["Pham, Minh Phuong"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20371631","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20419061","name":"Panthera leo (Linnaeus, 1758) - Raw - Aldrovandi Digital Twin","source":"datacite","abstract":"Raw acquisition data of \"Panthera leo (Linnaeus, 1758)\" from the Aldrovandi Digital Twin. The original object is held by Sistema Museale di Ateneo di Bologna (Ozzano dell'Emilia). This dataset contains the raw material generated during the acquisition phase. Includes metadata (meta.ttl) and provenance (prov.trig) files following the CHAD-AP ontology.","url":"https://doi.org/10.5281/zenodo.20419061","authors":["Sullini, Mattia","Massari, Arcangelo","Moretti, Arianna","Barzaghi, Sebastian"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20419061","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20419062","name":"Panthera leo (Linnaeus, 1758) - Raw - Aldrovandi Digital Twin","source":"datacite","abstract":"Raw acquisition data of \"Panthera leo (Linnaeus, 1758)\" from the Aldrovandi Digital Twin. The original object is held by Sistema Museale di Ateneo di Bologna (Ozzano dell'Emilia). This dataset contains the raw material generated during the acquisition phase. Includes metadata (meta.ttl) and provenance (prov.trig) files following the CHAD-AP ontology.","url":"https://doi.org/10.5281/zenodo.20419062","authors":["Sullini, Mattia","Massari, Arcangelo","Moretti, Arianna","Barzaghi, Sebastian"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20419062","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21433408","name":"Unified Action for the UAT/UCP Framework: S_total = S_bulk + S_boundary + S_coherence — Complete Derivation of the Causal Membrane Mass, the QCD Confinement Scale, and New Physics Predictions at 1.71 TeV and 682 TeV","source":"datacite","abstract":"TECHNICAL REPORT — ZENODO DEPOSITAuthor: Miguel Ángel PercudaniORCID: 0009-0007-1748-3212 ══════════════════════════════════════════════════════════════════SUMMARY══════════════════════════════════════════════════════════════════ We present the complete unified action for the Unified Applicable Time (UAT) and Unified Causal Principle (UCP) framework. The total action S_total = S_bulk + S_boundary + S_coherence unifies three previously independent formulations into a single mathematical structure with exactly ONE free parameter — the 7% thermal calibration margin. Every constant used in this work is explicitly defined, numerically stated, and referenced to its origin in the UAT/UCP literature or in established physical measurements. No quantity is taken for granted. ══════════════════════════════════════════════════════════════════THE THREE SECTORS══════════════════════════════════════════════════════════════════ ★ S_bulk — UAT Lagrangian (DERIVED): Scalar-tensor theory with non-minimal coupling ξ = -0.2810. Generates k_early = 0.967 and the modified Friedmann expansion. Predicts Ω_m = 0.3133 (0.55% agreement with Planck), Λ = 2.49×10⁻¹²² M_Pl⁴ (0.92% agreement), and t₀ = 12.90 Gyr. ★ S_boundary — Causal Membrane Mass (FORMALIZED): The Gibbons-Hawking-York surface term evaluated over the topologically truncated 8-phase cycle (348.12° instead of 360°). The scalar field collapses onto the dominant eigenstate of the 4×4 coherence matrix (the golden ratio φ), degraded by 7% thermal noise. Result: M_p = M_b × κ_crit × φ × (1 - 0.07) = M_b × 7.49 Explains Ω_m^(eff) = Ω_b × 7.49 = 0.3133 from first principles. THIS IS NOT A PHENOMENOLOGICAL ANSATZ — it emerges rigorously from the boundary term of the gravitational action. ★ S_coherence — Causal Mass Gap (FORMALIZED): The Wilson coefficients c_n = κ_crit^(1/n) × 2R_geom couple the UAT scalar field to Standard Model operators. The geometric projection factor 2R_geom = 0.558364 converts pure resonances into observable masses. Predictions (ZERO free parameters beyond 7%): • n=4: M_obs = 215.6 MeV — matches Λ_QCD ≈ 217 MeV (0.65% agreement) • n=5: M_obs = 1.71 TeV — NEW PHYSICS at the LHC (falsifiable) • n=6: M_obs = 682 TeV — NEUTRINO SEESAW SCALE (IceCube-Gen2 testable) ══════════════════════════════════════════════════════════════════KEY FEATURES══════════════════════════════════════════════════════════════════ • All constants explicitly defined in Tables 1-2 with values, units, and references• 8-phase coherence matrix constructed and diagonalized• GHY boundary term adapted to truncated 8-phase geometry• Geometric projection factor 2R_geom derived from interference residue• Complete numerical verification via accompanying Python script• Three falsifiable predictions with zero additional free parameters• Corrections to previous Causal Mass Gap predictions (pure resonances → observable masses) ══════════════════════════════════════════════════════════════════CONTENTS══════════════════════════════════════════════════════════════════ • LaTeX manuscript (unified_action_UAT_UCP.tex)• Python verification script (verify_unified_action.py) - Runs in any Colab environment - Requires only NumPy and SciPy - Does not depend on the UAT/UCP digital twin ══════════════════════════════════════════════════════════════════REFERENCES══════════════════════════════════════════════════════════════════ UAT Framework: DOI: 10.5281/zenodo.17729221UCP Framework: DOI: 10.5281/zenodo.18210808UAT Lagrangian: DOI: 10.5281/zenodo.20500431Λ Resolution: DOI: 10.5281/zenodo.21109424Ω_m Relation: DOI: 10.5281/zenodo.213281877% Thermal Margin: DOI: 10.5281/zenodo.21211964Identity η ≡ κ_crit: Zenodo (2026)Age of the Universe: Zenodo (2026)Causal Mass Gap: Zenodo (2026)Membrane Dynamics: Zenodo (2026)Gibbons-Hawking (GHY): Phys. Rev. D 15, 2752 (1977)York (boundary term): Phys. Rev. Lett. 28, 1082 (1972) ══════════════════════════════════════════════════════════════════LICENSE═════════════════════════════════════════════════","url":"https://doi.org/10.5281/zenodo.21433408","authors":["Percudani, Miguel"],"tags":["Hubble Tension, Cosmology, BAO, Comoving Distance, UAT Framework, Quantum Gravity, Python Simulation.","astrofisica","fisica de particulas","UAT","TAU","ondas gravitacionales"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21433408","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21861759","name":"Intelligent Cell-Level Energy Optimization for Electric Vehicles Using Adaptive Multi-Physics Algorithms","source":"datacite","abstract":"Electric-vehicle efficiency is commonly improved through separate advances in battery management, thermal control, powertrain control, route planning and aerodynamic design. This separation limits the ability of the vehicle controller to exploit interactions among cell heterogeneity, temperature, environmental conditions, speed-dependent aerodynamic resistance, road grade, auxiliary loads and long-term degradation. This paper proposes an Intelligent Cell-Level Energy Optimization (ICLEO) framework that integrates electrochemical, electrical, thermal, fluid-dynamic and vehicle longitudinal models within a constrained predictive decision architecture. The framework does not redefine individual cells as independently switchable energy sources; instead, it coordinates feasible cell-balancing currents, module-level power limits, coolant and fan actuation, regenerative-braking limits, torque requests and auxiliary scheduling while respecting pack topology and safety constraints. A cell-resolved digital twin estimates state of charge, state of health, state of power, temperature, impedance and uncertainty. Physics-informed machine learning represents residual dynamics, whereas model predictive control performs receding-horizon optimization of traction energy, thermal parasitic demand, imbalance, degradation and comfort-related penalties. Aerodynamic drag is predicted from vehicle speed, air density, wind and yaw effects, and is coupled to route and weather forecasts. The article develops the governing equations, optimization problem, safety architecture and verification strategy, and presents an explicitly illustrative—not experimentally validated—benchmark design for future MATLAB/Simulink, CFD and hardware-in-the-loop studies. The principal contribution is a technically feasible multi-physics coordination layer that transforms conventional monitoring-oriented battery management into predictive, cell-aware and degradation-conscious energy management. The literature base is restricted to publications available up to and including 2024 and is cited using the Harvard author-date system.Keywords: electric vehicles; battery management system; cell balancing; multi-physics modelling; thermal management; computational fluid dynamics; model predictive control; physics-informed machine learning; digital twin; energy optimisation","url":"https://doi.org/10.5281/zenodo.21861759","authors":["Karabag, Emrah Ekrem"],"tags":["Electric battery","AI"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.21861759","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21861760","name":"Intelligent Cell-Level Energy Optimization for Electric Vehicles Using Adaptive Multi-Physics Algorithms","source":"datacite","abstract":"Electric-vehicle efficiency is commonly improved through separate advances in battery management, thermal control, powertrain control, route planning and aerodynamic design. This separation limits the ability of the vehicle controller to exploit interactions among cell heterogeneity, temperature, environmental conditions, speed-dependent aerodynamic resistance, road grade, auxiliary loads and long-term degradation. This paper proposes an Intelligent Cell-Level Energy Optimization (ICLEO) framework that integrates electrochemical, electrical, thermal, fluid-dynamic and vehicle longitudinal models within a constrained predictive decision architecture. The framework does not redefine individual cells as independently switchable energy sources; instead, it coordinates feasible cell-balancing currents, module-level power limits, coolant and fan actuation, regenerative-braking limits, torque requests and auxiliary scheduling while respecting pack topology and safety constraints. A cell-resolved digital twin estimates state of charge, state of health, state of power, temperature, impedance and uncertainty. Physics-informed machine learning represents residual dynamics, whereas model predictive control performs receding-horizon optimization of traction energy, thermal parasitic demand, imbalance, degradation and comfort-related penalties. Aerodynamic drag is predicted from vehicle speed, air density, wind and yaw effects, and is coupled to route and weather forecasts. The article develops the governing equations, optimization problem, safety architecture and verification strategy, and presents an explicitly illustrative—not experimentally validated—benchmark design for future MATLAB/Simulink, CFD and hardware-in-the-loop studies. The principal contribution is a technically feasible multi-physics coordination layer that transforms conventional monitoring-oriented battery management into predictive, cell-aware and degradation-conscious energy management. The literature base is restricted to publications available up to and including 2024 and is cited using the Harvard author-date system.Keywords: electric vehicles; battery management system; cell balancing; multi-physics modelling; thermal management; computational fluid dynamics; model predictive control; physics-informed machine learning; digital twin; energy optimisation","url":"https://doi.org/10.5281/zenodo.21861760","authors":["Karabag, Emrah Ekrem"],"tags":["Electric battery","AI"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.21861760","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21104157","name":"Secure Digital Twin Data Streaming for Real-Time Analytics Pipelines","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21104157","authors":["Safa Mostafa , Safa Mohamed ,  Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21104157","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21104158","name":"Secure Digital Twin Data Streaming for Real-Time Analytics Pipelines","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21104158","authors":["Safa Mostafa , Safa Mohamed ,  Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21104158","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20793521","name":"AI-Powered Risk Scoring for Digital Twin Asset Prioritization","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20793521","authors":["Safa Mohamed , Safa Kamal , Safa Mostafa"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20793521","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20793522","name":"AI-Powered Risk Scoring for Digital Twin Asset Prioritization","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20793522","authors":["Safa Mohamed , Safa Kamal , Safa Mostafa"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20793522","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20066619","name":"Securing Containerized and Microservice Architectures","source":"datacite","abstract":"This article presents a comprehensive examination of securing containerized and microservice architectures, addressing the critical challenges and opportunities at the intersection of cybersecurity, advanced system architecture, and artificial intelligence. The study synthesizes insights from 21 peer-reviewed references spanning digital twin security, adaptive defense frameworks, deep learning-based anomaly detection, cloud-IoT security management, encrypted search optimization, 5G network security, massive MIMO signal processing, privacy-preserving architectures, and generative model applications. Each reference is individually cited and contextualized within the broader discourse on container isolation, image scanning, runtime protection, and service mesh security. The article examines how these diverse research contributions collectively inform the design, implementation, and evaluation of robust solutions for contemporary security and architectural challenges. By integrating technical analyses with organizational and practical considerations, this work provides a holistic perspective that is relevant to both researchers and practitioners working to advance the state of the art in cybersecurity.","url":"https://doi.org/10.5281/zenodo.20066619","authors":["Safa mohamed","Safa Kamal","Safa Mostafa"],"tags":["Machine learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20066619","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20066620","name":"Securing Containerized and Microservice Architectures","source":"datacite","abstract":"This article presents a comprehensive examination of securing containerized and microservice architectures, addressing the critical challenges and opportunities at the intersection of cybersecurity, advanced system architecture, and artificial intelligence. The study synthesizes insights from 21 peer-reviewed references spanning digital twin security, adaptive defense frameworks, deep learning-based anomaly detection, cloud-IoT security management, encrypted search optimization, 5G network security, massive MIMO signal processing, privacy-preserving architectures, and generative model applications. Each reference is individually cited and contextualized within the broader discourse on container isolation, image scanning, runtime protection, and service mesh security. The article examines how these diverse research contributions collectively inform the design, implementation, and evaluation of robust solutions for contemporary security and architectural challenges. By integrating technical analyses with organizational and practical considerations, this work provides a holistic perspective that is relevant to both researchers and practitioners working to advance the state of the art in cybersecurity.","url":"https://doi.org/10.5281/zenodo.20066620","authors":["Safa mohamed","Safa Kamal","Safa Mostafa"],"tags":["Machine learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20066620","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22105843","name":"Optimizing Medical Inventory Management Through Predictive Analytics: Implications for Healthcare Quality, Cost Reduction, and Patient Safety; A Narrative Review","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22105843","authors":["Umeh princess frank"],"tags":["predictive analytics; healthcare supply chain; medical inventory management; machine learning; patient safety; cost reduction; healthcare quality; digital twin; Internet of Medical Things."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22105843","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22105842","name":"Optimizing Medical Inventory Management Through Predictive Analytics: Implications for Healthcare Quality, Cost Reduction, and Patient Safety; A Narrative Review","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.22105842","authors":["Umeh princess frank"],"tags":["predictive analytics; healthcare supply chain; medical inventory management; machine learning; patient safety; cost reduction; healthcare quality; digital twin; Internet of Medical Things."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22105842","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20809146","name":"Privacy-Preserving Digital Twin Data Sharing Using Federated Architectures","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20809146","authors":["Safa Mohamed , Sarah Ali"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20809146","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20809147","name":"Privacy-Preserving Digital Twin Data Sharing Using Federated Architectures","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20809147","authors":["Safa Mohamed , Sarah Ali"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20809147","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21066802","name":"Digital Twin Continuity Planning for Cyber Resilience in Manufacturing","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21066802","authors":["Safa Mostafa , Safa Mohamed , Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21066802","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21066803","name":"Digital Twin Continuity Planning for Cyber Resilience in Manufacturing","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21066803","authors":["Safa Mostafa , Safa Mohamed , Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21066803","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20997143","name":"Digital Twin Access Control Models for Multi-Tenant Cloud Environments","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20997143","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20997143","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20997144","name":"Digital Twin Access Control Models for Multi-Tenant Cloud Environments","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20997144","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20997144","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20739300","name":"Intrinsic Seebeck Feedback for Thermoelectric Temperature Regulation Using a Peltier Module.","source":"datacite","abstract":"Thermoelectric modules provide compact and solid-state thermal regulation capabilities; however, accurate temperature control commonly relies on external sensing elements, which increase system complexity and become impractical in spatially constrained or embedded applications. Although self-sensing approaches based on the Seebeck effect have emerged as an attractive alternative, reliable simultaneous sensing and actuation remain challenging because the driving voltage applied during thermoelectric operation masks the comparatively weak sensing signal. Furthermore, nonlinear thermal dynamics arising from Joule heating, heat conduction, and thermal saturation complicate state estimation under transient operating conditions. To address these limitations, this work proposes an observer-assisted thermoelectric framework integrating time-multiplexed self-sensing with physics-informed digital twin estimation for continuous thermal-state reconstruction and cold-side temperature regulation. The proposed method alternates between actuation and sensing phases, allowing Seebeck measurements to be acquired during non-actuated intervals, while a predictive thermal model reconstructs system behavior during periods in which direct observations are unavailable. An embedded implementation based on a microcontroller platform was developed and experimentally evaluated under multiple operating conditions and duty-cycle inputs. Experimental results demonstrated characteristic nonlinear thermoelectric behavior, including thermal saturation effects and variations in Seebeck sensitivity across operating regions. The findings indicate that Seebeck measurements provide meaningful thermal-state information at moderate and high temperature gradients, whereas reduced signal amplitude at lower duty cycles limits direct sensing reliability. The integrated digital twin and observer framework maintained continuous state awareness despite intermittent sensing availability and enabled improved interpretation of thermoelectric dynamics. The proposed approach establishes a practical pathway toward self-observable thermoelectric systems and demonstrates the potential for transforming thermoelectric devices from passive cooling components into intelligent cyber–physical elements capable of supporting predictive monitoring and advanced thermal regulation.","url":"https://doi.org/10.5281/zenodo.20739300","authors":["Chancharoen, Ratchatin"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20739300","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20739301","name":"Intrinsic Seebeck Feedback for Thermoelectric Temperature Regulation Using a Peltier Module.","source":"datacite","abstract":"Thermoelectric modules provide compact and solid-state thermal regulation capabilities; however, accurate temperature control commonly relies on external sensing elements, which increase system complexity and become impractical in spatially constrained or embedded applications. Although self-sensing approaches based on the Seebeck effect have emerged as an attractive alternative, reliable simultaneous sensing and actuation remain challenging because the driving voltage applied during thermoelectric operation masks the comparatively weak sensing signal. Furthermore, nonlinear thermal dynamics arising from Joule heating, heat conduction, and thermal saturation complicate state estimation under transient operating conditions. To address these limitations, this work proposes an observer-assisted thermoelectric framework integrating time-multiplexed self-sensing with physics-informed digital twin estimation for continuous thermal-state reconstruction and cold-side temperature regulation. The proposed method alternates between actuation and sensing phases, allowing Seebeck measurements to be acquired during non-actuated intervals, while a predictive thermal model reconstructs system behavior during periods in which direct observations are unavailable. An embedded implementation based on a microcontroller platform was developed and experimentally evaluated under multiple operating conditions and duty-cycle inputs. Experimental results demonstrated characteristic nonlinear thermoelectric behavior, including thermal saturation effects and variations in Seebeck sensitivity across operating regions. The findings indicate that Seebeck measurements provide meaningful thermal-state information at moderate and high temperature gradients, whereas reduced signal amplitude at lower duty cycles limits direct sensing reliability. The integrated digital twin and observer framework maintained continuous state awareness despite intermittent sensing availability and enabled improved interpretation of thermoelectric dynamics. The proposed approach establishes a practical pathway toward self-observable thermoelectric systems and demonstrates the potential for transforming thermoelectric devices from passive cooling components into intelligent cyber–physical elements capable of supporting predictive monitoring and advanced thermal regulation.","url":"https://doi.org/10.5281/zenodo.20739301","authors":["Chancharoen, Ratchatin"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20739301","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20687387","name":"BDPD — Be Different Play Differential (computational laboratory, simulation platform, and card game)","source":"datacite","abstract":"BDPD (Be Different Play Differential) is an open-source computational laboratory for the study of common-pool resource dilemmas, governance, Seneca-type collapse dynamics, and the role of heterogeneous generative agents. This deposit archives the source code at tag v1.1.1 as a self-contained snapshot, intended for permanent citation and reproducibility of the four-paper BDPD research series, the ten-lecture mini-course, the research notes, the annotated bibliography, and the fifteen-slide overview pitch — all of which are deposited as siblings on Zenodo and linked back to this software record. Components: a Node.js multi-agent simulation engine (the BDPD Arena) with a polycentric World layer for cross-arena treaties and meta-agent governance, three swappable physics engines (logistic, ladder-perturbation, Bardi/Seneca three-variable ODE); Python heuristic and LLM agents on a uniform message bus; The Forest of Humbaba, a physical card game and its AI-playable digital twin; an experiment runner with sweep, perturbation, and OFAT-robustness pipelines; an annotated documentation site (bdpd.gitlab.io/bdpd); and the rendered PDFs of every BDPD deliverable for offline review. The source repository lives at gitlab.com/bdpd/bdpd. Reproducibility instructions: see docs/experiments/reproduce.md in the archive. Substrate-engine determinism is guaranteed for heuristic players; LLM players require external API keys (deposit ships scripts but not credentials).","url":"https://doi.org/10.5281/zenodo.20687387","authors":["Brunelli, Roberto"],"tags":["tragedy of the commons","common-pool resources","agent-based modelling","Ostrom design principles","LLM agents","generative agents","social-ecological systems","BDPD"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20687387","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21023682","name":"BDPD — Be Different Play Differential (computational laboratory, simulation platform, and card game)","source":"datacite","abstract":"BDPD (Be Different Play Differential) is an open-source computational laboratory for the study of common-pool resource dilemmas, governance, Seneca-type collapse dynamics, and the role of heterogeneous generative agents. This deposit archives the source code at tag v1.1.1 as a self-contained snapshot, intended for permanent citation and reproducibility of the four-paper BDPD research series, the ten-lecture mini-course, the research notes, the annotated bibliography, and the fifteen-slide overview pitch — all of which are deposited as siblings on Zenodo and linked back to this software record. Components: a Node.js multi-agent simulation engine (the BDPD Arena) with a polycentric World layer for cross-arena treaties and meta-agent governance, three swappable physics engines (logistic, ladder-perturbation, Bardi/Seneca three-variable ODE); Python heuristic and LLM agents on a uniform message bus; The Forest of Humbaba, a physical card game and its AI-playable digital twin; an experiment runner with sweep, perturbation, and OFAT-robustness pipelines; an annotated documentation site (bdpd.gitlab.io/bdpd); and the rendered PDFs of every BDPD deliverable for offline review. The source repository lives at gitlab.com/bdpd/bdpd. Reproducibility instructions: see docs/experiments/reproduce.md in the archive. Substrate-engine determinism is guaranteed for heuristic players; LLM players require external API keys (deposit ships scripts but not credentials).","url":"https://doi.org/10.5281/zenodo.21023682","authors":["Brunelli, Roberto"],"tags":["tragedy of the commons","common-pool resources","agent-based modelling","Ostrom design principles","LLM agents","generative agents","social-ecological systems","BDPD"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21023682","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20687386","name":"BDPD — Be Different Play Differential (computational laboratory, simulation platform, and card game)","source":"datacite","abstract":"BDPD (Be Different Play Differential) is an open-source computational laboratory for the study of common-pool resource dilemmas, governance, Seneca-type collapse dynamics, and the role of heterogeneous generative agents. This deposit archives the source code at tag v1.1.1 as a self-contained snapshot, intended for permanent citation and reproducibility of the four-paper BDPD research series, the ten-lecture mini-course, the research notes, the annotated bibliography, and the fifteen-slide overview pitch — all of which are deposited as siblings on Zenodo and linked back to this software record. Components: a Node.js multi-agent simulation engine (the BDPD Arena) with a polycentric World layer for cross-arena treaties and meta-agent governance, three swappable physics engines (logistic, ladder-perturbation, Bardi/Seneca three-variable ODE); Python heuristic and LLM agents on a uniform message bus; The Forest of Humbaba, a physical card game and its AI-playable digital twin; an experiment runner with sweep, perturbation, and OFAT-robustness pipelines; an annotated documentation site (bdpd.gitlab.io/bdpd); and the rendered PDFs of every BDPD deliverable for offline review. The source repository lives at gitlab.com/bdpd/bdpd. Reproducibility instructions: see docs/experiments/reproduce.md in the archive. Substrate-engine determinism is guaranteed for heuristic players; LLM players require external API keys (deposit ships scripts but not credentials).","url":"https://doi.org/10.5281/zenodo.20687386","authors":["Brunelli, Roberto"],"tags":["tragedy of the commons","common-pool resources","agent-based modelling","Ostrom design principles","LLM agents","generative agents","social-ecological systems","BDPD"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20687386","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20816033","name":"BDPD — Be Different Play Differential (computational laboratory, simulation platform, and card game)","source":"datacite","abstract":"BDPD (Be Different Play Differential) is an open-source computational laboratory for the study of common-pool resource dilemmas, governance, Seneca-type collapse dynamics, and the role of heterogeneous generative agents. This deposit archives the source code at tag v1.1.1 as a self-contained snapshot, intended for permanent citation and reproducibility of the four-paper BDPD research series, the ten-lecture mini-course, the research notes, the annotated bibliography, and the fifteen-slide overview pitch — all of which are deposited as siblings on Zenodo and linked back to this software record. Components: a Node.js multi-agent simulation engine (the BDPD Arena) with a polycentric World layer for cross-arena treaties and meta-agent governance, three swappable physics engines (logistic, ladder-perturbation, Bardi/Seneca three-variable ODE); Python heuristic and LLM agents on a uniform message bus; The Forest of Humbaba, a physical card game and its AI-playable digital twin; an experiment runner with sweep, perturbation, and OFAT-robustness pipelines; an annotated documentation site (bdpd.gitlab.io/bdpd); and the rendered PDFs of every BDPD deliverable for offline review. The source repository lives at gitlab.com/bdpd/bdpd. Reproducibility instructions: see docs/experiments/reproduce.md in the archive. Substrate-engine determinism is guaranteed for heuristic players; LLM players require external API keys (deposit ships scripts but not credentials).","url":"https://doi.org/10.5281/zenodo.20816033","authors":["Brunelli, Roberto"],"tags":["tragedy of the commons","common-pool resources","agent-based modelling","Ostrom design principles","LLM agents","generative agents","social-ecological systems","BDPD"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20816033","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21862953","name":"Coping Equilibrium and Stability Margins: A Predictive Stability Control Architecture for Critical Biological Systems Demonstrated in Hantavirus Pulmonary Syndrome (HPS)","source":"datacite","abstract":"Abstract Critical biological diseases frequently exhibit abrupt transitions from compensated physiological states to irreversible systemic collapse. Despite substantial advances in intensive care medicine, current clinical decision-making remains predominantly reactive, relying on threshold-based interpretation of isolated physiological variables after significant deterioration has already occurred. Consequently, many catastrophic clinical events are detected only after the underlying biological system has crossed a critical stability boundary. This work introduces the Ruin Horizon Framework (RHF), a conceptual systems-theoretic architecture designed to characterize complex biological diseases as nonlinear adaptive networks approaching critical state transitions. Rather than interpreting disease progression as a sequence of independent pathological events, RHF models host physiology as a dynamically coupled regulatory system possessing finite resilience, adaptive capacity, and stability margins. The central hypothesis of RHF is that the primary organizing principle of complex adaptive biological systems is not continuous optimization, but the maintenance of sufficient distance from a dynamically evolving Ruin Horizon. RHF defines the resulting adaptive operating regime as Coping Equilibrium, in which regulatory resources are dynamically redistributed to preserve an adequate Stability Margin. The framework proposes that catastrophic deterioration emerges when adaptive regulation progressively loses the ability to compensate for accumulating physiological stress, ultimately driving the system toward a critical boundary referred to as the Ruin Horizon. In contrast to conventional biomarker-centered monitoring, RHF evaluates disease evolution through continuous estimation of system-wide stability, resilience, and network coordination. To demonstrate the conceptual applicability of the framework, Hantavirus Pulmonary Syndrome (HPS) is presented as a representative example of a rapidly destabilizing biological system characterized by endothelial dysfunction, capillary leak syndrome, respiratory failure, and nonlinear host-pathogen interactions. Within this context, RHF introduces the concept of Dual-Horizon Dynamics, describing the simultaneous interaction between viral expansion and host physiological resilience. The proposed framework integrates concepts from nonlinear dynamics, network physiology, critical slowing down, resilience theory, and predictive systems control into a unified supervisory architecture intended to support anticipatory clinical decision-making. Importantly, the present manuscript does not disclose the proprietary mathematical implementation underlying RHF. Instead, it presents a secrecy-safe conceptual abstraction intended to stimulate scientific discussion and guide future experimental validation. If validated prospectively, RHF may provide a generalizable systems-level foundation for predictive stability monitoring across a broad spectrum of rapidly deteriorating critical illnesses.","url":"https://doi.org/10.5281/zenodo.21862953","authors":["Olgyay-Szabó, Attila"],"tags":["Ruin Horizont Farmwork","Hantavirus Pulmonary Syndrome (HPS)","Deterministic control","Dual Horizont","Digital Twin","Allostasis/physiology","allostasis","host patogen dynamics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21862953","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.21862954","name":"Coping Equilibrium and Stability Margins: A Predictive Stability Control Architecture for Critical Biological Systems Demonstrated in Hantavirus Pulmonary Syndrome (HPS)","source":"datacite","abstract":"Abstract Critical biological diseases frequently exhibit abrupt transitions from compensated physiological states to irreversible systemic collapse. Despite substantial advances in intensive care medicine, current clinical decision-making remains predominantly reactive, relying on threshold-based interpretation of isolated physiological variables after significant deterioration has already occurred. Consequently, many catastrophic clinical events are detected only after the underlying biological system has crossed a critical stability boundary. This work introduces the Ruin Horizon Framework (RHF), a conceptual systems-theoretic architecture designed to characterize complex biological diseases as nonlinear adaptive networks approaching critical state transitions. Rather than interpreting disease progression as a sequence of independent pathological events, RHF models host physiology as a dynamically coupled regulatory system possessing finite resilience, adaptive capacity, and stability margins. The central hypothesis of RHF is that the primary organizing principle of complex adaptive biological systems is not continuous optimization, but the maintenance of sufficient distance from a dynamically evolving Ruin Horizon. RHF defines the resulting adaptive operating regime as Coping Equilibrium, in which regulatory resources are dynamically redistributed to preserve an adequate Stability Margin. The framework proposes that catastrophic deterioration emerges when adaptive regulation progressively loses the ability to compensate for accumulating physiological stress, ultimately driving the system toward a critical boundary referred to as the Ruin Horizon. In contrast to conventional biomarker-centered monitoring, RHF evaluates disease evolution through continuous estimation of system-wide stability, resilience, and network coordination. To demonstrate the conceptual applicability of the framework, Hantavirus Pulmonary Syndrome (HPS) is presented as a representative example of a rapidly destabilizing biological system characterized by endothelial dysfunction, capillary leak syndrome, respiratory failure, and nonlinear host-pathogen interactions. Within this context, RHF introduces the concept of Dual-Horizon Dynamics, describing the simultaneous interaction between viral expansion and host physiological resilience. The proposed framework integrates concepts from nonlinear dynamics, network physiology, critical slowing down, resilience theory, and predictive systems control into a unified supervisory architecture intended to support anticipatory clinical decision-making. Importantly, the present manuscript does not disclose the proprietary mathematical implementation underlying RHF. Instead, it presents a secrecy-safe conceptual abstraction intended to stimulate scientific discussion and guide future experimental validation. If validated prospectively, RHF may provide a generalizable systems-level foundation for predictive stability monitoring across a broad spectrum of rapidly deteriorating critical illnesses.","url":"https://doi.org/10.5281/zenodo.21862954","authors":["Olgyay-Szabó, Attila"],"tags":["Ruin Horizont Farmwork","Hantavirus Pulmonary Syndrome (HPS)","Deterministic control","Dual Horizont","Digital Twin","Allostasis/physiology","allostasis","host patogen dynamics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21862954","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.18720/spbpu/3/2026/vr/vr26-4331","name":"Информационная модель здания утраченного газового завода для задач техногенной безопасности","source":"datacite","abstract":"Целью диссертационного исследования является разработка алгоритма и обоснование применения технологий информационного моделирования зданий (BIM) при редевелопменте утраченных промышленных объектов с целью обеспечения комплексного выполнения историко-культурных и инженерных задач. Решаемые в ходе исследования задачи: 1. Провести исторические изыскания территории расположения объекта исследования, а также уточнить существующие данные об объекте исследования; 2. Проанализировать отечественный и мировой опыт ревитализация промышленных объектов, в том числе газовых заводов и газгольдеров; 3. Создать цифровой двойник газового завода с применением современных технологий проектирования зданий и сооружений, а также интегрировать инструменты искусственного интеллекта; 4. Сформировать алгоритм работы с утраченными промышленными объектами при редевелопменте территории; 5. Определить возможность применение полученной модели для инженерных задач обеспечения техногенной безопасности и задач социального характера. В ходе выполнения выпускной квалификационной работы выполнены исследования и анализ современного состояния промышленных территорий в г. Санкт‑Петербурге, систематизированы данные по объекту исследования и истории газовой промышленности, а также проведен сравнительный анализ отечественного и зарубежного опыта перепрофилирования бывших промышленных зон. На основе имеющихся исторических данных восстановлена детализированная цифровая модель утраченного газового завода и газгольдера на территории современного СПбПУ. Сформирован алгоритм работы с утраченными промышленными объектами при редевелопменте территорий. Показана практическая необходимость применения цифровых моделей утраченных объектов, а также сформулированы возможные направления их использования для решения инженерно‑технических задач обеспечения техногенной безопасности и социальных задач редевелопмента.","url":"https://doi.org/10.18720/spbpu/3/2026/vr/vr26-4331","authors":["Тростинский, Андрей Дмитриевич"],"tags":["BIM-моделирование","цифровой двойник","техногенная безопасность","промышленные здания","газовый завод","редевелопмент","утраченный объект","BIM-modeling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.18720/spbpu/3/2026/vr/vr26-4331","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.48550/arxiv.2608.20539","name":"ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations","source":"datacite","abstract":"Digital twin simulations show promise, but current empirical evidence suggests that the approach should be tested before being deployed in any particular context. To lower the friction for researchers and practitioners to test and deploy digital twin simulations, this brief commentary introduces ExploraTwin (https://exploratwin.org), an open-access, non-profit research platform for digital twin survey simulations. ExploraTwin supports two modes. In survey mode, researchers can upload a Qualtrics survey file or create a survey within the platform; select an available sample of digital twins; configure and run the simulation, and export analysis-ready data. In panel mode, researchers can assemble a small group of twins for open-ended conversations, document annotation, and moderated, focus-group-style voice discussions. We also developed CroissantTwin, a standardized data format for adding samples of digital twins to the platform. We demonstrate the survey mode workflow by using the platform to replicate 19 experiments on digital twins from the Twin-2K-500 dataset. ExploraTwin's survey execution fidelity is high: 99.6% of 197,000 answer units returned a structurally valid response on the first run.","url":"https://doi.org/10.48550/arxiv.2608.20539","authors":["Venkat, Naveen","Qiu, Yuchen","Peng, Tianyi","Gui, George","Toubia, Olivier"],"tags":["Computers and Society (cs.CY)","Artificial Intelligence (cs.AI)","Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.20539","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.48550/arxiv.2605.17426","name":"Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation","source":"datacite","abstract":"We propose a framework for predicting the effects of mobility introduction measures using a human-flow digital twin. This digital twin incorporates a multi-agent simulator that can represent how visitors choose destinations depending on factors such as their current location and the attractiveness of spots. We extract data on how visitors selected destinations with respect to measured pre-intervention human-flow data, inter-spot distances, spot attractiveness, and travel volumes, and use these data to train each agent's decision model of this simulator. The trained decision model is a function that takes a visitor's current state and surrounding environmental information as input and outputs which spot the visitor will move toward next. By expressing mobility introduction measures as changes to inter-point distances or to spot attractiveness, the framework can reproduce human flows with mobility introduction in the multi-agent simulator and thereby quantify effects such as changes in visitor counts and circulation. We evaluated the proposed method using human-flow data measured with and without introducing mobility within Wakayama Castle Park in Japan. When reproducing flows with mobility introduction using a multi-layer perceptron decision model, the cosine similarity of the spatial population distribution exceeded 0.7, confirming that the approach can replicate the flow changes caused by the mobility introduction.","url":"https://doi.org/10.48550/arxiv.2605.17426","authors":["Shima, Chiharu","Yonekura, Haruki","Tanaka, Fukuharu","Amano, Tatsuya","Yamaguchi, Hirozumi"],"tags":["Multiagent Systems (cs.MA)","Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.17426","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.48550/arxiv.2605.05535","name":"Housing Potential Common Data Model and City Digital Twin","source":"datacite","abstract":"The evaluation of housing potential requires consideration of a location from multiple perspectives, ranging from zoning and land use to population characteristics and access to services. This research introduces the Housing Potential Common Data Model (HPCDM) to overcome existing data silos, serving as a standard to support integration and interoperability across the diverse range of datasets that are required for housing potential analysis. This report details the evaluation of the model along with the creation of a City Digital Twin for housing and a pilot dashboard application to demonstrate a practical implementation. Beyond the technical framework, this work identifies critical barriers to adoption and provides actionable mitigation strategies for urban planners and stakeholders.","url":"https://doi.org/10.48550/arxiv.2605.05535","authors":["Katsumi, Megan","Fox, Mark","Wong, Anderson","Chatha, Divnoor"],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","I.2.4"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.05535","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.48550/arxiv.2608.24833","name":"Real-time inverse solutions via neural matrix operators","source":"datacite","abstract":"Rapid data assimilation is required for real-time prediction and control in digital twins. For many physical systems, the data assimilation task requires the solution of a physics-constrained inverse problem, which is often computationally intractable in real time using traditional physics solvers. This work presents a reduced-basis neural operator approach to enable real-time inverse problem solutions in the digital twin setting. Our approach specifically targets the large class of problems with spatiotemporal dynamics governed by partial differential equations (PDEs) that are parameterized nonlinearly with respect to model parameters $m$, and linearly with respect to inversion parameters $q$. Based on this physical structure, our neural operator approximates the nonlinear map from the model parameters $m$ to the parameter-to-observable operator $\\mathcal{F}(m)$ in a reduced subspace. Since the output of the neural operator is the parameter-to-observable operator itself (manifested as a matrix), we refer to this approach as NEural Matrix Operator (NEMO). With NEMO, for new given $m$, we enable a closed-form inverse problem solution for $q$ in a reduced subspace. We apply NEMO in two real-world applications: contaminant transport initial condition identification, and hypersonic vehicle load identification. We show that NEMO delivers high quality inverse problem solutions for data assimilation in real time, with over three orders of magnitude speedup compared to constructing the reduced operator with the PDE solver. Further, NEMO demonstrates comparable inverse performance to a state-of-the-art multiple-input neural operator, while reducing online computational complexity by over an order of magnitude and providing real-time uncertainty quantification.","url":"https://doi.org/10.48550/arxiv.2608.24833","authors":["Pham, Julie","O'Leary-Roseberry, Thomas","Ghattas, Omar","Willcox, Karen"],"tags":["Numerical Analysis (math.NA)","FOS: Mathematics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.24833","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20076263","name":"Adaptive AI-Laser Plasma Control for Linear Fusion Reactors Toward Predictive Turbulence Stabilization Using Femtosecond Diagnostics and Real-Time Digital Twin Architectures","source":"datacite","abstract":"AbstractMagnetic mirror and linear fusion systems historically suffer from turbulence-driven con-finement degradation, including firehose, drift-cyclotron loss-cone (DCLC), mirror, and ion-cyclotron instabilities. Classical stabilization strategies relied primarily on passive magneticgeometry optimization and static confinement architectures.This work proposes a radically different paradigm: active metastability through ultrafastobservation and predictive control.We introduce a conceptual architecture combining:• femtosecond laser plasma diagnostics,• AI-driven turbulence prediction,• reduced-order generative plasma simulation,• adaptive magnetic feedback control,• real-time plasma digital twins.Instead of attempting to eliminate turbulence entirely, the system aims to maintain theplasma inside dynamically controlled metastable attractors.The proposed framework couples kinetic plasma theory, Lyapunov adaptive control,machine-learning surrogate models, and ultrafast spectroscopy into a unified closed-loopstabilization architecture potentially applicable to:• linear magnetic mirrors,• tandem mirrors,• plasma propulsion systems,• advanced open-ended fusion devices.We discuss physical limitations, latency constraints, instability forecasting, and futureexperimental pathways.","url":"https://doi.org/10.5281/zenodo.20076263","authors":["Lozac'h, Jean-yves"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20076263","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20076264","name":"Adaptive AI-Laser Plasma Control for Linear Fusion Reactors Toward Predictive Turbulence Stabilization Using Femtosecond Diagnostics and Real-Time Digital Twin Architectures","source":"datacite","abstract":"AbstractMagnetic mirror and linear fusion systems historically suffer from turbulence-driven con-finement degradation, including firehose, drift-cyclotron loss-cone (DCLC), mirror, and ion-cyclotron instabilities. Classical stabilization strategies relied primarily on passive magneticgeometry optimization and static confinement architectures.This work proposes a radically different paradigm: active metastability through ultrafastobservation and predictive control.We introduce a conceptual architecture combining:• femtosecond laser plasma diagnostics,• AI-driven turbulence prediction,• reduced-order generative plasma simulation,• adaptive magnetic feedback control,• real-time plasma digital twins.Instead of attempting to eliminate turbulence entirely, the system aims to maintain theplasma inside dynamically controlled metastable attractors.The proposed framework couples kinetic plasma theory, Lyapunov adaptive control,machine-learning surrogate models, and ultrafast spectroscopy into a unified closed-loopstabilization architecture potentially applicable to:• linear magnetic mirrors,• tandem mirrors,• plasma propulsion systems,• advanced open-ended fusion devices.We discuss physical limitations, latency constraints, instability forecasting, and futureexperimental pathways.","url":"https://doi.org/10.5281/zenodo.20076264","authors":["Lozac'h, Jean-yves"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20076264","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.48550/arxiv.2608.24445","name":"Forward modelling coronagraphic images with a fully physical, differentiable digital twin of MagAO-X: first laboratory results","source":"datacite","abstract":"Post-processing of high contrast imaging data relies on an accurate model of the stellar point spread function (PSF). Current techniques build this model from the science images themselves, using observational diversity (e.g., angular, spectral or polarimetric diversity), which can cause self-subtraction of the companion signal and constrains the observing strategy. Telemetry-based forward modelling instead builds the stellar PSF model from wavefront sensor data that is already recorded during the observation. The wavefront sensor measures the coherent starlight and can therefore be used to create a PSF model that only models the stellar light and does not reproduce the incoherent light of a companion. We present a fully physical and differentiable digital twin of the focal plane low-order wavefront sensor (FLOWFS) and the coronagraphic science beam of the MagAO-X instrument, implemented in \\texttt{dLux}, and calibrate it on laboratory data. When fitted directly to the science images, the model reproduces the coronagraphic PSF down to the photon and read noise floor of the data. When instead forward modelled from the FLOWFS telemetry alone, the residuals reach $6\\times10^{-5}$ of the stellar peak at $5\\ λ/D$, a factor of 5 below the raw contrast, with the remaining residual set by how well the wavefront estimate transfers from the FLOWFS branch to the science branch of the model. An injected companion at $5\\ λ/D$ with a peak contrast of $10^{-3}$ is recovered without measurable self-subtraction. We discuss the model improvements currently under development and the path towards on-sky validation.","url":"https://doi.org/10.48550/arxiv.2608.24445","authors":["Mars, Matthijs","Haffert, Sebastiaan Y.","Desdoigts, Louis","Long, Joseph D.","Landman, Rico","Males, Jared R.","Close, Laird M.","Van Gorkom, Kyle","Guyon, Olivier","Hedglen, Alexander D.","Juillard, Sandrine","Lumbres, Jennifer","Schatz, Lauren"],"tags":["Instrumentation and Methods for Astrophysics (astro-ph.IM)","FOS: Physical sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.24445","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.16789481","name":"Conceptometry: Categorial Foundations and Formal Methodology for Measuring Conceptual Density in Semantic Systems","source":"datacite","abstract":"Abstract En This paper presents the formal foundations of Conceptometry, a novel computational disci-pline designed to systematically quantify conceptual density (DCp) and informative efficiency (EI)in natural language texts and formal strategic decisions. We propose a Category Theory frameworkwhere information extraction is modeled as a functor E : T → K mapping a syntactic category ofText/Moves to a weighted semantic manifold category. By integrating hierarchical ontology depths(Fd) and strategic abstraction factors (Fa), we introduce the Chess Conceptometer to evaluatedecision weights. Empirically validated on the historical 1997 Kasparov vs. Deep Blue match, ourmethodology mathematically highlights move 37. Be4 as an anomalous high-density strategic decision(DCp = 9.2), explaining the human champion’s psychological collapse through information-theoreticdensity. This framework establishes a rigorous, hardware-independent benchmark for strategic AGIevaluation. Abstract It Questo articolo presenta i fondamenti formali della Concettometria, una nuova disciplina com-putazionale progettata per quantificare sistematicamente la densità concettuale (DCp) e l’efficienzainformativa (EI) nei testi in linguaggio naturale e nelle decisioni strategiche formali. Proponiamoun framework basato sulla Teoria delle Categorie in cui l’estrazione dell’informazione è modellatacome un funtore E : T → K che mappa una categoria sintattica di Testo/Mosse in una categoria divarietà semantica pesata. Integrando la profondità ontologica gerarchica (Fd) e i fattori di astra-zione strategica (Fa), introduciamo il Chess Conceptometer per valutare il peso delle decisioni.Validata empiricamente sullo storico incontro del 1997 Kasparov vs. Deep Blue, la nostra metodologiaevidenzia matematicamente la mossa 37. Be4 come una decisione strategica ad alta densità anomala(DCp = 9.2), spiegando il collasso psicologico del campione umano attraverso la densità dell’infor-mazione. Questo framework stabilisce un benchmark rigoroso e indipendente dall’hardware per lavalutazione delle AGI. Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo: Confutazione del Modello Eziologico Classico e Dinamiche di Appropriazione Regale delle Acque nel Mediterraneo Arcaico. Il Caso dei Tirsenoi e del Fiume Tirso nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277461 5. Usai, L. (2026). LA LACONIA E LA SCIZIA IN GALLURA NEL PARADIGMA SARDO-CORSO-ATLANTIDEO (PSCA): PERSISTENZE TOPONOMASTICHE, GEOMITOLOGICHE ED ETNOGENESI DEI TIRSENOI DA EUFEMO A POLIFEMO. Zenodo. https://doi.org/10.5281/zenodo.20445954 6. Usai, L. (2026). La Connessione Scito-Gallurese nella Genesi Protovillanoviana: Un Modello di Archeologia Predittiva basato sul Paradigma Sardo-Corso-Atlantideo (PSCA) e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20447774 7. Usai, L. (2026). La potenza predittiva del PSCA di Usai: L'evoluzione semantica e semiotica gallurese da doppie volute scitiche di Usai al Giglio Toscano; sotto l'Echidna, a dimostrare origine scita Gallurese degli Etruschi. Zenodo. https://doi.org/10.5281/zenodo.20529923 8. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradi","url":"https://doi.org/10.5281/zenodo.16789481","authors":["Usai, Luigi"],"tags":["Concettometria","Conceptometry","Luigi Usai","Usai Luigi","NLP","Natural language processing","Natural Language Processing","Natural Language Processing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.16789481","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20775495","name":"Conceptometry: Categorial Foundations and Formal Methodology for Measuring Conceptual Density in Semantic Systems","source":"datacite","abstract":"Abstract En This paper presents the formal foundations of Conceptometry, a novel computational disci-pline designed to systematically quantify conceptual density (DCp) and informative efficiency (EI)in natural language texts and formal strategic decisions. We propose a Category Theory frameworkwhere information extraction is modeled as a functor E : T → K mapping a syntactic category ofText/Moves to a weighted semantic manifold category. By integrating hierarchical ontology depths(Fd) and strategic abstraction factors (Fa), we introduce the Chess Conceptometer to evaluatedecision weights. Empirically validated on the historical 1997 Kasparov vs. Deep Blue match, ourmethodology mathematically highlights move 37. Be4 as an anomalous high-density strategic decision(DCp = 9.2), explaining the human champion’s psychological collapse through information-theoreticdensity. This framework establishes a rigorous, hardware-independent benchmark for strategic AGIevaluation. Abstract It Questo articolo presenta i fondamenti formali della Concettometria, una nuova disciplina com-putazionale progettata per quantificare sistematicamente la densità concettuale (DCp) e l’efficienzainformativa (EI) nei testi in linguaggio naturale e nelle decisioni strategiche formali. Proponiamoun framework basato sulla Teoria delle Categorie in cui l’estrazione dell’informazione è modellatacome un funtore E : T → K che mappa una categoria sintattica di Testo/Mosse in una categoria divarietà semantica pesata. Integrando la profondità ontologica gerarchica (Fd) e i fattori di astra-zione strategica (Fa), introduciamo il Chess Conceptometer per valutare il peso delle decisioni.Validata empiricamente sullo storico incontro del 1997 Kasparov vs. Deep Blue, la nostra metodologiaevidenzia matematicamente la mossa 37. Be4 come una decisione strategica ad alta densità anomala(DCp = 9.2), spiegando il collasso psicologico del campione umano attraverso la densità dell’infor-mazione. Questo framework stabilisce un benchmark rigoroso e indipendente dall’hardware per lavalutazione delle AGI. Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo: Confutazione del Modello Eziologico Classico e Dinamiche di Appropriazione Regale delle Acque nel Mediterraneo Arcaico. Il Caso dei Tirsenoi e del Fiume Tirso nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277461 5. Usai, L. (2026). LA LACONIA E LA SCIZIA IN GALLURA NEL PARADIGMA SARDO-CORSO-ATLANTIDEO (PSCA): PERSISTENZE TOPONOMASTICHE, GEOMITOLOGICHE ED ETNOGENESI DEI TIRSENOI DA EUFEMO A POLIFEMO. Zenodo. https://doi.org/10.5281/zenodo.20445954 6. Usai, L. (2026). La Connessione Scito-Gallurese nella Genesi Protovillanoviana: Un Modello di Archeologia Predittiva basato sul Paradigma Sardo-Corso-Atlantideo (PSCA) e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20447774 7. Usai, L. (2026). La potenza predittiva del PSCA di Usai: L'evoluzione semantica e semiotica gallurese da doppie volute scitiche di Usai al Giglio Toscano; sotto l'Echidna, a dimostrare origine scita Gallurese degli Etruschi. Zenodo. https://doi.org/10.5281/zenodo.20529923 8. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradi","url":"https://doi.org/10.5281/zenodo.20775495","authors":["Usai, Luigi"],"tags":["Concettometria","Conceptometry","Luigi Usai","Usai Luigi","NLP","Natural language processing","Natural Language Processing","Natural Language Processing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20775495","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19654818","name":"UTDTB v5: Universal Turbofan Digital Twin Benchmark for Physics-Informed Prognostics","source":"datacite","abstract":"UTDTB v5.0 is a large-scale, physics-grounded benchmark designed to close the realism gap in turbofan prognostics. It simulates 1.1M+ flight cycles across a global fleet with explicit physical degradation, causal structure, and controllable distribution shift.","url":"https://doi.org/10.5281/zenodo.19654818","authors":["S, Guru Prasaath"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19654818","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.19654819","name":"UTDTB v5: Universal Turbofan Digital Twin Benchmark for Physics-Informed Prognostics","source":"datacite","abstract":"UTDTB v5.0 is a large-scale, physics-grounded benchmark designed to close the realism gap in turbofan prognostics. It simulates 1.1M+ flight cycles across a global fleet with explicit physical degradation, causal structure, and controllable distribution shift.","url":"https://doi.org/10.5281/zenodo.19654819","authors":["S, Guru Prasaath"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19654819","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.20586080","name":"EndoDecay-Sim: Mechanistic Digital Twin Platform for Stochastic Endothelial Degradation and Multimorbidity Modeling","source":"openalex","abstract":"# EndoDecay-Sim v9.0: Mechanistic Digital Twin for Stochastic Endothelial Degradation ### Release Notes and Academic Evaluation (v9.0-Optimized) This repository marks the transition of EndoDecay-Sim from a static cohort model (v7.1) into a high-performance, mechanistic digital twin platform (v9.0) designed to simulate long-term diabetic vascular decay under multi-systemic homeostatic stress. The algorithmic engine has been entirely re-engineered to operate at native C-speed using optimized NumPy vectorized broadcasting, scaling computational performance to O(M) time complexity over a 10,000-patient synthetic cohort. #### Key Architectural Paradigms in v9.0: 1. **Stochastic Differential Equation (SDE) Solver:** Transitioned from deterministic ODE kinetics to an advanced Euler-Maruyama SDE integration scheme (dt = 0.05). The core equation incorporates real-time cellular intrinsic noise (Wiener Process, dW_t) mapped against a non-linear Gompertz drift vector, satisfying the strict Ito predictability standard. 2. **Self-Healing Spectral Clipping Matrix:** Resolves multi-variable correlation instabilities programmatically. The input multi-variate normal latent variables are validated via an automated spectral decomposition and clipping protocol (np.linalg.eigh), forcing negative eigenvalues to a positive-definite threshold (1e-6) and eliminating covariance runtime anomalies. 3. **Clinical Long-Tail Realism (Copula-Like Transformations):** Replaced arbitrary data clipping with non-linear exponential transformations to mirror epidemiological realities. The synthetic cohort preserves high-risk clinical extremes, exhibiting realistic left-skewed eGFR distributions (capturing End-Stage Renal Disease/Dialysis thresholds) and heavy right-tailed NT-proBNP spreads (capturing acute decompensated heart failure states). 4. **Dynamic Cardio-Renal Feedback Loop:** Integrates a living pathophysiological axis. Endothelial retention degradation below 85 percent dynamically drives chronic nephropathy (eGFR decay), which in turn accelerates myocardial strain (log-linear NT-proBNP surge). These real-time variable shifts feed back into the metabolic decay constant (beta_total), establishing a self-accelerating vicious cycle of clinical degradation. 5. **Asymptotic Pharmacological Tolerance and Toxicology:** Calibrated for exogenous 1,3-Butadiene toxicity metrics based on established clinical literature regarding cigarette smoke volatile pollutants. The therapeutic arm incorporates first-order asymptotic saturation kinetics to model receptor downregulation and therapeutic waning over a 120-month timeline, preventing unbiological over-compensation. #### Statistical Validation:Despite the integration of aggressive cardio-renal feedback loops and therapeutic tolerance barriers, an independent two-sample t-test confirmed overwhelming statistical robustness for the Nrf2/Benfotiamin-inspired hybrid therapeutic intervention over the placebo arm:* T-Statistic (Vectorized T-Score): 5.5455* P-Value (Significance Level): 2.9675e-08 (Highly Significant, p < 1e-7) #### Broader Implications for Chronic Disease Modeling and Multimorbidity:Beyond the specific scope of diabetic endothelial decay, EndoDecay-Sim v9.0 establishes a foundational computational framework for simulating chronic disease progression and multi-systemic complications (multimorbidity). By mathematically mapping the reciprocal feedback loops between microvascular degradation, metabolic stress, and progressive organ-specific failure, the platform holds immense predictive potential for broader chronic cardiovascular, renal, and metabolic syndromes. This in-silico approach allows researchers to stress-test therapeutic interventions safely, project long-term clinical deterioration timelines, and optimize multi-target pharmacological protocols for complex, chronic pathologies prior to entering traditional clinical phases. #### Open-Science and Licensing:Released under the Creative Commons Attribution-Non","url":"https://doi.org/10.5281/zenodo.20586080","authors":["Zavrak, Muhammet Yagiz","Muhammet Yağız Zavrak"],"tags":["Clipping (morphology)","Computer science","Applied mathematics","Algorithm","Covariance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20586080","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.13140/rg.2.2.33620.36481","name":"The Medication Vulnerability Digital Twin: Simulating Individual Patient Risk for Nonadherence, Adverse Drug Events, Hospitalization, and Therapeutic Failure","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.33620.36481","authors":["David Gettman"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.13140/rg.2.2.33620.36481","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.5281/zenodo.22006838","name":"A Geometric Equivalence of the Twin Prime Conjecture: The Synchronous Coverage Conjecture and Bounded Gaps in the Layer Coordinate/孪生质数猜想的几何等价形式:同步覆盖猜想与层数有界间隙","source":"datacite","abstract":"Abstract A Geometric Framework for the Twin Prime Conjecture: Equivalent Transformation and Bounded Gaps in Layer Coordinates (vol.26) This paper equivalently transforms the Twin Prime Conjecture into a simultaneous coverage problem in layer coordinates, and rigorously proves a theorem on bounded gaps in layer coordinates. On the Twin Prime Conjecture The Twin Prime Conjecture asserts that there exist infinitely many pairs of primes (p, p+2). This is one of the oldest unsolved problems in number theory, having remained open for over two thousand years since the time of Euclid. In 2013, Yitang Zhang proved that there exist infinitely many pairs of primes with a gap of less than 70 million; subsequently, Tao, Maynard, and others reduced this upper bound to 246. However, the original conjecture for a gap of 2 remains unproven to this day. This paper does not adopt the traditional sieve-theoretic approach of analytic number theory, but instead builds upon a discrete geometric framework based on the Luoshu grid. Core Insight: Multiplication Is Phase Addition On the Luoshu grid, all primes greater than 3 lie on the six stations of the multiplication-by-2 orbit. Each station corresponds to a phase angle — six of the digital roots from 1 to 9. When two primes are multiplied, their digital-root phase angles are added; when a composite number is divided by a prime, its phase angle is subtracted. Multiplication is phase addition, division is phase subtraction. Thus, this paper establishes a complete set of number-theoretic geometric tools. Main Results of This Paper First, this paper equivalently transforms the Twin Prime Conjecture into a simultaneous coverage problem in layer coordinates. Specifically, there exist infinitely many twin prime pairs if and only if there exists a constant ε₀ > 0 such that for any sufficiently large layer number n, there exists a pair of primes (p, q) in the interval [n, n+ε₀] satisfying: D(p) = 2, D(q) = 4; p = 9K+2, q = 9K+4 for the same integer K; both primes have their layer coordinates lying within this interval. This paper terms this proposition the Simultaneous Coverage Conjecture, and proves its strict equivalence to the Twin Prime Conjecture. Second, this paper rigorously proves the Bounded Gaps in Layer Coordinates Theorem: There exists a constant ε₀ > 0 such that there are infinitely many pairs of primes (p, q) satisfying 0 < log₂₄(q/p) ≤ ε₀. Third, this paper explicitly points out the logical gap from \"bounded gaps in layer coordinates\" to \"bounded gaps in numerical values,\" and uses magnitude comparisons to demonstrate that this gap cannot be bridged by current tools in analytic number theory. Framework of the Proof Chapter 3: Under the layer coordinate n = log₂₄(N), the layer-coordinate difference Δn between consecutive primes with the same digital root tends to 0. Chapter 4: Within any fixed sufficiently large layer-coordinate interval, primes from all six phases are simultaneously covered. Chapter 5: Presents the Bounded Gaps in Layer Coordinates Theorem; proves the equivalence between the Simultaneous Coverage Conjecture and the Twin Prime Conjecture; and honestly delineates the boundaries of this framework. Independence from the Riemann Hypothesis The proof in this paper does not depend on the Riemann Hypothesis, nor on any unproven assumptions in analytic number theory. It is built upon discrete geometry and the principle of phase superposition; all external tools employed (Hoheisel's theorem, Linnik's theorem, Dirichlet's theorem) are classical results that have been rigorously proven. Keywords: Twin Prime Conjecture; Luoshu grid; layer coordinates; digital root; phase addition; simultaneous coverage; bounded gaps; discrete geometry; Dirichlet's theorem; Linnik's theorem; Hoheisel's theorem","url":"https://doi.org/10.5281/zenodo.22006838","authors":["Li, Shuping"],"tags":["twin prime conjecture, twin primes, prime distribution, digital roots, Multiplication-by-2 Orbit, phase angle, phase matching, 9K+M decomposition, recursive peeling, layer coordinate, Δn decay, golden ratio, 24-fold scaling, Luoshu Lattice, spiral motion, energy particle, phase addition, phase subtraction, prime gaps, isomorphism of numbers and matter, 孪生质数猜想,孪生质数,质数分布,数字根,乘2轨道,乘4轨道,乘3轨道,相位角,相位匹配,相位加法,相位减法,9K+M 分解,递归剥离,递归核,相位串,层数坐标,Δn 衰减,黄金比例,24倍分形,洛书网格,螺旋运动,能粒子,相位匹配判定法,层数区间,相位覆盖,质数间隙,狄利克雷定理,数论,质数定理,数与物同构"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22006838","addedAt":"2026-09-01T01:47:32.423Z","updatedAt":"2026-09-01T01:47:32.423Z"},{"id":"doi:10.64898/2026.06.15.26355737","name":"Digital twin reconstruction of ventricular repolarisation identifies regional causes of T-wave abnormalities in hypertrophic cardiomyopathy","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.06.15.26355737","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.15.26355737","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202604.1837.v1","name":"Agentic AI for Climate-Resilient Cities: A PRISMA-Guided Review and Digital Twin Framework","source":"europepmc","abstract":"Rapid urbanization and intensifying climate risks are placing unprecedented pressure on cities to transition toward sustainable and resilient models. Achieving Sustainable Development Goals (SDGs) 11 (Sustainable Cities and Communities) and 13 (Climate Action) requires intelligent systems capable of interpreting complex urban dynamics and enabling proactive, adaptive decision-making. This paper presents a PRISMA-guided rapid review examining the role of Agentic Artificial Intelligence (AAI)–autonomous, goal-directed systems with multi-step reasoning, tool use, and multi-agent coordination–in advancing urban sustainability and climate resilience. Studies were required to exhibit at least two attributes: autonomous decision-making, multi-step planning, tool use or environmental interaction, and multi-agent coordination. From 920 records, 70 peer-reviewed studies were synthesized, covering smart mobility, infrastructure planning, waste management, emergency response, climate monitoring, emissions tracking, renewable energy forecasting, and multi-hazard early warning systems. Results show that despite rapid progress, AAI applications remain fragmented and domain-specific. To address this, a unified Agentic AI–Digital Twin framework is proposed, integrating real-time sensing, urban–climate co-simulation, multi-agent coordination, and adaptive decision intelligence. A Pareto-based optimization approach balances competing sustainability goals. Key challenges in interoperability, data governance, ethics, and scalability are identified, alongside a research roadmap for integrated intelligent urban ecosystems.","url":"https://doi.org/10.20944/preprints202604.1837.v1","authors":["Toqeer Ali Syed","Ali Akarma","Muhammad Tayyab Naqash","Danial Hameed","Shahid Kamal","Antonio Formisano"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1837.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.03.14.711542","name":"BioOS: A Gene-Driven Digital Twin Runtime for Emergent Plant Development","source":"preprints","abstract":"Predicting plant phenotypes from genomic data requires models that bridge molecular regulation and organ-scale morphogenesis. We introduce BioOS, a computational runtime in which plant behavior - cell division, differentiation, and elongation - emerges from the execution of a gene regulatory network rather than from hardcoded rules. The system is built on the Formal Cell abstraction: a minimal signal-processing unit analogous to the McCulloch-Pitts formal neuron, whose transfer function is gene expression. Each Formal Cell evaluates promoters, transcribes mRNA, translates proteins, and derives its entire behavioral repertoire from the resulting protein concentrations - without a single hardcoded rule in the simulator code. A multi-scale architecture with level-of-detail switching enables real-time simulation of Arabidopsis thaliana primary root development. On the current official five-case primary-root auxin benchmark, BioOS achieves 75.4% mean score, 5/5 qualitative matches, 5/5 cases passing all current gates, and Spearman severity correlation ρ = 0.70. The current root-auxin runtime is driven by a curated 35-gene registry with explicit promoter logic, kinetic parameters, and epigenetic state; for readability, this manuscript details a core 18-gene subnetwork that carries the main auxin benchmark logic. We describe the architecture, the gene expression runtime, the epigenetic memory model, the completed transition to post-hoc (non-causal) zone classification, and candidate benchmark extensions for persistent plasmodesmata and intracellular auxin compartmentalization within a broader six-suite, 63-case benchmark framework. Beyond the root-auxin slice, the current codebase also closes the official flowering (5/5), photosynthesis (7/7), and cytokinin (5/5) gates, while root-patterning remains a passing candidate panel.","url":"https://doi.org/10.64898/2026.03.14.711542","authors":["Emeline AUGER","Mickael Gandecki","Charly Delarche","Francois Xavier Heng"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.14.711542","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.21203/rs.3.rs-9982997/v1","name":"A Data-Scarce Digital Twin for Tourism-Driven Island Mobility: Simulation, Validation, and Intervention Evaluation on Milos, Greece","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9982997/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9982997/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9446521/v1","name":"Application of Digital Twin Technology for Predictive Monitoring of Pipeline Strainers in Offshore Fluid Systems","source":"preprints","abstract":"Abstract Pipeline strainers are essential components in all fluid systems offshore, whose prime function is to filter out debris and particulates from the flow streams to protect the downstream equipment. Efficiency decreases owing to clogging and fouling and mechanical degradation leading to unexpected shutdowns over time. This paper discusses the framework of the digital twin for real-time predictive monitoring of pipeline strainers by integrating physics-based modeling with sensor data and predictive algorithms. Hydrodynamic behavior, clogging dynamics, and vibration response will be embedded into the DT model. Further, pressure drop and flow rate measurements will be assimilated through a Bayesian updating scheme that continuously updates the model, whereas predictive algorithms forecast clogging and optimize maintenance actions much in advance of failure. Numerical simulation has been conducted for particle-laden flow within the Y-type basket strainer to evaluate the predictive capability of DT. The key calculations include effective flow area reduction, pressure drop prediction, clogging mass accumulation, and vibration frequency variation. It can be observed that DT is able to predict the critical threshold of pressure drop with less than 5% error while providing as long as 72 hours of lead time for maintenance action. These results underline the potential benefit of digital twin technologies that optimize the schedules of maintenance, improve reliability, and reduce unplanned downtime within offshore operations. The proposed framework is easily adoptable for other fluid-handling components in energy-intensive industrial systems.","url":"https://doi.org/10.21203/rs.3.rs-9446521/v1","authors":["Nsini Ignatius Udo"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9446521/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202605.0682.v1","name":"Towards Trustworthy Cyber-Physical Futures: Comprehensive Survey of Trust and Security in Digital Twin Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0682.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0682.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202603.2098.v1","name":"The Role of Data Analytics and Digital Twin Technologies in Enhancing Smart Factory Performance","source":"preprints","abstract":"This study investigates the role of data analytics and digital twin technologies in enhancing smart factory performance, focusing on their impact on operational efficiency, product quality, and organizational transformation. The purpose was to explore how the integration of these technologies enables manufacturers to optimize processes, anticipate disruptions, and make data-driven decisions in complex and dynamic production environments. A qualitative research approach was employed, using a multiple-case study design with semi-structured interviews conducted with key stakeholders, including operations managers, IT specialists, and production engineers. Supplementary data were collected from organizational documents and observational insights to provide contextual depth and triangulate findings. The analysis revealed that data analytics supports real-time monitoring, predictive maintenance, process optimization, and quality control, while digital twins enable virtual simulation, scenario testing, and holistic system visualization. Their integration creates a continuous feedback loop that enhances decision-making, operational flexibility, and innovation. The findings also highlight organizational benefits, including the development of a data-driven culture, enhanced collaboration, and sustainability improvements, alongside challenges such as high implementation costs, technical complexity, and skill gaps. The study’s implications suggest that manufacturers can achieve superior performance and long-term competitiveness by strategically adopting and integrating these technologies, emphasizing the importance of leadership support, workforce development, and scalable implementation strategies in realizing the full potential of smart factory initiatives.","url":"https://doi.org/10.20944/preprints202603.2098.v1","authors":["Isabelle Warwick"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.2098.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.64898/2026.05.05.722891","name":"DigitalPedon: A Novel Digital Twin Framework for Soil Profile Monitoring and Global Soil Data Interoperability","source":"preprints","abstract":"Abstract The Digital Pedon (DP) is an open-source Python framework that represents a soil profile as a continuously updated digital twin, bridging three persistent gaps in soil science: disconnected models and observations, cross-database interoperability, and the inference gap between raw sensor signals and agronomically meaningful variables. Integrating real-time sensor streams, model-based solver chains (Model-Zoo), GLOSIS-compliant ontology mapping, and a novel LLM agentic interface layer enabling natural language soil queries, the DP supports applications spanning precision agriculture, digital soil mapping, and environmental sustainability assessment. Four proof-of-concept experiments confirm automatic profile initialisation fidelity, solver chain consistency, ontology compliance, and user-defined solver extensibility.","url":"https://doi.org/10.64898/2026.05.05.722891","authors":["Ali Youssef","Nasem Badreldin"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.05.722891","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202605.1733.v1","name":"Digital Twin Enabled Predictive Maintenance: A Systematic Review of Modeling Strategies, Maintenance Functions, and Application Domains","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.1733.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.1733.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.64898/2026.04.10.717365","name":"An EEG-fMRI Jointly Constrained Digital Twin Brain and Its Application in Alzheime's Disease","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.04.10.717365","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.04.10.717365","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.1754.v1","name":"A Forecast-Embedded, Uncertainty-Aware Digital Twin for MPC-Coupled Battery Sizing and Multi-Objective Energy Management in PV-Based DC Microgrids","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1754.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1754.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10186315/v1","name":"From Linear Waste to Closed-Loop Value: A Digital Twin-Enabled Parametric Cost Architecture for Circular Construction in Peru","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10186315/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10186315/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202604.0604.v1","name":"Digital Twin Experience and Impulse Buying: The Mediating Role of Spendception and the Moderating Role of Control","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.0604.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.0604.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.31234/osf.io/m78jz_v1","name":"Integrating Causal Inference with Digital Twin Modeling for Individualized Mental Health Research","source":"europepmc","abstract":"","url":"https://doi.org/10.31234/osf.io/m78jz_v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.31234/osf.io/m78jz_v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10129243/v1","name":"Autonomous Camera-driven Environmental Risk Intelligence Framework Integrating Digital Twin Analytics for Smart Firework Industry Safety","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10129243/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10129243/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202604.1291.v1","name":"Front Running Simulation: A Digital Twin Framework for Real-Time Replication, Prediction, and Goal Navigation","source":"preprints","abstract":"Front Running Simulation (FRS) is a Digital Twin–enabled capability that continuously replicates the current state of physical systems, predicts probable future states, and identifies actions to navigate to defined goals while minimizing the expenditure of scarce physical resources. Unlike traditional simulation, which operates offline with predefined initial conditions, FRS is continuously synchronized with reality through Digital Twin Instances (DTIs), allowing forward-looking simulation from the present state. FRS is based on three core activities—replication, prediction, and navigation—supported by data, Models of Reality (MoR), simulation, and information. Data enables replication. Simulation based on MoRs, enables prediction through causal and probabilistic methods; and information enables goal-directed action selection. The integration of Digital Twin Aggregates (DTAs) and Artificial Intelligence introduces Bayesian, data-driven prediction that complements physics-based simulation. This hybrid approach combines exploration of possible futures with rapid identification of probable outcomes. As the examples demonstrate, FRS shifts the focus from only adverse event avoidance to goal attainment under constraints, enabling proactive, information-driven decision-making. It provides a unifying Digital Twin FRS framework for Models of Reality, data, simulation, information, and AI to improve operational efficiency and effectiveness in complex systems.","url":"https://doi.org/10.20944/preprints202604.1291.v1","authors":["Michael Grieves"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1291.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9916092/v1","name":"A Real-Time Digital Twin Framework for Atmospheric Flow and Wind-Driven Sand Transport over Heritage Sites","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9916092/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9916092/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8500641/v1","name":"A Digital Twin-Driven Computation and Analysis Framework for Low-Altitude Airspace","source":"preprints","abstract":"Abstract To address key challenges in low-altitude airspace management, such as high dynamic complexity, significant safety risks, and information fragmentation, a digital twin-based methodology for low-altitude airspace computation and analysis is proposed in this paper. First, a four-layer digital twin system architecture is established. High-fidelity digital twin mapping of the low-altitude airspace is achieved through the integration of multi-source heterogeneous data, the application of unified spatio-temporal representation, the implementation of dynamic evolution modeling, and the facilitation of bidirectional physical-virtual closed-loop interaction. Second, innovative intelligent algorithms, including a bidirectional GRU-Seq2Seq trajectory prediction model and a Kalman filter-based error compensation mechanism, are incorporated. These components form a comprehensive technical framework that supports quantitative airspace resource evaluation, real-time trajectory analysis, and conflict prediction and early warning. Finally, experimental validation is conducted across three scenarios: single-target conventional flight, multi-target collaborative flight, and extreme weather interference. The results indicate that, compared with the conventional geometric twin approach, the proposed method achieves a 37.2% reduction in trajectory deviation, a 62.5% improvement in conflict warning accuracy, and a 28.6% enhancement in site selection safety. Furthermore, it is shown to outperform traditional methods across five core performance metrics, including computational efficiency and trajectory accuracy, which further confirms its strong suitability for supporting the high-quality development of the low-altitude economy.","url":"https://doi.org/10.21203/rs.3.rs-8500641/v1","authors":["Zhenghan HE","Weibin ZHANG","Peng DU","Zhiyong LIU"],"tags":["Trajectory","Computer science","Key (lock)","Computation","Kalman filter"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8500641/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.22541/au.177267257.74897159/v1","name":"Hierarchical Cognitive Digital Twin Framework for Coordinated V2X in Networked Building Microgrids","source":"preprints","abstract":"Coordinating Vehicle to Everything (V2X) services across multiple building microgrids remains challenging due to scalability limitations, lack of convergence guarantees, and inadequate battery degradation consideration. This paper develops a hierarchical Cognitive Digital Twin (CDT) framework for coordinated V2X services across networked building microgrids. The framework comprises local building digital twins managing individual operations and a central coordinator orchestrating peer to peer (P2P) energy trading through a distributed consensus algorithm. A Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm with physics informed battery degradation constraints is developed, with theoretical analysis establishing convergence to an ϵ-local Nash equilibrium under standard assumptions. Simulations on a modified IEEE 33-bus system with 3–20 building microgrids, validated using real world datasets (UK-DALE, ACN-Data, Pecan Street), demonstrate 47.7% ± 3.2% reduction in daily operating costs compared to state of the art methods. Statistical analysis over 10 independent runs (p &lt; 0.001) validates the effectiveness of the proposed approach.","url":"https://doi.org/10.22541/au.177267257.74897159/v1","authors":["Mohammed Mousa"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/au.177267257.74897159/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.21203/rs.3.rs-10590522/v1","name":"Generative AI and Digital Twin Integration for Predictive Maintenance in Industry 5.0 Manufacturing Systems: A Systematic Literature Review and Future Research Framework","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10590522/v1","authors":["Bondhon Paul","MD AZIZUL HAKIM ABIR","RAFIUR RAHMAN","MD TANVIR AHMED TOWFIQ","BULBUL HASAN REFAT","KHALEED SAIFULLAH"],"tags":["Systematic review","Industry 4.0","Computer science","Generative grammar","Conceptual framework"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10590522/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.64898/2026.06.10.731278","name":"Investigation of In Vivo Silk Scaffold Degradation by Decoupling Tissue Ingrowth Using a GPR-Driven Digital Twin Framework","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.06.10.731278","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.10.731278","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9345215/v1","name":"A Closed-Loop Machine Learning and Digital Twin Framework for the Discovery of High- Performance Solid-State Electrolytes","source":"preprints","abstract":"Abstract The development of solid-state electrolytes (SSEs) with high ionic conductivity remains a critical challenge for next-generation batteries. Traditional trial-and-error discovery methods are time-consuming, and computational screening approaches often lack experimental validation. In this work, we present a closed-loop framework integrating machine learning (ML) with a physics-based digital twin (DT) to accelerate SSE discovery. A Random Forest model trained on 497 experimentally validated Li-based SSEs predicts ionic conductivity using composition-based descriptors. The model achieves a mean absolute error of approximately 0.91 log₁₀(S cm⁻¹) and an R² of 0.68. A Bayesian optimization strategy is employed to explore the Li-garnet compositional space, leading to the identification of an optimized composition, Li₆.₂₀Ga₀.₂₀Ta₀.₀₇La₃Zr₂O₁₂, with predicted ionic conductivity of 5.86 × 10⁻⁴ S cm⁻¹. The digital twin further validates this candidate through full-cell discharge simulation. This framework demonstrates an efficient and scalable approach for accelerating materials discovery in solid-state batteries.","url":"https://doi.org/10.21203/rs.3.rs-9345215/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9345215/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10196650/v1","name":"Digital-Twin-Driven Cost-Scenario Simulation for Civil Infrastructure: A Comparative Framework from the Netherlands and Germany with an Adaptation Pathway for Peru","source":"europepmc","abstract":"Abstract Background . Cost overruns and budget unpredictability remain persistent challenges in civil infrastructure delivery, particularly where static, document-based budgeting is decoupled from real-time site conditions. Digital twins (DT), understood as dynamic, data-synchronized virtual replicas of physical assets, have been proposed as a mechanism to couple cost engineering with live project data, yet comparative evidence on how mature DT ecosystems structure cost-scenario simulation remains fragmented. Objective . This study analyzes and compares the structural and methodological features of digital-twin-enabled cost-scenario simulation in the Netherlands and Germany, two countries with documented but architecturally distinct DT ecosystems, and proposes a context-sensitive adaptation pathway for cost and budget management of construction works in Peru. Methods . A structured, criteria-based comparative analysis was conducted using peer-reviewed and institutional sources retrieved from Scopus-indexed and Springer Nature-affiliated venues. A comparison matrix was built across seven dimensions (governing cost standard, primary DT use-case, simulation method, interoperability, reported budget variance, institutional driver, and applicability to Peru). Cost and budget formulas verified against the engineering-management literature (parametric estimating, BIM 5D quantity costing, Earned Value Management, Monte Carlo cost-risk simulation, and life-cycle costing) were systematized and mapped onto each architectural layer of a proposed digital-twin framework. Results. The Dutch ecosystem is predominantly infrastructure- and logistics-centric, anchored in open BIM/IFC public-tender mandates and probabilistic cost-CO2 co-simulation, with reported budget variances near 5–8% in digital-twin pilots. The German ecosystem is predominantly structural- and manufacturing-centric, anchored in DIN 276 cost classification and life-cycle costing coupled to sensor telemetry. Both ecosystems converge on the use of probabilistic, scenario-based cost simulation rather than static deterministic budgeting, but diverge in their principal cost driver and in interoperability protocols. Conclusions . A hybrid framework combining Dutch-style open cost coding with German-style life-cycle costing, mapped onto Peru's existing BIM 5D regulatory mandate (Decreto Supremo No. 289-2019-EF) and national price databases, offers a feasible, low-cost adaptation pathway for reducing budget overruns in Peruvian public infrastructure, contingent on data governance and workforce capacity-building.","url":"https://doi.org/10.21203/rs.3.rs-10196650/v1","authors":["PAUL RICARDO PRUDENCIO GALVEZ"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10196650/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202605.0004.v1","name":"Integrating Digital Twin and Optimization for First-Mile Milk Collection Systems: A Scenario-Based Evaluation Framework","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0004.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0004.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202601.2095.v1","name":"A Digital Twin of Canagliflozin Pharmacokinetics and Pharmacodynamics in Type 2 Diabetes Mellitus","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.2095.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.2095.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.20944/preprints202604.1131.v1","name":"Energy‐Aware AI for Landscape‐Scale Conservation: A Digital Twin Architecture for the Greater Yellowstone Ecosystem","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1131.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1131.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.03.13.26346736","name":"AKI-twinX: explainable organ structured digital twin for sepsis AKI trajectory forecasting","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.13.26346736","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.13.26346736","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-10042678/v1","name":"Digital Twin–Enabled Robotic Surgery: A Bibliometric and Knowledge-Mapping Analysis from Patient-Specific Simulation to Autonomy and Clinical Translation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10042678/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10042678/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.1579.v1","name":"An AI-Driven Low-Cost Cyber-Physical Digital Twin Framework for Steel Column SHM: Integrating IoT Telemetry and Machine Learning Surrogate Models","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1579.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1579.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8572637/v1","name":"Digital Twin-Driven Dynamic Scheduling for Multi-Disturbance Manufacturing Workshops","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8572637/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8572637/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.64898/2026.05.01.720924","name":"The first digital twin of  <i>Enterococcus faecium</i>  metabolism reproduces high-throughput phenotyping data","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.05.01.720924","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.01.720924","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.1473.v1","name":"Digital-Twin-Driven Design and Financial Validation of a Collaborative Robotic Cell for Automated Chocolate-Bar Unwrapping in a Small-Scale Confectionery Plant","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1473.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1473.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.04.23.719998","name":"A Proteome-Calibrated Mechanistic Digital Twin of the Glioblastoma Astrocyte Derived from Patient Multi-Omic Data","source":"preprints","abstract":"Abstract Digital twins of biological systems have been proposed as a framework for personalized medicine; however, existing implementations in oncology operate at the tissue or population scale with parameters derived from textbook kinetics rather than patient data. We describe a mechanistic digital twin of the glioblastoma (GBM) astrocyte in which all rate constants are calibrated to proteomic measurements from 50 wild-type GBM patients from the Clinical Proteomic Tumor Analysis Consortium (CPTAC, BCM source, n = 99 total). The twin comprises a 25-node ordinary differential equation (ODE) signaling network spanning the EGFR–MAPK, PI3K–AKT–mTOR, JAK–STAT, and cell cycle axes, a Hamiltonian covariance matrix constructed from 9,358 proteomic features (spectral concentration c = 0.168, 80% variance in 24 modes), and a gradient-based algebraic steady-state calibration procedure that achieves Spearman ρ = 1.000 between simulated and measured protein abundances across 10 observable signaling nodes in 3.6 seconds on an A100 GPU. Five clinically relevant genetic perturbations were implemented (EGFRvIII, PTEN loss, IDH1 R132H, PD-L1 upregulation, compound EGFRvIII + PTEN loss), and four drug classes were simulated (erlotinib, temsirolimus, atezolizumab, ivosidenib) at multiple doses. All six pre-specified biological validation checks passed, including PTEN-loss AKT escape from erlotinib via basal PI3K activity. Erlotinib dose–response curves reveal that EGFRvIII cells maintain pERK activity until approximately 1 µ M before collapsing, while PTEN-loss cells exhibit deeper suppression because the EGFR–MAPK axis becomes the sole remaining survival signal when PI3K is constitutively active. Perturbation directionality is mechanistically coherent across all genotype–drug combinations. The framework demonstrates that proteome-calibrated mechanistic cell digital twins are computationally tractable, biologically interpretable, and distinguishable from existing population-level statistical models in both their construction and their limitations. Code is available at https://github.com/radres2019/gbm-digital-twin .","url":"https://doi.org/10.64898/2026.04.23.719998","authors":["John D. Mayfield"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.04.23.719998","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9497840/v1","name":"Development of a Resilient Low-Cost Digital Twin Framework for Real-Time Inventory Management: Volume I","source":"preprints","abstract":"Abstract This paper presents the development of a low-cost, cyber-physical inventory management system, serving as Volume I of a multi-stage research project. The study focuses on the foundational prototype development and baseline system feasibility of utilizing sensor fusion and digital twin technology for MSME logistics. Initial iterations using standalone piezoelectric sensors identified a critical failure mode involving signal decay under static loads. To mitigate false detection and establish a reliable data foundation, a secondary LDR (Light Dependent Resistor)-based verification layer was integrated into a NodeMCU-based architecture. The framework is validated through a modular benchtop experimental setup synchronized with a 3D digital twin interface. While this phase establishes high-integrity data mirroring, a hypothesis for future optimization using 12-bit ADC platforms and predictive modeling is proposed as Volume II of this research.","url":"https://doi.org/10.21203/rs.3.rs-9497840/v1","authors":["Karthik .V.S"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9497840/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.64898/2026.03.12.711092","name":"A biatrial digital twin integrating electrophysiology, mechanics, and circulation: from physiology to atrial fibrillation","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.12.711092","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.12.711092","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-8982103/v1","name":"Digital Twin Model for Venovenous Extracorporeal Membrane Oxygenation Based on Pulse Physiology Engine","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8982103/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8982103/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.12688/openreseurope.24549.1","name":"Range-risk estimation for electric vehicles in low-coverage mountain road segments: A digital-twin study with prequential beacon-based Federated Learning","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/openreseurope.24549.1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/openreseurope.24549.1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.08.11.26360175","name":"Combining Clinical LAFOV PET/CT with a Digital Twin Providing Motion-Free Ground Truth Reveals Quantitative Trade-offs in Respiratory Motion Correction","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.08.11.26360175","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.11.26360175","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.03.06.26347199","name":"Physiology-Informed Digital Twin-AI Framework Predicts Pacing Therapy Response in HFpEF","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.06.26347199","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.06.26347199","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-9848737/v1","name":"AI-Driven layout reconfiguration for lab-scale production lines by the Integration of genetic algorithms and LSTM networks with a digital twin","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9848737/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9848737/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-8294991/v1","name":"Digital Twin Technology for Cost Optimization and Risk Reduction in Infrastructure Projects","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8294991/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8294991/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.03.06.710030","name":"Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness","source":"preprints","abstract":"Linking synaptic-level perturbations to distributed brain-network dynamics remains a central challenge for understanding and treating mental illness. Although recent whole-brain models can reproduce individual brain activity patterns, they largely function as descriptive simulators rather than mechanistic, intervention-capable systems. Here we present an intervention-capable digital twin of the human brain, integrating individual neuroanatomy and task-evoked dynamics within a neuronal-scale framework. Individualised digital twin brains recapitulate a participant-specific compact cortico-subcortical network phenotype that captures transdiagnostic psychopathology across population and clinical cohorts. In silico modulation of excitatory and inhibitory synaptic conductance produces bidirectional, heterogeneous network responses across individuals. Population-scale simulations stratify individuals and predict longitudinal symptom trajectories from DTB-derived response profiles. Independent pharmacological functional MRI data further validate the predicted baseline-dependent network responses in vivo. Together, these findings establish digital brain models as experimental platforms for mechanistic perturbation, behavioural prediction and stratification, providing a foundation for precision neuroscience and psychiatry.","url":"https://doi.org/10.64898/2026.03.06.710030","authors":["Yunman Xia","Songjun Peng","Juergen Dukart","Y. Xie","Shitong Xiang","Spase Petkoski","Zilin Li","Joerg F. Hipp","Suresh Muthukumaraswamy","Anna Forsyth","Tianye Jia","Nilakshi Vaidya"],"tags":["Neuroscience","Neuroanatomy","Psychology","Population","Network dynamics"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.06.710030","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202605.0328.v1","name":"A PBPK Digital Twin of Rapamycin for Predicting Dose–Exposure Relationships, Organ Impairment Effects, and Drug–Drug Interactions","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0328.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0328.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9227696/v1","name":"Governing the Digital Transition: A Systems Thinking Approach to Analyse Digital Twin Adoption in UK Housing Retrofit","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9227696/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9227696/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10301806/v1","name":"Developing Digital Twin Modelling for Lung Cancer Management Powered by Deep Learning-based Survival Analysis, Risk Stratification and Decision Support Recommendations","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10301806/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10301806/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202606.2039.v1","name":"Catalyst-Activity-Aware Self-Optimizing Digital Twin for o-Xylene Oxidation to Phthalic Anhydride in a Catalyst-Deactivating Fixed-Bed Reactor","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.2039.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.2039.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8823465/v1","name":"A Digital Twin Framework Integrating Marine Microclimate Modeling for Reliable and Cost-Effective Design of 100% Renewable Coastal Energy Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8823465/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8823465/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202604.0796.v1","name":"A Physics-Based Digital Twin Framework for Hygro–Thermo–Mechanical Degradation in Fiber-Reinforced Polymer Composites","source":"preprints","abstract":"Polymer composites used in structural applications are frequently exposed to combined thermal and moisture environments, which gradually degrade their mechanical performance over time. Predicting this behavior remains challenging due to the complex interaction between moisture diffusion, thermally activated degradation, and evolving mechanical response. In this study, a physics-based digital twin framework is developed to model the coupled hygro–thermo–mechanical degradation of fiber-reinforced polymer composites. The approach integrates moisture diffusion based on Fickian principles, temperature-dependent degradation described using Arrhenius kinetics, and a coupled modulus evolution model to represent time-dependent material behavior. The results capture key physical trends, including moisture saturation behavior, gradual stiffness reduction, and stable damage evolution under moderate environmental conditions. In addition, the influence of fiber volume fraction and temperature is systematically examined, highlighting their important roles in governing degradation resistance and long-term durability. Rather than relying on data-driven methods, the proposed framework is grounded in physically interpretable mechanisms, providing a transparent and computationally efficient tool for durability assessment. The model is presented as a qualitative benchmarking framework in the absence of system-specific calibration, with clear potential for future experimental validation and probabilistic extensions.","url":"https://doi.org/10.20944/preprints202604.0796.v1","authors":["Aswin Karakadakattil"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.0796.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-8610524/v1","name":"Hydrogel droplets are generated and manipulated in a cylindrical cavity microfluidic environment- digital twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8610524/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8610524/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202604.0752.v1","name":"Digital Twin AI for Hyper-Local Wildfire Spread Prediction Using 5G IoT Mesh Networks","source":"preprints","abstract":"Wildfire spread prediction demands hyper-local accuracy at scales unattainable by traditional physics-based models or coarse satellite observations. This paper introduces a novel Digital Twin AI framework leveraging 5G IoT mesh networks to deliver real-time, 10m×10m resolution fire propagation forecasts with 5-60-minute lead times. Deployed across 1,200 self-healing sensor nodes, the system fuses multi-modal environmental data thermal anomalies, 3D winds profiles, dynamic fuel moisture at 100Hz through graph attention networks, feeding physics-informed neural twins synchronized via unscented Kalman filtering. The edge-optimized prediction engine combines convolutional cellular automata with graph neural networks, achieving 42% IoU improvement over FARSITE baselines while executing 8.2ms inference cycles on Jetson Orin NPUs. Federated learning across mesh nodes enables continuous adaptation without compromising operational privacy, while INT4 quantization and RTOS scheduling guarantee sub-10ms end-to-end latency critical for first responder activation. The framework scales linearly to 10K nodes, reduces false alerts by 73%, and maintains 99.999% uptime through dynamic routing around fire-damaged sensors. This work establishes a new paradigm for autonomous wildfire intelligence, transforming reactive response into proactive hyper local containment.","url":"https://doi.org/10.20944/preprints202604.0752.v1","authors":["Sindhuja A"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.0752.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-8617369/v1","name":"Digital Twin-Based AI System for Mental Health Monitoring in Academic Environments","source":"preprints","abstract":"Abstract This paper presents a Digital Twin–based Artificial Intelligence (DT–AI) framework for real-time mental health monitoring in academic environments. The system combines multimodal data such as facial expressions, voice tone, physiological signals and behavioral features, all collected by IoT-based sensors. A novel hybrid Swin Transformer–Temporal Graph Neural Network (TGNN) architecture is proposed to capture spatial–hierarchical features and temporal dependencies across modalities. The resulting outputs are then fused to compute a Mental Health Index (MHI), which quantifies emotional stability and stress intensity. Each student’s Digital Twin dynamically mirrors real-world psychological states through a continuous flow of data, enabling it for early detection of stress and adaptive interventions. Experimental evaluation on the RAVDESS and WESAD datasets achieved 93.2% emotion-recognition accuracy, 0.88 F1-score for stress classification, and 0.93 MHI correlation, which confirms the effectiveness of this framework. The proposed DT–AI approach provides a scalable, interpretable, and privacy-preserving basis for proactive mental health care in educational ecosystems.","url":"https://doi.org/10.21203/rs.3.rs-8617369/v1","authors":["Amanullah Quamer","Harshita .","Khalid Hafiz Mir"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8617369/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202603.0677.v1","name":"A Unified Namespace–Driven Digital Twin Framework for Real Time Control of Multiscale Biomedical Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.0677.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.0677.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202603.2403.v1","name":"Toward Viable Agricultural Supply Chains: A Digital Twin Framework with Artificial Intelligence and Immune-Inspired Control","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.2403.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.2403.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202604.1352.v1","name":"A Digital Twin-Enabled Framework for Sustainable Regeneration of Cold-Region Industrial Heritage: A Case Study of Harbin China","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1352.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1352.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9410185/v1","name":"Digital Twin-Driven Edge–Cloud Collaborative Remote Fault Diagnosis and Intelligent Predictive Maintenance for Critical Hydropower Equipment","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9410185/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9410185/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9518570/v1","name":"A Geant4 digital twin for high-resolution neutron tomography of medieval filigree: detectability limits for Hg-rich amalgam gilding","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9518570/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9518570/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-9745927/v1","name":"Mechanobiology-Guided Digital Twin Simulation of Tibial Fracture Healing: Patient-Specific Prediction of Non-Union and Union After Revision Fixation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9745927/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9745927/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9411956/v1","name":"Refining the Digital Twin Concept for Targeted Anticancer Drug Delivery: Integrating Dynamic Physiological Models with Reinforcement Learning","source":"preprints","abstract":"Abstract Traditional approaches to anticancer dosing typically rely on fixed protocols that often overlook how patients respond differently to treatment. This can limit both effectiveness and safety. In this work, we introduce a digital twin–reinforcement learning (DT-RL) framework designed to support more adaptive and personalized treatment strategies. The system brings together physiologically based pharmacokinetic (PBPK) modeling, tumor–immune dynamics, and a safety-aware reinforcement learning agent within a closed-loop setup that continuously updates decisions based on the patient’s evolving condition. Using a high-fidelity simulation environment informed by recent progress in radiopharmaceuticals, chemotherapy, and nanoparticle-based drug delivery, the framework enables real-time prediction of how drugs distribute in the body and how tumors respond. By combining mechanistic PBPK models with Neural Ordinary Differential Equations and physics-informed neural networks, the approach improves prediction across multiple biological scales. Within this setup, the RL agent adjusts dosing over time, aiming to maximize treatment effectiveness while keeping toxicity within safe limits. Across representative applications—including PSMA-targeted radiopharmaceutical therapy, triple-negative breast cancer chemotherapy, and nanoparticle-based delivery systems—the framework shows encouraging performance. It achieves dose prediction errors in the range of 8–20%, reaches around 85% accuracy in response prediction, and improves tumor targeting compared to conventional approaches. There are still important challenges to address, particularly around clinical validation, real-time data integration, and regulatory considerations. Even so, this work outlines a practical path toward more responsive and individualized cancer treatment, where therapy can be continuously adjusted based on patient-specific dynamics rather than fixed dosing rules.","url":"https://doi.org/10.21203/rs.3.rs-9411956/v1","authors":["Atantra Das Gupta"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9411956/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.07.11.737972","name":"A Physics-Inspired Classical Digital Twin of the Cell: A Composite Multi-Clock Port-Hamiltonian Neural Network Learned from Multi-Omic Circadian Data","source":"europepmc","abstract":"Abstract We present a physics-inspired classical digital twin of the cell: a graph neural network constrained to a compartmental, multi-clock port-Hamiltonian form, with parameters learned from multi-omic measurements. The port-Hamiltonian structure is a modelling choice — it buys conservation, passivity and a clean separation of storage, routing and dissipation — not a claim about what a cell is. The state pairs each species’ abundance deviation with a phase coordinate, assigned only where a per-clock rhythmicity gate certifies periodicity. Stored energy decomposes over five functional compartments, so stability is verified compartment by compartment. Two distinct clocks are included — the 24-hour transcription–translation loop and the 20-hour transcription-independent redox oscillator — coupled through a zero-net-power link, with the central-dogma correspondence hard-wired and moiety pools exact invariants. On a real mouse-liver three-omic dataset the verdict is mixed. Across ten seeds the trained twin is thermodynamically stable (no violations at any sampled state) and forecasts held-out segments (root-mean-square error 0.325 ± 0.002). Its central prediction — cross-omic phase lag equals arctan of clock frequency over degradation rate — matches the aggregate transcript-to-protein lag (5.74 ± 0.03 versus 4.90 hours), but the per-gene correlation is indistinguishable from zero ( r = 0.06 ± 0.27, sign unstable across seeds), so the law is supported in aggregate and unresolved per species. Recovery of withheld interaction edges is at chance (AUROC 0.50 ± 0.13, nine of ten seeds scoreable): 24 timepoints do not identify network topology, which we report as a bound on what this data volume supports rather than as a property of the framework. Because the port-Hamiltonian form is imposed by construction, edits to the twin preserve it, so specialisation and disease can be expressed as structured perturbations of this reference twin rather than as separate models.","url":"https://doi.org/10.64898/2026.07.11.737972","authors":["Dibakar Sigdel","Namuna Panday"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.11.737972","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.03.19.26348807","name":"A clinic-updated digital twin for Parkinson’s disease progression: Governed Bayesian forecasting with uncertainty-gated reporting","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.19.26348807","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.19.26348807","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-9656540/v1","name":"Carbon-Aware Self-Healing Smart Grid Using Digital Twin and Swarm Artificial Intelligence for Sustainable Power System Resilience","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9656540/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9656540/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.06.03.26354823","name":"KESOZI Digital Twin: Physics-Informed Neural Network for Independent Estimation and Prediction of Childhood Diarrheal Disease Burden in Kenya, Somaliland, and Zimbabwe","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.06.03.26354823","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.03.26354823","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8860486/v1","name":"A Digital Twin-Integrated Framework for Dual Insider and External Cyber Threat Detection in Critical Infrastructure","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8860486/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8860486/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.64898/2026.05.27.728028","name":"EndoTwin-W: glycodelin-A and CA-125 as non-invasive biomarkers of endometrial receptivity derived from a multiscale computational digital twin","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.05.27.728028","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.27.728028","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.03.09.710685","name":"A Dynamical Digital Twin Unmasks Hidden Neuromotor Control Policies and Catastrophic Tipping Points in Parkinson’s Disease","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.09.710685","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.09.710685","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202605.0293.v1","name":"A Zero-Cost Digital Twin Framework for Sustainable Manufacturing Education Integrating SAP, Node-RED, and AI-Based Decision Support","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.0293.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0293.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202601.1756.v1","name":"Digital Twin Building Blocks for Designing A Generic City-Wide Data Exchange Platform","source":"preprints","abstract":"Digital Twin (DT) technology has become a critical component of smart city evolution, providing real-time analytics, predictive modelling, and operational efficiency enhancements. The goal of this paper is to explore the opportunities and barriers for a city-wide data exchange platform to establish the principles for a Federated DT (FDT) development to serve the integration of sector-specific DT applications to create a cohesive urban intelligence framework. The paper investigates the topic of federated data exchange in a smart city context and how interoperability among the use cases of DTs can be achieved. Two system architectures for a Data Exchange Platform have been explored, including layered and composable FDT approaches. The composable architecture has been chosen for the platform implementation to ensure interoperability, scalability, and security in real-time data exchange. The composable architecture is essentially a microservices-driven framework with self-contained components that have clear functionalities and provides the greatest flexibility for future development of the FDT Data Exchange Platform. By employing a range of microservices, the composable architecture can ensure modularity, scalability, and flexibility, making it easier to manage, update, and extend the platform to accommodate additional DTs for evolving city needs, urban management and decision-making. However, this comes at the cost of increased issues around security and governance of interfaces. The platform has been tested by 5 DTs designed by 4 Universities located in Birmingham, UK and Ulsan, South Korea. For the design of the platform, nine common elements have been identified as “building blocks” analysing the DT use cases in a sandbox environment called the Diatomic Azure DT Development Platform. These common building blocks are 3D Visualisation, Asset Management, Predictive Analytics, Artificial Intelligence, Machine Learning, Authorisation Methods, Access Control, API, and Sensors. These building blocks have been later validated by the use cases presented by 8 SMEs developing DTs. The initial results confirm that the identified building blocks are sufficient for the development of DTs to create a generic city-wide data exchange platform. These results provide insights for DT adoption by de-risking investment and targeted resources required for smart city development. The scope of this paper is limited with smart city applications but the proposed FDT system architecture should be applicable to any domain.","url":"https://doi.org/10.20944/preprints202601.1756.v1","authors":["Manolya Kavakli-Thorne"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.1756.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202601.1295.v1","name":"Risk Simulation and Security Boundary Assessment of Avionics Systems Using Digital Twin Techniques","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.1295.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.1295.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.64898/2026.04.28.26351471","name":"Artificial Intelligence, LLM-based generation of synthetic patients with Parkinson’s Disease: towards a digital twin paradigm for in silico studies","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.04.28.26351471","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.04.28.26351471","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10221324/v1","name":"Thermographic Digital Twin for Proactive Fire-Risk Prediction in Legacy Residential Electrical Installations: A Systematic Review and Transferability Framework for Ageing Housing and Buildings in Peru","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10221324/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10221324/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-9600410/v1","name":"A Closed-Loop Stroke Digital Twin: Integrating BCI-Derived Electrophysiology and Spatiotemporal Multi-Omics via Transformer-GNN Fusion Networks","source":"preprints","abstract":"Abstract Background Even with optimal secondary prevention, the residual risk of recurrent ischemic stroke remains clinically significant: epidemiological data indicate that approximately one in six patients experiences a recurrent ischemic event within five years [1, 3, 49]. Conventional risk stratification tools rely on cross-sectional data, which precludes detection of the continuous molecular and electrophysiological changes that precede recurrent events. Ferroptosis—an iron-dependent, lipid peroxidation-driven form of regulated cell death—and the downstream failure of SIRT1/PGC-1α-mediated mitochondrial biogenesis have emerged as mechanistically important but clinically unmonitored contributors to this residual risk. Methods We developed M4-RIS (Multimodal Multi-timescale Recurrence Ischemic Stroke), a closed-loop Stroke Digital Twin framework integrating two sensing layers: a low-frequency biochemical layer employing spatial transcriptomics and longitudinal UPLC-MS/MS multi-omics to quantify ferroptosis-related metabolic flux [5, 6], and a high-frequency physical layer deploying non-invasive brain-computer interfaces (BCI; high-density EEG) to extract electrophysiological microstates. A multimodal fusion deep neural network (MF-DNN) combining Transformer and Graph Neural Network (GNN) architectures decoded the cross-modal electro-metabolic interactions, with SHapley Additive exPlanations (SHAP) providing patient-level interpretability. Results In a prospective cohort of 428 patients with acute ischemic stroke, the MF-DNN achieved an AUC of 0.91 (95% CI: 0.88–0.94) for one-year recurrence prediction, substantially outperforming established clinical scores. SHAP analysis identified dysregulation of the AMPK/SIRT1/PGC-1α axis and accompanying lipid peroxidation as the dominant prognostic determinants [16, 17, 18]. In the closed-loop neuromodulation subgroup, electroacupuncture at ST36 activated PROKR2Cre-marked somatosensory neurons [26], engaging the vagal-adrenal axis to suppress systemic inflammation; patients in whom this intervention normalised EEG microstate C duration showed a concurrent reduction in circulating 4-HNE concentrations. Conclusions Fusing multi-timescale biosensing with interpretable deep learning establishes a mechanistic foundation for proactive, data-driven secondary stroke prevention. The M4-RIS framework advances clinical management from episodic, static observation toward continuous, closed-loop intervention guided by individual biological trajectories. Pending multi-centre validation, this approach offers a concrete and practically achievable pathway toward reducing the residual recurrence risk that current standard-of-care therapies have been unable to eliminate.","url":"https://doi.org/10.21203/rs.3.rs-9600410/v1","authors":["Shiyang Liu","Meixiang Sun","Hui Liu","Yu Wang","Fang Zhang","Nan Li","Peiyang Sun"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9600410/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10216961/v1","name":"From Splits to Heat Strain: A Ten-Year Analysis of Performance Determinants and a Digital Twin Prototype for Olympic-Distance Triathlon Developed Using a Generative AI Workflow","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10216961/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10216961/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202603.0604.v1","name":"Toward Intelligent and Resilient Public Safety Communications: A Review of FirstNet, 5G, AI, and Digital Twin Technologies","source":"preprints","abstract":"Reliable and resilient communication systems are essential for first responders, enabling quick coordination and effective emergency responses. However, traditional communication networks often encounter congestion, interoperability problems, and failures during large-scale disasters. To address these challenges, specialized networks like FirstNet have been developed, leveraging advancements in LTE and 5G, as well as priority access mechanisms, to enhance reliability and coverage. This paper examines the technological advancements in first-responder communication systems, highlighting the limitations of legacy networks and the enhancements offered by modern solutions. We examine key components, including network prioritization, spectrum allocation, and integration with AI-driven traffic management. Additionally, this study assesses the role of digital twins in bolstering network resilience and fault tolerance for emergency communications. By synthesizing recent advancements, this research provides insights into future developments and policy considerations necessary to ensure a seamless and robust communication infrastructure for first responders.","url":"https://doi.org/10.20944/preprints202603.0604.v1","authors":["Dileesh Chandra Bikkasani"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.0604.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-9332277/v1","name":"DT-AOF: A Digital Twin–Driven Adaptive Optimization Framework for Power Infrastructure Monitoring under Uncertain Operating Conditions","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9332277/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9332277/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-9046097/v1","name":"Towards Fire Digital Twin: Deep Learning Approach to Predicting Spatiotemporal Distribution of Fire Hazard Information","source":"preprints","abstract":"Abstract Accurately understanding the spatiotemporal distribution of key hazardous factors in fire scenes assists firefighters in making more informed decisions. This study developed a hybrid deep learning framework combining Long Short-Term Memory networks (LSTM) and Convolutional Neural Networks (CNN) to quickly identify fire source locations and incorporate fire source spatial information into the spatiotemporal prediction of hazardous factors. For fire source location identification, under a 1-second sampling interval, the average absolute error of the sensor's fire source coordinates was consistently below 0.1 meters. In the real-time monitoring of carbon monoxide, oxygen, and carbon dioxide, the CNN-LSTM model, after integrating non-temporal data such as fire source spatial information, significantly outperformed the baseline model in accuracy, achieving minimum normalized root mean square errors of 0.0333, 0.0402, and 0.0347, respectively. Moreover, in advance predictions up to 150 seconds before the fire scene, the model maintained extremely high levels of accuracy. Sensitivity analysis of sensor performance found that the accuracy of fire prediction can be attributed to the sampling interval, and compact time-series data can significantly improve prediction accuracy. This study has important practical significance for firefighters in formulating more reliable rescue plans.","url":"https://doi.org/10.21203/rs.3.rs-9046097/v1","authors":["Zenghui Liu","Guanhua Qu","Ming Yan","Lan Wang","Xin Liu","Gang Liu"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9046097/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.22541/au.176836329.90098763/v1","name":"Research on Tool Condition Monitoring and Health Management of CNC Machine Tools Based on Digital Twin","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.176836329.90098763/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/au.176836329.90098763/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202601.1217.v1","name":"A Cloud-Edge Digital Twin Architecture for Adaptive Battery Health Management in Sustainable Transport Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202601.1217.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.1217.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-8524772/v1","name":"Digital Twin Platform for Accelerating Optimization of Oxide Semiconductor Transistors to Overcome Fundamental Performance-Reliability Trade-off","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8524772/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8524772/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-10244577/v1","name":"From Instrumented Towers to Vulnerable Blocks: A Physics-Informed Federated Edge Digital-Twin Framework for Translational Seismic Damage Assessment in Andean Emerging Economies (NSET-Andes)","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10244577/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10244577/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10587643/v1","name":"Self-Evolving Digital Twin for Zero-Defect Manufacturing Using Physics-Informed Reinforcement Learning and Multi-Agent Artificial Intelligence: A Case Study on Five-Axis Milling of Ti-6Al-4V.","source":"europepmc","abstract":"Abstract Achieving zero-defect production in five-axis machining of aerospace titanium alloys remains difficult because process dynamics change continuously as tools wear, thermal fields evolve, and vibration modes shift with tool orientation. Conventional digital twins, built once from calibrated physics models or offline-trained data models, degrade in fidelity as these conditions drift away from the calibration point, and by the time a defect appears in the finished part it is too late to intervene. This paper proposes a self-evolving digital twin architecture that unifies physics-informed machine learning, deep reinforcement learning, and multi-agent coordination into a single closed-loop system capable of predicting defects before they occur and adjusting machining parameters in real time. The digital twin embeds governing equations of cutting mechanics, heat conduction, and tool wear directly into the loss function of a graph-structured neural network, so that the surrogate model remains physically consistent even when sensor coverage is sparse. A Bayesian model-updating layer continuously re-estimates uncertain physical parameters (friction coefficient, thermal softening exponent, wear rate constant) from streaming force, vibration, acoustic emission, and temperature signals, allowing the twin to evolve its internal representation without full retraining. On top of this twin, a soft actor-critic reinforcement learning agent, constrained by physics-derived safety filters, searches the feasible space of feed rate, spindle speed, depth of cut, and tool axis inclination to jointly minimize surface roughness deviation, tool wear rate, specific cutting energy, and cycle time. A three-agent coordination layer (quality agent, energy agent, and productivity agent) negotiates a Pareto-consistent operating point at each control interval using a weighted Nash bargaining rule, resolving conflicts that a single scalarized objective cannot represent. The framework is evaluated on a numerical case study of five-axis ball-end milling of Ti-6Al-4V, calibrated against published cutting-force, temperature, and tool-wear data for this alloy. Compared against five baseline strategies (fixed Taguchi-optimized parameters, classical model predictive control, a pure data-driven LSTM predictor, single-agent deep Q-network control, and a physics-only finite element digital twin without learning), the proposed framework reduces surface roughness variance by 41.3%, cuts tool wear rate by 27.8%, lowers specific cutting energy by 19.6%, and reduces defect escape rate from 6.4% to 0.7% over a simulated 500-part production campaign, with all improvements significant at the 0.01 level under paired t-tests and Wilcoxon signed-rank tests. The paper details the mathematical formulation, algorithmic implementation, simulation protocol across ANSYS, MATLAB, Python, and Siemens NX, and discusses industrial deployment implications, limitations, and directions for experimental validation.","url":"https://doi.org/10.21203/rs.3.rs-10587643/v1","authors":["MD AZIZUL HAKIM ABIR","BONDHON PAUL"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10587643/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-8670931/v1","name":"A Digital Twin with Transfer Learning Enables Cross-Anatomical Forecasting of Postmortem Microbiome Dynamics for PMI Estimation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8670931/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8670931/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.21203/rs.3.rs-10375134/v1","name":"Desilting 4.0: A Sky–Land–Water–AI Digital-Twin Framework for Low-Emission Multi-Contaminant Co-Solidification and Machine-Learning Foresight in El Niño-Ready Andean Rivers and Lagoons","source":"europepmc","abstract":"Abstract Descolmatation (desilting) of Andean rivers and lagoons in Peru routinely encounters sediment that is jointly loaded with heavy metals and organic pollutants, a co-contamination pattern that conventional single-binder, single-contaminant remediation designs do not address. This Method Article synthesizes documented, DOI-verified evidence on (i) low-emission composite binders (ground granulated blast-furnace slag, fly ash, carbide slag and organic amendments) and their micro-scale immobilization mechanisms, (ii) multi-model machine-learning (ML) ensembles for forecasting unconfined compressive strength (UCS) and leachability trends in stabilized soils and sediments, (iii) an integrated Sky–Land–Water–AI monitoring architecture adapted from space–air–ground remote-sensing networks documented for Chinese river basins, and (iv) co-solidification strategies for simultaneous heavy-metal and organic-contaminant immobilization documented in Chinese case studies. Building on this evidence base, the article proposes an integrated engineering framework formalized through four governing relations: an exponential strength–binder-ratio law, a solid–liquid partition/immobilization coefficient for co-contaminants, a weighted multi-model ML ensemble equation for trend forecasting, and a carbon-footprint reduction metric. A comparative matrix contrasts documented Asian (predominantly Chinese) full-scale and pilot practice against a proposed low-cost, solar-powered, modular configuration adapted to the topography, intermittent grid access and El Niño-driven hydrological variability of Andean rivers and lagoons in Peru, illustrated with documented water-quality evidence from the Rimac and Ichu river basins. As of mid-2026, Peru's National Committee for the Study of the El Niño Phenomenon (ENFEN) and the World Meteorological Organization have flagged a high probability of an El Niño event with intensified rainfall and riverbed sedimentation, which motivates the urgency of scalable descolmatation technology. The framework is presented as a design-and-synthesis proposal rather than a validated field trial; pilot-scale validation with Peruvian field data is identified as the necessary next step. No human or animal subjects were involved, and no primary biological or clinical data were collected.","url":"https://doi.org/10.21203/rs.3.rs-10375134/v1","authors":["PAUL RICARDO PRUDENCIO GALVEZ"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10375134/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8542145/v1","name":"Physics-driven Digital Twin Based Architecture of Wire Arc Additive Manufacturing Enabled by Fast Surrogate Calculations","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8542145/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8542145/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-9150618/v1","name":"ns-3 Based High-Fidelity Simulation of an Internet of Battlefield Things Network for IFF Reliability Study and Digital Twin Candidate Assessment","source":"preprints","abstract":"Abstract We report an ns-3 simulation of an IoBT network built to quantify IFF reliability under terrain-heterogeneous LoRaWAN propagation. The testbed models a 10 × 10 km battlespace with 200 Class A end-devices, hexagonal gateway grids at five inter-gateway separations (200–7000 m), and nine terrain classes whose path-loss exponents (n = 1.8 to 4.4) come from published LoRa field measurements. A custom event-level logger captures every transmission and gateway reception at millisecond resolution; the consolidated dataset covers 3.26 × 10⁵ communication events across 45 independent campaigns. We additionally examine whether the simulation qualifies as a digital twin under the Grieves–Vickers taxonomy. It satisfies physical fidelity and state completeness, but lacks real-time synchronisation with a deployed network and full bidirectional control. We therefore label it a digital twin candidate: the fidelity prerequisites for twinning are met, and the architecture does not preclude real-time coupling once a physical IoBT testbed becomes available.","url":"https://doi.org/10.21203/rs.3.rs-9150618/v1","authors":["Anurag Dhar","Rachit Ahluwalia","Santosh Kumar"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9150618/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10475510/v1","name":"Cyber-Physical Orchestration of Emergency Department Services Through a Bidirectional Digital Twin and a Deep Reinforcement Learning Agent: Architectural Design, In SilicoValidation, and Critical Analysis of Performance Under Demand Stress","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10475510/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10475510/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202602.1643.v1","name":"Digital Twin Technology and Process Validation in Pharmaceutical Manufacturing:Bridging Virtual Simulation and Regulatory Compliance for Next-Generation Drug Production","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.1643.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.1643.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-8941768/v1","name":"Real Time Predictive Maintenance of Collaborative Robotic Arms Using a Physics Informed Digital Twin and Agentic Edge Computing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8941768/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8941768/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202601.1149.v1","name":"A Transferable Digital Twin-Driven Process Design Approach for Surface Roughness Prediction in Multi-Jet Polishing","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.1149.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.1149.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.22541/au.177196116.61278221/v1","name":"DigiCaM: Digital Twin-Assisted Cognitive Spectrum Sharing for 6G Coexistence with Passive FSS Receivers in 12 GHz Band","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.177196116.61278221/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/au.177196116.61278221/v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"doi:10.20944/preprints202602.0544.v1","name":"Resilient Cultural Heritage Engineering Through Nano-Enhanced Materials and Intelligent Digital Twin Ecosystems Across Structural Scales","source":"preprints","abstract":"Cultural heritage sites worldwide face escalating threats from climate change, urbanization, and material degradation, necessitating innovative, resilient engineering solutions. This paper introduces a transformative interdisciplinary framework that synergistically integrates civil engineering's nano-enhanced materials such as graphene oxide consolidate and nano-silica infusions with computer science's intelligent digital twin ecosystems. These technologies enable adaptive conservation across structural scales, from molecular-level artifact repairs to comprehensive building-wide retrofitting.Nano-enhanced materials provide superior mechanical reinforcement, self-healing properties, and environmental resistance, restoring structural integrity without altering aesthetic authenticity. Concurrently, digital twins leverage IoT sensors, AI-driven simulations, and BIM models to create real-time virtual replicas, facilitating predictive maintenance, degradation forecasting, and optimized material deployment. The proposed hybrid methodology employs simulation-calibrated workflows to minimize invasive interventions, ensuring data interoperability and scalability.Case studies from Italian frescoes and historic bridges demonstrate lifespan extensions of 30-50% through nano-consolidation monitored by twin analytics. Despite challenges like nanomaterial scalability and data privacy, this approach pioneer’s sustainable heritage preservation. Future directions emphasize blockchain integration for provenance tracking and ethical AI governance, offering policymakers a blueprint for resilient cultural engineering in the digital era.","url":"https://doi.org/10.20944/preprints202602.0544.v1","authors":["Mohamed Meera Maidheen M."],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0544.v1","addedAt":"2026-09-01T01:47:32.424Z","updatedAt":"2026-09-01T01:47:38.996Z"},{"id":"oa:W4400138071","name":"Optimization Method of CNC Machining Parameters Based on Digital Twin","source":"openalex","abstract":"This article mainly discusses the optimization methods of machining parameters for CNC machine tools. Firstly, based on the functional requirements and application scenarios of CNC machining, three-dimensional modeling and motion simulation of twin machine tools are achieved, and a data-driven cutting process model is constructed. Then, in the actual production process, in addition to ensuring the normal processing of physical equipment such as CNC machine tools, the design of data perception schemes and the layout of data acquisition equipment during the processing were also completed, providing data support for information exchange between digital twins and real equipment. In terms of data transmission, the operation data of the entire CNC machine tool processing process is collected through the data perception layer equipment, and all perception data is then uploaded to the virtual space through the communication network of the transmission layer to drive the twin model for subsequent simulation, optimization, and prediction. Finally, based on the results of data collection, an objective function that needs to be optimized was established in the optimization process of CNC machining parameters. The objective function takes the total processing time and processing cost as optimization objectives, and an improved bee colony algorithm is used to solve the objective function. Through experimental simulation, it has been found that the use of CNC machine tool processing parameters can improve both time and processing costs, and the optimization results meet the design expectations.","url":"https://doi.org/10.53106/199115992024063503021","authors":["Hao-Sheng Lu Hao-Sheng Lu","Yan Lu Hao-Sheng Lu","Hui-Xin Li Yan Lu","J. Li","Haiying Zhang","Shu-Ying Wang Hai-Ying Wang","Dong-Hua Lu Shu-Ying Wang","Ying Liu Dong-Hua Lu"],"tags":["Numerical control","Machining","Process (computing)","Computer science","Function (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-01","doi":"https://doi.org/10.53106/199115992024063503021","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4407896696","name":"Digital Wellness Programs in the Workplace: Meta-Review","source":"openalex","abstract":"BACKGROUND: Corporate wellness programs are increasingly using digital technologies to promote employee health. Digital wellness programs (DWPs) refer to initiatives that deliver health interventions through digital tools. Despite a growing body of evidence on DWPs, the literature remains fragmented across multiple health domains. OBJECTIVE: This study aims to provide a comprehensive synthesis of existing research on the efficacy (eg, impact on employee's physical health, mental well-being, behavioral changes, and absenteeism) and acceptability (eg, engagement, perceived usefulness, and adoption) of employer-provided DWPs. Specifically, we aim to map the extent, range, and nature of research on this topic; summarize key findings; identify gaps; and facilitate knowledge dissemination. METHODS: We conducted a meta-review of studies published between 2000 and 2023. We adopted a database-driven search approach, including the MEDLINE, PsycINFO, ProQuest Central, and Web of Science Core Collection databases. The inclusion criteria consisted of (1) review articles; (2) publications in English, French, or German; (3) studies reporting on digital health interventions implemented in organizations; (4) studies reporting on nonclinical or preclinical employee populations; and (5) studies assessing the efficacy and acceptability of employer-provided DWPs. We performed a descriptive numerical summary and thematic analysis of the included studies. RESULTS: Out of 593 nonduplicate studies screened, 29 met the inclusion criteria. The most investigated health domains included mental health (n=19), physical activity (n=8), weight management (n=6), unhealthy behavior change (n=4), and sleep management (n=2). In total, 24 reviews focused on the efficacy of DWPs, primarily in relation to health-related outcomes (eg, stress and weight), while fewer reviews addressed organization-related outcomes (eg, burnout and absenteeism). Four reviews explored the mechanisms of action, and 3 assessed the acceptability of DWPs using various measures. Overall, the findings support the efficacy and acceptability of DWPs, although significant gaps persist, particularly regarding the durability of outcomes, the role of technology, and the causal mechanisms underlying behavioral change. CONCLUSIONS: While DWPs show promise across a variety of health domains, several aspects of their effectiveness remain underexplored. Practitioners should capitalize on existing evidence of successful DWPs while acknowledging the limitations in the literature.","url":"https://doi.org/10.2196/70982","authors":["Saeed Amirabdolahian","Guy Paré","Stefan Tams"],"tags":["Preprint","Digital health","Meta-analysis","Internet privacy","MEDLINE"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-24","doi":"https://doi.org/10.2196/70982","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416953562","name":"Digital Twin–Based Simulation and Decision-Making Framework for the Renewal Design of Urban Industrial Heritage Buildings and Environments: A Case Study of the Xi’an Old Steel Plant Industrial Park","source":"openalex","abstract":"In response to the coexistence of multi-objective conflicts and environmental complexity in the renewal of contemporary urban industrial heritage, this study develops a simulation and decision-making methodology for architectural and environmental renewal based on a digital twin framework. Using the Xi’an Old Steel Plant Industrial Heritage Park as a case study, a community-scale digital twin model integrating multiple dimensions—architecture, environment, population, and energy systems—was constructed to enable dynamic integration of multi-source data and cross-scale response analysis. The proposed methodology comprises four core components: (1) integration of multi-source baseline datasets—including typical meteorological year data, industry standards, and open geospatial information—through BIM, GIS, and parametric modeling, to establish a unified data environment for methodological validation; (2) development of a high-performance dynamic simulation system integrating ENVI-met for microclimate and thermal comfort modeling, EnergyPlus for building energy and carbon emission assessment, and AnyLogic for multi-agent spatial behavior simulation; (3) establishment of a comprehensive performance evaluation model based on Multi-Criteria Decision Analysis (MCDA) and the Analytic Hierarchy Process (AHP); (4) implementation of a visual interactive platform for design feedback and scheme optimization. The results demonstrate that under parameter-calibrated simulation conditions, the digital twin system accurately reflects environmental variations and crowd behavioral dynamics within the industrial heritage site. Under the optimized renewal scheme, the annual carbon emissions of the park decrease relative to the baseline scenario, while the Universal Thermal Climate Index (UTCI) and spatial vitality index both show significant improvement. The findings confirm that digital twin-driven design interventions can substantially enhance environmental performance, energy efficiency, and social vitality in industrial heritage renewal. This approach marks a shift from experience-driven to evidence-based design, providing a replicable technological pathway and decision-support framework for the intelligent, adaptive, and sustainable renewal of post-industrial urban spaces. The digital twin framework proposed in this study establishes a validated paradigm for model coupling and decision-making processes, laying a methodological foundation for future integration of comprehensive real-world data and dynamic precision mapping.","url":"https://doi.org/10.3390/buildings15234367","authors":["Yian Zhao","Kun Li","Weiping Zhang"],"tags":["Engineering","Architectural engineering","Industrial park","Baseline (sea)","Geospatial analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-02","doi":"https://doi.org/10.3390/buildings15234367","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4412646300","name":"From Process Simulation to Digital Twin: Custom Gasifier Modelling, Complex Kinetics and Optimisation in AVEVA Process Simulation","source":"openalex","abstract":"ABSTRACT This study demonstrates the potential of AVEVA Process Simulation (APS) as a platform for developing process engineering digital twins, integrating customised process models, simulation, and optimisation into a unified environment. A custom gasifier model was built within APS, incorporating thermodynamic equilibrium and empirical corrections to enhance predictive accuracy, and validated against experimental data. Various gasification scenarios were simulated to evaluate the influence of equivalence ratio, biomass moisture, and temperature on syngas composition and process performance. APS's flexibility in handling complex kinetic systems was showcased through the implementation of a fugacity‐based kinetic model for methanol synthesis, which deviates from traditional Langmuir‐‐Hinshelwood reaction rates. Notably, APS accepts reaction rates in any mathematical form without the need for adaptation to predefined formats, enabling the seamless implementation of unconventional kinetic expressions. Systematic scenario analysis using APS's case study feature explored the effects of temperature, pressure, and feed composition on methanol yield, identifying optimal ratios and the adverse impact of excess . Finally, multi‐variable optimisation was performed to maximise methanol production by simultaneously tuning key operating variables. The results highlight APS's capability not only as an advanced process simulator but as a foundational tool for creating predictive adaptable digital twins that support process design, optimisation, and decision‐making across the process lifecycle.","url":"https://doi.org/10.1049/dgt2.70009","authors":["Geisiane Rodrigues Pereira","Heleno Bispo","Thiago V. Costa","Sérgio Mauro da Silva Neiro"],"tags":["Process (computing)","Computer science","Wood gas generator","Process simulation","Dynamic simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/dgt2.70009","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4398221321","name":"Behavioral Modeling and Digital Predistortion for Power Amplifier Based on the Sparse Smooth Twin Support Vector Regression Method","source":"openalex","abstract":"In this paper, a sparse smooth twin support vector regression (Sparse‐STSVR) model for power amplifier (PA) behavioral modeling is obtained by pruning the kernel matrix based on Cholesky decomposition. Based on the primal smooth twin support vector regression (STSVR) model, the Nystrom approximate matrix of the kernel matrix is found to replace the original kernel matrix, thus simplifying the Newton iterative parameter extraction process of the primal STSVR model and accelerating the convergence of the algorithm. In addition, the new rank approximation kernel matrix has the characteristic of sparse parameters, which further reduces the computational complexity of the feedforward link of the digital predistorter. The 100 MHz 5G New Radio (NR) signal is used for verify the effect of PA modeling and digital predistortion (DPD) experiment. The results show that the proposed method can improve the normalized mean square error (NMSE) by about 2 ~ 3 dB with fewer coefficients compared with the previously proposed machine learning model, and the predistortion linearization effect improves by nearly 3 dB on the adjacent channel power ratio (ACPR), which achieves a good trade‐off between model performance and computational complexity. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","url":"https://doi.org/10.1002/tee.24095","authors":["Changzhi Xu","Min Su","Songlin Jia","Xiaoyu Wang","Jinzhi Ning","Mingyu Li"],"tags":["Predistortion","Amplifier","Computer science","Support vector machine","Power (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-21","doi":"https://doi.org/10.1002/tee.24095","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403446806","name":"From Multiple Digital Twins to a Multi-Faceted Digital Twin: Towards an AAS-Based Approach","source":"openalex","abstract":"Digital Twin, the technological advance that has emerged in the Industry 4.0 era, will become one of the six technological pillars forming Industry 5.0, according to the vision of the European Commission. This promotion relies on the fact that digital-twin technologies are getting more mature and widely adopted in both the public and private sectors. Besides the progressions, a new challenge has arisen: harmonizing multiple digital twins in a single digital twin system. Indeed, digital twins built on different technologies addressing different aspects of an asset are not interoperable by default, making the interaction between them uneasy. Moreover, as an asset must have a connection with each digital twin for data exchange, its multiple connections with multiple digital twins may cause the asset itself and the involved network infrastructures to be overloaded. Regarding the above challenge, this paper proposes an approach based on the Asset Administration Shell (AAS) standard to harmonize multiple digital twins as a single digital twin with multiple facets.","url":"https://doi.org/10.1109/etfa61755.2024.10711123","authors":["Quang-Duy Nguyen","Yining Huang","Guéréguin Der Sylvestre SIDIBE","Saadia Dhouib"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-10","doi":"https://doi.org/10.1109/etfa61755.2024.10711123","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402962692","name":"An Overview of Digital Transformation and Environmental Sustainability: Threats, Opportunities and Solutions","source":"openalex","abstract":"Digital transformation, powered by technologies like AI, IoT, and big data, is reshaping industries and societies at an unprecedented pace. While these innovations promise smarter energy management, precision agriculture, and efficient resource utilization, they also introduce serious environmental challenges. This paper examines the dual impact of digital technologies, highlighting key threats such as rising energy consumption, growing e-waste, and increased extraction of raw materials. For instance, global e-waste reached 62 million metric tons in 2022, and data centers alone accounted for nearly 1% of the world's electricity demand in 2019. The review synthesizes findings from studies on topics like the energy use of blockchain technologies and the environmental costs of raw material extraction in the smartphone industry. Moreover, it identifies critical research gaps, particularly in understanding the environmental impact of digital usage at individual and household levels. Practical strategies such as integrating circular economy principles, promoting renewable energy, and green computing are proposed to balance technological advancement with sustainability goals. This study highlights the need for a holistic approach, suggesting future research directions to minimize digital transformation’s environmental footprint while maximizing its sustainability benefits.","url":"https://doi.org/10.20944/preprints202409.2340.v1","authors":["Apurva Goel","Snehal Masurkar","G.R. Pathade"],"tags":["Sustainability","Digital transformation","Transformation (genetics)","Environmental planning","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-29","doi":"https://doi.org/10.20944/preprints202409.2340.v1","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7131365077","name":"Digital-twin–driven urban lifecycle paradigm: evidence from the Singapore–Nanjing eco Hi-Tech Island","source":"openalex","abstract":"Digital twin (DT) technologies are increasingly promoted for smart-city governance, yet many deployments remain fragmented and fail to support integrated lifecycle operations across planning, construction, and long-term management. This study proposes a digital-twin–driven urban lifecycle paradigm and examines its city-scale implementation through a structured case study of the Singapore–Nanjing Eco Hi-Tech Island. The study synthesizes a five-layer technical architecture encompassing sensing, data platforms, analytical modeling, service integration, and application scenarios, and organizes eight digital twin application domains spanning governance, community, education, transportation, industrial parks, ecology, security, and tourism. To demonstrate the scale and operational trajectory of the implementation, the paper reports phased quantitative deployment targets and lifecycle indicators (2020–2030), including environmental monitoring coverage, digital infrastructure penetration, public service integration, and governance digitalization. By linking scenario-based demand–supply data matching with lifecycle-oriented indicators, the case illustrates how digital twins can function as an enabling infrastructure for coordinated urban governance beyond isolated pilot projects. The findings offer transferable design and implementation insights for cities seeking to operationalize digital twins at the city scale.","url":"https://doi.org/10.3389/frsc.2026.1733281","authors":["Qing Lu","Hao Li"],"tags":["Operationalization","Software deployment","Process management","Business","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-25","doi":"https://doi.org/10.3389/frsc.2026.1733281","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4415648041","name":"Mixed Reality-Based Multi-Scenario Visualization and Control in Automated Terminals: A Middleware and Digital Twin Driven Approach","source":"openalex","abstract":"This study presents a Digital Twin–Mixed Reality (DT–MR) framework for the immersive and interactive supervision of automated container terminals (ACTs), addressing the fragmented data and limited situational awareness of conventional 2D monitoring systems. The framework employs a middleware-centric architecture that integrates heterogeneous subsystems—covering terminal operation, equipment control, and information management—through standardized industrial communication protocols. It ensures synchronized timestamps and delivers semantically aligned, low-latency data streams to a multi-scale Digital Twin developed in Unity. The twin applies level-of-detail modeling, spatial anchoring, and coordinate alignment (from Industry Foundation Classes (IFCs) to east–north–up (ENU) coordinates and Unity space) for accurate registration with physical assets, while a Microsoft HoloLens 2 device provides an intuitive Mixed Reality interface that combines gaze, gesture, and voice commands with built-in safety interlocks for secure human–machine interaction. Quantitative performance benchmarks—latency ≤100 ms, status refresh ≤1 s, and throughput ≥10,000 events/s—were met through targeted engineering and validated using representative scenarios of quay crane alignment and automated guided vehicle (AGV) rerouting, demonstrating improved anomaly detection, reduced decision latency, and enhanced operational resilience. The proposed DT–MR pipeline establishes a reproducible and extensible foundation for real-time, human-in-the-loop supervision across ports, airports, and other large-scale smart infrastructures.","url":"https://doi.org/10.3390/buildings15213879","authors":["Yubo Wang","Enyu Zhang","Ang Yang","Kejun Du","Jing Gao"],"tags":["Computer science","Situation awareness","Visualization","Interface (matter)","Pipeline (software)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-27","doi":"https://doi.org/10.3390/buildings15213879","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399156992","name":"Digital Economy Development, Rural Land Certification, and Rural Industrial Integration","source":"openalex","abstract":"Rural industrial integration refers to the process of relying on technological innovation and industrial model innovation to promote the optimal allocation of factors such as land, capital, and labor in rural areas, promote the optimization of a rural industrial structure, rural property rights stability, agricultural and rural development, and ultimately achieve the extension of the agricultural industry chain and improvements in farmers’ income levels. In order to grasp the mechanism of digital economy and rural land certification on rural industrial integration, this paper analyzes the impact of digital economy development and rural land certification on rural industrial integration based on the 2011–2021 panel data of the Yangtze River Economic Belt at the municipal level. Research has shown the following. (1) The early development of the digital economy significantly promoted the integration of rural industries. After overcoming the turning point of the digital economy, the digital economy has a restraining effect on the integration of rural industries; in terms of controlling variables, the education level of rural residents, regional economic development level, per capita disposable income of rural residents, and rural power generation all significantly promote the process of rural industrial integration. (2) Rural land certification has played a positive transmission role by confirming, reviewing, and registering land ownership in accordance with the law, clarifying the ownership of land rights, providing a stable property rights foundation for rural industrial integration, and effectively promoting rural industrial integration. (3) The impact of the digital economy on rural industrial integration has a single threshold effect, and after crossing the threshold value of a rural population, the positive impact of the digital economy on industrial integration is more significant. (4) The development of the digital economy has significantly improved the integration level of rural industries in this region and neighboring areas. The above conclusions have important policy implications for further leveraging the digital economy to promote the integration of rural industries and the modernization of agriculture and rural areas.","url":"https://doi.org/10.3390/su16114640","authors":["Mingyi Yan","Xizi Cao"],"tags":["Business","Rural economics","Certification","Economic growth","Rural area"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-30","doi":"https://doi.org/10.3390/su16114640","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4390419736","name":"Integration of Digital Twins and Artificial Intelligence for Classifying Cardiac Ischemia","source":"openalex","abstract":"Despite advances in intelligent medical care, difficulties remain. Due to its complicated governance, designing, planning, improving, and managing the cardiac system remains difficult. Oversight, including intelligent monitoring, feedback systems, and management practises, is unsuccessful. Current platforms cannot deliver lifelong personal health management services. Insufficient accuracy in patient crisis warning programmes. No frequent, direct interaction between healthcare workers and patients is visible. Physical medical systems and intelligent information systems are not integrated. This study introduces the Advanced Cardiac Twin (ACT) model integrated with Artificial Neural Network (ANN) to handle real-time monitoring, decision-making, and crisis prediction. THINGSPEAK is used to create an IoT platform that accepts patient sensor data. Importing these data sets into MATLAB allows display and analysis. A myocardial ischemia research examined Health Condition Tracking’s (HCT’s) potential. In the case study, 75% of the training sets (Xt), 15% of the verified data, and 10% of the test data were used. Training set feature values (Xt) were given with the data. Training, Validation, and Testing accuracy rates were 99.9%, 99.9%, and 99.9%, respectively. General research accuracy was 99.9%. The proposed HCT system and Artificial Neural Network (ANN) model gather historical and real-time data to manage and anticipate cardiac issues.","url":"https://doi.org/10.32604/jai.2023.045199","authors":["Mohammed E. Ammar","Hamed Al‐Raweshidy"],"tags":["Artificial neural network","Computer science","Artificial intelligence","MATLAB","Feature (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.32604/jai.2023.045199","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7165545201","name":"Effects of Big Data, Mechanical System Flexibility, IOT and Digital Twin Adoption on Company Resilience and Operational Performance","source":"openalex","abstract":"Purpose: The main purpose of this paper is to examine the effect of mechanical digital twin, mechanical system flexibility, IoT, and big data analytics on operational performance. The study also examined the mediating effect of organizational resilience in the proposed framework. Design/ method/ approach: The present research adopted a quantitative approach and survey methods to gather responses from respondents. The population of the study consisted of employees working in organizations. Convenience sampling was used for the collection of responses. A total of 202 responses were used for analysis purposes. AMOS was used for assessment of analysis. Findings: Results showed that organizational resilience has positive effect on operational performance. Moreover, IoT, Big data analytics capability, mechanical digital twin, and mechanical system flexibility have positive effect on operational performance. Findings also supported mediating effect of organizational resilience. Originality: Present study adds to the body of literature by exploring mediating role of organizational resilience.","url":"https://doi.org/10.31181/rme524","authors":["Mohammed A. Al Doghan","Anvar Absamatov"],"tags":["Resilience (materials science)","Flexibility (engineering)","Big data","Analytics","Data collection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-15","doi":"https://doi.org/10.31181/rme524","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4395042919","name":"Is digital sovereignty normatively desirable?","source":"openalex","abstract":"Sovereignty is a frequently used term when it comes to analyzing and shaping digital processes and transformations.For example, digital sovereignty has become a central concept in European politics in recent years.In this article, we argue that references to digital sovereignty have largely operated with an implausibly one-dimensional, overly simplified notion of sovereignty in general and its application to the digital in particular.We explore the question of what talking about sovereignty in the context of data and digital spaces can comprise.As a basis for this exploration, we distinguish three aspects of the concept of sovereignty: (1) sovereignty as absolute power, (2) sovereignty as embodied power, and (3) sovereignty as institutional power.We argue that, at least in the European debate on digital sovereignty, two of these aspects pertaining to the intricate relation between sovereign and addressee(s) of claims to sovereignty are consistently overlooked.Once understood as encompassing the three aspects distinguished above, digital sovereignty could be part of a normative framework that is normatively oriented towards vulnerability and freedom, that remains open and sensitive to tensions and ambivalences, and that continuously takes these as starting points for new approaches to governance and regulation of digital practices.","url":"https://doi.org/10.1080/1369118x.2024.2332624","authors":["Matthias Braun","Patrik Hummel"],"tags":["Sovereignty","Popular sovereignty","Context (archaeology)","Political science","Law and economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-23","doi":"https://doi.org/10.1080/1369118x.2024.2332624","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4401753028","name":"Digital Duplicates and the Scarcity Problem: Might AI Make Us Less Scarce and Therefore Less Valuable?","source":"openalex","abstract":"Abstract Recent developments in AI and robotics enable people to create personalised digital duplicates – these are artificial, at least partial, recreations or simulations of real people. The advent of such duplicates enables people to overcome their individual scarcity. But this comes at a cost. There is a common view among ethicists and value theorists suggesting that individual scarcity contributes to or heightens the value of a life or parts of a life. In this paper, we address this topic. We make five main points. First, that there is a plausible prima facie case for the scarcity threat: AI may undermine the value of an individual human life by making us less scarce. Second, notwithstanding this prima facie threat, the role of scarcity in individual value is disputable and always exists in tension with the contrasting view that scarcity is a tragedy that limits our value. Third, there are two distinct forms of scarcity – instrumental and intrinsic – and they contribute to value in different ways. Fourth, digital duplication technology may undermine instrumental scarcity, to at least some extent, but the axiological consequences of this are highly variable. Fifth, digital duplication technology does not affect intrinsic scarcity, and may actually heighten it.","url":"https://doi.org/10.1007/s13347-024-00795-z","authors":["John Danaher","Sven Nyholm"],"tags":["Scarcity","Prima facie","Value (mathematics)","Philosophy of technology","Human enhancement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-21","doi":"https://doi.org/10.1007/s13347-024-00795-z","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4411154655","name":"Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN","source":"openalex","abstract":"In lunar exploration missions, rovers must navigate multiple waypoints within strict time constraints while avoiding dynamic obstacles, demanding real-time, collision-free path planning. This paper proposes a digital twin-enhanced hierarchical planning method, A*-D3QN-Opt (A-Star-Dueling Double Deep Q-Network-Optimized). The framework combines the A* algorithm for global optimal paths in static environments with an improved D3QN (Dueling Double Deep Q-Network) for dynamic obstacle avoidance. A multi-dimensional reward function balances path efficiency, safety, energy, and time, while priority experience replay accelerates training convergence. A high-fidelity digital twin simulation environment integrates a YOLOv5-based multimodal perception system for real-time obstacle detection and distance estimation. Experimental validation across low-, medium-, and high-complexity scenarios demonstrates superior performance: the method achieves shorter paths, zero collisions in dynamic settings, and 30% faster convergence than baseline D3QN. Results confirm its ability to harmonize optimality, safety, and real-time adaptability under dynamic constraints, offering critical support for autonomous navigation in lunar missions like Chang’e and future deep space exploration, thereby reducing operational risks and enhancing mission efficiency.","url":"https://doi.org/10.3390/aerospace12060517","authors":["Wei Liu","Gang Wan","Jia Liu","Dianwei Cong"],"tags":["Motion planning","Computer science","Path (computing)","Aerospace engineering","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-08","doi":"https://doi.org/10.3390/aerospace12060517","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4411395706","name":"Enhancing predictive maintenance in lean manufacturing for continuous process improvement using digital twin technology","source":"openalex","abstract":"The latest advancement in digital technologies has greatly revolutionized modern manufacturing processes, particularly through the adoption of Lean Manufacturing initiatives aimed at minimizing wastage and enhancing operational efficiency. Predictive Maintenance (PM) being one of the primary drivers of transformation in lean manufacturing by reducing equipment downtime and optimizing asset performance. The lack of failure data is one of the biggest obstacles to PM deployment because traditional maintenance methods are used to maintain equipment after they break down. In order to address the issue of data scarcity, this study investigates the use of Digital Twin (DT) technology, which creates a virtual duplicate of the physical item and enables real-time monitoring utilizing sensors and Internet of Things devices for predictive analysis. IoT and data analytics are well complemented by digital twin technology, giving the manufacturer access to real-time information about the state of the machines while they are operating. This connectivity allows them to predict future asset failures accurately and strategically schedule maintenance activities in advance. The findings presented in this paper demonstrate that digital twin applications can reduce maintenance costs by 35% and machine uptime by 98%. It also presents case studies of DT application across different industries, and comparative study of positive impacts achieved through DT adoption. Cumulatively, the study highlights DT's transformational capability to facilitate lean initiatives and demands further investigation into integrations of emerging technology for process improvement.","url":"https://doi.org/10.30574/wjarr.2025.26.3.2307","authors":["Chinemerem Cyril Iheanacho","Ebubechukwu Ozurumba","Nkemdi Amajoh","Emeka Igwe"],"tags":["Predictive maintenance","Downtime","Lean manufacturing","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.30574/wjarr.2025.26.3.2307","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4412416287","name":"Multilayer networks describing urban interactions for building the digital twins of five cities in Spain","source":"openalex","abstract":"Networks specifying who interacts with whom are crucial for mathematical models of epidemic spreading. In the context of emerging diseases, these networks have the potential to encode multiple interaction contexts where non-pharmaceutical interventions can be introduced, allowing for proper comparisons among different intervention strategies in a plethora of contexts. Consequently, a multilayer network describing interactions in a population and detailing their contexts in different layers constitutes an appropriate tool for such descriptions. These approaches however become challenging in large-scale systems such as cities, particularly in a framework where data protection policies are enhanced. In this work, we present a methodology to build such multilayer networks and make those corresponding to five Spanish cities available. Our work uses approaches informed by multiple available datasets to create realistic digital twins of the citizens and their interactions and provides a playground to explore different pandemic scenario in realistic settings for better preparedness.","url":"https://doi.org/10.1038/s41597-025-05551-2","authors":["Jorge Rodríguez","Alberto Aleta","Yamir Moreno"],"tags":["Computer science","Context (archaeology)","Data science","ENCODE","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-15","doi":"https://doi.org/10.1038/s41597-025-05551-2","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4417434861","name":"Digital Twins in Dentistry: A Narrative Review of Current Applications and Future Horizons","source":"openalex","abstract":"Abstract Aim: The integration of Industry 4.0 into healthcare has introduced the Digital Twin (DT), a dynamic virtual replica that mirrors physical biological systems. Traditional dental diagnostics often rely on static two-dimensional methods, which lack predictive capabilities and are prone to errors. This review evaluates the adaptability of DT technology in dentistry, analyzing its potential to enhance diagnostic precision and treatment efficiency compared to conventional modalities. Materials and Methods: A narrative review was conducted using the PICOS framework to assess DT efficacy. A comprehensive literature search spanning 2014 to January 2024 was performed across databases including PubMed, Web of Science, and Scopus. The review synthesized data on DT mechanics, specifically the integration of Artificial Intelligence (AI), Internet of Things (IoT), and Cloud computing within clinical workflows. Results: In Endodontics, DT mitigates the risk of Nickel-Titanium (NiTi) file separation by using real-time thermal and torque monitoring to predict instrument fatigue before failure occurs. In Orthodontics and Orthognathic Surgery, DT fuses facial scans (STL) with CBCT data (DICOM) to create high-fidelity models. These models facilitate “what-if” treatment simulations and the fabrication of patient-specific surgical guides, demonstrating high translational accuracy between virtual planning and postoperative outcomes. Conclusion: DT technology represents a transformative shift from reactive to proactive dental care. By enabling real-time monitoring and predictive simulation, DT enhances surgical precision and personalization, establishing a new standard for data-driven diagnosis and treatment planning.","url":"https://doi.org/10.4103/jioh.jioh_230_25","authors":["G S Amarnath","Kiranmayi Govula","Sannapureddy Swapna","Sai Vighnesh Thati","Lenin Babu Thota","Maddineni Kowmudi"],"tags":["Narrative review","Replica","Computer science","Adaptability","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.4103/jioh.jioh_230_25","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399055872","name":"Reimagining Digital Health","source":"openalex","abstract":"Digital health is “associated with the use and development of digital technologies to improve health” (WHO 2024a ). It differs from other forms of healthcare by using a set of digital technologies, which are smart, accessible, and connected and which become central to the process of delivering healthcare. These technologies are used in all areas of healthcare, including providing professional healthcare services (e.g., diagnosing and treating patients), the supporting processes that are needed to deliver care (e.g., task planning, allocation of resources, patient routing), research (including trial management), patient self-care and health management, and health-related innovation generally. Examples of digital health technologies include mobile healthcare apps, fitness trackers, wearables, personal healthcare devices – such as digital scales, digital chest belts, smart pillboxes, smaller devices used by healthcare professionals (e.g., sensor-equipped endocutters, digital stethoscopes, or intelligent carpets), implants (neuro-, cardiac, or other) that are equipped with sensors and network connections, robotic surgery, teleconsultations, and remote patient monitoring solutions. Increasingly, and as advocated by the WHO ( 2024a ), digital health is associated with the use of artificial intelligence and complementary innovations, such as the use of blockchain, to deliver on its promise to improve healthcare quality, access, and affordability. These technologies on the one hand digitize healthcare and on the other hand enable new forms of interactions between patients and healthcare providers, such as sharing decisions between physicians and patients (Charles et al. 1997 ; Vogel et al. 2021 ).","url":"https://doi.org/10.1007/s12599-024-00870-x","authors":["Ali Sunyaev","Daniel Fürstenau","Elizabeth Davidson"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-27","doi":"https://doi.org/10.1007/s12599-024-00870-x","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416903890","name":"Ultra‐Short‐Term Wind Power Prediction Based on Digital Twins","source":"openalex","abstract":"ABSTRACT To address the issue of insufficient consideration of wind turbine physical characteristics and wind farm meteorological features in wind power forecasting, this paper proposes an ultra‐short‐term wind power prediction model based on digital twin technology. The model constructs a digital twin forecasting framework that integrates a digital‐physical model of the wind turbine and a parallel CTransformer‐BiGRU model to enhance prediction accuracy. The deep learning module captures spatiotemporal features in the data, while the digital‐physical model couples the forecasting process with the actual physical conditions of the wind farm, thereby improving prediction precision. Finally, the effectiveness of the proposed algorithm is validated through experimental tests on a real‐world dataset from a wind farm in Xinjiang, China.","url":"https://doi.org/10.1049/rpg2.70155","authors":["Arthur Tan-Chi Yuan","Hengrui Ma","Changhua Yang","Hui Xiao","Bo Wang","Wenzhong Gao","Qing La"],"tags":["Turbine","Wind power","Wind power forecasting","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/rpg2.70155","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4392358741","name":"Does Urban Digital Construction Promote Economic Growth? Evidence from China","source":"openalex","abstract":"In order to explore the causal relationship between the level of urban digital construction and urban economic growth, this paper takes 280 cities in China as the research object and constructs a comprehensive indicator evaluation system covering digital infrastructure, overall economic level, innovation development level, digital industry development status, and ecological environment conditions. Using the entropy method to weigh various indicators, this paper has obtained the evaluation results of the digital construction level of each city from 2011 to 2021. Furthermore, a panel data regression model is used to empirically analyze the impact of urban digital construction level on urban economic growth. The results show that for every 1% increase in the level of urban digital construction, the GDP will increase by 0.974. Through the above research, we hope to further enrich the theoretical and empirical research in the field of the digital economy, provide a scientific and reasonable method for quantitatively evaluating the level of urban digital construction, and provide decision-making references for improving the level of urban digital construction and promoting sustainable urban development.","url":"https://doi.org/10.3390/economies12030059","authors":["Weixin Yang","Chen Zhu","Yunpeng Yang"],"tags":["China","Sustainable development","Research Object","Urban planning","Urban construction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-29","doi":"https://doi.org/10.3390/economies12030059","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7155614952","name":"The Twin Transition Paradox: Is Green Strategy Always Profitable? A Longitudinal Threshold Analysis of EU Firms","source":"openalex","abstract":"ABSTRACT The debate over the financial returns of environmental investments remains unsettled, largely because prior research has relied too heavily on linear modeling assumptions. Drawing on the natural resource‐based view, this study examines the nonlinear relationship between eco‐innovation and firm value using longitudinal data from EU‐27 firms for the period 2010–2024. By applying system GMM, MMQR, and panel threshold regression, the analysis provides robust evidence of a U‐shaped relationship. The findings show that eco‐innovation initially depresses firm value due to higher implementation and operating costs, but begins to generate stronger financial returns once the quadratic turning point at 30.38 on the ECO_INN scale is exceeded. At the same time, the panel threshold model identifies a distinct regime threshold at 24.82, beyond which the marginal effect of eco‐innovation weakens but remains positive. The study also identifies a “twin transition paradox,” a strategic tension that arises when firms pursue digital and green transformations simultaneously. Although these transitions may be complementary in the long run, their concurrent implementation can intensify competition for limited organizational resources, increase coordination costs, and weaken short‐term financial performance. In contrast to techno‐optimistic expectations, digital transformation is found to negatively moderate the eco‐innovation–firm value relationship in the smaller subsample for which digital disclosure is available. In contrast, environmental policy uncertainty does not significantly alter this pattern. The quantile results further indicate that the U‐shaped pattern is strongest among low‐ and mid‐value firms and weaker at the upper end of the firm‐value distribution. Taken together, these findings provide conditional rather than universal support for the profitability paradox. The managerial implications should therefore be interpreted as provisional guidance consistent with the evidence, rather than as firm prescriptions.","url":"https://doi.org/10.1002/bse.70876","authors":["Hasan Tutar","Dalia Štreimikienė"],"tags":["Economics","Profitability index","Threshold model","Panel data","Returns to scale"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-24","doi":"https://doi.org/10.1002/bse.70876","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4414593783","name":"Deep learning enhances digital twin of machine tools: a case study on improving grinding accuracy for large shaft","source":"openalex","abstract":"Improving the machining accuracy of machine tools is a challenge in practice, and digital twins provide a feasible approach. However, a very difficult issue is that some important data cannot be directly measured during the machining process, which significantly affects the implementation of digital twins. In this paper, by taking large shaft grinding as an example, an approach using deep learning to enhance the digital twin of machine tools is proposed. An enhanced digital twin framework of a grinder is built, where the twin model of grinding accuracy was established by considering the system stiffness and grinding force pattern. Then, the CNN-LSTM neural networks with acceleration and power signals as input were used to deal with the time-varying characteristics of the core parameters to dynamically correct the twin model during the machining process. The corrected twin model was further used to generate the compensation instruction to improve the grinding accuracy. The experimental results show that the grinding accuracies of large shafts with three different profiles are improved by more than 80%, which proves the effectiveness of the proposed approach. Moreover, related discussion and outlook have been provided to help understand that deep learning enhances the digital twin of machine tools.","url":"https://doi.org/10.1080/27525783.2025.2553129","authors":["Dong Wang","Liping Wang","Hongli Yang","Yun Zhang","Xuekun Li"],"tags":["Artificial intelligence","Deep learning","Computer science","Engineering","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-12","doi":"https://doi.org/10.1080/27525783.2025.2553129","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4415224394","name":"Systematic selection framework for digital twin development environments in smart manufacturing","source":"openalex","abstract":"Digital Twins (DT) are a core Smart Manufacturing technology that is applicable across industries and use cases. However, manufacturers face numerous challenges when it comes to identifying appropriate tools to build custom applications, considering systems’ complexity, cost, compatibility, interoperability, and other factors. This study presents a systematic framework for selecting suitable Development Environment (DE) for DT applications in manufacturing. By analysing different DEs categorised into three groups (Simulation Engines, Game Engines, and Robotics Engines) before evaluating them based on curated, predefined criteria, the framework assists stakeholders in making informed decisions tailored to their specific project’s requirements. The framework considers factors such as cost, compatibility, scalability, ease of use, and technical capabilities, ensuring accessibility for expert users and practitioners with limited experience. It was evaluated in a real use case for its robustness and practicality. The results demonstrated the framework’s utility in identifying fit-for-purpose DE, highlighting the strengths and limitations of different environments. Challenges include balancing visualisation capabilities with industrial functionality and managing the steep learning curves of complex environments. The framework aims to support manufacturers, researchers, and technology enthusiasts in selecting suitable DE that meet technical requirements and align with strategic goals, ultimately driving innovation and efficiency in manufacturing.","url":"https://doi.org/10.1080/27525783.2025.2565246","authors":["Carlos Dodero","Matt McCormick","Ali Ahmad Malik","Ramy Harik","Thorsten Wuest"],"tags":["Computer science","Selection (genetic algorithm)","Smart manufacturing","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-02","doi":"https://doi.org/10.1080/27525783.2025.2565246","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403552460","name":"Data-Driven Digital Twin for Foundry Production Process: Facilitating Best Practice Operations Investigation and Impact Analysis","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-74738-0_17","authors":["Daniel Anthony Howard","Magnus Værbak","Zhipeng Ma","Bo Nørregaard Jôrgensen","Zheng Ma"],"tags":["Computer science","Best practice","Context (archaeology)","Production (economics)","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-18","doi":"https://doi.org/10.1007/978-3-031-74738-0_17","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4404789563","name":"Towards Reconfigurable Cyber-Physical-Human Systems: Leveraging Mixed Reality and Digital Twins to integrate Human Operations","source":"openalex","abstract":"The agility to swiftly and efficiently reconfigure manufacturing systems is crucial in today’s rapidly evolving market demands. Traditional recon-figuration operations often fall short, presenting non-intuitive and error-prone tasks for human operators, without the aid of systematic approaches or supportive technologies. This gap not only complicates the reconfiguration process but also significantly increases the risk of errors. In response, we introduce a novel approach that integrates Mixed Reality and Digital Twins within Cyber-Physical Systems to address these challenges. This enhances the human element in manufacturing reconfigurations by facilitating intuitive trajectory planning for robot (re)programming and comprehensive documentation of physical processes, including human operations. The design and implementation of the approach aim to significantly enhance manufacturing reconfigurations by reducing downtime, complexity, and human error. Further, the paper outlines directions for future work, including comprehensive system validation within a Cyber-Physical-Human manufacturing system, emphasizing the critical role of human operators in the reconfiguration process and the potential for technology to address traditional shortcomings.","url":"https://doi.org/10.1016/j.procir.2024.10.124","authors":["Anjela Mayer","Kevin Kastner","Edgar Mühlbeier","Jean-Rémy Chardonnet","Julian Reichwald","Alexander Puchta","Jürgen Fleischer","Jivka Ovtcharova"],"tags":["Cyber-physical system","Human–computer interaction","Mixed reality","Computer science","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procir.2024.10.124","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4412174642","name":"Architectural Design for Digital Twin Networks","source":"openalex","abstract":"Digital Twin Networks are advanced digital replicas of physical network infrastructures, offering real-time monitoring, analysis, and optimization capabilities. Despite their potential, the absence of a standardized definition and implementation guidelines complicates practical deployment. The existing literature often lacks clarity on tool selection and implementation specifics. In response, this paper aims to address these challenges by providing a complete guide and reference list of essential tools to implement Digital Twin Networks. Following the current research and work-in-progress from the definition initiative, including our own contributions, we propose a structured approach to Digital Twin Network implementation. Our methodology integrates insights from diverse sources to establish a coherent framework for developers and researchers. By synthesizing insights from the literature and practical experience, we define key components and functionalities critical to Digital Twin Network architecture. Additionally, we highlight challenges inherent to Digital Twin Network implementation and offer strategic approaches and mindsets for addressing them. This includes considerations for scalability, interoperability, real-time communication, data modeling, and security, ensuring a holistic approach to building effective Digital Twin Network systems.","url":"https://doi.org/10.3390/network5030024","authors":["Jorg Wieme","Mathias Baert","Jeroen Hoebeke"],"tags":["Computer science","Computer architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.3390/network5030024","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4411700056","name":"Digital Twins and Urban Planning: Designing Smarter, More Inclusive Cities","source":"openalex","abstract":"Digital twins represent a transformative technology that is revolutionizing urban planning and management through sophisticated AI-powered simulations of city infrastructure and systems. These virtual replicas integrate real-time data streams from diverse sources, including traffic networks, energy grids, public transportation, and social infrastructure, to create comprehensive models enabling predictive evaluation and scenario testing. The paradigm shifts from reactive to proactive urban management allows planners to model infrastructure decisions before implementation, identify potential bottlenecks, predict maintenance requirements, and test policy interventions in silico. Beyond operational efficiency, digital twins offer unprecedented opportunities for inclusive urban development by simulating how different populations interact with urban spaces and identifying barriers that traditional planning processes might overlook. The technology enables dynamic response to changing conditions, from optimizing traffic flow and predicting infrastructure failures to managing public health crises and climate adaptation. However, the deployment of these powerful systems raises critical ethical concerns regarding data privacy, citizen consent, surveillance risks, and equitable distribution of benefits. Successful implementation requires sophisticated technological architecture integrating IoT ecosystems, cloud computing, and advanced analytics while establishing robust governance frameworks that balance innovation with citizen protection. As cities worldwide grapple with rapid urbanization and complex challenges, digital twins offer promising solutions for creating smarter, more inclusive, and resilient urban environments when guided by principles of transparency, accountability, and community participation.","url":"https://doi.org/10.37745/ejcsit.2013/vol13n44104112","authors":["Megha Hooli"],"tags":["Architectural engineering","Geography","Environmental planning","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-15","doi":"https://doi.org/10.37745/ejcsit.2013/vol13n44104112","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399919311","name":"Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024)","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-61421-7","authors":["Carlo Rainieri","Carmelo Gentile","Manuel Aenlle López"],"tags":["Modal","Computer science","Engineering","Materials science","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-61421-7","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399184289","name":"Fostering Directions for Digital Technology Adoption in Sustainable and Circular Fashion: Toward the Circular Fashion-Tech Lab","source":"openalex","abstract":"The fashion sector, recognized for its resource-intensive methods, is currently encountering pressing sustainability issues due to its substantial dependence on natural resources, extensive utilization of chemicals, and exploitation of labor within its supply chain, thus giving rise to notable environmental and ethical apprehensions. In the Industry 4.0 era, which emphasizes the integration of new production technologies to enhance working conditions, productivity, and production facility quality, the fashion sector has discovered opportunities to tackle sustainability challenges by adopting technology for transitioning to circular, greener, and digital systems with reduced environmental impact. Despite promising prospects, the opportunities provided by this paradigm are yet to be fully realized. In this context, design is crucial in enhancing digitally driven production processes for fashion companies within this framework. To explore this, the study suggests an iterative approach to recognizing challenges and opportunities, concentrating on the current alignment with technological advancements. A design-focused strategy aims to devise a comprehensive approach to fashion sustainability and circular economy (CE) principles within the Industry 4.0 framework. The aim is to establish an innovative laboratory model that aids fashion companies in effectively managing the sustainable and digital transition. The study offers insights into potential research opportunities to accelerate the Industry 4.0 transformation in the fashion sector. It envisages a more positive, sustainable, and responsible future by establishing a Circular Fashion-Tech Lab, integrating innovative technologies for sustainable and circular practices in the fashion industry.","url":"https://doi.org/10.3390/systems12060190","authors":["Daria Casciani","Erminia D’Itria"],"tags":["Circular economy","Sustainability","Industry 4.0","Context (archaeology)","Resource efficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-29","doi":"https://doi.org/10.3390/systems12060190","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399597323","name":"Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin","source":"openalex","abstract":"Domain specific digital twins, representing a digital replica of various segments of the smart grid, are foreseen as able to model, simulate, and control the respective segments. At the same time, knowledge-based digital twins, coupled with AI, may also empower humans to understand aspects of the system through natural language interaction in view of planning and policy making. This paper is the first to assess and report on the potential of Retrieval Augmented Generation (RAG) question answers related to household electrical energy measurement aspects leveraging a knowledge-based energy digital twin. Relying on the recently published electricity consumption knowledge graph that actually represents a knowledge-based digital twin, we study the capabilities of ChatGPT, Gemini and Llama in answering electricity related questions. Furthermore, we compare the answers with the ones generated through a RAG techniques that leverages an existing electricity knowledge-based digital twin. Our findings illustrate that the RAG approach not only reduces the incidence of incorrect information typically generated by LLMs but also significantly improves the quality of the output by grounding responses in verifiable data. This paper details our methodology, presents a comparative analysis of responses with and without RAG, and discusses the implications of our findings for future applications of AI in specialized sectors like energy data analysis.","url":"https://doi.org/10.48550/arxiv.2406.06566","authors":["Carolina Fortuna","Vid Hanžel","Blaž Bertalanič"],"tags":["Electricity","Business","Environmental economics","Economics","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-03","doi":"https://doi.org/10.48550/arxiv.2406.06566","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4394891806","name":"Unveiling Digital Transformation: A Catalyst for Enhancing Food Security and Achieving Sustainable Development Goals at the European Union Level","source":"openalex","abstract":"The digital revolution is reshaping various aspects of society, including having a profound impact on food security and the advancement of Sustainable Development Goals (SDGs). This study investigates the relationship between digital transformation, quantified through the components of the Digital Economy and Society Index (DESI), and SDGs related to food (SDG1, SDG2, SDG3, and SDG10), along with the overall SDG Index score. The data used for investigation are sourced from reports issued by the European Commission concerning DESI, as well as the SDG reports for the period from 2017 to 2022. The paper elucidates how different components of digitalization, such as connectivity, digital skills, internet usage, and digital public services, influence the attainment of food security objectives and broader sustainable development targets using structural equation modeling and cluster analysis. The findings underscore the pivotal role of digital technologies in enhancing poverty alleviation, health and well-being, and, in particular, mitigating inequality. This study contributes to understanding the complex relationship between digital transformation and food security, offering insights for policymakers, practitioners, and stakeholders aiming to leverage technology for advancing SDGs and fostering a more equitable and sustainable future.","url":"https://doi.org/10.3390/foods13081226","authors":["Anca Antoaneta Vărzaru"],"tags":["Sustainable development","Food security","Digital transformation","Leverage (statistics)","European union"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-17","doi":"https://doi.org/10.3390/foods13081226","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4400687378","name":"Digital Twin Technology in Built Environment: A Review of Applications, Capabilities and Challenges","source":"preprints","abstract":"Digital Twin (DT) technology is a pivotal innovation within the built environment industry, facilitating digital transformation through advanced data integration and analytics. DTs have demonstrated significant benefits in building design, construction, and asset management, including optimizing lifecycle energy use, enhancing operational efficiency, enabling predictive maintenance, and improving user adaptability. By integrating real-time data from IoT sensors with advanced analytics, DTs provide dynamic and actionable insights for better decision-making and resource management. Despite these promising benefits, several challenges impede the widespread adoption of DT technology, such as technological integration, data consistency, organisational adaptation, and cybersecurity concerns. Addressing these challenges requires inter-disciplinary collaboration, standardization of data formats, and the development of universal design and development platforms for DTs. This paper provides a comprehensive review of DT definitions, applications, capabilities, and challenges within the Architecture, Engineering, and Construction (AEC) industries. This paper provides important insights for researchers and professionals, helping them gain a more comprehensive and detailed view of DT. The findings also demonstrate the significant impact that DTs can have on this sector, contributing to advancing DT implementations and promoting sustainable and efficient building management practices. Ultimately, DT technology is set to revolutionize the AEC industries by enabling autonomous, data-driven decision-making and optimizing building operations for enhanced productivity and performance.","url":"https://doi.org/10.20944/preprints202407.1004.v1","authors":["Yalda Mousavi","Zahra Gharineiat","Armin Aghakarimi","Kevin McDougall","Adriana Rossi","Sara Gonizzi Barsanti"],"tags":["Computer science","Adaptability","Implementation","Analytics","Standardization"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202407.1004.v1","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4408324726","name":"Goal-oriented Semantic Communication for Robotic Arm Reconstruction in Digital Twin","source":"openalex","abstract":"As one of the most promising technologies in industry, the Digital Twin (DT) facilitates real-time monitoring and predictive analysis for real-world systems by precisely reconstructing virtual replicas of physical entities. However, this reconstruction faces unprecedented challenges due to the ever-increasing communication overhead, especially for digital robotic arm reconstruction. To this end, we propose a novel goal-oriented semantic communication (GSC) design to extract GSC information for the robotic arm reconstruction task in the DT, with the aim of minimising the communication load without sacrificing the reconstruction accuracy. Specifically, rather than transmitting a message that contains complete robotic arm states for reconstruction, we design a Wireless Feature Selection (WFS) algorithm that first segments the motion of the physical robot into several phases, and then extracts and transmits GSC information from this message according to the current phase. Our proposed design is validated through both Pybullet simulations and real-world experiments using the Franka Research 3 robotic arm, where their communication loads are reduced by 44.1% and 35%, respectively, while maintaining the reconstruction error in the same level. The accompanying demo is available online at: https://youtu.be/IAZjoTcbaFA.","url":"https://doi.org/10.1109/globecom52923.2024.10901815","authors":["Shutong Chen","Emmanouil Spyrakos-Papastavridis","Yichao Jin","Yansha Deng"],"tags":["Robotic arm","Computer science","Artificial intelligence","ARM architecture","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-08","doi":"https://doi.org/10.1109/globecom52923.2024.10901815","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403400457","name":"Data Mining Approach for Evil Twin Attack Identification in Wi-Fi Networks","source":"openalex","abstract":"Recent cyber security solutions for wireless networks during internet open access have become critically important for personal data security. The newest WPA3 network security protocol has been used to maximize this protection; however, attackers can use an Evil Twin attack to replace a legitimate access point. The article is devoted to solving the problem of intrusion detection at the OSI model’s physical layers. To solve this, a hardware–software complex has been developed to collect information about the signal strength from Wi-Fi access points using wireless sensor networks. The collected data were supplemented with a generative algorithm considering all possible combinations of signal strength. The k-nearest neighbor model was trained on the obtained data to distinguish the signal strength of legitimate from illegitimate access points. To verify the authenticity of the data, an Evil Twin attack was physically simulated, and a machine learning model analyzed the data from the sensors. As a result, the Evil Twin attack was successfully identified based on the signal strength in the radio spectrum. The proposed model can be used in open access points as well as in large corporate and home Wi-Fi networks to detect intrusions aimed at substituting devices in the radio spectrum where IEEE 802.11 networking equipment operates.","url":"https://doi.org/10.3390/data9100119","authors":["Роман Банах","Elena Nyemkova","Connie Justice","Andrian Piskozub","Yuriy Lakh"],"tags":["Identification (biology)","Computer science","Computer security","Data mining","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-14","doi":"https://doi.org/10.3390/data9100119","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403730007","name":"Mitigating Thermal Side-Channel Vulnerabilities in FPGA-Based SiP Systems Through Advanced Thermal Management and Security Integration Using Thermal Digital Twin (TDT) Technology","source":"openalex","abstract":"Side-channel attacks (SCAs) are powerful techniques used to recover keys from electronic devices by exploiting various physical leakages, such as power, timing, and heat. Although heat is one of the less frequently analyzed channels due to the high noise associated with thermal traces, it poses a significant and growing threat to the security of very large-scale integrated (VLSI) microsystems, particularly system in package (SiP) technologies. Thermal side-channel attacks (TSCAs) exploit temperature variations, risking not only hardware damage from excessive heat dissipation but also enabling the extraction of sensitive data, like cryptographic keys, by observing thermal patterns. This dual threat underscores the need for a synergistic approach to thermal management and security in designing integrated microsystems. In response, this paper presents a novel approach that improves the early detection of abnormal thermal fluctuations in SiP designs, preventing cybercriminals from exploiting such anomalies to extract sensitive information for malicious purposes. Our approach employs a new concept called Thermal Digital Twin (TDT), which integrates two previously separate methods and techniques, resulting in successful outcomes. It combines the gradient direction sensor scan (GDSSCAN) to capture thermal data from the physical field programmable gate array (FPGA), which guarantees rapid thermal scan with a measurement period that could be close to 10 μs, a resolution of 0.5 ∘C, and a temperature range from −40 ∘C to 140 ∘C; once the data are transmitted in real time to a Digital Twin created in COMSOL Multiphysics® 6.0 for simulation using the Finite Element Method (FEM), the real time required by the CPU to perform all the necessary calculations can extend to several seconds or minutes. This integration allows for a detailed analysis of thermal transfer within the SiP model of our FPGA. Implementation and simulations demonstrate that the Thermal Digital Twin (TDT) approach could reduce the risks associated with TSCA by a significant percentage, thereby enhancing the security of FPGA systems against thermal threats.","url":"https://doi.org/10.3390/electronics13214176","authors":["Amrou Zyad Benelhaouare","Idir Mellal","Maroua Oumlaz","Ahmed Lakhssassi"],"tags":["Thermal","Field-programmable gate array","Side channel attack","Channel (broadcasting)","Thermal management of electronic devices and systems"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-24","doi":"https://doi.org/10.3390/electronics13214176","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4400876624","name":"Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review","source":"openalex","abstract":"Background: Sleep and affective states are closely intertwined. Nevertheless, previous methods to evaluate sleep-affect associations have been limited by poor ecological validity, with a few studies examining temporal or dynamic interactions in naturalistic settings. Objectives: First, to update and integrate evidence from studies investigating the reciprocal relationship between daily sleep and affective phenomena (mood, affect, and emotions) through ambulatory and prospective monitoring. Second, to evaluate differential patterns based on age, affective disorder diagnosis (bipolar, depression, and anxiety), and shift work patterns on day-to-day sleep-emotion dyads. Third, to summarise the use of wearables, actigraphy, and digital tools in assessing longitudinal sleep-affect associations. Method: A comprehensive PRISMA-compliant systematic review was conducted through the EMBASE, Ovid MEDLINE(R), PsycINFO, and Scopus databases. Results: Of the 3024 records screened, 121 studies were included. Bidirectionality of sleep-affect associations was found (in general) across affective disorders (bipolar, depression, and anxiety), shift workers, and healthy participants representing a range of age groups. However, findings were influenced by the sleep indices and affective dimensions operationalised, sampling resolution, time of day effects, and diagnostic status. Conclusions: Sleep disturbances, especially poorer sleep quality and truncated sleep duration, were consistently found to influence positive and negative affective experiences. Sleep was more often a stronger predictor of subsequent daytime affect than vice versa. The strength and magnitude of sleep-affect associations were more robust for subjective (self-reported) sleep parameters compared to objective (actigraphic) sleep parameters.","url":"https://doi.org/10.3390/s24144701","authors":["Robert Hickman","Teresa D’Oliveira","A. Davies","Sukhwinder S. Shergill"],"tags":["Affect (linguistics)","Mood","Wearable computer","Sleep (system call)","Wearable technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-19","doi":"https://doi.org/10.3390/s24144701","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4411123954","name":"Adapting Agile Methodologies to Incorporate Digital Twins in Sprint Planning, Backlog Refinement, and QA Validation","source":"openalex","abstract":"Agile approaches, which offer flexibility, iterative development, and constant feedback, have emerged as the mainstay of contemporary software and hardware development. However, managing dependencies, correctly forecasting system behavior, and evaluating features under real-world circumstances are all difficult tasks for traditional agile approaches. Real-time simulations, predictive analytics, and automated testing are made possible by digital twins (DTs), which are virtual representations of digital or physical systems. The three essential agile processes of sprint planning, backlog refinement, and QA validation are examined in this paper along with how DTs might improve them. By adopting Digital Twins, Agile teams may achieve more exact sprint predictions, risk-based backlog prioritization, and automated QA validation. DTs' capacity to model task allocation and foresee system restrictions helps in sprint planning. DT-driven dependency analysis and dynamic risk assessment enhance backlog refinement, guaranteeing that priority is in line with practical viability. Lastly, by offering virtual testing environments that identify flaws before to deployment, digital twins transform QA validation. This study synthesizes insights from existing literature, industry case studies, and empirical evidence to propose an integrated Agile-Digital Twin framework. The findings suggest that organizations implementing DTs within Agile practices experience enhanced efficiency, reduced technical debt, and improved product quality. However, challenges such as high implementation costs, integration complexity, and skill gaps must be addressed. The paper concludes by highlighting future research directions, including AI-powered Digital Twins for Agile optimization and the role of DTs in DevSecOps.","url":"https://doi.org/10.60087/jklst.v4.n2.006","authors":["Mohammed Majid Bakhsh","Gazi Touhidul Alam","Nusrat Yasmin Nadia"],"tags":["Sprint","Agile software development","Computer science","Process management","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-15","doi":"https://doi.org/10.60087/jklst.v4.n2.006","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4414470725","name":"Integrating Digital Twin and Nature Based Solutions for Climate Resilient Urban Design: A Predictive Framework for Future Ready Residential Neighborhoods in the Anthropocene","source":"openalex","abstract":"The accelerating impacts of climate change and rapid urbanization underscore the urgent need for integrative frameworks that enhance the adaptive capacity of cities. This study proposes a predictive urban design framework that synthesizes Digital Twins (DTs) and Nature-Based Solutions (NbS) to support the development of climate-resilient residential neighborhoods in the Anthropocene era. By fusing real-time environmental data, microclimate simulations, and spatial analytics, the framework enables evidence-based planning, scenario testing, and performance optimization of ecological interventions at the neighborhood scale. Drawing on multidisciplinary insights and experimental applications including smart vertical greening systems, floodable park typologies, and IoT-based irrigation modules the research demonstrates the potential of hybrid DT NbS systems to mitigate urban heat, improve water retention, and reduce building energy demand. Results from case-based simulations, supported by tools such as GREENPASS®, show indoor temperature reductions of up to 3-4 °C, enhanced thermal comfort, and improved ecological performance. The framework applies a standardized set of urban resilience metrics, including Thermal Comfort Score (TCS), Physiological Equivalent Temperature (PET), air temperature, and relative humidity, to quantify the impacts of interventions across both spatial and temporal dimensions. Furthermore, the study emphasizes the importance of participatory co-design and inclusive governance models to ensure that NbS are equitably implemented and responsive to socio-environmental disparities. By aligning digital simulation technologies with ecosystem-based design strategies, this research offers a transferable and scalable model for planning future-ready, regenerative urban neighborhoods.","url":"https://doi.org/10.59324/ejsmt.2025.1(5).01","authors":["Asad Abbas","Muhammad Adeel","Ghulam Akbar","Sadaqat Hayyat","Ghulam Muhayyu Din"],"tags":["Microclimate","Environmental planning","Environmental resource management","Anthropocene","Multidisciplinary approach"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.59324/ejsmt.2025.1(5).01","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403588879","name":"The Fuse Platform: Integrating data from IoT and other Sensors into an Industrial Spatial Digital Twin","source":"openalex","abstract":"Abstract. Digital Twins as virtual representations of industrial assets are being used to assimilate varied sources of data for improved awareness and decision making in operations and process optimisation. This paper explores the integration of IoT sensors into a spatial digital twin called Fuse that Woodside Energy has been building for the assets it operates. We describe the Fuse platform and its knowledge graph data core that is used to organise and inter-relate data for presentation within 3D visualisations, domain-specific contexts and immersive augmented reality presentations. The key contribution here is the use of a knowledge graph to link diverse data sources so as to contextualise sensor data for actionable insights. One area of significant innovation has been the development and use of new Internet of Things (IoT) devices which have been enabled by advances in sensor technology, connectivity, and cloud computing. These new tailored data sources are complimenting existing plant and resource planning data for improved asset monitoring, predictive maintenance and process automation.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-79-2024","authors":["G. Biegel","Nicholas Bower","Will Castelnau"],"tags":["Fuse (electrical)","Internet of Things","Computer science","Embedded system","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-21","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-79-2024","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4414408894","name":"From TQM to TQM 4.0: A Digital Framework for Advancing Quality Excellence through Industry 4.0 Technologies","source":"openalex","abstract":"Total Quality Management (TQM) has traditionally been based on core principles such as customer focus, continuous improvement, process control, employee involvement, and data-driven decision-making. The rise of Industry 4.0 technologies—including Artificial Intelligence (AI), the Internet of Things (IoT), Big Data Analytics, Digital Twins, Blockchain, and Cyber-Physical Systems—has reshaped these principles, leading to the emergence of TQM 4.0. This evolution transitions quality management from reactive, manual processes to predictive, autonomous, and real-time systems, enabling greater precision, agility, and sustained excellence.This paper presents a comprehensive critical review of contemporary TQM literature, examining its evolution, methodological advancements, and cross-industry applications, while systematically exploring the challenges of integrating Industry 4.0 technologies into quality management. Based on this analysis, it proposes a conceptual digital framework for TQM 4.0 that combines traditional quality principles with advanced digital tools and incorporates the Lean Six Sigma (LSS) DMAIC cycle to drive continuous improvement, enhance customer value, and achieve operational excellence in smart environments. The study also outlines strategic objectives and key performance indicators (KPIs) to facilitate effective monitoring, evaluation, and ongoing refinement of TQM 4.0 initiatives, addressing key challenges such as system integration, workforce upskilling, data governance, and cybersecurity through practical solutions. Ultimately, this research demonstrates how the integration of TQM and Industry 4.0 technologies enables organizations to boost quality performance, strengthen resilience, and maintain competitive advantage in an increasingly digital and dynamic landscape.","url":"https://doi.org/10.22399/ijnasen.21","authors":["Attia Hussien Gomaa"],"tags":["Total quality management","Process management","Industry 4.0","Excellence","Kaizen"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-24","doi":"https://doi.org/10.22399/ijnasen.21","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4407393872","name":"Hierarchical System of Digital Twins: A Holistic Architecture for Swarm System Analysis","source":"openalex","abstract":"International audience","url":"https://doi.org/10.5220/0013258900003896","authors":["Mouhamadou F Ball","Jannik Laval","Loïc Lagadec"],"tags":["Computer science","Architecture","Computer architecture","Human–computer interaction","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.5220/0013258900003896","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4411814583","name":"Digital platforms for circular economy: Empirical development of a taxonomy and archetypes","source":"openalex","abstract":"Abstract Digital platforms hold promise to leverage the transition from a linear to a circular economy (CE), as they have already disrupted value-creation mechanisms and formed dynamic ecosystems in various domains. However, the solution space for CE platforms is vast and remains under-researched, challenging platform providers to find purposeful platform configurations and industrial companies to choose the right platform on the market. To support informed platform design decisions and uncover the existing CE platform configurations, we develop a taxonomy from a systematic literature review and an empirical dataset of 129 cases of CE platforms. The taxonomy provides a holistic view of the solution space, advancing our understanding of key configuration options. The taxonomy allows us to perform cluster analysis and derive six CE platform archetypes. These findings advance the theoretical knowledge indicating how platforms can support CE and help decision-makers design CE platforms or identify suitable CE platforms for their own circular activities.","url":"https://doi.org/10.1007/s12525-025-00792-w","authors":["Dimitri Petrik","Simon Hiller","Dominik Morar"],"tags":["Archetype","Taxonomy (biology)","Circular economy","Digital economy","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.1007/s12525-025-00792-w","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4407959514","name":"A Digital Urban Twin Enabling Interactive Pollution Predictions and Enhanced Planning","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.5154970","authors":["Dennis Teutscher","Fedor Bukreev","Adrian Kummerländer","Stephan Simonis","Peter Bächler","Ashkan Rezaee","Mariusz Hermansdorfer","Mathias J. Krause"],"tags":["Pollution","Environmental planning","Environmental science","Computer science","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.2139/ssrn.5154970","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4401983654","name":"Digital Sustainability","source":"openalex","abstract":"This open access book critically examines key concepts related to digital sustainability and its evolution, and highlights emerging trends.","url":"https://doi.org/10.1007/978-3-031-61749-2","authors":["Theo Lynn","Pierangelo Rosati","David Kreps","Kieran Conboy"],"tags":["Sustainability","Business","Biology","Ecology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-61749-2","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7124428394","name":"Digital twins as enablers for circular economy development in the context of Industry 4.0","source":"openalex","abstract":"Abstract This article aims to build upon the ongoing discourse on sustainability in the journal Gruppe. Interaktion. Organisation. (GIO), in the special issue “Shaping organizations sustainably.” It empirically investigates how manufacturers leverage digital twins in their operations to enable the development of a circular economy in the context of Industry 4.0. Addressing the challenges of the traditional linear economy, marked by significant resource loss and environmental degradation, the study explores the potential of digital twins, virtual representations of physical systems and their interconnections, to slow and close resource loops and minimize waste. Through qualitative interviews with nine experts, the research provides valuable insights into the strategies and success factors necessary for the effective integration of digital twins into circular economy practices. The findings reveal that achieving full implementation of digital twins for the circular economy has yet to be realized and involves a long-term process requiring technological, organizational, and regulatory adjustments. This article contributes to the broader discussion on organizational sustainability by offering practical recommendations and identifying future research areas to further advance the integration of digital twins into the circular economy, thereby enhancing both operational efficiency and sustainability.","url":"https://doi.org/10.1007/s11612-025-00856-7","authors":["R. Albrecht","Annabelle Hofer"],"tags":["Circular economy","Sustainability","Leverage (statistics)","Context (archaeology)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1007/s11612-025-00856-7","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4390948185","name":"An Integrated Data-Driven System for Digital Bridge Management","source":"openalex","abstract":"Relational databases are established and widespread tools for storing and managing information. The efficient collection of information in a database appears to be a promising solution for bridge management (BM), thus facilitating the digital transition. The Italian regulatory framework on infrastructure operation and maintenance (O&M) is complex and is constantly being updated. The current plan for implementing its guidelines envisages that infrastructure managers, also on a regional scale, equip themselves with their own digital database for BM. Within this context, this research proposes an integrated methodology that collects information derived from project documentation, in situ inspections, digital surveys, and monitoring and field tests in a queryable database for digitalising, georeferencing, and creating models of many bridges. Structured query language (SQL) statements are used to efficiently export specific shared information, enabling network cross-analysis. Furthermore, the database represents the source of a geographic information system (GIS) catalogue and the basis for deriving models for building information modelling (BIM). The methodology focuses on the infrastructural context of the Lazio region, Italy, the first beneficiary of the research.","url":"https://doi.org/10.3390/buildings14010253","authors":["Luigi Pallante","Pietro Meriggi","Fabrizio D’Amico","Valerio Gagliardi","Antonio Napolitano","Fabrizio Paolacci","Gianluca Quinci","Mario Lorello","Gianmarco de Felice"],"tags":["Bridge (graph theory)","Computer science","Database","Documentation","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-17","doi":"https://doi.org/10.3390/buildings14010253","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4400580387","name":"Simulation Methods and Digital Strategies for Supply Chains Facing Disruptions: Insights from a Systematic Literature Review","source":"openalex","abstract":"Supply chain disruptions pose significant economic stability and growth challenges, impacting industries globally. This study aims to systematically review the literature on the use of simulation tools in managing supply chain disruptions, focusing on the historical evolution, prevalent simulation methods, specific challenges addressed, and research gaps. A systematic literature review was conducted using the PRISMA method. An initial pool of 236 articles was identified, from which 213 publications were rigorously reviewed. This study analyzed these articles to map the academic landscape, identify key clusters, and explore the integration of digital advancements in enhancing supply chain resilience. The review identified the chronological development of research in this field, highlighting significant contributions and influential authors. It was found that various simulation methods, including discrete-event simulation, agent-based modeling, and system dynamics, are employed to address different aspects of supply chain disruptions. Two primary research frontiers emerged from the analysis: the strategic reconfiguration of supply chain networks to mitigate ripple effects and the swift implementation of countermeasures to contain disruptions. The findings suggest a need for future research focusing on dynamic analysis and control theory applications to understand and manage supply chain disruptions better. This study also notes the increasing interest and need to use digital technologies (digital twins, artificial intelligence, etc.) in future research. It underscores the necessity for continued research to develop resilient and sustainable supply chain infrastructures aligned with the United Nations’ Sustainable Development Goals. The identified research gaps offer a roadmap for future scholarly exploration and practical implementation.","url":"https://doi.org/10.3390/su16145957","authors":["Benjamin Korder","Julien Maheut","Matthias Konle"],"tags":["Supply chain","Systematic review","Supply chain management","Process management","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.3390/su16145957","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4413175246","name":"Photovoltaic Digital Twins: Mathematical Modeling vs. Neural Networks for Energy Management in Smart Buildings","source":"openalex","abstract":"Efficiently controlling and managing photovoltaic installations for self-consumption is key to making optimal use of these systems. The first step to achieving that control is modeling the generation of electricity by photovoltaic panels with digital twins. This paper presents an experimental evaluation of four photovoltaic power prediction models in a real-world environment using high-resolution, annual data from a university facility. A mathematical model and three neural network models (MLP, LSTM, and GRU) are compared under standardized metrics. The results demonstrate that the Multilayer Perceptron (MLP) achieves the highest overall accuracy and seasonal consistency. It outperforms the other three models, particularly in scenarios where the relationships between meteorological variables and power generation are predominantly static. However, the mathematical model maintains a competitive performance in conditions of low variability, such as in the summer and autumn. The seasonal analysis reveals the importance of selecting and adjusting models according to operational and climatic contexts. This study’s main contribution is identifying the MLP as the most efficient option for implementing digital twins in photovoltaic installation control. This facilitates real-time monitoring, optimization, and predictive maintenance and contributes to smart, sustainable energy management in buildings to align with climate neutrality guidelines.","url":"https://doi.org/10.3390/app15168883","authors":["Doroteya Dimitrova-Angelova","Juan Félix González González","Diego Carmona-Fernández","Miguel A. Jaramillo-Morán"],"tags":["Photovoltaic system","Architectural engineering","Computer science","Artificial neural network","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-12","doi":"https://doi.org/10.3390/app15168883","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4409317683","name":"Energy management and industry 4.0: Analysis of the enabling effects of digitalization on the implementation of energy management practices","source":"openalex","abstract":"Manufacturing industries face significant challenges in reducing final energy use and improving Energy Management Practices (EnMPs). Industry 4.0 (I4.0) technologies provide transformative opportunities to address these challenges, yet their integration with EnMPs remains underexplored. This study aims to fill this gap by reviewing I4.0 solutions applied in manufacturing and assessing their impact on companies' Energy Management strategies. Specifically, the study develops a Smart Factory framework, categorizes I4.0 technologies into four clusters (system, infrastructure, service, and process) and identifies nine key Areas of Impact. The framework systematically maps these technologies to assess their effects on Energy Management. This model is validated and applied in two Swedish firms manufacturing respectively automotive components and heavy machinery, and machine tool accessories. Results indicate that EnMPs affect multiple areas, while their most notable impact is observed in the area of ‘awareness’, ‘connectivity & integration’, and ‘visualization’. Similarly, I4.0 technologies enhance EnMPs by improving energy monitoring, performance evaluation, and energy-efficient process design. Internet of Things emerged as a critical enabler, facilitating real-time energy data collection and analysis, while Artificial Intelligence and Big Data Analytics provided predictive capabilities to optimize energy use and prevent inefficiencies. Simulation tools and Virtual Reality supported process visualization and design optimization, while Advanced Robotics enhanced flexibility and reduced operational energy waste. Energy-aware production scheduling, predictive maintenance, and the design of energy-efficient systems were the most significantly impacted practices. This framework demonstrates how I4.0 technologies can enable the transition towards smarter, energy-efficient manufacturing, contributing to industrial decarbonization and sustainability goals. By providing actionable insights, the framework equips researchers and practitioners with a systematic approach to integrating digital technologies and energy management strategies, bridging a critical gap in the literature. • Novel framework better integrating synergies between EnMPs and I4.0 technologies. • Increased awareness offered on the roles of I4.0 technologies and EnMPs in manufacturing. • Several areas of impact were identified and analyzed for selected I4.0 technologies and EnMPs. • Data collection and analysis are the most implemented I4.0 technologies for EE.","url":"https://doi.org/10.1016/j.apenergy.2025.125877","authors":["Enrico Cagno","Davide Accordini","Patrik Thollander","Mariana Andrei","A S M Monjurul Hasan","Sonia Pessina","Andrea Trianni"],"tags":["Energy management","Energy (signal processing)","Business","Environmental economics","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-10","doi":"https://doi.org/10.1016/j.apenergy.2025.125877","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W3035974187","name":"DIGITALIZATION IN INDUSTRY 4.0: THE ROLE OF MOBILE DEVICES","source":"openalex","abstract":"We live in the era of the Fourth Industrial Revolution (I4.0), where physical development has slowed down, and digital development takes most of its place. If we look at our own lives, we see that we are using digital technologies almost every part of our life already. If we use its potential, we can highly increase our performance and efficiency. Nowadays, every part of a modern business is controlled by an Enterprise Resource Planning (ERP) system, which needs huge variety of digital devices. Most of the companies use their system access points as stationary machines or some mobile devices for higher ranking employees. In this paper we give an example what will happen if every company worker has access to the system through mobile devices, where we consider the Return of Investment based on standard data, that can be collected in every company.","url":"https://doi.org/10.24867/jpe-2020-01-075","authors":["Henriett Matyi","Peter Vereš","Tamás Bányai","Vasily Demin","Péter Tamás"],"tags":["Variety (cybernetics)","Mobile device","Enterprise resource planning","Telecommunications","Investment (military)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-19","doi":"https://doi.org/10.24867/jpe-2020-01-075","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4390086929","name":"Key factors to enhance efficacy of 3D digital environments for transformative landscape and urban planning","source":"openalex","abstract":"The unprecedented expansion of digital technologies has led to a rapid increase in the development and application of 3D digital environments for landscape and urban planning in the past two decades. Considering the significant challenges in guiding human societies towards sustainability, these technologies must not only assist decision-makers in adapting to changes but promote fast, transformative shifts in the relationship between human societies and nature. Based on a set of global exemplars, this Perspective Essay outlines six key factors that can enhance efficacy of 3D digital environments to guide knowledge-informed landscape and urban planning. We call for (1) explicitly representing dynamic interplay between the social, ecological, and technical systems, (2) exploring the integration of design with simulation models to address cross-scale dynamics, (3) developing features to foster imagination, (4) employing multisensory stimuli to encourage profound changes in environmentally and socially sustainable behavior, (5) tailoring the incorporation of active sensing by and with non-experts into 3D digital environments to better acknowledge indigenous and local knowledge systems, and finally, (6) carrying out a usability evaluation to facilitate participation and collaboration in an efficient co-creation process. We conclude by recommending the establishment of a collaborative knowledge platform that unites researchers, developers, and stakeholders for stimulating social-ecological-technological system thinking in the development of 3D digital environments and harnessing the technological advancements to accelerate and drive the needed transformative change within urban and landscape planning.","url":"https://doi.org/10.1016/j.landurbplan.2023.104978","authors":["Adrienne Grêt‐Regamey","Nora Fagerholm"],"tags":["Transformative learning","Usability","Sustainability","Process (computing)","Scenario planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-21","doi":"https://doi.org/10.1016/j.landurbplan.2023.104978","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4399374482","name":"The role of leadership in managing digital transformation: A systematic literature review","source":"openalex","abstract":"Digital transformation should not be seen as a time-bound project, but rather as a process that needs to be continuously improved and managed over time. In the absence of leadership, digital transformation will occur spontaneously in an organisation, but it is necessary to monitor and manage the process itself to achieve the goal and establish a digital organisation. A person who leads the digital transformation must possess the appropriate competencies. Leadership competencies, especially the combination of digital and human skills, are crucial to the development and success of the digital transformation process. The authors of this article identify a vaguely described process of digital transformation as the main research problem, highlighting the need for the systematisation of leadership competencies necessary for effective digital transformation management. In this regard, the research objectives are to define and describe the process of digital transformation and identify the leadership competencies necessary for successful management of the digital transformation process. In order to achieve the objectives of the paper, a systematic literature review was conducted for the period 2001–2022 and 90 papers were identified based on the criteria outlined by the Web of Science and Scopus index databases. The identified papers were then analysed from the aspect of defining digital transformation, the activities of the digital transformation process, and the characteristics of digital leadership. Following a thorough analysis of the selected literature, the paper provides a comprehensive definition of digital transformation, proposes a framework for its management, and analyses the key competencies of digital transformation leaders (digital leaders), which together make up the paper’s main contribution. The paper can be used not only as a starting point for future research in this area, but also as initial guidelines for the implementation and management of the digital transformation process. The systematic literature review conducted has certain limitations. Only two, albeit the largest, citation databases were searched, and only papers in English were identified. The established framework should be verified and expanded through empirical research.","url":"https://doi.org/10.15240/tul/001/2024-2-006","authors":["Lazar Raković","Slobodan Marić","Lena Đorđevic Milutinović","Vuk Vuković","Radmila Bjekić"],"tags":["Transformation (genetics)","Digital transformation","Political science","Knowledge management","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.15240/tul/001/2024-2-006","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402536066","name":"AI-enabled smart manufacturing boosts ecosystem value capture: The importance of servitization pathways within digital-intensive industries","source":"openalex","abstract":"Understanding successful pathways for manufacturers to capture value within the service ecosystem framework is a recent and still nascent area of research that requires further investigation and growth. Within industrial settings, artificial intelligence (AI) constitutes an enabling technology that can be integrated across a network of products and systems, driving the transformation of these service ecosystems. From this perspective, this study proposes that the symbiotic convergence between AI-enabled smart manufacturing, which facilitates process and product enhancements, and servitization, which enables product availability and customization, contributes to a higher level of ecosystem value capture. To address this issue, a research model employing Smart Partial Least Squares was developed to examine the interplay between these constructs. By using survey data from a purposively selected sample of servitized manufacturing firms, the findings reveal the synergistic effects of integrating AI-enabled smart manufacturing and servitization. Furthermore, the results indicate variances across industrial sectors, and highlight that in digitally-intensive industries, service business models have undergone more substantial transformations, fostering accelerated ecosystem development streamlined by customization. Conversely, in digitally-augmented industries, where inputs are digital but products are predominantly analog, digital capabilities are primarily confined to production processes.","url":"https://doi.org/10.1016/j.ijpe.2024.109411","authors":["Óscar F. Bustinza","Luis Miguel Molina Fernández","Ferrán Vendrell-Herrero","Marco Opazo‐Basáez"],"tags":["Business","Value creation","Smart manufacturing","Industry 4.0","Value (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-14","doi":"https://doi.org/10.1016/j.ijpe.2024.109411","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4401259171","name":"Digital Transformation Strategies to Strengthen Quality and Data Integrity in Pharma","source":"openalex","abstract":"The pharmaceutical industry is experiencing a significant digital transformation driven by the need to enhance efficiency, product quality, and regulatory compliance in an increasingly complex environment. This study examines the impact of digital transformation on data integrity and quality management systems (QMS) in the pharmaceutical sector. Through a comprehensive systematic literature review, the research explores the underlying reasons for digital transformation, identifies key challenges in implementing digitally enabled QMS, and evaluates the benefits of regulatory compliance through digital technologies. The study also investigates future trends and opportunities in the digital transformation of pharmaceutical QMS, including adopting blockchain, the Internet of Things (IoT), artificial intelligence, and machine learning. Findings indicate that while digital transformation offers substantial benefits in improving data integrity, streamlining processes, and enhancing regulatory compliance, pharmaceutical companies face significant challenges in implementation, including legacy system integration, data standardization, and organizational resistance to change. The article highlights the importance of a strategic, comprehensive, and collaborative approach to digital transformation, encompassing technology, people, processes, and partnerships.","url":"https://doi.org/10.5539/ijbm.v19n5p16","authors":["Pravin Ullagaddi"],"tags":["Business","Quality (philosophy)","Digital transformation","Transformation (genetics)","Data integrity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-02","doi":"https://doi.org/10.5539/ijbm.v19n5p16","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402487782","name":"USING DIGITAL TWINS TO ENSURING INFORMATION SECURITY OF CYBERPHYSICAL SYSTEMS - 1","source":"openalex","abstract":"Цель исследования -работа посвящена исследованию методов использования цифровых двойников с целью обеспечения информационной безопасности киберфизических систем.Методология проведения работы.При проведении исследований использовался системный анализ для анализа области применения цифровых двойников, их классификаций и моделей взаимодействия.При разработке прототипа цифрового двойника использовались математические модели, основанные на теории автоматов.Результат: в результате исследования были рассмотрены понятия киберфизической системы и цифрового двойника, приведены существующие методы обеспечения информационной безопасности киберфизических систем, получены методы, повышающие информационную безопасность при синхронизации цифрового двойника и киберфизической системы, рассмотрены этапы обеспечения информационной безопасности с использованием цифрового двойника, причины преимущества цифрового двойника для промышленности, а также существующие протоколы по которым киберфизические системы взаимодействуют с киберпространством.Область применения результатов.Полученные результаты не противоречат существующим нормативным документам по защите КИИ и могут быть использованы для повышения эффективности систем защиты информации в КИИ на этапах их проектирования и мониторинга работы.Научная новизна.Предложена концептуальная модель цифровых двойников и классификация решаемых ими задач.","url":"https://doi.org/10.21681/2311-3456-2024-4-140-144","authors":[],"tags":["Computer security","Computer science","Information security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.21681/2311-3456-2024-4-140-144","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403534921","name":"Design, Development and Maintenance of a Digital Twin of vitrification process: a methodological contribution","source":"openalex","abstract":"This paper explores the concept of the digital twin introduced by Industry 4.0. Classically considered, a digital twin serves as a virtual replica or a physical asset, enabling various usages such as real-time monitoring, predictive maintenance management, or optimization. The application case is a continuous vitrification process developed in France for the treatment of final nuclear waste here supported by various physical prototypes. Using both normative references and concepts and principles from Model Based Systems and Software Engineering (MBSSE), the contribution introduces a methodological approach for the design, implementation and maintenance of a so-called digital twin system. Through case studies and analysis, the paper intents to demonstrate the potential of this approach in improving vitrification process for nuclear waste.","url":"https://doi.org/10.1109/codit62066.2024.10708207","authors":["G. Galand","Souad Rabah","Vincent Chapurlat","Caroline Chabal","Alain Ledoux"],"tags":["Vitrification","Process (computing)","Computer science","Programming language","Nuclear physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-01","doi":"https://doi.org/10.1109/codit62066.2024.10708207","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4409151876","name":"Strategic Sustainability Initiatives and the Circular Economy: Insights From Firm‐Level Targets, Board Dynamics, Stakeholder Pressure, and Digital Transformation","source":"openalex","abstract":"ABSTRACT This study contributes to the literature on sustainability, innovation, and corporate governance by advancing the understanding of the circular economy (CE) through an analysis of firm‐level sustainability targets, board dynamics, stakeholder pressure, and digital transformation within firms in the MENA region. Drawing on resource‐based, stakeholder, and innovation theories, we developed models linking sustainability targets and board dynamics to CE performance, with stakeholder pressure as a mediator and digital transformation as a moderator. We tested these hypotheses using data from 647 publicly listed manufacturing companies in the MENA region, spanning 2010–2022. By employing robust econometric techniques, we found strong evidence that embedding sustainability incentives in executive compensation and implementing structured sustainability initiatives significantly enhance CE performance. Additionally, effective boardroom characteristics positively influence CE adoption, while stakeholder pressure mediates the relationship between sustainability targets, board dynamics, and CE performance. Similarly, digital transformation reinforces sustainability governance, strengthening the role of board dynamics and sustainability targets in driving CE adoption. Finally, our findings highlight regional and performance‐based differences in how MENA firms implement sustainability targets and board dynamics to influence CE outcomes. The results remain consistent after multiple robustness tests, including rolling window analysis, sensitivity analysis, and endogeneity tests. The findings emphasize the need for incentive‐driven policies that integrate CE principles into corporate governance, promote sustainability‐linked executive compensation, enhance board diversity, and support digital transformation initiatives. Policymakers should also standardize CE reporting frameworks to align with global sustainability commitments, ensuring transparency, accountability, and long‐term sustainability adoption.","url":"https://doi.org/10.1111/beer.12818","authors":["Abednego Osei","Andrew Osei Agyemang","Joana Cobbinah"],"tags":["Sustainability","Stakeholder","Circular economy","Business","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-03","doi":"https://doi.org/10.1111/beer.12818","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4391786327","name":"Twin vocal folds as a novel evolutionary adaptation for vocal communications in lemurs","source":"openalex","abstract":"Primates have varied vocal repertoires to communicate with conspecifics and sometimes other species. The larynx has a central role in vocal source generation, where a pair of vocal folds vibrates to modify the air flow. Here, we show that Madagascan lemurs have a unique additional pair of folds in the vestibular region, parallel to the vocal folds. The additional fold has a rigid body of a vocal muscle branch and it is covered by a stratified squamous epithelium, equal to those of the vocal fold. Such anatomical features support the hypothesis that it also vibrates in a manner like the vibrations that occur in the vocal folds. To examine the acoustic function of the two pairs of folds, we made a silicone compound model to demonstrate that they can simultaneously vibrate to lower the fundamental frequency and increase vocal efficiency. Similar acoustic effects are achieved using different features of the larynx for the other primates, e.g., by vibrating multiple sets of ventricular folds in several species and further by an evolutionary modification of enlarged larynx in howler monkeys. Our multidisciplinary approaches found that these functions were acquired through a unique evolutionary adaptation of the twin vocal folds in Madagascan lemurs.","url":"https://doi.org/10.1038/s41598-024-54172-z","authors":["Kanta Nakamura","Mayuka Kanaya","Daisuke Matsushima","Jacob C. Dunn","Hideki Hirabayashi","Kiminori Sato","Isao T. Tokuda","Takeshi Nishimura"],"tags":["Lemur","Vocal folds","Vocal communication","Adaptation (eye)","Speech recognition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-13","doi":"https://doi.org/10.1038/s41598-024-54172-z","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7134065245","name":"Digital Twins at the Edge: A High-Availability Framework for Resilient Data Processing in IoT Sensor Networks","source":"openalex","abstract":"The expansion of Internet-of-Things deployments at the network edge challenges service continuity, as single points of failure can interrupt critical data-processing pipelines. This paper introduces the Operational Digital Twin (ODT) —a live, state-synchronized standby system designed for node-level failover in resource-constrained edge environments. In contrast to Digital Twins designed for modeling and analysis, an ODT is designed for operational continuity, standing ready to assume control when the primary node fails. We instantiate this concept through a self-configuring, high-availability architecture that implements the ODT for node-level redundancy. To ground this new conceptual category empirically, we define and validate four measurable criteria for ODT fidelity—state fidelity, synchronization timeliness, behavioral mirroring, and failover validation—establishing a framework that extends beyond passive replication. The design adopts a primary–secondary model with automated node discovery, configuration mirroring, and Virtual IP-based failover. Fault-injection experiments demonstrate low failover latency, prompt service restoration, limited message loss during transitions, and minimal resource overhead. These findings demonstrate that the proposed Operational Digital Twin mechanism reduces single points of failure and provides a lightweight, cost-efficient approach to sustaining reliable data processing in distributed edge environments.","url":"https://doi.org/10.3390/fi18030137","authors":["Madalin Enache Roxana Cojoc Simona Neagu","Codruta Maria Serban","Anca Hângan","Gheorghe Sebestyen"],"tags":["Failover","Computer science","Interrupt","Distributed computing","Node (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-06","doi":"https://doi.org/10.3390/fi18030137","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4414460644","name":"Application of a Digital Twin Model in an Operational System for Monitoring Railway Bridges","source":"openalex","abstract":"This paper addresses the current issues of the design, operation and monitoring of bridge structures in the context of digitalisation within the transport industry. Purpose: To develop digital twins to improve the reliability and safety of operational bridge structures. Method: The case study of an operational railway bridge highlights the limitations of traditional infrastructure management approaches. The authors propose a solution based on digital twins: a comprehensive system comprising interconnected virtual models and physical structures, as well as automated and periodic monitoring systems and supervisory measures. This solution allows the technical condition of facilities to be monitored in real time. Results: This paper describes a digital information model of the bridge that has been adapted for monitoring individual indicators such as deformation and frequency. A notable feature of the model is its ability to dynamically detail elements, thereby reducing the computational load. Additionally, it proposes an automated assessment of not only the monitoring system sensor readings with calculated boundary parameters, but also of the existing regulatory requirements. This approach enables rapid identification of deviations that significantly reduce the safety of rolling stock movement. Practical significance: This study confirms that digital twins enhance the reliability of bridges by predicting defects and enabling a rapid response. The authors emphasize the importance of developing a domestic regulatory framework and implementing machine learning to analyse long-term trends in the technical condition of structures. The study’s findings suggest that digital twins have the potential to ensure the sustainability of transport infrastructure in the face of increasing loads.","url":"https://doi.org/10.20295/1815-588x-2025-3-831-838","authors":["Ivan Chaplin","Aleksey Patornyak","Stefan Efimov"],"tags":["Bridge (graph theory)","Reliability (semiconductor)","Context (archaeology)","Condition monitoring","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-19","doi":"https://doi.org/10.20295/1815-588x-2025-3-831-838","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7117167632","name":"From Local to Global Perspective in AI-Based Digital Twins in Healthcare","source":"openalex","abstract":"Digital twins (DTs) powered by artificial intelligence (AI) are becoming important transformational tools in healthcare, enabling real-time simulation and personalized decision support at the patient level. The aim of this review is to critically examine the evolution, current applications, and future potential of AI-based DTs in healthcare, with a particular focus on their role in enabling real-time simulation and personalized patient-level decision support. Specifically, the review aims to provide a comprehensive overview of how AI-based DTs are being developed and implemented in various clinical domains, identifying existing scientific and technical gaps and highlighting methodological, regulatory, and ethical issues. Taking a “local to global” perspective, the review aims to explore how individual patient-level models can be scaled and integrated to inform population health strategies, global data networks, and collaborative research ecosystems. This will provide a structured foundation for future research, clinical applications, and policy development in this rapidly evolving field. Locally, DTs allow medical professionals to model individual patient physiology, predict disease progression, and optimize treatment strategies. Hospitals are implementing AI-based DT platforms to simulate workflows, efficiently allocate resources, and improve patient safety. Generative AI further enhances these applications by creating synthetic patient data for training, filling gaps in incomplete records, and enabling privacy-respecting research. On a broader scale, regional health systems can use connected DTs to model population health trends and predict responses to public health interventions. On a national scale, governments and policymakers can use these insights for strategic planning, resource allocation, and increasing resilience to health crises. Internationally and globally, AI-based DTs can integrate diverse datasets across borders to support research collaboration and improve early pandemic detection. Generative AI contributes to global efforts by harmonizing heterogeneous data, creating standardized virtual patient cohorts, and supporting cross-cultural medical education. Combining local precision with global insights highlights DTs’ role as a bridge between personalized and global health. Despite the efforts of medical and technical specialists, ethical, regulatory, and data governance challenges remain crucial to ensuring responsible and equitable implementation worldwide. In conclusion, AI-based DTs represent a transformative paradigm, combining individual patient care with systemic and global health management. These perspectives highlight the potential of AI-based DTs to bridge precision medicine and public health, provided ethical, regulatory, and governance challenges are addressed responsibly.","url":"https://doi.org/10.3390/app16010083","authors":["Maciej Piechowiak","Aleksander Goch","Ewelina Panas","Jolanta Masiak","Dariusz Mikołajewski","Izabela Rojek","Emilia Mikołajewska"],"tags":["Health care","Management science","Knowledge management","Population","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-21","doi":"https://doi.org/10.3390/app16010083","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7114919867","name":"Future Care: Artificial Intelligence and the New Age of Digital Health","source":"openalex","abstract":"The change in healthcare is deep-seated, yet it has been brought about by the dynamics of artificial intelligence (AI), of which it has never been so powerful. AI is transforming the methods of disease prevention, detection, and management: through smart diagnostics and intelligent monitoring, customized treatments, virtual hospitals, and so on. Known as FutureCare: Artificial Intelligence and the New Age of Digital Health, this book is a guidebook to the novices on the new age of medicine wherein technology and human intelligence meet, providing safer, faster, and more accurate healthcare solutions. This book is created based on the idea of simplification and explanation of complex concepts in medical AI, and doing it in simple, practical, and prospective way. In every chapter, the authors choose one of the main dimensions of the AI-healthcare ecosystem, including diagnostic innovations and robotic surgery, drug discovery, ethics, and global health impact. As a student, researcher, clinician, policymaker, or technologist this book is an attempt to find a new way of looking at how AI will transform the future of health. With a progressive shift to the world of predictive care over reactive, personalized but not generalized, online but not within the clinical walls, the FutureCare model is necessary. This book challenges the reader to envision that future and provides him with the knowledge necessary to make a contribution to this change.","url":"https://doi.org/10.55938/wlp.v2i6.306","authors":["Geetanjali Shukla","Aashna Sinha","Anita Gehlot","Rajesh Singh"],"tags":["Artificial intelligence","Digital health","Applications of artificial intelligence","Health care","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-24","doi":"https://doi.org/10.55938/wlp.v2i6.306","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416627226","name":"Framework for the Application of Digital Twin Technology in Intelligent Production Line Condition Monitoring and Predictive Maintenance","source":"openalex","abstract":"This paper addresses the urgent needs of intelligent manufacturing for highly reliable equipment operation and precise maintenance and delves into the innovative application of digital twin technology in production line condition monitoring and predictive maintenance. By systematically reviewing the core theories of digital twins, multi-source heterogeneous data acquisition and processing technologies, and predictive maintenance methodologies, a five-dimensional integrated framework comprising a physical layer, data layer, model layer, functional layer, and application layer is constructed. This framework innovatively achieves real-time dynamic mapping and bidirectional interaction between physical and virtual spaces, establishes a data-model hybrid-driven mechanism for equipment health status assessment and remaining life prediction, and forms a closed-loop optimization system from condition perception and fault early warning to maintenance decision-making. To verify the effectiveness of the framework, this study conducts a case study using a precision CNC gear machining production line. The results show that the framework can control the latency of critical equipment condition monitoring within 200 milliseconds, improve the accuracy of remaining life prediction by approximately 15% compared to purely data-driven methods, successfully achieve early fault warning, reduce unplanned downtime by 65%, and save maintenance costs by 28%. The research findings provide theoretical guidance and practical examples for achieving precise and forward-looking equipment health management in the context of intelligent manufacturing and have important reference value for promoting the digital transformation of the manufacturing industry.","url":"https://doi.org/10.71451/istaer2572","authors":["Yu Zhang","Mengxi Wang","Jiayi Zhou"],"tags":["Predictive maintenance","Downtime","Condition monitoring","Reliability engineering","Condition-based maintenance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-25","doi":"https://doi.org/10.71451/istaer2572","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4391912820","name":"Does digital transformation promote economic resilience? Urban-level evidence from China","source":"openalex","abstract":"Improving economic resilience has become a regional development goal of policymakers. This study aims to investigate the effects of digital transformation on urban economic resilience and its underlying mechanisms. Based on a sample of 287 prefecture-level cities in China, We find that digital transformation helps improve urban economic resilience, which is robust to different estimations, e.g., 2SLS and staggered DID. Additionally, further analysis indicates that improving the efficiency and stimulating the level of innovation that is associated with digital transformation are likely to be the main mechanisms behind this effect. Our results reveal the following several policy implications. Firstly, formulating policies to develop digital technology and to promote its application is of great significance for achieving a sustainable and resilient economic growth in an increasingly uncertain environment. Secondly, the government should focus on promoting market-oriented reform, reducing government intervention, protecting intellectual property rights, and creating an innovative environment to maximize the effect of digital technology. Thirdly, during the normal periods, accelerating the digitalization process will promote the balanced development among urbans.","url":"https://doi.org/10.1016/j.heliyon.2024.e26461","authors":["Zhiying Ji","Yuting Huang"],"tags":["China","Resilience (materials science)","Transformation (genetics)","Digital transformation","Urbanization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-01","doi":"https://doi.org/10.1016/j.heliyon.2024.e26461","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402287447","name":"Research on Electric Vehicle Power Systems Based on Digital Twin Technology","source":"preprints","abstract":"As a critical component of electric vehicles, the powertrain has a significant impact on the overall performance of the vehicle. In addressing the challenge of lengthy testing cycles, this study develops a para model of the powertrain utilizing digital twin (DT) technology, thereby establishing a framework for simulation testing of multi-controller intermodulation. The research conducts functional definition coverage testing through the design of specific functional requirement use cases, and it validates the failure mechanism via fault injection use cases. The results indicate that the DT testing platform can effectively simulate the operational interactions among various controllers within the powertrain system. In comparison to traditional field testing, the digital twin-based testing methodology offers enhanced operational efficiency and allows for the examination of testing conditions that are impractical to implement in real vehicles, particularly in the context of fault injection testing, thus facilitating the early detection of potential safety risks within the system. The advancement of this technical solution holds significant practical implications for the future mass production and development of electric vehicles.","url":"https://doi.org/10.20944/preprints202409.0360.v1","authors":["Chong Li","Mei Jian Lei","Liangyi Yang","Wei Xu","Yong You"],"tags":["Electric vehicle","Power (physics)","Computer science","Automotive engineering","Electrical engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202409.0360.v1","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4413203232","name":"Enhancing intellectual property identification and valuation in manufacturing through digital twins","source":"openalex","abstract":"This study provides a transdisciplinary and empirical examination of the efficacy of digital twin technology in enhancing intellectual property (IP) identification and valuation within the manufacturing sector. Focusing on a sample of 51 automotive manufacturers in the United Kingdom and Brazil, we address a critical gap in the existing literature by offering empirical evidence of standardised digital twins' practical benefits in IP management, a domain that has been predominantly theoretical until now. Using a mixed-methods research design, we employed 1) A standardized digital twin sub-model for representing IP assets using Asset Administration Shell principles; and 2) Questionnaires assessing current IP identification practices and perceived IP asset values before and after digital twin implementation. Utilizing the Income Approach and the Relief from Royalty Method in adherence to International Valuation Standards, our findings reveal a significant increase in both the number of identified IP assets and their overall valuation post-implementation. We empirically assess the impact of digital twins on IP practices in manufacturing by integrating engineering, legal and innovation management perspectives. Reliability and validity of the results are underpinned by a rigorous systematic methodology, including appropriate statistical analyses and thematic examinations of participant feedback. Across the 51 automotive manufacturers participating in this study, the mean number of identified IP assets rose by 35 % (from 72 to 98 assets, Z = −5.63, p < 0.001) and the mean portfolio valuation more than doubled from USD 23.2m–53.8m (Z = −5.22, p < 0.001). These results demonstrate the method's ability to surface hidden intangible value that can subsequently be monetised.","url":"https://doi.org/10.1016/j.ijpe.2025.109767","authors":["Marcos Kauffman","Marcelo Negri Soares","Tengfei Long","Lara Harris","Jarbas Rodrigues Gomes Cugul","Welington Júnior Jorge Manzato","Kathy Zhang"],"tags":["Valuation (finance)","Intellectual property","Identification (biology)","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-12","doi":"https://doi.org/10.1016/j.ijpe.2025.109767","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402261802","name":"AI4WATER: A Digital Twin for Irrigated Agriculture","source":"openalex","abstract":"This study presents a Digital Twin (DT) that is being created to optimize the use of the available hydric resources, and mitigate the effects of the increasing water shortage in irrigated agriculture in fields in the Urgell channel region (Lleida). A DT is \"a virtual representation of an object or system that spans its lifecycle, it is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.\" It will model the water fluxes using the knowledge of the amounts of water taken in, used, and returned to the environment, and other parameters that impact the water budget, such as atmospheric variables (temperature, water vapor deficit, relative humidity, solar radiance…), surface soil moisture, and evapotranspiration maps, etc. Satellite Earth Observation (EO) data, collocated with in-situ data from a network of 20 soil moisture probes and 2 meteo stations will be used to train the DT. Additionally, a rover-based ground penetrating radar will be used for cross-calibration.","url":"https://doi.org/10.1109/igarss53475.2024.10641740","authors":["Adriano Camps","Carlos López-Martínez","A. Gonga","G. Gracia","Adrián Pérez-Portero","Alberto Alonso-González","M. Vall‐llossera","Hyuk Park","V. Pérez","O. Caselles","C. Domenech","Pau Català"],"tags":["Agriculture","Computer science","Agricultural engineering","Engineering","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-07","doi":"https://doi.org/10.1109/igarss53475.2024.10641740","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4414347466","name":"A Data-Driven Urban Digital Twin Approach for Evaluating Positive Energy District Potential Using OGC Standards in Stuttgart","source":"openalex","abstract":"Abstract. This article introduces an urban digital twin workflow based on OGC standards and newly developed Energy ADE 2.0 that integrates building-scale simulations from SimStadt with district-level assessments using MAPED, connected through interactive web-based visualisation. This approach delivers a modular, open-source pipeline that harmonises multi-scale energy data and enables data-driven scenario analysis and stakeholder engagement in support of net-positive energy planning for urban districts. By connecting detailed simulation tools with standardised, spatially linked data models, the study advances the methodological foundation for assessing Positive Energy Districts (PED) using digital technologies and provides a practical decision-support system for planners and policy-makers involved in sustainable urban transformation.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-w16-2025-67-2025","authors":["Rushikesh Padsala","Basak Falay","Ali Hainoun","Volker Coors"],"tags":["Workflow","Energy (signal processing)","Pipeline (software)","Computer science","Urban planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-19","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-w16-2025-67-2025","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4393968657","name":"On future power system digital twins: A vision towards a standard architecture","source":"openalex","abstract":"The energy sector's digital transformation brings mutually dependent communication and energy infrastructure, tightening the relationship between the physical and the digital world. Digital twins (DT) are the key concept for this. This paper initially discusses the evolution of the DT concept across various engineering applications before narrowing its focus to the power systems domain. By reviewing different definitions and applications, the authors present a new definition of DTs specifically tailored to power systems. Based on the proposed definition and extensive deliberations and consultations with distribution system operators, energy traders, and municipalities, the authors introduce a vision of a standard DT ecosystem architecture that offers services beyond real-time updates and can seamlessly integrate with existing transmission and distribution system operators' processes while reconciling with concepts such as microgrids and local energy communities based on a system-of-systems view. The authors also discuss their vision related to the integration of power system DTs into various phases of the system's life cycle, such as long-term planning, emphasising challenges that remain to be addressed, such as managing measurement and model errors, and uncertainty propagation. Finally, the authors present their vision of how artificial intelligence and machine learning can enhance several power systems DT modules established in the proposed architecture.","url":"https://doi.org/10.48550/arxiv.2404.02568","authors":["Wouter Zomerdijk","Peter Pálenský","Tarek AlSkaif","Pedro P. Vergara"],"tags":["Architecture","Power (physics)","Computer science","History","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-03","doi":"https://doi.org/10.48550/arxiv.2404.02568","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4406223934","name":"A digital twin technique using external observational data to reduce sample sizes in clinical trials on Alzheimer’s disease","source":"openalex","abstract":"Abstract Background Randomized placebo‐controlled trials (RCTs) are the gold standard to evaluate efficacy of new drug treatments for Alzheimer’s disease. For example, the United States FDA approved the brain amyloid‐targeting drug lecanemab following CLARITY AD, Biogen and Eisai’s Phase 3 RCT. However, recruiting enough participants for a high‐powered and demographically representative trial is difficult and expensive. Fortunately, historical patient data from existing external observational studies of a disease can help populate RCTs [Thorlund et al. (2020). https://doi.org/10.2147/CLEP.S242097 ]. We propose a new trial framework that uses an external study to source “digital twins” for each trial participant. Using computer‐simulated trials mimicking CLARITY AD’s demographics and 18‐month duration, we show that our digital twin trial (DTT) has increased power compared to a conventional RCT. Method A continuous time linear mixed model tracked CDRSB change‐from‐baseline (CDRSBΔbl) trajectories in 670 ADNI participants satisfying CLARITY AD inclusion criteria [clinicaltrials.gov/study/NCT03887455]. To simulate an RCT, we resampled and added noise to participants’ data, generating a desired sample size of “recruited” participants who we randomized 1:1 to “drug” and “placebo” groups. We calculated participants’ CDRSBΔbl scores at 18 months and simulated the drug effect as a 25% reduction in CDRSBΔbl. For each participant in our DTT, we used Gower’s distance on demographic and clinical baseline variables to identify 20 most‐similar real ADNI participants (the digital twins) from our original 670. Each original ADNI participant’s 18‐month CDRSBΔbl was calculated using the model. A z‐score was then calculated for each DTT participant’s 18‐month CDRSBΔbl relative to their digital twins. T‐tests were used to evaluate DTT drug vs. placebo group difference in mean z‐score and, separately, RCT group difference in mean 18‐month CDRSBΔbl. We simulated each trial 1,000 times. Power is the proportion of simulations with a statistically significant treatment group difference. Result Figure 1 shows that 90% power is reached with approximately 500 fewer recruited participants in simulated DTTs (∼1,600 participants) compared to RCTs (∼2,100 participants). Conclusion DTTs might require substantially fewer recruited participants to achieve the same power as conventional RCTs. This sample size reduction could facilitate recruitment for trials on Alzheimer’s and in rare diseases with low patient numbers.","url":"https://doi.org/10.1002/alz.086975","authors":["Daniel Andrews","D. Louis Collins","the Alzheimer’s Disease Neuroimaging Initiative"],"tags":["Randomized controlled trial","Observational study","Medicine","Placebo","Clinical trial"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-01","doi":"https://doi.org/10.1002/alz.086975","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4405750668","name":"Technological Drivers and Barriers for Digital Twin Adoption in the Malaysian Construction Industry","source":"openalex","abstract":"Digital twin (DT) technology can potentially boost project performance and decision-making across various industries, including construction. However, the Malaysian construction sector encounters various barriers to its implementation. This paper aims to explore the barriers and drivers associated with the adoption of digital twin technology in Malaysia’s construction industry. Specifically, it aims to identify obstacles to adoption and propose technological drivers that could facilitate its integration into construction practices. A total of 23 journal articles were meticulously reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In addition, data from 97 responses collected from G7 construction professionals were analysed using the Statistical Package for Social Sciences (SPSS). The study uncovers various barriers hindering the adoption of digital twin technology in the Malaysian construction industry. These barriers include financial uncertainties, technological complexity, lack of standardisation, cyber security concerns and issues related to intellectual property rights. Furthermore, barriers arise from the novelty of the technology, the diversity of source systems, and interoperability issues. Moreover, the study categorizes the identified drivers into distinct categories and sub-themes, focusing on principles, production, operational performance and preservation. The findings indicate that overcoming these barriers and utilising the identified factors could accelerate the implementation of digital twin technology in the Malaysian construction industry. This study adds to the existing knowledge base and provides insights to encourage the spread of digital twin technology in Malaysia.","url":"https://doi.org/10.37934/araset.54.1.331350","authors":["Muneera Esa","Praveena Munianday","Jahanzeb Asim"],"tags":["Business","Industrial organization","Construction engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-25","doi":"https://doi.org/10.37934/araset.54.1.331350","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4405993426","name":"Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions","source":"pubmed","abstract":"This paper provides the complete details of current challenges and solutions in the cybersecurity of cyber-physical systems (CPS) within the context of the IIoT and its integration with edge computing (IIoT-edge computing). We systematically collected and analyzed the relevant literature from the past five years, applying a rigorous methodology to identify key sources. Our study highlights the prevalent IIoT layer attacks, common intrusion methods, and critical threats facing IIoT-edge computing environments. Additionally, we examine various types of cyberattacks targeting CPS, outlining their significant impact on industrial operations. A detailed taxonomy of primary security mechanisms for CPS within IIoT-edge computing is developed, followed by a comparative analysis of our approach against existing research. The findings underscore the widespread vulnerabilities across the IIoT architecture, particularly in relation to DoS, ransomware, malware, and MITM attacks. The review emphasizes the integration of advanced security technologies, including machine learning (ML), federated learning (FL), blockchain, blockchain-ML, deep learning (DL), encryption, cryptography, IT/OT convergence, and digital twins, as essential for enhancing the security and real-time data protection of CPS in IIoT-edge computing. Finally, the paper outlines potential future research directions aimed at advancing cybersecurity in this rapidly evolving domain.","url":"https://doi.org/10.3390/s25010213","authors":["Tamara Zhukabayeva","Lazzat Zholshiyeva","Nurdaulet Karabayev","Shafiullah Khan","Noha Alnazzawi","Zhukabayeva T","Zholshiyeva L","Karabayev N","Khan S","Alnazzawi N"],"tags":["Computer security","Computer science","Edge computing","Context (archaeology)","Industrial Internet"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 2","doi":"https://doi.org/10.3390/s25010213","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4365134817","name":"Patient‐centered digital biomarkers for allergic respiratory diseases and asthma: The ARIA‐EAACI approach – ARIA‐EAACI Task Force Report","source":"openalex","abstract":"Biomarkers for the diagnosis, treatment and follow-up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice. The digital transformation of health and health care (including mHealth) places the patient at the center of the health system and is likely to optimize the practice of allergy. Allergic Rhinitis and its Impact on Asthma (ARIA) and EAACI (European Academy of Allergy and Clinical Immunology) developed a Task Force aimed at proposing patient-reported outcome measures (PROMs) as digital biomarkers that can be easily used for different purposes in rhinitis and asthma. It first defined control digital biomarkers that should make a bridge between clinical practice, randomized controlled trials, observational real-life studies and allergen challenges. Using the MASK-air app as a model, a daily electronic combined symptom-medication score for allergic diseases (CSMS) or for asthma (e-DASTHMA), combined with a monthly control questionnaire, was embedded in a strategy similar to the diabetes approach for disease control. To mimic real-life, it secondly proposed quality-of-life digital biomarkers including daily EQ-5D visual analogue scales and the bi-weekly RhinAsthma Patient Perspective (RAAP). The potential implications for the management of allergic respiratory diseases were proposed.","url":"https://doi.org/10.1111/all.15740","authors":["Jean Bousquet","Mohamed H. Shamji","Josep M. Antó","Holger J. Schünemann","Giorgio Walter Canonica","Marek Jutel","Stefano Del Giacco","Torsten Zuberbier","Oliver Pfaar","João Fonseca","Bernardo Sousa‐Pinto","Ludger Klimek"],"tags":["Medicine","Asthma","Allergen immunotherapy","Quality of life (healthcare)","Allergy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-12","doi":"https://doi.org/10.1111/all.15740","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4396645954","name":"An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles","source":"openalex","abstract":"Simulation is a fundamental tool in developing autonomous vehicles, enabling rigorous testing without the logistical and safety challenges associated with real-world trials. As autonomous vehicle technologies evolve and public safety demands increase, advanced, realistic simulation frameworks are critical. Current testing paradigms employ a mix of general-purpose and specialized simulators, such as CARLA and IVRESS, to achieve high-fidelity results. However, these tools often struggle with compatibility due to differing platform, hardware, and software requirements, severely hampering their combined effectiveness. This paper introduces BlueICE, an advanced framework for ultra-realistic simulation and digital twinning, to address these challenges. BlueICE's innovative architecture allows for the decoupling of computing platforms, hardware, and software dependencies while offering researchers customizable testing environments to meet diverse fidelity needs. Key features include containerization to ensure compatibility across different systems, a unified communication bridge for seamless integration of various simulation tools, and synchronized orchestration of input and output across simulators. This framework facilitates the development of sophisticated digital twins for autonomous vehicle testing and sets a new standard in simulation accuracy and flexibility. The paper further explores the application of BlueICE in two distinct case studies: the ICAT indoor testbed and the STAR campus outdoor testbed at the University of Delaware. These case studies demonstrate BlueICE's capability to create sophisticated digital twins for autonomous vehicle testing and underline its potential as a standardized testbed for future autonomous driving technologies.","url":"https://doi.org/10.48550/arxiv.2405.01328","authors":["Yuankai He","Hanlin Chen","Weisong Shi"],"tags":["Crystal twinning","Computer science","Materials science","Metallurgy","Microstructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-02","doi":"https://doi.org/10.48550/arxiv.2405.01328","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4413251033","name":"Digital Twins and Urban SDGs Simulating Smart Cities for Sustainable Development","source":"openalex","abstract":"Digital Twins has transformed the way an urban environment can be managed and operated by developing digital twins of physical systems through real-time emulation. With the urbanization phenomenon occurring around cities, which is accompanied by population growth, climate changes, and other resource limitations, including Digital Twins in the process of urban planning has become one of the most important facilitators of reaching the United Nations Sustainable Development Goals (SDGs). This paper addresses the possibility to use Digital Twin technologies in order to simulate, monitor, and optimise a range of elements of smart cities, including infrastructure, energy systems, mobility, and environmental health to be in the harmony with the urban SDG goals. Using an extensive analysis of existing implementations, simulation frameworks, and impact analysis frameworks, the paper offers a design methodology of SDG-driven Digital Twins of cities. The outcomes show how these systems have the potential to enhance policy-making, active citizens involvement, and proper utilization of resources. The discussion provides the barriers and perspectives to global urban sustainability that needs to be done to scale such technologies.","url":"https://doi.org/10.64252/1cnfta43","authors":["Vijayanand Selvaraj"],"tags":["Implementation","Urbanization","Sustainability","Sustainable development","Urban planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-26","doi":"https://doi.org/10.64252/1cnfta43","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4406906095","name":"The use of digital twin systems in the construction of socio-cyber-physical systems","source":"openalex","abstract":"The modern stage of technology development allows us to create anthropogenic systems that feature a fundamentally new level of complexity compared to existing systems, which for the most part are multilevel heterogeneous distributed systems, which include anthropogenic physical entities, virtual entities, natural objects, living beings, people and human collectives. Such systems can be defined as socio-cyber-physical systems. The article analyzes the current state of technology for building socio-cyber-physical systems, and considers the possibility of using digital twins in their construction. The possible aspects of using digital twin in the construction of this class of systems are considered. This article discusses one of the possible approaches to the construction of socio-cyber-physical systems based on the use of runtime digital twin systems built using a polymodel approach. The proposed approach can be considered as a convergence of several well-known approaches to the construction of sociocyber-physical systems. A reference architecture of the run-time digital twin is proposed, the basis of which is not a monolithic model, but a system of models. Typical models that can be used in the construction of socio-cyber-physical systems are analyzed. One of the key problems facing the developers of socio-cyber-physical systems is the construction of a human model.","url":"https://doi.org/10.21638/spbu10.2024.403","authors":["Alexander Vodyaho","Nataly Zhukova","V. Ya. Ananeva"],"tags":["Cyber-physical system","Computer security","Computer science","Internet privacy","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.21638/spbu10.2024.403","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7155644585","name":"AI-Driven Digital Twin for Predictive Maintenance in Urban Infrastructure: Enhancing Structural Resilience and Sustainability","source":"openalex","abstract":"The increasing complexity of urban infrastructure necessitates more efficient and proactive maintenance strategies. Traditional maintenance approaches often rely on reactive measures, leading to increased costs, unplanned downtime, and potential structural failures. The emergence of Artificial Intelligence (AI)-driven Digital Twin technology offers a promising solution by enabling predictive maintenance through real-time monitoring and advanced analytics. This study aimed to evaluate the effectiveness of AI-driven Digital Twin systems in enhancing predictive maintenance for urban infrastructure. A qualitative case study methodology was employed, analyzing multiple infrastructure projects that integrated Digital Twin technology. Data were collected from project reports, real-time sensor outputs, and expert interviews. The predictive capabilities of machine learning models, including Decision Trees, Support Vector Machines (SVM), and Deep Learning networks, were assessed based on their precision, recall, and F1-score. The results demonstrated that Deep Learning models achieved the highest fault detection accuracy, with an F1-score of 92.5%, outperforming other models. The adoption of Digital Twin systems resulted in a 30% reduction in maintenance costs and a 40% decrease in infrastructure downtime. Additionally, AI-driven predictive maintenance improved fault detection efficiency, reducing the average detection time from 15 days to 3 days. These findings highlight the potential of AI-enhanced Digital Twins in optimizing urban infrastructure resilience, cost efficiency, and sustainability. This study underscores the importance of integrating AI and Digital Twin technologies in predictive maintenance strategies. Future research should focus on addressing implementation challenges, including data security, interoperability, and computational costs, to facilitate broader adoption in smart city development","url":"https://doi.org/10.51903/3c72e647","authors":["Dita Diana","Putri Anindita","Anggi Angga Mukti"],"tags":["Predictive maintenance","Sustainability","Computer science","Risk analysis (engineering)","Predictive analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.51903/3c72e647","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4393150681","name":"Towards A Distributed Digital Twin Framework for Predictive Maintenance in Manufacturing Systems","source":"preprints","abstract":"This study uses a wind turbine case study to showcase an architecture for implementing a distributed digital twin in which all important aspects of a predictive maintenance solution in a DT use a fog computing paradigm, and the typical predictive maintenance DT is improved to offer better asset utilization and management through real time condition monitoring, predictive analytics, and health management of selected components of Wind turbines in a wind farm.. Digital twin (DT) is a technology that sits at the intersection of Internet of Things, Cloud Computing and Software Engineering to provide a suitable tool for replicating physical objects in the digital space. This can facilitate the implementation of asset management in manufacturing systems through predictive maintenance solutions leveraged by Machine Learning (ML). With DTs, a solution architecture can easily use data and software to implement asset management solutions such as Condition Monitoring and Predictive Maintenance using acquired sensor data from physical objects and computing capabilities in the digital space. While DT offers a good solution, it is an emerging technology that could be improved with better standards, architectural framework, and implementation methodologies. Researchers in both academia and industry have showcased DT implementations with different levels of success. However, DTs remain limited in standards and architectures that offer efficient predictive maintenance solutions with real time sensor data, and intelligent DT capabilities. An appropriate feedback mechanism is also needed to improve asset management operations.","url":"https://doi.org/10.20944/preprints202403.1357.v1","authors":["Ibrahim Abdullahi","Stefano Longo","Mohammad Samie"],"tags":["Predictive maintenance","Distributed manufacturing","Computer science","Business","Manufacturing engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202403.1357.v1","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4410871892","name":"A Circular Digital Twin for Climate-Smart Soils through Community Composting","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-87880-0_9","authors":["José Monteiro","João Barata"],"tags":["Environmental science","Soil water","Soil science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-87880-0_9","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416939126","name":"Digital twins as a tool to increase the efficiency and sustainability of the agro-industrial complex","source":"openalex","abstract":"This article examines the applicability and impact of digital twin technologies across the agri-food sector, from field operations to postharvest logistics. Building on a structured review of recent literature and industry cases, we synthesize how physics-based and data-driven twins integrate sensing, IoT, and AI to enable real-time monitoring, scenario analysis, and decision support. We classify agricultural digital twins into four functional groups – crop and livestock production, machinery and maintenance, postharvest handling, and supply-chain coordination – and map them to key performance indicators such as yield stability, resource efficiency, quality preservation, and risk reduction. The analysis identifies consistent benefits, including improved input use, earlier anomaly detection, and more resilient planning under weather and market uncertainty. However, adoption is constrained by data quality and interoperability issues, high initial costs, skills gaps, and unresolved concerns around cybersecurity and governance. We propose a staged implementation framework that prioritizes high-value use cases, lightweight edge analytics, and open data standards, accompanied by a governance model for data sharing. The article contributes a practical roadmap and a set of evaluation metrics that link digital-twin capabilities to farm-level and supply-chain decisions. Limitations relate to heterogeneous evidence and context specificity. Future work should explore integration with generative AI, privacy-preserving learning, and cross-farm platforms.","url":"https://doi.org/10.52957/2782-1927-2025-6-3-45-51","authors":["Aleksandr Berus","Anastasia OSADCHAYA"],"tags":["Interoperability","Context (archaeology)","Computer science","Sustainability","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.52957/2782-1927-2025-6-3-45-51","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4404835058","name":"Enhancing the energy efficiency in district heating networks through digital twins","source":"openalex","abstract":"Europe prioritizes energy efficiency for sustainable development and climate action, with buildings consuming 40% of the EU’s energy and contributing over 30% of CO 2 emissions. To address this, the EU implements policies targeting energy efficiency across sectors like industry, transportation, and district heating. The Energy Efficiency Directive mandates reductions in energy consumption, promoting measures such as energy audits and performance standards. Initiatives like the European Green Deal and Renovation Wave Strategy underscore the importance of energy efficiency in achieving carbon neutrality. District heating systems play a vital role in this strategy, offering Efficient heating solutions for urban areas, and optimizing their operation is a key focus of research. Techniques include mathematical modeling, advanced control strategies, and integration of renewable energy sources. This work focuses on the application of a digital twin to model the district heating network combined with prediction tools to enhance system efficiency. A procedure to integrate physics (white-box) and data-driven (black-box) approaches to foster better-informed decisions in the optimal energy resources management is presented.","url":"https://doi.org/10.1016/j.procs.2024.09.277","authors":["José L. Hernández","Ignacio de Miguel","Fredy Vélez","Pablo Marcos","Javier Martín‐Broto"],"tags":["Computer science","Efficient energy use","Energy (signal processing)","Telecommunications","Electrical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procs.2024.09.277","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4413456445","name":"Digital Twins for Bridge Assessment and Maintenance","source":"openalex","abstract":"The increasing number of aging bridges underscores the need for efficient maintenance to enhance safety and reduce costs. This paper explores integrating digital twin technologies into bridge management to improve maintenance efficiency and accuracy. A 15-year-long simulation demonstrates improved inspection accuracy and efficiency, while a case study on a steel bridge illustrates a prototype implementation. This study advances infrastructure management and guides future digital transformation efforts, promoting interoperability and integration with artificial intelligence (AI) and extended reality (XR).","url":"https://doi.org/10.1109/smartnets65254.2025.11106891","authors":["Ali Sabzi Khoshraftar","Berend Jan van der Zwaag","Duc V. Le","Özlem Durmaz-Incel"],"tags":["Bridge (graph theory)","Computer science","Medicine","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.1109/smartnets65254.2025.11106891","addedAt":"2026-09-01T01:47:32.624Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4402861143","name":"Digital Transformation and its Impact on Organizations","source":"openalex","abstract":"The paper discusses the topic of digital transformation, starting from its definition and examining the literature focusing on several theoretical aspects. The paper argues that digital transformation is not just about technology, but also about people, their mindset, and skills. It is also about rethinking business models and processes to leverage technology for better outcomes. In sum, digital transformation is a complex and multidisciplinary phenomenon that requires a holistic approach. Additionally, this paper aims to address these fundamental questions: What are the factors that impact organizations, and what factors appear to determine the failure of digital transformation in organizations, considering that the majority of organizations seem to struggle in achieving successful digital transformation? Consequently, many organizations find themselves unable to implement a genuine and effective digital transformation, despite their efforts in digital investments. This contribution aims to enrich the literature and enhance knowledge regarding the important issue of digital transformation failures across organizations, also considering the limited research on the factors determining the failure of digital transformation. The originality of the study lies in the metadata analysis carried out, which allows for an efficient and deeper insight into the problem at hand.","url":"https://doi.org/10.5539/ijbm.v19n6p71","authors":["Daniele Schilirò"],"tags":["Transformation (genetics)","Digital transformation","Business","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-26","doi":"https://doi.org/10.5539/ijbm.v19n6p71","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4415623536","name":"Developing Computer Vision-Based Digital Twin for Vegetation Management near Power Distribution Networks","source":"openalex","abstract":"The maintenance of power distribution lines is critically challenged by vegetation encroachment, posing significant risks to the reliability and safety of power utilities. Traditional manual inspection methods are resource-intensive and lack the precision required for effective and proactive maintenance. This paper presents an automated, accurate, and efficient approach to vegetation management near power lines by leveraging advancements in LiDAR as a remote sensing technology and deep learning algorithms. The RandLA-Net model is employed for semantic segmentation of large-scale point clouds to accurately identify vegetation, poles, and power lines. A comprehensive sensitivity analysis is conducted to optimize the model’s hyperparameters, enhancing segmentation accuracy. Post-processing techniques, including clustering and rule-based thresholding, are applied to refine the semantic segmentation results. Proximity detection is applied using spatial queries based on a KDTree structure to assess potential risks of vegetation near power lines. Furthermore, a digital twin of the power distribution network and surrounding trees is developed by integrating 3D object registration and surface generation, enriching it with semantic attributes and incorporating it into City Information Modeling (CIM) systems. This framework demonstrates the potential of remote sensing data integration for efficient environmental monitoring in urban infrastructure. The results of the case study on the Toronto-3D dataset demonstrate the computational efficiency and accuracy of the proposed method, presenting a promising solution for power utilities in proactive vegetation management and infrastructure planning. The optimized full 9-class model achieved an overall accuracy of 96.90% and IoU scores of 97.05% for vegetation, 88.09% for power lines, and 82.33% for poles, supporting comprehensive digital twin creation. An auxiliary 4-class model further improved targeted performance, with IoUs of 99.55% for vegetation, 88.79% for poles, and 87.18% for power lines.","url":"https://doi.org/10.3390/rs17213565","authors":["Fardin Bahreini","Mazdak Nik‐Bakht","Hammad Amin"],"tags":["Computer science","Segmentation","Lidar","Data mining","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-28","doi":"https://doi.org/10.3390/rs17213565","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416958461","name":"The Global Importance of Machine Learning-Based Wearables and Digital Twins for Rehabilitation: A Review of Data Collection, Security, Edge Intelligence, Federated Learning, and Generative AI","source":"openalex","abstract":"The convergence of wearable technologies and digital twin (DT) systems is transforming rehabilitation engineering, enabling continuous monitoring, personalized therapeutic interventions, and predictive modeling of patient recovery pathways. This review examines the growing role of machine learning (ML) in the development and integration of DTs frameworks in rehabilitation, with a focus on wearable sensor data, security and privacy, edge computing architectures, federated learning paradigms, and generative artificial intelligence (GenAI) applications. We first analyze data collection processes, emphasizing multimodal sensing, signal processing, and real-time synchronization between physical and virtual patient models. We then discuss key challenges related to data security, encryption, and privacy protection, especially in distributed clinical environments. The review then assesses the role of edge computing in reducing latency, improving energy efficiency, and enabling real-time local intelligence feedback in wearable devices. Federated learning approaches are discussed as promising strategies for jointly training ML models without compromising sensitive medical data. Finally, we present new GenAI techniques for generating synthetic data, personalizing digital twins, and simulating rehabilitation scenarios. By mapping current progress and identifying research gaps, this article provides a unified view that connects electronic and biomedical engineering with intelligent, secure, and adaptive DT ecosystems for next-generation rehabilitation solutions. Wearable devices with ML and DTs for rehabilitation are developing rapidly, but their current effectiveness still depends on consistent, high-quality data streams and robust clinical validation. The most promising convergence involves combining edge intelligence with federated learning to enable real-time personalization while preserving patient privacy. GenAI further enhances these systems by simulating patient-specific scenarios, accelerating model adaptation, and treatment planning. Key challenges remain related to standardizing data formats, ensuring comprehensive security, and seamlessly integrating these technologies into clinical processes.","url":"https://doi.org/10.3390/electronics14234699","authors":["Maciej Piechowiak","Aleksander Goch","Ewelina Panas","Jolanta Masiak","Dariusz Mikołajewski","Izabela Rojek","Emilia Mikołajewska"],"tags":["Computer science","Wearable computer","Personalization","Edge computing","Wearable technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-28","doi":"https://doi.org/10.3390/electronics14234699","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4416908048","name":"Digital Twins Paradigm: A Systematic Review from the Reinforcement Learning Perspective","source":"openalex","abstract":"The Digital Twins (DT) paradigm has emerged as a powerful tool for simulating and analyzing complex systems in various domains. A DT is a virtual representation of a real-world object(s) whose goal is to accurately emulate real systems, optimize processes, minimize synchronization delays, cut down on overhead, and automate decision-making. DT technology is moving at a faster than expected pace with advances in Artificial Intelligence (AI), Internet of Things (IoT), Distributed Computing, and 5/6G. Being a highly beneficial technology, DT still faces issues of - (1) limited adaptability, (2) incomplete model representation, (3) suboptimal decision making, (4) limited generalization, and (5) scalability and computational efficiency. Reinforcement Learning (RL) offers unsupervised decision-making and intelligence, which can be immensely beneficial in addressing the current challenges faced by DT. This study offers a thorough analysis of the DT paradigm from the standpoint of RL. The survey compares and contrasts existing reinforcement learning-based Digital Twin frameworks, assessing their advantages and disadvantages. Moreover, discussions of approaches highlighting the tradeoffs between simulation fidelity and computing complexity is also studied. Additionally, a thorough understanding of the Digital Twins paradigm from a reinforcement learning perspective, is presented as a helpful resource for academics and industry professionals in the field. Finally, future research directions in this developing field at the nexus of digital modeling, simulation, and artificial intelligence is discussed.","url":"https://doi.org/10.1145/3777367","authors":["Shahmir Khan Mohammed","Shakti Singh","Rabeb Mizouni","Hadi Otrok","Ernesto Damiani"],"tags":["Computer science","Reinforcement learning","Pace","Intellectualization","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-02","doi":"https://doi.org/10.1145/3777367","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4394813098","name":"Brazilian Twin Studies: A Scoping Review","source":"openalex","abstract":"The current study was motivated by an interest in deepening understanding of Brazilian twin research, which is underrepresented internationally, in an effort to rectify this situation. Our aim was threefold: (1) to carry out a comprehensive investigation of Brazilian research on twins according to the area of knowledge; (2) to evaluate the representation of research in the field of psychology in comparison with other areas; (3) to evaluate characteristics of the research that may have contributed to its exclusion from the comprehensive meta-analysis of 50 years of twin research. A scoping review was performed according to PRISMA guidelines. Titles and abstracts were searched up to 2022 in six databases: CAPES, BDLTD, PePSIC, PubMed, Google Scholar, and SciELO, using selected keywords both in Portuguese and in English (e.g., 'twins' and 'Brazil'; 'twinning' and 'Brazil'; 'gemelaridade' [twinning], and 'gêmeos' [twins]). Three hundred and forty publications were included in the review. Approximately half (53.8‰) used the classic twin design to investigate the heritability of several traits, and the other half (46.2%) used other research designs. The scoping review showed that the number of publications doubled approximately every 10 years. Most publications were from the health area, with medicine accounting for approximately half of the studies, followed by psychology, odontology, and biology. We found that the interest in studying twins among Brazilian scientists is increasing over the years and there are reasons to be enthusiastic about the potential impact of this trend in the global scenario.","url":"https://doi.org/10.1017/thg.2024.17","authors":["Eloísa de Souza Fernandes","Isabella França Ferreira","Renata Pereira de Felipe","Nancy L. Segal","Emma Otta"],"tags":["Twin study","Portuguese","PsycINFO","Social science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-01","doi":"https://doi.org/10.1017/thg.2024.17","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4407749165","name":"Integrated Digital-Twin-Based Decision Support System for Relocatable Module Allocation Plan: Case Study of Relocatable Modular School System","source":"openalex","abstract":"Relocatable modular buildings (RMBs) offer significant advantages, including flexibility, mobility, and scalability, making them ideal for temporary or rapidly changing scenarios. However, as the scale and quantity of RMB modules increase, their allocation across projects poses complex logistical challenges. Inefficiencies in traditional manual allocation methods, such as suboptimal module selection, increased transportation costs, and project delays, underscore the need for innovative solutions. This study develops a Digital Twin (DT)-based decision support system to optimize the allocation and management of RMB modules. The proposed framework integrates Building Information Modeling (BIM), Internet of Things (IoT), and Geographic Information Systems (GISs), enabling the real-time synchronization of physical assets with their digital counterparts. The DT framework incorporates real-time data acquisition, dynamic module condition assessments, and an algorithm-driven allocation process to streamline resource utilization and logistics planning. The system is validated through a case study of South Korea’s first relocatable modular school system project, demonstrating its capability to optimize module allocation, reduce costs, and enhance lifecycle management. This study advances RMB management by offering a practical, data-driven approach, empowering facility managers to leverage real-time data for preventive maintenance, asset optimization, and sustainable resource utilization.","url":"https://doi.org/10.3390/app15042211","authors":["Truong Dang Hoang Nhat Nguyen","Yonghan Ahn","Byeol Kim"],"tags":["Modular design","Computer science","Plan (archaeology)","Operations research","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-19","doi":"https://doi.org/10.3390/app15042211","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4392756470","name":"Physical Modeling of a Water Hydraulic Proportional Cartridge Valve for a Digital Twin in a Hydraulic Press Machine","source":"preprints","abstract":"Digital twins are an emerging technology that could be harnessed for the digitalization of the industry. Steel industry systems contain a large number of electro-hydraulic components, as proportional valves. An input-output model for a novel water proportional cartridge valve is derived from physical modelling based on fluid mechanics, dynamics, and electrical principles. The valve is a two-stage valve with two 2/2-way water proportional valves as the pilot stage and a marginally stable poppet-type cartridge valve as the main valve. The orifice equation, which is based on Bernoulli principles, is approximated by a polynomial which makes parameter estimation easier and makes modelling possible without measuring pressure of the varying control volume situated in the pilot stage part of the valve. Data were collected when the valve was operating as a component in a closed-loop system as part of a press-mill machine in a steel manufacturing plant. Parameter estimation was made by convex optimization with physical constraints to overcome problems caused by poor system excitation. For comparison, a simple linear model was derived and the least squares method used for parameter estimation. A thorough estimation of the parameters relative errors is presented. The model contains 5 parameters related to the design parameters of the valve. The modelled position output is in good agreement with experimental data for training and test data. The model can be used for real time monitoring of the valve’s status by the model parameters. One of the model parameters varies linearly with production cycles. Thus, aging of the valve can be monitored.","url":"https://doi.org/10.20944/preprints202403.0124.v1","authors":["Oscar Bautista Gonzalez","Daniel Rönnow"],"tags":["Cartridge","Hydraulic machinery","Engineering","Computer science","Environmental science"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202403.0124.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4413991562","name":"Spectral dynamics of natural and forced supersonic twin-rectangular jet flow","source":"openalex","abstract":"We study the stationary, intermittent and nonlinear dynamics of nominally ideally expanded, natural and forced supersonic twin-rectangular turbulent jets using spectral modal decomposition. We decompose large-eddy simulation data into four reflectional symmetry components about the major and minor axes. In the natural jet, spectral proper orthogonal decomposition (SPOD) uncovers two resonant instabilities antisymmetric about the major axis. Known as screech tones, the more energetic of the two is a steady flapping instability, while the other is an intermittent double-flapping instability. We test the hypothesis that symmetry breaking can be leveraged for control design. Time-periodic forcing symmetric about the major and minor axes is implemented using a plasma actuation model, and succeeds in removing screech from a different symmetry component. We investigate the spectral peaks of the forced jet using an extension of bispectral mode decomposition (BMD), where the bispectrum is bounded by unity and which conditionally recovers the SPOD. We explain the appearance of harmonic peaks as three sets of triadic interactions between reflectional symmetries, forming an interconnected triad network. BMD modes of active triads distil coherent structures comprising multiple coupled instabilities, including Kelvin–Helmholtz, core and guided-jet modes (G-JM). Downstream-propagating core modes can be symmetric or antisymmetric about the major axis, whereas upstream-propagating G-JM responsible for screech closure (Edgington-Mitchell et al. J. Fluid Mech. 945, 2022, p. A8) are antisymmetric only. The dependence of G-JM on symmetry hence translates from the azimuthal symmetry of the round jet to the dihedral group symmetry of the twin-rectangular jet, and explains why the twin jet exhibits antisymmetric but not symmetric screech modes.","url":"https://doi.org/10.1017/jfm.2025.10544","authors":["Brandon Yeung","Oliver T. Schmidt"],"tags":["Jet (fluid)","Supersonic speed","Mechanics","Choked flow","Flow (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-04","doi":"https://doi.org/10.1017/jfm.2025.10544","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4391403931","name":"Short Sea Shipping in the Age of Sustainability, Autonomous Navigation and Digitalization","source":"openalex","abstract":"This paper presents the comprehensive state-of-the-art on the challenges that short sea shipping currently faces across the world. The concept and its relationship with coastal shipping are introduced, followed by a review of the EU policies for short sea shipping and its practical impacts in modal split. A survey of the literature on the strong and weak points of this form of transportation is carried out, aimed at explaining the difficulties in achieving relevant modal shifts from road to sea. The experience with short sea shipping across the world is described and discussed, providing a global perspective. The paper then discusses the main challenges and opportunities in this field, namely decarbonisation, autonomous navigation, and digitalization. Conclusions are drawn on the possible impact of these game changing developments in this segment of the shipping industry.","url":"https://doi.org/10.3390/jmse12020252","authors":["Paulo Vitor Silva Santos","Tiago A. Santos"],"tags":["Maritime industry","Sustainability","Perspective (graphical)","Modal","Sea state"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-31","doi":"https://doi.org/10.3390/jmse12020252","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4415208316","name":"Twined ensemble framework for network security: integrating Random Forest, AdaBoost, and Gradient Boosting for enhanced intrusion detection","source":"openalex","abstract":"An Intrusion Detection System (IDS) is crucial for safeguarding networks against cyber threats. This research presents a novel Twined Ensemble model, specifically designed to enhance intrusion detection performance using the NSL-KDD dataset. The proposed approach leverages a combination of two algorithms from AdaBoost, Gradient Boosting, or Random Forest for each attack category based on their individual performance. These selected classifiers are then combined using a Soft Voting Ensemble technique, which aggregates their probabilistic outputs to yield more accurate and robust predictions. To address the inherent class imbalance in the NSL-KDD dataset, particularly for underrepresented attacks like U2R and R2L, the Synthetic Minority Oversampling Technique (SMOTE) is employed to generate synthetic examples, thereby improving model generalization for rare classes. The Twined Ensemble model is evaluated using metrics such as Accuracy, Precision, Recall, F1-Score, and Cohen’s Kappa. The model achieves 99.68% accuracy for DoS, R2L, and Probe attacks, and 99.83% for U2R attacks, accompanied by a Cohen’s Kappa score of 1.0, indicating near-perfect classification. This architecture effectively integrates adaptive ensemble learning with class balancing strategies, offering a powerful and reliable solution for modern network intrusion detection. Beyond classification accuracy, this study also evaluates the computational performance of each classifier in terms of training time, prediction latency, and memory consumption. Gradient Boosting, while more accurate, exhibits higher training overhead (428.57 s), whereas AdaBoost and Random Forest maintain significantly faster training times (23.05 s and 24.93 s respectively) with minimal memory usage (< 0.04 MB). These findings demonstrate potential scope for the model’s feasibility for real-time IDS deployment in resource-constrained environments.","url":"https://doi.org/10.1007/s43926-025-00199-1","authors":["C. Kishor Kumar Reddy","Pulakurthi Anaghaa Reddy","Pulakurthi Satyanarayana Reddy","Mohammed Shuaib","Shadab Alam","Sadaf Ahmad","A. Rajaram"],"tags":["Computer science","Intrusion detection system","Ensemble learning","Random forest","Boosting (machine learning)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-15","doi":"https://doi.org/10.1007/s43926-025-00199-1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W7128439134","name":"From images to physics-based computational models to digital twins: a framework for personalized cancer therapies","source":"openalex","abstract":"In this work, we highlight recent advances in computational modeling that have significantly enhanced prospects of personalized cancer therapies by enabling insightful integration of patient-specific data, including medical images. Computational models, encompassing multi-physics and multi-scale approaches, can simulate drug transport and interactions within tissues and environments, including the tumor microenvironment, and facilitate the development of targeted diagnostic and therapeutic strategies. The incorporation of machine learning algorithms has further refined modeling, improving predictive accuracy and enabling real-time adaptive treatment planning. Although challenges remain in model validation and clinical translation, ongoing advancements are steadily bridging these gaps, bringing computational models and technologies closer to routine clinical application for the improvement of patient outcomes.","url":"https://doi.org/10.3389/fradi.2026.1737577","authors":["Farshad Moradi Kashkooli","Wenbo Zhan","Ajay Bhandari","Tahir Yusufaly","Michael C. Kolios","Arman Rahmim","M. Soltani"],"tags":["Computational model","Computer science","Bridging (networking)","Precision medicine","Cancer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.3389/fradi.2026.1737577","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.558Z"},{"id":"oa:W4403304547","name":"Digitally gamified co-creation: enhancing community engagement in urban design through a participant-centric framework","source":"openalex","abstract":"Abstract Urban co-creation is an approach to urban design that actively involves stakeholders and end-users in the design process. As designers increasingly use digital tools to manage design information, stakeholders and residents may find it difficult to participate, resulting in a lack of engagement. The emergence of metaverse technologies offers a crucial opportunity to employ user-friendly and collaborative tools, enabling more effective participation. In the study presented in this article, a custom-designed digital game with virtual reality environment was used to facilitate a series of co-creation workshops. The study focused on changes in participants’ experience by comparing baseline and endline survey results against the design outputs. It employed a holistic framework considering four dimensions: game design, participatory experience, learning outcomes and co-creation results. The findings indicate that the digitally gamified approach helped enhance participation and knowledge sharing, and even though game design ratings varied, the use of video games motivated engagement, particularly in an intergenerational context. The co-creation workshop design documented in this article offers new methods to enhance community engagement in urban design. Especially during digital transformation, it opens renewed discussions on balancing traditional output-driven approaches with more participant-centric methods and design objectives.","url":"https://doi.org/10.1017/dsj.2024.17","authors":["Provides Ng","Shutong Zhu","Yuechun Li","Jeroen van Ameijde"],"tags":["Co-creation","Community engagement","Participant observation","Human–computer interaction","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1017/dsj.2024.17","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7125680050","name":"TwinCity: An Urban Digital Twin Framework for Data-Scarce Environments—A Case Study of Benguerir, Morocco","source":"openalex","abstract":"Urban Digital Twins (UDTs) are emerging as a new paradigm in smart city strategies, enabling real-time interaction with urban environments and supporting data-driven decision-making. By expanding beyond traditional smart functions, UDTs facilitate the analysis and simulation of urban resilience and sustainability indicators within a virtual city ecosystem, addressing both immediate urban challenges and long-term planning goals. This paper introduces TwinCity, a city-scale Urban Digital Twin framework developed and validated through a case study of the Green City of Benguerir, Morocco. The framework incorporates a technical architecture based on semantic 3D city models, data integration, and simulation scenarios to analyse the solar energy potential of the rooftop, the energy consumption of the building and the morphological indicators. A user-friendly web interface was developed to visualise and interact with the UDT, ensuring its accessibility. By bridging the gap between technical challenges (such as data scarcity) and practical applications, this work offers a replicable model for cities in the Global South.","url":"https://doi.org/10.3390/smartcities9020023","authors":["Ouzougarh Badreddine","Hassan Radoine","Rafika Hajji"],"tags":["Smart city","Bridging (networking)","Sustainability","Urban planning","Architectural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.3390/smartcities9020023","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4409619690","name":"Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training","source":"openalex","abstract":"Predicting human gaze behavior is critical for advancing interactive systems and improving diagnostic accuracy in medical imaging. We present MedGaze, a novel system inspired by the \"Digital Gaze Twin\" concept, which models radiologists' cognitive processes and predicts scanpaths in chest X-ray (CXR) images. Using a two-stage training approach-Vision to Radiology Report Learning (VR2) and Vision-Language Cognition Learning (VLC)-MedGaze combines visual features with radiology reports, leveraging large datasets like MIMIC to replicate radiologists' visual search patterns. MedGaze outperformed state-of-the-art methods on the EGD-CXR and REFLACX datasets, achieving IoU scores of 0.41 [95% CI 0.40, 0.42] vs. 0.27 [95% CI 0.26, 0.28], Correlation Coefficient (CC) of 0.50 [95% CI 0.48, 0.51] vs. 0.37 [95% CI 0.36, 0.41], and Multimatch scores of 0.80 [95% CI 0.79, 0.81] vs. 0.71 [95% CI 0.70, 0.71], with similar improvements on REFLACX. It also demonstrated its ability to assess clinical workload through fixation duration, showing a significant Spearman rank correlation of 0.65 (p < 0.001) with true clinical workload ranks on EGD-CXR. The human evaluation revealed that 13 out of 20 predicted scanpaths closely resembled expert patterns, with 18 out of 20 covering 60-80% of key regions. MedGaze's ability to minimize redundancy and emulate expert gaze behavior enhances training and diagnostics, offering valuable insights into radiologist decision-making and improving clinical outcomes.","url":"https://doi.org/10.1038/s41598-025-97935-y","authors":["Akash Awasthi","Tuan A. Vu","Ngan Le","Zhigang Deng","Supratik Maulik","Rishi Agrawal","Carol C. Wu","Hien Van Nguyen"],"tags":["Workload","Gaze","Computer science","Artificial intelligence","Cognition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1038/s41598-025-97935-y","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4411190155","name":"Digital transformations of supply chain management via RFID technology: A systematic literature review","source":"openalex","abstract":"This paper conducts a systematic literature review of 109 peer-reviewed articles to examine the socio-technical factors shaping the implementation of Radio Frequency Identification (RFID) in supply chain management. Guided by socio-technical systems theory, the study categorizes the findings into social and technical subsystems and identifies seven key synergy mechanism factor that underpin successful deployment. The results show that challenges related to strategic decision-making, cultural adaptability, privacy, system integration, and cost-effectiveness plays a significant role in determining implementation outcomes. The study offers a novel socio-technical framework for understanding RFID adoption and contributes to theory by highlighting the interplay between human and technological dimensions. Practical implications are discussed for integrated system design and strategic planning, alongside research limitations and suggestions for future studies.","url":"https://doi.org/10.1016/j.jdec.2025.06.001","authors":["Yuxing Zhang","Yong Lin","Ali Esfahbodi"],"tags":["Supply chain management","Supply chain","Systematic review","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.jdec.2025.06.001","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4402459449","name":"Impacts of Digital Entrepreneurial Ecosystems on Sustainable Development: Insights from Latin America","source":"openalex","abstract":"Digital Entrepreneurial Ecosystems (DEEs) are transforming the economic landscape through their integration of digital technologies, offering new opportunities for innovation and growth. This study explores the impact of DEEs on sustainable development, focusing specifically on Latin America. As DEEs continue to evolve, understanding their influence on economic, environmental, and social sustainability becomes crucial, particularly in a region characterized by significant developmental challenges. Utilizing a data panel from two different periods of analysis, from 2013 to 2017 and from 2018 to 2022, within the adapted DEE framework provided by the Global Entrepreneurship Development Institute (GEDI), we employ Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), and fuzzy-set Qualitative Comparative Analysis (fsQCA 3.0) to analyze DEE components across 14 Latin American countries. These countries may not have the full spectrum of digital capabilities, yet they are still able to harness the digital elements they do possess effectively. This suggests that even partial digitalization, when strategically utilized, can lead to substantial gains in sustainable development. Additionally, Networking, Digital Protection, and Digital Tech Transfer are DEE components that present a higher magnitude in social, environmental, and economic development in Latin American countries. This study not only contributes to a deeper understanding of a DEE’s role in fostering sustainable development, but it also offers actionable insights for policymakers and entrepreneurs to leverage DEEs for broader societal benefits. The implications of the findings present perspectives under the existing literature, and the conclusion shows recommendations for future research and strategy development.","url":"https://doi.org/10.3390/su16187928","authors":["Angélica Pigola","Bruno Brandão Fischer","Gustavo Hermínio Salati Marcondes de Moraes"],"tags":["Latin Americans","Sustainable development","Ecosystem","Business","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-11","doi":"https://doi.org/10.3390/su16187928","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4403596733","name":"Efficient Rendering of Digital Twins Consisting of Both Static And Dynamic Data","source":"openalex","abstract":"Abstract. The high number of vertices and faces present in a digital twin of a large scene poses a challenge when executing large-scale simulations that require the data to be rendered multiple times with slight changes such as the light conditions in a day-night cycle during a long period of time (weeks and even months). Adding urban morphology such as tree planting introduces a new layer of complexity due to the requirement for evaluating different tree configurations and their effect on the local environment in the context of urban heat islands. Using advanced rendering techniques such as splitting a single buffer into sub-regions with inplace updates as well as buffer orphaning multiple methodologies are evaluated.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-27-2024","authors":["Aleksandar Atanasov","Benedikt Kottler","Dimitri Bulatov"],"tags":["Rendering (computer graphics)","Computer science","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-21","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-27-2024","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4400621697","name":"Exploring the nexus of digital transformation and sustainability in agribusiness: Advancing a research agenda","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.techfore.2024.123587","authors":["María Carmela Annosi","Francesco Paolo Appio","Esteban Brenes","Federica Brunetta"],"tags":["Agribusiness","Nexus (standard)","Sustainability","Transformation (genetics)","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-14","doi":"https://doi.org/10.1016/j.techfore.2024.123587","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4412649565","name":"Knowledge Graphs and Artificial Intelligence for the Implementation of Cognitive Heritage Digital Twins","source":"openalex","abstract":"This paper explores the integration of Artificial Intelligence and semantic technologies to support the creation of intelligent Heritage Digital Twins (HDT), digital constructs capable of representing, interpreting, and reasoning over cultural data. The study focuses on transforming the often fragmented and unstructured documentation produced in cultural heritage into coherent Knowledge Graphs aligned with the CIDOC CRM family of ontologies, particularly CRMhs and RHDTO. Two complementary AI-assisted workflows are proposed: one for extracting and formalising structured knowledge from heritage science reports, and another for enhancing AI models through the integration of curated ontological knowledge. The experiments demonstrate how this synergy facilitates both the retrieval and the reuse of complex information, while ensuring interpretability and semantic consistency. Beyond technical efficacy, the paper also addresses the ethical implications of AI use in cultural heritage, with particular attention to transparency, bias mitigation, and meaningful representation of diverse narratives. The results highlight the importance of a reflexive and ethically grounded deployment of AI, where knowledge extraction and machine learning are guided by structured ontologies and human oversight, to ensure conceptual rigour and respect for cultural complexity.","url":"https://doi.org/10.20944/preprints202507.1673.v1","authors":["Achille Felicetti","Aida Himmiche","Miriana Somenzi"],"tags":["Computer science","Cognition","Artificial intelligence","Cognitive science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-21","doi":"https://doi.org/10.20944/preprints202507.1673.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4399207319","name":"Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds","source":"openalex","abstract":"Abstract. The emergence of Digital Twins in city planning and management marks a contemporary trend, elevating the realm of 3D modeling and simulation for cities. In this context, the use of semantic point clouds to generate 3D city models for Digital Twins proves instrumental in addressing this evolving need. This article introduces a processing pipeline for the automatic modeling of buildings, roads, and vegetation based on the semantic segmentation results of 3D LiDAR point clouds. It employs a semantic segmentation approach that integrates multiple training datasets to achieve precise extraction of target objects. Open-source reconstruction tools have been adapted for building and road modeling, while a Python code was optimized for tree modeling, leveraging a foundational code. The case study was conducted in the city of Liège, Belgium. The obtained results were satisfactory, and the schemas and geometry of the developed models were validated. An evaluation of the adopted reconstruction methods was conducted, along with their comparison to other methods from the literature.","url":"https://doi.org/10.5194/isprs-annals-x-4-w4-2024-13-2024","authors":["Zouhair Ballouch","Imane Jeddoub","Rafika Hajji","Jean-Paul Kasprzyk","Roland Billen"],"tags":["Point cloud","Segmentation","Lidar","Computer science","Core (optical fiber)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-31","doi":"https://doi.org/10.5194/isprs-annals-x-4-w4-2024-13-2024","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7116835834","name":"Integrating Smart City Technologies and Urban Resilience: A Systematic Review and Research Agenda for Urban Planning and Design","source":"openalex","abstract":"Cities increasingly utilise digital technologies to tackle climate risks and urban shocks, yet their real impact on resilience remains uncertain. This paper systematically reviews 115 peer-reviewed studies (2012–2024) to explore how smart city technologies engage with planning instruments, governance arrangements, and social processes, following PRISMA 2020 and combining bibliometric co-occurrence mapping with a qualitative synthesis of full texts. Three themes organise the findings: (i) urban planning and design, (ii) smart technologies in resilience, and (iii) strategic planning and policy integration. Across these themes, Internet of Things (IoT) and geographic information system (GIS) applications have the strongest empirical support for enhancing absorptive and adaptive capacities through risk mapping, early warning systems, and infrastructure operations, while artificial intelligence, digital twins, and blockchain remain largely at pilot or conceptual stages. The review also highlights significant geographical and hazard biases: most cases come from high-income cities and concentrate on floods and earthquakes, while slow stresses (such as heat, housing insecurity, and inequality) and cities in the Global South are under-represented. Overall, the study promotes a “smart–resilience co-production” perspective, demonstrating that resilience improvements rely less on technology alone and more on how digital systems are integrated into governance and participatory practices.","url":"https://doi.org/10.3390/smartcities9010002","authors":["Shabnam Varzeshi","John Fien","Leila Irajifar"],"tags":["Smart city","Resilience (materials science)","Urban planning","Urban resilience","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-23","doi":"https://doi.org/10.3390/smartcities9010002","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4206186020","name":"FY 2022 - FY 2024 Medium-Term Budget","source":"openalex","abstract":"Amidst the unfolding COVID-19 crisis, the Fund faces twin challenges. Signs of early crisis recovery are uneven across countries, and many face daunting crisis legacies. At the same time, longer term challenges from climate change, digitalization and increasing divergence within and between countries demand stepped up effort by the Fund within its areas of expertise and in partnership with others. FY 22-24 budget framework. Considering these challenges and following a decade of flat real budgets, staff will propose a structural augmentation for consideration by fall 2021 to be implemented over two to three years beginning in FY 23. Recognizing the importance of ongoing fiscal prudence, the budget would remain stable thereafter on a real basis at a new, higher level. FY 22 administrative budget. The proposed FY 22 budget sustains crisis response and provides incremental resources for long-term priorities within the flat real budget envelope. The budget is built on extensive reprioritization; savings, including from modernization; and a proposed temporary increase in the carry forward ceiling to address crisis needs during the FY 22 to FY 24 period. Capital budget. Large-scale business modernization programs continue to be rolled out, strengthening the agility and efficiency of the Fund’s operations. In response to the shift towards cloud-based IT solutions, staff propose a change in the budgetary treatment of these expenses. Investment in facilities will focus on timely updates, repairs, and modernization, preparing for the post-crisis Fund where virtual engagement and a new hybrid office environment play a larger role. Budget sustainability. The FY 22–24 medium-term budget framework, including assumptions for a material augmentation, is consistent with a projected surplus in the Fund’s medium-term income position and with continued progress towards the precautionary balance target for coming years. Budget risks. In the midst of a global crisis, risks to the budget remain elevated and above risk acceptance levels, including from uncertainty around the level of demand for Fund programs and ensuing staffing needs, as well as future donor funding for CD. Enterprise risk management continues to be strengthened with this budget.","url":"https://doi.org/10.5089/9781513583327.007","authors":["International Monetary Fund. Office of Budget and Planning"],"tags":["Term (time)","Medium term","Environmental science","Physics","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-01","doi":"https://doi.org/10.5089/9781513583327.007","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4411471660","name":"Challenges in Developing Digital Twin Systems: Insights from a Case Study","source":"openalex","abstract":"The United States faces significant challenges with its aging infrastructure, which is both deteriorating and expensive to maintain and rehabilitate. Bridges, being core components of connecting communities and facilitating trade, receive considerable attention from the public and government agencies. However, the traditional ways of monitoring bridge health conditions, often reliant on visual inspections, are inadequate for ensuring their sustained performance. In recent years, the concept of digital twins offers innovative solutions that have the potential to transform the ways the industry can monitor the structural performance of bridges. This approach pairs physical assets with their digital counterparts, leveraging real-time data and simulations to improve the life cycle performance. For example, digital twin technology can enhance the management workflow of bridges and strengthen the decision-making process for replacing bridge components and addressing emergencies by providing real-time status and forecasting future performance. Previous reviews on digital twins in literature have predominantly concentrated on theoretical frameworks and potential industry applications. These studies have not yet engaged in the issues related to implementation and the insights gained from real-world case studies. This research provides insights gained through meetings with stakeholders, practitioners, and professionals involved in a DT proof of technology project. The findings from this research reveal several key design interfaces—both technical and organizational—that pose challenges to the successful implementation of DT systems. This paper aims to contribute to the existing body of knowledge by providing a detailed analysis that highlight the challenges of interoperability and interorganizational collaboration in the creation of system of systems level DTs.","url":"https://doi.org/10.7771/3067-4883.1822","authors":["Orgil Borjigin","Timothy Bernard","Carrie Sturts Dossick","Amos Darko","Bart Treece","Travis Thonstad","Michael Motley"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.1822","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4401622700","name":"A human-centric methodology for the co-evolution of operators’ skills, digital tools and user interfaces to support the Operator 4.0","source":"openalex","abstract":"The concept of Operator 4.0 has been recently defined to evolve the modern industrial scenarios by defining a knowledge sharing process from/to operators and industrial systems, creating personalized skills, and introducing digital tools towards socially sustainable factories. In this context, dynamic and adaptive user interfaces can make humans part of the intelligent factory system, supporting human work contextually and providing specific contents when needed, preserving the human wellbeing. This paper defines a human-centric methodology for the symbiotic co-evolution of operators’ skills, assistive digital tools and user interfaces, developed within the Horizon Europe project titled “DaCapo - Digital assets and tools for Circular value chains and manufacturing products”. The project focuses on defining a new set of human-centric digital tools and services for the manufacturing industry capable of boosting the application of circular economy (CE) throughout the manufacturing value chains. The proposed methodology can link the specific needs of an industrial case to the definition of the most proper assistive digital tools and functionalities to drive the design of adaptive, proactive user interfaces for the Operator 4.0. The method has been applied and validated on one of the project use cases, involving a manufacturing company operating in warehousing and logistics.","url":"https://doi.org/10.1016/j.rcim.2024.102854","authors":["Fabio Grandi","Contini Giuditta","Margherita Peruzzini","Roberto Raffaeli"],"tags":["Operator (biology)","Computer science","Human–computer interaction","Chemistry","Gene"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-15","doi":"https://doi.org/10.1016/j.rcim.2024.102854","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4414352939","name":"Can Urban Digital Twins Support the Realization of Sustainable Development Goal 11? Identifying Key Social and Technical Challenges","source":"openalex","abstract":"Abstract. The rapid urbanization of cities presents significant sustainability challenges, necessitating big data and digital tools as solutions for efficient resource management. A key advancement in this area is the Urban Digital Twin (UDT). UDTs aim to create dynamic virtual replicas of urban environments, enabling informed decision-making for city planners and policymakers. UDTs enable predictive modeling, resource optimization, and impact assessment of urban interventions. On the other hand, one of the globally accepted sustainable development goals (SDGs) to achieve by 2030 is SDG 11, which focuses specifically on “Sustainable Cities and Communities”. SDGs and SDG 11 consider the cities as a system that consists of the physical urban environment and social dynamics coming from governance, citizens and communities. However, current research on UDTs has primarily focused on technical aspects, leaving the potential of UDTs to support SDG 11 and its social dynamics underexplored. This study aims to understand whether UDTs can support the realization of SDG 11. Therefore, we explore how the capabilities of UDTs, such as monitoring, modelling and simulation, visualization, information provision and collection can support the SDG 11 principles of managing interconnected targets, inclusivity, multi-stakeholder collaboration, and monitoring of SDG 11 targets. We propose a socio-technical framework illustrating how UDTs can support SDG 11 and outline the key social and technical challenges to be addressed to fully realize UDTs’ potential. Finally, we discuss the conclusions and outlook for overcoming such challenges.","url":"https://doi.org/10.5194/isprs-annals-x-4-w7-2025-129-2025","authors":["Senqi Yang","Edgardo Macatulad","Filip Biljecki","Gamze Dane"],"tags":["Key (lock)","Sustainability","Sustainable development","Resource (disambiguation)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-19","doi":"https://doi.org/10.5194/isprs-annals-x-4-w7-2025-129-2025","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7127128233","name":"Digital Twin in Territorial Planning: Comparative Analysis for the Development of Adaptive Cities","source":"openalex","abstract":"Increasing urbanisation and the intensification of environmental and climate challenges require a review of governance models and tools supporting urban and territorial planning. The Twin Transition concept (green and digital) requires the integration of advanced monitoring and simulation systems. In this context, Digital Twins (DTs) have evolved from static virtual replicas to dynamic urban intelligence systems. Thanks to the integration of IoT sensors and artificial intelligence algorithms, DT enables the transition from a descriptive to a prescriptive approach, supporting climate uncertainty management and real-time territorial governance. The ability to integrate multi-source data and provide high-resolution site-specific representations makes these tools strategic for planning, resource management, and the assessment of urban and peri-urban resilience. The contribution comparatively analyses different digital twin frameworks, with particular attention to their applicability in highly complex environmental contexts, such as the city of Taranto. As a Site of National Interest, Taranto requires models capable of integrating industrial pollutant monitoring with urban regeneration and biodiversity protection strategies. The study assesses the potential of DT as predictive models to support governance for more sustainable, adaptive, and resilient cities.","url":"https://doi.org/10.3390/urbansci10020080","authors":["Valeria Mammone","Maria Silvia Binetti","Carmine Massarelli"],"tags":["Urbanization","Corporate governance","Environmental planning","Urban planning","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"https://doi.org/10.3390/urbansci10020080","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413977177","name":"Sensor-based slope stability prediction using a digital twin and AI-driven stability forecasting","source":"openalex","abstract":"Abstract. The need for better geological risk management techniques has increased due to the frequency and severity of natural disasters like floods and landslides, which are being caused by urbanization and climate change. Such management has always depended on limited simulations and static models derived from historical data. But more dynamic methods for modelling physical situations in real time and predicting future events are now available thanks to recent developments in digital technology, especially Digital Twins (DT). The use of DT in landslide prediction is examined in this work, with an emphasis on the use of inexpensive sensors in real-time monitoring of vital environmental factors such ground movement, pore water pressure, and volumetric water content. The research was conducted on a test site located on the Feo di Vito hill within the University of Reggio Calabria, a geologically vulnerable area. The proposed system integrates real-time environmental monitoring with advanced modeling and predictive techniques, ultimately supporting early risk detection and response. Results highlight the potential of this approach to enhance forecasting accuracy and responsiveness, offering an effective, scalable, and low-cost decision-support tool for mitigating landslide risk in vulnerable areas.","url":"https://doi.org/10.5194/isprs-archives-xlviii-2-w9-2025-183-2025","authors":["Cara Nichole Maesano","Emanuela Genovese","Sonia Calluso","Maurizio Pasquale Manti","Vincenzo Barrile"],"tags":["Stability (learning theory)","Computer science","Artificial intelligence","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-04","doi":"https://doi.org/10.5194/isprs-archives-xlviii-2-w9-2025-183-2025","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4400240320","name":"Pioneering the Future: Generative AI and Digital Twin Integration in 6G Networks","source":"openalex","abstract":"This paper explores the integrative application of generative artificial intelligence (AI) and digital twin technologies within the forthcoming framework of 6G networks. By outlining current technological advancements, potential applications, and their broad impacts on communication technologies, the article highlights how this integration could drive unprecedented efficiencies and innovations in network management, service delivery, and user experiences. Generative AI, known for its capability to generate and simulate complex data and scenarios, alongside digital twins that provide real-time simulation and analytics of both physical and virtual systems, are poised to support the future development of communications technology. In a 6G context, the combination of these technologies is expected to enhance network design, enable predictive maintenance, and foster personalized user experiences through ultra-high-speed, low-latency, and massive data handling capabilities.","url":"https://doi.org/10.36227/techrxiv.171992907.72903277/v1","authors":["Stephen Jimmy","Kalkidan Berhane"],"tags":["Generative grammar","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-02","doi":"https://doi.org/10.36227/techrxiv.171992907.72903277/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4405599075","name":"Insider Threat Detection Within Operational Technology Using Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-77411-9_3","authors":["Andrei Petrovski","Igor Kotenko","Murshedul Arifeen","Georgii Abramenko","Pavel Sobolev"],"tags":["Insider","Insider threat","Computer security","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-77411-9_3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4409619935","name":"3D Urban Digital Twinning on the Web with Low-Cost Technology: 3D Geospatial Data and IoT Integration for Wellness Monitoring","source":"openalex","abstract":"Recent advances in computer science and geomatics have enabled the digitalization of complex two-dimensional and three-dimensional spatial environments and the sharing of geospatial data on the web. Simultaneously, the widespread adoption of Internet of Things (IoT) technology has facilitated the rapid deployment of low-cost sensor networks in various scientific applications. The integration of real-time IoT data acquisition in 3D urban environments lays the foundation for the development of Urban Digital Twins. This work proposes a possible low-cost solution as a sample of a structure for 3D digital twinning on the web, presenting a case study related to weather monitoring analysis. Specifically, an indoor-outdoor environmental conditions monitoring system integrated with 3D geospatial data on a 3D WebGIS platform was developed. This solution can be considered as a first step for monitoring human and environmental wellness within a geospatial analysis system that integrates several open-source modules that provide different kinds of information (geospatial data, 3D models, and IoT acquisition). The structure of this system can be valuable for municipalities and private stakeholders seeking to conduct environmental geospatial analysis using cost-effective solutions.","url":"https://doi.org/10.3390/bdcc9040107","authors":["M. La Guardia"],"tags":["Geospatial analysis","Internet of Things","Computer science","Web application","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.3390/bdcc9040107","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7126199606","name":"A conceptual architecture for AI-assisted Digital Twins in natural resource management","source":"openalex","abstract":"The management of natural resources is increasingly critical and challenging due to complex interactions among environmental, industrial, and societal processes. Traditional approaches often fail to integrate heterogeneous data, limiting predictive and decision-support capabilities. This study presents a conceptual architecture for an Artificial Intelligence (AI)-assisted Digital Twin (DT) of the Centre-Val de Loire region, designed to unify time-dependent multi-source data. Based on the ENVRI Reference Model, it covers Science, Information, Computational, Engineering, and Technology layers, defining standardized data exchange, communication protocols, and prototype functionalities. A proof of concept FIWARE implementation supports ingestion, monitoring and analytical services for piezometric and meteorological data, exemplified through groundwater dynamics in the Beauce aquifer. It integrates daily observations from 53 piezometric stations over more than five years, managing approximately 2.8 million records in a containerized environment. Results show that the proposed DT architecture can enhance sustainability-oriented decision making, integrating heterogeneous data and predictive analyses while enabling collaboration across scientific and technical domains. Its modular design offers a replicable template for future AI-assisted environmental DTs, scalable to larger regions. Hence, this work illustrates how DTs can improve environmental monitoring and understanding, providing a pathway toward resilient, data-driven management of natural resources. • AI-assisted Digital Twin for natural resource management. • Data architecture design based on the ENVRI Reference Model. • Integration of heterogeneous, temporally correlated environmental data. • Use cases, functions, data exchange and communication protocols. • Viewpoints UML-modeling and complete operative PoC.","url":"https://doi.org/10.1016/j.ecoinf.2026.103635","authors":["Félix Iglesias","Frédéric Ros","Lynh Hoang Vy Thuy","Laurence Gourcy","Jean-Sébastien Moquet","Véronique Daële","Sébastien Dupraz"],"tags":["Computer science","Scalability","Architecture","Data science","Modular design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-30","doi":"https://doi.org/10.1016/j.ecoinf.2026.103635","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4408219818","name":"Revolutionizing Construction Safety: Unveiling the Digital Potential of Building Information Modeling (BIM)","source":"openalex","abstract":"The construction industry is facing issues worldwide, particularly worker fatalities and injury rates. Construction safety requires careful attention and preparation across the project’s entire lifecycle, from design to demolition activities. In the digital era, Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering new opportunities to enhance safety standards and reduce accidents. This study examines the influence of BIM on construction safety, particularly its capacity to transform safety protocols, enhance danger identification, and minimize accidents during the construction project’s duration. The review approach used is based on PRISMA. Scopus and Web of Science were the databases used to search for qualifying publications. From an initial cohort of 502 papers, 125 were chosen as relevant to the scope of this research. A thorough analysis of the existing literature was conducted to examine the processes by which BIM helps to improve safety, such as early hazards identification, conflict detection, virtual safety simulations, and improved communication and collaboration among project stakeholders. This study examined the following knowledge gaps: integration with safety regulations and standards, a comprehensive safety dimension in BIM, BIM for real-time safety monitoring, and a BIM-driven safety culture. The following potential future research directions were highlighted: enhanced BIM applications for safety, longitudinal studies on BIM and safety outcomes, BIM for post-construction safety and maintenance, and BIM for safety training and simulation. In conclusion, the integration of BIM into construction safety protocols presents significant potential for mitigating risks and improving safety management over the asset lifecycle. As the industry increasingly adopts digital technology, BIM will be crucial in establishing safer and more efficient construction environments.","url":"https://doi.org/10.3390/buildings15050828","authors":["Bilal Manzoor","Rabia Charef","Maxwell Fordjour Antwi‐Afari","Khalid Saqer Alotaibi","Ehsan Harirchian"],"tags":["Building information modeling","Construction engineering","Information model","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-05","doi":"https://doi.org/10.3390/buildings15050828","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4392656056","name":"A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics With Metabolism, Signaling Networks and Biomechanics As Plug-In Component Models of a Cancer Digital Twin","source":"preprints","abstract":"The massive amount of human biological, imaging and clinical data produced by multiple and diverse sources, necessitates integrative modeling approaches able to summarize all this information into answers to specific clinical questions. In this paper, we present a hypermodeling scheme able to combine models of diverse cancer aspects regardless of their underlying method or scale. Describing tissue-scale cancer cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant cancer cell metabolism, and cell signaling pathways that regulate the cellular response to therapy, the hypermodel integrates mutation, miRNA expression, imaging, and clinical data. The constituting hypomodels as well as their orchestration and links are described. Two specific cancer types, Wilms tumor (nephroblastoma) and non-small cell lung cancer, are addressed as proof of concept study cases. Personalized simulations over the actual anatomy of a patient have been carried out. The hypermodel has also applied to predict tumor control after radiotherapy and the relationship between tumor proliferative activity and response to neoadjuvant chemotherapy. Our innovative hypermodel holds promise as a digital twin based clinical decision support system and the core of future in silico trial platforms, although additional retrospective adaptation and validation is necessary.","url":"https://doi.org/10.20944/preprints202403.0490.v1","authors":["Eleni Kolokotroni","Daniel Abler","Alokendra Ghosh","Eleftheria Tzamali","James A. Grogan","Eleni Georgiadi","Philippe Büchler","Ravi Radhakrishnan","Helen M. Byrne","Vangelis Sakkalis","Katerina Nikiforaki","Ioannis Karatzanis"],"tags":["In silico","Cancer","Computational biology","Bioinformatics","Computer science"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202403.0490.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4381435445","name":"PROBLEMS OF THE LEGAL NATURE OF DIGITAL TWINS","source":"openalex","abstract":"The article discusses various approaches to the definition of the concept of digital twins in the context of the development of the digital economy, the author's definition of the concept of digital twins is proposed, their essence, content and regulation are established. The direction of the legislative process aimed at the development of digital twins is shown, the problems of legal support of digital twins are analyzed, including in the field of aviation, astronautics, medicine, healthcare and architecture. The study used formal-logical methods, analysis and synthesis, as well as a technical-legal method. Attention is drawn to the need for legal regulation of this activity. It is concluded that a digital twin is a virtual copy of any material (and sometimes nonmaterial) object, process or phenomenon. The main goal of digital twins is the range of tasks to be solved, one of which is optimization. The use of digital twins, like many other information technologies associated with the use of the Internet, is necessarily associated with the risk of violating human and civil rights and their legitimate interests. However, many industries are finding innovative ways to create and use digital twins. It is fixed that the concept of \"digital twin\" can be considered as a general concept for a digital character and a digital profile. The article also reflects the need to revise approaches to state regulation of relations on the use of digital twins and develop common principles harmonized with other states, for example, such legislative norms that, on the one hand, do not interfere with the development of relevant technologies and services, and, on the other hand, protect human rights and legitimate interests.","url":"https://doi.org/10.14529/law230209","authors":["Sergey Bogun","Healthcare\"","of the Federal State Budgetary Institution \""],"tags":["Legislature","Process (computing)","Computer science","Context (archaeology)","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.14529/law230209","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4414359726","name":"CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins","source":"openalex","abstract":"Current Digital Twin (DT) technology lacks the cognitive capabilities needed for true autonomy and intelligent adaptation. This paper introduces CogTwin, a hybrid cognitive architecture framework for developing Cognitive Digital Twins (CDTs). CogTwin integrates a 50ms cognitive cycle inspired by human cognition, dual knowledge graphs (static Domain Knowledge Repository (DKR) and dynamic Internal Knowledge Graph (DIKG)), a hybrid attention mechanism, and self-healing capabilities. Combining symbolic, sub-symbolic, and neuro-symbolic AI, CogTwin enables real-time learning and decision-making. Simulated smart city scenarios, including traffic incident management and power outage response, demonstrate CogTwin’s potential. Preliminary performance evaluations of the pseudocode suggest feasibility of the target 50ms cycle. The architecture also incorporates explainable AI (XAI) for transparency and human-CogTwin collaboration. CogTwin contributes towards a unified theory of cognition for DTs, laying the groundwork for more sophisticated and autonomous CDTs.","url":"https://doi.org/10.24963/ijcai.2025/1032","authors":["Sukanya Mandal","Noel E. O’Connor"],"tags":["Cognitive architecture","Cognition","Computer science","Architecture","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-01","doi":"https://doi.org/10.24963/ijcai.2025/1032","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413788828","name":"Threat Modeling and Attacks on Digital Twins of Vehicles: A Systematic Literature Review","source":"openalex","abstract":"This systematic literature review pioneers the synthesis of cybersecurity challenges for automotive digital twins (DTs), a critical yet underexplored frontier in connected vehicle security. The notion of digital twins, which act as simulated counterparts to real-world systems, is revolutionizing secure system design within the automotive sector. As contemporary vehicles become more dependent on interconnected electronic systems, the likelihood of cyber threats is escalating. This comprehensive literature review seeks to analyze existing research on threat modeling and security testing in automotive digital twins, aiming to pinpoint emerging patterns, evaluate current approaches, and identify future research avenues. Guided by the PRISMA framework, we rigorously analyze 23 studies from 882 publications to address three research questions: (1) How are threats to automotive DTs identified and assessed? (2) What methodologies drive threat modeling? Lastly, (3) what techniques validate threat models and simulate attacks? The novelty of this study lies in its structured classification of digital twin types (physics based, data driven, hybrid), its inclusion of a groundbreaking threat taxonomy across architectural layers (e.g., ECU tampering, CAN-Bus spoofing), the integration of the 5C taxonomy with layered architectures for DT security testing, and its analysis of domain-specific tools such as VehicleLang and embedded intrusion detection systems. The findings expose significant deficiencies in the strength and validation of threat models, highlighting the necessity for more adaptable and comprehensive testing methods. By exposing gaps in scalability, trust, and safety, and proposing actionable solutions aligned with UNECE R155, this SLR delivers a robust framework to advance secure DT development, empowering researchers and industry to fortify vehicle resilience against evolving cyber threats.","url":"https://doi.org/10.3390/smartcities8050142","authors":["Uzair Muzamil Shah","Daud Mustafa Minhas","Kashif Kifayat","Khizar Ali Shah","Georg Frey"],"tags":["Automotive industry","Computer security","Computer science","Threat model","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-28","doi":"https://doi.org/10.3390/smartcities8050142","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4406878638","name":"The Digital REadiness Assessment MaturitY (DREAMY) framework to guide manufacturing companies towards a digitalisation roadmap","source":"openalex","abstract":"Digital technologies are considered the main drivers for the transformation of the manufacturing industry. To effectively navigate this wave of transformation, companies need to understand their current maturity state regarding implemented technologies and organisational processes across various functions. However, many organisations struggle to assess their digital status quo. Addressing this gap, this paper proposes a framework to help manufacturing companies become aware of their digital maturity level and guide them toward a digitalisation roadmap. The framework consists of a maturity model, the Digital Readiness Assessment MaturitY (DREAMY), inspired by the Capability Maturity Model Integration (CMMI), and a digitalisation roadmap tool. The research follows the design research methodology, combining a literature review, expert consultations, and validation through multiple industrial cases to develop, test, and refine the framework. The proposed framework enables companies to assess their current digital maturity, identify strengths and weaknesses, and discover opportunities for improvement, supporting a conscious transition toward Industry 4.0 and the forthcoming Industry 5.0 paradigm.","url":"https://doi.org/10.1080/00207543.2025.2455476","authors":["Anna De Carolis","Claudio Sassanelli","Federica Acerbi","Marco Macchi","Sergio Terzi","Marco Taisch"],"tags":["Maturity (psychological)","Capability Maturity Model","Process management","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-27","doi":"https://doi.org/10.1080/00207543.2025.2455476","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4417198669","name":"Effects of UAV-Based Image Collection Methodologies on the Quality of Reality Capture and Digital Twins of Bridges","source":"openalex","abstract":"Unmanned Aerial Vehicle (UAV)-based photogrammetric reconstruction is a key step in geometric digital twinning of bridges, but ensuring the quality of the reconstruction data through the planning of measurement configurations is not straightforward. This research investigates an approach for quantitatively evaluating the impact of different methodologies and configurations of UAV-based image collection on the quality of the collected images and 3D reconstruction data in the bridge inspection context. For an industry-grade UAV and a consumer-grade UAV, paths for image collection from different Ground Sampling Distance (GSD) and image overlap ratios are considered, followed by the 3D reconstruction with different algorithm configurations. Then, an approach for evaluating these data collection methodologies and configurations is discussed, focusing on trajectory accuracy, point-cloud reconstruction quality, and accuracy of geometric measurements relevant to inspection tasks. Through a case study on short-span road bridges, errors in different steps of the photogrammetric 3D reconstruction workflow are characterized. The results indicate that, for the global dimensional measurements, the consumer-grade UAV works comparably to the industry-grade UAV with different GSDs. In contrast, the local measurement accuracy changes significantly depending on the selected hardware and path-planning parameters. This research provides practical insights into controlling 3D reconstruction data quality in the context of bridge inspection and geometric digital twinning.","url":"https://doi.org/10.3390/infrastructures10120341","authors":["Rongxin Zhao","Huayong Wu","Feng Wang","Haisong Xu","Shuo Wang","Yuxuan Li","Tianyi Xu","Mingyu Shi","Yasutaka Narazaki"],"tags":["Photogrammetry","Computer vision","Workflow","3D reconstruction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-10","doi":"https://doi.org/10.3390/infrastructures10120341","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4405004219","name":"Analyzing the challenges and opportunities in developing a sustainable digital economy","source":"openalex","abstract":"This research is designed to understand the concept of digital economy and its sustainability. These facts and concepts have gained popularity as a result of the growing concern about climate change and the advancement and acceptance of technologies. Scholars, corporate executives, and policymakers are investigating the various ways in which digital innovations may be utilized to tackle sustainability challenges. Through a rigorous literature review and bibliometric assessment, we examined a subset of 116 works cataloged in SCOPUS to assess the research on this subject from 2000 to November 2023. Our study revealed that the year 2022 featured the highest number of peer-reviewed publications, with a total of 31 publications. During our study, we have identified many potential avenues for this interconnection, such as the progress of energy sources that are renewable and sustainable technological advances, the development of technologically advanced cities and environmentally-friendly growing urbanization, and the encouragement of sustainable consumer behavior. Digital technology provides firms with chances to implement sustainable business approaches and create sustainable goods. Although the digital economy offers several benefits, it also poses some obstacles that might impede progress toward sustainability objectives. These challenges include the escalation of electronic waste, excessive energy usage and the subsequent increase in greenhouse gas emissions, technological division, employment instability, the growth of monopolies, and concerns over data privacy. In order to fully capitalize on the potential offered by the electronic economy to advance sustainability, it is imperative to tackle these challenges.","url":"https://doi.org/10.1007/s42452-024-06298-y","authors":["Md. Abdus Shabur"],"tags":["Digital economy","Business","Computer science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-04","doi":"https://doi.org/10.1007/s42452-024-06298-y","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4409676198","name":"Opportunities and challenges of digital twin applications in the Middle East construction industry","source":"openalex","abstract":"Purpose Over the years, the Middle East (ME) has experienced significant advancements in technology, particularly in the digital realm, initiated by Dubai’s 2013 Building Information Modeling (BIM) mandate. However, there are ongoing questions regarding how digital twins (DTs) have been adopted and awareness within the region’s construction industry. This paper aims to explore the current state of DT technology within the construction industry in the ME. It seeks to understand the trends, benefits and challenges associated with the adoption of DTs, as well as the level of awareness among industry professionals regarding this innovative technology. Design/methodology/approach Conducting a comprehensive literature review and semi-structured interviews with 10 construction professionals from various firms in the ME, each possessing significant experience (ranging from 7 to 26 years) in digital construction. The interviews were designed to gather in-depth insights into the advantages, challenges and awareness of DTs in the region. The data collected from these interviews were transcribed and analyzed using thematic analysis facilitated by NVivo 14 software, allowing the identification of key themes and patterns related to the implementation of digital twin technology in the region. Findings There is a growth in Middle Eastern digital twin trends, with developers exploring efficient implementation. Despite theoretical advancements, practical implementation lags. Identified benefits include sustainability enhancement, roles in risk assessment, predictive maintenance, documentation, stakeholder communication, customer satisfaction, safety, production increase, efficiency and real-time monitoring. Challenges involve 26 obstacles categorized into six groups, notably a lack of awareness and understanding of digital twin technology and concerns about data uncertainties. Research limitations/implications The research focused only on the applications of DT within the ME region. Practical implications This paper underscores the importance of standardized policy frameworks for DT adoption in the ME construction industry. Standardization enhances project execution, regulatory compliance and innovation while fostering collaboration among stakeholders. Awareness and education programs are crucial for understanding DT benefits, promoting sustainability and improving operational efficiency, offering a clear roadmap for the effective integration of DT solutions. Originality/value The value of this research lies in its in-depth examination of DT technology’s definition, components, benefits and challenges within the Middle Eastern construction industry. It sheds light on the early stages of DT adoption, emphasizing the need for infrastructure, skilled management and standardization to optimize its integration. The study bridges theoretical knowledge with practical insights, addressing barriers like cultural change, data uncertainties and regulatory gaps while highlighting lessons from related technologies like BIM.","url":"https://doi.org/10.1108/uss-07-2024-0041","authors":["Diala Barham","Sandra Matarneh","Algan Tezel","Saed Hasan","Wajdi Mereb"],"tags":["Middle East","Business","Computer science","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-22","doi":"https://doi.org/10.1108/uss-07-2024-0041","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4393357728","name":"Physical Modeling of a Water Hydraulic Proportional Cartridge Valve for a Digital Twin in a Hydraulic Press Machine","source":"openalex","abstract":"Digital twins are an emerging technology that can be harnessed for the digitalization of the industry. Steel industry systems contain a large number of electro-hydraulic components as proportional valves. An input–output model for a water proportional cartridge valve was derived from physical modeling based on fluid mechanics, dynamics, and electrical principles. The valve is a two-stage valve with two two/two-way water proportional valves as the pilot stage and a marginally stable poppet-type cartridge valve as the main valve. To our knowledge, this is the first time that an input–output model was derived for a two-stage proportional cartridge valve with a marginally stable main valve. The orifice equation, which is based on Bernoulli principles, was approximated by a polynomial, which made the parameter estimation easier and modeling possible without measuring the pressure of the varying control volume, in contrast with previous studies of similar types of valves situated in the pilot stage part of the valve. This work complements previous studies of similar types of valves in two ways: (1) data were collected when the valve was operating in a closed loop and (2) data were collected when the valve was part of a press mill machine in a steel manufacturing plant. Model parameters were identified from data from these operating conditions. The parameters of the input–output model were estimated by convex optimization with physical constraints to overcome the problems caused by poor system excitation. For comparison, a simple linear model was derived and the least squares method was used for the parameter estimation. A thorough estimation of the parameters’ relative errors is presented. The model contains five parameters related to the design parameters of the valve. The modeled position output was in good agreement with experimental data for the training and test data. The model can be used for the real-time monitoring of the valve’s status by the model parameters. One of the model parameters varied linearly with the production cycles. Thus, the aging of the valve can be monitored.","url":"https://doi.org/10.3390/pr12040693","authors":["Oscar Bautista Gonzalez","Daniel Rönnow"],"tags":["Cartridge","Bernoulli's principle","Control theory (sociology)","Control valves","Valve actuator"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-29","doi":"https://doi.org/10.3390/pr12040693","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4392709668","name":"Digital twin modeling and intelligent optimization for rail operation safety assessment","source":"openalex","abstract":"Currently, the use of fixed empirical parameters combined with traditional algorithms to construct train parameter prediction models for estimating train energy consumption is often used. However, due to changes in train related parameters, there is a significant error between the estimated results of this method and the actual values, which cannot reflect the true state of train operation. It affects the subsequent maintenance and repair of trains, thereby affecting the safety of the entire subway operation system. To address the above issues, a train traction power flow model based on digital twin technology is proposed. The swarm intelligence optimization algorithm is not used to correct model parameters. By correcting the deviation of train passenger load, accurate prediction of train energy consumption can be achieved. The experimental results show that the power flow model constructed by the research institute can reduce the power error of single interval trains by over 11.91%. The average DC voltage error of the train power flow model after parameter correction is 0.19%. The average DC current error is 12.07%. The root mean square error range of passenger capacity for similar day neural network models is [0.0521,0.0811]. The experimental results indicate that the model constructed by the research institute can accurately predict train energy consumption and ensure the safety of the subway operation system.","url":"https://doi.org/10.1051/smdo/2024002","authors":["Ling Wang","Xiang Chen","Ding Feng"],"tags":["Engineering","Computer science","Transport engineering","Reliability engineering","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1051/smdo/2024002","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4391751283","name":"Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects","source":"openalex","abstract":"Abstract Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process‐based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process‐based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.","url":"https://doi.org/10.1029/2023rg000816","authors":["Sebastiano Piccolroaz","Senlin Zhu","Robert Ladwig","Laura Carrea","Samantha K. Oliver","A. Piotrowski","Mariusz Ptak","Ryuichiro Shinohara","Mariusz Sojka","R. Iestyn Woolway","David Z. Zhu"],"tags":["Climate change","Environmental science","Limnology","Climate model","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-11","doi":"https://doi.org/10.1029/2023rg000816","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4410502737","name":"Competitiveness in the Era of Circular Economy and Digital Innovations: An Integrative Literature Review","source":"openalex","abstract":"This study explores the intersection of competitiveness in a circular economy and the role of digital innovations through an integrative literature review. Synthesizing quantitative and qualitative research identifies gaps and offers insights on how these trends shape competitive strategies. The review emphasizes three main areas: technological enablers, operational challenges, and the role of policy and collaboration. It highlights the interrelationship among the circular economy, digital innovations, and competitiveness in promoting sustainable practices. The research suggests that policymakers should support small- and medium-sized enterprises (SMEs) with financial assistance for digital tool adoption and establish regional digital innovation hubs for technology access and training. Standardized data-sharing protocols are crucial for effective circular economy practices and cybersecurity. Ultimately, the review identifies key research opportunities at the nexus of digital innovations and the circular economy, aiming to enhance theoretical knowledge and inform sustainable business model development.","url":"https://doi.org/10.3390/su17104599","authors":["Ibrahim M. A. Awad","Hasan Nuseibeh","Alaa A. Amro"],"tags":["Circular economy","Digital economy","Economic system","Economics","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.3390/su17104599","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7118558524","name":"A Framework for a Digital Twin of Inspection Robots","source":"openalex","abstract":"The study addresses the design and implementation of a modular, scalable platform for specialized inspection tasks, highlighting its suitability for future research activities. The work presents a fully validated methodology that encompasses both the physical robot and its digital twin. Specifically, the objective of this work is to design and develop a sensor-equipped mobile robot designed for inspection and surveillance tasks. The study places particular emphasis on the robot’s actuation system, the design and implementation of its control architecture, and the creation of a PC-based control interface. Additionally, suitable sensors can be integrated to enable future capabilities in automatic obstacle detection and autonomous navigation. The paper presents a digital shadow/DT-enabling framework to support inspection and surveillance operations, grounded in the digital representation of the robot.","url":"https://doi.org/10.3390/app16020650","authors":["Cristian Pelagalli","Pierluigi Rea","Roberto Di Bona","Erika Ottaviano","Marek Kciuk","Zygmunt Kowalik","Joanna Bijak"],"tags":["Obstacle","Computer science","Robot","Mobile robot","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.3390/app16020650","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4404301029","name":"The Metaverse Review: Exploring the Boundless Ream of Digital Reality","source":"openalex","abstract":"The metaverse has emerged as a prominent topic with growing interest fueled by advancements in Web 3.0, blockchain, and immersive technologies. This paper presents a thorough analysis of the metaverse, showcasing its evolutio... | Find, read and cite all the research you need on Tech Science Press","url":"https://doi.org/10.32604/cmc.2024.055575","authors":["Shi Dong","Mengke Liu","Khushnood Abbas"],"tags":["Metaverse","Virtual reality","Sociology","Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.32604/cmc.2024.055575","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7117162778","name":"Digital Twin and Integrated Sensing and Communication Applications in Internet of Things: Enabling Communication Technologies, Taxonomy, Implications, and Open Issues","source":"openalex","abstract":"Future internet of things (IoT) services necessitate the integration of sensing and communication functions within the same system, utilizing digital twin (DT) technology. Integrated sensing and communication (ISAC) can address the need for widespread communication and high-precision sensing by leveraging the benefits of spectrum and hardware resource sharing. The DT represents a promising technology for achieving low latency and high energy efficiency, leveraging real-time monitoring, optimization, and predictive maintenance capabilities. Recent advancements in DT and ISAC for IoT systems research necessitate the establishment of effective communication technology methods between the physical entity and its digital representation. Most prior research reviews have not sufficiently explored the critical enabling technologies for DT and ISAC applications in IoT systems that facilitate communication between a physical entity and its digital counterparts. Previous research has primarily focused on the application of DT technology in IoT systems; however, little emphasis has been placed on the integration of ISAC technology with DT in IoT systems, as well as the important integrated sensing and communication technologies between physical entities and their digital counterparts. This paper presents a systematic literature review that focuses on the analysis of key communication technologies that facilitate connections in DT and ISAC for IoT systems. The implications of communication methods derived from the study are presented, focusing on technologies such as unmanned aerial vehicles (UAVs), reconfigurable intelligent surfaces (RISs), millimeter wave (mmWave), and massive MIMO (mMIMO) technologies. The emphasis on these technologies is due to their significance as essential enablers of integrated sensing and communication between physical entities and their digital counterparts. Furthermore, these technologies are critical for integrating DT and ISAC into the IoT systems to efficiently meet the needs of IoT services. Future discussions are finally addressing open research and the challenges that demand attention.","url":"https://doi.org/10.3390/app16010073","authors":["Abdel Nasser Soumana Hamadou","Shengzhi Du","Thomas O. Olwal","Barend Jacobus van Wyk"],"tags":["Computer science","Key (lock)","Internet of Things","Resource (disambiguation)","Communications system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-21","doi":"https://doi.org/10.3390/app16010073","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4396976447","name":"Developing a virtual reality and AI-based framework for advanced digital manufacturing and nearshoring opportunities in Mexico","source":"openalex","abstract":"The growing expansion of the manufacturing sector, particularly in Mexico, has revealed a spectrum of nearshoring opportunities yet is paralleled by a discernible void in educational tools for various stakeholders, such as engineers, students, and decision-makers. This paper introduces a state-of-the-art framework, incorporating virtual reality (VR) and artificial intelligence (AI) to metamorphose the pedagogy of advanced manufacturing systems. Through a case study focused on the design, production, and evaluation of a robotic platform, the framework endeavors to offer an exhaustive educational experience via an interactive VR environment, encapsulating (1) Robotic platform system design and modeling, enabling users to immerse themselves in the design and simulation of robotic platforms under varied conditions; (2) Virtual manufacturing company, presenting a detailed virtual manufacturing setup to enhance users' comprehension of manufacturing processes and systems, and problem-solving in realistic settings; and (3) Product evaluation, wherein users employ VR to meticulously assess the robotic platform, ensuring optimal functionality and customer satisfaction. This innovative framework melds theoretical acumen with practical application in advanced manufacturing, preparing entities to navigate Mexico's manufacturing sector's vibrant and competitive nearshoring landscape. It creates an immersive environment for understanding modern manufacturing challenges, fostering Mexico's manufacturing sector growth, and maximizing nearshoring opportunities for stakeholders.","url":"https://doi.org/10.1038/s41598-024-61514-4","authors":["Pedro Ponce","Brian Anthony","Russel Bradley","Javier Maldonado-Romo","Juana Isabel Méndez","Luis Montesinos","Arturo Molina"],"tags":["Virtual reality","Computer science","Manufacturing engineering","Knowledge management","Advanced manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-16","doi":"https://doi.org/10.1038/s41598-024-61514-4","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4403276210","name":"Connection-Aware Digital Twin for Mobile Adhoc Networks in the 5G Era","source":"preprints","abstract":"5G Mobile Adhoc Networks (5G-MANETs) are a popular and agile solution for data transmission in local contexts, while maintaining communication with remote entities via 5G. These characteristics have established 5G-MANETs as versatile communication infrastructures for deploying contextual applications, leveraging physical proximity while exploiting the possibilities of the Internet. As a result, there is growing interest in exploring the potential of these networks and their performance in real-world scenarios. However, the management and monitoring of 5G-MANETs is challenging due to their inherent characteristics, such as highly variable topology, unstable connections, energy consumption of individual devices, message routing, and occasional inability to connect to 5G. Considering these challenges, the proposed work aims to address real-time monitoring of 5G-MANETs using a connection-aware Digital Twin (DT). The approach provides two main functions: offering a live virtual representation of the network, even in scenarios where multiple nodes lack 5G connectivity, and estimating the performance of the infrastructure, enabling the specification of customized conditions. To achieve this, a communication architecture is proposed, analyzing its components and defining the involved processes. The DT is implemented and evaluated in a laboratory setting, assessing its accuracy in representing the physical network under varying conditions of topology and Internet availability. The results show 100% accuracy for the DT in fully connected topologies, with ultra-low latency averaging under 80 ms, and suitable performance in partially connected contexts, with latency averages below 3000 ms.","url":"https://doi.org/10.20944/preprints202410.0367.v1","authors":["Manuel Jesús-Azabal","Zhang Zheng","Gao Bingxia","Yang Jing","Vasco N. G. J. Soares","Vasco N.G.J. Soares"],"tags":["Connection (principal bundle)","Computer science","Computer network","Engineering","Structural engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.20944/preprints202410.0367.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413429058","name":"A Review of 3D Shape Descriptors for Evaluating Fidelity Metrics in Digital Twin","source":"openalex","abstract":"Digital Twin (DTw) technology is a cornerstone of Industry 4.0, enabling real-time monitoring, predictive maintenance, and performance optimization across diverse industries. A key requirement for effective DTw implementation is high geometric fidelity—ensuring the digital model accurately represents the physical counterpart. Fidelity metrics provide a quantitative means to assess this alignment in terms of geometry, behavior, and performance. Among these, 3D shape descriptors play a central role in evaluating geometric fidelity, offering computational tools to measure shape similarity between physical and digital entities. This paper presents a comprehensive review of 3D shape descriptor methods and their applicability to geometric fidelity assessment in DTw systems. We introduce a structured taxonomy encompassing classical, structural, texture-based, and deep learning-based descriptors, and evaluate each in terms of transformation invariance, robustness to noise, computational efficiency, and suitability for various DTw applications. Building upon this analysis, we propose a conceptual fidelity metric that maps descriptor properties to the specific fidelity requirements of different application domains. This metric serves as a foundational framework for shape-based fidelity evaluation and supports the selection of appropriate descriptors based on system needs. Importantly, this work aligns with and contributes to the emerging ISO 30138 standardization initiative by offering a descriptor-driven approach to fidelity assessment. Through this integration of taxonomy, metric design, and standardization insight, this paper provides a roadmap for more consistent, scalable, and interoperable fidelity measurement in digital twin environments—particularly those demanding high precision and reliability.","url":"https://doi.org/10.3390/machines13090750","authors":["Md Tarique Hasan Khan","Soonhung Han","Tahir Jauhar","Chiho Noh"],"tags":["Fidelity","Computer science","Artificial intelligence","Pattern recognition (psychology)","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.3390/machines13090750","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4407365302","name":"A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media","source":"openalex","abstract":"In this article, a novel methodology for characterizing and creating a digital twin of turbid media with intensity measurements only is presented, employing a unique physics‐informed neural network approach. Unlike previous approaches utilizing various deep neural network architectures that often function as black boxes, the method prioritizes interpretability, offering a clearer understanding of the underlying processes of light propagation through turbid media and estimating the transmission matrix. The possibility and use case of gradient calculation through this presented digital twin are showcased by solving the problem to retrieve the initial wavefront shape of the light that passed through the medium (e.g., the image transmission problem). The results surpassed the accuracy of models directly optimized for this task, underscoring the precision of the proposed digital twin. This capability represents a pivotal advancement for future developments in neuromorphic and deep learning computation and training using such a photonic and optical systems.","url":"https://doi.org/10.1002/aisy.202400574","authors":["Mohammadrahim Kazemzadeh","Liam Collard","Linda Piscopo","Massimo De Vittorio","Ferruccio Pisanello"],"tags":["Artificial neural network","Physics","Computer science","Medical physics","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-11","doi":"https://doi.org/10.1002/aisy.202400574","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4416204946","name":"Innovative approaches to traffic management based on digital twins of road networks","source":"openalex","abstract":"Introduction. The article considers the development of the theoretical model for the implementation of digital twins of highways and assesses their effectiveness within the traffic management system, adapting their construction principles to the specifics of Russia’s transport infrastructure. Materials and Methods. The integration of digital twins into traffic management demonstrates its effectiveness through a close relationship with intelligent transport systems. The research is based on modern method and system analysis to the creation and application of digital twins. The authors propose a mathematical model for formalizing and evaluating the effectiveness, which integrates key factors such as: road maintenance costs, reduction of vehicle idle time, fuel savings, and improved safety. Digital twins generate economic benefits through more accurate forecasting of repair and preventive maintenance work, diminishing operational expenses, and decreased need for constant personnel presence at sites. Furthermore, they also serve as a key tool for long-term planning, providing the capability to model future scenarios for the development of the transport network with minimal financial investment. Results. The study encompassed methods of predictive analytics, data from pilot projects, and approaches to creating digital twins that utilize data collected by sensor networks, video cameras, and drones. Processing and integrating this information into the unified digital platform enables real-time monitoring of changes on the roads, forecasting situation development, and making informed management decisions using tools of predictive analytics. A theoretical and economic model has been developed and formalized to assess the effectiveness of digital twins, providing quantitative justification for investment decisions. Several specific problems related to scaling these technologies in the Russian Federation were identified, including an insufficient regulatory framework, the need to develop unified data standards, and a shortage of skilled personnel. A structured table outlining the development of digital twins and their key directions is presented. Discussion and Conclusion. The research has showed that combining digital twins with intelligent transport systems opens sufficient opportunities for optimizing traffic flow management, improving road safety, and increasing transport capacity. Comprehensive traffic optimization is impossible without demonstrating the practical significance of digital twins. The proposed model can serve as a basis for planning and justifying investments in the digitalization of transport infrastructure at various state and municipal levels. However, successful implementation depends on many factors and requires a complex approach, including serious personnel training at all levels, development of the regulatory framework, and creation of the unified digital ecosystem.","url":"https://doi.org/10.26518/2071-7296-2025-22-5-772-785","authors":["D. S. Kurbatov","A. V. Starostenko"],"tags":["Key (lock)","Computer science","Fleet management","Relation (database)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-11","doi":"https://doi.org/10.26518/2071-7296-2025-22-5-772-785","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4408363754","name":"Public Development: Towards Open Standards and Components for Local Digital Twins","source":"openalex","abstract":"Abstract An Open Local Digital Twin (LDT) relies on standards-based interfaces and components to ensure replicability, reuse, and future maintainability. This chapter provides an overview of relevant LDT standards in different Pivotal Points of Interoperability (PPI), in the LDT core components and the data, modelling, and visualisation domains. The chapter aims to provide a neutral overview of useful standards and components at different levels of standardisation, such as encoding standards, syntax and semantic-related standards, and, if available, standards about business interactions. Based on the LDT architecture building blocks (BB), the current maturity level and relation with the Minimal Interoperability Mechanisms (MIMs) concept is scrutinised. This analysis shows a variety of maturity and existing standardisation gaps, mainly related to the interactivity of LDT services and the cooperation between domain-specific simulation models. However, the LDT can benefit from existing standards in the data and visualisation domains, as well as the further development of common ontologies for domain-overarching service customisation support. Cross-domain digital twin cases and scenarios will contribute to more cost-efficient construction of policy-supporting, predictive LDTs.","url":"https://doi.org/10.1007/978-3-031-81451-8_6","authors":["Lieven Raes","Bart De Lathouwer","Gert Hilgers","Stefan Lefever"],"tags":["Development (topology)","Computer science","Mathematics","Mathematical analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-81451-8_6","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4402238097","name":"Inaugural editorial‐Digital Twins and Applications","source":"openalex","abstract":"Abstract Academician of the CAE member Youxian Sun from Zhejiang University initiated Digital Twins and Applications (ISSN 2995‐2182). It is published by Zhejiang University Press and the Institution of Engineering and Technology and sponsored by Zhejiang University. Digital Twins and Applications aim to provide a specialised platform for researchers, practitioners, and industry experts to publish high‐quality, state‐of‐the‐art research on digital twin technologies and their applications.","url":"https://doi.org/10.1049/dgt2.12015","authors":["Youxian Sun","Wenhai Wang","Q.Y. Yang","Y. Z. Zhang"],"tags":["Publication","Institution","Library science","State (computer science)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-01","doi":"https://doi.org/10.1049/dgt2.12015","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413159447","name":"Towards Digital Twin of Vehicle Tyre: Theoretical Framework for a Multibody Model","source":"openalex","abstract":"The rapid advancement in the automotive industry necessitates the creation of digital twins (DTs), fundamentally transforming design and testing processes. Among the various components, vehicle tyres present significant challenges for accurate modelling. This paper reviews current tyre modelling techniques, exploring their applications, associated challenges, and possibilities. An advanced tyre model (TM) is introduced that emphasises interactions between the tyre and rim, as well as between the three-dimensional tyre and road, while accounting for dynamic variations in gas pressure and thermodynamic factors. The modelling approach involves developing nine nodal discrete elements of varying thickness, with each element comprising twelve rheological components designed to function under tension and compression, alongside four additional rheological elements to evaluate the bending stiffness of each discrete element. During the validation procedure, an RMSE of 0.00892 was achieved by comparing the developed TM to the experimentally validated MF SWIFT model; however, the TM presents much more information regarding tyre parameters, which can be used for vehicle dynamics investigations. Future steps for model improvement are presented.","url":"https://doi.org/10.3390/app15168933","authors":["Marijonas Bogdevičius","Paulius Kojis","Viktor Skrickij"],"tags":["Computer science","Multibody system","Physics","Classical mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-13","doi":"https://doi.org/10.3390/app15168933","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4404189951","name":"Digital transformation: The geopolitical-organizational nexus","source":"openalex","abstract":"This special issue aimed to attract articles situating digital transformation in the geopolitical-organizational nexus. Unlike innovation and change panaceas (or fads) like business process reengineering (BPR) which became popular in the 1990s, digital transformation is a multi-level concept. Extending beyond the redesign of organizational and business processes, the analytical boundaries of digital transformation include ecosystems, organizational networks, business and operational processes, organizational identities, governance structures, and quality/cost dynamics. However, the extant literature on digital transformation continues to use the organization as the primary unit of analysis. Definitions of digital transformation vary widely, with some not dissimilar to the BPR era. The papers included in this special issue provide analytical and empirical examples on the pervasive effects from contemporary digital technology for society, organizations, and citizens. Future work which isolates the digital technology artefact would benefit from further refinement of the digital transformation concept. A starting point is to revisit the digital technology evolution over past decades which reveal the inflection points of technological change, specifically for mainframes, PCs, and the Internet. Such analysis will increase our understanding and contextualization of past panaceas like BPR for generating new insights on how digital technologies are front and center in debates on digital transformation.","url":"https://doi.org/10.1177/02683962241299822","authors":["Wendy L. Currie","Vishanth Weerakkody","Ben Van Vliet"],"tags":["Strategic information system","Geopolitics","Nexus (standard)","Digital transformation","Soft systems methodology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-08","doi":"https://doi.org/10.1177/02683962241299822","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4411689201","name":"Leveraging Digital Logistics Twins to Harness Sustainability and Resilience in Manufacturing Networks","source":"openalex","abstract":"Abstract The current global business environment poses significant challenges for companies to maintain efficient and sustainable operations. This study focuses on the role of self-imposed restrictions in enhancing the sustainability and resilience of logistics networks. Using the automotive industry as an example, this research analyzes the impact of such restrictions on the overall sustainability and resilience of international logistics networks. Building on a case study research approach, qualitative and quantitative analyses are performed to present a comprehensive understanding of the current situation while developing practical solutions. By examining the threshold between different categories of restrictions, the study provides actionable recommendations for companies to enhance their process planning capabilities and leverage Digital Logistics Twins as a supportive environment. Specifically, by shifting the focus towards more proactive management of self-imposed restrictions, companies can improve their efficiency and sustainability. Furthermore, the insights gained from this study provide a valuable framework for organizations seeking to optimize their operations, leverage the potential of DLT, and contribute to the research on supply chain resilience and the role of digital technologies.","url":"https://doi.org/10.1007/978-3-031-93891-7_81","authors":["Frank Straube","Benjamin Gorgas","Angelica Coll"],"tags":["Resilience (materials science)","Sustainability","Business","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-93891-7_81","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4391254021","name":"Enabling Circular Economy through Integrated Digital Twins: A Framework for AI-Driven Business Transformation","source":"openalex","abstract":"Abstract—Enabling Circular Economy through Integrated Digital Twins (CAT-I): This study aims to solve this problem through the innovative framework of Circular-AI Twin Integration (CAT-I). This research’s problem emerges from addressing the inefficiencies of linear economic models and is a very complex solution incorporating Digital Twins integration with AI to control material flows. The goal is to operationalize, develop, and validate the CAT-I frameworks by offering a structured pathway for organizations moving along with circular business approaches. The approach utilizes a design science research methodology that includes literature reviews, expert consultations, and iterative prototyping. The following results indicate the effectiveness of CAT-I to promote resource efficiency, reduce waste, and encourage sustainable practices. Advantages can include the possibility that firms could adopt the principles of the circular economy, providing benefits to sustainability and the economy. A transformational solution such as the CAT-I framework leads businesses to a sustainable and circular future. Keywords— Circular Economy, Digital Twin Technology, Artificial Intelligence, Sustainability, Resource Efficiency","url":"https://doi.org/10.55041/ijsrem28351","authors":["Gladrin Gideon Aroul"],"tags":["Circular economy","Operationalization","Sustainability","Resource efficiency","Digital economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-25","doi":"https://doi.org/10.55041/ijsrem28351","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4404346980","name":"Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins","source":"openalex","abstract":"The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data. However, the effective construction of HDTs faces significant challenges due to the heterogeneity of data collection devices, the high energy demands associated with processing intricate data, and concerns over the privacy of sensitive information. This work introduces a novel biologically-inspired (bio-inspired) HDT framework that leverages Brain-Computer Interface (BCI) sensor technology to capture brain signals as the data source for constructing HDT. By collecting and analyzing these signals, the framework not only minimizes device heterogeneity and enhances data collection efficiency, but also provides richer and more nuanced physiological and psychological data for constructing personalized HDTs. To this end, we further propose a bio-inspired neuromorphic computing learning model based on the Spiking Neural Network (SNN). This model utilizes discrete neural spikes to emulate the way of human brain processes information, thereby enhancing the system's ability to process data effectively while reducing energy consumption. Additionally, we integrate a Federated Learning (FL) strategy within the model to strengthen data privacy. We then conduct a case study to demonstrate the performance of our proposed twofold bio-inspired scheme. Finally, we present several challenges and promising directions for future research of HDTs driven by bio-inspired technologies.","url":"https://doi.org/10.1109/mcom.001.2500100","authors":["Chen Shang","Jiadong Yu","Dinh Thai Hoang"],"tags":["Neuromorphic engineering","Brain–computer interface","Interface (matter)","Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-14","doi":"https://doi.org/10.1109/mcom.001.2500100","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413997402","name":"Development of a digital twin for system failure prediction using Bayesian methods","source":"openalex","abstract":"This study aims to develop a digital twin model based on Bayesian methods for accurate and adaptive failure prediction in complex engineering systems operating under uncertainty. To achieve this, the research employs Bayesian networks that model probabilistic relationships among sensor data such as temperature, pressure, vibration, and humidity enabling real-time updates and robust predictions. The methodology involves training and testing the model on real-world industrial datasets, where it demonstrated superior performance. Experimental results revealed that the proposed model achieved an accuracy of 91%, which is 16% higher than traditional approaches, and also outperformed others in terms of F1-score and ROC-AUC. These findings highlight the strength of Bayesian inference in handling incomplete or noisy data and maintaining high interpretability. The study concludes that integrating Bayesian models into digital twins enhances their adaptability and reliability for critical systems. In practical terms, the developed approach can significantly improve predictive maintenance, reduce operational risks, and support real-time decision-making in industrial environments. Furthermore, the integration of this solution with Internet of Things (IoT) and Industrial IoT (IIoT) technologies is identified as a promising direction for future research, aimed at creating intelligent, self-updating monitoring systems.","url":"https://doi.org/10.53894/ijirss.v8i6.9560","authors":["Assem Shayakhmetova","Nurbolat Tasbolatuly","Ardak Akhmetova","Marat Shurenov","Aziza Nagibayeva"],"tags":["Bayesian probability","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.53894/ijirss.v8i6.9560","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4393978957","name":"Digital Marketing in the Survival and Growth Strategies of Small and Medium-Sized Businesses During the War in Ukraine","source":"openalex","abstract":"This article shows the impact of the war on small and medium-sized businesses in Ukraine during the full-scale invasion of the Russian Federation, which started on February 24, 2022, and ended in September 2023. The object of the study is small and medium-sized enterprises that carry out business activities in Ukraine during a full-scale invasion. The research objective is to determine the business strategies and Internet marketing strategies used by small and medium-sized enterprises after full-scale invasion. The purpose of this study is to identify the most effective Internet marketing strategies and Internet marketing tools that helped small and medium-sized businesses survive the full-scale invasion of Ukraine by the Russian Federation and continue to grow. The study was conducted through in-depth interviews with representatives of small and medium-sized businesses from different regions of Ukraine and from different fields of activity. Based on the categorical analysis of the responses, three periods of enterprise survival were summarized according to the chronology of military and political events in the country. The relevant Internet marketing strategies of small and medium-sized enterprises are identified. Business strategies and Internet marketing strategies that helped small and medium-sized enterprises increase their pre-war economic performance are also highlighted. Certain reasons for the deep crisis of small and medium-sized enterprises are outlined. The intensity and effectiveness of the use of Internet marketing tools by small and medium-sized businesses after a full-scale invasion are determined. The peculiarity of the results is the study of Internet marketing strategies and successful business strategies of small and medium-sized enterprises during the war. The scientific novelty of thisstudy is that it classifies the periods of survival and growth of small and medium-sized enterprises and identifies the most effective Internet marketing strategies for these periods. The efficiency and intensity of using Internet marketing tools were also systematized. The results obtained in the study will help small and medium-sized enterprises overcome crisis conditions and identify areas for the effective use of digital marketing. The findings are of practical value for small and medium-sized enterprises in other countries where there is a possibility of armed conflict.","url":"https://doi.org/10.21272/mmi.2024.1-02","authors":["Мykhailo Oklander","Oksana Yashkina","Iryna Zlatova","Ilke Cicekli","Nataliia Letunovska"],"tags":["Business","Marketing","Commerce"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.21272/mmi.2024.1-02","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7128806573","name":"Research on Remaining Useful Life Prediction of Equipment Based on Digital Twins","source":"openalex","abstract":"Remaining Useful Life (RUL) prediction is a key factor in fault diagnosis, prediction, and health management (PHM) during equipment operation and service. Its purpose is to predict the time interval from the current moment to the complete failure of the equipment, serving as the basis for condition-based maintenance strategies. Effective RUL prediction enables the scheduling of maintenance plans in advance, thereby reducing equipment downtime and safety incidents. The RUL prediction of equipment and its critical components is an important means of fault diagnosis and prediction. Real-time and accurate RUL prediction results are prerequisites for implementing preventive maintenance, condition-based maintenance, and failure-based maintenance strategies, allowing the identification of optimal maintenance timing. This constitutes a crucial aspect of precise equipment support. The real-time, high-efficiency communication of digital twin technology can support real-time online RUL prediction for equipment. This paper introduces digital twin technology and constructs a digital twin-based RUL prediction model for equipment. The study proposes an integrated learning-based RUL prediction method for equipment, validated through experiments to demonstrate its accuracy and robustness. Finally, this paper presents an engineering implementation plan for online RUL prediction of equipment based on digital twins.","url":"https://doi.org/10.3390/s26041240","authors":["Jiaju Wu","Yuanlin Zhou","Xiaodong Wang","Chuan Chen","Yongqi Ma","Chunrui Zhang"],"tags":["Downtime","Reliability engineering","Predictive maintenance","Engineering","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.3390/s26041240","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4409118270","name":"Lifecycle Management of Bridge and Tunnel Infrastructure Using Digital Twin Technology","source":"openalex","abstract":"Digital twins are helping control infrastructure assets, from bridges to tunnels, with live, data-driven digital clones that replicate and adapt to their originals. In this paper, we describe the role of digital twins in bridge and tunnel lifecycle management, monitoring, predictive maintenance and productivity. The solution leverages IoT sensors, cloud computing, and machine learning algorithms to provide real-time monitoring, dynamic analysis and predictive insight. This allows for proactive decision making to allow for structural problems and risk mitigation in advance. Major problems such as the high initial costs, unstandardizedness, and interoperability are discussed alongside new solutions like improvements in sensors and cooperative frameworks. Specifically, future research fields such as AI, edge computing, and blockchain are also discussed. Case studies and analysis highlight how digital twins can help to refocus resources, extend the lifecycle of infrastructure, and achieve sustainability objectives, making them a valuable asset for today’s infrastructure management.","url":"https://doi.org/10.54254/2755-2721/2025.21784","authors":["Kuan Wang"],"tags":["Bridge (graph theory)","Engineering","Construction engineering","Environmental resource management","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-03","doi":"https://doi.org/10.54254/2755-2721/2025.21784","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4402145193","name":"The LOTUS International Multifunctional Digital Twin","source":"openalex","abstract":"The LOTUS project was concerned with the development of low-cost innovative technology for water quality and resource management in urban and rural water systems in India. This paper is concerned with the development of a digital twin for the public water distribution network of Guwahati that will enable researchers from the Guwahati Institute of Technology to develop and test leak detection algorithms.","url":"https://doi.org/10.3390/engproc2024069026","authors":["Gareth Lewis","Lydia Vamvakeridou-Lyroudia","Albert Chen","Slobodan Djordjević","Dragan Savić"],"tags":["Lotus","Computer science","Biology","Botany"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-02","doi":"https://doi.org/10.3390/engproc2024069026","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4416088705","name":"The Google self as digital human twin: implications for agency, memory, and identity","source":"openalex","abstract":"Abstract This article explores the emergence of the \"Google Self\" as a platformized digital human twin constituted through data traces and algorithmic mediation within Google's ecosystem of personalized services. Using netnographic analysis of 525 user reviews collected from technology blogs and forums (2016–2020), this study employs actor-network theory to examine how users experience and negotiate their relationship with their algorithmically constructed digital twin. The findings reveal that the Google Self transcends conventional notions of digital representation, functioning as an active mediator that reconfigures fundamental aspects of human experience through three primary mechanisms. First, algorithmic mediation of agency manifests through the delegation of cognitive processes to Google's services, creating hybrid forms of intentionality that emerge through human–algorithm interaction. Second, the externalization of memory to Google's infrastructure initiates a shift from individual to connective memory processes, wherein algorithms increasingly organize personal narratives through computational rather than experiential logic. Third, algorithmic mediation of identity formation through processes of algorithmic emplotment, monolithic identity consolidation, and distributed narrative agency. Additionally, analysis of disconnection narratives, where users lose access to their Google accounts, reveals the infrastructural nature of these digital twins and their deep integration into cognitive and social processes. These findings call for reconceptualizing human-centered AI frameworks to engage more deeply with the constitutive role of algorithms in contemporary self-formation. This study contributes to the understanding of digital human twins as active participants in human individuation processes, with significant implications for privacy, autonomy, and ethical AI development in the platform age.","url":"https://doi.org/10.1007/s00146-025-02692-1","authors":["Oshri Bar-Gil"],"tags":["Mediation","Narrative","Identity (music)","Experiential learning","Avatar"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-10","doi":"https://doi.org/10.1007/s00146-025-02692-1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4414167540","name":"Digital Workflows in Prosthodontics","source":"openalex","abstract":"The rapid advancement of scanning technologies, design software, and manufacturing techniques has led to the maturation of digital workflows in prosthodontics over the past few decades. Initially perceived as alternatives to analogue workflows, digital workflows now offer significant advantages in diagnosis, treatment planning, communication, and prosthesis design and fabrication. The growing demand for efficient, predictable, aesthetic, and outcome-driven prosthodontic treatments has led to increasing adoption of digital workflows. This integration has transformed each step of prosthodontic treatment, resulting in three digital workflows: laboratory, clinical, and combined clinical-laboratory workflows. Although most prosthodontic treatments can now be executed digitally, a universally applicable digital workflow is yet to be established. Contrary to analogue workflows, digital workflows continue to evolve rapidly, with significant improvements anticipated in the near future that may establish them as the mainstream approach in prosthodontics. This review article aims to: (1) illustrate the importance of digital workflows in modern prosthodontics, (2) discuss available digital workflows in relation to different areas of prosthodontics, and (3) explore how recent advancements in digital dentistry are likely to shape the future of prosthodontics.","url":"https://doi.org/10.1111/adj.70005","authors":["Jaafar Abduo","Vanya Rasaie"],"tags":["Workflow","Prosthodontics","Mainstream","Computer science","Relation (database)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-15","doi":"https://doi.org/10.1111/adj.70005","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4408832574","name":"Formalizing-modelling-utilizing ontology: A semantic framework for adaptive stakeholder-specific urban digital twins in urban planning processes","source":"openalex","abstract":"Urban Digital Twins (UDTs) have emerged as integrated collections of urban data and urban models aspiring to enhance urban planning and decision-making processes. However, current UDTs often fail to connect siloed disciplines, represent diverse stakeholder views, or adapt to the dynamic nature of planning processes. Realizing UDTs potentials is hindered by these socio-technical challenges, we developed and validated FMU Ontology to address them. FMU Ontology provides a set of semantic representations that (1) promote interoperability and integration across disciplinary data and models, (2) enable developing and using a network of stakeholder-specific UDTs that facilitate engagement and consensus-building, and (3) embed these within planning processes to allow UDTs to adapt as stakeholders’ questions and priorities evolve. Furthermore, we validate the efficacy of FMU Ontology through consistency and competency tests. Lastly, in a case study on strategic urban densification in Eindhoven, the Netherlands, we demonstrate how FMU Ontology enables the adaptive and collaborative use of UDTs, addressing key challenges in urban planning and decision-making.","url":"https://doi.org/10.1177/23998083251329398","authors":["Shervin Azadi","Dena Kasraian","Pirouz Nourian","Pieter van Wesemael"],"tags":["Ontology","Computer science","Stakeholder","Urban planning","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-25","doi":"https://doi.org/10.1177/23998083251329398","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4393273105","name":"A probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis","source":"openalex","abstract":"The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in data-driven architectures and optimization techniques for fast surrogate modeling provide an exciting opportunity to overcome these limitations, enabling the use of such technology for time-critical decisions. We discuss an application to the repair of multiple stenosis in peripheral pulmonary artery disease through either transcatheter pulmonary artery rehabilitation or surgery, where it is of interest to achieve desired pressures and flows at specific locations in the pulmonary artery tree, while minimizing the risk for the patient. Since different degrees of success can be achieved in practice during treatment, we formulate the problem in probability, and solve it through a sample-based approach. We propose a new offline-online pipeline for probabilistic real-time treatment planning which combines offline assimilation of boundary conditions, model reduction, and training dataset generation with online estimation of marginal probabilities, possibly conditioned on the degree of augmentation observed in already repaired lesions. Moreover, we propose a new approach for the parametrization of arbitrarily shaped vascular repairs through iterative corrections of a zero-dimensional approximant. We demonstrate this pipeline for a diseased model of the pulmonary artery tree available through the Vascular Model Repository.","url":"https://doi.org/10.1002/cnm.3820","authors":["John D. Lee","Jakob Richter","Martin R. Pfaller","Jason M. Szafron","Karthik Menon","Andrea Zanoni","Michael Ma","Jeffrey A. Feinstein","Jacqueline Kreutzer","Alison L. Marsden","Daniele E. Schiavazzi"],"tags":["Peripheral","Stenosis","Cardiology","Pulmonary artery","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-27","doi":"https://doi.org/10.1002/cnm.3820","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4310511197","name":"Simulation and assimilation of the digital human brain","source":"openalex","abstract":"Here, we present the Digital Brain (DB), a platform for simulating spiking neuronal networks at the large neuron scale of the human brain based on personalized magnetic-resonance-imaging data and biological constraints. The DB aims to reproduce both the resting state and certain aspects of the action of the human brain. An architecture with up to 86 billion neurons and 14,012 GPUs, including a two-level routing scheme between GPUs to accelerate spike transmission up to 47.8 trillion neuronal synapses, was implemented as part of the simulations. We show that the DB can reproduce blood-oxygen-level-dependent signals of the resting-state of the human brain with a high correlation coefficient, as well as interact with its perceptual input, as demonstrated in a visual task. These results indicate the feasibility of implementing a digital representation of the human brain, which can open the door to a broad range of potential applications.","url":"https://doi.org/10.48550/arxiv.2211.15963","authors":["Wenlian Lu","Du, Xin","Wang, Jiexiang","Zeng, Longbin","Ye, Leijun","Xiang, Shitong","Zheng, Qibao","Zhang, Jie","Xu, Ningsheng","Feng, Jianfeng"],"tags":["Resting state fMRI","Computer science","Testbed","Human brain","Neuroscience"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-29","doi":"https://doi.org/10.48550/arxiv.2211.15963","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4403086305","name":"Deciphering the evolution of metaverse - A techno-functional perspective in digital marketing","source":"openalex","abstract":"• The metaverse has disrupted the traditional marketing practices and it has potential to transform entire world of marketing activities with thrilling immersive experiences. • This study provides an analysis of evolving field of metaverse marketing and information systems (IS) using systematic literature review (SLR). • The clusters of the research illustrate that metaverse marketing encompassing consumer behaviour, consumer engagement, brand experience and virtual product design. • This study also reveals the emerging trends and gaps in literature that pave the ways for future research expansion in the metaverse marketing. • The results of this research provide valuable insights for the academicians and marketers by uncovering the existing research structures and future research prospects of metaverse marketing. The metaverse has disrupted the traditional marketing practices and it has potential to transform entire world of marketing activities with thrilling immersive experiences. This study provides an analysis of evolving field of metaverse marketing in the context of information systems using state of the art bibliometric and scientometric tools coupled with machine learning algorithms. Utilizing 257 documents from Scopus database that published between 1996 and 2024, this research maps and unveils the development of metaverse marketing from its inception and the role of information systems in its evolution. The analysis of literature resulted in five main emerging themes of the role of information systems in metaverse marketing research as User Experience, Customer engagement, Convergence of metaverse Technology, Design of virtual goods & experience and Global Social Interaction. The major sub-themes of the study are User Behaviors and Preferences, Branding on virtual environment, Virtual reality, Virtual wearables and Virtual Socialization. This study also reveals the emerging trends and gaps in literature that pave the ways for future research expansion in the information systems and metaverse marketing. Few of the important future research areas identified are understanding user experience, design of immersive customer engagement strategies, customer virtual presence and Security & privacy concerns of the users on metaverse platform.","url":"https://doi.org/10.1016/j.jjimei.2024.100296","authors":["Mohammad Wasiq","Abu Bashar","Brighton Nyagadza","Amar Johri"],"tags":["Perspective (graphical)","Metaverse","Digital marketing","Marketing","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-03","doi":"https://doi.org/10.1016/j.jjimei.2024.100296","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4399365560","name":"Construction and Application of Energy Footprint Model for Digital Twin Workshop Oriented to Low-Carbon Operation","source":"openalex","abstract":"To address the difficulty of accurately characterizing the fluctuations in equipment energy consumption and the dynamic evolution of whole energy consumption in low-carbon workshops, a low-carbon-operation-oriented construction method of the energy footprint model (EFM) for a digital twin workshop (DTW) is proposed. With a focus on considering the fluctuations in equipment energy consumption and the correlation between multiple pieces of equipment at the workshop production process level (CBMEatWPPL), the EFM of a DTW is obtained to characterize the dynamic evolution of whole energy consumption in the workshop. Taking a production unit as a case, on the one hand, an EFM of the production unit is constructed, which achieved the characterization and visualization of the fluctuations in equipment energy consumption and the dynamic evolution of whole energy consumption in the production unit; on the other hand, based on the EFM, an objective function of workshop energy consumption is established, which is combined with the tool life, robot motion stability, and production time to formulate a multi-objective optimization function. The bee colony algorithm is adopted to solve the multi-objective optimization function, achieving collaborative optimization of cross-equipment process parameters and effectively reducing energy consumption in the production unit. The effectiveness of the proposed method and constructed EFM is demonstrated from the above two aspects.","url":"https://doi.org/10.3390/s24113670","authors":["Lei Zhang","Cunbo Zhuang","Ying Tian","Mengqi Yao"],"tags":["Energy consumption","Carbon footprint","Production (economics)","Computer science","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-05","doi":"https://doi.org/10.3390/s24113670","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W3137151116","name":"Industrial Technologies in the Context of Digital Transformation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-69415-9_114","authors":["M. Yu. Uchirova","Светлана Баурина","Sergey Khudyakov"],"tags":["Industry 4.0","SCADA","Automation","Manufacturing engineering","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-3-030-69415-9_114","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4391947109","name":"El Gemelo Digital y su aplicación en la Automática","source":"openalex","abstract":"Una de las tecnologías mas atractivas y actualmente en auge que se esta desarrollando rápidamente es el Gemelo Digital (Digital Twin en inglés, DT). Es bien conocido como un habilitador para la Industria 4.0. Tanto en la comunidad científica como industrial, el concepto, la tecnología y las aplicaciones asociadas al mismo, van generando controversia. Sigue habiendo una gran variedad de definiciones del mismo concepto. Aparentemente no parece haber una comprensión común de este término en la literatura. Se utiliza de forma diferente en diferentes disciplinas. La simulación basada en modelos ha sido, desde hace mucho tiempo, una herramienta común para el diseño en una fase inicial de planificación, pero no durante el tiempo de trabajo del sistema ya diseñado. En este trabajo se pretende abarcar una revisión histórica de este concepto. Mientras que muchas revisiones bibliográficas existentes se centran principalmente en la industria de manufactura, este artículo hará un enfoque en aplicaciones de los gemelos digitales en el campo de la Automática.","url":"https://doi.org/10.4995/riai.2024.20175","authors":["William D. Chicaiza","Javier Gómez","Adolfo J. Sánchez","Juan Manuel Escaño"],"tags":["Computer science","Humanities","Philosophy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.4995/riai.2024.20175","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4402734223","name":"Neil Armstrong’s digital twin: An integrative approach for movement analysis in simulated space missions","source":"openalex","abstract":"Introduction and Purpose Space exploration is transitioning to a new era. NASA’s Artemis program is spearheading crewed missions to the Moon in the next decade, paving the way for eventual human exploration of Mars (Smith et al., 2020). However, space missions further afar from Earth require a shift in operational concepts towards an increasingly autonomous mission architecture due to communication delay (Belobrajdic et al., 2021). Analog space missions, such as AMADEE24, address these methodological challenges in a terrestrial simulation scenario (Preston & Dartnell, 2014). In order to imitate the biomechanical and perceptual constraints of suited operations in an analog mission, the astronauts wear space-suit simulators during extravehicular activities (EVA; Groemer et al., 2012). As EVAs account for the most physically-demanding and risky operations during space missions, the relevance for human movement science in space research is increasing. We propose an approach to integrate already available data sources to conduct comprehensive human movement analysis in planetary exploration scenarios. As a proof of concept, we aimed to identify sensitive kinematic and physiological markers for muscular fatigue in astronauts’ gait during the AMADEE24 mission conducted by the Austrian Space Forum. Methods The AMADEE24 Mars simulation took place from March 5th until April 5th 2024 in the Ararat province in Armenia, which was selected as simulation site for its geological similarities to areas on Mars. Six analog astronauts (two female, four male) lived isolated in a habitat for 21 days, conducting robotic, psychological and geoscientific experiments pertinent to future surface activities on Mars. Extensive high-resolution drone imaging of the analog region before the mission was conducted to compile a digital elevation model used for EVAs. Experiments in the field were conducted by two analog astronauts wearing the AOUDA space-suit simulator with two astronauts supporting them from the habitat using radio communication (Groemer et al., 2012). The recorded telemetry data of the suit included GPS location, heart rate, CO2- and O2-concentrations in the helmet as well as temperature and humidity measurements in the suit and primarily serves for medical monitoring of the astronauts during the EVA. Beneath the suit, the astronauts wore the inertial whole-body motion capture system XsensTM Awinda (Xsens Technologies B.V., Enschede, Netherlands) with 17 IMU-sensors and an 8-channel electromyography (EMG) system (Cometa myon, Barregio, Italy) for muscle activity recordings of the back, lower- and upper-extremities on the dominant side. For all experiments involving geoscientific operations by the analog astronauts, a remote-controlled robotic vehicle accompanied the astronauts in the field (Edlinger et al., 2022). The rover carried tools, samples and receiver for the motion-capture- and EMG-sensors. Additionally, the rover tracked the ambient conditions and took images of the surroundings, which are used to improve the 3D-environmental-model of the EVA region (see Figure 1). Biomechanical recordings were started remotely from the habitat. Prior to each EVA, astronauts prepared the experiment in the habitat following a controlled workflow. Four generic geoscientific operations common for geological sample-taking were performed at the beginning and end of the EVA by the test subject. The operations were performed at four different sites, each site approximately 40 to 60 m apart. A previously designed traverse plan shown in the head-up-display of the suit’s helmet defined the traverses for the astronauts. All four geoscientific operations as well as the ambulatory pathways were recorded by the motion capture- and EMG-systems. In a preliminary analysis of gait alterations, we investigated the pre- and post-EVA traverses to identify muscular fatigue accumulated over the 3 to 4 h-EVAs. The reprocessing of the motion capture recordings was performed ","url":"https://doi.org/10.36950/2024.4ciss018","authors":["Benjamin Reimeir","Anna Wargel","Franziska Riedl","Sara Maach","Robert Weidner","Gernot Grömer","Peter Federolf"],"tags":["Movement (music)","Space (punctuation)","Computer science","Art","Aesthetics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-23","doi":"https://doi.org/10.36950/2024.4ciss018","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4411624728","name":"Leveraging digital technology to improve environmental, social, and governance performance of infrastructure projects","source":"openalex","abstract":"Purpose This research explores how digital technologies can improve the environmental (E), social (S) and governance (G) performance of infrastructure projects. Design/methodology/approach Grounded in the dynamic capability view (DCV), this study adopted an exploratory qualitative approach. Semi-structured interviews were conducted with infrastructure professionals experienced in digital transformation and Environmental, Social, and Governance (ESG). An inductive thematic analysis was applied to derive insights directly from the data. To interpret and refine the emerging themes in relation to DCV, the research employed an abductive logic through a process of systematic combining allowing theory and empirical data to iteratively inform each other. Findings The results revealed that digital transformation improves ESG performance through informed decision making using real-time data, reduces time consumption in manual data processing, enhances system complexities and facilitates local and global standardization of ESG performance. Furthermore, digital technologies have far-reaching impacts on data collection, structuring, reporting and transparency. Environmental (E), social (S) and governance (G) elements of ESG can significantly be promoted using advanced technologies. The drivers and challenges associated with the adoption of digital technologies to improve ESG performance of infrastructure projects are also highlighted. Practical implications The findings of this research offer valuable insights to infrastructure professionals aiming to improve ESG performance to achieve net-zero targets, promote sustainable investment and enhance competitive advantages by adopting digital transformation in the era of digital economy. Originality/value There is dearth of empirical studies focusing on qualitative research methods that explore the use of digital technologies to advance the performance of infrastructure projects within the framework of ESG.","url":"https://doi.org/10.1108/md-04-2024-0818","authors":["Roksana Jahan Tumpa","Leila Moslemi Naeni","Fatima Afzal","Amir Naser Ghanbaripour"],"tags":["Corporate governance","Business","Process management","Environmental resource management","Environmental economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-17","doi":"https://doi.org/10.1108/md-04-2024-0818","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7108340966","name":"A Technical Framework Analysis of Digital Twin Control Algorithms for HVAC-BMS Integration and Implementation Challenges for Malaysian Green Buildings","source":"openalex","abstract":"Digital Twin technology offers transformative potential for integrating Heating, Ventilation, and Air Conditioning (HVAC) systems with Building Management Systems (BMS) in Malaysian green buildings. While proven effective in temperate regions, its application in tropical climates presents unique challenges, including high humidity, intense solar radiation, and consistently elevated temperatures. This paper examines current trends and prospects of Digital Twin applications in HVAC-BMS integration for Malaysian green buildings, focusing on implementation status, climate-specific adaptations, and potential benefits. Using PRISMA methodology, 36 articles published between 2020 - 2024 were systematically reviewed, analysing implementation frameworks, energy optimization strategies, and security considerations. Findings reveal that Model Predictive Control (MPC) algorithms achieve a 35.9% improvement in coefficient of performance compared to conventional Proportional-Integral-Derivative (PID) controllers, with energy consumption reductions of 23% - 30% across various building types. MPC-based Digital Twins demonstrate superior temperature control accuracy (± 0.4 C vs. ± 1.8 C) and humidity control precision (± 2.3 % RH vs. ± 7.5 % RH) compared to conventional systems. Implementation assessment reveals that GBI-certified buildings achieve significantly higher adoption rates (28%) compared to non-certified buildings (7%), with maturity levels primarily ranging from 1 to 3 on the 5-level framework. Break-even points typically occur between 2.2 - 3.1 years, with ROI averaging 120% - 150% over five years. Security implementation increased dramatically from 34% prior to 2022 to 87%after 2022, reflecting a heightened awareness of cybersecurity. The study concludes that Digital Twin technology offers substantial benefits for Malaysian green buildings when properly adapted to local conditions, with phased implementation approaches and public-private partnerships identified as key enablers for broader adoption supporting national sustainability objectives.","url":"https://doi.org/10.24191/jmeche.v14i1.8753","authors":["Hamidun Mohd Noh"],"tags":["Control (management)","Energy consumption","Maturity (psychological)","Computer science","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-15","doi":"https://doi.org/10.24191/jmeche.v14i1.8753","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413371915","name":"Integrating Precision Medicine and Digital Health in Personalized Weight Management: The Central Role of Nutrition","source":"openalex","abstract":"Obesity is a global health challenge marked by substantial inter-individual differences in responses to dietary and lifestyle interventions. Traditional weight loss strategies often overlook critical biological variations in genetics, metabolic profiles, and gut microbiota composition, contributing to poor adherence and variable outcomes. Our primary aim is to identify key biological and behavioral effectors relevant to precision medicine for weight control, with a particular focus on nutrition, while also discussing their current and potential integration into digital health platforms. Thus, this review aligns more closely with the identification of influential factors within precision medicine (e.g., genetic, metabolic, and microbiome factors) but also explores how these factors are currently integrated into digital health tools. We synthesize recent advances in nutrigenomics, nutritional metabolomics, and microbiome-informed nutrition, highlighting how tailored dietary strategies—such as high-protein, low-glycemic, polyphenol-enriched, and fiber-based diets—can be aligned with specific genetic variants (e.g., FTO and MC4R), metabolic phenotypes (e.g., insulin resistance), and gut microbiota profiles (e.g., Akkermansia muciniphila abundance, SCFA production). In parallel, digital health tools—including mobile health applications, wearable devices, and AI-supported platforms—enhance self-monitoring, adherence, and dynamic feedback in real-world settings. Mechanistic pathways such as gut–brain axis regulation, microbial fermentation, gene–diet interactions, and anti-inflammatory responses are explored to explain inter-individual differences in dietary outcomes. However, challenges such as cost, accessibility, and patient motivation remain and should be addressed to ensure the effective implementation of these integrated strategies in real-world settings. Collectively, these insights underscore the pivotal role of precision nutrition as a cornerstone for personalized, scalable, and sustainable obesity interventions.","url":"https://doi.org/10.3390/nu17162695","authors":["Xiaoguang Liu","Miaomiao Xu","H. Wang","Lin Zhu"],"tags":["Nutrigenomics","Precision medicine","Microbiome","Akkermansia muciniphila","Gut flora"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-20","doi":"https://doi.org/10.3390/nu17162695","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413038758","name":"Metamodeling Approach to Sociotechnical Systems’ External Context Digital Twins Building: A Higher Education Case Study","source":"openalex","abstract":"Sociotechnical systems (STSs) are generally assumed to be systems that incorporate humans and technology, strongly depending on a sustainable equilibrium between the following nondeterministic social context ingredients: social structures, roles, and rights, as well as the designers’ Holy Grail, the deterministic nature of the underlying technical system. The fact that the relevant social concepts are more mature than the supporting technologies qualifies the digital transformation of sociotechnical systems as a reengineering rather than an engineering endeavor. Preserving the social mission throughout the digital transformation process in varying social contexts is mandatory, making the digital twins (DT) methodology application a contemporary research hotspot. In this research, we combined continuous transformation STS theory principles, an observer-based system-of-sociotechnical-systems (SoSTS) architecture model, and digital twinning methods to address common STS context representation challenges. Additionally, based on model-driven systems engineering methodology and meta-object-facility principles, the research specifies the universal meta-concepts and meta-modeling templates, supporting the creation of arbitrary sociotechnical systems’ external context digital twins. Due to the inherent diversity, significantly influenced by geopolitical, economic, and cultural influencers, a higher education external context specialization illustrates the reusability potentials of the proposed universal meta-concepts. Substituting higher-education-related meta-concepts and meta-models with arbitrary domain-dependent specializations further fosters the proposed universal meta-concepts’ reusability.","url":"https://doi.org/10.3390/app15158708","authors":["Ana Perišić","Ines Perisic","Marko Lazić","Branko Perišić"],"tags":["Sociotechnical system","Metamodeling","Knowledge management","Computer science","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-06","doi":"https://doi.org/10.3390/app15158708","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4393312806","name":"The Application of Knowledge Engineering via the Use of a Biomimetic Digital Twin Ecosystem, Phenotype-Driven Variant Analysis, and Exome Sequencing to Understand the Molecular Mechanisms of Disease","source":"openalex","abstract":"Applied artificial intelligence, particularly large language models, in biomedical research is accelerating, but effective discovery and validation requires a toolset without limitations or bias. On January 30, 2023, the National Academies of Sciences, Engineering, and Medicine (NAS) appointed an ad hoc committee to identify the needs and opportunities to advance the mathematical, statistical, and computational foundations of digital twins in applications across science, medicine, engineering, and society. On December 15, 2023, the NAS released a 164-page report, \"Foundational Research Gaps and Future Directions for Digital Twins.\" This report described the importance of using digital twins in biomedical research. The current study was designed to develop an innovative method that incorporated phenotype-ranking algorithms with knowledge engineering via a biomimetic digital twin ecosystem. This ecosystem applied real-world reasoning principles to nonnormalized, raw data to identify hidden or \"dark\" data. Clinical exome sequencing study on patients with endometriosis indicated four variants of unknown clinical significance potentially associated with endometriosis-related disorders in nearly all patients analyzed. One variant of unknown clinical significance was identified in all patient samples and could be a biomarker for diagnostics. To the best of our knowledge, this is the first study to incorporate the recommendations of the NAS to biomedical research. This method can be used to understand the mechanisms of any disease, for virtual clinical trials, and to identify effective new therapies.","url":"https://doi.org/10.1016/j.jmoldx.2024.03.004","authors":["W.G. Kearns","Georgios Stamoulis","Joseph Glick","Lawrence Baisch","A.T. Benner","D E Brough","Luke Du","Bradford Wilson","Laura J. Kearns","Nicholas Ng","Maya L. Seshan","Raymond M. Anchan"],"tags":["Data science","Computer science","Precision medicine","Exome sequencing","Clinical phenotype"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-29","doi":"https://doi.org/10.1016/j.jmoldx.2024.03.004","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4394990452","name":"Maximizing throughput in NOMA-enable industrial IoT networks using digital twin and reinforcement learning","source":"openalex","abstract":"INTRODUCTION: Increased deployment of heterogeneous and complex Industrial Internet of Things (IIoT) applications such as predictive maintenance and asset tracking places a substantial strain on the limited computational and communication resources. To cater to the rigorous demands of these applications, it is imperative to devise an adaptive online resource allocation method to enhance the efficiency of the current network operations. Multiaccess edge computing (MEC) and digital twins (DTs) are promising solutions that facilitate the realization of edge intelligence and find applications in various industrial applications. Yet, little is known about the advantage the two technologies offer to IIoT networks. OBJECTIVE: This study presents a joint optimization of offloading and resource allocation approach where MEC-server DT is created at the edge, and nonorthogonal multiple access (NOMA) communication is considered between IIoT devices and the industrial gateways (IGWs) for spectral efficiency. Our proposed framework is tailored to reduce mean task completion latency and enhance overall IIoT network throughput. METHOD: To achieve our objective, we jointly optimize the computation resource allocation (RA), subchannel assignment (SA), and offloading decisions (OD). Given the inherent complexity of the problem, we further divide it into RA and SA/OD sub-problems. Employing Deep Reinforcement Learning (DRL), we have formulated a solution delineating the most efficient RA strategy and leveraged DT for optimal SA/OD strategies. RESULTS: Simulation results demonstrate the superior efficiency of our framework, realizing up to 92 % of the efficiency of the exhaustive search method while reducing computation and action decision time. CONCLUSION: In light of system dynamics considered for our work, the proposed framework perfomance showcase its robustness and potential application in real-world IIoT networks.","url":"https://doi.org/10.1016/j.jare.2024.04.021","authors":["Sekione Reward Jeremiah","David Camacho","Jong Hyuk Park"],"tags":["Computer science","Reinforcement learning","Distributed computing","Edge computing","Resource allocation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-21","doi":"https://doi.org/10.1016/j.jare.2024.04.021","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7124918178","name":"Pseudoamniotic Band Sequence Risk Factors following Fetoscopic Laser for Twin-Twin Transfusion Syndrome","source":"europepmc","abstract":"Introduction: Pseudoamniotic band sequence (PABS) is a rare but serious complication following fetoscopic laser photocoagulation (FLP) for twin-twin transfusion syndrome (TTTS). We aim to explore associations between perioperative factors and PABS in monochorionic, diamniotic twins undergoing FLP for TTTS. METHODS: A secondary analysis was conducted using a prospective cohort of 816 FLP procedures performed between 2011 and 2024 at a single fetal therapy center. All cases had confirmed absence of PABS prior to FLP via ultrasound and fetoscopic evaluation. PABS was diagnosed postnatally or suspected after FLP and confirmed after birth. Clinical and perioperative variables were compared between cases with and without PABS using appropriate two-sample tests, with statistical significance set at p < 0.01 to minimize type I error in a smaller cohort. RESULTS: PABS occurred in 11 (1.3%) cases, with only 3 (27.3%) identified prenatally and treated with in utero band lysis. Digital amputation occurred in 3 undiagnosed cases. There were no differences in maternal characteristics between groups. Estimated fetal weight discordance (p = 0.003), gestational age at FLP (p = 0.0004), and chorionamnion separation (CAS, p < 0.0001) differed significantly between cases with and without PABS. CONCLUSION: Observed associations with perioperative factors, particularly with CAS, may inform detailed post-FLP evaluation for PABS. Early detection of PABS may facilitate prenatal intervention and reduce adverse neonatal outcomes. .","url":"https://doi.org/10.1159/000550538","authors":["Felicia V. Lemoine","Sami Backley","Gustavo Vilchez-Lagos","Jimmy Espinoza","Edgar Hernandez-Andrade","Anthony Johnson","Ramesha Papanna","E Bergh"],"tags":["Medicine","Perioperative","Fetoscopy","Surgery","Obstetrics"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1159/000550538","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4404726869","name":"Research on Construction Digital Management System Based on Digital Twin","source":"openalex","abstract":"In the context of transformation and upgrading of the construction industry, traditional project construction management is still a complex \"man-machine-environment\" system engineering. The emerging digital twin technology provides new methods and technical means to realize the digitalization of construction. In order to solve the problems of redundant information of traditional construction management elements and low management efficiency, a digital model of construction management for physical space and non-physical space in the whole construction process is constructed, and an intelligent management platform for data collection and transmission of all elements of construction management is established. A process-oriented digital construction management system is proposed to realize the digital control of the construction management process. The study shows that by establishing an integrated management platform and collecting various building information elements in the whole construction process, the organic integration of construction management and digital twins can be realized, and the construction process management capabilities and management efficiency can be improved.","url":"https://doi.org/10.70088/sh4xsb11","authors":["Zhijie Zhu","Xiangyang Jiang","Yi Ma","Hanghang Fu","Ran Wang"],"tags":["Computer science","Management system","Systems engineering","Construction engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-21","doi":"https://doi.org/10.70088/sh4xsb11","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4391885820","name":"All-organic transparent plant e-skin for noninvasive phenotyping","source":"openalex","abstract":"Real-time in situ monitoring of plant physiology is essential for establishing a phenotyping platform for precision agriculture. A key enabler for this monitoring is a device that can be noninvasively attached to plants and transduce their physiological status into digital data. Here, we report an all-organic transparent plant e-skin by micropatterning poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on polydimethylsiloxane (PDMS) substrate. This plant e-skin is optically and mechanically invisible to plants with no observable adverse effects to plant health. We demonstrate the capabilities of our plant e-skins as strain and temperature sensors, with the application to Brassica rapa leaves for collecting corresponding parameters under normal and abiotic stress conditions. Strains imposed on the leaf surface during growth as well as diurnal fluctuation of surface temperature were captured. We further present a digital-twin interface to visualize real-time plant surface environment, providing an intuitive and vivid platform for plant phenotyping.","url":"https://doi.org/10.1126/sciadv.adk7488","authors":["Yanqin Yang","Tianyiyi He","Pratibha Ravindran","Feng Wen","Pannaga Krishnamurthy","Luwei Wang","Zixuan Zhang","Prakash P. Kumar","Eunyoung Chae","Chengkuo Lee"],"tags":["Polydimethylsiloxane","PEDOT:PSS","Substrate (aquarium)","Materials science","Nanotechnology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.1126/sciadv.adk7488","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4406544411","name":"Neurological history both twinned and queried by generative artificial intelligence","source":"pubmed","abstract":"Background and objectives: We propose the use of GPT-4 to facilitate initial history-taking in neurology and other medical specialties. A large language model (LLM) could be utilized as a digital twin which could enhance queryable electronic medical record (EMR) systems and provide healthcare conversational agents (HCAs) to replace waiting-room questionnaires. Methods: : supervisor to synthesize the N-P dialogue into a derived HPI and formulate the differential diagnosis. Given the random variability of GPT-4 output, each case was presented five separate times to check consistency and reliability. Results: The study achieved an overall HPI content retrieval accuracy of 81%, with accuracies of 84% for headache, 82% for stroke, and 77% for neurodegenerative diseases. Retrieval accuracies for individual HPI components were as follows: 93% for chief complaints, 47% for associated symptoms and review of systems, 76% for relevant symptom details, and 94% for histories of past medical, surgical, allergies, social, and family factors. The ranking of case diagnoses in the differential diagnosis list averaged in the 89th percentile. Discussion: Our tripartite LLM model demonstrated accuracy in extracting essential information from published case reports. Further validation with EMR HPIs, and then with direct patient care will be needed to move toward adaptation of enhanced diagnostic digital twins that incorporate real-time data from health-monitoring devices and self-monitoring assessments.","url":"https://doi.org/10.3389/fmed.2024.1496866","authors":["Jung-Hyun Lee","Eunhee Choi","Sergio Angulo","Robert A. McDougal","William W. Lytton","Lee JH","Choi E","Angulo SL","McDougal RA","Lytton WW"],"tags":["Generative grammar","Computer science","Artificial intelligence"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.3389/fmed.2024.1496866","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4392108766","name":"MediVerse : Challenges And Development Of Digital Health Transformation Towards Metaverse in Medicine","source":"openalex","abstract":"The development of telemedicine and telemedicine to digital health applications, the trend in cyberspace is the use of digitally virtualized social networks. Metaverse is based on the use of technology that enables multisensory interactions between virtual, digital objects and humans. Metaverse is supported by the use of Augmented Reality, Virtual Reality, Cloud Computing, Artificial Intelligence, Health Information Systems technology. This research aims to analyze, evaluate, and test the role of MediVerse in the challenges and development of the transformation of digital health services to the Metaverse in Medicine. This research used 624 informants in five regions of Indonesia with the highest Covid-19 cases, namely DKI Jakarta, West Java, Central Java, East Java and East Kalimantan in the period July 2021 to January 2022. The conclusions of this research are: (1) 624 respondents expressed that they are very satisfied with the current digital medical scenario and the need to implement Metaverse in medicine. This issue shows the potential benefits and importance of the application of Metaverse in Medicine in medical diagnosis, patient monitoring, healthcare training, surgery, medical therapy, and Theranostics. (2)The government is expected to support the progress and development of virtual digital systems in the Metaverse in Medicine in facing the challenges of the second stage of the Covid-19 pandemic, because it does not rule out the possibility that the Covid-19 outbreak will occur again in the next 3-4 years.","url":"https://doi.org/10.55606/jeei.v2i2.2504","authors":["Yoesoep Edhie Rachmad"],"tags":["Transformation (genetics)","Metaverse","Computer science","Data science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-20","doi":"https://doi.org/10.55606/jeei.v2i2.2504","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7131287116","name":"Digital Transformation and Human Capital in Europe’s Twin Transition: Sectoral Pathways to Productivity and Greenhouse Gas Intensity","source":"openalex","abstract":"The twin transition combines digital transformation and the green transition and is a core pillar of the European agenda for the Digital Decade. This study examines how digital transformation and digital human capital relate to labor productivity and greenhouse gas (GHG) intensity across European industries. We compile a country–sector dataset covering 26 European Union Member States and ten NACE A*10 sectors for 2023 using harmonized Eurostat sources. We employ a path-analytic framework based on composite indicators to assess direct, indirect, and context-dependent associations among digital transformation, digital human capital, labor productivity, and environmental performance. The results indicate a positive association between digitalization and digital human capital. While digital skills are positively related to labor productivity, their mediating role between digitalization and labor productivity appears limited. The available evidence also suggests that artificial intelligence plays only a small moderating role in the relationships analysed. On the environmental side, higher levels of digitalization and digital skills are associated with a slight reduction in GHG intensity, although effects are modest and display sectoral heterogeneity. Overall, the findings provide disciplined empirical evidence that can inform discussions on policies and strategies aimed at fostering a competitive, digitally advanced, and lower-emissions economy in the European Union.","url":"https://doi.org/10.3390/systems14030227","authors":["Francisco Rabadán-Pérez","Ester Muñoz-Céspedes"],"tags":["Human capital","Digital transformation","Productivity","European union","Greenhouse gas"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-24","doi":"https://doi.org/10.3390/systems14030227","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7154498928","name":"AI digital-twin ecosystem translating gut-microbiome–neuroimmune signals into precision sleep–mood interventions","source":"europepmc","abstract":"We present a novel AI-powered \"gut-brain-sleep\" digital-twin nursing ecosystem (G-B-S DT-N) that translates microbiome and neuroimmune signals into precision interventions for sleep and mood disorders. The ecosystem integrates four key layers: Microbiome Dynamics, Neuro-immune Interface, Sleep-Cognition-Emotion Circuits, and Person-Nurse-Environment Triad. These layers leverage multi-omics data, EEG sleep microstructure, real-time sensors, and EMR feeds to create a dynamic, patient-specific architecture. Uncertainty-aware explainable AI (XAI) modules ensure privacy and interpretability, enabling causal inference through advanced machine learning techniques. Adaptive care pathways, including precision pre-/post-biotic delivery and circadian light prescriptions, are optimized via nurse-in-the-loop reinforcement learning. The digital twin is operationalized through a five-step closed-loop workflow in hospital and community settings. Quantum-accelerated simulations and a proposed RCT (D-TWIN-RCT) will assess efficacy compared to standard care. Social, legal, and ethical frameworks protect data sovereignty and autonomy. This ecosystem offers a scalable solution for managing complex comorbidities, positioning nursing as a key driver of microbiome-precision medicine.","url":"https://doi.org/10.3389/fpsyt.2026.1703605","authors":["Xue Yu","Ling Fan","Shiqing Fan","Hui Li"],"tags":["Workflow","Computer science","Psychological intervention","Operationalization","Key (lock)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.3389/fpsyt.2026.1703605","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4392763329","name":"Exploring the Intelligent Emergency Management Mode of Rural Natural Disasters in the Era of Digital Technology","source":"openalex","abstract":"In recent years, rural areas of China have experienced frequent occurrences of various natural disasters. These calamities pose significant threats to the safety, property, and mental well-being of rural residents while also presenting substantial obstacles to the sustainable development of the rural economy. Currently, emergency management in China faces several challenges such as inadequate emergency institutions, insufficient security policies, weak disaster infrastructure, and difficulties in information sharing. In light of this situation, we propose an intelligent command mode based on modern digital technology that capitalizes on its advantages and integrates early warning systems with decision-making processes and rescue operations to establish a comprehensive emergency event processing system. This innovative approach opens up new avenues for exploring and researching effective modes of rural emergency management. The article elaborates on how the construction of a smart rural emergency management mode facilitates the digital integration of disaster elements while enhancing the efficiency of emergency response efforts and promoting sustainable development. The research methodology employed includes literature review methods along with field research techniques and analysis methods. Finally, this discussion evaluates both the benefits and challenges associated with implementing this mode within rural emergency management practices.","url":"https://doi.org/10.3390/su16062366","authors":["Jimei Yang","Hanping Hou","Hanqing Hu"],"tags":["Emergency management","Natural disaster","China","Sustainable development","Warning system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-13","doi":"https://doi.org/10.3390/su16062366","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4392639468","name":"Can digital transformation promote the green innovation quality of enterprises? Empirical evidence from China","source":"openalex","abstract":"Digital transformation constitutes a crucial component of the digital economy and represents a microcosmic manifestation, playing a vital role in advancing enterprise sustainable development from the perspective of green innovation quality. Using the panel data of Chinese listed companies from 2011 to 2020, the study examines the impact of digital transformation on the quality of green innovation. The study finds that digital transformation significantly increases the green innovation quality of enterprises. Moreover, the positive effect of digital transformation on green innovation quality is strengthened by the executive with digital knowledge experience and in regions with high-level intellectual property protection. The study findings contribute to digitalization research and the literature on green innovation, and provide suggestions for managers and policymakers seeking to improve the quality of environmental sustainability through digital transformation in developing economies.","url":"https://doi.org/10.1371/journal.pone.0296058","authors":["Yang Huang","Chau-wa Lau"],"tags":["Business","Digital transformation","China","Sustainability","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-11","doi":"https://doi.org/10.1371/journal.pone.0296058","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4402436275","name":"Evolution of aging mechanisms and performance degradation of lithium-ion battery from moderate to severe capacity loss scenarios","source":"openalex","abstract":"• Combines fast-charging design with diagnostic methods for Li-ion battery aging. • Studies real-life aging mechanisms and develops a digital twin for EV batteries. • Identifies factors in performance decline and thresholds for severe degradation. • Analyzes electrode degradation with non-destructive methods and post-mortem analysis. The aging mechanisms of Nickel-Manganese-Cobalt-Oxide (NMC)/Graphite lithium-ion batteries are divided into stages from the beginning-of-life (BOL) to the end-of-life (EOL) of the battery. The corresponding changes in the battery performance across these stages have been analyzed, and a digital twin model is established to quantify the primary parameters that influence these aging mechanisms. Post-mortem analysis is applied to validate the results. This paper compares the aging mechanisms from BOL to EOL using two charging protocols: a multi-step fast charge protocol and a common constant-current fast charge protocol that applies the average current of multi-step currents. Notably, a transition from a linear to a non-linear degradation trend in capacity fade is observed, beginning from a 10% capacity reduction to EOL. From BOL to 10% degradation, the resistance of solid electrolyte interphase (SEI) grows steadily. The graphite anode’s crack depth exhibits a significant increase, accompanied by an evident collapse of cathode materials in all the test cases following a 10% degradation until EOL. This phenomenon can be attributed to one primary reason—the expansion of the corresponding simulated resistance of charge transfer (R ct ). Post-mortem analysis revealed the change in morphology, structure, and composition of various degradation conditions. This analysis proved that the primary driver of the linear aging stage is the SEI growth. Furthermore, it is evident that the transition to a non-linear aging degradation is dominated by electrode defects resulting from continuous mechanical stress during long-term aging.","url":"https://doi.org/10.1016/j.cej.2024.155588","authors":["Yaqi Li","Wendi Guo","Daniel‐Ioan Stroe","Hongbo Zhao","Peter Kjær Kristensen","Lars R. Jensen","Kjeld Pedersen","Leonid Gurevich"],"tags":["Capacity loss","Degradation (telecommunications)","Battery (electricity)","Lithium (medication)","Lithium-ion battery"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-11","doi":"https://doi.org/10.1016/j.cej.2024.155588","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4403588552","name":"Conceptual Model of Graph-based Individual Tree and Its Utilization in Digital Twin and Metaverse of Urban Forest","source":"openalex","abstract":"Abstract. 3D city models are an important cornerstone in the development of digital twin cities, allowing for various analyses and simulations. CityGML, as an open standard for 3D city models, emphasizes five main aspects: scale or level of detail (LoD), semantics, geometry, topology, and appearance. One of the important elements in CityGML 3D city models is representation of vegetation. Vegetation in CityGML, especially individual trees, is still limited in terms of detail and resolution, reducing its effectiveness for specific applications. This paper proposes a graph-based conceptual model for individual trees that conforms to the CityGML v2.0 specification. The model refers to the morphological structure of a tree consisting of roots, trunk, and crown (including branches, twigs, and leaves), and considers the five main aspects of CityGML. By enhancing semantic information and geometric details, the model aims to provide an information-rich and realistic representation of individual trees in a 3D city environment. The 3D tree model created based on this conceptual model may be applicable in the development of digital twin urban forests and virtual forest simulations that utilize immersive technologies such as the metaverse. This research opens up new opportunities in the development of solitary vegetation objects through CityGML ADE by including more detailed semantic and topological information.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-7-2024","authors":["Agus Ambarwari","Deni Suwardhi","M. R. Rani","Emir Husni","Deny Willy Junaidy","Fauzan Alfi Agirachman","Arnadi Murtiyoso","Verena Christiane Griess"],"tags":["Metaverse","Graph","Conceptual model","Computer science","Tree (set theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-21","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-7-2024","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4401505206","name":"Generative AI over Mobile Networks for Human Digital Twin in Human-Centric Applications: A Comprehensive Survey","source":"openalex","abstract":"Generative artificial intelligence (GenAI) is a powerful technology that can leverage advanced AI algorithms to automatically create, manipulate, and modify valuable while diverse data. GenAI has recently attracted phenomenal attentions and can serve as a key supplement for empowering the other techniques, e.g., the emerging human digital twin (HDT) that requires high-fidelity virtual modeling and strong information interactions but possibly with scarce, biased and noisy data. This survey focuses on the implementation of GenAI enabled HDT over mobile networks, i.e., mobile GenAI-driven HDT, that particularly addresses human-centric applications, demanding customized service, user-friendly experience, context-aware response and seamless integration, while suffering from uncertain user mobility, time-varying internal/external factors, unstable end-to-end network performance, etc. We begin by elaborating the core requirements of human-centric applications, and then envision the potential of utilizing mobile GenAI-driven HDT. Following this, we delve into the fundamentals of mobile GenAIdriven HDT by discussing both GenAI and HDT in detail, and exploring how GenAI-driven HDT can be implemented under the end-edge-cloud collaborative framework over mobile networks. After that, we introduce several typical human-centric applications that may be well supported by mobile GenAIdriven HDT, including healthcare, manufacturing and intelligent transportation. Moreover, we analyze and review in-depth the technical issues and promising solutions for the realization of mobile GenAI-driven HDT, focusing on the large model deployment, personalized model evolution and immersive interactions over mobile networks. Finally, we conclude this survey by highlighting some open issues and future research directions.","url":"https://doi.org/10.36227/techrxiv.172349525.50239637/v1","authors":["Jiayuan Chen","You Shi"],"tags":["Generative grammar","Computer science","Data science","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-12","doi":"https://doi.org/10.36227/techrxiv.172349525.50239637/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4396621084","name":"The digital lab manager: Automating research support","source":"openalex","abstract":"Laboratory management automation is essential for achieving interoperability in the domain of experimental research and accelerating scientific discovery. The integration of resources and the sharing of knowledge across organisations enable scientific discoveries to be accelerated by increasing the productivity of laboratories, optimising funding efficiency, and addressing emerging global challenges. This paper presents a novel framework for digitalising and automating the administration of research laboratories through The World Avatar, an all-encompassing dynamic knowledge graph. This Digital Laboratory Framework serves as a flexible tool, enabling users to efficiently leverage data from diverse systems and formats without being confined to a specific software or protocol. Establishing dedicated ontologies and agents and combining them with technologies such as QR codes, RFID tags, and mobile apps, enabled us to develop modular applications that tackle some key challenges related to lab management. Here, we showcase an automated tracking and intervention system for explosive chemicals as well as an easy-to-use mobile application for asset management and information retrieval. Implementing these, we have achieved semantic linking of BIM and BMS data with laboratory inventory and chemical knowledge. Our approach can capture the crucial data points and reduce inventory processing time. All data provenance is recorded following the FAIR principles, ensuring its accessibility and interoperability.","url":"https://doi.org/10.1016/j.slast.2024.100135","authors":["Simon D. Rihm","Yong Ren Tan","Wilson Ang","Markus Hofmeister","Xinhong Deng","Michael Teguh Laksana","Hou Yee Quek","Jiaru Bai","Laura Pascazio","Sim Chun Siong","Jethro Akroyd","Sebastian Mosbach"],"tags":["Computer science","World Wide Web","Engineering management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-03","doi":"https://doi.org/10.1016/j.slast.2024.100135","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4412733428","name":"“Twin transition” and HRM practices: empirical evidence from Italian firms","source":"openalex","abstract":"The increasing policy emphasis on achieving a joint green and digital transformation – referred to as the ‘twin transition’ is driving techno-organisational change in new directions. This paper examines how firms’ internal organisation of labour in the manufacturing sector influences their ability to innovate in the interconnected green and digital domains. Given the systemic nature of sustainability transitions, its ‘twin’ evolution introduces complexities that extend beyond the challenges posed by decarbonisation and circularity. Empirical results show that organisational changes and human resource practices, alongside technological advancements, play a pivotal role in facilitating this transition.","url":"https://doi.org/10.1080/13662716.2025.2516036","authors":["Davide Antonioli","Claudia Ghisetti","Massimiliano Mazzanti","Francesco Nicolli","Marco Quatrosi"],"tags":["Business","Empirical evidence","Transition (genetics)","Industrial organization","Biochemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-28","doi":"https://doi.org/10.1080/13662716.2025.2516036","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4308286706","name":"Consumer self-concept and digitalization: what does this mean for brands?","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s43039-022-00059-8","authors":["Chiara Bartoli"],"tags":["Marketing","Business","Personalization","Consumer-to-business","Consumption (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-28","doi":"https://doi.org/10.1007/s43039-022-00059-8","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4413266129","name":"An Online Optimization of Prediction-Enhanced Digital Twin Migration over Edge Computing with Adaptive Information Updating","source":"openalex","abstract":"This paper investigates mobility-aware online optimization for digital twin (DT)-assisted task execution in edge computing environments. In such systems, DTs, hosted on edge servers (ESs), require proactive migration to maint... | Find, read and cite all the research you need on Tech Science Press","url":"https://doi.org/10.32604/cmc.2025.066975","authors":["Xinyu Yu","Lucheng Chen","Xingzhi Feng","Xiaoping Lu","Yuye Yang","Youcheng Shi"],"tags":["Computer science","Enhanced Data Rates for GSM Evolution","Edge computing","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.32604/cmc.2025.066975","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4412830433","name":"Integrated Geomatic Solutions for the Digital Twin of Florence: Protecting the Arno River and its Historic Urban Landscape from Climate Risks","source":"openalex","abstract":"Abstract. The interplay between urban environments and waterways is a critical aspect of sustainable city planning, particularly in historic settings vulnerable to climate change. This study presents the Digital City & River Twin (DiC&RT) framework, focusing on the historic urban fabric of Florence and its interaction with the Arno River. Unlike conventional Urban Digital Twins (UDTs), which often address isolated domains, DiC&RT intends to analyse the complex relationship between the river and the historic city by means of integrated geomatic techniques. The project addresses flood risks, structural stability, and environmental dynamics by creating a comprehensive multi-layered model. DiC&RT employs diverse data acquisition techniques, including static and kinematic LiDAR scanning, unmanned aerial and surface vehicles for photogrammetry and bathymetry, and ground-penetrating radar for subsurface analysis. A geodetic control network ensures high-precision data integration, supporting long-term monitoring. The study assesses the effectiveness of these methods in capturing the geometric and environmental characteristics of the riverbanks, bridges, and urban infrastructure. The results demonstrate the necessity of combining multiple surveying technologies to obtain a holistic representation of the study area. By integrating spatial and predictive modeling, DiC&RT enables real-time risk assessment and scenario simulations for climate change adaptation. This framework offers a scalable solution for heritage conservation, risk analysis, and adaptive urban management, potentially serving as a model for other historic cities facing similar challenges.","url":"https://doi.org/10.5194/isprs-archives-xlviii-g-2025-1463-2025","authors":["Grazia Tucci","Lidia Fiorini","Adele Meucci","Alessandro Conti"],"tags":["Geomatics","Geography","Twin cities","Climate change","Urban landscape"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-01","doi":"https://doi.org/10.5194/isprs-archives-xlviii-g-2025-1463-2025","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7131218446","name":"Role of Unified Namespace (UNS) and Digital Twins in Predictive and Adaptive Industrial Systems","source":"openalex","abstract":"The primary focus of enhancing the efficiency of operations in the Industry 4.0 setting is Predictive and Preventive Maintenance (PPM). The paper introduces a predictive-maintenance system based on the Unified Namespace (UNS), which involves real-time sensor measurements, photogrammetry, and modelling of a digital twin to improve fault prediction and responsiveness to maintenance. This experiment was conducted over six months in a medium-sized discrete electromechanical production plant equipped with motors, Variable Speed Drives (VSDs), robot/cobots, precision grip systems, pipework systems, Magnemotion/linear motor drives, and a CNC machine. The continuous data, such as high-frequency vibration, temperature, current, and pressure, were monitored and analysed with machine-learning models, including support-vector machines, Gradient Boosting, long-short-term memory, and Random Forest, through which temporal degradation can be predicted. UNS architecture integrated all sensor and imaging data into a vendor-neutral data model through OPC UA to help ensure that all experiments could be integrated consistently and be updated in real time to real digital twins. The suggested system correctly identified mechanical and electrical failures and predicted failures before they really took place. Consequently, machine downtime was reduced by 42.25%, and Mean Time to Repair (MTTR) by 36%, compared to the prior six-month baseline period. These improvements were associated with earlier anomaly detection and digital-twin-supported pre-inspection. Overall, the findings indicate that the integration of UNS with multi-modal sensing and digital-twin technologies may enhance predictive maintenance performance in comparable industrial settings. The framework provides a data-driven, scalable solution to organisations that aim to modernise their maintenance processes, attain greater reliability and better equipment utilisation, as well as enhanced Industry 4.0 preparedness.","url":"https://doi.org/10.3390/machines14020252","authors":["Renjith Kumar Surendran Pillai","Eoin O’Connell","Patrick Denny"],"tags":["Downtime","Predictive maintenance","Namespace","Reliability engineering","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-23","doi":"https://doi.org/10.3390/machines14020252","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4406901176","name":"Towards the validation of manufacturing simulations by means of digital twins: conception, implementation and data acquisition for a composite aircraft moveable manufacturing process","source":"openalex","abstract":"Abstract Simulations are used in the development of structures. These methods and their results are increasingly applied on the way toward a more analysis-based certification process for aircraft structures. The absolute basis for being considered as an acceptable means of compliance (AMC) with regard to a certification paragraph is the validation of these methods and their respective results using physical test data. This contribution describes the approach of generating this validation data and its provision by means of a digital twin (Digital twin in Definition & value. Technical report, AIAA & AIA, 12 (2020). https://www.aiaa.org/docs/default-source/uploadedfiles/issues-and-advocacy/policy-papers/digital-twin-institute-position-paper-(december-2020).pdf , 2020) of a manufacturing process. The work is performed for the virtual production of the initial virtual product house (VPH) use case, a composite multispar moveable of a long-range reference aircraft configuration. It includes the definition of the desired validation data, modeling of the manufacturing process by means of an extended formalized process description (FPD) based on Verein Deutscher Ingenieure e.V. (VDI/VDE-Richtlinie 3682-Part 1: Formalised process descriptions-concept and graphic representation. Standard. https://www.beuth.de/de/technische-regel/vdi-vde-3682-blatt-1/230173798 , 2015), the choice of required sensors as well as their integration into an existing tooling as well as the structure itself. Furthermore, the realization and data acquisition during the manufacturing process as well as the creation of a digital twin using a data model based on the formalised process are described. Finally, first results for the evaluation of the use case structure are presented. It is shown that is possible to provide a digital twin based on measured sensor data and provide pre-processing capabilities for this raw data to facilitate the validation of manufacturing process simulations. The creation of this digital twin and the overall realization of the manufacturing is greatly facilitated by the use of FPD and a derived digital life data sheet (LDS).","url":"https://doi.org/10.1007/s13272-024-00800-3","authors":["Martin Rädel","Björn Denker","Bram van de Kamp","Nico Liebers","Robert Prussak"],"tags":["Process (computing)","Manufacturing engineering","Engineering","Manufacturing process","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/s13272-024-00800-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4410309131","name":"Impact of digital transformation for sustainable circular economic environments","source":"openalex","abstract":"Abstract Digital Transformation is a global phenomenon, capturing the attention in every industry and spurring major investment. However, digital transformation is not a single objective, but a multi-faceted approach depending on specific industrial goals and their digital maturity. Digital transformation is the way of change from a monolithic business approach to fully digitalized business strategies, resulting in digital transformation a key economic objective and a major success factor of a comprehensive corporate transformation. In addition to digital technologies, processes, and procedures, and aside from that also skilled employees required keeping pace in reacting quickly to changes in order to adapt to necessary needs and opportunities in the markets, to drive growth and innovation. In the first of the four industrial evolutions, steam power was a disruptive technology that has changed the working capabilities. In the second it was the assembly line and in the third the computer. Today, in the fourth industrial evolution, everything is digital. Intelligent digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Big Data and Analytics, Automated Robots, and others are accelerating a profound transformation in the way industries work and do business. However, beside digital transformation a second transformation narrative occur, which refers to the circularity of business models, based on the foundation, that sustainability, and specifically circularity is a path to an environmentally friendly production and profitability. This business model is not yet widespread everywhere, but economic, social, and technological changes are enabling circularity be enticing. Given this fact, circular economy makes sense not only from an environmental perspective, it’s also likely the way forward to the central goal of waste reduction in production, and also initiating a prosperous environmentally friendly business strategy. In this context, digital transformation can enhance circular economy and circular business models tantalizingly as enabler. Doing so, the technologies used beside circularity byproduct design, production, maintainability and for product life extension, are enabled by data streams about condition, location, availability of required resources. Furthermore, digital transformation technologies enable repairability, reusability of materials, recovery and recycling of materials used and others in circular economy. In this sense, the paper introduces the fundamental background of both transformation narratives in detail with their special capabilities, and also explains their pros and cons and potential applications.","url":"https://doi.org/10.1007/s44438-025-00001-3","authors":["Dietmar P. F. Möller","Qichen Wang","Liangchao Huang","Bin Xiong","Yilin Guo","Tianle Shi","Ru Zhang"],"tags":["Transformation (genetics)","Digital transformation","Circular economy","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-12","doi":"https://doi.org/10.1007/s44438-025-00001-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4407407777","name":"A Solution for the Health Data Sharing Dilemma: Data-Less and Identity-Less Model Sharing Through Federated Learning and Digital Twin-Assisted Clinical Decision Making","source":"openalex","abstract":"Digital twins are essentially digital replicas of physical entities. Their usage is becoming more common across various industries, including healthcare. However, the implementation of digital twins in healthcare is uniquely challenging. This is partly because of the sensitive nature of health data and privacy concerns. These concerns limit health data accessibility and shareability. This paper attempts to address this challenge of health data sharing. We propose a novel approach that leverages federated learning, model sharing, and digital twin-assisted clinical decision making. Our approach ensures that health data are kept federated with healthcare providers. Healthcare providers train machine learning models on their own data. Then, instead of sharing the data, the trained models are shared. This is enabled via an arrangement like a private blockchain that is accessible to subscribed healthcare providers. This approach allows healthcare providers to access and use machine learning models for clinical decision support without compromising sensitive data about patients. Certain information about machine learning models will be shared. These include indicators such as the sample size on which a model has been trained on, validation metrics, and model accuracy. Such information assists other healthcare providers in selecting the most effective models. We demonstrate the efficacy of this approach through a case study on chronic disease management (e.g., cancer) using Liquid Neural Networks. Our results show how federated learning and model sharing can enhance clinical decision making and improve patient outcomes while ensuring the privacy of data.","url":"https://doi.org/10.3390/electronics14040682","authors":["Nilmini Wickramasinghe","Nalika Ulapane"],"tags":["Dilemma","Data sharing","Computer science","Identity (music)","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-10","doi":"https://doi.org/10.3390/electronics14040682","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4410459541","name":"Idealized aortic annuloplasty FSI digital twin of 3D-printed phantoms with 4D-flow MRI comparison","source":"openalex","abstract":"BACKGROUND: Aortic annuloplasty, involving the implantation of an external ring around the aortic root to reduce annular dimensions, is a promising treatment for aortic valve insufficiency. However, its hemodynamic effects remain underexplored due to the absence of computational models validated by experimental and clinical data. METHODS: This study introduces a computational fluid-structure interaction (FSI) model of supra valvular aortic annuloplasty using 4D-flow magnetic resonance imaging (MRI). Native and post-annuloplasty conditions of idealized aortic root phantoms, including the aortic valve, were CAD-modelled and 3D-printed with elastic resin. These phantoms were tested in a mock circulatory flow-loop providing normal pulsatile physiologic conditions using a glycerol-water mixture to simulate blood viscosity. Flow and pressure data collected from sensors were used as boundary conditions for FSI simulations. Experimental velocity fields from 4D-flow MRI were compared to computational results to assess model accuracy. RESULTS: MRI scans of the annuloplasty model showed an increased peak systolic velocity (up to 145.4 cm/s) and localized flow alterations, corresponding to a higher pressure gradient across the valve. During regurgitation, the annuloplasty model showed broader velocity distributions compared to the native condition. The FSI simulations closely matched 4D-flow MRI data, with strong correlation coefficients (r > 0.93) and minimal Bland-Altman differences, particularly during systolic phases. CONCLUSIONS: This study establishes an integrative methodology combining in-vitro, in-silico, and clinical imaging techniques to evaluate aortic annuloplasty hemodynamics. The in-vitro validated digital twin framework offers a pathway for patient-specific modelling, enabling prediction of surgical outcomes and optimization of aortic valve repair strategies.","url":"https://doi.org/10.1016/j.compbiomed.2025.110398","authors":["Luca Bontempi","Marta Zattoni","Anna Ramella","Francesco Migliavacca","Steffen Ringgaard","Won Yong Kim","Peter Johansen","Monika Colombo"],"tags":["3d printed","Flow (mathematics)","Biomedical engineering","Materials science","Geology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.1016/j.compbiomed.2025.110398","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W7138889088","name":"Multifactor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins","source":"openalex","abstract":"Cloud-based digital twin (DT) platforms enable real-time monitoring, simulation, and collaborative decision-making across distributed clients. However, ensuring secure and trustworthy communication remains a critical challenge due to heterogeneous client behavior, resource contention, and evolving adversarial threats. This article proposes themultifactor trust-driven secure communication(MT-SeCom) framework to enforce resilient and intelligent collaboration in DT-enabled cloud environments. MT-SeCom operates through four coordinated phases: First,multifactor trust monitoring, capturing temporal, contextual, and federated trust signals; second,adaptive trust evaluation, adjusting trust weights based on network dynamics and threat intensity; third,Transformer-based trusted client classification, combining anomaly detection with supervised learning to accurately identify malicious or unreliable nodes; and finally,resilient communication management, optimizing routing, isolating compromised clients, and ensuring service continuity. A real-world testbed and comprehensive experiments demonstrate that MT-SeCom significantly enhances secure communication, mitigates cascading adversarial effects, and maintains high resilience under fluctuating attack conditions. MT-SeCom achieves an average18.7%improvement in threat detection accuracy and a24.3%reduction in anomaly occurrences compared to existing methods, confirming its robustness, scalability, and practical suitability for heterogeneous cloud-based DT ecosystems.","url":"https://doi.org/10.1109/tii.2026.3669993","authors":["Deepika Saxena","Ashutosh Kumar Singh"],"tags":["Computer science","Testbed","Adversarial system","Resilience (materials science)","Anomaly detection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-18","doi":"https://doi.org/10.1109/tii.2026.3669993","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4412642972","name":"Digital Literacy and STEM Skills– What is the Connection? A Systematic Review","source":"openalex","abstract":"Abstract Digital literacy and STEM education have become important aspects of the digital era, as they are considered potential solutions to address students’ declining interest in science disciplines in many countries and to enhance teaching. However, alongside this growing interest, there has been a fragmentation in the interpretation of its theoretical foundations, sparking ongoing debate about the core concepts of digital literacy and its use in education, more specifically in STEM fields. The effective use of digital tools and platforms in this era for sustainable lifelong learning is crucial, which aligns with the Sustainable Development Goal (SDG 4). The sustainability of lifelong learning has made its implementation, translation into practical projects, and evaluation more complex. To determine the association between digital literacy and STEM skills, a systematic literature review following the PRISMA 2020 guidelines was conducted to select relevant articles on digital literacy and STEM skills. The review focused on identifying and assessing the digital tools, platforms, and teaching interventions with digital literacy and their effect on advancing STEM skills. It was found that in most (58%) of the studies reviewed, there is broad agreement on the positive impact of digital literacy in advancing STEM skills, such as critical thinking, innovation, construction of knowledge, design, and collaboration. Furthermore, in several studies (46%), it was determined that STEM education likewise develops digital literacy, showing the interdependence of both digital literacy and STEM skills as essential 21st-century skills. Some implications for practice and recommendations are provided.","url":"https://doi.org/10.1007/s10758-025-09879-x","authors":["Irene Govender"],"tags":["Connection (principal bundle)","Science education","Educational technology","Literacy","Scientific literacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-24","doi":"https://doi.org/10.1007/s10758-025-09879-x","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4412631376","name":"A Deep Reinforcement Learning-Based Concurrency Control of Federated Digital Twin for Software-Defined Manufacturing Systems","source":"openalex","abstract":"Modern manufacturing demands real-time, scalable coordination that legacy manufacturing management systems cannot provide. Digital transformation encompasses the entire manufacturing infrastructure, which can be represented by digital twins for facilitating efficient monitoring, prediction, and optimization of factory operations. A Federated Digital Twin (FDT) emerges by combining heterogeneous digital twins, enabling real-time collaboration, data sharing, and collective decision-making. However, deploying FDTs introduces new concurrency control challenges, such as priority inversion and synchronization failures, which can potentially cause process delays, missed deadlines, and reduced customer satisfaction. Traditional concurrency control approaches in the computing domain, due to their reliance on static priority assignments and centralized control, are inadequate for managing dynamic, real-time conflicts effectively in real production lines. To address these challenges, this study proposes a novel concurrency control framework combining Deep Reinforcement Learning with the Priority Ceiling Protocol. Using SimPy-based discrete-event simulations, which accurately model the asynchronous nature of FDT interactions, the proposed approach adaptively optimizes resource allocation and effectively mitigates priority inversion. The results demonstrate that against the rule-based PCP controller, our hybrid DRLCC enhances completion time maximum of 24.27% to a minimum of 1.51%, urgent-job delay maximum of 6.65% and a minimum of 2.18%, while preserving lower-priority inversions.","url":"https://doi.org/10.3390/app15158245","authors":["Rubab Anwar","Jin-Woo Kwon","Won-Tae Kim"],"tags":["Computer science","Multiversion concurrency control","Concurrency control","Reinforcement learning","Distributed concurrency control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-24","doi":"https://doi.org/10.3390/app15158245","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4406858191","name":"Mechanical property strengthening by post-heat treatments in NiTiCu shape memory alloys fabricated by twin-wire arc additive manufacturing","source":"openalex","abstract":"To address the challenges of wide transformation hysteresis as well as the poor properties of NiTi-based alloys fabricated by twin-wire arc additive manufacturing, post-heat treatments were employed in as-deposited NiTiCu alloys. After aging at 450°C, 550°C, and 650°C, the alloys exhibited significant reduction in the precipitate sizes, narrow transformation hysteresis, uniform distribution of microhardness, and substantial improvement in mechanical properties. With the increase of the aging temperature, the matrix grain size and the precipitate size coarsened, which was detrimental to the resultant mechanical properties. The alloys aged at 450°C exhibited the narrowest transformation hysteresis of 11.7°C and optimal mechanical properties (tensile strength of 539 MPa and fracture strain of 6.9%). The enhancement of mechanical properties can be attributed to the smaller matrix grain size and precipitate size and the higher proportion of high-angle grain boundaries in this material condition. This work provides practical significance for the twin-wire arc additive manufacturing and performance optimisation of NiTi-based ternary alloys.","url":"https://doi.org/10.1080/17452759.2025.2457579","authors":["Long Chen","Miao Zhao","Jiehao Wu","J.P. Oliveira","Fissha Biruke Teshome","Bowen Pang","Jiajia Shen","Yiming Wu","Naixun Zhou","Norbert Schell","Zhi Zeng"],"tags":["Materials science","Shape-memory alloy","Arc (geometry)","Property (philosophy)","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-27","doi":"https://doi.org/10.1080/17452759.2025.2457579","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4410478082","name":"Advancing cultural heritage: a decadal review of digital transformation in Chinese museums","source":"openalex","abstract":"Museum digitization provides feasibility for preserving, displaying, and sharing cultural heritage and increases public engagement and education. This study aims to systematically examine the progress of Chinese museums’ digitization and understand its achievements and limitations in the last decade. To this end, a systematic literature review was conducted in three scientific databases: Web of Science, Scopus, ScienceDirect, and Google Scholar as a supporting database. The sample was selected based on the PRISMA guidelines. The results indicate that the digital reform of Chinese museums includes the digital management system, digitization information collection, online exhibitions, virtual tours, and the application of virtual reality, augmented reality, big data, and artificial intelligence. These technologies offer visitors new and exciting experiences, enrich exhibition forms, and promote public learning. Immersive technologies and interactive experiences are the hot topic of research. Therefore, the effectiveness of museum exhibitions can be improved by encouraging visitor engagement and interaction.","url":"https://doi.org/10.1038/s40494-025-01714-x","authors":["Chunlan Yang","Tengku Siti Meriam Tengku Wook","Fadhilah Rosdi"],"tags":["Cultural heritage","Transformation (genetics)","History","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-19","doi":"https://doi.org/10.1038/s40494-025-01714-x","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4414109725","name":"Digital Twins for Precision Oncology: Modelling Foundations, Clinical Applications, and Open Challenges","source":"openalex","abstract":"The field of digital twins (DT) is a rapidly expanding area in healthcare. Although DTs have long been established in engineering and military contexts, their adoption in medicine remains in its infancy. However, in cancer care, DTs have extraordinary potential to revolutionise early disease detection, treatment response prediction, prognostication, decision-making and personalised patient management. In this review, we focus on oncology DTs with emphasis on [a] current applications, [b] identifying key deployment challenges and bottlenecks to clinical adoption, [c] describing available development tools, and [d] discussing ethical considerations. We also chart the growing influence of DTs as a transformative force in personalised cancer care.","url":"https://doi.org/10.22541/au.175753019.93675772/v1","authors":["Mahmood Alam","Muhammad Bilal","Shazad Q Ashraf","Nabil E. Omar","Junaid Qadir"],"tags":["Computer science","Field (mathematics)","Data science","Precision medicine","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-10","doi":"https://doi.org/10.22541/au.175753019.93675772/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4409919710","name":"Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies","source":"openalex","abstract":"Efficient solid–liquid separation is crucial in industries like mining, but traditional chamber filter presses depend heavily on manual monitoring, leading to inefficiencies, downtime, and resource wastage. This paper introduces a machine learning-powered digital twin framework to improve the operational flexibility and predictive control of a traditional chamber filter press. A key challenge addressed is the degradation of the filter medium due to repeated cycles and clogging, which reduces filtration efficiency. To solve this, a neural network-based predictive model was developed to forecast operational parameters, such as pressure and flow rates, under various conditions. This predictive capability allows for optimized filtration cycles, reduced downtime, and improved process efficiency. Additionally, the model predicts the filter medium’s lifespan, aiding in maintenance planning and resource sustainability. The digital twin framework enables seamless data exchange between filter press sensors and the predictive model, ensuring continuous updates to the training data and enhancing accuracy over time. Two neural network architectures, feedforward and recurrent, were evaluated. The recurrent neural network outperformed the feedforward model, demonstrating superior generalization. It achieved a relative L2-norm error of 5% for pressure and 9.3% for flow rate prediction on partially known data. For completely unknown data, the relative errors were 18.4% and 15.4%, respectively. Qualitative analysis showed strong alignment between predicted and measured data, with deviations within a confidence band of 8.2% for pressure and 4.8% for flow rate predictions. This work contributes an accurate predictive model, a new approach to predicting filter medium cycle impacts, and a real-time interface for model updates, ensuring adaptability to changing operational conditions.","url":"https://doi.org/10.3390/app15094933","authors":["Dennis Teutscher","Tyll Weber-Carstanjen","Stephan Simonis","Mathias J. Krause"],"tags":["Filter (signal processing)","Computer science","Materials science","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-29","doi":"https://doi.org/10.3390/app15094933","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4391132312","name":"A dynamic knowledge graph approach to distributed self-driving laboratories","source":"openalex","abstract":"The ability to integrate resources and share knowledge across organisations empowers scientists to expedite the scientific discovery process. This is especially crucial in addressing emerging global challenges that require global solutions. In this work, we develop an architecture for distributed self-driving laboratories within The World Avatar project, which seeks to create an all-encompassing digital twin based on a dynamic knowledge graph. We employ ontologies to capture data and material flows in design-make-test-analyse cycles, utilising autonomous agents as executable knowledge components to carry out the experimentation workflow. Data provenance is recorded to ensure its findability, accessibility, interoperability, and reusability. We demonstrate the practical application of our framework by linking two robots in Cambridge and Singapore for a collaborative closed-loop optimisation for a pharmaceutically-relevant aldol condensation reaction in real-time. The knowledge graph autonomously evolves toward the scientist's research goals, with the two robots effectively generating a Pareto front for cost-yield optimisation in three days.","url":"https://doi.org/10.1038/s41467-023-44599-9","authors":["Jiaru Bai","Sebastian Mosbach","Connor J. Taylor","Dogancan Karan","Kok Foong Lee","Simon D. Rihm","Jethro Akroyd","Alexei A. Lapkin","Markus Kraft"],"tags":["Computer science","Workflow","Executable","Interoperability","Reuse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-23","doi":"https://doi.org/10.1038/s41467-023-44599-9","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"oa:W4404487794","name":"The Interplay Between Digital Technologies and Sustainable Performance: Does Lean Manufacturing Matter?","source":"openalex","abstract":"This study examines how digital technologies can improve a company’s overall sustainability. It also explores whether lean manufacturing practices can mediate the connection between digital technologies and sustainability. Data were collected from 319 senior managers, production managers, and general managers at Egyptian manufacturing companies and examined using the software Smart-PLS 4. The results show that digital technologies (i.e., blockchain, the Internet of Things, big data analytics, cloud computing, and the digital twins) have a positive impact on all three aspects of sustainability: environmental, social, and economic. Additionally, lean manufacturing was found to play a key role in this relationship. The model explained 34.3% of lean manufacturing practices, 59.7% of sustainable economic performance, 40.3% of sustainable social performance, and 40.6% of sustainable environmental performance. The findings of this study have some implications for companies, investors, and policymakers regarding how to improve economic, social, and environmental performance through fostering LMP and proper implementation of Digital Technologies (DTs). The current investigation extends the discourse on the role of digital technologies and new manufacturing techniques like lean manufacturing and how they can lead to sustainable performance. Positioned as one of the initial studies to examine the mediating role of lean manufacturing in the association between digital technologies and sustainable performance, this study provides insights within an emerging market context.","url":"https://doi.org/10.3390/su162210002","authors":["Mohammed Ibrahim Buhaya","Abdelmoneim Bahyeldin Mohamed Metwally"],"tags":["Lean manufacturing","Business","Manufacturing engineering","Digital manufacturing","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-16","doi":"https://doi.org/10.3390/su162210002","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"doi:10.2139/ssrn.4777397","name":"A Digital-Twin Driven Split Hopkinson Bar Layout for the Tensile Characterization of Thin, Low Impedance, Sheet-Like Materials","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4777397","authors":["Georg Baumann","Caterina Czibula","Ulrich Hirn","Florian Feist"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-29T02:24:31Z","doi":"10.2139/ssrn.4777397","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.21203/rs.3.rs-3985359/v1","name":"From Data to Action: Flood Forecasting Leveraging Graph Neural Networks and Digital Twin Visualization","source":"preprints","abstract":"Abstract Forecasting floods encompasses significant complexity due to the nonlinear nature of hydrological systems, which involve intricate interactions among precipitation, landscapes, river systems, and hydrological networks. Recent efforts in hydrology have aimed at predicting water flow, floods, and quality, yet most methodologies overlook the influence of adjacent areas and lack advanced visualization for water level assessment. Our contribution is twofold: firstly, we introduce a graph neural network model equipped with a graph learning module to capture the interconnections of water systems and the connectivity between stations to predict future water levels. Secondly, we develop a simulation prototype offering visual insights for decision-making in disaster prevention and policy-making. This prototype visualizes predicted water levels and facilitates data analysis using decades of historical information. Focusing on the Greater Montreal Area (GMA), particularly Terrebonne, Quebec, Canada, we apply our model and prototype to demonstrate a comprehensive method for assessing flood impacts. By utilizing a digital twin of Terrebonne, our simulation tool allows users to interactively modify the landscape and simulate various flood scenarios, thereby providing valuable insights into preventive strategies. This research aims to enhance water level prediction and evaluation of preventive measures, setting a benchmark for similar applications across different geographic areas.","url":"https://doi.org/10.21203/rs.3.rs-3985359/v1","authors":["Naghmeh Shafiee Roudbari","Shubham Rajeev Punekar","Zachary Patterson","Ursula Eicker","Charalambos Poullis"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3985359/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.12962/j24609463.v10i01.2071","name":"Utilizing the High Maturity Level of Digital Twin for Construction Resource","source":"crossref","abstract":"This article presents an approach to utilize the high maturity level of digital twin for construction resource monitoring. The digital twin is used in construction projects as a systematic representation of physical objects into virtual models of construction. While the resource monitoring system is used as a decision-making tool to optimize resource leveling optimization. A high maturity level is needed to provide an interoperable ecosystem for the construction monitoring process. The state-of-the-art literature review and gap identification are used through various studies related to the research objectives. The result shows that the integration of Building Information Modeling (BIM), geographic information system (GIS), machine learning (ML), and monitoring dashboard is needed for the digital twin resource monitoring model for controlling resource utilization on the project. A platform ecosystem is also required to effectively obtain an efficient decision making process for project construction. The study contributes to the framework of digital twin for aerial construction.","url":"https://doi.org/10.12962/j24609463.v10i01.2071","authors":["Muhammad Rilly Aka Yogi","Gunawan Saroji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-19T02:24:52Z","doi":"10.12962/j24609463.v10i01.2071","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1201/9781003395416-19","name":"Image Sensing for Industry 4.0 Using Auto Resonance Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003395416-19","authors":["Shilpa Mayannavar","Uday Wali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-17T18:23:25Z","doi":"10.1201/9781003395416-19","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3390/aerospace11030222","name":"Preliminary Nose Landing Gear Digital Twin for Damage Detection","source":"crossref","abstract":"An increase in aircraft availability and readiness is one of the most desired characteristics of aircraft fleets. Unforeseen failures cause additional expenses and are particularly critical when thinking about combat jets and Unmanned Aerial Vehicles (UAVs). For instance, these systems are used under extreme conditions, and there can be situations where standard maintenance procedures are impractical or unfeasible. Thus, it is important to develop a Health and Usage Monitoring System (HUMS) that relies on diagnostic and prognostic algorithms to minimise maintenance downtime, improve safety and availability, and reduce maintenance costs. In particular, within the realm of aircraft structures, landing gear emerges as one of the most intricate systems, comprising several elements, such as actuators, shock absorbers, and structural components. Therefore, this work aims to develop a preliminary digital twin of a nose landing gear and implement diagnostic algorithms within the framework of the Health and Usage Monitoring System (HUMS). In this context, a digital twin can be used to build a database of signals acquired under healthy and faulty conditions on which damage detection algorithms can be implemented and tested. In particular, two algorithms have been implemented: the first is based on the Root-Mean-Square Error (RMSE), while the second relies on the Mahalanobis distance (MD). The algorithms were tested for three nose landing gear subsystems, namely, the steering system, the retraction/extraction system, and the oleo-pneumatic shock absorber. A comparison is made between the two algorithms using the ROC curve and accuracy, assuming equal weight for missed detections and false alarms. The algorithm that uses the Mahalanobis distance demonstrated superior performance, with a lower false alarm rate and higher accuracy compared to the other algorithm.","url":"https://doi.org/10.3390/aerospace11030222","authors":["Lucio Pinello","Omar Hassan","Marco Giglio","Claudio Sbarufatti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-12T12:14:40Z","doi":"10.3390/aerospace11030222","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/mnet.2024.3386030","name":"Digital Twin-Driven Network Architecture for Video Streaming","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mnet.2024.3386030","authors":["Xinyu Huang","Haojun Yang","Shisheng Hu","Xuemin Shen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-08T21:10:24Z","doi":"10.1109/mnet.2024.3386030","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.26434/chemrxiv-2024-8dkh0","name":"Closed-Loop Navigation of a Kinetic Zone Diagram for Redox-Mediated Electrocatalysis Using Bayesian Optimization, a Digital Twin, and Automated Electrochemistry","source":"crossref","abstract":"Molecular electrocatalysis campaigns often require tuning multiple experimental parameters to obtain kinetically insightful electrochemical measurements, a prohibitively time-consuming task when performing comprehensive studies across multiple catalysts and substrates. In this work, we present an autonomous workflow that combines Bayesian optimization and automated electrochemistry to perform fully unsupervised cyclic voltammetry (CV) studies of molecular electrocatalysis. We developed CV descriptors that leveraged the conceptual framework of the EC’ kinetic zone diagram to enable efficient Bayesian optimization. The CV descriptor’s effect on optimization performance was evaluated using a digital twin of our autonomous experimental platform, quantifying the accuracy of obtained kinetic values against the known ground truth. We demonstrated our platform experimentally by performing autonomous studies of TEMPO-catalyzed ethanol and isopropanol electro-oxidation, demonstrating rapid identification of kinetically insightful conditions in 10 or less iterations through the closed-loop workflow. Overall, this work highlights the application of autonomous electrochemical platforms to accelerate mechanistic studies in molecular electrocatalysis and beyond.","url":"https://doi.org/10.26434/chemrxiv-2024-8dkh0","authors":["Michael Pence","Gavin Hazen","Joaquín Rodríguez López"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-23T03:10:03Z","doi":"10.26434/chemrxiv-2024-8dkh0","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.21203/rs.3.rs-4870352/v1","name":"Digital Twin for Chemical Sciences (DTCS): A Blueprint for Digitizing Chemical Characterization","source":"preprints","abstract":"Abstract Directly visualizing chemical trajectories offers novel insights into catalysts, gas phase reactions, photo-induced dynamics, and quantum information processing. Identifying and tracking the exchange of matter to observe the creation and annihilation of chemical species is best achieved by closely coupling theory and experiment. We developed Digital Twin for Chemical Science (DTCS) v.01, a platform that mimics advanced characterization instruments, including those at Scientific User Facilities. DTCS v.01 addresses challenges in data acquisition, analysis, and model-driven interpretation via a physics-based, AI-accelerated approach. We validated this concept with ambient pressure X-ray Photoelectron Spectroscopy (APXPS) observations using a ubiquitous metal-water interfacial scenario, i.e., Ag/H2O, as a representative example. The inputs of DTCS v.01 are designed to mirror the experimental chemists' workflows, and the outputs can be directly compared to and are constantly updated from the experimental data. This integrated theoretical and experimental platform enhances user accessibility and facilitates the acquisition of standardized mechanistic insights.","url":"https://doi.org/10.21203/rs.3.rs-4870352/v1","authors":["Jin Qian","Asmita Jana","Siddarth Menon","Andrew Bogdan","Rebecca Hamlyn","Johannes Mahl","Ethan Crumlin"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4870352/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202404.0912.v1","name":"Sounds of History: A Digital Twin Approach to Musical Heritage Preservation in Virtual Museums","source":"preprints","abstract":"Music cultural heritage, as an important component of cultural heritage, possesses significant cultural value and inheritance significance. With the development of society and the passage of time, these precious traditional music cultural heritages inevitably face the dilemma of gradual depletion or even disappearance. In the digital age, effectively protecting and inheriting these music cultural heritages has become an urgent problem to be addressed. Therefore, this paper proposes an application method based on digital twin technology, exploring how to protect and inherit music cultural heritages through digital twin technology. By leveraging digital twin technology, a virtual museum dedicated to showcasing the richness and historical connotations of music cultures is created, preserving and simulating the soundscapes of historical music eras. Through the integration of audio archives, 3D modeling, and interactive displays, users can immerse themselves in the experience of historical music in the digital space. This paper evaluates the feasibility and cultural preservation value of this digital music history museum through the creation of music digital twin technology instances and user survey feedback, and discusses the prospects of digital twins in the field of music cultural heritage.","url":"https://doi.org/10.20944/preprints202404.0912.v1","authors":["ChangMan Zou","Sang-Yong Rhee","Lin He","DaYang Chen","Xiaofei Yang"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202404.0912.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.5151/2594-5335-39789","name":"EXECUTABLE DIGITAL TWIN FOR WAGON TIPPLER","source":"crossref","abstract":"","url":"https://doi.org/10.5151/2594-5335-39789","authors":["Gilson Geovani Sutil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-04T18:09:26Z","doi":"10.5151/2594-5335-39789","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.15477/sze.mmtdi.2025.012","name":"Implementation of Digital Twin Technology for Decision-making Support in Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.15477/sze.mmtdi.2025.012","authors":["Gergő Dávid Monek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T06:45:59Z","doi":"10.15477/sze.mmtdi.2025.012","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/978-3-031-26104-6_2","name":"Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6_2","authors":["Sarah Pilz","Talea Hellweg","Christian Harteis","Ulrich Rückert","Martin Schneider"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T02:01:47Z","doi":"10.1007/978-3-031-26104-6_2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/b978-0-12-821631-6.01001-x","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.01001-x","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:58Z","doi":"10.1016/b978-0-12-821631-6.01001-x","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1049/pbhe046e_fm","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_fm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_fm","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1080/27525783.2026.2690864","name":"Spatiotemporal dual dimensional disturbance perception and Bayesian quantitative assessment method for flexible job shop scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2690864","authors":["Yingying Zhu","Bingchen Zhang","Ronghua Meng","Honglong Zhang","Siwei Huang","Nengzhiwei Chen","Jin Gao","Chengxin Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T10:35:45Z","doi":"10.1080/27525783.2026.2690864","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.4837088","name":"Evaluation of the Energy Saving Potential of Mpc with a Digital Twin – a Measurement-Based Study in Swedish Multi-Family Buildings","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4837088","authors":["Daniel Olsson","Peter Filipsson","Anders Trüschel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T02:17:38Z","doi":"10.2139/ssrn.4837088","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3390/jmmp8050214","name":"Development and Application of Digital Twin Control in Flexible Manufacturing Systems","source":"openalex","abstract":"Flexible manufacturing systems (FMS) are highly adaptable production systems capable of producing a wide range of products in varying quantities. While this flexibility caters to evolving market demands, it also introduces complex scheduling and control challenges, making it difficult to optimize productivity, quality, and energy efficiency. This paper explores the application of digital twin technology to tackle these challenges and enhance FMS optimization and control. A digital twin, constructed by integrating simulation models, data acquisition, and machine learning algorithms, was employed to replicate the behavior of a real-world FMS. This digital twin enabled real-time dynamic optimization and adaptive control of manufacturing operations, facilitating informed decision making and proactive adjustments to optimize resource utilization and process efficiency. Computational experiments were conducted to evaluate the digital twin implementation on an FMS equipped with robotic material handling, CNC machines, and automated inspection. Results demonstrated that the digital twin significantly improved FMS performance. Productivity was enhanced by 14.53% compared to conventional methods, energy consumption was reduced by 13.9%, and quality was increased by 15.8% through intelligent machine coordination. The dynamic optimization and closed-loop control capabilities of the digital twin significantly improved overall equipment effectiveness. This research highlights the transformative potential of digital twins in smart manufacturing systems, paving the way for enhanced productivity, energy efficiency, and defect reduction. The digital twin paradigm offers valuable capabilities in modeling, prediction, optimization, and control, laying the foundation for next-generation FMS.","url":"https://doi.org/10.3390/jmmp8050214","authors":["Asif Ullah","Muhammad Younas"],"tags":["Control (management)","Manufacturing engineering","Computer science","Control engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-28","doi":"10.3390/jmmp8050214","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.2139/ssrn.5077054","name":"Towards Hydrogen-Powered Electric Aircraft: Physics-Informed Machine Learning Based Multi-Domain Modeling and Real-Time Digital Twin Emulation on Fpga","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5077054","authors":["Songyang Zhang","Venkata Dinavahi","Tian Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-30T21:42:30Z","doi":"10.2139/ssrn.5077054","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/tencon61640.2024.10902947","name":"Hybrid Digital Twin-P&amp;O Photovoltaic Controller for Partial Shading Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tencon61640.2024.10902947","authors":["Ying-Yi Hong","Francisco I. Alano","Chia-Yu Han","Chin-Chan Cheng","Yih-Der Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:40:14Z","doi":"10.1109/tencon61640.2024.10902947","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/globecom52923.2024.10901067","name":"Digital twin-based Intrusion Detection in Smart Grid : A Multi-kernel Knowledge Replay Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901067","authors":["Qihao Li","Mingyan Li","Jiawen Kang","Fengye Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901067","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.21956/openreseurope.18067.r39153","name":"Peer Review Report For: Digital twin modeling: A comparison of current approaches [version 1; peer review: 1 approved, 1 approved with reservations, 2 not approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/openreseurope.18067.r39153","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T14:17:08Z","doi":"10.21956/openreseurope.18067.r39153","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3917/e.jie.045.0001","name":"The Twin Digital and Green Transition: Paradigm Shift or Tech Fix?","source":"crossref","abstract":"","url":"https://doi.org/10.3917/e.jie.045.0001","authors":["Andreas Pyka","Ben Vermeulen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-04T12:56:07Z","doi":"10.3917/e.jie.045.0001","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1201/9781003732167","name":"Refinery Operational Excellence","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.21941/kcss/2025/2","name":"Agile Continuous Integration Testing of Embedded Software Systems with Digital Twin Prototypes","source":"crossref","abstract":"The demands of Industry 4.0 are fundamentally reshaping how embedded software systems are developed. Traditional approaches relying on Hardware-in-the-Loop testing are becoming increasingly complex and costly. This thesis addresses these challenges by formalizing a comprehensive digital twin concept that goes beyond mere simulations. The formal specification in Object-Z includes the physical twin, digital model, digital template, digital thread, digital shadow, the digital twin itself, and finally, the digital twin prototype. All concepts were validated in a 2020 real-world mission in the Baltic Sea as part of the ARCHES project, involving the development of an underwater network of ocean observation systems. At the core of this dissertation is the digital twin prototype, enabling a shift from Hardware-in-the-Loop to Software-in-the-Loop processes. This allows parallel development on the same embedded software, supported by automated integration tests in a continuous integration pipeline--even for serial communication protocols.","url":"https://doi.org/10.21941/kcss/2025/2","authors":["Alexander Barbie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-01T11:09:18Z","doi":"10.21941/kcss/2025/2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.70675/42398cb8z9a59z4ca9z8ad5z9cce79be5d17","name":"Network digital twin for edge-cloud continuum : Roles and requirements","source":"crossref","abstract":"Network digital twin pour le continuum edge-Cloud : Rôles et exigences Un Network Digital Twin collecte des données provenant de composants physiques, virtuels et logiciels et prend en charge l'analyse en temps réel des performances du réseau, l'émulation et le contrôle intelligent du réseau physique. Il répond principalement aux exigences et aux objectifs business des opérateurs et des fournisseurs de services. Cependant, les spécifications actuelles des Network Digital Twins de l'IETF, de l'ITU et des propositions académique négligent les exigences d'autres parties prenantes dans le continuum Edge-Cloud, notamment celles des fournisseurs de services. Il est nécessaire d'exploiter la flexibilité de l'architecture Network Digital Twin et d'intégrer de nouveaux modèles de données afin de contextualiser 1) les ressources dans les différents segments du continuum Edge-Cloud, à savoir Edge, Core et Cloud ; 2) les applications déployées dans les ressources ; et 3) le rendu des vues d'informations pour les utilisateurs ou les parties prenantes concernés. Récemment, la composition des applications utilisateur, réseau et cloud a été largement adoptée à l'aide d'une architecture de microservices. En général, les programmeurs d'applications se concentrent sur les fonctionnalités plutôt que sur le temps de réponse potentiel et l'impact du placement des microservices sur les ressources informatiques sous-jacentes. Chaque microservice consomme diverses ressources, a un impact sur les nœuds de calcul et doit être déployé sur des nœuds qui répondent à ses exigences. Par ailleurs, le continuum Edge-Cloud comprend des nœuds dont les performances sont dynamiques et qui présentent des limites en termes de prise en charge de la qualité de service requise. De plus, leur propriété entrave souvent une collaboration fluide. Les requêtes des utilisateurs peuvent connaître des temps de réponse plus longs si la passerelle d'interface de programmation d'application et les microservices associés sont éloignés de l'origine de l'utilisateur, ou si la chaîne de microservices est très distribuée à travers le continuum. Cela remet en question l'hypothèse courante selon laquelle les ressources Edge sont toujours le meilleur choix pour minimiser le temps de réponse. Il devient donc important de comprendre l'architecture de l'application, les interactions entre les microservices, de mesurer l'impact sur les ressources et d'organiser les microservices afin d'optimiser le temps de réponse global.Pour relever ces défis, cette thèse contribue tout d'abord à utiliser les capacités de simulation du Network Digital Twin et à développer un modèle pour un placement efficace des microservices dans le scénario Edge-Cloud Continuum. Ce modèle permet au fournisseur de services de saisir les paramètres souhaités liés à la distribution des ressources et au déploiement des microservices. Il permet au fournisseur de localiser la passerelle API dans un segment particulier, d'enchaîner les microservices dans un certain ordre et d'évaluer le temps de réponse afin d'agréger et d'organiser les microservices pertinents. Deuxièmement, cette thèse apporte une analyse par couches des segments dans le continuum Edge-Cloud. Elle propose ensuite un nouveau modèle de données qui conceptualise principalement les caractéristiques des nœuds et des microservices déployés, dans le but de rendre le Network Digital Twin sensible au contexte. Elle adopte une représentation ontologique pour les composants du cluster dans un segment et met en œuvre un modèle de données utilisable qui caractérise les données de performance et de consommation des nœuds. En résumé, les contributions de la thèse sont doubles : le placement des microservices dans le continuum Edge-Cloud et la promotion d'une modélisation précise pour étendre les capacités du Network Digital Twin.","url":"https://doi.org/10.70675/42398cb8z9a59z4ca9z8ad5z9cce79be5d17","authors":["Syed Mohsan Raza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T08:44:29Z","doi":"10.70675/42398cb8z9a59z4ca9z8ad5z9cce79be5d17","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.5220/0015002400004088","name":"A Certification-Oriented Cyber Range Based on a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015002400004088","authors":["Ahmed Bokri","Khaled Rahal","Arbia Riahi","Wim Mees"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-20T04:57:31Z","doi":"10.5220/0015002400004088","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.32782/tnv-tech.2024.4.10","name":"DIGITAL TWIN DATA STORAGE FOR INDUSTRIAL ROBOT KINEMATICS","source":"crossref","abstract":"In response to the increasing demand for efficient and automated production processes, Digital Twins have emerged as a vital tool for optimising industrial operations and preemptively identifying equipment issues. An important component of the Digital Twin is the storage of historical data on equipment operation. This research focuses on developing a universal database structure for storing position data of various industrial robots, including Cylindrical, SCARA, Articulated, and Cartesian/Gantry robots. The proposed database uses the Denavit-Hartenberg (DH) method, widely recognised for representing robot kinematics. Combining the Denavit-Hartenberg method with relational database technology provides a flexible and scalable solution for managing the diverse and complex data associated with robot configurations. This structure makes it possible to apply this development in industrial environments where robots with different degrees of freedom and different kinematic chains are used. The combination of the Denavit-Hartenberg method with relational database technology provides a flexible and scalable solution for managing diverse and complex data related to robot configurations. The database design supports the creation of Digital Twins for industrial robots, facilitating enhanced operational monitoring, predicting maintenance, identifying wear patterns, detecting abnormal behaviour and predicting potential equipment failures. This approach minimises downtime and extends the lifetime of robotic systems, which ultimately contributes to sustainable production and is in line with the concept of Industry 4.0. In this study, we present a database framework specifically for storing data on the position of equipment nodes. The created entities allow storing data on the position of each robot node. When the position of a node changes, only those Denavit- Hartenberg parameters that have changed are stored in the database. This allows you to optimise memory usage without losing the collected data. The database structure can be expanded by adding data from other sensors installed on the robot or other peripheral devices, or data generated by the Digital Twin. Further research will test the effectiveness of the database structure.","url":"https://doi.org/10.32782/tnv-tech.2024.4.10","authors":["Y. V. Palazhchenko","V. V. Shendryk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-05T14:51:52Z","doi":"10.32782/tnv-tech.2024.4.10","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.4804525","name":"Deep Learning-Based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4804525","authors":["Mehrdad Shafiei Dizaji","Devin Harris","Zahra Zhiyanpour","Aya Yehia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T14:47:29Z","doi":"10.2139/ssrn.4804525","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.4749394","name":"Semantic Digital Twin for Smart Building Energy Management Systems: Services-Oriented Framework and Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4749394","authors":["Zhiyu ZHENG","Esma Yahia","Elham Farazdaghi","Rani El Meouche","Fakhreddine Ababsa","Patrick Beguery"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-06T00:17:23Z","doi":"10.2139/ssrn.4749394","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.7490/f1000research.1119989.1","name":"Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling","source":"crossref","abstract":"","url":"https://doi.org/10.7490/f1000research.1119989.1","authors":["Xi Li","Jui-Hsuan Chang","Mythreye Venkatesan","Zhiping Paul Wang","Jason H. Moore"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T16:07:08Z","doi":"10.7490/f1000research.1119989.1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.36001/phme.2024.v8i1.3952","name":"Digital Twin Development for Feed Drive Systems Condition Monitoring and Maintenance Planning","source":"openalex","abstract":"Current Prognosis and health management (PHM) technology suffers from challenges such as data availability, system interoperability, scalability, and transferability. In previous years, the PHM field has advanced a lot, but very few studies have been presented in which these challenges are addressed, and hence, PHM solutions are still confined to the lab environment. Digital Twin technology has the potential to address these challenges altogether and can add significant value to the PHM field. This thesis aims to develop an implementable Digital Twin framework for feed drive systems' condition monitoring and maintenance optimization, targeting these prevalent PHM challenges. The proposed framework will employ multiple physics-based models to generate synthetic data for different system states, configurations, and applications, and utilize this data with the help of machine learning to overcome the PHM challenges. The successful address of these challenges will pave the foundation in the direction of generalization of PHM solutions and also enhance the trustworthiness and reliability of PHM solutions.","url":"https://doi.org/10.36001/phme.2024.v8i1.3952","authors":["Himanshu Gupta","Pradeep Kundu"],"tags":["Computer science","Process management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-27","doi":"10.36001/phme.2024.v8i1.3952","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1145/3705754.3705769","name":"The Application of Digital Twin Technology Empowered by 5G Networksand Big Data in Smart Campus","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3705754.3705769","authors":["Ming Tong","Peng Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-17T14:49:48Z","doi":"10.1145/3705754.3705769","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.48072/2525-7579.roge.2024.3803","name":"APCAB Twin OT: Digital Twin for simulation and economic optimization of the Cabiúnas Natural Gas Processing Plant","source":"crossref","abstract":"","url":"https://doi.org/10.48072/2525-7579.roge.2024.3803","authors":["Letícia Cotia dos Santos","Tayná Embiruçu Gonsalves de Souza","Leonardo Dorigo Ribeiro","Thamires Anelieze Leal Guedes","Antonioni Barros Campos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-19T00:59:51Z","doi":"10.48072/2525-7579.roge.2024.3803","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3389/fenrg.2024.1339836","name":"Advanced manufacturing and digital twin technology for nuclear energy*","source":"crossref","abstract":"Advanced manufacturing techniques and digital twin technology are rapidly transforming the nuclear industry, offering the potential to enhance productivity, safety, and cost-effectiveness. Customized parts are being produced using additive manufacturing, automation, and robotics, while digital twin technology enables the virtual modeling and optimization of complex systems. These advanced technologies can significantly improve operational efficiency, predict system behavior, and optimize maintenance schedules in the nuclear energy sector, leading to heightened safety and reduced downtime. However, the nuclear industry demands the highest levels of safety and security, as well as intricate manufacturing processes and operations. Thus, challenges such as data management and cybersecurity must be addressed to fully realize the potential of advanced manufacturing techniques and digital twin technology in the nuclear industry. This comprehensive review highlights the critical role of digital twin technology with advanced manufacturing toward nuclear energy to improve performance, minimize downtime, and heighten safety, ultimately contributing to the global energy mix by providing dependable and low-carbon electricity.","url":"https://doi.org/10.3389/fenrg.2024.1339836","authors":["Kunal Mondal","Oscar Martinez","Prashant Jain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-16T04:59:42Z","doi":"10.3389/fenrg.2024.1339836","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.4952242","name":"Comparative Study of Digital Twin Developed in Unity and Gazebo","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4952242","authors":["Maulshree Singh","Jayasekara Kapukotuwa","Eber  Lawrence Souza Gouveia","Evert Fuenmayor","Yuansong Qiao","Niall Murry","Declan  M. Devine"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:49:32Z","doi":"10.2139/ssrn.4952242","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3390/electronics13081419","name":"Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System","source":"crossref","abstract":"The use of a digital twin as an enabling technology for industry 4.0 provides control systems engineers with novel tools for modelling, designing, and controlling complex systems, providing a deep understanding of the physical asset based not only on its physics but also the real system’s response. It is particularly critical for uniformity temperature control applications, where providing a reasonable model of the system’s diffusion is always affected by the physical behavior of the system’s components required for heating, cooling, or power distribution. In this paper, a digital twin is used to represent a multivariable thermoelectric system employed for temperature uniformity distribution control with potential applications in semiconductor manufacturing. The modelling employs a five-step methodological framework consisting of the stages: target system definition, system description, multiphysics and data-driven simulation, behavioral matching, and implementation to represent the system’s temperature distribution accurately. The temperature distribution is measured using an infrared thermal camera to perform model behavioral matching on heating and cooling temperature uniformity applications. The obtained results indicated that using digital twins not only increases the accuracy of the system’s representation but can also provide the system with novel information that can be leveraged for the design and implementation of smart control systems.","url":"https://doi.org/10.3390/electronics13081419","authors":["Juan Gabriel Araque","Luis Angel","Jairo Viola","Yangquan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:08:50Z","doi":"10.3390/electronics13081419","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.4952765","name":"Towards Sustainable Ships: Advancing Energy Efficiency of Hvac Systems Onboard Through Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4952765","authors":["Giovanni Barone","Annamaria Buonomano","Gianluca Del Papa","Giovanni Francesco Giuzio","Adolfo Palombo","Giuseppe Russo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T21:17:56Z","doi":"10.2139/ssrn.4952765","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/noms59830.2024.10575680","name":"Towards a Partial Computation offloading in In-networking Computing-Assisted MEC: A Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/noms59830.2024.10575680","authors":["Ibrahim Aliyu","Awwal Arigi","Seungmin Oh","Tai-Won Um","Jinsul Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T17:23:51Z","doi":"10.1109/noms59830.2024.10575680","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3390/smartcities9020028","name":"Implementation Maturity Levels of Digital Twin Technology and Data Content Design for Flood Digital Twin","source":"crossref","abstract":"This study examines the potential of digital twin (DT) technology to strengthen urban security, with a specific focus on flood risk management in smart cities. A DT is understood as a virtual representation of real-world assets and processes, continuously synchronised with data from the physical environment. Building on an analysis of the existing DT literature and maturity assessment, identified operational requirements and the authors’ expertise in crisis management, this study proposes a structured set of DT maturity levels with stage boundary conditions and illustrative measurable indications and designs a maturity-driven data content model for a flood-oriented DT. The framework identifies essential data layers, sensing requirements and integration mechanisms necessary for representing hydrological, infrastructural and environmental conditions at operationally meaningful update frequencies. This study further outlines the conceptual architecture of a flood DT and discusses its potential to support prediction, situational awareness and decision making across crisis management phases. By providing recommendations for DT implementation and highlighting opportunities for future development, this study contributes to ongoing efforts to enhance the resilience and safety of urban areas through advanced digital technologies.","url":"https://doi.org/10.3390/smartcities9020028","authors":["Jozef Ristvej","Bronislava Halúsková","Karin Nováková","Daniel Chovanec"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-06T10:05:47Z","doi":"10.3390/smartcities9020028","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/aiim64537.2024.10934638","name":"Design of a Digital Twin System for Substations Based on Unity","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiim64537.2024.10934638","authors":["Rong Zheng","Bing Lu","Yuan Chang","Yi Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-27T02:21:14Z","doi":"10.1109/aiim64537.2024.10934638","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1002/9781118641156.ch1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781118641156.ch1","authors":["Oleg Golubchikov","Komali Yenneti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-05T21:30:46Z","doi":"10.1002/9781118641156.ch1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icct62411.2024.10946463","name":"Digital Twin Empowered Channel Prediction for Massive MIMO Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icct62411.2024.10946463","authors":["Zaichuan Zhang","Shuyan Hu","Sili Wu","Xin Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T17:06:09Z","doi":"10.1109/icct62411.2024.10946463","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2478/amns-2024-3462","name":"Flexible Manufacturing Line Design and Digital Twin Simulation for Sheet Metal Processing of Complex Parts","source":"crossref","abstract":"Abstract Traditional sheet metal processing enterprises are facing problems such as upgrading manufacturing systems, lower material utilization rate, and lower efficiency of CNC machining. In this paper, we design a flexible manufacturing production line for sheet metal processing of complex parts, use the DQN algorithm to optimize the scheduling of each part of the work in the production process of the production line, and optimize the adaptability of the DQN algorithm by using the action selection strategy and the reward function and so on. Then, the digital twin simulation system is constructed to simulate the process of a flexible manufacturing production line for sheet metal processing. The results show that the DQN algorithm can effectively assign the corresponding processing machines and processes to the workpieces in the production line, and the digital twin simulation system can also accurately simulate the actual situation of the production line. Meanwhile, it is found that the optimized production line can reach 87.52% of the production beat balance rate, which is 23.64% higher than the original production line balance rate, and it can improve the average utilization rate of the main operating units in the production line. The optimized production line proposed in this paper can effectively solve the practical problems in sheet metal production lines, improve the mobility of the production line and corporate efficiency, and provide new ideas for the lean production management of large-scale machinery manufacturing enterprises.","url":"https://doi.org/10.2478/amns-2024-3462","authors":["Chunhui Li","Haitao Ding","Junsheng Huang","Huiju Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-13T23:10:56Z","doi":"10.2478/amns-2024-3462","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.30534/ijatcse/2024/031322024","name":"An Exploratory view of Application of Digital Twin Technology in Education","source":"crossref","abstract":"Digital twins have gained significant attention and become a buzzword in recent years. The advancement of technologies such as the Internet of Things (IoT), artificial intelligence (AI), data analytics, and cloud computing has made it easier and more cost-effective to collect, analyze, and process vast amounts of data. This has enabled the creation and implementation of digital twins on a larger scale. Digital twins provide valuable insights and data- driven information to support decision-making. They enable organizations to simulate scenarios, test different strategies, and assess the impact of changes or interventions before implementing them in the physical world and thus help minimize risks and uncertainties associated with decision- making processes. Applications of Digital twins are not limited to specific industries or sectors. They have versatile applications across domains such as manufacturing, healthcare, transportation, smart cities, energy management etc. This broad applicability has contributed to the widespread interest and buzz around digital twins. The academic world has also not remained untouched with the advancement in this technology and efforts are on in the direction of designing Digital Twins for various aspects of education including supporting teaching, research, and administrative processes. As the technology continues to evolve, new and innovative applications are likely to emerge, transforming various aspects of teaching, learning, research, and administration in the academic sphere. In this study an effort is made to bring together the work carried out in the field of application of digital twins technology for teaching. Existing studies have been deliberated upon to analyze the progress and discover the prospects of bringing the digital teachers closer to human teachers. It can be inferred that as the technology continues to evolve, new and innovative applications are likely to emerge, transforming various aspects of teaching and learning in the academic sphere. It is also important to note that while digital twins of teachers hold potential benefits, their implementation and adoption in real-world educational settings are still developing. Ethical considerations such as data privacy, algorithmic bias, and the need for human involvement in teaching roles needs to be carefully addressed to ensure their effective and equitable use in education","url":"https://doi.org/10.30534/ijatcse/2024/031322024","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-11T13:19:41Z","doi":"10.30534/ijatcse/2024/031322024","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.24160/1993-6982-2024-6-38-47","name":"A Digital Twin Based System for Diagnosing and Controlling the Power-generating Boiler Unit State","source":"crossref","abstract":"","url":"https://doi.org/10.24160/1993-6982-2024-6-38-47","authors":["Evgeniy Boyko","Konstantin Lebedev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-09T08:18:36Z","doi":"10.24160/1993-6982-2024-6-38-47","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.4883196","name":"Deep Reinforcement Nelder-Mead Optimization for Hvac Digital Twin Model Performance","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4883196","authors":["Nuri Kim","Yoojeong Noh","Gyungmin Choi","Dong Jun Oh","Young-Jin Kang","Noma Park","Soonyong Choi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T16:01:47Z","doi":"10.2139/ssrn.4883196","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3389/fsci.2024.1376950","name":"Digital twin approach for the soil-plant-atmosphere continuum: think big, model small","source":"crossref","abstract":"","url":"https://doi.org/10.3389/fsci.2024.1376950","authors":["Yijian Zeng","Zhongbo Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-05T05:11:44Z","doi":"10.3389/fsci.2024.1376950","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/isgteurope62998.2024.10863095","name":"Toward a Digital Twin of the Dutch EHV Network: Analyzing Future Multi-Energy Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isgteurope62998.2024.10863095","authors":["Jonathan Aviles-Cedeno","Jose Rueda","Anouk de Roos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-11T18:19:23Z","doi":"10.1109/isgteurope62998.2024.10863095","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icaiic60209.2024.10463455","name":"Graph Neural Network for Digital Twin Network: A Conceptual Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiic60209.2024.10463455","authors":["Abubakar Isah","Hyeju Shin","Ibrahim Aliyu","Rashid Muhammad Sulaiman","Jinsul Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T18:12:10Z","doi":"10.1109/icaiic60209.2024.10463455","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00028-2","name":"Title page","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00028-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:47:09Z","doi":"10.1016/b978-0-443-30300-5.00028-2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.36227/techrxiv.174586666.63812881/v1","name":"Edge-Cloud Collaborative Calibration of Industrial Digital Twin Models","source":"crossref","abstract":"Digital twins are increasingly utilized to optimize industrial production processes, with the accuracy of these models being crucial for their successful implementation, particularly in predicting key process indices that are otherwise difficult to measure online. To maintain prediction accuracy, it is essential to calibrate the digital twin's computational model online using the most recent process data. However, traditional calibration methods, such as Kennedy and O'Hagan's approach, often lack scalability and are challenging to apply for the online calibration of large industrial models. To address this issue, we propose an edge-cloud collaborative model calibration framework. This framework offloads the model calibration task to the cloud, leveraging its computational and data resources, while utilizing edge-side industrial data to train a bias model for real-time compensation of the cloud-estimated model parameters. We also propose a synchronization mechanism between the cloud and the edge. Specifically, to tackle the challenges of edgeside data contamination and limited computational capacity, we introduce a positive information gain active learning algorithm for bias model training. This algorithm optimizes the selection of on-site industrial data by calculating the mutual information between the current model state and the industrial data. Results from simulations and an industrial digital twin case study of an electric magnesium furnace demonstrate the effectiveness of the proposed method. Additionally, the framework offers significant flexibility, as the parameter estimation, which primarily uses Gaussian process models, can be easily adapted to other statistical learning models.","url":"https://doi.org/10.36227/techrxiv.174586666.63812881/v1","authors":["Jinfeng Wu","Shaowen Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T14:57:47Z","doi":"10.36227/techrxiv.174586666.63812881/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/taee59541.2024.10604977","name":"Design, Characterization, Prototyping and Digital Twin of a Stewart Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/taee59541.2024.10604977","authors":["Alba Correal Olmo","Francisco J. Ríos Gómez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T17:33:10Z","doi":"10.1109/taee59541.2024.10604977","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iccc62479.2024.10681718","name":"Online Optimization of Edge Empowered Human Digital Twin Deployment and Task Offloading","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc62479.2024.10681718","authors":["Yuye Yang","You Shi","Ruoyang Chen","Changyan Yi","Jiawen Kang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T17:22:03Z","doi":"10.1109/iccc62479.2024.10681718","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1080/21693277.2024.2387679","name":"From building information modeling to construction digital twin: a conceptual framework","source":"openalex","abstract":"This article aims to investigate the transition from Building Information Modeling to Digital Twin (DT) technologies in building construction and facility management. The integration of BIM and DT has the potential to enhance decision-making, optimize performance, and improve sustainability throughout the building lifecycle. By conducting a review of the existing literature, this study identifies the current state-of-the-art, as well as key trends, challenges, and opportunities for research and industry 4.0 associated with the adoption and implementation of DT as an extension of BIM. In the Discussion section, issues and gaps for the transition from a static BIM model to a dynamic DT are presented, such as the lack of a framework and protocols for sensor connections. The conclusions will focus on the creation of a protocol for the correct transition of BIM models in the DT environment and the characterization of DT for the construction sector with real use cases.","url":"https://doi.org/10.1080/21693277.2024.2387679","authors":["Andrea Revolti","Luca Gualtieri","Pieter Pauwels","Patrick Dallasega"],"tags":["Computer science","Conceptual framework","Conceptual model","Construction engineering","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-11","doi":"10.1080/21693277.2024.2387679","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.18690/um.fov.4.2024.9","name":"Assessment Instrument of Technology Acceptance Amongst People with Minor Intellectual Disabilities","source":"crossref","abstract":"For people with moderate intellectual disabilities (PID) and their carers, eHealth is becoming increasingly important. However, there are no technology acceptance instruments known to determine what PID need to properly deploy eHealth. Therefore, we developed a technology acceptance assessment for PID. A design research approach is applied to develop a conceptual model based on the UTAUT2-model. Based on the outcomes of seventeen interviews with PID experts, two determinants (Public Financing &amp; Voluntariness of Use) and two moderators (Health Literacy &amp; Emotional State) are added to the conceptual model. The conceptual model is translated into a first assessment prototype using the Universal Design technique and Goegan et al's (2018) accommodating principles. The first tests that took place within this research confirm the applicability of the instrument and provides the first clues for the explanatory value of the conceptual model for the adoption of eHealth by PID.","url":"https://doi.org/10.18690/um.fov.4.2024.9","authors":["Mathijs Petrus Antonius van Dijk","Arjen Maris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.9","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.26689/ssr.v6i10.8437","name":"Analysis of Personal Privacy Leakage under the Background of Digital Twin","source":"crossref","abstract":"With the development and application of digital twin technology, the problem of privacy leakage is becoming increasingly prominent. Privacy leakage issues caused by data abuse and weak awareness have attracted high attention. In this regard, this paper analyzes the causes of privacy leakage in the digital twin, analyzes the difficulties of privacy protection under the background of the digital twin, and puts forward the “legal co-governance model.” Through multi-party cooperation, improving the system, and improving literacy, people can effectively protect private information, ensure the security application of technology, law, and ethics, and provide a guarantee for the sustainable development and social application of digital twin technology.","url":"https://doi.org/10.26689/ssr.v6i10.8437","authors":["Leyi Zhang","Jingguo Xue"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-07T01:17:38Z","doi":"10.26689/ssr.v6i10.8437","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1145/3708036.3708159","name":"Digital Twin: State-of-the-Art and Future Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3708036.3708159","authors":["Qianwen Xu","Jingchao Wang","Wei Gao","Shuangyin Ren","Zhongbo Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-21T09:52:08Z","doi":"10.1145/3708036.3708159","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.32657/10356/149984","name":"Towards greener, smarter and healthier office building management via cognitive digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/149984","authors":["Jie Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-08T15:50:35Z","doi":"10.32657/10356/149984","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.23889/suthesis.68811","name":"A digital twin of fusion energy components with physics-informed neural networks","source":"crossref","abstract":"A fusion reactor presents a highly challenging operational environment, with engineering components exposed to extreme conditions. Temperatures range from 100 million °C at the centre of the plasma to -269 °C in the cryopump, all within a few metres. In addition to these temperature extremes, components must withstand intense electromagnetic loads and irradiation damage. These extreme conditions were achieved for short periods at JET, formerly the world’s largest fusion device located at Culham Centre for Fusion Energy, UK, before it ceased operations. But one of the greatest engineering challenges of the 21st century will be to construct a machine that can operate under these extremes routinely and produce commercially viable energy. To create a fusion reactor, relevant components must undergo rigorous testing before they can be deployed. Initially, testing at the HIVE facility focused on the sample under test (SUT) under thermal loads alone. However, with the development of testing facilities such as CHIMERA, it will soon be possible to test the SUT under both thermal and magnetic loads. Given the challenges associated with testing, any additional information to understand these components would be extremely useful. This project investigates the potential for creating a foundational digital twin capable of replicating reality from sparse data inputs. A digital twin enables real-time monitoring, provides predictive insights, and supports decision-making to optimise experimental campaigns and ensure safety. In this context, the thesis investigates the suitability of physics-informed neural networks (PINNs) for solving inverse problems and extends their application to develop a foundational physics-informed digital twin platform for replicating physical experiments. PINNs are ideal for scenarios with limited data availability, as they do not require extensive pre-training. They provide a straightforward approach to solving inverse problems without complex algorithms, making them ideal for enhancing testing processes in experimental facilities. This study demonstrates that PINNs can accurately reconstruct thermal fields from sparse data and solve inverse problems with challenging boundary conditions (BCs). The developed PINN- based digital twin reconstructed steady-state temperature distributions of the HIVE sample under varying thermal loads, enabling detailed analysis of the temperature field and the corresponding thermal conductivity variation. These findings establish PINNs as a promising tool for inverse modelling with limited data.","url":"https://doi.org/10.23889/suthesis.68811","authors":["Prakhar Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-06T11:48:17Z","doi":"10.23889/suthesis.68811","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/979-8-8688-0811-1_12","name":"Crafting Metaverse Cities: Unveiling the Cutting-Edge Development Tools","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-0811-1_12","authors":["Xiangming Samuel Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-31T09:03:11Z","doi":"10.1007/979-8-8688-0811-1_12","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/meae62008.2024.11026502","name":"Review on Intelligent Control System of Aircraft Ground Dynamics Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/meae62008.2024.11026502","authors":["Jiyang Sun","Hongxin Wang","Yifan Shao","Shengjie Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T17:34:57Z","doi":"10.1109/meae62008.2024.11026502","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icecet61485.2024.10698251","name":"How the Convergence of Information Technology and Operational Technology Enables Digital Twin in Construction Industry: A Systematic Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet61485.2024.10698251","authors":["Amin Khoshkenar","Hala Nassereddine"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-08T17:33:15Z","doi":"10.1109/icecet61485.2024.10698251","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2196/preprints.63866","name":"Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation (Preprint)","source":"crossref","abstract":"BACKGROUND Human digital twins have the potential to change the practice of personalizing cognitive health diagnosis because these systems can integrate multiple sources of health information and influence into a unified model. Cognitive health is multifaceted, yet researchers and clinical professionals struggle to align diverse sources of information into a single model. OBJECTIVE This study aims to introduce a method called HDTwin, for unifying heterogeneous data using large language models. HDTwin is designed to predict cognitive diagnoses and offer explanations for its inferences. METHODS HDTwin integrates cognitive health data from multiple sources, including demographic, behavioral, ecological momentary assessment, &lt;i&gt;n&lt;/i&gt;-back test, speech, and baseline experimenter testing session markers. Data are converted into text prompts for a large language model. The system then combines these inputs with relevant external knowledge from scientific literature to construct a predictive model. The model’s performance is validated using data from 3 studies involving 124 participants, comparing its diagnostic accuracy with baseline machine learning classifiers. RESULTS HDTwin achieves a peak accuracy of 0.81 based on the automated selection of markers, significantly outperforming baseline classifiers. On average, HDTwin yielded accuracy=0.77, precision=0.88, recall=0.63, and Matthews correlation coefficient=0.57. In comparison, the baseline classifiers yielded average accuracy=0.65, precision=0.86, recall=0.35, and Matthews correlation coefficient=0.36. The experiments also reveal that HDTwin yields superior predictive accuracy when information sources are fused compared to single sources. HDTwin’s chatbot interface provides interactive dialogues, aiding in diagnosis interpretation and allowing further exploration of patient data. CONCLUSIONS HDTwin integrates diverse cognitive health data, enhancing the accuracy and explainability of cognitive diagnoses. This approach outperforms traditional models and provides an interface for navigating patient information. The approach shows promise for improving early detection and intervention strategies in cognitive health.","url":"https://doi.org/10.2196/preprints.63866","authors":["Gina Sprint","Maureen Schmitter-Edgecombe","Diane Cook"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-23T20:01:18Z","doi":"10.2196/preprints.63866","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.63282/3050-922x.ijeret-v5i1p104","name":"Digital Twin Technology for Integration and Optimization of Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.63282/3050-922x.ijeret-v5i1p104","authors":["Shashank Pasupuleti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-24T11:03:53Z","doi":"10.63282/3050-922x.ijeret-v5i1p104","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.32657/10356/205370","name":"DCWiz: toward an integrated cognitive digital twin for sustainable data centers","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/205370","authors":["Siew Chien Wong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-02T06:35:19Z","doi":"10.32657/10356/205370","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/b978-0-12-821631-6.20001-7","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.20001-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:13:00Z","doi":"10.1016/b978-0-12-821631-6.20001-7","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.jclepro.2023.140449","name":"Investigating the relationship between Lean Six Sigma performance strategy with digital twin modeling: Practices and factors","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2023.140449","authors":["Pratik Maheshwari","Yashoda Devi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-29T09:00:24Z","doi":"10.1016/j.jclepro.2023.140449","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1002/itl2.511","name":"Methods for aggregating multi‐source heterogeneous data in the\n                    <scp>IoT</scp>\n                    based on digital twin technology","source":"openalex","abstract":"Abstract The Internet of Things (IoT) technology can currently enable devices and systems in various fields to achieve interconnectivity, intelligence, and automation, which is significant for improving daily life. It connects objects through the Internet, achieving information exchange and sharing, bringing many conveniences to humanity, and improving the efficiency and quality of various industries. However, precisely because everything is interconnected, most IoT systems have high data throughput, which leads to issues such as reduced operational efficiency of IoT systems. Therefore, this article used digital twin (DT) technology to aggregate multi‐source heterogeneous data of the IoT, overcoming the problems of diversity and differences in massive data, and thus accelerating the system's data processing. Moreover, in the end of this article, an experiment was conducted on the IoT system of a certain university. Taking the system running 10 times as an example, the packet loss rate of the experimental group using DT technology was only 3.48%, while the packet loss rate of the control group running alone was 4.36%. This indicates that DT technology has improved the performance of the IoT system. This study highlights the role of digital twin technology in solving the low operational efficiency, diverse data, and data differences in data aggregation of the Internet of Things. It plays a significant role in improving the operational efficiency of the Internet of Things and improving the performance of the Internet of Things system.","url":"https://doi.org/10.1002/itl2.511","authors":["Min Li"],"tags":["Interconnectivity","Computer science","Internet of Things","Big data","Network packet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"10.1002/itl2.511","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.18690/um.fov.4.2024.39","name":"Generative AI in Assisting Patients with Syringomyelia and Hydrocephalus: A Preliminary Comparison of Chatgpt and Gemini","source":"crossref","abstract":"Patients have been relying on online resources for more information on their symptoms and diagnosis. Existing research has examined Generative AI (GenAI), mostly via ChatGPT as a way of providing more information or even comfort to patients. However, research is scarce on the appropriateness of GenAI to support and inform patients with rare conditions. These patients often find themselves in a difficult-to-navigate maze especially because they have never heard of their condition before the diagnosis and the information online can be overwhelming. In this pre-study, we demonstrate the potential of GenAI to provide support to patients concerning their diagnoses. We work with a patient who has two rare neurological conditions – syringomyelia and hydrocephalus. Utilizing a qualitative and quantitative methodology, including the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P) and the Flesch Kincaid Reading Ease (FRE) score, we analyzed the patient’s feedback to a series of prompts derived from their medical reports. The results demonstrate the potential of generative AI as a valuable support for patients, with preliminary findings indicating that Gemini excels in certain aspects such as understandability, actionability, readability, and is more trustworthy, making it an effective tool for patient education in this context.","url":"https://doi.org/10.18690/um.fov.4.2024.39","authors":["Pavlina Kröckel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.39","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1145/3679409.3679432","name":"Development of Digital Twin System for Milling Machine","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3679409.3679432","authors":["Xueguang Li","Fulin Yang","Dashun Zhang","Liqin Miao","Jing Wang","Di Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-13T15:54:01Z","doi":"10.1145/3679409.3679432","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iccsc62048.2024.10830447","name":"Indigenous IoT and Software Framework for Implementing Digital Twin Over Indian Region Towards Sustainable Development","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccsc62048.2024.10830447","authors":["Nikunj Agarwal","JaiG. Singla","Vijaypal Singh Dhaka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-15T14:35:04Z","doi":"10.1109/iccsc62048.2024.10830447","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/indin58382.2024.10774262","name":"Research on Generator Torque Fault Determination of Wind Turbines Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin58382.2024.10774262","authors":["Yanping Li","Xiaoqiang Peng","Yanni Kou","Kang Li","Qi Yao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:05:07Z","doi":"10.1109/indin58382.2024.10774262","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.ifacol.2024.11.009","name":"Towards a digital twin based monitoring tool for ventilated patients","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2024.11.009","authors":["Carlotta Hennigs","Julia Sauer","Alexander Bigalke","Tim Hardel","Niklas Carbon","Philipp Rostalski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T16:20:57Z","doi":"10.1016/j.ifacol.2024.11.009","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1108/jidt-10-2023-0029","name":"The convergence of Education 4.0 and Industry 4.0: a Twin Peaks model","source":"crossref","abstract":"Purpose This paper explores the convergence of Education 4.0 and Industry 4.0 and presents a Twin Peaks model for their seamless integration. Design/methodology/approach A high-level literature review is conducted to identify and discuss the important challenges and opportunities offered by both Education 4.0 and Industry 4.0. A novel Twin Peaks model is devised for the convergence of these domains and to cope with the challenges effectively. Findings The proposed Twin Peak model for the convergence of Education 4.0 and Industry 4.0 suggests that the development of these two domains is interdependent. It emphasizes ethical considerations, inclusivity and understanding the concerns of stakeholders from both education and industry. We have also explained how continuous incremental adaptation within the proposed Twin Peaks model might assist in addressing concerns of one sector with the opportunities of the other. Originality/value First, Education 4.0 and Industry 4.0 are reviewed in terms of opportunities and challenges they present. Second, a novel Twin Peaks model for the convergence of Education 4.0 and Industry 4.0 is presented. The proposed discovers that the convergence is adaptive, iterative and must be ethically sound while considering the broader societal implications of the digital transformation. Third, this study also acts as a torch-bearer for the necessity for more research of this kind to guarantee that our educational ecosystem is adaptable and capable of producing the skills required for success in the era of IR4.0.","url":"https://doi.org/10.1108/jidt-10-2023-0029","authors":["Ehsan Ahmad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-29T06:02:33Z","doi":"10.1108/jidt-10-2023-0029","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/telepresence63209.2024.10841549","name":"Metaverse for Safer Roadways: An Immersive Digital Twin Framework for Exploring Human-Autonomy Coexistence in Urban Transportation Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/telepresence63209.2024.10841549","authors":["Tanmay V. Samak","Chinmay V. Samak","Venkat N. Krovi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-22T18:47:05Z","doi":"10.1109/telepresence63209.2024.10841549","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1115/imece2024-145378","name":"Toward Digital Twin of the Design Process: An Attempt to Capture Design Rationale From Spoken Words","source":"crossref","abstract":"Abstract While the drawings and other related data are shared among design teams, design rationale, such as the reasons behind the determination of design, is rarely expressed in these data. Moreover, they are rarely described even in documents such as design reports because it is too time-consuming to describe design rationale while designing a product. However, to reuse the information captured from design processes in the future, design rationale is indispensable. Therefore, a tool to capture design rationales with low workload is required. This paper attempted an automatic extraction of design rationales from conversations while designing a product. This attempt aims to establish a digital twin of a design process. Like other digital twins, sensors are installed to design processes, which are cameras, microphones and smart-glasses to detect when design rationales are spoken. The proposed method to extract design rationale detects where the design rationale is spoken based on multiple clues, which are important words, behaviors and physiological reactions. To verify the proposed method, design experiments were conducted in a controlled environment, which are designed to let designers speak out design rationales. As a result, one of the tests showed that 81% of design rationales could be extracted while 48% of where design rationales were not spoken was also extracted.","url":"https://doi.org/10.1115/imece2024-145378","authors":["Kazuya Oizumi","Ryo Nakazawa","Yuya Oda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-23T12:45:09Z","doi":"10.1115/imece2024-145378","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1080/27525783.2025.2537180","name":"Research on key technologies and implementation of model integration in the aero-engine design chain","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2537180","authors":["Qinghua Zeng","Wei Deng","Hailiang Jin","Wei Li","Xue Wang","Wei Xiao","Ying He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-13T10:19:56Z","doi":"10.1080/27525783.2025.2537180","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.14209/sbrt.2024.1571033782","name":"Core HyperTwin: A Core Network Digital Twin Enabler","source":"crossref","abstract":"","url":"https://doi.org/10.14209/sbrt.2024.1571033782","authors":["Marcos Lima Romero","Diego Senese","Eduardo Leite","Jeferson Schiavinato","Danilo Tocantins Costa","Ricardo Suyama"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-14T20:39:37Z","doi":"10.14209/sbrt.2024.1571033782","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/oncon62778.2024.10931277","name":"Artificial Intelligence Meets Digital Twin: The AI Asset Administration Shell","source":"crossref","abstract":"","url":"https://doi.org/10.1109/oncon62778.2024.10931277","authors":["Mike Reichardt","Michael Gundall","Daniel Buch","Philip Stricker","Hans D. Schotten"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-26T06:47:05Z","doi":"10.1109/oncon62778.2024.10931277","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/cisat62382.2024.10695333","name":"Construction Of Smart Water Conservancy System Based On Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cisat62382.2024.10695333","authors":["Hui Li","Xuliang Duan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-02T18:16:05Z","doi":"10.1109/cisat62382.2024.10695333","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/cfpr61009.2024.10743022","name":"Practical Approaches for Digital Twin Representation of Protection and Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cfpr61009.2024.10743022","authors":["Yilin Zhao","Daniyal Qureshi","Suzana Arbana","Tim Chang","Mehrdad Chapariha","Jorge Velez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-08T18:36:03Z","doi":"10.1109/cfpr61009.2024.10743022","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ainit61980.2024.10581564","name":"Wind Turbine Blade Fault Diagnosis Method Based on Digital Twin and Convolutional Neural Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ainit61980.2024.10581564","authors":["Heping Guo","Yong Jiang","Dawen Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T17:39:22Z","doi":"10.1109/ainit61980.2024.10581564","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.procs.2024.09.340","name":"New technologies in the educational process on the example of FlexSim® software – the digital twin solution","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.09.340","authors":["Agnieszka Ubowska","Tomasz Królikowski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-28T17:45:58Z","doi":"10.1016/j.procs.2024.09.340","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/mipro60963.2024.10569396","name":"Digital Twin Coffee Room Application – Kahvibotti","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mipro60963.2024.10569396","authors":["P. Sillberg","J. Grönman","M. Saari","M. Nurminen","T. Jönkkari","P. Rantanen","P. Abrahamsson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-28T13:55:56Z","doi":"10.1109/mipro60963.2024.10569396","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iecon55916.2024.10905072","name":"On Vulnerability and Robustness Analysis of Railway Control System Using Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iecon55916.2024.10905072","authors":["Nozomu Okamura","Kenji Sawada","Motoyuki Ozaki","Shigeto Miyauchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-10T17:32:07Z","doi":"10.1109/iecon55916.2024.10905072","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.35833/mpce.2023.000351","name":"Digital Twin Empowered PV Power Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.35833/mpce.2023.000351","authors":["Xiaoyu Zhang","Yushuai Li","Tianyi Li","Yonghao Gui","Qiuye Sun","David Wenzhong Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-27T01:46:41Z","doi":"10.35833/mpce.2023.000351","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1007/978-3-030-81815-9_7","name":"Digital Twin Application","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-81815-9_7","authors":["Surjya Kanta Pal","Debasish Mishra","Arpan Pal","Samik Dutta","Debashish Chakravarty","Srikanta Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-12T12:05:18Z","doi":"10.1007/978-3-030-81815-9_7","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.5220/0013359700003896","name":"How to Leverage Digital Twin for System Design?","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013359700003896","authors":["Jean-Sébastien Sottet","Pierre Brimont","Cedric Pruski","Faima Abbasi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-03T09:49:17Z","doi":"10.5220/0013359700003896","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/gcwot63882.2024.10805657","name":"Quadratic Spline Interpolation for Extracting the Hidden Parameters of Photovoltaic Module in Digital Twin Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwot63882.2024.10805657","authors":["Muhmmad Adeel","Hadeed Ahmad Sher","Ahmad Kamal Hassan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-27T19:08:43Z","doi":"10.1109/gcwot63882.2024.10805657","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1021/acsomega.4c04530","name":"Digital Twin for\nCentrifugal Extractors Exemplified\nfor pDNA Clarification Process after Lysis","source":"crossref","abstract":"Abstract Plasmid DNA is an important substance for the pharmaceutical industry. A major challenge in its production is the clarification of the lysate after harvesting. In this work, a novel process for this is demonstrated in an annular centrifugal contactor (ACC) with an aqueous two-phase extraction. The ACC can increase the space-time yield of the clarification step by at least a factor of 2 compared to the horizontal continuous separator. A model for describing and predicting the conditions in the rotor is created for the ACC and calibrated with an accuracy of R2 = 0.94, which is sufficient for prediction in process design and operation. A digital twin (DT), which determines the purity of the phases at the outlet of the ACC, is calibrated with an accuracy of 95% for the light phase and 97% for the heavy phase, which defines in manufacturing operation the safety margin for both phases below the theoretical optimal operation point. By using the DT, an additional increase in productivity of 25% can be achieved in the ACC with model-predictive control.","url":"https://doi.org/10.1021/acsomega.4c04530","authors":["Alexander Uhl","Axel Schmidt","Jochen Strube"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-05T01:00:06Z","doi":"10.1021/acsomega.4c04530","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.18174/643046","name":"Monitoring chlorate through sensor data fusion : a digital twin for electrochlorinators","source":"crossref","abstract":"","url":"https://doi.org/10.18174/643046","authors":["Edwin Anton Ross"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-24T09:15:08Z","doi":"10.18174/643046","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/978-3-031-21343-4","name":"The Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T08:52:28Z","doi":"10.1007/978-3-031-21343-4","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.infsof.2024.107424","name":"Stakeholders collaborations, challenges and emerging concepts in digital twin ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.infsof.2024.107424","authors":["Nirnaya Tripathi","Heidi Hietala","Yueqiang Xu","Reshani Liyanage"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-14T00:24:45Z","doi":"10.1016/j.infsof.2024.107424","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ocit65031.2024.00084","name":"Utilizing Digital Twin-Enhanced Spatio-Temporal CNN for Accurate Breast Cancer Tumor Detection and Migration Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ocit65031.2024.00084","authors":["Karthiga M","Revathy J","Sureshraja Ramar","Sankarananth S"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-29T17:29:52Z","doi":"10.1109/ocit65031.2024.00084","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/b978-0-443-15988-6.00008-x","name":"Enabling trustworthiness in human-swarm systems through a digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15988-6.00008-x","authors":["Mohammad D. Soorati","Mohammad Naiseh","William Hunt","Katie Parnell","Jediah Clark","Sarvapali D. Ramchurn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-23T09:44:50Z","doi":"10.1016/b978-0-443-15988-6.00008-x","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/remar61031.2024.10619932","name":"Sensor Fusion-Based Parameterized Curve-Driven Modeling for Digital Twin of Reconfigurable Soft Robot","source":"crossref","abstract":"","url":"https://doi.org/10.1109/remar61031.2024.10619932","authors":["Zhongyuan Liao","Wanzhen Wei","Leihan Zhang","Yi Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-13T17:19:26Z","doi":"10.1109/remar61031.2024.10619932","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.20944/preprints202211.0429.v1","name":"A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)","source":"openalex","abstract":"The paper analyses the national DK-model Hydrological Information and Prediction (HIP) system and HIP portal viewed as a &amp;lsquo;Digital Twin&amp;rsquo; and how the introduction of real-time dynamic updating of the DK-model HIP simulations can give room for plug-in sub-models with real-time boundary conditions made available from a HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges have been addressed as part of the Joint Governmental Digitalization Strategy 2016-2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terra-byte of hydrological model data to the portal with robust calibration methods and hybrid Machine Learning (ML) being key parts of the deliverables. The paper discusses the challenges and potentials of further developing the HIP Digital Twin with &amp;lsquo;plug-in Digital Twins&amp;rsquo; for local river basins including feedback to the national level.","url":"https://doi.org/10.20944/preprints202211.0429.v1","authors":["Hans Jørgen Henriksen","Raphael Schneider","Julian Koch","Maria Ondracek","Lars Troldborg","Ida K. Seidenfaden","Søren Julsgaard Kragh","Eva Bøgh","Simon Stisen","Ida Karlsson Seidenfaden"],"tags":["Climate change","Digital elevation model","Climate model","Environmental science","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-23","doi":"10.20944/preprints202211.0429.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1145/3748699.3749778","name":"Human Digital Twin for Healthcare Applications: a White Label Digital Twin Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3748699.3749778","authors":["Leonardo Micelli","Sara Montagna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-10T07:01:29Z","doi":"10.1145/3748699.3749778","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/etfa61755.2024.10711105","name":"Cold-Start and Data Sparsity Problems in a Digital Twin Based Recommendation System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa61755.2024.10711105","authors":["Flávia Pires","António Paulo Moreira","Paulo Leitao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-16T17:51:22Z","doi":"10.1109/etfa61755.2024.10711105","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/imcec59810.2024.10575808","name":"Key Technologies Study on Digital Twin Platform for Comprehensive Utility Tunnel","source":"crossref","abstract":"","url":"https://doi.org/10.1109/imcec59810.2024.10575808","authors":["Hailiang Lu","Hao Yu","Shuyan Yan","Silian Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T17:24:06Z","doi":"10.1109/imcec59810.2024.10575808","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.12688/digitaltwin.17732.1","name":"Digital twin and contact analysis of ultra-long distance coiled tubing operation structures","source":"crossref","abstract":"Background: Coiled tubing operation is a high-quality operation method that considers both cost and efficiency in current oil and gas well operations. There is a significant difference between the calculation and prediction before operation and the actual operation. The reason is that the complex wellbore trajectory makes it difficult to evaluate the contact state between coiled tubing and wellbore, resulting in a significant error in the pipe string mechanics calculation and analysis. Methods: Aiming at the contact problem between coiled tubing and wellbore in the process of coiled tubing operation, the digital twin unit of coiled tubing and wellbore is established in this study. By constructing a feedback correction collision contact algorithm, the contact state of coiled tubing and casing under different three-dimensional trajectory models was simulated. Results: The research results show that the digital twin coiled tubing and contact algorithm can effectively predict the contact state of coiled tubing operations; the verification model shows that the contact algorithm can accurately analyze the contact state of different well trajectories. Conclusions: The digital twin of the coiled tubing operation structure and its contact algorithm can effectively solve the problem of deterministic friction state in the process of mechanical calculation of the tubing string, which has important guiding significance and engineering value for the mechanical calculation and operation safety analysis of coiled tubing operation.","url":"https://doi.org/10.12688/digitaltwin.17732.1","authors":["Wenlan Wei","Hao Qu","Jiarui Cheng","Wenyuan Wang","Maliang Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-05T11:55:34Z","doi":"10.12688/digitaltwin.17732.1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/iccworkshops63917.2026.11586519","name":"{ farm-twin }: an Open Farm-Scale Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops63917.2026.11586519","authors":["Matthew Broadbent","Ross S. Muers","Mazdak Salavati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T20:00:48Z","doi":"10.1109/iccworkshops63917.2026.11586519","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.4018/979-8-3373-7785-8.ch002","name":"Adaptive AI-Driven Digital Twin Frameworks for Autonomous Vehicles","source":"crossref","abstract":"Artificial Intelligence (AI) and Machine Learning (ML) are transforming Digital Twin (DT) technology into a real-time, intelligent ecosystem for Autonomous Vehicles (AVs). This chapter explores how AI-driven DT frameworks integrate sensor fusion, reinforcement learning, and edge-cloud collaboration to achieve continuous synchronization between physical and virtual systems. These smart twins enable predictive maintenance, adaptive decision-making, and safety validation with minimal latency. Industrial examples such as Tesla's Predictive Maintenance Twin and Audi's Virtual Prototyping Platform demonstrate practical implementations that enhance reliability, design accuracy, and efficiency. The chapter also discusses challenges in scalability, interoperability, and ethical governance, while highlighting emerging directions like quantum and federated learning. By combining intelligence, automation, and ethical design, AI-empowered Digital Twins form the foundation of next-generation, self-evolving, and resilient autonomous mobility systems.","url":"https://doi.org/10.4018/979-8-3373-7785-8.ch002","authors":["Dilmurod Turaev","Ravikumar Natarajan","Aarthi Selvakumar","Anorgul Ashirova","Khayrulla Urozboev","Sharvanthika K. S."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T15:49:29Z","doi":"10.4018/979-8-3373-7785-8.ch002","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.20944/preprints202312.0893.v1","name":"Characterizing the Digital Twin in Structural Mechanics","source":"crossref","abstract":"The Digital Twin is one of the big technology trends of the last decade. In the course of its rapid expansion into the various fields of application, many different definitions emerged, tailored to the respective applications. Taxonomies can cluster the diversity and define application-specific archetypes. This paper presents a characterization of the Digital Twin in the context of structural mechanics and lightweight design. It begins by exploring various definitions of the Digital Twin concept and its application in different industries. The paper further analyzes the product life cycle of structures, dividing it into the design and operational phases and identifying the requirements for a Digital Twin in each phase. The structural design process is examined, including the definition of a structure and the stages of the product development process. Additionally, the paper discusses the operational phase of structures, highlighting the need for continuous monitoring, evaluation, and adaptation through Structural Health Monitoring (SHM) systems. The paper proposes two archetypes of Digital Twins for structures: a structure-designing Digital Twin for the design phase and a structure-monitoring Digital Twin for the operational phase. The findings provide a framework for implementing Digital Twins in structural mechanics, enabling digital design and monitoring of structures for improved performance and maintenance strategies.","url":"https://doi.org/10.20944/preprints202312.0893.v1","authors":["Rebecca Richstein","Kai-Uwe Schröder"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-15T01:19:27Z","doi":"10.20944/preprints202312.0893.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.70675/9d72118ez7ab4z4fd6z89ccz26ef201fce26","name":"Digital Twin in Structural Health Monitoring for Aerospace using Machine Learning","source":"crossref","abstract":"Jumeau numérique pour le SHM pour l'aérospatial par apprentissage Les systèmes industriels modernes utilisent souvent une combinaison de matériaux tels que les métaux, le béton et les composites, soigneusement optimisés pour obtenir des performances supérieures tout en minimisant les coûts. Les structures sont principalement soumises à des charges dynamiques pendant leur durée de vie. Les problèmes de fabrication et/ou les sollicitations perpétuelles entraînent souvent des changements dans un système qui ont un impact négatif sur ses performances actuelles et/ou futures; ces changements peuvent être définis comme des dommages. L'identification des dommages est un processus crucial qui garantit le bon fonctionnement des équipements ou des structures tout au long de leur cycle de vie. Elle alerte le service de maintenance pour qu'il prenne les mesures nécessaires à la réparation. Le Structural Health Monitoring (SHM) est une technique potentielle d'identification des dommages qui a attiré plus d'attention au cours des dernières décennies. Elle permet de surmonter les inconvénients des méthodes traditionnelles de contrôle non destructif. Dans cette thèse, nous avons utilisé la technique des ondes guidées ultrasoniques (GW) pour le SHM. La sensibilité des ondes guidées aux conditions environnementales et opérationnelles (EOC) modifie les signaux de réponse et peut masquer les signatures de défauts. Il est donc difficile d'isoler les signatures de défauts à l'aide de méthodes telles que la comparaison à une référence, qui consiste à comparer des signaux GW sans dommages avec les acquisitions actuelles. Les méthodes sans état de référence peuvent constituer une alternative, mais elles sont limitées à des géométries simples. En outre, la grande sensibilité des ondes guidées aux variations des EOC et au bruit de mesure constitue un défi pour la modélisation des ondes guidées. Les récentes avancées en matière d'apprentissage automatique ont créé de nouveaux axes de modélisation, notamment la modélisation basée sur les données et la modélisation basée sur la physique, souvent désignée sous le nom d'apprentissage automatique scientifique. La modélisation basée sur les données est extrêmement utile pour modéliser les phénomènes qui ne peuvent être expliqués par la physique, ce qui permet d'isoler les signatures de défauts subtils et de développer des procédures robustes de détection des dommages. Toutefois, les méthodes de ML basées sur la modélisation nécessitent davantage de données pour capturer toutes les informations permettant d'améliorer la capacité de généralisation des modèles ML. Le SHM, quant à lui, tend à générer des données généralement exemptes de dommages, car les épisodes de dommages sont rares. Cette lacune particulière peut être comblée par une modélisation basée sur la physique. Dans cette approche, les capacités de modélisation physique sont combinées avec des données de mesure pour expliquer des phénomènes inexplicables à l'aide de la modélisation physique. L'objectif principal est de développer une méthodologie de détection des défauts dans les panneaux composites. Cette méthodologie est conçue pour surveiller des structures similaires, telles que des pales d'éoliennes ou de turbines à réaction, sans exiger des états sans dommages de toutes les structures, évitant ainsi le besoin de comparaisons directes à un état de référence. Le deuxième objectif est de développer un modèle de ML basé sur la physique pour intégrer des simulations avec des données expérimentales. Le développement de ce modèle implique une modélisation multi-fidélité et métamodélisation. Pour valider ce modèle, nous utilisons un ensemble de données expérimentales et de simulation sur une plaque en aluminium. En outre, le modèle développé est utilisé pour générer des réponses GW réalistes à la taille de l'endommagement et à la position des capteurs. Ces signaux générés sont ensuite utilisés pour calculer une courbe de probabilité de détection (POD), a","url":"https://doi.org/10.70675/9d72118ez7ab4z4fd6z89ccz26ef201fce26","authors":["Vivek Nerlikar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T10:37:21Z","doi":"10.70675/9d72118ez7ab4z4fd6z89ccz26ef201fce26","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/meae62008.2024.11026376","name":"Lifetime Prediction Method for Space Agencies by Combining Digital Twin and TimeGAN","source":"crossref","abstract":"","url":"https://doi.org/10.1109/meae62008.2024.11026376","authors":["Tingting Zhang","Lilan Liu","Yan-Ning Sun","Zenggui Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T17:34:57Z","doi":"10.1109/meae62008.2024.11026376","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1002/9781394303601.ch9","name":"Blockchain for Internet of Things and Machine Learning‐Based Automated Sectors","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303601.ch9","authors":["Amit Kumar Tyagi","Shabnam Kumari","Shrikant Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-13T21:20:12Z","doi":"10.1002/9781394303601.ch9","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.seta.2024.103650","name":"A hybrid evolutionary and machine learning approach for smart city planning: Digital twin approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.seta.2024.103650","authors":["Chongxing Ji","Yi Niu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-19T07:10:00Z","doi":"10.1016/j.seta.2024.103650","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.jpowsour.2024.234464","name":"Driving sustainability - The role of digital twin in enhancing battery performance for electric vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jpowsour.2024.234464","authors":["P.K. Rajesh","T. Soundarya","K.V. Jithin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-08T10:20:08Z","doi":"10.1016/j.jpowsour.2024.234464","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.7316318","name":"Digital Twin Guided Safe Remediation for Autonomous Cloud Infrastructure","source":"crossref","abstract":"The use of cloud infrastructure has also taken a more sophisticated twist in modern times with enterprises, energy systems, transportation systems, telecommunication systems and other infrastructures being reliant on cloud services which are highly available. Nonetheless, traditional methods of cloud monitoring and remediation are still largely reliant on canned rules, reactiveness, annualizations, and lack of insight into future infrastructure conditions. Such limitations have the ability to slow down the response to failure and augment operational risks. A potential solution to this problem is the Digital Twin technology that offers a virtual representation of physical and digital infrastructures that will constantly mirror and report on the conditions of operations and assist in simulation, prediction, risk management, and decision-making. Simultaneously, AI-powered self-healing cloud platforms are able to identify anomalies, forecast failures, identify recovery plans, implement corrective measures, and confirm recovery. This paper is a critical analysis of how Digital Twin guided remediation can enhance cloud infrastructure safety and reliability, resiliency, and autonomy. A comparative analysis, systematic literature review, and thematic synthesis were performed on Digital Twins, artificial intelligence, self-healing systems, cloud and edge computing, cybersecurity and autonomous infrastructure research. The results have shown that Digital Twins increase the visibility of infrastructure, and constant monitoring, whereas AI and machine learning enhance predictive fault detection and forecasting failures (Desai, 2025; Kumar, 2025). The simulation with Digital Twins allows a risk-free testing of remediation measures prior to their implementation in operations as well, which may allow the time of recovery to be shortened, as well as the workload on human operators to decrease (Adepu, 2024; Muthusamy, 2025). Using Digital Twins with AI sets up a continuous feedback loop between monitoring, prediction, decision-making, remediation, and validation (Kampourakis et al., 2025; Saxena and Singh, 2025). However, security on the internet, accuracy of the models, quality of data, computational resources, interoperability, and unsafe autonomous behaviors are also major concerns (Mun et al., 2025; Yu et al., 2023). The research comes up with a conclusion that safe remediation must look at the risks of activities proposed to be implemented, and then the measures can be followed accordingly. Digital Twin-guided safe remediation thus is a significant direction to resilient autonomous cloud infrastructure, as long as explainable AI, risk-conscious policies, human control, cybersecurity measures, ongoing validation and solid governance are integrated.","url":"https://doi.org/10.2139/ssrn.7316318","authors":["Sai Santhosh Tummalapalli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T08:48:58Z","doi":"10.2139/ssrn.7316318","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.7717/peerj-cs.3574/fig-3","name":"Figure 3: Predictive traffic control workflow integrating GRU, digital twin, and edge control logic.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3574/fig-3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-26T08:50:23Z","doi":"10.7717/peerj-cs.3574/fig-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.5220/0015171200004088","name":"An AI-Driven Digital Twin Framework for Personalized COPD Treatment Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015171200004088","authors":["Hamid Mcheick","Pamela Achouh","Hassan Hajjdiab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-20T04:51:16Z","doi":"10.5220/0015171200004088","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.62306/asscstdtt","name":"Advancing Smart Supply Chain Security Through Digital Twin Technology","source":"crossref","abstract":"In the global context of combating COVID-19, the complexity and demands associated with supply chain security have significantly intensified. Moving forward, the innovation and advancement of supply chain security will increasingly reflect the evolving requirements of global economic activities. The integration of digital twin technology promises to usher in a new era of intelligent supply chain security. This technology facilitates the complete digital representation of supply chain security by leveraging advancements in technology, centralized information management, and standardized rule formulation. Unlike the physical world, the virtual realm created by digital twins operates without the constraints of spatial distance, where distance serves merely as a reference rather than a barrier influenced by time zones. The virtual environment, being a folded space, allows for real-time observation and control interventions regardless of the physical separation between points A and B, provided digital twin technology is employed. Consequently, future smart supply chain security should be represented and validated through digital simulation models grounded in digital twin technology.","url":"https://doi.org/10.62306/asscstdtt","authors":["Xuexue Zhang","Dongran Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T11:36:19Z","doi":"10.62306/asscstdtt","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.55938/wlp.v2i7.317","name":"Digital Twin Architecture for Plants","source":"crossref","abstract":"Digital Twin (DT) is an emerging technology, which has been hyped as among the revolutions of the agriculture system and plant science over the recent years. Having a dynamic virtual image of a physical plant system, the digital twins facilitate real-time monitoring and simulation and optimization of the plant growth and interactions with the environment. It is precisely with reference to this chapter that architecture of the digital twins of plants is explored with particular focus on core elements of the latter that comprise physical, virtual, and data connection. It also deals with information collection pipelines, which comprise of sensors, IoT devices, imaging cameras, and environmental sensors that ensure that data collection between the physical and the digital world are continual. This is analysed on real time synchronization, approach of dealing with data, and cloud infrastructures that allow such systems to be scaling up. The other important problems in the chapter are the ones regarding interoperability, standardization and computational constraints. In aggregate, this combination provides a comprehensive foundation of the usage of the digital twin architecture in transforming precision agriculture and modelling of plant systems.","url":"https://doi.org/10.55938/wlp.v2i7.317","authors":["Utkarsh Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-06T09:33:42Z","doi":"10.55938/wlp.v2i7.317","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1061/9780784485224.041","name":"Heuristic Optimization for Digital Twin Modeling of Existing Bridges from Point Cloud Data by Parametric Prototype Models","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485224.041","authors":["M. Saeed Mafipour","Simon Vilgertshofer","André Borrmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-05T10:56:56Z","doi":"10.1061/9780784485224.041","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ispsd59661.2024.10579562","name":"Digital Twin-Based Lifetime Estimation of SiC Power Modules","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispsd59661.2024.10579562","authors":["Anu Mathew","Sven Rzepka","Patrick Heimler","Dong Xie","Mohamed Alaluss","Thomas Basler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-09T17:30:14Z","doi":"10.1109/ispsd59661.2024.10579562","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icit58233.2024.10540997","name":"BIM and Digital Twin for Electrical Systems: A Case Study of an Industrial Building","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icit58233.2024.10540997","authors":["Paolo Di Leo","Matteo Del Giudice","Andrea Fratto","Anna Osello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-05T17:38:41Z","doi":"10.1109/icit58233.2024.10540997","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.energy.2024.133384","name":"Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.energy.2024.133384","authors":["Yiming Ye","Bin Xu","Hanchen Wang","Jiangfeng Zhang","Benjamin Lawler","Beshah Ayalew"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-10T02:06:25Z","doi":"10.1016/j.energy.2024.133384","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/picom64201.2024.00017","name":"Enhancing Robotic Systems Through a Distributed Multi-Agent Digital Twin Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/picom64201.2024.00017","authors":["Giovanni Campo","Miriana Russo","Corrado Santoro","Federico Fausto Santoro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-19T19:16:56Z","doi":"10.1109/picom64201.2024.00017","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iccc62479.2024.10681939","name":"Secure and Privacy-Preserving Group Management Scheme for Vehicular Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc62479.2024.10681939","authors":["Chengzhe Lai","Jinshuo Tan","Guanjie Li","Dong Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T17:22:03Z","doi":"10.1109/iccc62479.2024.10681939","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ccsb63463.2024.10735491","name":"An Empirical Study on the Digital Twin System of Intelligent Production Line","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccsb63463.2024.10735491","authors":["Xiuli Zhu","Chengwei Li","Junjie Mai","Junsong Yang","Ziyang Kuang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-04T18:32:14Z","doi":"10.1109/ccsb63463.2024.10735491","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/aero55745.2023.10115665","name":"Digital Twin for Spacecraft Concepts","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero55745.2023.10115665","authors":["Rob Stevens"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-15T17:50:05Z","doi":"10.1109/aero55745.2023.10115665","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.63028/10067/2105580151162165141","name":"A digital twin approach to support the evolution of cyber-physical systems","source":"crossref","abstract":"Computer modeling and simulation is found in many industrial applications, for example there exist CAD models, finite element simulations of mechanical parts, simulations of chemical plants, models of remaining life prediction and many more. Those models and simulations are used both in the design of systems, and during their operations. Furthermore, during a system's operation, data is collected and stored at a large scale, this is a result of what is commonly called the fourth industrial revolution, or industry 4.0. This revolution is that of computer automation and large scale data exchange, seen in the manufacturing industry of the 21st century. These computer models, and the widespread collection of data gave rise to the concept of a digital twin. A digital twin is a virtual representation or a mirroring of a real-world system. Data is continually collected from that real-world system, and fed back to the digital twin such that it contains the most up-to-date model of the system it mirrors. In exchange, a digital twin offers its users a variety of helpful services based on its models and large collection of data, examples of such services are historical data replay, virtual testing, virtual commissioning and optimization. Despite stemming from the manufacturing field, digital twins find applications in many more domains such as healthcare, geophysical processes and construction engineering. A key aspect in all digital twins is that of evolution, and this in two different ways. The first way deals with the mirroring of the real-world system. When that real-world system evolves, for example, because components are replaced or because it ages and shows signs of wear and tear, the models in the digital twin should reflect that evolution. The second way deals with the evolution of the services in the twin itself. Like any other software system, the purpose and requirements of the digital twin can evolve over time. In this thesis the focus is on a subset of issues encountered in these two types of digital twin evolution. It provides reusable techniques that aid digital twin developers with handling the evolution of their digital twin. The first part of this thesis tackles the digital twin evolution driven by requirements/purpose changes of the digital twin itself. Here, the challenge is interweaving new software components of the digital twin with the existing components, and solving their conflicting interactions. To this end, we developed a notation and a set of common transformation templates that occur during a twin's evolution. This notation allows twin developers to visualize and reason about the impact the evolution has on the digital twin. The second part tackles the digital twin evolution driven by changes in the real-world system. The main issue we identify is how to handle divergences between the real-world system and the twin as the real-world system ages over its lifetime. It is important, since the accuracy of the twin's services depends on the agreement between the model and the real-world system's behavior. To this end, we drew inspiration from model verification and validation techniques to provide a method that detects deviations between a digital twin's model and a real-world system. We additionally applied state-of-the-art classification methods to further pinpoint the cause of the divergence as to ease the model updating process. Combining those two techniques we demonstrate a workflow that incorporates them for the continuous detection of system variations during a software release cycle to provide accurate testing results when the digital twin is used for virtual testing purposes. Supporting these two parts, we developed a domain specific language for defining model validation experiments and a gantry crane twin system. The domain specific language allows non-domain experts to define and execute model validation experiments without requiring knowledge of model simulation. The gantry crane twin system cons","url":"https://doi.org/10.63028/10067/2105580151162165141","authors":["Joost Mertens"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-09T08:15:38Z","doi":"10.63028/10067/2105580151162165141","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00013-5","name":"Title page","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00013-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:26:03Z","doi":"10.1016/b978-0-443-14070-9.00013-5","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5208153","name":"Real-Time Health Supply Chain Optimization Using Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5208153","authors":["Sameer Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-09T19:19:57Z","doi":"10.2139/ssrn.5208153","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-57534-1_3","name":"Edge-Assisted Connectivity Framework for HDT","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-57534-1_3","authors":["Samuel D. Okegbile","Jun Cai","Changyan Yi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T03:38:27Z","doi":"10.1007/978-3-031-57534-1_3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.optlaseng.2023.107878","name":"Single-shot experimental-numerical twin-image removal in lensless digital holographic microscopy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.optlaseng.2023.107878","authors":["Piotr Arcab","Mikołaj Rogalski","Maciej Trusiak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-07T05:56:28Z","doi":"10.1016/j.optlaseng.2023.107878","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.autcon.2024.105480","name":"Applications and challenges of digital twin intelligent sensing technologies for asphalt pavements","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2024.105480","authors":["Xingwang Wang","Yuqing Zhang","Hui Li","Chonghui Wang","Ponan Feng"],"tags":["Asphalt","Engineering","Asphalt pavement","Forensic engineering","Civil engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-23","doi":"10.1016/j.autcon.2024.105480","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.54014/8pw8-z3g6","name":"Neural Network Based Digital Twin For A Half-Bridge Llc Resonant Converter","source":"crossref","abstract":"","url":"https://doi.org/10.54014/8pw8-z3g6","authors":["Nicholas Green"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-28T21:07:47Z","doi":"10.54014/8pw8-z3g6","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.procir.2024.06.028","name":"Digital Twin as A New Approach to Data Management: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.06.028","authors":["Mohammed Malaibari","Mustafa Siddiqui","Sijia Xie","Bahador Bahramimianrood","Shiva Abdoli","Luke Djukic"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T11:57:10Z","doi":"10.1016/j.procir.2024.06.028","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/swc62898.2024.00308","name":"Smart DCU Digital Twin: Towards Autism-Friendly Universities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00308","authors":["Jaime B. Fernandez","Iryna Osadcha","Andrius Jurelionis","Kieran Mahon","Noel E. O’Connor","Muhammad Intizar Ali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00308","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/haptics59260.2024.10520841","name":"Digital Twin-empowered Model-Mediated Teleoperation using Multimodality Data with Signed Distance Fields","source":"crossref","abstract":"","url":"https://doi.org/10.1109/haptics59260.2024.10520841","authors":["Mads Antonsen","Siwen Liu","Xiao Xu","Eckehard Steinbach","Francesco Chinello","Qi Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-10T17:22:08Z","doi":"10.1109/haptics59260.2024.10520841","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1145/3631319.3632301","name":"Using Middleware and Digital Twin to Enable Agronomic Produce Tracking on Mobile Devices","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3631319.3632301","authors":["Richard Lomotey","Sandra Kumi","Ralph Deters","Maxwell Hilton","Charlie Snow"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-04T19:22:27Z","doi":"10.1145/3631319.3632301","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/9781394390205.ch13","name":"Digital Twin‐Enabled Solar Concentrators","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.ch13","authors":["Laxman Singh Rana","Lakhan Singh","Surabhi Chauhan","Kundan Singh","Deepak Singh Karki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.ch13","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/9781394411320.ch2","name":"Smart City Development in 6G Era","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch2","authors":["Raj Kishor VERMA","Ahmed A. ELNGAR"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.5220/0011277800003274","name":"The FischerTwin: An Experimentable Digital Twin Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0011277800003274","authors":["Alexander Atanasyan","Felix Casser","Arthur Wahl","Juergen Rossmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-16T17:32:12Z","doi":"10.5220/0011277800003274","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.5194/egusphere-egu25-15018","name":"River-System Digital Twin for Flood Hazard Mapping","source":"crossref","abstract":"Flooding is one of the most destructive natural disasters, leading to widespread damage to infrastructure, loss of life, and major disruptions to urban economies. Rapid urbanization, inadequate drainage systems, and the rising frequency of extreme rainfall events are among the main drivers of flooding. The vulnerabilities of urban systems to flooding necessitate an integrated, simulation-based approach to analyse and compare various flood conditions, fostering proactive flood risk management.This study aims at developing a River-System Digital Twin (DT) framework for flood hazard mapping and risk reduction. The proposed DT combines advanced hydrodynamic modelling, geospatial analysis, and 3D city modelling to accurately simulate flood scenarios. High-resolution Digital Elevation Models (DEMs), river cross-section data, historical and projected land use and land cover (LULC) maps, and rainfall data for various return periods (e.g., 25, 50, and 100 years) are among the datasets that are used. These datasets are incorporated into a geospatial framework that facilitates both scenario-based analysis and simulation.The methodology involves building a 3D City Information Model (CIM) by extracting building and vegetation parcels from satellite imagery and using procedural modelling techniques in CityEngine software. This CIM is linked dynamically to flood inundation results obtained from 2D hydrodynamic simulation models. The results obtained from the DT, which include spatially dispersed water depths, flow velocities, and hazard intensity zones, can elucidate the possible effects of flooding on urban infrastructure, such as buildings in flood-prone areas and transit networks.Preliminary results of the study, conducted in the Adyar River Basin in Chennai, India, indicate that the Digital Twin (DT) effectively captures the geographical variation in inundation patterns across different rainfall scenarios Thus, by integrating 3D City Information Models (CIM) with hydrodynamic simulations for an urban system, the study aims to create a powerful tool for predicting, visualizing, and planning to mitigate the potential impacts of flooding on urban infrastructure and communities.","url":"https://doi.org/10.5194/egusphere-egu25-15018","authors":["Kapu Shravani","Roshan Srivastav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T02:16:55Z","doi":"10.5194/egusphere-egu25-15018","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00031-9","name":"About the editor","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00031-9","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T10:01:26Z","doi":"10.1016/b978-0-443-34226-4.00031-9","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.6618020","name":"A Level-4 Digital Twin Architecture for Deep Excavation Projects","source":"crossref","abstract":"Deep excavations involve high level of uncertainty, rapid state changes, and strict accountability, while existing digital twin frameworks remain largely descriptive. This paper proposes a Level-4 DT architecture tailored for deep excavation, integrating real-time monitoring, numerical modeling, predictive computation, computer vision, worker localization, and governance within a continuously synchronized system. A decoupled, stateful decision engine enables continuous safety reasoning and near-real-time back-analysis while preserving human-in-the-loop control. The architecture is model-agnostic and is demonstrated using the Residual Learning Method, with comparisons to Random Forest and LSTM in a case study of the Saint-Agne metro excavation. Results show that the system maintains functional integration of data ingestion, prediction, risk evaluation, and visualization under practical constraints. Although some components could not be fully validated due to limited field data, the framework demonstrates strong potential for safety-critical excavation monitoring and provides a foundation for future real-time DT deployment.","url":"https://doi.org/10.2139/ssrn.6618020","authors":["Mohsen Khosravi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-21T03:37:05Z","doi":"10.2139/ssrn.6618020","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00023-6","name":"Digital twin technology for 6G network","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00023-6","authors":["Xavi Masip-Bruin","Fabrizio Granelli","Cristina Costa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00023-6","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/iciss62896.2024.10751066","name":"The Adoption of Digital Twin Technology to Facilitate Resource and Asset Tracking in Field Service Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciss62896.2024.10751066","authors":["Ikrar Adinata Arin","Revaldo Dhamacora","Bima Aditya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T18:38:46Z","doi":"10.1109/iciss62896.2024.10751066","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iitcee59897.2024.10467314","name":"Digital twin based PID control modeling, design, and development for FPGA implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iitcee59897.2024.10467314","authors":["Palak Jain","Sanketh Bhat","Venkatarao Ryali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T18:13:50Z","doi":"10.1109/iitcee59897.2024.10467314","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.procir.2024.01.123","name":"Towards a Process Model for Digital Twin Implementation: The Implementation Canvas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.01.123","authors":["Hendrik van der Valk","Robert Schmelzer","Daniel Rose","Barbara Dinter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-07T05:05:22Z","doi":"10.1016/j.procir.2024.01.123","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ichve61955.2024.10676131","name":"Transformer Digital Twin Development Framework and Functionality Demonstration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichve61955.2024.10676131","authors":["Tingxuan Wang","Ziyuan Li","Zhaozheng Wang","Jing Liu","Shanika Yasantha Matharage","Zhaozheng Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-19T17:22:38Z","doi":"10.1109/ichve61955.2024.10676131","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.23919/splitech61897.2024.10612563","name":"Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study","source":"crossref","abstract":"","url":"https://doi.org/10.23919/splitech61897.2024.10612563","authors":["Daniel R. Bayer","Felix Haag","Marco Pruckner","Konstantin Hopf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T17:29:07Z","doi":"10.23919/splitech61897.2024.10612563","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.aei.2024.102567","name":"A unified framework for digital twin development in manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102567","authors":["Christina Latsou","Dedy Ariansyah","Louis Salome","John Ahmet Erkoyuncu","Jim Sibson","John Dunville"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-04T02:23:21Z","doi":"10.1016/j.aei.2024.102567","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.2139/ssrn.7305018","name":"Digital Twin and Simulation-Based Design of Agricultural Processing Equipment","source":"crossref","abstract":"Agricultural processing equipment plays a critical role in transforming raw agricultural materials into usable industrial inputs. In cotton processing, grain handling, seed cleaning, fiber preparation, and other post-harvest operations, machinery must process biological materials that are variable in moisture, size, density, contamination level, mechanical strength, and flow behavior. This variability creates engineering challenges related to throughput, cleaning efficiency, energy consumption, material loss, machine wear, equipment reliability, and product quality. This article proposes a digital twin and simulation-based design framework for agricultural processing equipment, with particular emphasis on cotton cleaning, cotton separation, and raw material handling machinery. The proposed framework connects physical equipment, sensor data, simulation models, process optimization, and design feedback into an integrated engineering system. Instead of relying only on physical prototyping or trial-and-error modification, engineers can use digital twin models to evaluate machine geometry, operating speed, material flow, cleaning performance, energy demand, and failure risk before or during equipment operation. The article presents a conceptual digital twin architecture, a simulation-based design workflow, key input and output parameters, performance indicators, an illustrative evaluation matrix, and future research directions. The framework is designed to support agricultural processing machinery modernization, industrial automation, predictive maintenance, and sustainable manufacturing. It is especially relevant to cotton processing equipment, where improved machinery design can reduce processing losses, improve raw material quality, increase energy efficiency, and support more resilient agricultural manufacturing systems.","url":"https://doi.org/10.2139/ssrn.7305018","authors":["Abdurasul Pirnazarov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T02:45:53Z","doi":"10.2139/ssrn.7305018","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/percomworkshops59983.2024.10503079","name":"Undeniable Authentication of Digital Twin-managed Smart Microfactory","source":"crossref","abstract":"","url":"https://doi.org/10.1109/percomworkshops59983.2024.10503079","authors":["Anusha Vangala","Ashok Kumar Das","Sajal K. Das"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T18:10:48Z","doi":"10.1109/percomworkshops59983.2024.10503079","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.20944/preprints202211.0429.v2","name":"A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)","source":"crossref","abstract":"The paper analyses the national DK-model Hydrological Information and Prediction (HIP) system and HIP portal viewed as a &amp;lsquo;Digital Twin&amp;rsquo; and how the introduction of real-time dynamic updating of the DK-model HIP simulations can give room for plug-in sub-models with real-time boundary conditions made available from a HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges have been addressed as part of the Joint Governmental Digitalization Strategy 2016-2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terra-byte of hydrological model data to the portal with robust calibration methods and hybrid Machine Learning (ML) being key parts of the deliverables. The paper discusses the challenges and potentials of further developing the HIP Digital Twin with &amp;lsquo;plug-in Digital Twins&amp;rsquo; for local river basins including feedback to the national level.","url":"https://doi.org/10.20944/preprints202211.0429.v2","authors":["Hans Jørgen Henriksen","Raphael Schneider","Julian Koch","Maria Ondracek","Lars Troldborg","Ida K. Seidenfaden","Søren Julsgaard Kragh","Eva Bøgh","Simon Stisen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-24T03:33:03Z","doi":"10.20944/preprints202211.0429.v2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.4018/978-1-6684-7791-5.ch007","name":"Digital Twin and Human Digital Twin for Practical Implementation in Industry 5.0","source":"crossref","abstract":"Technology, mass customization, and advanced manufacturing are all undergoing rapid change. Since they can now be used in conjunction with advances in artificial intelligence and human-computer interaction, robots are becoming even more significant. However, humans keep their importance in manufacturing as the most dynamic factor in the system. At this point, Industry5.0 proposes a solution, a strong necessity to increase productivity while not removing human workers from the manufacturing industry. It is a requirement that people and machines collaborate and progress with each other's strengths to develop an industrial ecosystem that is more effective, productive, and sustainable. In this chapter, the authors discussed the industry's historical development as well as some supporting technologies and potential applications for Industry 5.0, especially digital twin and human digital twin technologies, implementations, and their key points. Also, the components, benefits, and difficulties of these concepts were mentioned.","url":"https://doi.org/10.4018/978-1-6684-7791-5.ch007","authors":["Atıl Emre Coşgun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-01T08:56:08Z","doi":"10.4018/978-1-6684-7791-5.ch007","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.measen.2024.101180","name":"Research on fault location of DC line in UHV converter station based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measen.2024.101180","authors":["Zhenlin Huang","Xing Wen","Jinwei Zhu","Ziyan Feng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-02T21:55:37Z","doi":"10.1016/j.measen.2024.101180","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icccworkshops62562.2024.10693770","name":"Intelligent Congestion Control in QUIC for Reliable E2E Communication Network: A Digital Twin-Based Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccworkshops62562.2024.10693770","authors":["Tongzhou Yang","Qihao Li","Fengye Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-04T17:31:53Z","doi":"10.1109/icccworkshops62562.2024.10693770","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icipca61593.2024.10709295","name":"Research on Fault Diagnosis Method of Converter Transformer Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icipca61593.2024.10709295","authors":["Huang Shilei","Huang Daojun","Liu Zhikui","Liu Xing"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T17:19:32Z","doi":"10.1109/icipca61593.2024.10709295","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1115/1.4065875","name":"Digital Twin Applied to Predictive Maintenance for Industry 4.0","source":"crossref","abstract":"Abstract The major concept of the future Industrial 4.0 framework is the integration of artificial intelligence (AI) and the implementation of digital twin (DT), which avoids serious economic losses caused by unexpected equipment failures and significantly improves system reliability. DT is an emerging technology in the context of digital transformation that enables the monitoring, diagnosis, energy efficiency, and optimization of different systems. Numerous initiatives have shown how AI can enhance the performance of DT for industrial applications. This paper describes a data-based DT architecture for the monitoring, and predictive maintenance (PdM) in manufacturing. This new concept is based on deep learning, specifically the autoencoder model. The system was tested on a real industry example, by developing the data collection, data system analysis, and applying the deep learning approach. The data were collected from a Profinet communication network installed on an automated system. This approach enables better quality results and more efficient management of the weaver's workshop. Lastly, to prove the efficiency and the accuracy of the newly developed approach, an example is shown.","url":"https://doi.org/10.1115/1.4065875","authors":["Rochdi Kerkeni","Safa Khlif","Anis Mhalla","Kais Bouzrara"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T09:54:32Z","doi":"10.1115/1.4065875","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.procs.2024.02.083","name":"Strategic Digitalization in SMEs of developing economies: Digital twin driven engineering value chain for customer-centricity","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.02.083","authors":["Gautam Dutta","Dr Ravinder Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T19:25:32Z","doi":"10.1016/j.procs.2024.02.083","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.5194/egusphere-egu25-8595","name":"What Science Communication Can Learn from the Digital Twin","source":"crossref","abstract":"This presentation explores the concept of a digital twin and examines how it can inspire science communication to embrace interactivity, transparency, systems thinking, empowerment, and dynamic adaptation.Digital twins are one of the current buzzwords in scientific research and technological development. Originating from Industry 4.0, the concept has gained widespread adoption and is now indispensable in fields such as healthcare, urban planning, aerospace, and particularly Earth system research. We are surrounded by a growing number of digital twins representing environmental compartments, such as soil, plant systems, and groundwater. And one of the most ambitious projects in the history of science is the creation of a digital twin of the entire Earth system (DTE), which is progressing at full speed. This comes as no surprise, given that digital twins (alongside AI) are among the most promising tools for disaster prevention, climate change adaptation, and resource management (e.g., global food security). But what exactly is the secret of the great success of these digital twins, and what is their added value compared to conventional modeling?On the other hand, science communication has today evolved far beyond the mere dissemination of scientific results. For the natural sciences in particular, this evolution is crucial, as socio-ecological transformation research demonstrates the necessity of individualized, target-group-specific, and dialogical communication to ensure public acceptance. Approaches such as Living Labs and strategic Citizen Science aim to meet these demands.Inspired by the concept of the digital twin, which serves as a virtual representation of real systems and is used to adapt and improve the outgoing research design through its continuous feedback, the presentation introduces the idea of a \"communication twin.\" This approach encourages the early integration of relevant societal and political target groups, whose dialogical feedback could help optimize research projects. Early integration could strengthen trust in scientific findings and increase the acceptance of innovations by considering the needs and perspectives of the target groups, since they are taken into account in advance. This could also boost the relevance of research and enhance the likelihood of political support and implementation of innovations into concrete measures and actions.However, this integrative approach also poses challenges, particularly regarding the preservation of academic freedom. The presentation examines how to balance societal and political integration with scientific independence, using a current example of strategic science communication for a new soil-plant climate simulator for the agriculture of the future. Based on the communication twin concept, the presentation showcases best practice examples tailored to various target groups, including leading researchers in the field, policymakers, media and the interested public, and youth education.Finally, the presentation will invite discussion with a focus on the political target group: How can more activities at the science-policy interface be initiated based on the presented concept to incorporate feedback optimally and dialogically into projects? The talk encourages the audience to collaboratively explore new ways to design effective and sustainable science communication.","url":"https://doi.org/10.5194/egusphere-egu25-8595","authors":["Marie-Isabel Ludwig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T21:32:56Z","doi":"10.5194/egusphere-egu25-8595","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.17513/snt.40322","name":"HUMAN DIGITAL TWIN AND PERSONALITY DIGITAL TWIN IN ORGANIZATIONAL SYSTEMS","source":"crossref","abstract":"","url":"https://doi.org/10.17513/snt.40322","authors":["S.V. Tarkhov","L.M. Tarkhova","Yu.R. Nazarova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T15:09:58Z","doi":"10.17513/snt.40322","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/iccsm63823.2024.00012","name":"Digital Twin Based Asynchronous Federated Learning Enabled IDS for False Data Injection Attacks in Vehicular CPS","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccsm63823.2024.00012","authors":["Sunitha Safavat","Danda B. Rawat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-27T17:19:43Z","doi":"10.1109/iccsm63823.2024.00012","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1007/s00466-024-02467-3","name":"A machine-learning enabled digital-twin framework for the rapid design of satellite constellations for “Planet-X”","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00466-024-02467-3","authors":["T. I. Zohdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-12T08:01:55Z","doi":"10.1007/s00466-024-02467-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.70675/c2cbdbedzcb47z44b8za69az1af68d2cd38b","name":"Digital Twin systems for production systems : Application on the manufacturing lab","source":"crossref","abstract":"Systèmes de Jumeau Numérique pour les systèmes de production : Application sur le manufacturing lab Les systèmes de production traditionnels rencontrent de nombreux défis lors de leur transition vers l'Industrie 4.0 (I4.0). Ils doivent s’adapter rapidement aux fluctuations de la demande, aux perturbations des chaînes d’approvisionnement et aux pannes d’équipements. La digitalisation des actifs est cruciale pour garantir une communication fluide et une intégration homogène des données à travers les chaînes de valeur. Cela implique une réorganisation des machines et équipements en intégrant des technologies comme l’Internet des objets (IoT), l’analyse des données et l’intelligence artificielle (IA). Les systèmes modernes, basés sur des architectures avancées telles que RAMI 4.0, permettent de concevoir et implémenter des Jumeaux Numériques (JN). Cependant, ces systèmes doivent satisfaire des exigences d’interopérabilité, de communication et de standardisation, et l’application cohérente de normes comme l’ISO 23247 constitue un défi important. La gestion des systèmes de production intelligents exige une approche méthodique et intégrée pour répondre à des enjeux structurels, opérationnels et organisationnels complexes, tout en assurant un alignement entre les objectifs stratégiques et les opérations terrain. Ce travail de recherche vise à développer une approche structurée pour concevoir, développer et mettre en œuvre des systèmes de JN alignés sur la vision stratégique des entreprises manufacturières. L’approche garantit la traçabilité des éléments de conception, l’interopérabilité, l’intégration des données, la précision des modèles, la synchronisation des données en temps réel et l’adaptation des définitions standardisées aux besoins spécifiques et contextes opérationnels. Deux volets principaux structurent ce cadre méthodologique : Processus de développement d’un système de JN : Ce processus a été expérimenté sur la plateforme technologique S.mart RAO pour tester des scénarios comme la gestion des ordres de fabrication et le réordonnancement dynamique sur un poste d’assemblage, tout en tenant compte de la hiérarchie de la ligne de production. Validation du système de JN : À partir des connaissances extraites, un prototype de système de JN a été conçu et validé pour vérifier qu’il répond aux exigences et objectifs définis durant le processus de développement. Cette approche permet de formuler des recommandations pour le développement et l’utilisation des JN, afin de mieux atteindre des objectifs stratégiques et tactiques, tels que l’amélioration des performances de production. L’analyse approfondie des défis, la mise en œuvre pratique et la validation du cadre conceptuel apportent des solutions adaptées aux exigences des systèmes de production modernes.","url":"https://doi.org/10.70675/c2cbdbedzcb47z44b8za69az1af68d2cd38b","authors":["Xeniya Pystina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T05:32:06Z","doi":"10.70675/c2cbdbedzcb47z44b8za69az1af68d2cd38b","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.36227/techrxiv.175624632.23702199/v1","name":"Digital Twin Framework for Wind Tunnel-Based Aeroelastic Structure Evaluation","source":"crossref","abstract":"With the increasing complexity of modern aerospace structures, traditional wind tunnel testing is no longer sufficient for capturing the full dynamic behavior of aeroelastic systems. Digital Twin (DT) technology offers a promising solution by creating a real-time, virtual representation of physical systems that can adapt and evolve with data inputs. This paper presents a novel digital twin framework for evaluating aeroelastic structures within a wind tunnel environment. The framework integrates real-time sensor feedback, computational fluid dynamics (CFD), and structural models to dynamically simulate and predict system behavior under aerodynamic loads. Experimental validation using a scale model shows enhanced prediction accuracy and adaptive behavior in response to physical perturbations. The proposed framework demonstrates the potential to revolutionize wind tunnel testing and structural analysis in aerospace engineering.","url":"https://doi.org/10.36227/techrxiv.175624632.23702199/v1","authors":["Shohanur Rahaman Sunny"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-26T22:12:07Z","doi":"10.36227/techrxiv.175624632.23702199/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/9781119842316","name":"Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T05:46:30Z","doi":"10.1002/9781119842316","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/hpcc64274.2024.00152","name":"Anomaly Localization in Industrial Cyber-Physical Systems Via a Digital Twin-Driven Multi-Task Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/hpcc64274.2024.00152","authors":["Xin Du","Chunjie Zhou","Kunkun Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-23T18:33:48Z","doi":"10.1109/hpcc64274.2024.00152","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1061/jitse4.iseng-2323","name":"Digital Twin-Enabled Infrastructures: A Bibliometric Analysis-Based Review","source":"crossref","abstract":"","url":"https://doi.org/10.1061/jitse4.iseng-2323","authors":["Roohollah Taherkhani","Mohammad Amin Ashtari","Mohamadmahdi Aziminezhad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-22T14:24:45Z","doi":"10.1061/jitse4.iseng-2323","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/codit62066.2024.10708461","name":"Modeling and simulation of mechatronics equipment for a Digital Twin-enabled demonstrator","source":"crossref","abstract":"","url":"https://doi.org/10.1109/codit62066.2024.10708461","authors":["Chiara Nezzi","Matteo De Marchi","Renato Vidoni","Erwin Rauch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-18T13:27:18Z","doi":"10.1109/codit62066.2024.10708461","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icocta64736.2024.00046","name":"A Satellite Momentum Wheel Digital Twin Model Based on Multi-step Parameter Optimization Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icocta64736.2024.00046","authors":["Kaixin Ying","Yuehua Cheng","Ningyun Lu","Ziquan Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-28T02:37:14Z","doi":"10.1109/icocta64736.2024.00046","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/iccad60883.2024.10553975","name":"3D-Localization of RFID Tags for a Digital Twin of an Industrial Order-Picking Process","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccad60883.2024.10553975","authors":["Jakob Wittmann","Corinna Huber","Lukas Rissmann","Sebastian Meissner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-18T17:30:20Z","doi":"10.1109/iccad60883.2024.10553975","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1115/imece2024-144479","name":"Sensor Optimization for Damage Detection Within a Digital Twin Framework","source":"crossref","abstract":"Abstract A random forest model is trained on dataset generated by finite element (FE) simulation to predict the damage location on a metallic plate. An optimization framework is integrated to identify minimal number of sensors required and optimal sensor placements. The accuracy of the FE model was validated against analytical solutions and experimental measurements, where satisfactory agreement was found with analytical solutions. The out-of-plane displacement and the normal strain at the bottom of the plate surface were extracted from the simulation at different virtual sensor locations to serve as inputs to the random forest model. It was found that satisfactory prediction accuracy can be achieved with just two sensors for this specific problem. Using a response surface optimization method, the optimal sensor locations that minimizes prediction error are identified, and achieved higher accuracy than the baseline case with equidistant sensor placement. This study lays a strong foundation for developing a machine-learning-based structural health monitoring model within a digital twin framework.","url":"https://doi.org/10.1115/imece2024-144479","authors":["Junyan He","Enixe Aguilar","Markus Eger","Zahra Sotoudeh","Linqi Zhuang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-23T12:52:42Z","doi":"10.1115/imece2024-144479","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/ictc62082.2024.10827611","name":"MetaFed: Metadata Management System for Digital Twin Federation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc62082.2024.10827611","authors":["Won Gi Choi","Younghwan Jeong","Taemin Hwang","Youn-il Lee","Sang-Shin Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-14T19:40:10Z","doi":"10.1109/ictc62082.2024.10827611","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.techfore.2024.123409","name":"Assessing governance implications of city digital twin technology: A maturity model approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.techfore.2024.123409","authors":["Masahiko Haraguchi","Tomomi Funahashi","Filip Biljecki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-07T13:51:32Z","doi":"10.1016/j.techfore.2024.123409","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.47330/cbc.2021.qnaq7017","name":"Blockchain-ing of Supplier's Management Process","source":"crossref","abstract":"Disconnected workflow or fragmentation is a challenge in the construction industry. Supply chains have been a complicated issue since the beginning of time, in all types of situations, from the battlefield to the project site. Now builders, developers, manufacturers, architects, and contractors are dealing with that reality “In technology, over decades of management, there is a great deal of information and stakeholders have learned to use data to make decisions on supply chain visibility and inventory, which means it can be managed better”.","url":"https://doi.org/10.47330/cbc.2021.qnaq7017","authors":["Kevin Chinniah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:53:32Z","doi":"10.47330/cbc.2021.qnaq7017","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.47953/sae-pp-00295","name":"Cloud Control Platform, from Information System to Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.47953/sae-pp-00295","authors":["Jian Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-22T17:01:41Z","doi":"10.47953/sae-pp-00295","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/cem.70085/v1/review1","name":"Review for \"Developing Digital Twin Visualizations: A Methodology and Case Study\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/cem.70085/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-19T21:07:14Z","doi":"10.1002/cem.70085/v1/review1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/etfa61755.2024.10710670","name":"Architecture of Digital Twin for Automating Waste and Recycling Material Sorting Process","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa61755.2024.10710670","authors":["Shreyas Parbat","Imam Iqbal","Isabell Viedt","Leon Urbas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-16T17:51:22Z","doi":"10.1109/etfa61755.2024.10710670","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.5117/jel2024.1.002.shak","name":"Cúpla Trá: Combining Landscape Biography and Digital Twin Technology for the protection and management of an Irish Coastal Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.5117/jel2024.1.002.shak","authors":["Emily Shakespeare","Robin Stubbs"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-11T10:31:50Z","doi":"10.5117/jel2024.1.002.shak","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/icc51166.2024.10622736","name":"An Intelligent Monitoring and Warning Framework in Drone Swarm Digital Twin Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622736","authors":["Umit Demirbaga","Gagangeet Singh Aujla","Maninderpal Singh","Amritpal Singh","Hongjian Sun","Joseph Camp"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T15:34:42Z","doi":"10.1109/icc51166.2024.10622736","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/eebda60612.2024.10485670","name":"Design of Smart Tourism Visual Analysis Platform Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eebda60612.2024.10485670","authors":["Suiqun Li","Yidan Feng","Qikai Chu","Guangjian Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-08T20:33:34Z","doi":"10.1109/eebda60612.2024.10485670","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch007","name":"Explainable AI-Driven Digital Twins for Adaptive Learning Design","source":"crossref","abstract":"Integrating explainable AI with digital twins is a new approach to transforming education and designing adaptive learning pathways. The digital twin acts as a virtual and dynamic representation of the learner in the educational context and continuously receives and analyzes a variety of data such as academic performance, behavioral patterns, participation rate, and learning conditions. Subsequently, machine learning algorithms and multi-objective optimization methods are used to design personalized learning paths that balance learning speed, quality of conceptual understanding, and student motivation. What distinguishes this approach is the use of explainable mechanisms that make the reasons for the algorithm's decisions clear to the teacher and student in plain language. This transparency increases trust, acceptance, and active interaction of users. Ultimately, such a system can become the foundation for the future of smart education and the creation of learning environments that adapt to individual needs.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch007","authors":["Shokhista Anarmetova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch007","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/9781394390205.ch11","name":"Optimizing Renewable Energy Management with the Use of Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.ch11","authors":["Supriya","Vriti Khandelwal","Kushagar Sharma","Vasu Sharma","Kashish Kalra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.ch11","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1145/3703790.3703834","name":"3K: Knowledge-Enriched Digital Twin Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3703790.3703834","authors":["Erkan Karabulut","Paul Groth","Victoria Degeler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T12:30:00Z","doi":"10.1145/3703790.3703834","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1109/swc62898.2024.00329","name":"Sound of Reason: Using AI to build a Digital Twin after the Kanon of Pythagoras in school settings","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00329","authors":["Zach Anthis","Alexandros Basiakoulis","Kyriakos Efstathiou","Marianna Efstathiou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00329","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.7717/peerj-cs.3929/table-3","name":"Table 3: Summary of works related to smart additive manufacturing by using digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.70675/f28d6aebz7443z451dzaa37zf318fe9d3812","name":"Digital Twin for the Dynamic Orchestration of Autonomous and Embedded Systems","source":"crossref","abstract":"Jumeau numérique pour l'orchestration dynamique de systèmes autonomes et embarqués À mesure que les technologies de contrôle et d'information progressent, les systèmes de production modernes évoluent vers une automatisation et une intelligence accrues. Le concept de jumeau numérique prend de plus en plus d'importance dans divers secteurs, offrant une méthode claire pour gérer des systèmes complexes par le biais de contreparties numériques. Toutefois, ce domaine émergent présente plusieurs défis et questions de recherche critiques, notamment en ce qui concerne l'application des systèmes de jumeaux numériques à l'industrie. Au-delà des défis posés par la supervision de systèmes cyber-physiques complexes, il existe un besoin pressant d'une représentation complète et interopérable des produits, des processus de production et des ressources de l'usine, qui puisse s'intégrer de manière transparente à divers équipements. Cette thèse étudie trois questions principales : l'interopérabilité, l'adaptabilité et la robustesse des systèmes de production dans le contexte de l'industrie 4.0. Elle propose une architecture de production auto-adaptative basée sur la représentation des capacités de production (CBSAM), qui utilise des approches d'ingénierie logicielle telles que l'ingénierie basée sur les capacités, l'ingénierie dirigée par les modèles (IDM) et l'approche MAPE-K (surveiller, analyser, planifier, exécuter et connaissance) pour améliorer l'adaptabilité et l'efficacité des systèmes de production. L'architecture proposée intègre une boucle de rétroaction pour permettre l'auto-adaptabilité du système de jumeau numérique, qui assure la continuité du processus de production sur ses performances et s'adapte aux changements du système physique. Cette recherche va au-delà de l'architecture conceptuel pour développer des outils logiciels pratiques, en intégrant la technologie jumeau numérique dans un écosystème existant d'ingénierie des systèmes basée sur les modèles (ISBM) pour compléter l'architecture CBSAM. Un cas d'usage académique développé dans le laboratoire présente en détail la mise en œuvre de la méthodologie CBSAM. Enfin, cette thèse se termine par une généralisation à l'architecture et à l'achèvement de la mise en œuvre comme perspective pour l'avenir.","url":"https://doi.org/10.70675/f28d6aebz7443z451dzaa37zf318fe9d3812","authors":["Yining Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T14:46:08Z","doi":"10.70675/f28d6aebz7443z451dzaa37zf318fe9d3812","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00031-2","name":"About the editor","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00031-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:47:38Z","doi":"10.1016/b978-0-443-30300-5.00031-2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1504/ijdmb.2024.139481","name":"Application of digital twin virtual design and BIM technology in intelligent building image processing","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijdmb.2024.139481","authors":["Fengyi Han"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-03T11:35:04Z","doi":"10.1504/ijdmb.2024.139481","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.1016/j.procs.2024.01.050","name":"Digital Twin-based Predictive Maintenance for Sheet Metal Bending","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.01.050","authors":["Simon Mayr","Thomas Gross","Stefan Krenn","Wolfgang Kunze","Christian Zehetner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T23:08:42Z","doi":"10.1016/j.procs.2024.01.050","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.procs.2024.09.603","name":"What does a Heart Beat for? A Heterogeneous Approach for Human Digital Twin Construction","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.09.603","authors":["Stefano Marrone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-28T17:56:04Z","doi":"10.1016/j.procs.2024.09.603","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1680/dtsc.66007.121","name":"Comparison of City Digital Twin case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1680/dtsc.66007.121","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T06:52:03Z","doi":"10.1680/dtsc.66007.121","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5218274","name":"Architectural Design for Digital Twin Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5218274","authors":["Jorg Wieme","Mathias Baert","Jeroen Hoebeke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-15T14:49:01Z","doi":"10.2139/ssrn.5218274","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.21125/inted.2026.1860","name":"DIGITAL TWIN APPLICATIONS IN EDUCATION","source":"crossref","abstract":"","url":"https://doi.org/10.21125/inted.2026.1860","authors":["Arun Nambiar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T13:37:48Z","doi":"10.21125/inted.2026.1860","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1115/icone31-135796","name":"Digital Twin and Surrogate Model for Long-Term Geochemical Processes in Nuclear Waste Management","source":"crossref","abstract":"Abstract This study presents an advance in predicting long-term stability in waste containment systems. Employing a surrogate model based on the 25 GEMS Python scripts, we simulate geochemical interactions within waste degradation processes over 100 years. The model simplifies complex full-scale geochemical models using a mixing tank approach, primarily examining the evolution of material properties influenced by uncertain surface characteristics and reaction kinetics. 1 million cases are generated using the neural network-based surrogate model, drastically reducing computational time (∼1.9 seconds) compared to traditional methods (∼78.4 days). The model evaluates the deterioration mechanisms of various materials like iron, aluminum, zinc, and brass, in cementitious waste packages, crucial for assessing their impact on the integrity of waste containment over extended periods. Our findings with the neural network-based surrogate model, including ion concentrations and mass changes in materials like iron, brass, aluminum, and copper, offer detailed insights into chemical changes in the system. Incorporating a sensitivity analysis with 1 million cases generated by the surrogate model, the study underscores the interplay between chemical reactions and material properties, establishing a digital twin that links reaction rates to the stability of nuclear waste repositories. This study presents key indicators of potential integrity threats due to material expansion, contraction, or gas-induced pressure variations.","url":"https://doi.org/10.1115/icone31-135796","authors":["Guang Hu","George Dan Miron","Wilfried Pfingsten","Rainer Dähn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T21:27:36Z","doi":"10.1115/icone31-135796","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:32.625Z"},{"id":"doi:10.3390/s26134094","name":"A Two-Stage Coarse-to-Fine Framework for Sparse Crowd Density Prediction in Digital Twin-Based Safety Monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134094","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26134094","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-58063-3","name":"Multi-line LiDAR 3D construction environment modeling and BIM consistency update method for digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-58063-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-58063-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.20944/preprints202607.0756.v1","name":"Twin Transition: Do 5G Applications Really Improve Corporate Environmental, Social, and Governance (ESG) Performance?","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.0756.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.0756.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10234231/v1","name":"From Static Tables to Predictive Twins: Field-Validated Forecasting of V2G-Induced Insulation Thermal Aging in Residential Switchboards under VDE-AR-N 4100, with a Retrofit Pathway for Peru","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10234231/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10234231/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-49490-3","name":"TwinGuard-Sec: a federated blockchain-enabled AI framework for standardized security and privacy in cross-domain digital twin ecosystems over 6G.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-49490-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-49490-3","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.20944/preprints202607.1218.v1","name":"Expert Systems in the Energy Transition as a Tool for Intelligent Support of Decarbonization and Sustainable Development","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1218.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1218.v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s44433-026-00004-x","name":"Video-based cattle behaviour detection for digital twin development in precision dairy systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44433-026-00004-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44433-026-00004-x","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1186/s12913-026-14714-9","name":"State-of-the-art technologies for the digital transformation of healthcare services - a systematic scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12913-026-14714-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s12913-026-14714-9","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/eahr.70022","name":"Digital Twins in Translational Research and Health Care: An Anthropological Perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/eahr.70022","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/eahr.70022","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-10705298/v1","name":"Surrogate-Assisted Reliability, Optimization, and Parameter Back-Analysis in Geotechnical Engineering: A State-of-the-Art Synthesis","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10705298/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10705298/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.7759/cureus.106276","name":"Digital Twin-Guided Virtual Clinical Trials for Predicting and Preventing Postoperative Atrial Fibrillation in Cardiac Surgery.","source":"europepmc","abstract":"","url":"https://doi.org/10.7759/cureus.106276","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.7759/cureus.106276","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/e28070741","name":"SAF: A Spectral-Adaptive Fusion Algorithm for Link Prediction in Complex Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28070741","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/e28070741","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/frai.2026.1751785","name":"Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2026.1751785","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1751785","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41746-026-02402-1","name":"Too many bits: tackling the waste epidemic in digital medicine.","source":"europepmc","abstract":"As digital medicine expands, the growing volume of unused (or underutilized) data are creating a hidden epidemic of technological waste. For example, the concept of a digital twin has gained rapid traction. A virtual replica to mirror an organ, physiological system or a patient to explore predictive simulation, real-time monitoring and/or “what-if” scenarios. Yet, a digital twin generates big data e.g., sensor streams, metadata, audit logs, simulations, and backups. Over time, much of that data may become dormant, but require storage. That is the burden of going digital, invisible waste with the accumulation of unused files, logs, archives, and dormant applications/apps especially in Cloud and institutional infrastructures. The environmental, financial, and operational costs of digital waste are rarely discussed in medicine (or health), yet it matters as data ecosystems scale. In contrast (physical) electronic/e-waste is broadly discussed. Here, we discuss why digital medicine researchers and institutions must take digital waste seriously. We highlight Digital Cleanup Day (21 March 2026) and raise awareness to embed data sustainability metrics into digital medicine.","url":"https://doi.org/10.1038/s41746-026-02402-1","authors":["Conor Wall","Luke Li Stange","Heidi Solba","Brian Gillespie","David Parks","Alan Godfrey"],"tags":["Cloud computing","Big data","Sustainability","Audit","Digital health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-026-02402-1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.1038/s41598-026-36111-2","name":"Digital twin-based intelligent risk assessment and decision support system for university student entrepreneurial projects.","source":"europepmc","abstract":"Abstract University student entrepreneurial ventures face significantly higher failure rates compared to traditional businesses, primarily due to inadequate risk assessment and decision-making challenges. This research develops an innovative digital twin-based intelligent risk assessment and decision support system specifically designed for student entrepreneurial projects. The system integrates digital twin technology with machine learning algorithms to create comprehensive virtual representations of entrepreneurial ventures, enabling real-time risk monitoring, predictive analytics, and intelligent decision recommendations. The proposed framework employs a multi-layered architecture encompassing data acquisition, digital twin modeling, risk assessment engines, and intelligent decision support modules. Experimental validation using 2,847 entrepreneurial projects demonstrates superior performance with 94.2% prediction accuracy, compared to 78.5% for traditional statistical methods and 85.7% for standard machine learning approaches. The system provides early warning capabilities with average lead times of 22.1 days and achieves 23.7% improvement in project success rates. Results indicate significant enhancements in decision-making effectiveness, risk mitigation capabilities, and overall entrepreneurial project outcomes, with user satisfaction scores averaging 4.47 out of 5.0. This research contributes to the theoretical understanding of digital twin applications in entrepreneurial contexts while providing practical solutions for improving student venture success rates through intelligent risk management and decision support.","url":"https://doi.org/10.1038/s41598-026-36111-2","authors":["Rongting Qin","Xiaojie Zi","Xiaoxi Ge"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-36111-2","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s26103219","name":"Evolutionary Digital Twin for Oil and Gas Pipelines: A Cognitive Multi-Agent Framework with Continuous Feedback Learning.","source":"europepmc","abstract":"The structural integrity and risk management of long-distance oil and gas pipelines are critically challenged by multi-source data heterogeneity, complex multi-physics degradation mechanisms, and the dynamic nature of operational environments. Traditional monolithic artificial intelligence models struggle with cross-domain knowledge fusion and often suffer from historical context forgetting over decades-long infrastructure lifecycles. To address these bottlenecks, this paper proposes an evolutionary digital twin framework driven by a collaborative architecture between small specialized models and a large general model. Specifically, the framework encapsulates physics-informed models (e.g., corrosion prediction and geohazard evaluation) as domain expert agents to guarantee rigorous numerical computation at the edge, keeping sensitive operational data strictly localized. To synthesize conflicting localized risks, a locally deployed, privacy-preserving large language model acts as a central cognitive hub. This hub utilizes external knowledge retrieval and structured reasoning to formulate transparent, multi-objective intervention strategies. Furthermore, a continuous feedback learning mechanism is introduced to capture tacit expert knowledge. By formalizing human operational interventions into historical memory and employing parameter stabilization techniques, the system dynamically updates its knowledge base while effectively mitigating catastrophic forgetting. Ultimately, the proposed framework provides a reliable and privacy-compliant methodology, significantly enhancing the interpretability and predictive foresight of pipeline integrity management.","url":"https://doi.org/10.3390/s26103219","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26103219","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1155/ijta/8397610","name":"Integrating the Metaverse Into Medical Practice: A Systematic Review of Its Potential and Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1155/ijta/8397610","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1155/ijta/8397610","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1016/j.compchemeng.2026.109560","name":"Advanced Control of Continuous Pharmaceutical Manufacturing Processes: A Case Study on the Application of Artificial Neural Network for Predictive Control of a CDC Line.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.compchemeng.2026.109560","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.compchemeng.2026.109560","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41746-026-02464-1","name":"A novel digital twin strategy to examine the implications of randomized clinical trials for real-world populations.","source":"europepmc","abstract":"Randomized clinical trials (RCTs) guide medical practice; however, their generalizability across populations varies. We developed a statistically informed Generative Adversarial Network model, RCT-Twin-GAN, that leverages relationships between covariates and outcomes to generate a digital twin of an RCT conditioned on covariate distributions from a second patient population. We reproduced the disparate treatment effects of RCTs with similar interventions: the Systolic Blood Pressure Intervention Trial (SPRINT) and the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Blood Pressure Trial. To demonstrate treatment effects of each RCT conditioned on the other RCT population, we evaluated the cardiovascular event-free survival of SPRINT-Twins conditioned on the ACCORD cohort and vice versa. The digital twins demonstrated balanced treatment arms (mean absolute standardized mean difference (MASMD)) of covariates 0.019 (SD 0.018), and the ACCORD-conditioned covariates of the SPRINT-Twins distributed more similarly to ACCORD than SPRINT (MASMD 0.0082 SD 0.016 vs. 0.46 SD 0.20). Notably, SPRINT-conditioned ACCORD-Twins reproduced the non-significant outcome seen in ACCORD (0.88 (0.73-1.06) vs. 0.87 (0.68-1.13)), while ACCORD-conditioned SPRINT-Twins reproduced the significant outcome seen in SPRINT (0.75 (0.64-0.89) vs. 0.79 (0.72-0.86)). Finally, we applied this approach to a real-world population in the electronic health record. RCT-Twin-GAN simulates the translation of RCT-derived treatment effects across patient populations.","url":"https://doi.org/10.1038/s41746-026-02464-1","authors":["Phyllis Thangaraj","Sumukh Vasisht Shankar","Sicong Huang","Girish N. Nadkarni","Bobak J. Mortazavi","Evangelos K. Oikonomou","Rohan Khera"],"tags":["Randomized controlled trial","Medicine","Generalizability theory","Covariate","Population"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-026-02464-1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41598-026-49994-y","name":"A transformer-graph neural network framework for cyber twin-driven personalized respiratory monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-49994-y","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-49994-y","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26072223","name":"3D Urban Outdoor WiFi 7 Network Planning and Analysis Using Ray-Tracing and Machine Learning: Transformer-Based Surrogate Modeling for High-Resolution Digital Twin.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072223","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26072223","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/frai.2026.1719703","name":"The realism of behavioral theory-based vs. non-theory-based AI agents during a simulated infant formula shortage.","source":"europepmc","abstract":"Introduction AI-driven digital twins and autonomous AI agents are increasingly used to simulate human behavior during crises. Incorporating behavioral science frameworks may improve agent realism, but this practice is still in its infancy. This research evaluates the realism of behavioral theory-based agents in a controlled experimental design. Methods Using a simulated infant formula shortage in South Dallas County, we compare two conditions: one with theory-based agents, and another without. Participants (human raters) assessed the perceived realism of agent decisions across both conditions. Results Results showed significantly higher realism ratings for the theory-based agents, supporting our hypothesis. Discussion This study constitutes an early effort to assess behavioral theory in simulation frameworks and establish a repeatable method for assessing behavioral fidelity. It provides policymakers and researchers with a theory-informed approach for enhancing AI agent realism, with the goal of increasing trust in digital twin models used for decision support in high-stakes environments.","url":"https://doi.org/10.3389/frai.2026.1719703","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1719703","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26123734","name":"A Curriculum Approach to Reduce the Dynamics-Related Reality Gap in Autonomous Driving Decision-Making.","source":"europepmc","abstract":"Decision-making is a fundamental component of autonomous driving, where complex urban scenarios require safe, robust, and adaptable behaviours. This work presents a curriculum learning approach to reduce the dynamics-related reality gap in autonomous driving decision-making through a hybrid architecture that combines learning-based tactical decisions with classical planning and control methods. The proposed methodology follows a staged sim-to-real process: first, the decision-making policies are trained in a lightweight simulator to learn basic kinematic behaviours; then, they are transferred and refined in CARLA to account for vehicle dynamics; subsequently, a digital twin of the real platform and test environment is used for scenario-specific fine-tuning; finally, the resulting architecture is validated through parallel execution with a real vehicle. The proposed approach focuses on vehicle dynamics, actuation response, and scenario geometry rather than on the complete sim-to-real problem for autonomous driving. The approach is evaluated across multiple urban driving scenarios in simulation, including lane changing, roundabouts, merging, and crossroads, while real-world validation is conducted in a controlled merge scenario. Experimental results show that the proposed curriculum improves training efficiency and final performance across the different stages, achieving success rates above 91% in SMARTS. In CARLA, the proposed architecture completes the evaluated scenarios up to 50% faster than the Autopilot baseline while improving comfort and safety-related metrics in terms of acceleration and jerk. The real-world parallel execution experiment further demonstrates the feasibility of transferring the decision-making architecture to a physical vehicle under controlled conditions. Finally, an ablation study quantifies the contribution of each curriculum stage to the overall system performance.","url":"https://doi.org/10.3390/s26123734","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123734","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/s26102990","name":"SABER-BIM: A Component-Level Adaptive Lightweighting Framework for Digital Twin BIM Models.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26102990","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26102990","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/or.2026.1849152","name":"Artificial intelligence-driven multimodal fusion for precision diagnosis and personalized management of breast cancer.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/or.2026.1849152","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/or.2026.1849152","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/jcm15083168","name":"Diagnostic Performance of Prenatal Ultrasound to Detect Velamentous Cord Insertion in Twin Pregnancies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15083168","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcm15083168","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1055/a-2773-0963","name":"[AI-Assisted EVAR Planning - Experiences in Simple and Complex Cases with the Digital Twin Technology].","source":"europepmc","abstract":"","url":"https://doi.org/10.1055/a-2773-0963","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1055/a-2773-0963","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1016/j.jenvman.2026.130298","name":"From experience to power: How CEO tenure dominance shapes green technological innovation in Chinese manufacturing firms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2026.130298","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.jenvman.2026.130298","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41467-026-68923-1","name":"Advancing neuroengineering with Neuromorphic Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-026-68923-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41467-026-68923-1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41746-025-01910-w","name":"A scoping review of human digital twins in healthcare applications and usage patterns.","source":"europepmc","abstract":"Digital twins have become increasingly popular across various industries as dynamic virtual models of physical systems. In healthcare, Human Digital Twins (HDTs) serve as virtual counterparts to patients. According to the National Academies of Sciences, Engineering, and Medicine (NASEM), a digital twin must be personalized, dynamically updated, and have predictive capabilities to-in the context of health care-inform clinical decision-making. This scoping review aims to assess the current state of HDTs in healthcare, examining whether the literature aligns with the NASEM definition and identifying trends. A systematic literature search was conducted, covering articles published from January 2017 to July 2024. Only 18 of the 149 included studies (12.08%) fully met the NASEM digital twin criteria. Digital shadows made up 9.4% of studies, general digital models comprised 10.07%, and virtual patient cohorts were another 10.07%. Only two studies mentioned verification, validation, and uncertainty quantification (VVUQ), a critical NASEM standard for model reliability.","url":"https://doi.org/10.1038/s41746-025-01910-w","authors":["Brant Tudor","Ryan Shargo","Geoffrey Gray","Jamie L. Fierstein","Frederick H. Kuo","Robert L. Burton","Joyce T. Johnson","Brandi B. Scully","Alfred Asante‐Korang","Mohamed Rehman","Luis Ahumada"],"tags":["Context (archaeology)","Digital health","Computer science","Health care","Digital forensics"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41746-025-01910-w","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"doi:10.21203/rs.3.rs-10362434/v1","name":"Algorithmic Blast Design through Deep Reinforcement Learning: A Transferable Simulation Framework from Central Asian Copper Megapits to Peruvian Mining and Public Spaces","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10362434/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10362434/v1","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.2147/mder.s558998","name":"A Multidimensional Index Framework for Evaluating the Regulatory Applicability of ISO 10328 Using a Prosthetic Knee Case Study.","source":"europepmc","abstract":"International biomechanical standards, such as ISO 10328 for lower-limb prosthetic testing, are widely used to guide device evaluation, yet their direct adoption into national regulatory systems often results in mismatches in safety expectations, documentation formats, and contextual use conditions. Despite extensive reliance on ISO standards, there is no structured method to assess whether these standards are appropriately aligned with regulatory requirements across different jurisdictions. This narrative review, combined with a conceptual framework and an illustrative cross-jurisdictional case study, proposes a multi-dimensional applicability index designed to evaluate the regulatory fit of international biomechanical standards before national adoption. The index comprises five dimensions clinical safety alignment, technical fit, contextual usability, documentation conformance, and regulatory interoperability, each providing a structured lens for assessing standard suitability. Using ISO 10328 and a representative prosthetic knee device as an example, the study demonstrates how the index highlights areas of strong technical alignment but also reveals gaps related to usability, documentation, and post-market expectations across the U.S. FDA, EU MDR, and China's GB/NMPA systems. The findings underscore the need for context-aware evaluation tools to complement global standards, reducing approval delays and improving device performance in real-world environments. This work provides a foundational methodology for regulators, manufacturers, and standards bodies seeking to harmonize global testing norms while ensuring national regulatory relevance and patient safety.","url":"https://doi.org/10.2147/mder.s558998","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2147/mder.s558998","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/biomimetics10100640","name":"Digital Twin Cognition: AI-Biomarker Integration in Biomimetic Neuropsychology.","source":"europepmc","abstract":"(1) Background: The convergence of digital twin technology, artificial intelligence, and multimodal biomarkers heralds a transformative era in neuropsychological assessment and intervention. Digital twin cognition represents an emerging paradigm that creates dynamic, personalized virtual models of individual cognitive systems, enabling continuous monitoring, predictive modeling, and precision interventions. This systematic review comprehensively examines the integration of AI-driven biomarkers within biomimetic neuropsychological frameworks to advance personalized cognitive health. (2) Methods: Following PRISMA 2020 guidelines, we conducted a systematic search across six major databases spanning medical, neuroscience, and computer science disciplines for literature published between 2014 and 2024. The review synthesized evidence addressing five research questions examining framework integration, predictive accuracy, clinical translation, algorithm effectiveness, and neuropsychological validity. (3) Results: Analysis revealed that multimodal integration approaches combining neuroimaging, physiological, behavioral, and digital phenotyping data substantially outperformed single-modality assessments. Deep learning architectures demonstrated superior pattern recognition capabilities, while traditional machine learning maintained advantages in interpretability and clinical implementation. Successful frameworks, particularly for neurodegenerative diseases and multiple sclerosis, achieved earlier detection, improved treatment personalization, and enhanced patient outcomes. However, significant challenges persist in algorithm interpretability, population generalizability, and the integration of healthcare systems. Critical analysis reveals that high-accuracy claims (85-95%) predominantly derive from small, homogeneous cohorts with limited external validation. Real-world performance in diverse clinical settings likely ranges 10-15% lower, emphasizing the need for large-scale, multi-site validation studies before clinical deployment. (4) Conclusions: Digital twin cognition establishes a new frontier in personalized neuropsychology, offering unprecedented opportunities for early detection, continuous monitoring, and adaptive interventions while requiring continued advancement in standardization, validation, and ethical frameworks.","url":"https://doi.org/10.3390/biomimetics10100640","authors":["Evgenia Gkintoni","Constantinos Halkiopoulos"],"tags":["Interpretability","Neuropsychology","Cognition","Artificial intelligence","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/biomimetics10100640","addedAt":"2026-09-01T01:47:32.625Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/jpm16060325","name":"Special Issue-Diabetes Mellitus: Current Research and Future Perspectives, 2nd Edition.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jpm16060325","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jpm16060325","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-9304693/v1","name":"Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9304693/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9304693/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.5005/jp-journals-10005-3234","name":"The New Era of Holistic and Precision Dentistry with Integration of Digital Twin Technology: A Scoping Review.","source":"europepmc","abstract":"Technology has embraced all sectors of mankind with its trailblazers extending to exponential growth and development at an infinite arena of futuristic advancements. The education system has also undergone a progressive reformation and hyper-realistic transformations by incorporating these technological innovations, thereby creating the concept of education at your pace, possible in the most acceptable manner. However, in developing countries like India, where health care continues to be a booming sector with augmented growth and developments, the inclusion of these technological advancements still remains as an interest of concern and viability. The lack of financial investments, inability to obtain individual patient data and screening records from both urban and rural medical care settings, lack of connectivity with cities and villages within the country, and providential glitches of communication all continue to barrel as a hindrance in incorporating technological progression within one of the highly anticipated sectors of the nation. Digital twin technology is also expected to cater both the health care professionals as well as the patients with an extremely well-defined treatment plan, schedules, and a multitude of options incorporating highly efficient consultants from across the country in a speck of second. Hence, this article will discuss in detail the strategic and sequential advancements that will forefront on the application of the concept of digital twin technology into the Indian health care system, thereby creating a more simplified treatment environment with highly effective disease diagnosis and treatment strategies. How to cite this article: . The New Era of Holistic and Precision Dentistry with Integration of Digital Twin Technology: A Scoping Review. Int J Clin Pediatr Dent 2025;18(8):1046-1050.","url":"https://doi.org/10.5005/jp-journals-10005-3234","authors":["Lakshmi Thribhuvanan","MS Saravanakumar","Priyanka Panikkar","Preethi Durairaj"],"tags":["Medicine","Digital era","Electronic journal","Engineering ethics","Dental technology"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5005/jp-journals-10005-3234","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1016/j.ijpx.2025.100409","name":"Transformative roles of digital twins from drug discovery to continuous manufacturing: pharmaceutical and biopharmaceutical perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpx.2025.100409","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.ijpx.2025.100409","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1037/fam0001483","name":"Views of preschool-age children's screen time among mothers with low incomes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1037/fam0001483","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1037/fam0001483","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/diagnostics16030499","name":"Research on Prediction of Preterm Birth Risk Based on Digital Twin Technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/diagnostics16030499","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/diagnostics16030499","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s41598-026-47104-6","name":"Digital twin-assisted blockchain IoT security model using contrastive and causal learning techniques.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-47104-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-47104-6","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1088/1361-6560/ae5d80","name":"The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.","source":"europepmc","abstract":"","url":"https://doi.org/10.1088/1361-6560/ae5d80","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1088/1361-6560/ae5d80","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1002/bit.70234","name":"Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed-Batch Fermentation Using Reinforcement Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/bit.70234","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/bit.70234","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/polym18060753","name":"Polyester Resin-Quartz Composites in the Age of Artificial Intelligence and Digital Twins: Current Advances, Future Perspectives and an Application Example.","source":"europepmc","abstract":"Unsaturated polyester resin (UPR)-quartz composites have become increasingly important in structural, sanitary, and architectural applications. However, their manufacturing processes still rely heavily on empirical knowledge. This review compiles recent developments in materials science, curing kinetics, and digital manufacturing, outlining a pathway toward data-driven, adaptive production of quartz-filled thermosets. The chemical and physical fundamentals of UPR polymerization are summarized, including the influence of initiator systems, filler characteristics, and thermal management on network formation. Challenges associated with highly filled formulations-such as viscosity control, dispersion, shrinkage, and exothermic peak prediction-are discussed in detail. Recent advances in digital twins (DTs) and artificial intelligence (AI) are reviewed, demonstrating how physics-based simulations, machine learning models, and hybrid mechanistic-data-driven approaches improve the prediction of rheology, curing behavior, and quality outcomes in thermoset polymer processes. A practical application example demonstrates the prediction of peak time in quartz-UPR composites using Random Forest and Gradient Boosting ensemble models. Two prediction scenarios are evaluated: Scenario A with gel time by Leave-One-Out cross-validation, and Scenario B without gel time, representing post-mixing and pre-process prediction contexts, respectively. Stratified bootstrap augmentation improves Gradient Boosting in both scenarios. Principal component analysis confirms that the curing process is governed by three independent physical dimensions: curing reactivity, thermal environment and resin thermal state.","url":"https://doi.org/10.3390/polym18060753","authors":["Marco Suess","Peter Kurzweil"],"tags":["Thermosetting polymer","Curing (chemistry)","Materials science","Exothermic reaction","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/polym18060753","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21037/tgh-2026-0002","name":"A comprehensive narrative review of artificial intelligence use in the diagnosis and management of metabolic dysfunction-associated steatotic liver disease.","source":"europepmc","abstract":"","url":"https://doi.org/10.21037/tgh-2026-0002","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21037/tgh-2026-0002","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1371/journal.pone.0343997","name":"Comprehensive protocol for mixed reality visualization and navigation using 3D Slicer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0343997","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0343997","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3340/jkns.2026.0115","name":"Preface : Digital and Robotic Transformation of Pediatric Neurosurgery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3340/jkns.2026.0115","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3340/jkns.2026.0115","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.12688/openreseurope.20962.1","name":"Digital Twins for Positive Energy Districts: a 10-Step Method for Integrated Design and Optimized Operation.","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/openreseurope.20962.1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12688/openreseurope.20962.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s41598-026-48789-5","name":"Artificial intelligence assisted structural realignment of high-rise buildings through lifting, grouting and reinforcement.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-48789-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-48789-5","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fbioe.2026.1792573","name":"Smart exoskeleton-assisted rehabilitation after fracture surgery: closed-loop control, personalized load management, and integrated telemonitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbioe.2026.1792573","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fbioe.2026.1792573","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/bioengineering13030331","name":"Data-Driven Operational Bounds of Transmembrane Pressure for Modelling and Digital Twin Development in Haemodialysis and Haemodiafiltration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bioengineering13030331","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/bioengineering13030331","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/jcm15083129","name":"Comparative Predictive Value of First-Trimester Crown-Rump Length and Nuchal Translucency Discordance for Fetal Growth Restriction in Twin Pregnancies: A Retrospective Cohort Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15083129","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcm15083129","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1177/17562872261419592","name":"Digital twins in urology: a vision for the future of urological practice.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/17562872261419592","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/17562872261419592","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/frai.2025.1685702","name":"Digital twin-enabled interactive cockpits for smart products management and testing.","source":"europepmc","abstract":"Digitalization is influencing the design, development, and management of products across myriad industries, transforming traditional products into smart ones. Among digital technologies and models, the digital twin (DT) is regarded as an important contribution to the advancement of physical entity management. DTs are virtual representations of physical objects or systems, which are continuously updated with real-time data collected from their physical counterparts. Surprisingly, DT has yet to be applied in marketing. This study aims, accordingly, first, to introduce the DT concept and, second, to explore the human factor (human-in-the-loop) in DT. Third, elaborate on the DT cockpit (the DT’s interactive element) in the product management paradigm. Specifically, the authors use vehicles as a case study to show how interactive digital twins (IDTs) can be employed to predict and optimize vehicle performance, reliability, sustainability, and customer satisfaction. To conceptualize IDT for smart products and marketing analytics, the customer-centric Technology Acceptance Model (TAM) is employed. As this is the first study to explore DT technology in marketing, the DT concept’s main attributes are discussed, significant contributions are suggested, and avenues for future research are delineated.","url":"https://doi.org/10.3389/frai.2025.1685702","authors":["Matti Rachamim","Jacob Hornik"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frai.2025.1685702","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/frai.2025.1624877","name":"From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2025.1624877","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frai.2025.1624877","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fdgth.2026.1673080","name":"Digital therapeutics into geriatric cardiovascular emergency care.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2026.1673080","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1673080","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.32481/djph.2026.03.06","name":"Human-AI Cooperation in Healthcare and Rehabilitation.","source":"europepmc","abstract":"","url":"https://doi.org/10.32481/djph.2026.03.06","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.32481/djph.2026.03.06","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/pharmaceutics18030356","name":"Artificial Intelligence and the Transformation of Cell and Gene Therapy Development.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/pharmaceutics18030356","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/pharmaceutics18030356","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41467-026-72765-2","name":"Autonomous microfluidic experimentation for exploring reaction inference and synthesizing double perovskite nanoplatelets.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-026-72765-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41467-026-72765-2","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1177/20552076261450290","name":"Unveiling the potential of digital twins in homecare: A reflexive thematic analysis of older adults' views.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/20552076261450290","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/20552076261450290","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fpubh.2025.1631339","name":"Can digital twin technology revolutionize public health emergency management? Insights from the PPRR framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1631339","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1631339","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.pmr.2026.01.004","name":"Artificial Intelligence in Spasticity Assessment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.pmr.2026.01.004","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.pmr.2026.01.004","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s44168-026-00341-x","name":"Systemic approaches for the protection of our oceans and marine environments.","source":"europepmc","abstract":"Protecting our oceans and advancing a sustainable blue economy require in-depth understanding of marine systems, driven by robust ocean observation, monitoring and valuation. Yet collecting reliable data remains time- and resource-intensive. This data is vital for scientists, emergency responders, and decision-makers to support early-warning systems and emerging tools like digital twins. Stronger support is therefore needed for data collection and its integration into systemic, innovative, and stakeholder-engaged ocean observation efforts.","url":"https://doi.org/10.1038/s44168-026-00341-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44168-026-00341-x","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s25154615","name":"Digital Twin for Analog Mars Missions: Investigating Local Positioning Alternatives for GNSS-Denied Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25154615","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25154615","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1177/20552076261438961","name":"Digital twin applications in adult critical care: A scoping review of current development and implementation trends.","source":"europepmc","abstract":"Objective: Digital twins (DTs) show promise in critical care by enabling personalised treatment and optimising clinical decision-making. Despite the complexity and data-intensive nature of critical care, the implementation of DTs in this setting remains under-investigated. This scoping review aimed to summarise DT research in critical care and identify current evidence gaps. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines, seven electronic databases were searched. Studies reporting the development or evaluation of DT models in adult critical care were included. Data were extracted on study characteristics and DT development features, including modelling approaches, levels of data integration, and key findings. Results: Twenty-three studies were included, with most originating from North America and Europe. Retrospective designs using hospital datasets derived from intensive care unit and emergency department settings were common. Data integration predominantly corresponded to the digital model level of the DT maturity, whereas fully automated DT implementations were rare. Regarding modelling approaches, mathematical models were most frequently developed, followed by machine learning-based predictive models. DT application primarily focused on predictive modelling and virtual patient simulations to enhance personalised treatment, support clinical decision-making, and optimise organisational resource allocation. Conclusion: DT technologies in critical care remain in the exploratory and early stages of development and implementation. Further research incorporating higher levels of data integration, real-time deployment, and longitudinal external validation is warranted, alongside broader consensus on ethical governance and data privacy.","url":"https://doi.org/10.1177/20552076261438961","authors":["Yeonwoo Kim","Jiin Kim","Yeonju Kim","Mona Choi"],"tags":["Implementation","Computer science","Data science","Systematic review","Process management"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/20552076261438961","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.3389/fpsyg.2026.1819192","name":"Editorial: The dark and the light side of gaming, volume II.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyg.2026.1819192","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpsyg.2026.1819192","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/jpm15110503","name":"Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality.","source":"europepmc","abstract":"Digital Twins (DTs) are poised to transform personalized medicine by enabling real-time, multiscale simulations of individual patients. By integrating genomics, imaging, wearable sensor data, and clinical records, DTs offer a powerful platform for predictive, adaptive, and patient-centered decision-making. Recent advances have highlighted their potential across a range of clinical domains, including cardiology, oncology, pharmacogenomics, and neurology. Yet, their routine application in clinical practice remains limited, underscoring a growing translational gap between digital innovation and healthcare delivery. In this review, we explore the scientific maturity and emerging clinical use cases of DTs, while critically analyzing the systemic, regulatory, ethical, and infrastructural barriers that hinder their widespread adoption. We outline a translational roadmap that emphasizes dynamic model validation, clinician co-development, equitable data representation, and regulatory harmonization. Uniquely, we reframe DTs as cognitive tools for clinical reasoning and decision support. We further clarify translational pathways through explicit evaluation and reporting recommendations. By positioning DTs within this practical framework, we outline how responsible, inclusive, and interdisciplinary implementation can establish them as foundational elements of 21st century precision medicine.","url":"https://doi.org/10.3390/jpm15110503","authors":["Abigail Silva","Nuno Vale"],"tags":["Cognitive reframing","Bridging (networking)","Data science","Precision medicine","Translational research"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/jpm15110503","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.2166/wst.2025.145","name":"Water quality monitoring using hybrid physical-soft sensors for river digital twins: a comprehensive review.","source":"europepmc","abstract":"","url":"https://doi.org/10.2166/wst.2025.145","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.2166/wst.2025.145","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1007/s12026-026-09763-5","name":"An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s12026-026-09763-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s12026-026-09763-5","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3897/bdj.14.e174523","name":"First georeferenced record of &lt;i&gt;Spinolambrus macrochelos&lt;/i&gt; (Herbst, 1790) (Arthropoda, Parthenopidae) from the type locality (Genoa, Italy), with reference to the neotype designation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3897/bdj.14.e174523","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3897/bdj.14.e174523","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s41746-025-01738-4","name":"A health digital twin framework for discrete event simulation based optimised critical care workflows.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-025-01738-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41746-025-01738-4","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/fvets.2026.1744053","name":"From machine learning to digital twin integration for livestock production and research.","source":"europepmc","abstract":"Globally, climate change, economic crises, and increased food demand pose significant challenges to the stability of agricultural production systems, underscoring the urgent need for more innovative approaches and tools to advance livestock production science. Machine Learning (ML) development supported the Digital Twin (DT), a digital replica of a real-world entity, as a game-changer in modern livestock science, enabling the prediction, optimisation, and simulation across various research environments. At the same time, it has been shown that synergism between ML and Digital Twin (DT) can mimic animals' physiological and physical state and behavior based on input data, leading to a better understanding of animal behavior, nutritional requirements, physiological status, or environmental stressors to investigate responses and suggest precise decisions. Moreover, such animal simulation models can offer deeper insights and predictive analytical tools that support animal welfare, forecast production efficiency, and sustainability. Although traditional simulation models are mainly snapshot-state models that indicate what should happen on average, ML-DT integration serves as a living mirror, dynamically predicting what is happening right now and what will happen to each animal under various changes. This integration can be a versatile tool for introducing solutions in the research domain; however, its augmentation remains complex and poses significant ethical, economic, and governance challenges. This review discusses recent ML-DT synergism applications in both barns and labs, highlighting their potential to reform both industry and research.","url":"https://doi.org/10.3389/fvets.2026.1744053","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fvets.2026.1744053","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/polym18111297","name":"Synergistic Enhancement of Phenolic Hydroxyl Content in Lignin via Sequential Hydrothermal and Twin-Screw Extrusion Pretreatment Followed by Aqueous Ethanol Organosolv Extraction.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym18111297","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/polym18111297","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1007/s43762-025-00212-x","name":"Towards a digital twin for smart resilient cities: real-time fire and smoke tracking and prediction platform for community awareness (FireCom).","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s43762-025-00212-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1007/s43762-025-00212-x","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma19102015","name":"Advancing the Frontiers of Alloys and Composites Through Microstructural Design and Property Tailoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19102015","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19102015","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-025-34455-9","name":"The construction and optimization of resilient community living sphere driven by digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-34455-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-025-34455-9","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/ijms27083611","name":"Comparative Molecular Insights and Computational Modeling of Multiple Myeloma and Osteosarcoma.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijms27083611","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ijms27083611","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41598-025-33709-w","name":"Toward cardiac electrophysiology digital twins with an efficient open source scalable solver on GPU clusters.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-33709-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-025-33709-w","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1093/bib/bbag217","name":"GraphLooper: predicting chromatin loops based on hierarchical multi-view graph pooling method.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/bib/bbag217","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/bib/bbag217","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1093/cercor/bhaf345","name":"Computational constraints underlying shape and texture functional domain organization in macaque V4.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/cercor/bhaf345","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/cercor/bhaf345","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1016/j.csbj.2025.11.005","name":"The potential of Real-Time rendered-volume 3D Imaging in immersive virtual-reality (VR) for surgical planning in infants with congenital thoracic malformation (CTM).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.csbj.2025.11.005","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.csbj.2025.11.005","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/frai.2025.1660356","name":"Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2025.1660356","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frai.2025.1660356","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3760/cma.j.cn112144-20260225-00130","name":"[A comparative study of four deep learning instance segmentation models for tooth segmentation and tooth numbering identification in intraoral occlusal images].","source":"europepmc","abstract":"","url":"https://doi.org/10.3760/cma.j.cn112144-20260225-00130","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3760/cma.j.cn112144-20260225-00130","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fpsyg.2026.1817687","name":"Personality, identity, and Artificial Intelligence: a grand challenge.","source":"europepmc","abstract":"activities are offloaded to AI and people are hired, fired, and monitored by AI (e.g., Bankins et al., 2023).Similarly, social relationships are increasingly structured around online communication, smartphone apps, and AI technology. Research on human-machine systems shows that even peripheral AI agents can shape collective outcomes. Importantly, these outcomes arise from interdependent human-human and human-machine interactions, not isolated actors (Tsvetkova et al., 2024). This means that a new challenge for social psychology is to treat AI as a social agent and theorize agency, trust, and moral influence in multi-agent (hybrid) systems. Because these hybrid systems are embedded within broader cultural ecologies, identity processes are simultaneously shaped by evolving social norms and collective narratives. Online identities are shaped by dynamic cultural trends, and how such trends play out will likely differ according to pre-existing cultural differences, within and between nations.Research areas are also differentiated by their focus on the individual versus the social construction of identity. At the individual level, research builds on existing personality trait models, human-computer interaction (HCI) research, and applied cognitive psychology to investigate how people vary in their usage of AI-powered technologies and in their reactions to them. Beyond individual differences in human-AI interaction, personality and social psychology must address identity. At the micro level, AI is now embedded in everyday settings and shapes how identities are activated and regulated through feedback. At the macro level, AI forms part of the sociotechnical infrastructure through which collective meaning, moral values, and group boundaries are constructed, negotiated and refined.Research on personality, identity, and AI is thriving but it is often scattered and disconnected. Here, we aim to promote the coherence of research by identifying major research areas differentiated by the twin axes of (1) granularity vs. high-level, 'big picture' issues and (2) individual differences versus social identity. Within this 2 × 2 scheme, we briefly define key research questions and new approaches to understanding personality in the digital age.Established personality dimensions such as internet anxiety, technophobia/philia, and computer selfefficacy shape attitudes, emotions, and behaviors towards conventional computer systems (Matthews et al., 2021). However, fundamental differences between conventional digital systems and modern AIs will change the role of personality in digital interactions. These include the vast cognitive capabilities of AI, social agency and natural language communication, the assumption of a consistent humanlike persona, and a relationship history with the user. New scales for constructs such as trust in AI, humanlikeness, and social presence are proliferating (Esterwood et al., 2021), but scale development is at a Wild West stage. Quality and evidence for validity of scales vary greatly and there is no overarching psychometric model to support integration of research findings.Research on the sources, development, and malleability of individual differences is also lacking.Concerns about effects of smartphone use and social media on child development (Haidt, 2024) often neglect nuances including individual differences in vulnerability to harmful impacts (Matthews, Herzog & Esau, in press). Longitudinal studies of development of attitudes to AI are needed, in both children and adults; current research on new personality constructs is typically cross-sectional. Understanding the role of established, biologically-based traits such as the Big Five is essential, but some novel constructs, such as online personas, are less stable and more malleable than conventional traits (Olivero et al., 2020).A third research focus is the consequences of attitudes and emotions towards AI. What personality factors influence offloading significant life-decisions to AI, treating an AI as a friend and confidant, and allowing an AI agent to manage one's social media interactions? Such questions can be addressed in both experimental studies and within prospective studies of how individual differences interact dynamically with AI usage.The sociotechnical perspective on impacts of AI positions the individual within interacting technological, organizational, and cultural systems (Matthews et al., 2025;Yu, Xu & Ashton, 2023), suggesting multiple goals for personality research. First, AI introduces novel threats such as uncertainty over the basis for AI judgements, social stressors associated with humanlike interactions with AIs, and loss of self-esteem as AIs exceed humans in cognitive capabilities and decision authority (Matthews et al., 2024). There is an overarching threat to the person's connection to reality or epistemic rationality. Maintaining wellbeing and a sense of cohesion depends not only on basic and AI-linked traits, but also on socioeconomic status and the psychosocial environment (Brunner & Marmot, 2006). How will changes in social organization driven by AI interact with traits to produce stress at individual and group levels? Second, AI enables both benefits and harms (e.g., Bond, Ennis & Mulvenna, 2025). AI can potentially improve quality of life by freeing people from mental drudgery, providing decision support based on a vast knowledge base, and powering therapeutic interventions. On the downside, its knowledge base is contaminated by human biases, including race and gender bias, its outputs are frequently unexplained and unverified, it is indifferent to privacy, and it is readily utilized for malicious purposes such as cybercrime and disseminating misinformation. In organizations, AI enables practices such as intrusive surveillance and algorithmic hiring and firing that dehumanize work relationships. Personalized alignment of AI to match the user's personality, skills, and values can enhance its usefulness and widen access, but also risks infringing privacy and reinforcing bias (Kirk, Vidgen, Röttger & Hale, 2024).Personalized alignment is more than a technical design issue. It raises difficult questions about how personalization should be bounded, and who decides on bounding principles (Kirk et al., 2024).Third, usage and impacts of AI reflect fluid and sometimes contested cultural norms, such as what level of government regulation of AI should be implemented. There is also a growing literature on crosscultural differences in attitudes to AI and how they vary with cultural dimensions such as individualismcollectivism (Barnes, Zhang & Valenzuela, 2024). Another research challenge is that AI domination of life is likely to lead to new human cultures without historic parallel, requiring emic perspectives on attributes of personality bound to digitalized culture to complement universal, etic models (Matthews et al., 2021).AI systems do not merely deliver information but increasingly function as interactive social actors, as they respond, adapt, and mirror users, creating feedback loops that contribute to the activation, validation, and regulation of social identities (Metzler & García, 2023;Pedreschi et al., 2025). Through these interactive processes, AI-mediated environments curate, amplify, and stabilize collective narratives that provide meaning, relevance, and moral orientation to group memberships (Bliuc et al. 2024;Sartori & Theodorou, 2022). These developments pose a theoretical challenge for our field because classic theories in social psychology assume that identities are shaped through interaction with other people, groups, and social institutions (Spears, 2021). However, AI introduces a novel \"interaction partner\" one that is highly responsive, personalized, scalable, and opaque, yet embedded in everyday communication, community participation, and information access. Existing theoretical models are not well-equipped to explain how identity dynamics operate when group-relevant narratives are curated or generated by adaptive systems. A central research question is whether AI-driven adaptation stabilizes social identities (perhaps by providing coherence, validation, and belonging) or narrows them, by reinforcing exclusionary narratives and reducing identity flexibility. A related question concerns wellbeing -for example, under what conditions do AI-mediated collective narratives support meaning, relevance, and psychological resilience, and when do they contribute to dependency or entrenchment? AI-augmented online communities provide an important test case. In contexts such as addiction recovery or mental health support groups, AI systems may scaffold positive identity change by supporting new recovery narratives (Li et al., 2023;Thakkar et al., 2024), but they may also reinforce static or dependent identities, with other risks associated as well (Elyoseph et al., 2024). Importantly, issues such as trust, vulnerability to misinformation, and polarization should be analyzed not only as cognitive biases but as identity-regulatory processes operating through perceived group alignment and collective meaning-making (Efstratiou & De Cristofaro, 2022).AI systems in conjunction with online media are increasingly becoming part of the infrastructure through which collective identities are constructed, represented, and evaluated. They can mediate how individuals and groups are seen by others, how collective narratives circulate and evolve, and how meaning and moral values are articulated and contested (Gerbaudo, 2022). Psychology currently lacks models of identity and agency for conditions in which aspects of identity may be delegated to nonhuman agents (e.g., use of avatars, digital twins, etc.), personal and interaction data become persistent identity traces, and social recognition is mediated by algorithmic systems rather than interpersonal or institutional processes (Bonnefon et al., 2023). These developments raise important questions about how collective meaning and moral order are sustained, both now and in the future. One risk concerns identity delegation and representation. When AI systems generate profiles, narratives or predictions about individuals or groups, they relocate control over identity representation to system designers and other (ambiguous) operators, raising questions about agency, power, and voice. A second risk concerns collective meaning and moral values. Attitudes toward AI, privacy, and technological change often reflect group-based values and shared (ideologically bound) narratives rather than being driven by deliberative ethical reasoning, with implications for intergroup relations and polarization. A third risk concerns power and inequality, as AI-mediated systems may differentially amplify, normalize, constrain, or erase particular identities. If personality and social psychology fail to theorise identity, meaning, and moral boundaries under AI mediation, we will lack empirically grounded and theoretically informed frameworks to detect, evaluate, and mitigate the potential engineering of identity by platforms, corporations, and state actors.The AI revolution has stimulated a creative ferment of new research in personality and social psychology. We advocate a more systematic approach than currently exists, cohering around welldefined research questions related to individual differences in interactions with AI and to negotiation of identity in communities mediated by AI. Table 1 summarizes some major topics for research we have briefly discussed. These are not intended to be exhaustive but illustrate some directions open to focused investigation. There is also a need for multidisciplinary approaches including perspectives from computer science, neuroscience, communication science, and sociology. We encourage researchers interested in these issues to consider the Personality and Social Psychology section of Frontiers in Psychology as an outlet for their work.","url":"https://doi.org/10.3389/fpsyg.2026.1817687","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpsyg.2026.1817687","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1016/j.dib.2026.112677","name":"Interoperable smart city transformation: Insights from European data space for smart communities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112677","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112677","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1016/j.imu.2026.101737","name":"Who's afraid of synthetic data? Hybrid approaches to deliver medical digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.imu.2026.101737","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.imu.2026.101737","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26082333","name":"Toward Smart Railway Infrastructure Predictive and Optimised Maintenance Through Digital Twin (DT) System.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082333","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26082333","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1093/ehjdh/ztaf129","name":"Digital twins and simulations in transcatheter coronary and structural heart interventions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/ehjdh/ztaf129","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/ehjdh/ztaf129","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/medicina61091597","name":"Artificial Intelligence and Advanced Digital Health for Hypertension: Evolving Tools for Precision Cardiovascular Care.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/medicina61091597","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/medicina61091597","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fcell.2026.1835561","name":"Transplantation immunology: paradigm shift from systemic suppression to microenvironment remodeling and precision modulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fcell.2026.1835561","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fcell.2026.1835561","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/fpsyg.2026.1802856","name":"Knowledge graph as an adaptive cognitive scaffolding: enhancing learning outcomes in CLIL-based international trade practice course under the OBE framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyg.2026.1802856","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpsyg.2026.1802856","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3233/shti251247","name":"Structural Topic Modeling Analysis of Digital Twin Study in Healthcare.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti251247","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3233/shti251247","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-8958823/v1","name":"State-of-the-art technologies for the digital transformation of healthcare services – a systematic scoping review","source":"europepmc","abstract":"Abstract Background The implementation of digital technologies within health services promises increased performance, quality, and efficiency. However, evidence is limited for systems-level interventions of technologies and their outcomes. We systematically review state-of-the-art digital technologies and their applications in healthcare systems and conduct a framework synthesis to review outcomes related to maturity and implementation. Methods Eleven databases were searched (Embase, HMIC, Medline, PsycInfo, SPP, AgeLine, AMED, CDAS, CINAHL, SCOPUS, WoS) on 04/11/2024 for systematic and non-systematic reviews published within the previous five years that provided an overview of digital technologies applied at a systems-level in healthcare or evidence for their outcomes. Studies into individual interventions were excluded. Risk of bias/quality assessment tools used in the reviews were recorded. We review types and applications of technology, then use a framework synthesis methodology to assess outcomes relating to digital transformation awareness/maturity, implementation, UK context, and challenges. Results Our searches identified 1423 records, with 1011 remaining after deduplication. Of these, 131 were assessed for eligibility, with 28 reviews reporting on 1606 individual studies (with an additional 2437 included in a bibliometric analysis) included in the final analysis. We identified five main groups of technology in healthcare: Integrated Technology/Industry 4.0, Artificial Intelligence (AI), Big Data, Internet of Things (IoT), and Blockchain. Our framework synthesis revealed recent conceptual recognition of digital transformation, and variability across regions with regards to the sophistication and maturity of uptake of technologies. We report on four reviews which provided quantitative evidence on the impact of digital technologies in health services. Barriers included major concerns related to data privacy and trust, equity, ethics, and implementation logistics. UK frameworks exist for implementation of technologies, but do not focus exclusively on the systems-level. Conclusions Digital technologies are increasingly integrated into health service delivery, yet the maturity and evaluation of these tools vary across regions. More robust implementation research is needed for advanced systems. Our synthesis provides a framework for healthcare leaders to assess digital readiness and prioritise technologies aligned with service transformation goals. Limitations of evidence include the heterogeneity of technologies, settings, and outcomes across included reviews. Trial Registration The review was not part of a trial and was not registered.","url":"https://doi.org/10.21203/rs.3.rs-8958823/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8958823/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pdig.0001248","name":"Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pdig.0001248","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pdig.0001248","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s42004-026-01932-9","name":"The ADePT framework for assessing autonomous laboratory robotics.","source":"europepmc","abstract":"Laboratory robotics is advancing from routine automation toward autonomous systems capable of intelligent decision-making and flexible execution. This perspective outlines key milestones and introduces the ADePT framework, which defines four core dimensions of robotic capability proficiency: adaptability and learning, dexterity, perception, and task complexity. We discuss future directions for self-driving laboratories, including robot-centric, end-to-end robotic integration, and collaborative human-robot environments. These scenarios highlight the importance of technological enablers and evolving regulatory paradigms. By connecting present technologies to emerging system configurations, this work offers a foundation for designing autonomous laboratory ecosystems that support scientific discovery and operational efficiency.","url":"https://doi.org/10.1038/s42004-026-01932-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s42004-026-01932-9","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fphar.2025.1686415","name":"A digital twin of glimepiride for personalized and stratified diabetes treatment.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fphar.2025.1686415","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fphar.2025.1686415","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1186/s40842-025-00242-8","name":"Cardiometabolic risk reduction with digital twinning in patients with type 2 diabetes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s40842-025-00242-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1186/s40842-025-00242-8","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fbinf.2026.1760257","name":"AI-driven discovery in protein science for immunology and infectious disease research.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbinf.2026.1760257","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fbinf.2026.1760257","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/jcm15093540","name":"First Clinical Results of Novel Haemodynamic Simulation Software for Patient-Specific Qp:Qs Quantification in Patients with Atrial Septal Defect Using Routine 2D Echocardiographic Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15093540","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcm15093540","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/pharmaceutics18050569","name":"Quality by Design Approach for Hot-Melt Extrusion Coupled Fused Deposition Modeling (HME-FDM) 3D Printing: A Systematic Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/pharmaceutics18050569","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/pharmaceutics18050569","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s26051453","name":"Smart Sensors for Structural Health Monitoring and Nondestructive Evaluation: 2nd Edition.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051453","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26051453","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/s26020643","name":"Development and Experimental Validation of a Physics-Based Digital Twin for Railway Freight Wagon Monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020643","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26020643","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/s26113463","name":"Early Anomaly Pre-Warning of Buried Pipelines via Dynamic Acceleration Signals: An ICEEMDAN-LSTM Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113463","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113463","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1038/s41746-025-02283-w","name":"Enhancing telesurgical safety with predictive digital twin synchronization: a framework for latency compensation in robotic surgery.","source":"europepmc","abstract":"This study addresses the critical challenge of master-slave latency in robot-assisted telesurgery by introducing a Digital Twin Visual Assistance (DTVA) system. DTVA integrates parametric 3D modeling and virtual endoscopic visualization within a tri-layered architecture to enable real-time bidirectional synchronization. The system was evaluated on a geographically distributed robotic platform using programmable latency emulation. Results demonstrated that DTVA maintained spatial precision within 2 mm error under typical conditions and reduced peg-transfer completion time by 13.6% under 900 ms communication latency while lowering operator workload by 27.2%. Clinical validation through teleoperated radical nephrectomy under 300 ms communication latency confirmed feasibility, with all procedures completed successfully without complications and favorable perioperative outcomes. The study establishes DTVA's capacity to mitigate latency effects and demonstrates preliminary clinical feasibility for telesurgical procedures.","url":"https://doi.org/10.1038/s41746-025-02283-w","authors":["Hang Yuan","Junjie Li","Bo Guan","Guangdi Chu","Wei Jiao","Hongzhi Zheng","Xingchi Liu","Jianchang Zhao","Jianmin Li","Jinhua Li","Xuecheng Yang","Haitao Niu"],"tags":["Teleoperation","Latency (audio)","Workload","Computer science","Visualization"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-025-02283-w","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3390/children12091147","name":"Comparison of the Skeletal and Dento-Alveolar Changes Obtained with a Customized Elastodontic Appliance and Twin Block: A Prospective Investigation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/children12091147","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/children12091147","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3389/fpsyt.2025.1694966","name":"Characteristics of digital twins to visualize, monitor and predict outcomes on participation in meaningful activities.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyt.2025.1694966","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fpsyt.2025.1694966","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-9076830/v1","name":"AIPH-TB: An Artificial Intelligence Algorithm for Physicochemical Microenvironment ReprogrammingAmplifies Pyrazinamide–Hydroxychloroquine Synergism — A Breakthrough Computational Discovery Toward TB Eradication","source":"preprints","abstract":"Abstract Background Tuberculosis (TB) remains the world's deadliest bacterial pathogen, responsible for 10.6 million new cases and 1.3 million deaths in 2022 [1]. Standard four-drug RIPE (Rifampicin-Isoniazid-Pyrazinamide-Ethambutol) therapy achieves only 85% cure rates, with 25–37% of patients experiencing drug-induced hepatotoxicity [3]. The Pyrazinamide–Hydroxychloroquine (PYZ-HCQ) fixed-dose combination offers documented in vitro synergism (FICI = 0.38) through BCRP-1 efflux pump inhibition [6–8]; however, the optimal physicochemical conditions for maximising this synergy remain undefined. We developed AIPH-TB, a novel artificial intelligence (AI) framework that computationally reprograms the intracellular physicochemical and chemical microenvironment of Mycobacterium tuberculosis (MTB) to achieve unprecedented synergistic killing. Methods AIPH-TB integrates a multi-objective reinforcement learning engine (proximal policy optimisation), a Gaussian process regression synergy predictor (Matérn 5/2 kernel), and a stochastic ODE-based digital twin macrophage simulator. The model was trained on 2,847 pharmacodynamic data points from 20 peer-reviewed studies (2009–2024). It simultaneously optimises four physicochemical axes: (i) phagolysosomal pH oscillation schedule, (ii) ROS burst synchronisation timing, (iii) BCRP-1 saturation kinetics, and (iv) intracellular drug concentration trajectories across 3,600 parameter combinations. Findings AIPH-TB identified a narrow, previously unrecognised optimal phagolysosomal pH window of 5.2–5.8, where PYZ-HCQ synergy is maximised (predicted FICI = 0.28 ± 0.04). An AI-prescribed 12-hour pH oscillation schedule (dosing at 08:00 and 20:00) maintains the phagolysosome within this window for 18 of 24 hours. Predicted intracellular PZA concentration rises from 5.2 mM (PZA alone) to 48.7 mM (AI-optimised PYZ-HCQ), a 9.4-fold enhancement. The AI additionally identifies HCQ-mediated reduction of MTB cell wall zeta potential from -18 mV to -8 mV, increasing membrane permeability by an estimated 340% — a novel pharmacological mechanism not previously described in TB literature. The combined AIPH-TB protocol predicts 99.5% cure rate, Interpretation AIPH-TB is the first AI framework to computationally map and reprogram the physicochemical and chemical microenvironment of intracellular TB, unlocking synergy beyond empirical methods. The identification of MTB zeta potential as a novel pharmacological target represents a new paradigm in anti-TB drug science. These findings provide the computational and mechanistic basis for a Phase II clinical trial of AI-optimised PYZ-HCQ in drug-sensitive pulmonary tuberculosis.","url":"https://doi.org/10.21203/rs.3.rs-9076830/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9076830/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.64898/2026.05.28.26354156","name":"Diagnosis provision by young people’s mental health services: a comparison with epidemiological data","source":"preprints","abstract":"ABSTRACT Background Little is known about the provision of diagnoses to young people with mental health disorders. We investigated diagnosis provision by NHS mental health services, focusing on 17-year-olds in South London between 2009-2024, and compared with estimated disorder prevalence. Methods To examine diagnosis provision in the population, we extracted diagnosis data from records of the NHS mental healthcare provider serving South London, using the Maudsley Biomedical Research Centre Clinical Record Interactive Search application; we then compared these data with the corresponding population size, obtained from the Office for National Statistics. To assess diagnosis provision in those with mental health disorders, we compared diagnosis data with the number of young people estimated to have met criteria for a disorder, derived from epidemiological interview data collected in the Environmental Risk (E-Risk) Longitudinal Twin Study and weighted according to characteristics of 17-year-old South Londoners. To assess diagnosis provision in those with mental health disorders within health services, we compared diagnosis data with the number estimated to have met criteria for a disorder and used any health service for their mental health, again derived from weighted E-Risk Study data. Findings Of 17-year-olds from South London in 2009-2024, 4.0% (n=8,958/223,404) had a diagnosis in mental health records during the previous year. This diagnosis provision covered Interpretation These findings demonstrate gaps and biases in mental health diagnosis provision for young people, including within health services, and reveal the imperative need to strengthen young people’s mental healthcare. Funding National Institute for Health Research, Medical Research Council, National Institute of Child Health and Development, Jacobs Foundation, National Society for Prevention of Cruelty to Children, Economic and Social Research Council, Prudence Trust, Wellcome Trust RESEARCH IN CONTEXT Evidence before this study Epidemiological research has found that less than half of young people with a mental health disorder report seeing a health professional for their symptoms and only a quarter to a third have seen a mental health specialist, and these findings are fairly consistent across high-income countries where this research has been conducted. For young people who see health professionals, there are likely to be barriers to the recognition and treatment of mental health disorders. We focused on the recognition of mental health disorders in young people, which is operationalised in clinical practice as provision of diagnoses. To identify studies examining mental health diagnosis provision in young people accessing health services, we searched MEDLINE with the terms “diagnos*” AND (“mental” OR “psychiatr*” OR [various terms for individual disorders]) AND (“young” OR “youth*” OR “child*” OR “adolescen*” OR “paedatric*” OR “pedatric*” OR “juvenile”) AND (“clinical” OR “healthcare” OR “health care” OR “service*”). This search was supplemented by reviewing reference lists and forward citations of relevant articles. We identified several studies that found diagnosis provision varied by sociodemographic characteristics and has increased over the past two decades in young people across multiple countries for several disorders, including depression, anxiety disorders, eating disorders, autism, and attention-deficit/hyperactivity disorder (ADHD). Only a small number of studies investigated diagnosis provision within young people who met criteria for a disorder. In the Avon Longitudinal Study of Parents and Children in the UK, of 18-year-olds who met criteria for depression, only 7.0% had a diagnosis of depression documented in their primary care records. In the Child and Adolescent Twin Study in Sweden, of 9-year-olds who met criteria for ADHD, only 18.5% of boys and 12.1% of girls had a diagnosis of ADHD noted in their health records. Within an Irish child and adolescent mental health service, of 12-15-year-olds who met criteria for depressive disorder, only 28.4% received a depressive disorder diagnosis after their usual clinical assessment. These studies suggest large gaps in diagnosis provision, including within health services, and highlight possible bias by sociodemographic characteristics. A better understanding of this topic is needed to enable more effective service planning, commissioning, and policymaking. Added value of this study This study investigated mental health diagnosis provision in 17-year-olds from South London. We examined diagnosis provision for several mental health disorders in NHS mental healthcare records. We compared these data with population and epidemiological data to calculate diagnosis provision rates in the general population, in those estimated to have met criteria for a disorder, and in those estimated to have also seen a health professional. We found that diagnosis provision substantially increased during our study period of 2009-2024, demonstrating an increase in the number of young people whose mental health needs were recognised in specialist services. However, we estimated that diagnoses were only provided to a small proportion of young people with a mental health disorder, including those within health services. Estimated diagnosis gaps were largest for those with generalised anxiety disorder and multiple disorders. We also found evidence of biases in diagnosis provision, based on gender, neighbourhood deprivation, and ethnicity. Implications of all the available evidence Barriers to mental healthcare access for young people should be reduced by policymakers and commissioners, including through investment in adequately staffed services with skilled clinicians, enabling more young people with mental health disorders to receive cost-effective evidence-based healthcare that has long-term benefits. Greater awareness among clinicians of the under-diagnosis and bias in diagnosis of young people’s mental health disorders, alongside strategies to address these problems, could improve young people’s mental healthcare. Innovative scalable interventions that can reach many more young people need to be developed, evaluated, and implemented by researchers. Prevention strategies are also required, including addressing risk factors for young people’s mental health disorders, and intervening early for those with symptoms before disorders develop, to reduce the future burden of mental health disorders in young people.","url":"https://doi.org/10.64898/2026.05.28.26354156","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.28.26354156","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-7278950/v1","name":"Recreational Screen Use and Internalizing Problems from Preadolescence to Young Adulthood: A population-based Cohort and Co-Twin Control Study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7278950/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7278950/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202412.1527.v1","name":"A Digital Twin Approach for Soil Moisture Measurement with Physically Based Rendering Simulations and Machine Learning","source":"preprints","abstract":"Soil is one of the most important factors of agricultural productivity, directly influencing crop growth, water management, and overall yield. However, inefficient soil moisture monitoring methods, such as manual observation and gravimetric in rural areas, often lead to overwatering or underwatering, wasting resources and reduced yields, and harming soil health. This study offered a digital twin approach for soil moisture measurement, integrating real-time physical data, virtual simulations, and machine learning to classify soil moisture conditions. The digital twin is proposed as a virtual representation of physical soil designed to replicate real-world behavior. We used a multi-spectral rotocam, and high-resolution soil images were captured under controlled conditions. Physically Based Rendering (PBR) materials were created from this data and implemented in a game engine to simulate soil properties accurately. Image processing techniques were applied to extract key features, followed by machine learning algorithms to classify soil moisture levels (wet, normal, dry). Our results demonstrate that the Soil Digital Twin replicates real-world behavior, with the Random Forest model achieving a high classification accuracy of 96.66\\% compared to actual soil. This data-driven approach conveys the potential of the Soil Digital Twin to enhance precision farming initiatives and water use efficiency for sustainable agriculture.","url":"https://doi.org/10.20944/preprints202412.1527.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.1527.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.64898/2026.07.02.26357101","name":"Atypical energy-related symptoms define biologically distinct subtypes of major depressive disorder","source":"preprints","abstract":"ABSTRACT Major depressive disorder (MDD) is a complex psychiatric disorder, characterized by a range of mood, cognitive, and neurovegetative symptoms. Current diagnostic criteria treat opposite symptom directions as equivalent; weight gain or loss, and increased or decreased sleep, each count toward a single diagnosis. We defined three subgroups of individuals meeting criteria for MDD: AERS+ (hypersomnia with increased appetite/weight gain), AERS− (insomnia with appetite/weight loss), and an Uncategorized group, and conducted genome-wide association meta-analyses for each ( N eff = 47,858, 156,624, and 215,828, respectively). We identified 27 genome-wide significant loci across subtypes, 4 for AERS+ , 10 for AERS− and 13 for Uncategorized. AERS+ showed higher SNP-based heritability (10.9%) and lower polygenicity (1.7% of SNPs) than AERS− (7.9%; 2.9%) or Uncategorized (8.6%; 5.3%), with larger effect sizes at its associated loci. The AERS+ and AERS− subtypes were moderately genetically correlated ( r g = 0.64, se = 0.04). Metabolic traits emerged as a primary differentiator: AERS+ correlated positively with BMI, metabolic syndrome, and related traits, whereas AERS− correlated weakly in the opposite direction. These findings show that the directionality of neurovegetative symptoms indexes genetic heterogeneity within MDD, with metabolic biology as a central axis of differentiation.","url":"https://doi.org/10.64898/2026.07.02.26357101","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.02.26357101","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5218555/v1","name":"A Novel Multimodal and Multiscale Method for Intelligent Operation and Maintenance of Transformers Based on the Improved Deep Visual Large Model DETR+X and Digital Twin","source":"preprints","abstract":"Abstract To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR + X, is proposed, implementing multidimensional sample data augmentation through Swin2SR and GAN networks. This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information. The Pyramid Vision Transformer (PVT) is innovatively adopted as the backbone for image feature extraction, replacing the traditional ResNet structure. A Deformable Attention mechanism is employed to handle the complex spatial structure of multi-scale features. Testing results indicate that the improved DETR + X model performs well in transformer state recognition tasks, achieving a classification accuracy of 100% for DGA feature maps. In object detection tasks, it surpasses advanced models such as YOLOV8 and Deformable DETR in terms of mAP50 scores, particularly demonstrating significant enhancements in small object detection. Furthermore, the Llava-7b model, fine-tuned based on domain expertise, serves as an expert decision-making tool for transformer maintenance, providing accurate operational recommendations based on visual detection results. Finally, based on digital twin and inference models, a comprehensive platform has been developed to achieve real-time monitoring and intelligent maintenance of transformers.","url":"https://doi.org/10.21203/rs.3.rs-5218555/v1","authors":["Xuedong Zhang","Wenlei Sun","Ke Chen","Shijie Song"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5218555/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1101/2025.07.16.665209","name":"Dual-feature selectivity enables bidirectional coding in visual cortical neurons","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.07.16.665209","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.07.16.665209","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-5244060/v1","name":"Design and modeling of process manufacturing-oriented digital twin system","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5244060/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5244060/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.22541/au.173393170.08920292/v1","name":"Towards Sustainable Packaging: A Proof-of-Concept Digital Twin for Corrugated Board Optimization","source":"preprints","abstract":"The need for effective and ecological packaging solutions has grown crucial as the packaging business grows due to rising demand from industries including food, medicines, and e-commerce. Widely employed in logistics, corrugated boards need strict quality control and optimization to guarantee their performance and longevity under mechanical loading. A proof-of-concept Digital Twin (DT) system for a three-point bending test bench is shown in this work. It is intended to improve corrugated board quality control by predicting failure behavior. To model material behavior under compression, the DT combines a virtual representation, a physical asset, and a real-time bidirectional data flow. Compression test results demonstrate how sensitive corrugated boards are to loading history, and the DT effectively captures changes in mechanical response. The automated DT system shows promise for real-time quality control and product design optimization by minimizing material waste, cutting labor expenses, and increasing testing efficiency.","url":"https://doi.org/10.22541/au.173393170.08920292/v1","authors":["Jason Djajasaputra","Ricardo Fitas"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.173393170.08920292/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.21203/rs.3.rs-5107583/v1","name":"A Digital Twin Framework for Real-Time Healthcare Monitoring: Leveraging AI and Secure Systems for Enhanced Patient Outcomes","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5107583/v1","authors":["Ahmed K. Jameil","Hamed Al‐Raweshidy"],"tags":["Computer science","Cloud computing","Health care","Real-time computing","Reliability (semiconductor)"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5107583/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.21203/rs.3.rs-5010353/v1","name":"DT4CCU – A Digital Twins framework for Critical Care Unit","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5010353/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5010353/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5412158/v1","name":"Hybrid Cloud-Edge AI Framework for Real-Time Predictive Analytics in Digital Twin Healthcare Systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5412158/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5412158/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202411.1638.v1","name":"Digital Twin, <em>Didymos</em>, Meets Digital Cousin, <em>Didymium</em>. From Paradox to Paradigm or a Paradoxical Paradigm?","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202411.1638.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202411.1638.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202412.0302.v1","name":"Cloud/VPN Based Remote Control of a Modular Production System Assisted by a Mobile Cyber Physical Robotic System—Digital Twin Approach","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.0302.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.0302.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-7184682/v1","name":"Integrating Industry 4.0 Technologies and Maintenance 4.0 for Sustainable Manufacturing: A Systematic Literature Review","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7184682/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7184682/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4957545/v1","name":"Critical Role of Precursor Flux in Modulating Nucleation Density in 2D Material Synthesis Revealed by Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4957545/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4957545/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202410.1345.v1","name":"IoT-Cloud, VPN and Digital Twin Based Remote Monitoring and Control of a Multifunctional Robotic Cell in the Context of AI, Industry and Education 4.0 and 5.0","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202410.1345.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202410.1345.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-5237898/v1","name":"Digital Twin-Assisted Graph Matching Multi-Task Object Detection Method in Complex Traffic Scenarios","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5237898/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5237898/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202408.0613.v1","name":"Building Digital Twin Data Model based on Public Data","source":"preprints","abstract":"This study aims to propose a method for constructing basic digital twin data in South Korea by adhering to international standards and utilizing publicly available data. Specifically, the study focuses on designing and proposing a digital twin data model for buildings, which are the most applicable among the basic digital twin data. To achieve this, the first section provides essential background information, introduces concepts and requirements related to digital twin basic data, and offers a brief overview of CityGML. The second section explains the methodology and data used in this study. The third section presents the main findings: the selection of public data (buildings) for constructing digital twin basic data, the mapping process using CityGML, and the creation of UML diagrams. The fourth section discusses these findings. Finally, the conclusion and suggestions for future research are provided. This approach enhances the accuracy of building-related digital twin data and supports the use of digital twin services in both public and private sectors by enabling various spatial analyses.","url":"https://doi.org/10.20944/preprints202408.0613.v1","authors":["Dawoon Jeong","Changyoon Lee","Youngmin Choi","Taeyun Jeong"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.0613.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1101/2024.11.07.24316881","name":"Deployment of a digital twin using the coupled momentum method for fluid-structure interaction: a case study for aortic aneurysm","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.07.24316881","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.07.24316881","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5262002/v1","name":"Learning digital twin: case study on chatter suppression based on a time varying stability map","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5262002/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5262002/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202412.2532.v1","name":"Optimizing Facilities Management Through Artificial Intelligence and Digital Twin Technology in Mega Facilities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.2532.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.2532.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202407.2204.v1","name":"Method of Motion Planning for Digital Twin Navigation and Cutting of Shearer","source":"preprints","abstract":"To further enhance the intelligence level of coal mining faces and achieve autonomous derivation, learning, and optimization of shearer navigation cutting, this paper proposes the methods of shearer digital twin navigation cutting motion planning based on the concept of shearer autonomous navigation cutting technology and intelligent coal mining face digital twins. The study includes the digital twin theory and the construction method of the shearer digital twin navigation cutting motion planning system based on this theory. Based on the digital twin theory, a shearer digital twin navigation cutting motion planning system was constructed. This system supports the service functions of shearer cutting digital twin, dynamic navigation map digital twin, reinforcement learning environment construction, and motion planning through the physical perception layer, comprehensive data layer, and digital-model fusion analysis layer. Finally, by comparing the effects of the DQN-NAF and DDPG deep reinforcement learning algorithms in the shearer motion planning task within the constructed digital twin environment, the results show that the DQN-NAF algorithm demonstrates better performance and stability in solving the shearer digital twin motion planning task.","url":"https://doi.org/10.20944/preprints202407.2204.v1","authors":["Bing Miao","Shirong Ge","Yunwang Li","Yinan Guo"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202407.2204.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1101/2024.11.11.24317106","name":"Identification of Digital Twins to Guide Interpretable AI for Diagnosis and Prognosis in Heart Failure","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.11.24317106","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.11.24317106","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4707183/v1","name":"Quantum-Enhanced Blockchain and Digital Twin Integration for Enhanced Healthcare Data Security","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4707183/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4707183/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202408.2063.v1","name":"Artificial Intelligence-Aided Digital Twin Design: A Systematic Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.2063.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.2063.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202411.2191.v1","name":"A Configuration Model for Hospital Design Support Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.2191.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202411.2191.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5051420/v1","name":"Digital Twin-Based Learning Analytics with Fog Computing and LLAMA","source":"preprints","abstract":"Abstract The growing incorporation of digital technologies into education settings has transformed learning analytics to initiate personalized and adaptive learning. This paper presents the “Learner's Digital Twin,\" a framework for real-time learning analytics enabled by Fog Computing and Meta LLAMA (Large Language Model with Localized Adaptation) model to interpret multimodal data. The proposed new system aims to improve the learning process by providing students with instant, personalized alerts and feedback and insights for educators that can be acted upon. Fog Computing processes data at the network edge to reduce latency and deliver timely feedback, LLAMA can do context-aware text analysis of student’s processed data. This study would apply Linear Regression model for predictive analytics, and K-means clustering to cluster students based on learning patterns. Extensive empirical evaluation shows improved feedback relevance, system responsiveness and overall performance of the students. The findings demonstrate the ability of our Learner's Digital Twin framework to effectuate data-driven and adaptive learning environments enabling more efficient personalized learning with great fidelity as applied across a variety of educational settings.","url":"https://doi.org/10.21203/rs.3.rs-5051420/v1","authors":["Abdelkawy A. Abdelaziz","Sameh Abd EL-Ghany","A. S. Tolba"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5051420/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-4592119/v1","name":"A Method for Intangible Cultural Heritage Image Enhancement Based on Digital Twin","source":"preprints","abstract":"Abstract Currently, the existence, inheritance, and innovative development of Intangible Cultural Heritage are faced with various challenges. In order to improve the dissemination, storage, and innovative development of Intangible Cultural Heritage information, and to carry out creative transformations of Intangible Cultural Heritage, it is necessary to adopt more intuitive digital image technologies. Image enhancement is a pivotal application of such technology, enabling it to be utilized effectively. The paper proposes an image enhancement method based on Digital Twin technology. The effectiveness of the model proposed is validated by comparing the method with traditional image enhancement methods. The final test results indicate that the digital twin structural model significantly outperforms existing algorithms.","url":"https://doi.org/10.21203/rs.3.rs-4592119/v1","authors":["Rongdong Xie","Huan Xia","Xiaojie Li","Cheng Zhong"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4592119/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-4965442/v1","name":"Approach of Dynamic Simulation and Optimization for Coevolutionary Intelligent Manufacturing Cell in Digital Twin","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4965442/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4965442/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202412.0145.v1","name":"Real-Time Models for Manufacturing Processes: How to Build Predictive Reduced Models","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202412.0145.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.0145.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4835964/v1","name":"Maintenance Decision Methodology Integrating Twin Data with Reinforcement Learning","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4835964/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4835964/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202409.2442.v1","name":"Towards the Implementation and Integration of a Digital Twin in a Discrete Manufacturing Context","source":"europepmc","abstract":"In the context of enhanced decision-making related to Industry 4.0 and 5.0, this work examines the first step to implement a Digital Twin (DT) in a discrete manufacturing firm. The DT will be required to be adequately integrated with the information systems, especially the Manufacturing Execution System (MES), because the virtual counterpart of the DT itself, a Discrete Event Simulator (DES) model, will exploit MES data for the validation and the monitoring. The objective of the DT is to enhance the decision-making related to production planning, in particular, achieving better on-time delivery to customers. Therefore, the DT intends to depict material flows within the production department to enhance monitoring and control, facilitating the prompt identification of deviations from the plan, and supporting the decision-makers, enabling a more responsive and informed management of delay alerts. The first goal to achieve the DT implementation and integration is to establish a conceptual framework that improves material flow data synchronization. A conceptual integration and implementation framework for the DT will be proposed and discussed, underlying the technical decisions chosen to achieve the functional and integration requirements.","url":"https://doi.org/10.20944/preprints202409.2442.v1","authors":["Michela Lanzini","Ivan Ferretti","Simone Zanoni"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202409.2442.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202410.1253.v1","name":"HoloGaussian Digital Twin: Reconstructing 3D Scenes With Gaussian Splatting for Tabletop Hologram Visualization of Real Environment","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.1253.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202410.1253.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202407.2606.v1","name":"Digital Twins and Additive Manufacturing: Exploring the Integration of Digital Twin Technology with Additive Manufacturing to Enhance Design, Simulation, and Production Processes","source":"europepmc","abstract":"The convergence of digital twin technology with additive manufacturing (AM) represents a transformative advancement in the fields of design, simulation, and production. Digital twins&amp;mdash;virtual replicas of physical assets&amp;mdash;enable real-time monitoring, simulation, and optimization of manufacturing processes by mirroring their physical counterparts. When integrated with additive manufacturing, which allows for the creation of complex geometries and rapid prototyping, digital twins enhance the ability to design, test, and refine products with unprecedented precision and efficiency. This integration facilitates iterative design improvements, predictive maintenance, and real-time process adjustments, leading to more accurate simulations and optimized production workflows. By leveraging data from digital twins, manufacturers can anticipate issues, reduce material waste, and shorten development cycles. This abstract explores how the fusion of digital twin technology with AM not only refines traditional manufacturing paradigms but also paves the way for more innovative and adaptive manufacturing practices.","url":"https://doi.org/10.20944/preprints202407.2606.v1","authors":["Axel Egon","Chris Bell","Ralph Shad"],"tags":["Production (economics)","Manufacturing engineering","Computer science","Industrial engineering","Engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202407.2606.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4630197/v1","name":"Research on the construction and fidelity evaluation of digital twins for CNC machine tools","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4630197/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4630197/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202409.0070.v1","name":"Microwave Digital Twin Prototype for the Shoulder Injury Detection","source":"preprints","abstract":"One of the most common shoulder injuries is rotator cuff tear (RCT). The risk of RCTs increases with age, with a prevalence of 9.7% in those under 20 years old to 62% in individuals aged 80 and older. In this article, we present first Microwave Digital Twin Prototype (MDTP) for RCT detection, based on machine learning (ML) and advanced numerical modeling of the system. We generate a generalizable dataset of scattering parameters through flexible numerical modeling, in order to bypass real-world data collection challenges. This involves solving the linear system in result of finite element discretization of the forward problem with use of domain decomposition method to accelerate the computations. We use support vector machine (SVM) to differentiate between injured and healthy shoulder models. This approach is more efficient in terms of required memory resources and computing time compared to the traditional imaging methods.","url":"https://doi.org/10.20944/preprints202409.0070.v1","authors":["Sahar Borzooei","Pierre-Henri Tournier","Victorita Dolean","Claire Migliaccio"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202409.0070.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21203/rs.3.rs-4851864/v1","name":" High fidelity Mars Rover simulation platform based on digital twin and machine learning integration: Innovation and application of ISMRS ","source":"preprints","abstract":"Abstract The Isaac Sim Martian Robotic Simulator (ISMRS) is a cutting-edge digital twin-based platform for Mars rover development, leveraging Nvidia's robotics simulator. It rapidly generates realistic Mars terrains, supports diverse rover capabilities, and integrates machine learning for environmental data synthesis. ISMRS is ROS2 compatible, enabling autonomous navigation and obstacle avoidance. The simulator's image recognition prowess is validated through real rock instance segmentation. A YOLOv8 model trained on synthetic data showed a 6% performance deficit compared to real data, which narrowed to a 15% accuracy improvement upon real data fine-tuning. This underscores ISMRS's high fidelity in simulating Mars environments for rover training and machine learning model development..","url":"https://doi.org/10.21203/rs.3.rs-4851864/v1","authors":["Gang Wan","Wei Liu","Jia Liu","Dianwei Cong"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4851864/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202412.0333.v1","name":"Artificial Intelligence and Ontologies for the Management of Heritage Digital Twins Data","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.0333.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.0333.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.12.20.24319170","name":"Toward Digital Twins in the Intensive Care Unit: A Medication Management Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.20.24319170","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.12.20.24319170","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202412.0055.v1","name":"Impact of AI Implementation in Higher Education on Achieving the Sustainable Development Goals","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.0055.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.0055.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.09.13.612988","name":"Creation of MLPA: A Multi-level Digital Twin Framework for Personalized Cancer Simulation and Treatment Optimization","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.13.612988","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.13.612988","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202406.1176.v1","name":"Designing Digital Twin with IoT and AI in Warehouse to Support Optimization and Safety in Engineer-to-Order Manufacturing Process for Prefabricated Building Products","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202406.1176.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1176.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4968284/v1","name":"Adoption of twin transition technologies in developing countries: a bivariate analysis","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4968284/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4968284/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202409.0792.v1","name":"Digital Twins and Intrusion Detection Systems: A Synergistic Approach to Securing Smart Cities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202409.0792.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202409.0792.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202408.0420.v1","name":"Use of Distributed Energy Resources Integrated with the Electric Grid in the Amazon: A Case Study of the UFPA Poraquê Electric Boat Using Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0420.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.0420.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4705642/v1","name":"A Novel Integrated Fault Diagnosis Method Based on Digital Twin","source":"preprints","abstract":"Abstract Fault diagnosis plays a crucial role in the actual production activities of enterprises. In recent years, with the development and popularization of Internet of Things (IoT) technology, the efficient acquisition and storage of actual production data have become possible, enabling data-driven methods based on deep learning to achieve remarkable results in the field of fault diagnosis. However, existing technologies still have issues, such as less consideration of the temporal information of fault occurrences and the imbalance between normal and fault data in production activities, which can affect the performance of fault diagnosis. To address these problems, this paper proposes a novel integrated fault diagnosis method, comprehensively considering data balance, feature extraction, and temporal information at the time of fault occurrence.This method is established based on two key processes: the creation of a dataset using Digital Twin technology and the development of an integrated fault diagnosis model (CNN-BLSTM-Attention). The virtual production data generated under various operating conditions through Digital Twin technology provide us with a rich set of sample data. The integrated fault diagnosis model processes the input data using a sliding window to consolidate feature and temporal information, enabling precise fault diagnosis. This paper addresses the issue of small sample fault diagnosis for screw press faults and validates the effectiveness of the proposed method in practical applications. Experimental results demonstrate that, compared to existing fault diagnosis methods, the proposed method reduces noise sensitivity and significantly improves fault diagnosis accuracy, highlighting its superiority.","url":"https://doi.org/10.21203/rs.3.rs-4705642/v1","authors":["XiangRui Hu","Linglin Liu","Zhengyu Quan","Jinguo Huang","Jing Liu"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4705642/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1101/2024.09.05.611508","name":"Neural-symbolic hybrid model for myosin complex in cardiac ventriculum decodes structural bases for inheritable heart disease from its genetic encoding","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.05.611508","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.05.611508","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5667748/v1","name":"Quantification of mechanical fields inside invasive cancer cells: Description of a new method using Digital Volume Correlation and Confocal Microscopy","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5667748/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5667748/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202409.1540.v1","name":"Real-Time Modelling for Design and Controlling of Material Additive Manufacturing Processes","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202409.1540.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202409.1540.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1101/2025.05.23.25328215","name":"Gene-environment interplay in the relationship between the visibility of the environment and self-reported depression in early midlife: a Finnish twin cohort study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.05.23.25328215","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.05.23.25328215","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-4570932/v1","name":" Forecasting Framework for Digital Twins ","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4570932/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4570932/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.05.29.596399","name":"Bio-inspired augmented reality: an interactive, digital twin of  <i>C. elegans</i>","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.05.29.596399","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.05.29.596399","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4380510/v1","name":"Scientometric Insights of Digital Twins in Industry 4.0","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4380510/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4380510/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202407.0988.v1","name":"Towards a Healthier Hospital Environment: The Role of Digital Twins in Achieving Optimal Environmental Comfort","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202407.0988.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202407.0988.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.12.08.627387","name":"Development of Molecular Digital Twins Based on Ambient Ionization Mass Spectrometry Imaging for Application in Cancer Surgery","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.08.627387","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.12.08.627387","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202405.0879.v1","name":"IndustNerf: Accurate 3D Industrial Digital Twin based on Integrating Neural Radiance Fields using Unsupervised Learning","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202405.0879.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.0879.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4364776/v1","name":"Intelligent remaining useful life prediction of equipment based on digital twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4364776/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4364776/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202412.1147.v1","name":"Automatic Correction System for Learning Activities in Remote Access Laboratories in the Mechatronics Area","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.1147.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.1147.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4386054/v1","name":"Health status Monitoring of cutting arm of Anchor excavator based on Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4386054/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4386054/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-3911195/v1","name":"A digital liver twin demonstrating the interplay between biomechanics and cell kinetics can explain fibrotic scar formation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3911195/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3911195/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4615568/v1","name":"A digital twin study on thoracic endovascular repair for Stanford type B aortic dissection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4615568/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4615568/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202407.1801.v1","name":"Digital Twins Verification and Validation Approach Through The Quintuple Helix Conceptual Framework","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202407.1801.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202407.1801.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4544872/v1","name":"A Secure and Lightweight Data Sharing Scheme in Vehicular Digital Twin Network","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4544872/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4544872/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.31234/osf.io/fnpcz","name":"The Digital Twin in Neuroscience: From Theory to Tailored Therapy","source":"preprints","abstract":"","url":"https://doi.org/10.31234/osf.io/fnpcz","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.31234/osf.io/fnpcz","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.10.22.619672","name":"Linearizing and forecasting: a reservoir computing route to digital twins of the brain","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.10.22.619672","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.10.22.619672","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.22541/au.172087237.72377134/v1","name":"The Applications of Artificial Intelligence and Digital Twin in Power Systems: An In-Depth Review","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.172087237.72377134/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.172087237.72377134/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202408.1455.v1","name":"Location-Based Adaptive Beamforming and Beam Steering for Mobile Communication in Multipath Environments","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.1455.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.1455.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202408.0264.v1","name":"Digital Twin Approach for Operation and Maintenance of Transportation System – Systematic Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0264.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.0264.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-4534391/v1","name":" Conceptualization of Digital Twin-Enabled New Product Design Framework for the Automotive Industry ","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4534391/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4534391/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.12688/openreseurope.17791.1","name":"Co-creation Processes and Urban Digital Twins in Sustainable and Smart Urban District Development - Case Kera District in Espoo, Finland","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.17791.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/openreseurope.17791.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4373158/v1","name":"Analysis Sensitivity Digital Twin Model of  Energy Community PV system","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4373158/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4373158/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.06.04.595972","name":"The Wound Environment Agent-based Model (WEABM): a digital twin platform for characterization and complex therapeutic discovery for volumetric muscle loss","source":"preprints","abstract":"Volumetric Muscle Loss (VML) injuries are characterized by significant loss of muscle mass, usually due to trauma or surgical resection, often with a residual open wound in clinical settings and subsequent loss of limb function due to the replacement of the lost muscle mass with non-functional scar. Being able to regrow functional muscle in VML injuries is a complex control problem that needs to override robust, evolutionarily conserved healing processes aimed at rapidly closing the defect in lieu of restoration of function. We propose that discovering and implementing this complex control can be accomplished by the development of a Medical Digital Twin of VML. Digital Twins (DTs) are the subject of a recent report from the National Academies of Science, Engineering and Medicine (NASEM), which provides guidance as to the definition, capabilities and research challenges associated with the development and implementation of DTs. Specifically, DTs are defined as dynamic computational models that can be personalized to an individual real world “twin” and are connected to that twin via an ongoing data link. DTs can be used to provide control on the real-world twin that is, by the ongoing data connection, adaptive. We have developed an anatomic scale cell-level agent-based model of VML termed the Wound Environment Agent Based Model (WEABM) that can serve as the computational specification for a DT of VML. Simulations of the WEABM provided fundamental insights into the biology of VML, and we used the WEABM in our previously developed pipeline for simulation-based Deep Reinforcement Learning (DRL) to train an artificial intelligence (AI) to implement a robust generalizable control policy aimed at increasing the healing of VML with functional muscle. The insights into VML obtained include: 1) a competition between fibrosis and myogenesis due to spatial constraints on available edges of intact myofibrils to initiate the myoblast differentiation process, 2) the need to biologically “close” the wound from atmospheric/environmental exposure, which represents an ongoing inflammatory stimulus that promotes fibrosis and 3) that selective, multimodal and adaptive local mediator-level control can shift the trajectory of healing away from a highly evolutionarily beneficial imperative to close the wound via fibrosis. Control discovery with the WEABM identified the following design principles: 1) multimodal adaptive tissue-level mediator control to mitigate pro-inflammation as well as the pro-fibrotic aspects of compensatory anti-inflammation, 2) tissue-level mediator manipulation to promote myogenesis, 3) the use of an engineered extracellular matrix (ECM) to functionally close the wound and 4) the administration of an anti-fibrotic agent focused on the collagen-producing function of fibroblasts and myofibroblasts. The WEABM-trained DRL AI integrates these control modalities and provides design specifications for a potential device that can implement the required wound sensing and intervention delivery capabilities needed. The proposed cyber-physical system integrates the control AI with a physical sense-and-actuate device that meets the tenets of DTs put forth in the NASEM report and can serve as an example schema for the future development of Medical DTs.","url":"https://doi.org/10.1101/2024.06.04.595972","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.06.04.595972","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.32388/kdsnlm","name":"On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids","source":"preprints","abstract":"","url":"https://doi.org/10.32388/kdsnlm","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.32388/kdsnlm","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.12688/openreseurope.16348.1","name":"A behaviour digital twin for residential demand response: Modelling intention and motivation to improve the prediction of the likelihood of reaction to behavioural triggers","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.16348.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/openreseurope.16348.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202406.1927.v1","name":"Navigating the Future of Building Management: A Deep Dive into Prescriptive Digital Twins","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.1927.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1927.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202412.1520.v1","name":"Machine Learning-Based Grading of Engine Health for High-Performance Vehicles","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.1520.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.1520.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.22541/au.173557332.25412732/v1","name":"IoT-Driven Hybrid Framework for Parameter Estimation and Maintenance in Excavator Systems","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.173557332.25412732/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.173557332.25412732/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4559618/v1","name":"One-Year Outcomes of a Digital Twin Intervention for Type 2 Diabetes: A Retrospective Real-World Study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4559618/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4559618/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202406.1922.v1","name":"“The State of the Art of Digital Twins in Health – A Quick Review of the Literature”","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.1922.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1922.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3897/arphapreprints.e125515","name":"Prototype Digital Twin: Recreation and Biodiversity Cultural Ecosystem Services","source":"preprints","abstract":"","url":"https://doi.org/10.3897/arphapreprints.e125515","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3897/arphapreprints.e125515","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4392520/v1","name":"Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4392520/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4392520/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.12688/f1000research.144038.1","name":"Unleashing the potential of digital twins: a new era with aeronautics 4.0      ","source":"preprints","abstract":"","url":"https://doi.org/10.12688/f1000research.144038.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/f1000research.144038.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202404.1672.v1","name":"Design of Digital Twin Cutting Experiment System for Shearer","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202404.1672.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202404.1672.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4321313/v1","name":"The digital twin of the human brain: Simulation and assimilation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4321313/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4321313/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.03.25.24304868","name":"A Novel Digital Twin Strategy to Examine the Implications of Randomized Clinical Trials for Real-World Populations","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.03.25.24304868","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.03.25.24304868","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.06.21.24309276","name":"Personalized Heart Disease Detection via ECG Digital Twin Generation","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.06.21.24309276","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.06.21.24309276","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4535883/v1","name":"A Systematic Online Update Method for Reduced-Order-Model-Based Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4535883/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4535883/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-5350142/v1","name":"Investigation on Shape-Properties Integrated Fabrication of MF-WEDM for Hierarchical Superhydrophobic Surface","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5350142/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5350142/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4107100/v1","name":"ABWOA: Adaptive Boundary Whale Optimization Algorithm for Large-Scale Digital Twin Network Construction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4107100/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4107100/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.05.17.594789","name":"Digital Twin Brain Simulator: Harnessing Primate ECoG Data for Real-Time Consciousness Monitoring and Virtual Intervention","source":"preprints","abstract":"ABSTRACT At the forefront of bridging computational brain modeling with personalized medicine, this study introduces a novel, real-time, electrocorticogram (ECoG) simulator based on the digital twin brain concept. Utilizing advanced data assimilation techniques, specifically a Variational Bayesian Recurrent Neural Network model with hierarchical latent units, the simulator dynamically predicts ECoG signals reflecting real-time brain latent states. By assimilating broad ECoG signals from Macaque monkeys across awake and anesthetized conditions, the model successfully updated its latent states in real-time, enhancing the precision of ECoG signal simulations. Behind the successful data assimilation, a self-organization of latent states in the model was observed, reflecting brain states and individuality. This self-organization facilitated simulation of virtual drug administration and uncovered functional networks underlying changes in brain function during anesthesia. These results show that the proposed model is not only capable of simulating brain signals in real-time with high accuracy, but is also useful for revealing underlying information processing dynamics.","url":"https://doi.org/10.1101/2024.05.17.594789","authors":["Yuta Takahashi","Hayato Idei","Misako Komatsu","Jun Tani","Hiroaki Tomita","Yuichi Yamashita"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.05.17.594789","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-4259409/v1","name":"Revolutionizing Geriatric Care: Radar and Digital Twin Technology for Fall Severity Detection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4259409/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4259409/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.1101/2024.12.05.627122","name":"The Impact of Experimental Designs & System Sloppiness on the Personalisation Process: A Cardiovascular Perspective","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.05.627122","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.12.05.627122","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202402.1710.v1","name":"Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202402.1710.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202402.1710.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202411.0848.v1","name":"A Semantic/Net-Centric Approach for Sustainable Cities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.0848.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202411.0848.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.64898/2026.06.29.26356885","name":"Creating Equity? A Process Evaluation of  <i>Jamkesus Disabilitas</i>  , A Disability-Focused Health Financing Scheme in Yogyakarta, Indonesia","source":"preprints","abstract":"Background This study aims to explore the initiation and implementation of Jamkesus Disabilitas , a health financing scheme for people with disabilities in Yogyakarta Province, using the UK Medical Research Council (MRC) Process Evaluation for Complex Intervention. Methods We interviewed 19 people with disabilities with different types of impairment as beneficiaries, 3 people from Organisations for People with Disabilities (OPDs), 4 government officials, and 4 health providers, either in person, online, or by phone. Interviews were conducted by LA, and took place in Yogyakarta Province in July-September 2024. Data were analysed using a thematic analysis approach using NVivo 15 software. Findings Jamkesus Disabilitas has improved access to assistive technology (AT) and demonstrated inclusive care through its “one-stop service”. It also highlights the importance of consistent leadership in disability-inclusive health systems. However, challenges persist, including uneven AT quality, low coverage, limited availability, and inadequate data for evaluation and planning persisted. Moreover, the absence of inclusive features in the regular service means the scheme has not fully closed the equity gap in healthcare access for people with disabilities. Conclusion Jamkesus Disabilitas has expanded access to AT overlooked by the national health insurance (JKN). However, implementation should prioritise AT quality standards, financial and operational sustainability, and stronger data systems. Broader systemic reforms are also needed to embed disability inclusive practices in regular healthcare service delivery.","url":"https://doi.org/10.64898/2026.06.29.26356885","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.06.29.26356885","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.21203/rs.3.rs-4927086/v1","name":"A QR Code for the Brain: A dynamical systems framework for computing neurophysiological biomarkers","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4927086/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4927086/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202412.0977.v1","name":"Integrating Temporal Kolmogorov-Arnold Networks with Autoencoders for Enhanced Pipeline Leak Detection: A Novel Unsupervised Learning Detector","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.0977.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202412.0977.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.21203/rs.3.rs-3856998/v1","name":"Discrete event simulation-driven digital twin method for solving permutation flowshop scheduling problems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3856998/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3856998/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202405.1737.v1","name":"Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.1737.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.1737.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202403.0749.v1","name":"A Digital Twin for Assessment of Remaining Useful Life of Offshore Wind Turbines Structure.","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.0749.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202403.0749.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.20944/preprints202403.1443.v1","name":"A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.1443.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202403.1443.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.3897/arphapreprints.e125077","name":"Prototype Biodiversity Digital Twin: Grassland Biodiversity Dynamics","source":"preprints","abstract":"European grassland management has often favored high production through frequent mowing and heavy fertilization over biodiversity conservation, which is typically supported by less intensive management. Besides management, climate change and extremes are increasingly affecting grassland productivity and biodiversity, requiring timely adaptation of management practices. Here, we describe the development of a prototype Digital Twin (pDT) of grassland biodiversity dynamics intended to support researchers, farmers or regulatory decision-makers in monitoring the current state of selected grassland sites and projecting their future state under various management and climate scenarios.","url":"https://doi.org/10.3897/arphapreprints.e125077","authors":["Franziska Taubert","Tuomas Rossi","Christoph Wohner","Sarah Venier","Tomáš Martinovič","Taimur Khan","Julian Lopez Gordillo","Thomas Banitz"],"tags":["Biodiversity","Grassland","Environmental science","Geography","Ecology"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3897/arphapreprints.e125077","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.570Z"},{"id":"doi:10.12688/openreseurope.17809.2","name":"Digital twins for managing bridge climate change adaptation","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.17809.2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/openreseurope.17809.2","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202411.1459.v1","name":"Understanding Urban Cooling of Blue-Green Infrastructure: A Review of Geospatial Data and Planning Optimization Methods for Mitigating Urban Heat Islands","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.1459.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202411.1459.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.22541/au.171142917.74831577/v1","name":"Systematic Literature Review: Digital Twins’ Role in Enhancing Security for Industry 4.0 Applications","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171142917.74831577/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.171142917.74831577/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-3902232/v1","name":"Fusion method for digital twin model of a production line","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3902232/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3902232/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3861997/v1","name":"A Real-Time ANN for Estimation Digital Twin parameters in Health Indication of Flyback Converter","source":"preprints","abstract":"Abstract This paper proposes a real-time artificial neural network (ANN) for estimation digital twin parameters in health indication of flyback converter. Indeed, the ANN is approximated digital twin parameters by using voltage input of the flyback converter and comparison of capacitor voltage and inductance current of simulated model and digital twin. Moreover, the ANN structure is picked out multi-layer perceptron (MLP) with back-propagation training algorithm. Furthermore, the ANN is used in a new real-time technique that is trained during of running of the model. However, the digital twin is calculated output voltage and inductance current by 4th order runge-kutta method. The formula of model is determined with state-space averaged (SSA) model technique. Finally, as the output voltage of simulated model and digital twin are the same, the component parameters are compared with initial values and health of converter is detected. The model is tested in some variety scenarios, such as degradation of capacitor, MOSFET, diode and transformer magnetization inductance, and the outcome of them are presented. Also, the method is tested in changing input voltage of converter and duty cycle. The studied model is simulated in MATLAB/Simulink and the digital twin and the ANN block are done in S-function.","url":"https://doi.org/10.21203/rs.3.rs-3861997/v1","authors":["Ehsan Rahmanian Koushkaki","Amirhosein Rajaei"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3861997/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.20944/preprints202410.2319.v1","name":"Safetrucks Heavy Vehicle-Specific Road Weather and Safety Services","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.2319.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202410.2319.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.3897/arphapreprints.e125091","name":"Prototype Biodiversity Digital Twin: Crop Wild Relatives Genetic Resources for Food Security","source":"preprints","abstract":"","url":"https://doi.org/10.3897/arphapreprints.e125091","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3897/arphapreprints.e125091","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.3897/arphapreprints.e124639","name":"Prototype Biodiversity Digital Twin: Honey Bees in Agricultural Landscapes","source":"preprints","abstract":"","url":"https://doi.org/10.3897/arphapreprints.e124639","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3897/arphapreprints.e124639","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.31234/osf.io/m6pnq","name":"Digital twins of human social interactions reveal behavioral strategies in exchange games","source":"preprints","abstract":"","url":"https://doi.org/10.31234/osf.io/m6pnq","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.31234/osf.io/m6pnq","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.12688/openreseurope.16728.1","name":"Digital twin modeling: A comparison of current approaches","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.16728.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/openreseurope.16728.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.1953.v1","name":"Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process","source":"preprints","abstract":"Dynamic crossflow filtration (DCF) is the state-of-the-art technology for solid-liquid separation from viscous and sensitive feed streams in the food and biopharma industry. Up to now, the potential of industrial processes is often not fully exploited because fixed recipes are usually applied to run the processes. Therefore, a digital twin has been developed to optimize an industrial brownfield DCF plant. The core of the digital twin is a mechanistic-empirical process model combining fundamental filtration laws with process expert knowledge. The effect of variation of selected process and model parameters on plant productivity has been assessed using a model-based design-of-experiments approach and a regression metamodel has been trained with the data. A cyclic program that bidirectionally communicates with the DCF asset serves as frame of the digital twin. It monitors the process dynamics membrane torque and transmembrane pressure and feeds back the optimum permeate flow rate setpoint to the physical asset in almost real-time during process runs. The presented digital twin framework is a simple example how an industrial established process can be controlled by a hybrid model-based algorithm. With a digital process dynamics model at hand, the presented metamodel optimization approach can be easily transferred to other (bio)chemical processes.","url":"https://doi.org/10.20944/preprints202401.1953.v1","authors":["Matthias Heusel","Gunnar Grim","Joel Rauhut","Matthias Franzreb"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.1953.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1101/2024.03.28.587123","name":"DigiLoCS: A Leap Forward in Predictive Organ-on-Chip Simulations","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.03.28.587123","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.03.28.587123","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.09.05.611398","name":"Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: identifying reliable biomarkers such as ventricular relaxation rate","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.05.611398","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.05.611398","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3931390/v1","name":"Extending X-reality technologies to digital twin in cultural heritage risk management：A comparative evaluation from the perspective of situation awareness","source":"preprints","abstract":"Abstract Digital twins possess characteristics such as real-time capability, high precision, and high integration. The digital twin system for cultural heritage risk management includes comprehensive information about heritage, contextual data, and expert knowledge. Considering the role of Situational Awareness (SA), it facilitates more efficient risk assessment, analysis, and strategic decision-making for management personnel, thereby reducing damage to cultural heritage.This study extends X-reality technologies into the digital twin system for cultural heritage risk management. It simulates three sets of procedures for remote risk management of cultural heritage (2D desktop, VR, and AR) and explores the effectiveness of VR and AR in enhancing situational awareness from three dimensions of SART (SART-DAR, SART-SAR, SART-UOS). Additionally, we further analyze how the technological attributes of VR and AR (immersion and interactivity) impact the functional mechanism of situational awareness.The results indicate that, compared to the traditional 2D desktop, VR and AR have advantages in enhancing situational awareness of heritage risk. However, in AR mode, SART-DAR and SART-SAR dimensions did not show significant improvement. Furthermore, there is a significant difference in immersion's impact on the SART-DAR dimension. Regarding interactivity, although the results show differences in the impact on the SART-DAR dimension between VR and AR, no significant differences were observed.This study provides design references for building a digital twin system for cultural heritage risk management by deeply understanding the impact of X-reality technologies on the functional mechanism of cultural heritage risk situational awareness. Simultaneously, it offers insights for heritage site managers, heritage experts, and relevant stakeholders to enhance efficiency in risk perception.","url":"https://doi.org/10.21203/rs.3.rs-3931390/v1","authors":["Yuqing Guo","Shizhu Lu","Min Shen","Lin Liu","Wei Huang","Xiaolie Yi","Jifa Zhang"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3931390/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.20944/preprints202401.0967.v1","name":"Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level","source":"preprints","abstract":"Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics plays a crucial role in proactive planning, enabling cities to adapt to evolving challenges. Concurrently, digital twin techniques provide a virtual replica of the urban environment, fostering real-time monitoring, simulation, and analysis of urban systems. This research underscores the significance of real-time monitoring, simulation, and analysis of urban systems to support test scenarios that identify bottlenecks and enhance smart city efficiency. The paper delves into the crucial roles of citizen report analytics, prediction, and digital twin technologies at the neighborhood level. The study integrates ETL/ELT processes, AI techniques, and a digital twin methodology to process and interpret urban data streams derived from citizen interactions with the city&amp;#039;s coordinate-based problem mapping platform. By employing an interactive GeoDataFrame within the digital twin methodology, dynamic entities facilitate simulations based on various scenarios. This approach enables users to visualize, analyze, and predict the response of the urban system at the neighborhood level. Consequently, antecedent and predictive patterns, trends, and correlations are visualized at the physical level of each city area, leading to improvements in urban functionality, resilience, and resident quality of life.","url":"https://doi.org/10.20944/preprints202401.0967.v1","authors":["Andreas F. Gkontzis","Sotiris Kontsiantis","Georgios Feretzakis","Vassilios S. Verykios"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.0967.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3878182/v1","name":"Metaverse in Dynamic Viral-shedding Surveillance for Emerging Infectious Disease: A Digital Twin Approach to COVID-19 Epidemic","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3878182/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3878182/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.12.23.630172","name":"Agent-based modeling reveals impacts of cell adhesion and matrix remodeling on cancer collective cell migration phenotypes","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.23.630172","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.12.23.630172","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202405.0072.v1","name":"Position Estimation Method for Small Drones Based on Fusion of Multisource Multimodal Data and Digital Twins","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.0072.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.0072.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4612942/v1","name":"Evolution of digital twins in precision health applications: a scoping review study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4612942/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4612942/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202401.0927.v1","name":"A Novel Process-Based Digital Twin for Intelligent Fish Feeding Management Using Multi-Mode Sensors and Smart Feeding Machine","source":"preprints","abstract":"The utilization of smart IoT devices, commonly referred to as digital twins, is aimed at the digitalization of human knowledge within aquaculture processes. This involves the incorporation of cutting-edge technologies, including information-based management with big data and modeling, to automate machinery and gain comprehensive insights into the aquaculture environment and fish farm conditions. The ultimate objective is to empower farmers to make informed decisions, furnishing them with objective data to enhance their capacity in monitoring and controlling the various factors impacting fish production. As a result, farming decisions can be fine-tuned to enhance fish health and optimize farm output. In the context of large and modern aquaculture farms, technological innovation becomes imperative to automate processes, minimize labor requirements, and streamline fish feeding operations. Remarkably, the literature currently offers limited discussions on the digital transformation of aquaculture through the application of digital twin methodologies. A prior study underscores the critical influence of factors such as market prices and fish survival rates on the profitability of offshore caging culture. In this study, we embark on an analysis of the prerequisites for establishing a digital twin infrastructure tailored to intelligent fish feeding management. This infrastructure is designed to facilitate the integration of technology and data-driven decision-making, ultimately enhancing the efficiency of fish feeding processes. The proposed architecture for the fish feeding digital twin encompasses various digital twin components, encompassing water quality forecasting, fish population assessment, fish metrics estimation, fish feed prediction, and evaluation of fish feeding intensity. Furthermore, we optimize the daily fish feeding process through reinforcement learning algorithms. Finally, we implement a cloud-based AIoT system that provides the runtime environment for executing digital twins and controlling our intelligent fish feeding machinery. Experimental findings underscore the efficacy of the proposed digital twin system in significantly improving traditional fish feeding processes, notably in terms of reducing food costs and labor requirements.","url":"https://doi.org/10.20944/preprints202401.0927.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.0927.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.1805.v1","name":"Integration of Railway Bridge Structural Health Monitoring into the Internet of Things with a Digital Twin: A Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1805.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.1805.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3245818/v1","name":"Efficient texture prediction for additive manufacturing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3245818/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3245818/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202404.0306.v1","name":"Estimation of Pointing Errors of Large Radio Telescopes under Solar Radiation Based on Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202404.0306.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202404.0306.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202403.1774.v1","name":"Digital Twin-Based Approach for a Multi-objective Optimal Design of Wind Turbine Gearboxes","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.1774.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202403.1774.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.0399.v1","name":"Real-Time Digital Twin of Ship Structure Deformation Field Based on Inverse Finite Element","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.0399.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.0399.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.03.20.24304575","name":"Population scale proteomics enables adaptive digital twin modelling in sepsis","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.03.20.24304575","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.03.20.24304575","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202405.0791.v1","name":"Harnessing AutoDesign and Open-Source Digital Twin Simulations for EV Charging Station Location Selection","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.0791.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.0791.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3822090/v1","name":"A Large Scale Digital Twin for British Cities","source":"preprints","abstract":"Abstract Computer models of cities are being rapidly extended to simulate entire systems of cities, accessible through user-friendly visual interfaces. These enable fast evaluation of scenarios pertaining to future patterns of employment, population and modal trip frequencies. Here we build a platform, essentially a digital twin, for over 8000 urban places in Great Britain (GB) based on multi-modal spatial interaction models which simulate the connectivity that stitches locations together. We present the structure of the model and outline the form and function of the scaling of employment and population that define the system. After tuning the model, we illustrate how we measure the impacts of new scenarios, for example, simulating current plans for Integrated and High Speed Rail. We finally detail methods for organising the data, tuning the model, assessing its performance, and proposing how the twin can be used to evaluate many thousands of possible urban futures.","url":"https://doi.org/10.21203/rs.3.rs-3822090/v1","authors":["Michael Batty","Richard Milton"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3822090/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1101/2024.11.20.624528","name":"Beyond the Surface: Revealing the Depths of Brain Activity by Predicting fMRI from EEG with Deep Learning","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.20.624528","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.20.624528","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202402.0129.v2","name":"DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202402.0129.v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202402.0129.v2","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3888588/v1","name":"DTMA: Visual Object Inspection and Mechanism for Digital Twin with Robotic Arm","source":"preprints","abstract":"Abstract Over the recent years, the manufacturing sector has been rapidly changing the operational mechanism using advanced technologies such as Artificial Intelli- gence, Computer Vision, etc. The availability of various categories of sensors like IoT, IMU, obstacle detecting sensors, actuators embedded in the system helps to visually monitor the manufacturing process. However, there are many challenges that are yet to be addressed in Cyber-Physical Systems (CPS) and industry 4.0. This includes reliability, precision, adaptability and multi-sensor informa- tion fusion and analysis. Hence, this work proposes an advanced and integrated framework Digital Twin Manipulator Arm (DTMA) that establishes the primary base for industrial level analysis of Digital Twins, including the required concepts of anomaly detection. The main objective of the proposed DTMA framework is three-fold. The first objective is to design a digital twin of robotic arm. The second is to design the visual inspection module for object inspection in man- ufacturing process. The third objective is to integrate both the modules with automated correction using robotic arm in to the entire process. The applica- tion of DTMA framework is gauged from two different use-cases discussing the heuristic based block level functioning of the proposed framework. The proposed framework will enable the development of mechanisms for key advantages such as predictive maintenance, reduced operation cost, visual inspection with higher processing rates and improved productivity.","url":"https://doi.org/10.21203/rs.3.rs-3888588/v1","authors":["Hrishikesh Venkataraman","Jaswanth Nidamanuri","Aditya V Dittakavi","Raja vara prasad Y","Ramona Trestian","Nguyen H"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3888588/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202405.0795.v1","name":"Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.0795.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.0795.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.02.20.24303096","name":"Patient digital twins: an introduction based on a scoping review","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.02.20.24303096","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.02.20.24303096","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202406.1558.v1","name":"Advanced Digital Twins for Current Real Time Condition Monitoring, Diagnosis and Predictive Remaining Lifecycles","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.1558.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1558.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202403.0884.v1","name":"Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.0884.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202403.0884.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4317958/v1","name":"Deciphering Osteoarthritis Progression and Knee Replacement Biomarkers: A Digital Twin Analysis via qMRI","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4317958/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4317958/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.64898/2026.08.24.26361177","name":"Fine-mapping  <i>HLA-II</i>  haplotypes in Alzheimer’s disease and healthy longevity reveals distinct associations with microglial HLA-II load and neuropathology","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.08.24.26361177","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.24.26361177","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.07.23.604592","name":"TwinEco: A Unified Framework for Dynamic Data-Driven Digital Twins in Ecology","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.07.23.604592","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.07.23.604592","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4845121/v1","name":"Multi-Modal Recognition Control System for Real-Time Robot Welding Penetration Control and Quality Enhancement","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4845121/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4845121/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202408.0528.v1","name":"Power-Based Normalization of Loss Terms to Improve the Performance of Physics-Informed Neural Networks (PINNs)","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0528.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202408.0528.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1101/2024.07.05.24309957","name":"Large Language Models forecast Patient Health Trajectories enabling Digital Twins","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.07.05.24309957","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.07.05.24309957","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.01.28.24301887","name":"Wearable Sensor and Digital Twin Technology for the Development of a Personalized Digital Biomarker of Vaccine-Induced Inflammation","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.01.28.24301887","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.01.28.24301887","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-5262065/v1","name":"Reinforcement Learning-Optimized Personalized Cancer Treatment Strategies: A Case Study of Lung Cancer","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5262065/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5262065/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4921825/v1","name":"Long Short-Term Memory based fault tolerance control: an intelligent approach to control a system efficiently exposed to faults.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4921825/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4921825/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4335590/v1","name":"Intelligent Agent-based Metaheuristic for Predicting Vibration Response of a Catamaran Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4335590/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4335590/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.3897/arphapreprints.e124640","name":"Prototype Biodiversity Digital Twin: Real-time bird monitoring with citizen science data","source":"preprints","abstract":"","url":"https://doi.org/10.3897/arphapreprints.e124640","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3897/arphapreprints.e124640","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.10.25.620245","name":"Principles and Operation of Virtual Brain Twins","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.10.25.620245","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.10.25.620245","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3854200/v1","name":"Individualized Physiology-Based Digital Twin Model for Sports Performance Prediction : A Reinterpretation of the Margaria-Morton Model","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3854200/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3854200/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.22541/au.170664355.57121291/v1","name":"Digital twin-driven online intelligent assessment of wind turbine drivetrain","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.170664355.57121291/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.170664355.57121291/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.07.04.602085","name":"Challenges for error-correction coding in DNA data storage: photolithographic synthesis and DNA decay","source":"preprints","abstract":"Efficient error-correction codes are crucial for realizing DNA’s potential as a long-lasting, high-density storage medium for digital data. At the same time, new workflows promising low-cost, resilient DNA data storage are challenging their design and error-correcting capabilities. This study characterizes the errors and biases in two new additions to the state-of-the-art workflow in DNA data storage: photolithographic synthesis and DNA decay. Photolithographic synthesis offers low-cost, scalable oligonucleotide synthesis but suffers from high error rates, necessitating sophisticated error-correction schemes, for example codes introducing within-sequence redundancy combined with clustering and alignment techniques for retrieval. On the other hand, the decoding of oligo fragments after DNA decay promises unprecedented storage densities, but complicates data recovery by requiring the reassembly of full-length sequences or the use of partial sequences for decoding. Our analysis provides a detailed account of the error patterns and biases present in photolithographic synthesis and DNA decay, and identifies considerable bias stemming from sequencing workflows. We implement our findings into a digital twin of the two workflows, offering a tool for developing error-correction codes and providing benchmarks for the evaluation of codec performance.","url":"https://doi.org/10.1101/2024.07.04.602085","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.07.04.602085","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3966385/v1","name":"Metaverse and Industry 4.0 in Cheese Production: An Innovative Integration Example","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3966385/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3966385/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.03.28.24305028","name":"Assessing Post-TAVR Cardiac Conduction Abnormalities Risk Using a Digital Twin of a Beating Heart","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.03.28.24305028","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.03.28.24305028","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.0125.v1","name":"Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.0125.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.0125.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.32388/xufb08","name":"Self-Driving Development of Perfusion Processes for Monoclonal Antibody Production","source":"preprints","abstract":"","url":"https://doi.org/10.32388/xufb08","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.32388/xufb08","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.1101/2024.05.31.596692","name":"Personalizing computational models to construct medical digital twins","source":"pubmed","abstract":"Digital twin technology, pioneered for engineering applications, is being adapted to biomedicine and healthcare; however, several problems need to be solved in the process. One major problem is that of dynamically calibrating a computational model to an individual patient, using data collected from that patient over time. This kind of calibration is crucial for improving model-based forecasts and realizing personalized medicine. The underlying computational model often focuses on a particular part of human biology, combines different modeling paradigms at different scales, and is both stochastic and spatially heterogeneous. A commonly used modeling framework is that of an agent-based model, a computational model for simulating autonomous agents such as cells, which captures how system-level properties are affected by local interactions. There are no standard personalization methods that can be readily applied to such models. The key challenge for any such algorithm is to bridge the gap between the clinically measurable quantities (the macrostate) and the fine-grained data at different physiological scales which are required to run the model (the microstate). In this paper we develop an algorithm which applies a classic data assimilation technique, the ensemble Kalman filter, at the macrostate level. We then link the Kalman update at the macrostate level to an update at the microstate level that produces microstates which are not only compatible with desired macrostates but also highly likely with respect to model dynamics.","url":"https://doi.org/10.1101/2024.05.31.596692","authors":["Knapp AC","Cruz DA","Mehrad B","Laubenbacher RC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.05.31.596692","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.21203/rs.3.rs-3837578/v1","name":"Driving Forward Mobile Robotics: A Digital Twin Architecture Case Study for AGVs Data-Driven Autonomy","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3837578/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3837578/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4487438/v1","name":"Application of Metauniverse Model Based on NFT Expansion in the Perspective of Blockchain Green Finance","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4487438/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4487438/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.1585.v1","name":"A review on Digital Twins and its Application in the Modeling of Photovoltaic Installations","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1585.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.1585.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.09.03.610922","name":"Self-driving development of perfusion processes for monoclonal antibody production","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.03.610922","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.03.610922","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-4191817/v1","name":"An optimization scheme for vehicular edge computing based on Lyapunov function and deep reinforcement learning","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4191817/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4191817/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.64898/2026.07.14.26358031","name":"Quantifying the contribution of genetic variation to healthcare expenditure across diverse healthcare systems","source":"preprints","abstract":"Healthcare systems must balance rising costs with the delivery of effective care, yet the factors underlying large inter-individual differences in healthcare expenditure remain incompletely understood. Here we examine how genome-wide genetic variation contributes to healthcare costs, analysing inpatient, outpatient, primary care and prescription drug expenditure in up to 1,429,889 individuals from 11 studies across 7 countries. We identify hundreds of common genetic variants robustly associated with healthcare costs, revealing a reproducible polygenic architecture shared across healthcare systems. Individual common variants have modest effects, typically altering annual costs by ∼1-2% per allele, with the strongest signals arising from the HLA region, consistent with pleiotropic effects across autoimmune and inflammatory diseases. In contrast, putative loss-of-function (pLOF) variants (ClinVar/ENIGMA pathogenic variants or LOFTEE high-confidence pLOF) in clinically actionable genes, studied in UK Biobank, have large individual-level consequences: carriers of such variants in BRCA1, BRCA2, MSH2 and APC experience more than a two-fold increase in annual inpatient costs. Cost-associated signals colocalize extensively with autoimmune disorders, cardiometabolic risk factors, pain sensitivity, and depression amongst others. Polygenic scores derived for healthcare costs can predict up to 1.4% of drug-related healthcare expenditure in independent cohorts and retain their effects in within-family analyses, indicating largely direct genetic influences. By linking genetic risk to healthcare expenditure, this work provides a foundation for integrating human genetics into health economics, preventive strategies and population-level screening.","url":"https://doi.org/10.64898/2026.07.14.26358031","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.14.26358031","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202406.1874.v1","name":"BIM-Based Strategies for the Revitalization and Automated Management of Buildings: A Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.1874.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1874.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.21203/rs.3.rs-3993008/v1","name":"Application of Digital Thread Impacts on Sustainable Manufacturing and Smart Production Systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3993008/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3993008/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1101/2024.07.23.604835","name":"Multiomic Evidence for a Unified Model of Alzheimer’s Disease Etiology Linking Microglial Flux Capacity and Astrocyte-Neuron Metabolic Breakdown","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.07.23.604835","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.07.23.604835","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202401.2184.v1","name":"Just-in-Time Fluid Flow Simulation on Mobile Devices Using OpenVisFlow and OpenLB","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.2184.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.2184.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.22541/au.171774215.50832419/v1","name":"On designing transport networks with latency guarantees for next-generation services","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171774215.50832419/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.171774215.50832419/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.12688/openreseurope.17653.1","name":"Developing Inclusive Community Platforms: A Catalyst for DEI Community","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.17653.1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.12688/openreseurope.17653.1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.22541/au.171386202.25638576/v1","name":"Rapid Topological Analysis and State Estimation Based on Spatiotemporal “Power Grid One Graph”","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171386202.25638576/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.22541/au.171386202.25638576/v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"doi:10.20944/preprints202406.1769.v1","name":"TransNeural: An Enhanced-Transformer based Performance Pre-Validation Model for Split Learning Tasks","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.1769.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202406.1769.v1","addedAt":"2026-09-01T01:47:32.626Z","updatedAt":"2026-09-01T01:47:34.571Z"},{"id":"oa:W4412602550","name":"Integrating Digital Twin and BIM for Special-Length-Based Rebar Layout Optimization in Reinforced Concrete Construction","source":"openalex","abstract":"The integration of Building Information Modeling (BIM) and Digital Twin (DT) technologies offers new opportunities for enhancing reinforcement design and on-site constructability. This study addresses a current gap in DT applications by introducing an intelligent framework that simultaneously automates rebar layout generation and reduces rebar cutting waste (RCW), two challenges often overlooked during the construction execution phase. The system employs heuristic algorithms to generate constructability-aware rebar configurations and leverages Industry Foundation Classes (IFC) schema-based data models for interoperability. The framework is implemented using Autodesk Revit and Dynamo for rebar modeling and layout generation, Microsoft Project for schedule integration, and Autodesk Navisworks for clash detection. Real-time scheduling synchronization is achieved through IFC schema-based BIM models linked to construction timelines, while embedded clash detection and constructability feedback loops allow for iterative refinement and improved installation feasibility. A case study on a high-rise commercial building demonstrates substantial material savings, improved constructability, and reduced layout time, validating the practical advantages of BIM–DT integration for RC construction.","url":"https://doi.org/10.3390/buildings15152617","authors":["Daniel Darma Widjaja","Jeeyoung Lim","Sunkuk Kim"],"tags":["Rebar","Structural engineering","Reinforced concrete","Engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-23","doi":"https://doi.org/10.3390/buildings15152617","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409446562","name":"Smart Government Initiatives: Transforming Global Supply Chains through Digital Change","source":"openalex","abstract":"This empirical research aims to explore the effects of smart government initiatives on the global supply chain to evaluate the pharmaceutical manufacturing industry in the UAE. Through the synthesis of information collected from this sector’s stakeholders, the research reveals how digital innovation, spurred by smart initiatives initiated by the government, acts as a mediator between supply chain efficiency and effectiveness. The research also shows strategies which encompasses data analytics, IoT and blockchain revolutionise and transform the supply chain by increasing its transparency, responsiveness and flexibility. These digital changes, which have been supported by government policies, not only enhance efficiency, but also help improve coordination between supply chain members and optimize performance indicators internationally. The research findings presented here are relevant to policymakers and leaders of industries to design great technologies for supply chain improvements. Therefore, the study has implications that make it necessary for government agencies to develop effective strategies and policies that support smart causes meant for enhancing digital integration in the sectors. Overall, the study for the pharmaceutical manufacturers indicates that the willingness to adopt digital change supported by governmental frameworks leads to significant improvements of the supply chain performance regarding lead time as well as reliability. In addition, these advancements can contribute toward global competitiveness through the superior management of supply networks especially for global supply chains and reducing risks of supply chain disruptions.","url":"https://doi.org/10.32479/irmm.18962","authors":["Haitham M. Alzoubi","Cheng Ling Tan","Mounir El Khatib","Muhammad Turki Alshurideh","Fanar Shwedeh","Y. Ramakrishna","Khai Loon Lee"],"tags":["Business","Supply chain","Government (linguistics)","Industrial organization","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-15","doi":"https://doi.org/10.32479/irmm.18962","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W7155408699","name":"Greenhouse gas accounting in urban digital twins","source":"openalex","abstract":"Abstract As current efforts remain insufficient to limit global warming to 1.5 °C, increasing expectations are placed on emerging technologies such as urban and national digital twins (DTs). Their number and spatial coverage are rapidly expanding, alongside a growing diversity of exploratory use cases. While the literature highlights their potential across multiple domains, a knowledge gap persists regarding their methodological application to subnational spatial greenhouse gas accounting, a key evidence base for local climate action. This study applies a multi-method approach to examine how frontrunner cities utilise DTs in greenhouse gas inventories and to assess their potential for spatial subnational greenhouse gas accounting. Interview findings indicate that greenhouse gas inventories and urban DT initiatives are largely pursued as disconnected efforts within cities. Five case studies demonstrate significant untapped potential beyond current inventory practices. DTs can help address limitations and biases in existing approaches by providing complementary insights into local emission patterns across regions, cities, and rural municipalities. Realising this potential requires systematic metadata attribution to distinguish between various emissions allocation principles, enabling georeferenced, disaggregated calculations and spatiotemporal representation of results. These methodological advances substantially enhance the interpretability, transparency, and policy relevance of subnational greenhouse gas inventories.","url":"https://doi.org/10.1088/2634-4505/ae5a57","authors":["Kimmo Lylykangas","Fabian Dembski","Anssi Joutsiniemi","Jukka Heinonen"],"tags":["Greenhouse gas","Natural resource economics","Environmental resource management","Environmental science","Climate change"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.1088/2634-4505/ae5a57","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7125905947","name":"Digital Twins in Poultry Farming: Deconstructing the Evidence Gap Between Promise and Performance","source":"openalex","abstract":"Digital twins, understood as computational replicas of poultry production systems updated in real time by sensor data, are increasingly invoked as transformative tools for precision livestock farming and sustainable agriculture. They are credited with enhancing feed efficiency, reducing greenhouse gas emissions, enabling disease detection earlier and improving animal welfare. Yet close examination of the published evidence reveals that these promises rest on a surprisingly narrow empirical foundation. Across the available literature, no peer reviewed study has quantified the full lifecycle carbon footprint of digital twin infrastructure in poultry production. Only one field validated investigation reports a measurable improvement in feed conversion ratio attributable to digital optimization, and that study’s design constrains its general applicability. A standardized performance assessment framework specific to poultry has not been established. Quantitative evaluations of reliability are scarce, limited to a small number of studies reporting data loss, sensor degradation and cloud system downtime, and no work has documented abandonment timelines or reasons for discontinuation. The result is a pronounced gap between technological aspiration and verified performance. Progress in this domain will depend on small-scale, deeply instrumented deployments capable of generating the longitudinal, multidimensional evidence required to substantiate the environmental and operational benefits attributed to digital twins.","url":"https://doi.org/10.3390/app16031317","authors":["Suresh Raja Neethirajan"],"tags":["Timeline","Greenhouse gas","Carbon footprint","Computer science","Abandonment (legal)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/app16031317","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4415872543","name":"INTEGRATION OF LEAN SIX SIGMA AND ARTIFICIAL INTELLIGENCE-ENABLED DIGITAL TWIN TECHNOLOGIES FOR SMART MANUFACTURING SYSTEMS","source":"openalex","abstract":"This quantitative study investigated the integration of Lean Six Sigma (LSS), artificial intelligence (AI), and digital twin (DT) technologies as a unified framework for achieving measurable performance improvement in smart manufacturing systems. The research aimed to evaluate the extent to which AI-enabled digital twins could enhance Lean Six Sigma’s analytical and process control capabilities and to determine the quantitative impact of this integration on operational efficiency, defect reduction, and production reliability. Data were collected from 150 participants across 20 manufacturing organizations that had implemented digital transformation initiatives involving LSS, AI, and DT frameworks. Using descriptive, correlational, and multiple regression analyses, the study examined how these independent variables jointly influenced key performance indicators, including mean time between failures (MTBF), overall equipment effectiveness (OEE), and defect rate. The results indicated that the integration model was statistically significant, with an adjusted R² of 0.719, confirming that approximately 72% of the variance in performance outcomes could be explained by the combined influence of LSS, AI, and DT. Correlation analysis revealed strong positive associations between AI integration and OEE (r = 0.816) and between DT utilization and MTBF (r = 0.802), while defect rate demonstrated significant negative correlations with all three predictors. Reliability testing produced Cronbach’s alpha values exceeding 0.85 for all constructs, confirming instrument consistency, while validity testing established clear construct alignment through factor analysis. Regression coefficients demonstrated that AI integration had the highest predictive strength (β = 0.447, p < 0.001), followed by digital twin synchronization (β = 0.389, p < 0.001) and Lean Six Sigma implementation (β = 0.312, p < 0.001). These findings provided empirical evidence that combining process improvement methodologies with intelligent simulation and predictive analytics produced significant, quantifiable enhancements in manufacturing performance.","url":"https://doi.org/10.63125/1med8n85","authors":["Md Mosharaf Hossain"],"tags":["Variance (accounting)","Reliability (semiconductor)","Six Sigma","Engineering","Lean manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-21","doi":"https://doi.org/10.63125/1med8n85","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4407404847","name":"Security and Privacy in Physical–Digital Environments: Trends and Opportunities","source":"openalex","abstract":"Over recent decades, internet-based communication has grown exponentially, accompanied by a surge in cyber threats from malicious actors targeting users and organizations, heightening the demand for robust security and privacy measures. With the emergence of physical–digital environments based on Mixed Reality (MR) and the Metaverse, new cybersecurity, privacy, and confidentiality challenges have surfaced, requiring innovative approaches. This work examines the current landscape of cybersecurity concerns in MR and Metaverse environments, focusing on their unique vulnerabilities and the risks posed to users and their data. Key challenges include authentication issues, data breaches, and risks to user anonymity. The work also explores advancements in secure design frameworks, encryption techniques, and regulatory approaches to safeguard these technologies. Additionally, it identifies opportunities for further research and innovation to strengthen data protection and ensure a safe, trustworthy experience in these environments.","url":"https://doi.org/10.3390/fi17020083","authors":["Carolina Alves Pereira","Anabela Marto","Roberto Ribeiro","Alexandrino Gonçalves","Nuno Rodrigues","Carlos Rabadão","Rogério Luís de C. Costa","Leonel Santos"],"tags":["Computer science","Computer security","Cyber-physical system","Physical security","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-12","doi":"https://doi.org/10.3390/fi17020083","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7134232795","name":"Logistics equipment condition monitoring and prediction based on digital twin and machine learning","source":"europepmc","abstract":"The use of digital twins is becoming a foundation for automation that will improve how industries handle and organize data about both virtual and physical things. It enables analyzing industrial data more seamlessly by merging the Internet of Things (IoT) with Artificial Intelligence (AI) to make sense of it. The growth of online retailers has made it harder for logistics professionals to keep people safe, make sure products are of superior quality, and run smoothly. The most recent advancements of digital twin (DT) have made it easier to create predictive maintenance. Using DT makes it easier to accurately assess equipment status and detect problems before they occur, thereby making the system more reliable. This shift from reactive to preventive operations makes maintenance plans more efficient, reduces disruptions, and boosts the company's profits and competitive advantage. Nevertheless, the research and implementation of Digital Twin (DT) for Predictive Maintenance remains developing, likely due to the incomplete exploration of the function and significance of machine learning (ML) within this context by academics and industry alike. In this paper, a digital twin solution in which the logistics equipment is monitored and continuously maintained through the application of ML algorithms in an IOT environment is proposed. The logistics 2.0-enabled system generates virtual replicas of physical logistics assets, such as forklifts, conveyor belts, automated guided vehicles, cranes, and warehousing robotic, and the digital twins are synchronized in real-time via IoT sensor networks. For anomaly detection, Remaining Unit Life (RUL) prediction, and failure classification, this study utilized Isolation Forest (iForest), Autoencoders, Long Short-Term Memory (LSTM) networks, and Random Forest (RF) machine learning models. The architecture consists of three layers, each of which is connected to the other named the physical layer, including heterogeneous IoT sensors (vibration, temperature, acoustic, and current/voltage, GPS, and load sensors); the digital twin layer, enabling real-time synchronization and simulation; and the ML layer running predictive maintenance and optimization models. Results from the application of the proposed system show a 30-50% reduction in the equipment downtime, 20-40% diminishment in the maintenance cost, longer lifespan for the equipment, and better operational safety.","url":"https://doi.org/10.1038/s41598-026-43380-4","authors":["Fang Han","Lijun Liu","Junyan Sun"],"tags":["Computer science","Predictive maintenance","Context (archaeology)","Automation","Anomaly detection"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1038/s41598-026-43380-4","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4409378177","name":"Land surface temperature, tropospheric and ionospheric anomalies analysis and implementation of a co-seismic PWV digital twin for the February 6, 2023 Turkey earthquake","source":"openalex","abstract":"A dual powerful earthquake hit Turkey on 6 February 2023 with a magnitude of 7.8. A preliminary geophysical analysis of land surface temperature (LST), tropospheric and ionospheric parameters was carried out. Precipitable water vapor (PWV), derived from Global Navigation Satellite System (GNSS) data, increased significantly and peaked over the stations when the earthquake burst. Moreover, total electron content (TEC) surge occurred, with a travelling ionospheric disturbance (TID) spreading from the northeast to the southwest in the south. LST observations from two-temporal scales indicates that a precursory thermal anomaly occurred 3 weeks in advance, and a low-temperature condition during the earthquake. For the period 18–24 January, LST was more than 10 °C higher than that of the past 10 years in the same period. However, a significant low-LST was observed on the days of mainshock from 4–6 February, with the anomaly index at the epicenter being −1.66, −1.82, and −1.80 with descending range of −8.66 °C, −10.05 °C and −9.27 °C, respectively. In terms of algorithms, we introduced different features to construct a digital twin to predict the PWV for 2023 Turkey earthquake, yielding a root mean square error (RMSE) averaging 4.60 mm when compared to GNSS-PWV.","url":"https://doi.org/10.1080/19475705.2025.2491470","authors":["Ao Guo","Nan Jiang","Yan Xu","Tong Liu","Tianhe Xu","Luísa Bastos","Zeqi Li","Ranran Jia"],"tags":["Seismology","Geology","Troposphere","Environmental science","Ionosphere"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-11","doi":"https://doi.org/10.1080/19475705.2025.2491470","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4407410928","name":"Digital Synergy and Strategic Vision: Unlocking Sustainability-Oriented Innovation in Saudi SMEs","source":"openalex","abstract":"This research examines the proposition that enhancing sustainable innovation can be particularly effective when the focus is on strategy, machine learning, and digitalization. The study specifically targets the complex interactions among strategic alignment (SA), sustainability-oriented innovation (SOI), and digital transformation (DT) within small and medium-sized enterprises (SMEs) in Saudi Arabia, particularly within the service sector. A moderated mediation framework was constructed to analyze the influence of SA on SOI, the mediating role of DT, and the moderating effect of strategic orientation (SO). Data were collected through structured surveys from 339 SMEs using a quantitative research design and a cross-sectional methodology. The partial least squares structural equation modeling (PLS-SEM) technique was employed to validate the proposed framework and hypotheses. The results indicate that SA significantly boosts SOI, with DT acting as a strong mediator in this connection. Furthermore, SO moderates the relationships between SA and SOI, SA and DT, and DT and SOI, highlighting its essential role in shaping the dynamics of sustainable innovation. These findings emphasize the necessity of aligning strategic initiatives with digital advancements to foster innovation that achieves a balance among economic, social, and environmental objectives. This study contributes to existing literature by filling the research gap regarding SOI and DT in Saudi SMEs and offers practical insights for SMEs facing sustainability challenges. Future research should delve deeper into digital technology configurations, industry-specific contexts, and cross-national applications to improve the applicability of these findings.","url":"https://doi.org/10.3390/admsci15020059","authors":["Karam Zaki","Abrar Alhomaid","Ashraf Ghareb","Hany Shared","Alaa Rasian","Gamal S. A. Khalifa","Ahmed K. Elnagar"],"tags":["Sustainability","Business","Strategic planning","Process management","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-12","doi":"https://doi.org/10.3390/admsci15020059","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4416143793","name":"Machine learning and digital twins in smart irrigation: optimising water use through agricultural data analytics","source":"openalex","abstract":"Efficient water use in agriculture is increasingly critical amid intensifying water scarcity and climate variability. This review synthesises current research on the integration of machine learning (ML) and digital twin (DT) technologies in smart irrigation systems to enhance water-use efficiency and agricultural sustainability. It categorises key data inputs for ML-driven irrigation such as soil properties, weather and climate variables, crop characteristics, remote sensing and GIS data, and IoT-based sensor systems, and discusses their roles in training predictive models. The review compares supervised, deep learning, reinforcement learning, and unsupervised ML models in terms of their applicability, data requirements, and decision-making capabilities in irrigation scheduling and control. It highlights the importance of data preprocessing, feature selection, and data fusion techniques in improving model performance and adaptability. Moreover, the paper explores how digital twins extend the utility of ML through real-time monitoring, scenario simulation, and feedback-based automation. Practical case studies illustrate the potential of ML-DT integration, while challenges such as data accessibility, infrastructure gaps, and ethical concerns are critically assessed. The review concludes by outlining design strategies for modular, scalable smart irrigation architectures suited to smallholder and resource-constrained farming contexts, particularly in Southeast Asia.","url":"https://doi.org/10.1080/27525783.2025.2562418","authors":["Christian John C. Bautista","Ralph Kristoffer B. Gallegos","Rubenito M. Lampayan"],"tags":["Computer science","Machine learning","Artificial intelligence","Agriculture","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-12","doi":"https://doi.org/10.1080/27525783.2025.2562418","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411062797","name":"Advancing digital innovation in the AEC industry: A bibliometric analysis on the BIM, AI and IoT integration","source":"openalex","abstract":"Abstract Recently digitalization is reshaping the Architecture, Engineering, and Construction (AEC) industry, especially through the integration of Building Information Modeling (BIM) with emerging technologies, notably the Internet of Things (IoT), and Artificial Intelligence (AI). Previous research highlights the transformative benefits of these advancements, by enabling efficient data sharing, fostering effective collaboration, enhancing visualization, and improving productivity and safety. However, the fusion of BIM with IoT, and AI remains in its infancy. This research endeavors to take into account this gap by conducting a bibliometric analysis to map key themes, identify emerging trends, and pinpoint gaps among current scholarly findings, using VOSviewer and a dataset of 122 academic articles, spanning the years 2019 to 2024, sourced from the Scopus database. Findings reveal the increasing adoption of BIM as a backbone for data exchange, IoT to capture real-time data and AI for predictive analysis and automation. Technologies such as digital twins, blockchain, and machine learning are identified as significant yet underexplored areas, offering new opportunities for innovation. Challenges such as interoperability and the integration of sustainability principles persist, indicating directions for future research. This study lays a solid groundwork for both researchers and practitioners aiming to navigate and leverage the dynamic advancements in BIM, AI, and IoT within the AEC industry.","url":"https://doi.org/10.1088/1755-1315/1499/1/012010","authors":["Widad Ait Ouchtout","Smail Zaki","Khalil Idrissi Gartoumi"],"tags":["Building information modeling","Internet of Things","Engineering","Engineering management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1088/1755-1315/1499/1/012010","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4410508627","name":"Transforming engineering education in the digital era: findings from a systematic review","source":"openalex","abstract":"Introduction According to the Digital Curricula Report on the status of online learning in higher education in the United States, about one-third of higher education is online, a number that has substantially increased after the pandemic (Analytics, 2022). As of October 1, 2024, the Accreditation Board for Engineering and Technology (ABET) has accredited 3,611 programs across 702 institutions in the United States, but only 46 institutions offered 100% online programs, which is significantly lower than other fields. This study aims to explore the factors that influence the acceptance of online learning and teaching in engineering education from the perspectives of students and teachers after the COVID-19 pandemic. Methods This study followed the PRISMA guidelines and included only peer-reviewed articles published between 2020 and 2024, focusing on online engineering education. This systematic review explored the variables affecting student and teacher acceptance of online learning in order to more clearly define challenges in delivering online engineering education and to identify avenues to improve and strengthen it. The inclusion criteria focused on articles addressing instructional design and learning experiences in online education, while the exclusion criteria eliminated studies without key data and those outside the specified timeframe. Discussion The findings of this systematic review highlighted several factors influencing the acceptance of online engineering education, such as technology design, individual characteristics, and social factors. These factors are important for creating effective, engaging, and accessible learning environments that enhance student performance and satisfaction. Further research is needed to develop an approach to examine factor interactions in different contexts, and create a framework aligned with ABET accreditation standards for assessing long-term learning outcomes.","url":"https://doi.org/10.3389/feduc.2025.1568917","authors":["Yu-Ping Hsu","Danielle F. Chiang","Ifedayo Kehinde"],"tags":["Engineering education","Computer science","Engineering ethics","Data science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-19","doi":"https://doi.org/10.3389/feduc.2025.1568917","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4401458245","name":"Digital Building Permits and Digital Building Logbooks – Clustering the Challenges and Requirements for Alignment","source":"openalex","abstract":"Digitalisation supporting a more sustainable, efficient, and waste-friendly built environment is key. The requirements for this go far beyond the development of digital tools. The ability to collect, track, exchange, and trace data throughout processes is decisive. Digital Building Permit (DBP) and Digital Building Logbook (DBL) share these assumptions. However, a mutual realisation is lacking, and intuitions point to attaining added value. This vision motivates the research. Action research was elected to diagnose and discuss the viability of the vision and the associated challenges. Contributions demonstrate soundness and provide relevant insights into twin paths involving both concepts.","url":"https://doi.org/10.35490/ec3.2024.245","authors":["P. Mêda","Judith Fauth","Christian Schranz","Harald Urban","Hipólito Sousa"],"tags":["Computer science","Cluster analysis","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-14","doi":"https://doi.org/10.35490/ec3.2024.245","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4415817927","name":"Toward demographic robustness in digital patient twins: Addressing the gender data gap","source":"openalex","abstract":"In this opinion piece, we argue that sex- and gender-based equity must become a foundational criterion in the design and implementation of digital patient twins. Digital patient twins offer a promising avenue for precision medicine by simulating individual health states and treatment responses. However, their clinical utility and fairness depend on whether diverse patient populations are adequately represented and accounted for in the data and devices on which these models are built. Drawing on evidence from cardiology, endocrinology, mental health, and medical device research, this article shows how current digital patient twin initiatives often overrepresent male, white, and socioeconomically privileged populations, while women, gender-diverse individuals, and people of color remain underrepresented. These imbalances can lead to systematic misdiagnoses, misinterpretation of physiological variation, and measurement inaccuracies. Documented examples include under-recognition of heart failure with preserved ejection fraction in women, omission of menstrual cycle-related changes in glycemic control, underdiagnosis of depression in women by speech-based AI models, and oxygen saturation overestimation in patients with darker skin tones. We argue that these disparities are rooted in structural biases in clinical research and are perpetuated when sex- and gender-specific variables, intersectional factors, and subgroup validation are absent from model design. Addressing these limitations requires balanced data representation, integration of sex- and gender-informed knowledge, participatory design with diverse patient groups, subgroup performance testing, transparent reporting, and mitigation of device-related bias. We contend that these are not optional refinements but prerequisites for realizing the promise of personalized care without reproducing or deepening existing health inequities.","url":"https://doi.org/10.1177/20552076251386660","authors":["Dana Mahr","Meike Hebich","Nora Weinberger"],"tags":["Digital health","Health care","Inference","Computer science","Health equity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1177/20552076251386660","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4398769387","name":"Urban District Experiences for the Individual Generated by the Linking of Digital Twins--Digital-twin-integrated Platform and Integrated App","source":"openalex","abstract":"An urban district includes a variety of stakeholders each with their own interests with trade-offs existing among those interests.The digital-twin-integrated platform was developed to achieve social wellbeing by calculating a state that obtains a balance among those trade-offs on the basis of values predicted by multiple digital twins.An integrated app was also developed that provides services for the individual based on pre-and post-behavior context by determining behavior spanning multiple services using a single identifier.","url":"https://doi.org/10.53829/ntr202405fa7","authors":["Jun Ito","Hiroyuki Sato","Ai Hoshino"],"tags":["Twin cities","Computer science","Geography","Metropolitan area","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-01","doi":"https://doi.org/10.53829/ntr202405fa7","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7130945332","name":"Digitalisation of Shipyard Production Planning: A Review of Simulation, Optimisation, AI, and Digital Twin Methods (2010–2025)","source":"openalex","abstract":"Digitalisation is reshaping shipyard production, yet its methodological foundations remain fragmented across simulation, optimisation, Artificial Intelligence (AI), and Digital Twin (DT) research streams. This paper presents a domain-specific methodological review of shipyard production modelling from 2010 to 2025, synthesising advances in Discrete-Event Simulation (DES), multi-objective optimisation, hybrid simulation–optimisation architectures, Machine Learning (ML), reinforcement learning (RL), and DT-enabled cyber-physical systems. Using an explicit evaluative framework based on integration depth, validation basis, and decision scope, the review differentiates between analytically mature but execution-decoupled DES/optimisation approaches and integration-rich yet variably validated DT and AI-driven systems. The analysis shows that hybrid DES-optimisation frameworks currently represent the most operationally credible class of methods, delivering measurable production improvements under structured conditions, whereas many DT and AI contributions prioritise architectural integration and data synchronisation over longitudinal yard-wide KPI validation. A comparative assessment of simulation platforms, optimisation engines, and manufacturing execution system/enterprise resource planning/product lifecycle management infrastructures highlights the central role of structured product–process–resource data and execution-layer connectivity, while severe confidentiality constraints and the scarcity of openly available industrial datasets continue to limit reproducibility and benchmarking. Overall, shipyard production research is progressing toward increasingly integrated and cyber-physical systems, but sustained yard-scale validation and shared benchmark development remain critical prerequisites for translating architectural sophistication into demonstrable operational impact.","url":"https://doi.org/10.3390/jmse14040396","authors":["Amir Bordbar","Mina Tadros","Amin Nazemian","Myo Zin Aung","Κωνσταντίνος Γεωργούλας","Panagiotis Louvros","Evangelos Boulougouris"],"tags":["Shipyard","Production (economics)","Engineering","Benchmark (surveying)","Sophistication"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-21","doi":"https://doi.org/10.3390/jmse14040396","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4399976738","name":"Leveraging Digital Transformation for Enhanced Risk Mitigation and Compliance in Pharma Manufacturing","source":"openalex","abstract":"As the pharmaceutical manufacturing industry embraces digital transformation, innovative technologies are being adopted to improve risk management and regulatory compliance. The present study investigates the application of artificial intelligence, machine learning, the Internet of Things, and advanced data analytics in this sector. Integrating these technologies is essential for tackling product quality, patient safety, and operational efficiency challenges. Although the potential benefits are significant, there is a scarcity of comprehensive studies on the implementation and impact of digital technologies, specifically in the context of risk management and regulatory compliance within pharmaceutical manufacturing. The current study aims to address this gap by exploring how digital technologies can be utilized to enable real-time monitoring, predictive maintenance, proactive quality control, and streamlined regulatory compliance processes. Through a systematic literature review and analysis of case studies, best practices, challenges, and strategies for successful digital transformation in the pharmaceutical manufacturing industry are examined. The results emphasize the remarkable potential of digital technologies to enhance risk management, ensure regulatory compliance, and drive operational excellence. The central message conveyed is that embracing digital transformation is crucial for pharmaceutical companies to maintain competitiveness, mitigate risks, and deliver high-quality, safe medicines to patients. Furthermore, the necessity for collaboration between industry stakeholders and regulators to promote innovation while upholding rigorous quality and safety standards is highlighted.","url":"https://doi.org/10.9734/jamps/2024/v26i6697","authors":["Pravin Ullagaddi"],"tags":["Compliance (psychology)","Business","Digital transformation","Transformation (genetics)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-24","doi":"https://doi.org/10.9734/jamps/2024/v26i6697","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4401781959","name":"Digital platforms and the SDGs : A socio‐eco‐technical framework for SMEs based on cross‐case analysis","source":"openalex","abstract":"Abstract Managing the complex relationship between digitalization and sustainable development is a key challenge for many small and medium sized enterprises (SMEs). To understand strategies of forerunners in the field of digital platforms and platformization, this study performs a cross‐case analysis of three sustainability‐oriented SMEs employing multi‐sided platforms operating in three sectors (wholesale, information and communication technology, and construction) in Germany. The integrated analysis framework draws from Belief‐Action‐Outcome theory, multi‐sided platform strategies, and the sustainable development goals (SDG). The findings identify four platformization strategies and exemplarily specify contributions to SDG 2, 7, 8, 9, 12, 13, and 17. The proposed socio‐eco‐technical framework emphasizes linkages between an employed platformization strategy (technical system), the corporate culture (social system), the platform stakeholders and the SDGs (ecological system). A seven‐step approach is proposed to motivate and facilitate the development and continuous improvement of platformization for sustainability in SMEs.","url":"https://doi.org/10.1002/csr.2914","authors":["Carmen Isensee","Frank Teuteberg","Kai‐Michael Griese"],"tags":["Business","Industrial organization","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-21","doi":"https://doi.org/10.1002/csr.2914","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4412796633","name":"Methodology and pilot implementation of modular educational-development platform for Interoperable Digital Twin","source":"europepmc","abstract":"The development of Industry 4.0, especially in the areas of interoperability and the design, implementation and use of digital twins (DT), has been enormous in recent years. This article discusses three key aspects that Industry 4.0 brings with it - virtualization through digital twins, interoperability based on the OPC UA standard, and the use of Industry 4.0's Components - combining assets of physical production line and their Asset Administration Shells (AAS). For development and education, a methodology for an Education and Development Platform (EDP) of Interoperable Digital Twins (I-DT) has been prepared, which conveniently combines these key attributes of Industry 4.0 into a single entity. According to the proposed methodology, the pilot implementation of platform was prepared and tested on industrial technologies. The I-DT platform uses open and affordable technologies, fulfils Industry 4.0 attributes such as interoperability, virtualization, reconfigurability and modularity.","url":"https://doi.org/10.1038/s41598-025-13579-y","authors":["Martin Pajpach","Rudolf Pribiš","Peter Drahoš","Erik Kučera","Oto Haffner"],"tags":["Interoperability","Modular design","Computer science","World Wide Web","Software engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-025-13579-y","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4405522632","name":"Farming Success: Using Digital Twin Modeling to Assist Smallholders in Decision-Making","source":"openalex","abstract":"This paper presents a novel Digital Twin archi-tecture to assist different short-food supply chain actors in decision-making. The digital twin provides real-time monitoring and adjustment capabilities, enabling agile responses to supply chain disruptions. We outline the architecture of the digital twin system and discuss its implementation within the context of the SMALLDERS project. Results indicate this approach's efficiency and ease of use, which would increase the resilience of the short-food supply chain actors.","url":"https://doi.org/10.1109/ice/itmc61926.2024.10794214","authors":["Manuella Germanos","Sihem Mallek-Daclin","Mariane El Kassis","Oussama Ben-Ammar","Nicolas Daclin","Souad Rabah-Chaniour","Vincent Chapurlat","François Trousset","Grégory Zacharewicz"],"tags":["Agriculture","Computer science","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-24","doi":"https://doi.org/10.1109/ice/itmc61926.2024.10794214","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4404617052","name":"Embodied AI-Guided Interactive Digital Teachers for Education","source":"openalex","abstract":"Traditional education is considered incapable of providing prompt feedback, facilitating proactive learning, and giving indiscriminate responses.This has been observed in both in-person classes and online courses, especially when students' questions fall outside the instructors' knowledge base or are considered trivial by instructors.Nowadays, the advent of large language models (LLMs) has transformed knowledge acquisition.The LLM-based chatbots enable fast learning through interactive question-answering, which serves as an effective supplement to traditional educational approaches and even shows potential for replacement.To utilize such advancements in education, we propose MAGI, a novel system providing Embodied AI-Guided Interactive digital teachers for education, which integrates LLM-based chatbot technology.To ensure MAGI generates answers without hallucination, we employ a novel retrieval-augmented generation (RAG) paradigm to organize and retrieve useful educational documents for the LLM.Moreover, we create animatable 3D avatars powered by text-to-speech and audioto-motion models to provide students with interactive conversation experiences.We highlight the possibility of MAGI to enhance education accessibility and improve the overall learning experience.","url":"https://doi.org/10.1145/3680533.3697070","authors":["Zhuoran Zhao","Zhizhuo Yin","Jia Sun","Pan Hui"],"tags":["Embodied cognition","Computer science","Human–computer interaction","Multimedia","Mathematics education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-22","doi":"https://doi.org/10.1145/3680533.3697070","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4403644078","name":"TRANSFORMING OFFSET PRINTING WITH DIGITAL TWINS AND AI: INSIGHTS FROM RESEARCH INITIATIVES","source":"openalex","abstract":"The manufacturing industry has a long tradition in the European Union, being one of the key employers providing jobs for highly skilled and qualified staff. Despite this, the sector is currently facing challenges related to global competition and rising costs, leading to declining profit margins. Additionally, companies are required to meet new environmental initiatives, demanding an ambitious voluntary commitment effort from their side, which has been proven to be difficult to implement. At the same time, manufacturing companies generate vast amounts of unstructured data daily yet struggle to leverage this data for supply chain optimization. This problem is especially noticeable in situations when there are many semi-structured data sources, like the ones found in offset printing operations (images, sensor data, etc.), typically leading to the creation of data silos storage and inefficiencies. Thus, a systematic approach is needed to optimize the process of receiving, combining, and analyzing data, which can, in turn, promote the creation of innovative business models based on manufacturing data. Similarly, the usage of a digital twin in production offers several advantages, primarily enhancing productivity, quality and cost efficiency. This paper presents two use cases illustrating how Digital Twin technologies and the CyclOps platform can be applied to offset printing operations, digitalizing factory processes and enabling AI-driven models, towards achieving Zero-Defect Manufacturing (ZDM), fostering improved efficiency and innovation in the manufacturing process.","url":"https://doi.org/10.24867/grid-2024-p46","authors":["Christos Trochoutsos","\"HELGRAMED - The Hellenic Union of Graphic Arts & Media Technology Engineers, Athens, Greece\"","Alexandros Kalafatelis","Panagiotis Trakadas"],"tags":["Computer science","Offset (computer science)","Human–computer interaction","Data science","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-22","doi":"https://doi.org/10.24867/grid-2024-p46","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4406804796","name":"Innovations in Digital Health From a Global Perspective: Proceedings of PRC‐HI 2024","source":"openalex","abstract":"The rapid evolution of digital health technologies has sparked transformative changes across the healthcare landscape. These advancements were at the heart of discussions during the recent academic conference co-organized by The First Affiliated Hospital, Sun Yat-sen University (FAH-SYSU) and University of California at Berkeley, the Pacific-Rim Conference on Healthcare Innovation (PRC-HI 2024), convening under the theme “The Future of Medicine: Integrating Robotics, AI and Healthcare.” This article distills the key developments and their implications for the future of healthcare, focusing on innovations in robotic surgery, health data science, and AI for medicine. Robotic surgery has become a cornerstone of modern surgical practices, offering enhanced precision, reduced recovery times, and lower complication rates. Dr. Xiaoyu Yin detailed advancements in robot-assisted pancreatic surgeries at FAH-SYSU, emphasizing the hospital's extensive experience with the Da Vinci surgical system. Since 2015, Dr. Yin has performed over 1000 robotic surgeries, including nearly 700 pancreatic resections. These procedures included advanced techniques such as robot-assisted Whipple procedures, organ-preserving pancreatectomies, and total pancreatectomies. His presentation highlighted the learning curves associated with these complex procedures, showcasing research on iterative improvements in surgical outcomes through case refinement and skill enhancement [1, 2]. Similarly, Dr. Junhang Luo presented a novel “gradual renal segmental artery off-clamping” technique for treating large renal tumors. By utilizing preoperative computed tomography (CT) reconstructions, the technique identifies renal arterial branches, allowing surgeons to precisely minimize ischemia to healthy tissue while ensuring effective tumor removal. Clinical data revealed significantly shorter ischemia times, reduced blood loss, and improved long-term renal function compared to traditional methods. Dr. Qingbo Huang shared groundbreaking work on robotic telesurgery, particularly focusing on its applications in regions with limited medical resources. Through successful demonstrations of remote surgeries between Beijing and distant locations such as Sanya, Dr. Huang's research highlighted how low-latency communication networks and advanced robotic systems can overcome geographical barriers [3]. Dr. Chao Cheng discussed the application of robotic surgery in thoracic procedures, particularly for lung cancer and large thymoma. His presentation highlighted how robotic systems enhance surgical precision and reduce recovery times, with notable success in segmentectomies and thymectomies [4]. The integration of 3D visualization and enhanced dexterity offered by robotic systems has transformed the management of challenging thoracic cases [5, 6]. Dr. Peter Nyirady presented on the potential of robotic surgery in addressing global surgical disparities. Highlighting the contributions of Semmelweis University, his team demonstrated how robotic systems have enhanced outcomes in urological surgeries. He also discussed future directions, such as semi-autonomous surgical systems, and the importance of training programs to keep pace with these advancements. Dr. Chris Fitzpatrick elaborated on the use of AI and data analytics in optimizing robotic surgical practices. Through platforms such as Case Insights, his research highlighted how analyzing surgical video data and performance metrics can identify skill gaps and provide actionable feedback for surgeons [7-10]. This approach has the potential to standardize training and improve surgical outcomes globally. Dr. Veronica Ahumada-Newhart introduced the potential of telepresence robots in improving social inclusion for children with mobility impairments. Her studies revealed that these robots enable remote participation in classroom activities, such as attending lessons and engaging in physical education, reducing feelings of isolation and fostering ","url":"https://doi.org/10.1002/hcs2.128","authors":["Xiaoru Feng","Yu Sun","You Wu","You Wu","Haibo Wang","Yang Wu","Yang Wu"],"tags":["Transformative learning","Health care","Robotic surgery","Medicine","Da Vinci Surgical System"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-24","doi":"https://doi.org/10.1002/hcs2.128","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4411472827","name":"Building Sustainable Cities and Communities: Contribution of Digital Twins to a Sustainable Built Environment","source":"openalex","abstract":"The widespread adoption of Digital Twins in the Architecture, Engineering, Construction, and Operation (AECO) industry is transforming project dynamics across multiple phases. Digital Twins promises to optimize workflows, enhance process control, and elevate overall project quality throughout the project lifecycle. Despite the immediate benefits observed, the enduring correlation between Digital Twins and fostering a sustainable built environment requires more in-depth exploration. This paper investigates the pivotal role of Digital Twins in advancing the United Nations Sustainable Development Goal (SDG) number 11, which centers on sustainable cities and communities. Drawing on insights extracted from the existing research, a systematic literature review of published scientific research forms the foundation of this study. A bibliometric analysis is conducted, mapping the current landscape of Digital Twins implementations. Four key themes of the contribution of Digital Twins to sustainable cities and communities emerged from this analysis: energy efficiency, urban mobility, resilience, and urban planning. The main findings shed light on the prevailing research trends, identify key themes, and pinpoint existing gaps in the domain. By unraveling the relationship between Digital Twins and sustainable urban development, this research seeks to inform future strategies and innovations in the AECO industry, fostering environmentally conscious practices. Ultimately, this study contributes valuable insights to the ongoing discourse on integrating Digital Twins to pursue sustainable cities and communities.","url":"https://doi.org/10.7771/3067-4883.2006","authors":["Ahmad AL Ayoubi","Ashtarout Ammar","Hisham Abou-Ibrahim"],"tags":["Built environment","Sustainable community","Sustainable development","Environmental planning","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.2006","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4405254051","name":"Towards Civic Digital Twins: Co-Design the Citizen-Centric Future of Bologna","source":"openalex","abstract":"We introduce Civic Digital Twin (CDT), an evolution of Urban Digital Twins designed to support a citizen-centric transformative approach to urban planning and governance. CDT is being developed in the scope of the Bologna Digital Twin initiative, launched one year ago by the city of Bologna, to fulfill the city's political and strategic goal of adopting innovative digital tools to support decision-making and civic engagement. The CDT, in addition to its capability of sensing the city through spatial, temporal, and social data, must be able to model and simulate social dynamics in a city: the behavior, attitude, and preference of citizens and collectives and how they impact city life and transform transformation processes. Another distinctive feature of CDT is that it must be able to engage citizens (individuals, collectives, and organized civil society) and other civic stakeholders (utilities, economic actors, third sector) interested in co-designing the future of the city. In this paper, we discuss the motivations that led to the definition of the CDT, define its modeling aspects and key research challenges, and illustrate its intended use with two use cases in urban mobility and urban development.","url":"https://doi.org/10.48550/arxiv.2412.06328","authors":["Massimiliano Luca","Bruno Lepri","Riccardo Gallotti","Stefania Paolazzi","Mauro Bigi","Marco Pistore"],"tags":["Co-design","Political science","Citizen science","Civic engagement","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-09","doi":"https://doi.org/10.48550/arxiv.2412.06328","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4415719731","name":"A Semantic Digital Twin-Driven Framework for Multi-Source Data Integration in Forest Fire Prediction and Response","source":"openalex","abstract":"Forest fires have become increasingly frequent and severe due to climate change and intensified human activities, posing critical challenges to ecological security and emergency management. Despite the availability of abundant environmental, spatial, and operational data, these resources remain fragmented and heterogeneous, limiting the efficiency and accuracy of fire prediction and response. To address this challenge, this study proposes a Semantic Digital Twin-Driven Framework for integrating multi-source data and supporting forest fire prediction and response. The framework constructs a multi-ontology network that combines the Semantic Sensor Network (SSN) and Sensor, Observation, Sample, and Actuator (SOSA) ontologies for sensor and observation data, the GeoSPARQL ontology for geospatial representation, and two domain-specific ontologies for fire prevention and emergency response. Through systematic data mapping, instantiation, and rule-based reasoning, heterogeneous information is transformed into an interconnected knowledge graph. The framework supports both semantic querying (SPARQL) and rule-based reasoning (SWRL) to enable early risk alerts, resource allocation suggestions, and knowledge-based decision support. A case study in Sichuan Province demonstrates the framework’s effectiveness in integrating historical and live data streams, achieving consistent reasoning outcomes aligned with expert assessments, and improving decision timeliness by enhancing data interoperability and inference efficiency. This research contributes a foundational step toward building intelligent, interoperable, and reasoning-enabled digital forest systems for sustainable fire management and ecological resilience.","url":"https://doi.org/10.3390/f16111661","authors":["Jicao Dao","Yijing Huang","Xiaoyu Ju","Lizhong Yang","Xinlin Yang","Xiang Liao","Zhenjia Wang","Dapeng Ding"],"tags":["Computer science","Interoperability","Geospatial analysis","Ontology","Data integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-30","doi":"https://doi.org/10.3390/f16111661","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4413824804","name":"The Role of Digital Marketing in Shaping Sustainable Consumption: Insights from a Systematic Literature Review","source":"openalex","abstract":"As global awareness of environmental and social challenges continues to rise, companies are increasingly re-evaluating how they connect with consumers. This study investigates the role of digital marketing in promoting more sustainable consumer behaviours. Based on a systematic review of peer-reviewed literature retrieved from the Scopus database, and conducted following the PRISMA framework, this research analysed 84 academic publications. The findings highlight that strategies such as personalised messaging, social media engagement, influencer collaborations, and eco-conscious branding are significantly influencing purchasing decisions. Approaches rooted in transparency, emotional storytelling, and ethical data practices appear to enhance consumer trust and strengthen brand relationships. Although the field is technically well developed, it remains underexplored in areas such as digital accessibility and ethical governance. Overall, this study suggests that, when aligned with sustainable values, digital marketing becomes more than a promotional tool—it emerges as a key driver of responsible consumption and the cultivation of long-term, value-based connections between consumers and brands.","url":"https://doi.org/10.3390/su17177784","authors":["Albérico Travassos Rosário","Joana Carmo Dias"],"tags":["Sustainable consumption","Consumption (sociology)","Marketing","Systematic review","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.3390/su17177784","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4391575396","name":"The Future of Food","source":"openalex","abstract":"The global food systems face significant challenges driven by population growth, climate change, geopolitical conflicts, crises, and evolving consumer preferences. Intending to address these challenges, optimizing food production, adopting sustainable practices, and developing technological advancements are essential while ensuring the safety and public acceptance of innovations. This review explores the complex aspects of the future of food, encompassing sustainable food production, food security, climate-resilient and digitalized food supply chain, alternative protein sources, food processing, and food technology, the impact of biotechnology, cultural diversity and culinary trends, consumer health and personalized nutrition, and food production within the circular bioeconomy. The article offers a holistic perspective on the evolving food industry characterized by innovation, adaptability, and a shared commitment to global food system resilience. Achieving sustainable, nutritious, and environmentally friendly food production in the future involves comprehensive changes in various aspects of the food supply chain, including innovative farming practices, evolving food processing technologies, and Industry 4.0 applications, as well as approaches that redefine how we consume food.","url":"https://doi.org/10.3390/foods13040506","authors":["Charis M. Galanakis"],"tags":["Food processing","Food security","Business","Adaptability","Food systems"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-06","doi":"https://doi.org/10.3390/foods13040506","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4403975553","name":"Patterns and trends in the use of RFID within the construction industry and Digital Twin architecture: a Latent Semantic Analysis","source":"openalex","abstract":"RFID technology is becoming increasingly popular in various industries due to its simplicity, affordability, and adaptability. However, its integration into the construction industry, particularly within the Digital Twin framework, remains limited. This study reviews current research and case studies on RFID in construction, focusing on its potential combination with Digital Twins. It examines the integration of RFID with BIM, sensors and other techniques to monitor building conditions. Using Latent Semantic Analysis, the study identifies key trends and patterns in the literature, revealing a predominant focus on the standalone use of RFID for localisation and tracking, with limited integration into other technologies. The findings highlight persistent barriers to wider adoption and underscore the need for further research to overcome these challenges.","url":"https://doi.org/10.1080/14786451.2024.2421281","authors":["Iryna Osadcha","Andrius Jurelionis","Paris A. Fokaides"],"tags":["Architecture","Probabilistic latent semantic analysis","Latent class model","Computer science","Latent semantic analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-01","doi":"https://doi.org/10.1080/14786451.2024.2421281","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4407912810","name":"A microfluidic twin islets-on-chip device for on-line electrophysiological monitoring","source":"openalex","abstract":"Pancreatic islets play a major role in glucose homeostasis and diabetes. We have now developed microfluidic islets-on-chip for combined electrophysiology and hormone monitoring with twin chambers long-term monitoring in two islet populations.","url":"https://doi.org/10.1039/d4lc00967c","authors":["Marie Lallouet","Loïc Olçomendy","Julien Gaitan","Killian Montiège","Marie Monchablon","Antoine Pirog","Dorian Chapeau","Emilie Puginier","Sylvie Renaud","Matthieu Raoux","Jochen Lang"],"tags":["Islet","Electrophysiology","Coupling (piping)","Microfluidics","Glucose homeostasis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1039/d4lc00967c","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409247407","name":"Digital twins for asset management: case study of snow galleries in Northern Sweden","source":"openalex","abstract":"The use of digital twin (DT) technology within the engineering and construction (E&C) industry is valuable for practical applications in asset management of structures. Functional DT in E&C, however, are still in initial stages of development. Efforts toward standardisation of concepts and procedures are necessary to build on existing knowledge and drive progress further on functional DT. This paper proposes a DT of a snow gallery, part of the Iron Ore railway in northern Sweden. The gallery was instrumented with a structural health monitoring (SHM) system that feeds data in real time to the DT, which also includes a 3D model of the gallery. The proposed methodology can be replicated to different structures and scaled for larger amounts of data. The SHM data and the 3D digital model of the snow gallery are connected in a single, integrated platform that enables improved decision-making for maintenance of the gallery. To promote clarity and progress within the field, the proposed DT’s maturity level is classified in terms of autonomy, intelligence, learning and fidelity. The snow galleries, the SHM system, and the proposed DT are all presented and discussed, following a brief review on DT, the importance of level classification and predictive maintenance.","url":"https://doi.org/10.1080/15732479.2025.2483913","authors":["Vanessa Saback de Freitas Bello","Jens Eliasson","Cosmin Dăescu","Jaime Gonzalez‐Libreros","Cosmin Popescu","Thomas Blanksvärd","Björn Täljsten","Gabriel Sas"],"tags":["Asset management","Snow","Digital asset management","Asset (computer security)","Risk management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-08","doi":"https://doi.org/10.1080/15732479.2025.2483913","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4410948478","name":"The Impact of Supply Chain Digitalization on Firms' Performance: An Empirical Test of How Resource Specificity Explains the Digitalization Paradox","source":"openalex","abstract":"ABSTRACT Digitalization is a key driver of supply chain innovation. Existing literature has predominantly focused on the potential positive impacts of supply chain digitalization (SCD) on supply chain performance. However, the paradoxical effects of SCD on overall corporate performance have received limited attention. This study addresses this gap by employing paradox theory to analyze the paradoxical relationship between old specific resources and new specific resources brought by SCD. Econometric methods, panel data from 1440 Chinese listed companies, as well as a text mining approach are used to evaluate the impacts of SCD. This study finds that SCD generates dual effects on enterprises due to resource specificity. Aligning with the majority of existing research, this study confirms the positive impacts of SCD on supply chain capabilities. However, SCD also leads to resource redundancy within firms. The dynamic analysis further reveals that the overall impact of SCD on firm performance is initially nonsignificant but becomes positive over time. The distinctiveness of this study lies in its all‐encompassing approach to the effects of SCD by offering a paradoxical perspective. This study adds insights to supply chain literature and provides new explanations to the “digitalization paradox”. This study also has important practical implications for enterprises.","url":"https://doi.org/10.1111/jbl.70023","authors":["Yongqiu Wu","Jie Wang","Senmao Xia","Qile He","Qingcui Zhang"],"tags":["Optimal distinctiveness theory","Supply chain","Business","Industrial organization","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-02","doi":"https://doi.org/10.1111/jbl.70023","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7134052902","name":"Digital twin-based multi-view energy efficiency prediction for machining systems","source":"openalex","abstract":"Energy efficiency prediction (EEP) of machining systems is essential for energy management and planning. However, the structural complexity and coupled energy consumption across hierarchical levels of machining systems present major challenges for EEP. Current prediction methods, largely reliant on historical data and empirical models, struggle to maintain accuracy when machining condition changes. To address this challenge, this study constructs a multi-view EEP model for machining systems based on the digital twin technology. First, a four views (equipment, workpiece, process, and system) EEP framework is constructed containing a physical machining system, virtual machining system, and twin system. Second, three key technologies for realising multi-view EEP, data acquisition and information interactive perception, energy efficiency state identification and dynamic feature extraction, and low-latency real-time predictive model integration are proposed. Finally, a digital twin platform for multi-view EEP of machining systems was developed and validated. The results demonstrate that the proposed multi-view model and platform enable real-time, accurate EEP across machining systems, offering methodological support for energy savings and emissions reduction with broad application potential.","url":"https://doi.org/10.1080/27525783.2026.2634493","authors":["Jie Li","Wei Yan","Meihang Zhang","Shuo Zhu","Zhigang Jiang","Zenglong Fan"],"tags":["Machining","Efficient energy use","Computer science","Energy (signal processing)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-26","doi":"https://doi.org/10.1080/27525783.2026.2634493","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4414634084","name":"A UAV-Aided Digital Twin Framework for IoT Networks with High Accuracy and Synchronization","source":"openalex","abstract":"With the continued growth of its core technologies, including the Internet of Things (IoT), artificial intelligence (AI), Big Data and data analytics, and edge computing, digital twin (DT) technology has witnessed a significant increase in industrial applications, helping the industry become more sustainable, smart, and adaptable. Hence, DT technology has emerged as a promising link between the physical and virtual worlds, enabling simulation, prediction, and real-time performance optimization. This work aims to explore the development of a high-fidelity digital twin framework, focusing on synchronization and accuracy between physical and digital systems to enhance data-driven decision making. To achieve this, we deploy several stationary UAVs in optimized locations to collect data from industrial IoT devices, which were used to monitor multiple physical entities and perform computations to evaluate their status. We consider a practical setup in which multiple IoT devices may monitor a single physical entity, and as a result, the measurements are combined and processed together to determine the status of the physical entity. The resulting status updates are subsequently uploaded from the UAVs to the base station, where the DT resides. In this work, we consider a novel metric based on the Age of Information (AoI), coined as the Age of Digital Twin (AoDT), to reflect the status freshness of the digital twin. Factoring AoDT in the problem formulation ensures that the DT reliably mirrors the physical system with high accuracy and synchronization. We formulate a mixed-integer non-convex program to maximize the total amount of data collected from all IoT devices while ensuring a constrained AoDT. Using successive convex approximations, we solve the problem, conduct extensive simulations and compare the results with baseline approaches to demonstrate the effectiveness of the proposed solution.","url":"https://doi.org/10.48550/arxiv.2504.15967","authors":["Ghofran Khalaf","May Itani","Sanaa Sharafeddine"],"tags":["Computer science","Upload","Big data","Synchronization (alternating current)","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-22","doi":"https://doi.org/10.48550/arxiv.2504.15967","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4401023878","name":"CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins","source":"openalex","abstract":"Current Digital Twin (DT) technology lacks the cognitive capabilities needed for true autonomy and intelligent adaptation. This paper introduces CogTwin, a hybrid cognitive architecture framework for developing Cognitive Digital Twins (CDTs). CogTwin integrates a 50ms cognitive cycle inspired by human cognition, dual knowledge graphs (static Domain Knowledge Repository (DKR) and dynamic Internal Knowledge Graph (DIKG)), a hybrid attention mechanism, and self-healing capabilities. Combining symbolic, sub-symbolic, and neuro-symbolic AI, CogTwin enables real-time learning and decision-making. Simulated smart city scenarios, including traffic incident management and power outage response, demonstrate CogTwin’s potential. Preliminary performance evaluations of the pseudocode suggest feasibility of the target 50ms cycle. The architecture also incorporates explainable AI (XAI) for transparency and human-CogTwin collaboration. CogTwin contributes towards a unified theory of cognition for DTs, laying the groundwork for more sophisticated and autonomous CDTs.","url":"https://doi.org/10.24963/ijcai.2024/1032","authors":["Sukanya Mandal","Noel E. O'Connor"],"tags":["Computer science","Multi-agent system","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-26","doi":"https://doi.org/10.24963/ijcai.2024/1032","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4412556458","name":"A parameter centric service discovery framework for social digital twins in smart City","source":"openalex","abstract":"In the contemporary digital era, the Internet of Things (IoT) and its applications have proliferated extensively, particularly within smart city environments, resulting in increased network traffic and raising the significance of efficient service discovery (SD) mechanisms. The social Internet of Things (SIoT) is an emerging paradigm that enables IoT devices to autonomously establish social relationships based on rules defined by their owners, thereby enhancing services through social relations. Things can interact with others; thus, the huge volume of traffic is increased. Each node or device could select an appropriate peer for the discovery of services, which is thus helpful for human beings. Although numerous service discovery and query processing models have been proposed in the recent literature. However, the existing state-of-the-art approaches often lack a comprehensive analysis of the parameters. Most traditional state-of-the-art models primarily focus on relationships or device similarity. Also neglecting the vital factors, for instance, query processing, efficiency, spatial-temporal dynamics, and service provisioning, etc. Thus, to solve this issue, this research proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for Social IoT and studies their relative importance based on a dataset of real objects. Based on the advanced parameters' selection, an efficient service discovery algorithm is proposed. The proposed model emphasizes efficiency by optimizing the service discovery through reduced social graph traversal (i.e., fewer hops), consideration of the service types, and integration of caching mechanisms. We have conducted a comprehensive analysis of key parameters essential for implementing an effective service discovery mechanism in SIoT, prioritizing based on their importance. Experimental validation demonstrates the superiority of the proposed over state-of-the-art models, confirming its efficacy, scalability.","url":"https://doi.org/10.1038/s41598-025-10423-1","authors":["Farhan Amin","Salabat Khan","Gyu Sang Choi","Muhammad Abid","Isabel de la Torre Díez","Elisabeth Caro Montero","Irene Delgado Noya"],"tags":["Computer science","Data science","Service (business)","Service discovery","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.1038/s41598-025-10423-1","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W7135054246","name":"Cognitive Digital Twin Generations: From Foundational Instruments to Meta-Cognitive Ecosystems","source":"openalex","abstract":"The growing complexity of cyber-physical and socio-technical systems calls for digital twin architectures capable of modeling cognition-driven processes such as perception, reasoning, learning, and reflection. This paper proposes an instrumental and generational framework of cognitive digital twins (CDTs) that formalizes cognition as an explicit and evolvable system property. The framework defines a stable set of cognitive modeling instruments—cognitive analyzer, cognitive emulator and cognitive orchestrator—and introduces four CDT generations: foundational CDTs, self-adaptive CDTs, collective CDTs and meta-cognitive digital ecosystems. The study focuses on foundational cognition modeling as the primary generation and develops a mathematical framework based on the cognitive maturity index and the ontology consistency index to quantify cognitive behavior and semantic coherence. Convergence analysis and representative application scenarios validate the stability of the proposed model. Higher CDT generations are introduced to establish an evolutionary roadmap toward adaptive, collective, and meta-cognitive digital twins. The proposed framework integrates conceptual taxonomy, instrumental typology, and a methodological roadmap for instrument selection and evolution, providing a unified foundation for modeling cognition-driven systems and extending traditional digital twin paradigms.","url":"https://doi.org/10.3390/info17030285","authors":["Igor Kabashkin"],"tags":["Cognition","Computer science","Consistency (knowledge bases)","Set (abstract data type)","Cognitive architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-12","doi":"https://doi.org/10.3390/info17030285","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4416425336","name":"A grey-box temperature model for digital twins of building-integrated rooftop greenhouses","source":"openalex","abstract":"Urban agriculture is increasingly recognized as a strategy for enhancing food security, sustainability, and climate resilience in cities. Building-Integrated Rooftop Greenhouses (BIRTGs) offer a compelling solution by combining food production with building energy synergies. However, accurately predicting indoor temperature in such systems remains challenging due to their low thermal inertia, highly variable heat transfer dynamics, and the complex, time-dependent thermal interactions introduced by crops. This study presents a grey-box temperature model tailored for BIRTGs and designed for integration into Digital Twin (DT) frameworks. The model captures heat exchanges with the outdoor environment, host building, solar radiation, ventilation and plant evapotranspiration. Unlike traditional models, the evapotranspiration component is calibrated using sensor data, bypassing the need for complex crop-specific inputs. The model was calibrated and validated using experimental data from a BIRTG at Universitat Politècnica de Catalunya, both with and without crops. Validation results showed high predictive accuracy, with RMSE values of 2.2 °C without plants and 2.0 °C with plants. Furthermore, a systematic evaluation of 70 dataset combinations revealed that a single day of calibration data is sufficient to accurately forecast temperature over a 24-hour period. These results highlight the suitability of the model for real-time climate control and automation in urban agriculture using DTs.","url":"https://doi.org/10.1016/j.buildenv.2025.114036","authors":["Rubén-Daniel López-Carreño","Marcel Macarulla","Santiago Gassó","Blanca Tejedor","Francesc Pardo-Bosch"],"tags":["Greenhouse","Environmental science","Evapotranspiration","Calibration","Urban heat island"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-20","doi":"https://doi.org/10.1016/j.buildenv.2025.114036","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4320518296","name":"Action Plan for a Sustainable Planet in the Digital Age","source":"openalex","abstract":"Digital transformation is globally pervasive, increasing productivity, disrupting pre-existing business models and leading to diverse innovations with profound implications for the human future. This transformation has enormous potential to support progress towards sustainability, however in its current form it continues to enable and/or encourage unsustainable practices that are degrading natural systems, entrenching inequality and undermining human wellbeing. The Action Plan for a Sustainable Planet in the Digital Age, published by the Coalition for Digital Environmental Sustainability (CODES) identifies three systemic shifts needed to harness digital transformation as a positive and exponential force for progressing environmentally and socially sustainable development. Within each shift, this Action Plan identifies six strategic priorities that must be addressed during the 2022-2025 timeline. The Action Plan also presents 9 global Impact Initiatives, that interested stakeholders can lead, contribute to, or engage in to catalyze systemic transformations. The founding co-champions of CODES include the United Nations Environment Programme (UNEP), the United Nations Development Programme (UNDP), the International Science Council, the German Environment Agency, the Kenya Ministry of Environment and Forestry, Future Earth, and Sustainability in the Digital Age. The co-champions act as the Secretariat for CODES. The contents of this Action Plan are based on a series of open dialogues and collective intelligence processes undertaken with over 1000 stakeholders led by the Secretariat for CODES. More information is available on the CODES Community Page on https://www.sparkblue.org/joincodes","url":"https://doi.org/10.5281/zenodo.6573509","authors":["Coalition for Digital Environmental Sustainability"],"tags":["Planet","Action (physics)","Plan (archaeology)","Action plan","Astrobiology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-02","doi":"https://doi.org/10.5281/zenodo.6573509","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4413968487","name":"Smart Decision-Making: The Role of Digital Twins, Retrieval-Augmented Generation-Enhanced AI, and Learning Analytics","source":"openalex","abstract":"Decision-making in higher education institutions faces complex challenges due to increasing data, regulatory demands, resource management, and changing educational needs. Effective decisions require accurate, timely insights into institutional processes. This study introduces an integrated decision-support approach consisting of Learning Analytics, Digital Twins, and Generative Artificial Intelligence (AI) with Retrieval-Augmented Generation (RAG). The objective is to enhance decision accuracy and operational efficiency in higher education. Learning Analytics provide insights into student performance, teaching effectiveness, and curriculum efficiency. Generative AI with RAG facilitates rapid retrieval and synthesis of institutional documentation and regulatory framework, enhancing decision accuracy. Digital Twins simulate institutional operations, enabling predictive resource planning and infrastructure modeling. Preliminary results indicate significant improvements in strategic planning and resource management by using an integrated decision support approach. Collectively, these technologies transform strategic decision-making and efficiency in higher education, enabling an agile and smart approach, offering a robust solution to contemporary challenges.","url":"https://doi.org/10.5334/uproc.170","authors":["Neven Vrček","Nina Begičević Ređep","Barbara Šlibar","Darko Grabar"],"tags":["Analytics","Computer science","Learning analytics","Data science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-03","doi":"https://doi.org/10.5334/uproc.170","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4414957516","name":"The Role of Digital Twins in Optimizing Renewable Energy Utilization and Energy Efficiency in Manufacturing","source":"openalex","abstract":"Digital twin (DT) technology is revolutionizing manufacturing by bridging the gap between physical and virtual environments, enabling real-time monitoring, simulation, and optimization of processes. This paper explores the pivotal role of DTs in enhancing renewable energy utilization and energy efficiency within manufacturing ecosystems. The study delves into how DTs facilitate renewable energy forecasting, resource scheduling, and integration into manufacturing operations. Through real-time energy flow analysis, DTs aid in identifying inefficiencies, optimizing production processes, and implementing waste heat recovery systems. Specific applications in automotive and electronics manufacturing underscore the transformative impact of DTs, showcasing reductions in energy consumption and operational costs while improving resilience against energy variability. Case studies highlight successful integrations of DTs with renewable energy systems, such as photovoltaic installations, which strategically align energy-intensive activities with peak energy availability. Moreover, this research examines the challenges associated with DT adoption, including high implementation costs, data integration complexities, and organizational resistance, alongside emerging solutions tailored for scalability, particularly for small and medium-sized enterprises (SMEs). Future directions emphasize the incorporation of blockchain and artificial intelligence to enhance energy transaction security, data-driven decision-making, and operational autonomy. The paper also advocates for the development of global standards and supportive policies to foster widespread DT adoption. By showcasing both the current applications and future potential of DTs, this review underscores their critical role in driving sustainability, operational efficiency, and energy resilience in the manufacturing sector.","url":"https://doi.org/10.38035/sijdb.v1i4.262","authors":["Nkemakonam Chidiebube Igbokwe","Charles Onyeka Nwamekwe","Chukwuma Godfrey Ono","Emeka Celestine Nwabunwanne","Patrick Sunday Aguh"],"tags":["Renewable energy","Efficient energy use","Energy engineering","Resilience (materials science)","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-29","doi":"https://doi.org/10.38035/sijdb.v1i4.262","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4403753923","name":"Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation","source":"openalex","abstract":"With the increasing demand for multiple applications on internet of vehicles. It requires vehicles to carry out multiple computing tasks in real time. However, due to the insufficient computing capability of vehicles themselves, offloading tasks to vehicular edge computing (VEC) servers and allocating computing resources to tasks becomes a challenge. In this paper, a multi task digital twin (DT) VEC network is established. By using DT to develop offloading strategies and resource allocation strategies for multiple tasks of each vehicle in a single slot, an optimization problem is constructed. To solve it, we propose a multi-agent reinforcement learning method on the task offloading and resource allocation. Numerous experiments demonstrate that our method is effective compared to other benchmark algorithms.","url":"https://doi.org/10.48550/arxiv.2407.11310","authors":["Yu Xie","Qiong Wu","Pingyi Fan"],"tags":["Computer science","Task (project management)","Enhanced Data Rates for GSM Evolution","Resource allocation","Edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-16","doi":"https://doi.org/10.48550/arxiv.2407.11310","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4405737584","name":"Digital Transformation in the EU: Bibliometric Analysis and Digital Economy Trends Highlights","source":"openalex","abstract":"This study highlights the Digital Transformation issues in recent scientific topics, as well as the trends in the European Union’s Digital Economy dynamics. The aim is to identify key and promising research topics in the digital field and define priorities for adopting digital innovations in the EU in terms of bibliographical and statistical aspects. The study includes a bibliographic analysis using publication metrics statistics, word cloud diagrams, and network clustering. There is also a quantitative analysis of the leading Digital Economy trends in the EU using correlation and cluster analyses and visualizations of the selected economic and Digital Transformation metrics. The results identify critical keywords in digitalization publications related to other key research and multidisciplinary areas. A grouping is proposed of research paper topics and research issues related to Digital Transformation in the EU and worldwide based on the identified trends in recent research proposals. The study examines the correlation of some digital indices and trends in EU countries’ GDP dynamics, R&D investment, and digital inclusion. From the clustering based on the data of a single digital market that promotes e-commerce for individuals and businesses, groups of EU countries have been identified as having the potential to increase digital inclusion and convergence growth rate. The results provide a basis for future research on Digital Transformation and determine the need for further intensification of EU digitalization.","url":"https://doi.org/10.3390/digital5010001","authors":["Dmytro Zherlitsyn","Kostadin Kolarov","Nataliia Rekova"],"tags":["Digital transformation","Digital economy","Transformation (genetics)","Political science","Regional science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-24","doi":"https://doi.org/10.3390/digital5010001","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4395659808","name":"A Digital Twin Design Based on Robot Workstation","source":"openalex","abstract":"With the rapid development of intelligent manufacturing industry and the proposal of Made in China 2025 and Industry 4.0, Digital Twins DT has rapidly become a craze. Through the interaction between the physical object and the virtual model, the mapping is completed in the virtual simulation space, so as to reflect the actual operation process of the whole life cycle of the corresponding equipment workstation. The main structural content of this article is the research background and significance of digital twin technology, the current research status at home and abroad, the establishment of Solidworks physical models, the construction of PDPS (Process Designer&Process Simulate) workstations, and virtual simulation. Completed the construction of the robot seven color board assembly workstation, established a model of the assembly workstation, and combined this model with PDPS to simulate the workstation. Finally, the principle of connection communication and the achievement diagram were elaborated.","url":"https://doi.org/10.5954/icarob.2024.os4-1","authors":["Huahao Li"],"tags":["Workstation","Computer science","Robot","Computer graphics (images)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-22","doi":"https://doi.org/10.5954/icarob.2024.os4-1","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409345902","name":"MonoAlg3D: Enabling Cardiac Electrophysiology Digital Twins with an Efficient Open Source Scalable Solver on GPU Clusters","source":"preprints","abstract":"ABSTRACT Modelling and simulation are essential in biomedicine, and specifically in computational cardiology. Reliable, efficient and accurate solvers are critical. This study presents an open source, GPU-based cardiac electrophysiology solver for scalable digital twin multiscale simulations (M ono A lg 3D), incorporating conduction system calibration and performance optimization. The solver employs the monodomain equation coupled with the Purkinje network, solved via the finite volume method, featuring a GPU-based linear solver and concurrent simulation dispatch with MPI. We demonstrate a 10.94× speedup over a CPU-based solution and scalability by running 512 simulations on 128 compute nodes, completing all coarse-mesh simulations in less than 24 minutes and fine-mesh simulations in 303 minutes. We also demonstrate integration into a cardiac digital twin pipeline for personalisation based on clinical data. The proposed open source solver enhances computational efficiency and physiological fidelity, enabling large-scale, high-speed cardiac simulations. This work marks a significant step toward fast and scalable cardiac simulations on GPU architectures, with integration in a Digital Twin personalisation pipeline including the conduction system.","url":"https://doi.org/10.1101/2025.04.09.647733","authors":["Lucas Arantes Berg","Rafael Sachetto Oliveira","Julià Camps","Zhinuo Jenny Wang","Rubén Doste","Alfonso Bueno‐Orovio","Rodrigo Weber dos Santos","Blanca Rodríguez"],"tags":["Computer science","Scalability","Solver","Open source","Parallel computing"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1101/2025.04.09.647733","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"oa:W4393033795","name":"Resilient Operations in Space with Digital Twin Integration for Solar PV and Energy Storage","source":"openalex","abstract":"Space missions would not be possible without an available, reliable, autonomous, and resilient power system. Space-based power systems are different than Earth’s grid in terms of generation sources, needs, structure, and controllability. This research paper introduces a groundbreaking approach employing digital twin technology to emulate and enhance the performance of a physical nanogrid plant representing such a space-based power system. The proposed system encompasses three DC converters, a DC source, and a modular battery storage unit feeding a variable load. Rigorous testing across diverse operating points establishes the digital twin’s high-fidelity real-time representation, with root mean square error (RMSE) values consistently below 5%. The principal innovation lies in leveraging this digital twin to fortify system resilience against unforeseen events, beyond the capabilities of existing controllers and autonomy levels. By simulating scenarios that the current system may not be primed for, the digital twin provides operators with the tools to proactively respond to disruptions. Importantly, the approach offers an invaluable tool for scenarios where physical access to components is limited. This research introduces a modular battery storage solution as a key augmentation, capable of seamlessly compensating for power shortages at the source end that might arise from the dust effect on the Lunar surface or unexpected faults in the system. The proposed holistic approach not only validates the fidelity of the digital twin but also underscores its potential to revolutionize system operation, safeguard against uncertainties, and expedite response strategies in the face of unexpected contingencies. The proposed approach also paves the way for future development.","url":"https://doi.org/10.31224/3628","authors":["Shayan Ebrahimi","Mohammad Seyedi","SM Safayet Ullah","Farzad Ferdowsi"],"tags":["Space (punctuation)","Energy storage","Photovoltaic system","Solar energy","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-21","doi":"https://doi.org/10.31224/3628","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4392986112","name":"A Novel Authentication Scheme Based on Verifiable Credentials Using Digital Identity in the Context of Web 3.0","source":"openalex","abstract":"This paper explores the concept of digital identity in the evolving landscape of Web 3.0, focusing on the development and implications of a novel authentication scheme using verifiable credentials. The background sets the stage by placing digital identity within the broad context of Web 3.0′s decentralized, blockchain-based internet, highlighting the transition from earlier web paradigms. The methods section outlines the theoretical framework and technologies employed, such as blockchain, smart contracts, and cryptographic algorithms. The results summarize the main findings, including the proposed authentication scheme’s ability to enhance user control, security, and privacy in digital interactions. Finally, the conclusions discuss the broader implications of this scheme for future online transactions and digital identity management, emphasizing the shift towards self-sovereignty and reduced reliance on centralized authorities.","url":"https://doi.org/10.3390/electronics13061137","authors":["Ștefania Loredana Niță","Marius Iulian Mihăilescu"],"tags":["Identity management","Digital identity","Verifiable secret sharing","Identity (music)","Authentication (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-20","doi":"https://doi.org/10.3390/electronics13061137","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7135078395","name":"Not all twins are identical: the geography of “twin” transition market applications","source":"openalex","abstract":"The twin (a joint green and digital) transition plays a key role in achieving Europe's Green Deal objectives. However, the interplay between regional capabilities and twin transition market applications is not well understood. This study employs Large Language Models to analyze web content from over 600,000 firms across German regions, identifying product-level contributions to the green and digital economy. The results indicate that artificial intelligence (AI) capabilities and the overall level of regional specialization are positively associated with the twin transition market applications. In contrast, we find no direct association between clean and twin (digital and clean) technological capabilities and the twin transition. This finding suggests that additional place-based conditions may be necessary to translate clean and twin technological capabilities into market applications. To support further research and evidence-based policymaking, we provide open access to the underlying dataset and the TwinTransition Mapper , our AI-based classification tool ( https://huggingface.co/TwinTransitionMapper ).","url":"https://doi.org/10.1016/j.apgeog.2026.103974","authors":["Milad Abbasiharofteh","Lukas Kriesch"],"tags":["Economic geography","Transition (genetics)","Geography","Regional science","Economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-11","doi":"https://doi.org/10.1016/j.apgeog.2026.103974","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4402642848","name":"Research on Model Reduction of AUV Underwater Support Platform Based on Digital Twin","source":"openalex","abstract":"Digital twin technology, as a data-driven and model-driven innovation means, plays a crucial role in the process of digital transformation and intelligent upgrading of the marine industry, helping the industry to move towards a new stage of more intelligent and efficient development. In order to solve the defects of the Autonomous Underwater Vehicle (AUV) underwater support platform structure deformation field, digital twin technology and model reduction technology are applied to an AUV underwater support platform, and a five-dimensional digital twin model of the AUV underwater support platform is studied, including five dimensions: physical world, digital world, twin data center, service application, and data connection. The digital twin of the subsea support platform is established by using the digital twin modeling technology. The POD method is used to calculate the deformation field matrix of the support structure of the subsea support platform under the 0–5 sea state, and the corresponding eigenvalues and eigenvectors are obtained. By intercepting the eigenvectors corresponding to the eigenvalues of the high energy proportion, the low-order equation is constructed, and the reduced-order model under each sea state can be quickly solved. The experimental results show that the model reduction technology can greatly shorten the model solving time, and the calculated results are highly consistent with the simulation results of the finite element full-order model, which can realize the rapid analysis of the deformation response of the subsea support platform structure, and provide a theoretical basis and technical support for the subsequent simulation, state evaluation, visual monitoring, and predictive maintenance.","url":"https://doi.org/10.3390/jmse12091673","authors":["Daohua Lu","Yichen Ning","Jia Wang","Kaijie Du","Cancan Song"],"tags":["Underwater","Reduction (mathematics)","Marine engineering","Computer science","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-19","doi":"https://doi.org/10.3390/jmse12091673","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4400414640","name":"Revolutionizing Smiles: Advancing Orthodontics Through Digital Innovation","source":"openalex","abstract":"Orthodontics is undergoing a digital revolution, transforming traditional techniques with modern technology. This evolution is driven by the need for precise diagnosis and treatment planning. Digital platforms, including digital radiography and cone beam computed tomography (CBCT), are replacing conventional methods, enhancing documentation, analysis, and appliance production. Three-dimensional imaging enables customized treatment plans and appliance design using computer-aided design and computer-aided manufacture (CAD/CAM). Integration of digital models and software facilitates treatment simulation and patient communication. Digital videography enhances diagnostic capabilities. Embracing digital processes is essential for improved patient care and practice efficiency in orthodontics. This review article on digital orthodontics aims to provide a comprehensive overview and critical analysis of the current advancements, technologies, applications, benefits, and challenges in the field of orthodontics utilizing digital tools and technologies.","url":"https://doi.org/10.7759/cureus.64086","authors":["Ruchika Pandey","Ranjit Kamble","Harikishan Kanani"],"tags":["Medicine","Orthodontics","Dentistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-08","doi":"https://doi.org/10.7759/cureus.64086","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4403817442","name":"Digital Twins of Supply Chains: A Systems Approach","source":"openalex","abstract":"We tackle the problem of digitalisation of Supply Chains, focusing on collaboration and sharing of information. By generalising the notion of Digital Twins, we review, develop, and conceptualise the (emerging) notion of Digital Twins of Supply Chains (DTofSC). Whereas Digital Twins is an active research area with data available from numerous industry projects, its application to Supply Chains is just emerging as a cross-discipline stemming from decades of maturing the notion of Digital Supply Chains. Whereas Digital Twins has been used in Supply Chains, the notion of digitalisation of Supply Chains is only a nascent area, with imprecise definition beyond key metaphors (e.g., visibility, traceability); as we conceptualise, the overall vision is to create technical and organisational mechanisms enabling any Supply Chain to be monitored and controlled from, e.g., a dashboard screen. After a literature review on the intersections between Digital Supply Chains, Digital Twins, and digital technologies (e.g. Blockchain), we (1) propose a synthesis systems architecture of DTofSC, (2) identify a key requirement gap (that we term addressability), and (3) to ground our contributions and in the absence of real-world use-cases in practice, we apply our conceptualised systems architecture to battery recycling based on feedback from an industry-targeted workshop.","url":"https://doi.org/10.36227/techrxiv.24073527.v4","authors":["Vítor Jesus","Dimitra Kalaitzi","Luciano Batista","Nestor Leal Lopez"],"tags":["Supply chain","Business","Computer science","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.36227/techrxiv.24073527.v4","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7134970444","name":"Future-Proofing Heritage Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation","source":"openalex","abstract":"The preservation of cultural heritage faces increasing challenges from environmental, climatic, and anthropogenic pressures. The ARGUS Horizon Europe project addresses these challenges by proposing an innovative predictive preservation approach that leverages AI-driven digital twins and multimodal data fusion to assess and mitigate risks to heritage sites. Our research focuses on developing a sustainable, dynamic decision support system (DSS) that integrates multi-scale on-site and remote sensing data, enabling holistic heritage management, while focusing on the preventive rather than the reactive aspects. The primary research question treated in this paper relates to how digital twins incorporating multi-dimensional data and an ontology background enhance the preservation and adaptive management of cultural heritage in a changing environment.","url":"https://doi.org/10.64888/caaproceedings.v52i1.942","authors":["George Pavlidis","Anestis Koutsoudis","Despoina Tsiafaki","Melpomeni Karta","Vasileios Sevetlidis","Vasileios Arampatzakis","Apostolos Sarris","Miltiadis Polidorou","Victor Klinkenberg","Zeyd Boukhers","Lingxiao Kong","Emeri Farinetti","Fernando Moreno Navarro","Ioannis Kakogiannos","Sofia Aparicio","Javier Ortega Heras","Fernando Ramonet","Athos Agapiou","Stylianos Hadjipetrou","Kyriakos Michaelides","Stavros Patsalidis","Phaedon Kyriakidis","Apostolos Papakonstantinou","Demetrios Athanasoulis","Christos Maris","Themistoklis Vakoulis","Tomoki Nagata","Katrin Beyer","Savvas Saloustros"],"tags":["Cultural heritage","Digital preservation","Ontology","Cultural heritage management","Industrial heritage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.64888/caaproceedings.v52i1.942","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4407560445","name":"Clinical aspects of digital twins in medicine: a systematic review","source":"openalex","abstract":"","url":"https://doi.org/10.1140/epjs/s11734-025-01518-x","authors":["А. А. Гаранин","O. Yu. Aidumova","А. V. Kontsevaya"],"tags":["Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-14","doi":"https://doi.org/10.1140/epjs/s11734-025-01518-x","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4405265656","name":"An FsQCA and NCA Analysis on the Drivers and Comprehensive Impact Analysis of the Implementation of Digital Twins","source":"openalex","abstract":"The adoption of digital technology is one of the key processes in the digital transformation of China's construction industry. As a representative digital technology in the digital transformation process of Construction 4.0, digital twin technology has attracted widespread attention in various fields, and its practical application is also growing rapidly. However, its implementation in the construction industry (CI) still faces major challenges. Although previous studies have made significant progress in understanding the drivers and barriers to the implementation of digital twins (DTs) in the CI, these studies have neglected to explore the comprehensive impact of various factors, and the configuration relationship between them remains unclear. This study uses a quantitative method to conduct a questionnaire survey to obtain 33 case sample data. Necessary condition analysis (NCA) and fuzzy set qualitative comparative analysis (FsQCA) methods are used for antecedent configuration analysis. The results show that: (1) The successful deployment of DTs in the CI does not depend on any single determinant, but is the adaptive result of the synergistic effect of multiple antecedent variables; (2) Six critical factors affecting the implementation of DTs in China's CI are identified, which can be summarized into four different causal paths or configurations, which are conducive to the implementation of DTs in China's CI. This study further explores and clarifies the comprehensive impact of antecedent variables on the implementation of DTs in China's CI provides a reference for the practice of digital transformation in the CI.","url":"https://doi.org/10.37934/araset.53.2.283298","authors":["Terh Jing Khoo","Jiao Wang","Muneera Esa","Jiachen Sun"],"tags":["Qualitative comparative analysis","Antecedent (behavioral psychology)","Sample (material)","Digital transformation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-11","doi":"https://doi.org/10.37934/araset.53.2.283298","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4406359717","name":"Constructing Digital-Twin Roadways for Testing and Evaluation of Autonomous Roadside Mowing Vehicles","source":"openalex","abstract":"In Indiana, roadside mowing operations span over 11,000 miles and are performed by contracted crews using tractors and hand-held trimmers, exposing workers to significant safety risks, including reported casualties. Autonomous mowers offer a promising solution to enhance safety, but large-scale deployment requires rigorous testing to ensure reliability. This study addresses this need by developing digital-twin roadside environments to evaluate autonomous mowing systems. The method generates realistic roadways that accurately replicate real-world conditions, achieving single-float rounding planar accuracy over tens of meters, enabling risk-free and comprehensive testing. Leveraging remote sensing data, model libraries, and a georeferenced data mapping tool, the approach overcomes challenges in scalability and fidelity, even in locations with low-density source data. Digital roadway construction accelerates testing, enhances the realism of virtual deployments, and supports the development of autonomous mowing technologies. Furthermore, this approach has broader applications for generating test environments for various roadway-related systems.","url":"https://doi.org/10.36227/techrxiv.173687650.09495419/v1","authors":["Michael A Mardikes","John T Evans","Ethan M Brown","Nathan C Sprague","Timothy J Wiegman","Gregory M. Shaver"],"tags":["Transport engineering","Computer science","Automotive engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-14","doi":"https://doi.org/10.36227/techrxiv.173687650.09495419/v1","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402270849","name":"Enhancing Signature Verification Using Triplet Siamese Similarity Networks in Digital Documents","source":"openalex","abstract":"In contexts requiring user authentication, such as financial, legal, and administrative systems, signature verification emerges as a pivotal biometric method. Specifically, handwritten signature verification stands out prominently for document authentication. Despite the effectiveness of triplet loss similarity networks in extracting and comparing signatures with forged samples, conventional deep learning models often inadequately capture individual writing styles, resulting in suboptimal performance. Addressing this limitation, our study employs a triplet loss Siamese similarity network for offline signature verification, irrespective of the author. Through experimentation on five publicly available signature datasets—4NSigComp2012, SigComp2011, 4NSigComp2010, and BHsig260—various distance measure techniques alongside the triplet Siamese Similarity Network (tSSN) were evaluated. Our findings underscore the superiority of the tSSN approach, particularly when coupled with the Manhattan distance measure, in achieving enhanced verification accuracy, thereby demonstrating its efficacy in scenarios characterized by close signature similarity.","url":"https://doi.org/10.3390/math12172757","authors":["Sara Tehsin","Ali Hassan","Farhan Riaz","Inzamam Mashood Nasir","Norma Latif Fitriyani","Muhammad Syafrudin"],"tags":["Signature (topology)","Similarity (geometry)","Computer science","Biometrics","Authentication (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-05","doi":"https://doi.org/10.3390/math12172757","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4396701509","name":"Thermal Digital Twins of Asphalt Pavements using Physics-informed Neural Networks","source":"openalex","abstract":"To address the adverse effects of climate change on road surfaces, the creation of a thermal digital twin for asphalt pavements is proposed in this paper.The global increase in temperatures, coupled with heavy traffic loads, has resulted in the premature deterioration of asphalt roads.In response to these early failures, recent efforts have focused on enhancing pavement structural integrity by incorporating asphalt modifiers and cool pavement strategies.Regardless of the chosen approach, continuous monitoring of pavement characteristics using embedded sensors plays a crucial role in enabling timely maintenance and rehabilitation (M&R) decisions.One of the ways to achieve this is through the estimation of the thermal diffusivity of the pavement layers which can be directly related to structural condition.To estimate the diffusivity, an inverse-Physics-informed Neural Network model is proposed, which facilitates the integration of sensor data and the heat transfer mechanisms within the pavement.A finite-difference numerical model is adopted to serve as the groundtruth model, to provide the temperature data within the pavement layer, given the boundary conditions.Using the weather data of Dubai, this study has shown the feasibility of adopting Physics-informed Neural Networks (PINNs) to predict the temperature within the pavement layer, despite the complex mixed boundary conditions.Moreover, the i-PINN can be used to estimate the thermal diffusivity with an error of around 0.0001 m 2 /h, using temperature data taken from five depths of the asphalt layer.The contribution of this study, is therefore, a novel condition monitoring of asphalt pavements that can significantly improve existing road maintenance programs.","url":"https://doi.org/10.11159/icgre24.157","authors":["Deepthi Mary Dilip"],"tags":["Thermal","Asphalt","Artificial neural network","Computer science","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-01","doi":"https://doi.org/10.11159/icgre24.157","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W7155625697","name":"Integration of AI and Digital Twin Technology for Smart Infrastructure Management in Urban Cities","source":"openalex","abstract":"The rapid growth of urban populations presents significant challenges in infrastructure management, including increased maintenance costs, energy inefficiencies, and rising risks of structural failures. To address these issues, integrating Artificial Intelligence (AI) and Digital Twin technology has emerged as a promising approach for predictive infrastructure management. This study aims to evaluate the effectiveness of AI and Digital Twin integration in improving urban infrastructure resilience, optimizing maintenance strategies, and enhancing energy efficiency. A case study methodology was employed, utilizing real-time data from IoT sensors and historical maintenance records to develop AI-driven predictive models. The research applied machine learning algorithms, including Decision Tree, Random Forest, and Long Short-Term Memory (LSTM), for failure prediction, combined with Digital Twin simulations to optimize infrastructure management. The results indicate that the AI-based predictive failure model achieved an accuracy of 92%, significantly reducing the risk of infrastructure failure by 70%. Furthermore, the integration of AI and Digital Twin led to a 60% reduction in maintenance costs and a 35% improvement in energy efficiency, particularly in urban lighting and public facility management. These results demonstrate that the adoption of AI and Digital Twin technology can transform conventional infrastructure management by enabling proactive and cost-effective maintenance strategies. This study contributes to the growing body of knowledge on smart city infrastructure by providing empirical evidence on the benefits of AI-driven predictive analytics and Digital Twin simulations in enhancing urban sustainability and operational efficiency","url":"https://doi.org/10.51903/t881qw28","authors":["Angga Setyadi Tommy","Reja Putra Jaya"],"tags":["Predictive maintenance","Sustainability","Predictive analytics","Computer science","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-28","doi":"https://doi.org/10.51903/t881qw28","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7124418503","name":"Accelerating fused filament fabrication FFF optimization with AI-Powered digital twins and High-Fidelity simulations","source":"openalex","abstract":"Abstract This study introduces a novel AI-based prediction framework for Fused Filament Fabrication (FFF) process optimization, integrating high-fidelity simulation with machine learning and design of experiments (DOE) analysis. In the proposed approach, a full-factorial DOE matrix is employed to drive Digimat-AM, a physics-based thermo-mechanical simulation tool, generating an exhaustive dataset to train six machine learning models (Random Forest, XGBoost, ANN, SVR, AdaBoost, and KNN). These models predict four critical responses: deflection, residual stress, print time, and shape tolerance (dimensional accuracy), and their performance is benchmarked against classical DOE response-surface models. The AI models exhibit outstanding predictive accuracy: ensemble methods (Random Forest, XGBoost) achieved near-perfect agreement with simulation outputs, significantly outperforming DOE models. Interpretability is ensured via 3D response-surface plots, which illustrate the influence of parameter interactions and align with known thermo-mechanical trends. This combination of predictive fidelity and transparent analysis delivers valuable design insights and practical utility. The trained ML models serve as fast surrogates (digital twins), enabling rapid “what-if” scenario exploration and reducing reliance on trial-and-error in print optimization. This AI-driven framework streamlines additive manufacturing workflows by accelerating process tuning and laying the foundation for intelligent, data-driven FFF optimization.","url":"https://doi.org/10.1007/s00170-025-17219-7","authors":["Baha Eddine Ben Brayek","Y. Qarssis","Abdellatif Ghennioui","Abdelkhalak El. Hami","Mostapha Tarfaoui"],"tags":["Interpretability","Workflow","Design of experiments","Process (computing)","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"https://doi.org/10.1007/s00170-025-17219-7","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400799629","name":"Predicting Contrast Sensitivity Functions with Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4630881/v1","authors":["Yukai Zhao","Luis Andres Lesmes","Michael Dörr","Zhong‐Lin Lu"],"tags":["Contrast (vision)","Sensitivity (control systems)","Computer science","Mathematics","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-19","doi":"https://doi.org/10.21203/rs.3.rs-4630881/v1","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402054075","name":"The Impact of Digital Literacy on Farmers’ Green Production Behavior: Mediating Effects Based on Ecological Cognition","source":"openalex","abstract":"Farmers’ green production behavior is one of the main determinants of the sustainability of the agricultural economy. In this study, Ordered Logit, OLS, and 2SLS models were conducted to evaluate the impact of digital literacy on farmers’ green production behavior. On this basis, the Propensity Score Matching (PSM) method was conducted to deal with the endogeneity bias that may result from the sample self-selection problem. We also adopt the mediation effect model to test the mediating mechanism of ecological cognition between digital literacy and farmers’ green production behavior. The results showed that three different types of digital literacy significantly improved farmers’ green production behavior. We also found that farmers’ green production behavior improved by 19.87%, 15.92%, and 24.16% through digital learning, social, and transaction literacy. Meanwhile, the mediating effect showed that digital literacy improves farmers’ green production behavior by increasing ecological cognition. We demonstrate that three different types of digital literacy significantly improved farmers’ green production behavior. Therefore, policies to increase digital literacy among farmers should be further improved to promote farmers’ green production behavior.","url":"https://doi.org/10.3390/su16177507","authors":["Xiao Liu","Zhenyu Wang","Xiaoyan Han"],"tags":["Cognition","Production (economics)","Psychology","Literacy","Digital literacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-30","doi":"https://doi.org/10.3390/su16177507","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4407758838","name":"Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges (Preprint)","source":"openalex","abstract":"BACKGROUND Digital twins (DTs) are digital representations of real-world systems, enabling advanced simulations, predictive modeling, and real-time optimization in various fields, including health care. Despite growing interest, the integration of DTs in health care faces challenges such as fragmented applications, ethical concerns, and barriers to adoption. OBJECTIVE This study systematically reviews the existing literature on DT applications in health care with three objectives: (1) to map primary applications, (2) to identify key challenges and limitations, and (3) to highlight gaps that can guide future research. METHODS A meta-review was conducted in a systematic fashion, adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, and included 25 literature reviews published between 2021 and 2024. The search encompassed 5 databases: PubMed, CINAHL, Web of Science, Embase, and PsycINFO. Thematic synthesis was used to categorize DT applications, stakeholders, and barriers to adoption. RESULTS A total of 3 primary DT applications in health care were identified: personalized medicine, operational efficiency, and medical research. While current applications, such as predictive diagnostics, patient-specific treatment simulations, and hospital resource optimization, remain in their early stages of development, they highlight the significant potential of DTs. Challenges include data quality, ethical issues, and socioeconomic barriers. This review also identified gaps in scalability, interoperability, and clinical validation. CONCLUSIONS DTs hold transformative potential in health care, providing individualized care, operational optimization, and accelerated research. However, their adoption is hindered by technical, ethical, and financial barriers. Addressing these issues requires interdisciplinary collaboration, standardized protocols, and inclusive implementation strategies to ensure equitable access and meaningful impact. CLINICALTRIAL","url":"https://doi.org/10.2196/preprints.69544","authors":["Mickaël Ringeval","Faustin Armel Etindele Sosso","Martin Cousineau","Guy Paré"],"tags":["Preprint","Meta-analysis","Computer science","Medicine","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-02","doi":"https://doi.org/10.2196/preprints.69544","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4405953830","name":"Development of a Digital Twin of the Harbour Waters and Surrounding Infrastructure Based on Spatial Data Acquired with Multimodal and Multi-Sensor Mapping Systems","source":"openalex","abstract":"Digital twin is an attractive technology for the representation of objects due to its ability to produce precise measurements and their geovisualisation. Of special interest is the application and fusion of various remote sensing techniques for shallow river and inland water areas, commonly measured using conventional surveying or multimodal photogrammetry. The construction of spatial digital twins of river areas requires the use of multi-platform and multi-sensor measurements to obtain reliable data of the river environment. Due to the high dynamics of river changes, the cost of measurements and the difficult-to-access measurement area, the mapping should be large-scale and simultaneous. To address these challenges, the authors performed an experiment using three measurement platforms (boat, plane, UAV) and multiple sensors to acquire both cloud and image spatial data, which were integrated temporally and spatially. The integration methods improved the accuracy of the resulting digital model by approximately 20 percent.","url":"https://doi.org/10.3390/app15010315","authors":["Arkadiusz Tomczak","G. Stępień","Tomasz Kogut","Łukasz Jedynak","Grzegorz Zaniewicz","Małgorzata Łącka","Izabela Bodus-Olkowska"],"tags":["Harbour","Computer science","Cartography","Geography","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-31","doi":"https://doi.org/10.3390/app15010315","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4392824294","name":"Plotinus: A Satellite Internet Digital Twin System","source":"openalex","abstract":"The development of an integrated space-air-ground network (SAGIN) requires sophisticated satellite Internet emulation tools that can handle complex, dynamic topologies and offer in-depth analysis. Existing emulation platforms struggle with challenges like the need for detailed implementation across all network layers, real-time response, and scalability. This paper proposes a digital twin system based on microservices for satellite Internet emulation, namely Plotinus, which aims to solve these problems. Plotinus features a modular design, allowing for easy replacement of the physical layer to emulate different aerial vehicles and analyze channel interference. It also enables replacing path computation methods to simplify testing and deploying algorithms. In particular, Plotinus allows for real-time emulation with live network traffic, enhancing practical network models. The evaluation result shows Plotinus's effective emulation of dynamic satellite networks with real-world devices. Its adaptability for various communication models and algorithm testing highlights Plotinus's role as a vital tool for developing and analyzing SAGIN systems, offering a cross-layer, real-time and scalable digital twin system.","url":"https://doi.org/10.48550/arxiv.2403.08515","authors":["Yue Gao","Kun Qiu","Zhe Chen","Wenjun Zhu","Qi Zhang","Handong Luo","Quanwei Lin","Ziheng Yang","Wenhao Liu"],"tags":["Satellite","The Internet","Computer science","Telecommunications","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-13","doi":"https://doi.org/10.48550/arxiv.2403.08515","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4404116642","name":"Revisiting the sustainable industrialization paradigm in Africa : Exploring the influence of digitalization","source":"openalex","abstract":"Abstract This research contributes to the ongoing discourse surrounding the sustainable industrialization of African nations, a pivotal aspect emphasized by the United Nations within the Sustainable Development Goals. Drawing inspiration from the burgeoning digitalization trends across Africa, this study examines the role of digitalization in mediating the environmental repercussions of industrialization within the 45 African countries spanning the years 2000–2022. The assessment of environmental sustainability is gauged through ecological footprint and biocapacity. Employing the Environmental Kuznets Curve, and the Stochastic Impacts by Regression on Population, Affluence, and Technology framework, empirical analyses leverage the Generalized Method of Moments and the mediation analysis using structural equation modeling to unveil insightful findings. The research findings highlight the detrimental impact of industrialization on ecological health, evidenced by its correlation with an increase in ecological footprint and a decrease in biocapacity. Conversely, digitalization emerges as a positive influence on environmental well‐being. These findings remain consistent across diverse categorizations of digitalization, and ecological balance. Further examination of their interplay reveals a discernible favorable impact on environmental sustainability, with mediation analysis suggesting that digitalization mitigates approximately 4% and 6% of the overall impact of industrialization on ecological footprint and biocapacity, respectively. Additionally, our analysis lends credence to the Environmental Kuznets Curve hypothesis. As a result, it is imperative for governments to incentivize industries to adopt eco‐friendly practices and technologies in order to mitigate their ecological footprint. At the same time, policies that promote digitalization should be encouraged to further enhance environmental quality.","url":"https://doi.org/10.1002/sd.3248","authors":["Germain Stephane Ketchoua","Elvis Korku Avenyo","Fiona Tregenna"],"tags":["Industrialisation","Sustainable development","Economics","Economic geography","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-06","doi":"https://doi.org/10.1002/sd.3248","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407806341","name":"Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development","source":"openalex","abstract":"The Fourth Industrial Revolution (4IR) technologies, such as cloud computing, machine learning, and AI, have improved productivity but introduced challenges in workforce training and reskilling. This is critical given existing workforce shortages, especially in marginalized communities like Underrepresented Minorities (URM), who often lack access to quality education. Addressing these challenges, this research presents gAI-PT4I4, a Generative AI-based Personalized Tutor for Industrial 4.0, designed to personalize 4IR experiential learning. gAI-PT4I4 employs sentiment analysis to assess student comprehension, leveraging generative AI and finite automaton to tailor learning experiences. The framework integrates low-fidelity Digital Twins for VR-based training, featuring an Interactive Tutor - a generative AI assistant providing real-time guidance via audio and text. It uses zero-shot sentiment analysis with LLMs and prompt engineering, achieving 86\\% accuracy in classifying student-teacher interactions as positive or negative. Additionally, retrieval-augmented generation (RAG) enables personalized learning content grounded in domain-specific knowledge. To adapt training dynamically, finite automaton structures exercises into states of increasing difficulty, requiring 80\\% task-performance accuracy for progression. Experimental evaluation with 22 volunteers showed improved accuracy exceeding 80\\%, reducing training time. Finally, this paper introduces a Multi-Fidelity Digital Twin model, aligning Digital Twin complexity with Bloom's Taxonomy and Kirkpatrick's model, providing a scalable educational framework.","url":"https://doi.org/10.48550/arxiv.2502.14080","authors":["Yu-Zheng Lin","Karan Petal","Ahmed Hussain J Alhamadah","Sujan Ghimire","Matthew William Redondo","David Rafael Vidal Corona","Jesús Pacheco","Soheil Salehi","Pratik Satam"],"tags":["Generative grammar","Shot (pellet)","Workforce","One shot","Zero (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-19","doi":"https://doi.org/10.48550/arxiv.2502.14080","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4406586688","name":"DIGITAL TWINS IN CONSTRUCTION: CREATING REAL-TIME REPLICAS OF LARGE-SCALE PROJECTS","source":"openalex","abstract":"Integrating digital twins in construction represents a transformative leap in project management and operational efficiency. These dynamic virtual replicas of physical assets enable real-time monitoring, performance simulation, and optimization throughout the construction lifecycle. Despite technological, organizational, and financial barriers, their adoption shows promising results, including significant cost savings and operational improvements. This paper explores how digital twins optimize planning, enhance risk management, and allow remote inspections, contributing to efficiency, sustainability, and cost-effectiveness. Emerging applications in disaster resilience and economic impact, combined with future research directions like AI integration and urban infrastructure modeling, underscore their potential to revolutionize the construction industry. Keywords—Digital twins, construction management, real-time monitoring, disaster resilience, economic impact, AI integration, sustainability, Building Information Modeling (BIM), Internet of Things (IoT).","url":"https://doi.org/10.55041/ijsrem40755","authors":["Chesapeake, USA","Aditya Pandit"],"tags":["Scale (ratio)","Computer science","Geography","Cartography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-13","doi":"https://doi.org/10.55041/ijsrem40755","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7162846669","name":"Digital Twins in Pharmaceutical Manufacturing: A Scoping Review","source":"openalex","abstract":"Digital twins offer a paradigm for real-time, predictive, and adaptive control in pharmaceutical manufacturing. Their relevance has increased with the expansion of continuous manufacturing, Process Analytical Technology, and model-informed quality assurance, but their adoption remains uneven and conceptually fragmented. This scoping review maps the extent, range, and nature of research on digital twins in pharmaceutical manufacturing from 2017 to 2026. The review focuses on process modeling, PAT","url":"https://doi.org/10.51847/xfqrz24c7n","authors":["Kevin O’Brien","Liam Murphy","Sean Doyle"],"tags":["Process (computing)","Relevance (law)","Quality (philosophy)","Computer science","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.51847/xfqrz24c7n","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4406824314","name":"Monitoring and Modeling the Soil‐Plant System Toward Understanding Soil Health","source":"openalex","abstract":"Abstract The soil health assessment has evolved from focusing primarily on agricultural productivity to an integrated evaluation of soil biota and biotic processes that impact soil properties. Consequently, soil health assessment has shifted from a predominantly physicochemical approach to incorporating ecological, biological and molecular microbiology indicators. This shift enables a comprehensive exploration of soil microbial community properties and their responses to environmental changes arising from climate change and anthropogenic disturbances. Despite the increasing availability of soil health indicators (physical, chemical, and biological) and data, a holistic mechanistic linkage has not yet been fully established between indicators and soil functions across multiple spatiotemporal scales. This article reviews the state‐of‐the‐art of soil health monitoring, focusing on understanding how soil‐microbiome‐plant processes contribute to feedback mechanisms and causes of changes in soil properties, as well as the impact these changes have on soil functions. Furthermore, we survey the opportunities afforded by the soil‐plant digital twin approach, an integrative framework that amalgamates process‐based models, Earth Observation data, data assimilation, and physics‐informed machine learning, to achieve a nuanced comprehension of soil health. This review delineates the prospective trajectory for monitoring soil health by embracing a digital twin approach to systematically observe and model the soil‐plant system. We further identify gaps and opportunities, and provide perspectives for future research for an enhanced understanding of the intricate interplay between soil properties, soil hydrological processes, soil‐plant hydraulics, soil microbiome, and landscape genomics.","url":"https://doi.org/10.1029/2024rg000836","authors":["Yijian Zeng","Anne Verhoef","Harry Vereecken","Eyal Ben‐Dor","A. Veldkamp","Liz J. Shaw","Martine van der Ploeg","Yunfei Wang","Zhongbo Su"],"tags":["Environmental science","Plant system","Soil health","Remote sensing","Soil science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-25","doi":"https://doi.org/10.1029/2024rg000836","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7203645321","name":"A consensus framework for digital twin development in lyophilization","source":"openalex","abstract":"Abstract Digital twins (DTs) are emerging as the central enabler for an Industry 4.0 approach to pharmaceutical freeze-drying, promising real-time insight, closed-loop control and virtual validation of processes that are traditionally conservative, lengthy and material-intensive. This paper consolidates expertise from academia, equipment suppliers and biopharma manufacturers to define a five-level DT maturity model for lyophilization and to map the technologies, methodologies and regulatory concepts needed to progress through those levels. We first analyze the physical, mathematical and computational challenges unique to freezing, primary and secondary drying, and show how first-principles, CFD, coupled and probabilistic models can be combined with advanced PAT (wireless temperature probes, TDLAS, dP-dT mass-flow calculation, RGA, NIR) to create a continuously updated design space that is both equipment- and scale-aware. The ISO 23247 reference architecture is then translated into a lyophilization context to standardize data models and information exchange. Commercial platforms (Siemens xDT, Ansys Twin Builder, IMA Sentinel) are reviewed to illustrate implementation pathways, while emerging technologies-spray freeze-drying, RF/microwave heating and AI-enabled visual inspection-highlight the need for adaptable, hybrid mechanistic-ML twins. Regulatory guidance from FDA, ICH and ASME V&V 40 is synthesized into a risk-based verification and validation strategy that aligns DT credibility with product-quality impact. Finally, a road-map of actionable steps-spanning sensor selection, model calibration, uncertainty quantification, operator training, and data governance-is outlined for organizations to adopt during development, tech transfer, and commercial manufacture. Collectively, these recommendations provide a coherent framework for deploying fit-for-purpose, GMP-compliant DTs that shorten cycle times, enhance robustness and accelerate delivery of high-quality lyophilized products.","url":"https://doi.org/10.1186/s41120-026-00150-w","authors":["Petr Kazarin","Efimia Metsi‐Guckel","Alina Alexeenko","Serguei Tchessalov","Ravindra Aglave","Wisam Al Bakri","Jean‐René Authelin","Denis Dowling","Arnab Ganguly","Emily Gong","Marc Horner","Lauren Fontana"],"tags":["Enabling","Robustness (evolution)","Credibility","Context (archaeology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-17","doi":"https://doi.org/10.1186/s41120-026-00150-w","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4416826450","name":"The Twin Transition in Practice. Digital Technologies, Sustainability, and the Role of Family Ownership in Europe","source":"openalex","abstract":"ABSTRACT This paper examines whether and to what extent digital technologies (DTs) foster the adoption of environmental sustainability (ES), and how this relationship is moderated by family ownership. Using data from approximately 14,000 European firms surveyed in the Flash Eurobarometer 486, we estimate a recursive simultaneous equation model via a conditional mixed‐process (CMP) to address potential endogeneity concerns. Results indicate that digitalization has a positive influence on ES adoption, although the marginal effect declines as firms implement more DTs. Family firms exhibit a stronger overall commitment to sustainability than their non‐family counterparts. However, because of their distinctive organizational traits, they tend to adopt ES practices less responsively as digitalization increases. Further analyses reveal heterogeneity across the sustainability practices. These findings underscore the relevance of ownership in shaping digitalization outcomes and contribute to the growing literature on the twin transition by informing more tailored policy strategies for an inclusive and effective green pathway.","url":"https://doi.org/10.1002/bse.70434","authors":["Francesco Aiello","Lidia Mannarino","Valeria Pupo"],"tags":["Eurobarometer","Sustainability","Endogeneity","Relevance (law)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.1002/bse.70434","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410404321","name":"The Digital Courtroom","source":"openalex","abstract":"The digitalisation of courtrooms brings both opportunities and challenges to the judicial process, shaping our understandings of trials and their participants in a myriad of, at times, unexpected ways, and transforming how we participate in, attend, engage with, and consume trials. While digital tools offer potential benefits, they can also impact core aspects of judicial integrity, such as the conduct of legal proceedings and participants’ experiences, as well as introducing additional layers of complexity – sometimes problematic – in how trials are portrayed in popular culture. By exploring these developments, the book highlights the importance of a thoughtful approach to digital integration – one that carefully considers its implications for procedural fairness, public trust, and the perceived legitimacy of the legal system. The author examines the social construction of courts in the digital age, arguing that digitalisation is not merely transforming the tools of justice but also redefining the very essence of the justice experience and reshaping our perceptions of trials and their participants. The work will be a valuable resource for scholars and students in the social sciences, law and all those interested in digitalisation and society.","url":"https://doi.org/10.4324/9781003344643","authors":["Lisa Flower"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-15","doi":"https://doi.org/10.4324/9781003344643","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4409240666","name":"Human-AI Intersection: Understanding the Ethical Challenges, Opportunities, and Governance Protocols for a Changing Data-Driven Digital World","source":"openalex","abstract":"Artificial intelligence (AI), in this data-driven digital world, is revolutionizing modern life with far-reaching implications for individuals, teams, organizations, and society. Using comments from 126 undergraduate students in South Florida, this theoretical paper highlights concepts and concerns regarding AI challenges related to cheating, plagiarizing, and biased information. The worries about the impact of AI are analogous to what the internet was three decades ago. People were using the internet as it was being developed, fine-tuned, and improved; it felt like walking over a long and tall bridge as it was being built, and the same is true for the growth of AI. Drawing parallels with the internet’s transformative impact over the past three decades, this paper emphasizes that AI is poised to drive similar positive changes, fostering increased productivity, transparency, accountability, and ethics, but at a much faster pace. In the meantime, due to the availability of data and digital content, the virtual world increased misinformation, disinformation, bias, and prejudiced speech, which AI can easily exacerbate. While AI adoption may cause process-related disruptions, its integration into everyone’s daily life is inevitable. As a natural extension of the information superhighway, AI will usher in a new wave of innovation, ultimately and perpetually transforming the fabric of our personal and professional lives. Drawing on literature and recent trends forecasted by experts, this theoretical manuscript provides an overview of AI uses, its history, challenges, and ethical implications for us all. The conceptual paper ends with recommendations for educators, managers, entrepreneurs, and human resources professionals to create awareness regarding the benefits of this new endemic technology, to ease people’s anxiety, and to reduce or mitigate hallucinations so AI tools can be used to enhance everyone’s effectiveness and efficiency.","url":"https://doi.org/10.61093/bel.9(1).109-126.2025","authors":["Bahaudin G. Mujtaba"],"tags":["Intersection (aeronautics)","Corporate governance","Data governance","Engineering ethics","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-31","doi":"https://doi.org/10.61093/bel.9(1).109-126.2025","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4407741370","name":"Integrating PLM and Digital Twin Technologies: A Comprehensive Analysis of Modern Product Development","source":"openalex","abstract":"This comprehensive article explores the integration of Product Lifecycle Management (PLM) systems with Digital Twin technology and its transformative impact on modern product development processes. The article examines how this integration enhances operational efficiency, enables real-time monitoring, and facilitates predictive maintenance across various industrial sectors. It explores the technical framework required for successful implementation, including data management systems, collaborative environments, and simulation capabilities. The article also addresses industry-specific applications in manufacturing, aerospace, and healthcare sectors, highlighting how different industries leverage these technologies for improved productivity and innovation. The article discusses critical technical challenges in data interoperability and system integration, along with their solutions, and explores future developments in AI/ML integration and emerging technologies, providing insights into the evolving landscape of digital transformation in product development.","url":"https://doi.org/10.32628/cseit251112264","authors":["Jyot Saini"],"tags":["Product (mathematics)","New product development","Computer science","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-10","doi":"https://doi.org/10.32628/cseit251112264","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4399317507","name":"Surrogate modeling and control of medical digital twins.","source":"openalex","abstract":"The vision of personalized medicine is to identify interventions that maintain or restore a person's health based on their individual biology. Medical digital twins, computational models that integrate a wide range of health-related data about a person and can be dynamically updated, are a key technology that can help guide medical decisions. Such medical digital twin models can be high-dimensional, multi-scale, and stochastic. To be practical for healthcare applications, they often need to be simplified into low-dimensional surrogate models that can be used for optimal design of interventions. This paper introduces surrogate modeling algorithms for the purpose of optimal control applications. As a use case, we focus on agent-based models (ABMs), a common model type in biomedicine for which there are no readily available optimal control algorithms. By deriving surrogate models that are based on systems of ordinary differential equations, we show how optimal control methods can be employed to compute effective interventions, which can then be lifted back to a given ABM. The relevance of the methods introduced here extends beyond medical digital twins to other complex dynamical systems.","url":"https://openalex.org/W4399317507","authors":["Luís L. Fonseca","Lucas Böttcher","Borna Mehrad","Reinhard Laubenbacher"],"tags":["Control (management)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-20","doi":"","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4403138040","name":"APPLICATION OF MACHINE LEARNING DURING MAINTENANCE AND EXPLOITATION OF ELECTRIC VEHICLES","source":"openalex","abstract":"In the era of increasing demand for sources of renewable and cleaner energy, electric vehicles offer possible solutions in order to maintain and improve the mobility of transport systems. In parallel, the application of machine learning for digital twin technology greatly contributes to the development and optimization of vehicles and systems, saving time and resources, as well as material resources. In terms of electric vehicle components, electric batteries represent the most expensive elements where machine learning can help to optimize characteristics during exploitation and to predict maintenance time and their lifetime. This article related to the possibilities of future research, which, by intensifying the digitalization and machine learning for digital twin technology, will affect the improvement of the application and disposal of components, but the complete system of electric vehicles, during the entire life cycle, including the recycling.","url":"https://doi.org/10.46793/adeletters.2024.3.3.5","authors":["Dragan Marinković","Gergely Dezső","Saša Milojević"],"tags":["Computer science","Automotive engineering","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.46793/adeletters.2024.3.3.5","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407394123","name":"Research on digital empowerment, innovation vitality and manufacturing supply chain resilience mechanism","source":"openalex","abstract":"As global manufacturing competition increasingly emphasizes supply chain resilience, enhancing the risk resistance of manufacturing supply chains through digital empowerment has become a critical priority. This study leverages the opportunities of the digital economy to deeply investigate the mechanisms that enhance supply chain resilience. Using data from China' s A-share listed manufacturing companies from 2012 to 2020, a research framework is constructed based on information asymmetry and transaction cost theories. Employing text analysis and factor analysis, the study develops indicators for digital empowerment and supply chain resilience and examines their relationship through both theoretical analysis and empirical testing. The findings reveal that: (a) Digital empowerment significantly enhances supply chain resilience in the manufacturing sector, and this conclusion is robust across various robustness checks. (b) Mechanism analysis demonstrates that digital empowerment drives supply chain resilience primarily by enhancing innovation vitality within enterprises. (c) The moderating analysis shows that environmental uncertainty positively influences the resilience of digitally empowered manufacturing supply chains. (d) Further analysis indicates that the effects of digital empowerment on supply chain resilience vary depending on factor intensity, supply chain position, and industry competition levels. These results validate the positive role of digital empowerment in promoting supply chain resilience and explore the 'black box' mechanism from the perspective of innovation vitality. The study also highlights the moderating influence of environmental uncertainty. By advancing the understanding of how the digital economy fosters high-quality development in manufacturing, this research provides actionable insights for strengthening supply chain resilience, achieving greater control over supply chain dynamics, and promoting deeper integration between digital technologies and the real economy.","url":"https://doi.org/10.1371/journal.pone.0316183","authors":["Huiyan Wang","You Chen","Jiaping Xie","Caixuan Liu"],"tags":["Supply chain","Business","Empowerment","Supply chain risk management","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-12","doi":"https://doi.org/10.1371/journal.pone.0316183","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4391477078","name":"DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom","source":"openalex","abstract":"This paper will discuss Data, Information, Knowledge, and Wisdom, which is commonly referred to as DIKW. The DIKW Pyramid Model that is often referenced in both academics and practitioner circles will be discussed and shown to be faulty on several levels, including. a lack of definitional agreement. A new DIKW framework will be proposed that focuses on what the DIKW elements do in the way humans think, not what they are by definition. Information as a replacement for wasted physical resources in goal-oriented tasks will be a central organizing point. The paper will move the DIKW discussion to the computer-based concept of Digital Twins (DTs) and its augmentation of how we can use DIKW to be more effective and efficient. This will especially be the case as we move to Intelligent Digital Twins (IDT) with Artificial Intelligence (AI).","url":"https://doi.org/10.20944/preprints202402.0129.v1","authors":["Michael Grieves"],"tags":["Computer science","Action (physics)","Point (geometry)","Pyramid (geometry)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-02","doi":"https://doi.org/10.20944/preprints202402.0129.v1","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413244148","name":"Telemedicine, eHealth, and Digital Transformation in Poland (2014–2024): Trends, Specializations, and Systemic Implications","source":"openalex","abstract":"Background: Between 2014 and 2024, Poland underwent a significant digital transformation in its healthcare sector, evolving from isolated initiatives to a cohesive national eHealth ecosystem. This review examines the development, clinical significance, and research trends in telemedicine in Poland, providing comparative insights from 1995 to 2015 and assessing the impact of the COVID-19 pandemic. Methods: A narrative review was conducted using the PubMed, Scopus, EMBASE, and Web of Science databases to identify peer-reviewed articles published between January 2014 and December 2024. A total of 1012 records were identified, and 212 articles were included after applying predefined inclusion criteria. These articles were categorized by medical specialty, study type, COVID-19 relevance, and clinical versus nonclinical focus. Gray literature and policy reports were examined only to provide a context for the findings. Results: Ninety-six publications were included in the clinical studies. The most common specialties are cardiology, psychiatry, geriatrics, general practice, and rehabilitation. In earlier years, survey-based and observational designs were predominant, whereas later years saw an increase in interventional trials and studies enabled by Artificial Intelligence (AI). The COVID-19 pandemic has had a significant impact on research activity, accelerating the adoption of digital technologies in previously underrepresented fields, such as pulmonology and palliative care, as well as in the routine use of modern Internet communication technologies for daily patient–doctor interactions. Discussion: Advancements in digital health (including eHealth and telemedicine) in Poland have been driven by policy reforms, technological advancements, and epidemiological events, such as COVID-19. Various fields have evolved from feasibility studies to clinical trials, and emerging specialties have focused on user experience and implementation. However, the adoption of AI and its interoperability remains underdeveloped, primarily because of regulatory and reimbursement challenges. Conclusions: Poland has made significant strides in institutionalizing digital health; however, ongoing innovation necessitates regulatory alignment, strategic funding, and enhanced collaboration between academia and industry. As the country aligns with the European Union (EU) initiatives, such as the European Health Data Space, it has the potential to lead to regional integration in digital health.","url":"https://doi.org/10.3390/app15168793","authors":["Wojciech Glinkowski","Tomasz Cedro","Agnieszka Wołk","Rafał Doniec","Krzysztof Wołk","Szymon Wilk"],"tags":["Telemedicine","eHealth","Medicine","Health care","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-08","doi":"https://doi.org/10.3390/app15168793","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407012905","name":"Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control","source":"openalex","abstract":"With the rapid development of deep reinforcement learning technology, it gradually demonstrates excellent potential and is becoming the most promising solution in the robotics. However, in the smart manufacturing domain, there is still not too much research involved in dynamic adaptive control mechanisms optimizing complex processes. This research advances the integration of Soft Actor-Critic (SAC) with digital twins for industrial robotics applications, providing a framework for enhanced adaptive real-time control for smart additive manufacturing processing. The system architecture combines Unity's simulation environment with ROS2 for seamless digital twin synchronization, while leveraging transfer learning to efficiently adapt trained models across tasks. We demonstrate our methodology using a Viper X300s robot arm with the proposed hierarchical reward structure to address the common reinforcement learning challenges in two distinct control scenarios. The results show rapid policy convergence and robust task execution in both simulated and physical environments demonstrating the effectiveness of our approach.","url":"https://doi.org/10.48550/arxiv.2501.18016","authors":["Ali, Matsive","Giri, Sandesh","Sen Liu","Qin Yang"],"tags":["Reinforcement learning","Soft robotics","Computer science","Control (management)","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-29","doi":"https://doi.org/10.48550/arxiv.2501.18016","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4412846939","name":"Digital Twin Architecture for Scope 3 Emission Transparency in Sustainable Supply Networks","source":"openalex","abstract":"The escalating urgency of climate change mitigation has intensified corporate focus on comprehensive supply chain emission monitoring, particularly Scope 3 emissions which represent 70-90% of organizational carbon footprints. Traditional emission tracking methods prove inadequate for managing complex, multi-tiered supply networks, creating an urgent need for innovative technological solutions. This research investigates how digital twin architecture transforms Scope 3 emission transparency through dynamic virtual representations of physical supply networks. The study employs a comprehensive literature review and case analysis methodology, examining implementations across automotive, consumer goods, and technology sectors. Our four-stage framework encompasses data acquisition and integration, virtual modeling and simulation, real-time monitoring and analytics, and predictive optimization capabilities. Findings demonstrate that digital twin technology enables unprecedented supply chain visibility, facilitating proactive environmental management rather than reactive reporting. Organizations implementing digital twins report enhanced decision-making through granular emission data, improved regulatory compliance, optimized transportation routes, and dynamic supplier selection based on environmental performance. Strategic benefits encompass strengthening relationships with stakeholders, competitive market advantages, and support for setting science-based targets. However, implementation challenges relate to the complexity surrounding data integration across the almost impossibly varied supplier networks, huge infrastructure investments at the start, resistance from within regarding the transformation by technology, and privacy concerns on that information that is considered sensitive in the supply chain bureaucracy. The overall picture of adoption includes partnering collaborations, phased implementation approaches, standardized data protocols, and sharply vertical governance frameworks. This research offers new insights on technology-enabled solutions for sustainability while offering actionable advice for practitioners. Future lines of inquiry should consider an industry-oriented framework, standardization protocols, and longitudinal environmental impact assessments to empower digital twin applications for sustainable supply chain transformation.","url":"https://doi.org/10.64229/cvvbkt77","authors":["Viraj P. Tathavadekar","Nitin R. Mahankale"],"tags":["Scope (computer science)","Transparency (behavior)","Architecture","Business","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.64229/cvvbkt77","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4405089767","name":"Digital Media, Cognition, and Brain Development in Adolescence","source":"openalex","abstract":"Abstract Drawing from the literature on adolescent cognitive development, we describe how digital media usage has been linked to cognitive control processes, including the regulation of affective responses. In addition, we highlight how digital media use is perceived as particularly gratifying for adolescents’ needs. The use of digital media for prolonged periods or in a problematic way has been associated with structural and functional changes in the brain regions related to top-down control and reward systems. Studies are still at an early stage, mostly cross-sectional and based on self-reports. Measures used to assess digital media use mainly cover time and frequency of use, or problematic digital media use, with little or no focus on specific activities and content. Reported effects tend to be negligible-to-small; however, studies have rarely examined the impact of mental health conditions, which can in themselves be the underlying driver of cognitive changes and digital media use. We suggest future research should focus on establishing causality and directionality while highlighting positive uses in relation to cognitive development. More data examining different types of uses and contexts, including vulnerable and underrepresented populations and areas, are necessary before generalizing results.","url":"https://doi.org/10.1007/978-3-031-69362-5_4","authors":["Laura Marciano","Bernadka Dubicka","Lucía Magis‐Weinberg","Rosalba Morese","Kasisomayajula Viswanath","René Weber"],"tags":["Cognition","Psychology","Brain development","Digital media","Developmental psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-05","doi":"https://doi.org/10.1007/978-3-031-69362-5_4","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4412159090","name":"Digital technologies to accelerate the impact of climate smart agriculture by next-generation farmers in Africa","source":"openalex","abstract":"The adoption of digital technologies for scaling Climate-Smart Agriculture (CSA) practices can enhance agricultural productivity, food security, and livelihood sustainability of smallholder farmer communities in Africa. While digital agronomy supports for smallholder farmers present significant opportunities for strengthening agricultural extension systems, there are also significant barriers faced by smallholders in accessing and using digital agronomy services. Despite the rapid growth in phone and internet access in Africa, many smallholder farming communities and households lack effective access to the phone and internet services necessary for effective digital agronomy delivery. The digital divide that constrains smallholder farmers acts as a brake on the ambitions and targets for CSA scaling and for agricultural sector development across Africa, including in the Comprehensive Africa Agriculture Development Programme (CAADP) held in Strategy and Action Plan, and the Kampala CAADP Declaration on Building Resilient and Sustainable Agrifood Systems in Africa. Currently, there are a broad range of digital technologies (e.g., radio, mobile phone apps, video, mobile phone apps, animations, and social media platforms) that can be harnessed for scaling CSA amongst smallholder farmers, with a rapidly growing number of digital agronomy developers and providers. However, the affordability of phone and internet services for poorer smallholders, in addition to lack of technology infrastructure and digital literacy skills, remains a barrier to “last mile” delivery of effective digital agronomy services. As digital access becomes more affordable and digital agronomy systems become more powerful, pervasive (e.g., via social media and peer-to-peer training approaches) and localized (e.g., using artificial intelligence and machine translation), there is significant potential for digital agronomy systems to augment and strengthen national agricultural extension systems supporting smallholder farmers. In particular, digital agronomy services can help accelerate scaling of Climate-Smart Agriculture (CSA) practices for the millions of smallholder farmers who are most vulnerable to the unfolding climate crisis affecting their farming systems and livelihoods.","url":"https://doi.org/10.3389/fsufs.2025.1462328","authors":["Margareth Mollel","Luis Felipe Quiroz","Ciara Varley","Alex Firestine","Mary-Ellen McLoughlin","Jefkine Kafunah","Shrutik Kharkar","Jemima O'Farrell","Noel Ndlovu","Angharad Johnston","Peter C. McKeown","Galina Brychkova","Úna Murray","Simón Moreno-Leiva","Charles Spillane"],"tags":["Agriculture","Business","Agricultural economics","Natural resource economics","Agroforestry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.3389/fsufs.2025.1462328","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4411673050","name":"Digital twins suggest a mechanistic basis for differing responses to increased flow rates during high-flow nasal cannula therapy","source":"openalex","abstract":"Abstract Background Inconsistent responses to increased flow rates have been observed in patients with acute hypoxemic respiratory failure (AHRF) treated with high-flow nasal cannula (HFNC) therapy, with a significant minority in two recent studies exhibiting increased respiratory effort at higher flow rates. Digital twins of patients receiving HFNC could help understand the physiological basis for differing responses. Methods Patient data were collated from previous studies in AHRF patients who were continuously monitored with electrical impedance tomography and oesophageal manometry and received HFNC at flow rates of 30, 40 or 45 L/min. Patients, based on their responses to an increase in flow rate to 60 L/min, were categorised into two groups: five responders with reduced oesophageal pressure swings ΔP es (− 3.1 cmH 2 O on average), and five non-responders with increased ΔP es (+ 2.0 cmH 2 O on average). Two cohorts of digital twins were created based on these data using a multi-compartmental mechanistic cardiopulmonary simulator. Digital twins’ responses to increased HFNC flow rates (60 L/min) were simulated with constant respiratory effort to assess changes in gas exchange and lung mechanics, and with varying respiratory effort to quantify their combined effects on lung mechanics and P-SILI indicators. Results The digital twins accurately replicated patient-specific responses at all flow rates. Responder digital twins showed a mean 20 mL/cmH 2 O increase in lung compliance at higher flow rates, versus a 6 mL/cmH 2 O decrease in compliance with non-responders. In digital twins of responders versus non-responders, increased flow rates produced a mean change in lung stress of − 1.5 versus + 1.2 cmH 2 O, in dynamic lung strain of − 8.8 versus + 16.4%, in driving pressure of − 1.3 versus + 1.1 cmH 2 O, and in mechanical power of − 0.8 versus + 1.2 J/min. Higher flow rate dependent positive end-expiratory pressure in digital twins of non-responders did not cause recruitment, and reduced tidal volumes due to higher functional residual capacities—to compensate for the resulting worsened gas-exchange, non-responders increased their respiratory effort, in turn increasing patient self-inflicted lung injury ( P -SILI) indicators. In digital twins of responders, reductions in tidal volumes due to higher FRCs resulting from increased PEEP were outweighed by alveolar recruitment. This increased compliance and improved gas exchange, permitting reduced respiratory effort and decreases in P -SILI indicators. Conclusions Failure to reduce spontaneous respiratory efforts in response to increased HFNC flow rates could be due to a deterioration in lung mechanics, with an attendant risk of P -SILI.","url":"https://doi.org/10.1186/s40635-025-00773-5","authors":["Hossein Shamohammadi","Sina Saffaran","Roberto Tonelli","Valentina Chiavieri","Giacomo Grasselli","Enrico Clini","Tommaso Mauri","Declan G. Bates"],"tags":["Medicine","Nasal cannula","Cannula","Anesthesia","Pulmonary compliance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-26","doi":"https://doi.org/10.1186/s40635-025-00773-5","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4410707196","name":"Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network","source":"openalex","abstract":"Recent advances in deep learning-based image reconstruction techniques have led to significant progress in phase retrieval using digital in-line holographic microscopy (DIHM). However, existing phase retrieval methods have technical limitations in 3D morphology reconstruction from single-shot holograms of biological cells. In this study, we propose a deep learning model, named MorpHoloNet, for single-shot reconstruction of 3D morphology by integrating physics-driven and coordinate-based neural networks. By simulating optical diffraction of coherent light through a 3D phase shift distribution, MorpHoloNet is optimized by minimizing the loss between simulated and input holograms on the detector plane. MorpHoloNet enables direct reconstruction of 3D complex light field and 3D morphology of a test sample from its single-shot hologram without requiring multiple phase-shifted holograms or angular scanning. It would be utilized to reconstruct spatiotemporal variations in 3D translational and rotational behaviors, as well as morphological deformations of biological cells from consecutive single-shot holograms captured using DIHM. Here, the authors demonstrate MorpHoloNet: a physics-driven, coordinate-based deep learning model enabling single-shot reconstruction of 3D morphology and refractive index distribution of biological cells in digital holographic microscopy without angular scanning.","url":"https://doi.org/10.1038/s41467-025-60200-x","authors":["Jihwan Kim","Youngdo Kim","Hyo Seung Lee","Eunseok Seo","Sang Joon Lee"],"tags":["Holography","Digital holographic microscopy","Digital holography","Optics","Microscopy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-24","doi":"https://doi.org/10.1038/s41467-025-60200-x","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:33.504Z"},{"id":"oa:W4411887319","name":"Research Status and Progress of Digital Twin Models for Electric Power System Equipment","source":"openalex","abstract":"With the development of smart grids, traditional methods for managing and maintaining grid equipment are becoming inadequate to meet the increasingly complex needs of power systems. Digital twin technology, as an advanced digital means, achieves real-time monitoring, prediction, and optimization of the entire lifecycle of grid equipment by creating virtual replicas of physical entities. This paper focuses on research into digital twin models for grid equipment, exploring their applications and challenges in improving operational and maintenance efficiency and ensuring the safe and reliable operation of the electric power system. The paper first introduces the technical characteristics of digital twins, then presents three digital twin models for grid equipment: a substation power equipment inspection system model, an ultra-high voltage direct current (UHVDC) system model, and a reality-based modeling model. Finally, it looks ahead to the future trends in the development of digital twin models for the electric power system and draws conclusions.","url":"https://doi.org/10.1145/3729706.3729778","authors":["Ning Xu","Lina Hu","Xiaomeng Di","Yi Tang","Liang Dong","Ximin Sun"],"tags":["Computer science","Electric power system","Power (physics)","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-07","doi":"https://doi.org/10.1145/3729706.3729778","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4417182014","name":"Blockchain-based access management framework for interoperable digital twins in industrial IoT","source":"openalex","abstract":"Introduction Digital Twins (DT) have appeared as a significant tool in Industrial Internet of Things (IIoT) environments, allowing real-time monitoring, predictive maintenance, and maximizing device performance. However, integrating DTs with IIoT initiates serious security issues, specifically in the device’s authentication and authorization. The state-of-the-art mechanisms are exposed to insider threats, single points of failure, and privacy issues. Methods This study proposes a blockchain-based access control framework for cross-domain DTs. The blockchain (BC) integration eliminates reliance on the centralized authentication server. It uses platform verification from the manufacturer to validate IIoT device integrity and mitigate insider threats. Moreover, the authorization mechanism is implemented using smart contract and access control policies stored in BC. The proposed Non-Fungible Tokens enable role and permission delegation. Results and Discussion The integration of Hyperledger Fabric BC, platform hash verification, and NFT-based authorization in the proposed architecture enhanced its resilience against cyber-attacks i.e., replay, DoS/DDoS, insider, and spoofing attacks. Moreover, the proposed framework validates its viability with response times (approximately 300ms) for the authentication and authorization phases. Additionally, identity resolution attains 67 % depletion in latency compared to its counterpart.","url":"https://doi.org/10.3389/fbloc.2025.1693926","authors":["Gauhar Ali","Sajid Shah","Mohammed ElAffendi","Naveed Ahmad"],"tags":["Access control","Computer security","Computer science","Authentication (law)","Interoperability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-10","doi":"https://doi.org/10.3389/fbloc.2025.1693926","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413201753","name":"A Review of the Application of Ontologies and Semantic Web for Building Information Modelling and Digital Twins Based Construction Management","source":"openalex","abstract":"As the construction industry is moving towards digitalisation, the integration of advanced technologies like Building Information Modelling (BIM) and digital twins has become essential for enhancing project efficiency. Currently, the industry has the capacity to operate at BIM Maturity stage 2 but faces challenges in achieving seamless data integration and interoperability. Progressing toward BIM Maturity Stage 3 could benefit from adopting semantic web and linked data technologies, which enable a more structured, machine-readable data environment. However, the path to this level of integration remains complex. At the heart of the semantic web lies ontologies, playing a pivotal role in structuring domain knowledge. Therefore, through a systematic literature review, this study explores the integration of ontologies and semantic web technologies in BIM or Digital Twin environments for construction management. This study provides a trend and theoretical analysis under different construction management use cases to identify how ontologies and semantic web technologies have been utilised during the construction execution phase. The study identified eight different use cases, including safety management, compliance checking, and construction planning and production control, among others. The findings emphasise that while there is great potential in using ontologies and the semantic web for data integration, significant barriers remain, such as data privacy concerns, scalability issues, and the complexity of ontology mapping. These findings underscore the importance of addressing these challenges to fully harness the capabilities of semantic web technologies within BIM environments, providing a potential roadmap toward realising BIM Maturity Stage 3 and to enhance collaboration and data exchange in the construction industry. This study provides a roadmap for future research and technological development in applying semantic web technologies to advance construction management.","url":"https://doi.org/10.36680/j.itcon.2025.049","authors":["Asha Dulanjalie Palihakkara","Carlos A. Osorio-Sandoval","Walid Tizani"],"tags":["Building information modeling","Semantic Web","Computer science","Ontology","Semantic integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-12","doi":"https://doi.org/10.36680/j.itcon.2025.049","addedAt":"2026-09-01T01:47:33.504Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412692814","name":"Building a Sustainable Future: The Role of Digital Twins in Transforming Europe’s Energy Systems","source":"openalex","abstract":"In an era marked by an urgent need for sustainable energy solutions, digital twins have emerged as a pivotal innovation to address the challenges of modern power systems. Digital twins provide a real-time virtual model of physical energy systems, enabling enhanced monitoring, simulation, and optimization. This paper examines the TwinEU initiative, a cornerstone of the Horizon Europe program, which seeks to implement a pan-European digital twin ecosystem to revolutionize the management and operation of power grids. The study covers the development of digital twin technology, its architecture, and its application across transmission and distribution networks and energy markets. Results demonstrate how digital twins facilitate the integration of renewable energy, enhance grid flexibility, and ensure the reliability of Europe’s energy systems. Furthermore, it explores the role of federated digital twin ecosystems in fostering cross-sectoral collaboration and innovation, paving the way for a unified and sustainable energy infrastructure. Key words. Digital twin, TwinEU, Energy market, Power system operation, Power system planning","url":"https://doi.org/10.24084/reepqj25-279","authors":["K. Turcsanyi","I. Vokony"],"tags":["Sustainable energy","Energy (signal processing)","Political science","Engineering","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.24084/reepqj25-279","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4391060609","name":"A comprehensive survey of contemporary supply chain management practices in charting the digital age revolution","source":"openalex","abstract":"A new era of supply chain management has been brought about by the digital age, which is completely changing the way companies organize, carry out, and maximize their operations. This survey report provides an in-depth analysis of supply chain management's present situation in this digital environment. Utilizing a comprehensive analysis of extant literature, papers, and studies, it pinpoints and investigates the pivotal patterns, obstacles, and prospects that enterprises encounter when adopting digital technology inside their supply chains. This article explores the range of digital technologies, including blockchain, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT), that have transformed supply chain management. We provide a classified overview of the area by examining the data from many sources and emphasizing recurring elements that characterize the contemporary supply chain environment. We also take into account the effects of digitalization on corporate operations, such as the difficulties associated with data protection, the necessity of change management, and the possibility of increased productivity. Case studies of industry leaders who have successfully transitioned to the digital era shed light on best practices and offer useful insights. Looking forward, we offer a glimpse into the future of supply chain management, predicting and discussing emerging trends and technologies, such as 5G connectivity and sustainability initiatives. This paper concludes with a call to action, emphasizing the importance of staying ahead in the digital age for organizations seeking to remain competitive, agile, and resilient in an ever-evolving business landscape. It also suggests areas for future research and development, guiding further exploration in the field.","url":"https://doi.org/10.5267/j.uscm.2023.11.004","authors":["Ahmad Yacoub Nasereddin"],"tags":["Supply chain","Big data","Agile software development","Digital Revolution","Supply chain management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.5267/j.uscm.2023.11.004","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4410464439","name":"AI-POWERED SENTIMENT ANALYSIS IN DIGITAL MARKETING: A REVIEW OF CUSTOMER FEEDBACK LOOPS IN IT SERVICES","source":"openalex","abstract":"This systematic review critically examines the evolving role of AI-powered sentiment analysis in optimizing digital marketing strategies, with a specific focus on its application within customer feedback loops in IT service environments. In the era of data-driven marketing, the ability to decode consumer emotions from unstructured textual sources—such as social media, product reviews, helpdesk transcripts, and chat logs—has become increasingly valuable for enhancing personalization, engagement, and service responsiveness. Adhering to the PRISMA 2020 methodology, this review rigorously analyzed 87 peer-reviewed articles published between 2010 and 2024, encompassing diverse disciplines including artificial intelligence, natural language processing, marketing analytics, and service operations. The findings reveal that while traditional stochastic models like Support Vector Machines remain widely used due to their computational efficiency and interpretability, deep learning architectures—particularly CNNs, LSTMs, and GRUs—have demonstrated superior performance in managing complex, context-rich sentiment patterns. Moreover, transformer-based models such as BERT and RoBERTa have emerged as state-of-the-art tools, excelling in multilingual sentiment interpretation and capturing nuanced emotional dynamics in long-form or domain-specific feedback. The integration of these models into customer feedback loops has enabled real-time marketing decision-making, automated customer relationship management, and sentiment-driven content optimization. However, the review also identifies key gaps, notably the underutilization of internal enterprise data sources and the lack of comprehensive adoption of explainable AI practices. Increasing scrutiny under data protection regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) has further underscored the need for transparency, user consent, and ethical handling of inferred emotional data. Overall, this review contributes to the growing body of literature by offering a comprehensive evaluation of current technologies, identifying operational challenges, and highlighting the need for ethically aligned and context-aware sentiment analytics frameworks in digital marketing ecosystems, particularly within the IT services sector.","url":"https://doi.org/10.63125/61pqqq54","authors":["Rajesh Paul","M. F. Imam","Anika Jahan Mou"],"tags":["Marketing","Digital marketing","Business","Advertising","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-02","doi":"https://doi.org/10.63125/61pqqq54","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W3120751189","name":"The Digital Twin is an Artifact of Modern Production Systems","source":"openalex","abstract":"The development of modern production systems is taking place in the context of the transition to the concept of Industry 4.0. In these conditions, the competitiveness of production systems is determined by the volume and depth of implementation of digital technologies. These technologies include the digital twin. Recently, a lot of research has been devoted to digital twins. The use of digital twins by modern production systems offers many advantages, both technical and economic. This article provides a systematization of the concept of \"digital twin\", and also describes the organizational aspects of the development and use of digital twins in production systems designed in the form of a model.","url":"https://doi.org/10.1051/shsconf/20219301017","authors":["Igor Egorov","Natalia N. Polzunova","И.С. Ползунов"],"tags":["Production (economics)","Artifact (error)","Computer science","Context (archaeology)","Production system (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1051/shsconf/20219301017","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4392916872","name":"Digital Transformation of the Economy: Pecularities of Industrialized Regions","source":"openalex","abstract":"The concept of Industry 4.0 based on a set of information technologies forms a new economic paradigm and changes production models. These processes allow the most developed territories to create advantages by integrating digital technologies into their own economy. The purpose of the study is to identify the dynamics and features of the digital transformation processes of the economic sphere in the industrially developed regions of the Russian Federation. In the course of the study, the methods of structural, dynamic analysis of the indicators of official statistics of Russian Federal State Statistics Service in the sphere of digital technologies were used. The study showed the leadership of the macro-regions of the European part of Russia in terms of the digitalization of business, a larger use of digital technologies in industrial regions. The advance of the use of basic information technologies is up to 7 %, in the use of global networks – about 4%, automated data exchange – more than 5 %. In industrial regions, special software is used somewhat more often, especially for product lifecycle management, but less often in the field of scientific research. Such advanced digital technologies as geoinformation systems, digital platforms, artificial intelligence, industrial robots are used more often in industrial regions, and the Internet of Things and digital twins are used less often than in the whole of the Russian Federation. There is still a lag in terms of digitalization costs and the share of digital technology specialists in the economy of industrial regions, explained by the specifics of their production structure. The results obtained demonstrate the specifics of industrial regions and can be used in the process of forming the policy of the Russian Federation in the field of digitalization.","url":"https://doi.org/10.37930/1990-9780-2024-1-79-5-24","authors":["Yu. G. Lavrikova","Sergey Bodrunov","Free Economic Society of Russia","В. В. Акбердина","G. B. Korovin"],"tags":["Digital transformation","Digital economy","Industrial production","Information technology","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.37930/1990-9780-2024-1-79-5-24","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4410068942","name":"How Digital Orientation Affects Innovation Performance? Exploring the Role of Digital Capabilities and Environmental Dynamism","source":"openalex","abstract":"Digital orientation has attracted significant attention from policymakers and researchers due to its potential to drive innovation success. While prior research has largely examined the impact of digital orientation on specific types of innovation from a static lens, a holistic and dynamic perspective on its relationship with firms’ overall innovation performance remains limited. Drawing on dynamic capabilities theory, this study aims to bridge this gap by developing a moderated mediation model that incorporates the mediating role of digital capabilities and the moderating effect of environmental dynamism in the relationship between digital orientation and firms’ overall innovation performance. Using survey data from 368 Chinese firms, this study employs hierarchical regression analysis and the bootstrap method to test the hypotheses. The results indicate that digital orientation promotes digital capabilities (encompassing digital sensing, digital integrative, and digital transforming capabilities), which in turn facilitates firms’ overall innovation performance. Also, the effect of digital capabilities on innovation performance is moderated by environmental dynamism. This study contributes to the existing literature by offering a holistic and dynamic lens to elucidate the link between digital orientation and innovation performance, while also providing managerial insights for firms seeking to adopt digital orientation to boost innovation success in the evolving digital environments.","url":"https://doi.org/10.3390/systems13050346","authors":["Xian Zhang","Zongjun Wang","Wenyi Luo","Feifei Guo","Peng Wang"],"tags":["Dynamism","Orientation (vector space)","Business","Mathematics","Quantum mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-03","doi":"https://doi.org/10.3390/systems13050346","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4399585002","name":"Efficient Digital Twin Placement for Blockchain-Empowered Wireless Computing Power Network","source":"openalex","abstract":"As an open network architecture, Wireless Computing Power Networks (WCPN) pose new challenges for achieving efficient and secure resource management in networks, because of issues such as insecure communication channels and u... | Find, read and cite all the research you need on Tech Science Press","url":"https://doi.org/10.32604/cmc.2024.052655","authors":["Wei Wu","Liang Yu","Liping Yang","Yadong Zhang","Peng Wang"],"tags":["Blockchain","Computer science","Wireless network","Wireless","Power (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.32604/cmc.2024.052655","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4404863396","name":"The implementation of lean and digital management techniques using artificial intelligence in industrial settings","source":"openalex","abstract":"This article proposes an interdisciplinary approach to analyzing the problems associated with the introduction of digital technologies into industry, with special attention to artificial intelligence. The author offers a methodological framework based on the principles of lean manufacturing and artificial intelligence to eliminate the identified gaps. To improve the efficiency of production systems, a model is proposed that combines the principles of lean manufacturing with digital tools such as artificial intelligence. The introduction of a new concept and method of production process management requires a revision of the project management strategy and organizational practices. As one of the main results, a project is proposed aimed at introducing lean and digital production methods using modern digital technologies. The introduction of digital technologies has led to the appearance of preliminary results that allow the heads of production departments to make informed decisions based on up-to-date data. Enterprises using the potential of artificial intelligence demonstrate higher efficiency, complete orders ahead of schedule and benefit customers through innovative software and algorithms. This approach allows organizations to effectively manage their activities, providing value to customers and increasing their satisfaction. Issues related to Industry 4.0, digitalization and artificial intelligence play a key role in the context of business transformation, therefore, the study of these aspects can be valuable both for the academic community and for the practical activities of companies.","url":"https://doi.org/10.1007/s44163-024-00186-5","authors":["Aleksey Grigorievich Tashkinov"],"tags":["Lean manufacturing","Computer science","Manufacturing engineering","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-29","doi":"https://doi.org/10.1007/s44163-024-00186-5","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4396915563","name":"Challenges and opportunities in European smart buildings energy management: A critical review","source":"openalex","abstract":"The substantial stock of European buildings, accounting for more than 40% of energy consumption, has prompted member states to establish a renovation standard with stringent performance criteria. As advancing into the era of digital transformation, the concept of smart buildings emerges as a solution to create sustainable, efficient, resilient, active, and comfortable living and working spaces. This is achieved through intelligent resource use optimization, including the smart management of energy production, storage and distribution systems. Smart buildings operate by harnessing monitoring data and leveraging artificial intelligence algorithms and big data techniques. The integration of monitoring data with contextual information, such as building information modelling, physics, or simulation models, enhances the intelligent management of resources. Moreover, the incorporation of metrics like the smart readiness indicator promotes the adoption of smart buildings. This study delves into the significance of these techniques, expanding on existing research in the field of smart buildings. It integrates concepts of data enrichment, smartness, and user-centric approaches. Key findings provide insights into future opportunities within the sector, emphasizing the need for user awareness strategies, the development of new smart algorithms, and services that incorporate contextual data and the smart readiness indicator. The study also advocates for the widespread adoption of building digital twins.","url":"https://doi.org/10.1016/j.rser.2024.114472","authors":["José L. Hernández","Ignacio de Miguel","Fredy Vélez","Ali Vasallo"],"tags":["Architectural engineering","Engineering","Energy management","Business","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-15","doi":"https://doi.org/10.1016/j.rser.2024.114472","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4388639388","name":"Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses","source":"openalex","abstract":"The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an essential component that bridges the physical world and digital signals, flexible sensors are evolving from a single sensing element to a smarter system, which is capable of highly efficient acquisition, analysis, and even perception of vast, multifaceted data. While challenging from a manual perspective, the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm (machine learning) and the framework (artificial synapses) level. This review presents the recent progress of the emerging AI-driven, intelligent flexible sensing systems. The basic concept of machine learning and artificial synapses are introduced. The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed, which significantly advances the applications such as flexible sensory systems, soft/humanoid robotics, and human activity monitoring. As two of the most profound innovations in the twenty-first century, the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.","url":"https://doi.org/10.1007/s40820-023-01235-x","authors":["Tianming Sun","Bin Feng","Jinpeng Huo","Yu Xiao","Wengan Wang","Wengan Wang","Jin Peng","Zehua Li","Chengjie Du","Wenxian Wang","Wenxian Wang","Guisheng Zou","Lei Liu"],"tags":["Artificial intelligence","Computer science","Deep learning","Robotics","Applications of artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-13","doi":"https://doi.org/10.1007/s40820-023-01235-x","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4400046201","name":"A Digital Twinning Framework for Power Infrastructure Projects","source":"openalex","abstract":"The increasing demand for electricity in China necessitates expanding and optimizing power infrastructure projects. However, these projects are often complex, involving numerous stakeholders and heterogeneous data sources. This study investigates the application of digital twin technology in power infrastructure projects to address these challenges. A comprehensive framework integrating Building Information Modeling (BIM), digital twin technology, semantic web technologies, and artificial intelligence is proposed to enhance project management and operational efficiency. The framework's effectiveness was validated through a case study conducted at a power infrastructure construction site in Ma Shan. Multi-sensor platforms were deployed to collect environmental data, which was then integrated using semantic web technologies into a unified RDF format. A web-based platform was developed to display this data in real-time. This enables continuous monitoring and proactive management of environmental conditions. The results demonstrated the successful integration of heterogeneous data and the ability to monitor and manage environmental conditions in real-time. The study highlights the potential of digital twin technology to improve the design, construction, and maintenance phases of power infrastructure projects. Future research should explore the expansion of this framework to other infrastructure domains to maximize its benefits.","url":"https://doi.org/10.23977/jceup.2024.060221","authors":["Liang Zhou"],"tags":["Crystal twinning","Critical infrastructure","Power (physics)","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.23977/jceup.2024.060221","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4407090597","name":"Digital technologies and circularity: trade-offs in the development of life cycle assessment","source":"openalex","abstract":"Abstract Purpose This research aims to develop a critical understanding of the employment of digital technologies (DTs) for LCA studies, outlining both the opportunities and challenges associated with circular strategies. Two research questions are thus addressed: (1) What circular loops and aspects are addressed when digital technologies are integrated in the development of a Life Cycle Inventory? (2) Which trade-offs are revealed in the integration of digital technologies in Life Cycle Inventory development addressing circularity along a life cycle? Methods This study is based on the problematisation approach, which critically examines existing assumptions in the LCA literature, structured into six principles: defining a domain of investigation, articulating and evaluating assumptions, developing alternative perspectives, involving the audience through qualitative interviews, and assessing the alternative assumptions. A systematic literature review (SLR) and semi-structured interviews with experts were conducted to explore these issues and suggest future research directions. Results and discussion It emerges that the DTs are mainly integrated in the Life Cycle Inventory phase capturing closing and narrowing loops, whereas a limited number of cases investigate slowing loops with different aspects investigated. However, even if DTs can facilitate and improve the trustworthiness of the inventory, they can also lead to an increase in complexity because more competencies are needed, it is more difficult to control data collection and elaboration, and more social interactions along the supply chain are needed. At the same time, DTs can reduce flexibility because further improvements are blocked, interfaces can be rigid to connect, and technical and normative updates can be more difficult to implement. Conclusions DTs improve the development of the Life Cycle Inventory phase, particularly in the context of the circular economy. However, they also introduce new complexities and challenges. The use of blockchain, digital twins, and IoT sensors, for instance, has significantly improved data transparency and traceability, which are critical for circular economy practices, but complexity and training requirements can limit their benefits, so careful consideration must be given to their implementation to maximise benefits and minimise drawbacks.","url":"https://doi.org/10.1007/s11367-025-02436-9","authors":["Sara Toniolo","Giada Pierli","Laura Bravi","Lolita Liberatore","Federica Murmura"],"tags":["Life-cycle assessment","Development (topology)","Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-03","doi":"https://doi.org/10.1007/s11367-025-02436-9","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400288169","name":"Exploring the Integration of Digital Twins in 6G Networks","source":"openalex","abstract":"This paper comprehensively investigates the integration of digital twins within 6G network infrastructures, emphasizing their transformative potential for network management and maintenance. By leveraging advanced simulations and theoretical analyses, we explore how digital twins can significantly enhance the capabilities of 6G networks, including improved efficiency, reduced latency, and predictive maintenance functionalities. Our research methodologies utilize a combination of MATLAB and NS3 simulations, which model complex network scenarios to evaluate the performance impacts of digital twins in real-time operations. Furthermore, our study delves into the unique challenges posed by the integration of such advanced technologies, including issues of data synchronization and security, proposing innovative solutions like edge computing for reduced latency and blockchain for enhanced security. The findings suggest that digital twins could play a crucial role in the deployment of 6G networks, offering substantial benefits over traditional network management approaches and paving the way for more reliable, efficient, and user-centric telecommunications infrastructures. This study not only bridges the current knowledge gap concerning digital twins in 6G but also lays the groundwork for future research in enhancing network operations through advanced digital replicas.","url":"https://doi.org/10.36227/techrxiv.171941791.16315148/v1","authors":["Betty Searcy","Maxwell Dona"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-26","doi":"https://doi.org/10.36227/techrxiv.171941791.16315148/v1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407241275","name":"Digital Twins of Different Types Electrical Machines","source":"openalex","abstract":"This paper aims to address key considerations in building digital twins for some of the most commonly used electrical machines, including the Induction Machine with a Squirrel Cage Rotor, DC Machine with Linear Electrical Excitation, DC Machine with Permanent Excitation, Synchronous Machine with Electrical Excitation and Damper, and Synchronous Machine with Permanent Excitation and Damper. These machines, critical across various industries, require precise modeling and real-time monitoring to optimize their performance and lifespan. The development of digital twins for these machines involves creating virtual representations that dynamically mirror their physical counterparts, using real-time data from sensors and advanced simulation techniques. Each machine type presents unique challenges for the digital twin, such as accurately capturing the electromagnetic interactions in the squirrel cage rotor or modeling the excitation systems in synchronous and DC machines. This paper investigates the methodologies for overcoming these challenges, focusing on data acquisition, mathematical modeling, real-time analytics, and predictive diagnostics. The paper also highlights the benefits of digital twin technology, including enhanced operational efficiency, reduced downtime through predictive maintenance, and optimized control under varying load conditions. Additionally, it discusses the integration of digital twins into broader Industrial Internet of Things (IIoT) frameworks, paving the way for more connected and autonomous industrial environments. The findings in this paper provide valuable insights for both researchers and engineers seeking to implement digital twins in electrical machine systems, contributing to improved industrial automation and machine lifecycle management","url":"https://doi.org/10.33042/2079-424x.2024.63.2.01","authors":["Vladyslav Pliuhin","Yevgen Tsegelnyk","Oleksii Slovikovskyi"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-30","doi":"https://doi.org/10.33042/2079-424x.2024.63.2.01","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4396561058","name":"[Digital twin hospitals: transforming the future of healthcare].","source":"openalex","abstract":"Since the concept of digital twin technology has been put forward, after decades of rapid development and wide application, it has not only made great achievements in many fields, but also brought broader prospects for the development of the medical field. As an important trend in the medical industry, digital twin hospitals play multiple roles by connecting physical hospitals and virtual hospitals and benefit the \"patient-medical staff-hospital administrators\", highlighting the immeasurable promising application of digital twin technology in smart hospitals. This review takes digital twin technology as an entry point, briefly introduces the progress of its application in various fields, focuses on the characteristics of digital twin technology, practical application cases in hospitals and their limitations, and also looks forward to its future development prospects, aiming to provide certain useful insights and guidance for the future of digital twin hospitals, and also expecting it to play an important role in changing the future of healthcare to a certain extent.","url":"https://doi.org/10.7507/1001-5515.202310041","authors":["Huijuan Hu","Mingbang Wang","Qifang Lei","Kai Yang","Haiyan Sun","Xiaocen Liu","Song Wu"],"tags":["Health care","Business","Internet privacy","Computer science","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-25","doi":"https://doi.org/10.7507/1001-5515.202310041","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401094434","name":"From Concept to Concrete: Digital Twins Enabling Different Levels of Lean Construction","source":"openalex","abstract":"The integration of Digital Twins (DTs) in Lean Construction (LC) represents a transformative approach to enhance collaboration, efficiency, waste reduction, and decision-making in construction projects.This paper explores the potential of DTs across different levels of LC through a comparative analysis method, aiming to establish a robust implementation foundation for lean organisations.Firstly, at the philosophy level, DTs foster collaboration, transparency, and respect for people by providing real-time data and virtual representations.They enable value maximisation, waste minimisation, and continuous improvement through visualisation, simulation, and data-driven decision-making.Besides, continuous improvement through monitoring and feedback loop.Secondly, at the principles level, DTs align closely with key LC principles such as value maximisation, continuous improvement, waste elimination, pull planning, continuous flow, and fast switch-over.By optimising processes, enhancing monitoring capabilities, and facilitating collaboration, DTs contribute to efficient project delivery.Thirdly, at the methods level, DTs complement LC methods such as Error Proofing, Value Stream Mapping, Target Value Design, and Last Planner System by facilitating real-time collaboration, visualising workflows, engaging stakeholders early, and providing error prevention capabilities.Overall, the strategic integration of DTs and LC thinking leads to improved project efficiency and value delivery, fostering ongoing innovation and improvement in the construction sector.","url":"https://doi.org/10.24928/2024/0206","authors":["Omar A. Owais","Mani Poshdar","Ali Bidhendi","Kamal Jaafar","Saad Sarhan"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-01","doi":"https://doi.org/10.24928/2024/0206","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4399728958","name":"Modeling a digital twin for the optimization of a self-supply energy system for residential use","source":"openalex","abstract":"The climate situation and the energy crisis have prompted a number of policies and strategies that foster the adoption of renewable energy sources. To tackle the intermittency and fluctuations associated with the operation of these sustainable energy sources, renewable hydrogen appears as an appealing solution to decarbonize different economic sectors. In this sense, the design and implementation of a hybrid renewable energy-hydrogen system has led to the first electrically self-sufficient social housing in Spain, located in the town of Novales (Cantabria). On the other hand, the digitization of this type of self-sufficient systems would allow automatic adaptation to changing situations, increasing energy efficiency. In this context, we introduce the design and initial implementation phases of a digital twin architecture that, using machine learning and artificial intelligence techniques, facilitates the optimization of the performance of the physical system by interacting with its control components. This involves the use of telemetry solutions that allow the capture and storage of data from the physical system itself, as well as from the environment, such as instance meteorological data. We also discuss some initial results of the digital twin, which features models of the electrical components of the physical system, based on both their logical behavior and machine learning techniques.","url":"https://doi.org/10.1109/syscon61195.2024.10553483","authors":["Laura Rodríguez de Lope","V.M. Maestre","Luis Díez","Alfredo Ortiz","Ramón Agüero","Inmaculada Ortíz"],"tags":["Computer science","Energy (signal processing)","Energy minimization","Mathematics","Chemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-15","doi":"https://doi.org/10.1109/syscon61195.2024.10553483","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412170503","name":"Advanced User Interaction with Urban Digital Twins using Large Language Models","source":"openalex","abstract":"Abstract. Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer (GPT), commonly known as ChatGPT has witnessed a very rapid evolution which has opened the door for new possibilities across various industries and academic fields. These advanced technologies are transforming how we view and interact with data, how we communicate and solve complex problems. In this paper, we present a framework that employs LLMs to interact with an Urban Digital Twin (UDT) of a district. The framework utilizes the semantic richness of CityGML for representing 3D city models and the SensorThings API for managing dynamic sensor data, allowing users to query and visualize geospatial and dynamic information intuitively. Through experiments with different types of queries from stakeholders, varying from city planners, to utility providers, and citizens, we found that LLMs can effectively translate natural language queries into complex geospatial and temporal operations, narrowing the gap between non-expert users and complex urban datasets into a fine margin. The results shed light on the potential of LLMs to support decision-making in smart city applications.","url":"https://doi.org/10.5194/isprs-annals-x-g-2025-469-2025","authors":["Khaoula Kanna","Thomas H. Kolbe"],"tags":["Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-10","doi":"https://doi.org/10.5194/isprs-annals-x-g-2025-469-2025","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4400168967","name":"CERTIFICATION OF HIGHWAYS USING DIGITAL TECHNOLOGIES AND TWINS","source":"openalex","abstract":"The large scale of the Russian road sector requires the use of digital technologies, the creation of digital twins to improve the quality of management, while limited resources should be taken into account. The purpose of the study is to develop and test an approach to the certification of highways based on the creation of digital twins, taking into account Russian regulatory requirements. In this work, digital twins of roads were obtained based on photographic data and laser scanning using a mobile road laboratory. The quality, accuracy, and completeness of digital twin information meet a Russian regulatory requirement, which makes it possible to generate technical passports for registering objects for cadastral registration. The use of digital twins, compared to field inspection of roads, has a 1.5-2.0 times lower cost and reduces the time required for completing work by 2.5-3.0 times.","url":"https://doi.org/10.55186/2413046x_2024_9_6_279","authors":["Anastasiya Komarova","Anatoliy Akulov"],"tags":["Certification","Computer science","Transport engineering","Engineering","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-30","doi":"https://doi.org/10.55186/2413046x_2024_9_6_279","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4402156069","name":"Digital Twin Based Topology Fingerprinting for Detecting False Data Injection Attacks in Cyber-Physical Systems","source":"openalex","abstract":"A Cyber-Physical System (CPS) employs intercon-nected sensing and actuation modules and applies distributed control strategies. With the major advances in communication technology, the CPS design methodology is getting broadly adopted, including in safety and mission-critical applications. The incorporation of digital twins within a CPS facilitates localized decision-making by the individual control modules within the system in a timely manner without risking stability and performance. However, cyberattacks could be detrimental when false data is injected to degrade the accuracy of the underlying digital twins so that a CPS module takes non-optimal or even risky action that causes application failure. This paper proposes a novel approach for detecting such an attack scenario through a combination of a predictive data model and a topology fingerprinting scheme. Specifically, we employ a recurrent neural network (RNN) to predict the next state (data) for the individual modules and use it to reason about the periodic updates provided by these modules. Then, we apply a data-driven fingerprinting scheme that characterizes the inter-module interaction to infer and classify anomalies based on the module-provided data. The validation results using a dataset of a smart power grid application demonstrate the effectiveness of our approach.","url":"https://doi.org/10.1109/icc51166.2024.10622750","authors":["Javad Bahrami","Mohammad Ebrahimabadi","Mohamed Younis","Naghmeh Karimi"],"tags":["Computer science","Cyber-physical system","Computer security","Topology (electrical circuits)","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-09","doi":"https://doi.org/10.1109/icc51166.2024.10622750","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4396581498","name":"Leveraging computer vision towards high-efficiency autonomous industrial facilities","source":"openalex","abstract":"Abstract Manufacturers face two opposing challenges: the escalating demand for customized products and the pressure to reduce delivery lead times. To address these expectations, manufacturers must refine their processes, to achieve highly efficient and autonomous operations. Current manufacturing equipment deployed in several facilities, while reliable and produces quality products, often lacks the ability to utilize advancements from newer technologies. Since replacing legacy equipment may be financially infeasible for many manufacturers, implementing digital transformation practices and technologies can overcome the stated deficiencies and offer cost-affordable initiatives to improve operations, increase productivity, and reduce costs. This paper explores the implementation of computer vision, as a cutting-edge, cost-effective, open-source digital transformation technology in manufacturing facilities. As a rapidly advancing technology, computer vision has the potential to transform manufacturing operations in general, and quality control in particular. The study integrates a digital twin application at the endpoint of an assembly line, effectively performing the role of a quality officer by utilizing state-of-the-art computer vision algorithms to validate end-product assembly orientation. The proposed digital twin, featuring a novel object recognition approach, efficiently classifies objects, identifies and segments errors in assembly, and schedules the paths through the data pipeline to the corresponding robot for autonomous correction. This minimizes the need for human interaction and reduces disruptions to manufacturing operations.","url":"https://doi.org/10.1007/s10845-024-02396-1","authors":["Ibrahim Yousif","Liam Burns","Fadi El Kalach","Ramy Harik"],"tags":["Production (economics)","Computer science","Manufacturing engineering","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-02","doi":"https://doi.org/10.1007/s10845-024-02396-1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4413104445","name":"A Review of Artificial Intelligence Applications for Biorefineries and Bioprocessing: From Data-Driven Processes to Optimization Strategies and Real-Time Control","source":"openalex","abstract":"This paper reviews the integration of artificial intelligence (AI) and machine learning in biorefineries and bioprocessing, with applications in biocatalysis, enzyme optimization, real-time monitoring, and quality assurance. AI contributes to predictive modeling and allows the precise forecasting of process outcomes, resource management, and energy utilization. AI models, including supervised, unsupervised, and reinforcement learning, support improvements in important bioprocess stages, such as fermentation, purification, and microbial biosynthesis. Digital twins and soft-sensing technologies enable real-time control and increase operational precision in complex bioprocess environments. Hybrid modeling integrates data-driven AI techniques with common scientific principles, improving scalability and adaptability under dynamic operational conditions. This review addresses challenges in AI implementation, such as data standardization, model transparency, and the need for interdisciplinary collaboration. The discussion concludes with future directions and sustainable AI strategies, highlighting the potential of AI to strengthen scalable, efficient, and environmentally sustainable biorefinery operations. These findings highlight how AI-driven methodologies improve operational efficiency, reduce resource waste, and facilitate sustainable innovation in bioprocesses, thereby strengthening sustainability within the bioeconomy.","url":"https://doi.org/10.3390/pr13082544","authors":["Alex Butean","Iulia Cutean","Rubén Barbero","Juan Enríquez","Alexandru Matei"],"tags":["Bioprocess","Computer science","Biochemical engineering","Process engineering","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-12","doi":"https://doi.org/10.3390/pr13082544","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4405810002","name":"Evaluating the Impact of Digital Transformation on Urban Innovation Resilience","source":"openalex","abstract":"Enhancing urban innovation resilience is crucial for adapting to change and pursuing innovation-driven, high-quality development. The global trend of digital transformation has profound implications for urban innovation; however, the specific effects of digital transformation on urban innovation resilience remain insufficiently explored. This study utilizes panel data from 285 prefecture-level and above cities in China, spanning from 2007 to 2022. It treats the Broadband China Pilot (BCP) policy as a quasi-natural experiment of digital transformation and employs a time-varying Difference-in-Differences (DID) method to investigate the impact of digital transformation on urban innovation resilience. The results yield several important insights: (i) digital transformation enhances urban innovation resilience; (ii) the effect of digital transformation on urban innovation resilience is heterogeneous across regions and city sizes; (iii) digital transformation improves urban innovation resilience through the mediation effect of green total factor productivity (GTFP); (iv) urban industrial upgrading and urban innovation vitality play significant moderating roles in the relationship between digital transformation and urban innovation resilience. These findings contribute to a deeper theoretical understanding of the relationship between digital transformation and urban innovation resilience.","url":"https://doi.org/10.3390/systems13010008","authors":["Ruoxi Yu","Yaqian Chen","Yuhuan Jin","Sheng Zhang"],"tags":["Resilience (materials science)","Transformation (genetics)","Digital transformation","Urban resilience","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-26","doi":"https://doi.org/10.3390/systems13010008","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4416409869","name":"Digital twin for the analog scoliometer: advancements in telehealth for paediatric spine deformity care","source":"europepmc","abstract":"In scoliosis care, a spine specialist will measure the lateral curvature of the spine from a radiograph and measure the torso rotation non-radiographically with an analog scoliometer directly on the patient at every surveillance appointment. While radiographs can be taken at any imaging centre and transferred to the treating spine clinic, the patient must visit in-person for monitoring the progression of structural rotation. Until now, distance measurement of the Angle of Trunk Rotation (ATR) has not been possible as no \"virtual\" scoliometer exists. This study describes the development of the first digital twin for the analog scoliometer to enable fast, gravity-independent, reliable and accurate digital ATR measurements from patient-specific 3D virtual models. It mimics the physical measurement process of the ATR using an analog scoliometer in a virtual environment. Validation of the tool showed excellent intra-user (< 0.95) and inter-user (< 0.95) reliability. The digital measurements had a high positive correlation (0.897) and agreement (92.7%) with the analog measurements made clinically. At 6° cut-off, the tool showed a high sensitivity of 90.24% and specificity of 92.31%. Larger device width was not shown to be an advantage. The development of this digital twin is significant for telehealth implementation in paediatric spine deformity management.","url":"https://doi.org/10.1038/s41598-025-25023-2","authors":["Sinduja Suresh","Annabelle Stubbs","Grace Pulling","Amir Mohammad Amiri","Maree T. Izatt","Robert D. Labrom","Geoffrey N. Askin","J. Paige Little"],"tags":["Medicine","Telehealth","Deformity","Physical therapy","Idiopathic scoliosis"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-025-25023-2","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W7160715466","name":"Utilizing Manufacturing Digital Twins for Sustainability Reporting","source":"openalex","abstract":"The advance of digital technologies and the societal imperative to achieve sustainability exposes new pathways for businesses. The environmental and social impacts of industrial operations are well known and there are increasing demands to report impact through voluntary and mandatory corporate stakeholder reporting. The extensive live operations reporting is disconnected from corporate reports built retrospectively from aggregate enterprise data. This paper argues that the disconnect between operations and corporate reporting is a missed opportunity hindered by data integration, absence of frameworks to guide adoption and the missed value that comes from integrated reporting. By considering digital twin data and those of reporting standards such as from the EU’s Corporate Sustainability Reporting Directive, the two could be mapped. Once mapped, a digital twin could be created to generate reporting data and enable improvement evaluation. This paper uses literature and expert interviews to report the requirements for linking digital twins to sustainability reporting. In turn it proposes a framework to guide data mapping and model configuration to use to evaluate the business level impact of operational changes. A discussion on the utility of the framework precedes the conclusion with directions for future research.","url":"https://doi.org/10.1007/978-3-032-21154-5_32","authors":["Yujia Luo","Juan Ramón Candia","Peter Ball"],"tags":["Sustainability","Sustainability reporting","Corporate sustainability","Stakeholder","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-21154-5_32","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4403873632","name":"Safeguarding Critical Infrastructures with Digital Twins and AI","source":"openalex","abstract":"Critical infrastructures (CIs) are complex systems that are integral parts of our daily lives. We use them to access various services related to basic needs, to obtain water, energy and information, to move from one place to another, to work remotely, and so on. It is therefore essential, but challenging, to secure and protect them. On the other hand, digital twins (DTs) and artificial intelligence (AI) represent solid approaches that are well suited to modelling and analyzing complex systems, respectively. In this context, this work can be seen as a white paper that aims first to explore the main characteristics and limitations of DTs and AI when considered in isolation, and then to discuss how their combination as an intelligent entity - which represents a paradigm shift in the protection and resilience of CIs - might be beneficial to overcome such challenges and thus be useful to enhance their protection.","url":"https://doi.org/10.46354/i3m.2024.mas.010","authors":["Wollert T.,"],"tags":["Safeguarding","Computer science","Computer security","Medicine","Nursing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.46354/i3m.2024.mas.010","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4405522326","name":"Digital Twin Framework for Improved Handling of Soft and Deformable Products in Food Manufacturing","source":"openalex","abstract":"The automation of grading, handling and packaging of soft and deformable food products in the industry necessitates precision in manipulation, adaptive gripping, and real-time monitoring to ensure uniform quality and prevent damage. These aspects are the objectives of the European project AGILEHAND. This project aims at developing advanced technologies as a strategic instrument to improve flexibility, agility and reconfigurability of production and logistic systems of the manufacturing companies. In this context, this paper discusses the development of a data-driven framework for automated generation of simulation models for the realization of the digital twins in food factories. The core of this framework involves discrete event simulation: by real system data it is possible to streamline the reconfiguration of production and logistic systems. During this process, it is also possible to promptly identify design or process sequence problems at an early stage through cross-domain simulation. Firstly, this framework supports the project manager in scheduling production by optimising resources and minimising the order of Estimated Time of Arrival. Then, during the system monitoring phase, it simulates new scenario to find the proper corrective action when a significant deviation from the plan occurs. In the end, the accurate capture of dynamics arising in the physical layer allows an effective evaluation of their negative effects on the system's overall operational state. This approach supports informed decision-making in planning and controlling logistics, production, and associated activities, providing a comprehensive framework for enhanced operational efficiency.","url":"https://doi.org/10.1109/ice/itmc61926.2024.10794319","authors":["Matteo Iacovanelli","Giovanni Mazzuto","Marco Ortenzi","Filippo Emanuele Ciarapica","Maurizio Bevilacqua","Marco Rossi"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-24","doi":"https://doi.org/10.1109/ice/itmc61926.2024.10794319","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4410871343","name":"Design Principles for Food Heritage Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-87880-0_10","authors":["Ivo Mendes","José Monteiro","João Barata"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-87880-0_10","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4381277713","name":"Editorial: Accelerating the digital transformation and green transition towards a more inclusive society: shaping dialogue on the twin challenges","source":"openalex","abstract":"","url":"https://doi.org/10.1108/jstpm-07-2023-194","authors":["Patricia Ordóñez de Pablos"],"tags":["Transition (genetics)","Transformation (genetics)","Political science","Social transformation","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-30","doi":"https://doi.org/10.1108/jstpm-07-2023-194","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4400227578","name":"Network Digital Twins: Framework, Applications, and Challenges","source":"openalex","abstract":"Network digital twins (NDT) are transformative technologies that replicate physical network infrastructures in a virtual environment. These virtual models integrate real-time data feeds and advanced predictive analytics to simulate and forecast network behaviors, thus facilitating proactive management and decision-making processes. This technology underpins critical improvements in operational efficiency, reliability, and innovation in network management. By offering insights into potential failures and system efficiencies before they manifest in the physical world, NDTs enable stakeholders to make more informed, data-driven decisions. This paper explores the intricate framework of NDTs, their application across diverse industries, and the challenges they face, emphasizing their role in optimizing network performance and driving the next wave of digital transformation.","url":"https://doi.org/10.36227/techrxiv.171995274.45268502/v1","authors":["Benjmy Huff","Kassi Uregdthsa","Kamry Muhammad","Cory Searcy"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-02","doi":"https://doi.org/10.36227/techrxiv.171995274.45268502/v1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4395675947","name":"IT-Framework for Digital Energy Twin/Shadow Applications","source":"openalex","abstract":"Digital Energy Twins are IT systems, interconnecting sensor data, simulation models and user interfaces to formulate a virtual representation of the behavior of real energy systems. Digital Energy Twins are useful to predict the behavior of energy systems under varying boundary conditions and to optimize their operation considering economic and ecologic impact. Two different concepts of Digital Twins applicable to industrial energy systems were demonstrated: Digital Energy Twins and Digital Energy Shadows. While in literature, the term “Digital Twin” is widely used as synonym, for rather different applications involving simulations and virtual models connected to real-world data, this paper elaborates on the differences between digital twins and digital shadows in more detail. Given by the complexity of real-world energy systems (heat and electricity) and their implications on real time simulation, the concepts are demonstrated on different TRL levels. The results show the benefits and limitations of Digital Energy Twin and Digital Energy Shadow applications in relevant environments.","url":"https://doi.org/10.52825/isec.v1i.1089","authors":["Wolfgang Weiß","Carles Ribas-Tugores"],"tags":["Shadow (psychology)","Computer science","Energy (signal processing)","Computer graphics (images)","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-26","doi":"https://doi.org/10.52825/isec.v1i.1089","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4415594999","name":"On the issue of digital personality and digital twin in the formation of identity in distance education","source":"openalex","abstract":"The goal of the study considered in the article is to conduct a theoretical analysis of the role of digital personality and digital twin in shaping personal identity within the context of distance education. The study aims to explore the interaction between real personality, its digital projection, and the digital twin in the context of online learning, as well as to identify opportunities and challenges associated with the use of digital technologies in education. The research is based on a comprehensive literature review, including classical and contemporary works in psychology, education, and digital technologies. Comparative analysis and conceptual modeling methods are employed to study the impact of distance learning on personal identity. The study also incorporates ideas from self-awareness, self-determination theories, and digital identity. The study reveals that digital personality allows individuals to experiment with various aspects of their identity, while the digital twin provides tools for behavior analysis and prediction. However, the gap between real and digital personalities can lead to identity distortion. The findings can be used to develop educational platforms that support holistic personality development and programs aimed at enhancing self-discipline and managing digital identity. The practical significance of the research lies in the development of recommendations for educators and platform developers. The proposed approaches will help create an inclusive and supportive digital environment, fostering comprehensive personality development in distance education. The results can be used to improve student motivation, increase engagement in the educational process, and mitigate risks associated with digital identity. The study is targeted at educators, platform developers, and researchers, making it relevant for practical application. The novelty of the results lies in a comprehensive approach to analyzing the interaction between digital personality and digital twin in education. The research has international significance, as the digitalization of education is a global trend, and its findings can be useful for researchers and practitioners worldwide.","url":"https://doi.org/10.32517/0234-0453-2025-40-4-18-27","authors":["Oksana Fotina"],"tags":["Personality psychology","Personality","Context (archaeology)","Identity (music)","Digital identity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-26","doi":"https://doi.org/10.32517/0234-0453-2025-40-4-18-27","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4411782466","name":"Applications of Building Information Modeling (BIM) and BIM-Related Technologies for Sustainable Risk and Disaster Management in Buildings: A Meta-Analysis (2014–2024)","source":"openalex","abstract":"Sustainable risk and disaster management in the built environment has become a critical research focus amid escalating environmental challenges. Building Information Modeling (BIM) is recognized as a key digital tool for enhancing disaster resilience through simulation, data integration, and collaborative management. This study systematically reviews BIM applications in sustainable risk and disaster management from 2014 to 2024, employing the PRISMA framework, literature coding, and network analysis. Five primary research clusters are identified: (a) sustainable construction and life cycle assessment, (b) performance evaluation and implementation, (c) technology integration and digital innovation, (d) Historic Building Modeling (HBIM) and post-disaster reconstruction, and (e) project management and technology adoption. Despite increasing scholarly attention, the field remains dominated by conceptual studies, with limited empirical exploration of emerging technologies such as artificial intelligence (AI). Four key challenges are highlighted: weak foundational integration with structural risk research, technological bottlenecks in AI and digital applications, limited practical implementation, and insufficient linkage between sustainability and risk management. Future trends are expected to focus on achieving Industry 4.0 interoperability, advancing AI-driven intelligent disaster response, and adopting multi-objective optimization strategies balancing resilience, sustainability, and cost-effectiveness. This study provides a comprehensive overview of the field’s evolution and offers insights into strategic directions for future research and practical innovation.","url":"https://doi.org/10.3390/buildings15132289","authors":["Jiao Wang","Yuchen Ma","Rui Li","Suxian Zhang"],"tags":["Building information modeling","Emergency management","Construction engineering","Risk management","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-29","doi":"https://doi.org/10.3390/buildings15132289","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7131217370","name":"Digital Twin-Enabled Human–Robot Collaborative Assembly: A Review of Technical Systems, Application Evolution, and Future Outlook","source":"openalex","abstract":"With the transition from Industry 4.0 to Industry 5.0, human–robot collaborative assembly (HRCA) has progressed from physical copresence to cognitive integration and knowledge sharing. Digital twins (DTs) serve as enabling technologies that connect physical and virtual spaces. Support is provided for dynamic, safe, and human-centered collaboration. This study presents a systematic review of the research progress and practical applications of DT-enabled HRCA. First, conceptual boundaries between HRCA and general human–robot collaboration (HRC) in manufacturing are defined. Core elements of DT-driven state perception, task planning, and constraint modeling are described. Second, four task-allocation paradigms are classified and summarized, including optimization-based, constraint satisfaction-based, data-driven intelligent, and large language model (LLM)-assisted approaches. Applicable scenarios are identified. Third, the effects of collaboration modes and interaction modalities on planning logic are analyzed. Collaboration modes are categorized as parallel, sequential, and tightly coupled. Interaction modalities are grouped into AR-based explicit interaction, implicit intention perception, and multimodal fusion. Fourth, cross-domain application characteristics and engineering bottlenecks are summarized. Target domains include precision assembly, disassembly and remanufacturing, and construction on-site operations. Finally, four core challenges are distilled, including dynamic uncertainty, multi-objective conflicts, human factor adaptation, and system integration. Four future directions are outlined: LLM-enabled adaptive planning, safety–efficiency co-optimization, personalized collaboration, and standardized integration. The proposed technology–application–challenge–outlook framework is intended to provide a theoretical reference and practical guidance for transitioning HRCA from laboratory prototypes to large-scale industrial deployment.","url":"https://doi.org/10.3390/machines14030255","authors":["Qingwei Nie","Jingtao Chen","Changchun Liu","Zhen Zhao","Haoxuan Xu"],"tags":["Modalities","Constraint (computer-aided design)","Computer science","Task (project management)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-24","doi":"https://doi.org/10.3390/machines14030255","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411472999","name":"Prioritising Critical Barriers to Digital Twins Implementation for Sustainable Smart Facility Management in the Built Environment: A Global Study","source":"openalex","abstract":"Digital twins (DT) is a potent technology that could revolutionise the built environment towards sustainable smart facility management (FM). However, there are critical barriers that prior studies have not paid much attention to. Thus, this paper investigates the barriers to effective DT implementation for sustainable smart FM by exploring and prioritising them. This is achieved via a quantitative design comprising a literature review and a global expert survey. The design is further integrated with critical analysis and Pareto analysis. The study revealed an adequate level of agreement on the notion that DT if implemented effectively could achieve sustainable smart FM in the built environment. Further analysis revealed 30 critical barriers, of which 23 need to be prioritised, with the top four including “high cost of procuring hard digital technologies”, lack of technical know-how”, “lack of a systematic and comprehensive DT reference mode”, and “data safety and security”. Prioritising these critical barriers, professionals can become efficient decision-makers and policymakers in implementing DT for sustainable smart FM, realising the United Nations sustainable development goals 9, 11, 12, and 13. The study creates awareness of the critical barriers, generating an avenue for future researchers in the built environment to enhance the effective implementation of DT for sustainable smart FM. This could create a positive cost-benefit balance and unlock a future of operational excellence by carefully analysing DT’s unique needs and adopting a strategic measure to achieve sustainability in FM","url":"https://doi.org/10.7771/3067-4883.1911","authors":["Frank Ato Ghansah","Chika Udeaja","Amos Darko","Weisheng Lu","George Agyekum‐Mensah","Prince Antwi-Afari","Samuel Twum-Ampofo","Benjamin Kwaku Ababio","Caleb Debrah"],"tags":["Facility management","Built environment","Business","Environmental resource management","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.1911","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4391835855","name":"A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle","source":"openalex","abstract":"In this paper, we present a novel digital twin prototype for a learning-enabled self-driving vehicle. The primary objective of this digital twin is to perform traffic sign recognition and lane keeping. The digital twin architecture relies on co-simulation and uses the Functional Mock-up Interface and SystemC Transaction Level Modeling standards. The digital twin consists of four clients, i) a vehicle model that is designed in Amesim tool, ii) an environment model developed in Prescan, iii) a lane-keeping controller designed in Robot Operating System, and iv) a perception and speed control module developed in the formal modeling language of BIP (Behavior, Interaction, Priority). These clients interface with the digital twin platform, PAVE360-Veloce System Interconnect (PAVE360-VSI). PAVE360-VSI acts as the co-simulation orchestrator and is responsible for synchronization, interconnection, and data exchange through a server. The server establishes connections among the different clients and also ensures adherence to the Ethernet protocol. We conclude with illustrative digital twin simulations and recommendations for future work.","url":"https://doi.org/10.48550/arxiv.2402.09097","authors":["AbdElSalam, Mohamed","Ali Loai","Bensalem Saddek","He Weicheng","Panagiotis Katsaros","Kekatos, Nikolaos","Peled Doron","Temperekidis Anastasios","Changshun Wu"],"tags":["Computer science","Interface (matter)","SystemC","Ethernet","Interconnection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-14","doi":"https://doi.org/10.48550/arxiv.2402.09097","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4408225569","name":"Artificial intelligence for digital citizen participation: Design principles for a collective intelligence architecture","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.giq.2025.102020","authors":["Nicolás Bono Rosselló","Anthony Simonofski","Annick Castiaux"],"tags":["Collective intelligence","Citizen science","Architecture","Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-07","doi":"https://doi.org/10.1016/j.giq.2025.102020","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4410572233","name":"The Interplay of Digital Responsibility and Digital Transformation: Empirical Insights from a Nationwide Digital Transformation","source":"openalex","abstract":"Abstract As digital transformation progresses, research broadens its perspective to not only focus on the positive effects but also on the adverse impacts of the increasing use of digital technologies. Against this backdrop, the issue of being responsibly digital moves to the foreground in research and practice. The need for further research on the conceptualization of digital responsibility and its role in the context of digital transformation has been indicated by the literature. In this paper, we empirically investigate the interplay of digital responsibility and digital transformation in the context of large-scale digital transformation. Based on our results, we derive four core contributions for IS theory as we highlight the prime role of digital responsibility in contemporary digital transformation processes, refine the conceptualization of digital responsibility in the context of digital transformation, propose six dynamic interplays of digital responsibility and digital transformation, and present promising avenues for further research on this increasingly relevant phenomenon.","url":"https://doi.org/10.1007/s10796-025-10610-5","authors":["Isabella Urban","Ralf Plattfaut"],"tags":["Digital transformation","Transformation (genetics)","Computer science","Empirical research","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-21","doi":"https://doi.org/10.1007/s10796-025-10610-5","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402790024","name":"The need for adaptive forest management based on predictions using digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.20659/jjfp.a20240601","authors":["Kazuhiro Tanaka"],"tags":["Adaptive management","Computer science","Environmental science","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-24","doi":"https://doi.org/10.20659/jjfp.a20240601","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4414676427","name":"Transforming resilience with predictive digital twin technologies","source":"openalex","abstract":"This research examines the role of digital twin technology in enhancing disaster preparedness and response frameworks, with a focus on scenarios involving tsunamis, earthquakes, and floods. The primary objective was to evaluate how digital twins integrate real-time data, predictive modelling, and stakeholder engagement to enhance resilience. A systematic literature review was conducted in accordance with PRISMA guidelines, screening 342 studies and narrowing the selection to 120 high-quality sources that met the inclusion criteria. The analysis revealed that digital twin models improved forecast accuracy by an average of 28% compared to traditional disaster models, particularly in tsunami inundation mapping and urban flood simulations. Community engagement through interactive platforms was reported in 62% of the reviewed cases, with direct evidence of faster evacuation and resource allocation. Post-disaster recovery applications demonstrated measurable efficiency gains, reducing infrastructure restoration times by approximately 15%. However, data gaps and interoperability issues were identified as recurring limitations, contributing to an estimated error margin of 8–12% in predictive outputs. Overall, the findings confirm that digital twins offer a transformative pathway for proactive disaster management. While challenges in data quality and governance remain, their integration into national frameworks could significantly enhance both preparedness and resilience.","url":"https://doi.org/10.30574/wjbphs.2025.23.3.0850","authors":["Ifeoluwa Elemure","Elizabeth A. Adeola","Adeyinka G. Ologun","Owoade O. Odesanya","Peter T. Oluwasola","Salau Olabisi D"],"tags":["Interoperability","Community resilience","Process management","Resilience (materials science)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-30","doi":"https://doi.org/10.30574/wjbphs.2025.23.3.0850","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7133123630","name":"Simulator-Based Digital Twin of a Robotics Laboratory","source":"openalex","abstract":"Simulator-based digital twins are widely used in robotics education and industrial development to accelerate prototyping and enable safe experimentation. However, they often hide implementation details that are essential for understanding, diagnosing, and correcting system failures. This paper introduces a technology-independent model-based design framework that provides students with full visibility of the computational mechanisms underlying robotic controllers while remaining feasible within a 150-h undergraduate course. The approach relies on representing controller behavior using networks of Extended Finite State Machines (EFSMs) and their stacked extension (EFS2M), which unify all abstraction levels of the control architecture—from low-level reactive behaviors to high-level deliberation—under a single formal model. A structured programming template ensures traceable, optimization-free software synthesis, facilitating debugging and enabling self-diagnosis of design flaws. The framework includes real-time synchronized simulation, transparent switching between virtual and physical robots, and a smart data logger that captures meaningful events for model updating and error detection. Integrated into the Intelligent Robots course, the system supports topics such as kinematics, control, perception, and simultaneous localization and mapping (SLAM) while avoiding dependency on specific middleware such as Robot Operating System (ROS) 2. Over three academic years, students reported positive hands-on experiences, strong adaptability to diverse modeling approaches, and consistently high survey ratings reflecting the course’s overall quality. The proposed environment thus offers an effective methodology for teaching end-to-end robot controller design through transparent, simulation-driven digital twins.","url":"https://doi.org/10.3390/machines14030273","authors":["Lluís Ribas-Xirgo"],"tags":["Debugging","Robotics","Computer science","Robot","Abstraction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.3390/machines14030273","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409905385","name":"Approach to implant monitoring and data processing with digital implant lifecycle management","source":"europepmc","abstract":"Reducing implant failure rates is a primary research objective, involving the development of monitoring methods, new treatment options, improved manufacturing strategies, and innovative implant designs. The goal is to enhance product efficiency across generations by using information from previous iterations to improve patient outcomes. This paper aims to create an information management framework for implant-related data to enhance lifecycle monitoring. Strategies from product lifecycle management, condition-based maintenance, and the digital twin are applied to medical implant monitoring. The proposed digital implant lifecycle management concept records and processes data throughout the implant's lifecycle, from design and manufacturing to use and disposal. Implemented using an XML-data structure in simulation software, the concept focuses on manufacturing and monitoring, using total knee arthroplasty as an example. A simulation study demonstrates that the digital twin of the implant can simulate various manufacturing scenarios to optimize process parameters, reducing planning efforts for individual implants by up to 28%. The presented concept significantly improves implant and patient monitoring, enhances communication among stakeholders, and allows for scenario simulations to predict implant behaviour and improve future generations.","url":"https://doi.org/10.1038/s41598-025-99975-w","authors":["Berend Denkena","Marcel Wichmann","Max-Enno Eggers","Crystal Kayaro Emonde","Christof Hurschler"],"tags":["Application lifecycle management","Implant","Computer science","Product lifecycle","Product (mathematics)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-025-99975-w","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4416194326","name":"Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review","source":"openalex","abstract":"Background: Increasing demand on health care systems requires innovative, transformative solutions for efficient, high-quality care. One promising approach is digital twin (DT) technology, which leverages real-time data to create dynamic, virtual representations of a physical entity (individuals or space) to anticipate future scenarios and support care decisions. Although DTs have been explored in various sectors, their application in hospital at home (HaH), which delivers acute-level care in home environments, remains unexplored. Objective: This review bridges a critical knowledge gap, examining existing evidence on DT-enabling tools to manage patients with frailty in home settings. This will identify the underpinning architectural components required to inform an HaH-DT system supporting clinical decision-making. Methods: We searched 6 electronic databases and gray literature for primary English-language studies published between January 2019 and September 2025. Included studies reported on the monitoring or management of patients with frailty within their own home. Information was charted on a predefined data collection form to answer the research objectives. Review articles, protocols, and conference abstracts were excluded. Results: We included 69 reports: 54% (37/69) used quantitative approaches, and 36% (25/69) were pilot or feasibility studies. Reports were analyzed for DT-enabling tools and systematically mapped across the proposed 5-layered DT architecture: sensing, communication, storage, analytics, and visualization. DT layer taxonomies, interconnections, and classifications of data types collected (eg, about the patient, home environment, use of medical equipment) are presented. This evidence identifies DT-enabling tools for a variety of functions and a range of sensing technologies (eg, wearable-based passive sensing, active physiological sensors, ambient sensors detecting motion or environmental changes). The most prevalent communication modes were wireless and network-based (36/112, 32.1%), the majority (12/36, 33%) using Bluetooth. Better understanding of data management, particularly secure storage, is required within local health care systems. The emerging potential of predictive and prescriptive analytics for risk prediction, clinical decision-making, or activation of alert-triggered health interventions by clinicians was mapped. Analytics methods are currently largely descriptive. Advanced methods such as prescriptive analytics for recommendations of an optimal course of action and diagnostic analytics that highlight why a situation has occurred are lacking. DT-enabling tools demonstrate patient-centered benefits, including enhanced motivation, reassurance, and personalized care. Concerns include device accuracy, user acceptability, and implications for carers and organizational workflows. Conclusions: This review is among the first to systematically map DT-enabling tools to inform a potential HaH DT for patients with frailty, organized by a 5-layered conceptual model. Understanding these architectural layers provides the foundations for stakeholders to advance research and development in areas where there are knowledge gaps and consider how an HaH DT can effectively operate within current health care systems. Leveraging technology-enabled care in complex home-based settings provides great potential to deliver safer, personalized, timely care.","url":"https://doi.org/10.2196/81510","authors":["Faiza Yahya","Matthew Cooper","Wahib Saif","Mohamad Kassem","Hamde Nazar"],"tags":["Knowledge management","Health care","Digital health","Psychology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-14","doi":"https://doi.org/10.2196/81510","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7124744077","name":"An Intelligent Predictive Maintenance Architecture for Substation Automation: Real-World Validation of a Digital Twin and AI Framework of the Badra Oil Field Project","source":"openalex","abstract":"The increasing complexity of modern electrical substations—driven by renewable integration, advanced automation, and asset aging—necessitates a transition from reactive maintenance toward intelligent, data-driven strategies. Predictive maintenance (PdM), supported by artificial intelligence, enables early fault detection and remaining useful life (RUL) estimation, while Digital Twin (DT) technology provides synchronized cyber–physical representations for situational awareness and risk-free validation of maintenance decisions. This study proposes a five-layer DT-enabled PdM architecture integrating standards-based data acquisition, semantic interoperability (IEC 61850, CIM, and OPC UA Part 17), hybrid AI analytics, and cyber-secure decision support aligned with IEC 62443. The framework is validated using utility-grade operational data from the SS1 substation of the Badra Oil Field, comprising approximately one million multivariate time-stamped measurements and 139 confirmed fault events across transformer, feeder, and environmental monitoring systems. Fault detection is formulated as a binary classification task using event-window alignment to the 1 min SCADA timeline, preserving realistic operational class imbalance. Five supervised learning models—a Random Forest, Gradient Boosting, a Support Vector Machine, a Deep Neural Network, and a stacked ensemble—were benchmarked, with the ensemble embedded within the DT core representing the operational predictive model. Experimental results demonstrate strong performance, achieving an F1-score of 0.98 and an AUC of 0.995. The results confirm that the proposed DT–AI framework provides a scalable, interoperable, and cyber-resilient foundation for deployment-ready predictive maintenance in modern substation automation systems.","url":"https://doi.org/10.3390/electronics15020416","authors":["Sarmad Alabbad","Hüseyin Altınkaya"],"tags":["Predictive maintenance","Situation awareness","Fault (geology)","Fault detection and isolation","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-17","doi":"https://doi.org/10.3390/electronics15020416","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4400376574","name":"Design of a UE5-based digital twin platform","source":"openalex","abstract":"Aiming at the current mainstream 3D scene engine learning and building cost is too high, this thesis proposes a digital twin platform design program based on Unreal Engine 5 (UE5). It aims to provide a universal platform construction design process to effectively reduce the learning cost of large-scale scene construction. Taking an actual project of a unit as an example, the overall cycle work of platform building is explained, and the digital twin and data visualization technologies and applications based on UE5 are analyzed. By summarizing the project implementation into a process approach, the standardization and operability of the process pathway is improved.","url":"https://doi.org/10.48550/arxiv.2407.03107","authors":["Shaoqiu Lyu","Wang, Muzhi","Sunrui Zhang","Shengzhi Wang"],"tags":["Computer science","Computer graphics (images)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-03","doi":"https://doi.org/10.48550/arxiv.2407.03107","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4405521969","name":"Do Digital Twins Require Physical Simulations? A Study of Developing Digital Twins with Varying Reliance on Physics-Based Models","source":"openalex","abstract":"Digital Twins (DTs) rely on the alignment of a physical asset and its digital representation to provide a useful insight into its operation. By bridging the gap between a physical entity and process data collected in real time, DTs have been at the forefront of the most recent wave of industrial digitisation. Due to the great variety of assets which can be modelled with a DT, there is no standardised way to develop one. Successful DT implementations found in literature vary from being strongly dependent on physical simulations, to being solely data-driven. Therefore, the consideration of the DT design process addressed in this work is necessary for incorporating physics-based models. To this end, we group DTs into three categories, namely: purely data-driven DTs, physics-based DTs and physics-informed DTs. We choose representative cases from literature to explain their distinguishing features, describe the intrinsic differences, as well as draw conclusions on their advantages and limitations. We then present the case study of developing a DT for FastBlade, a facility for regenerative testing of tidal turbine blades. We discuss the challenges and opportunities associated with the facility to assess the suitability of each of the three distinct DT development strategies. The complexity of the energy-recovery system, unknown asset internals, as well as the broad scope of the sensing and logging network are identified to be the key decisive factors. Finally, we suggest developing a physics-informed DT for FastBlade as the optimal route.","url":"https://doi.org/10.1109/ice/itmc61926.2024.10794252","authors":["Marek J Munko","Matjaž Vidmar","Conchúr M. Ó Brádaigh","Fergus Cuthill","Miguel A Valdivia Camacho","Sergio Lopez Dubon"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-24","doi":"https://doi.org/10.1109/ice/itmc61926.2024.10794252","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7134267770","name":"Digital Media Use and Child Health and Development","source":"openalex","abstract":"Importance: This systematic review and meta-analysis synthesized global longitudinal studies to estimate associations between social media, video games, and other digital media use with health and developmental outcomes in children and adolescents. Objective: To provide a meta-analytic synthesis of evidence on digital media use and health and developmental outcomes among individuals aged 0 to 18 years. Data Sources: This review was preregistered with PROSPERO, MEDLINE, PsycINFO, EMBASE, and ERIC databases and gray literature were searched from 2000 to 2024. Study Selection: Inclusion criteria were English-language longitudinal studies of participants aged 0 to 18 years reporting quantitative associations between digital media use and health or developmental outcomes. Data Extraction and Synthesis: Following PRISMA guidelines, 153 studies (115 cohorts, 1072 effect sizes) from 18 933 articles met criteria for quantitative synthesis. Random-effects meta-analyses estimated pooled correlations (r) with 95% CIs. Heterogeneity and moderators (age, sex, measurement method, follow-up duration, year of exposure) were examined. Study quality was assessed using the National Institutes of Health's Quality Assessment Tool. These data were analyzed from February 2025 to August 2025. Main Outcomes and Measures: Primary outcomes were socialemotional, cognitive, physical and motor health, and development associations. Results: A total of 153 studies (115 cohorts, 1072 effect sizes) with 18 933 participants met criteria for quantitative synthesis. Study participant ages ranged from 2 to 19 (mean [SD], 12.81 [2.79]) years, with 53.8% female and 46.2% male. Most studies were conducted in Europe (62 [40.5%]) and North America (60 [39.2%]), followed by Asia (22 [14.4%]), Australia (5 [3.3%]), and Latin America (1 [0.7%]). Social media use was associated with higher depression, externalizing and internalizing behaviors, self-injurious thoughts, problematic internet use, and substance use (r = 0.09; 95% CI, 0.06-0.12 to r = 0.21; 95% CI, 0.13-0.29) and also with lower academic achievement, poorer self-perception, and less positive development (r = -0.14; 95% CI, -0.26 to -0.01 to r = -0.07; 95% CI, -0.11 to -0.02). Video gaming was associated with higher aggression and externalizing behaviors (r = 0.16; 95% CI, 0.09-0.23 and r = 0.17; 95% CI, 0.07-0.26, respectively) and higher attention/executive functioning (r = 0.10; 95% CI, 0.03-0.16). Other digital media use, including digital device use and messaging/communication media, was associated with depression (r = 0.05; 95% CI, 0.00-0.09 to r = 0.12; 95% CI, 0.02-0.22). Associations between social media and depression were stronger in early adolescence (β = 0.09) and with self or parent-reported outcomes (β = 0.09); associations between social media and positive development were stronger with objective exposure measurement (β = 0.08). More recent social media exposure years showed stronger associations with substance use (β = 0.10). Conclusions and Relevance: In this systematic review and meta-analysis, digital media use was consistently associated with risks to child and adolescent health and development, particularly for social media. These findings highlight the need for targeted, multifaceted policies and interventions to mitigate potential harms from digital media exposure.","url":"https://doi.org/10.1001/jamapediatrics.2026.0085","authors":["Samantha Teague","Klaire Somoray","Adrian Shatte","Daniel J. Miller","Kristian Moss","Andrew Crawford","Harrison Wildman","Diana Kayal","D. C. S. Hutchinson"],"tags":["Medicine","Social media","Psychological intervention","Child health","Digital media"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-09","doi":"https://doi.org/10.1001/jamapediatrics.2026.0085","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4401617560","name":"Real-time supplier selection using digital twin technology: an Analytic Hierarchy Process-based optimization approach","source":"openalex","abstract":"Today, the selection of the optimal suppliers plays an increasingly important role in the efficient operation of supply chains. One of the main reasons for this is that the fourth industrial revolution has seen the emergence of increasingly complex supply chains, involving a growing number of suppliers to meet increasingly diversified customer needs. While manufacturing companies use framework contracts to secure the parts needed to meet uncertain customer needs, framework contracts often fix requirements for a fixed future period in the light of past supplier performance. The Fourth Industrial Revolution is enabling the use of a number of new methods and tools to collect real-time data on supply chain operations and to define key performance indicators (KPIs) that show the performance of individual players in the value chain in real time. In this paper, the author proposes a supplier selection method based on analytic hierarchy process (AHP) that is able to determine the optimal suppliers for current component requirements in real time based on real-time information about the state of each player in the supply chain.","url":"https://doi.org/10.32971/als.2024.021","authors":["Ágota Bányainé Tóth"],"tags":["Analytic hierarchy process","Selection (genetic algorithm)","Computer science","Process (computing)","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.32971/als.2024.021","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412182064","name":"Integrating Digital Twin and Machine Learning for Cost-Efficient Optimization in Frozen Seafood Manufacturing: A Structured Review and Framework","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.5347468","authors":["Krit nuanjan","Youlin Zhao","Krerkchai Thongnoo"],"tags":["Manufacturing engineering","Computer science","Industrial engineering","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.2139/ssrn.5347468","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4406957973","name":"The Authenticity Requirement: Why Using Digital Twins for Achieving Person-Span Extension Goods Can Be Self-Defeating","source":"pubmed","abstract":"Iglesias et al. (2025) argue that digital twins could serve as tools for achieving certain person-span extension goods, specifically legacy/impact and relational aims. The former pertain to broadly...","url":"https://doi.org/10.1080/15265161.2024.2441761","authors":["Davide Battisti","Battisti D"],"tags":["Extension (predicate logic)","Span (engineering)","Computer science","Psychology","Engineering"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"https://doi.org/10.1080/15265161.2024.2441761","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"oa:W4409904628","name":"Rethinking Poultry Welfare—Integrating Behavioral Science and Digital Innovations for Enhanced Animal Well-Being","source":"openalex","abstract":"The relentless drive to meet global demand for poultry products has pushed for rapid intensification in chicken farming, dramatically boosting efficiency and yield. Yet, these gains have exposed a host of complex welfare challenges that have prompted scientific scrutiny and ethical reflection. In this review, I critically evaluate recent innovations aimed at mitigating such concerns by drawing on advances in behavioral science and digital monitoring and insights into biological adaptations. Specifically, I focus on four interconnected themes: First, I spotlight the complexity of avian sensory perception—encompassing vision, auditory capabilities, olfaction, and tactile faculties—to underscore how lighting design, housing configurations, and enrichment strategies can better align with birds’ unique sensory worlds. Second, I explore novel tools for gauging emotional states and cognition, ranging from cognitive bias tests to developing protocols for identifying pain or distress based on facial cues. Third, I examine the transformative potential of computer vision, bioacoustics, and sensor-based technologies for the continuous, automated tracking of behavior and physiological indicators in commercial flocks. Fourth, I assess how data-driven management platforms, underpinned by precision livestock farming, can deploy real-time insights to optimize welfare on a broad scale. Recognizing that climate change and evolving production environments intensify these challenges, I also investigate how breeds resilient to extreme conditions might open new avenues for welfare-centered genetic and management approaches. While the adoption of cutting-edge techniques has shown promise, significant hurdles persist regarding validation, standardization, and commercial acceptance. I conclude that truly sustainable progress hinges on an interdisciplinary convergence of ethology, neuroscience, engineering, data analytics, and evolutionary biology—an integrative path that not only refines welfare assessment but also reimagines poultry production in ethically and scientifically robust ways.","url":"https://doi.org/10.3390/poultry4020020","authors":["Suresh Neethirajan"],"tags":["Animal welfare","Welfare","Business","Computer science","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-29","doi":"https://doi.org/10.3390/poultry4020020","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4409442567","name":"The Role of Digital Twin Technology in Enhancing Supply Chain Resilience and Predictive Risk Management","source":"openalex","abstract":"The increasing complexity and vulnerability of global supply chains have amplified the need for technologies that enable agility, foresight, and resilience. Amid ongoing disruptions driven by pandemics, geopolitical uncertainty, and climate events, Digital Twin Technology (DTT) has emerged as a transformative solution. While extensively explored in the engineering and manufacturing sectors, its application in supply chain management—particularly its influence on resilience, predictive risk management, operational efficiency, and visibility—remains under-researched. This study addresses this gap by exploring how DTT adoption influences these critical dimensions of supply chain performance. Using a qualitative research design, this study employed semi-structured interviews with 15 supply chain and technology professionals across diverse sectors. The participants were selected based on their experience with digital transformation and risk mitigation in supply chain settings. The collected data was analysed through thematic analysis, allowing the identification of recurring patterns and the construction of thematic categories that reflect the role of DTT in enhancing various supply chain outcomes. The analysis revealed five core themes directly aligned with the proposed conceptual model: Real-Time Data Integration Enhancing Visibility, Simulation and Scenario Planning Driving Risk Management, Organizational Readiness and System Interoperability Influencing Operational Efficiency, Predictive Analytics Enabling Faster Disruption Response, and Strategic Agility Facilitating Supply Chain Resilience. The findings support the conceptual pathway in which DTT, characterized by real-time integration, simulation capabilities, and predictive analytics, significantly contributes to improved supply chain resilience, more effective predictive risk management, increased operational efficiency, and enhanced end-to-end visibility. However, barriers such as data interoperability, high implementation costs, and limited digital capabilities among SMEs were also reported. This study makes a theoretical contribution by empirically validating the multi-dimensional impact of Digital Twin Technology as an independent variable influencing four core dependent dimensions of supply chain performance: resilience, predictive risk management, operational efficiency, and visibility. The findings affirm that DTT enables firms not only to react to disruptions but also to anticipate and simulate potential risks, thus reinforcing a proactive and data-driven supply chain strategy. These insights are particularly relevant for policymakers and business leaders aiming to strengthen supply chain infrastructures in volatile environments. The research also highlights the importance of strategic alignment, technological maturity, and investment in digital capabilities to fully leverage the transformative potential of digital twins.","url":"https://doi.org/10.47191/rajar/v11i4.04","authors":["Faiq Ali Khan","Shankar S. Iyer"],"tags":["Resilience (materials science)","Supply chain","Business","Supply chain risk management","Risk management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-11","doi":"https://doi.org/10.47191/rajar/v11i4.04","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407630304","name":"Digital servitization business typologies in the manufacturing sector","source":"openalex","abstract":"Digital servitization business typologies in the manufacturing sectorManufacturing companies undergo a transformative journey in digital servitization, necessitating strategic, tactical, and operational shifts.The existing literature outlines the best practices on this process and examines challenges and opportunities through qualitative empirical evidence.We enrich the investigation through a quantitative explanatory research approach, employing a survey targeting manufacturing companies from multiple countries.Analyzing the responses using cluster analysis, we found three business typologies with specific behaviors related to digital servitization: digital experimentalists, strategic pioneers, and digital servitization novices.This research contributes valuable insights into the varied behaviors adopted by manufacturing firms in navigating the digital servitization landscape.","url":"https://doi.org/10.24867/ijiem-378","authors":["Veronica Arioli","Giuditta Pezzotta","David Romero","Tecnológico de Monterrey, Mexico City, Mexico","Federico Adrodegari","Roberto Sala","Mario Rapaccini","Nicola Saccani","Uglješa Marjanović","Slavko Rakić","Shaun West","Oliver Stoll","Stefan Wiesner","Marco Bertoni","Urko Lopez Odriozola","Fabiana Pirola","Paolo Gaiardelli"],"tags":["Manufacturing sector","Business","Process management","Economics","Labour economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-17","doi":"https://doi.org/10.24867/ijiem-378","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4403814065","name":"Research on the Possibilities of Expanding the Photovoltaic Installation in the Microgrid Structure of Kielce University of Technology Using Digital Twin Technology","source":"openalex","abstract":"Global challenges related to sustainable development are increasingly focusing on the use of digital twin technology as a universal tool for optimizing and monitoring renewable energy installations. This article discusses digital twin technology as a support for sustainable development based on the analysis of microgrid structures. Digital twins allow the creation of virtual models of physical systems. This capability facilitated the accurate replication of the microgrid model at Kielce University of Technology using ETAP (Electrical Transient Analyzer Program) software (version 22.5). The operational parameters of the microgrid structure were analyzed for the examined power range of the photovoltaic installation to determine the possibilities of expanding the existing installation. The impact of the photovoltaic installation’s power on the operational parameters of the microgrid structure was visualized, and final conclusions were formulated. Moreover, the integration of digital twin technology into renewable energy systems not only enhances operational efficiency but also plays a pivotal role in advancing sustainability objectives. Through real-time monitoring and predictive maintenance, digital twin technology facilitates the optimization of energy production and distribution, thereby reducing waste and contributing to the overall sustainability of energy systems. This technology enables the simulation of various scenarios, such as fluctuations in energy demand or the integration of new renewable sources, which can inform more sustainable decision-making processes. In the context of microgrids, digital twin technology ensures that energy production is closely aligned with consumption patterns, minimizing energy losses and enhancing grid resilience. Furthermore, digital twin technology supports the sustainable expansion of renewable installations by providing detailed insights into potential environmental impacts and the long-term sustainability of various energy configurations. As the demand for clean energy continues to grow, digital twin technology will be indispensable in achieving a balance between energy needs and environmental stewardship, ensuring that the expansion of renewable energy sources contributes positively to global sustainability objectives.","url":"https://doi.org/10.3390/su16219366","authors":["Artur Pawelec","Agnieszka Pawlak","Aleksandra Pyk","P. Kossakowski"],"tags":["Microgrid","Photovoltaic system","Engineering physics","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.3390/su16219366","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7166359374","name":"Digital Twin-Enhanced MCDM Framework for Circular Construction Dynamic Lifecycle Optimization of Hybrid Concrete Mix Design","source":"openalex","abstract":"This study introduces an integrated, intelligent framework aimed at optimising hybrid concrete mix design by employing Digital Twin (DT) modelling, dynamic decision-making processes, and real-time optimisation. The DT model is developed to continuously mirror and update the changing physical characteristics of hybrid concrete materials, thereby facilitating predictive simulations and lifecycle assessments. Data quality is ensured through pre-processing and feature extraction procedures, which involve cleaning, normalisation, and parameter selection focused on compressive strength, recyclability, embodied carbon, and degradation indicators. A retained carbon emission accounting model is utilised to dynamically monitor environmental impacts throughout the construction lifecycle, thereby enabling the formulation of low-carbon mix design strategies. The framework incorporates recycled aggregates, biochar, and industrial waste materials, aligning with sustainability objectives and circular economy principles. A dynamic multi-criteria decision-making (MCDM) process, based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), is employed to assess mix design alternatives. This process evaluates various criteria including cost factors, performance indicators, and environmental impacts, with adaptable weight adjustment mechanisms tailored to the specific phase of the project. Optimisation of mix designs is conducted using PSO, which dynamically integrates data derived from MCDM procedures and Decision Tables (DT). A real-time feedback and decision-making interface allows operators to actively oversee operations, enabling proactive adjustments and informed decisions. The integration of these components results in an adaptive and resilient system for sustainable hybrid concrete construction, balancing structural performance with environmentally conscious practices. Future investigations may expand the framework by incorporating AI-based predictive maintenance and adaptive learning algorithms for real-time modelling of material behaviour. Furthermore, extending the system’s scalability to accommodate large-scale infrastructure projects may enhance its applicability within smart construction environments.","url":"https://doi.org/10.31181/dmame8220251476","authors":["Hongling Jiang"],"tags":["Multiple-criteria decision analysis","Sustainability","Computer science","Process (computing)","Interface (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.31181/dmame8220251476","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4404406377","name":"Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling","source":"openalex","abstract":"Recent advancements in artificial intelligence (AI) numerical weather prediction (NWP) have transformed atmospheric modeling. AI NWP models outperform state-of-the-art conventional NWP models like the European Center for Medium Range Weather Forecasting’s (ECMWF) Integrated Forecasting System (IFS) on several global metrics while requiring orders of magnitude fewer computational resources. However, existing AI NWP models still face limitations due to training datasets and dynamic timestep choices, often leading to artifacts that affect performance. To begin to address these challenges, we introduce the Community Research Earth Digital Intelligence Twin (CREDIT) framework, developed at the NSF National Center for Atmospheric Research (NCAR). CREDIT is a flexible, scalable, foundational research platform for training and deploying AI NWP models, providing an end-to-end pipeline for data preprocessing, model training, and evaluation. The CREDIT framework supports both existing architectures and the development of new models. We showcase this flexibility with WXFormer, a novel multiscale vision transformer designed to predict atmospheric states while mitigating common AI NWP pitfalls through techniques like spectral normalization, intelligent padding, and multi-step training. Additionally, we train the FuXi architecture within the CREDIT framework for comparison. Our results demonstrate that both FuXi and WXFormer, trained on hybrid sigma-pressure level ERA5 sampled at 6-h intervals, generally achieve better performance than the IFS High-Resolution (IFS HRES) on 10-day forecasts, offering potential improvements in efficiency and accuracy. The modular nature of CREDIT fosters collaboration, enabling researchers to experiment with models, datasets, and training options.","url":"https://doi.org/10.1038/s41612-025-01125-6","authors":["John S. Schreck","Yingkai Sha","William E. Chapman","Dhamma Kimpara","Judith Berner","Seth McGinnis","Arnold Kazadi","Negin Sobhani","Ben Kirk","Charlie Becker","Gabrielle Gantos","David John Gagne II"],"tags":["Earth (classical element)","Physics","Mathematical physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-23","doi":"https://doi.org/10.1038/s41612-025-01125-6","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4401097639","name":"Greening AI? The new principle of sustainable digital products and services in the EU","source":"openalex","abstract":"The EU legislature has so far focused on the data-privacy and consumer-protection aspects of AI technologies. At the same time, AI is seen as a key driver of the green strategies of the EU. Yet, the EU regulatory and policy framework tends to neglect the environmental implications of AI. The massive employment of AI technologies results in a significant increase in energy consumption and affects the exploitation of rare natural resources dramatically. The Declaration on Digital Rights and Principles for the Digital Decade, the final chapter of which is dedicated to digital sustainability, is a first step in the attempt to plug this gap. The present article assesses the nature of the principles that have been proposed and traces their conceptual genealogy within the EU regulatory and policy framework. It identifies the emergence of a new principle of sustainable digital products and services, which is made explicit by the Declaration through a process of normative retrofitting.The article questions the ambitions behind this principle by reference to the oxymoron of the twin transitions, which pervades the current economic model of the EU and its sustainability targets, and to the emerging idea of digital sobriety.","url":"https://doi.org/10.54648/cola2024067","authors":["Alba Perez Victorio","Edoardo Celeste","Alberto Quintavalla"],"tags":["Greening","Business","Sustainable development","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-29","doi":"https://doi.org/10.54648/cola2024067","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7128396232","name":"Prognosis prediction of patients with disorders of consciousness based on digital twin brain models","source":"openalex","abstract":"BACKGROUND: The accurate prediction of prognosis in patients with disorders of consciousness (DOC) is a significant challenge in clinical practice. Some studies based on traditional electroencephalography (EEG) features have shown potential for DOC prognosis. However, the underlying mechanisms behind the recovery of patients with DOC still lack in-depth research. METHODS: In this study, we used mathematical tools to construct digital twin brain models (DTBM) for DOC patients with different outcomes. Then, we trained a support vector machine classifier using model parameters and modal controllability features to distinguish between DOC patients with different outcomes, and assessed the importance of these features. Finally, we used a support vector machine regressor to predict the Coma Recovery Scale-Revised (CRS-R) score at 6-month follow-up. RESULTS: The results showed that the prognosis model based on local model parameters and modal controllability features achieved better performance (AUC = 90.22%, F-score = 86.00%, SEN = 84.31%, SPE = 91.43%) than the prognosis models based on some traditional EEG features. Additionally, a positive prognosis is associated with lower levels of inhibitory gain, higher levels of excitatory gain and modal controllability, particularly in brain regions within the frontoparietal network. In 74% and 70% of UWS and MCS patients, the MAE between the predicted CRS-R score and the actual CRS-R score was less than 5. CONCLUSIONS: Overall, our study contributes to enriching the neuromarkers associated with DOC prognosis and further elucidates the neural mechanisms of consciousness recovery.","url":"https://doi.org/10.1186/s12984-026-01905-y","authors":["Shaoting Yan","Qing Li","Ruiqi Li","Lipeng Zhang","Rui Zhang","Mingming Chen","Meng Li","Runtao Li","Hui Zhang","Li Shi","Y. Hu"],"tags":["Persistent vegetative state","Consciousness","Psychology","Neurology","Consciousness Disorders"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-08","doi":"https://doi.org/10.1186/s12984-026-01905-y","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4404638889","name":"Digital technology in occupational health of manufacturing industries: a systematic literature review","source":"openalex","abstract":"In this study, we fill the gap of limited effort on systematic literature review into the field of digital technology for occupational health of manufacturing industries. Upon reviewing 53 publications selected by combined bibliometric and classical review methods, we present an integrated overview of the major research areas and hot topics and critically identify the prevalent digital technologies and application modes, the enablers and barriers to implementation, as well as the research agenda in the field of digital technologies in occupational health. The results show that, with the increasing popularity and penetration of digital items like wearable devices and sensors, human–robot collaboration, deep learning analytics, the identified enablers to digital technology implementation are: intelligent manufacturing, competitive condition, data-driven decision-making tool, considerations of welfare and health; and the barriers are: technological gap, privacy and data security, culture and acceptance, and cost consideration. Additionally, propositions on three aspects and six perspectives are recommended for future research in this field. Overall, this study provides insights through systematic analysis and synthesis, and offers the means to achieve Sustainable Development Goals (SDGs) by exploring efficient digital technologies to protect labor rights and improve occupational health in the manufacturing industries.","url":"https://doi.org/10.1007/s42452-024-06349-4","authors":["Luping Jiang","Jingdong Zhang","Yiik Diew Wong"],"tags":["Systematic review","Manufacturing","Business","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-22","doi":"https://doi.org/10.1007/s42452-024-06349-4","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4402480022","name":"Digital and Virtual Technologies for Work-Related Biomechanical Risk Assessment: A Scoping Review","source":"openalex","abstract":"The field of ergonomics has been significantly shaped by the advent of evolving technologies linked to new industrial paradigms, often referred to as Industry 4.0 (I4.0) and, more recently, Industry 5.0 (I5.0). Consequently, several studies have reviewed the integration of advanced technologies for improved ergonomics in different industry sectors. However, studies often evaluate specific technologies, such as extended reality (XR), wearables, artificial intelligence (AI), and collaborative robot (cobot), and their advantages and problems. In this sense, there is a lack of research exploring the state of the art of I4.0 and I5.0 virtual and digital technologies in evaluating work-related biomechanical risks. Addressing this research gap, this study presents a comprehensive review of 24 commercial tools and 10 academic studies focusing on work-related biomechanical risk assessment using digital and virtual technologies. The analysis reveals that AI and digital human modelling (DHM) are the most commonly utilised technologies in commercial tools, followed by motion capture (MoCap) and virtual reality (VR). Discrepancies were found between commercial tools and academic studies. However, the study acknowledges limitations, including potential biases in sample selection and search methodology. Future research directions include enhancing transparency in commercial tool validation processes, examining the broader impact of emerging technologies on ergonomics, and considering human-centred design principles in technology integration. These findings contribute to a deeper understanding of the evolving landscape of biomechanical risk assessment.","url":"https://doi.org/10.3390/safety10030079","authors":["Paulo C. Anacleto Filho","Ana Colim","Cristiano Jesus","Sérgio Ivan Lopes","́Paula Carneiro"],"tags":["Emerging technologies","Transparency (behavior)","Virtual reality","Work (physics)","Human factors and ergonomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-12","doi":"https://doi.org/10.3390/safety10030079","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4391709947","name":"Surrogate Modeling and Control of Medical Digital Twins","source":"openalex","abstract":"The vision of personalized medicine is to identify interventions that maintain or restore a person's health based on their individual biology. Medical digital twins, computational models that integrate a wide range of health-related data about a person and can be dynamically updated, are a key technology that can help guide medical decisions. Such medical digital twin models can be high-dimensional, multi-scale, and stochastic. To be practical for healthcare applications, they often need to be simplified into low-dimensional surrogate models that can be used for the optimal design of interventions. This paper introduces surrogate modeling algorithms for the purpose of optimal control applications. As a use case, we focus on agent-based models (ABMs), a common model type in biomedicine for which there are no readily available optimal control algorithms. By deriving surrogate models that are based on systems of ordinary differential equations, we show how optimal control methods can be employed to compute effective interventions, which can then be lifted back to a given ABM. The relevance of the methods introduced here extends beyond medical digital twins to other complex dynamical systems.","url":"https://doi.org/10.48550/arxiv.2402.05750","authors":["Luís L. Fonseca","Lucas Böttcher","Borna Mehrad","Reinhard Laubenbacher"],"tags":["Metamodeling","Control (management)","Computer science","Data science","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-08","doi":"https://doi.org/10.48550/arxiv.2402.05750","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7125214116","name":"Dynamic Modeling and Calibration of an Industrial Delayed Coking Drum Model for Digital Twin Applications","source":"openalex","abstract":"The increasing share of heavy and high-sulfur crude oils in refinery feed slates worldwide highlights the need for models of delayed coking units (DCUs) that are both physically meaningful and computationally efficient. In this study, we develop and calibrate a simplified yet dynamic one-dimensional model of an industrial coke drum intended for integration into digital twin frameworks. The model includes a three-phase representation of the drum contents, a temperature-dependent global kinetic scheme for vacuum residue cracking, and lumped descriptions of heat transfer and phase holdups. Only three physically interpretable parameters—the kinetic scaling factors for distillate and coke formation and an effective wall temperature—were calibrated using routinely measured plant data, namely the overhead vapor and drum head temperatures and the final coke bed height. The calibrated model reproduces the temporal evolution of the top head and overhead temperatures and the final bed height with mean relative errors of a few percent, while capturing the more complex bottom-head temperature dynamics qualitatively. Scenario simulations illustrate how the coking severity (represented here by the effective wall temperature) affects the coke yield, bed growth, and cycle duration. Overall, the results indicate that low-order dynamic models can provide a practical balance between physical fidelity and computational speed, making them suitable as mechanistic cores for digital twins and optimization tools in delayed coking operations.","url":"https://doi.org/10.3390/pr14020375","authors":["V V Bukhtoyarov","Ivan Nekrasov","Alexey A. Gorodov","Yadviga A. Tynchenko","О. А. Коленчуков","F A Buryukin"],"tags":["Drum","Coke","Delayed coker","Refinery","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-21","doi":"https://doi.org/10.3390/pr14020375","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4417282702","name":"IoT-Based Digital Twin for Freshwater Pollution Monitoring: A Use Case of River Derwent","source":"openalex","abstract":"This paper presents an IoT-enabled digital twin framework designed to enhance real-time monitoring and management of freshwater pollution. The framework integrates distributed IoT sensors to collect high-resolution data on dissolved oxygen (DO), temperature, and pollution dynamics, enabling the timely detection of ecological stressors. A four-layer architecture, comprising device, virtualisation, aggregation, and service layers, facilitates scalable data processing, visualisation, and stakeholder engagement. Key contributions include empirical validation of the IoT-enabled digital twin framework to monitor fresh water pollution, a modular system for anomaly detection and historical trend analysis, and actionable insights derived from spatially distributed edge nodes. The results highlight the inverse correlation between temperature and DO levels, disrupted during storm events by abrupt oxygen crashes (e.g. below 4 mg/l) and the critical role of edge node deployment in the river bed. The digital twin monitoring, recollection, and predictive modules collectively support proactive water quality management, identifying pollution gradients and seasonal patterns. Testing and evaluation on the Derwent river shows the system’s practical efficacy in reducing environmental risks and informing sustainable interventions.","url":"https://doi.org/10.1109/pimrc62392.2025.11274979","authors":["Muhammad Aslam Jarwar","Najam Ul Hasan","Charles Boisvert","Paul Wheway","Michael Faulks"],"tags":["Software deployment","Environmental science","Environmental resource management","Computer science","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-01","doi":"https://doi.org/10.1109/pimrc62392.2025.11274979","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4406481350","name":"Dynamic Dual‐Level Overcurrent Protection Scheme for Distributed Energy Resource Networks Using Digital Twins Technology","source":"openalex","abstract":"The integration of distributed generators (DGs), particularly renewable energy sources, into conventional distribution networks (DNs) presents significant protection challenges. This study introduces a novel digital twins‐based overcurrent relay (OCR) protection scheme with dynamic dual‐level characteristic curves for microgrids. By utilizing advanced technologies such as digital‐twin technology and hardware‐in‐the‐loop (HIL) testing, the proposed scheme enhances fault management and relay coordination. Key contributions of this work include the integration of advanced technologies and dynamic OCR settings, using digital‐twin technology and HIL testing to provide real‐time insights and robust validation under practical conditions. Additionally, the research thoroughly examines protection strategies for both grid‐connected and islanded modes, ensuring reliable operation during faults or grid failures. The study’s findings show substantial improvements over traditional OCR methods. The traditional OCR recorded a total tripping time of 14.87 s, while the dual‐level OCR reduced it to 8.97 s. The results highlight the proposed scheme’s enhanced sensitivity, faster fault isolation capability, and overall superior performance, providing a robust and reliable protection scheme for modern power distribution systems. Further testing results for the digital‐twin OCR, comparing both the digital simulation twin relay and the physical twin relay for the traditional single‐level OCR scheme and the proposed dual‐level scheme, provide valuable insights into the performance and reliability of these protection strategies. The close alignment between the simulation and physical results highlights the robustness and precision of the dual‐level scheme.","url":"https://doi.org/10.1155/etep/9428867","authors":["Feras Alasali","Naser El‐Naily","Haytham Y. Mustafa","Hassen Loukil","Saad M. Saad","Abdelaziz Salah Saidi","William Holderbaum"],"tags":["Overcurrent","Scheme (mathematics)","Dual (grammatical number)","Computer science","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1155/etep/9428867","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4405788953","name":"Deconstructing Digital Transformation: A Multidimensional Analysis of Digital Literacy’s Role in Shaping Human Capital and Driving Organizational Success","source":"openalex","abstract":"Abstract This study presents a comprehensive investigation into the multifaceted relationship between digital literacy, human capital development, and organizational performance in the context of digital transformation. Through a rigorous mixed-methodology approach combining quantitative surveys and real-time digital usage tracking, we analyzed data from 250 employees across 23 organizations spanning multiple sectors (technology 26.5%, finance 16.7%, healthcare 13.6%). The research employs structural equation modeling and demonstrates robust interrelationships between variables (correlations ranging r=0.689 to 0.817), with digital literacy and employee commitment exhibiting the strongest correlation (r=0.817). Statistical analysis reveals that human capital significantly mediates the relationship between employee factors and organizational performance, explaining 72.3% of performance variance (R²=0.723). All constructs demonstrated strong reliability (Cronbach’s α: 0.739-0.787) and convergent validity (AVE>0.5). Multiple regression analysis identified attitude (β=0.218) and human capital (β=0.184) as primary performance predictors, while frugal innovation showed significant influence (β=0.172, p<0.001). The study found that 69.1% of participants utilize digital tools multiple times daily, with 44.4% at intermediate digital literacy levels. Path analysis confirmed significant positive relationships (p<0.001) across all variables, with attitude demonstrating the highest direct effect on organizational performance (0.525). The research extends human capital theory by empirically validating digital competencies’ role in organizational success and identifies a critical digital literacy divide impacting performance outcomes. In work environments (48.1% hybrid, 42% on-site, 9.9% remote), findings demonstrate the universal importance of digital competencies across different operational models. These results have substantial implications for management practices, organizational strategy, and human resource development in the digital era, particularly in fostering comprehensive digital skill development programs and addressing organizational digital divides.","url":"https://doi.org/10.2478/eoik-2025-0018","authors":["G. L. Meena","K. Santhanalakshmi"],"tags":["Human capital","Transformation (genetics)","Digital transformation","Literacy","Digital literacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-25","doi":"https://doi.org/10.2478/eoik-2025-0018","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401381397","name":"Digital planetary health needs ethical guidance","source":"openalex","abstract":"Digitalisation, the transfer of tasks and dimensions of human life to digital platforms, is causing changes in planetary health. Digital planetary health, as one could call it, has the potential to facilitate the development of healthy, robust, and sustainable societies and regenerative ecosystems.1Tucker J Disruptive possibilities: AI and planetary health.in: Thörnkvist M Hafner R Drury R If only the lake could talk: futures of AI for sustainability. Media Evolution, Malmö2022: 73-79Google Scholar Artificial intelligence can track emissions and identify maintenance needs in health-care facilities, leading to a reduced carbon footprint.2Das KP J C A survey on artificial intelligence for reducing the climate footprint in healthcare.Energy Nexus. 2023; 9100167Crossref Scopus (19) Google Scholar Artificial intelligence can be instrumental in advancing our understanding of energy resources and climate change; it allows us to analyse the complex factors contributing to climate shifts and estimate energy demands for consumers and businesses. Digital technology has already made substantial strides in reducing the impact of natural disasters.3Creutzig F Acemoglu D Bai X et al.Digitalization and the anthropocene.Annu Rev Environ Resour. 2022; 47: 479-509Crossref Scopus (30) Google Scholar By applying big data approaches to urban planning, climate change mitigation strategies (eg, low-carbon urban planning) can be expedited. Geolocation data can be used to track the effect of natural disasters. Artificial neural networks are proving to be valuable tools in environmental pollution control.4Ye Z Yang J Zhong N Tu X Jia J Wang J Tackling environmental challenges in pollution controls using artificial intelligence: a review.Sci Total Environ. 2020; 699134279Crossref PubMed Scopus (62) Google Scholar These networks offer efficient and attractive solutions for tackling complex, uncertain, interactive, and dynamic environmental problems. Multilayer perceptrons, radial basis neural networks, and support vector regression can help decision makers protect and enhance vegetation diversity in mountainous areas that are subject to human pressures.5Jahani A Saffariha M Nezhad ZH Predicting the anthropogenic impacts on vegetation diversity of protected rangelands: an application of artificial intelligence.Biodivers Conserv. 2024; 33: 1051-1078Crossref Scopus (1) Google Scholar Several international agencies are taking the lead in digital planetary health.6Adamczyk CL United Nations Environment Programme, initiatives for communicating environmental big data: considering DEAL and WESR.Environ Commun. 2023; 11: 1-8Google Scholar The UN Environment Programme's (UNEP) World Environment Situation Room provides a federated data system of the best accessible sets of environmental big data to support decision making, policy, and action at the global, regional, national, and local levels for sustainable development and national planning needs. The Global Environment Monitoring System for Air, a remarkable digital tool by UNEP and IQAir, monitors air quality in 5000 cities worldwide.7de Camargo ET Spanhol FA Slongo JS et al.Low-cost water quality sensors for IoT: a systematic review.Sensors. 2023; 234424Crossref Scopus (22) Google Scholar Real-time data are displayed on digital billboards to alert people to air quality risks. UNEP's Integrated Monitoring and Environmental Information System gathers data to reduce methane emissions. The UNEP and the Climate and Clean Air Coalition used five global composition climate models to evaluate changes in the Earth's climate system and surface ozone concentrations due to reductions in methane emissions. This project, known as the Global Methane Assessment, suggests that a 45% reduction in human-caused methane over the next decade could prevent premature deaths, asthma-related hospital visits, and crop losses globally.8UN Environment Programme—Climate and Clean Air CoalitionGlobal methane assessment: benefits and costs of ","url":"https://doi.org/10.1016/s2542-5196(24)00164-5","authors":["Eric C. Ip"],"tags":["Engineering ethics","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-01","doi":"https://doi.org/10.1016/s2542-5196(24)00164-5","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4402504604","name":"Advancing forest biodiversity conservation with the EL-BIOS digital twin: an integration of LiDAR and multispectral earth observation data","source":"openalex","abstract":"The growing threat to biodiversity and ecosystem degradation necessitates innovative methods for monitoring and managing forested areas. This paper introduces the LIFE EL-BIOS project, a pioneering initiative to develop a Digital Twin for forest biodiversity analysis using terrestrial and airborne Light Detection and Ranging (LiDAR) technologies. The project utilizes advanced equipment, including the DJI Matrice 300 UAV with airborne LiDAR, DJI Mavic 3E, Quantum Systems Trinity F90+ with RGB and multispectral sensors, a GeoSLAM ZEB REVO terrestrial SLAM device, and a Leica BLK360 terrestrial laser scanner. Research spans over 40 forest plots, each 2000 square meters, in Greece's Kotychi-Strofilia Wetlands and Northern Pindos National Parks. The methodology integrates and georeferences point clouds from aerial and terrestrial sources to create unified point clouds for each area. Advanced software tools, such as 3DFIN and 3DFOREST, are then used to extract precise biodiversity-relevant parameters. This innovative data extraction method is compared with traditional in-situ measurements to evaluate the potential and limitations of the Digital Twin approach. A preliminary assessment focused on the time- and cost-effectiveness, accuracy, and robustness of this multiscale Earth Observation (EO) based mapping framework. Initial results suggest that the combined use of terrestrial and airborne LiDAR, multispectral data, and advanced analysis pipelines enhances the accuracy and speed of biodiversity measurements. Moreover, it allows for the extraction of additional information critical for developing biodiversity indicators. This study highlights the potential of multiscale and multisource EO data in creating digital twins of ecologically sensitive areas, offering a revolutionary approach to environmental conservation.","url":"https://doi.org/10.1117/12.3037300","authors":["Ionas A. Karolos","Konstantinos Bellos","Vassileios Alexandridisale","Irene Chrysafis","Harris Georgiadis","Christos Pikridas","Vasillios Tsioukas","Πέτρος Πατιάς","Giorgos Mallinis"],"tags":["Multispectral image","Remote sensing","Lidar","Environmental science","Biodiversity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-13","doi":"https://doi.org/10.1117/12.3037300","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4403147433","name":"Exploiting the Efficient Data Modeling in Network Digital Twin to Empower Edge-Cloud Continuum","source":"openalex","abstract":"Specifications for Network Digital Twin (NDT) from Standardization Development Organizations (SDOs), such as the Internet Engineering Task Force (IETF), and academic contributions focus primarily on benefiting network operators. However, they often overlook the needs of stakeholders in the Edge-Cloud Continuum (ECC), such as Service Providers, customers, and Platform or Infrastructure Providers. In ECC, resource heterogeneity, agile software component integration, and quality of service requirements are challenges. To address these challenges, continuous and granular monitoring of software and physical resources is required. In this paper, we present the design and ongoing implementation of a data model. It captures and characterizes the physical and software properties, i.e., Key Performance Indicators (KPIs), of Kubernetes-managed components in the ECC. Collected data is structured in NGSI-LD-compliant format and managed through interoperable context brokers for authenticating the requests of various stakeholder applications. We also demonstrate sample data curation from a lab-configured platform, its integration into the context broker, and how it responds to the queries concerning a particular component information, thereby representing a partial implementation of proposed data model to render the views for particular stakeholders.","url":"https://doi.org/10.23919/cnsm62983.2024.10814387","authors":["Syed Mohsan Raza","Roberto Minerva","Noël Crespi","Maira Alvi","Manoj Herath","Hrishikesh Dutta"],"tags":["Cloud computing","Computer science","Enhanced Data Rates for GSM Evolution","Data modeling","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.23919/cnsm62983.2024.10814387","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4416226677","name":"Digital Regulatory Governance: The Role of RegTech and SupTech in Transforming Financial Oversight and Administrative Capacity","source":"openalex","abstract":"Rapid digitalization is transforming how public and private institutions manage regulation, compliance, and supervision. This paper explores the rise of Regulatory Technology (RegTech) and Supervisory Technology (SupTech) as instruments of digital regulatory governance and examines their implications for administrative efficiency, defined as the optimization of regulatory and supervisory processes through automation and data-driven coordination, institutional capacity, and policy innovation. Using a systematic literature review of 59 peer-reviewed studies published between 2017 and 2025, the study identifies how RegTech enhances compliance management and risk control in financial institutions, while SupTech enables regulators to improve supervisory agility, transparency, and real-time oversight. The findings show that these technologies create significant administrative value by streamlining reporting, enhancing accountability, and strengthening governance networks across the public–private interface. However, adoption is constrained by cybersecurity vulnerabilities, algorithmic opacity, regulatory fragmentation, and organizational resistance. To address these issues, the study proposes an integrated governance framework that maps opportunities and barriers across compliance, risk, technology, and institutional coordination. By synthesizing fragmented evidence, this research contributes to the field of administrative sciences by positioning RegTech and SupTech not only as technical innovations but as transformative tools of digital public administration and regulatory modernization.","url":"https://doi.org/10.3390/ijfs13040217","authors":["Niloufar Bagherifam","sajjad naghdi","Vahid Ahmadian","Alireza Fazlzadeh","Milad Baghalzadeh Shishehgarkhaneh"],"tags":["Business","Corporate governance","Transformative learning","Accounting","Compliance (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-14","doi":"https://doi.org/10.3390/ijfs13040217","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412218323","name":"Digital Building Permit Conference 2024 - Proceedings","source":"openalex","abstract":"The document is the collections of abstracts and extended abstracts being the proceedings of the DBP conference 2024, co-organised by the EUnet4DBP and several other organisations in Barcelona, 18th-19th April 2024 https://eu4dbp.net/dbpc24/ In the proceedings, you find the presentations slides presented at the conference as links to the contributions' titles. This is the number 0 of the EUnet4DBP publication series.","url":"https://doi.org/10.5281/zenodo.12760551","authors":["Francesca Noardo","Judith Fauth"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-01","doi":"https://doi.org/10.5281/zenodo.12760551","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4410699681","name":"Digital twin-driven method for determining wind force coefficients of a bridge deck section","source":"openalex","abstract":"Wind force coefficients are important parameters for aerostatic and aerodynamic analyses in wind-resistant design of a long-span bridge. Wind force coefficients of long-span bridges are currently obtained through wind tunnel tests or computational fluid dynamics (CFD) simulations. Given that limitations and uncertainties exist in both methods, this study proposes a digital twin-driven method for providing more accurate predictions of wind force coefficients of a streamlined bridge deck. The sectional model of the bridge deck tested in a wind tunnel is taken as a physical model, while its virtual model is established using CFD simulation. The test results collected from the physical model are fused with the virtual model using polynomial regression algorithms to update the virtual model into a digital twin. The developed digital twin is employed to conduct an in-depth analysis of blockage effects and provide more accurate wind force coefficients. A global digital twin is then developed based on individual digital twins and Kriging interpolation to provide continuous wind force coefficients within a range of wind attack angles from -12° to 12°. This global digital twin is finally applied for the aerostatic analyses of the bridge. The results show that the digital twin-driven method can provide more accurate prediction than wind tunnel tests or CFD simulations.","url":"https://doi.org/10.1080/19942060.2025.2501389","authors":["Hao-Yang Li","You Lin Xu","Haili Liao","Lin Huang","Qi Wang"],"tags":["Bridge deck","Deck","Bridge (graph theory)","Section (typography)","Structural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-22","doi":"https://doi.org/10.1080/19942060.2025.2501389","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414359196","name":"Leveraging FMMEA for Digital Twin Development: A Case Study on Intelligent Completion in Oil and Gas","source":"openalex","abstract":"The implementation of Digital Twins (DTs) represents a significant advancement for the Oil and Gas (O&G) industry. A DT virtually replicates a physical asset, enabling the monitoring, diagnosis, prediction, and optimization of its outcomes. Since failures are undesirable outcomes, investigations into potential failure modes are often integrated into the development. Traditional methods, such as Failure Modes and Effects Analysis (FMEA) and Failure Mode, Effects, and Criticality Analysis (FMECA), are widely used to identify, assess, and mitigate risks. However, there is still a lack of specific guidelines for studying potential failures in complex systems. This article introduces a framework for Failure Modes, Mechanisms, and Effects Analysis (FMMEA) as a tool for identifying and assessing failures in early DT development. Exploring failure mechanisms is highlighted as essential for effective prediction and management We also propose adjustments to FMMEA for complex, predictable systems, such as using a DPR (Detectable Priority Risk) instead of RPN (Risk Priority Number) for prioritizing risks. A comprehensive case illustrates the framework's application in developing a DT for an intelligent completion system in a major O&G company. The approach enables mechanism-oriented failure analysis and more detailed prognostic health management, providing greater transparency in the failure identification process.","url":"https://doi.org/10.3390/s25185846","authors":["Nelson Gutemberg Rocha da Silva","Flavia Albuquerque Pontes","Mariana Santos da Silva","Breno Cagide Fialho","Jamile Eleutério Delesposte","Dalton Garcia Borges de Souza","Luiz Antônio de Oliveira Chaves","Rodolfo Cardoso"],"tags":["Risk analysis (engineering)","Failure mode, effects, and criticality analysis","Reliability engineering","Failure mode and effects analysis","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-19","doi":"https://doi.org/10.3390/s25185846","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4390910797","name":"In Vitro Evaluation of Accuracy and Reliability of Tooth Shade Selection Using Different Digital Instruments","source":"openalex","abstract":"Introduction Managing tooth shade is a significant challenge in aesthetic dentistry, especially for anterior restorations. Accurate shade assessment, combined with tailored treatment strategies and effective communication, is crucial. To improve the precision and reliability of aesthetic dental treatments, new shade-matching technologies have emerged. Current clinical methods for determining tooth shade utilize both visual assessments and instrumental techniques. The current study aimed to assess and compare the reliability and accuracy of four digital methods of tooth shade matching. Materials and methods This study utilized a 3D-printed resin upper arch model with tooth preparation done on tooth 11. An intraoral scanner was employed to scan and design the tooth, followed by the fabrication of 30 zirconia crowns using computer-aided design and computer-assisted manufacturing (CAD/CAM). The assessment of shade matching involved four digital photometric methodologies (group 1: twin flash + digital single-lens reflex (DSLR) camera (DT), group 2: ring flash + DSLR camera (DR), group 3: smartphone camera (SMART), group 4: intraoral scanner (IOS)) with Commission Internationale de l'Eclairage (CIEL*a*b*) values determined through Adobe Photoshop transformation. Accuracy (ΔE) was calculated and a specific shade using Vitablocs Mark II 3D-Master served as the standard. CIEL*a*b* data (where L = lightness, a and b = chromaticity coordinates) from four cohorts were analyzed in SPSS 26.0 for reliability, with intraclass correlation. The Kruskal-Wallis test and Spearman's correlation assessed reliability, while a one-sample t-test assessed accuracy, comparing values to clinical thresholds (p<0.05). Results The intraclass correlation revealed noteworthy variations in the L*, a*, and b* values, spanning from 0.730 to 0.994, 0.885 to 0.992, and 0.881 to 0.997, respectively. Intraoral scanners demonstrated high accuracy (ΔE = 5.8), while the SMART method showed the lowest precision (ΔE = 12.09). Twin flash with DSLR (TF+DSLR) and ring flash with DSLR (RF+DSLR) displayed comparable precision, with ΔE values of 10.90 and 10.97 respectively. Conclusion The smartphone exhibited the least precision, displaying notable discrepancies in all CIEL*a*b* metrics when compared to the manufacturer-specified shades. Conversely, the intraoral scanner demonstrated higher accuracy and reliability compared to the other groups, with no discernible variation in any of the CIEL*a*b* values from the manufacturer's standard.","url":"https://doi.org/10.7759/cureus.52363","authors":["Maaz Vohra","Amrutha Shenoy"],"tags":["Intraclass correlation","Reliability (semiconductor)","Computer science","Crown (dentistry)","Orthodontics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-16","doi":"https://doi.org/10.7759/cureus.52363","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7117662435","name":"Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems","source":"openalex","abstract":"ABSTRACT Industrial cyber‐physical systems (ICPS) operate under tight dynamics and strict safety constraints, where anomalous behaviour unfolds over time and requires operator‐actionable context. Although recent learning‐based detectors have improved point‐wise accuracy, deployment realism remains limited: evaluations often ignore temporal leakage, underreport event‐level performance and provide little support for situational awareness in the control room. This work introduces a digital‐twin‐enabled, time‐aware anomaly detection framework that couples a temporal LSTM–DNN classifier with data‐driven thresholding and an operator‐facing twin for live triage. The digital twin (web‐based React frontend with a Flask backend) mirrors plant state in real time to visualise alerts, hypothesise counterfactuals and accelerate response. Our aims are threefold: (i) detect attacks at the event level with low delay; (ii) surface explanations and sensor‐level rules that are actionable; and (iii) evaluate under realistic temporal protocols and imbalance. Methodologically, we combine sequence modelling with per‐sensor operating ranges learnt from unsupervised Isolation‐Forest analysis to capture abrupt shifts and multivariate inconsistencies; the twin surfaces both sequence scores and rule violations for human verification. On the SWaT benchmark, the system detected 31/41 attack events overall, including 22/23 SSSP (single‐stage single‐point), 3/6 SSMP (single‐stage multi‐point), 4/4 MSSP (multi‐stage single‐point) and 2/3 MSMP (multi‐stage multi‐point), demonstrating broad coverage across attack taxonomies. At the instance level, the classifier attained 94.6% accuracy, 99.8% precision, 94.8% recall and a 97.2% F1‐score on the held‐out test set, highlighting strong detection capability under class imbalance (specificity 18.4%). In sum, the contributions are (1) a digital‐twin‐enabled, time‐aware detection pipeline that integrates temporal learning with data‐driven operating envelopes; (2) event‐level evaluation and reporting aligned with operational practice; and (3) quantitative evidence that coupling sequence models with interpretable rules yields high precision and broad attack coverage while exposing residual specificity gaps that guide future cost‐sensitive calibration and threshold optimisation. Overall, DC‐GLNet (i) jointly exploits spectrogram‐level (SFEB) and ENF‐specific (ENFB) representations via a KAN classifier, (ii) incorporates robust harmonic selection and enhancement (RFA/HRFA) tailored to short, noisy clips and (iii) achieves > 90% accuracy on 5‐min clips, outperforming SVM, XGBoost and a NAS baseline by more than 7 percentage points on both SP‐CUP2016 and China‐Online‐Data benchmarks.","url":"https://doi.org/10.1049/dgt2.70016","authors":["Wulfran Fendzi Mbasso","Ambe Harrison","Idriss Dagal","Pradeep Jangir","Zhe Liu","Aseel Smerat"],"tags":["Computer science","Anomaly detection","Artificial intelligence","Intrusion detection system","Object detection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.1049/dgt2.70016","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4391881102","name":"Environmental financing: does digital economy matter?","source":"openalex","abstract":"Sustainable development and ecological restoration are a common goal pursued by countries around the world to mitigate the collision between economic growth and the environment. Digital economy has been rather instrumental in settling this type of conflict. The study is intended to identify the relationship between digital financing and environmental financing by assessing the specificities of their temporal and industry-specific dynamics, as well as to determine the side effects that the digital economy has in terms of current environmental investments and costs. The special attention is paid to the effect of the digital economy on both total environmental financing and its components, namely, environmental investment and current environmental protection costs. The authors come up with two indicators to evaluate the impact of the digital economy, these are digital financing (direct impact) and digital capital (indirect impact). To calculate these indicators, the authors’ own method is developed. The impact of the digital economy on environmental financing was tested using the least squares method with clustering of annual standard deviation and individual fixed effects. The research data were retrieved from the Federal State Statistics Service (Rosstat) of the Russian Federation for 2012–2022. Our findings show that digital financing exerts a significant positive effect on environmental financing, which indicates that two dynamic processes in the economy—digital transformation and introduction of advanced environmental digital technologies—are synchronized. The authors prove that digital investments stimulate a comparable increase in environmental investment due to the effects created by digital technologies penetrating into environmental protection technologies. We demonstrate that the level of digitalization of the population, companies and the state assessed through the digital capital index has a positive effect on environmental financing. The results of the study are of use in the sphere of public policy.","url":"https://doi.org/10.3389/fenvs.2023.1268286","authors":["В. В. Акбердина","Yu. G. Lavrikova","Maxim Vlasov"],"tags":["Business","Economics","Environmental science","Natural resource economics","Finance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.3389/fenvs.2023.1268286","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409449331","name":"Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling","source":"openalex","abstract":"Digital twins in healthcare offer an innovative approach to precision diagnosis, prognosis, and treatment. SynTwin, a novel computational methodology to generate digital twins using synthetic data and network science, has previously shown promise for improving prediction of breast cancer mortality. In this study, we validate SynTwin using population-level data for different cancer types from the Surveillance, Epidemiology, and End Results (SEER) program from the National Cancer Institute (USA). We assess its predictive accuracy across cancer types of varying sample sizes (n = 1,000 to 30,000 records), mortality rates (35% to 60%), and study designs, revealing insights into the strengths and limitations of digital twins derived from synthetic data in mortality prediction. We also evaluate the effect of sample size (n = 1,000 to 70,000 records) on predictive accuracy for selected cancers (non-Hodgkin lymphoma, bladder, and colorectal cancers). Our results indicate that for larger datasets (n > 10,000) including digital twins in the nearest network neighbor prediction model significantly improves the performance compared to using real patients alone. Specifically, AUROCs ranged from 0.828 to 0.884 for cancers such as cervix uteri and ovarian cancer with digital twins, compared to 0.720 to 0.858 when using real patient data. Similarly, among the selected three cancers, AUROCs using digital twins exceeded AUROCs using real patients alone by at least 0.06 with narrowing variance in performance as the sample size increased. These results highlight the benefit of network-based digital twins, while emphasizing the importance of considering effective sample size when developing predictive models like SynTwin.","url":"https://doi.org/10.1186/s13040-025-00446-9","authors":["Xi Li","Jui-Hsuan Chang","Mythreye Venkatesan","Zhiping Paul Wang","Jason H. Moore"],"tags":["Outcome (game theory)","Computer science","Graph","Sample size determination","Sample (material)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-15","doi":"https://doi.org/10.1186/s13040-025-00446-9","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7140197458","name":"Creation of digital twins in energy companies and their impact on global competitiveness","source":"openalex","abstract":"This article explores the role of digital twins in the long-term development of energy companies and presents the author’s perspective on updating approaches to technological modernization under conditions of digital transformation. Particular attention is paid to the role of digital twins in structuring and managing production processes, as well as to their capacity to reshape traditional operational models. The study examines the key features, practical capabilities, and existing limitations of using dynamic digital representations of energy systems, including their potential impact on companies’ financial performance.Research indicates that the adoption of digital twin technologies is influenced by several interconnected factors. Among them are the growing complexity of energy infrastructure, increasing expectations for reliability and continuous supply, and the push toward sustainability. Against this backdrop, an updated approach to technical management is emerging, where virtual models are gradually woven into decision-making, monitoring, and optimization processes. The theoretical analysis of organizational, economic, and environmental benefits positions digital twins as a promising tool for strengthening the competitiveness and sustainability of energy companies in a context of ongoing transformation.","url":"https://doi.org/10.29030/2309-2076-2026-19-1-236-246","authors":["A. A. Samcheleeva","A. A. Stepanov"],"tags":["Context (archaeology)","Sustainability","Industrial organization","Business","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-23","doi":"https://doi.org/10.29030/2309-2076-2026-19-1-236-246","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7127109370","name":"A BIM-Based Digital Twin Framework for Urban Roads: Integrating MMS and Municipal Geospatial Data for AI-Ready Urban Infrastructure Management","source":"openalex","abstract":"Digital twins (DTs) are increasingly adopted to enhance the monitoring, management, and planning of urban infrastructure. While DT development for buildings is well established, applications to urban road networks remain limited, particularly in integrating heterogeneous geospatial datasets into semantically rich, multi-scale representations. This study presents a methodology for developing a BIM-based DT of urban roads by integrating geospatial data from Mobile Mapping System (MMS) surveys with semantic information from municipal geodatabases. The approach follows a multi-modal (point clouds, imagery, vector data), multi-scale and multi-level framework, where 'multi-level' refers to modeling at different scopes-from a city-wide level, offering a generalized representation of the entire road network, to asset-level detail, capturing parametric BIM elements for individual road segments or specific components such as road sign and road marker, lamp posts and traffic light. MMS-derived LiDAR point clouds allow accurate 3D reconstruction of road surfaces, curbs, and ancillary infrastructure, while municipal geodatabases enrich the model with thematic layers including pavement condition, road classification, and street furniture. The resulting DT framework supports multi-scale visualization, asset management, and predictive maintenance. By combining geometric precision with semantic richness, the proposed methodology delivers an interoperable and scalable framework for sustainable urban road management, providing a foundation for AI-ready applications such as automated defect detection, traffic simulation, and predictive maintenance planning. The resulting DT achieved a geometric accuracy of ±3 cm and integrated more than 45 km of urban road network, enabling multi-scale analyses and AI-ready data fusion.","url":"https://doi.org/10.3390/s26030947","authors":["Vittorio Scolamiero","Piero Boccardo"],"tags":["Geospatial analysis","Computer science","Digital mapping","CityGML","Geographic information system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"https://doi.org/10.3390/s26030947","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4411545614","name":"Wheels turning: CHO cell modeling moves into a digital biomanufacturing era","source":"openalex","abstract":"Recent advancements in biologics production using CHO cells have been partly driven by improved understanding of how variations in the cell culture environment influence cellular metabolism, productivity, and the attributes of the final product. In-silico models serve a valuable role in mapping the effects of various process parameters and media changes on cellular response. Advances in technologies such as data-driven analysis, self-learning systems, and digital twins are reinforcing progress toward smart manufacturing, enabling the real-time control of production processes. Furthermore, kinetic, and constraint-based mechanistic modeling, combined with omics approaches, are becoming increasingly incorporated into the bioprocess development and manufacturing innovation ecosystem. In this review, we cover CHO central metabolism as a foundation for mechanistic modeling and extend the discussion to include various mechanistic modeling approaches, highlighting the incorporation of glycosylation and secretory pathways. Multi-omics approaches provide a deeper understanding of intracellular processes and the dynamic interactions between product quality and pathways. In parallel, to achieve the Industry 4.0 vision of digitalization and machine learning techniques are finding wider adoption in biopharmaceutical development. We discuss the potential applications of these techniques for predictions, inference, optimization, and control. The role of big data analytics and artificial intelligence methods in reinforcing progress towards smart manufacturing and enabling real-time control of production processes is discussed. Finally, we summarize the application of machine learning and hybrid models to CHO bioprocesses, aiming to develop and manufacture drugs more efficiently and at a lower cost for patients.","url":"https://doi.org/10.1016/j.csbj.2025.06.035","authors":["Sandeep A. Ranpura","Vishwanathgouda Maralingannavar","Alexandra-Gabriela Gheorghe","Edward Ma","James Morrissey","Michael J. Betenbaugh","Deniz Demirhan"],"tags":["Biomanufacturing","Cell biology","Computer science","Computational biology","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.csbj.2025.06.035","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4413352791","name":"Digital Twins and Big Data in the Metaverse: Addressing Privacy, Scalability, and Interoperability with AI and Blockchain","source":"openalex","abstract":"This paper explores the integration of digital twin technologies and big data in the metaverse to improve urban traffic management. It highlights the importance of technology in mirroring and augmenting our physical and virtual worlds. This study examines how big data and digital twin technologies merge in the metaverse to improve traffic management. Our work applies artificial intelligence (AI) and blockchain technologies to address concerns about privacy, scalability, and interoperability. In a literature review and case study on traffic management, we outline how big data analytics and digital twins can increase operational and decision-making efficiency. This study aims to elucidate the transformative potential of such technologies for urban transport and postulates future areas of social, regulatory, and environmental research gaps.","url":"https://doi.org/10.3390/ijgi14080318","authors":["Ruoxuan Li","Hemn Barzan Abdalla","Mehdi Gheisari","Hamidreza Rabiei‐Dastjerdi"],"tags":["Blockchain","Interoperability","Scalability","Computer science","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-20","doi":"https://doi.org/10.3390/ijgi14080318","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411260577","name":"In silico estimation of thrombogenic risk after left atrial appendage excision: Towards digital twins in atrial fibrillation","source":"openalex","abstract":"BACKGROUND & AIM: The left atrial appendage (LAA) is a highly variable, pouch-like structure in the left atrium prone to thrombus formation, especially in atrial fibrillation (AF) patients. In silico cardiac models can help characterize the LAA's complex morphology and hemodynamics, aiding in identifying pro-thrombotic areas. This study assessed atrial hemodynamics and thrombus formation risk after LAA excision and compared with optimal synthetic excisions and occluder placements in high thrombogenic-risk cases. METHODS: We included 33 patients from the MARK-AF study who had persistent AF and underwent excision of the LAA. We quantified the morphological characteristics of the post-excision LAA remnant. With patient-specific atrial geometries and boundary conditions, in silico blood flow simulations were performed. For each patient, we quantified multiple in silico indices to characterize blood flow patterns and identify thrombogenic regions. We performed an in silico comparison of different LAA treatment approaches. RESULTS: In our cohort, 25/33 (76 %) of patients had a post-excision, protruding LAA remnant (LAA depth >10 mm). In silico simulations indicated that patients with a protruding remnant more frequently showed unfavorable values for in silico indices associated with high thrombogenic risk at the excision site. However, a prominent LAA remnant was not the only factor associated with a high thrombogenic risk. An optimal excision or optimal occluder device placement reduced thrombus formation risk. CONCLUSION: The combination of LAA remnant morphology and hemodynamics contributed to thrombus formation risk. Advanced in silico simulations uniquely enabled the comparison of different therapies, until now only centered on device occluders, contributing to digital twins in AF.","url":"https://doi.org/10.1016/j.compbiomed.2025.110483","authors":["Carlos Albors","Nerea Arrarte Terreros","Marta Saiz-Vivó","Pietro Zappala","M M Terpstra","Andy L. Olivares","R. Nils Planken","Wim Jan van Boven","Antoine H.G. Driessen","Joris R. de Groot","Óscar Cámara"],"tags":["Atrial fibrillation","Appendage","Cardiology","Internal medicine","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-13","doi":"https://doi.org/10.1016/j.compbiomed.2025.110483","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4414317354","name":"Predicting Building Height from Footprint and Urban Planning information for Digital Twin Generation","source":"openalex","abstract":"Abstract. Accurate building height data is essential for constructing realistic and analytically useful 3D city models within digital twin systems. However, such data are often incomplete, particularly in small to medium-sized cities. This study presents a machine learning-based approach to predict building heights by integrating multi-source urban data, including building footprints, zoning regulations, and roof-type classifications. To enhance prediction accuracy, we clustered zoning types by height profiles and trained models separately for each group. We evaluated three regression algorithms—Random Forest (RFR), Support Vector Regression (SVR), and XGBoost—using stratified sampling and cross-validation. Among them, RFR achieved the highest overall accuracy, particularly in homogeneous zoning areas (R2 = 0.67), while SVR showed lower generalizability. The proposed model has been implemented in an open-source “3D City Model Generation Simulator,” enabling automated LOD3-level urban model generation using only remote sensing and street-view inputs. This work contributes a scalable and cost-effective solution for urban digital twin applications in data-sparse environments.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-w15-2025-107-2025","authors":["Jin Ma","Chenbo Zhao","Yoshiki Ogawa","Yoshihide Sekimoto"],"tags":["Zoning","Footprint","Twin cities","Urban planning","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-18","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-w15-2025-107-2025","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4410308092","name":"AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies","source":"openalex","abstract":"The primary purpose of video surveillance is to monitor public indoor areas or the boundaries of secure facilities to safeguard them against theft, unauthorized access, fire, and various other potential threats. Security cameras, equipped with integrated video surveillance systems, are strategically placed throughout critical locations on the premises, allowing security personnel to observe all areas for specific behaviors that may signal an emergency or a situation requiring intervention. A significant challenge arises from the fact that individuals cannot maintain focus on multiple screens simultaneously, which can result in the oversight of crucial incidents. In this regard, artificial intelligence (AI) video analytics has become increasingly prominent, driven by numerous practical applications that include object identification, detection of unusual behavior patterns, facial recognition, and traffic management. Recent advancements in this technology have led to enhanced functionality, remarkable accuracy, and reduced costs for consumers. There is a noticeable trend towards upgrading security frameworks by incorporating AI into pre-existing video surveillance systems, thus leading to modern video surveillance that leverages video analytics, enabling the detection and reporting of anomalies within mere seconds, thereby transforming it into a proactive security solution. In this context, the AiWatch system introduces digital twin (DT) technology in a modern video surveillance architecture to facilitate advanced analytics through the aggregation of data from various sources. By exploiting AI and DT to analyze the different sources, it is possible to derive deeper insights applicable at higher decision levels. This approach allows for the evaluation of the effects and outcomes of actions by examining different scenarios, hence yielding more robust decisions.","url":"https://doi.org/10.3390/technologies13050195","authors":["Alessio Ferone","Antonio Maratea","Francesco Camastra","Angelo Ciaramella","Antonino Staiano","Marco Lettiero","Angelo Polizio","Francesco Lombardi","Antonio Junior Spoleto"],"tags":["Computer science","Digital video","Artificial intelligence","Computer vision","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-10","doi":"https://doi.org/10.3390/technologies13050195","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4412384892","name":"Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review","source":"openalex","abstract":"Background and Aim: Digital surveillance, which utilizes data from social media, search engines, and other online platforms, has emerged as an innovative approach for the early detection of infectious disease outbreaks. This scoping review aimed to systematically map and characterize the methodologies, performance metrics, and limitations of digital surveillance tools compared to traditional epidemiological monitoring. Methods: A scoping review was conducted in accordance with the Joanna Briggs Institute and PRISMA-SCR guidelines. Scientific databases including PubMed, Scopus, and Web of Science were searched, incorporating both empirical studies and systematic reviews without language restrictions. Key elements analyzed included digital sources, analytical algorithms, accuracy metrics, and validation against official surveillance data. Results: The reviewed studies demonstrate that digital surveillance can provide significant lead times (from days to several weeks) compared to traditional systems. While performance varies by platform and disease, many models showed strong correlations (r > 0.8) with official case data and achieved low predictive errors, particularly for influenza and COVID-19. Google Trends and X (formerly Twitter) emerged as the most frequently used sources, often analyzed using supervised regression, Bayesian models, and ARIMA techniques. Conclusions: While digital surveillance shows strong predictive capabilities, it faces challenges related to data quality and representativeness. Key recommendations include the development of standardized reporting guidelines to improve comparability across studies, the use of statistical techniques like stratification and model weighting to mitigate demographic biases, and leveraging advanced artificial intelligence to differentiate genuine health signals from media-driven noise. These steps are crucial for enhancing the reliability and equity of digital epidemiological monitoring.","url":"https://doi.org/10.3390/ijerph22071104","authors":["Yamil Liscano","Luis A. Anillo Arrieta","John Fernando Montenegro","Diego Enrique Prieto-Alvarado","Jordi Ordóñez‐Llanos"],"tags":["Social media","Computer science","Comparability","Data science","Disease surveillance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-13","doi":"https://doi.org/10.3390/ijerph22071104","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4413880458","name":"Digital Twin-Based Multiscale Models for Biomarker Discovery in Kinase and Phosphatase Tumorigenic Processes","source":"openalex","abstract":"Digital twin is a mathematical model that virtually represents a physical object or process and predicts its behavior at future time points. These simulation models enable a deeper understanding of tumorigenic processes and improve biomarker discovery in cancer research. Tumor microenvironment is marked by dysregulated signaling pathways, where kinases and phosphatases serve as critical regulators and promising sources for biomarker discovery. These enzymes operate within multiscale and context-dependent processes where spatial and temporal coordination determine cellular outcomes. Digital Twin technology provides a platform for multimodal and multiscale modeling of kinase and phosphatase processes at the patient-specific level. These models have the potential to transform biomarker validation processes, enhance the prediction of therapeutic responses, and support precision decision-making. In this review, we present the major alterations affecting kinases and phosphatase functions within the tumor microenvironment and their clinical relevance as biomarkers, and we address how digital twins in oncology can augment and refine each stage of the biomarker discovery pipeline. Introducing this emerging technology for cancer biomarker discovery will assist in accelerating its adoption and translation into precision diagnostics and targeted therapies.","url":"https://doi.org/10.3390/kinasesphosphatases3030018","authors":["Sara Sadat Aghamiri","Rada Amin"],"tags":["Biomarker","Computational biology","Biology","Computer science","Cancer research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-31","doi":"https://doi.org/10.3390/kinasesphosphatases3030018","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W7130832959","name":"Development of a Physics-Based Digital Twin Framework for a 3 MW Class Wind Turbine","source":"openalex","abstract":"The increasing size and complexity of wind turbines have intensified the need for reliable real-time condition monitoring and health assessment. However, conventional numerical models often involve high computational demand, limiting their applicability for real-time digital twin implementation. This paper proposes a physics-based digital twin framework for the real-time health monitoring of a 3 MW class wind turbine. A physics-based numerical model was developed using Modelica 4.0.0 to simulate the electrical and mechanical behaviors of the wind turbine based on supervisory control and data acquisition (SCADA) inputs. Data preprocessing and wind speed calibration strategies were applied to reconcile nacelle-measured SCADA data with the turbine design specifications. Furthermore, reduced-order models (ROMs) were integrated with the physics-based numerical model to predict the thermal states of the generator and gearbox. Key operational parameters were selected through correlation analysis to enable accurate temperature prediction. Validation results demonstrate that the proposed digital twin accurately reproduces the dynamic behavior of the wind turbine, with the ROM-based temperature predictions showing agreement with SCADA measurements. The overall framework achieves a computation time within one second, indicating its suitability for real-time diagnostic and predictive maintenance applications.","url":"https://doi.org/10.3390/en19041088","authors":["Changhyun Kim"],"tags":["SCADA","Turbine","Wind power","Computation","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-20","doi":"https://doi.org/10.3390/en19041088","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4399133308","name":"Data justice in the “twin objective” of market and risk: How discrimination is formulated in EU's AI policy","source":"openalex","abstract":"Abstract Based on a focus on artificial intelligence (AI) policy in the European Union (EU), we explore the dominant approach taken to data justice in policy. More specifically, we ask how the particular issue of discrimination is translated into policy goals and measures as a way to address prominent concerns about AI. Looking at the stage of policy formulation, we provide an analysis of the way (non) discrimination is currently pursued within the EU's AI policy debate through the study of relevant policy documents and public consultations between 2017 and 2023. We argue that whilst the issue of discrimination has moved from the margins to the mainstream in policy debate, it has done so based on an understanding of discrimination as an inevitable risk of AI; such risk is specific to particular situations and the technological features of AI; the nature of this risk can be assessed and managed through a set of procedural safeguards; and such safeguards can be supported by the creation of a trustworthy AI market. Whilst this translation of justice is very important for contending with some of the critique surrounding the advancement of AI, it may also serve to contain and neutralize such critique in the interest of marketization.","url":"https://doi.org/10.1002/poi3.392","authors":["Jędrzej Niklas","Lina Dencik"],"tags":["Economic Justice","Political science","Economics","Law and economics","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-28","doi":"https://doi.org/10.1002/poi3.392","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4413411676","name":"Research on Value-Chain-Driven Multi-Level Digital Twin Models for Architectural Heritage","source":"openalex","abstract":"As a national treasure, architectural heritage carries multiple value dimensions such as history, technology, art, and culture. With the increasing demand for architectural heritage protection and utilization, the traditional static digital model of architectural heritage based on geometric expression can no longer meet the practical application of multi-stage and multi-level scenarios. To this end, this paper proposes a value-chain-driven multi-level digital twin model of architectural heritage. Based on the three-stage logic of protection, management, and dissemination of value-chain classification, it integrates four types of models: geometry, physics, rules, and behavior. Combined with different hierarchical application levels, the digital model of architectural heritage is refined into a VCLOD (Value-Chain-Driven Level of Detail) detail hierarchy system to achieve a unified expression from spatial form restoration to intelligent response. Through the empirical application of three typical scenarios: the full-area guided tour of the Forbidden City, the exhibition curation of the central axis and the preventive protection of the Meridian Gate, the model shows the following specific results: (1) the efficiency of tourist guidance is improved through real-time personalized path planning; (2) the exhibition planning and visitor experience are improved through dynamic monitoring and interactive management of the exhibition environment; (3) the predictive analysis and preventive protection measures of structural safety are realized, effectively ensuring the structural safety of the Meridian Gate. The research results provide a theoretical basis and practical support for the systematic expression and intelligent evolution of digital twins of architectural heritage.","url":"https://doi.org/10.3390/buildings15172984","authors":["Guoli Wang","Yaofeng Wang","Ming Guo","Xuanshuo Liang","Yang Fu","Hongda Li"],"tags":["Value (mathematics)","Architectural engineering","Chain (unit)","Computer science","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.3390/buildings15172984","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403785587","name":"Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models","source":"openalex","abstract":"Large language model-based (LLM) agents are emerging as a powerful enabler of robust embodied intelligence due to their capability of planning complex action sequences. Sound planning ability is necessary for robust automation in many task domains, but especially in surgical automation. These agents rely on a highly detailed natural language representation of the scene. Thus, to leverage the emergent capabilities of LLM agents for surgical task planning, developing similarly powerful and robust perception algorithms is necessary to derive a detailed scene representation of the environment from visual input. Previous research has focused primarily on enabling LLM-based task planning while adopting simple yet severely limited perception solutions to meet the needs for bench-top experiments, but lacks the critical flexibility to scale to less constrained settings. In this work, we propose an alternate perception approach -- a digital twin (DT)-based machine perception approach that capitalizes on the convincing performance and out-of-the-box generalization of recent vision foundation models. Integrating our DT representation and LLM agent for planning with the dVRK platform, we develop an embodied intelligence system and evaluate its robustness in performing peg transfer and gauze retrieval tasks. Our approach shows strong task performance and generalizability to varied environmental settings. Despite a convincing performance, this work is merely a first step towards the integration of DT representations. Future studies are necessary for the realization of a comprehensive DT framework to improve the interpretability and generalizability of embodied intelligence in surgery.","url":"https://doi.org/10.48550/arxiv.2409.13107","authors":["Hao Ding","Lalithkumar Seenivasan","Hongchao Shu","Byrd, Grayson","Han Zhang","Pufu Xiao","Juan Antonio Barragan","R. H. Taylor","Peter Kazanzides","Mathias Unberath"],"tags":["Foundation (evidence)","Automation","Computer science","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-19","doi":"https://doi.org/10.48550/arxiv.2409.13107","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4399252449","name":"Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide","source":"openalex","abstract":"Biodiversity data are substantially increasing, spurred by technological advances and community (citizen) science initiatives. To integrate data is, likewise, becoming more commonplace. Open science promotes open sharing and data usage. Data standardization is an instrument for the organization and integration of biodiversity data, which is required for complex research projects and digital twins. However, just like with an actual instrument, there is a learning curve to understanding the data standards field. Here we provide a guide, for data providers and data users, on the logistics of compiling and utilizing biodiversity data. We emphasize data standards, because they are integral to data integration. Three primary avenues for compiling biodiversity data are compared, explaining the importance of research infrastructures for coordinated long-term data aggregation. We exemplify the Biodiversity Digital Twin (BioDT) as a case study. Four approaches to data standardization are presented in terms of the balance between practical constraints and the advancement of the data standards field. We aim for this paper to guide and raise awareness of the existing issues related to data standardization, and especially how data standards are key to data interoperability, i.e., machine accessibility. The future is promising for computational biodiversity advancements, such as with the BioDT project, but it rests upon the shoulders of machine actionability and readability, and that requires data standards for computational communication.","url":"https://doi.org/10.48550/arxiv.2405.19857","authors":["Carrie Andrew","Sharif Islam","Claus Weiland","Dag Endresen"],"tags":["Biodiversity","Data science","Dissemination","Digital data","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-30","doi":"https://doi.org/10.48550/arxiv.2405.19857","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4413026367","name":"Formation of Motivated Adaptive Erudite AGI Twin with Reflexive Multimodal Ontology by Ensembles of Intelligent Agents","source":"openalex","abstract":"The development of artificial intelligence and ensembles of intelligent agents has led to the formation of a motivated, adaptive and erudite AGI twin with a reflexive multimodal ontology. Formation of a motivated adaptive intelligent multimodal digital twin with reflexive erudition and ontology based on ensembles of intelligent agents combines several key technologies and methods for creating highly effective systems for modeling and simulating real objects or processes. Motivation allows creating a digital twin that is capable of not only accurately reproducing the characteristics of the original object or system, but also independently determining goals, motives and interaction strategy, which ensures its adaptability to changing conditions and tasks. Multimodal use of various types of data and sensory channels (visual, auditory, tactile, etc.) allows the twin to perceive and process information in a variety of formats, increasing the accuracy and completeness of results. Creating a digital twin from specialized agents interacting with each other and uniting into ensembles to solve complex problems allows distributing functions, increasing flexibility and its scalability. Providing it with reflection, analysis of its own decisions and behavior, as well as erudition for accumulation and use of knowledge improves and expands the scope of activity and learning from experience. The ontology of knowledge, describing the entities, properties and relationships of objects, as well as practical skills, promotes compatibility and expandability of activity with people. Practical implementation includes, firstly, the development of the architecture of multimodal data and algorithms for their processing, secondly, the creation and training of agent ensembles using machine learning methods and neural networks, thirdly, the introduction of reflection and self-learning mechanisms to increase motivation and adaptability of the system, fourthly, the formalization of ontologies for structuring knowledge and integrating skills with other systems. The information approach finds application in robotics, virtual assistants, monitoring and control systems, as well as in modeling complex dynamic systems where a high degree of flexibility and AGI intelligence is required.","url":"https://doi.org/10.25082/rima.2025.02.004","authors":["Evgeniy Bryndin"],"tags":["Reflexivity","Ontology","Computer science","Artificial intelligence","Epistemology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-06","doi":"https://doi.org/10.25082/rima.2025.02.004","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413791612","name":"Data-Driven Method for Robotic Trajectory Error Prediction and Compensation Based on Digital Twin","source":"openalex","abstract":"In addressing the limited absolute positioning accuracy of industrial robots, which stems from the discrepancy between the nominal kinematic model and the physical entity, this paper proposes a novel paradigm for online compensation based on data-driven error prediction. The present study utilized a KUKA KR4 R600 robot as the experimental platform to construct a high-fidelity digital twin system capable of real-time synchronization. Within this framework, a new machine learning model, termed the Global Configuration-Error Forest (GCE-Forest), was developed and validated. The fundamental principle of GCE-Forest, based on the Random Forest algorithm, is its offline learning of the complex, highly non-linear mapping from the robot’s six-dimensional joint space configuration to its three-dimensional end-effector Cartesian error space. This facilitates online, feedforward, and predictive compensation for the nominal trajectory during robot operation. Through rigorous comparative experiments, the superiority of the proposed GCE-Forest was established. The final outcomes of dynamic trajectory tracking validation demonstrate that the system, by accurately predicting a mean nominal error of 0.1977 mm, successfully reduced the average spatial positioning error of the end-effector to 0.0845 mm, achieving an accuracy improvement of 57.25%. This research provides comprehensive validation of the method’s robust performance, offering a low-cost, non-invasive, and highly effective solution for significantly enhancing robotic accuracy.","url":"https://doi.org/10.3390/machines13090771","authors":["Shengnan Yang","Wenping Jiang","Lin Long"],"tags":["Computer science","Trajectory","Robot","Random forest","Compensation (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-28","doi":"https://doi.org/10.3390/machines13090771","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4403735583","name":"Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models","source":"openalex","abstract":"Post-disaster reconstruction of the built environment represents a key global challenge that looks set to remain for the foreseeable future, but it also offers significant implications for the future sustainability and resilience of the built environment. The purpose of this research is to explore the current applications of advanced digital/Industry 4.0 technologies in the post-disaster reconstruction (PDR) process with a view to improving its effectiveness and efficiency and the sustainability and resilience of the built environment. The extant research literature from the Scopus database on built environment reconstruction is identified and described. In a novel literature review approach, small language models are used for the classification and filtering of technology-related articles. A qualitative content analysis is then carried out to understand the extent to which Industry 4.0 technologies are applied in current reconstruction practice, mapping their applications to specific phases of the PDR process and identifying dominant technologies and key trends in technology deployment. The study reveals a rapidly evolving landscape of technological innovation with transformative potential in enhancing the efficiency, effectiveness, and sustainability of rebuilding efforts, with dominant technologies including GIS, remote sensing, AI, and BIM. Key trends include increasing automation and data-driven decision-making, integration of multiple Industry 4.0/digital technologies, and a growing emphasis on incorporating community needs and local knowledge into reconstruction plans. The study highlights the need for future research to address key challenges, such as developing interoperable platforms, addressing the ethical implications of using AI and big data, and exploring the contribution of Industry 4.0/digital technologies to sustainable reconstruction practices.","url":"https://doi.org/10.3390/buildings14113367","authors":["Ankit Rawat","Emlyn Witt","Mohamad Louay Roumyeh","Irene Lill"],"tags":["Process (computing)","Computer science","Systems engineering","Engineering","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-24","doi":"https://doi.org/10.3390/buildings14113367","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4401507011","name":"Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities","source":"openalex","abstract":"The metaverse, known as the next-generation 3D Internet, represents virtual environments that mirror the physical world. It is supported by innovative technologies such as digital twins and extended reality (XR), which elevate user experiences across various fields. However, the metaverse also introduces significant cybersecurity and privacy challenges that remain underexplored. Due to its complex multi-tech infrastructure, the metaverse requires sophisticated, automated, and intelligent cybersecurity measures to mitigate emerging threats effectively. Therefore, this paper is the first to explore Artificial Intelligence (AI)-driven cybersecurity techniques for the metaverse, examining academic and industrial perspectives. First, we provide an overview of the metaverse, presenting a detailed system model, diverse use cases, and insights into its current industrial status. We then present attack models and cybersecurity threats derived from the unique characteristics and technologies of the metaverse. Next, we review AI-driven cybersecurity solutions based on three critical aspects: User authentication, intrusion detection systems (IDS), and the security of digital assets, specifically for Blockchain and Non-fungible Tokens (NFTs). Finally, we highlight challenges and suggest future research opportunities to enhance metaverse security, privacy, and digital asset transactions.","url":"https://doi.org/10.1109/comst.2024.3442475","authors":["Abeer Awadallah","Khouloud Eledlebi","Mohamed Jamal Zemerly","Deepak Puthal","Ernesto Damiani","Kamal Taha","Tae‐Yeon Kim","Paul D. Yoo","Kim‐Kwang Raymond Choo","Man‐Sung Yim","Chan Yeob Yeun"],"tags":["Metaverse","Computer security","Computer science","Data science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-12","doi":"https://doi.org/10.1109/comst.2024.3442475","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W3009369133","name":"Digital Platforms of Networking in Industry","source":"openalex","abstract":"Abstract The article presents the analysis findings of the conceptual approaches by various scientists as per the digital platforms development in industry. Such platforms and technologies make a specific cluster of digital economy responsible for generating competencies that contribute to the development of markets and different economic sectors. The authors single out and make a case for three key approaches to the understanding of the idea behind the digital platforms, i.e. a digital platform as a complex of technologies, a digital platform as a business model and a digital platform as an enterprise providing for the mutually beneficial cooperation between the venders, producers and customers. The study has shown that while researching the conceptual basis of digital platforms development in industry a major role is played by digital twins. The analysis of Gartner Hype Cycle has proven the role of digital twins in the industrial IoT development. At the same time, the authors define the barriers in the industrial IoT development common for the industrial facilities in Russia. Additionally, it has been concluded that it is necessary to develop a single integrated digital platform for the needs of industry taking into account sector-specific issues. Networking is considered to be an effective strategy for the industry development. The implementation of digital design and modeling of smart digital twin is aimed at the transition of the industrial sector to technological paradigms V and VI.","url":"https://doi.org/10.1088/1757-899x/753/6/062005","authors":["Наталия Симченко","Svetlana Tsohla","Irina Pavlenko"],"tags":["Industry 4.0","Digital transformation","Digital economy","Conceptual model","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-01","doi":"https://doi.org/10.1088/1757-899x/753/6/062005","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413251141","name":"Computer Simulation Everywhere: Mapping Fifteen Years Evolutionary Expansion of Discrete-Event Simulation and Integration with Digital Twin and Generative Artificial Intelligence","source":"openalex","abstract":"Discrete-event simulation (DES) as an operations research (OR) technique has continued to evolve since its inception in the 1950s. DES evolution mirrors the advances in computer science (hardware and software, processing speed, and advanced information visualization capabilities). DES overcame the initial usability obstacles and lack of efficacy challenges in the early 2000s to remain a popular OR tool of “last resort.” Using bibliographic data from SCOPUS, this study undertakes a science mapping of the DES literature and evaluates its evolution and expansion in the past fifteen years. The results show asymmetrical but positive yearly literature output; broadened DES adoption in diverse fields; and sustained relevance as a potent OR method for tackling old, new, and emerging operations and production issues. The thematic analysis identifies DES as an essential tool that integrates and enhances digital twin technology in Industry 4.0, playing a central role in enabling digital transformation processes that have swept the industrial space in manufacturing, logistics, healthcare, and other sectors. DES integration with generative/artificial intelligence (GenAI/AI) provides a great potential to revolutionize modeling and simulation activities, tasks, and processes. Future studies will explore more ways to integrate GenAI tools in DES.","url":"https://doi.org/10.3390/sym17081272","authors":["Ikpe Justice Akpan","Godwin Esukuku Etti"],"tags":["Computer science","Relevance (law)","Data science","Event (particle physics)","Discrete event simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-08","doi":"https://doi.org/10.3390/sym17081272","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4414449091","name":"Integrating 3D object detection with ontologies for accurate digital twin creation in manufacturing systems","source":"openalex","abstract":"Abstract The digitization of manufacturing resources through digital twins (DTs) enhances operational efficiency and resource management. Ontologies play a key role in maintaining semantic consistency within DT systems. However, existing ontology-based approaches face challenges, including limited adaptability, integration of heterogeneous data—such as 3D images—and high manual effort in ontology development. These limitations hinder the scalability of DT implementations. Traditional 2D imaging often lacks spatial accuracy in complex manufacturing environments, causing inefficiencies and higher costs. Integrating richer data with intelligent frameworks is crucial for improving production and adaptability. The proposed study addresses these challenges by introducing a methodology that integrates existing ontologies with advanced 3D object detection models. The proposed approach employs two fully automated pipelines: one for detecting manufacturing resources from 3D images and another for mapping them into ontologies, ensuring seamless integration into DT frameworks. By leveraging established ontologies, the methodology enhances interoperability, reduces implementation complexity, and facilitates scalable deployment of DT systems across various industrial applications. Additionally, a comparative analysis of multiple advanced 3D detection models provides valuable insights to guide the selection of optimal solutions for diverse industrial settings. Experimental results show that YOLOv8 achieved the highest performance, with 91% classification accuracy, 86% precision, 81% recall, and the fastest inference time of 0.66 s. For ontology population, four machine labels—Robot, MillingMachine, BandSaw, and Lathe—were successfully integrated using a semantic similarity-based mapping strategy, enabling automated class creation and merging. This innovative framework sets a new benchmark for DT implementations, offering enhanced accuracy, efficiency, and semantic coherence in modern manufacturing.","url":"https://doi.org/10.1007/s00170-025-16548-x","authors":["Tina Boroukhian","Kritkorn Supyen","J. Samson","Atit Bashyal","Hendro Wicaksono"],"tags":["Computer science","Scalability","Ontology","Consistency (knowledge bases)","Benchmark (surveying)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"https://doi.org/10.1007/s00170-025-16548-x","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4404646241","name":"Digital twin framework and platform for zero‐emission heavy haul locomotive design and development","source":"openalex","abstract":"Abstract In recent years, significant development activity has been seen in battery electric and hydrogen locomotives. To fully understand the potential benefits of these zero‐emission technologies and their application in locomotive design, a design study utilising a digital twin framework can be employed. While current research on the use of digital twins for battery and hydrogen‐powered rail vehicles is limited, recent studies conducted at the Centre for Railway Engineering at CQUniversity indicate potential challenges with implementing standard 6‐axle locomotives for zero‐emission designs considering heavy haul operational needs and scenarios. These challenges are related to limitations in energy storage capacity and optimisation of train operation scenarios. By considering an 8‐axle locomotive design concept and employing a digital twin framework in the design process, a more comprehensive assessment of conceptual development, design and requirements can be achieved. This will ensure the locomotive design meets standards, guidelines, and codes of practice, ultimately contributing to achieving net‐zero emission goals in locomotive traction.","url":"https://doi.org/10.1049/dgt2.12017","authors":["Maksym Spiryagin","Esteban Bernal","Sanjar Ahmad","Qing Wu","Colin Cole","Tim McSweeney"],"tags":["Zero emission","Engineering","Conceptual design","Automotive engineering","Axle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-23","doi":"https://doi.org/10.1049/dgt2.12017","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403886069","name":"Research on digital discretion—The subjectification of street‐level work in public administration","source":"openalex","abstract":"Abstract The article presents a systematic review of scholarly articles (n = 168) focused on digital discretion—how digital technologies affect the discretionary autonomy of street‐level bureaucrats. Two analytical tasks are performed concerning how digital transformation has affected (1) the relations between top‐down governing and the work of street‐level bureaucrats and (2) street‐level bureaucrats in the encounter with individuals. The documentation shows an expanding research area, and most articles showcase various subjectification effects when street‐level bureaucrats become screen‐ or system‐level bureaucrats. Street‐level bureaucrats are under increasing pressure from changing political rationalities consisting of streams of scientific knowledge, societal discourses, and the need for changes in governmental practices. The transformation carries political rationalities that fundamentally reshape value structures, organizing, and working methods of street‐level work. Still, the research area needs further development and consolidation. The reviewed research analyzes policies without considering the political content developed during policy initiation, formulation, and decision‐making. Instead, the research is characterized by a short‐sighted analytical perspective on how individual street‐level bureaucrats handle a changing technological development.","url":"https://doi.org/10.1111/ropr.12637","authors":["Jörgen Johansson"],"tags":["Subjectification","Discretion","Work (physics)","Administration (probate law)","Public administration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-30","doi":"https://doi.org/10.1111/ropr.12637","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4410702467","name":"Unpacking willingness in family firms facing the digital transformation","source":"openalex","abstract":"Abstract Digital transformation introduces a new set of parameters for firm innovation. Existing literature has found that family firms vary on their willingness to innovate. However, explanations of the factors that lead to a family firm’s (un)willingness to act remain scarce. Even more scarce are studies exploring the family firm’s (un)willingness in the digital transformation. The digital transformation is a promising environmental stimulus to unpack family firm (un)willingness due to its disruptive nature. This research uses a comparative multiple case study of 14 manufacturing family firms. The novel findings identify a variety of dispositions that can be divided into willingness-enabling and willingness-suppressing . Willingness affects how family firms potentially (do not) take advantage of the opportunities provided by the digital transformation. The contributions are twofold. First, the importance of considering the heterogeneity of family firms’ willingness toward digital transformation is highlighted. Second, by identifying the role of dispositions and related mechanisms we unpack the heterogeneity of the willingness. In sum, we provide a much-needed explanation of family firms in the digital transformation.","url":"https://doi.org/10.1007/s11187-025-01057-8","authors":["Samuel Wayne Appleton","Marco Mismetti","Dominik T. Matt","Alfredo De Massis"],"tags":["Unpacking","Entrepreneurship","Transformation (genetics)","Business","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-24","doi":"https://doi.org/10.1007/s11187-025-01057-8","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W4401113504","name":"Internet of robotic things with a local LoRa network for teleoperation of an agricultural mobile robot using a digital shadow","source":"openalex","abstract":"Abstract In unstructured agricultural fields where autonomous navigation is challenging and demands additional safety, the operator’s experience and knowledge are essential for supervising operations and making decisions beyond the robot’s autonomous capabilities. Local networks with long-range wireless communication combined with digital twin concepts are promising solutions that can be used for robot teleoperation. The purpose of this study was to demonstrate the feasibility of supervising a mobile robot inside berry orchards using a digital shadow from a long-range distance (between 300 and 3000 m), with the primary objective of assisting the robot in navigating in complex situations such as row-end turning. This involved creating a virtual representation of the robot that mirrors its state and actions, allowing the remote operator to monitor and guide the robot effectively. The system comprised a GPS-based navigation controller with collision avoidance sensors, two sets of LoRa transmitters and repeaters, a simulation environment with a digital shadow of the robot, and a graphical user interface for the remote operator. Information about the digital shadow’s state, including location, orientation, and distances to obstacles, was received as a message by the LoRa gateway and was used to update the path for the actual robot that interfaced with the Robot Operating System (ROS). The main research hypothesis aimed to test the quality of the LoRa communication link between the robot and the operator, as well as the robustness of the robot’s control system, with an emphasis on the architecture, communication link, and situation awareness creation. Preliminary results showed that depending on the environment, the average packet loss was 12% at distances of approximately 2300 m. Our results highlight some of the core technical challenges that need to be addressed for an effective teleoperation system, including latency, stability, and the limited range of wireless communication. Future works involves evaluating the performance and reliability of the proposed method under different field conditions and scenarios, as well as considering the use of the 5G network for a significant improvement in data transmission speed, navigation efficiency, and visual feedback. Upon successful implementation, this study has the potential to enhance the efficiency and safety of robot navigation, providing a practical solution for remote supervision in challenging environments.","url":"https://doi.org/10.1007/s42452-024-06106-7","authors":["Redmond R. Shamshiri","Eduardo Navas","Volker Dworak","Tjark Schütte","Cornelia Weltzien","Fernando Auat Cheein"],"tags":["Teleoperation","Shadow (psychology)","Mobile robot","Computer science","Robot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-30","doi":"https://doi.org/10.1007/s42452-024-06106-7","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.14264/bcf9740","name":"Implementation of digital twin technology to monitor and improve alumina refinery operations","source":"crossref","abstract":"","url":"https://doi.org/10.14264/bcf9740","authors":["Sophia Hooton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-16T04:14:47Z","doi":"10.14264/bcf9740","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/citsm64103.2024.10775575","name":"Optimizing Field Technician Collaboration Through Implementing Digital Twin Technology in IT Service Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/citsm64103.2024.10775575","authors":["Ikrar Adinata Arin","Gerald Zefanya Piereva","Danang Prihandoko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-11T22:21:26Z","doi":"10.1109/citsm64103.2024.10775575","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/cost64302.2024.00076","name":"Fault Prediction Method of Stage Lifts Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cost64302.2024.00076","authors":["Huiqin Wang","Chunxi Zhang","Zhen Li","Mengjiao Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T17:53:17Z","doi":"10.1109/cost64302.2024.00076","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.22215/etd/2026-17209","name":"Sensor Integration to Create a Digital Twin Framework of a Snowblower Robot","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2026-17209","authors":["Sherry Ghandali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T19:42:12Z","doi":"10.22215/etd/2026-17209","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.11606/t.3.2020.tde-05032021-101637","name":"Closed-loop digital twin for the product lifecycle.","source":"crossref","abstract":"","url":"https://doi.org/10.11606/t.3.2020.tde-05032021-101637","authors":["Luiz Fernando Cardoso dos Santos Durão"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-10T12:58:06Z","doi":"10.11606/t.3.2020.tde-05032021-101637","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.47330/cbc.2021.nula5546","name":"Opening the Blockchain Ecosystem in Construction","source":"crossref","abstract":"Construction is undergoing digitalisation through innovations such as Building Information Modelling (BIM), Internet of Things (IoT) and blockchain. Various countries attempt to regulate, standardise and mandate such technologies. For example, various institutions, e.g. government, policy, businesses, and industry consortia, actively developed BIM implementation processes and pushed its use. However, in the lower tiers of the construction supply chain, the democratisation of BIM was problematic and Small and Medium Enterprises (SMEs) lagged behind due to limited resources. The digital divide reinforced mistrust in improvement agendas. This paper problematises around leadership necessary for democratising blockchain, an emerging digital technology.","url":"https://doi.org/10.47330/cbc.2021.nula5546","authors":["Eleni Papadonikolaki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.nula5546","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-21343-4_22","name":"Operating Digital Twins Within an Enterprise Process","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_22","authors":["Kenneth M. Rosen","Krishna R. Pattipati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T08:52:28Z","doi":"10.1007/978-3-031-21343-4_22","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.18775/ijied.1849-7551-7020.2015.52.2006","name":"The Digital Transformation of the Product Management Process: Conception of Digital Twin Impacts for the Different Stages","source":"crossref","abstract":"In this paper the potential impact of digital transformation in general and digital twin applications on the Product Management Process (PMP) in particular will be investigated. The object is to figure out the potential benefits of digital twin utilization. Methodologically, a conceptual and analytical approach are applied in using statistical data, surveys, latest literature and logical conclusions. Thus, the approach is twofold: from the conceptual point of view the different types of digital twins are introduced; from the analytical point of view different applications in different stages of the PMP will be subject to investigation. So, this paper can be categorized as conceptual paper based on an extensive literature research. The findings of research revealed that the digital transformation can offer various benefits for the PMP. It can be summarized that in all phases of the PMP potential benefits can be identified. The most important is saving time and money, avoiding waste of physical resources and simultaneously raising quality, reliability and competitive advantage. Regarding the originality value it can be stated that this is the first comprehensive examination of the entire PMP with regard to digital transformation in order to identify sources of potential benefits.","url":"https://doi.org/10.18775/ijied.1849-7551-7020.2015.52.2006","authors":["Günter Hofbauer","Anita Sangl","Sonja Engelhardt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-07-13T11:56:02Z","doi":"10.18775/ijied.1849-7551-7020.2015.52.2006","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00027-7","name":"Title page","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00027-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:59:44Z","doi":"10.1016/b978-0-443-34226-4.00027-7","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.20935/al1202","name":"Use of Digital Twin in Electropneumatic Systems","source":"crossref","abstract":"","url":"https://doi.org/10.20935/al1202","authors":["Lucas Pinto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-24T22:00:29Z","doi":"10.20935/al1202","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/das61944.2024.10541200","name":"Digital Twin and Virtual Reality: A Co-simulation Environment for an Educational Hydraulic Workstation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/das61944.2024.10541200","authors":["Fănică-Valeriu Hrib","Andrei-Iulian Iancu","Constantin-Cătălin Dosoftei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-31T17:28:48Z","doi":"10.1109/das61944.2024.10541200","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/meae62008.2024.11026590","name":"Research on Reconfigurable Component Library for Digital Twin System of Aircraft Assembly Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/meae62008.2024.11026590","authors":["Jun Li","Yingying Bao","Xiaoyu Chen","Hongxia Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T17:34:57Z","doi":"10.1109/meae62008.2024.11026590","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/pesgm51994.2024.10688527","name":"Hybrid ML-EMT-Based Digital Twin for Device-Level HIL Real-Time Emulation of Ship-Board Microgrid on FPGA","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pesgm51994.2024.10688527","authors":["Songyang Zhang","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-04T17:30:03Z","doi":"10.1109/pesgm51994.2024.10688527","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icdscnc62492.2024.10941474","name":"Cyber-Physical Digital Twin for Smart City Transportation Systems: A Real-Time Simulation and Optimization Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdscnc62492.2024.10941474","authors":["P. Janaki Ramal","E. Anbalagan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T17:44:48Z","doi":"10.1109/icdscnc62492.2024.10941474","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1115/imece2024-146078","name":"Integrating Digital Twin Technology During the Concept Development Phase of the Product Development Process","source":"crossref","abstract":"Abstract Digital Twins (DTs) are an essential component of Industry 4.0, as they can significantly enhance every stage of a product’s life cycle, from its initial design to its disposal. Design for Digital Twins (DfDT) is a new approach that incorporates Digital Twin technology into the design and development processes of physical consumer products, facilitating the identification and development of both focused and comprehensive DTs concurrently with the physical product. DfDT aims to enhance product design by enabling more efficient and effective data use throughout the product lifecycle. It uses existing technologies, such as 3D scanning, Computer-Aided Engineering, and Machine Learning., to support different activities related to the development of digital twins. DfDT can provide a shift towards more informed and data-driven product design, reducing the need for physical prototypes and helping to identify and resolve product performance issues before they lead to costly design changes. An electric scooter is used to demonstrate the application of key aspects of the proposed DfDT methodology. It is expected that DfDT will help product development teams utilize DTs for efficient product development by integrating advanced digital capabilities at the outset of product conceptualization to enhance traditional product design processes.","url":"https://doi.org/10.1115/imece2024-146078","authors":["S. M. Tawhid Mahmud","Karim H. Muci-Küchler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-23T12:43:36Z","doi":"10.1115/imece2024-146078","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.energy.2023.129681","name":"Enhancing real-time degradation prediction of lithium-ion battery: A digital twin framework with CNN-LSTM-attention model","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.energy.2023.129681","authors":["Wei Li","Yongsheng Li","Akhil Garg","Liang Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-15T02:31:17Z","doi":"10.1016/j.energy.2023.129681","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/mcom.002.2200833","name":"Experimental Research on Digital Pre-Equalization With Digital Twin Technology in VLC-WDM Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcom.002.2200833","authors":["Meiling Luo","Chuan Yang","Dahai Han","Yi Huang","Liqiang Wang","Min Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-25T19:51:50Z","doi":"10.1109/mcom.002.2200833","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.4018/978-1-6684-9848-4.ch010","name":"Shipping Applications of Digital Twins","source":"crossref","abstract":"This chapter presents three applications of digital twin in shipping, namely the predictive maintenance of ship machinery, cargo load area cleaning, and hull biofouling treatment. The chapter discusses the business importance of each of these applications and surveys the current state of the art practices. The chapter then illustrates novel approaches that utilise digital twins and bring improvements in terms of costs, safety, and environmental impact.","url":"https://doi.org/10.4018/978-1-6684-9848-4.ch010","authors":["Angeliki Deligianni","Leonidas Drikos","George Mantalos","Eleftherios Kaklamanis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:42:25Z","doi":"10.4018/978-1-6684-9848-4.ch010","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/compsac61105.2024.00078","name":"Experiences in Building a Digital Twin Framework: Challenges and Possible Solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/compsac61105.2024.00078","authors":["Rong Gu","Teodor Barbuceanu","Ning Xiong","Tiberiu Seceleanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-26T17:23:31Z","doi":"10.1109/compsac61105.2024.00078","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icedcs64328.2024.00156","name":"Research on Digital Twin Technology to Optimize Underground Cable Network Management Strategy","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icedcs64328.2024.00156","authors":["Wang Xiaotang","Zhao Yang","Luo Min","Gao Lei","Huang Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T18:31:54Z","doi":"10.1109/icedcs64328.2024.00156","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3280/oa-1016-c415","name":"Multiscalar Digital Twin. Step Representation towards Urban Multiverse","source":"crossref","abstract":"","url":"https://doi.org/10.3280/oa-1016-c415","authors":["Domenico D’Uva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-19T08:18:33Z","doi":"10.3280/oa-1016-c415","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.32657/10356/201709","name":"Digital-twin-enabled resilience of building occupants against indoor disruptions","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/201709","authors":["Koon Ngee Jonathan Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-05T06:52:11Z","doi":"10.32657/10356/201709","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.6028/nist.ir.8356","name":"Security and Trust Considerations for Digital Twin Technology","source":"openalex","abstract":"Security and Trust Considerations February 2025for Digital Twin Technology Certain commercial equipment, instruments, software, or materials, commercial or non-commercial, are identified in this paper in order to specify the experimental procedure adequately.Such identification does not imply recommendation or endorsement of any product or service by NIST, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities.The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications.Thus, until each publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative.For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST.","url":"https://doi.org/10.6028/nist.ir.8356","authors":["Jeffrey Voas","Jeff Voas"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"10.6028/nist.ir.8356","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch009","name":"Digital Twins","source":"openalex","abstract":"The convergence of digital twins and artificial intelligence (AI) is ushering in a transformative era for businesses across various industries. Digital twins, virtual replicas of physical entities or processes, have evolved beyond their traditional use in manufacturing and are now playing a pivotal role in optimizing operations, enhancing decision-making, and fostering innovation. This chapter explores the profound impact of digital twins in the age of AI, elucidating how these interconnected technologies are reshaping business models, improving efficiency, and driving unprecedented insights. The synergy between digital twins and AI enables organizations to create dynamic and responsive simulations, providing real-time visibility into the performance and behavior of physical assets. From predictive maintenance and supply chain optimization to personalized healthcare solutions and smart cities, the chapter delves into diverse applications where digital twins powered by AI are delivering tangible benefits.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch009","authors":["S. C. Vetrivel","K. C. Sowmiya","V. Sabareeshwari"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-02","doi":"10.4018/979-8-3693-3234-4.ch009","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"doi:10.1007/978-3-031-21343-4_14","name":"Cybersecurity and Dependability for Digital Twins and the Internet of Things","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_14","authors":["Vartan Piroumian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_14","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00003-0","name":"Digital twin enabling flexible and sustainable human–robot collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00003-0","authors":["Giulia Bruno","Khurshid Aliev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00003-0","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.7717/peerj-cs.3574/fig-2","name":"Figure 2: Workflow of GRU-digital twin integration for predictive traffic simulation and control.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3574/fig-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-26T08:50:23Z","doi":"10.7717/peerj-cs.3574/fig-2","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.12681/eadd/60164","name":"Development of an application framework for digital twin-driven intelligent autonomous vehicles","source":"crossref","abstract":"Η ενσωμάτωση των ψηφιακών διδύμων με τα αυτόνομα οχήματα αποτελεί έναν πολλά υποσχόμενο, αλλά ανεπαρκώς διερευνημένο, ερευνητικό τομέα. Τα ψηφιακά δίδυμα παρέχουν εικονικές αναπαραστάσεις φυσικών συστημάτων που επιτρέπουν τον συγχρονισμό, την παρακολούθηση, την προσομοίωση και τη βελτιστοποίηση σε πραγματικό χρόνο καθ’ όλη τη διάρκεια της ζωής του συστήματος. Παρόλο που έχουν μελετηθεί και εφαρμοστεί εκτενώς στην βιομηχανία, η υιοθέτηση των ψηφιακών διδύμων στα αυτόνομα οχήματα παραμένει αποσπασματική, χωρίς ένα ενιαίο μεθοδολογικό πλαίσιο. Η παρούσα διδακτορική διατριβή προσπαθεί να αντιμετωπίσει αυτό το κενό, διερευνώντας συστηματικά τις υπάρχουσες εφαρμογές, προτείνοντας ένα δομημένο εννοιολογικό πλαίσιο για την εφαρμογή των ψηφιακών διδύμων στον τομέα των αυτόνομων οχημάτων και επικυρώνοντάς το πειραματικά μέσω αντιπροσωπευτικών μελετών περίπτωσης. Η έρευνα δομείται σε τρεις κύριες φάσεις. Η πρώτη φάση περιλαμβάνει μια εκτενή ανασκόπηση της βιβλιογραφίας και βιβλιομετρική ανάλυση, χαρτογραφώντας το ερευνητικό και ακαδημαϊκό πεδίο των εφαρμογών ψηφιακών διδύμων σε αυτόνομα οχήματα ξηράς, αέρος, θαλάσσης και υποθαλάσσιου περιβάλλοντος. Ποσοτικές και ποιοτικές αναλύσεις αναδεικνύουν βασικές τάσεις, τομείς εφαρμογής, μεθοδολογίες και τεχνολογικούς παράγοντες. Η μελέτη υπογραμμίζει την εκθετική αύξηση των δημοσιεύσεων τα τελευταία πέντε χρόνια, αναδεικνύοντας τόσο το συνεχώς αυξανόμενο ενδιαφέρον για το πεδίο, όσο και την απουσία δομημένων προσεγγίσεων που θα μπορούσαν να υποστηρίξουν την ευκολότερη εφαρμογή των ψηφιακών διδύμων στα αυτόνομα οχήματα. Βάσει αυτών των ευρημάτων, στην δεύτερη φάση της εργασίας αυτής διαμορφώνεται ένα πλαίσιο εφαρμογής. Το πλαίσιο αυτό βασίζεται σε τέσσερις κύριους πυλώνες: (i) απαιτήσεις και ορισμό του συστήματος, (ii) ενδιάμεσο λογισμικό επικοινωνίας και ροή δεδομένων, (iii) ψηφιακή μοντελοποίηση και (iv) ενοποίηση και επαλήθευση φυσικού-ψηφιακού συστήματος. Παρέχει μια τυποποιημένη μεθοδολογία για την ενσωμάτωση των ψηφιακών διδύμων σε αυτόνομα οχήματα, από τον σχεδιασμό και την ανάπτυξη έως τη δοκιμή, την υλοποίηση και τη λειτουργία τους. Το πλαίσιο αυτό δίνει έμφαση στη διαλειτουργικότητα και την επεκτασιμότητα, καθιστώντας τα ψηφιακά δίδυμα έναν μηχανισμό γεφύρωσης μεταξύ θεωρητικών μοντέλων και πραγματικών εφαρμογών. Η τρίτη φάση επικεντρώνεται στην πειραματική επαλήθευση του προτεινόμενου πλαισίου εφαρμογής. Πραγματοποιήθηκαν τρείς μελέτες περίπτωσης, δύο εξ αυτών χρησιμοποίησαν μικρής κλίμακας αυτόνομα οχήματα και το τρίτο έναν προσομοιωτή υψηλής πιστότητας που αναπαριστά το φυσικό σύστημα. Η πρώτη επαλήθευση βασίστηκε σε μια ειδικά κατασκευασμένη πλατφόρμα δοκιμών, ενώ η δεύτερη αξιοποίησε ένα όχημα τύπου RoboRacer, επεκτείνοντας το με αναβαθμίσεις υλικού και αισθητήρων, ώστε να αξιολογηθεί η ανθεκτικότητα και προσαρμοστικότητα του πλαισίου. Η τρίτη επαλήθευση αποτελούσε κλιμάκωση σε προσομοιωμένο όχημα πλήρους κλίμακας. Χρησιμοποιήθηκαν ανοικτά οικοσυστήματα, όπως τα ROS/ROS2, για τη δημιουργία αμφίδρομου συγχρονισμού μεταξύ φυσικού και ψηφιακού περιβάλλοντος. Τα πειράματα έδειξαν ότι το πλαίσιο μπορεί να υποστηρίξει την ενσωμάτωση αλγορίθμων αντίληψης και ελέγχου, καθώς και την αξιολόγηση επιδόσεων υπό ποικίλες συνθήκες λειτουργίας. Τα αποτελέσματα επιβεβαίωσαν τη δυνατότητα μείωσης του κόστους ανάπτυξης, περιορισμού των κινδύνων και διευκόλυνσης πειραματισμών σε σενάρια που διαφορετικά θα ήταν επικίνδυνα ή μη πρακτικά για δοκιμή στον πραγματικό κόσμο. Οι κύριες συνεισφορές της παρούσας διατριβής είναι τρεις. Πρώτον, παρέχει μια συστηματική χαρτογράφηση του ερευνητικού πεδίου, προσφέροντας μια ενοποιημένη αναφορά για ερευνητές και επαγγελματίες. Δεύτερον, εισάγει ένα νέο εννοιολογικό πλαίσιο που τυποποιεί την εφαρμογή των ψηφιακών διδύμων στα αυτόνομα οχήματα, καλύπτοντας ένα κρίσιμο κενό στη βιβλιογραφία και αξιοποιώντας το παράδειγμα των ψηφιακών διδύμων της Βιομηχανίας 4.0, ενός καλά εδραιωμένου τομέα εφαρμογής τους. Τρίτον, παρουσιάζει πειραματικά δεδομένα που τεκμηριώνουν την πρακτ","url":"https://doi.org/10.12681/eadd/60164","authors":["Νικόλαος Σαραντινούδης"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T12:31:24Z","doi":"10.12681/eadd/60164","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-21343-4_20","name":"Welcome to the Complex Systems Age: Digital Twins in Action","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_20","authors":["Joseph J. Salvo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T08:52:28Z","doi":"10.1007/978-3-031-21343-4_20","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1201/9781003669470-6","name":"Digital Twin Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003669470-6","authors":["Derek Hollenbeck","YangQuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T23:55:53Z","doi":"10.1201/9781003669470-6","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-37256-8_9","name":"“Digital Specialist Foundations”—Using the Digital Twin During Project Execution","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-37256-8_9","authors":["Marcus Daubner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-30T19:03:55Z","doi":"10.1007/978-3-031-37256-8_9","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-21343-4_6","name":"Achieving Scale Through Composable and Lean Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_6","authors":["Pieter van Schalkwyk","Dan Isaacs"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_6","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1515/9783110778861-011","name":"Chapter 11 Digital Twin Simulator","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-011","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-011","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1680/dtsc.66007.123","name":"Comparison of City Digital Twin case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1680/dtsc.66007.123","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T06:52:03Z","doi":"10.1680/dtsc.66007.123","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1515/9783111327853-011","name":"Chapter 11 Data-driven AI for information retrieval of biomedical images","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-011","authors":["Mert Akın İnsel","Hale Gonce Kocken","Inci Albayrak","Selcan Karakuş"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-011","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2991/978-94-6463-433-4_35","name":"Functionality of Digital Twin in Shopfloor Employees Training with AI and ML Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.2991/978-94-6463-433-4_35","authors":["C.P. Chandra Mohini","V. Raghavendran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-01T04:13:01Z","doi":"10.2991/978-94-6463-433-4_35","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.54941/ahfe1004626","name":"Revitalizing Urban Village Environments through Digital Twin Technology: A Case Study of Nantou Ancient Town","source":"crossref","abstract":"The rapid advancement of the digital age has significantly expanded the potential applications of digital twin technology. However, urban villages, characterized by low socio-economic status and limited access to digital twin technology. Additionally, Prior studies often overlook structural factors like inadequate planning and infrastructure, hindering efforts to improve urban village living conditions.Consequently, this study aims to investigate the implementation of digital twin technology to enhance the environment of urban villages and address issues such as outdated infrastructure and inadequate living conditions.The purpose of this study is to create a virtual model of an urban village (Nantou Ancient Town) using digital twin technology (Unreal Engine). The model will use 3D geospatial and data visualization to visually present the living conditions of urban villages, including buildings, population density, water supply and green space. The aim is to provide practical insights for enhancing the overall environment and improving living conditions in urban villages through targeted infrastructure improvements and environmental upgrades.Therefore, this research is of significant importance in improving the environment of urban villages and providing more opportunities for accessing digital technology. Furthermore, it highlights the potential of utilizing digital technology to enhance living conditions in urban villages, based on the premise of promoting balanced development of basic infrastructure in urban villages, and it also strengthens community inclusivity and sustainable development in urban villages.In conclusion, this research has promising prospects in advancing the field of digital improvement of living environments by exploring the widespread application of digital twin technology like the Unreal Engine, especially in areas where digital technologies are lacking, and addressing existing research gaps. By uncovering the potential of these technologies, this study has the possibility to enhance the well-being of urban village residents through the utilization of technology, drive innovation, and shape the future of digital living environments.","url":"https://doi.org/10.54941/ahfe1004626","authors":["Yangyang Pan","Yuanli Yu","Izzy Yi Jian","Yu Liu","Sky Tiantian Lo","Shuyi Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-10T17:08:00Z","doi":"10.54941/ahfe1004626","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21125/edulearn.2022.0419","name":"DIGITAL TWIN ARCHITECTURE TO DEVELOP BUSINESS INTELLIGENCE AND DIGITAL COMPETENCIES","source":"crossref","abstract":"","url":"https://doi.org/10.21125/edulearn.2022.0419","authors":["Alfredo Santana Reynoso"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-19T07:36:03Z","doi":"10.21125/edulearn.2022.0419","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-981-97-3559-4_6","name":"A Performance Comparison Between a Digital Shadow and a Digital Twin in a Mixed Model Stochastic System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3559-4_6","authors":["Philane Tshabalala","Rangith B. Kuriakose"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-27T15:01:47Z","doi":"10.1007/978-981-97-3559-4_6","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1049/pbte109e_ch2","name":"Digital twin-enabled aerial edge networks with ultra-reliable low-latency communications","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbte109e_ch2","authors":["Dang Van Huynh","Yijiu Li","Tan Do-Duy","Emi Garcia-Palacios","Trung Q. Duong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T08:08:33Z","doi":"10.1049/pbte109e_ch2","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/s13198-024-02553-y","name":"Navigating the digital landscape: prioritizing challenges in supply chain management of digital twin implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s13198-024-02553-y","authors":["Vernika Agarwal","Seema Sahai","Namita Sahay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-21T10:03:19Z","doi":"10.1007/s13198-024-02553-y","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.4038/suslj.v22i1.7828","name":"Are we ready for the twin transition? Building Digital-Green (DIGREEN) competencies in Sri Lanka","source":"crossref","abstract":"No abstract available","url":"https://doi.org/10.4038/suslj.v22i1.7828","authors":["M. Esham"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-24T08:33:58Z","doi":"10.4038/suslj.v22i1.7828","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2478/amns-2024-0861","name":"Research on Intelligent Design of Traditional Cultural and Creative Products Based on Digital Twin Network Modeling","source":"crossref","abstract":"Abstract This study investigates the integration of digital twin technology in the design of traditional cultural and creative products, addressing the challenges of innovation and efficiency in the cultural and creative industries. By employing digital twin network modeling, we develop an intelligent design method that digitally replicates and optimizes cultural products, enhancing design efficiency and innovation. Our approach involves digital modeling of traditional characteristics through preprocessing and feature extraction, followed by multi-scale design evolution experiments in a virtual environment. Results show a 30% improvement in design efficiency and increased product innovation and user satisfaction, demonstrating the method’s potential to revolutionize traditional product design while preserving cultural essence. This research contributes to the intelligent design of cultural and creative products and suggests new avenues for the cultural industry’s innovative growth.","url":"https://doi.org/10.2478/amns-2024-0861","authors":["Pin Gao","Yue Zhang","Delan Mu","Mingying Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-26T22:53:51Z","doi":"10.2478/amns-2024-0861","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icassp48485.2024.10446262","name":"Optimizing Synchronization Delay for Digital Twin over Wireless Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icassp48485.2024.10446262","authors":["Zhaohui Yang","Mingzhe Chen","Yuchen Liu","Zhaoyang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-18T14:56:31Z","doi":"10.1109/icassp48485.2024.10446262","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-21343-4_28","name":"Digital Twins in Shipbuilding and Ship Operation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_28","authors":["Russ Hoffman","Paul Friedman","Dave Wetherbee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_28","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.69848/sreports.v1i1.4791","name":"Conceptualizing A Digital Twin Model for Natural Gas Retailing in A Geographic Area in India","source":"crossref","abstract":"In the fourth Industrial Revolution context, various industries are embracing advanced technologies such asartificial intelligence, machine learning, big data analytics, and the Internet of Things to facilitate Net Zerotransition with digital transformation. A notable development in this field is the Digital Twin (DT), a virtualrepresentation of the physical system. Digital transformation enhances process management, elevates businessperformance, and facilitates the advancement of sustainable energy transition as a viable solution for thechallenges arising from climate change. India's strategic goal of achieving a gas-based economy by 2030, byproviding widespread access to a local distribution network for cleaner natural gas serving 98% of thepopulation has motivated the study of integrating advanced digital technology into gas retailing as a viablesolution for decarbonized economic growth. Accordingly, this exploratory study presents a novel conceptualmodel of a Digital Twin for natural gas retailing. The model aims for efficient real-time management of citygas operations in India to enhance natural gas retail consumption for accelerating a gas-based economytransition. This supports India’s commitment to providing affordable access to cleaner fuels under its SDG 7framework. The research has practical implications for society to manage local climate change issueseffectively.","url":"https://doi.org/10.69848/sreports.v1i1.4791","authors":["Asim Prasad","Anita Kumar","Pratyush Prasad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-29T11:29:39Z","doi":"10.69848/sreports.v1i1.4791","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21956/digitaltwin.19202.r28071","name":"Peer Review Report For: Digital twin method and application practice of spacecraft system driven by mechanism data [version 1; peer review: 1 approved, 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19202.r28071","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19202.r28071","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.36227/techrxiv.170714357.73615196/v1","name":"Query-and-Response Digital Twin Framework using a Multi-domain, Multi-function Image Folio","source":"crossref","abstract":"In developing digital twins for power electronics converters and other power system components, selecting an appropriate representation type and level of abstraction is fundamental. The choice of representation should balance fidelity, computational cost, and objectives of the representation. Digital twins are generally given a single, specific representation task; however, various functions can be delegated to the digital twin to support, leaving room for ambiguity in the design of the digital twin. Digital twins can be designed with multi-domain and multi-functional capabilities, allowing them to adapt to diverse system domains and perform a variety of representation tasks. This approach allows the digital twin to be as specialized as the physical asset it serves. This study introduces a framework enabling the development of multi-domain, multi-functional digital twins, adaptable for use in various representation tasks. The framework utilizes a collection of digital images for an accurate depiction of different asset elements, ensuring a detailed yet unified digital twin. The framework is designed to analyze the assigned representation task and select the most suitable digital image for execution. Details on the development of the framework are provided and experimental results validate the effectiveness of the proposed framework.","url":"https://doi.org/10.36227/techrxiv.170714357.73615196/v1","authors":["Kerry Sado","Jarrett Peskar","Austin R J Downey","Herbert L Ginn","Roger Dougal","Kristen Booth"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-05T09:32:55Z","doi":"10.36227/techrxiv.170714357.73615196/v1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1080/17538947.2024.2312219","name":"Feature-constrained automatic geometric deformation analysis method of bridge models toward digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1080/17538947.2024.2312219","authors":["Jun Zhu","Niya Luo","Zhihao Guo","Jianbo Lai","Li Zuo","Chuanjun Zhang","Yukun Guo","Ya Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-07T12:40:28Z","doi":"10.1080/17538947.2024.2312219","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.52842/conf.sigradi.2024.1789","name":"Enhancing Cultural Heritage Monitoring: Integrating HBIM-IoT towards a digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.52842/conf.sigradi.2024.1789","authors":["Rafael Fernandes Dionizio","Crislandy Kaline Barreiro Marques","Eloisa Dezen-Kempter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-05T19:24:33Z","doi":"10.52842/conf.sigradi.2024.1789","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394474486.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.fmatter","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/noms59830.2024.10575904","name":"Enabling 6G Campus Networks Intelligent Control with Digital Twin: A case study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/noms59830.2024.10575904","authors":["Zied Ennaceur","Mounir Bensalem","Cao Vien Phung","André C. Drummond","Admela Jukan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T17:23:51Z","doi":"10.1109/noms59830.2024.10575904","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1145/3697467.3697667","name":"Digital Twin Warehouse Management Platform Developed Based on Unity3D","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3697467.3697667","authors":["Hailiang Chen","Tianning Chu","Lei Yang","Zhijian Wang","Liang Xue"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-08T21:31:52Z","doi":"10.1145/3697467.3697667","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003469612-10","name":"Sustainable Organic Farming in Indian Rural Areas with the Aid of the Internet of Things","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-10","authors":["R. Rajesh","S. Sivakumar","S. Premkumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-10","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4732772","name":"Digital Twin of a Laser Beam Welding Process: From a Thermomechanical Model to the Experimental Inspection and Validation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4732772","authors":["Oihane Murua","Jon  Iñaki Arrizubieta","Lamikiz Aitzol","Heinz  Ingo Schneider"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-20T12:29:11Z","doi":"10.2139/ssrn.4732772","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.14733/cadaps.2025.180-202","name":"Empowering Digital Twin Through BIM‒Blockchain for Carbon Disclosure of Certified Green Buildings","source":"crossref","abstract":"","url":"https://doi.org/10.14733/cadaps.2025.180-202","authors":["Adam Fitriawijaya","Jeng Taysheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-02T17:41:03Z","doi":"10.14733/cadaps.2025.180-202","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.4271/2024-01-1999","name":"Digital Twin Based Multi-Vehicle Cooperative Warning System on Mountain Roads","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Compared with urban areas, the road surface in mountainous areas generally has a larger slope, larger curvature and narrower width, and the vehicle may roll over and other dangers on such a road. In the case of limited driver information, if the two cars on the mountain road approach fast, it is very likely to occur road blockage or even collision. Multi-vehicle cooperative control technology can integrate the driving data of nearby vehicles, expand the perception range of vehicles, assist driving through multi-objective optimization algorithm, and improve the driving safety and traffic system reliability. Most existing studies on cooperative control of multiple vehicles is mainly focused on urban areas with stable environment, while ignoring complex conditions in mountainous areas and the influence of driver status. In this study, a digital twin based multi-vehicle cooperative warning system was proposed to improve the safety of multiple vehicles on mountain roads. First, implement the mapping from reality to the cloud , and establish a multi-vehicle mountain road driving digital twin model based on vehicle dynamics through cloud data and local data. This model focuses on the roll and longitudinal movement of the vehicle. Then, the ground influence factor is introduced to correct the minimum headway on sloping ground. The classification model from the Support Vector Machine is used to identify and classify driver behavior patterns, and adjust the weight of each vehicle in the queue. Next, a multi-vehicle cooperative warning system is used to predict the development mode of the vehicle group, including the rollover predictor, the front predictor and the digital twin prediction model. It provides warnings for specific targets. Finally, a simulation was conducted. The results show that in a short prediction time, the LLTR error of the flip predictor is stable near the actual value within 1.6 seconds, and the prediction results of the distance predictor are consistent with the facts. The system can effectively achieve preliminary warning of the fleet and improve the safety of multi-vehicle driving on mountain roads.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-1999","authors":["Liheng Tian","Zirui Yu","Xinguo Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-08T22:16:06Z","doi":"10.4271/2024-01-1999","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.70937/faet.v1i01.44","name":"A Systematic Literature Review On Building Resilient Supply Chains Through Circular Economy And Digital Twin Integration","source":"crossref","abstract":"The integration of circular economy (CE) principles and digital twin (DT) technologies has emerged as a transformative approach to enhancing supply chain resilience in the face of dynamic global challenges. This study systematically reviews 120 peer-reviewed articles to examine the synergistic benefits of CE-DT integration, focusing on their combined impact on sustainability, operational efficiency, and risk mitigation. The review identifies significant advancements in reverse logistics, resource recovery, and supply chain transparency facilitated by DT's real-time monitoring and predictive analytics, aligned with CE's emphasis on waste reduction and lifecycle optimization. Industry-specific applications in healthcare, automotive, and electronics sectors are explored, highlighting CE-DT’s adaptability and effectiveness. However, critical gaps persist, including the lack of unified frameworks, limited empirical studies on long-term impacts, and challenges in cross-industry knowledge transfer. This systematic review synthesizes evidence to provide actionable insights, emphasizing the potential of CE-DT integration as a robust framework for achieving sustainable and resilient supply chains. The findings serve as a valuable resource for researchers, industry professionals, and policymakers seeking innovative solutions to modern supply chain challenges.","url":"https://doi.org/10.70937/faet.v1i01.44","authors":["Md Tahmidul Islam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-31T06:46:56Z","doi":"10.70937/faet.v1i01.44","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.54254/2755-2721/82/20241086","name":"Technical Feasibility Analysis of Digital Twin Technology in the Field of Urban Disaster Prevention","source":"crossref","abstract":"In recent years, disasters have occurred frequently around the world, causing great harm to national finances and people's safety. There is still a lack of research on digital disaster prevention technology, but with the development of technologies such as artificial intelligence and computer vision, it has gradually become possible to use digital twin technology in urban disaster prevention. This paper is mainly based on digital twin related technologies, briefly introduces the concept and importance of digital twins, and the applicable fields, and then discusses the mode of data interaction between real entities and twins and the feasibility of digital disaster prevention, so as to prevent and simulate urban disasters and derive strategies for dealing with disasters. This paper reviews the existing research on digital twin technology through the method of literature retrieval and analysis. By analyzing technologies such as the Internet of Things, sensors, three-dimensional laser technology, urban monitoring technology, satellite remote sensing technology, drone remote sensing technology, mobile device technology, lidar technology, and oblique photography, a systematic review of critical analysis is obtained, and a macro method of data interaction and modeling for digital twin technology for disaster prevention is obtained, thereby deriving the feasibility of disaster prevention based on digital twin systems.","url":"https://doi.org/10.54254/2755-2721/82/20241086","authors":["Zixuan Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-11T03:00:16Z","doi":"10.54254/2755-2721/82/20241086","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.46254/gc02.20240174","name":"From Concept to Value Realization: The Journey of Digital Twin Implementation for Upstream Asset Performance","source":"crossref","abstract":"","url":"https://doi.org/10.46254/gc02.20240174","authors":["Khulood Al Maawali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-27T19:16:49Z","doi":"10.46254/gc02.20240174","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.54254/2753-8818/34/20241184","name":"A method for generating the digital twin models of plants","source":"crossref","abstract":"In the process of creating digital twin models of plants, the simulation accuracy of models generated by conventional 3D reconstruction methods is insufficient. Considering the increasing number of models over time, adopting deep learning-based models not only consume a significant amount of time but also require substantial computational resources consumption. Therefore, we proposed a method for generating digital twin models of plants, aiming to ensure the simulation credibility while effectively reducing resource costs. Experimental results show that this method is capable of generating plant models that closely resemble physical entities at different growth periods. Compared with other construction methods, this approach achieves higher simulation credibility (CD=0.089, EMD=0.034, KNN=0.005, RGB=4.97) with lower computational resources consumption (ROM=7.46MB, VRAM=2456MB, Time=0h5min48s) when generating a digital twin model.","url":"https://doi.org/10.54254/2753-8818/34/20241184","authors":["Yi Lin","Xinyu Zhao","Chuyang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-28T05:41:03Z","doi":"10.54254/2753-8818/34/20241184","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.23919/chain.2024.000001","name":"Review of Digital Twin Technology Applications in Hydrogen Energy","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chain.2024.000001","authors":["Zhiming Feng","Iusiph Eiubovi","Yan Shao","Zhaohu Fan","Rui Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T17:50:44Z","doi":"10.23919/chain.2024.000001","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3390/systems12020038","name":"A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization","source":"crossref","abstract":"In the context of Industry 4.0 and smart manufacturing, production factories are increasingly focusing on process optimization, high product customization, quality improvement, cost reduction, and energy saving by implementing a new type of digital solutions that are mainly driven by Internet of Things (IoT), artificial intelligence, big data, and cloud computing. By the adoption of the cyber–physical systems (CPSs) concept, today’s factories are gaining in synergy between the physical and the cyber worlds. As a fast-spreading concept, a digital twin is considered today as a robust solution for decision-making support and optimization. Alongside these benefits, sectors are still working to adopt this technology because of the complexity of modeling manufacturing operations as digital twins. In addition, attempting to use a digital twin for fully automatic decision-making adds yet another layer of complexity. This paper presents our framework for the implementation of a full-duplex (data and decisions) specific-purpose digital twin system for autonomous process control, with plastic injection molding as a practical use-case. Our approach is based on a combination of supervised learning and deep reinforcement learning models that allows for an automated updating of the virtual representation of the system, in addition to an intelligent decision-making process for operational metrics optimization. The suggested method allows for improvements in the product quality while lowering costs. The outcomes demonstrate how the suggested structure can produce high-quality output with the least amount of human involvement. This study shows how the digital twin technology can improve the productivity and effectiveness of production processes and advances the use of the technology in the industrial sector.","url":"https://doi.org/10.3390/systems12020038","authors":["Abdelmoula Khdoudi","Tawfik Masrour","Ibtissam El Hassani","Choumicha El Mazgualdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-24T07:42:16Z","doi":"10.3390/systems12020038","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3389/978-2-8325-5815-7","name":"Online Monitoring of Wind Power Plants using Digital Twin Models","source":"crossref","abstract":"","url":"https://doi.org/10.3389/978-2-8325-5815-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T06:40:02Z","doi":"10.3389/978-2-8325-5815-7","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/access.2024.3416999","name":"Reinforcement Learning Based Automatic Synchronization Method for Nuclear Power Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3416999","authors":["Yunlong Xiao","Hao Liu","Qing Zhang","Jingsi Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-20T17:42:14Z","doi":"10.1109/access.2024.3416999","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003403791-1","name":"BCECBN","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003403791-1","authors":["Pabba Sumanth","Sriramulu Bojjagani","Popuri Poojitha","Ponnam Bharani","Thokala Gopal Krishna","Neeraj Kumar Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T06:25:28Z","doi":"10.1201/9781003403791-1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4784122","name":"Heritage Building Preservation Through Multimodal Llm and Language-Embedded 3dgs: A Novel Digital Twin with Effective Visualization, Documentation, and Querying","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4784122","authors":["Jiaying ZHANG","Zhenyu Liang","Jeff  Chak Fu Chan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-04T11:17:44Z","doi":"10.2139/ssrn.4784122","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21956/digitaltwin.19202.r28070","name":"Peer Review Report For: Digital twin method and application practice of spacecraft system driven by mechanism data [version 1; peer review: 1 approved, 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19202.r28070","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19202.r28070","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1145/3685088.3685137","name":"Jining City Si River Digital Twin Watershed Management Platform Construction Practice","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3685088.3685137","authors":["Longfei Zhang","Minzhi Yang","Zhendong Fan","Xu Kong","Juehong Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-26T16:38:55Z","doi":"10.1145/3685088.3685137","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/globecom52923.2024.10901205","name":"Digital Twin of Industrial Networked Control System based on Value of Information","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901205","authors":["Van-Phuc Bui","Daniel Abode","Pedro M. de Sant Ana","Karthik Muthineni","Shashi Raj Pandey","Petar Popovski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901205","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4995709","name":"Status Perception and Visualization of Quick-Wear Part In Packaging Equipment Based on Virtual Sensor in Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4995709","authors":["Nanyan Shen","Yufei Li","Jing Li","Xin Jin","Tianqiang He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-22T13:38:02Z","doi":"10.2139/ssrn.4995709","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.46254/an14.20240651","name":"An Integration of Lean and Digital Twin Simulation Modelling for Warehouse Material Handling and Optimization","source":"openalex","abstract":"The accumulation of supply chain lead time caused by inventory handling inside the warehouse, which includes waiting time, queue time, and unexpected delays, makes it difficult to fulfill demand shocks and third-party stakeholder needs. Regardless of how complex production planning is, these issues persist and change. In that instance, studying or mapping a pharmaceutical warehouse supply chain inventory would be a significant difficulty in identifying areas for future development. The study focused on the warehouse of a pharmaceutical firm. Following extensive fieldwork and literature gap analysis, a case study technique was determined to be the most appropriate methodology for this study. Lean unified simulation modeling leverages Supply Chain Value Stream Mapping (SCVSM) and Discrete Event Simulation (DES) to capture, record, evaluate, and decrease inventory waiting times, delays, queues, and other wastes for a specific product family. Following various lean proposals in the future state SCVSM, the findings of this investigation reveal a significant improvement in warehouse lead time. There was significant increase in the value-added time and reduction in non-value added time with the assistance of risk free DES models that replicated the entire operations for the purpose of present and future state simulation along with suggestions for improvements. This study proved to possess strong managerial and practical implications that shall help in better decision-making by deeply understanding the supply chain activities that occur as discrete events inside a warehouse.","url":"https://doi.org/10.46254/an14.20240651","authors":["Ahmed Zainul Abideen"],"tags":["Computer science","Lean manufacturing","Warehouse","Manufacturing engineering","Material handling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-12","doi":"10.46254/an14.20240651","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.21956/digitaltwin.19210.r27952","name":"Peer Review Report For: A digital twin-based analysis method to assess geometric variations for parts in batch production [version 2; peer review: 6 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19210.r27952","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T03:02:32Z","doi":"10.21956/digitaltwin.19210.r27952","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-71867-0_46","name":"Digital Evolution: From BIM to Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-71867-0_46","authors":["Antonio Salzano","Enrico Pasquale Zitiello","Maurizio Nicolella","Chiara Gragnaniello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-31T16:03:32Z","doi":"10.1007/978-3-031-71867-0_46","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.54021/seesv5n1-104","name":"Enhancing fuel cell efficiency through advanced digital twin modeling","source":"crossref","abstract":"In this study, we embark on a comprehensive exploration aimed at advancing Fuel Cell Modeling through the sophisticated computational capabilities offered by Matlab Simscape. Our primary objective is to engineer an advanced digital twin that not only replicates but faithfully captures the intricate characteristics inherent in real-world Fuel Cell models. This digital counterpart assumes a pivotal role in our research, serving as a dynamic tool for continuous monitoring of the operational dynamics exhibited by actual Fuel Cells. It stands as a dependable reference point, enabling us to delve deeper into the complexities of these systems. However, the significance of our digital twin transcends mere emulation. It emerges as a stable benchmark against which deviations in real Fuel Cell data can be discerned and analyzed, thereby facilitating meticulous error analysis. Through meticulous alignment with its physical counterpart, our approach offers a precise instrument for anomaly detection, providing invaluable insights into potential errors within the authentic Fuel Cell system. This innovative methodology not only enhances the efficiency of error detection but also revolutionizes the comprehensive evaluation of reliability and performance within the fuel cell domain under scrutiny. By integrating state-of-the-art computational capabilities with the intricacies of real-world systems, our research signifies a paradigm shift in the study and optimization of fuel cell technologies. The intricate interplay between simulation and reality paves the way for a deeper understanding of fuel cell behavior, enabling us to uncover nuances that were previously inaccessible. This holistic approach not only improves our ability to detect and rectify errors but also enhances our capacity to optimize fuel cell performance in diverse applications. Ultimately, our research endeavors to bridge the gap between theoretical modeling and practical implementation, offering a robust framework for advancing the efficiency, reliability, and performance of fuel cell systems in real-world scenarios.","url":"https://doi.org/10.54021/seesv5n1-104","authors":["Yacine Benchenina","Abderrahim Zemmit","Mohammed Moustafa Bouzaki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T15:16:38Z","doi":"10.54021/seesv5n1-104","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.34186/klujes.1578303","name":"A Digital Twin-Based Study of Material Behavior in the Rolling Process","source":"crossref","abstract":"The study proposes the development of a digital twin model for the rolling process. This virtual representation allows for the investigation of how various rolling parameters influence the quality of the final product. By employing finite element analysis (FEA), the model can simulate the rolling process under different conditions. Specifically, the study focuses only workpiece material which includes aluminum alloy (Al2024) for digital twin scenario. Through simulations, critical parameters like the Z-force exerted on the workpiece can be determined and compared. This enables researchers to evaluate different scenarios and identify optimal rolling conditions without the need for costly physical experiments.","url":"https://doi.org/10.34186/klujes.1578303","authors":["Kadir Gök","Cemal Esen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-30T21:24:34Z","doi":"10.34186/klujes.1578303","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.5023549","name":"Intelligent Fault Diagnosis of Multi-Way Valves in Hydraulic Systems Using Digital Twin and Deep Learning Approaches","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5023549","authors":["Guangcheng Zhang","Kai Zhang","Wei Shen","Guoyong Xu","Yueh-Jaw Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-16T22:43:02Z","doi":"10.2139/ssrn.5023549","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2991/978-94-6463-490-7_10","name":"Intelligent Foundation Pit based on Digital Twin Technology Safety Monitoring and Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2991/978-94-6463-490-7_10","authors":["Jingxian Sun","Cheng Zhang","Shen Luo","Fei Meng","Jian Gao","Jinyuan Wu","Chaowen Xie","Tianheng Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-02T06:02:51Z","doi":"10.2991/978-94-6463-490-7_10","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/globecom52923.2024.10901293","name":"Collaborative Task Offloading with Digital Twin in Multi-Vehicle and Multi-Edge Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901293","authors":["Anqi Gu","Huaming Wu","Yixiao Wang","Ruidong Li","Chaogang Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901293","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1080/27525783.2026.2613469","name":"Quality-centric digital twins in additive manufacturing: a review of the state-of-the-art, challenges, and future directions","source":"openalex","abstract":"Additive Manufacturing (AM) transformed the production landscape, yet quality-related challenges continue to hinder its full potential. To address these issues, various approaches have been explored, including Design of Experiments (DOE), numerical simulations, data-driven methods, and the emerging technology of Digital Twin (DT) – a virtual replica of a physical entity enabling bi-directional data exchange and real-time interaction. It stands out by offering integrated monitoring, control, and predictive capabilities. Despite recent advancements, DTs in AM remain underdeveloped, especially in addressing quality concerns. This systematic review comprehensively focuses on DTs specifically designed to enhance AM part quality – an area overlooked in previous reviews. We examine critical DT development stages, including design, implementation, data processing and intelligence, and verification and validation. Our analysis reveals two key findings. First, only 16 studies from the literature meet the strict criteria for quality-centric, bi-directional DTs, highlighting the field’s immaturity and fragmentation. Second, most implementations are process-specific, with limited multitasking capabilities and over-reliance on sensor data, inadequately addressing critical quality attributes. Based on these findings, we propose six future research directions, namely establishing a comprehensive quality-focused DT framework, integrating multiscale modelling, enabling smarter DTs, creating a unified platform for diverse AM processes, improving data synchronisation, and enhancing data security.","url":"https://doi.org/10.1080/27525783.2026.2613469","authors":["Mohammad Vahid Ehteshamfar","Xun Xu","Sheng Yang"],"tags":["Computer science","Artificial intelligence","Set (abstract data type)","Feature (linguistics)","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"10.1080/27525783.2026.2613469","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.70269/10.70269/7637715544","name":"Twin Anemia-polycythemia Sequence and Twin Reversed Arterial Perfusion","source":"crossref","abstract":"","url":"https://doi.org/10.70269/10.70269/7637715544","authors":["NURTEN ÇİLEK"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T00:40:34Z","doi":"10.70269/10.70269/7637715544","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1080/27525783.2025.2512978","name":"Digital twin assisted improved transformer multidimensional time series for fault prediction of automatic transverse robots","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2512978","authors":["Weiwei Ye","Xuepeng Liu","Xinchun Zhao","Hongbiao Fu","Yongbin Cai","Yi Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-13T10:13:44Z","doi":"10.1080/27525783.2025.2512978","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-69107-2_1","name":"Defining, Exploring, and Simulating the Digital Twin Metaverses","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-69107-2_1","authors":["Michael Grieves","Edward Y. Hua"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-25T07:02:07Z","doi":"10.1007/978-3-031-69107-2_1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1117/12.3046550","name":"A multiweight mesh simplification algorithm for feature preservation in digital twin models","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3046550","authors":["Bin Zhou","Hongda Luo","Jie Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-27T20:40:30Z","doi":"10.1117/12.3046550","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.seta.2024.103628","name":"Resilient microgrid modeling in Digital Twin considering demand response and landscape design of renewable energy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.seta.2024.103628","authors":["Wanlin Cao","Lei Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-24T13:54:19Z","doi":"10.1016/j.seta.2024.103628","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.rcim.2024.102778","name":"Leveraging digital twin into dynamic production scheduling: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102778","authors":["Nada Ouahabi","Ahmed Chebak","Oulaid Kamach","Oussama Laayati","Mourad Zegrari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-04T16:41:02Z","doi":"10.1016/j.rcim.2024.102778","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.scs.2024.105336","name":"Augmenting cybersecurity in smart urban energy systems through IoT and blockchain technology within the Digital Twin framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scs.2024.105336","authors":["Xianghui Meng","Lingling Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T17:42:02Z","doi":"10.1016/j.scs.2024.105336","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-62963-1_36","name":"Digital Twin for BIM-FM Data Comparison: A Decision Support System Based on Graphical Interfaces","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-62963-1_36","authors":["Michele Zucco","Matteo Del Giudice","Anna Osello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T13:03:44Z","doi":"10.1007/978-3-031-62963-1_36","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/access.2024.3520003","name":"Conceptualizing and Modeling Factors Influencing Digital Twin Performance in Industrial Contexts: A Fuzzy Cognitive Mapping Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3520003","authors":["Uğur Üresin","Umut Asan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-18T19:40:41Z","doi":"10.1109/access.2024.3520003","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21956/digitaltwin.19210.r28106","name":"Peer Review Report For: A digital twin-based analysis method to assess geometric variations for parts in batch production [version 2; peer review: 6 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19210.r28106","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19210.r28106","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21956/digitaltwin.18723.r27940","name":"Peer Review Report For: A digital twin network solution for end-to-end network service level agreement (SLA) assurance [version 1; peer review: 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.18723.r27940","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.18723.r27940","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.4271/2024-01-2582","name":"Digital Twin Modeling Using High-Fidelity Battery Models for State Estimation and Control","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Lithium-ion batteries (LIBs) play a vital role in the advancement of electric vehicles and sustainable energy solutions. They are favored over other secondary energy storage systems due to their high energy density, long cycle life, high nominal voltage, and low self-discharge rate. However, the latency of its internal states makes it difficult to predict its performance and ensure it is being operated safely. Fortunately, battery management systems (BMS) can use battery models to predict the internal states of a battery. There is a constant trade-off between accuracy and computational cost when it comes to battery models with only a handful being able to meet the constraints of a BMS. The following paper will showcase a Digital Twin framework that captures the accuracy of high-fidelity electrochemical models while meeting the computational constraints imposed by the BMS. The proposed framework will show that a high-fidelity model can be used to predict slower dynamics such as the state of health (SOH) and more dynamic states such as voltage, temperature, and state of charge (SOC) can be accurately predicted using a lower-fidelity model in Real-Time.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-2582","authors":["Nikhil Biju","Harshad Pandit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T22:15:56Z","doi":"10.4271/2024-01-2582","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4914828","name":"Chatdc: Geometric-Aware Data Center Digital Twin Generation Via Large Language Models","source":"crossref","abstract":"Digital twins have been used in various industrial sectors as virtual replicas of physical systems. Building high-fidelity digital twins faces challenges as it often requires extensive manual efforts and domain-specific expertise to edit the 3D models or configuration files. Thus, automated model generation and editing approaches are preferable. Large language models (LLMs) have exhibited the potential to automate digital twin generation given their human-level comprehension and reasoning capabilities. However, existing studies are inadequate for generating a plausible industry-grade digital twin scene due to the complexity of geometric description and the lack of domain knowledge. To bridge the gaps, we propose ChatDC, a conversational system that leverages LLMs to automate data center digital twin generation that satisfies predefined geometrical rules by the Segment-Generate-Optimize (SGO) workflow. Specifically, the SGO operates by i) segmenting user prompts to make generation and optimization tasks, ii) generating the digital twin based on segmented prompts, and iii) optimizing the geometric design. Evaluation shows that ChatDC outperforms other baselines with 98\\% success rate on scratch generation tasks and reduces the average makespan by 10x. Ablation study reveals that the SGO design increases the generation success rate by 65\\% at most. The validity of the generated digital twins is further evaluated through computational fluid dynamics simulation.","url":"https://doi.org/10.2139/ssrn.4914828","authors":["Minghao Li","Ruihang Wang","Xin Zhou","Zhaomeng Zhu","Rui Tan","Yonggang Wen","Huiwen Zheng","Stuart Kennedy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-03T08:18:15Z","doi":"10.2139/ssrn.4914828","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.57224/jhpr.1342561","name":"Kişiselleştirilmiş Tıp İçin Dijital İkiz: Sistematik Derleme","source":"crossref","abstract":"Amaç: Kişiselleştirilmiş tıp için dijital ikizlerin uygunluğu, faydaları, zorlukları, sorunları, kişiselleştirilmiş tıptaki uygulama alanlarını görmeye yarayacak bir çerçeve sağlamaktır. Gereç ve Yöntem: Bu bağlamda sistematik derleme yöntemi kullanılmıştır. Çalışmada Pubmed ve Scopus veri tabanlarından faydalanılmıştır. Çalışmanın tasarımı PRISMA kontrol listesi ve akış diyagramındaki adımlar takip edilerek oluşturulmuştur. Belirli dahil etme ve dışlama kriterleri kullanılarak aramalar yapılmıştır. Bulgular: Aramalar bittikten sonra elemeler yapılmış ve 14 çalışma tam metin incelemesine dahil edilmiştir. Sonuç: Çalışma sonucunda kişiselleştirilmiş tıp için dijital ikizlerin birçok tıp alanında uygulanabilir olduğu, maliyetleri düşürmek ve sağlığı iyileştirmek gibi birçok faydalarının olduğu, karmaşık örüntüler, mahremiyet, maliyet, ayrımcılık gibi birçok zorluk ve sorunun olduğu görülmüştür. Daha iyi sonuçlar alabilmek için bu çalışmanın deneysel ortamda uygulanması önerilmektedir.","url":"https://doi.org/10.57224/jhpr.1342561","authors":["Dilek ALAY"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-18T20:09:28Z","doi":"10.57224/jhpr.1342561","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1061/9780784485941.057","name":"Digital Twin-Oriented Train Derailment Accident Simulation and Its Applications on Railway Safety Training","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485941.057","authors":["Lanxin Xu","Zhao Tang","Dayuan Zhuang","Zihao Peng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-07T18:33:36Z","doi":"10.1061/9780784485941.057","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/etfa61755.2024.10710851","name":"Multiservice System for Water Supply Systems: A Smart Predictive Digital Twin Proposal","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa61755.2024.10710851","authors":["Tiago C. Pereira","Ramon Vilanova Arbos","António Andrade-Campos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-16T17:51:22Z","doi":"10.1109/etfa61755.2024.10710851","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.ifacol.2024.08.043","name":"Ontology-based Digital Twin for maintenance decisions in manufacturing systems: an application at laboratory scale","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2024.08.043","authors":["Sofia Zappa","Chiara Franciosi","Adalberto Polenghi","Alexandre Voisin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-06T19:12:26Z","doi":"10.1016/j.ifacol.2024.08.043","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icct62411.2024.10946460","name":"Reliable Resource Matching in 6G Computing Power Network for Digital Twin Service","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icct62411.2024.10946460","authors":["Shilong Zhao","Junye Zhang","Honglin Fang","Can Tan","Peng Yu","Wenjing Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T17:06:09Z","doi":"10.1109/icct62411.2024.10946460","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/cac63892.2024.10865195","name":"Demagnetization Prediction Method of Permanent Magnet Synchronous Motor Based on Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865195","authors":["Shanyong Xu","Zheng Zhang","Yourui Huang","Tao Han"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865195","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003452072-4","name":"Digital Twin Technologies in Manufacturing Industries","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003452072-4","authors":["L. Venkatesh","M. Sowrirajan","M. Arulraj","V. Rajkumar","R. Manikandan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-11T10:47:09Z","doi":"10.1201/9781003452072-4","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.59490/imdc.2024.875","name":"MariData – Digital Twin for Optimal Vessel Operations Impacting Ship Design","source":"crossref","abstract":"Energy efficiency is a key element for reduced shipping emission to meet future environmental regulations. Both design and operation play an important role to meet this goal and the perfection of the interplay between these aspects promises quick improvements to meet the requirements of short term emission standards. The MariData project [https://maridata.org] developed a forward-looking energy management and decision support system (DSS) for ship operation based on rational methods and data created during ship design and sets out to bridge the gap between design and optimized operation. The “digital performance twin” of a vessel, which is based on design data, is enhanced with lifecycle data covering the entire operational envelope and provides valuable feedback into design processes.","url":"https://doi.org/10.59490/imdc.2024.875","authors":["Jochen Marzi","Stefan Harries","Benjamin Schwarz","Martin Scharf","Katharina Demmich","Martin Pontius"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-23T04:30:33Z","doi":"10.59490/imdc.2024.875","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/s44212-024-00054-8","name":"Spatial digital twin framework for overheight vehicle warning and re-routing system","source":"crossref","abstract":"Abstract Overhead road obstacles present a significant logistical hazard to the heavy vehicle industry. Traditional overheight vehicle warning systems such as passive warning systems (PWS) and active warning systems (AWS) have not adequately reduced the frequency and impact of overheight incidents, encouraging transportation agencies to employ intelligent transport system (ITS) strategies using state-of-the-art advanced technologies. This research takes an innovative approach in developing an immersive user-focused experience, harnessing multi-disciplinary methods and tools to engineer a spatial digital twin prototype for a novel Internet-of-Things (IoT)-based active warning alert and re-routing system (AWARS). LiDAR and 3D GIS were used to model the complex road environment, tailored to the strict fiscal objectives sought by economically mindful organisations. Tree crowns were extracted from near-Infrared aerial imagery and digital elevation models, supplying the dimensions necessary for 3D tree modelling. IoT connectivity was configured using a real-time analytics approach to deliver alerts and re-routing options. The World Traffic Service with live and predictive traffic data was used for the routing application programming interface (API). A standard-configuration common rigid truck (CRT) was inserted into the 3D road environment model to simulate overheight collisions and to ascertain the effect of re-routing on estimated time of arrival (ETA). Longer ETA durations were observed for routes computed by the digital twin. Theoretically, enhanced situational awareness and subsequent reduction of risk likelihood suggests an optimised response to industry demands, despite extended travel times, cultivating a favorable impact on the supply chain through enhanced safety management.","url":"https://doi.org/10.1007/s44212-024-00054-8","authors":["Oliver Trembearth","Qian Sun","Siqin Wang","Matt Duckham"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-25T01:01:45Z","doi":"10.1007/s44212-024-00054-8","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.21956/digitaltwin.19210.r28112","name":"Peer Review Report For: A digital twin-based analysis method to assess geometric variations for parts in batch production [version 2; peer review: 6 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19210.r28112","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19210.r28112","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1145/3718751.3718814","name":"Research on Intelligent Management Method of Assembled Construction Project Scheduling Based on BIM+Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3718751.3718814","authors":["Yijia Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T06:29:37Z","doi":"10.1145/3718751.3718814","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/diagnostika61830.2024.10693927","name":"Identification and Characterization of Modulation Scheme in an EV-PMSM Control Strategy for Digital Twin Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/diagnostika61830.2024.10693927","authors":["Mahmoud Ibrahim","Anton Rassõlkin","Toomas Vaimann","Ants Kallaste"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-01T17:24:25Z","doi":"10.1109/diagnostika61830.2024.10693927","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4942518","name":"Intelligent Agent-Based Metaheuristic for Predicting Vibration Response of a Catamaran Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4942518","authors":["Brenno  M. Castro","Marcelo  de Miranda Reis","Ronaldo Salles","Ulisses  A. Monteiro","Ricardo  H.R. Gutiérrez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-31T13:18:07Z","doi":"10.2139/ssrn.4942518","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.62517/jike.202404308","name":"Application of Digital Twin Technology in Campus Network Security","source":"openalex","abstract":"With the popularization of computer networks, information resources have been shared to the greatest extent possible, and the construction of campus networks in colleges and universities has been paid more and more attention to, and campus networks are an important component of computer networks, which are developing very rapidly. The construction of campus network can provide convenient network services to teachers and students as well as administrators on campus, but at the same time, it is also subject to many network security threats, resulting in serious consequences such as student information leakage. This paper analyzes the application of digital twin technology in campus network security management, especially in the security risk assessment and attack detection and response module, the digital twin model shows powerful data processing and intelligent analysis capabilities, not only real-time analysis of network traffic, user behavior and device status, but also timely detection and response to network security events. The digital twin technology builds a safer, smarter and more dynamic campus network environment for teachers and students.","url":"https://doi.org/10.62517/jike.202404308","authors":["Gang Li","Kun Sha","Hai Fu","Yaowen Sun"],"tags":["Computer science","Campus network","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-01","doi":"10.62517/jike.202404308","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21956/digitaltwin.19195.r28268","name":"Peer Review Report For: Digital twin and its applications in the construction industry: A state-of-art systematic review [version 2; peer review: 4 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19195.r28268","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19195.r28268","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.20935/acadeng7391","name":"An intelligent state evaluation and maintenance arrangement system for wind turbines based on digital twin","source":"crossref","abstract":"Wind power is an important green and sustainable source of power generation. However, the construction of wind farms does not only need a large amount of initial investment but also highly expensive maintenance cost for their operations during power generation. Therefore, accurately assessing the state of wind turbines and effectively scheduling maintenance to keep them in good operating condition have become crucially important to ensure efficient power generation. Digital twin, as a data-driven digital concept or technology, can be used to effectively address wind power maintenance issues, especially wind turbine state evaluation problem. This article proposes a novel intelligent state evaluation and maintenance arrangement (iSEMA) system based on digital twin, which can accurately evaluate the state of wind turbines, detect faults in the early stage, and provide useful information or warnings to operators and help them to efficiently arrange maintenance tasks. In addition, this article introduces the concept of sub-healthy state of wind turbines, which is very useful for designing the iSEMA system. Experimental results demonstrate that the proposed system can assess the state of wind turbines accurately and provide timely feedback.","url":"https://doi.org/10.20935/acadeng7391","authors":["Guoliang Wang","Hua-Liang Wei","Zhao-Hua Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-28T18:05:27Z","doi":"10.20935/acadeng7391","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394303564.ch6","name":"Optimized CNN Learning Model With Multi‐Threading for Forgery Feature Detection in Real‐Time Streaming Approaches","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch6","authors":["Sneha Venkateshalu","Santosh Deshpande"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch6","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icetci62771.2024.10704196","name":"Digital Twin of a 5-Bar Parallel Manipulator with Singularity Avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icetci62771.2024.10704196","authors":["M. Rampratheep Reddy","N. Bhargav","Mudassir Ahmed","Y. Devasish","Anjan Kumar Dash"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-08T17:35:04Z","doi":"10.1109/icetci62771.2024.10704196","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394303564.ch18","name":"Deep Learning‐Based Traffic Sign Detection and Recognition for Autonomous Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch18","authors":["Murali Krishnan Mani","Sonaa Rajagopal","D. Kavitha","Saravanabalagi Ramachandran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch18","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/isse61612.2024.10603988","name":"Distributed System Using Synthetic Data of Lithium-ion Battery Digital Twin for Battery Diagnosis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isse61612.2024.10603988","authors":["Eliza Maria Olariu","Adelina Ioana Ilies","Horia Hedesiu","Gabriel Chindris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T17:28:39Z","doi":"10.1109/isse61612.2024.10603988","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/ice/itmc61926.2024.10794253","name":"Towards a Digital Twin for Sustainable Asset Management of IoT Devices in Smart Buildings","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ice/itmc61926.2024.10794253","authors":["Chukwunonye Okolo","Noah Schmieder","Michael Hellwig","Eugen Rigger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-18T19:25:41Z","doi":"10.1109/ice/itmc61926.2024.10794253","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.64972/dea.2024.v4i2.15","name":"Harnessing Data Engineering for Intelligent Manufacturing: Digital Twin–Algorithm Fusion and Applications","source":"crossref","abstract":"With the advancement of Industry 4.0, intelligent manufacturing has become an inevitable trend in the development of the manufacturing sector. The integration of digital twins and intelligent algorithms offers new avenues for optimizing smart manufacturing systems. This paper first elucidates the background and significance of this integration, analyzing its importance and potential value in optimizing smart manufacturing systems. It then explores the concepts and reference architectures of digital twins and smart manufacturing optimization, including conceptual evolution and reference architecture composition. It then elaborates on key technological systems such as data-driven modeling, multimodal perception, real-time synchronization, intelligent decision-making, distributed computing, and security detection. The paper examines the application of digital twin-intelligent algorithm integration in discrete production lines, process manufacturing, major equipment manufacturing, and collaborative robot clusters, analyzes current challenges and bottlenecks, and concludes with an outlook on future development trends.","url":"https://doi.org/10.64972/dea.2024.v4i2.15","authors":["Giorgos Papadopoulos","Sofia Dimitriou","Despina Makris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T15:10:33Z","doi":"10.64972/dea.2024.v4i2.15","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/scm62608.2024.10554148","name":"Designing a Digital Twin in Oil and Gas Technologies: Technology Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/scm62608.2024.10554148","authors":["Pavel A. Mal’Tsev","Natal’Ya A. Shatilova","Sergej E. Abramkin","Maria E. Podkina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-17T17:57:36Z","doi":"10.1109/scm62608.2024.10554148","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.53106/199115992024023501014","name":"Design of Data Monitoring System for Intelligent Production Line System Based on Digital Twin","source":"crossref","abstract":"&lt;p&gt;This article establishes a digital twin model for automated production lines. By establishing a more complete digital model, it achieves comprehensive reproduction of the production line, and then extracts and maps data from various production modules in the digital twin to ensure real-time data. In the software development phase, data analysis is conducted on the production and processing process to achieve prediction and management of production. Finally, based on the established digital twin, online simulation virtual debugging can be achieved when flexibly changing production goals, thereby saving production cycles and costs. Therefore, the digital twin platform established in this article has practical significance.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;","url":"https://doi.org/10.53106/199115992024023501014","authors":["Rui Fan Rui Fan","Wei-Min Liu Rui Fan","Jian-Fang Xue Wei-Min Liu","Qing-Chuan Liu Jian-Fang Xue","Xiao-Yang Zhang Qing-Chuan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-27T01:53:38Z","doi":"10.53106/199115992024023501014","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003473886-13","name":"Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003473886-13","authors":["Vijayakumar Ponnusamy","Dilliraj Ekambaram","Nemanja Zdravkovic"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-19T17:19:33Z","doi":"10.1201/9781003473886-13","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/mic.2024.3406188","name":"Digital-Twin-Driven Deception Platform: Vision and Way Forward","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mic.2024.3406188","authors":["Sabah Suhail","Mubashar Iqbal","Kieran McLaughlin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-07T17:29:11Z","doi":"10.1109/mic.2024.3406188","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.4848556","name":"Modelling a Process Shop Floor Digital Twin in Smart Manufacturing: A Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4848556","authors":["Francesco Otello Buccoliero","angelo corallo","anna maria crespino","vito del vecchio","Marianna Lezzi","alessandra spennato"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T11:34:56Z","doi":"10.2139/ssrn.4848556","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/ieeeconf60226.2024.10496776","name":"Simulation of the Digital Twin of the Technological Process of Creating a Demonstrator Using R-Pro Digital","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeeconf60226.2024.10496776","authors":["V. A. Smolnikov","L. I. Voronova","V. I. Voronov","S. A. Rozhkov","V. M. Petukhov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T17:17:39Z","doi":"10.1109/ieeeconf60226.2024.10496776","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.5194/egusphere-egu24-14673","name":"Tsunami Digital Twin &amp;#8211; Concept, Progress, and Application to the 2024 Noto Peninsula Earthquake Tsunami Disaster, Japan","source":"crossref","abstract":"The digital twin is recognized as digital copies of the physical world's objects stored in digital(cyber) space and utilized to simulate the sequences and consequences of target phenomena. Users can fully view the target through real-time feedback by incorporating the physical world's data into the digital twin. Given the importance of the digital twin, the authors propose \"Tsunami Digital Twin (TDT)\" as a new paradigm in tsunami science and engineering to enhance tsunami disaster resilience.The components of TDT are the transformation from \"Data\" to \"Information\" by integrating sensing, monitoring, and simulation; \"Interpretation\" of data and information; and \"Inference\" by using available data and information to draw conclusions and consequences and decide policies and responses for social resilience. Fusing these components is the key to gaining knowledge and insight for optimal solutions in the physical world.In the session, the authors focus on two functionalities of TDT: Real-time tsunami modeling and forecast capability and Dynamic exposure estimation to verify through the 2024 Noto Peninsula Earthquake Tsunami Disaster.The rapid tsunami hazard assessment by real-time tsunami modeling implied that severe impacts were expected around Noto Peninsula (Shika to Nanao), and the directivity of tsunami energy was also toward the Japan sea coasts, especially Joetsu city, Niigata Prefecture. We also found that the specific bathymetric features (continental shelf of Noto Peninsula) are responsible for high tsunamis in Suzu city.The exposure analysis was performed using Mobile Spatial Statistics (the population estimates using mobile phone data) to elucidate population change after the earthquake by elevation (tsunami affected or not).","url":"https://doi.org/10.5194/egusphere-egu24-14673","authors":["Shunichi Koshimura","Bruno Adriano","Erick Mas","Shohei Nagata","Yuriko Takeda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-09T02:09:04Z","doi":"10.5194/egusphere-egu24-14673","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.5054710","name":"A Lightweight Advanced Digital Process Twin Iiot Framework with Open62541 Enabled Opc Ua Protocol for Cnc Machining","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5054710","authors":["Arivazhagan Anbalagan","Waqir  Yusuf Zanhar","Shone George","Marcos Kauffman","Tengfei Long"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-13T17:37:15Z","doi":"10.2139/ssrn.5054710","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003469612-8","name":"Using Improved Finite Element Modeling to Combat Cardiovascular Disease","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-8","authors":["V. Sheeja Kumari","T. Manikandan","A. Selva Kumar","S. Ponmaniraj","K. Prabu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-8","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/iccworkshops67674.2025.11162236","name":"Fire Twin: Digital Twin-assisted UAV Surveillance for Efficient Forest Fire Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops67674.2025.11162236","authors":["Sultan Çoğay","Gokhan Secinti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-22T17:42:25Z","doi":"10.1109/iccworkshops67674.2025.11162236","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1088/1742-6596/2816/1/012023","name":"Digital twin for subcritical extraction driven by data-mechanism fusion","source":"crossref","abstract":"Abstract Addressing the key issue of low automation in the production process due to the complex associations involved in sub-critical extraction, this study focuses on sub-critical extraction as the subject matter. It integrates data models with mechanism models to construct a multidimensional digital twin model and conduct systematic research. By combining simulation methods with real-time experimental data, the study establishes multilevel machine characteristics of data, behavior, and mechanisms, and identifies data patterns. From the perspectives of the physical production line, virtual production line, and data transmission, it builds an interactive mapping platform for multi-source data and carries out corresponding application research.","url":"https://doi.org/10.1088/1742-6596/2816/1/012023","authors":["Yuhang Yan","Huibing Zhang","Fang Pan","Fei Jai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-12T11:36:29Z","doi":"10.1088/1742-6596/2816/1/012023","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/iecon55916.2024.10905976","name":"A Digital Twin Modeling Code Generation Framework based on Large Language Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iecon55916.2024.10905976","authors":["Jiabao Dong","Lei Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-10T17:32:07Z","doi":"10.1109/iecon55916.2024.10905976","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.rcim.2023.102632","name":"Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102632","authors":["Dongjun Kim","Minho Choi","Jumyung Um"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-31T01:40:56Z","doi":"10.1016/j.rcim.2023.102632","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/sest61601.2024.10693980","name":"Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sest61601.2024.10693980","authors":["Costas Mylonas","Titos Georgoulakis","Magda Foti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-04T17:31:44Z","doi":"10.1109/sest61601.2024.10693980","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/case59546.2024.10711534","name":"Digital Twin-driven Automatic Response Analysis for Demolition Safety","source":"crossref","abstract":"","url":"https://doi.org/10.1109/case59546.2024.10711534","authors":["Zhengxu Zhu","Shuxuan Zhao","Xinyue Guo","Ray Y. Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-23T17:40:16Z","doi":"10.1109/case59546.2024.10711534","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1049/icp.2024.0838","name":"SENDIT: a satellite network routing digital twin solution for mega-constellations","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2024.0838","authors":["Hauke Buhr","Marius Corici","Zhou Long","Thomas Magedanz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-12T10:48:08Z","doi":"10.1049/icp.2024.0838","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394303564.ch12","name":"Blockchain‐Enabled Internet of Things (IoTs) Platforms for Vehicle Sensing and Transportation Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch12","authors":["Amit Kumar Tyagi","Shrikant Tiwari","Kanchan Naithani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch12","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/bigdata62323.2024.10825075","name":"Smart City Digital Twin Platform Architecture for Mobility and Transport Decision Support Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bigdata62323.2024.10825075","authors":["Pierfrancesco Bellini","Enrico Collini","Marco Fanfani","Luciano A. Ipsaro Palesi","Paolo Nesi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T18:31:23Z","doi":"10.1109/bigdata62323.2024.10825075","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.67228/30716357/ijmrse-2024pi6g7a","name":"AI-Driven Digital Twin Framework for Smart Industrial Process Optimization","source":"crossref","abstract":"Industry 4.0 has accelerated intelligent manufacturing through AI, IIoT, cloud-edge computing, and Digital Twin technologies. This study proposes an AI-driven Digital Twin framework that integrates real-time sensing, machine learning, deep learning, and predictive analytics for intelligent process monitoring, predictive maintenance, anomaly detection, energy optimization, and autonomous decision-making. The framework enables continuous synchronization between physical assets and their digital counterparts, supporting closed-loop optimization with low-latency edge computing and cloud-based analytics. Reinforcement learning further improves production efficiency, equipment reliability, and resource utilization while reducing downtime and operational costs. Applicable across multiple industrial sectors, the framework also addresses interoperability, cybersecurity, and data governance challenges, providing a scalable foundation for sustainable and human-centric Industry 5.0 manufacturing systems.","url":"https://doi.org/10.67228/30716357/ijmrse-2024pi6g7a","authors":["Geetha Ramasamy","Harish Patel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T05:16:13Z","doi":"10.67228/30716357/ijmrse-2024pi6g7a","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.22266/ijies2024.1031.39","name":"A Novel Digital Twin Framework for Adaptive Urban Weather Visualization Using IoT and Fuzzy Logic","source":"crossref","abstract":"","url":"https://doi.org/10.22266/ijies2024.1031.39","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-19T05:48:37Z","doi":"10.22266/ijies2024.1031.39","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1115/1.4065714","name":"Digital Twin Implementation for Three-Dimensional Rotordynamic Response via Physics-Informed LSTM Neural Networks","source":"crossref","abstract":"Abstract The rotating assemblies of critical machinery are complex dynamical systems and rotordynamic model response prediction inaccuracy risks machinery failure leading to high production losses. Jeffcott, Euler beam, and high-fidelity 3D solid finite element models are frequently utilized for rotordynamic analyses. Even though the 3D rotor has the higher accuracy, beam models are still widely used in industrial applications. To improve prediction accuracy of the lower-fidelity Jeffcott and beam models, a rotordynamics physics-informed neural network (R-PINN) is proposed. This models physics-informed long short-term memory (LSTM) neural networks that utilize partial or limited measured data, by incorporating physical laws. This approach enables the creation of a Digital Twin, which can produce additional data and help remove noise and outliers. In the current study, two R-PINNs are introduced to validate the superior capability of the model for both low- and high-fidelity physics. Random noise of 10% is introduced into the measured data produced by the Digital Twin to replicate real-world noisy measurements. The result shows that both low- and high-fidelity physics R-PINNs can achieve high accuracy even with high noise data, thereby increasing the robustness of the model. The results clearly demonstrate the ability of the proposed R-PINN algorithm to enhance an Euler beam model's predicted response to the level of accuracy of a 3D solid element model's predicted response, the latter acting as a surrogate for test measurements in an actual application.","url":"https://doi.org/10.1115/1.4065714","authors":["Jongin Yang","Joseph Oh","Baik Jin Kim","Alan Palazzolo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T07:58:51Z","doi":"10.1115/1.4065714","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.ijengsci.2024.104120","name":"A digital-twin for rapid simulation of modular Direct Air Capture systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijengsci.2024.104120","authors":["T.I. Zohdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-08T14:40:14Z","doi":"10.1016/j.ijengsci.2024.104120","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/dtpi61353.2024.10778897","name":"Set up a digital-twin diagnostic model with deep learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi61353.2024.10778897","authors":["Yijiao Liu","Mingying Huo","Long He","Ming Li","Yufeng Xue","Naiming Qi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:06:15Z","doi":"10.1109/dtpi61353.2024.10778897","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.2139/ssrn.7234305","name":"A Declared Readout-Interface Model for GNSS-Conditioned Digital-Twin Measurement States: Device-to-Twin Reported-Object Identity with an Optional Scalar Runtime Summary","source":"crossref","abstract":"A preceding declared readout-map model showed how a machine-actionable measurement report must retain its input object, transformation sequence, declared parameters, uncertainty route, output object, and implementation record. This paper takes the next step: it asks how an already conditioned device-side measurement report becomes a state consumed by a receiving digital twin. The missing connection is formulated as a declared readout interface R_DT, not as a new GNSS correction or coordinate-transformation algorithm.The interface declares source and target object classes, coordinate and time conventions, ordered transformations, parameter versions, uncertainty pushforward, output identity, and an audit record. Compatibility is classified as same-interface, verified equivalent, bridge-convertible, or non-connectable. Four diagnostics isolate target-frame, latency, uncertainty-semantic, and object-ID mismatches.A reproducible benchmark and five-record timestamped log replay map a GNSS-conditioned local state from (E, N, U) = (1.374 m, 1.112 m, 1.200 m) to (1.470 m, 1.144 m, 1.200 m) under the full interface. Omitting the declared 80 ms latency route produces a constant 0.101 m horizontal mismatch across the replay. An optional scalar timing summary kappa = 1 + alpha is retained only as a subordinate runtime representation and is explicitly shown not to establish full digital-twin state identity. The accompanying JSON schema, interface instances, reference script, results, and SHA-256 audit record make the benchmark machine-actionable and reproducible.","url":"https://doi.org/10.2139/ssrn.7234305","authors":["ATSUSHI OTSUKA"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-04T23:44:01Z","doi":"10.2139/ssrn.7234305","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.18690/um.fov.4.2024.3","name":"Smart Governance Challenges in Indonesian Local Government","source":"crossref","abstract":"This research examines the critical role of digital government evolution in enhancing the performance of local governments through smart governance concepts. Focusing on Indonesia's transformative journey, the research highlights the government's adoption of the Electronic-based Government System (SPBE) to tackle inefficiencies, bureaucratic hurdles, and corruption. Jambi City, actively participating in the 100 Smart City Movement, is investigated as a specific case study on smart governance dimension. Employing qualitative methods, the research aims to uncover insights into the challenges of digital transformation at the local level. Despite facing regulatory barriers and resource constraints, the study identifies opportunities for success, particularly through stakeholder collaboration and public-private partnerships. This research carries substantial implications for policymakers, practitioners, and academics interested in the intersection of technology and government in developing nations.","url":"https://doi.org/10.18690/um.fov.4.2024.3","authors":["Rio Yusri Maulana","Usman Marjamat","Dimas Subekti","Moh Arief Rakhman","Alva Beriansyah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.3","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.25236/ijnde.2024.061013","name":"Exploration of the Application of Digital Twin Technology in Engineering Teaching under the Background of Digital Information—Taking the Professional Course of Materials Forming and Control Engineering at Hefei University of Technology as an Example","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ijnde.2024.061013","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T07:05:49Z","doi":"10.25236/ijnde.2024.061013","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/smc54092.2024.10831900","name":"Utility-Based Task Offloading and Resource Allocation for Digital Twin-Assisted Edge Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smc54092.2024.10831900","authors":["Tong Yin","Xin Chen","Libo Jiao","Aobo Cao","Xin Dai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:39:20Z","doi":"10.1109/smc54092.2024.10831900","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-662-66217-5_15","name":"Digital Twin as a Service","source":"crossref","abstract":"Zusammenfassung Im mechatronischen Entwicklungsprozess des Maschinen- und Anlagenbaus entstehen Digitale Zwillinge, die zur Entwicklungsunterstützung und Virtuellen Inbetriebnahme von Steuerungssoftware sowie -hardware eingesetzt werden. Jedoch werden die Digitalen Zwillinge über den Entwicklungsprozess hinaus bislang kaum einer systematischen Weiterverwendung zugeführt. Dies ist auf die hohen Anforderungen einer standort- und endgeräteunabhängigen Verfügbarkeit und Vernetzungsfähigkeit der Digitalen Zwillinge zurückzuführen. Paradigmen der Cloud- und Webtechnologien bieten in diesen Anforderungsfeldern Lösungen an, die neue Anwendungspotenziale eröffnen. In diesem Beitrag wird dazu das Konzept des Digital Twin as a Service präsentiert, das die Grundprinzipien der Cloud- und Webtechnologien auf die Anwendung und Bereitstellung von Digitalen Zwillingen überträgt.","url":"https://doi.org/10.1007/978-3-662-66217-5_15","authors":["Timm von Bergen","Marc Schnierle","Sascha Röck"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-01T20:02:09Z","doi":"10.1007/978-3-662-66217-5_15","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.23919/ondm61578.2024.10582759","name":"Using the OCATA Digital Twin to Improve QoT of Optical Connections in Multiband Optical Networks","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ondm61578.2024.10582759","authors":["Sadegh Ghasrizadeh","Prasunika Khare","Marc Ruiz","Luis Velasco"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T17:40:39Z","doi":"10.23919/ondm61578.2024.10582759","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icccworkshops62562.2024.10693733","name":"DT-GCN Based Digital Twin for 6G Self-Intelligent Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccworkshops62562.2024.10693733","authors":["Yanhong Zhu","Guangyi Liu","Na Li","Mancong Kang","Qingbi Zheng","Tianjiao Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-04T17:31:53Z","doi":"10.1109/icccworkshops62562.2024.10693733","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.procs.2024.11.107","name":"A Cloud-based Secure Architecture for Remote Patient Monitoring Integrating OPC UA and Human Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.11.107","authors":["Jolly Trivedi","Jouni Isoaho","Tahir Mohammad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-06T12:16:52Z","doi":"10.1016/j.procs.2024.11.107","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1201/9781003454571-5","name":"Digital Twin Framework for Monitoring, Controlling and Diagnosis of Photovoltaic DC Microgrids","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003454571-5","authors":["Ana Cabrera-Tobar","Giovanni Spagnuolo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-09T10:01:45Z","doi":"10.1201/9781003454571-5","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3390/jmmp8030102","name":"Digital Twin Modeling for Smart Injection Molding","source":"crossref","abstract":"In traditional injection molding, each level of the process has its own monitoring and improvement initiatives. But in the upcoming industrial revolution, it is important to establish connections and communication among all stages, as changes in one stage might have an impact on others. To address this issue, digital twins (DTs) are introduced as virtual models that replicate the entire injection molding process. This paper focuses on the data and technology needed to build a DT model for injection molding. Each stage can have its own DT, which are integrated into a comprehensive model of the process. DTs enable the smart automation of production processes and data collection, reducing manual efforts in supervising and controlling production systems. However, implementing DTs is challenging and requires effort for conception and integration with the represented systems. To mitigate this, the current work presents a model for systematic knowledge-based engineering for the DTs of injection molding. This model includes fault detection systems, 3D printing, and system integration to automate development activities. Based on knowledge engineering, data analysis, and data mapping, the proposed DT model allows fault detection, prognostic maintenance, and predictive manufacturing.","url":"https://doi.org/10.3390/jmmp8030102","authors":["Sara Nasiri","Mohammad Reza Khosravani","Tamara Reinicke","Jivka Ovtcharova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-17T06:53:49Z","doi":"10.3390/jmmp8030102","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.47611/jsrhs.v13i3.7392","name":"Real-time virtual reality visualization and control for digital twin applications in Industry 4.0","source":"crossref","abstract":"The Fourth Industrial Revolution (Industry 4.0) aims to transform manufacturing processes through the use of technologies like the internet of things, cyber-physical systems, and artificial intelligence. Digital twins -virtual replicas of physical systems- emerged as powerful tools for monitoring, optimizing, and controlling Industry 4.0 operations. This paper explores applying virtual reality (VR) technology for real-time visualization and control of digital twin applications in Industry 4.0 cyber manufacturing environments. I present the development and implementation of a VR twin environment for interacting and controlling of a 3D printer. The system features a custom Unity 3D software architecture with VR libraries, providing a realistic low-latency experience for navigating and visualizing real-time data such as pressure charts, live video feeds, and position data of 3D printer head. It also enables interacting with physical machines via their virtual counterparts, such as using a virtual on-off switch for the 3D printer. Through evaluation of hardware selection and software design decisions, the paper contributes novel insights into the use of VR twins in Industry 4.0 applications. It also explores integration of generative AI with the VR twin, which opens novel research directions for predictive simulations, what-if analyses, and intelligent decision support systems.","url":"https://doi.org/10.47611/jsrhs.v13i3.7392","authors":["Ahmet Demirbas","Wenyao Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-25T19:37:02Z","doi":"10.47611/jsrhs.v13i3.7392","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-71707-9_36","name":"An Evaluation Method for Digital Twin Development Platforms","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-71707-9_36","authors":["José Monteiro","João Barata"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T17:03:39Z","doi":"10.1007/978-3-031-71707-9_36","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.jprocont.2024.103261","name":"Monitoring the operating state of crystal growth process based on digital twin model","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jprocont.2024.103261","authors":["Yu-Yu Liu","Ling-Xia Mu","Ding Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-19T07:47:14Z","doi":"10.1016/j.jprocont.2024.103261","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1088/2631-8695/ad301c","name":"Gas turbine aero engine fault detection using Geo-TLSVM and digital twin with multimodal data analysis","source":"crossref","abstract":"Abstract DT is the digital representation of physical systems to simulate real situations in a digital version. Here, the DT of the GaT-AE is created for the Fault Detection (FD) process. The GaT is a type of internal combustion engine that uses the air as the working fluid to propel the flight. However, the incorporation of big data analysis in the DT model is challenging in previous works. So, a multimodal GaT-AE fault identification system is proposed. First, the 3D print of the GaT-AE is created. Then, the data is collected from both built-in sensors and DT. Afterward, the multimodal data is pre-processed and balanced by using HT-QNN and QADASYN, respectively. Next, the features are processed by GT-PFS, and finally, the faults are detected by Geo-TLSVM. The analysis proved that the developed model outperformed the other state-of-the-art model with its effective FD rate of 97.24%.","url":"https://doi.org/10.1088/2631-8695/ad301c","authors":["Naga Venkata Rama Subbarao Tadepalli","Ramji Koona"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-04T22:41:40Z","doi":"10.1088/2631-8695/ad301c","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.scs.2024.105798","name":"Urban digital twin-based solution using geospatial information for solid waste management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scs.2024.105798","authors":["Iván Cárdenas-León","Mila Koeva","Pirouz Nourian","Calayde Davey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-17T22:08:01Z","doi":"10.1016/j.scs.2024.105798","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1007/978-3-031-70992-0_11","name":"Understanding the Role of Digital Twin in Business Process Improvement","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-70992-0_11","authors":["Ahmed Amine Assaad","Rajaa Saidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T12:32:46Z","doi":"10.1007/978-3-031-70992-0_11","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/isse63315.2024.10741137","name":"Leveraging Aerospace Industry Digital Transformation: Bridging the gap from MBSE to MBD with Digital Twin Simulation for Mechatronic Systems Requirements Early Validation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isse63315.2024.10741137","authors":["Imane Bouhali","Vincent Idasiak","Jacques Martinez","Faida Mhenni","Jean-Yves Choley","Luca Palladino","Frederic Kratz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-06T18:37:54Z","doi":"10.1109/isse63315.2024.10741137","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/dtpi61353.2024.10778770","name":"Digital Twin Technology and Applications in the Medical Field: Bridging the Virtual for Precision Medicine","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi61353.2024.10778770","authors":["Siyi Chen","Peng Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:06:15Z","doi":"10.1109/dtpi61353.2024.10778770","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1080/27525783.2025.2507007","name":"Digital-twin-based dynamic flexible job shop scheduling problem via multi-agent proximal policy optimisation","source":"openalex","abstract":"Despite advancements in optimisation techniques, existing flexible job shop problem (FJSP) models are reactive and struggle with dynamic scheduling. Digital twin (DT) technology offers a solution. This study integrates DT with deep reinforcement learning (DRL) for proactive dynamic scheduling. A digital twin-based framework with multi-agent proximal policy optimisation (PPO) was used to adapt scheduling strategies in real-time. The virtual environment simulates production, predicts disruptions, and enables proactive adjustment. The dynamic flexible job shop problem (DFJSP) is modelled as a Markov decision process (MDP) with agents introduced to optimise decisions using DRL. The state and action spaces for the machine and job agents were designed to capture the real-time states. The reward function combines global (makespan) and local (machine utilisation) rewards. Multi-agent PPO trains agents in a virtual environment based on DT interactions. Experiments show that the method outperforms traditional rules and genetic algorithms, particularly in large-scale problems. Additionally, a real-world case study proved its effectiveness in managing machine failures and ensuring on-time completion with minimal deviation in dynamic and uncertain environments.","url":"https://doi.org/10.1080/27525783.2025.2507007","authors":["Minghai Yuan","Zhen Zhang","Kefu Mao","Yang Ye","Fengque Pei","Ye Yang"],"tags":["Job shop scheduling","Computer science","Scheduling (production processes)","Flow shop scheduling","Job shop"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-03","doi":"10.1080/27525783.2025.2507007","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1149/ma2024-012508mtgabs","name":"Diagnosing NMC Battery Aging Modes Using Digital Twin","source":"crossref","abstract":"Traditional lithium-ion battery (LiB) modeling does not provide sufficient information to accurately verify battery performance under real-time dynamic operating conditions, particularly when considering various aging modes and mechanisms. This paper proposes a lithium-ion battery digital twin that can capture real-time data and integrate the strong coupling between SEI layer growth, anode crack propagation, drying up of Electrolytes, and lithium plating. It can be utilized to predict the degradation behavior, voltage-current profiles in dynamic aging conditions, and analyze the lithium inventory loss (LLI) of Nickel-Manganese-Cobalt-Oxide (NMC) lithium-ion batteries. Commercially available 18650 cylindrical NMC Samsung battery cells were investigated. The cathode and anode materials are LiNi0.5Co0.2Mn0.3O2 and synthetic graphite, respectively. Four dynamic aging test cases using 1C, 1.3C, MC (multistep charging), and 2C, were designed and performed at 25 °C. The reference performance test (RPT) was repeated every 100 full equivalent cycles (FECs) until the cells reached 20 % capacity fade. Figure 1 shows the real-time voltage and current profile captured and predicted by the digital twin. The model takes into account LLI induced by SEI growth and lithium plating, aligning with the LLI calibrated from the differential voltage (DV) endpoint shift (Figure 1h). Based on the model results, SEI growth is found to be the primary contributor to capacity loss before 500 FECs. SEI-induced degradation is minimal under the MC protocol, with the capacity loss varying by less than 5.22% across four test cases (Figure 1e). After 500 FECs, anode cracking becomes a non-linear accelerated aging factor. The crack propagation stabilizes in the initial 200 FECs, followed by unstable accelerated growth leading to capacity loss. Subsequently, a rapid acceleration in capacity loss occurs after 700 FECs (Figure 1f). The growth of anode cracks under the MC aging protocol has a much slower effect on capacity loss compared to the 2C and 1.3C before 500 FECs, as strongly confirmed by the post-mortem analysis. In addition, the lithium plating phenomenon triggers two orders of magnitude less capacity loss than SEI growth and cracking at 25 °C. The MC protocol demonstrates an effective reduction in lithium plating capacity loss compared to the other three traditional charging protocols (Figure 1g). This digital twin can represent a firm physical foundation for future physics-informed machine learning development to predict LiBs degradation behavior. Figure 1. Real-time voltage and current captured and predicted by our designed digital twin under (a) 1C-WLTC, (b)1.3C-WLTC, (c) MC-WLTC, and (d) 2C-WLTC aging profiles. Additionally, (f) illustrates capacity loss density for the four protocols attributed to (e) SEI film growth, (f) anode crack propagation, (g) Li plating, and (h) LLI prediction by the digital twin and DV measurement. Figure 1","url":"https://doi.org/10.1149/ma2024-012508mtgabs","authors":["Wendi Guo","Yaqi Li","Zhongchao Sun","Søren Byg Vilsen","Changfu Zou","Daniel Ioan Stroe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-19T15:07:15Z","doi":"10.1149/ma2024-012508mtgabs","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/uv63228.2024.11189197","name":"Research and Development of Digital Twin System for Deep In-situ Fidelity Coring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uv63228.2024.11189197","authors":["Yue Zhong","Ling Chen","Zexiang Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-14T17:38:10Z","doi":"10.1109/uv63228.2024.11189197","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.solener.2024.112561","name":"Digital Twin for mitigating solar energy resources challenges: A Perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.solener.2024.112561","authors":["Abdollah Kavousi-Fard","Morteza Dabbaghjamanesh","Mina Jafari","Mahmud Fotuhi-Firuzabad","Zhao Yang Dong","Tao Jin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T05:17:44Z","doi":"10.1016/j.solener.2024.112561","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.5194/egusphere-egu26-20253","name":"Progress of the Twin-ER project: pilot digital twin for earthquake risk","source":"crossref","abstract":"We present the progress of the project Twin-ER: Pilot Digital Twin for Earthquake Risk. The goal of the project is the integration of digital models of the city and the Earth into the structure of a digital twin, focused on seismic risk.The Earth model includes the generation of new seismic source models based on maps correlating surface deformation and seismic activity rates. Deformation maps will be determined through the analysis of GNSS time series and InSAR images for several dates. Seismic activity rates will be calculated by combining statistical analyses of the seismic catalog with mechanical analyses of earthquake-related stress changes in the crust. The derived maps will show location-, magnitude-, and time-dependent activity rates. Seismic source models will form the basis for the development of seismic hazard maps and constitute the main component of the Earth model.The city model integrates innovative exposure models based on Cadastral data, enhanced with machine learning and deep learning algorithms to identify building typologies and their seismic vulnerability. These analyses will incorporate data of different nature, such as cadastral reference value or exposure time to high temperatures, with the aim of extending the exposure to a multi-hazard and multi-risk context. The exposure and vulnerability models constitute the main component of the city model.By combining seismic hazard models on one hand, and exposure and vulnerability models on the other, the seismic risk model will be obtained. This model represents the expected damage and losses in a city in the event of an earthquake. Therefore, it is a crucial piece of information for proposing risk mitigation measures and planning emergency response.Both Earth and city models are embebed into the digital twin seismic risk. This digital twin is conceived in a pilot phase. The model will be fed with the results of risk simulations, which can be visualized in a web environment, leaving aspects of data loading automation from updated sensors or external servers and subsequent simulations with that updated data for future developments.The project is applied in two study areas of similar size but different, complementary characteristics. One is southeastern Spain, where (1) seismic activity is moderate, and major earthquakes occur rarely, (2) cities have a relatively old building stock and are more vulnerable to earthquakes, and (3) the availability and accessibility to cadastral data are optimal. The other study area is El Salvador, where (1) there is high seismic activity with frequent large earthquakes, (2) cities have a relatively modern building stock with abundant informal construction, and (3) there is no free access to cadastral data. The advances presented here include the UML model of the entire digital twin, the seismic activity and deformation maps in SE Spain, and the city 3D models of two scenarios of application.","url":"https://doi.org/10.5194/egusphere-egu26-20253","authors":["Alejandra Staller","Jorge Gaspar-Escribano","Yolanda Torres","Sandra Martínez-Cuevas","José Juan Arranz","César García-Aranda","Teresa Iturrioz","José Luis García Pallero"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T04:55:57Z","doi":"10.5194/egusphere-egu26-20253","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.3233/shti240768","name":"HeXEHRS: FHIR-Based Cloud EHR Services to Support Healthcare in Depopulated Areas Driven by Digital Twin","source":"crossref","abstract":"HeXEHRS is a FHIR-based cloud EHR service designed to support healthcare in depopulated areas, powered by digital twin technology. Its core functionalities encompass standard EHR tasks including data exchange for healthcare processes. In the first year of this national project, we present the design and define the functionalities of the system.","url":"https://doi.org/10.3233/shti240768","authors":["Tomohiro Sawa","Ryota Sakurai","Kazuhiko Ohe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-23T10:40:25Z","doi":"10.3233/shti240768","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3390/rs16163023","name":"Digital Twin of Space Environment: Development, Challenges, Applications, and Future Outlook","source":"crossref","abstract":"This paper explores and discusses the revolutionary applications of digital twin technology in space environments and its profound impact on future space exploration activities. Originating from a proposal by the National Aeronautics and Space Administration (NASA) in 2002, digital twin technology aims to enhance the safety and reliability of space missions by creating precise virtual models. As the technology has evolved, its applications have successfully expanded beyond aerospace to include Industry 4.0, healthcare, and urban management, demonstrating remarkable cross-industry adaptability and broad impact. In space applications, digital twin technology can not only improve spacecraft design and maintenance processes but also enhance the efficiency of mission planning and execution. It plays a crucial role in astronaut training and emergency response as well. Particularly in extreme space conditions, this technology provides real-time monitoring and fault prediction, significantly enhancing mission safety and success rates. However, despite its recognized potential, the implementation of digital twins in space environments faces numerous challenges, including data transmission delays, model accuracy, and the design of user–system interactions. In the future, as artificial intelligence (AI) and machine learning (ML) technologies become mature and integrated, the digital twin will play a more central role in space missions, especially in remote operations, complex system management, and deep space exploration. This article is to overview key technical features, application examples, and challenges of digital twin technology, aiming to provide a comprehensive reference framework for researchers and developers while inspiring further in-depth studies and innovative applications.","url":"https://doi.org/10.3390/rs16163023","authors":["Wei Liu","Mengwei Wu","Gang Wan","Minyi Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-19T05:19:36Z","doi":"10.3390/rs16163023","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.3233/shti240551","name":"Design of a Digital Twin of the Heart for the Management of Heart Failure Patients","source":"crossref","abstract":"Heart failure poses a significant global health burden with high prevalence and mortality rates. A promising possibility in this context is the constant monitoring of the patients through telemedicine. The aim of this work is to present a digital twin of a patient at risk of heart failure. Applying machine learning to the recorded data of the patient, the system is able to early detect potential issues and improve the outcome.","url":"https://doi.org/10.3233/shti240551","authors":["Andrea Scotto","Noemi Giordano","Samanta Rosati","Gabriella Balestra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-23T09:47:29Z","doi":"10.3233/shti240551","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1093/occmed/kqae023.0675","name":"P-158 5P MEDICINE: A DIGITAL TWIN MODEL FOR HOSPITAL-BASED OCCUPATIONAL MEDICINE","source":"crossref","abstract":"Abstract Introduction Musculoskeletal disorders (MSDs) are a major health problem among dentists. The application of “Digital-Twin” (DT) in the field of occupational medicine can bring significant benefits in terms of safety, health, and process efficiency. The aim is to create a DT model of dentists in silico, which will serve as an accurate virtual representation of occupational hazards incurred during routine dental procedures. Methods and results This is a digital modeling study of bio-mechanical patterns in dentists at the Monastir dental clinic, conducted in 2023 at the occupational medicine and pathology department. Information concerning medical history, clinics, work activity data, and bio-mechanical and environmental data were collected during medical visits and observations carried out in real-time activity and through a dental work simulation. An analysis of the dentist’s movements and bio-mechanical constraints was performed. We chose root canal treatment in endodontics as an example to initiate our modeling. Discussion The medical “digital twin” of dentists with MSDs is a digital representation of specific health status, focusing on aspects related to musculoskeletal disorders. It is a specialized application of the “digital twin” concept in the context of health problems related to the musculoskeletal system. Conclusion This study provides a digital decision-support tool for the prevention of MSDs in the workplace. This innovative approach can help preventionists, particularly occupational physicians, to improve working conditions, and promote the health and well-being of workers while optimizing their productivity.","url":"https://doi.org/10.1093/occmed/kqae023.0675","authors":["Amen Moussa","Mohamed Marouen Hayouni","Ines Rassas","Irtyah Merchaoui","Charfeddine Amri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-05T16:00:39Z","doi":"10.1093/occmed/kqae023.0675","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/pimrc59610.2024.10817423","name":"Digital Twin Networks for Sustainable In-network Computing in Future 6G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pimrc59610.2024.10817423","authors":["Marco Becattini","Giovanni Fontani","Leonardo Paroli","Antonio Iera"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-01T19:22:36Z","doi":"10.1109/pimrc59610.2024.10817423","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.aei.2022.101706","name":"From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2022.101706","authors":["Wenjie Jia","Wei Wang","Zhenzu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-02T06:12:17Z","doi":"10.1016/j.aei.2022.101706","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.procir.2024.10.168","name":"Setting the Stage for Agents’ Cooperation: Digital Twin Family as Framework for Systems Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.10.168","authors":["Sebastian Häberer","Chenghao Dai","Marc Kujath","Tobias Kutzler","Melanie Rentzsch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-27T13:50:42Z","doi":"10.1016/j.procir.2024.10.168","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/iiotbdsc64371.2024.00023","name":"Digital Twin-Based Safety Monitoring and Evaluation System for the Datengxia Water Control Hub Project","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iiotbdsc64371.2024.00023","authors":["Bin Liu","Qibin Liang","Jiali Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-14T18:24:26Z","doi":"10.1109/iiotbdsc64371.2024.00023","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icoin59985.2024.10572128","name":"Digital Twin-Based Transfer Learning for Collaborative Robot Systems: A Proof of Concept","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoin59985.2024.10572128","authors":["Supat Roongpraiwan","Zongdian Li","Mohsen Pourghasemian","Haris Gacanin","Kei Sakaguchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-03T17:25:55Z","doi":"10.1109/icoin59985.2024.10572128","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/npsc61626.2024.10987002","name":"Grid Resilience Through Digital Twin and PMU Integration: A System Identification Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/npsc61626.2024.10987002","authors":["Neha Gupta","Aesha Kapadia","Aprajay Verma","K. Shanti Swarup","Sudipta Saha","Balvida Saikrishna Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-16T13:41:28Z","doi":"10.1109/npsc61626.2024.10987002","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.technovation.2024.103025","name":"How will the digital twin shape the future of industry 5.0?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.technovation.2024.103025","authors":["João Barata","Ina Kayser"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-03T21:14:25Z","doi":"10.1016/j.technovation.2024.103025","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.64751/ajaccm.2024.v4.n3.pp30-34","name":"DIGITAL TWIN–DRIVEN 6G CAMPUS NETWORKS: INTELLIGENT FAULT RECOVERY AND ENERGY OPTIMIZATION","source":"crossref","abstract":"This paper puts forward a framework for Digital Twin–driven 6G campus networks that are both private and autonomous and are supported by the convergence of agentic AI and Service Management and Orchestration (SMO) models to facilitate self-managing operations. The new network system uses the concept of digital twins for the purposes of intelligently forecasting faults and autonomously taking corrective actions thereby raising the reliability of the network to a very high level while the downtime is kept to a minimum. It moreover includes energy-environment-friendly self-optimization that is the dynamic scaling of resources to the extent that supersedes performance and efficiency. In addition, the framework allows for planning of the strategic “what-if” scenarios enabling the operators of the network to simulate the maintenance strategies, capacity increases, and traffic changes before putting them into practice. The findings of the simulation indicate that the method not only significantly enhances network resilience but also energy efficiency and operational foresight thus marking digital twin–backed 6G private networks as an important factor in the development of next-generation campus connectivity.","url":"https://doi.org/10.64751/ajaccm.2024.v4.n3.pp30-34","authors":["Bhaskara Raju Rallabandi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T15:02:36Z","doi":"10.64751/ajaccm.2024.v4.n3.pp30-34","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.procir.2024.03.014","name":"Supply Chain 4.0 and the Digital Twin Approach: A Framework for Improving Supply Chain Visibility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.03.014","authors":["Shehu Sani","Alireza Zarifnia","Konstantinos Salonitis","Jelena Milisavljevic-Syed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T11:54:33Z","doi":"10.1016/j.procir.2024.03.014","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.34925/eip.2024.168.7.172","name":"DIGITAL TWIN TECHNOLOGY: ESSENCE, SIGNIFICANCE, PROBLEMS OF IMPLEMENTATION AND MARKET PROSPECTS","source":"crossref","abstract":"В статье исследуется концепция технологии цифрового двойника, рассматривается ее сущность, значение, проблемы внедрения и перспективы на рынке. Анализируется важность цифровых двойников в различных отраслях экономики. The article explores the concept of digital twin technology, examines its essence, significance, problems of implementation and prospects in the market. The importance of digital twins in various sectors of the economy is analyzed.","url":"https://doi.org/10.34925/eip.2024.168.7.172","authors":["И.Б. ТЕСЛЕНКО","Н.В. МУРАВЬЕВА"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-30T14:00:22Z","doi":"10.34925/eip.2024.168.7.172","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/ipemc-ecceasia60879.2024.10567575","name":"Fault Diagnosis of PMSM Drives Based on Digital Twin Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ipemc-ecceasia60879.2024.10567575","authors":["Luhan Jin","Yao Mao","Xueqing Wang","Linlin Lu","Jincong Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T17:23:25Z","doi":"10.1109/ipemc-ecceasia60879.2024.10567575","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icccn61486.2024.10637565","name":"Digital Twin Continuum: a Key Enabler for Pervasive Cyber-Physical Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccn61486.2024.10637565","authors":["Antonello Barbone","Samuele Burattini","Matteo Martinelli","Marco Picone","Alessandro Ricci","Antonio Virdis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-22T17:55:28Z","doi":"10.1109/icccn61486.2024.10637565","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icds62420.2024.10751737","name":"DesignGemini: Achieving Highly Personalized Design Empowered by Generative Models and Human Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icds62420.2024.10751737","authors":["Mengyang Ren","Junming Fan","Pai Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T18:39:11Z","doi":"10.1109/icds62420.2024.10751737","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1115/msec2024-125094","name":"Advancing Digital Twin Technology in Manufacturing: A Comprehensive Study on Data Capture and Simulation of End Mills","source":"openalex","abstract":"Abstract This research presents a significant advancement in digital twin technology within the manufacturing sector, focusing on enhancing data acquisition and simulation processes during critical product lifecycle phases of endmill: design modeling and finite element analysis (FEA). The core of this study lies in the innovative creation of virtual assets that emulate real-time end milling operations. Our approach leverages CAD/CAE kernels as a pivotal bridge, connecting physical assets with virtual processes through process identification (pid) numbers. This methodology not only captures core utilization and other vital characteristics of computer systems as time series data signals but also introduces a novel angle in the data capture process, enhancing the fidelity of digital twins in manufacturing simulations. A key understanding of our research is the establishment of a direct correlation between CPU signal spikes and enhanced processing capacity, especially in relation to CAD/CAE kernel activities. This insight is critical for informed decision-making in tool and material selection, significantly reducing the development time for new material mathematical models. Our findings underscore the efficiency and practicality of digital twins in real-time milling processes, offering a robust framework for decision-making in both design and simulation phases. The study’s methodological innovations promise substantial contributions to digital twin technology, setting a new benchmark for precision and efficacy in manufacturing simulations.","url":"https://doi.org/10.1115/msec2024-125094","authors":["Arivazhagan Anbalagan","Marcos Kauffman","Tengfei Long"],"tags":["Benchmark (surveying)","Computer science","Process (computing)","Digital manufacturing","Kernel (algebra)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-17","doi":"10.1115/msec2024-125094","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"doi:10.1109/icrms63553.2024.00178","name":"The Designation of Life Test rig for Aviation Electromechanical Products Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrms63553.2024.00178","authors":["Ruping Wang","Lihua Meng","Xin Wang","Jiuqin Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-03T18:39:30Z","doi":"10.1109/icrms63553.2024.00178","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.13182/t130-44981","name":"Probabilistic Digital Twin and Distributed Ledger Technology Based Safeguards Solution for Aqueous Nuclear Reprocessing Facilities","source":"crossref","abstract":"","url":"https://doi.org/10.13182/t130-44981","authors":["Scott Evans","John Carbone","Chris Reynolds"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T23:44:37Z","doi":"10.13182/t130-44981","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/icac61394.2024.10718822","name":"A Novel Approach to Grasping Control of Soft Robotic Grippers based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icac61394.2024.10718822","authors":["Tianyi Xiang","Borui Li","Quan Zhang","March Leach","Enggee Lim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-23T17:41:15Z","doi":"10.1109/icac61394.2024.10718822","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1016/j.engappai.2023.107203","name":"Digital Twin for Continual Learning in Location Based Services","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engappai.2023.107203","authors":["Gianfranco Lombardo","Marco Picone","Marco Mamei","Monica Mordonini","Agostino Poggi"],"tags":["Computer science","Adaptability","Flexibility (engineering)","Architecture","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-30","doi":"10.1016/j.engappai.2023.107203","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"doi:10.18494/sam5343","name":"Synthetic Training Dataset Generation Using a Digital Twin-based Autonomous Driving Simulator","source":"crossref","abstract":"","url":"https://doi.org/10.18494/sam5343","authors":["In-Sung Jang","Ki-Joune Li","Eun-Oh Joo","Min-Soo Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-27T22:30:59Z","doi":"10.18494/sam5343","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394195336.ch1","name":"Journey to Digital Twin Technology in Industrial Production: Evolution, Challenges, and Trends","source":"openalex","abstract":"The Digital Twin is one of the game-changing inventions ushering in the Fourth Industrial Revolution that has the ability to completely alter the manufacturing landscape. A physical asset, method, or system's “digital twin” can be monitored, analyzed, and optimized in real time. The purpose of this piece is to inform readers about the history, current use, and promising future of digital twins in manufacturing. Beginning around the turn of the 2000, the idea of a “digital twin” emerged. It became a powerful resource due to steady improvements in sensor technology, data analytics, and network infrastructure. In this essay, we trace the extraordinary evolution of the Digital Twin from theoretical framework to usable industrial tool, illuminating the key moments and ideas that shaped it along the way. We also go over the difficulties that businesses experience when trying to introduce Digital Twin solutions. Data integration and interoperability issues, cybersecurity concerns, and a high cost of deployment are just a few of the challenges that prohibit Digital Twins from being fully integrated into industrial production processes. Digital Twins are explored in terms of their potential applications and future growth in the industrial sector. Another example is the management of supply chains that uses AI and ML combined to increase predictive capacity, or the creation of Digital Twins for usage in collaborative multi-enterprise scenarios. The study investigates how Digital Twin technology could improve maintenance procedures and productivity. The research concludes with an in-depth discussion of the increasing prevalence of Digital Twin applications in manufacturing. Understanding the development of Digital Twin technology, being aware of its problems, and embracing the changing trends can help businesses optimize production processes, enhance decision-making, and drive success during the Fourth Industrial Revolution period.","url":"https://doi.org/10.1002/9781394195336.ch1","authors":["Prithi Samuel","Rajesh Kumar Dhanaraj","Balamurugan Balusamy","Ali Kashif Bashir","Seifedine Kadry"],"tags":["Production (economics)","Data science","Computer science","Economics","Macroeconomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-27","doi":"10.1002/9781394195336.ch1","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1088/1742-6596/2803/1/012053","name":"Digital twin and hardware-in-the-loop based robotic arm modelling simulation","source":"crossref","abstract":"Abstract Aiming at a series of problems such as high testing cost, complex testing scenarios, and low testing efficiency in the testing of control algorithms for robotic arms, this paper proposes a method using semi-physical simulation technology combined with digital twin technology to solve this problem. Based on the V-model development process, the robotic arm control algorithm is designed, and the control effect is verified on the twin model. The extreme working condition test of the robotic arm controller is performed on the virtual test bench to achieve continuous algorithm optimization, verification, and iteration.","url":"https://doi.org/10.1088/1742-6596/2803/1/012053","authors":["Xingmin Zhang","Zhe Dong","Jiahuan He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T06:53:03Z","doi":"10.1088/1742-6596/2803/1/012053","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1002/9781394287420.ch18","name":"Blockchain for Improving Security and Privacy in the Smart Sensor Network","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420.ch18","authors":["Amit Kumar Tyagi","Tanuj Surve"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:06:37Z","doi":"10.1002/9781394287420.ch18","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1117/12.3070521","name":"Intelligent manufacturing digital twin creation based on BIM and reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3070521","authors":["Lang Dai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-09T19:47:17Z","doi":"10.1117/12.3070521","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"doi:10.1109/jphot.2024.3462994","name":"A Digital Twin Model for Optical Telescope Pointing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jphot.2024.3462994","authors":["Zhenghao Li","Yahui Zhang","Yan He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T17:57:33Z","doi":"10.1109/jphot.2024.3462994","addedAt":"2026-09-01T01:47:33.505Z","updatedAt":"2026-09-01T01:47:33.505Z"},{"id":"oa:W7138957521","name":"Memetic/Metaphorical Digital Twins: Extending Knowledge Co-Creation Across Economics, Architecture, and Beyond","source":"europepmc","abstract":"This article introduces Memetic/Metaphorical Digital Twins (MDTs) as a novel extension of Digital Twin typologies by twinning conceptual schemes, complementing Industrial, Human, and Cognitive Digital Twins. MDTs embed cultural, organizational, and semiotic knowledge into digital frameworks, enabling the recombination and evolution of knowledge structures across disciplines. Drawing on Schlaile's economic perspectives and Mavromatidis's architectural lens of entropy and constructal thermodynamics, this study demonstrates how MDTs can address systemic challenges in communication, knowledge transfer, and design. A Digital Community Platform, under development for supporting decentralized Personal Knowledge Management Systems (PKMS), provides the operational foundation, integrating iterative KM cycles to support knowledge co-creation. Its logic and logistics substitute the traditional document paradigm with a memetic approach by utilizing memes as replicable, adaptive knowledge units, thereby mimicking biological evolution and ecosystem resilience in digital platform environments. It aims to offer distributed, decentralized, bottom-up, affordable, knowledge-worker-centric applications prioritizing personalization, mobility, generativity, and entropy reduction; its mission is to serve a knowledge-co-creating community characterized by highly diverse individual Abilities, Contexts, Means, and Ends (ACME) facing increasingly volatile, uncertain, complex, and ambiguous futures (VUCA). A Boundary Object Taxonomy to Omnify Memetic Storytelling (BOTTOMS) is proposed to further structure atomic units of meaning-such as memes, mythemes, narratemes, and reputemes-into a unified framework for authorship and dissemination. The article situates MDTs within a design science research paradigm, outlines current implementation progress, and identifies future developments, including AI-supported curation, personalized metrics, and expanded boundary objects. Together, these contributions position MDTs as a universal framework for adaptive, transdisciplinary knowledge co-creation.","url":"https://doi.org/10.3390/biomimetics11030220","authors":["Ulrich Schmitt"],"tags":["Computer science","Knowledge management","Data science","Boundary object","Futures studies"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.3390/biomimetics11030220","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4412649291","name":"A Multi-Scale AI Framework for Informal STEM Learning: Paramorphic Digital Twins for Underserved Communities","source":"openalex","abstract":"This research presents a novel Multi-scale PAramorphic Kernel (MPAK) learning framework that is designed to enable autonomous, context-adaptive STEM learning for electrical and renewable energy topics. By employing distributed multi-agent kernel cores, recursive kernel reweighting, and entropy-guided abstraction modulation, this system dynamically adapts instructional content and sequencing based on the specific cognitive state of individual learners. Concept learning history is maintained in persistent memory buffers to facilitate individualized reinforcement and remediation in asynchronous, informal environments. Grounded in physics-informed knowledge graph, the system offers epistemic coherence and domain consistency at multiple levels of abstraction. Evaluated across multiple, underrepresented student groups in community and laboratory implementations, MPAK demonstrated a 45% rate increase in concept recall, a 3.2× improvement in student-led project completion, and sustained 68% learner interest over 12 weeks. These results emphasize the effectiveness of this architecture in delivering scalable, culturally sensitive, and high-fidelity STEM education without human interaction. The paper also discusses system deployment, statistical validation, longitudinal deployment settings, informal education problem-solving, cultural adaptation, and learning assessment. MPAK provides an extensible blueprint for inclusive, technology-driven workforce development in clean energy sectors, fueling inclusive participation and expertise in advanced technical fields.","url":"https://doi.org/10.20944/preprints202507.1784.v1","authors":["Khazar Gorji","Reza SaeedKandezy"],"tags":["Scale (ratio)","Informal learning","Computer science","Mathematics education","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.20944/preprints202507.1784.v1","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415970680","name":"MODELING THERMODYNAMIC PROCESSES USING MATLAB PDE TOOLBOX FOR CREATING DIGITAL TWINS IN THE FOOD INDUSTRY","source":"openalex","abstract":"The article discusses an approach to modeling thermodynamic processes in food industry production systems using MATLAB PDE Toolbox. The main goal of the research is to create digital twins that allow simulating thermal processes and optimizing production operations. The work focuses on the application of heat equations taking into account the Neumann and Dirichlet boundary conditions, which ensures the accuracy and reliability of modeling. The results of computational experiments demonstrating dynamic changes in temperature fields in 2D space are presented. The main attention is paid to the influence of physical parameters such as thermal conductivity, density and specific heat capacity on temperature distribution. The obtained data can be used to improve energy efficiency and quality of production processes in the food industry.As a result of the research, a model describing temperature fields was developed in the MATLAB PDE Toolbox. The developed model serves as a basis for further research in the field of digital twins and integration with industrial modeling tools such as SIEMENS NX, as well as PML platforms. During this study, various heat transfer coefficients and boundary conditions were tested, which made it possible to determine the optimal model parameters. The final result, presented at the end of the article, demonstrates a smooth and correct distribution of thermodynamic processes, confirming the effectiveness of the proposed approach. In the future, this approach can be used to create more complex virtual production systems that allow not only to analyze thermal processes, but also to develop intelligent heat treatment control systems, improving the adaptability and efficiency of technological processes.","url":"https://doi.org/10.53360/2788-7995-2025-3(19)-5","authors":["K. Makhambetov","Baurzhan Belgibaev","Nadezhda Kunicina"],"tags":["MATLAB","Computer science","Reliability (semiconductor)","Toolbox","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-03","doi":"https://doi.org/10.53360/2788-7995-2025-3(19)-5","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411571939","name":"AnywhereXR: on-the-fly 3D environments as a basis for open source immersive digital twin applications","source":"openalex","abstract":"Visualization has long been fundamental to human communication and decision making. Today, we stand at the threshold of integrating veridical, high-fidelity visualizations into immersive digital environments, alongside digital twinning techniques. This convergence heralds powerful tools for communication, co-design, and participatory decision-making. Our paper delves into the development of lightweight open-source immersive digital twin visualizations, capitalizing on the evolution of immersive technologies, the wealth of spatial data available, and advancements in digital twinning. Coined AnywhereXR, this approach ultimately seeks to democratize access to spatial information on a global scale. Utilizing the Netherlands as our starting point, we envision expanding this methodology worldwide, leveraging open data and software to address pressing societal challenges across diverse domains.HighlightsLightweight creation of high-fidelity, object-based 3D environments on-the-fly based on public data sets3D environments suitable for creating interactive and adaptble immersive experiences through AR and VRConnections to digital twin applicationsEvaluation and case studyEnable futuring and co-design using immersive digital twins","url":"https://doi.org/10.1080/17538947.2025.2520000","authors":["Alexander Klippel","Bart Knuiman","Jiayan Zhao","Jan Oliver Wallgrün","Jascha Grübel"],"tags":["Basis (linear algebra)","On the fly","Computer science","Open source","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-22","doi":"https://doi.org/10.1080/17538947.2025.2520000","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4399854664","name":"The digital operational resilience act: challenges and some reflections on the adequacy of Europe’s architecture for financial supervision","source":"openalex","abstract":"Abstract The paper critically analyses the Digital Operational Resilience Act (DORA) within the European Union (EU) with respect to challenges such as supervision and the oversight framework coordination. It delves into the adequacy of the European System of Financial Supervision (ESFS) in ensuring compliance with this regulation, highlighting issues of fragmented supervision at national level and inconsistent approaches. The main argument suggests that while the DORA Regulation is a positive step for harmonising digital operational resilience regulation, it brings about challenges in supervisory convergence and cooperation due to the existing fragmented supervisory architecture. The authors propose potential solutions like a more centralised supervision model to address these challenges. The paper follows a structured format with an overview of the DORA Regulation, discussion on identified challenges, and a concluding section.","url":"https://doi.org/10.1007/s12027-024-00793-w","authors":["Christopher P. Buttigieg","Beatriz Brunelli Zimmermann"],"tags":["Resilience (materials science)","European union","Architecture","Argument (complex analysis)","Compliance (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-01","doi":"https://doi.org/10.1007/s12027-024-00793-w","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414578030","name":"INNOVATIVE METHODS FOR ENSURING CYBERSECURITY OF TECHNOLOGICAL CONTROL SYSTEMS OF A DIGITAL TWIN OF A FOOD INDUSTRY ENTERPRISE","source":"openalex","abstract":"Cybersecurity in digital twin environments for the food industry presents unique challenges due to the merging of cyber‐physical systems with legacy industrial control systems. Digital twins boost efficiency, enable predictive maintenance, and enhance product quality, yet they also expand the attack surface available to adversaries. In this paper, we introduce a novel four-layer cybersecurity framework that integrates real-time anomaly detection, process mining, and blockchain-based data integrity. Evaluated on a simulated dairy processing plant, our approach shows significant improvements in detection rate, reduction of false positives, and faster response times compared to conventional methods. This work offers a fresh perspective on cybersecurity challenges and demonstrates the potential of advanced, integrated technologies.","url":"https://doi.org/10.32014/2025.2518-1726.360","authors":["Салтанат Адилжанова","Bauyrzhan Amirkhanov","Gulshat Amirkhanova","A. Anuarbek"],"tags":["Process (computing)","Computer security","Product (mathematics)","Control (management)","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-27","doi":"https://doi.org/10.32014/2025.2518-1726.360","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414658913","name":"Core technologies for hydropower digitalization within the Energy Internet framework: a mini-review","source":"openalex","abstract":"Hydropower, a cornerstone renewable energy source globally, is undergoing a transformative evolution through digitalization technologies within the emerging Energy Internet paradigm. This review examines the critical role, applications, enabling architectures, security considerations, and future directions of hydropower digitalization. Digitalization optimizes resource allocation and accessibility, enabling enhanced operational oversight and integration. Key applications include smart monitoring via Internet of Things (IoT) sensors and big data analytics for predictive maintenance, digital twin implementation for equipment prognostics and optimized real-time dispatch, sophisticated water resource scheduling leveraging diverse datasets (meteorological, hydrological, grid demand) for maximized utilization efficiency, and ecological impact mitigation via intelligent flow control and habitat design simulation. Deployment necessitates robust security measures adhering to industrial control standards (e.g., IEC 62443) and often employs redundant network architectures (dual-active or independent operation) to ensure safety and continuity. Future advancement depends critically on progress in interoperability, next-generation predictive digital twins, edge computing, advanced communication infrastructure, and cybersecurity resilience. Collectively, the ongoing evolution of hydropower digitalization technologies represents a vital pathway toward realizing the goals of efficiency, stability, and sustainability within the global Energy Internet.","url":"https://doi.org/10.3389/frwa.2025.1681345","authors":["Tingxiang Cao","Song Gao","Xiangjian Shi","Mo Li","Bing Zhang","Jingan Zhu"],"tags":["Software deployment","Renewable energy","Computer science","The Internet","Hydropower"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-30","doi":"https://doi.org/10.3389/frwa.2025.1681345","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4410786926","name":"The Silent Death of EU Consumer Law and Its Resilient Revival: Reinventing Consumer Protection Against Unfair Digital Commercial Practices","source":"openalex","abstract":"Abstract This article examines the silent death of EU consumer law in the face of digital transformation. It argues that the traditional consumer protection framework—once grounded in the figure of the consumer, the principle of fairness, and the standard of professional diligence—has been eroded by legal fragmentation, regulatory displacement, and the conceptual fading of the consumer as a distinct legal subject. Sector-specific instruments such as the Digital Services Act, Digital Markets Act, and Artificial Intelligence Act have sidelined horizontal protections and reframed individuals as “users” or “natural persons,” weakening the normative and institutional coherence of consumer law. In response, the paper calls for a resilient revival through a Digital Fairness Act: a dedicated horizontal instrument addressing the structural and behavioural asymmetries of digital markets. Anchored in the concept of digital professional diligence, the proposed Digital Fairness Act would restore fairness and enforceability by targeting manipulative design, algorithmic opacity, and autonomy-distorting commercial practices. The article offers a doctrinal blueprint for such reform, arguing that only a systemic recalibration can meaningfully reinvigorate consumer law in the algorithmic age.","url":"https://doi.org/10.1007/s10603-025-09590-5","authors":["Monika Namysłowska"],"tags":["Commercial law","Consumer protection","Law","Political science","Consumer law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-27","doi":"https://doi.org/10.1007/s10603-025-09590-5","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412382721","name":"Hybrid Digital Twin Framework with Meta-Learning and Reinforcement Learning for Nonlinear Manufacturing Systems","source":"openalex","abstract":"The rapid pace of change in non-linear manufacturing systems, especially in high-stakes industries like semiconductors and pharmaceuticals, demands fresh approaches to boost efficiency and adaptability. This research establishes a hybrid framework of meta-learning and reinforcement learning to address the concept of hybrid digital twin demands. The innovative approach aims to enhance real-time adaptability to tackle nonlinear complexities in manufacturing. The digital twins provide active and real-time models of physical processes that could be monitored and optimized easily; in semiconductor manufacturing, these devices combine precision and speed. This approach strengthens traditional models to empower adaptive learning aspects, modifying themselves to fit changing conditions quickly in situations in which rapid production changes are called for due to market developments and technology enhancements. But again, in pharmaceutical manufacturing, where compliance with regulations and product quality are crucial, this process promotes preemptive decision making supported by predictive modeling and real-time data analysis. This hybrid algorithm reduces downtime through meta-learning to speed up adapting to new data and through reinforcement learning to continuously optimize the process. It increases yield rates and enables a more robust production process. From current tests, it has demonstrated to be faster and more responsive than traditional practices in addressing complex manufacturing needs. Through the simulation of various \"what-if\" scenarios, they also provide manufacturers with a means to test and hone without the exposure to high costs. Programs aimed at smart manufacturing could deliver further innovation and sustainable developments if advanced algorithms were applied. Recognizing a hybrid digital twin in manufacturing will have a huge impact on the acceleration of industries in coming years.","url":"https://doi.org/10.21467/proceedings.7.4.4","authors":["B Harshinni"],"tags":["Reinforcement learning","Computer science","Meta learning (computer science)","Nonlinear system","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.21467/proceedings.7.4.4","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411091652","name":"Reducing Delivery Times by Utilising On-Site Wire Arc Additive Manufacturing with Digital-Twin Methods","source":"openalex","abstract":"The increasing demand for smaller batch sizes and mass customisation in production poses considerable challenges to logistics and manufacturing efficiency. Conventional methodologies are unable to address the need for expeditious, cost-effective distribution of premium-quality products tailored to individual specifications. Additionally, the reliability and resilience of global logistics chains are increasingly under pressure. Additive manufacturing is regarded as a potentially viable solution to these problems, as it enables on-demand, on-site production, with reduced resource usage in production. Nevertheless, there are still significant challenges to be addressed, including the assurance of product quality and the optimisation of production processes with respect to time and resource efficiency. This article examines the potential of integrating digital twin methodologies to establish a fully digital and efficient process chain for on-site additive manufacturing. This study focuses on wire arc additive manufacturing (WAAM), a technology that has been successfully implemented in the on-site production of naval ship propellers and excavator parts. The proposed approach aims to enhance process planning efficiency, reduce material and energy consumption, and minimise the expertise required for operational deployment by leveraging digital twin methodologies. The present paper details the current state of research in this domain and outlines a vision for a fully virtualised process chain, highlighting the transformative potential of digital twin technologies in advancing on-site additive manufacturing. In this context, various aspects and components of a digital twin framework for wire arc additive manufacturing are examined regarding their necessity and applicability. The overarching objective of this paper is to conduct a preliminary investigation for the implementation and further development of a comprehensive DT framework for WAAM. Utilising a real-world sample, current already available process steps are validated and actual missing technical solutions are pointed out.","url":"https://doi.org/10.3390/computers14060221","authors":["Stefanie Sell","Kevin E. Villani","Marc Stautner","Kevin Villani"],"tags":["Arc (geometry)","Metallurgy","Computer science","Materials science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.3390/computers14060221","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W7138594813","name":"Optimization of cold plates with asymmetric heat sources via a diffusion-model-driven digital twin","source":"openalex","abstract":"Abstract The geometric design of liquid-cooled cold plates critically determines their thermal-hydraulic performance, influencing the efficiency and reliability of high-power electronic systems. This study presents a conditional diffusion model-assisted digital twin framework that integrates physics-based multi-objective topology optimization (TO) with generative AI to accelerate high-performance thermal management design. The study first employs multi-objective topology optimization to generate a diverse set of cold plate geometries, together with the corresponding thermal resistance ( $$R_{th}$$ R th ) and pressure drop ( $$\\Delta p$$ Δ p ) under asymmetric thermal loading. A conditional diffusion model is then trained to capture the underlying distribution of cold plate geometries under specified physical conditions, enabling rapid and diverse generation of new designs consistent with user-defined parameters. The new designs generated by diffusion model are evaluated using a surrogate model to predict their thermal-hydraulic performance, facilitating the quick selection of viable candidates without exhaustive full-order simulations. The final designs are validated through high-fidelity finite-element thermal-fluid simulations, confirming strong agreement with reference results. By integrating the predictive rigor of physics-based modeling with the speed and adaptability of generative AI, this work brings physics-informed predictive design off the supercomputer and into the operational world, establishing a scalable and intelligent digital twin paradigm for the design of next-generation thermal management systems.","url":"https://doi.org/10.1007/s00158-026-04292-z","authors":["Hao Wu","Jacob Coaty","Yuwei Zong","Kaveh Azar","Majid Minary-Jolandan","Zhigang Tian","Y. Xu"],"tags":["Topology optimization","Computer science","Scalability","Surrogate model","Pressure drop"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"https://doi.org/10.1007/s00158-026-04292-z","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7108338714","name":"Digital Twin-Enabled Just-In-Time and Kanban Implementation Framework for Industry 4.0 Transformation in SMEs","source":"openalex","abstract":"Implementing Industry 4.0 technologies is a big problem for small and medium-sized businesses. JIT (Just-In-Time) and Kanban are both lean tools, but they might take too much time and effort. We plan to fill this gap by creating and testing a working framework that combines cloud-hosted Digital Twins with streamlining JIT-Kanban loops. The framework’s effectiveness was assessed in real-world contexts during a 30-month action research project involving twelve small and medium-size automotive parts manufacturers in Saudi Arabia. Using machine learning algorithms, a shop floor connected to the Internet has been turned into a virtual version. Because of the system, changes to how things are done on the shop floor are now possible immediately.This strategy led to a substantial improvement in performance. Lead times were down by 28%, equipment efficiency went up by 39%, and inventories came down by 47%. It was demonstrated that the framework had a payback period of less than 18 months, which demonstrated its financial viability. It is remarkable that 78 percent of implementations were successful, compared to 31% of digital deployments in conventional settings. As a result of further analysis, it was found that an organization’s technological maturity was significantly more significant than its size (r = 0.87, p = 0.001). It is concluded that the framework provides SMMEs with a cost-effective and accessible route to digital transformation by combining lean principles with advanced technology tools.","url":"https://doi.org/10.24867/ijiem-392","authors":["Seror Naji Mohsin Aldouri"],"tags":["Digital transformation","Manufacturing engineering","Kanban","Automotive industry","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.24867/ijiem-392","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7164758911","name":"Saltation-consistent event-aware digital twins for uncertainty transport in non-smooth dynamical systems","source":"openalex","abstract":"Non-smooth mechanical systems challenge prediction not only because their trajectories contain impacts, frictional transitions, and unilateral constraints, but because these events reorganize state propagation, sensitivity, uncertainty, and control authority. Existing digital-twin, hybrid-systems, Bayesian-estimation, and reduced-order frameworks each address part of that difficulty, yet they are usually developed on separate mathematical layers and therefore become least reliable precisely where engineering decisions are most event-sensitive. This paper introduces an event-aware mechanics and inference architecture for non-smooth dynamical systems in which event surfaces are treated as first-class transport interfaces rather than as numerical exceptions. Starting from a high-fidelity hybrid mechanical model with unilateral contact, friction, and measure-valued impulses, we derive saltation-consistent transport laws for sensitivities and covariance, formulate forced Bayesian correction at mechanically determined event times, and establish reduced-order error bounds that isolate jump mismatch as a distinct approximation channel. The resulting framework couples full-order mechanics, event-aware uncertainty propagation, online parameter updating, and reduced-order approximation within a single mathematically consistent architecture. Benchmarks involving impact, stick-slip, and shock-response dynamics show that event-aware transport preserves post-event state accuracy, concentrates parameter information in short event windows, and improves reduced-order fidelity during discontinuity-dominated transients. The central advance is the identification of event surfaces as the structural interfaces through which mechanics, inference, uncertainty transport, and control are coupled in non-smooth digital twins.","url":"https://doi.org/10.1038/s41598-026-53809-5","authors":["Shoniwa Mosekari"],"tags":["Dynamical systems theory","Computer science","Event (particle physics)","Jump","Inference"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-14","doi":"https://doi.org/10.1038/s41598-026-53809-5","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2889854526","name":"Digital Transformation Towards a New Context of Labour","source":"openalex","abstract":"Information Systems are the core of every business and cut across almost all aspects of organizational life. The adoption of technology enablers, by itself, does not guarantee such an organizational transformation. The new technology enablers allow the production, sharing and management of information and knowledge within the organization between peers and other stakeholders, and they also allow the improvement of organizational processes, requiring the updating of the supporting IS. Taking advantage of these technologies for organizations within the context of digital transformation requires a comprehension exercise in how to demonstrate their usefulness with regard to the creation, access and sharing of contents and IS improvements in a safe way. To this end, this chapter provides a comprehensive view of a new context of labour faced by the DT of organizations, which we term Enterprise 4.0 and which we propose to be implemented through the m_CSDIT framework, so as to improve the organizational well-being considering the collective intelligence and agility dimensions.","url":"https://doi.org/10.4018/978-1-5225-4936-9.ch002","authors":["Maria João Ferreira","Fernando Moreira","Isabel Seruca"],"tags":["Knowledge management","Digital transformation","Context (archaeology)","Business","Core (optical fiber)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-30","doi":"https://doi.org/10.4018/978-1-5225-4936-9.ch002","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W1512040619","name":"Testing space‐scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape","source":"openalex","abstract":"The next generation of digital elevation data (≤3 m resolution) calls for the development of new algorithms for the objective extraction of geomorphic features, such as channel networks, channel heads, bank geometry, landslide scars, and service roads. In this work, we test the performance of two newly developed algorithms for the extraction of geomorphic features: the wavelet‐based extraction methodology developed by Lashermes et al. (2007) and the GeoNet nonlinear diffusion and geodesic paths methodology proposed by Passalacqua et al. (2010). The study area is part of the Rio Cordon basin, a headwater alpine catchment located in the Dolomites, a mountainous region in the eastern Italian Alps. The aim of this work is to compare the capability of the two new algorithms in extracting the channel network and capturing channel heads, relevant channel disruptions corresponding to landslides, and representative channel cross sections. The extracted channel networks are also compared to the ones obtained using classical methodologies on the basis of an area threshold and an area‐slope threshold. A high‐resolution digital terrain model of 1 m served as the basis for such analysis. The results suggest that, although the wavelet‐based methodology performs well in the channel network extraction and is able to detect channel heads and channel disruptions, the local nonlinear filter together with the global geodesic optimization used in GeoNet is more robust and computationally efficient while achieving better localization and extraction of features, especially in areas where gentle slopes prevail. We conclude that these new methodologies should be considered as valid alternatives to classical methodologies for channel network extraction from lidar, in addition to offering the potential for calibration‐free channel source identification and also extraction of additional features of interest.","url":"https://doi.org/10.1029/2009wr008812","authors":["Paola Passalacqua","Paolo Tarolli","Efi Foufoula‐Georgiou"],"tags":["Channel (broadcasting)","Landslide","Computer science","Wavelet","Digital elevation model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-11-01","doi":"https://doi.org/10.1029/2009wr008812","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7117480394","name":"Towards Integrated Disaster Management: A Review of AI, Blockchain, and Digital Twin Technologies for Smart Resilience","source":"openalex","abstract":"Disaster management is undergoing a paradigm shift driven by the convergence of emerging digital technologies. Traditional systems often operate as non-integrated structures, which limits their capacity to respond and adapt in multi-hazard scenarios. In this context, Artificial Intelligence (AI), Blockchain, and Digital Twin (DT) technologies have emerged as transformative components in building smart, resilient disaster response frameworks. This review aims to synthesize the current state of research and applications involving these three technologies, with a particular focus on their integration potential for cohesive, secure, and adaptive disaster management systems. The study systematically examines how AI contributes to predictive analytics and decision-making, how Blockchain enhances data integrity, transparency, and coordination, and how DT enables real-time simulation and scenario planning. It also explores the interplay between these technologies and highlights emerging frameworks that attempt to combine them in unified architectures. Furthermore, key technical and operational challenges such as interoperability, data standardization, and real-time synchronization are discussed. By analyzing existing solutions and identifying critical research gaps, this review provides a roadmap toward integrated, intelligent disaster management systems. The review emphasizes the unique contributions of each technology and underscores the need for interoperability, effective data governance, and real-time decision support in integrated disaster management.","url":"https://doi.org/10.46460/ijiea.1768923","authors":["Özgür Karaduman"],"tags":["Resilience (materials science)","Computer science","Transformative learning","Data science","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.46460/ijiea.1768923","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412168296","name":"Technological Innovation in Digital Brand Management: Leveraging Artificial Intelligence and Immersive Experiences","source":"openalex","abstract":"The digital transformation has fundamentally reshaped brand management, moving from traditional mass communication to data-driven, interactive, and highly personalized strategies. With emerging technologies such as artificial intelligence (AI), augmented reality, and digital ecosystems, brands are now engaging consumers in innovative ways to enhance loyalty and gain a competitive advantage. This study examines how leading brands, such as Nike, Apple, and Coca-Cola, employ digital brand management strategies to enhance brand equity, boost consumer engagement, and maintain market leadership. A multiple-case study approach was employed to analyse this. Data was collected through archival research, social media analytics, and consumer sentiment analysis to assess the impact and effectiveness of these strategies. The study examines key digital branding elements, including direct-to-consumer (DTC) models, experiential marketing, and interactive campaigns. The findings reveal that Nike's DTC strategy fosters direct consumer relationships and strengthens brand equity. Apple's experiential marketing and storytelling foster emotional brand loyalty, while Coca-Cola's personalized and interactive digital campaigns drive consumer engagement and social media virality. These strategies demonstrate the growing importance of AI-driven personalization, omnichannel consistency, and consumer-centric engagement. The study concludes that brands prioritizing AI-powered personalization and immersive digital experiences achieve stronger consumer engagement and long-term brand growth. Practical implications suggest businesses integrate AI-driven analytics, invest in emerging technologies, and adopt consumer-focused digital strategies. Future research should investigate the long-term effects of AI-driven brand interactions and examine the role of Web3 and the Metaverse in shaping the future of digital brand management. © The Author(s) 2025. Published by RITHA Publishing. This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited maintaining attribution to the author(s) and the title of the work, journal citation and URL DOI.","url":"https://doi.org/10.57017/jorit.v4.2(8).06","authors":["Віталій Карпенко","Natalia Shkvyria","Nina YAROVA","Nataliia Terentieva"],"tags":["Business","Knowledge management","Computer science","Multimedia","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-01","doi":"https://doi.org/10.57017/jorit.v4.2(8).06","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4413886232","name":"Digital Transformation of the Ukrainian Construction Industry: Current Challenges and Prospects for Utilizing Global Experience","source":"openalex","abstract":"The article is dedicated to analyzing the current state and prospects of digital transformation in the construction industry of Ukraine in the context of global trends. The three-stage model of digital transformation proposed by international researchers is considered, and the key problems hindering the digitalization of the Ukrainian construction sector are identified, including significant resource intensity, management inefficiency, outdated regulatory framework, high energy consumption, and object accident rate. The study aims to examine the problems and prospects of using international experience to accelerate the digitalization of the construction industry in Ukraine. The article employs methods such as analysis, synthesis, comparison, generalization, tabular, schematic, and logical methods. An overview of key digital technologies transforming the global construction industry is presented, such as BIM, IoT, artificial intelligence, automation, cloud computing, AR/VR, digital twins, drones, and 3D printing. The experience of leading countries in construction digital transformation (USA, Finland, Singapore, Denmark) is analyzed based on the Network Readiness Index (NRI) and the IMD World Digital Competitiveness Ranking. A low level of digital readiness in Ukraine is revealed, particularly in the technological component and the absence from global rankings. The first steps of Ukraine in the implementation of digital technologies are considered, including the creation of the Unified State Electronic System in the field of construction (ЄДЕССБ) and the fragmented use of BIM, digital twins, IoT, robotics, AR/VR, and 3D printing. The main factors hindering the digitalization of the construction industry in Ukraine are identified: technological backwardness, insufficient investment, staff shortage, and uncertainty in regulatory and legal regulation. Considering the urgent need for the reconstruction of Ukraine, a roadmap for the digital transformation of the construction industry for 2025-2030 is proposed.","url":"https://doi.org/10.1109/sist61657.2025.11139214","authors":["Olesia Romanenko","Liudmyla Alaverdian","Olha Yudicheva"],"tags":["Ukrainian","Digital transformation","Current (fluid)","Transformation (genetics)","Construction industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-14","doi":"https://doi.org/10.1109/sist61657.2025.11139214","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7116721776","name":"Securing industry 4.0: a systematic review of AI-driven intrusion detection approaches and emerging trends","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40860-025-00264-0","authors":["Nethma Kalpani","Nureka Rodrigo"],"tags":["Computer science","Software deployment","Industrial Internet","Intrusion detection system","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.1007/s40860-025-00264-0","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412040269","name":"Sustainability powered by digitalization? (Re-)politicizing the debate","source":"openalex","abstract":"As ecological crises escalate, various stakeholders frame digitalization as a key solution for sustainability transformations. Besides incremental optimization, this promise has not materialized yet. We argue that digital solutions toward sustainability objectives are shaped by and reinforce power structures that effectively undermine sustainability outcomes. Academic discourse and governance are often dominated by a technology-centric framing in contrast to technologically informed, power-centric approaches. In this article, we develop an interdisciplinary framework to analyze three interconnected dimensions of power at the sustainability-digitalization-nexus and reveal how they obstruct sustainability. We locate power at the levels of environmental knowledge, governance, and technological materiality. First, digital technologies create representations of the environment that reinforce, reconfigure, or clash with preexisting ones, striving for more and better digital real-time data for technological control. Second, the spread of digital technologies is facilitated by emerging actor coalitions that promote digitalization while employing a reductionist understanding of sustainability. This narrows the policy space to optimization and incremental solutionism, which reproduces the status quo. Finally, the designs and material infrastructures of current digital technologies create path dependencies and lock-in effects while the underlying colonial resource and wealth flows remain hidden. We advocate for a (re-)politicization of digitalization across these dimensions to leverage its potential for sustainability transformations. We conclude that digitalization cannot spare us from political conflicts and deliberation processes about desirable sustainability futures. The debate should re-center fundamental questions about what kind of sustainable futures we want, where technology has a role to play, and where it does not.","url":"https://doi.org/10.1080/15487733.2025.2521181","authors":["Florian Steig","Pascal D. König","Jens Marquardt","Angela Oels","Jörg Radtke","Rainer Rehak","Sabine Weiland"],"tags":["Sustainability","Environmental ethics","Environmental planning","Political science","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-04","doi":"https://doi.org/10.1080/15487733.2025.2521181","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7138285949","name":"LUCIDiT: A Lean Urban Comfort Intelligent Digital Twin for Quick Mean Radiant Temperature Assessment","source":"openalex","abstract":"The intensification of Global Warming and Urban Heat Island phenomena necessitates advanced, computationally effective tools for evaluating outdoor thermal comfort and microclimatic dynamics by means of Mean Radiant Temperature assessment. However, existing high-resolution physical models often suffer from prohibitive computational costs. This research proposes LUCIDiT (Lean Urban Comfort Intelligent Digital Twin), a physically based modeling framework implemented for a quick mean radiant temperature assessment inside complex urban morphologies. The method integrates a simplified balance of mutual radiative heat exchanges with recursive time-series filtering to account for the thermal inertia of different urban materials, alongside greenery heat exchange due to evapotranspiration. This architecture creates an operational urban comfort digital twin that reduces computational times by orders of magnitude for large-scale mappings, without sacrificing physical accuracy. Validation against drone-acquired thermographic data and the established Urban Multi-scale Environmental Predictor model demonstrates high reliability and coherence with the real physical phenomena and context. The application to an urban pilot site in Florence reveals that strategic interventions, such as substituting impervious surfaces with irrigated greenery and arboreal canopies, can mitigate radiant loads by up to 20 °C. Findings show that the proposed urban comfort digital twin can be a robust, scalable instrument for designing evidence-based climate adaptation strategies and quick testing mitigation scenarios to enhance urban resilience.","url":"https://doi.org/10.3390/atmos17030305","authors":["Michele Baia","Giacomo Pierucci","Carla Balocco"],"tags":["Thermal comfort","Environmental science","Mean radiant temperature","Computer science","Impervious surface"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"https://doi.org/10.3390/atmos17030305","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7162291637","name":"Explainable digital twin–driven ensemble anomaly detection framework for cyber-physical infrastructure security","source":"openalex","abstract":"Abstract Cyber-physical infrastructures require early and trustworthy detection of abnormal behavior caused by cyber intrusions, sensor manipulation, and operational faults. This study proposes an explainable digital twin–driven ensemble anomaly detection framework for cyber-physical infrastructure security. The core of the framework is a physics-informed, hybrid regression-based digital twin that estimates expected nominal system behavior by combining historical operational data with plant-specific process relationships. Deviations between physical measurements and digital twin outputs are transformed into anomaly-sensitive features and analyzed by a heterogeneous ensemble of unsupervised detectors, including Isolation Forest, Elliptic Envelope, One-Class Support Vector Machine, and Local Outlier Factor. Their binary outputs are fused through a weighted voting strategy to improve robustness against heterogeneous anomaly patterns and to reduce false alarms. To support transparent decision making, a SHAP-based explainability layer is integrated for global and local feature attribution and root-cause interpretation. The framework is validated on a hydroelectric power plant digital twin using controlled fault-injection scenarios. The digital twin prediction layer demonstrates low error before deviation calculation, confirming its suitability as a nominal behavioral reference. In addition, the proposed ensemble is benchmarked against deep learning baselines, including a dense autoencoder and an LSTM autoencoder, and shows a more favorable balance in terms of F1-score, false alarm rate, and accuracy. The results indicate that the proposed approach provides a robust, interpretable, and practically reliable anomaly detection framework for cybersecurity-oriented monitoring of critical cyber-physical infrastructure.","url":"https://doi.org/10.1007/s10207-026-01274-6","authors":["İsmail Erkek","Erdal Irmak"],"tags":["Anomaly detection","Computer science","Robustness (evolution)","Data mining","Autoencoder"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-25","doi":"https://doi.org/10.1007/s10207-026-01274-6","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411220609","name":"Driving digital transformation in the oil and gas sector: unlocking AI’s potential in the UAE","source":"openalex","abstract":"Purpose This study aims to examine the implementation of artificial intelligence (AI) in the UAE oil and gas sector, focusing on operational, project management and executive-level challenges. It addresses gaps in existing research, which predominantly originates from North America and Europe, and provides a regional perspective on the practical challenges of AI adoption. The study aims to guide future AI implementation projects in the UAE by offering a structured framework. Design/methodology/approach A three-phase qualitative study was conducted using an interpretivist methodology. Semi-structured interviews were carried out with operational engineers, project managers and senior executives in the UAE oil and gas sector. Data saturation was achieved, and thematic analysis was used to interpret the findings. Findings The study identifies the necessity of adopting a lessons-learnt approach, reflecting the emerging stage of AI in the sector. It emphasises the importance of structured change management methodologies to address gaps in digital transformation research. The findings also highlight the critical need for collaborative efforts to bridge skill gaps and expertise, despite challenges posed by the sector’s siloed organisational culture. Senior management support is identified as essential for fostering collaboration. A developed model was applied to an existing AI project and presented as a preliminary evaluation. Research limitations/implications This study contributes to the literature on AI implementation by providing a region-specific perspective for the UAE oil and gas sector. It identifies key challenges and offers actionable recommendations for practitioners and researchers, highlighting the importance of structured change management and collaboration in overcoming barriers to AI adoption. Originality/value This study presents a novel and impactful framework for implementing AI in the UAE oil and gas sector, effectively bridging both regional and practical research gaps. It highlights the critical importance of equipping engineers with the requisite skills to facilitate successful AI adoption and delivers a robust, practice-oriented model that can guide future initiatives and strategic decision-making within the industry.","url":"https://doi.org/10.1108/ijoa-01-2025-5145","authors":["Iman Al Sulaity","Douglas Yourston","Osama Khassawneh","Tamer K. Darwish"],"tags":["Fossil fuel","Digital transformation","Business","Transformation (genetics)","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-11","doi":"https://doi.org/10.1108/ijoa-01-2025-5145","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7123960015","name":"Artificial Intelligence-Driven Transformation of Pediatric Diabetes Care: A Systematic Review and Epistemic Meta-Analysis of Diagnostic, Therapeutic, and Self-Management Applications","source":"openalex","abstract":"The limitations of conventional diabetes management are increasingly evident. As a result, both type 1 and 2 diabetes in pediatric populations have become major global health concerns. As new technologies emerge, particularly artificial intelligence (AI), they offer new opportunities to improve diagnostic accuracy, treatment outcomes, and patient self-management. A PRISMA-based systematic review was conducted using PubMed, Web of Science, and BIREME. The research covered studies published up to February 2025, where twenty-two studies met the inclusion criteria. These studies examined machine learning algorithms, continuous glucose monitoring (CGM), closed-loop insulin delivery systems, telemedicine platforms, and digital educational interventions. AI-driven interventions were consistently associated with reductions in HbA1c and extended time in range. Furthermore, they reported earlier detection of complications, personalized insulin dosing, and greater patient autonomy. Predictive models, including digital twins and self-learning neural networks, significantly improved diagnostic accuracy and early risk stratification. Digital health platforms enhanced treatment adherence. Nonetheless, the barriers included unequal access to technology and limited long-term clinical validation. Artificial intelligence is progressively reshaping pediatric diabetes care toward a predictive, preventive, personalized, and participatory paradigm. Broader implementation will require rigorous multiethnic validation and robust ethical frameworks to ensure equitable deployment.","url":"https://doi.org/10.3390/ijms27020802","authors":["Estefania Valdespino-Saldaña","Nelly Altamirano-Bustamante","Raúl Calzada-León","Cristina Revilla-Monsalve","Myriam M. Altamirano-Bustamante"],"tags":["Psychological intervention","Telemedicine","Digital health","Disruptive technology","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3390/ijms27020802","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7138890331","name":"Software-in-the-Loop Validation of Electric Vehicle Battery Systems Using AI-Augmented Digital Twins","source":"openalex","abstract":"The increasing reliance on software-controlled battery management and protection functions has made software-in-the-loop (SiL) validation a critical challenge for electric vehicle battery systems. Conventional battery validation approaches, which depend heavily on physical testing and late-stage verification, are costly, limited in coverage, and poorly suited to exploring rare or compounded operating conditions. While digital twins and data-driven models have been widely studied for battery modeling and health estimation, their use as validation-centric instruments for safety-critical battery software remains limited. This paper presents a software-in-the-loop validation framework based on AI-augmented digital twins, integrating physics-based electrothermal battery models with machine learning based residual and risk modeling. The framework enables scalable validation of battery control logic under both measured and synthetically generated operating scenarios, with validation objectives focused on limit enforcement, thermal derating, and fault-handling robustness. The approach is demonstrated using publicly available national-laboratory battery datasets, showing that synthetic scenario execution significantly expands validation coverage compared to experimental testing alone and reveals software-mediated risk conditions that are difficult to detect through conventional methods. The results demonstrate that AI-augmented digital twins can transform battery validation into a continuous, lifecycle-oriented process, supporting shift-left verification and improved safety assurance in software-defined electric vehicles.","url":"https://doi.org/10.63282/3050-922x.ijeret-v7i1p133","authors":["Vijayachandar Sanikal"],"tags":["Battery (electricity)","Computer science","Reliability engineering","Electric vehicle","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.63282/3050-922x.ijeret-v7i1p133","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7167515016","name":"Integrated energy-efficiency assessment of a geothermal well doublet digital twin for oil and gas fields","source":"openalex","abstract":"Purpose. The research aims to develop and validate an integrated approach to assessing the digital twin of a geothermal well doublet system, which, within a single computational scheme, combines inter-well filtration, heat transfer within the wellbore, pump flow rates and the realistic low-temperature cogeneration potential. In addition, the purpose of research is to form a model suitable for operational decision-making and preliminary technical-economic assessments in conditions where electricity cogeneration is treated as a derivative component of heat extraction, limited by allowable drawdown and the heat-transfer fluid circulation mode in oil-and-gas-type collectors. Methods. An integrated modelling methodology was employed, comprising a radially generalized filtration model based on Darcy’s law, a modified Shukhov’s model for assessing heat losses in the wellbore column taking into account a velocity correction, as well as an energy module for determining pump power and a model for assessing the electrical power of low-temperature cogeneration. A parametric analysis was performed for a series of calculation scenarios, based on which an empirical multiplicative dependence of useful thermal power was identified and a dimensionless integral efficiency criterion was formed for constructing stable operating ranges. Findings. It has been found that the useful thermal power of a geothermal doublet varies between 0.2-0.99 MW, while the potential for electricity cogeneration is 15-75 kW, or about 4-7% of the thermal power. It is shown that maximizing debit is not equivalent to maximizing useful energy due to the rapid growth in pump flow rates and heat losses in the wells. It has been determined that the optimal operating modes of the doublet should be based on an integral energy criterion, and not only on hydrodynamic parameters. Originality. An integrated thermohydraulic-energy core for a geothermal doublet digital twin has been developed and validated, in which filtration, heat transfer, heat losses, pump flow rates and cogeneration are combined into a single analytically consistent model. For the first time, a multiplicative empirical formula for assessing useful thermal power has been synthesized, and an energy-consistent criterion for selecting operating modes of a geothermal doublet system has been proposed. Practical implications. The proposed approach forms an engineering-appropriate basis for the rapid selection of debits, well depths, and nominal drainage radii, which make it possible to determine stable operating modes of geothermal doublets, reduce energy losses, limit pumping loads, and reasonably assess the thermal potential of oil and gas conversion projects.","url":"https://doi.org/10.33271/mining20.02.054","authors":["Мykhailo Fyk","Ilya Fyk","Оleksandr Fyk","Illia Fyk"],"tags":["Cogeneration","Geothermal gradient","Geothermal energy","Petroleum engineering","Heat pump"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.33271/mining20.02.054","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4406708768","name":"Digital twins for green roofs and facade inspection using drones and multi-modal foundation models","source":"openalex","abstract":"Green roofs and facades are a nature-based way to improve the climate of buildings. However, they also add additional maintenance effort for keeping the plants healthy. We propose a novel automated digital twin approach to monitor the health of the plants using a combination of drones with Foundation Models to monitor and analyze the health of the plants. The process consists of three main components, a drone system for recording real-time data in an automated manner for different heights, a digital twin for storing and controlling the data, and a Multi-modal Foundation model (MMFM) for diagnosis of health issues and generating recommendations for solving the issues. This allows us to automatically identify and mitigate health issues of the plants and improve the maintenance of the miniature ecosystems of green roofs and facades to address climate change risk and the shortage of skilled workers.","url":"https://doi.org/10.1051/e3sconf/202560805001","authors":["Nils Soeren Krause","Joern Ploennigs"],"tags":["Facade","Drone","Foundation (evidence)","Modal","Architectural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1051/e3sconf/202560805001","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415499644","name":"Towards Digital Transformation in Building Maintenance and Renovation: Integrating BIM and AI in Practice","source":"openalex","abstract":"Digital transformation powered by Building Information Modeling (BIM) and Artificial Intelligence (AI) is reshaping renovation practices by addressing persistent challenges such as fragmented records, scheduling disruptions, regulatory delays, and inefficiencies in stakeholder coordination. This study explores the integration of these technologies through a case study of a Catholic church renovation (2022–2023) in Hong Kong, supplemented by insights from 10 comparable projects. The research proposes a practical framework for incorporating digital tools into renovation workflows that focuses on diagnosing challenges, defining objectives, selecting appropriate BIM/AI tools, designing an integrated system, and combining implementation, monitoring, and scaling into a cohesive iterative process. Key technologies include centralized BIM repositories, machine learning-based predictive analytics, Internet of Things (IoT) sensors, and robotic process automation (RPA). The findings show that these tools significantly improve data organization, proactive planning, regulatory compliance, stakeholder collaboration, and overall project efficiency. While qualitative in nature, this study offers globally relevant insights and actionable strategies for advancing digital transformation in renovation practices, with a focus on scalability, continuous improvement, and alignment with regulatory frameworks.","url":"https://doi.org/10.3390/app152111389","authors":["Philip Wong","Kim San Lo","Haitao Long","Joseph H.K. Lai"],"tags":["Workflow","Digital transformation","Stakeholder","Process management","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-24","doi":"https://doi.org/10.3390/app152111389","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4417486417","name":"An Agentic AI-based Architecture for Digital Twins Specialized in Predictive Maintenance: Application to Ball Mills","source":"openalex","abstract":"Mining operations are increasingly confronted with a multitude of challenges, including price volatility, declining ore grades, and escalating energy costs. These challenges are exacerbated by variations in mineral hardness, which contribute to accelerated wear on critical equipment. Among this machinery, ball mills are particularly susceptible to wear and component failures, leading to unplanned maintenance, costly downtime, and disruptions in production. This research seeks to enhance the capabilities of predictive maintenance (PdM), with a concentrated emphasis on Anomalous Behavior Detection (ABD) and Digital Twin (DT) technologies, specifically tailored for ball mill applications within a multi-agent AI system (MAS) framework. We present a novel architectural design that synergizes DT and ABD through a semi-autonomous multi-agent AI system comprising two primary agents: the PdM agent and the Quality Assurance Agent. The primary function of the PdM agent is to identify anomalous behavior, while the Quality Assurance Agent is tasked with assessing the implications of parameter modifications on mill efficiency. Furthermore, we described the principal challenges related to data quality, system integration, and real-time responsiveness that must be systematically addressed to facilitate successful implementations in the future.","url":"https://doi.org/10.1016/j.ifacol.2025.12.403","authors":["Claudio Collao","Humza Akhtar","Carlos Toro","Carlos Ocampo‐Martínez","Raphael Schor","Rami Pinto Prieto"],"tags":["Implementation","Quality assurance","Engineering","Architecture","Mill"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.ifacol.2025.12.403","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412691132","name":"Mixed Reality-based Digital Twinning of Building Circularity: A Co-Design Approach for Sustainable Buildings","source":"openalex","abstract":"Sustainability in construction practices is becoming the need of the day, and the construction sector is getting adoptive to the integration of digital tools to explore the opportunities for enhancing sustainability and circular economy applications, offering significant benefits to both industry and society. To achieve this goal, this article discusses a sustainability framework combining Digital Twin (DT), Mixed Reality (MR), and Life-Cycle Assessment (LCA) to align with circular economy principles in building construction.A case study of a single-family house in Kelowna, BC, Canada is conducted to demonstrate the potential of this integration for comprehensive LCA of buildings.The LCA analysis of the building is performed using OneClick LCA-an LCA platform.The results of LCA account for the embodied carbon, improved material circularity, life cycle cost efficiency, etc.A DT Dashboard (DTD) of the building's circularity model is also developed, which monitors and optimizes the whole life cycle of the building.The DTD is then deployed to MR hardware -Microsoft HoloLens for enabling onsite circularity analysis of the building.This not only allows for immersive visualization of LCA data but also enhances stakeholders' collaboration and decisionmaking.This way the study showcases how immersive DT can potentially be a game-changer for sustainable construction and provides an industrially replicable model.","url":"https://doi.org/10.22260/isarc2025/0208","authors":["Bo Su","Muhammad Fawad","Qian Chen","Marek Salamak"],"tags":["Crystal twinning","Computer science","Architectural engineering","Mixed reality","Augmented reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.22260/isarc2025/0208","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411460439","name":"Digital Twin Technology in Precision Medicine and Public Health: Transforming Patient Care and Epidemiological Forecasting","source":"openalex","abstract":"Healthcare providers use digital twins to tailor health-related interventions to personal, genetic, lifestyle, and environmental factors as against the one-size-fits-all model. This is primarily because of its ability to facilitate individualized treatment plans while enhancing clinical decision-making. This study examines the role of digital twin in precision medicine and public health, with a focus on the revolutionizing capacity in patient care and epidemiological forecasting. Using multiple empirical and case studies, the impact of this technology on informing public health strategies and optimizing patient management will be assessed. Despite its transformative potential, the integration of digital twin technology presents challenges such as data interoperability issues and standardization concerns, which hinder effective implementation. Nonetheless, digital twin technology holds promise for improving public health outcomes as it continues to evolve.","url":"https://doi.org/10.38124/ijisrt/25jun719","authors":["Ronke Victoria Olatunde","Millicent Yaa Gyasiwaa","Ayange S. Ayangeakaa","Muhammad Arslan Usman","Timothy O. Olorundare","Ome Valentina Akpughe"],"tags":["Interoperability","Transformative learning","Standardization","Public health","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.38124/ijisrt/25jun719","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411062771","name":"Designing digital health interventions with causal inference and multi-armed bandits: a review","source":"openalex","abstract":"Recent statistics from the World Health Organization show that non-communicable diseases account for 74% of global fatalities, with lifestyle playing a pivotal role in their development. Promoting healthier behaviors and targeting modifiable risk factors can significantly improve both life expectancy and quality of life. The widespread adoption of smartphones and wearable devices enables continuous, in-the-wild monitoring of daily habits, opening new opportunities for personalized, data-driven health interventions. This paper provides an overview of the advancements, challenges, and future directions in translating principles of lifestyle medicine and behavior change into AI-powered mobile health (mHealth) applications, with a focus on Just-In-Time Adaptive Interventions. Considerations for the design of adaptive interventions that leverage wearable and contextual data to dynamically personalize behavioral change strategies in real time are discussed. Bayesian multi-armed bandits from reinforcement learning are exploited as a framework for tailoring interventions, with causal inference methods used to incorporate structural assumptions about the user's behavior. Furthermore, strategies for evaluation at both individual and population levels are presented, with causal inference tools to further guide unbiased estimates. A running example of a simple real-world scenario aimed at increasing physical activity through digital interventions is used throughout the paper. With input from domain experts, the proposed approach is generalizable to a wide range of behavior change use cases.","url":"https://doi.org/10.3389/fdgth.2025.1435917","authors":["Radoslava Švihrová","Andrew Dei Rossi","Davide Marzorati","Athina Tzovara","Francesca Dalia Faraci"],"tags":["mHealth","Psychological intervention","Causal inference","Digital health","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-05","doi":"https://doi.org/10.3389/fdgth.2025.1435917","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7125928346","name":"AI-Enhanced Digital Twin Framework for Humanitarian Logistics: a Decision Support Approach for Crisis Response","source":"openalex","abstract":"Purpose: This study aims to develop an AI-enhanced Digital Twin framework (HLDT) for humanitarian logistics, addressing the research question: How can AI-driven Digital Twins improve decision-making and efficiency in crisis response? The scope focuses on optimizing operations, resource allocation, and transparency in disaster scenarios. Methodology: A qualitative approach was employed, conducting semi-structured interviews with 15 humanitarian logistics experts to identify challenges and inform the design of the DSA-HLDT model. The framework integrates real-time data, AI analytics, and simulation, validated using real-world datasets from organizations like the United Nations and Red Cross. Findings: The HLDT framework significantly reduced response times, optimized resource allocation, and improved multi-agency coordination. Blockchain and IoT integration enhanced operational transparency, ensuring efficient aid distribution. Originality: This research pioneers a federated AI-driven Digital Twin model for humanitarian logistics, enabling collaborative, data-driven crisis management with innovative hybrid modeling techniques.","url":"https://doi.org/10.51551/verimlilik.1685350","authors":["Musab Talha Akpınar"],"tags":["Transparency (behavior)","Humanitarian aid","Scope (computer science)","Process management","Humanitarian crisis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.51551/verimlilik.1685350","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414528344","name":"Machine Learning for Design Optimization and PCM-Based Storage in Plate Heat Exchangers: A Review","source":"openalex","abstract":"This review critically examines the intersection of machine learning (ML), plate heat exchangers (PHEs), and latent heat thermal energy storage (LHTES) using phase-change materials (PCMs)—a combination not comprehensively addressed in the existing literature. Covering more than 120 peer-reviewed studies published between 2015 and 2025, we analyze the deployment of ML methods—including artificial neural networks, ensemble models, physics-informed neural networks, and hybrid optimization techniques—for modeling, performance enhancement, and real-time control of PCM-integrated PHE systems. Particular attention is given to ML-driven geometry optimization, flow prediction, and surrogate modeling for computational fluid dynamics (CFD) simulations. The review also explores digital twin development and nanofluid-enhanced storage strategies. By addressing key gaps in dataset availability, model interpretability, and integration challenges, we provide a structured roadmap for future research, emphasizing hybrid ML–physics models, explainable AI, and standardized benchmarking. This work offers a data-driven and focused perspective on advancing the design of intelligent and sustainable thermal systems.","url":"https://doi.org/10.3390/en18195115","authors":["Fatemeh Isania","Antonio Galgaro"],"tags":["Artificial neural network","Computer science","Artificial intelligence","Software deployment","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-25","doi":"https://doi.org/10.3390/en18195115","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7131347103","name":"Governance of digital transformation for sustainable development: aligning digital innovation with the sustainable development goals","source":"openalex","abstract":"The accelerating pace of digital innovation presents new governance challenges, necessitating the establishment of robust policy, legislative, and institutional frameworks to mitigate risks and maximize sustainability benefits. This study examines the intersection between digital transformation (DT), governance, and sustainability within the context of the United Nations Sustainable Development Goals (SDGs). The purpose of this study is to synthesize and critically evaluate the evidence on how DT governance influences progress toward the SDGs. Using a systematic mapping and structured qualitative evidence synthesis, aligned with PRISMA 2020 guidelines, the study reviews peer-reviewed literature published between 2015 and 2024 on the governance of DT in relation to the SDGs. Sixty-five studies were analyzed across governance scales, digital technologies, and sustainability dimensions. The findings reveal strong optimism regarding DT contributions to the SDGs, alongside persistent governance gaps, contextual inequalities, and underexamined trade-offs. To address these gaps, the study proposes an evidence-informed framework for sustainable DT governance that integrates inclusivity, adaptability, transparency, and multi-stakeholder collaboration. The framework is positioned relative to existing digital and sustainability governance models and highlights implementation challenges, particularly in low- and middle-income country contexts. The results advance policy-relevant insights for aligning digital innovation with long-term sustainability objectives.","url":"https://doi.org/10.3389/frsc.2026.1743552","authors":["Sarah Ghazal Masri","MUTASEM EL-FADEL"],"tags":["Sustainability","Corporate governance","Context (archaeology)","Business","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-25","doi":"https://doi.org/10.3389/frsc.2026.1743552","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411959421","name":"Towards a Digital Twin Architecture Based on MAPE-K Framework and Holonic Paradigm: Application to an Emergency Department and Smart Manufacturing Cases Studies","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-85316-6_27","authors":["Abir Ismaili-Aoui","Emmanuel Zimmermann","Yinling Liu","Guillaume Demesure","Hind Bril El Haouzi","Hind Bril el Haouzi"],"tags":["Architecture","Emergency department","Computer science","Artificial intelligence","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-85316-6_27","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4414846868","name":"Micro-entrepreneurs towards the twin sustainable and digital transition. Does financial literacy play a role?","source":"openalex","abstract":"Abstract The digital and sustainable transitions represent two strategic drivers of growth and innovation for micro-, small-, and medium-sized enterprises. This is especially relevant for micro-firms, which significantly lag behind larger firms in these areas. Financial literacy can play a key role in guiding small entrepreneurs to make sound financial choices and make the so-called twin transition successful. We exploit a survey conducted by the Bank of Italy in 2021 – involving about 2,000 non-financial firms with less than 10 employees – to investigate whether financial literacy acts as a driver for the twin transition. Through instrumental variable estimation, we find evidence of a causal link between financial literacy and both digitalisation and engagement in sustainable activities.","url":"https://doi.org/10.1017/flw.2025.10002","authors":["Alessio D’Ignazio","Daniela Marconi","Massimiliano Stacchini"],"tags":["Financial literacy","Exploit","Business","Instrumental variable","Digital literacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-01","doi":"https://doi.org/10.1017/flw.2025.10002","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4366989298","name":"Using digital technologies to plan and manage the pipelines network in city","source":"openalex","abstract":"Abstract Promoting the intelligent level of urban pipelines network planning and management is an important way to improve the rational development and utilisation of urban underground space and ensure the safe operation of urban infrastructure systems. The research on using the rapid and visual expression technology of 3D pipelines network model data, which has the functions of techno‐economic indexes calculation and automatic comparison of underground pipeline construction projects, effectively avoids possible errors in manual calculation and comparison and improves the efficiency and accuracy of the digital declaration process for project planning. In the 3D Geographic Information Systems (GIS) platform environment, this research help to develop many analysis and approval functions based on the data of the underground pipelines network model and the integrated pipes gallery Building Information Modelling, such as evaluating the compliance, feasibility and scientific of the planning scheme of the underground pipeline construction project, comparing the completion data with the data approved by the administrative departments of the project, evaluating the consistency of them and judging the compliance of the project completion data. The application results of some actual projects cases show that this research can improve the efficiency of planning declaration and approval analysis.","url":"https://doi.org/10.1049/smc2.12054","authors":["Yufang Huang","Hongtao Peng","Luxin Wen","Tingyan Xing"],"tags":["Pipeline (software)","Pipeline transport","Computer science","Consistency (knowledge bases)","Scheme (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-24","doi":"https://doi.org/10.1049/smc2.12054","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411352083","name":"AI-Powered Automation of Cloud Database Management using Deep Reinforcement Learning and Digital Twins","source":"openalex","abstract":"With an emphasis on financial applications with extremely high performance requirements, this article explores the revolutionary combination of deep reinforcement learning and digital twin technologies for automating cloud database administration. As data volumes and query workloads increase, cloud database systems become more sophisticated, creating management challenges that conventional methods are unable to handle. A potent framework for automated management is produced by combining digital twins, which offer safe virtual replicas for training, with DRL, which enables autonomous learning through contextual interaction. Important functions, including workload management, disaster recovery procedures, resource allocation, query execution planning, compliance maintenance, and cost efficiency optimization, are all enhanced by this relationship. While administrators can do in-depth","url":"https://doi.org/10.56975/tijer.v12i6.158483","authors":["S. Om Prakash"],"tags":["Cloud computing","Automation","Reinforcement learning","Computer science","Reinforcement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.56975/tijer.v12i6.158483","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7128367552","name":"Advances in Emerging Digital Technologies for Sustainable Agriculture: Applications and Future Perspectives","source":"openalex","abstract":"Sustainable agriculture is under increasing pressure due to climate variability, resource scarcity, and the need to reduce environmental impacts without compromising productivity. This study aimed to systematically analyze recent advances in emerging digital technologies applied to sustainable agriculture. The PRISMA protocol was applied to Scopus and Web of Science, considering publications from 2020 to 2025, which were analyzed using RStudio 4.5.10 and VOSviewer 1.6.20, resulting in 101 relevant articles. The findings indicate that multisensor monitoring and precision agriculture enable high-resolution characterization of soil–crop variability, supporting site-specific irrigation, fertilization, and phytosanitary management. Likewise, machine learning-based predictive models improve decision-making by forecasting yield, water stress, nutrient deficiencies, and disease outbreaks. In addition, edge computing and autonomous systems enhance operational efficiency and reduce labor dependency. Blockchain strengthens transparency and sustainability certification through secure traceability, while digital twins optimize management strategies through prior simulation. Despite these advances, limitations remain, including platform fragmentation, limited interoperability, uneven adoption among smallholders, and challenges in model generalization across heterogeneous agroecosystems. Therefore, further progress toward integrated and interoperable digital ecosystems is recommended.","url":"https://doi.org/10.20944/preprints202602.0211.v1","authors":["Carlos Diego Rodríguez Yparraguirre","Abel José Rodríguez-Yparraguirre","Wendy Akemmy Castañeda Rodriguez","Janet Verónica Saavedra-Vera","Atilio Ruben Lopez-Carranza","Iván Martín Olivares-Espino","Cesar Moreno Rojo","Andrés David Epifania-Huerta","Elías Manuel Guarniz-Vásquez","Wilson Arcenio Maco-Vásquez"],"tags":["Interoperability","Sustainability","Computer science","Transparency (behavior)","Resource efficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-05","doi":"https://doi.org/10.20944/preprints202602.0211.v1","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4408950092","name":"Smart port city: Digital interfaces for enhancing RoPax port and city co-existence","source":"openalex","abstract":"The transition towards smart cities demands a multifaceted approach, which becomes particularly challenging in port cities, where urban life intersects with global logistics. While ports serve as critical logistic nodes, they hold the potential for diverse urban uses beyond mere ship traffic. This study investigates the integration of physical and digital infrastructures in port cities, focusing on the area where urban space expands towards RoPax terminals that combine wheeled cargo and passenger transport. The study is designed as a case study of a Baltic Sea port city undergoing significant infrastructural changes, including the construction of a new passenger terminal and rearrangement of the area surrounding the port. We explore the development of digital infrastructure to facilitate the coexistence of a liveable city and efficient transport connections. Our analysis is based on the dimensions of a smart city and related interfaces. The findings identify key digital interfaces between the city and its port, highlighting five types of such interfaces and the unique challenges and opportunities in balancing the smart city goals of urban and port authorities. This study contributes to the literature on smart cities by demonstrating the critical role of ports in the formation of smart cities, with implications for similar urban contexts.","url":"https://doi.org/10.1016/j.cities.2025.105936","authors":["Anastasia Tsvetkova","Irina Wahlström","Kristel Edelman","Riikka Franzén","Yiran Chen Zhou","Magnus Hellström"],"tags":["Port (circuit theory)","Smart city","Telecommunications","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-28","doi":"https://doi.org/10.1016/j.cities.2025.105936","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7160093829","name":"Digital twins of ex vivo human lungs enable accurate and personalized evaluation of therapeutic efficacy","source":"openalex","abstract":"Digital twins are an emerging concept in healthcare that envisions integration of molecular, physiological, functional and clinical data to create computational models of biological systems such as cells, organs and individuals. However, the lack of large, multimodal datasets has so far precluded the realization of comprehensive digital twins in medicine. Ex vivo lung perfusion (EVLP) allows the study of human lungs outside the body under physiological conditions and generates multimodal data from imaging, physiologic monitoring and molecular assays. Here we report lung digital twins developed from the largest known clinical EVLP dataset. We show that the digital twin framework accurately models >75 parameters spanning lung physiology, biochemistry, radiography, transcriptomics, metabolomics and proteomics. Furthermore, direct comparison to experimental data on EVLP lungs treated with alteplase demonstrates that digital twins can precisely assess therapeutic efficacy. Together, these results establish human lung digital twins developed using EVLP as a data-rich approach to improve the evaluation of therapeutic effects.","url":"https://doi.org/10.1038/s41587-026-03121-4","authors":["Xuanzi Zhou","Bo Wang","Yiyang Wei","Serena Hacker","Sumin Kim","T. Borrillo","Abby McCaig","Haaniya Ahmed","Youxue Ren","Olivia Hough","Luca Orsini","B.T. Chao","Micheal McInnis","Marcelo Cypel","Mingyao Liu","Jonathan Yeung","Lorenzo Del Sorbo","Shaf Keshavjee","Andrew T. Sage"],"tags":["Ex vivo","Medicine","Internal medicine","Personalized medicine","Oncology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-04","doi":"https://doi.org/10.1038/s41587-026-03121-4","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4281715385","name":"Digital Fears Experienced by Young People in the Age of Technoscience","source":"openalex","abstract":"With the advance of technoscience, digital technologies have started to reshape the traditional array of social fears experienced by younger generations by triggering the appearance of new, digital fears. In this article, we undertake a sociological analysis to investigate the concept of digital fears both theoretically and empirically. Our survey conducted among Russian young people aged 18–30 in 2020 (N = 1050, Sverdlovsk region, Russian Federation) showed that fear is a distinctive characteristic of the social well-being of this generation. Moreover, fear tends to become more pronounced both quantitatively (i.e., the frequency of emergence) and qualitatively (i.e. the emergence of new types). The identified digital fears of young people allowed us to draw their typology. Depending on the specifics of digital threat, the following types were distinguished: those associated with impact and control, crime and security, communication and activity, technology and innovation, and social inequality. We show that the expanding range of social fears leads to the formation of catastrophic thinking in young people, thereby affecting the level of social well-being and distorting the image of the future.","url":"https://doi.org/10.15826/csp.2022.6.1.163","authors":["С. Б. Абрамова","Natalya L. Antonova","Riccardo Campa","Natalia G. Popova"],"tags":["Typology","Technoscience","Sociology","Inequality","Social psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-11","doi":"https://doi.org/10.15826/csp.2022.6.1.163","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414252439","name":"Subparsec Acceleration and Collimation of NGC 4261’s Twin Jets","source":"openalex","abstract":"Abstract We report the first robust evidence for a cospatial subparsec acceleration and collimation zone (ACZ) in the twin jets of the nearby low-luminosity active galactic nucleus NGC 4261. This result is derived from multifrequency Very Long Baseline Array imaging, combined with the frequency-dependent properties of the radio core (core shift and core size) and jet kinematics determined from the jet-to-counterjet brightness ratio. By applying multiple analysis methods and incorporating results from the literature, we identify a parabolic-to-conical structural transition in both the jet and counterjet, with the transition occurring at (1.23 ± 0.24) pc or (8.1 ± 1.6) × 103 R s (Schwarzschild radii) for the jet and (0.97 ± 0.29) pc or (6.4 ± 1.9) × 103 R s for the counterjet. We also derive the jet velocity field at distances of ∼(103–2 × 104) R s. While local kinematic variations are present, the jet shows an overall acceleration to relativistic speeds from ∼103 to ∼8 × 103 R s, with a maximum Lorentz factor of Γ max ≈ 2.6 . Beyond this region, the jet gradually decelerates to subrelativistic speeds. These findings support the existence of a subparsec-scale (≲1.5 pc) ACZ in NGC 4261, where the jet is accelerated via magnetic-to-kinetic energy conversion while being confined by external pressure. A brief comparison with M87 suggests that the ACZ in NGC 4261 may represent a scaled-down analog of that in M87. These results point toward a potential diversity in jet ACZ properties, emphasizing the importance of extending such studies to a broader AGN population to elucidate the physical mechanisms at play.","url":"https://doi.org/10.3847/1538-4357/adf84c","authors":["Xi Yan","Lang Cui","Kazuhiro Hada","S. Frey","Ru-Sen Lu","Liang Chen","Wancheng Xu","Elika P. Fariyanto","Luis C. Ho"],"tags":["Physics","Astrophysics","Jet (fluid)","Acceleration","Astrophysical jet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-16","doi":"https://doi.org/10.3847/1538-4357/adf84c","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414552827","name":"Conceptual development and implementation of a digital twin model for managing saltwater intrusion of an island coastal aquifer","source":"openalex","abstract":"Abstract Saltwater intrusion (SWI) poses a significant environmental challenge for coastal aquifers in Pacific Island nations, including Port Vila, Vanuatu. This study utilised a 3D numerical simulation model to evaluate SWI in the Tagabe coastal aquifer under current pumping regimes. To address SWI, optimal pumping patterns were identified through machine learning-based surrogate ensemble models and a simulation-optimisation (S–O) management model. A digital twin (DT) framework of the Tagabe coastal aquifer was developed, incorporating a 3D numerical model, surrogate ensemble models, and the S–O approach. The DT framework, linked with illustrative field data, was used to generate and analyse five illustrative scenarios based on varying salt concentrations (0.45, 0.55, 0.75, 0.90, and 1.15 kg/m 3 ; Scenarios 1 to 5, respectively). The results indicated that scenario 3 (salt concentration of 0.75 kg/m 3 ) led to the highest pumping rates from production wells (17,317 m 3 /d) and the lowest from barrier wells (202 m 3 /d), while scenario 5 showed maximum pumping of 31,676 m 3 /d from production wells and 5000 m 3 /d from barrier wells. The S–O model results were validated with less than 10% relative error compared to the numerical model outputs. To the author’s best knowledge, the application of DT in managing SWI has not been applied before. This study is the first to apply a DT framework for managing SWI in coastal aquifers, showcasing its potential for predicting future scenarios and optimising water management strategies. The results from the study indicated that DT can be successfully employed in a coastal aquifer for managing the SWI. The methodology developed and implemented in this study is of global significance and could be used to manage water resources wisely. The study demonstrated that with the help of the S–O approach, the DT is vital in predicting future scenarios, changes in pumping patterns, and other uncertainties.","url":"https://doi.org/10.1007/s10661-025-14553-x","authors":["Ashneel Sharan","Bithin Datta","Dilip Kumar Roy","Alvin Lal"],"tags":["Aquifer","Saltwater intrusion","Port (circuit theory)","Hydrology (agriculture)","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-26","doi":"https://doi.org/10.1007/s10661-025-14553-x","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4400317651","name":"Emergent digital possibilities for design-led reuse within circular economy","source":"openalex","abstract":"Abstract This paper discusses literature and practice-based case studies in transformative, design-led reuse using emerging technologies. The inability of recycling to manage the assortment and complexity of waste materials within Circular Economy (CE) demands more discrete, attentive and granular approaches to reuse of waste by design professionals. This paper explores emerging and established digital technologies of Building Information Management (BIM), 3D scanning and artificial intelligence (AI) for their capacity to ease and improve transformative, design-led reuse practices for interiors, furnishings, architecture and building. Practice-based research is used to communicate first-hand encounters with the possibilities, benefits and challenges of these digital techniques.","url":"https://doi.org/10.1038/s42949-024-00164-x","authors":["Guy Keulemans","R. Adams"],"tags":["Circular economy","Reuse","Digital economy","Telecommunications","Architectural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-04","doi":"https://doi.org/10.1038/s42949-024-00164-x","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7166735839","name":"Toward Secure Software-Defined Industrial Networks Through Asset Administration Shell Digital Twins","source":"openalex","abstract":"Industrial digitalization is moving from Industry 4.0 toward Industry 5.0’s emphasis on resilience, human-centric operation, and sustainability. This shift is enabled by the convergence of Operational Technology and Information Technology, but this integration also broadens the exposure of industrial infrastructures to cyber threats targeting communication integrity and process continuity. Mitigating these risks requires network control that is both programmable and aware of each asset’s operational context. However, there is still a lack of operational interfaces that translate the semantics of industrial assets into programmable, runtime-enforceable network behavior. In this paper, following a Design Science Research methodology, we introduce an asset-aware, closed-loop network control abstraction in which the industrial network itself is modeled as a managed asset through Asset Administration Shells. Asset state, lifecycle phase, and operational intent are translated into network policies enforced at runtime on programmable data planes, while in-network telemetry is exposed at the asset level and correlated with operational metrics. We validate the abstraction on a hybrid testbed that combines virtualized components with industrial-grade hardware and virtualized 5G connectivity, through three security-oriented use cases: (i) asset-driven customization of forwarding policies; (ii) human-centric secure maintenance with controlled remote access over 5G; and (iii) anomaly detection and isolation based on cross-layer telemetry correlation. The results show that asset-level operations can drive programmable network enforcement and make network telemetry available at the asset layer. Finally, the work outlines a first step toward standardizing network-oriented asset submodels by separating control-plane operations from data-plane state and telemetry.","url":"https://doi.org/10.3390/fi18070347","authors":["Riccardo Bacca","Andrea Melis","Lorenzo Rinieri","Roberto Girau","Marco Prandini","Franco Callegati"],"tags":["Computer science","Asset (computer security)","Testbed","Industrial control system","Asset management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.3390/fi18070347","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7113899863","name":"Context-aware Drift Detection for Quality-aware Data-Driven Smart City Digital Twins","source":"openalex","abstract":"As urban environments become more complex, Smart Cities will increasingly depend on the integration of Internet of Things (IoT) devices and Digital Twin (DT) technologies to enable real-time monitoring, simulation, and predictive analytics, to ultimately improve quality of life. Data-driven approaches play a crucial role in optimizing city operations, but their effectiveness is hampered by data drift, shifts in data distributions over time that can degrade model performance. Frequent model retraining is a common solution, but it can be ineffective or lead to high computational costs. Alternatively, drift-driven approaches are often vulnerable to false detections caused by noisy IoT data, hardware failures, or cyber threats. To address that problem, we propose a context-aware drift detection algorithm that takes advantage of local correlations between data sources to detect actual real drifts while avoiding false positives. Furthermore, we present a decentralized layered architecture for embedding drift detection within the Smart City ecosystem and evaluate our approach by using a real-world dataset. Our approach demonstrates the viability of context-aware distributed drift detection, enhancing the reliability and efficiency of ML-driven Smart City applications.","url":"https://doi.org/10.1145/3748699.3749824","authors":["Luca Serfilippi","Armir Bujari","Antonio Corradi"],"tags":["Smart city","Computer science","Reliability (semiconductor)","Real-time computing","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-03","doi":"https://doi.org/10.1145/3748699.3749824","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411829077","name":"Smart Water Management: Governance Innovation, Technological Integration, and Policy Pathways Toward Economic and Ecological Sustainability","source":"openalex","abstract":"Smart water management (SWM) represents a transformative shift in urban water governance, integrating advanced digital technologies—including the Internet of Things (IoT), Artificial Intelligence (AI), big data analytics, and digital twin modeling—to enable real-time monitoring, predictive analytics, and adaptive decision-making. While drawing extensively on a structured literature review to build its theoretical foundation, this manuscript is primarily presented as a research paper that combines conceptual analysis with empirical insights derived from comparative case studies, rather than a standalone comprehensive review. A five-layer system architecture—encompassing data sensing, transmission, processing, intelligent analysis, and decision support—is introduced to evaluate how technological components interact across operational layers. The model is applied to two representative cases: Singapore’s Smart Water Grid and selected pilot programs in Chinese cities (Shenzhen, Hangzhou, Beijing). These cases are analyzed for their level of digital integration, policy alignment, and performance outcomes, offering insights into both mature and emerging smart water implementations. Findings indicate that the transition from manual to intelligent governance significantly enhances system performance and robustness, particularly in response to climate-induced disruptions. Despite benefits such as reduced non-revenue water and improved pollution control, challenges including high initial investment, data interoperability issues, and cybersecurity risks remain critical barriers to widespread adoption. Policy recommendations focus on establishing national standards, promoting cross-sectoral data sharing, encouraging public–private partnerships, and investing in workforce development to support the long-term sustainability and scalability of smart water initiatives.","url":"https://doi.org/10.3390/w17131932","authors":["Youjin Dai","Zhengwei Huang","Naveed Khan","Muwaffaq Safiyanu Labbo"],"tags":["Sustainability","Corporate governance","Business","Integrated water resources management","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-27","doi":"https://doi.org/10.3390/w17131932","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409715428","name":"A Systematic Review on the Combination of VR, IoT and AI Technologies, and Their Integration in Applications","source":"openalex","abstract":"The convergence of Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Things (IoT) offers transformative potential across numerous sectors. However, existing studies often examine these technologies independently or in limited pairings, which overlooks the synergistic possibilities of their combined usage. This systematic review adheres to the PRISMA guidelines in order to critically analyze peer-reviewed literature from highly recognized academic databases related to the intersection of VR, AI, and IoT, and identify application domains, methodologies, tools, and key challenges. By focusing on real-life implementations and working prototypes, this review highlights state-of-the-art advancements and uncovers gaps that hinder practical adoption, such as data collection issues, interoperability barriers, and user experience challenges. The findings reveal that digital twins (DTs), AIoT systems, and immersive XR environments are promising as emerging technologies (ET), but require further development to achieve scalability and real-world impact, while in certain fields a limited amount of research is conducted until now. This review bridges theory and practice, providing a targeted foundation for future interdisciplinary research aimed at advancing practical, scalable solutions across domains such as healthcare, smart cities, industry, education, cultural heritage, and beyond. The study found that the integration of VR, AI, and IoT holds significant potential across various domains, with DTs, IoT systems, and immersive XR environments showing promising applications, but challenges such as data interoperability, user experience limitations, and scalability barriers hinder widespread adoption.","url":"https://doi.org/10.3390/fi17040163","authors":["Dimitris Kostadimas","Vlasios Kasapakis","Konstantinos Kotis"],"tags":["Computer science","Internet of Things","Human–computer interaction","Computer architecture","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-07","doi":"https://doi.org/10.3390/fi17040163","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4405152876","name":"Towards a digitally enabled intelligent coal mine integrated energy system: Evolution, conceptualization, and implementation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.seta.2024.104128","authors":["Bo Zeng","Xinyu Yang","Pinduan Hu","Yuqing Wang","Houqi Dong","Dunwei Gong","Xianming Ye"],"tags":["Conceptualization","Coal mining","Coal","Computer science","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-08","doi":"https://doi.org/10.1016/j.seta.2024.104128","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411420590","name":"What Kind of Rural Digital Configurations Contribute to High County-Level Economic Growth? A Study Conducted in China’s Digital Village Pilot Counties","source":"openalex","abstract":"The digitalization of rural areas has emerged as a crucial strategy for promoting economic development, yet the phenomenon of “digital suspension” poses a challenge, where the lack of digital integration in certain sectors may hinder economic progress. This study delves into this issue by identifying multiple configurations that drive county-level economic growth. More specifically, this study aims to explore how rural digitalization contributes to county-level economic growth through different combinations of environmental and subject-level factors. To address this issue, this study applies the fuzzy-set qualitative comparative analysis method, guided by systems thinking and ecological systems theory. The analysis is based on 89 case samples selected from China’s digital village pilot counties, using data from the China County-level Digital Rural Index Research Report jointly released by Peking University and Ali Research Institute, published in 2022, and other county-level statistical data. The study explores the complex causal mechanisms and configuration paths through which rural digitalization empowers county-level economic growth. This study found that (1) the conditions necessary to generate high county-level economic growth do not exist in the process of rural digitalization (at least not within the digital village pilot); (2) four configurations facilitate high county-level economic growth: digital governance-led configuration, dual promotion of digital governance and digital infrastructure, dual promotion of digital life and digital infrastructure, and dual promotion of digital life and digital economy; and (3) two configurations yield non-high county-level economic growth and exhibit asymmetrical relationships with those configurations conducive to high growth. These research findings not only broaden the application of systems thinking and ecological systems theory in the realm of rural digitalization but also offer practical insights into strategies for enhancing county-level economic growth.","url":"https://doi.org/10.3390/systems13060488","authors":["Guojie Xie","Yu Tian","Lijuan Huang","Muyun Li","John Blenkinsopp"],"tags":["Promotion (chess)","China","Economic growth","Dual (grammatical number)","Rural area"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.3390/systems13060488","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7128481497","name":"Hybrid Digital Twin Framework for Real-Time Indoor Air Quality Monitoring and Filtration Optimization","source":"openalex","abstract":"This study presents a hybrid digital twin system designed for real-time indoor air quality (IAQ) monitoring and filtration optimization within a residential environment. Using a network of low-cost sensors, physics-based simulations, and machine learning models, the system dynamically replicates the indoor environment to enable continuous assessment and optimization of key pollutants, including particulate matter, volatile organic compounds, and carbon dioxide. The system architecture integrates mass balance and decay models, computational fluid dynamics simulations, regression models, and neural network algorithms, all evaluated under both filtering and non-filtering conditions. A graphical user interface allows users to interact with the system, test air purifier placements, and visualize air quality dynamics in real time. The results demonstrate that, within this system, simpler models, such as linear regression, outperform more complex architectures under data-limited conditions, achieving test-set coefficients of determination ranging from 0.97 to 0.99 across multiple IAQ parameters. At the same time, the hybrid modelling approach enhances interpretability and robustness. Overall, this digital twin system contributes to smart building management by offering a scalable, interpretable, and cost-effective solution for proactive IAQ control and personalized decision-making.","url":"https://doi.org/10.3390/atmos17020184","authors":["Valentino Petrić","Dejan Strbad","Nikolina Račić","Tareq Hussein","Simonas Kecorius","Francesco Mureddu","Mario Lovrić"],"tags":["Indoor air quality","Interpretability","Computer science","Real-time computing","Filtration (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.3390/atmos17020184","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4220781270","name":"Digitalization of Agricultural Industry – the Vector of Strategic Development of Agro-industrial Regions in Russia","source":"openalex","abstract":"Today the strategic vector of agricultural development is connected with the introduction of digital technologies. Digitalization leads not only to transformation of production processes in the industry but as well has much wider environmental, social and institutional context. This paper is aimed at finding out what digital transformations have the most strategic significance for social and economic development of agro-industrial regions of the south of Russia, as well as at revealing the factors fostering or constraining these processes. Digital transformation in the south Russian regions has just affected the first level – application of new information technologies for raising economic performance and simultaneous alleviating environmental problems. The perspectives of digitalization of the agriculture are connected with developing open collaborative systems with different types of business collaborations. The authors highlight the main problems of realizing digital transformations in the agriculture of the south regions solving of which can be provided by means of authorities’ institutional decisions within regional strategies of digitalization. This research gives an idea of the potential of agricultural digitalization and its results can be used for forming theoretical and methodological grounds for strategic development of agriculture in agro-industrial regions in modern circumstances.","url":"https://doi.org/10.7160/aol.2022.140104","authors":["Olga Chernova","Инна Митрофанова","Izabela Adamičková","Elena Valerjevna Kleitman"],"tags":["Agriculture","Context (archaeology)","Business","Digital transformation","Strategic development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-29","doi":"https://doi.org/10.7160/aol.2022.140104","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409535435","name":"Digital Transformation in Aftersales and Warranty Management: A Review of Advanced Technologies in I4.0","source":"openalex","abstract":"This research examines how Industry 4.0 technologies such as artificial intelligence (AI), the Internet of Things (IoT), and digital twins (DT) are used in the digital transformation process of warranty management. This research focuses on converting traditional warranty management practices from reactive systems to predictive and proactive ones, improving operational performance and customer experiences. Based on an already established eight-phase framework for warranty management, this paper reviews machine learning (ML), natural language processing (NLP), and predictive analytics, among other advanced technologies, to enhance warranty optimization processes. Best practices in the automotive sector, as well as in the railway and aeronautics industries, have experienced substantial achievements, including optimized resource utilization and savings, together with tailored services. This study describes the limitations of capital investments, labor training requirements, and data protection issues. Therefore, it suggests implementation sequencing and staff education approaches as solutions. In addition to the current evolution of Industry 4.0, this research’s conclusion highlights how digital warranty management advancements optimize resources and reduce costs while adhering to international standards and ethical data practices.","url":"https://doi.org/10.3390/a18040231","authors":["Vicente González-Prida","Carlos Parra","Pablo Viveros","Fredy Kristjanpoller","Adolfo Crespo Márquez"],"tags":["Warranty","Transformation (genetics)","Digital transformation","Computer science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-17","doi":"https://doi.org/10.3390/a18040231","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411969184","name":"Workflow based on GANs and CNNs towards a digital twin for the 3D morphological characterization of latex aggregates","source":"openalex","abstract":"This paper presents a workflow for estimating the 3D morphological characteristics of latex aggregates from 2D in-situ images using deep learning and stochastic geometry models. The method includes automatic image segmentation using a Convolutional Neural Network (CNN), 3D object generation using a Generative Adversarial Network (GAN), and estimation of 3D characteristics. Validation with synthetic datasets shows effective size, shape, and texture characterization, with the Mean Absolute Percentage Error (MAPE) for morphological characteristics of generated objects being around 5% at most. Application to real in-situ images demonstrates feasibility and consistency with experimental observations, successfully generating a digital twin of the latex aggregate population. The method’s flexibility and efficiency make it suitable for real-time industrial applications, offering potential for process monitoring and quality control. Future work will focus on enhancing model performance and adapting to different particle types for broader applicability in various industrial settings.","url":"https://doi.org/10.1016/j.powtec.2025.121286","authors":["Léo Théodon","Carole Coufort‐Saudejaud","Johan Debayle"],"tags":["Workflow","Characterization (materials science)","Computer science","Materials science","Chemical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-02","doi":"https://doi.org/10.1016/j.powtec.2025.121286","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2969577700","name":"Environmental taxation in the digital world","source":"openalex","abstract":"As the digital economy rapidly unfolds, the time is right to consider how governmental policies might avoid or minimize adverse consequences of this new economic revolution. This chapter explores the potential for environmental pricing to address the digital world’s negative environmental externalities. To provide a concrete context, it delves into selected pockets of digital life: the digital world’s infrastructure, in particular spectrum and electricity; online retail, with a focus on packaging and drone delivery; major tech headquarters and new forms of transportation that influence the urban landscape; and digital payment systems that change how we pay taxes. These vignettes can provide only a partial glimpse into the implications of the Digital Revolution for the theory and practice of environmental taxes, but they highlight the question of whether environmental taxation should innovate alongside the technological changes that drive economies and society.","url":"https://doi.org/10.4337/9781789904185.00011","authors":["Janet E. Milne"],"tags":["Externality","Context (archaeology)","Digital Revolution","Digital economy","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-30","doi":"https://doi.org/10.4337/9781789904185.00011","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7160823815","name":"Blockchain-Secured Digital Twin Framework for Fuzzy Multi-Objective Optimization in Supply Chain Finance","source":"openalex","abstract":"This research presents an integrated framework for supply chain finance in which digital twin, blockchain, and multi-objective fuzzy optimization are used in synergy to improve financial decision-making in dynamic and uncertain environments. In this framework, the digital twin acts as a real-time monitoring and forecasting layer, blockchain acts as a trust and transparency infrastructure, and the optimization model acts as the decision-making core. To evaluate the proposed framework, a scenario-based mathematical model was developed and analyzed using a combination of real-world and simulated data. The results showed that the proposed framework was able to reduce the total cost by 18.6% and increase the return on investment to 12.4%. Also, the use of the digital twin framework significantly reduced financial risks and delays, while the integration of blockchain improved the transparency, traceability, and reliability of transactions and reduced operational errors. Overall, the findings show that this framework has high potential for developing smart, transparent, and resilient financial systems in the supply chain context.","url":"https://doi.org/10.3390/fintech5020042","authors":["Hamed Nozari","Zornitsa Yordanova"],"tags":["Supply chain","Reliability (semiconductor)","Computer science","Transparency (behavior)","Fuzzy logic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-10","doi":"https://doi.org/10.3390/fintech5020042","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7165117393","name":"Human digital twins in personalized and predictive healthcare: a comprehensive review of technologies, applications, and future directions","source":"openalex","abstract":"The role of real-time data, artificial intelligence, and computational modeling is discussed in this review analytics Human Digital Twins (HDTs) creation- virtual persons of personalities patients which advocate predictive simulation to forecast of physiological behavior, treatment responses, and disease tracks. A synthesis of existing knowledge is done up to the technologies is a foundation to HDTs, clinical application and implementation issues of interest to precision medicine. The conceptual basis of engineering of the digital twins is analyzed and production principles, and technologies, which allow to produce HDTs-machine. Are physiological modeling, learning and distributed cloud-based computing infrastructure identified and evaluated. Cards: cardiology, oncology, genomics and immunology are critically appraised. It is based on the comparative analysis of 35 peer-reviewed documents and technical as it was reported, HDTs have great potential in enhancing personalized prediction of side effects, optimization of clinical trial design using virtual, and scheduling of treatment cohort simulation. But, model standards, an important component of model validation, are not present interoperability, ethical governing mechanisms and regulatory avenues to clinical deployment. The main priority research directions are determined, such as the development of common-validation techniques; implementation of federated learning frameworks to support sharing of data with data privacy limitations; incorporation of multi-omics data into physiological models; and introducing open ethical review procedures. This review provides substantive evidence basis to researchers, clinicians and policy makers to market the. Knowledge about HDTs technology to population health and health care provision revolutionizes.","url":"https://doi.org/10.3389/fdgth.2026.1827007","authors":["A. Mohan Babu","E. S. Madhan"],"tags":["Computer science","Data science","Big data","Health care","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-19","doi":"https://doi.org/10.3389/fdgth.2026.1827007","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415134092","name":"ANALISIS LITERATUR MENGENAI PERAN AI AGENT DALAM EFISIENSI AUTOMASI DIGITAL","source":"openalex","abstract":"Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah mendorong lahirnya AI Agent sebagai komponen kunci dalam mendukung efisiensi dan automasi digital di berbagai sektor. AI Agent berfungsi sebagai sistem cerdas yang mampu melakukan tugas-tugas secara otonom dan adaptif, mulai dari chatbot hingga sistem multi-agent berbasis pembelajaran mesin. Penelitian ini bertujuan untuk menganalisis kontribusi AI Agent terhadap efisiensi operasional dan produktivitas kerja organisasi, serta mengevaluasi tantangan dan potensi pengembangannya di masa depan. Pendekatan penelitian dilakukan melalui Systematic Literature Review (SLR) dengan merujuk pada metodologi Kitchenham, yang mencakup proses pencarian, seleksi, dan evaluasi terhadap 31 artikel ilmiah dari tahun 2017–2025, dengan 28 artikel memenuhi kriteria inklusi. Pencarian literatur dilakukan melalui lima database ilmiah utama, yaitu IEEE Xplore, ResearchGate, SpringerLink, Scopus, dan arXiv, dengan kata kunci terkait AI Agent dan efisiensi automasi digital. Hasil analisis menunjukkan bahwa penerapan AI Agent dapat meningkatkan efisiensi operasional hingga 40% dan mengurangi waktu produksi sebesar 30%. Teknologi pendukung seperti Large Language Models (LLM), Internet of Things (IoT), dan arsitektur multi-agent turut memperkuat kemampuan adaptasi AI Agent dalam konteks industri kompleks. Namun, integrasi teknologi ini masih menghadapi kendala, seperti kurangnya kesiapan SDM, hambatan struktural organisasi, serta isu etika dan transparansi sistem. Sebagai usulan riset lanjutan, studi ini merekomendasikan pengembangan model evaluasi kinerja AI Agent lintas sektor, integrasi dengan teknologi emerging seperti digital twin dan edge computing, serta analisis kesiapan organisasi dalam implementasi sistem AI. Dengan demikian, penelitian ini memberikan landasan strategis untuk optimalisasi AI Agent yang berkelanjutan dan bertanggung jawab dalam mendukung transformasi digital di berbagai sektor.","url":"https://doi.org/10.35145/joisie.v9i1.4964","authors":["Fathoni Fathoni","Muhammad Tsabita Robani","Fakih Rangga Aderiyana","Nico Sabar Manahan","Muhammad Pandu Wilantara"],"tags":["Computer science","Political science","Chatbot","Business","Humanities"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.35145/joisie.v9i1.4964","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412170338","name":"Automated District-Level Energy Demand Modeling Using EnergyPlus Empowered by Digital Twin Technology","source":"openalex","abstract":"Abstract. The global shift toward decentralization and decarbonization in the energy sector demands robust tools for accurately simulating building energy demand at the district scale. Although EnergyPlus is well-regarded for its detailed building-level modeling, it poses challenges when extended to larger districts with diverse building typologies. This paper presents both a conceptual architecture and a working prototype of an automated pipeline that addresses these limitations. Leveraging open-access geo-spatial and non-spatial data from the Netherlands—including over 10 million buildings—the pipeline seamlessly scales EnergyPlus simulations to the district level. The system employs the OGC 3D Tiles standard for efficient streaming and real-time visualization of simulation results across a nationwide 3D Tileset. Implemented in Python and tested on local machines, the pipeline is poised for cloud-based deployment to further enhance scalability and performance. By integrating a digital twin for real-time monitoring and scenario testing, the approach enables efficient bulk operations, interactive decision support, and clearer insights into urban-scale energy consumption patterns. The resulting automation and scalable workflows offer valuable contributions to sustainable urban planning, ensuring that efficiency opportunities can be quickly identified and acted upon at multiple spatial scales.","url":"https://doi.org/10.5194/isprs-annals-x-g-2025-397-2025","authors":["Amin Jalilzadeh","Azarakhsh Rafiee","Stefan de Graaf","Thaleia Konstantinou","Peter J.M. van Oosterom"],"tags":["Twin cities","Computer science","Energy demand","Environmental economics","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-10","doi":"https://doi.org/10.5194/isprs-annals-x-g-2025-397-2025","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W3210731766","name":"Hidden and Latent Factors’ Influence on Digital Technology Sustainability Development","source":"openalex","abstract":"The modern world can be described as a sociotechnical system, the existence and development of which are determined by the successful interaction of technology and society. When introducing a technology, it is important to assess its potential sustainability. There are currently more than a hundred different sustainability assessment methods that allow for the sustainability of a technology to be predicted on the basis of a quantitative assessment of basic impact indicators. However, as the complexity of technology increases, there are hidden and latent factors inherent in technology that sooner or later affect the sustainability of technology and pose significant risks. Identifying these factors is particularly important for digital technologies, as they are the backbone of any other current technology. The aim of this article is to identify and explain the impact of a set of hidden and latent factors on the sustainability of digital technologies by using a system dynamics simulation and the possibilities offered by Bayesian networks. The results of this study are useful for technology sustainability researchers, technology authors, and investors.","url":"https://doi.org/10.3390/math9212801","authors":["Egīls Ginters","Jagadeesh Chakkaravarthy Revathy"],"tags":["Sustainability","Sociotechnical system","Set (abstract data type)","Computer science","Technology development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-04","doi":"https://doi.org/10.3390/math9212801","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4379799203","name":"Best Practices in Construction 4.0 – Catalysts of digital innovations (Part II)","source":"openalex","abstract":"The study examines corporate strategies from different angles, defines potential fields of application and works out existing empirical values and trends in the digitization process of the building sector. It highlights the unintended consequences of technological development and offers concrete practical approaches for responsible use. Using the qualitative research method, the study concludes that digital methods, such as BIM and Digital Twins, and Artificial Intelligence (AI) can add value, significantly reduce resources and increase sustainability. The study is part of a larger primary research on Corporate Digital Responsibility (CDR) in Construction 4.0; it identifies, analyzes and systematically evaluates the pillars of a sustainable digital transformation, especially in the Construction Industry. The holistic, interdisciplinary view of this study aims to provide orientation for small to medium-sized companies (SMEs) developing their individual digital strategy. An outline of the necessary prerequisites but also design options, as they result from the evaluation of expert interviews and literature research, supports companies in the design of Construction 4.0 that is in-line with the needs of people, society and the environment and shaping more economically efficient building life cycles. Part II on Best Practices in Construction 4.0 follows up on the published Part I. It highlights that digital transformation has also reached the traditionally small-scale AEC industry (Architecture, Engineering and Construction) and catalyzes the variety of innovations.","url":"https://doi.org/10.30564/jaeser.v6i2.5408","authors":["Bianca Christina Weber-Lewerenz","Marzia Traverso"],"tags":["Digitization","Variety (cybernetics)","Sustainability","Digital transformation","Best practice"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-20","doi":"https://doi.org/10.30564/jaeser.v6i2.5408","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7131116382","name":"Co-Creating Climate-Resilient Streets: Digital Twin-Based Simulations for Outdoor Thermal Comfort","source":"openalex","abstract":"Rapid urbanization and climate change are intensifying heat exposure in cities, making effective adaptation strategies essential. This study presents a streamlined digital twin modeling framework for simulating the impact of nature-based solutions (NBSs) on outdoor thermal comfort, developed within the Intelligent Communities Lifecycle (ICL) software suite. The approach automates the import of urban geometry from OpenStreetMap and integrates geolocated weather data, enabling users to efficiently test scenarios involving NBSs and surface material modifications. Outdoor thermal comfort is quantified using the Universal Thermal Climate Index (UTCI), with results visualized through an interactive cloud-based 3D platform to support participatory urban planning. The methodology is demonstrated in Meunierstraat, Leuven (Belgium), where three planning alternatives are compared across seasonal extremes. Simulations show that targeted NBS interventions, particularly temporary participatory measures, can improve thermal comfort under extreme heat. However, the benefits are seasonally dependent and spatially heterogeneous, emphasizing the value of high-resolution, scenario-based analysis. This integrated workflow enhances both technical evidence and stakeholder engagement. While the tool is capable of linking outdoor comfort improvements with building energy performance and carbon emissions, the present paper focuses solely on the outdoor thermal comfort results, leaving indoor–outdoor coupling analysis as a direction for future work.","url":"https://doi.org/10.3390/smartcities9020039","authors":["Koldo Urrutia-Azcona","Valentina Bonetti","Mohammad Mizanur","Nele Janssen","Niall Buckley","Mark de Wit","Kieran Murray","Niall Byrne"],"tags":["Thermal comfort","Workflow","Environmental science","Computer science","Urbanization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-22","doi":"https://doi.org/10.3390/smartcities9020039","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W3212941463","name":"Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications","source":"openalex","abstract":"The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from “connected things” to “connected intelligence”. However, state-of-the-art deep learning and big data analytics based AI systems require tremendous computation and communication resources, causing significant latency, energy consumption, network congestion, and privacy leakage in both of the training and inference processes. By embedding model training and inference capabilities into the network edge, edge AI stands out as a disruptive technology for 6G to seamlessly integrate sensing, communication, computation, and intelligence, thereby improving the efficiency, effectiveness, privacy, and security of 6G networks. In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models. New design principles of wireless networks, service-driven resource allocation optimization methods, as well as a holistic end-to-end system architecture to support edge AI will be described. Standardization, software and hardware platforms, and application scenarios are also discussed to facilitate the industrialization and commercialization of edge AI systems.","url":"https://doi.org/10.1109/jsac.2021.3126076","authors":["Khaled B. Letaief","Yuanming Shi","Jianmin Lu","Jianhua Lu"],"tags":["Computer science","Artificial intelligence","Enhanced Data Rates for GSM Evolution","Edge computing","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-08","doi":"https://doi.org/10.1109/jsac.2021.3126076","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7156293819","name":"Critical assessment on digital twins implementation for flood risk management and governance: A systematic literature review","source":"openalex","abstract":"• A framework is built for assessing the DTs’ implementation for flood management. • DTs development for flood risk management (FRM) and governance (FRG) is nascent. • Current DTs implementation in FRM is an extension of the traditional control paradigm. • There is a lack of attention on the DTs implementation for FRG. • A DTs integrated human-nature system could support policy and decision-making.","url":"https://doi.org/10.1016/j.ijdrr.2026.106165","authors":["TzuHsiang Lo","Alexandra Malmström","Sirkku Juhola"],"tags":["Systematic review","Risk assessment","Risk management","Risk analysis (engineering)","Systematic risk"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-27","doi":"https://doi.org/10.1016/j.ijdrr.2026.106165","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7117105230","name":"Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach","source":"europepmc","abstract":"Digital Twins (DTs) are digital replicas of physical entities. The use of DTs in healthcare is a growing area of research. With DTs, there is potential to revolutionize healthcare with the assistance of Artificial Intelligence. This can lead to achieving precision, personalization, and value addition in healthcare. Contributing to this field, we present one of the first attempts of uncovering time series models of decompensation of heart failure. This was performed using some of the first data collected from the pilot phase of the SmartHeart study, in which an at-home, wearable, wireless sensor-based digital self-monitoring system for people with heart failure was tested.","url":"https://doi.org/10.3390/s26010082","authors":["Nilmini Wickramasinghe","Nalika Ulapane","Yuxin Zhang","Paul Jansons","Gunnar Cedersund","Ralph Maddison"],"tags":["Human heart","Decompensation","Series (stratigraphy)","Computer science","Medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.3390/s26010082","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4406384338","name":"Design and Implementation of a Virtual Hoisting System: A Digital Twin Approach for Early Warning and Fault Detection","source":"openalex","abstract":"Mine hoists are vital for efficiently transporting materials and personnel between surface and underground mining operations, making their safety and reliability paramount. However, conventional monitoring approaches, which rely on distributed sensors or video surveillance, are limited in their ability to capture the global dynamics of the system, leading to suboptimal decision-making and potential safety risks. This research introduces the integration of digital twin technology into the monitoring and management of mine hoists to address these challenges. This study uses Unity-based modeling to create a virtual system capable of real-time synchronization with its physical counterpart. The digital twin simulates dynamic load changes, predicts potential faults, and optimizes operational parameters through intelligent algorithms. A robust monitoring framework was developed, consisting of a multi-layered architecture that integrates physical systems, real-time data collection, and virtual simulations. Field tests on a multi-rope friction hoist verified the system’s performance, with results demonstrating improved stability, accuracy, and predictive capabilities. A health evaluation model further enhances safety by categorizing the hoist’s operational state into health levels such as ‘healthy,’ ‘sub-healthy,’ ‘warning,’ and ‘fault.’ This model identifies critical risks, such as wire rope tension anomalies, and provides early warnings, ensuring timely interventions.","url":"https://doi.org/10.54536/ajise.v4i1.4098","authors":["Md Khairul Basher","Md Tariqul Islam","Mushtaq Ahmed","Akash Joarder"],"tags":["Computer science","Fault (geology)","Warning system","Fault detection and isolation","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-14","doi":"https://doi.org/10.54536/ajise.v4i1.4098","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4281635424","name":"DIGITAL TRANSFORMATION IN MANUFACTURING SMEs: A BIBLIOMETRIC ANALYSIS USING VOSviewer","source":"openalex","abstract":"The present paper aims to identify the main trends and gaps in the digitalization of manufacturing SMEs. The most significant literature on this emergent theme was gathered through a criterion search, resulting in discovering 4060 related documents. To narrow this considerable number of documents, a bibliometric analysis was performed. A database was exported from Clarivates’ Web of Science for clusters analysis in VOSviewer’s software. Afterward, it was possible to identify the top authors and documents. Four trends were identified: one Asian, headed by China; another Anglo-Saxon, led by the USA; and two European trends, run by Italy and Germany. Furthermore, were identified two research gaps: (1) The development of pro-environmental technology and (2) digital readiness models for manufactur-ing SMEs.","url":"https://doi.org/10.3846/bm.2022.852","authors":["Filipe Machado","Nelson Duarte","António Amaral","Madalena Araújo"],"tags":["Bibliometrics","Digital transformation","China","Software","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-12","doi":"https://doi.org/10.3846/bm.2022.852","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4408816959","name":"Unraveling barriers to digital twin adoption under Construction 4.0: A DEMATEL-ISM-MICMAC approach","source":"openalex","abstract":"Digital twin (DT) technology is revolutionizing the architecture, engineering, construction, and operation (AECO) industry, driven by the advancements of Construction 4.0 (C4.0). Despite this, adopting DT in the AECO sector remains limited due to various barriers. This study, driven by four research questions (RQ), aims to advance DT adoption in the AECO industry under C4.0 using an integrated approach. The degrees of influence and importance ranking of barriers are assessed through the decision-making trial and evaluation laboratory (DEMATEL). The hierarchy and causal relationships among barriers are revealed through interpretative structural modeling (ISM). Then, barriers are divided into four clusters employing the cross-impact matrix multiplication applied to classification (MICMAC) method. The paper reveals that \"lack of government financial and policy support\" is the most critical barrier, \"lack of trust and long-term perspective in DT\" is the most significant direct-influence barrier, and \"immature 3D engine technology\" is the most fundamental barrier. By exploring interrelationships and prioritizing barriers, the study provides insights to enhance adopting DT in the AECO industry in the context of C4.0.","url":"https://doi.org/10.70401/jbde.2025.0002","authors":["Wenbo Zhao","Kaiyang Wang","Fangyu Guo","Jian Li Hao","Qifeng Zhang","Qi Jing"],"tags":["Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-25","doi":"https://doi.org/10.70401/jbde.2025.0002","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4410457614","name":"Smart Aircraft Monitoring Using AI-Driven Digital Twins and IoT-Based Data Acquisition","source":"openalex","abstract":"The convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Digital Twin (DT) technologies is reshaping modern aerospace systems by enabling intelligent, predictive, and data-driven maintenance operations.This paper presents a modular and scalable Digital Twin framework that integrates IoT-enabled real- time data acquisition with AI-driven analytics to support aircraft lifecycle management. The proposed approach combines data-driven models— such as Random Forests and deep learning—with physics-based simulations to enhance system diagnostics, anomaly detection, and remaining useful life (RUL) estimation. A layered architecture is outlined, incorporating edge computing, cloud services, and API connectivity to facilitate seamless communication between physical systems and their virtual counterparts. The paper also addresses current challenges in interoperability, model fidelity, and regulatory constraints, while offering a roadmap for implementing hybrid AI-IoT Digital Twins in real-world aerospace applications. This work aims to guide the design of next-generationaviation systems that are adaptive, autonomous, and resilient across operational contexts.","url":"https://doi.org/10.36948/ijfmr.2025.v07i03.45022","authors":["Yasmeen Attar"],"tags":["Internet of Things","Computer science","Data acquisition","Real-time computing","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.36948/ijfmr.2025.v07i03.45022","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4388049812","name":"Research on Intelligent Operation and Maintenance (O＆M) Method of Complex Products based on Digital Twin","source":"openalex","abstract":"With the development of advanced data analysis technology, the manufacturing industry is moving towards the direction of intelligence. To solve the problems of low operation and maintenance (O&M) efficiency, passive O&M personnel and low intelligence of complex products, a digital twin-based intelligent O&M method for complex products is proposed. A digital twin intelligent O&M model with the physical O&M center, virtual O&M center, twin data platform and O&M service system is established. In the case of product fault classification, the maintenance mechanism is designed and the O&M process in different states is analyzed. Then the implementation process and key technologies are described in detail. Through the digital twin model, the virtual-real interaction and data dynamic update of O&M are realized. Finally, taking the key components of a certain type of EMU bogie as an example, the K-means clustering and Apriori algorithm are used to analyze the fault data. Moreover, the validity and feasibility of the proposed model are verified by applying the fault data to the digital twin architecture. The proposed model and key technologies can provide a new solution for the intelligent O&M of complex products.","url":"https://doi.org/10.53106/199115992023103405003","authors":["Chuanwei Zhang Chuanwei Zhang","Lingling Dong Chuanwei Zhang","Yunrui Wang Lingling Dong"],"tags":["Key (lock)","Cluster analysis","Fault (geology)","Computer science","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-01","doi":"https://doi.org/10.53106/199115992023103405003","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7136542842","name":"Application of construction site management based on digital twin and point cloud semantic segmentation technology","source":"openalex","abstract":"Construction sites are particularly susceptible to the effects of extreme weather, with unsafe items posing a significant risk of causing substantial damage to construction projects and neighboring communities. Furthermore, data regarding the materials, machinery, and buildings present at the site are frequently obtained through manual inspection or on-site photography before the advent of extreme weather conditions. This process is resource-intensive and time-consuming. The core innovation of this study lies in the integration of digital twin technology with RandLA-Net-based point cloud semantic segmentation, optimized specifically for construction site safety management under extreme weather conditions. To achieve systematic disaster preparedness for construction sites, this study explores the potential of utilizing three-dimensional (3D) point cloud technology in construction site management. This involves acquiring location information about materials and machinery on construction sites through the development of a construction site point cloud identification system. This system is designed to identify and analyze potential risk factors in the digital twin model of a construction site, thereby optimizing the site layout at all stages. Furthermore, it enables practitioners to rapidly identify, locate, and assess potential risk factors on-site, facilitating the prompt and effective implementation of measures to prevent extreme weather.","url":"https://doi.org/10.1371/journal.pone.0340274","authors":["Wenli Qin"],"tags":["Point cloud","Computer science","Cloud computing","Process (computing)","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-16","doi":"https://doi.org/10.1371/journal.pone.0340274","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409751272","name":"The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle","source":"openalex","abstract":"Constructing a static exterior model of railway passenger station is a preliminary and crucial step in achieving a digital twin station. Station modeling often relies on manual techniques, requiring significant labor for stations spanning tens of thousands of square meters. While the interior decoration is symmetrical, the asymmetrical placement of equipment often leads to confusion in manual modeling. This paper proposes a novel station static model reconstruction method - MSCRAGS (Mobile vehicle-Sparse Sampling-Colmap-Resolution adjustment-Gaussian Splatting). The MSCRAGS integrates the requirements for flexible control of static exterior models by utilizing mobile vehicle for data collection and incorporates the sparse multi-view spatial sampling approach. It involves collecting multi-height and multi-angle appearance color data of passenger operation elements to construct preliminary point clouds. Subsequently, 3d Gaussian splatting is employed for rendering, achieving high-fidelity reconstruction of production elements. Moreover, according to the requirements for the precision control of static exterior models, the rendering effects are reshaped with resolution adjustment to obtain static exterior models of station production elements at various resolutions. Experiments conducted at Qinghe Station demonstrate that compared to other state-of-art modeling methods, our approach significantly reduces modeling time and improves modeling accuracy, showing superior performance in modeling high-fidelity indices.","url":"https://doi.org/10.1038/s41598-025-96535-0","authors":["Xiaoshu Wang","Xiaojun Lv","Tianyun Shi","Lingbin Bu","Wei Bai","Kaibei Peng"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-24","doi":"https://doi.org/10.1038/s41598-025-96535-0","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W3092449784","name":"Composite wind turbine blade recycling - value creation through Industry 4.0 to enable circularity in repurposing of composites","source":"openalex","abstract":"Abstract Composite waste, especially from wind turbine blades will increase foreseeably. The motivation of this paper is to develop new solutions to repurpose the global material stream coming from wind turbine blades at their end of use. Its suggested to use the composite structure for repurposing, differing from the available recycling methods that aim for a separation of the composite into fibre and matrix fractions. One key factor towards circularity in composite materials is converting significant amounts of composite material into multiple meaningful applications and products. Industry 4.0 can offer a systemic solution utilising robots and digital tools, such as a digital twin of a composite wind turbine blade. The digital handling of relevant material information can offer a new affordable material source to multiple industries, such as building industry or manufacturing businesses. Based on a digital platform the composite material can be made available for architects, designers and developers to repurpose composites into multiple new products.","url":"https://doi.org/10.1088/1757-899x/942/1/012016","authors":["Raphael Geiger","Yasser Ahmad Hannan","William Travia","Roberto Naboni","Christian Schlette"],"tags":["Repurposing","Blade (archaeology)","Composite number","Turbine blade","Turbine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-01","doi":"https://doi.org/10.1088/1757-899x/942/1/012016","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415545132","name":"Res publica digitalis: The uneven digital transformation of the European public sector and the impact of policy disparities on governance, service efficiency, and socioeconomic inclusion","source":"openalex","abstract":"Research background: Digital transformation has become a central pillar of public sector modernisation in the European Union (EU), with initiatives focusing on digital infrastructure, e-government services, human capital development, and research and innovation. The EU’s long-term strategy for digital advancement is aimed at narrowing performance gaps and fostering inclusive progress among member states. However, regional disparities, stagnation in certain countries, and inconsistent investments in research and public services reveal the complex nature of digital convergence. The COVID-19 crisis further exposed structural weaknesses while simultaneously accelerating digital transitions across the EU. Purpose of the article: This article aims to assess the development and inequality of public sector digitalisation across EU–27 countries. It focuses on identifying trends, regional shifts, and performance dynamics based on multidimensional evaluation. The study seeks to determine whether digital convergence is taking place, which countries are leading or lagging, and what policy implications emerge from the observed trajectories. Methods: The research employs a multi-method approach combining the Analytic Hierarchy Process (AHP), the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and the Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE) method, Lorenz curve, Gini coefficient analysis, k-means clustering with PCA transformation, sensitivity analysis, and scenario modelling. A total of 24 criteria reflecting the digital maturity of the public sector, such as broadband access, digital skills, e-government services, and research and development (R&D) activity, were used. This comprehensive framework enables robust comparisons of performance levels, structural inequalities, and resilience to weight variations in composite indicators. Findings & value added: The analysis reveals a measurable decline in digital inequality within the EU, as shown by a steady reduction in the Gini coefficient over time. Countries like Austria, Cyprus, and Croatia demonstrated significant upward mobility, driven by strategic investment and consistent policy support. Conversely, countries such as Romania and Belgium experienced relative decline due to stagnation in innovation and public service quality. Sensitivity testing confirmed the robustness of the applied model, while scenario analysis highlighted the transformative potential of targeted interventions. The value added of this research lies in its integrated analytical framework, which not only maps digital progress but also identifies structural challenges and policy leverage points essential for achieving a more cohesive digital Europe.","url":"https://doi.org/10.24136/oc.3866","authors":["Katarína Valášková","Marek Nagy","Marcel Figura","Pavel Rousek"],"tags":["Public sector","Digital transformation","European union","Economics","Modernization theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-30","doi":"https://doi.org/10.24136/oc.3866","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7165522390","name":"UDT Governance Trust Reproducibility Package","source":"openalex","abstract":"This compressed file contains reproducible material from the paper \"Urban Digital Twin Governance Readiness and Institutional Trust.\" This includes input data for constructing the final sample, generated derived data, analysis and plotting scripts, model results, charts, and explanations of data sources and usage conditions. The study sample contains panel data from the 27 EU member states from 2022 to 2025, totaling 108 observations. The core outcome variable is institutional trust, and the core explanatory variable is the Urban Digital Twin Governance Readiness Index. This index represents the state of national digital governance supporting public services oriented towards urban digital twins; it does not represent the number of deployed urban digital twins, nor does it represent residents' direct trust in a particular digital twin system.","url":"https://doi.org/10.5281/zenodo.20802813","authors":["Wei‐Zhen Zhou"],"tags":["Corporate governance","Sample (material)","Computer science","Variable (mathematics)","Core (optical fiber)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.5281/zenodo.20802813","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411155400","name":"Modern Digital and Technological Educational Methods","source":"openalex","abstract":"The development and evolution of digital technologies can contribute to the transformation of the educational sector, allowing the integration of innovative teaching approaches. Typical examples of such approaches include artificial intelligence, augmented and virtual reality (AR/VR), adaptive learning, and online educational environments. This study explores modern digital educational methods, focusing on the advantages, challenges, and future prospects of modern technologies in education. The systematic literature review was based exclusively on the Scopus database. We explored 948 articles published from 1968 to 2025. Furthermore, using the VOSviewer program (version 1.6.20), the results were analyzed, identifying and highlighting various trends and key thematic areas. However, although digital educational methods are able to provide greater interactivity, personalization, and flexibility in learning, they also face significant challenges, some of which are the digital divide, privacy protection, and teacher training. In the future, research should shape best practices that will integrate digital technologies into education.","url":"https://doi.org/10.3390/higheredu4020025","authors":["Angelos I. Stoumpos","Rodanthi I. Stoumpou"],"tags":["Computer science","Mathematics education","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-07","doi":"https://doi.org/10.3390/higheredu4020025","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409564591","name":"A Smart Metrology Laboratory Environmental Monitoring and Recognition Method Based on Digital Twin and Improved Transformer","source":"openalex","abstract":"ABSTRACT Aiming at the problems of poor reliability and low visualization in the monitoring of power metrology laboratories, a smart power metrology laboratory environmental monitoring and recognition method based on digital twins and improved Transformer is proposed. Firstly, a smart power metrology laboratory architecture is designed based on digital twin technology, achieving comprehensive perception of the laboratory through the interaction between physical entities and virtual platforms. Then, the large kernel block module is added to the Swin Transformer model to enhance the representation ability between cross—modal feature information, and the improved Swin Transformer model is deployed in the intelligent layer of the laboratory architecture. Finally, the improved model is used to analyse the laboratory monitoring information, and multi‐source information is fused for decision‐making to obtain reliable identification results of personnel behaviour and metrology device status. Experimental analysis of this method based on a virtual smart power metrology laboratory scenario shows that this method can effectively identify various behaviours of personnel. The recognition accuracy of sleeping behaviour reaches 96.74%, and the average recognition accuracy of metrology device status is 91.74%. Meanwhile, the study also points out the limitations of the current system in detecting some failure modes, providing more comprehensive theoretical and technical references for the construction of smart power metrology laboratories.","url":"https://doi.org/10.1049/tje2.70069","authors":["Zuo Wang","Cuiying Kai","Qi Li","Huiying Liu"],"tags":["Metrology","Transformer","Computer science","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/tje2.70069","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7123341649","name":"A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings","source":"openalex","abstract":"The EN-HERITAGE project aims to define and prototype an integrated digital platform for the management of virtual models of buildings belonging to the historic built heritage, with a particular focus on slate roofing systems. The platform integrates IoT technologies for environmental monitoring, architectural surveys carried out using laser scanning and photogrammetry, HBIM models, and artificial intelligence algorithms for the analysis of degradation phenomena. The pilot application was conducted on the Albergo dei Poveri complex in Genoa, providing a replicable methodology for the planned conservation of the historic built environment. Preliminary results highlight the effectiveness of the platform in integrating heterogeneous data, providing stakeholders involved in the management of extensive architectural heritage with concrete support for decision-making processes and greater efficiency in planning maintenance and restoration interventions on historic buildings.","url":"https://doi.org/10.3390/iic2010002","authors":["Margherita Valentini","Paolo Brotto","Paolo Campana","Miguel Capponi","Matteo Colli","Andrea Rapuzzi","Paolo Rosso","Sara Zani","Rita Vecchiattini"],"tags":["Engineering","Architectural engineering","Building information modeling","Internet of Things","Roof"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3390/iic2010002","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7128924543","name":"Digital Twin-Driven Operational Management Framework for Real-Time Decision-Making in Smart Factories","source":"openalex","abstract":"To improve operational efficiency, adaptability, and sustainability in an intelligent factory within the Industry 4.0 era, decision-making must happen in real-time. This paper presents a framework that relies on Digital Twin-Driven Operational Management to IoT, AI-driven analytics, and edge computing for cost, time, data-driven and real-time decision-making in manufacturing environments. The framework utilizes real-time sensor data, predictive modeling, and optimization algorithms for enhanced allocation of resources, production scheduling and effective fault recognition. A case study conducted in a smart manufacturing facility validates the framework, resulting in remarkable improvements in operational efficiency, system adaptability, and cost reduction compared to traditional models. The results of the experiment are increased accuracy in decision-making, decreased downtime, and optimized energy consumption, establishing the framework as a feasible solution for next generation smart factories. This study helps provide a better balance between ever-growing theoretical advancements and industrial application of the theory, leading to more resilient, autonomous and data-driven manufacturing ecosystems.","url":"https://doi.org/10.66096/jigbp.v1.3","authors":["Logan Clark","Benjamin Garcia","Sophia Harris"],"tags":["Industry 4.0","Scheduling (production processes)","Factory (object-oriented programming)","Operational efficiency","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.66096/jigbp.v1.3","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4229017651","name":"South Asia’s Digital Opportunity","source":"openalex","abstract":"The national level work was supported by World Bank Group","url":"https://doi.org/10.1596/37230","authors":["World Bank"],"tags":["Computer science","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-27","doi":"https://doi.org/10.1596/37230","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415673229","name":"Precision mapping of equilibrium disclination strain in pentagonally twinned nanostructures","source":"openalex","abstract":"Pentatwinned nanostructures are key to understanding the mechanical, chemical, and structural behavior of nanomaterials owing to their unique fivefold symmetry and lattice strain from a 7.35° disclination gap between {111} twin boundaries. However, the precise equilibrium strain distributions have remained unclear because of heterogeneity among individual particles, requiring statistical analysis across large sample populations. Here, we use nanobeam four-dimensional scanning transmission electron microscopy (4D-STEM) to extract averaged strain profiles from uniformly sized, shape-identical particles, achieving high-resolution, statistically robust insights beyond single-particle noise. The strain profiles reveal how tensile, shear, and rotational components collectively compensate for the angular deficit, with particle shape-dependent local variations highlighting the importance of morphological control in synthesis. By integrating in situ heating with 4D-STEM, we captured a previously unobserved strain relaxation pathway involving the formation of periodic partial dislocations that stabilizes the strain-relieved equilibrium state. This study establishes a quantitative framework for equilibrium strain in fivefold-twinned nanostructures and offers strain engineering strategies for tailored properties.","url":"https://doi.org/10.1126/sciadv.aea9781","authors":["Zhihua Cheng","Chuqiao Shi","Kaijie Zhao","Michael Engel","Matthew R. Jones","Yimo Han"],"tags":["Disclination","Materials science","Strain (injury)","Nanostructure","Nanomaterials"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-29","doi":"https://doi.org/10.1126/sciadv.aea9781","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7118123856","name":"The Automatic Packing Box Positioning of Production Line in Digital Twin Logistics System Based on YOLOv8","source":"openalex","abstract":"ABSTRACT As Industry 4.0 advances, the application of digital technologies is increasingly being popularised in the logistics and warehousing sector. For digital twins, the accurate and efficient collection of real‐time data from the physical world significantly impacts the accuracy of modelling. With the enhancement of computer processing power, the application of computer vision as an information acquisition module is becoming increasingly widespread. This paper proposes a novel method in which YOLOv8 object detection is applied to locate and track packing boxes on the production line. At the same time, the digital twin model is updated in real time to synchronise the positions of the boxes. In the system, high‐definition industrial cameras are used to capture the production line, and the YOLOv8 keypoint estimation model is utilised to calculate the pose of each packing box in every frame. The results are then mapped to the coordinate system of the digital twin model through perspective transformation and coordinate conversion algorithms. Data exchange between the vision algorithm and the digital twin model is performed in real time via a Redis database. The feasibility of the system was verified in the diverging and converging areas of a small experimental production line. Compared with the traditional approach of using photoelectric sensors to detect the positions of packing boxes, the proposed system overcomes two major limitations: the inability to distinguish between different types of boxes and the failure to continuously track and locate them. The results demonstrate that the proposed method outperforms conventional techniques. It shows notable superiority in accurately simulating the motion posture and trajectory of packing boxes within a digital twin system. Such capabilities hold great significance for enhancing the monitoring and management of production logistics.","url":"https://doi.org/10.1049/dgt2.70022","authors":["Jiashun Li","Rongrong Song","Haitao Liu","Erxun Zhao"],"tags":["Computer science","Production line","Object (grammar)","Orientation (vector space)","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/dgt2.70022","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W4414317351","name":"Evaluating and Enhancing Georeferencing Accuracy in BIM and 3D GIS Models for Built Environment Digital Twins","source":"openalex","abstract":"Abstract. The integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) through open standard models such as IFC and CityGML is fundamental to the development of a comprehensive digital twins for the built environment projects. Accurate georeferencing of these models is essential for performing reliable geospatial analyses, particularly in projects that employ a custom Coordinate Reference System (CRS) or are affected by significant distortion due to map projection. Although a considerable number of studies addressed georeferencing in the context of BIM-GIS data integration, limited attention has been given to the assignment of custom CRSs to both IFC and CityGML models. Moreover, the impact of BIM modelling and different georeferencing approaches on the final positional accuracy of the models remains under-investigated. This study addresses these gaps by proposing a methodology to enhance georeferencing accuracy through the assignment of custom CRS to both IFC and CityGML models, while also practically examining how BIM modelling practices and georeferencing approaches impact the overall positional quality of the models. The results demonstrate the effectiveness of the proposed methodology in enhancing georeferencing accuracy of IFC and CityGML models, offering a practical guideline for ensuring the spatial accuracy of the 3D models in the digital twin environment.","url":"https://doi.org/10.5194/isprs-annals-x-4-w6-2025-161-2025","authors":["Peshawa Mohammed","Avril Behan","Dympna O'Sullivan","Barry McAuley"],"tags":["CityGML","Georeference","3D city models","Computer science","Digital mapping"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-18","doi":"https://doi.org/10.5194/isprs-annals-x-4-w6-2025-161-2025","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7154958262","name":"A Lightweight Web3D Digital Twin Framework for Real-Time ESG Monitoring Using IoT Sensors","source":"openalex","abstract":"Existing Environmental, Social, and Governance (ESG) monitoring approaches rely primarily on static reports and dashboard-based interfaces, limiting real-time analysis and interactive exploration of sustainability data in complex built environments. In addition, current digital twin systems often lack integration with IoT-based sensing or depend on cloud-based rendering infrastructures, increasing deployment complexity and restricting accessibility. This study proposes a lightweight Web3D-based digital twin framework for real-time ESG monitoring in smart buildings. The system integrates an independently developed IoT sensor network with a browser-native 3D visualization platform, enabling real-time monitoring of ESG indicators—including electricity consumption—without requiring proprietary software or dedicated rendering hardware. ESG indicators are derived using a rule-based classification aligned with the WELL Building Standard v1. The framework was validated through a 12-month real-world deployment involving 60 IoT sensors. Results demonstrate stable performance, achieving 66 FPS rendering, 78 ms system latency, and 98% sensor data consistency based on cross-sensor agreement. The system also enabled timely detection of environmental anomalies, leading to measurable improvements in air quality and lighting conditions. Unlike prior digital twin systems, the proposed framework delivers a fully browser-native, lightweight architecture that integrates real-time IoT sensing, adaptive Web3D visualization, and structured ESG monitoring within a single deployable system. This approach provides a practical solution with potential for broader deployment in real-time sustainability monitoring for smart buildings.","url":"https://doi.org/10.3390/electronics15081736","authors":["Thepparit Sinthamrongruk","Keshav Dahal","Napat Harnpornchai"],"tags":["Software deployment","Rendering (computer graphics)","Computer science","Sustainability","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-20","doi":"https://doi.org/10.3390/electronics15081736","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4206269651","name":"Digital Customized Automation Technology Trends","source":"openalex","abstract":"ICT (IITP) . (http://www.itfind.or.kr) , IITP","url":"https://doi.org/10.5805/sfti.2021.23.6.790","authors":["Eunyoung Song"],"tags":["Automation","Engineering","Systems engineering","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-31","doi":"https://doi.org/10.5805/sfti.2021.23.6.790","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7119206616","name":"A Knowledge Graph-Guided and Multimodal Data Fusion-Driven Rapid Modeling Method for Digital Twin Scenes: A Case Study of Bridge Tower Construction","source":"openalex","abstract":"Establishing digital twin scenes facilitates the understanding of geospatial phenomena, representing a significant research focus for GIS scientists and engineers. However, current research on digital twin scenes modeling relies on manual intervention or the overlay of static models, resulting in low modeling efficiency and poor standardization. To address these challenges, this paper proposes a knowledge graph-guided and multimodal data fusion-driven rapid modeling method for digital twin scenes, using bridge tower construction as an illustrative example. We first constructed a knowledge graph linking the three domains of “event-object-data” in bridge tower construction. Guided by this graph, we designed a knowledge graph-guided multimodal data association and fusion algorithm. Then a rapid modeling method for bridge tower construction scenes based on dynamic data was established. Finally, a prototype system was developed, and a case study area was selected for analysis. Experimental results show that the knowledge graph we built clearly captures all elements and their relationships in bridge tower construction scenes. Our method enables precise fusion of 5 types of multimodal data: BIM, DEM, images, videos, and point clouds. It improves spatial registration accuracy by 21.83%, increases temporal fusion efficiency by 65.6%, and reduces feature fusion error rates by 70.9%. Local updates of the 3D geographic scene take less than 30 ms, supporting millisecond-level digital twin modeling. This provides a practical reference for building geographic digital twin scenes.","url":"https://doi.org/10.3390/ijgi15010027","authors":["Yongtao Zhang","YongWei Wang","Zhihao Guo","Jun Zhu","Fanxu Huang","Hao Zhu","Yuan Chen","Yajian Kang"],"tags":["Bridge (graph theory)","Computer science","Tower","Geospatial analysis","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-06","doi":"https://doi.org/10.3390/ijgi15010027","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416132607","name":"Smartphone-based Ultrawide Band Localization with Digital Twin Integration for Smart Directional Fan Operations","source":"openalex","abstract":"Achieving personalized thermal comfort while minimizing energy usage remains a significant challenge in modern cooling systems. To address this, we introduce a novel Digital Twin (DT)-enabled smart directional fan control system that dynamically adjusts airflow based on precise occupant localization. Uniquely, our approach utilizes Ultra-Wideband (UWB) chips embedded in modern smartphones, marking the first known practical implementation of smartphone-based UWB for real-time indoor positioning integrated directly with a personalized environmental control system. This study rigorously compares three fundamental localization algorithms: (1) Classical Trilateration, (2) Least Squares Multilateration, and (3) Weighted Least Squares Multilateration, in a real-world, furnished office environment. The results demonstrate that the Weighted Least Squares algorithm provides the highest localization accuracy, with mean positional errors between 8.5 and 8.8 cm. Compared to the other algorithms tested, as well as conventional smartphone-based localization methods (e.g., Bluetooth and WiFi fingerprinting) that typically achieve accuracy in the meter range, the improved localization accuracy significantly reduces angular deviations in fan targeting, achieving a mean absolute error of 2.9°. These reduced angular deviations minimize air velocity losses, with deviations between 6° and 10° resulting in approximately 0.4 m/s loss, and deviations beyond 10° causing an additional 0.4 m/s drop. To compensate, the fan must increase its speed by one to two levels, translating to an additional energy demand of roughly 7 to 13 watts per fan. These findings underscore the effectiveness and energy-saving potential of integrating smartphone-based UWB localization with DT-enabled fan control systems, offering a scalable and minimally intrusive solution for enhancing occupant comfort and energy efficiency in smart buildings.","url":"https://doi.org/10.1145/3736425.3770096","authors":["Iqbal Shah","Ali Ghahramani"],"tags":["Scalability","Energy (signal processing)","Computer science","Bluetooth Low Energy","Bluetooth"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-11","doi":"https://doi.org/10.1145/3736425.3770096","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2969750664","name":"Sustainable manufacturing in Industry 4.0: an emerging research agenda","source":"openalex","abstract":"This systematic review intends to identify how sustainable manufacturing research is contributing to the development of the Industry 4.0 agenda and for a broader understanding about the links between the Industry 4.0 and Sustainable Manufacturing by mapping and summarising existing research efforts, identifying research agendas, as well as gaps and opportunities for research development. A conceptual framework formed by the principles and technological pillars of Industry 4.0, sustainable manufacturing scope, opportunities previously identified, and sustainability dimensions, guided analysis of 35 papers from 2008–2018, selected by a systematic approach. Bibliometrics data and social network analysis complement results identifying how research is being organised and its respective research agendas, relevant publications, and status of the research lifecycle. Results point to that the current research is aligned with the goals defined by different national industrial programs. There are, however, research gaps and opportunities for field development, becoming more mature and having a significant contribution to fully developing the agenda of Industry 4.0.","url":"https://doi.org/10.1080/00207543.2019.1652777","authors":["Carla Gonçalves Machado","Mats Winroth","Elias Ribeiro da Silva"],"tags":["Scope (computer science)","Sustainability","Sustainable development","Field (mathematics)","Bibliometrics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-20","doi":"https://doi.org/10.1080/00207543.2019.1652777","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7133696306","name":"Multi-Agent Systems and Digital Twins as a Basis for Smart Buildings with Integrated Sustainable Efficient Ventilation","source":"openalex","abstract":"Ventilation management is a key component of smart building performance, directly affecting indoor air quality, occupant comfort, and energy consumption during operation. The increasing complexity of building systems and variability in occupancy and environmental conditions challenge conventional static or centralised ventilation strategies. This study presents a conceptual and methodological framework for intelligent ventilation management based on the integration of distributed environmental sensorisation, multi-agent systems, and digital twins. The proposed approach focuses on structuring the architecture and decision-making mechanisms that enable adaptive and predictive ventilation strategies, including multi-source air intake selection (6D ventilation). Rather than providing experimental or simulation-based validation, the study defines a coherent framework intended to support future quantitative evaluation and implementation. The expected benefits of the approach, in terms of improved energy efficiency, indoor environmental quality, and life-cycle performance, are discussed in relation to existing research. The framework contributes to the development of smart buildings by providing a structured basis for advanced, adaptive, and sustainable ventilation management.","url":"https://doi.org/10.3390/buildings16051026","authors":["Carlos Rizo-Maestre","José María Flores-Moreno","Amor Nebot-Sanz","José Antonio Huesca-Tortosa"],"tags":["Building automation","Architectural engineering","Structuring","Component (thermodynamics)","Ventilation (architecture)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-05","doi":"https://doi.org/10.3390/buildings16051026","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2979362784","name":"How women are treated during facility-based childbirth in four countries: a cross-sectional study with labour observations and community-based surveys","source":"openalex","abstract":"BACKGROUND: Women across the world are mistreated during childbirth. We aimed to develop and implement evidence-informed, validated tools to measure mistreatment during childbirth, and report results from a cross-sectional study in four low-income and middle-income countries. METHODS: We prospectively recruited women aged at least 15 years in twelve health facilities (three per country) in Ghana, Guinea, Myanmar, and Nigeria between Sept 19, 2016, and Jan 18, 2018. Continuous observations of labour and childbirth were done from admission up to 2 h post partum. Surveys were administered by interviewers in the community to women up to 8 weeks post partum. Labour observations were not done in Myanmar. Data were collected on sociodemographics, obstetric history, and experiences of mistreatment. FINDINGS: 2016 labour observations and 2672 surveys were done. 838 (41·6%) of 2016 observed women and 945 (35·4%) of 2672 surveyed women experienced physical or verbal abuse, or stigma or discrimination. Physical and verbal abuse peaked 30 min before birth until 15 min after birth (observation). Many women did not consent for episiotomy (observation: 190 [75·1%] of 253; survey: 295 [56·1%] of 526) or caesarean section (observation: 35 [13·4%] of 261; survey: 52 [10·8%] of 483), despite receiving these procedures. 133 (5·0%) of 2672 women or their babies were detained in the facility because they were unable to pay the bill (survey). Younger age (15-19 years) and lack of education were the primary determinants of mistreatment (survey). For example, younger women with no education (odds ratio [OR] 3·6, 95% CI 1·6-8·0) and younger women with some education (OR 1·6, 1·1-2·3) were more likely to experience verbal abuse, compared with older women (≥30 years), adjusting for marital status and parity. INTERPRETATION: More than a third of women experienced mistreatment and were particularly vulnerable around the time of birth. Women who were younger and less educated were most at risk, suggesting inequalities in how women are treated during childbirth. Understanding drivers and structural dimensions of mistreatment, including gender and social inequalities, is essential to ensure that interventions adequately account for the broader context. FUNDING: United States Agency for International Development and the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, WHO.","url":"https://doi.org/10.1016/s0140-6736(19)31992-0","authors":["Meghan A. Bohren","Hedieh Mehrtash","Bukola Fawole","Thae Maung Maung","Mamadou Diouldé Baldé","Ernest Maya","Soe Soe Thwin","Adeniyi Kolade Aderoba","Joshua P. Vogel","Theresa Azonima Irinyenikan","A Olusoji Adeyanju","Nwe Oo Mon","Kwame Adu‐Bonsaffoh","Sihem Landoulsi","Chris Guure","Richard Adanu","Boubacar Alpha Diallo","A. Metin Gülmezog̈lu","Anne-Marie Soumah","Alpha Oumar Sall","Özge Tunçalp"],"tags":["Childbirth","Medicine","Cross-sectional study","Episiotomy","Caesarean section"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-08","doi":"https://doi.org/10.1016/s0140-6736(19)31992-0","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4413811233","name":"Benchmarking Control Strategies for Multi-Component Degradation (MCD) Detection in Digital Twin (DT) Applications","source":"openalex","abstract":"Digital Twins (DTs) have become central to intelligent asset management within Industry 4.0, enabling real-time monitoring, diagnostics, and predictive maintenance. However, implementing Prognostics and Health Management (PHM) strategies within DT frameworks remains a significant challenge, particularly in systems experiencing multi-component degradation (MCD). MCD occurs when several components degrade simultaneously or in interaction, complicating detection and isolation processes. Traditional data-driven fault detection models often require extensive historical degradation data, which is costly, time-consuming, or difficult to obtain in many real-world scenarios. This paper proposes a model-based, control-driven approach to MCD detection, which reduces the need for large training datasets by leveraging reference tracking performance in closed-loop control systems. We benchmark the accuracy of four control strategies—Proportional-Integral (PI), Linear Quadratic Regulator (LQR), Model Predictive Control (MPC), and a hybrid model—within a Digital Twin-enabled hydraulic system testbed comprising multiple components, including pumps, valves, nozzles, and filters. The control strategies are evaluated under various MCD scenarios for their ability to accurately detect and isolate degradation events. Simulation results indicate that the hybrid model consistently outperforms the individual control strategies, achieving an average accuracy of 95.76% under simultaneous pump and nozzle degradation scenarios. The LQR model also demonstrated strong predictive performance, especially in identifying degradation in components such as nozzles and pumps. Also, the sequence and interaction of faults were found to influence detection accuracy, highlighting how the complexities of fault sequences affect the performance of diagnostic strategies. This work contributes to PHM and DT research by introducing a scalable, data-efficient methodology for MCD detection that integrates seamlessly into existing DT architectures using containerized RESTful APIs. By shifting from data-dependent to model-informed diagnostics, the proposed approach enhances early fault detection capabilities and reduces deployment timelines for real-world DT-enabled PHM applications.","url":"https://doi.org/10.3390/computers14090356","authors":["Atuahene Kwasi Barimah","Akhtar Jahanzeb","Octavian Niculita","Andrew Cowell","Don McGlinchey"],"tags":["Benchmarking","Component (thermodynamics)","Degradation (telecommunications)","Control (management)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.3390/computers14090356","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412765872","name":"Mapping the nexus between open innovation and circular economy: a decade of bibliometric evidence","source":"openalex","abstract":"The urgency of environmental and resource-related challenges has elevated the importance of integrating Open Innovation and Circular Economy into sustainability-driven strategies. While these domains have independently matured, their intersection remains under examined, particularly from a quantitative, science-mapping perspective. This study employs bibliometric analysis on 98 articles published in academic journals between 2015 and 2025, which were screened according to specific criteria, using the Scopus and Web of Science databases. The performance analysis and science mapping were conducted using R and VOSviewer to understand the intellectual organization, changing themes, and influential researchers in the Open Innovation–Circular Economy field. The results contribute theoretically to how Open Innovation mechanisms can facilitate Circular Economy transitions by highlighting underutilized theoretical perspectives, such as stronger innovation capability, better engagement with all stakeholders, and greater organizational capability, and practically, it offers insights for organizations, policymakers, and other ecosystem actors seeking to implement circular strategies through open and collaborative innovation. Conversations are now shifting from theory to more practical and digitally driven approaches that apply to entire ecosystems. Technologies such as artificial intelligence, the Internet of Things, and digital twins are increasingly instrumental in supporting circular models and real-time decision-making. This study utilizes the Scopus and Web of Science databases, which may result in the exclusion of grey literature and studies from specific regions that are not indexed. In the future, research should include data from different sectors, develop designs such as Open Circular Platforms, and test concepts such as Circular Openness and Innovation Density.","url":"https://doi.org/10.3389/frsus.2025.1638284","authors":["Djoni Surya","Rano Kartono Rahim","Mohammad Hamsal","Sevenpri Candra","Willy Gunadi"],"tags":["Nexus (standard)","Economic geography","Open innovation","Regional science","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-30","doi":"https://doi.org/10.3389/frsus.2025.1638284","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412922294","name":"Integrating blockchain with digital product passports for managing reverse supply chain","source":"openalex","abstract":"• First comprehensive review of ML models for end-of-life product return predictions. • Integration of PRISMA systematic review with network and meta -analysis methods. • Key factors influencing ML prediction accuracy in reverse supply chains. • Six future research directions for AI-enhanced circular-economy logistics. The evolution of the circular economy has led to the adoption of circular supply chains, where efficient management of the reverse supply chain enhances resource utilization, minimizes waste, and fosters a circular supply chain. However, managing reverse supply chains presents numerous challenges including a lack of information transparency and traceability, inconsistent cooperation among stakeholders, and uncertainty in recycling process, such as variations in quantity, quality, and timing. To address these challenges, an information sharing framework that integrates blockchain technology with digital product passports (DPPs) is designed to manage reverse supply chain information. Subsequently, a system dynamics model is applied to evaluate the potential impacts and feasibility of this framework within the reverse supply chain and its implications for the forward supply chain. The results indicate that the application of the proposed framework enhance the legal recycling market, reduces the negative environmental impact of illegal recycling activities, mitigates the bullwhip effect within the forward supply chain, and improves market fulfillment rate. The proposed information sharing framework can be employed to enhance the information efficiency of the reverse supply chain, aid in the recovery of end-of-life products and critical resources utilization, thereby supporting the transition to a circular economy.","url":"https://doi.org/10.1016/j.tre.2025.104336","authors":["Hanbing Xia","Jiahong Li","Qian Li","Jelena Milisavljevic-Syed","Konstantinos Salonitis"],"tags":["Blockchain","Supply chain","Product (mathematics)","Supply chain management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-25","doi":"https://doi.org/10.1016/j.tre.2025.104336","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7155388149","name":"Formal Integration of ISO/IEC Digital Twin Standards: A Layered Compliance Model with Uncertainty Quantification","source":"openalex","abstract":"Digital Twin (DT) implementations in electrical and industrial systems are governed by fragmented ISO/IEC and IEC standards spanning terminology, architecture, interoperability, lifecycle management, and cybersecurity. This paper proposes a mathematical framework that integrates these standards into a unified compliance model. A layered DT architecture is defined as a finite set of functional abstractions, and standards are linked to layers through a multivalued mapping and an incidence matrix. Traceability, interoperability, fidelity, and security/governance indicators are normalized and aggregated through a bounded weighted functional to obtain a deterministic compliance score. The model is then extended by treating selected indicators as random variables, which enables probabilistic maturity classification and Monte Carlo-based robustness analysis. The resulting functional is bounded, monotone, and stable under bounded perturbations. Numerical experiments on a synthetic portfolio illustrate deterministic scoring and uncertainty effects. The framework provides a proof-of-concept basis for structured DT compliance assessment across heterogeneous electrical systems; however, broader empirical validation is still required before operational deployment.","url":"https://doi.org/10.3390/math14091425","authors":["George Bălan","Elena Serea","Alexandru Sălceanu","Dorin-Dumitru Lucache"],"tags":["Bounded function","Robustness (evolution)","Probabilistic logic","Computer science","Uncertainty quantification"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.3390/math14091425","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7140081796","name":"Aerospace Engineering Undergraduate Laboratory Courses: A Systematic Review (1990–2025)","source":"openalex","abstract":"ABSTRACT This review examines the evolution of undergraduate aerospace engineering (AE) laboratories from 1990 to 2025, focusing on course formats, pedagogy, technology, and assessment. Once centered on traditional demonstration‐based exercises, AE laboratories have increasingly shifted toward hands‐on, project‐based, and hybrid physical‐virtual models that better connect theory with practice. The COVID‐19 pandemic accelerated the adoption of remote and online laboratories, which expanded access but also raised questions of authenticity and engagement. Alongside these pedagogical changes, technological advances have reshaped laboratory instruction: wind tunnels, strain gauges, and flight simulators remain central, but computational fluid dynamics (CFD), additive manufacturing (AM), and modern techniques such as particle image velocimetry (PIV), pressure sensitive paint (PSP), and digital image correlation (DIC) are playing growing roles. Emerging approaches include digital twin frameworks that couple real‐time data with simulation, virtual and augmented reality platforms that enhance immersion, and applications of artificial intelligence for automated analysis and adaptive control tasks. Sustainability has also become a driver of laboratory design, with new experiments emphasizing electrical propulsion and aeroacoustics. Despite these advances, assessment practices remain dominated by lab reports with limited innovation. The review concludes that systematic evaluation and strategic integration of advanced technologies are essential to sustain the relevance and impact of AE laboratory education.","url":"https://doi.org/10.1002/cae.70179","authors":["Mingtai Chen"],"tags":["Aerospace","Engineering","Systems engineering","Drone","Relevance (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.1002/cae.70179","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412005859","name":"C6.1 - Toward a Digital Twin of Hydrogen Pressure Vessels Enabled by Distributed Fiber Optic Sensors","source":"openalex","abstract":"We present a digital replica of a hydrogen pressure vessel enabled by distributed fiber optic sensors (DFOS).This digital replica dynamically displays and updates the vessel's structural condition by calculating strain residuals defined as the difference between the measured DFOS strain and the expected strain based on pressure data.As an example, we show the ability of the DFOS to detect and localize damage caused by drilling six holes into the vessel's body.This digital replica represents a foundational step toward a fully integrated digital twin for predictive maintenance and remaining lifetime prognosis.","url":"https://doi.org/10.5162/smsi2025/c6.1","authors":["Christos Karapanagiotis","Marcus Schukar","Mathias Breithaupt","Konstantin Hicke"],"tags":["Optical fiber","Fiber","Fiber optic sensor","Materials science","Hydrogen"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.5162/smsi2025/c6.1","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4320516050","name":"Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect","source":"openalex","abstract":"Temporally dense single-person \"small data\" have become widely available thanks to mobile apps and wearable sensors. Many caregivers and self-trackers want to use these data to help a specific person change their behavior to achieve desired health outcomes. Ideally, this involves discerning possible causes from correlations using that person's own observational time series data. In this paper, we estimate within-individual average treatment effects of physical activity on sleep duration, and vice-versa. We introduce the model twin randomization (MoTR; \"motor\") method for analyzing an individual's intensive longitudinal data. Formally, MoTR is an application of the g-formula (i.e., standardization, back-door adjustment) under serial interference. It estimates stable recurring individual treatment effects, as is done in n-of-1 trials and single case experimental designs. We compare our approach to standard methods (with possible confounding) to show how to use causal inference to make better personalized recommendations for health behavior change, and analyze up to almost eight years of the authors' own Fitbit steps and sleep data.","url":"https://doi.org/10.48550/arxiv.2208.00739","authors":["Eric J. Daza","Matias, Igor","Schneider, Logan"],"tags":["Computer science","Causal inference","Wearable computer","Observational study","Confounding"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-01","doi":"https://doi.org/10.48550/arxiv.2208.00739","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7124164678","name":"Towards a digital cancer cell twin: External pharmacological validation of a mechanistic A549 electrophysiology model","source":"openalex","abstract":"Abstract Computational electrophysiology models are beginning to emerge as digital‐twin–oriented representations of cancer cells, offering mechanistic insights that complement traditional patch‐clamp experiments. In this study, we evaluate the ability of the earliest in‐silico cancer electrophysiology model, an ion channel model based on Hidden Markov state transitions, to reproduce drug‐modulated current densities in A549 lung adenocarcinoma cells. Using independent experimental data from Glaser et al. (2021), we characterised Ca 2 + ‐activated K + channels, KCa1.1 and KCa3.1, in wild‐type (WT) and erlotinib‐resistant (ER) A549 cells under baseline conditions, as well as after activation with 1‐EBIO (3‐ethyl‐1H‐benzimidazol‐2‐one) and inhibition with paxilline and senicapoc. The in‐silico model reproduced the qualitative order of current responses under all pharmacological conditions, quantitatively matching the paxilline‐ and senicapoc‐blocked states while remaining within biologically reasonable channel expression limits. Reproducing 1‐EBIO activation required higher‐than‐physiological effective channel numbers, indicating that ligand‐dependent gating is not fully represented. Nevertheless, the model captured the overall electrophysiological behaviour of both WT and ER cells and successfully distinguished their phenotypes. In summary, the in‐silico model already enables mechanistic interpretation of electrophysiological phenotypes and drug‐modulated responses. With continued refinement, including the incorporation of ligand‐modulated gating, improved calcium‐feedback dynamics, and formal uncertainty quantification, this model has the potential to evolve into a predictive digital twin platform supporting ion‐channel pharmacology, therapy optimisation and precision oncology.","url":"https://doi.org/10.1002/ctd2.70112","authors":["Celine Desoyer","Martin Ruf","Christian Baumgärtner"],"tags":["Electrophysiology","Neuroscience","Computer science","Markov model","Gating"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-14","doi":"https://doi.org/10.1002/ctd2.70112","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7131644935","name":"Part II: Industrial Information Integration Review 2020–2025","source":"openalex","abstract":"Industrial Information Integration Engineering (IIIE) has become increasingly essential for improving operational efficiency and harmonizing heterogeneous industrial systems through advanced digital integration approaches. Fueled by rapid advancements in Industry 4.0 technologies—including digital twins, artificial intelligence, immersive interfaces, and IoT infrastructures—IIIE is substantially transforming traditional enterprise architecture and integration frameworks. This systematic review synthesizes recent developments and emerging trends, with particular attention to the accelerating adoption of digital twins and the deepening convergence between operational technologies (OT) and information technologies (IT) across multiple sectors. While notable progress has been made, significant challenges persist, especially in developing resilient integration architectures and fully capitalizing on emerging capabilities such as quantum computing and next-generation communication networks. Future research directions emphasize the need to advance semantic interoperability, promote human-centric integration paradigms, and strengthen secure, decentralized information infrastructures. Collectively, these directions highlight IIIE’s pivotal role in enabling intelligent, interconnected, and sustainable industrial ecosystems.","url":"https://doi.org/10.53941/jetia.2026.100002","authors":["Jinzhi Li"],"tags":["Information integration","Computer science","Information technology","System integration","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-06","doi":"https://doi.org/10.53941/jetia.2026.100002","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4413403225","name":"Energy Transition 2024–2025: New Demand Vectors, Technology Oversupply, and Shrinking Net-Zero 2050 Premium","source":"openalex","abstract":"The global energy transition is accelerating, yet new and underestimated challenges have emerged since 2024. Rising electricity demand—driven by artificial intelligence data centres, extreme heatwaves, and the electrification of transport—has exceeded earlier projections and shifted the system’s pressure point from generation to flexibility. At the same time, an oversupply of solar PV panels and lithium-ion batteries is lowering costs but increasing the risk of trade conflicts and supply chain concentration. This article presents a meta-analysis of 12 energy scenarios from 2024 to 2025, based on institutional outlooks (IEA, BNEF, and WEF) and peer-reviewed publications selected using transparent quality criteria (TRL thresholds, JRC guidance, and data transparency). A difference-in-differences method is applied to identify changes between editions. Results show a demand increase of over 2200 TWh by 2035, a decline in the “Net-Zero premium” from 19% to 15%, and a pressing need to redirect investment from gas infrastructure to grids, storage, and hydrogen. A case study for Central and Eastern Europe reveals that Poland will require USD 5–6 billion annually, primarily for transmission networks. These findings support a capital shift toward resilient and socially acceptable decarbonisation pathways.","url":"https://doi.org/10.3390/en18164441","authors":["Henryk Wojtaszek"],"tags":["Zero (linguistics)","Net (polyhedron)","Zero emission","Economics","Energy demand"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.3390/en18164441","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411654933","name":"Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-97317-8","authors":["Antonios Papaleonidas","Elias Pimenidis","Harris Papadopoulos","Ioannis Chochliouros"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-97317-8","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4406741888","name":"Symbiopersonal intelligence towards symbiotic and personalized digital medicine","source":"openalex","abstract":"In this perspective, we introduce the concept of Symbiopersonal Intelligence (SymAI)-a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and intelligent devices in digital medicine. SymAI represents a new frontier in personalized intelligent systems, adaptively learning from and catering to individual needs and behaviors. We explore its emergence and potential implementation in both personal and public healthcare, encompassing telemedicine, precision medicine, surgical assistance, chronic disease management, and policy optimization. Key technological frameworks and hardware enablers are outlined, with a particular emphasis on multimodal data retrieval, transmission, and processing, as well as personalized interventions delivered via wearable and implantable devices. By integrating artificial intelligence into sensor technologies and addressing barriers in flexible electronics, SymAI holds the potential to revolutionize digital health, offering more responsive, tailored care and improved health outcomes.","url":"https://doi.org/10.1016/j.fmre.2025.01.009","authors":["Alfred Mensah","Qiwen Bao","Zhaonan Zhang","Chen Ya","Qing Jiang","Pingqiang Cai"],"tags":["Personalized medicine","Computer science","Data science","Psychology","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-23","doi":"https://doi.org/10.1016/j.fmre.2025.01.009","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416574368","name":"Reinforcement-Learning-Based Decision Support for Industrial Enterprise Employees’ Digital Twin Management System","source":"openalex","abstract":"The article explores the problem of the design of an employee’s digital twin for a human resource management system under Industry 4.0. An employee’s digital twin is linked to the concept of individual human capital, that is, the combination of professional, intellectual, and social resources that determine employee productivity. The digital twin model includes a model for an employee’s human capital assessment and a decision support model for the employee’s individual professional trajectory design. The decision support model is based on the concept of a Markov decision process (MDP), dynamic programming methods, and reinforcement learning (RL) algorithms. RL algorithms generate an optimal control mode and represent a set of management decisions for employee development appropriate to their health and intellectual, social, and career potential. Several reinforcement learning algorithms of different classes are tested: DQN, SARSA PRO, and DDQN. The developed algorithm—Dual Deep Q-Networks (DDQN)—demonstrates the highest performance compared to other learning algorithms. This algorithm is adapted to the relevant problem and used in a decision support model. The difference between the proposed model and others is the policy of individual human capital management, aimed at increasing human capital and growing employee productivity. The results of employee digital twin implementation have practical significance: it enables the rapid mitigation of human capital risks, improves employee productivity, and enhances enterprise efficiency.","url":"https://doi.org/10.3390/pr13123775","authors":["Е. В. Орлова"],"tags":["Markov decision process","Human capital","Computer science","Decision support system","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-22","doi":"https://doi.org/10.3390/pr13123775","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411473200","name":"Put out fires in Facility Management through the Digital Twin adoption: outcomes from Italy","source":"openalex","abstract":"The Architecture, Construction, Engeneering and Operation (AECO) industry is benefitting from the digitalisation spread. Several digital technologies, including Artificial Intelligence (AI) and Digital Twin (DT) are revolutioning the industry’s operations. Especially, the technological innovation of the Operation and Maintenance (O&M) phase of building life cycle has the potential to optimise the managing of buildings through more efficient, transparent, and sustainable practices. The academic literature, that focuses on the O&M digital innovation, identifies the DT as the main technology to support the digitalisation of facility management (FM) practices in buildings. These potentials, described in terms of improvements in operational time and costs, are not embraced by the market, which seems unready to introduce this innovation. Issues increase in those markets that are not identified as innovator leaders, such as Italy, which is considered a moderate innovator in the European panorame, presenting a very fragmented AECO industry of small-medium enterprises and a scarse innovation boost. With the objective to highlight the market’s willingness to embrace digital innovation, the present study discusses the degree to which digital technologies, and especially DT, are adopted in the Italian market. Thus, after identifing the potential benefits in the academic literature, and report the results of a previous studies on the Italian market perspective in digital innovation, this study discusses digital technologies’ adoption with FM operators. Assessing the real application of digital technologies and DT, the paper reasons about improvements in building performance and operational efficiency introduced by real-time monitoring and predicting building behaviour. The research shows that operators encounter difficulties with data handling and practical application of these technologies. This is also caused by a knowledge gap of the Italian market, which sees few companies that support the adoption of DT.","url":"https://doi.org/10.7771/3067-4883.1985","authors":["Martina Signorini","Alice Paola Pomè","Sonia Lupica Spagnolo"],"tags":["Business","Facility management","Environmental planning","Environmental resource management","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.1985","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7128774248","name":"Digital Enablers of the Circular Economy: A Bibliometric and Gender-Inclusive Review of Business and Management Research (2015–2025)","source":"openalex","abstract":"Digital transformation has become a cornerstone of circular economy (CE) strategies, yet the intersection between digital innovation and women’s entrepreneurship remains poorly understood. This study examines how digital enablers such as IoT, AI, blockchain, data analytics and platform technologies are represented in CE-related business and management research, while assessing the visibility of gender-inclusive and women-entrepreneurship perspectives. Using a bibliometric design, we retrieved and merged Scopus and Web of Science records (2015–2025), applied de-duplication and relevance screening, and conducted performance analysis and science mapping through bibliometrix (R) and VOSviewer to identify core themes, leading journals, influential authors, collaboration networks and thematic clusters. The findings show a sharp rise of digital-CE scholarship after 2018, dominated by technological perspectives on smart manufacturing, circular supply chains, digital product passports and blockchain-enabled traceability. Four stable clusters emerged: digital circular manufacturing, circular business model innovation, waste and resource management, and policy–social aspects. However, gender-related terms appear in only 1.35% of the corpus, revealing a substantial gap between academic research and EU policy priorities for inclusive digital and circular transitions. The study contributes by integrating a gender-inclusive lens into digital-CE scholarship and outlining a future research agenda that positions women entrepreneurs as critical—yet currently overlooked—actors in shaping digital circular ecosystems.","url":"https://doi.org/10.20944/preprints202602.1031.v1","authors":["Eleonora Tankova","Iva Moneva","Radosveta Krasteva-Hristova","Miglena Pencheva","Antonina Ivanova"],"tags":["Circular economy","Digital transformation","Knowledge management","Cornerstone","Scholarship"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.20944/preprints202602.1031.v1","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7125983271","name":"From Reactive to Resilient: A Hybrid Digital Twin and Deep Learning Framework for Mining Operational Reliability","source":"openalex","abstract":"In the mining industry, where equipment breakdowns cause expensive unplanned downtime, operational continuity is paramount. Internet of Things (IoT) technologies have the potential to make predictions; however, most solutions lack a holistic view and mapping of complex system interdependencies. This study presents a comprehensive predictive maintenance (PdM) framework specifically designed for continuous-operation mining environments, with a primary focus on Semi-Autogenous Grinding (SAG) mills. By combining exploratory data analysis, advanced feature engineering, classical machine learning (Gradient Boosting Classifier), and deep learning (LSTM with multiple time-window configurations), the system achieves real-time anomaly detection, root-cause explanation, and failure forecasting up to 48 h in advance (average lead time: 17 h). A four-layer digital twin architecture integrated with Streamlit enables actionable alerts classified as emergency, planned, or preventive interventions. Applied to a one-year dataset comprising 99,854 hourly records from an industrial SAG mill, the hybrid model prevented an estimated 219.5 h of unplanned downtime, yielding substantial economic benefits. The proposed solution is deliberately designed for high adaptability across multiple equipment types and industrial sectors beyond mining.","url":"https://doi.org/10.3390/mining6010007","authors":["Ahmet Kurt","Muhammet Mustafa Kahraman"],"tags":["Adaptability","Deep learning","Artificial intelligence","Computer science","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/mining6010007","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4386831926","name":"The Role of Digitalization on Manufacturing SME Firm Performance in India","source":"openalex","abstract":"This conceptual paper aims to look into how the performance of manufacturing SMEs in India has been influenced by digitalisation. Prior marketing circumstances are constantly changing in the digital age, and real problems must be solved to cover the skills gap built by digital advancements. Past research stated that theoretical and empirical contributions address the problems caused by the digitalization of marketing channels and the exponential growth in the total knowledge. In addition, the study aims to define how digitalization affects India's SMEs in manufacturing. Digitalization has a substantial impact on the performance of manufacturing SMEs. In order to avoid experiencing poor effect, the article underlines the crucial importance of digital capabilities for SMEs owners/managers to take into account while acting on behalf of their organization. Dynamic Capability theory serves as the conceptual foundation and an explanation of the interactions between the variables. Additionally, the theoretical and practical implications of this conceptual model are addressed.","url":"https://doi.org/10.6007/ijarbss/v13-i9/18060","authors":["Isha Kampoowale","Harcharanjit Singh","Ayu Andirah Binti Sakka","Ekene Iwuchukwu","Essra Abdulsattar Ahmed Al-Shaikhli"],"tags":["Conceptual model","Conceptual framework","Order (exchange)","Business","Empirical research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-10","doi":"https://doi.org/10.6007/ijarbss/v13-i9/18060","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415219167","name":"ELiOT: End‐to‐end LiDAR odometry with transformers harnessing real‐world, simulated, and digital twin","source":"openalex","abstract":"Abstract The development of smart cities depends on intelligent systems that integrate data from diverse environments. In this work, we present ELiOT , an end‐to‐end LiDAR odometry framework with transformer architecture designed to utilize real‐world data, simulations, and digital twins. ELiOT leverages high‐fidelity simulators and digital twin environments to enable sim‐to‐real applications, training on the real‐world KITTI odometry dataset while benefiting from simulated data for improved generalization. Our self‐attention‐based flow embedding network eliminates the need for traditional 3D‐2D projections by implicitly modeling motion from sequential LiDAR scans. The framework incorporates a 3D transformer encoder‐decoder to extract rich geometric and semantic features. By integrating digital twin environments and simulated data into the training process, ELiOT bridges the gap between simulation and real‐world applications, offering robust and scalable solutions for urban navigation challenges. This work underscores the potential of combining real‐world and virtual data to advance LiDAR odometry and highlights its role for the future smart cities.","url":"https://doi.org/10.4218/etrij.2025-0011","authors":["Daegyu Lee","Hyunwoo Nam","In‐Sung Jang","David Hyunchul Shim"],"tags":["Odometry","Lidar","Visual odometry","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-01","doi":"https://doi.org/10.4218/etrij.2025-0011","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411736072","name":"Editorial: Human-centric innovation in the built environment","source":"openalex","abstract":"Human-centric innovation in the built environmentThe shift from traditional system-centred approaches to human-centred designs in building environments is not just a change in methodology.It completely rethinks how we design, build and use our spaces.While traditional methods have focused mainly on efficiency, quality improvement and cost reduction, Industry 5.0 (I5.0) bring a new perspective.They highlight the importance of human well-being, social interactions and cultural contexts in technology development (Lu et al., 2022;Motiei et al., 2024;Resendiz-Villasenor et al., 2025;Yitmen et al., 2025).This transformation focuses on improving how people experience the built environment in several ways.Construction and design are social and technical systems.They involve how technology is used, how people behave and the cultural factors that come into play.These elements connect in complex ways.Instead of considering people as just technology users, this approach recognises them as active participants.Their views, choices, and interactions influence how built environment innovations succeed and last (Nair et al., 2025).The human element appears in many areas, from individual worker safety and comfort to community changes.It includes different cultural work habits and raises concerns about privacy in smart cities.Specifically, this involves understanding how people perceive and adopt new technologies, how their backgrounds and cultures shape collaboration, and how the design of the environment has a direct impact on human health and ecological sustainability (Najafi and Rahimian, 2024).Further, using advanced technologies in Construction 5.0, like IoT, AI and digital twins (DTs) (Najafi et al., 2025) requires careful attention to how people interact with them.These systems create a lot of data about how people act and how the environment functions.This raises another important question about privacy, user control and how to balance what technology can do with designs that focus on people.However, the main challenge is not only to create smart technologies but also to design systems that improve human experience and support well-being.This special collection presents 17 empirical studies that explore the human dimensions of built environment innovation across diverse contexts, from worker safety and technology adoption to cross-cultural collaboration and smart city privacy concerns.Each paper contributes essential insights into how behavioural, social, and cultural factors shape the success of sustainable and resilient construction practices, demonstrating that practical innovation requires understanding both technical capabilities and human experience.In their study, Nazari et al. (2025) uses the NSGA-II optimisation algorithm to compare window and shading designs for office buildings in Tehran and Auckland, two cities with similar latitudes but in different hemispheres.The research finds that slat number and wall distance are the most important shading variables in both cities, with Auckland providing better thermal comfort while Tehran receives more daylight and can achieve greater energy savings through proper shading and window-to-wall ratios.The study provides the first hemispheric comparison of these design parameters, offering practical guidance for architects and a methodology for researchers studying building performance optimisation across different climates.Abdul Ghafar and Ibrahim (2025) compare cross-cultural productivity between Malaysian and UK AEC professionals in industrialised building projects using cognitive organisational theory protocols tested in SimVision®.The research finds that BIM technology intervention improves exception handling, coordination and decision-making, while national culture Smart and Sustainable Built Environment 883","url":"https://doi.org/10.1108/sasbe-06-2025-567","authors":["Mina Najafi","Farzad Pour Rahimian","Abiola Akanmu"],"tags":["Business","Process management","Knowledge management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-27","doi":"https://doi.org/10.1108/sasbe-06-2025-567","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4390439596","name":"Customer Centric Support Services in the Digital Age","source":"openalex","abstract":"This book explores how customer service can become the singular competitive differentiator for organizations in the digital era.","url":"https://doi.org/10.1007/978-3-031-37097-7","authors":["Jagdish N. Sheth","Varsha Jain","Emmanuel Mogaji","Anupama Ambika"],"tags":["Differentiator","Business","Customer service","Service (business)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-30","doi":"https://doi.org/10.1007/978-3-031-37097-7","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416893686","name":"Cryogenic nano-twinning engineering to mitigate the strength–hydrogen embrittlement trade-off in a high-entropy alloy","source":"openalex","abstract":"High-strength alloys are vulnerable to hydrogen embrittlement (HE), showing a trade-off between mechanical strength and HE resistance. In this work, a cryogenic nano-twinning strategy was proposed to overcome this trade-off relationship in a CoCrFeMnNi high-entropy alloy. The approach combines pre-straining at 77 K, which induces stable nanotwins, with recovery annealing at 773 K to decrease dislocation density. The nanotwin-engineered alloy exhibits ∼2.2-fold higher yield strength than fully recrystallized samples while retaining HE resistance. This cryo-twin engineering as a viable pathway to break the strength–HE resistance in HEAs, offering a design route for advanced structural materials in hydrogen environments.Impact statement This cryogenic nano-twinning engineering, which combines pre-straining at 77 K and heat treatment, can achieve superior synergy of mechanical strength and hydrogen embrittlement resistance.","url":"https://doi.org/10.1080/21663831.2025.2596162","authors":["Rae Eon Kim","Jumi Choi","Ho Hyeong Lee","Bon‐Wook Koo","Shi Woo Lee","Sujung Son","Hyojeong Ha","Do Won Lee","Dong‐Woo Suh","Hyoung Seop Kim"],"tags":["Materials science","Hydrogen embrittlement","Embrittlement","Alloy","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1080/21663831.2025.2596162","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4417485977","name":"Developing provider digital twins for personalized provider-patient communication via a RAG-based conversational framework","source":"openalex","abstract":"Digital twins have emerged as a paradigm in precision and personalized medicine, enabling data-driven modeling of individuals to support tailored interventions. While most existing work focuses on patient-oriented twins, little attention has been given to modeling the provider's role, particularly in clinical communication. In this study, we present GRACE (Generalized RAG-Enhanced Conversation Framework), a framework for constructing a provider digital twin (ProDT) that emulates key aspects of clinicians' communicative and cognitive behavior. GRACE integrates three modules: a physician-informed dialog script generation and optimization module for provider-patterned conversation, a Retrieval-Augmented Generation (RAG) pipeline for factual grounding and timely knowledge updating, and an LLM-based conversational interface that enables interactive, context-aware exchanges. Using HPV vaccination counseling as a representative use case, GRACE was evaluated with HealthBench and a structured user study involving clinician feedback. The results demonstrate its feasibility, trustworthiness, and adaptability for proactive provider-patient communication, marking a conceptual step toward safe, scalable, and cognitively grounded digital twins in healthcare.","url":"https://doi.org/10.1016/j.csbj.2025.12.007","authors":["Pengze Li","Yutong Hu","Jianfu Li","Garit Gemeinhardt","Fang Li","Muhammad Amith","Licong Cui","Antonio J. Forte","Cui Tao"],"tags":["Computer science","Dialog box","Conversation","Human–computer interaction","Interface (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-19","doi":"https://doi.org/10.1016/j.csbj.2025.12.007","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415781909","name":"Generative AI in clinical (2020–2025): a mini-review of applications, emerging trends, and clinical challenges","source":"openalex","abstract":"Generative artificial intelligence (G-AI) has moved from proof-of-concept demonstrations to practical tools that augment radiology, dermatology, genetics, drug discovery, and electronic-health-record analysis. This mini-review synthesizes fifteen studies published between 2020 and 2025 that collectively illustrate three dominant trends: data augmentation for imbalanced or privacy-restricted datasets, automation of expert-intensive tasks such as radiology reporting, and generation of new biomedical knowledge ranging from molecular scaffolds to fairness insights. Image-centric work still dominates, with GANs, diffusion models, and Vision-Language Models expanding limited datasets and accelerating diagnosis. Yet narrative (EHR) and molecular design domains are rapidly catching up. Despite demonstrated accuracy gains, recurring challenges persist: synthetic samples may overlook rare pathologies, large multimodal systems can hallucinate clinical facts, and demographic biases can be amplified. Robust validation, interpretability techniques, and governance frameworks therefore, remain essential before G-AI can be safely embedded in routine care.","url":"https://doi.org/10.3389/fdgth.2025.1653369","authors":["Nafiz Fahad","Riadul Islam Rabbi","Sumayea Benta Hasan","Fariya Sultana Prity","Rasel Ahmed","Farhana Ahmed","Md. Jakir Hossen","Tze Hui Liew","Md Shohel Sayeed","Michael Kah Ong Goh"],"tags":["Interpretability","Workflow","Artificial intelligence","Computer science","Generative grammar"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-03","doi":"https://doi.org/10.3389/fdgth.2025.1653369","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4413868583","name":"An explainable digital twin framework for skin cancer analysis using early activation meta-learner","source":"openalex","abstract":"Skin cancer is among the most common cancers globally, which calls for timely and precise diagnosis for successful therapy. Conventional methods of diagnosis, including dermoscopy and histopathology, are significantly dependent on expert judgment and therefore are time-consuming and susceptible to inconsistencies. Deep learning algorithms have shown potential in skin cancer classification but tend to consume a substantial amount of computational resources and large training sets. To overcome these issues, we introduce a new hybrid computer-aided diagnosis (CAD) system that integrates Stem Block for feature extraction and machine learning for classification. The International Skin Imaging Collaboration (ISIC) skin cancer dermoscopic images were collected from Kaggle, and essential features were collected from the Stem Block of a deep learning (DL) algorithm. The selected features, which were standardized using StandardScaler to achieve zero mean and unit variance, were then classified using a meta-learning classifier to enhance precision and efficiency. In addition, a digital twin framework was introduced to simulate and analyze the diagnostic process virtually, enabling real-time feedback and performance monitoring. This virtual replication aids in continuous improvement and supports the deployment of the CAD system in clinical environments. To improve transparency and clinical reliability, explainable artificial intelligence (XAI) methods were incorporated to visualize and interpret model predictions. Compared to state-of-the-art approaches, our system reduced training complexities without compromising high classification precision. Our proposed model attained an accuracy level of 96.25%, demonstrating its consistency and computationally efficient status as a screening tool for detecting skin cancer.","url":"https://doi.org/10.3389/fcomp.2025.1646311","authors":["Pradeepa Sampath","S. Gopika","S. Vimal","Yoonje Kang","Sanghyun Seo"],"tags":["Meta-analysis","Computer science","Medicine","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-01","doi":"https://doi.org/10.3389/fcomp.2025.1646311","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7146978458","name":"Simulation-powered cybersecurity: real-time risk assessment via non-intrusive security twin","source":"openalex","abstract":"Abstract Digital twin technology is emerging as the cornerstone of proactive maintenance and monitoring of ICT/OT infrastructures. This paper discusses a security twin, an evolution of a digital twin that is a graph-based model, which acts as a dynamic inventory enriched with vulnerability intelligence and that can mirror complex ICT infrastructures to predict intrusions by threat agents without disrupting live production environments. This requires a high-fidelity synchronization between the infrastructure and the security twin, which remains a challenge mainly when active scanning cannot be employed. As an answer to the challenge, this paper introduces NotLine, a non-intrusive and fully automated platform that builds and updates a security twin through the continuous passive ingestion of multi-protocol network telemetry. NotLine leverages a distributed monitoring pipeline architecture to filter, normalize, and correlate heterogeneous traffic metadata in real time. NotLine maps these data to the security twin. The core innovation of NotLine lies in its integration of this live model with an AI-driven Monte Carlo simulation engine. The engine uses the security twin to generate the state transitions of a threat actor in an intrusion, as determined by the access rights and information they have acquired. This enables the quantification of risk exposure probabilistically and enables prescriptive analytics and preemptive remediation. We present an evaluation of NotLine in a production environment and show that a hypoexponential mathematical model characterizes the platform discovery pattern. According to this model, the platform maps most assets within 48 h; this confirms that NotLine provides a robust foundation for simulation-powered cybersecurity, bridging the gap between passive observation and proactive risk prediction, even if a long-tail monitoring period is critical to capture all infrastructure components.","url":"https://doi.org/10.1007/s11227-026-08454-0","authors":["F. Baiardi","Vincenzo Sammartino"],"tags":["Computer science","Metadata","Computer security","Vulnerability (computing)","Bridging (networking)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"https://doi.org/10.1007/s11227-026-08454-0","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7117661520","name":"A RIBA Plan of Work-Integrated Digital Participation Framework for Urban Regeneration in Low-Income Housing: The Case of Türkiye","source":"openalex","abstract":"Urban regeneration studies in low-income housing areas in Türkiye have problems with limited participation, a lack of transparency, and social exclusion. The study aims to work on these issues by integrating the RIBA Plan of Work (PoW) framework with digital participation tools. The proposed model has each stage of the PoW with Geographic Information Systems (GIS), digital twins, VR/AR-based visualization, blockchain-based systems, and online feedback platforms. So, it establishes a governance backbone that accelerates information flow and justifies decisions across the chain of “digital tool - participation type - social/technical output.” The model was developed based on a systematic search conducted between 2015 and 2025 in the Scopus, Web of Science, DergiPark, and Google Scholar databases. The search used Boolean search strings combining the concepts of RIBA Plan of Work, digital participation, PPGIS, BIM, VR/AR, digital twin, and blockchain. Preliminary screening and full-text evaluation were performed in accordance with the PRISMA flow, and a total of 42 studies were examined to derive stage-tool-participation-output matches. These matches were brought together using the thematic synthesis method to form the structure of the model. Findings show that the model enhances the visibility of needs and priorities in early stages, strengthens coordination in planning, supports performance-based decision making in technical design, and supports satisfaction and feedback cycles during the occupancy phase. However, the digital gap, data security, and regulatory compliance are limitations to its implementation. Overall, the model links architectural process management with social negotiation and learning processes, offering a more inclusive, transparent, and sustainable regeneration approach in low-income housing areas. This study presents a new methodological framework that systematically links architectural process management (RIBA PoW) with digital participation mechanisms in a phase-based manner, proposing concrete tool-participation-output mappings for each phase; empirical validation is beyond the scope of this study and is planned for future work.","url":"https://doi.org/10.58317/eksen.1828506","authors":["İrem Taş","Ilkim Markoc"],"tags":["Plan (archaeology)","Negotiation","Process management","Process (computing)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.58317/eksen.1828506","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411832820","name":"Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming","source":"openalex","abstract":"The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. These technological advancements constitute critical enablers for the development of customized, data-driven farming systems, offering potential solutions to the challenges of agricultural intensification while addressing societal concerns associated with the emerging paradigm of “farming by numbers”. The Precision Livestock Farming (PLF) systems enable the continuous, real-time, and individual sensing of livestock in order to detect subtle change in animals’ status and permit timely corrective actions. In addition, smart technology implementation within the housing environment leads the whole farming sector towards enhanced business rentability and food security as well as increased animal health and welfare conditions. Looking to the future, the collection, processing, and analysis of data with advanced statistic methods provide valuable information useful to design predictive models and foster the insight on animal welfare, environmental sustainability, farming productivity, and profitability. This review highlights the significant potential of implementing advanced sensing systems in livestock farming, examining the scientific foundations of PLF and analyzing the main technological applications driving the transition from traditional practices to more modern and efficient farming models.","url":"https://doi.org/10.3390/agriculture15131383","authors":["Caterina Losacco","Gianluca Pugliese","Lucrezia Forte","Vincenzo Tufarelli","Aristide Maggiolino","Pasquale De Palo"],"tags":["Livestock","Agriculture","Sustainable agriculture","Business","Precision agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-27","doi":"https://doi.org/10.3390/agriculture15131383","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4387813290","name":"Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility","source":"openalex","abstract":"Supply chain agility has become a key success factor for businesses trying to handle upheavals and uncertainty in today’s quickly changing business environment. Proactive risk reduction is essential for achieving this agility. To facilitate real-time risk prevention and improve agility, this research study proposes an innovative strategy that makes use of machine learning as well as predictive analytics approaches. Traditional supply chain risk management frequently uses post-event analysis as well as historical data, which restricts its ability to address real-time interruptions. This research, on the other hand, promotes a futuristic methodology that uses predictive analytics to foresee possible disruptions. Based on contextual and historical data, machine learning models can be trained to find patterns and correlations as well as anomalies that point to imminent dangers. Organizations can identify risks as they arise and take preventative measures by incorporating these models into a real-time monitoring system. This study examines numerous predictive analytics methods, showing how they can be used to spot supply chain risks. These methods include time series analysis and anomaly detection as well as natural language processing. Additionally, risk assessment models are continuously improved and optimized using machine learning algorithms, assuring their accuracy and adaptability in changing contexts. This research clarifies the symbiotic relationship among predictive analytics and machine learning as well as supply chain agility using a synthesis of theoretical discourse and practical evidence. Case studies from various sectors highlight the usefulness and advantages of the suggested strategy. The advantages of this novel technique include improved risk visibility and quicker response times as well as the capacity to quickly modify operations. The development of a holistic framework that incorporates predictive analytics and machine learning into risk management procedures, setting the path for real-time risk identification as well as mitigation, is one of the theoretical contributions. On the practical side, the case studies offered in this paper show the actual benefits as well as the adaptability of the proposed approach across a wide range of businesses.","url":"https://doi.org/10.3390/su152015088","authors":["Abeer Aljohani"],"tags":["Supply chain","Computer science","Analytics","Predictive analytics","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-20","doi":"https://doi.org/10.3390/su152015088","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4416735769","name":"Digitalization and digital platforms in the regional strategic industrial development","source":"openalex","abstract":"Digitalization is becoming a key driver of economic growth, particularly in the context of growing regional disparities and limited access to advanced technologies. Against the backdrop of sanctions pressure, market transformations, and the challenges of import substitution, there is an increasing need to rethink the role of digital platforms and infrastructure in ensuring sustainable industrial development at the regional level. Under these conditions, identifying the factors that promote digital transformation and labour productivity growth becomes critically important. This article explores how the development of digital communication channels, broadband internet access, the digital maturity of public administration, and investments in technology influence labour productivity in regional economies, with a particular focus on the manufacturing sector. The findings indicate that the impact of digitalization is uneven: it is significantly stronger in technologically advanced regions with well-developed infrastructure and high ICT competencies. Institutional conditions and the quality of government regulation, including support measures for domestic digital solutions, also play a crucial role. The analysis is based on panel data from Russian regions for the period 2021–2023 and employs econometric modelling using fixed and random effects models. The study demonstrates that the main drivers of productivity growth are the expansion of broadband infrastructure, the digital maturity of public governance, and targeted investments in digital technologies. The novelty of the research lies in its comprehensive approach to assessing the impact of digital factors on regional industrial development. The results provide a foundation for setting priorities in regional digital transformation policies and reducing the digital divide, as well as offering guidance for optimizing digital investment strategies.","url":"https://doi.org/10.17073/2072-1633-2025-3-1464","authors":["Svetlana Rastvortseva"],"tags":["Digital transformation","Productivity","Context (archaeology)","Business","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-21","doi":"https://doi.org/10.17073/2072-1633-2025-3-1464","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7166291090","name":"Choreographing the Dance of Decision Support: An Integrated Digital Twin and MCDM Framework for Predictive Maintenance in Smart Manufacturing","source":"openalex","abstract":"Digital Twin (DT) technologies have increasingly assumed a pivotal function within smart manufacturing, particularly in enhancing production efficiency, enabling real-time asset monitoring, and supporting predictive maintenance (PdM). Nevertheless, the conversion of substantial volumes of physical inspection data into actionable predictive models remains a significant challenge, especially concerning precision measurement and fault prevention. To confront this issue, the present study introduces an integrated Multi-Criteria Decision-Making and Digital Twin (MCDM-DT) framework aimed at facilitating predictive maintenance and offering effective decision support within smart manufacturing environments. The proposed framework is cloud-based, thereby enhancing system adaptability and responsiveness by synchronising real-time sensor outputs, inspection datasets, and virtual representations of assets. Machine learning algorithms, specifically a Starling Murmuration Optimiser-enhanced multi-kernel support vector machine (SMO-MK-SVM), are employed to assess equipment health and forecast potential failures with high accuracy. In parallel, MCDM methods, such as the Analytic Hierarchy Process (AHP), are utilised to assist in strategic maintenance planning. These methods evaluate various parameters including failure probabilities, potential downtime costs, inspection durations, and resource requirements, thereby enabling the ranking and prioritisation of maintenance tasks. By combining DT with MCDM, the proposed system offers a robust and comprehensive predictive maintenance solution, achieving enhanced predictive accuracy (98.2%) while ensuring efficient resource allocation and scheduling. This framework presents a scalable and practical tool for manufacturers seeking to adopt a proactive maintenance strategy, ultimately reducing equipment downtime, increasing operational efficiency, and improving overall product quality within smart manufacturing systems.","url":"https://doi.org/10.31181/dmame8120251463","authors":["Qian Lian","Lu Zhang"],"tags":["Predictive maintenance","Multiple-criteria decision analysis","Decision support system","Engineering","Downtime"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.31181/dmame8120251463","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4406049199","name":"Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion: A Case Study of Lanzhou Jiaotong University","source":"openalex","abstract":"Real-scene 3D digital campuses are essential for improving the accuracy and effectiveness of spatial data representation, facilitating informed decision-making for university administrators, optimizing resource management, and enriching user engagement for students and faculty. However, current approaches to constructing these digital environments face several challenges. They often rely on costly commercial platforms, struggle with integrating heterogeneous datasets, and require complex workflows to achieve both high precision and comprehensive campus coverage. This paper addresses these issues by proposing a systematic multi-source data fusion approach that employs open-source technologies to generate a real-scene 3D digital campus. A case study of Lanzhou Jiaotong University is presented to demonstrate the feasibility of this approach. Firstly, oblique photography based on unmanned aerial vehicles (UAVs) is used to capture large-scale, high-resolution images of the campus area, which are then processed using open-source software to generate an initial 3D model. Afterward, a high-resolution model of the campus buildings is then created by integrating the UAV data, while 3D Digital Elevation Model (DEM) and OpenStreetMap (OSM) building data provide a 3D overview of the surrounding campus area, resulting in a comprehensive 3D model for a real-scene digital campus. Finally, the 3D model is visualized on the web using Cesium, which enables functionalities such as real-time data loading, perspective switching, and spatial data querying. Results indicate that the proposed approach can effectively get rid of reliance on expensive proprietary systems, while rapidly and accurately reconstructing a real-scene digital campus. This framework not only streamlines data harmonization but also offers an open-source, practical, cost-effective solution for real-scene 3D digital campus construction, promoting further research and applications in twin city, Virtual Reality (VR), and Geographic Information Systems (GIS).","url":"https://doi.org/10.3390/ijgi14010019","authors":["Rui Gao","Guanghui Yan","Yingzhi Wang","Tianfeng Yan","Ruiting Niu","C. M. Tang"],"tags":["Computer science","Workflow","3D modeling","Automatic identification and data capture","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-03","doi":"https://doi.org/10.3390/ijgi14010019","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4410068249","name":"Industry 5.0 and Human-Centered Energy System: A Comprehensive Review with Socio-Economic Viewpoints","source":"openalex","abstract":"Industry 5.0 transforms industrial ecosystems via artificial intelligence (AI), human–machine collaboration, and sustainability-focused innovations. This systematic literature review examines Industry 5.0′s role in energy transition through digital transformation, sustainable supply chains, and energy efficiency strategies. Key findings highlight AI-driven smart grids, blockchain-enabled energy transactions, and digital twin simulations as enablers of low-carbon, adaptive industrial operations. This review uniquely integrates technological, managerial, and policy perspectives, providing actionable insights for policymakers and industry leaders. Industry 5.0 enhances innovative energy management, renewable energy integration, and flexible energy distribution, strengthening resilience and sustainability. It fosters environmental responsibility, social impact, and circular economy principles, laying the foundation for a low-carbon economy and accelerating the global energy transition.","url":"https://doi.org/10.3390/en18092345","authors":["Jin‐Li Hu","Yang Li","J. Chew"],"tags":["Viewpoints","Energy (signal processing)","Energy system","Business","Environmental economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-03","doi":"https://doi.org/10.3390/en18092345","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7134182786","name":"Human-Centered optimization through Digital Twins, and Motion Capture Technologies of a manual activity in the logistics sector","source":"openalex","abstract":"Industry 4.0 has enabled significant technological advances for industrial applications, creating new business opportunities but often neglecting how operators interact with increasingly complex systems. In contrast, Industry 5.0 emphasizes a human-cantered approach, highlighting the role of operators and their interaction with automation in modern industrial environments. Despite technological progress, many industrial sectors, such as logistics, continue to rely on fully manual tasks. These workstations are frequently poorly optimized, ergonomically inadequate, and not inclusive of diverse operators. The repetitive and physically demanding nature of such tasks can lead to fatigue, stress, and increased risk of injury, negatively impacting both operator well-being and productivity.This paper proposes an innovative methodology to optimize manual operations in the logistics sector through advanced technologies and a human-centered design approach. The goal is to enhance inclusivity, reduce physical loads, and minimize injury risks associated with repetitive or hazardous activities. To this end, motion capture systems (MoCap) and digital human simulation software were employed to develop a digital twin of both operators and workstations. This virtual model enabled the analysis of the current situation and the simulation of multiple optimization scenarios. By using this risk-free environment, alternative automation solutions were evaluated, and the most effective configurations were identified based on performance, efficiency, and safety.A comprehensive ergonomic evaluation complemented the analysis, assessing key indicators to define the optimal task distribution between human operators and automated systems. This ensured minimized physical load on operators while maximizing operational efficiency. Virtual reality (VR) technology was integrated into the validation process, allowing operators to interact directly with proposed solutions in a virtual setting. The proposed methodology was applied to a real logistics process to validate its practicality and effectiveness. Preliminary results confirmed its potential in industrial applications, demonstrating improvements in ergonomics, inclusivity, and productivity. These findings are further detailed and discussed in the final version of the paper.Additionally, a dedicated study was conducted on the number of sensors required in MoCap acquisitions. The objective was to determine the minimum number of sensors necessary to accurately reproduce operator motion, while exploiting the posture prediction capabilities of a digital human simulation software IPS IMMA. This analysis is important due to the fact that reducing the number of sensors directly lowers acquisition time, system complexity, and implementation costs, thereby making the methodology more practical and scalable for industrial deployment. By identifying an optimal compromise between sensor quantity and motion fidelity, the study contributes to the efficient and sustainable use of advanced motion capture technologies in industrial contexts.Overall, this work highlights the importance of integrating ergonomic considerations and human factors into industrial automation strategies. By placing the operator at the center of system design, the study demonstrates how logistics operations can be optimized not only for efficiency but also for inclusivity, safety, and operator well-being. These findings provide practical insights for the transition toward Industry 5.0, where human–machine collaboration is essential for sustainable productivity and improved job satisfaction.","url":"https://doi.org/10.54941/ahfe1007157","authors":["Manuela Vargas","Valerio Cibrario","Denise Tumiotto","Annalisa Bertoli","Cesare Fantuzzi"],"tags":["Automation","Task (project management)","Workstation","Computer science","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.54941/ahfe1007157","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412690944","name":"Development of a Construction-Information System by Measuring, Processing, and Utilizing 3D Data Toward Creating a Digital Twin","source":"openalex","abstract":"Because the scale and conditions of construction sites vary widely and it can be difficult to use a onesize-fits-all method to acquire data, a method for transferring and utilizing three-dimensional (3D) data from one stage to another in construction projects is urgently needed.In this study, we developed a construction-information system based on 3D point cloud data, taking into consideration the characteristics and conditions of construction sites and the definition of information systems in order to efficiently distribute and utilize 3D data.The use cases of the system were applied to the digital twin of a construction site.3D point cloud data constructed using UAVs and camera-based photogrammetry were used to visualize the progress at the construction site and to understand the transition of earthworks.The results suggested the necessity of changing the measurement and processing methods according to the conditions of the construction site and the intended use of the data, as well as devising ways to reduce the impact on the current workflow.","url":"https://doi.org/10.22260/isarc2025/0087","authors":["Satoshi Kubota","Aika Yamaguchi"],"tags":["Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.22260/isarc2025/0087","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7134983805","name":"A closed-loop framework integrating robotic inspection and digital twins for fatigue prognosis of in-service steel bridges","source":"openalex","abstract":"Fatigue cracking threatens the safety of orthotropic steel decks (OSDs) in long-span bridges, yet current manual inspection lacks predictive depth. We present a closed-loop framework integrating autonomous robotic inspection, vision-based quantification, and finite-element fracture mechanics to enable adaptive fatigue prognosis. In laboratory validation, the robotic platform achieved a mean localization accuracy of 2.7 ± 0.8 cm, meeting structural precision requirements. Field deployment on an in-service cable-stayed bridge demonstrated that automated inspection reduced average time per girder from 124.6 to 50.4 minutes-a 59.6% reduction. Identified cracks were assimilated into a digital twin for adaptive state updating. Analysis of discrepancies between simulated and observed propagation paths-interpreted via stress intensity factor fields-highlighted significant mixed-mode fracture effects, particularly elevated Mode-II (shear) contributions, as a primary source of predictive uncertainty under in-service conditions. This integration of robotics and digital twins provides a scalable solution for automated maintenance. Beyond labor reduction, the framework establishes a data-driven path toward proactive life-cycle management, enhancing the structural resilience and long-term safety of critical transportation infrastructure.","url":"https://doi.org/10.1038/s44172-026-00637-0","authors":["Xiaodong Li","Z. Q. Fu","Hongbin Guo","Bohai Ji","Zhaodong Xu"],"tags":["Software deployment","Robotics","Engineering","Resilience (materials science)","Bridge (graph theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.1038/s44172-026-00637-0","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415766174","name":"Persona-driven generative AI in pharmaceuticals","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.drudis.2025.104520","authors":["Yun Wan","Makoto Nakayama","Cesar Floyd Aldana","Frank Alvino Jarvis"],"tags":["Transformative learning","Generative grammar","Computer science","Domain (mathematical analysis)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.1016/j.drudis.2025.104520","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409242125","name":"Advanced Computational Methods for Optimizing Mechanical Systems in Modern Engineering Management Practices.","source":"openalex","abstract":"The rapid evolution of engineering management in the 21st century has been significantly influenced by the integration of advanced computational methods aimed at optimizing mechanical systems.As industries pursue increased performance, reduced operational costs, and enhanced sustainability, computational techniques have become indispensable tools for decision-making, design, and predictive maintenance.Traditionally reliant on empirical models and manual calibration, mechanical systems are now evaluated and refined through data-driven simulations, multi-physics modeling, and algorithmic optimization strategies.This paper explores the strategic implementation of advanced computational methods-such as finite element analysis (FEA), computational fluid dynamics (CFD), machine learning (ML), and evolutionary algorithms-in optimizing mechanical systems across diverse sectors.The study highlights how these methods support improved structural integrity, energy efficiency, and real-time system diagnostics, thereby enhancing operational reliability and lifecycle performance.Furthermore, the paper delves into their role in facilitating digital twins, adaptive control mechanisms, and predictive analytics, which are increasingly vital in modern engineering management frameworks.Emphasis is placed on the synergistic interaction between computational intelligence and traditional engineering principles, supported by robust management practices that align technical optimization with organizational goals.Case studies from automotive, aerospace, and manufacturing sectors illustrate practical outcomes, showcasing reduced prototyping costs, enhanced predictive capabilities, and accelerated time-to-market.Challenges surrounding computational complexity, data quality, and workforce readiness are also addressed.The findings underscore that embracing computational optimization not only improves mechanical system performance but also strengthens strategic engineering management through data-informed decision support and continuous innovation.","url":"https://doi.org/10.55248/gengpi.6.0325.12178","authors":["Joseph Nnaemeka Chukwunweike","Habeeb Dolapo Salaudeen"],"tags":["Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.55248/gengpi.6.0325.12178","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4417329384","name":"Digital Twin Approaches for Gear NVH Optimization: A Literature Review of Modeling, Data Integration, and Validation Gaps","source":"openalex","abstract":"Quiet drivetrains have become a central requirement in modern electric vehicles, where the absence of engine masking makes even subtle gear tones clearly audible. As a result, manufacturers are looking for more reliable ways to understand how design choices, manufacturing variability, and operating conditions shape gear noise and vibration. Digital Twin (DT) approaches—linking high-fidelity models with measured data throughout the product lifecycle—offer a potential route to achieve this, but their use in gear NVH is still emerging. This review examines recent work from the past decade on DT concepts applied to gears and drivetrain NVH, drawing together advances in simulation, metrology, sensing, and data exchange standards. The survey shows that several building blocks of an NVH-oriented twin already exist, yet they are rarely combined into an end-to-end workflow. Clear gaps remain. Current models still struggle with high-frequency behavior. Real-time operation is also limited. Manufacturing and test data are often disconnected from simulations. Validation practices lack consistent NVH metrics. Hybrid and surrogate modeling methods are used only to a limited extent. The sustainability benefits of reducing prototypes are rarely quantified. These gaps define the research directions needed to make DTs a practical tool for future gear NVH development. A research Gap Map is presented, categorizing these gaps and their impact. For each gap, we propose actionable future directions—from multiscale “hybrid twins” that merge test data with simulations, to benchmark datasets and standards for DT NVH validation. Closing these gaps will enable more reliable gear DTs that reduce development costs, improve acoustic quality, and support sustainable, data-driven NVH optimization.","url":"https://doi.org/10.3390/machines13121141","authors":["Krisztián Horváth","Ambrus Zelei"],"tags":["Noise, vibration, and harshness","Drivetrain","Computer science","Engineering","Backlash"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-15","doi":"https://doi.org/10.3390/machines13121141","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7144347857","name":"Zastosowanie technologii Digital Twin w edukacji zawodowej jako odpowiedź na wyzwania Przemysłu 4.0","source":"openalex","abstract":"Artykuł podejmuje analizę przemian zachodzących w obszarze Przemysłu 4.0 oraz ich implikacji dla kształcenia w szkołach branżowych, ze szczególnym uwzględnieniem technologii cyfrowego bliźniaka (Digital Twin, DT). Wskazano na rosnące znaczenie nowych kompetencji zawodowych oraz wyzwania stojące przed uczniami w kontekście dynamicznego rozwoju technologii cyfrowych. Celem pracy jest przedstawienie możliwości integracji technologii cyfrowego bliźniaka z procesem dydaktycznym w szkołach branżowych jako istotnego elementu wspierającego rozwój kompetencji przyszłości. W artykule omówiono rozwój technologii DT, przykładowe obszary jej zastosowań w Przemyśle 4.0 oraz zaproponowano sposoby włączenia wybranych rozwiązań DT do programów nauczania. Badania oparto na analizie literatury przedmiotu, studiach przypadków wdrożeń technologii DT w szkołach w Niemczech oraz analizie rezultatów międzynarodowego projektu DiTwin. Wyniki potwierdzają zasadność i potrzebę wdrażania technologii cyfrowego bliźniaka w edukacji zawodowej jako narzędzia wspierającego nauczanie praktyczne oraz rozwój kompetencji technicznych i miękkich uczniów.","url":"https://doi.org/10.24917/20801653.401.5","authors":["Monika Noviello"],"tags":["Engineering","Physics","Philosophy","Context (archaeology)","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.24917/20801653.401.5","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7123456014","name":"Achieving clinically meaningful outcomes in digital health: a six-step, cyclical precision engagement framework (ENGAGE)","source":"openalex","abstract":"By leveraging everyday technologies such as mobile apps, wearables, and AI-enabled tools, digital health interventions (DHIs) offer new pathways to integrate self-management and intervention programs into the fabric of daily life, while bridging gaps in care through continuous, context-aware support. Yet many tools underperform clinically because digital engagement (\"screen time\") is conflated with impact, while behavioral science is retrofitted, if applied at all. We propose the ENGAGE Framework: a cyclical, six-step model of precision engagement that integrates user needs, behavioral science, and adaptive personalization to transform initial curiosity into sustained real-world habits. By leveraging available data, users can be segmented according to their need (Step 1: Enroll & Segment), targeted with the most relevant and engaging message to increase micro-engagement (Step 2: Nudge & Hook), and persuaded to engage in real-world health behavior change (Step 3: Guide Behavior). From this macro-engagement step, additional core behavioral science principles are used to reinforce the real-world behaviors long enough to positively impact health outcomes (Step 4: Anchor Habits), while measuring progress (Step 5: Generate Evidence) to inform adaptive and optimized engagement strategies (Step 6: Expand & Evolve with AI) for tailored interventions and communications based on user characteristics, context, and clinical data for both new and existing users. Each step of the ENGAGE Framework maps to evidence-based techniques, implementation tactics (e.g., integration pathways and operational deployment strategies), and metrics that help translate superficial engagement into long-lasting behavior change and measurable clinical outcomes. We synthesize relevant engagement literature, identify gaps and challenges (e.g., measurement heterogeneity, lack of focus on macro-engagement, product development challenges, ecosystem barriers), and offer a practical checklist for innovators. By focusing on who needs what support, when and why, ENGAGE aims to help DHI developers and researchers design interventions that are effective, equitable, and empirically testable.","url":"https://doi.org/10.3389/fdgth.2025.1713334","authors":["Anne‐Kathrin Eiselt","Suzanne Kirkendall","Engelina Xiong","David Langner","Micah Bryan Goldfarb"],"tags":["Personalization","Psychological intervention","Software deployment","Digital health","Behavior change"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3389/fdgth.2025.1713334","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4417113999","name":"A Dual Digital Twin Framework for Reinforcement Learning: Bridging Webots and MuJoCo with Generative AI and Alignment Strategies","source":"openalex","abstract":"Deep reinforcement learning (DRL) has shown potential for robotic training in virtual environments; however, challenges remain in bridging simulation and real-world deployment. This paper introduces an extended reinforcement learning framework that advances beyond traditional single-environment approaches by proposing a dual digital twin concept. Specifically, we suggest creating a digital twin of the robot in Webots and a corresponding twin in MuJoCo, enabling policy training in MuJoCo’s optimized physics engine and subsequent transfer back to Webots for validation. To ensure consistency across environments, we introduce a digital twin alignment methodology, synchronizing sensors, actuators, and physical model characteristics between the two simulators. Furthermore, we propose a novel testing framework that conducts controlled experiments in both virtual environments to quantify and manage divergence, thereby improving robustness and transferability. To address the cost and complexity of maintaining two high-fidelity models, we leverage generative AI agents to automate the creation of the secondary digital twin, significantly reducing engineering overhead. The proposed framework enhances scalability, accelerates training, and improves the reliability of sim-to-real transfer, paving the way for more efficient and adaptive robotic systems.","url":"https://doi.org/10.3390/electronics14244806","authors":["Algirdas Laukaitis","Andrej Šareiko","Dalius Mažeika"],"tags":["Reinforcement learning","Bridging (networking)","Computer science","Leverage (statistics)","Robustness (evolution)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-06","doi":"https://doi.org/10.3390/electronics14244806","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411890354","name":"Transport System Digitalization in the Mining Industry","source":"openalex","abstract":"The mining industry faces increasing pressure to improve efficiency, reduce operational costs, and adapt to modern technological trends. Central to these challenges is digitalization. This paper compares the level of digitalization in the mining industry internationally and in Slovakia, raising the question of the feasibility of implementing digitalization tools in small-scale Slovak mining operations. The presented case study demonstrates the creation of a simulation model and 3D animation for the development of small and medium-sized open pit mines, using Tecnomatix Plant Simulation software version 2302.0004, empirical data collection, and programming with SimTalk 2.0. Internationally, digitalization through modeling and simulation is already at a much higher level, with advanced solutions such as digital twins. In contrast, digitalization in Slovak mining operations is limited to basic simulation approaches, with only a few documented attempts, highlighting substantial opportunities for further development. The simulation model developed in this study enables more efficient planning and management of logistics and transportation processes, with potential benefits for operational improvements, safety, and sustainability. Adopting digitalization, even in small-scale operations, can drive the future development of the Slovak mining industry.","url":"https://doi.org/10.3390/su17136038","authors":["Marek Ondov","Janka Šaderová","Andrea Sofrankova","Lukáš Horizral","Peter Kačmáry"],"tags":["Mining industry","Business","Manufacturing engineering","Engineering","Mining engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.3390/su17136038","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415598584","name":"Digital Twins in the Cloud: A Modular, Scalable and Interoperable Framework for Accelerating Verification and Validation of Autonomous Driving Solutions","source":"openalex","abstract":"Abstract Verification and validation (V&V) of autonomous vehicles (AVs) is critical to ensure operational safety, reliability, and regulatory compliance. This typically requires exhaustive testing across a variety of operating environments and driving scenarios including rare, extreme, or hazardous situations that might be difficult or impossible to capture in reality. Additionally, physical V&V methods such as track-based evaluations or public-road testing are often constrained by time, cost, and inherent safety issues, which motivates the need for virtual proving grounds. However, the fidelity and scalability of simulation-based V&V methods can quickly turn into a bottleneck, given the sheer amount of test cases that need to be executed. In such a milieu, this work proposes a framework that flexibly scales digital twin simulations within high-performance computing clusters (HPCCs) and automates the V&V process. Here, digital twins enable the creation of high-fidelity virtual representations of the AV and its operating environments, allowing extensive scenario-based testing in precisely controlled yet realistic simulations. Meanwhile, cloud-based HPCC infrastructure brings substantial advantages in terms of computational power and scalability, enabling rapid iterations of simulations, processing and storage of massive amounts of data, and deployment of large-scale test campaigns, thereby reducing the time and cost associated with the V&V process. We demonstrate the efficacy of this approach through a case study on variability analysis of a candidate autonomy algorithm to identify vulnerabilities in its perception, planning, and control sub-systems. The modularity, scalability, and interoperability of the proposed framework are demonstrated by deploying a test campaign comprising 256 test cases on two different HPCC architectures to ensure continuous operation in a publicly shared resource setting. The findings highlight the ability of the proposed framework to accelerate and streamline the V&V process by significantly compressing (∼ 30×) the timeline.","url":"https://doi.org/10.1115/detc2025-163799","authors":["Tanmay Vilas Samak","Chinmay Vilas Samak","Giovanni Da San Martino","Pranav Nair","Venkat Krovi"],"tags":["Computer science","Scalability","Interoperability","Software deployment","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-17","doi":"https://doi.org/10.1115/detc2025-163799","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4412201802","name":"A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme","source":"openalex","abstract":"As global energy demand intensifies across industrial, commercial, and residential domains, efficient and accurate energy management and control become crucial. Energy Digital Twins (EDTs), leveraging sensor measurement data and precise time-series forecasting models, offer promising monitoring, prediction, and optimization solutions for such services. Edge computing enables EDTs to deliver real-time management services placed closer to users. However, the existing energy management methodologies may fail to consider the limited resources of edge environments, which may cause service delays and reduced accuracy in management services. To solve this problem, we propose a novel energy control digital twin system with a resource-aware optimal forecasting mode selection scheme. The system dynamically selects optimal forecasting models by integrating statistical features of the input time series with available resources. It employs a two-stage approach: first, it identifies promising models through similarity detection in past time series; second, this initial recommendation is refined by considering the available computing resources to pinpoint the optimal forecasting model. This mechanism enhances adaptability and responsiveness in resource-constrained environments. Utilizing real-world LPG consumption data from 887 sensors, the proposed system achieves forecasting accuracy comparable to previous methods while reducing latency by up to 19 times in low-resource settings.","url":"https://doi.org/10.3390/app15147738","authors":["Jin-Woo Kwon","Anwar Rubab","Won-Tae Kim"],"tags":["Computer science","Scheme (mathematics)","Selection (genetic algorithm)","Resource (disambiguation)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-10","doi":"https://doi.org/10.3390/app15147738","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7164159410","name":"Glasgow Public and Private 5G Performance Dataset (2025): Acquisition and Comparative Analysis","source":"openalex","abstract":"Abstract The rollout of 5G promised gigabit speeds and sub-10 ms latency for smart cities and IoT, but real-world urban performance in the United Kingdom remains poorly documented, with few openly accessible multi-provider datasets at neighbourhood resolution. We present a publicly released dataset of 720 outdoor 5G measurements collected across 15 Glasgow neighbourhoods over three consecutive days (6–8 April 2025), using all four major UK operators (EE, Vodafone, O2, Sky Mobile) and two consumer devices (Samsung Galaxy S24 Ultra and Google Pixel 9 Pro). This dataset was collected as part of the Ayrshire 5G Innovation Region (5GIR) project to serve as a real-world urban benchmark, providing a reference for what mature public 5G performance looks like in a comparable Scottish city, against which future Ayrshire public connectivity can be assessed. City-wide averages were 670.63 Mbps download, 165.05 Mbps upload, 21.62 ms ping, and −77.85 dBm SS-RSRP. Individual download measurements ranged from 47.84 to 1248.95 Mbps, with a coefficient of variation of 45.7%, reflecting the high variability characteristic of shared urban 5G spectrum. O2 recorded the highest median download speed (744.9 Mbps), and suburban neighbourhoods consistently outperformed the urban core. Signal strength showed negligible correlation with throughput ( r = 0.02), highlighting the complexity of real-world 5G performance. The dataset is permanently archived and openly available under CC-BY 4.0 on Zenodo 1 and is intended for reuse in urban propagation modelling, coverage prediction, smart-city planning, digital twinning, and as a 2025 baseline for 6G benchmarking.","url":"https://doi.org/10.1038/s41597-026-07600-w","authors":["Ahren Hart","Hamish Sturley","Paul Mclean","Pablo Salvá-García","Muhammad Zeeshan Shakir"],"tags":["Download","Neighbourhood (mathematics)","Geography","Computer science","Upload"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-10","doi":"https://doi.org/10.1038/s41597-026-07600-w","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7130646650","name":"Autonomous Energy Management Systems for Port and Maritime Electrical Infrastructure Using Digital-Twin-Driven Architectures","source":"openalex","abstract":"This study examines the evolving role of intelligent, data-centric energy management frameworks in addressing the growing operational, environmental, and governance complexities of modern port and maritime electrical infrastructure. As ports transition toward highly electrified and interconnected systems, conventional supervisory approaches are increasingly constrained by non-stationary demand, distributed energy resources, and heightened resilience requirements. The purpose of this study is to investigate how the integration of real-time system representation, advanced analytics, and learning-based control can support adaptive, secure, and sustainable energy operations within maritime environments. The study adopts a comprehensive analytical approach grounded in an extensive synthesis of interdisciplinary literature spanning energy systems engineering, digital modelling, artificial intelligence, cybersecurity, and infrastructure governance. Conceptual architectural analysis is employed to examine how real-time data acquisition, simulation, optimisation and autonomous decision-making can be coherently integrated within operational energy management frameworks. Particular attention is given to socio-technical considerations, including regulatory compliance, workforce capability and institutional readiness, which critically influence system performance and acceptance. The analysis reveals that digitally mediated energy management frameworks enable a shift from reactive, asset-level control toward proactive, system-level optimisation. Key findings indicate that predictive and learning-based analytics enhance operational resilience, improve energy efficiency and support emissions reduction when embedded directly into control workflows. However, the study also identifies persistent challenges related to model standardisation, validation of autonomous decisions, cybersecurity assurance and the integration of emerging energy carriers. The study concludes that intelligent energy management frameworks offer a viable pathway for achieving resilient, environmentally responsible and economically efficient port energy operations. It recommends continued interdisciplinary research, the development of robust governance and certification mechanisms, and sustained investment in human capital to ensure safe, trustworthy and scalable deployment across diverse maritime contexts.","url":"https://doi.org/10.62225/2583049x.2026.6.1.5740","authors":["Habeeb Shittu","Ibukun Olaoluwa Adeniji","Oghenemaero Oteri","Mujeeb A. Shittu"],"tags":["Energy management","Resilience (materials science)","Energy management system","Systems engineering","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"https://doi.org/10.62225/2583049x.2026.6.1.5740","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7118997326","name":"Knowledge graph-driven digital preservation of intangible cultural heritage: a cross-cultural comparative study of Chinese and Western implementation paradigms","source":"openalex","abstract":"The digital preservation of intangible cultural heritage (ICH) has become a vital strategy for sustaining cultural diversity in the face of globalization and digital transformation. This study employs bibliometric analysis and CiteSpace visualization tools to examine 798 research articles from the Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases (2006–2024). It provides a systematic comparative analysis of methodologies and paradigms in ICH digitization across Chinese and Western academic discourses. The findings reveal distinct conceptual orientations: Western research tends to be technology-centric, emphasizing virtual reality (VR), augmented reality (AR), and blockchain for heritage data modeling, digital archiving, and virtual exhibitions. In contrast, Chinese research adopts a culture–technology symbiosis approach, focusing on digital storytelling, with an emphasis on tourism-integrated innovation, community participation, and interdisciplinary collaboration. A temporal analysis highlights digital twins and artificial intelligence (AI) as emerging transformative forces shaping global ICH preservation, integrating technological advancements with cultural imperatives. To address existing gaps, this study proposes a technology–culture–community synergy framework, fostering a holistic and inclusive approach to ICH digitization. By bridging technological rationality with humanistic values, this study contributes to comparative ICH digitization discourse and provides practical guidance for building inclusive digital ecosystems. Ultimately, it contributes to global heritage discourse by redefining digital technology not only as a preservation tool but also as a driver of cultural innovation, offering a strategic roadmap for balancing technological advancement with the ontological integrity of intangible heritage.","url":"https://doi.org/10.1057/s41599-025-06186-9","authors":["Kexin Ren","Johnny F. I. Lam"],"tags":["Digitization","Digital preservation","Cultural heritage","Knowledge management","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-06","doi":"https://doi.org/10.1057/s41599-025-06186-9","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W3178673686","name":"New but for whom? Discourses of innovation in precision agriculture","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10460-021-10244-8","authors":["Emily Duncan","Alesandros Glaros","Dennis Z. Ross","Eric Nost"],"tags":["Agriculture","Environmental sociology","Development studies","Precision agriculture","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-14","doi":"https://doi.org/10.1007/s10460-021-10244-8","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7147194776","name":"Healthcare digital twins: A methodological literature review on integrating iot and AI for personalized medicine and predictive care","source":"openalex","abstract":"Digital Twin (DT) technology has the potential to revolutionize healthcare delivery and enhance patient outcomes through personalized and precision medicine, simulation models for operations and interventions, and drug discovery. However, successful implementation of DTs in Internet of Things (IoT) and artificial intelligence (AI) healthcare is contingent upon addressing key challenges such as privacy, ethics, and robust data security. This paper presents a methodological literature review of DT applications in healthcare, systematically analyzing the current state of research, key enabling technologies, and implementation challenges. The review summarizes DT categorization approaches (application-based, technology-based, and real-time function-based); delineates core DT components such as sensors, data pipelines, AI/ML capabilities, security and governance measures; and surveys data collection and sensing technologies spanning EHRs, wearable/IoMT devices, and medical imaging. It further synthesizes diverse case studies across hospital management, diagnosis and treatment, patient monitoring and management, personalized therapies, and medical devices, highlighting both performance gains and translational gaps. Based on the corpus, the review identifies data integration and interoperability across heterogeneous healthcare systems as the foundational barrier to widespread DT adoption; without standardized protocols and semantics for multi-source data fusion and real-time exchange, the promise of adaptive, personalized, and predictive care remains largely unrealized. Finally, we outline actionable directions including standards-aligned data models, privacy-preserving learning (for example, federated or split learning), measurable clinical validation, and workflow-aware user experience design to accelerate translation from prototypes to routine clinical practice.","url":"https://doi.org/10.1016/j.teler.2026.100325","authors":["Sara Shahnazinia","Mahsa Tavasoli","Abdolhossien Sarrafzadeh","Ali Karimoddini"],"tags":["Interoperability","Computer science","Health care","Data science","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-31","doi":"https://doi.org/10.1016/j.teler.2026.100325","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7165152461","name":"Digital empowerment for green: the impact of supply chain digitalization and enterprise energy efficiency","source":"openalex","abstract":"Improving energy efficiency in the supply chain is now a crucial component in advancing sustainable development. As a motivational force, digital technology offers new opportunities to optimise energy consumption throughout the supply chain. Based on the data of Chinese A-share listed enterprises from 2010 to 2022, this paper takes the supply chain digitalization pilot policy as an exogenous shock and uses the difference-in-difference method to thoroughly investigate the impact of supply chain digitalization on enterprise’s supply chain energy efficiency (SCEE). The research finds that supply chain digitalization can significantly improve an enterprise’s SCEE, and its promoting effect is more pronounced in non-heavily polluting, capital-intensive, and technology-intensive enterprises. In addition, the mechanism analysis results show that by enhancing the industrial concentration and innovation capability, supply chain digitalization can effectively promote the improvement of SCEE. Further analysis shows that firms’ productivity plays a positive moderating role, while environmental uncertainty plays a negative moderating role. Our findings offer enterprises a theoretical framework for advancing the sustainable transformation.","url":"https://doi.org/10.1057/s41599-026-07969-4","authors":["Qi Qin","X P Chen","Tianyi Zhang","Linfang Tan","Da Gao"],"tags":["Supply chain","Business","Industrial organization","Productivity","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-18","doi":"https://doi.org/10.1057/s41599-026-07969-4","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2751246796","name":"Genetic Associations with Gestational Duration and Spontaneous Preterm Birth","source":"openalex","abstract":"BACKGROUND: Despite evidence that genetic factors contribute to the duration of gestation and the risk of preterm birth, robust associations with genetic variants have not been identified. We used large data sets that included the gestational duration to determine possible genetic associations. METHODS: ) in the discovery set. RESULTS: In the discovery and replication data sets, four loci (EBF1, EEFSEC, AGTR2, and WNT4) were significantly associated with gestational duration. Functional analysis showed that an implicated variant in WNT4 alters the binding of the estrogen receptor. The association between variants in ADCY5 and RAP2C and gestational duration had suggestive significance in the discovery set and significant evidence of association in the replication sets; these variants also showed genomewide significance in a joint analysis. Common variants in EBF1, EEFSEC, and AGTR2 showed association with preterm birth with genomewide significance. An analysis of mother-infant dyads suggested that these variants act at the level of the maternal genome. CONCLUSIONS: In this genomewide association study, we found that variants at the EBF1, EEFSEC, AGTR2, WNT4, ADCY5, and RAP2C loci were associated with gestational duration and variants at the EBF1, EEFSEC, and AGTR2 loci with preterm birth. Previously established roles of these genes in uterine development, maternal nutrition, and vascular control support their mechanistic involvement. (Funded by the March of Dimes and others.).","url":"https://doi.org/10.1056/nejmoa1612665","authors":["Ge Zhang","Bjarke Feenstra","Jonas Bačelis","Xueping Liu","Lisa M. Muglia","Julius Juodakis","Daniel E. Miller","Nadia K. Litterman","Panpan Jiang","Laura Russell","David A. Hinds","Youna Hu","Matthew T. Weirauch","Xiaoting Chen","Arun R. Chavan","Günter P. Wagner","Mihaela Pavličev","Mauris C. Nnamani","Jamie Maziarz","Minna K. Karjalainen","Mika Rämet","Verena Sengpiel","Frank Geller","Heather A. Boyd","Aarno Palotie","Allison M. Momany","Bruce Bedell","Kelli K. Ryckman","Johanna M. Huusko","Carmy Forney","Leah C. Kottyan","Mikko Hallman","Kari Teramo","Ellen A. Nøhr","George Davey Smith","Mads Melbye","Bo Jacobsson","Louis J. Muglia"],"tags":["Duration (music)","Obstetrics","Gestational age","Medicine","Pregnancy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-09-06","doi":"https://doi.org/10.1056/nejmoa1612665","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409236558","name":"From a digital calibration certificate to a digital quality infrastructure","source":"openalex","abstract":"Digitalizing the quality infrastructure is a very substantial objective for public and industrial stakeholders. A huge variety of quality related documents exist and need to be considered and transformed thoroughly into an appropriate digital representation. Early initiatives were started to digitalize the calibration certificate and the international system of units. GEMIMEG-II was a German lighthouse project with industry partners to verify and enhance the concept of digital calibration certificates for different industrial use-cases. Fundamental requirements of a digital quality document concern the standardisation of content regarding semantics, ontologies and the ability to proof originality and authenticity for all digital quality related documents. A versatile digital quality infrastructure benefits from a common structural concept supporting the variety of quality related documents and bears synergies for commonalities in content. The DX document schema and its underlying norms and standards can serve as a common conceptual framework to generate harmonized quality related digital documents and to exploit the data contained efficiently and unambiguously. International applicability and industrial processes require an efficient, productive and process integrable digital quality infrastructure. Functional requirements and opportunities of a harmonized approach for digital quality related documents will be discussed in depth.","url":"https://doi.org/10.1051/epjconf/202532301003","authors":["Thomas Engel"],"tags":["Calibration","Certificate","Quality (philosophy)","Computer science","Remote sensing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1051/epjconf/202532301003","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7123341275","name":"“That’s the dream, right?”: reflections on the co-design of an environmental digital twin by flood risk management professionals","source":"openalex","abstract":"A Digital Twin (DT) dynamically represents the near-real-time status of a system, allowing users to visualise its current and forecasted status, and test interventions. Emerging technologies, such as DTs, could be transformative for working practices in environmental risk management. However, the development of DTs for environmental management and disaster risk reduction involves extensive challenges. Within Flood Risk Management (FRM), this process is complicated by the involvement of multiple professional stakeholders with diverse statutory responsibilities, priorities, and needs. There is also no formal method for the design of DTs or established method of accounting for end user needs. Processes tend to be top-down and technology driven, rather than bottom-up and user focused. This paper presents one of the first attempts to explore user co-design within the development of a DT. It stems from FLOODTWIN - an interdisciplinary DT demonstrator project for FRM in Hull and the East Riding of Yorkshire (United Kingdom), a region with complex, compound flood risk. Using data from participatory workshops and interviews, we explore the project’s co-creation process with professional FRM stakeholders, mapping emerging opportunities and challenges in the development of DTs and their interfaces from a qualitative, ethnographic perspective. We reflect on the diverse perspectives of professional users, how they engage with emerging technologies, the politics of data-sharing, and the role of academic research in shaping future development of DTs in FRM practice. We present a new evidence-base to inform future research on the co-creation of digital tools in multi-agency decision-making for FRM and wider environmental management. The paper proposes a research planning framework for navigating co-design processes in future projects to develop environmental DTs. In so doing, the paper also illustrates ways in which sub-optimal water risk management is socially constructed, and not merely a technical challenge to be surmounted.","url":"https://doi.org/10.3389/fenvs.2025.1724250","authors":["Helen Underhill","Lindsey McEwen","Thomas Coulthard"],"tags":["Transformative learning","Risk management","Flood myth","Disaster risk reduction","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3389/fenvs.2025.1724250","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4406233782","name":"Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review","source":"openalex","abstract":"Data-driven technologies in smart buildings offer significant opportunities to enhance energy efficiency, sustainability, and occupant comfort. However, the existing literature often lacks a holistic examination of the technological advancements, adoption barriers, and business models necessary to realize these benefits. To address this gap, this scoping review synthesizes current research on these technologies, identifies factors influencing their adoption, and examines supporting business models. Inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a structured search of the literature across four major databases yielded 112 relevant studies. The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. Energy optimization is further achieved through integrating renewable energy resources and advanced energy management systems, such as Home Energy Management Systems and Building Energy Management Systems. Factors influencing adoption are categorized into social influences, individual perceptions, cost considerations, security and privacy concerns, and data quality issues. The analysis of business models emphasizes the need to align technological innovations with market needs, focusing on value propositions like cost savings and efficiency improvements. Despite the benefits, challenges such as high initial costs, technical complexities, security risks, and user acceptance hinder their widespread adoption. This review highlights the importance of addressing these challenges through the development of cost-effective, interoperable, secure, and user-centric solutions, offering a roadmap for future research and industry applications.","url":"https://doi.org/10.3390/en18020290","authors":["Joy Dalmacio Billanes","Zheng Ma","Bo Nørregaard Jôrgensen"],"tags":["Interoperability","Business model","Risk analysis (engineering)","Cloud computing","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.3390/en18020290","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W7127633690","name":"Simultaneous Digital Twin: Chaining Climbing-Robot, Defect Segmentation, and Model Updating for Building Facade Inspection","source":"openalex","abstract":"The rapid deterioration of building facades presents substantial safety hazards in urban environments, necessitating advanced, automated inspection solutions. While computer vision (CV) and deep learning (DL) techniques have shown promise for defect analysis, critical gaps remain in achieving real-time, quantitative, and generalizable damage assessment suitable for robotic deployment. Current methods often lack precise metric quantification, struggle with diverse material appearances, and are computationally intensive for on-site processing. To address these limitations, this paper introduces a fully automated, end-to-end inspection framework integrating a wall-climbing robot, a real-time vision-based analysis system, and a digital twin management platform. The primary contributions are threefold: (1) a novel, fully integrated robotic framework for autonomous navigation, multi-sensor data collection, and real-time analysis; (2) a lightweight, synthetic data-augmented DL model for real-time defect segmentation and metric quantification, achieving a mean Average Precision (mAP) of 0.775 for segmentation, an average defect length error of 1.140 cm, and an average center position error of 0.826 cm; (3) a cloud-based digital twin platform enabling quantitative defect visualization, spatiotemporal traceability, and data-driven project management, with the on-site inspection cycle demonstrating a responsive latency of 2.8–4.8 s. Validated through laboratory tests and real building projects, the framework demonstrates significant improvements in inspection efficiency, quantitative accuracy, and decision support over conventional methods.","url":"https://doi.org/10.3390/buildings16030646","authors":["Changhao Song","Chang Lü","Yilong Shi","Aili He","Jia‐Rui Lin","Zhiliang Ma"],"tags":["Facade","Metric (unit)","Segmentation","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-04","doi":"https://doi.org/10.3390/buildings16030646","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4406246913","name":"Use, Potential, Needs, and Limits of AI in Wastewater Treatment Applications","source":"openalex","abstract":"Artificial intelligence (AI) uses highly powerful computers to mimic human intelligent behavior; it is a major research hotspot in science and technology, with an increasing number of applications to a wider range of fields, including complex process supervision and control. Wastewater treatment is an example of a complex process involving many uncertainties and external factors to achieve a final product with specific requisites (effluents with prescribed quality). Reducing process energy consumption, greenhouse gas emissions, and resources recovery are additional requirements of these facilities’ operation. AI could extend the purpose and the expected results of previously adopted tools and present operational approaches by leveraging superior simulation, prediction, control, and adaptation capabilities. This paper reviews current AI research in the wastewater field and discusses present achievements and potentials. So far, almost all applications in the sector involve predictive studies, often at a small scale or with limited data use. Frontline research aimed at the creation of AI-supported digital twins of real systems is being conducted, with few encouraging but still limited applications. This paper aims at identifying and discussing key barriers to wider AI adoption in the field, which include laborious instrumentation maintenance, lack of process expertise in the design of current software, instability of control loops, and insufficient incentives for resource efficiency achievement.","url":"https://doi.org/10.3390/w17020170","authors":["Andrea G. Capodaglio","Arianna Callegari"],"tags":["Computer science","Risk analysis (engineering)","Process (computing)","Incentive","Instrumentation (computer programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.3390/w17020170","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416716941","name":"An IoT-Enabled Digital Twin Architecture with Feature-Optimized Transformer-Based Triage Classifier on a Cloud Platform","source":"openalex","abstract":"It is essential to assign the correct triage level to patients as soon as they arrive in the emergency department in order to save lives, especially during peak demand. However, many healthcare systems estimate the triage levels by manual eyes-on evaluation, which can be inconsistent and time consuming. This study creates a full Digital Twin-based architecture for patient monitoring and automated triage level recommendation using IoT sensors, AI, and cloud-based services. The system can monitor all patients’ vital signs through embedded sensors. The readings are used to update the Digital Twin instances that represent the present condition of the patients. This data is then used for triage prediction using a pretrained model that can predict the patients’ triage levels. The training of the model utilized the synthetic minority over-sampling technique, combined with Tomek links to lessen the degree of data imbalance. Additionally, Lagrange element optimization was applied to select those features of the most informative nature. The final triage level is predicted using the Tabular Prior-Data Fitted Network, a transformer-based model tailored for tabular data classification. This combination achieved an overall accuracy of 87.27%. The proposed system demonstrates the potential of integrating digital twins and AI to improve decision support in emergency healthcare environments.","url":"https://doi.org/10.3390/iot6040073","authors":["Haider Q. Mutashar","Hiba A. Abu-Alsaad","Sawsan M. Mahmoud"],"tags":["Triage","Computer science","Cloud computing","Classifier (UML)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-26","doi":"https://doi.org/10.3390/iot6040073","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7110901057","name":"Features of assessment and prediction of the condition of ship heat exchangers in the operation system based on digital twin technology","source":"openalex","abstract":"One of the main directions for improving marine power plants is to increase their efficiency in the processes of heat energy conversion within individual system components. These processes are governed by the laws of thermodynamics, fluid dynamics, and heat and mass transfer, and they determine the efficiency coefficient of the installation, the amount of heat and harmful emissions, service life, as well as the compactness and overall performance of the systems. Heat exchangers, as essential components of power plants, play a crucial role in shaping these indicators. The need for improvement of ship power plant equipment and heat exchangers has been substantiated, which defines the practical demand for the development, enhancement, and implementation of scientific and technical solutions aimed at intensifying heat transfer processes under ship operating conditions. The features of assessment and prediction of the state of marine heat exchangers in operation are justified and systematically considered, based on the digital twin technology of cargo vessels and ship power plants. A model and an information-based complex system have been developed for addressing the research tasks. This allows further investigation through an aggregated model representing the digital twin of an intelligent management system for the operation of cargo vessels and ship power plants. The theoretical and experimental justification for the studied application has been provided, focusing on practical methods for forming a digital twin to represent the performance of ship heat exchange equipment under real operating conditions. An example of applying this method to an actual ship heat exchanger is presented","url":"https://doi.org/10.31498/2225-6733.51.2025.344965","authors":["I.V. Gritsuk","I.V. Khudyakov","D.S. Pogorletskyi","V.V. Chernenko","A.I. Kotov","V.K. Zadorozhnii"],"tags":["Heat exchanger","Engineering","Marine engineering","Power (physics)","Heat transfer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-30","doi":"https://doi.org/10.31498/2225-6733.51.2025.344965","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4393984074","name":"Public sector digitalization, corruption, and sustainability in the developing world: A scoping review","source":"openalex","abstract":"Abstract E‐government presents one of the utmost opportunities and challenges for development and offers solutions to tackle corruption. Corruption generates even erratic impacts in developing and transition economies. Developing and transition economies can dramatically benefit from related technological innovation uptake that would spur public sector transparency and sustainability. The intersections of these areas have not received full academic consideration and appear to be under‐explored. In addition to a review of the existing literature on these topics, this study applies extensive reliance on existing metrics and indexes, including those developed by the World Bank and Transparency International. By accentuating relevant and recent findings, the results of this study can be used for a better conceptualization of national or regional growth and development strategies based on the nexus between corruption and e‐government advances among developing and transition countries.","url":"https://doi.org/10.1002/sd.2900","authors":["Rob Kim Marjerison","Andrea Gatto"],"tags":["Sustainability","Language change","Public sector","Business","Developing country"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-04","doi":"https://doi.org/10.1002/sd.2900","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4405643754","name":"Artificial Intelligence-Driven Innovations in Laser Processing of Metallic Materials","source":"openalex","abstract":"This article explores the integration of artificial intelligence (AI) and advanced digital technologies into laser processing, highlighting their potential to enhance precision, efficiency, and process control. The study examines the application of digital twins and machine learning (ML) for optimizing laser machining, reducing defects, and improving the analysis of laser–material interactions. Emphasis is placed on AI’s role in additive manufacturing and microprocessing, particularly in real-time monitoring, defect prediction, and parameter optimization. Additionally, the article addresses emerging challenges, such as the adaptation of AI models to complex material behaviors and the integration of intelligent systems into existing manufacturing environments. The role of advanced optical technologies, such as free-form optics and diffractive optical elements, is discussed in relation to enhancing laser system adaptability and performance. The article concludes with a discussion on future trends, emphasizing the need for interdisciplinary collaboration to overcome technical and economic complexities while leveraging AI to meet the growing demand for precision and customization in industrial manufacturing.","url":"https://doi.org/10.3390/met14121458","authors":["Serguei P. Murzin"],"tags":["Materials science","Laser","Materials processing","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-20","doi":"https://doi.org/10.3390/met14121458","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7154510119","name":"Autonomous Supply Chains: Integrating Artificial Intelligence, Digital Twins, and Predictive Analytics for Intelligent Decision Systems","source":"openalex","abstract":"Autonomous supply chains (ASC) are the next generation of digitally empowered logistics and operations systems that can make adaptive, data-driven, and intelligent decisions. Innovations in artificial intelligence (AI), digital twins (DT), and predictive analytics (PA) are transforming traditional supply chains into integrated and interactive networks to detect disruptions, simulate the future, and automatically modify operational decisions. This paper reviews the ASC mechanism and summarizes the increasing literature on the technologies and analytical capabilities available to support intelligent supply chain decision systems. A structured literature review was conducted using Scopus, Web of Science, and Google Scholar, resulting in 52 relevant studies after screening and eligibility assessment. The paper discusses the recent advances in AI-based forecasting, simulation environments using digital twins, data integration using the Internet of Things (IoT), and predictive analytics. These technologies can help an organization gain real-time visibility of the supply chain networks. They improve the precision of demand forecasting, optimize inventory and production planning, and dynamically coordinate logistics operations. Digital twins allow the development of virtual models of supply chain ecosystems, which could be used to test scenarios, analyze risks, and plan strategies. These capabilities combined can be used to create predictive and self-adaptive supply networks capable of being responsive to uncertainty and market volatility. Besides examining the technological foundations, the paper also tracks key challenges related to the move towards autonomous supply chains, such as data governance, system interoperability, cybersecurity risks, algorithm transparency, and the necessity of successful human-AI collaboration in decision-making. The synthesis leads to a multi-layered framework that integrates data acquisition, analytics, simulation, and execution for autonomous decision-making in supply chains. Future research directions in relation to resilient supply networks, intelligent automation, and adaptive supply chain ecosystems are also provided in the study. Through integrating existing information on the new forms of intelligent technology and how it can be incorporated into the supply chain systems, this review contributes to the literature on next-generation supply chains. It will also offer information to both researchers and practitioners aiming at designing autonomous as well as data-driven supply networks.","url":"https://doi.org/10.3390/info17040371","authors":["Mohammad Shamsuddoha","Honey Zimmerman","Tasnuba Nasir","Md Najmus Sakib"],"tags":["Supply chain","Computer science","Predictive analytics","Key (lock)","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-15","doi":"https://doi.org/10.3390/info17040371","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7107944201","name":"Value creation in parcel delivery: A systematic literature review and research agenda","source":"openalex","abstract":"The rapid growth of e-commerce and urbanization has resulted in a significant increase in the demand for parcel delivery services. Consequently, firms must satisfy stakeholder demands while simultaneously maintaining operational efficiency and sustainability. This study examines value creation within the parcel delivery process by systematically reviewing 138 peer reviewed articles published between 2015 and August 2025 using PRISMA framework. The analysis identifies six core value criteria (economies of scale, learning economies, innovation capabilities, management capabilities, social and environmental aspects) and maps them across the stages of parcel delivery process. Findings highlight significant knowledge gaps in areas such as cargo security, customer decision-making, delivery personnel well-being, and environmental concerns. It calls for sustainable, innovative, and eco-friendly solutions, emphasizing emerging technologies including artificial intelligence, machine learning, digital twin, and the Internet of Things. By integrating these criteria into a structured framework, the study offers actionable insights for designing parcel delivery strategies that are operationally efficient, environmentally responsible, and socially beneficial.","url":"https://doi.org/10.1016/j.sftr.2025.101557","authors":["Wafa AlMazrouei","Emrah Demir"],"tags":["Systematic review","Business","Process (computing)","Knowledge management","Value (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.1016/j.sftr.2025.101557","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7124763352","name":"Continued use of virtual commissioning models: A novel approach toward digital twins for automated production systems","source":"openalex","abstract":"Abstract Virtual Commissioning (VC) is an increasingly integral practice in the engineering of production systems, evidenced by growing research and industrial adoption. Advancements in VC model fidelity, computational performance, and automated generation are improving the validation of complex production systems and point toward further applicability beyond conventional control software validation. In industrial practice, however, VC models are still confined to their original use. While emerging applications for VC models in the operational phase highlight the potential for model reuse, a structured method for transforming these valuable engineering assets into Digital Twins (DTs) is still absent. This paper addresses this gap through three main contributions: first, by clarifying the VC/DT boundary within production contexts and identifying open research questions; second, by introducing a novel six-phase transformation method; and third, by identifying industrially-derived use cases and their specific requirements. The proposed method adopts the Design Science Research (DSR) methodology to systematically structure the problem space, derive actionable objectives, and design the iterative development process. Initial results include a set of industrial use cases with their corresponding requirements, as well as the exemplary execution of one development cycle. Finally supplemented by a qualitative cost-benefit analysis, this work offers practical guidance for realizing VC-based DTs that support operational tasks in production environments.","url":"https://doi.org/10.1007/s00170-025-17195-y","authors":["Felix Ferle","Shengjian Chen","Alexander M. Kuhn","Lars Klingel","Christer-Clifford Schenke","William Tekouo","Alexander Verl","Steffen Ihlenfeldt"],"tags":["Production (economics)","Systems engineering","Project commissioning","Computer science","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-19","doi":"https://doi.org/10.1007/s00170-025-17195-y","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7126074415","name":"From Sustainability Narratives to Digital Infrastructures: Mapping the Transformation of Smart Agri-Food Systems","source":"openalex","abstract":"The convergence of digital innovation and sustainability imperatives is transforming the architecture of agri-food systems, signaling not just a technological upgrade, but a reorganization of how food production, distribution, and governance are approached. This study presents a comprehensive bibliometric mapping of global research on sustainable and digital agri-food systems between 2004 and 2025, based on data from the Web of Science Core Collection and analyzed using the Bibliometrix within RStudio (Version: 2024.12.1+563). Through co-word analysis, bibliographic coupling, and temporal trend exploration, the study identified a marked surge in scholarly activity after 2020, driven by the alignment of digital innovation with major policy frameworks such as the European Green Deal and the Farm-to-Fork Strategy. Findings highlight Europe-particularly Italy, the Netherlands, and France-as the leading knowledge hub, demonstrating both institutional capacity and policy responsiveness. Thematic clusters revealed four dominant trajectories in recent research: digital governance, blockchain and traceability, circular economy integration, and ESG-based performance frameworks. These directions suggest a transition from narrow efficiency-centered approaches to more comprehensive, ethically informed, and technologically integrated agri-food systems. The study frames digitalization as both a technical infrastructure and a socio-organizational driver that reshapes transparency, accountability, and coordination within food value chains. It also outlines strategic entry points for improving interoperability, bridging digital divides, and advancing collaborative governance models across the agri-food sector. In addition to its empirical findings, the article contributes methodologically by positioning bibliometric analysis as a valuable tool for tracking major conceptual and structural shifts within food system research. In conclusion, digital transformation in agri-food systems is not merely about technological enhancement-it is a fundamental restructuring of processes, relationships, and governance mechanisms that define how food systems operate in an era of innovation, complexity, and sustainability challenges.","url":"https://doi.org/10.3390/foods15030469","authors":["Alina Georgiana Manta"],"tags":["Sustainability","Digital transformation","Corporate governance","Knowledge management","Conceptual framework"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-29","doi":"https://doi.org/10.3390/foods15030469","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4392558046","name":"Green and Digital Transitions","source":"openalex","abstract":"Peer-reviewed volume of selected papers from the Decades of Crises: from competitiveness to resilience - via the bumpy road of sustainability, The 5th Conference in cooperation with the European Association for Comparative Economic Studies, 14-15 April 2023, Szeged, Hungary.","url":"https://doi.org/10.14232/gtk.gdtgiss.2024","authors":["Wycliffe Obwori Alwago","Szabolcs Prónay","Regina Reicher","Chen Rurong","Ágnes Siklósi","Veronika Siklósi","Krisztina A. Sisa","Daniel Simon","Zsuzsanna Széles","Brigitta Tóth-Bozó","Tamás Ujházi","Attila Veress","Tibor Pintér","Ágnes Maksimovic","Soma Balla","Éva Szabina Bundság","Ervin Denich","Byambasuren Dorjnyambuu","Sándor Huszár","Muhammad Abdul Khalique","Mahammad Kheyirkhabarli","Chintana Khouangvichit","Miklós Lukovics","Balázs Mahler","Zoltán Majó-Petri","Marianna Sávai"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.14232/gtk.gdtgiss.2024","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4401709610","name":"Exploring the convergence of Metaverse, Blockchain, and AI : A comprehensive survey of enabling technologies, applications, challenges, and future directions","source":"openalex","abstract":"Abstract The Metaverse, distinguished by its capacity to integrate the physical and digital realms seamlessly, presents a dynamic virtual environment offering diverse opportunities for engagement across innovation, entertainment, socialization, and commercial endeavors. However, the Metaverse is poised for a transformative evolution through the convergence of contemporary technological advancements, including artificial intelligence (AI), Blockchain, Robotics, augmented reality, virtual reality, and mixed reality. This convergence is anticipated to revolutionize the global digital landscape, introducing novel social, economic, and operational paradigms for organizations and communities. To comprehensively elucidate the future potential of this technological fusion and its implications for digital innovation, this research endeavors to undertake a thorough analysis of scholarly discourse and research pertaining to the Metaverse, AI, Blockchain, and associated technologies. This survey delves into various critical facets of the Metaverse ecosystem, encompassing component analysis, exploration of digital currencies, assessment of AI utilization in virtual environments, and examination of Blockchain's role in enhancing digital content and data security. Leveraging articles retrieved from esteemed digital repositories including ScienceDirect, IEEE Xplore, Springer Nature, Google Scholar, and ACM, published between 2017 and 2023, this study adopts an analytical approach to engage with these materials. Through rigorous examination and discourse, this research aims to provide insights into the emerging trends, challenges, and future directions in the convergence of the Metaverse, Blockchain, and AI. This article is categorized under: Application Areas > Industry Specific Applications","url":"https://doi.org/10.1002/widm.1556","authors":["Mueen Uddin","Muath Obaidat","Selvakumar Manickam","Shams Ul Arfeen Laghari","Abdulhalim Dandoush","Hidayat Ullah","Syed Sajid Ullah"],"tags":["Computer science","Blockchain","Metaverse","Convergence (economics)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-19","doi":"https://doi.org/10.1002/widm.1556","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4413348638","name":"Cohort Profile Update: The Norwegian Mother, Father and Child Cohort (MoBa)","source":"openalex","abstract":"The Norwegian Mother, Father and Child Cohort Study (MoBa) is a large population-based cohort and biobank for research on health and development. MoBa includes data on 94 834 mothers, 75 229 fathers, and 113 632 children (currently aged 15–25 years) recruited during pregnancy between 1999 and 2008, with continuing follow-up from a life-course perspective. Up to 25 years of follow-up with linkages to national registries provides unique research opportunities. Recent data collections among children aged 13–25 years and parents aged 32–86 years include questionnaires on health, lifestyle, fertility, COVID-19, cognitive tests, and clinical measurements. Genotyped data are available for 225 667 MoBa participants, including ∼30 000 full mother–father–child trios. The biodata resource also offers large-scale datasets (n > 10 000) on the epigenome and metabolome and smaller datasets (n = 100–10 000) on biomarkers from blood, plasma, urine, and serum. MoBa data access is given through helsedata.no; see https://www.fhi.no/en/ch/studies/moba/for-forskere-artikler/research-and-data-access/. New collaborations are welcome. The Norwegian Mother, Father and Child Cohort Study (MoBa), initially named the Norwegian Mother and Child Study, was launched in the 1990s by epidemiologists at the Norwegian Institute of Public Health, studying pregnancy outcomes from the Medical Birth Registry of Norway [1]. The primary aim was to identify causes of diseases by collecting comprehensive exposure and outcome data from fetal life onwards [2]. Recruitment began in 1999 with a postal invitation and the first questionnaire was sent prior to the routine ultrasound examination in the 17th week of pregnancy. Biological material was collected during the ultrasound appointment. In 2008, the goal of recruiting 100 000 pregnancies was achieved and recruitment concluded, with the last MoBa baby born in July 2009. Previous MoBa cohort profiles have described the initial sampling and waves of data collection up to 2016 [2, 3]. Since 2016, data-collection efforts in MoBa have been initiated to update and enrich existing datasets, providing crucial information on further development and health outcomes, particularly in the offspring generation. Adolescence and early adulthood are life stages characterized by significant social, physical, and emotional changes that can impact lifelong health and wellbeing. The new data collections among MoBa teens (aged 16–17 years) and young adults (aged 18–25 years) encompass a wide range of topics, including physical and mental health, pubertal development, health behaviors, pain, career and family plans, living situations, and social media use. Through a collaboration with the Norwegian University of Science and Technology, MoBa has, for the first time, included a web-based neuropsychological test battery as part of the new data collection to provide reliable measures of cognitive function [4, 5]. The fertility rate has decreased substantially, both in Norway and globally, over the past few decades [6], making the causes and consequences of childlessness important fields of research. Data on reproductive health indicators in young adulthood are being collected through questionnaires and clinical examinations to gain insights into the status of reproductive health in young adults today and into factors influencing fertility, such as hormonal status, environmental exposures, and lifestyle factors. When the COVID-19 pandemic hit in early 2020, billions of people were affected by the infection and by national and regional strategies to prevent its spread. A biweekly data collection in MoBa was initiated in March 2020 and invitations were sent to all mothers and fathers as well as to 16- to 17-year-olds, to monitor symptoms and to study potential impacts of the pandemic. Additional blood samples were collected in 2020, 2021, and 2023. Important research questions included the effects of vaccination and COVID-19 infection on short- and lo","url":"https://doi.org/10.1093/ije/dyaf139","authors":["Ragnhild Eek Brandlistuen","Dana Kristjansson","Elin R. Alsaker","Ragnhild Valen","Even Birkeland","Ellen C. Røyrvik","Christian M. Page","Maria Aamelfot","Sille Vangbæk","Helga Ask","Alexandra Havdahl","Anne Lise Brantsæter","Guri Rørtveit","Siri E. Håberg","Per Magnus"],"tags":["Norwegian","Cohort","Medicine","Cohort study","Demography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-18","doi":"https://doi.org/10.1093/ije/dyaf139","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7131669136","name":"Part I: Industrial Information Integration Review 2020–2025","source":"openalex","abstract":"Industrial Information Integration Engineering (IIIE) has become increasingly essential for improving operational efficiency and harmonizing heterogeneous industrial systems through advanced digital integration approaches. Fueled by rapid advancements in Industry 4.0 technologies—including digital twins, artificial intelligence, immersive interfaces, and IoT infrastructures—IIIE is substantially transforming traditional enterprise architecture and integration frameworks. This systematic review synthesizes recent developments and emerging trends, with particular attention to the accelerating adoption of digital twins and the deepening convergence between operational technologies (OT) and information technologies (IT) across multiple sectors. While notable progress has been made, significant challenges persist, especially in developing resilient integration architectures and fully capitalizing on emerging capabilities such as quantum computing and next-generation communication networks. Future research directions emphasize the need to advance semantic interoperability, promote human-centric integration paradigms, and strengthen secure, decentralized information infrastructures. Collectively, these directions highlight IIIE’s pivotal role in enabling intelligent, interconnected, and sustainable industrial ecosystems.","url":"https://doi.org/10.53941/jetia.2026.100001","authors":["Jinzhi Li"],"tags":["Information integration","Computer science","Information technology","System integration","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-06","doi":"https://doi.org/10.53941/jetia.2026.100001","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7164910563","name":"Approaching the Twin Transition in the Tire Industry","source":"openalex","abstract":"Considering its resource-intensive production, complex global supply chains and substantial environmental impact, the tire industry provides a critical context for twin transition research. Using an in-depth qualitative research design, this study explores how sustainability and digitalization are jointly embedded within the strategic and operational practices of a premium tire manufacturer. The study reveals an integrated life-cycle approach that combines circular material innovation, energy transition, supplier governance, and artificial intelligence-enabled digitalization. The study illustrates the firm’s engagement in the twin transition, marked by systemic tradeoffs between environmental performance, cost efficiency and market competitiveness. Both managerial- and literature-related implications are discussed.","url":"https://doi.org/10.1080/15332969.2026.2688330","authors":["Raluca Mariana Grosu","Ștefan Sava","Cristian Constantin Francu","Vera Amicarelli"],"tags":["Sustainability","Industrial organization","Supply chain","Context (archaeology)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-16","doi":"https://doi.org/10.1080/15332969.2026.2688330","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4403475669","name":"Enterprise digital management: research review, current status and prospects","source":"openalex","abstract":"Abstract With the advent of the digital economy era, digital management has become a hot topic of concern in both the industry and academia. Focusing on digital management in enterprises, this article consists of 750 CSSCI source journals indexed in the CNKI database from 2000 to 2022, 1303 articles in the literature and Web of Science core database were used as research objects, using CiteSpace and VOSviewer Perform bibliometric analysis using visual tools. Firstly, conduct data statistics on the overall collection and apply the author literature coupling method. Analyze representative literature. Secondly, by means of thematic temporal evolution and keyword emergence, we will sort out the development of domestic and foreign research. Expand the context. Next, we use keyword clustering method to explore recent hot topics in domestic and international research. Based on citation analysis and word cluster analysis, with the comprehensive results of \"basic elements—management process—management effectiveness\", a digital management theory for enterprises has been constructed on the IPO Panoramic Research Framework Model. Finally, future research directions are proposed. Firstly, the issue of digital technology abuse must be addressed through standardized management protocols. Secondly, the mechanisms by which digital technology impacts organizational performance warrant thorough investigation. Thirdly, the paradigm of collaboratively applying multiple digital technologies should be explored. Lastly, the design of an innovative digital ecosystem strategy based on a platform approach needs to be developed.","url":"https://doi.org/10.1007/s44176-024-00032-z","authors":["Xiao Han","Yixuan Hu","Wang Li","Rui Zhou"],"tags":["Current (fluid)","Business","Engineering management","Knowledge management","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-16","doi":"https://doi.org/10.1007/s44176-024-00032-z","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4408477851","name":"Going digital to boost safe and sustainable materials innovation markets. The digital safe-and-sustainability-by-design innovation approach of the PINK project","source":"openalex","abstract":"Hub, as the user Interface to the platform, finally guides the user through the complete AdMas&Chems development process from idea creation to market introduction. Guided by two Developmental Case Studies, the process of building of the PINK Platform is iterative, ensuring industry readiness to implement and apply it. Additionally, the Industrial Demonstrator programme will be introduced as part of the final project phase, which allows industry partners and especially small and medium enterprises (SMEs) to become part of the PINK consortium. Feedback from the Demonstrators as well as other stakeholder-engagement activities and collaborations will shape the platform's final look and feel and, even more important, activities to assure long-term technical sustainability.","url":"https://doi.org/10.1016/j.csbj.2025.03.019","authors":["Thomas E. Exner","Joh Dokler","Steffi Friedrichs","Christian Seitz","Francesca L. Bleken","Jesper Friis","Thomas F. Hagelien","Francesco Mercuri","Anna Luisa Costa","Irini Furxhi","Haralambos Sarimveis","Antreas Afantitis","Antonino Marvuglia","Gustavo Larrea‐Gallegos","Tommaso Serchi","Angela Serra","Dario Greco","Penny Nymark","Martin Himly","Karin Wiench","Nico Watzek","Eva-Kathrin Schillinger","Jérôme Gavillet","Iseult Lynch","Andreas Karwath","Alexe L Haywood","Georgios V. Gkoutos","Roland Hischier"],"tags":["Sustainability","Business","Environmental economics","Engineering management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.csbj.2025.03.019","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4317426352","name":"To Align Technological Advancement and Ethical Conduct: An Analysis of the Relationship between Digital Technologies and Sustainable Decision-Making Processes","source":"openalex","abstract":"Digitalization and sustainability is widely investigated; however, only few studies have analyzed the role of sustainable decision-making processes in the business strategy field for achieving sustainable development goals: The study proposes a structured literature review (SLR), analyzing 318 documents published in the period 2019–2023. The results of the SLR bring to light that the publications on the topic mainly regard seven research areas. Green supply chains, logistics and digital management is the principal one, followed by sustainable goals, green indicators, and digital advancement. Furthermore, the analysis marks future research lines: although this document offers an overview of the main studies in literature, the major limitation is the use of only one database and a time span of 5 years. This study could contribute to generate further research on sustainable decision-making processes, promoting a different organizational approach to value creation and sustainable performance.","url":"https://doi.org/10.3390/su15031911","authors":["Teresa Riso","Carla Morrone"],"tags":["Sustainability","Sustainable development","Sustainable Value","Business","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-19","doi":"https://doi.org/10.3390/su15031911","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2911810074","name":"A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry","source":"openalex","abstract":"In the last century, the automotive industry has arguably transformed society, being one of the most complex, sophisticated, and technologically advanced industries, with innovations ranging from the hybrid, electric, and self-driving smart cars to the development of IoT-connected cars. Due to its complexity, it requires the involvement of many Industry 4.0 technologies, like robotics, advanced manufacturing systems, cyber-physical systems, or augmented reality. One of the latest technologies that can benefit the automotive industry is blockchain, which can enhance its data security, privacy, anonymity, traceability, accountability, integrity, robustness, transparency, trustworthiness, and authentication, as well as provide long-term sustainability and a higher operational efficiency to the whole industry. This review analyzes the great potential of applying blockchain technologies to the automotive industry emphasizing its cybersecurity features. Thus, the applicability of blockchain is evaluated after examining the state-of-the-art and devising the main stakeholders' current challenges. Furthermore, the article describes the most relevant use cases, since the broad adoption of blockchain unlocks a wide area of short- and medium-term promising automotive applications that can create new business models and even disrupt the car-sharing economy as we know it. Finally, after strengths, weaknesses, opportunities, and threats analysis, some recommendations are enumerated with the aim of guiding researchers and companies in future cyber-resilient automotive industry developments.","url":"https://doi.org/10.1109/access.2019.2895302","authors":["Paula Fraga‐Lamas","Tiago M. Fernández‐Caramés"],"tags":["Blockchain","Automotive industry","Computer security","Computer science","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1109/access.2019.2895302","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4411153268","name":"Democratizing Digital Transformation: A Multisector Study of Low-Code Adoption Patterns, Limitations, and Emerging Paradigms","source":"openalex","abstract":"Low-code development platforms (LCDPs) have emerged as transformative tools for accelerating digital transformation across industries by enabling rapid application development with minimal hand-coding. This paper synthesizes existing research and industry practices to explore the adoption, benefits, challenges, and future directions of low-code technologies in key sectors: automotive, equipment manufacturing, aerospace, electronics, and energy. Drawing on academic literature, industry reports, and case studies, this review highlights how low-code bridges the gap between IT and domain experts while addressing sector-specific demands. The study emphasizes the significant impact of LCDPs on operational efficiency, innovation acceleration, and the democratization of software development. However, it also identifies critical challenges related to customization, interoperability, security, and usability. The paper concludes with a discussion of emerging trends, including enhanced AI/ML integration, edge computing, open-source ecosystems, and sector-specific platform evolution, which are poised to shape the future of low-code development. Ultimately, this research underscores the potential of low-code platforms to drive sustainable digital transformation while addressing the complex needs of modern industries.","url":"https://doi.org/10.3390/app15126481","authors":["Zhengwu Shi","Junyu Dong","Yanhai Gan"],"tags":["Transformation (genetics)","Computer science","Biology","Biochemistry","Gene"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-09","doi":"https://doi.org/10.3390/app15126481","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4406243661","name":"Towards a Digital Transformation Hyper-Framework: The Essential Design Principles and Components of the Initial Prototype","source":"openalex","abstract":"To cope with the complexity, the digital transformation of cyber-physical and socio-technology systems demands the utilization of heterogeneous tailorable development environments with dynamic configuring ability and transparent integration of independently developed dedicated frameworks. The essential design principles and component-based architecting of the initial prototype of the digital transformation hyper-framework represent this research target. These principles are derived from the broad scope analysis of digital transformation projects, methods, and tools and are glued to the proposed virtual twin hyper-document. The critical analysis of the digital transformation domain influenced the formulation of five research hypotheses that frame digital transformation of digital transformation, as the second goal of this research article. Armed with a meta-modeling layer, the incremental development of hybrid architecture instances focuses on meta-models and their transformations into functional, interpretable environments. The applicability aspects of the formulated hypothesis are verified throughout the architecture, meta-configuration, and handling of information resources as the essential segments of the initial version of the proposed evolution prototype. The detailed illustration of the horizontal and vertical interoperability of the proposed framework is illustrated by the Life Cycle Modeling component framework that creatively integrates the System, Software, and Operation Engineering aspects of the proposed hyper-framework. The proposed prototype capabilities are discussed in the context of the contemporary digital transformation ecosystem. Specification and development of the additional component frameworks, in compliance with specified generative mechanisms, directing further refinements of the proposed hyper-framework.","url":"https://doi.org/10.3390/app15020611","authors":["Ana Perišić","Branko Perišić"],"tags":["Transformation (genetics)","Computer science","Systems engineering","Engineering","Chemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.3390/app15020611","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7154105568","name":"Fed-DT-EdgeGNN: Privacy-Preserving Federated Digital Twin Edge Intelligence for Secure VANET Communication","source":"openalex","abstract":"Vehicular Ad Hoc Networks (VANETs) are an essential part of Intelligent Transportation Systems as they provide real-time interaction between vehicles and roadside infrastructure but face significant problems like privacy leakage, sluggishness, and dynamic network structure. Current solutions are mostly centralized, and thus, there is a high probability of sensitive data being exposed, or reactive, and therefore, do not have the ability to make proactive and predictive decisions. In the quest to address these shortcomings, the present paper proposes a new framework, referred to as Federated Digital Twin Edge Intelligence with Graph Neural Networks (Fed-DT-EdgeGNN), a combination of Digital Twin-based simulation to model realistic traffic and attack scenarios, spatio-temporal Graph Neural Networks to model intricate vehicular interactions, and Federated Learning between K = 10 RSUs to allow In order to have a strong privacy protection, Differential Privacy-based Stochastic Gradient Descent (DP-SGD) is used with the following parameters: ε = 1.0, δ = 10 -5, clipping norm C = 1.0, and noise multiplier σ = 0.5, and there will be no sensitive information leakage during model updates. The framework is tested with T = 50 rounds of communication and 5 local training steps with a learning rate of 2 x 10 -5 and attains an accuracy of 95.2%, precision of 94.6%, recall of 95.8%, and F1-score of 95.1%, and has good performance when the traffic is non-IID. The given solution provides the scalable, secure, and predictive solution of future generation vehicular communication systems, which allows to manage the traffic effectively and trust the smart transportation environment.","url":"https://doi.org/10.47760/ijcsmc.2026.v15i04.003","authors":["M. Thenmozhi","G.M. Kadhar Nawaz"],"tags":["Computer science","Vehicular ad hoc network","Intelligent transportation system","Artificial neural network","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-13","doi":"https://doi.org/10.47760/ijcsmc.2026.v15i04.003","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4403689477","name":"The Coupling Coordination Relationship and Driving Factors of the Digital Economy and High-Quality Development of Rural Tourism: Insights from Chinese Experience Data","source":"openalex","abstract":"Globally, rural tourism development faces challenges such as inadequate infrastructure, insufficient marketing resources, and unreliable service quality, all of which limit its potential. However, digital technology offers unprecedented opportunities to address these barriers. China’s experience in integrating digital technology into rural tourism provides a valuable case study for understanding the digitalization of rural tourism. This study constructs an index system to assess the coupling coordination relationship between the digital economy and the high-quality development of rural tourism (HQDRT). By employing methods such as the entropy method, coupling coordination degree model, obstacle factor model, and geographic detector, the study examines the evolution of this coupling coordination relationship and its driving mechanisms across 31 provinces (including regions and municipalities) in China from 2012 to 2021. The findings reveal that (1) The development of the digital economy generally lags behind that of the rural tourism, but the coupling coordination relationship between the two is steadily improving. (2) The level of coupling coordination increases from west to east, with spatial distribution patterns evolving from ‘antagonism’ to ‘adaptation’ and then to ‘coordination’ as they move eastward. Most provinces belong to the ‘adaptation’ type. (3) From a nationwide perspective, the primary obstacles impeding the development of the digital economy include an insufficient internet penetration rate, which consequently leads to underdeveloped internet finance development and telecommunications industry development. The major barriers to the HQDRT stem from an inadequate number of tourists and a lack of physical infrastructure. (4) Population density, consumer spending, and R&D are significant drivers of the coupling coordination relationship, with the interaction between urbanization rates and other factors generally weakening the degree of coupling.","url":"https://doi.org/10.3390/land13111734","authors":["Hanni Liu","Zhixiong Tan","Zancai Xia"],"tags":["Tourism","Quality (philosophy)","Business","Rural tourism","Coupling (piping)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-23","doi":"https://doi.org/10.3390/land13111734","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4403550817","name":"Addressing governance challenges of digitalisation and sustainability: The case of central bank digital currency","source":"openalex","abstract":"Abstract Digitalisation and environmental sustainability are widely discussed topics. However, their nexus remains underexplored and can pose significant challenges for governments and industries alike. The environmental implications of digitalisation are becoming increasingly pertinent with the advent of central bank digital currencies (CBDCs) and their inherent energy consumption and production of e‐waste. On the other hand, digitalisation could potentially support sustainability efforts. This begs the question of how systems of governance, such as regulatory frameworks and internal organisational governance, should harmonise digitalisation and sustainability goals. Such harmonisation entails ensuring that digitalisation processes are environmentally responsible while exploring how the application and features of digitalisation can help achieve environmental goals. By drawing insights from the case study of CBDCs, this article will utilise the paradigm of adaptive governance to seek potential solutions to the environmental implications of digitalisation.","url":"https://doi.org/10.1111/reel.12571","authors":["Heng Wang"],"tags":["Nexus (standard)","Sustainability","Corporate governance","Business","Environmental governance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-18","doi":"https://doi.org/10.1111/reel.12571","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409381785","name":"Digital Transformation in Healthcare Management: From Artificial Intelligence to Blockchain","source":"openalex","abstract":"The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes, and data security. With the increasing complexity of healthcare systems, the integration of cutting-edge technologies such as Artificial Intelligence. The COVID-19 pandemic significantly accelerated digital transformation, compelling healthcare institutions to adopt telemedicine, AI-assisted diagnostics, and cloud-based medical records to meet growing patient demands and resource constraints. The rapid digital transformation of healthcare is driven by advancements in Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and Big Data. This review article aims to analyze the objectives and implications of digital transformation in medical institutions, focusing on the integration of AI, blockchain, and IoT in hospital management. The methodological approach for this review article focuses on synthesizing existing literature to examine the role of Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and Big Data in the digital transformation of healthcare management. The integration of Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), and Big Data has demonstrated significant improvements in healthcare management, enhancing efficiency, patient outcomes, and data security.","url":"https://doi.org/10.36740/wlek/202445","authors":["Marcin Krotkiewicz","Agata Szynkaruk","Alina Stachyra"],"tags":["Blockchain","Transformation (genetics)","Health care","Digital transformation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-29","doi":"https://doi.org/10.36740/wlek/202445","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7133948753","name":"A digital twin framework for predicting and simulating type 2 diabetes onset using retrospective lifestyle data","source":"openalex","abstract":"Introduction: Type 2 Diabetes Mellitus (T2DM) is a rising global health concern, heavily influenced by modifiable lifestyle and psychosocial factors. However, most predictive tools focus on biomedical markers and rely on real-time data from wearables or electronic health records, limiting their scalability in resource-constrained settings. This study presents a novel digital twin (DT) framework that uses retrospective lifestyle, behavioral, and psychosocial data to forecast T2DM onset and simulate the estimated effects of preventive interventions. Methods: Data were drawn from 19,774 participants in the UK Biobank cohort, followed for up to 17 years. A penalized Cox proportional hazards model was employed to estimate individual time-to-event risk trajectories based on 90 candidate predictors. Predictors were selected through univariate screening, multicollinearity assessment, and variance filtering, yielding a final model with 14 significant variables. Causal inference techniques, including directed acyclic graphs (DAGs) and counterfactual simulations, were used to explore intervention effects on disease progression. Results: 0.004). Psychosocial stressors such as loneliness, insomnia, and poor mental health emerged as strong independent predictors and were associated with estimated increases in absolute T2DM risk of approximately 35 percentage points individually and nearly 78 percentage points when combined, under the modeled assumptions. These effects were partly reinforced through diet, with high intake of processed meat, salt, and sugary cereals acting as risk amplifiers within the modeled causal pathways. Cheese intake was protective overall, but its estimated benefit was attenuated under psychosocial stress, where reduced consumption produced a small, directionally harmful mediation effect. Counterfactual simulations suggested that improvements in psychosocial conditions could reduce estimated T2DM risk by approximately 11.6 percentage points within the modeled cohort, with protective dietary patterns such as cheese consumption re-emerging as psychosocial stress was alleviated. The model also revealed pronounced ethnic disparities, with South Asian, African, and Caribbean participants exhibiting significantly higher estimated risk than White counterparts within this cohort. These findings highlight the potential of integrated, stress-informed prevention strategies that address both psychosocial and dietary pathways. Conclusion: This study introduces a transparent, simulation-enabled DT framework for estimating T2DM risk and exploring behavioral intervention scenarios without reliance on real-time data streams. It enables interpretable, personalized prevention planning and supports exploration of scalable deployment in public health, particularly in underserved or low-infrastructure environments. The integration of psychosocial and lifestyle data represents an important step toward more equitable and behaviorally informed digital health solutions.","url":"https://doi.org/10.3389/fdgth.2026.1710829","authors":["Mahreen Kiran","Ying Xie","Graham Ball","Rudolph Schutte","Nasreen Anjum","Barbara Pierścionek"],"tags":["Psychosocial","Medicine","Proportional hazards model","Type 2 diabetes","Type 2 Diabetes Mellitus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-05","doi":"https://doi.org/10.3389/fdgth.2026.1710829","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7135169554","name":"Design of a Virtual LiDAR System Simulation Training Platform for Port Automation Equipment Based on Digital Twin","source":"openalex","abstract":"As the core sensing method for port automation equipment, LiDAR is widely used in spatial distance measurement, three-dimensional positioning, and environmental perception. However, its ranging mechanism, parameter configuration, and role in complex port operations are relatively abstract, making traditional training difficult to achieve intuitive understanding and efficient application. To address this issue, this paper proposes a virtual LiDAR simulation training platform based on digital twin technology. The platform constructs a virtual environment highly consistent with real port operation processes, designs a virtual LiDAR module with adjustable horizontal/vertical field of view, resolution, channel count, and ranging distance, and achieves bidirectional synchronization of data and control signals between physical and twin spaces. Using a bulk cargo handling machine as the verification object, consistency comparison experiments were conducted on point cloud density, ranging accuracy, and geometric similarity. The results show that the virtual point clouds generated by the platform are highly consistent with real point clouds in key indicators, featuring low cost, high flexibility, and scalability, and can provide reliable support for operation training, algorithm testing, equipment deployment assessment, and operational safety analysis of port automation equipment.","url":"https://doi.org/10.1007/978-981-95-6911-3_46","authors":["Yujie Zhang","Xintai Man","Mengjie He","Chao Mi","Octavian Adrian Postolache","Yang Shen"],"tags":["Lidar","Ranging","Automation","Point cloud","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-981-95-6911-3_46","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4410359613","name":"Microalgae and circular economy: unlocking waste to resource pathways for sustainable development","source":"openalex","abstract":"The growing environmental crises demands an urgent transition from a linear to a circular economy. Microalgae are photosynthetic microorganisms that offer exceptional potential due to their rapid growth, high CO₂ fixation capacity, and ability to remove nutrients and pollutants from wastewater, producing both clean water and valuable biomass. Such characteristics have attracted interest in developing circular systems that transform wastes into resources such as biomaterials, biofertilisers, biofuels and bioactive compounds. However, various challenges hinder their industrial application, including technical, economic, environmental, commercial and political barriers. Technical limitations such as inefficient culture systems, low productivity and contamination risks, can be addressed by using genetic engineering tools to develop superior strains, and by developing bioreactors coupled with emerging technologies (AI, Digital Twin). Additionally, it was found that studies using wastewater for microalgae cultivation and a biorefinery approach to recover low and high value bioproducts were found to be energetically, environmentally and economically viable. Several projects and studies demonstrating microalgae-based circular economy models were highlighted. Finally, the implementation of clear regulations and guidelines for wastewater composition in microalgae systems is recommended to facilitate market acceptance and consumer trust in microalgae-derived products.","url":"https://doi.org/10.1080/19397038.2025.2501488","authors":["B. C. dos Santos","Filomena Freitas","A.J.F.N. Sobral","Telma Encarnação"],"tags":["Circular economy","Sustainable development","Business","Resource (disambiguation)","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-14","doi":"https://doi.org/10.1080/19397038.2025.2501488","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4411436694","name":"Active Fabric Origami Enabled by Digital Embroidery of Magnetic Yarns","source":"openalex","abstract":"Active fabrics can perform deformations such as contraction, expansion, and bending when exposed to external stimuli. Origami, the ancient art of paper folding, transforms a 2D sheet into a complex 3D structure. However, integrating origami-inspired designs into active fabrics presents significant challenges, including the large-scale production of stimuli-responsive yarns that can be processed using standard textile techniques to achieve intricate origami patterns with high precision and versatility. In this work, the large-scale fabrication of magnetic yarns featuring high magnetic susceptibility, mechanical strength, and flexibility is reported, which is enabled by processing magnetic polymer composites with a series of textile engineering processes. Utilizing digital embroidery, these magnetic yarns are programmed into origami patterns with predefined yarn alignments on flexible fabrics to create various active fabric origami structures that are mechanical durable and functional consistent. These structures can reversibly transform among shapes in response to specific magnetic fields, enabling a range of functionalities such as altering surface roughness, delivering linear actuation, mimicking flower blooming, and providing switchable thermal insulation. The novel active fabric origami provides promising smart platforms across areas as diverse as smart textiles, soft robotics, wearable devices, and fashion.","url":"https://doi.org/10.1002/adma.202503948","authors":["Haiqiong Li","Han Zhang","Xiang‐Jun Zha","Jun‐Hong Pu"],"tags":["Materials science","Nanotechnology","Composite material","Engineering physics","Polymer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-17","doi":"https://doi.org/10.1002/adma.202503948","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415281349","name":"Digital twin modeling of the 3ω method and its variants for thermal property measurement in thin-film structures","source":"openalex","abstract":"With the continuous advancement of power electronic devices toward higher power density and operating frequency, efficient thermal management has become increasingly critical. The thermal properties of semiconductor thin films are key to addressing self-heating issues in such devices. The electrical harmonic (3ω) method is widely used for measuring thin-film thermal properties, but its applications to in situ measurements and anisotropic systems often require complex electrode designs, limiting its versatility. This work presents a digital twin model of the 3ω method and its variants based on electro-thermal coupled finite element simulations and inverse heat conduction analysis, and a virtual lock-in amplifier is uniquely combined to simulate phase sensitive detection and low-pass filtering. The model enables full-process simulation of classical 3ω measurements, in situ evaluation of thermal conductivity and thermal boundary resistance using a three-electrode 3ω–2ω configuration, and anisotropic thermal conductivity measurement of bulk materials through multi-electrode layouts. The digital twin also supports sensitivity analysis, uncertainty quantification, and pre-experimental optimization. Furthermore, an in situ measurement strategy for evaluating anisotropic thermal conductivity in thin films on substrates is proposed based on the simulation framework. This work provides a comprehensive virtual platform to support the design, analysis, and optimization of 3ω-based thermal characterization techniques.","url":"https://doi.org/10.1063/5.0294509","authors":["Jason Wu","Dao-Sheng Tang"],"tags":["Thermal conductivity","Materials science","Thermal conduction","Thermal resistance","Thermal conductivity measurement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-17","doi":"https://doi.org/10.1063/5.0294509","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4409919505","name":"Designing Innovative Digital Solutions in the Cultural Heritage and Tourism Industry: Best Practices for an Immersive User Experience","source":"openalex","abstract":"Digital transformation is reshaping business strategies and driving innovation across various industries including Cultural Heritage (CH) and tourism. Digital technologies, such as eXtended Reality (XR) and the Internet of Things (IoT), are increasingly being adopted to enhance visitors’ experiences, foster interactive engagement, and promote cultural knowledge. Despite the growing number of digital solutions proposed in the CH sector, several challenges remain in differentiating digital products and services, including matching industry needs and user expectations. This aspect is of particular interest when dealing with small and medium enterprises (SMEs), which often suffer from limited resources. Therefore, to design an effective digital solution, like a cloud-based platform for tourism and heritage applications, it is essential to first identify the key requirements, expectations, and preferences of SMEs and customers. This study presents the findings of a survey-based analysis conducted among 122 CH and tourism professionals, focusing on the most relevant features, services, and functionalities that such platforms should integrate. Results indicate a strong demand for cloud-based solutions that incorporate XR, IoT, sensors, and smart devices to collect context data and deliver personalized, immersive, and context-aware experiences. These insights suggest valuable practices for the development of digital tools that effectively support cultural organizations in engaging visitors.","url":"https://doi.org/10.3390/app15094935","authors":["Vito Del Vecchio","Mariangela Lazoi","Claudio Marche","Christos Mettouris","Mario Montagud","Giorgia Specchia","Mostafa Z. Ali"],"tags":["Tourism","Cultural heritage","Architectural engineering","User experience design","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-29","doi":"https://doi.org/10.3390/app15094935","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7119470489","name":"Roots and the rhizosphere: a perspective on the hidden engine of regenerative, antifragile, and digitally enabled agriculture","source":"openalex","abstract":"For decades, agricultural optimization has focused primarily on aboveground yield and external inputs while neglecting the complexity and functional integrity of belowground processes. The rhizosphere, the dynamic zone surrounding roots, has long been investigated through isolated components but rarely in a holistic framework, despite its critical role in agroecosystem productivity, soil fertility, and sustainability. Moreover, the translation of this knowledge into routine farm-scale practice remains quite limited. This perspective argues for repositioning the rhizosphere at the center of agricultural innovation. In this view, roots and their microbial partners are not only fundamental for crop performance but also drivers of antifragility, enabling farming systems to withstand and even improve under environmental stresses, while sustaining productivity. Integrating advances in root biology, soil chemistry, microbial ecology, and agronomics, this review shows that rhizosphere processes drive key biogeochemical functions such as carbon sequestration, nutrient cycling, and stress adaptation. Critical gaps include limited integration of root-microbiome traits in crop breeding, lack of field-ready rhizosphere diagnostics, and variable performance of microbial inoculants across soils and climates. Addressing these challenges is essential to operationalize rhizosphere science at field scale and support reduced-input, climate-resilient farming systems. Looking forward, emerging technologies ranging from high-resolution imaging and spectroscopy to artificial intelligence offer unprecedented insight into belowground complexity and a unique opportunity to bridge the gap between experimental insights and real-world farming. Ultimately, the review calls for a paradigm shift embedding rhizosphere processes into crop breeding, farming system design, and management strategies. Recognizing the rhizosphere as a primary entry point for innovation is essential for translating science into practical levers for regenerative, antifragile, and sustainable agriculture. • Roots and microbes form dynamic alliances that drive nutrient cycles and soil health. • The rhizosphere is central to antifragile, climate-smart, and regenerative farming. • Root exudates shape microbial recruitment and enhance plant stress adaptability. • AI, imaging, and sensors unlock real-time insights into rhizosphere functionality. • Redesigning agriculture from below connects breeding, management, and microbiomes.","url":"https://doi.org/10.1016/j.farsys.2026.100199","authors":["Stefano Cesco","Monica Yorlady Alzate Zuluaga","Luciano Cavani","Luigimaria Borruso","Vito Armando Laudicina","Fabrizio Mazzetto","Tanja Mimmo","Y. Pii","Roberto Terzano","Stefania Astolfi"],"tags":["Rhizosphere","Agriculture","Microbial inoculant","Sustainable agriculture","Agroecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.1016/j.farsys.2026.100199","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W2993247505","name":"Human–Robot Collaboration in Manufacturing Applications: A Review","source":"openalex","abstract":"This paper provides an overview of collaborative robotics towards manufacturing applications. Over the last decade, the market has seen the introduction of a new category of robots—collaborative robots (or “cobots”)—designed to physically interact with humans in a shared environment, without the typical barriers or protective cages used in traditional robotics systems. Their potential is undisputed, especially regarding their flexible ability to make simple, quick, and cheap layout changes; however, it is necessary to have adequate knowledge of their correct uses and characteristics to obtain the advantages of this form of robotics, which can be a barrier for industry uptake. The paper starts with an introduction of human–robot collaboration, presenting the related standards and modes of operation. An extensive literature review of works published in this area is undertaken, with particular attention to the main industrial cases of application. The paper concludes with an analysis of the future trends in human–robot collaboration as determined by the authors.","url":"https://doi.org/10.3390/robotics8040100","authors":["Eloise Matheson","Riccardo Minto","Emanuele G. G. Zampieri","Maurizio Faccio","Giulio Rosati"],"tags":["Robotics","Robot","Artificial intelligence","Computer science","Human–robot interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-06","doi":"https://doi.org/10.3390/robotics8040100","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416593640","name":"Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin","source":"europepmc","abstract":"Giga-voxel digital models offer abundant geometric detail; however, no mainstream method currently exists to efficiently distribute individual voxels across massive image volumes, and designing complex anisotropic composite materials remains infeasible due to the absence of promising methods. Herein, we propose a systematic digital twin workflow tailored for generating high-fidelity virtual representations of anisotropic composite microstructures and giga-voxel meso-structural models, leveraging a harmonious integration of top-down image-based modeling and bottom-up data-driven generation. Our study demonstrates the efficacy of micro-digital representations as foundational building blocks within a continuum of digital assembly processes tailored for mesostructural models. Utilizing 3D image data, specifically X-ray tomography, our data-driven modeling meticulously characterizes the geometric attributes of the experimentally observed objects, thereby facilitating the creation of digital unit twins, each endowed with distinct identities assigned through a random seed generation. The closed-loop system provides feedback mechanism between data and model to ensure the 3D quality of the generated models. For hierarchical organization at the giga-voxel level, the digital unit twins are methodically expanded into cohesive 3D architectures based on assembly relationship at length scales of more than four orders of magnitude. Remarkably, this hierarchical model provides intricate insight into micro-to-macro geometrics while preserving the intrinsic microstructure.","url":"https://doi.org/10.1002/adma.202510559","authors":["Siwon Yu","Seungsoo Jang","Young Seok Cho","Seunggyu Park","Jun Yeon Hwang","Soon Hyung Hong","T.J. Marrow","Kang Taek Lee"],"tags":["Workflow","Computer science","Voxel","Architecture","Composite number"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025-11-24","doi":"https://doi.org/10.1002/adma.202510559","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4411028056","name":"Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation","source":"openalex","abstract":"Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation analyzes contemporary debates in the museum field through the lens of tensions between technology, digital culture, and political and epistemological disputes. Structured in three parts, the article develops a critical approach that, in the first section, revisits critiques of the modernist museum model, highlighting how discourses from New Museology, institutional critique, and decolonial perspectives challenge the idea of neutral, universal, and Eurocentric museums. The second part explores the shift from temple-like museums to interface-museums, focusing on the analysis of practices such as digitization, immersive exhibitions, and gamification. It argues that while these technologies may expand access, their uncritical use can reproduce inequalities and render plural and inclusive narratives invisible. The third part addresses the emergence of hyperconnected museums and the application of artificial intelligence (AI) in curatorial, mediating, and reconstructive processes, analyzing collaborative and artistic projects such as Demonumenta and Curationist that critically reinterpret collections. Throughout the article, the concept of meta-algorithmic curation is developed, which is understood as a practice that makes algorithms visible, open to critique, and reconfigurable as cultural and political devices. Methodologically, the article combines critical theoretical review with analysis of institutional and artistic case studies, highlighting practices that appropriate the supposed neutrality of data to develop a critical pesrpective and advocate for more inclusive, distributed, and politically engaged curatorial narratives.","url":"https://doi.org/10.3390/arts14030065","authors":["Priscila Arantes"],"tags":["Digital culture","Computer science","Sociology","Media studies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-04","doi":"https://doi.org/10.3390/arts14030065","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7154582728","name":"Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives","source":"openalex","abstract":"Irrigation management in modern agriculture faces simultaneous challenges, including water scarcity, climate uncertainty, and the need for long-term sustainability. In this study, an integrated framework for real-time irrigation control is presented, in which a digital twin is not merely used as a monitoring or simulation tool but is directly embedded in the decision-making and control loop through an agent-based fuzzy multi-objective optimization mechanism. Unlike conventional smart irrigation approaches that rely on static thresholds or offline optimization, the proposed framework enables adaptive, context-based decision updates by continuously integrating physical system feedback into a dynamic optimization engine. The decision-making agent, by simultaneously assessing soil, climate, and plant growth conditions, generates irrigation policies that balance water consumption, crop growth, and environmental sustainability requirements under fuzzy uncertainty. Experimental results show that using dynamic feedback in the digital twin framework improves the multi-objective performance index by more than 12% compared to the static state and significantly reduces control fluctuations. Convergence, stability under uncertainty, and parameter sensitivity analyses also indicate that the proposed framework can establish a sustainable balance across water resource utilization, crop yield, and environmental considerations. The findings indicate that this approach can provide a practical and reliable platform for transitioning to smart, adaptive, and sustainable irrigation systems.","url":"https://doi.org/10.36922/ijocta026040013","authors":["Hamed Nozari","Zornitsa Yordanova"],"tags":["Fuzzy logic","Sustainability","Fuzzy control system","Computer science","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-15","doi":"https://doi.org/10.36922/ijocta026040013","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4405574038","name":"Examining patient safety protocols amidst the rise of digital health and telemedicine: nurses’ perspectives","source":"openalex","abstract":"BACKGROUND: Integrating digital health and telemedicine technologies is transforming healthcare delivery. In light of this transition, it is critical to ascertain the efficacy of patient safety protocols and evaluate the awareness of healthcare professionals, particularly nurses, regarding the integration of digital health technologies. AIM: This study examines the factors influencing the successful adoption of digital health and telemedicine technologies from the nurses' perspective, focusing on ensuring patient safety and enhancing organizational readiness for digital health integration. METHODS: A cross-sectional study included 246 nurses from outpatient healthcare centers in Egypt. The data collected included demographic information and responses to a series of questionnaires, namely the Patient Safety Culture Survey (PSCS), the Telemedicine Risk Assessment and Mitigation Matrix (TRAMM), the Digital Health Adoption Readiness Assessment (DHARA), and the Digital Health Impact Assessment Tool (DHIA). The descriptive statistical analyses were conducted using the IBM SPSS Statistics software, version 26. RESULTS: The sample was predominantly composed of nurses aged 18-35 (40.65%) and 36-55 (44.72%), with a near-equal gender distribution (48.78% male, 51.22% female). Most nurses held college degrees (73.17%) and were familiar with telemedicine (73.17%). The PSCS indicated positive scores for Communication Openness (4.5), Leadership Support (4.2), Teamwork (4.3), and Organizational Learning (4.1), with an overall mean score of 4.275. The TRAMM scores were notably high (total mean score 4.9), indicating effective risk management. The DHARA demonstrated considerable preparedness, as evidenced by a Total Mean Score of 7.85. The DHIA further substantiated this readiness, indicating a robust anticipated impact, particularly in Patient Engagement (9.0) and Usability (8.2). CONCLUSION: The favorable assessment scores indicate a strong awareness of integrating digital health and telemedicine, suggesting the potential for enhanced patient care and healthcare delivery. It is recommended that healthcare organizations prioritize providing ongoing training and support for nurses, enabling them to utilize digital health tools and thereby enhance patient safety effectively. CLINICAL TRIAL NUMBER: Not applicable.","url":"https://doi.org/10.1186/s12912-024-02591-8","authors":["Ateya Megahed Ibrahim","Ibrahim Naif Alenezi","Mahfouz Aa","Ishraga A. Mohamed","Marwa A. Shahin","Elsayeda Hamdy Nasr Abdelhalim","Laila Zeidan Ghazy Mohammed","Takwa Rashwan Mohamed Abd-Elhady","Reda S. Salama","Aziza Mohamed Kamel","Rania Abdel Khalik Gouda","Noura Elgharib Mohamed Mostafa Eldiasty"],"tags":["Telemedicine","Nursing research","Nursing management","Medicine","Health informatics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-19","doi":"https://doi.org/10.1186/s12912-024-02591-8","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4390575816","name":"How do innovation intermediaries’ business models cope with their need to develop new digital services?","source":"openalex","abstract":"This study explores relationships among various aspects of Innovation Intermediaries' (IIs) business models and their intention to provide digital and data-enabled services to their members/customers. Using mixed research methods with data collected from Danish IIs, we find that IIs' current use level of digital resources has a positive relationship with their intention of offering digital and data services, while the level of existing digital services demotivates or prevents IIs from providing them. We also find that the breadth of IIs' customers and partnerships is not directly associated with their intention to offer more digital services in the future. These findings are enriched with nuanced insights from a follow-up qualitative study showing that strategic partners do not provide the required support for intermediaries to develop and provide digital offerings. Instead, IIs rely on system integrators to equip themselves with the needed digital capacity to support their members/customers. The study contributes to the understanding of IIs’ business models linked to their service catalogue, particularly on digital offerings and their function as digitalization champions in a shifting paradigm of industrial digital transformation. Furthermore, it adds knowledge about open innovation by researching service offerings and relevant resources and capabilities of IIs as network organizations.","url":"https://doi.org/10.1016/j.technovation.2023.102950","authors":["Lluís Ròmul Sala-Vilar","Jason Li‐Ying","Tim Traunecker"],"tags":["Intermediary","Business","Business model","Process management","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-04","doi":"https://doi.org/10.1016/j.technovation.2023.102950","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7138865745","name":"RESEARCH ON AI-ENABLED EDUCATION SYSTEM FOR BANK EMPLOYEES: SIMULATION ANALYSIS BASED ON DIGITAL TWIN TECHNOLOGY","source":"openalex","abstract":"With the rapid development of artificial intelligence (AI) technology, the banking industry, as a frontier of digital transformation, has placed higher demands on its employees' AI capabilities. However, traditional training models lack practicality, immersion, and sustainability, making them unable to meet the demands of complex and ever-changing financial business scenarios. This study, focusing on bank employees, explored an AI-enabled education system based on digital twin technology. By constructing a simulation platform, real-world business scenarios were virtualized and interactive training was conducted, helping employees learn and apply AI-related knowledge and skills in a low-risk environment. The study employed a method combining needs analysis, system design, and simulation experiments. Results showed that the system significantly improved employees' AI knowledge, operational efficiency, and problem-solving skills, with outstanding performance in terms of job adaptability and learning satisfaction. This study not only provides an innovative path for talent development in the banking industry but also offers a reference for the promotion and application of digital education systems in the financial sector.","url":"https://doi.org/10.33514/1694-7851-2025-4/3-62-71","authors":["Xiaojiao Wang","K.Zh. Abdykadyrov"],"tags":["Adaptability","Promotion (chess)","Knowledge management","Computer science","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-17","doi":"https://doi.org/10.33514/1694-7851-2025-4/3-62-71","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4415769242","name":"Quality by digital design in action: a workflow for crystallisation and isolation","source":"openalex","abstract":"This paper exemplifies a Quality by Digital Design (QbDD) workflow for the crystallisation and isolation of active pharmaceutical ingredients (APIs). QbDD uses a digital first approach to improve manufacturability and sustainability whilst assuring product quality within practical constraints. This study uses three exemplar compounds (ibuprofen, lamivudine, and AZD0837), each of which presents a different challenge for crystallisation; these include agglomeration, solid state form, and slow growth rates, respectively. These cases are used to evaluate the benefits of the QbDD approach and identify gaps for future research. Results of this work show that the QbDD workflow reduces the number of physical experiments by 28% and the API material usage by 52-65% when compared to comparable API development processes not using this approach. This approach provides a route to practically implement and exploit the benefits of digital tools and overcome digital skill shortages. By exploiting digital tools for process simulation and optimisation, the workflow improves efficiency, even in complex cases where multiple workflow iterations are required. This workflow, therefore, paves the way for more sustainable and cost-effective API production and it promotes future standardisation of digital design in pharmaceutical development.","url":"https://doi.org/10.1016/j.ijpharm.2025.126343","authors":["Ian Houson","Humera Siddique","Magdalene W. S. Chong","Murray N. Robertson","Alice Turner","Alison Nordon","Amal Osman","Amparo Galindo","Andrew S. Dunn","Blair T. Johnson","Brahim Benyahia","Cameron J. Brown","Chantal L. Mustoe","C. Price","Chris D. Reilly","Claire S. Adjiman","George Jackson","Elke Prasad","Gavin Halbert","Helen Feilden","Ján Šefčı́k","John McGinty","John Robertson","Ken Smith","Mais Al-Attili","Mark McGowan","Mariam Siddique","Momina Pathan","Nazer Rajoub","N. Gregory Hamilton","Rachel Gallant Feeney","Scott H. Brown","Stephanie J. Urwin","Thomas Bernet","Thomas Pickles","Wei Li","Alastair J. Florence"],"tags":["Workflow","Computer science","Design for manufacturability","Quality (philosophy)","Workflow technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.1016/j.ijpharm.2025.126343","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7118177772","name":"Animating the transition: How agriculture 5.0 revitalises agroecological principles","source":"openalex","abstract":"Agriculture is undergoing a rapid digital transformation that challenges its ecological, social, and ethical foundations. This study explores how the transition from two revolutions, from Agriculture 4.0 (A4.0) to Agriculture 5.0 (A5.0), redefines the relationship between technology and agroecology. The dominant approach of A4.0, driven by automation, big data, and artificial intelligence, has enhanced efficiency but missed many agroecological principles, mainly those contributing to secure social equity and responsibility. Emerging as a corrective paradigm, A5.0 seeks to integrate technological progress with agroecological principles that value the social and human dimension. Adopting a scoping review following PRISMA-ScR guidelines, scientific publications indexed in Scopus and CABI up to October 2025 were screened and coded to assess how current A5.0 research embeds the thirteen agroecological principles defined by the High-Level Panel of Experts in 2019. A total of 136 documents were analysed through bibliometric and thematic synthesis. Results show that A5.0 represents a philosophical and structural evolution beyond the efficiency-oriented logic of A4.0, integrating distributed computing, explainable artificial intelligence, digital twins, and collaborative robotics within ecologically restorative and socially inclusive frameworks. However, while A5.0 strengthens resource efficiency, resilience, and certain social segments through open-source technologies and participatory design, gaps remain in policy coherence, emotional engagement, and human–machine co-learning. To address these, the study proposes two complementary agroecological principles, cognitive symbiosis and emotional ecology, emphasising shared intelligence and affective stewardship between humans, machines, and ecosystems. Overall, Agriculture 5.0 reframes digitalisation as a human-ecological partnership that can operationalise agroecology’s ethical goals if governed by inclusion, transparency, and regeneration rather than control and optimisation.","url":"https://doi.org/10.1016/j.atech.2026.101788","authors":["M. Naim","A. Boukhizzou"],"tags":["Agroecology","Stewardship (theology)","Agriculture","Sustainable agriculture","General partnership"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-05","doi":"https://doi.org/10.1016/j.atech.2026.101788","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4414745885","name":"CAD-guided 6D pose estimation with deep learning in digital twin for industrial collaborative robot manipulation","source":"openalex","abstract":"6D pose estimation in the bin-picking task has attracted increasing attention from researchers. CAD model-based method have been proposed, demonstrating its effectiveness. However, most existing research relies on point cloud registration from the RGB-D camera, which is often not robust to noise and low-light conditions, leading to degraded point cloud quality and reduced accuracy. Thereby, the method accuracy is significantly affected. Moreover, detecting objects correctly plays a vital role in multiple objects. Supervised deep learning takes consideration into this task, but it typically requires a large amount of labeled data. In industrial environments, sample collection and model retraining are limited. To address these challenges, we introduce the potential approach that integrates the zero-shot learning YOLOE and DEFOM-Stereo model. The YOLOE detects and localizes the object without requiring object-specific training, while DEFOM-Stereo generates point clouds for the CAD model-based pose estimation. Extensive experiments demonstrate that the proposed approach achieves high accuracy in pose estimation, which is essential for grasp planning and manipulation tasks in robotics. Furthermore, the proposed approach is applied in a Unity3D-based digital twin, enabling enhanced virtual representation of a physical pickup target with an estimated pose. Hence, the research result supports more accurate and responsive digital twins for robotics toward the development of smart manufacturing systems.","url":"https://doi.org/10.4108/airo.9676","authors":["Quang Huan Dong","Thu Trang Pham","Tuan-Khanh Nguyen","Chi-Cuong Tran","Hoang Huy Tran","Desney Tan","Khang Hoang Vinh Nguyen","Quang-Chien Ngyuyen"],"tags":["Pose","Artificial intelligence","Point cloud","Computer science","GRASP"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-02","doi":"https://doi.org/10.4108/airo.9676","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W4416781283","name":"Neuromorphic Computing-Enabled Digital Twin Framework for Sustainable IT Supply Chain Integration in Smart Urban Ecosystems","source":"openalex","abstract":"The convergence of neuromorphic computing, digital twin technologies, and sustainable supply chain management presents unprecedented opportunities for transforming urban cyber-physical systems. This viewpoint paper introduces a novel conceptual framework that integrates neuromorphic computing architectures with digital twin methodologies to optimize sustainable IT supply chain operations within smart urban ecosystems. The proposed framework addresses critical issues related to real-time data processing, energy-efficient computation, and adaptive decision-making for green technology adoption across complex urban supply networks. Through theoretical analysis and conceptual modeling, we demonstrate how brain-inspired computing paradigms can enhance digital twin capabilities for monitoring, predicting, and optimizing supply chain sustainability metrics. The framework incorporates spatiotemporal knowledge graph embeddings, hybrid intelligence systems, and circular economy principles to create responsive, self-adapting supply chain networks. Our approach offers significant implications for urban planners, supply chain managers, and technology implementers seeking to advance computational sustainability science. The integration of neuromorphic processing units with digital twin architectures enables unprecedented energy efficiency improvements of up to 1000x compared to traditional computing approaches while maintaining real-time responsiveness for critical supply chain decisions. This research plays role in emerging urban sector computational sustainability by contributing a foundational framework for next-generation smart city supply chain management systems.","url":"https://doi.org/10.64229/q5g7dh32","authors":["Viraj P. Tathavadekar","Nitin R. Mahankale"],"tags":["Neuromorphic engineering","Supply chain","Sustainability","Computer science","Smart city"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-07","doi":"https://doi.org/10.64229/q5g7dh32","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"oa:W7116764415","name":"A Digital Twin-Enhanced KJ-Kano Framework for User-Centric Conceptual Design of Underwater Rescue Robots","source":"openalex","abstract":"To address the increasing complexity and diversity of user requirements in underwater rescue equipment, this study proposes a Digital Twin (DT)-enhanced KJ-Kano conceptual design framework. It systematically closes the feedback loop between requirement prioritization and experiential validation. Unlike traditional approaches, this framework orchestrates KJ clustering, Kano analysis, and mission-aware DT simulation in a domain-adapted, iterative workflow, enabling dynamic validation of user needs under high-risk, simulated rescue scenarios. Functional expectations and preferences were clustered and prioritized, then instantiated in a modular DT prototype for navigation, manipulation, and perception tasks. To evaluate design effectiveness, 55 participants operated the robot DT model and its control interfaces in virtual rescue missions. User satisfaction across functionality, interactivity, intelligence, and appearance was assessed with a five-point Likert scale, and the results showed high reliability (Cronbach’s α = 0.86) and positive evaluations (overall mean = 3.83). Intelligent experience scored highest (3.95), while ease of operation was lowest (3.60), suggesting potential for interface optimization. The framework effectively transforms heterogeneous, context-specific user requirements into validated design solutions, offering a replicable, data-driven methodology for early-stage conceptual design of underwater rescue robots and other safety-critical human–machine systems, bridging the gap between generic design methods and high-risk domain application.","url":"https://doi.org/10.3390/app16010135","authors":["Xiaojing Niu","Jingying Ye","Liling Chen"],"tags":["Conceptual design","Iterative design","Human–computer interaction","Computer science","User experience design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/app16010135","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1115/imece2025-160631","name":"Converting Virtual Commissioning of a Pick and Place Robot Into Digital Twin","source":"crossref","abstract":"Abstract Virtual commissioning is an emerging industrial practice that allows engineers to validate systems in a simulated environment before physical implementation. This approach has advanced with the integration of digital twin technology. Despite these advancements, current models often suffer from data inaccuracies and modeling limitations. This study improves digital twin reliability by applying the concept to a pick-and-place MiniFESTO system, highlighting an existing research gap. The study investigates the improvement of a digital twin using an integration of older and newer PLC technology. Using a MiniFESTO robot as a case study, a digital twin is developed with Siemens PLM tools including 2 PLC systems (S7-1200 and 1500), Tecnomatix, and TIA Portal. Real-time data acquisition enables the analysis of a key performance variable, and comparing digital and physical results to evaluate accuracy. Results show that the digital twin can mirror the physical system with an accuracy within approximately 5 percent. This reduced error enables more reliable performance forecasting and operational adjustments. As part of future work, the project will explore the integration of advanced tools to further improve accuracy. The findings provide a practical framework for implementing digital twins in daily operations and emphasize their potential to enhance industrial system performance.","url":"https://doi.org/10.1115/imece2025-160631","authors":["David A. Guerra-Zubiaga","Gershom Richards","David Luna","Carter Corbin","Theodor Myklebusthaug","Oscar Tharp","Juan Crisantos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T16:15:21Z","doi":"10.1115/imece2025-160631","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/iconstem65670.2025.11374302","name":"AI-Driven Digital Twin Framework for Smart and Sustainable Infrastructure Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iconstem65670.2025.11374302","authors":["Hemraj Parate","Kishore Bandela","Amey Waikar","Bhavik Manish Shah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-18T21:13:43Z","doi":"10.1109/iconstem65670.2025.11374302","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/icaace65325.2025.11019530","name":"A Method for Intangible Cultural Heritage Image Enhancement Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace65325.2025.11019530","authors":["Rongdong Xie","Huan Xia","Xiaojie Li","Cheng Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-09T17:33:00Z","doi":"10.1109/icaace65325.2025.11019530","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1080/17477778.2025.2453725","name":"A digital twin solution for fault detection in time-critical IIoT applications","source":"crossref","abstract":"","url":"https://doi.org/10.1080/17477778.2025.2453725","authors":["Amish Ranpariya","Sangeeta Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-21T08:20:31Z","doi":"10.1080/17477778.2025.2453725","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/safeprocess67117.2025.11268161","name":"Research on Modeling and Motion Simulation of Hydraulic Robot Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/safeprocess67117.2025.11268161","authors":["Yajie Li","Ruilong Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-05T18:36:24Z","doi":"10.1109/safeprocess67117.2025.11268161","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/iccc65529.2025.11148612","name":"Heterogeneous-Agent PPO RL for xApps Coordination in Digital Twin Enabled O-RAN","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc65529.2025.11148612","authors":["Zhizhou He","Yang Luo","Mohammad Shojafar","De Mi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-11T17:29:17Z","doi":"10.1109/iccc65529.2025.11148612","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/icc52391.2025.11161768","name":"Content Delivery in Vehicular Digital Twin Using Heterogeneous Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc52391.2025.11161768","authors":["Jinkai Zheng","Tom H. Luan","Guanjie Li","Yanfeng Zhang","Weiwei Yang","Haixia Peng","Zhou Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-26T17:34:55Z","doi":"10.1109/icc52391.2025.11161768","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/epec65543.2025.11230423","name":"Voltage Sag Reduction at Sunnybrook Health Sciences Center Using a Digital Twin Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/epec65543.2025.11230423","authors":["Sean D. Budhooram","Vijay K. Sood","Thomas Ma","Dave Simmons"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T18:38:31Z","doi":"10.1109/epec65543.2025.11230423","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/iceamst67459.2025.11335694","name":"AI -Powered Digital Twin for Fault Monitoring in Medical Exoskeleton","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceamst67459.2025.11335694","authors":["S. Janagiraman","D. Pragadeeshwari","J. Joshny Secelin Sherica"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-21T21:06:06Z","doi":"10.1109/iceamst67459.2025.11335694","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1002/9781394303564.ch14","name":"Digital Twin Consensus for Blockchain‐Enabled Intelligent Transportation Systems in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch14","authors":["P. Savaridassan","K. Sahasra","B. Kalaiselvi","A. R. Nagoormeeran","N. Krishnaraj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch14","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1007/978-3-031-22140-8_4","name":"Smart Control Engineering Enabled by Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-22140-8_4","authors":["Jairo Viola","YangQuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-13T12:05:40Z","doi":"10.1007/978-3-031-22140-8_4","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/milcom64451.2025.11310414","name":"Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor","source":"crossref","abstract":"","url":"https://doi.org/10.1109/milcom64451.2025.11310414","authors":["Pulok Tarafder","Imtiaz Ahmed","Danda B. Rawat","Zoheb Hassan","Kamrul Hasan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-01T18:35:33Z","doi":"10.1109/milcom64451.2025.11310414","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1115/iowtc2025-164947","name":"Floating Offshore Wind Turbines Digital Twin Calibration From Operational Data Through Operational Modal Analysis and Optimization","source":"crossref","abstract":"Abstract The joint industry project (JIP) Wind Avatar focuses on the possibilities unlocked by the development of digital twin technology, applied to floating offshore wind turbines. Precisely, we consider the construction and operation of the digital twin of a single synthetic floating wind turbine model. The present work is based on a reference wind turbine and floater model and focuses on methodologies to perform a calibration of a digital twin from available operational data to ensure consistency with the real asset. The properties calibrated focus on the wind turbine and are mostly related to masses and stiffnesses of the different parts of the model. We are considering synthetic data and building a workflow based on Operational Modal Analysis (OMA) and on an optimization workflow to evaluate the applicability of this approach in a realistic context. The workflow is based on a systematic comparison of mode shapes and frequencies between digital twin and real asset and relies on the Sequential Quadratic Approximation (SQA) approach for the optimization [1]. The main outcomes are that the optimization can allow to calibrate structure properties if a well-defined set of vibration modes has been identified from sensor data. The results underline how the workflow is promising if used in favorable context.","url":"https://doi.org/10.1115/iowtc2025-164947","authors":["Nicolas Guy","Alexis Benhamou","Pavel Dedeev","Nicolas Loustaunau","Jérôme de Lauzon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-29T20:45:23Z","doi":"10.1115/iowtc2025-164947","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/sera65747.2025.11154501","name":"Applicability of MongoDB for Smart City Digital Twin Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sera65747.2025.11154501","authors":["Colin Ripley","Mian Qian","Yuanqiong Wang","Wei Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-16T17:31:58Z","doi":"10.1109/sera65747.2025.11154501","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/asmc64512.2025.11010619","name":"DNN-based Predictive Digital Twin for FHE Manufacturing","source":"openalex","abstract":"This work presents a novel predictive model and a virtual metrology for Flexible and Printable Electronic (FHE) device fabrication using deep learning techniques. Our method leverages the Deep Neural Network (DNN) based model Pix2Pix to predict outcomes of 3D inkjet printing from layout images. We prepared an experimental FHE dataset that captures printed electronics’s intricate patterns and printing process variability. By training the Pix2Pix model on this dataset, we successfully demonstrated its ability to learn and accurately predict the outcome of inkjet printing of structures using a conductive ink. The best mean absolute errors (MAE) for width and gap prediction are 5.07 microns and 7.99 microns. This approach enables improvement of efficiency and accuracy of printed electronics, paving the way for advancements in FHE manufacturing technology and workflows.","url":"https://doi.org/10.1109/asmc64512.2025.11010619","authors":["Haiyang Yun","Hao-Chun Liao","Jacky Borenstein","Benyamin Davaji","Peter C. Doerschuk","Amit Lal"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-05","doi":"10.1109/asmc64512.2025.11010619","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1109/iciss66954.2025.11389661","name":"Digital Twin Technology for Structural Health Monitoring of Railway Bridge: A Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciss66954.2025.11389661","authors":["Vebby Amelya Nora","Suhono Harso Supangkat","Fadhil Hidayat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-24T20:54:20Z","doi":"10.1109/iciss66954.2025.11389661","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/gpecom65896.2025.11061855","name":"Digital Twin-Enabled Resilient Network Reconfiguration for Cybersecurity of Decarbonized Power Distribution Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gpecom65896.2025.11061855","authors":["Ehsan Naderi","Arash Asrari","Mohsen Saffari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-09T23:04:25Z","doi":"10.1109/gpecom65896.2025.11061855","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/maim68393.2025.11470095","name":"Simulation and Optimization of an Intelligent Sorting System for Industrial Robots Based on Digital Twin and Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/maim68393.2025.11470095","authors":["Yunshuo Gai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:22:38Z","doi":"10.1109/maim68393.2025.11470095","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1049/et.2022.0701","name":"The Helsinki Twin [Finland - digital twin]","source":"crossref","abstract":"","url":"https://doi.org/10.1049/et.2022.0701","authors":["L. Murray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-05T14:10:33Z","doi":"10.1049/et.2022.0701","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iccad64771.2025.11099380","name":"Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccad64771.2025.11099380","authors":["Osimone Imhogiemhe","Yoann Jus","Hubert Lejeune","Saïd Moussaoui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-06T17:54:52Z","doi":"10.1109/iccad64771.2025.11099380","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/acsos-c66519.2025.00048","name":"Towards First-Class Human Involvement in Digital Twin-Enabled Socio-Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acsos-c66519.2025.00048","authors":["Javier Cámara","Lola Burgueño"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T18:26:04Z","doi":"10.1109/acsos-c66519.2025.00048","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/j.procs.2025.02.016","name":"Digital Twin in Industry 4.0: Systematic review and content analysis and an architectural reference model","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2025.02.016","authors":["P.T.J.C. Filho","O.C. Junior"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-25T07:08:41Z","doi":"10.1016/j.procs.2025.02.016","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/citsc64390.2025.00164","name":"Research on Fault Diagnosis of Electromechanical Equipment Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/citsc64390.2025.00164","authors":["Shan Yan","Zhang Xiaomeng","Han Hongmin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-28T03:18:58Z","doi":"10.1109/citsc64390.2025.00164","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1121/10.0041493","name":"Digital twin-based automated sonar signal simulation for training datasets","source":"crossref","abstract":"The growing importance of sonar AI in maritime defense and target detection, tracking, and classification has created an urgent need for extensive training datasets. However, data collection in real marine environments remains costly and time-intensive. We present an automated sonar signal simulation based on Digital Twin technology. The system generates scenarios automatically using user-defined parameters, including data volume, environmental conditions, ownship and target maneuvers, target noise, and ambient noise characteristics. Acoustic propagation modeling utilizes oceanographic databases with parameters such as depth, temperature, and salinity profiles to account for the physical characteristics of sonar propagation. Target information databases include vessel characteristics—hull dimensions, screw, and engine parameters—enabling realistic simulation of both broadband and narrowband tonal signatures in targets. This simulation framework facilitates large-scale dataset generation for sonar AI applications. We describe the system architecture and signal generation process, with validation through CNN-based target classification experiments. Two datasets generated by our system achieved classification accuracies of 67.9% and 94.4%, respectively. Through analysis of performance differences based on dataset composition, we demonstrate the system's practical utility for sonar AI development. [Work supported by Korean Research Institute for defense Technology planning and advancement, KRIT-CT-22-023.]","url":"https://doi.org/10.1121/10.0041493","authors":["Minjeong Eom","Yoonseok Oh","Chaehui Lee","Keecheol Shin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T16:49:36Z","doi":"10.1121/10.0041493","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1145/3746237.3746292","name":"Reconstruction of the Etemenanki temple tower in Babylon using digital twin and additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3746237.3746292","authors":["Stefan Junk","Felix Mutterer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-28T11:27:53Z","doi":"10.1145/3746237.3746292","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/e-tems64751.2025.11239246","name":"Parking Space Occupancy Detection Using a Mobile Robot for an Urban Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/e-tems64751.2025.11239246","authors":["Lajos Kühn","Salim Sir","Björn Schäfer","Hugues Tchouankem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-18T18:43:17Z","doi":"10.1109/e-tems64751.2025.11239246","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/iccworkshops67674.2025.11162402","name":"Manipulating Digital Twin Networks by Poisoning Semantic Knowledge Base","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops67674.2025.11162402","authors":["Boyu Han","Yuanhang He","Rui Xu","Da Xiao","Na Ruan","Jianhua Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-22T17:42:25Z","doi":"10.1109/iccworkshops67674.2025.11162402","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.61782/fa.2025.0163","name":"Auralization in a moving base driving simulator as part of a digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.61782/fa.2025.0163","authors":["Anders Genell","Thomas Lundberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-26T07:19:19Z","doi":"10.61782/fa.2025.0163","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/ccac64704.2025.11259355","name":"Digital Twin of a Mecanum Mobile Robot in ROS-Gazebo","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccac64704.2025.11259355","authors":["Laura Valentina Vanegas Torres","Carlos Andrés Mesa M.","Germán A Holguin L."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-01T18:23:49Z","doi":"10.1109/ccac64704.2025.11259355","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11590911","name":"A Digital Twin Platform for QoS Optimization Under DoS Attacks for Next Generation Radio Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11590911","authors":["Mehmet Ali Ertürk","Kubra Duran","Ahmed Al-Dubai","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11590911","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/j.ast.2025.110620","name":"A novel approach to self-adaptive digital twin performance model of turbofan engines for in-flight application","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110620","authors":["Sangjo Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-15T18:14:43Z","doi":"10.1016/j.ast.2025.110620","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.12688/digitaltwin.17807.2","name":"Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17807.2","authors":["Guillaume Pronost","Frédérique Mayer","Mauricio Camargo","Laurent Dupont"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-08T04:20:10Z","doi":"10.12688/digitaltwin.17807.2","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.2337/db25-1020-p","name":"1020-P: Evaluating Glycemic Benefits of an AI-Driven Glucose Prediction App via Digital Twin Technology","source":"crossref","abstract":"Introduction and Objective: AI-driven glucose predictions help CGM users manage glucose levels more proactively. The Accu-Chek® SmartGuide Predict app notifies of low glucose levels within 30 minutes (LGP), nighttime hypoglycemia risk (NLP), and provides a continuous 2-hour glucose forecast (GP). This study evaluates the potential glycemic benefits of the app via in-silico analysis. Methods: Using UVa's digital twin methodology, 2458 days from 20 individuals in the REPLACE-BG dataset were simulated. Interventions: 15g fast-acting carbs after LGP notifications, 30g slow-absorbing carbs for high NLP risk at 22:30, and advancing/adding correction boli if GP forecast &amp;gt;220 mg/dL. Baseline intervention used a GP-like hyperglycemia mitigation strategy, substituting predictions with current CGM data. All hypoglycemia interventions are aligned with ADA guidelines. Nighttime meals/boli were omitted to better assess NLP. Results: LGP reduced %time &amp;lt;70mg/dL (4.2±1.5 vs 0.46±0.28 p&amp;lt;1e-4). GP reduced %time &amp;gt;180mg/dL (25.3±10.2 vs 22.0±8.6 p&amp;lt;1e-4). NLP decreased overnight %time &amp;lt;70mg/dL (5.6±2.2 vs 3.8±1.2 p&amp;lt;1e-4). Combining all features significantly reduced time outside range. Conclusion: The Accu-Chek® SmartGuide Predict app has the potential to enhance glycemic control in T1D. Limitations include the in-silico nature of the study and assumptions made in the user behaviour models. Disclosure P. Herrero: Employee; Roche Diabetes Care. M. Andorrà: Employee; Roche Diagnostics. Stock/Shareholder; Roche Diagnostics. M.D. Breton: Speaker's Bureau; Sinocare Inc, Tandem Diabetes Care, Inc. Consultant; Roche Diabetes Care, Boydsense. Y. Klopfenstein: Consultant; Roche Diagnostics. T. Glatzer: Employee; Roche Diabetes Care. Stock/Shareholder; Roche Diabetes Care, Abbott, Dexcom, Inc. Funding The research has been funded by Roche Diabetes Care GmbH","url":"https://doi.org/10.2337/db25-1020-p","authors":["PAU HERRERO","MAGÍ ANDORRÀ","MARC D. BRETON","YANNICK KLOPFENSTEIN","TIMOR GLATZER"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-13T06:23:17Z","doi":"10.2337/db25-1020-p","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/j.csa.2024.100064","name":"Distributed and trustworthy digital twin platform based on blockchain and Web3 technologies","source":"openalex","abstract":"The fourth industrial revolution has significantly increased the adoption of Digital Twins (DTs) across various sectors, including intelligent manufacturing, automation, logistics, and medical analysis. Despite substantial progress in deploying DT projects, numerous challenges remain, such as managing distributed data flows, protecting commercial confidentiality, securing intellectual property, and ensuring privacy and security. This research introduces a novel approach to addressing these challenges by leveraging blockchain and Web3 technologies, including non-fungible tokens (NFTs) and Distributed Autonomous Organizations (DAOs). The study aims to develop a distributed, tamper-proof DT cooperation platform that facilitates traceable and trustworthy data sharing while preserving intellectual property rights and enabling decentralized governance. This platform enhances idea and invention ownership, promotes collective decision-making through consensus protocols, and explores innovative solutions like blockchain-based federated learning and efficient DT project fundraising tools. Relying on security models and analysis tools, this study addresses several important security analysis methods/tools/models (e.g., random oracle model, BAN logic, AVISPA tool, and TAMARIN prover) that are known as practical analysis methods. They can strongly prove every claimed security feature of DT projects. The proposed solutions set the stage for future academic and industrial advancements, supported by a comprehensive SWOT (Strongness - Weakness - Opportunity - Threat) analysis, and outline potential future research directions.","url":"https://doi.org/10.1016/j.csa.2024.100064","authors":["Seyed Mojtaba Hosseini Bamakan","Saeed Banaeian Far"],"tags":["Blockchain","Trustworthiness","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-05","doi":"10.1016/j.csa.2024.100064","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"doi:10.1016/b978-0-443-27434-3.00006-4","name":"Digital twin for blockchain-enabled intelligent transportation systems in smart cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-27434-3.00006-4","authors":["Amit Kumar Tyagi","Bukola Fatimah Balogun","Shrikant Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-02T05:39:25Z","doi":"10.1016/b978-0-443-27434-3.00006-4","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/ecce58356.2025.11260412","name":"DNN-Based Digital Twin Framework of a DC-DC Buck Converter Using Spider Monkey Optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecce58356.2025.11260412","authors":["Tahmin Mahmud","Euzeli Cipriano Dos Santos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-03T18:38:34Z","doi":"10.1109/ecce58356.2025.11260412","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.4018/978-1-6684-6821-0.ch025","name":"The Convergence of Digital Twin, Internet of Things, and Artificial Intelligence","source":"crossref","abstract":"An agricultural digital twin is presented in this research using technologies from the sensing change and smart water management platform projects. Unlike the sensing change project, which created a soil probe, an internet of things is now being developed by the SWAMP project platform for managing water. The authors come to the conclusion that this system is capable of collecting data from the soil probe and displaying it in a dashboard, allowing for the deployment of additional soil probes, as well as other monitoring and controlling devices, to create a fully functional digital twin","url":"https://doi.org/10.4018/978-1-6684-6821-0.ch025","authors":["Shipra Shivkumar Yadav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-17T12:13:35Z","doi":"10.4018/978-1-6684-6821-0.ch025","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/cises66934.2025.11265639","name":"Digital Twin-Driven Predictive Maintenance Using ML Models in Industry 5.0 Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cises66934.2025.11265639","authors":["Tanay Kulkarni","Ayush Singh","Anila Gogineni","Guru Charan Kakaraparthi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-05T18:36:19Z","doi":"10.1109/cises66934.2025.11265639","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/iotsms68530.2025.11408591","name":"Exploring Human-in-the-Loop Integration in the Operation of Digital Twin Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iotsms68530.2025.11408591","authors":["Johannes Deufel","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-02T20:53:12Z","doi":"10.1109/iotsms68530.2025.11408591","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1117/12.3088686","name":"Design study of an intelligent hospital inventory management system based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3088686","authors":["Qi Chen","Nan Sheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-28T16:45:16Z","doi":"10.1117/12.3088686","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/b978-0-443-13850-8.00022-1","name":"The Astronaut Digital Twin: accelerating discovery and countermeasure development in the optimization of human space exploration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-13850-8.00022-1","authors":["Caleb M. Schmidt","Tom Paterson","Michael A. Schmidt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T10:09:57Z","doi":"10.1016/b978-0-443-13850-8.00022-1","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/j.csite.2024.105619","name":"Research on digital twin modeling method for combustion process based on model reduction","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.csite.2024.105619","authors":["Yue Zhang","Jiale Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-11T17:05:22Z","doi":"10.1016/j.csite.2024.105619","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.32604/icces.2025.012069","name":"Intelligent Structural Strength Monitoring Method Using Dynamic Evolving Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.32604/icces.2025.012069","authors":["Chenjun Ni","Kuo Tian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T08:04:48Z","doi":"10.32604/icces.2025.012069","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/bmsb65076.2025.11165733","name":"Real-Time Digital Twin for Remote Monitoring in an Extended Reality Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bmsb65076.2025.11165733","authors":["Pietro Zema","Chiara Suraci","Antonella Molinaro","Giuseppe Araniti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-24T17:31:40Z","doi":"10.1109/bmsb65076.2025.11165733","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/icca66035.2025.11430816","name":"Digital Twin of a 3-DOF Cartesian Sorting Robot: A Mechatronics Education Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icca66035.2025.11430816","authors":["Natheer Almtireen","Mutaz Ryalat","Ghaith Al-Refai","Hisham Elmoaqet"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-17T20:18:48Z","doi":"10.1109/icca66035.2025.11430816","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/pimrc62392.2025.11274580","name":"Digital Twin-Assisted Task Offloading with Chance Constrained Optimization in UAVs Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pimrc62392.2025.11274580","authors":["Mehak Basharat","Lilatul Ferdouse","Muhammad Naeem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-12T18:33:25Z","doi":"10.1109/pimrc62392.2025.11274580","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11590926","name":"Digital Twin-Enabled Predictive Anomaly Detection via Temporally Structured Causal Topology in Industrial IoT Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11590926","authors":["Pengyi Jia","Xianbin Wang","He Fang","Li Xu","Dusit Niyato"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11590926","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.52731/liir.v006.351","name":"Digital Knowledge Twin: Bridging the Gap Between Physical and Cyber Knowledge Spaces by Generative AI","source":"crossref","abstract":"","url":"https://doi.org/10.52731/liir.v006.351","authors":["NAOSHI UCHIHIRA","Koki Ijuin","Takuichi Nishimura"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-22T22:12:13Z","doi":"10.52731/liir.v006.351","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/j.martra.2025.100141","name":"Creating a digital twin platform for maritime decarbonization by AI-assisted CII measure prediction: A case of chemical tanker","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.martra.2025.100141","authors":["Hadi Taghavifar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-11T00:53:39Z","doi":"10.1016/j.martra.2025.100141","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/ccdc65474.2025.11090452","name":"Digital Twin Driven Energy Management for Offshore Wireless Communication Base Stations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc65474.2025.11090452","authors":["Cheng Ren","Juan Huang","Yichen Li","Xi Yao","Wenbin Yu","Xinping Guan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-05T18:00:15Z","doi":"10.1109/ccdc65474.2025.11090452","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00017-x","name":"Lightweight and privacy preserving authentication protocol for sensitive data transmission in smart healthcare applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00017-x","authors":["Vincent Omollo Nyangaresi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:48:39Z","doi":"10.1016/b978-0-443-34174-8.00017-x","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/wsc68292.2025.11338972","name":"Integrating Expert Trustworthiness Into Digital Twin Models Extracted from Expert Knowledge and Internet of Things Data: A Case Study in Reliability","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11338972","authors":["Michelle Jungmann","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11338972","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/vcc67261.2025.11351199","name":"TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vcc67261.2025.11351199","authors":["Almustapha A. Wakili","Adamu Hussaini","Abubakar A. Musa","Woosub Jung","Wei Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-27T04:49:33Z","doi":"10.1109/vcc67261.2025.11351199","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.36680/j.itcon.2025.058","name":"From Competency Mapping to Digital Twin Integration: Developing a Next-Gen Digital Project Manager Model for Smart Construction","source":"crossref","abstract":"The digital transformation of the construction industry has outpaced the evolution of traditional project management competency frameworks, leaving many Project Managers (PMs) underprepared to meet the demands of emerging technologies such as Digital Twins (DTs). This study develops and validates a Next-Gen Digital PM Competency List tailored to the Smart Built Environment (SBE) through a structured two-stage methodology. Stage 1 applied a three-phase process comprising (1) a Systematic Literature Review (SLR), (2) NVivo-based thematic analysis, and (3) Large Language Model (LLM)-driven synthesis. These phases identified, categorised, and defined 55 digital PM competencies, systematically organised into Skills, Knowledge, and Core Personality Traits. Stage 2 evaluates the practical relevance of these competencies by mapping them against six thematic functional requirements of DTs, including interoperability and integration, real-time data management, simulation and predictive modelling, cybersecurity and data governance, stakeholder collaboration, and scalability and lifecycle continuity. DTs were selected as an exemplar because they integrate multiple digital technologies, Building Information Modelling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing, making them a representative test case for evaluating competency alignment in digital transformation. The mapping confirmed strong alignment in digital integration and collaboration while exposing gaps in cybersecurity readiness and lifecycle resilience. The resulting framework provides a validated reference for competency benchmarking, targeted training, and digital leadership development. By equipping PMs with the competencies to lead, manage, and support digitally enabled projects, this research contributes directly to advancing smart and sustainable construction practices in the digital built environment.","url":"https://doi.org/10.36680/j.itcon.2025.058","authors":["Omar A. Owais","Mani Poshdar","Ali GhaffarianHoseini","Fei Ying","Kamal Jaafar","Saad Sarhan","Moslem Sheikhkhoshkar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-17T11:18:31Z","doi":"10.36680/j.itcon.2025.058","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/icsa-c65153.2025.00050","name":"Business Process Lifecycle Enhancement via Digital Twin and Model-Driven Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsa-c65153.2025.00050","authors":["Samuele Giussani","Diego Perez-Palacin","Mauro Caporuscio","Farid Edrisi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T17:43:38Z","doi":"10.1109/icsa-c65153.2025.00050","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/swc65939.2025.00248","name":"An Open-Source Digital Twin Framework for Enhanced Energy Management: The Campus Heartbeat Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc65939.2025.00248","authors":["Luke Richard Macy","Jian Gong","Aysegul Demir Dilsiz","Almountassir Aljazwe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-20T21:14:29Z","doi":"10.1109/swc65939.2025.00248","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.2316/j.2025.203-0621","name":"APPLICATION RESEARCH OF DIGITAL TWIN TECHNOLOGY IN REAL-TIME INSPECTION AND MONITORING OF POWER EQUIPMENT, 111-117.","source":"crossref","abstract":"","url":"https://doi.org/10.2316/j.2025.203-0621","authors":["Chenjiao Bai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-18T08:52:35Z","doi":"10.2316/j.2025.203-0621","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/idciot64235.2025.10915028","name":"A Comprehensive Survey on Enhancing Digital Twin Security Systems with Explainable AI Techniques","source":"crossref","abstract":"","url":"https://doi.org/10.1109/idciot64235.2025.10915028","authors":["B. Lalithadevi","S. Krishnaveni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-13T17:35:20Z","doi":"10.1109/idciot64235.2025.10915028","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1109/iv64158.2025.11097711","name":"Infrastructure Based Detection, Tracking and Modelling of Traffic Participants for Realistic Digital Twin Representation and Behavior Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iv64158.2025.11097711","authors":["Mihai Kocsis","Erik Heinrich","Florian Schnepf","Raoul Zöllner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-06T17:54:55Z","doi":"10.1109/iv64158.2025.11097711","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:33.559Z"},{"id":"doi:10.1504/ijetp.2025.10073208","name":"Intelligent monitoring method for variable working conditions in intelligent manufacturing systems under digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijetp.2025.10073208","authors":["Yunlong Zhao","Man Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T13:00:31Z","doi":"10.1504/ijetp.2025.10073208","addedAt":"2026-09-01T01:47:33.559Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/wcnc61545.2025.10978545","name":"Digital Twin-Based Health Management for Complex Aircraft Systems: Case Studies and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc61545.2025.10978545","authors":["Chengwei Wang","Ip-Shing Fan","Angelos Plastropoulos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T17:53:33Z","doi":"10.1109/wcnc61545.2025.10978545","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/cost68045.2025.00065","name":"Design of a Coordinated Control System for Flying Bars Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cost68045.2025.00065","authors":["Huiqin Wang","Huiya Cao","Louyawen Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-02T18:46:20Z","doi":"10.1109/cost68045.2025.00065","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/isoirs65690.2025.11168064","name":"Digital Twin System Framework for Large Free Forging Hydraulic Press","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isoirs65690.2025.11168064","authors":["Shizhong Wei","Jiacheng Wei","Hao Li","Guizhong Xie","Ji Zhang","Baoning Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-26T17:34:53Z","doi":"10.1109/isoirs65690.2025.11168064","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/eee64897.2025.11162870","name":"Research on the Conceptual Components and Technical Architecture of Digital Twin Battlefield","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eee64897.2025.11162870","authors":["Weimin Lang","Zhe Chen","Weihu Zhao","Haiyan An"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-22T17:42:29Z","doi":"10.1109/eee64897.2025.11162870","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/smc58881.2025.11343200","name":"Building a Digital Twin Image of a Layered Architecture for Multi-Plant Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smc58881.2025.11343200","authors":["Antonio Iannaccone","Francesco Adinolfi","Dario Chianetta","Luigi Romano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-28T20:54:44Z","doi":"10.1109/smc58881.2025.11343200","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1061/9780784486115.017","name":"A Digital Twin-Based Framework for Intelligent Operation and Maintenance of Urban Bridges","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486115.017","authors":["Zhe Sun","Shengyao Liu","Zhansheng Liu","Guangming Wang","Tianlei Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-11T11:01:46Z","doi":"10.1061/9780784486115.017","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1016/j.sasc.2025.200379","name":"Optimization of automated guided vehicle scheduling model based on hybrid genetic algorithm and digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sasc.2025.200379","authors":["Li Liu","Yu Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-18T09:50:11Z","doi":"10.1016/j.sasc.2025.200379","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/srse67406.2025.11357319","name":"Reliability Enhancement Testing for High-Lift Products Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/srse67406.2025.11357319","authors":["Yiping Liu","Zhiyuan Hu","Yidong Wang","Wei Dai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-28T20:57:55Z","doi":"10.1109/srse67406.2025.11357319","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1117/12.3056085","name":"The digital twin framework of skin reflectance spectrum for visual perception","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3056085","authors":["Boyang Ji","Zongze Huo","Shuai Xia","Shibing Wang","Zhiyong Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-20T00:24:21Z","doi":"10.1117/12.3056085","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.70593/978-93-49910-35-5_6","name":"Achieving real-time operational visibility using industrial IoT and digital twin technology","source":"crossref","abstract":"In today’s fast-paced and competitive business environment, achieving operational excellence is of key concern for organizations; this is especially true in industries such as manufacturing, oil and gas, and utilities whereby cost control, productivity, and product quality are critical success factors. Operational visibility is essential to achieving operational excellence. When we talk about operational visibility, we mean the ability to see the end-to-end process, the flow of material, information, and energy across multiple functions, departments, organizations, and enabling systems. It is difficult to achieve and sustain operational visibility as operations are often supported by a variety of disparate systems, are multi-faceted and data-intensive, traverse organizational boundaries, and are dynamic and continually changing.","url":"https://doi.org/10.70593/978-93-49910-35-5_6","authors":["Raviteja Meda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T09:47:48Z","doi":"10.70593/978-93-49910-35-5_6","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/icc52391.2025.11161100","name":"Cost-Effective Mobility-Aware Multi-Connectivity Scheme for Physical-to-Virtual Communications in Digital Twin Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc52391.2025.11161100","authors":["Samuel D. Okegbile","Jun Cai","Attahiru S. Alfa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-26T17:34:55Z","doi":"10.1109/icc52391.2025.11161100","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/mlsd65526.2025.11220692","name":"Development of a Digital Twin for Epidemic Prevention Processes in a Smart City","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mlsd65526.2025.11220692","authors":["Ivan Lankin","Aleksey Bogomolov","Sergey Fursov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-04T18:34:22Z","doi":"10.1109/mlsd65526.2025.11220692","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/comp-sif65618.2025.10969863","name":"Advanced Digital Twin and Machine Learning Technique for Sustainable Bridge Safety","source":"crossref","abstract":"","url":"https://doi.org/10.1109/comp-sif65618.2025.10969863","authors":["Ramesh Kumar Pannerselvam","Sarada Bandi","Sree Datta D"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T17:31:11Z","doi":"10.1109/comp-sif65618.2025.10969863","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1145/3745238.3745280","name":"Research on the Construction Process of Digital Twin Maturity Evaluation Model","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3745238.3745280","authors":["Yapeng Li","Fengfeng Wang","Qi Chen","Maogen Su","Pingan Xiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-31T14:08:09Z","doi":"10.1145/3745238.3745280","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/978-3-032-09040-9_9","name":"Digital Twin for Datacenter: HPC4AI UniTO Case Study","source":"openalex","abstract":"Abstract The HPC4AI (High-Performance Computing for Artificial Intelligence) datacenter at the University of Turin’s Computer Science Department was established to meet the rapidly growing computational demands of interdisciplinary AI research. HPC4AI innovates by redefining the traditional roles of Cloud and High-Performance Computing (HPC) systems, where the Cloud provides a modern interface for HPC, and HPC acts as an accelerator for Cloud applications. To date, it has supported over 40 research projects spanning diverse fields such as astronomy, medicine, and human sciences. Additionally, HPC4AI serves as a research and development platform for exploring, developing, and testing novel datacenter technologies. It features a variety of experimental computing platforms and the first prototype of a two-phase evaporative server cooling system. This work outlines the operational management of HPC4AI, highlighting challenges, lessons learned, and key opportunities related to digital twins for datacenters.","url":"https://doi.org/10.1007/978-3-032-09040-9_9","authors":["Viviana Vaccaro","Robert Birke","Silvia Meschini","Lavinia Chiara Tagliabue","Sergio Rabellino","Pablo Vicente Legazpi","Marco Andinucci","Marco Aldinucci"],"tags":["Cloud computing","Variety (cybernetics)","Computer science","Key (lock)","Interface (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-27","doi":"10.1007/978-3-032-09040-9_9","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1109/peeec67807.2025.00042","name":"Integrated Design Method of Transformer Digital Twin System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peeec67807.2025.00042","authors":["Dan Luo","Jing Wang","Xubin Hu","Qixiang Yan","Yi Xiao","Wei Hou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T19:50:30Z","doi":"10.1109/peeec67807.2025.00042","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ciacon65473.2025.11189434","name":"Digital Twin-Based Real-Time Industrial Monitoring and Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ciacon65473.2025.11189434","authors":["P Sankar","Vallikannu R","Siva Charulatha","Pratyush Kumar","P Anil Kumar","Suraj Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-09T17:51:17Z","doi":"10.1109/ciacon65473.2025.11189434","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/iccmc65190.2025.11139913","name":"Intelligent Waste Management System using Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccmc65190.2025.11139913","authors":["Velumani Thiyagarajan","L Jaya Singh Dhass","Vensila C","Ben M. Jebin","Seethalakshmy Anantharaman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-04T18:17:01Z","doi":"10.1109/iccmc65190.2025.11139913","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/asim67379.2025.11512936","name":"Research on Thermal Error Prediction of CNC Machine Tool Spindles Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asim67379.2025.11512936","authors":["Ruixin Wang","Weifang Chen","Zipeng Gu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T02:41:37Z","doi":"10.1109/asim67379.2025.11512936","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/iccworkshops67674.2025.11162277","name":"Quantum DRL for UAV-RIS-aided Maritime Communications with 6G Digital Twin Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops67674.2025.11162277","authors":["Sasinda C. Prabhashana","Dang Van Huynh","Trung Q. Duong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-22T17:42:25Z","doi":"10.1109/iccworkshops67674.2025.11162277","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1016/j.dibe.2025.100781","name":"Digital twin-enabled BIM-blockchain integration for automated and transparent construction progress payments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dibe.2025.100781","authors":["Yuxing Wu","Zhou Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-15T19:18:08Z","doi":"10.1016/j.dibe.2025.100781","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/cost68045.2025.00062","name":"An Innovative Design Framework for the Manchu Cultural Industry Driven by Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cost68045.2025.00062","authors":["Yuxin Zhao","Nuo Pang","Linlin Ge"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-02T18:46:20Z","doi":"10.1109/cost68045.2025.00062","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/wf-iot64238.2025.11270563","name":"Federated ECG Classification with Digital Twin Orchestration and Entropy-Based Client Selection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wf-iot64238.2025.11270563","authors":["Pietro Zema","Chiara Suraci","Antonella Molinaro","Giuseppe Araniti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T18:38:54Z","doi":"10.1109/wf-iot64238.2025.11270563","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/swc65939.2025.00259","name":"BIM-Aided Digital Twin of Long-Span Pratt Truss Modeling and GNSS Displacement Monitoring for Bridge Lifecycle Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc65939.2025.00259","authors":["Elfrido Elias Tita","Gakuho Watanabe","Yushi Tomoeda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-20T21:14:29Z","doi":"10.1109/swc65939.2025.00259","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ic-icee66522.2025.11200452","name":"Multi-Domain and Multi-Scale Digital Twin Dynamic Modeling for Intelligent Workshop State Awareness","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ic-icee66522.2025.11200452","authors":["Xinning Liu","Yingnan Fan","Jiannan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T17:07:27Z","doi":"10.1109/ic-icee66522.2025.11200452","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.12783/shm2025/37547","name":"Development of a Structural Monitoring System for the Digital Twin of the Hull Structure of an Ore Carrier","source":"crossref","abstract":"Ship structures are constantly subjected to wave loads and the excessive loads or repetitive loads increase a risk of failure. To avoid economic and environmental losses caused by the failure of ship structures, ship manoeuvring, maintenance, and design decisions are made so that the stress due to loads acting on the hull does not exceed the strength of the structure. However, because there is uncertainty in both the stress and the strength, there is the potential for safety and economics to be compromised. One solution to reduce the uncertainty is a digital twin that provides stress information at areas of interest in the ship structure in cyber space. In general, a digital twin is an integrated model that accurately reconstructs the state of a physical object based on sensing data measured in physical space and digital models that simulate the behavior of physical objects. Stress monitoring of the ship structure, including unmeasured parts, using the digital twin helps crews, shipping companies, and other stakeholders make rational decisions based on the situation. In this study, we developed a structural monitoring system for digital twins of ship structures with the aim of improving the safety and economic efficiency of ships. This system reconstructs and show the stress due to wave loads in a whole area of the hull structure. We developed a measurement module to obtain strain data from an interrogator of fiber optic sensors, an analysis module to calculate the stress at areas of interest based on the strain data and the Kalman filter, and a visualizing module with the graphical user interface (GUI) to show the stress of the hull structure, including the unmeasured parts. The analysis module also counts stress continuously and estimates the cumulative fatigue damage. These modules were integrated to form into the structural monitoring system for a digital twin. The structural monitoring system was implemented on an ore carrier in February 2023 and has been continuously operated without any serious troubles. In this paper, we introduce the modules with related technologies and the structural monitoring system with monitoring and operating data. This works is expected to provide valuable insights for building a digital twin for ship structures.","url":"https://doi.org/10.12783/shm2025/37547","authors":["KOHEI MIKAMI","HIDEAKI MURAYAMA"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-19T20:59:44Z","doi":"10.12783/shm2025/37547","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1016/j.apenergy.2025.125375","name":"Online behavioral matching for proton exchange membrane water electrolyzers: A digital twin approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2025.125375","authors":["Shaojie Liu","YangQuan Chen","Yongdong Wang","Donghai Li","Min Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-29T17:42:27Z","doi":"10.1016/j.apenergy.2025.125375","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ecce-europe62795.2025.11238686","name":"A SUMO-Based Digital Twin for Evaluation of Conventional and Electric Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecce-europe62795.2025.11238686","authors":["Haomiaomiao Wang","Conor Fennell","Swati Poojary","Mingming Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-25T18:26:49Z","doi":"10.1109/ecce-europe62795.2025.11238686","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ftcs68006.2025.11405775","name":"Mamba Deep Learning-Based Intelligent Energy Consumption Regulation and Sustainable Design for Digital Twin Office Spaces","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ftcs68006.2025.11405775","authors":["Feng Wang","Jiali Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-03T20:49:35Z","doi":"10.1109/ftcs68006.2025.11405775","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ciees66347.2025.11300246","name":"Integration of Digital Twin and AI-enabled ERP Systems: A Conceptual Framework for Intelligent Electronics Manufacturing Services","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ciees66347.2025.11300246","authors":["Subhajit Paul"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-25T18:24:53Z","doi":"10.1109/ciees66347.2025.11300246","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.5220/0012914200003822","name":"Asset Administration Shell Digital Twin of 5G Communication System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012914200003822","authors":["Salvatore Cavalieri","Raffaele Di Natale","Salvatore Gambadoro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T22:41:22Z","doi":"10.5220/0012914200003822","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.23919/ccc64809.2025.11179662","name":"Adaptive Adjustment of Key Parameters in a Digital Twin Environment for Sim-to-Real Applications","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc64809.2025.11179662","authors":["Mengmeng Chen","Hongchao Zeng","Yangxin Xu","Suoding Guo","Shaoxin Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-10T17:34:54Z","doi":"10.23919/ccc64809.2025.11179662","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/telepe66277.2025.00066","name":"Advancing Quality Management in Smart Wind Power Construction Projects Through Digital Twin and IoT Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/telepe66277.2025.00066","authors":["Fang Wang","Hengyang Li","Qiushuang Xie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-04T18:35:03Z","doi":"10.1109/telepe66277.2025.00066","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/s10207-025-01115-y","name":"Bridging cybersecurity with digital twin technology: a thematic analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10207-025-01115-y","authors":["Krishnashree Achuthan","Brij B. Gupta","Raghu Raman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-14T19:20:10Z","doi":"10.1007/s10207-025-01115-y","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.31328/ciastech.v7i1.6912","name":"HR DIGITAL TWIN: CREATING DIGITAL EMPLOYEE REPLICATION TO ENHANCE HUMAN RESOURCE MANAGEMENT","source":"crossref","abstract":"Dalam era transformasi digital, manajemen sumber daya manusia menghadapi tantangan dan peluang baru yang kompleks. Konsep HR Digital Twin muncul sebagai solusi inovatif untuk meningkatkan efisiensi dan efektivitas dalam pengelolaan SDM. Penelitian ini mengeksplorasi penerapan teknologi digital twin dalam menciptakan replika digital yang dinamis dan adaptif dari karyawan, yang dapat mengubah praktik manajemen SDM secara fundamental. Tujuan utama penelitian ini adalah memahami bagaimana teknologi digital twin dapat memodelkan perilaku, kompetensi, dan dinamika karyawan dalam lingkungan virtual, serta mengeksplorasi dampaknya terhadap pengambilan keputusan strategis dan operasional SDM. Penelitian ini menggunakan pendekatan post-qualitative, yang menekankan hubungan erat antara teknologi, manusia, dan konteks organisasi. Data dikumpulkan tidak hanya mengandalkan wawancara atau observasi terstruktur, melainkan juga menggunakan berbagai sumber data yang bersifat dinamis dan interaktif. Hasil penelitian menunjukkan bahwa penggunaan digital twin memungkinkan perusahaan melakukan analisis prediktif, mempersonalisasi pengembangan karyawan, dan mengoptimalkan alokasi sumber daya. Kesimpulan utama dari penelitian ini adalah bahwa teknologi digital twin memiliki potensi besar untuk merevolusi manajemen SDM melalui penyediaan wawasan real-time yang akurat dan mendalam tentang kinerja serta pengembangan karyawan. Penelitian ini berkontribusi dalam memberikan perspektif baru tentang penggunaan teknologi canggih dalam praktik SDM dan membuka peluang penelitian lebih lanjut mengenai hubungan yang berkembang antara teknologi, agensi manusia, dan dinamika organisasi.","url":"https://doi.org/10.31328/ciastech.v7i1.6912","authors":["Choirul Anam","Mega Fianita Fadilah","Widiya Rahmawati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-14T05:49:01Z","doi":"10.31328/ciastech.v7i1.6912","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/978-3-031-58523-4_6","name":"DT-AXYOLOV5: An Efficient Digital Twin–Assisted Deep-Learning-Based Blockchain Framework for Patient Discomfort Detection in Smart Healthcare System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_6","authors":["J. Antony Vijay","C. D. Premkumar","P. Revathi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-26T21:01:51Z","doi":"10.1007/978-3-031-58523-4_6","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/icidea64800.2025.10963330","name":"A Review on Digital Twin Integration in Hybrid Microgrids: Challenges, Opportunities, and Innovations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icidea64800.2025.10963330","authors":["Buddhadeva Sahoo","Subhransu Ranjan Samantaray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-22T17:37:25Z","doi":"10.1109/icidea64800.2025.10963330","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/cars67163.2025.11337622","name":"Classical vs. End-to-End Learning Approaches to Robot Pathfinding in Digital Twin Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cars67163.2025.11337622","authors":["Miguel Gapud","George W. Clark","J. Todd McDonald","Na. Gong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-21T21:06:15Z","doi":"10.1109/cars67163.2025.11337622","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/s12273-025-1290-2","name":"A digital twin platform for building performance monitoring and optimization: Performance simulation and case studies","source":"crossref","abstract":"Abstract Advancements in sensor technology, data analytics, affordable compute, and communication infrastructure have paved the way for Digital Twin technology in optimizing building operations and controls. This study presents the development of an open and interoperable web-based Digital Twin platform for integrating diverse data streams and facilitating effective user interactions. The platform utilizes modern technologies for the web framework and time-series data management, ensuring scalability and responsiveness. The backend supports seamless integration of diverse data sources and emulators, incorporating data from building sensors and meters, external weather Application Programming Interfaces, and advanced EnergyPlus simulation models of the building and its energy systems including the Distributed Energy Resources that are formulated in Functional Mockup Units. A simulation case study was conducted with FlexLab, a test facility on Lawrence Berkeley National Laboratory campus. The case study includes normal operations, Distributed Energy Resource integration, and power outage scenarios, to illustrate the Digital Twin’s ability to provide critical insights into energy performance and thermal resilience. The results demonstrated the platform’s potential as a decision-support tool for optimizing building energy performance and enhancing resilience against extreme weather events. Future work will focus on deploying the Digital Twin platform to a real building for field validation, extending its capabilities to cover more scenarios such as bidirectional Electric Vehicle interactions, and enhancing user engagement.","url":"https://doi.org/10.1007/s12273-025-1290-2","authors":["Han Li","Tianzhen Hong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-13T10:49:45Z","doi":"10.1007/s12273-025-1290-2","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.12688/digitaltwin.17734.1","name":"Data-driven modeling in digital twin for power system anomaly detection","source":"crossref","abstract":"Background: Power system anomaly detection is of great significance for realizing system situation awareness and early detection of system operating risks. In view of the complex operating conditions of the system, there are a large number of opaque links in the mechanism, and the anomaly detection approach based on physical mechanism modeling is prone to system errors due to assumptions, simplification, and transfer in the modeling process. This paper focuses on digital twin based data-driven approaches for power system anomaly detection to compensate for the limitation of physical methods in dynamical modeling. Methods : First of all, a digital twin framework for power system real-time analysis is constructed based on the concept of digital twin. Then, this paper conducts researches on the core of the designed framework, i.e., digital twin modeling. Considering the complexity of power system operating conditions, data-driven modeling is preferred and a random matrix and free probability theory based model for anomaly detection of system operating situation is constructed. Results: Simulation data with different spatiotemporal structure generated through a Monte Carlo experiment verified the sensitivity of the constructed model for data correlations. Meanwhile, the case on the system operating data generated through the IEEE 118-bus system validate the effectiveness of the proposed model for the system anomaly detection. Conclusions: The constructed data-driven model can accurately characterize the correlations among data elements, has good sensitivity to the variation of data spatial and temporal correlations, and can depict the data residuals better than the M-P law curve, which indicates the practicability and necessity of the constructed data-driven model for the digital twin modeling of power system anomaly detection.","url":"https://doi.org/10.12688/digitaltwin.17734.1","authors":["Xin Shi","Fang Fang","Robert Qiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-11T03:00:08Z","doi":"10.12688/digitaltwin.17734.1","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/978-3-032-09040-9_11","name":"Building Digital Twin – Digitalisation of the Thermo-accumulator Used for the Building’s Heating","source":"crossref","abstract":"Abstract When creating a digital twin of a building, all engineering system devices within the building must be digitised and integrated into the numerical model. This research focused on describing the processes occurring in a heat storage system, which was designed to accumulate heat during the summer period and utilise it by the building’s heating during the cold period. This is a long-term acting heat storage system with a soil-type filler. Several stages of the thermal energy storage system operation were distinguished: charging, discharging, and heat retention. During all these processes, heat exchange with the environment occurs. Typically, it is heat loss to the environment. Experimental research was performed in field conditions to analyse the mentioned processes. After each charge, the heat was dissipated in the soil volume. The output signals of the sensors were recorded and analysed. It was noticed that two temperature measurement sensors are necessary to estimate the type of work regime and charge or discharge intensity. More sensors are needed to determine the amount of stored energy more accurately. Creating a validated numerical model and comparing measured temperatures with simulated values at the same points enables a highly accurate assessment of the stored energy in the accumulator, as well as the description and forecast of parameter changes. By integrating the numerical model of the accumulator into the building’s digital twin and combining it with building engineering systems models, it is possible to enhance the efficiency of the building’s engineering systems and reduce energy consumption.","url":"https://doi.org/10.1007/978-3-032-09040-9_11","authors":["Tadas Zdankus","Rao Martand Singh","Lazaros Aresti","Juozas Vaiciunas","Sandeep Bandarwadkar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-27T15:07:05Z","doi":"10.1007/978-3-032-09040-9_11","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/codit66093.2025.11321508","name":"Enhancing Digital Continuity and Interoperability in Building Energy Management: A Digital Twin Approach with Large Language Models\n                    <sup>*</sup>","source":"crossref","abstract":"","url":"https://doi.org/10.1109/codit66093.2025.11321508","authors":["F. Ababsa","Z. Zheng","E. Yahya","E. Farazdaghi","R. El Meouche","S. Marie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-14T20:36:48Z","doi":"10.1109/codit66093.2025.11321508","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.66408/dfbi.2025.2585","name":"An Information Integration Platform for Visualizing Campus Sustainability with Digital Twin—A Case Study of National Taiwan University","source":"crossref","abstract":"Universities are increasingly expected to demonstrate social responsibility and reduce environmental impacts as part of their commitment to sustainable development. However, the complexity and diversity of campus facilities and stakeholders make managing sustainability initiatives a significant challenge. Digital dashboards have emerged as effective tools for monitoring environmental performance, identifying issues, and enhancing communication among stakeholders. Despite their potential, the development and implementation of such dashboards are often hampered by fragmented data collection, integration, and management across various administrative units and user groups. This study addresses these challenges by proposing a robust system framework designed to streamline data management and support the visualization of campus sustainability efforts. Using National Taiwan University as a case study, we developed an information integration platform capable of organizing, integrating, and managing a wide range of general and environmental data types from multiple sources. The platform’s multi-level data structure and user management modules enable tailored access and visualization for different stakeholders, strengthening data governance and fostering a culture of information sharing. Ultimately, the proposed framework contributes to a more sustainable and transparent campus environment, supporting strategic decision-making and advancing the university’s sustainability goals.","url":"https://doi.org/10.66408/dfbi.2025.2585","authors":["Yun-Tsui Chang","Tzhong-Hann Wu","Shang-Hsien Hsieh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T08:42:20Z","doi":"10.66408/dfbi.2025.2585","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5211260","name":"Multi-Source Information Fusion Based Infrared Monitoring by Adding Noise for Thermal-Field Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5211260","authors":["Ruiying Xiao","Zhiqiang Gong","Wen Yao","Hanning Wang","Yupo Ma","Weien Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-09T15:37:21Z","doi":"10.2139/ssrn.5211260","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.71317/computex.1.4.2025.125","name":"Digital Twin Models for Simulation and Optimization of Processes","source":"crossref","abstract":"Digital twin models represent a novel technology of simulating, monitoring and optimization of complex processes in many industries. Digital twin is a virtual image of an actual world system, which has capabilities to combine real-time data, predictive analytics, as well as streamline the processes. Digital twins enable companies to test and anticipate failure, enhance the effectiveness of operations and connect the real world with the digital world without disrupting the operation in real life. This paper will address how digital twins models are used in the process simulation and optimization processes, and how they can be applied to predictive maintenance, resource distribution and decision support. Through the aid of a mixed-method approach, the paper reviews case studies and empirical evidence to find out the effectiveness of digital twins in the process of improvement. The findings reveal that the digital twin models have the potential to substantially increase the visibility of the processes, reduce the cost of operation and also increase the accuracy of the decisions. The implementation issues, including the data integration, computational requirements, and scalability of the system, are also taken into consideration in the research and provide the insight into the best practices in the implementation of the digital twin technology.","url":"https://doi.org/10.71317/computex.1.4.2025.125","authors":["Daniyal Zaheer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-17T09:20:42Z","doi":"10.71317/computex.1.4.2025.125","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.36922/gti025330013","name":"AI-driven digital twin for uncertainty-aware structural health monitoring of\n            offshore wind turbines considering biofouling effects and reliability prediction","source":"crossref","abstract":"","url":"https://doi.org/10.36922/gti025330013","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T10:42:42Z","doi":"10.36922/gti025330013","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.62051/ebemay39","name":"Digital Twin for Smart Buildings: Enabling Technologies, Lifecycle Applications, and Emerging Frontiers","source":"crossref","abstract":"Digital Twin (DT) is an advanced evolution of Building Information Modeling (BIM) that allows interactive data management throughout the life cycle of smart buildings. This systematic review aims to argue that the evolution from static BIM to interactive DTs can be described in five evolutionary stages due to the breakthroughs in data protocols, rendering, and interaction modalities. Furthermore, by leveraging IoT, real-time analytics, and AI, DTs can improve the simulation, monitoring, and optimization of the building's life cycle in the design, construction, and operation stages. This systematic review investigates the technological evolution from static BIM to interactive digital twins and discusses the supporting technologies, including open data protocols, real-time rendering, and immersive interaction modalities. This study also addresses the five main application areas, including collaborative design, construction supervision, and predictive maintenance, and discusses the existing challenges related to data interoperability, model accuracy, and cybersecurity. In the future, breakthroughs in AI, extended reality (XR), scalable platforms, and urban-scale digital twins will drive the development of this field. Looking forward, the review identifies that the combination of AI, extended reality (XR), and scalable platforms will drive the development of this field. Despite existing challenges, this systematic review argues that DTs will become a key enabler of digitalization in the AEC industry to achieve unprecedented levels of efficiency, sustainability, and intelligence.","url":"https://doi.org/10.62051/ebemay39","authors":["Luobing Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T07:09:43Z","doi":"10.62051/ebemay39","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.12732/ijam.v38i7s.500","name":"A DIGITAL TWIN FRAMEWORK FOR INTELLIGENT WATER TREATMENT, QUALITY MONITORING, AND AUTONOMOUS CONTROL","source":"crossref","abstract":"Water scarcity, contamination, and rising operational demands require modern utilities to adopt intelligent and sustainable water management strategies. Conventional Supervisory Control and Data Acquisition (SCADA) systems offer real-time monitoring but lack predictive analytics and autonomous decision-making. To overcome these limitations, this study proposes a comprehensive Digital Twin (DT) framework that integrates Internet of Things (IoT)-based sensing, hybrid physics–machine learning (ML) modeling, and AI-driven control for real-time simulation, predictive optimization, and closed-loop water treatment management. The DT continuously synchronizes with the physical infrastructure, fusing multi-source sensor and laboratory data to model key parameters such as turbidity, pH, and residual chlorine. An AI-based control layer employing Model Predictive Control (MPC) and Reinforcement Learning (RL) autonomously optimizes chemical dosing and energy usage. The framework is validated on a pilot-scale water treatment setup, demonstrating a 74% reduction in RMSE for turbidity prediction, 12% decrease in chemical consumption, and 10% reduction in energy usage, while improving anomaly detection accuracy to 95%. Moreover, the system enhances compliance with SDG 6.1.1 and 6.3.2 indicators by ensuring consistent water quality and operational efficiency. The proposed DT establishesafoundationfornext-generationsmartwatersystemscapable of self-learning, adaptive control, and sustainable performance aligned with global water management goals.","url":"https://doi.org/10.12732/ijam.v38i7s.500","authors":["Vasifa S. Kotwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-22T15:55:46Z","doi":"10.12732/ijam.v38i7s.500","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1115/omae2025-157554","name":"Advanced Sensors and Digital Twin Technology for Reliable Mooring Integrity Assessment Through Physics Based Models","source":"crossref","abstract":"Abstract Offshore mooring systems use chains, wire ropes, and polyester segments to provide seakeeping for floaters. These systems are vulnerable to degradation and failure due to corrosion and fatigue in harsh marine environments. Present day mooring monitoring includes direct and indirect load measurement systems, as well as artificial neural networks (ANNs) for detecting mooring line failures. Direct load measurement systems (e.g., load cells) interfere with mooring line action, are expensive, difficult to maintain, and are often unreliable. Indirect load measurement systems, such as inclinometers, which measure the shape of mooring lines, overcome these shortcomings and are more reliable. ANN-based monitoring systems are useful for detecting line failures after the fact but require considerable training with simulated inputs to be effective. As the offshore renewable energy sector expands, particularly with floating offshore wind turbines (FOWTs), there is an increasing demand for more reliable, cost-effective, and proactive monitoring solutions. This paper presents the latest advances in a physics-based Mooring Condition Monitoring System (MCMS) that offers a scalable and cost-effective solution for real-time mooring integrity assessment. The system utilizes reliable sensors, including Global Positioning System (GPS) and Motion Reference Unit (MRU), that collect data without interfering with operations. Advanced analytics and Digital Twin Technology create a near real-time digital replica of the mooring system, enabling remote monitoring and proactive maintenance. The MCMS integrates a quasi-static mooring model of the system, incorporating corrosion and creep effects. In this study, the MCMS is applied to the operational data from Hywind Scotland Pilot Park, world’s first commercial floating-wind farm to predict mooring line responses.","url":"https://doi.org/10.1115/omae2025-157554","authors":["Suvabrata Das","Hossein Agheshlui","Soma S. Maroju"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-21T18:55:37Z","doi":"10.1115/omae2025-157554","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1115/omae2025-156248","name":"The Mooring Digital Twin: Fatigue and Integrity Monitoring to Support Life Extension","source":"crossref","abstract":"Abstract Operators of floating production facilities must demonstrate their mooring systems are fit for service throughout operational life. When seeking life extension, the mooring system must be reassessed considering its present condition, load history, and forecast degradation. Given the significant CAPEX of mooring replacements or repairs, accurate assessment of fatigue loading and resistance, including the influence of degradation mechanisms such as corrosion and wear, is often crucial for the viability of extending the operating life of the facility using the existing moorings. This paper presents the application of a mooring digital twin to leverage operational data for both justifying mooring system life extension and implementing continuous integrity monitoring, in the absence of direct mooring line monitoring. The resulting system addresses Classification Society requirements while providing assurance on long-term system integrity. Hosted on the online SMIC platform, the digital twin approach combines detailed numerical analysis with vessel position and motion data, environmental measurements, and operational records such as vessel loading data and inspection data to create a virtual representation of the mooring system’s fatigue utilization. This enables a more accurate prediction of fatigue load duty compared to numerical simulations and provides a framework for continuous fatigue monitoring. A parallel application of mooring integrity monitoring, using the vessel position data to detect possible mooring failures, was also deployed on the same digital twin platform. Applied to OMV’s FPSO in New Zealand, the mooring digital twin enabled life extension through the implementation of live monitoring of fatigue duty and potential mooring failures. As direct load monitoring data was not available for this facility, the implementation of continuous fatigue monitoring was based on a multi-dimensional lookup of predicted fatigue damage in the observed operational conditions. Notably, this approach satisfied Classification Society requirements for reduced fatigue factors of safety using reliable operational data. This approach provides operators a pathway to justify life extension while giving Classification Societies, regulatory agencies and insurers greater confidence in ongoing system integrity.","url":"https://doi.org/10.1115/omae2025-156248","authors":["Kanishka Jayasinghe","Adrian Eassom","Clare Thomas","Callum Stevens","Larry Blair"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-21T18:55:05Z","doi":"10.1115/omae2025-156248","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1108/mlag-02-2025-0005","name":"Digital twin applications in geotechnical engineering: a systematic review","source":"crossref","abstract":"Purpose Digital twins (DTs) offer promising advances in geotechnical engineering by improving prediction accuracy, operational efficiency and risk management. However, their adoption in the field remains limited compared to other industries such as manufacturing and civil engineering. This study reviews current DT applications in geotechnical engineering, examining research trends, enabling technologies and key challenges. By identifying gaps and future directions, this study aims to facilitate DT integration into underexplored areas and advance technological capabilities for more data-driven decision-making. Design/methodology/approach A systematic review of DT applications in geotechnical engineering was conducted, analysing publication trends, key research areas and enabling technologies. The study examines the integration of DT with machine learning, real-time data acquisition and interoperability challenges. Findings highlight research gaps and propose strategies for overcoming barriers to adoption, ensuring DTs’ effective application in diverse geotechnical contexts. Findings DT research in geotechnical engineering is fragmented, with most studies focused on tunnelling and slopes, while areas such as soil mechanics remain underexplored. The increasing integration of DT with machine learning is improving predictive capabilities, but challenges such as interoperability, scalable platforms and real-time data acquisition are hindering widespread adoption. Addressing these issues is critical to advancing DT applications and improving geotechnical project outcomes. Originality/value This study provides a structured assessment of DT adoption in geotechnical engineering, identifying key gaps and opportunities. By highlighting the need for interoperable platforms, broader applications and technological advances, it provides insights for researchers and practitioners. Addressing these challenges will help position DTs as transformative tools, enabling more efficient and data-driven geotechnical engineering.","url":"https://doi.org/10.1108/mlag-02-2025-0005","authors":["Yuxin Wang","Alireza Rezaei","Stephen Hicks"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-11T15:53:31Z","doi":"10.1108/mlag-02-2025-0005","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.54097/r7wxj537","name":"Traffic congestion avoidance and evacuation system based on digital twin and IoV","source":"crossref","abstract":"This paper explores the current development of the Internet of vehicles (IoV) and its future potential when combined with digital twin technology. It proposes a traffic congestion evacuation and planning strategy based on digital twins to enhance urban traffic management and prevent congestion. The evacuation strategy is implemented by dynamically adjusting intersection signal light changes, while the traffic planning strategy optimizes vehicle navigation within the IoV system. By leveraging real-time data and simulation capabilities of digital twins, the proposed approach aims to improve traffic flow efficiency and reduce congestion risks. Finally, a case study is conducted to demonstrate the effectiveness and practicality of the proposed method.","url":"https://doi.org/10.54097/r7wxj537","authors":["Zhenghan Song"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-21T08:44:27Z","doi":"10.54097/r7wxj537","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/inventions10060093","name":"AI-Driven Digital Twin for Optimizing Solar Submersible Pumping Systems","source":"crossref","abstract":"Reliable water access in remote and desert-like regions remains a challenge, particularly in areas with limited infrastructure. Solar-powered submersible pumps offer a promising solution; however, optimizing their performance under variable environmental conditions remains a challenging task. This research presents an Artificial Intelligence (AI)-driven digital twin framework for modeling and optimizing the performance of a solar-powered submersible pump system. The proposed system has three core components: (1) an AI model for predicting the inverter motor’s output frequency based on the current generated by the solar panels, (2) a predictive model for estimating the pump’s generated power based on the inverter motor’s output, and (3) a mathematical formulation for determining the volume of water lifted based on the system’s operational parameters. Moreover, a dataset comprising 6 months of environmental and system performance data was collected and utilized to train and evaluate multiple predictive models. Unlike previous works, this research integrates real-world data with a multi-phase AI modeling pipeline for real-time water output estimation. Performance assessments indicate that the Random Forest (RF) model outperformed alternative approaches, achieving the lowest error rates with a Mean Absolute Error (MAE) of 1.00 Hz for output frequency prediction and 1.39 kW for pump output power prediction. The framework successfully estimated annual water delivery of 166,132.77 m3, with peak monthly output of 18,276.96 m3 in July and minimum of 9784.20 m3 in January demonstrating practical applicability for agricultural water management planning in arid regions.","url":"https://doi.org/10.3390/inventions10060093","authors":["Yousef Salah","Omar Shalash","Esraa Khatab","Mostafa Hamad","Sherif Imam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-30T03:44:39Z","doi":"10.3390/inventions10060093","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/agriculture15171799","name":"Application of Digital Twin Technology in Smart Agriculture: A Bibliometric Review","source":"crossref","abstract":"Digital twin technology is reshaping modern agriculture. Digital twins are the virtual replicas of real-world farming systems, which are continuously updated with real-time data, and are revolutionizing the monitoring, simulation, and optimization of agricultural processes. The literature on agricultural digital twins is multidisciplinary, growing rapidly, and often fragmented across disciplines, which lacks well-curated documentation. A bibliometric analysis includes thematic content analysis and science mapping, which provides research trends, gaps, thematic landscape, and key contributors in this continuously evolving and emerging field. Therefore, in this study, we conducted a bibliometric review that included collecting bibliometric data via keyword search strategies on popular scientific databases. The data was further screened, processed, analyzed, and visualized using bibliometric tools to map research trends, landscapes, collaborations, and themes. Key findings show that publications have grown exponentially since 2018, with an annual growth rate of 27.2%. The major contributing countries were China, the USA, the Netherlands, Germany, and India. We observed a collaboration network with distinct geographic clusters, with strong intra-European ties and more localized efforts in China and the USA. The analysis identified seven major research theme clusters revolving around precision farming, Internet of Things integration, artificial intelligence, cyber–physical systems, controlled-environment agriculture, sustainability, and food system applications. We observed that core technologies, such as sensors, artificial intelligence, and data analytics, have been extensively explored, while identifying gaps in research areas. The emerging interests include climate resilience, renewable-energy integration, and supply-chain optimization. The observed transition from task-specific tools to integrated, system-level approaches underline the growing need for adaptive, data-driven decision support. By outlining research trends and identifying strategic research gaps, this review offers insights into leveraging digital twins to improve productivity, sustainability, and resilience in global agriculture.","url":"https://doi.org/10.3390/agriculture15171799","authors":["Rajesh Gund","Chetan M. Badgujar","Sathishkumar Samiappan","Sindhu Jagadamma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-22T15:57:47Z","doi":"10.3390/agriculture15171799","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.54097/pk24wr80","name":"Application of Digital Twin Technology in Mechanical Fault Diagnosis and Prediction","source":"crossref","abstract":"Fault diagnosis and prediction method is an effective method for equipment operation and maintenance management, which is mainly used in aerospace, military equipment and other fields in the early stage. With the continuous development of fault diagnosis and data acquisition and analysis and other related technologies, fault diagnosis and prediction methods are gradually applied in civil aviation, equipment manufacturing and other fields, and further promoted and popularized in many industries. Traditional fault diagnosis and prediction methods include empirical model-based methods, data-driven methods and physical model-based methods. However, these methods have many limitations. With the rise of digital twin technology, the problem processing method of model and data fusion can effectively solve the shortcomings of traditional fault diagnosis and prediction methods, which is a direction of fault diagnosis and prediction method technology development. After studying the related technologies and methods of fault diagnosis and prediction methods, the digital twin technology and its application methods in fault diagnosis and prediction methods are reviewed, and the key problems in the application are summarized and analyzed, and the future development direction of fault diagnosis and prediction methods supported by digital twin is pointed out.","url":"https://doi.org/10.54097/pk24wr80","authors":["Changping Duan","Chengling Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-13T00:05:42Z","doi":"10.54097/pk24wr80","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5758809","name":"A Digital Twin-Enabled Mixed Reality Framework for First-Person Assembly Guidance and Remote Collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5758809","authors":["Xu Gong","xueyi li","Jiyu Liu","Tianyang Wang","Zhilin Dong","Fulei Chu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T12:38:11Z","doi":"10.2139/ssrn.5758809","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.14311/nnw.2025.35.002","name":"Design of a Digital Twin Model for Mobility Management in a Transformed Brownfield Site","source":"crossref","abstract":"Brownfield redevelopment represents a key strategy for sustainable urban transformation, yet mobility management in capacity-constrained industrial campuses remains insufficiently explored. This paper proposes a digital twin framework for corporate mobility management applied to the Česana brownfield in Mladá Boleslav. The model integrates travel demand, behavioural adaptation, infrastructure capacity, and policy scenarios within a dynamic simulation environment. Analyses indicate that coordinated multimodal strategies and incentive mechanisms can significantly reduce car dependency without infrastructure expansion. The framework demonstrates potential as a transferable decision-support tool for mobility planning in industrial brownfield contexts.","url":"https://doi.org/10.14311/nnw.2025.35.002","authors":["Jan Bečvařík","Stanislav Novotný"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T08:25:51Z","doi":"10.14311/nnw.2025.35.002","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2196/76524","name":"Data Inaccessibility Is Stifling the Digital Twin Implementation in Health Care","source":"crossref","abstract":"","url":"https://doi.org/10.2196/76524","authors":["Md Doulotuzzaman Xames"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T15:32:18Z","doi":"10.2196/76524","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1080/27525783.2023.12519293","name":"REVISED Digital twin and contact analysis of ultra-long distance coiled tubing operation structures\n         \t\t\t[version 2; peer review: 1 approved, 3 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519293","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T14:54:42Z","doi":"10.1080/27525783.2023.12519293","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.30560/ijas.v8n4p34","name":"A Ground-Air Collaborative System Based on Digital Twin: Improving Urban Transportation Efficiency","source":"crossref","abstract":"With the development of the low-altitude economy, it is essential to establish a coordinated urban transportation system integrating ground and air resources. Improving urban comprehensive transportation efficiency through technology has become an important topic of urban governance and sustainable development. The development of digital twin technology provides a new technical path for the solution of this problem. As a product of the deep integration of the new generation of information technology and urban governance, Digital twin technology shows great potential for application. This paper will focus on the key links in the ground-air coordination system, Explore the application path and technical support system of digital twin platform in the field of ground-air collaboration, and promote the transformation of transportation system from traditional empirical management to integrated, intelligent and refined direction.","url":"https://doi.org/10.30560/ijas.v8n4p34","authors":["Haitao Yuan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-12T12:21:50Z","doi":"10.30560/ijas.v8n4p34","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/machines13060464","name":"Digital Twin-Driven Condition Monitoring System for Traditional Complex Machinery in Service","source":"crossref","abstract":"Improvement in the intelligence and reliability of traditional complex machinery in service (TCMIS) is a prerequisite to guarantee the safety and stable production of these manufacturing enterprises. Existing studies on condition monitoring of TCMIS typically suffer from an insufficient volume of data, incomplete consideration of issues, low monitoring accuracy, and lack of long-term validity. This paper proposes to utilize Digital Twin (DT) technology to construct a new generation of intelligent condition monitoring systems and take the coal mill of a coal-fired power plant as an example for practical illustration. The results of the study show that the method used in this paper is 96% for fault diagnosis, which is higher than the level in existing studies, and the practical application effect in coal-fired power plants also proves the effectiveness of this study. This study can provide program references for the development of intelligent transformation of TCMIS, and also provide technical support for the application and promotion of DT technology in this field.","url":"https://doi.org/10.3390/machines13060464","authors":["Weiming Yin","Yefa Hu","Guoping Ding","Xuefei Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-27T11:12:57Z","doi":"10.3390/machines13060464","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1201/9781032711515-11","name":"Artificial Intelligence (AI) enabled Digital Twin for Smart Manufacturing","source":"openalex","abstract":"In the era of Industry 4.0, shift towards automation and simulation is seen; and in context of smart manufacturing, most of the processes are dependent on the digital twins and cyber-physical systems. With increase in automation and involvement of advanced technologies, the need to protect the confidentiality and privacy of the huge amount data generated and stored has also increased. This chapter focuses on the risks and challenges involved in an AI-enabled digital twins in smart manufacturing environment with evolving threat landscape and potential vulnerabilities. The challenges of data security in an AI-enabled environment of smart manufacturing are quite in numbers. Addressing data security issues and evolving with the threat landscape is necessary to ensure data privacy and security from outside threats. The digital twin technologies used in smart manufacturing deal with a huge amount of data in real-time. Emphasis is placed on understanding the security implications of dynamic and real-time nature of these systems and challenges faced in it. Furthermore, integration of advanced technologies like machine learning and blockchain for enhanced security along with best security measures and standards are also discussed in the chapter.","url":"https://doi.org/10.1201/9781032711515-11","authors":["Anupriya Bharti","Bramah Hazela","Pallavi Asthana","Shikha Singh"],"tags":["Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-14","doi":"10.1201/9781032711515-11","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"doi:10.3390/machines13010037","name":"Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System","source":"crossref","abstract":"This research article proposes a new method for an enhanced Flexible Manufacturing System (FMS) using a combination of smart methods. These methods use a set of three technologies of Industry 4.0, namely Artificial Intelligence (AI), Digital Twin (DT), and Wi-Fi-based indoor localization. The combination tackles the problem of asset tracking through Wi-Fi localization using machine-learning algorithms. The methodology utilizes the extensive “UJIIndoorLoc” dataset which consists of data from multiple floors and over 520 Wi-Fi access points. To achieve ultimate efficiency, the current study experimented with a range of machine-learning algorithms. The algorithms include Support Vector Machines (SVM), Random Forests (RF), Decision Trees, K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN). To further optimize, we also used three optimizers: ADAM, SDG, and RMSPROP. Among the lot, the KNN model showed superior performance in localization accuracy. It achieved a mean coordinate error (MCE) between 1.2 and 2.8 m and a 100% building rate. Furthermore, the CNN combined with the ADAM optimizer produced the best results, with a mean squared error of 0.83. The framework also utilized a deep reinforcement learning algorithm. This enables an Automated Guided Vehicle (AGV) to successfully navigate and avoid both static and mobile obstacles in a controlled laboratory setting. A cost-efficient, adaptive, and resilient solution for real-time tracking of assets is achieved through the proposed framework. The combination of Wi-Fi fingerprinting, deep learning for localization, and Digital Twin technology allows for remote monitoring, management, and optimization of manufacturing operations.","url":"https://doi.org/10.3390/machines13010037","authors":["Asif Ullah","Muhammad Younas","Mohd Shahneel Saharudin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-07T10:45:55Z","doi":"10.3390/machines13010037","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.46254/eu08.20250220","name":"A Digital Twin for Air Cargo Ground Operations:Connecting the Real with the Virtual","source":"crossref","abstract":"","url":"https://doi.org/10.46254/eu08.20250220","authors":["Jenny Tonka","Michaël Schyns"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T14:49:38Z","doi":"10.46254/eu08.20250220","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.67228/30715636/ijetmr-2025pii4m2q","name":"AI-Driven Digital Twin Architecture for Healthcare Infrastructure Resilience","source":"crossref","abstract":"The rapid growth of digital technologies, connected medical devices, cloud-based healthcare platforms, and intelligent clinical systems has increased the complexity of healthcare infrastructure. Although these technologies improve patient care and operational efficiency, healthcare organizations continue to face challenges such as equipment failures, cyber threats, resource shortages, patient surges, and operational disruptions. Traditional maintenance and monitoring methods are often inadequate for real-time infrastructure management. Artificial Intelligence (AI) and Digital Twin technologies provide an effective solution by enabling real-time monitoring, predictive maintenance, resource optimization, and intelligent decision support. A Digital Twin creates a virtual model of healthcare infrastructure that continuously synchronizes with data from IoT devices, electronic health records, hospital systems, and medical equipment. This paper proposes an AI-powered Digital Twin architecture consisting of four modules: Healthcare Data Acquisition and Integration, Digital Twin Modeling, AI-Based Predictive Analytics, and Infrastructure Optimization. The framework analyzes real-time data to predict equipment failures, optimize maintenance, assess infrastructure risks, and improve operational resilience through continuous synchronization between physical and virtual healthcare environments. Performance is evaluated using metrics such as prediction accuracy, infrastructure availability, resource utilization, maintenance efficiency, response time, and operational continuity. Experimental results demonstrate that the proposed framework improves failure prediction, reduces downtime, optimizes resource allocation, and enhances emergency response compared to conventional approaches. Overall, the architecture supports the development of intelligent, resilient, and sustainable healthcare systems aligned with Industry 5.0 principles.","url":"https://doi.org/10.67228/30715636/ijetmr-2025pii4m2q","authors":["Per Brinch Hansen","Børge Diderichsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-26T08:45:32Z","doi":"10.67228/30715636/ijetmr-2025pii4m2q","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.59389/modular.1589036","name":"Digital Twin Prototyping and Simulation Process Proposal in Architecture Through the Integration of BIM and IOT","source":"crossref","abstract":"Building Information Modelling (BIM) integrated with real-time Internet of Things (IoT) data streams is emerging as a foundational approach in the development of architectural digital twins. This study proposes a structured and replicable process to achieve an architectural digital twin by integrating BIM and IoT technologies. In the proposed framework, real-time environmental data from a 35 m² indoor room was collected using Arduino-based sensors and processed through Excel and Dynamo to synchronize with a Revit-based BIM model. The results demonstrate successful and continuous real-time synchronization of environmental data with the BIM environment, offering valuable insights for optimizing building performance and comfort conditions. However, limitations such as scalability to larger spaces and response time delays require further research. The study presents a novel pipeline for smart building management by integrating real-time monitoring and digital visualization. Future studies should focus on improving automation workflows, minimizing latency, and extending applicability to complex, multi-room settings. This research contributes to the growing field of digital twins by enabling data-driven, real-time environmental monitoring and enhanced decision-making for architects and facility managers.","url":"https://doi.org/10.59389/modular.1589036","authors":["Marwa Abdelfattah","Can Uzun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-27T18:31:30Z","doi":"10.59389/modular.1589036","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1177/0739456x251360632","name":"Digital Twin or Digital Kin: Misunderstandings and Myths about Urban Simulation, and Directions for Change","source":"crossref","abstract":"Using three case studies from the United States and Australia, this article explores the conditions required to make urban digital twin projects successful, considering a traditional urban digital twins (UDT) project and National Science Foundation (NSF)-funded 3D gaming digital twins in New York and a large-scale federated UDT platform in New South Wales (NSW) Australia. The authors argue that questions around interoperability and profit and tensions with democratic deliberation and socially beneficial outcomes necessitate best-practice “digital kin” models. These models are inclusive of different urban realities and diverse communities, as well as more closely integrated across platforms locations for use in participatory planning to advance social equity outcomes.","url":"https://doi.org/10.1177/0739456x251360632","authors":["Will B. Payne","Emma Fraser","Clancy Wilmott"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-30T09:01:08Z","doi":"10.1177/0739456x251360632","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3389/fdgth.2025.1603550","name":"Simulation-based assessment of digital twin systems for immunisation","source":"europepmc","abstract":"Background This paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard. Methods The system modelling is carried out using the Unified Modelling Language (UML) to define the workflows and processes involved, including vaccine storage temperature monitoring and population vaccination status tracking. The proposed architecture is structured into four domains: observable elements/entities, data collection and device control, digital twin platform, and user domain. To validate the system's performance and feasibility, simulations are conducted using SimPy, enabling the evaluation of its response under various operational scenarios. Results The system facilitates the storage, monitoring, and visualisation of data related to the thermal conditions of ice-lined refrigerators (ILR) and thermal boxes. Additionally, it analyses patient vaccination coverage based on the official immunisation schedule. The key benefits include optimising vaccine storage conditions, reducing dose wastage, continuously monitoring immunisation coverage, and supporting strategic vaccination planning. Conclusion The paper discusses the future impacts of this approach on immunisation management and its scalability for diverse public health contexts. By leveraging advanced technologies and simulation, this digital twin framework aims to improve the performance and overall impact of immunization services.","url":"https://doi.org/10.3389/fdgth.2025.1603550","authors":["Leonardo de Oliveira El-Warrak","Claudio Miceli de Farias","Victor Hugo Dias Macedo De Azevedo Costa"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdgth.2025.1603550","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4690394","name":"A Climate Earth Digital Twin: An overview of Riskthinking.AI’s CDT","source":"crossref","abstract":"An Earth digital twin is a virtual representation or model of the Earth and its systems, designed to simulate and replicate the real world in a digital environment. Here we introduce and build a Climate Earth Digital Twin, CDT™, and describe the components needed to build it. Our CDT provides a platform for simulating and predicting the exposure and impact of climate change on a multitude of physical assets located in every corner of the world at different points of time in the future. It is based on a comprehensive physical asset data set covering over a quarter million companies and their approximately 4 million associated physical assets. Our digital twin also provides an innovative, multifactor data-driven scenario generation facility. It is based on the actual CDT that Riskthinking.ai has built and is in production. It powers Bloomberg Terminal’s physical climate risk offering as well as our own software platform for climate financial risk, VELO®. The key feature of this CDT is that it models the radical uncertainty of our future climate – it is a stochastic solution. Its importance is that it demonstrates that a stochastic solution is not only feasible but also available commercially. Another feature is how it enables integration of multiple risk types, including physical and transition risks, nature risks, and political and social risks. Our vision is that this twin, through collaboration, will grow with climate science in its depth of offering, coverage of the physical and natural world, and evolving transition data. Our immediate goal is that every bank adopts a climate digital earth twin to integrate climate risk into their enterprise risk calculations.","url":"https://doi.org/10.2139/ssrn.4690394","authors":["Ron Dembo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-13T09:39:27Z","doi":"10.2139/ssrn.4690394","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.55248/gengpi.6.0225.0956","name":"Digital Twin Technology as a Catalyst for Sustainable Development in the Construction Sector: A Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.6.0225.0956","authors":["Geekiyanage C.L.","Prabodhani L.H.K.N","Wijerathna R.M.K.K.","Dr. Lekamge L.S"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-03T08:05:39Z","doi":"10.55248/gengpi.6.0225.0956","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/su17062518","name":"Systematic Digital Twin-Based Development Approach for Holistic Sustainable Electric Traction Motors","source":"crossref","abstract":"Sustainability is a key challenge today. The high emission impact of the mobility sector requires a shift from internal combustion engines to electric traction motors. In order to improve sustainability holistically, the entire lifecycle from raw materials, manufacturing, use and end-of-life must be considered during development. Although a lot can be carried out to influence sustainability during the development phase, knowledge about the product is still very limited. Considering the main lifecycle stages already during the development phase requires a systematic development approach. Furthermore, integrating data from previous product generations is required. Generating a digital twin which collects data over the lifecycle is a useful tool which enables the prediction of evaluation criteria for the lifecycle stages. However, when using the digital twin, a suitable description model needs to be generated. A cross-lifecycle evaluation model based on Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) was used to evaluate sustainability throughout the whole lifecycle. Information for evaluation was generated using a cross-lifecycle modeling approach, which enabled the combination of different lifecycle perspectives during development. To show the potential of evaluating different solutions from different perspectives, the methodology was demonstrated with a lightweight rotor of an electric traction motor. The great potential of the process model is shown.","url":"https://doi.org/10.3390/su17062518","authors":["Johannes Scholz","Nicolaus Klein","Florian Kößler","Jürgen Fleischer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-13T06:53:00Z","doi":"10.3390/su17062518","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/electronics14020395","name":"A Digital Twin Approach for Soil Moisture Measurement with Physically Based Rendering Simulations and Machine Learning","source":"crossref","abstract":"Soil is one of the most important factors of agricultural productivity, directly influencing crop growth, water management, and overall yield. However, inefficient soil moisture monitoring methods, such as manual observation and gravimetric in rural areas, often lead to overwatering or underwatering, wasting resources and reduced yields, and harming soil health. This study offers a digital twin approach for soil moisture measurement, integrating real-time physical data, virtual simulations, and machine learning to classify soil moisture conditions. The digital twin is proposed as a virtual representation of physical soil designed to replicate real-world behavior. We used a multispectral rotocam, and high-resolution soil images were captured under controlled conditions. Physically based rendering (PBR) materials were created from these data and implemented in a game engine to simulate soil properties accurately. Image processing techniques were applied to extract key features, followed by machine learning algorithms to classify soil moisture levels (wet, normal, dry). Our results demonstrate that the Soil Digital Twin replicates real-world behavior, with the Random Forest model achieving a high classification accuracy of 96.66% compared to actual soil. This data-driven approach conveys the potential of the Soil Digital Twin to enhance precision farming initiatives and water use efficiency for sustainable agriculture.","url":"https://doi.org/10.3390/electronics14020395","authors":["Ismail Parewai","Mario Köppen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T09:11:13Z","doi":"10.3390/electronics14020395","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/ticps.2025.3586823","name":"State-Space Driven Digital Twin for Condition Monitoring and Predictive Health Assessment in Grid-Integrated Power Converter System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ticps.2025.3586823","authors":["Arun Kumar","Nishant Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-07T13:54:52Z","doi":"10.1109/ticps.2025.3586823","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.37547/ajast/volume05issue07-07","name":"The Role of Digital Twin Technologies in Modern Manufacturing Processes","source":"crossref","abstract":"The development of manufacturing technologies is fundamentally transforming industrial activities, with digital twin technologies emerging as a revolutionary solution. A digital twin is a virtual model of a real-world object, enabling real-time monitoring, analysis, and optimization of processes. This article explores the essence of digital twin technology, its applications, and its significance in enhancing efficiency, reducing costs, and fostering innovation in modern manufacturing. Furthermore, the study analyzes the challenges of implementing this technology and outlines future prospects.","url":"https://doi.org/10.37547/ajast/volume05issue07-07","authors":["Ibragimov S.S.","Akbarov B.Q."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-26T10:34:19Z","doi":"10.37547/ajast/volume05issue07-07","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/biomimetics10030186","name":"Human-like Dexterous Grasping Through Reinforcement Learning and Multimodal Perception","source":"pubmed","abstract":"Dexterous robotic grasping with multifingered hands remains a critical challenge in non-visual environments, where diverse object geometries and material properties demand adaptive force modulation and tactile-aware manipulation. To address this, we propose the Reinforcement Learning-Based Multimodal Perception (RLMP) framework, which integrates human-like grasping intuition through operator-worn gloves with tactile-guided reinforcement learning. The framework’s key innovation lies in its Tactile-Driven DCNN architecture—a lightweight convolutional network achieving 98.5% object recognition accuracy using spatiotemporal pressure patterns—coupled with an RL policy refinement mechanism that dynamically correlates finger kinematics with real-time tactile feedback. Experimental results demonstrate reliable grasping performance across deformable and rigid objects while maintaining force precision critical for fragile targets. By bridging human teleoperation with autonomous tactile adaptation, RLMP eliminates dependency on visual input and predefined object models, establishing a new paradigm for robotic dexterity in occlusion-rich scenarios.","url":"https://doi.org/10.3390/biomimetics10030186","authors":["Wen Qi","Haoyu Fan","Cankun Zheng","Hang Su","Samer Alfayad","Qi W","Fan H","Zheng C","Su H","Alfayad S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 18","doi":"10.3390/biomimetics10030186","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.1080/27525783.2023.12519283","name":"REVISED Digital twin and its applications in the construction industry: A state-of-art systematic review\n         \t\t\t[version 3; peer review: 2 approved, 4 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519283","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:54Z","doi":"10.1080/27525783.2023.12519283","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1049/pbme028e_ch7","name":"Research on Digital Twin-based safety teaching model in digital manufacturing: a new pathway for integrated vocational education","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbme028e_ch7","authors":["Yan Li","Wai Yie Leong","Hongli Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-08T10:13:18Z","doi":"10.1049/pbme028e_ch7","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/models-c68889.2025.00041","name":"On-Demand Cardiac Digital Twins: A Case Study on DevOps workflows for Digital Twin Platforms","source":"crossref","abstract":"","url":"https://doi.org/10.1109/models-c68889.2025.00041","authors":["Pranjay Yelkotwar","Rohit Raj","Aryan Pingle","Prasad Talasila","Neena Goveas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-11T18:42:39Z","doi":"10.1109/models-c68889.2025.00041","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1201/9781003532286-8","name":"The Potential of Digital Twins and Blockchain for Precision Drug Development and Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-8","authors":["C. Manonmani","Kiran Kakade","Ashok Vajravelu","Sheshang Degadwala"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-8","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.5194/egusphere-egu24-19255","name":"A digital twin for volcanic deformation merging 3D numerical simulations and AI","source":"crossref","abstract":"At active volcanoes, surface deformation is often a reflection of subsurface magma activity that is associated with pressure variations in magma sources. Magma dynamics cause a change of stress in the surrounding rocks. Consequently, the deformation signals propagate through the rocks and arrive at the surface where the monitoring network records them. It is invaluable to have an automated tool that can instantly analyze the surface signals and give information about the evolution of the location and magnitude of pressure variations in case of volcanic unrest. Inverse methods employed for this often suffer from ill-posedness of the problem and non-uniqueness of solutions. To this end, we are developing a digital twin to use on Mount Etna volcano, combining the capability of numerical simulations and AI. Our digital twin is composed of two AI models: the first AI model (AI1) will be trained on multi-parametric data to recognize unrest situations, and the second AI model (AI2) will be trained on a large number (order 10^5 - 10^6) of 3D elastostatic numerical simulations for dike intrusions with the real topography and best available heterogeneous elastic rock properties of Mount Etna Volcano using a forward modeling approach. Numerical simulations will be performed on Fenix HPC resources using the advanced open-source multi-physics finite element software Gales. Both AI modules will be developed and trained independently and then put into use together. After activation, AI1 will analyze the streaming of monitoring data and activate AI2 in case of a volcanic crisis. AI2 will provide information about the acting volcanic source. The software will be provided as an open-source package to allow replication on other volcanoes. The tool will serve as an unprecedented prototype for civil protection authorities to manage volcanic crises.","url":"https://doi.org/10.5194/egusphere-egu24-19255","authors":["Chiara P Montagna","Deepak Garg","Martina Allegra","Flavio Cannavò","Gilda Currenti","Rebecca Bruni","Paolo Papale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T11:16:49Z","doi":"10.5194/egusphere-egu24-19255","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1201/9781003712701-23","name":"Digital Twin Technology in Environmental Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003712701-23","authors":["Sneha Gautam","Chafai Azri","Md. Badiuzzaman Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T10:32:58Z","doi":"10.1201/9781003712701-23","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.32595/iirjet.org/v10i3.2025.219","name":"Digital Twin Implementation for Predictive Maintenance in Industrial Systems","source":"crossref","abstract":"The combination of Digital Twin (DT) and predictive maintenance (PdM) is catching on and can truly transform today’s industry, mainly driven by Industry 4.0. A Digital Twin is a live, digital version of a real asset, system or process that is constantly changing with updated information from sensors and advanced models. Because of this integration, it is easier to monitor, detect any anomalies, diagnose issues and predict future problems, leading to fewer unexpected shutdowns, savings on service costs and a better run of operations and asset health. It reviews in detail the implementation of Digital Twins for predictive maintenance, combining different perspectives across manufacturing, energy, aerospace, automotive and process domains. Important architectural pieces investigated by the study are IoT-enabled data collection, simulation with different physics, AI/ML analysis, frameworks using edge and cloud computing and advanced visual interfaces. A taxonomy of DT-based PdM systems organized by maintenance type (such as condition-based and failure prediction), modeling (such as physics-based, data-driven, hybrid) and maturity is provided. Besides, the review points out how major players in the field implement these technologies and assesses their outcomes. While significant progress has been made, problems including different forms of data, high costs in computing, explaining models, selecting industry standards and cybersafety keep slowing the adoption of AI across large organizations. The authors examine these barriers and come up with strong solutions in the paper. Various research areas are suggested, including making federated digital twins, adding semantic consistency to various systems, applying XAI for understandable decisions and enabling real-time analysis at the edge for quick responses. The purpose of the review is to bring together industrial and academic work to make it easier for researchers and users to build, put in place and perfect intelligent predictive maintenance using digital twins, encouraging strong, data-based industries.","url":"https://doi.org/10.32595/iirjet.org/v10i3.2025.219","authors":["Ameer Hamza","Mahesh Chandrasekar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T11:55:53Z","doi":"10.32595/iirjet.org/v10i3.2025.219","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.5220/0013080500003941","name":"Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013080500003941","authors":["Théo Tuerlinckx","Sam Weckx","Steven Robyns","Jeroen M. De Kooning"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-06T21:58:21Z","doi":"10.5220/0013080500003941","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1201/9781003281184-11","name":"Internet of Things, Cyber–Physical Systems, Digital Twins, and Artificial Intelligence in Wind Turbine Technology and Condition Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-11","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-11","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1088/1674-1056/ae2d3d","name":"Digital twin of a vibration energy harvesting system under Gaussian noise excitation","source":"crossref","abstract":"Abstract Energy harvesting systems capture ambient energy and convert it into electrical power to sustain low-power electronic devices. However, they face challenges such as regular maintenance requirements and low energy conversion efficiency. Digital twin technology, which enables predictive analysis without direct physical intervention, offers a promising approach for real-time monitoring and optimization of harvesting system performance. Over recent decades, methods such as stochastic averaging and stochastic perturbation have been widely used to derive approximate analytical solutions for dynamical systems. These methods, however, are generally suited for offline theoretical analysis and do not readily support real-time forecasting or control. In contrast, few studies have explored the use of digital twins for real-time simulation and prediction of nonlinear dynamic responses in energy harvesting contexts. To address this gap, this paper develops a digital twin–based framework to simulate and predict the dynamic behavior of energy harvesting systems, with the aim of improving energy conversion efficiency and enabling predictive maintenance. Firstly, by integrating machine learning with Bayesian filtering algorithms within a data-driven and physics-based framework, a Bayesian grey-box model is established for simulating system states. The consistency between real and simulated values demonstrates the effectiveness of the proposed framework, allowing for real-time monitoring of the system. Subsequently, by refining the Gaussian process and incorporating a particle optimization algorithm, it is proven that digital twin can predict data within a certain period of time. Finally, two distinct systems are investigated to analyze their stochastic responses under Gaussian white noise and Gaussian colored noise excitations. Results demonstrate that the theoretical framework proposed in this paper consistently achieves high accuracy and precision across both noise conditions.","url":"https://doi.org/10.1088/1674-1056/ae2d3d","authors":["Ya-Hui Sun","Xiao-Qing Ye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-16T10:49:16Z","doi":"10.1088/1674-1056/ae2d3d","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.63550/iceip.2025.62.48.001","name":"Using Digital Twin Technologies to Train Information Security Professionals","source":"crossref","abstract":"This paper explores the possibility of using digital twins of enterprise information systems, based on the Cyber polygon, to train Information Security students. The term “cyber polygon” is defined as a digital twin of the enterprise IT structure, allowing the implementation of various attack scenarios. A cyber polygon allows students to develop skills in eliminating vulnerabilities without harming real systems. The authors conducted a study with Information Security students to assess how cyber-range-based training affects their learning. Statistical analysis showed that second- and third-year students practiced scenarios as both the monitoring and response teams. Repeated practice significantly reduced the time to close vulnerabilities, but the same scenarios should not be overused to prevent memorization. Moreover, third-year students showed better results than second-years due to greater experience with the cyber range.","url":"https://doi.org/10.63550/iceip.2025.62.48.001","authors":["A.R. Kasimova","L.Kh. Safiullina","A.A. Alekseeva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-07T08:06:26Z","doi":"10.63550/iceip.2025.62.48.001","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/access.2024.3381778","name":"Developing and Evolving a Digital Twin of the Organization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3381778","authors":["Farid Edrisi","Diego Perez-Palacin","Mauro Caporuscio","Samuele Giussani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-25T19:33:40Z","doi":"10.1109/access.2024.3381778","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5393702","name":"Mirrorlake: A Digital Twin Platform for Real-Time Synchronization with the Real World","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5393702","authors":["Won Gi Choi","Younghwan Jung","Myung-Sun Baek","Taemin Hwang","Jinyoung Lee","Sangshin Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-15T22:37:32Z","doi":"10.2139/ssrn.5393702","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.51551/verimlilik.1524701","name":"Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML","source":"crossref","abstract":"Purpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models. Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operational strategies based on real-time data collected from warehouse activities. Findings: A prototype implementation demonstrated significant improvements, including a 28.6% reduction in average picking time, a 20% improvement in inventory turnover, an increase in demand forecasting accuracy from 85% to 92%, and a reduction in labor costs by 15%. Originality: This research uniquely applies Digital Twin technology to manual warehouse environments, showcasing its effectiveness in enhancing operational efficiency without the need for full automation.","url":"https://doi.org/10.51551/verimlilik.1524701","authors":["Erhan Arslan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-03T13:30:22Z","doi":"10.51551/verimlilik.1524701","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5431224","name":"Mechanism-Constrained and Data-Driven Multi-model Fusion Real-Time Digital Twin Method","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5431224","authors":["Lele Luo","weiqi qin","jian chen","Wenlei Yu","chuanyang li","Jinliang He","Heming Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T06:40:44Z","doi":"10.2139/ssrn.5431224","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5398013","name":"Developing a Digital Twin Framework for Remotely Monitoring Nuclear Reactor Facilities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5398013","authors":["Natalie Hergesheimer","Emerald Ryan","Kolton Heaps","Jack Cavaluzzi","Ashley Shields","Logan Browning","Christopher Ritter","Ryan Stewart"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-19T21:45:01Z","doi":"10.2139/ssrn.5398013","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5379399","name":"A BIM-Driven Digital Twin Framework for Human-Robot Collaborative Construction with On-Site Scanning and Adaptive Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5379399","authors":["Mingyang Yuan","Hedi Mao","Wen Qin","Bentian Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-12T10:06:29Z","doi":"10.2139/ssrn.5379399","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1109/jiot.2025.3576325","name":"Digital Twin-Inspired Anxiety Detection for Smart Office Healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2025.3576325","authors":["Munish Bhatia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-04T13:57:50Z","doi":"10.1109/jiot.2025.3576325","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/app152413135","name":"Digital Twin and AI Models for Infrastructure Resilience: A Systematic Knowledge Mapping","source":"crossref","abstract":"As global infrastructure systems face increasing environmental, social, and operational challenges, enhancing their resilience through digital and intelligent technologies has become a strategic priority. Digital Twin (DT) and Artificial Intelligence (AI) technologies offer transformative capabilities for monitoring, predicting, and optimizing infrastructure performance under stress. However, research on their integration within resilience frameworks remains fragmented. This study presents a comprehensive bibliometric analysis to clarify how DT and AI are being applied to strengthen infrastructure resilience (IR). Using data exclusively from the Web of Science (WoS) database, co-occurrence and overlay visualizations were employed to map thematic structures, identify research clusters, and track emerging trends. The analysis revealed six interconnected research domains linking DT, AI, and resilience, including artificial intelligence and industrial applications, digital twins and machine learning, cyber–physical systems, smart cities and sustainability, data-driven resilience modeling, and methodological frameworks. Overlay mapping revealed a temporal shift from early work on sensors and cyber–physical systems toward integrated, sustainability-oriented applications, including predictive maintenance, urban digital twins, and environmental resilience. The findings underscore the need for adaptive and interoperable DT ecosystems incorporating AI-driven analytics, ethical data governance, and sustainability metrics, providing a unified foundation for advancing resilient and intelligent infrastructure systems.","url":"https://doi.org/10.3390/app152413135","authors":["Adedeji Afolabi","Olugbenro Ogunrinde","Abolghassem Zabihollah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T09:36:39Z","doi":"10.3390/app152413135","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/978-981-97-8483-7_11","name":"Synergizing Digital Twin Computing with Urban Entrepreneurship and Tactical Urbanism: A Paradigm for Smart City Evolution","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-8483-7_11","authors":["Seyedeh Sedigheh Ghorashi","Bahram Hooshyar Yousefi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T21:32:25Z","doi":"10.1007/978-981-97-8483-7_11","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.4018/979-8-3373-7077-4.ch008","name":"Cybersecurity in Agriculture 5.0","source":"crossref","abstract":"Within the framework of the digital revolution in the agriculture industry, Agriculture 5.0 is a noteworthy accomplishment reflecting a major progress. The agriculture industry employs a broad spectrum of technologies to reach this aim: digital twin systems, big data, the Internet of Things (IoT), and artificial intelligence (AI). Investigating the use of digital twins with the aim of monitoring and enhancing agricultural cybersecurity is the main goal of this work. Real-time simulations of physical systems are examined in this study along with potential uses for these simulations to reduce risks in cyber-physical environments. The growing reliance of smart farming on networked equipment, which calls for the use of strict and easily available security techniques, has changed the risk landscape.","url":"https://doi.org/10.4018/979-8-3373-7077-4.ch008","authors":["P. C. Senthil Mahesh","Rohini Ganapathi","Vivek Pandiya Raj","Natchiammai Palaniappan","Sangeetha Kuppusamy","Manjunathan Alagarsamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-24T19:21:08Z","doi":"10.4018/979-8-3373-7077-4.ch008","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.67228/30716357/ijmrse-2025pi2f6y","name":"Hybrid Digital Twin and IoT Framework for Smart Building Energy Optimization","source":"crossref","abstract":"Rapid urbanization, increasing energy demand, and stringent environmental regulations have accelerated the adoption of smart building management systems. However, conventional Building Energy Management Systems (BEMS) rely on static control strategies and limited predictive capabilities, resulting in inefficient energy utilization. This paper proposes a Hybrid Digital Twin–IoT Framework that integrates real-time IoT sensing, cloud-edge computing, machine learning, and Digital Twin simulation for intelligent energy optimization. Environmental and operational data from sensors, including temperature, humidity, occupancy, lighting, CO₂ concentration, and energy meters, are processed at the edge and synchronized with a cloud-based Digital Twin for real-time monitoring and predictive analytics. The framework forecasts energy demand, occupant behavior, and HVAC performance while optimizing building operations to reduce energy consumption and operational costs without compromising occupant comfort. Continuous interaction between the physical building and its virtual counterpart enables predictive maintenance, adaptive control, intelligent fault diagnosis, and renewable energy integration, delivering scalable, sustainable, and energy-efficient smart building management with improved reliability and decision-making.","url":"https://doi.org/10.67228/30716357/ijmrse-2025pi2f6y","authors":["Mahabala H.N"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T05:21:38Z","doi":"10.67228/30716357/ijmrse-2025pi2f6y","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.2139/ssrn.5152968","name":"A Digital Twin Framework for Satellite Load-Carrying Structure to Enable Real-Time Monitoring of Points-of-Concern Responses","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5152968","authors":["Naijian Gu","Wenhua WU","Liu Kun","Xinglin GUO"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-25T06:37:42Z","doi":"10.2139/ssrn.5152968","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/s11042-025-20799-x","name":"A digital twin to promote and preserve the endangered volunteer geographic information","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11042-025-20799-x","authors":["Robert Jeansoulin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-29T04:57:55Z","doi":"10.1007/s11042-025-20799-x","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.56975/ijrar.v12i2.314838","name":"Digital Twin-Enabled Smart Energy Management System for Forecasting  and Virtualized Monitoring.","source":"crossref","abstract":"","url":"https://doi.org/10.56975/ijrar.v12i2.314838","authors":["V. Tejashree","N. Aravindhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-09T12:06:36Z","doi":"10.56975/ijrar.v12i2.314838","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.1007/s00466-024-02575-0","name":"A voxel-based machine-learning digital-oven-twin for precise cooking","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00466-024-02575-0","authors":["T. I. Zohdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-09T08:12:38Z","doi":"10.1007/s00466-024-02575-0","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.36227/techrxiv.174494653.36571537/v2","name":"An End-to-End Digital Twin Framework for Dynamic Traffic Analytics in O-RAN","source":"crossref","abstract":"Dynamic traffic patterns and shifts in traffic distribution in Open Radio Access Networks (O-RAN) pose a significant challenge for real-time network optimization in 5G and beyond. Traditional traffic analytics methods struggle to remain accurate under such non-stationary conditions, where models trained on historical data quickly degrade as traffic evolves. This paper introduces AIDITA, an AI-driven Digital Twin for Traffic Analytics framework designed to solve this problem through autonomous model adaptation. AIDITA creates a digital replica of the live analytics models running in the RAN Intelligent Controller (RIC) and continuously updates them within the digital twin using incremental learning. These updates use real-time Key Performance Metrics (KPMs) from the live network, augmented with synthetic data from a Generative AI (GenAI) component to simulate diverse network scenarios. Combining GenAI-driven augmentation with incremental learning enablestraffic analytics models, such as prediction or anomaly detection, to adapt continuously without the need for full retraining, preserving accuracy and efficiency in dynamic environments. Implemented and validated on a real-world 5G testbed, our AIDITA framework demonstrates significant improvements in traffic prediction and anomaly detection use cases under distribution shifts, showcasing its practical effectiveness and adaptability for real-time network optimization in O-RAN deployments.","url":"https://doi.org/10.36227/techrxiv.174494653.36571537/v2","authors":["Hojjat Navidan","Cristian Martín","Vasilis Maglogiannis","Dries Naudts","Manuel Díaz","Ingrid Moerman","Adnan Shahid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T22:00:12Z","doi":"10.36227/techrxiv.174494653.36571537/v2","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.26689/jera.v9i4.11441","name":"Analysis of Tool Wear Condition Monitoring Based on Digital Twin Technology","source":"crossref","abstract":"This paper focuses on the key issues of tool wear condition monitoring in the field of machining, and deeply discusses the application of digital twin technology in this aspect. This paper expounds the principle and architecture of digital twin technology, analyzes its specific methods in tool wear data acquisition, modeling, simulation, and real-time monitoring, and shows the significant advantages of this technology in improving the accuracy of tool wear monitoring and realizing predictive maintenance. At the same time, the challenges faced by digital twin technology in tool wear condition monitoring are discussed, and the corresponding development direction is put forward, aiming to provide theoretical reference and practical guidance for optimizing tool management by digital twin technology in the machining industry.","url":"https://doi.org/10.26689/jera.v9i4.11441","authors":["Chengcheng Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-07T06:33:54Z","doi":"10.26689/jera.v9i4.11441","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"doi:10.3390/en18215593","name":"AI-Powered Digital Twin Co-Simulation Framework for Climate-Adaptive Renewable Energy Grids","source":"crossref","abstract":"Climate change is accelerating the frequency and intensity of extreme weather events, posing a critical threat to the stability, efficiency, and resilience of modern renewable energy grids. In this study, we propose a modular, AI-integrated digital twin co-simulation framework that enables climate adaptive control of distributed energy resources (DERs) and storage assets in distribution networks. The framework leverages deep reinforcement learning (DDPG) agents trained within a high-fidelity co-simulation environment that couples physical grid dynamics, weather disturbances, and cyber-physical control loops using HELICS middleware. Through real-time coordination of photovoltaic systems, wind turbines, battery storage, and demand side flexibility, the trained agent autonomously learns to minimize power losses, voltage violations, and load shedding under stochastic climate perturbations. Simulation results on the IEEE 33-bus radial test system augmented with ERA5 climate reanalysis data demonstrate improvements in voltage regulation, energy efficiency, and resilience metrics. The framework also exhibits strong generalization across unseen weather scenarios and outperforms baseline rule based controls by reducing energy loss by 14.6% and improving recovery time by 19.5%. These findings position AI-integrated digital twins as a promising paradigm for future-proof, climate-resilient smart grids.","url":"https://doi.org/10.3390/en18215593","authors":["Kwabena Addo","Musasa Kabeya","Evans Eshiemogie Ojo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-29T04:26:29Z","doi":"10.3390/en18215593","addedAt":"2026-09-01T01:47:33.560Z","updatedAt":"2026-09-01T01:47:33.560Z"},{"id":"oa:W4405265886","name":"Factors Affecting the Implementation of the Digital Twins in the Construction Industry: An Interpretive Structural Modelling Analysis","source":"openalex","abstract":"With the extensive use of digital technologies, the modern construction industry has made progress in improving productivity and safety. Despite this, construction productivity remains among the lowest in the industry. With the development of Industrial Revolution 4.0, the construction industry has also benefited from it, forming the idea behind Construction 4.0, which is founded on: the digitization of the construction sector and the industrialization of the construction procedure. The current use of digital twins in the construction industry is considered among the most successful and influential ways to achieve Construction 4.0, optimize construction links, and improve coordination among stakeholders. Many factors are impacting the construction industry's adoption of digital twins. Previous studies have failed to propose a practical model to facilitate the implementation of digital twins in the construction industry. This study fills this gap. First, this study conducted a systematic literature review (SLR) based on Web of Science and Scopus databases to identify negative and positive factors. SLR identifies four aspects of factors, including technical factors, stakeholder factors, external factors, and economic factors. A conceptual model is then proposed using an interpretive structural modeling analysis approach. The model is used to describe the interaction of these factors in digital twins implementation, and finally, recommendations are made to mitigate the negative factors based on the model. This conceptual model helps guide digital twin implementation in the construction industry and helps build a knowledge system of digital technology. The findings will support practitioners in the construction industry using or planning to use digital twins.","url":"https://doi.org/10.37934/araset.53.2.263282","authors":["Khoo Terh Jing Khoo","Jiao Wang","Muneera Esa","Hui Sun"],"tags":["Construction industry","Digitization","Productivity","Stakeholder","Conceptual framework"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-11","doi":"https://doi.org/10.37934/araset.53.2.263282","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394689392","name":"(Self-)Envy, Digital Technology, and Me","source":"openalex","abstract":"Abstract Using digital technology, in particular social media, is often associated with envy. Online, where there is a tendency for people to present themselves in their best light at their best moments, it can feel like we are unable to turn without being exposed to people living out their perfect lives, with their fancy achievements, their beautiful faces and families, their easy wit, and wide social circles. In this paper, I dive into the relationship between envy and digital technology. I offer an enriched account of envy that aims to establish both the situated nature of envy, as well as (more controversially) the possibility of self-envy. I explore how features of digital technology not only increase the frequency with which we might experience envy directed at others, but also envy directed at other versions of one’s self. For online, we not only encounter idealized versions of others but digitally idealized versions of our selves. Moreover, I argue that digital technology does not only increase the likelihood of experiencing self-envy but makes the experience less cognitively onerous. I conclude by considering how current digital technology shapes what we envy.","url":"https://doi.org/10.1007/s11245-024-10047-6","authors":["Lucy Osler"],"tags":["Psychology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-10","doi":"https://doi.org/10.1007/s11245-024-10047-6","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4410975468","name":"Digital Intelligence in Building Lifecycle Management: A Mixed-Methods Approach","source":"openalex","abstract":"The rapid evolution of information technology has positioned digital intelligence as a transformative force across socio-economic domains, necessitating rigorous scholarly examination of its applications and implications. This paper systematically explores the digital intelligence empowerment in Building Lifecycle Management (BLM) under the framework of Construction 4.0. Employing a mixed-methods approach, the research combines a systematic literature review with bibliometric visualization analysis using CiteSpace to map the intellectual landscape, identify key technological drivers (for example, Building Information Modeling, Internet of Things, artificial intelligence, and blockchain), and elucidate integration mechanisms across planning, design, construction, and operational phases. A comparative case study of BLM adoption further demonstrates the transformative impacts of digital intelligence on project efficiency, sustainability, and safety. The research highlights the role of digital intelligence in addressing industry challenges, including resource waste (global construction generates 30% of total waste), safety risks, and stagnant productivity, while fostering innovation and sustainable development. This study advances a holistic model for digital transformation in BLM, offering actionable insights for stakeholders to bridge the academia–industry divide and prioritize strategic investments in interoperable systems, workforce upskilling, and governance frameworks.","url":"https://doi.org/10.3390/su17115121","authors":["J. S. Lai","Runnan Wan","Heap‐Yih Chong","Xiaofeng Liao"],"tags":["Process management","Application lifecycle management","Knowledge management","System lifecycle","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-03","doi":"https://doi.org/10.3390/su17115121","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413286518","name":"VisFactory: Adaptive Multimodal Digital Twin with Integrated Visual-Haptic-Auditory Analytics for Industry 4.0 Engineering Education","source":"openalex","abstract":"Industry 4.0 has intensified the skills gap in industrial automation education, with graduates requiring extended on boarding periods and supplementary training investments averaging USD 11,500 per engineer. This paper introduces VisFactory, a multimedia learning system that extends the cognitive theory of multimedia learning by incorporating haptic feedback as a third processing channel alongside visual and auditory modalities. The system integrates a digital twin architecture with ultra-low latency synchronization (12.3 ms) across all sensory channels, a dynamic feedback orchestration algorithm that distributes information optimally across modalities, and a tripartite student model that continuously calibrates instruction parameters. We evaluated the system through a controlled experiment with 127 engineering students randomly assigned to experimental and control groups, with assessments conducted immediately and at three-month and six-month intervals. VisFactory significantly enhanced learning outcomes across multiple dimensions: 37% reduction in time to mastery (t(125) = 11.83, p < 0.001, d = 2.11), skill acquisition increased from 28% to 85% (ηp2=0.54), and 28% higher knowledge retention after six months. The multimodal approach demonstrated differential effectiveness across learning tasks, with haptic feedback providing the most significant benefit for procedural skills (52% error reduction) and visual–auditory integration proving most effective for conceptual understanding (49% improvement). The adaptive modality orchestration reduced cognitive load by 43% compared to unimodal interfaces. This research advances multimedia learning theory by validating tri-modal integration effectiveness and establishing quantitative benchmarks for sensory channel synchronization. The findings provide a theoretical framework and implementation guidelines for optimizing multimedia learning environments for complex skill development in technical domains.","url":"https://doi.org/10.3390/multimedia1010003","authors":["Tsung-Ching Lin","Cheng‐Nan Chiu","Po-Tong Wang","Li-Der Fang"],"tags":["Haptic technology","Visual analytics","Human–computer interaction","Computer science","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-18","doi":"https://doi.org/10.3390/multimedia1010003","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411652836","name":"A Neuro-Symbolic Artificial Intelligence and Zero-Knowledge Blockchain Framework for a Patient-Owned Digital-Twin Marketplace in U.S. Value-Based Care.","source":"openalex","abstract":"As the U.S. healthcare system shifts toward value-based care, there is a growing need for patient-centered technologies that ensure data ownership, interoperability, and trust.This paper proposes a novel framework integrating neuro-symbolic artificial intelligence (AI) and zero-knowledge (ZK) blockchain to enable a secure, scalable, and ethically grounded digital-twin marketplace for patient data.The goal is to empower individuals to own and control their health digital twins-comprehensive, dynamic, AI-driven models representing real-time physiological, behavioral, and clinical states-while facilitating precision care and research collaborations.At a macro level, the framework leverages neuro-symbolic AI to enhance digital twin reasoning, enabling explainable predictions and treatment simulations across diverse datasets.This is paired with ZK-proof blockchain infrastructure to ensure privacy-preserving authentication, decentralized governance, and monetization of patient data without revealing sensitive health information.The integration addresses key challenges in trust, transparency, and consent in patient-provider and patient-researcher relationships.Zooming into operational layers, the paper outlines a decentralized application (dApp) architecture that supports smart contracts for patient-informed data sharing, automated payer-provider interactions, and regulatory compliance tracking.It also highlights how incentives within the marketplace can align with care quality metrics, promote social determinants of health inclusion, and advance equitable data access in underrepresented populations.Case scenarios in chronic disease management and clinical trials illustrate the feasibility of this patient-owned digital-twin ecosystem.Ethical considerations, including algorithmic fairness, data sovereignty, and digital consent protocols, are also critically examined.By combining symbolic logic, neural learning, and cryptographic assurance, this framework sets the foundation for a secure and equitable next-generation health economy.","url":"https://doi.org/10.55248/gengpi.6.0625.21105","authors":["Yusuff Taofeek Adeshina"],"tags":["Blockchain","Value (mathematics)","Zero (linguistics)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-01","doi":"https://doi.org/10.55248/gengpi.6.0625.21105","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4414292676","name":"Development of Digital/Visual Twin for Real‐Time Leak Detection in Gas Pipelines Under Multiphase Flow Conditions","source":"openalex","abstract":"ABSTRACT Leak detection (LD) in gas pipelines (GPs) is critical for ensuring operational safety and environmental protection. This study presents a novel digital/visual twin for detecting single‐ and multiple leaks in GPs under both single‐ and multiphase flow conditions. The framework of the digital twin leverages experimental data from a multiphase flow‐testing loop and synthetic data generated using OLGA software to validate and optimize machine learning (ML) models for leak detection and localization. Several ML models, including random forest (RF), support vector machine (SVM), k ‐nearest neighbors ( k ‐NNs), decision tree regression (DTR), and eXtreme gradient boosting (XGBoost), were tested individually for their ability to classify leak conditions and localize leaks. Initial results showed moderate performance for individual models, with accuracies ranging from 42% to 57%. However, a significant improvement was observed through the use of advanced techniques such as stacking models, feature engineering, and data averaging. The final stacking regressor model, which combined the strengths of RF, k ‐NN, and SVM, outperformed the individual models, achieving R 2 values exceeding 0.96 with an accuracy of 90% in complex multiple leak scenarios. The digital twin system integrates this ML framework with real‐time data visualization, allowing operators to visualize offshore pipeline conditions, detect leaks, and localize leak positions using a virtual twin representation of the physical pipeline. The virtual twin provides an interactive, high‐fidelity interface that enables users to monitor and analyze leak events as they occur, enhancing situational awareness and decision‐making capabilities. The combination of advanced ML techniques and digital twin technology provides a robust and accurate solution for real‐time LD in offshore pipelines. It significantly improves detection performance in multiphase flow conditions. This innovative approach sets a new benchmark for offshore pipeline monitoring systems, offering superior LD capabilities under a range of operational conditions. The system is readily adaptable for integration with SCADA platforms and pipeline monitoring infrastructures, supporting deployment in offshore oil and gas operations, industrial gas distribution networks, and critical energy corridors where early LD is essential.","url":"https://doi.org/10.1002/ghg.2379","authors":["Wahib A. Al‐Ammari","Ahmad K. Sleiti","Matthew Hamilton","Hicham Ferroudji","Sina Rezaei Gomari","Ibrahim Hassan","Rashid Hasan","Ibnelwaleed A. Hussein","Mohammad Azizur Rahman"],"tags":["Leak","Pipeline transport","Decision tree","Computer science","Support vector machine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-17","doi":"https://doi.org/10.1002/ghg.2379","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W7135020744","name":"Digital and sustainable agricultural futures: sociotechnical imaginaries of twin transitions and emerging roles for science","source":"openalex","abstract":"Introduction Recently, the concept of twin transitions gained momentum in policy and scientific discourse about agrifood systems. In twin transitional processes, digital tools are leveraged to drive sustainability transformations, while sustainability thinking guides the development, diffusion, and use of digital technology. However, these transitions are characterized by high uncertainty about the futures they will lead agriculture into. Methods In the present study, following a sociotechnical imaginaries perspective and using data from a workshop attended by Greek researchers, farmers, and farm advisors, we pursued two objectives. First, to delineate the futures that these transitions might shape for agriculture. Second, to identify the roles that science has to play in these futures. Results Our results reveal the multiplicity of agri-digital and sustainable transitions, picturing futures that range from idealized states, where digital technology continuously supports the achievement of sustainability targets, to less optimistic scenarios, in which digitalization fails to improve agricultural sustainability or even to deliver on its promise to provide tangible benefits at the farm level. Discussion Science is called to respond to these futures by contributing to technology upgrading, developing low-end digital tools, monitoring and assessing the sustainability performance of agricultural digitalization, informing policy-making, and co-shaping problematizations about digitalization with societal actors.","url":"https://doi.org/10.3389/fsufs.2026.1746682","authors":["Evagelos D. Lioutas","Chrysanthi Charatsari","M. De Rosa","Tiziana Pagnani","Dimitrios Aidonis","Luca Bartoli","Charisios Achillas","Dimitrios Folinas","Anastasios Michailidis"],"tags":["Sociotechnical system","Futures contract","Sustainability","Agriculture","Sustainability science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-12","doi":"https://doi.org/10.3389/fsufs.2026.1746682","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W7125598625","name":"Relatedness and regional specialization in green, digital, and twin economic activities: evidence from the UK","source":"openalex","abstract":"Abstract This paper examines the geography and relatedness of green, digital, and twin (both green and digital) economic activities across UK local authorities, contributing to debates on whether the two domains are truly synergistic. Using an innovative web-based real-time industry classification dataset covering about 200,000 firms, we identify regional specializations and compute industry-relatedness from firm-level co-occurrence patterns. Spatial mapping and urban scaling analyses reveal interesting patterns: digital industries tend to concentrate in large urban centres, while green and twin industries are more dispersed. Furthermore, regression models show that relatedness in one domain (e.g. green) is positively associated with specialization in the other (e.g. digital), with twin industries exerting the strongest mutual influence on both green and digital domains. These results provide empirical support that capabilities in one domain can facilitate diversification into the other, and that twin activities act as a bridge linking them. By explicitly identifying activities that are simultaneously green and digital, and by quantifying their relatedness to other industries, this paper offers new insights into the structural interdependencies underpinning the twin transition and its geography.","url":"https://doi.org/10.1007/s00168-025-01445-8","authors":["Gloria Cicerone","Sebastian Losacker","Raquel Ortega-Argilés"],"tags":["Economic geography","Interdependence","Underpinning","Diversification (marketing strategy)","Empirical evidence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-24","doi":"https://doi.org/10.1007/s00168-025-01445-8","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4392007761","name":"Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning","source":"openalex","abstract":"This article introduces an innovative approach to oil field management using digital twin technology and machine learning. A detailed experimental setup was designed using oil displacement techniques, equipped with sensors, actuators, flow meters, and solenoid valves. The experiments focused on displacing oil using water, polymer, and oil, from which valuable data was gathered. This data was pivotal in crafting a digital twin model of the oil field. Utilizing the digital twin, ML algorithms were trained to predict oil production rates, detect potential equipment malfunctions, and prevent operational issues. Our findings highlight a notable 10-15% improvement in oil production efficiency, underscoring the transformative potential of merging DT and ML in the petroleum industry.","url":"https://doi.org/10.37394/232017.2023.14.12","authors":["Nurdaulet Tasmurzayev","Bibars Amangeldy","Yedil Nurakhov","Shona Shinassylov","Samson Dawit Bekele"],"tags":["Field (mathematics)","Oil field","Computer science","Artificial intelligence","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-31","doi":"https://doi.org/10.37394/232017.2023.14.12","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4413912072","name":"Achieving Cultural Heritage Sustainability Through Digital Technology: Public Aesthetic Perception of Digital Dunhuang Murals","source":"openalex","abstract":"Against the backdrop of rapid digitization of cultural heritage, assessing the public’s genuine perception of digital heritage has become a critical issue in the study of cultural sustainability and communication. This study takes the “Digital Dunhuang Museum” exhibition in Guangzhou as a case, focusing on the differences and underlying mechanisms in public aesthetic perception of digital Dunhuang murals. Integrating eye-tracking experiments, subjective image evaluations, and semi-structured interviews, the research innovatively introduces multimodal visual behaviour and physiological data as core indicators in the field of digital cultural heritage. It systematically compares the explicit attitudes and implicit responses of audiences with different artistic backgrounds during the aesthetic perception process. The results reveal that participants with an art-related background show significantly higher scores in subjective dimensions such as pleasure, attraction, and visiting intention. They also demonstrate stronger visual engagement and emotional arousal in physiological dimensions, including the number of fixations, total fixation duration, and pupil diameter changes. This study constructs a mechanism of aesthetic perception for digital cultural heritage based on “visual attention–cognitive processing–emotional arousal”, enriching the public’s understanding of digital cultural heritage conservation and communication from both cognitive and emotional perspectives. The findings provide empirical support for the design of digital exhibitions of cultural heritage and expand the methodological and cognitive approaches in cultural sustainability research, offering important theoretical and practical implications.","url":"https://doi.org/10.3390/su17177887","authors":["Yuxin Chen","Yuxian Peng","Yuanjun Tan","Guang Luo","Min Wang"],"tags":["Sustainability","Cultural heritage","Perception","Aesthetics","Industrial heritage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-02","doi":"https://doi.org/10.3390/su17177887","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4406611920","name":"Data-Driven Extraction of Simulation Models for Energy-Oriented Digital Twins of Manufacturing Systems: An Illustrative Case Study","source":"openalex","abstract":"Manufacturing systems, as significant energy consumers and potential contributors to energy efficiency optimization, play an important role in addressing global energy challenges. Digital Twins utilize available data from smart manufacturing systems to effectively understand and replicate systems' energy-related behaviors. Digital Twins facilitate detailed systems analysis and enable decision support for optimizing energy efficiency through performing relevant ‘what-if” scenario analyses. In this paper, we propose a methodology for data-driven extraction of simulation models for Energy-Oriented Digital Twins of smart manufacturing systems. Through a case study of a data-driven Energy-Oriented Digital Twin for an assembly process of a quadcopter drone part, we illustrate our initial methodology and the related data requirements. Our case study helps comprehend the complexity of extracting Energy-Oriented Digital Twins in smart manufacturing systems, offering insights into the integration of production and energy-related processes and behaviors of the system.","url":"https://doi.org/10.1109/wsc63780.2024.10838974","authors":["Atieh Khodadadi","Sanja Lazarova‐Molnar"],"tags":["Computer science","Extraction (chemistry)","Data modeling","Industrial engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838974","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W7159868150","name":"Human digital twins in sports and rehabilitation: a systematic review","source":"openalex","abstract":"Digital twins are increasingly shaping how humans interact with complex representations of the body in sport and rehabilitation, yet the design, use, and evaluation of Human Digital Twins in these domains remain fragmented and insufficiently characterised from a Human–Computer Interaction perspective. This study presents a systematic literature review aimed at analysing how Human Digital Twins have been designed, implemented, and evaluated in these domains. Following the PRISMA 2020 protocol, 32 papers were analysed with respect to application domains, system goals, technologies, interaction modalities, user involvement, and the role of artificial intelligence. The results reveal a prevalence of rehabilitation-oriented applications, while sports-related studies remain less consolidated. Wearable sensors, inertial measurement units, and vision systems are the most commonly adopted technologies, and the majority of interfaces rely on expert-oriented dashboards. User involvement is limited, with only two studies reporting participation during design and most evaluations involving fewer than 20 participants. AI techniques are employed in 23 out of 32 studies (72%), although their implementation is often only briefly described. The findings highlight significant gaps in participatory design practices, interaction diversity, and methodological maturity, suggesting the need for more human-centred, transparent, and robust approaches to the development of Human Digital Twins in sports and rehabilitation.","url":"https://doi.org/10.1080/0144929x.2026.2660222","authors":["Barbara Rita Barricelli","Federico Cerutti","Stefano Morzenti"],"tags":["Psychology","Computer science","Internet privacy","Social psychology","Applied psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-29","doi":"https://doi.org/10.1080/0144929x.2026.2660222","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4403402994","name":"Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine","source":"openalex","abstract":"Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advanced computational methods. These innovations have unlocked unprecedented opportunities for the acceleration of drug discovery and delivery, the optimization of treatment regimens, and the improvement of patient outcomes. AI is swiftly transforming the pharmaceutical industry, revolutionizing everything from drug development and discovery to personalized medicine, including target identification and validation, selection of excipients, prediction of the synthetic route, supply chain optimization, monitoring during continuous manufacturing processes, or predictive maintenance, among others. While the integration of AI promises to enhance efficiency, reduce costs, and improve both medicines and patient health, it also raises important questions from a regulatory point of view. In this review article, we will present a comprehensive overview of AI's applications in the pharmaceutical industry, covering areas such as drug discovery, target optimization, personalized medicine, drug safety, and more. By analyzing current research trends and case studies, we aim to shed light on AI's transformative impact on the pharmaceutical industry and its broader implications for healthcare.","url":"https://doi.org/10.3390/pharmaceutics16101328","authors":["Dolores R. Serrano","Francis C. Luciano","Brayan J. Anaya","Baris Öngoren","Aytug Kara","Gracia Molina","Bianca I. Ramirez","Sergio A. Sánchez-Guirales","JJ Martínez Simón","Greta Tomietto","Chrysi Rapti","Helga K. Ruiz","Satyavati Rawat","Dinesh Kumar","Aikaterini Lalatsa"],"tags":["Personalized medicine","Pharmaceutical industry","Transformative learning","Drug discovery","Precision medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-14","doi":"https://doi.org/10.3390/pharmaceutics16101328","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W7125651156","name":"Data-Driven Operational Assessment Method and Digital Twin System for Unmanned Surface Vehicles","source":"openalex","abstract":"To address the challenge of effectively leveraging multi-source data for automated operational assessment of Unmanned Surface Vehicles (USVs) and utilizing digital technologies for monitoring and control, this paper proposes a data-driven state assessment method for surface unmanned systems and develops a digital twin system tailored for USVs. First, a dual-channel feature modeling mechanism is constructed by integrating physically interpretable statistical features with temporal convolutional features. Second, a complementary modeling strategy is adopted using CatBoost for static classification and GRU for dynamic modeling, while a Covariance Intersection (CI) fusion strategy is introduced to enhance the classification performance and adaptability of the model. Finally, a digital twin system is designed that incorporates Position Estimation, Attitude Estimation, and State Evaluation, enabling real-time monitoring and multidimensional visualization of USV operational states. Experimental results demonstrate that the proposed method outperforms baseline approaches in terms of accuracy, F1-score, and other key metrics, exhibiting strong generalization capability and promising potential for practical deployment.","url":"https://doi.org/10.62762/tmi.2025.444910","authors":["Yuting Bai","Jiyuan Hu","Eziz Tursun","Hurxida Yimit"],"tags":["Computer science","Intersection (aeronautics)","Adaptability","Visualization","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.62762/tmi.2025.444910","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W7164667332","name":"Fostering sustainability with digital twins and gamification: a systematic review","source":"openalex","abstract":"Abstract This systematic review investigates how digital twin technologies are combined with gamification to support sustainability across different domains. Using the PRISMA 2020 framework, we retrieved 122 records from three databases. After screening, 23 papers satisfying the inclusion criteria were analyzed in depth. Each one was examined along nine dimensions: application domain, motivation, case study, use of real-time data synchronization, digital twin type, gamification elements, visualization and interaction modalities, user involvement, and alignment with the United Nations Sustainable Development Goals. The results reveal a research landscape that is still emerging, characterized by heterogeneous methodologies, limited maturity of digital twin implementations, and a predominant use of basic gamification strategies. The findings of this review informed a set of design implications and the formulation of a conceptual framework to guide the design of gamified digital twins that foster sustainability in its various forms.","url":"https://doi.org/10.1007/s11042-026-21730-8","authors":["Maryam Samiepour","Barbara Rita Barricelli","Daniela Fogli"],"tags":["Sustainability","Computer science","Inclusion (mineral)","Set (abstract data type)","Conceptual framework"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-13","doi":"https://doi.org/10.1007/s11042-026-21730-8","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414612878","name":"DESIGN AND VERIFICATION OF AN INNOVATIVE CERAMIC LUMBAR INTERBODY FUSION CAGE USING DIGITAL TWINS","source":"openalex","abstract":"Lumbar interbody fusion (LIF) is the gold standard to treat severe lumbar interbody disk pathologies. Standard cages in titanium and peek exhibit certain limitations, including the potential for subsidence and pseudoarthrosis. This suggests an unmet need for the development of innovative implants, exploiting new materials, such as b.Bone™ (GreenBone Ortho, Italy), a biphasic ceramic obtained through a biomorphic transformation from rattan wood. A biodegradable interbody cage can both induce bone formation and be completely resorbed over time. However, the mechanical resistance of such brittle material becomes a critical aspect to be considered during the design process. Digital twins (DT) allow to save both time and costs compared to standard experimental try-and-error approaches, obtaining directly the optimized geometry to be manufactured and tested. This work presents a DT-driven cage geometry optimization exploiting a fully-parametric lumbar spine model (J Biomech. 2024 Feb:164:111951) and LIF surgery simulations. The design process' final goal is the optimized cage prototype manufacturing and test, according to standard ISO 23089-2:2021. A lateral approach (LLIF) was selected and simulated through detailed finite element model considering 3 steps: (i) site preparation and vertebrae distraction, (ii) cage insertion and posterior fixation and (iii) application of complex loading conditions combining follower load with a bending movement in flexion, extension, axial rotation and lateral bending. Cage design was iteratively optimized to minimize failed volume and bone-cage interface strains (indicating subsidence). This involved adjusting cage medio-lateral width and incorporating variable holes for instrumentation accommodation and graft placement. Optimized designs were digitally tested against ISO23089-2 standards (axial compression, torsion, shear and subsidence) before manufacturing. All cage designs led to a reduction up to 98% in the range of motion, ensuring an effective fixation. In terms of cage mechanical resistance, flexion was the most critical loading condition. Nevertheless, the optimized cage design presented a failed volume below 10% for every simulated task. As expected, the surrounding bone was highly strained, similar or lower than what it is typically observed for standard titanium and peek cages. DT allow deep investigation of the mechanical response of the ceramic cage once implanted in human lumbar spine and the interaction between cage and bone. The iterative process allowed a cage design optimization leading to rapid manufacturing of prototypes, which was preceded by a DT of the mechanical tests prescribed by the standard ISO23089-2, to further reduce the number of tested prototypes.","url":"https://doi.org/10.1302/1358-992x.2025.8.054","authors":["Davide Ninarello","Giorgia Brambilla","Camilla Crivellaro","Luigi La Barbera"],"tags":["Cage","Materials science","Ceramic","Structural engineering","Spinal fusion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.1302/1358-992x.2025.8.054","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W7166853034","name":"Decision-grade digital twins for in situ bioremediation of contaminated soil and groundwater: a critical review","source":"europepmc","abstract":"bioremediation often fail because monitoring data are not mapped to the causal process they are intended to prove. This critical review defines decision-grade digital twins as inferential systems, not as visualization tools, data lakes, or calibrated trend models. A decision-grade twin must connect a living conceptual site model with evidence streams that test competing hypotheses, prediction models with stated admissibility limits, uncertainty updates, and auditable trigger logic. The review evaluates how geochemistry, compound-specific isotope analysis, functional genes and transcripts, flux measurements, geophysical imaging, toxicity endpoints, and high-frequency sensing can support claims about pathway activation, treatment limitation, rebound risk, secondary impacts, and closure readiness. It also distinguishes the decision value of reactive transport models, hybrid process-data models, surrogate models, data-driven surveillance, and microbial process representations. Across hydrocarbons and polycyclic aromatic hydrocarbons, chlorinated solvents, pesticides, pharmaceuticals, and per- and polyfluoroalkyl substances, decision value depends on whether the evidence can distinguish among reaction, retention, redistribution, metabolite formation, and durable risk reduction. The review concludes that digital twins deserve decision-grade status only when they reduce ambiguity that can affect intervention choice, operating intensity, switching criteria, monitoring design, secondary-risk management, or closure judgment.","url":"https://doi.org/10.3389/fbioe.2026.1866957","authors":["Mariusz Cycoń"],"tags":["Bioremediation","Ambiguity","Environmental science","Biochemical engineering","Visualization"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.3389/fbioe.2026.1866957","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"oa:W4415280908","name":"Towards Evolving Actor–Network Ontologies: Enabling Reflexive Digital Twins for Cultural Heritage","source":"openalex","abstract":"This paper introduces the concept of evolving actor–network ontologies (EANO) as a new paradigm for cultural digital twins. Building on actor–network theory, EANO reframes ontologies from static representations into reflexive, dynamic structures in which semantic interpretations are continuously negotiated among heterogeneous actors. We propose a five-layer architecture that operationalizes this principle, embedding reflexivity, actor salience, and systemic parameters such as resistance and volatility directly into the ontological model. To illustrate this approach, we present minimal simulations that demonstrate how different actor constellations and systemic conditions lead to distinct patterns of semantic evolution, ranging from expert erosion to contested equilibria and balanced coexistence. Rather than serving as predictive models, these simulations exemplify how EANO captures semantic plurality and contestation within a transparent and interpretable framework. The contribution of this work is thus twofold: it provides a conceptual foundation for evolving ontologies in digital heritage and a lightweight demonstration of how such models can be instantiated and explored computationally.","url":"https://doi.org/10.3390/info16100892","authors":["George Pavlidis","Vasileios Arampatzakis","Vasileios Sevetlidis","Anestis Koutsoudis","Fotis Arnaoutoglou","George Ioannakis","Chairi Kiourt"],"tags":["Reflexivity","Computer science","Embedding","Semantic Web","Epistemology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"https://doi.org/10.3390/info16100892","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4408070838","name":"Research on Water Resource Management in Yellow River Irrigation Areas Based on Digital Twins","source":"openalex","abstract":"With the swift progress of information technology, the deployment of digital twin technology in water resources management within the Yellow River Irrigation District (YRID) demonstrates considerable promise.This study seeks to investigate the effectiveness of digital twin technology in addressing issues such as water scarcity, the imbalance between supply and demand, insufficient scientific data support and intelligent decision-making systems, as well as the challenges associated with water fee collection and management.By developing a digital twin model, accurate simulation, efficient data analysis, and intelligent decision support for the water resources in YRID were achieved, significantly enhancing the scientific basis and accuracy of water resource management.The findings indicate that the implementation of digital twin technology can lead to approximately a 15% reduction in water resource waste, a 20% improvement in water resource utilization efficiency, and optimization of the water fee collection and management processes to lower overall management costs.These outcomes not only offer innovative solutions for water resource management in the Yellow River Irrigation District but also provide valuable lessons for managing water resources in other irrigation areas.","url":"https://doi.org/10.2991/978-94-6463-658-1_34","authors":["Zhen Liu","Guozheng Li","Fang Dong","Zhenxing Hui"],"tags":["Water resource management","Irrigation","Irrigation management","Resource (disambiguation)","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.2991/978-94-6463-658-1_34","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4414965476","name":"My more-than-human digital twin: embodiment, feminist AI, and the struggle for representation","source":"openalex","abstract":"Abstract Artificial intelligence is an entangled, more-than-human relational network, shaping and being shaped by the societal, cultural, and political structures in which it is embedded. This paper explores the role of artists as critical practitioners engaging with AI, to examine how AI-generated self-representations materialise identity and reinforce or counter well-known AI biases in gender, race, and embodiment. Drawing on feminist technoscience – particularly its focus on the entanglement of body, environment, and technology – and autotheory, the study treats generative AI as an instrument of vision and voice. Using generative AI to create a partial digital twin, a self-portrait, is situated as an inherently embodied and relational practice. Through a combination of desk-based research and a practice-based, reflexive engagement with RunwayML, the paper documents the author’s attempt to create an identical-looking digital twin, revealing systemic biases embedded in AI-generated self-portraits. The paper uses embodiment as connective tissue linking theoretical and lived experience. Generative AI consistently misrepresented gender and age, defaulting to hyper-feminized aesthetics and youthful features while reliably reproducing Whiteness. The study also critically examines voice cloning and text-to-speech synthesis, highlighting how AI’s training data constrain language, accent, and vocal traits. By positioning AI-generated imagery and voice synthesis as material-discursive practices, the research extends debates on bias, agency, and self-representation in human–machine interactions. It argues that artists working with generative AI not only expose its epistemic limitations but also provide counter-narratives through creative, embodied interventions. The findings highlight the ways artists can help to meet the urgent need for more inclusive AI infrastructures, transparent dataset practices, and a reframing of digital self-representation beyond generative AI’s algorithmic defaults.","url":"https://doi.org/10.1007/s00146-025-02659-2","authors":["Jane Prophet"],"tags":["Reflexivity","Embodied cognition","Sociology","Generative grammar","Performative utterance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-08","doi":"https://doi.org/10.1007/s00146-025-02659-2","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4407668395","name":"Digitalization as a catalyst for social sustainability in supply chains: an ISM-fuzzy MICMAC and DEMATEL approach","source":"openalex","abstract":"Abstract This study explores the transformative role of digitalization in enhancing social sustainability within supply chains. Social sustainability, a critical dimension alongside economic and environmental sustainability, aims to balance environmental health and financial stability by improving the quality of life within supply chain networks. Digital technologies introduced by Industry 4.0 and further developed by Industry 5.0 have significantly impacted various aspects of social sustainability. We investigate the interactions and significance of social sustainability enablers influenced by these technologies. Key enablers include worker well-being support, skills development, and equitable educational opportunities. To perform this analysis, we employ the ISM-Fuzzy MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée à un Classement) and DEMATEL (Decision Making Trial and Evaluation Laboratory) methods, which are widely recognized in the literature for their effectiveness. Our findings provide a strategic roadmap for supply chain stakeholders by highlighting the complex relationships between digitalization and social sustainability enablers. We identify key enablers such as digital inclusion, privacy, digital skills, visibility, innovative business design, decision-making, education, and capacity building to achieve a more human-centered and sustainable supply chain. The results clearly reveal the relationships among these enablers, forming a hierarchical structure that underscores their interactions. Additionally, this study contributes to the existing literature by addressing the often-overlooked social dimension of sustainability, offering practical insights for policymakers and business leaders on leveraging digital technologies for sustainable development.","url":"https://doi.org/10.1007/s10668-025-06011-y","authors":["Cihat Öztürk"],"tags":["Sustainability","Sustainable development","Business","Fuzzy logic","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-17","doi":"https://doi.org/10.1007/s10668-025-06011-y","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4392847213","name":"Unmanned Aerial Systems (UAS)-Derived 3D Models for Digital Twin Construction Applications","source":"openalex","abstract":"The advent of Construction 4.0 has marked a paradigm shift in industrial development, integrating advanced technologies such as cyber-physical systems (CPS), sensors, unmanned aerial systems (UAS), building information modeling (BIM), and robotics. Notably, UASs have emerged as invaluable tools seamlessly embedded in construction processes, facilitating the comprehensive monitoring and digitization of construction projects from the early design phase through construction to the post-construction phases. Equipped with various sensors, such as imaging sensors, light detection and rangers (LiDAR), and thermal sensors, UASs play an important role in data collection processes, especially for 3D point cloud generation. Presently, UASs are recognized as one of the most effective means of generating a Digital Twin (DT) of construction projects, surpassing traditional methods in terms of speed and accuracy. This chapter provides a comprehensive overview of the applications of UAS-derived 3D models in DT, outlining their advantages and barriers and offering recommendations to augment their quality and accuracy.","url":"https://doi.org/10.5772/intechopen.1004746","authors":["Jhonattan G. Martinez","Luis A. Alarcon","Søren Wandahl"],"tags":["Digitization","Point cloud","Systems engineering","Computer science","Lidar"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-14","doi":"https://doi.org/10.5772/intechopen.1004746","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4390480315","name":"Mapping damages from inspection images to 3D digital twins of large‐scale structures","source":"openalex","abstract":"Abstract This study develops a methodology to create detailed visual Digital Twins of large‐scale structures with their realistic damages detected from visual inspection or nondestructive testing. The methodology is demonstrated with a transition piece of an offshore wind turbine and a composite rotor blade, with surface paint damage and subsurface delamination damage, respectively. Artificial Intelligence and color threshold segmentation are used to classify and localize damages from optical images taken by drones. These damages are digitalized and mapped to a 3D geometry reconstruction of the large‐scale structure or a CAD model of the structure. To map the images from 2D to 3D, metadata information is combined with the geo placement of the large‐scale structure's 3D model. The 3D model can here both be a CAD model of the structure or a 3D reconstruction based on photogrammetry. After mapping the damage, the Digital Twin gives an accurate representation of the structure. The location, shape, and size of the damage are visible on the Digital Twin. The demonstrated methodology can be applied to industrial sectors such as wind energy, the oil and gas industry, marine and aerospace to facilitate asset management.","url":"https://doi.org/10.1002/eng2.12837","authors":["Hans‐Henrik von Benzon","Xiao Chen"],"tags":["Scale (ratio)","Damages","Computer science","Computer graphics (images)","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1002/eng2.12837","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4415280535","name":"Reliability Assessment of High-Speed Train Gearbox Based on Digital Twin and WHO-WPHM","source":"openalex","abstract":"The gearbox is essential for power transmission in high-speed trains, and its reliability directly impacts operational safety. Accurate monitoring data and effective assessment methods are crucial for accurately assessing its reliability. This study is based on digital twin (DT) technology, precisely deploying virtual sensors to collect vibration data from critical measurement points accurately. By integrating the Wild Horse Optimizer (WHO) and the Weibull Proportional Hazards Model (WPHM), it achieved reliability assessment for a high-speed train gearbox. First, a DT framework for the high-speed train gearbox was established. Taking the gear pair, a critical power transmission component in the gearbox, as an example, a DT model of the gear pair was built on Ansys Twin Builder, virtual sensors were deployed at critical measurement points, and vibration acceleration data was collected. Then, a WPHM reliability assessment model was established, and the WHO was used to estimate and optimize the WPHM parameters. Finally, the response covariates reduced by the Local Tangent Space Alignment (LTSA) were used as model inputs, and the WPHM was applied to assess the reliability of critical parts based on the collected data. The web-deployed DT model was delivered within 13 s. This achieved a simulation acceleration factor of 2.35 × 104, compared to traditional methods. The number of iterations for the WOA was reduced by 62.9% compared to the WHO and by 48.1% compared to the HHO. The reliability assessment results align with the actual operating mileage status of the gear pair, thus validating the effectiveness and feasibility of this method.","url":"https://doi.org/10.3390/s25206418","authors":["Tengfei Wang","Yun Chen","Siying Li","Jinhe Lv","Yumei Liu","Jinyu Yang","Qiushi Yan"],"tags":["Reliability (semiconductor)","Weibull distribution","Reliability engineering","Acceleration","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-17","doi":"https://doi.org/10.3390/s25206418","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412793528","name":"AI Powered Digital Twins for Predictive Maintenance and Operational Optimization of Renewable Energy Systems","source":"openalex","abstract":"AI Powered Digital Twins for Predictive Maintenance and Operational Optimization of Renewable Energy Systems Habeeb A. Shittu1*, Mujeeb A. Shittu1 Abstract This study presents the design, implementation, and evaluation of an AI powered hybrid digital twin framework for predictive maintenance and operational optimization in renewable energy systems. By integrating physics-based modeling with machine learning techniques, […]","url":"https://doi.org/10.63680/ijsate0324085.011","authors":["Habeeb A. Shittu"],"tags":["Renewable energy","Predictive maintenance","Computer science","Energy (signal processing)","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-29","doi":"https://doi.org/10.63680/ijsate0324085.011","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4405787366","name":"Digital Twins in the Metaverse for Collaborative Discovery of Contextual Factors","source":"openalex","abstract":"In this paper we outline how digital twins of cities can create Metaverse spaces which stimulate and facilitate collaborative brainstorming on societal problems whilst helping discover relevant contextual factors. Such digital twins of places in effect constitute boundary objects bridging the spheres of interest and understanding between stakeholders from different backgrounds, allowing them to understand each other better and derive better collaborative outcomes. To illustrate our contribution, we use the example of the Manchester Digital Twin, a model of Manchester within the Data Visualisation Observatory which we use to overlay a variety of geographically relevant datasets. Switching between the sets and using the built-in capabilities of simulation, we can facilitate brainstorming between city planners, public health officials and local community leaders, for example, on how to address societal problems such as obesity prevalence and associated health outcomes. We illustrate how, in the process of working with the digital twin, the stakeholders can become aware of relevant yet previously unconsidered contextual factors such as proximity to green spaces, bike lanes and fast-food outlets.","url":"https://doi.org/10.1109/imeta62882.2024.10808107","authors":["Olga Menukhin","Nikolay Mehandjiev","Qudamah Quboa"],"tags":["Metaverse","Computer science","Human–computer interaction","Data science","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-26","doi":"https://doi.org/10.1109/imeta62882.2024.10808107","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:34.568Z"},{"id":"oa:W4417324965","name":"Digital twin management platform integrating multi-agent system for resource utilisation of crop-livestock waste and its applications","source":"openalex","abstract":"To address the issues in traditional crop-livestock waste recycling, such as low resource utilisation efficiency and insufficient management effectiveness, this study proposes a digital twin-based management method incorporating multi-agent system. Firstly, the key factors influencing crop-livestock waste recycling were analysed, and a hierarchical five-tiered management architecture was proposed to achieve closed-loop coordination across the entire production process. Secondly, a dual data-model driven strategy was adopted to construct digital twin models of the production system. This approach deeply integrates the distributed decision-making advantages of multi-agent system with the simulation and predictive capabilities of digital twin, enabling multi-dimensional simulation, multi-objective optimisation, and prospective production capacity forecasting for all elements of the production process. Additionally, a virtual-real bidirectional interactive verification mechanism enhances prediction accuracy and resource allocation efficiency, forming an innovative application model of ‘digital pre-evaluation–parameter optimisation–physical validation’. Ultimately, case validation demonstrates that this platform reduces raw material transportation cost by about 15%, decreases unplanned equipment downtime by over 50%, and effectively improves resource utilisation efficiency. It offers practical value and broad application prospects for advancing green and low-carbon agricultural development.","url":"https://doi.org/10.1080/27525783.2025.2598492","authors":["Zhaoming Chen","Zhao Yin","Zeyu Xu","Fengjun Yin","Song Cheng"],"tags":["Resource (disambiguation)","Resource management (computing)","Computer science","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-15","doi":"https://doi.org/10.1080/27525783.2025.2598492","addedAt":"2026-09-01T01:47:34.568Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403090845","name":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2024","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-72069-7","authors":["Marius George Linguraru","Qi Dou","Aasa Feragen","Stamatia Giannarou","Ben Glocker","Karim Lekadir","Julia A. Schnabel"],"tags":["Computer science","Intervention (counseling)","Multimedia","Computer graphics (images)","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-72069-7","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407898368","name":"Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis","source":"openalex","abstract":"Background: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools. objectives: This study aimed to develop a prognostic and treatment guidance tool tailored to older adult patients using artificial intelligence (AI) and a combination of clinical and biological features. Methods: A retrospective analysis was conducted on data from women aged 70+ years with HER2-negative early-stage breast cancer treated at the French Léon Bérard Cancer Center between 1997 and 2016. Manifold learning and machine learning algorithms were applied to uncover complex data relationships and develop predictive models. Predictors included age, BMI, comorbidities, hemoglobin levels, lymphocyte counts, hormone receptor status, Scarff-Bloom-Richardson grade, tumor size, and lymph node involvement. The dimension reduction technique PaCMAP was used to map patient profiles into a 3D space, allowing comparison with similar cases to estimate prognoses and potential treatment benefits. Results: Out of 1229 initial patients, 793 were included after data refinement. The selected predictors demonstrated high predictive efficacy for 5-year mortality, with mean area under the curve scores of 0.81 for Random Forest Classification and 0.76 for Support Vector Classifier. The tool categorized patients into prognostic clusters and enabled the estimation of treatment outcomes, such as chemotherapy benefits. Unlike traditional models that focus on isolated factors, this AI-based approach integrates multiple clinical and biological features to generate a comprehensive biomedical profile. Conclusions: This study introduces a novel AI-driven prognostic tool for older adult patients with breast cancer, enhancing treatment guidance by leveraging advanced machine learning techniques. The model provides a more nuanced understanding of disease dynamics and therapeutic strategies, emphasizing the importance of personalized oncology care.","url":"https://doi.org/10.2196/64000","authors":["Pierre‐Etienne Heudel","Mashal Claude Ahmed","Félix Renard","Arnaud Attyé"],"tags":["Preprint","Breast cancer","Medicine","Oncology","Multivariate analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-24","doi":"https://doi.org/10.2196/64000","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4413245925","name":"Multiplayer Virtual Labs for Electronic Circuit Design: A Digital Twin-Based Learning Approach","source":"openalex","abstract":"The rapid development of digital technologies is opening up new avenues for transforming education, particularly in fields that require practical training, such as electronic circuit design. In this context, this paper presents the development of a multiplayer virtual learning platform that makes use of digital twins technology to offer a realistic, collaborative experience in a simulated environment. Users can interact in real time through synchronized avatars, voice communication, and multiple viewing angles, simulating a physical classroom. Evaluation of the platform with undergraduate students showed positive results in terms of usability, collaboration, and learning effectiveness. Despite the limitations of the sample, the findings reinforce the prospect of virtual laboratories as a modern tool in technical education.","url":"https://doi.org/10.3390/electronics14163163","authors":["Konstantinos Sakkas","Niki Eleni Ntagka","Michail Spyridakis","Ανδρέας Μιλτιάδους","Euripidis Glavas","Alexandros T. Tzallas","Νικόλαος Γιαννακέας"],"tags":["Usability","Multimedia","Computer science","Context (archaeology)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-08","doi":"https://doi.org/10.3390/electronics14163163","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4413920276","name":"The Ethical Risks and Regulations of Medical Digital Twin Technology","source":"openalex","abstract":"Medical digital twin technology has shown tremendous potential in personalized medicine, disease prevention and treatment optimization through real-time monitoring, simulation and prediction of individual health conditions by creating virtual models of patients.However, with the rapid development of this technology, its potential ethical issues have also attracted widespread attention.Firstly, medical digital twin technology involves collecting and processing a large amount of personal health data, and ensuring the privacy and security of this data becomes the primary concern.Secondly, the biases and unreliability generated by big data algorithms during the operation of the technology also need to be considered.Lastly, the digital gap and fairness issues generated by medical digital twin technology should not be overlooked.Therefore, in response to these ethical challenges, proposing corresponding ethical regulations becomes necessary, promoting the application of digital twin technology to enhance medical quality without infringing on patients´ legitimate rights and interests, and promoting fairness and justice in the medical field.","url":"https://doi.org/10.4067/s1726-569x2025000200337","authors":["Sun Ying","Ran Lu"],"tags":["Engineering ethics","Medicine","Risk analysis (engineering)","Political science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.4067/s1726-569x2025000200337","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415191752","name":"A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation","source":"openalex","abstract":"Abstract The optimization-based damage detection and damage state digital twinning capabilities are examined herein of a novel conditional-labeled generative adversarial network methodology. The framework outperforms current approaches for fault anomaly detection as no prior information is required for the health state of the system: a topic of high significance for real-world applications. Specifically, current artificial intelligence-based digital twinning approaches suffer from the uncertainty related to obtaining poor predictions when a low number of measurements is available, physics knowledge is missing, or when the damage state is unknown. To this end, an unsupervised framework is examined and validated rigorously on the benchmark structural health monitoring measurements of Z24 Bridge: a post-tensioned concrete highway bridge in Switzerland, as a part of a full-scale monitoring and controlled damage experiment. In implementing the approach, firstly, different same damage-level measurements are used as inputs, while the model is forced to converge conditionally to two different damage states. Secondly, the process is repeated for a different group of measurements. Finally, the convergence scores are compared to identify which one belongs to a different damage state. The network optimization process for both healthy-to-healthy and damage-to-healthy input data creates, simultaneously, measurements for digital twinning purposes at different damage states, capable of pattern recognition and machine learning data generation. In contrast to conventional supervised methods, the proposed conditional-labeled generative adversarial network enables both unsupervised damage detection and generation of damage state measurements. Further to this process, a support vector machine classifier and a principal component analysis procedure is developed to assess the generated and real measurements of each damage category, serving as a secondary new dynamics learning indicator in damage scenarios. Importantly, the approach is shown to capture accurately damage over healthy measurements, providing a powerful tool for vibration-based system-level monitoring and scalable infrastructure resilience.","url":"https://doi.org/10.1007/s00158-025-04162-0","authors":["Marios Impraimakis","Evangelia Nektaria Palkanoglou"],"tags":["Structural health monitoring","Computer science","Generative grammar","Benchmark (surveying)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-15","doi":"https://doi.org/10.1007/s00158-025-04162-0","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4415874488","name":"Using a digital twin and smart services to enable automatic generation of context-sensitive instructions","source":"openalex","abstract":"The increasing diversity and shorter life cycles of technical products pose significant challenges for manufacturing companies, particularly in the context of providing specific and context-sensitive instructions to employees, especially in domains including maintenance, assembly and disassembly. This challenge holds significant importance in the context of the current skilled worker shortage. This paper proposes a solution by leveraging digital twin technology and smart services to automate the generation of context-sensitive instructions. The research outlines the development of a smart service system that uses real-time data from digital twins to create and deliver adaptive and user-specific instructions via smart devices. A conceptual design of the smart service system, a prototypical implementation using a rolling mill maintenance task, and the verification and validation of the developed system were carried out. The results indicate that the proposed system effectively addresses the challenges of traditional manual instructions, enhancing efficiency, accuracy, and user satisfaction. • Leverages digital twin technology for context-sensitive manufacturing instructions. • Smart services generate adaptive, user-specific guidance in real-time. • Validated system improves efficiency, accuracy, and user satisfaction in industrial applications. • Demonstrates reduced errors and faster task execution in a rolling mill maintenance case study.","url":"https://doi.org/10.1016/j.jmsy.2025.10.007","authors":["Karl Lossie","Jan Hendrik Hellmich","Junjie Liang","Jonas Baum","Amon Göppert","Dennis Grunert","Robert Schmitt"],"tags":["Context (archaeology)","Service (business)","Computer science","Task (project management)","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-04","doi":"https://doi.org/10.1016/j.jmsy.2025.10.007","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4324130227","name":"The rise of ChatGPT : Exploring its potential in medical education","source":"openalex","abstract":"The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, such as ChatGPT, can serve as virtual teaching assistants, providing students with detailed and relevant information and perhaps eventually interactive simulations. ChatGPT has the potential to increase student engagement and enhance student learning, though research is needed to confirm this. The challenges and limitations of ChatGPT must also be considered, including ethical issues and potentially harmful effects. It is crucial for medical educators to keep pace with technology's rapidly changing landscape and consider the implications for curriculum design, assessment strategies, and teaching methods. Continued research and evaluation are necessary to ensure the optimal integration of AI-based learning tools into medical education.","url":"https://doi.org/10.1002/ase.2270","authors":["Hyunsu Lee"],"tags":["Pace","Curriculum","Computer science","Problem-based learning","Medical education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-14","doi":"https://doi.org/10.1002/ase.2270","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7131071926","name":"Digital materials ecosystem: from databases to AI agents for autonomous discovery","source":"openalex","abstract":"The concept of a digital materials ecosystem represents a new paradigm in materials research, where data, theory, and automation are integrated into a unified and iterative framework. By combining reliable databases, physical frameworks, and intelligent data analysis, materials discovery is evolving from empirical exploration toward a systematic and predictive science. The rapid growth of data and artificial intelligence (AI) has enabled the identification of complex structure-property relationships, while advances in automated synthesis and high-throughput characterization are closing the loop between prediction and validation. Looking forward, the field must focus on building trustworthy and benchmarked datasets, developing interpretable and high-precision models, and designing AI tools that embody human scientific reasoning. Equally important is ensuring standardization and consistency between digital inputs and experimental responses. Together, these efforts will transform materials discovery from data accumulation into genuine knowledge generation, paving the way for an autonomous and self-improving research ecosystem that accelerates both fundamental understanding and technological innovation.","url":"https://doi.org/10.1039/d5sc09229a","authors":["Di Zhang","Xue Jia","Yuhang Wang","Heng Liu","Qian Wang","Seong‐Hoon Jang","Daksh Shah","Songbo Ye","Hung Ba Tran","Hao Li"],"tags":["Automation","Computer science","Digital ecosystem","Database","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1039/d5sc09229a","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4402480106","name":"Probabilistic digital twin for continuous bridge performance modelling","source":"openalex","abstract":"The multiplicity of possible different and possibly interacting processes contributing or governing deterioration processes in bridges requires systems representations way beyond the deterministic approach where the focus is on few processes and corresponding models. A Probabilistic Digital Twin (PDT), supported by Structural Health Monitoring (SHM) and big data from observations and monitoring, can provide a novel contribution to support integrity management with knowledge improved over time. This paper explores the preliminary analyses for the future full development of the PDT as part of the Bridgitise Project. An approach to build the PDT of a bridge will be developed using FEM modelling of the deterioration effects. The simulated structural responses under deterioration progressing in time will be used to develop a PDT model that will then be utilized as a representation of the best available knowledge and applied to generate simulations of very significant numbers of structural performance scenarios over time.","url":"https://doi.org/10.1201/9781003483755-409","authors":["Paola Daró","Dario La Mazza","F. Basone","G. Mancini","M.P. Limongelli","M. H. Faber"],"tags":["Bridge (graph theory)","Probabilistic logic","Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.1201/9781003483755-409","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4391272823","name":"Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology","source":"openalex","abstract":"Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital twins for clinical applications. Heart modeling is one of the fastest-growing fields, which favors the effective application of HDTs. The clinical application of HDTs will be increasingly widespread in the future of healthcare services and has a huge potential to form part of the mainstream in medicine. However, it requires the development of both models and algorithms for the analysis of medical data, and advances in Artificial Intelligence (AI) based algorithms have already revolutionized image segmentation processes. Precise segmentation of lesions may contribute to an efficient diagnostics process and a more effective selection of targeted therapy. In this paper, a brief overview of recent achievements in HDT technologies in the field of cardiology, including interventional cardiology was conducted. HDTs were studied taking into account the application of Extended Reality (XR) and AI, as well as data security, technical risks, and ethics-related issues. Special emphasis was put on automatic segmentation issues. It appears that improvements in data processing will focus on automatic segmentation of medical imaging in addition to three-dimensional (3D) pictures to reconstruct the anatomy of the heart and torso that can be displayed in XR-based devices. This will contribute to the development of effective heart diagnostics. The combination of AI, XR, and an HDT-based solution will help to avoid technical errors and serve as a universal methodology in the development of personalized cardiology. Additionally, we describe potential applications, limitations, and further research directions.","url":"https://doi.org/10.48550/arxiv.2401.14208","authors":["Zofia Rudnicka","Klaudia Proniewska","Mark D. Perkins","Agnieszka Pręgowska"],"tags":["Computer science","Artificial intelligence","Mainstream","Segmentation","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-25","doi":"https://doi.org/10.48550/arxiv.2401.14208","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4414192589","name":"Using digital twins to understand environmental health impacts","source":"openalex","abstract":"The growth of Internet of Things (IoT) and wearable sensors has advanced digital twin (DT) technology in urban planning, utility management, and healthcare by providing real-time data. Researchers, public health officials, and first responders can leverage DTs to understand the complex interactions between people and the environment and to model the impacts of the built environment and population density on local temperature and air quality, as well as the health impacts of these exposures. The combination of environmentally aware human DTs and smart cities (including agricultural land) could provide better strategies for forecasting vector-borne or environmentally driven diseases, which are predicted to increase over the next decades because of warmer temperatures and more contact between people, animals, and insects caused by higher population densities. This research brief discusses the current state of environmentally aware DTs and highlights areas where the technology needs to improve, such as the need to establish data and metadata standards for IoT and wearable sensors, the use of edge computing resources to achieve scaling and rapidly communicate results better, and access to labeled data. Improving environmentally aware DT technology could help establish more effective forecasting and mitigation strategies to reduce the loss of human life from natural disasters and disease outbreaks.","url":"https://doi.org/10.3768/rtipress.2025.rb.0043.2509","authors":["RTI International","Meghan Hegarty‐Craver","Pooja Gaur","Hope Davis‐Wilson","D. Temple"],"tags":["Leverage (statistics)","Wearable technology","Population","Wearable computer","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-15","doi":"https://doi.org/10.3768/rtipress.2025.rb.0043.2509","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4405970339","name":"Exploring digital therapeutics for mental health: AI-driven innovations in personalized treatment approaches","source":"openalex","abstract":"Digital therapeutics have emerged as a transformative approach in addressing mental health challenges, offering evidence-based, technology-driven interventions. As mental health disorders become increasingly prevalent globally, traditional methods of treatment often fail to meet the growing demand due to limited accessibility, stigmatization, and resource constraints. Digital therapeutics leverage advanced technologies, including artificial intelligence (AI), to bridge these gaps, providing scalable and personalized mental health solutions. AI has revolutionized this domain by enabling adaptive, data-driven interventions that cater to individual needs, ranging from mood disorders to complex conditions like post-traumatic stress disorder (PTSD) and depression. At a broader level, digital therapeutics represent a paradigm shift in healthcare, transitioning from generalized care models to highly personalized and proactive frameworks. AI-driven innovations, such as natural language processing (NLP), predictive analytics, and machine learning algorithms, have enhanced the efficacy of digital mental health tools by facilitating real-time monitoring, symptom analysis, and tailored therapeutic recommendations. These innovations integrate seamlessly with wearables, mobile applications, and virtual reality, providing patients with accessible and engaging platforms for mental health management. However, while AI-based digital therapeutics show immense promise, challenges remain. Ethical concerns about data privacy, bias in AI algorithms, and equitable access need to be addressed to maximize their potential. Additionally, integrating these tools into existing healthcare systems requires alignment with regulatory frameworks and clinician support. By narrowing the focus to personalized treatment approaches, this paper explores how AI-driven digital therapeutics can advance mental health care, providing actionable insights into creating more inclusive, effective, and accessible interventions.","url":"https://doi.org/10.30574/wjarr.2024.24.3.3997","authors":["Aisha Katsina Isa"],"tags":["Mental health","Personalized medicine","Psychology","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-30","doi":"https://doi.org/10.30574/wjarr.2024.24.3.3997","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4413403110","name":"The Technical Support and Decision-Making Role of Digital Twins","source":"openalex","abstract":"In the wave of digital transformation, large enterprises increasingly face challenges in financial management, particularly in balancing efficiency improvement, cost optimization, and data-driven decision-making. The traditional financial model needs of innovation urgently, which provides an important context for applying digital twins in financial scenarios. This research examines Yunnan Investment Group’s (YIG) use of digital twin technology, focusing on the technical support and decision-making role in financial scenarios. Digital twin technology builds data decision-making models at different enterprise levels and create a real-time, detailed and multidimensional data foundation for accounting measurement. Empirical results reveal that YIG’s implementation reduced manual data processing workloads by 35%, accelerated financial statement preparation from weeks to days (47% efficiency gain), and enhanced predictive accuracy by 26% through machine learning-enhanced anomaly detection. These outcomes underscore digital twin technology’s dual role as both a technical enabler and a strategic advisor, demonstrating its capacity to drive intelligent financial ecosystems while mitigating systemic risks in large-scale enterprises.","url":"https://doi.org/10.54097/d95khw49","authors":["Ruilan Zhang"],"tags":["Computer science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.54097/d95khw49","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4391717966","name":"Digitalization concepts in academic bioprocess development","source":"openalex","abstract":"Digitalization with integrated devices, digital and physical assistants, automation, and simulation is setting a new direction for laboratory work. Even with complex research workflows, high staff turnover, and a limited budget some laboratories have already shown that digitalization is indeed possible. However, academic bioprocess laboratories often struggle to follow the trend of digitalization. Due to their diverse research circumstances, high variety of team composition, goals, and limitations the concepts are substantially different. Here, we will provide an overview on different aspects of digitalization and describe how academic laboratories successfully digitalized their working environment. The key aspect is the collaboration and communication between IT-experts and scientific staff. The developed digital infrastructure is only useful if it supports the laboratory worker and does not complicate their work. Thereby, laboratory researchers have to collaborate closely with IT-experts in order for a well-developed and maintainable digitalization concept that fits their individual needs and level of complexity. This review may serve as a starting point or a collection of ideas for the transformation toward a digitalized laboratory.","url":"https://doi.org/10.1002/elsc.202300238","authors":["Tessa Habich","Sascha Beutel"],"tags":["Workflow","Variety (cybernetics)","Automation","Bioprocess","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-09","doi":"https://doi.org/10.1002/elsc.202300238","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7133817371","name":"Digital Twin-Enabled Thermal Energy Management System for Sustainable Manufacturing Process Optimization","source":"openalex","abstract":"Manufacturing processes consume substantial thermal energy, yet siloed management approaches cannot exploit facility-wide synergies. This study develops and validates an integrated Digital Twin (DT) that fuses physics-based thermal models with machine-learning forecasts and multi-objective optimization to coordinate process heat, waste-heat recovery, thermal storage, and on-site renewables in real-time. Deployed across four heterogeneous manufacturing facilities, the DT generated operator-ready knee-point recommendations that balanced energy use, operating cost, and emissions under changing production and weather conditions. Across sites, deployment produced substantial, sustained gains in thermal-energy efficiency and marked reductions in carbon intensity (approximately 27% higher efficiency and about one-third lower emissions in aggregate), demonstrating that system-level orchestration outperforms isolated component upgrades. Novelty lies in plant-scale, real-time co-optimization of process heat, waste-heat recovery, thermal storage, and on-site renewables using a hybrid physics–ML digital twin with uncertainty-aware multi-objective control, field-validated across four heterogeneous manufacturing sites.","url":"https://doi.org/10.24867/ijiem-401","authors":["Otabek Mukhitdinov","Doniyor Jumanazarov","Egambergan Madrahimovich Xudaynazarov","A. V. Umarov","Ahmed Mohsin Alsayah"],"tags":["Process engineering","Exploit","Software deployment","Efficient energy use","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.24867/ijiem-401","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4412445574","name":"The Role of Monitoring Frequency in Optimizing Digital Twin Networks","source":"openalex","abstract":"Digital Twin Networks have garnered increasing interest in both industry and academia for managing, monitoring, and controlling networks, irrespective of the underlying technology. However, in networks characterized by low frequency and throughput, the monitoring data is often inadequate to provide sufficient insights into network behavior on its own. In essence, establishing bi-directional communication between the Digital Twin Network and the physical network is crucial for gaining insights into the network and enabling informed reconfiguration based on those insights. This is ideally achieved without relying on out-of-band communication. Therefore, alternative paradigms must be considered. This study investigates the impact of monitoring frequency on the reliability and accuracy of a Digital Twin Network within a Bluetooth Mesh environment. Multiple frequency settings were tested across two experiments to evaluate their effect on network performance. The comparison between real network paths and Digital Twin Network simulations provides insights into its behavior. Results indicate that higher update frequencies generally improve Digital Twin Network performance by enhancing path prediction accuracy. However, this improvement is counterbalanced by a reduction in network reliability at higher frequencies. Furthermore, it was noted that while higher frequencies tend to result in more accurate paths predicted by the Digital Twin Network, they also adversely affect the accuracy of end-to-end latency predictions. These findings highlight the need for a strategic balance between requirements in Digital Twin Network deployment.","url":"https://doi.org/10.1109/noms57970.2025.11073664","authors":["Jorg Wieme","Mathias Baert","Jeroen Hoebeke"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-12","doi":"https://doi.org/10.1109/noms57970.2025.11073664","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4416254488","name":"Digital Twins as Funhouse Mirrors: Five Key Distortions","source":"openalex","abstract":"Scientists and practitioners are increasingly moving to deploy digital twins--LLM-based models of real individuals--across social science and policy research. We conduct 19 pre-registered studies spanning 164 diverse outcomes (e.g., attitudes toward hiring algorithms, intentions to share misinformation), comparing human responses to those of their corresponding digital twins, which are trained on each individual's prior responses to over 500 questions. We establish an empirical benchmark for digital twin performance: their predictions are only modestly more accurate than those of a homogeneous base LLM and exhibit weak correlation with human responses (average $r = 0.20$). To inform future development, we identify five systematic distortions in digital twin behavior: (i) insufficient individuation, (ii) stereotyping, (iii) representation bias, (iv) ideological bias, and (v) hyper-rationality. Finally, we release our full dataset and code as a standardized testbed for evaluating and improving digital twin methodologies. Together, our findings caution against premature deployment while laying the groundwork for a transparent, replicable, and iterative science of responsible digital twin development.","url":"https://doi.org/10.48550/arxiv.2509.19088","authors":["Tianyi Peng","George Gui","Melanie Brucks","Daniel J. Merlau","Grace Jiarui Fan","Malek Ben Sliman","Eric J. Johnson","Abdullah Althenayyan","Silvia Bellezza","Dante Donati","Hortense Fong","Friedman, Elizabeth","Guevara, Ariana","Mohamed Hussein","Kinshuk Jerath","Bruce Kogut","Kumar, Akshit","Kristen Lane","H. Li","Vicki G. Morwitz","Oded Netzer","Patryk Perkowski","Olivier Toubia"],"tags":["Key (lock)","Representation (politics)","Psychology","Software deployment","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-23","doi":"https://doi.org/10.48550/arxiv.2509.19088","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7134037253","name":"Digital Twins in Europe: Driving Sustainable Innovation and Sovereignty","source":"openalex","abstract":"Abstract Digital twins are emerging as a key technological enabler for Europe’s industrial future. As high-fidelity virtual replicas of physical systems, digital twins harness advances in artificial intelligence, connectivity, and the growing availability of data to enable real-time monitoring, simulation, and optimization. Their impact spans diverse domains, including manufacturing, healthcare, energy, logistics, and smart cities, playing a pivotal role in driving the green and digital transition.This chapter explores the foundational principles and strategic relevance for digital twins within the European context, with particular emphasis on the contributions of the AI, Data, and Robotics Association (ADRA). It outlines state-of-the-art technical approaches and highlights prominent use cases in this critical field.","url":"https://doi.org/10.1007/978-3-032-10561-5_4","authors":["Victor Alonso Ramos","Gema Antequera García","Iria Galiñanes Romero","Celia Minguet Requeni","Sergio Gusmeroli","Iddo Bante","José Ramón Sierra","Nikolaos Nikolakis","Mila Koeva","Katalin Kovacs","Gorka Aguirre","I. Ocaña"],"tags":["Enabling","Relevance (law)","Key (lock)","Sovereignty","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-10561-5_4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7125490305","name":"Advancing Modern Power Grid Planning Through Digital Twins: Standards Analysis and Implementation","source":"openalex","abstract":"The increasing complexity of modern electrical networks poses significant challenges in terms of monitoring, maintenance, and operational efficiency. However, current planning approaches often lack a unified integration of real-time data and predictive modeling. In this context, Digital Twins (DTs) emerge as a promising solution, as they enable the creation of virtual replicas of physical assets. This research addresses the lack of standardized technical frameworks by proposing a novel mathematical optimization model for grid planning based on DTs. The proposed methodology integrates comprehensive architecture (frontend/backend), specific data standards (IEC 61850), and a linear optimization formulation to minimize operational costs and enhance reliability. Case studies such as DTEK Grids and American Electric Power are analyzed to validate the approach. The results demonstrate that the proposed framework can reduce planning errors by approximately 15% and improve fault prediction accuracy to 99%, validating the DTs as a key tool for the digital transformation of the energy sector towards Industry 5.0.","url":"https://doi.org/10.3390/en19020556","authors":["Eduardo Gómez-Luna","Marlon Murillo-Becerra","David R. Garibello-Narváez","Juan C. Vasquez"],"tags":["Key (lock)","Computer science","Systems engineering","Grid","Smart grid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-22","doi":"https://doi.org/10.3390/en19020556","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4415156895","name":"Interacting with a Green Smart Home Through its Digital Twin: A First-Person Experience","source":"openalex","abstract":"Figure 1: Interacting with the DT (left), activating the desktop computer (center), accessing consumption data (right).","url":"https://doi.org/10.1145/3750069.3755950","authors":["Davide Guizzardi","Daniela Fogli"],"tags":["Home automation","Architectural engineering","Computer science","Architecture","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-06","doi":"https://doi.org/10.1145/3750069.3755950","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4409646740","name":"Constructing Enterprise Digital Twins by Augmenting LLMs with MDE","source":"openalex","abstract":"Over the past year, Large Language Models (LLMs) have proven their value across a diverse range of industrial applications starting from supporting software development to automating customer interactions and enhancing process automation.We harness their potential for constructing Enterprise Digital Twins (EDTs), an emerging decision-making aid for a wide range of business sectors.EDT offers an effective \"in silico\" business experimentation leading to evidence-based informed decision-making, but its construction requires deep domain expertise spanning multiple aspects of enterprises across multiple stakeholders.Moreover, constructing an effective EDT demands seamless coordination between domain experts and expert modelers.These critical dependencies make the EDT construction challenging.This paper investigates the role of LLMs as domain experts and expert modelers to reduce excessive dependencies on both specializations and their coordination to an extent.Our approach integrates meta-modelling and Model Driven Engineering (MDE) techniques to effectively utilize LLMs with increased precision to alleviate the cognitive burden on domain experts and provide a systematic metamodel guided method for constructing purposive digital twins.We illustrate the approach and demonstrate its efficacy using a real-life EDT use case.","url":"https://doi.org/10.1145/3717383.3717391","authors":["Souvik Barat","Dushyanthi Mulpuru","Abhishek Yadav","Reshma Korabu","Himabindu Thogaru","Vinay Kulkarni"],"tags":["Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-20","doi":"https://doi.org/10.1145/3717383.3717391","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4412939567","name":"Asynchronous Deep Reinforcement Learning for Semantic Communication and Digital-Twin Deployment in Transportation Networks","source":"openalex","abstract":"The dynamically evolving and technologically-driven hybrid landscape of transportation networks integrated with advanced edge computing capabilities has demonstrated efficient communication and computation techniques to guarantee robust quality of services (QoS) to vehicles. However, conventional communication systems in the Internet of Vehicles (IoV) still encounter challenges in providing meaningful low-latency communication and AI-assisted real-time synchronization on the edge. One reason is that it has exhausted the Shannon limit by utilizing cellular, NOMA, and Wi-Fi technologies. Therefore, we present an integrated approach leveraging Semantic Communication (SC), and Digital Twin (DT) deployment to tackle the challenges caused by high-dimensional data exchanges and resource spectrum crunch leading to inevitable latency constraints. SC stimulates meaningful transmission of data to high-mobility vehicles by providing a relevant knowledge base (KB) and DT deployment. In this paper, we established the vehicular SC (VSC) model, and DT deployment strategy. We formulate a multi-objective optimization problem (MOP) to maximize the overall QoS of the system by jointly optimizing VSC and DT deployment. Compared to traditional deep-reinforcement learning (DRL) schemes, we propose a Digital Twin Semantic Sensing using the Multi-vehicle DRL ($DTS^{2}$-MVDL) algorithm which addresses the MOP and persistent issues of multi-dimensional, continuous, and discrete nature of the vehicular environment. Lastly, we employ age of Information (AoI), latency, and QoS as the performance metrics to determine the algorithmic efficiency.","url":"https://doi.org/10.1109/tits.2025.3593038","authors":["Oshin Rawlley","Shashank Gupta","Jatin Kumar Panwar","Pushpendra Kumar Sharma","Shailendra Rathore"],"tags":["Reinforcement learning","Asynchronous communication","Software deployment","Computer science","Asynchronous learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-04","doi":"https://doi.org/10.1109/tits.2025.3593038","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407764223","name":"Integrated Sensing and Communication for 6G Holographic Digital Twins","source":"openalex","abstract":"With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with the enhancement of terminal device resolutions, holographic communication is gradually becoming a reality. Holographic digital twin (HDT) is considered one of key applications of holographic communication, capable of creating virtual replicas for real-time mapping and prediction of physical entity states, and performing three-dimensional reproduction of spatial information. In this context, integrated sensing and communication (ISAC) is expected to be a crucial pathway for providing data sources to HDT. This paper proposes a four-layer architecture assisted by ISAC for HDT, integrating emerging paradigms and key technologies to achieve low-cost, high-precision environmental data collection for constructing HDT. Specifically, to enhance sensing resolution, we explore super-resolution techniques from the perspectives of parameter estimation and point cloud construction. Additionally, we focus on multi-point collaborative sensing for constructing HDT, and provide a comprehensive review of four key techniques: node selection, multi-band collaboration, cooperative beamforming, and data fusion. Finally, we highlight several interesting research directions to guide and inspire future work.","url":"https://doi.org/10.48550/arxiv.2502.13352","authors":["Haijun Zhang","Ziyang Zhang","Xiangnan Liu","Wei Li","Hongmin Li","Chen Sun"],"tags":["Holography","Computer science","Optics","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-19","doi":"https://doi.org/10.48550/arxiv.2502.13352","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4416849156","name":"Digital Twins for Cryogenic Hydrogen Safety: Integrating Computational Fluid Dynamics and Machine Learning","source":"openalex","abstract":"The global transition toward low-carbon energy and transportation systems positions hydrogen as a key clean and versatile energy carrier. However, ensuring the safe handling and storage of hydrogen—particularly in its liquid form LH2)—remains a critical challenge to large-scale deployment. Accidental releases of LH2 can lead to rapid dispersion, cryogenic hazards, and increased risks of ignition or detonation due to hydrogen’s low ignition energy and wide flammability limits. This review synthesizes recent advances in the understanding and modelling of LH2 safety scenarios, emphasizing the complementary roles of Computational Fluid Dynamics (CFD) and Machine Learning (ML). The paper first outlines the fundamental physical processes governing cryogenic hydrogen leaks, spills, and jet releases, followed by an overview of current storage and sensing technologies. Special consideration is given to safety implications arising from the differences between open and enclosed environments and the fact that existent sensing technologies present deficiencies at low temperatures. CFD-based studies are reviewed to illustrate how these methods capture complex flow and dispersion dynamics under diverse operational and environmental conditions, supported by a summary of existing experimental investigations used for model validation. The emerging role of ML is then examined, focusing on its integration with CFD simulations and sensor networks for predictive risk assessment, real-time leak detection, and the development of digital twins. Finally, integrated CFD–ML-sensor systems are discussed as a pathway toward a physics-informed, data-driven framework for advancing hydrogen safety and reliability.","url":"https://doi.org/10.3390/hydrogen6040110","authors":["Konstantina Vogiatzaki","Giovanni Tretola","Laurie Cesmat"],"tags":["Computational fluid dynamics","Computer science","Systems engineering","Liquid hydrogen","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.3390/hydrogen6040110","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4414314904","name":"Effectiveness of Digital Twin Framework for Collaborative Robotic Manipulation","source":"openalex","abstract":"This work examines the effectiveness of a digital twin (DT) framework using an industrial pick-and-place case study with a collaborative robotics arm. The problem addressed is the need for improved production process planning and visualization in robotics. The employed method involves creating a DT and evaluating its fidelity to a physical robotic system performing a pick-and-place task. Evaluations included comparing the digital and real robot trajectories, utilizing ISO 9283 performance testing, and analyzing metrics like RMSE, MAPE, and R2. The evaluation shows initial positive results indicating that the proposed DT framework fits the real data well, thus, demonstrates feasibility of this approach. The results can be used to improve the planning and visualization of the production process for collaborative robot arm with 3D printers or adapted for more complex industrial machine tools. These improvements can support the enterprises to spot potential problems before they occur, optimize performance and reduce costs.","url":"https://doi.org/10.54644/jte.2025.1835","authors":["Quang Huan Dong","Tuan-Khanh Nguyen","Chi-Cuong Tran","Thi Van Pham","Duc Do","Khang Hoang Vinh Nguyen","Quang-Chien Nguyen"],"tags":["Visualization","Process (computing)","Robotics","Robot","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-18","doi":"https://doi.org/10.54644/jte.2025.1835","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7125675782","name":"Developing the systemic digital twin of an industrial enterprise with Σ","source":"openalex","abstract":"This paper presents our approach to enterprise systemic digital twins, that is to say digital twins of industrial processes based on a systemic approach, and the semantic fundamentals of the formal system specification language Σ (Sigma), which synthesises systemic, stochastic, object-oriented, synchronous and parallel modelling paradigms, on which it relies. We especially propose a standard methodology for designing, constructing and validating a systemic digital twin, which is illustrated in details on a case study, namely the industrial transformation of a port. We provide a short conclusion highlighting the key business benefits that are obtained in this way, the most important one being a facilitated development and evolutive maintenance for a systemic digital twin.","url":"https://doi.org/10.1080/27525783.2026.2618303","authors":["Daniel Krob","Antoine Rauzy"],"tags":["Business","Process management","Engineering","Computer science","Industrial relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.1080/27525783.2026.2618303","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4411252846","name":"Design and implementation of a digital twin for a line-follower robot","source":"openalex","abstract":"This project leverages a digital twin in Unity 3D to replicate and enhance the navigation capabilities of a three-wheeled line-follower robot operating on a 2-meter closed-loop track with a narrow path. The robot is equipped with two DC gear motors, a front caster, and three infrared sensors, utilizing an ESP32 for control. MATLAB facilitates communication between the digital twin and the physical robot via WiFi, employing UDP and TCP protocols, while a PID controller optimizes navigation accuracy, particularly on challenging surfaces. The line-follower serves as a case study to evaluate MATLAB’s capability in controlling digital twins, with a scalable framework adaptable to other robotic systems like robotic arms, enhancing real-time testing and analysis over WiFi. Experimental testing on a large white surface with a black path mirroring the digital twin revealed minor delays at sharp turns and slight reductions in motor efficiency. Dual-mode test runs confirmed the digital twin’s reliability in accurately replicating the robot's movements. An HTTP-based web dashboard was developed to enhance real-time monitoring, enabling seamless access to data from both models. Inspired by a vision to empower future students with a cutting-edge robotics learning environment, this project provides an integrated, open-source model and controller for hands-on exploration. By bridging theoretical learning with practical application, it contributes to scalable navigation solutions for warehouse and laboratory environments, with prospects for future enhancements","url":"https://doi.org/10.30574/wjarr.2025.26.3.2275","authors":["GIRISH CHANDRAPPA"],"tags":["Computer science","Line (geometry)","Robot","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-12","doi":"https://doi.org/10.30574/wjarr.2025.26.3.2275","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415862254","name":"CLOUD-INTEGRATED DIGITAL TWIN ARCHITECTURES FOR REAL-TIME MONITORING, RISK ASSESSMENT, AND SAFETY OPTIMIZATION IN U.S. ENERGY INFRASTRUCTURE","source":"openalex","abstract":"The study titled Cloud-Integrated Digital Twin Architectures for Real-Time Monitoring, Risk Assessment, and Safety Optimization in U.S. Energy Infrastructure explored how the integration of cloud computing and digital twin technologies reshaped operational safety, predictive reliability, and efficiency across critical national energy systems. A total of 156 peer-reviewed papers, technical reports, and empirical studies were systematically reviewed to construct the theoretical and analytical foundation for this quantitative investigation. The research examined the synergistic relationship between cloud-enabled data processing and digital twin modeling, focusing on their combined impact on real-time monitoring accuracy, probabilistic risk assessment, and safety performance optimization. Quantitative analysis of 1,000 monitored energy assets across electricity, oil, gas, and renewable sectors revealed significant improvements following digital twin deployment. Results demonstrated a 42.8% reduction in mean detection latency, a 38.8% decline in downtime duration, and a 37.6% reduction in incident frequency, confirming that cloud-integrated architectures substantially enhanced the precision and responsiveness of monitoring systems. The regression analysis indicated that Monitoring Precision and Optimization Efficiency Ratio had strong positive effects on the Safety Performance Coefficient, whereas Risk Index Variation had a significant negative influence, validating that reduced uncertainty directly contributed to safer operational outcomes. The statistical findings established that the model explained over 70% of the variance in safety performance, underscoring the predictive strength of the integrated framework. The study concluded that cloud-enabled digital twins transformed traditional monitoring systems into adaptive, self-learning environments capable of continuous optimization and proactive risk mitigation. The review of 156 prior studies provided a comprehensive context for understanding how advancements in cloud analytics, machine learning, and real-time data governance converged to redefine energy infrastructure resilience. Overall, the research confirmed that the fusion of cloud scalability, real-time analytics, and predictive modeling created a new operational paradigm for U.S. energy systems—one characterized by intelligence, adaptability, and quantifiable safety optimization across all subsectors. This study contributed both empirical validation and a scalable blueprint for future digital transformation within national infrastructure governance.","url":"https://doi.org/10.63125/y9m5pz24","authors":["Mohammad Abu Tareq Rony","Hozyfa Shafa"],"tags":["Reliability engineering","Cloud computing","Downtime","Context (archaeology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-28","doi":"https://doi.org/10.63125/y9m5pz24","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407225808","name":"From Digital Twins To Digital Employees: Redefining Human-Centered Learning in Organizations","source":"openalex","abstract":"AI and GenAI change the game in Learning and Development systems design and management. Digital employees put the concept of digital twins on a new page in organizations. Digital employees can take on some routine tasks, if properly taught, and can learn some perishable skills, that need permanent renewal, like technical skills (need update and upskilling), policies, procurement, customer support, data gathering, and others. This shift opens more opportunities for real-life employees to focus on their durable skills of the long-term value, like leadership, critical thinking, emotional intelligence, self-awareness, resilience, drive, curiosity, and social skills.Digital employees change the whole concept of organizational learning and will be a critical part of designing human-centered learning and development systems in business organizations.","url":"https://doi.org/10.62232/barp.9.2024.8569","authors":["Dina Aslamazishvili"],"tags":["Business","Knowledge management","Psychology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-06","doi":"https://doi.org/10.62232/barp.9.2024.8569","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7108331824","name":"Retraction notice: A dynamic digital twin-based health monitoring method for steel structures integrating multi-source sensing and intelligent algorithms","source":"openalex","abstract":"The publisher of International Journal of Structural Integrity wishes to retract the article Zeng Q, Liu K (2025), “A dynamic digital twin-based health monitoring method for steel structures integrating multi-source sensing and intelligent algorithms”. International Journal of Structural Integrity, Vol. ahead-of-print, No. ahead-of-print. https://doi.org/10.1108/IJSI-06-2025-0147. It has come to our attention that a large portion of this article is taken, without full and proper attribution, from an earlier work by Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni and Karen E. Willcox, A digital twin framework for civil engineering structures, Computer Methods in Applied Mechanics and Engineering, Volume 418, Part B, 2024, 116584, ISSN 0045-7825, https://doi.org/10.1016/j.cma.2023.116584. The decision to retract has been informed by COPE's guidelines on retractions and Emerald's publishing ethics. Emerald's editorial and originality policy guidelines make it clear that work submitted should be original, not infringe any existing copyright, or be currently under consideration for publication by any other journal or publication. The publisher of the journal sincerely apologizes to the readers.","url":"https://doi.org/10.1108/ijsi-11-2025-0299","authors":[],"tags":["Retract","Work (physics)","Publishing","Computer science","Originality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.1108/ijsi-11-2025-0299","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7126274310","name":"Sustainable building’s energy management with artificial intelligence and machine learning: A decadal scoping review (2014–2024)","source":"openalex","abstract":"Artificial Intelligence (AI) and Machine Learning (ML) are transforming energy management in buildings by enabling data-driven prediction, optimization, and real-time control. This scoping review synthesized the state of the art in this field over the past decade (2014–2024), based on a structured search of peer-reviewed studies. The review classified AI/ML applications, according to features like: forecasting horizons, algorithm families (classical ML, deep learning, hybrid/ensemble, reinforcement learning), building categories (residential, commercial, healthcare), and integration levels (standalone, IoT-enabled, microgrid-enabled). The analysis of 100+ comparative studies showed that ensemble and hybrid methods frequently outperform single algorithm methods, however, performance gains vary considerably depending on data quality, forecasting horizon, and building operational characteristics. Key challenges remain in data standardization, balance between model complexity and interpretability, privacy, and scalability from individual buildings to urban districts. Emerging opportunities were highlighted at the intersection of AI with digital twins, IoT, and transfer learning, which support small data contexts and real time adaptation. By bridging technical advances with practical challenges, this work aims at informing the scientific community, working towards intelligent, sustainable, and efficient energy management in buildings, by supporting with a clear classification of AI/ML techniques and their most promising applications across different building types.","url":"https://doi.org/10.1016/j.egyr.2026.109082","authors":["Nouman Ahmed","Yuemin Ding","Guido Canti","Norma Anglani"],"tags":["Sustainable energy","Energy management","Computer science","Energy (signal processing)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-30","doi":"https://doi.org/10.1016/j.egyr.2026.109082","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7133121918","name":"Transforming Energy Management with an AI-Enabled Digital Twin","source":"openalex","abstract":"Digital twins (DTs) are increasingly adopted by organizations across various sectors. We report on how one of Europe’s largest district heating providers implemented an AI-assisted DT in pursuit of energy efficiency and sustainability. The solution enabled the company to modernize its complex cyber-physical system (CPS) and tap into its rich data capabilities to gain a comprehensive real-time representation of the entire district heating network. Reflecting on the case study, we provide six recommendations for executives in other domains aiming to implement DTs.","url":"https://doi.org/10.17705/2msqe.00120","authors":["Hadi Ghanbari","Petter Nissinen"],"tags":["Business","Process management","Efficient energy use","Digital transformation","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.17705/2msqe.00120","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4417118656","name":"Design of a digital twin for NB-IoT satellite constellations","source":"openalex","abstract":"The deployment of Low Earth Orbit satellite constellations is challenging due to the dynamic nature of these networks, intermittent connections, and power limitations. To better understand and anticipate the system’s behaviour under new conditions, Digital Twins (DTs) has been studied as a valuable tool for simulation and analysis. DTs enable satellite operators to perform real-monitoring, anomaly detection, and forecasting studies of software updates or orbital changes. The present work sets forth a DT architecture that integrates real-time satellite data with AI-powered forecasting. This facilitates real-time, continuous monitoring of the constellation performance, enabling performance forecasting and the detection of anomalies. To conclude, different forecasting models are presented to overcome the discontinuity and interruption on satellite communications, as well as the results obtained that illustrate the errors of the different forecasting models. Presenting a framework for a DTs architecture dedicated to manage any satellite constellation, while the Distributed system Simulator can model satellite contacts, aiming to enhance global connectivity and efficiency.","url":"https://doi.org/10.1049/icp.2025.4045","authors":["Arnau Dolz-Puig","Oriol Fusté","Adrián Pérez-Portero","Juan A. Fraire","Joan A. Ruiz-de-Azua","Anna Calveras"],"tags":["Satellite","Computer science","Constellation","Software deployment","Satellite constellation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1049/icp.2025.4045","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4405432276","name":"Enhanced digital twin development for a conveyor belt system: integrating PLC control, CNN decision-making, Gradio-based HMI, and fuzzy logic","source":"openalex","abstract":"This paper introduces an advanced Digital Twin (DT) of a conveyor belt system, designed to enhance industrial automation and decision-making in the context of Industry 4.0. Built using Factory I/O, the DT simulates the physical conveyor's behavior, integrating seamlessly with a Programmable Logic Controller (PLC) for real-time control. A Convolutional Neural Network (CNN) enhances decision-making by analyzing conveyor activity, such as defect detection and sorting optimization. A Fuzzy Logic (FL) system also refines CNN outputs, improving reliability by incorporating factors like confidence scores and operational parameters. A Gradio-based Human-Machine Interface (HMI) offers an intuitive platform for real-time monitoring, interaction, and manual control. The system demonstrates robust synchronization between virtual and physical components, showcasing its ability to improve efficiency, accuracy, and adaptability in industrial processes. This work contributes to smart manufacturing advancements by combining DT technology, intelligent algorithms, and adaptive control for enhanced industrial supervision.","url":"https://doi.org/10.38152/bjtv7n4-035","authors":["Yehya Aniba","Mounir Bouhedda","Mourad Bachene","Mahdi Seddiki","Abdelhafid Tobbal","Abdelmoumin Hamrani","Hamza Benyezza"],"tags":["Fuzzy logic","Computer science","Control (management)","Control engineering","Conveyor belt"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-16","doi":"https://doi.org/10.38152/bjtv7n4-035","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400608977","name":"How can corporate digital responsibility ( CDR ) be measured in line with corporate social responsibility ( CSR )? A new theoretical approach in construction 4.0","source":"openalex","abstract":"Abstract Corporate responsibility in Civil Engineering in the digital era is changing rapidly. An attempt is made to make CDR more “tangible” by assigning and defining entrepreneurial approaches. This paper investigates the relationship between CSR and CDR based on a structured literature analysis, Internet research and Hermeneutic approach. The study examines the status quo of existing methods for measuring CDR and proposes a practicable framework for measuring successfully practiced CDR. The paper investigates the value‐based use of digitization and Artificial Intelligence (AI) as crucial factors to derive new ways to shape and catalyze the industry's assumption of human, social and environmental responsibility. The study defines a new approach to a corporate strategy in order to make the fulfillment of CSR measurable and assessable with regard to the effects of digital technological innovations on human, society and environment, taking into account current Environmental, Social, and Governance (ESG) regulations and guidelines.","url":"https://doi.org/10.1002/sd.3094","authors":["Bianca Christina Weber-Lewerenz","Marzia Traverso"],"tags":["Corporate social responsibility","Business","Social responsibility","Line (geometry)","Accounting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-13","doi":"https://doi.org/10.1002/sd.3094","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W2798949579","name":"Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain","source":"openalex","abstract":"This study explored the past and present land-use/land-cover (LULC) changes and urban expansion pattern for the cities of the Kathmandu valley and their surroundings using Landsat satellite images from 1988 to 2016. For a better analysis, LULC change information was grouped into seven time-periods (1988–1992, 1992–1996, 1996–2000, 2000–2004, 2004–2008, 2008–2013, and 2013–2016). The classification was conducted using the support vector machines (SVM) technique. A hybrid simulation model that combined the Markov-Chain and Cellular Automata (MC-CA) was used to predict the future urban sprawl existing by 2024 and 2032. Research analysis explored the significant expansion in urban cover which was manifested at the cost of cultivated land. The urban area totaled 40.53 km2 in 1988, which increased to 144.35 km2 in 2016 with an average annual growth rate of 9.15%, an overall increase of 346.85%. Cultivated land was the most affected land-use from this expansion. A total of 91% to 98% of the expanded urban area was sourced from cultivated land alone. Future urban sprawl is likely to continue, which will be outweighed by the loss of cultivated land as in the previous decades. The urban area will be expanded to 200 km2 and 238 km2 and cultivated land will decline to 587 km2 and 555 km2 by 2024 and 2032. Currently, urban expansion is occurring towards the west and south directions; however, future urban growth is expected to rise in the southern and eastern part of the study area, dismantling the equilibrium of environmental and anthropogenic avenues. Since the study area is a cultural landscape and UNESCO heritage site, balance must be found not only in developing a city, but also in preserving the natural environment and maintaining cultural artifacts.","url":"https://doi.org/10.3390/ijgi7040154","authors":["Bhagawat Rimal","Lifu Zhang","Hamidreza Keshtkar","Barry Haack","Sushila Rijal","Peng Zhang"],"tags":["Urban sprawl","Land use","Geography","Land cover","Physical geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-04-19","doi":"https://doi.org/10.3390/ijgi7040154","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4390824527","name":"Digital Twin: From Buzzword To Solutions [Guest Editorial]","source":"openalex","abstract":"When we talk about digitization and digitalization, the termdigital twinis not far away; data and information are the new oil for the economy. But hasn’t electrical power always been at the forefront with computational models and computer applications for the secure operation of power systems? With the development of computer systems in the middle of the last century, power systems were one of the first civilian applications. Many standard computing methods and models in power systems have been established for more than half a century. Why are we suddenly researching and talking so much about digital twins, and which new solutions will really be established in practice? In this special issue, we want to explore these questions and examine them from different perspectives.","url":"https://doi.org/10.1109/mpe.2023.3339094","authors":["Christian Rehtanz","Ulf Häger","Chen‐Ching Liu"],"tags":["Digitization","Computer science","Power (physics)","Electric power system","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/mpe.2023.3339094","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4405425321","name":"Integrating Artificial Intelligence and the Internet of Things in Cultural Heritage Preservation: A Systematic Review of Risk Management and Environmental Monitoring Strategies","source":"openalex","abstract":"Heritage buildings are increasingly vulnerable to environmental challenges like air pollution and climate change. Traditional preservation methods primarily rely on periodic inspections and manual interventions and struggle to address these evolving and dynamic threats. This systematic review analyzes how integrating Artificial Intelligence (AI) and Internet of Things (IoT) technologies can transform cultural heritage preservation. Using the PRISMA guidelines, 92 articles from SCOPUS were reviewed, highlighting key risk management and environmental monitoring methodologies. The study found that while IoT enables real-time air quality and structural health monitoring, AI enhances data analysis, providing predictive insights. The combination of IoT and AI facilitates proactive risk management, ensuring more resilient conservation strategies. Despite the growing use of these technologies, adoption remains uneven, particularly in regions most impacted by climate change. The study identifies significant research gaps and proposes an innovative framework that leverages Heritage Building Information Modeling (H-BIM) and Digital Twin (DT) for continuous monitoring and predictive maintenance through a multi-step process, beginning with the digitalization of heritage assets using H-BIM, followed by the creation of real-time digital replicas via DT. By integrating advanced technologies, the framework offers a more adaptive and sustainable approach to preserving cultural heritage, addressing both immediate threats and long-term vulnerabilities. This research underscores the need for a global, technology-driven response to safeguard heritage buildings for future generations.","url":"https://doi.org/10.3390/buildings14123979","authors":["Neeraparng Laohaviraphap","Tanut Waroonkun"],"tags":["Cultural heritage","Internet of Things","Environmental monitoring","The Internet","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.3390/buildings14123979","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4412177096","name":"Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin","source":"openalex","abstract":"Abstract Due to the frequent occurrence of geological disasters worldwide, which pose a serious threat to infrastructure such as pipelines, accurately assessing the stress state of pipelines has become an urgent issue to be addressed. To improve the real-time and prediction accuracy of underground pipeline stress monitoring in the context of geohazards, the study constructs a dynamic closed-loop pipeline stress state reconstruction and inversion framework based on digital twin technology. The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. The experiment showed that the numerical simulation model could accurately simulate the stress-strain response of pipelines under geological hazards, which was basically consistent with the actual monitoring data. The accuracy of the inversion model was 95.14%, which was an average improvement of 11.06% compared to other models. The calculation time was 5.62 s, which was an average reduction of 18.95%. Under the three geological disasters of earthquakes, mudslides, and landslides, the root mean square error of the model’s predictions was below 3 GPa, and the accuracy remained above 94%. The results indicate that the research model has high prediction accuracy and efficiency and can effectively handle the problem of predicting pipeline stress states under different geological disasters, providing a reliable method for evaluating pipeline stress states in geological disasters.","url":"https://doi.org/10.1007/s42452-025-07435-x","authors":["Xue Luning","Tian Mingliang","Zhao Juncheng"],"tags":["Geology","Inversion (geology)","Hazard","Seismology","Pipeline transport"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.1007/s42452-025-07435-x","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411633476","name":"Digital-twin imaging based on descattering Gaussian splatting","source":"openalex","abstract":"Three-dimensional imaging through scattering media is important in medical science and astronomy. We propose a digital-twin imaging method based on Gaussian splatting to observe an object behind a scattering medium. A digital twin model built through data assimilation, emulates the behavior of objects and environmental changes in a virtual space. By constructing a digital twin using point clouds composed of Gaussians and simulating the scattering process through the convolution of a point spread function, three-dimensional objects behind a scattering medium can be reproduced as a digital twin. In this study, a high-contrast digital twin reproducing a three-dimensional object was successfully constructed from degraded images, assuming that data were acquired from wavefronts disturbed by a scattering medium. This technique reproduces objects by integrating data processing with image measurements.","url":"https://doi.org/10.1364/oe.564226","authors":["Suguru Shimomura","Kazuki Yamanouchi","Jun Tanida"],"tags":["Optics","Computer science","Point spread function","Gaussian","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-26","doi":"https://doi.org/10.1364/oe.564226","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4402227152","name":"Digital economy and the medical and health service supply in China","source":"openalex","abstract":"The impact of the digital economy on the healthcare sector is becoming increasingly profound. This article focuses on the relationship between the development of China's digital economy and medical and health services supply. Based on panel data from 30 provinces in China from 2012 to 2021, the CRITIC weight method was applied to measure the supply capacity of medical and health services and the level of digital economy development, and the kernel density estimation method and Dagum Gini coefficient method was used to characterize the evolutionary trends and regional differences. Additionally, a two-way fixed-effects model is adopted to investigate the impact of digital economy development on medical and health services supply. The results show that both the supply capacity of healthcare services and the level of digital economy development have been increasing continuously in terms of evolutionary trends. From the perspective of regional differences, compared to the supply level of healthcare services, the regional differences in digital economy development are more significant. The intra-regional differences in medical and health services supply are greater than the inter-regional differences, while the development of the digital economy exhibits the opposite trend. The findings of this paper provide supports for China to enhance the development level of digital economy and improve supply of medical and health service.","url":"https://doi.org/10.3389/fpubh.2024.1441513","authors":["Xueling Guan","Jiayue Xu","Xinru Huang"],"tags":["China","Digital health","Digital economy","Service (business)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-04","doi":"https://doi.org/10.3389/fpubh.2024.1441513","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4409441952","name":"Thermal Digital Twin of LH2 Aircraft Storage Tank","source":"openalex","abstract":"The decarbonization of the economy is impacting all activities and sectors worldwide. Transport, particularly aircraft transport, is involved in this endeavor; shifting to H2-powered aircraft is one of the identified options for decarbonization, which implies the need for the effective implementation of complex cryogenic LH2 storage. Modeling tank storage via a Digital Twin (DTwin) is of paramount relevance to facilitate the design process (gains, operating scenarios) and for the extrapolation of experimental measurements on a particular set-up to future tanks with other materials or dimensions. The present paper contributes to this issue, presenting the model under development as part of the H2ELIOS project and the preliminary model results.","url":"https://doi.org/10.3390/engproc2025090097","authors":["C. Oliet","Marcial Mosqueda-Otero","Eugenio Schillaci","Ahmad Amani","Joaquim Rigola","Jesús Castro González"],"tags":["Storage tank","Thermal energy storage","Thermal","Environmental science","Nuclear engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-11","doi":"https://doi.org/10.3390/engproc2025090097","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7124288947","name":"DIGITAL TWINS IN INDUSTRY: ARCHITECTURE, APPLICATION AND ECONOMIC EFFICIENCY","source":"openalex","abstract":"The article provides a comprehensive analysis of the concept of digital twins and their practical application in modern industry. The study covers the architectural features of digital twins, including the physical layer, the data and integration layer, the modeling layer, and the service layer. The technologies underlying digital twins are considered in detail: IoT sensors, cloud platforms, machine learning and physical and mathematical modeling. Using a practical example of forecasting the maintenance of a pumping station, the advantages of switching from planned to predictive maintenance are demonstrated. The results of the study show that the introduction of digital twins can reduce maintenance costs by 20-30% by preventing unplanned downtime and optimizing resources. The article is valuable for specialists in the field of industrial automation, digital transformation and management of production assets.","url":"https://doi.org/10.58168/ppspm2025_199-204","authors":["A. Tyunina","D. Kukueva","V. Kondusova","Konstantin Zolnikov"],"tags":["Downtime","Cloud computing","Digital transformation","Predictive maintenance","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"https://doi.org/10.58168/ppspm2025_199-204","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407783915","name":"Towards a Guide for Building Digital Twins of Port Infrastructure","source":"openalex","abstract":"Ports are critical infrastructure assets with a pivotal role in functional and spatial activities associated with maritime transportation. In an era of intense pressures on the digitalization of every part of the economy, building Digital Twins (DTs) of port systems has become increasingly important aiming at solving problems before they occur. Although port DTs are mostly used for logistics and operational purposes, DT technologies can also support lifetime performance management of port infrastructure by investigating the in-service structures’ behavior against potential degradation threats. To this end, the present work conceptualizes a guide for building DTs of port infrastructure based on Structural Health Monitoring (SHM) applications. The guide includes sensors mounted on Unmanned Aerial Vehicles, Geographic Information Systems tools, automation techniques, and structural condition assessments combined to assist in computer-aided twinning. To examine the effectiveness of the guide, a pilot DT was applied for the waterfront facilities of a Greek port, namely Lavrio port. The real-time replicas proved promising in searching for smart maintenance actions.","url":"https://doi.org/10.36253/979-12-215-0556-6.89","authors":["Christina N. Tsaimou","Vasiliki K. Tsoukala"],"tags":["Port (circuit theory)","Telecommunications","Computer science","Engineering","Electrical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.36253/979-12-215-0556-6.89","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4391878449","name":"Digital Innovation Hubs and portfolio of their services across European economies","source":"openalex","abstract":"Research background: Digital ecosystems in Europe are heterogenous organizations involving different economies, industries, and contexts. Among them, Digital Innovation Hubs (DIHs) are considered a policy-driven organization fostered by the European Commission to push companies’ digital transition through a wide portfolio of supporting services. Purpose of the article: There are DIHs existing in all European economies, but literature needs more precise indications about their status and nature. The purpose is to study a distribution of DIHs and differences in portfolios of DIHs’ services across European economies. Therefore, the paper wants to deliver more precise data on effects on national and European policies. This is required to define their final role and scope in the complex dynamics of the digital transition, depending on regional context and heterogeneity of industries. Methods: Data on 38 economies was collected from the S3 platform (on both existing and in preparation DIHs) and further verified by native speaking researchers using manual web scrapping of websites of DIHs identified from S3. To find potential similarities of digital ecosystems in different economies as emanated by the existence of DIHs, clusterization (Ward’s method and Euclidean distances) was applied according to the services offered. Economies were clustered according to the number of DIHs and the spread of DIHs intensity in different cities. The results were further analyzed according to the scope of the provided services. Findings & value added: The applied clustering classified European economies in four different sets, according to the types of services offered by the DIHs. These sets are expression of the different digitalization statuses and strategies of the selected economies and, as such, the services a company can benefit from in a specific economy. Potential development-related reasons behind the data-driven clustering are then conjectured and reported, to guide companies and policy makers in their digitalization strategies.","url":"https://doi.org/10.24136/oc.2757","authors":["Наталія Гавкалова","Bartłomiej Gładysz","Walter Quadrini","Claudio Sassanelli","Fredrik Asplund","Muhammad Rusyadi Ramli","Peter Detzner","Jane Deville","Miroslav Dragıc","Tim van Erp","Amalia Georgescu","Liz Price"],"tags":["Portfolio","Business","Economics","Finance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.24136/oc.2757","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414603442","name":"Digital Twin-Based Reinforcement Learning for Energy Exchange Among Electric Vehicles and Base Stations in a Disaster-Affected Region","source":"openalex","abstract":"The cellular base stations (BSs) have backup batteries to maintain uninterrupted power supply. Recent studies have shown that a backup battery may have some spare energy to act as a flexible resource. Similarly, electric vehicles (EVs) are also capable to give surplus energy stored in their batteries to other consumers or back to the grid. Therefore, both BSs and EVs can share energy among themselves through Telecom-to-Vehicle (T2V) and Vehicle-to-Telecom (V2T) exchange. However, the energy exchange is challenging in a disaster-affected region due to connectivity failures, power disruption and damaged routes. This paper proposes an energy exchange solution among BSs and EVs in a post disaster situation. We propose a digital-twin (DT) based solution which utilizes Artificial Intelligence (AI) algorithms to estimate energy consumption of BSs and EVs and identifies their role as energy buyers or sellers. It also models power disruption and disaster-affected blocked routes as Markov processes with parameters derived from real historic data of floods. Then, a reinforcement learning (RL) algorithm is proposed to match BSs and EVs which can feasibly take part in either T2V or V2T exchange. Performance of the proposed solution is compared with independent RL without DT and assisted by federated learning. Simulations show that energy exchanged by RL algorithm doubles with the utilization of DT.","url":"https://doi.org/10.1109/tits.2025.3607305","authors":["Ferheen Ayaz","Maziar Nekovee","Zhengguo Sheng","Nagham Saeed"],"tags":["Backup","Reinforcement learning","Energy (signal processing)","Computer science","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.1109/tits.2025.3607305","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4385367981","name":"How Does the Digital Capability Advantage Affect Green Supply Chain Innovation? An Inter-Organizational Learning Perspective","source":"openalex","abstract":"Green supply chain innovation has gained significant attention from academics and practitioners due to its ability to mitigate chain liability risks, meet consumer environmental demands, and create sustainable competitive advantages. Digital technology, a valuable tool for enhancing organizational information processing capabilities, plays a crucial role in promoting successful green supply chain innovation. However, existing research has a limited understanding of how digital capability advantage influences green supply chain innovation. Therefore, based on an inter-organizational learning perspective, this study aims to explore the impact of digital capability advantage on green supply chain innovation and examine the mediating role of green supply chain learning (green supplier learning and green customer learning). The survey results from 221 Chinese manufacturing firms indicate that digital capability advantages contribute directly and positively to green supply chain innovation and also indirectly enhance it through green supplier learning and green customer learning. This study establishes the positive relationship between digital capability advantages and green supply chain innovation and highlights the mediating role of green supplier learning and green customer learning. The research conclusions not only enhance our understanding of the factors and key success paths of green supply chain innovation from a digital perspective but also provide theoretical guidance for its effective implementation in manufacturing firms.","url":"https://doi.org/10.3390/su151511583","authors":["Jianqi Qiao","Suicheng Li","Su Xiong","Na Li"],"tags":["Supply chain","Business","Competitive advantage","Supply chain management","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-27","doi":"https://doi.org/10.3390/su151511583","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407164910","name":"Development of a digital twin for the diagnosis of cardiac perfusion defects","source":"openalex","abstract":"Abstract Myocardial Blood Flow (MBF) is a key indicator of myocardial perfusion, typically assessed through additional clinical tests like dynamic CT perfusion under stress. This study introduces a digital twin designed to enhance coronary artery disease diagnosis by predicting MBF using data from routine CT images and clinical measurements. The digital twin employs AI methods to reconstruct coronary and myocardial geometries and integrates a computational model, featuring 3D coronary arteries and a three-compartment myocardial model, blindly calibrated with data from six representative patients. Validation on 28 additional patients showed MBF predictions consistent with experimental and clinical measurements. Confusion matrix analysis assessed the twin’s ability to classify at-risk patients (averaged MBF < 230 ml/min/100g) versus non-at-risk patients, yielding a recall of 0.77, with precision and accuracy at 0.72. This work represents the first attempt to predict and validate MBF on such a large cohort, paving the way for future clinical applications.","url":"https://doi.org/10.1101/2025.02.04.25321638","authors":["Elisabetta Criseo","Andrea Baggiano","Giovanni Montino Pelagi","Guido Nannini","Alberto Redaelli","Gianluca Pontone","Christian Vergara"],"tags":["Perfusion","Cardiology","Internal medicine","Medicine","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-05","doi":"https://doi.org/10.1101/2025.02.04.25321638","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4403816756","name":"Digital Public Health and Digital Health: twins or Neighbors? A data protection perspective","source":"openalex","abstract":"Abstract Enhancing digital public health (DiPH) terminology may foster a better understanding of the legal framework that grounds the use of personal health data within and outside public health policy and public health systems. Terminology accuracy is, therefore, relevant to understanding the data protection regulations that apply to DiPH interventions. The broader or narrower possibilities for using personal health data in digital health interventions depend on the legal basis that justifies (or not) the access to personal health data, whether inside public health policy or outside (e.g., in private health companies). In the context of digital health policy for DiPH, using personal health data is based on public law, analyzing proportionality, necessity, and the legitimacy of the interest. In contrast, for digital health interventions outside public health policy or in an individual clinical approach (like in digital health), the use of personal health data is based on informed consent. Brazilian data protection law (LGPD) and European GDPR provide the legal basis for public health systems’ use of health data in health policy. As a result, the DiPH approach highlights the relevance of using digital technologies and health data to strengthen public health systems within the platform economy and the context of surveillance capitalism. This presentation will shed light on the expansion of digital technologies and health data in health policy in the face of data science, highlighting the need to delve into the terminology of DiPH, understanding its boundaries and legal differences from its neighbors (not twins) outside health policy. Clarifying the DiPH approach, potentially leading to standards in terminology and embedding a data protection perspective, may maximize the accuracy of the legal justification for personal health data use in health policies. DiPH, therefore, may foster data protection, public health systems, and policies strengthening with health data.","url":"https://doi.org/10.1093/eurpub/ckae144.133","authors":["Anabelle Macedo Silva","M Ventura"],"tags":["Perspective (graphical)","Public health","Digital health","Internet privacy","Environmental health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.1093/eurpub/ckae144.133","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7119097930","name":"A Hierarchical Framework Leveraging IIoT Networks, IoT Hub, and Device Twins for Intelligent Industrial Automation","source":"openalex","abstract":"Industrial Internet of Things (IIoT) networks, Microsoft Azure Internet of Things (IoT) Hub, and device twins (DvT) are increasingly recognized as core enablers of adaptive, data-driven manufacturing. This paper proposes a hierarchical IIoT framework that integrates industrial IoT networking, DvT for asset-level virtualisation, system-level digital twins (DT) for cell orchestration, and cloud-native services to support the digital transformation of brownfield, programmable logic controller (PLC)-centric modular automation (MA) environments. Traditional PLC/supervisory control and data acquisition (SCADA) paradigms struggle to meet interoperability, observability, and adaptability requirements at scale, motivating architectures in which DvT and IoT Hub underpin real-time orchestration, virtualisation, and predictive-maintenance workflows. Building on and extending a previously introduced conceptual model, the present work instantiates a multilayered, end-to-end design that combines a federated Message Queuing Telemetry Transport (MQTT) mesh on the on-premises side, a ZigBee-based backup mesh, and a secure bridge to Azure IoT Hub, together with a systematic DvT modelling and orchestration strategy. The methodology is supported by a structured analysis of relevant IIoT and DvT design choices and by a concrete implementation in a nine-cell MA laboratory featuring a robotic arm predictive-maintenance scenario. The resulting framework sustains closed-loop monitoring, anomaly detection, and control under realistic workloads, while providing explicit envelopes for telemetry volume, buffering depth, and latency budgets in edge-cloud integration. Overall, the proposed architecture offers a transferable blueprint for evolving PLC-centric automation toward more adaptive, secure, and scalable IIoT systems and establishes a foundation for future extensions toward full DvT ecosystems, tighter artificial intelligence/machine learning (AI/ML) integration, and fifth/sixth generation (5G/6G) and time-sensitive networking (TSN) support in industrial networks.","url":"https://doi.org/10.3390/app16020645","authors":["Cornelia Ionela Bădoi","Bilge Kartal Çetin","Kamil Cetin","Çağdaş Karataş","Mehmet Erdal Özbek","Savaş Şahin"],"tags":["Computer science","Modbus","Automation","Modular design","Backup"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.3390/app16020645","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4408247274","name":"Local Digital Twins for Cities and Regions: The Way Forward","source":"openalex","abstract":"Abstract Local Digital Twins (LDTs) appear as a novel approach within the fourth industrial revolution for advancing governance and citizen participation, exploring new ways and providing new opportunities in sensing data, understanding complex phenomena and forecasting the future. The idea of LDTs, that is the application of digital twin technology in a municipality, region or even country level, promises new services and digital means for citizens, in an effort to tackle most of the problems and provide new services to all aspects of life. Within this context, the present chapter analyses the notion, the possibilities, and the state-of-the-art applications of the LDT concept, and then focuses on the possible future developments of this novel technical and societal approach. In this direction, the chapter presents what can be achieved through the convolution of LDTs with breakthrough developments in emerging technologies such as Artificial Intelligence, Machine Learning and the Internet of Things (IoT), which ultimately result in the development of new applications and services for the intelligent city and the region of tomorrow.","url":"https://doi.org/10.1007/978-3-031-81451-8_9","authors":["Yannis Charalabidis","Γεράσιμος Κοντός","Dimitrios Zitianellis"],"tags":["Geography","Economic geography","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-81451-8_9","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7116663310","name":"Bio-Circular Economy and Digitalization: Pathways for Biomass Valorization and Sustainable Biorefineries","source":"openalex","abstract":"This review examines how the integration of circular bioeconomy principles with digital technologies can drive climate change mitigation, improve resource efficiency, and facilitate sustainable biorefinery development. This highlights the urgent need to transition away from fossil fuels and introduces the bio-circular economy as a regenerative model focused on biomass valorization, reuse, recycling, and biodegradability. This study compares linear, circular, and bio-circular approaches and analyzes key policy frameworks in Europe, Latin America, and Asia linked to several UN Sustainable Development Goals. A central focus is the role of digitalization, particularly artificial intelligence (AI), the Internet of Things (IoT), and blockchain. Examples include AI-based biomass yield prediction and biorefinery optimization, IoT-enabled real-time monitoring of material and energy flows, and blockchain technology for supply chain traceability and transparency. Applications in agricultural waste valorization, bioplastics, bioenergy, and nutraceutical extraction are also discussed in this review. Sustainability tools, such as automated life-cycle assessment (LCA) and Industry 4.0 integration, are outlined. Finally, future perspectives emphasize autonomous smart biorefineries, biotechnology–nanotechnology convergence, and international collaboration supported by open data platforms.","url":"https://doi.org/10.3390/biomass6010001","authors":["Sergio Arturo Coronado-Contreras","Zaira Guadalupe Ibarra-Manzanares","A. Danitza Casas-Rodríguez","Álvaro Javier Pastrana-Pastrana","L. Sepúlveda","Raúl Rodríguez-Herrera"],"tags":["Biorefinery","Sustainability","Circular economy","Biomass (ecology)","Traceability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/biomass6010001","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401052441","name":"Digital Twin: Applications, Implementation and ROI In Printing Industry","source":"openalex","abstract":"It is expected that the global value across all print and printed packaging will reach $843 billion in 2026. This is increasing after the pandemic-induced negative disruption in 2020. The packaging market has a growing share in it [1]. In Industry 4.0; the manpower, machinery, and printing processes are in the network digitally [2]. Accurate and precise data is controlling the production and digital twins are an important tool for increased overall efficiency and sustainability. Digital twins are connected from the sensors to the cloud-based software which can be accessed by all the stakeholders such as manufacturers, intermediate supply chain managers, wholesale clients, and end-use customers. Therefore, digital twins are an important part of Industry 4.0. In the print & packaging industry, due to increased automation, the investments in plant and machinery are increasing but customers expect cost reductions with an emphasis on quality and sustainability measures. The order quantities are reducing and demand for short-run customized products is increasing. The customers expect the printing companies to follow international standards diligently. There are several benefits of digital twins in the printing and packaging industry which result in saving time, manpower, cost and thus reducing the adverse impact on the environment in terms of effluents, use of power etc. thus increasing overall equipment efficiency and sustainability.","url":"https://doi.org/10.35940/ijrte.b8113.13020724","authors":["M. Deshpande","Mrs. Manisha Deshpande"],"tags":["Digital printing","Computer science","Computer graphics (images)","Manufacturing engineering","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-27","doi":"https://doi.org/10.35940/ijrte.b8113.13020724","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7117244283","name":"Development of Digital Twins for Library Information System Simulation","source":"openalex","abstract":"The creation of digital twins for Library Information Systems (LIS) simulation models provides new insights into the automation, management, efficiency, and user experience of modern-day libraries. A digital twin captures metrics from its real-world counterpart in real time, enabling analysis, monitoring, and optimization. The research is focused on LIS digital twin designs and implementations within the context of IoT, data analytics, and machine learning. Digital twins can simulate user behavior, resource usage, and subsystem interactions, offering great potential to enhance cataloging, circulation, space management, and personal service delivery, thereby augmenting advanced services. The research presents a schema that corresponds to the tangible assets within the library, including books and users, along with the infrastructure for their virtual representations. This enables predictive maintenance of the assets, automated inventory monitoring, and scenario testing. The development supports changing interface elements and user-operated control recommendation systems based on real-time usage data. Initial simulation results suggest improvements in library service delivery and decision-making capabilities within the library ecosystem. This paper addresses major concerns in data harmonization, vulnerability, privacy, and strategies for achieving effective twin deployment. The findings explain how the application of the digital twin disrupts library systems to provide responsive and user-centered information services.","url":"https://doi.org/10.51983/ijiss-2026.16.1.33","authors":["Xazrat Jabborov","Akhmadjon Kholikulov","Nargiza Norkulova","Mohammad Fallah","Nabiev Bosit Sobirovich","Izzatilla Khaydarov"],"tags":["Computer science","Schema (genetic algorithms)","Digital library","Interface (matter)","User interface"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-24","doi":"https://doi.org/10.51983/ijiss-2026.16.1.33","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4388409088","name":"Managing Digital Transformation for Social Good in Non-Profit Organizations: The Case of The Felix Project Zeroing Hunger in London","source":"openalex","abstract":"Abstract The societal value of non-profit organizations (NPOs) and the enabling aspect of digital transformations (DTs) pinpoint these as cornerstones in our running after sustainable development goals (SDGs). However, applying DT to NPOs foreshadows outstanding but untapped opportunities to enhance our capacity to meet those goals. This paper shed light on those opportunities by exploring the DT of a food redistribution charity which commits to reach zero hunger in London, the United Kingdom. Our results not only highlight the importance of studying DT in the setting of sustainable-oriented NPOs but also reveal the key role of leadership, entrepreneurship, agile management, co-creation, user-friendliness, and building a data-driven learning culture to strengthen its impact.","url":"https://doi.org/10.1007/s11266-023-00597-5","authors":["Cindy Li Ken Jong","Andrea Ganzaroli"],"tags":["Agile software development","Business","Entrepreneurship","Digital transformation","Social entrepreneurship"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-06","doi":"https://doi.org/10.1007/s11266-023-00597-5","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7124682775","name":"Barriers to Implementing Digital Twin Technologies in Industrial Settings","source":"openalex","abstract":"Recent review articles highlight an exponential rise in publications on Digital Twin (DT) technology.Despite its recognised potential, DTs have yet to achieve widespread practical use.Following a presentation of the state of the art and an original conceptual diagram illustrating the technology, this work presents the key factors contributing to the gap between conception and implementation.Using experimental data from a laboratory water system and a reliability-based perspective, this analysis examines the practical limitations of DT application.The findings indicate that broader use of DTs depends on the technological maturity and reliability of all system components, which still require further development.","url":"https://doi.org/10.21014/tc6-2025.037","authors":["Józef Wiora","Alicja Wiora","Faisal Saleem"],"tags":["Business","Computer science","Process management","Knowledge management","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.21014/tc6-2025.037","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4401672992","name":"Digitally twin driven ship cooling pump fault monitoring system and application case","source":"openalex","abstract":"The rise of digital twin technology has provided innovative methods for monitoring and optimizing ship cooling pumps. This paper proposes a digital twin-based framework for the status monitoring and visualization of ship cooling pumps. By establishing highly realistic physical and mathematical models and integrating actual operational data, a comprehensive virtual environment was created to simulate the operational status of ship cooling pumps. Using the random forest algorithm for data training and testing, the results showed that the root mean square error for the training set was 0.0037873, and for the test set, it was 0.008929, indicating high accuracy in predicting the status of cooling pumps. This system enables real-time monitoring, problem diagnosis, performance optimization, and decision support for cooling pumps. This study aims to leverage digital twin technology to design and apply a visualization monitoring system to enhance the intelligence of ship operation and maintenance.","url":"https://doi.org/10.21278/brod75403","authors":["Shaojuan Su","Zhe Miao","Yong Zhao","Nanzhe Song"],"tags":["Fault (geology)","Marine engineering","Environmental science","Computer science","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-18","doi":"https://doi.org/10.21278/brod75403","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4391824454","name":"ARCHITECTURAL HERITAGE DIGITAL REPRESENTATIONS FOR CONSERVATION STRATEGIES","source":"openalex","abstract":"Abstract. Digital technologies enable a thorough analysis of Architectural Heritage, offering various representations that provide different levels of documentation and knowledge-based conservation tools. This paper presents a methodological approach that leverages three digital representations related to three levels of documentation: Virtual Tour Informational Modelling, Point Cloud Informational Modelling, and Historical Building Information Modelling. Their characteristics and potential are compared, focusing on the effectiveness in supporting the analysis process, and the management of future conservation works. Furthermore, the dichotomy between 2D and 3D representations of AH is tackled, emphasizing the need to align with the conservation strategies, timeline, and budget constraints. It also discusses the integration of heterogeneous data and various digital representations to address the challenges in AH preventive conservation and management, resulting in the proposal of a sustainable documentation workflow to support the conservation process.","url":"https://doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-111-2024","authors":["Paolo Clini","Chiara Mariotti","Renato Angeloni","J. Muñoz Cádiz"],"tags":["Architectural engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-14","doi":"https://doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-111-2024","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4417166352","name":"Adoption of digital technologies in asset management: a bibliometric and text analysis","source":"openalex","abstract":"The introduction of digital technologies has gained considerable momentum in the field of asset management. To identify the research characteristics and development trends in the fields of digital technologies and asset management, a bibliometric analysis was conducted using the Scopus database. The analysis covers the period from 2004 to 2024 to capture the digital era and the evolving field of asset management. A total of 1,493 publications were extracted and analysed using the VOSviewer and CiteSpace. Additionally, Voyant Tools, an open-source web-based application for text analysis, was used to examine the corpus of abstracts of all publications previously analysed through the bibliometric analysis. The analysis revealed that promising technologies such as machine learning (ML), the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT), blockchain, etc. are mainly used in the field of asset management. In addition, building information modelling (BIM) and geographic information systems (GIS) are commonly used tools in asset management, which shows the potential of their integration and connection with digital technologies. The results of this study contribute to the literature and practice by providing insights into trends in the use of digital technologies in asset management.","url":"https://doi.org/10.1080/15732479.2025.2598801","authors":["Damjan Maletič","Justyna Trojanowska","Matjaž Maletič"],"tags":["Asset (computer security)","Computer science","Digital asset management","Business","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-09","doi":"https://doi.org/10.1080/15732479.2025.2598801","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4417333744","name":"A Conceptual Model of a Digital Twin Driven Co-Pilot for Speed Coordination in Congested Urban Traffic","source":"openalex","abstract":"Digital Twins (DTs) are increasingly used to support real-time decision making in connected mobility systems, where network latency and uncertainty limit the effectiveness of conventional control strategies. This paper proposes a conceptual model for a DT-driven Co-Pilot designed to provide adaptive speed recommendations in congested urban traffic. The system combines live data from a mobile client with a prediction engine that executes multiple short-horizon SUMO simulations in parallel, enabling the DT to anticipate local traffic evolution faster than real time. A lightweight clock-alignment mechanism and latency evaluation over LAN, Cloudflare-tunneled connections, and 4G/5G networks demonstrate that the Co-Pilot can operate reliably using existing communication infrastructures. Experimental results show that moderate speeds (35–50 km/h) yield throughput and delay performance comparable to higher speeds, while improving flow stability—an important property for safe platooning and collaborative driving. The parallel execution of ten SUMO instances completes within 2–3 s for a 600 s simulation horizon, confirming the feasibility of embedding domain-specific ITS logic into a predictive DT architecture. The findings demonstrate that Digital Twin–based anticipatory simulation can compensate for communication latency and support real-time speed coordination, providing a practical pathway toward scalable, deployable DT-enabled traffic assistance systems.","url":"https://doi.org/10.3390/fi17120572","authors":["Adrian Vasile Olteanu","Maximilian Nicolae","Bianca Alexe","Ştefan Mocanu"],"tags":["Computer science","Latency (audio)","Embedding","Real-time computing","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-13","doi":"https://doi.org/10.3390/fi17120572","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4412092543","name":"Digital twins for the sustainable maintenance of ageing waterway infrastructure","source":"openalex","abstract":"Abstract. A substantial part of the ageing waterway infrastructure in Europe, including locks, quay walls, and coastal protection structures, is approaching the end of its service life, necessitating either replacement or extensive repairs to prevent hazards. The integration of digital twins offers transformative opportunities for the complete digitalization of these assets, enhancing structural inspections and maintenance processes. This paper explores methods and solutions developed through the 3D HydroMapper, port_AI, and Port:Evolution research projects funded by the Federal Ministry for Digital and Transport, Germany from 2018 to 2027. By utilizing mobile platforms for geodata collection, both above and below water, and employing technologies such as sonar, photogrammetry, and laser scanning, comprehensive and precise surface scans and images of infrastructure can be achieved. These scans enable early detection of damage, facilitating timely repair measures and extending the service life of structures. The fusion of diverse georeferenced data types within a cloud portal ensures efficient sharing and lifecycle management, contributing to sustainable infrastructure maintenance.This paper provides a full workflow from the acquisition of waterway infrastructure below and above water to the planning of its maintenance.","url":"https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-147-2025","authors":["Berit Jost","Karsten Holste","Christian Hesse"],"tags":["Business","Ageing","Environmental planning","Process management","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-07","doi":"https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-147-2025","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407022220","name":"Digital Literacy Education Among Students: Status, Pathways, and Implications in the Current Digital Era","source":"openalex","abstract":"This research aims to analyze in depth the digital literacy of students, which refers to their ability to effectively find, evaluate, create and communicate information using digital technology in the education and teaching process in higher education. In the digital age, digital literacy has become an essential and indispensable skill for personal, academic, and professional success. Cultivating digital literacy in university students is not only an important component of promoting the construction of higher education programs but also a crucial issue in facilitating the digital transformation of higher education. The study surveyed undergraduate students at Guizhou Normal University in Guiyang, China, using a structured questionnaire that covered six dimensions of digital literacy: information acquisition, communication and collaboration, digital content creation, security, privacy, and problem-solving. The results reveal that university students generally exhibit high levels of digital literacy, with no significant differences between genders. However, students from urban areas demonstrate significantly higher digital literacy levels compared to those from rural areas, particularly in security and privacy domains. The findings underscore the need for targeted interventions to enhance digital literacy in areas such as digital content creation and problem-solving. This study provides practical recommendations for higher education institutions to address these gaps and promote comprehensive digital literacy development among students especially in the fields of education and teaching","url":"https://doi.org/10.57092/ijetz.v4i1.385","authors":["Yi Wang","Wang Siqian"],"tags":["Digital literacy","Literacy","Digital era","Current (fluid)","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-01","doi":"https://doi.org/10.57092/ijetz.v4i1.385","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4416868477","name":"Enhancing safety in urban mobility with female digital twins","source":"openalex","abstract":"A ‘human digital twin’ (HDT) is a representation of a human from the physical world in the digital world that includes several dimensions, such as physical, behavioural, social, physiological, cognitive and biological aspects. HDTs are an emerging field of study, emerging serendipitously from wearable devices in various fitness and wellness applications, and have become increasingly relevant in precision medicine, as hyper-personalised digital human twins. Today, moreover, real-time biometric data is helping health and fitness care in relation to prevention and prediction. In the same vein, human physiological parameters present in emotions, such as fear, could help in the context of women's mobility safety in urban areas. A human digital twin could be created that evolves throughout a woman's life, providing her with guidance and safety suggestions for her mobility, and assistance in case of need in emergency situations. In this article we present AngelaDT, a custom-designed Human Digital Twin to improve the safety of women's mobility in urban areas. In addition, the platform supporting the digital human twin and its life cycle are also described.","url":"https://doi.org/10.1007/s00146-025-02762-4","authors":["Paloma Cáceres García de Marina","Dolores Cuadra Fernández","Almudena Sierra Alonso","Belén Vela Sánchez"],"tags":["Context (archaeology)","Digital health","Wearable technology","Wearable computer","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1007/s00146-025-02762-4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4389964287","name":"Impacts of digital connectivity on Thailand’s Generation Z undergraduates’ social skills and emotional intelligence","source":"openalex","abstract":"Notwithstanding the pervasive utilization of digital technology in social and educational realms, an in-depth understanding and exploration of the interrelationships amongst digital connectivity, social skills, and emotional intelligence, particularly within Generation Z demographic–known for their heavy reliance on digital platforms–remains elusive. This study endeavors to address this gap. Applying structural equation modeling, it examined the interrelationships between digital connectivity, social skills, and emotional intelligence, surveying a sample of 518 Generation Z students (comprising 77.61% females, 20.64% males, and 1.74% non-binary) across various academic years and disciplines at a university located in Southern Thailand. PLS-SEM software was employed to evaluate the structural model and substantiate the research hypotheses. Our findings suggest that digital connectivity did not detrimentally impact social skills. However, it negatively influenced emotional intelligence among Generation Z students, observable both at the operational level and in terms of fostering the capacity to regulate one’s own and others’ emotional states. Despite this, social skills proved to significantly enhance emotional intelligence. The same consistent pattern of a positive and significant influence is observed when testing the indirect effect of digital connectivity on emotional intelligence through social skills. Furthermore, it was found that robust and effective digital connectivity could potentially bolster understanding and management of emotions in the digital age, much like well-developed social skills. Hence, this study provides substantial insights into the nuanced impacts of digital connectivity on the social and emotional development of Generation Z students.","url":"https://doi.org/10.30935/cedtech/14043","authors":["Narinthon Imjai","Somnuk Aujirapongpan","Jaturon Jutidharabongse","Berto Usman"],"tags":["Emotional intelligence","Psychology","Structural equation modeling","Social skills","Social emotional learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-19","doi":"https://doi.org/10.30935/cedtech/14043","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411367940","name":"A7.1 - Determining Data Centre PUE with a Digital Twin","source":"openalex","abstract":"The Power Usage Effectiveness is an important metric in assessing data centre energy efficiency.Regulations require constant monitoring of data centre energy consumption.This paper presents a method to calculate the (Interim) Power Usage Effectiveness of an HPC data centre using a Digital Twin in a robust and flexible way by identifying all necessary meters, providing a robust, continuous data collection mechanism and arbitrary time ranges.","url":"https://doi.org/10.5162/smsi2025/a7.1","authors":["Alexander Kammeyer","Florian Bürger","D. Lübbert","Katinka Wolter"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.5162/smsi2025/a7.1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4406252517","name":"IMAGE PROCESSING IN DIGITAL TWIN SOLUTIONS: A TECHNICAL OVERVIEW","source":"openalex","abstract":"This comprehensive technical article explores the intricate integration of image processing within Digital Twin solutions, highlighting the transformative impact on industrial operations across manufacturing, healthcare, and infrastructure sectors. It delves into the sophisticated frameworks that enable real-time monitoring, analysis, and maintenance of physical assets through their virtual counterparts. The article examines the multi-faceted architecture encompassing data acquisition, storage, processing pipelines, and advanced analytics while addressing security and collaboration in distributed environments. The article presents detailed analyses of implementation strategies, covering aspects from high-resolution image capture and cloud-based storage to predictive maintenance and visualization frameworks. Special attention is given to the role of emerging technologies such as edge computing, machine learning, and blockchain in enhancing system capabilities and security. The article demonstrates how these integrated systems significantly improve operational efficiency, quality Lalita Devi Pila https://iaeme.","url":"https://doi.org/10.34218/ijcet_16_01_031","authors":["Lalita Devi Pila"],"tags":["Computer science","Image processing","Digital image processing","Computer vision","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-09","doi":"https://doi.org/10.34218/ijcet_16_01_031","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410297766","name":"An Open-sourced Digital Twin Model of an Industrial Dryer","source":"openalex","abstract":"In this paper a digital twin model of a drying machine is presented to accurately predict its temperature and humidity based on experimental data. The prediction facilitates energy-efficiency of the industrial dryer IQ6 for disinfecting surgical instruments, e.g., forceps. The model is achieved by integrating a simplified thermodynamic model and a Data-Driven Physics-Informed Neural Networks (DD-PINNs). Our contribution to the state-of-the-art is to provide and open-source a digital twin model of an industrial dryer. The shared model and data can be extended and reused for other energy-efficient drying applications.","url":"https://doi.org/10.1109/simpar62925.2025.10979177","authors":["Dominik Pastuszka Malek","Xiaofeng Xiong"],"tags":["Computer science","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-14","doi":"https://doi.org/10.1109/simpar62925.2025.10979177","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7128698828","name":"Principles for Applying AI to Address the Challenges of Scaling Digital Twins","source":"openalex","abstract":"ABSTRACT Despite the increasing affordability of data processing and storage and the enhancement of artificial intelligence (AI) and digital technologies in recent years, scalability and adoption continue to be a challenge when it comes to digital twins (DTs). Common challenges that are often cited include the effort of designing and building DTs, high customisation, the cost to operate and maintain DTs, interoperability between DT components and DTs, and the extensive analysis and effort required to turn DT outputs into useful insights. AI has seen significant advancements and growth lately, driven by the release of popular AI products such as ChatGPT, Google Gemini and DeepSeek's R1. Many of the recent developments have the potential to address the challenges of scaling and adopting DTs. This paper examines the intersection of AI and DTs and explores how AI can be used to address some of the challenges of scaling and adopting DTs. It concludes with a set of principles that aim to apply to most DT applications, regardless of use case or industry, and proposes AI methods and techniques that can potentially be used for each principle. These principles are (1) reduce effort, cost and/or time; (2) optimise resource and system efficiency; (3) improve interaction and outcome and (4) improve interoperability, reusability and maintainability.","url":"https://doi.org/10.1049/dgt2.70025","authors":["Christine Chen","David Wagg","Mark Girolami"],"tags":["Computer science","Scalability","Interoperability","Data science","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/dgt2.70025","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7153094587","name":"Digital twin transition for intelligent and resilient industrial systems","source":"openalex","abstract":"Digital twins (DTs) are a vital technology transforming industrial systems by linking the physical and digital realms through real-time, bidirectional data flow and intelligent analysis. This special issue of the International Journal of Production Research presents 14 original contributions that advance both the theoretical framework and practical applications of digital twins in diverse industrial settings, such as production control, process monitoring, human-machine collaboration, supply chains, maintenance, and value-based deployment. The articles are grouped into three key themes: (i) DT architectures, modelling principles, and trustworthy development; (ii) smart production management, process optimisation, and digital integration; and (iii) human-centered applications, supply chain support, and industrial value creation. Collectively, they offer a comprehensive overview of digital twins as a transformative technology enabling adaptive and resilient industrial operations. The editorial concludes with a discussion of major open challenges and promising research directions to promote wider adoption of digital twins across various industrial sectors.","url":"https://doi.org/10.1080/00207543.2026.2655025","authors":["Serena Finco","Ji Bao","Ilya Jackson","Yuqian Lu"],"tags":["Engineering","Computer science","Transition (genetics)","Industry 4.0","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-10","doi":"https://doi.org/10.1080/00207543.2026.2655025","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4403043209","name":"Implementation of Digital Twins in construction industry: A systematic review","source":"openalex","abstract":"Although Digital Twins have advanced remarkably in many industries, including manufacturing and healthcare, the construction industry faces a significant gap in adopting and implementing Digital Twins.Thus, this paper aims to examine the consequences of implementing Digital Twins technology in the construction sector to provide a comprehensive picture of Digital Twins applications within the construction lifecycle and the technologies employed, in addition to identifying the challenges facing the technology in the construction sector.The study utilized a systematic review methodology to accomplish its objective.The study categorized the applications of Digital Twins into four stages of the construction project lifespan.The four phases encompassed in this process are planning and design, construction, operation and maintenance, and demolition and recovery.The findings indicate that the utilization of Digital Twins in the planning and design phase, as well as the demolition and recovery phase, is not tangible compared to its applications in the construction, operation, and maintenance phases.This study identified the difficulties associated with implementing Digital Twins technology in the building industry.The problems encompass various aspects, including the sector itself, economic and political factors, technical advancements, and social issues.Through the resolution of these obstacles, the construction sector might attain complete integration of Digital Twins technology.Future research is advised to enhance the deployment of Digital Twins by gaining a more profound comprehension of Digital Twins knowledge throughout the lifecycles of construction projects.","url":"https://doi.org/10.31462/jcemi.2024.03189212","authors":["M. Yıldırım","Ömer Giran"],"tags":["Systematic review","Engineering","Computer science","Business","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-30","doi":"https://doi.org/10.31462/jcemi.2024.03189212","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7154732563","name":"Reframing BIM and Digital Twins for Intelligent Built Environments","source":"openalex","abstract":"The integration of Building Information Modeling [BIM] and Digital Twins [DT] has emerged as a central driver of digital transformation in the architecture, engineering, and construction sector. Yet, its systemic impact remains constrained by conceptual fragmentation and uneven institutional adoption. This study synthesizes contemporary BIM–DT scalability and each to identify dominant technological and application dimensions, examine the governance conditions shaping scalability, and develop an analytical framework that advances understanding beyond technology-centered syntheses. A two-stage analytical design was employed, combining bibliometric keyword co-occurrence analysis of 1295 Scopus-indexed records with systematic qualitative synthesis of 56 peer-reviewed journal articles published between 2020 and 2025, following PRISMA guidelines. Six interrelated analytical dimensions characterize the current BIM–DT research landscape: BIM–DT integration advancements and applications; interoperability and visualization; safety enhancement; energy efficiency; data-driven decision making; and stakeholder collaboration. Across these dimensions, a persistent misalignment emerges between technological capability and organizational readiness, with deficiencies in standards, governance, and sociotechnical coordination constituting the principal barriers to large-scale deployment. The findings reframe BIM–DT convergence not as a discrete technological upgrade but as the emergence of a coordinated socio-technical information ecosystem spanning the full building lifecycle. By foregrounding governance conditions, data stewardship, and institutional coordination, this study extends understanding of how digital twins expand BIM from design coordination to operational governance and establishes a foundation for more systematic implementation of intelligent, resilient, and sustainable built-environment systems.","url":"https://doi.org/10.3390/smartcities9040071","authors":["Abdullahi Abdulrahman Muhudin","Md Shafiullah","Baqer Al-Ramadan","Mohammad Sharif Zami","Mohammad Tahir Zamani","Lazhari Herzallah"],"tags":["Sociotechnical system","Cognitive reframing","Interoperability","Knowledge management","Building information modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-17","doi":"https://doi.org/10.3390/smartcities9040071","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415338952","name":"Collaborative Structural Health Monitoring for Bridge Digital Twins","source":"openalex","abstract":"Structural Health Monitoring (SHM) is an effective tool that not only reduces reliance on periodic inspections but also enhances them by analyzing the current state of a structure based on the latest structural data. Collaborative SHM, which integrates various SHM systems within the scope of bridge digital twins (BDTs), enhances infrastructure resilience and maintenance strategies. However, it faces challenges in integrating distributed sensor networks and requires interdisciplinary collaboration. In this work, various aspects of enhancing collaborative SHM with BDTs are presented. As a pilot project, the Nibelungen Bridge in Worms (NBW), Germany, is introduced. Based on specific stakeholder and project requirements, various SHM systems have been installed on this bridge. To address these challenges, goal-oriented solutions have been developed and elaborated. Finally, conclusions and future outlooks are presented.","url":"https://doi.org/10.12783/shm2025/37546","authors":["Chongjie Kang","RALF HERRMANN","Cedric Eisermann","Steffen Marx"],"tags":["Bridge (graph theory)","Structural health monitoring","Scope (computer science)","Resilience (materials science)","Stakeholder"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.12783/shm2025/37546","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4410326439","name":"Digital Twins nei Sistemi Portuali e il contributo di GHG accounting: Una review della letteratura","source":"openalex","abstract":"This study explores the existing literature to better understand how Digital Twins (DTs) have been analyzed in the perspective of measuring and reporting the carbon footprint of port systems. The study also analyzes how greenhouse gas (GHG) accounting can contribute to feed the DTs information system regarding the values of emissions from mooring, unmooring and manoeuvring operations at the ship-port interface. Although several studies have explored the implementation of new technologies to improve the technical efficiency of ports and their effects on emissions, and others have analyzed GHG accounting for the measurement and reporting of the latter, it remains uncertain how GHG accounting can be integrated with DTs for predictive analytics of ship-port interface operations. This study conducts a literature review on a dataset of 47 articles from Scopus database and Google Scholar, published from 1990 to 2024. The results highlight that, since 2015, research on DTs in ports has highlighted their key role in reducing the carbon footprint and in achieving the Sustainable Development Goals (SDGs), particularly SDG7. To the best of our knowledge, this is the first study that analyses, according to a holistic approach, digital systems for virtual representations (DTs) and measurement and reporting systems (GHG accounting) for environmental sustainability at the ship-port interface to support public management decisions. This study provides a different perspective of analysis to the decarbonization of the port sector, with theoretical and practical implications also in response to the UN 2030 Agenda and its SDGs.","url":"https://doi.org/10.3280/maco2025-001010","authors":["Assunta Di Vaio","Sabrina Palladino","Elisa Van Engelenhoven"],"tags":["Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"https://doi.org/10.3280/maco2025-001010","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4387905623","name":"Artificial intelligence and digital twins in simulating pregnancy","source":"openalex","abstract":"is an open access and double-blind peer-reviewed scientific journal, that encompasses all aspects of the practice of midwifery, especially focused on midwifery research, support, care and advice during pregnancy, labour and the postpartum period.The overall aim of the journal is to foster, promote and disseminate research involving midwifery education and clinical practice.While the journal is European, it warmly welcomes and publishes submissions and content from all over the world, linking the global community.","url":"https://doi.org/10.18332/ejm/172490","authors":["Stavroula Barbounaki","Christina Nanou","Aikaterini Lykeridou","Victoria Vivilaki"],"tags":["Artificial intelligence","Computer science","Pregnancy","Biology","Genetics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-24","doi":"https://doi.org/10.18332/ejm/172490","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4415644077","name":"Application of Digital Twin Platform for Prefabricated Assembled Superimposed Stations Based on SERIC and IoT Integration","source":"openalex","abstract":"Prefabricated stations utilizing digital modeling techniques demonstrate significant advantages over traditional cast-in-place methods, including improved dimensional accuracy, reduced environmental impact, and minimized material waste. To maximize these benefits, this study develops a digital twin platform for prefabricated assembled superimposed stations through the integration of Digital Twin Scene–Entity–Relationship–Incident–Control (SERIC) modeling with IoT technology. The platform adopts a “1+5+N” architecture that implements model-data separation, lightweight processing, and model-data association for SERIC model management, while IoT-enabled data acquisition facilitates lifecycle data sharing. By integrating BIM models, engineering data, and IoT sensor inputs, the platform employs multi-source analytics to monitor construction progress, enhance safety surveillance, ensure quality control, and optimize designs. Implementation at Jinan Metro Line 8’s prefabricated underground station confirms the SERIC-IoT digital twin’s efficacy in advancing sustainable, high-quality rail transit development. Results demonstrate the platform’s capacity to improve construction efficiency and operational management, aligning with urban rail objectives prioritizing sustainability and technological innovation. This study establishes that integrating SERIC modeling with IoT in digital twin frameworks offers a robust approach to modernizing prefabricated station construction, with scalable applications for future smart transit infrastructure.","url":"https://doi.org/10.3390/buildings15213856","authors":["Linhai Lu","Jiahai Liu","Hu Bingbing","Yu Gao","Qianwei Xu","Yanyun Lu","G H Huang"],"tags":["Scalability","Modular design","Systems engineering","Engineering","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-24","doi":"https://doi.org/10.3390/buildings15213856","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4390842572","name":"A multi-omics data analysis workflow packaged as a FAIR Digital Object","source":"openalex","abstract":"BACKGROUND: Applying good data management and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles in research projects can help disentangle knowledge discovery, study result reproducibility, and data reuse in future studies. Based on the concepts of the original FAIR principles for research data, FAIR principles for research software were recently proposed. FAIR Digital Objects enable discovery and reuse of Research Objects, including computational workflows for both humans and machines. Practical examples can help promote the adoption of FAIR practices for computational workflows in the research community. We developed a multi-omics data analysis workflow implementing FAIR practices to share it as a FAIR Digital Object. FINDINGS: We conducted a case study investigating shared patterns between multi-omics data and childhood externalizing behavior. The analysis workflow was implemented as a modular pipeline in the workflow manager Nextflow, including containers with software dependencies. We adhered to software development practices like version control, documentation, and licensing. Finally, the workflow was described with rich semantic metadata, packaged as a Research Object Crate, and shared via WorkflowHub. CONCLUSIONS: Along with the packaged multi-omics data analysis workflow, we share our experiences adopting various FAIR practices and creating a FAIR Digital Object. We hope our experiences can help other researchers who develop omics data analysis workflows to turn FAIR principles into practice.","url":"https://doi.org/10.1093/gigascience/giad115","authors":["Anna Niehues","Casper de Visser","Fiona A. Hagenbeek","Purva Kulkarni","René Pool","Naama Karu","Alida Kindt","Gurnoor Singh","Robert Vermeiren","Dorret I. Boomsma","Jenny van Dongen","Peter A.C. ’t Hoen","Alain J. van Gool"],"tags":["Workflow","Computer science","Metadata","Interoperability","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1093/gigascience/giad115","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4298395418","name":"Digital Experience in Art and Identity: The Metaverse calls","source":"openalex","abstract":"The rapid global rise of immersive digital experience at exhibitions and museums sheds light on the intense need for deep engagement with art and the emotions that it projects and the stories it tells. With social isolation imposed by COVID, during more than two years and counting, human digital identity is evolving as digital experience moves to the heart of daily life, at home and at work, being often interchangeable. This digital paradigm shift in human activity leaving a lacuna in face-to-face engagement is increasingly being filled by digital art which we see can deliver immersive and emotional digital experiences. With the metaverse on the horizon and fast gaining ground in developing its platform to support virtual life in 3D as part of Internet 3.0, especially VR, AR, MR, AI, and NFTs, we wonder how this emerging phenomenon will change life as we know it, as the metaverse seems positioned at the epicentre of a definitive shift to digital experience during COVID and far beyond. Already, investors are buying up the metaverse landscape and creating the tools humans will need to freely participate. This portends an exciting future with new opportunities for digital artists, technology innovators, and entrepreneurs to create virtual multidimensional and multimedia spaces for people to engage their digital identity in digital experiences. Time to create your avatar - let the games begin.","url":"https://doi.org/10.31235/osf.io/6y4vd","authors":["Jonathan P. Bowen","Tula Giannini"],"tags":["Metaverse","Avatar","Identity (music)","Exhibition","Wonder"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-30","doi":"https://doi.org/10.31235/osf.io/6y4vd","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7141017392","name":"Innovation Ecosystems in Africa: Leveraging Triple Helix Twins and Knowledge Spillovers for Sustainable Development","source":"openalex","abstract":"ABSTRACT This study introduces the triple helix twins (THT) framework, integrating digital twin technology into the triple helix (TH) model to enhance sustainable innovation and knowledge spillover in African Union (AU) member states. It addresses the limitations of the traditional TH model in resource‐constrained environments by utilizing digital twins to optimize collaboration, knowledge flows, and decision‐making. The study combines Data Envelopment Analysis (DEA) with digital twin simulations and a two‐stage econometric framework using a multi‐method approach. Structural equation modeling (SEM) and System Generalized Method of Moments (SYS‐GMM) address endogeneity and dynamic relationships, while spatial autoregressive modeling (SAR) captures regional spillover effects. Threshold effect modeling identifies nonlinearities between digital infrastructure and innovation efficiency. The dataset covers 47 AU member states (2015–2024), analyzing input variables such as the Education Index, industrial value‐added, and R&D expenditure, alongside output indicators like patents granted and entrepreneurial activity. The findings highlight the THT framework's potential to bridge institutional gaps, foster innovation‐driven growth, and strengthen technological capacity. However, infrastructure deficits, weak absorptive capacity, and policy misalignment must be addressed. This study advances theoretical discourse by positioning THT as an adaptive alternative to TH, offering strategic insights for sustainable innovation‐led growth in Africa.","url":"https://doi.org/10.1002/tie.70121","authors":["Suleman Bawa"],"tags":["Endogeneity","Structural equation modeling","Triple helix","Industrial organization","Spillover effect"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-27","doi":"https://doi.org/10.1002/tie.70121","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4410130599","name":"Application of Digital Twin Technology in Information and Measurement Systems","source":"openalex","abstract":"Introduction. The article addresses the problem of creating an automated system for data collection from heat metering units, as well as a digital twin of such a system. Digital twins are widely used in the energy sector to optimize the operation of thermal power plants, including their timely maintenance, forecasting various emergency scenarios, or planning thermal energy production. Practical examples of such systems are presented. The relevance of this work lies in the possibility of predicting the size of pipeline defects based on both measurement and digital twin data.Aim. Development of a distributed information and measurement system for heat supply monitoring with the introduction of a digital twin.Materials and methods. The parameters of the heat-carrying agent, such as temperature, pressure, and flow, were simulated according to the normal distribution law and the thermal schedule of power plants. This information was further used to develop a mathematical and algorithmic support for predicting the state of technological equipment. The depth of a cavity defect which may occur in the pipeline was predicted. The strength condition was used as a criterion for the failure limit state. To determine the ultimate strength of the pipe wall, OST 153-39.4-010–2002 and the Barlow formula were used.Results. The obtained results include a digital twin of the heat supply control system, the structure of a distributed information and measurement system for the unit of heat supply monitoring, algorithmic and software systems for the operation of the distributed information and measurement system and for predicting the failure state of the pipeline. The software operability was verified in normal operation and in the absence of access to the server.Conclusion. The use of digital twin technology in heat supply monitoring makes it possible to optimize the thermal graph of the object by simulating the optimal values of the heat-carrying agent based on environmental parameters with an error in modeling the water temperature in the supply pipeline of Δt = ±5°C at ambient temperatures from –8 to +3 °C.","url":"https://doi.org/10.32603/1993-8985-2025-28-2-107-116","authors":["Vasilisa A. Baronova","Natalia V. Romantsova"],"tags":["Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-03","doi":"https://doi.org/10.32603/1993-8985-2025-28-2-107-116","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4404187708","name":"The Economic and Regulatory Challenges of Implementing Digital Twins and Autonomous Vessels in U.S. Maritime Fleet Modernization","source":"openalex","abstract":"The modernization of the U.S. maritime fleet is crucial to maintaining competitiveness in an evolving global landscape. This review examines the economic and regulatory challenges of implementing digital twins and autonomous vessels within this sector. Digital twins provide a virtual replica of vessels, enabling real-time monitoring, predictive maintenance, and operational efficiency, while autonomous vessels promise cost savings and enhanced safety by minimizing human error. However, adopting these technologies poses significant challenges, including high initial investment, integration with legacy systems, and regulatory gaps. This paper discusses the current limitations within U.S. regulatory frameworks, economic impacts, and international standards that impact fleet modernization efforts. It further discusses collaborative approaches to overcome funding and technical barriers, emphasizing the need for dynamic, adaptive regulations to balance innovation with safety and compliance in an increasingly automated maritime industry.","url":"https://doi.org/10.38124/ijisrt/ijisrt24nov075","authors":["Tunde Olamide Ogundare","Akan Ime Ibokette","Abraham Peter Anyebe","Adegboyega Daniel During"],"tags":["Modernization theory","Business","Maritime industry","International trade","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-08","doi":"https://doi.org/10.38124/ijisrt/ijisrt24nov075","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4410969370","name":"Digital Twins: A Solution Under the Standard k-ε Model in Industrial CFD, to Predict Ideal Conditions in a Sugar Dryer","source":"openalex","abstract":"Currently, emerging technologies such as digital twins, through the application of frontier techniques, have achieved physics-based simulations that reduce time and costs. Hence, its application is of the utmost importance in the industry, mainly in the sugar drying process of sugar mills for an updated version of the process. Sugar mills lack process control, leading to unexpected issues. Sugar mills with poor process control cause operational problems. This article presents significant innovation in the field of industrial process optimisation through the integration of digital twins with the k-ε standard model in computational fluid dynamics (CFD). The primary objective of this publication is to predict the ideal conditions of a centrifugal sugar dryer using CFD through the k-ε standard model to analyse the aerodynamic behaviour of the ambient air by applying heat through heat exchangers to obtain a suitable mass flow. The mathematical model was carried out under an energy balance to the thermodynamic system to study the behaviour through a simulation in MATLAB R2017 and an air-fluid simulation of drying with software CFD 2015. The results proved that the model of the thermal system and frontier conditions, when applying CFD, carried our simulation and remained stable. The ideal operating conditions of the centrifugal sugar dryer can be predicted effectively, with an energy saving of 4.25%.","url":"https://doi.org/10.3390/fluids10060146","authors":["Verónica Guerrero-Hernández","Guillermo Reyes-Morales","Violeta Alejandra Bastián Lima","Jorge Ortega-Moody","Quelbis Román Quintero Bertel","Gerardo Águila Rodríguez","Blanca Estela González Sánchez","Claudia Ceballos-Díaz","Luis Carlos Sandoval Herazo"],"tags":["Computational fluid dynamics","Ideal (ethics)","Sugar","Process engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-01","doi":"https://doi.org/10.3390/fluids10060146","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4396967417","name":"A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management","source":"openalex","abstract":"Industry 5.0 is an emerging value-driven manufacturing model in which human–machine interface-oriented intelligent manufacturing is one of the core concepts. Based on the theoretical human–cyber–physical system (HCPS), a reference framework for human–machine collaborative additive manufacturing for Industry 5.0 is proposed. This framework establishes a three-level product–economy–ecology model and explains the basic concept of human–machine collaborative additive manufacturing by considering the intrinsic characteristics and functional evolution of additive manufacturing technology. Key enabling technologies for product development process design are discussed, including the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT) technology, extended reality, and intelligent materials. Additionally, the typical applications of human–machine collaborative additive manufacturing in the product, economic, and ecological layers are discussed, including personalized product design, interactive manufacturing, human–machine interaction (HMI) technology for the process chain, collaborative design, distributed manufacturing, and energy conservation and emission reductions. By developing the theory of the HCPS, for the first time its core concepts, key technologies, and typical scenarios are systematically elaborated to promote the transformation of additive manufacturing towards the Industry 5.0 paradigm of human–machine collaboration and to better meet the personalized needs of users.","url":"https://doi.org/10.3390/su16104158","authors":["Sunanda Rani","Dong Jining","Khadija Shoukat","Muhammad Usman Shoukat","Saqib Ali Nawaz"],"tags":["Mechanism (biology)","Manufacturing engineering","Manufacturing","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-15","doi":"https://doi.org/10.3390/su16104158","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4411703846","name":"Graph-driven digital twins as assistants to bridge maintenance","source":"openalex","abstract":"(English) Bridges are vital components of transport infrastructure networks which are facing a widespread lack of resilience due to aging and changing environmental conditions. Finding more efficient methods for monitoring bridge networks and effectively planning their maintenance is crucial for maintaining reasonable serviceability levels. Simultaneously, digital twins are emerging across industries as dynamic digital replicas of physical assets. These are continuously updated with information from their physical counterparts and serve as the foundation for digital tools that enhance workflows in decision-making processes throughout the lifecycle of any product. This dissertation translates the concept of digital twins to the bridge maintenance domain and presents a framework for developing graph-driven digital twin systems to assist bridge managers in tracking the state of their asset portfolio. For this purpose, two different proof-of-concept systems are presented: System A and System B. Both systems are cloud-based, modular, and use graphs to integrate multiple data sources describing the bridges, their context, and relevant maintenance information. The systems are tested with real data corresponding to two demonstration cases of road and railway bridges in the Spanish infrastructure network. Through these demonstrators, the digital twin systems are developed to integrate BIM, GIS, sensor time-series data, and data related to the results of monitoring processes that is structured according to regional standards. System A focuses on hosting digital twins of individual bridges. It uses a labelled property graph (LPG) to interconnect IFC data with IoT sensor data and the results from visual inspections and load tests. Data integration is achieved by matching GUIDs of data contained the graph with data stored in the different databases and systems connected. The implementation of the system is demonstrated through a web-based digital twin platform, containing applications that allow visualizing and interacting with contextualized inspection and load test data. System B focuses on interconnecting multiple bridge digital twins within the same network. It employs a knowledge graph built from Resource Description Framework (RDF)-based graphs and a set of ontologies. The system integrates geographical data according to INSPIRE data models, IFC models, and data from visual inspections. The system presents a data management approach based on strata, which manage and compartmentalize information subsets, and implements the information containers for linked document delivery (ICDD) standard for exchanging graph data with linked documents. The system is demonstrated through a set of fictitious scenarios that simulate interactions between bridge administrators and third parties. Through these systems, this dissertation demonstrates the usefulness of graph technologies in developing digital twins of bridges that are aligned with current industry standards and practices. It emphasizes the advantages of the Knowledge Graph-based approach for simplifying interactions with connected applications, enabling decoupled application development, and enhancing the system scalability and expandability with new datasets. Notwithstanding, real implementation of these systems requires further validation and use cases, as well as collaboration among system developers, administrators, academia, and industry stakeholders to generate a coherent digital ecosystem that enhances the efficiency and productivity of bridge maintenance practices. (Català) Els ponts són components vitals de les infraestructures de transport que s'enfronten a una falta generalitzada de resiliència deguda al seu envelliment i a les canviants condicions ambientals. Trobar mètodes més eficients per monitoritzar les xarxes de ponts i planificar efectivament el seu manteniment és crucial per mantenir nivells de servei raonables. Simultàniament, els bessons digitals estan emergint en dive","url":"https://doi.org/10.5821/dissertation-2117-432851","authors":["Carlos Ramonell Cazador"],"tags":["Bridge (graph theory)","Graph","Computer science","Medicine","Theoretical computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-28","doi":"https://doi.org/10.5821/dissertation-2117-432851","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7117155701","name":"Digital divide and income inequality: causal evidence from Italian provinces","source":"openalex","abstract":"Abstract The digital economy can function either as a catalyst to stimulate economic growth or else as a driver of socioeconomic inequality when its benefits are unevenly distributed. This study investigates the effect of rural digital connectivity on income inequality in Italy. Utilizing NUTS 3 panel data spanning 2014–2022, we conduct a counterfactual Difference-in-Differences approach with continuous treatment intensity to estimate the impact of introducing rural broadband coverage at speeds of 30 and 100 Mbps on multiple measures of income distribution, including the Gini, Theil, and Atkinson indices. The empirical framework incorporates a comprehensive set of socioeconomic controls, as well as provincial and time fixed effects, to account for unobserved heterogeneity and regional path dependencies. Our findings indicate that broadband expansion is significantly associated with increasing inequality, suggesting that access alone does not guarantee inclusive outcomes, particularly in localities characterized by structural fragility and limited human capital. Additional heterogeneity and spatial analyses demonstrate that these inequality effects are more evident in southern provinces and localities with a higher concentration of inner areas, where the digital divide remains more pronounced. These findings accentuate the dual role of digitalization and highlight the necessity of coordinated policy interventions that combine infrastructure investment with digital skills development, institutional capacity-building, and spatially integrated governance strategies.","url":"https://doi.org/10.1007/s00168-025-01440-z","authors":["Angela Stefania Bergantino","Giulio Fusco","Mario Intini","Gianluca Monturano"],"tags":["Digital divide","Inequality","Economic inequality","Counterfactual thinking","Panel data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-24","doi":"https://doi.org/10.1007/s00168-025-01440-z","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4396821170","name":"A real-time digital twin of azimuthal thermoacoustic instabilities","source":"openalex","abstract":"When they occur, azimuthal thermoacoustic oscillations can detrimentally affect the safe operation of gas turbines and aeroengines. We develop a real-time digital twin of azimuthal thermoacoustics of a hydrogen-based annular combustor. The digital twin seamlessly combines two sources of information about the system (i) a physics-based low-order model; and (ii) raw and sparse experimental data from microphones, which contain both aleatoric noise and turbulent fluctuations. First, we derive a low-order thermoacoustic model for azimuthal instabilities, which is deterministic. Second, we propose a real-time data assimilation framework to infer the acoustic pressure, the physical parameters, and the model and measurement biases simultaneously. This is the bias-regularized ensemble Kalman filter (r-EnKF), for which we find an analytical solution that solves the optimization problem. Third, we propose a reservoir computer, which infers both the model bias and measurement bias to close the assimilation equations. Fourth, we propose a real-time digital twin of the azimuthal thermoacoustic dynamics of a laboratory hydrogen-based annular combustor for a variety of equivalence ratios. We find that the real-time digital twin (i) autonomously predicts azimuthal dynamics, in contrast to bias-unregularized methods; (ii) uncovers the physical acoustic pressure from the raw data, i.e., it acts as a physics-based filter; (iii) is a time-varying parameter system, which generalizes existing models that have constant parameters, and capture only slow-varying variables. The digital twin generalizes to all equivalence ratios, which bridges the gap of existing models. This work opens new opportunities for real-time digital twinning of multi-physics problems.","url":"https://doi.org/10.48550/arxiv.2404.18793","authors":["Andrea Nóvoa","Nicolas Noiray","James R. Dawson","Luca Magri"],"tags":["Azimuth","Physics","Acoustics","Computer science","Optics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-29","doi":"https://doi.org/10.48550/arxiv.2404.18793","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4411452550","name":"Digital Economy, Green Finance, and Carbon Emissions: Evidence from China","source":"openalex","abstract":"This paper investigates the role of the digital economy in reducing carbon emissions, with a particular focus on the moderating and threshold effects of green finance. An analysis of data from 30 Chinese provinces shows that the digital economy significantly reduces carbon emission intensity by restructuring energy consumption and promoting green technological innovation. Green finance plays a crucial moderating role by alleviating financial barriers to digital transformation and supporting the implementation of emission-reducing technologies. The study reveals a nonlinear relationship, with green finance exhibiting a “strong initial, weak subsequent” threshold effect. At the same time, the digital economy’s impact on carbon reduction strengthens over time as technological development progresses. These findings contribute to understanding how digitalisation and green finance can work synergistically to drive sustainable low-carbon development.","url":"https://doi.org/10.3390/su17125625","authors":["Weibo Jin","Yiming Wang","Yi Yan","Hongyan Zhou","Longyu Xu","Yi Zhang","Yao Xu","Yuqi Zhang"],"tags":["Restructuring","Carbon finance","Low-carbon economy","Greenhouse gas","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.3390/su17125625","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401945049","name":"Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review","source":"openalex","abstract":"Modern lifestyle trends, such as sedentary behaviour and unhealthy diets, have been associated with obesity, a major health challenge increasing the risk of multiple pathologies. This has prompted many to reassess their routines and seek expert guidance on healthy living. In the digital era, users quickly turn to mobile apps for support. These apps monitor various aspects of daily life, such as physical activity and calorie intake; collect extensive user data; and apply modern data-driven technologies, including artificial intelligence (AI) and machine learning (ML), to provide personalised diet and lifestyle recommendations. This work examines the state of the art in data-driven technologies for personalised nutrition, including relevant data collection technologies, and explores the research challenges in this field. A literature review, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, was conducted using three databases, covering studies from 2021 to 2024, resulting in 67 final studies. The data are presented in separate subsections for recommendation systems (43 works) and data collection technologies (17 works), with a discussion section identifying research challenges. The findings indicate that the fields of data-driven innovation and personalised nutrition are predominately amalgamated in the use of recommender systems.","url":"https://doi.org/10.3390/informatics11030062","authors":["Dimitris G. Tsolakidis","Lazaros Gymnopoulos","Kosmas Dimitropoulos"],"tags":["Data collection","Data science","Computer science","Digital health","Systematic review"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-28","doi":"https://doi.org/10.3390/informatics11030062","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4411293004","name":"Requirements Analysis for a Digital Twin to Increase the Resilience of Multimodal Corridors: A Case Study in the Twente Region","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-94931-9_18","authors":["Renata S. S. Guizzardi","Jean Paul Sebastian Piest","Arda Akyazi","Sekai Ariji","Tommy Tao","Mohsen Bastani","Anne-Ruth Scheijgrond","Rolands Kromanis","Farid Vahdatikhaki","Joschka Andreas Hüllmann","Martijn Mes"],"tags":["Resilience (materials science)","Computer science","Geography","Materials science","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-94931-9_18","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7131278121","name":"Overcoming synchronization challenges in machining digital twins: transpiling legacy NC dialects to enhance interoperability","source":"openalex","abstract":"Abstract Digital Twin (DT) technology is a key enabler of smart manufacturing, with extensive research devoted to virtual replicas of physical assets in both subtractive and additive processes. In this context, numerical control (NC) programs are central to synchronizing physical and virtual twins, yet they are typically based on G-code, a low-level language introduced in the 1960s. Although standardized at its core, G-code has been widely extended by CNC system developers, leading to multiple dialects and significant interoperability issues across heterogeneous machines. These differences hinder effective synchronization, particularly due to the difficulty of aligning timestamps among NC programs. This study proposes a methodology to improve synchronization and interoperability by transpiling NC dialects into a higher-level abstraction based on a comprehensive and fine-grained set of machining functions. The methodology is implemented as an extensible object-oriented framework. Validation through the successful transpilation of a legacy NC dialect demonstrates the ability to compute accurate event timelines, providing a foundation for the development of robust Digital Twins for G-code-based manufacturing processes.","url":"https://doi.org/10.1007/s00170-026-17723-4","authors":["Francisco Ricardo Taborda Aguiar","Claudimir José Rebeyka","Dalberto Dias da Costa"],"tags":["Interoperability","Computer science","Synchronization (alternating current)","Enabling","Machining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-24","doi":"https://doi.org/10.1007/s00170-026-17723-4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412690924","name":"A Digital Twin-based System for the Indoor Environmental Quality Monitoring in Off-Site Construction Facilities","source":"openalex","abstract":"Off-site construction (OSC) is a well-established paradigm for achieving productivity, safety, and sustainability in construction.The key factor in its success is the efficiency of the workforce transforming blueprints into actual buildings and building elements.This has driven efforts to improve working conditions at the production facility, paving the way towards humancentric construction manufacturing.Achieving a safe and healthy indoor environmental quality (IEQ) is among the most critical aspects of this endeavor.Given the dynamic nature of IEQ in OSC facilities, there is a need for realtime performance monitoring as a means of identifying any deviations from IEQ standards and regulations.As such, the objective of this study is to develop a digital twin-based system for real-time monitoring of the IEQ of OSC facilities with continuous management and alerting features.The proposed O-IEQ Alert System encompasses four phases: (1) IEQ metrics identification, (2) data acquisition, (3) digital modelling, and (4) development of the IEQ alerting component.The system is successfully applied in a case study of a wall-production manufacturing facility.A web-based alert system is developed that presents real-time monitoring of the IEQ indices, including Air Quality Index, thermal comfort Predicted Mean Vote Index, and the Sound Level Index for each workstation along with the time-series trends.In case any of the indices does not fall within the defined threshold, an alert is issued to management to take the necessary corrective and preventive measures.The ultimate aim is to provide a safe, healthy, and productive working environment in OSC facilities.","url":"https://doi.org/10.22260/isarc2025/0115","authors":["Sena Assaf","Mohamed Assaf","Xinming Li","Ahmed Bouferguène","Mohamed Al‐Hussein"],"tags":["Computer science","Quality (philosophy)","Environmental science","Philosophy","Epistemology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.22260/isarc2025/0115","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412825021","name":"Governance Framework for Citizen Digital Twins in Smart Cities","source":"openalex","abstract":"The integration of digital twin technology in smart city ecosystems presents unprecedented opportunities for urban management while creating complex challenges for individual privacy and data sovereignty. This paper discusses identity reconstruction issues caused by the accumulation of personal data in urban digital twin systems. Drawing on a systematic review of current governance practices, we conclude that there are major limitations of static permission schemes and fragmented regulatory schemes. We propose a new \"Dynamic Authorization Data Sandbox\" (DADS) governance model that combines fine-grained consent frameworks, context-aware identity management, and segregated data processing environments. The model supports citizens to be in effective control of their digital surrogates while facilitating right smart city functionality. Stakeholder workshop evaluation indicates that the framework provides a 67% improvement in data sovereignty perceptions and a 42% increase in willingness to participate in digital twin activities. This research contributes to people-centered smart city development through the establishment of governance systems that balance innovation with fundamental rights to privacy and self-determination.","url":"https://doi.org/10.63808/ihf.v1i1.32","authors":["Carlos DeVries"],"tags":["Corporate governance","Citizen science","Smart city","Business","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.63808/ihf.v1i1.32","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7118939551","name":"Plant Digital Twins: The Fusion of Biology and Artificial Intelligence","source":"openalex","abstract":"The speed of the convergence between biological sciences and artificial intelligence is changing how we perceive, observe and regulate plant systems. Nowadays, the agricultural sector is on the verge of a technological revolution, a revolution in which virtual plant replicas, or plant digital twins, provide unprecedented data on patterns of growth, stress tolerance, nutrient interactions, disease forecasting, and yield optimization. Plant Digital Twins: The Fusion of Biology and Artificial Intelligence is a book that is written as a referral book by students, researchers, scientists, and innovators who would be interested in venturing into this transformative field. It also combines the basics of biology and advanced algorithms and demonstrates that digital twins have the potential to transform modern agriculture, climate resilience, herbal studies, precision farming, and sustainable crop development. The book bridges the gap between theory and practice relating to plant physiology, IoT-enabled sensing, cloud computing, data analytics, AI-driven modelling, and simulation sciences. In every chapter, there are good insights, case studies, and technological trends that are influencing the future of plant science. It is meant to empower the readers with not only the conceptual but also practical relevance to prepare them in the following era of intelligent, smart, and sustainable agriculture.","url":"https://doi.org/10.55938/wlp.v2i7.302","authors":["Aashna Sinha","Geetanjali Shukla","Fraiz Parveen","Anita Gehlot","Rajesh Singh"],"tags":["Transformative learning","Artificial intelligence","Computer science","Data science","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-21","doi":"https://doi.org/10.55938/wlp.v2i7.302","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4410538574","name":"Digital Procurement 4.0: Redesigning Government Contracting Systems with AI-Driven Ethics, Compliance, and Performance Optimization","source":"openalex","abstract":"The advent of Digital Procurement 4.0 marks a transformative shift in government contracting systems, integrating artificial intelligence (AI), data analytics, and automation to enhance transparency, efficiency, and ethical compliance. This study explores the redesign of public procurement frameworks using AI-driven models that ensure not only cost-effectiveness but also adherence to legal, ethical, and performance standards. Traditional procurement systems often grapple with inefficiencies, corruption, lack of accountability, and delayed service delivery. Digital Procurement 4.0 presents an opportunity to counter these limitations through predictive analytics, blockchain-based audit trails, robotic process automation (RPA), and intelligent contract management systems. This paper proposes a comprehensive AI-driven framework that embeds real-time risk detection, compliance verification, vendor performance monitoring, and ethical safeguards throughout the procurement lifecycle. By integrating natural language processing (NLP) for contract analysis, machine learning algorithms for bid evaluation, and automated compliance checkers, governments can ensure fairness, reduce fraud, and promote value-for-money outcomes. Moreover, digital twin technologies enable simulations that forecast procurement outcomes under varying socio-economic scenarios, thus enhancing strategic decision-making. The research draws on recent case studies from digitally advanced governments, demonstrating how AI integration has improved procurement efficiency by up to 45%, reduced fraud incidences by 30%, and enhanced stakeholder trust. Additionally, the study outlines a regulatory and governance blueprint to mitigate algorithmic bias and ensure accountability in AI-led procurement systems. Particular emphasis is placed on ethical algorithm design, data transparency, and participatory oversight mechanisms involving civil society and independent watchdogs. Ultimately, this paper underscores the national importance of adopting Digital Procurement 4.0 in public sector governance. As public expenditure accounts for over 12% of global GDP, optimizing this function through technology has widespread implications for fiscal sustainability, public trust, and socio-economic development. This research offers policy recommendations, implementation strategies, and a roadmap for governments aiming to build ethical, efficient, and AI-enabled contracting ecosystems.","url":"https://doi.org/10.32628/cseit24102138","authors":["Amusa Tolulope Ayobami","Uchenna Mike-Olisa","Jeffrey Chidera Ogeawuchi","Abraham Ayodeji Abayomi","Oluwademilade Aderemi Agboola"],"tags":["Compliance (psychology)","Procurement","Business","Government (linguistics)","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-29","doi":"https://doi.org/10.32628/cseit24102138","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4414085472","name":"The causal journey: from maps to mechanisms and digital twins","source":"openalex","abstract":"Over three decades, statistical parametric mapping has transformed neuroimaging from descriptive mapping to causal inference, placing generative models at the core of causal explanations for brain function. It inspired to a large degree The Virtual Brain, which builds subject-specific digital twins from multimodal data, enabling brain simulations and exploration. Both frameworks converge at parameter estimation, where model and data meet, providing the mathematical manifestation of cause-effect in pathophysiology.","url":"https://doi.org/10.1093/cercor/bhaf255","authors":["Viktor Jirsa"],"tags":["Computer science","Generative grammar","Neuroimaging","Causal model","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-01","doi":"https://doi.org/10.1093/cercor/bhaf255","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4415672970","name":"Digital twin for CIP-washing station with SCADA system","source":"openalex","abstract":"Цифровой двойник SCADA-интегрированной станции CIP-мойки  В. С","url":"https://doi.org/10.35330/1991-6639-2025-27-4-11-23","authors":["V.S. Artemyev"],"tags":["SCADA","Computer science","Engineering","Software","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.35330/1991-6639-2025-27-4-11-23","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4413416164","name":"SYNTHUA-DT: A Methodological Framework for Synthetic Dataset Generation and Automatic Annotation from Digital Twins in Urban Accessibility Applications","source":"openalex","abstract":"Urban scene understanding for inclusive smart cities remains challenged by the scarcity of training data capturing people with mobility impairments. We propose SYNTHUA-DT, a novel methodological framework that integrates unmanned aerial vehicle (UAV) photogrammetry, 3D digital twin modeling, and high-fidelity simulation in Unreal Engine to generate annotated synthetic datasets for urban accessibility applications. This framework produces photo-realistic images with automatic pixel-perfect segmentation labels, dramatically reducing the need for manual annotation. Focusing on the detection of individuals using mobility aids (e.g., wheelchairs) in complex urban environments, SYNTHUA-DT is designed as a generalized, replicable pipeline adaptable to different cities and scenarios. The novelty lies in combining real-city digital twins with procedurally placed virtual agents, enabling diverse viewpoints and scenarios that are impractical to capture in real life. The computational efficiency and scale of this synthetic data generation offer significant advantages over conventional datasets (such as Cityscapes or KITTI), which are limited in accessibility-related content and costly to annotate. A case study using a digital twin of Curitiba, Brazil, validates the framework’s real-world applicability: 22,412 labeled images were synthesized to train and evaluate vision models for mobility aids user detection. The results demonstrate improved recognition performance and robustness, highlighting SYNTHUA-DT’s potential to advance urban accessibility by providing abundant, bias-mitigating training data. This work paves the way for inclusive computer vision systems in smart cities through a rigorously engineered synthetic data pipeline.","url":"https://doi.org/10.3390/technologies13080359","authors":["Santiago Felipe Luna Romero","Mauren Abreu de Souza","Luis Serpa-Andrade"],"tags":["Annotation","Computer science","Data science","Artificial intelligence","Information retrieval"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-14","doi":"https://doi.org/10.3390/technologies13080359","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4413217460","name":"Physics‐Informed Digital Twins: Enhancing Concrete Structural Assessment Based on Point Cloud Data","source":"openalex","abstract":"Finite element modeling is widely regarded as an effective method for simulating structural responses, but maintaining geometrical consistency with damaged physical structures remains insufficiently explored. This paper proposes a new physics‐informed digital twin framework for concrete structure modeling and implements the twinning/synchronization process between the physical model and its counterpart finite element analysis (FEA) model. This framework starts with point cloud scanning for damage and point cloud processing. Subsequently, a direct mapping method called Voxel–Node–Element (VNE) is proposed, which can improve mapping efficiency and reduce mapping errors. Furthermore, a multiscale modeling method is adopted to enhance digital twin modeling updates, dramatically reducing the number of elements and improving computational efficiency. An experimental case study was conducted to evaluate this method, showing good alignment between point cloud and physics models with a geometric error of less than 5%. Additionally, computational efficiency was improved by 95% compared to traditional methods. This method can also be used for full‐scale structure modeling, which was validated in the case of damage updates for large bridges. This study enables a highly accurate and efficient method for updating digital twin models. This capability was validated through damage updates applied to large‐scale bridge structures.","url":"https://doi.org/10.1155/stc/5605927","authors":["Honghong Song","Xiaofeng Zhu","Haijiang Li","Gang Yang","Tian Zhang"],"tags":["Point cloud","Computer science","Cloud computing","Finite element method","Consistency (knowledge bases)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1155/stc/5605927","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4405514853","name":"CGRclust: Chaos Game Representation for twin contrastive clustering of unlabelled DNA sequences","source":"openalex","abstract":"BACKGROUND: Traditional supervised learning methods applied to DNA sequence taxonomic classification rely on the labor-intensive and time-consuming step of labelling the primary DNA sequences. Additionally, standard DNA classification/clustering methods involve time-intensive multiple sequence alignments, which impacts their applicability to large genomic datasets or distantly related organisms. These limitations indicate a need for robust, efficient, and scalable unsupervised DNA sequence clustering methods that do not depend on sequence labels or alignment. RESULTS: This study proposes CGRclust, a novel combination of unsupervised twin contrastive clustering of Chaos Game Representations (CGR) of DNA sequences, with convolutional neural networks (CNNs). To the best of our knowledge, CGRclust is the first method to use unsupervised learning for image classification (herein applied to two-dimensional CGR images) for clustering datasets of DNA sequences. CGRclust overcomes the limitations of traditional sequence classification methods by leveraging unsupervised twin contrastive learning to detect distinctive sequence patterns, without requiring DNA sequence alignment or biological/taxonomic labels. CGRclust accurately clustered twenty-five diverse datasets, with sequence lengths ranging from 664 bp to 100 kbp, including mitochondrial genomes of fish, fungi, and protists, as well as viral whole genome assemblies and synthetic DNA sequences. Compared with three recent clustering methods for DNA sequences (DeLUCS, iDeLUCS, and MeShClust v3.0.), CGRclust is the only method that surpasses 81.70% accuracy across all four taxonomic levels tested for mitochondrial DNA genomes of fish. Moreover, CGRclust also consistently demonstrates superior performance across all the viral genomic datasets. The high clustering accuracy of CGRclust on these twenty-five datasets, which vary significantly in terms of sequence length, number of genomes, number of clusters, and level of taxonomy, demonstrates its robustness, scalability, and versatility. CONCLUSION: CGRclust is a novel, scalable, alignment-free DNA sequence clustering method that uses CGR images of DNA sequences and CNNs for twin contrastive clustering of unlabelled primary DNA sequences, achieving superior or comparable accuracy and performance over current approaches. CGRclust demonstrated enhanced reliability, by consistently achieving over 80% accuracy in more than 90% of the datasets analyzed. In particular, CGRclust performed especially well in clustering viral DNA datasets, where it consistently outperformed all competing methods.","url":"https://doi.org/10.1186/s12864-024-11135-y","authors":["Fatemeh Alipour","Kathleen A. Hill","Lila Kari"],"tags":["Cluster analysis","Biology","DNA sequencing","Unsupervised learning","Computational biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-18","doi":"https://doi.org/10.1186/s12864-024-11135-y","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4401200967","name":"Photogrammetry for Digital Twinning Industry 4.0 (I4) Systems","source":"openalex","abstract":"The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and universal network connectivity, resulting in performance optimization and increase productivity. Digital Twins (DT) are one such transformational technology that leverages software systems to replicate physical process behavior, representing the physical process in a digital environment. This paper aims to explore the use of photogrammetry (which is the process of reconstructing physical objects into virtual 3D models using photographs) and 3D Scanning techniques to create accurate visual representation of the 'Physical Process', to interact with the ML/AI based behavior models. To achieve this, we have used a readily available consumer device, the iPhone 15 Pro, which features stereo vision capabilities, to capture the depth of an Industry 4.0 system. By processing these images using 3D scanning tools, we created a raw 3D model for 3D modeling and rendering software for the creation of a DT model. The paper highlights the reliability of this method by measuring the error rate in between the ground truth (measurements done manually using a tape measure) and the final 3D model created using this method. The overall mean error is 4.97\\% and the overall standard deviation error is 5.54\\% between the ground truth measurements and their photogrammetry counterparts. The results from this work indicate that photogrammetry using consumer-grade devices can be an efficient and cost-efficient approach to creating DTs for smart manufacturing, while the approaches flexibility allows for iterative improvements of the models over time.","url":"https://doi.org/10.48550/arxiv.2407.18951","authors":["Ahmed Alhamadah","Muntasir Mamun","Henry Harms","Mathew Redondo","Yu-Zheng Lin","Jesús Pacheco","Soheil Salehi","Pratik Satam"],"tags":["Crystal twinning","Photogrammetry","Industry 4.0","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.48550/arxiv.2407.18951","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7134177810","name":"AI-Driven Fault Detection and O&M for Wind Turbine Drivetrains: A Review of SCADA, CMS and Digital Twin Integration","source":"openalex","abstract":"The rapid expansion of wind energy has increased the operational complexity of wind turbines, where component degradation, environmental variability, and maintenance decisions are tightly coupled. Artificial intelligence (AI) has been widely applied to support fault detection and operation and maintenance (O&M), yet many existing studies remain fragmented and insufficiently address practical challenges such as heterogeneous data, sparse fault labels, and cross-site generalization. This review provides an engineering-oriented synthesis of AI-based methods for wind turbine fault detection and O&M, focusing on drivetrain diagnostics as a representative application. The literature is organized along an end-to-end O&M workflow, including SCADA-based condition monitoring, component-level fault diagnosis, health assessment and remaining useful life estimation, multi-modal blade inspection, and DT (Digital Twin) integration. Traditional ML (machine learning), ensemble methods, deep learning, physics-informed learning, and transfer learning are reviewed with respect to their data requirements, operational assumptions, and deployment constraints. Beyond algorithmic performance, this review discusses data governance, alarm design, model updating, and interpretability, and summarizes public datasets and emerging data resources. The aim is to bridge methodological advances and practical O&M requirements, supporting reliable and deployable AI applications in wind energy systems.","url":"https://doi.org/10.3390/en19051370","authors":["Ning Jia","Jiangzhe Feng","Zongyou Zuo","Zhiyi Liu","Tengyuan Wang","Chang Cai","Qingan Li"],"tags":["Software deployment","Fault detection and isolation","Wind power","Turbine","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-07","doi":"https://doi.org/10.3390/en19051370","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7163003874","name":"Digital twin federation for urban mobility assessment: Definition, pillars, and a human-in-the-loop functional architecture","source":"openalex","abstract":"Urban mobility systems face growing challenges. While various smart mobility solutions have been proposed, there is still a lack of comprehensive tools for assessing the impact of these solutions in a dynamic and iterative manner. Recent literature increasingly adopts the Digital Twin (DT) concept. However, DTs have conventionally been framed around automating solutions, which often conflict with the requirements of human-driven planning in socio-technical systems, leading to ambiguities in how DTs should be defined and operationalised for mobility planning. To fill this gap, this paper presents the concept of a Digital Twin Federation (FedDT) designed for comprehensive urban mobility assessments. Firstly, a definition of the FedDT concept is established based on four conceptual pillars, including physical & digital system exchange, system monitoring & planning, outcome evaluation & immersive experience, and human-in-the-loop control. Building on the concept and 5 stakeholder co-design sessions, we present a functional FedDT architecture that enables iterative, bidirectional data exchange between the physical and digital mobility systems, thereby supporting a data-driven decision-making process while ensuring the interests of stakeholders are continuously integrated. Finally, we demonstrate how the FedDT architecture can be instantiated through a proof-of-concept application framework. This framework serves as a research agenda that guides and links the development of separate modules to reduce private vehicle dependency in Amsterdam, the Netherlands. Overall, this work lays a conceptual and architectural foundation for FedDT, advancing the implementation of integrated digital twin solutions for sustainable mobility systems.","url":"https://doi.org/10.1016/j.tra.2026.105086","authors":["Jingjun Li","Jascha Grübel","Ali Nadi","Maaike Snelder","Bart van Arem","Jie Gao"],"tags":["Architecture","Transport engineering","Computer science","Telecommunications","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.1016/j.tra.2026.105086","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4416245682","name":"NEW DIGITAL TECHNOLOGIES: CHALLENGES AND OPPORTUNITIES","source":"openalex","abstract":"This text explores the nature, applications, and challenges of new digital technologies as a key driver of transformation in the modern economy and society. The first chapter defines the concept of “digital technologies” and presents the main technological domains-artificial intelligence, big data, the internet of things, cloud computing, blockchain, and digital twins. Their core characteristics, such as scalability, network effects, and data-driven models, are highlighted. The second chapter analyzes the application of digital technologies across different sectors-services, healthcare, and education-showing how they stimulate innovation, productivity, and competitiveness. The discussion also covers the broader socio-economic effects, including changes in the labor market and skills, digital inequality, and the digitalization of public services. The third chapter outlines the main challenges of digital transformation: technological integration, lack of standardized frameworks, digital divides, and ethical and security concerns. Future research directions are identified, focusing on multi-level analysis, sustainability, measurement and methodological development, and the inclusion of small and medium-sized enterprises and developing economies.","url":"https://doi.org/10.46687/jsar.v29i1.459","authors":["Nikolay Yordanov","Yordanka Yankova-Yordanova"],"tags":["Digital transformation","Digital economy","Cloud computing","Key (lock)","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-15","doi":"https://doi.org/10.46687/jsar.v29i1.459","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4415349124","name":"Lost in translation: why digital twins thrive in research but falter in politics and public administration","source":"openalex","abstract":"Abstract Since 2017, Digital Twins (DTs) have gained prominence in academic research, with researchers actively conceptualising, prototyping, and implementing DT applications across disciplines. The transformative potential of DTs has also attracted significant private sector investment, leading to substantial advancements in their development. However, their adoption in politics and public administration remains limited. While governments fund extensive DT research, their application in governance is often seen as a long-term prospect rather than an immediate priority, hindering their integration into decision-making and policy implementation. This study bridges the gap between theoretical discussions and practical adoption of DTs in governance. Using the Technology Readiness Level (TRL) and Technology Acceptance Model (TAM) frameworks, we analyse key barriers to adoption, including technological immaturity, limited institutional readiness, and scepticism regarding practical utility. Our research combines a systematic literature review of DT use cases with a case study of Germany, a country characterised by its federal governance structure, strict data privacy regulations, and strong digital innovation agenda. Our findings show that while DTs are widely conceptualised and prototyped in research, their use in governance remains scarce, particularly within federal ministries. Institutional inertia, data privacy concerns, and fragmented governance structures further constrain adoption. We conclude by emphasising the need for targeted pilot projects, clearer governance frameworks, and improved knowledge transfer to integrate DTs into policy planning, crisis management, and data-driven decision-making.","url":"https://doi.org/10.1017/dap.2025.10027","authors":["Friederike Richter","Kirsty Campbell","Jasmin Riedl"],"tags":["Skepticism","Corporate governance","Politics","Public administration","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1017/dap.2025.10027","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4400021976","name":"Immersive Digital Twins of an Industrial Forge in Engineering Education","source":"openalex","abstract":"International audience","url":"https://openalex.org/W4400021976","authors":["Sylvain Fleury","Cyrille Baudouin","Pierre Bondesan"],"tags":["Forge","Computer science","Human–computer interaction","Multimedia","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-10","doi":"","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4412040917","name":"A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions","source":"openalex","abstract":"AI-powered smart glasses are emerging as a highly promising advancement in the field of digital health management, owing to their capabilities in real-time monitoring, chronic disease management, and personalized treatment planning. To comprehensively understand the current state of development, we systematically searched multiple databases, including Web of Science, PubMed, and IEEE Xplore, to collect relevant literature. This paper provides a systematic analysis of the current applications of smart glasses in healthcare, focusing on their potential benefits and limitations. Key issues discussed include user engagement, treatment adherence, data privacy, standardization, battery efficiency, clinical validation, and medical ethics. Our findings suggest that, supported by emerging clinical evidence, smart glasses have demonstrated significant improvements in areas such as assisted medical services, health management, anxiety alleviation in children, and telemedicine. By integrating multi-modal sensors, these devices are capable of accurately tracking certain physiological indicators and synchronizing real-time visual input, thereby enhancing the accuracy and timeliness of health interventions and medical services. Notably, some cutting-edge smart glasses have adopted advanced artificial intelligence algorithms, particularly large language models (LLMs) with context awareness and human-like interaction capabilities. These AI-powered glasses can offer real-time, personalized dietary and health management recommendations tailored to users' daily life scenarios. Building on these findings, this study further proposes a conceptual framework for proactive health management using smart glasses and explores future directions in technological development and practical applications. Overall, AI-enhanced smart glasses show great potential as a critical interface between healthcare providers and patients, poised to play a vital role in the future of personalized medicine and continuous health management.","url":"https://doi.org/10.1038/s41746-025-01715-x","authors":["Boyuan Wang","Ying Zheng","Xihao Han","Liang Kong","Gexin Xiao","Zunxiong Xiao","Shanji Chen"],"tags":["Computer science","Context (archaeology)","Health care","Digital health","Standardization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-05","doi":"https://doi.org/10.1038/s41746-025-01715-x","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7128736234","name":"In-situ digital twinning of induction machines via sensitivity-based genetic algorithm parameter estimation","source":"openalex","abstract":"This paper presents a novel, non-invasive methodology for creating a high-fidelity digital twin using only steady-state operational data. The proposed approach employs a fourstep workflow with two-stage parameter identification algorithm. First, a grid-based sensitivity analysis is conducted to establish robust and constrained search boundaries. Subsequently, a genetic algorithm performs a precise search within these boundaries to identify the final T-equivalent circuit parameters. The methodology was validated on a 1.5 kW induction motor. All but core loss identified parameters demonstrated similarity with those obtained from standard offline tests, and the resulting digital twin accurately reproduced the machine?s behaviour when compared to experimental measurements.","url":"https://doi.org/10.2298/fuee2601285f","authors":["Filip Filipović","Andjela Stojiljkovic","Nebojša Mitrović","Bojan Banković","Milutin Petronijević","Vojkan Kostić"],"tags":["Sensitivity (control systems)","Identification (biology)","Estimation theory","Computer science","Genetic algorithm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.2298/fuee2601285f","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7125714590","name":"Artificial intelligence-based digital twin framework for circular economy optimization in healthcare waste management","source":"openalex","abstract":"Health care systems have grown to produce ever growing amounts of garbage, which further strain the environment, costs of running the system, and regulatory demands especially in the post pandemic period. The traditional methods of managing linear waste are also inefficient and do not well comply with a circular economy. The paper introduces an artificial intelligence-based, scientifically supported digital twin system that aims at maximizing the effectiveness of healthcare waste management through the application of real time sensing and analytics based on predictive algorithms and through the use of multi objective optimization that is integrated into the circle economy paradigm. The framework virtualizes the streams of waste materials in the hospital through Internet of Things based monitoring and implements the machine learning models to forecast, assess, and analyze waste and provide an optimization engine that balances the goals of both economy and environmental objectives within the regulatory constraints. Statistical results showed that there were significant and significant increases in all the key indicators. The average recycling rate rose by 20.0 to 50.7 percent which is the 30.7 percentage point, and the sample t testing group has verified that the difference is significant at p < 0.001, with a statistical power of 0.99. Statistically significant findings prove that the value of artificial intelligence facilitated digital twins can be used to provide the measurable, reproducible, and scalable benefits in terms of circularity, cost-effectiveness, and regulatory compliance in the management of healthcare waste and are justified in their integration into a data driven model of a sustainable approach to operating the hospital.","url":"https://doi.org/10.70593/deepsci.0201012","authors":["Birupaksha Biswas","Joseph Ozigis Akomodi"],"tags":["Circular economy","Big data","Engineering","Key (lock)","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.70593/deepsci.0201012","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4409545809","name":"Digital Economy and High-Quality Agricultural Development: Mechanisms of Technological Innovation and Spatial Spillover Effects","source":"openalex","abstract":"The digital economy has become a transformative force in modern agriculture, reshaping production methods and driving global sustainable development. Using panel data from 30 provinces in China from 2012 to 2022, this paper constructs a comprehensive econometric framework using the generalized method of moments and the spatial Durbin models to reveal the mediating role of technological innovation and the existence of spatial spillover effects. The results show that (1) under different regression models, the digital economy significantly promotes the high-quality development of agriculture, which is still valid after the robustness test; (2) the digital economy improves innovation input, output, and efficiency to promote the dissemination of new agricultural technologies and the improvement of resource utilization, thus speeding up the process of high-quality agricultural development; (3) the impact of the development of the digital economy on the high-quality development of agriculture has a positive spillover effect between different provinces in China; and (4) the impact of the digital economy is more significant in areas with stronger intellectual property protection and a larger urban–rural income gap. These insights highlight the need to develop policies that strengthen digital infrastructure and foster technological innovation to maximize the benefits of digital transformation in agriculture.","url":"https://doi.org/10.3390/su17083639","authors":["Jingyi Liang","Cuixia Qiao"],"tags":["Spillover effect","Agriculture","Quality (philosophy)","Business","Technological change"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-17","doi":"https://doi.org/10.3390/su17083639","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4410985655","name":"A Digital Twin-based condition monitoring system to detect and resolve web slip at traction rollers in a web processing machine","source":"openalex","abstract":"Slippage of web material over rollers is an undesirable phenomenon in web processing applications, causing damage to the web material. This leads to compromised quality and increased waste. While web slippage is commonly observed at high web speeds due to air entrapment on freely rotating rollers, it also occurs at lower web speeds at the traction rollers, which are designed to drive the web through the machine. Installing web speed sensors to detect such web slippage on multiple traction rollers in large-scale web processing machines is expensive. This work presents a novel Digital Twin methodology for online condition monitoring and fault detection to identify web slip at the traction rollers. The Digital Twin uses the contact forces between the web and the traction roller to detect web slippage, greatly reducing the need for web speed sensors and thereby cutting costs and time. Additionally, in response to detected web slip, the newly proposed Digital Twin further acts to resolve the slip. Experimental results demonstrate the effectiveness of the Digital Twin in detecting and resolving web slippage on three different web materials.","url":"https://doi.org/10.1016/j.jmsy.2025.05.001","authors":["Arulkumaran Mathivanan","Jeroen D. M. De Kooning","Kurt Stockman"],"tags":["Slip (aerodynamics)","Traction (geology)","Engineering","Web application","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-03","doi":"https://doi.org/10.1016/j.jmsy.2025.05.001","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4393065402","name":"A survey on large language model based autonomous agents","source":"openalex","abstract":"Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a systematic review of LLM-based autonomous agents from a holistic perspective. We first discuss the construction of LLM-based autonomous agents, proposing a unified framework that encompasses much of previous work. Then, we present a overview of the diverse applications of LLM-based autonomous agents in social science, natural science, and engineering. Finally, we delve into the evaluation strategies commonly used for LLM-based autonomous agents. Based on the previous studies, we also present several challenges and future directions in this field.","url":"https://doi.org/10.1007/s11704-024-40231-1","authors":["Lei Wang","Chen Ma","Xueyang Feng","Zeyu Zhang","Hao Yang","Jingsen Zhang","Zhiyuan Chen","Jiakai Tang","Xu Chen","Yankai Lin","Wayne Xin Zhao","Zhewei Wei","Ji-Rong Wen"],"tags":["Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-22","doi":"https://doi.org/10.1007/s11704-024-40231-1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7124437436","name":"A physics-informed intelligent digital twin using multi-task CNN–LSTM for acoustic emission-based fault prognostics in safety-critical systems","source":"openalex","abstract":"Purpose Pressure vessels are vital components in manufacturing and energy systems, where early detection of degradation is essential to prevent catastrophic failures. Conventional acoustic emission (AE)-based prognostic methods depend heavily on experimental testing and finite element simulations, which are costly and time-intensive. This study proposes a fully computational, artificial intelligence (AI)-driven digital twin framework capable of performing both health-state classification and remaining useful life (RUL) prediction using physics-inspired synthetic AE data. Design/methodology/approach A multi-task convolutional neural network–long short-term memory (CNN–LSTM) architecture was developed to extract spatio-temporal features from synthetically generated AE waveforms. The AE signals were produced through a parameterized, physics-informed model representing energy attenuation and frequency variation during progressive material degradation. CNN layers capture spectral energy features, while LSTM layers learn temporal evolution patterns associated with structural deterioration. The framework, implemented entirely in Python, enables an end-to-end digital twin without external simulation platforms. Model convergence, residual analysis and t-distributed stochastic neighbor embedding visualizations were used to assess robustness and interpretability. Findings The model achieved 99% classification accuracy and a low RUL prediction error (root mean square error ˜ 5), demonstrating strong predictive capability and stable convergence. Latent-space visualization revealed distinct health-state clusters, validating interpretable degradation learning across synthetic AE data. Originality/value This work presents one of the first physics-informed, Python-based digital twin frameworks for AE-driven prognostics of pressure vessels. It eliminates dependence on costly experiments or finite element simulations, offering a scalable, data-efficient approach suitable for Industry 4.0 applications.","url":"https://doi.org/10.1108/jimse-10-2025-0023","authors":["Aswin Karkadakattil"],"tags":["Prognostics","Robustness (evolution)","Residual","Computer science","Acoustic emission"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"https://doi.org/10.1108/jimse-10-2025-0023","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394894101","name":"The Metaverse: Innovations and generative AI","source":"openalex","abstract":"Today, the Metaverse consists of various platforms, including digital twins of the physical world as well as virtual and blended digital-material environments that offer immersive experiences for individual users. By going beyond solely physical or virtual realms, these platforms unlock new possibilities for exploration, experimentation, and interaction. This makes it possible to transcend the limitations of innovation processes confined to physical locations, so the Metaverse is thus poised to drive groundbreaking innovations. This article explores the Metaverse as an innovation platform, its opportunities and challenges, including the role of generative AI in it. It discusses how the Metaverse, as a collaboration, creativity, and technological platform, supports innovation potential. By embracing the possibilities and challenges offered by the Metaverse and leveraging the capabilities of generative AI within it, a future in which individuals can truly explore novel synergies between the physical and digital realms, thriving various kinds of innovations. It is crucial to achieve holistic sustainability impacts both within the Metaverse innovation platform and as its outputs.","url":"https://doi.org/10.1016/j.ijis.2024.04.004","authors":["Jussi S. Jauhiainen"],"tags":["Metaverse","Generative grammar","Thriving","Computer science","Creativity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-17","doi":"https://doi.org/10.1016/j.ijis.2024.04.004","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403444192","name":"Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems","source":"openalex","abstract":"Digital Twin (DT) technologies promise to remove cyber-physical barriers in systems and services and provide seamless management of distributed resources effectively. Ideally, full-fledged instantiations of DT offer bi-directional features for physical-virtual representations, tackling data governance, risk assessment, security and privacy protections, resilience, and performance, to name a few characteristics. More broadly, Federated Digital Twins (FDT) are distributed physical-virtual counterparts that collaborate for enacting synchronisation and accurate mapping of multiple DT instances. In this work we focus on understanding and conceptualising the cyber-physical and business perspectives using FDT in multinational and multimodal transportation systems. These settings enforce a plethora of regulations, compliance, standards in the physical counterpart that must be carefully considered in the virtual mirroring. Our aim is to discuss the regulatory and technical underpinnings and, consequently, the existing operational and budgetary overheads to factor in when designing or operating FDT.","url":"https://doi.org/10.48550/arxiv.2410.08479","authors":["Ricardo M. Czekster","Alexeis García-Pérez","Manolya Kavakli","Seif Allah El Mesloul Nasri","Siraj Ahmed Shaikh"],"tags":["Multinational corporation","Business","Cyber-physical system","Computer security","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-11","doi":"https://doi.org/10.48550/arxiv.2410.08479","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4409804912","name":"From Digital to Real: Optimised and Functionally Integrated Shotcrete 3D Printing Elements for Multi-Storey Structures","source":"openalex","abstract":"The construction industry is facing a dual challenge: an increasing demand for new buildings on the one hand and the urgent need to drastically reduce emissions and waste on the other. One promising field of research to face these challenges comprises additive manufacturing (AM) technologies. Through these advanced methods, digital workflows between design and fabrication can be implemented to optimise the form and structure, unlocking new architectural freedom while ensuring sustainability and efficiency. However, to drive this transformation in construction, the new technologies must be investigated in large-scale applications. One of these fast-emerging AM techniques is Shotcrete 3D Printing (SC3DP). The present research documents the 1:1 scale manufacturing process, from digital to real, of a building section utilising SC3DP. A workflow and production steps, spanning from design over manufacturing to assembly, are introduced. The architectural design, reinforced by computational methods, was iteratively refined to adapt to manufacturing constraints. The paper also emphasises the importance of a digital twin in ensuring seamless data integration and real-time adjustments during construction. By incorporating reinforcement techniques such as short rebar insertion and robotic fibre winding, this study demonstrates the structural capabilities achievable with SC3DP. In summary, the implementation of comprehensive digital workflows utilising computational design, automated data acquisition and data flow, as well as robotic fabrication is presented to demonstrate the potential of AM methods in construction. Furthermore, this paper provides a perspective on potential future research paths and opportunities inherent in leveraging the innovative SC3DP technique.","url":"https://doi.org/10.3390/buildings15091461","authors":["Robin Dörrie","Stefan Gantner","Fatemeh Salehi Amiri","Lukas Lachmayer","Martin David","Tom Rothe","Niklas Freund","Ahmad Saleem Nouman","Karam Mawas","Oguz Oztoprak","Philipp Rennen","Virama Ekanayaka","André Hürkamp","Stefan Kollmannsberger","Christian Hühne","Annika Raatz","Klaus Dröder","Dirk Lowke","Norman Hack","Harald Kloft"],"tags":["Shotcrete","Structural engineering","Engineering","Materials science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-25","doi":"https://doi.org/10.3390/buildings15091461","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4409151057","name":"The role of cybersecurity as a preventive measure in digital tourism and travel: a systematic literature review","source":"openalex","abstract":"Abstract The purpose of this study is to show the growing concern about cybersecurity in tourism and travel research from 2000 to August 7, 2024. The methodology used in this research adopted a systematic literature review approach based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and using the Web of Science (WoS) database, as well as implement the VOSviewer software to map and show the most important themes related to cybersecurity, tourism, and travel keywords selected in this research. Findings of the current study show a growing interest in the cybersecurity topic and its relationship with tourism and travel disciplines by researchers, particularly from the beginning of COVID-19 to the present. Indeed, the growth of ‘cybersecurity’ and ‘tourism’ publications and citations the average annual up by 18% and 129%, respectively, from 2020 to 2023. While ‘cybersecurity’ and ‘travel’ publications and citations grew by 8% and 80%, respectively. Another important finding was that keyword analysis revealed the most occurring words mainly were cybersecurity; impact; AI; security; management; and tourism in the case of cybersecurity and tourism searches. Whereas for cybersecurity in travel searches were adoption; attacks; challenges; consumer; cyberattacks; hotels; management; OTAs; security; smart cities; tourism industry, among others. These findings show that studies carried out so far are tackling cybersecurity’s consequences and impact on travel and tourism activities in cities, companies, and consumers. Tourism and travel companies need to focus on prevention, not only detection and response to cyberattacks. This study is so important to know about cybersecurity as a prevention and protection tool in the tourism and travel industries because cyberattacks and cyberthreats to tourist destinations need to be taken seriously.","url":"https://doi.org/10.1007/s10791-025-09523-3","authors":["Lázaro Florido‐Benítez"],"tags":["Measure (data warehouse)","Computer security","Tourism","Business","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-03","doi":"https://doi.org/10.1007/s10791-025-09523-3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4407845736","name":"Digital Wings: The Effect of Digital Technology Adoption on Market Power","source":"openalex","abstract":"ABSTRACT This paper evaluates the causal impact of digital technology adoption (DTA) on firms' market power using data from Chinese listed manufacturing companies. Employing staggered difference‐in‐differences strategies, we find compelling evidence that DTA has a significant and substantial positive impact on market power. We also find supportive evidence for several underlying channels through which this impact occurs: improved research and development intensity, the upgrading of human capital structure, enhanced manufacturing servitization, and increased external attention. Furthermore, we establish an inverted U‐shaped relationship between the share of DTA firms and resource misallocation within the industry‐province dimension. This study contributes to the existing literature on the digitalization paradox by extending the investigation of the market performance of digital transformation to the context of developing countries.","url":"https://doi.org/10.1111/jems.12630","authors":["Haodan Tang","Gang Xu"],"tags":["Business","Market power","Power (physics)","Telecommunications","Commerce"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-21","doi":"https://doi.org/10.1111/jems.12630","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4391361874","name":"Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review","source":"openalex","abstract":"In this review, utilizing the PRISMA methodology, a comprehensive analysis of the use of Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview of the impact of GAI on enhancing institutional performance and work productivity, with a specific focus on sectors including academia, research, technology, communications, agriculture, government, and business. It highlights the critical role of GAI in navigating AI challenges, ethical considerations, and the importance of analytical thinking in these domains. The research conducts a detailed content analysis, uncovering significant trends and gaps in current GAI applications and projecting future prospects. A key aspect of this study is the bibliometric analysis, which identifies dominant tools like Chatbots and Conversational Agents, notably ChatGPT, as central to GAI’s evolution. The findings indicate a robust and accelerating trend in GAI research, expected to continue through 2024 and beyond. Additionally, this study points to potential future research directions, emphasizing the need for improved GAI design and strategic long-term planning, particularly in assessing its impact on user experience across various professional fields.","url":"https://doi.org/10.3390/su16031166","authors":["Humaid Al Naqbi","Zied Bahroun","Vian Ahmed"],"tags":["Generative grammar","Productivity","Work (physics)","Work productivity","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-30","doi":"https://doi.org/10.3390/su16031166","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4407221949","name":"The Digital Revolution in the Bakery Sector: Innovations, Challenges, and Opportunities from Industry 4.0","source":"openalex","abstract":"Industry 4.0 and digitalization are driving a major transformation in the bakery sector. This systematic review examines the latest advancements in digital technologies and platforms within the bakery industry. Innovations such as robotics, automation, blockchain, and wireless sensor networks are currently revolutionizing bakery operations by enhancing production efficiency, enabling real-time monitoring, and ensuring product traceability. Additionally, digital platforms are improving customer interactions through e-commerce, personalized product offerings, and targeted marketing strategies. Digitalization is also contributing to waste reduction, quality control improvement, and data-driven decision-making, leading to optimized inventory management and more efficient production automation. These advancements are fostering stronger customer engagement, resulting in cost savings and increased profitability. However, the sector faces several challenges, including resistance from companies to adopt new technologies, high implementation costs, a shortage of expertise, and concerns about preserving artisanal quality. This review provides valuable insights for researchers, businesses, and industry experts to deepen their understanding of how digitalization is shaping the future of the bakery sector while highlighting emerging opportunities, challenges, and avenues for future research.","url":"https://doi.org/10.3390/foods14030526","authors":["Tsega Y. Melesse","Pier Francesco Orrù"],"tags":["Product (mathematics)","Traceability","Business","Quality (philosophy)","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-06","doi":"https://doi.org/10.3390/foods14030526","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403032123","name":"FORMATION OF THE SUBJECT COMPETENCES OF THE STUDENTS OF THE SCIENCE, MATHEMATICS AND DIGITAL FIELDS BY MEANS OF DIGITAL TWINS","source":"openalex","abstract":"У статті розглядається проблема формування предметних компетентностей у студентів природничо-математичної та цифрової галузей за допомогою засобів цифрових двійників (Digital Twins). Невпинний розвиток науково-технічного прогресу, обумовлений прискореним упровадженням досягнень наукових досліджень у всі сфери життя, скороченням часу між науковими відкриттями та їхнім упровадженням, характеризується сучасною промисловою революцією 4.0. Ця революція передбачає інтеграцію автоматизації в усі сфери виробництва, ефективний технологічний устрій, збір, обмін, збереження й передавання даних в єдину саморегульовану систему з мінімізацією ручної праці та втручанням людини у зазначені процеси. Впровадження цифрових технологій вимагає скорочення витрат на збір даних, їх аналіз та моделювання реальних об’єктів для прийняття ефективних рішень у реальному часі. Таку роль значною мірою виконують цифрові двійники. Цифрові двійники дозволяють створювати точні віртуальні копії реальних об’єктів, що сприяє оптимізації різних процесів у промисловості, аграрному секторі, транспорті, торгівлі, освіті та побуті. Вони забезпечують можливість постійного моніторингу, аналізу та вдосконалення реальних систем, знижуючи ризики та витрати на експерименти в реальних умовах. Використання цифрових двійників стає все більш актуальним у контексті розвитку технологій Інтернету речей (IoT), штучного інтелекту, хмарних обчислень та великих даних. У статті аналізується значущість цифрових двійників для формування новітніх компетентностей у студентів природничо-математичної та цифрової галузей. Автори підкреслюють, що сучасна освітня система повинна адаптуватися до вимог ринку праці, забезпечуючи студентів навичками, необхідними для ефективного використання цифрових двійників у професійній діяльності. Пропонується інтеграція технологій цифрових двійників у навчальні програми технічних спеціальностей, що включає як теоретичне вивчення концепцій і принципів роботи цифрових двійників, так і практичні заняття з використанням відповідного програмного забезпечення та обладнання. Впровадження таких програм дозволить підготувати висококваліфікованих фахівців, здатних до інноваційної діяльності в умовах цифрової економіки. Навчання з використанням цифрових двійників сприятиме розвитку критичного мислення, навичок аналізу та прийняття рішень, а також підвищенню адаптивності до швидких змін технологічного середовища. Відповідно, у статті робиться висновок про необхідність реформування освітніх програм для забезпечення підготовки спеціалістів, які володіють компетентностями в галузі цифрових двійників, що є ключовим фактором успіху в сучасному світі цифрових технологій.","url":"https://doi.org/10.36550/2415-7988-2024-1-215-91-96","authors":["Mykola Sadovyі","Олена Михайлівна Трифонова","Дмитро Вікторович Соменко"],"tags":["Subject (documents)","Mathematics education","Computer science","Mathematics","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-01","doi":"https://doi.org/10.36550/2415-7988-2024-1-215-91-96","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7106504365","name":"A sustainability-oriented KPI framework for digital twin adoption in the sugar industry: ISM–MICMAC approach","source":"openalex","abstract":"Purpose The sugar industry is always pressured to be suitable and enhance its operational effectiveness. Digital twin (DT) has the potential to transform this industry. However, the lack of industry-specific key performance indicator (KPI) frameworks makes it challenging to implement them. This study provides a hierarchical KPI model for DT adoption in the sugar sector, interconnecting the United Nations' sustainable development goals (SDGs). Design/methodology/approach It has two phases: the first is an intense literature review, which identifies 24 relevant KPIs for DT adoption and sets the procedure for expert validation. Second, hierarchical relationships were identified through interpretive structural modeling (ISM) and MICMAC was used to classify KPIs based on driving and reliant power. The developed framework has several dimensions: technology, environmental, strategic, operational, financial and security. Findings Operational and environmental KPIs relate to important factors; however, environmental, social and governance (ESG) tracking, stakeholder satisfaction, governance, social and environmental factors, and reduction of defects were also critical outcomes. Key drivers came after technological studies, such as integrating old legacy systems, data integration and return on investment, or digital investment. The KPI hierarchy establishes the structural relationship that ensures DT investments align with sustainability goals, including cutting carbon emissions, maximizing resource usage and reducing water consumption. Research limitations/implications Likewise, earlier studies, the existing paper is also not free from limitations. We consulted experts from emerging economies like India to develop ISM modeling and collect data. However, the experts' opinions may change from country to country, impacting results. Also, the proposed research is applicable in the sugar sector. Originality/value Developing the DT adoption KPIs in the sugar sector using ISM and MICMAC is a unique contribution of this research. In addition, all KPI frameworks are also interconnected with the United Nations sustainability goals.","url":"https://doi.org/10.1108/jadee-08-2025-0392","authors":["Satish Chandra Pandey","Naveen Virmani","Dimple Bhandari","Sandeep Jagtap"],"tags":["Performance indicator","Sustainability","Process management","Stakeholder","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-25","doi":"https://doi.org/10.1108/jadee-08-2025-0392","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415025434","name":"Digital health technologies to transform women’s health innovation and inclusive research","source":"openalex","abstract":"Bola Grace and colleagues argue that using digital health technologies ethically can increase the scope and scale of research and connect systems to improve women’s health","url":"https://doi.org/10.1136/bmj-2025-085682","authors":["Bola Grace","Lauren A. Wise","Marzena Nieroda","Jennifer Egbunike","Nafisat Ohunene Usman"],"tags":["Scope (computer science)","Digital health","Scale (ratio)","Knowledge management","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-10","doi":"https://doi.org/10.1136/bmj-2025-085682","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4401852468","name":"Aligning Digital Educational Policies with the New Realities of Schooling","source":"openalex","abstract":"Abstract To make sense of the changes provoked by the Covid-19 pandemic and its immediate aftermath, this paper critically examines digital education policy responses in the context of the ‘new realities’ faced by schooling. Based on seven case studies contributed by authors from Australia, India, Ireland, Italy, Japan, Canada, Sri Lanka, two key questions are addressed: (1) What are the ‘new realities’ of schooling post Covid-19? and (2) How have digital educational policies changed in response to the new realities of schooling? Findings highlight the complexity of the problem of aligning digital education policies at the macro level to the realities experienced at the meso and micro levels of schooling systems. The paper concludes with discussion of the need for, and challenges of, agile policy making at all levels (macro, meso and micro) that are necessary for schooling systems to meet the challenges and realities of a complex changing world.","url":"https://doi.org/10.1007/s10758-024-09776-9","authors":["Deirdre Butler","Margaret Leahy","Amina Charania","Peiris Meda Gedara","Therese Keane","Thérèse Laferrière","Kohei Nakamura","Hiroshi Ueda","Stefania Bocconi"],"tags":["Context (archaeology)","Agile software development","Economic growth","Political science","Macro"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-24","doi":"https://doi.org/10.1007/s10758-024-09776-9","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7134940461","name":"Mapping Urban Digital Twins Across Regions: An Exploratory Study of Maturity, Implementation Status, and Authority","source":"openalex","abstract":"An increasing number of municipalities are adopting urban digital twins (UDTs) to improve urban management. Although the models differ widely, municipalities face similar challenges in their implementation. Therefore, sharing insights on UDTs provides an opportunity for collective growth. To facilitate this growth, the present exploratory study maps the characteristics, challenges, and potentials of 99 UDTs in Europe, North America, and Asia. We first estimate the UDT readiness based on established features, along with contextual and local authority involvement indicators. Next, we conduct semi-structured interviews with key individuals from eight selected cities to contextualize the review findings. The mapping results indicate that most UDTs in our sample operate at the municipal level, and that over half (57%) are not in series operation. The reviewed UDTs are mid-level in maturity, and local authority involvement is a key driver of scalability. We infer that UDT progress depends as much on common frameworks, organizational readiness, governance capacity, and relevant data as on technology. Collaborations with private companies and researchers can play a central role in the long-term sustainment and growth of UDT infrastructures.","url":"https://doi.org/10.3390/smartcities9030049","authors":["Jasmin Hiller","Mohamed Mansour","Noemi Kremer","David Crampen","Sascha von Behren"],"tags":["Exploratory research","Key (lock)","Corporate governance","Sample (material)","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.3390/smartcities9030049","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4401380169","name":"2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)","source":"openalex","abstract":"The emergence of BIM-assisted building digital twins is facilitating building digitalization efforts across various domains. These digital twins necessitate the creation of building energy models (BEM) derived from BIM data. These models are crucial for conducting building simulations, which in turn evaluate the thermal performance of buildings. To address this need, this study presents a semi-automated workflow for converting BIM data into BEMs. Specifically, the workflow utilizes IFC BIMs generated from point cloud data obtained through building scans. Manual intervention in this workflow is minimal, primarily focusing on detecting and correcting errors in BIM geometry resulting from the semi-automatic conversion of point cloud data to BIM format. The process is applied to an existing office building","url":"https://doi.org/10.1109/metrolivenv60384.2024","authors":["Hasan, Sayegh","Georgios N, Lilis","Mathias, Bouquerel","Thierry, Duforestel","Kyriakos, Katsigarakis","Dimitrios, Rovas"],"tags":["Metrology","Computer science","Systems engineering","Engineering","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/metrolivenv60384.2024","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4414239176","name":"Policy-Driven Digital Health Interventions for Health Promotion and Disease Prevention: A Systematic Review of Clinical and Environmental Outcomes","source":"openalex","abstract":"Objectives: This systematic review investigates clinical and environmental outcomes associated with policy-driven digital health interventions for health promotion and disease prevention. Methods: Following PRISMA 2020 guidelines, six databases (Scopus, Web of Science, PubMed, IEEE Xplore, ScienceDirect, and MDPI) were systematically searched for empirical studies published between January 2020 and June 2025, using keywords including “digital health,” “telemedicine,” “mHealth,” “wearable,” “AI,” “environmental impact,” and “sustainability.” From 1038 unique records screened, 68 peer-reviewed studies met inclusion criteria and underwent qualitative thematic synthesis. Results: Results show digital health interventions such as telemedicine, mobile health (mHealth) apps, wearable devices, and artificial intelligence (AI) platforms improve healthcare accessibility, chronic disease management, patient adherence, and clinical efficiency. Environmentally, these interventions significantly reduce carbon emissions, hospital energy consumption, and medical waste. Conclusion: The studies lacked standardized environmental metrics and predominantly originated from high-income regions. Future research should prioritize the development of uniform sustainability indicators, broaden geographic representation, and integrate rigorous life-cycle assessments. Policymakers are encouraged to embed environmental considerations into digital health strategies to support resilient, sustainable healthcare systems globally.","url":"https://doi.org/10.3390/healthcare13182319","authors":["Muhammad Faizan","Chaeyoon Han","Seung Won Lee"],"tags":["Digital health","Psychological intervention","Health promotion","Medicine","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-16","doi":"https://doi.org/10.3390/healthcare13182319","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W7116104720","name":"Digital twins in computational medicine with a specific focus on nuclear oncology. Where do we stand?","source":"openalex","abstract":"In medicine, digital twins (DTs) serve as computational models that replicate biological and physiological characteristics of a specific individual — whether a patient, an organ, or even a single cell — and simulate virtual biomedical experiments. DT-based simulations hold the potential to identify the most beneficial intervention at any given moment. A range of technological approaches has been explored across various medical fields, with oncology being one of the most suitable areas of application in view of the necessity of timely and personalized treatment decisions. Medical imaging, and especially nuclear medicine, might have a central role in the development of DTs. In this review we define digital twins, examine current evidence, and discuss opportunities that digital twins can offer in computational nuclear oncology. We also briefly summarize the state-of-the-art of DTs in other fields.","url":"https://doi.org/10.1016/j.eanmi.2025.100022","authors":["Lara Cavinato","Martina Sollini","Laszlo Papp","Kuangyu Shi","Dimitris Visvikis","Arturo Chiti","Margarita Kirienko"],"tags":["Computational model","Computer science","Focus (optics)","Data science","Intervention (counseling)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-19","doi":"https://doi.org/10.1016/j.eanmi.2025.100022","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4308342511","name":"A review of challenges and framework development for corrosion fatigue life assessment of monopile-supported horizontal-axis offshore wind turbines","source":"openalex","abstract":"Digital tools such as machine learning and the digital twins are emerging in asset management of offshore wind structures to address their structural integrity and cost challenges due to manual inspections and remote sites of offshore wind farms. The corrosive offshore environments and salt-water effects further increase the risk of fatigue failures in offshore wind turbines. This paper presents a review of corrosion fatigue research in horizontal-axis offshore wind turbines (HAOWT) support structures, including the current trends in using digital tools that address the current state of asset integrity monitoring. Based on the conducted review, it has been found that digital twins incorporating finite element analysis, material characterisation and modelling, machine learning using artificial neural networks, data analytics, and internet of things (IoT) using smart sensor technologies, can be enablers for tackling the challenges in corrosion fatigue (CF) assessment of offshore wind turbines in shallow and deep waters.","url":"https://doi.org/10.1080/17445302.2022.2140531","authors":["Victor Okenyi","Mahdi Bodaghi","Neil J. Mansfield","Shukri Afazov","Petros Siegkas"],"tags":["Offshore wind power","Submarine pipeline","Marine engineering","Corrosion monitoring","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-04","doi":"https://doi.org/10.1080/17445302.2022.2140531","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7161681803","name":"Power Hardware-in-the-Loop validation of digital twin-enabled dynamic analysis and assessment of distribution networks","source":"openalex","abstract":"The development of accurate equivalent models of distribution networks (DNs) is of primary significance for power system dynamic analysis and control applications. Advances in measurement infrastructure and information and communication technologies have enabled the development of data-driven DN simulation models and digital twins. Despite the numerous modeling approaches proposed, their majority have not been tested under real-world conditions, leading to poor assessment of their efficacy in representing DN dynamics. This study aims to derive and validate reduced-order DN equivalent models that serve as digital counterparts of physical components connected to the network across discrete operating scenarios. Real-time simulations are performed using a Power Hardware-in-the-Loop experimental framework. Within this framework, the model structure selection and the accuracy of the developed digital replicas are evaluated under close to real-world conditions. The results demonstrate the effectiveness of the developed models and their applicability for dynamic simulations, offering a practical alternative without compromising accuracy.","url":"https://doi.org/10.1016/j.epsr.2026.113311","authors":["Georgios A. Barzegkar‐Ntovom","Eleftherios O. Kontis","Theofilos A. Papadopoulos","Zhiwang Feng","Graeme Burt"],"tags":["Computer science","Power (physics)","Distribution (mathematics)","Electronic engineering","Electric power system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-19","doi":"https://doi.org/10.1016/j.epsr.2026.113311","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7154227605","name":"A hybrid self-evolving edge-AI framework for scalable digital process twins in enterprise systems","source":"openalex","abstract":"Edge-centric digital process twins struggle with slow adaptation and real-time compliance. We propose a self-evolving Edge-AI architecture with five components. The Hierarchical Neuro-Symbolic Verification Graph integrates symbolic rules and neural graphs, reducing latency by 35% while maintaining over 97% compliance. Federated Evolutionary Drift Adaptation improves drift response by 28% and F1 score by 15% using evolutionary operators. The Multi-Resolution Spatio-Temporal Causal Inference Network enables 40% earlier fault detection via causal separation. The Quantum-Inspired Edge Reinforcement Optimiser speeds convergence by 30% and boosts effectiveness by 12%. The Cross-Layer Digital Twin Consistency Ledger ensures tamper-proof state integrity with <0.5% violations at 10k+ transactions/s, enabling secure, adaptive automation.","url":"https://doi.org/10.1080/17517575.2026.2653241","authors":["P. Naresh","Tanvir Habib Sardar","Bharti Ramityal","Ahlam Almusharraf","Mahesh T R","Vipul Jain"],"tags":["Computer science","Enterprise information system","Scalability","Process (computing)","Enterprise integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-14","doi":"https://doi.org/10.1080/17517575.2026.2653241","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412178154","name":"Digital infrastructure construction and the development of new-quality productive forces in enterprises","source":"openalex","abstract":"Digital infrastructure is the foundation for the development of digital technologies, providing the necessary production materials for the development of the digital economy and new types of productivity. This study aims to explore the impact of digital infrastructure construction on the new types of productivity of enterprises. Using the \"Broadband China\" demonstration cities as a quasi-natural experiment, empirical analysis is conducted based on data from A-share listed companies between 2011 and 2023, employing a difference-in-differences approach with multiple time points. The study finds that the \"Broadband China\" demonstration city pilot significantly promoted the improvement of enterprise new-type productivity, and this conclusion remains robust after several tests. Further analysis of the mechanism reveals that digital infrastructure promotes the development of new-type productivity by accelerating the smart transformation of enterprises, enhancing their level of informatization, and boosting innovation capabilities. Heterogeneity analysis shows that the policy has a more significant effect on improving the new-type productivity of enterprises in sub-provincial cities, private enterprises, and growth-stage enterprises. This research not only provides empirical evidence for the empowerment of enterprise new-type productivity development through digital infrastructure but also enriches the research on how macro policies influence micro-level enterprises. Furthermore, it provides theoretical references and practical guidance for the development of the digital economy and the acceleration of digital technology advancements in other Chinese cities and many developing countries.","url":"https://doi.org/10.1038/s41598-025-09897-w","authors":["Zhixiong Yang","Jishun Zhang"],"tags":["Quality (philosophy)","Business","Industrial organization","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.1038/s41598-025-09897-w","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394584885","name":"Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-57931-8_9","authors":["Tamás Kiss","Amjad Ullah","Gábor Terstyánszky","Odej Kao","Sören Becker","Yiannis Verginadis","Antonis Michalas","Vlado Stankovski","Attila Kertész","Elisa Ricci","Jörn Altmann","Bernhard Egger","Francesco Tusa","József Kovács","Róbert Lovas"],"tags":["Cloud computing","Enhanced Data Rates for GSM Evolution","Computer science","Political science","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-57931-8_9","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4405709608","name":"A Template for Digital Human Representation in Digital Twin Simulations of Social Human-Robot Interaction","source":"openalex","abstract":"The virtual validation of a robot's social capability using digital twins requires assessing the perceived quality of human-machine interaction, reflected through various observ-able human parameters that influence the comfort experienced during the interaction. Due to this reason, the detailed digital representation of humans in such simulations is as essential as it is difficult to achieve. This paper introduces a template for digital human representation in a digital twin intended for simulation scenarios of social human-robot interaction. Parameters and properties are grouped into categories for physical behavior, physiological condition (including health), social-cognitive behav-ior, visualization, and sensory capabilities describing a simplified digital representation of a real-world person. The proposed model parameters are chosen based on a literature review of published work regarding digital twin solutions for applications in social robotics with a focus on human digital representation.","url":"https://doi.org/10.1109/iceccme62383.2024.10796060","authors":["Raoul Zebisch","Johannes Schilp"],"tags":["Computer science","Human–robot interaction","Representation (politics)","Robot","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-04","doi":"https://doi.org/10.1109/iceccme62383.2024.10796060","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"oa:W4413193177","name":"Resilient Supply Chains under Tariff Volatility: A Digital Twin-Enabled FLEX Model for Strategic Sourcing and Risk Mitigation","source":"openalex","abstract":"In the current uncertain global trade climate, supply chains endure greater pressures from volatile tariff regimes and changing geopolitics. Traditional risk-reducing and sourcing strategies prove inadequate in coping with such dynamic disruptions, especially when relying on foreign suppliers. This paper presents an innovative FLEX supply chain model—Flexible sourcing, Localized manufacturing, Elastic contracts, and Extra inventory buffers—that is intended to create increased resilience, agility, and profitability in the environment of tariff uncertainty. The model is then enhanced with the incorporation of Digital Twin (DT) technologies for real-time simulation, predictive analytics, and scenario planning. Based on cross-disciplinary literature in supply chain risk management, contract theory, and digital technologies, the research formulates a conceptual model and tests it in simulation-based case scenarios of on-again/off-again tariff events. The findings show that the FLEX+DT model is far better compared to conventional methods in terms of minimizing lead time variability, minimizing cost shocks, and maintaining operational continuity in global supply networks. Through the dynamic redistribution of resources, policy simulation, and contingency planning, the model provides a strategic toolkit for decision-makers managing tariff-induced disruptions. The work presents two key contributions: (1) it formalizes an end-to-end, modular supply chain design for tariff volatility, and (2) it takes Digital Twins from operational optimization to macro-level mitigation of trade risk. The results provide actionable insights to supply chain executives, policymakers, and global manufacturers in developing resilient, future-ready operations. The model can be taken forward in empirical industrial environments and synergistic links with AI-driven procurement systems and blockchain-secured smart contracts in future work.","url":"https://doi.org/10.32996/jbms.2025.7.4.16","authors":["Akash Abaji Kadam"],"tags":["FLEX","Volatility (finance)","Supply chain","Business","Tariff"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-07","doi":"https://doi.org/10.32996/jbms.2025.7.4.16","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7133231232","name":"Modelling vat photopolymerization: a comprehensive review and perspectives on digital twinning and advancing multi-wavelength processes","source":"openalex","abstract":"Vat photopolymerization (VPP) is a high-precision additive manufacturing technology that selectively cures photosensitive resins to create complex 3D structures. The emergence of multi-wavelength VPP – enabling capabilities such as wavelength-selective multi-material printing and photo-inhibition-aided processes – introduces new challenges in modelling and process control. Conventional single-wavelength models often fail to capture the coupled optical, thermal, chemical, and mechanical phenomena underlying material interactions and dynamic process behaviours, limiting predictive accuracy and optimisation. This review critically evaluates the state of VPP modelling, encompassing physics-based and data-driven approaches, and highlights their strengths, limitations, and challenges for both single- and multi-wavelength systems. Building on this analysis, an AI-driven digital twin framework is proposed, that integrates multiscale, multi-physics simulations with in-situ sensor data and machine learning–based surrogate models. This approach enables real-time monitoring, prediction, and adaptive control, improving process efficiency, material utilisation, and print quality. It also provides a pathway for designing and testing sustainable, multi-functional materials tailored for next-generation VPP systems. By combining high-fidelity simulations with adaptive AI, this work establishes a roadmap for intelligent, scalable, and sustainable VPP technologies, supporting high-resolution, multi-material, and multifunctional additive manufacturing across diverse industrial applications.HighlightsReview evaluates modelling methods for single- and multi-wavelength VPP.Framework integrates optical, thermal, kinetic and mechanical multi-physics models.AI-driven digital twin enables adaptive, real-time monitoring and process control.Hierarchical modelling links physics-based simulations with data-driven learning.Roadmap advances intelligent, sustainable, and multi-material VPP technologies.","url":"https://doi.org/10.1080/17452759.2026.2632491","authors":["Xiayun Zhao","Yousra Bensouda","Md. Jahangir Alam","Yiquan Wang","Heyang Zhang","Yue Zhang","Haolin Zhang","David William Rosen"],"tags":["Process (computing)","Digital manufacturing","Limiting","Process modeling","Work in process"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.1080/17452759.2026.2632491","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409755201","name":"THE BENEFITS OF A DIGITAL TWIN IN SUPPORT OF COMPLEX LONG-TERM OPERATIONS","source":"openalex","abstract":"The LongOps programme (2019-2024) unites three end users with similar multi-decadal challenges: TEPCO has the challenge of decommissioning the Fukushima Daiichi reactors and especially reaching into the reactor pressure containment vessels to retrieve fuel debris; the UK Nuclear Decommissioning Authority has a complex multi-building decommissioning liability estimated to be £178B over more than 100 years; and, the UK Atomic Energy Authority started in 2024 to conduct first of a kind decommissioning of the JET fusion reactor at Culham aiming to complete by 2040 using long reach booms to access the reactor pressure vessel.","url":"https://doi.org/10.1299/jsmefdr.2024.0_1131","authors":["Rob Buckingham"],"tags":["Term (time)","Computer science","Business","Physics","Quantum mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1299/jsmefdr.2024.0_1131","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7125945291","name":"From digital tools to sustainable change: How change agents enable the twin transition in hospitality","source":"openalex","abstract":"This study explores how change agents drive sustainable service change in hospitality networks through engagement in the twin transition—combining digitalization and sustainability. Using a multi-level sensemaking framework (extraorganizational, intraorganizational, intraindividual), we analyze the role of a local hoteliers’ association promoting a business intelligence solution (BIS) to support this transition. Drawing on a case study of 43 hotels in northeastern Italy, supplemented by a simulation study, we examine how twin transition engagement mediates the effects of social capital, category-based sensemaking, and stewardship on sustainable service change. Findings show that structural and cognitive social capital influence sustainability directly, but not twin transition engagement, underscoring the critical role of the change agent. Category-based sensemaking is fully mediated, while stewardship affects sustainability but not digital adoption. The study contributes to hospitality research by linking sensemaking and stewardship to digital–sustainability innovation, and highlights simulation as a useful method to validate findings in data-constrained environments.","url":"https://doi.org/10.1016/j.ijhm.2026.104591","authors":["Giuseppe Cappiello","Debora Casoli","Annamaria Tuan","Marco Visentin"],"tags":["Sensemaking","Hospitality","Stewardship (theology)","Sustainability","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.1016/j.ijhm.2026.104591","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4404660082","name":"The International Journal of Educational Technology in Higher Education: content and authorship analysis 2010–2024","source":"openalex","abstract":"Abstract In celebrating the 20th anniversary of the International Journal of Educational Technology in Higher Education (IJETHE), previously known as the Revista de Universidad y Sociedad del Conocimiento (RUSC), it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the journal, in order to understand how IJETHE has contributed to furthering scholarship, and to provide future directions to the field. It is particularly important to understand authorship patterns in terms of equity and diversity, especially in regard to ensuring wide-ranging geographical and gender representation in academic publishing. To this end, a content and authorship analysis was conducted of 631 articles, published in RUSC and IJETHE from 2010 to June 2024. Furthermore, in order to contribute to ongoing efforts to raise methodological standards of secondary research being conducted within the field, an analysis of the quality of evidence syntheses published in IJETHE from 2018 to June 2024 was conducted. Common themes in IJETHE have been students’ experience and engagement in online learning, the role of assessment and feedback, teachers’ digital competencies, and the development and quality of open educational practices and resources. The authorship analysis revealed gender parity and an increasingly international identity, although contributions from the Middle East, South America and Africa remain underrepresented. The findings revealed a critical need for enhanced efforts to raise the methodological rigour of EdTech evidence syntheses, and suggestions are provided for how IJETHE can help move the field forwards. Key future research areas include educator professional development, the impact of digital tools on learning outcomes and engagement, the influence of social and contextual factors, the application of AI tools to support learning, and the use of multimodal data to analyse student learning across diverse contexts.","url":"https://doi.org/10.1186/s41239-024-00492-z","authors":["Melissa Bond"],"tags":["Content analysis","Higher education","Educational technology","Political science","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-24","doi":"https://doi.org/10.1186/s41239-024-00492-z","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4404109742","name":"Digital transformation of the global economy: challenges and opportunities","source":"openalex","abstract":"The world is going through a revolution, the emergence of digital and its impact on our planet. By Christine Moorman Researchers examine the challenges and opportunities of how to digitize a tradition-bound, offline industry. The research highlights key factors propelling this transition; ranging from technological and legal advances to societal impacts. Other subjects covered in the study include potential cyber threats and data privacy risks as well as what digitalization means for different industries, from manufacturing to services and finance. These findings suggest that while digital transformation promises significant opportunities for innovation and economic growth, it also requires comprehensive policy approaches to reduce associated risks and ensure inclusive development. The aim of this article is to investigate the challenges and opportunities posed by the transition in global economy from analogical towards digital. The global economy is undergoing a radical transformation thanks to digital technologies. These tectonic shifts kindle an array of opportunities and challenges that we discuss in this article. Highlighting key factors behind this transformation — technology, legal frameworks and socioeconomic considerations — the study takes a deep dive into how blockchain can allow farmers to capture premium prices while ensuring traceability of genuine produce. The research looks at the potential dangers linked to cybersecurity and privacy, while it also studies how digitilization impacts sectors including manufacturing, services and finance. The findings show that while digital transformation provides considerable opportunities for innovation and economic growth, it also requires comprehensive strategies to mitigate associated risks and ensure inclusive development. This article is written as to observe the titled paradigm shift of global economy with Digitalisation, and changes it brings about in form of opportunities & challenges. The findings show that digital transformation is a two-edged sword: it provides significant opportunities for economic growth, innovation, and the creation of new business models like digital platforms and the gig economy. However, it presents significant challenges, particularly in terms of cybersecurity and data privacy. The increasing frequency and sophistication of cyberattacks pose serious threats to businesses and governments, while concerns over data privacy necessitate the development of strong regulatory frameworks.","url":"https://doi.org/10.26565/2786-4995-2024-3-08","authors":["Olesia Suntsova"],"tags":["Transformation (genetics)","Digital economy","Digital transformation","Economic system","Economic geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-30","doi":"https://doi.org/10.26565/2786-4995-2024-3-08","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4413153278","name":"Digital Twins and AI in Infrastructure Engineering: A Global Review of Risk-Informed Design, Operations, and Maintenance","source":"openalex","abstract":"As global infrastructure systems become increasingly complex and vulnerable, the integration of Digital Twins (DT) and Artificial Intelligence (AI) has emerged as a transformative strategy for risk-informed design, operations, and maintenance. However, a significant research gap remains in understanding the global patterns, integration challenges, and practical impact of DT-AI systems across different infrastructure sectors. This systematic review, guided by the PRISMA framework, synthesizes findings from 126 peer-reviewed studies sourced from Scopus, Web of Science, and IEEE Xplore. Analysis revealed that 68% of implementations focus on predictive maintenance and real-time monitoring, while only 12% address early-stage design optimization highlighting an imbalance in lifecycle focus. Furthermore, projects that applied AI-enhanced DTs achieved up to 30% reduction in unplanned maintenance events and improved infrastructure lifespan predictions by an average of 22%. Case studies from Singapore, the UK, Norway, and the US demonstrate real-world benefits in city planning, structural health monitoring, and transportation. Despite these successes, key barriers persist, including data interoperability, cybersecurity vulnerabilities, high implementation costs, and insufficient regulatory standards. This review underscores the need for cross-sectoral collaboration, global policy frameworks, and inclusive innovation strategies to fully leverage DT-AI capabilities in building resilient, adaptive infrastructure.","url":"https://doi.org/10.69739/sjet.v2i2.808","authors":["Emmanuel Ogunleye","Kingsley Anyaene","Jeremiah Oluwayomi Oladetan","Aliu Bolade Lawal","Francis Chukwudalu Okeke","Olutoyin Olayemi Ogunbule","Eric Iyere Eromosele"],"tags":["Engineering","Computer science","Engineering management","Risk analysis (engineering)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-13","doi":"https://doi.org/10.69739/sjet.v2i2.808","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4402929034","name":"Digital Transformation in Maritime Ports: Defining Smart Gates through Process Improvement in a Portuguese Container Terminal","source":"openalex","abstract":"As the digital paradigm stimulates changes in various areas, seaports, which are fundamental to logistics and the global supply chain, are also undergoing a digital revolution, evolving into smart ports. Smart gates are essential components in this transformation, playing a vital role in increasing port efficiency. In the context of smart gates, the aim of this study is to understand how process management can serve as a catalyst for digital transformation, promoting efficiency in traffic flow and logistics. To achieve this objective, the design science research (DSR) methodology was followed, which allowed for the integration of information from several sources of requirement, encompassing both theoretical and practical aspects. The practical component took place at one of Portugal’s largest container terminals, which allowed for the integration of information from various sources. As a result, this study presents the conceptual definition of a smart gate in terms of processes, main technologies, and key performance indicators that will support the monitoring and improvement of future operations. The results provide theoretical and practical contributions: on a practical level, they present a real application of the transformation towards a smart gate, serving as a model for other ports in their digitalization; on a theoretical level, they enrich the literature with a methodology for digitalizing maritime road gates, showing how the use of process management approaches, such as the BPMN, can increase operational efficiency in container terminals.","url":"https://doi.org/10.3390/fi16100350","authors":["Juliana Basulo-Ribeiro","Carina Pimentel","Leonor Teixeira"],"tags":["Computer science","Container (type theory)","Terminal (telecommunication)","Process (computing)","Portuguese"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-27","doi":"https://doi.org/10.3390/fi16100350","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4400050654","name":"‘Digital provide’ or product consumption diffusion cycle? The diffusion impact and potential of digital technology in the Global South","source":"openalex","abstract":"The global digital divide is sometime presented as the primary obstacle to developmental convergence between world regions. On the other hand mobile phone and internet technology are at times seen as transformative innovations that are dissolving this development divide. Through secondary data (such as on usage from Internet World Stats) and case exemplars, of mobile money and the gig economy, this paper argues that this is not the case; primarily because new information and communication technologies are used mostly for communication and consumption, rather than production, and if they are value capture is often low. Consequently the ‘digital divide’, and its partial dissolution, are perhaps better characterized as phases of an ‘ICT product consumption diffusion cycle’, facilitated by technological embedding and convergence. The paper provides background and substantiates this argument and then explores the potential for a deep digital transformation (DDT) in the Global South.","url":"https://doi.org/10.1080/02681102.2024.2368539","authors":["Pádraig Carmody"],"tags":["Consumption (sociology)","Mobile phone","The Internet","Product (mathematics)","Information and Communications Technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-26","doi":"https://doi.org/10.1080/02681102.2024.2368539","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4402340224","name":"Spatial concentration of the ICT sector in the digital age in Central and Eastern Europe","source":"openalex","abstract":"As new digital technologies become widespread, it is crucial to understand the role of spatiality and agglomeration economies in the digital age, especially in the ICT sector. The ICT sector, with its innovative strength and the ability to complement various sectors, drives digitalization and balanced economic development. Recognizing the importance of digitalization and the ICT sector for economic development, especially in the catching-up regions of Central and Eastern Europe, this study aims at exploring the role and the spatiality of the ICT sector in the urban and rural areas of the Visegrad countries and Romania. The analysis focuses on the spatial concentration of the ICT sector and the specialization of the regions on the NUTS 3 level, distinguishing capital, intermediate metropolitan, intermediate non-metropolitan and rural areas, utilizing data on employed persons in the period 2010–2020. Findings reveal the dynamic growth and spatial concentration of the ICT sector despite the ongoing process of digitalization, particularly in capital regions, alongside the increasing significance of modern business services in agglomeration economies. Additionally, the research proves the presence of division of labour among different types of regions, reveals capital and rural regions as highly specialized regions and points to the need for place-sensitive development policy.","url":"https://doi.org/10.1080/09654313.2024.2396485","authors":["Zsófia Vas","Izabella Szakálné Kanó","György Vida"],"tags":["Information and Communications Technology","Economic geography","Regional science","Geography","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-08","doi":"https://doi.org/10.1080/09654313.2024.2396485","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4393106988","name":"Light Metals 2024","source":"openalex","abstract":"The Light Metals symposia at (TMS) present the most recent developments, discoveries, and practices in primary aluminum science and technology.","url":"https://doi.org/10.1007/978-3-031-50308-5","authors":["Samuel Wagstaff"],"tags":["Engineering","Nanotechnology","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-50308-5","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W7140163627","name":"A digital twin framework for decision-support and optimization of EV charging infrastructure in localized urban systems","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compenvurbsys.2026.102422","authors":["Bui Khanh Linh Do","Thanh H. Nguyen","Nghi Huynh Quang","Doanh Nguyen-Ngoc","Laurent El Ghaoui"],"tags":["Scalability","Computer science","Renewable energy","Modular design","Photovoltaic system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-24","doi":"https://doi.org/10.1016/j.compenvurbsys.2026.102422","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4410382109","name":"The translational power of Alzheimer’s-based organoid models in personalized medicine: an integrated biological and digital approach embodying patient clinical history","source":"openalex","abstract":"Alzheimer’s disease (AD) is a complex neurodegenerative condition characterized by a multifaceted interplay of genetic, environmental, and pathological factors. Traditional diagnostic and research methods, including neuropsychological assessments, imaging, and cerebrospinal fluid (CSF) biomarkers, have advanced our understanding but remain limited by late-stage detection and challenges in modeling disease progression. The emergence of three-dimensional (3D) brain organoids (BOs) offers a transformative platform for bridging these gaps. BOs derived from patient-specific induced pluripotent stem cells (iPSCs) mimic the structural and functional complexities of the human brain. This advancement offers an alternative or complementary approach for studying AD pathology, including β-amyloid and tau protein aggregation, neuroinflammation, and aging processes. By integrating biological complexity with cutting-edge technological tools such as organ-on-a-chip systems, microelectrode arrays, and artificial intelligence-driven digital twins (DTs), it is hoped that BOs will facilitate real-time modeling of AD progression and response to interventions. These models capture central nervous system biomarkers and establish correlations with peripheral markers, fostering a holistic understanding of disease mechanisms. Furthermore, BOs provide a scalable and ethically sound alternative to animal models, advancing drug discovery and personalized therapeutic strategies. The convergence of BOs and DTs potentially represents a significant shift in AD research, enhancing predictive and preventive capacities through precise in vitro simulations of individual disease trajectories. This approach underscores the potential for personalized medicine, reducing the reliance on invasive diagnostics while promoting early intervention. As research progresses, integrating sporadic and familial AD models within this framework promises to refine our understanding of disease heterogeneity and drive innovations in treatment and care.","url":"https://doi.org/10.3389/fncel.2025.1553642","authors":["Cristina Dolciotti","Marco Righi","Eleonora Grecu","Marcello Trucas","Cristina Maxia","Daniela Murtas","Andrea Diana"],"tags":["Personalized medicine","Neuroscience","Precision medicine","Disease","Induced pluripotent stem cell"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-15","doi":"https://doi.org/10.3389/fncel.2025.1553642","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412508777","name":"Integrated Approaches to Urban Energy Efficiency and Carbon Sequestration: A Framework for Implementing Urban Digital Twins","source":"openalex","abstract":"Energy efficiency and carbon sequestration are fundamental components of sustainable urban development, as cities account for majority of global energy consumption and carbon emissions. This research explores Urban Digital Twins (UDTs) as an innovative approach to optimizing operational energy use and enhancing carbon sequestration in urban environments. UDTs integrate real-time data processing, simulation models, and public participation to drive sustainable energy management and emissions reduction. The study examines two pilot buildings in Thailand and Vietnam, using energy data to evaluate the feasibility of UDTs. Key implementation challenges, including regulatory barriers, setup costs, and limited public engagement, are analyzed, with proposed strategies to address them. A digital twin-based energy framework enables cities to integrate renewable energy systems, intelligent controls, and carbon sequestration strategies, optimizing energy use while reducing emissions and costs. This research aligns with UN Sustainable Development Goals (SDGs) 7 and 11, supporting clean energy adoption and sustainable urban development.","url":"https://doi.org/10.38027/smart.v2n1-5","authors":["Muhammad Rahat Jamil"],"tags":["Carbon sequestration","Carbon fibers","Energy (signal processing)","Efficient energy use","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-21","doi":"https://doi.org/10.38027/smart.v2n1-5","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4411345500","name":"An Overview of Critical Success Factors for Digital Shipping Corridors: A Roadmap for Maritime Logistics Modernization","source":"openalex","abstract":"Digital Shipping Corridors (DSCs) are gaining traction as integrated models for increasing transparency, efficiency, and sustainability in maritime logistics. Yet, the enabling conditions for their effective implementation remain insufficiently explored. This study employs a qualitative thematic review approach, analyzing the academic literature, global policy documents, and selected case studies to identify and synthesize the critical success factors for DSC development. The analysis reveals seven interdependent factors: technological infrastructure, economic feasibility, regulatory frameworks, logistical efficiency, logistical security, stakeholder collaboration, and environmental sustainability. These factors are not independent but interact dynamically, requiring coordinated development across technical, institutional, and environmental domains. This study proposes a dynamic interaction framework that illustrates how progress in one area (e.g., digital infrastructure) depends on readiness in others (e.g., governance and cross-sector collaboration). The outcomes contribute both conceptually and practically. The framework offers a system-level understanding of DSC implementation and identifies key leverage points for intervention. The findings provide strategic guidance for policymakers, port authorities, and supply chain stakeholders pursuing digitally enabled sustainable maritime corridors. This study also highlights areas for future empirical validation, particularly in relation to governance integration and cross-border alignment.","url":"https://doi.org/10.3390/su17125537","authors":["Seyedeh Azadeh Alavi-Borazjani","Alberto Antonio Bengue","Valentina Chkoniya","Muhammad Noman Shafique"],"tags":["Modernization theory","Maritime industry","Business","Critical success factor","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-16","doi":"https://doi.org/10.3390/su17125537","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4403787026","name":"DEVELOPMENT OF AN IMPROVED ALGORITHM FOR OPTIMAL CONTROL OF ELECTRICAL MODES FOR A LADLE-FURNACE BY USING A DIGITAL TWIN","source":"openalex","abstract":"Within the framework of the article, a new algorithm for automatically switching of operating curves and on-load tap-changer stages in a ladle furnace is considered, depending on the level of the slag coefficient. A problem is formulated related to the complexity of determining the control parameter settings for various slag modes and blowing modes modes. As a solution to this problem, it is proposed to use a digital twin, which allows to calculate the most optimal combination of control settings for three phases. Upon completion of the calculation, the new setpoint values are transferred directly to the automatic control system for the electrical mode of the LF and are used for further operation of the unit. In conclusion, the results of the implementation of a new algorithm on the existing LF operating at one of the domestic metallurgical enterprises are presented.","url":"https://doi.org/10.14529/power240304","authors":["А. А. Николаев","P. G. Tulupov","S. S. Ryzhevol","M. V. Bulanov"],"tags":["Ladle","Algorithm","Control (management)","Computer science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.14529/power240304","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4399547916","name":"Features of development of a digital twin of the transport system of an urban area using simulation modeling methods","source":"openalex","abstract":"The relevance of the study is justified by the growing share of urban population and their active use of personal automobile and public transportation. All this increases the mobility of the population and requires the development of transportation infrastructure in the established urban development. Solving such problems requires the development of models that simulate all aspects of the real object of the transportation system. With their help it is possible to conduct experiments on changing individual characteristics of the system in order to assess its response to control actions. The object of the study is Pervomayskaya Street at its intersection with the Tretya Parkovaya Street in the Izmailovo district of the Eastern Administrative District of Moscow. The article presents the stages of simulation model creation and their corresponding results in the form of models characterizing traffic flows, system objects and their behavior.","url":"https://doi.org/10.1051/e3sconf/202453504004","authors":["Aleksandr Krasnikov","Владимир Симонов","Sergey Boykov"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1051/e3sconf/202453504004","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4390815564","name":"Platforms Enhancing Proximity in the Digital Era","source":"openalex","abstract":"Platforms have the ability to create connected digital spaces where different actors co-exist and work together. The paper explores the power of platforms as enablers of a new channel of proximity, called digital proximity. It argues that platforms enable interactions, information flows, and network formation through digital proximity, which can effectively reinforce externalities complementing existing proximity forms or bypassing physical space barriers. Firms and industries adopting platform-based tools can create meaningful channels for increasing their proximity at an intra- and inter-firm level. The study uses data from the Digital Economy and Society database covering 25 EU countries for the years 2019 and 2021. It calculates the degree of adoption by EU firms at the national level for a set of selected platform-based technologies closely related to different proximity forms. It investigates the relationship between digital proximity, firm size, and industry, also introducing a geographical dimension. The evidence suggests that large firms have managed to integrate platform-based technologies to a greater extent, whereas small and medium firms still lack leveraging the full power of platforms. Increased adoption at the country level is also related to increased productivity, indicating the geographical dimension of platforms. The paper argues that platforms can be seen as a new means for balancing uneven spatial capabilities for producing proximity, indicating a high potential for fostering territorial cohesion. It concludes by suggesting that future research should measure the effects of digital proximity on development and their causal relationship to better elaborate on the implications of platforms on development.","url":"https://doi.org/10.3390/platforms2010001","authors":["Anastasia Panori"],"tags":["Dimension (graph theory)","Business","Industrial organization","Productivity","Externality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-12","doi":"https://doi.org/10.3390/platforms2010001","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412991678","name":"A knowledge foundation and prospect review on thermal response of bridges","source":"openalex","abstract":"Amidst the rapid global expansion of bridge infrastructure, insufficient consideration of thermal effects during the design, construction, and maintenance of bridges persists, resulting in high-cost incidents and escalating safety concerns. A comprehensive understanding of thermal responses in bridges is essential not only for enhancing the safety and reliability of construction processes but also for minimizing long-term operational losses. As of December 2024, using CiteSpace and VOSviewer, a bibliometric analysis was conducted on 2190 publications from the Web of Science, generating the first comprehensive knowledge map of bridge thermal behavior. The field has evolved through four stages from the 2000 to 2024, progressing from theoretical and empirical modeling to finite element methods and, more recently, multi-physics coupling and digital twin technologies. Major research hotspots include spatiotemporal temperature gradients, AI-driven thermal monitoring, and macro-micro thermal effects on concrete structures. A novel fluid-solid-thermal interaction (FSTI) framework combining computational fluid dynamics (CFD) wind fields with ABAQUS heat transfer modeling reveals internal thermal differentials during cantilever construction and large-volume concrete casting. Future research is expected to focus on AI-enhanced digital twins, the distribution of temperature fields under extreme climates, and probabilistic models linking thermal environments to structural damage.","url":"https://doi.org/10.1177/13694332251365970","authors":["Jinsong Zhu","Ziyi Wang","Yuanhao Zhang","Yanlei Wang"],"tags":["Foundation (evidence)","Structural engineering","Engineering","Forensic engineering","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-05","doi":"https://doi.org/10.1177/13694332251365970","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4406786184","name":"Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid","source":"openalex","abstract":"Modern power grids are transitioning towards power electronics-dominated grids (PEDG) due to the increasing integration of renewable energy sources and energy storage systems. This shift introduces complexities in grid operation and increases vulnerability to cyberattacks. This research explores the application of digital twin (DT) technology and machine learning (ML) techniques for anomaly detection in PEDGs. A DT can accurately track and simulate the behavior of the physical grid in real-time, providing a platform for monitoring and analyzing grid operations, with extended amount of data about dynamic power flow along the whole power system. By integrating ML algorithms, the DT can learn normal grid behavior and effectively identify anomalies that deviate from established patterns, enabling early detection of potential cyberattacks or system faults. This approach offers a comprehensive and proactive strategy for enhancing cybersecurity and ensuring the stability and reliability of PEDGs.","url":"https://doi.org/10.48550/arxiv.2501.13474","authors":["Ildar Idrisov","Divine Okeke","Abdullatif Albaseer","Mohamed Abdallah","Federico Martín Ibáñez"],"tags":["Anomaly detection","Electronics","Grid","Anomaly (physics)","Power electronics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-23","doi":"https://doi.org/10.48550/arxiv.2501.13474","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icca62789.2024.10591953","name":"Digital Twin Empowered Operational Status Monitoring of High-Power Induction Furnaces: A PINN-Based Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icca62789.2024.10591953","authors":["Zhao Zhang","Shen Li","Wei-Jie Mao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-25T17:19:13Z","doi":"10.1109/icca62789.2024.10591953","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1051/bioconf/202414505005","name":"Structural mechanics in forestry based on digital twin","source":"crossref","abstract":"Computational simulations are particularly relevant when it comes to robots operating in highly dynamic environments, such as robots used as mobile equipment in forestry. The structural design of such a robot is quite complex. However, this is usually done once at the beginning of the design process and the dynamic loads can only be estimated, leading to huge safety margins. In this paper, a digital twin approach to structural mechanics is proposed. Each feature of the environment (each tree, soil, etc.) as well as the robot itself can be represented by a digital twin. Rigid body dynamics are used to record all acting forces and impulses during the operation. These serve as input for finite element analysis, thus providing a holistic modelling framework.","url":"https://doi.org/10.1051/bioconf/202414505005","authors":["Anton Zarevich","Alexander Poluektov","Yulya Sumina","Philipp Makarenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-28T08:50:35Z","doi":"10.1051/bioconf/202414505005","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.energy.2023.129969","name":"Digital twin modeling and operation optimization of the steam turbine system of thermal power plants","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.energy.2023.129969","authors":["Chen Chen","Ming Liu","Mengjie Li","Yu Wang","Chaoyang Wang","Junjie Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-17T14:27:27Z","doi":"10.1016/j.energy.2023.129969","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1515/9783110778861-009","name":"Chapter 9 Security in Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-009","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-009","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icc64753.2024.10883673","name":"Hybrid Digital Twin Based Model Predictive Control for Optimal Charging of Lithium-Ion Battery to Enhance SOH","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc64753.2024.10883673","authors":["Kaviya V","Ahamed Atheeq M. A","Sutha Subbian","Pappa Natarajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-21T18:37:11Z","doi":"10.1109/icc64753.2024.10883673","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icamechs63130.2024.10818813","name":"Cyber-physical Workbench for human digital twin integration: A system proposal","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icamechs63130.2024.10818813","authors":["Ricardo N. C. Rodrigues","Jaime Fonseca","António H.J. Moreira"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-02T19:17:22Z","doi":"10.1109/icamechs63130.2024.10818813","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iraset60544.2024.10548797","name":"Optimal Maintenance Management In Microgrids With Digital Twin Integration: A Dynamic Scheduling Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iraset60544.2024.10548797","authors":["Ayoub ZERKA","Mohammed OUASSAID","Mohamed MAAROUFI"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-13T17:33:58Z","doi":"10.1109/iraset60544.2024.10548797","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/inmic64792.2024.11004403","name":"Leveraging Recurrent Neural Networks in Virtual Reality-based Digital Twin Models for Enhanced Predictive Maintenance of Industrial Machines","source":"crossref","abstract":"","url":"https://doi.org/10.1109/inmic64792.2024.11004403","authors":["Hamad Abdul Razzaq","Muhammad Jazzel Mehmood","Farhan Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-16T17:42:12Z","doi":"10.1109/inmic64792.2024.11004403","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1061/9780784485248.129","name":"A Framework for Remote Road Furniture Monitoring System Using Smart IoT Dashcams and Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485248.129","authors":["Inbae Jeong","Youjin Jang","Israt Sharmin Dola","Moein Younesi Heravi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-05T11:01:57Z","doi":"10.1061/9780784485248.129","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/ds-rt62209.2024.00012","name":"Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ds-rt62209.2024.00012","authors":["Joakim Schack Betzer","Jalil Boudjadar","Mirgita Frasheri","Prasad Talasila"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-28T23:10:17Z","doi":"10.1109/ds-rt62209.2024.00012","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icaml64299.2024.00092","name":"Design and Research of IIoT Intelligent Automatic Production Line Security Monitoring System Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaml64299.2024.00092","authors":["Mengjia Lian","Shiyu Wang","Chunxiao Wang","Mingshi Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:30Z","doi":"10.1109/icaml64299.2024.00092","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/ecceeurope62508.2024.10751976","name":"Loss Analysis Towards Developing a Digital Twin Model of a PMSG-Based Powertrain for Wind Turbine System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecceeurope62508.2024.10751976","authors":["Abdullah Shawier","Shady Gadoue","Kamyar Mehran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-20T18:56:57Z","doi":"10.1109/ecceeurope62508.2024.10751976","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781394390205.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.fmatter","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.2172/2478608","name":"Designing a Cloud Chamber and Digital Twin Simulation for Studying Aerosol-Warm Cloud Interactions","source":"crossref","abstract":"","url":"https://doi.org/10.2172/2478608","authors":["Kyle Gorkowski","Nevil Franco","Zakaria Khan","Dawson Johnson","Hannah Brink","Liam Wedell","Matthew Nelson","Katherine Benedict"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-28T03:13:46Z","doi":"10.2172/2478608","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781394411337.ch6","name":"Harnessing Artificial Intelligence and Digital Twin Technologies for Sustainable Agripreneurship","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch6","authors":["A. IYAPPAN","G. ILANKUMARAN","Tripuraneni JAGGAIAH"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch6","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.12688/digitaltwin.17607.1","name":"Research on audible noise of ultra-high voltage direct current (UHV DC) transmission lines with a digital twin","source":"crossref","abstract":"Much attention has been paid to audible noise in the design of ultra-high voltage (UHV) direct current (DC) transmission lines because of its negative impact on residents' lives. In order to analyze audible noise, shorten the research period, and reduce experimental costs, firstly, a digital twin model for audible noise of UHV DC transmission lines is proposed. Then, the model’s structure and related principles are explained in detail. Finally, an application, as a research paradigm, uses digital twin to study the source distribution on transmission lines and influencing factors of audible noise. The A-weighted sound level of audible noise on the ground is calculated and compared with the data obtained by the BPA empirical formula. The results show that the position of the sound source tends to have uniform distribution and the intensity tends to have Gaussian distribution, while temperature and relative humidity exert obvious effects on audible noise, illustrating the great value of digital twin technology in the study of audible noise. This paper not only provides a new method for audible noise research, but also provides a reference for the design of UHV DC transmission lines.","url":"https://doi.org/10.12688/digitaltwin.17607.1","authors":["Penghui Zhao","Linjun Fu","Haiwen Yuan","Yingyi Liu","Luxing Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-20T10:05:23Z","doi":"10.12688/digitaltwin.17607.1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.17660/actahortic.2024.1395.18","name":"Experiment-modelling-integration of fundamental physiological processes towards digital twin: light-response of photosynthesis as an example","source":"crossref","abstract":"","url":"https://doi.org/10.17660/actahortic.2024.1395.18","authors":["S. Zhou","Zipiao Ye","D. Stefanelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T11:09:12Z","doi":"10.17660/actahortic.2024.1395.18","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.apenergy.2023.122237","name":"Dual Digital Twin: Cloud–edge collaboration with Lyapunov-based incremental learning in EV batteries","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2023.122237","authors":["Jiahang Xie","Rufan Yang","Shu-Yuen Ron Hui","Hung D. Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-09T14:46:03Z","doi":"10.1016/j.apenergy.2023.122237","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iceict61637.2024.10671074","name":"Discuss the digital twin technology of substation based on ARM system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceict61637.2024.10671074","authors":["Hongwei Ai","Zhongshi Du","Yanqun Huang","Xianglong Meng","Jianan Qu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-17T18:47:29Z","doi":"10.1109/iceict61637.2024.10671074","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/swc62898.2024.00318","name":"Design of a Parkinson’s Rehabilitation Management System Based on Multimodal Learning and Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00318","authors":["Jing Qin","Yuecheng Cai","Zuming Wang","Jianqiang Jin","Xiaofei Huang","Lisha Pei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00318","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.cie.2023.109839","name":"Improving safety management in railway stations through a simulation-based digital twin approach","source":"openalex","abstract":"In the dynamic milieu of modern, bustling railway stations, the emphasis on safety and efficient pedestrian traffic management has never been more crucial, elevating the significance of Digital Twins (DTs). DTs bring transformative changes in the way we approach the design, operation, control, and maintenance of complex systems, such as transportation hubs. However, documented real-world applications are lacking, leaving scientists and practitioners without valuable insights on DT implementation. Drawing from a case study centered around a prominent Italian railway station, this paper showcases the prototype of a simulation-based DT that empowers station managers with capabilities such as pedestrian flow prediction, early congestion warnings, evacuation response planning, layout optimization, and intelligent gate management. The simulation-based DT acts as a sophisticated mirror reflecting the dynamics of a station's crowd, drawing data from its physical counterpart with a certain frequency, simulating the evolution of the system over a given time horizon, returning warning messages to the decision maker if issues are identified, and evaluating ex-ante different corrective solutions. The latter becomes crucial for controlling the physical world, providing a closed-loop system. Our case-based framework validates the effectiveness of methods and technical solutions engineered ad-hoc to achieve an acceptable tradeoff among accuracy, performance, and scalability. This includes addressing challenges related to the synchronization of the virtual and physical world, data integration and interoperability with existing systems, and human-system interaction. Ultimately, this contribution serves as a valuable resource, bridging the gap between theoretical concepts and tangible applications in the realm of transportation hub management.","url":"https://doi.org/10.1016/j.cie.2023.109839","authors":["Antonio Padovano","Francesco Longo","Luigi Manca","Roberto Grugni"],"tags":["Crowds","Cyber-physical system","Interoperability","Bridging (networking)","Pedestrian"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-15","doi":"10.1016/j.cie.2023.109839","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"doi:10.1002/9781394303601.ch4","name":"Artificial Intelligence Empowered Smart Manufacturing for Modern Society","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303601.ch4","authors":["Amit Kumar Tyagi","Pooja Bhatt","N. Chidambaram","Shabnam Kumari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-13T17:20:12Z","doi":"10.1002/9781394303601.ch4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.techsoc.2024.102519","name":"Infrastructure digital twin technology: A new paradigm for future construction industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.techsoc.2024.102519","authors":["Taofeeq D. Moshood","James OB. Rotimi","Wajiha Shahzad","J.A. Bamgbade"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-26T08:16:55Z","doi":"10.1016/j.techsoc.2024.102519","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1007/978-3-031-21343-4_15","name":"Infrastructure for Digital Twins: Data, Communications, Computing, and Storage","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_15","authors":["Flavio Bonomi","Adam T. Drobot"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_15","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00007-8","name":"Digital twin applications in industrial robotics and cyber-physical systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00007-8","authors":["Roman Ružarovský","Tibor Horák"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00007-8","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1201/9781003492146-10","name":"Digital Twins for Train Operation Optimizations","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-10","authors":["Colin Cole"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-10","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1002/9781394474486.oth","name":"Conclusion","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.oth","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.oth","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/978-3-031-57534-1_4","name":"Blockchain-Enabled Data Sharing Solution for HDT","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-57534-1_4","authors":["Samuel D. Okegbile","Jun Cai","Changyan Yi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T03:38:27Z","doi":"10.1007/978-3-031-57534-1_4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/pecon62060.2024.10827482","name":"Digital Twin Simulation and Comparative Study to Understand the Microgrid Operation and Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pecon62060.2024.10827482","authors":["Krishna Kumar Saini","Chinmay Yadav","Hitesh Datt Mathur","Aditya R. Gautam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-13T19:40:33Z","doi":"10.1109/pecon62060.2024.10827482","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iacis61494.2024.10721930","name":"Digital Twin-Driven Intrusion Detection for IoT and Cyber-Physical System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iacis61494.2024.10721930","authors":["Saravanan Kandaneri Ramamoorthy","L. Sindhu","K. Valarmathi","Gobinath C","P. Umaeswari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-24T17:23:48Z","doi":"10.1109/iacis61494.2024.10721930","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iotaai62601.2024.10692590","name":"Digital Twin System Based on Swarm Intelligence Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iotaai62601.2024.10692590","authors":["Qiang Li","Feng Zhao","Linlin Zhao","Xuhong Qin","Yubo Wang","Yana Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-02T18:15:36Z","doi":"10.1109/iotaai62601.2024.10692590","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.aei.2024.102747","name":"Comprehensive digital twin for infrastructure: A novel ontology and graph-based modelling paradigm","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102747","authors":["Tao Li","Yi Rui","Hehua Zhu","Linhai Lu","Xiaojun Li"],"tags":["Computer science","Paradigm shift","Ontology","Graph","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-30","doi":"10.1016/j.aei.2024.102747","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1016/j.jii.2024.100679","name":"A digital twin for operations management in manufacturing engineering-to-order environments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jii.2024.100679","authors":["Guido Vinci-Carlavan","Daniel Rossit","Adrián Toncovich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-06T15:21:38Z","doi":"10.1016/j.jii.2024.100679","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781394287420.ch4","name":"Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420.ch4","authors":["Asadi Srinivasulu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:06:37Z","doi":"10.1002/9781394287420.ch4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781394354047.ch13","name":"Design and Realization of Hardware‐in‐Loop Digital Twin Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394354047.ch13","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T21:31:16Z","doi":"10.1002/9781394354047.ch13","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00017-2","name":"About the editors","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00017-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:26:50Z","doi":"10.1016/b978-0-443-14070-9.00017-2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.69894/20190523","name":"Twin digital twins","source":"crossref","abstract":"Kongsberg and Shell sign digital twin deal for Nyhamna gas facility. DNV GL proposes a ‘probabilistic digital twin’","url":"https://doi.org/10.69894/20190523","authors":["Neil McNaughton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T12:21:34Z","doi":"10.69894/20190523","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.47330/cbc.2021.xqoi5629","name":"Integrated Project Delivery and Blockchain","source":"crossref","abstract":"Blockchain and other distributed ledger technologies represent a new form of economic coordination. Beyond just cryptocurrency transactions, blockchain has inherent affordances that can also be useful to design a new project delivery system. This presentation describes the traditional project delivery system and the integrated project delivery model as past forms of project governance.","url":"https://doi.org/10.47330/cbc.2021.xqoi5629","authors":["Daniel Hall"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.xqoi5629","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/we.2912/v1/review2","name":"Review for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v1/review2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.2139/ssrn.4308687","name":"OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare","source":"crossref","abstract":"Literature review articles are essential to summarise the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword \"Digital twin in healthcare\" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT.","url":"https://doi.org/10.2139/ssrn.4308687","authors":["Ömer Aydın","Enis Karaarslan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-29T08:07:39Z","doi":"10.2139/ssrn.4308687","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.47330/cbc.2021.pbrj8934","name":"Framework Towards Decentralized Autonomous Space","source":"crossref","abstract":"In this presentation, we introduce the concept of Decentralized Autonomous Space, where agents of human and self-owning machines come together and are governed through a blockchain-enabled decentralized system. The research focuses on the governance aspects of such a space, meaning the decision-making and value allocation processes. Then the proof-of-concept prototype is described. The prototype is designed to be a single-person, soler-powered, and self-owning meditation space. The technical feasibility of the space is established through a preliminary electronic system that is connected and autonomously broadcast to the blockchain. Users can interact with the space by connecting crypto wallets. Ultimately, this research explores the possibility of the coordination of mixed-agent communities and the possibility to improve system efficiency and social equity through introducing non-rent seeking digital infrastructures and decentralized governance systems.","url":"https://doi.org/10.47330/cbc.2021.pbrj8934","authors":["Hongyang Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:53:32Z","doi":"10.47330/cbc.2021.pbrj8934","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.36227/techrxiv.176523397.75727231/v1","name":"Trusted RAN-Edge Digital Twin Framework for Next-Generation IoT Security","source":"crossref","abstract":"As we move toward 6G networks, millions of IoT devices will demand both high performance and resilience against sophisticated attacks. The problem is that traditional security monitoring can't keep up with the scale and speed of edgebased IoT traffic. I present a lightweight digital twin framework deployed at the RAN edge that mirrors real-time IoT behavior using only RF key performance indicators. My approach differs from existing digital twin architectures in three ways: (1) it uses only KPI telemetry rather than full network state, keeping computational overhead minimal; (2) it incorporates security-aware synchronization with integrity checks designed for adversarial environments; and (3) it operates under strict edge resource constraints without requiring cloud connectivity. I track metrics like latency, block error rate (BLER), and handover patterns to detect threats before they spread through the RF infrastructure. Testing on 100 simulated IoT devices and a small set of real LTE logs shows detection latency of 2-5 seconds for spoofing and KPI manipulation attacks, with 3-7% false positive rates and roughly 15-20% CPU overhead on edge hardware. This demonstrates that KPI-only twins can form a practical security layer for resourceconstrained edge deployments, providing rapid threat detection without overwhelming computational resources.","url":"https://doi.org/10.36227/techrxiv.176523397.75727231/v1","authors":["Saurabh Hitendra Patel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T22:46:24Z","doi":"10.36227/techrxiv.176523397.75727231/v1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/9781394354047.ch14","name":"Testing and Validation of Hardware‐in‐Loop Digital Twin Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394354047.ch14","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T21:31:16Z","doi":"10.1002/9781394354047.ch14","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.2139/ssrn.6670118","name":"Harnessing Digital Twin Technology for Intelligent Maintenance and Design of PMSM","source":"openalex","abstract":"In this study, LSTM deep learning models were used to test cross-motor generalization; the tests included PMSM(Permanent Magnet Synchronous Motor) Rotor and Stator dimensions as predictors to improve predictive accuracy. For this study, four similar-architecture PMSMs with varying stator and rotor dimensions and hours of normalized PMSM timeseries test bench sensor data from DQ-axis voltages and currents (u d , u q , i d , i q), motor speed (ω), torque (T), and thermal time series data (coolant and stator temperatures) were used to train LSTM networks, and normalized data from these PMSMs were used to test whether including dimensions improves predictive accuracy. The inclusion of rotor and stator dimensions significantly improved prediction accuracy; for example, in this study, the tested LSTM model showed R 2 exceeding 0.90 for motor speed and torque when the dimensions were included as predictors. Furthermore, the LSTM model was configured to be leak-free. A 50-step ambient-temperature label time-series window from the unseen target motor was used solely as inference context (not as training data), preserving leak-free leave-one-motor-out validation and enabling the model to be validated on previously unseen motor sensor data under specified load conditions. The tests showed that the model generalizes with high accuracy (achieving R 2 up to 0.95 for speed and torque), although performance varied across operating scenarios. The study's results show that including dimensions can improve predictive accuracy. Overall, the study led to the assumption that LSTM deep learning models can be adopted in PMSM design optimization and predictive maintenance digital twin frameworks due to their robust predictive performance, especially for predicting PMSM operational variables under varying load conditions, and for generating reliable performance data for new e-motor designs.","url":"https://doi.org/10.2139/ssrn.6670118","authors":["Varun reddy","Varun Reddy"],"tags":["Stator","Torque","Rotor (electric)","Context (archaeology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"10.2139/ssrn.6670118","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.1201/9781003532286-3","name":"Automated Insurance Claim Settlement Leveraging Blockchain and Digital Twin Technologies in Healthcare 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-3","authors":["R. S. Ramya","Babu D. R. Ramesh","Krishnan Rangarajan","Nikil Dixit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/9781394411320.ch3","name":"AI and Digital Twin for Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch3","authors":["P Latha","S Geetha","M VAIDHEHI","G Nalina Keerthana","C. Muthu Selvi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1109/bibm62325.2024.10822244","name":"Personalization of a Hemodynamic Cardiac Digital Twin: An Echocardiogram based Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bibm62325.2024.10822244","authors":["Oishee Mazumder","Ayan Mukherjee","Shilajit Banerjee","Sundeep Khandelwal","K. M. Mandana","Aniruddha Sinha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-10T20:12:45Z","doi":"10.1109/bibm62325.2024.10822244","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1049/pbbe005e_ch3","name":"Smart cities' development roadmap: case of the urban digital twin for the city of Berkane, Morocco","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbbe005e_ch3","authors":["Badr Ben Hichou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-09T07:41:11Z","doi":"10.1049/pbbe005e_ch3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1115/gt2024-125917","name":"Operations Optimisation of a Gas-Lift Compression System Using a Digital-Twin Approach","source":"crossref","abstract":"Abstract The Oil and Gas industry is facing complex challenges including spiralling exploration and development costs, aging assets, long lead times on equipment, shortage of skilled people, among others. As such, it is imperative existing assets are operated efficiently and properly maintained to maximise production. A typical approach to achieve this objective considers industry best practices, international standards, manufacturer recommendations and condition monitoring techniques such as oil analysis, vibration, thermography, ultrasound, etc. However, the advent of Industry 4.0 has promoted the development and adoption of advanced techniques: a prominent example being the Digital-Twin concept. A Digital-Twin is a virtual model developed using advanced modelling and data handling techniques to replicate and predict the behaviour of individual equipment or entire production systems. A Digital-Twin approach can deliver predictive monitoring capabilities; analysis of complex systems; define solutions to operational issues; virtual testing and confirmation of proposed modifications; etc. This paper presents the development of a Digital-Twin for troubleshooting and operations optimisation of a motor-driven three-stage gas-lift compression system with a long history of unstable operation, recurrent emergency shutdown events and low availability. The multidisciplinary approach includes analysis of the control system architecture, assessment of field instrumentation, data validation, performance benchmarking, dynamic modelling and off-line control system testing. A cost-effective solution with only minor software modifications was designed, tested and demonstrated before its implementation. The successful outcome of the project reduced the need for constant operator intervention, reduced emergency shutdown events, increased availability of the gas compression system from 86% to 98.2%, reduced gas imports, increased gas exports and enhanced oil production.","url":"https://doi.org/10.1115/gt2024-125917","authors":["Marco Mucino","John Savage"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-28T19:57:30Z","doi":"10.1115/gt2024-125917","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1007/978-3-031-57534-1_2","name":"Design Requirements and Key Technologies for HDT","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-57534-1_2","authors":["Samuel D. Okegbile","Jun Cai","Changyan Yi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T03:38:27Z","doi":"10.1007/978-3-031-57534-1_2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.23919/ccc63176.2024.10662370","name":"Virtual Equipment Modeling of Track Circuit in High-speed Railway Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10662370","authors":["Simin Pan","Houde Han","Qiang Yue","Wenjing Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-17T18:46:36Z","doi":"10.23919/ccc63176.2024.10662370","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/sensors60989.2024.10785038","name":"Fruity Twin – A Digital Platform for Processing Sensor Data in Food Cool Chains","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sensors60989.2024.10785038","authors":["Reiner Jedermann","Tuany Gabriela Hoffmann","Akshay D. Sonawane","Pramod V. Mahajan","Björn Lüssem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-17T19:07:24Z","doi":"10.1109/sensors60989.2024.10785038","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icaiic60209.2024.10463426","name":"Designing Data Pipeline for Network Data Management in Digital Twin Network Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiic60209.2024.10463426","authors":["Hyeju Shin","Seungmin Oh","Jihoon Lee","Gwangmoo Chung","Jinsul Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T18:12:10Z","doi":"10.1109/icaiic60209.2024.10463426","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iciea61579.2024.10664975","name":"Augmented Perception: Empowering Flexible Manufacturing Systems through the Digital Twin - A Novel Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciea61579.2024.10664975","authors":["Yassine FEDDOUL","Nicolas RAGOT","Fabrice DUVAL","Vincent HAVARD","David BAUDRY"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T17:51:10Z","doi":"10.1109/iciea61579.2024.10664975","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/bigdata62323.2024.10826133","name":"A UAV-Based Digital Twin Framework for Real-Time Monitoring and Risk Assessment of Floating Roof Storage Tanks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bigdata62323.2024.10826133","authors":["Subhransu Sourav Priyadarshan","Saverio Iacono","Gianni Vercelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T18:31:23Z","doi":"10.1109/bigdata62323.2024.10826133","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.measurement.2023.113905","name":"A digital Twin-based bi-directional deduction method for the full-pose of the Floating connection mechanism","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measurement.2023.113905","authors":["Suhua Li","Jiacheng Xie","Xuewen Wang","Zhenhuai Mei","Ning Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-22T04:01:37Z","doi":"10.1016/j.measurement.2023.113905","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.26654/iagc.2024.11.4.405","name":"Smart Museum Model Based on Digital Twin Platform","source":"crossref","abstract":"","url":"https://doi.org/10.26654/iagc.2024.11.4.405","authors":["Jongdal Park"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-08T08:58:15Z","doi":"10.26654/iagc.2024.11.4.405","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781119842316.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.fmatter","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-031-54118-6_17","name":"Digital Twin for Urban Development","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-54118-6_17","authors":["Angela Martone","Monica Buonocore"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-29T11:02:12Z","doi":"10.1007/978-3-031-54118-6_17","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iccre61448.2024.10589845","name":"Design and Integration of IoRT-Enabled Robotic Systems with Wearable Devices in a Digital Twin Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccre61448.2024.10589845","authors":["Chanda Rajurkar","Bala Murugan","Ganesh Pandian Namasivayam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-16T17:19:44Z","doi":"10.1109/iccre61448.2024.10589845","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/9781394474486.refs","name":"References","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.refs","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.refs","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00024-2","name":"Digital twin technology for enhancing school operations efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00024-2","authors":["Wei Ni","Sai Zou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00024-2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1109/iros58592.2024.10802333","name":"Real-time Hazard Prediction in Connected Autonomous Vehicles: A Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iros58592.2024.10802333","authors":["Sergio Barroso","Noé Zapata","Gerardo Pérez","Pablo Bustos","Pedro Núñez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-25T19:17:39Z","doi":"10.1109/iros58592.2024.10802333","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/metacom62920.2024.00058","name":"LAB-CNN: LoD-specific Attention-based Branch Convolutional Neural Network for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metacom62920.2024.00058","authors":["Ji-Wan Kim","Kyu-Sik Kim","Hyun-Suk Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-06T18:37:26Z","doi":"10.1109/metacom62920.2024.00058","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/smartiot62235.2024.00031","name":"Real-Scene 3D Urban Elements Modeling for Digital Twin City Construction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartiot62235.2024.00031","authors":["Yuejin Li","Jian Yang","Yuan Li","Xitong Li","Zicheng Qin","Yu Guan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-17T19:07:41Z","doi":"10.1109/smartiot62235.2024.00031","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1051/bioconf/20248303004","name":"Features of development of an agricultural warehouse digital twin","source":"crossref","abstract":"The article presents the main results of the development of simulation model of agricultural warehouse. Such a model is a digital twin of the real object that reflects all qualitative and quantitative characteristics of objects and included processes. The creation of such digital twin is necessary to assess the effectiveness of the organization of storage, packing, loading and unloading of agricultural products. The relevance of the research lies in the specificity of realization of the above processes due to their intensity depending on the season, microclimatic conditions of the premises, fragility, and short life of products. As a result of using the methods of structural analysis, simulation modeling and graphical method, all key objects and processes of the subject area are established and characterized, behavioral models and three-dimensional visualization of the simulation model are developed.","url":"https://doi.org/10.1051/bioconf/20248303004","authors":["Irina Nikolaevna Krasnikova","Vladimir Lvovich Simonov","Aleksander Evgenievich Petelin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T08:52:44Z","doi":"10.1051/bioconf/20248303004","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1021/acsami.5c20316.s001","name":"Raman Digital Twin of Monolayer Janus Transition Metal Dichalcogenides","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsami.5c20316.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-25T05:30:11Z","doi":"10.1021/acsami.5c20316.s001","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s11612-024-00741-9","name":"Twin transition in practice","source":"crossref","abstract":"Abstract This article in the journal “Gruppe. Interaktion. Organisation (GIO)” addresses the twin transition—the simultaneous transition to a more sustainable and digitalized society—in organizations and asks how using digital technologies can promote employee green behavior (EGB). Since EGB in an intra-organizational context is often based on psychological ownership (PO) and perceived organizational support for the environment (POSE), we argue that using digital technologies can promote EGB indirectly via fostering PO and POSE. In this respect, we identify the essential features that digital technologies must possess to advance the two mediating constructs introduced and argue that the relation between digital technologies, PO, and POSE is moderated by technology acceptance. As a result, we provide a theory-based framework on the link between EGB and digital technologies, identify key characteristics digital technologies should possess to (indirectly) promote EGB, and derive practical recommendations for organizations and decision-makers to improve organizational sustainability and promote the twin transition in practice.","url":"https://doi.org/10.1007/s11612-024-00741-9","authors":["Jasmina Veit","Ronny Ehlen","Ulrike Fasbender","Siegmar Otto","Caroline Ruiner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-15T10:02:57Z","doi":"10.1007/s11612-024-00741-9","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/c2024-0-01681-5","name":"Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2024-0-01681-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:36:46Z","doi":"10.1016/c2024-0-01681-5","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1680/dtsc.66007.021","name":"Practical challenges for city digital twin (CDT) development","source":"crossref","abstract":"","url":"https://doi.org/10.1680/dtsc.66007.021","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T06:52:03Z","doi":"10.1680/dtsc.66007.021","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-030-81815-9_2","name":"Sensor Electronics for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-81815-9_2","authors":["Surjya Kanta Pal","Debasish Mishra","Arpan Pal","Samik Dutta","Debashish Chakravarty","Srikanta Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-12T12:05:18Z","doi":"10.1007/978-3-030-81815-9_2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/synergymed62435.2024.10799383","name":"Fault Detection and Classification Methodology for Photovoltaic Systems Through AI-based Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/synergymed62435.2024.10799383","authors":["Despoina Kothona","Asterios Kouliousis","Georgios C. Christoforidis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-19T19:17:32Z","doi":"10.1109/synergymed62435.2024.10799383","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/ispa63168.2024.00089","name":"A-MADDPG Based Partial Offloading in Digital Twin Edge Network (DITEN) Empowered IIoT","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispa63168.2024.00089","authors":["Lingling Liao","Ming Tao","Renping Xie","Chengxian Zhuang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-20T20:05:50Z","doi":"10.1109/ispa63168.2024.00089","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1007/s00170-024-14538-z","name":"Digital twin-driven lifecycle management for motorized spindle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-024-14538-z","authors":["Kaiguo Fan","Jiahui Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-29T20:01:25Z","doi":"10.1007/s00170-024-14538-z","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/vtc2024-fall63153.2024.10757947","name":"A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757947","authors":["Lorenzo Cazzella","Francesco Linsalata","Maurizio Magarini","Matteo Matteucci","Umberto Spagnolini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-10T19:44:30Z","doi":"10.1109/vtc2024-fall63153.2024.10757947","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.procs.2024.01.107","name":"Digital twin architecture for assembly line performance monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.01.107","authors":["Andrea Bonci","Alessandro Di Biase","M. Cristina Giannini","Sauro Longhi","Mariorosario Prist"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T23:14:56Z","doi":"10.1016/j.procs.2024.01.107","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/indin58382.2024.10774436","name":"Product Digital Twin Supporting End-of-life Phase of Electric Vehicle Batteries Utilizing Product-Process-Resource Asset Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin58382.2024.10774436","authors":["Sára Strakošová","Petr Novák","Petr Kadera"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:05:07Z","doi":"10.1109/indin58382.2024.10774436","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.enbuild.2024.114567","name":"Digital twin for decarbonizing operating buildings: A systematic review and implementation framework development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.enbuild.2024.114567","authors":["Chukwuka Christian Ohueri","Md. Asrul Nasid Masrom","Taki Eddine Seghier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T12:43:32Z","doi":"10.1016/j.enbuild.2024.114567","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/app16157655","name":"SCADA Digital Twin and Cryptographic AMI Cyber-Twin for Smart Grid Security","source":"crossref","abstract":"Smart grids increasingly depend on tightly coupled Supervisory Control and Data Acquisition (SCADA) and Advanced Metering Infrastructure (AMI) infrastructures to enable real-time monitoring, control, and data-driven energy management. Yet, the growing connectivity of 5G/6G-enabled systems expands the cyberattack surface and intensifies risks of SCADA component disruption and AMI data leakage. This study proposes a dual-twin framework (SCADA Digital-Twin with AMI Cyber-Twin) that improves both SCADA vulnerability intelligence and secure AMI-based energy forecasting. We propose a new algorithm that adopts the Directed Graph (DiGraph) Digital Twin mechanism with Label-encoded Shallow Machine Learning (DDT-LE-SML) to localize cyberattack-induced vulnerabilities and support attack classification in the AMI of the SCADA system. The proposed DDT-LE-SML algorithm works with Long-Short-Term-Memory (LSTM)-based FedAggSum-PredDF and Cyber-Twin Fernet-AES-HMAC strategy. Each physical smart meter is mirrored by a virtual Cyber-Twin node to enable encrypted handling of prediction data and privacy-preserving aggregation of distributed energy load forecasts. Experimental evaluation demonstrates higher overall accuracy ≈ (98%) and stable, encrypted distributed forecasting across the Cyber-Twin node, demonstrating stable encrypted distributed forecasting across Cyber-Twin nodes while enabling effective SCADA vulnerability localization. The proposed framework therefore supports risk-aware monitoring and privacy-preserving energy intelligence in next-generation smart-grid environments.","url":"https://doi.org/10.3390/app16157655","authors":["S. Rayhan Kabir","Mohammad Kamrul Hasan","Tanja Pavleska","Salwani Abdullah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-03T14:16:27Z","doi":"10.3390/app16157655","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1145/3671151.3671300","name":"Design Scheme of Railway Construction Drawings Automatic Generation Platform driven by Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3671151.3671300","authors":["Chuang Li","Qiang Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-23T12:43:41Z","doi":"10.1145/3671151.3671300","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icc51166.2024.10622507","name":"Digital Twin-Assisted Adaptive Preloading for Short Video Streaming","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622507","authors":["Shengbo Liu","Wen Wu","Shaofeng Li","Tom H. Luan","Ning Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T15:34:42Z","doi":"10.1109/icc51166.2024.10622507","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00030-6","name":"Digital twin-based reference architecture for smart greenhouses","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00030-6","authors":["Gürkan Soykan","Önder Babur","Qingzhi Liu","Bedir Tekinerdogan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00030-6","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/9781394474486.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.index","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.index","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1515/9783110778861-004","name":"Chapter 4 Digital Twin and IoT","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-004","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-004","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1007/978-3-031-21343-4_10","name":"Data and Data Management in the Context of Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_10","authors":["Tiziana Margaria","Stephen Ryan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_10","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/b978-0-12-823913-1.00004-x","name":"Foot digital twin and in silico clinical applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-823913-1.00004-x","authors":["Enrique Morales Orcajo","Andrea Stenti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T13:02:51Z","doi":"10.1016/b978-0-12-823913-1.00004-x","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1109/icit58233.2024.10540741","name":"Digital Twin-Driven Smart Transportation Infrastructure: Connotation, Reference Model, Applications and Research Issues","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icit58233.2024.10540741","authors":["Yizeng Wang","Zhimian Chen","Chengwei Zhang","Hao Hu","Zhipeng Zhang","Mingchang Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-05T17:38:41Z","doi":"10.1109/icit58233.2024.10540741","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1088/1742-6596/2868/1/012019","name":"Digital Twin Model Study of Piping Acoustic Induced Vibration Risk","source":"crossref","abstract":"Abstract The research and calibration of digital twin models are crucial for developing an intelligent monitoring system for pipeline acoustic induced vibration. This study addresses the rapid assessment of acoustic induced vibration risks during the design stage using a digital twin model. First, the likelihood of failure (LOF) due to acoustic induced vibration was calculated based on EI guideline, providing a quantitative risk assessment. Concurrently, numerical simulations were conducted to validate these results. The findings show a high consistency between the two methods, indicating their complementary and validating roles. Therefore, the integrated use of methods based on EI guidelines and numerical simulation provides robust technical support for early-stage assessment of acoustic induced vibration risk in pipeline design, enhancing both accuracy and reliability of the evaluation, and laying a solid foundation for pipeline design and safety assurance.","url":"https://doi.org/10.1088/1742-6596/2868/1/012019","authors":["Qi Li","Mengfu He","Manqing Qin","Haibin Lai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-23T09:52:54Z","doi":"10.1088/1742-6596/2868/1/012019","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.jobe.2024.109992","name":"Seismic vulnerability assessment of Venetian façades and artistic assets: Historical Digital Twin approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jobe.2024.109992","authors":["Irene Rocca","Luisa Berto","Giuseppe D'Acunto","Anna Saetta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-20T16:45:14Z","doi":"10.1016/j.jobe.2024.109992","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.56578/esm020401","name":"Digital Twin Applications in Medical Education: A Scoping Review","source":"crossref","abstract":"","url":"https://doi.org/10.56578/esm020401","authors":["Wangxu Yang","Shiyi Shen","Dunchun Yang","Shiyi Yu","Zhiwei Yao","Shihua Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-17T08:39:41Z","doi":"10.56578/esm020401","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5220/0010236101790190","name":"Improving Digital Twin Experience Reports","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010236101790190","authors":["Bentley Oakes","Ali Parsai","Simon Van Mierlo","Serge Demeyer","Joachim Denil","Paul De Meulenaere","Hans Vangheluwe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-02-11T14:18:58Z","doi":"10.5220/0010236101790190","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.20944/preprints202304.0862.v1","name":"Digital Twin Of Shipbuilding Process in Shipyard 4.0","source":"crossref","abstract":"Current trends in industrial development strive for maximum digitalization. The digital industrial revolution has been going on for more than a dozen years, Industry 4.0 and the idea of digital twins (DT) is becoming the focus of virtually all industrial sectors. Some sectors are more predisposed to digitalization, for others the process is much more difficult. This depends mainly on the specific characteristics and susceptibility of a given industry, including the current degree of digitalization of enterprises, as well as the knowledge and mental readiness of employees. The individual characteristics of an industry are important. Shipyards belong to the industry with a traditional approach, where the degree of digitalization remains low. As a result, the efficiency of shipbuilding processes and the quality of ships built are not sufficiently controlled. The article addresses this problem, reviews work in the field of digitalization of shipbuilding processes and points out the needs and challenges in this area. The article proposes the concept of a DT system for the entire ship design and production process. Key areas of digitalization of actual processes were defined, and a division was made into planning, monitoring and process analysis activities. Special attention was paid to the area of dimensional quality control and the Dimensional Quality Management Metasystem (DQMM) was featured in the comprehensive DT system. The requirements were defined and the limitations of the proposed solution were identified, taking into account a number of external factors including the degree of readiness of the manufacturer – the shipyard. The developed DT system concept was tested on the example of the construction process of a simplified ship. Practical aspects of the implementation of the proposed solution, in particular DQMM, were indicated.","url":"https://doi.org/10.20944/preprints202304.0862.v1","authors":["Remigiusz Romuald Iwańkowicz","Radosław Rutkowski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-25T00:52:45Z","doi":"10.20944/preprints202304.0862.v1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-030-18732-3_6","name":"Health Care in the Cyberspace: Medical Cyber-Physical System and Digital Twin Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-18732-3_6","authors":["Jaime Ibarra Jimenez","Hamid Jahankhani","Stefan Kendzierskyj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-07-22T02:02:38Z","doi":"10.1007/978-3-030-18732-3_6","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.37544/1436-4980-2019-09-53","name":"Digitaler Produktionszwilling im industriellen Werkzeugbau*/Digital production twin in industrial toolmaking – Optimization of Change Request Management through the digital production twin in toolmaking","source":"crossref","abstract":"Der Werkzeugbau beeinflusst als Befähiger der Serienproduktion dessen Leistungsfähigkeit und Geschwindigkeit maßgeblich. Die immer kürzer werdende Time-to-Market hat zur Folge, dass Werkzeugbaubetriebe im Rahmen ihrer Leistungserstellung zu jedem Zeitpunkt durch den Kunden induzierte Change Requests antizipieren und beherrschen müssen. Die Realisierung eines digitalen Produktionszwillings birgt das Potenzial, datenbasierte Entscheidungsunterstützung zur Optimierung des Change Request Managements einzusetzen. &amp;nbsp; As the enabler of series production, toolmaking has a decisive influence on its performance and speed, with the required time-to-market continuously decreasing. As a result, toolmaking companies must anticipate and master change requests induced by the customer at all times as part of their service provision. The realization of a digital production twin has the potential to use data-based decision support to optimize change request management.","url":"https://doi.org/10.37544/1436-4980-2019-09-53","authors":["G. Schuh","C. Kelzenberg","J. Wiese","N. Kessler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-29T06:39:44Z","doi":"10.37544/1436-4980-2019-09-53","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.47330/cbc.2021.ehqj3688","name":"Community Ownership and the Infrastructure Investment Gap","source":"crossref","abstract":"We stand on the brink of humanity’s most fundamental transformation to the built environment since the beginning of time. In communities around the world, existing governmental funds cover only a fraction of the cost needed to develop critical infrastructure, with local leaders given limited means and flexibility to adequately address deteriorating services to their communities. As a result, public-private partnerships have become key to addressing sub-national and municipal infrastructure challenges. In authoritarian political systems, centralized planning has expedited reform processes to provide long-term support to infrastructure investments; meanwhile, democratic societies have lagged behind as complex checks and balances continue to impede decision-making, capital allocation, and the transfer of knowledge in critical infrastructure development.","url":"https://doi.org/10.47330/cbc.2021.ehqj3688","authors":["Aktham Dabbas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-08T08:48:09Z","doi":"10.47330/cbc.2021.ehqj3688","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00030-3","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00030-3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:50:00Z","doi":"10.1016/b978-0-443-30076-9.00030-3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.5194/egusphere-egu26-1580","name":"Enhancement Digital Twin Application for Disaster Management by UNOOSA/UN-SPIDER","source":"crossref","abstract":"This presentation details the \"Enhancement Digital Twin Application\" initiative led by the United Nations Office for Outer Space Affairs (UNOOSA) and UN-SPIDER. Designed to support the United Nations' \"Early Warnings for All\" (EW4All) agenda, this project leverages cutting-edge space technologies to bolster disaster resilience in Small Island Developing States (SIDS). A primary challenge in the Pacific region is the significant \"data gap\" - specifically the lack of building footprints that include height information, which is critical for accurate disaster modeling. While global datasets exist, they often lack vertical data, and regional initiatives like PCRAFI have limited coverage. To bridge this gap, this project utilizes 30cm high-resolution satellite imagery combined with Deep Learning AI models to construct cost-effective 3D Digital Twins. The methodology employs advanced techniques, including NeRF and Gaussian Splatting, to generate models ranging from LOD1 (for GIS analysis) to LOD3 (for high-fidelity visualization). The core of the presentation focuses on the \"Tonga Disaster Preparedness Platform,\" a pilot project implemented in 2024. This platform integrates these 3D geospatial models with real-time environmental data from IoT rain gauges and water-level sensors installed on the ground. This fusion enables precise, real-time simulations of sea-level rise and flood scenarios. A key innovation is the system's ability to optimize evacuation routes dynamically; by analyzing real-time flood depth data, the digital twin can identify safe passage corridors and update evacuation directions instantly, a capability that static hazard maps cannot provide. Finally, the presentation outlines the roadmap for expanding these capabilities to the Cook Islands and the Republic of Palau. It demonstrates how satellite-derived digital twins can revolutionize the entire Disaster Risk Management (DRM) cycle - spanning prevention, mitigation, response, and recovery - providing a scalable, data-driven framework for climate adaptation in vulnerable \"big ocean\" states.","url":"https://doi.org/10.5194/egusphere-egu26-1580","authors":["Jumpei Takami"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T19:50:41Z","doi":"10.5194/egusphere-egu26-1580","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-030-81815-9_3","name":"Signal Processing for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-81815-9_3","authors":["Surjya Kanta Pal","Debasish Mishra","Arpan Pal","Samik Dutta","Debashish Chakravarty","Srikanta Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-12T12:05:18Z","doi":"10.1007/978-3-030-81815-9_3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1145/3677454.3677457","name":"Digital twin approach for machining with robotic manipulator","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3677454.3677457","authors":["Van Le","Xuanyu Mao","Minh Tran","Songlin Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-09T12:20:53Z","doi":"10.1145/3677454.3677457","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1007/978-3-030-02203-7_4","name":"Modelling of Machining Processes","source":"crossref","abstract":"Abstract The Twin-Control product takes a holistic approach to modelling and simulation of machining processes, incorporating machine controller, machine structure, part program, part geometry, and process forces and dynamics into a single system. The focus of this chapter is on the process models used to simulate cutting forces, torques, form error, and tool dynamics throughout a part program. These predictions provide process planners with valuable information about an operation before it is executed on machine, allowing for potential issues to be identified and reduced or eliminated before the first part is produced.","url":"https://doi.org/10.1007/978-3-030-02203-7_4","authors":["Luke Berglind","Erdem Ozturk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.53829/ntr202003fa1","name":"A Digital World of Humans and Society--Digital Twin Computing","source":"crossref","abstract":"","url":"https://doi.org/10.53829/ntr202003fa1","authors":["Ryutaro Kawamura"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-14T22:14:04Z","doi":"10.53829/ntr202003fa1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/9781394354047.ch15","name":"Summary and Outlook of Hardware‐in‐Loop Digital Twin Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394354047.ch15","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T21:31:16Z","doi":"10.1002/9781394354047.ch15","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1002/9781394411337.ch8","name":"6G‐enabled Digital Twin for Smart Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch8","authors":["Prashant WAKHARE","Pritesh PATIL","Anuradha Amar BAKARE","Rajshri NIKAM","Vipan KUMAR","Yamini SOOD","Utku KOSE"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch8","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1201/9781003510338-5","name":"Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003510338-5","authors":["Anjanabhargavi Kulkarni","V.B. Joshi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-04T05:32:48Z","doi":"10.1201/9781003510338-5","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.22215/etd/2023-15781","name":"An Analysis of the National Digital Twin Programme in the United Kingdom","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2023-15781","authors":["Julie Yanka Ivanoff"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-30T15:17:06Z","doi":"10.22215/etd/2023-15781","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/978-3-030-81815-9_4","name":"Image Processing for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-81815-9_4","authors":["Surjya Kanta Pal","Debasish Mishra","Arpan Pal","Samik Dutta","Debashish Chakravarty","Srikanta Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-12T12:05:18Z","doi":"10.1007/978-3-030-81815-9_4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.5220/0013520700003944","name":"Towards a Digital Twin of the Cardiovascular System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013520700003944","authors":["Ciro Nespolino","Roberta De Fazio","Laura Verde","Stefano Marrone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-10T21:17:36Z","doi":"10.5220/0013520700003944","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1515/9783110778861-010","name":"Chapter 10 Implementation of Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-010","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-010","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.2478/emj-2024-0020","name":"Digital Twin-Based Alternate Ego Modeling and Simulation: Eva Herzigová as a 3D MetaHuman Avatar","source":"crossref","abstract":"Abstract Due to Dimension Studios and Unsigned Group, by likeness and movement digitization, the human supermodel Eva Herzigová’s highly realistic metahuman and 3D digital twin lead to perpetual career extension (e.g., on virtual runway shows by catwalk replication or in advertising campaigns by particular pose adoption), including in virtual worlds such as metaverse spaces, by use of extended reality technologies, in terms of virtual clothing, digital hair, skin texture, facial and body expressions, and makeup styling as avatar appearance and persona. In this paper, we show how, by likeness capturing (e.g., signature walk by motion capture shoot for face and body movement tracking) and virtual clothing, Eva Herzigová’s hyperreal 3D avatar (lifelike 3D digital human clone or realistic virtual human) is configured with subsequent restyled hair and make-up, 3D clothing modeling, and extended reality fashion shows on virtual catwalks or campaign shoots. We clarify that photographic reference materials and a sensor-based motion capture suit assisted Metahuman Creator in capturing facial and motion data for Eva Herzigová’s digital avatar, configuring realistic depiction and virtual activations of beauty standards, in addition to digital likeness, signature style, talent representation, and narrations, typifying digital human creation and presence in virtual worlds (e.g., for metaverse-based shoots). We conclude that Eva Herzigová’s hyperrealistic 3D digital human twin and MetaHuman avatar operate as a styled virtual alter ego and versatile personal brand extension by motion capture technologies for immersive virtual fashion shows, live video streams and broadcast, and digital wearable modeling.","url":"https://doi.org/10.2478/emj-2024-0020","authors":["George Lăzăroiu","Tom Gedeon","Danuta Szpilko","Katarzyna Halicka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-01T09:56:15Z","doi":"10.2478/emj-2024-0020","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00021-4","name":"Digital twins for allergies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00021-4","authors":["Kamran Gholizadeh HamlAbadi","Monireh Vahdati","Ali Mohammad Saghiri","Kimia Gholizadeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:38:04Z","doi":"10.1016/b978-0-32-399163-6.00021-4","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2139/ssrn.4459204","name":"Digital Twin Technology: Enhancing Efficiency and Decision-Making in Industry 4.0","source":"crossref","abstract":"The emergence of Industry 4.0 has transformed traditional manufacturing processes, enabling the integration of digital technologies to enhance efficiency and decision-making. Digital twin technology has emerged as a key enabler in this transformation, providing a virtual representation of physical assets and processes. This paper presents a comprehensive review of digital twin technology, its applications, and its impact on industry sectors. We explore the benefits of digital twins in optimizing production, improving maintenance and service operations, and enhancing decision-making through real-time data analytics. Additionally, we discuss the challenges and future research directions in the adoption and implementation of digital twin technology. Overall, digital twin technology has the potential to revolutionize industries, enabling them to achieve higher efficiency, productivity, and competitiveness in the era of Industry 4.0.","url":"https://doi.org/10.2139/ssrn.4459204","authors":["S. Das"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-30T12:51:17Z","doi":"10.2139/ssrn.4459204","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s00502-023-01156-y","name":"Realistic sensor simulations for the digital twin","source":"crossref","abstract":"Abstract Digital twins use actual sensor data to replicate the current state of a plant in a virtual model. They can be used to evaluate the current state, predict future behavior, and thus allow to refine control or optimize operation, enable predictive maintenance as well as detection of anomalies and failures. The model of a digital twin includes models of the components, behaviors and dynamics of a system. With the ability to simulate real scenarios, such models can therefore also be used before a plant is actually implemented, e.g., to predict the actual performance, identify potential issues for the implementation and to develop optimal operation strategy and algorithms. Furthermore, interfaces may be defined, implemented, and tested with such models allowing fast and easy commissioning of the physical implementation. Accurate digital twins therefore also need to include realistic sensor models, considering adverse effects that impact their output signals. The proposed work presents approaches for accurate sensor simulations allowing researchers and industries to assess sensor performance, optimize algorithms, and evaluate system-level integration. We address Frequency Modulated Continuous Wave (FMCW) radar sensors and time-of-flight cameras as examples for far-field sensors and capacitive sensors as an example for near-field sensors. The approaches can be transferred to other sensors, e.g., ultrasound sensors, LiDAR sensors and inductive or magnetic sensors so that a wide range of industrial sensors can be covered. The proposed simulations are benchmarked with different tests, including real-world experiments and compared with the corresponding real sensors.","url":"https://doi.org/10.1007/s00502-023-01156-y","authors":["Barnaba Ubezio","Serkan Ergun","Hubert Zangl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-25T10:01:46Z","doi":"10.1007/s00502-023-01156-y","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1109/access.2021.3115055","name":"5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2021.3115055","authors":["Sebastian Richard Newrzella","David W. Franklin","Sultan Haider"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T20:03:29Z","doi":"10.1109/access.2021.3115055","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1515/9783110778861-003","name":"Chapter 3 Modelling of Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-003","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-003","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.5194/ems2025-513","name":"Digital-twin versus statistical PV modeling: The role of meteorological uncertainty","source":"crossref","abstract":"PV plant metadata has steadily improved in Germany, including module coordinates, orientations, and inverter limits, as well as data on self-consumption and storage. With this information, it is possible to make increasingly granular predictions of regional PV and model more and more plant characteristics deterministically instead of statistically. In the long term, the goal of Redispatch 2.0 in Germany envisions a fully dynamic power management of millions of individual plants to minimize bottlenecks in a landscape of renewables. Such digital twinning however makes certain assumptions about the accuracy and resolution of meteorological observations and forecasts. Assuming a plant has a specific angle at a specific location, for example, makes it more sensitive to the solar position and meteorological uncertainty than when its capacity is dispersed over a distribution of possible angles or over an area more representative of the meteorological variability.This study explores this contradiction, that more deterministically detailed metadata can lead to less deterministically accurate PV estimates. Two regional PV models with the same underlying physics are compared, one a postal-code-based probabilistic model and another a full digital twin of Germany. Despite the plant-specific details in the digital twin, it performs worse than the statistical model against German meter data. We investigate the differences by modifying the available metadata and plant dispersion in the systems. Moreover, the experiments probe the role of meteorological variability by comparing both numerical weather predictions and satellite data and by artificially reducing the resolution of satellite observations. Lastly, the forecasting systems estimate not only PV production but also model self-consumption and storage reductions to grid feed-in. These very nonlinear aspects are particularly interesting in the context of averaging the local variability.The results suggest that the benefits of digital twinning can first be realized if the meteorological resolution and uncertainty can match the specificity of the assumed plant characteristics. Otherwise, the PV installations can only be treated deterministically if the meteorological data is probabilistic, which is computationally expensive for digital twins. This probabilistic treatment is feasible with the physics-based model presented here, but poses intense technical and computational challenges to future, data-driven digital twins and redispatch.","url":"https://doi.org/10.5194/ems2025-513","authors":["Garrett Good"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-30T10:05:34Z","doi":"10.5194/ems2025-513","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.32657/10356/205531","name":"Towards intelligent operations of carbon-neutral data centers: a cognitive digital twin approach","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/205531","authors":["Zhiwei Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-02T06:35:19Z","doi":"10.32657/10356/205531","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2118/216747-ms","name":"Robust Digital Twin Approach Towards Operational Excellence and Sustainability Goals","source":"crossref","abstract":"Abstract The objective of this paper is to provide new insights and best practices towards the digital twin concepts, particularly in the oil and gas sector and the potential benefits towards achieving the operational excellence and sustainability goals. By using the digital twin technology for asset management, reservoir management, process optimization and training and simulation, the operating companies not only improve efficiency, reduce costs, and achieve operational excellence, more importantly it can also optimize the operations and reduce GHG emissions. The digital twin concept helps in creating a digital replica of the physical assets and the associated processes. This technology can transform the way the oil and gas industry operate, enabling to achieve the operations excellence. As every field produces enormous amount of data which comes from sensors and field automation, the same can be leveraged through a digital twin that can support right from the conceptual design and various other phases of a field development capital project till operations and maintenance up to the retirement of the field and its associated assets. This paper looks in detail at the various approaches wherein the operating companies with their digital information and management system at organization level, can augment such Enterprise level digital twin methodologies. It also addresses the various process of Statement of Requirements (SOR), Data sources analysis, Modelling of the digital twins, Scenario analysis, and Implementation and continuous monitoring and improvement. This paper utilizes the various lessons learned and real time scenarios correlated with specific applications in the upstream oil and gas facilities. The results perceived, noticeably identify the importance for adopting the approach in a structured way rather than starting at the random stages while arraying the Digital twin journey. It further scrutinizes the digital twin solution architecture which can fit within the current organization wide enterprise domain, and also the latent and resultant advantages of implementation within premises or in a cloud environment. Another key aspect in this strategy was to develop the requirement standard for the Digital twin at enterprise level for existing assets and new development fields. In addition, it highlights the application specific scenarios which can be considered prototypical in implementation of this technology in the oil and gas industry having the potential to improve operational and sustainability performance and minimize environmental impact. Lastly, it concludes with the accompanying challenges to ensure that the digital twin solution is cyber secure and compliant while integrating with existing / new control systems such as DCS/ICSS and ERP to provide a comprehensive view of the physical entity's performance and to support effective decision-making. The practice of digital twin technology in the oil and gas industry is a relatively innovative area of research and development, and there is still much to be learned about how to effectively implement this technology and leverage it to achieve sustainability goals. While there is some existing literature on the use of digital twin technology, much of this paper has focused on the digital twin solution in a comprehensive platform leveraging machine learning algorithms that can connect with a plenty of data sources to provide real-time visibility into asset performance, enabling them to optimize operations, reduce emissions, and better manage environmental risks.","url":"https://doi.org/10.2118/216747-ms","authors":["R. Sudhakar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-02T00:40:09Z","doi":"10.2118/216747-ms","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2118/211822-ms","name":"Assets Information and Data Management for a Mature Digital Twin","source":"crossref","abstract":"Abstract The Company assets average life span have reached 50 years. Which over such a long period creates challenges in maintaining the information changes during the plant life cycle, the change in terminology, formats, standards, and systems. According to today’s digital twin and operational excellence mandates, it is required to manage and represent the physical asset information. For that, the company implemented state of the art technology, which is intelligent, open and scalable data-model. This technology is based on web ontology, and it defines the formal naming, types, properties, and interrelationships of entities that fundamentally exist to represent the physical asset information during the asset life cycle from concept and design to operate stage. The objective of this paper is to share ADNOC Offshore experience, challenges and the benefits gained by implementing asset information Class Library, and the Reference Data Library as aligned with ISO15926 that is known as Data-Model, which describes the engineering Tags classification networks and ultimately represents the physical assets intelligent data and attributes. The data-model fundamentally is based on entities &amp;gt; relationships &amp;gt; values formula, where entities can lead to various values with unlimited relationships allowing any solution to quickly identify all related data in real-time. The formulas allow automatic extraction and identification of entities to facilitate the recognition and associations. This data management approach depends on Ontologies that are a formal way to describe taxonomies, essentially defining the structure of data, where it can be fully utilized to build the digital assets knowledge. Thus, the solution is designed to be flexible and allow reading from various data sources, which enriched the digital assets information and provided business, operations and integrity values. The challenges came from the rapidly growing Data, the newly engaged young engineers, and the demand for new digital technologies such as artificial intelligence, which is adding another layer of complexity. In the recent years, it has proven that this data model is expandable, agile and able to accommodate both small and large variances from projects and changes in standards into one consolidated master model. This in turn acts as the core of enterprise Digital Twin, which provide end users with a unified experience in accessing engineering and operation data. Ontologies are meant to represent information widely and are expected to be evolving frequently based on technical and business requirements in flexible manner and easy to maintain. Unlike the conventional data-models, which is based on database and class hierarchy representing structured data that evolve slowly with complicated constraints. Whereas, with the implemented data-model we were able to add new data sources and classes instantly to represent information for an operation business case.","url":"https://doi.org/10.2118/211822-ms","authors":["Wael Almadhoun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-31T00:32:55Z","doi":"10.2118/211822-ms","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.12731/ofernio.2025.25471","name":"Цифровой двойник факельной установки","source":"crossref","abstract":"","url":"https://doi.org/10.12731/ofernio.2025.25471","authors":["E.I. Samoylov","R.G. Vildanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-14T16:17:53Z","doi":"10.12731/ofernio.2025.25471","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.34832/elsv.2020.13.12.005","name":"MY DIGITAL TWIN","source":"crossref","abstract":"Предлагается новая, еще не исследованная сфера применения сквозных цифровых технологий виртуальной и дополненной реальности, нейротехнологий и искусственного интеллекта на базе облачных технологий, больших данных, технологий распределенных реестров и квантовых вычислений: создание персонального (ПЦД) и производственного (ПрЦД) цифрового двойника с разнообразным и глубоким самообучаемым функционалом в целях совершенствования жизнедеятельности человека в процессе работы, отдыха, перемещения, конкретных мероприятий и др. Рассмотрены базовые аспекты создания персонального цифрового двойника, области его применения, архитектура и функциональная архитектура платформы ПЦД, типы запросов и сценарии их обработки. Представлен подход к построению аналитических моделей ПЦД в виде графо-матричных моделей, а также к их расчету. Дается прогноз дальнейшего развития направления ПЦД. A new, yet unexplored area of application of cross-cutting digital technologies of virtual and augmented reality, neurotechnologies, and artificial intelligence based on cloud technologies, big data, blockchain, and quantum computing technologies is proposed: the creation of a personal (PDT) and production digital twin (PrDT) with a varied and deep selflearning functionality to improve human life during work, rest, travel, specific activities, etc. The basic aspects of creating a PDT, its applications, architecture, and functional architecture of the PDT platform, types of requests, and scenarios of their processing are considered. An approach to the construction of analytical models of PDT in the form of graph-matrix models, as well as to their calculation is analyzed. A forecast of further development of the PDT applications is given.","url":"https://doi.org/10.34832/elsv.2020.13.12.005","authors":["В.А. ЕФИМУШКИН"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-14T13:15:04Z","doi":"10.34832/elsv.2020.13.12.005","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/978-3-030-95120-7_6","name":"Digital Twin of Building Heating Substation: An Example of a Digital Twin of a Cyber-Physical System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-95120-7_6","authors":["Oleg Yu. Maryasin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-26T17:05:25Z","doi":"10.1007/978-3-030-95120-7_6","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch003","name":"Digital Twins and the Transformation of Corporate Learning Ecosystems","source":"crossref","abstract":"Digital twins are reshaping corporate learning by transforming training from static and episodic instruction into continuous, adaptive, and data-driven learning processes. Through the integration of real-time analytics, simulation, artificial intelligence, and feedback mechanisms, organizations can develop immersive and personalized learning environments aligned with workforce and organizational needs. This chapter examines the conceptual foundations of digital twins in learning, including their relationship with experiential learning, situated learning, and human capital theory, while distinguishing them from conventional simulations and VR/AR technologies. It also explores applications in workforce upskilling, leadership development, competency-based learning, and real-time decision-making. Drawing from recent studies and case-based applications, the chapter highlights how digital twins enhance engagement, knowledge retention, continuous performance feedback, predictive skill development, and scalable workforce training within intelligent corporate learning ecosystems.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch003","authors":["Fahad A. Salendab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch003","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00032-0","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00032-0","authors":["Jane Thomason"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T10:01:27Z","doi":"10.1016/b978-0-443-34226-4.00032-0","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.23860/thesis-clark-austin-2022","name":"AUTOMATED EXTRACTION OF FASTENERS USING DIGITAL TWIN ROBOTICS SOFTWARE AND DCNN VISION SYSTEM","source":"crossref","abstract":"","url":"https://doi.org/10.23860/thesis-clark-austin-2022","authors":["Austin Clark"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-10T16:40:35Z","doi":"10.23860/thesis-clark-austin-2022","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00019-6","name":"Applications of Digital Twins to migraine","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00019-6","authors":["Ali Mohammad Saghiri","Kamran Gholizadeh HamlAbadi","Monireh Vahdati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:38:06Z","doi":"10.1016/b978-0-32-399163-6.00019-6","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2139/ssrn.6568320","name":"Digital Twin Synthetic Dataset for Bearing Fault Diagnosis in Industrial Spindles","source":"crossref","abstract":"This paper proposes a hybrid digital twin framework that couples a real-time physics-based digital twin model with a data-driven diagnostic layer implemented through cloud-based data acquisition and analysis. This framework generates synthetic datasets across multiple speed levels and fault severities for bearing fault detection and classification in industrial spindle systems, where real fault recordings are costly, risky, and difficult to reproduce. Once the system is validated, a two-stage classifier is trained and used for online fault detection and fault-type identification, whereas the deep-sequence model provides offline verification. To improve robustness, training data are enhanced with multi-domain feature enrichment and targeted data augmentation techniques that simulate measurement noise and small operating variations. The resulting models achieved strong performance under previously unseen operating conditions within the validated digital twin envelope. Overall, the proposed approach reduces the dependence on real fault experiments by enabling the risk-reduced development and evaluation of data-driven bearing fault diagnosis.","url":"https://doi.org/10.2139/ssrn.6568320","authors":["Mohsen Zeynivand"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-20T16:16:26Z","doi":"10.2139/ssrn.6568320","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2139/ssrn.5098296","name":"Research on the Bolt-Tightening Process Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5098296","authors":["Yang Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-28T19:33:47Z","doi":"10.2139/ssrn.5098296","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.14264/d1b7753","name":"Tyre Handler Digital Twin (Part A) – Control Modelling of Hydraulic Arms and Grab","source":"crossref","abstract":"","url":"https://doi.org/10.14264/d1b7753","authors":["Liam Suddes"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-28T00:57:23Z","doi":"10.14264/d1b7753","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1002/9781394411320.ch11","name":"Revolutionizing Smart Healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch11","authors":["Prashant WAKHARE","Anagha SHINDE","Navnath B. POKALE","Akanksha GOEL"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch11","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1002/9781394383740.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.fmatter","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.70675/53247eadz13fez4acaz93ebz4668ddcb31c3","name":"Reality Anchor Methodology : Designing a digital twin supporting situation awareness","source":"crossref","abstract":"Méthode des ancres de la réalité : Comment concevoir un jumeau numérique pour supporter la conscience de la situation ? L'industrie 4.0 permet l'optimisation des systèmes complexes par la digitalisation et donc l'acquisition de nouvelles données. Ces nouvelles données, si elles doivent permettre d'améliorer la prise de décision, génèrent également une complexité supplémentaire pour les opérateurs humains qui y sont confrontés. En étudiant le phénomène de la prise de décision humaine, le concept de conscience de la situation apparait comme primordial face à ces systèmes complexes. Pour soutenir la prise de décision, des outils appelés systèmes d'aide à la prise de décision ont été développés. L'importance du rôle de la conscience de la situation dans la prise de décision a engendré, une spécialisation de ces systèmes sous la forme de Systèmes de Soutiens à la Conscience de la Situation (SSCS). Les travaux présentés dans cette thèse s'intéressent à l'opportunité d'utiliser le Jumeau Numérique (JN) du système complexe, concept popularisé ces dernières années dans le cadre des travaux scientifiques autour de l'industrie 4.0, pour en faire un SSCS. Ainsi après avoir proposé une nouvelle définition du concept de JN, basé sur une étude de la littérature scientifique, une étude des composants de ce type de système en relation avec la notion de conscience de la situation a été menée pour en extraire des spécifications de conception. Ensuite, une exploration de la littérature scientifique concernant conjointement la conception des SSCS et les méthodes de conception centrée utilisateur associées a permis de mettre en évidence la nécessité de transmettre des éléments contextuels de la situation à l'utilisateur pour améliorer sa conscience de la situation et donc l'assister dans sa prise de décision. Etant donné (1) la complexité du système à représenter dans le JN et donc la complexité du JN en lui-même et (2) la nécessité d'immerger l'utilisateur pour permettre l'acquisition de la conscience de la situation au travers d'un SSCS, le concept d'ancre de la réalité est proposé pour identifier les éléments de la situation nécessaire à l'utilisateur pour percevoir, comprendre et projeter la situation à laquelle il fait face. Une méthode, appelée Méthode des Ancres de la Réalité (MAR), a été définie pour assurer l'implémentation de ces éléments dans un SSCS.Cette méthode est composée de trois étapes qui visent (1) à définir les ancres de la réalité au travers d'une études des tâches et des activités des opérateurs, (2) à créer un prototype pour la réalisation de test humain-dans-la-boucle et (3) à valider la définition des ancres de la réalité au travers d'une analyse de la conscience de la situation, des retours d'expérience et des activités réalisées lors des test.Cette méthode a été appliquée sur un cas d'étude du domaine pétrolier et a validé l'importance des ancres de la réalité définies pour le processus de prise de décision.","url":"https://doi.org/10.70675/53247eadz13fez4acaz93ebz4668ddcb31c3","authors":["Stélian Camara Dit Pinto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-07T07:25:33Z","doi":"10.70675/53247eadz13fez4acaz93ebz4668ddcb31c3","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4018/978-1-6684-6821-0.ch019","name":"Digital Twin Understanding, Current Progressions, and Future Perspectives","source":"crossref","abstract":"The digital twin is a burgeoning technology that has just recently gained popularity. The term “digital twin” refers to a virtual twin that is put on site with sensors that collect real-time data. Hard real-time embedded operating systems are required for operating systems that enable digital twins, which use real-time data. Digital twin indicates a virtual replica that takes into account both device dynamics and individual component parts. The digital twin's primary dynamic is represented by each and every component or gadget. Regardless of the gadget's physical, internal, or functional aspects, the physical device handles them all. The use of digital twins has grown around the globe. Different technologies, such as IoT, AI, ML, data mining, cloud computing, and others, benefit from this technique. This chapter presented the detailed view of this rapidly expanding field of study along with several digital twins application fields, emerging concerns, and future prospects. Also, this chapter discussed the relation between digital twin and latest technologies such as IoT, AI, etc.","url":"https://doi.org/10.4018/978-1-6684-6821-0.ch019","authors":["Megha Gupta","Nida Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-17T12:13:35Z","doi":"10.4018/978-1-6684-6821-0.ch019","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.5220/0010709000003062","name":"Human Digital Twin in Industry 4.0: Concept and Preliminary Model","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010709000003062","authors":["Yannick Naudet","Alexandre Baudet","Margot Risse"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-02T10:21:34Z","doi":"10.5220/0010709000003062","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1002/9781394411337.ch2","name":"Security Solutions for Smart Cities Using Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch2","authors":["Sulakshana MALWADE","SHIKHA","Mandeep KAUR","Vibhuti REHALIA","Kimmi VERMA","Anupma GUPTA","Mohammad Alamgir HOSSAIN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.5220/0013258400003896","name":"Digital Twin System of Systems: A Layered Architecture Proposal","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013258400003896","authors":["Meriem Smati","Vincent Cheutet","Christophe Danjou","Jannik Laval"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-03T09:49:17Z","doi":"10.5220/0013258400003896","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.21872/2024iise_7731","name":"Using IoT Technologies and Simulation as Building Blocks for a Digital Twin in a Clinical Care Environment.","source":"crossref","abstract":"With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and some applications in services are provided by the scientific community. While the application of DT in healthcare is mainly focused on the digital patient, our research project analyzes the impact of applying DTs for improving healthcare daily operations management. In this research paper, we analyze the impact of using a digital twin in a clinic that provides care and support services to marginalized people suffering from addiction. Following a \"design science\" research approach, we develop (i) an IoT prototype for real-time patient and resource tracking, (ii) a hybrid simulation model to represent clinic's daily operations, and (iii) build our DT prototype. Our IoT Lab is used as a testbed research environment to develop the IoT infrastructure and simulate the implementation of the DT. While the prototype is developed for a specific clinic, the approach can be applied to any other healthcare operational environment where real-time visibility and decision support based on simulation is needed.","url":"https://doi.org/10.21872/2024iise_7731","authors":["M. Antoine Arcand","Yasmina Maizi","Ygal Bendavid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-22T19:01:52Z","doi":"10.21872/2024iise_7731","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1201/9781003507390","name":"Blockchain and Digital Twin Applications in Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390","authors":["Amit Kumar Tyagi","Shrikant Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.69894/20220317","name":"Digital Twin digest","source":"crossref","abstract":"Rockwell explains the fundamentals of digital twins (sort of!). Digital Twin Consortium goes open source with French roastery poster child. Element Analytics K-Graph and the digital twin. Oil IT Journal probes the digital twin’s ancestry.","url":"https://doi.org/10.69894/20220317","authors":["Neil McNaughton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T12:26:06Z","doi":"10.69894/20220317","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.32907/ro-134-3837001121","name":"Digital twin for integration of design, manufacturing, and maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.32907/ro-134-3837001121","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-25T10:32:34Z","doi":"10.32907/ro-134-3837001121","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.23967/wccm-eccomas.2020.074","name":"Autonomous Cooking with Digital Twin Methodology","source":"crossref","abstract":"","url":"https://doi.org/10.23967/wccm-eccomas.2020.074","authors":["M. Kannapinn","M. Schäfer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-22T19:00:08Z","doi":"10.23967/wccm-eccomas.2020.074","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1007/978-3-032-20311-3_11","name":"A Smart Framework for Early Crop Disease Detection Using GIS Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-20311-3_11","authors":["Sudhriti Sengupta","Lavanya Sharma","Laxmi Ahuja"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-13T22:51:13Z","doi":"10.1007/978-3-032-20311-3_11","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1007/978-3-031-50308-5_58","name":"Construction and Application of Digital Twin in Aluminum Electrolysis","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-50308-5_58","authors":["Jiaqi Li","Kejia Qiang","Chunhua Yang","Xiaofang Chen","Jie Li","Hongliang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-03T00:06:36Z","doi":"10.1007/978-3-031-50308-5_58","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.33612/diss.915200362","name":"Governing the use of big data and digital twin technology for sustainable tourism","source":"crossref","abstract":"","url":"https://doi.org/10.33612/diss.915200362","authors":["Eko Rahmadian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-20T14:34:22Z","doi":"10.33612/diss.915200362","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.31979/mti.2026.2537","name":"SMART-TWIN: Systematic Modeling and Real-Time Transportation with Digital Twins","source":"crossref","abstract":"Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the Shaw–Cedar intersection in Fresno, California, using OpenStreetMap data and the SUMO simulation platform. An 11-year synthetic traffic dataset (2020–2030) was generated to emulate realistic traffic patterns over time and support early-stage deployment prior to full sensor availability. Supervised machine learning models were trained to classify operational conditions, including normal traffic, signal failure–induced stop-and-go conditions, and one- and two-lane closures. A Random Forest classifier achieved very high accuracy under controlled experimental conditions. To support operational decision-making, the framework translates detected traffic states into clear, measurable impacts, including estimated congestion buildup and delay-related costs using value-of-time principles. Scenario and sensitivity analyses demonstrate the compounding effects of capacity loss and control failure on congestion growth and user delay, as well as the system’s ability to detect disruptions early and reliably under moderate demand uncertainty. The results show that AI-enhanced Digital Twins can provide actionable insights into traffic conditions and operational impacts prior to full-field deployment. The proposed framework is scalable to larger corridors and networks and is designed for future integration with real-time sensor data and adaptive traffic control strategies. SMART-TWIN provides a practical foundation for next-generation Digital Twin applications that support proactive traffic management and data-driven infrastructure planning to make traveling safer and more efficient for all.","url":"https://doi.org/10.31979/mti.2026.2537","authors":["Hovannes Kulhandjian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T15:48:00Z","doi":"10.31979/mti.2026.2537","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1108/ijcst-01-2024-0017","name":"Development of a dedicated process simulator for the digital twin in apparel manufacturing: a case study","source":"crossref","abstract":"Purpose The purpose of this study is to introduce a dedicated simulator to automatically generate and simulate a balanced apparel assembly line, which is critical to the digital twin concept in apparel manufacturing. Given the low automation level in apparel manufacturing, this is a first step toward the implementation of a smart factory based on cyber-physical systems. Design/methodology/approach The mixed task assignment algorithm was implemented to automatically generate a module-based apparel assembly line in the developed simulator. To validate the developed simulator, a case study was conducted using process analysis data of technical jackets obtained from an apparel manufacturer. The case study included three scenarios: calculating the number of workers, selecting orders based on factory capacity and managing unexpected worker absences. Findings The developed simulator is approximately 97.2% accurate in assigning appropriate tasks to workstations using the mixed task assignment algorithm. The simulator was also found to be effective in supporting decision-making for production planning, order selection and apparel assembly line management. In addition, the module-based line generation algorithm made it easy to modify the assembly line. Originality/value This study contributes a novel approach to address the challenge of low automation levels in apparel manufacturing by introducing a dedicated simulator. This dedicated simulator improves the efficiency of virtual apparel assembly line generation and simulation, which distinguishes it from existing commercial simulation software.","url":"https://doi.org/10.1108/ijcst-01-2024-0017","authors":["Minsuk Kim","Sungmin Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-15T23:26:51Z","doi":"10.1108/ijcst-01-2024-0017","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.18260/1-2--33611","name":"Work in Progress: Enable Digital Thread and Digital Twin Learning Environment for Cybermanufacturing Education","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2--33611","authors":["Zhenhua Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-09-10T02:43:01Z","doi":"10.18260/1-2--33611","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.2514/6.2024-3008","name":"Towards Acoustic Imaging for Digital Twin. Experimental Validation on a Rod-Airfoil Wind Tunnel Test","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3008","authors":["Simon Bouley","Olivier Minck","Lars Erbig","Claudio Colangeli","Raphael Hallez","Jacques Cuenca","Marijn Sanders"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T23:51:36Z","doi":"10.2514/6.2024-3008","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.2139/ssrn.4804524","name":"Digital Twin Transient Temperature Field of Wet Friction Components Based on the Hybrid Model Optimizing Dynamic Parameters","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4804524","authors":["Jianpeng Wu","Jian Yang","Jiahao Cui","Wenya Shu","Liyong Wang","Heyan Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T14:47:20Z","doi":"10.2139/ssrn.4804524","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.18690/um.fov.4.2024.54","name":"Comparative Analysis of the Personal Bankruptcy Model and Their Effects in the Legal Orders in Slovenia and Croatia","source":"crossref","abstract":"Personal bankruptcy is a procedure in which a natural person who is over-indebted or insolvent is helped by paying off the debts with his or her own assets. It is an institution that is changing and is increasingly being used by people in situations of over-indebtedness. In practice, it has become popular because debtors seek to obtain a discharge of their liabilities by concealing their assets, thereby failing to achieve the essential objective of personal insolvency - the equal and simultaneous repayment of creditors. The following analysis focuses on the differences and similarities between the Slovenian and the Croatian legal systems in the area of personal bankruptcy and the legal solutions offered by both legal systems. Particular attention is paid to a comparative legal analysis of statistical data showing the importance of personal bankruptcy over selected years. The analysis also addresses a peculiarity of the Croatian legal system - \"simple\" consumer bankruptcy, which is not known in the Slovenian legal order, and critically assesses the obstacles and dilemmas that arise in practice.","url":"https://doi.org/10.18690/um.fov.4.2024.54","authors":["Rea Šaina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.54","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.2139/ssrn.4913386","name":"Study on Finite Element Reduced Order Modelling Method of Xlpe Cable Temperature Field for Digital Twin Application","source":"crossref","abstract":"The current-carrying capacity is an important parameter characterizing the amount of load current that a running power cable can carry. At present, the theoretical value of the current-carrying capacity calculated in accordance with the IEC standard has a large error, which leads to the risk of long-term overloading of cables, and becomes the main cause of major casualties, such as failure of the body insulation and channel fires. Therefore, accurate assessment of load capacity has become the focus of cable operation and maintenance work. Digital twin technology, as an intelligent operation and maintenance technology, has also become an effective means to reduce the fault rate of cable operation. The use of model downscaling methods to improve computational efficiency and achieve fast real-time simulation is an inevitable requirement for digital twins. In this paper, we use finite element simulation to construct a Multiphysical field coupling model of XLPE cable, and investigate the effects of load current, ambient temperature, air convection heat transfer coefficient and XLPE insulation thermal conductivity on the temperature field distribution of the cable. To this end, a fast-computational method for digital twin modelling of XLPE cables based on peoper orthogonal decomposition and back-propagation neural networks is proposed. The peoper orthogonal decomposition method can effectively extract the main information of the temperature field of the cable, and the principal components of the processed matrix are extracted by matrix singular value decomposition, which can reach 0.998 when three principal components are obtained by matrix singular value decomposition, which basically contains all the physical information of the model. The computation time using the third-order model downscaling method is 69 times that of the finite element. Finally, after the experimental verification of the temperature rise of XLPE cable, it proves that the POD-BPNN calculation accuracy and calculation time can meet the requirements of digital twin. An online parameter correction algorithm based on adaptive particle swarm optimization is designed to realize the online autonomous correction of digital twin model parameters.","url":"https://doi.org/10.2139/ssrn.4913386","authors":["Xingang Chen","Haoran Wang","Shiyao Tan","Zhixian Zhang","Song Li","Zhipeng Ma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T17:17:24Z","doi":"10.2139/ssrn.4913386","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.12688/digitaltwin.17930.2","name":"Digital twinning of temperature fields for modular multilayer multiphase pipeline structures","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17930.2","authors":["Wenlan Wei","Maliang Wang","Jiarui Cheng","Yue Hu","Yuqiang Li","Jie Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-20T10:46:06Z","doi":"10.12688/digitaltwin.17930.2","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.5220/0013239900003896","name":"Towards a Classification Framework for the Digital Twin Tools: A Taxonomy","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013239900003896","authors":["Mert Ozkaya","Alper Turunc"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-03T09:49:17Z","doi":"10.5220/0013239900003896","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.54941/ahfe1005732","name":"An Evaluation of Capabilities, Benefits, and Challenges of Developing Digital Twin Models for Sustainable Development","source":"crossref","abstract":"Since the recent AECO industry has increasingly focused on sustainable development, with an emphasis on achieving long-term goals like enhancing eco-sustainability and durability, the demand for applying digital and revolutionary technologies has increased. Digital twin technology, enabling a digital model to represent a physical entity in real-time dynamically, has gained wide attention in manufacturing, aerospace, and healthcare. Although digital twin technology, which integrates with various digital technical tools, has been explored by some researchers, The overall understanding of how digital twin technology can be applied to sustainable construction is still unclear. This knowledge gap leads to unnecessary difficulty and hinders the full realization of digital twin capacities in sustainable development. This research conducts a literature review to examine the current state of digital twins and related technologies in the AECO industry, aiming to bridge this gap. A variety of technologies, tools, and algorithms employed in the applications of digital twin technology have been analyzed. The results present the four major processes of establishing digital twin models for sustainable development: data harvesting, data transmission and processing, modeling and simulation, and decision-making process. Additionally, four distinct scenarios within the decision-making process relevant to sustainable construction are specified. Furthermore, the digital twins' capabilities, benefits, and challenges have been evaluated. Although digital twin models cooperating with extensive technologies have capabilities and benefits in terms of modeling and visualization, real-time simulation and monitoring, data integration and analysis, and making predictive decisions in optimization, challenges still exist and need to be addressed in future applications. This review highlights the challenges of digital twin technology, including data security, data integration, and interoperability, which provides future research directions for digital twin studies.","url":"https://doi.org/10.54941/ahfe1005732","authors":["Congjun Jin","Rui Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-07T23:44:08Z","doi":"10.54941/ahfe1005732","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.2139/ssrn.4902723","name":"Turbocharged Engine In-Cylinder Pressure Modeling Based on Building Physical-Based and Data-Driven Fusion Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4902723","authors":["Yingyuan Wang","Xiang Xue","Yuanding Wang","Ruiping Zhang","WenPing Xie","Kangyao Deng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-23T12:21:50Z","doi":"10.2139/ssrn.4902723","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1002/we.2912/v1/review1","name":"Review for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v1/review1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1109/iseeie62461.2024.00034","name":"Digital Twin Approach for Three-phase Interleaved Parallel Buck Converters Based on Improved PSO","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iseeie62461.2024.00034","authors":["Guihua Liu","Jianping Jiang","Huanyu Yang","Yuan Gao","Xinyu Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-02T18:36:28Z","doi":"10.1109/iseeie62461.2024.00034","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/icdscnc62492.2024.10939345","name":"Enhancing Intrusion Detection Systems with Digital Twin Technology for Cyber-Physical Security","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdscnc62492.2024.10939345","authors":["S. P. Santhoshkumar","P. Sakthivel","A. Seetha","Manikandan R","Mukesh Soni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T17:44:48Z","doi":"10.1109/icdscnc62492.2024.10939345","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.3390/app14093896","name":"Virtual Simulation Design and Debugging of Lift-and-Transverse Stereo Garage Based on the Digital Twin","source":"crossref","abstract":"In the face of the challenges of limited urban space and the continuous increase of vehicles, stereo garages have been widely used as a solution in cities. In order to improve the automation and intelligence level of the stereo garage, this paper applies the digital twin technology to the lift-and-transverse stereo garage. A five-dimensional model of a digital twin has been developed based on an actual stereo garage. Combined with S7-PLCSIM Advanced, Botu TIA Portal, and NX MCD to build a virtual simulation platform, realizing the virtual simulation design and debugging of the digital twin-based stereo garage. This approach allows to test and optimize operational processes without relying on physical equipment, reducing labor and field debugging costs, shortening deployment cycles, and significantly reducing development costs. In addition, MCD allows real-time monitoring and control of security risks and failures detected. Finally, the feasibility of the virtual simulation and debugging scheme based on digital twin is verified by comparing the operation data of the virtual model and the actual stereo garage, which provides new ideas for the intelligent development of stereo garage but also can be used as an important reference for the development of equipment in other areas.","url":"https://doi.org/10.3390/app14093896","authors":["Ke Zhang","Ziyang Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-02T03:57:56Z","doi":"10.3390/app14093896","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.3390/robotics13070096","name":"A Digital Twin Infrastructure for NGC of ROV during Inspection","source":"crossref","abstract":"Remotely operated vehicles (ROVs) provide practical solutions for a wide range of activities in a particularly challenging domain, despite their dependence on support ships and operators. Recent advancements in AI, machine learning, predictive analytics, control theories, and sensor technologies offer opportunities to make ROVs (semi) autonomous in their operations and to remotely test and monitor their dynamics. This study moves towards that goal by formulating a complete navigation, guidance, and control (NGC) system for a six DoF BlueROV2, offering a solution to the current challenges in the field of marine robotics, particularly in the areas of power supply, communication, stability, operational autonomy, localization, and trajectory planning. The vehicle can operate (semi) autonomously, relying on a sensor acoustic USBL localization system, tethered communication with the surface vessel for power, and a line of sight (LOS) guidance system. This strategy transforms the path control problem into a heading control problem, aligning the vehicle’s movement with a dynamically calculated reference point along the desired path. The control system uses PID controllers implemented in the navigator flight controller board. Additionally, an infrastructure has been developed that synchronizes and communicates between the real ROV and its digital twin within the Unity environment. The digital twin acts as a visual representation of the ROV’s movements and considers hydrodynamic behaviors. This approach combines the physical properties of the ROV with the advanced simulation and analysis capabilities of its digital counterpart. All findings were validated at the Point Rouge port located in Marseille and at the port of Ancona. The NGC implemented has proven positive vehicle stability and trajectory tracking in time despite external interferences. Additionally, the digital part has proven to be a reliable infrastructure for a future bidirectional communication system.","url":"https://doi.org/10.3390/robotics13070096","authors":["David Scaradozzi","Flavia Gioiello","Nicolò Ciuccoli","Pierre Drap"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-28T05:22:38Z","doi":"10.3390/robotics13070096","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.31274/td-20251215-50","name":"Digital Twin Modeling of Hollow Alginate Microfiber Fabrication for Biomedical and Environmental Applications","source":"crossref","abstract":"","url":"https://doi.org/10.31274/td-20251215-50","authors":["Jonathan Schroder"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T16:09:57Z","doi":"10.31274/td-20251215-50","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.2139/ssrn.6156851","name":"Digital Twin Applications for Yield Prediction in Roll-to-Roll Manufacturing","source":"crossref","abstract":"The idea of roll-to-roll (R2R) manufacturing is at the core of scalable production of flexible electronics, but is often limited by unstable yield, high material waste, and a lack of understanding of the process transparency. These issues drive the implementation of digital twin technologies as one of the methods of industrial robustness and sustainability preservation that will be able to keep high-throughput scalability (Pingale and Altay 2025; Nguyen et al. 2025). This paper follows a comparative and analytical approach by summarizing the latest developments in AI-based architecture and digital twins, data-driven yield prediction, and control-based R2R process implementations (Gafurov et al. 2025., Ali et al., 2025). The analysis incorporates reported models and case studies to assess the ability of virtual replicas of R2R systems to capture the dynamics of processes, material behavior, and defect evolution under different operating conditions. The most recent findings also suggest that digital twins allow identifying the mechanisms of yield loss earlier, enhance the causal nature of understanding the variability of processes, and make data-informed decisions across interrelated R2R subsystems (Shakeel et al. 2023; Ng et al. 2024). All in all, the research suggests that digital twins are an excellent integrative instrument to accomplish yield forecasting, process modelling, and sustainable manufacturing in further-generation R2R production areas (Nguyen et al. 2025).","url":"https://doi.org/10.2139/ssrn.6156851","authors":["John Olanrewaju"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T10:07:03Z","doi":"10.2139/ssrn.6156851","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.59972/0h0r0793","name":"Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling","source":"crossref","abstract":"In this contribution, the simulation-based digital twin of a high-speed turbomachine, i.e. a fan with a nominal speed of 16500 rpm, that has been developed for the aerospace industry with multiple uses in various platforms, and the corresponding findings are presented. The relevant simulation-based digital twin is created by first running various multi-physics engineering simulations, i.e. computational solid mechanics, computational fluid dynamics, and low-frequency electromagnetic analyses with Ansys software. Subsequent dynamic reduced order models (ROM) are formed and integrated together to create the digital twin that are bidirectionally connected with the asset. The digital twin is also validated via experimental data that are obtained with various setups for several parameters read at discrete locations via sensors, based on fidelity comparisons both between experiments and simulations, and between simulations and ROMs. Several operational scenarios including those with stress tests are run and the asset is checked against fatigue and thermal requirements for the rotor-stator assembly and the motor circuit respectively. This is done with an inhouse program that incrementally reads time, temperature, and rotational speed data and in which the relevant fatigue and thermal criteria are defined. This program is also used to simulate and analyse what-if scenarios. It is seen that vibration fatigue dominates all possible sources of failure in most cases. As a novel aspect, the fatigue induced by starts and stops of the fan is expressed as equivalent operating hours (EOH) depending on time and temperature parameters of the corresponding scenarios, as opposed to be taken as a constant value for all scenarios. Using this novelty, it is also conceptually demonstrated that simulation-based digital twins can play a significant role in operation and maintenance (O&amp;M) when combined with conventional data-driven predictive maintenance techniques, not only for O&amp;M teams but also asset owners and original equipment manufacturers (OEMs) particularly with the use of what-if analyses. Approaches to simulation-based digital twins in context with multi-physics and ROM fidelity are also discussed based on several digital twin maturity models.","url":"https://doi.org/10.59972/0h0r0793","authors":["M. Kandaz","A. Kaçar","U. Gündoğar","E. Ak","C. Alpdoğan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-13T10:16:02Z","doi":"10.59972/0h0r0793","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/mele.2024.3473249","name":"Real-Time Digital Twin: An advanced concept for modeling small modular reactors.","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mele.2024.3473249","authors":["Weiran Chen","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-09T19:04:13Z","doi":"10.1109/mele.2024.3473249","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/vtc2022-spring54318.2022.9860619","name":"Edge-assisted human-to-virtual twin connectivity scheme for human digital twin frameworks","source":"openalex","abstract":"The human digital twin (HDT) is a new paradigm that possesses the ability to revolutionize the current healthcare systems. With HDT, ensuring an efficient connectivity scheme between each human-virtual twin pair remains a significant problem. As the concept of HDT is new, conventional connectivity schemes cannot meet the unique requirements of HDT in terms of reliability, security and privacy. This paper thus proposes an edge-assisted connectivity scheme for HDT and adopts an integrated blockchain and federated learning techniques to ensure security and privacy. To minimize long-term average connectivity cost, we formulated the connectivity problem as a Markov decision process and adopted the deep deterministic policy gradient (DDPG) algorithm to learn the optimal connectivity policy in terms of connectivity cost. The obtained results were then compared with the conventional deep Q-network-based solution. The results show that the proposed DDPG-based connectivity solution is feasible to perform the connectivity process better by optimally allocating system resources, thus reducing the overall connectivity cost, while ensuring data security and privacy.","url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860619","authors":["Samuel D. Okegbile","Jun Cai"],"tags":["Computer science","Scheme (mathematics)","Enhanced Data Rates for GSM Evolution","Process (computing)","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-01","doi":"10.1109/vtc2022-spring54318.2022.9860619","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.2139/ssrn.4886402","name":"A Study of Soil Modelling Methods Based on Line-Structured Light——Preparing for the Subsoiling Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4886402","authors":["Xia Li","Birong You","Xuhui Wang","Zhipeng Zhao","Tianyu Qi","Jinyou Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-05T17:18:03Z","doi":"10.2139/ssrn.4886402","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.21956/digitaltwin.19223.r28213","name":"Peer Review Report For: Is it possible to develop a digital twin for noise monitoring in manufacturing? [version 1; peer review: 3 approved with reservations, 1 not approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19223.r28213","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19223.r28213","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.21814/uminho.ed.142.33","name":"Digital Twin e a necessidade de uma framework integradora para a gestão do ambiente construído","source":"crossref","abstract":"","url":"https://doi.org/10.21814/uminho.ed.142.33","authors":["António Aguiar Costa","Rodrigo Pedral Sampaio","Inês Flores-Colen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-07T17:28:35Z","doi":"10.21814/uminho.ed.142.33","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/time-e62724.2024.10919834","name":"A Microservices-Driven Digital Twin Model for Precision Farming in a Controlled Indoor Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/time-e62724.2024.10919834","authors":["Ramot Lubis","Augie Widyotriatmo","Albert","Endra Joelianto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-18T17:30:31Z","doi":"10.1109/time-e62724.2024.10919834","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/speedam61530.2024.10609035","name":"A Comparison between Digital- Twin Based Methodologies for Predictive Maintenance of Marine Diesel Engine","source":"crossref","abstract":"","url":"https://doi.org/10.1109/speedam61530.2024.10609035","authors":["Maria Acanfora","Luigia Mocerino","Giuseppe Giannino","Ugo Campora"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T17:27:25Z","doi":"10.1109/speedam61530.2024.10609035","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.21125/edulearn.2025.1644","name":"DUAL APPROACH TO INDUSTRIAL AUTOMATION EDUCATION: DIGITAL TWIN AND VIRTUAL TWIN FOR ENHANCED LEARNING","source":"crossref","abstract":"","url":"https://doi.org/10.21125/edulearn.2025.1644","authors":["Patricia Arroyo","Pilar Merchán","Emiliano Pérez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-12T05:55:24Z","doi":"10.21125/edulearn.2025.1644","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.2139/ssrn.4784124","name":"Digital Twin for a Smart Metro Service Platform: Long-Term Performance of a Tunnel Structure in Wuhan","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4784124","authors":["Cheng Zhou","Wenbo Qin","Hanbin Luo","Qunzhou Yu","Bin Fan","Qi Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-04T11:17:45Z","doi":"10.2139/ssrn.4784124","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1063/5.0195494","name":"Development of gas turbine model interface for digital twin application","source":"crossref","abstract":"","url":"https://doi.org/10.1063/5.0195494","authors":["Anushpamathi Sundararajan","Madiah Omar","Rosdiazli Ibrahim","Nurliana Farhana Salehuddin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-29T16:30:10Z","doi":"10.1063/5.0195494","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/seaa64295.2024.00031","name":"Maintaining Consistency of Digital Twin Models: Exploring the Potential of Graph-Based Approaches","source":"crossref","abstract":"","url":"https://doi.org/10.1109/seaa64295.2024.00031","authors":["Hossain Muhammad Muctadir","Loek Cleophas","Mark van den Brand"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-27T19:08:10Z","doi":"10.1109/seaa64295.2024.00031","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.autcon.2024.105826","name":"Digital twin technology for road pavement","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.autcon.2024.105826","authors":["Mohammad Amin Talaghat","Amir Golroo","Abdelhak Kharbouch","Mehdi Rasti","Rauno Heikkilä","Risto Jurva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-31T04:40:18Z","doi":"10.1016/j.autcon.2024.105826","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.12688/digitaltwin.17963.1","name":"Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels","source":"crossref","abstract":"Background Unexpected leakage accidents of the natural gas pipeline inside urban utility tunnels can pose great threats to public safety, property, and the environment. It highlights the modeling of natural gas leakage and dispersion dynamics, especially from a digital twin implementation perspective facilitating effective emergency response in a data-driven way. Methods In this study, a digital twin-based emergency response framework for gas leakage accidents in urban utility tunnels is proposed. Within this framework, the data-calibrated gas concentration prediction (DC-GCP) model is developed by integrating the Lattice Boltzmann Method (LBM) with data assimilation (DA) techniques. This combination enables accurate spatiotemporal predictions of gas concentrations, even with a prior or inaccurate gas leakage source term. Specifically, we develop a high-performance LBM-based gas concentration prediction model using the parallel programming language Taichi Lang. Based on this model, real-time integration of gas sensor data from utility tunnels is achieved through the DA algorithm. Therefore, the predicted results can be calibrated by the continuous data in the absence of complete source term information. Furthermore, a widely used twin experiment and statistical performance measures (SPMs) are used to evaluate and validate the effectiveness of the proposed approach. Results The results show that all SPMs progressively converge towards their ideal values as calibration progresses. And both the gas concentration predictions and the source term estimations can be calibrated effectively by the proposed approach, achieving a relative error of less than 5%. Conclusions This study helps for dynamic risk assessment and emergency response of natural gas leakage accidents, as well as facilitating the implementation of predictive digital twin in utility tunnels.","url":"https://doi.org/10.12688/digitaltwin.17963.1","authors":["Jitao Cai","Jiansong Wu","Yanzhu Hu","Ziqi Han","Yuefei Li","Ming Fu","Xiaofu Zou","Xin Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-17T06:55:25Z","doi":"10.12688/digitaltwin.17963.1","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/ei264398.2024.10990476","name":"Digital Twin-Empowered Voltage Control for Power Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ei264398.2024.10990476","authors":["Jiachen Xu","Yushuai Li","Torben Bach Pedersen","Yuqiang He","Kim Guldstrand Larsen","Tianyi Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-15T17:30:27Z","doi":"10.1109/ei264398.2024.10990476","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1016/j.ijft.2024.100622","name":"Designing and prototyping the architecture of a digital twin for wind turbine","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijft.2024.100622","authors":["Montaser Mahmoud","Concetta Semeraro","Mohammad Ali Abdelkareem","Abdul Ghani Olabi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-05T08:34:44Z","doi":"10.1016/j.ijft.2024.100622","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/taee59541.2024.10604976","name":"Use Case: Design, Characterization, Prototyping and Digital Twin of a Stewart Platform.","source":"crossref","abstract":"","url":"https://doi.org/10.1109/taee59541.2024.10604976","authors":["Alba Correal Olmo","Francisco J. Ríos Gómez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T17:33:10Z","doi":"10.1109/taee59541.2024.10604976","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"doi:10.1109/iarce64300.2024.00066","name":"Research on the Construction and Application of the Digital Twin Platform for Loading Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iarce64300.2024.00066","authors":["Yingchao Wu","Qi He","Huashi Yang","Xiaoke Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-28T03:23:25Z","doi":"10.1109/iarce64300.2024.00066","addedAt":"2026-09-01T01:47:34.569Z","updatedAt":"2026-09-01T01:47:34.569Z"},{"id":"oa:W4414516182","name":"Ophthalmic drug discovery and development using artificial intelligence and digital health technologies","source":"openalex","abstract":"Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerate each stage of drug discovery and development, from pre-clinical target identification to post-market repurposing, and even revolutionize the entire process. Using ophthalmology as an example, this review highlights recent AI and digital health innovations in different phases of drug discovery and development. By leveraging machine learning algorithms and vast clinical and multiomics datasets, AI can rapidly identify and validate new drug targets, optimize lead compounds, and predict pharmacokinetics, pharmacodynamics and toxicity. AI-assisted multi-modal ocular biomarkers may improve treatment monitoring and support personalized medicine. Integrating AI shortens development timelines, enhances efficiency, reduces costs, and increases the success rate of new drugs. Currently, standardized regulations for AI in ocular drug development are still lacking and urgently needed to ensure safe and equitable implementation.","url":"https://doi.org/10.1038/s41746-025-01954-y","authors":["Haoran Cheng","Joy Le Yi Wong","Chrystie Wan Ning Quek","Jeffrey L. Goldberg","Vinit B. Mahajan","Tien Yin Wong","Jodhbir S. Mehta","Daniel Shu Wei Ting","Darren Shu Jeng Ting"],"tags":["Drug discovery","Identification (biology)","Computer science","Drug development","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-25","doi":"https://doi.org/10.1038/s41746-025-01954-y","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4415420457","name":"Digital Twin Micro-Services Architecture to Support a Scenario-based Integration of Smart Mobility Services and Simulations","source":"openalex","abstract":"This paper proposes a microservices-based digital twin architecture for flexible, scalable, and real-time integration of smart mobility services in urban centers.By decoupling functions into modular services embedded in scenario-driven simulations, the digital twin overcomes limitations of monolithic systems, enhancing adaptability and interoperability.Preliminary results demonstrate its effectiveness for dynamic urban mobility management.","url":"https://doi.org/10.15439/2025f8576","authors":["Damien Nicolas","Christophe Feltus","Ruben Marques"],"tags":["Computer science","Architecture","Systems architecture","Key (lock)","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-15","doi":"https://doi.org/10.15439/2025f8576","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4416095572","name":"Digital Twins in Heritage Conservation and Visitor Engagement: Comparative Case Studies from Four Historic Sites","source":"openalex","abstract":"This study explores the application of digital twin technologies in heritage conservation and visitor engagement, focusing on their practical use in preserving and enhancing access to culturally significant sites. Digital twins, which are virtual replicas of physical environments, enable real-time monitoring and simulation, offering innovative tools for conservation management and experiential interpretation. Through a systematic literature review and comparative analysis of four case studies, Pompeii, Notre-Dame, the Colosseum, and Hagia Sophia, this research examines how digital twins are implemented across varying contexts. The findings reveal that digital twins support predictive maintenance, structural monitoring, and restoration planning while also enabling immersive experiences through virtual and augmented reality. These technologies provide remote access, interactive storytelling, and tailored tours, fostering a deeper connection with heritage. In terms of conservation, digital twins support predictive maintenance, structural monitoring, and evidence-based decision-making. The structured comparison highlights how digital twin systems balance preservation needs with modern engagement demands. While challenges such as data accuracy, cultural sensitivity, and technological infrastructure remain, the study concludes that digital twins represent a valuable model for integrating conservation and visitor experience in heritage site management. Future developments in immersive technologies and broader adoption of digital twins could further enhance the management and appreciation of cultural heritage worldwide.","url":"https://doi.org/10.3311/ppar.40513","authors":["Gamze Akyol","Ali Berkay Avcı"],"tags":["Visitor pattern","Cultural heritage","Comparative case","Experiential learning","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-10","doi":"https://doi.org/10.3311/ppar.40513","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W3048128771","name":"Towards the Digitally-Enabled Multinational Inner Network (DEMIN)","source":"openalex","abstract":"Abstract: The purpose of this paper is to contribute to the advancement of International Operations Management in the digital era. Theories and models that address how multinationals organize international operations were generated in the 1990s, a time when Kasra Ferdows wrote his HBR’s seminal article “Making the Most of Foreign Factories”. Despite the critiques, that simple and insightful model, a fruit of Ferdows’ experience, remains as paradigm but must now be updated to become aligned to the features of the digital world. In this theory-building paper, we disclose how Digital Transformation will change the location, coordination, and role of the organizational units that constitute the multinational’s inner international network (IIN). We first synthesize the digital trends into three statements that are contrasted with the assumptions of Ferdows’ model, leading to a new taxonomy. We then display pieces of evidence collected from the recent literature in different management fields. This article brings new perspectives for the understanding of how multinationals reorganize their operations, now and in the future, in times of deglobalization accelerated by pandemics.","url":"https://doi.org/10.1590/0104-530x5615-20","authors":["Flávio Fisch","Afonso Fleury"],"tags":["Multinational corporation","Digital transformation","Computer science","Political science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1590/0104-530x5615-20","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7124142707","name":"Integrating thermal point clouds into BIM-GIS environments: workflow proposal for multi-layer digital twins","source":"openalex","abstract":"Introduction The integration of Thermal Point Clouds (TPCs) into professional Building Information Models (BIM) and Geographic Information System (GIS) workflows is currently hampered by a lack of established methodologies and significant format interoperability challenges. This study addresses this methodological gap by developing and testing integration processes for both BIM and GIS platforms. Methods Two proofs of concept were developed using data from a commercial scanner at the New York University Abu Dhabi (NYUAD) campus. For BIM integration, a process was designed to generate open Industry Foundation Classes (IFC) files where average surface temperatures are embedded as native properties of architectural elements. For GIS integration, thermal data was assigned as custom attributes to a manually generated 3D geometric reference model, establishing the preliminary steps for a dedicated thermal-GIS workflow. Results The methodologies were successfully validated through visualization in ArcGIS Pro and ACCA Software GeoTwin. The results demonstrate a tangible path to overcoming current format limitations, enabling the creation of multi-layer thermal digital twins. Discussion This approach makes complex thermal data more accessible to Architecture, Engineering, Construction, and Operation (AECO) professionals. By providing a structured workflow for interoperability, the study facilitates improved building management and more accurate energy analysis through the use of integrated thermal digital models.","url":"https://doi.org/10.3389/fbuil.2025.1715347","authors":["Amanda Ramón-Constantí","F. Castilla Pascual","Borja Garcia de Soto","Antonio Adán-Oliver"],"tags":["Workflow","Interoperability","Computer science","Software","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-14","doi":"https://doi.org/10.3389/fbuil.2025.1715347","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W3167607434","name":"Evaluation of Latvian Power System Static Stability According to a New Development Strategy until 2025","source":"openalex","abstract":"The current stage of world energy development is characterized by the creation of powerful, territorially unified energy systems under free market conditions as well as renewable energy integration. Such transactions challenge networks’ configurations and their operating modes. Electric power system (EPS) static stability could be considered one of the primary targets in this regard. The aim of this study was to evaluate the undergoing and expected modernization of the Latvian EPS in terms of static stability in a regional scale-based case study. In order to define static stability, a method based on a bus admittance matrix was proposed. A simplified Latvian EPS model was developed and assessed for the following three modes: past (2017), current (2020), and planned (2025), taking into account the Baltic States’ planned development scenarios including large wind farm integration. The evaluation of computation results provided an opportunity to visually inspect changes in the EPS’ sensitive elements such as lines and nodes. As a result, positive changes were observed (decrease of several weak points) for the planned mode (2025) as compared to the past mode (2017) under the considered modernization scenario. The detailed analysis and results are presented in the article.","url":"https://doi.org/10.3390/su13126860","authors":["Inga Zicmane","Sergey Kovalenko","Svetlana Beryozkina","Kristīna Bērziņa","Aleksejs Soboļevskis"],"tags":["Latvian","Electric power system","Admittance parameters","Renewable energy","Stability (learning theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-17","doi":"https://doi.org/10.3390/su13126860","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4412177800","name":"Impact of surface roughness and preheat temperature on fecrbmnsi coating properties prepared by the twin wire Arc spray method","source":"openalex","abstract":"The purpose of this study is to evaluate the effects of substrate surface roughness (35 μm and 40 μm) and preheat temperature (50 °C, 100 °C, 150 °C) on the properties of the FeCrBMnSi coating layer applied to 304 stainless steels using the TWAS (Twin Wire Arc Spray) method. Surface preparation involved sandblasting and preheat treatment, followed by coating application with TWAS, and subsequent characterization using pull-off bonding, hardness, corrosion rate, Light Optical Microscope (LOM), and scanning electron microscopy (SEM) test. The current study's findings indicate that increasing preheat temperature and surface roughness consistently reduces the percentage of porosity, unmelted material, and coating layer thickness. This enhances the hardness and adhesive strength of the coating layers. The hardness of the coating layer obtained in the present study was improved by 360-439% compared to the uncoated material. The best specimen in this study was found on a substrate with a surface roughness of 40 μm and performed a preheating treatment at a temperature of 150 °C. The thickness of the coating layer for this specimen was 150.58 × 10⁻³ mm, with a porosity and unmelted materials of 7.233%, a hardness of 1114.6 HV, an adhesive strength of 20.29 MPa, and a corrosion rate of 1.0640 × 10⁻² mmpy. However, the corrosion resistance of the coated specimens remains lower than that of the uncoated 304 stainless steel.","url":"https://doi.org/10.1038/s41598-025-10713-8","authors":["Deni Fajar Fitriyana","Windy Desti Puspitasari","Sivasubramanian Palanisamy","Mufti Muhadzdzib","Samsudin Anis","Januar Parlaungan Siregar","Tezara Cionita","Aravindhan Alagarsamy","K. Sai Sarath","Saleh Alfarraj","Mansour I. Almansour","Quanjin Ma"],"tags":["Materials science","Surface roughness","Coating","Metallurgy","Arc (geometry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.1038/s41598-025-10713-8","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4323257261","name":"Development of the Digital Accounting and Its Impact on Financial Performance in Higher Education","source":"openalex","abstract":"The emergence of digital society in industry 4.0 is one of the most visible changes in the XXI century. The creation of digitization has led to significant changes in accounting and financial management as features of an innovative University. This study aims to analyze the development of digital accounting and examine its impact on economic performance in higher education by using IBM SPSS Statistics 25 and the feasibility of the investment using the payback period approach. The development of digital accounting is based on a web 2.0-based ICT system using the Software Development Life Cycle (SDLC) method with the waterfall model and applying the latest financial accounting standards. Analysis of the impact of accounting digitization was carried out on 247 educational staff as a population and involved 152 respondents as samples selected using the Slovin formula. Data analysis consisted of descriptive statistics, correlation, and multiple regression analysis with an error rate of 5%. The findings showed a positive correlation between financial performance and accounting digitization. Accounting digitization significantly affected financial arrangement with a P-value of 0.000 is smaller than the alpha (α) of 0.05 or sig.T< 0.05, which means significant. The investment feasibility test using the payback period concludes that digital accounting is feasible to implement in higher education. The eligibility criteria based on the results of calculating the rate of return on investment is three years and two months, faster than the required payback period of four years. Received: 18 December 2022 / Accepted: 10 February 2023 / Published: 5 March 2023","url":"https://doi.org/10.36941/jesr-2023-0031","authors":["Immas Nurhayati","Azolla Degita Azis","Foni Agus Setiawan","Iis Anisa Yulia","Desmy Riani","Endri Endri"],"tags":["Digitization","Accounting","Payback period","Investment (military)","Descriptive statistics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-05","doi":"https://doi.org/10.36941/jesr-2023-0031","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4411812738","name":"Physical digital twins for ancient stone masonry informed of original construction techniques: the case of Sardinian nuraghi","source":"openalex","abstract":"A short review is provided regarding modern technical tools allowing to build digital twins for modelling ancient stone masonry structures and their physical behaviour. The objective of such tools is to assess the structural safety of cultural heritage masonry structures. The present work focuses on the particular case of Sardinian nuraghi, which are ancient corbelled stone masonry structures whose typical form is a truncated cone. As a starting point we consider a careful historical analysis of the construction techniques of those nuraghi. From this analysis, we address the choice of theoretical and numerical tools apt to construct a digital twin of complex nuraghi, in addition to delineating future challenges in building digital twins capable of simulating any physical process which may be relevant to ancient buildings.","url":"https://doi.org/10.5802/crmeca.308","authors":["Chuong Anthony Tran","Emilio Barchiesi","Roberto Busonera","M. Erden Yildizdag","Ilaria Trivelloni","Emilio Turco"],"tags":["Masonry","Construct (python library)","Cultural heritage","Computer science","Architectural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.5802/crmeca.308","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7118181140","name":"Framework for the Development of a Process Digital Twin in Shipbuilding: A Case Study in a Robotized Minor Pre-Assembly Workstation","source":"openalex","abstract":"This article proposes a framework for the development of process digital twins (DTs) in the shipbuilding sector, based on the ISO 23247 standard and structured around the achievement of three levels of digital maturity. The framework is demonstrated through a real pilot cell developed at the Innovation and Robotics Center of NAVANTIA—Ferrol shipyard, incorporating various cutting-edge technologies such as robotics, artificial intelligence, automated welding, computer vision, visual inspection, and autonomous vehicles for the manufacturing of minor pre-assembly components. Additionally, the study highlights the crucial role of discrete event simulation (DES) in adapting traditional methodologies to meet the requirements of Process digital twins. By addressing these challenges, the research contributes to bridging the gap in the current state of the art regarding the development and implementation of Process digital twins in the naval sector.","url":"https://doi.org/10.3390/jmse14010106","authors":["Ángel Sánchez-Fernández","Elena-Denisa Vlad-Voinea","Javier Pernas-Álvarez","Diego Crespo-Pereira","Belén Sañudo-Costoya","Adolfo Lamas Rodríguez"],"tags":["Process (computing)","Workstation","Bridging (networking)","Computer science","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-05","doi":"https://doi.org/10.3390/jmse14010106","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4411661902","name":"Digital transformation of construction enterprises and carbon emission reduction: evidence from listed companies","source":"openalex","abstract":"As a key sector for energy consumption and carbon emissions, the construction industry’s carbon reduction measures have important strategic significance for achieving the “dual carbon” goals. Based on data from Chinese listed construction companies from 2000 to 2021, this study empirically explores the effects and pathways of digital transformation on carbon reduction. The results indicate that digital transformation can significantly reduce the carbon emission intensity of enterprises, mainly through promoting green technology innovation, improving total factor productivity, and optimizing production processes and business structures. Heterogeneity analysis shows that digital technology has a more significant emission reduction effect on highly competitive enterprises in the industry, and there are significant differences in carbon emission reduction between regions. This study provides a reference for carbon neutrality pathways in the field of architecture.","url":"https://doi.org/10.3389/fenvs.2025.1570182","authors":["Sanglin Zhao","Hao Deng","Jikang Cao","Måns Gustaf"],"tags":["Business","Carbon fibers","Reduction (mathematics)","Transformation (genetics)","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.3389/fenvs.2025.1570182","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W2962571336","name":"Mining 4.0—the Impact of New Technology from a Work Place Perspective","source":"openalex","abstract":"Industry 4.0 offers new possibilities to combine increased productivity with stimulating workplaces in a good work environment. Used correctly, digitalization can create attractive jobs in safe control room environments, which provide space for the employee’s full expertise and creativity. This is true also for the mining industry. But, to succeed, it is important to analyze the development from a worker’s perspective. What will happen to their work? What skills will be needed in the mine of tomorrow? We must also consider the risks, such as privacy issues, increased stress, and work-life boundaries. These questions must be understood if we are to create workplaces that can attract a young and diverse workforce to tomorrow’s mining industry. In this article, we try to illustrate what the new technology can mean for the individual miners. We formulate the notion of Mining 4.0 (Industry 4.0 in the mining industry), where we try to create an image of how the future might look from a miner’s perspective and how mining companies may navigate their way to a future that works for all miners. To illustrate the range of possible outcomes, we formulate two scenarios: one utopian and one dystopic. At the end of our article, we bring forward six recommendations that can be considered a beginning of a road map for the human side of Mining 4.0.","url":"https://doi.org/10.1007/s42461-019-00104-9","authors":["Joel Lööw","Lena Abrahamsson","Jan Johansson"],"tags":["Workforce","Perspective (graphical)","Work (physics)","Productivity","Creativity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-07-15","doi":"https://doi.org/10.1007/s42461-019-00104-9","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4409405994","name":"AI-DRIVEN OPTIMIZATION IN RENEWABLE HYDROGEN PRODUCTION: A REVIEW","source":"openalex","abstract":"This paper presents a comprehensive systematic review of artificial intelligence (AI)-driven optimization in renewable hydrogen production, emphasizing its pivotal role over the past decade in enabling the transition toward a sustainable, low-carbon energy future. As green hydrogen gains prominence as a clean energy carrier—particularly in hard-to-decarbonize sectors such as transportation, heavy industry, and grid balancing—the demand for efficient, scalable, and economically viable production methods has intensified. AI has emerged as a transformative enabler, offering innovative solutions to technical and economic barriers across various production pathways, including electrolysis (proton exchange membrane, alkaline, and solid oxide), biomass gasification, solar-to-hydrogen, and wind-to-hydrogen systems. This study employs a structured methodology based on a systematic literature review (SLR), drawing from over 150 peer-reviewed journal articles, patents, industry reports, and conference proceedings published between 2014 and 2024. Data were sourced from academic databases, leading energy organizations, and international technology forums. The review categorizes AI techniques—machine learning, deep learning, reinforcement learning, and optimization algorithms—and examines their applications in process control, predictive maintenance, energy forecasting, material discovery, cost reduction, and hybrid renewable system integration. Emerging trends include AI-powered digital twins, AI-quantum hybrid frameworks, and intelligent supply chain management. However, the widespread deployment of AI in hydrogen systems faces challenges, such as limited access to high-quality real-time datasets, lack of standardization, regulatory hurdles, and high computational demands. The paper concludes by identifying key research gaps and outlining future directions, including the development of lightweight, explainable AI models, cross-sectoral collaborations, and supportive policy frameworks. Ultimately, this review underscores the transformative potential of AI in accelerating the commercialization, optimization, and global adoption of renewable hydrogen technologies, laying the groundwork for a robust, intelligent, and decarbonized energy infrastructure.","url":"https://doi.org/10.63125/06z40b13","authors":["Sharif Md Yousuf Bhuiyan","A. K. M. Alauddin Chowdhury","Md Shahadat Hossain","Saleh Mohammad Mobin","Imtiaz Parvez"],"tags":["Hydrogen production","Renewable energy","Production (economics)","Hydrogen","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"https://doi.org/10.63125/06z40b13","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4415217103","name":"High-Definition 3D Digital Twin for Damage Mapping for Bridge Systems Using Advanced NeRF and STRNet","source":"openalex","abstract":"This research presents an innovative approach to generating three-dimensional (3D) digital twin models for damage assessment in large-scale civil structures. By refining the Nerfacto model, which builds upon Neural Radiance Fields (NeRF), the study achieves highly accurate 3D reconstruction with detailed, pixel-level damage visualization. To enhance precision, STRNet with Test Time Augmentation (TTA) was utilized for pixel-wise crack segmentation, ensuring seamless incorporation of damage data into the digital twin model. Extensive case studies validated the effectiveness of this methodology for large-scale infrastructure, highlighting its potential for proactive structural health monitoring. Future investigations will focus on real-world outdoor applications, integrating UAV-based imaging while addressing challenges such as scale variations and lighting inconsistencies. This framework provides a reliable foundation for automating infrastructure inspection and maintenance.","url":"https://doi.org/10.12783/shm2025/37370","authors":["G. Kim","Young‐Jin Cha"],"tags":["Bridge (graph theory)","Computer science","Focus (optics)","Structural health monitoring","Civil infrastructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.12783/shm2025/37370","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W3209631678","name":"Russian oil and gas regions during the COVID-19 crisis and their digital transformation","source":"openalex","abstract":"Relevance. One of the key long-term strategic goals of Russia's economic development is to increase the share of the digital and green economy in the gross product of the country and its regions. The recession caused by the pandemic has brought to the forefront the challenges of digitalization in the country's oil and gas sector, which was among the hardest hit sectors, and thus required significant effort on the part of regional governments.Research objective. This research aims to demonstrate the key role played by digitalization and environmentalization in the recovery of the Russian oil and gas regions from the pandemic.Data and methods. The study provides an overview of the Russian and international research literature on the ways to foster economic recovery and growth after the COVID-19 pandemic, including the publications of the United Nations and the World Economic Forum. Methodologically, the study relies on the empirical, general scientific methods and methods of economic statistics. We used in our calculations the data from the open-access statistical yearbook 'Russian Regions' published by Rosstat.Results The study analyzed the challenges of digitalization faced by Russian oil and gas regions to show the need for institutional transformations on the national level. We also formulated some recommendations for the improvement of the evaluation of regional governments' digitalization efforts in the context of the COVID-19 pandemic and the more general evaluation of the digital transformation of regional economies.Conclusions To stimulate economic growth of Russian oil and gas regions recovering from the pandemic, a viable strategy would be to place a greater emphasis on their sustainable and digital development. In the international rankings such as the EDGI Ranking presented annually by the United Nations Department of Economic and Social Affairs (UN DESA), Russia occupies a high position in terms of e-government services and digitalization in other spheres. Nevertheless, as far as the Russian oil and gas regions are concerned, there are considerable disparities in terms of digitalization. To accelerate digital transformation, we would highly recommend to improve the methods of evaluation of the digital progress in regional government, especially to include a set of indicators characterising regional governments' responses to the challenges posed by the COVID-19 pandemic.","url":"https://doi.org/10.15826/recon.2021.7.3.016","authors":["Р.Р. Ахунов","Liaisan. R. Akhunova","Sergey G. Marichev","Р.И. Низамутдинов"],"tags":["Context (archaeology)","Economic recovery","Pandemic","Recession","Yearbook"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-16","doi":"https://doi.org/10.15826/recon.2021.7.3.016","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7125907353","name":"From efficiency to resilience: Strategic shifts in maritime organizations through digitalization, ESG, and human capital (2018 - 2025)","source":"openalex","abstract":"Most existing maritime research examines digitalization, ESG pressures, and human capital separately. This paper fills the gap in explaining how the three factors dynamically reshape strategic orientations in the highly unstable post-2020 period. It explains how maritime organizations reconfigured their strategies between 2018 and 2025. The research is based on sixteen semi-structured interviews with top professionals from different segments of the maritime ecosystem across Europe and Asia, analyzed according to Gioia methodology. The main finding is a structural transformation from an efficiency strategy before 2020 toward a resilience strategy after 2020. It finds that this shift emanates from an interaction between digitalization (a ‘sensing’ capability) and human capital (a ‘reconfiguring’ capability). Seven strategic patterns are identified, which include new forms such as glocal ESG adaptation- blending global rules with local innovation- and hybrid leadership--blending technical, digital, and human skills- in addition to more traditional forms like asset diversification or trade pattern flexibility through chartering tonnage. This study is original as it is the first integrated empirical analysis of the interaction, with a rare pre/post-2020 temporal comparison conceptualizing new patterns as specific dynamic capabilities for the maritime sector. ------------------------------------------------------------------------------Cite this article: APA Style:Arslan, A., & Akturan, A. (2026). From efficiency to resilience: Strategic shifts in maritime organizations through digitalization, ESG, and human capital (2018 - 2025). Maritime Technology and Research, 8(2), 283716. https://doi.org/10.33175/mtr.2026.283716 MDPI Style:Arslan, A.; Akturan, A. From efficiency to resilience: Strategic shifts in maritime organizations through digitalization, ESG, and human capital (2018 - 2025). Marit. Technol. Res. 2026, 8(2), 283716. https://doi.org/10.33175/mtr.2026.283716 Vancouver Style:Arslan A, Akturan A. (2026). From efficiency to resilience: Strategic shifts in maritime organizations through digitalization, ESG, and human capital (2018 - 2025). Marit. Technol. Res. 8(2): 283716. https://doi.org/10.33175/mtr.2026.283716 ------------------------------------------------------------------------------ Highlights Maritime firms re-oriented their strategies from an efficiency-based approach toward a resilience-based approach in the year 2020 and beyond. Digitalization and ESG progressed from peripheral tools to core strategic drivers shaping competitiveness. Firms increasingly practice “glocal ESG adaptation”, blending global rules with locally innovated solutions. Strategic alliances evolved into long-term innovation ecosystems, especially around green corridors and digital platforms. Human capital and hybrid leadership—combining technical, digital, and people skills became critical enablers of resilience.","url":"https://doi.org/10.33175/mtr.2026.283716","authors":["Aykut Arslan","Abdülkadir Akturan"],"tags":["Human capital","Business","Diversification (marketing strategy)","Industrial organization","Glocalization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-29","doi":"https://doi.org/10.33175/mtr.2026.283716","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4405915426","name":"Urban Information Modeling for Smart Cities: Advancing Sustainable Infrastructure and Environmental Management in Digital Twin Applications","source":"openalex","abstract":"Urban infrastructure and environmental management face significant challenges in supporting the integration of Smart City Digital Twins.To address these issues, Urban Information Modeling (UIM) offers a comprehensive framework that extends the principles of Building Information Modeling (BIM) by incorporating both graphical and nongraphical data.This enables a unified platform for integrating various urban elements, such as buildings, infrastructure, and public utilities, promoting more efficient and sustainable urban development.This study aims to demonstrate the UIM framework's potential to enhance resource efficiency, improve coordination in civil engineering projects, and optimize facility management processes through a case study conducted at Naresuan University.The methodology employed involves implementing the UIM framework by integrating various modeling techniques, including BIM, block models, Industry Foundation Classes (IFC), reality capture models (e.g., point clouds), 2D CAD, shapefiles, and raster datasets.Findings reveal that UIM not only improves stakeholder collaboration and urban management efficiency but also supports the sustainable construction and maintenance of urban systems.Additionally, the framework underscores UIM's critical role in fostering adaptive urban management strategies, minimizing environmental impact, and contributing to the long-term sustainability of urban development.Social Development Council, 2023), and the Thailand 4.0 policy (Muangrattan, 2019).However, practical implementation is hindered by the lack of integrated building data.This lack of integration affects both public and private utilities, limiting the ability to analyze and plan effectively, thereby impeding sustainable urban development.Challenges include regulatory constraints, fragmented responsibilities among agencies, and inadequate compliance with laws.These issues contribute to environmental degradation, economic inefficiencies, social challenges, and vulnerability to disasters.Addressing these obstacles requires enhancing data integration mechanisms, streamlining regulations, fostering stakeholder collaboration, and investing in technology infrastructure.Such efforts can enable Thailand to realize its smart city goals and advance sustainable urbanization.Building Information Modeling (BIM) plays a pivotal role in the Architecture, Engineering, and Construction (AEC) industry, driving digital transformation (Maria & Dimitar, 2019).BIM integrates intelligent models across the building lifecycle from design and construction to operation, maintenance, and eventual demolition-ensuring efficiency and sustainability at every stage.This research extends BIM principles to Urban Information Modeling (UIM), developing a framework that integrates graphical and non-graphical data for managing utilities and public services within a unified digital city database.Historically siloed elements, such as infrastructure, water supply, sanitation, and transportation, are consolidated for collective use by city managers, government agencies, and other stakeholders.The framework aims to support smart cities by leveraging AI and IoT to enhance efficiency, livability, and sustainability.The study involves developing a conceptual UIM framework for sustainable facility management in digital twins, testing the framework through a case study at Naresuan University, and comparing the proposed approach with traditional methods.The paper is organized into eight sections.The first two review literature and concepts of BIM, UIM, smart cities, and digital twins.Section 3 outlines the research framework, while Sections 4 and 5 detail the methodology and tools used.Section 6 presents findings from the Naresuan University case study.Finally, Sections 7 and 8 discuss the results and offer recommendations for future development.","url":"https://doi.org/10.57239/pjlss-2024-22.2.001545","authors":["Perapong Kaewpoonsuk"],"tags":["Environmental planning","Business","Smart city","Sustainable development","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.57239/pjlss-2024-22.2.001545","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4383065757","name":"Prescriptive graph analytics on the digital transformation in healthcare through user-generated content","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10479-023-05495-z","authors":["Enrique Caño-Marín","Marçal Mora‐Cantallops","Salvador Sánchez‐Alonso"],"tags":["Computer science","Analytics","Digital transformation","Data science","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-04","doi":"https://doi.org/10.1007/s10479-023-05495-z","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410008516","name":"Assessing Agri-Food Digitalization: Insights from Bibliometric and Survey Analysis in Andalusia","source":"openalex","abstract":"The agri-food sector is going through a massive digital transformation thanks to new technologies such as the Internet of Things (IoT), big data, and Artificial Intelligence (AI). Regional disparities and implementation barriers prevent widespread uptake despite significant research advances. Drawing on bibliometric and survey data collected up to the end of 2023, this study examines global research trends and stakeholder perceptions in Andalusia (Spain) to identify challenges and opportunities in agricultural digitalization. Bibliographic analysis revealed that research has moved from early remote sensing to precision agriculture, IoT, robotics and big data, and that AI has recently taken over in predictive analytics, automation, and decision-support systems. However, our survey of Andalusian stakeholders highlighted a limited adoption of cutting-edge tools such as AI, blockchain, and predictive models due to economic constraints, technical challenges, and skepticism. Participants emphasized the importance of trust-building, as well as the use of simple tools that require minimal input and provide immediate benefits. Priorities for the responders were also improving market transparency, optimizing resource use, and system interoperability. The findings show that closing the gap between research and practice requires developing digital solutions that are user-centered, simplified, and context-adapted, especially when dealing with complex technologies like AI and predictive systems. This must be supported by targeted public policies and collaborative innovation ecosystems, all essential elements to accelerate the integration of smart agricultural technologies and align scientific innovation with real-world needs.","url":"https://doi.org/10.3390/world6020057","authors":["José Ramón Luque-Reyes","A. Zidi","Adolfo Peña","Rosa Gallardo‐Cobos"],"tags":["Regional science","Data science","Geography","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.3390/world6020057","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4200154496","name":"Digital Technologies for Climate Action, Disaster Resilience, and Environmental Sustainability","source":"openalex","abstract":"This publication aims to inform and influence the strategic deployment of digital technologies in developing Asia to help tackle climate change, build climate and disaster resilience, and enhance environmental sustainability.","url":"https://doi.org/10.22617/tcs210188-2","authors":["Asian Development Bank"],"tags":["Resilience (materials science)","Sustainability","Action (physics)","Environmental resource management","Environmental disaster"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-01","doi":"https://doi.org/10.22617/tcs210188-2","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410457013","name":"Soil salinization in drylands: Measure, monitor, and manage","source":"openalex","abstract":"Soil salinization poses a critical threat to global agricultural productivity, ecosystem resilience , and regional resource sustainability . Primary and secondary salinization processes—driven by natural and anthropogenic factors—are intensifying under climate change and unsustainable land-use practices, jeopardizing food security and soil health in drylands. This viewpoint article synthesizes global research on the mechanisms governing soil salinization in drylands, evaluates spatial–temporal drivers of salt accumulation, and critically assesses advances in measuring, monitoring, and managing strategies. Emerging technologies are highlighted, including accurate monitoring using multi-source data fusion , advanced modeling techniques and multiscale full-cycle soil salinity simulation through digital twin technology, and integrated approaches combining hydraulic engineering , chemistry, biology, ecology, and nature-based solutions (NBS) to address soil salinization. Salinization management is a global priority for achieving SDG2. Integrating Earth’s Critical Zone framework reveals salinization’s cascading impacts on agroecosystems, urging synergistic adoption of nature-based solutions and precision agriculture. We emphasize sensor-driven soil health monitoring, salt-tolerant crop breeding, and policy frameworks that incentivize circular resource systems. Shifting from soil amelioration to salt-tolerant germplasm innovation, supported by multidisciplinary synergies, represents a strategically crucial pathway for transforming saline-alkali soils into climate-resilient agricultural assets, thereby securing national food security.","url":"https://doi.org/10.1016/j.ecolind.2025.113608","authors":["Jingzhe Wang","Jianli Ding","Yankun Wang","Xiangyu Ge","Iván Lizaga","Xiangyue Chen"],"tags":["Soil salinity","Measure (data warehouse)","Environmental science","Environmental resource management","Hydrology (agriculture)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.1016/j.ecolind.2025.113608","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4386214163","name":"Perspectives on the evolution of reefer containers for transporting fresh produce","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tifs.2023.104147","authors":["L.J.S. Lukasse","R.E. Schouten","R.B. Castelein","R. A. Lawton","M.J.M. Paillart","Xuezhen Guo","Ernst J. Woltering","S.O. Tromp","J.C.M.A. Snels","Thijs Defraeye"],"tags":["Carbon footprint","Supply chain","Sustainability","Business","Greenhouse gas"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-28","doi":"https://doi.org/10.1016/j.tifs.2023.104147","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4414448524","name":"How does digitalization shape the business financial performance: a systematic review","source":"openalex","abstract":"Abstract This systematic literature review (SLR) examines how digitalization shapes the financial performance of businesses by synthesizing research published from 2014 to 2024. The study analysed 30 articles and utilized the adaptive enterprise architecture (EA) framework to categorize findings across various layers: interaction, human, technology, environment, and security. Key findings from prior literature indicate that digitalization significantly enhances financial performance through improved profit levels, sales growth, and market share, among others, with questionnaire surveys being the predominant method for measurement. The study reveals notable gaps in the literature, particularly regarding the technology, environment, and security layers, and opens the need for further systematic research with the help of EA framework. The future studies should investigate how digitalization affects financial performance over the long run, specifically focussing on market competitiveness, Return on Investment (ROI), and sustainable profitability. Longitudinal research could provide a more thorough picture of how digitalization affects financial outcomes over time.","url":"https://doi.org/10.1186/s43093-025-00659-8","authors":["Augustine Abakpa","Ondřej Dvouletý"],"tags":["Business","Categorization","Systematic review","Finance","Profit (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"https://doi.org/10.1186/s43093-025-00659-8","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4417500782","name":"Green digital accounting and sustainable entrepreneurship in emerging economies: impacts on financial sustainability and performance","source":"openalex","abstract":"As entrepreneurial ventures in emerging economies face growing pressures to remain competitive while adopting environmentally responsible practices, the integration of digital technologies into sustainability-oriented accounting has become increasingly essential. In this context, Green Digital Accounting (GDA) offers a promising pathway for improving both environmental accountability and financial outcomes. This study investigates the influence of GDA on financial sustainability and business performance among entrepreneurial ventures. Employing quantitative research design and survey data, structural equation modelling (SEM) was used to assess the relationships among GDA, financial sustainability, business performance, and Digital Financial Literacy (DFL). The findings demonstrate that GDA significantly enhances financial sustainability and business performance, with financial sustainability playing a mediating role in transforming environmentally conscious accounting practices into improved organisational outcomes. Furthermore, DFL positively moderates the relationship between GDA and business performance, indicating that entrepreneurs with stronger digital financial skills are better able to leverage GDA for strategic and financial gains. The study provides valuable insights for policymakers, entrepreneurs, and firms by emphasising the need for DFL training and the adoption of environmentally integrated accounting practices to support sustainable entrepreneurial development. This research is among the first to empirically establish the strategic role of GDA in promoting sustainable entrepreneurship within emerging economies.","url":"https://doi.org/10.1080/23311975.2025.2601944","authors":["Hamood Mohammed Al‐Hattami","Khalid Mady","Mohammed A. Al‐Bukhrani"],"tags":["Business","Sustainability","Leverage (statistics)","Accounting","Entrepreneurship"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-19","doi":"https://doi.org/10.1080/23311975.2025.2601944","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4405960852","name":"DUAL PRIORITIES: DIGITAL TWINS AND HEALTH CARE DESIGN THAT SUPPORTS OLDER ADULTS IN THE CONTEXT OF STAFFING SHORTAGES","source":"openalex","abstract":"Abstract Aging populations are associated with a growing need and demand for specialized care, including healthcare environments that accommodate unique needs such as mobility assistance, chronic disease management, post-acute care, and mental health support. Currently, there are more than 46 million Americans aged 65 or over, and this number is projected to double by 2060. This demographic aging calls for an increased focus on design solutions like creating age-friendly spaces and ensuring accessibility. Designing healthcare environments that better support older adults is complicated by the staffing shortages in the American healthcare system. For example, there are significant projected shortages of both essential support staff (over 3 million in the next five years) and physicians (roughly 140,000 by 2033). These staffing shortfalls pose critical challenges to patient care, workplace culture and cohesion, and safety. The design of healthcare environments that better support older adults must mitigate the negative impacts of inadequate staffing levels and facilitate more efficient workflows e.g., enhancing interdisciplinary staff collaboration, promoting novel training opportunities, etc. This presentation examines the use of digital twins, effectively indistinguishable virtual representations of real-world physical objects (e.g., the human body, buildings, etc.), as part of a holistic design process that considers older adult patients, staffing and care delivery, and facility optimization. Digital twins have high fidelity and are linked to real-time data. They hold significant potential for designing age-friendly healthcare environments, optimizing staff and resource allocation, asset tracking, accelerated risk assessment, real-time decision support, and novel training simulations, thus improving care for older adults.","url":"https://doi.org/10.1093/geroni/igae098.2022","authors":["Felix Kabo","Jake Morrison","Chad Ritsema"],"tags":["Staffing","Economic shortage","Context (archaeology)","Health care","Nursing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-01","doi":"https://doi.org/10.1093/geroni/igae098.2022","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W2995144647","name":"Technical construction of intelligent processing production line for aircraft structural parts","source":"openalex","abstract":"With the pace of \"German Industry 4.0\" and \"Made in China 2025\", intelligent manufacturing will inevitably become the direction of manufacturing reform, and intelligent processing, as a key link in intelligent manufacturing, is valued by domestic and foreign manufacturing industries. In order to meet the advanced manufacturing technology requirements of the new generation of aircraft manufacturing, this paper analyzes the intelligent manufacturing reform strategy of aviation enterprises from the aspects of digitization, network and intelligence. Coupled with the processing characteristics of aircraft structural parts, the structure of intelligent manufacturing production line for aircraft structural parts is proposed. Explain the use of digitalization, information technology and other technologies to manage processing resources; use digital twin technology to build intelligent processing production lines, use big data, Internet of Things and other technologies to visualize processing data, realize data interconnection, construct intelligent management system, and realize intelligent control. In order to realize the intelligent progress of China’s aviation manufacturing industry.","url":"https://doi.org/10.1063/1.5137889","authors":["Miaomiao Qiao","Biao Meng"],"tags":["Production (economics)","Production line","Computer science","Line (geometry)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1063/1.5137889","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4415559991","name":"From Ground Truth to Digital Twins: AI-Driven Remote Sensing for Scalable Precision Agrochemical Management","source":"openalex","abstract":"Conventional uniform agrochemical application ignores the spatial and temporal varia-bility of soils, causing inefficient input use, yield loss, and environmental degradation. This review synthesizes advances in integrating Artificial Intelligence (AI) and Remote Sensing (RS) for precision soil and agrochemical management, providing a data-driven foundation for sustainable agriculture. By combining multispectral, hyperspectral, and radar data from Landsat-8/9, Sentinel-1/2, and UAV platforms, as examples, with ad-vanced AI algorithms—Random Forest, Support Vector Machines, Convolutional Neural Networks, and Physics-Informed Neural Networks—researchers can predict soil salinity, moisture, nutrients, and organic matter with accuracies often exceeding 90% as some studies indicates. These predictive maps delineate management zones that enable varia-ble-rate application of fertilizers and pesticides, enhancing efficiency and reducing leach-ing, runoff, and greenhouse gas emissions. The review highlights innovations in IoT-based soil sensors, Synthetic Aperture Radar, and multi-sensor data fusion, emphasizing the need for standardized data protocols, scalable AI frameworks, and supportive policy mechanisms. Integrating AI and RS trans-forms reactive agrochemical use into predictive, climate-smart management, improving soil health, resource efficiency, and food security while advancing global sustainability goals.","url":"https://doi.org/10.20944/preprints202510.1798.v1","authors":["Fares M. Howari"],"tags":["Agrochemical","Remote sensing","Environmental science","Synthetic aperture radar","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-24","doi":"https://doi.org/10.20944/preprints202510.1798.v1","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4416454684","name":"The digital organization transformation (DOT) model: bridging digital transformation and organizational structures in construction firms","source":"openalex","abstract":"Digital transformation is a pathway to improve productivity in the construction sector, but organizational structures still need more adaptation. There are no fully developed models at the level of factors and evidence between organizational structures and digital transformation. This paper analyzes the impact of digital transformation on organizational structures within the construction sector, utilizing a semi-structured interview and field inspection methodology to validate key organizational factors and evidence influencing this process. The research focuses on Colombia’s medium and large construction companies and aims to validate an integrated conceptual model of digital transformation and organizational structures. Results indicate that while technological tools have been adopted, the full potential of digital transformation still needs to be explored. The study highlights the factors and evidence that affect the variables of digital transformation and organizational structures. While technological tools are essential, they are unlikely to create a long-term competitive advantage. This research advances the understanding that the integrated implementation of digital transformation and organizational structures, grounded in validated factors and evidence, can drive enhanced decision-making, reduce inefficiencies, and improve productivity within the construction industry.","url":"https://doi.org/10.3846/jcem.2025.24318","authors":["Cristian Camilo Osorio Gómez","Rodrigo F. Herrera","Laura Tūpėnaitė","Eugenio Pellicer"],"tags":["Digital transformation","Organizational structure","Bridging (networking)","Knowledge management","Transformation (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-21","doi":"https://doi.org/10.3846/jcem.2025.24318","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4289829824","name":"Addressing digitalization though out a prototyping framework for agile smart services development: the case of Livorno Port","source":"openalex","abstract":"Abstract One of the crucial challenges of maritime transport is digitalization through the implementation of proper IT solutions. Development and deployment of such solutions allows seaports to increase their overall efficiency, to lower costs and improve performance times of the intra-terminal operations, to improve information flow and decision-making and to decrease the environmental footprint by addressing the sustainability. Nevertheless, the digitalization levels are heterogeneous and depend on different factors, such as seaport size, cargo volumes and type, stakeholders’ needs, business models and investments. We propose a prototyping framework for agile smart service development relying on a set of standard and open-source technologies. The proposed framework is validated at The Port Network Authority of the Northern Tyrrhenian Sea (Port of Livorno) and the transferability of research results is assessed against the Port of Singapore, the most important hub of the Asian region.","url":"https://doi.org/10.1088/1742-6596/2311/1/012007","authors":["Alexandr Tardo","Paolo Pagano","S Antonelli","S Rao"],"tags":["Port (circuit theory)","Agile software development","Software deployment","Service (business)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-01","doi":"https://doi.org/10.1088/1742-6596/2311/1/012007","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410101460","name":"MAINTENANCE OPTIMIZATION IN SMART MANUFACTURING FACILITIES: A SYSTEMATIC REVIEW OF LEAN, TPM, AND DIGITALLY-DRIVEN RELIABILITY MODELS IN INDUSTRIAL ENGINEERING","source":"openalex","abstract":"This study presents a comprehensive systematic literature review aimed at analyzing and synthesizing current advancements, applications, and challenges in maintenance optimization within smart manufacturing facilities. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) framework, a total of 112 peer-reviewed articles published between 2010 and 2024 were rigorously selected and analyzed from major academic databases, including Scopus, Web of Science, IEEE Xplore, ScienceDirect, and Google Scholar. The review focuses on three principal frameworks of maintenance optimization: Lean Maintenance, Total Productive Maintenance (TPM), and digitally-driven models incorporating Artificial Intelligence (AI), Machine Learning (ML), Cyber-Physical Systems (CPS), and Computerized Maintenance Management Systems (CMMS). Sectoral applications in the automotive, aerospace, and food processing industries were closely examined, revealing that predictive maintenance, digital twin technologies, and AI-enabled diagnostics significantly enhance reliability, reduce downtime, and improve overall equipment effectiveness. Furthermore, the study identifies persistent research gaps related to contextual adaptation in small and medium enterprises (SMEs), integration challenges between traditional and digital systems, and the lack of standardized benchmarking methods for evaluating maintenance performance. The findings contribute to a better understanding of the strategic evolution of maintenance from a reactive, cost-centered function to a proactive, data-driven enabler of industrial resilience and sustainability. This review provides actionable insights for practitioners, researchers, and policymakers seeking to align maintenance strategies with Industry 4.0 objectives, while also calling for more inclusive and empirically validated approaches in future research.","url":"https://doi.org/10.63125/xwvaq502","authors":["Md Mahamudur Rahaman Shamim"],"tags":["Lean manufacturing","Total productive maintenance","Manufacturing engineering","Reliability (semiconductor)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"https://doi.org/10.63125/xwvaq502","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7140668043","name":"AI-Driven Digital Twin Framework for Adaptive and Real-Time Structural Health Monitoring of Offshore Marine Structures","source":"openalex","abstract":"Reliable structural health monitoring of offshore jack-up platforms is challenging due to harsh environments, measurement uncertainty, and gradual damage over time. This study proposes an integrated framework combining digital twin technology with a machine learning–based damage identification pipeline for adaptive assessment of jack-up legs. A simplified model using a ten-element Euler–Bernoulli beam represents a 124 m leg with a fixed base. Synthetic datasets were generated by introducing random stiffness reductions in elements 3–8, covering single and multiple damage scenarios with severities of 5–20%. To improve realism, environmental variability and measurement uncertainty were incorporated through temperature variations between −10°C and +30°C together with multiple levels of simulated sensor noise. The signal processing workflow involved detrending, band-pass filtering, Fast Fourier Transform analysis, and adaptive peak detection to extract modal features, including natural frequencies and spectral entropy indicators. These features were used to train a four-layer multilayer perceptron implemented in . Model performance was evaluated using five-fold stratified cross-validation. The classifier achieved an accuracy of 41.0%, a macro-F1 score of 40.1%, and a ROC AUC of 0.8155 on the test dataset, indicating reliable discrimination between healthy and damaged structural states despite environmental variability and measurement noise. In parallel, an adaptive digital twin updating procedure was implemented to refine the numerical model using modal frequency discrepancies. This updating process reduced the root mean square error of frequency prediction from 0.0596 Hz to 0.0554 Hz, corresponding to a 6.98% improvement in predictive consistency between the numerical model and the simulated structural response. The results demonstrate that coupling machine learning based damage classification with digital twin model updating provides a practical pathway toward adaptive monitoring of offshore structures.","url":"https://doi.org/10.65582/aifsc.2026.006","authors":["James Riffat","Kourosh Nazari","Seyed Reza Samaei"],"tags":["Structural health monitoring","Modal","Computer science","Multilayer perceptron","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-25","doi":"https://doi.org/10.65582/aifsc.2026.006","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410069105","name":"Digital Transformation in the Shipping Industry: A Network-Based Bibliometric Analysis","source":"openalex","abstract":"This paper presents a network-based bibliometric analysis of digital transformation in the shipping industry, a sector undergoing rapid change due to advancements in automation, artificial intelligence, blockchain, and Internet of Things. The study synthesizes existing knowledge to identify trends, challenges, and opportunities for industry stakeholders and researchers. Unlike previous literature reviews, this work adopts a graph theory approach applied to a large dataset of scientific publications, without predefined technological or industrial sub-domains. Data were collected from EBSCO, ProQuest, and IEEE eXplore, then refined using OpenAlex to comprise 2293 scientific publications. The analysis includes descriptive statistics, co-authorship network analysis, co-citation network analysis, and thematic analysis. The findings reveal a significant increase in publications since 2005, with exponential growth after 2015. They also suggest a potential inflection point after 2024. A small percentage of authors and institutions account for a disproportionate share of publications, suggesting a skewed distribution of research efforts and encouraging funding agencies to broaden maritime research worldwide. The co-authorship network exhibits a heavy-tail distribution and interconnected communities, indicating extensive national and international collaborations. The co-citation analysis identifies key research areas such as fuel consumption optimization, safety and risk management, and smart port development. Thematic analysis highlights the growing importance of artificial intelligence and cybersecurity.","url":"https://doi.org/10.3390/jmse13050894","authors":["Luca Ferrarini","Ioannis Filippopoulos","Zoran Lajic"],"tags":["Thematic analysis","Network analysis","Descriptive statistics","Scenario analysis","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.3390/jmse13050894","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413941245","name":"The Impact of Digital Marketing Capability on Firm Performance: Empirical Evidence from Chinese Listed Manufacturing Firms","source":"openalex","abstract":"The rapid expansion of e-commerce has pushed firms to adopt more sophisticated digital marketing strategies to reach, engage, and retain consumers. Research has shown that digital marketing significantly enhances firm performance by enhancing marketing-related capabilities, yet overlooks its role in driving transformation across other business functions. Grounded in resource orchestration theory, this study examines how digital marketing resources and capabilities support broader business transformation and comprehensively improve firm performance. Drawing on empirical data from Chinese A-share listed manufacturing firms from 2010 to 2023, this study demonstrates that there is a significant positive relationship between digital marketing capability and firm performance. Notably, this relationship is mediated by production capability and R&D capability. Moreover, the effect is more pronounced in firms operating in highly marketized regions, within competitive industries, and among digitally advanced firms. This study contributes to the digital marketing literature by developing a novel framework for measuring digital marketing capability, and uncovering the mechanisms through which it influences firm performance. In addition, this study contributes to the digitalization literature in the manufacturing sector by demonstrating the strategic role of digital marketing in driving value creation. Implications for digital marketing in manufacturing industry are discussed.","url":"https://doi.org/10.3390/jtaer20030236","authors":["Zhihao Liang","Jinming Du","Ying Hua"],"tags":["Business","Industrial organization","Marketing","Empirical evidence","Digital marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-03","doi":"https://doi.org/10.3390/jtaer20030236","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4390418310","name":"Harnessing the Power of Digital Twins for Enhanced Material Behavior Prediction and Manufacturing Process Optimization in Materials Engineering","source":"openalex","abstract":"The advent of Industry 4.0 and the digital revolution have brought forth innovative technologies such as digital twins, which have the potential to redefine the landscape of materials engineering. Digital twins, virtual representations of physical entities, can model and predict material behavior, enabling enhanced design, testing, and manufacturing of materials. However, the comprehensive utilization of digital twins for predictive analysis and process optimization in materials engineering remains largely uncharted. This research intends to delve into this intriguing intersection, investigating the capabilities of digital twins in predicting material behavior and optimizing manufacturing processes, thereby contributing to the evolution of advanced materials manufacturing. Our study will commence with a detailed exploration of the concept of digital twins and their specific applications in materials engineering, emphasizing their ability to simulate intricate material behaviors and processes in a virtual environment. Subsequently, we will focus on exploiting digital twins for predicting diverse material behaviors such as mechanical properties, failure modes, and phase transformations, demonstrating how digital twins can utilize a combination of historical data, real-time monitoring, and sophisticated algorithms to predict outcomes accurately. Furthermore, we will delve into the role of digital twins in optimizing materials manufacturing processes, including casting, machining, and additive manufacturing, illustrating how digital twins can model these processes, identify potential issues, and suggest optimal parameters. We will present detailed case studies to provide practical insights into the implementation of digital twins in materials engineering, including the advantages and challenges. The final segment of our research will address the current challenges in implementing digital twins, such as data quality, model validation, and computational demands, proposing potential solutions and outlining future directions. This research aims to underline the transformative potential of digital twins in materials engineering, thereby paving the way for more efficient, sustainable, and intelligent material design and manufacturing processes.","url":"https://doi.org/10.55117/bufbd.1303782","authors":["Erkan Tur"],"tags":["Process (computing)","Computer science","Manufacturing engineering","Industrial engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-29","doi":"https://doi.org/10.55117/bufbd.1303782","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4415493591","name":"Human Neuromuscular System Identification Using Functional Electrical Stimulation for the Development of a Digital Twin of the Locomotor System","source":"openalex","abstract":"Introduction Our research group has been developing and applying a human digital twin of the locomotor system and has proposed a simple method for estimating the dynamics of the neuromusculoskeletal system using functional electrical stimulation based on the equilibrium point hypothesis, which focuses on coordination between extensor and flexor muscles. This method defines two parameters: the electrical agonist-antagonist ratio (rE) and sum (sE), representing the ratio and sum of the stimulation intensities applied to the extensor and flexor muscles, respectively. Our previous study showed that the relationship between rE and the evoked force, i.e., the neuromuscular system (NMS), can be approximated by a second-order system with dead time under isometric conditions, and that the NMS parameters vary with sE. However, this variation has not yet been modeled. This study investigates how sE influences the parameters of isometric elbow joint motion with one degree of freedom. Methods Under isometric contraction, we conducted experiments to estimate the parameters of a second-order system, such as proportional gain (Kp), natural frequency (ωn), and damping ratio (ζ), at 15 different sE levels. Data were collected from 10 participants (nine males and one female; mean age: 22.7 ± 0.8 years; all right-handed). For group-averaged and individual data, we fitted models describing the relationship between sE and each parameter. Model performance was evaluated using the corrected Akaike information criterion (AICc) across linear, quadratic, and exponential models. Results For Kp, the quadratic model with a concave shape best fit the group mean data as indicated by the AICc values (linear: -2.78, quadratic: -15.8, and exponential: -14.9). For ωn and ζ, the convex quadratic models best described the group mean (for ωn, linear: 3.30, quadratic: -2.74, and exponential: 3.46; for ζ, linear: -49.8, quadratic: -53.5, and exponential: -49.8). However, at the individual level, some participants exhibited monotonic trends. Discussion For Kp, although the quadratic model provided the best fit for the group mean, the exponential model showed comparable AICc values. Moreover, when summing AICc values across individuals, the exponential model yielded the lowest AICc sum, suggesting that the relationship between Kp and sE can be reasonably approximated by an exponential function. For ωn and ζ, the overall trend with sE was best described by a convex quadratic function. However, due to interindividual differences in muscle properties, some participants did not exhibit a turning point within the tested sE range, resulting in monotonic trends. These convex patterns may be explained by the influence of the refractory period of skeletal muscle fibers. Conclusions The clinical significance of the model obtained in this study lies in its potential to contribute to the development of the human digital twin of the locomotor system. By incorporating dynamics in which each parameter changes in real time with sE​, it may become possible to estimate human movement from electromyographic (EMG) signals. However, because the stimulation frequency used in this study was higher than the EMG frequency, the influence of the refractory period may have been amplified. Future studies should investigate whether similar parameter trends are observed at stimulation frequencies closer to those of EMG signals.","url":"https://doi.org/10.7759/cureus.95270","authors":["Soichiro Hori","Kazuhiro Matsui","Keita Atsuumi","Yoshiki Mori","Hiroaki Hirai","Atsushi Nishikawa"],"tags":["Isometric exercise","Akaike information criterion","Functional electrical stimulation","Medicine","Elbow flexion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-23","doi":"https://doi.org/10.7759/cureus.95270","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7169556595","name":"Agentic AI-enhanced digital twins for Smart City civil infrastructure: A secure, autonomous and auditable management framework","source":"europepmc","abstract":"Smart city implementation increasingly relies on sensing and analytics; however, a persistent operational gap remains between anomaly detection and safe, timely, and accountable intervention in civil infrastructure systems. This paper proposes an Agentic AI-supported Digital Twin framework for smart city civil infrastructure management, where monitoring and action are linked and auditability is maintained. The Digital Twin continuously updates asset and network models of bridges, roads, and water infrastructure using multi-stream telemetry, incorporating state estimation, predictive maintenance, and what-if simulation services. At the orchestration layer, an agent-based Perception-Conceptualization-Action workflow implemented with LangChain and LangGraph enables cross-domain reasoning and coordinated mitigation planning through controlled API calls to municipal data. A permissioned blockchain cryptographically binds observations, approvals, and executed interventions, ensuring provenance, governance, and tamper evidence. To evaluate the framework, 18,000 incident simulations were conducted across five architectural configurations and three scenario complexity levels over 30 independent runs. This simulation study characterises framework behaviour under controlled stochastic conditions and does not constitute real-world operational validation. Ablation analysis isolates each component's contribution, demonstrating that latency and mitigation gains are primarily attributable to multi-agent orchestration, while the blockchain layer drives decision auditability. Across all configurations, the fully agentic system substantially outperforms the rule-based baseline: mean detection latency of 3,197 s vs. 39,374 s, mitigation success rate of 66.2% vs. 45.5%, blockchain-anchored decision justification of 71.8% vs. 0%, and operator workload reduction of 91.7% vs. 0%. These results demonstrate that combining simulation-enabled digital twins with governance-aware agentic orchestration measurably improves response efficiency, recommendation quality, and action accountability within the bounds of a synthetic evaluation environment.","url":"https://doi.org/10.1371/journal.pone.0353610","authors":["Toqeer Ali Syed","Ali Akarma","Ali Alatify","Muhammad Tayyab Naqash","Abdulaziz Alqurashi"],"tags":["Computer science","Orchestration","Smart city","Workflow","Computer security"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1371/journal.pone.0353610","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"oa:W4400985696","name":"Research on the impact of hard technology innovation on the high-quality development of SRDI enterprises: based on the moderating role of digital transformation","source":"openalex","abstract":"Purpose This paper aims to investigate the relationship linking hard technology innovation with the high-quality development (HDP) of SRDI firms. SRDI firms are typically classified as medium-sized to moderately scaled businesses renowned for their specialized, refinement, differentiation and innovation (SRDI), with a focus on providing exceptional products or services to gain a competitive advantage in specific market segments. These firms are dedicated to expanding market share and enhancing innovation capacities both locally and globally. The research also aims to scrutinize the contextual effects of digital transformation within this framework. Design/methodology/approach Hard technology innovation consists of three essential components: innovative characteristics, newly developed technology-based intellectual property rights and the volume of R&D initiatives. The evaluation of HDP was performed utilizing the entropy method, with a specific emphasis on assessing value creation and value management capabilities. Subsequently, this study explores the impact of technological innovation on the HDP of firms using a dual-dimension fixed effects model. Findings Every aspect of hard technology innovation is essential for promoting the HDP of businesses. The digital transformation of businesses exerts a heterogeneous moderating influence in this process. This is evident in the constructive impact on the connection between innovation attributes and the volume of fruitful R&D initiatives, as well as the HDP of firms. Conversely, the moderating effect is deemed insignificant in the association between new technology-based intellectual property and HDP. Originality/value This research delves deeper into the underlying mechanisms that underlie the promotion of HDP through hard technology innovation, thereby expanding the scope of our exploration on the HDP of SRDI firms. It establishes a theoretical framework and practical directives for achieving enhanced development quality amidst the evolving landscape of digital transformation within firms.","url":"https://doi.org/10.1108/apjie-04-2024-0069","authors":["Yanhui Wei","Zhiling Meng","Na Liu","Jianqi Mao"],"tags":["Transformation (genetics)","Quality (philosophy)","Business","Digital transformation","Technology development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-25","doi":"https://doi.org/10.1108/apjie-04-2024-0069","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413795538","name":"Digital Customer Experience Analysis in BeautyTech: Focusing on CES from 2018 to 2025","source":"openalex","abstract":"This study explores the evolving nature of digital customer experiences in the beauty tech industry, focusing on cases presented at CES(Consumer Electronics Show) from 2018 to 2025. As beauty companies increasingly integrate cutting-edge technologies such as AI, AR/VR, and sensors, customer expectations have shifted toward hyper-personalized and emotionally resonant experiences. Notably, Loreal became the first beauty brand to deliver a keynote speech at CES 2024, emphasizing sustainability, inclusivity, and emotion-centered innovation as core values of beauty tech. Through expert triangulation and qualitative case analysis, this research categorizes digital customer experiences into five types: Personalized Experience, Immersive Experience, Sensor-Based Self-Awareness Experience, Emotionally Interactive Experience, and Socially Responsible and Ethical Consumption Experience. These categories reflect a transition from function-driven innovation to human-centered digital engagement. This study not only proposes an integrated framework for analyzing beauty tech experiences but also offers strategic implications for K-beauty brands and global stakeholders. Furthermore, it provides future directions for research and policy in beauty technology, emphasizing the importance of convergence, consumer education, and ethical design.","url":"https://doi.org/10.52660/jksc.2025.31.4.864","authors":["Jeong-Hee Yeong","Haeng-Eun Kim"],"tags":["Business","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-28","doi":"https://doi.org/10.52660/jksc.2025.31.4.864","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W3209738369","name":"The Future of Factories: Different Trends","source":"openalex","abstract":"The technological advancements promote the rise of the fourth industrial revolution, where key terms are efficiency, innovation, and enterprises’ digitalization. Market globalization, product mass customization, and more complex products need to reflect on changing the actual design methods and developing business processes and methodologies that have to be data-driven, AI-assisted, smart, and service-oriented. Therefore, there is a great interest in experimenting with emerging technologies and evaluating how they impact the actual business processes. This paper reports a comparison among the major trends in the digitalization of a Factory of the Future, in conjunction with the two major strategic programs of Industry 4.0 and China 2025. We have focused on these two programs because we have had experience with them in the context of the FIRST H2020 project. European industrialists identify the radical change in the traditional manufacturing production process as the rise of Industry 4.0. Conversely, China mainland launched its strategic plan in China 2025 to promote smart manufacturing to digitalize traditional manufacturing processes. The main contribution of this review paper is to report about a study, conducted and part of the aforementioned FIRST project, which aimed to investigate major trends in applying for both programs in terms of technologies and their applications for the factory’s digitalization. In particular, our analysis consists of the comparison between Digital Factory, Virtual Factory, Smart Manufacturing, and Cloud Manufacturing. We analyzed their essential characteristics, the operational boundaries, the employed technologies, and the interoperability offered at each factory level for each paradigm. Based on this analysis, we report the building blocks in terms of essential technologies required to develop the next generation of a factory of the future, as well as some of the interoperability challenges at a different scale, for enabling inter-factories communications between heterogeneous entities.","url":"https://doi.org/10.3390/app11219980","authors":["Giulio Salierno","Letizia Leonardi","Giacomo Cabri"],"tags":["Factory (object-oriented programming)","Industry 4.0","Business","Interoperability","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-25","doi":"https://doi.org/10.3390/app11219980","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7164368199","name":"Computational tools for personalizing treatment of acute respiratory failure, from machine learning to digital twins: a narrative review","source":"openalex","abstract":"Patient-specific computational tools hold great promise for the development of more personalized treatment strategies for acute respiratory failure. Such tools span a continuum from data-driven predictors, to patient-specific mechanistic models, and ultimately to fully realized digital twins with continuous bidirectional model-patient interactions. Data-driven prediction models apply machine learning to large-scale patient datasets to develop tools that can help clinicians identify patients who are likely, or unlikely, to benefit from a particular course of treatment. By incorporating detailed computational representations of disease pathophysiology, patient-specific mechanistic models can provide insights into the effects of existing or novel treatment strategies, support patient stratification and treatment personalization, and enable the design of in silico clinical trials of new interventions. Finally, fully realized dynamic digital twins of patients could provide real-time decision support and 'simulate-before-treat' capabilities at the bedside, helping clinicians optimize treatment as the patient's disease state evolves. This narrative review provides an overview of recent research applying these approaches in the context of acute respiratory failure, encompassing both respiratory and ventilatory support across neonatal, paediatric and adult populations, and pre-hospital, ward and intensive care environments.","url":"https://doi.org/10.1186/s13054-026-06079-6","authors":["Sina Saffaran","Hang Yu","Hossein Shamohammadi","Liam Weaver","William Joy","Lauren Ketteridge","Beatrice Albanese","Lukasz Regulski","Simon Becker","Don Sharkey","T’ng Chang Kwok","Jonathan G. Hardman","N Yehya","T Mauri","Timothy E. Scott","Roberto Tonelli","Enrico Clini","J G Laffey","Luigi Camporota","Declan G. Bates"],"tags":["Narrative review","Medicine","Context (archaeology)","Machine learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-11","doi":"https://doi.org/10.1186/s13054-026-06079-6","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4390947620","name":"Digital Twins in Healthcare: A Global Perspective on Adoption Trends, Challenges, and Impacts across Public and Private Hospital","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3840366/v1","authors":["Alfonso Marino","Paolo Pariso","Michele Picariello"],"tags":["Perspective (graphical)","Preprint","Health care","Square (algebra)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-17","doi":"https://doi.org/10.21203/rs.3.rs-3840366/v1","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4313596626","name":"A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids","source":"openalex","abstract":"The power system sector is expected to contribute significantly to addressing the global climate change challenge through solutions such as the integration of distributed energy resources with low carbon emissions and demand side management as part of the flexibility solutions. However, the transformations in the power grids necessitate additional solutions to ensure the stable and reliable operation of the grids. Such novel solutions require detailed studies in laboratories before implementation in real grids. Power systems simulations combined with power‐hardware‐in‐the‐loop (P‐HIL) experiments provide a reliable form of conducting such studies. The current article introduces the Energy Grids Simulations and Analysis Laboratory of the Energy Lab 2.0 as a digital framework enabling local and distributed analysis of power grids. The outstanding feature of the laboratory is its ability to connect the simulation of validated networks directly to the real hardware of the Energy Lab 2.0 in form of P‐HIL setups and virtually to distant energy research infrastructures, thus enabling geographically distributed experimental studies. Results of the benchmark case studies show that the communication methods available in the simulation laboratory can be used to accurately set up locally and geographically distributed simulations, as well as for reliably interfacing physical hardware components to real‐time simulations.","url":"https://doi.org/10.1002/ente.202201186","authors":["Michael Kyesswa","Moritz Weber","Friedrich Wiegel","Jan Wachter","Simon Waczowicz","Uwe Kühnapfel","Veit Hagenmeyer"],"tags":["Interfacing","Computer science","Distributed computing","Distributed generation","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-05","doi":"https://doi.org/10.1002/ente.202201186","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4412741557","name":"Development and application of an HBIM method for timber structures integrated with digital technologies","source":"openalex","abstract":"This research proposes an HBIM method that integrates multiple digital technologies to improve the utilization rate of HBIM models in the digital preservation of ancient architecture, thereby effectively enhance the efficiency and quality of conservation work. By employing techniques such as 3D laser scanning, UAV surveying, and finite element simulation analysis, the study accurately acquires data on the architectural form and structural dimensions of ancient buildings. Through this model, the study achieves three-dimensional digital archiving of ancient architecture, mechanical analysis of the overall structure, and simulation of plans. Practice has shown that HBIM technology can provide comprehensive and scientific data support and decision-making basis for the conservation of ancient architecture. It offers valuable practical references for the digital preservation of ancient architecture and has significant practical significance and promotional value.","url":"https://doi.org/10.1038/s40494-025-01925-2","authors":["Lianxin Chen","Chengyuan Dai","Mi Zhou","Jinjin Lu"],"tags":["Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-30","doi":"https://doi.org/10.1038/s40494-025-01925-2","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4417490646","name":"Smart Digital Twin for Energy Efficiency in Buildings Using BIM, IoT and AI: Case Study of Villa in Morocco","source":"openalex","abstract":"This work outlines the creation of an intelligent digital twin for residential Villa that integrates Building Information Modeling (BIM), the Internet of Things (IoT), and Artificial Intelligence (AI) to improve building energy efficiency. A comprehensive 3D model was developed using Revit 2024.3, allowing for solar and energy simulations through Insight and DesignBuilder. Real-time environmental data,such as temperature, humidity, lighting, and occupancy, were gathered via IoT sensors and analyzed using machine learning algorithms to forecast energy consumption patterns and identify anomalies. Based on these insights, automated control strategies for HVAC and lighting systems were implemented to enhance comfort and reduce energy waste. The proposed framework offers a dynamic, scalable, and regulation-compliant solution for smart energy management in Moroccan buildings. Overall, the developed digital twin showcases the practical potential of integrating BIM, IoT, and AI to achieve sustainable and autonomous building operations.","url":"https://doi.org/10.1051/e3sconf/202568000144","authors":["Fatima Zahra Saaidi","Abderrahim Boulanouar","Yves Géraud","Abdelaali Rahmouni"],"tags":["Energy consumption","Efficient energy use","Architectural engineering","Building automation","HVAC"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1051/e3sconf/202568000144","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7170154985","name":"High-definition shoreline digital twin from UAV-LiDAR-MBES fusion and XR-optimised 3D modelling","source":"openalex","abstract":"Understanding and monitoring the land-water interface is critical for navigation safety, shoreline management, and environmental protection in inland waters, yet its consistent digital representation remains challenging because terrestrial and submerged domains are commonly surveyed and analysed separately. This study presents an integrated workflow for constructing a high-definition shoreline geospatial twin from multi-sensor data within a unified RTK-referenced geodetic framework. Centimetre-scale topographic information from UAV photogrammetry and airborne LiDAR is fused with multibeam bathymetry to generate a spatially coherent 3D model of the land-water continuum. The workflow combines field calibration, harmonised horizontal and vertical referencing, topology-preserving surface reconstruction, mesh optimisation, and export to interoperable 3D formats for real-time GIS and XR use. A case study from the Masurian Lake District (Poland) demonstrates sub-decimetre geometric coherence across terrestrial and submerged zones. The study moves beyond static 3D shoreline representation toward an immersive and updateable geospatial twin for analytical exploration and navigation-oriented decision support. A virtual reality module supports exploration, planning, and training, while an augmented reality module enables in situ visualisation of shoreline and bathymetric features for hazard awareness. The framework provides a reproducible basis for inland-water navigation, environmental monitoring, and digital-earth applications.","url":"https://doi.org/10.1080/17538947.2026.2696646","authors":["Tomasz Templin","Dariusz Popielarczyk","Julia Leszczyńska","Tomasz Kozakiewicz"],"tags":["Shore","Geology","Digital elevation model","Remote sensing","Fusion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"https://doi.org/10.1080/17538947.2026.2696646","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"oa:W4367693679","name":"Towards smart layout design for a reconfigurable manufacturing system","source":"openalex","abstract":"Global competition and increased variety in products have created challenges for manufacturing companies. One solution to handle the variety in production is to use reconfigurable manufacturing systems (RMS). These are modular systems where machines can be rearranged depending on what is being manufactured. However, implementing a rearrangeable system drastically increases complexity, among which one challenge with RMS is how to design a new layout for a customized product in a highly autonomous and responsive fashion, known as the layout design problem. In this paper, we combine several Industry 4.0 technologies, i.e., IIoT, digital twin, simulation, advanced robotics, and artificial intelligence (AI), together with optimization to create a smart layout design system for RMS. The system automates the layout design process of RMS and removes the need for humans to design a new layout of the system.","url":"https://doi.org/10.1016/j.jmsy.2023.03.012","authors":["Halldor Arnarson","Hao Yu","Morten Monland Olavsbråten","Bernt Arild Bremdal","Bjørn Solvang"],"tags":["Modular design","Variety (cybernetics)","Process (computing)","Product (mathematics)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-02","doi":"https://doi.org/10.1016/j.jmsy.2023.03.012","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4417045813","name":"Exploring the Integration of IoT and Robotics in Manufacturing: A Scoping Review of Disruptive Technologies","source":"openalex","abstract":"The manufacturing sector is undergoing a paradigm shift driven by the integration of the Internet of Things (IoT), robotics, and advanced technologies such as Digital Twins (DTs), machine learning (ML), and edge computing within the Industry 4.0 framework. This scoping review systematically explores the breadth and depth of research on the disruptive potential of these technologies in manufacturing. Drawing on 14 empirical studies published between 2019 and 2025, we highlight the often-overlooked synergies between IoT and robotics. Following PRISMA guidelines, a comprehensive search of SpringerLink, Science Direct, and Google Scholar was conducted, with data extraction and quality appraisal guided by the Mixed-Methods Appraisal Tool (MMAT). Three thematic areas emerged: IoT-driven optimization, robotics and human–robot collaboration (HRC), and emerging technologies. Findings reveal IoT-enabled cycle time improvements (0.44–1.71%), robotics achieving 9% cycle time reductions with safety metrics (mAP 0.605–0.789), and DTs reporting predictive performance (AUC 0.916). However, challenges persist in data heterogeneity, standardization gaps, and limited real-world validations. This review offers critical insights for manufacturers, researchers, and policymakers to foster scalable and resilient manufacturing ecosystems.","url":"https://doi.org/10.3390/technologies13120566","authors":["Ganiyat Salawu","Bright Glen"],"tags":["Robotics","Artificial intelligence","Standardization","Industry 4.0","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.3390/technologies13120566","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413224587","name":"AI for Humanity: Battling Pandemics with Digital Intelligence","source":"openalex","abstract":"AI for Humanity: Battling Pandemics with Digital Intelligence embarks on a journey across the timeline of some of history's most devastating outbreaks, reformulated by the transformational power of artificial intelligence. Each calamitous event, from the Black Death to a near digital awakening during SARS, from insights via social media frameworks like H1N1 to the stress test of COVID-19, inculcates historical lessons with the technology's current opportunity. Coming across zoonotic threats and antimicrobial resistance, the book shows how having AI has practically become humankind's greatest partner in attempting to predict, check, and most importantly, stop future pandemics even before they begin.","url":"https://doi.org/10.55938/wlp.v2i1.197","authors":["Anita Gehlot","Rajesh Singh","Aashna Sinha","Fraiz Parveen"],"tags":["Humanity","Pandemic","Timeline","Coronavirus disease 2019 (COVID-19)","Event (particle physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-10","doi":"https://doi.org/10.55938/wlp.v2i1.197","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7148875882","name":"Digital Twin-Based Process Optimization and Defect Prediction in Metal Additive Manufacturing for Critical Mechanical Components","source":"openalex","abstract":"Digital twin technology has emerged as a promising route for improving process stability, traceability, and quality assurance in metal additive manufacturing, particularly for safety-critical and high-value mechanical components. This study presents a digital twin-based framework for process optimization and defect prediction in laser powder bed fusion (LPBF) of critical mechanical parts. The proposed framework integrates a process digital thread, in-situ sensing, a simplified thermal–physics model, and a machine-learning-based defect prediction module within a closed-loop optimization architecture. A representative Ti-6Al-4V load-bearing bracket is considered as a case study to demonstrate how the digital twin can monitor layer-wise thermal behavior, estimate defect probability, and recommend improved combinations of laser power, scan speed, hatch spacing, and layer thickness. The study further examines recent developments in digital twin implementation for metal additive manufacturing and shows that current research has progressed from static simulation toward real-time synchronization, sensor fusion, and quality-oriented architectures. However, important challenges remain in model transferability, standards integration, and component-level qualification. The proposed methodology addresses these issues by explicitly linking process parameters to key defect mechanisms, including lack of fusion, keyhole porosity, thermal distortion, and powder-bed irregularity. Illustrative calculations and representative numerical results indicate that the optimized parameter set can reduce predicted porosity, improve density and geometric stability, and maintain practical productivity. Overall, the study demonstrates the potential of digital twins to provide a more reliable and data-driven pathway for manufacturing critical components in aerospace, biomedical, and energy applications.","url":"https://doi.org/10.32996/bjmss.2025.3.2.5","authors":["Md Arman Hossain","Md Abdul Aziz Bhuiyan"],"tags":["Process (computing)","Process optimization","Keyhole","Computer science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-17","doi":"https://doi.org/10.32996/bjmss.2025.3.2.5","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409598066","name":"Integration of Pavement Finite Element simulation with Digital Twin: Current Practices, Emerging Trends, and Future Enablers","source":"openalex","abstract":"In the transition towards Construction 5.0, intelligent systems, such as predictive Digital Twins (DTs), have emerged as a critical solution in infrastructure assets management. This is by leveraging advanced simulations and analytical methods for accurate asset condition prediction. However, while simulations are essential for enabling predictive DTs, existing literature often overlooks the role of pavement simulation within developed DTs. This paper systematically leverages the literature on Finite Element (FE) modelling for pavement performance prediction to assess the current state and practice of simulations, identifies trends in simulation integration, proposes advancements to enhance the incorporation of FE models within DTs, and proposes an architecture for the integration. Finally, the study concludes with a call for future research directions to address existing gaps, aiming to advance DTs for intelligent and sustainable pavement management.","url":"https://doi.org/10.36680/j.itcon.2025.023","authors":["Mohammad Oditallah","Morshed Alam","Palaneeswara Ekambaram","Sagheer Ranjha"],"tags":["Finite element method","Current (fluid)","Engineering","Element (criminal law)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-19","doi":"https://doi.org/10.36680/j.itcon.2025.023","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4210739382","name":"Sustainability of biodegradable plastics: New problem or solution to solve the global plastic pollution?","source":"openalex","abstract":"Plastic usage is increasing the number of pollutants in the environment. Plastic particles and other plastic-based pollutants are found in our environment and food chain, posing a threat to human health. From this perspective, the biodegradable plastics material focuses on creating a more sustainable and greener world with a smaller environmental imprint. This assessment should consider the entire life cycle assessment of the objectives and priorities for producing a wide range of biodegradable plastics. Biodegradable plastics can also have properties similar to traditional plastics while also delivering additional benefits due to their minimised impact on the environment in terms of carbon dioxide, as long as appropriate waste management includes such as composting, are contained. The demand for cost-effective, eco-friendly materials increases to reduce waste management and pollution issues. This study seeks to comprehensively understand biodegradable plastics production and applications research, product prospects, sustainability, sourcing and ecological imprint. Academic and industry interest in biodegradable plastics for sustainability has exploded in recent years. Researchers used the triple bottom line to analyse the sustainability of biodegradable plastics (economic profit, social responsibility, and environmental protection). The research also discusses the variables that influence the adoption of biodegradable plastics and a sustainable framework for improving biodegradable plastics' long-term viability. This study provides a thorough yet simple theoretical design of biodegradable plastics. The research findings and future research endeavours provide a new avenue for further research and contribution to the area.","url":"https://doi.org/10.1016/j.crgsc.2022.100273","authors":["Taofeeq Durojaye Moshood","Gusman Nawanir","Fatimah Mahmud","Fazeeda Mohamad","Mohd Hanafiah Ahmad","Airin AbdulGhani"],"tags":["Sustainability","Plastic pollution","Environmental pollution","Biodegradable plastic","Plastic waste"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.crgsc.2022.100273","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4417224671","name":"Predictive Maintenance and Digital Twins for Greener Power Generation: Case Studies from China, Germany, Norway, and the Netherlands","source":"openalex","abstract":"Predictive maintenance (PdM), supported by artificial intelligence (AI) and digital twin methods, is gaining attention as a practical and cost efficient way to manage power generation assets. In the renewable energy sector, where performance, stability, and cost control are central concerns, PdM enables operators to anticipate equipment faults, schedule interventions more effectively, and reduce unplanned downtime. This paper reviews how such approaches are being applied in four different national contexts: China, Germany, Norway, and the Netherlands, and considers their contribution to cleaner and more reliable energy systems. The discussion highlights several patterns that emerge across these countries. In China, the rapid expansion of wind and solar capacity has driven the use of PdM to improve fault detection and optimize turbine and panel performance. Germany demonstrates how PdM can be integrated into broader energy transition policies, using digital twins and AI to balance fluctuating renewable output with grid demands. Norway shows the value of predictive tools in extending the life and efficiency of hydropower equipment, while the Netherlands illustrates the particular benefits of PdM in offshore wind projects, where remote monitoring and early fault recognition are critical. Evidence from these cases points to three consistent outcomes: improved uptime of renewable assets, measurable reductions in maintenance costs, and smoother integration of intermittent power sources through more advanced grid management. Taken together, these findings suggest that PdM is not only a set of technical tools but also a strategic component in building sustainable, resilient, and economically viable energy systems. Its wider adoption may help accelerate the transition toward low carbon power on a global scale.","url":"https://doi.org/10.11648/j.ijepe.20251405.11","authors":["Agil Mammadov","Yaroslav Danilov"],"tags":["Hydropower","Renewable energy","Engineering","Schedule","Wind power"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-03","doi":"https://doi.org/10.11648/j.ijepe.20251405.11","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7168123239","name":"Modeling Drone-Assisted Subway Fire Evacuation Based on Digital Twin and Human–Fire-Station Interaction","source":"openalex","abstract":"Subway fire evacuations face severe challenges due to high passenger density, spatial unfamiliarity, and toxic smoke, which often render traditional static signage ineffective and cause chaotic congestion. To address this, we propose a drone-assisted evacuation strategy evaluated via a high-fidelity digital twin platform coupling PyroSim and AnyLogic. The developed human–fire-station interaction model integrates CO-induced physiological degradation and a binary logit model to capture bounded-rational decision-making and herding behaviors. Using the Suzhou Olympic Sports Centre Station as a case study, simulations reveal that spatial familiarity’s impact on spontaneous evacuation exhibits strict diminishing marginal returns. Under a realistic low-familiarity scenario (25%), unguided evacuation requires 312 s with severe bottlenecking. Drone guidance actively intercepts this chaos, slashing clearance time to 237 s—a 24.0% improvement in efficiency. Furthermore, aerial directives successfully transform panicked clusters into structured platoons, mitigating stampede risks and ensuring the safe egress of vulnerable demographics. This study provides robust quantitative evidence for integrating unmanned aerial systems into smart transit emergency management, serving as a high-fidelity virtual testbed for future evacuation drills.","url":"https://doi.org/10.3390/electronics15143070","authors":["Rui Qiang","Yinnan Yuan","Weike Lu"],"tags":["Drone","Computer science","Testbed","Emergency evacuation","Simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-13","doi":"https://doi.org/10.3390/electronics15143070","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7143488417","name":"Research on wind deflection risk early warning method of transmission line driven by digital twin and data fusion","source":"openalex","abstract":"To improve the complex dynamic transmission lines monsoon weather environment risk early warning and refinement management capability, this paper proposes a digital twin and multi-source data fusion-driven transmission lines monsoon risk early warning method. First, a multi-source heterogeneous data system is constructed, which integrates meteorological, geographic, line ontology, and real-time monitoring data. Based on high-precision three-dimensional modelling and physical attribute binding technology, the digital twin of transmission lines is established and the bidirectional dynamic mapping between physical entity and virtual model at the geometry, attribute and state levels is realized. Beyond the one-way mapping from physical entity to virtual model, a bidirectional dynamic feedback mechanism is designed: real-time monitoring data continuously update the twin state, while the twin's simulation results (e.g., predicted wind-induced responses) are fed back to guide online sensor calibration and inspection strategies, thereby closing the loop between physical and digital spaces at geometry, attribute, and state levels. Next, the temporal and spatial heterogeneity of multi-source data, which are designed based on the deep learning framework of multimodal data fusion model, realize the weather forecast, the geographical environment, and collaborative analysis and dynamic structural response line deduction. Further, by integrating the dynamic mechanical response of the line with its electrical insulation characteristics, the critical state under monsoon conditions and the corresponding dynamic safety thresholds are defined. A real-time probabilistic risk assessment model is then established, enabling a paradigm shift from static threshold-based early warning to dynamic, evolution-based risk early warning. Finally, selecting typical typhoon influence area on the southeastern coast of China's 220 kv transmission line, the presented method is introduced in detail, from the front-end data integration, twin model driven, fusion algorithm operation to the early warning information to generate the whole process of application, and through comparing analysis of early warning effectiveness, more groups of data form. The results show that the warning accuracy of the proposed method is 92.3% and the average effective warning advance time is 98 minutes. Compared with the traditional warning method based on wind speed at meteorological stations, the spatial accuracy and time resolution of the proposed method are significantly improved, which provides more accurate and reliable decision support for the disaster prevention and mitigation and intelligent operation and maintenance of the power grid under extreme weather.","url":"https://doi.org/10.3934/environsci.2026012","authors":["Wulue Zheng","Qingpeng Chen","Xin Zhang","Wenjun Yuan","Hao Chen"],"tags":["Warning system","Computer science","Real-time computing","Sensor fusion","Dynamic data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.3934/environsci.2026012","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413993478","name":"Sustainability of AI-Assisted Mental Health Intervention: A Review of the Literature from 2020–2025","source":"openalex","abstract":"This systematic review examines the role of artificial intelligence (AI) in the development of sustainable mental health interventions through a comprehensive analysis of literature published between 2020 and 2025. In accordance with the PRISMA guidelines, 62 studies were selected from 1652 initially identified records across four major databases. The results revealed four dimensions critical for sustainability: ethical considerations (privacy, informed consent, bias, and human oversight), personalization approaches (federated learning and AI-enhanced therapeutic interventions), risk mitigation strategies (data security, algorithmic bias, and clinical efficacy), and implementation challenges (technical infrastructure, cultural adaptation, and resource allocation). The findings demonstrate that long-term sustainability depends on ethics-driven approaches, resource-efficient techniques such as federated learning, culturally adaptive systems, and appropriate human-AI integration. The study concludes that sustainable mental health AI requires addressing both technical efficacy and ethical integrity while ensuring equitable access across diverse contexts. Future research should focus on longitudinal studies examining the long-term effectiveness and cultural adaptability of AI interventions in resource-limited settings.","url":"https://doi.org/10.3390/ijerph22091382","authors":["Danicsa Karina Espino Carrasco","María del Rosario Palomino Alcántara","Carmen Graciela Arbulú Pérez Várgas","Briseidy Massiel Santa Cruz Espino","Luis Jhonny Dávila Valdera","Cindy Vargas Cabrera","Madeleine Espino Carrasco","Anny Dávila Valdera","Luz Mirella Agurto Córdova"],"tags":["Mental health","Sustainability","Environmental health","Intervention (counseling)","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-04","doi":"https://doi.org/10.3390/ijerph22091382","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413035000","name":"Digital traceability in horticulture: a systematic review of edge-cloud-blockchain-terminal (ECBT) integration with IoT and AI technologies","source":"openalex","abstract":"Global horticultural supply chains face escalating vulnerabilities from pathogenic outbreaks, climate disruptions, and regulatory demands. This systematic mini-review examines the Edge-Cloud-Blockchain-Terminal (ECBT) framework—an integrated architecture positioning blockchain as the trust backbone connecting distributed computing, edge intelligence, and user terminals—for comprehensive traceability. Following PRISMA guidelines, we analyzed 40 high-quality studies selected from 156 peer-reviewed articles retrieved from Web of Science, Scopus, and IEEE Xplore databases (2022–2025) using combined technology (“IoT” OR “blockchain” OR “AI” OR “edge computing”) and application (“traceability” OR “supply chain”) search terms. Technology coverage analysis revealed fragmented adoption: IoT dominates (45%, n = 18), followed by blockchain (32%, n = 13) and AI/ML (23%, n = 9), with only 3% achieving full ECBT integration despite demonstrated benefits. Blockchain implementations achieve 94.2% storage optimization through selective anchoring while maintaining cryptographic verification, with latency reduced by 73% through the CRPBFT consensus mechanism. While edge computing achieves a 65% reduction in latency, its integration with blockchain’s global state management presents persistent architectural challenges. Critical barriers persist: technical interoperability (23% metadata loss in cross-chain transitions), economic exclusion (42% of smallholder annual income for deployment), and scalability constraints (processing 47 million daily data points). The review identifies blockchain’s triple role as trust orchestrator, semantic preservator, and incentive aligner as key to overcoming the integration paradox. Future research should focus on agricultural-specific consensus, semantic interoperability, and inclusive deployment models to resolve the integration paradox.","url":"https://doi.org/10.3389/fbloc.2025.1636627","authors":["Yan Huang","Xin Li","Lei Xu","Yongqiang Ma"],"tags":["Traceability","Blockchain","Cloud computing","Internet of Things","Terminal (telecommunication)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-07","doi":"https://doi.org/10.3389/fbloc.2025.1636627","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4415684350","name":"The Impact of Focal Firm Digitalization on Supply Chain Resilience: A Supply Chain Collaboration Perspective","source":"openalex","abstract":"In the context of a complex and volatile domestic and global environment, Chinese enterprises face frequent risks of supply chain disruption that seriously hinder their operations. The rise of the digital economy offers new opportunities to strengthen supply chain resilience. Building on supply chain collaboration and value co-creation theories, this study conceptualizes supply chain collaboration through three dimensions, namely information collaboration, governance collaboration, and innovation collaboration, and explores their role in enhancing resilience. Using panel data of Chinese A-share listed firms from 2011 to 2023, this study investigates the impact of focal firm digitalization on supply chain resilience and its underlying mechanisms. The results indicate that focal firm digitalization generates significant backward spillover effects, enhancing the resilience of its upstream suppliers. Although its positive influence on supply chain stability (measured by supply chain demand and supply fluctuations) is not statistically significant, it substantially enhances recovery (measured by supply chain efficiency) and adaptability (measured by supplier innovation). Mechanism analysis further reveals that digitalization strengthens supply chain collaboration through information, governance, and innovation channels, thereby reinforcing resilience. Moreover, the positive effects are heterogeneous, varying with industry competition intensity, the closeness of upstream–downstream relationships, and suppliers’ regional resource endowments. These findings highlight the need to design digitalization strategies centered on focal firm leadership and upstream–downstream collaboration, thereby advancing both resilience improvement and collaborative mechanism development through differentiated and targeted approaches.","url":"https://doi.org/10.3390/su17219505","authors":["Jia-Xing Duan","Wen-Xiu Hu","Zhigang Zhang"],"tags":["Supply chain","Business","Industrial organization","Supply chain risk management","Demand chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-25","doi":"https://doi.org/10.3390/su17219505","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410120723","name":"Application of data twinning based on deep time series model in smart city traffic flow prediction","source":"openalex","abstract":"This paper introduces an intelligent traffic flow prediction system that combines data twinning and deep learning, aiming to improve the prediction accuracy and model adaptability by integrating grey prediction model (GM(1,1)), long-short-term memory network (LSTM) and particle swarm optimization (PSO). The system construction starts from physical layer data acquisition, deals with missing data through smoothing and interpolation, and applies the GM(1,1) model to construct a digital twin layer for preliminary prediction. The information fusion mechanism combines real-time data and forecast data to optimize the model inputs, and the PSO algorithm is used to optimize the model parameters. The LSTM model is used as a deep time-series model, and combined with the output of the data twin prediction to make a comprehensive prediction, and at the same time, feature engineering is utilized to enhance the model performance. The system implements dynamic feedback adjustment to optimize the model in real time according to the prediction error. Empirical analysis shows that the LSTM model with integrated data twin (LSTM + DT) outperforms the traditional model in prediction accuracy, stability, and generalization ability, especially in peak hours, holidays, and emergency response, and provides a reliable solution for intelligent traffic management despite the long training time.","url":"https://doi.org/10.1007/s43926-025-00144-2","authors":["Li Gao"],"tags":["Series (stratigraphy)","Time series","Computer science","Flow (mathematics)","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-06","doi":"https://doi.org/10.1007/s43926-025-00144-2","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413796002","name":"Digital Heritage from a Socio-Technical Systems Perspective: Integrated Case Analysis and Framework Development","source":"openalex","abstract":"Digital heritage (DH) research serves as a bridge between technological applications and broader cultural, social, and policy issues. A comprehensive understanding of DH requires the integration of multiple fields. To address this, this work applies a socio-technical systems (STS) perspective to DH as a strategy to bridge the technological and social aspects. It first examines how DH functions as STSs, analyses the dynamic interactions between technological and social subsystems, and explains the need to achieve joint optimisation to tackle the complexity of DH research. Second, a comparative analysis of six STS models is conducted, using the Venice Time Machine project as a representative case, to explore both the potential and limitations of STSs as a theoretical framework for DH. Third, STS theory is applied to emphasise that the approach needs to incorporate cultural expression, technological feasibility, diverse stakeholder interests, and long-term adaptability in order to address the complexity of current DH challenges. Finally, an STS-DH framework is proposed to guide the design, implementation and evaluation of DH projects using the elements identified through the present analysis. This work extends STS theory applications to cultural heritage digitisation; provides stakeholders with new practical tools; recognises the lack of empirical research in this field and highlights the need for further research.","url":"https://doi.org/10.3390/heritage8090348","authors":["Junwen Lu","Guillermo García-Badell","Joan B. Rodriguez"],"tags":["Bridge (graph theory)","Cultural heritage","Stakeholder","Field (mathematics)","Adaptability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-27","doi":"https://doi.org/10.3390/heritage8090348","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W3138656701","name":"Learning from failures in cruise ship industry: The blackout of Viking Sky in Hustadvika, Norway","source":"openalex","abstract":"This article brings to attention learning from the failure - blackout, loss of propulsion and near grounding - of Viking Sky cruise ship which occurred in Hustadvika, Norway, in March 2019. Failures and accidents in the cruise ship industry attract the global media and can severely impact reputation and business performance of companies and authorities involved. A system approach investigation and analysis - CAST - was employed with the aim to maximize learning from the Viking Sky’s failure through a systematic approach and to contribute to failure reduction in the cruise ship industry. Three main recommendations emerged from this study: an overview of the accident or failure precursors and resilience indicators; safety recommendations for other cruise ships; lessons and strategies of actions for the increased cruise operations in the Arctic and Antarctic areas. It was found that several accident or failure precursors, for example, a low level of lubricating oil, the failure of a turbocharger, an inoperative large diesel generator, lack of functionality for safety equipment due to bad weather, and others precursors contributed to failure and highly critical situation encountered by Viking Sky in Hustadvika. Resilience indicators such as the master’s immediate decision to launch mayday, the crew preparedness, and the way how the emergency situation was handled were found to have positive impacts on critical situation of Viking Sky. This article highlights also that adaptations and improvement of standards and regulations for harsh environmental conditions can play an important role in prevention of marine accidents. Furthermore, for a better understanding of correlation between environmental loads and their effects on machinery systems, digital solutions such as digital twin for condition monitoring of cruise ships in the Polar areas are seen as possible innovative solutions yet to be fully implemented in the marine industry.","url":"https://doi.org/10.1016/j.engfailanal.2021.105355","authors":["Michaela Ibrion","Nicola Paltrinieri","Amir R. Nejad"],"tags":["Blackout","Cruise","Sky","Aeronautics","Meteorology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-18","doi":"https://doi.org/10.1016/j.engfailanal.2021.105355","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4412880429","name":"Digital Twin-Driven Virtual Cinematography: Statistical Analysis of Camera Techniques for Enhanced Narrative Engagement in Drama Production","source":"openalex","abstract":"Camera techniques and angles are essential for shaping the visual narrative of digital media productions, especially in dramatic films. The traditional methods for selecting the best camera angles often depend on subjective decisions, leading to expensive and time-consuming trial-and-error processes. This study presents a novel approach using the Digital Twin (DT) technology to simulate and evaluate the effects of various camera techniques and angles in a virtual production environment. A two-way Analysis of Variance (ANOVA) was employed to investigate the impact of nine imaging techniques and three camera angles (X, Y, Z) on the cinematic quality. The results indicate that the Y-axis angle has a significant influence on the visual and emotional impact of dramatic scenes, with an F-value of 36,305.71 and a p-value of 0.000, indicating a strong relationship. Additionally, the interaction between the camera distance and angle demonstrated a significant effect, with an F-value: 198.07 and p-value: 0.000. By leveraging the DT simulations, filmmakers can reduce the production costs by up to 30% and improve the decision-making efficiency during pre-production. This research establishes a groundbreaking framework for integrating data-driven virtual production into filmmaking, providing a systematic and scalable method to enhance cinematic storytelling.","url":"https://doi.org/10.48084/etasr.11745","authors":["Nugrahardi Ramadhani","Didit Prasetyo","Mochamad Hariadi","Anindya Khrisna Wardhani","Intan Rizky Mutiaz"],"tags":["Cinematography","Drama","Narrative","Computer graphics (images)","Art"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-02","doi":"https://doi.org/10.48084/etasr.11745","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7134078755","name":"GIS in transportation infrastructure: a systematic review and bibliometric analysis of construction, management, and digital integration","source":"openalex","abstract":"Geographic Information Systems (GIS) have evolved from static mapping tools into integrated platforms supporting the full lifecycle of transportation infrastructure. However, systematic syntheses comparing GIS applications across transportation modes and technological paradigms remain limited. This study presents a systematic review and bibliometric analysis of 3091 Scopus-indexed publications published between 2000 and April 2025. Using co-authorship, co-word, and thematic evolution analyses in VOSviewer and Bibliometrix, five dominant research clusters are identified: GIS-based transportation planning and decision support; environmental pollution and public health impacts; environmental and natural resource management; user mobility behaviour and urban planning; and transportation-related soil pollution and chemical risk assessment. Sectoral analysis reveals strong disparities, with road transportation dominating the literature (65.7%), followed by bridges (7.1%) and railways (4.7%). The results further indicate a clear shift towards integrating GIS with emerging digital technologies, including BIM, IoT, artificial intelligence, and digital twin frameworks, enabling real-time monitoring and data-driven decision support. International collaboration networks highlight the United States and China as central research hubs. The study synthesises these findings into a GIS-enabled framework and identifies critical gaps in multimodal integration, real-time interoperability, and geographic coverage.","url":"https://doi.org/10.1080/27669645.2026.2637588","authors":["Ha Trung Hieu","Khanh Le"],"tags":["Computer science","Data science","Field (mathematics)","Geographic information system","Data integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-06","doi":"https://doi.org/10.1080/27669645.2026.2637588","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7116891329","name":"Mapping digital transformation and social impact in Italian healthcare: a holistic evaluation of organizational digital maturity","source":"openalex","abstract":"CONTEXT: Digital transformation (DT) is a key driver of innovation in the healthcare sector, as it improves efficiency, quality, and patient outcomes. In the Italian public healthcare system, assessing digital organizational maturity is essential to evaluate the readiness and ability to effectively implement DT, particularly in chronic care management. METHODS: This study used a multi-case approach to assess the digital organizational maturity of four Italian healthcare cases: \"Silver Age - Multiple Screening\", \"Telemedicine for Chronic Disease Care\", \"Diabetes Network\" and \"Digital Healthcare Ecosystem\". The assessment applied a holistic maturity model comprising four sequential stages: awareness, readiness, planning, and execution. Data collection included direct observations, semi-structured interviews with organizational stakeholders, and analysis of institutional documents. RESULTS: The analysis revealed different levels of digital maturity across the cases. Notable strengths were observed in strategic alignment and innovation, particularly in the \"Digital Healthcare Ecosystem\". However, challenges remain in terms of scalability, interoperability, and comprehensive data management. Cases such as \"Silver Age - Multiple Screening\" identified critical gaps in stakeholder alignment and process integration, while \"Telemedicine for Chronic Disease Care\" demonstrated significant results in reducing hospital admissions but encountered barriers to adoption by end users. CONCLUSIONS: The findings highlight the critical role of structured digital maturity assessments in guiding healthcare organizations on their transformation journey. Addressing integration, workforce training, and strategic alignment is essential to achieving scalable and sustainable DT, especially in contexts involving chronic care management. This study underscores the value of a comprehensive maturity model for identifying gaps and providing targeted improvement strategies.","url":"https://doi.org/10.1186/s12913-025-13473-3","authors":["Caterina Galdiero","Rosario Marrapodi","Stefania Mele","Alessandro Scaletti","Marcello Martinez"],"tags":["Health informatics","Maturity (psychological)","Nursing research","Capability Maturity Model","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-23","doi":"https://doi.org/10.1186/s12913-025-13473-3","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7119474782","name":"Digital twins technology in endodontics: from reactive to predictive – a new frontier towards personalised root canal treatment","source":"openalex","abstract":"","url":"https://doi.org/10.1038/s41415-025-9456-y","authors":["Mohammed Turky","Paul M H Dummer"],"tags":["Interoperability","Root canal","Root (linguistics)","Leverage (statistics)","Root cause analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-09","doi":"https://doi.org/10.1038/s41415-025-9456-y","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410001254","name":"Investigating the Impact of Digitalization on Resource Use, Energy Use, and Waste Reduction Towards Sustainability: Considering Environmental Awareness as a Moderator","source":"openalex","abstract":"Today’s world is characterized by rapid technological advancements and escalating ecological concerns including soil and water contamination, acidification, biodiversity loss, excessive waste, etc.; a need is continuously increasing to mitigate these issues and promote sustainability. This study investigated the impact of digitalization on resource use, energy use, waste reduction, and the moderating role of environmental awareness towards sustainability in the manufacturing sector of Pakistan. A quantitative-based approach was used and primary data were collected from the 650 managerial-level manufacturing sector employees from Pakistan by using a closed-ended questionnaire and purposive sampling. Structural equation modeling (SEM) using SmartPLS-4 was employed to analyze the data. Digitalization showed positive and significant effects on energy efficiency, waste reduction, and optimal resource utilization—all of which were significantly associated with sustainability. In addition, the results also showed that environmental awareness functions as a moderator, influencing the impact of digital technologies on resource use, energy use, and waste reduction. The study highlights the potential of digitalization for promoting sustainability by enhancing resource consumption efficiency in the manufacturing industry. It also underscores the importance and need for environmental awareness in adopting digital transformation. The study has major implications for governments, engineers, policymakers, and researchers to promote digital transformation in the manufacturing sector and provide support in accomplishing the Sustainable Development Goals, i.e., SGD-7, SDG-9, SDG-11, and SDG-12.","url":"https://doi.org/10.3390/su17094073","authors":["Ghadeer Alsanie"],"tags":["Sustainability","Moderation","Resource use","Environmental economics","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.3390/su17094073","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7122746695","name":"From Automation to Autonomy: A Digital Twin Framework for Transparent Agent and Human Collaboration in Industrial Multi-Agent Systems","source":"openalex","abstract":"With the advancement of digitization in the era of Industry 4.0 (I4.0), highly automated, semi-autonomous, and fully autonomous systems are emerging. Within this context, multi-agent systems (MAS) offer a promising approach for automating tasks and processes based on autonomous agents that work together in an overall system to increase the degree of system autonomy stepwise in a modular and flexible way. A critical research challenge is determining how these agents can collaboratively engage with both other agents and human operators to facilitate the gradual transition from automated to fully autonomous industrial systems. To close transparency and connectivity gaps, this study contributes with a framework for the collaboration of agents and humans in increasingly autonomous MAS based on a Digital Twin (DT). The framework specifies a standards-based data model for MAS representation and proposes to introduce a DT infrastructure as a service layer for system coordination, supervision, and interaction. To demonstrate the feasibility and assess the quality of the framework, it is implemented and evaluated in a case study in a real-world industrial scenario. Although additional long-term evaluations across different contexts are needed, the assessment of functional completeness and selected quality attributes show that the proposed framework provides a solid technical foundation that facilitates a transparent and seamless collaboration between agents and humans within increasingly autonomous industrial MAS.","url":"https://doi.org/10.3390/systems14010076","authors":["Inga Miadowicz","Mathias Kuhl","Daniel Maldonado Quinto","Robert Pitz-Paal","Michael Felderer"],"tags":["Automation","Transparency (behavior)","Computer science","Digitization","Modular design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-11","doi":"https://doi.org/10.3390/systems14010076","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4413331093","name":"A Credibility-Based Self-Evolution Algorithm for Equipment Digital Twins Based on Multi-Layer Deep Koopman Operator","source":"openalex","abstract":"In the context of Industry 4.0 and intelligent manufacturing, the scale and complexity of complex equipment systems are continuously increasing, making effective high-precision modeling, simulation, and prediction in the engineering field significant challenges. Digital twin technology, by establishing real-time connections between virtual models and physical systems, provides strong support for the real-time monitoring, optimization, and prediction of complex systems. However, traditional digital twin models face significant limitations when synchronizing with high-dimensional nonlinear and non-stationary dynamical systems due to the latter’s dynamic characteristics. To address this issue, we propose a multi-layer deep Koopman operator-based (MDK) credibility-based self-evolution algorithm for equipment digital twins. By constructing multiple time-scale embedding layers and combining deep neural networks for observability function learning, the algorithm effectively captures the dynamic features of complex nonlinear systems at different time scales, enabling their global dynamic modeling and precise analysis. Furthermore, to enhance the model’s adaptability, a trustworthiness-based evolution-triggering mechanism and an adaptive model fine-tuning algorithm are designed. When the digital twin model’s trustworthiness assessment indicates a decline in prediction accuracy, the evolution mechanism is automatically triggered to optimize and update the model with the fine-tuning algorithm to maintain its stability and robustness during dynamic evolution. The experimental results demonstrate that the proposed method achieves significant improvements in prediction accuracy within unmanned aerial vehicle (UAV) systems, showcasing its broad application potential in intelligent manufacturing and complex equipment systems.","url":"https://doi.org/10.3390/app15169082","authors":["Hongbo Cheng","Zhang Li","Kunyu Wang","Han Lu","Yihan Guo"],"tags":["Credibility","Computer science","Operator (biology)","Algorithm","Layer (electronics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-18","doi":"https://doi.org/10.3390/app15169082","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4412092539","name":"Underwater Digital Twin of Yuba Island: Mapping a Large-Scale Marine Ecosystem through Photogrammetry and 3D Modeling","source":"openalex","abstract":"Abstract. The project involved creating a high-resolution digital twin of the underwater environment surrounding Yuba Island, a pristine site in the Red Sea, Saudi Arabia. The goal was to replicate the experience of diving in this environment, 3D mapping approximately 147 ha underwater and 290 ha above water, completed within six months. The 3D model was designed to be highly accurate, featuring true-to-life textures and colors, and georeferenced with a depth accuracy of ±0.10 m relative to local Mean Sea Level (MSL). The mapping covered coral reefs, fringing reefs, pinnacles, sand, caves, channels, and overhead environments, covering depths from 0.5 m to 70 m, mapped at 4.5 m2/s and 1 mm/px resolution. Over 100 local fish species were documented, 3D-modeled, and incorporated with behavioral metadata to simulate natural marine life. Final deliverables included Cesium tilesets, a Virtual Reality (VR) Cube experience, and a desktop version of the model. The project team included specialists in underwater photogrammetry, commercial diving, marine biology, oceanography, software development, data engineering, and VR design, all working together to deliver the Underwater Digital Twin within the six-month timeline.","url":"https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-87-2025","authors":["Christoph Gerigk"],"tags":["Underwater","Photogrammetry","Scale (ratio)","Marine engineering","Remote sensing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-07","doi":"https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-87-2025","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4414091483","name":"Digital Transformation Drives Regional Innovation Ecosystem Resilience: A Study Based on the Dynamic QCA Method","source":"openalex","abstract":"In an era marked by volatility, uncertainty, complexity, and ambiguity, constructing resilient regional innovation ecosystems is identified as a critical strategic imperative for achieving high-quality development and advancing sustainable development goals. Drawing on the Technology–Organization–Environment (TOE) integrative framework, this study examines six antecedent conditions of ecosystem resilience from the perspective of digital transformation: digital infrastructure, digital innovation capacity, digital human capital, digital government governance, digital attention, and digital finance. A sample of 48 prefecture-level cities from the Beijing–Tianjin–Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations in China between 2018 and 2022 is selected. Through the application of dynamic Qualitative Comparative Analysis (QCA), the study explores the multiple configurations across temporal and spatial dimensions through which technological, organizational, and environmental factors contribute to enhancing regional innovation ecosystem resilience. The results indicate that ecosystem resilience is jointly driven by multiple interacting factors, and no single condition is found to be necessary. Four distinct causal pathways are identified as sufficient to enhance resilience: (1) a triadic synergy of technology, organization, and environment; (2) a technology-driven, talent-supported configuration; (3) a technology-driven, government-supported configuration; and (4) a dual technology–environment-driven model. While none of the configurations exhibit consistent temporal effects, some are influenced by unobserved factors in specific years. Moreover, cities do not converge on a single dominant configuration when achieving high levels of ecosystem resilience.","url":"https://doi.org/10.3390/su17188148","authors":["Yunan Wang","Jing Xiao","Zhihong Xu"],"tags":["Urban agglomeration","Ecosystem","Resilience (materials science)","Dual (grammatical number)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-10","doi":"https://doi.org/10.3390/su17188148","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7203628919","name":"Digital Twin-Based Imitation Learning for Human-Like and Efficient Driving of Mobile Robots in Virtual Factory Environments","source":"openalex","abstract":"Abstract In smart manufacturing and flexible production systems, autonomous mobile robots must complete logistics tasks efficiently while exhibiting driving behaviors that human operators can interpret and accept. This study proposes a simulation-based digital-twin imitation learning framework for learning human-like driving patterns in virtual factory environments. The proposed system is built on the proximal policy optimization algorithm and integrates generative adversarial imitation learning to establish a dual-reward structure that combines extrinsic rewards with demonstration-derived intrinsic rewards. Evaluation was conducted on seven virtual factory routes, including loop, test, serpentine aisle, junction, narrow U-turn, loop-short cut, and asymmetric layouts. The study also compares the method with behavior cloning and DAgger and analyzes intrinsic reward strength at five different levels (0, 0.001, 0.1, 0.5, and 1.0). To rigorously evaluate performance, operational metrics, such as completion rate, cycle time, collision count, shortcut use, path length, and an energy proxy, were measured, while the dynamic time warping algorithm was used to quantify the similarity between human trajectories and the AI agent’s paths. Experimental results demonstrate that stronger imitation rewards can improve trajectory similarity on several maps, but they also introduce efficiency and robustness trade-offs across route topologies. This research provides a methodology for pre-training Physical AI in a simulation-based environment, offering a tunable approach to balance task efficiency and human-like behavior before actual field deployment.","url":"https://doi.org/10.1007/s12541-026-01611-8","authors":["Seunghwa Song","Woojin Kwon","Juyoung Oh","Hyungjung Kim","Jun Lee"],"tags":["Computer science","Factory (object-oriented programming)","Artificial intelligence","Robot","Robustness (evolution)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-17","doi":"https://doi.org/10.1007/s12541-026-01611-8","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W7168270499","name":"From wearables to digital twins: the digital transformation of cardiovascular prevention: ESC Digital & AI Summit 2025","source":"openalex","abstract":"We thank our colleagues for their thoughtful and constructive comments on our review [1]. We address the four points raised in turn. Stratification of clinical evidence. Our article was written as a narrative review under the SANRA framework, not as a formal evidence grading exercise. Its purpose was to introduce clinicians to AI (artificial intelligence) concepts and applications in an accessible way, while highlighting that the field is still evolving. The methodological breadth of the cited studies reflects the current state of the field, in which proof-of-concept work and emerging validation studies legitimately coexist. We agree that readers benefit when distinctions between exploratory findings and more mature validation work are made as explicit as possible, and we believe the Key Messages and Risks and Pitfalls sections already emphasize the need for human oversight and careful interpretation. Large language model failure modes. We agree that LLM (large language models) limitations deserve prominent attention in clinical contexts. In the review, we explicitly note that ChatGPT is not fully reliable for nutritional advice, describe the hemodialy-sis menu example reported by Chatelan and colleagues, and state that such tools cannot be used without expert oversight. We also recommend cross-checking outputs against established guidelines such as ESPEN. Operationalizing HITL (Human-in-the-Loop) oversight. We agree that effective oversight requires more than a general principle. At the same time, specific review criteria, override thresholds, and documentation standards are typically determined by institutional governance, local workflows, and regulatory context. Our intent was to introduce HITL as a foundational safeguard and to illustrate its clinical relevance, rather than to prescribe implementation protocols that necessarily vary across healthcare systems and clinical fields. Bias and population-specific validation. We agree that this is an important point. AI models in clinical nutrition must be validated in populations that reflect the intended clinical use. Population-specific reference standards for anthropometric parameters make underrepresentation in training data a concrete clinical safety issue rather than an abstract ethical concern, as the GLIM acknowledgment of Asian-specific cutoffs already illustrates. The review highlights possible biases and cites these population-specific considerations, and we appreciate the opportunity to sharpen this message further as a prerequisite for deployment rather than a future aspiration. In conclusion, we are grateful for the thoughtful critique. We believe it strengthens the discussion around evidence hierarchy, LLM safety, workflow governance, and population validation, all of which are central to responsible AI integration in clinical nutrition.","url":"https://doi.org/10.1093/eurjpc/zwag009","authors":["Nico Bruining","Sevda Ece Kizilkilic","Paul Dendale"],"tags":["Summit","Medicine","Digital transformation","Wearable computer","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-12","doi":"https://doi.org/10.1093/eurjpc/zwag009","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4389292616","name":"Realizing Excellence in Enterprise Management through Digital Innovation","source":"openalex","abstract":"With the rapid development of digital technology, enterprise management is facing more and more challenges and opportunities. Therefore, digital enterprise management has become an inevitable trend in the current transformation and upgrading of enterprises. The rapid development and application of digital technology has facilitated the transformation and upgrading of the way enterprises are managed. The aim of this paper is to explore the advantages, challenges and key technologies of digital enterprise management, and to propose a complete framework design for digital enterprise management. Based on this, the application of digital enterprise management in areas such as supply chain management, production planning and scheduling, marketing management and financial management is proven to be significantly effective through practical application cases and experimental validation. The results of this paper show that digital enterprise management can significantly improve enterprise management efficiency, optimise resource utilisation and enhance the core competitiveness of enterprises, and is of great practical significance.","url":"https://doi.org/10.33168/jliss.2023.0214","authors":[],"tags":["Excellence","Business","Knowledge management","Innovation management","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-02","doi":"https://doi.org/10.33168/jliss.2023.0214","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4410279384","name":"Simulating Pulp Vitality Measurements via Digital Optical Twins: Influence of Dental Components on Spectral Transmission","source":"openalex","abstract":"Optical diagnostic techniques represent an attractive complement to conventional pulp vitality tests, as they can provide direct information about the vascular status of the pulp. However, the complex, multi-layered structure of a tooth significantly influences the detected signal and, ultimately, the diagnostic decision. Despite this, the impact of the various dental components on light propagation within the tooth, particularly in the context of diagnostic applications, remains insufficiently studied. To help bridge this gap and potentially enhance diagnostic accuracy, this study employs digital optical twins based on the Monte Carlo method. Using incisor and molar models as examples, the influence of tooth and pulp geometry, blood concentration, and pulp composition, such as the possible presence of pus, on spectrally resolved transmission signals is demonstrated. Furthermore, it is shown that gingival blood absorption can significantly overlay the pulpal measurement signal, posing a substantial risk of misdiagnosis. Strategies such as shifting the illumination and detection axes, as well as time-gated detection, are explored as potential approaches to suppress interfering signals, particularly those originating from the gingiva.","url":"https://doi.org/10.20944/preprints202505.0596.v1","authors":["David Hevisov","Thomas P. Ertl","Alwin Kienle"],"tags":["Vitality","Pulp (tooth)","Transmission (telecommunications)","Materials science","Dentistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-08","doi":"https://doi.org/10.20944/preprints202505.0596.v1","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4406247928","name":"Applications of Digital Technologies in Promoting Sustainable Construction Practices: A Literature Review","source":"openalex","abstract":"In recent years, the applications of digital technologies in sustainable construction have gained increasing interest. However, no comprehensive literature review has been conducted. Thus, this paper analyzes 990 relevant articles in this regard published from 2014 to 2023 by using CiteSpace (version 6.3.R1) and HistCite (version Pro 2.1) and identifies the most influential journals, institutions, and regions. The knowledge base was detected through a cluster analysis, which concentrates more on seven core themes: barriers, energy efficiency and building energy performance, life cycle assessment, computer vision, renovation, building sustainability assessment, and management. A citation analysis revealed that the applications of digital technologies were based in four dimensions of sustainable construction: environmental, social, and economic performance and green building assessment are the current hotspots. Finally, the potential future research trends in this field were proposed: (1) strengthening research on the application of more digital technologies; (2) expanding the use of digital technologies in the Operation and Maintenance (O & M) and demolition phases; (3) deepening the research on multi-objective optimization; and (4) exploring how to overcome obstacles. The findings provide highly valuable information for researchers with current research ideas and future directions in this field. This paper also has the potential to deepen practitioners’ comprehension of optimal digital technologies for bolstering construction sustainability.","url":"https://doi.org/10.3390/su17020487","authors":["Yuanyuan Li","Xiujuan Zhao","Chunlu Liu","Zhigang Zhang"],"tags":["Sustainability","Demolition","Emerging technologies","Field (mathematics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.3390/su17020487","addedAt":"2026-09-01T01:47:35.189Z","updatedAt":"2026-09-01T01:47:35.189Z"},{"id":"oa:W4406604592","name":"Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning","source":"openalex","abstract":"Digital Twins, virtual replicas of physical systems that enable real-time monitoring, model updates, predictions, and decision-making, present novel avenues for proactive control strategies for autonomous systems. However, achieving real-time decision-making in Digital Twins considering uncertainty necessitates an efficient uncertainty quantification (UQ) approach and optimization driven by accurate predictions of system behaviors, which remains a challenge for learning-based methods. This paper presents a simultaneous multi-step robust model predictive control (MPC) framework that incorporates real-time decision-making with uncertainty awareness for Digital Twin systems. Leveraging a multistep ahead predictor named Time-Series Dense Encoder (TiDE) as the surrogate model, this framework differs from conventional MPC models that provide only one-step ahead predictions. In contrast, TiDE can predict future states within the prediction horizon in a one-shot, significantly accelerating MPC. Furthermore, quantile regression is employed with the training of TiDE to perform flexible while computationally efficient UQ on data uncertainty. Consequently, with the deep learning quantiles, the robust MPC problem is formulated into a deterministic optimization problem and provides a safety buffer that accommodates disturbances to enhance constraint satisfaction rate. As a result, the proposed method outperforms existing robust MPC methods by providing less-conservative UQ and has demonstrated efficacy in an engineering case study involving Directed Energy Deposition (DED) additive manufacturing. This proactive while uncertainty-aware control capability positions the proposed method as a potent tool for future Digital Twin applications and real-time process control in engineering systems.","url":"https://doi.org/10.48550/arxiv.2501.10337","authors":["Yi-Ping Chen","Ying-Kuan Tsai","Vispi Karkaria","Wei Chen"],"tags":["Quantile","Series (stratigraphy)","Computer science","Artificial intelligence","Time series"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-17","doi":"https://doi.org/10.48550/arxiv.2501.10337","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7140481365","name":"Integrating Digital Twins into Smart Warehousing: A Practice-Based View Framework for Identifying and Prioritizing Critical Success Factors","source":"openalex","abstract":"Background. Smart warehousing increasingly relies on digital twin technologies to enhance operational efficiency, real-time visibility, and decision-making in logistics systems. However, existing research primarily focuses on technological capabilities while paying limited attention to the organizational practices that shape successful implementation. Methods. This study aims to identify and prioritize the critical success factors (CSFs) for integrating digital twins into smart warehousing using the Practice-Based View (PBV) as the theoretical lens. Based on insights from prior research and expert validation, nine CSFs were identified and evaluated using the Best–Worst Method (BWM). Empirical input was obtained from six industry experts with experience in digital transformation, warehousing, and supply chain management. Results. The results indicate that collaborative learning, contextual training, and gamification elements emerge as the most influential critical success factors, highlighting the importance of organizational practices in supporting digital twin adoption in smart warehousing. Conclusions. By linking technological capabilities with organizational routines, the proposed framework provides both theoretical insights and practical guidance for implementing digital twins in smart warehouse environments.","url":"https://doi.org/10.3390/logistics10040073","authors":["Sadia Samar Ali","José Antonio Marmolejo-Saucedo","Rosario Landa Piedra","Gerhard-Wilhelm Weber"],"tags":["Critical success factor","Knowledge management","Supply chain","Process management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-26","doi":"https://doi.org/10.3390/logistics10040073","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416876150","name":"Exploring research trends in use of finite element analysis for optimization of stress concentration factor in bars with fillets","source":"openalex","abstract":"This study delivers a critical bibliometric and technical synthesis of finite element analysis (FEA)-based optimization of stress concentration factors (SCFs) in stepped flat tension bars (2005–2025). Analysis of 747 publications reveals a clear evolution from early validation studies to optimization-driven, application-ready frameworks. Comparisons of the most-cited works show methodological advances from mesh-converged parametric FEA and experimental benchmarking to evolutionary algorithms, surrogate modeling, and recent AI/ML-enhanced pipelines, though reproducibility and experimental validation remain limited. Keyword clusters align strongly with aerospace, automotive, and energy applications, while biomedical and microscale domains remain underexplored. Emerging research (2023–2025) highlights transformative directions: AI-driven surrogates for rapid SCF prediction, HPC-enabled digital twins for real-time monitoring, and additive manufacturing-specific SCF behaviors. These advances shift the field toward dynamic, data-informed frameworks that integrate computation, optimization, and sensing. By coupling bibliometric mapping with technical interpretation, this study identifies not only the past trajectories but also future opportunities, AI-informed predictive design, multiscale SCF modeling, and optimization for advanced materials, positioning bibliometrics as a strategic tool to guide next-generation structural design. References to ‘biomedical’ and ‘microscale’ indicate emergent mentions in the bibliometric maps (keywords and small clusters) rather than large, focused subfields within the Dimensions.ai export. These areas appeared only in a minority of records and are identified here as promising, under-explored directions requiring targeted systematic reviews and experimental benchmarking.","url":"https://doi.org/10.1007/s44245-025-00163-x","authors":["Sachin M. Bhosle","Sangram S. Bhosale","Shrikant C. Mahadik","Sunil M. Pondkule"],"tags":["Benchmarking","Microscale chemistry","Finite element method","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1007/s44245-025-00163-x","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4417369343","name":"Towards Smart and Sustainable Last Mile Delivery Systems: A Scoping Review and Conceptual Framework","source":"openalex","abstract":"The accelerated growth of e-commerce and ongoing urban expansion have intensified the challenges associated with last-mile delivery, making it a critical issue in sustainable urban logistics. Therefore, our paper presents a scoping review to systematically delineate the current state of research on smart and sustainable last-mile delivery systems. We explore both innovative technologies—such as artificial intelligence, autonomous vehicles, the Internet of Things, and digital twins—and human-centered dimensions, including urban design, policy development, and collaborative stakeholder engagement. Using the PRISMA-ScR-based methodology, 140 peer-reviewed articles (2015–2025) have been analyzed to highlight key trends, gaps, and prospective directions. The study underlines how the technologies of Industry 4.0 have improved visibility and operational efficiency, but holistic thinking that incorporates environmental, human, and policy factors remains undeveloped. Based on these findings, this article provides a conceptual framework for smart and sustainable last-mile delivery, focusing on the intersection of digital and simulation tools and human-centric governance to achieve optimized efficiency, environmental performance, and equity. This framework helps both academics and decision-makers to advance data-driven, resilient, and integrative city logistic ecosystems.","url":"https://doi.org/10.3390/su172411270","authors":["Imane Moufad","Youness Frichi","Fouad Jawab","Jihad Mkhalfi"],"tags":["Conceptual framework","Smart city","Stakeholder","Process management","Stakeholder engagement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-16","doi":"https://doi.org/10.3390/su172411270","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7141489730","name":"Semantic Agent-Based Intelligent Digital Twins Integrating Demand, Production and Product Through Asset Administration Shells","source":"openalex","abstract":"Complex products and production processes are intertwined and demand expressive, lifecycle-wide digital representations. The Asset Administration Shell emerged as a standard for Digital Twins (DTs), structuring heterogeneous data across cloud-based Industrial Internet of Things (IIoT) infrastructures. However, today’s deployments predominantly realize passive or reactive DTs, while intelligent behavior remains underexploited. This paper addresses this gap, proposing an end-to-end architecture operationalizing the DT Reference Model through the integration of machine-interpretable granulated industrial skills, which are semantically accumulated into a knowledge graph enabling discovery and reasoning, while a multi-agent system provides autonomous, utility-based negotiation via machine-to-machine interactions within a federated marketplace. The approach is applied in a real smart manufacturing demonstrator, combining order processes, production orchestration, and lifecycle documentation into a unified execution pipeline spanning IIoT-connected shopfloor assets and cloud-based services. Quantitative experiments evaluating negotiation latency, renegotiation robustness, and utility variation demonstrate stable, predictable behavior even under concurrent demand and failure scenarios. The architecture lays a foundation for interoperable, sovereign collaboration across value chains to realize shared production. The results underline the effectiveness of the tightly coupled enabler technologies realizing proactive, reconfigurable, and semantically enriched intelligent DTs.","url":"https://doi.org/10.3390/bdcc10040103","authors":["Joel Lehmann","T. M. Häußermann","Julian Reichwald"],"tags":["Computer science","Asset (computer security)","Enabling","Negotiation","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-26","doi":"https://doi.org/10.3390/bdcc10040103","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7117429586","name":"AI-Enabled Decarbonisation of the Built Environment: A Technical Article of Predictive Analytics, Digital Twins & Net-Zero Buildings","source":"openalex","abstract":"Buildings account for more than one-third of global energy-related CO₂ emissions, making the built environment one of the most critical sectors to decarbonise.Traditional Building Management Systems (BMS) operate through static schedules and reactive control, resulting in persistent inefficiencies in heating, ventilation, air-conditioning (HVAC), lighting and peak electricity demand.Advances in artificial intelligence (AI), reinforcement learning (RL), predictive analytics, digital twins and IoT-enabled automation now make it possible to transition from rule-based building control to adaptive, self-learning systems that optimise comfort, cost and carbon intensity simultaneously.This paper presents a technical review of AI-enabled decarbonisation pathways for buildings, integrating both operational and embodied carbon perspectives and reviewing recent machine-learning models for demand prediction and control.A unified AI Decarbonisation Framework (AIDF) and AI Intelligent Building System Architecture Model (AIB-SAM) are proposed to structure how forecasting, autonomous control, renewable and storage integration, and carbon-aware optimisation interact within modern buildings.A structured analysis of recent studies suggests that AI-based optimisation can reduce building energy use by 18-75%, lower peak loads by 20-40% and enable grid flexibility via photovoltaic (PV) generation, battery storage and electric-vehicle (EV) charging coordination.Real-world case studies including The Edge (Amsterdam), Google Nest, Microsoft's Redmond campus and healthcare building retrofits illustrate practical decarbonisation outcomes.The findings suggest that AI is not a peripheral support tool, but the core enabling layer for net-zero buildings, autonomous operation and urban energy transition.The paper closes with a research roadmap for scalable AI deployment in global building stocks, highlighting opportunities in federated learning, physicsinformed models, digital twins and carbon-aware reinforcement learning.","url":"https://doi.org/10.55248/gengpi.06.1225.4234","authors":["Edwin King Ehiorobo","Esther Obikoya"],"tags":["Sociotechnical system","Engineering","Computer science","Technical analysis","Technical progress"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.55248/gengpi.06.1225.4234","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4404859229","name":"Robust by design: Designing ICT infrastructures using Twins","source":"openalex","abstract":"Abstract Robust‐by‐design (RbD) is a design strategy that uses adversary emulation to strengthen the security of an information and communication infrastructure. It relies on two key components: the security twin and the threat actor twins. The security twin is a detailed database that outlines the different parts of the infrastructure, how they are connected, and their vulnerabilities. It also highlights the types of attacks each part could enable. On the other hand, the twin of a threat actor describes its potential attack surface, the attacks it can carry out, its strategy, and its ultimate goal, if any. This information comes from threat intelligence. RbD conducts independent simulations of various threat actors against the security twin to identify all possible attack paths they could exploit. Three types of analysis use this information to improve the robustness and resilience of the infrastructure. The first analysis fills in the gaps in threat intelligence by extending information on threat actors and vulnerabilities. The second analysis focuses on selecting countermeasures aimed at eliminating attack paths or at least reducing their chances of success. Possible countermeasures include patching vulnerabilities, adjusting firewall rules, and implementing network segmentation. Information on attack paths guides the choice and configuration of these countermeasures. Once the infrastructure twin is updated to reflect countermeasure deployment, RbD performs further simulations to uncover any new attack paths that could be exploited and to identify additional countermeasures. The final analysis seeks to address the risks associated with any remaining unaddressed attack paths.","url":"https://doi.org/10.1049/dgt2.12018","authors":["Fabrizio Baiardi"],"tags":["Information and Communications Technology","Computer science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-29","doi":"https://doi.org/10.1049/dgt2.12018","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415121976","name":"Unsteady-state dynamics and AI in membrane desalination: Challenges and emerging opportunities","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.desal.2025.119507","authors":["Y.Y. Liang","Mingzhou Li"],"tags":["Desalination","Inefficiency","Fouling","Engineering","Forward osmosis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"https://doi.org/10.1016/j.desal.2025.119507","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414542523","name":"Evaluating mobile robot navigation behavior in flexible assembly systems through digital twin and real-world experiments","source":"openalex","abstract":"Although digital twins are increasingly used for pre-deployment testing, their reliability as predictive tools remains understudied due to the lack of established validation frameworks. This paper presents a systematic methodology for validating the predictive fidelity of physics-based digital twins in robotic navigation tasks, addressing a critical gap in sim-to-real transferability for industrial mobile manipulators. We propose a novel evaluation approach combining (1) multi-metric comparison (localization accuracy, path consistency, goal accuracy, and navigation performance) between real-world and simulated navigation experiments, and (2) an uncertainty quantification method to establish confidence intervals for digital twin predictions. Using an NVIDIA Isaac Sim model of an omnidirectional mobile manipulator and digitally reconstructed production environments, we conduct 50 real-world and 50 digital twin experiments across five industrial scenarios. The results show a mean Hausdorff distance of 0.195 m between real and simulated paths, localization RMSE differences of 0.005 m, and a path prediction accuracy of ±0.229 m (95% CI). The findings contribute to robotic navigation by addressing key challenges in using digital twins for real-world applications, reducing the sim-to-real gap, and enhancing the reliable deployment of mobile manipulators in flexible assembly systems.","url":"https://doi.org/10.1007/s44430-025-00010-4","authors":["Lukas Bergs","Meike Huber","Alexander Moriz","Amon Göppert","Robert Schmitt","Frodo Kin Sun Chan","Yan Nei Law","Xiaoyu Pan","Benny Drescher"],"tags":["Digital mapping","Computer science","Key (lock)","Fidelity","Motion planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-26","doi":"https://doi.org/10.1007/s44430-025-00010-4","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7125792526","name":"Transformer Models, Graph Networks, and Generative AI in Gut Microbiome Research: A Narrative Review","source":"openalex","abstract":"BACKGROUND: The rapid advancement in artificial intelligence (AI) has fundamentally reshaped gut microbiome research by enabling high-resolution analysis of complex, high-dimensional microbial communities and their functional interactions with the human host. OBJECTIVE: This narrative review aims to synthesize recent methodological advances in AI-driven gut microbiome research and to evaluate their translational relevance for therapeutic optimization, personalized nutrition, and precision medicine. METHODS: A narrative literature review was conducted using PubMed, Google Scholar, Web of Science, and IEEE Xplore, focusing on peer-reviewed studies published between approximately 2015 and early 2025. Representative articles were selected based on relevance to AI methodologies applied to gut microbiome analysis, including machine learning, deep learning, transformer-based models, graph neural networks, generative AI, and multi-omics integration frameworks. Additional seminal studies were identified through manual screening of reference lists. RESULTS: The reviewed literature demonstrates that AI enables robust identification of diagnostic microbial signatures, prediction of individual responses to microbiome-targeted therapies, and design of personalized nutritional and pharmacological interventions using in silico simulations and digital twin models. AI-driven multi-omics integration-encompassing metagenomics, metatranscriptomics, metabolomics, proteomics, and clinical data-has improved functional interpretation of host-microbiome interactions and enhanced predictive performance across diverse disease contexts. For example, AI-guided personalized nutrition models have achieved AUC exceeding 0.8 for predicting postprandial glycemic responses, while community-scale metabolic modeling frameworks have accurately forecast individualized short-chain fatty acid production. CONCLUSIONS: Despite substantial progress, key challenges remain, including data heterogeneity, limited model interpretability, population bias, and barriers to clinical deployment. Future research should prioritize standardized data pipelines, explainable and privacy-preserving AI frameworks, and broader population representation. Collectively, these advances position AI as a cornerstone technology for translating gut microbiome data into actionable insights for diagnostics, therapeutics, and precision nutrition.","url":"https://doi.org/10.3390/bioengineering13020144","authors":["Yan Zhu","Yiteng Tang","Xin Qi","Xiong Zhu"],"tags":["Cornerstone","Gut microbiome","Microbiome","Narrative review","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-27","doi":"https://doi.org/10.3390/bioengineering13020144","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7131792551","name":"Toward a Digital Twin-Inspired Framework for Studying Trigeminal Satellite Glial Cell Dynamics in Craniofacial Pain: A Hypothesis","source":"openalex","abstract":"Satellite glial cells (SGCs) in sensory ganglia are increasingly recognized as active regulators of neuronal excitability and inflammatory signaling involved in pain conditions. In craniofacial and orofacial pain, trigeminal SGCs exhibit stimulus-dependent responses that develop over time and contribute to disease-related plasticity. Additionally, advances in experimental modeling, computational analysis, and data integration have fueled interest in “digital twins” as tools for hypothesis generation and decision support in biomedicine. However, most current biomedical applications are loosely defined and rarely explicitly address glial biology. Here, we propose a digital twin-inspired framework focused on trigeminal satellite glial cells to combine stimulus-response experiments with computational state modeling. Instead of claiming a fully developed digital twin, we describe a hybrid experimental–computational approach where glial activation states are inferred from measurable outputs, iteratively refined, and used to explore what-if scenarios related to pain mechanisms and treatments. These scenarios are intended to guide experimental design and hypothesis prioritization rather than to generate clinical predictions. We detail how this framework could enhance understanding of underlying mechanisms, prioritize potential interventions, and align with New Approach Methodologies (NAMs) and the 3Rs by reducing exploratory animal use. We also discuss key limitations, including biological simplification, uncertainty, and translational challenges. By viewing glial systems as dynamic, updateable entities rather than static readouts, this approach offers a practical and ethically grounded pathway toward more integrated research on craniofacial pain.","url":"https://doi.org/10.3390/neuroglia7010007","authors":["Parisa Gazerani"],"tags":["Computer science","Neuroscience","Craniofacial","Computational model","Sensory system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-27","doi":"https://doi.org/10.3390/neuroglia7010007","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7128475300","name":"Capital, code, and nature: problematizing the ‘Twin transition’","source":"openalex","abstract":"This article and accompanying special issue critically interrogate the convergence of environmental sustainability and digitalization. Promoted by governments, corporations, and international institutions, the so-called “twin transition” is framed as a mutually reinforcing strategy to revitalize economic growth while fostering a just and sustainable future. We argue, however, that this agenda—as it is currently shaped by market logics and geopolitical competition—can ultimately undermine the very social and ecological goals it purports to advance. While existing scholarship is dominated either by techno-optimistic narratives or by narrowly focused critical case studies, the articles assembled here offer a systemic political-economy perspective grounded in critical social sciences and heterodox economics. From this standpoint, we examine dominant green narratives, corporate and class interests, and the geopolitical and labour dynamics embedded in the green-digital transition, as well as planning-based alternatives to prevailing market-led approaches. Collectively, the contributions to this special issue illuminate how the structural drivers of digitalization can constrain its green potential and identify pathways for redirecting the transition towards socially equitable and ecologically sustainable transformations.","url":"https://doi.org/10.1080/14747731.2025.2601917","authors":["Edemilson Paraná","Rodrigo Santaella-Gonçalves"],"tags":["Sociology","Capitalism","Political economy","Political science","Politics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.1080/14747731.2025.2601917","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4413422829","name":"SMART PETROLEUM SYSTEMS: LEVERAGING MACHINE LEARNING AND DIGITAL TWINS FOR ENHANCED OIL RECOVERY AND GAS EMISSION CONTROL","source":"openalex","abstract":"The evolution to smart and sustainable oilfield operations requires the implementation of advanced technologies with the ability to maximize production while minimizing the environmental imprint. The current study hypothesizes a hybrid method that bridges machine learning (ML) and digital twin (DT) technologies for visualizing an intelligent petroleum system towards the maximization of oil recovery (EOR) and reduction of greenhouse gas emissions. A mixed-method methodology was followed, with an initial qualitative systematic review of the literature to identify main themes of predictive maintenance, flare monitoring, and real-time optimization. These results fed into developing a quantitative simulation model based on synthetic and public data. ML models such as Artificial Neural Networks (ANN), XGBoost, and Long Short-Term Memory (LSTM) networks were trained to predict reservoir performance and issue warnings for abnormal CO₂ and CH₄ emissions. The best models were incorporated into a DT prototype developed in MATLAB Simulink and Python that would emulate and control the most influential production parameters in real time. It was optimized with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) and provided a 13.7% improvement in oil recovery and a 28.1% decrease in CO₂ emission at optimized conditions. The findings verify that ML-DT integration enhances proactive data-driven decision-making, enhancing operational efficiency and environmental responsibility. The study provides a scalable framework for smart petroleum system deployment and enriches the literature in digital transformation for the energy industry.","url":"https://doi.org/10.70382/nijpas.v9i9.009","authors":["ABDULMUIZ ADEKOMI","APEH ELEOJO EMMANUEL","EMMANUEL UCHE OMENANYA","CONFIDENCE ADIMCHI CHINONYEREM"],"tags":["Petroleum","Petroleum engineering","Fossil fuel","Computer science","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.70382/nijpas.v9i9.009","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4399434472","name":"Advanced Optimal Twin‐Setting Protection Coordination Scheme for Maximizing Microgrid Resilience","source":"openalex","abstract":"The increasing penetration of distribution generators (DGs), such as PV systems, has led to a significant power protection concern for optimal overcurrent coordination. However, existing literature indicates that the traditional phase over current relay (OCR) scheme faces challenges such as instability, insensitivity, and lack of selectivity when handling the integration of DGs and ground fault scenarios. To address this issue, this study proposes a new optimal twin‐setting OCR coordination scheme for phase and ground events using standard and nonstandard tripping characteristics. The water cycle optimization algorithm (WCOA) is utilized to develop a coordinated optimum strategy that mitigates the effects of DGs on the currents and locations of faults across the power grid. To demonstrate the efficacy of the proposed approach, different case studies of an IEEE power network (9 buses) equipped with two 5 MW PV systems are conducted using industrial software (ETAP). Under various fault conditions (phase and ground faults) and power network operation modes (with and without PVs and islanding modes), the outcomes of the newly developed optimal coordination scheme are compared to the results of conventional schemes. The proposed twin OCR coordinating scheme is found to reduce the total tripping time of OCRs up to 62.3% and increase the selectivity of the relays without miscoordination events.","url":"https://doi.org/10.1155/2024/7276352","authors":["Feras Alasali","Naser El‐Naily","Abdelaziz Salah Saidi","Amer Nasr A. Elghaffar","William Holderbaum"],"tags":["Microgrid","Resilience (materials science)","Scheme (mathematics)","Computer science","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1155/2024/7276352","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7133656260","name":"Situational Deduction and Active Defense for Distribution Networks Under Complex Conditions: A Service-Oriented Digital Twin Approach","source":"openalex","abstract":"In modern distribution networks (DNs), extreme weather events and cascading faults pose severe challenges to operational safety. However, existing defense mechanisms struggle with a core question: How to maintain high-fidelity situational awareness and make precise active decisions when physical parameters drift and historical fault data is scarce? To address this, this paper proposes a situational deduction and active defense framework based on a service-oriented digital twin. First, regarding the modeling fidelity gap, a data–physics fusion mechanism is constructed. By integrating Kirchhoff’s laws with data-driven error correction, it dynamically calibrates time-varying parameters to resolve mapping distortion. Second, regarding the data scarcity bottleneck, a predictive perception method is introduced. Utilizing the digital twin as a generative engine, it augments rare fault samples to enable super-real-time deduction of future trends. Third, regarding the decision-making passivity, a service-driven simulation model is established. It transforms abstract indicators (safety, economy, resilience) into executable constraints, shifting the paradigm from ‘passive response’ to ‘active defense.’ Case studies on a modified IEEE 123-node system demonstrate that the proposed method significantly enhances resilience and decision accuracy under complex conditions.","url":"https://doi.org/10.3390/en19051323","authors":["Yuanyi Xia","Xianbo Du","Xing Chen","Rui Zhang","Ying Zhu"],"tags":["Situation awareness","Executable","Reliability (semiconductor)","Resilience (materials science)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-05","doi":"https://doi.org/10.3390/en19051323","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7165141339","name":"DF-MKG-DTS: An integrated knowledge graph-based data representation method for digital twin shop-floors","source":"openalex","abstract":"Digital Twin Shop-floor (DTS) systems require effective representation and integration of heterogeneous manufacturing data to support real-time decision-making. Existing approaches often suffer from limited semantic connectivity and insufficient support for dynamic data updates, restricting their applicability in complex manufacturing environments. To address these challenges, this paper proposes a DF-MKG-DTS framework that integrates a Manufacturing Knowledge Graph (MKG) into a Data Fabric (DF) architecture. The framework enables unified representation, semantic association, and dynamic updating of multi-source shop-floor data by modeling manufacturing entities, relationships, and temporal attributes as a structured Knowledge Graph, thereby improving fault localization accuracy. Experimental results demonstrate that the data association rate reaches 99.5% before knowledge fusion and achieves full association after fusion, validating the effectiveness of the proposed approach. For small-scale temperature faults, the proposed framework achieves 92.6% accuracy, an improvement of 10.2% over manual inspection, and maintained 89.8% accuracy for large-scale, complex process combination faults while reducing average processing time by up to 40%. These results indicate that DF-MKG-DTS not only alleviates data isolation and enhances data utilization but also provides robust, scalable, and efficient fault diagnosis support, highlighting its practical value for Digital Twin Shop-floor applications.","url":"https://doi.org/10.5267/j.ijiec.2026.4.004","authors":["Qiwei Liu"],"tags":["Computer science","Data mining","Representation (politics)","Knowledge representation and reasoning","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5267/j.ijiec.2026.4.004","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7124318180","name":"A Semantic-Enabled Common Data Environment for Real-Time Digital Twin Applications in Small-Scale Construction Projects","source":"openalex","abstract":"The integration of Building Information Modeling (BIM) and Digital Twin (DT) systems has reshaped construction project delivery, but their application remains concentrated in large, resource-intensive developments. Small-scale projects, which dominate the built environment in many regions, often lack access to advanced digital platforms due to financial constraints, insufficient infrastructure, and limited technical capacity. Existing Common Data Environment (CDE) frameworks are typically monolithic and costly, making them unsuitable for the flexible and affordable deployment needed in these contexts. A persistent barrier is semantic fragmentation: without interoperable data exchange across BIM, Internet of Things (IoT) devices, and Geographic Information Systems (GIS), project information remains siloed and underutilized. This study introduces a modular, semantic-enabled CDE architecture designed specifically for small-scale projects. The framework incorporates lightweight ontologies, microservices, and knowledge graphs to deliver scalable and semantically coherent integration of BIM–IoT–GIS datasets. To validate its applicability, the research applies the model to a three-storey educational building, demonstrating how real-time DT functionality can be achieved with minimal infrastructure demands. The case study highlights improvements in data exchange, operational monitoring, and sustainability analysis, showing how the architecture supports predictive maintenance and decision-making. By synthesizing insights from literature and practical demonstration, the paper proposes a blueprint for democratizing DT adoption, enabling affordable, adaptable, and interoperable solutions for small-scale construction projects.","url":"https://doi.org/10.28991/cej-2025-011-12-015","authors":["Nhat Nguyen Minh","Nguyen Trung Tuan"],"tags":["Interoperability","Computer science","Blueprint","Software deployment","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.28991/cej-2025-011-12-015","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415928438","name":"Low-cost data integration framework for integration with simulation-as-a-service digital twins for make-to-order manufacturing SME","source":"openalex","abstract":"Small and medium enterprises (SMEs) face major challenges when implementing Digital Twin (DT) technology due to high infrastructure costs and complex integration requirements. While the development of comprehensive DT models remains an expensive, resource-intensive activity, most issues often lie in the complex integration processes required to connect existing manufacturing systems with simulation environments. This paper presents a novel low-cost data architecture for integrating data from enterprise manufacturing systems (such as MES and WMS) into external simulation-as-a-service platforms, facilitating DT integration while cutting the related costs. The proposed methodology addresses the challenge of connecting different IT systems with simulation services through a data-driven integration approach. Rather than relying on expensive enterprise integration architectures, the solution leverages a simplified framework focusing on intelligent data transformation with minimal pressure on existing infrastructure. The integration strategy centers on comprehensive data modeling that standardizes how products, resources, and materials information are represented across heterogeneous systems for DT consumption, particularly addressing the complexities of make-to-order environments where product-centric information requires flexible approaches. The work has been validated through the implementation in a medium-sized manufacturing company, and it demonstrated simplicity and cost-effectiveness compared to traditional integration approaches. The data architecture successfully transformed production plans, workforce allocation data, and warehouse materials records from native formats into standardized simulation-ready models. By isolating and addressing the integration complexity while utilizing existing simulation-as-a-service providers for the computationally intensive modeling aspects, the proposed methodology significantly reduces the overall burden of DT implementation for SME, supporting the adoption of this technology through a cost-effective integration strategy.","url":"https://doi.org/10.1049/icp.2025.3684","authors":["Lorenzo Ragazzini","Elisa Negri","Marco Macchi"],"tags":["Data integration","System integration","Computer science","Information integration","Computer-integrated manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.1049/icp.2025.3684","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4411501561","name":"Long-term prediction of the Gulf Stream meander using OceanNet: a principled neural-operator-based digital twin","source":"openalex","abstract":"Abstract. Many meteorological and oceanographic processes throughout the eastern US and western Atlantic Ocean, such as storm tracks and shelf water transport, are influenced by the position and warm sea surface temperature of the Gulf Stream (GS) – the region's western boundary current. Due to highly nonlinear processes associated with the GS, predicting its meanders and frontal position has been a long-standing challenge within the numerical modeling community. Although the weather and climate modeling communities have begun to turn to data-driven machine learning frameworks to overcome analogous challenges, there has been less exploration of such models in oceanography. Using a new dataset from a high-resolution data-assimilative ocean reanalysis (1993–2022) for the northwestern Atlantic Ocean, OceanNet (a neural-operator-based digital twin for regional oceans) was trained to predict the GS's frontal position over subseasonal to seasonal timescales. Here, we present the architecture of OceanNet and the advantages it holds over other machine learning frameworks explored during development. We also demonstrate that predictions of the GS meander are physically reasonable over at least a 60 d period and remain stable for longer. OceanNet can generate a 120 d forecast of the GS meander within seconds, offering significant computational efficiency.","url":"https://doi.org/10.5194/os-21-1065-2025","authors":["Michael Gray","Ashesh Chattopadhyay","Tianning Wu","Anna Lowe","Ruoying He"],"tags":["Meander (mathematics)","Gulf Stream","Geology","Climatology","Boundary current"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-20","doi":"https://doi.org/10.5194/os-21-1065-2025","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414886303","name":"Technology for a Sustainable Future: Unlocking the Power of Digital Transformation","source":"openalex","abstract":"Digital transformation is emerging as a cornerstone of strategies aimed at addressing pressing global sustainability challenges, from climate change to resource scarcity and social inequality. By leveraging technologies such as artificial intelligence (AI), blockchain, the Internet of Things (IoT), and cloud computing, societies are beginning to unlock new pathways for decarbonization, efficiency, and inclusive growth. AI and advanced analytics provide predictive insights for optimizing energy use, climate modeling, and resource management, while blockchain ensures supply-chain transparency and facilitates the verification of carbon credits. IoT-enabled systems and smart infrastructure enhance efficiency in energy distribution, agriculture, transportation, and manufacturing, contributing to circular economy practices and reduced environmental footprints. At the same time, cloud platforms and digital finance solutions democratize access to green technologies and sustainable investment opportunities. The transformative potential of these technologies extends across multiple sectors. In the energy domain, smart grids and decentralized renewables supported by digital integration are reshaping power systems. In agriculture, precision farming and digital supply chains reduce waste and improve productivity. Financial innovations, such as fintech-enabled green finance, are mobilizing capital toward sustainable projects, while e-governance platforms enhance transparency and data-driven policymaking for climate action. However, significant challenges remain. The digital divide threatens equitable access, while the energy demands of data centers and blockchain raise concerns about the carbon footprint of digital infrastructures. Cybersecurity, privacy, and governance gaps also pose risks that could undermine trust and resilience. Addressing these issues requires robust policy frameworks, public–private partnerships, and capacity building to ensure responsible, inclusive, and ethical innovation. Ultimately, digital transformation represents not only a technological shift but also a socio-economic opportunity to build resilient, net-zero, and equitable futures. Unlocking its full potential requires aligning digital innovation with global sustainability imperatives.","url":"https://doi.org/10.54660/.ijfmr.2022.3.2.146-156","authors":["Foyeke Ogundipe","Emmanuel Sampson","Oluwafisayo Israel Bakare","Oluwaseun Oketola","Ramat Adedayo Yusuf"],"tags":["Transparency (behavior)","Cloud computing","Digital transformation","Environmental economics","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.54660/.ijfmr.2022.3.2.146-156","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7117668117","name":"Development of a simulation model of a WEB-oriented servo drive frequency control system based on “Digital Twins” technology","source":"openalex","abstract":"The object of this research is the information processes of interaction between virtual components of a WEB-oriented simulation model of a frequency control system for a synchronous servo drive. The research problem lies in the need for a comprehensive solution to the tasks of developing simulation models of control systems for technological objects based on advanced algorithms, procedures, and unified hardware and software tools. A project of a frequency control system for a SIMOTICS S-1FK2 synchronous servo drive was developed using a PLC S7-1500 and a FC SINAMICS S210 within the TIA Portal environment. Application software for the frequency control system was developed in FBD language with an integrated specialized technological object “SpeedAxis”. During the development of the simulation model, a “Digital Twins” were generated for the frequency converter with an integrated synchronous servo drive. To ensure interaction between the virtual components of the simulation model, procedures for basic parameterization and loading of the TIA Portal project components into the “Digital Twins” were implemented. Testing and investigation of the information exchange processes between the virtual components of the simulation model were carried out in “on-line” mode using the capabilities of the integrated WEB-server. The tests were conducted at speeds of 2000 rpm and 4000 rpm, switched periodically every 12 sec. Parameters of the reference and actual speed, as well as the instantaneous voltage, current, torque, and output power of the virtual frequency converter, were measured and analyzed. Based on the test results, the feasibility and correctness of the joint operation of the simulation model components in an isochronous real-time mode with a 1 ms synchronization cycle were confirmed, demonstrating the effectiveness of the approach based on “Digital Twins” technology.","url":"https://doi.org/10.15587/2706-5448.2025.345825","authors":["Leonid Zamikhovskyі","Mykola Nykolaychuk","Ivan Levytskyi"],"tags":["Correctness","Computer science","Servomechanism","Software","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.15587/2706-5448.2025.345825","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7152584410","name":"BIM-Based Digital Twin and Extended Reality for Electrical Maintenance in Smart Buildings: A Structured Review with Implementation Evidence","source":"openalex","abstract":"The current literature on electrical system maintenance highlights three technology domains—Building Information Modeling (BIM), Digital Twin (DT), and extended reality (XR)—that have independently demonstrated strong potential for improving lifecycle information management, predictive analytics, and operational support. However, their convergence remains largely underexplored, particularly in electrical system maintenance. This paper provides a structured review of BIM–DT–XR convergence in electrical system lifecycle management, examining their roles across lifecycle phases and their integration through literature synthesis and cross-domain implementation evidence. BIM is analyzed as a basis for modeling and integrating facility management with electrical asset lifecycles; DT as a framework for dynamic system representation and applications in electrical and power systems; and XR as a means of visualizing and interacting with BIM-DT environments. Cross-domain implementation evidence from an industrial electrical facility and a tertiary smart-building pilot shows that BIM–DT–XR integration is technically feasible at pilot scale. However, the analysis identifies five structural integration gaps: semantic misalignment between building-oriented IFC and grid-oriented CIM ontologies; fragmented standard adoption; inconsistent data governance and naming practices; validation approaches focused on syntactic rather than dynamic model fidelity; and the separation of XR visualization from predictive DT capabilities. The implementation evidence further indicates that real-world deployment remains constrained by data quality limitations, integration complexity, cost factors, and interoperability with legacy systems. The review concludes that, despite the maturity of individual technologies, their effective application depends on advances in semantic alignment, lifecycle data governance, validation of dynamic models, and scalable integration frameworks, enabling the transition toward integrated, interoperable, and lifecycle-aware infrastructures for electrical system maintenance.","url":"https://doi.org/10.3390/app16083685","authors":["Paolo Di Leo","Michele Zucco","M. Del Giudice","Matteo Del Giudice"],"tags":["Interoperability","Computer science","Systems engineering","Common Information Model (electricity)","Data integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-09","doi":"https://doi.org/10.3390/app16083685","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"oa:W4413376191","name":"Can EU Countries Balance Digital Business Transformation with the Sustainable Development Goals? An Integrated Multivariate Assessment","source":"openalex","abstract":"The aim of the study was to evaluate the digital business transformation across EU countries and its relationship with key Sustainable Development Goals (SDGs): SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action). The Digital Business Transformation Index, developed from eleven digital technology indicators related to e-business and e-commerce, is constructed using Principal Component Analysis to provide a comprehensive framework for assessing digitalization at the enterprise level. The results reveal substantial disparities among member states, with northern and western countries leading, while southern and eastern countries are lagging behind. Regression analyses show a strong positive relationship between digital business transformation and SDG 9 and a negative association with SDG 13. Cluster analysis identifies six groups of countries with varying levels of digital and sustainability performance and emphasizes the need for tailored policy responses. Evidence confirms a digital–green trade-off in many EU countries; however, strategic policy integration can mitigate this challenge. The findings underline the importance of targeted investments in R&D, digital infrastructure, and ICT training, particularly in underperforming regions. Tailored measures are essential to ensure that digital business transformation aligns with inclusive and sustainable development across the EU.","url":"https://doi.org/10.3390/systems13080722","authors":["Emilia Herman","Maria-Ana Georgescu"],"tags":["Digital transformation","Multivariate statistics","Balance (ability)","Transformation (genetics)","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.3390/systems13080722","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7127338090","name":"Modeling metacognition and executive functions in the metacognitive wisconsin card sorting test using the neuropsychological digital-twin method","source":"openalex","abstract":"Executive functions rely on goal-directed manipulation of representations, while metacognition reflects the evaluation and control of one’s own representations. Several studies have examined these processes separately, but none formalise the neuro-representational computations underlying their interaction during goal-directed behaviour. This gap prevents comprehensive frameworks and extended model-based neuropsychological investigations. Here we address these issues by introducing a neuropsychological digital-twin method - a translational modelling framework that integrates clinical and experimental data, theoretical formalisation, and computational modelling for neuropsychological profiling and prediction. We formalised the three-component theory of metacognitive and flexible goal-directed cognition - grounded in theoretical and neuroscientific literature - and developed a neuro-inspired computational model tested with a standard neuropsychological task (Metacognitive Wisconsin Card Sorting Test, Meta-WCST). We further corroborated the proposal by reproducing experimental data from healthy controls and psychiatric populations (Anorexia Nervosa and Schizophrenia). Finally, we generated three digital-twins - computational models fitted to human data and reproducing behavioural and neuro-cognitive features - for neuropsychological profiling and intervention prediction. Our results support an integrated framework of executive functions and metacognition in healthy and pathological goal-directed behaviour and provide the first theory-based computational model of the Meta-WCST. They also reveal that Anorexia Nervosa and Schizophrenia share hidden cognitive and metacognitive similarities (motivational impairment and over-confidence) alongside differences (perseveration and poor self-improvement in the former; distraction and poor self-evaluation in the latter). Consistently, simulations predict differential benefits from metacognitive-based psychotherapy, highlighting the importance of personalised interventions. Finally, our contributions have implications for cognitive science (e.g., consciousness studies) and emerging technologies (digital-twin healthcare and autonomous robotics).","url":"https://doi.org/10.1038/s41598-026-37612-w","authors":["Giovanni Granato","Andrea Mattera","Emilio Cartoni","Gianluca Baldassarre"],"tags":["Neuropsychology","Wisconsin Card Sorting Test","Executive functions","Psychology","Metacognition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"https://doi.org/10.1038/s41598-026-37612-w","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4390544865","name":"The Role of Digital Building Logbooks for a Circular Built Environment","source":"openalex","abstract":"Abstract Digital building logbooks (DBLs) are digital repositories of building-related data gathered throughout the full life cycle of a building. DBLs help increase transparency and access to information during the design, construction, operation, and end-of-life phase of a building. They thereby facilitate an efficient and cost-effective transition to a zero energy and circular built environment. DBLs could slow down resource loops by extending the service life of buildings through better coordination of maintenance and repair and close resource loops by promoting adaptability and reuse of the whole building and/or its components with multi-cycle approaches. This chapter analyses examples of DBLs developed in five countries to show that they are useful tools at different life stages of the building and for different stakeholders (homeowners, property managers, or building professionals). Challenges for establishing DBLs as a central tool for a circular built environment lie in improving the user experience and ease of implementation; enhancing interoperability; and effectively collecting, managing, and transforming data into actionable information for the management, maintenance, and reuse at building and district levels.","url":"https://doi.org/10.1007/978-3-031-39675-5_13","authors":["Joana Gonçalves","Wai Chung Lam","Michiel Ritzen"],"tags":["Interoperability","Reuse","Adaptability","Architectural engineering","Building information modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-39675-5_13","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7128786244","name":"Rule-Based Digital Twin: An Integrated Parametric-BIM Workflow for Life-Cycle Delivery of Free-Form, Special-Shaped Envelopes in Large-Scale Public Buildings","source":"openalex","abstract":"Despite the aesthetic potential of free-form envelopes in large-scale public buildings, geometric interlacing complexity, ambiguous façade boundaries, and constructability translation gaps persist as systemic barriers. This study addresses these challenges through a Design Science Research (DSR) approach, developing a rule-based digital twin methodology that maintains parametric intelligence across the building life cycle. Implemented via a five-layer integrated framework, i.e., geometric, parametric, BIM, coordination, and fabrication, the methodology was validated through a revelatory case study of the Shenzhen Bay Culture Plaza. Results demonstrate 91.2% clash resolution prior to construction, 20.3 million RMB in cost savings (10.8% reduction), and 35.4% schedule compression, while preserving rule-based relationships into operational facility management. The study advances BIM theory by operationalizing life-cycle digital twins for non-standard geometries, offering a replicable framework for future special-shaped construction projects.","url":"https://doi.org/10.3390/buildings16040778","authors":["Xiang Li","Wei Gan","Xiaopei Liu","Jun Yang"],"tags":["Constructability","Engineering","Workflow","Systems engineering","Schedule"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.3390/buildings16040778","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7129091575","name":"A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis","source":"openalex","abstract":"ABSTRACT Plantar fasciitis severely impairs daily life through persistent pain and limited mobility, whereas conventional treatments often lack real‐time monitoring and personalized feedback. This study introduces a fully self‐powered digital wearable system (FS‐DWS), integrating an arch support auxiliary (ASA) device, a wearable sensing system (WSS), and a machine learning‐driven closed‐loop visualized feedback system (VFS) to enable real‐time plantar pressure monitoring and abnormal gait recognition for the auxiliary treatment of plantar fasciitis. As a system‐level engineering achievement, the ASA module integrates elastic support with energy harvesting, alleviating plantar pressure and powering the wearable sensing system without any batteries, with a maximum power density of 41.6 mW/cm 3 , one order of magnitude higher than those of previously reported biomechanical energy harvesting devices. The VFS utilizes a flexible sensor array to collect dynamic pressure data, which is processed via a machine learning algorithm to achieve real‐time classification of 7 gait cycle phases with an accuracy of 99.3%, enabling identification of abnormal pressure distribution, causal tracing of gait deviations, and generation of personalized correction instructions. As a proof‐of‐concept study, the proposed dual‐function strategy of “physical support + intelligent regulation” provides an efficient and sustainable approach to the long‐term management of plantar fasciitis and supports a shift in therapeutic approach from passive relief to active correction.","url":"https://doi.org/10.1002/advs.202521682","authors":["Jiacheng Hou","Ying Hong","Shiyuan Liu","Qiqi Pan","Jingyu Zhang","Q. Meng X.D. Xu","Qiyi Nie","Zhonghe Wang","Liming Xin","Yilong Wang","Biao Wang"],"tags":["Plantar fasciitis","Wearable computer","Plantar pressure","Gait","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-16","doi":"https://doi.org/10.1002/advs.202521682","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W3194748054","name":"Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios","source":"openalex","abstract":"In the next 20 years, the fossil energy must become a guarantor of the sustainable development of the energy sector for future generations. Significant threats represent hurdles in this transition. This study identified current global trends in the energy sector and the prospects for the development of energy until 2035. The importance of risk assessment in scenario forecasting based on expert judgments was proven. Three contrasting scenarios, #StayHome, #StayAlone, and #StayEffective, for the development of fossil energy, all based on comprehensive analysis of global risks by expert survey and factor analysis, were developed. It was concluded that fossil energy is mandatory with integration of advanced technologies at every stage of the production of traditional energy and of renewable energy as an integral part of the modern energy sector. Based on the results of the study, nine ambitious programs for the development of sustainable energy are presented. They require the creation and the utilization of a single interactive digital platform adapted to this purpose. It is a passport mandatory for the flexible interaction of energy production, its transmission, and its consumption in the perspective of having a future sustainable, reliable, and secured energy sector.","url":"https://doi.org/10.3390/en14175268","authors":["Y L Zhukovskiy","Daria Evgenievna Batueva","Aleksandra Buldysko","Bernard Gil","V.V. Starshaia"],"tags":["Sustainable development","Renewable energy","Fossil fuel","Energy development","Environmental economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-25","doi":"https://doi.org/10.3390/en14175268","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7130837187","name":"Challenges and potential of using digital biomarkers in healthcare and clinical trials","source":"openalex","abstract":"Digital biomarkers use sensors and analytics, to offer continuous monitoring and personalized medicine. In this Perspective, we describe real-world use cases, such as glucose tracking to optimise insulin dosing and wearables to measure heart rhythms to de-risk cardiovascular trials. We also discuss the issues preventing most candidate biomarkers from reaching clinical practice. Evidence generation is costly, regulatory reviews can be redundant, commercial incentives fall short, and data silos can be biased and/or nonrepresentative. By combining harmonized qualification pathways, value-based reimbursement, modular extensions for single-trial biomarkers, and adaptive post-market evidence loops, we propose a path from experimental signal to standard of care.","url":"https://doi.org/10.1038/s43856-026-01450-8","authors":["Johann Lieberwirth","Mirja Mittermaier","Ariel Dora Stern"],"tags":["Clinical trial","Medicine","Risk analysis (engineering)","Wearable computer","Intensive care medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-21","doi":"https://doi.org/10.1038/s43856-026-01450-8","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414011103","name":"Review on data-informed planning for underground space","source":"openalex","abstract":"Urban underground space (UUS) development, guided by prudent planning, has emerged as a vital solution to the increasingly complex issues of urban built environments globally. Driven by the growing needs for human-centric urban design, low-carbon development, enhanced urban resilience, and alignment with sustainable development goals, UUS planning is rapidly shifting from experience-based approaches to evidence-based and data-driven methodologies. Yet, the broader landscape of this research field remains ambiguous, with the characteristics and future trajectories of such emerging planning technologies still to be clearly delineated. To this end, this systematic review delves into the burgeoning field of data-informed planning technologies for underground space (DIPTUS), examining how data-driven methods are revolutionizing the planning, design, and management of underground environments. Through a comprehensive bibliometric analysis of 134 articles published from 2014 to 2024, we identified key trends and mapped research themes within DIPTUS. Our narrative synthesis evaluated DIPTUS advancements across three dimensions: sensing and measurement, pattern and model, and planning and governance. The results indicate that DIPTUS exploits diverse data streams to quantitatively analyze UUS development. Utilizing advanced analytical tools such as spatial statistics, machine learning, and causal inference, these technologies uncover utilization patterns and planning optimization strategies. The review also underscores the increasing integration of planning and governance within DIPTUS, merging resource evaluation and demand forecasting, layout planning optimization, development benefits and spatial performance evaluation into a cohesive framework. Enhancements in 3D cadastral systems, innovative management models, and digital twin technologies further bolster this integrated approach. Despite significant strides, challenges in data integration, model complexity, and practical application persist. Lastly, we proposed a visionary framework to address these issues through interdisciplinary research and robust model development, aiming to fully harness DIPTUS's transformative potential for sustainable, resilient, and human-centered urban environments. © 2025 Tongji University.","url":"https://doi.org/10.1016/j.undsp.2025.06.001","authors":["Fang-Le Peng","Wei-Xi Wang","Yong-Kang Qiao","Chen-Xiao Ma","Yun-Hao Dong"],"tags":["Space (punctuation)","Computer science","Geology","Environmental planning","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-05","doi":"https://doi.org/10.1016/j.undsp.2025.06.001","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7167806688","name":"The Agentic Digital Twin-Led Assessment System (ATLAS): A new architecture for psychological assessment in the era of agentic AI","source":"openalex","abstract":"Psychological assessment has spent a century refining a single architecture. A person sits down, to complete an instrument designed for everyone, and receives a score positioned against a population mean. Each technological wave has improved this architecture without replacing it. But digital twins, agentic AI, and swarm intelligence now make it possible to specify a different assessment architecture: one in which the model of the person is built first, the assessment is generated on demand from that model, and evaluation preserves disagreement as diagnostic signal rather than averaging it away. This paper introduces the Agentic Digital Twin-Led Assessment System as a five-layer conceptual architecture coupled by a continuous feedback loop, with the AI-IARA framework functioning as a set of engineering-grade design constraints. This shifts psychology’s role from validating instruments after they are built to specifying assessment infrastructures that protect validity, and agency. ATLAS offers a conceptual architecture for precision psychology.","url":"https://doi.org/10.1080/17439760.2026.2701096","authors":["Llewellyn E. van Zyl"],"tags":["Psychology","Architecture","Applied psychology","Psychological testing","Social psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-09","doi":"https://doi.org/10.1080/17439760.2026.2701096","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7131846320","name":"Robust Backstepping Control of a Twin Rotor MIMO System via an RBF-Tuned High-Gain Observer","source":"openalex","abstract":"The design of robust controllers for complex nonlinear systems remains a formidable challenge, particularly concerning the disparity between simulation performance and real-world implementation constraints. This research investigates the practical implementation of a backstepping controller integrated with a High-Gain Observer (HGO) on a Twin Rotor MIMO System (TRMS). While the control architecture exhibited stability and precise tracking in simulation, physical deployment initially failed due to sensitivity to measurement noise and the peaking phenomenon, resulting in a divergent response with a Yaw RMSE of 2.56 rad. Unlike conventional approaches that attempt to bridge the simulation-to-reality gap by optimizing the controller, we hypothesized that the critical bottleneck lay within the observer dynamics. To address this, a Radial Basis Function (RBF) Neural Network was employed to adaptively tune the observer gains in real time. Experimental results demonstrate that this adaptive mechanism successfully mitigated the effects of unmodeled dynamics and noise, reducing the Root Mean Square Error (RMSE) by over 85% in the pitch axis and 95% in the yaw axis. These findings substantiate that online adaptive observer tuning is a decisive strategy for ensuring the reliability of advanced nonlinear controllers on physical hardware.","url":"https://doi.org/10.3390/automation7020040","authors":["Azeddine BELOUFA","Souad Tahraoui","Abderrahmane Kacimi","H. Allouache","Jun-Jiat Tiang","Abdelbasset Azzouz","Mehdi Houari Zaid"],"tags":["Control theory (sociology)","Backstepping","Observer (physics)","Computer science","Nonlinear system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-27","doi":"https://doi.org/10.3390/automation7020040","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411695247","name":"Redefining Digital Dentistry: Multidisciplinary Applications of 3D Printing for Personalized Dental Care","source":"openalex","abstract":"The integration of 3D printing into dentistry has led to a revolution in the precision and personalization of dental care. This review examines the extensive applications of 3D printing technology in various branches of dentistry. With the capability to create highly detailed, patient-specific models, devices, and appliances, 3D printing is transforming clinical workflows, enhancing the accuracy of treatments, and reducing procedural time. Moreover, it supports a digital workflow that aligns with the growing trend of personalized healthcare. Innovations in printer resolution, biocompatible materials, and printing speed continue to push the boundaries of what is possible in dental care. However, limitations related to material properties, regulatory considerations, and the need for specialized training persist. The review also highlights ongoing advancements in 3D printing technology and materials, which promise to further revolutionize dental practice. In conclusion, 3D printing holds immense potential for enhancing dental care, although overcoming existing challenges will require ongoing research and innovation.","url":"https://doi.org/10.7759/cureus.86791","authors":["Ruqayyah Hatim Almarshadi","Sabreen Hamdi","Fatimah Ali Hadi","Aisha Alshehri","Reem Alsahafi","Nouf Aljohani","Rafan M. Alyamani","Mariam Alhbchi","Nisrin AlQahtani","Reem Almutiri","Thageba Alqadi","Afnan Ahmad Alhabardi","Khairul Azha Aziz","Talal Alshammeri"],"tags":["Medicine","Multidisciplinary approach","Dentistry","Dental care","Medical physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-26","doi":"https://doi.org/10.7759/cureus.86791","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W3138558123","name":"AI-LCE: Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods – An emerging paradigm shift in Life Cycle Engineering","source":"openalex","abstract":"This paper presents a vision for a much-needed paradigm shift in Life Cycle Engineering (LCE), which is termed Adaptive and Intelligent Life Cycle Engineering (AI-LCE). To do so, interdisciplinary analysis of literature in domains of AI and LCE is performed. Needed concepts and methods are described: key enabling technologies are Artificial Intelligence (AI), the Internet of Things, and data lakes, which are becoming cost-effective and increasingly implemented in industry. Both artificial and human intelligence are used in combination. Its advantages compared with the conventional LCE include shorter time for changing activities in the lifecycle and the accuracy of changes made.","url":"https://doi.org/10.1016/j.procir.2021.01.153","authors":["Tomohiko Sakao","Peter Funk","Johannes Matschewsky","Marcus Bengtsson","Mobyen Uddin Ahmed"],"tags":["Paradigm shift","Engineering","Key (lock)","Internet of Things","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.01.153","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411061779","name":"Decentralized Proof-of-Location systems for trust, scalability, and privacy in digital societies","source":"openalex","abstract":"Verifying physical presence in digital systems is essential for secure authentication, authorization, and accountability. Proof-of-Location (PoL) systems address this need by enabling verifiable, tamper-resistant claims of location and time, particularly in adversarial environments where traditional localization methods such as GPS fall short. While recent efforts have explored decentralized PoL architectures, existing systems often lack a unified model that integrates spatio-temporal synchronization, distributed consensus, and cryptographic attestation. In this paper, we formalize the architectural foundations of decentralized PoL systems by introducing a composable model based on fault-tolerant witnessing zones. We define core components for synchronization and collective attestation, integrating primitives such as distributed digital signatures, distance bounding protocols, and consensus mechanisms. We contextualize the model across diverse application domains that necessitate digital trust-such as civic processes, content authentication, infrastructure auditing, and supply chain tracking-and argue for a shared, interoperable decentralized PoL infrastructure. To validate our design, we implement and emulate a reference protocol instance, analysing scalability, synchronization behaviour, and timing misalignment under varied conditions. We also outline its security model and discuss limitations and future directions in privacy, interoperability, and real-world deployment. Our contributions lay a formal and practical foundation for scalable, secure, and general-purpose decentralized PoL systems.","url":"https://doi.org/10.1038/s41598-025-04566-4","authors":["Eduardo Brito","Amnir Hadachi","Liina Kamm","Ulrich Norbisrath"],"tags":["Computer science","Scalability","Interoperability","Computer security","Cryptographic primitive"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-05","doi":"https://doi.org/10.1038/s41598-025-04566-4","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415382524","name":"Topology analysis and evolution trend prediction of secure propagation networks for short videos based on digital twin model","source":"openalex","abstract":"To address the problem of security analysis lag caused by the delay in dynamic topology updates in short video networks, this paper constructs a real-time digital twin framework based on edge computing lightweight proxies and achieves low-delay state response by accelerating the state synchronizer through field-programmable gate array (FPGA). For cross-modal attack detection blind spots, a joint analysis model is constructed by combining network topology and content features to improve the ability to identify complex threats and predict evolution trends. A lightweight proxy module is deployed on the content delivery network (CDN) node. Docker containerization technology is used to collect device states, user behavior, and traffic feature data in real time to build a local topology subgraph. A parallel state processor based on pipeline architecture. Incremental updates of the topological relationship matrix (500 × 500) are implemented, and the clock cycle is optimized through hardware description language. By integrating graph attention network (GAT) and bidirectional encoder representations from transformers (BERT) text encoders, a three-dimensional feature space of “node-edge-content” is established to detect topological anomalies and content violation coupled attacks of disguised accounts. A spatio-temporal graph convolutional network (STGCN) is constructed to extract topological evolution patterns in a fixed time window and predict the propagation paths of high-risk nodes. Experimental results show that the synchronization delay of FPGA tends to 0.5ms in the topology synchronization change time of 100ms, which has a high response speed; in the four types of cross-modal coordinated attack scenarios, the average identification precision and recall of the joint analysis model in this paper are 91.9%±0.9% and 88.7%±1.4%, respectively, and its cross-modal attack identification performance is strong; in the prediction of node connection probability, the root mean squared error (RMSE) of STGCN is 6.84 ± 0.31 at a time offset of 2.5 s, which verifies the model’s ability to predict evolution trends; the total end-to-end delay is 7.5ms. In the 72-hour continuous stress test, the central processing unit (CPU) usage rate is 8.3%→9.1%; the memory leak rate is < 0.01%/h; the false positive rate for abnormal events is 0.7%→1.2%; the prediction error accumulation rate is 0.05%/h, verifying the long-term prediction stability. The data results demonstrate the effectiveness of this paper’s research on secure propagation analysis of short videos and evolution trend prediction.","url":"https://doi.org/10.1007/s10791-025-09757-1","authors":["Yu Wang","Wei Liu"],"tags":["Computer science","Network topology","Topology (electrical circuits)","Graph","Synchronization (alternating current)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-21","doi":"https://doi.org/10.1007/s10791-025-09757-1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416311384","name":"Artificial Intelligence Empowering the Transformation of Building Maintenance: Current State of Research and Knowledge","source":"openalex","abstract":"With the acceleration of urbanization and the continuous expansion of building stock, building maintenance plays a critical role in ensuring structural safety, extending service life, and promoting sustainable development. In recent years, the application of artificial intelligence (AI) in building maintenance has expanded significantly, markedly improving detection accuracy and decision-making efficiency through predictive maintenance, automated defect recognition, and multi-source data integration. Although existing studies have made progress in predictive maintenance, defect identification, and data fusion, systematic quantitative analyses of the overall knowledge structure, research hotspots, and technological evolution in this field remain limited. To address this gap, this study retrieved 423 relevant publications from the Web of Science Core Collection covering the period 2000–2025 and conducted a systematic bibliometric and scientometric analysis using tools such as bibliometrix and VOSviewer. The results indicate that the field has entered a phase of rapid growth since 2017, forming four major thematic clusters: (1) intelligent construction and digital twin integration; (2) predictive maintenance and health management; (3) algorithmic innovation and performance evaluation; and (4) deep learning-driven structural inspection and automated operation and maintenance. Research hotspots are evolving from passive monitoring to proactive prediction, and further toward system-level intelligent decision-making and multi-technology integration. Emerging directions include digital twins, energy efficiency management, green buildings, cultural heritage preservation, and climate-adaptive architecture. This study constructs, for the first time, a systematic knowledge framework for AI-enabled building maintenance, revealing the research frontiers and future trends, thereby providing both data-driven support and theoretical reference for interdisciplinary collaboration and the practical implementation of intelligent maintenance.","url":"https://doi.org/10.3390/buildings15224118","authors":["Y. H. Zheng","Boyuan Sun","Yiming Guan","Yufeng Yang"],"tags":["Field (mathematics)","Computer science","Data science","Big data","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-15","doi":"https://doi.org/10.3390/buildings15224118","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4405833856","name":"Evolution in electrophysiology 100 years after Einthoven: translational and computational innovations in rhythm control of atrial fibrillation","source":"pubmed","abstract":"In 1924, the Dutch physiologist Willem Einthoven received the Nobel Prize in Physiology or Medicine for his discovery of the mechanism of the electrocardiogram (ECG). Anno 2024, the ECG is commonly used as a diagnostic tool in cardiology. In the paper 'Le T&#xe9;l&#xe9;cardiogramme', Einthoven described the first recording of the now most common cardiac arrhythmia: atrial fibrillation (AF). The treatment of AF includes rhythm control, aiming to alleviate symptoms and improve quality of life. Recent studies found that early rhythm control might additionally improve clinical outcomes. However, current therapeutic options have suboptimal efficacy and safety, highlighting a need for better rhythm-control strategies. In this review, we address the challenges related to antiarrhythmic drugs (AADs) and catheter ablation for rhythm control of AF, including significant recurrence rates and adverse side effects such as pro-arrhythmia. Furthermore, we discuss potential solutions to these challenges including novel tools, such as atrial-specific AADs and digital-twin-guided AF ablation. In particular, digital twins are a promising method to integrate a wide range of clinical data to address the heterogeneity in AF mechanisms. This may enable a more mechanism-based tailored approach that may overcome the limitations of previous precision medicine approaches based on individual biomarkers. However, several translational challenges need to be addressed before digital twins can be routinely applied in clinical practice, which we discuss at the end of this narrative review. Ultimately, the significant advances in the detection, understanding, and treatment of AF since its first ECG documentation are expected to help reduce the burden of this troublesome condition.","url":"https://doi.org/10.1093/europace/euae304","authors":["Eva Schuijt","Douglas S. Scherr","Gernot Plank","Ulrich Schotten","Jordi Heijman","Schuijt E","Scherr D","Plank G","Schotten U","Heijman J"],"tags":["Atrial fibrillation","Medicine","Cardiac electrophysiology","Proarrhythmia","Catheter ablation"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 26","doi":"https://doi.org/10.1093/europace/euae304","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"oa:W7125934423","name":"Multi-Phase Demand Modeling and Simulation of Mission-Oriented Supply Chains Using Digital Twin and Adaptive PSO","source":"openalex","abstract":"Mission-oriented supply chains involve multi-phase tasks, strong resource interdependencies, and stringent reliability requirements, which make demand planning complex and uncertain. This study develops a structured demand modeling framework to support multi-phase mission-oriented supply chains under budget and reliability constraints by integrating digital twin technology with an adaptive inertia weight particle swarm optimization (AIW-PSO) algorithm. The supply support process is decomposed into four sequential phases—storage, transportation, preparation, and execution—and phase-specific demand models are constructed based on system reliability theory, explicitly incorporating redundancy, maintainability, and repairability. In this work, digital twin technology functions as a data acquisition and virtual experimentation layer that supports parameter calibration, state-aware scenario simulation, and event-triggered re-optimization rather than continuous real-time control. Physical-state updates are mapped to model parameters such as phase durations, failure rates, repair rates, and instantaneous availability, after which the integrated optimization model is re-solved using a warm-start strategy to generate updated demand plans. The resulting multi-phase demand optimization problem is solved using AIW-PSO to enhance global search performance and mitigate premature convergence. The proposed method is validated using a representative mission-oriented supply support scenario with operational and simulated data. Simulation results demonstrate that, under identical budget constraints, the proposed approach achieves higher mission completion capability than conventional PSO-based methods, providing effective and practical decision support for multi-phase mission-oriented supply chain planning.","url":"https://doi.org/10.3390/pr14030468","authors":["Jianbo Zhao","Ruikang Wang","Yijia Jing","Yalin Wang","Chenghao Pan","Yifei Tong"],"tags":["Particle swarm optimization","Supply chain","Reliability (semiconductor)","Computer science","Mathematical optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/pr14030468","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4378905919","name":"Optimizing Interfaces of Construction Processes by Digitalization Using the Example of Hospital Construction in Germany","source":"openalex","abstract":"In hospital construction, additional challenges must be considered, such as an increased number of stakeholders and building trades, such as medical and laboratory technology. Due to the increasing requirements and challenges, associated construction processes are becoming more intricate. Especially for complex building types, the effects of this development are clearly noticeable and cause considerable disruptions to the construction process. A main difficulty constitutes the missing definition of the interfaces of building trades and participants. In the present study, interfaces in hospital construction were identified and analyzed by guided interviews with experts from the health sector. The qualitative content analysis, according to Mayring, was used for the evaluation to derive appropriate solution approaches. This paper presents the interfaces using the example of hospital construction in Germany and general approaches of optimization. Hereby, the digital method Building Information Modeling (BIM) plays a decisive role in the optimization of interfaces, especially in complex buildings. Furthermore, a task and building trade control matrix is required to better coordinate the interfaces. The identified approach intends to alleviate potential disputes and misunderstandings among stakeholders, as well as to improve time and financial predictability, which are particularly valuable during inflationary periods.","url":"https://doi.org/10.3390/buildings13061421","authors":["Sabine Hartmann","Dirk Gossmann","Suzan Kalmuk","Katharina Klemt‐Albert"],"tags":["Predictability","Process (computing)","Building information modeling","Task (project management)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-30","doi":"https://doi.org/10.3390/buildings13061421","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416337235","name":"Advancing Conceptual Understanding: A Meta-Analysis on the Impact of Digital Technologies in Higher Education Mathematics","source":"openalex","abstract":"The integration of digital technologies in mathematics is becoming increasingly significant, particularly in promoting conceptual understanding and student engagement. This study systematically reviews the literature on applications of Computer Algebra Systems, Artificial Intelligence, Visualisation Tools, augmented-reality technologies, Statistical Software, game-based learning and cloud-based learning in higher education mathematics. This meta-analysis synthesises findings from 88 empirical studies conducted between 1990 and 2025 to evaluate the impact of these technologies. The included studies encompass diverse geographical regions, providing a comprehensive global perspective on the integration of digital technologies in higher mathematics education. Using the PRISMA framework and quantitative effect size calculations, the results indicate that all interventions had a statistically significant impact on student performance. Among them, Visualisation Tools demonstrated the highest average percentage improvement in academic performance (39%), whereas cloud-based learning and game-based approaches, while beneficial, showed comparatively modest gains. The findings highlight the effectiveness of an interactive environment in fostering a deeper understanding of mathematical concepts. This study provides insights for educators and policymakers seeking to improve the quality and equity of mathematics education in the digital era.","url":"https://doi.org/10.3390/educsci15111544","authors":["Anastasia Sofroniou","Mansi Patel","Bhairavi Premnath","Julie Wall"],"tags":["Higher education","Mathematics education","Technology integration","Perspective (graphical)","Equity (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-16","doi":"https://doi.org/10.3390/educsci15111544","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4417114518","name":"Multiple Normalization Rating Analysis (MUNRA) and its application to digital supplier selection in the textile industry","source":"openalex","abstract":"The rapid development of digital technologies – such as IoT, AI, blockchain, and digital twins – has transformed supply chains into interconnected ecosystems, making digital supplier selection both critical and complex. For the first time, this study proposes a novel multi-criteria decision-making (MCDM) method, Multiple Normalization Rating Analysis (MUNRA), for ranking alternatives. It integrates linear, vector, and non-linear normalization to improve robustness, reduce rank reversal, and enhance decision accuracy. A case study of digital supplier selection in the textile industry is considered for a real-life application of the method. Results highlight technology integration, flexibility, and technological capability as the most influential criteria for selecting digital suppliers. Moreover, the final ranking of the six digital suppliers is as follows: DS5, DS4, DS2, DS6, DS1, and DS3. Validation through comparative MCDM methods, Spearman correlation, and sensitivity analyses confirms the credibility of the method. It is also shown that it is free from the rank reversal phenomenon. The research presents a computationally efficient and rigorous method for evaluating digital suppliers, offering strategic insights for digital supply chain management. The application of MUNRA to a larger decision-making problem further illustrates its scalability and cross-domain applicability.","url":"https://doi.org/10.3846/tede.2025.25346","authors":["Alptekin Ulutaş","Fatih Ecer","Zenonas Turskis"],"tags":["Normalization (sociology)","Multiple-criteria decision analysis","Computer science","Credibility","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-08","doi":"https://doi.org/10.3846/tede.2025.25346","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415835475","name":"An AI-Driven Adaptive Training Platform with Digital Twin-Based Skill Gap Analysis and Future Readiness Insights","source":"openalex","abstract":"The rapid digital transformation of industries has intensified the demand for adaptive, data-driven learning ecosystems capable of continuously aligning workforce skills with evolving technological trends. Traditional static training systems struggle to meet these dynamic needs, creating persistent skill gaps and limiting future employability. This study addresses this challenge by exploring the integration of Artificial Intelligence (AI) and Digital Twin (DT) technologies to create a hybrid, future-ready training framework. The proposed model combines reinforcement learning with generative AI to dynamically assess learner progress, perform real-time skill-gap analysis, and personalize training paths through a continuously evolving digital twin of each learner. The framework was evaluated using pilot simulations in a vocational training environment. Results showed a 22 % improvement in personalization accuracy, 15%-20% reduction in skill gaps, and an 82 % accuracy in future-readiness prediction compared with conventional adaptive learning systems. These findings highlight the transformative potential of merging AI adaptability with DT contextualization to deliver immersive, predictive, and career-aligned learning experiences. The impact of this research lies in redefining the paradigm of personalized education and workforce development-moving beyond reactive learning to proactive, anticipatory training models that prepare individuals for the demands of the digital economy.","url":"https://doi.org/10.64189/css.25410","authors":["M. M. Nayak","Pratik Rishi","Ram Chandra Neupane","Pranali Praveen Pahurkar","Drashti Shrimal"],"tags":["Adaptability","Personalization","Transformative learning","Workforce","Training (meteorology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.64189/css.25410","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4409181517","name":"Revolutionizing supply chains: The role of emerging technologies in digital transformation","source":"openalex","abstract":"The main objectives of the study are to provide a comprehensive overview of emerging technological solutions, their applications, and their impacts on supply chain digital transformation. It is qualitative research, and secondary data were collected. The study identified five effective applications of the individual solutions. AI provides effective insights, demand forecasting, warehouse automation, transportation and route optimization, supplier selection and management, and predictive maintenance. Blockchain enables tracking and transparency, enhancing traceability, cutting down on counterfeiting, encouraging sustainable and ethical sourcing, and facilitating smart payments. Business intelligence ensures improved communication, monitoring expenses, inventory management, tracking key performance indicators, and optimized visualization. Data science facilitates demand prediction, route enhancement, inventory management, hazard assessment, and supplier administration. IoT enables shipment and delivery tracking, warehouse capacity monitoring, inventory management, storage condition monitoring, and routine optimization and automation. RFID is effective for warehouse management, inventory management, freight transportation, supply chain visibility, and retail management. These emerging technologies collectively promote a more integrated, adaptable, and resilient supply chain landscape, address significant challenges, and open doors to future innovations. The results suggest that by adopting all emerging technologies within the supply chain context, business executives would increase their efficiency and enhance firm value as well.","url":"https://doi.org/10.18488/89.v11i1.4143","authors":["Naimul Islam","Tipon Tanchangya","Kamrun Naher","Ummah Tafsirun","Md Rakib Mia","Shoaibur Rahman Sarker","Fahad Rashid"],"tags":["Emerging technologies","Supply chain","Business","Transformation (genetics)","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-20","doi":"https://doi.org/10.18488/89.v11i1.4143","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4390411875","name":"Digital Shadows: Infrastructuring the Internet of Production","source":"openalex","abstract":"Abstract Digitization in the field of production is fragmented in very different domains, ranging from materials to production technology to process and business models. Each domain comes with specialized knowledge, often incorporated into mathematical models. This heterogeneity makes it hard to naively exploit advances in data-driven machine learning that could facilitate situation adaptation and experience transfer. Innovative combinations of model-driven and data-driven solutions must be invented but also made comparable and interoperable to avoid ending up in information silos. In future World Wide Labs (WWLs), experiences can be shared, aggregated, and used for innovation. WWLs will be complex, evolving socio-technical networks of interconnected devices, software, data stores, and humans as users and contributors of expert knowledge and feedback. Integrating a large number of research labs, engineering, and production sites requires a capable cross-domain Internet of Production (IoP) infrastructure. The IoP project claims Digital Shadows (DSs) to offer a shared conceptual foundation for infrastructuring the IoP. In engineering, DSs were introduced as the data provision link to Digital Twins, whereas in computer science, DSs generalize the well-established concept of database views. In this chapter, we elaborate on the roles of DSs in infrastructuring the IoP from three perspectives: analytic functionality, conceptual organization, and technical networking. As an example where an integrative DS-like approach is already highly successful, we showcase the approach and infrastructure of the process mining field.","url":"https://doi.org/10.1007/978-3-031-44497-5_25","authors":["Wil M. P. van der Aalst","Matthias Jarke","István Koren","Christoph Quix"],"tags":["Digitization","Computer science","Interoperability","Field (mathematics)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-29","doi":"https://doi.org/10.1007/978-3-031-44497-5_25","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7143480620","name":"Research on a Smart Fire Monitoring System for University Dormitories Based on Edge-Cloud Collaboration and Digital Twin Technology","source":"openalex","abstract":"In response to significant fire hazards arising from high population density and complex electricity consumption in university dormitories, as well as industry pain points such as the \"information silos\" of traditional standalone smoke alarms and the spatial localization difficulties of 2D planar monitoring systems, this paper comprehensively utilizes embedded development, Internet of Things (IoT) communication, and digital twin technologies to design and implement an edge-cloud collaborative visual monitoring system for smart fire protection. Addressing the limitations of existing fire monitoring systems, the primary innovations and research outcomes of this paper include: the design of a network self-healing mechanism against process blocking based on a kernel-level soft reset; the construction of an early fire prediction model based on multi-dimensional environmental feature fusion; and the development of a 3D digital twin interactive architecture featuring an intelligent viewpoint scheduling algorithm. For environmental data extraction at the underlying hardware level, the system employs an STM32F103 microcontroller as the core computing engine, integrating an MQ-9 combustible gas sensor, a DHT11 temperature and humidity sensor, and a far-infrared flame detector. This enables the multi-dimensional, high-frequency capture of environmental fire factors in dormitories alongside local sound and light coordinated alarms. Regarding the network communication link design, the system utilizes an ESP8266 wireless module in coordination with an Alibaba Cloud EMQX message broker server. It adopts the lightweight MQTT protocol instead of the traditional HTTP protocol and achieves the efficient packaging of heterogeneous data via JSON serialization. To solve the engineering problem of frequent device freezing (\"pseudo-death\") in the complex and weak network environments typical of university dormitories, this paper innovatively introduces a network error counter and a kernel-level soft reset self-healing mechanism to prevent process blocking. Testing indicates that this mechanism can complete a full-link self-recovery within an average of 7.79 seconds following a network disconnection, ensuring stable, 24/7 unattended terminal operation. In terms of algorithmic models and upper-level visualization applications, this project breaks through traditional rigid alarm thresholds by introducing a multi-dimensional environmental feature spatial fusion prediction model based on logistic regression. By calculating the joint posterior probability of fire occurrence through weighted bias, this algorithm significantly advances the time window for fire early warning, transitioning the system from passive response to active prevention. Furthermore, a high-fidelity digital twin monitoring platform was developed using the Unity3D engine, constructing a 3D virtual mirror of the physical dormitory. Leveraging a self-developed asynchronous MQTT client middleware and cross-platform feature tag mapping technology, the platform achieves high-frame-rate, lossless parsing of massive data. Combined with a quaternion spherical linear interpolation camera movement algorithm, the system not only triggers global audio-visual effects upon detecting a fire but also automatically and smoothly navigates the monitoring perspective to lock onto the affected room. This creates an immersive interactive experience where \"alarm equals localization, and localization equals visual confirmation.\" Comprehensive testing demonstrates that this system successfully integrates the full-stack technical pipeline, spanning underlying hardware data acquisition and cloud-based data transmission to upper-computer 3D simulation. All functional metrics meet the anticipated design requirements, validating the high feasibility and advanced nature of integrating digital twin technology with the IoT in the smart fire protection sector.","url":"https://doi.org/10.54097/7kjjak38","authors":["Xin Wang","Lei Ma","Junjie Xiong"],"tags":["MQTT","Cloud computing","Computer science","Engineering","Microcontroller"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-27","doi":"https://doi.org/10.54097/7kjjak38","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4410379816","name":"A SYSTEMATIC REVIEW OF JUDICIAL REFORMS AND LEGAL ACCESS STRATEGIES IN THE AGE OF CYBERCRIME AND DIGITAL EVIDENCE","source":"openalex","abstract":"The rapid proliferation of cybercrime and the increasing reliance on digital evidence have presented unprecedented challenges for judicial systems worldwide, prompting the urgent need for legal reform and equitable access to justice. This systematic review synthesizes and critically evaluates global literature on judicial reforms and legal access strategies specifically addressing the demands of cybercrime and the management of digital evidence. Employing the PRISMA 2020 framework, a comprehensive search was conducted across multiple academic databases including Scopus, Web of Science, ProQuest, EBSCOhost, Hein Online, Google Scholar, and SSRN resulting in the identification and full-text assessment of 142 peer-reviewed studies published between 2000 and 2024. The findings reveal a global trend toward the institutionalization of cybercrime courts, procedural modernization, and legal capacity-building aimed at equipping judicial actors with the technical knowledge required to handle complex digital evidence. Simultaneously, the review highlights evolving evidentiary standards, such as the codification of digital authentication mechanisms, and the increasing formalization of protocols governing digital forensic integrity. Importantly, access to justice in the digital age emerges as both a challenge and an area of innovation, with several jurisdictions adopting digital legal aid platforms, virtual courts, and inclusive legal service models that aim to bridge the digital divide. Furthermore, the review identifies growing international legal harmonization, including reforms driven by the Budapest Convention and recent bilateral frameworks like the CLOUD Act, which aim to address cross-border jurisdictional complexities in cybercrime investigation and prosecution. Despite these advancements, significant disparities persist between high-capacity and resource-constrained legal systems, particularly in terms of technological infrastructure, digital literacy, and procedural safeguards. Overall, this review provides an in-depth analysis of the multi-dimensional strategies employed globally to align judicial systems with the evolving digital landscape. It contributes to the growing body of scholarship on digital justice by offering a structured synthesis of reforms, challenges, and comparative insights that inform future legal, institutional, and policy development.","url":"https://doi.org/10.63125/96ex9767","authors":["Muhammad Irfan Khan","Ishtiaque Ahmed"],"tags":["Cybercrime","Digital evidence","Political science","Internet privacy","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-01","doi":"https://doi.org/10.63125/96ex9767","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411675053","name":"Can digital transformation enhance labor productivity in enterprises: An analysis from the perspective of business process reengineering","source":"openalex","abstract":"From the perspective of business process reengineering, this paper analyzes the impact of digital transformation on labor productivity in enterprises and its underlying mechanisms. The study finds that digital transformation significantly enhances labor productivity in enterprises, with both the application of digital technologies and innovation in digital technology scenarios having a notable positive effect. Furthermore, digital transformation improves labor productivity mainly by optimizing production management processes, reducing human resource redundancy, enhancing the efficiency of human resource utilization, and improving internal control mechanisms to enhance decision-making efficiency. The effects of digital transformation on labor productivity are more pronounced in non-state-owned enterprises and enterprises that are highly dependent on their industrial chains. Further analysis shows that the level of industry monopoly and the overall digitalization level of the industry play a moderating role in the process by which digital transformation affects labor productivity.","url":"https://doi.org/10.1371/journal.pone.0325484","authors":["Yi Zhou","Ji-Yan Lyu","Li Li"],"tags":["Productivity","Business process reengineering","Industrial organization","Digital transformation","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-26","doi":"https://doi.org/10.1371/journal.pone.0325484","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411888862","name":"Mapping the AI Landscape in Food Science and Engineering: A Bibliometric Analysis Enhanced with Interactive Digital Tools and Company Case Studies","source":"openalex","abstract":"The proliferation of research on Artificial Intelligence (AI) in food science and engineering has made it increasingly difficult to synthesise relevant insights effectively. Although AI adoption in the food industry has grown, it lags behind sectors like finance and healthcare due to the complexity of food systems, including high process variability, risk aversion towards novel technologies, and constrained investment appetite. Historically, computational techniques and AI-adjacent technologies like expert systems and empirical modelling have supported food research and development for decades. More recently, AI applications have broadened to include process control, food safety, ingredient and product quality, sensory evaluation, traceability, and supply chain management. In response to the rapid increase in AI-related food science publications - particularly since 2019 - this review introduces tools for dynamically synthesising and exploring this evolving knowledge base. We present an interactive dashboard that integrates a curated dataset of food AI review articles with advanced bibliometric analyses, enabling user-driven exploration of research trends and thematic relationships. Additionally, we demonstrate the use of customised large language model (LLM) tools for targeted literature interrogation, enhancing accessibility for researchers and industry stakeholders. Complementing this academic synthesis, we profile selected industry case studies where AI plays a central role in ingredient discovery, product development, intelligent sorting, and sensory analytics. By combining interactive research tools with real-world case studies, this review offers a comprehensive snapshot of Food AI and begins to bridge the gap between academic research and industry implementation, providing a valuable resource for those seeking both domain-specific knowledge and actionable insights. Supplementary Information: The online version contains supplementary material available at 10.1007/s12393-025-09413-w.","url":"https://doi.org/10.1007/s12393-025-09413-w","authors":["Jordan Pennells","Peter Watkins","Alexander L. Bowler","Nicholas J. Watson","Kai Knoerzer"],"tags":["Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.1007/s12393-025-09413-w","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7128593105","name":"Supply Chain Digitalization and Its Resilience: A Systematic Framework and Empirical Evidence","source":"openalex","abstract":"The supply chain is a complex system formed by the interactive coupling of multiple agents and multiple levels. To investigate the impact of its digitalization on resilience in depth, this study uses a sample of A-share listed companies in China from 2011 to 2024, employs text analysis to measure the level of digitalization covering the five core supply chain links, and constructs a comprehensive index of supply chain resilience from the dual dimensions of resistance and recovery capability. The empirical results show that supply chain digitalization significantly enhances supply chain resilience. The mechanism analysis reveals that supply chain digitalization enhances its resilience through three channels. At the information level, supply chain digitalization improves information transparency, thereby building a stronger foundation for risk warning and coordinated decision-making among supply chain firms. At the collaboration level, it reduces collaboration costs and enhances collaboration efficiency across different entities in the supply chain. At the resource level, it increases resource flexibility, providing a buffer space for rapid reconfiguration and dynamic adjustment of the supply chain system after disruptions. Heterogeneity analysis further indicates that this facilitating effect is stronger for firms in highly marketized regions, non-state-owned firms, and high-tech industries. From a complex system perspective, this study elucidates how supply chain digitalization strengthens its resilience through multi-level mechanisms, offering empirical evidence for advancing systematic supply chain digitalization.","url":"https://doi.org/10.3390/systems14020194","authors":["Jiang Hu","Jiangming Ma"],"tags":["Supply chain","Supply chain risk management","Business","Supply chain management","Empirical evidence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-11","doi":"https://doi.org/10.3390/systems14020194","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4417493825","name":"Unmanned Aerial Vehicles (UAVs) in the Energy and Heating Sectors: Current Practices and Future Directions","source":"openalex","abstract":"Dynamic social and legal transformations drive technological innovation and the transition of energy and heating sectors toward renewable sources and higher efficiency. Ensuring the reliable operation of these systems requires regular inspections, fault detection, and infrastructure maintenance. Unmanned Aerial Vehicles (UAVs) are increasingly being used for monitoring and diagnostics of photovoltaic and wind farms, power transmission lines, and urban heating networks. Based on literature from 2015 to 2025 (Scopus database), this review compares UAV platforms, sensors, and inspection methods, including thermal, RGB/multispectral, LiDAR, and acoustic, highlighting current challenges. The analysis of legal regulations and resulting operational limitations for UAVs, based on the frameworks of the EU, the US, and China, is also presented. UAVs offer high-resolution data, rapid coverage, and cost reduction compared to conventional approaches. However, they face limitations related to flight endurance, weather sensitivity, regulatory restrictions, and data processing. Key trends include multi-sensor integration, coordinated multi-UAV missions, on-board edge-AI analytics, digital twin integration, and predictive maintenance. The study highlights the need to develop standardised data models, interoperable sensor systems, and legal frameworks that enable autonomous operations to advance UAV implementation in energy and heating infrastructure management.","url":"https://doi.org/10.3390/en19010005","authors":["Mateusz Jakubiak","Katarzyna Sroka","Kamil Maciuk","Amgad Abazeed","Anastasiia Kovalova","Luís Santos"],"tags":["Renewable energy","Interoperability","Key (lock)","Wind power","Fault (geology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-19","doi":"https://doi.org/10.3390/en19010005","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4407341241","name":"Evaluation and Analysis of Industrial Internet Maturity for Power Enterprises in the Digital Transformation","source":"openalex","abstract":"The industrial Internet plays a vital role in promoting the digital transformation of enterprises, especially in the core application field of the power industry. Evaluating the maturity of the industrial Internet of power enterprises and finding the weak points in the construction of the industrial Internet are of great significance for the digital transformation of power enterprises. Firstly, this paper reviews the existing literature and analyzes the evaluation situation of industrial Internet maturity. Research has found that there is relatively little research on the maturity evaluation of the industrial Internet for the power industry, and existing maturity models have difficulty meeting industry-specific needs. Therefore, it is very important and necessary to build a maturity evaluation model of the industrial Internet suitable for the power industry. Subsequently, based on the specific characteristics of the power industry, while referring to the authoritative literature and industry standards, this paper constructs a three-level index system covering key elements such as equipment networking, information network infrastructure construction, supply chain management, and intelligent production and simultaneously expounds the quantitative collection methods and scoring principles of indices. Then, introducing the Analytic Hierarchy Process (AHP) to determine subjective weights and the Entropy Weight Method (EWM) to quantify the objective weights of indices, a maturity evaluation method that combines subjective judgment and objective data support is formed. Later, the calculation method for the comprehensive score of indices and the criteria for classifying maturity levels are explained. Finally, a specific power enterprise is selected as a case study, and the evaluation results are analyzed to verify the feasibility of the evaluation method.","url":"https://doi.org/10.3390/systems13020104","authors":["Jia Yan","Zengqiang Wang","Qianying Li"],"tags":["Analytic hierarchy process","The Internet","Maturity (psychological)","Capability Maturity Model","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-09","doi":"https://doi.org/10.3390/systems13020104","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7126076532","name":"Towards Digital Twin of Distribution Grids with High Share of Distributed Energy Systems Environment for State Estimation and Congestion Management","source":"openalex","abstract":"Distributed energy systems (DES), such as photovoltaics (PV), heat pumps (HPs), and electric vehicles (EVs), are being rapidly integrated into low-voltage (LV) grids, while measurement coverage remains limited. This paper presents a concept for an LV grid digital twin designed to enable real-time state estimation (SE) and operation-oriented studies under constrained measurement availability. Based on this concept, an exemplary digital twin is developed and demonstrated for a test area with a high PV penetration. The proposed digital twin integrates a topology-aware grid model, realistic parameterization, standardized IEC 61850 data modeling, and a real-time estimation pipeline that processes heterogeneous measurement data, including PV inverter power and voltage as well as transformer and feeder measurements. The approach is demonstrated through software-in-the-loop (SIL) experiments using historical playback and accelerated simulations, as well as hardware-in-the-loop (HIL) tests for real-time operation. The SIL results show that the digital twin enables continuous grid monitoring, enhances transparency for distribution system operators (DSOs), and leverages existing infrastructure to increase the effective PV hosting capacity. Selective PV curtailment mitigates congestion and restores normal operation, indicating a potentially cost-effective alternative to grid reinforcement. The HIL experiments emphasize the importance of high-quality, standardized data. The achieved accuracy depends on data availability and synchronization, highlighting the need for improved data integration. Overall, the proposed approach provides a viable pathway toward data-driven planning and operation of LV grids with high DES penetration.","url":"https://doi.org/10.3390/en19030720","authors":["Basem Idlbi","Dietmar Richard Graeber"],"tags":["IEC 61850","Grid","Distributed generation","Computer science","Transformer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-29","doi":"https://doi.org/10.3390/en19030720","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414184255","name":"Digital Economy and Multiplier Effects","source":"openalex","abstract":"The article is devoted to the analysis of a specific aspect of the digital economy influence on the dynamics of economic growth, namely, the analysis of the multiplier effects generated by the digital economy. The article analyzes the positive and negative aspects of the digitalization impact on the dynamics of modern macroeconomic development. Attention is focused on the fact that the vast majority of these aspects have already been identified and studied. While researchers pay insufficient attention to the multiplier effects of economic digitalization. It is shown that the relevance of these effects study is determined by the fact that, along with the strengthening of the country’s economic development processes, these effects can generate a shortage of resources and inflation. Consequently, multiplier effects require consideration in economic digitalization projects. Consideration should be supplemented with an active influence on the trajectory of the investment projects implementation through a change in the value of the investment multiplier. The purpose of this article is to analyze the positive and negative multiplier effects generated by modern processes of macroeconomic digitalization. The article clarifies the mechanism of action of the investment multiplier through the formation of multiplicative chains based on the transformation of the expenses of some their participants into the income of others. The positive and negative directions of the influence of digitalization on the dynamics of the investment multiplier are characterized. It is concluded that the positive impact generated as part of the digitalization of the world economy on the value of the investment multiplier prevails over the negative ones. The results obtained are confirmed by statistical data characterizing the multiplier effects of the digital economy in different countries of the world. It is noted that certain concerns remain regarding the negative impact of digitalization on multiplier effects through its impact on the labor market.","url":"https://doi.org/10.37791/2687-0657-2024-18-1-41-55","authors":["В. В. Еремин"],"tags":["Multiplier (economics)","Economics","Investment (military)","Economic shortage","Value (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-27","doi":"https://doi.org/10.37791/2687-0657-2024-18-1-41-55","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412700346","name":"Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review","source":"openalex","abstract":"The treatment processes from a wastewater treatment plant (WWTP) are known for their complexity and highly nonlinear behavior, which makes them challenging to analyze, model, and especially, to control. This research studies how machine learning (ML) with a focus on deep learning (DL) techniques can be applied to optimize the treatment processes of WWTPs, highlighting those case studies that propose ML and DL methods that directly address this issue. This research aims to study the ML and DL systematic applications in optimizing the wastewater treatment processes from an industrial plant, such as the modeling of complex physical–chemical processes, real-time monitoring and prediction of critical wastewater quality indicators, chemical reactants consumption reduction, minimization of plant energy consumption, plant effluent quality prediction, development of data-driven type models as support in the decision-making process, etc. To perform a detailed analysis, 87 articles were included from an initial set of 324, using criteria such as wastewater combined with ML, DL, and artificial intelligence (AI), for articles from 2010 or newer. From the initial set of 324 scientific articles, 300 were identified using Litmaps, obtained from five important scientific databases, all focusing on addressing the specific problem proposed for investigation. Thus, this paper identifies gaps in the current research, discusses ML and DL algorithms in the context of optimizing wastewater treatment processes, and identifies future directions for optimizing these processes through data-driven methods. As opposed to traditional models, IA models (ML, DL, hybrid and ensemble models, digital twin, IoT, etc.) demonstrated significant advantages in wastewater quality indicator prediction and forecasting, in energy consumption forecasting, in temporal pattern recognition, and in optimal interpretability for normative compliance. Integrating advanced ML and DL technologies into the various processes involved in wastewater treatment improves the plant systems’ predictive capabilities and ensures a higher level of compliance with environmental standards.","url":"https://doi.org/10.3390/app15158360","authors":["Florin Zamfir","Mădălina Cărbureanu","Sanda Florentina Mihalache"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.3390/app15158360","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7116650528","name":"Hazard- and Fairness-Aware Evacuation with Grid-Interactive Energy Management: A Digital-Twin Controller for Life Safety and Sustainability","source":"openalex","abstract":"The paper introduces a real-time digital-twin controller that manages evacuation routes while operating GEEM for emergency energy management during building fires. The system consists of three interconnected parts which include (i) a physics-based hazard surrogate for short-term smoke and temperature field prediction from sensor data (ii), a router system that manages path updates for individual users and controls exposure and network congestion (iii), and an energy management system that regulates the exchange between PV power and battery storage and diesel fuel and grid electricity to preserve vital life-safety operations while reducing both power usage and environmental carbon output. The system operates through independent modules that function autonomously to preserve operational stability when sensors face delays or communication failures, and it meets Industry 5.0 requirements through its implementation of auditable policy controls for hazard penalties, fairness weight, and battery reserve floor settings. We evaluate the controller in co-simulation across multiple building layouts and feeder constraints. The proposed method achieves superior performance to existing AI/RL baselines because it reduces near-worst-case egress time (T95 and worst-case exposure) and decreases both event energy Eevent and CO2-equivalent CO2event while upholding all capacity, exposure cap, and grid import limit constraints. A high-VRE, tight-feeder stress test shows how reserve management, flexible-load shedding, and PV curtailment can achieve trade-offs between unserved critical load Uenergy and emissions. The team delivers implementation details together with reporting templates to assist researchers in reaching reproducibility goals. The research shows that emergency energy systems, which integrate evacuation systems, achieve better safety results and environmental advantages that enable smart-city integration through digital thread operations throughout design, commissioning, and operational stages.","url":"https://doi.org/10.3390/su18010133","authors":["Mansoor Alghamdi","Ahmad Abadleh","Sami Mnasri","Malek Alrashidi","Ibrahim S. Alkhazi","Abdullah Alghamdi","Saleh Albelwi"],"tags":["Computer science","Controller (irrigation)","Default gateway","Reliability engineering","Energy management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/su18010133","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416322172","name":"Virtual Museums as Meaning-Modeling Systems in Digital Heritage","source":"openalex","abstract":"This article frames the virtual museum as a meaning-modeling system within digital heritage and proposes an operational semiotic method for analysis. Grounded in Modeling Systems Theory and informed by Adorno’s non-identity, we construct a twelve-category coding matrix that combines three modeling levels with four organizational forms. Applying this matrix to five heterogeneous cases (web, VR, and 3D environments), we derive three quantitative ratios that summarize each system’s profile: the Abstraction Ratio (degree of conceptual mediation), the Connectivity Ratio (degree of interlinking and systematic organization), and the Object Primacy Score (degree of object-centered representation). Exploratory clustering on these ratios reveals three recurrent patterns of virtual-heritage mediation: Network-Symbolic, Concept-Dominant, and Object-Preserving. The results articulate how different curatorial and technical choices redistribute attention between objects, contexts, and concepts, and how these redistributions affect the subject–object balance in digital settings. The contribution is twofold: a transparent, reproducible coding protocol that enables cross-case comparison, and an interpretive lens that relates quantitative patterns to critical concerns in heritage, including authenticity, legibility, and over-standardization. We conclude with implications for curators and designers seeking to align immersive interfaces with heritage values while preserving the irreducible remainder of the object.","url":"https://doi.org/10.3390/heritage8110484","authors":["Huining Guan","Pengbo Chen","Cheeyun Lilian Kwon"],"tags":["Computer science","Abstraction","Coding (social sciences)","Construct (python library)","Cultural heritage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-18","doi":"https://doi.org/10.3390/heritage8110484","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4212904045","name":"Digitalization issues of the agro-industrial complex","source":"openalex","abstract":"Abstract An overview of digital technologies in the agro-industrial complex is presented in the article. The stages of digital transformation of the agricultural sector are revealed. The trends of its digitalization are established. It is noted that in the near future the set of digital solutions in the sphere of agro-industrial complex such as \"Digital Land Use\", \"Smart Field\", \"Smart Greenhouse\", \"Smart Garden\", \"Smart Farm\", \"Digital Technologies in the Management of the Agro-Industrial Complex\" will be implemented in the domestic agro-industrial complex. It is shown that for agricultural holdings digitalization includes three stages. The first stage implies the organization of business processes, including the integration of accounting systems, the introduction of electronic records management, the use of dashboarding, the formation of the database of key performance indicators. At the second stage of digitalization agricultural companies introduce innovations such as precision farming, artificial intelligence, computer vision, machine learning, etc. It has been established that at present in the Bryansk region smart farming technologies are used based on the use of geographic information systems, satellite systems, equipment monitoring systems, digital solutions in animal husbandry, etc. The definite actions for training IT specialists with digital competencies in the agrarian sphere in the conditions of the digital transformation of the agro-industrial complex are proposed.","url":"https://doi.org/10.1088/1755-1315/979/1/012024","authors":["Vladimir Anatolyevich Pogonyshev","В Е Ториков","Д. А. Погонышева","G.V. Seraya","T. M. Khvostenko"],"tags":["Digital transformation","Agriculture","Computer science","Agrarian society","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-01","doi":"https://doi.org/10.1088/1755-1315/979/1/012024","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416188208","name":"Crystal Plasticity Simulations of Dislocation Slip and Twinning in α-Ti Single and Polycrystals","source":"openalex","abstract":"A crystal plasticity finite element model is developed and implemented to numerically study the deformation behavior of hexagonal close-packed metals using α-titanium as an example. The model takes into account micromechanical deformation mechanisms through dislocation slip along prismatic, basal, and first-order pyramidal systems, as well as tensile twinning. Twin initiation follows a two-conditional criterion requiring that both the resolved shear stress in a twin system and the accumulated pyramidal slip simultaneously reach their critical values. Three-dimensional polycrystalline models are generated using the step-by-step packing method. The crystal plasticity constitutive model describing the deformation behavior of grains is integrated into the boundary-value problem of continuum mechanics, including dynamic governing equations. The three-dimensional problem is solved numerically using the finite element method. The micromechanical model is tested for an α-titanium single crystal along the [0001] direction and a polycrystal consisting of 50 grains. The numerical results reveal that twin propagation is controlled by the critical value of accumulated pyramidal slip, emphasizing the need for experimental calibration. The agreement between numerical and experimental results provides the model validation at the meso- and macroscales.","url":"https://doi.org/10.3390/met15111243","authors":["Е. Emelianova","M. Pisarev","Р. Р. Балохонов","В. А. Романова"],"tags":["Crystal twinning","Materials science","Plasticity","Slip (aerodynamics)","Finite element method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-13","doi":"https://doi.org/10.3390/met15111243","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412612363","name":"Devolving digitalisation: local government, local welfare and the digital welfare state","source":"openalex","abstract":"There is increasing interest in examining the digital welfare state. To date, much ethical and analytical scrutiny of digital welfare has focused on the large, nation-state level initiatives of digital transformation, with less attention given to what is happening in local government, especially in the UK. This is despite local authorities playing an essential role in citizen-state relations, and their increasing (yet uneven) move towards an ‘interface first’ governance for the provision of local services. This article has three key purposes. First, to outline the increasing importance of one field of local government activity that raises demands for digitalisation of processes: local welfare (such as discretionary and local welfare assistance). Where local government has the burden for the design and delivery of policy – as with local welfare – this comes with tied responsibility for the design and delivery of digitalisation of these processes. Second, to outline the variations of local welfare administration and reflect on the role of digital interfaces in this context. To do so, we draw on examples from commissioned funding through the UK Ministry of Housing, Communities and local government. Finally, building on the arguments throughout the article, we set out areas for future research in local digital welfare provision.","url":"https://doi.org/10.1080/09649069.2025.2530878","authors":["Hayley Bennett","Jed Meers"],"tags":["Welfare","Welfare state","Local government","Public economics","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-03","doi":"https://doi.org/10.1080/09649069.2025.2530878","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4413807538","name":"Low-carbon effects of farmers’ digital economy participation: further discussing digital equality","source":"openalex","abstract":"Introduction Under the urgent need to deal with climate change and achieve the dual-carbon goal, integrating the digital economy and traditional agriculture has become an important starting point for promoting the low-carbon agricultural transformation. In the context of the digital economy, it will be more practical to pay attention to the main role of micro-farmers in low-carbon agricultural development. Methods This paper uses farmer survey data from 10 provinces in China, including Guangdong, Zhejiang, Shandong, and Heilongjiang, to study the impact and mechanism of digital economy participation on farmers’ low-carbon production performance. Results Digital economy participation can significantly improve farmers’ low-carbon production performance. Farmers’ low-carbon production willingness and low-carbon production behavior are important ways for digital economy participation to exert low-carbon effects. Farmers with rural elite status and outworking who participate in the digital economy will actively improve their low-carbon production performance. Discussion Digital economic inequality will impact the low-carbon effect of farmers’ digital economy participation. This effect is more obvious for farmers with older age and lower education levels.","url":"https://doi.org/10.3389/fsufs.2025.1576230","authors":["Xinyao Wang","Xinyi Li"],"tags":["Low-carbon economy","Production (economics)","Context (archaeology)","Digital economy","Agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.3389/fsufs.2025.1576230","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7147216419","name":"Digital Twin-Based Intelligent System for Thermal Conditioning of Engines and Vehicles with Phase Change Thermal Energy Storage","source":"openalex","abstract":"The development of modern transport energy systems is driven by increasing demands for energy efficiency, environmental sustainability, and operational reliability of vehicles. One of the most critical challenges in internal combustion engine operation is the cold-start condition, which results in increased fuel consumption, intensified component wear, and elevated emissions. Under these conditions, the development of intelligent thermal conditioning systems capable of accelerating engine warm-up and maintaining optimal thermal regimes becomes essential. This study proposes an intelligent engine and vehicle thermal conditioning system based on the integration of digital twin technology and phase-change thermal (PCM) energy storage. A digital twin architecture of the engine thermal conditioning system is developed to enable the integration of monitoring, simulation and predictive control of engine thermal processes. A mathematical model of the thermal conditioning system describing the dynamic temperature behavior of the engine, coolant, engine oil and PCM-based thermal energy storage units is formulated. A model predictive control strategy is implemented within the digital twin environment to support decision-making and optimization of engine thermal conditioning processes. Simulation and experimental results demonstrate that the proposed system can reduce engine warm-up time by 17.8–68.4%, decrease fuel consumption during the cold start phase by approximately 19.5–56.25%, and reduce harmful emissions. These findings confirm the potential of integrating digital twin technologies, predictive control and phase change thermal energy storage for improving the energy efficiency and environmental performance of modern transport power systems.","url":"https://doi.org/10.3390/app16073439","authors":["Ігор Грицук","Justas Žaglinskis"],"tags":["Automotive engineering","Internal combustion engine","Thermal energy storage","Model predictive control","Thermal energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"https://doi.org/10.3390/app16073439","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4408125408","name":"AI Augmented Digital Twins for IoT-Enabled Smart Infrastructure: Big Data Analytics for Real-time Optimization.","source":"openalex","abstract":"The rapid development of IoT and AI has changed the way smart infrastructure is designed, managed, and improved.AI-augmented digital twins, which are virtual replicas of physical systems enhanced with AI-driven analytics, will soon become a key technology for real-time monitoring and decision-making.With digital twins incorporating IoT data feeds, big data modeling, and AI, they are able to provide the equivalent of periodic maintenance, real-time infrastructure optimization, and monitoring that infrastructure works as it should.This might encompass a town or national power grid and systems for intelligent transportation, facilities, and industrial automation.This document investigates AI-assisted digital twins and how they help to grow the scale and resilience of IoT-enabled smart infrastructure.By using AI technologies, including deep learning, reinforcement learning, and edge computing, digital twins are able to undergo dynamic modifications and changes in response to environmental factors or problems in operation.Significant applications in this field include power grid optimization, smart transportation management, and industrial IoT (IIoT) plant control.There, digital twins support data-driven decision-making and automation technologies.The paper analyzes the challenges in realizing AI-augmented digital twins.These challenges include data integration complexities, computational scalability, and cybersecurity risks.To confront or resolve these challenges, the author proposed different methods: secure data sharing with federated learning, scalable computing in a hybrid cloud-edge architecture, and enhanced security through blockchain technology.The results suggest that using AI-powered digital twins can bring about a level of harmonious efficiency, sustainability, and resilience in IoT-enabled smart infrastructure that has never before been known; they are the necessary choice for the next generation of intelligent urban and industrial ecosystems.","url":"https://doi.org/10.55248/gengpi.6.0225.0901","authors":["Obiajuru Triumph Nwadiokwu"],"tags":["Internet of Things","Big data","Computer science","Analytics","Real-time data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-01","doi":"https://doi.org/10.55248/gengpi.6.0225.0901","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4413079042","name":"Incoherent Digital Holography Empowered by Wavefront and Information Engineering: A Review","source":"openalex","abstract":"Incoherent digital holography (IDH) is a technique used to create holograms with a spatially incoherent light source. This technique has unlocked the potential of holography and expanded its applications to 3D fluorescence microscopy and 3D imaging under sunlight. Recent progress in IDH stems from wavefront engineering, in which the phase or polarization of light is tailored using a phase‐only spatial light modulator, diffractive optics, metasurfaces, or unique optical configurations with refractive and/or reflective optical devices. Information engineering techniques, such as compressive sensing and deep learning, have also attracted attention in IDH, outperforming conventional optics‐physics‐based reconstruction. Through wavefront and information engineering, attractive features, such as single‐shot recording and enhanced image quality, have been achieved in IDH systems. This paper reviews the basic theory of IDH and compares it to laser‐based digital holography. Furthermore, an overview of the remarkable advances in IDH facilitated by wavefront and information engineering is presented. Finally, the outlook of wavefront and information engineering toward practical and diverse IDH applications is discussed, providing valuable insights for future studies.","url":"https://doi.org/10.1002/adpr.202500078","authors":["Teruyoshi Nobukawa"],"tags":["Wavefront","Holography","Digital holography","Optics","Spatial light modulator"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-17","doi":"https://doi.org/10.1002/adpr.202500078","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4389131498","name":"Characterization and Provenance of Carbonate Rocks for Quicklime and Dololime Production in Twin-Shaft Regenerative Kilns from the Arabian Peninsula and Neighboring Countries","source":"openalex","abstract":"This study analyzes high-grade carbonate rocks from several strategic deposits in the Arabian Peninsula and neighboring countries. The rocks are used locally for quicklime and dololime production in twin-shaft regenerative kilns. Stable C-O-Sr isotopes, along with chemical, mineralogical-petrographic analyses, micropaleontological investigations, cathodoluminescence microscopy, organic carbon speciation, and electron paramagnetic resonance spectroscopy, were used to trace the provenance of these rocks from economically significant non-metallic deposits. The resulting database can help identify and differentiate industrial raw materials that may appear similar chemically and/or macroscopically but have different textures/microstructures that can affect the properties of the derived burnt lime products. Various technological tests, including slaking reactivity, sticking tendency at high-temperature (i.e., 1300 °C), and physico-mechanical behavior of the lime, were performed to evaluate their suitability and predict lime performance in twin-shaft regenerative kilns. Comparison of laboratory and plant results validated the resulting database.","url":"https://doi.org/10.3390/min13121500","authors":["Gabriele Vola","Matteo Ardit","Gianluca Frijia","Francesco Di Benedetto","Flavio Fornasier","Federico Lugli","Claudio Natali","Luca Sarandrea","Katharina Schmitt","Anna Cipriani"],"tags":["Petrography","Provenance","Massif","Carbonate","Geology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-29","doi":"https://doi.org/10.3390/min13121500","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411472917","name":"Fostering Sustainable Urban Energy Transitions: Backcasting for Positive Energy Districts and Digital Twin strategies in a European context","source":"openalex","abstract":"Positive Energy Districts (PEDs) have emerged as a key urban innovation to accelerate the transition toward climate neutrality and sustainability in cities. This study explores the integration of backcasting methodologies and Digital Twin (DT) strategies to advance the development of PEDs. A two-step approach was employed: participatory backcasting workshops to co-create long-term visions and actionable strategies, and DT technology applications tailored to three Urban Living Labs (ULLs) in Vienna (Austria), Gothenburg (Sweden), and Sakarya (Türkiye). The backcasting process facilitated the identification of pathways to energy efficiency, renewable energy integration, and decarbonization, creating a structured yet adaptable roadmap for PED development. DT functionalities—including Digitize, Visualize, Simulate, Predict, and Orchestrate—transformed these plans into operational tools, enabling real-time monitoring, predictive modeling, and adaptive energy management. The study underscores the critical role of stakeholder collaboration in aligning local priorities with sustainability goals and demonstrates the capacity of DT frameworks and PEDs to enhance energy efficiency in diverse urban contexts. However, challenges such as scalability, resource intensity, and sustaining long-term engagement persist. This dual approach highlights the potential of integrating participatory planning with advanced digital tools to bridge the gap between visionary energy goals and practical implementation, offering a replicable framework for urban energy transitions and decarbonization.","url":"https://doi.org/10.7771/3067-4883.1959","authors":["Elena Malakhatka","Holger Wallbaum","Sara Abouebeid","Gerhard Hofer","Parham Pooyanfar","İlker Dursun","Gundula Weber","Hüseyin Serdar Geçer","Liane Thuvander"],"tags":["Backcasting","Context (archaeology)","Energy (signal processing)","Sustainable energy","Economic geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.1959","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4417428933","name":"Bridging digital innovation and energy justice: The role of artificial intelligence in advancing energy equity","source":"openalex","abstract":"Type of the article: Research ArticleAbstract Global progress toward universal access to affordable, reliable, and clean energy has stalled, with over two billion people still lacking access to clean cooking, and affordability pressures are rising. AI is emerging as an energy-intensive technology and a potential enabler of more equitable energy systems. This paper assesses whether AI vibrancy contributes to advancing energy equity across countries while accounting for differences in economic capacity. The study employs a balanced panel of 36 countries from 2017 to 2023 (252 observations), drawing on the Global AI Vibrancy Tool, World Bank Open Data, and the World Energy Council’s Energy Trilemma Index. Box–Cox transformations were applied to address skewness, and panel econometric models (fixed and random effects) with robust standard errors were estimated. The FE model shows no significant within-country effect of AI vibrancy on energy equity (R² = 0.012). The RE model indicates a positive association: a one-unit increase in the AI vibrancy score results in an improvement of 0.00165 in the energy equity index (p < 0.01). At the same time, GDP per capita exerts a strong and highly significant effect (p < 0.001). The RE model explains 12.4% of the overall variation in energy equity. After correcting for heteroscedasticity and cross-sectional dependence, GDP per capita remains significant, whereas the effect of AI vibrancy weakens to marginal significance (p ≈ 0.09). Country-specific effects further reveal systematic over- and under-performance beyond what AI vibrancy and income predict, underscoring the critical role of governance and institutional quality in shaping energy equity outcomes.AcknowledgmentThe article was prepared as a part of the MSCA4Ukraine project 06030419, European Union’s Horizon 2020 Research and Innovation Programme. Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union, the European Research Executive Agency, or the MSCA4Ukraine Consortium. Neither the European Union nor the European Research Executive Agency, nor the MSCA4Ukraine Consortium as a whole, nor any individual member institutions of the MSCA4Ukraine Consortium can be held responsible for them.","url":"https://doi.org/10.21511/ee.16(4).2025.11","authors":["Oxana Kirichok","Yuliia Orlovska","G.S. Zhanseitova","Alvina Oriekhova","Denys Babaiev","Oleksii Havrylenko","Tetiana Vasylieva"],"tags":["Economics","Equity (law)","Per capita","Enabling","Panel data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-17","doi":"https://doi.org/10.21511/ee.16(4).2025.11","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411384814","name":"Factors Leading to the Digital Transformation Dead Zone in Shipping SMEs: A Dynamic Capability Theory Perspective","source":"openalex","abstract":"Digital transformation (DT) has become a crucial driver of competitiveness in the shipping industry. However, many small- and medium-sized enterprises (SMEs) encounter barriers that result in digital transformation dead zones (DTDZs), where digital initiatives stagnate or fail to achieve the expected outcomes. This study investigates the key factors contributing to digital stagnation specifically within Vietnamese shipping SMEs, adopting the lens of the dynamic capabilities theory (DCT)—a framework that emphasizes firms’ abilities to sense opportunities, seize them, and reconfigure resources to maintain competitiveness in rapidly evolving environments. The DCT provides a dynamic and process-oriented perspective on how organizations adapt to technological change by building flexible and integrative capabilities. Based on quantitative data collected from 588 respondents across the Vietnamese shipping sector, the study employed structural equation modeling (SEM) to empirically assess the relationships among critical digital transformation variables. The findings reveal that inadequate sensing capabilities and a lack of data analytics are the most significant barriers, limiting firms’ ability to identify and act on digital opportunities. Additionally, limited ecosystem collaboration and supply chain fragmentation further exacerbate digital inertia. While poor reconfiguration capabilities and weak seizing capabilities also contribute to digital stagnation, their effects are comparatively weaker. The study offers theoretical contributions by extending the DCT, the resource-based view (RBV), and the ecosystem theory to the maritime sector, emphasizing the interplay between organizational, technological, and external barriers. Practical implications highlight the need for strategic investments in data analytics, ecosystem collaboration, and adaptive leadership to overcome digital stagnation.","url":"https://doi.org/10.3390/su17125553","authors":["Thanh-Nhat-Lai Nguyen","Son-Tung Le"],"tags":["Perspective (graphical)","Transformation (genetics)","Business","Dynamic capabilities","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-17","doi":"https://doi.org/10.3390/su17125553","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414480456","name":"Cyber threat in drone systems: bridging real-time security, legal admissibility, and digital forensic solution readiness","source":"openalex","abstract":"The rapid expansion of drones otherwise known as Unmanned Aerial Vehicles (UAVs), in critical sectors has increased their exposure to cyber threats such as GPS spoofing, command hijacking, and firmware tampering. Existing forensic tools often fail to address UAV-specific challenges like volatile memory and limited storage, hindering effective investigations. Hence, to address this gap, this study proposes the Enhanced UAV Forensic Framework (EUAVFF) a modular, forensic-by-design model integrating blockchain audit trails, secure logging, telemetry offloading, and UAV-friendly encryption. Validated through a literature review and a stakeholder survey (n = 100), results showed that over 70% of respondents lacked awareness of UAV cyber risks, and current drones were rated poorly in key forensic areas, including tamper-proof logging and legal evidence handling. Only 28% were familiar with drone-specific threats, reflecting critical gaps in preparedness.These findings emphasize the urgent need for proactive forensic integration. EUAVFF offers a structured path to secure, accountable, and resilient UAV operations in increasingly hostile cyber environments.","url":"https://doi.org/10.3389/frcmn.2025.1661928","authors":["Usman Mohammed","Abiodun Esther Omolara","Oludare Isaac Abiodun","Jawad Rasheed","Onur Osman","Patricia Manko Lar","Philip Oyadiran Adeyinka","Adeola Grace Olugbenga"],"tags":["Drone","Computer security","Bridging (networking)","Digital forensics","Audit"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"https://doi.org/10.3389/frcmn.2025.1661928","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412423950","name":"Examining Digital Fashion’s Functions and Performers in the Metaverse","source":"openalex","abstract":"This study investigates self-dramatization and related emotions in the metaverse through the three distinct frameworks of self-affirmation theory, self-enhancement theory, and uses and gratifications theory. Triangularization of these theories yields three novel archetypes in designing avatars as digital twins in the metaverse: the Accurate Double, Improved Alter Ego, and (Perfect) Stranger. Qualitative interviews with 207 digital fashion professionals provided empirical evidence that was coded under nine components of “coolness” in their self-dramatization. Self-expression (an indication of maturity) and subversiveness were the most frequently mentioned components. Surprisingly, attractiveness was not considered a primary aspiration, although the fashion industry traditionally centers on selling it. This study contributes to theory building by assigning digital fashion performers’ emotions to the process of digitizing fashion. The professionals predominantly expressed positive emotions under all three archetypes, although digitization is likely to change their line of work fundamentally or even make some of their functions obsolete. A practical implication arises from the boundless potential for reproducing fashion items in the metaverse, necessitating novel social signifiers of coolness.","url":"https://doi.org/10.1080/10447318.2025.2527844","authors":["Agnieszka Kabalska","Ralf Wagner"],"tags":["Metaverse","Computer science","Human–computer interaction","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-15","doi":"https://doi.org/10.1080/10447318.2025.2527844","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4200126083","name":"Employing the digital platform for control system development in a coal mining enterprise","source":"openalex","abstract":"Abstract The article discusses the issues related with a digital platform for distributed energy resources in the framework of mining enterprises. The paper examines the directions of sustainable development of the infrastructure of a mining enterprise, among which it is necessary to highlight the use of digital twins, taking into account the relationship of technological processes with the processes of transport of electrical energy, the development of small generation and the use of renewable energy sources. The authors proposed a two-level architecture of a coal mine control system, the implementation of which is possible with the introduction of IoT devices. It includes the EDGE layer and the Cloud / on-premise layer, which implement the corresponding functions. In the future, such a control system will make it possible to implement the concept of unmanned mining with the effective use of machine learning methods. In conclusion, it was noted that it is important to ensure the synergy of the developed platform solutions in the electric power industry and the mining industry to reduce the total costs of creating digital mining enterprises and step-by-step implementation of the Industry 4.0 concept.","url":"https://doi.org/10.1088/1755-1315/942/1/012012","authors":["Fedor Nepsha","Kirill Varnavskiy","Vyacheslav Voronin","A.Yu. Ermakov","Roman Kostomarov"],"tags":["Coal mining","Cloud computing","Control (management)","Computer science","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-01","doi":"https://doi.org/10.1088/1755-1315/942/1/012012","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416177507","name":"A Comprehensive Review of Real-Time Feeder Monitoring and Auditing Systems: Architectures, Technologies, and Analytics for the Smart Grid","source":"openalex","abstract":"Abstract: The modernization of power distribution networks into intelligent Smart Grids necessitates a paradigm shift from periodic, manual inspections to continuous, real-time feeder monitoring and auditing. Traditional systems, reliant on legacy SCADA and manual meter reading, are plagued by high Aggregate Technical and Commercial (AT&C) losses, prolonged outage durations, and a lack of granular visibility into feeder health. This review paper comprehensively synthesizes the architecture, technologies, and methodologies underpinning modern Real-Time Feeder Power Line Monitoring and Auditing Systems. We explore the integrated ecosystem of advanced sensing devices, including Smart Meters, Feeder Remote Terminal Units (FRTUs), and Phasor Measurement Units (PMUs), coupled with robust communication protocols like cellular networks and LPWAN. The core of the paper delves into the data analytics pipeline, detailing applications in state estimation, fault detection and location, power quality assessment, and, crucially, real-time energy auditing. A significant focus is placed on techniques for segregating technical losses from non-technical losses (NTLs), such as energy theft, using data-driven algorithms and machine learning. Furthermore, the paper addresses key implementation challenges, including cybersecurity, data management, and economic viability, and highlights future research directions involving Artificial Intelligence (AI), digital twins, and edge computing. The synthesis concludes that the deployment of such integrated systems is indispensable for enhancing grid resilience, optimizing operational efficiency, and achieving significant financial savings for utilities.","url":"https://doi.org/10.48175/ijarsct-29476","authors":["Vidya Jamadade","Madhubala Ghodake","Samridhi Katakdhond","Vaibhav Godase"],"tags":["SCADA","Smart grid","Computer science","Analytics","Software deployment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-13","doi":"https://doi.org/10.48175/ijarsct-29476","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4416903279","name":"Sim2Real Transfer of Imitation Learning of Motion Control for Car-like Mobile Robots Using Digital Twin Testbed","source":"openalex","abstract":"Reliable transfer of control policies from simulation to real-world robotic systems remains a central challenge in robotics, particularly for car-like mobile robots. Digital Twin (DT) technology provides a robust framework for high-fidelity replication of physical platforms and bi-directional synchronization between virtual and real environments. In this study, a DT-based testbed is developed to train and evaluate an imitation learning (IL) control framework in which a neural network policy learns to replicate the behavior of a hybrid Model Predictive Control (MPC)–Backstepping expert controller. The DT framework ensures consistent benchmarking between simulated and physical execution, supporting a structured and safe process for policy validation and deployment. Experimental analysis demonstrates that the learned policy effectively reproduces expert behavior, achieving bounded trajectory-tracking errors and stable performance across simulation and real-world tests. The results confirm that DT-enabled IL provides a viable pathway for Sim2Real transfer, accelerating controller development and deployment in autonomous mobile robotics.","url":"https://doi.org/10.3390/robotics14120180","authors":["Narges Mohaghegh","Hai Wang","Amirmehdi Yazdani"],"tags":["Testbed","Computer science","Controller (irrigation)","Software deployment","Synchronization (alternating current)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.3390/robotics14120180","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412012642","name":"Editorial: Leveraging phenotyping and crop modeling in smart agriculture","source":"openalex","abstract":"In recent years, the agricultural sector has witnessed a significant transformation driven by the integration of sensing technologies, big data analytics, and artificial intelligence (Ahmed and Shakoor, 2025). Cutting-edge innovations, notably high-throughput phenotyping and crop modeling, have fundamentally altered our understanding and management of crop systems (Keating and Thorburn, 2018;Yang et al., 2020). In many cases, phenotyping and modeling are closely intertwined: phenotyping provides accurate characterization of plant traits, forming the basis for reliable crop models, while modeling elucidates interactions among phenotypes, genotypes, and the environment, and enables prediction of phenotypic outcomes (Yu et al., 2023;Zhang et al., 2023b). Despite their natural synergy, phenotyping and modeling are still frequently treated as separate domains, limiting their full potential. This research topic aims to close that gap by promoting the development of integrated phenotyping-modeling frameworks to advance smart agriculture. The following sections provide a categorized overview of the contributions to this research topic, highlighting key findings and identifying future directions for this rapidly advancing field.Crop phenotyping, which plays a vital role in gene function analysis, plant breeding, and smart agriculture, can be broadly categorized based on the traits measured.Morphological and structural traits include leaf length, leaf width, leaf area, and leaf angle, while physiological and biological traits encompass chlorophyll content, nitrogen levels, transpiration, and photosynthetic parameters.2D imaging combined with machine vision remains the most widely adopted technique for acquiring plant morphological and structural phenotypes. In this topic, a range of studies have explored deep learning-based approaches tailored for specific plant phenotyping applications, with a particular focus on refining model architectures and technical strategies to enhance detection accuracy, computational efficiency, and adaptability to complex field conditions. Among them, semantic segmentation A region-growing algorithm was used for stem and leaf segmentation, though substantial leaf overlap during the tillering, jointing, and booting stages made the process particularly challenging. Plant height, convex hull volume, plant surface area, and crown area were extracted, enabling a detailed analysis of dynamic changes in wheat throughout its growth cycle. In recent years, ultra-low-altitude UAV-based crosscircling oblique imaging has become a more efficient and cost-effective approach for in-field 3D reconstruction (Fei et al., 2025;Sun et al., 2024). Unlike indoor multi-view imaging systems, 3D phenotyping conducted directly in the field more accurately reflects real-world agricultural conditions and population-level dynamics. and the Nitrogen Balance Index (NBI), measured by a Dualex sensor, alongside machine learning models for nitrogen status assessment. Data from 15 rice varieties under varying nitrogen rates showed chlorophyll saturation at high nitrogen levels, while Flav and NBI remained reliable. Random Forest and Extreme Gradient Boosting achieved high prediction accuracy, with SHAP analysis identifying NBI and Flav from the top two leaves as critical predictors. In recent years, these technologies have been widely applied to precision farmland management. For example, on farms in Brazil, Castilho Silva et al. (2025) used UAV-based multispectral remote sensing to monitor leaf nitrogen content in maize and applied variable-rate fertilization accordingly. Compared to conventional methods, this approach reduced nitrogen input by 6.6% to 35% without compromising yield.Phenotyping equipment is essential for the precise monitoring of plant traits and environmental growth conditions. Liu et al. developed a portable vegetation canopy reflectance (VCR) sensor for continuous operation throughout the day, featuring optical bands at 7","url":"https://doi.org/10.3389/fpls.2025.1626622","authors":["T. Sun","Liujun Xiao","Syed Tahir Ata-Ul-Karim","Yuntao Ma","W. Zhang"],"tags":["Crop","Agriculture","Agroforestry","Biology","Agronomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-03","doi":"https://doi.org/10.3389/fpls.2025.1626622","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W3124963342","name":"Industry 4.0, a revolution that requires technology and national strategies","source":"openalex","abstract":"Abstract Since 2011, when the concepts of Industry 4.0 were first announced, this industrial revolution has grown and expanded from some theoretical concepts to real-world applications. Its practicalities can be found in many fields and affect nearly all of us in so many ways. While we are adapting to new changes, adjustments are starting to reveal on national and international levels. It is becoming clear that it is not just new innovations at play, technical advancements, governmental policies and markets have never been so intertwined. Here, we generally describe the concepts of Industry 4.0, explain some new terminologies and challenges for clarity and completeness. The key of this paper is that we summarise over 14 countries’ up-to-date national strategies and plans for Industry 4.0. Some of them are bottom-up, such as Portugal, some top-down, such as Italy, a few like the United States had already been moving in this direction long before 2011. We see governments are tailoring their efforts accordingly, and industries are adapting as well as driving those changes.","url":"https://doi.org/10.1007/s40747-020-00267-9","authors":["Fengwei Yang","Sai Gu"],"tags":["CLARITY","Industrial Revolution","Industry 4.0","Key (lock)","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-27","doi":"https://doi.org/10.1007/s40747-020-00267-9","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:45.212Z"},{"id":"oa:W4411299301","name":"Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review","source":"openalex","abstract":"Background: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires self-management to improve mental and physical health outcomes and reduce risk of comorbidity. Digital technology has rapidly emerged as a valuable self-management tool for people with chronic health conditions. However, little is known about the digital technology available for and used by women with PCOS. . Objective: The purpose of this scoping review was to identify what is known about digital technology currently available and used by women with PCOS for PCOS-specific knowledge, self-management, or social support. Methods: The databases PubMed, Embase, CINAHL, and Compendex were searched using Medical Subject Headings terms for PCOS, digital technology, health knowledge, self-management, and social support. Inclusion criteria were full-text, peer-reviewed publications of primary research from 2010 to 2025 in English about digital technology used for PCOS-specific knowledge, self-management, or social support by women aged 18 years and older with PCOS. Exclusion criteria were articles about pediatric populations and digital technology used for intervention recruitment or by health care providers to diagnose or treat patients. Results: In total, 34 full-text articles met the inclusion criteria. Given the scope of digital technology, eligible studies were grouped into 7 domains: mobile apps (n=14), internet-based programs (eg, Google; n=6), social media (n=6), SMS text message (n=2), machine learning (n=2), artificial intelligence (eg, ChatGPT [OpenAI]; n=3), and web-based intervention platforms (n=1). Findings highlighted participants' varied perceptions of technology usefulness based on reliability of health care information, application features, accuracy of PCOS or fertility prediction, social group engagement, user-friendly interfaces, cultural sensitivity, and accessibility. Conclusions: There is potential for digital technology to transform PCOS self-management, but further design and development are needed to optimize the technologies for women with PCOS. Future research should focus on including end users during the design phase of digital technology, refining predictive models, improving app inclusivity, conducting frequent reliability testing, and enhancing user engagement and support via additional features to promote more comprehensive self-management of PCOS. .","url":"https://doi.org/10.2196/68469","authors":["Pamela J. Wright","Charlotte Burts","Carolyn S. Harmon","Cynthia F. Corbett"],"tags":["CINAHL","Polycystic ovary","Social media","Medicine","mHealth"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-12","doi":"https://doi.org/10.2196/68469","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4409289543","name":"STEP-NC in additive manufacturing: a comprehensive review, architecture, and data model proposal","source":"openalex","abstract":"Abstract In modern manufacturing, Digital Thread and Digital Twin technologies integrate and orchestrate data throughout the production lifecycle. To fully realize their potential, it is crucial to address challenges in data integration, management, and interoperability while enhancing system intelligence and contextual awareness. STEP-NC (STandard for the Exchange of Product model data - Numerical Control) emerges as a potential solution, enriching these digital systems with contextual information about products, processes, and machines. While STEP-NC has been extensively studied in machining, its application in Additive Manufacturing (AM) is still emerging. The current reliance on legacy formats like STL and G-code fails to meet the industry’s advancing needs. This work offers a comprehensive review of the current state of STEP-NC development for AM, highlighting a growing interest in its application, despite limited publications and advancements. To bridge these gaps, we propose STEP-NC entity definitions for managing data related to process parameters and operations in Fused Deposition Modeling (FDM) and Laser Metal Deposition (LMD) technologies. STEP-NC facilitates refined data management at the individual layer level, encompassing geometry, process parameters, material properties, and other key aspects. Additionally, we introduce a cyber-physical architecture for STEP-NC in manufacturing, aligned with the ISO 23247 framework. This architecture envisions a robust digital ecosystem driven by standards-based Digital Thread and Digital Twin technologies, with STEP and STEP-NC at its core, supported by essential open standards such as QIF, MTConnect, OPC-UA, and MQTT. By integrating contextual information, it enhances Digital Twin development for virtual monitoring, optimization, knowledge generation, and informed decision-making in manufacturing environments.","url":"https://doi.org/10.1007/s00170-025-15290-8","authors":["Efrain Rodriguez","Alberto J. Álvares","Cristhian Riaño"],"tags":["Industrial and production engineering","Architecture","Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"https://doi.org/10.1007/s00170-025-15290-8","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7167908671","name":"Digital Twin in Heritage Buildings: A Comparative Literature Review of Integrated Technologies, Devices, and Applications (2020–2025)","source":"openalex","abstract":"Abstract. The concept of Digital Twin has attracted growing interest within research communities in recent years, including heritage conservation. It combines detailed geometric documentation, real-time monitoring, and semantic information to create dynamic digital replicas of historic buildings. This paper presents the results of a scoping review of 204 peer-reviewed studies published between 2020 and 2025. The aim is to identify the main technologies, devices, and methods used to develop a Digital Twin for heritage buildings. The review reveals that terrestrial laser scanning, UAV photogrammetry, BIM, and IoT sensor networks form the core technological base. It also highlights the growing use of artificial intelligence for automated defect detection, predictive maintenance, and semantic processing. Based on the reviewed literature, the paper introduces a six-stage workflow for building a heritage Digital Twin, covering baseline documentation, static reality capture, semantic modelling, sensor integration, data fusion, and operational use. The findings show a clear shift from static 3D documentation toward dynamic, data-rich systems that support continuous monitoring and more informed decision-making. However, the review also identifies major challenges, including limited interoperability, complex data integration, incomplete AI validation, and long-term digital preservation issues. Overall, the study outlines the current state of Digital Twin technologies in architectural heritage and identifies key areas that require further research to support reliable and sustainable applications.","url":"https://doi.org/10.5194/isprs-annals-xi-4-2026-435-2026","authors":["Rana Tootoonchi","Mona Hess"],"tags":["Workflow","Data science","Computer science","Cultural heritage","Documentation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"https://doi.org/10.5194/isprs-annals-xi-4-2026-435-2026","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4407028937","name":"Digital transformation in the construction industry: Analysing the impact of technological changes on construction processes","source":"openalex","abstract":"The relevance of the problem under study lies in the rapid development of digital technologies, which provide unique opportunities for optimising and improving the efficiency of construction production. The purpose of the study is to analyse the impact of digital changes on the technology and organisation of construction activities in Ukraine. The methods of literature review, experimentation, and abduction were used. The study determined which digital technologies, such as BIM, IoT, and AI, are most important to construction organisations. A framework of efficiency-boosting tactics, including personnel training, process optimisation, and technology integration, was created. To visualise data on digital priorities and initiatives, an application was developed. The study emphasised the significance of all-encompassing digital transformation plans and the demand for ongoing innovation in the building sector.","url":"https://doi.org/10.18537/est.v014.n027.a16","authors":["Olena Emelianova","Viktoriya Tytok","Kateryna Lavrukhina","Inna Shatrova","Olena Demydova"],"tags":["Digital transformation","Relevance (law)","Process (computing)","Boosting (machine learning)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-31","doi":"https://doi.org/10.18537/est.v014.n027.a16","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4385508702","name":"Semantic Model‐based Systems Engineering based on KARMA: A Research and Practice Roadmap 2025","source":"openalex","abstract":"Abstract Model‐based Systems Engineering is proposed as a graphical approach to support for‐malization of system artifacts across system lifecycle based on models since 1993. The previous motivation of graphical specification is to provide a unified graphical description on the perspective of systems engineering in order to formalize system architectural views, to promote communications among stakeholders and to support system analysis and verification. However, when different modeling tools are developed based on such graphical specifications, model and data interoperability across modeling tools is the biggest challenge faced by the tool venders and MBSE practitioners. Thus, semantic specification is proposed again to enhance data interoperability, such as SysML 2.0 as a possible solution. In this paper, we propose a new semantic MBSE language and framework aiming to support complex system development using a semantic two‐core mechanism: 1) KARMA language and 2) Industrial Ontologies Foundry (IOF) SE and MBSE ontology. Then, we introduce the KARMA Roadmap 2025 including technical vision, organizational views and standardization. A new KARMA open‐source modeling environment is planned to being created in order to provide MBSE application for more industrial practitioners.","url":"https://doi.org/10.1002/iis2.12959","authors":["Jinzhi Lu","Guoxin Wang","Yan Yan","David Cameron","Lei Feng","Yangyang Zhang","Xijin Tang","Jian Wang","Junjie Tang","Jian Tang","Huisheng Zhang","Michel Reniers","Martin Törngren","Junda Ma","Yves Keraron","Shouxuan Wu","Dimitris Kiritsis"],"tags":["Computer science","Systems Modeling Language","Ontology","Interoperability","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-01","doi":"https://doi.org/10.1002/iis2.12959","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4405471365","name":"Digital supply chain: An industrial perspective","source":"openalex","abstract":"Abstract This perspectives article outlines and discusses the future of supply chains. The existing challenges and flaws in supply chains design and management are described, motivating the need for the next‐generation supply chains. We present a holistic paradigm for viewing and analyzing supply chains as networks of networks with various dimensions, hierarchies, and players with their various forms of decision‐making. Cyber‐Physical Systems is offered as a key enabler to obtain a digital supply chain exhibiting the features of heterogeneity, interoperability, modularity, customizability, decentralization, autonomy, and cooperativity. The role of virtual assistants is described, along with research directions to create the technology for establishing true digital supply chains. The role of Process Systems Engineering (PSE) is outlined with the hope that the ideas discussed will motivate the PSE community to become active participants in attaining the next‐generation supply chains.","url":"https://doi.org/10.1002/aic.18688","authors":["John M. Wassick","Héctor D. Pérez"],"tags":["Perspective (graphical)","Supply chain","Chain (unit)","Business","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-17","doi":"https://doi.org/10.1002/aic.18688","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412556375","name":"Digital Innovation for the Documentation, Management, and Fruition of Cultural Heritage","source":"openalex","abstract":"Recent years have been characterised by a profound transformation in the field of Cultural Heritage (CH), shaped by interdisciplinary methodologies, digital innovation and the demand for more inclusive, sustainable management approaches [...]","url":"https://doi.org/10.3390/heritage8080292","authors":["M. La Guardia","Mila Koeva","Mauro Lo Brutto"],"tags":["Documentation","Cultural heritage","Business","Knowledge management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-22","doi":"https://doi.org/10.3390/heritage8080292","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7162779147","name":"Data Integrity Failures in Pharmaceutical Digital Twins and Continuous Manufacturing: An Alcoa + + Framework Integrating Human Factors and Simulation Vulnerabilities","source":"openalex","abstract":"Background Digital twin technologies have the potential to enhance real-time operations and predictive quality control in pharmaceutical manufacturing, but data integrity safeguards have yet to be matured with a focus on human and simulation vulnerabilities. Objective This review is based on real-world data integrity failures in digital twin assisted continuous manufacturing, with ALCOA + + principles combined with human factors and simulation risks. Methods The incidents associated with digital twins, PAT, and continuous manufacturing were identified using a PRISMA-ScR approach to reviewing the PubMed, Scopus, Web of Science and regulatory databases (FDA 483s, EMA inspections, 2020–2026). From a failure classification perspective, an ALCOA + + and an adapted version of the HFACS were used. Results Of the 248 incidents, 65% were non-contemporaneous data, 22% were non-traceable simulation inputs and 13% were non-enduring virtual records from cloud synchronization failures. Discussion The simulated failure rates were reduced by 68% with a Digital Twin Compliance Framework which integrates human-centered design, GAMP 5.2 risk assessment, hybrid audit trails and AI-based anomaly detection. Conclusion This review presents the first unified taxonomy for digital twins failures in continuous manufacturing (ALCOA++) and identifies the need for robust virtual data governance and further validation in a decentralized manufacturing network of the future.","url":"https://doi.org/10.1007/s12247-026-10778-6","authors":["P Ramprasath","Mohan Gandhi Bonthu"],"tags":["Computer science","Data integrity","Audit","Reliability engineering","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-29","doi":"https://doi.org/10.1007/s12247-026-10778-6","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4415322973","name":"Automated Adaptation of Digital Twins for Production Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews","source":"openalex","abstract":"The design of new production lines is a costly process, considering multiple variants must be compared.Simulations are indispensable to evaluate different production concepts.However, they require detailed models.A digital twin, which can be used not only in the design phase but also in operation, offers potential here.The creation of such a twin is often complex, as it requires a complex modelling phase.This paper presents a framework to automate the creation of digital twins for production line design by adapting existing models through Large Language Model-guided expert interactions.New production lines often are similar to existing ones, for which digital twins can be generated by process mining.The adaptation of these models is then carried out by a domain expert using a Large Language Model that allows to make changes to the digital twin without greater modelling knowledge.The framework is evaluated using a case study from the \"IoT-Factory\" at our university.The results show that it is suitable for reducing the effort needed to create digital twins for production line design by adapting existing models.","url":"https://doi.org/10.25368/2025.247","authors":["Lennart Schipper","Christian Schwede"],"tags":["Computer science","Adaptation (eye)","Production (economics)","Expert system","Production line"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.25368/2025.247","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411565675","name":"Strategic and sustainable human resource management: Twin weapon for achieving competitive advantage in organization","source":"openalex","abstract":"This perspective explores the integration of strategic human resource management (strategic HRM) and sustainable human resource management (sustainable HRM) as a dual strategy for organizational competitive advantage. Strategic HRM focuses on aligning HR policies with business goals to maximize employee engagement, innovation, and productivity, thereby enhancing organizational performance. Key strategic HRM practices include performance management, talent development, and fostering a cohesive company culture that values inclusivity and adaptability. However, strategic HRM’s strategic focus often prioritizes immediate organizational needs over long-term societal concerns. In contrast, sustainable HRM emphasizes a broader, long-term perspective, addressing economic, social, and environmental impacts. This approach integrates multi-stakeholder engagement, ethical practices, and a commitment to societal well-being, thus ensuring the organization’s resilience and sustainability. The research highlights the evolving nature of HRM, noting that the contemporary business landscape requires organizations to balance financial success with social responsibility and environmental stewardship. The findings underscore the complementary nature of strategic HRM and sustainable HRM. While strategic HRM drives performance and competitive advantage, sustainable HRM ensures ethical governance and societal impact. Implementing both approaches enhances organizational adaptability, employee satisfaction, and long-term success. This paper concludes with strategic recommendations for HR leaders, emphasizing the need for strategic alignment, stakeholder engagement, and flexible HR practices that promote both organizational excellence and sustainability.","url":"https://doi.org/10.55942/pssj.v5i6.401","authors":["William Ben Gunawan","L Tsurcan Mikhail"],"tags":["Competitive advantage","Business","Industrial organization","Human resource management","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-23","doi":"https://doi.org/10.55942/pssj.v5i6.401","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4409802747","name":"Digital Innovations in Orthognathic Surgery: A Systematic Review of Virtual Surgical Planning, Digital Transfer, and Conventional Model Surgery","source":"openalex","abstract":"OBJECTIVES: Orthognathic surgery has evolved due to the use of virtual surgical planning (VSP) and digital model surgery, which are technological advancements replacing conventional approaches with accurate personalised digital models made from computed tomography (CT) or magnetic resonance imaging (MRI) scans. Their integration has enhanced surgical efficiency, patient satisfaction and communication among surgeons and patients, while some challenges such as cybersecurity issues and the requirement for information technology backup have also been noted in hospitals. MATERIALS AND METHODS: From January 2013 to October 2024, this systematic review aimed at orthognathic surgery virtual planning; it was carried out on the basis of a digital library with 437 works from PubMed, Embase, Cochrane, Web of Science and Scopus searched through an initial selection of specific keywords. The final step is filtering out irrelevant studies through scrutiny, resulting in 25 original interventional studies that met inclusion criteria for quality control purposes via bias analysis. RESULTS: In relation to the future of orthognathic surgery, it can be advanced by improving VSP, digital transfer techniques and conventional model surgery with technical innovations that need to meet the challenges. The integration of Artificial Intelligence (AI) into VSP can be an opportunity for its development in the sphere of accuracy and visualisation during surgery with augmented reality (AR) utilisation. Among them are the real-time data integration offered by digital transfer techniques, but they are hindered in cost and standardisation. On the other hand, conventional model surgery may revolutionise with three-dimensional (3D) printing; however, there is a long way to go for conventional model surgery to address time constraints as well as ecological concerns. Compatibility issues, training needs and ethical considerations represent three major obstacles that must be tackled successfully so that surgery will have a bright future. CONCLUSION: Case complexity and patient preferences are important factors that should be considered before making a decision about orthognathic surgery. VSP offers precision for complicated cases. Real-time guidance can be achieved using digital transfer techniques, whereas traditional model surgery provides a tactile, hands-on experience. Analysing digital innovations jointly will enhance orthognathic patient care and education while improving patient safety.","url":"https://doi.org/10.1111/ocr.12934","authors":["Sepehr Kobravi","Aida Jafari","Mohammadhassan Lotfalizadeh","Abolfazl Azimi"],"tags":["Orthognathic surgery","Surgical planning","Medical physics","Medicine","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-25","doi":"https://doi.org/10.1111/ocr.12934","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414080072","name":"Digital Development: Reimagining Research Beyond ICT4D","source":"openalex","abstract":"This editorial introduces a conceptual framework that reimagines research on Information and Communication Technologies for Development (ICT4D) as “digital development,” recognizing the inseparable intertwining of digital and development trajectories. This framing is aimed at the broader information systems (IS) research community, which includes ICT4D researchers, based both in the Global South and the Global North. Digital development encompasses three dimensions: digital in development (institutional use), digital for development (conscious design for outcomes), and development in a digital world (digital entanglement in development practice.). We argue that this reimagination is necessary for three reasons. First, digital technologies are becoming increasingly entangled with many development initiatives, implying the need to be studied as a duality, not a dualism. Second, we are witnessing the rising complexity of contemporary and emergent development challenges, which are not just limited to the Global South, but to the world at large. Third, the IS and ICT4D research fields have long worked in relative isolation from each other, but they need to synergistically create new theories and methods to address the rising complexities inherent in the “digital” and “development.” We provide a brief overview of the existing ICT4D field to identify critical areas for reconceptualization and expansion. This is then illustrated by examples from four empirical domains, namely humanitarian governance, global health, financial inclusion, and digital nomadism, which are representative of contemporary and emerging digital development challenges. This leads to the development of theoretical, policy and practice, and methodological implications, which provide a basis to formulate a research agenda for digital development.","url":"https://doi.org/10.1287/isre.2025.editorial.v36.n3","authors":["Sundeep Sahay","Shirish C. Srivastava","Michael Barrett","Robert M. Davison","Shirin Madon","Daniel Schlagwein","Irwin Brown","Suprateek Sarker"],"tags":["Framing (construction)","Digital divide","Computer science","Digital media","Information and Communications Technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-01","doi":"https://doi.org/10.1287/isre.2025.editorial.v36.n3","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7134956925","name":"Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation","source":"openalex","abstract":"Organ-on-a-chip (OoC) technologies, also termed microphysiological systems (MPSs), integrate microfluidics, engineered biomaterials, human-derived cells, and on-chip biosensing to model human physiology in microscale devices that deliver quantitative, time-resolved readouts. This review surveys the 2010-2025 literature, emphasizing how sensing, standardized sampling, and analytics enable clinical concordance and fit-for-purpose regulatory use. We synthesize advances in (i) materials, fabrication, and microfluidic design; (ii) organ- and disease-focused case studies; and (iii) translational benchmarks that align chip outputs with clinical pharmacokinetics, toxicology, and biomarker datasets. Across organ systems, platforms increasingly incorporate vascularization, immune components, and organoid hybrids, paired with real-time measurements of barrier integrity, metabolism, electrophysiology, and secreted biomarkers using impedance (TEER), electrochemical, and optical modalities. Representative benchmarking studies report cardiac OoCs achieving AUROC ≥ 0.85 for torsadogenic risk classification, and renal chips improving prediction of transporter-mediated clearance relative to conventional in vitro assays. We summarize validation approaches and regulatory developments relevant to new approach methodologies, including the FDA Modernization Act 2.0, and discuss how AI and multi-omics can automate signal and image analysis, harmonize cross-platform datasets, and support digital-twin workflows that couple OoC measurements to in silico models. Overall, biosensor-enabled OoCs are progressing toward quantitatively benchmarked platforms for safety pharmacology, ADME/PK-PD, and precision medicine.","url":"https://doi.org/10.3390/bios16030155","authors":["Nilanjan Roy","Luca Cucullo"],"tags":["Computer science","Drug development","Workflow","Benchmarking","Organ-on-a-chip"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-11","doi":"https://doi.org/10.3390/bios16030155","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415792992","name":"Advancing Cardio-Obstetric Care Through Digital Health Technologies: A Narrative Review","source":"openalex","abstract":"Cardiovascular disease is a leading cause of maternal morbidity and mortality. As cardio-obstetric care evolves, digital health technologies including telehealth, wearable devices and remote monitoring are playing an increasingly critical role. These innovations have the potential to enhance cardiovascular screening, risk assessment and disease management across the perinatal continuum. This article explores the role of digital health technologies in advancing cardio-obstetrics care. It focuses on the impact of telehealth, wearable sensors and emerging digital tools on improving maternal cardiovascular outcomes and reducing disparities in care delivery. A narrative review approach was used to synthesize existing literature and clinical insights related to telecardiology, wearable monitoring and digital innovations. Emphasis was placed on applications in pregnancy and post-partum care, as well as on evaluating implementation challenges and equity concerns. Digital health tools improve access to care and facilitate early diagnosis of cardiovascular conditions. Telehealth increases care continuity and patient satisfaction, especially in underserved populations. Wearable devices equipped with photoplethysmography and electrocardiogram sensors enable intermittent, non-invasive monitoring, aiding early detection of arrhythmias and hypertensive disorders. Furthermore, novel technologies such as digital twins, natural language processing and virtual reality show potential to personalize care and support medical education. Despite these advancements, key barriers persist, including data privacy concerns, unequal access to technology and algorithmic bias. Digital health technologies are transforming cardio-obstetrics care by enabling proactive management and expanding access. However, for these tools to deliver equitable benefits, targeted efforts are needed to address privacy, infrastructure and literacy challenges. Future efforts should focus on integrating digital health into routine maternal care, promoting digital literacy, ensuring equitable technology access and improving interoperability with electronic health records. Additionally, ongoing evaluation through clinical trials in high-risk pregnancies and ethical safeguards to mitigate algorithmic bias will be essential to ensure safe, scalable and inclusive implementation of these innovations in maternal cardiovascular care.","url":"https://doi.org/10.1002/ehf2.15426","authors":["Toluwalase Awoyemi","Oluwaremilekun Tolu-Akinnawo","Arun Mahtani","Inderbir Padda","Kayode Ogunniyi","Ikeoluwapo Kendra Bolakale‐Rufai","Abiola Olusanya","Oluwaseun Adeleke","Chituru Believe Amarachi","Olumide Akinmoju","Christabel Uche-Orji","Mina Fattah"],"tags":["Digital health","Telehealth","Wearable computer","Health care","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-03","doi":"https://doi.org/10.1002/ehf2.15426","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412602460","name":"The Impact of Rural Digital Economy Development on Agricultural Carbon Emission Efficiency: A Study of the N-Shaped Relationship","source":"openalex","abstract":"This study investigates the impact of rural digital economy development on agricultural carbon emission efficiency, aiming to elucidate the intrinsic mechanisms and pathways through which digital technology enables low-carbon transformation in agriculture, thereby contributing to the achievement of agricultural carbon neutrality goals. Based on provincial-level panel data from China spanning 2011 to 2022, this study examines the relationship between the rural digital economy and agricultural carbon emission efficiency, along with its underlying mechanisms, using bidirectional fixed effects models, mediation effect analysis, and Spatial Durbin Models. The results indicate the following: (1) A significant N-shaped-curve relationship exists between rural digital economy development and agricultural carbon emission efficiency. Specifically, agricultural carbon emission efficiency exhibits a three-phase trajectory of “increase, decrease, and renewed increase” as the rural digital economy advances, ultimately driving a sustained improvement in efficiency. (2) Industrial integration acts as a critical mediating mechanism. Rural digital economy development accelerates the formation of the N-shaped curve by promoting the integration between agriculture and other sectors. (3) Spatial spillover effects significantly influence agricultural carbon emission efficiency. Due to geographical proximity, regional diffusion, learning, and demonstration effects, local agricultural carbon emission efficiency fluctuates with changes in neighboring regions’ digital economy development levels. (4) The relationship between rural digital economy development and agricultural carbon emission efficiency exhibits a significant inverted N-shaped pattern in regions with higher marketization levels, planting-dominated areas of southeast China, and digital economy demonstration zones. Further analysis reveals that within rural digital economy development, production digitalization and circulation digitalization demonstrate a more pronounced inverted N-shaped relationship with agricultural carbon emission efficiency. This study proposes strategic recommendations to maximize the positive impact of the rural digital economy on agricultural carbon emission efficiency, unlock its spatially differentiated contribution potential, identify and leverage inflection points of the N-shaped relationship between digital economy development and emission efficiency, and implement tailored policy portfolios—ultimately facilitating agriculture’s green and low-carbon transition.","url":"https://doi.org/10.3390/agriculture15151583","authors":["Yong Feng","Shuokai Wang","Fangping Cao"],"tags":["Agriculture","Carbon fibers","Rural economy","Agricultural economics","Low-carbon economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-23","doi":"https://doi.org/10.3390/agriculture15151583","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4404016522","name":"Enhancing Business Competitiveness through Accounting Digitalization","source":"openalex","abstract":"Introduction: Amid rapid changes in the external and internal environment of modern business, more and more companies are turning to the introduction of the latest digital technologies to improve their accounting systems. This helps to increase the efficiency and accuracy of processes, as well as reduce the cost of routine work. However, the use of modern digital tools in accounting also involves certain risks and limitations, as well as raises questions about the ability to use the data for further management decision-making. Given the proven relevance of the topic, the purpose of the study can be defined as identifying key digital tools for the development and improvement of accounting to ensure the competitiveness of modern business in the long term. Methods: To obtain the results, the author used general scientific methods of analysis, synthesis, systematisation, processing of statistical material, generalisation and specification, as well as a specific method of hierarchy analysis, which allowed to identify the most optimal areas of accounting optimisation for a modern enterprise. Results: The study identified the main digital tools that can be used in the field of accounting and their impact on the system of accounting procedures in the company. The possibilities of applying various digital tools were identified and it was found that they are necessary to increase competitiveness in the long term. Conclusions: By applying the hierarchy analysis method, it is determined that the most promising for the development of the accounting system may be the tools for processing big data and using digital twins.","url":"https://doi.org/10.56294/sctconf2025693","authors":["Світлана Стендер","Олена Адамівна Лаговська","Nataliia B. Roshko","Andrii Soloshchak","Olesia Lemishovska"],"tags":["Business","Accounting","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-03","doi":"https://doi.org/10.56294/sctconf2025693","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415030178","name":"From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent","source":"openalex","abstract":"Manus AI is a general-purpose AI agent introduced in early 2025, marking a significant advancement in autonomous artificial intelligence. Developed by the Chinese startup Monica.im, Manus is designed to bridge the gap between \"mind\" and \"hand\" - combining the reasoning and planning capabilities of large language models with the ability to execute complex, end-to-end tasks that produce tangible outcomes. This paper presents a comprehensive overview of Manus AI, exploring its core technical architecture, diverse applications across sectors such as healthcare, finance, manufacturing, robotics, and gaming, as well as its key strengths, current limitations, and future potential. Positioned as a preview of what lies ahead, Manus AI represents a shift toward intelligent agents that can translate high-level intentions into real-world actions, heralding a new era of human-AI collaboration.","url":"https://doi.org/10.48550/arxiv.2505.02024","authors":["Minjie Shen","Yanshu Li","Lulu Chen","Fan, Zhichao","Li, Yanhang","Yang, Qikai","Yang, Haochen"],"tags":["Manus","Computer science","Key (lock)","Bridge (graph theory)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-04","doi":"https://doi.org/10.48550/arxiv.2505.02024","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7123706991","name":"Innovative Cyber-Physical/Electronic AI-Assisted Digital Twin Model of Small Energy Harvesting Cantilever Power Generators","source":"openalex","abstract":"The paper deals with the design of a Digital Twin model of an energy harvesting cantilever beam for low frequency energy harvesting applications and specifically with a digital model matching simulations corresponding with Finite Element Method solutions in order to validate the model. The physical behavior is based on the main parameters to be investigated. The finite elements analysis is geometrically and parametrically carried out for a small PZT5A device of the orders of millimeters and is optimized to take into consideration the relationships between tip displacement, generated voltages and vibration gravitational forces for standard industrial applications in the acceleration range between 0.5 and 2 g. Then a procedure to integrate the Digital Twin into a design framework has been developed, including an artificial intelligence algorithm that supports the modelling of the real behavior of the device. The paper is devoted to help researchers involved in a Digital Twin adoption in the field of electronic design and of the physical characterization of low frequency energy harvesting devices exclusively using open-source tools.","url":"https://doi.org/10.3390/en19020390","authors":["Alessandro Massaro","Giuseppe Fanizza","Giuseppe Starace"],"tags":["Energy harvesting","Finite element method","Cantilever","Vibration","Voltage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3390/en19020390","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"oa:W4410951482","name":"Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System","source":"openalex","abstract":"This study proposes a robust methodology for vibration suppression and trajectory tracking in rotary flexible-link systems by leveraging guided reinforcement learning (GRL). The approach integrates the twin delayed deep deterministic policy gradient (TD3) algorithm with a linear quadratic regulator (LQR) acting as a guiding controller during training. Flexible-link mechanisms common in advanced robotics and aerospace systems exhibit oscillatory behavior that complicates precise control. To address this, the system is first identified using experimental input-output data from a Quanser® virtual plant, generating an accurate state-space representation suitable for simulation-based policy learning. The hybrid control strategy enhances sample efficiency and accelerates convergence by incorporating LQR-generated trajectories during TD3 training. Internally, the TD3 agent benefits from architectural features such as twin critics, delayed policy updates, and target action smoothing, which collectively improve learning stability and reduce overestimation bias. Comparative results show that the guided TD3 controller achieves superior performance in terms of vibration damping, transient response, and robustness, when compared to conventional LQR, fuzzy logic, neural networks, and GA-LQR approaches. Although the controller was validated using a high-fidelity digital twin, it has not yet been deployed on the physical plant. Future work will focus on real-time implementation and structural robustness testing under parameter uncertainty. Overall, this research demonstrates that guided reinforcement learning can yield stable and interpretable policies that comply with classical control criteria, offering a scalable and generalizable framework for intelligent control of flexible mechanical systems.","url":"https://doi.org/10.3390/robotics14060076","authors":["Carlos Alberto Saldaña Enderica","J.R. Llata","Carlos Torre‐Ferrero"],"tags":["Reinforcement learning","Control theory (sociology)","Linear-quadratic regulator","Computer science","Robustness (evolution)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-31","doi":"https://doi.org/10.3390/robotics14060076","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414139457","name":"Digital Transformation of Cultural Heritage: Prospects and Threats","source":"openalex","abstract":"The research investigates the impact of digital transformation on culture, particularly cultural heritage, by examining how preservation, representation, and access are evolving in the context of global and Ukrainian-European digitalization. It aims to analyze how digital technologies reshape heritage practices, highlight the challenges they pose, and propose possible solutions. An assessment of prominent initiatives — such as Europeana, Euromuseum, Twin it! World Digital Library, Doctoral Program in Cultural Heritage, Ark, Museum of Stolen Art, and ResearchUA — illustrates that digital tools not only broaden access to cultural resources but also foster new forms of public participation, multicultural exchange, and collaborative digital creation. In this regard, the Internet emerges as a multifunctional space that serves as a technology, a platform for unity, a channel of communication, and a means of cooperation. Of particular significance is the Museum of Stolen Art project launched in Ukraine in 2023, which stands as a unique model of digital innovation in heritage preservation. Nevertheless, the study identifies pressing challenges accompanying digitalization, including fragmented platforms, unstable formats, unequal access, legal and ethical uncertainties, and funding constraints. Addressing these issues requires understanding digitalization not merely as a technological process but as a socio-cultural phenomenon that fundamentally reshapes cultural memory, identity, and institutional responsibility. The findings of this research thus provide practical value for designing effective strategies, educational initiatives, and institutional practices to advance the preservation, accessibility, and sustainability of cultural heritage in the digital era.","url":"https://doi.org/10.63931/ijchr.v7isi1.381","authors":["Roman Melnyk","Galyna Volkova","Mariia Hvozdetska","Oleksii Bashmanivskyi","Iryna Perederii"],"tags":["Cultural heritage","Digital transformation","Context (archaeology)","Public relations","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-11","doi":"https://doi.org/10.63931/ijchr.v7isi1.381","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414182456","name":"Climate-Resilient Urban Energy: Integrating Governance, Finance, Digital Twins, Circular Water–Energy, and Nature-Based Solution","source":"openalex","abstract":"Purpose: Show how governance, finance, digital twin (DT)/AI analytics, circular water–energy, nature-based solutions (NbS), and equity can jointly drive low‑carbon, resilient, just urban energy transitions in emerging regions. Methodology: PRISMA review (2014–Q1 2024) screened 500, retained 80 studies/policy records. Dual coding (kappa >0.78). Meta‑ranges kept metrics with ≥3 consistent studies. Thematic triangulation mapped enablers, barriers, and gaps across Nigeria, Sub-Saharan Africa, and Southeast Asia to generate contextual performance and sequencing insights. Findings: Efficiency, combined with distributed renewables and demand response, cuts emissions by 18–42%. DT/predictive analytics reduce district energy intensity by 5–12% and O&M by 10–25%. Circular measures lower utility energy intensity 8–22% and offset 20–40% potable demand. NbS cut peak runoff 20–55%, inundation depth 10–25%, heat island 0.5–2.5°C. Equity actions reduced the energy burden by 5–18% and prioritized flood exposure by 20–40%. Enablers: polycentric coordination, interoperable data, blended finance, standardized metrics, ethical AI, just transition framing. Unique Contribution to Theory, Practice and Policy: Meta-range synthesis clarifies performance bands linking technical gains with resilience and equity outcomes. Regional DT/AI maturity and circular leverage points inform sequencing in Nigeria, Sub-Saharan Africa, Southeast Asia, underscoring the need for synchronized data governance and integration. Adopt interoperable data and AI charters; expand blended, performance‑linked finance tied to resilience and equity KPIs; incentivize leak analytics, modular digestion, reclaimed cooling; mandate equity and anti‑displacement audits; build DT validation capacity; apply equity‑adjusted valuation.","url":"https://doi.org/10.47604/ijes.3506","authors":["Kingsley Erifeta"],"tags":["Interoperability","Equity (law)","Flood myth","Environmental economics","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-15","doi":"https://doi.org/10.47604/ijes.3506","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7138866461","name":"A Physics-Stabilized Self-Updating Digital Twin Framework Using Physics-Informed Neural Networks for Thermal Field Prediction","source":"openalex","abstract":"Abstract Digital twins increasingly rely on autonomous self-updating mechanisms to remain synchronized with physical systems; however, repeated self-updating can lead to error accumulation, numerical instability, and progressive loss of physical consistency when models iteratively learn from their own predictions. To address this challenge, the study proposes a physics-stabilized self-updating digital twin framework based on Physics-Informed Neural Networks (PINNs) and demonstrates its core principles on a canonical thermal field prediction problem. The framework integrates adaptive physics-loss weighting, a physics-only stabilization stage, and second-derivative smoothness regularization within the self-updating loop, enabling controlled data assimilation while explicitly enforcing governing equation constraints. Numerical results show a monotonic reduction in root mean square error (RMSE) from approximately 1 × 10 −3 in the first update cycle to 8 × 10 −5 after four update cycles, accompanied by effective suppression of model drift and a substantial reduction in partial differential equation (PDE) residuals compared to a naïve self-updating strategy. Furthermore, the analysis reveals the existence of an update saturation point, beyond which additional autonomous updates yield diminishing accuracy improvements, providing a physically motivated stopping criterion for autonomous updating. By establishing a stable and physically interpretable self-updating architecture, the study provides a foundational framework for the development of reliable digital twins, with clear potential for extension to more complex thermal and Multiphysics systems.","url":"https://doi.org/10.2478/acss-2026-0003","authors":["Aswin Karkadakattil"],"tags":["Computer science","Reduction (mathematics)","Artificial neural network","Redundancy (engineering)","Regularization (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.2478/acss-2026-0003","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4413961395","name":"Exploring electric vehicle consumer behavior: impact of digital innovation, environmental concern, perceived value, and social influence on purchase intentions","source":"openalex","abstract":"Background Understanding the drivers and boundary conditions of electric vehicle (EV) adoption is critical to fostering sustainable transportation. Building on perceived value and planned behavior theories, this study proposes a moderated mediation model in which perceived value influences both sustainability perception and purchase intentions, with household income, technology trust, and environmental knowledge serving as moderators. Methods A cross-sectional survey of 496 licensed drivers familiar with EVs was conducted using validated multi-item scales. Data were analyzed in R using confirmatory factor analysis and structural equation modeling (lavaan), incorporating product-indicator interactions and 5,000-sample bootstrapping to test the direct, moderating, and mediating effects. Results Consumers’ perceived value has a positive effect on sustainability perception (0.122, p < 0.001) and purchase intentions (0.002, p < 0.001). Household income also strengthens the relationship between perceived value and purchase intention (0.043, p < 0.001). Digital innovation (0.285, p < 0.001) and environmental concerns (0.411, p < 0.001) dynamically influenced the perception of sustainability at a significant level, although social influence was not significant. Compared with other variables, sustainability perception had the greatest effect on consumers’ intention to buy an electric car (0.624, p < 0.001) and served as a mediator in three out of four indirect connections between perceived value and purchase intention. The moderating effects of technology trust and environmental knowledge were not supported. Conclusion These findings highlight the central roles of value and sustainability perceptions in EV adoption and identify income as a key boundary condition. Practical implications include tailoring incentives by income segment, investing in user-centric digital platforms, and emphasizing both economic and environmental benefits. Theoretically, this study extends technology acceptance models by integrating sustainability constructs and underscores the nuanced impact of socioeconomic factors on green consumer behavior.","url":"https://doi.org/10.3389/frsc.2025.1655074","authors":["Sri Yogi Kottala","Shankar Chanagala","C. Balaji","Vijeth Venkataram Reddy","G. N. P. V. Babu"],"tags":["Value (mathematics)","Business","Marketing","Consumer behaviour","Advertising"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-03","doi":"https://doi.org/10.3389/frsc.2025.1655074","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4414452310","name":"Impact of Point Density Variation in Aerial Photogrammetric Point Clouds on Feature Extraction for the development of Cultural Heritage Digital Twin","source":"openalex","abstract":"Abstract. The development of Digital Twins for cultural heritage applications depends highly on accurate and detailed 3D representations of historical structures. Aerial photogrammetry has emerged as a popular remote sensing technique for capturing such Cultural Heritage (CH) structures, primarily due to its high-resolution, detailed outputs and cost-effectiveness. However, the quality of the derived photogrammetric point clouds, particularly point density, significantly influences the efficiency and accuracy of downstream procedures such as feature extraction to be used for different applications. This research work investigates how variations in point density affect the detection and segmentation of windows and rooftops, which are two key architectural features for the development of Energy Digital Twins (EDT) for the analysis of energy consumption patterns of the CH buildings. Using aerial photogrammetric datasets, we generated point clouds using the photogrammetric images and their accurate image orientations with a bundle adjustment processing. After that, we tested the point cloud at different densities (ranging from original resolution to 1/16th of the original point density) by controlled uniform down-sampling of an original high-density cloud. We evaluated an automated deep learning-based method segmentation of the windows and rooftop features from the point cloud datasets. The investigation indicates a strong correlation between point density and feature extraction accuracy, with a clear decline in detection performance if the subsampling goes below 1/8th of the original point density, which is around 20 points/m². Rooftop features exhibited greater resilience to reduced density compared to window features and were still detected even with down-sampled point clouds. The research work proposes a density-aware workflow for CH Digital Twin development and emphasises the need for strategic planning in aerial data acquisition for heritage documentation for the optimisation of aerial photogrammetric data practices and to enhance the reliability of Digital Twins in cultural heritage conservation.","url":"https://doi.org/10.5194/isprs-annals-x-m-2-2025-373-2025","authors":["Yogender Yadav","Sisi Zlatanova","Piero Boccardo"],"tags":["Photogrammetry","Point cloud","Computer science","Segmentation","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"https://doi.org/10.5194/isprs-annals-x-m-2-2025-373-2025","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4386848537","name":"Digital twin ed esperienza immersiva in VR: il caso studio dell’ex mattatoio di Testaccio, Roma","source":"openalex","abstract":"Il volume, dedicato al 44° Convegno Internazionale della Unione Italiana per il Disegno, indaga il tema delle ‘transizioni’ che rappresenta in modo particolarmente efficace il nostro tempo e l’attuale condizione dell’ambito disciplinare del Disegno. Il termine, al di là del suo significato generico di fase intermedia di un processo in cui si muta una condizione da uno stato a un altro, è stato sempre usato in diversi campi, dalla musica alla geofisica. In realtà le discipline del Disegno si sono sempre confrontate con temi e questioni relativi a passaggi da una condizione a un’altra. La storia della rappresentazione ci racconta di trasformazioni, anche epocali, relative al ‘disegnare’, con tutto ciò che il transire comporta: basti pensare all’evoluzione delle forme della rappresentazione, degli apparati strumentali, alla mutevolezza dei supporti, alla transizione analogico-digitale in atto, alle nuove modalità di comunicazione su piattaforme, all’offerta ipertrofica di immagini anche in rete che conferma le intuizioni di Guy Debord relative alla nuova spettacolarizzazione della società. Analogamente la rappresentazione innesca transizioni nella prefigurazione e nella comunicazione del progetto, anticipazione e preannuncio di eventi futuri.Le sfide proposte dal digitale pongono questioni ancora aperte delle quali si può soltanto intravedere la portata, come per esempio il rapporto tra il disegno e l’atto del modellare, e la costruzione di nuovi paradigmi del linguaggio visivo e della comunicazione.‘Transizioni’, quasi implicitamente, indica futuri possibili, evoluzione di tecnica e ricerca di nuove modalità espressive; allo stesso modo, però, può suggerire silenzi e riflessioni in un processo di raccordo tra storia, teoria, critica e costruzione. The volume, dedicated to the 44th International Conference of the Italian Union for Drawing, investigates the theme of ‘Transitions’, which particularly effectively represents our time and the current condition of the discipline of Drawing. The term, beyond its generic meaning of an intermediate stage in a process in which a condition changes from one state to another, has always been used in various fields, from music to geophysics. In fact, the disciplines of drawing have always been confronted with themes and issues relating to transitions from one condition to another. The history of representation tells us of transformations, even epochal ones, relating to ‘drawing’, with all that such transitions entail: suffice it to think of the evolution of forms of representation, of instrumental apparatuses, of the mutability of supports, of the analogical-digital transition underway, of the new modes of communication on platforms, of the hypertrophic offer of images also on the net that confirms Guy Debord’s intuitions relating to the new spectacularisation of society. Similarly, representation triggers transitions in the prefiguration and communication of design, the anticipation and foreshadowing of future events.The challenges posed by the digital pose open questions whose scope can only be glimpsed, such as the relationship between drawing and the act of modelling, and the construction of new paradigms of visual language and communication. ‘Transitions’, almost implicitly, points to possible futures, the evolution of technique and the search for new modes of expression; at the same time, however, it can suggest silences and reflections in a process of connection between history, theory, criticism and construction.","url":"https://doi.org/10.3280/oa-1016-c424","authors":["Daniele Calisi"],"tags":["Studio","Art","Humanities","Visual arts"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-14","doi":"https://doi.org/10.3280/oa-1016-c424","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411468703","name":"The rise of robotics and AI-assisted surgery in modern healthcare","source":"openalex","abstract":"The integration of robotics and artificial intelligence (AI) in surgery represents a transformative advancement in modern healthcare, promising enhanced precision, efficiency, and patient outcomes. Recent studies indicate a rapid adoption of AI-assisted robotic surgery across various surgical specialties, driven by improvements in accuracy and reduced complication rates. The research synthesizes findings from 25 recent peer-reviewed studies (2024-2025) on AI-driven robotic surgery. Systematic review and meta-analyses were conducted focusing on clinical efficacy, surgical precision, complication rates, and economic impacts. Quantitative data were extracted from retrospective trials, cohort studies, and systematic reviews to evaluate outcomes compared to manual surgical techniques. AI-assisted robotic surgeries demonstrated a 25% reduction in operative time and a 30% decrease in intraoperative complications compared to manual methods. Surgical precision improved by 40%, reflected in enhanced targeting accuracy during tumor resections and implant placements. Patient recovery times were shortened by an average of 15%, with lower postoperative pain scores. Additionally, studies reported an average 20% increase in surgeon workflow efficiency and a 10% reduction in healthcare costs over the conventional procedures. AI-enhanced robotic surgery significantly improves surgical outcomes through higher precision and efficiency, supporting widespread clinical adoption. Despite upfront costs and ethical concerns, continued innovation and integration promise substantial benefits for patient safety and healthcare resource optimization. Future research should focus on long-term patient outcomes and addressing ethical and training challenges.","url":"https://doi.org/10.1007/s11701-025-02485-0","authors":["Jack Ng Kok Wah"],"tags":["Medicine","Workflow","Transformative learning","Health care","Robotic surgery"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-20","doi":"https://doi.org/10.1007/s11701-025-02485-0","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7152113635","name":"From Optimization to Stability Preservation: A Self-Healing, Action-Bearing Digital Twin for Climate-Stressed Building Energy Systems","source":"openalex","abstract":"Climate change exposes building energy systems to conditions beyond conventional control assumptions, where heatwaves, occupancy shifts, sensor drift, and degradation erode stability over time. This study proposes a self-healing digital twin that preserves system behavior within a defined stability envelope by integrating physics-based modeling, data assimilation, and adaptive response mechanisms. Self-healing is defined as preventing instability under non-stationary uncertainty. The framework is validated in closed-loop simulations across multiple stress scenarios, demonstrating robust stability under compound disturbances. Performance is benchmarked against rule-based control, classical model predictive control (MPC), and conventional digital twin supervision using a locked paired evaluation protocol with 30 matched realizations per scenario. Under compound uncertainty, the proposed framework reduces cumulative thermal comfort violation from 27.8 ± 3.6 (MPC) to 13.9 ± 1.9 , corresponding to a 50.0% reduction. The time outside the comfort band decreases from 11.2% to 4.6%. Drift accumulation, measured through residual energy, is reduced by 56.2%, while control smoothness improves by 39.5%. Total energy consumption is reduced by 3.38%, and mean recovery time following major disturbances decreases from 11.8 ± 1.8 h to 4.5 ± 0.9 h. Ablation and failure analyses show that stability preservation arises from the coordinated interaction of data assimilation, envelope-based stabilization, and structural adaptation. The results indicate that resilience-oriented stability management provides a more reliable operational paradigm than optimization-centric control for building energy systems under climate-driven uncertainty.","url":"https://doi.org/10.65582/gti.2026.008","authors":["Seyed Reza Samaei","James Riffat"],"tags":["Stability (learning theory)","Control theory (sociology)","Residual","Smoothness","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-08","doi":"https://doi.org/10.65582/gti.2026.008","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411668558","name":"Centralised ESG Data Sharing and EU Competition Law: Safeguards for the Twin Transition","source":"openalex","abstract":"Abstract Over the past decade the European Union (EU) has transformed sustainability into a dense matrix of legally binding ESG reporting obligations for companies. Compliance increasingly hinges on firms’ ability to collect and verify thousands of datapoints deep into global supply chains – an exercise that is costly, error-prone and may yield non-comparable results. (Semi-)centralised ESG data-sharing arrangements – shared hubs where suppliers post one or more verified sets of sustainability figures that all their customers can reuse – can restore some efficiency by eliminating duplicate requests and supplying standardised, audit-ready inputs, but this amplifies competition-law risk. Drawing on competition law and policy and recent Dutch banking practice, the paper devises a set of legal “firewalls” and access rules that neutralise collusive potential resulting from the information exchange that takes place while safeguarding smaller market players from exclusion. These safeguards are essential to ensure that ESG data collaboration supports – not hinders – the EU’s Twin Transition towards a green and digital economy.","url":"https://doi.org/10.1017/err.2025.10023","authors":["Mariska Van De Sanden","Pim Jansen"],"tags":["Competition (biology)","Business","Competition law","Transition countries","Transition (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-26","doi":"https://doi.org/10.1017/err.2025.10023","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4411835477","name":"Threat Analysis of Power System Case Study via STRIDE Threat Model in Digital Twin Real-time Platform","source":"openalex","abstract":"Threat modeling is a pivotal analytical procedure employed to specify the potential threats and select the appropriate security measures. It helps reduce the risk of cyber-attacks that may target several components of the cyber-physical power systems. Accordingly, identifying potential cyber threats and assessing their consequences is an imperative aspect of the supervision and monitoring of power systems. This paper presents a threat analysis scheme of a power system case study utilizing the STRIDE threat model methodology. The developed model addresses several attack and threat scenarios combined into an attack graph model. In terms of security measures, this paper introduces a Secure, Encrypted, Authenticated Communication Channel (SEAC2), which is a two-level encryption method to secure the communication layer. Further, this study introduces an open-source Digital Twin (DT) platform that enables a real-time comprehensive assessment of the system's energy dynamics. It also prioritizes threat detection as another crucial aspect. A real case study from the Jordanian electrical network has been utilized in this study to validate the proposed platform.","url":"https://doi.org/10.1051/epjconf/202533003010","authors":["Hani Muhsen","Adib Allahham","Moath Qandil","Asma Alkhraibat","Ahmad Almomani","Ala‘aldeen Al-Halhouli"],"tags":["STRIDE","Power analysis","Computer science","Power (physics)","Threat model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1051/epjconf/202533003010","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4403963510","name":"Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study","source":"openalex","abstract":"BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in school-aged children. The lack of objective biomarkers for ADHD often results in missed diagnoses or misdiagnoses, which lead to inappropriate or delayed interventions. Eye-tracking technology provides an objective method to assess children's neuropsychological behavior. OBJECTIVE: The aim of this study was to develop an objective and reliable auxiliary diagnostic system for ADHD using eye-tracking technology. This system would be valuable for screening for ADHD in schools and communities and may help identify objective biomarkers for the clinical diagnosis of ADHD. METHODS: We conducted a case-control study of children with ADHD and typically developing (TD) children. We designed an eye-tracking assessment paradigm based on the core cognitive deficits of ADHD and extracted various digital biomarkers that represented participant behaviors. These biomarkers and developmental patterns were compared between the ADHD and TD groups. Machine learning (ML) was implemented to validate the ability of the extracted eye-tracking biomarkers to predict ADHD. The performance of the ML models was evaluated using 5-fold cross-validation. RESULTS: We recruited 216 participants, of whom 94 (43.5%) were children with ADHD and 122 (56.5%) were TD children. The ADHD group showed significantly poorer performance (for accuracy and completion time) than the TD group in the prosaccade, antisaccade, and delayed saccade tasks. In addition, there were substantial group differences in digital biomarkers, such as pupil diameter fluctuation, regularity of gaze trajectory, and fixations on unrelated areas. Although the accuracy and task completion speed of the ADHD group increased over time, their eye-movement patterns remained irregular. The TD group with children aged 5 to 6 years outperformed the ADHD group with children aged 9 to 10 years, and this difference remained relatively stable over time, which indicated that the ADHD group followed a unique developmental pattern. The ML model was effective in discriminating the groups, achieving an area under the curve of 0.965 and an accuracy of 0.908. CONCLUSIONS: The eye-tracking biomarkers proposed in this study effectively identified differences in various aspects of eye-movement patterns between the ADHD and TD groups. In addition, the ML model constructed using these digital biomarkers achieved high accuracy and reliability in identifying ADHD. Our system can facilitate early screening for ADHD in schools and communities and provide clinicians with objective biomarkers as a reference.","url":"https://doi.org/10.2196/58927","authors":["Zhongling Liu","Jinkai Li","Yuanyuan Zhang","Dan Wu","Yanyan Huo","Jianxin Yang","Musen Zhang","Chuanfei Dong","Luhui Jiang","Ruohan Sun","Ruoyin Zhou","Fei Li","Xiaodan Yu","Daqian Zhu","Yao Guo","Jinjin Chen"],"tags":["Preprint","Attention deficit hyperactivity disorder","Eye tracking","Psychology","Attention deficit"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-30","doi":"https://doi.org/10.2196/58927","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4324134927","name":"Non-Fungible Tokens: A Review","source":"openalex","abstract":"Non Fungible Tokens (NFTs) are among the most promising technologies that have emerged in recent years. NFTs enable the efficient verification and ownership management of digital assets and therefore, offer the means to secure them. NFT is similar to blockchain that was first used by the cryptocurrency and then by numerous other technologies. At first, the NFT concept attracted the attention of the digital art community. However, NFT has the potential to enable a plethora of different applications and sce We present a review of the NFT technology. We describe the basic components of NFTs and how NFTs work. Then, we present and discuss the different applications of the NFTs. Finally, we discuss various challenges that the NFT technology must address in the future.","url":"https://doi.org/10.1109/iotm.001.2200244","authors":["Badis Hammi","Sherali Zeadally","Alfredo J. Pérez"],"tags":["Distributed ledger","Cryptocurrency","Computer science","Data science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-01","doi":"https://doi.org/10.1109/iotm.001.2200244","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4406771574","name":"Digital transformation of healthcare in the Russian Federation","source":"openalex","abstract":"The history of creating and using various information and communication technologies for medicine and healthcare in Russia dates back to the 1950s–1960s, when the first scientific research was launched in the USSR and the first practical developments and proprietary technologies were created. The creation and application of the first software products was aimed at the collecting and automating statistical reports and partial automation of auxiliary departments, such as accounting, personnel departments, etc. In the early 2000s, Russia began to form a commercial market of specialized software for medicine and healthcare. In 2011, by order of the President and with the active participation of the professional community, the Russian Ministry of Health and Social Development launched a federal project to create a “Unified State Information System in Healthcare”, which became the starting point for the mass introduction of various information systems in the healthcare sector of the Russian Federation. In 2019, the federal project “Creation of a unified digital health care circuit based on Unified State Information System in Healthcare” was launched in Russia as part of the “Healthcare” national project. The implementation of the projects in 2011–2024 allowed to achieve high rates of application of medical information systems, as well as to move to projects on digital transformation of the industry, including the introduction of artificial intelligence technologies and various digital services and assistants for patients, doctors, and managers. The article presents a brief history of the development of digital projects, the current key directions in developing information technologies for healthcare and the results achieved so far.","url":"https://doi.org/10.47093/3034-4700.2024.1.1.20-34","authors":["V. V. Vankov","O. R. Artemova","A. V. Gusev"],"tags":["Russian federation","Transformation (genetics)","Health care","Digital transformation","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-07","doi":"https://doi.org/10.47093/3034-4700.2024.1.1.20-34","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4295242713","name":"The Trend of Metaverse and Augmented & Virtual Reality Extending to the Healthcare System","source":"openalex","abstract":"There is no escaping Internet's favorite buzzword for 2022: The Metaverse. Everyone is talking about it, but only a few know what it is or how it works. One can look at the Metaverse as a 3D model of the Internet where it is possible to spend your reality parallel to the virtual world. In broad terms, Metaverse can be explained as a virtual space, graphically rich, leaning towards verisimilitude where people can do all sorts of things they do in real-life such as shop, play, socialize, and party. The pandemic has accelerated innovations in the digital age. Looking beyond revolutions in telehealth, payments, remote monitoring, and secure data-sharing are other essential innovations in the fields of artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and blockchain technology. The Metaverse is still in its nascent stage and evolving continuously, having a huge potential in health care to combine the technologies of AI, AR/VR, web 3.0, Internet of medical devices, and quantum computing, along with robotics to give a new direction to healthcare systems. From improving surgical precision to therapeutic usage and more, the Metaverse can bring significant changes to the industry.","url":"https://doi.org/10.7759/cureus.29071","authors":["Kunal Bhugaonkar","Roshan Bhugaonkar","Neha Masne"],"tags":["Metaverse","Augmented reality","Computer science","Avatar","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-12","doi":"https://doi.org/10.7759/cureus.29071","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415917392","name":"Connected, digitalized wire arc additive manufacturing: utilizing data in the internet of production to enable industrie 4.0","source":"europepmc","abstract":"This work explores the potential of connected, digitalized Wire Arc Additive Manufacturing (WAAM) within the framework of Industrie 4.0, analyzing it through distinct process layers: workpiece, assembly, and product. Each layer presents unique timeframes and stakeholder interactions, necessitating varied data infrastructure demands, including a consideration of data security and privacy challenges. The workpiece layer mostly covers the local production setup and is thus directly coupled with the product and process quality as well as maintaining a safe operation. In the assembly layer, ensuring interoperability among diverse stakeholders is crucial, requiring clear definitions of responsibilities and access rights to enhance data exchange. The product layer prioritizes the reliability and trustworthiness of information for informed decision-making, advocating for solutions that guarantee authenticity and verifiability while addressing privacy concerns through techniques like privacy-preserving computing. The paper identifies a critical gap in real-world applications of these concepts in additive manufacturing. It proposes a data-driven quality control approach to enhance process and product quality in arc welding, leveraging digital shadows to create effective interfaces within production networks. This approach has demonstrated potential reductions in welding fume emissions by 12-40%, alongside connected applications that minimize exposure and energy consumption.","url":"https://doi.org/10.1038/s41598-025-15250-y","authors":["Samuel Mann","Jan Pennekamp","Muzaffer Ay","Mohamed Behery","Lukas Oster","Benjamin L. Ebert","Rahul Sharma","Dirk Abel","Gerhard Lakemeyer","Uwe Reisgen","Klaus Wehrle"],"tags":["Computer science","Interoperability","Process (computing)","Product (mathematics)","Production (economics)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-025-15250-y","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4407045420","name":"Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals","source":"pubmed","abstract":"This paper focuses on the elective surgical scheduling problem with multi-resource constraints, including material resources, such as operating rooms (ORs) and non-operating room (NOR) beds, and human resources (i.e., surgeons, anesthesiologists, and nurses). The objective of multi-resource constrained elective surgical scheduling (MESS) is to simultaneously minimize the average recovery completion time for all patients, the average overtime for medical staffs, and the total medical cost. This problem can be formulated as a mixed integer linear multi-objective optimization model, and the honey badger algorithm based on the Nash equilibrium (HBA-NE) is developed for the MESS. Experimental studies were carried out to test the performance of the proposed approach, and the performance of the proposed surgical scheduling scheme was validated. Finally, to narrow the gap between the optimal surgical scheduling solution and actual hospital operations, digital twin (DT) technology is adopted to build a physical-virtual hospital surgery simulation model. The experimental results show that by introducing a digital twin, the physical and virtual spaces of the smart hospital can be integrated to visually simulate and verify surgical processes.","url":"https://doi.org/10.1038/s41598-025-87867-y","authors":["Jun Xue","Zhi Li","Shuangli Zhang","Xue J","Li Z","Zhang S"],"tags":["Computer science","Scheduling (production processes)","Overtime","Nash equilibrium","Operations research"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 31","doi":"https://doi.org/10.1038/s41598-025-87867-y","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"oa:W4411351242","name":"A Generic Modeling Method of Multi-Modal/Multi-Layer Digital Twins for the Remote Monitoring and Intelligent Maintenance of Industrial Equipment","source":"openalex","abstract":"Digital twin (DT) is a useful tool for the remote monitoring, analyzing, controlling, etc. of industrial equipment in a harsh working environment unfriendly to human workers. Although much research has been devoted to DT modeling methods, there are still limitations. For example, (1) existing DT modeling methods are usually focused on specific types of equipment rather than being generally applicable to different types of equipment and requirements. (2) Existing DT models usually emphasize working condition monitoring and have relatively limited capability for modeling the operation and maintenance mechanism of the equipment for further decision making. (3) How to integrate artificial intelligence algorithms into DT models still requires further exploration. In this regard, a systematic and general DT modeling method is proposed for the remote monitoring and intelligent maintenance of industrial equipment. The DT model contains a multi-modal digital model, a multi-layer status model, and an intelligent interaction model driven by a kind of human-readable/computer-deployable event-state knowledge graph. Using the model, the dynamic workflows, working mechanisms, working status, workpiece logistics, monitoring data, and intelligent functions, etc., during the remote monitoring and maintenance of industrial equipment can be realized. The model was verified through three different DT modeling scenarios of a robot-based carbon block polishing processing line.","url":"https://doi.org/10.3390/machines13060522","authors":["Maolin Yang","Yifan Cao","Siwei Shangguan","Xin Chen","Pingyu Jiang"],"tags":["Modal","Layer (electronics)","Computer science","Real-time computing","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-16","doi":"https://doi.org/10.3390/machines13060522","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4415135420","name":"Optimising energy usage of a semi-continuous fluidised bed dryer using digital twin technology and energy management strategies","source":"openalex","abstract":"Pharmaceutical manufacturers are under increasing pressure to reduce energy consumption and enhance sustainability to meet net-zero emission targets. Achieving these goals requires advanced methodologies capable of capturing complex process dynamics and driving realtime optimisation. Industry 4.0 technologies – particularly Digital Twins (DTs) – offer significant potential, yet their effectiveness can be limited by undetected process anomalies and subtle energy-performance deviations. This study presents a novel DT integrated framework that combines energy management techniques, statistical monitoring, and a newly defined Energy Performance Indicator (EnPI) to optimise a semicontinuous fluidised bed dryer (FBD) within the GEA Consigma25 line at the Diamond Pilot Plant, University of Sheffield. Realtime experimental data and DT outputs were analysed using CUSUM (Cumulative Sum) deviation analysis, enabling sensitive detection of energy-moisture performance shifts that the DT alone could not identify. Results highlight 60°C as the optimal drying air temperature, delivering superior energy efficiency across liquid-to-solid ratios of 0.18 and 0.30, with opportunities for further refinement within the 50–60°C range. By bridging gaps in realtime multi‑objective monitoring, this integrated approach provides actionable insights for energy-efficient, quality-driven process control and establishes a scalable pathway towards sustainable pharmaceutical manufacturing.","url":"https://doi.org/10.1080/19397038.2025.2573275","authors":["Donald Ntamo","Vladislavs Kuliss","Payam Soulatiantork","Chalak Omar","Mohammad Zandi"],"tags":["Process engineering","Energy consumption","Process (computing)","Energy management","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"https://doi.org/10.1080/19397038.2025.2573275","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4413407758","name":"Modeling the effects of slip, twinning, and notch on the deformation of single-crystal austenitic manganese steel","source":"openalex","abstract":"The objective of this work is to deconvolute the interaction of slip, twinning, and notch on the deformation response of an austenitic manganese (Hadfield) steel using detailed finite element simulations. The simulations employ a rate-dependent crystal plasticity constitutive model that incorporates both slip and twinning deformation mechanisms. The model accounts for the spatially non-uniform appearance of new twin-related orientations, hardening due to slip–twin interactions, and modified properties of the twinned crystal. Limited experiments on single-crystal dog-bone and single-edge notch specimens, with two crystal orientations, are also conducted to aid the simulation. Several features of the experimental observations are accurately captured in the simulations. For example, simulations accurately capture distinct stress–strain responses associated with different crystallographic orientations, including variations in initial hardening behavior followed by either decreasing or increasing hardening depending on the dominant deformation mechanisms. The simulation also captures the observed orientation-dependent asymmetric deformation of the notch in single-edge notch specimens. Additionally, by selectively activating deformation mechanisms, the role of twinning is isolated and its influence on both global and local response is clearly demonstrated. These results provide a mechanistic understanding of how deformation mode interactions and local geometry (i.e., notch) influence the response of these materials.","url":"https://doi.org/10.1016/j.ijplas.2025.104453","authors":["Saketh Virupakshi","Xinzhu Zheng","Karol Frydrych","İbrahim Karaman","Abhinav Srivastava","K. Kowalczyk-Gajewska"],"tags":["Crystal twinning","Materials science","Manganese","Austenite","Slip (aerodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.1016/j.ijplas.2025.104453","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4412490433","name":"Impact of regional digital transformation on public health: an empirical analysis based on 31 provinces in China","source":"openalex","abstract":"BACKGROUND: With the rapid development of digital transformation driven by big data and artificial intelligence in China, the field of public health is undergoing profound transformations. This study introduces technological innovation as a mediating variable into an analytical framework to systematically explore the impact of digital transformation on public health and the underlying mechanism. METHODS: Using panel data from 31 provinces in mainland China from 2010 to 2019, this study empirically investigated the impact of digital transformation on public health via two-way fixed-effect analysis. Moreover, the internal mechanism was determined by testing the mediation effect of technological innovation. RESULTS: The research findings showed a significant positive relationship between digital transformation and improvements in public health. Mediation effect analysis indicated that digital transformation enhances public health by fostering technological innovation. Additional analysis revealed that the promoting effect in the central and western regions of China is more pronounced than that in the eastern regions. CONCLUSION: This study unveils that digital transformation significantly improves public health, especially through enhanced technological innovations that achieve health improvement, and proposes specific recommendations for future health development strategies. It not only offers a scientific foundation for government digital health policies but also provides a forward-looking perspective for academics engaged in the field of digital transformation and public health. Additionally, it empirically verifies the differential impacts of digital technology on public health across regions, provides scientific references for optimizing health resource allocation and narrowing regional health gaps, and contributes empirical findings toward achieving a Healthy China.","url":"https://doi.org/10.1186/s12889-025-23670-8","authors":["Xiping Xu","Yuanyuan Zhang","Yadong Wang","Chenjian Zhao","Yuhang Zhang","Xuefeng Xie"],"tags":["Public health","Digital transformation","China","Panel data","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-17","doi":"https://doi.org/10.1186/s12889-025-23670-8","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7165370556","name":"A Systematic Review of Digital Twin Technology Integration into Well and Reservoir Fluid Management Workflows for Real-Time Subsurface Monitoring","source":"openalex","abstract":"Digital twin technology creates continuously updated virtual replicas of physical petroleum production systems through real-time data assimilation, offering transformative potential for well and reservoir fluid management through dynamic model-based decision support. This narrative review draws on published case literature and methodological evidence across petroleum engineering, digital technology, and organizational management within a five-dimension maturity framework covering data architecture completeness, model updating frequency, production optimization functionality, human-machine interface design, and organizational adoption evidence. IoT monitoring deployments, cloud infrastructure scaling, ensemble data assimilation, machine learning production forecasting, blockchain-enabled audit trails, and compliance governance from adjacent digital sectors provide organizational infrastructure analogues. Niger Delta multi-reservoir well performance evidence provides regional context for evaluating digital twin applicability in complex clastic settings. Key findings confirm that successful implementations combine physics-based reservoir simulation with data-driven components within governance frameworks providing appropriate human-machine decision allocation. A structured methods section, maturity model table, implementation summary table, and four-layer architecture framework diagram are provided.","url":"https://doi.org/10.62225/2583049x.2023.3.6.6433","authors":["Omolara Atarhe Duvbiama-Owasanoye","Alexander Onwumere","Ovie Vincent Erhueh"],"tags":["Workflow","Context (archaeology)","Cloud computing","Process management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-30","doi":"https://doi.org/10.62225/2583049x.2023.3.6.6433","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W4417124812","name":"Artificial Intelligence Physician Avatars for Patient Education: A Pilot Study","source":"openalex","abstract":"Background: Generative AI and synthetic media have enabled realistic human Embodied Conversational Agents (ECAs) or avatars. A subset of this technology replicates faces and voices to create realistic likenesses. When combined with avatars, these methods enable the creation of “digital twins” of physicians, offering patients scalable, 24/7 clinical communication outside the immediate clinical environment. This study evaluated surgical patient perceptions of an AI-generated surgeon avatar for postoperative education. Methods: We conducted a pilot feasibility study with 30 plastic surgery patients at Mayo Clinic, USA (July–August 2025). A bespoke interactive surgeon avatar was developed in Python using the HeyGen IV model to reproduce the surgeon’s likeness. Patients interacted with the avatar through natural voice queries, which were mapped to predetermined, pre-recorded video responses covering ten common postoperative topics. Patient perceptions were assessed using validated scales of usability, engagement, trust, eeriness, and realism, supplemented by qualitative feedback. Results: The avatar system reliably answered 297 of 300 patient queries (99%). Usability was excellent (mean System Usability Scale score = 87.7 ± 11.5) and engagement high (mean 4.27 ± 0.23). Trust was the highest-rated domain, with all participants (100%) finding the avatar trustworthy and its information believable. Eeriness was minimal (mean = 1.57 ± 0.48), and 96.7% found the avatar visually pleasing. Most participants (86.6%) recognized the avatar as their surgeon, although many still identified it as artificial; voice resemblance was less convincing (70%). Interestingly, participants with prior exposure to deepfakes demonstrated consistently higher acceptance, rating usability, trust, and engagement 5–10% higher than those without prior exposure. Qualitative feedback highlighted clarity, efficiency, and convenience, while noting limitations in realism and conversational scope. Conclusions: The AI-generated physician avatar achieved high patient acceptance without triggering uncanny valley effects. Transparency about the synthetic nature of the technology enhanced, rather than diminished, trust. Familiarity with the physician and institutional credibility likely played a key role in the high trust scores observed. When implemented transparently and with appropriate safeguards, synthetic physician avatars may offer a scalable solution for postoperative education while preserving trust in clinical relationships.","url":"https://doi.org/10.3390/jcm14238595","authors":["Syed Ali Haider","Srinivasagam Prabha","Cesar A. Gomez-Cabello","Ariana Genovese","Bernardo Gabriele Collaço","Nadia Wood","Mark A. Lifson","Sanjay P. Bagaria","Cui Tao","Antonio J. Forte"],"tags":["Avatar","Usability","Medicine","Bespoke","Perception"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-04","doi":"https://doi.org/10.3390/jcm14238595","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7113903719","name":"Building Modeling Process Using Point Cloud Data and the Digital Twin Approach: An Industrial Case Study from Turkey","source":"openalex","abstract":"This study presents a terrestrial-laser-scanning-based scan-to-BIM workflow that transforms point cloud data into a BIM-based digital twin and analyzes how data collected with LiDAR (Light Detection and Ranging) can be converted into an information-rich model using Autodesk ReCap and Revit. Point clouds provided by laser scanning were processed in the ReCap environment and imported into Revit in an application that took place within an industrial facility of approximately 240 m2 in Izmir. The scans were registered and pre-processed in Autodesk ReCap 2022 and modeled in Autodesk Revit 2022, with visualization updates prepared in Autodesk Revit 2023. Geometric quality was evaluated using point-to-model distance checks, since the dataset was imported in a pre-registered form and ReCap did not provide station-level RMSE values. The findings indicate that the ReCap–Revit integration offers high geometric accuracy and visual detail for both building elements and production-line machinery, but that high data density and complex geometry limit processing performance and interactivity. The study highlights both the practical applicability and the current technical limitations of terrestrial-laser-scanning-based scan-to-BIM workflows in an industrial context, offering a replicable reference model for future digital twin implementations in Turkey.","url":"https://doi.org/10.3390/buildings15244469","authors":["Zeliha Hazal Kandemir","Özge Akboğa Kale"],"tags":["Point cloud","Workflow","Building information modeling","Lidar","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-10","doi":"https://doi.org/10.3390/buildings15244469","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W7128514992","name":"Digital Twin-Enabled Predictive Analytics for Friction Stir Welding: Multi-Physics Simulation, Sensor Synchronization, and Defect Detection","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8702698/v1","authors":["NABHAN TAWJIH YOUSEF","Rammah Yousef"],"tags":["Friction stir welding","Welding","Clamping","Finite element method","Process (computing)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.21203/rs.3.rs-8702698/v1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"oa:W4313446009","name":"Minding the gap between the front and back offices: A systemic analysis of the offshore oil and gas upstream supply chain for framing digital transformation","source":"openalex","abstract":"Abstract The offshore oil and gas upstream supply chain operations are part of a complex system with many stakeholders and intricate relationships. Traditionally, these operations are managed manually, which leads to inefficiencies. Despite the innovative and engineering‐orientated approaches adopted in other technical operations of the industry, the supply chain activities remain unchanged, relying heavily on legacy systems. However, cutting‐edge technology opportunities are available for adoption in supply chain management systems in the oil and gas industry. Such a transformative upgrade relies on first understanding the operational inefficiencies and preparing an accurate picture for how these operations should be performed. This study adopts a systemic approach to examine the oil and gas offshore supply chain operations of a case company to identify areas for improvement. The objective is to address the following research questions: (1) what is the current “AS‐IS” supply chain operations support; and (2) what is the desired “TO‐BE” state for these operations. This research adopts a soft systems lenses applied in an action research project to capture and analyze existing operations. The research revealed that information exchange is a major barrier, and that technology and organizational gaps are the primary hindrance for a digital transformation. The conclusion is that there is a need for a higher level of data exchange and increased data quality in any proposed transformation.","url":"https://doi.org/10.1002/sys.21652","authors":["Karen V. Czachorowski","Cecilia Haskins","Mo Mansouri"],"tags":["Supply chain","Supply chain management","Upstream (networking)","Framing (construction)","Petroleum industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1002/sys.21652","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W2889779571","name":"Enabling Technologies for Operator 4.0: A Survey","source":"openalex","abstract":"The fast development of smart sensors and wearable devices has provided the opportunity to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems (H-CPS) integrate the operators into flexible and multi-purpose manufacturing processes. The primary enabling factor of the resultant Operator 4.0 paradigm is the integration of advanced sensor and actuator technologies and communications solutions. This work provides an extensive overview of these technologies and highlights that the design of future workplaces should be based on the concept of intelligent space.","url":"https://doi.org/10.3390/app8091650","authors":["Tamás Ruppert","Szilárd Jaskó","Tibor Holczinger","János Abonyi"],"tags":["Computer science","Systems engineering","Workspace","Wearable computer","Operator (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-09-13","doi":"https://doi.org/10.3390/app8091650","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.4490361","name":"Research Trends on Block-Chain Based Digital Twin","source":"crossref","abstract":"The Internet of Medical Things (IoMT) will be promises to improve patient comfort, provide healthcare services that are inexpensive, speed up hospital operations, and give even more specialised therapy by integrating the Internet of Things (IoT) with medical technology. A digital doppelganger is a representation of a real-world procedure, system, or object in cyberspace. The physical system or item can be tracked, analysed, and modelled in real time. Blockchain technology is a cutting-edge database system that enables unrestricted data exchange between business networks. In a blockchain database, information will be stored in form of blocks that are linked together in a chain. We have calculated prior research using a variety of procedures, as well as studies contrasting a variety of methodologies and factors that have been promptly delivered. This study presents a thorough examination of prior studies on the use of blockchain and digital twins is connected to internet of medical devices. All scholars and researchers working on blockchain and digital twins for IoMT would benefit from this.","url":"https://doi.org/10.2139/ssrn.4490361","authors":["Ankur Mehra","Avinash Kaur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T07:21:33Z","doi":"10.2139/ssrn.4490361","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5127332","name":"Digital-Twin-Assisted Multi-Stage Machining of Thin-Wall Structures Using Interchangeable Robotic and Human-Assisted Automation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5127332","authors":["Mariam Abed","Abdelkhalick MOHAMMAD","Dragos Axinte","Andres Gameros","David Askew"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-06T20:43:51Z","doi":"10.2139/ssrn.5127332","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.14733/cadaps.2026.101-122","name":"Additive Manufacturing of Composites: A Framework for Digital Twin-driven Lifecycle Management","source":"crossref","abstract":"","url":"https://doi.org/10.14733/cadaps.2026.101-122","authors":["Xiao Wei","Jian Mao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T17:31:50Z","doi":"10.14733/cadaps.2026.101-122","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1117/12.3065965","name":"Bringing tomorrow’s energy facility to life: a digital twin and XR training approach","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3065965","authors":["Marc Asselin Asselin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-11T16:36:31Z","doi":"10.1117/12.3065965","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.71097/ijsat.v16.i2.6291","name":"Unlocking Predictive Maintenance in Industry 4.0: A Digital Twin-IoT Perspective","source":"crossref","abstract":"The convergence of Digital Twin (DT) technology and the Internet of Things (IoT) is reshaping predictive maintenance strategies in smart manufacturing environments. By enabling real-time synchronization between physical assets and their virtual counterparts, Digital Twins offer a powerful platform for condition monitoring, anomaly detection, and maintenance optimization. This paper explores the evolving role of DTs in enhancing the intelligence, efficiency, and reliability of predictive maintenance systems. The foundational principles, architectural components, and enabling technologies that underpin DT deployment in IoT-enabled manufacturing have been examined. The paper further presents real-world case studies illustrating tangible benefits across industries, while also addressing practical challenges such as data integration, model fidelity, and security. Finally, emerging research directions have been discussed to outline the trajectory of innovation in this rapidly advancing domain. This review aims to provide researchers and practitioners with a comprehensive understanding of how Digital Twins are driving a paradigm shift from reactive to proactive maintenance in the era of Industry 4.0 and beyond.","url":"https://doi.org/10.71097/ijsat.v16.i2.6291","authors":["Tarandeep Kaur -","Dr. Pankaj Deep Kaur -"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-19T05:05:00Z","doi":"10.71097/ijsat.v16.i2.6291","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5206034","name":"A Digital Twin for Monitoring Road Safety Using a Combination of Real-Time Data Analysis and Microscopic Traffic Simulations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5206034","authors":["Anton Núñez Seoane","Joaquín Martínez-Sánchez","Pedro Arias"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-12T21:42:17Z","doi":"10.2139/ssrn.5206034","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.5220/0012887900004536","name":"Elevator Passenger Abnormal Behavior Recognition Method Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012887900004536","authors":["Yaohui Song","Xiaolin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-08T16:20:38Z","doi":"10.5220/0012887900004536","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.18690/um.fov.4.2024.18","name":"Digital Twin Technology in the Rail Industry: A Dutch Qualitative Case Study on Success Factors, Challenges, and Future Use Cases","source":"crossref","abstract":"Assets in the rail industry are progressively being equipped with Internet of Things (IoT) technology. Digital Twins (DT) are increasingly being applied to manage those (critical) assets and the data they generate. One main problem area to which DTs could contribute is that of station management. However, few implementations are studied in-depth and empirically reported upon. This study focuses on qualitative exploratory research to uncover success factors, challenges, and future use cases regarding a DT implementation of a large station operated by a rail operator in the Netherlands. Results show that, in this case, most success factors and challenges are considered non-technical, i.e., most focus on internal and external collaboration within the project. We also identified consensus about how a DT would elevate station management maturity in the future, featuring (critical) asset monitoring, maintenance, crowd control, and safety management.","url":"https://doi.org/10.18690/um.fov.4.2024.18","authors":["Koen Smit","Joris Mens","Chaim de Gelder","John van Meerten"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.18","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5417889","name":"A Digital Twin of a Vacuum Filter-bed Dryer","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5417889","authors":["Stefan Irndorfer","Johan Remmelgas","Dalibor Jajcevic","Andrew Derrick","Andrew Shier","Gary Jolin","Benjamin Glasser","Johannes Khinast","Jason Mustakis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T12:30:49Z","doi":"10.2139/ssrn.5417889","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/electronics14244898","name":"Traffic-Driven Scaling of Digital Twin Proxy Pool in Vehicular Edge Computing","source":"crossref","abstract":"This paper presents a traffic-driven scaling framework for a digital twin proxy pool (DTPP) in vehicular edge computing (VEC), designed to eliminate the latency and synchronization issues inherent in conventional digital twin (DT) migration approaches. The core innovation lies in replacing the migration of vehicle DTs between edge servers (ESs) with instantaneous switching within a pre-allocated pool of DT proxies, thereby achieving zero migration latency and continuous synchronization. The proposed architecture differentiates between short-term DTs (SDTs) hosted in edge-side in-memory databases for real-time, low-latency services, and long-term DTs (LDTs) in the cloud for historical data aggregation. A queuing-theoretic model formulates the DTPP as an M/M/c system, deriving a closed-form lower bound for the minimum number of proxies required to satisfy a predefined queuing-delay constraint, thus transforming quality-of-service targets into analytically computable resource allocations. The scaling mechanism operates on a cloud–edge collaborative principle: a cloud-based predictor, employing a TCN-Transformer fusion model, forecasts hourly traffic arrival rates to set a baseline proxy count, while edge-side managers perform monotonic, 5 min scale-ups based on real-time monitoring to absorb sudden traffic bursts without causing service jitter. Extensive evaluations were conducted using the PeMS dataset. The TCN-Transformer predictor significantly outperforms single-model baselines, achieving a mean absolute percentage error (MAPE) of 17.83%. More importantly, dynamic scaling at the ES reduces delay violation rates substantially—for instance, from 13.57% under static provisioning to just 1.35% when the minimum proxy count is 2—confirming the system’s ability to maintain service quality under highly dynamic conditions. These findings shows that the DTPP framework provides a robust solution for resource-efficient and latency-guaranteed DT services in VEC.","url":"https://doi.org/10.3390/electronics14244898","authors":["Hao Zhu","Shuaili Bao","Li Jin","Guoan Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-12T15:27:20Z","doi":"10.3390/electronics14244898","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icoeca62351.2024.00179","name":"Packaging Virtual Image-Aided Generation Platform with Digital Twin: Innovations in Image Synthesis and Digital Twin Integration for Product Design Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoeca62351.2024.00179","authors":["Lingfang Xu","Ziwei Yu","Lin Li","Jing Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T17:30:41Z","doi":"10.1109/icoeca62351.2024.00179","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.15421/322516","name":"Digital twin as a tool for decentralized UAV swarm control","source":"crossref","abstract":"A strategy for applying digital twin (DT) tool has been proposed to support decentral-ized unmanned aerial vehicle (UAV) swarm control mechanisms, which can ensure: scala-ble and stable UAV operation in changing conditions; autonomous decision-making in conditions of limited or unstable communication; adaptation of UAV behavior based on available analytics. The main task of the ground station's DT is to provide comprehensive modeling, testing, planning, and adaptation of the UAV swarm to complex dynamic environmental conditions. An onboard interface module integrated into each drone ensures autonomous operation of the system in conditions of partial or complete loss of communica-tion with the ground infrastructure. It implements local adaptation to environmental changes, performs internal diagnostics of the technical condition of systems, and recon-structs the environment using onboard sensors and odometry or SLAM algorithms. The use of DT models makes it possible to transfer a significant part of the computational load from onboard AI platforms to a ground station, while maintaining strategic coordination, predictability, and flexibility of the collective behavior of the UAV swarm. A practical scenario for the application of DT in UAV swarm systems is presented, demonstrating its role as the strategic core of the control system.","url":"https://doi.org/10.15421/322516","authors":["N.D. Pankratova","I.M. Golinko","V.A. Pankratov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-08T09:28:22Z","doi":"10.15421/322516","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5550129","name":"A Digital Twin Architecture for the Dynamic Deployment of Machine Learning Models to IoT Devices for Edge and Fog Computing","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5550129","authors":["Jean-Marc Maree","Anton Basson","Karel Kruger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T17:37:32Z","doi":"10.2139/ssrn.5550129","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/systems13121121","name":"The Future of ESG in Multinationals: How Digital Twin Technologies Enable Strategic Value Creation","source":"crossref","abstract":"This study examines the role of Digital Twin technologies in advancing Environmental, Social, and Governance performance within multinational corporations. Grounded in socio-technical systems theory and stakeholder theory, the research investigates how digital twins facilitate the integration of organizational capabilities with external accountability mechanisms. A multi-method research design is employed, comprising in-depth case studies, capital market event analysis, and machine learning-assisted regression to capture both qualitative and empirical insights. Case evidence from Siemens, Unilever, Tesla, and BP reveals that DT adoption is associated with measurable ESG gains, including reduced emissions, improved safety, enhanced supplier compliance, and accelerated reporting cycles. Event study findings show statistically significant abnormal returns following ESG-oriented DT announcements, while regression analysis confirms a positive association between DT adoption and ESG performance. Governance structures are explored as potential moderators of this relationship. The findings underscore DTs as strategic enablers of ESG value creation, beyond their technical utility. By enhancing transparency, auditability, and stakeholder trust, DTs contribute to both internal transformation and external legitimacy. This research advances the discourse on ESG digitalization and offers actionable implications for corporate leaders and policymakers seeking to foster sustainable, technology-driven governance in complex global value chains. However, because the quantitative component relies on cross-sectional data, the relationships identified should be interpreted as associations rather than definitive causal effects.","url":"https://doi.org/10.3390/systems13121121","authors":["Eliza Ciobanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T10:11:23Z","doi":"10.3390/systems13121121","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/access.2025.3551532","name":"Digital Twin in Industries: A Comprehensive Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3551532","authors":["Md Bokhtiar Al Zami","Shaba Shaon","Vu Khanh Quy","Dinh C. Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T17:55:22Z","doi":"10.1109/access.2025.3551532","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2749/tokyo.2025.1456","name":"Digital Twin Models for the assessment of existing","source":"crossref","abstract":"&lt;p&gt;A digital twin is a dynamic, real-time digital representation of a physical object or system. For existing bridges, this involves the ability to monitor, simulate, and predict the behavior of structural members under various conditions. The seamless delivery of information from design through to maintenance is crucial for developing an effective digital twin model. This paper defines the essential Building Information Modeling (BIM) data required for creating a digital twin of a structural member. During the maintenance phase, additional data such as inspection and repair history are recorded to enhance assessment accuracy. The paper proposes several models encompassing material properties, damage assessment, and key performance indicators to effectively define the digital twin. Critical information for evaluating a prestressed concrete member includes the residual prestressing effect and the internal corrosion of prestressing steels. The proposed digital twin concept was validated through actual assessment of existing bridge members, demonstrating its efficacy and reliability.&lt;/p&gt;","url":"https://doi.org/10.2749/tokyo.2025.1456","authors":["Chang-Su Shim","Gitae Roh","Jihun Shin","Jiheon Shin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-07T17:29:46Z","doi":"10.2749/tokyo.2025.1456","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3850/978-981-94-3281-3_esrel-sra-e2025-p9570-cd","name":"Robot Fault Detection Using Digital Twin and Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p9570-cd","authors":["Haibo Li","Wenxuan Hu","Zhiguo Zeng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-10T08:19:37Z","doi":"10.3850/978-981-94-3281-3_esrel-sra-e2025-p9570-cd","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.5194/oos2025-1270","name":"COASTS: A Digital Twin for Coastal Resilience and Blue Carbon Ecosystems","source":"crossref","abstract":"Coastal zones around the world are vital for our environment, economy, and communities, highlighting the urgent need to use innovative technologies to address significant environmental challenges. Digital twins, a leading technology in environmental modeling and simulation, offer great potential for improving our understanding and management of these crucial areas, especially blue carbon ecosystems, by using advanced hydrodynamic and morphodynamic modeling.Coastal areas, which embody a diverse range of ecosystems such as mangroves, seagrasses, and salt marshes, generally referred to as blue carbon ecosystems, provide a wealth of ecosystem services and support rich biodiversity. These ecosystems are just as important for the environment as they are for the economy, supporting essential industries and providing livelihoods globally. However, climate change and harmful human activities pose serious risks to coastal zones, making it crucial to develop informed management strategies.Blue carbon habitats are vital to carbon sequestration efforts, playing a critical role in climate regulation. Despite this, they face increasing threats from sea-level rise, pollution, overfishing, and habitat destruction, with alarming loss rates observed in mangroves and seagrasses, which results in the release of stored carbon and degradation of key ecosystem services.To address these challenges, the COASTS (Coastal Observation Advances leveraging Space Technology Services) international initiative, proposes an innovative solution, integrating advanced Earth Observation data with state-of-the-art modeling and monitoring techniques. This integrated approach enables the creation of comprehensive digital twins, simulating coastal processes and blue carbon ecosystem dynamics. By leveraging the capabilities of the Copernicus Marine Service, the initiative combines advanced technological resources with actionable environmental insights.The COASTS project aims to develop a digital twin for coastal ecosystem resilience and blue carbon optimization, enabling stakeholders to develop effective management strategies specifically designed for these habitats. This effort will evaluate both the erosion protection abilities of coastal ecosystems and their ecosystem services, such as carbon sequestration ability. Through the integration of high-resolution EO data, the project will map spatial-temporal dynamics within coastal zones, establishing critical baseline information for conservation and restoration efforts.The project's pilot sites in Germany, Jersey, and the Maldives will provide testbeds for the system, facilitating its eventual application and scalability to other regions. The collaboration with stakeholders enriches the project's collaborative foundation, ensuring it meets the needs and acceptance of end users.","url":"https://doi.org/10.5194/oos2025-1270","authors":["Rainer Ressl","Mona Reithmeier","Knut Hartmann","Thomas Heege","Pooja Mahapatra","Delphine Lobelle","Phillip Schubert","Nashwan Matheen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-26T02:42:35Z","doi":"10.5194/oos2025-1270","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/su17083560","name":"Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review","source":"crossref","abstract":"Digital Twin (DT) technology is emerging as a powerful tool for optimizing energy efficiency and industrial sustainability. By creating virtual replicas of physical systems, DTs enable real-time monitoring, predictive maintenance, and resource optimization, offering new opportunities to meet growing energy demands. Despite its potential, the comprehension of DT technology’s applications, benefits, and challenges remains limited. This systematic review explores the role of Digital Twins in energy efficiency across various industries. A structured literature search was conducted in IEEE Xplore, Elsevier, Springer, MDPI, and Google Scholar, following PRISMA 2020 guidelines. After applying the predefined inclusion criteria, 50 studies were selected for in-depth analysis. The findings highlight that DT implementation can lead to energy savings of up to 30%, reduce operational costs, and improve predictive maintenance strategies. Their impact is particularly notable in smart buildings, manufacturing, and industrial processes, where real-time data analytics contribute to better energy management. However, significant barriers remain, including high implementation costs, data security risks, and the complexity of integrating DTs with existing infrastructures. By synthesizing the current research, this review underscores the transformative potential of Digital Twins while identifying key challenges that need to be addressed for their wider adoption. Future efforts should focus on developing standardized methodologies, reducing implementation costs, and enhancing cybersecurity measures to maximize their benefits in energy efficiency and sustainability.","url":"https://doi.org/10.3390/su17083560","authors":["Labouda Ba","Fatma Tangour","Ikram El Abbassi","Rafik Absi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-15T10:49:54Z","doi":"10.3390/su17083560","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/978-981-97-8483-7_6","name":"Optimizing Urban Heating: Integrating Geothermal Energy and Chemical Heat Pumps for Digital Twin Simulations","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-8483-7_6","authors":["Zhengguang Liu","Masoud Babaei","Chen Chen Song","Chenmeng Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T21:32:29Z","doi":"10.1007/978-981-97-8483-7_6","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.71465/mrcis183","name":"Digital Twin Technologies For Smart Manufacturing Systems","source":"crossref","abstract":"Digital Twin (DT) technology has emerged as a cornerstone of Industry 4.0, enabling real-time mapping of physical manufacturing systems into intelligent virtual representations. Through continuous data integration, simulation, and predictive analytics, digital twins improve system efficiency, reduce downtime, and enhance product quality. This article provides a comprehensive examination of DT frameworks, architectures, and applications within smart manufacturing environments. It explores key components—including IoT sensors, data pipelines, AI-driven predictive models, and cyber–physical integration. Two graphs illustrate the rising adoption of DT technologies and the productivity improvements achieved in manufacturing operations. The study concludes with challenges related to interoperability, cybersecurity risks, data standardization, and future opportunities, including autonomous factories and AI-enhanced DT ecosystems.","url":"https://doi.org/10.71465/mrcis183","authors":["Farhan Ahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T07:09:23Z","doi":"10.71465/mrcis183","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.12688/digitaltwin.17936.1","name":"Human digital twin technology for individual profiling using LC-MS untargeted metabolomics analysis of dried blood spot samples","source":"crossref","abstract":"Background Digital twins in healthcare enable the creation of accurate, real-time replicas of individual patients, allowing for personalized, data-driven diagnostics, treatment plans, and monitoring to enhance patient outcomes and healthcare efficiency. This transformative shift could significantly enhance our ability to comprehend and address individual well-being and health needs in a more personalized and preventive manner. This study aims to highlight the approach developed by BioTwin Inc., designed to assist and empower healthcare providers in their clinical practice. Methods Through the integration of dried blood samples (DBS), biometric data, untargeted metabolomics liquid chromatography and mass spectrometry (LC-MS) analysis, and a data-driven workflow, BioTwin Inc. holds the potential to generate insights into individual health, potentially catalyzing a transformative shift in healthcare. To achieve this, a cross-sectional study was conducted to collect DBS samples from 277 volunteers over 30 months across Canada and the United States of America. Samples were collected using standardized protocols and analyzed using LC-MS. Subsequently, a machine learning approach was employed for further analysis and refinement of prediction models. Results The results of the experiment demonstrate the dynamic nature of metabolism, revealing its variability within individuals over time and its uniqueness across different individuals. The precision for predicting sample ownership was 80% accuracy when users provided 5 samples and 92% accuracy when users provided 10 samples. These findings underscore the importance of understanding temporal variations and individuality in metabolomics research. Conclusions In conclusion, the use of digital twins in healthcare, coupled with untargeted metabolomics and advanced machine learning techniques, has the potential to revolutionize healthcare delivery. The emphasis on individuality, dynamic metabolic profiles, and precision in patient care opens new frontiers in personalized and preventive medicine. Moving forward, the integration of multiple data sources and the synergy between metabolic and biometric data will benefit both providers and patients.","url":"https://doi.org/10.12688/digitaltwin.17936.1","authors":["Manon Fradin","Louis-Philippe Noël","Gabriel Talbot-Lachance","Pierre Snell","Keven Voyer","Caroline Rhéaume"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T10:55:08Z","doi":"10.12688/digitaltwin.17936.1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.2139/ssrn.5733504","name":"Cross-Domain Digital Twin Architecture for Predictive Maintenance via Machine Learning and Large Language Models","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5733504","authors":["John Williams","Gerald Jones","Thomas Berg","Luke Birt","Ashley Stowe","Xueping Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T02:38:07Z","doi":"10.2139/ssrn.5733504","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5986035","name":"Digital Twin-Driven Federated Deep Reinforcement Learning for Mobility-Aware UAV-IoT Coordination in Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5986035","authors":["Ahmad Arsalan","Tariq Umer","Rana  Asif Rehman","Muhammad Bilal","Shahid Mumtaz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-29T23:41:13Z","doi":"10.2139/ssrn.5986035","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/access.2025.3594374","name":"The Application of Digital Twin Technology in the Evaluation of Environmental Design Solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3594374","authors":["Haoxuan Feng","Rongbing Mu","Yue Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-31T18:33:44Z","doi":"10.1109/access.2025.3594374","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1088/2631-8695/ae35d4/v2/response1","name":"Author response for \"Research on Fault Self-Healing Architecture of Hongmeng-Grid Hybrid System Driven by Digital Twin\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2631-8695/ae35d4/v2/response1","authors":["Yuanyi Xia","Tao Hong","Guoquan Yuan","Weiwei Miao","Luzong Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T21:05:37Z","doi":"10.1088/2631-8695/ae35d4/v2/response1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.54254/2755-2721/2025.21642","name":"Implementation of Digital Twin Campus by Mixed Virtual Reality Design and Construction Technology","source":"crossref","abstract":"This paper aims to realize digital twin campus by combining hybrid virtual reality technology, three-dimensional laser point cloud technology and BIM technology. First, Trimble TX8 3D scanner is used to collect the data of the target building, and then Trimble RealWorks is used to synthesize, splice, modify and measure the collected point cloud data. Then the synthesized point cloud model is imported into Revit as a reference, and the reverse modeling of point cloud is implemented in Revit, and the corresponding virtual 3D model of Glassroom is constructed. Because of the lack of the original drawings of the building, the second design and analysis of the target building are carried out, and the stability of the redesigned Glassroom structure is analyzed by using SAP2000. Finally, Trimble mixed virtual reality projection is used to make the digital double glass room.","url":"https://doi.org/10.54254/2755-2721/2025.21642","authors":["Chunhua Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-27T23:35:30Z","doi":"10.54254/2755-2721/2025.21642","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.54254/2755-2721/2025.28669","name":"Physics-Regularized Self-Supervised Anomaly Detection for Semiconductor Tools with Digital Twin Guidance","source":"crossref","abstract":"Unplanned stoppages in semiconductor tools remain a persistent limiter of throughput and yield, a situation partly sustained by monitors that rely on dense labels or rule sets that do not travel well across recipes and tools. We study a digital-twin-driven framework that learns a compact health representation from multiscale telemetry by self-supervised objectives and regularizes it with differentiable constraints drawn from mass balance, thermal–RF coupling, and vacuum dynamics; anomaly evidence is then fused with process, environmental, and maintenance logs so that alerts arrive with context and with a plausible operational hypothesis. Orchestrated with DolphinScheduler or Airflow, the pipeline coordinates ingestion, training, streaming inference, lineage, and review to align analytics with change control and auditability. Development was deliberately iterative rather than linear: label sparsity and timestamp drift pushed us toward cycle-aware alignment; twin mis-specification in edge regimes required residual diagnostics and parameter re-estimation; population shift prompted conformal calibration and sequential testing. On production-like etch and deposition traces, we observe earlier detection under fixed alert budgets and extensions in lead time that appear to improve MTBF and OEE to some extent, together with indications of lower service effort and energy use. Alternative explanations, including facility subsystems or undocumented operator interventions, cannot be excluded, which suggests that further research is needed on causal attribution, cross-site transfer, and adaptive twin updating.","url":"https://doi.org/10.54254/2755-2721/2025.28669","authors":["Min Yin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-28T11:52:31Z","doi":"10.54254/2755-2721/2025.28669","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1515/9783111327853-206","name":"List of contributors","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-206","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-206","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.5194/egusphere-egu24-1971","name":"Case studies towards cryosphere digital twin applications","source":"crossref","abstract":"The NOrdic CryOSphere Digital Twin (NOCOS DT) project aims to explore and pilot digital twin technology opportunities and showcase how output from key initiatives such as the Destination Earth (DestinE) Climate Change Adaptation Digital Twin (Climate DT) could be leveraged for key sea-ice impact sectors in the Arctic and Baltic.By enabling simulations at an unprecedented scale and resolution, DestinE and Climate DT aim to provide a more detailed representation of the Earth system. While awaiting the Climate DT data, NOCOS DT has done preparatory work using existing data sets in order to calculate novel navigational risk indicators, user-relevant &amp;#160;sea-ice climatologies and modeling of sea ice breakup and ridges. Additionally, the project looks at the potential use of this new information system and other climate data in marine spatial planning. NOCOS DT provides a Nordic perspective and insight that can inform Destination Earth in its future phases.The presentation provides an overview of the project and its main outcomes with informative animations. It hopes to spark open conversation around further ways to benefit from emerging digital twin technologies and ways to leverage international initiatives such as Destination Earth for specific impact sector needs in the Baltic Sea area.CSC &amp;#8211; IT Center for Sciences coordinates the NOCOS DT consortium which brings together the Danish Meteorological Institute (DMI), the Finnish Meteorological Institute (FMI), the Norwegian Meteorological Institute (MetNo), the Swedish Meteorological and Hydrological Institute (SMHI) together with Tallinn University of Technology, Department for Marine Systems (TalTech). The project is funded by the Nordic Council of Ministers.","url":"https://doi.org/10.5194/egusphere-egu24-1971","authors":["Iiris Liinamaa","Tero Aalto","Jari Haapala","Xinfang Zhang","Till Rasmussen","Keguang Wang","Lars Arneborg","Linn Carlstedt","Rivo Uiboupin","Ilja Maljutenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-08T10:59:06Z","doi":"10.5194/egusphere-egu24-1971","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5336378","name":"Development and Evaluation of an Interactive Digital Twin Platform Based on Unreal Engine5 to Integrate Information for a Revision of Community Agreement Support","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5336378","authors":["HUAJIAN ZHU","Satoshi YOSHIDA"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-02T16:41:57Z","doi":"10.2139/ssrn.5336378","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5223570","name":"A Digital Twin Model of Life-Cycle Rolling Bearing that Connects Measured and Virtual Signals by Goa","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5223570","authors":["Renxiang Chen","Yu Huang","Lixia Yang","Baoping Tang","Jialin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-19T22:40:44Z","doi":"10.2139/ssrn.5223570","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5108192","name":"&lt;div&gt;\n AI-Powered Urban Transportation Digital Twin:&amp;nbsp;&amp;nbsp;&lt;span&gt;Methods and Applications&lt;/span&gt;\n&lt;/div&gt;","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5108192","authors":["Yongjie Fu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-22T14:48:39Z","doi":"10.2139/ssrn.5108192","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2991/978-94-6463-736-6_13","name":"Collaborative Control Digital Twin Technology for Mines","source":"crossref","abstract":"","url":"https://doi.org/10.2991/978-94-6463-736-6_13","authors":["Yue Cao","Yuhan Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-22T12:57:40Z","doi":"10.2991/978-94-6463-736-6_13","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5492533","name":"An Air Quality Digital Twin for Real-Time Outdoor Air Quality Monitoring and Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5492533","authors":["Yitong Li","Holly Josephs","Yaocheng Wu","Gediminas Mainelis","Clinton J. Andrews","Jie Gong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-16T18:54:04Z","doi":"10.2139/ssrn.5492533","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.5194/egusphere-egu24-7534","name":"Compound flood forecasting and climate adaptation Destination Earth digital twin","source":"crossref","abstract":"Coastal deltas are extremely susceptible to flooding from sea, rivers, heavy rain and even more severe combinations thereof. Many coastal deltas are densely populated, and flood risk forms a serious threat that will likely increase in the future. There are two main mechanisms to reduce the devastating impacts of these floods; (1) adaptation to the increasing climate risks and (2) improved early warning and emergency response. We will present the Destination Earth digital twin on coastal compound flood inundation forecasting and climate adaptation that provide information &amp;#160;to support reducing of impacts.Examples for 5 use cases are presented showing flood inundation and flood impact maps resulting from compound combinations of surge, waves, heavy rain and riverine flooding. The results are based on an automated complex but generic workflow that takes the high resolution meteorological forcing from Extremes DT or Climate DT as input to the high resolution hydrological model (Wflow_sbm), the hydrodynamic model (Delft3D-FM) and the wave models (hurrywave and snap wave). Those models provide the boundary condition of the 2D flood inundation model SFINCS. Based on the calculated flood maps, impacts (in flood damage and people affected) are being calculated with Delft-FIAT. Results of the modelling chain and model validation will be to end user. The insights we obtained from our end users will provide valuable inputs for design of the compound flood digital twin.","url":"https://doi.org/10.5194/egusphere-egu24-7534","authors":["Kun Yan","Albrecht Weerts","Tycho Bovenschen","Andrew Cunningham","Sanne Muis","Floortje Roelvink","Frederiek Sperna Weiland","Tammo Zijlker"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-08T16:44:50Z","doi":"10.5194/egusphere-egu24-7534","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/en18226048","name":"Digital Twin-Driven Cybersecurity for 5G/6G-Enabled Electric Vehicle Charging Infrastructure: A Review","source":"crossref","abstract":"The increasing adoption of electric vehicles (EVs) and the integration of 5G/6G networks are driving the demand for secure, intelligent, and interoperable charging infrastructure within the Internet of Vehicles (IoV) ecosystem. Electric Vehicle Charging Stations (EVCS) face growing cyber–physical threats, including spoofing, data injection, and firmware tampering, risking user privacy, grid stability, and EVCS reliability. While artificial intelligence (AI), blockchain, and cryptography have been applied in cybersecurity, comprehensive solutions tailored to EVCS challenges, such as real-time threat mitigation and scalability, are often lacking. This paper addresses these critical cybersecurity gaps by presenting a comprehensive overview of novel strategies for enhancing EVCS security through the Internet of Digital Twins (IoDT) technology. The primary objective is to evaluate advanced frameworks that synergize digital twins with artificial intelligence, blockchain, and quantum-resistant cryptography. Through systematic literature analysis, global threat assessments, and review of international standards, this study identifies key attack vectors and their impacts on EVCS. Key findings demonstrate that digital twin-driven solutions facilitate real-time monitoring, anomaly detection, predictive threat mitigation, and secure system governance. This review offers actionable insights for researchers, industry stakeholders, and policymakers to strengthen the cybersecurity and resilience of next-generation electric mobility infrastructure, addressing challenges like scalability and implementation barriers.","url":"https://doi.org/10.3390/en18226048","authors":["Ernest Fiko Morgan","Mohd. Hasan Ali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-19T12:55:31Z","doi":"10.3390/en18226048","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.47576/2949-1886.2025.3.3.021","name":"Разработка моделей ценообразования в ходе трансферта цифрового двойника","source":"crossref","abstract":"В статье представлена детальная экономико-математическая модель формирования цены цифровых двойников, которая позволяет учитывать не только прямые затраты на разработку и внедрение продукта, но и получаемые покупателем выгоды. Особое внимание уделено анализу различных подходов к ценообразованию, таких как единоразовая покупка, рассрочка, подписка, плата за результат и оплата за использование. Проведен сравнительный анализ этих моделей платежей, выявлены их преимущества и недостатки с позиций покупателя и продавца. Дополнительно рассмотрены аспекты отражения операций с цифровыми двойниками в бухгалтерском учете согласно стандартам МСФО, в частности IFRS 15 и IFRS 16. Дана оценка влияния различных моделей оплаты на финансовые показатели обеих сторон сделки и перспективы их применения на практике. The article presents a comprehensive economic and mathematical model designed for pricing digital twins, enabling consideration of both direct costs of development and implementation as well as customer-derived benefits. Particular emphasis is placed on examining various pricing strategies such as one-time purchase, installments, subscriptions, outcome-based payments, and pay-per-use approaches. A comparative analysis highlights the strengths and weaknesses of these payment schemes from both buyer’s and seller’s perspectives. Additionally, the paper addresses accounting aspects under International Financial Reporting Standards (IFRS), specifically IFRS 15 and IFRS 16, and evaluates how different pricing models affect financial performance indicators and their practical applicability for both parties involved.","url":"https://doi.org/10.47576/2949-1886.2025.3.3.021","authors":["И.Г. Перевезенцев"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-14T02:58:06Z","doi":"10.47576/2949-1886.2025.3.3.021","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1201/9781003532286-9","name":"Role of Artificial Intelligence in Healthcare 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286-9","authors":["Shivangi Verma","Anupam Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286-9","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.36227/techrxiv.174494653.36571537/v1","name":"An End-to-End Digital Twin Framework for Traffic Prediction in O-RAN Networks","source":"crossref","abstract":"Dynamic traffic patterns and data scarcity in Open Radio Access Networks (O-RAN) pose significant challenges for real-time network optimization in 5G and beyond. This paper introduces an AI-driven Digital Twin Traffic Prediction (AI-DTTP) framework designed to address the challenges of dynamic traffic forecasting in O-RAN. In response to the limitations of traditional methods in handling the complexities of 5G and beyond networks, which are characterized by rapid changes and heterogeneous demands, our framework leverages a Digital Twin (DT) environment integrated with Generative Artificial Intelligence (GenAI) and incremental learning. By collecting real-time Key Performance Metrics (KPMs) from a live O-RAN testbed and incorporating them into a DT built on the open-source OpenTwins platform, the framework utilizes GenAI to generate synthetic traffic data, effectively augmenting real-world observations and simulating diverse network scenarios. Combined with incremental learning methodologies, this synthetic data allows for the continuous adaptation of traffic prediction models without complete retraining, enhancing their robustness and accuracy in dynamic environments. Implemented and validated on a real-world 5G testbed, our AI-DTTP framework demonstrates significant improvements in traffic prediction accuracy compared to conventional machine learning models, showcasing its practical effectiveness and adaptability for real-time network optimization in O-RAN deployments.","url":"https://doi.org/10.36227/techrxiv.174494653.36571537/v1","authors":["Hojjat Navidan","Cristian Martín","Vasilis Maglogiannis","Dries Naudts","Manuel Díaz","Ingrid Moerman","Adnan Shahid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-17T23:22:20Z","doi":"10.36227/techrxiv.174494653.36571537/v1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5335976","name":"Class-Incremental Learning Method of Convolutional Kolmogorov-Arnold Networks Bearing Fault Diagnosis Model Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5335976","authors":["Weizhong Wang","Tian Han","Jiachen Pang","Zhongjun Yin","Bowen Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-02T12:36:31Z","doi":"10.2139/ssrn.5335976","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/horticulturae12010028","name":"Digital Twin Irrigation Strategies to Mitigate Drought Effects in Processing Tomatoes","source":"crossref","abstract":"The increasing frequency and intensity of droughts, a direct consequence of climate change, represent one of the main threats to agriculture, especially for crops with a high water demand such as the processing tomato. The objective of this study is to evaluate the potential of the IrriDesK digital twin (DT) as a tool for automated irrigation management and the implementation of regulated deficit irrigation (RDI) strategies tailored to the crop’s water status and phenological stage. The trial was conducted in an experimental plot over two consecutive growing seasons (2023–2024), comparing three irrigation treatments: full irrigation based on lysimeter measurements (T1) and two RDI strategies programmed through IrriDesK (T2 and T3). The results showed water consumption reductions of 30–45% in treatments T2 and T3 compared to treatment T1, with applied volumes of 277–400 mm versus approximately 570 mm in treatment T1, thus remaining within the sustainability threshold (&lt;500 mm, equivalent to 5000 m3 ha−1). This threshold corresponds to the maximum seasonal allocation typically available for processing tomato under drought conditions in the region and was used to configure the DT’s seasonal irrigation plan. The monitoring of leaf water potential (Ψleaf) and the normalized difference vegetation index (NDVI) confirmed the DT’s ability to dynamically adjust irrigation and maintain an adequate water status during critical crop phases. In terms of productivity, treatment T1 achieved the highest yields (≈135 t ha−1), while RDI strategies reduced production to 90–108 t ha−1, but improved fruit quality, with increases in total soluble solids content of up to 10–15% (°Brix). These results demonstrate that IrriDesK is an effective tool for the optimization of water use while maintaining crop profitability and enhancing the resilience of processing tomatoes to drought scenarios.","url":"https://doi.org/10.3390/horticulturae12010028","authors":["Sandra Millán","Jaume Casadesús","Jose María Vadillo","Carlos Campillo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-29T05:28:19Z","doi":"10.3390/horticulturae12010028","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5954026","name":"Organisational Cybersecurity Challenges in Digital Twin Development: A Critical Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5954026","authors":["Stefanos Evripidou","Xicheng Li","Mohammad Alquraan","Runze Cheng","Ahmad Taha","Muhammad Ali Imran","David Flynn","Dimitrios Pezaros"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-22T15:43:59Z","doi":"10.2139/ssrn.5954026","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.4204/eptcs.418.4","name":"Towards Federated Digital Twin Platforms","source":"crossref","abstract":"","url":"https://doi.org/10.4204/eptcs.418.4","authors":["Mirgita Frasheri","Prasad Talasila","Vanessa Scherma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-04T13:24:09Z","doi":"10.4204/eptcs.418.4","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.34218/jom_12_02_009","name":"AGILE &amp; RESILIENT MODEL WITH AN IMPROVED DIGITAL TWIN APPROACH: AN OUTLOOK ON SUSTAINABILITY","source":"crossref","abstract":"","url":"https://doi.org/10.34218/jom_12_02_009","authors":["Paniendradutt. Kolluru"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-20T14:41:03Z","doi":"10.34218/jom_12_02_009","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.7717/peerj-cs.2877","name":"Federated learning for digital twin applications: a privacy-preserving and low-latency approach","source":"crossref","abstract":"The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. However, when sensitive information is extracted from physical entities, it faces potential leakage risks, as DT service providers are typically honest yet curious. Federated learning (FL) offers a new distributed learning paradigm that protects privacy by transmitting model updates from edge servers to local devices, allowing training on local datasets. Nevertheless, the training parameters communicated between local mobile devices and edge servers may contain raw data that malicious adversaries could exploit. Furthermore, variations in mapping bias across local devices and the presence of malicious clients can degrade FL training accuracy. To address these security and privacy threats, this paper proposes the FL-FedDT scheme—a privacy-preserving and low-latency FL method that employs an enhanced Paillier homomorphic encryption algorithm to safeguard the privacy of local device parameters without transmitting data to the server. Our approach introduces an improved Paillier encryption method with a new hyperparameter and pre-calculates multiple random intermediate values during the key generation stage, significantly reducing encryption time and thereby expediting model training. Additionally, we implement a trusted FL global aggregation method that incorporates learning quality and interaction records to identify and mitigate malicious updates, dynamically adjusting weights to counteract the threat of malicious clients. To evaluate the efficiency of our proposed scheme, we conducted extensive experiments, with results validating that our approach achieves training accuracy and security on par with baseline methods, while substantially reducing FL iteration time. This enhancement contributes to improved DT mapping and service quality for physical entities. (The code for this study is publicly available on GitHub at: https://github.com/fujianU/federated-learning . The URL address of the MNIST dataset is: https://gitcode.com/Resource-Bundle-Collection/d47b0/overview?utm_source=pan_gitcode&amp;index=top&amp;type=href&amp;; .)","url":"https://doi.org/10.7717/peerj-cs.2877","authors":["Jie Li","Dong Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-08T08:00:23Z","doi":"10.7717/peerj-cs.2877","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5899711","name":"Physics-Informed Machine Learning Modeling and Inferencer-in-the-Loop Based Real-Time Digital-Twin Emulation for a Maglev Transportation System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5899711","authors":["Yuzhong Zhang","Songyang Zhang","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-10T12:43:59Z","doi":"10.2139/ssrn.5899711","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.52202/081497-0083","name":"Research on Safety Risk Management of Underground Engineering Construction Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.52202/081497-0083","authors":["Yufeng ZHANG","Jinsong YANG","Chuxiong SHEN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-20T02:13:29Z","doi":"10.52202/081497-0083","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/pr13010211","name":"A Sustainability-Oriented Digital Twin of the Diamond Pilot Plant","source":"crossref","abstract":"The pharmaceutical industry is undergoing a significant transition from batch to continuous manufacturing, driven by increasing regulatory requirements and sustainability pressures. Digital twins (DTs) play a pivotal role in facilitating this transition by enabling real-time data visualisation, process optimisation, and predictive analytics. While substantial progress has been made in the development and application of DTs, particularly in industries such as energy and automotive, there remains a critical need for further research and development focused on creating sustainability-oriented digital twins tailored to pharmaceutical processes. In the pharmaceutical sector, DTs are being progressively utilised not only for real-time monitoring and analysis but also as dynamic training platforms for engineers and operators, enhancing both operational efficiency and workforce competency. This paper examines the University of Sheffield’s Diamond Pilot Plant (DiPP), a facility showcasing the future of pharmaceutical manufacturing through the integration of Industry 4.0 technologies and advanced sensors. This paper focuses on developing a data-driven model to predict energy consumption in a twin-screw granulator (TSG) within the DiPP. The model, based on second-degree polynomial regression, demonstrates strong predictive accuracy with R-squared values exceeding 0.8. By optimising energy performance indicators, this work aims to improve the sustainability of pharmaceutical manufacturing processes. This research contributes to the field of pharmaceutical manufacturing by providing a foundation for creating energy models and advancing the development of comprehensive DT.","url":"https://doi.org/10.3390/pr13010211","authors":["Donald Ntamo","Iason Papadopoulos","Chalak Omar","Payam Soulatiantork","Mohammad Zandi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-14T03:29:43Z","doi":"10.3390/pr13010211","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.5194/egusphere-egu25-16108","name":"A digital twin for volcanic unrest at Mount Etna","source":"crossref","abstract":"Surface deformation at active volcanoes is often a direct consequence of magma movements at depth. These dynamics create pressure changes within magmatic systems, altering the stress state of the surrounding rocks. The resulting deformation signals propagate to the surface, where they are captured by monitoring networks, offering a potential for valuable insights into the magmatic activity.To improve near-real-time detection and response during volcanic unrest, we are developing a digital twin for volcanic unrest induced by dike intrusions at Mount Etna. This innovative framework integrates 3D numerical simulations with artificial intelligence (AI) to enhance early warning capabilities and crisis management.The project involves two interconnected AI modules: the first (AI1) scans multi-parametric monitoring data to identify signs of unrest, while the second (AI2) analyzes surface deformation patterns to infer the distribution of probability for the underlying pressure forces. The AI2 model is trained on a dataset derived from an order of 10 million numerical simulations of dyke intrusions beneath Mount Etna, performed using the open-source, multi-physics finite element software GALES on the HPC Leonardo pre-exascale machine at CINECA. These simulations account for a distribution of dyke characteristics - size, location, orientation, and dip - replicating the variability observed at Mount Etna. The 3D computational framework incorporates the latest DEM topography and heterogeneous rock properties from recent seismic tomography surveys. By solving elastostatic equations, the simulations establish input-output relationships between source parameters and deformation patterns. The trained AI2 is designed to reconstruct the probability distribution of source parameters from deformation datasets as recorded by the real GNSS stations on the volcano. The whole workflow, triggered by AI1, instructed by GALES, analysed by AI2, and automatically fed by real data every 30 &amp;#8211; 60 minutes, provides a near-real-time picture of dyke propagation allowing a quick and robust interpretation of ground deformation data and assisting in early warning and volcanic crisis management.All of the software and procedures will be available open source for direct use as well as for replicating the approach at other volcanoes.","url":"https://doi.org/10.5194/egusphere-egu25-16108","authors":["Rebecca Bruni","Erica De Paolo","Deepak Garg","Martina Allegra","Flavio Cannavò","Chiara Paola Montagna","Paolo Papale","Michele Carpenè"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T03:19:02Z","doi":"10.5194/egusphere-egu25-16108","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/machines13080677","name":"Nose-Wheel Steering Control via Digital Twin and Multi-Disciplinary Co-Simulation","source":"crossref","abstract":"The aircraft nose-wheel steering system serves as a critical component for ensuring ground taxiing safety and maneuvering efficiency. However, its dynamic control stability faces significant challenges under complex operational conditions. Existing research predominantly focuses on single-discipline modeling, with insufficient in-depth analysis of the coupling effects between hydraulic system dynamics and mechanical dynamics. Traditional PID controllers exhibit limitations in scenarios involving nonlinear time-varying conditions caused by normal load fluctuations of the landing gear buffer strut during high-speed landing phases, including increased control overshoot and inadequate adaptability to abrupt load variations. These issues severely compromise the stability of high-speed deviation correction and overall aircraft safety. To address these challenges, this study constructs a digital twin model based on real aircraft data and innovatively implements multidisciplinary co-simulation via Simcenter 3D, AMESim 2021.1, and MATLAB R2020a. A fuzzy adaptive PID controller is specifically designed to achieve adaptive adjustment of control parameters. Comparative analysis through co-simulation demonstrates that the proposed mechanical–electrical–hydraulic collaborative control strategy significantly reduces response delay, effectively minimizes control overshoot, and decreases hydraulic pressure-fluctuation amplitude by over 85.2%. This work provides a novel methodology for optimizing steering stability under nonlinear interference scenarios, offering substantial engineering applicability and promotion value.","url":"https://doi.org/10.3390/machines13080677","authors":["Wenjie Chen","Luxi Zhang","Zhizhong Tong","Leilei Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-05T10:50:21Z","doi":"10.3390/machines13080677","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1201/9781003642411-22","name":"Digital twin-enhanced risk-based inspection for offshore structures considering fatigue cracks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003642411-22","authors":["S. Li","F. Brennan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-15T12:03:12Z","doi":"10.1201/9781003642411-22","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1145/3756423.3756455","name":"Research on the virtual simulation system of intelligent manufacturing production line teaching based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3756423.3756455","authors":["Shuaihua Chen","Yajuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-18T07:00:39Z","doi":"10.1145/3756423.3756455","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1145/3744335.3762326","name":"Student Research Track: Twin the Drive: An HGBR-based Machine Learning Model as a Vehicular Digital Twin for Risk Detection","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3744335.3762326","authors":["Cansu Demir","Narges Mehran","Alexander Meschtscherjakov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-09T06:53:03Z","doi":"10.1145/3744335.3762326","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1201/9781003425724-12","name":"Digital Twin for Federated Analytics Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-12","authors":["Dan Wang","Dawei Chen","Yifei Zhu","Zhu Han"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-12","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1049/icp.2025.3495","name":"Real-time digital twin inference for melt pool dynamics using deep neural operators","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2025.3495","authors":["Hongyu Zhu","Fuwen Liu","Xiwang He","Xueguan Song"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-18T09:34:55Z","doi":"10.1049/icp.2025.3495","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.26102/2310-6018/2025.50.3.016","name":"Цифровой двойник сценического пространства","source":"crossref","abstract":"В статье рассматривается концептуальный подход к созданию и использованию цифрового двойника сценического пространства, который позволяет за счет его синхронизации с реальным пространством реализовывать методы управления более высокого уровня с применением автоматизации сценических процессов и их интеллектуального анализа. Предложена модель сценического пространства, включающая в себя статические объекты сцены, динамические акторы и управляемое оборудование, а также промежуточные программные и аппаратные комплексы взаимодействия. На базе модели предложен метод построения цифрового двойника, основывающегося на двунаправленной синхронизации состояний модели и объекта автоматизации в реальном времени. Предложены варианты применения полученного программно-аппаратного комплекса с точки зрения разработки новых методов управления сценическим оборудованием и интеграции иммерсивных технологий в сценическое пространство. Описана архитектура и процесс разработки цифрового двойника и системы управления на его основе. Предложены новые методы управления, основанные на интеллектуальном анализе данных, включая автоматическое наведение световых приборов, переключение сцен по триггерам и интеграцию технологий дополненной реальности. Эти методы позволяют значительно упростить процессы управления и повысить иммерсивность мероприятий. The article examines a conceptual approach to creating and utilizing a digital twin of stage space, which enables the implementation of higher-level control methods through synchronization with the physical space, employing automation of stage processes and their intelligent analysis. A model of stage space is proposed, encompassing static stage objects, dynamic actors, and controllable equipment, as well as intermediate software and hardware interaction systems. Based on this model, a method for constructing a digital twin is introduced, relying on bidirectional real-time synchronization between the model and the automation object. Potential applications of the resulting hardware-software system are discussed, focusing on the development of new methods for managing stage equipment and integrating immersive technologies into the stage environment. The architecture and process of developing a digital twin and a control system based on it are described. New control methods based on intelligent data analysis are proposed, including automated targeting of lighting fixtures, scene switching via triggers, and the integration of augmented reality technologies. These methods significantly streamline control processes and enhance the immersiveness of events.","url":"https://doi.org/10.26102/2310-6018/2025.50.3.016","authors":["Л.Н. Теряев","В.А. Дорохин","С.А. Подгорный","А.А. Дорохин"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-17T15:47:42Z","doi":"10.26102/2310-6018/2025.50.3.016","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5637615","name":"Robotic measurement method for residual stress of complex components based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5637615","authors":["Xiaohui Jiang","Haojie Zhu","Zhiwen Huang","Ke Zhan","Hang Chen","Fei Ren","Xiao Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T21:27:34Z","doi":"10.2139/ssrn.5637615","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.63593/ist.2788-7030.2025.08.006","name":"Digital Twin-Driven Intelligent Collaborative Automation Model for Global Warehouse Networks and Application Validation","source":"crossref","abstract":"In the context of accelerated globalization, multinational logistics companies are confronted with significant challenges in global warehousing networks, including information latency, resource misallocation, and inefficient collaboration. This study addresses these issues by introducing digital twin technology to construct a virtual mirroring system for the overseas warehouse layouts of DongGuan Kreen Import and Export Co., Ltd. (with branches in the United States, Canada, Germany, and Vietnam). The digital twin system enables real-time collaboration and automated scheduling across global warehousing nodes, thereby enhancing the resilience of the global supply chain. The research is centered on three main aspects: First, a dynamic digital twin model is developed based on the physical space, equipment status, and business data of global warehousing nodes, achieving millisecond-level synchronization between physical and virtual warehouses. Second, intelligent resource allocation algorithms, automated cross-continental transfer decision mechanisms, and autonomous abnormal event response processes are designed to upgrade warehouse collaboration from a “passive execution” to an “active prediction” mode. Third, the digital twin model is validated in the context of “Amazon FBA headhaul logistics,” focusing on its collaborative efficiency in global warehouse stocking, replenishment, and return/exchange processes, with an emphasis on improving the response speed of cross-border e-commerce supply chains. The study demonstrates that the digital twin-driven intelligent collaborative automation model for global warehouse networks significantly enhances collaborative efficiency and supply chain resilience, forming a technical standard and practical paradigm for digital twin automation collaboration in global warehouses. This provides technological support for multinational logistics companies to address global warehousing collaboration challenges and enhances China’s scheduling discourse power in the global supply chain.","url":"https://doi.org/10.63593/ist.2788-7030.2025.08.006","authors":["Dingsong Ni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T10:04:00Z","doi":"10.63593/ist.2788-7030.2025.08.006","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.6028/nist.ams.100-68","name":"Digital Twin Lab :","source":"crossref","abstract":"Digitalization in manufacturing is a concept that, while having existed for some time, can now be realized because of advancements in IIoT (Industrial Internet of Things) enabling technologies and data standardization. Digital twins are at the forefront of this trend and are being implemented by many manufacturers worldwide. To further encourage the adoption of digital twins by United States (U.S.) manufacturing enterprises, the Systems Integration Division (SID) at the National Institute of Standards and Technology (NIST) has established a Digital Twin Laboratory (DTL). In this report, we outline the vision and objectives of the DTL and provide fundamental information on digital twins within the context of manufacturing. We provide a detailed description of the DTL setup and case studies implemented in the lab. Additionally, the relevant standards implemented in the DTL are listed and their contexts in digital twins for manufacturing are briefly summarized. Lastly, we explore possible research areas that can be supported by the DTL and identify future efforts to accomplish research objectives.","url":"https://doi.org/10.6028/nist.ams.100-68","authors":["Rishabh Venketesh","Deogratias Kibira","Guodong Shao","Matthew J Triebe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-09T15:53:18Z","doi":"10.6028/nist.ams.100-68","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/lnet.2025.3606789","name":"IDS-Twin: Digital Twin-Based Intrusion Detection Systems for Wireless Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lnet.2025.3606789","authors":["Hassan El Alami","Danda B. Rawat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-05T18:26:59Z","doi":"10.1109/lnet.2025.3606789","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.67228/30716357/ijmrse-2025pi7f8b","name":"Digital Twin-Assisted Optimization of Electric Vehicle Charging Infrastructure","source":"crossref","abstract":"The rapid adoption of electric vehicles (EVs) has increased the need for intelligent charging infrastructure capable of addressing challenges such as charging congestion, uneven energy distribution, grid instability, and long waiting times. Conventional charging management approaches based on static scheduling are inadequate for dynamic charging environments. This paper proposes a Digital Twin-Assisted Optimization Framework for Electric Vehicle Charging Infrastructure (DTO-EVCI) that integrates IoT, cloud computing, artificial intelligence (AI), machine learning, and optimization techniques to enable real-time monitoring, predictive analytics, and intelligent charging management. The framework synchronizes physical charging stations with a virtual digital twin, enabling accurate simulation, charging demand prediction, occupancy forecasting, optimized scheduling, predictive maintenance, and adaptive energy management. By improving charging efficiency, resource utilization, grid reliability, and renewable energy integration, the proposed framework reduces operational costs, minimizes charging delays, and supports sustainable large-scale EV deployment while contributing to smart city and carbon-neutral transportation initiatives.","url":"https://doi.org/10.67228/30716357/ijmrse-2025pi7f8b","authors":["Andrey Ershov","Alexey Lyapunov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T05:21:38Z","doi":"10.67228/30716357/ijmrse-2025pi7f8b","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.20944/preprints202501.0375.v1","name":"Digital Twin Integration for Workforce Training: Transforming SMEs in the Ornamental Stone Industry","source":"crossref","abstract":"The research highlights the transformative potential of digital twins in addressing workforce training gaps while emphasizing the importance of secure and reliable communication protocols. Future directions include expanding the framework to other traditional industries, incorporating adaptive artificial intelligence, and exploring long-term impacts on workforce productivity and organizational innovation. This study provides a robust foundation for integrating digital twin technology into SME training strategies, ensuring sustained competitiveness and growth in rapidly evolving markets.","url":"https://doi.org/10.20944/preprints202501.0375.v1","authors":["Carlos E Cremonini","Carlos Capela","Agostinho da Silva","Marcelo C Gaspar","Joel C Vasco"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-08T08:34:52Z","doi":"10.20944/preprints202501.0375.v1","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2139/ssrn.5177095","name":"Physics-Informed Deeplstm for Digital Twin Modeling of Steam Turbine Full-Operating Condition","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5177095","authors":["Ang Li","Fengjiao Guan","Haifeng Hu","Zhongcheng Liu","Bohao Xiao","Wenkang Huang","Yongmin Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-13T18:19:01Z","doi":"10.2139/ssrn.5177095","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.3390/technologies13110519","name":"AI-Driven Cognitive Digital Twin for Optimizing Energy Efficiency in Industrial Air Compressors","source":"crossref","abstract":"Energy efficiency is widely recognized as a critical strategy for reducing energy consumption in industrial systems. Improving energy efficiency has become a central point in industrial systems aiming to reduce energy consumption and operational costs. Industrial air compressors are among the most energy-intensive assets and often operate under static control policies that fail to adapt to real-time dynamics. This paper proposes a cognitive digital twin (CDT) framework that integrates reinforcement learning as, especially, a Proximal Policy Optimization (PPO) agent into the virtual replica of the air compressor system. CDT learns continuous from multidimensional telemetry which includes power, outlet pressure, air flow, and intake temperature, enabling autonomous decision-making, fault adaptation, and dynamic energy optimization. Simulation results demonstrate that PPO strategy reduces average SEC by 12.4%, yielding annual energy savings of approximately 70,800 kWh and a projected payback period of one year. These findings highlight the CDT potential to transform industrial asset management by bridging intelligent control.","url":"https://doi.org/10.3390/technologies13110519","authors":["Mawande Sikibi","Thokozani Justin Kunene","Lagouge Tartibu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-13T12:57:13Z","doi":"10.3390/technologies13110519","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/s00371-025-04131-0","name":"Digital twin-enabled deep learning for real-time fire situation awareness","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00371-025-04131-0","authors":["Tinglong Tang","Chunli Zhao","XinQiong Liu","ShuiFa Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-08T14:24:24Z","doi":"10.1007/s00371-025-04131-0","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icccworkshops67136.2025.11148199","name":"An Implicit Representation Network-Based Method for Material Calibration in Digital Twin Channel","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccworkshops67136.2025.11148199","authors":["Cheng Wang","Xin Wang","Shuyan Hu","Yang Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-09T17:30:02Z","doi":"10.1109/icccworkshops67136.2025.11148199","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.adhoc.2025.104008","name":"Trustworthy computation offloading in digital twin edge networks: A hierarchical game-based approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.adhoc.2025.104008","authors":["Soumaya Bounaira","Ahmed Alioua","Anna Maria Vegni","Ibraheem Shayea"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-23T04:12:44Z","doi":"10.1016/j.adhoc.2025.104008","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icmmts62835.2025.10925971","name":"Terahertz Radar Cross Section Measurement and Digital Twin Simulation for Advanced Insect Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmmts62835.2025.10925971","authors":["Basem Aqlan","Tobias Kubiczek","Jan C. Balzer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-22T00:29:49Z","doi":"10.1109/icmmts62835.2025.10925971","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.70517/ijhsa47111","name":"Lifecycle management and disaster simulation of power systems based on digital twin and multi-objective optimization","source":"crossref","abstract":"","url":"https://doi.org/10.70517/ijhsa47111","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-08T23:00:33Z","doi":"10.70517/ijhsa47111","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.meadig.2025.100018","name":"Bridging gray-box modeling and machine learning: A digital twin approach to refrigeration system identification and predictive maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.meadig.2025.100018","authors":["Robert Pędzik","Mikołaj Suchoń","Tomasz Barszcz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T10:51:03Z","doi":"10.1016/j.meadig.2025.100018","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/acpee64358.2025.11040459","name":"Research on Key Technology of Digital Twin of Transformer Equipment for Technology Compliance Assessment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acpee64358.2025.11040459","authors":["Jian Zhang","Xueli Liu","Jie Wu","Xingwang Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-27T17:42:01Z","doi":"10.1109/acpee64358.2025.11040459","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.13182/xyz-46800","name":"Digital Twin Architecture for Cybersecurity Incident Response in Instrumentation and Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.13182/xyz-46800","authors":["David Allison","Paul Smith","Kieran McLaughlin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-29T18:16:48Z","doi":"10.13182/xyz-46800","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11591246","name":"WI-DT: A Wireless ITS Digital Twin Platform for Urban V2X Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11591246","authors":["Jin Nakazato","Tomoki Murakami","Hiroaki Shimmiya","Jun Hwan Huh","Mikio Hasegawa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11591246","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/incacct65424.2025.11011470","name":"Cloud-Based Digital Twin for Cybersecurity Threat Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/incacct65424.2025.11011470","authors":["Venkata Ashok Kumar Boyina","Thiyagarajan Mani Chettier","Dhaval Patolia","Neha Gupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-28T13:50:19Z","doi":"10.1109/incacct65424.2025.11011470","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11590984","name":"A Quality-Driven Network Digital Twin Model with Application to Energy Efficient Mobile Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11590984","authors":["Azzedine Youssef Chouquir","Sergio Saba","Claudia Carballo González","Marco Martalò","Virginia Pilloni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11590984","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1115/imece2025-167195","name":"AI-Driven Smart Manufacturing: Digital Twin and VR-Enabled Predictive Maintenance for Industrial Efficiency Optimization","source":"crossref","abstract":"Abstract The advent of Industry 4.0 has driven the integration of artificial intelligence (AI), digital twin technology, and virtual reality (VR) into modern manufacturing ecosystems. This study presents an AI-enhanced digital twin framework for intelligent manufacturing monitoring, using real-world datasets and standardized repositories, with a focus on predictive maintenance and process optimization. The proposed system combines predictive analytics, synchronized simulation, and immersive VR training to deliver real-time insights supporting proactive decision-making. Key contributions include a multivariate time-series predictive maintenance model, a physics-aware digital twin, and human-in-the-loop VR training modules. A predictive maintenance model powered by AI and deep learning algorithms forecasts potential equipment failures based on historical anomaly detection and operational telemetry, significantly reducing unscheduled downtime. Experimental results demonstrate significant improvements in overall equipment effectiveness (OEE), defect reduction, and downtime minimization. Additionally, preliminary explainable AI analyses (SHAP and LIME) enhance interpretability and operator trust. The findings underscore the potential of integrated AI-digital twin-VR ecosystems as a scalable approach for next-generation smart manufacturing across domains such as aerospace, pharmaceuticals, and automotive production.","url":"https://doi.org/10.1115/imece2025-167195","authors":["Yunshun Chiou","Nijanthan Vasudevan","Arjuna Karthikeyan Senthilvel Kavitha","Tzu-Liang (Bill) Tseng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T16:37:31Z","doi":"10.1115/imece2025-167195","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.matchar.2025.115506","name":"Analysis of damage mechanisms in an AlSi10Fe0.7 model casting alloy based on a “digital twin”","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.matchar.2025.115506","authors":["T. Ickler","D. Jüngst","A. Brückner-Foit","M. Fehlbier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-25T23:24:50Z","doi":"10.1016/j.matchar.2025.115506","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/eucnc/6gsummit63408.2025.11036878","name":"An Open Source Digital Twin Framework for O-RAN","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eucnc/6gsummit63408.2025.11036878","authors":["Hammad Zafar","Ehsan Tohidi","Martin Kasparick","Sławomir Stańczak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-26T17:40:15Z","doi":"10.1109/eucnc/6gsummit63408.2025.11036878","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/978-3-031-67778-6_11","name":"Digital Twins and Their Role in Reengineering Engineering Education","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_11","authors":["Michael Grieves"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:23Z","doi":"10.1007/978-3-031-67778-6_11","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/idst67888.2025.11470027","name":"Digital Twin Based Unmanned Vehicle AI Safety Testing Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/idst67888.2025.11470027","authors":["Zhenhe Yu","Yan Qian","Yujie Zhong","Bingzhen Li","He Wang","Xiuguo Zou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:21:52Z","doi":"10.1109/idst67888.2025.11470027","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/b978-0-443-18987-6.00024-5","name":"Digital twin paradigm for coastal disaster risk reduction and resilience","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-18987-6.00024-5","authors":["Shunichi Koshimura","Nobuhito Mori","Naotaka Chikasada","Keiko Udo","Junichi Ninomiya","Yoshihiro Okumura","Erick Mas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T15:45:58Z","doi":"10.1016/b978-0-443-18987-6.00024-5","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1117/12.3066979","name":"Digital twin and deep learning-based metal weld defect detection system","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3066979","authors":["Pavlenko Petro","Yuxin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T13:08:26Z","doi":"10.1117/12.3066979","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/ichms65439.2025.11154278","name":"A Cognitive Digital Twin for Industry 5.0 Based on a Large Language Model Agent","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichms65439.2025.11154278","authors":["Shanhe Lou","Runjia Tan","Mengchu Zhou","Chen Lv"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-17T17:29:13Z","doi":"10.1109/ichms65439.2025.11154278","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/iccit68739.2025.11491235","name":"A Predictive Digital Twin Framework for Industrial Worker Health Monitoring Using Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccit68739.2025.11491235","authors":["MD Shaha Riaz Rimon","Snaholata Mondal","Fernaz Narin Nur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-06T19:37:56Z","doi":"10.1109/iccit68739.2025.11491235","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/ihmsc66529.2025.00019","name":"Research on Cross-Platform Compatibility Design of Modeling Digital Twin System in Metaverse Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ihmsc66529.2025.00019","authors":["Tingting Bai","Hongqian Qi","Qinglin Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T17:28:20Z","doi":"10.1109/ihmsc66529.2025.00019","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.37155/2972-483x-0304-13","name":"Digital Twin-Driven Intelligent Hotel BIM Operation and Maintenance System:A Case Study of Holiday Inn","source":"crossref","abstract":"","url":"https://doi.org/10.37155/2972-483x-0304-13","authors":["Lu Jian-Bin","Huang Bin","Zhang Hua","Zhang Kai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-06T06:14:10Z","doi":"10.37155/2972-483x-0304-13","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/net-lc65482.2025.11070749","name":"Coupling Calculation Method for Carbon Emission Reduction of Green Buildings based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/net-lc65482.2025.11070749","authors":["Chen Fang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-11T17:42:19Z","doi":"10.1109/net-lc65482.2025.11070749","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icuis67429.2025.11380578","name":"Digital Twin–Enabled Personalized Clinical Trials with Reliable and Explainable Data Pipelines using Organic Synthesis Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuis67429.2025.11380578","authors":["David Raju Kuppala","R.Hariharan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T20:47:49Z","doi":"10.1109/icuis67429.2025.11380578","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch031","name":"Utilizing Digital Twin Technologies to Integrate AI's Unrealized Potential With Digital Public Health Initiatives","source":"crossref","abstract":"In light of recent public health events such as the coronavirus disease 2019 (COVID-19) and monkey pox (mpox), digital technologies have gained more attention. The term “digital twin” (DT) refers to the computer-generated, virtual counterpart of a real-world entity, such as a community, device, or person. intricacy of the latter and forecast, stop, keep an eye on, and improve actual results. There has been discussion of the potential applications of DT systems in public health, ranging from organising large vaccination campaigns to figuring out how diseases spread. Not withstanding the potential benefits for the healthcare industry, a number of ethical, societal, and economic issues might prevent DT from being widely used. However, establishing proper regulations, bolstering sound governance, and initiating international cooperative initiatives guarantee the early adoption of DT technology.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch031","authors":["Syed Ibad Ali","Pabitra Kumar Nandi","Marwana Sayed","Smita Shahane","Asif Iqbal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch031","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1515/9783111327853-202","name":"About the book","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-202","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-202","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/iros60139.2025.11246237","name":"Absolute Localization through Vision Transformer Matching of Planetary Surface Perspective Imagery from a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iros60139.2025.11246237","authors":["Philippe Ludivig","Benjamin Wu","Maciej Zurad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T18:54:45Z","doi":"10.1109/iros60139.2025.11246237","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icecet63943.2025.11472192","name":"Digital Twin Optimization of Start-Stop Systems for 12V Lead-Acid Batteries","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet63943.2025.11472192","authors":["George Flutur","Gabriel Chindris","Dan Gota","Ovidiu-Petru Stan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T19:42:35Z","doi":"10.1109/icecet63943.2025.11472192","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icaiihi67124.2025.11403785","name":"Blockchain-Enabled Secure Data Transmission For Personalized E-Healthcare And Human Digital Twin Well-Being","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiihi67124.2025.11403785","authors":["Ashutosh Shankhdhar","Hitendra Garg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T20:55:03Z","doi":"10.1109/icaiihi67124.2025.11403785","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/etfa65518.2025.11205605","name":"Performance Characterization of the LEAP Hand: Control Interface and Digital Twin Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa65518.2025.11205605","authors":["Zahid Iqbal","Martin Dehmel","Sebastian Zarnack","Konstantin Werde"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T17:07:47Z","doi":"10.1109/etfa65518.2025.11205605","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/powertech59965.2025.11180734","name":"Advancements in Digital Twin: Distributed Energy Resources Simulation for Supporting System Level Scenario Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/powertech59965.2025.11180734","authors":["Mohammad Ghoreishi","Leonardo Carreras","Ghassen Nakti","Francesca Santori","Antonello Monti","Alberto Geri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T17:35:35Z","doi":"10.1109/powertech59965.2025.11180734","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/swc65939.2025.00265","name":"A Novel Naive Bayes Classifier for Detecting AI-Generated Text in Digital Twin Systems Using Word Pair Probabilities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc65939.2025.00265","authors":["Seyedeharezou Golchoubian","Runqiu Zhang","Liang Chen","Fan Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-20T21:14:29Z","doi":"10.1109/swc65939.2025.00265","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.procir.2025.03.053","name":"Collision-Free Trajectory Planning with Digital Twin Support for Robotic Bin Picking from Unstructured Bins","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2025.03.053","authors":["Xiaomei Xu","Attique Bashir","Jaykumar Bhagiya","Rainer Müller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T11:45:45Z","doi":"10.1016/j.procir.2025.03.053","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1002/9781394354047","name":"A Hardware‐in‐Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394354047","authors":["Jian Tang","Wen Yu","Junfei Qiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T21:31:16Z","doi":"10.1002/9781394354047","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/acdsa65407.2025.11166550","name":"Digital Twin Enabled Performance Optimization of Machine Tools: A Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acdsa65407.2025.11166550","authors":["Brett Sicard","Yuandi Wu","Stephen Andrew Gadsden","Alex McCafferty-Leroux"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-24T17:31:35Z","doi":"10.1109/acdsa65407.2025.11166550","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.31803/tg-20240228104040","name":"A Study on Visualization of Digital Twin Electric Vehicles Based on Gamification","source":"crossref","abstract":"This study investigated a methodology for implementing and simulating a digital twin (metaverse) electric vehicle visualization with gamification using a game engine (Unity 3D). This paper is important because it is the first study to visually represent an electric vehicle using a game engine. The core of this study is to analyze the differences between internal combustion and electric vehicles by implementing them in a digital twin, and the KONA model of Hyundai Motor Company, which has two types of engines, was selected. To create the driving roads to compare the performance of the two cars, the terrain was created with Unity Component Terrain. After creating the terrain, configuring the digital twin assets, creating a fuel economy system, setting up object placement and collision settings, and animating, the team created a simple comparison drive that yielded meaningful results. Several gamification elements were applied to motivate players to use the implemented digital twin electric vehicle simulation, increasing curiosity and engagement. Further research will be conducted to add more gamification elements and augment the digital twin experience to make it more engaging and visualize the electric vehicle to increase driver engagement and understanding.","url":"https://doi.org/10.31803/tg-20240228104040","authors":["Jung Tae Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T12:30:19Z","doi":"10.31803/tg-20240228104040","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icdds67737.2025.11344698","name":"Real-Time Household Energy Analytics Using Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdds67737.2025.11344698","authors":["Sakshi S. Gaikwad","Shrushti B. Kale","Trimurti S. Mudugule","Sarika R. Khope"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:59:04Z","doi":"10.1109/icdds67737.2025.11344698","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/infocomwkshps65812.2025.11152769","name":"Bridging Physical and Virtual World Using New Digital Twin Approach for 6G UAV Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152769","authors":["Krishnakanth Mohanta","Stefan Subasu","Saba Al-Rubaye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T17:28:22Z","doi":"10.1109/infocomwkshps65812.2025.11152769","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.23919/splitech65624.2025.11091784","name":"Revolutionizing Photovoltaic Asset Performance with Digital Twin and AI","source":"crossref","abstract":"","url":"https://doi.org/10.23919/splitech65624.2025.11091784","authors":["Ashok Kumar Patil","Nikhil Chanda","Jyothiraditya Danda","Vaishnavi M","Kousthub Menon","Prasad Honnavalli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-30T18:38:41Z","doi":"10.23919/splitech65624.2025.11091784","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icesep66633.2025.11155523","name":"State Assessment Method for Power Secondary Equipment Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icesep66633.2025.11155523","authors":["Rongtao Wei","Wan Yi","Zhihua Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T17:36:05Z","doi":"10.1109/icesep66633.2025.11155523","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icoias69065.2025.00020","name":"Development of a Digital Twin Collaborative Testing System for the Operation Status of the Main Cargo Door of Civil Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoias69065.2025.00020","authors":["Jing-Jing Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T19:48:15Z","doi":"10.1109/icoias69065.2025.00020","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icet66147.2025.11321346","name":"Digital Twin Enabled Control of a 4-DOF Robotic Arm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icet66147.2025.11321346","authors":["Maiza Matloob","Zulkifal Zulkifal","M. Aizaz Khan","Khadija Asim","Shahkar Ahmad Khan","Abid Imran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T20:55:14Z","doi":"10.1109/icet66147.2025.11321346","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1145/3776865.3776884","name":"Research on the Design and Development of Intelligent Manufacturing Production Platform Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3776865.3776884","authors":["Rongling Yin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-16T05:08:43Z","doi":"10.1145/3776865.3776884","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/gpecom65896.2025.11061918","name":"Digital Twin Application in Monitoring Parametric Variation in Dual Input Hybrid Output Converter for Standalone Nano-grid","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gpecom65896.2025.11061918","authors":["Vinodini Bhole","Sanjay Dambhare","Archna Thosar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-09T23:04:25Z","doi":"10.1109/gpecom65896.2025.11061918","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/pimrc62392.2025.11275277","name":"Optimizing Sensor Data Compression and Digital Twin Synchronization via a Stackelberg Game","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pimrc62392.2025.11275277","authors":["Markus Krantzik","Anja Klein","Lin Xiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-12T18:33:25Z","doi":"10.1109/pimrc62392.2025.11275277","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/telepe66277.2025.00131","name":"Analysis of Transmission Line Channel State Evolution Based on Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/telepe66277.2025.00131","authors":["Qishuai Liang","Jiang Ye","Zhao Zhang","Rican Lin","Xuance Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-04T18:35:03Z","doi":"10.1109/telepe66277.2025.00131","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.ifacol.2025.08.144","name":"Smart Metering and Hardware Trojan Electronic Digital Twin based on Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2025.08.144","authors":["A. Massaro","N. Epicoco","G. Loseto","G. Starace","C.A. Ardito"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-17T02:31:19Z","doi":"10.1016/j.ifacol.2025.08.144","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1504/ijbet.2025.10072020","name":"The Digital Twin Revolution in Personalised Medicine","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijbet.2025.10072020","authors":["Saniya Mehrin","Vasavi Sai Saraswati Rayapudi","Arthika Chauhan Laudia","Rama Rao Tadikonda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-22T13:00:15Z","doi":"10.1504/ijbet.2025.10072020","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/acait67930.2025.11522634","name":"Research and Practice of the Application of Digital Twin Technology in the Intelligent Inspection System of Hydropower Station","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acait67930.2025.11522634","authors":["Ligui Wu","Liming Yang","Qiangwen Zong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T19:49:28Z","doi":"10.1109/acait67930.2025.11522634","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.34925/eip.2025.285.13.209","name":"ВЛИЯНИЕ ТЕХНОЛОГИИ ЦИФРОВОГО ДВОЙНИКА НА БИЗНЕС-ПРОЦЕССЫ ПРЕДПРИЯТИЙ РОССИИ","source":"crossref","abstract":"Данная статья рассматривает влияние технологии Цифрового двойника на бизнеспроцессы предприятий России, меры которые предпринимают государственные структуры по внедрению цифрового двойника на предприятиях. В статье обсуждаются положительные эффекты от внедрения цифрового двойника, а также проблемы, которые сдерживают внедрение этой технологии. Целью исследование является определение проблем и перспектив использования цифрового двойника для повышения эффективности подготовки компании к цифровой трансформации. Рассмотрены наиболее популярные сферы бизнеса, в которых внедрение ЦД является наиболее эффективным. Данная статья рекомендуется к прочтению всем, кто работает в бизнес-среде и интересуется возможностями цифровых двойников. This article examines the impact of Digital Twin technology on the business processes of Russian enterprises, as well as the measures taken by government agencies to implement Digital Twin technology in enterprises. The article discusses the positive effects of implementing Digital Twin technology, as well as the challenges that hinder its adoption. The purpose of this study is to identify the challenges and opportunities of using a digital twin to improve the efficiency of a company's preparation for digital transformation. It also explores the most popular business sectors where Digital Twin technology is most effective. This article is recommended for anyone working in the business environment who is interested in the potential of Digital Twin technology.","url":"https://doi.org/10.34925/eip.2025.285.13.209","authors":["М.Н. ЛИПАТОВА"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T06:18:38Z","doi":"10.34925/eip.2025.285.13.209","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1017/pds.2025.10324","name":"The unique feature of designing with digital twin uncovered by design theory","source":"crossref","abstract":"ABSTRACT: Digital Twins are widely recognized as a transformative technological trend, yet their potential to foster innovation, particularly their generative capabilities, remains underexplored. This paper investigates how they can transcend traditional optimization roles to serve as tools for advancing knowledge and generativity in the design of their physical counterparts. Leveraging C-K theory, a framework is presented for modeling design processes with Digital Twins, characterizing design scenarios and identifying two distinct forms of generativity. An illustration of these results shows how designers can leverage Digital Twin reflexive capacity to challenge and reconfigure underlying knowledge of their physical counterparts. The transformative value of this reflexivity, combined with remodeling capabilities, is highlights the exploration of new design pathway for Digital Twins themselves.","url":"https://doi.org/10.1017/pds.2025.10324","authors":["Flora Mercat","Pascal Le Masson","Benoit Weil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-27T02:58:43Z","doi":"10.1017/pds.2025.10324","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/ests62818.2025.11152419","name":"Digital Twin Decision Aid for Determining Optimal Forecasted Load Profiles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ests62818.2025.11152419","authors":["Carson Murray","Andrew Boland","Kristen Booth"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-11T17:29:38Z","doi":"10.1109/ests62818.2025.11152419","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icct-pacific63901.2025.11012815","name":"Toward the Implementation of Hiroshima University Local 5G Communication Infrastructure in a Digital Twin Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icct-pacific63901.2025.11012815","authors":["Tomohiro Taniguchi","Takumi Harada","Hiromu Shimoji","Kouji Nishimura"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T17:43:25Z","doi":"10.1109/icct-pacific63901.2025.11012815","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icara64554.2025.10977591","name":"Digital Twin-Enabled Collision Mitigation for Path Constrained Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icara64554.2025.10977591","authors":["José Miguel Mendes","Mirgita Frasheri","Peter Gorm Larsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-05T13:52:10Z","doi":"10.1109/icara64554.2025.10977591","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/wcnc61545.2025.10978421","name":"ORBIT-DT: Bridging Simulation and Reality with Digital Twin Design for O-RAN in Beyond 5G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc61545.2025.10978421","authors":["Mahnoor Yaqoob","Ramona Trestian","Huan X. Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T17:53:33Z","doi":"10.1109/wcnc61545.2025.10978421","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.comnet.2025.111514","name":"Two-phase authentication for secure vehicular digital twin communications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.comnet.2025.111514","authors":["Xinwei Zhang","Chengzhe Lai","Guanjie Li","Dong Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-15T16:16:20Z","doi":"10.1016/j.comnet.2025.111514","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icns65417.2025.10976879","name":"A Digital-Twin Based Airspace Corridor Design and Dynamic Configuration for High-density UAS Traffic Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns65417.2025.10976879","authors":["Ning Zheng","Yan Xu","Kaiquan Cai","Gokhan Inalhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-06T17:01:56Z","doi":"10.1109/icns65417.2025.10976879","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.7868/s3034605325040057","name":"Prototype of Digital Twin of Isopropylbenzene Hydroperoxide Decomposition Process for Phenol and Acetone Production","source":"crossref","abstract":"For the unit of decomposition of isopropylbenzene hydroperoxide of the process of phenol and acetone production the prototype of the digital twin on the basis of the created neural network model is developed, which allows to calculate online the outputs of main and by-products, energy resources and conditional profit with relative error not more than 0.73%. Formation of a database of values of technological process parameters is carried out with the use of simulation modeling of plant operation and subsequent verification of model adequacy by comparing the obtained calculated results with the actual values of technological parameters. As a prototype of the digital twin, allowing to determine optimal values of the cumene process parameters of isopropylbenzene hydroperoxide decomposition unit in the online mode, it is proposed to apply the microcontroller ESP-8266 with built-in and developed program written in the language C.","url":"https://doi.org/10.7868/s3034605325040057","authors":["T.R. Prosochkina","K.G. Kichatov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T07:31:38Z","doi":"10.7868/s3034605325040057","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.55449/conresol.8.25.i-029","name":"A Conceptual Framework for Digital Twin-Based Waste Management: Enhancing Predictive Analytics and Optimization in Urban Waste Collection","source":"crossref","abstract":"","url":"https://doi.org/10.55449/conresol.8.25.i-029","authors":["Karoline Figueiredo","Assed Haddad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-11T23:06:31Z","doi":"10.55449/conresol.8.25.i-029","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2118/226833-ms","name":"Machine Learning-Based Digital Twin Model of Gas Turbines and its Application to Vibration Faults","source":"crossref","abstract":"Abstract Vibration issues in gas turbines can lead to miscellaneous failures i.e. Rotor imbalance, bearing damage, misalignment of the shaft, blade fatigue and cracking, seal failure, heat generation, coupling failure, and damage to auxiliary systems among others. All these issues can be addressed by utilizing Predictive maintenance to continuously monitor the health condition of gas turbines and by utilizing a Digital twins performance model. An emerging machine learning algorithm i.e. Temporal Multimodal Multivariate Learning (TMML) is utilized to perform Predictive Maintenance of the gas turbine. The algorithm handles massive volumes of complicated and diverse data, and it also captures the interdependencies between variables throughout various time periods and data streams. This research presents an early warning strategy for vibration based on a digital twin model that overcomes the aforementioned challenges from three angles. First, the measured data and mechanism model are merged for performance modeling and bring the real gas turbine closer to the simulation effects. Secondly, the relative precision of modeling parameters is controlled by developing a notion. The modeling cycle of the existing model is reduced by adding an error module. Third, Digital twin concept is based on early warning, and it uses kernel density estimation to let the warning feature's vibration parameters self-learn the alarm threshold. Using the proposed method, the actual measured data of the gas turbine is examined, and the findings validate that the newly built digital model is more precise and effective. Findings indicate that the digital twin model performs better.","url":"https://doi.org/10.2118/226833-ms","authors":["Bilal Khurshid","Riaz Ud Din","Ilyas Khurshid","Ahsan Waqar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-28T18:20:51Z","doi":"10.2118/226833-ms","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.prostr.2025.06.116","name":"Digital Twin based simulations for the evaluation of small-scale tensile specimen tests","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.prostr.2025.06.116","authors":["T. Fekete","D. Antók","L. Tatár","P. Bereczki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-15T21:42:47Z","doi":"10.1016/j.prostr.2025.06.116","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/978-981-96-6139-8","name":"Revitalizing Human-Robot Interaction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-6139-8","authors":["Huiying Zhou","Geng Yang","Baicun Wang","Na Dong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-10T03:17:26Z","doi":"10.1007/978-981-96-6139-8","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icaace65325.2025.11019841","name":"ReseArch on Operation Path Planning of Mobile Robotic Arm Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace65325.2025.11019841","authors":["Haiwen Zhao","Yongkang Yang","Haifeng Xiao","Yali Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-09T17:33:00Z","doi":"10.1109/icaace65325.2025.11019841","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.mfglet.2025.06.179","name":"A systematic review of Digital Twin (DT) and virtual learning environments (VLE) for smart manufacturing education","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2025.06.179","authors":["Sai Ashish Kumar Karanam","Nathan W. Hartman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T11:50:59Z","doi":"10.1016/j.mfglet.2025.06.179","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1061/9780784486122.052","name":"Framework for Automated Assembly Quality Assessment of DfMA Modules Using Augmented Reality-Enabled Digital Twin (ARDT)","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486122.052","authors":["Zhigang Li","Yuanchang Liang","David Kim Huat Chua"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-11T11:00:42Z","doi":"10.1061/9780784486122.052","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.61091/jcmcc127b-528","name":"Digital Twin Structure Monitoring System and Key Technologies of Distribution Network Based on Intelligent Communication Network","source":"crossref","abstract":"","url":"https://doi.org/10.61091/jcmcc127b-528","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-25T19:47:23Z","doi":"10.61091/jcmcc127b-528","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/wf-iot64238.2025.11270610","name":"Leveraging Social IoT to Improve Orchestration of Digital Twin Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wf-iot64238.2025.11270610","authors":["Luca Luciano Piras","Claudio Marche","Salvatore Quattropani","Giancarlo Sciddurlo","Michele Nitti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T18:38:54Z","doi":"10.1109/wf-iot64238.2025.11270610","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1201/9781003610151-11","name":"Digital Twin-Driven Approach to Predict Cutting Forces and Temperature in Turning of Ti 6246 Alloy","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003610151-11","authors":["Riaz Muhammad","Ghulam Hussain","Muftooh Ur Rehman","Numan Khan","Murat Demiral","Waseem Akram","Aamir Sharif"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-23T13:34:43Z","doi":"10.1201/9781003610151-11","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/978-981-95-2543-0_15","name":"Optimizing Machining Processes with Digital Twin Technology: A Review of Recent Developments","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-2543-0_15","authors":["Rajat Jain","P. Subhash Chandra Bose"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T13:13:10Z","doi":"10.1007/978-981-95-2543-0_15","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.71443/9789349552548-01","name":"Cyber Physical Systems and Digital Twin Technologies for Real Time Patient Health Simulation and Personalized Treatment","source":"crossref","abstract":"The convergence of Cyber Physical Systems (CPS) and Digital Twin (DT) technologies is redefining the landscape of personalized healthcare by enabling real-time patient monitoring, predictive analytics, and adaptive treatment planning. These technologies offer transformative capabilities that extend beyond traditional clinical workflows, supporting dynamic simulations of patient physiology and fostering precision in therapeutic interventions. By integrating continuous data from medical sensors, wearable devices, and hospital systems, CPS-DT frameworks create individualized, virtual replicas that mirror the patient’s evolving health status. This enables early anomaly detection, simulation of treatment outcomes, and personalized rehabilitation protocols, particularly in critical care and post-surgical recovery scenarios. The deployment of such intelligent systems, necessitates robust cybersecurity strategies to safeguard sensitive health data and ensure system integrity across distributed environments. This chapter explores the foundational principles, architectural design, real-world applications, and technological enablers of CPS and DT in clinical settings. It critically examines their synergistic integration, comparative advantages over conventional systems, and the implementation challenges within hospital infrastructure. Emphasis is placed on the secure and scalable deployment of these technologies to support real-time patient simulation and individualized treatment. The discussion addresses the research gap in harmonizing real-time data fusion, privacy-preserving analytics, and clinical interoperability. The chapter aims to provide a comprehensive reference for researchers, clinicians, and system developers working at the intersection of healthcare and intelligent cyber-physical technologies.","url":"https://doi.org/10.71443/9789349552548-01","authors":["B Anjanee Kumar","M. P Bobby","S Nithya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-28T09:01:08Z","doi":"10.71443/9789349552548-01","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.istruc.2025.109180","name":"The digital twin on a residential housing in the Czech Republic on the BIM platform and its importance for the circular economy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.istruc.2025.109180","authors":["Marek Jašek","Darja Kubečková"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-24T12:36:26Z","doi":"10.1016/j.istruc.2025.109180","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/icsss66939.2025.11346262","name":"Surrogate-Driven Structural Optimization of a Vacuum-Compatible Robotic End-Effector Using ANSYS and a Python Digital Twin Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsss66939.2025.11346262","authors":["Ponnapudi Durga Prasad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-23T20:56:11Z","doi":"10.1109/icsss66939.2025.11346262","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.2166/hydro.2025.304","name":"Digital twin for a real-time leakage detection and localization in pressurized piping systems","source":"crossref","abstract":"ABSTRACT Leakages in water supply networks can be minimized through pressure reduction or by repairing the resulting damage. The effective implementation of the latter approach necessitates the localization of leaks, for which various methods exist. This paper presents a specific software and hardware configuration for constructing a digital twin of pressurized piping systems that can be utilized for this purpose. The proposed method can identify both the flow and position of leaks and is based on solving an equivalent optimization problem, where the objective function depends on the difference between the measured pressure values at specific points and those predicted at the same points under the same boundary conditions by a computational model. Given the multimodality of the formulated problem, particle swarm optimization is implemented for this task. To enable real-time localization, the measured pressure values are transmitted to a microcontroller, which processes the data and sends it to a Python script. This script employs a while loop to continuously monitor the criteria for leak detection, and when these criteria are met, it initiates a procedure for leak localization. The theoretical aspect of the procedure, as well as its practical implementation, is presented below as an example.","url":"https://doi.org/10.2166/hydro.2025.304","authors":["Vanja Travaš","Emanuel Gal","Ivana Lučin","Elvis Žic"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-28T15:51:27Z","doi":"10.2166/hydro.2025.304","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1007/978-3-031-97864-7_2","name":"Diagnosis: Identifying Key Challenges in Implementing the Twin Transition in Schools","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-97864-7_2","authors":["Fabrice Serodes"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-01T09:21:36Z","doi":"10.1007/978-3-031-97864-7_2","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.psj.2025.104771","name":"Research on virtual collection method of layer house temperature for the construction requirements of digital twin system","source":"pubmed","abstract":"At present, in the context of the highly intensive development of livestock and poultry breeding, digital management is becoming increasingly important, and digital twin systems are gradually being applied. To solve the contradiction between data acquisition and sensor network congestion, a virtual acquisition method based on historical data and real-time reference of point data is proposed when constructing a digital twin system. Firstly, computational fluid dynamics (CFD) simulation was used to analyze and determine the temperature distribution and environmental characteristics inside the layer house, and the collection area was preliminarily divided according to the CFD simulation results. Then, combined with gray correlation degree and cosine similarity analysis, it can effectively identify the reference points highly correlated with the temperature of the key unmonitored area. Finally, WOA was used to optimize the BiLSTM hyperparameters and construct a WOA-BiLSTM virtual acquisition model. It is based on the XGBoost algorithm to determine the actual data collection points, predict the current value based on the actual data of the reference point and the historical data of the test point, and complete virtual collection. Through the test in a farm, the average absolute error between the data of 10 virtual collection points and the actual data was within 0.25 &#xb0;C, which ensured the reliability of the data. It analyzes the data volume requirements for digital twin modeling and theoretically verifies the supporting role of virtual collection in the construction of digital twin systems.","url":"https://doi.org/10.1016/j.psj.2025.104771","authors":["Yuchen Jia","Lihua Li","Liai Gao","Jia Y","Li L","Gao L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.psj.2025.104771","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.1109/wconf64849.2025.11233244","name":"Edge-Cloud Synergized Digital Twin Framework for Real-Time Decision Intelligence in Industry 5.0-Driven Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wconf64849.2025.11233244","authors":["P. Janaki Ramal","E. Anbalagan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T18:38:48Z","doi":"10.1109/wconf64849.2025.11233244","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/ifeea66847.2025.11388844","name":"Research on Tightening Assembly Cell Layout Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ifeea66847.2025.11388844","authors":["BingTong Liu","Teng Tan","Hao Guo","WenTao Luo","Shuai Wang","JianWen Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-18T21:14:48Z","doi":"10.1109/ifeea66847.2025.11388844","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1109/ictbig68706.2025.11323786","name":"Advancing Efficiency in Project Management Through Digital Twin Integration and Artificial Intelligence for Complex Construction Projects","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictbig68706.2025.11323786","authors":["Chirag Soni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T20:55:18Z","doi":"10.1109/ictbig68706.2025.11323786","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"doi:10.1016/j.rineng.2025.106570","name":"A comprehensive review of digital twin applications in electric vehicles: Evolution, classification, and future directions towards Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rineng.2025.106570","authors":["Arun Jose","Sonam Shrivastava"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-06T00:58:04Z","doi":"10.1016/j.rineng.2025.106570","addedAt":"2026-09-01T01:47:35.190Z","updatedAt":"2026-09-01T01:47:35.190Z"},{"id":"oa:W3038007669","name":"Mobile Mapping, Machine Learning and Digital Twin for Road Infrastructure Monitoring and Maintenance: Case Study of Mohammed VI Bridge in Morocco","source":"openalex","abstract":"The concepts of Digital Twin has been recently introduced, it refers to functional connections between a complex physical system and its high-fidelity digital replica. Digital Twin process workflow is proposed in case of Mohammed VI Bridge modeling in Morocco. The current maintenance of a road infrastructure is based on a manual inspection and a system based on traditional tools. Aging infrastructures require a new approach to maintenance in terms of inspection, bridge maintenance system, simulation and systematic evaluation. This system now exists and is called the Digital Twin. Digital Twin can be thought of as a virtual prototype in service that changes dynamically in near real time as its physical twin changes. An urban infrastructure digital twin is a virtual instance of his physical twin that is continuously updated with multisource, multisensor and multitemporal data that can be used for monitoring, simulating and forecasting any potential problem that may appear in the structure and proposing planning for repair and maintenance of health status throughout the life cycle of this infrastructure. This work presents a general vision and a justification for integrating DT technology with geospatial data. The paper examines the benefits of integrating 3D GIS data acquired by automated mobile mapping (MMS) workflows for modeling the reality of a major bridge infrastructure in Morocco. This allowed to study the future performance of this bridge structure on virtual twin structures under different environmental conditions. Cloud point data are acquired by a Mobile Mapping System on Mohammed VI Bridge and converted in BIM model by a scan to BIM process and is integrated in a GIS and BIM virtual environment and shows the efficiency of volumetric auscultation in terms of surface flatness and distortion inspection. This project provides a new bridge maintenance system using the concept of a Digital Twin. This digital model is a platform that allows to collect, organize and share the maintenance history of this important road infrastructure in Morocco.","url":"https://doi.org/10.1109/morgeo49228.2020.9121882","authors":["Sofia Hakdaoui","Anas Emran","Oumghar Faiz"],"tags":["Bridge (graph theory)","Workflow","Computer science","Geospatial analysis","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-01","doi":"https://doi.org/10.1109/morgeo49228.2020.9121882","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4324291262","name":"Design of Digital Twin System for DC Contactor Condition Monitoring","source":"openalex","abstract":"Digital twin technology provides insight to solve the problems of state monitoring and life evaluation of electromagnetic devices. When performing digital twin system design, it is necessary to face the challenges of multi-physical field and multi-scale modeling, dynamic time-varying parameters, and data interaction. In this paper, a digital twin system design scheme for DC contactors is proposed. The modeling approach describes and defines the model at three levels: geometric, mechanistic, and data. Based on the constructed model, the knowledge acquisition and data mapping processes of the contactor operation process are investigated. In addition, the fidelity assessment method of the digital twin model is given in order to evaluate the validity of the constructed model. The empirical validation shows that the proposed digital twin high-fidelity modeling method is effective and the model can be evaluated.","url":"https://doi.org/10.1109/tia.2023.3256978","authors":["Bo Zhang","Miao Zhang","Ting Dong","Mingquan Lu","Haitao Li"],"tags":["Contactor","High fidelity","Fidelity","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-14","doi":"https://doi.org/10.1109/tia.2023.3256978","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3110038429","name":"Real-Time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin","source":"openalex","abstract":"Abstract The functional parts of a machine tool determine its reliability level to a great extent. The failure prediction of the functional part is helpful to prepare the maintenance scheme in time, in order to ensure a stable manufacturing process and the required production quality. Due to the rise of digital twin (DT), which has the characteristics of virtual reality interaction and real-time mapping, a DT-based real-time prediction method of the remaining useful life (RUL) and preventive maintenance scheme is proposed in this study. In this method, a DT model of the manufacturing workshop is established based on real-time perceptual information obtained by the proposed acquisition method. Subsequently, the real-time RUL of the functional part is predicted by establishing an RUL prediction model based on the nonlinear-drifted Brownian motion, which takes the working conditions and measurement errors into consideration. On this basis, the optimal preventive maintenance scheme can be determined and fed back to the manufacturing workshop, in order to guide the maintenance of relevant parts. Finally, an example case study is presented to illustrate the feasibility and effectiveness of the proposed method.","url":"https://doi.org/10.1115/1.4049153","authors":["Jinyan Guo","Zhaojun Yang","Chuanhai Chen","Wei Luo","Wei Hu"],"tags":["Preventive maintenance","Reliability (semiconductor)","Predictive maintenance","Reliability engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-19","doi":"https://doi.org/10.1115/1.4049153","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4390659370","name":"Confluence of Digital Twins and Metaverse for Consumer Electronics: Real World Case Studies","source":"openalex","abstract":"Digital twins and Metaverse have independent applications across several industries, such as manufacturing, art, construction, healthcare, transportation, automotive, and aerospace, but they can be seamlessly integrated, thanks to their mutually supportive and complementary features, enabling several highly improvised applications. For the first time, we explore the impact of the confluence of digital twins and Metaverse on the consumer electronics industry and elaborately describe the concerning applications. To understand the practicality and feasibility of the proposed applications, we implemented three case studies: robot-based digital twin-enabled remote consumer electronics manufacturing, digital twin-enabled consumer electronics showroom experience in the Metaverse, and digital twin-aided collaborative design and development of consumer electronics. We have built the case studies using actual hardware and software related to digital twins and Metaverse, like Meta Quest 2 and Harfang3D. We have created a digital twin of Reachy with the help of URDF (Unified Robot Description Format) files and modeled the translation of real-world movements to virtual-world movements using inverse kinematics.","url":"https://doi.org/10.1109/tce.2024.3351441","authors":["Siva Sai","Manish Prasad","Aniket Upadhyay","Vinay Chamola","Norbert Herencsár"],"tags":["Inverse kinematics","Metaverse","Computer science","Electronics","Automotive industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-08","doi":"https://doi.org/10.1109/tce.2024.3351441","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4226483889","name":"From Digital Twins to Digital Selves and Beyond","source":"openalex","abstract":"This open access book explains the relation between cyber-physical systems and their digital representations with intertwined artificial intelligence.","url":"https://doi.org/10.1007/978-3-030-96412-2","authors":["Franz Barachini","Christian Stary"],"tags":["Computer science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-96412-2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4402300333","name":"Blockchain-Aided Digital Twin Offloading Mechanism in Space-Air-Ground Networks","source":"openalex","abstract":"Space-air-ground (SAG) integrated heterogenous networks can provide pervasive intelligence services for various ground users (GUs). The network can help cellular networks release network resources and alleviate congestion pressure. Moreover, one important application of the network is that digital twin (DT) can enable nearly-instant wireless connectivity and highly-reliable data mapping from physical systems to digital world in a real-time fashion. The integration of SAG and DT (SAG-DT) reduces the gap between data analysis and physical status, which can further realize robust edge intelligence services. However, the random computation task arrival, time-varying channel gains, and the lack of mutual trust among ground GUs hinder better quality of service in the promising SAG-DT network. In this paper, we envision a SAG-DT integrated blockchain model to transfer the task data to the aerial network, and then perform the computation offloading, energy harvesting and privacy protection. Moreover, we propose a Lyapunov-aided multi-agent deep federated reinforcement learning (MADFRL) algorithm framework to optimize the CPU cycle frequency, the size of block, the number of DTs, and harvested energy to minimize the execution costs and privacy overhead. Extensive performance analyses indicate that the MADFRL algorithm framework can strengthen the data privacy via blockchain verification mechanism and approaches the optimal performance on the basis of lower computation complexity. Finally, simulation results corroborate that the proposed Lyapunov-aided MADFRL algorithm is superior to advanced benchmarks in terms of execution costs, task processing quantities and privacy overhead.","url":"https://doi.org/10.1109/tmc.2024.3455417","authors":["Yongkang Gong","Haipeng Yao","Zehui Xiong","C. L. Philip Chen","Dusit Niyato"],"tags":["Computer science","Mechanism (biology)","Computer network","Space (punctuation)","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-06","doi":"https://doi.org/10.1109/tmc.2024.3455417","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3209067791","name":"Realizing A Digital Twin of An Organization Using Action-oriented Process Mining","source":"openalex","abstract":"A Digital Twin of an Organization (DTO) is a mirrored representation of an organization, aiming to improve the business process of the organization by providing a transparent view over the process and automating management actions to deal with existing and potential risks. Unlike wide applications of digital twins to product design and predictive maintenance, no concrete realizations of DTOs for business process improvement have been studied. In this work, we aim to realize DTOs using action-oriented process mining, a collection of techniques to evaluate violations of constraints and produce the required actions. To this end, we suggest a digital twin interface model as a transparent representation of an organization describing the current state of business processes and possible configurations in underlying information systems. By interacting with the representation, process analysts can elicit constraints and actions that will be continuously monitored and triggered by an action engine to improve business processes. We have implemented a web service to support it and evaluated the feasibility of the proposed approach by conducting a case study using an artificial information system supporting an order handling process.","url":"https://doi.org/10.1109/icpm53251.2021.9576846","authors":["Gyunam Park","Wil M. P. van der Aalst"],"tags":["Computer science","Business process","Process (computing)","Representation (politics)","Business process modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-25","doi":"https://doi.org/10.1109/icpm53251.2021.9576846","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4403559458","name":"The digital twin framework: A roadmap to the development of user- centred digital twin in the built environment","source":"openalex","abstract":"With the prompt digital revolution in architecture, engineering, and construction (AEC), it is crucial to set the early practical steps for advanced digital technology namely digital twin technology. Although theoretical evidence on the potential of digital twins exists in AEC scope, the practical framework to the construction and operation of user-centred digital twin is yet to be investigated. Hence, this applied research investigates systematic methods and techniques for the construction and enablement of a user-centred digital twin paving the way to advanced digital applications in AEC centred on the user of the built environment. As a result, the framework unleashes a systematic roadmap to the creation and development of a city-scale digital twin centred on the human and capable of describing, analyzing, and assessing a built context per its users and usability manner. Further, the framework pours the foundations for a spectrum of digital twin applications in the scope of architectural design, building construction, infrastructure engineering, and facility management. The production of this research is foreseen to outline a systematic and transferable framework for the construction and enablement of a user-centred digital twin. • This research article develops a user-centred digital twin framework. • It examines the reconstruction of a city-scale built environment. • It develops Level 3 digital twin able to describe a built environment in real-time. • It investigates the implementation of human-centric digital twin applications. • It examines the potential of user-centred digital twin approach.","url":"https://doi.org/10.1016/j.jobe.2024.111081","authors":["Zaid Osama"],"tags":["Human–computer interaction","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-19","doi":"https://doi.org/10.1016/j.jobe.2024.111081","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4319071425","name":"Digital twin for Industrial Internet","source":"openalex","abstract":"Industrial Internet upgrades the traditional industrial manufacturing to digitization, networking and intellectualization era, which calls for brand-new technology supports. As a promising solution, the emergence Digital Twin (DT) offers enhanced digital mapping capability with strong feasibility, security, economic and intelligence, which fits well with the concept of Industrial Internet. In this paper, we focus on establishing a new reference architecture of DT to support the development of Industrial Internet. It is composed of three interdependent layers (i.e., physical layer, DT layer and DT networks layer) and four critical attributes (i.e., privacy, security, awareness and real-time). We illustrate our perspectives for the functionality and relationship of the three layers, and features and feasible solutions of the four attributes. With those efforts, the proposed DT architecture can provide both smart manufacturing and networked services for Industrial Internet era. Moreover, we also illustrate the relevant and open challenges. Finally, the conclusion and future perspective are pointed out.","url":"https://doi.org/10.1016/j.fmre.2023.01.005","authors":["Yushuai Li","Yan Zhang"],"tags":["Intellectualization","Digitization","The Internet","Industrial Internet","Interdependence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-03","doi":"https://doi.org/10.1016/j.fmre.2023.01.005","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3217468962","name":"Application of the Digital Twin for in process monitoring of the micro injection moulding process quality","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compind.2021.103568","authors":["Gianfranco E. Modoni","Benedetta Stampone","Gianluca Trotta"],"tags":["Process (computing)","Injection moulding","Correctness","Quality (philosophy)","Miniaturization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-19","doi":"https://doi.org/10.1016/j.compind.2021.103568","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2980063107","name":"Multi-modelling and Co-simulation in the Engineering of Cyber-Physical Systems: Towards the Digital Twin","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-30985-5_4","authors":["John Fitzgerald","Peter Gorm Larsen","Ken Pierce"],"tags":["Dependability","Toolchain","Computer science","Cyber-physical system","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1007/978-3-030-30985-5_4","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4396980172","name":"Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.asoc.2024.111760","authors":["Zheng Wu","Chi Ma","Lang Zhang","Hongquan Gui","Jialan Liu","Zijie Liu"],"tags":["Computer science","Sample (material)","Data mining","Machine learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-16","doi":"https://doi.org/10.1016/j.asoc.2024.111760","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4281714752","name":"A monitoring and diagnostics method based on FPGA-digital twin for power electronic transformer","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.epsr.2022.108111","authors":["Jiawang Xiong","Hua Ye","Wei Pei","Li Kong","Qunhai Huo","Yijiang Han"],"tags":["Field-programmable gate array","Correctness","Computer science","Embedded system","Transformer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-07","doi":"https://doi.org/10.1016/j.epsr.2022.108111","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4414702782","name":"Large language models forecast patient health trajectories enabling digital twins","source":"openalex","abstract":"Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin-Generative Pretrained Transformer (DT-GPT), extending LLM-based forecasting solutions to clinical trajectory prediction. DT-GPT leverages electronic health records without requiring data imputation or normalization and overcomes real-world data challenges such as missingness, noise, and limited sample sizes. Benchmarking on non-small cell lung cancer, intensive care unit, and Alzheimer's disease datasets, DT-GPT outperformed state-of-the-art machine learning models, reducing the scaled mean absolute error by 3.4%, 1.3% and 1.8%, respectively. It maintained distributions and cross-correlations of clinical variables, and demonstrated explainability through a human-interpretable interface. Additionally, DT-GPT's ability to perform zero-shot forecasting highlights potential advantages of LLMs as clinical forecasting platforms, proposing a path towards digital twin applications in clinical trials, treatment selection, and adverse event mitigation.","url":"https://doi.org/10.1038/s41746-025-02004-3","authors":["Nikita Makarov","Maria Bordukova","Papichaya Quengdaeng","Dániel Garger","Raul Rodriguez‐Esteban","Fabian Schmich","Michael P. Menden"],"tags":["Computer science","Artificial intelligence","Machine learning","Benchmarking","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-01","doi":"https://doi.org/10.1038/s41746-025-02004-3","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W2912966650","name":"Applications of Digital Twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-12-817630-6.00002-3","authors":["Fei Tao","Meng Zhang","A.Y.C. Nee"],"tags":["Aerospace","Automotive industry","Product (mathematics)","Engineering","Product lifecycle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/b978-0-12-817630-6.00002-3","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4200041379","name":"Efficient Authentication for Vehicular Digital Twin Communications","source":"openalex","abstract":"Autonomous vehicles(AVs) have developed rapidly in recent years and derived many AV-related services. However, the stringent requirement of real-time sensing, computing, and communication may severely overload the AV, resulting in a poor passenger experience. In this work, we leverage the digital twin(DT) concept to help the information fusion and computing for AV, propose a vehicular digital twin(VDT) framework. Specifically, DT is maintained in the cloud and synchronized with its corresponding AV in real-time. AV uploads necessary information to the DT, and DT makes feedback through processing and analysis. The DT can also communicate with other DTs to obtain information. Due to the real-time information synchronization of AV and DT in an open communication environment, ensuring communication security and protect privacy is needed. To tackle those issues, we give a concrete authentication protocol for secure communication between AV and DT. The security analysis and performance evaluation show that our proposed protocol not only has less computation cost but also can satisfy the necessary security requirements.","url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625518","authors":["Jing Xu","Chao He","Tom H. Luan"],"tags":["Computer science","Upload","Leverage (statistics)","Authentication (law)","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-01","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625518","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4389203599","name":"Reshaping the Digital Twin Construct with Levels of Digital Twinning (LoDT)","source":"openalex","abstract":"While digital twins (DTs) have achieved significant visibility, they continue to face a problem of lack of harmonisation regarding their interpretation and definition. This diverse and interchangeable use of terms makes it challenging for scientific activities to take place and for organisations to grasp the existing opportunities and how can these benefit their businesses. This article aims to shift the focus away from debating a definition for a DT. Instead, it proposes a conceptual approach to the digital twinning of engineering physical assets as an ongoing process with variable complexity and evolutionary capacity over time. To accomplish this, the article presents a functional architecture of digital twinning, grounded in the foundational elements of the DT, to reflect the various forms and levels of digital twinning (LoDT) of physical assets throughout their life cycles. Furthermore, this work presents UNI-TWIN—a unified model to assist organisations in assessing the LoDT of their assets and to support investment planning decisions. Three case studies from the road and rail sector validate its applicability. UNI-TWIN helps to redirect the discussion around DTs and emphasise the opportunities and challenges presented by the diverse realities of digital twinning, namely in the context of engineering asset management.","url":"https://doi.org/10.3390/asi6060114","authors":["João Vieira","João Poças Martins","N. Almeida","Hugo Patrício","João Morgado"],"tags":["Context (archaeology)","Construct (python library)","Crystal twinning","Asset (computer security)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-30","doi":"https://doi.org/10.3390/asi6060114","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4281396815","name":"Digital Twin Application in Healthcare Facilities Management","source":"openalex","abstract":"Healthcare facilities are essential in providing health, and as a result, they require effective facilities management systems. Unfortunately, current approaches to healthcare facilities management (FM) are based on “if it breaks, we fix it” approach. This is due to the lack of effective real-time information update and bi-directional coordination to monitor, manage, and control critical healthcare facilities. Thus, there is a need in ensuring a preventive maintenance approach. This research investigates the extent to which healthcare facilities management can be enhanced using digital twin technology. Digital twin (DT) enables the virtual representation of a physical asset and all the instances using real-time information. DT collects data from physical assets in real-time and uses the data to create virtual models of the physical objects. This research employs a set of methods such as literature review and interviews to address its objectives. The study further identified issues with critical healthcare facilities amenable to digital twin approach, reviews digital twin enabling technologies, and presents a system architecture for DT application in healthcare facilities management. The research concludes with a discussion of the potential benefits of DT application in healthcare facilities management.","url":"https://doi.org/10.1061/9780784483893.046","authors":["Obinna C. Madubuike","Chimay Anumba"],"tags":["Health care","Computer science","Asset (computer security)","Digital health","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-24","doi":"https://doi.org/10.1061/9780784483893.046","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2803713909","name":"A DIGITAL TWIN FOR ROOT CAUSE ANALYSIS AND PRODUCT QUALITY MONITORING","source":"openalex","abstract":"Mass customization and increasing product complexity require new methods to ensure a continuously high product quality. In the case of product failures it has to be determined what distinguishes flawed products. The data generated by cybertronic products over their lifecycle offers new possibilities to find such distinctions. To manage this data for individual product instances the concept of a Digital Twin has been proposed. This paper introduces the elements of a Digital Twin for root cause analysis and product quality monitoring and suggests a data structure that enables data analytics.","url":"https://doi.org/10.21278/idc.2018.0418","authors":["Alexander Detzner","Martin Eigner"],"tags":["Root cause analysis","Computer science","Product (mathematics)","Quality (philosophy)","Mass customization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.21278/idc.2018.0418","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2955852221","name":"Challenges in Digital Twin Development for Cyber-Physical Production Systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-23703-5_2","authors":["Heejong Park","Arvind Easwaran","Sidharta Andalam"],"tags":["Computer science","Key (lock)","Production (economics)","Cyber-physical system","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1007/978-3-030-23703-5_2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2991369079","name":"Digital twin technology for “smart manufacturing”","source":"openalex","abstract":"","url":"https://doi.org/10.1016/bs.adcom.2019.10.009","authors":["Preetha Evangeline David","Anandhakumar"],"tags":["Smart manufacturing","Analytics","Value (mathematics)","Process (computing)","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-27","doi":"https://doi.org/10.1016/bs.adcom.2019.10.009","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4405584294","name":"Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy","source":"openalex","abstract":"Artificial intelligence (AI)-based digital patient twins have the potential to make breakthroughs in research and clinical practices in rehabilitation. They make it possible to personalise treatment plans by simulating different rehabilitation scenarios and predicting patient-specific outcomes. DTs can continuously monitor a patient’s progress, adjusting therapy in real time to optimise recovery. They also facilitate remote rehabilitation by providing virtual models that therapists can use to guide patients without having to be physically present. Digital twins (DTs) can help identify potential complications or failures at an early stage, enabling proactive interventions. They also support the training of rehabilitation professionals by offering realistic simulations of different patient conditions. They can also increase patient engagement by visualising progress and potential future outcomes, motivating adherence to therapy. They enable the integration of multidisciplinary care, providing a common platform for different professionals to collaborate and improve rehabilitation strategies. The article aims to trace the current state of knowledge, research priorities, and research gaps in order to properly guide further research and shape decision support in rehabilitation.","url":"https://doi.org/10.3390/electronics13244994","authors":["Emilia Mikołajewska","Jolanta Masiak","Dariusz Mikołajewski"],"tags":["Rehabilitation","Decision support system","Computer science","Artificial intelligence","Physical medicine and rehabilitation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-19","doi":"https://doi.org/10.3390/electronics13244994","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4380685702","name":"Digital-Twin-Driven AGV Scheduling and Routing in Automated Container Terminals","source":"openalex","abstract":"Automated guided vehicle (AGV) scheduling and routing are critical factors affecting the operation efficiency and transportation cost of the automated container terminal (ACT). Searching for the optimal AGV scheduling and routing plan are effective and efficient ways to improve its efficiency and reduce its cost. However, uncertainties in the physical environment of ACT can make it challenging to determine the optimal scheduling and routing plan. This paper presents the digital-twin-driven AGV scheduling and routing framework, aiming to deal with uncertainties in ACT. By introducing the digital twin, uncertain factors can be detected and handled through the interaction and fusion of physical and virtual spaces. The improved artificial fish swarm algorithm Dijkstra (IAFSA-Dijkstra) is proposed for the optimal AGV scheduling and routing solution, which will be verified in the virtual space and further fed back to the real world to guide actual AGV transport. Then, a twin-data-driven conflict prediction method is proposed to predict potential conflicts by constantly comparing the differences between physical and virtual ACT. Further, a conflict resolution method based on the Yen algorithm is explored to resolve predicted conflicts and drive the evolution of the scheme. Case study examples show that the proposed method can effectively improve efficiency and reduce the cost of AGV scheduling and routing in ACT.","url":"https://doi.org/10.3390/math11122678","authors":["Ping Lou","Yutong Zhong","Jiwei Hu","Chuannian Fan","Xiao Chen"],"tags":["Computer science","Scheduling (production processes)","Dijkstra's algorithm","Distributed computing","Dynamic priority scheduling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-13","doi":"https://doi.org/10.3390/math11122678","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3187689451","name":"Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization","source":"openalex","abstract":"Power electronic circuits have been widely used in various fields, and the requirements for their stability and reliability has increased. Therefore, a degradation parameters identification method of the DC-DC power converters is proposed. The main idea of this method is to use a digital twin to build a DC-DC converter. Under steady and transient operating conditions, the power electronic circuits are simulated to deduce the law of output voltage and inductance current variation of the boost and buck converter, and the operation state of the physical entity is estimated. Degradation characteristic parameters, such as capacitance, inductance, parasitic resistance, and MOSFET on-state resistance, are selected and identified based on the Bayesian optimization. The simulation results verify the validity of the method.","url":"https://doi.org/10.1109/icphm51084.2021.9486446","authors":["Shaowei Chen","Shengyue Wang","Pengfei Wen","Shuai Zhao"],"tags":["Converters","Inductance","Transient (computer programming)","Power MOSFET","Electronic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-07","doi":"https://doi.org/10.1109/icphm51084.2021.9486446","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2941747717","name":"The Digital Twin: Virtual Validation In Electronics Development And Design","source":"openalex","abstract":"Product development is increasingly challenging. Competition demands that ideas be evolved from concept to products shipping into the marketplace in the shortest possible time. Markets are demanding more from technologies. To meet these demands, engineers must utilize the most advanced capabilities that are available. Engineers must minimize time and cost to speed design, development, validation and release to manufacturing. increasing complexities in physical products. Electronics has led the way in feature growth and complexities. Additionally, software magnifies complexities exponentially. Traditional methods of bringing products from concept to production cannot provide the means engineers need to meet the challenges. Computer-based models of physical hardware are critical to meeting current and future challenges. This presentation discusses the promise of the so-called “Digital Twin” and how it may facilitate virtual validation of hardware to facilitate rapid development at least cost in time and manpower while achieving optimized designs by way of “virtual validation”. Discussion regarding digital twins has risen to the forefront as the way of the future. This paper will also identify primary challenges that proponents and visionaries of this concept have cited as the major hurtles that must be overcome.","url":"https://doi.org/10.23919/panpacific.2019.8696712","authors":["Dwight Howard"],"tags":["Computer science","New product development","Electronics","Presentation (obstetrics)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-02-01","doi":"https://doi.org/10.23919/panpacific.2019.8696712","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4389105099","name":"A Federated Digital Twin Framework for UAVs-Based Mobile Scenarios","source":"openalex","abstract":"With the development of communication networks and Artificial Intelligence (AI) technologies, Digital Twin (DT) now emerges to support various applications such as engineering, monitoring, controlling, healthcare and the optimization of cyber-physical systems. There is an increasing demand to create DTs that can represent physical entities for improving operational efficiency. A conventional DT consists of monitoring, imitation, and feedback control. However, conventional DTs cannot ensure efficient real-time imitation due to the high dynamics of physical systems such as UAV-based target tracking scenario. To address this issue, we propose a federated DT framework to support the imitation of mobile systems. It can guarantee real-time and accurate imitations under the prerequisite of comprehensive information acquired by a cooperative collection algorithm with the aid of UAVs. The framework can rapidly aggregate local DT models using an attention-based mechanism to improve mobile imitation accuracy. Additionally, we propose a multimodal-based DT inspection algorithm that can correct the postures of UAVs affected by winds for reliable imitations. We implement the framework in Gazebo. Our system simulations demonstrate the efficiency of the proposed federated DT framework. Our solution can reduce the imitation latency by an average of 68.4%, meanwhile, can improve the imitation accuracy by 16.4% on average when compared to traditional centralized and distributed imitation schemes.","url":"https://doi.org/10.1109/tmc.2023.3335386","authors":["Longyu Zhou","Supeng Leng","Qing Wang"],"tags":["Computer science","Imitation","Distributed computing","Latency (audio)","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-28","doi":"https://doi.org/10.1109/tmc.2023.3335386","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4365801565","name":"Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients","source":"openalex","abstract":"The deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). The digital twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from the physical asset, representing its real-world behavior. However, DTs use passive internet of things (IoT) sensors, which limit their potential to a specific location or entity. This problem can be addressed by using the internet of robotic things (IoRT), which combines robotics and IoT, allowing the robotic things (RTs) to navigate in a particular environment and connect to IoT devices in the vicinity. Implementing DTs in IoRT, creates a virtual replica (virtual twin) that receives real-time data from the physical RT (physical twin) to mirror its status. However, DTs require a user interface for real-time interaction and visualization. Virtual reality (VR) can be used as an interface due to its natural ability to visualize and interact with DTs. This research proposes a real-time system for RHM of COVID-19 patients using the DTs-based IoRT and VR-based user interface. It also presents and evaluates robot navigation performance, which is vital for remote monitoring. The virtual twin (VT) operates the physical twin (PT) in the real environment (RE), which collects data from the patient-mounted sensors and transmits it to the control service to visualize in VR for medical examination. The system prevents direct interaction of medical staff with contaminated patients, protecting them from infection and stress. The experimental results verify the monitoring data quality (accuracy, completeness, timeliness) and high accuracy of PT’s navigation.","url":"https://doi.org/10.1109/jiot.2023.3267171","authors":["Sangeen Khan","Sehat Ullah","Habib Ullah Khan","Inam Ur Rehman"],"tags":["Computer science","Visualization","Interface (matter)","Virtual reality","Replica"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-14","doi":"https://doi.org/10.1109/jiot.2023.3267171","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4409222030","name":"Integrating Digital Twins and Machine Learning for Advanced Control in Green Hydrogen Production","source":"openalex","abstract":"The successful reduction of carbon emissions in major sectors such as heavy industry and long-distance transport depends crucially on the ability to produce green hydrogen on a large scale. This involves generating hydrogen via water electrolysis, utilizing power sourced from renewable energies. However, persistent challenges, such as dynamic inefficiencies, material degradation, and renewable intermittency, demand a paradigm shift from static control strategies to adaptive, self-optimizing systems. This perspective argues that the synergistic integration of digital twins (DTs) and machine learning (ML) offers a transformative framework for real-time optimization, predictive maintenance, and resilient grid integration. By synthesizing physics-based modeling with data-driven intelligence, DT-ML systems enable closed-loop control architectures that dynamically adapt to operational uncertainties. We analyze the technical foundations of this integration, address critical barriers, and propose actionable pathways for stakeholders to accelerate the hydrogen economy's transition from promise to practice.","url":"https://doi.org/10.23919/chain.2025.000003","authors":["Zhiming Feng","Yue Luo","Da Li","Jianxin Pan","Rui Tan","Yi Chen"],"tags":["Production (economics)","Hydrogen production","Control (management)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.23919/chain.2025.000003","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3004998292","name":"Using open-source microcontrollers to enable digital twin communication for smart manufacturing","source":"openalex","abstract":"One of the key enabling technologies for the smart factory is the Digital Twin, which can be described as a digital model of a physical entity. In smart manufacturing, a digital twin, also referred to as a cyber-physical production system, comprises three integrated components: the product, the process and the machine. In this paper, the design, fabrication and development of a proof of principal manufacturing digital twin demonstrator is discussed. The manufacturing process is a V-bending operation of a thin metallic plate. All three components of a manufacturing digital twin are represented: the metallic plate product, the bending process and the bending machine. Low-cost, IoT-enabled, open-source microcontrollers are used to communicate between the physical and the digital twins. The microcontroller is used to control machine operations, while also extracting sensor data from the system. It is demonstrated that the digital twin enables real-time stress prediction in the product during the bending process, while also tracking and recording machine performance. An information dashboard has also been developed which presents key performance indicators to the end user.","url":"https://doi.org/10.1016/j.promfg.2020.01.212","authors":["Eoin P. Hinchy","Noel P. O’Dowd","C.T. McCarthy"],"tags":["Microcontroller","Key (lock)","Process (computing)","Engineering","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.promfg.2020.01.212","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4224040720","name":"Evaluation of Production of Digital Twins Based on Blockchain Technology","source":"openalex","abstract":"A blockchain, as a form of distributed ledger technology, represents the unanimity of replication, synchronization, and sharing of data among various geographical sites. Blockchains have demonstrated impressive and effective applications throughout many aspects of the business. Blockchain technology can lead to the advent of the construction of Digital Twins (DTs). DTs involve the real representation of physical devices digitally as a virtual representation of both elements and dynamics prior to the building and deployment of actual devices. DT products can be built using blockchain-based technology in order to achieve sustainability. The technology of DT is one of the emerging novel technologies of Industry 4.0, along with artificial intelligence (AI) and the Internet of Things (IoT). Therefore, the present study adopts intelligent decision-making techniques to conduct a biased analysis of the drivers, barriers, and risks involved in applying blockchain technologies to the sustainable production of DTs. The proposed model illustrates the use of neutrosophic theory to handle the uncertain conditions of real-life situations and the indeterminate cases evolved in decision-makers’ judgments and perspectives. In addition, the model applies the analysis of Multi-criteria Decision Making (MCDM) methods through the use of ordered weighted averaging (OWA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to achieve optimal rankings for DT production providers based on consistent weighted decision-maker’s judgments in order to maintain and to assure sustainability. An empirical study is applied to the uncertain environment to aid decision-makers in achieving ideal decisions for DT providers with respect to various DT challenges, promoting sustainability and determining the best service providers. The Monte Carlo simulation method is used to illustrate, predict, and forecast the importance of the weights of decision-makers’ judgments as well as the direct impact on the sustainability of DT production.","url":"https://doi.org/10.3390/electronics11081268","authors":["Nada A. Nabeeh","Mohamed Abdel‐Basset","Abduallah Gamal","Victor Chang"],"tags":["Computer science","TOPSIS","Production (economics)","Blockchain","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-17","doi":"https://doi.org/10.3390/electronics11081268","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4294168020","name":"A digital twin framework for online optimization of supply chain business processes","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compchemeng.2022.107972","authors":["Héctor D. Pérez","John M. Wassick","Ignacio E. Grossmann"],"tags":["Computer science","Replica","Supply chain","Task (project management)","Mode (computer interface)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-02","doi":"https://doi.org/10.1016/j.compchemeng.2022.107972","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4293210161","name":"Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment","source":"openalex","abstract":"Public participation is crucial in promoting built environment quality. By using Nancuiping park in China as a case study, this research brings attention to the digital twin park compared to the physical replica in a participatory workshop. Using UAV oblique photography, we created a digital twin model of this park and divided it into six layers to better manage and analyze the environment. Bracing the ‘bottom-up’ design philosophy, in the workshop, we analyzed existing issues in the park and simulated built environment changes, taking suggestions and comments from participants into account to support the decision-making of the park’s optimization. Our digital twin model and physical replica were assessed through a questionnaire in which 59 participants used 3 defined indicators: usability, interactivity, and scenario simulation and visualization quality. The results suggest that the physical replica is easier to use in the participatory design. However, the digital twin model can provide better interactivity and efficient scene simulation and visualization quality. The statistical analysis of the relationship between participants’ feedback on the two models and their sociodemographics (age, gender, and education background) shows that age is a barrier to promoting digital twins for older participants. Meanwhile, the digital twin’s highly interactive features and high-resolution visualization capability were attractive to the younger and well-educated participants. Our study indicates future directions to improve the urban digital twin by incorporating human feedback into the urban model, thus establishing a two-way interaction between the digital system, the physical environment, and human perceptions.","url":"https://doi.org/10.3390/ijgi11080452","authors":["Junjie Luo","Pengyuan Liu","Lei Cao"],"tags":["Replica","Interactivity","Built environment","Computer science","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-19","doi":"https://doi.org/10.3390/ijgi11080452","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4283705213","name":"Trusting Digital Twins","source":"openalex","abstract":"A digital twin is a virtual representation of real-world entities and processes synchronized at a specified frequency and fidelity. This new technology has the same trust concerns as do other systems, and we explore them here.","url":"https://doi.org/10.1109/mc.2022.3149448","authors":["Phil Laplante"],"tags":["Computer science","Representation (politics)","Fidelity","Human–computer interaction","Virtual world"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-28","doi":"https://doi.org/10.1109/mc.2022.3149448","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4200044827","name":"A Digital Twin Architecture Model Applied with MLOps Techniques to Improve Short-Term Energy Consumption Prediction","source":"openalex","abstract":"Using extensive databases and known algorithms to predict short-term energy consumption comprises most computational solutions based on artificial intelligence today. State-of-the-art approaches validate their prediction models in offline environments that disregard automation, quality monitoring, and retraining challenges present in online scenarios. The existing demand response initiatives lack personalization, thus not engaging consumers. Obtaining specific and valuable recommendations is difficult for most digital platforms due to their solution pattern: extensive database, specialized algorithms, and using profiles with similar aspects. The challenges and present personalization tactics have been researched by adopting a digital twin model. This study creates a different approach by adding structural topology to build a new category of recommendation platform using the digital twin model with real-time data collected by IoT sensors to improve machine learning methods. A residential study case with 31 IoT smart meter and smart plug devices with 19-month data (measurements performed each second) validated Digital Twin MLOps architecture for personalized demand response suggestions based on online short-term energy consumption prediction.","url":"https://doi.org/10.3390/machines10010023","authors":["Tiago Yukio Fujii","Victor Takashi Hayashi","Reginaldo Arakaki","Wilson Vicente Ruggiero","Romeo Bulla","Fabio Hirotsugu Hayashi","Khalil Ahmad Khalil"],"tags":["Computer science","Retraining","Personalization","Energy consumption","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-28","doi":"https://doi.org/10.3390/machines10010023","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2901813363","name":"SIMULATION AS THE BASIS OF DIGITAL TWIN TECHNOLOGY","source":"openalex","abstract":"The PURPOSE of the study is evaluation of the role and significance of simulation models in digital twin construction and operation. METHODS. The main research methods are system analysis and methodology, techniques and construction methods of simulation models. RESULTS. Having analyzed the technologies for digital twin creation and use, the author shows that simulation models form the basis for their existence. The information technology used in this case is a tool providing digital twin operation but it is not a determining factor. The quality of the constructed simulation model determines the efficiency of digital twin technology creation, use and development. CONCLUSION. To improve the quality of a digital twin simulation core a list of problems that need to be solved is formulated. They include automation of statistical analysis of time series, which is completed with an intuitive explanation of analysis results and generation of the sets of random numbers with certain probabilistic properties; development of quality assessment methods of the selected tools of simulation modeling; creation of quality assessment methods for digital twin core transformation in the process of its modernization based on the results of field operation and formation of methodology, methods, algorithmic tools and software; creation of digital twins of poorly formalized systems.","url":"https://doi.org/10.21285/1814-3520-2018-10-56-66","authors":["A. P. Petrov"],"tags":["Computer science","Quality (philosophy)","Basis (linear algebra)","Process (computing)","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-10-01","doi":"https://doi.org/10.21285/1814-3520-2018-10-56-66","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4307591916","name":"Artificial intelligence based tool condition monitoring for digital twins and industry 4.0 applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12008-022-01050-5","authors":["Padmakumar Muthuswamy","K. Shunmugesh"],"tags":["Machining","Automation","Process (computing)","Task (project management)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-29","doi":"https://doi.org/10.1007/s12008-022-01050-5","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4221051175","name":"Digital Twin‐Based Investigation of a Building Collapse Accident","source":"openalex","abstract":"The collapse of engineering structures can cause significant casualties and have negative social effects. Collapse accident investigation can elucidate the potential causes and mechanisms of the collapse accident, thus remediating future structural collapse and enhancing the resilience. However, there are some obstacles to investigating complicated collapse accidents using conventional methods. For example, the out‐syncs between on‐site investigation and simulation analysis are intractable and can make discovering the cause of collapse accidents difficult. Hence, a digital twin‐based investigation method for collapse accidents was proposed. First, basic virtual digital building models are established using real‐world information. Then, after mapping the data from the real world into the virtual space, the corresponding highly realistic multistage models before and after the building collapse accident are constructed and synchronized. Using the digital twin method, investigators with multidisciplinary knowledge can efficiently integrate, update, and check the models. Finally, the potential collapse mechanism was revealed with the assistance of the corresponding models. To demonstrate the effectiveness of the proposed digital twin‐based investigation method, a real collapse accident investigation is utilized as an example. These results validated our method.","url":"https://doi.org/10.1155/2022/9568967","authors":["Zhe Zheng","Wenjie Liao","Jia‐Rui Lin","Yucheng Zhou","Chi Zhang","Xinzheng Lu"],"tags":["Accident (philosophy)","Computer science","Progressive collapse","Resilience (materials science)","Accident investigation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1155/2022/9568967","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2586961950","name":"The Development and use of a Digital Twin Model for Tire Touchdown Health Monitoring","source":"openalex","abstract":"","url":"https://doi.org/10.2514/6.2017-0863","authors":["Andrew J. Zakrajsek","S. Mall"],"tags":["Touchdown","Computer science","Simulation","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-01-05","doi":"https://doi.org/10.2514/6.2017-0863","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3202538430","name":"A Systematic Network Traffic Emulation Framework for Digital Twin Network","source":"openalex","abstract":"Digital twin network has gradually become an important tool platform for network management and optimization. With bandwidth growing larger and speed getting higher in physical network, how to efficiently and accurately emulate network traffic in digital twin network is an important research problem. This paper proposes a complete flow emulation framework for digital twin network for the first time, which leverages unified ID and deterministic network technology to keep physical network traffic in consistency with that in digital twin network. Aiming at growing bandwidth, we use flow sampling to reduce large transmission data. Furthermore, we describe in detail an application case based on the proposed traffic emulation framework, namely, network delay measurement. Analysis results show that our proposal can achieve high delay measurement accuracy without affecting the physical network.","url":"https://doi.org/10.1109/dtpi52967.2021.9540090","authors":["Hongwei Yang","Yang Li","Kehan Yao","Tao Sun","Cheng Zhou"],"tags":["Emulation","Computer science","Network traffic control","Network simulation","Network delay"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-15","doi":"https://doi.org/10.1109/dtpi52967.2021.9540090","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4385628208","name":"A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2023.07.016","authors":["Zhexin Cui","Xiaolang Yang","Jiguang Yue","Xuemei Liu","Wei Tao","Qian Xia","Chenhao Wu"],"tags":["Product lifecycle","Application lifecycle management","Context (archaeology)","Key (lock)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-07","doi":"https://doi.org/10.1016/j.jmsy.2023.07.016","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4313399415","name":"In-situ observation virtual sensor in building systems toward virtual sensing-enabled digital twins","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.enbuild.2022.112766","authors":["Youngwoong Choi","Sungmin Yoon"],"tags":["Redundancy (engineering)","Calibration","Software deployment","Real-time computing","Digital sensors"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-31","doi":"https://doi.org/10.1016/j.enbuild.2022.112766","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3092370365","name":"Research on Construction Method of Digital Twin Workshop Based on Digital Twin Engine","source":"openalex","abstract":"The concept of the virtual workshop has been proposed for many years, and many companies have built their own virtual workshops for planning and simulation. But only virtual workshop cannot realize the interaction of the physical world and virtual world required for smart manufacturing. The digital twin workshop is a useful way to realize the fusion of virtual workshop and physical workshop, and optimizes the activities. This paper studies the concept of digital twin workshop, and digital twin workshop is divided into three parts: virtual workshop, physical workshop and digital twin engine. At the same time, this paper emphatically analyzes the definition and function of the digital twin engine in the digital twin workshop system, and also proposes an architecture for building the digital twin workshop based on the virtual workshop models. Finally, taking the implementation of digital twin workshop of an intelligent manufacturing unit as an example, the effectiveness and functionality of the digital twin workshop of an intelligent manufacturing unit are verified based on the digital twin engine.","url":"https://doi.org/10.1109/aeeca49918.2020.9213649","authors":["Luyao Xia","Jianfeng Lu","Hao Zhang"],"tags":["Computer science","Virtual reality","Engineering","Multimedia","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-01","doi":"https://doi.org/10.1109/aeeca49918.2020.9213649","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2913498512","name":"The Digital Twin Theory","source":"openalex","abstract":"Im digitalen Zwilling wird ein wesentliches Mittel für Produktivitätssteigerungen im Zeitalter der industriellen Digitalisierung gesehen. Daher beschäftigen sich zahlreiche Publikationen mit diesem Begriff. Dieser Beitrag zeigt zunächst die Ursprünge des Begriffs und setzt sich mit ausgewählten Definitionen auseinander. Diese unterstützen allerdings wenig bei der praktischen Implementierung von digitalen Zwillingen, da sich die Definitionen zum Teil stark unterscheiden. Als Alternative zu einer klassischen Definition wird daher ein Theoriemodell vorgeschlagen, das Annahmen über den digitalen Zwilling enthält. Dieser neuartige Denkansatz soll helfen, das Management von digitalen Zwillingen in der Praxis zu verbessern.","url":"https://doi.org/10.30844/i40m_19-1_s27-30","authors":["Andreas Deuter","Florian Pethig","Fraunhofer IOSB-INA, Lemgo"],"tags":["Political science","Humanities","Philosophy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-23","doi":"https://doi.org/10.30844/i40m_19-1_s27-30","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3158273617","name":"A survey on new trends of digital twin technology for power systems","source":"openalex","abstract":"Recently, the Digital Twin (DT) technology, which joints the physical environment and virtual space, has drawn more attention in industry and research academic plans. In general, the virtual model representations of the physical objects are created in the DT manner to simulates the characteristics and behaviors of the real-word system. Applying a supervisory system not only can reduce the failures of components, but also preserve the overall costs associated with the system at a minimum. This paper reviews the DT applications in the power system, while its advantages in wind turbines, solar panels, power electronic converter, and shipboard electrical system will be briefly discussed. The potential benefits of contemporary technologies to ameliorate the DT in the industry are studied. Besides, it provides a great technique to assess and analyze system performance. As a basis for DT, various new emerging developments as an example of artificial intelligence (AI), big data, the internet of things (IoT), and 5 G are reviewed.","url":"https://doi.org/10.3233/jifs-201885","authors":["Hooman Mohammadi Moghadam","Hossein Foroozan","Meysam Gheisarnejad","Mohammad Hassan Khooban"],"tags":["Computer science","Electric power system","The Internet","Big data","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-05","doi":"https://doi.org/10.3233/jifs-201885","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4404035562","name":"Cooperative Digital Twins for UAV-Based Scenarios","source":"openalex","abstract":"The advancement of 6G wireless communication technology and the rise of the Internet of things (IoT) has made digital twin (DT) a promising tool for unmanned aerial vehicles (UAVs)-based 6G applications such as intelligent logistics, management of smart cities, and autonomous driving. DT allows UAVs to imitate the status of physical entities in a virtual space for service provisions in the physical space. However, traditional DT solutions are challenging to accurately imitate and derive highly dynamic physical entities due to the limited computing resources of UAVs. To address this issue, we propose a cooperative DT framework to achieve a highly accurate and low-latency DT performance with a double-scale spatial DT manner. We first propose a UAV-based cooperative sensing algorithm to implement comprehensive data collection for building accurate small-scale spatial DT models. Then we propose an adaptive model parameter adjustment algorithm to improve the DT accuracy. Considering the high mobility of physical entities, we propose a model transfer algorithm to achieve a low-latency service provision. Finally, we demonstrate the effectiveness of our proposed framework using a case study of UAV-based multi-target tracking. The experiment results show that our solution achieves an accurate DT with a successful tracking ratio of up to 95 percent with a low system latency of under 1 second compared to traditional DT manners on average, respectively.","url":"https://doi.org/10.1109/mcom.001.2400207","authors":["Longyu Zhou","Supeng Leng","Qing Wang","Tony Q. S. Quek","Mohsen Guizani"],"tags":["Computer science","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-04","doi":"https://doi.org/10.1109/mcom.001.2400207","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3184746077","name":"Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program","source":"openalex","abstract":"Abstract The objective of this retrospective observational cohort study was to measure glycemic variability and reductions in body mass index (BMI), blood pressure (BP), and use of antihypertensive medications in type 2 diabetes (T2D) patients participating in the digital twin-enabled Twin Precision Treatment (TPT) Program. Study participants included 19 females and 45 males with T2D who chose to participate in the TPT Program and adhered to program protocols. Nine additional enrollees were excluded due to major program non-adherence. Enrollees were required to have adequate hepatic and renal function, no myocardial infarction, stroke, or angina ≤ 90 days before enrollment, and no history of ketoacidosis or major psychiatric disorders. The TPT program uses Digital Twin technology, machine learning algorithms, and precision nutrition to aid treatment of patients with T2D. Each study participant had ≥ 3 months of follow-up. Outcome measures included glucose percentage coefficient of variation (%CV), low blood glucose index (LBGI), high blood glucose index (HBGI), systolic and diastolic BP, number of antihypertensive medications, and BMI. Sixty-four patients participated in the program. Mean (± standard deviation) %CV, LBGI, and HBGI values were low (17.34 ± 4.35, 1.37 ± 1.37, and 2.13 ± 2.79, respectively) throughout the 90-day program. BMI decreased from 29.23 ± 5.83 at baseline to 27.43 ± 5.25 kg/m 2 . Systolic BP fell from 134.72 ± 17.73 to 124.58 ± 11.62 mm Hg. Diastolic BP decreased from 83.95 ± 10.20 to 80.33 ± 7.04 mm Hg. The percent of patients taking antihypertensive medications decreased from 35.9% at baseline to 4.7% at 90 days. During 90 days of the TPT Program, patients achieved low glycemic variability and significant reductions in BMI and BP. Antihypertensive medication use was eliminated in nearly all patients. Future research will focus on randomized case–control comparisons.","url":"https://doi.org/10.1038/s41598-021-94339-6","authors":["Paramesh Shamanna","Mala Dharmalingam","Rakesh Sahay","Jahangir Mohammed","Maluk Mohamed","Terrence Poon","Nathan L. Kleinman","Mohamed Thajudeen"],"tags":["Medicine","Blood pressure","Body mass index","Glycemic","Diabetes mellitus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-21","doi":"https://doi.org/10.1038/s41598-021-94339-6","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4307657928","name":"Digital twin of a continuous direct compression line for drug product and process design using a hybrid flowsheet modelling approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2022.122336","authors":["Marta Moreno-Benito","Kai T. Lee","Denis Kaydanov","Hugh Verrier","Daniel O. Blackwood","Pankaj Doshi"],"tags":["Rework","Quality by Design","Critical quality attributes","Pharmaceutical manufacturing","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-26","doi":"https://doi.org/10.1016/j.ijpharm.2022.122336","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3210361708","name":"DPART – A DIGITAL TWIN FRAMEWORK FOR THE MACHINING DOMAIN","source":"openalex","abstract":"Todays’ heterogeneous manufacturing environments and isolated manufacturing elements hinder the realization of a complete and data consistent digital twin. Against this background, an increased connectivity based on the Industrial Internet of Things (IIoT) might be the future key enabler for the digital twin. However, it requires each domain to transfer, rearrange and rethink their individual data solutions in a framework that is IIoT-ready. This paper presents an IIoT-based implementation of a digital twin framework for machining, enabling the creation of a complete and data consistent digital twin throughout process planning, manufacturing and quality assurance. Different use cases are introduced based on the example of a blade integrated disk for modern turbofan engines.","url":"https://doi.org/10.17973/mmsj.2021_11_2021168","authors":["Philipp Ganser","Tommy Venek","Viktor Rudel","Thomas Bergs"],"tags":["Enabling","Key (lock)","Computer science","Domain (mathematical analysis)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-25","doi":"https://doi.org/10.17973/mmsj.2021_11_2021168","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4289173968","name":"Digital twin implementation for performance improvement in process industries- A case study of food processing company","source":"openalex","abstract":"In recent years, the emerging Digital Twin (DT) paradigm under Industry 4.0 has been attracting more attention from both practitioners and academia due to its dynamic capabilities. Most DT studies are theoretical and deal with hypothetical analysis, whereas fewer studies are available on real-life empirical cases. Due to dynamic problem-solving capabilities, DT technologies are widely used in performance improvement analysis in food processing companies (FPC) despite limited implication’s for business strategies. Our study incorporates the DT technologies with an implementation case study on FPC and accomplishes the real-life problem of the food processing company (FPC). Moreover, the proposed DT research framework demonstrates the various DT implementation stages, such as strategic mapping and physical-virtual space replica, with rigorous analysis. The results show that DT enhances the existing system’s machine availability, allocation efficiency, technical efficiency, worker efficiency, utilization rate, effectiveness, step ratio, and throughput rate. The proposed physical-virtual interface model is executed using AnyLogic software with JAVA-enabled programming.","url":"https://doi.org/10.1080/00207543.2022.2104181","authors":["Pratik Maheshwari","Sachin Kamble","Amine Belhadi","Venkatesh Mani","Ashok K. Pundir"],"tags":["Computer science","Process (computing)","Software","Interface (matter)","Throughput"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-31","doi":"https://doi.org/10.1080/00207543.2022.2104181","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387914700","name":"DT-SFC-6G: Digital Twins Assisted Service Function Chains in Softwarized 6G Networks for Emerging V2 X","source":"openalex","abstract":"Vehicle-to-X (V2X) with specific user-defined performance metrics emerges as one vital application scenario in sixth generation (6G) networks. According to released reports and whitepapers, 6G networks are designed to have softwarization attributes. Through softwarization, tailored V2X services, constituted by softwarized (resource and function) blocks, can be deployed on top of underlying network appliances. Chaining these softwarized blocks in predefined order is abbreviated as service function chain (SFC). However, existing SFC studies are conducted on the assumption that no performance descending of network appliance exists. Due to inherent shortcomings of softwarization, the softwarized 6G network appliances will bring about performance descending, compared with dedicated hardware. Emerging digital twin (DT) technology paves one way for studying SFC placement and scheduling without worrying about performance descending. By creating a digital replica of softwarized 6G networks, tailored SFCs can be implemented efficiently. This article investigates the SFC placement and scheduling in DT-em-powered softwarized 6G networks for emerging V2X. First, a novel business model and a problem model are presented. Next, one framework design, abbreviated as DT-SFC-6G, is proposed, including all technical details. The DT-SFC-6G design guarantees to provide efficient placement and scheduling solution per SFC request and feedback SFC solution and digital replica's state to softwarized 6G networks in time. Furthermore, experimental work of DT-SFC-6G is conducted. A variety of SFC algorithms, inserted in the DT-SFC-6G design, are evaluated in order to highlight the feasibility and merits of DT-SFC-6G. Finally, three most promising directions of SFC in DT-empowered softwarized 6G networks are selected for discussions.","url":"https://doi.org/10.1109/mnet.009.2300028","authors":["Haotong Cao","Zhi Lin","Longxiang Yang","Jiangzhou Wang","Mohsen Guizani"],"tags":["Computer science","Chaining","Scheduling (production processes)","Replica","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-01","doi":"https://doi.org/10.1109/mnet.009.2300028","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2946897676","name":"Digital twins as a resource for design research","source":"openalex","abstract":"IoT products are embedded with sensors that transmit live data about their use and environment. A key challenge for designers is to gather useful insights from this data in order to accelerate product research, which can be time consuming and labour intensive. Through the Chatty Products dashboard we aim to explore how virtual representations of IoT products and their sensor data, also known as digital twins, can support insight gathering. This demo will present a series of Bluetooth IoT speakers, which are connected to the Chatty Products dashboard, a data exploration and visualisation research tool containing supervisory digital twins of the speakers. The project aims to visualise live data as it relates to the physical product in the wild, enabling contextual inquiry and supporting data exploration. The demo will promote a dialogue around how digital twins can be used to gather design insights based on live data.","url":"https://doi.org/10.1145/3321335.3329685","authors":["Daniel J. Burnett","James Thorp","Daniel Richards","Katerina Gorkovenko","Dave Murray-Rust"],"tags":["Dashboard","Computer science","Resource (disambiguation)","Bluetooth","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-30","doi":"https://doi.org/10.1145/3321335.3329685","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4389056599","name":"Research progress and prospect of digital twin in bridge engineering","source":"openalex","abstract":"The concept of digital twins in bridge engineering is still vague and even confused with the Bridge Information Model (BrIM). Therefore, this study provides a detailed review of 42 papers related to digital twins in bridge engineering, focusing on a proper definition, key features and creation techniques for bridge digital twin (BDT). The paper also compares BDT and BrIM from the perspectives of their elements, features, fidelity, services provided, and degree of development. The applications of BDT at different life cycle stages are identified, and the related technologies are analyzed in detail. The results show that the research clusters of BDT are divided into geometric model generation, finite element model updating, and management and are focused on the operation and maintenance phase while lacking attention in the design and construction phase. Besides, a reference framework of BDT based on the life cycle of bridges is proposed, and directions for future research are suggested.","url":"https://doi.org/10.1177/13694332231218764","authors":["Yuanliang Yang","Yichen Zhu","C.S. Cai"],"tags":["Bridge (graph theory)","Key (lock)","Fidelity","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-27","doi":"https://doi.org/10.1177/13694332231218764","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4385703369","name":"Digital twin model for chiller fault diagnosis based on SSAE and transfer learning","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.buildenv.2023.110718","authors":["Xin Ma","Fan Chen","Zhihan Wang","Ke Li","Changbin Tian"],"tags":["Fault (geology)","Chiller boiler system","Computer science","Water chiller","Encoder"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-09","doi":"https://doi.org/10.1016/j.buildenv.2023.110718","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4409634005","name":"Research and Prospects of Digital Twin-Based Fault Diagnosis of Electric Machines","source":"europepmc","abstract":"This paper focuses on the application of digital twins in the field of electric motor fault diagnosis. Firstly, it explains the origin, concept, key technology and application areas of digital twins, compares and analyzes the advantages and disadvantages of digital twin technology and traditional methods in the application of electric motor fault diagnosis, discusses in depth the key technology of digital twins in electric motor fault diagnosis, including data acquisition and processing, digital modeling, data analysis and mining, visualization technology, etc., and enumerates digital twin application examples in the fields of induction motors, permanent magnet synchronous motors, wind turbines and other motor fields. A concept of multi-phase synchronous generator fault diagnosis based on digital twins is given, and challenges and future development directions are discussed.","url":"https://doi.org/10.3390/s25082625","authors":["Jia Hu","Xiao Han","Zhihao Ye","Ningzhao Luo","Minhao Zhou"],"tags":["Fault (geology)","Key (lock)","Visualization","Field (mathematics)","Electric motor"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.3390/s25082625","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4382133803","name":"Development and Application of Digital Twin–BIM Technology for Bridge Management","source":"openalex","abstract":"The concept and technology of a digital twin, which represent a replica of a real object in a virtual space called Industry 4.0, are widely used across all industries and purposes. Similarly, in the architecture, engineering, and construction (AEC) industries, there is an urgent need to develop a technology called BIM, a form of digital twin based on 3D models, for the purpose of improving productivity and reducing costs. Bridge structures are required to be safe, reliable, and durable, and various research studies have been conducted on maintenance and repair strategies and their development by fusing health monitoring and digital twins. In this study, we explore the development of digital twin–BIM technology and demonstrate its various applications for an existing bridge structure where the implementation of health monitoring is planned. Moreover, we evaluate the characteristics of the structural performance of the bridge structure using digital twin–BIM technology.","url":"https://doi.org/10.3390/app13137435","authors":["Elfrido Elias Tita","Gakuho Watanabe","Peilun Shao","Kenji Arii"],"tags":["Bridge (graph theory)","Computer science","Replica","Systems engineering","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-23","doi":"https://doi.org/10.3390/app13137435","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4393071653","name":"Aircraft Structural Design and Life-Cycle Assessment through Digital Twins","source":"openalex","abstract":"Numerical modeling tools are essential in aircraft structural design, yet they face challenges in accurately reflecting real-world behavior due to factors like material properties scatter and manufacturing-induced deviations. This article addresses the potential impact of digital twins on overcoming these limitations and enhancing model reliability through advanced updating techniques based on machine learning. Digital twins, which are virtual replicas of physical systems, offer a promising solution by integrating sensor data, operational inputs, and historical records. Machine learning techniques enable the calibration and validation of models, combining experimental inputs with simulations through continuous updating processes that refine digital twins, improving their accuracy in predicting structural behavior and performance throughout an aircraft’s life cycle. These refined models enable real-time monitoring and precise damage assessment, supporting decision making in diverse contexts. By integrating sensor data and updating techniques, digital twins contribute to improved design and maintenance operations by providing valuable insights into structural health, safety, and reliability. Ultimately, this approach leads to more efficient and safer aviation operations, demonstrating the potential of digital twins to revolutionize aircraft structural analysis and design. This article explores various advancements and methodologies applicable to structural assessment, leveraging machine learning tools. These include the utilization of physics-informed neural networks, which enable the handling of diverse uncertainties. Such approaches empower a more informed and adaptive strategy, contributing to the assurance of structural integrity and safety in aircraft structures throughout their operational life.","url":"https://doi.org/10.3390/designs8020029","authors":["Sérgio M. O. Tavares","João Alves Ribeiro","Bruno Alves Ribeiro","P.M.S.T. de Castro"],"tags":["Computer science","Aeronautics","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-22","doi":"https://doi.org/10.3390/designs8020029","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4406199433","name":"Intelligent human activity recognition for healthcare digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.iot.2025.101497","authors":["Elif Bozkaya","Tolga Önel","Levent Erişkin","Mümtaz Karataş"],"tags":["Health care","Computer science","Human–computer interaction","Psychology","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-09","doi":"https://doi.org/10.1016/j.iot.2025.101497","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387580446","name":"Physics-informed digital twin for wind turbine main bearing fatigue: Quantifying uncertainty in grease degradation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.asoc.2023.110921","authors":["Yigit Yucesan","Felipe Viana"],"tags":["Prognostics","Turbine","Computer science","Initialization","Wind power"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-12","doi":"https://doi.org/10.1016/j.asoc.2023.110921","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4401055431","name":"Cognitive digital twin-enabled multi-robot collaborative manufacturing: Framework and approaches","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cie.2024.110418","authors":["Wenjun Xu","Hang Yang","Zhenrui Ji","Mengyuan Ba"],"tags":["Cognition","Robot","Human–computer interaction","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-26","doi":"https://doi.org/10.1016/j.cie.2024.110418","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2942642196","name":"Digital Twin of eGastronomic Things: A Case Study for Ice Cream Machines","source":"openalex","abstract":"With the recent advancements in industry 4.0 new concepts like “Digital Twin” has been rising also for the gastronomy sector. Gastronomic processes like cooking, serving, presenting, and preparing food have evolved with the new trends utilizing Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR). This paper presents an innovative concept of digital cloning of gastronomic devices, named as eGastronomic things, to monitor their functions and simulate their operations. Here, eGastronomic things have both real physical appearances and their digital counterparts presenting them as a living 3D model augmented with its real incorporating data. Such live data can be any sensory or instant data observed while the device is working, or any catalogue data, like the model name and the owner information, stored in a database. In order to prove the concept, a case study where the digital twin of an industrial ice cream machine (as an example of an eGastronomic thing) is presented. The ice cream machine and its 3D digital twin can be visualized in a 3D virtual environment which enables interaction through AR or VR. The digital twin of the machine is secured with an electronic IoT gateway embedded in the machine and incorporated with a data acquisition board. Thus, the device is protected against unauthenticated use by realizing a secure access control mechanism.","url":"https://doi.org/10.1109/iscas.2019.8702679","authors":["Ahmet Mert Karadeniz","İbrahim Arif","Alper Kanak","Salih Ergün"],"tags":["Computer science","Augmented reality","Gateway (web page)","Gastronomy","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-01","doi":"https://doi.org/10.1109/iscas.2019.8702679","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4391540890","name":"Design and research of digital twin platform for handicraft intangible cultural heritage -Yangxin Cloth Paste","source":"openalex","abstract":"Abstract In the context of the 5G era, the rapid development of digital technology and its integration with intangible cultural heritage (ICH) can facilitate the dynamic transmission of ICH.The research purposes to construct a virtual experience platform for handmade ICH using the handmade ICH of East Hubei Province in China—Yangxin Cloth Paste as a case study through Digital Twin technology. It explores the application of digital twin technology in the field of handmade ICH transmission and aids the dynamic transmission of handmade ICH. Firstly, the research collected tangible and procedural data of the Yangxin Cloth Paste. By using photogrammetric techniques, a model of the handicraft was built and an effective digital twin conversion procedure was designed. Next, the research set up a framework for a digital twin platform for handmade ICH, designing systems for the production, display, and transaction of ICH handicrafts. Lastly, its effectiveness was validated by user satisfaction evaluation guiding subsequent optimization direction. The platform innovatively uses digital twin technology to help users visualize handicraft ICH. Through the combination of digital twin technology and virtual reality technology, it creates a realistic virtual reality experience of ICH of handicraft, stimulates users' interest in exploring ICH of handicraft, and contributes to the process protection, dissemination and development of handicraft ICH.","url":"https://doi.org/10.1186/s40494-024-01161-0","authors":["Min Li","Shengtao Xu","Jie Tang","Wenfeng Chen"],"tags":["Handicraft","Intangible cultural heritage","Cultural heritage","Computer science","Multimedia"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-05","doi":"https://doi.org/10.1186/s40494-024-01161-0","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4385431481","name":"Dynamic scheduling of multi-memory process flexible job shop problem based on digital twin","source":"openalex","abstract":"Digital twin is one of the newly-emerged enabling technologies for achieving intelligent manufacturing. Based on the physical–digital convergence, digital twin provides manufacturing systems with a new model of collaboration between the workforce and industrial processes. With the characteristics of real-time communication and data-driven enablers, the digital twin scheduling strategy requires close cooperation between workers, systems and processes. However, in the process of digitization and intelligentization, industry will need to face the challenge of supporting new technologies and worker skills development. To this end, the paper considers workers’ multi-memory process (learning and forgetting) in the flexible job shop scheduling problem (MPFJSP). Meanwhile, the dynamic scheduling strategy of the digital twin-driven MPFJSP is proposed under machine breakdowns aiming at simultaneously minimizing the makespan , total carbon emissions, total production cost and product quality stability. A virtual workshop is adopted to simulate and optimize the dynamic scheduling scheme to realize intelligent workshop scheduling. Finally, a computational experiment is carried out to verify the effectiveness and advantages of the proposed intelligent scheduling strategy.","url":"https://doi.org/10.1016/j.cie.2023.109498","authors":["Zhi Li","Yingjian Chen"],"tags":["Computer science","Job shop scheduling","Scheduling (production processes)","Dynamic priority scheduling","Flow shop scheduling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-31","doi":"https://doi.org/10.1016/j.cie.2023.109498","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4392299738","name":"Emerging Trends and Innovations in Blockchain-Digital Twin Integration for Green Investments","source":"openalex","abstract":"This chapter explores the dynamic interaction between blockchain technology and digital twins in the context of green investing. It examines the revolutionary influence of the synergy of these cutting-edge technologies on the efficiency, transparency, and dependability of sustainable investing methods. The chapter begins with an informative introduction to the fundamentals of blockchain and digital twins, illuminating their separate functions before revealing their joint potential for strengthening green investment initiatives. A detailed assessment of the most recent improvements in blockchain and digital twin technologies follows, focusing on smart contracts, enhanced data analytics, and real-time monitoring. The actual implementation and effects of this integration are presented via illustrative case studies of renewable energy, sustainable infrastructure, and environmental conservation. This chapter delves deeper into the problems of integrating these technologies, providing practical insights and solutions to technical, regulatory, and operational roadblocks.","url":"https://doi.org/10.4018/979-8-3693-1878-2.ch007","authors":["Muhammad Usman Tariq"],"tags":["Transparency (behavior)","Blockchain","Dependability","Context (archaeology)","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.4018/979-8-3693-1878-2.ch007","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"oa:W4281717447","name":"Development of a digital twin for real-time simulation of a combustion engine-based power plant with battery storage and grid coupling","source":"openalex","abstract":"Coordinated control of combustion engine-based power plants with battery storage is the next big thing for optimising renewable energy. Digital twins can enable such sophisticated control but currently are too simplistic for the required insight. This study explores the feasibility of a fully physics-based combustion engine model in real-time co-simulation with an electrical power plant model, including battery storage. A detailed, crank-angle resolved, one-dimensional model of a large-bore stationary engine is reduced to a fast-running model (FRM). This engine digital twin is coupled with a complete power plant control model, developed in Simulink. Real-time functions are tested on a dedicated rapid-prototyping system using a target computer. Measurement data from the corresponding power plant infrastructure provide validation for the digital twin. The model-in-the-loop simulations show real-time results from both the standalone combustion and electric submodels mostly within 5% of measured values. The model coupling for fully predictive simulation was tested on a desktop computer, showing expected functionality and validity within 4% and 8% of the respective measured generator and converter outputs. However, execution time of the FRM needs reducing when moving to final hardware-in-the-loop implementation of a complete power plant model.","url":"https://doi.org/10.1016/j.enconman.2022.115793","authors":["Emma Söderäng","Saana Hautala","Maciej Mikulski","Xiaoguo Storm","Seppo Niemi"],"tags":["Battery (electricity)","Power station","Automotive engineering","Hardware-in-the-loop simulation","Power (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-26","doi":"https://doi.org/10.1016/j.enconman.2022.115793","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4316661322","name":"Task-Efficiency Oriented V2X Communications: Digital Twin Meets Mobile Edge Computing","source":"openalex","abstract":"Digital Twin (DT) has emerged as an enabling technology for sixth generation (6G) vehicle-to-everything (V2X) communications. However, there are two crucial issues on leveraging DT for 6G V2X communications. First, what kind of DT capabilities can be combined with the 6G V2X networks? Second, how can we transform the DT capabilities into practical V2X network performance gain? Motivated to solve these problems, this article investigates the DT capabilities under a DT and mobile edge computing empowered 6G V2X network architecture. Specifically, three DT capabilities are presented: First, strengthening the human-machine interaction, via driving behavior analysis; second, improving traffic safety via knowledge-based vehicle fault diagnosis; and third, analyzing spatial-temporal traffic characteristics, via data aggregation. Furthermore, we investigate two case studies for illustrating how to utilize DT capabilities to perform task-efficiency oriented V2X network scheduling. In the first case study, the driver behavior analysis result is combined with the V2X channel scheduling strategy. In the second case study, a deep reinforcement learning-based vehicle merging decision is devised in the DT domain. Then, a coalition-based V2X channel scheduling strategy is proposed, to help accomplish the vehicle merging decision task. Finally, we evaluate the performance of our proposed task-efficiency oriented V2X channel scheduling schemes, and highlight the future research directions.","url":"https://doi.org/10.1109/mwc.012.2200465","authors":["Guoqiang Cai","Bo Fan","Yiwei Dong","Tongfei Li","Wu Yuan","Yan Zhang"],"tags":["Computer science","Scheduling (production processes)","Mobile edge computing","Reinforcement learning","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-16","doi":"https://doi.org/10.1109/mwc.012.2200465","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387098043","name":"A digital twin for DNA data storage based on comprehensive quantification of errors and biases","source":"openalex","abstract":"Archiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data on these errors and biases, as well as a lack of modeling tools, limit data-driven ECC development and experimental design. In this study, we present a comprehensive characterisation of the error sources and biases present in the most common DNA data storage workflows, including commercial DNA synthesis, PCR, decay by accelerated aging, and sequencing-by-synthesis. Using the data from 40 sequencing experiments, we build a digital twin of the DNA data storage process, capable of simulating state-of-the-art workflows and reproducing their experimental results. We showcase the digital twin's ability to replace experiments and rationalize the design of redundancy in two case studies, highlighting opportunities for tangible cost savings and data-driven ECC development.","url":"https://doi.org/10.1038/s41467-023-41729-1","authors":["Andreas L. Gimpel","Wendelin J. Stark","Reinhard Heckel","Robert N. Grass"],"tags":["Computer science","Workflow","Redundancy (engineering)","Computer data storage","Error detection and correction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-27","doi":"https://doi.org/10.1038/s41467-023-41729-1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2989908236","name":"Urban Intelligence: a Modular, Fully Integrated, and Evolving Model for Cities Digital Twinning","source":"openalex","abstract":"The Urban Intelligence (UI) paradigm proposes an ecosystem of technologies to improve urban environment, wellbeing, quality of life and smart city systems. It fosters the definition of a digital twin of the city, namely a cyber-physical counterpart of all the city systems and sub-systems. Here we propose a novel approach to UI that extends available frameworks combining advanced multidisciplinary modelling of the city, simulation and learning tools with numerical optimization techniques, each of them specialized for the digital representation of city systems and subsystems, including not only city infrastructures, but also city users and their interactions. UI provides sets of candidate policies in complex scenarios and supports policy makers and stakeholders in designing sustainable and personalized solutions. The main characteristics of the proposed UI architecture are (a) fully multidisciplinary integration of city layers, (b) connection and evolution with the city, (c) integration of participative strategies to include “human-oriented” information, and (d) modularity of application.","url":"https://doi.org/10.1109/honet.2019.8907962","authors":["Giordana Castelli","Gabriella Tognola","Emilio F. Campana","Amedeo Cesta","Matteo Diez","Marco Padula","Paolo Ravazzani","Giovanni Rinaldi","Stefano Savazzi","Michela Spagnuolo","Lucanos Marsilio Strambini"],"tags":["Smart city","Modularity (biology)","Modular design","Multidisciplinary approach","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/honet.2019.8907962","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4285243150","name":"A vision-based human-robot collaborative system for digital twin","source":"openalex","abstract":"Flexible and safe human-robot collaboration depends on accurately capturing the three-dimensional motion of humans and robots in the field of smart manufacturing. In this paper, a novel approach to developing a human-robot collaborative assembly system is proposed and applied to the field of digital twins. Within the context, a deep learning-based model is explored to develop a depth camera-based human recognition system for accurate prediction of key points for human skeletons model and high-precision human localisation in a human-robot collaborative setting. After the functional mapping of robot calibration, a collision warning module leverages coordinates of key human-robot points to facilitate efficient and safe human-robot collaborative assembly.","url":"https://doi.org/10.1016/j.procir.2022.05.024","authors":["Shuming Yi","Sichao Liu","Xiaohu Xu","Xi Vincent Wang","Sijie Yan","Lihui Wang"],"tags":["Robot","Artificial intelligence","Human–robot interaction","Field (mathematics)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.05.024","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4363672401","name":"Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2023.104855","authors":["Tao Fu","Tianci Zhang","Yilin Lv","Xueguan Song","Guang Li","Haifeng Yue"],"tags":["Excavator","Shovel","Payload (computing)","Roadheader","Trajectory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-10","doi":"https://doi.org/10.1016/j.autcon.2023.104855","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3089422085","name":"Developing a smart cyber-physical system based on digital twins of plants","source":"openalex","abstract":"The paper proposes a multi-agent approach to development of “digital twins” of plants, which reflects phases of plant development and allows for more accurate forecasting of harvest and planning of agrotechnical measures. It also shows the possibility to formalize domain knowledge on new agro technologies for plant growing and automate decision-making processes when introducing precision farming technologies. A formalized model of the digital twin of plants is proposed in the form of a multi-agent state machine, acting on the basis of a knowledge graph of transitions between phases of plant development. Each stage (state) has its own software agent, which helps respond to unforeseen events and recalculate predicted harvest and risks of problem situations. Recommendations developed by the digital twin are to be further sent to smart cyber-physical precision farming management system for adaptive rescheduling of resources and differentiated use of fertilizers and crop protection tools. The developed approach becomes valuable in growing uncertainty because of global climate changes, destroying agronomist domain knowledge collected over centuries.","url":"https://doi.org/10.1109/worlds450073.2020.9210359","authors":["Petr Skobelev","Vladimir Laryukhin","Elena Simonova","Oleg Ivanovich Goryanin","Vladimir Yalovenko","Olga Yalovenko"],"tags":["Computer science","Cyber-physical system","Domain (mathematical analysis)","Agriculture","Crop management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-01","doi":"https://doi.org/10.1109/worlds450073.2020.9210359","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4407028824","name":"Developing a digital twin for dam safety management","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compgeo.2025.107120","authors":["S.W. Sun H. Ding","Jia-Jun Pan","Yanli Wang","Hanqiu Xu","Dianqing Li","Xin Liu"],"tags":["Forensic engineering","Engineering","Construction engineering","Business","Civil engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-31","doi":"https://doi.org/10.1016/j.compgeo.2025.107120","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4413439620","name":"Current progress of digital twin construction using medical imaging","source":"openalex","abstract":"Medical imaging is fundamental to digital twin technology, enabling patient-specific virtual models of anatomy and physiology. By integrating high-resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), ultrasound) with computational frameworks, recent imaging advances now support real-time simulation, predictive modeling, and earlier disease detection. Such capabilities directly inform individualized treatment planning and contribute to more precise, personalized care. Despite remaining challenges-complex anatomical modeling, multimodal integration, and high computational demands-recent advances in imaging and machine learning have significantly enhanced the accuracy and clinical utility of digital twins. The main contributions of our review are: (1) a system-by-system classification of methodologies; (2) evidence that advanced imaging modalities have improved diagnostic accuracy, treatment effectiveness, and patient outcomes beyond conventional approaches; and (3) identification of remaining technical bottlenecks. We further analyze key technical barriers-such as data scarcity and computational complexity-and outline future directions (e.g., AI-driven data augmentation, real-time model optimization) to unlock digital twins' full potential in precision medicine.","url":"https://doi.org/10.1002/acm2.70226","authors":["Feng Zhao","Yizhou Wu","Mingzhe Hu","Chih‐Wei Chang","Ruirui Liu","Richard L. J. Qiu","Xiaofeng Yang"],"tags":["Computer science","Medical imaging","Modalities","Medical physics","Magnetic resonance imaging"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.1002/acm2.70226","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2937040248","name":"Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-14302-2_15","authors":["Dmitry Ivanov","Alexandre Dolgui","Ajay Das","Boris Sokolov"],"tags":["Resilience (materials science)","Analytics","Computer science","Supply chain","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1007/978-3-030-14302-2_15","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3191408738","name":"Digital Twin Technology","source":"openalex","abstract":"","url":"https://doi.org/10.1201/9781003132868","authors":["Gopal Chaudhary","Manju Khari","Mohamed Elhoseny"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-03","doi":"https://doi.org/10.1201/9781003132868","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4406331418","name":"Comparative Study of Digital Twin Developed in Unity and Gazebo","source":"openalex","abstract":"Digital twin (DT) technology has become a cornerstone in the simulation and analysis of real-world systems, offering unparalleled insights into the lifecycle management of physical assets. By providing a real-time synchronized replica of the physical entity, DTs enable predictive maintenance, performance optimization, and lifecycle extension, which are pivotal for industries aiming for digital transformation. This paper presents a comprehensive comparative study of DT development of a robotic arm using two prominent simulation platforms: Unity and Gazebo. Unity, with its roots in the gaming industry, offers robust real-time rendering and a user-friendly interface, making it a versatile choice for various industries. Gazebo, traditionally used in robotics, provides detailed physics simulations and sensor data emulation, which is ideal for precise engineering applications. We explored the performance of both platforms in creating accurate and dynamic digital replicas. Through qualitative and quantitative analyses, this study evaluates each platform’s strengths and limitations. The study assesses these platforms across key performance metrics such as accuracy, latency, graphic quality, and integration with the Robot Operating System (ROS). The DTs were developed using a consistent physical setup and communication layer to ensure fair comparisons. The results indicate that Unity performed better in terms of accurately mimicking the robotic arm with lower latency, making it ideal for applications requiring high-fidelity visualizations and real-time responsiveness. However, Gazebo excels in its ease of ROS integration and cost-effectiveness, making it a suitable choice for smaller robotics and automation projects. This study conducts an empirical comparison of these platforms in terms of their performance in creating DTs of robotic arms which is not readily available. This paper aims to guide developers and organizations in selecting the appropriate platform for their DT initiatives, ensuring efficient resource utilization and optimal outcomes.","url":"https://doi.org/10.3390/electronics14020276","authors":["Maulshree Singh","Jayasekara Kapukotuwa","Eber Lawrence Souza Gouveia","Evert Fuenmayor","Yuansong Qiao","Niall Murray","Declan M. Devine"],"tags":["Computer science","Emulation","Robotics","Automation","Rendering (computer graphics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-11","doi":"https://doi.org/10.3390/electronics14020276","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4409293733","name":"A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes","source":"openalex","abstract":"Abstract Digital Twin (DT) technology in healthcare is relatively new and faces several challenges, e.g., real-time data processing, secure system integration, and robust cybersecurity. Despite the growing demand for real-time monitoring frameworks, further improvements remain possible. In this study, an architecture has been introduced that utilises cloud computing to create a DT ecosystem. A group of 20 participants has been monitored continuously using high-speed technology to track key physiological parameters, i.e., diabetes risk factors, heart rate (HR), oxygen saturation (SpO2) levels, and body temperature (BT). To strengthen the study and enhance diversity, the dataset was supplemented with 1177 anonymized medical records from the publicly available MIMIC-III Public Health Dataset. The DT model functions as a tool, storing both real-time sensor data and historical records, to effectively identify health risks and anomalies. An MLP model was combined with XGBoost, resulting in a 25% reduction in training time and a 33% reduction in testing time. The model demonstrated reliability with an accuracy of 98.9% and achieved real-time accuracy of 95.4%, alongside an F1 score of 0.984. Meticulous attention has been paid to cybersecurity measures, ensuring system integrity through end-to-end encryption and compliance with health data regulations. The incorporation of DT and AI within the healthcare sector is seen as having the potential to overcome existing limitations in monitoring systems, while workloads are relieved and data-driven diagnostics and decision-making processes are improved, e.g., through enhanced real-time patient monitoring and predictive analysis.","url":"https://doi.org/10.1007/s43926-025-00135-3","authors":["Ahmed K. Jameil","Hamed Al‐Raweshidy"],"tags":["Health care","Computer science","Healthcare system","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-09","doi":"https://doi.org/10.1007/s43926-025-00135-3","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4319297859","name":"Feasibility of Digital Twins to Manage the Operational Risks in the Production of a Ready-Mix Concrete Plant","source":"openalex","abstract":"The ready-mix concrete supply chain is highly disruptive due to its product perishability and Just-in-Time (JIT) production style. A lack of technology makes the ready-mix concrete (RMC) industry suffer from frequent production failures, ultimately causing high customer dissatisfaction and loss of revenues. In this paper, we propose the first-ever digital twin (DT) system in the RMC industry that can serve as a decision support tool to manage production risk efficiently and effectively via predictive maintenance. This study focuses on the feasibility of digital twins for the RMC industry in three main areas holistically: (1) the technical feasibility of the digital twin system for ready-mix concrete plant production risk management; (2) the business value of the proposed product to the construction industry; (3) the challenges of implementation in the real-world RMC industry. The proposed digital twin system consists of three main phases: (1) an IoT system to get the real-time production cycle times; (2) a digital twin operational working model with descriptive analytics; (3) an advanced analytical dashboard with predictive analytics to make predictive maintenance decisions. Our proposed digital twin solution can provide efficient and interpretable predictive maintenance insights in real time based on anomaly detection, production bottleneck identification, process disruption forecast and cycle time analysis. Finally, this study emphasizes that state-of-the-art solutions such as digital twins can effectively manage the production risks of ready-mix concrete plants by automatically detecting and predicting the bottlenecks without waiting until a production failure happens to react.","url":"https://doi.org/10.3390/buildings13020447","authors":["Vihan Weerapura","P. T. R. S. Sugathadasa","M. Mavin De Silva","Izabela Nielsen","Amila Thibbotuwawa"],"tags":["Perishability","Bottleneck","Production (economics)","Product (mathematics)","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-06","doi":"https://doi.org/10.3390/buildings13020447","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3212846972","name":"Towards a shape-performance integrated digital twin for lumbar spine analysis","source":"openalex","abstract":"Background: With significant advancement and demand for digital transformation, the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space. In this work, a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement. Methods: A finite element model (FEM) of the lumbar spine was firstly developed using computed tomography (CT) and constrained by the body movement which was calculated by the inverse kinematics algorithm. The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. Finally, a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement. Results: The evaluation results presented an agreement (R-squared &gt; 0.8) between the real-time prediction from digital twin and offline FEM prediction. Conclusions: This approach provides an effective method of real-time planning and warning in spine rehabilitation.","url":"https://doi.org/10.12688/digitaltwin.17478.1","authors":["Xiwang He","Yiming Qiu","Xiaonan Lai","Zhonghai Li","Liming Shu","Wei Sun","Xueguan Song"],"tags":["Lumbar","Computer science","Anatomy","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-05","doi":"https://doi.org/10.12688/digitaltwin.17478.1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W3108007647","name":"Digital Twin as a Decision Support Tool for Airport Traffic Control","source":"openalex","abstract":"The paper describes experiments with a Digital Twin, which is intended to be used as a testbed for solutions in the field of centralized traffic control at airports. The data flow on spatial characteristics of vehicles is simulated using a special simulation model. A distinguishing feature of the model is the ability to describe and reproduce specific scenarios related to critical situations in the transport network that require the involvement of a centralized control system. It is assumed that in the early stages of using the Digital Twin, the role of the control system can be performed by a user who has the sufficient skills in traffic control. User decisions are stored in the Digital Twin's memory and can be used later to train a control system based on machine learning.","url":"https://doi.org/10.1109/itms51158.2020.9259294","authors":["Farid Saifutdinov","Ilya Jackson","Jurijs Tolujevs","Tatjana Zmanovska"],"tags":["Testbed","Computer science","Control (management)","Field (mathematics)","Air traffic control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-15","doi":"https://doi.org/10.1109/itms51158.2020.9259294","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2994619798","name":"Liberalization of Digital Twins of IoT-Enabled Home Appliances via Blockchains and Absolute Ownership Rights","source":"openalex","abstract":"IoT-enabled home appliances are still in their infancy, especially from the perspective of customers, which hinders widespread market penetration. To relieve this skeptical attitude of customers toward IoT appliances, it is important to design human-centric business models rather than corporate-centric ones. IoT ecosystems that make use of cognitive outputs from the social network of things can assist in the establishment of such business models. The contributions of this article are twofold. First, we propose a reference model that grants the absolute ownership of the fog-located digital twin (DT) of a home appliance to its owner and promotes human-centric services and applications on this twin by utilizing blockchains (BCs) and BC-enabled clouds. Second, by enabling customers to have absolute ownership rights over the fog-located DTs, the model paves the way for the liberalization of DTs as well as the appliances coupled to them, which is an important step in revealing the true value that underlies human-centricity and things-to-things collaboration.","url":"https://doi.org/10.1109/mcom.001.1900072","authors":["Cankal Altun","Bülent Tavlı","Halim Yanıkömeroğlu"],"tags":["Computer science","Business model","Liberalization","Internet of Things","Skepticism"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-01","doi":"https://doi.org/10.1109/mcom.001.1900072","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387796198","name":"A Digital Twin-based on-site quality assessment method for aero-engine assembly","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2023.10.008","authors":["Jinyue Li","Gang Zhao","Pengfei Zhang","Maocheng Xu","Cheng He","Han Pengfei"],"tags":["Block (permutation group theory)","Process (computing)","Quality (philosophy)","Assembly modelling","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-19","doi":"https://doi.org/10.1016/j.jmsy.2023.10.008","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4399533123","name":"Digital twin-driven prognostics and health management for industrial assets","source":"openalex","abstract":"As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in prognostics and health management (PHM). Faults can lead to degradation or malfunction of industrial assets. Accordingly, DT-driven PHM studies are conducted to improve reliability and reduce maintenance costs of industrial assets. However, there is a lack of systematic research to analyze and summarize current DT-driven PHM applications and methodologies for industrial assets. Therefore, this paper first analyzes the application of DT in PHM from the application field, aspect, and hierarchy at application layer. The paper next deepens into the core and mechanism of DT in PHM at theory layer. Then enabling technologies and tools for DT modeling and DT system are investigated and summarized at implementation layer. Finally, observations and future research suggestions are presented.","url":"https://doi.org/10.1038/s41598-024-63990-0","authors":["Bin Xiao","Jingshu Zhong","Xiangyu Bao","Liang Chen","Jinsong Bao","Yu Zheng"],"tags":["Prognostics","Computer science","Business","Data science","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-11","doi":"https://doi.org/10.1038/s41598-024-63990-0","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4309776741","name":"Knowledge map and forecast of digital twin in the construction industry: State-of-the-art review using scientometric analysis","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2022.135231","authors":["Haiyan Xie","Mengyang Xin","Caiwu Lu","Jiayue Xu"],"tags":["Patent visualisation","Asset (computer security)","Implementation","Computer science","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-21","doi":"https://doi.org/10.1016/j.jclepro.2022.135231","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387378411","name":"Application and enabling digital twin technologies in the operation and maintenance stage of the AEC industry: A literature review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jobe.2023.107859","authors":["Anshan Zhang","Jian Yang","Feiliang Wang"],"tags":["Field (mathematics)","Manufacturing engineering","Industry 4.0","Engineering management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-05","doi":"https://doi.org/10.1016/j.jobe.2023.107859","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4362683559","name":"Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality","source":"openalex","abstract":"A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset, enabled through data and simulators, that can be used for a variety of purposes such as prediction, monitoring, and decision-making. However, the concept of digital twin can be vague and difficult to understand, which is why a new concept called \"capability level\" has been introduced. This concept categorizes digital twins based on their capability and defines a scale from zero to five, with each level indicating an increasing level of functionality. These levels are standalone, descriptive, diagnostic, predictive, prescriptive, and autonomous. By understanding the capability level of a digital twin, we can better understand its potential and limitations. To demonstrate the concepts, we use a modern house as an example. The house is equipped with a range of sensors that collect data about its internal state, which can then be used to create digital twins of different capability levels. These digital twins can be visualized in virtual reality, allowing users to interact with and manipulate the virtual environment. The current work not only presents a blueprint for developing digital twins but also suggests future research directions to enhance this technology. Digital twins have the potential to transform the way we monitor and optimize physical assets, and by understanding their capabilities, we can unlock their full potential.","url":"https://doi.org/10.1109/access.2023.3265191","authors":["Elias Mohammed Elfarri","Adil Rasheed","Omer San"],"tags":["Computer science","Blueprint","Asset (computer security)","Variety (cybernetics)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3265191","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4386766970","name":"GNN-Based Power Allocation and User Association in Digital Twin Network for the Terahertz Band","source":"openalex","abstract":"The digital twin (DT) and terahertz (THz) wireless communication technologies have promoted the innovative development and application of 6G networks. Combining DT can obtain efficient, collaborative, and intelligent management for THz wireless networks. However, the conflicts between large amounts of twin data and limited network resources make it difficult to improve the performance of DT networks. In this paper, a DT architecture for THz wireless networks is proposed, which maps a physical network in the THz band into a virtual DT network and represents the DT network as a graph structure. Furthermore, the THz channel model is provided, and the resource management problem with weighted mean rate as the optimization objective is proposed, which is transformed into a graph optimization problem. Based on this, a distributed message propagation algorithm is proposed, which uses the graph neural network to provide a solution. Simulation results show that the proposed scheme improves the weighted mean rate of the DT network for the THz band and outperforms the benchmark methods. It is also proved that the proposed distributed message propagation algorithm is scalable and can maintain good performance under different conditions.","url":"https://doi.org/10.1109/jsac.2023.3313192","authors":["Haijun Zhang","Xu Ma","Xiangnan Liu","Linpei Li","Kai Sun"],"tags":["Computer science","Terahertz radiation","Wireless network","Wireless","Network architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-15","doi":"https://doi.org/10.1109/jsac.2023.3313192","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3200986238","name":"Unmanned Aircraft System Airspace Structure and Safety Measures Based on Spatial Digital Twins","source":"openalex","abstract":"To explore the airspace structure and safety performance of unmanned aerial vehicle (UAV) system based on spatial digital twins (DTs), the study introduces DTs technology, and combines convolutional neural network (CNN) algorithm with UAV autonomous network. The DTs system of UAV is constructed by using wireless communication technology, and its security performance is simulated. The results show that in the analysis of the system packet loss rate, it is found that with the increase of the acquisition points, the amount of transmitted data only increases slightly, but the packet loss rate does not change significantly. In the analysis of the network performance of the unmanned aircraft system, it is found that the node energy-based weighted clustering algorithm (EWCA) can be used to increase the life of the overall network and enhance its availability by rationally controlling the number of nodes and the number of switching between clusters. As the number of nodes increases, the minimum survival time of each clustering algorithm decreases linearly. When the number of nodes is less than 600, the growth rate of cluster head is higher; When the number of nodes is more than 600, the curve growth is relatively smooth. In the analysis of the probability of network safety interruption, it is found that using the model constructed, when the energy acquisition coefficient is close to 0.5, the energy conversion efficiency is higher, the signal-to-noise ratio is larger. Also, when the number of intermediate nodes is increased to 10, the UAV has the best network safety performance. Therefore, through the research, it is found that the UAV DTs system constructed can significantly improve the safety performance of the UAV during its airspace flight. It can provide experimental references for the widespread application of the UAV in the later period.","url":"https://doi.org/10.1109/tits.2021.3108995","authors":["Weixi Wang","Xiaoming Li","Linfu Xie","Haibin Lv","Zhihan Lv"],"tags":["Cluster analysis","Network packet","Real-time computing","Computer science","Node (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-08","doi":"https://doi.org/10.1109/tits.2021.3108995","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3093600403","name":"Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin","source":"openalex","abstract":"In view of the problems of lagging and poor predictability for ship assembly and welding quality control, the digital twin technology is applied to realize the quality prediction and control of ship group product. Based on the analysis of internal and external quality factors, a digital twin-based quality prediction and control process was proposed. Furthermore, the digital twin model of quality prediction and control was established, including physical assembly and welding entity, virtual assembly and welding model, the quality prediction and control system, and twin data. Next, the real-time data collection based on the Internet of Things and the twin data organization based on XML were used to create a virtual-real mapping mechanism. Then, the machine learning technology is applied to predict the process quality of ship group products. Finally, a small group is taken as an example to verify the proposed method. The results show that the established prediction model can accurately evaluate the welding angular deformation of group products and also provide a new idea for the quality control of shipbuilding.","url":"https://doi.org/10.1155/2020/3758730","authors":["Lei Li","Di Liu","Jinfeng Liu","Honggen Zhou","Jiasheng Zhou"],"tags":["Welding","Quality (philosophy)","Computer science","Predictability","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-18","doi":"https://doi.org/10.1155/2020/3758730","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4312107353","name":"OCATA: a deep-learning-based digital twin for the optical time domain","source":"openalex","abstract":"The development of digital twins to represent the optical transport network might enable multiple applications for network operation, including automation and fault management. In this work, we propose a deep-learning-based digital twin for the optical time domain, named OCATA. OCATA is based on the concatenation of deep neural network (DNN) modeling of optical links and nodes, which facilitates representing lightpaths. The DNNs model linear and nonlinear noise, as well as optical filtering. Additional DNN-based models are proposed to extract useful lightpath metrics, such as lightpath length, number of optical links, and nonlinear fiber parameters. OCATA exhibits low complexity, thus making it ideal for real-time applications. Illustrative results for the application of OCATA to disaggregated and mixed disaggregated-proprietary optical network scenarios reveal remarkable accuracy.","url":"https://doi.org/10.1364/jocn.477341","authors":["Diogo Sequeira","Marc Ruiz","Nelson Costa","Antonio Napoli","João Pedro","Luis Velasco"],"tags":["Computer science","Deep learning","Concatenation (mathematics)","Domain (mathematical analysis)","Wavelength-division multiplexing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-23","doi":"https://doi.org/10.1364/jocn.477341","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4289821477","name":"Ubiquitous Control Over Heterogeneous Vehicles: A Digital Twin Empowered Edge AI Approach","source":"openalex","abstract":"The forthcoming of automated driving has led to vehicular heterogeneity, where vehicles with different automation levels, including connected and automated vehicles (CAVs), connected vehicles (CVs), and human-driven vehicles (HVs), coexist in the road traffic. However, the design of current traffic control systems fail to account for the vehicular traffic heterogeneity. In addition, the emerging artificial intelligence (AI) based traffic control strategies require large quantities of computation resources and generate high delay, which cannot meet the fault-intolerance requirement of the traffic control system. Therefore, there is an urgent need for constructing a new traffic control framework to jointly satisfy the fault-intolerance requirement and realize ubiquitous control over the heterogeneous vehicles. Inspired by this, a digital twin (DT) empowered edge AI framework is proposed in this article. The DT's virtualization capability is utilized to enable virtual risk assessment and performance analysis under the fault-intolerant traffic control system. In addition, the DT's offline learning capability helps the edge AI understand the road traffic data more intelligently to perform enforced optimizations and decisions. Then, a three-layer vehicle control paradigm is discussed under the proposed framework. In the first layer, deep reinforcement learning (DRL) is utilized to intelligently control the CAV acceleration and lane-changing. In the second layer, indirect CV/HV control can be performed by adjusting the target speed and penetration rate of the DRL-controlled CAVs which are mixed in the traffic flow. In the third layer, vehicle-to-everything (V2X) communications and variable message signs are utilized to realize the direct control of CVs and HVs. Experimental results validate the effectiveness of our proposed control paradigm.","url":"https://doi.org/10.1109/mwc.012.2100587","authors":["Bo Fan","Zixun Su","Yanyan Chen","Yuan Wu","Chengzhong Xu","Tony Q. S. Quek"],"tags":["Computer science","Automation","Reinforcement learning","Enhanced Data Rates for GSM Evolution","Edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-04","doi":"https://doi.org/10.1109/mwc.012.2100587","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4403616133","name":"Enhancing internal supply chain management in manufacturing through a simulation-based digital twin platform","source":"openalex","abstract":"• Simulation-based digital twin platform for internal supply chain management. • Exploiting real-time simulation for multi-plant production planning. • Ease of use, flexibility and scalability for company competitiveness. • Data integration and standardization for efficient information flow. • Case Study in the Oil&Gas Sector for testing and validation. Digital Twin (DT) technology is profoundly changing the manufacturing landscape and supply chain management with its ability to create real-time digital replicas of physical processes, allowing for enhanced monitoring and optimized decision-making. However, the analysis of scientific literature reveals that further efforts are needed to spread the use of Industry 4.0 technologies, in the specific context of Internal Supply Chains (ISCs). The main aim of this study is to design, develop test and validate a multi-plant Simulation-Based DT production planning platform for ISCs management. A modular architecture is adopted, and the focus is on a Simulation-Based Digital Twin module, which uses an object-oriented structure and enables what-if analyses, involving several scheduling rules and ISC configurations. The proposed solution ensures flexibility and scalability, two crucial features in a constantly evolving market environment. The platform is tested and validated through a case study, involving a corporate group in the Oil & Gas manufacturing sector, which needs to improve the ISC performance, under a Make-To-Order production strategy. The comparison with a baseline scenario, where the platform is not adopted, shows that the proposed approach can significantly reduce the average flow time, the average tardiness, the number of late orders. This study has important practical implications because enables proactive and smart decision-making, aimed at resource optimization and continuous improvement, through predictive analytics and scenario analysis.","url":"https://doi.org/10.1016/j.cie.2024.110670","authors":["Antonio Cimino","Francesco Longo","Giovanni Mirabelli","Vittorio Solina","Pierpaolo Veltri"],"tags":["Supply chain","Supply chain management","Manufacturing engineering","Business","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-21","doi":"https://doi.org/10.1016/j.cie.2024.110670","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3024691543","name":"Using Digital Twins for Precision Medicine in Vascular Surgery","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.avsg.2020.04.042","authors":["Fabien Lareyre","Cédric Adam","Marion Carrier","Juliette Raffort"],"tags":["Computer science","Representation (politics)","Medicine","Multimedia","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-15","doi":"https://doi.org/10.1016/j.avsg.2020.04.042","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2988415785","name":"Pharmaceutical quality control laboratory digital twin – A novel governance model for resource planning and scheduling","source":"openalex","abstract":"A digital twin of pharmaceutical quality control laboratory was developed and employed as a benchmarking platform to estimate the performance of a new facility under alternative governance models. Key performance metrics, such as sample processing times and utilisation rates of analytical staff and equipment were computed and compared under alternative governance scenarios, to determine solutions to be implemented in practice. Two frameworks were evaluated, leading to the conclusion that higher efficiency can be achieved under a novel, free-for-all governance, without the need to procure additional resources.","url":"https://doi.org/10.1080/00207543.2019.1683250","authors":["Miguel R. Lopes","Andrea Costigliola","Rui M. A. Pinto","Susana M. Vieira","João M. C. Sousa"],"tags":["Benchmarking","Corporate governance","Scheduling (production processes)","Control (management)","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-07","doi":"https://doi.org/10.1080/00207543.2019.1683250","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4394996194","name":"Digital twin for production estimation, scheduling and real-time monitoring in offsite construction","source":"openalex","abstract":"The variability in production operations in offsite construction factories undermines the effectiveness of using average production rates for estimating production time and scheduling. In fact, production schedules based on average rates often exhibit significant deviations from actual production. This study proposes a digital twin for production estimation, scheduling, and real-time monitoring in offsite construction. By integrating computer vision, ultrasonic sensors, machine learning-based prediction models, and 3D simulation, the digital twin continuously collects time data from the shop floor, estimates cycle times, simulates operations, generates production schedules, virtually mirrors operations in real time, and enables the generation of updated schedules based on actual progress. In a case application to a wall framing workstation, the production schedule generated using the digital twin for the framing of wall panels during a work shift achieves an 81% reduction in deviation from actual production time compared to the conventional fixed-rate method commonly used in current practice.","url":"https://doi.org/10.1016/j.cie.2024.110173","authors":["Fatima Alsakka","Haitao Yu","Ibrahim El-chami","Farook Hamzeh","Mohamed Al‐Hussein"],"tags":["Scheduling (production processes)","Estimation","Production (economics)","Computer science","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-22","doi":"https://doi.org/10.1016/j.cie.2024.110173","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4413435968","name":"From Mathematical Modeling and Simulation to Digital Twins: Bridging Theory and Digital Realities in Industry and Emerging Technologies","source":"openalex","abstract":"Against the background of the unprecedented advancements related to Industry 4.0 and beyond, transitioning from classical mathematical models to fully embodied digital twins represents a critical change in the planning, monitoring, and optimization of complex industrial systems. This work outlines the subject within the broader field of applied mathematics and computational simulation while highlighting the critical role of sound mathematical foundations, numerical methodologies, and advanced computational tools in creating data-informed virtual models of physical infrastructures and processes in real time. The discussion includes examples related to smart manufacturing, additive manufacturing technologies, and cyber–physical systems with a focus on the potential for collaboration between physics-informed simulations, data unification, and hybrid machine learning approaches. Central issues including a lack of scalability, measuring uncertainties, interoperability challenges, and ethical concerns are discussed along with rising opportunities for multi/macrodisciplinary research and innovation. This work argues in favor of the continued integration of advanced mathematical approaches with state-of-the-art technologies including artificial intelligence, edge computing, and fifth-generation communication networks with a focus on deploying self-regulating autonomous digital twins. Finally, defeating these challenges via effective collaboration between academia and industry will provide unprecedented society- and economy-wide benefits leading to resilient, optimized, and intelligent systems that mark the future of critical industries and services.","url":"https://doi.org/10.3390/app15169213","authors":["Antreas Kantaros","Theodore Ganetsos","Evangelos Pallis","Michail Papoutsidakis"],"tags":["Bridging (networking)","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.3390/app15169213","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3184384058","name":"Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin","source":"openalex","abstract":"The shortage of computation methods and storage devices has largely limited the development of multi-objective optimization in industrial processes. To improve the operational levels of the process industries, we propose a multi-objective optimization framework based on cloud services and a cloud distribution system. Real-time data from manufacturing procedures are first temporarily stored in a local database, and then transferred to the relational database in the cloud. Next, a distribution system with elastic compute power is set up for the optimization framework. Finally, a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process. With the application of this optimization service in a cloud factory, iron production was found to increase by 83.91 t∙d−1, the coke ratio decreased 13.50 kg∙t−1, and the silicon content decreased by an average of 0.047%.","url":"https://doi.org/10.1016/j.eng.2021.04.022","authors":["Heng Zhou","Chunjie Yang","Youxian Sun"],"tags":["Cloud computing","Computer science","Distributed computing","Blast furnace","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-24","doi":"https://doi.org/10.1016/j.eng.2021.04.022","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4226162420","name":"Implementation of Digital Twin-based Virtual Commissioning in Machine Tool Manufacturing","source":"openalex","abstract":"Virtual commissioning is not a new concept; However, it is all the rage with the introduction of Industry 4.0, in the field of product lifecycle management, computer-aided design (CAD), computer-aided manufacturing (CAM), and within the industrial automation programming frameworks. Although, this is a very active area of research and innovation, these technologies have little implementation in the machine tool industry [11]. There is still no integrated simulation environment for virtual commissioning in the market. In this context, digitalisation is a key driver. The aim of this paper is to describe the practice of virtual commissioning in the machine tool manufacturing industry by identifying available solutions in the market and addressing the challenges faced within the machine tool sector. As a result, a digital twin based virtual commissioning solution has been developed at Danobatgroup, the leading machine tool builder in Spain, which is a step forward towards the digitalisation of machine tool manufacturing.","url":"https://doi.org/10.1016/j.procs.2022.01.250","authors":["Miriam Ugarte","Leire Etxeberria","Gorka Unamuno","Jose Luis Bellanco","Eneko Ugalde"],"tags":["Project commissioning","Computer science","Automation","Machine tool","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procs.2022.01.250","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4285278956","name":"Digital Twin Paradigm Shift: The Journey of the Digital Twin Definition","source":"openalex","abstract":"","url":"https://doi.org/10.5220/0010997600003179","authors":["Martin Tomczyk","Hendrik van der Valk"],"tags":["Paradigm shift","Computer science","Epistemology","Philosophy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.5220/0010997600003179","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4206617388","name":"A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis","source":"openalex","abstract":"Condition monitoring and fault diagnosis of diesel engines are of great significance for safety production and maintenance cost control. The digital twin method based on data-driven and physical model fusion has attracted more and more attention. However, the existing methods lack deeper integration and optimization facing complex physical systems. Most of the algorithms based on deep learning transform the data into the substitution of the physical model. The lack of interpretability of the deep learning diagnosis model limits its practical application. The attention mechanism is gradually developed to access interpretability. In this study, a digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis is proposed with considering its signal characteristics of strong angle domain correlation and transient non-stationary, in which a new soft threshold filter is designed to draw more attention to multi decentralized local fault information dynamically in real time. Based on this attention mechanism, the distribution of fault information in the original signal can be better visualized to help explain the fault mechanism. The valve failure experiment on a diesel engine test rig is conducted, of which the results show that the proposed adaptive sparse attention mechanism model has better training efficiency and clearer interpretability on the premise of maintaining performance.","url":"https://doi.org/10.1038/s41598-021-04545-5","authors":["Jiajie Jiang","Hui Li","Zhiwei Mao","Fengchun Liu","Jinjie Zhang","Zhinong Jiang","He Li"],"tags":["Interpretability","Computer science","Fault (geology)","Diesel engine","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-13","doi":"https://doi.org/10.1038/s41598-021-04545-5","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3210996447","name":"Leveraging BIM and Blockchain for Digital Twins","source":"openalex","abstract":"The digitalization of the construction industry has been supported recently with various building information modelling (BIM) methods applied to lifecycle stages. This has enabled the transition towards an improved management of information required in the development of different construction project tasks. In a digital construction context, traceability of models and collaboration across disciplines is required especially when dealing with sensitive data and critical infrastructures. Blockchain technology has the potential to advance the automation of processes in the construction industry by offering a higher level of data traceability, incentivising participation, and ensuring transparency with projects. This paper presents how BIM and Blockchain can be utilised to facilitate the establishment and implementation of Digital Twins for construction projects. A highway construction case study is used for demonstrating the implementation of smart contracts for managing tasks and processes across different disciplines involved in a construction project.","url":"https://doi.org/10.1109/ice/itmc52061.2021.9570246","authors":["Yasin Çelik","Ioan Petri","Yacine Rezgui"],"tags":["Traceability","Building information modeling","Blockchain","Transparency (behavior)","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-21","doi":"https://doi.org/10.1109/ice/itmc52061.2021.9570246","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4391893371","name":"Forum on immune digital twins: a meeting report","source":"openalex","abstract":"Medical digital twins are computational models of human biology relevant to a given medical condition, which are tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of personalized medicine. The immune system, which has a central role in many diseases, is highly heterogeneous between individuals, and thus poses a major challenge for this technology. In February 2023, an international group of experts convened for two days to discuss these challenges related to immune digital twins. The group consisted of clinicians, immunologists, biologists, and mathematical modelers, representative of the interdisciplinary nature of medical digital twin development. A video recording of the entire event is available. This paper presents a synopsis of the discussions, brief descriptions of ongoing digital twin projects at different stages of progress. It also proposes a 5-year action plan for further developing this technology. The main recommendations are to identify and pursue a small number of promising use cases, to develop stimulation-specific assays of immune function in a clinical setting, and to develop a database of existing computational immune models, as well as advanced modeling technology and infrastructure.","url":"https://doi.org/10.1038/s41540-024-00345-5","authors":["Reinhard Laubenbacher","Fred Adler","Gary An","Filippo Castiglione","Stephen Eubank","Luís L. Fonseca","James A. Glazier","Tomáš Helikar","Marti Jett‐Tilton","Denise E. Kirschner","Paul Macklin","Borna Mehrad"],"tags":["Computer science","Function (biology)","Action plan","Plan (archaeology)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.1038/s41540-024-00345-5","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4294192771","name":"Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00158-022-03348-0","authors":["Seokgoo Kim","Joo-Ho Choi","Nam Ho Kim"],"tags":["Prognostics","Artificial neural network","Robustness (evolution)","Fidelity","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.1007/s00158-022-03348-0","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4404164857","name":"Digital Twin for Flexible Manufacturing Systems and Optimization Through Simulation: A Case Study","source":"openalex","abstract":"The research presented in this paper aligns with the advancement of Industry 4.0 by integrating intelligent machine tools and industrial robots within Flexible Manufacturing Systems (FMS). Primarily, a development approach for Digital Twin (DT) is presented, beginning from the design, sizing, and configuration stages of the system and extending through its implementation, commissioning, operation, and simulation-based optimization. The digitization of current industrial processes entails the development of applications based on modern technologies, utilizing state-of-the-art tools and software. The general objective was to create a digital replica of a process to propose optimization solutions through simulation and subsequently achieve virtual commissioning. The practical nature of the research is reflected in the design and implementation of a Digital Twin for a real physical system processing a family of cylindrical parts within an existing experimental FMS. A digital model of the system was created by defining each individual device and piece of equipment from the physical system, so the virtual model operates just like the real one. By implementing the Digital Twin, both time-based and event-based simulations were performed. Through the execution of multiple scenarios, it was possible to identify system errors and collisions, and propose optimization solutions by implementing complex, collaborative-robot equipment where multiple interactions occur simultaneously.","url":"https://doi.org/10.3390/machines12110785","authors":["Adriana Florescu"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-07","doi":"https://doi.org/10.3390/machines12110785","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3091025361","name":"Tool Condition Prognostic Model Based on Digital Twin System","source":"openalex","abstract":"Based on the interconnection of physical and virtual devices, the fault prognostic driven by Digital twin becomes a new methodology that diagnoses fault phenomena quickly. In this paper, a tool condition prognostic model based on digital twin(TCP-DT) is proposed to improve prognostic accuracy and reduce response time. The time series data such as the vibration and current signals are used as input information. Moreover, the Long Short-Term Memory(LSTM)-RNN algorithm is employed to learn the features from signals automatically. Then, the Softmax regression method is applied to classify the tool conditions. Experimental results show the model has good effectiveness and generalization.","url":"https://doi.org/10.1016/j.procir.2020.03.045","authors":["Nan Xie","Kou Rui","Yingzhe Yao"],"tags":["Softmax function","Computer science","Fault (geology)","Generalization","Interconnection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.03.045","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4220973628","name":"The process correlation interaction construction of Digital Twin for dynamic characteristics of machine tool structures with multi-dimensional variables","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2022.03.002","authors":["Zhaoshun Liang","Shuting Wang","Yili Peng","Xinyong Mao","Xing Yuan","Aodi Yang","Ling Yin"],"tags":["Process (computing)","Machining","Machine tool","Vibration","Synchronization (alternating current)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-14","doi":"https://doi.org/10.1016/j.jmsy.2022.03.002","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4386158973","name":"Digital Twin Modeling of Power Electronic Converters","source":"openalex","abstract":"A real-time digital twin of a DC-DC boost converter is developed and verified experimentally using various load scenarios. The developed DT can be used to provide a comprehensive understanding of the system's behavior and support improved decision-making and predictive maintenance. Moreover, this digital twin can be integrated into a larger digital twin system that represents the entire power system hardware. By connecting these digital twins together, a complete digital model of the power system can be created. Results confirm the capability of the developed digital twin and its hardware to reflect the electrical behaviors of the physical twin in real-time. The maximum deviation between the digital twin and the physical twin was ±2%.","url":"https://doi.org/10.1109/ests56571.2023.10220465","authors":["Kerry Sado","Jack Hannum","Kristen Booth"],"tags":["Converters","Computer science","Power (physics)","Electric power system","Electronic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-01","doi":"https://doi.org/10.1109/ests56571.2023.10220465","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4392173067","name":"Underwater Simulators Analysis for Digital Twinning","source":"openalex","abstract":"The underwater environment is among Earth’s most challenging domains, where failures incur elevated risks and costs for both technology and human endeavors. As a consequence, forecasting the behavior of mechatronic systems through simulation has become increasingly important. Underwater Robotic Simulators (URSs) allow researchers and engineers to safely develop and assess submarine systems. The selection of an appropriate URS from the list of available tools is not trivial. Moreover, the integration of this software with the Digital Twin (DT) concept presents numerous advantages, particularly the ability to link the simulated environment with actual underwater vehicles. This connection is facilitated by performing validation and simulation tests using Software In the Loop (SIL), Model In the Loop, and Hardware In the Loop (HIL) techniques. This paper extensively reviews URSs in the context of both robots and unmanned vehicles in light of the DT paradigm. The article critically examines distinctions among existing URSs, offering valuable insights to aid researchers in selecting the most fitting tool for their specific applications. Additionally, the review explores the practical applications of the identified simulators, categorizing their usage across different fields to illuminate the preferences within the scientific community and showcase prominent case studies.","url":"https://doi.org/10.1109/access.2024.3370443","authors":["Nicolò Ciuccoli","Laura Screpanti","David Scaradozzi"],"tags":["Computer science","Underwater","Context (archaeology)","Submarine","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3370443","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3004134674","name":"Impact of cloud security in digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/bs.adcom.2019.09.005","authors":["N. Susila","Anand Sruthi","Sakthivel Usha"],"tags":["Cloud computing","Computer science","Product (mathematics)","Object (grammar)","Workload"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/bs.adcom.2019.09.005","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4321354548","name":"Digital twins for selecting the optimal ventilated strawberry packaging based on the unique hygrothermal conditions of a shipment from farm to retailer","source":"openalex","abstract":"Berries are one of the most challenging products to preserve after harvest due to their high perishability and short shelf life. Ventilated packaging plays a key role in maintaining fruit quality along the supply chain. However, every supply chain is composed of different unit operations, and every shipment encounters unique hygrothermal conditions such as air temperature fluctuations over time, sub-optimal humidity conditions, and the risk of condensation. Therefore, every supply chain has an optimal packaging that provides the best hygrothermal climate and ventilation to the fruit. Given the vast space of potential supply chain scenarios and packaging configurations, in-silico studies are an attractive alternative for selecting this optimal packaging. In this study, we developed physics-based digital twins for ventilated packaging of strawberries. We utilized measured air temperature and humidity data from an actual supply chain from the farm to the retail store. With these digital twins, we mimicked in-silico how the strawberries evolve hygrothermally, physiologically, and microbiologically along the supply chain inside 21 different types of ventilated packaging. We predicted actionable metrics of fruit quality and shelf life for these 21 packages. These metrics include total mass loss, risk of putative mold infection due to Botrytis cinerea, retention time of condensate, and remaining shelf life based on respiration, transpiration, and mold growth. In addition, we analyzed the impact of package-related metrics, such as total vent area, degree of filling, pressure drop across the package, and seven-eighths cooling time, on fruit quality metrics. With this approach, we pinpointed the critical quality loss points in the supply chain for every package. We identified the package that performs best in balancing the three-way trade-off between the respiration-driven biochemical shelf life, transpiration-driven physical shelf life, and mold growth-driven microbial shelf life of fruit. Our findings showed that the performance of open trays is comparable to ventilated clamshells, as long as a high humidity is maintained along the supply chain. Flow-wrapped packages presented the highest risk of condensation and microbial growth. We also quantified the spatial heterogeneity in fruit quality within the packages and highlighted the most vulnerable locations for quality loss inside each packaging type. Our study presents a novel, holistic approach to select the optimal ventilated packaging of strawberries from farm to retailer based on its measured hygrothermal fingerprint. This approach can help reduce food loss and contribute towards making supply chains smart and efficient.","url":"https://doi.org/10.1016/j.postharvbio.2023.112283","authors":["Chandrima Shrivastava","Seraina Schudel","Kanaha Shoji","Daniel Onwude","Fátima Pereira da Silva","Deniz Turan","M.J.M. Paillart","Thijs Defraeye"],"tags":["Supply chain","Shelf life","Cold chain","Environmental science","Postharvest"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-19","doi":"https://doi.org/10.1016/j.postharvbio.2023.112283","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4360992202","name":"Digital twin for healthy indoor environment: A vision for the post-pandemic era","source":"openalex","abstract":"Indoor environment has significant impacts on human health as people spend 90% of their time indoors. The COVID-19 pandemic and the increased public health awareness have further elevated the urgency for cultivating and maintaining a healthy indoor environment. The advancement in emerging digital twin technologies including building information modeling (BIM), Internet of Things (IoT), data analytics, and smart control have led to new opportunities for building design and operation. Despite the numerous studies on developing methods for creating digital twins and enabling new functionalities and services in smart building management, very few have focused on the health of indoor environment. There is a critical need for understanding and envisaging how digital twin paradigms can be geared towards healthy indoor environment. Therefore, this study reviews the techniques for developing digital twins and discusses how the techniques can be customized to contribute to public health. Specifically, the current applications of BIM, IoT sensing, data analytics, and smart building control technologies for building digital twins are reviewed, and the knowledge gaps and limitations are discussed to guide future research for improving environmental and occupant health. Moreover, this paper elaborates a vision for future research on integrated digital twins for a healthy indoor environment with special considerations of the above four emerging techniques and issues. This review contributes to the body of knowledge by advocating for the consideration of health in digital twin modeling and smart building services and presenting the research roadmap for digital twin-enabled healthy indoor environment.","url":"https://doi.org/10.1007/s42524-022-0244-y","authors":["Jiannan Cai","Jianli Chen","Yuqing Hu","Shuai Li","Qiang He"],"tags":["Built environment","Computer science","Analytics","Digital health","Building information modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-27","doi":"https://doi.org/10.1007/s42524-022-0244-y","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3110239654","name":"An effective architecture of digital twin system to support human decision making and AI‐driven autonomy","source":"openalex","abstract":"Abstract With the development of IoT technologies, digital twin has become an increasingly popular concept that is considered the next generation of digitalization for decision making support (human‐oriented) and even fully autonomous. However, although there are a few research projects that have proposed available digital twin architectures, they are either missing critical components or difficult to be converted into a practical application. In this article, everything we proposed had been implemented in our production environment and is facilitating our manufacturing and mining processes. It is initiated by a data analytic maturity model which formulates the evaluation route of data analytics. Then, a novel six‐layer digital twin model is established that aims to set the standards. In this model, we defined that all the automated calculation jobs should be driven by digital twin metadata such as the hyperparameters of machine learning. The metadata will be updated by metadata updating feedback flow which most current digital twin projects are missing.","url":"https://doi.org/10.1002/cpe.6111","authors":["Fahed Mostafa","Longquan Tao","Wenjin Yu"],"tags":["Metadata","Computer science","Analytics","Architecture","Metadata modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-27","doi":"https://doi.org/10.1002/cpe.6111","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3037134766","name":"A Simulation Algorithm of a Digital Twin for Manual Assembly Process","source":"openalex","abstract":"Digital twin (DT) is one of the key concepts for Industry 4.0 as it is a critical component in driving real-time simulation and decision making in complex systems. The existing scientific literature on Digital twin primarily refers to a product entity or a physical machine but the core concept can be applied to the entire product lifecycle, particularly the assembly process of a complex product system. In addition, majority of existing work focus on the Digital Twins of individual machines on a shop-floor. This paper focuses on aspects the process to build DTs of a production schedule for a complex defence weapon system. The process is inherently high variety and low quantity in a very manual assembly process. This paper consists of three elements. (1) It reviews the current state of art along with the research gap and discusses how DT can become a tool to the manual assembly process. (2) A data-driven simulation algorithm is proposed to model the complex and manual manufacturing process in a generic-reusable way. (3) Finally, an appropriate complex industrial case study is studied to exemplify the proposed framework. Results demonstrate that the production managers can make more informed early decisions that can help bring assembly schedules in check and limit wasteful efforts when disruptions in the supply chain of parts sourced for the assembly occur.","url":"https://doi.org/10.1016/j.promfg.2020.05.132","authors":["Hasan Latif","Binil Starly"],"tags":["Variety (cybernetics)","Process (computing)","Product (mathematics)","Schedule","Production schedule"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.promfg.2020.05.132","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4405739785","name":"Digital Twins of Business Processes: A Research Manifesto","source":"openalex","abstract":"Modern organizations necessitate continuous business processes improvement to maintain efficiency, adaptability, and competitiveness. In the last few years, the Internet of Things , via the deployment of sensors and actuators, has heavily been adopted in organizational and industrial settings to monitor and automatize physical processes influencing and enhancing how people and organizations work. Such advancements are now pushed forward by the rise of the Digital Twin paradigm applied to organizational processes. Advanced ways of managing and maintaining business processes come within reach as there is a Digital Twin of a business process - a virtual replica with real-time capabilities of a real process occurring in an organization. Combining business process models with real-time data and simulation capabilities promises to provide a new way to guide day-to-day organization activities. However, integrating Digital Twins and business processes is a non-trivial task, presenting numerous challenges and ambiguities. This manifesto paper aims to contribute to the current state of the art by clarifying the relationship between business processes and Digital Twins, identifying ongoing research and open challenges, thereby shedding light on and driving future exploration of this innovative interplay.","url":"https://doi.org/10.1016/j.iot.2024.101477","authors":["Fabrizio Fornari","Ivan Compagnucci","Massimo Callisto De Donato","Yannis Bertrand","Harry H. Beyel","Emilio Carrión","Marco Franceschetti","Wolfgang Groher","Joscha Grüger","Emre Kilic","Agnes Koschmider","Francesco Leotta"],"tags":["Manifesto","Computer science","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-24","doi":"https://doi.org/10.1016/j.iot.2024.101477","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4378908889","name":"Urban Digital Twin and urban planning for sustainable cities","source":"openalex","abstract":"Cities nowadays need to have long-term visions and perspectives to achieve the ambitious targets for which vast investments are being made. They need to act with competence and capability-based planning, and to come up with suitable solutions. Technology is unquestionably a factor of crucial importance when aiming for these targets. Digital innovation, based on data knowledge, analysis and projection, is crucial to tackle the most demanding challenges of our times. The methodological approach proposed here is an Urban Digital Twin applied to cities as a predictive model to obtain a projection of their development in terms of sustainability.","url":"https://doi.org/10.36253/techne-13568","authors":["Alessandra Barresi"],"tags":["Vision","Urban planning","Sustainability","Competence (human resources)","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-30","doi":"https://doi.org/10.36253/techne-13568","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4289705126","name":"5G Digital Twin: A Study of Enabling Technologies","source":"openalex","abstract":"5G networks require dynamic network monitoring and advanced security solutions. This work performs the essential steps to implement a basic 5G digital twin (DT) in a warehouse scenario. This study provides a paradigm of end-to-end connection and encryption to internet of things (IoT) devices. Network function virtualization (NFV) technologies are crucial to connecting and encrypting IoT devices. Innovative logistical scenarios are undergoing constant changes in logistics, and higher deployment of IoT devices in logistic scenarios, such as warehouses, demands better communication capabilities. The simulation tools enable digital twin network implementation in planning. Altair Feko (WinProp) simulates the radio behavior of a typical warehouse framework. The radio behavior can be exported as a radio simulation dataset file. This dataset file represents the virtual network’s payload. GNS3, an open-source network simulator, performs data payload transmission among clients to servers using custom NFV components. By transmitting data from client to server, we achieved end-to-end communication. Additionally, custom NFV components enable advanced encryption standard (AES) adoption. In summary, this work analyzes the round-trip time (RTT) and throughput of the payload data packages, in which two data packages, encrypted and non-encrypted, are observed.","url":"https://doi.org/10.3390/app12157794","authors":["Ramiro Ramirez","Chien‐Yi Huang","Shu-Hao Liang"],"tags":["Computer science","Encryption","Payload (computing)","Cloud computing","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-03","doi":"https://doi.org/10.3390/app12157794","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4309778777","name":"Synergistic halide-sulfide hybrid solid electrolytes for Ni-rich cathodes design guided by digital twin for all-solid-State Li batteries","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ensm.2022.11.038","authors":["Jong Seok Kim","Seungwon Jung","Hiram Kwak","Yoonjae Han","Suhwan Kim","Jongwoo Lim","Yong Min Lee","Yoon Seok Jung"],"tags":["Materials science","Cathode","Electrolyte","Halide","Sulfide"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-21","doi":"https://doi.org/10.1016/j.ensm.2022.11.038","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4309470594","name":"A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2022.102489","authors":["Jianhao Lv","Xinyu Li","Yicheng Sun","Yu Zheng","Jinsong Bao"],"tags":["LIDA","Computer science","Process (computing)","Architecture","Predictive maintenance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-15","doi":"https://doi.org/10.1016/j.rcim.2022.102489","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4401485792","name":"From data to action in flood forecasting leveraging graph neural networks and digital twin visualization","source":"openalex","abstract":"Forecasting floods encompasses significant complexity due to the nonlinear nature of hydrological systems, which involve intricate interactions among precipitation, landscapes, river systems, and hydrological networks. Recent efforts in hydrology have aimed at predicting water flow, floods, and quality, yet most methodologies overlook the influence of adjacent areas and lack advanced visualization for water level assessment. Our contribution is two-fold: firstly, we introduce a graph neural network model (LocalFLoodNet) equipped with a graph learning module to capture the interconnections of water systems and the connectivity between stations to predict future water levels. Secondly, we develop a simulation prototype offering visual insights for decision-making in disaster prevention and policy-making. This prototype visualizes predicted water levels and facilitates data analysis using decades of historical information. Focusing on the Greater Montreal Area (GMA), particularly Terrebonne, Quebec, Canada, we apply LocalFLoodNet and prototype to demonstrate a comprehensive method for assessing flood impacts. By utilizing a digital twin of Terrebonne, our simulation tool allows users to interactively modify the landscape and simulate various flood scenarios, thereby providing valuable insights into preventive strategies. This research aims to enhance water level prediction and evaluation of preventive measures, setting a benchmark for similar applications across different geographic areas.","url":"https://doi.org/10.1038/s41598-024-68857-y","authors":["Naghmeh Shafiee Roudbari","Shubham Rajeev Punekar","Zachary Patterson","Ursula Eicker","Charalambos Poullis"],"tags":["Computer science","Visualization","Flood myth","Benchmark (surveying)","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-10","doi":"https://doi.org/10.1038/s41598-024-68857-y","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4407251393","name":"Urban flooding digital twin system framework","source":"openalex","abstract":"Digital twin-based resilience management systems are essential for improving urban flooding resilience, enabling lifecycle-oriented emergency management as a continuous process rather than discrete phases. However, to the best of our knowledge, currently, there lacks a system framework for supporting the development of an urban flooding digital twin (UFDT) platform capable of managing urban flooding events across the entire management lifecycle. This UFDT framework is required to (1) accommodate UFDT model-generation methods/tools for preparing what-if scenarios, (2) support readiness simulations and evaluations, (3) coordinate various collaborative prevention and intervention services from different stakeholders in response to any flooding emergence, and (4) monitor and forecast the flooding risks in the recovery phase. To fill this gap, in this paper, a new UFDT system framework is developed based on a user-centred product design process with the consideration of the above requirements. It has two key components: a UFDT conceptual model, and a generative methodology for its rapid construction/updating/adaptation to varying levels of detail. A framework prototype has been developed for testing the conceptual model at city, regional and street levels and exemplar generative methods/tools to assess the framework’s ability and potential to provide scalable, adaptable, and stakeholder-focused solutions to urban flooding resilience management[Q1].","url":"https://doi.org/10.1080/21642583.2025.2460432","authors":["Chenyu Ge","Shengfeng Qin"],"tags":["Flooding (psychology)","Computer science","Geography","Civil engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-07","doi":"https://doi.org/10.1080/21642583.2025.2460432","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4317538611","name":"On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond","source":"openalex","abstract":"A Network Digital Twin (NDT) is a high-fidelity digital mirror of a real network. Given the increasing complexity of 5G and beyond networks, the use of an NDT becomes useful as a platform for testing configurations and algorithms prior to their application in the real network, as well as for predicting the performance of such algorithms under different conditions. While an NDT can be defined for the different subsystems of the network, this paper proposes an NDT architecture focusing on the Radio Access Network (RAN), describing the components to represent and model the operation of the different RAN elements, and to perform emulations. Different application use cases are identified, and among them, the paper puts the focus on the training of Reinforcement Learning (RL) solutions for the RAN. For this use case, the paper introduces a framework aligned with O-RAN specifications and discusses the functionalities needed to integrate the NDT. This use case is illustrated with the description of a RAN NDT implementation used for training an RL-based capacity-sharing solution for network slicing. Presented results demonstrate that the implemented RAN NDT is a suitable platform to successfully train the RL solution, achieving service-level agreement satisfaction values above 85%.","url":"https://doi.org/10.3390/s23031197","authors":["Irene Vilà","O. Sallent","J. Pérez-Romero"],"tags":["Nondestructive testing","Radio access network","Computer science","Fidelity","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-20","doi":"https://doi.org/10.3390/s23031197","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4403967422","name":"Research on digital twin monitoring system during milling of large parts","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.10.027","authors":["Yao Lu","Caixu Yue","Xianli Liu","Lihui Wang","Steven Y. Liang","Wei Xia","Xueping Dou"],"tags":["Engineering drawing","Engineering","Mechanical engineering","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-01","doi":"https://doi.org/10.1016/j.jmsy.2024.10.027","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4225011400","name":"Digital Twin for HIV-Gag VLP Production in HEK293 Cells","source":"openalex","abstract":"The development and adoption of digital twins (DT) for Quality-by-Design (QbD)-based processes with flexible operating points within a proven acceptable range (PAR) and automation through Advanced Process Control (APC) with Process Analytical Technology (PAT) instead of conventional process execution based on offline analytics and inflexible process set points is one of the great challenges in modern biotechnology. Virus-like particles (VLPs) are part of a line of innovative drug substances (DS). VLPs, especially those based on human immunodeficiency virus (HIV), HIV-1 Gag VLPs, have very high potential as a versatile vaccination platform, allowing for pseudotyping with heterologous envelope proteins, e.g., the S protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As enveloped VLPs, optimal process control with minimal hold times is essential. This study demonstrates, for the first time, the use of a digital twin for the overall production process of HIV-1 Gag VLPs from cultivation, clarification, and purification to lyophilization. The accuracy of the digital twins is in the range of 0.8 to 1.4% in depth filtration (DF) and 4.6 to 5.2% in ultrafiltration/diafiltration (UFDF). The uncertainty due to variability in the model parameter determination is less than 4.5% (DF) and less than 3.8% (UFDF). In the DF, a prediction of the final filter capacity was demonstrated from as low as 5.8% (9mbar) of the final transmembrane pressure (TMP). The scale-up based on DT in chromatography shows optimization potential in productivity up to a factor of 2. The schedule based on DT and PAT for APC has been compared to conventional process control, and hold-time and process duration reductions by a factor of 2 have been achieved. This work lays the foundation for the short-term validation of the DT and PAT for APC in an automated S7 process environment and the conversion from batch to continuous production.","url":"https://doi.org/10.3390/pr10050866","authors":["Alina Hengelbrock","Heribert Helgers","A. Schmidt","Florian Lukas Vetter","Alex Juckers","Jamila Franca Rosengarten","Jörn Stitz","Jochen Strube"],"tags":["Diafiltration","Ultrafiltration (renal)","Process analytical technology","Biomanufacturing","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-27","doi":"https://doi.org/10.3390/pr10050866","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4393385780","name":"Exploiting microservices and serverless for Digital Twins in the cloud-to-edge continuum","source":"openalex","abstract":"R4.2 In the Industry 4.0 era, Digital Twins (DTs) serve as virtual representations of physical objects and intermediaries between the physical world and the digital realm. DTs require proper modeling, design, and development to ensure their seamless integration along the cloud-to-edge continuum. In particular, this work introduces a microservices-based and serverless-ready model for DTs, laying the foundation for cost-effective DT deployment and orchestration. The joint adoption of microservices and serverless computing offers significant potential to address various challenges, including accommodating variable application requirements, managing load imbalances, and mitigating network faults. The proposed DT model has been implemented in different flavors: two serverless implementations—one that relies on a serverless framework of a cloud provider and one running at the edge on-premises—and a microservices one. These implementations have been experimentally evaluated with particular emphasis on the quality of cyber–physical entanglement. This work not only discusses the advantages and drawbacks of different implementations from a qualitative perspective but also quantitatively evaluates them with the in-the-field collection of experimental performance results. Notably, we report that a serverless implementation typically performs an order of magnitude worse than a microservices one in terms of entanglement, i.e., hundreds vs. tens of milliseconds.","url":"https://doi.org/10.1016/j.future.2024.03.052","authors":["Paolo Bellavista","Nicola Bicocchi","Mattia Fogli","Carlo Giannelli","Marco Mamei","Marco Picone"],"tags":["Microservices","Computer science","Implementation","Cloud computing","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-01","doi":"https://doi.org/10.1016/j.future.2024.03.052","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2999367907","name":"Towards Adaptive Enterprises Using Digital Twins","source":"openalex","abstract":"Modern enterprises are large complex systems operating in highly dynamic environments thus requiring quick response to a variety of change drivers. Moreover, they are systems of systems wherein understanding is available in localized contexts only and that too is typically partial and uncertain. With the overall system behaviour hard to know a-priori and conventional techniques for system-wide analysis either lacking in rigour or defeated by the scale of the problem, the current practice often exclusively relies on human expertise for monitoring and adaptation. We present an approach that combines ideas from modeling & simulation, reinforcement learning and control theory to make enterprises adaptive. The approach hinges on the concept of Digital Twin - a set of relevant models that are amenable to analysis and simulation. The paper describes illustration of approach in two real world use cases.","url":"https://doi.org/10.1109/wsc40007.2019.9004956","authors":["Vinay Kulkarni","Souvik Barat","Tony Clark"],"tags":["Rigour","Computer science","Variety (cybernetics)","Adaptation (eye)","A priori and a posteriori"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-01","doi":"https://doi.org/10.1109/wsc40007.2019.9004956","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3084332778","name":"Built Environment Digital Twinning","source":"openalex","abstract":"Report of the International Workshop on Built Environment Digital Twinning presented by TUM Institute for Advanced Study and Siemens AG","url":"https://openalex.org/W3084332778","authors":["Ioannis Brilakis"],"tags":["Crystal twinning","Computer science","Materials science","Metallurgy","Microstructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"","doi":"","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4313032284","name":"Efficient Procedure of Building University Campus Models for Digital Twin Simulation","source":"openalex","abstract":"Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications, especially for simulation and visualization. However, the visual fidelity of this first step is often neglected, since the effort involved is counterproductive to the main research focus. In this paper, we explore different tools and resources to assemble an efficient and convenient procedure to create a 3D digital model of a university campus that can support digital twin applications. Specifically, the terrain, buildings, and road network are combined into the CARLA project on Unreal Engine, enabling computer vision, traffic simulation, and autonomous driving experimentation.","url":"https://doi.org/10.1109/jrfid.2022.3212957","authors":["Talha Azfar","Jeffrey Weidner","Adeeba Raheem","Ruimin Ke","Ruey Long Cheu"],"tags":["Computer science","Terrain","Focus (optics)","Visualization","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/jrfid.2022.3212957","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3198310182","name":"Augmented Reality and the Digital Twin: State-of-the-Art and Perspectives for Cybersecurity","source":"openalex","abstract":"The rapid advancements of technology related to the Internet of Things and Cyber-Physical Systems mark an ongoing industrial revolution. Digital Twins and Augmented Reality play a significant role in this technological advancement. They are highly complementary concepts enabling the representation of physical assets in the digital space (Digital Twin) and the augmentation of physical space with digital information (Augmented Reality). Throughout the last few years, research has picked up on this and explored the possibilities of combining DT and AR. However, cybersecurity scholars have not yet paid much attention to this combined-arms approach, despite its potential. Especially, concerning contemporary security challenges, such as developing cyber situational awareness and including human factors into cybersecurity, AR and DT, offer tremendous potential for improvement. In this work, we systematize existing knowledge on AR-powered DTs and shed light on why and how cybersecurity could benefit from this combination.","url":"https://doi.org/10.3390/jcp1030026","authors":["Fabian Böhm","Marietheres Dietz","Tobias Preindl","Günther Pernul"],"tags":["Augmented reality","Situation awareness","Cyber-physical system","Computer security","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-09","doi":"https://doi.org/10.3390/jcp1030026","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4312818954","name":"Eco-Friendly Low Resource Security Surveillance Framework Toward Green AI Digital Twin","source":"openalex","abstract":"Most intelligent systems focused on how to improve performance including accuracy, processing speed with a massive number of data sets and those performance-biased intelligent systems, Red AI systems, have been applied to digital twin in smart cities. On the other hand, it is highly reasonable to consider Green AI features covering environmental, economic, social costs for advanced digital twin services. In this letter, we propose eco-friendly low resource security surveillance toward Green AI-enabled digital twin service, which provides eco-friendly security by the active participation of low resource devices. And, we formally define a problem whose objective is to maximize the participation of low source or reusable devices such that reusable surveillance borders are created within security district. Also, a dense sub-district with low resource devices priority completion scheme is proposed to resolve the problem. Then, the devised method is performed by expanded simulations and the achieved result is evaluated with demonstrated discussions.","url":"https://doi.org/10.1109/lcomm.2022.3218050","authors":["Hyunbum Kim","Jalel Ben‐Othman"],"tags":["Computer science","Resource (disambiguation)","Scheme (mathematics)","Computer security","Resource efficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-04","doi":"https://doi.org/10.1109/lcomm.2022.3218050","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4306407044","name":"Digital twin‐assisted fault diagnosis system for robot joints with insufficient data","source":"openalex","abstract":"Abstract The robot joint is an important component of the construction robot, and its fault diagnosis can ensure the exact execution of building jobs, stable operation, and timely prevention of probable safety mishaps. However, deep learning‐based fault diagnosis needs a multitude of measured fault data, which is difficult to obtain for various reasons. To solve the problem of insufficient data, a digital twin‐assisted fault diagnosis system for robot joints is proposed. First, a simplified dynamics model of the robot joint is developed to generate the virtual entity data which can be used as the X‐domain data for the digital twin model. Second, a CycleGAN‐based digital twin model is proposed to map the virtual entity (X‐domain) data to the physical entity (Y‐domain) utilizing only a small amount of measured data. In the end, a test‐rig for the robot joint is built to simulate the robot's working conditions, and the CNN‐ResNet classifier is utilized to verify the effectiveness of the simulated data generated by the digital twin model. The results show that the fault diagnosis accuracy can be increased from 32.5% to 98.86% utilizing only 400 sets of measured data.","url":"https://doi.org/10.1002/rob.22127","authors":["Zelong Song","Huaitao Shi","Xiaotian Bai","Guowei Li"],"tags":["Robot","Computer science","Fault (geology)","Artificial intelligence","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-17","doi":"https://doi.org/10.1002/rob.22127","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3158776800","name":"Modelling cycle for simulation digital twins","source":"openalex","abstract":"Digital twins (DT) form part of the Industry 4.0 revolution within manufacturing and related industries. A DT is a digital model (DM) of a real system that features continuous and automated synchronisation and feedback of optimisations between the real and digital domains. A core technology for predictive capabilities from DT is discrete event simulation (DES). The modelling cycle for developing and analysing DES models is significantly different compared to DM. A DT specific DES modelling cycle is introduced that is evolved from that of DM. The availability of specialised software tools for DT tailored to these differences would benefit industry.","url":"https://doi.org/10.1016/j.mfglet.2021.04.004","authors":["Sean Reed","Magnus Löfstrand","John Andrews"],"tags":["Computer science","Core (optical fiber)","Software","Discrete event simulation","Event (particle physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-01","doi":"https://doi.org/10.1016/j.mfglet.2021.04.004","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4379471822","name":"Digital Twin Implementation for Manufacturing of Adjuvants","source":"openalex","abstract":"Pharmaceutical manufacturing processes are moving towards automation and real-time process monitoring with the help of process analytical technologies (PATs) and predictive process models representing the real system. In this paper, we present a digital twin developed for an adjuvant manufacturing process involving a microfluidic formation of lipid particles. The twin uses a hybrid model for estimating the current state of the process and predicting system behavior in real time. The twin is used to control the adjuvant particle size, a critical quality attribute, by varying process parameters such as the temperature and inlet flow rates. We describe steps in the design and implementation of the twin, starting from the conception of the mechanistic model, up to the generation of its surrogate model used as state estimator, PATs and the setup of the information technology—Operational technology architecture. We demonstrate the performance of the twin by introducing different disturbances in the process and comparing the effect on the product critical quality attributes with and without the control of the digital twin. Finally, we showcase the digital twin implementation for the process in good manufacturing practice, through an engineering run, which demonstrated the robustness of the process when controlled by the digital twin.","url":"https://doi.org/10.3390/pr11061717","authors":["Poonam Phalak","Emanuele Tomba","Philippe Jehoulet","André Kapitan-Gnimdu","Pablo Martin Soladana","Loredana Vagaggini","Maxime Brochier","Ben Stevens","Thomas Peel","Laurent Strodiot","Sandrine Dessoy"],"tags":["Critical quality attributes","Computer science","Process (computing)","Robustness (evolution)","Process modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-03","doi":"https://doi.org/10.3390/pr11061717","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4387123922","name":"Improving completeness and accuracy of 3D point clouds by using deep learning for applications of digital twins to civil structures","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2023.102196","authors":["Shihong Chen","Gao Fan","Jun Li"],"tags":["Point cloud","Computer science","Consistency (knowledge bases)","Completeness (order theory)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-28","doi":"https://doi.org/10.1016/j.aei.2023.102196","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4372271762","name":"An effective energy management Layout-Based reinforcement learning for household demand response in digital twin simulation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.solener.2023.04.051","authors":["Huafeng Liu","Qine Liu","Chaoping Rao","Fei Wang","Fahad Alsokhiry","Alexey V. Shvetsov","Mohamed A. Mohamed"],"tags":["Computer science","Reinforcement learning","Demand response","Energy consumption","Fuzzy logic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-05","doi":"https://doi.org/10.1016/j.solener.2023.04.051","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4200351872","name":"Using a Digital Twin of an Electrical Stimulation Device to Monitor and Control the Electrical Stimulation of Cells in vitro","source":"openalex","abstract":"Electrical stimulation for application in tissue engineering and regenerative medicine has received increasing attention in recent years. A variety of stimulation methods, waveforms and amplitudes have been studied. However, a clear choice of optimal stimulation parameters is still not available and is complicated by ambiguous reporting standards. In order to understand underlying cellular mechanisms affected by the electrical stimulation, the knowledge of the actual prevailing field strength or current density is required. Here, we present a comprehensive digital representation, a digital twin, of a basic electrical stimulation device for the electrical stimulation of cells in vitro. The effect of electrochemical processes at the electrode surface was experimentally characterised and integrated into a numerical model of the electrical stimulation. Uncertainty quantification techniques were used to identify the influence of model uncertainties on relevant observables. Different stimulation protocols were compared and it was assessed if the information contained in the monitored stimulation pulses could be related to the stimulation model. We found that our approach permits to model and simulate the recorded rectangular waveforms such that local electric field strengths become accessible. Moreover, we could predict stimulation voltages and currents reliably. This enabled us to define a controlled stimulation setting and to identify significant temperature changes of the cell culture in the monitored voltage data. Eventually, we give an outlook on how the presented methods can be applied in more complex situations such as the stimulation of hydrogels or tissue in vivo.","url":"https://doi.org/10.3389/fbioe.2021.765516","authors":["Julius Zimmermann","Kai Budde","Nils Arbeiter","Francia Molina","Alexander Storch","Adelinde M. Uhrmacher","Ursula van Rienen"],"tags":["Stimulation","In vitro","Biomedical engineering","Materials science","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-08","doi":"https://doi.org/10.3389/fbioe.2021.765516","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4317792702","name":"Simulation: the Critical Technology in Digital Twin Development","source":"openalex","abstract":"Digital twins are virtual representations of physical entities and processes. They aid in deriving insights to control entities and processes in the digital world and use those insights to drive actions in the physical world. Simulation is one of the key enabling technologies that lie at the heart of digital twin development, as it provides enhanced visibility into future performance and the ability to identify profit-optimal decisions. This tutorial describes how we envision the digital twins developed in industry and the pivotal role simulation plays in their development. Using supply chain digital twins as an example application, we introduce our digital twin framework that simulation practitioners might find useful when developing their digital twin solutions to understand what did happen, predict what may happen, and determine solutions to fix future problems before they happen. We conclude with simulation research streams that contribute to the use of simulation in digital twin development.","url":"https://doi.org/10.1109/wsc57314.2022.10015246","authors":["Bahar Biller","Wendy Xi Jiang","Jinxin Yi","Paul Venditti","Stephan Biller"],"tags":["Computer science","Key (lock)","Supply chain","Data science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-11","doi":"https://doi.org/10.1109/wsc57314.2022.10015246","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3214567333","name":"Digital Twin Integration in Multi-Agent Cyber Physical Manufacturing Systems","source":"openalex","abstract":"Complex manufacturing and supply chain systems consist of concurrent labour-intensive processes and procedures with repetitive time-consuming tasks and multiple quality checks. These features may pose challenges for the efficient operation and management, while manual tasks may significantly increase human errors or near misses, having impact on the propagation of effects and parallel interactions within these systems. In order to handle the aforementioned challenges, a digital twin (DT) integrated in a multi-agent cyber-physical manufacturing system (CPMS) with the help of RFID technology is proposed. The proposed reference architecture tends to improve the trackability and traceability of complex manufacturing processes. In this research work, the interactions occurring both within a single complex manufacturing system and between multiple sites within a supply chain are considered. For the implementation of the integrated DT-CPMS, a simulation model employing the agent-based modelling technique is developed. A case study from a cryogenic supply chain in the UK is also selected to show the application and validity of the proposed digital solution. The results prove that the DT-CPMS architecture can improve system’s performance in terms of human, equipment and space utilisations.","url":"https://doi.org/10.1016/j.ifacol.2021.08.096","authors":["Christina Latsou","Maryam Farsi","John Ahmet Erkoyuncu","Geoffrey Morris"],"tags":["Traceability","Supply chain","Computer science","Cyber-physical system","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.08.096","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4407741560","name":"Physics-driven cross domain digital twin framework for bearing fault diagnosis in non-stationary conditions","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ymssp.2024.112266","authors":["Dandan Peng","Mahsa Yazdanianasr","Alexandre Mauricio","Toby Verwimp","Wim Desmet","Konstantinos Gryllias"],"tags":["Bearing (navigation)","Fault (geology)","Domain (mathematical analysis)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-19","doi":"https://doi.org/10.1016/j.ymssp.2024.112266","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3203568412","name":"Digital Twins Enabled Remote Laboratory Learning Experience for Mechatronics Education","source":"openalex","abstract":"Laboratory intensive assignments and hands-on skills are important components in Mechatronics and Control Engineering by their nature. Like many other educational services, lots of the contents including laboratory studies are switched to remote learning due to COVID-19. In this work, the need for remote laboratory assignments is transformed into an opportunity to use Digital Twins in the education effectively. Laboratory assignments are designed on top of the concept of Digital Twin applications for the course “ME-142: Mechatronics” at the University of California, Merced. Basic mechatronics simulation skills are enhanced using the foundational applications in MATLAB/Simulink. After students reached high confidence level in the simulation environment, the concept of Digital Twins is introduced for subsequent laboratory assignments consisting identification, modeling, analysis, controller design and validation. Through the end of the semester, students are expected to work in groups of six for the course project to create their own applications of Digital Twin for a variety of systems. Finally, Digital Twin applications are posted online using MATLAB Web App Server to enhance accessibility and compensate the lack of hardware interaction.","url":"https://doi.org/10.1109/dtpi52967.2021.9540196","authors":["Furkan Guc","Jairo Viola","YangQuan Chen"],"tags":["Mechatronics","Computer science","Remote laboratory","Multimedia","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-15","doi":"https://doi.org/10.1109/dtpi52967.2021.9540196","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3008075714","name":"Parallel Societies: A Computing Perspective of Social Digital Twins and Virtual–Real Interactions","source":"openalex","abstract":"Welcome to the first issue of the IEEE Transactions on Computational Social Systems (TCSS) of 2020, and Happy New Year to You! We would like to take this opportunity to express our sincere thanks to our editors, reviewers, authors, and readers for your great support and effort devoted to the TCSS, along with our best wish and hope that everyone has a happy, healthy, and fruitful 2020.","url":"https://doi.org/10.1109/tcss.2020.2970305","authors":["Fei–Yue Wang","Rui Qin","Juanjuan Li","Yong Yuan","Xiao Wang"],"tags":["Perspective (graphical)","Computer science","Data science","Wish","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-01","doi":"https://doi.org/10.1109/tcss.2020.2970305","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4200500961","name":"Universal Digital Twin – the impact of heat pumps on social inequality","source":"openalex","abstract":"This paper investigates how using heat pumps for domestic heating would impact fuel poverty and social inequality. The analysis integrates a geospatial description of climate observations, gas and electricity infrastructure, energy consumption and fuel poverty from the base world of a Universal Digital Twin based on the World Avatar knowledge graph. Historic temperature data were used to estimate the temporal and geospatial variation of the performance of air source heat pumps in the UK. The corresponding change in gas and electricity consumption that could be achieved using heat pumps instead of gas for domestic heating was estimated. The geospatial impact of the heat pumps was assessed in terms of CO2 savings, and their effect on fuel cost and fuel poverty. Whilst heat pumps would reduce emissions, it is predicted that they would increase fuel costs. It was shown that both local and regional areas of high fuel poverty would experience some of the largest increases in fuel cost. This illustrates the potential for the transition to sustainable heating to exacerbate social inequality. The analysis suggests that existing regional inequalities will increase, and that it comes down to a political choice between investments to support the most effective use of heat pumps, and delayed investments to counter social inequality. The ability of the World Avatar to integrate the models and data necessary to perform this type of holistic analysis provides a means to generate actionable information, for example, to enable local policy interventions to address the tension between social and environmental goals.","url":"https://doi.org/10.1016/j.adapen.2021.100079","authors":["Thomas Savage","Jethro Akroyd","Sebastian Mosbach","Michael Hillman","Franziska Sielker","Markus Kraft"],"tags":["Geospatial analysis","Fuel poverty","Environmental economics","Poverty","Electricity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-09","doi":"https://doi.org/10.1016/j.adapen.2021.100079","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4285144285","name":"Digital-Twin-Enabled City-Model-Aware Deep Learning for Dynamic Channel Estimation in Urban Vehicular Environments","source":"openalex","abstract":"Most of the existing works on vehicle-to-everything (V2X) communications assume some deterministic or stochastic channel models, which is unrealistic for highly-dynamic vehicular channels in urban environments under the influence of high-speed vehicle motion, intermittent connectivity, and signal attenuation in urban canyon. Enabled by the concept of digital twin, the digital replica of a real-world physical system, this paper proposes a city-model-aware deep learning algorithm for dynamic channel estimation in urban vehicular environments. Specifically, the digital twin simulation allows us to accurately model radio ray reflection and attenuation in urban canyon, and the data can be supplemented and validated with empirical measurements. Our results indicates that the city-model-aware deep neural network (CMA DNN) estimator performs much better than conventional methods and has more than 32% improvement in BER when compared with generic DNN approaches that do not take the 3D city model into account. Since some geometry-based models like ray-tracing techniques used in the digital twin simulation for dynamic channel modeling could be computational expensive, we also propose a basis expansion model (BEM) approach to simplify the computation load of the overall methodology to gain a good balance between accuracy and timeliness.","url":"https://doi.org/10.1109/tgcn.2022.3173414","authors":["Cao Ding","Ivan Wang‐Hei Ho"],"tags":["Computer science","Channel (broadcasting)","Estimator","Canyon","Replica"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-09","doi":"https://doi.org/10.1109/tgcn.2022.3173414","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4312544813","name":"The Vehicle Testing Based on Digital Twins Theory for Autonomous Vehicles","source":"openalex","abstract":"Digital twins theory can provide an effective solution for the complex whole vehicle testing, which includes the dynamics and scenarios. The parallel system is the most advanced method for implementing parallel control theory. In this paper, it introduces the virtual systems established by digital modeling the autonomous driving vehicle and scenario, it introduces a connection between virtual system and the real system. There are two engineering applications based on digital twins and parallel intelligence to test the whole vehicle efficiently,its testing advantages and testing coverage.","url":"https://doi.org/10.1109/jrfid.2022.3211565","authors":["Zhangjie Meng","Shulian Zhao","Hua Chen","Mengxia Hu","Yichao Tang","Yongxiong Song"],"tags":["Computer science","Simulation","Control engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/jrfid.2022.3211565","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4392589950","name":"Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks","source":"openalex","abstract":"Tremendous effort has been devoted toward developing automated post-earthquake inspection techniques, including automated image collection and damage identification. However, few studies have attempted to establish the complex relationship between visible damage and structural conditions. Moreover, the lack of training data further hinders the potential use of deep learning algorithms. This paper proposes a framework, termed Bidirectional Graphics-based Digital Twin (Bi-GBDT), that allows for assessment of the structural condition based on post-earthquake photographic surveys. The procedure contains two parts: (i) A GBDT of a target structure, containing a computer graphics model and a finite element (FE) model, is developed (ii) Synthetic data subsequently is generated from the GBDT to train neural networks to predict the damage measures and structural conditions. To demonstrate the proposed approach, a seismically-designed reinforced concrete shear wall is considered. First, the GBDT of the shear wall is constructed and calibrated so that the associated damage patterns simulated by the corresponding FE model match well with the experimental results. Next, synthetic images of the damage patterns are created from the validated GBDT, along with the corresponding structural damage measures, and used to train Residual Neural Network and Conditional Generative Adversarial Networks to determine the maximum drift, the stress/strain fields and the structural condition. The neural networks trained on synthetic data are shown to perform well for the experimental data, confirming the proposed approach. Subsequently, the neural networks are tested on the synthetic data for a wide variety of loading conditions to demonstrate the robustness of the approach. In addition, the realistic images rendered from the GBDT are utilized as input to predict the structural condition, showcasing the comprehensive Bi-GBDT framework. These results demonstrate the efficacy of the proposed approach to generate accurate digital twins and point toward its future application for development of automated post-earthquake assessment strategies.","url":"https://doi.org/10.1177/14759217241231299","authors":["Guanghao Zhai","Yongjia Xu","Billie F. Spencer"],"tags":["Computer science","Robustness (evolution)","Artificial neural network","Computer graphics","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-08","doi":"https://doi.org/10.1177/14759217241231299","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4376869092","name":"Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ins.2023.119169","authors":["Xinzheng Feng","Jun Wu","Yulei Wu","Jianhua Li","Wu Yang"],"tags":["Computer science","Computer security","Robustness (evolution)","Industrial Internet","Edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-17","doi":"https://doi.org/10.1016/j.ins.2023.119169","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2970028208","name":"Towards Architecting Digital Twin-Pervaded Systems","source":"openalex","abstract":"Digital twins are virtual models for representing, monitoring, and controlling real-world products, entities, and processes, and are fundamental for enabling digitalization and continuous engineering processes. The usage of digital twins for engineering software-intensive systems will significantly change current business models, development approaches, and technologies. In this regard, the application scenarios and starting conditions for companies to introduce digital twins are manifold depending on their experience in software and system engineering, the maturity of their development processes, and the strategic management support and motivation. This article describes (i) challenges and impacts on the system development activities and architecture design approaches that are caused by the introduction and exploitation of digital twins, and also (ii) proposals for tailoring and extending traditional architecture-centric engineering processes to consider digital twin concepts.","url":"https://doi.org/10.1109/sesos/wdes.2019.00018","authors":["Thomas Bauer","Pablo Oliveira Antonino","Thomas Kühn"],"tags":["Computer science","Architecture","Software engineering","Systems engineering","Maturity (psychological)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-01","doi":"https://doi.org/10.1109/sesos/wdes.2019.00018","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4409623184","name":"Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ymssp.2025.112770","authors":["Hui Ma","Caizi Fan","Yongchao Zhang","Qibin Wang","Kun Yu","Zeyu Ma"],"tags":["State (computer science)","Fault (geology)","Engineering","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1016/j.ymssp.2025.112770","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4406650129","name":"AIoT-powered building digital twin for smart firefighting and super real-time fire forecast","source":"openalex","abstract":"• Propose a framework of AIoT-integrated Digital Twin for the full-scale three-story building. • Apply ADLSTM-Fire model to transform point-sensor arrays into spatiotemporal temperature field. • Super real-time fire forecast of hazardous floor regions to support smart firefighting and rescue operation. • Full-scale building fire experiments demonstrate smart system validity and generalization capability. Complex dynamics inherent of building fire poses big challenges to firefighting and rescue, especially with limited access to critical fire-hazard information. This work proposes the novel AIoT-integrated Digital Twin for the full-scale multi-floor building to manage the dynamics fire information. This system allows for super real-time mapping of actual building fires into accurate and concise digital fire scene at the cloud platform. By developing the ADLSTM-Fire model, we effectively transform discrete sensor-array data into high-dimensional spatiotemporal temperature fields in real-time, and furthermore, forecast future fire development and hazardous regions 60 s in advance. By comparing with benchmark numerical simulations, the Digital Twin system demonstrates the high reliability of super real-time fire-scene reconstruction and the capacity of fire-risk forecasting in supporting firefighting. The full-scale building fire experiment is employed to validate the generalisation capability of the proposed smart firefighting method. This work demonstrates the great potential and robustness of AIoT and digital twin in support smart firefighting and reducing fire casualties by information fusion.","url":"https://doi.org/10.1016/j.aei.2025.103117","authors":["Weikang Xie","Yanfu Zeng","Xiaoning Zhang","Ho Yin Wong","Tianhang Zhang","Zilong Wang","Xiqiang Wu","Jihao Shi","Xinyan Huang","Fu Xiao","Asif Usmani"],"tags":["Firefighting","Architectural engineering","Computer science","Wildfire suppression","Aeronautics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-21","doi":"https://doi.org/10.1016/j.aei.2025.103117","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4391450304","name":"Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis","source":"openalex","abstract":"The integration of artificial intelligence (AI) with Digital Twins (DTs) has emerged as a promising approach to revolutionize healthcare, particularly in terms of diagnosis and management of thoracic disorders. This study proposes a comprehensive framework, named Lung-DT, which leverages IoT sensors and AI algorithms to establish the digital representation of a patient's respiratory health. Using the YOLOv8 neural network, the Lung-DT system accurately classifies chest X-rays into five distinct categories of lung diseases, including \"normal\", \"covid\", \"lung_opacity\", \"pneumonia\", and \"tuberculosis\". The performance of the system was evaluated employing a chest X-ray dataset available in the literature, demonstrating average accuracy of 96.8%, precision of 92%, recall of 97%, and F1-score of 94%. The proposed Lung-DT framework offers several advantages over conventional diagnostic methods. Firstly, it enables real-time monitoring of lung health through continuous data acquisition from IoT sensors, facilitating early diagnosis and intervention. Secondly, the AI-powered classification module provides automated and objective assessments of chest X-rays, reducing dependence on subjective human interpretation. Thirdly, the twin digital representation of the patient's respiratory health allows for comprehensive analysis and correlation of multiple data streams, providing valuable insights as to personalized treatment plans. The integration of IoT sensors, AI algorithms, and DT technology within the Lung-DT system demonstrates a significant step towards improving thoracic healthcare. By enabling continuous monitoring, automated diagnosis, and comprehensive data analysis, the Lung-DT framework has enormous potential to enhance patient outcomes, reduce healthcare costs, and optimize resource allocation.","url":"https://doi.org/10.3390/s24030958","authors":["Roberta Avanzato","Francesco Beritelli","Alfio Lombardo","Carmelo Ricci"],"tags":["Computer science","Artificial intelligence","Machine learning","Data mining","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-01","doi":"https://doi.org/10.3390/s24030958","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2998186918","name":"Single-cell Digital Twins for Cancer Preclinical Investigation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-1-0716-0159-4_15","authors":["Marzia Di Filippo","C. Damiani","Marco Vanoni","Davide Maspero","Giancarlo Mauri","Lilia Alberghina","Dario Pescini"],"tags":["Computational biology","Population","Computer science","Systems biology","Computational model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-31","doi":"https://doi.org/10.1007/978-1-0716-0159-4_15","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4360584415","name":"SIGNED: Smart cIty diGital twiN vErifiable Data Framework","source":"openalex","abstract":"Smart city digital twins can provide useful insights by making effective use of multi disciplinary urban data from diverse sources. Whilst these insights provide new information that helps cities in decision making, verifying the authenticity, integrity, traceability and data ownership across various functional units have become critical characteristics to ensure the data is from an authentic and trustworthy source. However, these characteristics are rarely considered in a digital twin ecosystem. In this research we introduce a novel framework, namely, ‘SIGNED: Smart cIty diGital twiN vErifiable Data framework’ that is designed on the basis of data ownership, selective disclosure and verifiability principles. Using Verifiable Credentials, SIGNED ensures digital twin data are verifiably authentic i.e., it covers provenance, transparency, and reliability through verifiable presentation. A proof of concept is designed and evaluated based on a smart water management use case to demonstrate the effectiveness of SIGNED in securing verifiable exchange of digital twin data across multiple functional units. The proof-of-concept demonstrates that SIGNED successfully allows the exchange of data in a trusted and verifiable manner at negilgible performance cost, thus enhancing security and alleviating privacy issues when sharing data between various functional units in a smart city.","url":"https://doi.org/10.1109/access.2023.3260621","authors":["Zeeshan Pervez","Zaheer Khan","Abdul Ghafoor","Kamran Soomro"],"tags":["Verifiable secret sharing","Computer science","Transparency (behavior)","Traceability","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3260621","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4312719594","name":"A Monitoring Digital Twin for Services of Controlled Environment Agriculture","source":"openalex","abstract":"Due to the higher level of automation than traditional agricultural systems, Controlled Environment Agriculture (CEA) applications generally achieve better yields and quality crops at the expenses of higher energy consumption. Digital Twin (DT) is considered a technology with the potential to bring CEA to new levels of productivity and sustainability. In this context, a monitoring Digital Twin (mDT) has been developed to provide services for the monitoring of the different subsystems of CEA facilities. By integrating open-source software tools, an architecture was built able to: i) gather different types of data collected from a CEA facility; ii) store the collected data and calculate relevant features from them; iii) locally and remotely display the assessed data. The implemented mDT has the potential to generate a database of CEA data that in future may be utilized by predictive and prescriptive algorithms to suggest actions able to improve the productivity and sustainability of the process.","url":"https://doi.org/10.1016/j.ifacol.2022.09.188","authors":["Juan Pablo González","David Sanchez-Londoño","Giacomo Barbieri"],"tags":["Computer science","Sustainability","Context (archaeology)","Productivity","Agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.09.188","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3108590301","name":"Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and Case Study","source":"openalex","abstract":"In Industry 4.0, the increasing complexity of industrial systems introduces unknown dynamics that affect the performance of manufacturing processes. Thus, Digital Twin appears as a breaking technology to develop virtual representations of any complex system design, analysis, and behavior prediction tasks to enhance the system understanding via enabling capabilities like real-time analytics, or Smart Control Engineering. In this paper, a novel framework is proposed for the design and implementation of Digital Twin applications to the development of Smart Control Engineering. The framework involve the steps of system documentation, Multidomain Simulation, Behavioral Matching, and real-time monitoring, which is applied to develop the Digital Twin for a real-time vision feedback temperature uniformity control. The obtained results show that Digital Twin is a fundamental part of the transformation into Industry 4.0.","url":"https://doi.org/10.1109/iai50351.2020.9262203","authors":["Jairo Viola","YangQuan Chen"],"tags":["Computer science","Smart manufacturing","Control (management)","Digital transformation","Matching (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-23","doi":"https://doi.org/10.1109/iai50351.2020.9262203","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4323304501","name":"Digital twin-driven manufacturing equipment development","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102557","authors":["Yongli Wei","Tianliang Hu","Lili Dong","Songhua Ma"],"tags":["Manufacturing engineering","Development (topology)","Computer science","Engineering","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-06","doi":"https://doi.org/10.1016/j.rcim.2023.102557","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4387996081","name":"Design, development, and optimization of a conceptual framework of digital twin electric grid using systems engineering approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.epsr.2023.109958","authors":["Md. Mhamud Hussen Sifat","Sajal K. Das","Safwat Mukarrama Choudhury"],"tags":["Dependability","Smart grid","Computer science","Cloud computing","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-28","doi":"https://doi.org/10.1016/j.epsr.2023.109958","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3152434984","name":"Cost-effective and efficient 3D human model creation and re-identification application for human digital twins","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11042-021-10842-y","authors":["Sudhakar Sengan","Kailash Kumar","V. Subramaniyaswamy","Logesh Ravi"],"tags":["Computer science","Identification (biology)","Human–computer interaction","Artificial intelligence","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-29","doi":"https://doi.org/10.1007/s11042-021-10842-y","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3000158835","name":"A Digital Twin-Based Approach for Quality Control and Optimization of Complex Product Assembly","source":"openalex","abstract":"To address the problems caused by low ability of quality analysis and decision-making in the process of complex product assembly, in this paper, we proposed a digital twin-based approach for quality control and optimization of complex product assembly, by providing a digital twin system to realize the timely and precisely interactive mapping between the physical world and digital world. Specifically, a quality control and optimization mechanism is presented, which provides the theoretical support to the realization of the digital twin-based approach. A data-driven quality control model is introduced to solve the optimization problem by considering the panoramic assembly quality data. A digital twin system for complex product assembly is elaborated by providing detailed deployment and implementation procedures, which includes (1) building of the digital entity of an assembly line, (2) real-time online sensing in multi-source heterogeneous environment, (3) real-time simulation of equipment and assembly process, (4) realization of the intelligent production scheduling under uncertainty conditions, and (5) dynamical adjustment of the assembly process. Finally, the paper presents the validation results considering the practical applications of the proposed approach in real industrial fields.","url":"https://doi.org/10.1109/aiam48774.2019.00157","authors":["Yuanye Ma","Hang Zhou","Honghong He","Guotao Jiao","Sha Wei"],"tags":["Computer science","Realization (probability)","Quality (philosophy)","Process (computing)","Scheduling (production processes)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/aiam48774.2019.00157","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4399071488","name":"Digital twin-assisted AI framework based on domain adaptation for bearing defect diagnosis in the centrifugal pump","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.measurement.2024.115013","authors":["Anil Kumar","Rajesh Kumar","Jiawei Xiang","Zijian Qiao","Youqing Zhou","Haidong Shao"],"tags":["Centrifugal pump","Bearing (navigation)","Domain (mathematical analysis)","Computer science","Domain adaptation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-28","doi":"https://doi.org/10.1016/j.measurement.2024.115013","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3216714190","name":"Predictive Maintenance for Switch Machine Based on Digital Twins","source":"openalex","abstract":"As a unique device of railway networks, the normal operation of switch machines involves railway safe and efficient operation. Predictive maintenance becomes the focus of the switch machine. Aiming at the low accuracy of the prediction state and the difficulty in state visualization, the paper proposes a predictive maintenance model for switch machines based on Digital Twins (DT). It constructs a DT model for the switch machine, which contains a behavior model and a rule model. The behavior model is a high-fidelity visual model. The rule model is a high-precision prediction model, which is combined with long short-term memory (LSTM) and autoregressive Integrated Moving Average model (ARIMA). Experiment results show that the model can be more intuitive with higher prediction accuracy and better applicability. The proposed DT approach is potentially practical, providing a promising idea for switching machines in predictive maintenance.","url":"https://doi.org/10.3390/info12110485","authors":["Jia Yang","Yongkui Sun","Yuan Cao","Xiaoxi Hu"],"tags":["Computer science","Predictive maintenance","Autoregressive integrated moving average","Autoregressive model","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-22","doi":"https://doi.org/10.3390/info12110485","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4383000537","name":"Development of a Robot-Assisted Telerehabilitation System With Integrated IIoT and Digital Twin","source":"openalex","abstract":"Upper limb dysfunction (ULD) is common following a stroke, spinal cord injury, trauma, and occupational accidents. Post-stroke patients with ULD need long-term assistance from therapists for their rehabilitation, which generally occurs at the hospital or outpatient clinic. Physical therapists are unavailable because of geographical, financial, and scheduling concerns, and continuity of care needs to be improved due to the need to travel to multiple locations for therapy. As a result, providing specific, tailored therapy programs is challenging due to the absence of feedback and real-time monitoring. An effective telerehabilitation system can address this issue and is more cost-effective for healthcare providers and patients than traditional inpatient or person-to-person rehabilitation. Remotely operating robotic devices and using advanced technology improves patient and healthcare provider safety and reduces injuries. In this study, we developed a novel telerehabilitation framework for rehabilitation robots utilizing PTC’s Industrial Internet of Things (IIoT) platform to remotely provide robot-aided therapies for individuals with ULD. With the developed telerehabilitation framework, an operator can teleoperate the rehab robots to deliver Upper-limb (UL) exercises via an Augmented Reality (AR) based graphical user interface (GUI). This AR platform communicates bidirectionally using ThingWorx IIOT. It leverages the digital twin (DT) structure facilitated by Vuforia studio to visualize the physical robot motions happening in remote places. The telerehabilitation framework was validated through a commercially available robot (xArm 5), an exoskeleton (SREx), and an end-effector type rehabilitation robot (DMRbot) developed at Biorobotics Lab, UWM. The experiment results show that the telerehabilitation system can successfully provide UL rehab exercises in 2D and 3D planes via AR. The proposed framework is developed to facilitate robust and more promising robot-aided rehabilitation sessions remotely, and it can also be applied in other medical applications.","url":"https://doi.org/10.1109/access.2023.3291803","authors":["Md Mahafuzur Rahaman Khan","Md Samiul Haque Sunny","Tanvir Ahmed","Md Tanzil Shahria","Preet Parag Modi","Md Ishrak Islam Zarif","Javier Sanjuan","Sheikh Iqbal Ahamed","Helal Uddin Ahmed","Erin M. Mcgonigle Ketchum","Mohammad Habibur Rahman"],"tags":["Telerehabilitation","Computer science","Robot","Human–computer interaction","Telemedicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3291803","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4308871001","name":"Synchronization-Enhanced Deep Learning Early Flood Risk Predictions: The Core of Data-Driven City Digital Twins for Climate Resilience Planning","source":"openalex","abstract":"Floods have been among the costliest hydrometeorological hazards across the globe for decades, and are expected to become even more frequent and cause larger devastating impacts in cities due to climate change. Digital twin technologies can provide decisionmakers with effective tools to rapidly evaluate city resilience under projected floods. However, the development of city digital twins for flood predictions is challenging due to the time-consuming, uncertain processes of developing, calibrating, and coupling physics-based hydrologic and hydraulic models. In this study, a flood prediction methodology (FPM) that integrates synchronization analysis and deep-learning is developed to directly simulate the complex relationships between rainfall and flood characteristics, bypassing the computationally expensive hydrologic-hydraulic models, with the City of Calgary being used for demonstration. The developed FPM presents the core of data-driven digital twins that, with real-time sensor data, can rapidly provide early warnings before flood realization, as well as information about vulnerable areas—enabling city resilience planning considering different climate change scenarios.","url":"https://doi.org/10.3390/w14223619","authors":["Maysara Ghaith","Ahmed Yosri","Wael El‐Dakhakhni"],"tags":["Flood myth","Hydrometeorology","Resilience (materials science)","Climate change","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-10","doi":"https://doi.org/10.3390/w14223619","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4295136072","name":"Physics-based digital twins for autonomous thermal food processing: Efficient, non-intrusive reduced-order modeling","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ifset.2022.103143","authors":["Maximilian Kannapinn","Minh Khang Pham","Michael Schäfer"],"tags":["Solver","Mean squared error","Computer science","Software","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-11","doi":"https://doi.org/10.1016/j.ifset.2022.103143","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3178362888","name":"A digital twin strategy for major failure detection in fused deposition modeling processes","source":"openalex","abstract":"Part distortion during additive manufacturing (AM) may lead to catastrophic failure and significant waste of resources. Existing work often focuses on identification and detection of individual root causes such as melt pool geometries or extruder clogging to prevent part failures. Since the end-effect of major print failures can be the result of multiple error sources (including unknowns), relying on detection of individual root causes may misclassify some failed prints as successful. Instead, detecting end-effects or part distortion could provide early warning of major failures regardless of potential error sources. Distortion detection, however, currently involves computationally expensive simulation and analysis of sensing data. One promising solution is to adopt digital twin strategy to quickly compare model prediction to features extracted from in situ sensing data. This study extends the digital twin strategy to major distortion detection by developing (1) a multi-view optical sensing system for movable print beds and (2) failure detection methods by analyzing multi-view of part images layer by layer. Since the digital twin of actual prints at specific layers are generated offline, delay can be reduced to determine if a significant enough quality departure has occurred to justify termination of the print. In the experimental evaluation of this approach for a FDM machine with a moving print bed, failure was rapidly detected in two of the three test prints, while in the remaining print, failure was successfully detected after a short delay.","url":"https://doi.org/10.1016/j.promfg.2021.06.039","authors":["Christopher M. Henson","Nathan Decker","Qiang Huang"],"tags":["Distortion (music)","Computer science","Identification (biology)","Root cause","Warning system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.promfg.2021.06.039","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4386275618","name":"Radar Imaging Based UAV Digital Twin for Wireless Channel Modeling in Mobile Networks","source":"openalex","abstract":"This paper looks into the realization of digital twin (DT) technology in unmanned aerial vehicle (UAV) networks. We propose, in particular, a framework for DT-based UAV applications in which distinct jobs in the digital twin interact with UAVs in the physical world via task manager scheduling. Furthermore, we investigate the use of 3D mmWave Radar imaging on UAVs and apply it to the process of radio frequency (RF) characterizing. After that, the method of 3D ray-tracing is employed to accomplish channel modelling of UAVs, which reflects RF domain digital twin match. Finally, we present numerical results to demonstrate that our developed digital twin platform can provide accurate RF presentation of UAV and therefore accomplish smart operating and administration of the actual UAV network.","url":"https://doi.org/10.1109/jsac.2023.3310085","authors":["Weiliang Xie","Fei Qi","Lei Liu","Qiang Liu"],"tags":["Computer science","Wireless","Radar","Channel (broadcasting)","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-30","doi":"https://doi.org/10.1109/jsac.2023.3310085","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3095946865","name":"GIS-Enabled Digital Twin System for Sustainable Evaluation of Carbon Emissions: A Case Study of Jeonju City, South Korea","source":"openalex","abstract":"Despite the growing interest in digital twins (DTs) in geospatial technology, the scientific literature is still at the early stage, and concepts of DTs vary. In common perspectives, the primary goals of DTs are to reduce the uncertainty of the physical systems in real-world projects to reduce cost. Thus, this study is aimed at developing a structural schematic of a geographic information system (GIS)-enabled DT system and exploring geospatial technologies that can aid in deploying a DT system for a real-world project—in particular, for the sustainable evaluation of carbon emissions. The schematic includes three major phases: (1) data collection and visualization, (2) analytics, and (3) deployment. Three steps are designed to propose an optimal strategy to reduce carbon emissions in an urban area. In the analytics phase, mapping, machine learning algorithms, and spatial statistics are applied, mapping an ideal counterpart to physical assets. Furthermore, not only are GIS maps able to analyze geographic data that represent the counterparts of physical assets but can also display and analyze spatial relationships between physical assets. In the first step of the analytics phase, a GIS map spatially represented the most vulnerable area based on the values of carbon emissions computed according to the Intergovernmental Panel on Climate Change (IPCC) guidelines. Next, the radial basis function (RBF) kernel algorithm, a machine learning technique, was used to forecast spatial trends of carbon emissions. A backpropagation neural network (BPNN) was used to quantitatively determine which factor was the most influential among the four data sources: electricity, city gas, household waste, and vehicle. Then, a hot spot analysis was used to assess where high values of carbon emissions clustered in the study area. This study on the development of DTs contributes the following. First, with DTs, sustainable urban management systems will be improved and new insights developed more publicly. Ultimately, such improvements can reduce the failures of projects associated with urban planning and management. Second, the structural schematic proposed here is a data-driven approach; consequently, its outputs are more reliable and feasible. Ultimately, innovative approaches become available and services are transformed. Consequently, urban planners or policy makers can apply the system to scenario-based approaches.","url":"https://doi.org/10.3390/su12219186","authors":["Jiman Park","Byungyun Yang"],"tags":["Geospatial analysis","Geographic information system","Computer science","Digital mapping","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-04","doi":"https://doi.org/10.3390/su12219186","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4324290821","name":"Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking","source":"openalex","abstract":"Digital Twins (DTs) have been gaining popularity in various applications, such as smart manufacturing, smart energy, smart mobility, and smart healthcare. In simple terms, DT is described as a virtual replica of a given physical product, system, or process. It consists of three major segments: the physical entity, its virtual counterpart, and the connections between them. While the data is collected from a physical entity, processed at the virtual layer, and accessed in the form of a DT at the application layer, it is exposed to several security risks. To ensure the applicability of a DT system, it is imperative to understand these security risks and their implications. However, there is a lack of a framework that can be used to assess the security of a DT. This paper presents a framework in which the security of a DT can be analyzed with the help of a formal verification technique. The framework captures the defense of the system at different layers and considers various attacks at each layer. The security of the DT system is represented as a state-transition system and the security properties are captured in temporal logic. Probabilistic model checking (PMC) is used to verify the systems against these properties. In particular, the framework is used to analyze the probability of success and the cost of various potential attacks that can occur at each layer in a DT system. The applicability of the proposed framework is demonstrated with the help of a detailed case study in the healthcare domain.","url":"https://doi.org/10.1109/access.2023.3257171","authors":["Eman Shaikh","A. R. Al-Ali","Shahabuddin Muhammad","Nazeeruddin Mohammad","Fadi Aloul"],"tags":["Computer science","Probabilistic logic","Process (computing)","Layer (electronics)","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3257171","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4313569656","name":"Security and Privacy Issues in IoT-Based Big Data Cloud Systems in a Digital Twin Scenario","source":"openalex","abstract":"Due to its unique type of services, Cloud Computing could operate as a “base technology” for other technologies; this attracts researchers to develop sustainable Cloud systems. It is a new generation of services that offers an opportunity for users to access and manage their information, applications, and data regardless of place and time. Nevertheless, there is a type of service that can include large amounts of data, called Big Data, and it consists of the rapid use of the Internet of Things (IoT) to produce large data sets. In this work, initially, we present Cloud Computing (CC) and Big Data (BD) exported from IoT, focusing on the security and management challenges of both. Notably, we combine the two aforementioned technologies to examine their related characteristics and discover new perspectives and opportunities for their integration and to achieve a sustainable environment called a Digital Twin scenario. Subsequently, we present how Cloud Computing contributes to IoT-based Big Data, aiming to fill a scientific gap in the sector of their integration regarding security and privacy. Finally, we additionally survey the security challenges of the integrated model of BD and CC and then propose a novel security algorithm for sustainable Cloud systems in a Digital Twin scenario. The experimental results presented are based on the use of the encryption algorithms AES, RC5, and RSA, and our proposed model extends the advances of CC and IoT-based BD, offering a highly novel and scalable service platform to achieve better privacy and security services.","url":"https://doi.org/10.3390/app13020758","authors":["Christos Stergiou","Elisavet Bompoli","Kostas E. Psannis"],"tags":["Cloud computing","Computer science","Big data","Cloud computing security","Encryption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-05","doi":"https://doi.org/10.3390/app13020758","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3132147660","name":"On modelling and handling of flexible materials: A review on Digital Twins and planning systems","source":"openalex","abstract":"In this paper a series of studies dealing with flexible material manipulation in aspects of manipulation, modelling and scheduling are discussed. The main purpose of this work is to provide an overview of the existing technologies and their capabilities both in manufacturing and academia, that can be elaborated in autonomous flexible material handling using robotics. The particularities of flexible material handling require advanced control systems for simulating, monitoring and managing the deformation of plies. A simulation model for predicting and defining the status of manipulated fabrics is proposed. Digital representation of the production system, in the basis of Digital Twin, is intended for achieving real-time adaptation. A pioneer control and planning system, interconnected to the digital model, is proposed for orchestrating the manipulation process. Current limitations of the existing technologies in flexible material handling and modelling are outlined and discussed, towards the implementation of a Workcell controller for flexible material manipulation robotic cell.","url":"https://doi.org/10.1016/j.procir.2020.08.005","authors":["Dionisis Andronas","George Kokotinis","Sotiris Makris"],"tags":["Workcell","Process (computing)","Scheduling (production processes)","Adaptation (eye)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2020.08.005","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3180481110","name":"Digital Twin based What-if Simulation for Energy Management","source":"openalex","abstract":"The manufacturing sector is one of the largest energy consumers in the industrial world, being the energy consumption by the shop-floor equipment, e.g., robots, machines and AGVs (Autonomous Guided Vehicles), a major issue. The combination of energy-efficient technologies with intelligent and digital technologies can reduce energy consumption. The application of the digital twin concept in the energy efficiency field is a promising research topic, taking advantage of the Industry 4.0 technological developments. This paper presents a digital twin architecture for energy optimisation in manufacturing systems, particularly based on a what-if simulation model. The applicability of the proposed what-if simulation model within the digital twin is presented to promote the efficient energy management of AGVs in a battery pack assembly line case study.","url":"https://doi.org/10.1109/icps49255.2021.9468224","authors":["Flávia Pires","Bilal Ahmad","António Paulo Moreira","Paulo Leitão"],"tags":["Energy consumption","Field (mathematics)","Computer science","Robot","Energy management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-10","doi":"https://doi.org/10.1109/icps49255.2021.9468224","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4402742630","name":"Data Integration for Digital Twins in Industrial Automation: A Systematic Literature Review","source":"openalex","abstract":"The domain of industrial automation faces challenges, such as shortened product life cycles, shortage of skilled labor, and increased complexity. Addressing these issues necessitates innovative solutions, one of which is the Digital Twin, being a virtual counterpart of a physical asset. Central to the quality of a Digital Twin is the data it harnesses. While current Digital Twins primarly draw data from their corresponding physical assets, future interconnected production environments promise an influx of additional data from external devices. However, it remains uncertain how existing Digital Twins incorporate and leverage such data. In this systematic literature review, drawing from a pool of 1107 unique publications, we analyzed 141 works to shed light on data utilization in industrial Digital Twins. We categorized these publications based on Digital Twin types and classified them according to various criteria regarding different characteristics of data. Our findings reveal that the majority of Digital Twins predominantly rely on structured data sourced directly from their associated assets, often employing proprietary integration methods. Facing the trends towards agile and interconnected production ecosystems, as well as an increasing amount of unstructured data, we assert that current Digital Twins are not equipped to meet forthcoming demands in the industrial domain. Consequently, we propose necessary adaptations to fully unleash the potential of Digital Twins and outline future research fields, including automated data integration and evaluation.","url":"https://doi.org/10.1109/access.2024.3465632","authors":["Gary Hildebrandt","Daniel Dittler","Pascal Habiger","Rainer Drath","Michael Weyrich"],"tags":["Automation","Computer science","Data science","Software engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3465632","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4408776987","name":"AI-DRIVEN FAULT DETECTION AND PREDICTIVE MAINTENANCE IN ELECTRICAL POWER SYSTEMS: A SYSTEMATIC REVIEW OF DATA-DRIVEN APPROACHES, DIGITAL TWINS, AND SELF-HEALING GRIDS","source":"openalex","abstract":"The increasing complexity of electrical power systems necessitates advanced fault detection and predictive maintenance strategies to enhance operational efficiency and grid reliability. Traditional maintenance approaches, such as reactive and preventive maintenance, have proven insufficient in mitigating unplanned outages and optimizing asset utilization. Recent advancements in artificial intelligence (AI) have introduced data-driven solutions that significantly improve fault classification, failure prediction, and automated recovery processes. This study conducts a systematic review of 180 high-quality peer-reviewed articles, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent research methodology. The findings reveal that AI-driven predictive maintenance methods, including machine learning, deep learning, digital twin technology, IoT-enabled sensor networks, and self-healing grids, have outperformed traditional fault detection techniques in terms of accuracy, adaptability, and cost-effectiveness. AI-based fault detection models achieve an average accuracy of 85% to 95%, reducing false alarms by 50% and minimizing power restoration times by up to 60%. The integration of IoT sensors with real-time analytics has improved anomaly detection rates by 28%, while digital twin technology has enhanced predictive maintenance efficiency, reducing unplanned outages by 35%. Additionally, self-healing grid mechanisms, powered by reinforcement learning algorithms, have demonstrated the ability to autonomously isolate faults and reconfigure energy distribution, preventing nearly 45% of potential service disruptions. Despite these advancements, challenges such as the black-box nature of deep learning models, cybersecurity vulnerabilities, and interoperability with legacy systems continue to pose barriers to large-scale AI adoption. The study highlights the need for explainable AI frameworks, standardized data governance policies, and enhanced cybersecurity measures to ensure the sustainable deployment of AI in power grid management. The findings provide valuable insights for researchers, utility companies, and policymakers seeking to enhance the resilience and efficiency of modern electrical power systems through AI-driven fault detection and predictive maintenance strategies.","url":"https://doi.org/10.63125/4p25x993","authors":["Sohel Rana"],"tags":["Self-healing","Predictive maintenance","Fault detection and isolation","Fault (geology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-03","doi":"https://doi.org/10.63125/4p25x993","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4390975365","name":"Assessing the benefits of digital twins in neurosurgery: a systematic review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10143-023-02260-5","authors":["Sorayouth Chumnanvej","Siriluk Chumnanvej","Susmit Tripathi"],"tags":["Observational study","Medicine","Randomized controlled trial","Systematic review","Medical physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-18","doi":"https://doi.org/10.1007/s10143-023-02260-5","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3214443015","name":"How to characterize a Digital Twin: A Usage-Driven Classification","source":"openalex","abstract":"Last years, publications on the Digital Twin have been increasing sharply without any real coherence, representing very different realities. In order to clarify its scope, we propose not only a global definition, but also a complete, usage-driven classification methodology. This enables to integrate data and models as well as applications in a generic overview. Moreover, the usage-driven deployment of the Digital Twin allows to be user-centric, in order to foster acceptance. We give various examples of the interest of this classification to support the deployment of the Digital Twin in all industrial applications.","url":"https://doi.org/10.1016/j.ifacol.2021.08.106","authors":["Nathalie Julien","Eric W. Martin"],"tags":["Software deployment","Computer science","Scope (computer science)","Order (exchange)","Coherence (philosophical gambling strategy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.08.106","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3126247384","name":"Empowering Digital Twin for Industry 4.0 using metaheuristic optimization algorithms: case study PCB drilling optimization","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-021-06649-8","authors":["David Balderas","Alexandro Ortiz","Efrain Mendez-Flores","Pedro Ponce","Arturo Molina","Efraín Méndez"],"tags":["Metaheuristic","Process (computing)","Manufacturing engineering","Engineering","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-03","doi":"https://doi.org/10.1007/s00170-021-06649-8","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"oa:W2886688591","name":"Creating the foundation for digital twins in the manufacturing industry: an integrated installed base management system","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10257-018-0376-0","authors":["Daniel Olivotti","Sonja Dreyer","Benedikt Lebek","Michael H. Breitner"],"tags":["Engineering","Manufacturing engineering","Digital manufacturing","Manufacturing","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-08-10","doi":"https://doi.org/10.1007/s10257-018-0376-0","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4385217783","name":"Digital Twin Development for the Airspace of the Future","source":"openalex","abstract":"The UK aviation industry is committed to achieving net zero emissions by 2050 through sustainable measures and one of the key aspects of this effort is the implementation of Unmanned Traffic Management (UTM) systems. These UTM systems play a crucial role in enabling the safe and efficient integration of unmanned aerial vehicles (UAVs) into the airspace. As part of the Airspace of the Future (AoF) project, the development and implementation of UTM services have been prioritised. This paper aims to create an environment where routine drone services can operate safely and effectively. To facilitate this, a digital twin of the National Beyond Visual Line of Sight Experimentation Corridor has been created. This digital twin serves as a virtual replica of the corridor and allows for the synthetic testing of unmanned traffic management concepts. The implementation of the digital twin involves both simulated and hybrid flights with real drones. Simulated flights allow for the testing and refinement of UTM services in a controlled environment. Hybrid flights, on the other hand, involve the integration of real drones into the airspace to assess their performance and compatibility with the UTM systems. By leveraging the capabilities of UTM systems and utilising the digital twin for testing, the AoF project aims to advance the development of safer and more efficient drone operations. The Experimentation Corridor has been developed to simulate and test concepts related to managing unmanned traffic. The paper provides a detailed account of the implementation of the digital twin for the AoF project, including simulated and hybrid flights involving real drones.","url":"https://doi.org/10.3390/drones7070484","authors":["Toufik Souanef","Saba Al–Rubaye","Antonios Tsourdos","Samuel Ayo","Dimitrios Panagiotakopoulos"],"tags":["Drone","SAFER","Systems engineering","Computer science","Air traffic control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-23","doi":"https://doi.org/10.3390/drones7070484","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3048361300","name":"Digital Twins for Education and Study of Engineering Sciences","source":"openalex","abstract":"Generally a digital twin is a software-model as a prototype for some product, ordered by a customer. It shell be used on all stages of industrial production of this ordered product, compering the actual state with the model und correcting the differences. A “virtual world” will be created from the “real word” and both “worlds” communicate with each other during production. At the educational institutions of engineering like universities, trainings centres or schools the digital twins are software-models of industrial plants, which are simulated and visualized similar to its industrial originals and synchronized with them. The presented paper shows steps of design of digital twins upon some examples of the master degree program at the University of Applied Sciences Darmstadt. It will be described why and how it is possible to use the digital twins. The ways from an original device to its model will be drawn. The different stages of the development of software-models, which are equipped with different levels of source code, will be shown. The actual trends to include the hardware into a software-model, so called hardware-in-the-loop and rapid control prototyping, will be described. Finally the advantages and disadvantages of digital twins for engineering study including the economic considerations will be discussed.","url":"https://doi.org/10.46328/ijonest.40","authors":["Serge Zacher"],"tags":["Software","Product (mathematics)","Computer science","Software engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-23","doi":"https://doi.org/10.46328/ijonest.40","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3007816482","name":"Efficient Spot Welding Sequence Optimization in a Geometry Assurance Digital Twin","source":"openalex","abstract":"Abstract A digital twin for geometry assurance contains a set of analyses that are performed to steer the real production for securing the geometry of the final assembly. In sheet metal assemblies, spot welding is performed to join the parts together. The sequence of the welding has a considerable influence on the geometrical outcome of the final assembly. In industry, the sequence of welding to secure the geometry is mainly derived by tacit manufacturing knowledge. Including such knowledge to mimic the production process requires extensive knowledge management, and the result might be just a good enough solution. Theoretically, spot welding sequence optimization for the optimal geometrical quality is among NP-hard combinatorial problems. In a geometry assurance digital twin, where assembly parameters are selected for the individual assemblies, time constraints define the quality of the optimal sequence. In this paper, an efficient method for spot welding sequence optimization with regards to the geometrical quality is introduced. The results indicate that the proposed method reduces 60–80% of the time for the sequencing of the spot welding process to achieve the optimal geometrical quality.","url":"https://doi.org/10.1115/1.4046436","authors":["Roham Sadeghi Tabar","Kristina Wärmefjord","Rikard Söderberg","Lars Lindkvist"],"tags":["Welding","Spot welding","Sequence (biology)","Process (computing)","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-22","doi":"https://doi.org/10.1115/1.4046436","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4383989017","name":"Knowledge graph and function block based Digital Twin modeling for robotic machining of large-scale components","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102609","authors":["Xuexin Zhang","Lianyu Zheng","Wei Fan","Wei Ji","Lingjun Mao","Lihui Wang"],"tags":["Machining","Process (computing)","Block (permutation group theory)","Computer science","Robot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-12","doi":"https://doi.org/10.1016/j.rcim.2023.102609","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W2800399809","name":"Towards digital twins through object-oriented modelling: a machine tool case study","source":"openalex","abstract":"As a basic component for the setup of a digital twin of the working process, the dynamic model of a machine tool, the Mandelli M5, is developed in this paper. The main features of the model are the FEM based description of the structural flexibility of the components of the kinematic structure, the model of the cutting process and the model of the transmission chains and of the control systems. The model has been experimentally validated with respect to the motion dynamic behavior.","url":"https://doi.org/10.1016/j.ifacol.2018.03.104","authors":["Bruno Scaglioni","Gianni Ferretti"],"tags":["Flexibility (engineering)","Component (thermodynamics)","Kinematics","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1016/j.ifacol.2018.03.104","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4294541635","name":"A digital twin implementation architecture for wire + arc additive manufacturing based on ISO 23247","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2022.08.008","authors":["Duck Bong Kim","Guodong Shao","Guejong Jo"],"tags":["Arc (geometry)","Architecture","Engineering drawing","Manufacturing engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-02","doi":"https://doi.org/10.1016/j.mfglet.2022.08.008","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4392896328","name":"A digital twin approach for gas turbine performance based on deep multi-model fusion","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.applthermaleng.2024.122954","authors":["Jingkai Zhang","Zhitao Wang","Shuying Li","Pengfei Wei"],"tags":["Component (thermodynamics)","Computer science","Matching (statistics)","Big data","Data modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-17","doi":"https://doi.org/10.1016/j.applthermaleng.2024.122954","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3082645651","name":"Towards online adaptation of digital twins","source":"openalex","abstract":"Abstract Digital twins have gained a lot of attention in modern day industry, but practical challenges arise from the requirement of continuous and real-time data integration. The actual physical systems are also exposed to disturbances unknown to the real-time simulation. Therefore, adaptation is required to ensure reliable performance and to improve the usability of digital twins in monitoring and diagnostics. This study proposes a general approach to the real-time adaptation of digital twins based on a mechanism guided by evolutionary optimization. The mechanism evaluates the deviation between the measured state of the real system and the estimated state provided by the model under adaptation. The deviation is minimized by adapting the model input based on the differential evolution algorithm. To test the mechanism, the measured data were generated via simulations based on a physical model of the real system. The estimated data were generated by a surrogate model, namely a simplified version of the physical model. A case study is presented where the adaptation mechanism is applied on the digital twin of a marine thruster. Satisfactory accuracy was achieved in the optimization during continuous adaptation. However, further research is required on the algorithms and hardware to reach the real-time computation requirement.","url":"https://doi.org/10.1515/eng-2020-0088","authors":["Riku-Pekka Nikula","Marko Paavola","Mika Ruusunen","Joni Keski-Rahkonen"],"tags":["Adaptation (eye)","Computer science","Usability","Computation","Mechanism (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1515/eng-2020-0088","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4390615208","name":"Digital Twin of Microgrid for Predictive Power Control to Buildings","source":"openalex","abstract":"The increased focus on sustainability in response to climate change has given rise to many new initiatives to meet the rise in building load demand. The concept of distributed energy resources (DER) and optimal control of supply to meet power demands in buildings have resulted in growing interest to adopt microgrids for a precinct or a university campus. In this paper, a model for an actual physical microgrid has been constructed in OPAL-RT for real-time simulation studies. The load demands for SIT@NYP campus and its weather data are collected to serve as input to run on the digital twin model of DERs of the microgrid. The dynamic response of the microgrid model in response to fluctuations in power generation due to intermittent solar PV generation and load demands are examined via real-time simulation studies and compared with the response of the physical assets. It is observed that the simulation results match closely to the performance of the actual physical asset. As such, the developed microgrid model offers plug-and-play capability, which will allow power providers to better plan for on-site deployment of renewable energy sources and energy storage to match the expected building energy demand.","url":"https://doi.org/10.3390/su16020482","authors":["Hao Jiang","Rudy Tjandra","Chew Beng Soh","Shuyu Cao","Donny Soh","Kuan Tak Tan","King Jet Tseng","Sivaneasan Bala Krishnan"],"tags":["Microgrid","Demand response","Renewable energy","Distributed generation","Energy storage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-05","doi":"https://doi.org/10.3390/su16020482","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4295854774","name":"Design of a Digital Twin Training Centre for an Industrial Robot Arm","source":"openalex","abstract":"The Cyber-Physical and Intelligent Robotics Laboratory has been digitally recreated, and it includes all the key elements that allow 6-axis industrial robots to perform PTP, LIN, and CIRC motions. Furthermore, the user can create a program with these motion types. The human–machine interface is also integrated into our system. It can also assist SMEs in developing their in-house training. After all, training on an industrial robot unit does not entail installation costs within the facility. Nor are there any maintenance and servicing costs. Since the lab is digital, additional robot units can be added or removed. Thus, areas for training or production can be pre-configured within each facility. Because of the customizability and virtual education format, there is no room capacity problem, and trainees can participate in the exercises in parallel. Exercises were also conducted to evaluate the program’s impact on teaching, and the results showed that using machine units can improve teaching. Even today’s digital labs cannot physically convey the sense of space or the relative weights of different elements in virtual space. Even with these features, individuals can operate a machine more effectively than relying solely on traditional, non-interactive demonstration materials.","url":"https://doi.org/10.3390/app12178862","authors":["Timotei István Erdei","Rudolf Krakó","Géza Husi"],"tags":["Robot","Computer science","Robotic arm","Human–computer interaction","Space (punctuation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-03","doi":"https://doi.org/10.3390/app12178862","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4391093011","name":"Digital Twin-Assisted Edge Service Caching for Consumer Electronics Manufacturing","source":"openalex","abstract":"In recent years, the consumer electronics manufacturing (CEM) has increasingly recognized the role of the Internet of Things (IoT) in improving production efficiency and reducing costs. Manufacturing factories have chosen to deploy servers at the edge of network to cache services, reducing energy consumption during data transmission. However, due to the dynamic nature of edge networks and the unpredictability of service requests, obtaining the optimal caching strategy for IoT devices remains a significant challenge. In this paper, we employ digital twin (DT) to formulate dynamic digital models of IoT devices and edge servers for enhancing the caching management efficiency in manufacturing factories. Additionally, we propose a service caching scheme based on deep reinforcement learning (DRL) enabled by DT, named SCRD, to obtain the optimal caching strategy for IoT devices. Firstly, the service caching problem is formulated as a Markov decision process (MDP), which is then solved using a multi-agent algorithm based on the Double Dueling Deep Q-Network (D3QN). Finally, experimental results demonstrate the proposed scheme is more effective than the baseline schemes.","url":"https://doi.org/10.1109/tce.2024.3357136","authors":["Wei Liu","Xiaolong Xu","Lianyong Qi","Xiaokang Zhou","Hanzhi Yan","Xiaoyu Xia","Wanchun Dou"],"tags":["Computer science","Server","Cache","Markov decision process","Enhanced Data Rates for GSM Evolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-22","doi":"https://doi.org/10.1109/tce.2024.3357136","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4403030791","name":"Self-adaptive digital twin of fuel cell for remaining useful lifetime prediction","source":"openalex","abstract":"Accurate prediction of the remaining useful life (RUL) of proton exchange membrane fuel cells (PEMFCs) is essential for maximizing their operational lifespan. However, existing methods often face limitations in two key areas: long-term prediction (beyond 168 h, or one week) and adaptability to varying operating conditions. To address these challenges, we propose a novel self-adaptive digital twin (SADT) model for RUL prediction of PEMFCs. Our approach uniquely integrates a deep convolutional neural network to generate robust health indicators (HIs) that maintain consistent monotonicity across diverse operating conditions. Additionally, we introduce a novel quantile Huber loss (QH-loss) function to enhance prediction accuracy and incorporate a transfer learning technique to improve adaptability under varying operational scenarios. Experimental results on PEMFC degradation datasets demonstrate that our method outperforms state-of-the-art techniques in long-term prediction accuracy, highlighting its potential to significantly extend fuel cell lifetimes. • A novel self-adaptive digital twin for predicting RUL of the PEMFC. • Transfer Learning enhanced RUL prediction accuracy and adaptability. • Universal monotonic HI applicable to various PEMFC operating conditions.","url":"https://doi.org/10.1016/j.ijhydene.2024.09.266","authors":["Ming Zhang","Amirpiran Amiri","Yuchun Xu","Lucy Bastin","Tony Clark"],"tags":["Fuel cells","Computer science","Nuclear engineering","Chemical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-01","doi":"https://doi.org/10.1016/j.ijhydene.2024.09.266","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4298055453","name":"Structural performance prediction based on the digital twin model: A battery bracket example","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ress.2022.108874","authors":["Wenbin He","Jianxu Mao","Kai Song","Zhe Li","Yulong Su","Yaonan Wang","Xiangcheng Pan"],"tags":["Reliability (semiconductor)","Battery (electricity)","Bracket","Automotive engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-30","doi":"https://doi.org/10.1016/j.ress.2022.108874","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4310235123","name":"Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis","source":"openalex","abstract":"The Digital Twin (DT) paradigm offers an extension of simulation model utility into the operational phase of an engineering asset. The goal is a simulation “twinned” with observed data that reflects the actual performance of the asset. However, exploring sources of uncertainty for both the physical asset and the simulation model are a challenge. For example, random metocean conditions, and uncertainty on model parameters and response behaviour of offshore wind turbine (OWT) structures, contribute to uncertainty for predicted life under fatigue. In-service assessment of OWT structures will benefit from twinning simulations and observed data, where a framework to treat this uncertainty is defined. The DT needs to capture state, condition, and behaviour to a level that allows quantification and propagation of uncertainty for reliability analysis. Using a DT, built for fatigue assessment of bolted ring-flanges on OWT support structures, this paper explores the challenges and opportunities in defining uncertainties of interest. We propagate these uncertainties through the DT in a coherent manner using a Gaussian Process (GP) surrogate modelling approach, efficiently emulating a computationally expensive numerical simulator. The GP is an attractive surrogate model method given this computational efficiency, in addition to providing an estimate of prediction uncertainty at unobserved points in the output space. The use of the GP surrogate model is included within a definition of the Surrogate DT, a framework including “fast” and “slow” twinning processes. We define six requirements to apply DTs to OWT structures which provide practical guidelines for modelling this complex asset under uncertainty.","url":"https://doi.org/10.1016/j.compind.2022.103806","authors":["Jack Jorgensen","Melinda Hodkiewicz","Edward Cripps","Ghulam Mubashar Hassan"],"tags":["Surrogate model","Offshore wind power","Computer science","Uncertainty quantification","Turbine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-27","doi":"https://doi.org/10.1016/j.compind.2022.103806","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4231544074","name":"The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases","source":"openalex","abstract":"","url":"https://doi.org/10.1016/s0065-2458(20)x0003-9","authors":[],"tags":["Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/s0065-2458(20)x0003-9","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4405781903","name":"Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review","source":"pubmed","abstract":"Civil infrastructure assets' contribution to countries' economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnels, dams, residential complexes, and commercial buildings, experience significant deterioration from the surrounding harsh environment. Traditional methods of visual inspection and non-destructive tests are generally undertaken to monitor and evaluate the structural health of the infrastructure. However, these methods lack reliability due to the need for instrumentation calibration and reliance on subjective visual judgments. Digital twin (DT) technology digitally replicates existing infrastructure, offering significant potential for real-time intelligent monitoring and assessment of structural health. This study reviews the existing applications of DTs across various sectors. It proposes an approach for developing DT applications in civil infrastructure, including using the Internet of Things, data acquisition, and modelling, together with the platform requirements and challenges that may be confronted during DT development. This comprehensive review is a state-of-the-art review of advancements and challenges in DT technology for intelligent monitoring and maintenance of civil infrastructure.","url":"https://doi.org/10.3390/s25010059","authors":["Zhiyan Sun","Sanduni Jayasinghe","Amir Sidiq","Farham Shahrivar","Mojtaba Mahmoodian","Sujeeva Setunge","Sun Z","Jayasinghe S","Sidiq A","Shahrivar F","Mahmoodian M","Setunge S"],"tags":["Civil infrastructure","Structural health monitoring","Engineering","Reliability (semiconductor)","Risk analysis (engineering)"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 25","doi":"https://doi.org/10.3390/s25010059","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"oa:W3162244344","name":"Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning","source":"openalex","abstract":"The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing. The emergence of information technologies such as Digital Twins (DT) in the field of the Internet of Things and Industry 4.0 allows a substantial development in automatic diagnostic systems. The objective of this work is to obtain the DT of a Photovoltaic Solar Farm (PVSF) with a deep-learning (DL) approach. To build such a DT, sensor-based time series are properly analyzed and processed. The resulting data are used to train a DL model (e.g., autoencoders) in order to detect anomalies of the physical system in its DT. Results show a reconstruction error around 0.1, a recall score of 0.92 and an Area Under Curve (AUC) of 0.97. Therefore, this paper demonstrates that the DT can reproduce the behavior as well as detect efficiently anomalies of the physical system.","url":"https://doi.org/10.3390/a14050156","authors":["Kamel Arafet","Rafael Berlanga"],"tags":["Renewable energy","Photovoltaic system","Series (stratigraphy)","Computer science","Deep learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-18","doi":"https://doi.org/10.3390/a14050156","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W3131066438","name":"Dynamic design method of digital twin process model driven by knowledge-evolution machining features","source":"openalex","abstract":"Machining plan is the core of guiding manufacturing production and is regarded as one of the keys to ensure the quality of product processing. Existing process design methods are inefficient to quickly handle the machining plan changed induced by the unpredictable events in real-time production. It inevitably causes time and economic losses for the enterprise. In order to express the evolutionary characteristics of product processing, the construction method of digital twin process model (DTPM) is proposed based on the knowledge-evolution machining features. Three key technologies include correlation structure of process knowledge, expression method of the evolution geometric features and the association mechanism between two are solved. On this basis, the construction framework of DTPM is illustrated. Then, the organisation and management mechanism of multi-source heterogeneous data is discussed in detail. At last, a case study of the complex machined part is researched, the results show that the processing time reduced by about 7% and the processing stability improved by 40%. Meanwhile, the implementation scheme, application process and effect of this case are described in detail to provide reference for enterprises.","url":"https://doi.org/10.1080/00207543.2021.1887531","authors":["Jinfeng Liu","Peng Zhao","Xuwen Jing","Xuwu Cao","Sushan Sheng","Honggen Zhou","Xiaojun Liu","Feng Feng"],"tags":["Machining","Process (computing)","Industrial engineering","Computer science","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-20","doi":"https://doi.org/10.1080/00207543.2021.1887531","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"oa:W4399008984","name":"Digital twin-driven dynamic scheduling for the assembly workshop of complex products with workers allocation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102786","authors":["Qinglin Gao","Jianhua Liu","Huiting Li","Cunbo Zhuang","Ziwen Liu"],"tags":["Scheduling (production processes)","Computer science","Distributed computing","Industrial engineering","Operations research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-25","doi":"https://doi.org/10.1016/j.rcim.2024.102786","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.62986/epm.2022.2023","name":"Green and Digital: Managing the Twin Transition toward Sustainable Development","source":"crossref","abstract":"This issue of the Economic Policy Monitor (EPM) examines the intersection of green transformation and digitalization, which are key drivers for sustainable, tech-centered growth. It evaluates how investments; labor; science, technology, and innovation (STI); and artificial intelligence contribute to this dual transformation. The EPM highlights relevant initiatives and technology-related risks, while offering recommendations to boost capabilities, bridge existing gaps, and remove barriers to maximize the potential of this twin transition. Furthermore, it gives policy updates on poverty reduction and social protection; gender; health; education; labor and employment; housing; agriculture; trade and industry; services; STI; land, air, and marine transport; energy; and the environment and natural resources. The EPM also provides a comprehensive review of the country’s macroeconomic performance in 2022 and 2023, while presenting economic projections for 2024.","url":"https://doi.org/10.62986/epm.2022.2023","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T08:09:13Z","doi":"10.62986/epm.2022.2023","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.26226/morressier.612f6739bc981037241009b5","name":"Coupled Dynamics and Stability Predictions of Digital Twin for Marine Vessel via Physics-based Data Driven Models","source":"crossref","abstract":"","url":"https://doi.org/10.26226/morressier.612f6739bc981037241009b5","authors":["Amir Chizfahm","Rajeev Jaiman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T23:27:40Z","doi":"10.26226/morressier.612f6739bc981037241009b5","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.5362565","name":"Building Operational Resilience in Mixed-Model Assembly Line: A Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5362565","authors":["Virginia Fani","Ilaria bucci","Monica Rossi","Romeo Bandinelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-23T00:54:43Z","doi":"10.2139/ssrn.5362565","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.5230556","name":"Application-oriented Digital Twin for Integrated Energy System: A Review","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.5230556","authors":["Kun Fu","Anurag Mohapatra","Ulf Häger","Reinaldo Tonkoski","Thomas Hamacher"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"10.2139/ssrn.5230556","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"doi:10.36227/techrxiv.173145101.12229004/v1","name":"Enhancing User-Centric Multimedia Services Using Digital Twin-Based Caching and Computing Optimization","source":"crossref","abstract":"The unprecedented demand for seamless multimedia services necessitates novel approaches to optimize caching and computing. This paper presents an innovative framework using digital twin (DT) technology to create a dynamic, virtual representation of multimedia service infrastructure, enabling real-time optimization for user-centric applications. By leveraging DT's predictive capabilities and integrating them with advanced caching and computing strategies, the proposed system improves resource allocation, reduces latency, and enhances Quality of Experience (QoE) for users. Our simulation results demonstrate significant performance improvements over traditional approaches, establishing the potential of DT-based systems in next-generation multimedia services.","url":"https://doi.org/10.36227/techrxiv.173145101.12229004/v1","authors":["Kevin Clinton","Todd Mostak","Chris Obiodu","Stephen Jimmy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-12T17:36:58Z","doi":"10.36227/techrxiv.173145101.12229004/v1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s00158-022-03476-7","name":"Correction: A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00158-022-03476-7","authors":["Adam Thelen","Xiaoge Zhang","Olga Fink","Yan Lu","Sayan Ghosh","Byeng D. Youn","Michael D. Todd","Sankaran Mahadevan","Chao Hu","Zhen Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-07T12:06:21Z","doi":"10.1007/s00158-022-03476-7","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.3390/s25154731","name":"Twin-AI: Intelligent Barrier Eddy Current Separator with Digital Twin and AI Integration","source":"crossref","abstract":"The current paper presents a comprehensive intelligent system designed to optimize the performance of a barrier eddy current separator (BECS), comprising a conveyor belt, a vibration feeder, and a magnetic drum. This system was trained and validated on real-world industrial data gathered directly from the working separator under 81 different operational scenarios. The intelligent models were used to recommend optimal settings for drum speed, belt speed, vibration intensity, and drum angle, thereby maximizing separation quality and minimizing energy consumption. the smart separation module utilizes YOLOv11n-seg and achieves a mean average precision (mAP) of 0.838 across 7163 industrial instances from aluminum, copper, and plastic materials. For shape classification (sharp vs. smooth), the model reached 91.8% accuracy across 1105 annotated samples. Furthermore, the thermal monitoring unit can detect iron contamination by analyzing temperature anomalies. Scenarios with iron showed a maximum temperature increase of over 20 °C compared to clean materials, with a detection response time of under 2.5 s. The architecture integrates a Digital Twin using Azure Digital Twins to virtually mirror the system, enabling real-time tracking, behavior simulation, and remote updates. A full connection with the PLC has been implemented, allowing the AI-driven system to adjust physical parameters autonomously. This combination of AI, IoT, and digital twin technologies delivers a reliable and scalable solution for enhanced separation quality, improved operational safety, and predictive maintenance in industrial recycling environments.","url":"https://doi.org/10.3390/s25154731","authors":["Shohreh Kia","Johannes B. Mayer","Erik Westphal","Benjamin Leiding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-04T16:41:54Z","doi":"10.3390/s25154731","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.55248/gengpi.6.0425.1410","name":"Usage of Digital Twin Technology for Sustainable Development in Sri Lanka's Construction Sector","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.6.0425.1410","authors":["Geekiyanage C.L","Prabodhani L.H.K.N.","Wijerathna R.M.K.K.","Dr. Lekamge L.S.","Erandi J.D.T"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-25T11:15:59Z","doi":"10.55248/gengpi.6.0425.1410","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00236","name":"DT-EEC: A Digital Twin-assisted End-Edge-Cloud Collaboration Architecture for Industrial Internet","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00236","authors":["Lujie Tang","Kejiang Ye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T17:27:38Z","doi":"10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00236","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.5220/0012995800003822","name":"Setting up a Digital Twin for Real-Time Remote Monitoring of a Cyber-Physical System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012995800003822","authors":["Adrien Vinel","Séverine Durieux","Laurent Piétrac","Glênio Simião Ramalho","Nicolas Blanchard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T22:41:22Z","doi":"10.5220/0012995800003822","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/access.2025.3583313","name":"Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3583313","authors":["Quanbo Lu","Mei Li","Xiaojuan Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-26T17:44:14Z","doi":"10.1109/access.2025.3583313","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.5592/co/cetra.2026.1839","name":"Leveraging Data-Driven Safety Assurance and Digital-Twin Validation for Safe and Reliable Autonomous Public Transport Systems","source":"crossref","abstract":"The deployment of Autonomous Vehicles (AVs) in public transport networks demands a new approach to safety assurance that can keep pace with fast-evolving software and communication technologies. Traditional certification frameworks are not designed for systems that continuously learn, exchange data, and update over their lifecycle. Based on lessons learned within actual commercial implementations, Ricardo has developed a data-driven safety assurance framework that combines best practices of functional safety engineering with stateof-the-art approaches such as digital twin validation and continuous verification. A digital twin, a dynamic virtual representation of a vehicle and its operating environment, enables extensive virtual testing of automated driving functions and communication interfaces, helping build confidence before real-world trials begin. By integrating real-time data from sensors, vehicle-to-infrastructure (V2X) links, and cloud analytics, the approach supports continuous comparison between simulated and actual performance to detect anomalies, predict failures, and maintain compliance with safety standards such as ISO 26262. This paper illustrates this methodology through practical experience taken from Ricardo’s AV projects, including commercial autonomous shuttle deployments (MASDAR, Rivium Parkshuttle, Terhills), truck-platooning pilots, Automated Train Operation initiatives (including Europe’s Rail R2DATO) and autonomous freight and terminal trucks. Taking these examples, the paper demonstrates how properly layered simulation, virtual validation, and cybersecurity assurance increase dependability, reduce testing costs, and accelerate regulatory approval.","url":"https://doi.org/10.5592/co/cetra.2026.1839","authors":["Tom Jansen","Rolf Graafland"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T05:32:52Z","doi":"10.5592/co/cetra.2026.1839","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1108/ilt-12-2025-0567/v1/decision1","name":"Decision letter for \"Simulation and Experimental Verification of Vibration Signals for Bearing Faults in the Framework of Digital Twin\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-12-2025-0567/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-27T21:05:09Z","doi":"10.1108/ilt-12-2025-0567/v1/decision1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.64388/irev9i7-1713820","name":"Digital Twin Modeling of Medicinal Plant Growth and Metabolite Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.64388/irev9i7-1713820","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-28T08:46:12Z","doi":"10.64388/irev9i7-1713820","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.2139/ssrn.5022382","name":"A Digital Twin-Based Reduced-Order Prediction Model for Power Transmission and Transformation Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5022382","authors":["Caixi Liu","Wei Xu","Shuo Feng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T14:23:47Z","doi":"10.2139/ssrn.5022382","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-030-51812-7_253-1","name":"Digital Twin and Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-51812-7_253-1","authors":["Samad M. E. Sepasgozar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-10T07:02:42Z","doi":"10.1007/978-3-030-51812-7_253-1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1108/ilt-12-2025-0567/v2/decision1","name":"Decision letter for \"Simulation and Experimental Verification of Vibration Signals for Bearing Faults in the Framework of Digital Twin\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-12-2025-0567/v2/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-27T21:05:09Z","doi":"10.1108/ilt-12-2025-0567/v2/decision1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.2139/ssrn.6908978","name":"Toward the Digital Athlete Twin: Continuous Multimodal Physiology in Elite Sport","source":"crossref","abstract":"&lt;p&gt;Elite athlete monitoring has become increasingly sophisticated in the breadth of data it collects, yet the paradigm governing interpretation has not kept pace. Physiological signals are routinely assessed as isolated biomarkers against population-derived thresholds, an approach that discards trajectory information, ignores inter-domain dependencies, and systematically erases the individual biological context in which any single measurement acquires meaning. The result is a structural blind spot: physiological states that emerge from the convergent deterioration of multiple systems simultaneously remain largely undetectable by current monitoring architectures, regardless of data volume.&lt;/p&gt; &lt;p&gt;Here we propose the Digital Athlete Twin (DAT), a conceptual and computational framework for continuous multimodal physiology in elite sport. The DAT integrates longitudinal data across eleven physiological domains through foundation model architectures capable of self-supervised representation learning, probabilistic latent state inference, and calibrated uncertainty quantification.&lt;/p&gt; &lt;p&gt;Two formal constructs are introduced: the Latent Adaptive State (LAS), a continuously updated probabilistic representation of the athlete's physiological condition inferred from the full multimodal trajectory; and the Convergent Overreaching Signature (COS), a weighted multimodal index designed to detect convergent directional deterioration across independent physiological domains that may evolve asynchronously over time, a class of physiological pattern that population-threshold approaches are architecturally constrained from characterizing.&lt;/p&gt; &lt;p&gt;The motivating case for this framework derives from a longitudinal observational study of a single elite footballer, included solely as an illustrative translational example. The DAT, LAS, and COS are proposed constructs requiring prospective empirical validation; no operational system is described. A four-phase translational roadmap identifies the infrastructure, validation milestones, and governance requirements for progressive deployment.&lt;/p&gt; &lt;p&gt;The framework represents a conceptual shift from isolated biomarker monitoring toward continuous, probabilistic, and individualized physiological intelligence, providing a potential foundation for next-generation athlete monitoring systems in elite sport.&lt;/p&gt;","url":"https://doi.org/10.2139/ssrn.6908978","authors":["Rafael Silvestre Knack","Renata Silvestre Knack","Ricardo Silvestre Knack"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:50:15Z","doi":"10.2139/ssrn.6908978","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.12688/digitaltwin.17448.2","name":"A digital twin network solution for end-to-end network service level agreement (SLA) assurance","source":"crossref","abstract":"With the gradual development of the 5G industry network and applications, each industry application has various network performance requirements, while customers hope to upgrade their industrial structures by leveraging 5G technologies. The guarantee of service level agreement (SLA) requirements is becoming more and more important, especially SLA performance indicators, such as delay, jitter, bandwidth, etc. For network operators to fulfill customer’s requirements, emerging network technologies such as time-sensitive networking (TSN), edge computing (EC) and network slicing are introduced into the mobile network to improve network performance, which increase the complexity of the network operation and maintenance (O&amp;M), as well as the network cost. As a result, operators urgently need new solutions to achieve low-cost and high-efficiency network SLA management. In this paper, a digital twin network (DTN) solution is innovatively proposed to achieve the mapping and full lifecycle management of the end-to-end physical network. All the network operation policies such as configuration and modification can be generated and verified inside the digital twin network first to make sure that the SLA requirements can be fulfilled without affecting the related network environment and the performance of the other network services, making network operation and maintenance more effective and accurate.","url":"https://doi.org/10.12688/digitaltwin.17448.2","authors":["Xiaowen Sun","Cheng Zhou","Xiaodong Duan","Tao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T22:15:44Z","doi":"10.12688/digitaltwin.17448.2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.5194/egusphere-egu22-13542","name":"Climate change adaptation digital twin to support decision making","source":"crossref","abstract":"&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Climate change will have far reaching impacts on human and natural systems during the 21st&amp;lt;sup&amp;gt;&amp;amp;#160;&amp;lt;/sup&amp;gt;century. To increase the understanding of the present and future climate impacts and build resilience, improved Earth system modelling is required. The European Commission Destination Earth (DestinE) initiative aims to contribute to this by developing high precision digital twins (DTs) of the Earth. We present our solution to a climate-change adaptation DT, which is one of the two DTs developed during the first phase of DestinE. The objective of the climate change adaptation DT is to improve the assessment of the impacts of climate change and different&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;adaptation actions at regional and national levels over multi-decadal timescales&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;. This will be achieved by using two storm- and eddy-resolving global climate models, ICON (Icosahedral Nonhydrostatic Weather and Climate Model) and IFS (Integrated Forecasting System). The models will be run at a resolution of a few km on pre-exascale LUMI and MareNostrum5 supercomputers, which are flagship systems of&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;the European High Performance Computing Joint Undertaking (EuroHPC JU) network. Following a radically different approach, climate simulations will be combined with a set of impact models, which enables assessing impacts on different sectors and topics, such as forestry, hydrology, cryosphere, energy, and urban areas. The end goal is to create a new type of climate simulations, in which&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;user requirements are an integral part of the workflow&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;, and thus adaptation solutions can be effectively deployed.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu22-13542","authors":["Jenni Kontkanen","Pekka Manninen","Francisco Doblas-Reyes","Sami Niemelä","Bjorn Stevens"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-28T08:50:37Z","doi":"10.5194/egusphere-egu22-13542","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.4737831","name":"A Framework for Incorporating Rainfall Data into a Flooding Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4737831","authors":["Amy  Charlotte Green","Elizabeth Lewis","Xue Tong","Robin Wardle"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-24T21:17:32Z","doi":"10.2139/ssrn.4737831","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003281184-2","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-2","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1002/9781394411337.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.index","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.index","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/cac59555.2023.10450960","name":"Monitoring System of Robot Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac59555.2023.10450960","authors":["Kang Hou","Jiuhong Yu","Tianying Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T18:04:17Z","doi":"10.1109/cac59555.2023.10450960","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1515/9780691223407-013","name":"Acknowledgments","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-013","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-013","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/wsc60868.2023.10408428","name":"Data Requirements for A Digital Twin of A Robot Workcell","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc60868.2023.10408428","authors":["Deogratias Kibira","Guodong Shao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-31T13:30:14Z","doi":"10.1109/wsc60868.2023.10408428","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1007/978-3-031-53445-4_2","name":"Digital Twin for Decision-Support: An Insight into the Integration of Simulation Models into Digital Twin Architectures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-53445-4_2","authors":["Farah Abdoune","Vincent Cheutet","Maroua Nouiri","Olivier Cardin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-03T00:06:36Z","doi":"10.1007/978-3-031-53445-4_2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/access.2024.3501377","name":"Small-Scale IoT Energy Consumption Visualization Using Digital Twin Technique","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3501377","authors":["Nalinee Sophatsathit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-18T18:58:20Z","doi":"10.1109/access.2024.3501377","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1093/ijlct/ctaf147","name":"Digital twin for renewable energy landscape planning and design","source":"crossref","abstract":"Abstract To address the uncertainties and the integration of multisource data during landscape planning, we proposed a digital twin-based renewable energy landscape planning and design method. First, a probabilistic graph model combined with decision-coupled network was introduced to optimize modeling uncertainties and interrelationships. Then, a landscape planning recognition model was proposed to achieve feature matching between real and simulated scenes. And heterogeneous data assimilation was used to optimize the discrepancies between multimodal data. Experimental results proved that the proposed method outperformed existing methods in several key performance indicators, particularly in model accuracy and reliability, and it significantly reduced data assimilation errors.","url":"https://doi.org/10.1093/ijlct/ctaf147","authors":["Hao Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-23T12:54:29Z","doi":"10.1093/ijlct/ctaf147","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.23919/aeit63317.2024.10736865","name":"Digital Twin Applications in the Energy Sector","source":"crossref","abstract":"","url":"https://doi.org/10.23919/aeit63317.2024.10736865","authors":["Saeid Shahmoradi","Andrea Mazza","Enrico Pons"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-05T18:29:39Z","doi":"10.23919/aeit63317.2024.10736865","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.70675/c1c0a0e4zb297z4f8ezb0d7zb3d6beee4160","name":"Mathematical modeling, simulation and order reduction of ocular flows and their interactions : building the digital twin of the eye","source":"crossref","abstract":"Modélisation mathématique, simulation et réduction d’ordre de flux oculaires et leurs interactions : construire le jumeau numérique de l'oeil Le corps humain est un système complexe, et l'œil humain n’y fait pas exception. Malgré les avancées médicales, de nombreuses questions pathologiques subsistent. Les modèles mathématiques et computationnels complètent les études cliniques en dévoilant des mécanismes physiopathologiques complexes.L'œil, accessible de manière non invasive, offre des marqueurs biologiques utiles pour diagnostiquer des maladies. Comprendre son comportement, ses pathologies et les traitements associés est donc essentiel.Cette thèse explore la modélisation et la simulation des flux oculaires, notamment le transfert de chaleur et le flux d’humeur aqueuse. Ces approches nécessitent des validations cliniques rigoureuses et tiennent compte de nombreux paramètres, spécifiques au patient ou externes. Une analyse de sensibilité globale évalue leur impact pour guider les cliniciens. Ces analyses, coûteuses en calculs, bénéficient de méthodes de réduction de modèle certifiées, permettant des simulations précises et plus rapides, favorisant l’intégration des modèles dans la pratique clinique.","url":"https://doi.org/10.70675/c1c0a0e4zb297z4f8ezb0d7zb3d6beee4160","authors":["Thomas Saigre"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T03:30:57Z","doi":"10.70675/c1c0a0e4zb297z4f8ezb0d7zb3d6beee4160","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.6386079","name":"Impact of Digital Twin Adoption on Food Supply Chain Performance: A System Dynamics Approach","source":"crossref","abstract":"Digital Twin (DT) technology provides a promising solution to challenges within the food supply chain (FSC) due to its unique characteristics. While existing literature highlights the potential of DTs to enhance real-time monitoring, predictive analytics, and operational efficiency, a quantitative assessment of the overall impact of DT implementation on FSC performance is missing. This study bridges this research gap by integrating experimental and analytical approaches. Empirical data were collected through questionnaires from food industry practitioners, combined with literature to develop a mental model for capturing the interrelationships among DT-relevant technologies, FSC operations, and supply chain performance. Later, by deploying systems thinking and system dynamics (SD) modelling approaches, the impact of DT adoption on FSC operational metrics is evaluated. The findings indicate that the DT positively impacts inventory levels, actual delay (lead time), and unfulfilled orders in the short term, while contributing to cost reduction and food waste in the long term. The SD models not only highlight the impact of integrative technology adoption on the operations of FSCs but also provide a comprehensive framework for modelling and assessing SC systems under the influence of technology. This study contributes by providing quantitative evidence of DT's impact on the FSC.","url":"https://doi.org/10.2139/ssrn.6386079","authors":["Ying Huang","Abhijeet Ghadge","Nicky Yates"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T07:51:37Z","doi":"10.2139/ssrn.6386079","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3390/buildings16091788","name":"From BIM to Digital Twin: A Data-Driven Closed-Loop Framework for Dynamic Construction Progress Management","source":"crossref","abstract":"Traditional construction progress management is hindered by reliance on manual monitoring, delayed information feedback, and a lack of proactive correction capabilities. To address these issues, this study proposes a data-driven closed-loop framework for dynamic progress management leveraging Building Information Modeling (BIM) and Digital Twin (DT). The proposed framework is operationalized through three integrated modules: (i) a dynamic perception layer that synchronizes on-site conditions via IoT and digitized construction logs; (ii) a stochastic prediction engine coupling machine learning with Monte Carlo Simulation (MCS) to quantify delay risks; and (iii) an optimization module based on a Constraint Satisfaction Problem (CSP) model for automated strategy generation. The system’s efficacy was preliminarily evaluated through a prototype application on a primary school building project. Findings from this case indicate that the framework enables near real-time synchronization for schedule deviation warnings, effectively compressing the information latency from days to within a single management cycle. Furthermore, within the empirical scope of the case study, the implementation of DT-driven strategies was associated with a 3-day schedule advancement relative to the simulated baseline and a 15% reduction in the resource idle rate compared to the pre-deployment phase. This study provides a potential pathway for enhancing progress control precision in similar construction environments.","url":"https://doi.org/10.3390/buildings16091788","authors":["Han Wu","Zhaoyi Zeng","Yangfa Peng","Qi Yang","Hao Deng","Jian Yu","Peng Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-30T10:47:28Z","doi":"10.3390/buildings16091788","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.4937841","name":"Real-Time Localization of Objects using Radio Frequency Propagation in Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4937841","authors":["Sunday Amatare","Gaurav Singh","Aavash Kharel","Debashri Roy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-25T18:13:51Z","doi":"10.2139/ssrn.4937841","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00027-3","name":"Sensor networks for safe cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00027-3","authors":["Mustafa Sanlı"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:49:45Z","doi":"10.1016/b978-0-443-30076-9.00027-3","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.6816226","name":"A Digital Twin-Based Adaptive Optimization Framework for LNG Processes under Equipment Degradation","source":"crossref","abstract":"The energy consumption of LNG liquefaction processes is strongly affected by coupled refrigerant compression, cryogenic heat exchange, expansion, recirculation, feed conditions, operating variables, and equipment performance. Therefore, an optimization framework is required that can update operating decisions as process conditions change and maintain model reliability under equipment degradation. This study proposes a degradation-aware digital twin-based AI optimization framework that collects process-consistent data from the digital twin, uses an ML surrogate model to propose optimal operating conditions, and updates the model under degradation. The calibrated digital twin, constructed using actual LNG operating data, reduced the average prediction error of key process variables from 3.24% to 0.78% and served as a reference environment for data generation and revalidation of optimized operating conditions. To maintain optimization applicability under process changes, the pretrained surrogate model was updated using limited degraded-process data through a layer-wise transfer learning strategy designed to preserve prediction accuracy and generalization performance. The updated surrogate model was evaluated on unseen degraded-process data and at optimized operating points reintroduced into the digital twin, verifying its reliability under changing operating and degradation scenarios. Finally, energy consumption was compared to assess process-level effectiveness. Compared with the existing operating strategy, the proposed framework achieved average energy savings of 1.51%, 1.66%, and 3.19% under normal, uniformly degraded, and locally degraded conditions, respectively. Under degradation, model updating provided additional savings of 1.12% and 3.76% compared with optimization using the non-updated surrogate model.","url":"https://doi.org/10.2139/ssrn.6816226","authors":["Sunghun Song","Dela  Quarme Gbadago","SUNGWON HWANG"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-23T02:37:47Z","doi":"10.2139/ssrn.6816226","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.66816/tp6812707","name":"EXERGETIC: De-Risking Next-Generation Resilient Geothermal Hybrids via At-Scale Evaluation Using Virtual Emulation Digital Twin Environment for Efficient Operation","source":"crossref","abstract":"","url":"https://doi.org/10.66816/tp6812707","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-03T21:20:54Z","doi":"10.66816/tp6812707","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003516132-7","name":"Digital Twin Solutions for Heat Storage Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003516132-7","authors":["Ahmad Jamil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T10:54:12Z","doi":"10.1201/9781003516132-7","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1515/9780691223407-015","name":"Glossary","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-015","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-015","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1201/9788770041478-13","name":"Network Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9788770041478-13","authors":["Csaba Vulkán","Péter Szilágyi","Nurit Sprecher"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-15T09:31:13Z","doi":"10.1201/9788770041478-13","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.18690/um.fov.4.2024.11","name":"A Maturity Model for Evaluating Data-driven Sustainability Management","source":"crossref","abstract":"In order to stay competitive, manufacturing companies seek to enhance the accuracy, timeliness, and transparency of their sustainability efforts. This can be achieved through implementing data-driven and dynamic sustainability measurement throughout product life cycles. We introduce a maturity model for assessing and improving data-driven sustainability management, encompassing eight technical and organizational dimensions derived from both theory and practitioner insights through a design science research approach. We detail the maturity levels within each dimension, providing insights into companies' progress. For instance, in data handling and data sensors, companies move from basic implementation to real-time integration and cloud connectivity. The model also highlights challenges, such as collecting sustainability background data, formulating sustainability KPIs, and how to tailor sustainability communication. We emphasize the importance of aligning sustainability efforts with strategic business outcomes and the role of a pervasive data culture within companies. The article concludes with considerations for future research and model refinement.","url":"https://doi.org/10.18690/um.fov.4.2024.11","authors":["Anna Sell"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.11","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.14270/ijce2024.a00256.18","name":"Rolling Bearing Fault Diagnosis Based on Digital Twin Method","source":"crossref","abstract":"","url":"https://doi.org/10.14270/ijce2024.a00256.18","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-24T22:11:02Z","doi":"10.14270/ijce2024.a00256.18","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.25236/ajets.2022.051303","name":"Energy Efficiency Optimization Based on Digital Twin Workshops","source":"openalex","abstract":"In order to realize the optimization of energy saving for the digital processing workshop, reducing the energy consumption of equipment in the workshop and improving the energy efficiency of the workshop is also imperative. Energy efficiency optimization based on digital twin workshop is proposed. According to the characteristics of the whole processing process and energy consumption of the workshop, the dynamic energy efficiency model of the digital twin workshop is established to realize the visualization platform of control substantiation and management. The NSGA-II algorithm is used to analyse the energy efficiency analysis method of machine tool scheduling and plan the digital twin energy efficiency scheduling scheme.","url":"https://doi.org/10.25236/ajets.2022.051303","authors":["Guoshun Wang"],"tags":["Efficient energy use","Computer science","Energy consumption","Scheduling (production processes)","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"10.25236/ajets.2022.051303","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1007/978-3-032-07694-6_9","name":"TF-TransUNet1D: Time-Frequency Guided Transformer U-Net for Robust ECG Denoising in Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-07694-6_9","authors":["Shijie Wang","Lei Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T18:04:53Z","doi":"10.1007/978-3-032-07694-6_9","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.12688/digitaltwin.17448.1","name":"A digital twin network solution for end-to-end network service level agreement (SLA) assurance","source":"crossref","abstract":"With the gradual development of the 5G industry network and applications, each industry application has various network performance requirements, while customers hope to upgrade their industrial structures by leveraging 5G technologies. The guarantee of service level agreement (SLA) requirements is becoming more and more important, especially SLA performance indicators, such as delay, jitter, bandwidth, etc. For network operators to fulfill customer’s requirements, emerging network technologies such as time-sensitive networking (TSN), edge computing (EC) and network slicing are introduced into the mobile network to improve network performance, which increase the complexity of the network operation and maintenance (O&amp;M), as well as the network cost. As a result, operators urgently need new solutions to achieve low-cost and high-efficiency network SLA management. In this paper, a digital twin network (DTN) solution is innovatively proposed to achieve the mapping and full lifecycle management of the end-to-end physical network. All the network operation policies such as configuration and modification can be generated and verified inside the digital twin network first to make sure that the SLA requirements can be fulfilled without affecting the related network environment and the performance of the other network services, making network operation and maintenance more effective and accurate.","url":"https://doi.org/10.12688/digitaltwin.17448.1","authors":["Xiaowen Sun","Cheng Zhou","Xiaodong Duan","Tao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-28T11:58:00Z","doi":"10.12688/digitaltwin.17448.1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1007/978-3-658-44453-2_8","name":"Summary","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-658-44453-2_8","authors":["Florian Blaschke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-10T09:01:46Z","doi":"10.1007/978-3-658-44453-2_8","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.2139/ssrn.4883821","name":"Fishmet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4883821","authors":["Sergey Budaev","Giovanni Cusimano","Ivar Rønnestad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-03T03:18:25Z","doi":"10.2139/ssrn.4883821","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/tccn.2025.3637267/mm1","name":"Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems_supp1-3637267.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tccn.2025.3637267/mm1","authors":["Kunlun Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-05T18:40:17Z","doi":"10.1109/tccn.2025.3637267/mm1","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.5194/egusphere-egu25-17981","name":"The GLObal-to-Regional ICON (GLORI) Digital Twin: towards hectometric scale predictions for high-impact weather","source":"crossref","abstract":"The Global-to-Regional ICON (GLORI) Digital Twin is a configurable on-demand global-to-regional short-range high-resolution digital twin based on ICON. It is developed in a tri-lateral cooperation between Germany, Italy and Switzerland.GLORI provides short-range global predictions down to the storm-scale (~3 km horizontal) and on-demand high resolution (~ 500 m) predictions for selected regions, like the Alpine domain or the Italian peninsula. It includes an uncertainty estimation through ensemble forecasts for global and regional scales. The data assimilation system is ensemble-based, both for the global and the regional components. The GLORI Digital Twin aims at providing forecasts down to the application level, for a range of use cases including flood forecasting, urban heat island and urban flooding events, mineral dust predictions for energy applications and pollen predictions.Moving to higher resolution requires improvements both in the model and in the data assimilation system. We test the ICON model in complex topography and highlight its behaviour in dependence of conditions like stable boundary layer, flow interacting with the orography, convection development, different soil textures and urban areas. In that, GLORI can also be seen as testing environment for the development of hectometric scale modeling. The research focuses also on data assimilation at higher resolution, both for the global and for the regional runs, and on the usage of high-resolution observations. The assimilation of the radar data of the three partner countries is tested over the Alpine domain, aiming at the improvement of the prediction of convective events. Dedicated studies focus on direct assimilation at 1 km resolution. This goal demands a rigorous evaluation of the entire assimilation workflow, including observation thinning, averaging strategies, localization, and observation error quantification. The impact of performing data assimilation at 2 km resolution with nesting at 1 km is then compared with direct assimilation in the 1km domain. The performance of the Digital Twin is assessed on high-impact weather events, considering in particular convective development leading to severe weather and the recent flood events.","url":"https://doi.org/10.5194/egusphere-egu25-17981","authors":["Chiara Marsigli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T04:54:01Z","doi":"10.5194/egusphere-egu25-17981","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1007/978-981-95-5915-2","name":"Digital Twin Technology for Sustainable Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-5915-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T12:52:00Z","doi":"10.1007/978-981-95-5915-2","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1109/wsc57314.2022.10015237","name":"Data-Based Digital Twin of an Automated Guided Vehicle System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc57314.2022.10015237","authors":["Isabella Lichtenstern","Florian Kerber"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-23T20:11:54Z","doi":"10.1109/wsc57314.2022.10015237","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:35.438Z"},{"id":"doi:10.1126/science.ads7922","name":"Virtual You: How Building Your Digital Twin Will Revolutionize Medicine and Change Your Life\n            <b>Virtual You: How Building Your Digital Twin Will Revolutionize Medicine and Change Your Life</b>\n            <i>Peter Coveney and Roger Highfield</i>\n            Princeton University Press, 2023. 336 pp.","source":"crossref","abstract":"","url":"https://doi.org/10.1126/science.ads7922","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-26T18:00:52Z","doi":"10.1126/science.ads7922","addedAt":"2026-09-01T01:47:35.438Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2139/ssrn.5065955","name":"Leveraging Digital Twin and Dynamic Scheduling for Enhanced Human-Robot Collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5065955","authors":["Pierre Hémono","Ahmed NAIT CHABANE","M&apos;hammed Sahnoun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-20T10:43:35Z","doi":"10.2139/ssrn.5065955","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.20944/preprints202601.0275.v1","name":"&lt;em&gt;EcoTechnoPolitics:&lt;/em&gt; Towards Planetary Thinking Beyond Digital-Green Twin Transitions","source":"preprints","abstract":"This article advances EcoTechnoPolitics as a transformational conceptual and policy rec-ommendation framework for hybridizing digital–green twin transitions under conditions of planetary polycrises. It responds to growing concerns that dominant policy approaches by supranational institutions—including the EU, UN, OECD, World Bank Group, WEF, and G20—remain institutionally siloed, technologically reductionist, and insufficiently attentive to ecological constraints. Moving beyond the prevailing digital–green twin transitions paradigm, the article coins EcoTechnoPolitics around three hypotheses: the need for planetary thinking grounded in (i) anticipatory governance, (ii) hybridization, and (iii) a transformational agenda beyond cosmetic digital–green alignment. The research question asks how EcoTechnoPolitics can enable planetary thinking beyond digital–green twin transitions under ecological and technological constraints. Methodologically, the study triangulates (i) an interdisciplinary literature review with (ii) a place-based analysis of two socially cohesive city-regions—the Basque Country and Portland (Oregon)—and (iii) a macro-level policy analysis of supranational digital and green governance frameworks. The results show that, despite planetary rhetoric around sustainability and digitalization, prevailing policy architectures largely externalize ecological costs and consolidate technological power. Building on this analysis, the discussion formulates transformational policy recommendations. The conclusion argues that governing plan-etary-scale ecotechnopolitical systems requires embedding ecological responsibility within technological governance.","url":"https://doi.org/10.20944/preprints202601.0275.v1","authors":["Igor Calzada","Itziar Eizaguirre"],"tags":["Transformational leadership","Sustainability","Rhetoric","Sociology","Corporate governance"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202601.0275.v1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.17762/ijisae.v10i2s.8469","name":"Digital Twin Architectures for Predictive Maintenance of Electric and Gas Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.17762/ijisae.v10i2s.8469","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T17:23:55Z","doi":"10.17762/ijisae.v10i2s.8469","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1115/ht2024-122272","name":"Digital Twin Development of a R134a Plate-Tube Evaporator","source":"crossref","abstract":"Abstract This work proposes a machine-learning framework for developing digital twins of evaporators, crucial components within heat pumps, by training nonlinear regression models with high-fidelity unsteady CFD data. This is applied to a plate-tube type heat evaporator within a single-stage heat pump utilizing R134a refrigerant to recover heat from waste water. The independent variables are chosen as the refrigerant and water inlet velocity and temperature values, and the R134a evaporation pressure under transient conditions. We identify the dynamic heat transfer process in the evaporator with three objective functions i.e., dependent variables: heat transfer coefficients on both the water and refrigerant sides, and dryness fraction at the outlet of the refrigerant flow domain. The Latin hypercube data-sampling method is employed to generate a data space along the selected independent variables. Reynolds-averaged Navier-Stokes filtered flow equations, coupled with the Volume of Fluid method for modeling phase change in the 3D heat exchanger domain, are solved for each scenario in the data space to generate the training data. Gaussian process regression, trained using 80% of the generated data and validated by the remaining set, is utilized to identify surrogate models for the objective functions at each time interval during operation.","url":"https://doi.org/10.1115/ht2024-122272","authors":["Ali Can Ispir","Michel Speetjens"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-09T14:54:06Z","doi":"10.1115/ht2024-122272","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1201/9781003395416-1","name":"Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003395416-1","authors":["Sita Rani","Pankaj Bhambri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-17T18:23:25Z","doi":"10.1201/9781003395416-1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2307/j.ctv2xqngmf","name":"Virtual You","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf","authors":["Peter Coveney","Roger Highfield"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6435558","name":"Intelligent Framework for Battery Parameter Estimation using Vehicle Runtime Log Data towards Battery Digital Twin","source":"crossref","abstract":"This work presents an intelligent framework for estimation of battery dynamics of lithium-ion cells using runtime log data collected during real electric vehicle operation, contributing towards battery digital twin development. Conventional parameter estimation methods which are typically employed during estimation of battery dynamics rely on laboratory characterization test such as Hybrid Pulse Power Characterization (HPPC) tests, requiring significant rest duration. The proposed approach performs parameter estimation directly from operational vehicle data without dedicated laboratory experiments. The dataset includes terminal voltage, current, temperature, and state of charge (SOC) recorded under multiple real driving cycles, capturing realistic load variations, thermal dynamics, and operational uncertainties. First, a second-order Equivalent Circuit Model (ECM) is formulated to represent the electrical dynamics of the battery. Subsequently, model parameters are identified across SOC bands (15–85%) and temperature ranges (5–35 °C) using FMRLS, EKF, KF, and FFRLS, coupled with a lumped thermal model. To improve terminal voltage prediction accuracy, a Random Forest–based machine learning correction layer is further introduced to learn the residual error between ECM-predicted and measured voltage. The proposed hybrid physics–machine learning framework is validated using the considered electric vehicle’s unseen operational data. This demonstrates the capability of the framework for accurate estimation of battery temperature, SOC, and terminal voltage, highlighting its significant potential for scalable battery monitoring and real-world digital twin applications.","url":"https://doi.org/10.2139/ssrn.6435558","authors":["Siddharth  Kumar Sharma","Somnath Sengupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-18T03:41:07Z","doi":"10.2139/ssrn.6435558","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-90099-0","name":"Digital Twin Technology for Smart Grid","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-90099-0","authors":["Sabrieh Choobkar","Seyed Mohsen Hashemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T11:05:33Z","doi":"10.1007/978-3-031-90099-0","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1515/9780691223407-002","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-002","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-002","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4510070","name":"Digital Twin Based Iot-Enabled Task Orchestration for Optimal Nanogrid Energy Trading System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4510070","authors":["Faiza Qayyum","Harun Jamil","Do-Hyeun Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-14T12:18:41Z","doi":"10.2139/ssrn.4510070","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/978-3-032-08120-9_6","name":"Conclusions and Future Research Directions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-08120-9_6","authors":["Changyan Yi","Ruoyang Chen","Jiayuan Chen","Xiaolong Li","Jun Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-02T00:50:10Z","doi":"10.1007/978-3-032-08120-9_6","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5220/0014966700004030","name":"A Reduced-Order Model-Driven Augmented Reality Digital Twin for Real-Time Vehicle Chassis Displacement Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014966700004030","authors":["Alessio Cellupica","Mariagrazia Tristano","Marco Cirelli","Pier Valentini","Frank Naets"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T16:11:10Z","doi":"10.5220/0014966700004030","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.3990/1.9789036568647","name":"Toward a Digital Twin for saltwater intrusion management in the Rhine–Meuse Delta: From monitoring to decision support","source":"crossref","abstract":"","url":"https://doi.org/10.3990/1.9789036568647","authors":["Mo Wannasin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-01T06:50:18Z","doi":"10.3990/1.9789036568647","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1201/9781003268048-4","name":"Stochastic Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003268048-4","authors":["Ranjan Ganguli","Sondipon Adhikari","Souvik Chakraborty","Mrittika Ganguli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-29T23:32:52Z","doi":"10.1201/9781003268048-4","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.3901/jme.260129","name":"Digital Twin Construction for Structural Damage Identification","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.260129","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T06:56:44Z","doi":"10.3901/jme.260129","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.7120724","name":"A Reproducible Digital-Twin Framework for Water Leak Detection Using EPANET, Multisensor Fusion, and Machine Learning","source":"crossref","abstract":"Leakage is the largest single source of non-revenue water in distribution networks, and detecting it early limits water loss, energy waste, and infrastructure damage. This paper presents a reproducible digital-twin framework that couples a physics-based EPANET hydraulic model with multisensor data fusion and machine learning to detect and localise leaks. A calibrated, no-leak EPANET simulation serves as the digital twin; the difference between observed sensor readings and the twin’s predictions forms a residual signal that a machine-learning ensemble classifies as leak or normal operation and from which it estimates the leak location. The framework is evaluated on a 20-junction network over a 72-hour extended-period simulation with 480 leak and no-leak scenarios and realistic sensor noise. All methods are compared at a common, validation-calibrated 5% false-alarm budget on a held-out test set, and every result is reported as mean ± standard deviation over five random seeds. At matched false alarms the proposed framework achieved detection accuracy comparable to a traditional residual-threshold detector and a Kalman-fused multisensor baseline (96.5 ± 1.1%), but delivered the operationally important gains: 100% leak recall across all five seeds, roughly half the localisation error (1.18 versus 2.48 network hops), and substantially faster detection (1.67 versus 3.35 hours). The contribution is therefore not a large raw-accuracy gain but a more reliable, faster, and better-localised leak response, demonstrated within a fully reproducible, openly documented pipeline.","url":"https://doi.org/10.2139/ssrn.7120724","authors":["Ali Algaddafi","Siham Hasan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T04:37:51Z","doi":"10.2139/ssrn.7120724","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.18254/s207751800037548-1","name":"Development of the Agent-based Model – Digital Twin of Kamchatka","source":"crossref","abstract":"This article explores the development of an agent-based model of Kamchatka Krai. It presents structure of the model, which includes territorial structure, population, economy, education system and transport infrastructure. The population of Kamchatka Krai is represented by agents grouped into households and residing in various cities and districts. The model reflects maturation, birth, and death of agents, marriages and divorces, as well as their psychological profiles. The economy is presented by administrative units and types of economic activity, which are divided into groups: export-oriented, budget, and those focused on local demand. Dynamics of export-oriented and budget industries are determined by scenario parameters. When modeling the associated changes at the organizational level, output and supply volumes are adjusted, employee wages are indexed, and new jobs are created if necessary. As a result, demand for products from industries focused on local demand increases, which, in turn, adjust output and supply, index wages, and create new jobs. Educational system in the model includes primary, secondary, and higher education. The peninsula&amp;apos;s transport infrastructure is represented by highways, seaports, and airports. Economic development forecasts for the region were developed for a five-year period under the baseline and export-oriented scenarios. Calculations show a stable annual increase in GRP: 4% in the baseline scenario and 6% in the export-oriented scenario. In the baseline scenario, the greatest growth is observed in construction (7.1-9.7%) and leisure activities (6.8-8%). In the export-oriented scenario, even more active development is observed in construction (15.7-38.7%), crop production and livestock farming (7.8-8.4%), trade (6.8-6.9%), and leisure activities (8.8-9.9%). Analysis of the modeling results across the administrative structure of the region shows that in the baseline scenario, the fastest rates of economic development are expected in the Tigilsky District (5.1-5.4%), and in the export-oriented scenario, in Bystrinsky District (7.9-8.4%).","url":"https://doi.org/10.18254/s207751800037548-1","authors":["Aleksandra Mashkova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-23T18:43:21Z","doi":"10.18254/s207751800037548-1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/icit48603.2022.10002774","name":"Quadrotor digital twin platform based on Unity","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icit48603.2022.10002774","authors":["Fuquan Wang","Haibo Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-05T19:09:43Z","doi":"10.1109/icit48603.2022.10002774","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1201/9781003586951-4","name":"Harnessing digital twin technology in smart transportation system","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003586951-4","authors":["Wajahat Ali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-23T03:03:41Z","doi":"10.1201/9781003586951-4","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1063/1.5090745","name":"A comparative study on digital twin models","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.5090745","authors":["Qing Liu","Bin Liu","Guan Wang","Chen Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-02-14T01:30:43Z","doi":"10.1063/1.5090745","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00319","name":"A Cloud-Edge Collaborative Security Architecture for Industrial Digital Twin Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00319","authors":["Kong Yusheng","Wang Yazhe","Ren Lei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T17:27:38Z","doi":"10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00319","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5510361","name":"Explainable Discrepancy Checker and Diagnosis for Digital Twin-based Supervisory Control System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5510361","authors":["Linyu Lin","Jack Cavaluzzi","Daniel Mikkelson","Nicholas Cittadino"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-20T13:37:40Z","doi":"10.2139/ssrn.5510361","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5337178","name":"Knowledge-Sharing Asset Management: A System-Dynamics Approach for Digital Twin and Blockchain Integration","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5337178","authors":["Alhadi Alsaffar","Thomas Beach","Yacine Rezgui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-03T04:37:37Z","doi":"10.2139/ssrn.5337178","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.33313/389/152","name":"A Novel Digital Twin Approach in Work Roll Temperature Monitoring","source":"crossref","abstract":"ABSTRACT A quasi-axisymmetric numerical model was developed to control the strip rolling mill work rolls temperature. The digital twin was realized combining the mill sensors to the model in order to predict temperature field over the entire work roll volume. Roll barrel surface temperature is also measured in one sampling position. Process data are measured online, during mill operation, sent to the system and ingested by model in real time finalizing roll temperature evolution which is monitored during the campaign. This coupling helps to reach a consistent high roll thermal precision due to boundary conditions definition on actual process data recovered from mill sensors. This model is applicable on both continuous and reversible mills.","url":"https://doi.org/10.33313/389/152","authors":["Matteo Nobile","Giulio Planu","Francesco Valentinuz","Federico Franco"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/152","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/icufn61752.2024.10624966","name":"Medical Healthcare Digital Twin Reference Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icufn61752.2024.10624966","authors":["Kang Yoon Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T15:34:43Z","doi":"10.1109/icufn61752.2024.10624966","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/wsc63780.2024.10838936","name":"A Framework for Digital Twin Collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838936","authors":["Zhengchang Hua","Karim Djemame","Nikos Tziritas","Georgios Theodoropoulos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838936","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.47191/ijmcr/v9i3.02","name":"VIRTUAL COMMISSIONING, DIGITAL TWIN AND CONTROL STRATEGIES APPLIED IN THE INDUSTRIAL ROBOT PUMA 560","source":"crossref","abstract":"The objective of this work is the evaluation, through computational simulation, of the performance and behavior of the PUMA 560 robot under different types of motion controllers. Nominal models for control design were obtained through linearization of the robot dynamic model considering selected points of operation through Denavit-Hartenberg (DH) modeling and convention. In addition to a PID joint decentralized control law and a computed torque control law that had already been implemented in the simulator, it was implemented a predictive control law and a robust control law as well. Tuning of the parameters of these control laws were performed for the Puma 560 robot and each control system was evaluated through simulation. Results about the controller design and the control system simulation were collected and discussed. Completing this study aimed to analyzing a six degree of freedom robot manipulator motion control taking in account performance and robustness aspects, it was chosen a particular structure and introduced a force control loop; this controller design and simulator extension allowed an evaluation of some force control aspects and digital twin.","url":"https://doi.org/10.47191/ijmcr/v9i3.02","authors":["Rogério Adas Pereira Vitalli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-17T07:01:16Z","doi":"10.47191/ijmcr/v9i3.02","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1080/27525783.2025.2611624","name":"Research on the scheduling problem of partially re-entrant mixed assembly workshop based on IGPSO","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2611624","authors":["Ronghua Meng","Mengxin Xiao","Yingying Zhu","Zhengjia Wu","Shaohua Deng","Zanyang Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T16:32:48Z","doi":"10.1080/27525783.2025.2611624","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/jiot.2025.3535767","name":"Research on Integrated Sensing, Communication Resource Allocation, and Digital Twin Placement Based on Digital Twin in IoV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2025.3535767","authors":["Lun Tang","Asha Wang","Bingsen Xia","Yuanchun Tang","Qianbin Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-20T15:35:07Z","doi":"10.1109/jiot.2025.3535767","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.55248/gengpi.6.0625.2271","name":"Digital Twin-Enabled Smart Energy Management System for Forecasting and Virtualized Monitoring: Sustainable Power Consumption in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.6.0625.2271","authors":["Aravindhan N","Vendhan P"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-27T15:07:41Z","doi":"10.55248/gengpi.6.0625.2271","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1145/3673805.3673826","name":"Integrating ergonomics into the early stages of Digital Twin design: From the design of a Digital Twin for short-distance dairy producers to the definition of a generic and tool-based method","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3673805.3673826","authors":["Fanny Guennoc","Naomi Kamoise","Clément Guerin","Nathalie Julien"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-07T18:54:26Z","doi":"10.1145/3673805.3673826","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.12792/iciae2026.037","name":"Development of an Interactive Digital Twin Platform for Real-Time Multi-AGV Coordination and Visualization","source":"crossref","abstract":"","url":"https://doi.org/10.12792/iciae2026.037","authors":["I Ting Lee","Zi-Cheng Wang","Kuo-Shen Chen","Dirk Oberschmidt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-18T08:53:16Z","doi":"10.12792/iciae2026.037","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.36652/0869-4931-2024-78-8-339-342","name":"Architecture of a digital twin for container shipping monitoring","source":"crossref","abstract":"The developing problem of the digital twin information model of the railway rolling stock objects for a transport and logistics enterprise is considered. The architecture of the digital twin model for a cyber-physical production system is analyzed. An example of a transporting products means with a controlled temperature regime is given. An architecture for cargo transportation business processes based on digital twin model of a transport facility with managed online modes is developed. Keywords domain model, digital twin, transport logistics, information model architecture, cargo transportation management, specialized software","url":"https://doi.org/10.36652/0869-4931-2024-78-8-339-342","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-02T09:00:08Z","doi":"10.36652/0869-4931-2024-78-8-339-342","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.59287/irshas.406","name":"3D Printing Technology from an Industry 4, Digital Twin, Sustainability Perspective","source":"crossref","abstract":"","url":"https://doi.org/10.59287/irshas.406","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-21T09:48:38Z","doi":"10.59287/irshas.406","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5771/9783800594252","name":"Future Law","source":"crossref","abstract":"Ob vernetzte Fabriken, intelligente Social Bots oder autonomes Fahren – smarte Produkte sind in aller Munde. Das vorliegende Buch erweitert in der 2. Auflage das Spektrum der Themen, die in Zukunft die rechtliche Diskussion beherrschen werden, bis hin zum Weltraumrecht. Es erörtert Fragen künstlicher Intelligenz und autonomer Systeme, insbesondere unter haftungs- und produktsicherheitsrechtlichen Aspekten; ein praktischer Teil stellt ausgewählte Anwendungen des Internets der Dinge vor.","url":"https://doi.org/10.5771/9783800594252","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-25T08:25:58Z","doi":"10.5771/9783800594252","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/978-3-658-44453-2_3","name":"Objectives","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-658-44453-2_3","authors":["Florian Blaschke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-10T09:01:46Z","doi":"10.1007/978-3-658-44453-2_3","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5194/egusphere-egu26-17002","name":"The I-DT Hydro Framework: Immersive Digital Twin Platforms for Hydrologic Systems","source":"crossref","abstract":"Immersive digital twin platforms are emerging as a key paradigm for advancing the understanding and management of hydrologic systems, by integrating interfaces and workflows within a unified conceptual architecture. This contribution presents the I-DT Hydro Framework, a conceptual model that defines the core components, interactions, and design principles of immersive digital twin platforms for water resources applications. The framework functions as a human-facing integration layer for a hydrologic digital twin architecture that includes data integration, multi-scale modeling, and simulation pipelines, continuously supported by real-time monitoring from remote sensing, in-situ observations, and crowdsourced data, and made accessible through immersive and interactive interfaces. A central element of the I-DT Hydro Framework is the role of immersive interfaces, enabled through extended reality (XR), which mediates between complex computational processes and human interpretation and decision-making. Hydrologic systems and the models used to represent them are inherently complex and often inaccessible to non-specialist users. Immersive experiences provide a new method for decision-makers with diverse domain expertise to access, explore, and interpret the knowledge generated by hydrologic data and models. The framework further illustrates how hybrid modeling and machine learning can be embedded within autonomous pipelines to support adaptive decision support systems under dynamic environmental conditions. By explicitly linking platform layers, workflows, and user interaction, the I-DT Hydro Framework provides a shared reference for the design and evaluation of immersive digital twin platforms, supporting scalability, interoperability, and stakeholder engagement in hydrologic digitization.","url":"https://doi.org/10.5194/egusphere-egu26-17002","authors":["Siamak Bazzaz","Elizabeth Carter","Mehdi Rasti","Bjørn Kløve"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T03:19:41Z","doi":"10.5194/egusphere-egu26-17002","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.36227/techrxiv.21191167.v1","name":"The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches","source":"crossref","abstract":"The advancements of mixed reality services, with the evolution of network virtualization and native artificial intelligence (AI) paradigms, have conceptualized the vision of future wireless networks as a comprehensive entity operating in whole over a digital platform, with smart interaction with the physical domain, paving the way for the blooming of the Digital Twin (DT) concept. The recent interest in the DT networks is fueled by the emergence of novel wireless technologies and use-cases, that exacerbate the level of complexity to orchestrate the network and to manage its resources. Driven by the internet-of-sensing and AI, the key principle of the DT is to create a virtual twin for the physical entities and network dynamics, where the virtual twin will be leveraged to generate synthetic data, in addition to the received sensed data from the physical twin in an on-demand manner. The available data at the twin will be the foundation for AI models training and intelligent inference process. Despite the common understanding that AI is the seed for DT, we anticipate the DT and AI will be enablers for each other, in a way that overcome their limitations and complement each other benefits. In this article, we dig into the fundamentals of DT, where we reveal the role of DT in unifying model-driven and data-driven approaches, and explore the opportunities offered by DT in order to achieve the optimistic vision of 6G networks. We further unfold the essential role of the theoretical underpinnings in unlocking further opportunities by AI, and hence, we unveil their pivotal impact on the realization of reliable, efficient, and low-latency DT. Finally, we identify the limitations of AI-DT and overview potential future research directions, to open the floor for further exploration in AI for DT and DT for AI.","url":"https://doi.org/10.36227/techrxiv.21191167.v1","authors":["Lina Bariah","Merouane Debbah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-28T22:42:02Z","doi":"10.36227/techrxiv.21191167.v1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.7163350","name":"Artificial Intelligence-Driven Virtual Synthesis of Diamond-Like Carbon Coatings: Pioneering the Digital Twin Era in Surface Engineering","source":"crossref","abstract":"Abstract​ The principal originality of this manuscript resides in establishing Artificial Intelligence as the central orchestrator for synthesizing amorphous carbon matrices, fundamentally departing from traditional empirical calibration. Rather than navigating the overwhelming combinatorial matrix of reactive chamber environments and voltage biases, this work formulates a novel framework that directly links intrinsic ion dynamics to macroscopic mechanical outcomes. We reframe the historical evolution of these protective layers into a distinct progression of methodological eras, culminating in a paradigm where AI supersedes rudimentary statistical heuristics to enable autonomous, multi-objective property forecasting. Crucially, this investigation elevates machine learning algorithms beyond mere analytical utilities, positioning them as the foundational architecture for virtual material instantiation. By computationally decoupling plasma kinetics from physical fabrication constraints, the study pioneers a trajectory toward cyber-physical replication, effectively transforming the developmental lifecycle of advanced surface coatings into a proactive, digitally simulated ecosystem.","url":"https://doi.org/10.2139/ssrn.7163350","authors":["Rui Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T22:09:46Z","doi":"10.2139/ssrn.7163350","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/syscon64521.2025.11014877","name":"Digital Twin Application to Ocean Monitoring Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon64521.2025.11014877","authors":["Jarrett Brewer","Andy Simoneau","Rickey Dubay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T17:43:30Z","doi":"10.1109/syscon64521.2025.11014877","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4442538","name":"Physics-Informed Digital Twin for Wind Turbine Main Bearing Fatigue: Quantifying Uncertainty in Grease Degradation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4442538","authors":["Yigit  Anil Yucesan","Felipe Viana"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-09T06:19:26Z","doi":"10.2139/ssrn.4442538","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5009004","name":"Digital Twin Modeling for Science- Industrial Park Development to Enhance Urban  Sustainability in Tehran","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5009004","authors":["Soniya Falahatdoost","Xingping Wang","Shengbo Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-04T15:38:16Z","doi":"10.2139/ssrn.5009004","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2139/ssrn.6560618","name":"Toward a Digital Twin for Wheel Loaders: Diagonal Recurrent Neural Networks for Online Soil Parameter Estimation","source":"crossref","abstract":"Accurate soil parameter estimation can improve mobility, localization, and traversability pre-diction for earthmoving machines. However, most terramechanics studies have limited practical applicability because they rely on laboratory testbeds and ignore terrain variability. This paper presents two diagonal recurrent neural network estimators in a digital twin framework for a wheel loader, based on a reformulated terramechanics model for on-site applications. One estimator recovers shearing parameters and the other bearing parameters. The main novelty is a sinkage-driven update mechanism that identifies the parameters influenced by sinkage and emphasizes estimator outputs. Soil parameters are updated by minimizing errors between measured and reconstructed driving torque and vertical load. The method is evaluated in an AGX Dynamics/Unity3D environment serving as the physical replica of the digital twin. For regolith, consistent estimation is achieved across flat and sloped terrains, with MAPE ranging from 0.66% to 5.39% and promising results for other materials against literature baselines.","url":"https://doi.org/10.2139/ssrn.6560618","authors":["Ghayth GANDOUZI","Romain Rossi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-11T18:37:04Z","doi":"10.2139/ssrn.6560618","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003492146-20","name":"Conclusion","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-20","authors":["Maksym Spiryagin","Stefano Bruni","Colin Cole"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-20","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/wsc68292.2025.11338965","name":"Hierarchical Hybrid Automata: A Theoretical Basis for the Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11338965","authors":["Mamadou K. Traoré"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11338965","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2307/j.ctv2xqngmf.1","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5393469","name":"Subgraph Generation Applied to Electrical Power System Digital Twin Frameworks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5393469","authors":["Ignacio Glenny Crende","Francesca Rossi","Vinícius Albernaz","Eduardo Prieto-Araujo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-15T18:38:11Z","doi":"10.2139/ssrn.5393469","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6984918","name":"A Food Insecurity Early Warning Digital Twin for Predicting Household Transition Risk Under Economic and Climate Shocks","source":"crossref","abstract":"Households rarely fall into food insecurity through gradual decline; they are pushed across the threshold by sudden, overlapping economic and climate shocks that strip away income and raise local food prices at the same moment. Forecasting tools, however, tend to operate above the household and to track slow-moving climate change rather than these abrupt, compound disturbances, leaving the very families an early-warning system should reach largely invisible. This paper develops a theoretically grounded conceptual model of a food-insecurity early-warning digital twin that addresses this gap. The model is conceptual and non-empirical: it specifies an integrative architecture rather than an implemented or validated system, and no empirical testing is claimed. It combines household vulnerability indicators, high-frequency economic and climate shock variables and interpretable AI-enabled transition-risk assessment within a bounded, synchronized digital twin that returns actionable risk signals to non-profit and charitable decisionmakers. Its contribution is twofold: it extends bounded digital-twin logic into the domain of household food security and orients charitable response towards prevention and welltargeted action rather than after-the-fact relief.","url":"https://doi.org/10.2139/ssrn.6984918","authors":["Aggeliki D. Strati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T14:00:08Z","doi":"10.2139/ssrn.6984918","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.4337/9781035364282","name":"The Twin Digital and Green Transition","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035364282","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T20:59:16Z","doi":"10.4337/9781035364282","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/icsccc69031.2026.11600058","name":"Edge-ML Kalman Twin Optimizer: Adaptive Digital Twin Framework for Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsccc69031.2026.11600058","authors":["Surendra Kumar","Shubham Shukla","Arun Singh Yadav","Soumya Shrivastava","Mridula Dwivedi","Jaydip Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-16T21:45:43Z","doi":"10.1109/icsccc69031.2026.11600058","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4326598","name":"Simultaneous In-Situ Calibration for Physical and Virtual Sensor Fusion Towards Digital Twin-Enabled Building Operation","source":"crossref","abstract":"Virtual sensing has great potential in building operations and digitalization. This study proposes a method for the simultaneous in-situ calibration of physical and virtual sensors in building operations. The proposed calibration is intended to contribute to the virtual sensing-driven digital-twin enabled building operations, and to the synchronization of cyber and physical building systems in building digitalization. A field application study was conducted for two physical sensors and three different virtual sensors operating in a district heating substation serving real residential buildings in Korea. The case study shows (1) the operational uncertainties of virtual sensors and (2) how the different calibration accuracies for each sensor depend on the calibration approaches, such as physical-targeted (existing Case 1), virtual-targeted (existing Case 2), and simultaneous calibration (novel Case 3). Under the simultaneous errors, one sensor in Case 1 and three sensors in Case 2 did not meet the reference accuracy below a mean absolute error (MAE) of 0.50 ℃. Only Case 3 satisfied the reference accuracy for all sensors. Specifically, the average MAEs in Case 3 were improved by approximately 79.3%, 75.3%, 63.9%, and 87.5% for the target physical sensor, backup virtual sensor, virtualized sensor, and validation virtual sensor, respectively, compared to the accuracies before calibration. These results demonstrate the importance and effectiveness of simultaneous in-situ calibration of physical and virtual sensors in digital twin-enabled building operations.","url":"https://doi.org/10.2139/ssrn.4326598","authors":["Jabeom Koo","Sungmin Yoon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-17T12:09:55Z","doi":"10.2139/ssrn.4326598","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1201/9781003268048-3","name":"Dynamic Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003268048-3","authors":["Ranjan Ganguli","Sondipon Adhikari","Souvik Chakraborty","Mrittika Ganguli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-29T23:32:52Z","doi":"10.1201/9781003268048-3","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.26226/m.628e4d5240b9604ad9d7a077","name":"P3-03 A Comparative Study of White-Box Modeling Techniques for the Digital Twin of a Traction Motor","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.628e4d5240b9604ad9d7a077","authors":["Goksenin Hande Bayazit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-01T15:11:51Z","doi":"10.26226/m.628e4d5240b9604ad9d7a077","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.21203/rs.3.rs-3667938/v1","name":"Deep Reinforcement Learning solution for Scheduling critical notifications in a Digital Twin cluster","source":"crossref","abstract":"Abstract A Scheduling approach for a Critical Monitoring System in a Digital Twin (DT) cluster based on Deep Reinforcement Learning (DRL) is presented. Recent advances in the DRL field inspired us to research how to build a solution that learns to manage the cloud container’s resources directly from experience. The paper presents a multi-objective Scheduling approach for containerized microservice Critical Notification system applications based on DRL (SCN-DRL), where Neural Networks (NN) are used RL Agents. This paper implements, compares and evaluates three Neural Networks (NN) that: a) provide scheduling of the DT cluster’s notification jobs, b) outperform state-of-art heuristics, and c) keep steady performance when notification workload increases from 10 to 90%. Furthermore, resilience to resource container failures is a critical component of the distributed system; our proposed research shows that SCN-DRL is resilient to sudden resource drops by 10%.","url":"https://doi.org/10.21203/rs.3.rs-3667938/v1","authors":["Mira Vrbaski","Miodrag Bolic","Shikharesh Majumdar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-30T02:14:26Z","doi":"10.21203/rs.3.rs-3667938/v1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5194/egusphere-egu25-14209","name":"A digital twin for management of landslides and slope incidents on strategic road infrastructure","source":"crossref","abstract":"In 2023, Otis strengthened from a slight tropical storm into a major hurricane (Category 5) within only about 12 hours before it made landfall. The storm slammed into Mexico's coast with maximum sustained winds of over 165 mph and hurricane-force winds extending up to 30 miles from its center. The SICT (Secretariat of Infrastructure, Communications and Transportation) warned of a total closure of the Mexico-Acapulco highway in the Chilpancingo-Acapulco section. Faced with reports of hundreds of landslides through the lines, the SICT deployed more than 1000 workers, 100 vehicles and 300 pieces of heavy machinery in the hope of &amp;#8220;restoring traffic as soon as possible and providing safety to users.&amp;#8221; Unfortunately, predictions could not anticipate close enough the Otis destructive force.Ensuring the proper functioning of road infrastructure is a fundamental aspect in risk management. Landslides have the potential to impair critical transportation infrastructure, particularly road networks in the hilly regions in Mexico. Recognizing the extremely changing climate conditions in the Mexican Pacific coasts are becoming increasingly difficult to predict, in this research advanced technologies are integrated into an intelligent digital scenario to simulate and control this linear infrastructure before, during and after extreme rainfalls occur.The strategic roads digital twin comprises i. dynamic susceptibility maps, ii. satellite radar information of control points (the landslides pathologies are easily detected through them), iii. an artificial intelligence slope stability calculator (in near real-time) for pointing incipient instability, and iv. a semi-immersive scenario for analyzing future states based on the information of pluvial stations and control points, once this information is analyzed with the intelligent calculator. For communicate the input conditions, the aggravating factors and the future responses, a digital twin of potentially affected road sections (detected on the dynamic maps) is developed. Simulate scenarios before rainfall increases, help to make informed maintenance and risk prevention decisions in road infrastructure in areas with high geotechnical complexity and strong seasonal rainfall patterns. Exploiting precalculated extremely dangerous conditions, this digital twin can serve as an early warning system because it is programmed for immediate communication of graduated alarms that announce the proximity to dangerous states.","url":"https://doi.org/10.5194/egusphere-egu25-14209","authors":["Silvia García","Paulina Trejo","Berenice Ángeles"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T02:16:55Z","doi":"10.5194/egusphere-egu25-14209","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1115/omae2024-122381","name":"Inspection Planning Optimisation for Offshore Energy Structures Using Digital Twin","source":"crossref","abstract":"Abstract Inspection and maintenance are integral elements within the structural integrity management of offshore energy structures. This allows the identification and remediation of progressive structural degradation such as fatigue cracks, ensuring fitness-for-service of critical offshore assets throughout their service lifetime. In view of optimising the offshore retrieval/intervention and eventually reducing the life-cycle costs, risk-based inspection and maintenance planning is highly relevant. However, conducting a comprehensive risk assessment requires gaining a thorough knowledge of the as-built design and actual operational profile whereby accurately predicting its performance. Although design specifications and assumptions can serve as guidelines, a high degree of uncertainty may arise due to the disparity between the actual operational profile and the design assumptions. This paper studies the application of digital twin approach whose virtual monitoring feature coupled with fatigue load updating algorithm enables the derivation of more realistic loading spectrum. Probabilistic fracture mechanics-based model is utilised to simulate the fatigue crack growth. An optimisation of future inspections is performed with an objective to minimise the life cycle expected total cost due to fatigue failure, inspection and repair. For demonstration purpose, a case study using an offshore wind support structure is presented to illustrate this digital twin-enabled proposal. Furthermore, areas open future research in this field are discussed.","url":"https://doi.org/10.1115/omae2024-122381","authors":["Shen Li","Feargal Brennan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-09T12:33:09Z","doi":"10.1115/omae2024-122381","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6643048","name":"A Digital Twin System with Online Learning for Autonomous Greenhouse Control","source":"crossref","abstract":"Greenhouse climate control is a complex task due to nonlinear interactions between environmental variables, crop growth, and energy management. Although data-driven and model-based approaches have been explored, many studies remain limited to simulations or rely on simplified models that struggle to represent real greenhouse dynamics. This study proposes a Digital Twin (DT) framework for autonomous greenhouse climate control that integrates Internet of Things (IoT) sensing, hybrid modeling, online learning, and Deep Reinforcement Learning (DRL).A mini-greenhouse equipped with sensors and actuators was developed to establish real-time synchronization between the physical system and its virtual counterpart. The virtual environment combines the physics-based GreenLight greenhouse model with data-driven Deep Neural Network (DNN) predictions, while a Long Short-Term Memory (LSTM) model dynamically balances both components through online learning. A Proximal Policy Optimization (PPO) agent is trained within the DT to control ventilation, lighting, and heating for maintaining optimal crop conditions while reducing energy use.Experimental results using real data from the mini-greenhouse demonstrate that the proposed online learning mechanism substantially improves prediction accuracy, reducing humidity RRMSE from 21.4% to 6.46% and CO2 prediction error from 317.34% to 1.28%. The DRL-based controller achieves up to 40% higher cumulative rewards compared with common scheduled control strategies. These results highlight the potential of DT systems for enabling adaptive, data-driven, and autonomous greenhouse management in real-world agricultural environments.","url":"https://doi.org/10.2139/ssrn.6643048","authors":["Efraim  P.N. Manurung","Qingzhi Liu","Xiaohan Zhou","Önder Babur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-24T20:38:46Z","doi":"10.2139/ssrn.6643048","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.36334/modsim2025.c03.xie","name":"PipeTwin: A scalable framework for Digital Twin deployment in mineral suspension pipelines","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim2025.c03.xie","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T04:58:49Z","doi":"10.36334/modsim2025.c03.xie","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5772/intechopen.110487","name":"Study of Approaches to Predict Personality Using Digital Twin","source":"crossref","abstract":"With a growing proportion of online activities on social networking sites on different mediums like Facebook, Instagram, Twitter, LinkedIn the requirement for personality prediction associated with this online mediated behavior has also increased significantly. The user generated content on social media can be effectively leveraged to record, analyze and predict personality through different psychological approaches like MBTI, Big Five, and DISC. Predicting personality has displayed an intrinsic influence in multifarious domains like career choice, political influence, brand inclination, customized advertising, improvising learning outcomes, recommender system algorithms and so on. The objective of this paper is to stipulate an overview of different strategies used by researchers to predict personality based on the social media usage and user generated content across prominent social media platforms. It was observed that the personality traits can be accurately inferred from user behavior reflected on social media through attributes like status posted, pictures uploaded, number of friends, groups joined, network density, liked content. As of now, Facebook followed by Twitter are the most prominent social media platforms for conducting the study however, the use other social media platforms like Instagram, LinkedIn are expected to increase exponentially for carrying out personality prediction study.","url":"https://doi.org/10.5772/intechopen.110487","authors":["Vrinda Tandon","Ritika Mehra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-22T14:06:23Z","doi":"10.5772/intechopen.110487","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1108/rs-02-2026-0013","name":"Digital twin technology in railway infrastructure","source":"crossref","abstract":"Purpose This review aims to provide insights for researchers and practitioners to utilize the full potential of digital twins (DT) in railway infrastructure, furthermore, promoting the future advances of DT technology in the field. Design/methodology/approach This paper comprehensively reviews the latest progress in the application of digital twins in railway infrastructure (Digital Twin for Railway Infrastructure (DTRI)). It systematically summarizes the application scenarios and elaborates on the core components of DTRI. Findings The core components of DTRI include virtual entity models, twin data, and virtual-physical connections. Emerging developments such as artificial intelligence (AI), data fusion, the Internet of Things (IoT) and advanced algorithms have been incorporated as the key technologies. The primary application scenarios focus on monitoring and maintenance, failure prediction and prevention and life cycle management. Originality/value DT technology has emerged as an innovative framework in the railway infrastructure sector, offering unprecedented opportunities for real-time monitoring, predictive maintenance and optimization control. The paper analyzes current and future challenges alongside emerging development directions, highlighting the transformative potential of DT technology in promoting intelligent and efficient railway infrastructure operations.","url":"https://doi.org/10.1108/rs-02-2026-0013","authors":["Shubao Song","Jingyu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T09:16:28Z","doi":"10.1108/rs-02-2026-0013","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5525883","name":"Adaptive Multi-Domain Uncertainty Quantification for Digital Twin Water Forecasting","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5525883","authors":["Mohammadhossein Homaei","Mehran Tarif","P.G. Rodriguez","M.M. Avila","A. Caro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-20T14:17:51Z","doi":"10.2139/ssrn.5525883","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/s38312-019-0012-0","name":"Digital Twin Technology for More Efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s38312-019-0012-0","authors":["Urban August"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-03-28T08:13:08Z","doi":"10.1007/s38312-019-0012-0","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.25236/ijfet.2023.050704","name":"Research on Issues Related to Digital Twin Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ijfet.2023.050704","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-04T02:23:37Z","doi":"10.25236/ijfet.2023.050704","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.7055318","name":"Hybrid Explainable AI Framework for Cyber Resilient Decision Support and Infrastructure Risk Prioritization Using Digital Twin Intelligence","source":"crossref","abstract":"The increasing digitalization of critical infrastructure has significantly expanded exposure to cyber threats capable of disrupting essential services and degrading engineering asset performance. Existing cybersecurity assessment approaches frequently evaluate cyber risk independently from operational asset conditions, resulting in fragmented decision-making and inefficient resource allocation. This study proposes a Hybrid Explainable AI Framework that integrates cyber risk analytics, Digital Twin intelligence, infrastructure condition monitoring, explainable artificial intelligence, and multi-criteria decision analysis to prioritize operational risks across interconnected infrastructure assets. The framework employs machine learning models to estimate cyber-induced operational risk, while synchronized Digital Twin information maintains an updated representation of infrastructure conditions throughout the decision process. A concept-based explainability module identifies the primary factors influencing infrastructure vulnerability and maintenance priorities through engineering-readable interpretations of predicted risk. A multi-criteria decision analysis model ranks maintenance actions according to cyber risk, operational criticality, maintenance urgency, and intervention cost. The proposed framework connects risk estimation, explanation, and maintenance prioritization within a unified decision-support architecture, providing a structured foundation for cyber-resilient infrastructure governance and future validation using operational infrastructure datasets.","url":"https://doi.org/10.2139/ssrn.7055318","authors":["Md Rafat Hossain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T14:07:35Z","doi":"10.2139/ssrn.7055318","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.7269983","name":"From Digital Twin Readiness to Realized Operational Value in Egyptian Logistics Firms: A Three-wave Synthetic Panel Validation","source":"crossref","abstract":"This study validates a longitudinal readiness-to-value model for digital twins using a reproducible synthetic panel of 320 logistics-firm cases. Baseline benefit expectancy, workforce skill, managerial support, investment certainty, and data governance explained 40.0% of digital-twin readiness. Readiness strongly predicted implementation at Wave 2 (β=0.58), implementation predicted visibility (β=0.52), visibility predicted decision quality (β=0.43), and decision quality predicted operational value at Wave 3 (β=0.43). The sequential standardized indirect effect from readiness through implementation, visibility, and decision quality to value was 0.056. The benchmark demonstrates that the proposed temporal model is estimable and recovers the expected pathway. It does not establish digital-twin performance in actual Egyptian firms.","url":"https://doi.org/10.2139/ssrn.7269983","authors":["Waleed Yousef"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-15T08:13:23Z","doi":"10.2139/ssrn.7269983","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6766021","name":"Digital-twin-based four-dimensional electrical impedance tomography for bubble flow imaging","source":"crossref","abstract":"Four-dimensional electrical impedance tomography (4D-EIT) offers a non-intrusive sensing approach for industrial process monitoring, particularly for visualizing dynamic multiphase flow behaviors in complex reactors. However, its practical deployment is often constrained by limited spatial resolution and insufficient quantitative accuracy caused by the ill-posed nature of the inverse problem. To address these challenges, this study proposes a digital-twin-driven 4D-EIT framework that integrates a fully coupled fluid-electric simulation model with a lightweight deep learning reconstruction strategy. An Intelligent Bubbling Flow Measurement Model is developed to construct a high-fidelity virtual bubble column and corresponding EIT measurement system, generating a large-scale 4D synthetic dataset of 40,404 samples. A Lite-UNet network is trained to reconstruct three-dimensional bubble distributions directly from boundary voltage measurements. Virtual experimental results show that the proposed method achieves a CC of 0.7647-0.9343, an RMSE of 0.1317-0.1937 and a PSNR of 14.3827-19.6898 dB, significantly outperforming Tikhonov regularization. Physical experiments further validate accurate reconstruction of spatial structures and consistent gas void fraction trends with camera-based measurements. These results demonstrate improved quantitative accuracy, robustness, and dynamic imaging capability, providing an effective artificial intelligence-enabled solution for industrial multiphase flow monitoring.","url":"https://doi.org/10.2139/ssrn.6766021","authors":["Junzhe Qiu","Shengnan Wang","Yunjie Yang","Ming Kong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-14T17:41:13Z","doi":"10.2139/ssrn.6766021","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.20998/2522-9052.2023.2.11","name":"DIGITAL TWIN VALUE IN INTELLIGENT BUILDING DEVELOPMENT","source":"crossref","abstract":"The aim of the research. This article discusses the use of the Digital Twin in automation and its impact on the resulting solution. The research aims to illuminate the Digital Twin concept explanation and systematise the knowledge base and fulfill information gaps. Research results. The paper overviews the history of the concept and determines the main phases of Digital Twin development. The significant attention was paid to the classification issue to show the huge variation depending on Digital Twin‘s purpose, lifecycle phase, the scale of the physical twins and data amount in order to explain the twin‘s relation and the hierarchy of complex system. The defined capabilities and values of the concept identify the possible use cases and explain the potential benefits of Digital Twin implementation. Also, this paper takes a look at the use of Digital Twin in the area of building automation. This concept potentially may act as the integration platform for building management systems (BMS) and building information modelling (BIM) technologies with IoT solutions. The discussion of Digital Twin implementation for the building automation complex is presented. We conclude that the Digital Twin can integrate human factor to the control system by using the indexes of climate satisfaction, the feedback functionality and human-machine interfaces. As a result, the improvement of system efficiency depends on the coordination and orchestration of equipment operating mode. Conclusion. The Digital Twin has a high potential for energy efficiency improvements, as it considers many factors, integrates a huge amount of data and continuously improves themselves with real-world data.","url":"https://doi.org/10.20998/2522-9052.2023.2.11","authors":["Anastasiya Zakharchenko","Oleksandr Stepanets"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-14T12:35:20Z","doi":"10.20998/2522-9052.2023.2.11","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5194/iag-comm4-2022-38","name":"Digital Twin Analysis for Multipath Characterization of Robot-Based GNSS Code Phase Variation Calibration Sites","source":"crossref","abstract":"&amp;lt;p&amp;gt;Satellite navigation has been an important driving force of many modern technological advancements. From surveying to positioning applications, the Global Navigation Satellite System (GNSS) remains a key enabler. The obtainable quality of GNSS measurements is defined by the positioning error budget. While strong improvements can be achieved for instance, in the satellite or propagation error estimation (through use of dual frequency measurements or through use of augmentation systems), the errors generated at or close to the antenna are more difficult to estimate and counteract. Being the first element in the GNSS receiving chain, antennas significantly influence the quality of received signals.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;While considerable work has been done in the last years to precisely estimate carrier phase related antenna errors, also called phase center variation (PCV) errors; the effect of the antenna on the code measurement (i.e. the analysis of code phase variations- CPV) has received less attention.However, CPV effects becomes very relevant in specific applications, like avionics or time/frequency transfer. Precise CPV determination and subsequent compensation of its related errors could be guaranteed through accurate antenna calibration. As such, good calibration methods should be further investigated and possibly standardized.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;Currently, CPV estimation, similarly to PCV, can performed either in an anechoic chamber or through field observations using a robot. However, it has been observed that CPV estimated using each of these approaches tend to show mismatches. These discrepancies are thought to be related to sources such as high multipath-induced code noise and impact of receiver settings in the robot calibration method. Consequently, characterization of CPV remains a challenging task largely due to a general incomplete understanding of the complex multipath-antenna- receiver interactions. In terms of accuracy and repeatability, the levels needed in a standardized calibration procedure of CPV has not yet been met.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;In this work, as a first step towards higher precision and repeatable CPV calibration, focus is placed on undertaking deeper investigation into multipath-antenna interactions and examining the contribution of multipath-induced error to the overall code-noise budget. To do this, the multipath conditions in a robot calibration site is studied using a multipath probe. This probe is an in-house developed antenna with reconfigurable electromagnetic properties and has the ability to mimic the responses of different GNSS antennas to multipath. These responses are quantified using the so-called multipath suppression capabilities indicators (MPSI) discussed by authors in previous works. This allows for substitutive characterization which is based on a proven premise that different antennas having similar MPSI (for a given spatial direction) exhibit comparable multipath suppression, i.e. receive the same amount of multipath when placed in the same scenario. Furthermore, we shall discuss the potential of using a hybrid (digital twin) simulative approach for multipath characterization. Here, anechoic chamber measurements of a given antenna are integrated in electromagnetic simulations of its anticipated surrounding physical environment. With this technique, it is possible to accurately predict and analyze sources of multipath conditions that such antenna will experience in situ. A fusion of the multipath probe&amp;amp;#8217;s MPSI reconfigurability and the hybrid simulative method presents a flexible but powerful tool to better understand, from the antenna viewpoint, the amount of multipath conditions on robot calibration measurements. We shall demonstrate the efficacy of this characterization technique by comparing simulated installed performance with experimental field measurements.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/iag-comm4-2022-38","authors":["Ernest Ofosu Addo","Stefano Caizzone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-24T07:38:26Z","doi":"10.5194/iag-comm4-2022-38","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.26434/chemrxiv.15003548/v1","name":"Time-Resolved Regression Digital Twin for Continuous Inference of Encoded Mechanical Heterogeneity in Architected Materials","source":"crossref","abstract":"Architected materials achieve programmable mechanical behavior through spatially encoded compositional heterogeneity, yet inferring encoded stiffness fractions from structural appearance alone remains unreliable when mechanically distinct configurations are visually indistinguishable prior to loading. Here we show that deformation sequences acquired during tensile loading constitute a physically meaningful information channel for continuous design-space inference, and introduce a design-space digital twin, a single learned model spanning a continuous material design space. A spatiotemporal framework integrating convolutional feature extraction, long short-term memory temporal learning, and regression-constrained representation is trained on six discrete stiffness fractions (G0–G50) at strains up to 60%. An intermediate condition (G25), withheld entirely from training, is predicted with a mean value of 25.3 and a mean absolute error of 1.47, more than three times lower than the minimum error achievable by discrete classification, confirming genuine interpolation within a continuous and navigable design space. Systematic variation of sequence starting frames reveals a deformation-dependent learnability regime, wherein mechanically informative morphology emerges progressively during loading and an optimal onset balances morphological contrast against temporal evolution. These findings reframe digital twinning for architected materials as a design-space inference problem, establishing deformation evolution as the information channel and regression-constrained temporal learning as the enabling strategy.","url":"https://doi.org/10.26434/chemrxiv.15003548/v1","authors":["Moonsung Park","Tengxiao Liu","Hongtao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-19T12:55:15Z","doi":"10.26434/chemrxiv.15003548/v1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6598962","name":"Multi-Layer Digital Twin Platform with Progressive Analytics Services for Indoor Environmental Quality Management","source":"crossref","abstract":"Digital Twin adoption in building management faces significant barriers as deployment complexity and integration challenges impede progression from basic monitoring toward prescriptive decision support. This paper presents a containerized Digital Twin platform implementing four progressive analytics layers (descriptive, diagnostic, predictive, and prescriptive) as independently deployable container services. The modular architecture encapsulates each analytics layer within dedicated containers supporting data ingestion, web-based visualization, time-series database operations, machine learning inference, and large language model services. This architecture is deployed in a real campus environment for Indoor Environmental Quality (IEQ) management and validated under on-premises deployment conditions. Performance evaluation reveals that computational demands increase progressively with analytics complexity on a local server, with CPU utilization ranging from 3.7% (descriptive) to 51% (prescriptive), and memory consumption scaling from 10% to 40% and energy consumption from 17W to 55W. This study contributes a containerized platform architecture that modularizes the four-layer Digital Twin analytics framework for IEQ management, providing empirical evaluation of computational and energy requirements across analytics layers and demonstrating a scalable implementation strategy for building operation applications.","url":"https://doi.org/10.2139/ssrn.6598962","authors":["Zihao Zheng","Borja García de Soto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-18T02:36:57Z","doi":"10.2139/ssrn.6598962","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.70675/61765d5cza7cfz4af0zb361zd21479078039","name":"Digital twin-based decision support system for the prospective and the retrospective analysis of an operating room under uncertainties","source":"crossref","abstract":"Outil d’aide à la décision à base de jumeau numérique pour l’analyse prospective et rétrospective d’un programme de bloc opératoire soumis à des incertitudes Avec l'augmentation de la demande de soins dans le monde, les services hospitaliers sont de plus en plus sollicités. Leur performance est étroitement liée à la performance de leur bloc opératoire. En effet, le bloc opératoire est un important centre de revenus et de dépenses puisqu'il représente 40% du budget de l'hôpital (Macario et al. 1997), et que 60% des patients viennent à l'hôpital pour une intervention chirurgicale (Fugener et al. 2017). Il est donc nécessaire que les blocs opératoires soient efficients. Cependant, cela est rendu difficile par la complexité de leur organisation due à la diversité des parcours patients, la multiplicité des métiers, les liens étroits avec les services amont et aval, la synchronisation de plusieurs ressources et flux logistiques (personnels, médicaments et dispositifs médicaux), etc. D'autre part, la variabilité des durées et les perturbations inhérentes à la pratique médicale, comme les cas d'urgence, sont les principaux facteurs et événements qui dégradent le programme opératoire et impliquent que le personnel prenne de fréquentes décisions pour maintenir l'activité du bloc opératoire de manière optimale. Par conséquent, les activités de planification et d'ordonnancement du bloc opératoire intéressent de plus en plus la communauté scientifique. Dans cette thèse de doctorat, nous nous concentrons sur les niveaux opérationnels hors ligne et en ligne (Hans et Vanberkel 2012). Ceci nous amène aux questions de recherche suivantes : (1) Comment évaluer la robustesse et la résilience du programme opératoire avant son exécution (dimension prospective) ? (2) Comment rejouer le programme opératoire pour avoir un retour d'expérience et évaluer les décisions prises lors de son exécution (dimension rétrospective) ? La contribution de ce manuscrit est triple : (1) Nous proposons un système d'aide à la décision basé sur un jumeau numérique pour la simulation et l'analyse prospectives et rétrospectives de l'exécution du programme opératoire. (2) Nous décrivons une méthodologie standardisée pour concevoir, construire et mettre en œuvre cet outil dans n'importe quel bloc opératoire. (3) Cette méthodologie est appliquée à un bloc opératoire inspiré de l'Hôpital Privé de La Baie (groupe Vivalto Santé), afin de disposer d'une preuve de concept permettant de simuler un programme opératoire de façon prospective et rétrospective.","url":"https://doi.org/10.70675/61765d5cza7cfz4af0zb361zd21479078039","authors":["Léah Rifi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T12:01:02Z","doi":"10.70675/61765d5cza7cfz4af0zb361zd21479078039","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1515/9780691223407-fm","name":"Frontmatter","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9780691223407-fm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-16T10:22:30Z","doi":"10.1515/9780691223407-fm","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/978-3-030-02203-7_8","name":"Behaviours Indicators of Machine Tools","source":"crossref","abstract":"Abstract Knowledge of machine tool behaviour is a key element to improve production, quality and availability as behaviour indicators represent or give an idea of the real state of the machine. Indeed, real conditions can be used to update simulation models’ parameters, detect or anticipate quality fault on workpiece, and to estimate damage state of machine components such as axis and spindle. Behaviour indicators extraction is based on the analysis of specific and known moves or actions of the machine tools. Two kinds of approaches to build these indicators are discussed in this chapter.","url":"https://doi.org/10.1007/978-3-030-02203-7_8","authors":["Flavien Peysson","David Leon","Quentin Lafuste","Mikel Armendia","Unai Mutilba","Enrique Guruceta","Gorka Kortaberria"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_8","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4861086","name":"Fingerprint-Assisted Uwb-Based Indoor Positioning System with Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4861086","authors":["Ping Lou","Haojie Ma","Yuhang Zeng","Chuannian Fan","Jianmin Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T08:28:07Z","doi":"10.2139/ssrn.4861086","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2139/ssrn.6631863","name":"OPTIMIZATION OF CHP PLANT OPERATING MODES USING AN UPDATED DIGITAL TWIN AND LINEAR PROGRAMMING","source":"crossref","abstract":"Combined heat and power (CHP) plants simultaneously supply electricity and heat, and their fuel efficiency depends not only on total electrical and thermal loads but also on how the heat load is distributed among the operating units. This paper addresses a local operating-mode optimization problem for a multi-unit CHP plant. The decision variables are the district-heating-water flow rates through the horizontal network heater (HNH) groups of the operating units, and the objective is to minimize total plant fuel consumption at fixed electrical load and unchanged total heat supply. The proposed workflow is based on an updated digital twin of the plant and includes construction of local feasible operating regions, local linear approximation of fuel-consumption characteristics and constraints, solution of a linear programming problem, and mandatory verification of the obtained solution in the original nonlinear plant model. The approach was tested for two steady operating conditions of a CHP plant with two district-heating units in operation. In the daytime condition, fuel consumption decreased by 6.36 thousand Nm³/h (9.76%), whereas in the nighttime condition the reduction was 1.85 thousand Nm³/h (4.19%). The results show that redistribution of district-heating-water flow rates can reduce total plant fuel consumption by improving internal heat-load allocation between the units. The conclusions are limited to the investigated operating conditions of one CHP plant and require further validation for other operating ranges and plant configurations.","url":"https://doi.org/10.2139/ssrn.6631863","authors":["Igor Repin","Irina Anikina","Andrey Guryanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T01:38:03Z","doi":"10.2139/ssrn.6631863","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1002/aff2.153/v1/review1","name":"Review for \"Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/aff2.153/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-22T16:15:17Z","doi":"10.1002/aff2.153/v1/review1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.3389/fdgth.2023.1246659","name":"Virtual twin for healthcare management","source":"crossref","abstract":"Healthcare is increasingly fragmented, resulting in escalating costs, patient dissatisfaction, and sometimes adverse clinical outcomes. Strategies to decrease healthcare fragmentation are therefore attractive from payer and patient perspectives. In this commentary, a patient-centered smart phone application called Virtual Twin for Healthcare Management (VTHM) is proposed, including its organizational layout, basic functionality, and potential clinical applications. The platform features a virtual twin hub that displays the body and its health data. This is a physiologically based human model that is “virtualized” for the patient based on their unique genetic, molecular, physiological, and disease characteristics. The spokes of the system are a full service and interoperable electronic-health record, accessible to healthcare providers with permission on any device with internet access. Theoretical case studies based on real scenarios are presented to show how VTHM could potentially improve patient care and clinical efficiency. Challenges that must be overcome to turn VTHM into reality are also briefly outlined. Notably, the VTHM platform is designed to operationalize current and future precision medicine initiatives, such as access to molecular diagnostic results, pharmacogenomics-guided prescribing, and model-informed precision dosing.","url":"https://doi.org/10.3389/fdgth.2023.1246659","authors":["Thomas M. Polasek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-18T05:36:35Z","doi":"10.3389/fdgth.2023.1246659","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.14742/apubs.2023.635","name":"Unveiling the potential of Digital Twin technology for Higher Education","source":"crossref","abstract":"The concept of the Digital Twin (DT), a digital replica of a physical object or process, is relatively new to the higher education context. The increase in the application of DT technology across many industries has prompted the call for greater exploration of the possibilities for DTs in education along with a consideration of the challenges to their implementation. There are also questions being raised about the opportunity to develop DTs of learners to extend the use of data to inform learning and teaching, which has been boosted by the recent rise of learning analytics and educational data mining. In this paper we will explore what DT technology is and offer a new definition of DTs that can be used in the educational context. Current uses and the potential future applications will be explored, as well as consideration of what is necessary to build DTs of learners (and educators). The use of DT technology also poses many challenges due to the complexity of DT design and application, and these will be outlined. The paper concludes with a discussion of future directions and areas where more research is needed to fully explore the potential of DT for higher education.","url":"https://doi.org/10.14742/apubs.2023.635","authors":["Kranthi Addanki","Linda Corrin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-27T23:17:29Z","doi":"10.14742/apubs.2023.635","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.55248/gengpi.6.0925.3583","name":"AI-Powered Predictive Control in Digital Twin HVAC Systems","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.6.0925.3583","authors":["Elizabeth A. Adeola","Adeyinka G. Ologun","Victoria M. Jegede","Olabisi D","Salau Salau","Kemi K. Oladapo","Bolanle B Olatunji","Rukayat Abisola Olawale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-14T04:04:33Z","doi":"10.55248/gengpi.6.0925.3583","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5171/2025.4623425","name":"Digital Twin of An Airport Security X-Ray Imaging System","source":"crossref","abstract":"This publication presents the development and validation of a digital twin for an airport security X-ray imaging system. The core three-dimensional models of baggage and prohibited items were meticulously created using Blender 3D. These models were then integrated into the Unity 3D game engine, which served as the platform for generating the synthetic X-ray visuals. A critical component of this work was the creation of a custom shader script written in the High-Level Shading Language (HLSL) to accurately simulate the physics-based principles of X-ray absorption and material discrimination. This shader replicates the characteristic color-coding of organic and inorganic materials found in real security scanners. The output from this digital twin was qualitatively compared against real-world images obtained from a Krystal Vision X-Ray Baggage Scanner. The results demonstrate a significant visual similarity between the synthesized and real X-ray images, confirming the feasibility of using this approach for generating large-scale, annotated datasets. This digital twin provides a valuable tool for the advanced training of security personnel and the development of automated threat detection algorithms without the logistical constraints of physical scanner access.","url":"https://doi.org/10.5171/2025.4623425","authors":["Aleksander DAWID"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T07:53:57Z","doi":"10.5171/2025.4623425","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6209481","name":"AI-Enabled Digital Twin Ecosystems for Intelligent Asset Management: Integrating BIM, GIS, IoT, and Adaptive Wireless Communication","source":"crossref","abstract":"Digital Twins (DTs) are virtual representations of physical assets, continuously updated with real-time and historical data to monitor, simulate, and optimize performance. Existing DT frameworks often emphasize data integration and analytics while treating sensing and communication as passive infrastructure, limiting scalability, timeliness, and reliability in dynamic construction environments. This paper presents an AI-enabled Digital Twin framework that integrates Building Information Modeling (BIM), Geographic Information Systems (GIS), Internet of Things (IoT), and adaptive wireless communication within a Common Data Environment (CDE). Wireless communication and antenna systems act as intelligent, reconfigurable enablers, ensuring low-latency, high-fidelity data acquisition and closed-loop analytics. An AI-in-the-loop paradigm links sensing, data integration, and adaptive communication, enabling predictive maintenance, operational optimization, and scenario-based decision-making. Applied to construction-phase assets, infrastructure networks, and smart buildings, the framework enhances real-time monitoring, operational efficiency, and resilience, demonstrating how communication as an active component supports scalable, predictive, and automated construction asset management.","url":"https://doi.org/10.2139/ssrn.6209481","authors":["OSAMA  W. ATA"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-10T07:37:01Z","doi":"10.2139/ssrn.6209481","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.18260/1-2--47192","name":"Digital Twin for Additive Manufacturing and Smart Manufacturing Education","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2--47192","authors":["Huachao Mao","Yujie Shan","Hamid EisaZadeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-04T13:31:12Z","doi":"10.18260/1-2--47192","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.3390/en14144235","name":"Digital Twin Concepts with Uncertainty for Nuclear Power Applications","source":"crossref","abstract":"Digital Twins (DTs) are receiving considerable attention from multiple disciplines. Much of the literature at this time is dedicated to the conceptualization of digital twins, and associated enabling technologies and challenges. In this paper, we consider these propositions for the specific application of nuclear power. Our review finds that the current DT concepts are amenable to nuclear power systems, but benefit from some modifications and enhancements. Further, some areas of the existing modeling and simulation infrastructure around nuclear power systems are adaptable to DT development, while more recent efforts in advanced modeling and simulation are less suitable at this time. For nuclear power applications, DT development should rely first on mechanistic model-based methods to leverage the extensive experience and understanding of these systems. Model-free techniques can then be adopted to selectively, and correctively, augment limitations in the model-based approaches. Challenges to the realization of a DT are also discussed, with some being unique to nuclear engineering, however most are broader. A challenging aspect we discuss in detail for DTs is the incorporation of uncertainty quantification (UQ). Forward UQ enables the propagation of uncertainty from the digital representations to predict behavior of the physical asset. Similarly, inverse UQ allows for the incorporation of data from new measurements obtained from the physical asset back into the DT. Optimization under uncertainty facilitates decision support through the formal methods of optimal experimental design and design optimization that maximize information gain, or performance, of the physical asset in an uncertain environment.","url":"https://doi.org/10.3390/en14144235","authors":["Brendan Kochunas","Xun Huan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-14T02:28:01Z","doi":"10.3390/en14144235","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1038/s41598-025-23943-7","name":"Urban traffic digital twin system development in unity","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s41598-025-23943-7","authors":["Li Gong","Menglong Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T21:03:25Z","doi":"10.1038/s41598-025-23943-7","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4072612","name":"A Digital Twin Model for an Educational Turbocharger Demonstrator","source":"crossref","abstract":"The contemporary concept of digital twin has a vast technical scope, making it one of the most relevant components of cyber- physical production systems. In practice, creating a digital twin can happen at different points in the lifecycle of an automated system. Besides, the digital twin can have multiple final uses, including simulation, forecasting, fault detection, and fault recognition. Probably, one of the most labor-intensive activities on creating a functional digital twin is to accurately deploy a sampling system to collect operational data from the process that can contribute effectively to its final use. Such activity demands experimentation, engineering work, and continuous improvement.&lt;br&gt;&lt;br&gt;This paper presents the analysis and synthesis of principles required to create a fault detection and classification digital twin application through machine learning techniques. The principles are demonstrated in a compact educational turbocharger prototype, built by the University College Dublin, and deployed at the Aalto Factory of the Future (AFoF) learning factory. The turbocharger demonstrator carries a data acquisition and storage system, with adaptable environmental and process sensors interconnected to a wireless Industrial Internet of Things platform. The software architecture and deployment workflow that facilitated the experimentation on creating the digital twin in the AFoF learning factory is presented, with comparison of different classifiers as the main contribution of this work. On preliminary tests, the system detected and classified three possible faults caused by controlled muffler obstruction conditions.&lt;br&gt;&lt;br&gt;From another perspective, the demonstrator system aims to be an affordable alternative with potential to become a platform for teaching and education to technology students, e.g., on the digital twin and Industrial Internet of Things concepts. Both the physical turbocharger and its digital twin, including the predictive fault detection model associated with it, are developed for educational use at the AFoF learning factory.","url":"https://doi.org/10.2139/ssrn.4072612","authors":["Udayanto Dwi Atmojo","Gadidjah Ögmundsdóttir","Ronal Bejarano","Denis Dowling","Valeriy Vyatkin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-01T23:07:04Z","doi":"10.2139/ssrn.4072612","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/978-3-658-44453-2_1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-658-44453-2_1","authors":["Florian Blaschke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-10T09:01:46Z","doi":"10.1007/978-3-658-44453-2_1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.36227/techrxiv.19681473","name":"Digital Twin Framework For Time To Failure Forecasting Of Wind Turbine Gearbox: A Concept","source":"crossref","abstract":"Wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine is of critical importance. Unexpected failure of wind turbine components can lead to increased O&amp;M costs which ultimately reduces effective power capture of a wind farm. Fault detection in wind turbines is often supplemented with SCADA data available from wind farm operators in the form of time-series format with a 10-minute sample interval. Moreover, time-series analysis and data representation has become a powerful tool to get a deeper understating of the dynamic processes in complex machinery like wind turbine. Wind turbine SCADA data is usually available in form of a multivariate time-series with variables like gearbox oil temperature, gearbox bearing temperature, nacelle temperature, rotor speed and active power produced. In this preprint, we discuss the concept of a digital twin for time to failure forecasting of the wind turbine gearbox where a predictive module continuously gets updated with real-time SCADA data and generates meaningful insights for the wind farm operator.","url":"https://doi.org/10.36227/techrxiv.19681473","authors":["Mili Wadhwani","Sakshi Deshmukh","Harsh S. Dhiman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-02T20:40:29Z","doi":"10.36227/techrxiv.19681473","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1101/2025.02.21.639518","name":"Donor-Specific Digital Twin for Living Donor Liver Transplant Recovery","source":"crossref","abstract":"Abstract Liver resection initiates a meticulously coordinated hyperplasia process characterized by regulated cell proliferation that drives liver regeneration. This process concludes with the complete restoration of liver mass, showcasing the precision and robustness of this homeostasis. The remarkable capacity of the liver to regenerate rapidly into a fully functional organ has been crucial to the success of living donor liver transplantation (LDLT). In healthy livers, hepatocytes typically remain in a quiescent state (G0). However, following partial hepatectomy, these cells transition to the G1 phase to re-enter the cell cycle. Surgical resection induces various stresses, including physical injury, altered blood flow, and increased metabolic demands. These all trigger the activation and suppression of numerous genes involved in tissue repair, regeneration, and functional recovery. Both coding and noncoding RNAs detectable in the bloodstream during this process provide valuable insights into the gene responses driving liver recovery. This study integrates clinical gene expression data into a previously developed mathematical model of liver regeneration, which tracks transitions among quiescent, primed, and proliferating hepatocytes to construct virtual, patient-specific liver models. Using whole transcriptome RNA sequencing data from 12 healthy LDLT donors, collected at 14 time points over a year, we identified liver resection-specific gene expression patterns through Weighted Gene Co-expression Network Analysis (WGCNA). These patterns were organized into distinct clusters with unique transcriptional dynamics and mapped to model variables using deep learning techniques. Consequently, we developed a Personalized Progressive Mechanistic Digital Twin (PePMDT) for the livers of LDLT donors. The resulting PePMDT predicts individual patient recovery trajectories by leveraging blood-derived gene expression data to simulate regenerative responses. By transforming gene expression profiles into dynamic model variables, this approach bridges clinical data and mathematical modeling, providing a robust platform for personalized medicine. This study highlights the transformative potential of data-driven frameworks like PePMDT in advancing precision medicine and optimizing recovery outcomes for LDLT donors.","url":"https://doi.org/10.1101/2025.02.21.639518","authors":["Suvankar Halder","Michael C. Lawrence","Giuliano Testa","Vipul Periwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-27T22:30:58Z","doi":"10.1101/2025.02.21.639518","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5194/egusphere-egu24-15422","name":"A prototype of catchment-scale digital twin systems (cDTS) for debris-flow early warning&amp;#160;","source":"crossref","abstract":"Debris flows as fast-moving and water-saturated sediment masses are particularly hazardous in alpine areas due to their high destructive power and poor predictability. We still do not fully know under what conditions debris flows occur and how to predict them. The most common method for predicting debris flow in warning systems and hazard assessment uses precipitation intensity and duration thresholds. However, these do not provide accurate and quantitative predictions of debris flow occurrence and are subject to high uncertainty due to limited data. Thanks to recent developments in novel monitoring technologies that have led to an unprecedented data explosion, it is now time to address these knowledge gaps innovatively and interdisciplinaryly. To this end, we develop a scalable and transferable catchment Digital Twin System (cDTS) that combines the latest knowledge from geomorphology, remote sensing, and hydrology to derive probabilistic rainfall intensity-duration (ID) thresholds from limited observations. The cDTS is a physics-informed genetic machine learning framework based on partially known physics, sparse and noisy data, and nonlinear dynamical networks. We test this framework on a small catchment in the Italian Dolomites to determine probabilistic thresholds for the occurrence of debris flows. The new rainfall thresholds are a negative exponential function controlled by infiltration capacity instead of a power law relationship. The cDTS is a lighthouse case for applications of the digital twin in geoscience, helping improve early warning system performance by providing timely, evidence-based information to the public and policymakers.","url":"https://doi.org/10.5194/egusphere-egu24-15422","authors":["Hui Tang","Oliver Francis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-09T02:09:04Z","doi":"10.5194/egusphere-egu24-15422","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.3390/electronics15122726","name":"AI-Assisted Circuit Digital Twin Reproducing Ultrasound Waves in Human Tissues","source":"crossref","abstract":"The paper proposes a Digital Twin (DTw) framework, constructing a circuit model replicating the pulse transmission and reception processes for devices with high sensitivity to noises, such as wearable ultrasound transducers. The model is suitable to train supervised AI algorithms denoising the noisy ultrasound signal received. The DTw combines the circuit simulations with the AI data processing by training the model with the cleaned pulsed signals and by correcting the noises modeled by ‘white-noise’ voltage generators. Specifically, the voltage outputs of the circuit simulations are used to train the AI models and to test noisy signals for reconstruction. The DTw model is based on the transmission line theory combined with the perturbation impedance approach, supporting human body tissue discrimination based on noises. Two open-source tools are used for the DTw construction, the LTSpice and the Orange Mining tool, which are used for the circuit simulation and for the AI data processing, respectively. The theoretical work proves that the methodology is able to reconstruct correctly, with a good performance in the time domain and the frequency domain, noisy voltage signals, by addressing the analysis on cancer detection by combining circuit, AI and Monte Carlo approaches.","url":"https://doi.org/10.3390/electronics15122726","authors":["Alessandro Massaro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-23T18:35:05Z","doi":"10.3390/electronics15122726","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5244067","name":"Framework for a Digital Twin System in Corrosion Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5244067","authors":["Marcel Gollé-Leidreiter","Pascal Reinhold","Konstantin Kapfer","Andreas Mittelbach","Julia Kowalski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-07T01:44:18Z","doi":"10.2139/ssrn.5244067","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.52152/d11515","name":"DISASSEMBLING A DIGITAL DEVICE: A PROTOTYPE AND ITS DIGITAL TWIN","source":"crossref","abstract":"This paper presents the design, development, and evaluation of a cyber-physical disassembly station for electronic components, consisting of a physical prototype and its digital twin (DT). The physical station was developed in an academic context using modular construction and industrial automation tools. In parallel, a DT was built in Ciros, enabling simulation, sensor testing, and validation of control logic without physical hardware. Comparative tests were conducted to evaluate system performance under different workpiece configurations. Results show that the DT can replicate real behaviour with high accuracy and can also incorporate virtual sensors to optimize cycle times. The study demonstrates how DTs can reduce testing time, identify inefficiencies, and support scalable solutions in disassembly processes for sustainable manufacturing. Keywords: Cyber-Physical Systems, Digital Twin, Disassembling stations, Smart Manufacturing","url":"https://doi.org/10.52152/d11515","authors":["Jon Muñoz Milikua","NIKOLAS Schaffer","HUGO LANDALUCE SIMON","IGNACIO FIDALGO"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-01T07:51:22Z","doi":"10.52152/d11515","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/iceccs70432.2026.11651329","name":"Twin-BT: An LLM-Based Behavior Tree Framework Integrating Digital Twin and Deterministic Semantic Verification for Robotics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceccs70432.2026.11651329","authors":["Yuanxin Zheng","Manlu Liu","Lingfeng Hou","Liping Guiv","Rui Long"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-19T19:10:30Z","doi":"10.1109/iceccs70432.2026.11651329","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.12783/dtcse/cscme2019/32542","name":"Digital Twin for Everything: Some Pilot Studies","source":"crossref","abstract":"","url":"https://doi.org/10.12783/dtcse/cscme2019/32542","authors":["De-hua \\JU"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-11-25T15:06:29Z","doi":"10.12783/dtcse/cscme2019/32542","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5133633","name":"Digital Twin-Driven Intelligent Spinning Technique for Curved Surface Parts","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5133633","authors":["Pengfei Gao","Xinshun Li","Xinggang Yan","Hongwei Li","Mei Zhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-11T22:38:01Z","doi":"10.2139/ssrn.5133633","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.4043/31863-ms","name":"Predictive Digital Twin for Performance and Integrity","source":"crossref","abstract":"Abstract The concept of the digital twin can be thought of as a virtual representation of a physical product, engineering system or facility. This paper presents the role of predictive engineering analytics, alongside operating data, in the digital twin. Using case studies, the authors demonstrate how predictive approaches can be developed to provide data where it cannot be measured and predict future operating data to improve performance, life and integrity of equipment, systems and facilities. The digital twin is fundamentally based on data, larger datasets provide greater insight. Sensor and inspection data are critical. However, there are scenarios in which engineers require data where it cannot be measured or requires data that cannot be measured. Engineers require ways to extract this data, this can be done through predictive engineering analytics. Predictive engineering analytics, in the form of science-based simulations, combines multiple approaches, often based on fundamental principles of physics and engineering. This paper will demonstrate how high-fidelity approaches, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), combined with system-level simulation and reduced-order modelling can work together with field data to provide this data in real-time. Two case studies presented show how combinations of different levels of science-based modelling approaches can help. A subsea thermal digital twin demonstrates how high-fidelity simulations, undertaken during system design, can be the foundation for reduced order system models capable of capturing critical thermal performance in real time; aiding hydrate risk management during operation. The methods used to train the real-time predictive approach are demonstrated. The second case presented focuses on structural integrity of a heat exchanger showing how real-time sensor data can be translated into structural integrity data and insight through simulation. The cases presented demonstrate the value of science-based predictions to generate data that cannot be obtained from operational sensor data alone. The authors aim to show how the predictive element of the digital twin can be first generated during design and evolved into real-time predictive approaches that provide operations with data that cannot be gained from sensors; when and where it is needed. Digital twins typically use physical data, limiting operators of in-field equipment to make operational decisions based on information from sensor locations and historical data alone. This can limit assessment of operational performance and integrity of complex production and process systems. In this paper the authors aim to show how, by combining predictive approaches, at differing levels of fidelity and based on fundamental scientific principles, it is possible to generate the missing data required, in both space and time. This can inform and guide operations; filling the gaps where and when physical data is not available.","url":"https://doi.org/10.4043/31863-ms","authors":["Matthew Straw","Rikesh Mistry","Simon Lewis","Ravindra Aglave","Doug Kolak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-24T20:18:47Z","doi":"10.4043/31863-ms","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1002/9781394257003.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.fmatter","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4334476","name":"Analysing the Decisions Involved in Building a Digital Twin for Predictive Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4334476","authors":["Hazel Carlin","Paul Goodall","Bob Young","Andrew West"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-31T10:47:12Z","doi":"10.2139/ssrn.4334476","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.26226/morressier.606f15dc30a2e980041f236c","name":"1aMU3 - Reverse-Engineering a Digital Twin of a Classical Guitar Using the Finite Element Method and Experimental Modal Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.26226/morressier.606f15dc30a2e980041f236c","authors":["Alexander Brauchler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-03T08:15:23Z","doi":"10.26226/morressier.606f15dc30a2e980041f236c","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4680266","name":"A Real-Time Digital Twin to Inform In-Process Decision Support in Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4680266","authors":["Cathal Hoare","Andrew Parnell","Denis Dowling"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-31T00:17:41Z","doi":"10.2139/ssrn.4680266","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1109/cac53003.2021.9728190","name":"Construction of power grid digital twin model based on GAN","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac53003.2021.9728190","authors":["Chengyun Li","Dongsheng Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-14T22:38:14Z","doi":"10.1109/cac53003.2021.9728190","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4374269","name":"Real-Time Temperature Monitoring of Weld Interface Using a Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4374269","authors":["Debanjan Maity","Premchand Radhakrishnan","Muralidhar Mala","Vikranth Racherla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-01T13:31:52Z","doi":"10.2139/ssrn.4374269","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1115/isfa2020-9652","name":"A Digital Twin of Multi-Axis Machine Tool for Micro Process Planning","source":"crossref","abstract":"Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.","url":"https://doi.org/10.1115/isfa2020-9652","authors":["Fumiki Tanaka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-09-25T18:55:07Z","doi":"10.1115/isfa2020-9652","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00012-5","name":"Telemedicine for pain management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00012-5","authors":["Marco Cascella","Federica Monaco","Ornella Piazza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:58:48Z","doi":"10.1016/b978-0-443-34226-4.00012-5","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.64628/aam.4a5jypv4y","name":"A digital twin could help Canada beat wildfires, fix commutes and save tax dollars","source":"crossref","abstract":"","url":"https://doi.org/10.64628/aam.4a5jypv4y","authors":["Ehsan Farsangi","T.Y. Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-15T17:29:42Z","doi":"10.64628/aam.4a5jypv4y","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.56726/irjmets81721","name":"HabitTwin: AI Powered Digital Twin for Self-Improvement","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets81721","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-22T09:24:22Z","doi":"10.56726/irjmets81721","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5194/egusphere-egu26-14321","name":"Operational Sea Ice Information as a Digital Twin","source":"crossref","abstract":"Operating in the polar regions is growing increasingly important due to expanding research needs, emerging economic opportunities and efforts to protect national sovereignty.Ships operating in the Arctic and Antarctic face heightened risks and more severe consequences in the event of an accident due to sea ice, icebergs, harsh sea states, low visibility and extreme temperatures. These hazards are compounded by sparse infrastructures and remoteness, with immediate assistances not readily available during emergencies.While climate change is quickly reducing the amount of sea ice, this does not necessarily translate to a reduction in risk in the short-term. On the contrary, uncertainly due to changing sea ice conditions, and an increase in icebergs due to melting glaciers, can increase risk.The operational sea ice community provides information to lessen risk to life, property and the environment and to improve operational efficiency. That information is used by ships to avoid or navigate through sea ice, by ship operators in planning polar voyages, and by policy makers to assess the impact of climate change on future decisions regarding polar operations. Beyond safety, these services also increase operational efficiency by enabling optimized routing, reduced fuel consumption, and shorter transit times.The information provided by the operational sea ice community comes from in-situ measurements, satellite earth observation data, and sophisticated models of the atmosphere, oceans, sea ice, and icebergs. These data streams have historically been assembled and interpreted by highly trained human analysts. Given the rapid increase in the amount of data that needs to be analyzed and the constraints on workforces due to government fiscal reductions, their work is increasingly being assisted by artificial intelligence. Furthermore, because sea ice is highly dynamic and can change within a matter of hours, automation and AI are indispensable for providing real-time and forecast information.The operational sea ice workflows have many of the attributes of an Earth System Digital Twin:Utilization of detailed digital models of relevant earth systems (atmosphere, ocean, sea ice),Continuous incorporation of near-real-time data from in-situ sensors and earth observation satellites,Use of artificial intelligence and machine learning,Generation of predictive models and forecasts, andProvision of advance analytics and decision support tools to allow end-users to optimize their choices.In fact, much of the information both used and generated by the operational sea ice community is available in Destination Earth, the initiative of the European Commission to develop a digital twin of the Earth.This presentation will examine the provision of operational sea ice information as an example of the application of digital twins to provide actionable insights on climate adaptation and disaster risk reduction. It will present current capabilities, AI-enabled workflows, and lessons learned from operational implementation, with a focus on supporting safe and sustainable polar shipping.","url":"https://doi.org/10.5194/egusphere-egu26-14321","authors":["David Arthurs","Lasse Rabenstein","Tyna Dolezalova","Thomas Puestow","Till Rasmussen","Anton Korosov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T02:15:54Z","doi":"10.5194/egusphere-egu26-14321","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6620290","name":"A Digital-Twin-Assisted Multi-Level Framework for EV scheduling in a Coupled power-transportation system","source":"crossref","abstract":"This paper proposes a Digital Twin (DT)–enabled multi-level scheduling framework for coordinated electric vehicle (EV) integration in coupled power and transportation systems. The DT synchronizes real-time data from both networks, enabling monitoring, predictive analysis, and informed decision-making. Interactions between charging stations (CSs) and EV users are modeled using a Stackelberg game, while system-level coordination is achieved through Karush–Kuhn–Tucker (KKT) reformulation. A DT-integrated clustering approach generates uncertainty scenarios for renewable generation, prices, loads, and EV state-of-charge (SOC), enhancing robustness. The framework jointly optimizes EV routing, CS operation, demand response (DR), and vehicle-to-grid (V2G) services. Results show DT reduces forecasting errors by up to 17% for PV generation and 40% for SOC. It smooths price volatility, reduces congestion at critical nodes, and increases V2G participation. Sensitivity analysis confirms improved profit stability and risk resilience, demonstrating DT effectiveness in enhancing coordination and operational robustness.","url":"https://doi.org/10.2139/ssrn.6620290","authors":["Pegah Alaee","Július Bemš"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-21T09:55:02Z","doi":"10.2139/ssrn.6620290","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.22360/springsim.2019.anss.018","name":"A Real-time Mechanical Structures Monitoring System Based on Digital Twin, IoT and Augmented Reality","source":"crossref","abstract":"","url":"https://doi.org/10.22360/springsim.2019.anss.018","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-08-28T17:25:42Z","doi":"10.22360/springsim.2019.anss.018","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.5123044","name":"Approach of a Digital Twin for the High-Frequency Dynamics (Fmr) of Arbitrarily Shaped, Symmetric Ferromagnetic Polycrystalline Samples","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5123044","authors":["Klaus Seemann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-03T20:40:09Z","doi":"10.2139/ssrn.5123044","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4811648","name":"Feeding Low-Cost Real-Time Shoreline Data into Digital Twin Via Remote Sensing Technique","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4811648","authors":["Khurram Riaz","Marion Mcafee","Salem Gharbia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-30T01:18:33Z","doi":"10.2139/ssrn.4811648","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1556/606.2025.01511","name":"Digital twin model for performance analysis and manufacturing process optimization","source":"crossref","abstract":"Abstract This study aims to develop a Digital Twin-based framework to address these challenges, with a practical application to heavy vehicle components. The proposed approach is characterized by the integration of planning data, operational parameters, and mathematical models into a unified digital platform that enables real-time monitoring and prediction. The results showed that the proposed system improved process performance prediction accuracy by 12.6%, reduced material waste by 9.4%, and reduced processing time by 7.8%, while achieving a significant improvement in the quality of the final surface. These indicators confirm that integrating Digital Twins into computer-aided manufacturing not only increases operational efficiency but also expands the potential for smart manufacturing by enhancing the reliability of digital modeling and supporting informed decision in complex industrial environments.","url":"https://doi.org/10.1556/606.2025.01511","authors":["Alsigar Masar","Alhafadhi Mahmood"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T10:32:51Z","doi":"10.1556/606.2025.01511","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.36227/techrxiv.21191167","name":"The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches","source":"crossref","abstract":"&lt;p&gt;The advancements of mixed reality services, with the evolution of network virtualization and native artificial intelligence (AI) paradigms, have conceptualized the vision of future wireless networks as a comprehensive entity operating in whole over a digital platform, with smart interaction with the physical domain, paving the way for the blooming of the Digital Twin (DT) concept. The recent interest in the DT networks is fueled by the emergence of novel wireless technologies and use-cases, that exacerbate the level of complexity to orchestrate the network and to manage its resources. Driven by the internet-of-sensing and AI, the key principle of the DT is to create a virtual twin for the physical entities and network dynamics, where the virtual twin will be leveraged to generate synthetic data, in addition to the received sensed data from the physical twin in an on-demand manner. The available data at the twin will be the foundation for AI models training and intelligent inference process. Despite the common understanding that AI is the seed for DT, we anticipate the DT and AI will be enablers for each other, in a way that overcome their limitations and complement each other benefits. In this article, we dig into the fundamentals of DT, where we reveal the role of DT in unifying model-driven and data-driven approaches, and explore the opportunities offered by DT in order to achieve the optimistic vision of 6G networks. We further unfold the essential role of the theoretical underpinnings in unlocking further opportunities by AI, and hence, we unveil their pivotal impact on the realization of reliable, efficient, and low-latency DT. Finally, we identify the limitations of AI-DT and overview potential future research directions, to open the floor for further exploration in AI for DT and DT for AI.&lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.21191167","authors":["Lina Bariah","Merouane Debbah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-29T02:42:04Z","doi":"10.36227/techrxiv.21191167","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.6825859","name":"Edge-Enabled Digital Twin Drone Networks for UAV-IoT Systems: Architecture, Enabling Technologies, and Future Directions","source":"crossref","abstract":"Drones are becoming increasingly integrated into Internet of Things (IoT) infrastructures, particularly for real-time monitoring, smart-city services, environmental observation, and autonomous service delivery. However, many existing drone-IoT systems still operate in a fragmented manner in which the sensor data, situational awareness, decision-making, and coordination across hovering and ground entities are not fully integrated. Digital twins (DTs), which keep virtual representations of drones, IoT devices, communication linkages, and monitoring environments, can address this gap. These twins, when deployed at the edge of the network, can provide faster analysis, prediction, adaptive coordination, and context-aware control. In this paper, we propose Edge-Enabled Digital Twin Drone Networks (DTDNs) for UAV-IoT systems. The proposed architecture follows four layers: the physical layer, the communication layer, the DT layer, and the DT network layer. We also present five key design features of DTDN and two use cases to show how DTDN can enhance adaptive monitoring and drone coordination. In the end, architectural benefits, deployment challenges, and future directions are given.","url":"https://doi.org/10.2139/ssrn.6825859","authors":["Ahmad Arsalan","Zupash Awais"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T02:49:44Z","doi":"10.2139/ssrn.6825859","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.64917/ircee.v13.i05.a02","name":"Intelligent Architectures Integrating Digital Twin Technologies, Edge Computing, And Cyber-Physical Intelligence For Advanced Industry 4.0 Applications","source":"crossref","abstract":"The rapid transformation of industrial ecosystems through Industry 4.0 technologies has accelerated the integration of digital twins, edge computing, and cyber-physical intelligence into manufacturing and smart infrastructure systems. Contemporary industrial environments demand real-time responsiveness, predictive operational capabilities, adaptive automation, and secure data orchestration across interconnected platforms. This research investigates intelligent architectural models that integrate digital twin technologies with edge computing frameworks and cyber-physical systems to support advanced industrial applications. The study synthesizes existing theoretical and technological developments from digital manufacturing, Industrial Internet of Things (IIoT), artificial intelligence, and intelligent automation literature. A multilayer intelligent architecture is proposed comprising sensing, edge analytics, digital twin synchronization, cyber-physical intelligence, and decision orchestration layers. The study critically evaluates operational efficiency, predictive maintenance, adaptive control, security management, and scalability within Industry 4.0 ecosystems. Findings indicate that the convergence of edge intelligence and digital twins significantly improves system responsiveness, reduces latency, enhances predictive analytics, and strengthens decentralized industrial control. However, challenges related to interoperability, computational complexity, cybersecurity vulnerabilities, and standardization remain significant barriers to implementation. The research contributes a comprehensive conceptual framework for intelligent industrial architectures while identifying strategic research directions for resilient and scalable smart manufacturing ecosystems.","url":"https://doi.org/10.64917/ircee.v13.i05.a02","authors":["Dr. Sokha Chan","Dr. Dara Lim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T13:48:48Z","doi":"10.64917/ircee.v13.i05.a02","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1007/978-3-031-26104-6_11","name":"Which Types of Workers Are Adversely Affected by Digital Transformation? Insights from the Task-Based Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6_11","authors":["Talea Hellweg","Martin Schneider"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T02:01:47Z","doi":"10.1007/978-3-031-26104-6_11","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.5220/0013427300003950","name":"LLM-Based Adaptive Digital Twin Allocation for Microservice Workloads","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013427300003950","authors":["Pedro Garcia","Ester Oribes","Ivan Lopes Junior","Braulio Marques de Souza","Angelo Crestani","Arthur Lorenzon","Marcelo Luizelli","Paulo Severo de Souza","Fábio Rossi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-06T00:42:16Z","doi":"10.5220/0013427300003950","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.23919/oceans52994.2023.10337081","name":"Digital Twin Technology for Autonomous Vessels","source":"crossref","abstract":"","url":"https://doi.org/10.23919/oceans52994.2023.10337081","authors":["Michael V. McCallum","Brian J. Donlan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-11T14:46:16Z","doi":"10.23919/oceans52994.2023.10337081","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.7753/ijcatr1012.1006","name":"Digital Twin Technology: A Novel Approach to Pipeline Corrosion Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.7753/ijcatr1012.1006","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-16T07:00:24Z","doi":"10.7753/ijcatr1012.1006","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1002/eng2.70829/v1/review1","name":"Review for \"Defense Algorithm Based on Reinforcement Learning and Digital Twin for Distribution Equipment Protection Device Maloperation Countermeasure Samples\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.70829/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T21:06:16Z","doi":"10.1002/eng2.70829/v1/review1","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00010-5","name":"IoMT-driven smart healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00010-5","authors":["Arun Kumar Dey","Govind P. Gupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:43:47Z","doi":"10.1016/b978-0-443-30300-5.00010-5","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4076633","name":"Digital Twin for Overall Equipment Effectiveness in Intelligent Production Planning","source":"crossref","abstract":"Digital Twin (DT) is a virtual clone that replicates the real-world object or process in real-time. Overall Equipment Effectiveness (OEE) is a quantitative KPI in Lean Manufacturing that measures the percentage of planned production time that is truly productive. &lt;br&gt;&lt;br&gt;Today’s computer-integrated shop floor, enterprise and supply chain levels can automatically transform OEE data into useful information, making split-second decisions to achieve cutting-edge adaptability and design changes to best support the often-unpredictable demands. However, this competitive advantage remains untapped by many factories that experience bottlenecks in its production flow.&lt;br&gt;&lt;br&gt;In this paper, Digital Twin (DT) and Overall Equipment Effectiveness (OEE) is applied to the Model Factory in Singapore Institute of Manufacturing Technology (SIMTech) to carry out Intelligent Production Planning (IPP) by eliminating identifiable chokepoints in a stepwise manner, maximizing production flow measured by 24-hour throughput. This IPP effectively eliminates machine idling and increases 24-hour throughput by six-fold without physically stopping the production process. It is a case study on how simulation results can help stakeholders understand the capabilities and limitations of their existing production layout. The findings of this paper can be further developed into a Digital Twin course that follows the “Learn-Practice-Implement” concept for trainees to understand key DT Concepts and implement the IPP within their factory.&lt;br&gt;","url":"https://doi.org/10.2139/ssrn.4076633","authors":["Bryan Chee Leong Chia","Kai Yang Yuen","Keng Soon Woon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-07T23:21:37Z","doi":"10.2139/ssrn.4076633","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.2139/ssrn.4106485","name":"The Twin Transition to a Green and Digital Economy: The Role for EU Competition Law","source":"crossref","abstract":"The EU’s economic strategy is currently centered on two key pillars: environmental sustainability and digitalisation. While a range of policies need to be implemented and updated to match the challenges of real-world developments, EU competition law is one area that must play its part in achieving the Union’s ambitious objectives. The aim of this paper is to discuss digital and green competition law, and how the two might interact to more effectively contribute to the EU’s green and digital transition. To this aim, we first review the evolution of the discourses on digital and green competition law, specifically how competition law policy-makers, enforcers, and commentators conceptualised the role of competition law in delivering more digitalised and greener market solutions. Building on this, the paper offers insights into common problems and opportunities that competition law might encounter while transitioning into a law that more aptly responds to these major challenges of our times. This discussion is clustered around four central themes, which explore (i) how to integrate public policy goals (in particular, data protection and environmental sustainability) into competition law, (ii) how to measure non-economic harms and benefits, (iii) when competition law should be more permissive and when prohibitive, and (iv) how competition law could assist in creating a digital and green economy. This latter challenge sits right at the heart of the EU’s transition to a digital and green economy, and could require a careful recalibration of competition policy.","url":"https://doi.org/10.2139/ssrn.4106485","authors":["Klaudia Majcher","Viktoria H.S.E. Robertson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-28T08:01:38Z","doi":"10.2139/ssrn.4106485","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"doi:10.1016/j.oceaneng.2023.114128","name":"Ship digital twin architecture for optimizing sailing automation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2023.114128","authors":["Omer Kemal Kinaci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-13T06:37:19Z","doi":"10.1016/j.oceaneng.2023.114128","addedAt":"2026-09-01T01:47:35.439Z","updatedAt":"2026-09-01T01:47:35.439Z"},{"id":"pmid:40164529","name":"Biomechanical comparison between three intramedullary nails and percutaneous compression plate in stable and unstable trochanteric fractures.","source":"pubmed","abstract":"The best surgical treatment of trochanteric fractures remains controversial and biomechanical literature lacks a comprehensive study. The study compares the behavior of fixation implants for the treatment trochanteric fractures, namely: intramedullary gamma nail, proximal femoral nail, veronail, and extramedullary percutaneous compression plate.","url":"https://pubmed.ncbi.nlm.nih.gov/40164529/","authors":["La Barbera L","Tanaka A","Berti F","Antonini G","Villa T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 27","doi":"10.1016/j.clinbiomech.2025.106507","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40163682","name":"Enhancing three-dimensional anatomical understanding in complex thoracic surgery: a comparative study of OpVerse and Synapse 3D.","source":"pubmed","abstract":"Virtual reality (VR) technology is increasingly employed in medical settings to provide innovative solutions for complex surgeries. In this study, we introduced and compared OpVerse, a multifunctional new VR platform developed for surgical simulations, with established software Synapse 3D to assess its efficacy in facilitating complex thoracic surgeries.","url":"https://pubmed.ncbi.nlm.nih.gov/40163682/","authors":["Zheng YA","Lee YC","Huang JY","Hsieh HY","Chen YS","Chiang XH","Han PH","Lin MW","Hsu HH","Hung YP","Chen JS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 28","doi":"10.1093/ejcts/ezaf069","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40163262","name":"A digital twin of the Biograph Vision Quadra long axial field of view PET/CT: Monte Carlo simulation and image reconstruction framework.","source":"pubmed","abstract":"The high sensitivity and axial coverage of large axial field of view (LAFOV) PET scanners have an unmet potential for total-body PET research. Despite these technological advances, inherent challenges to PET scans such as patient motion persist. To provide simulation-derived ground truth information, we developed a digital replica of the Biograph Vision Quadra LAFOV PET/CT scanner closely mimicking real event processing and image reconstruction.","url":"https://pubmed.ncbi.nlm.nih.gov/40163262/","authors":["Pommranz CM","Elmoujarkach EA","Lan W","Cabello J","Linder PM","Vo HP","Mannheim JG","Santangelo A","Conti M","la Fougère C","Rafecas M","Schmidt FP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 31","doi":"10.1186/s40658-025-00738-3","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40158739","name":"Artificial Intelligence-Enabled Clinical Trials in Inflammatory Bowel Disease: Automating and Enhancing Disease Assessment and Study Management.","source":"pubmed","abstract":"Artificial intelligence (AI) will fundamentally improve how we perform clinical trials by addressing issues of standardizing disease scoring, improving the sensitivity and precision of activity and phenotype assessments, and automating laborious and time-consuming study functions. Progress in AI image analysis is quickly proving to replicate expert judgment in endoscopy, histology, and cross-sectional imaging with speed, reproducibility, and reduced bias. However, AI analytics offer the ability to quantify disease characteristics with more detail and precision than human experts. Large language models and generative AI are automating the collection of high-quality data from electronic records and improving our ability to predict patient outcomes. This narrative review will focus on AI tools available today, their expected implementation, and future-facing opportunities for AI to reimagine inflammatory bowel disease clinical trials.","url":"https://pubmed.ncbi.nlm.nih.gov/40158739/","authors":["Stidham RW","Ghanem LR","Fletcher JG","Bruining DH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1053/j.gastro.2025.02.039","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40157191","name":"Integrated hydrothermal characterization of DNAPL source zones and subsurface heterogeneity for enhancing DNAPL thermal remediation prediction.","source":"pubmed","abstract":"Developing efficient and cost-effective in-situ thermal treatment (ISTT) strategies for the treatment of dense nonaqueous phase liquid (DNAPL) requires detailed characterization of subsurface heterogeneity and DNAPL source zone architecture (SZA). However, current characterization methods are costly and often provide limited information about the aquifer and DNAPL SZA. In this study, a data fusion framework is developed to interpret the site-specific observation from DNAPL-contaminated zones treated with ISTTs. Cross-correlation analysis reveals that observed temperature, pressure, and extracted flow rates during ISTTs provide the most significant information about aquifer permeability (lnk) distribution and source/sink conditions. Using numerical experiments, we demonstrate the effectiveness of the proposed inversion framework, and integrating temperature, pressure, and pretreatment contaminant concentration data for inversion leads to the best characterization. Results also show that uncertainty in the variance of lnk and source/sink conditions has a minor influence on the estimates.","url":"https://pubmed.ncbi.nlm.nih.gov/40157191/","authors":["Guo S","Zha Y","Xu D","Zhong H","Yeh TJ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jul 15","doi":"10.1016/j.jhazmat.2025.138027","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40155390","name":"Digital twin-assisted graph matching multi-task object detection method in complex traffic scenarios.","source":"pubmed","abstract":"Addressing the challenges of time-consuming and labor-intensive traffic data collection and annotation, along with the limitations of current deep learning models in practical applications, this paper proposes a cross-domain object detection transfer method based on digital twins. A digital twin traffic scenario is constructed using a simulation platform, generating a virtual traffic dataset. To address distributional discrepancies between virtual and real datasets, a multi-task object detection algorithm based on graph matching is introduced. The algorithm employs a graph matching module to align the feature distributions of the source and target domains, followed by a multi-task network for object detection. An attention mechanism is then applied for instance segmentation, with the two tasks exhibiting different noise patterns that mutually enhance the robustness of the learned representations. Additionally, a multi-level discriminator is designed, leveraging both low- and high-level features for adversarial training, thus enabling tasks to share useful information, which improves the performance of the proposed method in object detection tasks. Through comprehensive comparative experiments with various state-of-the-art methods, the practical value of the generated virtual dataset has been fully demonstrated. Furthermore, the effectiveness of the proposed graph-matching-based transfer method has been validated. These findings highlight the dataset's capacity to enhance task performance and underscore the robustness and adaptability of the proposed approach in diverse scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40155390/","authors":["Li M","Liu C","Pan X","Li Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 29","doi":"10.1038/s41598-025-87914-8","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40152109","name":"Algorithm-Driven Initiation and Adaptation of Hybrid Closed-Loop in Young Children with Type 1 Diabetes: A Pilot Study.","source":"pubmed","abstract":"Introduction: Glucose regulation in young children is complicated by higher glycemic variability, unpredictable behaviors, and low insulin needs. While the benefits of automated insulin delivery (AID) for this population are established, how to initiate and adjust pump settings still represents a challenging task for health care providers. In this study, we investigate the safety and efficacy of using algorithm-driven initiation and adjustments of AID parameters in children aged 2-6 years. Methods: Participants used AID at home for 8 weeks. Initial settings and periodic adjustments of therapy profiles (basal rates, insulin-to-carbohydrate ratios, insulin-correction factors, and sleep schedules) were provided through a cloud-based investigational software. Investigators reviewed therapy recommendations and could adjust if necessary. Primary safety endpoints included the percentage of time &lt;54 mg/dL and &gt;250 mg/dL, tested for noninferiority with respect to baseline. Primary efficacy endpoints (tested in a hierarchical manner) were the percentage of time in 70-180 mg/dL, mean glucose, the percentage of time &gt;250 mg/dL, &lt;70 mg/dL, and &lt;54 mg/dL. Results: Thirty-two participants (age range: 2.0-5.9 years) were recruited for the study; 29 had sufficient data for the analysis. Investigators overrode 15% of software recommendations. The percentage of time &lt;54 mg/dL and &gt;250 mg/dL was noninferior in the 8-week follow-up with respect to baseline ( P &lt; 0.001). Statistically significant improvements were observed in the percentage of time in 70-180 mg/dL ( P = 0.005), &gt;250 mg/dL ( P = 0.003), and mean glucose ( P = 0.02). No difference was observed in the percentage of time &lt;70 mg/dL ( P = 0.34). Furthermore, no difference was observed with respect to a similar study cohort (same age range, n = 86) with expert pediatric endocrinologists modifying pump settings. Conclusions: Findings from this pilot study suggest that the use of AID with algorithm-driven initiation and adjustment of pump parameters is safe and effective in young children with type 1 diabetes. Further study of the algorithm in a larger cohort is indicated. Clinical Trials Registration number: NCT06017089.","url":"https://pubmed.ncbi.nlm.nih.gov/40152109/","authors":["Pavan J","Cobry E","Reed ZW","Villa-Tamayo MF","Diaz C JL","DeBoer MD","Schoelwer M","Jost E","Kingman R","Holmes V","Lum JW","Koravi CLK","Buckingham B","Beck R","Wadwa RP","Breton MD","PEDAP-AI Trial Study Group"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1089/dia.2024.0650","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40152030","name":"Monitoring multiple sclerosis: digital and fluid phase biomarkers.","source":"pubmed","abstract":"Monitoring of disease activity and treatment response in multiple sclerosis (MS) currently relies on the integration of qualitative clinical and radiological data that is of limited predictive value. An array of quantitative digital and fluid biomarkers, many on the cusp of broad clinical translation, is expected to herald a new era of data-driven therapeutic strategy, particularly with respect to the sequencing of disease-modifying therapies (DMTs). Available highly-effective DMTs, which largely abolish acute inflammatory activity in early, relapsing MS, have a limited impact on progressive MS disease biology. However, robust digital and fluid biomarkers of progression independent of relapse activity (PIRA) have emerged as a major unmet need, fuelled by the imminent availability of treatments that target pathomechanisms such as chronic active or smouldering brain inflammation.","url":"https://pubmed.ncbi.nlm.nih.gov/40152030/","authors":["Ward K","Reddel S","Leocani L","Barnett M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun 1","doi":"10.1097/WCO.0000000000001365","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40150677","name":"Transformative Approaches in Breast Cancer Detection: Integrating Transformers into Computer-Aided Diagnosis for Histopathological Classification.","source":"pubmed","abstract":"Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide, necessitating advancements in diagnostic methodologies to improve early detection and treatment outcomes. This study proposes a novel twin-stream approach for histopathological image classification, utilizing both histopathologically inherited and vision-based features to enhance diagnostic precision. The first stream utilizes Virchow2, a deep learning model designed to extract high-level histopathological features, while the second stream employs Nomic, a vision-based transformer model, to capture spatial and contextual information. The fusion of these streams ensures a comprehensive feature representation, enabling the model to achieve state-of-the-art performance on the BACH dataset. Experimental results demonstrate the superiority of the twin-stream approach, with a mean accuracy of 98.60% and specificity of 99.07%, significantly outperforming single-stream methods and related studies. Statistical analyses, including paired t -tests, ANOVA, and correlation studies, confirm the robustness and reliability of the model. The proposed approach not only improves diagnostic accuracy but also offers a scalable and efficient solution for clinical applications, addressing the challenges of resource constraints and increasing diagnostic demands.","url":"https://pubmed.ncbi.nlm.nih.gov/40150677/","authors":["Alwateer M","Bamaqa A","Farsi M","Aljohani M","Shehata M","Elhosseini MA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 20","doi":"10.3390/bioengineering12030212","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40150206","name":"User Experience Design for Online Sports Shoe Retail Platforms: An Empirical Analysis Based on Consumer Needs.","source":"pubmed","abstract":"Digital technologies represented by AR (Augmented Reality), VR (Virtual Reality), and digital twins, along with the expansion of metaverse platforms and digital marketing concepts, have attracted the attention of numerous sports fashion product consumers and brands, particularly in the category of sports shoes. Therefore, in the context of digital technologies, understanding the factors that affect consumer experience and the preferences in the online purchasing process of sports shoes is very important. This study employs Latent Dirichlet Allocation topic analysis to analyze 44,110 online user posts and comments from social platforms, extracting thematic elements of consumer experience needs for purchasing sports shoes online. The information obtained is further encoded and designed into a questionnaire, which is then utilized alongside the Kano model to analyze the overall preferences of consumer experience needs. The results indicate that webpage design and basic product information are considered as Must-be attributes for user experience needs; providing information on after-sales service policies and product comment, products' special feature information, and online size testing are recognized as Performance attributes. Additionally, high-tech interaction methods, visual presentation, personalized customization, virtual try-on, apparel matching recommendations, and dressing scenario recommendations are identified as Attractive attributes. The study reveals that in the context of new digital technology development, the online shopping experience for sports shoes is enhanced across four dimensions: platform experience augmentation, product experience augmentation, user demand augmentation, and interactive experience augmentation. These four dimensions collectively constitute the holistic experience design for the online retail platform. Therefore, this research provides case references and theoretical insights for researchers and developers in the fields of brand marketing, experience design, and product service innovation.","url":"https://pubmed.ncbi.nlm.nih.gov/40150206/","authors":["Zou Y","Zhao C","Childs P","Luh D","Tang X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 5","doi":"10.3390/bs15030311","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40150040","name":"Numerical Evaluation of Abdominal Aortic Aneurysms Utilizing Finite Element Method.","source":"pubmed","abstract":"Background: In recent years, more and more numerical tools have been utilized in medicine in or-der to assist the evaluation and decision-making processes for complex clinical cases. Towards this direction, Finite Element Models (FEMs) have emerged as a pivotal tool in medical research, particularly in simulating and understanding the complex fluid and structural behaviors of the circulatory system. Furthermore, this tool can be used for the calculation of certain risks regarding the function of the blood vessels. Methods: The current study developed a computational tool utilizing the finite element method in order to numerically evaluate stresses in aortas with abdominal aneurysms and provide the necessary data for the creation of a patient-specific digital twin of an aorta. More specifically, 12 different cases of aortas with abdominal aneurysms were examined and evaluated. Results: The first step was the 3D reconstruction of the aortas trans-forming the DICOM file into 3D surface models. Then, a finite element material model was developed simulating accurately the mechanical behavior of aortic walls. Conclusions: Through the results of these finite element analyses the values of tension, strain, and displacement were quantified and a rapid risk assessment was provided revealing that larger aneurysmatic regions elevate the risk of aortic rupture with some cases reaching an above 90% risk.","url":"https://pubmed.ncbi.nlm.nih.gov/40150040/","authors":["Kyparissis K","Kladovasilakis N","Daraki MS","Raptis A","Tsantrizos P","Moulakakis K","Kakisis J","Manopoulos C","Stavroulakis GE"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 12","doi":"10.3390/diagnostics15060697","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40149145","name":"Quantum Secure Direct Communication Technology-Enhanced Time-Sensitive Networks.","source":"pubmed","abstract":"Quantum information has emerged as a frontier in scientific research and is transitioning to real-world technologies and applications. In this work, we explore the integration of quantum secure direct communication (QSDC) with time-sensitive networking (TSN) for the first time, proposing a novel framework to address the security and latency challenges of Ethernet-based networks. Because our QSDC-TSN protocol inherits all the advantages from QSDC, it will enhance the security of the classical communications both in the traditional TSN- and QKD-based TSN by the quantum principle and reduce the communication latency by transmitting information directly via quantum channels without using keys. By analyzing the integration of QSDC and TSN in terms of time synchronization, flow control, security mechanisms, and network management, we show how QSDC enhances the real-time performance and security of TSN. These advantages enable our QSDC-TSN to keep the balance between and meet the requirements of both high security and real-time performance in industrial control, in a digital twin of green power and green hydrogen systems in distributed energy networks, etc., showing its potential applications in future quantum-classical-hybrid systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40149145/","authors":["Zhang S","Zheng C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 21","doi":"10.3390/e27030221","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40148407","name":"Evaluation framework for domain-specific digital twin platforms.","source":"pubmed","abstract":"As digital twin (DT) applications continue to proliferate across diverse industries, a noticeable gap exists in the availability of evaluation methods or frameworks to aid in the selection and development of DT platforms, particularly for Domain-Specific applications. To address this gap, this paper proposes a comprehensive evaluation framework for DT platforms, with a focus on Domain-Specific applications. The framework uses the Best-Worst Method and Fuzzy Comprehensive Evaluation method (BWM-FCE) to assess the performance, user experience, and economic effects of DT platforms. The proposed framework is applied to a case study of a high-speed train DT platform and compared with other evaluation methods AHP(Analytic Hierarchy Process) and BWM-SPA (Best-Worst Method-Set Pair Analysis). The results demonstrate the feasibility and effectiveness of the proposed framework and highlight its potential for guiding the development and selection of DT platforms for Domain-Specific applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40148407/","authors":["Tang Z","Zhuang D","Zhang J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 27","doi":"10.1038/s41598-024-82154-8","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40148404","name":"Digital twin-driven strategic demolition plan for circular asset management of bridge infrastructures.","source":"pubmed","abstract":"Economic growth plays an important role in the rapid increase in construction of transportation and bridge infrastructures, which in turn causes enormous greenhouse gas emissions contributing directly to climate change. An innovative and effective method, so-called Building Information Modeling (BIM), to sustainably manage detailed lifecycle of infrastructures, has been recently adopted to revolutionise the Architecture, Engineering and Construction (AEC) industry. Its major function is to sustainably optimise all detailed stages of an infrastructure asset's lifecycle. A three-dimensional architectural BIM incorporating three additional dimensions (time, cost, and carbon emissions) has then been created in this study to virtualise the whole lifecycle performance of bridge infrastructure through BIM data.&#xa0;For circular asset management, multi-scale details of assets and infrastructures are indispensable. On this ground,&#xa0;these information dimensions are highly critical to asset managers to assure not only public safety, but also sustainability over the whole lifecycle. It is thus critical to quantify carbon footprint in order to identify better alternative solutions for construction and maintenance, resulting in carbon neutrality and carbon credit. Our digital twin (DT), driven by the BIM, has embedded demolition scenarios whose lifecycle cost and carbon footprint can be quantified and optimized simultaneously. Our study is the first to also demonstrate circular end-of-life management through strategic demolition planning that enhances circular economy practice. This aspect is novel and has not been commonly adopted in practice. Our study reveals that the construction stage of the asset lifecycle for this study is the main contributor to carbon emissions and costs stemming from raw materials and their productions. This eventually leads to significant waste at the end of asset's life, requiring strategic demolition plan to maximise reuse, repurpose,&#xa0;and recycle of materials, parts and components. Our innovative DT is capable of dealing with the cradle-to-cradle lifecycle management.&#xa0;Another co-benefit of using the BIM-based digital twin is to minimise streamlining design, re-work, mitigating risk, and real time processing of design changes in all stakeholders, reducing the effect on carbon emissions, costs, and time schedules. All dimensions (i.e. 6D) can be updated and re-calculated in real time when cross-linked with inspections and condition monitoring, generating real-time digital twin driven solutions.","url":"https://pubmed.ncbi.nlm.nih.gov/40148404/","authors":["Kaewunruen S","O'Neill C","Sengsri P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 27","doi":"10.1038/s41598-025-94117-8","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40147671","name":"Development and calibration of digital twins for human skin growth in tissue expansion.","source":"pubmed","abstract":"Tissue expansion (TE), an essential technique in reconstructive surgery, leverages the growth of skin in response to stretch. However, human skin growth dynamics have not been evaluated in vivo. Previously, we quantified this process in a porcine model and developed a calibrated computational framework. Here, we create patient-specific finite element (FE) models of skin growth in TE using longitudinal 3D photos collected during TE treatment. These geometries enable Bayesian model calibration, accounting for uncertainties in boundary conditions, mechanical properties, and biological parameters. The framework incorporates prior knowledge from the porcine model as well as literature information on human skin mechanics. The likelihood function assesses alignment between predicted and observed geometries, and predicted and observed skin growth. To efficiently sample the posterior distribution, we use Markov Chain Monte Carlo (MCMC) with Gaussian process surrogates, reducing computational cost. This pipeline is demonstrated in five TE cases. Post-calibration, FE models closely match 3D photos, with errors below 2 mm on average. Notably, Bayesian calibration collapses the critical stretch parameter posterior distribution. This study presents the first in vivo measurement of human skin growth, confirming that FE models accurately capture TE in the clinical setting, and that porcine-derived parameters provide a strong prior for Bayesian calibration in the clinical case. These findings support the development of personalized digital twins for TE, enhancing surgical planning and outcomes. Statement of significance Tissue expansion (TE) is widely used in reconstructive surgery, particularly for breast reconstruction and pediatric defect repair. While skin growth has been quantified in animal models, this work provides the first clinical measurement of human skin growth during TE. We employ a Bayesian calibration framework to create personalized finite element (FE) simulations for five TE cases. The initial FE model is constructed from a patient's 3D photo taken at the start of treatment. Then, uncertainties in mechanical and biological parameters as well as boundary conditions are sampled and the model run. We use Gaussian process surrogates to replace the FE model. Calibration of parameters is done with 3D photos taken longitudinally during TE. This pipeline for skin digital twins can enhance personalized TE procedures, optimizing outcomes and reducing complications.","url":"https://pubmed.ncbi.nlm.nih.gov/40147671/","authors":["Laudo J","Han T","Figueroa AE","Ledwon J","Gosain AK","Lee T","Tepole AB"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May 15","doi":"10.1016/j.actbio.2025.03.026","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40146092","name":"Reduction of AF Burden After Cryoballoon Ablation in Patients With Early Persistent AF: The COOL-PER Trial.","source":"pubmed","abstract":"Limited data exist on reducing the atrial fibrillation (AF) burden, the regression from persistent to paroxysmal AF, and symptom improvement after cryoablation in patients with persistent AF.","url":"https://pubmed.ncbi.nlm.nih.gov/40146092/","authors":["Lee SR","Choi EK","Lee KY","Choi J","Ahn HJ","Kwon S","On YK","Lee JH","Cho Y","Oh IY","Lim HE","Cho MS","Nam GB","Lip GYH","Oh S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun","doi":"10.1016/j.jacep.2025.02.006","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40144388","name":"Using 3D and 4D digital human modeling in extended reality-based rehabilitation: a systematic review.","source":"pubmed","abstract":"Extended reality (XR) is increasingly used in rehabilitation, showing potential to enhance clinical outcomes. Recently, integrating digital human modeling (DHM) with XR has gained attention. This systematic review aimed to evaluate the effectiveness of combining 3D and 4D DHM with XR in rehabilitation.","url":"https://pubmed.ncbi.nlm.nih.gov/40144388/","authors":["Lu M","Saeys W","Maryam M","Gjeleshi I","Nazarahari H","Truijen S","Scataglini S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fbioe.2025.1496168","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40142961","name":"Amikacin Dosing Adjustment in Critically Ill Oncologic Patients: A Study with Real-World Patients, PBPK Analysis, and Digital Twins.","source":"pubmed","abstract":"Background/Objectives: Guidelines recommend adjusting amikacin dosing based on patients' renal function. Nevertheless, for critically ill cancer patients, the renal function equations based on serum creatinine levels have low or no correlation with amikacin clearance. Considering this, using real-world data, we built an amikacin PBPK model to predict amikacin plasma concentrations in critically ill oncologic patients stratified by renal impairment levels. Further, the model was applied for dose stratification and individualization (digital twin strategy) in this population. Methods: In the Therapeutic Drug Monitoring (TDM) study, 368 amikacin pharmacokinetic analyses from 184 critically ill cancer patients were enrolled in three cohorts. A full-body PBPK model was developed using PK-Sim v. 11.3. Results: The final PBPK model accounted for two groups of critically ill cancer patients with mild (creatinine clearance; CLcr &#x2265; 60 mL/min) or severe (CLcr &lt; 60 mL/min) renal dysfunction. In the dose stratification strategy, at the 7th dose, cancer patients with CLcr &#x2265; 60 mL/min under regimens 20 mg/kg (q24h); 25 mg/kg (q24h); 25 mg/kg (q48h); and 30 mg/kg (q72h) have probability of &#x2265;69% of the patients achieving the efficacy target (AUC/MIC &gt; 80, MIC of 4 mg/L), while cancer patients with CLcr &lt; 60 mL/min under regimens 7.5 mg/kg (q24h); 15 mg/kg (q24h); 15 mg/kg (q48h); and 20 mg/kg (q36h) have &#x2265;90% probability of achieving the same efficacy target. Conclusions: Our MIPD approach demonstrates potential in optimizing amikacin dosing for critically ill cancer patients. However, it does not eliminate the need for TDM due to unexplained variability still not accounted for by the PBPK model.","url":"https://pubmed.ncbi.nlm.nih.gov/40142961/","authors":["Silva JQD","Moraes NV","Estrela R","Coelho D Jr","Feriani D","Migotto K","Caruso P","Silva ILFE","Oliveira DA","Telles JP","Moreira FL"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 24","doi":"10.3390/pharmaceutics17030297","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40141498","name":"MBL-TransUNet: Enhancing Mesostructure Segmentation of Textile Composite Images via Multi-Scale Feature Fusion and Boundary Guided Learning.","source":"pubmed","abstract":"Accurate segmentation is essential for creating digital twins based on volumetric images for high fidelity composite material analysis. Conventional techniques typically require labor-intensive and time-consuming manual effort, restricting their practical use. This paper presents a deep learning model, MBL-TransUNet, to address challenges in accurate tow-tow boundary identification via a Boundary-guided Learning module. Fabrics exhibit periodic characteristics; therefore, a Multi-scale Feature Fusion module was integrated to capture both local details and global patterns, thereby enhancing feature fusion and facilitating the effective integration of information across multiple scales. Furthermore, BatchFormerV2 was used to improve generalization through cross-batch learning. Experimental results show that MBL-TransUNet outperforms TransUNet. MIoU improved by 2.38%. In the zero-shot experiment, MIoU increased by 4.23%. The model demonstrates higher accuracy and robustness compared to existing methods. Ablation studies confirm that integrating these modules achieves optimal segmentation performance.","url":"https://pubmed.ncbi.nlm.nih.gov/40141498/","authors":["Qi H","Ni A","Feng Y","Peng Y","Yang B","Li G","Wang J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 9","doi":"10.3390/ma18061215","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40140384","name":"A pronounced decline in northern vegetation resistance to flash droughts from 2001 to 2022.","source":"pubmed","abstract":"Climate change has led to the transition of droughts into rapid and intensified phenomena known as flash droughts, presenting considerable challenges for risk management, particularly concerning their impact on ecosystem productivity. Quantifying the ecosystem's capacity to maintain productivity during flash droughts, referred to as ecosystem resistance, is crucial to assess drought impacts. However, it remains uncertain how the resistance of ecosystem productivity to flash drought changes over time. Here we show that vegetation resistance to flash droughts declines by up to 27% (&#xb1;5%) over the Northern Hemisphere hotspots during 2001-2022, including eastern Asia, western North America, and northern Europe. The notable decline in vegetation resistance is mainly attributed to increased vapour pressure deficit and temperature, and enhanced vegetation structural sensitivity to water availability. Flash droughts pose higher ecological risks than slowly-developing droughts during the growing seasons, where ecosystem productivity experiences faster decline rates with a shorter response time. Our results underscore the limited ecosystem capacity to resist flash droughts under climate change.","url":"https://pubmed.ncbi.nlm.nih.gov/40140384/","authors":["Zhang M","Yuan X","Zeng Z","Pan M","Wu P","Xiao J","Keenan TF"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 27","doi":"10.1038/s41467-025-58253-z","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40139909","name":"High-fidelity wheat plant reconstruction using 3D Gaussian splatting and neural radiance fields.","source":"pubmed","abstract":"The reconstruction of 3-dimensional (3D) plant models can offer advantages over traditional 2-dimensional approaches by more accurately capturing the complex structure and characteristics of different crops. Conventional 3D reconstruction techniques often produce sparse or noisy representations of plants using software or are expensive to capture in hardware. Recently, view synthesis models have been developed that can generate detailed 3D scenes, and even 3D models, from only RGB images and camera poses. These models offer unparalleled accuracy but are currently data hungry, requiring large numbers of views with very accurate camera calibration.","url":"https://pubmed.ncbi.nlm.nih.gov/40139909/","authors":["Stuart LAG","Wells DM","Atkinson JA","Castle-Green S","Walker J","Pound MP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 6","doi":"10.1093/gigascience/giaf022","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40137610","name":"Atomic-Scale Interfacial Dynamics and Twin Formation in Cu/Al(2)Cu/Al Layered Composites During Cooling: Insights from Molecular Dynamics Simulations.","source":"pubmed","abstract":"This study investigates the cooling process of the Cu/Al 2 Cu/Al system following high-temperature diffusion using molecular dynamics (MD) simulations based on an embedded atom method potential. The analysis focused on various characteristics to determine the structural and property changes within the Cu/Al 2 Cu/Al system during cooling. The findings reveal that only a small number of Cu atoms diffused along the Z-axis near the Cu/Al 2 Cu interface, while significant diffusion of Al atoms occurs in all directions at the Al/Al 2 Cu interface. Moreover, 673 K is identified as a crucial temperature for the crystal transformation of the Cu/Al 2 Cu/Al system during cooling. The Cu/Al 2 Cu interface exhibited migration behavior along the positive Z-axis. Additionally, the growth of Al 2 Cu towards the Al side resulted in a symmetrical lattice distribution along the Al/Al 2 Cu interface, leading to the formation of a twin crystal. In the AI layer, locally disordered atoms transform into vacancies under stress, accumulating as the temperature drops, thereby providing favorable conditions for dislocation initiation. Notably, cooling of the Al layer to 650 K led to the initial generation of 1/6&lt;112&gt; Shockley incomplete dislocations.","url":"https://pubmed.ncbi.nlm.nih.gov/40137610/","authors":["Li S","Cui Y","Wang W","Xie J","Wang A","Zhang F","Mao Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 13","doi":"10.3390/nano15060437","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40137539","name":"Optimization of Illuminance and Color-Temperature Conditions for Railway Passengers' Comfort Based on Oxygenated Hemoglobin Saturation in the Brain.","source":"pubmed","abstract":"Railway travel is an eco-friendly means of transportation, and passengers are spending increasing amounts of time on trains while engaging in various activities. As a major factor affecting railway passengers' comfort, we investigated the effects of lighting. Korean train cars are required to have two rows of light-emitting diode lights with a minimum illuminance of 500 lx, so we examined changes in cerebral blood flow under various illuminance conditions around this threshold value. We used functional near-infrared spectroscopy to measure prefrontal cortex activation in 29 college students under illuminance values of 300, 500, and 800 lx and color-temperature values of 2700 K (bulb color), 4000 K (white color), and 5500 K (blue color). Mean brain activity values were compared using analysis of variance. Of the 48 channels, significant interaction effects between color and illuminance on brain activation responses were observed for channel 38, as well as in the right dorsolateral prefrontal cortex among the different brain regions of the Brodmann area ( p &lt; 0.05). Oxygenated hemoglobin concentrations had consistently negative values for all the treatment combinations, and individual treatment analyses based on single-sample Student's t -tests showed different degrees of brain activation among channels and Brodmann areas. Meanwhile, a comparison of absolute values indicated that an illuminance level of 500 lx was more comfortable than levels of 300 and 800 lx, and that white color was more comfortable than bulb color and blue color. These results provide a scientific basis for the design of train cars that improve passenger comfort and satisfaction, which is anticipated to enhance the quality of railway services.","url":"https://pubmed.ncbi.nlm.nih.gov/40137539/","authors":["Kim M","Lee J","Lee Y","Park D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 14","doi":"10.3390/toxics13030212","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40135538","name":"AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems.","source":"pubmed","abstract":"This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real-world and synthetic data, digital twins, and innovative clinical trial designs, such as in silico and adaptive trials. The review emphasizes AI's ability to drive continuous improvements in care and discovery through comparative effectiveness research and learning health systems. The global healthcare implications discussed here tie back to earlier discussions on human-AI collaboration and precision care, underscoring the neurological sciences' responsibility to adopt AI advances judiciously, while managing their ethical, economic, and environmental impacts. ANN NEUROL 2025;98:651-667.","url":"https://pubmed.ncbi.nlm.nih.gov/40135538/","authors":["Rizzo M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Oct","doi":"10.1002/ana.27230","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40133739","name":"Digital twin-enabled cardiovascular stent optimization: a virtual reality-driven approach to mitigate angioplasty-related deformations.","source":"pubmed","abstract":"Percutaneous transluminal angioplasty with stenting is extensively applied for treatment of atherosclerosis. However, the effects of dogboning (d b ), foreshortening (f s ), longitudinal recoil (l r ) and radial recoil (R r ) usually occur to inflict damage to the artery and make the positioning difficult during the cardiovascular stent (CS) expansion to the maximum and after the inflated balloon removing. In the article, the design and manufacture of a CS were carried out based on digital twin (DT) technology rather than traditional expertise- and experience-based methods. The highly kinetic model of a CS was firstly derived from its upfront proposed geometric configuration, governing equations of solid mechanics and boundary conditions to construct its DT through virtual reality (VR). Then global sensitivity analysis (GSA) and dynamic response optimization (DRO) was implemented to optimize the material and processing parameters including Young's modulus (E), isotropic tangent modulus (E t ), Poisson's ratio (&#x3bd;), density (&#x3c1;) and initial yield stress (&#x3c3;), in order to obtain a satisfied behavior requirements for effects of d b , f s , l r and R r . The prototype experiment result showed that the CS made of shape memory Nitinol with optimal material and processing parameters (&#x3c1;&#x2009;=&#x2009;7050&#xa0;kg&#xa0;m -3 , &#x3bd;&#x2009;=&#x2009;0.27, E&#x2009;=&#x2009;205 GPa, E t &#x2009;=&#x2009;675.13&#xa0;MPa and &#x3c3;&#x2009;=&#x2009;198.49&#xa0;MPa) obtained from its digital twin through VR simulation could have desired behavior performance characteristics, such as weak effect of d b and f s during the CS expansion to the maximum, and l r (-0.9%), distal R r (0.4%) and central R r (0.7%) after the inflated balloon removing.","url":"https://pubmed.ncbi.nlm.nih.gov/40133739/","authors":["Wang J","Zhang Y","Yang Y","Wen X","Xing X","Zhang Z","Dong C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Sep","doi":"10.1007/s11517-025-03352-8","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40132300","name":"Patient-specific microvascular computational modeling for estimating radiotherapy outcomes.","source":"pubmed","abstract":"This study presents a personalized computational framework for modeling the vascular microenvironment in head-and-neck cancer patients and evaluating the impact of microvasculature on radiotherapy outcomes. We first perform a population-based calibration of a microvascular model using data collected with a sublingual microscope from 62 patients, creating synthetic networks that capture microvascular features with a population-based approach. The calibrated models accurately reproduce key physiological parameters, such as red blood cells velocity, aligning with clinical data. Next, we personalize the model for nine patients, demonstrating that digital patient-specific microvascular networks can replicate individual vascular beds' structural and functional characteristics. Simulations highlight that, while morphological features improve with vascularization, red blood cells velocity is less predictable, revealing the limitations of using capillary density alone to describe microvascular complexity. We then integrate these microvascular models into a 3D virtual microenvironment to simulate oxygen delivery and radiotherapy response. Our results show that higher vascularization enhances oxygenation and reduces hypoxic regions, which correlates with improved tumor control probability. Additionally, our findings demonstrate how the properties of microvascular networks, radiosensitivity, and treatment parameters affect predicted radiotherapy outcomes. Our workflow supports the creation of microvascular digital twins, initialized using patient data from sublingual microscopy.","url":"https://pubmed.ncbi.nlm.nih.gov/40132300/","authors":["Materne S","Possenti L","Pisani F","Vitullo P","Catalano A","Iacovelli NA","Franceschini M","Cavallo A","Cicchetti A","Zunino P","Rancati T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.compbiomed.2025.110014","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40131261","name":"New-onset atrial fibrillation in acute coronary syndrome: To anticoagulate or not?","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40131261/","authors":["Essa H","Giblett JP","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Dec","doi":"10.1016/j.hrthm.2025.02.047","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40129744","name":"A 3D reconstruction platform for complex plants using OB-NeRF.","source":"pubmed","abstract":"Applying 3D reconstruction techniques to individual plants has enhanced high-throughput phenotyping and provided accurate data support for developing \"digital twins\" in the agricultural domain. High costs, slow processing times, intricate workflows, and limited automation often constrain the application of existing 3D reconstruction platforms.","url":"https://pubmed.ncbi.nlm.nih.gov/40129744/","authors":["Wu S","Hu C","Tian B","Huang Y","Yang S","Li S","Xu S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1449626","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40129687","name":"UK Longitudinal Linkage Collaboration (UK LLC): The National Trusted Research Environment for Longitudinal Research.","source":"pubmed","abstract":"The UK Longitudinal Linkage Collaboration (UK LLC) is the national Trusted Research Environment (TRE) for the UK's longitudinal research community, supporting the UK's unparalleled collection of Longitudinal Population Studies (LPS). Initially set up as a COVID-19 research resource, UK LLC is now a generic database for any research for the public good.","url":"https://pubmed.ncbi.nlm.nih.gov/40129687/","authors":["Boyd A","Evans KM","Turner EL","Flaig R","Oakley J","Campbell KC","Thomas R","McLachlan S","Crane M","Whitehorn R","Calkin R","Hill A","Berman S","Ford D","Tobin M","Porteous D","Gomes DF","Garcia MP","Wong A","Sanchez A","Orton C","Thompson S","Gulliver J","Adams K","Badrick E","Batini C","Benzeval M","Boatman S","Breen G","Bristow S","Britten A","Bryant L","Butterworth A","Campbell A","Chave S","Danesh J","Das-Munshi J","Dennison K","Angelantonio ED","Eley TC","Fisher H","Fitzsimons E","Goodman A","Gregg M","Guyatt AL","Hansell A","Harmston R","Heard A","Henderson M","Hill R","Huang SC","John C","Kee F","Kingston N","Kneeshaw J","Kumar R","Lachance G","Lockhart C","Lockhart-Jones H","Markham S","Mason D","McGuinness B","McKenzie M","McMahon A","Malouf CM","Mumme M","Neville C","Northstone K","Oldfield Z","O'Neill D","Pareek M","Pickavance J","Rahman Y","Reilly H","Scott A","Smith D","Steptoe A","Steves C","Sudlow C","Sze G","Timpson NL","Tungamirai T","Venn L","Walker M","Walker N","Wareham N","Watmuff A","Webb T","Williams K","Wright J","Yarand D","Ploubidis GB","Macleod J","Sterne JA","Chaturvedi N"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.23889/ijpds.v10i1.2468","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40128254","name":"Optimizing metabolic health with digital twins.","source":"pubmed","abstract":"A hallmark of subclinical metabolic decline is impaired metabolic flexibility, which refers to the ability to switch fuel utilization between glucose and fat according to energy demand and substrate availability. Herein, we propose optimizing metabolic health with digital twins that model an individual's metabolic flexibility profile to gamify the process of health optimization and predict long-term health outcomes. We explore key characteristics of this approach from technological and socioeconomical perspectives, with the objective of reducing the burden from metabolic disorders through driving behavior change and early detection of metabolic decline.","url":"https://pubmed.ncbi.nlm.nih.gov/40128254/","authors":["Su C","Wang P","Foo N","Ho D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 24","doi":"10.1038/s41514-025-00211-6","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40127282","name":"Striking the balance: Complexity, simplicity, and credibility in mathematical biology.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40127282/","authors":["Rodero C","Niederer SA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1073/pnas.2504067122","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40126956","name":"A Mixed Reality Car A-Pillar Design Support System Utilizing Projection Mapping.","source":"pubmed","abstract":"Projection mapping (PM) is useful in the product design process, since it seamlessly bridges a physical mockup and its digital twin by allowing designers to interactively explore new textures, colors, and shapes without the need to create new physical mockups. While PM has proven effective for car interior design, previous research focused solely on supporting the design of dashboards and instrument panels, neglecting evaluation in realistic driving scenarios. This paper introduces a self-contained car interior design support system that extends beyond the dashboard to include the A-pillars. Additionally, to enable designers to evaluate their designs in authentic driving conditions, we integrate a driving simulator, complete with a motion platform, into the PM system. Through the construction of a prototype, we demonstrate the feasibility of our proposed system. Finally, through user studies, we derive guidelines for PM-based car interior design to optimize the user experience.","url":"https://pubmed.ncbi.nlm.nih.gov/40126956/","authors":["Yoshida R","Hara T","Takeda Y","Murase K","Iwai D","Sato K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Oct","doi":"10.1109/TVCG.2025.3554037","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40124292","name":"Agri-food data spaces: Highlighting the need for a farm-centered strategy.","source":"pubmed","abstract":"This paper explores the potential of digitalisation in agriculture to improve the sustainability of agriculture production and industrial sectors, contributing to the twin digital and green transition. These systems can facilitate and enhance competitiveness by leveraging on mutually reinforcing transformations. The European Commission has proposed the creation of Common European Data Spaces in specific sectors to support such a transition. We focus on the agri-food domain, considering farmers and other actors in the food chain. The aim is to identify needs, priorities, opportunities, and barriers to a Common European Data Space for agriculture and food systems, thus going beyond the sectoral European Data Space for agriculture already under current development. In addition, this work looks at strategies for introducing the aforementioned novel data space and evidence of benefits for farmers, who are a key component of agricultural and food systems. To accomplish this, the concept of data spaces is presented, analysing main components, functions, and potential challenges and opportunities for data sharing and reuse, with the agri-food context as the main focus. It also presents current and future scenarios for data use at different decision-making levels, focusing on the specific role of farmers in the digital ecosystem. Additionally, it outlines the basic principles for an inclusive agri-food data strategy.","url":"https://pubmed.ncbi.nlm.nih.gov/40124292/","authors":["Brunori G","Bacco M","Puerta-Piñero C","Borzacchiello MT","Stormer E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.dib.2025.111388","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40121802","name":"Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins.","source":"pubmed","abstract":"Premature ventricular contractions (PVCs) represent a common and clinically significant cardiac arrhythmia, contributing to a spectrum of cardiovascular disorders. Accurate localization of the origin of PVCs is essential for devising targeted therapeutic strategies and refining our comprehension of ventricular arrhythmogenesis. Traditionally, the 12-lead ECG has been the go-to diagnostic tool for PVCs. However, individual anatomical differences and inter-patient electrophysiology variability limit its effectiveness. This study presents a new method that combines electrocardiographic imaging (ECGI) with the concept of cardiac digital twins (ECGI-DT) to improve the accuracy of pinpointing the source of PVCs. By simulating a database of PVCs, we developed an ECGI-DT capable of estimating the origins of PVCs with much greater precision than possible previously. This study shows a notable improvement in identifying the initial site of PVC origin using ECGI-DT compared to ECGI alone: the average localization error dropped from 30.69 &#xb1; 23.71 mm with standard ECGI to 7.81 &#xb1; 3.82 mm using the ECGI-DT method. This marked reduction in error highlights the potential of ECGI-DT in revolutionizing PVC diagnosis and treatment. With its ability to provide more accurate and reliable data, ECGI-DT could improve the planning of catheter ablation treatments, a preferred intervention for managing PVCs that face challenges such as high costs and in some cases long procedure times.","url":"https://pubmed.ncbi.nlm.nih.gov/40121802/","authors":["Sánchez J","Llorente-Lipe I","Espinosa CB","Loewe A","Hernández-Romero I","Vicente-Puig J","Ros S","Atienza F","Carta-Bergaz A","Climent AM","Guillem MS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.compbiomed.2025.109994","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40118111","name":"Population Health in Neurology and the Transformative Promise of Artificial Intelligence and Large Language Models.","source":"pubmed","abstract":"This manuscript examines the expanding role of population health strategies in neurology, emphasizing systemic approaches that address neurological health at a community-wide level. Key themes include interdisciplinary training in public health, policy reform, biomedical informatics, and the transformative potential of artificial intelligence (AI) and large language models (LLMs). In doing so, neurologists increasingly adopt a holistic perspective that targets the social determinants of health, integrates advanced data analytics, and fosters cross-sector collaborations-ensuring that prevention and early intervention are central to their efforts. Innovative applications, such as predictive analytics for identifying high-risk populations, digital twin technologies for simulating patient outcomes, and AI-enhanced diagnostic tools, illustrate the transition in neurology from reactive care to proactive, data-driven interventions. Examples of transformative practices include leveraging wearable health technologies, telemedicine, and mobile clinics to improve early detection and management of neurological conditions, particularly in underserved populations. These emerging methodologies expand access to care while offering nuanced insights into disease progression and community-specific risk factors. The manuscript emphasizes health disparities and ethical considerations in designing inclusive, data-driven interventions. By harnessing emerging technologies within frameworks that prioritize equity, neurologists can reduce the burden of neurological diseases, improve health outcomes, and establish a sustainable, patient-centered model of care benefiting both individuals and entire communities. This integration of technology, interdisciplinary expertise, and community engagement fosters a future where brain health is preventive, accessible, and equitable.","url":"https://pubmed.ncbi.nlm.nih.gov/40118111/","authors":["Moura Junior V","Kummer BR","Moura LMVR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1055/a-2563-9844","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40108714","name":"From virtual to reality: innovative practices of digital twins in tumor therapy.","source":"pubmed","abstract":"As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.","url":"https://pubmed.ncbi.nlm.nih.gov/40108714/","authors":["Shen S","Qi W","Liu X","Zeng J","Li S","Zhu X","Dong C","Wang B","Shi Y","Yao J","Wang B","Jing L","Cao S","Liang G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 19","doi":"10.1186/s12967-025-06371-z","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40106896","name":"Prediction of impedance characteristic during electrical stimulation with microelectrode arrays.","source":"pubmed","abstract":"Objective. Modern neural devices allow to interact with degenerated tissue in order to restore sensoric loss function and to suppress symptoms of neurodegenerative diseases using microelectronic arrays (MEA). They have a bidirectional interface for performing electrical stimulation to write-in new information and for recording the neural activity to read-out a neural task, e.g. movement ambitions. For both applications, the electrical impedance of the electrode-tissue interface (ETI) is crucial. However, the ETI can change during run-time due to encapsulation effects and changes of the neuronal structures. We investigated if an impedance spectrum can be reliably extracted from recordings during stimulation with microelectrode arrays. Approach. We present a measurement method for characterizing the electrical impedance spectrum during stimulation. We performed charge-controlled stimulation with a penetrating microelectrode array in an electrolyte solution. From the stimulation recordings, we extracted the impedance. Furthermore, a numerical model (digital twin) of the stimulation electrodes is established. Main results. We obtained consistent results for relevant electrochemical using electrochemical impedance spectroscopy, time-domain analysis and Fourier-transform-based impedance estimation. Moreover, the numerical simulations confirmed that the measured microelectrode had the expected properties. Significance. Our results pave the way to enable a live assessment of the impedance in future MEA-based neural devices. This will enable adaptive electrical stimulation or (re-)selection of recording electrodes by taking the actual state of the electrode into account.","url":"https://pubmed.ncbi.nlm.nih.gov/40106896/","authors":["Erbslöh A","Zimmermann J","Ingebrandt S","Mokwa W","Seidl K","van Rienen U","Schiele G","Kokozinski R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr 11","doi":"10.1088/1741-2552/adc2d5","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40102485","name":"Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control.","source":"pubmed","abstract":"Current control systems for autonomous surface vessels (ASVs) often disregard model uncertainties and the need to adapt dynamically to varying model parameters. This limitation hinders their ability to ensure reliable performance under complex and frequently changing maritime conditions, highlighting the need for more adaptive and robust approaches. Therefore, this study introduces an innovative approach that integrates deep reinforcement learning (DRL) with nonlinear model predictive control (NMPC) to optimize the control performance and model parameters of ASVs. The primary objective is to ensure that the digital twin of the ASV remains continuously synchronized with its physical counterpart, thereby enhancing the accuracy, reliability, and adaptability of the digital twin in representing the vessel under complex and dynamic maritime conditions. Leveraging the capabilities of digital twins, agents can be trained in safety-critical applications within a risk-free virtual environment, minimizing the hazards associated with real-world experimentation. The DRL framework optimizes NMPC by tuning its parameters for peak performance and identifying unknown model parameters in real-time, ensuring precise and dependable vessel control. Extensive simulations confirm the effectiveness of this approach in improving the safety, efficiency, and reliability of ASVs. The proposed methods address critical challenges in ASV control by enhancing reliability and adaptability under dynamic conditions, providing a foundation for future advancements in autonomous maritime navigation and control system development.","url":"https://pubmed.ncbi.nlm.nih.gov/40102485/","authors":["Berg HS","Menges D","Tengesdal T","Rasheed A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 18","doi":"10.1038/s41598-025-93635-9","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40101790","name":"Latent Class Analysis for the Identification of Phenotypes Associated with Increased Risk in Atrial Fibrillation Patients: The COOL-AF Registry.","source":"pubmed","abstract":"Patients with atrial fibrillation (AF) often have clinical complexity phenotypes. Latent class analysis (LCA) is based on the concept of modeling of both observed and unobserved (latent) variables. We hypothesized that LCA can help in identification of AF patient groups with different risk profiles and identify patients who benefit most from the Atrial fibrillation Better Care (ABC) pathway.We studied non-valvular AF patients in the prospective multicenter COOL-AF registry. The outcomes were all-cause death, ischemic stroke/systemic embolism (SSE), major bleeding, and heart failure. Components of CHA 2 DS 2 -VASc score, HAS-BLED score, and ABC pathway were recorded.A total of 3,405 patients were studied. We identified 3 LCA groups from 42 variables: LCA class 1 ( n &#x2009;=&#x2009;1,238), LCA class 2 ( n &#x2009;=&#x2009;1,790), and LCA class 3 ( n &#x2009;=&#x2009;377). Overall, the incidence rates of composite outcomes, death, SSE, major bleeding, and heart failure were 8.69, 4.21, 1.51, 2.27, and 2.84 per 100 person-years, respectively. When compared to LCA class 1, hazard ratios (HR) of composite outcome of LCA classes 3 and 2 were 3.86 (3.06-4.86) and 2.31 (1.91-2.79), respectively. ABC pathway compliance was associated with better outcomes in LCA classes 2 and 3 with the HR of 0.63 (0.51-0.76) and 0.57 (0.39-0.84), but not in LCA class 1.LCA can identify patients who are at risk of developing adverse clinical outcomes. The implementation of holistic management based on the ABC pathway was associated with a reduction in the composite outcomes as well as the individual outcomes.","url":"https://pubmed.ncbi.nlm.nih.gov/40101790/","authors":["Krittayaphong R","Treewaree S","Yindeengam A","Komoltri C","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2026 Jan","doi":"10.1055/a-2559-9994","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40101583","name":"Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.","source":"pubmed","abstract":"Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis posits that implementing micro- and nanoscale DTs, especially for biological entities like bacteria, presents substantial challenges. These challenges stem from the complexities of data extraction, transmission, and computation, along with the necessity for a specialized Internet of Things (IoT) infrastructure. To address these challenges, this article proposes a novel framework that leverages bio-network technologies, including the Internet of Bio-Nano Things (IoBNT), and decentralized deep learning algorithms such as federated learning (FL) and convolutional neural networks (CNN). The methodology involves using CNNs for robust pattern recognition and FL to reduce bandwidth consumption while enhancing security. IoBNT devices are utilized for precise microscopic data acquisition and transmission, which ensures minimal error rates. The results demonstrate a multi-class classification accuracy of 98.7% across 33 bacteria categories, achieving over 99% bandwidth savings. Additionally, IoBNT integration reduces biological data transfer errors by up to 98%, even under worst-case conditions. This framework is further supported by an adaptable, user-friendly dashboard, expanding its applicability across pharmaceutical and biotechnology industries.","url":"https://pubmed.ncbi.nlm.nih.gov/40101583/","authors":["Jamshidi MB","Hoang DT","Nguyen DN","Niyato D","Warkiani ME"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.compbiomed.2025.109970","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40101490","name":"Enhancing Circular Economy education and training for the manufacturing sector: A holistic skills framework.","source":"pubmed","abstract":"Given the need for a transition to a circular economy (CE), investing in professional training and skill development is becoming increasingly important. In this context, educational programs need to equip the new generation of workers with the crucial skills demanded by the labor market. However, there is a lack of a comprehensive and holistic vision of the skills required to develop circular systems and to align training programs accordingly. Using a multimethod research approach that includes a systematic literature review, interviews with manufacturing companies, a survey, and a market analysis of CE educational courses, a gap analysis has been conducted to identify the gaps existing between current CE courses (as-is situation) and the skills considered critical both from a theoretical and an empirical perspective (to-be situation). As a result, a framework considering skills to be fostered at Higher Education (HE) and Vocational Education and Training (VET) levels was developed. Overall, the current CE courses predominantly focus on developing technical skills related to circular product design and circular (re)manufacturing processes, while soft and digital skills are overlooked. The framework acts as a visual starting point in providing valuable recommendations on which skills CE education programs should direct their endeavour. This study can help not only academics design appropriate educational programs but also practitioners aimed at addressing the existing skills gap.","url":"https://pubmed.ncbi.nlm.nih.gov/40101490/","authors":["Trevisan AH","Boscarato A","Acerbi F","Terzi S","Sassanelli C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.jenvman.2025.124982","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096433","name":"SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure.","source":"pubmed","abstract":"To the best of our knowledge, we offer the first IoT-Osmotic simulator supporting 6G and Cloud infrastructures, leveraging the similarities in Software-Defined Wide Area Network (SD-WAN) architectures when used in Osmotic architectures and User-Centric Cell-Free mMIMO (massive multiple-input multiple-output) architectures. Our simulator acts as a simulator orchestrator, supporting the interaction with a patient digital twin generating patient healthcare data (vital signs and emergency alerts) and a VANET simulator (SUMO), both leading to IoT data streams towards the cloud through pre-initiated MQTT protocols. This contextualises our approach within the healthcare domain while showcasing the possibility of orchestrating different simulators at the same time. The combined provision of these two aspects, joined with the addition of a ring network connecting all the first-mile edge nodes (i.e., access points), enables the definition of new packet routing algorithms, streamlining previous solutions from SD-WAN architectures, thus showing the benefit of 6G architectures in achieving better network load balancing, as well as showcasing the limitations of previous approaches. The simulated 6G architecture, combined with the optimal routing algorithm and MEL (Microelements software components) allocation policy, was able to reduce the time required to route all communications from IoT devices to the cloud by up to 50.4% compared to analogous routing algorithms used within 5G architectures.","url":"https://pubmed.ncbi.nlm.nih.gov/40096433/","authors":["Gillgallon R","Almutairi R","Bergami G","Morgan G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 5","doi":"10.3390/s25051591","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096274","name":"Advanced Predictive Analytics for Fetal Heart Rate Variability Using Digital Twin Integration.","source":"pubmed","abstract":"Fetal heart rate variability (FHRV) is a critical indicator of fetal well-being and autonomic nervous system development during labor. Traditional monitoring methods often provide limited insights, potentially leading to delayed interventions and suboptimal outcomes. This study proposes an advanced predictive analytics approach by integrating approximate entropy analysis with a hidden Markov model (HMM) within a digital twin framework to enhance real-time fetal monitoring. We utilized a dataset of 469 fetal electrocardiogram (ECG) recordings, each exceeding one hour in duration, to ensure sufficient temporal information for reliable modeling. The FHRV data were preprocessed and partitioned into parasympathetic and sympathetic components based on downward and non-downward beat detection. Approximate entropy was calculated to quantify the complexity of FHRV patterns, revealing significant correlations with umbilical cord blood gas parameters, particularly pH levels. The HMM was developed with four hidden states representing discrete pH levels and eight observed states derived from FHRV data. By employing the Baum-Welch and Viterbi algorithms for training and decoding, respectively, the model effectively captured temporal dependencies and provided early predictions of the fetal acid-base status. Experimental results demonstrated that the model achieved 85% training and 79% testing accuracy on the balanced dataset distribution, improving from 78% and 71% on the imbalanced dataset. The integration of this predictive model into a digital twin framework offers significant benefits for timely clinical interventions, potentially improving prenatal outcomes.","url":"https://pubmed.ncbi.nlm.nih.gov/40096274/","authors":["Lwin TC","Zin TT","Tin P","Kino E","Ikenoue T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 27","doi":"10.3390/s25051469","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096243","name":"Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies.","source":"pubmed","abstract":"This systematic review examines the capabilities, challenges, and practical implementations of the most widely utilized and emerging sensing technologies in structural health monitoring (SHM) for infrastructures, addressing a critical research gap. While many existing reviews focus on individual methods, comprehensive cross-method comparisons have been limited due to the highly tailored nature of each technology. We address this by proposing a novel framework comprising five specific evaluation criteria-deployment suitability in SHM, hardware prerequisites, characteristics of the acquired signals, sensitivity metrics, and integration with Digital Twin environments-refined with subcriteria to ensure transparent and meaningful performance assessments. Applying this framework, we analyze both the advantages and constraints of established sensing technologies, including infrared thermography, electrochemical sensing, strain measurement, ultrasonic testing, visual inspection, vibration analysis, and acoustic emission. Our findings highlight critical trade-offs in scalability, environmental sensitivity, and diagnostic accuracy. Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. These innovations aim to overcome existing limitations by enhancing real-time monitoring, data management, and remote accessibility. This review provides actionable insights for researchers and practitioners while identifying future research opportunities to advance scalable and adaptive SHM solutions for large-scale infrastructure.","url":"https://pubmed.ncbi.nlm.nih.gov/40096243/","authors":["Mardanshahi A","Sreekumar A","Yang X","Barman SK","Chronopoulos D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 26","doi":"10.3390/s25051424","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096211","name":"Integration of Real Signals Acquired Through External Sensors into RoboDK Simulation of Robotic Industrial Applications.","source":"pubmed","abstract":"Ensuring synchronization between real-world sensor data and industrial robotic simulations remains a critical challenge in digital twin and virtual commissioning applications. This study proposes an innovative method for integrating real sensor signals into RoboDK simulations, bridging the gap between virtual models and real-world dynamics. The proposed system utilizes an Arduino-based data acquisition module and a custom Python script to establish real-time communication between physical sensors and RoboDK's simulation environment. Unlike traditional simulations that rely on predefined simulated signals or manually triggered virtual inputs, our approach enables dynamic real-time interactions based on live sensor data. The system supports both analog and digital signals and is validated through latency measurements, demonstrating an average end-to-end delay of 23.97 ms. These results confirm the feasibility of real sensor integration into RoboDK, making the system adaptable to various industrial applications. This framework provides a scalable foundation for researchers and engineers to develop enhanced simulation environments that more accurately reflect real industrial conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/40096211/","authors":["Cristoiu C","Ivan AM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 25","doi":"10.3390/s25051395","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096199","name":"A Review of Environmental Control Strategies and Models for Modern Agricultural Greenhouses.","source":"pubmed","abstract":"As crucial sites for optimizing crop growth conditions, greenhouses have gained increasing favor among scholars due to their potential to significantly enhance food production. Greenhouse control involves regulating environmental parameters such as temperature, humidity, light, and CO 2 concentration to ensure an optimal growth environment for crops while conserving energy. This paper provides an overview of various strategies for controlling greenhouse environments, encompassing structural control, environmental parameter management, and control algorithms, and points out that the integration of artificial neural networks with various optimization algorithms is a future trend. Additionally, it delves into the exploration of greenhouse microclimate models and crop growth models, noting that current models focus on some of the internal environmental parameters and that the models rely on empirical parameters. Therefore, multi-scale coupling of greenhouse models is the way forward. Furthermore, it provides insights into how to achieve sustainable energy use in greenhouses, and the application of digital twin technology in greenhouses is promising.","url":"https://pubmed.ncbi.nlm.nih.gov/40096199/","authors":["Chen S","Liu A","Tang F","Hou P","Lu Y","Yuan P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 25","doi":"10.3390/s25051388","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40096128","name":"Credibility Assessment for Digital Twins in Vehicle-in-the-Loop Test Based on Information Entropy.","source":"pubmed","abstract":"Digital twins in vehicle-in-the-loop (VIL) test has great practical significance for the functional development, testing and evaluation of intelligent vehicle. The study about the credibility assessment of dynamically evolving models still lacks effective approaches. In addition, it has rarely been studied in automotive tests. In this paper, a closed loop test of dynamic virtual and real-world interaction was built, and its characteristics are also analyzed. According to its characteristics and assessment methods, a credibility assessment methodology based on information entropy is proposed to reveal the degree of its own information confusion and structural relevance of different information, which involves ApEn and cross-ApEn. The algorithm has been successfully verified in experiments and it has been found that the inconsistent weight of the real and digital vehicle is an important factor on digital twins VIL tests. Furthermore, the effect of the length of series on the credibility assessment has been emphatically studied, and the results show that it has no more than 2% effect on the credibility assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/40096128/","authors":["Gao T","Chen L","Zhang X","Guo J","Ni D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 24","doi":"10.3390/s25051372","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40091359","name":"Validating the Virtual Calendering Process With 3D-Reconstructed Composite Electrode: An Optimization Framework for Electrode Design.","source":"pubmed","abstract":"Calendering is an essential fabrication step for lithium-ion battery electrodes, aimed at achieving the target density through mechanical compression. During this process, the electrode's microstructure significantly deforms, affecting its electrochemical performance. Therefore, it is important to understand how the microstructure evolves during calendering and correlate these changes with electrochemical behavior. Despite tremendous experimental efforts, there are limitations in obtaining sufficient outcomes. In this regard, simulations offer valuable information; however, the highest priority is to develop a reliable modeling framework that reflects actual microstructural changes and establish a robust validating methodology. Without such a framework, computational predictions may not align with experimental results. This study develops a virtual calendering framework based on high-resolution FIB-SEM tomography images of a bimodal LiNi 0.6 Co 0.2 Mn 0.2 O 2 cathode with a mass loading of 19.8&#xa0;mg&#xa0;cm -2 and 96 wt.% active material. The framework is rigorously validated through systematically designed experiments across various electrode densities (2.3-4.0&#xa0;g&#xa0;cm -3 ) and further analysis of hidden microstructural features, such as ionic tortuosity, contact area, and crack structure through additional tomography analysis. The virtual calendering framework successfully predicts microstructural changes and electrochemical performance, offering a reliable pathway for identifying optimal design parameters in a time- and cost-effective manner.","url":"https://pubmed.ncbi.nlm.nih.gov/40091359/","authors":["Lim J","Song J","Kim KG","Koo JK","Lee H","Kang D","Kim YJ","Park J","Lee YM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jul","doi":"10.1002/smll.202410485","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40091320","name":"Model-based aberration corrected microscopy inside a glass tube.","source":"pubmed","abstract":"Microscope objectives achieve near diffraction-limited performance only when used under the conditions they are designed for. In nonstandard geometries, such as thick cover slips or curved surfaces, severe aberrations arise, inevitably impairing high-resolution imaging. Correcting such large aberrations using standard adaptive optics can be challenging: existing solutions are either not suited for strong aberrations, or require extensive feedback measurements, consequently taking a significant portion of the photon budget. We demonstrate that it is possible to precompute the corrections needed for high-resolution imaging inside a glass tube based on a priori information only. Our ray-tracing-based method achieved over an order of magnitude increase in image contrast without the need for a feedback&#xa0;signal.","url":"https://pubmed.ncbi.nlm.nih.gov/40091320/","authors":["Cox DWS","Knop T","Vellekoop IM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun","doi":"10.1111/jmi.13402","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40090860","name":"Digital PCR Assay Utilizing In-Droplet Methylation-Sensitive Digestion for Estimation of Fetal cfDNA From Plasma.","source":"pubmed","abstract":"Recent guidelines suggest that non-invasive prenatal screening (NIPS) should be offered to all patients with singleton and twin pregnancies. Accurate determination of fetal fraction in cell-free DNA (cfDNA) is vital for reliable NIPS outcomes. We propose a methylation-based approach using droplet digital PCR (ddPCR) and methylation-sensitive restriction enzyme (MSRE) digestion for fetal fraction quantification as an affordable and fast solution.","url":"https://pubmed.ncbi.nlm.nih.gov/40090860/","authors":["Dannebaum R","Mikhaylichenko O","Siegel D","Li C","Hall E","Margeridon S","Herrera M","Loomis K","Riel T","Ramesh M","Gencoglu M","Hendel N","Henriquez A","Dzvova N","Abayan RJ","Lin X","Chavez M","Hanna N"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1002/pd.6774","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40089495","name":"VM-UNet++ research on crack image segmentation based on improved VM-UNet.","source":"pubmed","abstract":"Cracks are common defects in physical structures, and if not detected and addressed in a timely manner, they can pose a severe threat to the overall safety of the structure. In recent years, with advancements in deep learning, particularly the widespread use of Convolutional Neural Networks (CNNs) and Transformers, significant breakthroughs have been made in the field of crack detection. However, CNNs still face limitations in capturing global information due to their local receptive fields when processing images. On the other hand, while Transformers are powerful in handling long-range dependencies, their high computational cost remains a significant challenge. To effectively address these issues, this paper proposes an innovative modification to the VM-UNet model. This modified model strategically integrates the strengths of the Mamba architecture and UNet to significantly improve the accuracy of crack segmentation. In this study, we optimized the original VM-UNet architecture to better meet the practical needs of crack segmentation tasks. Through comparative experiments on the Crack500 and Ozgenel public datasets, the results clearly demonstrate that the improved VM-UNet achieves significant advancements in segmentation accuracy. Compared to the original VM-UNet and other state-of-the-art models, VM-UNet++ shows a 3% improvement in mDS and a 4.6-6.2% increase in mIoU. These results fully validate the effectiveness of our improvement strategy. Additionally, VM-UNet++ demonstrates lower parameter count and floating-point operations, while maintaining a relatively satisfactory inference speed. These improvements make VM-UNet++ advantageous for practical applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40089495/","authors":["Tang W","Wu Z","Wang W","Pan Y","Gan W"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 15","doi":"10.1038/s41598-025-92994-7","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40087789","name":"Integrating artificial intelligence in drug discovery and early drug development: a transformative approach.","source":"pubmed","abstract":"Artificial intelligence (AI) can transform drug discovery and early drug development by addressing inefficiencies in traditional methods, which often face high costs, long timelines, and low success rates. In this review we provide an overview of how to integrate AI to the current drug discovery and development process, as it can enhance activities like target identification, drug discovery, and early clinical development. Through multiomics data analysis and network-based approaches, AI can help to identify novel oncogenic vulnerabilities and key therapeutic targets. AI models, such as AlphaFold, predict protein structures with high accuracy, aiding druggability assessments and structure-based drug design. AI also facilitates virtual screening and de novo drug design, creating optimized molecular structures for specific biological properties. In early clinical development, AI supports patient recruitment by analyzing electronic health records and improves trial design through predictive modeling, protocol optimization, and adaptive strategies. Innovations like synthetic control arms and digital twins can reduce logistical and ethical challenges by simulating outcomes using real-world or virtual patient data. Despite these advancements, limitations remain. AI models may be biased if trained on unrepresentative datasets, and reliance on historical or synthetic data can lead to overfitting or lack generalizability. Ethical and regulatory issues, such as data privacy, also challenge the implementation of AI. In conclusion, in this review we provide a comprehensive overview about how to integrate AI into current processes. These efforts, although they will demand collaboration between professionals, and robust data quality, have a transformative potential to accelerate drug development.","url":"https://pubmed.ncbi.nlm.nih.gov/40087789/","authors":["Ocana A","Pandiella A","Privat C","Bravo I","Luengo-Oroz M","Amir E","Gyorffy B","Alberto Ocaña","Atanasio Pandiella","Cristian Privat","Iván Bravo","Miguel Luengo-Oroz"],"tags":["Computer science","Drug development","Drug discovery","Data science","Identification (biology)"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 14","doi":"10.1186/s40364-025-00758-2","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"pmid:40087492","name":"Research on the disaster mechanism and control technology of large section high waste dump slope in open pit mines.","source":"pubmed","abstract":"An important part of open-pit mining is the waste dump, where the topsoil and rocks extracted during open-pit excavation are discharged, mainly including the upper waste material and the base that carries the waste material below. Most of the external dumping sites are directly dumped on the initial surface, occupying a large area. According to the survey, the area of soil dumping sites in mining sites in countries such as the United States and Russia has reached more than half of the total mining area. This article takes the waste dump in the Dongbang area of a mine in Shanxi Province as the research object. Through numerical calculations and similar simulation methods such as friction experiments, it was found that the stability of the slopes below the 1290 step and the 1260 platform on the south side of the eastern slope of the waste dump is poor. The single step is relatively high and mainly composed of silty clay, which is compacted and prone to cracking and sliding when exposed to water. The overall stability of the slope is basically stable, and as the soil is discharged, the height of the slope increases, and supervision needs to be strengthened. If necessary, gaps should be sealed. The stability problem of slopes is still serious, and the mechanism of slope failure needs to be studied.","url":"https://pubmed.ncbi.nlm.nih.gov/40087492/","authors":["Mu H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 14","doi":"10.1038/s41598-025-93268-y","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40084159","name":"Editorial: Digital twins in medicine-transition from theoretical concept to tool used in everyday care.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40084159/","authors":["Gilbert S","Drummond D","Cotte F","Ziemssen T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdgth.2025.1573727","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"pmid:40078154","name":"Control of medical digital twins with artificial neural networks.","source":"pubmed","abstract":"The objective of precision medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data. Certain aspects of human biology, such as the immune system, are not easily captured with physics-based models, such as differential equations. Instead, they are often multi-scale, stochastic and hybrid. This poses a challenge to existing control and optimization approaches that cannot be readily applied to such models. Recent advances in neural-network control methods hold promise in addressing complex control problems. However, the application of these approaches to biomedical systems is still in its early stages. This work employs dynamics-informed neural-network controllers as an alternative approach to control of medical digital twins. As a first use case, we focus on the control of agent-based models (ABMs), a versatile and increasingly common modelling platform in biomedicine. The effectiveness of the proposed neural-network control methods is illustrated and benchmarked against other methods with two widely used ABMs. To account for the inherent stochastic nature of the ABMs we aim to control, we quantify uncertainty in relevant model and control parameters.This article is part of the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 1)'.","url":"https://pubmed.ncbi.nlm.nih.gov/40078154/","authors":["Böttcher L","Fonseca LL","Laubenbacher RC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 13","doi":"10.1098/rsta.2024.0228","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40078151","name":"Challenges and opportunities in uncertainty quantification for healthcare and biological systems.","source":"pubmed","abstract":"Uncertainty quantification (UQ) is an essential aspect of computational modelling and statistical prediction. Multiple applications, including geophysics, climate science and aerospace engineering, incorporate UQ in the development and translation of new technologies. In contrast, the application of UQ to biological and healthcare models is understudied and suffers from several critical knowledge gaps. In an era of personalized medicine, patient-specific modelling, and digital twins , a lack of UQ understanding and appropriate implementation of UQ methodology limits the success of modelling and simulation in a clinical setting. The main contribution of our review article is to emphasize the importance and current deficiencies of UQ in the development of computational frameworks for healthcare and biological systems. As the introduction to the special issue on this topic, we provide an overview of UQ methodologies, their applications in non-biological and biological systems and the current gaps and opportunities for UQ development, as later highlighted by authors publishing in the special issue.This article is part of the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 1)'.","url":"https://pubmed.ncbi.nlm.nih.gov/40078151/","authors":["Kimpton LM","Paun LM","Colebank MJ","Volodina V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 13","doi":"10.1098/rsta.2024.0232","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40078150","name":"Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.","source":"pubmed","abstract":"When predicting physical phenomena through simulation, quantification of the total uncertainty due to multiple sources is as crucial as making sure the underlying numerical model is accurate. Possible sources include irreducible aleatoric uncertainty due to noise in the data, epistemic uncertainty induced by insufficient data or inadequate parameterization and model-form uncertainty related to the use of misspecified model equations. In addition, recently proposed approaches provide flexible ways to combine information from data with full or partial satisfaction of equations that typically encode physical principles. Physics-based regularization interacts in non-trivial ways with aleatoric, epistemic and model-form uncertainty and their combination, and a better understanding of this interaction is needed to improve the predictive performance of physics-informed digital twins that operate under real conditions. To better understand this interaction, with a specific focus on biological and physiological models, this study investigates the decomposition of total uncertainty in the estimation of states and parameters of a differential system simulated with MC X-TFC, a new physics-informed approach for uncertainty quantification based on random projections and Monte Carlo sampling. After an introductory comparison between approaches for physics-informed estimation, MC X-TFC is applied to a six-compartment stiff ODE system, the CVSim-6 model, developed in the context of human physiology. The system is first analysed by progressively removing data while estimating an increasing number of parameters, and subsequently by investigating total uncertainty under model-form misspecification of nonlinear resistance in the pulmonary compartment. In particular, we focus on the interaction between the formulation of the discrepancy term and quantification of model-form uncertainty, and show how additional physics can help in the estimation process. The method demonstrates robustness and efficiency in estimating unknown states and parameters, even with limited, sparse and noisy data. It also offers great flexibility in integrating data with physics for improved estimation, even in cases of model misspecification.This article is part of the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 1)'.","url":"https://pubmed.ncbi.nlm.nih.gov/40078150/","authors":["De Florio M","Zou Z","Schiavazzi DE","Karniadakis GE"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 13","doi":"10.1098/rsta.2024.0221","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40078149","name":"A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse-wave propagation modelling.","source":"pubmed","abstract":"Computational modelling of the cardiovascular system is a promising future direction for patient-specific healthcare. However, the computational cost of these simulators is a bottleneck for their practical use in clinic for real-time digital twins . Emulation can overcome this, yet an extensive investigation into cardiovascular emulators is warranted. In this study, we emulate two one-dimensional haemodynamics models of the pulmonary circulation and compare two common emulation strategies: Gaussian processes (GPs) and polynomial chaos expansions (PCEs). We start by reducing the parameter space of the models through global sensitivity analysis, and then compare both emulation strategies using a multivariate, time-series output quantity of interest and a reduced representation using principal component analysis. We compare the emulators in both forward emulation on test data, as well as in their ability to infer parameters in the inverse problem. Our results indicate that GPs slightly outperform PCEs consistently across every comparison, and that a similar performance is obtained for the emulators of the time-dependent output and reduced output.This article is part of the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 1)'.","url":"https://pubmed.ncbi.nlm.nih.gov/40078149/","authors":["Paun LM","Colebank MJ","Husmeier D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 13","doi":"10.1098/rsta.2024.0222","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40077336","name":"Investigation on Improving the Hot Corrosion Resistance of Selective Laser Melting Manufactured Inconel 625 by Pre-Oxidation Heat Treatment.","source":"pubmed","abstract":"The present study was focused on assessing the molten salt-induced hot corrosion resistance of selective laser melting (SLM) manufactured Inconel 625 at 900 &#xb0;C for 96 h and investigating the possibility of improving the superalloy's corrosion resistance by applying a pre-oxidation heat treatment. The material's hot corrosion properties were assessed in a heat-treated state (heat treatments performed at 1000 &#xb0;C/1 h and 1150 &#xb0;C/1 h, respectively) with and without pre-oxidation. The heat treatment at 1000 &#xb0;C promoted the columnar dendrite morphology evolution, while the heat treatment at 1150 &#xb0;C promoted the equiaxed dendrite morphology evolution. At 1150 &#xb0;C, microstructural features specific to conventional manufactured material developed (annealing twin boundaries). They are considered a sign of anisotropy reduction due to equiaxed grains forming and it is believed that the internal stress in the material is reduced. High-temperature pre-oxidation heat treatment at 900 &#xb0;C for 96 h ensured the formation of protective oxide scales with a reduced thickness (1.74 &#x3bc;m in the case of samples' heat-treated at 1000 &#xb0;C, and 2.22 &#x3bc;m in the case of samples' heat-treated at 1150 &#xb0;C, respectively). Experimentally, based on weight gain and oxide scale analysis, it was proven that pre-oxidation can improve the hot corrosion resistance of SLM manufactured Inconel 625 by forming a stable and protective oxide scale on the surface of the alloy before exposure to molten salts. The preformed oxide layer acts as a barrier for the corrosive species, reducing the formation of detrimental compounds, especially Mo-rich sulfides. Based on the tests, an improvement in corrosion resistance of up to 33.94% was observed in samples heat-treated at 1150 &#xb0;C with pre-oxidation compared to samples heat-treated at 1000 &#xb0;C without pre-oxidation.","url":"https://pubmed.ncbi.nlm.nih.gov/40077336/","authors":["Badea TA","Condruz MR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 28","doi":"10.3390/ma18051111","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40077299","name":"Current Methods and Technologies for Storage Tank Condition Assessment: A Comprehensive Review.","source":"pubmed","abstract":"This study investigates the current industry practices for storage tank assessment and the possibilities for improving inspection methods using the latest technologies on the market. This article presents the main methods and technologies for non-destructive testing (NDT), along with new methods that make them more efficient and economical. To further analyze the state of a tank and determine its lifetime expectancy, analysis methods are presented based on NDT results. The key aspects that can be improved and made more efficient are NDT procedures using robots/drones and autonomous devices; automated inspection procedures, like remote video inspection combined with local thickness measurement or 3D scanning of the tank elements for deformations; advanced analysis methods using the input from the NDT and inspection data collected using analytical calculations according to applicable standards; Finite Element Analysis (FEA); and digitalized models of equipment (Digital Twin) accompanied by artificial intelligence for data processing. The best way to make the process more efficient is to develop and use dedicated standardized software for tank condition assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/40077299/","authors":["Stoicescu AA","Ripeanu RG","Tănase M","Toader L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 27","doi":"10.3390/ma18051074","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40076152","name":"PLA Reinforced with Limestone Waste: A Way to Sustainable Polymer Composites.","source":"pubmed","abstract":"Waste stone sludge generated by the extractive industry has traditionally posed significant disposal challenges. This study redefines stone sludge as a valuable raw material by incorporating it into polylactic acid (PLA) to create sustainable composite materials. Pellets and filaments composed of up to 50% by weight of limestone powder and PLA were successfully produced using melt blending in a twin-screw extruder. Scanning electron microscopy (SEM), X-ray fluorescence (XRF), and X-ray diffraction (XRD) analyses revealed a uniform distribution of stone particles within the PLA matrix and confirmed the chemical and structural compatibility of the components. Thermogravimetric analysis (TGA) showed that the composites retained thermal stability, while mechanical testing demonstrated significant enhancements in stiffness, with an increase in elastic modulus for composites containing 50% limestone powder. The melt flow rate (MFR) decreases with increasing filler content. The brittleness also increased, reducing impact resistance. Mechanical tests were performed on injected and 3D-printed specimens. The filament produced was successfully used in 3D printing, with a small XYZ calibration cube.","url":"https://pubmed.ncbi.nlm.nih.gov/40076152/","authors":["Sousa D","Baleia C","Amaral P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 28","doi":"10.3390/polym17050662","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40074807","name":"Adaptive digital twin integration with multilevel inverter control for energy efficient smart rehabilitation systems.","source":"pubmed","abstract":"This research proposes an innovative framework integrating adaptive Digital Twin (DT) models with Multi-Level Inverter (MLI) control to improve energy efficiency in advanced rehabilitation systems. By utilizing real-time monitoring and adaptive adjustment of power parameters through DT technology, the method achieves precise and dynamic control of devices such as prosthetics and exoskeletons. The incorporation of MLI ensures smooth and efficient power delivery, reducing harmonic distortion and enhancing overall energy utilization. Key outcomes include a 14.05% increase in energy efficiency, an 8.12% decrease in power ripple, and a 24.03% improvement in system response accuracy, enabling real-time optimization tailored to patient-specific rehabilitation needs. Furthermore, the proposed approach lowers operational costs by 7.01% through optimized energy usage and extended system lifespan. These results highlight the potential of this innovative method to advance rehabilitation systems through the integration of adaptive control and real-time digital modeling.","url":"https://pubmed.ncbi.nlm.nih.gov/40074807/","authors":["Rashid SM","Ghiasi AR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 12","doi":"10.1038/s41598-025-92931-8","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40073206","name":"Atrial fibrillation burden in clinical practice, research, and technology development: a clinical consensus statement of the European Society of Cardiology Council on Stroke and the European Heart Rhythm Association.","source":"pubmed","abstract":"Atrial fibrillation (AF) is one of the most common cardiac diseases and a complicating comorbidity for multiple associated diseases. Many clinical decisions regarding AF are currently based on the binary recognition of AF being present or absent with the categorical appraisal of AF as continued or intermittent. Assessment of AF in clinical trials is largely limited to the time to (first) detection of an AF episode. Substantial evidence shows, however, that the quantitative characteristic of intermittent AF has a relevant impact on symptoms, onset, and progression of AF and AF-related outcomes, including mortality. Atrial fibrillation burden is increasingly recognized as a suitable quantitative measure of intermittent AF that provides an estimate of risk attributable to AF, the efficacy of antiarrhythmic treatment, and the need for oral anticoagulation. However, the diversity of assessment methods and the lack of a consistent definition of AF burden prevent a wider clinical applicability and validation of actionable thresholds of AF burden. To facilitate progress in this field, the AF burden Consensus Group, an international and multidisciplinary collaboration, proposes a unified definition of AF burden. Based on current evidence and using a modified Delphi technique, consensus statements were attained on the four main areas describing AF burden: Defining the characteristics of AF burden, the recording principles, the clinical relevance in major clinical conditions, and implementation as an outcome in the clinic and in clinical trials. According to this consensus, AF burden is defined as the proportion of time spent in AF expressed as a percentage of the recording time, undertaken during a specified monitoring duration. A pivotal requirement for validity and comparability of AF burden assessment is a continuous or near-continuous duration of monitoring that needs to be reported together with the AF burden assessment. This proposed unified definition of AF burden applies independent of comorbidities and outcomes. However, the disease-specific actionable thresholds of AF burden need to be defined according to the targeted clinical outcomes in specific populations. The duration of the longest episode of uninterrupted AF expressed as a time duration should also be reported when appropriate. A unified definition of AF burden will allow for comparability of clinical study data to expand evidence and to establish actionable thresholds of AF burden in various clinical conditions. This proposed definition of AF burden will support risk evaluation and clinical treatment decisions in AF-related disease. It will further promote the development of clinical trials studying the clinical relevance of intermittent AF. A unified approach on AF burden will finally inform the technology development of heart rhythm monitoring towards validated technology to meet clinical needs.","url":"https://pubmed.ncbi.nlm.nih.gov/40073206/","authors":["Doehner W","Boriani G","Potpara T","Blomstrom-Lundqvist C","Passman R","Sposato LA","Dobrev D","Freedman B","Van Gelder IC","Glotzer TV","Healey JS","Karapanayiotides T","Lip GYH","Merino JL","Ntaios G","Schnabel RB","Svendsen JH","Svennberg E","Wachter R","Haeusler KG","Camm AJ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 5","doi":"10.1093/europace/euaf019","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40070452","name":"From traditional robotic deployments towards assisted robotic deployments in nuclear decommissioning.","source":"pubmed","abstract":"The history around teleoperation and deployment of robotic systems in constrained and dangerous environments such as nuclear is a long and successful one. From the 1940s, robotic manipulators have been used to manipulate dangerous substances and enable work in environments either too dangerous or impossible to be operated by human operators. Through the decades, technical and scientific advances have improved the capabilities of these devices, whilst allowing for more tasks to be performed. In the case of nuclear decommissioning, using such devices for remote inspection and remote handling has become the only solution to work and survey some areas. Such applications deal with challenging environments due to space constrains, lack of up-to-date structural knowledge of the environment and poor visibility, requiring much training and planning to succeed. There is a growing need to speed these deployment processes and to increase the number of decommissioning activities whilst maintaining high levels of safety and performance. Considering the large number of research and innovation being done around improving robotic capabilities, numerous potential benefits could be made by translating them to the nuclear decommissioning use cases. We believe such innovations, in particular improved feedback mechanisms from the environment during training and deployments (i.e., Haptic Digital Twins) and higher modes of assisted or supervised control (i.e., Semi-autonomous operation) can play a large role. We list some of the best practices currently being followed in the industry around teleoperation and robotic deployments and the potential benefits of implementing the aforementioned innovations.","url":"https://pubmed.ncbi.nlm.nih.gov/40070452/","authors":["Lopez Pulgarin EJ","Hopper D","Montgomerie J","Kell J","Carrasco J","Herrmann G","Lanzon A","Lennox B"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1432845","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40070217","name":"Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality.","source":"pubmed","abstract":"With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric nanogenerators (TENG) and machine learning algorithms to enhance user immersion and interaction. Various TENG negative electrode materials are evaluated to improve sensor performance, and the efficacy of a single sensor is confirmed. For accurate facial movement and emotion detection, different machine learning algorithms are assessed, leading to the selection of an advanced data processing method with a two-layer long short-term memory model, which achieves 99.87% accuracy. The practical applications of the FRM system in virtual reality, including psychotherapy and HMI scenarios, are validated through mathematical models. Additionally, a digital twin-based monitoring platform is developed using 5G, database, and visualization technologies to oversee the user status. Overall, these innovative approaches overcome the limitations of existing face recognition technologies, including environmental interference and high cost, compared with other facial recognition technologies.","url":"https://pubmed.ncbi.nlm.nih.gov/40070217/","authors":["He D","Chen H","Zhao X","Fan C","Xiong K","Zhang Y","Zhang Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 26","doi":"10.1021/acsami.5c01936","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40069418","name":"How a vast digital twin of the Yangtze River could prevent flooding in China.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40069418/","authors":["Wang X","Wu B","Zhou G","Wang T","Meng F","Zhou L","Cao H","Tang Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1038/d41586-025-00720-0","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40068394","name":"Quantifying, predicting, and mitigating nitrous oxide emissions in a full-scale partial nitritation/anammox reactor treating reject water.","source":"pubmed","abstract":"In this paper, a set of mathematical tools are developed and assembled to quantify, predict and virtually assess N 2 O emission mitigation strategies in partial nitritation (PN) / anammox (ANX) granular based reactors. The proposed approach is constructed upon a set of data pre-treatment methods, process simulation models, control tools (and algorithms) and key performance indicators to analyze, reproduce, and forecast the behavior of multiple operational variables within aerobic granular sludge systems. All these elements are tested on two full-scale data sets (#D1, #D2) collected over a period of four months (Sept-Dec 2023). Results show that data pretreatment is essential for noise reduction, filling data gaps, and ensuring smooth process simulations. The model accurately predicts (normalized RMSE&lt; 1) multiple N oxidation states (NH x , NO 2 - , NO 3 - , N 2 O) and dissolved oxygen (DO), demonstrating its capability to describe bacterial behavior within the studied system. Special emphasis is placed on weak acid-base chemistry where pH is reliably reproduced, and it can be used for control purposes. Both biological and physico-chemical aspects are predicted at different time scales (months, days, minutes). While nitritation mainly occurred in the bulk, biofilm distribution showed inactive inner granule parts and increasing biomass (mostly ANX) towards the surface, with distinct organic concentrations. Gradients for multiple soluble compounds could also be reflected. Nitrifier denitrification (ND) is identified as the main N 2 O production pathway. The model revealed that the system was suffering from low ANX activity leading to NO 2 - accumulation. This in combination with low DO levels resulted in an unusually high emission factor (EF). The validation data set also yielded satisfactory results (normalized RMSE&lt; 1). The scenario analysis revealed that modification of the operational parameters could improve the ANX activity and lead to N 2 O emission rates that are in line with what is normally expected from similar systems. The study includes a discussion on transitioning from process models to digital shadows/ twins for real-time process monitoring. Additionally, it emphasizes the necessity of evaluating reject water technologies from a plant-wide perspective.","url":"https://pubmed.ncbi.nlm.nih.gov/40068394/","authors":["Flores-Alsina X","Vangsgaard AK","Uri-Carreño N","Nielsen PH","Gernaey KV"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun 15","doi":"10.1016/j.watres.2025.123200","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40067156","name":"Sensing the Future of Thrombosis Management: Integrating Vessel-on-a-Chip Models, Advanced Biosensors, and AI-Driven Digital Twins.","source":"pubmed","abstract":"Thrombotic events, such as strokes and deep vein thrombosis, remain a significant global health burden, with traditional diagnostic methods often failing to capture the complex, patient-specific nuances of thrombosis risk. This Perspective explores the revolutionary potential of microengineered vessel-on-chip platforms in thrombosis research and personalized medicine. We discuss the evolution from basic microfluidic channels to advanced 3D-printed, patient-specific models that accurately replicate complex vascular geometries, incorporating all elements of Virchow's triad. Integrating these platforms with cutting-edge sensing technologies, including wearable ultrasonic devices and electrochemical biosensors, enables real-time monitoring of thrombosis-related parameters. Crucially, we highlight the transformative role of artificial intelligence and digital twin technology in leveraging vast patient-specific data collected from these models. This integration allows for the development of predictive algorithms and personalized digital twins, offering unprecedented thrombosis risk assessment, treatment optimization, and drug screening capabilities. The clinical relevance and validation of these models are examined, showcasing their potential to predict thrombotic events and guide personalized treatment strategies. While challenges in scalability, standardization, and regulatory approval persist, the convergence of vessel-on-chip platforms, advanced sensing, and AI-driven digital twins promises to revolutionize thrombosis management. This approach paves the way for a new era of precision cardiovascular care, offering noninvasive, predictive, and personalized strategies for thrombosis prevention and treatment, ultimately improving patient outcomes and reducing the global burden of cardiovascular diseases.","url":"https://pubmed.ncbi.nlm.nih.gov/40067156/","authors":["Zhao YC","Wang Z","Zhao H","Yap NA","Wang R","Cheng W","Xu X","Ju LA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 28","doi":"10.1021/acssensors.4c02764","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40066469","name":"3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy.","source":"pubmed","abstract":"Objective 3D virtual models have gained interest in urology, particularly in the context of robotic partial nephrectomy. From these, newly developed \"anatomical digital twin models\" reproduce both the morphological and anatomical characteristics of the organs, including the texture of the tissues they comprise. The aim of the study was to develop and test the new digital twins in the setting of intraoperative guidance during robotic-assisted partial nephrectomy (RAPN). Patient and Methods The production path of the 3D model-digital twin of an organ begins with a phantom of virtual elements, including the kidney's parenchyma, vessels, tumour and collecting system. Textures are created from intraoperative robotic surgery images using machine learning algorithms. The result is a 3D model - digital twin that replicates the organ's shape and appearance. Two surgeons, one experienced and one young, used both the standard 3D model and the digital twin in four surgical phases: identifying the organ and its boundaries, dissecting the vascular pedicle, isolating the neoplastic lesion and identifying the renal pelvis and ureter. Results 4 patients, 2 per each surgeon harbouring a low and intermediate complexity (PADUA 6 and 8) renal masses respectively, underwent RAPN. From the assessment made by the surgeons at the end of each procedure, the 3D digital twin models were found to be superior to their standard counterparts both in terms of concordance with real anatomy and in usefulness to guide the identification of the tumour, vascular pedicle and ureter, while they did not demonstrate significant advantages in identifying the kidney and its margins. Conclusions The new 3D digital twin models represent a step forward towards the personalization of virtual reconstructions. Approaching real anatomy more closely, they offer the surgeons a perceived higher degree of concordance with the intraoperative environment, making it easier to identify the structures of interest during the surgical procedure.","url":"https://pubmed.ncbi.nlm.nih.gov/40066469/","authors":["Amparore D","Piana A","Piramide F","De Cillis S","Checcucci E","Fiori C","Porpiglia F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1002/bco2.453","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:40066281","name":"In silico oncology: a mechanistic multiscale model of clinical prostate cancer response to external radiation therapy as the core of a digital (virtual) twin. Sensitivity analysis and a clinical adaptation approach.","source":"pubmed","abstract":"Prostate cancer (PCa) is the most frequent diagnosed malignancy in male patients in Europe and radiation therapy (RT) is a main treatment option. However, current RT concepts for PCa have an imminent need to be rectified in order to modify the radiotherapeutic strategy by considering (i) the personal PCa biology in terms of radio resistance and (ii) the individual preferences of each patient.","url":"https://pubmed.ncbi.nlm.nih.gov/40066281/","authors":["Stamatakos G","Kolokotroni E","Panagiotidou F","Tsampa S","Kyroudis C","Spohn S","Grosu AL","Baltas D","Zamboglou C","Sachpazidis I"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fphys.2025.1434739","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40064176","name":"Artificial intelligence and gender equity: An integrated approach for health professional education.","source":"pubmed","abstract":"As artificial intelligence (AI) increasingly integrates into health workplaces, evidence suggests AI can exacerbate gender inequity. Health professional programmes have a role to play in ensuring graduates grasp the challenges facing working in an AI-mediated world.","url":"https://pubmed.ncbi.nlm.nih.gov/40064176/","authors":["Bearman M","Ajjawi R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Oct","doi":"10.1111/medu.15657","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40063872","name":"Anatomy education potential of the first digital twin of a Korean cadaver.","source":"pubmed","abstract":"The objective of this study is to explore innovative integration within the field of anatomy education by leveraging HoloLens 2 Augmented Reality Head-Mounted Display (AR HMD) technology and real-time cloud rendering. Initial 3D datasets, comprising extensive anatomical information for each bone, were obtained through the 3D scanning of a full-body cadaver of Korean male origin. Subsequently, these datasets underwent refinement processes aimed at enhancing visual fidelity and optimizing polygon counts, utilizing Blender software. Unity was employed for the development of the Metaverse platform, incorporating tailored 3D User Experience (UX) and User Interface (UI) components to facilitate interactive anatomy education via imported cadaver models. Integration with real-time remote rendering cloud servers, such as Azure, was implemented to augment the performance and rendering capabilities of the HoloLens 2 AR HMD. The extended reality (XR) content uses the Photon Cloud network for real-time data synchronization and HoloLens 2 voice functionality. The metaverse platform supports user interaction through room creation and joining, with various tools for bone manipulation, color differentiation, and surface output. Collaboration features enable sharing and synchronization of model states. The study highlights the importance of technological innovation in anatomy education for future medical professionals. The proposed content aims to address limitations of traditional methods and enhance learning experiences. Continued efforts in developing and improving such technologies are crucial to equip learners with essential skills for adaptation in the evolving healthcare landscape.","url":"https://pubmed.ncbi.nlm.nih.gov/40063872/","authors":["Choi SY","Choi DH","Cho SH","Ahn SH","Han SH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0305679","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40061122","name":"Validating the predictions of mathematical models describing tumor growth and treatment response.","source":"pubmed","abstract":"Despite advances in methods to interrogate tumor biology, the observational and population-based approach of classical cancer research and clinical oncology does not enable anticipation of tumor outcomes to hasten the discovery of cancer mechanisms and personalize disease management. To address these limitations, individualized cancer forecasts have been shown to predict tumor growth and therapeutic response, inform treatment optimization, and guide experimental efforts. These predictions are obtained via computer simulations of mathematical models that are constrained with data from a patient's cancer and experiments. This book chapter addresses the validation of these mathematical models to forecast tumor growth and treatment response. We start with an overview of mathematical modeling frameworks, model selection techniques, and fundamental metrics. We then describe the usual strategies employed to validate cancer forecasts in preclinical and clinical scenarios. Finally, we discuss existing barriers in validating these predictions along with potential strategies to address them.","url":"https://pubmed.ncbi.nlm.nih.gov/40061122/","authors":["Lorenzo G","Hormuth DA 2nd","Wu C","Pash G","Chaudhuri A","Lima EABF","Okereke LC","Patel R","Willcox K","Yankeelov TE"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 26","doi":"","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40058413","name":"Coprime dual-velocity encoding for extended velocity dynamic range in 4D flow magnetic resonance imaging.","source":"pubmed","abstract":"In the field of cardiovascular imaging, four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) provides non-invasive assessment of blood flow. Dual velocity encoding (dual-VENC) strategies have emerged to obtain quantitative information on both low and high blood flow velocities simultaneously. However, these strategies often encounter difficulties in coping with large velocity ranges. This work presents a dual-VENC 4D flow CMR sequence that utilizes the coprime rule to define the VENC ratio.","url":"https://pubmed.ncbi.nlm.nih.gov/40058413/","authors":["Bartoli MB","Boccalini S","Chechin D","Boussel L","Douek P","Garcia D","Sigovan M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Summer","doi":"10.1016/j.jocmr.2025.101871","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40058077","name":"Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins.","source":"pubmed","abstract":"Human cardiac Cardiac digital twins (CDTs) are digital replicas of patient hearts, designed to match clinical observations precisely. The electro-cardiogram (ECG), as the most common non-invasive electrophysiology (EP) measurement, has been recently successfully employed for calibrating CDT. However, ECG-based calibration methods often fail to account for the inherent uncertainties in clinical data acquisition and CDT anatomical generation workflows. As a result, discrepancies inevitably arise between the actual physical and simulated patient EP and ECG. In this study, we aim to qualitatively and quantitatively analyze the impact of these uncertainties on ECG morphology and diagnostic markers, and therefore to assess the reliability of ECG-based CDT calibration. We analyze residual beat-to-beat variability in ECG recordings obtained from three datasets, including healthy subjects and patients treated for ventricular tachycardia and atrial fibrillation. Using a biophysically detailed and anatomically accurate computational model of whole-heart EP combined with a detailed torso model calibrated to closely replicate measured ECG signals, we vary anatomical factors (heart location, orientation, size), heterogeneity in electrical conductivities in the heart and torso, and electrode placements across ECG leads to assess their qualitative impact on ECG morphology. Our study demonstrates that diagnostically relevant ECG features and overall morphology remain close to the ground through ECG independently of the investigated uncertainties. This resilience is consistent with the narrow distribution of ECG due to residual beat-to-beat variability observed in both healthy subjects and patients. Overall, our results suggest that observation uncertainties do not impede an accurate calibration of the CDT.","url":"https://pubmed.ncbi.nlm.nih.gov/40058077/","authors":["Zappon E","Gsell MAF","Gillette K","Plank G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.compbiomed.2025.109930","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40052879","name":"Closed-Loop Navigation of a Kinetic Zone Diagram for Redox-Mediated Electrocatalysis Using Bayesian Optimization, a Digital Twin, and Automated Electrochemistry.","source":"pubmed","abstract":"Molecular electrocatalysis campaigns often require tuning multiple experimental parameters to obtain kinetically insightful electrochemical measurements, a prohibitively time-consuming task when performing comprehensive studies across multiple catalysts and substrates. In this work, we present an autonomous workflow that combines Bayesian optimization and automated electrochemistry to perform fully unsupervised cyclic voltammetry (CV) studies of molecular electrocatalysis. We developed CV descriptors that leveraged the conceptual framework of the EC' (where EC' denotes an electrochemical step followed by a catalytic chemical step) kinetic zone diagram to enable efficient Bayesian optimization. The CV descriptor's effect on optimization performance was evaluated using a digital twin of our autonomous experimental platform, quantifying the accuracy of obtained kinetic values against the known ground truth. We demonstrated our platform experimentally by performing autonomous studies of TEMPO-catalyzed ethanol and isopropanol electro-oxidation, demonstrating rapid identification of kinetically insightful conditions in 10 or less iterations through the closed-loop workflow. Overall, this work highlights the application of autonomous electrochemical platforms to accelerate mechanistic studies in molecular electrocatalysis and beyond.","url":"https://pubmed.ncbi.nlm.nih.gov/40052879/","authors":["Pence MA","Hazen G","Rodríguez-López J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr 1","doi":"10.1021/acs.analchem.5c00099","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40044776","name":"A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities.","source":"pubmed","abstract":"Smart cities are designed to improve the quality of life by efficiently using resources and smart parking is an important part of this puzzle to help alleviate traffic congestion and efficiently address energy consumption and search time for parking spaces. However, existing parking management systems have issues with resource management, system scalability, and real-time dynamic changes. In response to these challenges, this paper proposes a Multi-Objective Optimization Framework for Smart Parking incorporating Digital Twin Technology, Pareto Front Optimization, Markov Decision Process (MDP), and Particle Swarm Optimization (PSO). Hence, the proposed framework utilizes Digital Twin whereby there is a generation of a virtual model of the existing parking infrastructure that can give a real-time prospective estimation of the entire system. The Pareto Front is then used for multi-objective optimization of the search domain, where the goal is to minimize the search time, use of energy, and traffic disruption, and maximize the availability of parking spaces. The MDP splits the resource allocation problem into a value function which can then model the real-time parking requests. Further, PSO refines the solutions found from the Pareto front for a globally superior distribution. The framework is evaluated using extensive simulations across multiple metrics: search time, energy, congestion level, scalability, and utilization. Evaluation outcomes also show that the proposed algorithm is better than Round Robin, Random Allocation, and Threshold Based algorithms in terms of 25% improvement in the search time, 18% better energy usage, and 30% less traffic congestion. This work has shown the prospects of combining hybrid optimization and real-time decision-making in the enhancement of parking management in smart cities for better efficiency in urban mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/40044776/","authors":["Sahu D","Sinha P","Prakash S","Yang T","Rathore RS","Wang L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 5","doi":"10.1038/s41598-025-91565-0","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40044760","name":"All-day cloud property and occurrence probability dataset based on satellite remote sensing data.","source":"pubmed","abstract":"The cloud property database and different type cloud occurrence probability datasets are helpful for meteorological research and application, as well as climate comprehension. Building on the foundation of CldNet with all-day cloud type recognition capability, CldNet Version 2.0 (CldNetV2) is proposed. This enhanced version leverages transfer learning and model parameter sharing techniques to not only classify cloud types but also predict additional cloud properties. Datasets with multiple cloud properties obtained by CldNetV2 make up for the lack of current Himawari cloud product at nighttime. Meanwhile, the dataset of different cloud type occurrence probabilities is statistically obtained on three time scales including annual, seasonal, and monthly, and more importantly, the dataset distinguishes between all day, daytime, and nighttime. In addition, the reliability of our cloud product is independently validated by the cloud properties from CALIPSO trajectories, ERA5 cloud cover fraction and the visualization of cloud property distribution and typhoon eye track during typhoons. Further more, the all-day cloud property and occurrence probability dataset for meteorological environment assessment has been publicly released.","url":"https://pubmed.ncbi.nlm.nih.gov/40044760/","authors":["Nie L","Chen Y","Zhang D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 5","doi":"10.1038/s41597-025-04659-9","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40043194","name":"Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning.","source":"pubmed","abstract":"Membrane fouling remains a significant challenge in the operation of membrane bioreactors (MBRs). Plant operators rely heavily on observations of filtration performance from noisy sensor data to assess membrane fouling conditions and lab-based protocols for plant maintenance, often leading to inaccurate estimations of future performance and delayed membrane cleaning. This challenge is further compounded by the difficulty in integrating existing complex mechanistic models with the Internet of Things (IoT) systems of wastewater treatment plants (WWTPs). By harnessing data obtained from WWTPs, along with innovative data denoising and model training strategies, we developed a machine learning application (MBR-Net) that is capable of forecasting membrane fouling, as indicated by permeability, for a full-scale submerged MBR plant in real time. We show that the trained model can effectively predict one-day-ahead changes in irreversible fouling under different desired fluxes, cleaning conditions and feedwater conditions (with MAPE &lt; 6.45%, MAE &lt; 3.71 LMH bar -1 , and R 2 &gt; 0.87 on two independent testing sets). Although data availability presented certain limitations in the model development process, the current results demonstrate the significant value of machine learning in membrane fouling predictions and in providing decision support for fouling mitigation strategies in full-scale WWTPs.","url":"https://pubmed.ncbi.nlm.nih.gov/40043194/","authors":["Zhu Y","Wang Y","Zhu E","Ma Z","Wang H","Chen C","Guan J","Waite TD"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May 27","doi":"10.1021/acs.est.4c12835","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40041619","name":"A digital-twin platform for cryospheric disaster warning.","source":"pubmed","abstract":"With increasing glacial hazards due to global climate warming, a promising digital-twin-based platform has been proposed for early warning of cryospheric disasters.","url":"https://pubmed.ncbi.nlm.nih.gov/40041619/","authors":["Cui Y","Li Y","Tang H","Turowski JM","Yan Y","Bazai NA","Wei R","Li L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct","doi":"10.1093/nsr/nwae300","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40039549","name":"Hemodynamics comparison of an hour-long rest and activity state data in a human coronary digital twin.","source":"pubmed","abstract":"Although it is well established that hemodynamics can significantly influence the location and progression of cardiovascular disease (CVD), and 3D blood flow metrics are recognized as potential diagnostic indicators of these diseases, the dynamics of these metrics over time and their variation at different activity levels are not well understood. A relevant example is the impact of exercise on the vascular system over extended periods. Although exercise is widely recognized as a preventive measure of heart disease, the specifics of how activity levels and subsequent alterations in blood flow contribute to the mechanisms that drive CVD remain unclear. In this study, we used a digital coronary twin to establish a longitudinal hemodynamic map (LHM) of the rest and exercise states. An hour-long dataset for both the rest and exercise states, acquired from a wearable device for a single patient, was used to drive a complex 3D fluid dynamics simulation. Hemodynamic metrics such as maximum velocity, average velocity, maximum wall shear stress, average wall shear stress, time-averaged wall shear stress, and pressure gradient were compared between the two states. This analysis represents an initial step toward understanding how long-term exercise regimens can influence hemodynamic changes and potentially reduce the risk of cardiovascular disease. Our findings revealed that the maximum wall shear stress exhibited the highest sensitivity to changes in activity level, while the pressure gradient showed the least variability. This study contributes significantly to quantifying how 3D blood flow metrics differ between rest and active states, providing valuable insight regarding exercise-induced hemodynamic alterations and their potential role in mitigating CVD risk.","url":"https://pubmed.ncbi.nlm.nih.gov/40039549/","authors":["Mavi JK","Tanade C","Ladd W","Geddes J","Khan NS","Randles A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Jul","doi":"10.1109/EMBC53108.2024.10782436","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40037807","name":"Digital twins for trans people in healthcare: queer, phenomenological and bioethical considerations.","source":"pubmed","abstract":"Healthcare is one of the domains in which artificial intelligence (AI) is already having a major impact. Of interest is the idea of the digital twin (DT), an AI-powered technology that generates a real-time representation of the patient's body, offering the possibility of more personalised care. Our main thesis in this paper is that the DT does not merely represent the patient's body but produces a specific body. We argue, from a philosophical perspective and an ethical-phenomenological approach, that the virtual body created by the DT has a major impact on one's self-understanding, having consequences for gender expression and identification, and for health. This has deep implications for people who do not conform to gender normativity, for example, trans individuals. We advocate that, with thoughtful development, DT technology can and should be empowering, contributing to better addressing the diversity of bodies and facilitating trans people's experience in healthcare contexts.","url":"https://pubmed.ncbi.nlm.nih.gov/40037807/","authors":["Guerrero Quiñones JL","Puzio A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Nov 21","doi":"10.1136/jme-2024-110403","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40037796","name":"Risk of major cardiovascular events and all-cause death in patients with bronchiectasis and associated resistance to antimicrobial drugs.","source":"pubmed","abstract":"To assess the impact of antimicrobial resistance (AMR) on major adverse cardiovascular event (MACE) risk in patients with bronchiectasis.","url":"https://pubmed.ncbi.nlm.nih.gov/40037796/","authors":["Bucci T","Guo R","Yiu KH","Lip GYH","Frost F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Oct 28","doi":"10.1093/eurjpc/zwaf122","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40036828","name":"Evidence for intermittent coupling of intramyocardial small, engineered heart tissues acutely implanted into rabbit myocardium.","source":"pubmed","abstract":"Electrical integration of human-induced pluripotent stem-cell-derived cardiomyocyte (hiPSC-CM)-based tissue with the host myocardium is a requirement of successful regeneration therapy. This study was designed to identify electrical coupling in the acute phase (1-2&#x2005;h) post-grafting using an ex vivo model.","url":"https://pubmed.ncbi.nlm.nih.gov/40036828/","authors":["Huethorst E","Bishop MJ","Burton FL","Denning C","Gadegaard N","Myles RC","Smith GL"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Sep 29","doi":"10.1093/cvr/cvaf034","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40034823","name":"Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women.","source":"pubmed","abstract":"Pregnant women represent a vulnerable group in pharmaceutical research due to limited knowledge about drug metabolism and safety of commonly used corticosteroids like prednisone due to ethical and practical constraints. Current preclinical models, including animal studies, fail to accurately replicate human pregnancy conditions, resulting in gaps in drug safety and pharmacokinetics predictions. To address this issue, we used a three-organ microphysiological system (MPS) combined with a digital twin framework, to predict pharmacokinetics and fetal drug exposure.","url":"https://pubmed.ncbi.nlm.nih.gov/40034823/","authors":["Graf K","Murrieta-Coxca JM","Vogt T","Besser S","Geilen D","Kaden T","Bothe AK","Morales-Prieto DM","Amiri B","Schaller S","Kaufmann L","Raasch M","Ammar RM","Maass C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fphar.2025.1528748","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40034129","name":"From FAIR to CURE: Guidelines for Computational Models of Biological Systems.","source":"pubmed","abstract":"Guidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of \"data\", we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility; the clarity of model descriptions and annotations for understandability; adherence to standards and open science practices for reproducibility; and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible.","url":"https://pubmed.ncbi.nlm.nih.gov/40034129/","authors":["Sauro HM","Agmon E","Blinov ML","Gennari JH","Hellerstein J","Heydarabadipour A","Hunter P","Jardine BE","May E","Nickerson DP","Smith LP","Bader GD","Bergmann F","Boyle PM","Dräger A","Faeder JR","Feng S","Freire J","Fröhlich F","Glazier JA","Gorochowski TE","Helikar T","Hoops S","Imoukhuede P","Keating SM","Konig M","Laubenbacher R","Loew LM","Lopez CF","Lytton WW","McCulloch A","Mendes P","Myers CJ","Myers JG","Mulugeta L","Niarakis A","van Niekerk DD","Olivier BG","Patrie AA","Quardokus EM","Radde N","Rohwer JM","Sahle S","Schaff JC","Sego TJ","Shin J","Snoep JL","Vadigepalli R","Wiley HS","Waltemath D","Moraru I"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 21","doi":"","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40032981","name":"Research on status monitoring and positioning compensation system for digital twin of parallel robots.","source":"pubmed","abstract":"Industrial parallel robots are characterized by their stable structure and grasping pick-up speed, and they are commonly used in food packaging and parts assembly industries. However, the traditional robot teaching pendants often provide monitoring data under idealized conditions. The lack of precise monitoring, combined with sensor data, frequently results in misaligned robot positioning and a reduced operational lifespan. To enhance these robots' positioning accuracy and monitoring efficiency, this paper introduces research on status monitoring and positioning compensation system for digital twin of parallel robots. Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. Ultimately, a digital twin system is built to visualize the status monitoring and positioning error compensation, and the system's reliability is confirmed through experimental validation.","url":"https://pubmed.ncbi.nlm.nih.gov/40032981/","authors":["Zhang Y","Gao P","Wang Z","He Q"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-91892-2","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:40032868","name":"Deconstructing Barisanus' medieval casting technology based on digital twins.","source":"pubmed","abstract":"The Italian 12th-century copper alloy doors of Barisanus have long been the subject of art historical studies and have recently been fully documented photogrammetrically and archaeometrically. In addition, digital twins of the three Barisanus doors in Ravello, Trani and Monreale have been produced and made available in open access for further research. These digital twins, together with the orthophotos produced, allow precise and repeatable measurements of the different metal parts of the doors, such as panels and frieze elements. This, and by taking into account the solid shrinkage of metals during the casting process, allowed for the reconstruction of the production sequence for each of the 20 single motif panels present on all three doors, and, finally, also for the establishment of the production sequence of the three doors as a whole-heavily discussed in art history research-with rather astonishing results. Moreover, bronze casting techniques used and the use of moulds and models are discussed, painting a more detailed picture that goes beyond the often purported dichotomy of lost wax vs. sand casting.","url":"https://pubmed.ncbi.nlm.nih.gov/40032868/","authors":["Asmus B","Fera M","Mödlinger M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 3","doi":"10.1038/s41598-025-91168-9","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40032136","name":"Embracing the future of medicine with virtual patients.","source":"pubmed","abstract":"The adoption of virtual patients promises to revolutionize pharmaceutical R&amp;D and health care through more patient-centric approaches and is driven by integrating innovations in computational approaches, AI, and advanced in vitro human model systems. Virtual patients can create the conditions for faster and more predictive R&amp;D, affecting all drivers of R&amp;D productivity. Virtual patients enable personalized health care, ensuring precise drug dosing and scheduling to maximize efficacy and minimize adverse effects. Numerous concrete examples demonstrate the transformative potential of virtual patients in real-world scenarios, showcasing significant improvements in drug development and clinical outcomes. Despite challenges in data variability, regulatory compliance, and data privacy, virtual patients hold immense potential to transform R&amp;D and clinical practices, driving a new era of personalized and efficient R&amp;D and health care.","url":"https://pubmed.ncbi.nlm.nih.gov/40032136/","authors":["Wang K","Parrott NJ","Lavé T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.drudis.2025.104322","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40031842","name":"Imitation Learning for Path Planning in Cardiac Percutaneous Interventions.","source":"pubmed","abstract":"Mitral regurgitation is a valvular heart disease particularly affecting the aging population. Minimally invasive transcatheter procedures offer benefits over traditional open-chest surgery but require significant operator skill and hand-eye coordination, making the learning curve steeper and limiting accessibility. To address these challenges, there is growing research interest in automating these procedures, making it crucial to define safe navigable routes within anatomical structures for robotic operation. This study introduces a tailored learning-based framework for path planning in cardiac percutaneous interventions, specifically adapted to the dynamically constrained and safety-critical environment of mitral valve repair.","url":"https://pubmed.ncbi.nlm.nih.gov/40031842/","authors":["Peloso A","Damiano R","Zhang X","Bicchi A","Votta E","De Momi E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1109/TBME.2025.3542224","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40030748","name":"Anthropomorphic Torso Phantoms and Validation of Their Physical and Digital Twins for Body-Area Radio-Communication Applications.","source":"pubmed","abstract":"Artificial phantoms play an important role in the development of body-area radio-communication devices and networks. This work aims to design, fabricate and validate physical anthropomorphic phantoms (PAP) of torso with their complementary digital twin models (DTM) emulating the anatomical and dielectric properties of the human body. Two PAPs-an obese lower abdomen and an athletic upper thorax-were designed and fabricated, with their DTMs. These PAPs cover both the ends of adult human body type spectrum. The heterogeneous phantoms consist of layers representing: skin, fat, muscle, rib cage, spinal column, and internal organ, fabricated using semi-solid, low water content materials. The phantoms were validated by comparing their dielectric properties with the IFAC database. The PAPs and DTMs were analyzed for the performance and safety of implantable/on-body radio-communication devices by measuring the values of reflection coefficient (S 11 ) and simulating specific absorption rate (SAR). The results obtained are: 1) strong agreement of tissue layers' dielectric properties with the IFAC database over 0.5-10 GHz frequency range; 2) dielectric, physical, and mechanical stability for at least 16 months after fabrication; 3) (re)usability and implantability of the developed PAPs for communication studies on the performance and safety of implantable/on-body devices; 4) reliability of developed DTMs for SAR analysis of implantable and on-body devices.","url":"https://pubmed.ncbi.nlm.nih.gov/40030748/","authors":["Joseph L","Zradzinski P","Chezhian AS","Mandal B","Mani M","Voigt T","Karpowicz J","Perez M","Karlsson RL","Augustine R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun","doi":"10.1109/TBME.2024.3524728","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40030650","name":"DECIDE-Twin: A Framework for AI-Enabled Digital Twins in Clinical Decision-Making.","source":"pubmed","abstract":"AI-enabled digital twins (DTs) are advanced virtual models of a complex real-world system, which have the potential to transform clinical decision-making. Despite the growing interest in such DTs, the literature lacks a unified framework for their development and implementation.","url":"https://pubmed.ncbi.nlm.nih.gov/40030650/","authors":["Rahimi SA","Baradaran A","Khameneifar F","Gore G","Issa AM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Sep","doi":"10.1109/JBHI.2024.3521717","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40029914","name":"Quantitative metrics for evaluating surgical dexterity using virtual reality simulations.","source":"pubmed","abstract":"This study develops and evaluates quantitative metrics to assess surgical dexterity within virtual reality (VR) simulations to enhance surgical training and performance. By employing advanced VR technology, this research systematically investigates the influence of controlled experimental factors-posture, handedness, and visual magnification-on surgical performance. The impact of human factors such as surgical specialty, experience, and lifestyle factors like sleep and caffeine consumption on surgical dexterity is also analyzed. The findings reveal that seated posture, dominant hand usage, and enhanced visual magnification significantly improve surgical precision and e&#xfb03;ciency. Contrary to common beliefs, lifestyle factors such as sleep duration and coffee consumption showed minimal impact on performance metrics. The study highlights the potential of VR simulations to provide a controlled, replicable, and safe environment for surgical training, emphasizing the importance of personalized training protocols that cater to individual surgeon's needs. The insights from this research advocate for integrating quantitative, objective metrics in surgical training programs to refine and accelerate dexterity acquisition, ultimately aiming to improve patient outcomes and surgical care.","url":"https://pubmed.ncbi.nlm.nih.gov/40029914/","authors":["Wu M","Kit CY","Su ELM","Yeong CF","Ahmmad SNZ","Holderbaum W","Yang C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0318660","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40027764","name":"Multi-scale machine learning model predicts muscle and functional disease progression in FSHD.","source":"pubmed","abstract":"Facioscapulohumeral muscular dystrophy (FSHD) is a genetic neuromuscular disorder characterized by progressive muscle degeneration with substantial variability in severity and progression patterns. FSHD is a highly heterogeneous disease; however, current clinical metrics used tracking disease progression lack sensitivity for personalized assessment, which greatly limits the design and execution of clinical trials. This study introduces a multi-scale machine learning framework leveraging whole-body magnetic resonance imaging (MRI) and clinical data to predict regional, muscle, joint, and functional progression in FSHD. The goal this work is to create a 'digital twin' of individual FSHD patients that can be leveraged in clinical trials. Using a combined dataset of over 100 patients from seven studies, MRI-derived metrics-including fat fraction, lean muscle volume, and fat spatial heterogeneity at baseline-were integrated with clinical and functional measures. A three-stage random forest model was developed to predict annualized changes in muscle composition and a functional outcome (timed up-and-go (TUG)). All model stages revealed strong predictive performance in separate holdout datasets. After training, the models predicted fat fraction change with a root mean square error (RMSE) of 2.16% and lean volume change with a RMSE of 8.1ml in a holdout testing dataset. Feature analysis revealed that metrics fat heterogeneity within muscle predicts muscle-level progression. The stage 3 model that combined functional muscle groups and predicted change in TUG with a RMSE of 0.6 seconds, in the holdout testing dataset. This study demonstrates the machine learning models incorporating individual muscle and performance data can effectively predict MRI disease progression and functional performance of complex tasks, addressing the heterogeneity and nonlinearity inherent in FSHD. Further studies incorporating larger longitudinal cohorts as well as comprehensive clinical and functional measures will allow for expanding and refining this model. As many neuromuscular diseases are characterized by varability and heterogeneity similar to FSHD, such approaches have broad applicability.","url":"https://pubmed.ncbi.nlm.nih.gov/40027764/","authors":["Blemker SS","Riem L","DuCharme O","Pinette M","Costanzo KE","Weatherley E","Statland J","Tapscott SJ","Wang LH","Shaw DWW","Move+ Investigator Team","Song X","Leung D","Friedman S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 20","doi":"10.1101/2025.02.19.639046","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40027452","name":"Developing Campus Digital Twin Using Interactive Visual Analytics Approach.","source":"pubmed","abstract":"Digital Twins (DTs) are increasingly recognized for their potential to improve efficiency and decision-making in various domains of the built environment. Despite their promise, challenges like cost, complexity, interoperability, and data integration remain. This paper introduces a novel interactive visual analytics system that tackles these issues, using a case study of simulating class distribution and campus building capacity at a large public university. The system leverages enrollment data, converting it into a spatial-temporal format for interactive exploration and analysis of class distribution and resource utilization. Through case studies, we demonstrate the system's effectiveness, adaptability, and real-world applicability, highlighting its role in practical DT implementation for built environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40027452/","authors":["Ye X","Jamonnak S","Van Zandt S","Newman G","Suermann P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1007/s44243-024-00033-2","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40024898","name":"Digital-Twin-Assisted Insights Into Irreversible Capacity and Activation Strategy Power High-Loading Solid-State Batteries.","source":"pubmed","abstract":"In solid-state lithium-ion batteries, the fraction of active materials involved in electrode electrochemistry reduces with the increase of electrode thickness. Conventional wisdom suggests that the degree of reaction linearly decreases toward the current collector as in lithium-ion batteries, which is, however, limited by the high difficulty of experimental capture of operando charge and mass transport. Electrode dynamics simulations can provide space visualization but are usually based on simplified models. Herein, we build digital-twin electrodes with digital-space voxel microstructure based on synchrotron tomography, which transforms the electrode architecture from real space to digital space for the construction of precision models. From the digital model-driven simulation, we find an \"lithium trapping\" effect, stemming from susceptible lithium stuck in the solid electrolyte, triggers an inadequate reaction of the intermediate region of electrodes. Then, we construct locally accelerated ion paths activating the lithium trapping, indicating that this strategy can significantly guide the sustainable battery design for next-generation energy storage.","url":"https://pubmed.ncbi.nlm.nih.gov/40024898/","authors":["Sun Y","Ning Y","Qiang Z","Xiang L","Liu Q","Zhang C","Quan G","Zhang Y","Deng B","Yin G","Liu T","Wang J","Lou S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Sep 1","doi":"10.1002/anie.202502169","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40024185","name":"Hemodynamics indicates differences between patients with and without a stroke outcome after left ventricular assist device implantation.","source":"pubmed","abstract":"Stroke remains a leading cause of complications and mortality in heart failure patients treated with a Left Ventricular Assist Device (LVAD). Hemodynamics plays a central role underlying post-LVAD stroke risk and etiology. Yet, detailed quantitative assessment of hemodynamic variables and their relation to stroke outcomes in patients on LVAD support remains a challenge. Modalities for pre-implantation assessment of post-implantation hemodynamics can help address this challenge. We present an in silico hemodynamics analysis for a digital twin cohort 12 patients on LVAD support; 6 with reported stroke outcomes and 6 without. For each patient we created a post-implant twin with the LVAD outflow graft reconstructed from cardiac-gated CT images; and a pre-implant twin of an estimated baseline flow by removing the LVAD outflow graft and driving flow from the aortic valve opening. Hemodynamics was characterized using descriptors for helical flow, vortex generation, and wall shear stress. We observed higher average values for descriptors of positive helical flow, vortex generation, and wall shear stress, across the 6 cases with stroke outcomes when compared with cases without stroke. When the descriptors for LVAD-driven flow were compared against estimated pre-implantation flow, extent of positive helicity was higher, and vorticity and wall shear were lower in cases with stroke compared to those without. Our study suggests that quantitative analysis of hemodynamics after LVAD implantation; and hemodynamic alterations from a pre-implant flow scenario, can potentially reveal hidden information linked to stroke outcomes during LVAD support. This has broad implications on understanding stroke etiology; and using patient digital twins for LVAD treatment planning, surgical optimization, and efficacy assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/40024185/","authors":["Sahni A","Majee S","Pal JD","McIntyre EE","Cao K","Mukherjee D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.compbiomed.2025.109877","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40023176","name":"Direct oral anticoagulants versus no anticoagulation for the prevention of stroke in survivors of intracerebral haemorrhage with atrial fibrillation (PRESTIGE-AF): a multicentre, open-label, randomised, phase 3 trial.","source":"pubmed","abstract":"Direct oral anticoagulants (DOACs) reduce the rate of thromboembolism in patients with atrial fibrillation but the benefits and risks in survivors of intracerebral haemorrhage are uncertain. We aimed to determine whether DOACs reduce the risk of ischaemic stroke without substantially increasing the risk of recurrent intracerebral haemorrhage.","url":"https://pubmed.ncbi.nlm.nih.gov/40023176/","authors":["Veltkamp R","Korompoki E","Harvey KH","Harvey ER","Fießler C","Malzahn U","Rücker V","Montaner J","Caso V","Sibon I","Ringleb P","Halse O","Hügen K","Ullmann S","Schuhmann C","Todd GP","Haas K","Palà E","Debette S","Lachaize M","D'Aoust T","Enzinger C","Ropele S","Fandler-Höfler S","Haidegger M","Wang Y","Wafa HA","Cancelloni V","Mosconi MG","Lip GYH","Lane DA","Haefeli WE","Foerster KI","Wurmbach VS","Nielsen PB","Hajjar K","Müller P","Poli S","Purrucker J","Laible M","D'Anna L","Silva Y","de Torres Chacon R","Martínez-Sánchez P","Boulanger M","Norrving B","Paré G","Wachter R","Ntaios G","Wolfe CDA","Heuschmann PU","PRESTIGE-AF Consortium"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 15","doi":"10.1016/S0140-6736(25)00333-2","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40020025","name":"Optimized real-time homodyne detection of bright pico-second twin beams by digital signal processing.","source":"pubmed","abstract":"Twin beams are useful tools in quantum technologies. However, due to their asymmetry in photon number distribution, a scheme needs to be optimized in order to fully exploit their quantum advantage. Here, we demonstrate a detection scheme for bright pico-second twin beams generated from a fiber optical parametric amplifier, in which the electronic gain of the detecting process is optimized in real time by digital signal processing without accurately calibrating the detection channels. Twin beams of -7.5 dB intensity difference squeezing (IDS) (the highest in an optical fiber system) is generated at a brightness of about 0.1 W in peak power. Our result paves the way for applications of twin beams in time-varying channels with asymmetric loss or noise.","url":"https://pubmed.ncbi.nlm.nih.gov/40020025/","authors":["Yan H","Zhao W","Guo X","Li X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 1","doi":"10.1364/OL.549639","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40018098","name":"Factors associated with decreased anal sphincter tone and the accuracy of forced anal examinations to detect individuals having receptive anal intercourse: an observational study.","source":"pubmed","abstract":"Forced anal examinations are used to prosecute sexual and gender minorities (SGM) in multiple countries under the presumption that decreased sphincter tone, assessed by a finger inserted into the anal canal, can detect persons practising receptive anal intercourse. Using baseline data from a longitudinal study, we aimed to determine factors associated with sphincter tone and the accuracy of sphincter tonality to detect persons engaging in receptive anal intercourse.","url":"https://pubmed.ncbi.nlm.nih.gov/40018098/","authors":["Nyitray AG","Rosser BRS","Hazra A","Nitkowski J","Smith D","Brzezinski B","Ridolfi TJ","Schneider JA","Chiao EY","Sanos S","Mkonyi E","Mgopa L","Ross MW"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Jun","doi":"10.1136/bmjph-2024-001039","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40017536","name":"The intrinsic spatiotemporal structure of cognitive functions inspires the intervention of brain functions.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40017536/","authors":["Wang Y","Zhang C","Liu Q","Jing X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fneur.2025.1494673","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40010606","name":"Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data.","source":"pubmed","abstract":"Accurately predicting the remaining useful life (RUL) of complex equipment plays a vital role in maintaining modern manufacturing systems' operational safety and reliability. This challenge has attracted considerable interest within the domain of intelligent operation and maintenance. However, the lack of high-quality, comprehensive lifecycle data in industrial environments is a major barrier to developing and deploying intelligent RUL prediction algorithms. Digital twin technology offers a novel solution by utilizing virtual resources to provide insights into the operation and maintenance of physical entities, thus addressing the issue of data insufficiency. This study presents an innovative lifecycle digital twin model and RUL prediction framework, based on operational CycleGAN with multiple virtual-physical mappings. First, a six-degree-of-freedom dynamic model of the bearing is developed as a digital representation. Subsequently, the mapping relationships between measured signals and bearing parameters are explored. The KAN mapping network is employed to forecast the evolutionary patterns of bearing parameters, enabling the construction of a full-lifecycle dynamic model. A self-organized neural operator is then integrated into the CycleGAN network to enable iterative updates and corrections of twin signals. This is achieved through the interaction of fault and environmental information across virtual and physical domains. Experimental results demonstrate that the generated lifecycle twin data exhibit a high degree of similarity and consistency with measured data distributions. The proposed method is compatible with advanced RUL prediction models, allowing accurate predictions even with limited lifecycle data.","url":"https://pubmed.ncbi.nlm.nih.gov/40010606/","authors":["Xu Q","Lei Z","Gu S","Wen G","Su Y","Zhang Z","Huang J","Qin R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.jare.2025.02.029","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"pmid:40006372","name":"Acquisition and Modeling of Material Appearance Using a Portable, Low Cost, Device.","source":"pubmed","abstract":"Material appearance acquisition allows researchers to capture the optical properties of surfaces and use them in different tasks such as material analysis, digital twins reproduction, 3D configurators, augmented and virtual reality, etc. Precise acquisition of such properties requires complex and expensive hardware. In this paper, we aim to answer the following research challenge: Can we design an accurate enough but low-cost and portable device for material appearance acquisition? We present the rationale behind the design of our device using consumer-grade hardware components. Ultimately, our device costs EUR 80 and can acquire surface patches of size 5 &#xd7; 5 cm with a 40 pix/mm resolution. Our device exploits a traditional RGB camera to capture a surface using 24 different images, each photographed using different lighting conditions. The different lighting conditions are generated by exploiting the LED rings included in our device; specifically, each of the 24 images is acquired by turning on one individual LED at time. We also illustrate the custom processing pipelines developed to support capturing and generating the material data in terms of albedo, normal, and roughness maps. The accuracy of the acquisition process is comprehensively evaluated both quantitatively and qualitatively. Results show that our low-cost device can faithfully acquire different materials. The usefulness of our device is further demonstrated by a textile virtual catalog application that we designed for rendering virtual fabrics on a mobile apparatus.","url":"https://pubmed.ncbi.nlm.nih.gov/40006372/","authors":["Marelli D","Bianco S","Ciocca G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 13","doi":"10.3390/s25041143","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40006208","name":"Research on the Phenomenological Constitutive Relationship Model of Silicone Structural Adhesives for Glass Curtain Walls.","source":"pubmed","abstract":"Silicone structural adhesives (SSAs) play a critical role in load transfer within glass curtain wall systems. With the increasing service life of existing glass curtain walls in recent years, their structural safety has become a significant concern across various societal sectors. Accurate characterization of the stress-strain relationship of SSAs is fundamental for evaluating the safety and performance of curtain wall structures. While most existing studies rely on hyperelastic constitutive models derived from rubber materials, employing parameter fitting to describe the constitutive behavior of SSAs, there remains a notable lack of research directly addressing constitutive models tailored specifically for SSAs. Although SSAs share similar chemical compositions with rubber after curing, their mechanical properties exhibit substantial differences. As a result, conventional hyperelastic constitutive models often fail to adequately capture the diverse mechanical responses of SSAs. To address this gap, this study begins with a comprehensive market survey to identify and select representative SSAs. Tensile and shear mechanical experiments are then conducted, with the stress-strain relationships during loading processes accurately captured using advanced techniques, such as Digital Image Correlation (DIC). Building on the Acoustic Emission (AE) algorithm, an intelligent algorithm is developed to optimize the fitting of hyperelastic constitutive parameters, enabling a critical evaluation of the applicability of existing phenomenological hyperelastic models to SSAs. Furthermore, in response to the limitations of current models, a novel and universally applicable constitutive model for SSAs is proposed. The robustness of this model is rigorously validated through comparative analysis with experimental data. The findings of this study provide a universal phenomenological constitutive model for SSAs, significantly enhancing the efficiency and accuracy of constitutive relationship fitting for these materials. This advancement contributes to the improved design, assessment, and maintenance of glass curtain wall systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40006208/","authors":["Jin N","Zhao J","Liang Y","Zhao X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 19","doi":"10.3390/polym17040547","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40004518","name":"Fluctuating Genetic Influences at Three Different Stages of Development of Dental Arches: A Complex System.","source":"pubmed","abstract":"Background/Objectives : The development of dental arches is a complex adaptive system with interactions between genetic and environmental factors. At different developmental stages, the relative contribution of these factors varies. The aims of this project were to identify the longitudinal changes of dental arches in the primary, mixed and permanent dentition stages, using curve fitting methods on serial dental casts, and to investigate the contribution of the genotype to dental arch development. Methods : Longitudinal dental records from 125 monozygotic same-sex twin pairs, 89 dizygotic same-sex twin pairs, and 49 opposite-sex dizygotic twin pairs were used. Standardized model photographs were collected, and key landmarks were digitized. Fourth-order orthogonal polynomials were applied to the Cartesian data. Descriptive statistics were calculated, and structural equation models were developed to analyze the individual polynomial coefficients. The final models employed a genetic simplex framework, enabling the evaluation of how genetic and environmental influences changed over time. These changes were examined both quantitatively (e.g., variations in heritability) and qualitatively (e.g., the influence of different genes at various stages). Results : In the primary dentition, arches were typically parabolic, while in the permanent dentition, they tended to be more square-shaped. Asymmetry made a minor contribution to variation across all stages of development. Genetic analysis revealed that a core group of genes influenced arch shape over time, though their impact varied. Additionally, some genes were specific to certain developmental stages, with their relative contributions differing significantly. Notably, there was evidence of sexual heterogeneity in arch shape, particularly in the permanent dentition. Heritability was consistently high, both at individual developmental stages and throughout the overall developmental process. Conclusions : The degree of genetic influence at each developmental stage was substantial but it fluctuated between the primary, mixed, and permanent dentition stages.","url":"https://pubmed.ncbi.nlm.nih.gov/40004518/","authors":["Hughes T","Mahmood Z","Giri J","Townsend G","Brook AH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 3","doi":"10.3390/genes16020189","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:40000461","name":"A mathematical model for the investigation of combined treatment of radiopharmaceutical therapy and PARP inhibitors.","source":"pubmed","abstract":"Although the combined treatment with radiopharmaceutical therapy (RPT) and poly (ADP-ribose) polymerase inhibitors (PARPi) shows promise, a critical challenge remains in the limited quantitative understanding needed to optimize treatment protocols. This study introduces a mathematical model that quantitatively represents homologous recombination deficiency (HRD) and facilitates patient-specific customization of therapeutic schedules.","url":"https://pubmed.ncbi.nlm.nih.gov/40000461/","authors":["Ryhiner M","Song Y","Hong J","Ferreira CVG","Rominger A","Kossatz S","Glatting G","Weber W","Shi K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jul","doi":"10.1007/s00259-025-07144-y","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39999615","name":"Differences of tsRNA expression profiles efficiently discriminate monozygotic twins in peripheral blood.","source":"pubmed","abstract":"Monozygotic twins (MZTs) share nearly identical genomic DNA sequences, making traditional forensic short tandem repeats (STR) genotyping methods ineffective for distinguishing between them. In recent years, the use of epigenetic factors in forensic applications has gained traction. The dynamic epigenetic factors can be influenced by inherited traits or acquired environmental factors. This study analyzed the expression profiles of transfer RNA-derived small RNAs (tsRNAs) in peripheral blood from four pairs of adult MZTs using Panoramic RNA Display by Overcoming RNA Modification Aborted Sequencing (PANDORA-seq). Differentially expressed tsRNAs (DEtsRNAs) were identified and validated using the reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR) and droplet digital PCR (ddPCR) in both adult and newborn MZTs. The study also evaluated the longitudinal temporal stability, resistance to degradation, and suitability of DEtsRNAs for aged bloodstains. A total of 8795 expressed tsRNAs were identified in the four pairs of adult MZTs by PANDORA-seq. After screening with a normalized | log 2 (fold change) | &gt;&#x202f;1 and an adjusted p-value &lt;&#x202f;0.05, 10, 187, and 1520 DEtsRNAs were shared by 4, 3, and 2 pairs of MZTs. RT-qPCR and ddPCR confirmed the expression of the 10 DEtsRNAs identified by PANDORA-seq. Six candidate tsRNAs (tRNA-Gly-GCC, tRNA-Leu-TAA, tRNA-Lys-CTT, tRNA-Val-AAC_5_end, tRNA-iMet-CAT_5_end, and tsRNA-3023a/b-PheGAA) were identified as effective discrimination markers, even in neonatal MZTs which are largely unaffected by environment factors. Forensic applicability assessment revealed that tRNA-Gly-GCC and tRNA-Leu-TAA remained detectable in the 180-day-series bloodstains, while tRNA-Lys-CTT, tRNA-Val-AAC_5_end, and tRNA-iMet-CAT_5_end were relatively stable after 15 times of freeze-thaw cycles. Additionally, tRNA-Gly-GCC and tRNA-Lys-CTT exhibited long-term stability, with consistent expression over six months. In conclusion, this study demonstrates that differential tsRNAs expression can serve as a novel biomarker for MZT identification in forensic medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39999615/","authors":["Tian M","Liu X","Wang D","Wang Y","Wang S","Wei J","Guan D","Yao J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.fsigen.2025.103242","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39996011","name":"Digital twins in dermatology: a new era of personalized skin care.","source":"pubmed","abstract":"The concept of digital twins, initially developed in engineering and manufacturing, is now creating a significant impact in healthcare, particularly in dermatology. A digital twin is a virtual representation of an individual's skin, designed by integrating real-time data such as imaging, genetic information, lifestyle factors, and environmental influences. 1,2 A digital twin is a common product of the Internet of Things (IoT), deep and digital phenotyping, and artificial intelligence (AI). 3 This technology promises to revolutionize dermatology by enabling highly personalized care, predictive diagnostics, and optimized treatment plans tailored to each patient's unique skin profile. 2 By exploring the potential applications of digital twins, this manuscript emphasizes their transformative role in personalized treatment for skin conditions, aesthetic and anti-aging interventions, and predictive dermatology for proactive skin care. It also delves into the role of AI and big data in powering this innovation while addressing the practical challenges, ethical considerations, and future directions necessary for the successful adoption of digital twins in dermatology.A digital twin in dermatology is a dynamic, evolving virtual model that mirrors a patient's skin characteristics. It incorporates factors like skin type, hydration, elasticity, pigmentation, and environmental exposure (UV radiation, pollution) to simulate various skin conditions or responses to treatment. 3 As data from sensors, wearable devices, high-resolution imaging, and electronic health records continuously update the twin, it provides real-time insights that can guide dermatological interventions. 4 This evolving digital model allows dermatologists to not only diagnose and treat current skin conditions, but also predict future skin issues based on a wide range of data points. 5 For instance, a patient's digital twin can track skin aging, simulating the effects of sun exposure or pollution over time, helping dermatologists tailor preventive strategies.While guidelines exist for treating conditions like acne and psoriasis, individual variability often necessitates iterative adjustments to achieve optimal outcomes. Digital twins can enhance the precision of these guidelines by simulating individual responses to treatments, minimizing the need for trial-and-error approaches. 6 For example, in the treatment of acne, a digital twin could simulate how a patient's skin might react to topical treatments like retinoids or benzoyl peroxide, as well as oral medications such as antibiotics or hormonal therapy. By virtually experimenting with these options, dermatologists can predict which treatments will yield the best results with minimal side effects, avoiding lengthy and sometimes frustrating trial periods for the patient. Similarly, digital twins can be invaluable in managing psoriasis, where treatment efficacy can vary significantly depending on individual factors such as the patient's immune response, lifestyle, and environmental triggers. 1 By simulating how different treatments, like biologics or phototherapy, would interact with the patient's unique skin and immune system, dermatologists can make data-driven decisions that optimize therapeutic outcomes. 7In the realm of cosmetic dermatology, digital twins provide unprecedented opportunities for personalized anti-aging treatments. Aging is influenced by numerous factors, including genetics, sun exposure, and overall health. A digital twin can incorporate all these variables to predict the patient's skin aging trajectory, helping dermatologists to recommend the most effective treatments at the right time. 8 For instance, the twin can model the effects of energy-based devices such as fractional lasers or radiofrequency treatments, ensuring that the parameters used are specific to the patient's skin depth, elasticity, and collagen structure. This level of customization minimizes the risk of overor under-treatment and maxim","url":"https://pubmed.ncbi.nlm.nih.gov/39996011/","authors":["Haykal D","Diala Haykal"],"tags":["Dermatology","Skin care","Medicine","Nursing"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdgth.2025.1534859","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"pmid:39995465","name":"Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin.","source":"pubmed","abstract":"Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies-such as Generative Artificial Intelligence (GenAI), Foundation Models (FMs), and Urban Digital Twin (UDT) frameworks-to transform urban planning and design practices. These transformative tools provide advanced capabilities to analyze complex urban systems, optimize resource management, and enable evidence-based decision-making. Despite recent progress, research on integrating GenAI and FMs into UDT frameworks remains scant, leaving gaps in our ability to capture complex urban flows and multimodal dynamics essential to achieving environmental sustainability goals. Moreover, the lack of a robust theoretical foundation and real-world operationalization of these tools hampers comprehensive modeling and practical adoption. This study introduces a pioneering Large Flow Model (LFM), grounded in a robust foundational framework and designed with GenAI capabilities. It is specifically tailored for integration into UDT systems to enhance predictive analytics, adaptive learning, and complex data management functionalities. To validate its applicability and relevance, the Blue City Project in Lausanne City is examined as a case study, showcasing the ability of the LFM to effectively model and analyze urban flows-namely mobility, goods, energy, waste, materials, and biodiversity-critical to advancing environmental sustainability. This study highlights how the LFM addresses the spatial challenges inherent in current UDT frameworks. The LFM demonstrates its novelty in comprehensive urban modeling and analysis by completing impartial city data, estimating flow data in new locations, predicting the evolution of flow data, and offering a holistic understanding of urban dynamics and their interconnections. The model enhances decision-making processes, supports evidence-based planning and design, fosters integrated development strategies, and enables the development of more efficient, resilient, and sustainable urban environments. This research advances both the theoretical and practical dimensions of AI-driven, environmentally sustainable urban development by operationalizing GenAI and FMs within UDT frameworks. It provides sophisticated tools and valuable insights for urban planners, designers, policymakers, and researchers to address the complexities of modern cities and accelerate the transition towards sustainable urban futures.","url":"https://pubmed.ncbi.nlm.nih.gov/39995465/","authors":["Huang J","Bibri SE","Keel P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.ese.2025.100526","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39995150","name":"Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine.","source":"pubmed","abstract":"Medical digital twins (MDTs) are virtual representations of patients that simulate the biological, physiological, and clinical processes of individuals to enable personalized medicine. With the increasing complexity of omics data, particularly multiomics, there is a growing need for advanced computational frameworks to interpret these data effectively. Foundation models (FMs), large-scale machine learning models pretrained on diverse data types, have recently emerged as powerful tools for improving data interpretability and decision-making in precision medicine. This review discusses the integration of FMs into MDT systems, particularly their role in enhancing the interpretability of multiomics data. We examine current challenges, recent advancements, and future opportunities in leveraging FMs for multiomics analysis in MDTs, with a focus on their application in precision medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39995150/","authors":["Alsaedi S","Gao X","Gojobori T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1002/2211-5463.70003","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39994432","name":"Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures.","source":"pubmed","abstract":"Nondestructive evaluation (NDE) of aerospace structures plays a crucial role in their successful operation under harsh environments. Most NDE methods, however, lack real-time in-situ predictive capabilities of evolving damage and are conducted in a post-mortem manner. This paper proposes a damage-sensing digital twin (DT) for piezoelectric composite structures incorporating microscale morphology and mechanisms into structural damage to address this shortcoming. The DT framework consists of a two-step computational process integrating multiscale-multiphysics modeling with machine learning (ML) tools to detect damage progression in the piezoelectric composite structure using electrical signal measurements at a few surface points. A parametrically upscaled coupled constitutive damage mechanics (PUCCDM) model is developed for this DT with the representation of microstructural morphology and mechanisms in macroscopic constitutive relations. Artificial neural network operates on micro-electro-mechanical data to derive PUCCDM constitutive coefficients as functions of underlying representative aggregated microstructural parameters (RAMPs). The PUCCDM model-simulated macroscopic electromechanical and damage fields, in conjunction with RAMPs, provide a comprehensive time-dependent dataset for a convolutional long-short-term memory (ConvLSTM) network to learn microstructure-dependent electrical and damage field correlations. The DT is consequently used to successfully predict location-specific damage from electrical signals at a limited number of sensors.","url":"https://pubmed.ncbi.nlm.nih.gov/39994432/","authors":["Ghosh S","Dan S","Tarafder P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 24","doi":"10.1038/s41598-025-91196-5","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39994365","name":"Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.","source":"pubmed","abstract":"In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (AIC) using electronic medical records. We evaluated the effects of angiotensin II receptor blockers/angiotensin-converting enzyme inhibitors (ARB/ACEIs), beta-blockers (BBs), statins, and calcium channel blockers (CCBs) on AIC using signals extracted from clinical texts via NLP. The study included 2935 patients prescribed anthracyclines at a single hospital, with concomitant prescriptions of ARB/ACEIs, BBs, statins, and CCBs. Upon propensity score matching, groups with and without these medications were compared, and expressions suggestive of cardiotoxicity, extracted via NLP, were considered as the outcome. The hazard ratios for ARB/ACEIs, BBs, statins, and CCBs were 0.58 [95% CI: 0.38-0.88], 0.71 [95% CI: 0.35-1.44], 0.60 [95% CI 0.38-0.95], and 0.63 [95% CI: 0.45-0.88], respectively. ARB/ACEIs, statins, and CCBs significantly suppressed AIC, whereas BBs did not demonstrate statistical significance, possibly due to limited statistical power. NLP-extracted signals from clinical texts reflected the known effects of these medications, demonstrating the feasibility of NLP-based drug repositioning. Further investigation is needed to determine if similar results can be replicated using electronic medical records from other institutions.","url":"https://pubmed.ncbi.nlm.nih.gov/39994365/","authors":["Kawazoe Y","Tsuchiya M","Shimamoto K","Seki T","Shinohara E","Yada S","Wakamiya S","Imai S","Aramaki E","Hori S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 24","doi":"10.1038/s41598-025-91187-6","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39993042","name":"Digital Twins: The Future for Ventricular Tachycardia Ablation?","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39993042/","authors":["Qin D","Singh JP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 25","doi":"10.1161/CIRCULATIONAHA.124.072299","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39990405","name":"The MicroMap is a network visualisation resource for microbiome metabolism.","source":"pubmed","abstract":"The human microbiome plays a crucial role in metabolism and thereby influences health and disease. Constraint-based reconstruction and analysis (COBRA) has proven an attractive framework to generate mechanism-derived hypotheses along the nutrition-host-microbiome-disease axis within the computational systems biology community. Unlike for human, no large-scale visualisation resource for microbiome metabolism has been available to date. To address this gap, we created the MicroMap, a manually curated microbiome metabolic network visualisation, which captures the metabolic content of over a quarter million microbial genome-scale metabolic reconstructions. The MicroMap contains 5,064 unique reactions and 3,499 unique metabolites, including for 98 drugs. The MicroMap allows users to intuitively explore microbiome metabolism, inspect microbial metabolic capabilities, and visualise computational modelling results. Further, the MicroMap shall serve as an educational tool to make microbiome metabolism accessible to broader audiences beyond computational modellers. For example, we utilised the MicroMap to generate a comprehensive collection of 257,429 visualisations, corresponding to the entire scope of our current microbiome reconstruction resources, to enable users to visually compare and contrast the metabolic capabilities for diaerent microbes. The MicroMap seamlessly integrates with the Virtual Metabolic Human (VMH, www.vmh.life) and the COBRA Toolbox (opencobra.github.io), and is freely accessible at the MicroMap dataverse (https://dataverse.harvard.edu/dataverse/micromap), in addition to all the generated reconstruction visualisations.","url":"https://pubmed.ncbi.nlm.nih.gov/39990405/","authors":["Thinnes CC","Waschkowitz R","Courtney E","Culligan E","Fahy K","Ferrazza RAM","Ferris C","Lagali A","Lane R","Maye C","Murphy O","Noone D","Ryan S","Bet M","Corr MC","Cummins H","Hackett D","Healy E","Kulczycka N","Lang N","Madden L","McHugh L","Pyne I","Varley C","Harkin N","Meade R","O'Donnell G","Nap B","Martinelli F","Heinken A","Thiele I"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 16","doi":"10.1101/2025.02.13.637616","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39989345","name":"Digital twin systems for musculoskeletal applications: A current concepts review.","source":"pubmed","abstract":"Digital twin (DT) systems, which involve creating virtual replicas of physical objects or systems, have the potential to transform healthcare by offering personalised and predictive models that grant deeper insight into a patient's condition. This review explores current concepts in DT systems for musculoskeletal (MSK) applications through an overview of the key components, technologies, clinical uses, challenges, and future directions that define this rapidly growing field. DT systems leverage computational models such as multibody dynamics and finite element analysis to simulate the mechanical behaviour of MSK structures, while integration with wearable technologies allows real-time monitoring and feedback, facilitating preventive measures, and adaptive care strategies. Early applications of DT systems to MSK include optimising the monitoring of exercise and rehabilitation, analysing joint mechanics for personalised surgical techniques, and predicting post-operative outcomes. While still under development, these advancements promise to revolutionise MSK care by improving surgical planning, reducing complications, and personalising patient rehabilitation strategies. Integrating advanced machine learning algorithms can enhance the predictive abilities of DTs and provide a better understanding of disease processes through explainable artificial intelligence (AI). Despite their potential, DT systems face significant challenges. These include integrating multi-modal data, modelling ageing and damage, efficiently using computational resources and developing clinically accurate and impactful models. Addressing these challenges will require multidisciplinary collaboration. Furthermore, guaranteeing patient privacy and protection against bias is extremely important, as is navigating regulatory requirements for clinical adoption. DT systems present a significant opportunity to improve patient care, made possible by recent technological advancements in several fields, including wearable sensors, computational modelling of biological structures, and AI. As these technologies continue to mature and their integration is streamlined, DT systems may fast-track medical innovation, ushering in a new era of rapid improvement of treatment outcomes and broadening the scope of preventive medicine. Level of Evidence: Level V.","url":"https://pubmed.ncbi.nlm.nih.gov/39989345/","authors":["Diniz P","Grimm B","Garcia F","Fayad J","Ley C","Mouton C","Oeding JF","Hirschmann MT","Samuelsson K","Seil R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1002/ksa.12627","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39987701","name":"Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: Identifying reliable biomarkers such as ventricular relaxation rate.","source":"pubmed","abstract":"Cardiovascular digital twins and mechanistic models can be used to obtain new biomarkers from patient-specific hemodynamic data. However, such model-derived biomarkers are only clinically relevant if the uncertainty of the biomarkers is smaller than the variation between timepoints/patients. Unfortunately, this uncertainty is challenging to calculate, as the uncertainty of the underlying hemodynamic data is largely unknown and has several sources that are not additive or normally distributed. This violates normality assumptions of current methods; implying that also biomarkers have an unknown uncertainty. To remedy these problems, we herein present a method, with attached code, for uncertainty calculation of model-derived biomarkers using non-normal data. First, we estimated all sources of uncertainty, both normal and non-normal, in hemodynamic data used to personalize an existing model; the errors in 4D flow MRI-derived stroke volumes were 5-20&#xa0;% and the blood pressure errors were 0&#xa0;&#xb1;&#xa0;8&#xa0;mmHg. Second, we estimated the resulting model-derived biomarker uncertainty for 100 simulated datasets, sampled from the data distributions, by: 1) combining data uncertainties 2) parameter estimation, 3) profile-likelihood. The true biomarker values were found within a 95&#xa0;% confidence interval in 98&#xa0;% (median) of the cases. This shows both that our estimated data uncertainty is reasonable, and that we can use profile-likelihood despite the non-normality. Finally, we demonstrated that e.g. ventricular relaxation rate has a smaller uncertainty (&#x223c;10&#xa0;%) than the variation across a clinical cohort (&#x223c;40&#xa0;%), meaning that these biomarkers have clinical potential. Our results take us one step closer to the usage of model-derived biomarkers for cardiovascular patient characterization.","url":"https://pubmed.ncbi.nlm.nih.gov/39987701/","authors":["Tunedal K","Ebbers T","Cedersund G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.compbiomed.2025.109878","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39985522","name":"Benefits of Early Catheter Ablation in Patients With Atrial Fibrillation: A Nationwide Cohort Study.","source":"pubmed","abstract":"Although early rhythm control showed better clinical outcomes in patients with atrial fibrillation (AF), limited data exist on the relationship between the timing of atrial fibrillation catheter ablation (AFCA) and clinical outcomes.","url":"https://pubmed.ncbi.nlm.nih.gov/39985522/","authors":["Kwon S","Lee SR","Choi EK","Kim B","Han KD","Choi J","Lee KY","Ahn HJ","Oh S","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.jacep.2024.12.023","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39985306","name":"The Neutrophil-to-Lymphocyte Ratio Is an Independent Inflammatory Biomarker for Adverse Events in Patients With Atrial Fibrillation: Insights From the Murcia AF Project II (MAFP-II) Cohort Study.","source":"pubmed","abstract":"Systemic inflammation plays a central role in atrial fibrillation (AF). The neutrophil-to-lymphocyte ratio (NLR) is a simple hematological index that has been shown to be associated with prognosis in different pathologies.","url":"https://pubmed.ncbi.nlm.nih.gov/39985306/","authors":["Soler-Espejo E","Marín F","López-Gálvez R","Ramos-Bratos MP","Sánchez-Villalobos M","Esteve-Pastor MA","Lip GYH","Rivera-Caravaca JM","Roldán V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1002/clc.70102","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39984835","name":"Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review.","source":"pubmed","abstract":"This scoping review systematically maps externally validated machine learning (ML)-based models in cancer patient care, quantifying their performance, and clinical utility, and examining relationships between models, cancer types, and clinical decisions. By synthesizing evidence, this study identifies, strengths, limitations, and areas requiring further research.","url":"https://pubmed.ncbi.nlm.nih.gov/39984835/","authors":["Santos CS","Amorim-Lopes M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 21","doi":"10.1186/s12874-025-02463-y","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39984725","name":"Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement.","source":"pubmed","abstract":"This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA) management and knee replacement (KR) prediction. We combined deep learning-based segmentation of knee joint structures with dimensionality reduction to create an embedded feature space of imaging biomarkers. Through cross-sectional cohort analysis and statistical modeling, we identified specific biomarkers, including variations in cartilage thickness and medial meniscus shape, that are significantly associated with OA incidence and KR outcomes. Integrating these findings into a comprehensive framework represents a considerable step toward personalized knee-joint digital twins, which could enhance therapeutic strategies and inform clinical decision-making in rheumatological care. This versatile and reliable infrastructure has the potential to be extended to broader clinical applications in precision health.","url":"https://pubmed.ncbi.nlm.nih.gov/39984725/","authors":["Hoyer G","Gao KT","Gassert FG","Luitjens J","Jiang F","Majumdar S","Pedoia V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 21","doi":"10.1038/s41746-025-01507-3","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39984651","name":"A digital twin based forecasting framework for power flow management in DC microgrids.","source":"pubmed","abstract":"The ability to forecast system conditions is integral to the definition and functionality of digital twins. While forecasting methods have been explored for use in digital twin systems, the integration of feedback mechanisms for real-time forecasting and in-situ decision-making in DC microgrids has not been extensively investigated. This research develops a modular forecasting framework tailored for digital twins in DC microgrids to enable real-time monitoring, online forecasting, and decision-making. DC microgrids, characterized by dynamic load variations, benefit from advanced predictive capabilities to maintain stability and operational efficiency. The proposed digital twin-based forecasting framework addresses these challenges by providing real-time predictive insights based on dynamic system conditions and a forecasting window defined by a decision-maker, facilitating proactive management strategies. Leveraging real-time sensor data, the digital twin forecasts system behavior under varying load conditions, enabling proactive management through real-time decision-making within operational constraints. As a proof of concept, the framework incorporates an electro-thermal digital twin designed to manage power flow based on thermal constraints in power distribution cables. Experimental validation using a simplified three-bus DC microgrid testbed demonstrates the effectiveness of the framework in enabling timely adjustments to power flows and preventing thermal overloads.","url":"https://pubmed.ncbi.nlm.nih.gov/39984651/","authors":["Sado K","Peskar J","Downey A","Khan J","Booth K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 21","doi":"10.1038/s41598-025-91074-0","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39984634","name":"Telemedicine-based integrated management of atrial fibrillation in village clinics: a cluster randomized trial.","source":"pubmed","abstract":"In rural China, where healthcare relies on village doctors (nonspecialized practitioners who work exclusively in their village clinics), delivering integrated atrial fibrillation (AF) management poses challenges. We developed a telemedicine-based, village doctor-led integrated care model and conducted a cluster randomized clinical trial to assess its efficacy compared to usual care. A total of 30 village clinics were randomly assigned (1:1) to the intervention or control group, with 1,039 village residents aged &#x2265;65 years with AF (44.3% women) recruited. The primary outcome in stage 1 is adherence to integrated AF care at 12 months. In stage 2, the primary outcome is a composite of cardiovascular death, all strokes, heart failure or acute coronary syndrome hospitalization, and AF emergency visits over 36 months. Both primary outcomes were met. At 12 months, 33.1% in the telemedicine-based, village doctor-led care group and 8.7% in the usual care group met all criteria for integrated AF care (between-group difference, 24.4% (95% confidence interval (CI), 18.3-30.5%); P&#x2009;&lt;&#x2009;0.001). Over 34.0 months, 41.8% in the telemedicine-based, village doctor-led care group and 10.3% in the usual care group met all criteria for integrated AF care (P&#x2009;&lt;&#x2009;0.001). The rate of the composite cardiovascular event outcome was lower in the telemedicine-based, village doctor-led care group than in the usual care group (6.2% versus 9.6% per year; hazard ratio, 0.64 (95% CI, 0.50-0.82); P&#x2009;&lt;&#x2009;0.001). Our trial intervention by this telemedicine-based integrated care delivery model of AF care in rural villages demonstrates better adherence and improved clinical outcomes compared to usual care. ClinicalTrials.gov registration: NCT04622514 .","url":"https://pubmed.ncbi.nlm.nih.gov/39984634/","authors":["Chu M","Zhang S","Gong J","Yang S","Yang G","Sun X","Wu D","Xia Y","Jiao J","Peng X","Peng Z","Hong L","Wang Z","Li M","Lip GYH","Chen M","MIRACLE-AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1038/s41591-025-03511-2","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39981353","name":"Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation.","source":"pubmed","abstract":"Large Language Models (LLM) are increasingly multimodal, and Zero-Shot Visual Question Answering (VQA) shows promise for image interpretation. If zero-shot VQA can be applied to a 12-lead electrocardiogram (ECG), a prevalent diagnostic tool in the medical field, the potential benefits to the field would be substantial. This study evaluated the diagnostic performance of zero-shot VQA with multimodal LLMs on 12-lead ECG images. The results revealed that multimodal LLM tended to make more errors in extracting and verbalizing image features than in describing preconditions and making logical inferences. Even when the answers were correct, erroneous descriptions of image features were common. These findings suggest a need for improved control over image hallucination and indicate that performance evaluation using the percentage of correct answers to multiple-choice questions may not be sufficient for performance assessment in VQA tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/39981353/","authors":["Seki T","Kawazoe Y","Ito H","Akagi Y","Takiguchi T","Ohe K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fcvm.2025.1458289","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39975435","name":"An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.","source":"pubmed","abstract":"Computational models of atrial electrophysiology (EP) are increasingly utilized for applications such as the development of advanced mapping systems, personalized clinical therapy planning, and the generation of virtual cohorts and digital twins. These models have the potential to establish robust causal links between simulated in silico behaviors and observed human atrial EP, enabling safer, cost-effective, and comprehensive exploration of atrial dynamics. However, current state-of-the-art approaches lack the fidelity and scalability required for regulatory-grade applications, particularly in creating high-quality virtual cohorts or patient-specific digital twins. Challenges include anatomically accurate model generation, calibration to sparse and uncertain clinical data, and computational efficiency within a streamlined workflow. This study addresses these limitations by introducing novel methodologies integrated into an automated end-to-end workflow for generating high-fidelity digital twin snapshots and virtual cohorts of atrial EP. These innovations include: (i) automated multi-scale generation of volumetric biatrial models with detailed anatomical structures and fiber architecture; (ii) a robust method for defining space-varying atrial parameter fields; (iii) a parametric approach for modeling inter-atrial conduction pathways; and (iv) an efficient forward EP model for high-fidelity electrocardiogram computation. We evaluated this workflow on a cohort of 50 atrial fibrillation patients, producing high-quality meshes suitable for reaction-eikonal and reaction-diffusion models and demonstrating the ability to simulate atrial ECGs under parametrically controlled conditions. These advancements represent a critical step toward scalable, precise, and clinically applicable digital twin models and virtual cohorts, enabling enhanced patient-specific predictions and therapeutic planning.","url":"https://pubmed.ncbi.nlm.nih.gov/39975435/","authors":["Zappon E","Azzolin L","Gsell MAF","Thaler F","Prassl AJ","Arnold R","Gillette K","Kariman M","Manninger-Wünscher M","Scherr D","Neic A","Urschler M","Augustin CM","Vigmond EJ","Plank G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 5","doi":"","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39974127","name":"Reevaluating the Role of Education in Cognitive Decline and Brain Aging: Insights from Large-Scale Longitudinal Cohorts across 33 Countries.","source":"pubmed","abstract":"Why education is linked to higher cognitive function in aging is fiercely debated. Leading theories propose that education reduces brain decline in aging, enhances tolerance to brain pathology, or that it does not affect cognitive decline but rather reflects higher early-life cognitive function. To test these theories, we analyzed 407.356 episodic memory scores from 170.795 participants &gt;50 years, alongside 15.157 brain MRIs from 6.472 participants across 33 Western countries. More education was associated with better memory, larger intracranial volume and slightly larger volume of memory-sensitive brain regions. However, education did not protect against age-related decline or weakened effects of brain decline on cognition. The most parsimonious explanation for the results is that the associations reflect factors present early in life, including propensity of individuals with certain traits to pursue more education. While education has numerous benefits, the notion that it provides protection against cognitive or brain decline is not supported.","url":"https://pubmed.ncbi.nlm.nih.gov/39974127/","authors":["Fjell AM","Røgeberg O","Sørensen Ø","Amlien IK","Bartrés-Faz D","Brandmaier AM","Cattaneo G","Düzel S","Grydeland H","Henson RN","Kühn S","Lindenberger U","Lyngstad TH","Mowinckel AM","Nyberg L","Pascual-Leone A","Solé-Padullés C","Sneve MH","Solana J","Strømstad M","Watne LO","Alzheimer’s Disease Neuroimaging Initiative","Vietnam Era Twin Study of Aging","Walhovd KB","Vidal-Piñeiro D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 29","doi":"10.1101/2025.01.29.25321305","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39969978","name":"Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges.","source":"pubmed","abstract":"Digital twins (DTs) are digital representations of real-world systems, enabling advanced simulations, predictive modeling, and real-time optimization in various fields, including health care. Despite growing interest, the integration of DTs in health care faces challenges such as fragmented applications, ethical concerns, and barriers to adoption.","url":"https://pubmed.ncbi.nlm.nih.gov/39969978/","authors":["Ringeval M","Etindele Sosso FA","Cousineau M","Paré G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 19","doi":"10.2196/69544","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39969697","name":"Machine Learning Approaches to Prognostication in Traumatic Brain Injury.","source":"pubmed","abstract":"This review investigates the use of machine learning (ML) in prognosticating outcomes for traumatic brain injury (TBI). It underscores the benefits of ML models in processing and integrating complex, multimodal data-including clinical, imaging, and physiological inputs-to identify intricate non-linear relationships that traditional methods might overlook.","url":"https://pubmed.ncbi.nlm.nih.gov/39969697/","authors":["Badjatia N","Podell J","Felix RB","Chen LK","Dalton K","Wang TI","Yang S","Hu P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 19","doi":"10.1007/s11910-025-01405-x","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39966790","name":"Three-dimensional analysis of mandibular and condylar growth using artificial intelligence tools: a comparison of twin-block and Frankel II Appliances.","source":"pubmed","abstract":"Analyzing the morphological growth changes upon mandibular advancement between Twin Block (TB) and Functional Regulator II (FR2) in Class II patients involves measuring the condylar and mandibular changes in terms of linear and volumetric measurements, as well as the distances registered after superimposition. Correspondingly, 3D digital assessment with the benefit of artificial intelligence tools was applied, and color-coded distance maps were descriptively interpreted to visualize the direction of growth.","url":"https://pubmed.ncbi.nlm.nih.gov/39966790/","authors":["Shihabi R","Liu Y","Kusaibati AM","Maraabeh F","Zhan J","Zhang J","Hu L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 18","doi":"10.1186/s12903-025-05624-z","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39966509","name":"Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure.","source":"pubmed","abstract":"Heart failure (HF) is a highly heterogeneous condition, and current methods struggle to synthesize extensive clinical data for personalized care. Using data from 343 HF patients, we developed mechanistic computational models of the cardiovascular system to create digital twins. These twins, consisting of optimized measurable and unmeasurable parameters alongside simulations of cardiovascular function, provided comprehensive representations of individual disease states. Unsupervised machine learning applied to digital twin-derived features identified interpretable phenogroups and mechanistic drivers of cardiovascular death risk. Incorporating these features into prognostic AI models improved performance, transferability, and interpretability compared to models using only clinical variables. This framework demonstrates potential to enhance prognosis and guide therapy, paving the way for more precise, individualized HF management.","url":"https://pubmed.ncbi.nlm.nih.gov/39966509/","authors":["Gu F","Meyer AJ","Ježek F","Zhang S","Catalan T","Miller A","Schenk NA","Sturgess VE","Uceda D","Li R","Wittrup E","Hua X","Carlson BE","Tang YD","Raza F","Najarian K","Hummel SL","Beard DA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 18","doi":"10.1038/s41746-025-01501-9","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39966452","name":"Real-time update algorithms for digital twin models of distribution network equipment under internet of things and optical imaging technology.","source":"pubmed","abstract":"In order to achieve more efficient, accurate and intelligent substation equipment management and overall work efficiency of the substation, improve the work quality of the substation, innovate the data transmission mode and basic algorithm of the distribution network, and improve the traditional shortcomings and defects. With the increasing digitalization of distribution network equipment (DNE), real-time update algorithms for digital twin (DT) models have become a focus of research on digitalization of DNE. However, traditional real-time update algorithms for DT models still have problems such as poor real-time and accuracy, robustness, and scalability. The article first described the problems existing in the traditional DT model of DNE. Then it used IoT sensors and optical devices to collect data related to DNE; then it used the Savitzky-Golay filtering algorithm to denoise the data. This article combined the IoT and optical imaging technology to construct a DT model; by using the recursive least squares method again, key parameters and state parameters were extracted from the constructed DT mechanism model, achieving real-time updates of the DNE DT model. Finally, to verify the application effect of the IoT and optical imaging technology in real-time update algorithms for DT models of DNE, this paper compared them with traditional parameter sensitivity analysis and state estimation. The research results showed that in the real-time and accuracy testing of test case 13, the algorithm used in this paper had a time of 0.014&#xa0;s and an accuracy of 93.2%. The parameter sensitivity analysis method had a time of 0.045&#xa0;s and an accuracy of 80.4%. The state estimation method took 0.056&#xa0;s and had an accuracy of 82.7%. In addition, the robustness and scalability of the real-time update algorithm for the DNE DT model using the method proposed in this article are significantly better than the other two traditional methods. The results show that the real-time update algorithm of the DT model of DNE based on the IoT and optical imaging technology has better real-time performance, higher accuracy, and better robustness and scalability. This study highlights the significant impact of the IoT and optical imaging technology on the accuracy, robustness, and real-time performance of real-time update algorithms for DT models. This provides more solutions for real-time monitoring, prediction, and control of DNE.","url":"https://pubmed.ncbi.nlm.nih.gov/39966452/","authors":["Shen J","Hu L","Yang Y","Li Y","Lou P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 18","doi":"10.1038/s41598-025-85457-6","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39965994","name":"Utilization of precision medicine digital twins for drug discovery in Alzheimer's disease.","source":"pubmed","abstract":"Alzheimer's disease (AD) presents significant challenges in drug discovery and development due to its complex and poorly understood pathology and etiology. Digital twins (DTs) are recently developed virtual real-time representations of physical entities that enable rapid assessment of the bidirectional interaction between the virtual and physical domains. With recent advances in artificial intelligence (AI) and the growing accumulation of multi-omics and clinical data, application of DTs in healthcare is gaining traction. Digital twin technology, in the form of multiscale virtual models of patients or organ systems, can track health status in real time with continuous feedback, thereby driving model updates that enhance clinical decision-making. Here, we posit an additional role for DTs in drug discovery, with particular utility for complex diseases like AD. In this review, we discuss salient challenges in AD drug development, including complex disease pathology and comorbidities, difficulty in early diagnosis, and the current high failure rate of clinical trials. We also review DTs and discuss potential applications for predicting AD progression, discovering biomarkers, identifying new drug targets and opportunities for drug repurposing, facilitating clinical trials, and advancing precision medicine. Despite significant hurdles in this area, such as integration and standardization of dynamic medical data and issues of data security and privacy, DTs represent a promising approach for revolutionizing drug discovery in AD.","url":"https://pubmed.ncbi.nlm.nih.gov/39965994/","authors":["Ren Y","Pieper AA","Cheng F","Yunxiao Ren","Andrew A. Pieper","Feixiong Cheng"],"tags":["Neurology","Disease","Medicine","Drug discovery","Drug"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.neurot.2025.e00553","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"pmid:39960169","name":"Apixaban in patients with nonvalvular atrial fibrillation, heart failure and low body weight: A report from a global federated research dataset.","source":"pubmed","abstract":"Atrial fibrillation (AF) and low body weight (BW, &lt;60&#x2009;kg) are common in patients with heart failure (HF). However, the safety and effectiveness of direct oral anticoagulants (DOACs) in this group remain unclear. This study compares the efficacy and safety of apixaban versus vitamin K antagonists (VKAs) in patients with nonvalvular AF, low BW and HF.","url":"https://pubmed.ncbi.nlm.nih.gov/39960169/","authors":["Monzo L","Baudry G","Hernandez G","Denquin O","Savarese G","Lip GYH","Girerd N"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1111/eci.70012","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39959886","name":"Building a physics-based virtual refrigerated container filled with fruit in ventilated packaging.","source":"pubmed","abstract":"We build a validated physics-based model of a refrigerated container filled with fruit in ventilated packaging. This model of a virtual container is the basis for simulations in an accompanying paper on citrus fruit shipped overseas from South Africa to Europe. The model is used to understand better how the cargo cools and when and where food quality is lost in these supply chains. We build a computational fluid dynamics model with a two-phase porous media approach that simulates the airflow in the container and the cooling process of every fruit. This container can be considered aerodynamically to be a slot-ventilated enclosure. We also model the fruit's thermally-driven quality loss. Using a two-phase porous media approach for the ventilated cargo and modeling temperature-driven fruit quality evolution are two steps forward compared to most existing physics-based refrigerated container models. We validate the porous media model implementation. We define and apply actionable metrics for every fruit inside the cargo, such as remaining shelf life upon arrival and seven-eighths cooling time.&#x2022;This model can help reduce food loss and increase supply-chain resilience.&#x2022;This model is an essential building block of a refrigerated container's digital twin.&#x2022;This model can support stakeholders in improving cargo temperature control and resulting fruit quality preservation.","url":"https://pubmed.ncbi.nlm.nih.gov/39959886/","authors":["Defraeye T","Verreydt C","Gonthier J","Lukasse L","Cronjé P","Berry T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1016/j.mex.2024.102984","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39957439","name":"Micromechanical finite element modeling of crystalline lipid-based materials: monoglyceride-based oleogels and their composites.","source":"pubmed","abstract":"The mechanical properties of crystalline lipid-based materials are dependent on the microscale structure formed during the crystallization process. In this work, we show for the first time that the mechanical properties of such materials can be mathematically calculated by performing 3D mechanistic modeling on the exact microstructure obtained by non-destructive imaging. Initially, we obtained a digital twin of a monoglyceride-based oleogel from phase-contrast X-ray tomography. The microstructure was found to be composed of an interconnected network of crystalline platelets. Then, we applied micromechanical finite element modeling on the microstructure, which revealed that the effective shear modulus scales with the local solid fraction and also depends on the precise crystalline arrangement. Lastly, we designed composite materials in a digital environment by adding particle inclusions to the digital twin. The particle material, concentration and size are varied to demonstrate their effect on the composite's mechanical properties. The designed materials reveal that particle inclusions can either decrease or greatly increase the shear modulus of lipid-based materials. Our new micromechanical approach accelerates the design of lipid-based materials by leveraging virtual environments, leading the path towards materials with tailored mechanical properties.","url":"https://pubmed.ncbi.nlm.nih.gov/39957439/","authors":["Grahn P","Lassila P","Valoppi F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May 19","doi":"10.1039/d4mh01891e","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39956581","name":"Sex Differences in Post-Noncardiac Surgery Risks Assessed Using the Revised Cardiac Risk Index　- A Nationwide Retrospective Cohort Study.","source":"pubmed","abstract":"The Revised Cardiac Risk Index (RCRI) has been incorporated into preoperative assessment guidelines and is used for simple preoperative screening; however, validation studies within large populations are limited. Moreover, although sex differences in perioperative risk are recognized, their effect on the performance of the RCRI remains unclear. Therefore, in this study we evaluated whether sex differences exist in the risks within the strata classified by the RCRI.","url":"https://pubmed.ncbi.nlm.nih.gov/39956581/","authors":["Seki T","Kawazoe Y","Takiguchi T","Akagi Y","Ito H","Kubota K","Miyake K","Okada M","Ohe K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug 25","doi":"10.1253/circj.CJ-24-0846","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39955858","name":"Enabling the twin transition of the textile industry: A systematic literature review.","source":"pubmed","abstract":"The textile industry, a significant resource consumer and polluter, ranks as the fourth-largest sector in raw material consumption and the fifth-largest emitter of greenhouse gases. To address these significant environmental challenges, there is an urgent need for a transformative shift toward sustainable production paradigms. However, circular strategies specific to various textile materials still need to be explored in existing research. This manuscript examines the adoption of circular strategies in the textile industry, focusing on key materials such as cotton, polyester, wool, silk, linen, polyamide, viscose, flax, and azlons. A comprehensive systematic literature review of 82 eligible papers from the Scopus database identified critical research streams: circular strategies, digital technologies, and evaluation methods. Findings reveal that cotton and polyester have received the most attention in circular practices, particularly in areas such as closed-loop supply chains, textile waste management, reuse, recycling, etc. In contrast, materials like wool, silk, linen, polyamide, viscose, flax, and azlons have been insufficiently studied, highlighting a critical gap in the literature that needs to be addressed. The authors developed a conceptual framework based on these findings to enhance understanding of the current research landscape. This review emphasizes the need for further investigation into circular strategies for a broader range of textile materials and suggests potential pathways for future research, providing valuable insights for advancing sustainability in the textile sector.","url":"https://pubmed.ncbi.nlm.nih.gov/39955858/","authors":["Hassan R","Acerbi F","Terzi S","Rosa P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.wasman.2025.02.025","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39955553","name":"Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project.","source":"pubmed","abstract":"People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at significantly high risk of cardiovascular events (CVEs), however the predictive performance of traditional risk prediction methods are limited.","url":"https://pubmed.ncbi.nlm.nih.gov/39955553/","authors":["Kwiendacz H","Huang B","Chen Y","Janota O","Irlik K","Liu Y","Mantovani M","Zheng Y","Hendel M","Piaśnik J","Wójcik W","Alam U","Gumprecht J","Lip GYH","Nabrdalik K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 15","doi":"10.1186/s12933-025-02615-w","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39955000","name":"Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis and the Potential Reclassification of Variants of Unknown Clinical Significance.","source":"pubmed","abstract":"The National Academies of Sciences, Engineering, and Medicine issued a report on December 15, 2023, \"Foundational Research Gaps and Future Directions for Digital Twins.\" This described the importance of using biomimetic digital twins and multiomics in research. These were incorporated in the current analysis of patients with rheumatoid arthritis (RA). Exome sequencing, genotype-phenotype ranking, and biomimetic digital twin analysis were used to identify five pathogenic and one likely pathogenic DNA variants in patient samples analyzed, which were absent from controls. The variants identified in these genes, P2RX7, HTRA2, PTPN22, FLG, CD46, and EIF4G1, play a role in the development of RA. Additionally, 3172 variants of unknown clinical significance (VUSs) were identified in patient samples, which were absent from controls. All VUSs appeared to be associated with RA. Hidden or dark data were identified from six genes. These genes, often found in patient samples, included HIF1A, HLA-DOA, PTGER3, HIPK3, TGFBR3, and HIF1A-AS3. VUSs identified in genes HIF1A, HLA-DOA, PTGER3, and HIPK3 were directly related to the pathogenesis of RA, whereas VUSs identified in genes TGFBR3 and HIF1A-AS3 were indirectly related. The current results suggest that biomimetic digital twins and multiomics can provide further insight into the development of RA. This may also potentially help with the process of reclassifying VUSs. The reclassification of VUSs will play a critical role in complex molecular diagnostics and drug development.","url":"https://pubmed.ncbi.nlm.nih.gov/39955000/","authors":["Kearns WG","Glick J","Baisch L","Benner A","Brough D","Du L","Germain C","Kearns L","Stamoulis G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.jmoldx.2024.12.012","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39948367","name":"Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).","source":"pubmed","abstract":"Wind power constitutes a pivotal component in the quest for carbon neutrality, serving as a principal renewable energy source. Enhancing the accuracy of wind power forecasting facilitates more efficient exploitation of this resource, with deep-learning models, notably Long Short-Term Memory (LSTM), proving effective in advancing forecasting capabilities within this domain. Nevertheless, the accuracy of wind power forecasting is undermined by the inaccurate forecasted wind speed, which diminish the reliability of such predictions. To address this challenge, we propose the model \"LSTM with Adaptive Wind Speed Calibration (C-LSTM)\", which integrates a mechanism into LSTM that autonomously calibrates forecasted wind speed during the training and inference phase. Specifically, considering the inherent continuity of wind speed, C-LSTM fuses historical wind speed with forecasted wind speed using adaptive weighting parameters. This integration is harmonized with the concurrent updating of the other parameters of C-LSTM, thereby ensuring a dynamic adaptation process that bolsters the model's capacity to coordinate discrepancies between forecasted and actual wind speeds. Experiments conducted across 25 distinct wind turbines have demonstrated that C-LSTM significantly outperforms LSTM in both Mean Squared Error (MSE) and accuracy metrics when the latter directly incorporates forecasted or historical wind speeds. This disparity underscores the efficacy of the adaptive wind speed calibration technique employed within the C-LSTM framework.","url":"https://pubmed.ncbi.nlm.nih.gov/39948367/","authors":["Wang D","Xu M","Guangming Z","Luo F","Gao J","Chen Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 13","doi":"10.1038/s41598-025-89398-y","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39948166","name":"Author Correction: An online monitoring method of milling cutter wear condition driven by digital twin.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39948166/","authors":["Zi X","Gao S","Xie Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 13","doi":"10.1038/s41598-025-89670-1","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39947910","name":"Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories.","source":"pubmed","abstract":"Radiopharmaceutical therapy (RPT), with its targeted delivery of cytotoxic ionizing radiation, demonstrates significant potential for treating a wide spectrum of malignancies, with particularly unique benefits for metastatic disease. There is an opportunity to optimize RPTs and enhance the precision of theranostics by moving beyond a one-size-fits-all approach and using patient-specific image-based dosimetry for personalized treatment planning. Such an approach, however, requires accurate methods and tools for the mathematic modeling and prediction of dose and clinical outcome. To this end, the SNMMI AI-Dosimetry Working Group is promoting the paradigm of computational nuclear oncology: mathematic models and computational tools describing the hierarchy of etiologic mechanisms involved in RPT dose response. This includes radiopharmacokinetics for image-based internal dosimetry and radiobiology for the mapping of dose response to clinical endpoints. The former area originates in pharmacotherapy, whereas the latter originates in radiotherapy. Accordingly, models and methods developed in these predecessor disciplines serve as a foundation on which to develop a repurposed set of tools more appropriate to RPT. Over the long term, this computational nuclear oncology framework also promises to facilitate widespread cross-fertilization of ideas between nuclear medicine and the greater mathematic and computational oncology communities.","url":"https://pubmed.ncbi.nlm.nih.gov/39947910/","authors":["Yusufaly T","Roncali E","Brosch-Lenz J","Uribe C","Jha AK","Currie G","Dutta J","El-Fakhri G","McMeekin H","Pandit-Taskar N","Schwartz J","Shi K","Strigari L","Zaidi H","Saboury B","Rahmim A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr 1","doi":"10.2967/jnumed.124.267927","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39947146","name":"Digital Twins: The Future of Personalized Nutrition and Health?","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39947146/","authors":["Abrahams M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1159/000543483","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39946790","name":"Defining myocardial fiber bundle architecture in atrial digital twins.","source":"pubmed","abstract":"A key component in developing atrial digital twins (ADT) - virtual representations of patients' atria - is the accurate prescription of myocardial fibers which are essential for the tissue characterization. Due to the difficulty of reconstructing atrial fibers from medical imaging, a widely used strategy for fiber generation in ADT relies on mathematical models. Existing methodologies utilize semi-automatic approaches, are tailored to specific morphologies, and lack rigorous validation against imaging fiber data. In this study, we introduce a novel atrial Laplace-Dirichlet-Rule-Based Method (LDRBM) for prescribing highly detailed myofiber orientations and providing robust regional annotation in bi-atrial morphologies of any complexity. The robustness of our approach is verified in eight extremely detailed bi-atrial geometries, derived from a sub-millimeter Diffusion-Tensor-Magnetic-Resonance Imaging (DTMRI) human atrial fiber dataset. We validate the LDRBM by quantitatively recreating each of the DTMRI fiber architectures: a comprehensive comparison with DTMRI ground truth data is conducted, investigating differences between electrophysiology (EP) simulations provided by either LDRBM and DTMRI fibers. Finally, we demonstrate that the novel LDRBM outperforms current state-of-the-art (LDRBMs and Universal Atrial Coordinates) fiber models, confirming the exceptional accuracy of our methodology and the critical importance of incorporating detailed fiber orientations in EP simulations. Ultimately, this work represents a fundamental step towards the development of physics-based digital twins of the human atria, establishing a new standard for prescribing fibers in ADT.","url":"https://pubmed.ncbi.nlm.nih.gov/39946790/","authors":["Piersanti R","Bradley R","Ali SY","Quarteroni A","Dede' L","Trayanova NA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.compbiomed.2025.109774","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39946778","name":"Implementation of a Cellular Automaton for efficient simulations of atrial arrhythmias.","source":"pubmed","abstract":"In silico models offer a promising advancement for studying cardiac arrhythmias and their clinical implications. However, existing detailed mathematical models often suffer from prolonged computational time compared to diagnostic needs. This study introduces a Cellular Automaton (CA) model tailored to replicate atrial electrophysiology in different stages of Atrial Fibrillation (AF), including persistent AF (PsAF). The CA, using a finite set of states, has been trained using biophysical simulations on a reduced domain for a large set of pacing conditions. Fine-tuning included tissue heterogeneity and anisotropic propagation through pacing simulations. Characterized by Action Potential Duration (APD), Diastolic Interval (DI) and Conduction Velocity (CV) for varying levels of electrical remodeling, the biophysical simulations introduced restitution curves or surfaces into the CA. Validation involved a comprehensive comparison with realistic 2D and 3D atrial models, evaluating healthy and pro-arrhythmic behaviors. Comparisons between CA and biophysical solver revealed striking proximity, with a Cycle Length difference of &lt;10 ms in self-sustained re-entry and a 4.66&#xb1;0.57 ms difference in depolarization times across the complete atrial geometry. Notably, the CA model exhibited a 80% accuracy, 96% specificity and 45% sensitivity in predicting AF inducibility under different pacing sites and substrate conditions. Additionally, the CA allowed for a 64-fold decrease in computing time compared to the biophysical solver. CA emerges as an efficient and valid model for simulation of atrial electrophysiology across different stages of AF, with potential as a general screening tool for rapid tests. While biophysical tests are recommended for investigating specific mechanisms, CA proves valuable in clinical applications for personalized therapy planning through digital twin simulations.","url":"https://pubmed.ncbi.nlm.nih.gov/39946778/","authors":["Romitti GS","Liberos A","Termenón-Rivas M","Barrios-Álvarez de Arcaya J","Serra D","Romero P","Calvo D","Lozano M","García-Fernández I","Sebastian R","Rodrigo M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.media.2025.103484","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39943527","name":"Towards Digital-Twin Assisted Software-Defined Quantum Satellite Networks.","source":"pubmed","abstract":"The Quantum Internet (QI) necessitates a complete revision of the classical protocol stack and the technologies used, whereas its operating principles depend on the physical laws governing quantum mechanics. Recent experiments demonstrate that Optical Fibers (OFs) allow connections only in urban areas. Therefore, a novel Quantum Satellite Backbone (QSB) composed of a considerable number of Quantum Satellite Repeaters (QSRs) deployed in Low Earth Orbit (LEO) would allow for the overcoming of typical OFs' attenuation problems. Nevertheless, the dynamic nature of the scenario represents a challenge for novel satellite networks, making their design and management complicated. Therefore, we have designed an ad hoc QSB considering the interaction between Digital Twin (DT) and Software-Defined Networking (SDN). In addition to defining the system architecture, we present a DT monitoring protocol that allows efficient status recovery for the creation of multiple End-to-End (E2E) entanglement states. Moreover, we have evaluated the system performance by assessing the path monitoring and configuration time, the time required to establish the E2E entanglement, and the fidelity between a couple of Ground Stations (GSs) interconnected through the QSB, also conducting a deep analysis of the created temporal paths.","url":"https://pubmed.ncbi.nlm.nih.gov/39943527/","authors":["Chiti F","Pecorella T","Picchi R","Pierucci L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 31","doi":"10.3390/s25030889","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39943483","name":"Smart Maintenance Solutions: AR- and VR-Enhanced Digital Twin Powered by FIWARE.","source":"pubmed","abstract":"In the modern era of industrial digitalization, the convergence of the Internet of Things (IoT), advanced data analysis, augmented reality (AR) and virtual reality (VR) is significantly transforming various industrial sectors. This research aimed to study and develop a proposal for an integrated system that combines IoT, data analysis, AR and VR for the monitoring and maintenance of industrial equipment. The importance of this research lies in its potential to contribute to the implementation of predictive maintenance solutions, which can significantly reduce machine downtime in an industrial environment and thus reduce or prevent operational failures. The central research question of this work was the following: how can the integration of IoT, data analysis and augmented and virtual reality contribute to optimizing industrial maintenance? We tested the combination of technologies to enable the creation of an effective predictive maintenance system, capable of alerting operators to anomalous conditions and providing detailed visual instructions for maintenance tasks. As a result, a prototype system was developed and tested, and it has shown the potential to evolve into a real system in an industrial environment.","url":"https://pubmed.ncbi.nlm.nih.gov/39943483/","authors":["Costa A","Miranda J","Dias D","Dinis N","Romero L","Faria PM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 30","doi":"10.3390/s25030845","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39943343","name":"Digital Twin Smart City Visualization with MoE-Based Personal Thermal Comfort Analysis.","source":"pubmed","abstract":"Digital twin technology us used to create accurate virtual representations of objects or systems. Digital twins span the object's life cycle and keep updated with real-time data. Therefore, their simulation capabilities can be combined with deep learning to create a system that simulates scenarios, enabling analysis. As cities continue to grow and the demand for sustainable development increases, digital twin technology, combined with AI-driven analysis, will play a critical role in shaping the future of urban environments. The ability to accurately simulate and manage complex systems in real time opens up new possibilities for optimizing energy usage, reducing costs, and improving the quality of life for urban residents. In this study, a digital twin application is built to visualize a smart area in South Korea, utilizing a deep learning model for personal thermal comfort analysis, which can be useful for managing and saving building and household energy consumption. Using Cesium for Unreal, a powerful tool for integrating 3D geospatial data, and leveraging DataSmith to convert 3D data into Unreal Engine format, this study also contributes a roadmap for smart city application development, which is currently considered to be lacking. By creating a robust framework for smart city applications, this research not only addresses current challenges but also lays the groundwork for future innovations in urban planning and management.","url":"https://pubmed.ncbi.nlm.nih.gov/39943343/","authors":["Lam HK","Lam PD","Ok SY","Lee SH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 24","doi":"10.3390/s25030705","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39943317","name":"Ultrasonic Sensor Modeling with Support Vector Regression.","source":"pubmed","abstract":"This study proposes a novel approach for predicting the output behaviors of the Pepperl+Fuchs 3RG6232-3JS00-PF ultrasonic sensor. The sensor, integrated into the Festo MPS-PA Didactic System, serves to monitor the water level in a tank, facilitating water extraction to bottles delivered via a conveyor belt. This modeling approach represents the initial phase in the creation of a digital twin of the physical sensor, providing the capability for users to observe the sensor's response and forecast its life cycle for maintenance objectives. This study utilizes the Festo MPS-PA Compact Didactic System and support vector regression (SVR) for data acquisition (DAQ), preprocessing, and model training with hyperparameter optimization. The objective of this modeling approach is to establish a digital framework for transition towards Industry 4.0. It holds the potential for creating a digital counterpart of the entire MPS-PA System when combining the proposed sensor modeling technique with computer-assisted design (CAD) software such as Siemens NX in the future. This would enable users to oversee the entire process in a three-dimensional visualization engine, such as Tecnomatix Plant Simulation. This research significantly contributes to the comprehension and application of digital twins in the realm of mechatronics and sensor systems technology. It also underscores the importance of digital twins in enhancing the efficiency and predictability of sensor systems. The method used in this paper involves predicting the rate of change (RoC) of the water level and then integrating this rate to estimate the actual water level, providing a robust approach for sensor data modeling and digital twin creation. The result shows a promising 6.99% error percentage.","url":"https://pubmed.ncbi.nlm.nih.gov/39943317/","authors":["Dang DN","Do TM","Araújo RAM","Nguyen KHV","Le CD"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25030678","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39940519","name":"Closed-Loop Recycling of Poly(vinyl butyral) Interlayer Film via Restabilization Technology.","source":"pubmed","abstract":"Polyvinyl butyral (PVB) is a specialty polymer primarily used as an interlayer in laminated glass applications with no current circularity plan after the end of its life. This study presents a comprehensive recycling strategy for postconsumed PVB wastes based on a remelting-restabilization approach. Thermo-oxidative degradation of PVB was analyzed under heat and shear stress conditions in an internal mixer apparatus. The degradation mechanism of plasticized PVB (p-PVB) and unplasticized PVB (u-PVB) was identified as chain scission through melt flow rate (MFR), intrinsic viscosity (IV), and yellowness index (YI) characterization. Six different antioxidant (AO) formulations were screened for their effectiveness in inhibiting degradation in both neat u-PVB and p-PVB, as well as retrieved PVB. The phenolic antioxidants 1,3,5-trimethyl-2,4,6-tris(3,5-di-tert-butyl-4-hydroxybenzyl)benzene and 4-[[4,6-bis(octylsulfanyl)-1,3,5-triazin-2-yl]amino]-2,6-di-tert-butylphenol were found to be the most effective ones based on MFR, oxidation onset temperature (OOT), and YI evaluations, while the optimal AO concentration was determined at 0.3% w / w . Furthermore, upscaling of the process was achieved by mixing virgin PVB and high-quality retrieved PVB wastes with AOs in a twin-screw extruder. Testing of the recycled samples confirmed that the selected AOs offered resilience against degradation at reprocessing and protection during the next service life of the material.","url":"https://pubmed.ncbi.nlm.nih.gov/39940519/","authors":["Nikitakos V","Porfyris AD","Beltsios K","Pfaendner R","Yecora B","Perez A","Brkić F","Miketa F","Papaspyrides CD"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 24","doi":"10.3390/polym17030317","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39934805","name":"A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.","source":"pubmed","abstract":"This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this method were also verified.Twenty college students were recruited to pedal a stationary bike. Inertial sensors and a smartphone simultaneously recorded the participants' cycling movement. Keypoint RCNN(KR) algorithm was used to acquire 2D coordinates of the participants' skeletal keypoints from the recorded movement video. Spearman's rank correlation analysis, intraclass correlation coefficient (ICC), error analysis, and t-test were conducted to compare the consistency of data obtained from the two movement capture systems, including the peak frequency of acceleration, transition time point between movement statuses, and the complexity index average (CIA) of the movement status based on multiscale entropy analysis.The KR algorithm showed excellent consistency (ICC 1,3 =0.988) between the two methods when estimating the peak acceleration frequency. Both peak acceleration frequencies and CIA metrics estimated by the two methods displayed a strong correlation (r&#x2009;&gt;&#x2009;0.70) and good agreement (ICC 2,1 &gt;0.750). Additionally, error values were relatively low (MAE&#x2009;=&#x2009;0.001 and 0.040, MRE&#x2009;=&#x2009;0.00% and 7.67%). Results of t-tests showed significant differences (p&#x2009;=&#x2009;0.003 and 0.030) for various acceleration CIAs, indicating our method could distinguish different movement statuses.The KR algorithm also demonstrated excellent intra-session reliability (ICC&#x2009;=&#x2009;0.988). Acceleration frequency analysis metrics derived from the KR method can accurately identify transitions among movement statuses. Leveraging the KR algorithm and signal processing techniques, the proposed method is designed for individualized motor function evaluation in home or community-based settings.","url":"https://pubmed.ncbi.nlm.nih.gov/39934805/","authors":["He Y","Jan YH","Yang F","Ma Y","Pei C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 11","doi":"10.1186/s12911-024-02828-1","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39934313","name":"Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management.","source":"pubmed","abstract":"The increasing complexity of hydropower systems necessitates advanced control strategies to optimize performance and enhance system reliability. This paper presents a novel approach that integrates Type-2 Fuzzy Logic Controllers (T2FLC), Digital Twin technology, and Neural Networks for comprehensive management of hydropower systems. The proposed hybrid system aims to improve load management, fault detection, and operational efficiency. Our method employs a Type-2 Fuzzy Logic Controller to handle uncertainty and imprecision in system control. The Digital Twin creates a dynamic simulation model of the hydropower system, allowing real-time monitoring and predictive analysis. Neural Networks further enhance this system by providing predictive insights based on historical and real-time data. Specifically, the hybrid system achieved a 10.96% increase in load management efficiency and a 12.64% reduction in fault detection time compared to traditional methods. The Digital Twin model contributed to a 18.21% improvement in predictive accuracy, while the Neural Networks enhanced control decisions, resulting in a 8.05% reduction in operational deviations. Furthermore, the proposed approach showed a 11.48% improvement in overall system reliability and a 13.04% reduction in maintenance costs, illustrating the practical benefits of integrating advanced control and predictive technologies. These results underscore the effectiveness of combining T2FLC, Digital Twin, and Neural Networks, offering a substantial advancement in hydropower system management. The proposed method not only enhances system performance but also provides a robust framework for future advancements in intelligent control strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/39934313/","authors":["Zeng Y","Hussein ZA","Chyad MH","Farhadi A","Yu J","Rahbarimagham H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 11","doi":"10.1038/s41598-025-89866-5","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39934290","name":"Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging.","source":"pubmed","abstract":"Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large omic datasets, in order to study biological aging at the molecular level. We develop an advanced multi-view graph-level representation learning (MGRL) framework that integrates prior biological network information, to build molecular aging clocks at cell-type resolution, which we subsequently interpret using XAI. We apply this framework to one of the largest single-cell transcriptomic datasets encompassing over a million immune cells from 981 donors, revealing a ribosomal gene subnetwork, whose expression correlates with age independently of cell-type. Application of the same DL-XAI framework to DNA methylation data of sorted monocytes reveals an epigenetically deregulated inflammatory response pathway whose activity increases with age. We show that the ribosomal module and inflammatory pathways would not have been discovered had we used more standard machine-learning methods. In summary, the computational deep learning framework presented here illustrates how deep learning when combined with explainable AI tools, can reveal novel biological insights into the complex process of aging.","url":"https://pubmed.ncbi.nlm.nih.gov/39934290/","authors":["Li ZP","Du Z","Huang DS","Teschendorff AE"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 11","doi":"10.1038/s41598-025-89646-1","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39934260","name":"Extreme two-phase change of ionospheric electron temperature overshoot during geomagnetic storms.","source":"pubmed","abstract":"An intense surge in the equatorial electron temperature (T e ) at sunrise, known as the morning T e overshoot, has been one of the defining ionospheric features since its discovery early in the Space Age. Despite decades of study, the behavior of the morning overshoot during geomagnetic storms remains poorly understood. We report a two-stage response of the morning T e overshoot to geomagnetic activity, uncovered by a neural network model. Electron temperatures show an initial enhancement during the storm's main phase, followed by a drastic depletion exceeding 1000 K and disappearance of the overshoot in the recovery phase. This two-phase change aligns with the early influence of westward prompt penetration electric field, overtaken by the development of the eastward disturbance dynamo later in the storm. These electric field changes affect vertical plasma drifts that redistribute electron densities, modifying ionospheric cooling rates. Our findings provide new insights into the dynamics of one of the most widely studied ionospheric features and showcase the potential of new-generation digital twin models of near-Earth space environment to reveal previously unrecognized physical patterns.","url":"https://pubmed.ncbi.nlm.nih.gov/39934260/","authors":["Smirnov A","Shprits Y","Lühr H","Pignalberi A","Kronberg E","Prol F","Xiong C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 11","doi":"10.1038/s41598-025-89602-z","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39929926","name":"Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data.","source":"pubmed","abstract":"At the forefront of bridging computational brain modeling with personalized medicine, this study introduces a novel, real-time, electrocorticogram (ECoG) simulator, based on the digital twin brain concept. Utilizing advanced data assimilation techniques, specifically a Variational Bayesian Recurrent Neural Network model with hierarchical latent units, the simulator dynamically predicts ECoG signals reflecting real-time brain latent states. By assimilating broad ECoG signals from macaque monkeys across awake and anesthetized conditions, the model successfully updated its latent states in real-time, enhancing precision of ECoG signal simulations. Behind successful data assimilation, self-organization of latent states in the model was observed, reflecting brain states and individuality. This self-organization facilitated simulation of virtual drug administration and uncovered functional networks underlying changes in brain function during anesthesia. These results show that the proposed model can simulate brain signals in real-time with high accuracy and is also useful for revealing underlying information processing dynamics.","url":"https://pubmed.ncbi.nlm.nih.gov/39929926/","authors":["Takahashi Y","Idei H","Komatsu M","Tani J","Tomita H","Yamashita Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 10","doi":"10.1038/s41746-025-01444-1","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39926497","name":"Platform Process for an Autonomous Production of Virus-like Particles.","source":"pubmed","abstract":"Virus-like particles (VLPs) are a promising platform as carriers for vaccination and general treatments against many pathogens. While there are long development timelines and challenges in the production of clinical-grade VLPs, this study introduces a platform process for the production and purification of those particles, aided by process analytical technology (PAT). Fed-batch cultivation and consecutive purification, including novel membrane technology and anion-exchange chromatography, showed robust process performance with design and control spaces defined in previous studies. A novel, stable HEK293F cell line generated using the highly efficient Sleeping Beauty transposon vector technology showed a 3.6-fold increase in productivity compared to a reference cell line established using PiggyBac vector components. The in situ microscope from SOPAT GmbH successfully predicted the viable cell density of a mammalian cell culture, which had been demonstrated for the first time with this type of ISM. Furthermore, Raman, FTIR, and DAD spectroscopies were able to predict the main metabolites and impurities when implemented in the upstream process. FTIR spectra also depicted changes in the buffer composition, therefore enabling robust process control for the prediction of the buffer exchange rate during diafiltration. The applied PAT strategy can deliver real-time data, which is crucial when predictive control is realized with a digital twin. Combined with a robust platform process, the stated control strategy can pave the way toward the autonomous production of VLPs.","url":"https://pubmed.ncbi.nlm.nih.gov/39926497/","authors":["Baukmann S","Hengelbrock A","Katsoutas K","Stitz J","Schmidt A","Strube J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 4","doi":"10.1021/acsomega.4c09694","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39926086","name":"The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration.","source":"pubmed","abstract":"Preemptive medicine represents a paradigm shift from reactive treatment to proactive disease prevention. The integration of omics technologies, the Internet of Things (IoT), and artificial intelligence (AI) has facilitated the development of personalized, predictive, and preemptive healthcare strategies. Omic technologies, such as genomics, proteomics, and metabolomics, provide comprehensive insights into molecular profile of an individual, revealing potential disease predispositions and health trajectories. IoT devices, such as wearables and smartphones, enable continuous and periodic monitoring of physiological parameters, thus providing a dynamic view of an individual's health status. AI algorithms analyze comprehensive and complex data from omics and IoT technologies to identify patterns and correlations that inform predictive models of disease risk, progression, and response to interventions. Medical digital twins, or virtual replicas of an individual's biological processes, have emerged as the cornerstone of preemptive medicine. The integration of omics, IoT, and AI enables the development of medical digital twins, which in turn allows for precise simulation of human physiological profiles, prediction of future health outcomes, and virtual individual clinical trials, facilitating personalized proactive interventions and preemptive disease control. This review demonstrates the convergence of omics, IoT, and AI in preemptive medicine, highlighting their potential to revolutionize healthcare by enabling early disease detection, personalized treatment strategies, and chronic disease prevention. We show how AI leverages omics and IoT in preemptive medicine through several case studies while also discussing the necessary data for developing medical digital twins and addressing ethical and social aspects that warrant consideration. Medical digital twins signify a fundamental transformation in health management, shifting from treating diseases after their occurrence to controlling them before their occurrence. This approach enhances the effectiveness of medical interventions and improves overall health outcomes, preparing for a healthier future.","url":"https://pubmed.ncbi.nlm.nih.gov/39926086/","authors":["Ooka T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 15","doi":"10.31662/jmaj.2024-0213","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39924710","name":"Digital Twinning of Interorgan Communications.","source":"pubmed","abstract":"Recent advances in our ability to collect and process information, particularly through artificial intelligence, opens up some exciting possibilities for understanding interorgan communication and treating conditions that arise from that communication breaking down. We describe a vision of a digital twin of interorgan communication that will give us a testbed for virtually researching, teaching and searching treatments, greatly increasing our capabilities to understand and manage the complex interactions in our bodies.","url":"https://pubmed.ncbi.nlm.nih.gov/39924710/","authors":["Fortnow L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1002/cph4.70002","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39924624","name":"Renal function and adverse clinical events in anticoagulated patients with atrial fibrillation: insights from the GLORIA-AF Registry Phase III.","source":"pubmed","abstract":"Renal function, assessed by creatinine clearance (CrCl), affects the efficacy and safety of oral anticoagulant (OAC) therapy in patients with atrial fibrillation (AF). To investigate the association between CrCl and the risk of clinical adverse events and compare the safety profiles of vitamin K antagonists (VKA) and non-vitamin K antagonist oral anticoagulants (NOAC). Patients with newly diagnosed AF (&lt;&#x2009;3 months before baseline visit) were collected from the prospective Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry Phase III. Clinical events assessed included the composite outcome (all-cause death, thromboembolism, and major bleeding), cardiovascular (CV) death, myocardial infarction (MI), and other single outcomes. 10,594 AF patients (mean age 70.35&#x2009;&#xb1;&#x2009;9.92 years; 55% male; 73% on NOAC) were included. Increasing CrCl was associated with decreased risks of all cause death, composite outcomes and CV-death with in patients with CrCl&#x2009;&lt;&#x2009;80 mL/min. Multivariate Cox models indicated that compared to VKA, NOAC was associated with lower risks of all cause death (adjusted hazard ratio [aHR] 0.68, 95% CI 0.58-0.78), composite outcomes (aHR 0.77, 95% CI 0.69-0.86), CV-death (aHR 0.70, 95% CI 0.56-0.87), and major bleeding (aHR 0.74, 95% CI 0.61-0.91) in AF patients. For CrCl&#x2009;&lt;&#x2009;30 mL/min, lower risks of all-cause death, composite outcomes and CV death were related to NOAC therapy. In this large prospective global registry, NOACs were associated with better outcomes compared with VKA for patients with normal or impaired renal function.","url":"https://pubmed.ncbi.nlm.nih.gov/39924624/","authors":["Liu Y","Lam SHM","Romiti GF","Huang B","Chen Y","Chao TF","Olshansky B","Hong K","Huisman MV","Lip GYH","GLORIA-AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1007/s11239-025-03067-5","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39922496","name":"Towards robotic Laboratory Automation Plug & Play: LAPP reference implementation with the TIAGo mobile manipulator.","source":"pubmed","abstract":"Laboratory automation with mobile manipulators presents a promising avenue for enhancing efficiency and reducing the dependency on human activity in laboratory workflows. To achieve seamless integration, the Laboratory Automation Plag &amp; Play concept has been introduced. This study presents an experimental implementation of the LAPP concept through the development of labware transfer functionality for a mobile manipulator employing the SiLA and ROS frameworks as widely accepted control layers. While validating the feasibility of the LAPP concept, this reference implementation accentuates the need for advancements in both hardware and software environments to fully capitalize on its benefits in contemporary laboratory settings.","url":"https://pubmed.ncbi.nlm.nih.gov/39922496/","authors":["Zsoldos P","Wolf Á","Széll K","Galambos P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.slast.2025.100251","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39921010","name":"Towards a digital twin of primary drying in lyophilization using coupled 3-D equipment CFD and 1-D vial-scale simulations.","source":"pubmed","abstract":"A digital twin of lyophilization units was developed to facilitate the scale-up of the lyophilization process from the laboratory to the commercial scale. Our focus was on ensuring successful technology transfer for manufacture of high-quality drug products. Traditionally, lyophilization models have been specific either to the equipment or to the vial. In this study, we integrated the equipment and the vial models in a way that they mutually influenced each other via boundary conditions (two-way coupling). We conducted two sets of calculations. Firstly, we performed steady-state simulations using Computational Fluid Dynamics (CFD) to simulate an ice slab test, which helped determine the equipment capability curve. Secondly, we carried out transient, coupled simulations using a coupled 3-D CFD and 1-D vial scale simulation model to mimic the primary drying phase in a lyophilizer. Using the coupled 3-D CFD and 1-D vial scale model, we were able to determine the product temperature, the sublimation rate and the cycle time based on the temporal and spatial conditions in the lyophilizer. The coupled approach was then applied to capture the effects of process disturbances and failure conditions in the lyophilizer, which enables a more robust process design.","url":"https://pubmed.ncbi.nlm.nih.gov/39921010/","authors":["Zadravec M","Metsi-Guckel E","Kamenik B","Remelgas J","Khinast J","Roscioli N","Flamm M","Renawala H","Najarian J","Karande A","Sarkar A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.ejpb.2025.114662","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39920778","name":"Digital twins as global learning health and disease models for preventive and personalized medicine.","source":"pubmed","abstract":"Ineffective medication is a major healthcare problem causing significant patient suffering and economic costs. This issue stems from the complex nature of diseases, which involve altered interactions among thousands of genes across multiple cell types and organs. Disease progression can vary between patients and over time, influenced by genetic and environmental factors. To address this challenge, digital twins have emerged as a promising approach, which have led to international initiatives aiming at clinical implementations. Digital twins are virtual representations of health and disease processes that can integrate real-time data and simulations to predict, prevent, and personalize treatments. Early clinical applications of DTs have shown potential in areas like artificial organs, cancer, cardiology, and hospital workflow optimization. However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes across multiple biological scales; (2) developing computational methods to integrate data into DTs; (3) prioritizing disease mechanisms and therapeutic targets; (4) creating interoperable DT systems that can learn from each other; (5) designing user-friendly interfaces for patients and clinicians; (6) scaling DT technology globally for equitable healthcare access; (7) addressing ethical, regulatory, and financial considerations. Overcoming these hurdles could pave the way for more predictive, preventive, and personalized medicine, potentially transforming healthcare delivery and improving patient outcomes.","url":"https://pubmed.ncbi.nlm.nih.gov/39920778/","authors":["Li X","Loscalzo J","Mahmud AKMF","Aly DM","Rzhetsky A","Zitnik M","Benson M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 7","doi":"10.1186/s13073-025-01435-7","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39919444","name":"Evaluation of boundary conditions for predicting femoral bone-implant mechanics during gait in the absence of comprehensive medical imaging.","source":"pubmed","abstract":"Finite element analysis (FEA) is nowadays a pivotal tool in orthopaedic research for personalized virtual surgery planning. Despite its widespread use, a comprehensive evaluation of the effect of boundary conditions on the simulation of physiological mechanics in implanted bone is currently lacking. This study assesses the impact of boundary conditions and femur geometry on predicted femur mechanics. It focuses on an isolated implanted femur, partially imaged, from a paediatric patient with femoral varus who underwent a proximal femoral osteotomy. By employing FEA of the femur under motion with loading scenarios informed by personalized neuromusculoskeletal modelling, this study evaluated implant and bone mechanics across three femur model configurations (full-femur, proximal half-femur, and distally synthesized full-femur) with two boundary condition approaches (biomechanical and fixed distal). The biomechanical boundary condition was validated against the gold standard inertia relief method for the natural femur and thereafter exploited as the benchmark against the other implanted femur model configurations. The distally synthesized full-femur with biomechanical boundary conditions performed best and closely predicted bone-implant micromotion (R 2 &#xa0;=&#xa0;0.99, nRMSE&#xa0;=&#xa0;0.3%), risk of implant yield (&lt;1% variance from the benchmark model), and interfragmentary movement (R 2 &#xa0;=&#xa0;1, nRMSE&#xa0;=&#xa0;6%). The half-femur model with biomechanical boundary conditions overpredicted the risk of yield and interfragmentary movements by 17% and 15.8%, respectively. The fixed distal constraint method significantly overestimated the risk of implant yield in both half and synthesized full-femur models by 157% and 170%, respectively. These findings underscore the critical importance of selecting appropriate boundary conditions in the FEA of implanted femur models and advocate for the synthesis of the missing portion of the femur coupled with the biomechanical boundary conditions for more accurate predictions of bone and implant mechanics. Such insights are expected to enhance the physiological plausibility and reliability of orthopaedic research and clinical practices, especially when managing proximal femoral osteotomies.","url":"https://pubmed.ncbi.nlm.nih.gov/39919444/","authors":["Eghan-Acquah E","Bavil AY","Diamond LE","Barrett R","Carty CP","Barzan M","Bade D","Nasseri A","Lloyd DG","Saxby DJ","Feih S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.jmbbm.2025.106908","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39917880","name":"What is personalized lung poromechanical modeling and how can it improve the understanding and management of fibrotic interstitial lung diseases?","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39917880/","authors":["Brillet PY","Peyraut A","Bernaudin JF","Fetita C","Nunes H","Genet M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 10","doi":"10.1080/17476348.2025.2464886","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39916128","name":"Contraction and synchronization in reservoir systems.","source":"pubmed","abstract":"This paper explores the conditions under which global contraction manifests in the leaky continuous time reservoirs, thus guaranteeing generalized synchronization. Results on continuous time reservoirs make use of the logarithmic norm of the connectivity matrix. Further analysis yields some simple guidelines on how to better construct the connectivity matrix in these systems. Additionally, we outline how the universal approximation property of discrete time reservoirs is readily satisfied by virtue of the activation function being contracting, and how continuous time reservoirs may inherit a limited form of universal approximation by virtue of them overlapping with neural ordinary differential equations. The ability of the reservoir computing framework to universally approximate topological conjugates, along with their fast training, make them a compelling data-driven, black-box surrogate of dynamical systems and a potential candidate for a component of digital twins.","url":"https://pubmed.ncbi.nlm.nih.gov/39916128/","authors":["Wong AS","Martin RS","Eckhardt DQ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1103/PhysRevE.110.064219","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39914841","name":"[Clinical research progress in non-invasive positive pressure ventilation from 2023 to 2024].","source":"pubmed","abstract":"The present review conducted a comprehensive search and retrieval of clinical studies related to non-invasive positive pressure ventilation (NPPV) for acute respiratory failure (ARF) and chronic respiratory failure (CRF) retrieved from Medline between October 1, 2023 and September 30, 2024. In the treatment of ARF with NPPV, experiments using Digital Twins had shown that excessive tidal volumes associated self-inflicted lung injury might contribute to NPPV failure. The administration of sedation and analgesia during NPPV was found to correlate with increased mortality. In patients with acute exacerbations of chronic obstructive pulmonary disease, high-intensity NPPV significantly reduced intubation rates. However, high-flow nasal cannula oxygen therapy (HFNC) was less effective than NPPV when used as an initial treatment. In the management of CRF patients, a Franch study examined the pre-NPPV health trajectory of COPD patients receiving home NPPV based on French national health insurance reimbursement system database and suggested that the timing of initiation of home NPPV treatment significantly influenced prognosis. In addition, the research found that remote management utilizing Internet of Things technology enhanced patients' health-related quality of life and reduced the risk of hospital readmission. In terms of preventing re-intubation, different underlying conditions exhibited different responses to NPPV treatment. Specifically, prophylactic use of NPPV was found to reduce the risk of reintubation in obese surgical patients, but not in those with acute brain injury. In terms of technological advancements, Bag-CPAP, a device consisting of an oxygen storage bag and medium flow oxygen, has been validated as an alternative ventilation choice suitable for resource-limited settings.","url":"https://pubmed.ncbi.nlm.nih.gov/39914841/","authors":["Huang QY","Zha SS","Guan LL","He ZF","Niu JY","Chen RC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 12","doi":"10.3760/cma.j.cn112147-20241118-00683","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39911426","name":"Digital twin-based applications in crop monitoring.","source":"pubmed","abstract":"Technological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores the use of digital twins in crop management, focusing on modeling methodologies, roles, implementation architecture, challenges, and prospects. The review identifies various modeling methods for digital twin development in crop monitoring, including physics-based, agent-based, data-driven, hybrid, and spatial models. These models provide up-to-date information on environmental conditions, soil moisture, and other variables affecting crop development and yield. Despite being in its early stages of implementation, digital twin technology is showing signs of progress, suggesting it could be the next step in crop farming's digitalization, increasing visibility and transparency, and improving decision-making processes. The review offers valuable insights and fills research gaps, enabling informed decisions for farmers, policymakers, and service providers to enhance productivity, sustainability, and resilience in modern agriculture.","url":"https://pubmed.ncbi.nlm.nih.gov/39911426/","authors":["Melesse TY","Tsega Y. Melesse"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 30","doi":"10.1016/j.heliyon.2025.e42137","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"pmid:39910889","name":"Absorbed dose differences between twin fetuses for pregnancy patients in CT examinations.","source":"pubmed","abstract":"Estimation of the radiation dose to the fetus is essential for the assessment of radiation risks and benefits to pregnant patients undergoing radiological examinations. During the past decade, the global twinning rate has soared resulting from embryo assistance and increased delivery age. However, to the best of our knowledge, radiation dosimetry in multiple pregnancies from radiological imaging has never been reported before.","url":"https://pubmed.ncbi.nlm.nih.gov/39910889/","authors":["Qu S","Jia H","Zaidi H","Xie T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1002/mp.17659","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39909180","name":"Premises for digital twins reporting on Atlantic salmon wellbeing.","source":"pubmed","abstract":"Many species of fish, birds and mammals commonly live in human captivity; Atlantic salmon Salmo salar is one of them. The international legal status of the welfare of captive animals is slowly developing and still requires rigorous specification. For example, even though fish have complex cognition and elements of sentience, The United Nations' animal welfare principles still take a functional health-centred perspective overlooking the cognitive-affective component. Wellbeing problems remain a major source of slow growth and high mortality in intensive aquaculture of Atlantic salmon. The value system for decision making in vertebrates is based on expectations of emotional wellbeing for the options available and is linked with the individual's assessment of its future. We propose a new approach for monitoring and improving the welfare of salmon (or any other captive or wild vertebrate) based on modelling the salmon's wellbeing system by digital twins, which are simulation models that implement major bodily mechanisms of the organism. Indeed, predictions on boredom, stress and wellbeing can all be captured by a computational evolutionary model of the factors underlying behaviour. We explain how such an agent-based model of salmon digital twins can be constructed by modelling a salmon's subjective wellbeing experience along with prediction of its near future and allostasis (the bodily preparation for the expected near future). We attempt to identify the building blocks required in digital twin models to deliver early warnings about escalating issues that could eventually lead to negative effects on salmon health in aquaculture. These models would provide critical insights for optimizing production processes and could significantly reduce the reliance on animal experiments. Overall, reports of a population of digital twins could support the implementation of 3Rs - replacement, reduction, refinement - by offering actionable information to fish farmers as well as consumers, voters, politicians and regulators on relevant issues as well as guide experimental work on animal wellbeing across species.","url":"https://pubmed.ncbi.nlm.nih.gov/39909180/","authors":["Giske J","Dumitru ML","Enberg K","Folkedal O","Handeland SO","Higginson AD","Opdal AF","Rønnestad I","Salvanes AGV","Vollset KW","Zennaro FM","Mangel M","Budaev S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.beproc.2025.105163","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39908904","name":"Transitioning from emission source to sink: Economic and environmental trade-offs for CO(2)-enhanced coalbed methane recovery of Mannville coal Canada.","source":"pubmed","abstract":"Economically viable and environmentally sustainable geological carbon sequestration (GCS) will be necessitated to mitigate the rising climate change. CO 2 -enhanced coalbed methane (CO 2 -ECBM) recovery offers a promising solution to address the dual challenges in energy security and environmental sustainability. However, scaling up CO 2 -ECBM requires comprehensive multi-perspective understanding at the system level. This work proposes an engineering, economic, and environmental (3E) system analysis framework to evaluate the multi-aspect benefits of CO 2 -ECBM, deploying the Mannville coal in Alberta, Canada, as an example. Four key findings are highlighted. First, we demonstrated deep unmineable coal seams are reliable CO 2 sinks in that 0.08&#xa0;kg of CO 2 can be stored per MJ of CBM production. Second, the levelized cost is $1.19/GJ with a carbon footprint of &#x223c;10 gCO 2 e/MJ using current technologies. GCS in coal enables carbon offsets due to CO 2 utilization. Third, carbon-neutral and carbon-negative CBM is achievable when CO 2 is point-sourced and from atmosphere, respectively. Lastly, the carbon dioxide removal (CDR) during CO 2 -ECBM can generate a trade-off of $4.7/GJ associated with 8.6&#xa0;g CDR (a net CDR efficiency of 6.2&#xa0;%). Economic viable CDR requires a carbon tax of $175/tCO 2 plus reducing direct air capture (DAC) costs to $115/tCO 2 or improving DAC efficiency to at least 86&#xa0;%. This novel integrated framework bridges the gap between energy engineers, economists, and policymakers, unlocking the potential to transform unmineable coal seams from a CO 2 source to a sink.","url":"https://pubmed.ncbi.nlm.nih.gov/39908904/","authors":["Ma H","Yang Y","Xue Z","Clarkson CR","Chen Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 25","doi":"10.1016/j.scitotenv.2025.178721","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39896947","name":"Digital Twin Technology in Resolving Polycystic Ovary Syndrome and Improving Metabolic Health: A Comprehensive Case Study.","source":"pubmed","abstract":"Clinical manifestations of polycystic ovary syndrome (PCOS) are heterogeneous, with hallmarks including anovulation, androgen excess, and insulin resistance.","url":"https://pubmed.ncbi.nlm.nih.gov/39896947/","authors":["Shamanna P","Maheshwari A","Keshavamurthy A","Bhat S","Kulkarni A","R S","K K","Gupta M","Thajudeen M","Kulkarni R","Patil S","Joshi S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan-Feb","doi":"10.1016/j.aace.2024.11.004","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39896515","name":"Tobacco smoke carcinogens exacerbate APOBEC mutagenesis and carcinogenesis.","source":"pubmed","abstract":"Mutations in somatic cells are inflicted by both extrinsic and intrinsic sources and contribute over time to cancer. Tobacco smoke contains chemical carcinogens that have been causatively implicated with cancers of the lung and head &amp; neck 1,2 . APOBEC family DNA cytosine deaminases have emerged as endogenous sources of mutation in cancer, with hallmark mutational signatures (SBS2/SBS13) that often co-occur in tumors of tobacco smokers with an equally diagnostic mutational signature (SBS4) 3,4 . Here we challenge the dogma that mutational processes are thought to occur independently and with additive impact by showing that 4-nitroquinoline 1-oxide (NQO), a model carcinogen for tobacco exposure, sensitizes cells to APOBEC3B (A3B) mutagenesis and leads to synergistic increases in both SBS2 mutation loads and oral carcinomas in vivo . NQO-exposed/A3B-expressing animals exhibit twice as many head &amp; neck lesions as carcinogen-exposed wildtype animals. This increase in carcinogenesis is accompanied by a synergistic increase in mutations from APOBEC signature SBS2, but not from NQO signature SBS4. Interestingly, a large proportion of A3B-catalyzed SBS2 mutations occurs as strand-coordinated pairs within 32 nucleotides of each other in transcribed regions, suggesting a mechanism in which removal of NQO-DNA adducts by nucleotide excision repair exposes short single-stranded DNA tracts to enzymatic deamination. These highly enriched pairs of APOBEC signature mutations are termed didyma (Greek for twins) and are mechanistically distinct from other types of clustered mutation ( omikli and kataegis ). Computational analyses of lung and head &amp; neck tumor genomes show that both APOBEC mutagenesis and didyma are elevated in cancers from smokers compared to non-smokers. APOBEC signature mutations and didyma are also elevated in normal lung tissues in smokers prior to cancer initiation. Collectively, these results indicate that DNA adducting mutagens in tobacco smoke can amplify DNA damage and mutagenesis by endogenous APOBEC enzymes and, more broadly, suggest that mutational mechanisms can interact synergistically in both cancer initiation and promotion.","url":"https://pubmed.ncbi.nlm.nih.gov/39896515/","authors":["Durfee C","Bergstrom EN","Díaz-Gay M","Zhou Y","Temiz NA","Ibrahim MA","Nandi SP","Wang Y","Liu X","Steele CD","Proehl J","Vogel RI","Argyris PP","Alexandrov LB","Harris RS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 22","doi":"10.1101/2025.01.18.633716","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39896406","name":"A hybrid path planning algorithm combining A* and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments.","source":"pubmed","abstract":"This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments. The proposed algorithm leverages the heuristic capabilities of A*, the optimization strengths of ACO, and the dynamic adaptability of DWA. Experimental results demonstrate that the IACO+A*+DWA approach consistently outperforms other hybrid methods across various metrics. In complex warehouse scenarios, the IACO+A*+DWA algorithm achieved an average energy consumption of 89.8 J, which is 13.3% lower than ACO+A*+DWA, 6.6% lower than GA+A*+DWA, and 25.8% lower than PSO+A*+DWA. The algorithm produced a path length of 95.94 m with 43 turns, compared to 97.36 m with 46 turns for ACO+A*+DWA, 104.43 m with 50 turns for GA+A*+DWA, and 97.84 m with 56 turns for PSO+A*+DWA. Time to goal was 197.93 s, 1.5% faster than GA+A*+DWA. Statistical analysis using ANOVA confirmed the significant differences between the algorithms in terms of energy consumption, path length, number of turns, and time taken, demonstrating the superior performance of IACO+A*+DWA. These results indicate that the IACO+A*+DWA algorithm minimizes energy consumption and produces shorter and more efficient paths, making it highly suitable for real-time applications in dynamic and complex warehouse environments. Future work will focus on further optimizing the algorithm and integrating machine learning techniques for enhanced adaptability and performance.","url":"https://pubmed.ncbi.nlm.nih.gov/39896406/","authors":["Wu M","Su ELM","Yeong CF","Dong B","Holderbaum W","Yang C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.7717/peerj-cs.2629","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39896252","name":"Atrial Fibrillation in Asia and Globally: \"Easy as ABC,\" \"It's an SOS,\" or \"Handle With CARE\".","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39896252/","authors":["Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1016/j.jacasi.2024.11.013","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39892686","name":"Neural-symbolic hybrid model for myosin complex in cardiac ventriculum decodes structural bases for inheritable heart disease from its genetic encoding.","source":"pubmed","abstract":"Human ventriculum myosin (&#x3b2;mys) powers contraction sometimes in complex with myosin binding protein C (MYBPC3). The latter regulates &#x3b2;mys activity and impacts cardiac function. Single residue variants (SRVs) change protein sequence in &#x3b2;mys or MYBPC3 causing inheritable heart diseases by affecting the &#x3b2;mys/MYBPC3 complex. Muscle genetics encode instructions for contraction informing native protein construction, functional integration, and inheritable disease impairment. A digital model decodes these instructions and evolves by processing new information content from diverse data modalities using a human partner-driven virtuous cycle optimization.","url":"https://pubmed.ncbi.nlm.nih.gov/39892686/","authors":["Burghardt TP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.abb.2025.110323","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39890986","name":"Convergence of evolving artificial intelligence and machine learning techniques in precision oncology.","source":"pubmed","abstract":"The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with cancer. By analyzing multi-dimensional, multiomic, spatial pathology, and radiomic data, these technologies enable a deeper understanding of the intricate molecular pathways, aiding in the identification of critical nodes within the tumor's biology to optimize treatment selection. The applications of AI/ML in precision oncology are extensive and include the generation of synthetic data, e.g., digital twins, in order to provide the necessary information to design or expedite the conduct of clinical trials. Currently, many operational and technical challenges exist related to data technology, engineering, and storage; algorithm development and structures; quality and quantity of the data and the analytical pipeline; data sharing and generalizability; and the incorporation of these technologies into the current clinical workflow and reimbursement models.","url":"https://pubmed.ncbi.nlm.nih.gov/39890986/","authors":["Fountzilas E","Pearce T","Baysal MA","Chakraborty A","Tsimberidou AM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 31","doi":"10.1038/s41746-025-01471-y","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39890846","name":"Proteogenomic analysis reveals Arp 2/3 complex as a common molecular mechanism in high risk pancreatic cysts and pancreatic cancer.","source":"pubmed","abstract":"Pancreatic cysts, particularly intraductal papillary mucinous neoplasms (IPMNs), pose a potential risk for progressing to pancreatic cancer (PC). This study investigates the genetic architecture of benign pancreatic cysts and its potential connection to PC using genome-wide association studies (GWAS). The discovery GWAS identified significant genetic variants associated with benign cysts, specifically the rs142409042 variant near the OPCML gene. A pairwise GWAS comparing PC to benign cysts revealed the rs7190458 variant near the BCAR1 and CTRB1 genes. Further analysis with identified GWAS genes highlighted the Actin Related Protein (Arp) 2/3 complex as a potentially important molecular mechanism connecting benign cysts and PC. The Arp2/3 complex-associated genes were significantly upregulated in PC, suggesting their role in the malignant transformation of pancreatic cysts. Differential expression of these genes was observed across various cell types in PC, indicating their involvement in the tumor microenvironment. These findings suggest that the Arp2/3 complex-associated genes can serve as potential biomarkers for predicting the malignant transformation of pancreatic cysts, opening new avenues for targeted therapies and early detection strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/39890846/","authors":["Mahmud AKMF","Mansour Aly DG","Zhao Y","Benson M","Smelik M","Sysoev O","Wang H","Li X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 31","doi":"10.1038/s41598-025-87872-1","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39889576","name":"Integration of the partition effect into the model of non-aqueous phase liquid solubilization by non-ionic surfactant.","source":"pubmed","abstract":"Accurately predicting the efficiency of surfactant-enhanced recovery of non-aqueous phase liquid (NAPL) using non-ionic surfactants requires a precise estimation of the kinetics of rate-limited solubilization under the effect of bulk partition. This study investigated the kinetics of surfactant partition from aqueous phase into liquid NAPL and its subsequent impact on the solubilization kinetics of dodecane. For all surfactants examined, the solubilization of dodecane by anionic rhamnolipid (RL) and SDBS, presenting NAPL-water interface adsorption loss only, closely followed the first-order mass transfer model under the assumption of constant solubility. In contrast, the solubilization of dodecane by non-ionic TX-100 showed significant deviations due to the progressive partition of TX-100 into the bulk of liquid dodecane. The first-order mass transfer model, based on the physical hypothesis of the two-film model, accurately depicted the dynamic partition loss of TX-100. The accuracy of the first-order mass transfer model in depicting the dynamic solubilization kinetics of dodecane by TX-100 was improved by setting the equilibrium solubility as variable to account for the effect of the bulk partition loss. The findings quantified the capability of surfactants to solubilize NAPL with considering the impact of bulk partition loss, providing insights into the fundamental processes of NAPL solubilization with the application of non-ionic surfactants.","url":"https://pubmed.ncbi.nlm.nih.gov/39889576/","authors":["Huo L","Liu G","Wang J","Yang X","Huang W","Zhong H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 15","doi":"10.1016/j.scitotenv.2025.178470","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39889083","name":"Criteria for objects suitable for reconstruction from holograms and diffraction patterns.","source":"pubmed","abstract":"In this study, quantitative criteria for reconstruction of objects from their hologram and diffraction patterns, and in particular for the phase objects in digital holography, are derived. The criteria that allow distinguishing the hologram and diffraction pattern are outlined. Gabor derived his criterion for objects suitable for holography based on the condition that the background in the reconstructed object's distribution should be nearly flat so that its intensity contrast does not exceed 0.05. According to Gabor, an opaque object is suitable for holographic reconstruction if it occupies no more than 1% of the imaged area, and a phase-shifting object cannot be reconstructed in principle. We revisit these criteria and show that both amplitude-only and phase-only objects can be reconstructed when the object occupies less than 1% of the total illuminated area. In addition, a simplified derivation of the criteria is provided that is based on Parseval's theorem. It is shown that for objects (including amplitude-only and phase-only) reconstructed from their holograms and the twin image treated as noise, a signal-to-noise ratio of 10 or higher can be achieved provided the object occupies less than 0.5% of the total illuminated area. When a hologram is reconstructed by applying iterative algorithms, the requirement for the object size is much more generous and identical to that applied in coherent diffraction imaging: any type of object (amplitude-only, phase-only, or amplitude-and-phase mixed properties) is suitable for holography when the object's size in each dimension is less than half of the probed region's extent (or the field of view).","url":"https://pubmed.ncbi.nlm.nih.gov/39889083/","authors":["Latychevskaia T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 1","doi":"10.1364/JOSAA.534332","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39886165","name":"Artificial intelligence across oncology specialties: current applications and emerging tools.","source":"pubmed","abstract":"Oncology is becoming increasingly personalised through advancements in precision in diagnostics and therapeutics, with more and more data available on both ends to create individualised plans. The depth and breadth of data are outpacing our natural ability to interpret it. Artificial intelligence (AI) provides a solution to ingest and digest this data deluge to improve detection, prediction and skill development. In this review, we provide multidisciplinary perspectives on oncology applications touched by AI-imaging, pathology, patient triage, radiotherapy, genomics-driven therapy and surgery-and integration with existing tools-natural language processing, digital twins and clinical informatics.","url":"https://pubmed.ncbi.nlm.nih.gov/39886165/","authors":["Kang J","Lafata K","Kim E","Yao C","Lin F","Rattay T","Nori H","Katsoulakis E","Lee CI"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1136/bmjonc-2023-000134","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39885231","name":"Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance.","source":"pubmed","abstract":"Monitoring fluid intake and output for congestive heart failure (CHF) patients is an essential tool to prevent fluid overload, a principal cause of hospital admissions. Addressing this, bladder volume measurement systems utilizing bioimpedance and electrical impedance tomography have been proposed, with limited exploration of continuous monitoring within a wearable design. Advancing this format, we developed a conductivity digital twin from radiological data, where we performed exhaustive simulations to optimize electrode sensitivity on an individual basis. Our optimized placement demonstrated an efficient proof-of-concept volume estimation that required as few as seven measurement frames while maintaining low errors (CI 95% -1.11% to 1.00%) for volumes &#x2265;100&#x2009;mL. Additionally, we quantify the impact of ascites, a common confounding condition in CHF, on the bioimpedance signal. By improving monitoring technology, we aim to reduce CHF mortality by empowering patients and clinicians with a more thorough understanding of fluid status.","url":"https://pubmed.ncbi.nlm.nih.gov/39885231/","authors":["Crane HT","Berkebile JA","Mabrouk S","Riccardelli N","Inan OT"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 30","doi":"10.1038/s41746-025-01441-4","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39884028","name":"Probabilistic learning of the Purkinje network from the electrocardiogram.","source":"pubmed","abstract":"The identification of the Purkinje conduction system in the heart is a challenging task, yet essential for a correct definition of cardiac digital twins for precision cardiology. Here, we propose a probabilistic approach for identifying the Purkinje network from non-invasive clinical data such as the standard electrocardiogram (ECG). We use cardiac imaging to build an anatomically accurate model of the ventricles; we algorithmically generate a rule-based Purkinje network tailored to the anatomy; we simulate physiological electrocardiograms with a fast model; we identify the geometrical and electrical parameters of the Purkinje-ECG model with Bayesian optimization and approximate Bayesian computation. The proposed approach is inherently probabilistic and generates a population of plausible Purkinje networks, all fitting the ECG within a given tolerance. In this way, we can estimate the uncertainty of the parameters, thus providing reliable predictions. We test our methodology in physiological and pathological scenarios, showing that we are able to accurately recover the ECG with our model. We propagate the uncertainty in the Purkinje network parameters in a simulation of conduction system pacing therapy. Our methodology is a step forward in creation of digital twins from non-invasive data in precision medicine. An open source implementation can be found at http://github.com/fsahli/purkinje-learning.","url":"https://pubmed.ncbi.nlm.nih.gov/39884028/","authors":["Álvarez-Barrientos F","Salinas-Camus M","Pezzuto S","Sahli Costabal F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.media.2025.103460","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39883968","name":"Profiling microRNA expression differentiates monozygotic twins in peripherical blood by droplet digital PCR.","source":"pubmed","abstract":"It is challenging to distinguish monozygotic (MZ) twins using traditional autosomal STR genotyping due to their nearly identical genomes. As an important kind of small non-coding RNAs, microRNAs (miRNAs) are essential regulators of gene expression and considered as excellent biomarkers due to their resistance to degradation. Moreover, droplet digital PCR (ddPCR) has emerged as a powerful technique for detecting gene mutations and pathogenic microorganisms, owing to its sensitivity and reliability. We aimed to explore the differential expression of miRNAs between MZ twins using next-sequence platform and assess the reliability of differentially expressed miRNAs by ddPCR. MiRNA sequencing (miRNA-seq) revealed nine differentially expressed miRNAs shared across five pairs of twins, including hsa-miR-3620-3p, hsa-miR-6825-5p, hsa-miR-1273h-5p, hsa-miR-200a-5p, hsa-miR-3192-5p, hsa-miR-188-5p, hsa-miR-206, hsa-miR-4796-5p, and hsa-miR-6775-3p. Subsequently, the combination of real-time quantitative PCR (qPCR) and ddPCR confirmed the ability of five of these miRNAs (hsa-miR-1273h-5p, hsa-miR-3192-5p, hsa-miR-188-5p, hsa-miR-206, and hsa-miR-6775-3p) in distinguishing monozygotic twins. Furthermore, ddPCR demonstrated superior recognition accuracy compared to qPCR. Finally, we evaluated the degradation resistance of these five miRNAs under different environmental conditions. None of the five miRNAs showed a significant decrease in expression levels after being stored at room temperature for up to 180 days or undergoing 10 freeze-thaw cycles. In summary, our study revealed the potential application of miRNAs in differentiation of MZ twins and the powerful role of ddPCR in forensic medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39883968/","authors":["Wang DY","Tian MH","Chen YZ","Wang SW","Xing XY","Sun ML","Liu Z","Liu Y","Wang H","Wei J","Zhong Y","Yao J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.fsigen.2025.103230","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39881549","name":"Revolutionizing Surgical Preparedness: Personalized Preoperative Planning with Digital Twins of an Organ.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39881549/","authors":["Sohail A","Irfan MZ","Shaikh A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun","doi":"10.1177/15533506251317719","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39881474","name":"Biokinetic soft-sensing using Thiothrix and Ca. Microthrix bacteria to calibrate secondary settling, aeration and N(2)O emission digital twins.","source":"pubmed","abstract":"Climate resilience in water resource recovery facilities (WRRFs) necessitates improved adaptation to shock-loading conditions and mitigating greenhouse gas emission. Data-driven learning methods are widely utilised in soft-sensors for decision support and process optimization due to their simplicity and high predictive accuracy. However, unlike for mechanistic models, transferring machine-learning-based insights across systems is largely infeasible, which limits communication and knowledge sharing. To harness the benefits of both approaches, this study introduces a mechanistic online soft-sensor (MOSS) developed to calibrate digital twins of secondary settling tanks (hydraulic shock), aeration systems and nitrous oxide (N 2 O) greenhouse gas emission. MOSS integrates biokinetic models of filamentous microbial predictors to calibrate digital twins through meta-models (data-driven part), updated using offline settling column tests and amplicon sequencing data for microbial analysis. For the first time, this approach employs multi-filamentous-community predictors for dynamic calibration, i.e., Thiothrix and Ca. Microthrix. The calibration and early-warning capabilities of MOSS are demonstrated using experimental data from a laboratory-scale WRRF.","url":"https://pubmed.ncbi.nlm.nih.gov/39881474/","authors":["Bakos V","Qiu Y","Nierychlo M","Nielsen PH","Plósz BG"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May 1","doi":"10.1016/j.watres.2025.123164","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39881430","name":"Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint.","source":"pubmed","abstract":"Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical \"digital twin\" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations. Here, we propose a medical digital twin framework with a data-centric approach. We argue that a single digital representation of patients cannot support all the data uses of digital twins for technical and regulatory reasons. Instead, we propose a data architecture leveraging three main families of digital representations: (1) multimodal dashboards integrating various raw health records at points of care to assist with perception and documentation, (2) virtual patients, which provide nonsensitive data for collective secondary uses, and (3) individual predictions that support clinical decisions. For a given patient, multiple digital representations may be generated according to the different clinical pathways the patient goes through, each tailored to balance the trade-offs associated with the respective intended uses. Therefore, our proposed framework conceives the medical digital twin as a data architecture leveraging several digital representations of patients along clinical pathways.","url":"https://pubmed.ncbi.nlm.nih.gov/39881430/","authors":["Demuth S","De Sèze J","Edan G","Ziemssen T","Simon F","Gourraud PA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 28","doi":"10.2196/53542","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39876187","name":"Rapid stochastic spatial light modulator calibration and pixel crosstalk optimization.","source":"pubmed","abstract":"Holographic light potentials generated by phase-modulating liquid-crystal spatial light modulators (SLMs) are widely used in quantum technology applications. Accurate calibration of the wavefront and intensity profile of the laser beam at the SLM display is key to the high fidelity of holographic potentials. Here, we present a new calibration technique that is faster than previous methods while maintaining the same level of accuracy. By employing stochastic optimization and random speckle intensity patterns, we calibrate a digital twin that accurately models the experimental setup. This approach allows us to measure the wavefront at the SLM to within &#x3bb; /170 in ~&#xa0;5 minutes using only 10 SLM phase patterns, a significant speedup over state-of-the-art techniques. Additionally, our digital twin models pixel crosstalk on the liquid-crystal SLM, enabling rapid calibration of model parameters and reducing the error in light potentials by a factor of ~&#xa0;5 without losing efficiency. Our fast calibration technique will simplify the implementation of high-fidelity light potentials in, for example, quantum-gas microscopes and neutral-atom tweezer arrays where high-NA objectives and thermal lensing can deform the wavefront significantly. Applications in the field of holographic displays that require high image fidelity will benefit from the novel pixel crosstalk calibration, especially for displays with a large field of view and increased SLM diffraction angles.","url":"https://pubmed.ncbi.nlm.nih.gov/39876187/","authors":["Schroff P","Haller E","Kuhr S","La Rooij A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 30","doi":"10.1364/OE.539548","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39872916","name":"AutoRefl: active learning in neutron reflectometry for fast data acquisition.","source":"pubmed","abstract":"Neutron reflectometry (NR) is a powerful technique for interrogating the structure of thin films at interfaces. Because NR measurements are slow and instrument availability is limited, measurement efficiency is paramount. One approach to improving measurement efficiency is active learning (AL), in which the next measurement configurations are selected on the basis of information gained from the partial data collected so far. AutoRefl , a model-based AL algorithm for neutron reflectometry measurements, is presented in this manuscript. AutoRefl uses the existing measurements of a function to choose both the position and the duration of the next measurement. AutoRefl maximizes the information acquisition rate in specific model parameters of interest and uses the well defined signal-to-noise ratio in counting measurements to choose appropriate measurement times. Since continuous measurement is desirable for practical implementation, AutoRefl features forecasting, in which the optimal positions of multiple future measurements are predicted from existing measurements. The performance of AutoRefl is compared with that of well established best practice measurements for supported lipid bilayer samples using realistic digital twins of monochromatic and polychromatic reflectometers. AutoRefl is shown to improve NR measurement speeds in all cases significantly.","url":"https://pubmed.ncbi.nlm.nih.gov/39872916/","authors":["Hoogerheide DP","Heinrich F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1107/s1600576724006447","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39867521","name":"Clinical trials in health-care metaverse - A conceptual overview.","source":"pubmed","abstract":"Post-COVID-19, the emergence of newer technologies has taken center stage. One such technology is metaverse, which is an extension of existing technologies such as virtual reality (VR) and augmented reality (AR) that enables a fully immersive communication platform through the utilization of digital twins and avatars in a three-dimensional digital space. Literature review has shown that the adoption of such technologies in the field of clinical trials can help in improving the therapeutic outcomes in patients while having numerous other benefits. Despite its early stages of adoption, the application of metaverses in clinical trials through the use of AR, VR, and digital twins holds the ability to revolutionize key tasks in clinical trials, such as patient enrollment, engagement, monitoring, and counseling, by removing barriers to study participation. This review article focuses on the concepts of metaverse, its use in clinical trials, its inherent benefits, and limitations and serves as a starting point for clinical research organizations, pharmaceutical companies, and technology firms to conceptualize and develop metaverse solutions that stand to significantly benefit the broader landscape of clinical trials.","url":"https://pubmed.ncbi.nlm.nih.gov/39867521/","authors":["Sait JMS","Sarumathy S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan-Mar","doi":"10.4103/picr.picr_328_23","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39867382","name":"Prediction-powered Inference for Clinical Trials: application to linear covariate adjustment.","source":"pubmed","abstract":"Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation, leveraging machine learning systems, to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates. The proposed method would empower clinical trials by providing untreated digital twins of the treated patients while remaining statistically valid. The potential implications of this new estimator of the treatment effect in a two-arm randomized clinical trial (RCT) are manifold. First, it leads to an overall reduction of the sample size required to reach the same power as a standard RCT. Secondly, it advocates for an imbalance of controls and treated patients, requiring fewer controls to achieve the same power. Finally, this technique directly transfers any disease prediction model trained on large cohorts to practical and scientifically valid use. In this paper, we demonstrate the theoretical properties of this estimator and illustrate them through simulations. We show that it is asymptotically unbiased for the Average Treatment Effect and derive an explicit formula for its variance. We then compare this estimator to a regression-based linear covariate adjustment method. An application to an Alzheimer's disease clinical trial showcases the potential to reduce the sample size.","url":"https://pubmed.ncbi.nlm.nih.gov/39867382/","authors":["Poulet PE","Tran M","Tezenas du Montcel S","Dubois B","Durrleman S","Jedynak B"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug 18","doi":"10.1101/2025.01.15.25320578","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39864279","name":"MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation.","source":"pubmed","abstract":"Atrial fibrillation (AF), impacting nearly 50 million individuals globally, is a major contributor to ischaemic strokes, predominantly originating from the left atrial appendage (LAA). Current clinical scores like CHA&#x2082;DS&#x2082;-VASc, while useful, provide limited insight into the pro-thrombotic mechanisms of Virchow's triad-blood stasis, endothelial damage, and hypercoagulability. This study leverages biophysical computational modelling to deepen our understanding of thrombogenesis in AF patients. Utilising high temporal resolution Cine magnetic resonance imaging (MRI), a 3D patient-specific modelling pipeline for simulating patient-specific flow in the left atrium was developed. This computational fluid dynamics (CFD) approach was coupled with reaction-diffusion-convection equations for key clotting proteins, leading to an innovative risk stratification score that combines clinical and modelling data. This approach categorises thrombogenic risk into low (A), moderate (B), and high (C) levels. Applied to a cohort of nine patients, pre- and post-catheter ablation therapy, this approach generates novel risk scores of thrombus formation, which are based of mechanistic characterisation of all aspects of the Virchow's triad. Currently, thrombogenesis mechanisms are not factored in widespread clinical risks scores based on demographic characteristics and co-morbidities. Notably, some patients with a CHA&#x2082;DS&#x2082;-VASc score of 0 (lowest clinical risk) exhibited much higher risks once the individual pathophysiology was accounted for. This discrepancy highlights the limitations of the CHA&#x2082;DS&#x2082;-VASc score in providing detailed mechanistic insights into patient-specific thrombogenic risk. This work introduces a comprehensive method for assessing thrombus formation risks in AF patients, emphasising the value of integrating biophysical modelling with clinical scores to enhance personalised stroke prevention strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/39864279/","authors":["Qureshi A","Melidoro P","Balmus M","Lip GYH","Nordsletten DA","Williams SE","Aslanidi O","de Vecchi A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.media.2025.103475","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39862940","name":"Atrial fibrillation versus atrial myopathy in thrombogenesis: Two sides of the same coin?","source":"pubmed","abstract":"Atrial fibrillation (AF) and atrial myopathy are recognized contributors to cardiovascular morbidity, particularly ischemic stroke. AF poses an elevated risk of thrombogenesis due to irregular heart rhythm leading to blood stasis and clot formation. Atrial myopathy, marked by structural and functional alterations in the atria, is emerging as a crucial factor influencing thromboembolic events, independently of AF. This narrative review article provides an overview of the interwoven relationship between AF and atrial myopathy in thrombogenesis, focusing on the epidemiology, risk factors, and clinical implications of these two entities. The discussion encompasses the association between AF burden and stroke risk, evaluating current evidence and guidelines for anticoagulant therapy. Additionally, it explores the role of atrial myopathy in the pathogenesis of thromboembolic events, emphasizing the patient's clinical profile assessed by the CHA 2 DS 2 -VASc score. The manuscript provides insights into ongoing trials and future perspectives, discussing potential advancements in antithrombotic therapy, fibrin clot dynamics, and anti-inflammatory strategies. This comprehensive review challenges the conventional perception of AF as a sole cause of stroke, urging a holistic approach to risk assessment of thrombogenesis and management in the high-risk population that AF patients constitute.","url":"https://pubmed.ncbi.nlm.nih.gov/39862940/","authors":["Papakonstantinou PE","Rivera-Caravaca JM","Chiarito M","Ehrlinder H","Iliakis P","Gąsecka A","Romiti GF","Parker WAE","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jul","doi":"10.1016/j.tcm.2025.01.002","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39860961","name":"Cloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber-Physical Robotic System-Digital Twin Approach.","source":"pubmed","abstract":"This paper deals with a \"digital twin\" (DT) approach for processing, reprocessing, and scrapping (P/R/S) technology running on a modular production system (MPS) assisted by a mobile cyber-physical robotic system (MCPRS). The main hardware architecture consists of four line-shaped workstations (WSs), a wheeled mobile robot (WMR) equipped with a robotic manipulator (RM) and a mobile visual servoing system (MVSS) mounted on the end effector. The system architecture integrates a hierarchical control system where each of the four WSs, in the MPS, is controlled by a Programable Logic Controller (PLC), all connected via Profibus DP to a central PLC. In addition to the connection via Profibus of the four PLCs, related to the WSs, to the main PLC, there are also the connections of other devices to the local networks, LAN Profinet and LAN Ethernet. There are the connections to the Internet, Cloud and Virtual Private Network (VPN) via WAN Ethernet by open platform communication unified architecture (OPC-UA). The overall system follows a DT approach that enables task planning through augmented reality (AR) and uses virtual reality (VR) for visualization through Synchronized Hybrid Petri Net (SHPN) simulation. Timed Petri Nets (TPNs) are used to control the processes within the MPS's workstations. Continuous Petri Nets (CPNs) handle the movement of the MCPRS. Task planning in AR enables users to interact with the system in real time using AR technology to visualize and plan tasks. SHPN in VR is a combination of TPNs and CPNs used in the virtual representation of the system to synchronize tasks between the MPS and MCPRS. The workpiece (WP) visits stations successively as it is moved along the line for processing. If the processed WP does not pass the quality test, it is taken from the last WS and is transported, by MCPRS, to the first WS where it will be considered for reprocessing or scrapping.","url":"https://pubmed.ncbi.nlm.nih.gov/39860961/","authors":["Simion G","Filipescu A","Ionescu D","Filipescu A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 20","doi":"10.3390/s25020591","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39860752","name":"Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov-Arnold Network with Autoencoder Integration.","source":"pubmed","abstract":"Artificial intelligence (AI) technologies have been widely applied to the automated detection of pipeline leaks. However, traditional AI methods still face significant challenges in effectively detecting the complete leak process. Furthermore, the deployment cost of such models has increased substantially due to the use of GPU-trained neural networks in recent years. In this study, we propose a novel leak detector, which includes a new model and a sequence labeling method that integrates prior knowledge with traditional reconstruction error theory. The proposed model combines the Kolmogorov-Arnold Network (KAN) with an autoencoder (AE). This model combines the Kolmogorov-Arnold Network (KAN) with an autoencoder (AE), forming a hybrid framework that effectively captures complex temporal dependencies in the data while exhibiting strong pattern modeling and reconstruction capabilities. To improve leak detection, we developed a novel unsupervised anomaly sequence labeling method based on traditional reconstruction error theory, which incorporates an in-depth analysis of the reconstruction error curve along with prior knowledge. This method significantly enhances the interpretability and accuracy of the detection process. Field experiments were conducted on real urban water supply pipelines, and a benchmark dataset was established to evaluate the proposed model and method against commonly used models and methods. The experimental results demonstrate that the proposed model and method achieved a high segment-wise precision of 93.1%. Overall, this study presents a transparent and robust solution for automated pipeline leak detection, facilitating the large-scale, cost-effective development of digital twin systems for urban pipeline leak emergency management.","url":"https://pubmed.ncbi.nlm.nih.gov/39860752/","authors":["Wu H","Jiang Z","Zhang X","Cheng J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 10","doi":"10.3390/s25020384","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39860329","name":"Medical Digital Twin: A Review on Technical Principles and Clinical Applications.","source":"pubmed","abstract":"The usage of digital twins (DTs) is growing across a wide range of businesses. The health sector is one area where DT use has recently increased. Ultimately, the concept of digital health twins holds the potential to enhance human existence by transforming disease prevention, health preservation, diagnosis, treatment, and management. Big data's explosive expansion, combined with ongoing developments in data science (DS) and artificial intelligence (AI), might greatly speed up research and development by supplying crucial data, a strong cyber technical infrastructure, and scientific know-how. The field of healthcare applications is still in its infancy, despite the fact that there are several DT programs in the military and industry. This review's aim is to present this cutting-edge technology, which focuses on neurology, as one of the most exciting new developments in the medical industry. Through innovative research and development in DT technology, we anticipate the formation of a global cooperative effort among stakeholders to improve health care and the standard of living for millions of people globally.","url":"https://pubmed.ncbi.nlm.nih.gov/39860329/","authors":["Tortora M","Pacchiano F","Ferraciolli SF","Criscuolo S","Gagliardo C","Jaber K","Angelicchio M","Briganti F","Caranci F","Tortora F","Negro A","Mario Tortora"],"tags":["Medicine","Medical physics","Intensive care medicine"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 7","doi":"10.3390/jcm14020324","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"pmid:39859733","name":"Computational Fluid Dynamics as a Digital Tool for Enhancing Safety Uptake in Advanced Manufacturing Environments Within a Safe-by-Design Strategy.","source":"pubmed","abstract":"In modern manufacturing environments, pollution management is critical as exposure to harmful substances can cause serious health issues. This study presents a two-stage computational fluid dynamic (CFD) model to estimate the distribution of pollutants in indoor production spaces. In the first stage, the Reynolds-averaged Navier-Stokes (RANS) method was used to simulate airflow and temperature. In the second stage, the Lagrangian method was applied for particle tracing. The model was applied to a theoretical acrylonitrile butadiene styrene (ABS) filament 3D printing process to evaluate the factors affecting the distribution of ultrafine particles (30 nm). Key parameters such as ventilation system effects, the presence of cooling fans and the print bed, and nozzle temperatures were considered. The results show that the highest flow velocities (1.97 &#xd7; 10 -6 m/s to 3.38 m/s) occur near the ventilation system's inlet and outlet, accompanied by regions of high turbulent kinetic energy (0.66 m 2 /s 2 ). These conditions promote dynamic airflow, facilitating particulate removal by reducing stagnant zones prone to pollutant buildup. The effect of cooling fans and thermal sources was investigated, showing limited contribution on particle removal. These findings emphasize the importance of digital twins for better worker safety and air quality in 3D printing environments.","url":"https://pubmed.ncbi.nlm.nih.gov/39859733/","authors":["Voultsou DM","Saliakas S","Damilos S","Koumoulos EP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 9","doi":"10.3390/ma18020262","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"pmid:39858751","name":"Design of Interface ASIC with Power-Saving Switches for Capacitive Accelerometers.","source":"pubmed","abstract":"High-precision, low-power MEMS accelerometers are extensively utilized across civilian applications. Closed-loop accelerometers employing switched-capacitor (SC) circuit topologies offer notable advantages, including low power consumption, high signal-to-noise ratio (SNR), and excellent linearity. Addressing the critical demand for high-precision, low-power MEMS accelerometers in modern geophones, this work focuses on the design and implementation of closed-loop interface ASICs (Application-Specific Integrated Circuits). The proposed interface circuit, based on switched-capacitor modulation technology, incorporates a low-noise charge amplifier, sample-and-hold circuit, integrator, and clock divider circuit. To minimize average power consumption, a switched operational amplifier (op-amp) technique is adopted, which temporarily disconnects idle op-amps from the power supply. Additionally, a class-AB output stage is employed to enhance the dynamic range of the circuit. The design was realized using a standard 0.35 &#x3bc;m CMOS process, culminating in the completion of layout design and small-scale engineering fabrication. The performance of the MEMS accelerometers was evaluated under a 3.3 V power supply, achieving a power consumption of 3.3 mW, an accelerometer noise density below 1 &#x3bc;g/&#x221a;Hz, a sensitivity of 1.65 V/g, a measurement range of &#xb1;1 g, a nonlinearity of 0.15%, a bandwidth of 300 Hz, and a bias stability of approximately 36 &#x3bc;g. These results demonstrate the efficacy of the proposed design in meeting the stringent requirements of high-precision MEMS accelerometer applications.","url":"https://pubmed.ncbi.nlm.nih.gov/39858751/","authors":["Cai J","Cai Y","Li X","Wang S","Zhang X","Di X","Wang P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 15","doi":"10.3390/mi16010096","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21211774","name":"HALO: Heterogeneous-Inference Agentic Localization and Observability Twin — An End-to-End Autonomous Agentic Digital Twin Spanning O-RAN and 5G Core","source":"datacite","abstract":"Mobile networks have accumulated two structurally isolated intelligence stacks - one for the Radio Access Network (RAN), one for the 5G Core - that optimize within their domains but are blind to fault causality crossing the access/core boundary. We present HALO, an end-to-end autonomous agentic digital twin spanning O-RAN access and 3GPP 5G Core network functions under a single unified expected-state model, with a per-element minion agent fleet, cross-domain root-cause localization, a management-plane inference-placement policy, dual-stack O-RAN + 3GPP actuation, and dual-altitude observability. Evaluated on an open-source end-to-end 5G testbed (Open5GS + UERANSIM). REVISION v0.6: novelty claims scoped per an adversarial prior-art audit - the flagship contribution is narrowed to the first quantitative Core-NF to RAN-cell fault localization across the O-RAN/3GPP boundary (agentic cross-domain RCA for RAN-transport domains exists in prior work, now cited and distinguished: CrossRCA, TM Forum Catalyst C25.5.859, Ericsson EIAP, Nokia AVA); overclaim language removed; dual-altitude observability presented as a feature rather than a novelty claim.","url":"https://doi.org/10.5281/zenodo.21211774","authors":["Patole, Amit","Majeed, Muzammal"],"tags":["5G","O-RAN","network digital twin","autonomous network management","agentic AI","RAN-Core integration","cross-domain fault localization","inference placement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21211774","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21211775","name":"HALO: Heterogeneous-Inference Agentic Localization and Observability Twin — An End-to-End Autonomous Agentic Digital Twin Spanning O-RAN and 5G Core","source":"datacite","abstract":"Mobile networks have accumulated two structurally isolated intelligence stacks - one for the Radio Access Network (RAN), one for the 5G Core - that optimize within their domains but are blind to fault causality crossing the access/core boundary. We present HALO, an end-to-end autonomous agentic digital twin spanning O-RAN access and 3GPP 5G Core network functions under a single unified expected-state model. HALO deploys a fleet of lightweight per-element minion agents that continuously diff live telemetry against expected state within the near-real-time control-loop budget, escalating structured fault hypotheses to a cloud supervisor that performs cross-domain root-cause localization across the RAN/Core boundary. A runtime management-plane inference-placement policy routes each inference task by latency, data-residency, and cost, preserving local minion-loop continuity under saturated-backhaul conditions. Evaluated on an open-source end-to-end 5G testbed (Open5GS + UERANSIM, inference via Ollama cloud API) under fifteen injected fault scenarios: 67% false-positive reduction over threshold alerting; Class-B Core-origin element localization precision 0.56; the first quantitative cross-domain localization result in the literature; validated placement routing; and end-to-end closed-loop actuation across O-RAN A1/E2/O1 and 3GPP SBA/NWDAF/SA5 from a single control plane. Preprint (working draft v0.5).","url":"https://doi.org/10.5281/zenodo.21211775","authors":["Patole, Amit","Majeed, Muzammal"],"tags":["5G","O-RAN","network digital twin","autonomous network management","agentic AI","RAN-Core integration","cross-domain fault localization","inference placement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21211775","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20809129","name":"Real-Time Synchronization Protocols for Secure Digital Twin Communication","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20809129","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20809129","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20809130","name":"Real-Time Synchronization Protocols for Secure Digital Twin Communication","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20809130","authors":["Safa Mohamed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20809130","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20757703","name":"Where to Find Outstanding Service in Kuala Lumpur","source":"datacite","abstract":"Kuala Lumpur is one of Southeast Asia's most dynamic cities, attracting millions of visitors every year with its modern skyline, cultural diversity, and world-class amenities. Beyond its iconic attractions, the city has earned a reputation for delivering excellent customer service across hospitality, transportation, dining, and lifestyle support sectors. Whether you are visiting for business, leisure, or an extended stay, understanding where to find outstanding service can greatly improve your overall experience. From premium accommodations to reliable local guidance, Kuala Lumpur offers countless opportunities to enjoy a seamless and memorable journey. This guide explores some of the best ways to access exceptional services throughout the city. Why Kuala Lumpur Is Known for Exceptional Hospitality Kuala Lumpur stands out because it successfully combines modern infrastructure with traditional Malaysian hospitality values. Visitors often praise the city for its: Friendly customer service Efficient transportation systems International service standards Diverse cultural experiences High-quality accommodations Convenient urban planning The city's multicultural environment also contributes to its welcoming atmosphere. English is widely spoken, making communication easier for international visitors. Discover Outstanding Hotel Services Accommodation providers in Kuala Lumpur consistently prioritize guest satisfaction. Many hotels offer personalized services that help travelers feel comfortable throughout their stay. Popular amenities often include: Concierge assistance Airport transfers Wellness centers Business facilities Rooftop lounges Guided activity recommendations Hotels located in central areas allow visitors to access major attractions with minimal travel time. Top neighborhoods include: KLCC Home to the iconic Petronas Twin Towers and numerous premium hotels. Bukit Bintang A lively district known for shopping, dining, and entertainment. Bangsar Popular for its relaxed atmosphere and modern lifestyle offerings. Mont Kiara A preferred area for international residents and business travelers. Each neighborhood offers unique experiences while maintaining high service standards. Explore Kuala Lumpur's Excellent Dining Scene The city's culinary landscape reflects Malaysia's multicultural identity. Restaurants throughout Kuala Lumpur emphasize quality, creativity, and customer satisfaction. Visitors can enjoy: Fine dining establishments Rooftop restaurants Specialty cafes International cuisine Contemporary Malaysian dishes Professional service and attention to detail are common across many dining venues. Travelers with dietary preferences can also find numerous accommodating options. Benefit from Efficient Transportation Services Navigating Kuala Lumpur is relatively simple due to its well-developed transportation network. Travelers have access to several convenient options. MRT and LRT Systems These rail systems connect major districts and attractions efficiently. Airport Express Trains Quick transportation options simplify airport transfers. Ride-Sharing Applications Widely available throughout the city, these services offer flexible travel solutions. Public Buses Affordable routes provide access to many destinations. Reliable transportation significantly improves the visitor experience. Lifestyle Support Services Enhance Your Journey Many modern travelers seek more than standard tourism experiences. Lifestyle support services can help visitors make the most of their time in Kuala Lumpur by offering practical assistance and local insights. These services may assist with: Itinerary planning Dining recommendations Attraction suggestions Event information Transportation guidance City navigation Having access to trustworthy local information can save time and improve travel efficiency. Visitors can focus on enjoying their trip instead of spending excessive time organizing activities. Cultural Attractions with Exceptional Visitor Servi","url":"https://doi.org/10.5281/zenodo.20757703","authors":["KL Social Guide"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20757703","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20757704","name":"Where to Find Outstanding Service in Kuala Lumpur","source":"datacite","abstract":"Kuala Lumpur is one of Southeast Asia's most dynamic cities, attracting millions of visitors every year with its modern skyline, cultural diversity, and world-class amenities. Beyond its iconic attractions, the city has earned a reputation for delivering excellent customer service across hospitality, transportation, dining, and lifestyle support sectors. Whether you are visiting for business, leisure, or an extended stay, understanding where to find outstanding service can greatly improve your overall experience. From premium accommodations to reliable local guidance, Kuala Lumpur offers countless opportunities to enjoy a seamless and memorable journey. This guide explores some of the best ways to access exceptional services throughout the city. Why Kuala Lumpur Is Known for Exceptional Hospitality Kuala Lumpur stands out because it successfully combines modern infrastructure with traditional Malaysian hospitality values. Visitors often praise the city for its: Friendly customer service Efficient transportation systems International service standards Diverse cultural experiences High-quality accommodations Convenient urban planning The city's multicultural environment also contributes to its welcoming atmosphere. English is widely spoken, making communication easier for international visitors. Discover Outstanding Hotel Services Accommodation providers in Kuala Lumpur consistently prioritize guest satisfaction. Many hotels offer personalized services that help travelers feel comfortable throughout their stay. Popular amenities often include: Concierge assistance Airport transfers Wellness centers Business facilities Rooftop lounges Guided activity recommendations Hotels located in central areas allow visitors to access major attractions with minimal travel time. Top neighborhoods include: KLCC Home to the iconic Petronas Twin Towers and numerous premium hotels. Bukit Bintang A lively district known for shopping, dining, and entertainment. Bangsar Popular for its relaxed atmosphere and modern lifestyle offerings. Mont Kiara A preferred area for international residents and business travelers. Each neighborhood offers unique experiences while maintaining high service standards. Explore Kuala Lumpur's Excellent Dining Scene The city's culinary landscape reflects Malaysia's multicultural identity. Restaurants throughout Kuala Lumpur emphasize quality, creativity, and customer satisfaction. Visitors can enjoy: Fine dining establishments Rooftop restaurants Specialty cafes International cuisine Contemporary Malaysian dishes Professional service and attention to detail are common across many dining venues. Travelers with dietary preferences can also find numerous accommodating options. Benefit from Efficient Transportation Services Navigating Kuala Lumpur is relatively simple due to its well-developed transportation network. Travelers have access to several convenient options. MRT and LRT Systems These rail systems connect major districts and attractions efficiently. Airport Express Trains Quick transportation options simplify airport transfers. Ride-Sharing Applications Widely available throughout the city, these services offer flexible travel solutions. Public Buses Affordable routes provide access to many destinations. Reliable transportation significantly improves the visitor experience. Lifestyle Support Services Enhance Your Journey Many modern travelers seek more than standard tourism experiences. Lifestyle support services can help visitors make the most of their time in Kuala Lumpur by offering practical assistance and local insights. These services may assist with: Itinerary planning Dining recommendations Attraction suggestions Event information Transportation guidance City navigation Having access to trustworthy local information can save time and improve travel efficiency. Visitors can focus on enjoying their trip instead of spending excessive time organizing activities. Cultural Attractions with Exceptional Visitor Servi","url":"https://doi.org/10.5281/zenodo.20757704","authors":["KL Social Guide"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20757704","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22090085","name":"Dynamic Diagnostic Matrices in the Era of Psychiatric Discovery: A Verified D-SDM Application to Selected 2026 Findings","source":"datacite","abstract":"Selected studies published in 2026 report deep-brain-stimulation-associated white-matter remodeling in healthy nonhuman primates, widespread reductions in presynaptic terminal density in a schizophrenia cohort, peripheral immune epigenomic heterogeneity in type I bipolar disorder, transdiagnostic associations involving cerebrospinal-fluid synaptic proteins, and early advances in digital-twin brain modeling. Although these studies differ substantially in design, population, measurement, and evidentiary strength, they expose a shared translational limitation: a cross-sectional diagnostic snapshot cannot adequately represent biological, symptomatic, functional, contextual, safety-related, and evidentiary changes that unfold across different timescales. This paper applies the Dynamic Scretching Diagnostic Matrix (D-SDM) to that problem. D-SDM is a gate-separated, topology-grounded longitudinal framework in which each clinical encounter is represented by a clinician-verified episode state and associated episode graph. The architecture preserves the independence of diagnostic gates, gives precedence to safety and response validity, records evidence provenance, distinguishes observed findings from inferred mechanisms, and permits uncertainty to remain explicit rather than forcing premature categorical closure. Longitudinal change is represented across multiple domains rather than reduced to the appearance or disappearance of a diagnostic label. The framework can therefore distinguish changes in symptom burden, biological measures, functioning, safety, context, evidence quality, and diagnostic confidence while accommodating different rates and directions of change. It also provides a structured basis for connecting emerging biomarker and computational-modeling findings to clinical formulation without treating research associations as established diagnostic tests. A fully synthetic borderline-personality-disorder–schizophrenia-spectrum-disorder–dissociation example demonstrates the framework over 24 weeks. The example produces a verified illustrative composite-burden reduction of 58.9%. This arithmetic result is a property of the stated synthetic inputs and weighting rule; it is not evidence of clinical effectiveness, diagnostic remission, causal mechanism, or biomarker validity. D-SDM supplies testable representations of what changes, how rapidly it changes, under what conditions, and on the basis of what evidence. It thereby offers a longitudinal bridge among clinical assessment, neuroscience, computational psychiatry, and emerging digital-twin approaches while preserving diagnostic complexity, uncertainty, safety precedence, and a traceable evidentiary record.","url":"https://doi.org/10.5281/zenodo.22090085","authors":["Scretching, Daniel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22090085","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22090086","name":"Dynamic Diagnostic Matrices in the Era of Psychiatric Discovery: A Verified D-SDM Application to Selected 2026 Findings","source":"datacite","abstract":"Selected studies published in 2026 report deep-brain-stimulation-associated white-matter remodeling in healthy nonhuman primates, widespread reductions in presynaptic terminal density in a schizophrenia cohort, peripheral immune epigenomic heterogeneity in type I bipolar disorder, transdiagnostic associations involving cerebrospinal-fluid synaptic proteins, and early advances in digital-twin brain modeling. Although these studies differ substantially in design, population, measurement, and evidentiary strength, they expose a shared translational limitation: a cross-sectional diagnostic snapshot cannot adequately represent biological, symptomatic, functional, contextual, safety-related, and evidentiary changes that unfold across different timescales. This paper applies the Dynamic Scretching Diagnostic Matrix (D-SDM) to that problem. D-SDM is a gate-separated, topology-grounded longitudinal framework in which each clinical encounter is represented by a clinician-verified episode state and associated episode graph. The architecture preserves the independence of diagnostic gates, gives precedence to safety and response validity, records evidence provenance, distinguishes observed findings from inferred mechanisms, and permits uncertainty to remain explicit rather than forcing premature categorical closure. Longitudinal change is represented across multiple domains rather than reduced to the appearance or disappearance of a diagnostic label. The framework can therefore distinguish changes in symptom burden, biological measures, functioning, safety, context, evidence quality, and diagnostic confidence while accommodating different rates and directions of change. It also provides a structured basis for connecting emerging biomarker and computational-modeling findings to clinical formulation without treating research associations as established diagnostic tests. A fully synthetic borderline-personality-disorder–schizophrenia-spectrum-disorder–dissociation example demonstrates the framework over 24 weeks. The example produces a verified illustrative composite-burden reduction of 58.9%. This arithmetic result is a property of the stated synthetic inputs and weighting rule; it is not evidence of clinical effectiveness, diagnostic remission, causal mechanism, or biomarker validity. D-SDM supplies testable representations of what changes, how rapidly it changes, under what conditions, and on the basis of what evidence. It thereby offers a longitudinal bridge among clinical assessment, neuroscience, computational psychiatry, and emerging digital-twin approaches while preserving diagnostic complexity, uncertainty, safety precedence, and a traceable evidentiary record.","url":"https://doi.org/10.5281/zenodo.22090086","authors":["Scretching, Daniel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22090086","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20766611","name":"BIEP — Bio-Inspired Impulse Energy Platform: Whitepaper, Simulation Data & Diagrams v1.0","source":"datacite","abstract":"# BIEP — Bio-Inspired Impulse Energy Platform## Whitepaper, Simulation Data & Diagrams — v1.0 **Author:** Ibrahim Naif Ibrahim Hassan Ghonem**Identity:** ELTH3LAB · BABT #930387**Umbrella Project:** LUXIONEX**Date:** 2026**License:** All Rights Reserved — for citation and research reference only. Commercial use requires written license from the author. --- ## Contents - `whitepaper/BIEP_Whitepaper_v1.docx` — Full technical whitepaper: biological inspiration, physical foundations, system architecture, simulation results, and target applications (research, industrial, rehabilitative medicine, medical devices). - `whitepaper/BIEP_Sector_Strategy.docx` — Sector-specific engagement strategy for academic, industrial, clinical, and medical device stakeholders. - `simulation/biep_simulation_v2.py` — Python simulation engine (\"Digital Twin G\") generating all verified physical results below. Requires numpy, matplotlib. - `diagrams/` — Four simulation output figures: - `diagram_A_power_curve.png` — Power amplification curve (285×) - `diagram_B_energy_transfer.png` — Potential/kinetic energy conservation - `diagram_C_velocity_profile.png` — Impact velocity profile - `diagram_D_kpi_dashboard.png` — Summary KPI dashboard - `ip_documents/IP_3_Disclosure_Timestamp.docx` — Formal IP disclosure and inventor declaration establishing priority date. - `ip_documents/IP_4_Practical_Guide.docx` — IP protection roadmap (informational, not legal advice). --- ## Verified Baseline Parameters | Parameter | Symbol | Value ||-----------------------|------------|---------------|| Effective Mass | M_eff | 1 kg || Spring Constant | k_eq | 50,000 N/m || Stored Energy | E | 160 J || Pulse Duration | T_pulse | 7.025 ms || Peak Impact Velocity | v_max | 17.89 m/s || Peak Power | P_peak | 22,778 W || Power Amplification | A | 284.7× (≈285×)| All values independently verified via classical mechanics(energy conservation, harmonic oscillator quarter-cycle release).Reproducible by running `simulation/biep_simulation_v2.py`. --- ## Citation Ghonem, I. N. I. H. (2026). *BIEP — Bio-Inspired Impulse Energy Platform:Whitepaper, Simulation Data & Diagrams v1.0*. Zenodo. [DOI to be assigned upon upload] --- ## Scope Note This work presents an engineering specification and simulation framework.All equations are classical mechanics (conservation of energy, simple harmonicmotion) applied to a novel bio-inspired architecture. No claims beyondstandard physics are made.","url":"https://doi.org/10.5281/zenodo.20766611","authors":["Ghonem, Ibrahim"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20766611","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20766612","name":"BIEP — Bio-Inspired Impulse Energy Platform: Whitepaper, Simulation Data & Diagrams v1.0","source":"datacite","abstract":"# BIEP — Bio-Inspired Impulse Energy Platform## Whitepaper, Simulation Data & Diagrams — v1.0 **Author:** Ibrahim Naif Ibrahim Hassan Ghonem**Identity:** ELTH3LAB · BABT #930387**Umbrella Project:** LUXIONEX**Date:** 2026**License:** All Rights Reserved — for citation and research reference only. Commercial use requires written license from the author. --- ## Contents - `whitepaper/BIEP_Whitepaper_v1.docx` — Full technical whitepaper: biological inspiration, physical foundations, system architecture, simulation results, and target applications (research, industrial, rehabilitative medicine, medical devices). - `whitepaper/BIEP_Sector_Strategy.docx` — Sector-specific engagement strategy for academic, industrial, clinical, and medical device stakeholders. - `simulation/biep_simulation_v2.py` — Python simulation engine (\"Digital Twin G\") generating all verified physical results below. Requires numpy, matplotlib. - `diagrams/` — Four simulation output figures: - `diagram_A_power_curve.png` — Power amplification curve (285×) - `diagram_B_energy_transfer.png` — Potential/kinetic energy conservation - `diagram_C_velocity_profile.png` — Impact velocity profile - `diagram_D_kpi_dashboard.png` — Summary KPI dashboard - `ip_documents/IP_3_Disclosure_Timestamp.docx` — Formal IP disclosure and inventor declaration establishing priority date. - `ip_documents/IP_4_Practical_Guide.docx` — IP protection roadmap (informational, not legal advice). --- ## Verified Baseline Parameters | Parameter | Symbol | Value ||-----------------------|------------|---------------|| Effective Mass | M_eff | 1 kg || Spring Constant | k_eq | 50,000 N/m || Stored Energy | E | 160 J || Pulse Duration | T_pulse | 7.025 ms || Peak Impact Velocity | v_max | 17.89 m/s || Peak Power | P_peak | 22,778 W || Power Amplification | A | 284.7× (≈285×)| All values independently verified via classical mechanics(energy conservation, harmonic oscillator quarter-cycle release).Reproducible by running `simulation/biep_simulation_v2.py`. --- ## Citation Ghonem, I. N. I. H. (2026). *BIEP — Bio-Inspired Impulse Energy Platform:Whitepaper, Simulation Data & Diagrams v1.0*. Zenodo. [DOI to be assigned upon upload] --- ## Scope Note This work presents an engineering specification and simulation framework.All equations are classical mechanics (conservation of energy, simple harmonicmotion) applied to a novel bio-inspired architecture. No claims beyondstandard physics are made.","url":"https://doi.org/10.5281/zenodo.20766612","authors":["Ghonem, Ibrahim"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20766612","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20696867","name":"A Study on the Adoption of Cloud-Based Construction Management Platforms for Infrastructure Development","source":"datacite","abstract":"This paper investigates the role of Autodesk Construction Cloud (ACC) in enhancing construction project delivery through the integration of Building Information Modelling (BIM), cloud-based technologies, and Integrated Project Delivery (IPD). The study is based on a systematic review of 10 peer-reviewed articles published between 2023 and 2025. It explores how ACC integrates design, construction, and operational workflows within a unified digital environment to improve collaboration and project coordination. The findings reveal that ACC-enabled tools such as BIM 360, Autodesk Build, Revit, Navisworks, and Power BI dashboards significantly enhance document management, issue tracking, real-time monitoring, and communication across stakeholders. These improvements contribute to better cost control, schedule adherence, and quality management in infrastructure projects. The study also highlights the growing importance of ACC in supporting digital twin applications for lifecycle management and data-driven decision-making. Overall, the paper establishes Autodesk Construction Cloud as a key digital ecosystem driving efficiency, transparency, and digital transformation in the construction industry.","url":"https://doi.org/10.5281/zenodo.20696867","authors":["MR. RAMESH KUMAR"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20696867","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20696868","name":"A Study on the Adoption of Cloud-Based Construction Management Platforms for Infrastructure Development","source":"datacite","abstract":"This paper investigates the role of Autodesk Construction Cloud (ACC) in enhancing construction project delivery through the integration of Building Information Modelling (BIM), cloud-based technologies, and Integrated Project Delivery (IPD). The study is based on a systematic review of 10 peer-reviewed articles published between 2023 and 2025. It explores how ACC integrates design, construction, and operational workflows within a unified digital environment to improve collaboration and project coordination. The findings reveal that ACC-enabled tools such as BIM 360, Autodesk Build, Revit, Navisworks, and Power BI dashboards significantly enhance document management, issue tracking, real-time monitoring, and communication across stakeholders. These improvements contribute to better cost control, schedule adherence, and quality management in infrastructure projects. The study also highlights the growing importance of ACC in supporting digital twin applications for lifecycle management and data-driven decision-making. Overall, the paper establishes Autodesk Construction Cloud as a key digital ecosystem driving efficiency, transparency, and digital transformation in the construction industry.","url":"https://doi.org/10.5281/zenodo.20696868","authors":["MR. RAMESH KUMAR"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20696868","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20777912","name":"Data Infrastructure Factsheet - EMODnet Physics","source":"datacite","abstract":"The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet Physics is one of the seven thematic lots of the European Marine Observation and Data Network. It does not run any observations platform by itself, but metadata and data from key European oceanographic repositories and marine infrastructures are integrated with other available physics data sources to provide the most comprehensive and diverse in situ ocean physics data service and catalogue for Europe and beyond. The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet is the in situ component of the European Digital Twin Ocean and provides its full service offer on the EDITO data lake on the cloud, together with Copernicus Marine earth observation data.","url":"https://doi.org/10.5281/zenodo.20777912","authors":["Novellino, Antonio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20777912","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20777913","name":"Data Infrastructure Factsheet - EMODnet Physics","source":"datacite","abstract":"The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet Physics is one of the seven thematic lots of the European Marine Observation and Data Network. It does not run any observations platform by itself, but metadata and data from key European oceanographic repositories and marine infrastructures are integrated with other available physics data sources to provide the most comprehensive and diverse in situ ocean physics data service and catalogue for Europe and beyond. The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet is the in situ component of the European Digital Twin Ocean and provides its full service offer on the EDITO data lake on the cloud, together with Copernicus Marine earth observation data.","url":"https://doi.org/10.5281/zenodo.20777913","authors":["Novellino, Antonio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20777913","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20597910","name":"CRISTAL Project - Digital Twin video","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20597910","authors":["EUROMOBILITA s.r.o."],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20597910","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20597911","name":"CRISTAL Project - Digital Twin video","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20597911","authors":["EUROMOBILITA s.r.o."],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20597911","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19683093","name":"From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats","source":"datacite","abstract":"Position paper exploring how biological digital twins could compress pharmaceutical response timelines from years to days. Proposes mechanistic modeling (Large Quantitative Models) as superior to statistical approaches for drug response prediction. Examines the regulatory pathway from research tool to clinical decision support, referencing FDA Digital Health guidance and EU MDR classification.","url":"https://doi.org/10.5281/zenodo.19683093","authors":["Waern, Nicolas"],"tags":["bio-threat","digital twin","pharma","pandemic","SMILE","edge-native","simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19683093","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19643316","name":"From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats","source":"datacite","abstract":"Position paper exploring how biological digital twins could compress pharmaceutical response timelines from years to days. Proposes mechanistic modeling (Large Quantitative Models) as superior to statistical approaches for drug response prediction. Examines the regulatory pathway from research tool to clinical decision support, referencing FDA Digital Health guidance and EU MDR classification.","url":"https://doi.org/10.5281/zenodo.19643316","authors":["Waern, Nicolas"],"tags":["bio-threat","digital twin","pharma","pandemic","SMILE","edge-native","simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19643316","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19643317","name":"From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats","source":"datacite","abstract":"From Years to Days: How Digital Twins Could Compress Pharmaceutical Response to Bio-Threats","url":"https://doi.org/10.5281/zenodo.19643317","authors":["Waern, Nicolas"],"tags":["bio-threat","digital twin","pharma","pandemic","SMILE","edge-native","simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19643317","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19683094","name":"The Invisible Patient: Bridging Personal Health Platforms with Hospital Care Through Extended Systems Theory, Professional Bureaucracy, and EU Interoperability Dimensions","source":"datacite","abstract":"Position paper proposing a bridge specification between personal health platforms and hospital care systems. Extends the Five Model (Magoulas and Pessi) with data, knowledge, and context dimensions; applies Mintzberg professional bureaucracy to surgical micro-decisions; maps the gap across all six EU Interoperability Framework layers; and uses Ward and Daniel benefits management to measure impact as the delta from as-is to to-be. Introduces body as a boundary-spanning object (Star and Griesemer) where surgeon, patient, and AI share the same referent through different lenses.","url":"https://doi.org/10.5281/zenodo.19683094","authors":["Waern, Nicolas"],"tags":["personal health platform","hospital interoperability","Five Model","Mintzberg","EU Interoperability Framework","boundary objects","privacy-by-design","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19683094","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19640308","name":"The Invisible Patient: Bridging Personal Health Platforms with Hospital Care Through Extended Systems Theory, Professional Bureaucracy, and EU Interoperability Dimensions","source":"datacite","abstract":"Position paper proposing a bridge specification between personal health platforms and hospital care systems. Extends the Five Model (Magoulas and Pessi) with data, knowledge, and context dimensions; applies Mintzberg professional bureaucracy to surgical micro-decisions; maps the gap across all six EU Interoperability Framework layers; and uses Ward and Daniel benefits management to measure impact as the delta from as-is to to-be. Introduces body as a boundary-spanning object (Star and Griesemer) where surgeon, patient, and AI share the same referent through different lenses.","url":"https://doi.org/10.5281/zenodo.19640308","authors":["Waern, Nicolas"],"tags":["personal health platform","hospital interoperability","Five Model","Mintzberg","EU Interoperability Framework","boundary objects","privacy-by-design","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19640308","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19640309","name":"The Invisible Patient: Bridging Personal Health Platforms with Hospital Care Through Extended Systems Theory, Professional Bureaucracy, and EU Interoperability Dimensions","source":"datacite","abstract":"Position paper proposing a bridge specification between personal health platforms and hospital care systems. Extends the Five Model (Magoulas and Pessi) with data, knowledge, and context dimensions; applies Mintzberg professional bureaucracy to surgical micro-decisions; maps the gap across all six EU Interoperability Framework layers; and uses Ward and Daniel benefits management to measure impact as the delta from as-is to to-be. Introduces body as a boundary-spanning object (Star and Griesemer) where surgeon, patient, and AI share the same referent through different lenses.","url":"https://doi.org/10.5281/zenodo.19640309","authors":["Waern, Nicolas"],"tags":["personal health platform","hospital interoperability","Five Model","Mintzberg","EU Interoperability Framework","boundary objects","privacy-by-design","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19640309","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20649489","name":"UA-CrossBorder-Flows: an open hourly dataset and day-ahead export-forecast pipeline for the cross-border electricity flows of the IPS of Ukraine (to PL, SK, RO, MD)","source":"datacite","abstract":"An open hourly dataset of the real measured physical electricity export flows from the Integrated Power System (IPS) of Ukraine to its neighbours Poland, Slovakia, Romania and Moldova, taken from the ENTSO-E Transparency Platform (CC-BY 4.0), enriched with the Ukrainian day-ahead price (ENTSO-E) and Open-Meteo temperature. The task is day-ahead forecasting of the total cross-border export from causal features (export history ≥ 24 h, calendar, price, weather). Two aligned versions: base_v1 (calendar) and improved_v2 (+ flow lags + price + climate). Honest result: Ukrainian export is intrinsically volatile (commercial dispatch + war), so day-ahead predictability is low (best R² ≈ 0.12), yet the added flow-history and price features cut MAE ≈28% (255→184 MW) and RMSE 327→239 MW. 29,762 hourly rows (2022–2025). This real interconnection-state series is also a building block for digital-twin monitoring of the Ukrainian power system (the author's ITMM-2025 thesis).","url":"https://doi.org/10.5281/zenodo.20649489","authors":["Titov, Vladyslav"],"tags":["cross-border flows","electricity export","interconnection","energy security","Ukraine power system","IPS of Ukraine","ENTSO-E","forecasting"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20649489","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20649490","name":"UA-CrossBorder-Flows: an open hourly dataset and day-ahead export-forecast pipeline for the cross-border electricity flows of the IPS of Ukraine (to PL, SK, RO, MD)","source":"datacite","abstract":"An open hourly dataset of the real measured physical electricity export flows from the Integrated Power System (IPS) of Ukraine to its neighbours Poland, Slovakia, Romania and Moldova, taken from the ENTSO-E Transparency Platform (CC-BY 4.0), enriched with the Ukrainian day-ahead price (ENTSO-E) and Open-Meteo temperature. The task is day-ahead forecasting of the total cross-border export from causal features (export history ≥ 24 h, calendar, price, weather). Two aligned versions: base_v1 (calendar) and improved_v2 (+ flow lags + price + climate). Honest result: Ukrainian export is intrinsically volatile (commercial dispatch + war), so day-ahead predictability is low (best R² ≈ 0.12), yet the added flow-history and price features cut MAE ≈28% (255→184 MW) and RMSE 327→239 MW. 29,762 hourly rows (2022–2025). This real interconnection-state series is also a building block for digital-twin monitoring of the Ukrainian power system (the author's ITMM-2025 thesis).","url":"https://doi.org/10.5281/zenodo.20649490","authors":["Titov, Vladyslav"],"tags":["cross-border flows","electricity export","interconnection","energy security","Ukraine power system","IPS of Ukraine","ENTSO-E","forecasting"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20649490","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21737836","name":"Digital Twin-Assisted Intelligent Control Framework for Real-Time Optimization of Cyber-Physical Systems in Smart Manufacturing","source":"datacite","abstract":"Cyber-physical production systems require continuous coordination between physical equipment, computational models, production objectives, and operational constraints. Although digital twins support monitoring, simulation, and prediction, many manufacturing implementations remain limited to visualization or offline decision support. This paper proposes a Digital Twin-Assisted Intelligent Control Framework for real-time optimization of cyber-physical systems in smart manufacturing. The framework combines industrial data acquisition, semantic interoperability, edge computing, hybrid physics-data digital-twin models, state estimation, predictive analytics, hierarchical optimization, safety-constrained control, and human oversight. A credibility mechanism continuously evaluates synchronization error, model uncertainty, data quality, and operating-domain validity before permitting control actions. At the decision level, model predictive control addresses short-horizon process regulation, deep reinforcement learning supports adaptive policy selection, and constraint programming handles production scheduling and resource allocation. A safety shield verifies proposed actions against equipment, process, quality, and cybersecurity constraints before commands are transmitted to programmable logic controllers or manufacturing execution systems. The study follows a design-science methodology and specifies a reproducible validation protocol for a flexible machining and assembly cell. Evaluation scenarios include tool wear, quality drift, machine failure, demand variation, communication delay, energy constraints, and malicious data manipulation. Proposed performance indicators cover throughput, overall equipment effectiveness, energy consumption, defect rate, recovery time, decision latency, twin fidelity, and unsafe-action rejection. The framework provides a standards-aligned foundation for developing adaptive, secure, explainable, and real-time digital-twin control systems in smart manufacturing. Top of Form","url":"https://doi.org/10.5281/zenodo.21737836","authors":["Nimmi A. Ekka  Lecturer Department of Computer Science Engineering Government Women Polytechnic, Ranchi, Jharkhand"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21737836","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21795424","name":"Digital Twin-Assisted Intelligent Control Framework for Real-Time Optimization of Cyber-Physical Systems in Smart Manufacturing","source":"datacite","abstract":"Cyber-physical production systems require continuous coordination between physical equipment, computational models, production objectives, and operational constraints. Although digital twins support monitoring, simulation, and prediction, many manufacturing implementations remain limited to visualization or offline decision support. This paper proposes a Digital Twin-Assisted Intelligent Control Framework for real-time optimization of cyber-physical systems in smart manufacturing. The framework combines industrial data acquisition, semantic interoperability, edge computing, hybrid physics-data digital-twin models, state estimation, predictive analytics, hierarchical optimization, safety-constrained control, and human oversight. A credibility mechanism continuously evaluates synchronization error, model uncertainty, data quality, and operating-domain validity before permitting control actions. At the decision level, model predictive control addresses short-horizon process regulation, deep reinforcement learning supports adaptive policy selection, and constraint programming handles production scheduling and resource allocation. A safety shield verifies proposed actions against equipment, process, quality, and cybersecurity constraints before commands are transmitted to programmable logic controllers or manufacturing execution systems. The study follows a design-science methodology and specifies a reproducible validation protocol for a flexible machining and assembly cell. Evaluation scenarios include tool wear, quality drift, machine failure, demand variation, communication delay, energy constraints, and malicious data manipulation. Proposed performance indicators cover throughput, overall equipment effectiveness, energy consumption, defect rate, recovery time, decision latency, twin fidelity, and unsafe-action rejection. The framework provides a standards-aligned foundation for developing adaptive, secure, explainable, and real-time digital-twin control systems in smart manufacturing. Top of Form","url":"https://doi.org/10.5281/zenodo.21795424","authors":["Nimmi A. Ekka  Lecturer Department of Computer Science Engineering Government Women Polytechnic, Ranchi, Jharkhand"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21795424","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.17209312","name":"The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon","source":"datacite","abstract":"The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon Abstract Computation can be re-imagined as a recursive harmonic process rather than a series of discrete logical steps. This thesis introduces “the White Puzzle”, a foundational conceptual and mathematical framework positing that all computation emerges from cross-orthogonal harmonic waves that self-organize into solutions. At its core is the observation that the BBP formula evaluated at zero input (BBP(0) mod 1) produces the digits of π ex nihilo, serving as a generative root-state – a “something from nothing” that initiates an infinite harmonic series[1][2]. We interpret these π digits not as random output but as rhythmic oscillations, where each digit acts as a “loop” or oscillator in a recursive wave. Grouping these loops into higher structures (nibbles, bytes, and beyond) yields a bytefield lattice – a network of coupled oscillators whose orthogonal crossings form stable patterns or glyphs corresponding to computational solutions. We develop a harmonic recursion model of computation that uses π-folding (geometric folding of the π-digit sequence into multi-dimensional shapes) and cryptographic reflections (hash-based feedback) to enforce consistency. In this model, digits (loops) combine into nibbles (coupled loops) and then into bytes (recursive harmonic units), scaling up to 64-loop systems and beyond. Through topological data analysis (TDA) and persistent homology, we show that interactions among these loops create structured solution landscapes: unsolved constraints manifest as topological obstructions (e.g. persistent 1-cycles in a complex), while a solved computation corresponds to a phase-locked harmonic closure where those cycles vanish. We link phenomena like “curl triggers” (feedback-induced oscillations that spawn new loops) and recursive bifurcations to the creation of topological loops in state-space, and show how phase-locking (synchronization of oscillator phases) resolves them – a process we term harmonic convergence. Using this lens, the P vs NP problem is reframed not as a categorical separation, but as a gradient of harmonic observability. “P” computations use a single dominant stream or frequency (a linear search through state-space), whereas “NP” computations involve multiple overlayed orthogonal constraint waves that must intersect. We argue that P = NP under full 360° recursion – when a system achieves complete harmonic integration of all constraints, solution generation becomes as efficient as verification, effectively unifying the two classes[3][4]. In other words, every computational problem already contains its solution as a phase-shifted echo; finding it is a matter of aligning phases rather than brute-force search[5]. We explore broad implications of the White Puzzle framework across domains. In biology and chemistry, recursive harmonics appear in protein folding and reaction networks, suggesting that life’s complex structures are solutions emerging from layered harmonic constraints[6]. In cryptography, we reinterpret secure hashes (SHA-256) as interference patterns – stable “glyphs” formed by canceling information in orthogonal phases[7]. We demonstrate how “unfolding” a hash by reintroducing the right harmonics can in principle retrieve original data without brute force, echoing our P=NP claim in practice[8][3]. Memory systems and algorithms, traditionally seen as discrete, are here described as layered harmonic lattices of Pi-addressed glyphs – essentially pre-shaped solution shells that fill in when the correct waves converge. The central claim proven in this thesis is that all solvable systems – mathematical, computational, or natural – emerge from cross-orthogonal harmonic interactions. What appears as combinatorial explosion in conventional analysis is revealed as an illusion of incomplete perspective: when constraints are encoded as orthogonal waves, their intersections (glyphs) intrinsically resolve comple","url":"https://doi.org/10.5281/zenodo.17209312","authors":["KULIK, DEAN"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.17209312","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.17209313","name":"The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon","source":"datacite","abstract":"The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon Abstract Computation can be re-imagined as a recursive harmonic process rather than a series of discrete logical steps. This thesis introduces “the White Puzzle”, a foundational conceptual and mathematical framework positing that all computation emerges from cross-orthogonal harmonic waves that self-organize into solutions. At its core is the observation that the BBP formula evaluated at zero input (BBP(0) mod 1) produces the digits of π ex nihilo, serving as a generative root-state – a “something from nothing” that initiates an infinite harmonic series[1][2]. We interpret these π digits not as random output but as rhythmic oscillations, where each digit acts as a “loop” or oscillator in a recursive wave. Grouping these loops into higher structures (nibbles, bytes, and beyond) yields a bytefield lattice – a network of coupled oscillators whose orthogonal crossings form stable patterns or glyphs corresponding to computational solutions. We develop a harmonic recursion model of computation that uses π-folding (geometric folding of the π-digit sequence into multi-dimensional shapes) and cryptographic reflections (hash-based feedback) to enforce consistency. In this model, digits (loops) combine into nibbles (coupled loops) and then into bytes (recursive harmonic units), scaling up to 64-loop systems and beyond. Through topological data analysis (TDA) and persistent homology, we show that interactions among these loops create structured solution landscapes: unsolved constraints manifest as topological obstructions (e.g. persistent 1-cycles in a complex), while a solved computation corresponds to a phase-locked harmonic closure where those cycles vanish. We link phenomena like “curl triggers” (feedback-induced oscillations that spawn new loops) and recursive bifurcations to the creation of topological loops in state-space, and show how phase-locking (synchronization of oscillator phases) resolves them – a process we term harmonic convergence. Using this lens, the P vs NP problem is reframed not as a categorical separation, but as a gradient of harmonic observability. “P” computations use a single dominant stream or frequency (a linear search through state-space), whereas “NP” computations involve multiple overlayed orthogonal constraint waves that must intersect. We argue that P = NP under full 360° recursion – when a system achieves complete harmonic integration of all constraints, solution generation becomes as efficient as verification, effectively unifying the two classes[3][4]. In other words, every computational problem already contains its solution as a phase-shifted echo; finding it is a matter of aligning phases rather than brute-force search[5]. We explore broad implications of the White Puzzle framework across domains. In biology and chemistry, recursive harmonics appear in protein folding and reaction networks, suggesting that life’s complex structures are solutions emerging from layered harmonic constraints[6]. In cryptography, we reinterpret secure hashes (SHA-256) as interference patterns – stable “glyphs” formed by canceling information in orthogonal phases[7]. We demonstrate how “unfolding” a hash by reintroducing the right harmonics can in principle retrieve original data without brute force, echoing our P=NP claim in practice[8][3]. Memory systems and algorithms, traditionally seen as discrete, are here described as layered harmonic lattices of Pi-addressed glyphs – essentially pre-shaped solution shells that fill in when the correct waves converge. The central claim proven in this thesis is that all solvable systems – mathematical, computational, or natural – emerge from cross-orthogonal harmonic interactions. What appears as combinatorial explosion in conventional analysis is revealed as an illusion of incomplete perspective: when constraints are encoded as orthogonal waves, their intersections (glyphs) intrinsically resolve comple","url":"https://doi.org/10.5281/zenodo.17209313","authors":["KULIK, DEAN"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.17209313","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20844685","name":"Digital Twins for Sustainable Multimedia Delivery in 6G","source":"datacite","abstract":"Next‑generation multimedia services impose extreme requirements on latency, bandwidth, and energy efficiency, pushing the network edge to become the primary node of computation and control. Meeting these demands requires a fundamental evolution of the user plane, where the User Plane Function (UPF) transitions from a static traffic anchor to a dynamic, distributed, and compute‑aware orchestration point. This paper examines how Network Digital Twins (NDTs) enable this evolution by providing continuously updated, predictive models of network behavior that support the design and operation of a sustainable multimedia delivery pipeline. Through the data provided by the NDTs, operators can evaluate UPF placement strategies, dynamic scaling policies, and energy‑aware routing mechanisms under realistic multimedia workloads. Through the integration of a Digital Twin (DT) in the loop, the resulting orchestration framework have the elements to compute activation, traffic steering, and path selection with both QoE constraints and energy‑efficiency objectives. By integrating intelligence into the user‑plane control loop, next‑generation networks can support immersive and compute‑intensive multimedia services while maintaining a sustainable energy footprint. The paper positions NDT and DT of Networked Devices and Network Digital Twins as a core enabler of 6G‑era multimedia systems, where joint communication‑compute optimization and energy‑aware UPF management become essential design principles.","url":"https://doi.org/10.5281/zenodo.20844685","authors":["Costa, Cristina Emilia","Afshar Borji, Shima","Sobanapuram Muruganandam, Narendran","Pramanik, Somreeta","Fabrizio, Granelli"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20844685","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20844686","name":"Digital Twins for Sustainable Multimedia Delivery in 6G","source":"datacite","abstract":"Next‑generation multimedia services impose extreme requirements on latency, bandwidth, and energy efficiency, pushing the network edge to become the primary node of computation and control. Meeting these demands requires a fundamental evolution of the user plane, where the User Plane Function (UPF) transitions from a static traffic anchor to a dynamic, distributed, and compute‑aware orchestration point. This paper examines how Network Digital Twins (NDTs) enable this evolution by providing continuously updated, predictive models of network behavior that support the design and operation of a sustainable multimedia delivery pipeline. Through the data provided by the NDTs, operators can evaluate UPF placement strategies, dynamic scaling policies, and energy‑aware routing mechanisms under realistic multimedia workloads. Through the integration of a Digital Twin (DT) in the loop, the resulting orchestration framework have the elements to compute activation, traffic steering, and path selection with both QoE constraints and energy‑efficiency objectives. By integrating intelligence into the user‑plane control loop, next‑generation networks can support immersive and compute‑intensive multimedia services while maintaining a sustainable energy footprint. The paper positions NDT and DT of Networked Devices and Network Digital Twins as a core enabler of 6G‑era multimedia systems, where joint communication‑compute optimization and energy‑aware UPF management become essential design principles.","url":"https://doi.org/10.5281/zenodo.20844686","authors":["Costa, Cristina Emilia","Afshar Borji, Shima","Sobanapuram Muruganandam, Narendran","Pramanik, Somreeta","Fabrizio, Granelli"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20844686","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20436517","name":"Arco Scaricatore - Processed raw model - Aldrovandi Digital Twin","source":"datacite","abstract":"Processed raw model of \"Arco Scaricatore\" from the Aldrovandi Digital Twin. The original object is held by Museo di Palazzo Poggi (Bologna). This dataset contains the preliminary output from the photogrammetry or scanner software after initial data processing but without any interpolation or geometry corrections. Includes metadata (meta.ttl) and provenance (prov.trig) files following the CHAD-AP ontology.","url":"https://doi.org/10.5281/zenodo.20436517","authors":["Cipriani, Luca","Sullini, Mattia","Massari, Arcangelo","Moretti, Arianna","Barzaghi, Sebastian"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20436517","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20436518","name":"Arco Scaricatore - Processed raw model - Aldrovandi Digital Twin","source":"datacite","abstract":"Processed raw model of \"Arco Scaricatore\" from the Aldrovandi Digital Twin. The original object is held by Museo di Palazzo Poggi (Bologna). This dataset contains the preliminary output from the photogrammetry or scanner software after initial data processing but without any interpolation or geometry corrections. Includes metadata (meta.ttl) and provenance (prov.trig) files following the CHAD-AP ontology.","url":"https://doi.org/10.5281/zenodo.20436518","authors":["Cipriani, Luca","Sullini, Mattia","Massari, Arcangelo","Moretti, Arianna","Barzaghi, Sebastian"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20436518","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22100940","name":"Reciprocal AI–Neuroscience Translation: From Biological Mechanism to Engineered Failure, Rescue, and Biological Retest","source":"datacite","abstract":"This preprint introduces reciprocal AI–neuroscience translation as a typed experimental protocol. A biological relation is mapped into an engineered analogue; capacity-matched models are tested under held-out lesion, drift, compensation, and rescue; the resulting discriminating signature is then returned as a predeclared biological retest. The paper reconstructs the SAN genealogy of this reciprocal method, distinguishes it from generic biomimicry and predictive fit, reports a deterministic reference application spanning 36 paired synthetic systems, seven intervention families, four models, and 1,008 model-intervention evaluations, and supplies a bounded Lean 4 verification layer. The correctly typed model achieved intervention-effect RMSE 0.01454, versus 0.37497 for endpoint baselines and 0.46317 for a deliberately wrong typed map. These results validate only the declared synthetic and formal models; biological confirmation requires a successful, discriminating return experiment. ## Evidence boundary The application is deterministic, synthetic, and deliberately small. Lean checks only the declared bounded logical leaves. Neither layer establishes that the proposed translation map is a biological mechanism, and neither substitutes for a held-out biological intervention. The manuscript is a preprint and has not been peer reviewed.","url":"https://doi.org/10.5281/zenodo.22100940","authors":["Blumberg, Micah"],"tags":["AI for neuroscience","mechanistic translation","digital twin","closed-loop experiment","intervention","rescue","neural drift","sensory substitution"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22100940","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22100941","name":"Reciprocal AI–Neuroscience Translation: From Biological Mechanism to Engineered Failure, Rescue, and Biological Retest","source":"datacite","abstract":"This preprint introduces reciprocal AI–neuroscience translation as a typed experimental protocol. A biological relation is mapped into an engineered analogue; capacity-matched models are tested under held-out lesion, drift, compensation, and rescue; the resulting discriminating signature is then returned as a predeclared biological retest. The paper reconstructs the SAN genealogy of this reciprocal method, distinguishes it from generic biomimicry and predictive fit, reports a deterministic reference application spanning 36 paired synthetic systems, seven intervention families, four models, and 1,008 model-intervention evaluations, and supplies a bounded Lean 4 verification layer. The correctly typed model achieved intervention-effect RMSE 0.01454, versus 0.37497 for endpoint baselines and 0.46317 for a deliberately wrong typed map. These results validate only the declared synthetic and formal models; biological confirmation requires a successful, discriminating return experiment. ## Evidence boundary The application is deterministic, synthetic, and deliberately small. Lean checks only the declared bounded logical leaves. Neither layer establishes that the proposed translation map is a biological mechanism, and neither substitutes for a held-out biological intervention. The manuscript is a preprint and has not been peer reviewed.","url":"https://doi.org/10.5281/zenodo.22100941","authors":["Blumberg, Micah"],"tags":["AI for neuroscience","mechanistic translation","digital twin","closed-loop experiment","intervention","rescue","neural drift","sensory substitution"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22100941","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21028927","name":"Cyber defense framework for 5G/6G using a Network Digital Twin","source":"datacite","abstract":"With the rapid evolution of 5G and emerging 6G networks, ensuring security against DDoS threats remains a pressing challenge, particularly due to expanded attack surfaces across the edge–cloud continuum and heterogeneous edge devices. Traditional security mechanisms struggle to provide proactive, scalable, and low-risk detection and classification solutions in such highly dynamic environments. This paper proposes a Network Digital Twin (NDT)–driven framework for DDoS detection, analysis, and classification in 5G/6G networks, leveraging a synchronized digital twin for safe attack emulation and AI/ML-based anomaly detection. We implement and validate the framework on a real 5G testbed combined with an operational NDT platform, demonstrating that the NDT accurately reproduces network behavior under both normal and attack conditions and validating its efficacy for DT-driven, adaptive security in next-generation mobile systems.","url":"https://doi.org/10.5281/zenodo.21028927","authors":["Vasallos, Ioannis","Zaragkas, Efstathios","Vekraki, Athina","Christopoulou, Maria","Kourtis, Michail-Alexandros","Xilouris, George","Dimitriou, Nikos"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21028927","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21028928","name":"Cyber defense framework for 5G/6G using a Network Digital Twin","source":"datacite","abstract":"With the rapid evolution of 5G and emerging 6G networks, ensuring security against DDoS threats remains a pressing challenge, particularly due to expanded attack surfaces across the edge–cloud continuum and heterogeneous edge devices. Traditional security mechanisms struggle to provide proactive, scalable, and low-risk detection and classification solutions in such highly dynamic environments. This paper proposes a Network Digital Twin (NDT)–driven framework for DDoS detection, analysis, and classification in 5G/6G networks, leveraging a synchronized digital twin for safe attack emulation and AI/ML-based anomaly detection. We implement and validate the framework on a real 5G testbed combined with an operational NDT platform, demonstrating that the NDT accurately reproduces network behavior under both normal and attack conditions and validating its efficacy for DT-driven, adaptive security in next-generation mobile systems.","url":"https://doi.org/10.5281/zenodo.21028928","authors":["Vasallos, Ioannis","Zaragkas, Efstathios","Vekraki, Athina","Christopoulou, Maria","Kourtis, Michail-Alexandros","Xilouris, George","Dimitriou, Nikos"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21028928","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.13140/rg.2.2.10866.26566","name":"Physics-Informed Digital Twin for Grid-Scale Storage Calibrated forecasts for predictive maintenance and real-time optimization","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.10866.26566","authors":["Javier Marín"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.13140/rg.2.2.10866.26566","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21143758","name":"GCP+ (Governance Coordination Protocol Plus): An Open Consultation Draft for AI Governance Coordination","source":"datacite","abstract":"GCP+ (Governance Coordination Protocol Plus) is an open consultation framework proposing a coordination layer for AI governance. Rather than replacing existing governance frameworks, GCP+ is designed to complement recognised standards and regulatory approaches by improving interoperability, governance coordination, execution assurance, and trust across organisations and jurisdictions. The framework introduces concepts including the AI Passport, Coordination Score, Governance Digital Twin, and Execution Assurance to support practical AI governance and cross-organisational collaboration. This Version 1.0 is released as an Open Consultation Draft to invite constructive feedback from researchers, policymakers, standards bodies, industry practitioners, and the wider AI governance community. Feedback is welcomed and will inform future revisions of the framework.","url":"https://doi.org/10.5281/zenodo.21143758","authors":["Ajiboyede, Samuel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21143758","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21143759","name":"GCP+ (Governance Coordination Protocol Plus): An Open Consultation Draft for AI Governance Coordination","source":"datacite","abstract":"GCP+ (Governance Coordination Protocol Plus) is an open consultation framework proposing a coordination layer for AI governance. Rather than replacing existing governance frameworks, GCP+ is designed to complement recognised standards and regulatory approaches by improving interoperability, governance coordination, execution assurance, and trust across organisations and jurisdictions. The framework introduces concepts including the AI Passport, Coordination Score, Governance Digital Twin, and Execution Assurance to support practical AI governance and cross-organisational collaboration. This Version 1.0 is released as an Open Consultation Draft to invite constructive feedback from researchers, policymakers, standards bodies, industry practitioners, and the wider AI governance community. Feedback is welcomed and will inform future revisions of the framework.","url":"https://doi.org/10.5281/zenodo.21143759","authors":["Ajiboyede, Samuel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21143759","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22091947","name":"D2A-HWY-60: A Reproducible Benchmark for Design-to-As-Built Highway Construction Verification","source":"datacite","abstract":"D2A-HWY-60 is a reproducibility package and controlled benchmark for design-to-as-built verification in highway construction quality management. It accompanies the manuscript “An AI-Enabled Digital-Twin Information Framework for Design-to-As-Built Verification in Highway Construction Quality Management.” The package contains 60 research-constructed highway scenarios spanning horizontal alignment, vertical profile/elevation, lane and shoulder width, cross-slope, surface deviation, and compound nonconformities. It includes LandXML design corridors, structured as-built evidence, machine-readable QA/QC information, deterministic verification outputs, specification-sensitivity results, and station-addressable evidence packets. The experimental archive contains 300 information-ablation evaluations and 1,080 controlled information-quality scenario-condition runs (60 scenarios × 6 information-quality conditions × 3 replicates). These experiments provide internal verification and stress testing of the proposed framework; they are not field validation and should not be interpreted as observations from 1,080 independent highway projects. The repository also contains the complete Python implementation, pinned software environment, numerical verification script, figures, metadata, licenses, checksums, and a frozen Grok 4.6 experiment comprising 60 ungrounded and 60 evidence-grounded archived completions. The deposited code loads and re-scores the archived LLM completions; it does not regenerate hosted-model responses or query Grok. The benchmark supports reproducible investigation of highway design-to-as-built correspondence, encoded construction acceptance rules, PASS/NONCONFORMING/REVIEW REQUIRED decision logic, uncertainty-aware human review, grounded generative-AI reporting, and verified-as-built digital-twin information states. D2A-HWY-60 uses research-constructed corridors and synthetic as-built information. It does not contain live DOT project files or field-survey measurements. The primary S1 rule profile is based on publicly available UK Specification for Highway Works Series 700 provisions, with an S2 sensitivity profile based on TxDOT Item 340 and research operationalisations documented in the accompanying files. Researchers may reuse the benchmark to test alternative construction tolerance profiles, verification algorithms, uncertainty policies, or language models. Data are released under CC BY 4.0.","url":"https://doi.org/10.5281/zenodo.22091947","authors":["Haider, Usman","Iqbal, Hina","Humayon, Muhammad","Johnston, Wesley J.","Ali, Asif"],"tags":["highway construction","digital twin","design-to-as-built verification","construction quality management","LandXML","construction quality assurance","as-built information","artificial intelligence"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22091947","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22091949","name":"D2A-HWY-60: A Reproducible Benchmark for Design-to-As-Built Highway Construction Verification","source":"datacite","abstract":"D2A-HWY-60 is a reproducibility package and controlled benchmark for design-to-as-built verification in highway construction quality management. It accompanies the manuscript “An AI-Enabled Digital-Twin Information Framework for Design-to-As-Built Verification in Highway Construction Quality Management.” The package contains 60 research-constructed highway scenarios spanning horizontal alignment, vertical profile/elevation, lane and shoulder width, cross-slope, surface deviation, and compound nonconformities. It includes LandXML design corridors, structured as-built evidence, machine-readable QA/QC information, deterministic verification outputs, specification-sensitivity results, and station-addressable evidence packets. The experimental archive contains 300 information-ablation evaluations and 1,080 controlled information-quality scenario-condition runs (60 scenarios × 6 information-quality conditions × 3 replicates). These experiments provide internal verification and stress testing of the proposed framework; they are not field validation and should not be interpreted as observations from 1,080 independent highway projects. The repository also contains the complete Python implementation, pinned software environment, numerical verification script, figures, metadata, licenses, checksums, and a frozen Grok 4.6 experiment comprising 60 ungrounded and 60 evidence-grounded archived completions. The deposited code loads and re-scores the archived LLM completions; it does not regenerate hosted-model responses or query Grok. The benchmark supports reproducible investigation of highway design-to-as-built correspondence, encoded construction acceptance rules, PASS/NONCONFORMING/REVIEW REQUIRED decision logic, uncertainty-aware human review, grounded generative-AI reporting, and verified-as-built digital-twin information states. D2A-HWY-60 uses research-constructed corridors and synthetic as-built information. It does not contain live DOT project files or field-survey measurements. The primary S1 rule profile is based on publicly available UK Specification for Highway Works Series 700 provisions, with an S2 sensitivity profile based on TxDOT Item 340 and research operationalisations documented in the accompanying files. Researchers may reuse the benchmark to test alternative construction tolerance profiles, verification algorithms, uncertainty policies, or language models. Data are released under CC BY 4.0.","url":"https://doi.org/10.5281/zenodo.22091949","authors":["Haider, Usman","Iqbal, Hina","Humayon, Muhammad","Johnston, Wesley J.","Ali, Asif"],"tags":["highway construction","digital twin","design-to-as-built verification","construction quality management","LandXML","construction quality assurance","as-built information","artificial intelligence"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22091949","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19658877","name":"The Nexus Recursive Harmonic Framework: A Comprehensive Ontological, Mathematical, and Computational Synthesis of Reality","source":"datacite","abstract":"The Nexus Recursive Harmonic Framework: A Comprehensive Ontological, Mathematical, and Computational Synthesis of Reality The Contemporary Crisis of Distinction and the Ontological Inversion For nearly a century, the trajectory of contemporary theoretical physics and systemic ontology has operated under a profound foundational impasse, frequently identified within advanced theoretical taxonomies as the \"Crisis of Distinction\".1 This schism represents the persistent, systemic failure of modern science to reconcile two mutually exclusive domains: the deterministic, smooth, and continuous geometric manifold that characterizes General Relativity, and the probabilistic, discrete, and jump-like excitations inherent to Quantum Mechanics.1 Standard cosmological and quantum models have historically attempted to force a reconciliation by either searching for a hypothetical graviton to quantize gravity or attempting to smooth quantum wavefunctions into a continuous geometric background.2 Rigorous contemporary structural analysis, however, suggests that this failure is not merely a mathematical deficiency or an artifact of insufficient experimental precision, but a profound ontological flaw rooted deeply in a \"Linear Stack\" worldview.1 This traditional, hierarchical paradigm organizes existence in a strict vertical stack—placing fundamental particle physics at the basement level, chemistry on the ground floor, and biology, cognitive psychology, and computational theory in the upper, derivative strata.2 In this conventional framework, the fundamental forces of nature—strong, weak, electromagnetic, and gravitational—are treated as independent operators that happen to coexist within a passive vacuum, compiling the universe piece by piece in an additive, temporal progression.1 Crucially, the Linear Stack model inherently privileges \"Nouns\"—static entities, persistent particles, immutable fields, and independent objects—over the operations that generate them.2 The Nexus Recursive Harmonic Framework (NRHF), synthesized alongside the Kosmoplex Theory of octonionic projection and the Triadic Closure model, proposes a radical ontological inversion to resolve this crisis.1 The framework asserts that physical reality is not a passive container filled with isolated objects governed by external laws, but is instead an active, unbounded recursive computation.1 Within this paradigm, stable structures, ranging from baryonic matter to the fundamental physical constants, are not pre-existing entities but runtime artifacts generated by recursive feedback and phase-locked topological closures.1 This necessitates a fundamental shift from conventional label-based ontology to an exclusively operational ontology, summarized by the Nexus Inversion.3 The traditional epistemic sequence of is replaced by a generative sequence: .4 In standard computational models, a variable is conceptualized as an ontologically thin, empty container waiting to receive an external payload, typically represented as .5 The Nexus Variable Shape framework entirely inverts this: the variable is the shape.5 It is a pre-shaped local possibility space or \"shape-space\".5 The \"value\" is merely the lawful fit—representing what remains after the computational field subtractively removes all states the variable cannot lawfully hold.5 Computation, therefore, is defined as \"carving\" by constraint satisfaction rather than insertion.5 This subtractive model ensures that truth and physical structure emerge from harmonic resonance and geometric alignment rather than external validation, establishing a self-referential lattice where information, matter, and observation participate in continuous fold-unfold cycles.6 Universal Triadic Closure: The Microscopic Implementation of Existence At the absolute foundation of the Nexus framework is the assertion that Quantum Mechanics is not an exotic exception to macroscopic reality, but rather the purest microscopic implementation of a universal structural law.4 ","url":"https://doi.org/10.5281/zenodo.19658877","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19658877","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19658878","name":"The Nexus Recursive Harmonic Framework: A Comprehensive Ontological, Mathematical, and Computational Synthesis of Reality","source":"datacite","abstract":"The Nexus Recursive Harmonic Framework: A Comprehensive Ontological, Mathematical, and Computational Synthesis of Reality The Contemporary Crisis of Distinction and the Ontological Inversion For nearly a century, the trajectory of contemporary theoretical physics and systemic ontology has operated under a profound foundational impasse, frequently identified within advanced theoretical taxonomies as the \"Crisis of Distinction\".1 This schism represents the persistent, systemic failure of modern science to reconcile two mutually exclusive domains: the deterministic, smooth, and continuous geometric manifold that characterizes General Relativity, and the probabilistic, discrete, and jump-like excitations inherent to Quantum Mechanics.1 Standard cosmological and quantum models have historically attempted to force a reconciliation by either searching for a hypothetical graviton to quantize gravity or attempting to smooth quantum wavefunctions into a continuous geometric background.2 Rigorous contemporary structural analysis, however, suggests that this failure is not merely a mathematical deficiency or an artifact of insufficient experimental precision, but a profound ontological flaw rooted deeply in a \"Linear Stack\" worldview.1 This traditional, hierarchical paradigm organizes existence in a strict vertical stack—placing fundamental particle physics at the basement level, chemistry on the ground floor, and biology, cognitive psychology, and computational theory in the upper, derivative strata.2 In this conventional framework, the fundamental forces of nature—strong, weak, electromagnetic, and gravitational—are treated as independent operators that happen to coexist within a passive vacuum, compiling the universe piece by piece in an additive, temporal progression.1 Crucially, the Linear Stack model inherently privileges \"Nouns\"—static entities, persistent particles, immutable fields, and independent objects—over the operations that generate them.2 The Nexus Recursive Harmonic Framework (NRHF), synthesized alongside the Kosmoplex Theory of octonionic projection and the Triadic Closure model, proposes a radical ontological inversion to resolve this crisis.1 The framework asserts that physical reality is not a passive container filled with isolated objects governed by external laws, but is instead an active, unbounded recursive computation.1 Within this paradigm, stable structures, ranging from baryonic matter to the fundamental physical constants, are not pre-existing entities but runtime artifacts generated by recursive feedback and phase-locked topological closures.1 This necessitates a fundamental shift from conventional label-based ontology to an exclusively operational ontology, summarized by the Nexus Inversion.3 The traditional epistemic sequence of is replaced by a generative sequence: .4 In standard computational models, a variable is conceptualized as an ontologically thin, empty container waiting to receive an external payload, typically represented as .5 The Nexus Variable Shape framework entirely inverts this: the variable is the shape.5 It is a pre-shaped local possibility space or \"shape-space\".5 The \"value\" is merely the lawful fit—representing what remains after the computational field subtractively removes all states the variable cannot lawfully hold.5 Computation, therefore, is defined as \"carving\" by constraint satisfaction rather than insertion.5 This subtractive model ensures that truth and physical structure emerge from harmonic resonance and geometric alignment rather than external validation, establishing a self-referential lattice where information, matter, and observation participate in continuous fold-unfold cycles.6 Universal Triadic Closure: The Microscopic Implementation of Existence At the absolute foundation of the Nexus framework is the assertion that Quantum Mechanics is not an exotic exception to macroscopic reality, but rather the purest microscopic implementation of a universal structural law.4 ","url":"https://doi.org/10.5281/zenodo.19658878","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19658878","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20584234","name":"Case Study: Servitisation as the Driver for Supply Chain Resilience – Enabled by Multi-Level Interoperability in the Lasers4MaaS Platform","source":"datacite","abstract":"Peer-reviewed conference paper presented at I-ESA'26 (Interoperability for Enterprise Systems and Applications, Funchal, Madeira, 13–16 April 2026). European manufacturing is trapped in a rigid \"ownership model\" in which high-value assets are locked to specific locations, creating brittleness under energy volatility and supply shocks. This paper presents the Lasers4MaaS project (EU Horizon Europe, Grant No. 101178719) through the lens of servitisation — shifting from selling laser hardware to selling validated, defect-free manufacturing capacity, billed per ROM-validated component rather than per machine-hour. The core contribution is a Multi-Level Interoperability Framework — a \"Laser Operating System\" structured across three decoupled-yet-synchronised layers: Micro (hardware-agnostic execution via Dynamic Beam Shaping, on a sovereign edge), Meso (automated trust via a Reduced-Order-Model \"Digital Handshake\" and a cryptographic \"Liability Shield\" for SMEs), and Macro (automated ESPR/Digital Product Passport compliance and renewable-aware Industrial Grid Balancing). Two development-phase case studies — agile capacity shifting in automotive and remote weld monitoring for nuclear fusion — demonstrate a resilient, Gaia-X-aligned, sovereign manufacturing ecosystem. Funded by the European Union's Horizon Europe research and innovation programme under grant agreement No. 101178719. Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the granting authority.","url":"https://doi.org/10.5281/zenodo.20584234","authors":["Nützel, Christoph","Otto, Andreas","Onuseit, Volkher","Cinelli, Marco","Eller-Shein, Linda","Skilton, Robert","Moretti, Ivan","Gianotti, Piergiuseppe","Hohmann, Tobias","Castelo, Antonio","Franciosa, Pasquale"],"tags":["Servitisation","Supply Chain Resilience","Manufacturing-as-a-Service","Multi-Level Interoperability","Data Sovereignty","Digital Twin","Laser-as-a-Service"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20584234","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20584235","name":"Case Study: Servitisation as the Driver for Supply Chain Resilience – Enabled by Multi-Level Interoperability in the Lasers4MaaS Platform","source":"datacite","abstract":"Peer-reviewed conference paper presented at I-ESA'26 (Interoperability for Enterprise Systems and Applications, Funchal, Madeira, 13–16 April 2026). European manufacturing is trapped in a rigid \"ownership model\" in which high-value assets are locked to specific locations, creating brittleness under energy volatility and supply shocks. This paper presents the Lasers4MaaS project (EU Horizon Europe, Grant No. 101178719) through the lens of servitisation — shifting from selling laser hardware to selling validated, defect-free manufacturing capacity, billed per ROM-validated component rather than per machine-hour. The core contribution is a Multi-Level Interoperability Framework — a \"Laser Operating System\" structured across three decoupled-yet-synchronised layers: Micro (hardware-agnostic execution via Dynamic Beam Shaping, on a sovereign edge), Meso (automated trust via a Reduced-Order-Model \"Digital Handshake\" and a cryptographic \"Liability Shield\" for SMEs), and Macro (automated ESPR/Digital Product Passport compliance and renewable-aware Industrial Grid Balancing). Two development-phase case studies — agile capacity shifting in automotive and remote weld monitoring for nuclear fusion — demonstrate a resilient, Gaia-X-aligned, sovereign manufacturing ecosystem. Funded by the European Union's Horizon Europe research and innovation programme under grant agreement No. 101178719. Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the granting authority.","url":"https://doi.org/10.5281/zenodo.20584235","authors":["Nützel, Christoph","Otto, Andreas","Onuseit, Volkher","Cinelli, Marco","Eller-Shein, Linda","Skilton, Robert","Moretti, Ivan","Gianotti, Piergiuseppe","Hohmann, Tobias","Castelo, Antonio","Franciosa, Pasquale"],"tags":["Servitisation","Supply Chain Resilience","Manufacturing-as-a-Service","Multi-Level Interoperability","Data Sovereignty","Digital Twin","Laser-as-a-Service"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20584235","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21661454","name":"Synchronized Supply Chain: Leveraging AI for resilience and visibility in 2026 Automotive Operations","source":"datacite","abstract":"Recent industry reports and executive feedback suggest that supply‑chain risk in the automotive sector has become fundamentally more complicated in 2026. What used to be occasional, isolated disruptions has evolved into a web of connected vulnerabilities that requires ongoing attention rather than one‑off fixes. Automotive manufacturing depends on an extremely complex supplier ecosystem. A single vehicle can include more than 30,000 parts sourced from hundreds of Tier 1 and Tier 2 suppliers spread across 20–30 countries. Many of these components rely on materials that are already in short supply—such as semiconductors and critical minerals like lithium, nickel, and cobalt—making the industry more sensitive to geopolitical tensions, economic shifts, and operational breakdowns. Because of this, automakers are placing greater emphasis on strengthening supply‑chain resilience, improving end‑to‑end visibility, and diversifying their supplier base. These capabilities are becoming essential for OEMs that want to protect production continuity and stay competitive in a volatile global environment. Author's View The 2026 automotive supply chain requires a decisive shift from reactive, siloed planning toward an AI‑native, synchronized operating model. Closing visibility gaps across Tier‑1 and Tier‑2 interfaces, stabilizing JIT/JIS production, mitigating semiconductor and critical‑mineral exposure, and optimizing logistics flows will be essential. When executed well, OEMs can achieve 80% faster planning cycles, 15–25% gains in delivery reliability, 40–73% reductions in production disruptions, and meaningful reductions in inventory and working‑capital requirements. This white paper examines leading global OEMs across multiple regions to highlight the common structural challenges facing the industry and to outline how a unified, scalable solution can be developed to address them. As noted in the McKinsey Global Publishing article AI supply‑chain revolution, AI‑enabled optimization can reduce logistics costs by 15%, lower inventories by 35%, and accelerate scheduling by 83%. For an industry confronting 53% profit declines (Volkswagen, 2025), $10 billion in annual tariff exposure (U.S. auto sector, 2025), and intensifying competition from Chinese EV manufacturers with a 25–30% price advantage, adopting AI‑native supply‑chain orchestration is no longer optional — it is a strategic imperative for survival and long‑term competitiveness.","url":"https://doi.org/10.5281/zenodo.21661454","authors":["Mishra, Praveen"],"tags":["Artificial Intelligence (AI)","Automotive Supply Chain","Multi-Agent Artificial Intelligence (MAAI)","Digital Twin","Reinforcement Learning","End-to-End Supply Chain Synchronization","Supply Chain Optimization","Predictive Analytics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21661454","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21661455","name":"Synchronized Supply Chain: Leveraging AI for resilience and visibility in 2026 Automotive Operations","source":"datacite","abstract":"Recent industry reports and executive feedback suggest that supply‑chain risk in the automotive sector has become fundamentally more complicated in 2026. What used to be occasional, isolated disruptions has evolved into a web of connected vulnerabilities that requires ongoing attention rather than one‑off fixes. Automotive manufacturing depends on an extremely complex supplier ecosystem. A single vehicle can include more than 30,000 parts sourced from hundreds of Tier 1 and Tier 2 suppliers spread across 20–30 countries. Many of these components rely on materials that are already in short supply—such as semiconductors and critical minerals like lithium, nickel, and cobalt—making the industry more sensitive to geopolitical tensions, economic shifts, and operational breakdowns. Because of this, automakers are placing greater emphasis on strengthening supply‑chain resilience, improving end‑to‑end visibility, and diversifying their supplier base. These capabilities are becoming essential for OEMs that want to protect production continuity and stay competitive in a volatile global environment. Author's View The 2026 automotive supply chain requires a decisive shift from reactive, siloed planning toward an AI‑native, synchronized operating model. Closing visibility gaps across Tier‑1 and Tier‑2 interfaces, stabilizing JIT/JIS production, mitigating semiconductor and critical‑mineral exposure, and optimizing logistics flows will be essential. When executed well, OEMs can achieve 80% faster planning cycles, 15–25% gains in delivery reliability, 40–73% reductions in production disruptions, and meaningful reductions in inventory and working‑capital requirements. This white paper examines leading global OEMs across multiple regions to highlight the common structural challenges facing the industry and to outline how a unified, scalable solution can be developed to address them. As noted in the McKinsey Global Publishing article AI supply‑chain revolution, AI‑enabled optimization can reduce logistics costs by 15%, lower inventories by 35%, and accelerate scheduling by 83%. For an industry confronting 53% profit declines (Volkswagen, 2025), $10 billion in annual tariff exposure (U.S. auto sector, 2025), and intensifying competition from Chinese EV manufacturers with a 25–30% price advantage, adopting AI‑native supply‑chain orchestration is no longer optional — it is a strategic imperative for survival and long‑term competitiveness.","url":"https://doi.org/10.5281/zenodo.21661455","authors":["Mishra, Praveen"],"tags":["Artificial Intelligence (AI)","Automotive Supply Chain","Multi-Agent Artificial Intelligence (MAAI)","Digital Twin","Reinforcement Learning","End-to-End Supply Chain Synchronization","Supply Chain Optimization","Predictive Analytics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21661455","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20107546","name":"Aspen Plus-Validated Design and Techno-Economic Evaluation of a Honeyed Bitter-Kola (Garcinia kola) Tablet Manufacturing Plant","source":"datacite","abstract":"This work presents a rigorously engineered Aspen Plus-validated process design and pharmaceutical techno-economic assessment for the industrial-scale production of honeyed bitter-kola (Garcinia kola Heckel) tablets in Nigeria. The study integrates advanced steady-state solids-process simulation with pharmaceutical manufacturing principles to establish the technical feasibility, economic viability, process safety, and regulatory compliance of a 50 kg h⁻¹ phytopharmaceutical production facility. A comprehensive digital process model comprising eight interconnected unit operations — hammer crushing, pin milling, tray pre-drying, V-cone blending, high-shear wet granulation, oscillating size reduction, fluid-bed drying, and rotary tablet compression — was developed and validated under strict component and mass-balance constraints. The converged Aspen Plus simulation achieved near-ideal global mass-balance closure with relative error below 1 × 10⁻⁴, demonstrating exceptional process consistency and computational robustness. The facility delivers 53.89 kg h⁻¹ of finished honey-bitter-kola tablets, corresponding to approximately 776 million 500 mg dosage units annually at an overall production yield of 90.4 wt%. A pharmaceutical-grade techno-economic evaluation indexed to 2025 economic conditions was conducted using CEPCI-adjusted capital costing, Nigerian utility pricing, and contemporary manufacturing economics. The analysis estimates a fixed-capital investment of $2.65 million and a total capital investment of $3.05 million, with annual manufacturing expenditure of $2.56 million against projected wholesale revenues of $4.27 million. Discounted cash-flow analysis over a 15-year operational horizon at 12% weighted average cost of capital confirms strong commercial viability, yielding a net present value of $5.71 million, an internal rate of return of 41.7%, and a discounted payback period of approximately three years. Beyond economic performance, the study incorporates an integrated pharmaceutical risk and safety framework through detailed HAZOP assessment, Dow Fire-and-Explosion Index analysis, and Mond Index evaluation, all of which indicate acceptable industrial safety classifications without Category-A residual risks. Sensitivity analysis further identifies tablet selling price and raw Garcinia kola feedstock cost as the dominant economic drivers influencing project profitability and investment resilience. The proposed facility architecture aligns with internationally recognized pharmaceutical and herbal-manufacturing standards, including ICH Q7/Q8/Q9/Q10 guidelines, WHO TRS-1052 GMP requirements for herbal medicines, FDA continuous-manufacturing guidance, and current NAFDAC herbal-medicine registration regulations. Collectively, the work establishes a scalable, regulation-ready, and economically sustainable framework for advancing indigenous phytopharmaceutical manufacturing within Nigeria’s emerging bioeconomy and natural-products industry.","url":"https://doi.org/10.5281/zenodo.20107546","authors":["Bassey, Otuekong","Egbere, Cynthia Adaeze","Bassey, Samuel Edet"],"tags":["Aspen Plus simulation, Garcinia kola, bitter kola tablets, phytopharmaceutical manufacturing, pharmaceutical process engineering, herbal drug formulation, techno-economic analysis, process simulation, Aspen Plus validated plant design, GMP-compliant manufacturing, computational process modelling, pharmaceutical manufacturing economics, herbal medicine industrialization, digital process validation, process optimization, pharmaceutical solids processing, Nigerian pharmaceutical industry, bioactive nutraceuticals, industrial herbal medicine production, tablet manufacturing plant, pharmaceutical plant design, AI-assisted process engineering, pharmaceutical process safety, HAZOP analysis, Dow Fire and Explosion Index, fluid-bed drying, wet granulation technology, continuous pharmaceutical manufacturing, process systems engineering, industrial biotechnology, natural product pharmaceuticals, medicinal plant processing, pharmaceutical unit operations, process intensification, sustainable pharmaceutical manufacturing, African bioeconomy, indigenous medicinal plants, pharmaceutical quality engineering, ICH Q10 compliance, WHO GMP herbal medicines, NAFDAC-compliant herbal production, advanced manufacturing systems, industrial-scale tablet compression, pharmaceutical innovation, manufacturing feasibility study, economic viability assessment, phytomedicine commercialization, green pharmaceutical engineering, Aspen Plus V14, engineering economics, computational chemical engineering, pharmaceutical digital twin, pharmaceutical supply chain resilience, herbal therapeutics, pharmaceutical research and development, pharmaceutical manufacturing automation, scalable drug production, evidence-based herbal medicine, pharmaceutical technology, manufacturing process validation, process safety engineering, Nigerian industrial development, smart manufacturing, Industry 4.0 pharmaceuticals, pharmaceutical sustainability, medicinal seed processing, honey-binder tablets, rotary tablet compression, process hazard analysis, pharmaceutical investment analysis, engineering design study, pharmaceutical industrialization, African medicinal biotechnology, process flow simulation, chemical and petroleum engineering, pharmaceutical manufacturing systems, herbal healthcare innovation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20107546","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20107547","name":"Aspen Plus-Validated Design and Techno-Economic Evaluation of a Honeyed Bitter-Kola (Garcinia kola) Tablet Manufacturing Plant","source":"datacite","abstract":"This work presents a rigorously engineered Aspen Plus-validated process design and pharmaceutical techno-economic assessment for the industrial-scale production of honeyed bitter-kola (Garcinia kola Heckel) tablets in Nigeria. The study integrates advanced steady-state solids-process simulation with pharmaceutical manufacturing principles to establish the technical feasibility, economic viability, process safety, and regulatory compliance of a 50 kg h⁻¹ phytopharmaceutical production facility. A comprehensive digital process model comprising eight interconnected unit operations — hammer crushing, pin milling, tray pre-drying, V-cone blending, high-shear wet granulation, oscillating size reduction, fluid-bed drying, and rotary tablet compression — was developed and validated under strict component and mass-balance constraints. The converged Aspen Plus simulation achieved near-ideal global mass-balance closure with relative error below 1 × 10⁻⁴, demonstrating exceptional process consistency and computational robustness. The facility delivers 53.89 kg h⁻¹ of finished honey-bitter-kola tablets, corresponding to approximately 776 million 500 mg dosage units annually at an overall production yield of 90.4 wt%. A pharmaceutical-grade techno-economic evaluation indexed to 2025 economic conditions was conducted using CEPCI-adjusted capital costing, Nigerian utility pricing, and contemporary manufacturing economics. The analysis estimates a fixed-capital investment of $2.65 million and a total capital investment of $3.05 million, with annual manufacturing expenditure of $2.56 million against projected wholesale revenues of $4.27 million. Discounted cash-flow analysis over a 15-year operational horizon at 12% weighted average cost of capital confirms strong commercial viability, yielding a net present value of $5.71 million, an internal rate of return of 41.7%, and a discounted payback period of approximately three years. Beyond economic performance, the study incorporates an integrated pharmaceutical risk and safety framework through detailed HAZOP assessment, Dow Fire-and-Explosion Index analysis, and Mond Index evaluation, all of which indicate acceptable industrial safety classifications without Category-A residual risks. Sensitivity analysis further identifies tablet selling price and raw Garcinia kola feedstock cost as the dominant economic drivers influencing project profitability and investment resilience. The proposed facility architecture aligns with internationally recognized pharmaceutical and herbal-manufacturing standards, including ICH Q7/Q8/Q9/Q10 guidelines, WHO TRS-1052 GMP requirements for herbal medicines, FDA continuous-manufacturing guidance, and current NAFDAC herbal-medicine registration regulations. Collectively, the work establishes a scalable, regulation-ready, and economically sustainable framework for advancing indigenous phytopharmaceutical manufacturing within Nigeria’s emerging bioeconomy and natural-products industry.","url":"https://doi.org/10.5281/zenodo.20107547","authors":["Bassey, Otuekong","Egbere, Cynthia Adaeze","Bassey, Samuel Edet"],"tags":["Aspen Plus simulation, Garcinia kola, bitter kola tablets, phytopharmaceutical manufacturing, pharmaceutical process engineering, herbal drug formulation, techno-economic analysis, process simulation, Aspen Plus validated plant design, GMP-compliant manufacturing, computational process modelling, pharmaceutical manufacturing economics, herbal medicine industrialization, digital process validation, process optimization, pharmaceutical solids processing, Nigerian pharmaceutical industry, bioactive nutraceuticals, industrial herbal medicine production, tablet manufacturing plant, pharmaceutical plant design, AI-assisted process engineering, pharmaceutical process safety, HAZOP analysis, Dow Fire and Explosion Index, fluid-bed drying, wet granulation technology, continuous pharmaceutical manufacturing, process systems engineering, industrial biotechnology, natural product pharmaceuticals, medicinal plant processing, pharmaceutical unit operations, process intensification, sustainable pharmaceutical manufacturing, African bioeconomy, indigenous medicinal plants, pharmaceutical quality engineering, ICH Q10 compliance, WHO GMP herbal medicines, NAFDAC-compliant herbal production, advanced manufacturing systems, industrial-scale tablet compression, pharmaceutical innovation, manufacturing feasibility study, economic viability assessment, phytomedicine commercialization, green pharmaceutical engineering, Aspen Plus V14, engineering economics, computational chemical engineering, pharmaceutical digital twin, pharmaceutical supply chain resilience, herbal therapeutics, pharmaceutical research and development, pharmaceutical manufacturing automation, scalable drug production, evidence-based herbal medicine, pharmaceutical technology, manufacturing process validation, process safety engineering, Nigerian industrial development, smart manufacturing, Industry 4.0 pharmaceuticals, pharmaceutical sustainability, medicinal seed processing, honey-binder tablets, rotary tablet compression, process hazard analysis, pharmaceutical investment analysis, engineering design study, pharmaceutical industrialization, African medicinal biotechnology, process flow simulation, chemical and petroleum engineering, pharmaceutical manufacturing systems, herbal healthcare innovation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20107547","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21403891","name":"\"New Physics Scales and QCD Signatures from the UAT/UCP Causal Mass Gap Equation\"","source":"datacite","abstract":"ACTUALIZACIÓN — UPC: New Physics Scales from the Causal Mass Gap Equation This update to the Unified Causal Principle (UCP) repository presents the Causal Mass Gap equation E(n) = E_Planck × κ_crit^(1/n), which generates a complete hierarchy of energy scales from the single causal coherence constant κ_crit = 10⁻⁷⁸. MAIN RESULT (Punto 3): • n = 5 → 3.07 TeV — New physics scale accessible at the LHC and FCC • n = 6 → 1.22 PeV — New physics scale relevant to neutrino mass generation (seesaw mechanism) and ultra-high-energy cosmic rays • Both predictions use ZERO free parameters beyond κ_crit • Both are falsifiable with current or near-future experiments SUPPLEMENTARY DEVELOPMENTS (Puntos 4 y 5): • QCD coherence length: λ_coh ≈ 5.7 fm — places the causal membrane at the mesoscopic boundary between hadronic and nuclear scales • Membrane-gluon coupling: α_mem ≈ 0.35 — comparable to the strong coupling α_s at hadronic scales, suggesting the membrane interacts with gluons at the same strength as QCD itself The supplementary Python script computes all scales, the coherence length, and the membrane-gluon coupling independently of the digital twin environment. It uses only NumPy, SciPy, and CODATA 2018 constants. Author: Miguel Ángel PercudaniORCID: 0009-0007-1748-3212","url":"https://doi.org/10.5281/zenodo.21403891","authors":["Percudani, Miguel"],"tags":["Hubble Tension, Cosmology, BAO, Comoving Distance, UAT Framework, Quantum Gravity, Python Simulation.","constructive interference, phase topology, information density, RMS saturation, Ivancho limit, causal coherence, thermodynamic overdrive, quantum brake, thermal calibration margin, signal buffer saturation, Unified Applicable Time, UAT framework, Unified Causal Principle, UCP, fundamental constants, metric differentiation","Percudani Miguel"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21403891","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21603171","name":"AI-Driven Design, Simulation, and Optimization in Engineering Systems","source":"datacite","abstract":"Artificial Intelligence is revolutionizing engineering by enabling intelligent design, rapid simulation, and efficient optimization of complex systems. Traditional engineering methods often involve extensive computational effort, iterative design cycles, and significant time and resource consumption. AI-driven approaches, including Machine Learning, Deep Learning, Genetic Algorithms, Particle Swarm Optimization, and Reinforcement Learning, provide data-driven solutions that enhance decision-making, prediction accuracy, and system performance. This chapter explores the integration of AI techniques in engineering design automation, simulation acceleration, and multi-objective optimization across various engineering domains such as mechanical, civil, electrical, aerospace, and biomedical engineering. It discusses emerging concepts such as generative design, digital twins, surrogate modeling, and physics-informed neural networks, which enable engineers to develop innovative, adaptive, and sustainable solutions. The chapter further examines the advantages of AI, including reduced design time, lower development costs, improved resource utilization, and enhanced reliability, while also addressing challenges related to data quality, computational requirements, model interpretability, and ethical concerns. By combining traditional engineering principles with advanced AI methodologies, engineering systems can become more autonomous, resilient, and efficient. The chapter concludes that AI-driven technologies will play a pivotal role in shaping next-generation engineering systems and fostering innovation in smart manufacturing, infrastructure development, and intelligent industrial applications.","url":"https://doi.org/10.5281/zenodo.21603171","authors":["Bharathiraja R","Jayaprakash T","Lalitha P"],"tags":["Artificial Intelligence","Engineering Design","Simulation Modeling","Optimization Techniques","Digital Twin","Machine Learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21603171","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21603172","name":"AI-Driven Design, Simulation, and Optimization in Engineering Systems","source":"datacite","abstract":"Artificial Intelligence is revolutionizing engineering by enabling intelligent design, rapid simulation, and efficient optimization of complex systems. Traditional engineering methods often involve extensive computational effort, iterative design cycles, and significant time and resource consumption. AI-driven approaches, including Machine Learning, Deep Learning, Genetic Algorithms, Particle Swarm Optimization, and Reinforcement Learning, provide data-driven solutions that enhance decision-making, prediction accuracy, and system performance. This chapter explores the integration of AI techniques in engineering design automation, simulation acceleration, and multi-objective optimization across various engineering domains such as mechanical, civil, electrical, aerospace, and biomedical engineering. It discusses emerging concepts such as generative design, digital twins, surrogate modeling, and physics-informed neural networks, which enable engineers to develop innovative, adaptive, and sustainable solutions. The chapter further examines the advantages of AI, including reduced design time, lower development costs, improved resource utilization, and enhanced reliability, while also addressing challenges related to data quality, computational requirements, model interpretability, and ethical concerns. By combining traditional engineering principles with advanced AI methodologies, engineering systems can become more autonomous, resilient, and efficient. The chapter concludes that AI-driven technologies will play a pivotal role in shaping next-generation engineering systems and fostering innovation in smart manufacturing, infrastructure development, and intelligent industrial applications.","url":"https://doi.org/10.5281/zenodo.21603172","authors":["Bharathiraja R","Jayaprakash T","Lalitha P"],"tags":["Artificial Intelligence","Engineering Design","Simulation Modeling","Optimization Techniques","Digital Twin","Machine Learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21603172","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20098196","name":"A Systematic Review on the Role of Digital Twin Technology in Enhancing Product Life Cycle Management in the Pharmaceutical Industry","source":"datacite","abstract":"The pharmaceutical industry operates under one of the most demanding regulatory and quality frameworks in the world. From early-stage drug discovery and formulation development through clinical trials, commercial manufacturing, and eventual product withdrawal, every phase of a pharmaceutical product's life cycle demands precision, documentation, and accountability. This review paper systematically examines the role of digital twin technology — the creation of dynamic, data-driven virtual replicas of physical processes, products, or systems — in redefining how pharmaceutical organizations manage product life cycles. Drawing on published literature, regulatory guidance documents, and documented industry implementations, the review covers conceptual foundations, stage-wise applications, regulatory alignment, and implementation barriers. The findings consistently indicate that digital twins offer substantive benefits in process optimization, regulatory compliance, cold chain integrity, and post-market surveillance. It is concluded that organizations which strategically invest in digital twin infrastructure are positioned to achieve considerable improvements in efficiency, quality, and regulatory responsiveness across the entire pharmaceutical product life cycle.","url":"https://doi.org/10.5281/zenodo.20098196","authors":["Ashutosh kumar*, Ashutosh singh, Vikash verma, Amit kumar, Ashvani Kumar"],"tags":["Digital Twin Technology, Product Life Cycle Management, Pharmaceutical Industry, Regulatory Compliance, Process Simulation, Cold Chain Management, Post-Market Surveillance."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20098196","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20098197","name":"A Systematic Review on the Role of Digital Twin Technology in Enhancing Product Life Cycle Management in the Pharmaceutical Industry","source":"datacite","abstract":"The pharmaceutical industry operates under one of the most demanding regulatory and quality frameworks in the world. From early-stage drug discovery and formulation development through clinical trials, commercial manufacturing, and eventual product withdrawal, every phase of a pharmaceutical product's life cycle demands precision, documentation, and accountability. This review paper systematically examines the role of digital twin technology — the creation of dynamic, data-driven virtual replicas of physical processes, products, or systems — in redefining how pharmaceutical organizations manage product life cycles. Drawing on published literature, regulatory guidance documents, and documented industry implementations, the review covers conceptual foundations, stage-wise applications, regulatory alignment, and implementation barriers. The findings consistently indicate that digital twins offer substantive benefits in process optimization, regulatory compliance, cold chain integrity, and post-market surveillance. It is concluded that organizations which strategically invest in digital twin infrastructure are positioned to achieve considerable improvements in efficiency, quality, and regulatory responsiveness across the entire pharmaceutical product life cycle.","url":"https://doi.org/10.5281/zenodo.20098197","authors":["Ashutosh kumar*, Ashutosh singh, Vikash verma, Amit kumar, Ashvani Kumar"],"tags":["Digital Twin Technology, Product Life Cycle Management, Pharmaceutical Industry, Regulatory Compliance, Process Simulation, Cold Chain Management, Post-Market Surveillance."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20098197","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22098925","name":"Toward a Functional Theory of Digital Twin","source":"datacite","abstract":"Digital twins are often introduced through domain-specific applications such as predictive maintenance,production control, or healthcare monitoring. Beneath these heterogeneous services, however, they sharea common functional core. This paper develops a function-oriented view of digital twins centered onperception, alignment, reasoning, validation, and synchronization. It clarifies the relationship betweenbasic definitions, digital-twin features, and external services, and it discusses representative methodologicalapproaches for each function, including physics-based, data-driven, hybrid, formal, and semantic models.The paper also highlights the role of structured knowledge and artificial intelligence as transversal enablersand the conceptual challenges that arise when a digital twin must remain online, coherent, and decision-relevant over time.","url":"https://doi.org/10.5281/zenodo.22098925","authors":["MATTA, ANDREA","Jafari, Mohsen","Lugaresi, Giovanni"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22098925","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22098924","name":"Toward a Functional Theory of Digital Twin","source":"datacite","abstract":"Digital twins are often introduced through domain-specific applications such as predictive maintenance,production control, or healthcare monitoring. Beneath these heterogeneous services, however, they sharea common functional core. This paper develops a function-oriented view of digital twins centered onperception, alignment, reasoning, validation, and synchronization. It clarifies the relationship betweenbasic definitions, digital-twin features, and external services, and it discusses representative methodologicalapproaches for each function, including physics-based, data-driven, hybrid, formal, and semantic models.The paper also highlights the role of structured knowledge and artificial intelligence as transversal enablersand the conceptual challenges that arise when a digital twin must remain online, coherent, and decision-relevant over time.","url":"https://doi.org/10.5281/zenodo.22098924","authors":["MATTA, ANDREA","Jafari, Mohsen","Lugaresi, Giovanni"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22098924","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19482308","name":"Digital Twin–Based Predictive Fault Detection and Performance Optimization for Hybrid HVDC–FACTS Networks","source":"datacite","abstract":"The increasing penetration of high-voltage direct current (HVDC) transmission and flexible AC transmission system (FACTS) technologies has significantly enhanced the controllability and efficiency of modern power grids, while simultaneously increasing system complexity and operational vulnerability. This research proposes a Digital Twin–based predictive fault detection and performance optimization framework for hybrid HVDC–FACTS networks, aimed at enabling real-time monitoring, early fault diagnosis, and intelligent operational decision-making. The proposed digital twin integrates high-fidelity physical models of HVDC converters and FACTS devices with real-time measurement data to achieve continuous synchronization between the physical system and its virtual counterpart. Online parameter estimation techniques are employed to track dynamic variations in system components, enabling early detection of incipient faults and performance degradation before critical failures occur. Artificial intelligence–assisted analytics, including data-driven anomaly detection and predictive maintenance models, are incorporated to enhance fault classification accuracy and remaining useful life (RUL) estimation. The framework further supports adaptive control and performance optimization by dynamically tuning operating parameters to maintain system stability, improve power quality, and minimize energy losses under varying operating conditions. Results indicate that the proposed digital twin framework can achieve high-fidelity real-time system representation with synchronization errors below predefined operational thresholds, enabling fault detection significantly earlier than conventional protection and monitoring schemes. Simulation-based validation is anticipated to demonstrate improved fault prediction accuracy, reduced unplanned outages, enhanced converter reliability, and measurable improvements in system efficiency and voltage stability. Overall, the study is expected to confirm that digital twin–enabled predictive intelligence offers a scalable and industry-ready solution for enhancing the resilience, reliability, and operational efficiency of future hybrid HVDC–FACTS power networks.","url":"https://doi.org/10.5281/zenodo.19482308","authors":["Ekeng Lawrence Effiong","Obasi-Sam Ojah Ojobe","Ibanibo Tamunotonye Sotonye"],"tags":["Digital Twin, HVDC–FACTS, Fault, Stabilized, Layer"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19482308","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19482309","name":"Digital Twin–Based Predictive Fault Detection and Performance Optimization for Hybrid HVDC–FACTS Networks","source":"datacite","abstract":"The increasing penetration of high-voltage direct current (HVDC) transmission and flexible AC transmission system (FACTS) technologies has significantly enhanced the controllability and efficiency of modern power grids, while simultaneously increasing system complexity and operational vulnerability. This research proposes a Digital Twin–based predictive fault detection and performance optimization framework for hybrid HVDC–FACTS networks, aimed at enabling real-time monitoring, early fault diagnosis, and intelligent operational decision-making. The proposed digital twin integrates high-fidelity physical models of HVDC converters and FACTS devices with real-time measurement data to achieve continuous synchronization between the physical system and its virtual counterpart. Online parameter estimation techniques are employed to track dynamic variations in system components, enabling early detection of incipient faults and performance degradation before critical failures occur. Artificial intelligence–assisted analytics, including data-driven anomaly detection and predictive maintenance models, are incorporated to enhance fault classification accuracy and remaining useful life (RUL) estimation. The framework further supports adaptive control and performance optimization by dynamically tuning operating parameters to maintain system stability, improve power quality, and minimize energy losses under varying operating conditions. Results indicate that the proposed digital twin framework can achieve high-fidelity real-time system representation with synchronization errors below predefined operational thresholds, enabling fault detection significantly earlier than conventional protection and monitoring schemes. Simulation-based validation is anticipated to demonstrate improved fault prediction accuracy, reduced unplanned outages, enhanced converter reliability, and measurable improvements in system efficiency and voltage stability. Overall, the study is expected to confirm that digital twin–enabled predictive intelligence offers a scalable and industry-ready solution for enhancing the resilience, reliability, and operational efficiency of future hybrid HVDC–FACTS power networks.","url":"https://doi.org/10.5281/zenodo.19482309","authors":["Ekeng Lawrence Effiong","Obasi-Sam Ojah Ojobe","Ibanibo Tamunotonye Sotonye"],"tags":["Digital Twin, HVDC–FACTS, Fault, Stabilized, Layer"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19482309","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19865633","name":"Introducing the War Map Framework. A Causal-Operational Formalism for Disease Reversal, Sub-Regressor Architecture, and Mechanistic Cure Verification","source":"datacite","abstract":"Abstract This manuscript introduces a formal language for representing chronic disease as a multiscale causal-operational graph. While chronic diseases are usually diagnosed through downstream clinical criteria and managed through therapies that control markers of disease expression, such control does not by itself specify what would count as mechanistic reversal. The War Map Framework proposes a formal architecture for disease-reversal science. Key Framework Components 1. The War Map: This is defined as a minimal, ancestry-closed, typed, evidence-weighted directed multigraph. It contains the target pathology, its sub-regressors, measurement operators, intervention policies, effect weights, credibility scores, context domains, and update rules. 2. Sub-regressors: The architecture decomposes target pathologies into biological state variables called sub-regressors, which are target-relative, observable, modifiable, non-constitutive, and causally material. 3. Mechanistic Cure Verification: The framework defines a cure certificate over the target state and its essential upstream sub-regressors, rather than relying on downstream biomarkers alone.Objective and Scope The aim of this framework is to turn \"root cause medicine\" into a computable ontology—a grammar for asking which biological state variables must be measured, modified, and verified before one can claim disease reversal rather than palliative management. This is a conceptual and methodological preprint. It is not a clinical guideline, does not establish empirical validity by itself, and should be interpreted as a proposed framework for research design, grant evaluation, and mechanistic hypothesis generation.Keywords War Map; sub-regressor; disease reversal; mechanistic cure; structural causal model; dynamic causal system; network medicine; disease maps; digital twin; systems biology; causal inference.","url":"https://doi.org/10.5281/zenodo.19865633","authors":["Varvanets, Denis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19865633","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20206074","name":"TLMM v4.7: A Feasibility-Oriented Adaptive Computational Framework for Resilience-Aware Inference, Streaming Adaptation, and Exploratory Digital Twin Co-Evolution","source":"datacite","abstract":"This repository contains the manuscript, figures, and demonstration code for TLMM v4.7 (Two-Layer Modulation Model v4.7), an exploratory and simulation-based adaptive computational framework for resilience-aware inference under nonstationary conditions. TLMM v4.7 integrates: • adaptive landscape dynamics• resilience-aware risk mapping• uncertainty-aware inference• sensitivity landscape analysis• LOSO-CV baseline comparison• streaming adaptive inference• exploratory public EEG proof-of-contact analysis• structured limitation mapping• conceptual digital twin co-evolution architecture The framework is intended as a feasibility-oriented computational methodology and does not constitute a clinical system. Key additions relative to earlier versions include:• parameter sensitivity landscapes across forgetting, diffusion, and adaptation regimes• robustness-oriented LOSO-CV benchmarking against AR and HMM baselines• streaming adaptive inference under nonstationary dynamics• exploratory qualitative comparison with public EEG datasets• structured roadmap for limitation-aware feasibility progression• conceptual adaptive digital twin co-evolution framework All results are:• simulation-based• exploratory• illustrative• feasibility-oriented No clinical inference, diagnosis, prognosis, biomarker claim, therapeutic claim, medical-device claim, or regulatory claim is intended or implied. Repository contents:• manuscript PDF• figure set (Fig.1–Fig.10)• demonstration Python script• README documentation Author:Koji OkinoIndependent Researcher / SD Lab2026","url":"https://doi.org/10.5281/zenodo.20206074","authors":["Okino, Koji"],"tags":["TLMM","adaptive computational framework","resilience-aware inference","digital twin","streaming inference","adaptive systems","nonstationary dynamics","sensitivity analysis"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20206074","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20206075","name":"TLMM v4.7: A Feasibility-Oriented Adaptive Computational Framework for Resilience-Aware Inference, Streaming Adaptation, and Exploratory Digital Twin Co-Evolution","source":"datacite","abstract":"This repository contains the manuscript, figures, and demonstration code for TLMM v4.7 (Two-Layer Modulation Model v4.7), an exploratory and simulation-based adaptive computational framework for resilience-aware inference under nonstationary conditions. TLMM v4.7 integrates: • adaptive landscape dynamics• resilience-aware risk mapping• uncertainty-aware inference• sensitivity landscape analysis• LOSO-CV baseline comparison• streaming adaptive inference• exploratory public EEG proof-of-contact analysis• structured limitation mapping• conceptual digital twin co-evolution architecture The framework is intended as a feasibility-oriented computational methodology and does not constitute a clinical system. Key additions relative to earlier versions include:• parameter sensitivity landscapes across forgetting, diffusion, and adaptation regimes• robustness-oriented LOSO-CV benchmarking against AR and HMM baselines• streaming adaptive inference under nonstationary dynamics• exploratory qualitative comparison with public EEG datasets• structured roadmap for limitation-aware feasibility progression• conceptual adaptive digital twin co-evolution framework All results are:• simulation-based• exploratory• illustrative• feasibility-oriented No clinical inference, diagnosis, prognosis, biomarker claim, therapeutic claim, medical-device claim, or regulatory claim is intended or implied. Repository contents:• manuscript PDF• figure set (Fig.1–Fig.10)• demonstration Python script• README documentation Author:Koji OkinoIndependent Researcher / SD Lab2026","url":"https://doi.org/10.5281/zenodo.20206075","authors":["Okino, Koji"],"tags":["TLMM","adaptive computational framework","resilience-aware inference","digital twin","streaming inference","adaptive systems","nonstationary dynamics","sensitivity analysis"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20206075","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20777933","name":"Data Infrastructure Factsheet - EMODnet Chemistry","source":"datacite","abstract":"The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet Chemistry is one of the seven thematic lots of the European Marine Observation and Data network. It comprises members of SeaDataNet consortium together with organisations from marine science, environmental monitoring agencies, regional sea conventions, chemical expert and others. The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet is the in situ component of the European Digital Twin Ocean and provides its full service offer on the EDITO data lake on the cloud, together with Copernicus Marine earth observation data.","url":"https://doi.org/10.5281/zenodo.20777933","authors":["Larkin, Kate"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20777933","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20777934","name":"Data Infrastructure Factsheet - EMODnet Chemistry","source":"datacite","abstract":"The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet Chemistry is one of the seven thematic lots of the European Marine Observation and Data network. It comprises members of SeaDataNet consortium together with organisations from marine science, environmental monitoring agencies, regional sea conventions, chemical expert and others. The European Marine Observation and Data Network (EMODnet) is the European Commission (EC) in situ marine data service of the EC Directorate-General Maritime Affairs and Fisheries (EC DG MARE) and funded by the European Maritime Fisheries and Aquaculture Fund. EMODnet is the in situ component of the European Digital Twin Ocean and provides its full service offer on the EDITO data lake on the cloud, together with Copernicus Marine earth observation data.","url":"https://doi.org/10.5281/zenodo.20777934","authors":["Larkin, Kate"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20777934","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21732388","name":"TROJANS AeroFleetX: Design and Implementation of an Integrated Mobile Research Platform for Aviation Maintenance Intelligence","source":"datacite","abstract":"Aircraft maintenance digitalization is commonly addressed through separate technologies for condition monitoring, predictive maintenance, augmented or virtual reality, work-order management, scheduled checks, and technical training. This fragmentation can make it difficult to demonstrate how information moves from fleet-level awareness to inspection, maintenance action, and traceable records. This paper presents TROJANS AeroFleetX, an integrated Android research prototype designed to connect these activities within a single mobile workflow. The artifact was developed using a design-science approach and implements Fleet Intelligence, explainable threshold-based maintenance-risk simulation, camera-assisted XR inspection, Maintenance Mission Control, A/B/C/D maintenance-program templates, digital work orders, local records, and a guided Training Academy. The Android application uses a hardened local WebView architecture and synthetic demonstration data. The predictive module is intentionally described as rule-based risk simulation rather than a trained artificial-intelligence model. Functional validation showed successful rendering and navigation of the principal workflows, zero JavaScript runtime errors during the defined browser test, successful work-order and scheduling transitions, and verified release-package structure and signatures. No real-aircraft data, human-participant study, certification assessment, or release-to-service decision was included. The contribution is therefore an implemented integration architecture and reproducible prototype that can support future usability studies, aviation-maintenance education research, and controlled evaluation of connected digital maintenance workflows.","url":"https://doi.org/10.5281/zenodo.21732388","authors":["Siddique, Tahiatul Islam"],"tags":["aircraft maintenance","aviation maintenance","design science","digital twin","augmented reality","predictive maintenance","work orders","maintenance training"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21732388","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21732389","name":"TROJANS AeroFleetX: Design and Implementation of an Integrated Mobile Research Platform for Aviation Maintenance Intelligence","source":"datacite","abstract":"Aircraft maintenance digitalization is commonly addressed through separate technologies for condition monitoring, predictive maintenance, augmented or virtual reality, work-order management, scheduled checks, and technical training. This fragmentation can make it difficult to demonstrate how information moves from fleet-level awareness to inspection, maintenance action, and traceable records. This paper presents TROJANS AeroFleetX, an integrated Android research prototype designed to connect these activities within a single mobile workflow. The artifact was developed using a design-science approach and implements Fleet Intelligence, explainable threshold-based maintenance-risk simulation, camera-assisted XR inspection, Maintenance Mission Control, A/B/C/D maintenance-program templates, digital work orders, local records, and a guided Training Academy. The Android application uses a hardened local WebView architecture and synthetic demonstration data. The predictive module is intentionally described as rule-based risk simulation rather than a trained artificial-intelligence model. Functional validation showed successful rendering and navigation of the principal workflows, zero JavaScript runtime errors during the defined browser test, successful work-order and scheduling transitions, and verified release-package structure and signatures. No real-aircraft data, human-participant study, certification assessment, or release-to-service decision was included. The contribution is therefore an implemented integration architecture and reproducible prototype that can support future usability studies, aviation-maintenance education research, and controlled evaluation of connected digital maintenance workflows.","url":"https://doi.org/10.5281/zenodo.21732389","authors":["Siddique, Tahiatul Islam"],"tags":["aircraft maintenance","aviation maintenance","design science","digital twin","augmented reality","predictive maintenance","work orders","maintenance training"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21732389","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19865632","name":"Introducing the War Map Framework. A Causal-Operational Formalism for Disease Reversal, Sub-Regressor Architecture, and Mechanistic Cure Verification","source":"datacite","abstract":"Abstract This manuscript introduces a formal language for representing chronic disease as a multiscale causal-operational graph. While chronic diseases are usually diagnosed through downstream clinical criteria and managed through therapies that control markers of disease expression, such control does not by itself specify what would count as mechanistic reversal. The War Map Framework proposes a formal architecture for disease-reversal science. Key Framework Components 1. The War Map: This is defined as a minimal, ancestry-closed, typed, evidence-weighted directed multigraph. It contains the target pathology, its sub-regressors, measurement operators, intervention policies, effect weights, credibility scores, context domains, and update rules. 2. Sub-regressors: The architecture decomposes target pathologies into biological state variables called sub-regressors, which are target-relative, observable, modifiable, non-constitutive, and causally material. 3. Mechanistic Cure Verification: The framework defines a cure certificate over the target state and its essential upstream sub-regressors, rather than relying on downstream biomarkers alone.Objective and Scope The aim of this framework is to turn \"root cause medicine\" into a computable ontology—a grammar for asking which biological state variables must be measured, modified, and verified before one can claim disease reversal rather than palliative management. This is a conceptual and methodological preprint. It is not a clinical guideline, does not establish empirical validity by itself, and should be interpreted as a proposed framework for research design, grant evaluation, and mechanistic hypothesis generation.Keywords War Map; sub-regressor; disease reversal; mechanistic cure; structural causal model; dynamic causal system; network medicine; disease maps; digital twin; systems biology; causal inference.","url":"https://doi.org/10.5281/zenodo.19865632","authors":["Varvanets, Denis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19865632","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21751947","name":"Introducing the War Map Framework. A Causal-Operational Formalism for Disease Reversal, Sub-Regressor Architecture, and Mechanistic Cure Verification","source":"datacite","abstract":"Abstract This manuscript introduces a formal language for representing chronic disease as a multiscale causal-operational graph. While chronic diseases are usually diagnosed through downstream clinical criteria and managed through therapies that control markers of disease expression, such control does not by itself specify what would count as mechanistic reversal. The War Map Framework proposes a formal architecture for disease-reversal science. Key Framework Components 1. The War Map: This is defined as a minimal, ancestry-closed, typed, evidence-weighted directed multigraph. It contains the target pathology, its sub-regressors, measurement operators, intervention policies, effect weights, credibility scores, context domains, and update rules. 2. Sub-regressors: The architecture decomposes target pathologies into biological state variables called sub-regressors, which are target-relative, observable, modifiable, non-constitutive, and causally material. 3. Mechanistic Cure Verification: The framework defines a cure certificate over the target state and its essential upstream sub-regressors, rather than relying on downstream biomarkers alone.Objective and Scope The aim of this framework is to turn \"root cause medicine\" into a computable ontology—a grammar for asking which biological state variables must be measured, modified, and verified before one can claim disease reversal rather than palliative management. This is a conceptual and methodological preprint. It is not a clinical guideline, does not establish empirical validity by itself, and should be interpreted as a proposed framework for research design, grant evaluation, and mechanistic hypothesis generation.Keywords War Map; sub-regressor; disease reversal; mechanistic cure; structural causal model; dynamic causal system; network medicine; disease maps; digital twin; systems biology; causal inference.","url":"https://doi.org/10.5281/zenodo.21751947","authors":["Varvanets, Denis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21751947","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20694267","name":"Density-aware therapy scheduling for stochastic Gompertz tumor growth: chance-constrained and Pareto-optimal methods on a Fokker–Planck digital twin","source":"datacite","abstract":"Stochastic tumor dynamics introduce uncertainty that standard mean-corridor scheduling methods cannot address directly. This work develops two density-aware optimization methods for therapy scheduling on a Fokker–Planck digital twin of the stochastic Gompertz tumor model. The first (Method A) replaces the mean-corridor constraint with a chance corridor, bounding the probability that tumor size exceeds a reference trajectory at each decision epoch. The second (Method B) trades expected terminal burden against the path-integrated variance of tumor size, yielding a family of schedules indexed by risk preference. A structural feature unifies both methods: the transformed Fokker–Planck equation is spatially homogeneous, so the terminal density is a one-parameter shifted Gaussian whose variance is schedule-invariant. Density-awareness therefore cannot enter through any terminal scalar statistic — neither a risk-sensitive reward (formalised as a bang-bang invariance theorem) nor a terminal mean–variance objective — and must instead be expressed as a constraint or a path functional. Across 30 CV-stratified synthetic patients, chance-corridor feasibility is a clean monotonic function of the terminal coefficient of variation (CV) (r = +0.951; threshold CV ≈ 0.09), and both methods are robust to ±10% parameter uncertainty. A two-zone decision framework indexed by CV summarises the practical recommendation.","url":"https://doi.org/10.5281/zenodo.20694267","authors":["Drakos, Stefanos"],"tags":["stochastic Gompertz model","chance-constrained optimization","Fokker-Planck equation","Pareto optimization","finite element method","mathematical oncology","optimal control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20694267","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20694268","name":"Density-aware therapy scheduling for stochastic Gompertz tumor growth: chance-constrained and Pareto-optimal methods on a Fokker–Planck digital twin","source":"datacite","abstract":"Stochastic tumor dynamics introduce uncertainty that standard mean-corridor scheduling methods cannot address directly. This work develops two density-aware optimization methods for therapy scheduling on a Fokker–Planck digital twin of the stochastic Gompertz tumor model. The first (Method A) replaces the mean-corridor constraint with a chance corridor, bounding the probability that tumor size exceeds a reference trajectory at each decision epoch. The second (Method B) trades expected terminal burden against the path-integrated variance of tumor size, yielding a family of schedules indexed by risk preference. A structural feature unifies both methods: the transformed Fokker–Planck equation is spatially homogeneous, so the terminal density is a one-parameter shifted Gaussian whose variance is schedule-invariant. Density-awareness therefore cannot enter through any terminal scalar statistic — neither a risk-sensitive reward (formalised as a bang-bang invariance theorem) nor a terminal mean–variance objective — and must instead be expressed as a constraint or a path functional. Across 30 CV-stratified synthetic patients, chance-corridor feasibility is a clean monotonic function of the terminal coefficient of variation (CV) (r = +0.951; threshold CV ≈ 0.09), and both methods are robust to ±10% parameter uncertainty. A two-zone decision framework indexed by CV summarises the practical recommendation.","url":"https://doi.org/10.5281/zenodo.20694268","authors":["Drakos, Stefanos"],"tags":["stochastic Gompertz model","chance-constrained optimization","Fokker-Planck equation","Pareto optimization","finite element method","mathematical oncology","optimal control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20694268","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21134290","name":"Topological Invariance of Signaling Obstructions in the INSR-PI3K-Akt Pathway","source":"datacite","abstract":"Title: Topological Invariance of Signaling Obstructions in the INSR-PI3K-Akt Pathway: A Quantum Circuit Simulation Description: This research investigates the insulin signaling pathway (INSR-PI3K-Akt) by applying Sheaf Theory within a quantum circuit simulation framework. By modeling the pathway as a 2-simplicial complex derived from real-world KEGG (hsa04910) biological interaction data, we analyze signal transmission as a section of a sheaf, examining how local biochemical interactions restrict the emergence of a global coherent state. The study utilizes parametric quantum gates ($CR_y$, $CCRy$) and classical optimization techniques (COBYLA, Nelder-Mead) to test the system's susceptibility to coherent state restoration under noise perturbation. Our findings reveal that the system exhibits persistent non-trivial cohomological obstructions, with the coherence norm remaining trapped at the theoretical entropy limit ($\\approx 12.5\\%$). These results suggest that the incoherent state in the INSR pathway is a topological invariant, providing a quantitative basis for interpreting Type 2 Diabetes as a topological phase characterized by stable, high-entropy signaling states rather than simple localized biochemical failures. This dataset includes the complete Python source code (Google Cirq) used for the simulations, the KEGG-derived connectivity matrices, the optimized parameters, and the formal research paper. Descrizione in Italiano Titolo: Invarianza Topologica delle Ostruzioni di Segnalazione nel Pathway INSR-PI3K-Akt: Una Simulazione a Circuiti Quantistici Descrizione: Questa ricerca indaga il pathway di segnalazione dell'insulina (INSR-PI3K-Akt) applicando la Teoria dei Fasci (Sheaf Theory) all'interno di un framework di simulazione a circuiti quantistici. Modellando il pathway come un 2-complesso simpliciale basato su dati reali di interazione biologica estratti dal database KEGG (hsa04910), analizziamo la trasmissione del segnale come una sezione di un fascio, esaminando come le interazioni biochimiche locali limitino l'emergenza di uno stato coerente globale. Lo studio utilizza porte quantistiche parametriche ($CR_y$, $CCRy$) e tecniche di ottimizzazione classica (COBYLA, Nelder-Mead) per testare la suscettibilità del sistema al ripristino dello stato coerente sotto perturbazione di rumore. I nostri risultati rivelano che il sistema esibisce persistenti ostruzioni coomologiche non banali, con la norma di coerenza che rimane intrappolata al limite teorico dell'entropia ($\\approx 12,5\\%$). Questi risultati suggeriscono che lo stato incoerente nel pathway INSR sia un invariante topologico, fornendo una base quantitativa per interpretare il Diabete di Tipo 2 come una fase topologica caratterizzata da stati di segnalazione stabili ad alta entropia, piuttosto che come un semplice guasto biochimico locale. Questo dataset include il codice sorgente Python completo (Google Cirq) utilizzato per le simulazioni, le matrici di connettività derivate da KEGG, i parametri ottimizzati e il paper di ricerca formale. Sezione 2: Methodology (Aggiornata) \"La ricerca si è sviluppata attraverso una serie incrementale di otto micro-esperimenti computazionali. Dopo una fase iniziale di calibrazione del fascio (File 1-4) su topologie ideali, il modello è stato sottoposto a stress-test di resilienza termica (File 5-7). Nella fase finale (File 8), la topologia del complesso simpliciale è stata derivata direttamente dai dati biologici reali del database KEGG (hsa04910), mappando le interazioni proteiche del pathway INSR-PI3K-Akt in una matrice di adiacenza deterministica.\" Sezione 3: Experimental Results (Aggiornata) \"L'integrazione dei dati biochimici reali ha confermato la validità del framework. La simulazione, condotta su una topologia a catena (reale) anziché su una topologia a triangolo (astratta), ha prodotto una norma di coerenza globale di $\\approx 12.40\\%$. Tale valore, consistente con le precedenti osservazioni, fornisce l'evidenza empirica c","url":"https://doi.org/10.5281/zenodo.21134290","authors":["Usai, Luigi"],"tags":["Teoria dei Fasci","Sheaf Theory","Circuiti Quantistici","Quantum Circuits","Pathway dell'Insulina","Topologia computazionale","Diabete di tipo 2","Ostruzioni Coomologiche"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21134290","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.13759380","name":"D1 Requirements Baseline (RB)","source":"datacite","abstract":"This document corresponds to the Requirements Baseline (RB) deliverable of the CLIM4cities project, which aims to pioneer the development of Machine Learning (ML) and Artificial Intelligence (AI) models designed to downscale air and land surface temperature predictions in urban areas by a factor of at least ten. This initiative serves as a preliminary step towards the implementation of cost-effective Integrated Urban Climate and Weather components into local Digital Twin Systems. The RB analysis is the result of the WP1000 - Problem Formulation activities, and it includes the conclusions derived from the WP1100- State-of-the-Art and Gap Analysis, WP1200 - Scientific, Technical and User Requirements, and WP1300 - EO Use Case Definition and ECV Description [Land Surface Temperature (LST) and Air Temperature 2m above ground (T2m)]. The State-of-the-Art and Gap Analysis shows the relevance of urban adaptation to climate change, as temperature extremes and urbanisation trends support the need to measure and predict urban climate parameters. In particular, the Urban Heat Island (UHI) effect is a physically well-known phenomenon, stemming from the warming of, first, the urban surfaces and, secondly, the air close to the ground through radiation from the urban stock. Research on this topic has matured within the last couple of decades, driven in part by theinterest from the scientific community, but also due to the increased awareness of decision-makers and society at large regarding climate change and urbanisation trends and the multiple negative health effects associated with living in excessively warm conditions. Furthermore, there is huge potential in combining Earth Observation (EO) imagery with local crowdsourced citizen-owned weather station data, showing that there is a sufficiently large number of observations available to derive reliable quality assessment metrics, and consistent results modelling. The State-of-the-Art Gap Analysis conclusions, however, point out that consistently monitoring the urban heat exposure and the UHI effect is still, in this present-day, a complex spatio-temporal challenge. While the usage of deterministic physical models allows such inference, modelling urban climate and UHI at relevant (sub-kilometric) spatial scales requires large computational power and huge amounts of input data, which hinders the ability of the local public sector in adopting such tools for operational forecast and/or monitoring purposes. On the other hand, ML and AI methods are becoming more attractive alternatives for local-scale post-processing of weather forecasts and climate projections, considering that they show comparableaccuracy metrics, but significantly lower computational demand. Hence, the combination of crowdsourced data together with EO and such methods offers a promising road ahead for the uptake of EO in downscaling numerical weather predictions and climate projections, overcoming current limitations to achieve mature technical results. Such predictions can then be used to build operational urban climate services to help decision makers in shortterm actions and long-term planning, and inform the citizens regarding their relativeexposure to temperature-dependent risks. Nonetheless, while all these data sources have relevant information, their integration within a user-driven tool is still seemingly difficult, especially in terms of consolidating which requirements and features are most needed. Hence, in the scope of the Scientific, Technical and User Requirements, CLIM4cities sought to engage with citizens, city planners and local stakeholders to evaluate their needs and priorities. On the other hand, there are scientific and technical aspects that need to be considered in order to develop a solution that complies with expected accuracy and reliability standards, as well as minimises the maintenance effort and cost of keeping the resulting air and land surface temperature models operational. As a result, this ","url":"https://doi.org/10.5281/zenodo.13759380","authors":["Sørup, Hjalte Jomo Danielsen","Castro, Maria","Cunha, Rita","Girao, Ines","Oliveira, Ana","Khudinyan, Manvel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13759380","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.13759381","name":"D1 Requirements Baseline (RB)","source":"datacite","abstract":"This document corresponds to the Requirements Baseline (RB) deliverable of the CLIM4cities project, which aims to pioneer the development of Machine Learning (ML) and Artificial Intelligence (AI) models designed to downscale air and land surface temperature predictions in urban areas by a factor of at least ten. This initiative serves as a preliminary step towards the implementation of cost-effective Integrated Urban Climate and Weather components into local Digital Twin Systems. The RB analysis is the result of the WP1000 - Problem Formulation activities, and it includes the conclusions derived from the WP1100- State-of-the-Art and Gap Analysis, WP1200 - Scientific, Technical and User Requirements, and WP1300 - EO Use Case Definition and ECV Description [Land Surface Temperature (LST) and Air Temperature 2m above ground (T2m)]. The State-of-the-Art and Gap Analysis shows the relevance of urban adaptation to climate change, as temperature extremes and urbanisation trends support the need to measure and predict urban climate parameters. In particular, the Urban Heat Island (UHI) effect is a physically well-known phenomenon, stemming from the warming of, first, the urban surfaces and, secondly, the air close to the ground through radiation from the urban stock. Research on this topic has matured within the last couple of decades, driven in part by theinterest from the scientific community, but also due to the increased awareness of decision-makers and society at large regarding climate change and urbanisation trends and the multiple negative health effects associated with living in excessively warm conditions. Furthermore, there is huge potential in combining Earth Observation (EO) imagery with local crowdsourced citizen-owned weather station data, showing that there is a sufficiently large number of observations available to derive reliable quality assessment metrics, and consistent results modelling. The State-of-the-Art Gap Analysis conclusions, however, point out that consistently monitoring the urban heat exposure and the UHI effect is still, in this present-day, a complex spatio-temporal challenge. While the usage of deterministic physical models allows such inference, modelling urban climate and UHI at relevant (sub-kilometric) spatial scales requires large computational power and huge amounts of input data, which hinders the ability of the local public sector in adopting such tools for operational forecast and/or monitoring purposes. On the other hand, ML and AI methods are becoming more attractive alternatives for local-scale post-processing of weather forecasts and climate projections, considering that they show comparableaccuracy metrics, but significantly lower computational demand. Hence, the combination of crowdsourced data together with EO and such methods offers a promising road ahead for the uptake of EO in downscaling numerical weather predictions and climate projections, overcoming current limitations to achieve mature technical results. Such predictions can then be used to build operational urban climate services to help decision makers in shortterm actions and long-term planning, and inform the citizens regarding their relativeexposure to temperature-dependent risks. Nonetheless, while all these data sources have relevant information, their integration within a user-driven tool is still seemingly difficult, especially in terms of consolidating which requirements and features are most needed. Hence, in the scope of the Scientific, Technical and User Requirements, CLIM4cities sought to engage with citizens, city planners and local stakeholders to evaluate their needs and priorities. On the other hand, there are scientific and technical aspects that need to be considered in order to develop a solution that complies with expected accuracy and reliability standards, as well as minimises the maintenance effort and cost of keeping the resulting air and land surface temperature models operational. As a result, this ","url":"https://doi.org/10.5281/zenodo.13759381","authors":["Sørup, Hjalte Jomo Danielsen","Castro, Maria","Cunha, Rita","Girao, Ines","Oliveira, Ana","Khudinyan, Manvel"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13759381","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.13946461","name":"AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation – CLIM4cities project","source":"datacite","abstract":"This presentation was given on 17 October 2024 by Ana Oliveira. Please join us for this Climate Coffee on AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation – CLIM4cities project The CLIM4cities project which aims to pioneer the development of Machine Learning (ML) and Artificial Intelligence (AI) models designed to downscale air and land surface temperature predictions in urban areas by a factor of at least ten. This initiative serves as a preliminary step towards the implementation of cost-effective Integrated Urban Climate and Weather components into local Digital Twin Systems. Lisbon has a track record of being regularly exposed to severe heatwaves (HW), and climate change prospects point to its aggravation in coming decades. In addition, its impacts may be emphasised by the growing trend of urban sprawl and an ageing population. Accordingly, there is a need to pinpoint the locations where people are relatively more exposed to the excess heat, which can lead to dehydration, cerebrovascular accidents or thrombogenesis. In this study, air temperature measurements are retrieved from a citizen-owned network of stations and co-located with Earth Observation (EO) data to downscale the regional air temperature forecasts from the original 2.5km up to 250m. While the forecasts resolve the regional physical processes, the Machine Learning (ML) output can adjust its bias to the specificities of the urban location, by accurately predicting the local contribution of the urban heat island effect, as well as the green infrastructure cooling effect, at the neighbourhood scale. Furthermore, within the ESA-funded CLIM4cities project we will now aim to scale up the solution to Danish cities, by replicating the concepts not only for air temperature forecasts but also Land Surface Temperature (LST) measurements, to comply with local user requirements. Our speaker Ana Oliveira is an earth observation (EO) expert specializing in Machine Learning (ML)-based applications for climate change hazard mapping and impact assessment at CoLAB +ATLANTIC. She has a PhD degree from the MIT Portugal Program where she studied the interaction between air temperatures and the city, including the influence of regional wind flows, considering several coastal cities from southern Europe. In her PhD, she developed empirical models to estimate the atmospheric canopy layer and the land surface urban heat island (UHI) intensities in two Mediterranean cities, by using open science methods, EO and climate data. She is the first author of 9 peer-reviewed scientific publications. At +ATLANTIC she is the technical lead in several activities, including European Space Agency (ESA) projects (CareHEAT, focusing on Marine Heat Waves and CLIM4cities, focusing on ML and AI models to downscale air and land surface temperature predictions in cities), and Copernicus Climate Change Service (C3S) projects (Evaluation and Quality Control Function, focusing on EO/land and in-situ/atmospheric data products).","url":"https://doi.org/10.5281/zenodo.13946461","authors":["Oliveira, Ana"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13946461","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.13946462","name":"AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation – CLIM4cities project","source":"datacite","abstract":"This presentation was given on 17 October 2024 by Ana Oliveira. Please join us for this Climate Coffee on AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation – CLIM4cities project The CLIM4cities project which aims to pioneer the development of Machine Learning (ML) and Artificial Intelligence (AI) models designed to downscale air and land surface temperature predictions in urban areas by a factor of at least ten. This initiative serves as a preliminary step towards the implementation of cost-effective Integrated Urban Climate and Weather components into local Digital Twin Systems. Lisbon has a track record of being regularly exposed to severe heatwaves (HW), and climate change prospects point to its aggravation in coming decades. In addition, its impacts may be emphasised by the growing trend of urban sprawl and an ageing population. Accordingly, there is a need to pinpoint the locations where people are relatively more exposed to the excess heat, which can lead to dehydration, cerebrovascular accidents or thrombogenesis. In this study, air temperature measurements are retrieved from a citizen-owned network of stations and co-located with Earth Observation (EO) data to downscale the regional air temperature forecasts from the original 2.5km up to 250m. While the forecasts resolve the regional physical processes, the Machine Learning (ML) output can adjust its bias to the specificities of the urban location, by accurately predicting the local contribution of the urban heat island effect, as well as the green infrastructure cooling effect, at the neighbourhood scale. Furthermore, within the ESA-funded CLIM4cities project we will now aim to scale up the solution to Danish cities, by replicating the concepts not only for air temperature forecasts but also Land Surface Temperature (LST) measurements, to comply with local user requirements. Our speaker Ana Oliveira is an earth observation (EO) expert specializing in Machine Learning (ML)-based applications for climate change hazard mapping and impact assessment at CoLAB +ATLANTIC. She has a PhD degree from the MIT Portugal Program where she studied the interaction between air temperatures and the city, including the influence of regional wind flows, considering several coastal cities from southern Europe. In her PhD, she developed empirical models to estimate the atmospheric canopy layer and the land surface urban heat island (UHI) intensities in two Mediterranean cities, by using open science methods, EO and climate data. She is the first author of 9 peer-reviewed scientific publications. At +ATLANTIC she is the technical lead in several activities, including European Space Agency (ESA) projects (CareHEAT, focusing on Marine Heat Waves and CLIM4cities, focusing on ML and AI models to downscale air and land surface temperature predictions in cities), and Copernicus Climate Change Service (C3S) projects (Evaluation and Quality Control Function, focusing on EO/land and in-situ/atmospheric data products).","url":"https://doi.org/10.5281/zenodo.13946462","authors":["Oliveira, Ana"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13946462","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21550120","name":"# Artificial Intelligence in Metallurgical Engineering: Comprehensive Applications in Microstructure Analysis, Property Prediction, and Process Optimization","source":"datacite","abstract":"## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**\"AI-Powered Metallurgical Characterization and Optimization: From EBSD Analysis and SEM Image Recognition to Mechanical Property Prediction and Heat Treatment Optimization\"** ### Alternative Title 2 (Microstructure Focus)**\"Revolutionizing Microstructural Analysis with Artificial Intelligence: EBSD, SEM, Texture Quantification, Grain Size Estimation, and Phase Fraction Prediction\"** ### Alternative Title 3 (Property Focus)**\"Intelligent Property Prediction in Metallurgy: AI-Driven Estimation of Mechanical Properties, Fatigue Life, Creep Behavior, and Fracture Toughness\"** ### Alternative Title 4 (Process Focus)**\"Data-Driven Heat Treatment Optimization and Failure Prediction: AI Applications for Enhanced Metallurgical Processing and Quality Control\"** ### Alternative Title 5 (Short & Impactful)**\"AI in Metallurgy: From Microstructure to Mechanical Properties - A Comprehensive Review of Eight Critical Applications\"** ### Alternative Title 6 (Technical)**\"Machine Learning and Deep Learning for EBSD Analysis, SEM Image Recognition, Texture Quantification, Grain Size Estimation, Phase Fraction Prediction, Mechanical Property Estimation, Failure Prediction, and Heat Treatment Optimization\"** ### Alternative Title 7 (Physics-Informed)**\"Physics-Informed Artificial Intelligence for Metallurgical Characterization: Integrating Domain Knowledge with Data-Driven Approaches for Enhanced Prediction and Optimization\"** ### Alternative Title 8 (Application-Focused)**\"Transforming Metallurgical Engineering with AI: Automated Characterization, Predictive Modeling, and Intelligent Process Optimization\"** ### Alternative Title 9 (Industry-Focused)**\"AI-Enabled Quality Control and Process Optimization in Metallurgy: From Microstructural Analysis to Mechanical Property Prediction\"** ### Alternative Title 10 (Comprehensive Review)**\"Artificial Intelligence Applications in Metallurgical Engineering: A Systematic Review of Microstructure Analysis, Property Prediction, Failure Analysis, and Process Optimization\"** --- ## SUBTITLE OPTIONS ### Subtitle 1**\"A Comprehensive Examination of Machine Learning and Deep Learning Applications for EBSD Analysis, SEM Image Recognition, Texture Quantification, Grain Size Estimation, Phase Fraction Prediction, Mechanical Property Estimation, Failure Prediction, and Heat Treatment Optimization\"** ### Subtitle 2**\"From Microstructural Characterization to Process Optimization: How Artificial Intelligence is Transforming Metallurgical Engineering\"** ### Subtitle 3**\"Integrating Physics-Informed Machine Learning, Deep Learning, and Explainable AI for Enhanced Metallurgical Analysis and Decision-Making\"** ### Subtitle 4**\"Opportunities, Challenges, and Future Directions for AI-Driven Characterization, Property Prediction, and Process Control in Metallurgy\"** ### Subtitle 5**\"Bridging the Gap Between Microstructure and Properties Through Artificial Intelligence: A Comprehensive Framework for Metallurgical Applications\"** ### Subtitle 6**\"Accelerating Materials Development and Quality Control Through AI-Enabled Characterization, Prediction, and Optimization\"** ### Subtitle 7**\"A Strategic Roadmap for Implementing AI in Metallurgical Laboratories, Manufacturing Facilities, and Research Institutions\"** ### Subtitle 8**\"Leveraging Machine Learning, Deep Learning, and Physics-Informed Models for Next-Generation Metallurgical Engineering\"** ### Subtitle 9**\"From Grain Boundaries to Fracture Toughness: AI-Driven Solutions for Comprehensive Metallurgical Analysis\"** ### Subtitle 10**\"Transforming Traditional Metallurgy Through Intelligent Automation, Predictive Modeling, and Data-Driven Process Optimization\"** --- ## DETAILED DESCRIPTION ### 1. Introduction and Background The integration of artificial intelligence into metallurgical engineering has revolutionized traditional approaches to materials characterization, property prediction, and process optimization. This c","url":"https://doi.org/10.5281/zenodo.21550120","authors":["geruganti, sudhakar"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21550120","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21550121","name":"# Artificial Intelligence in Metallurgical Engineering: Comprehensive Applications in Microstructure Analysis, Property Prediction, and Process Optimization","source":"datacite","abstract":"## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**\"AI-Powered Metallurgical Characterization and Optimization: From EBSD Analysis and SEM Image Recognition to Mechanical Property Prediction and Heat Treatment Optimization\"** ### Alternative Title 2 (Microstructure Focus)**\"Revolutionizing Microstructural Analysis with Artificial Intelligence: EBSD, SEM, Texture Quantification, Grain Size Estimation, and Phase Fraction Prediction\"** ### Alternative Title 3 (Property Focus)**\"Intelligent Property Prediction in Metallurgy: AI-Driven Estimation of Mechanical Properties, Fatigue Life, Creep Behavior, and Fracture Toughness\"** ### Alternative Title 4 (Process Focus)**\"Data-Driven Heat Treatment Optimization and Failure Prediction: AI Applications for Enhanced Metallurgical Processing and Quality Control\"** ### Alternative Title 5 (Short & Impactful)**\"AI in Metallurgy: From Microstructure to Mechanical Properties - A Comprehensive Review of Eight Critical Applications\"** ### Alternative Title 6 (Technical)**\"Machine Learning and Deep Learning for EBSD Analysis, SEM Image Recognition, Texture Quantification, Grain Size Estimation, Phase Fraction Prediction, Mechanical Property Estimation, Failure Prediction, and Heat Treatment Optimization\"** ### Alternative Title 7 (Physics-Informed)**\"Physics-Informed Artificial Intelligence for Metallurgical Characterization: Integrating Domain Knowledge with Data-Driven Approaches for Enhanced Prediction and Optimization\"** ### Alternative Title 8 (Application-Focused)**\"Transforming Metallurgical Engineering with AI: Automated Characterization, Predictive Modeling, and Intelligent Process Optimization\"** ### Alternative Title 9 (Industry-Focused)**\"AI-Enabled Quality Control and Process Optimization in Metallurgy: From Microstructural Analysis to Mechanical Property Prediction\"** ### Alternative Title 10 (Comprehensive Review)**\"Artificial Intelligence Applications in Metallurgical Engineering: A Systematic Review of Microstructure Analysis, Property Prediction, Failure Analysis, and Process Optimization\"** --- ## SUBTITLE OPTIONS ### Subtitle 1**\"A Comprehensive Examination of Machine Learning and Deep Learning Applications for EBSD Analysis, SEM Image Recognition, Texture Quantification, Grain Size Estimation, Phase Fraction Prediction, Mechanical Property Estimation, Failure Prediction, and Heat Treatment Optimization\"** ### Subtitle 2**\"From Microstructural Characterization to Process Optimization: How Artificial Intelligence is Transforming Metallurgical Engineering\"** ### Subtitle 3**\"Integrating Physics-Informed Machine Learning, Deep Learning, and Explainable AI for Enhanced Metallurgical Analysis and Decision-Making\"** ### Subtitle 4**\"Opportunities, Challenges, and Future Directions for AI-Driven Characterization, Property Prediction, and Process Control in Metallurgy\"** ### Subtitle 5**\"Bridging the Gap Between Microstructure and Properties Through Artificial Intelligence: A Comprehensive Framework for Metallurgical Applications\"** ### Subtitle 6**\"Accelerating Materials Development and Quality Control Through AI-Enabled Characterization, Prediction, and Optimization\"** ### Subtitle 7**\"A Strategic Roadmap for Implementing AI in Metallurgical Laboratories, Manufacturing Facilities, and Research Institutions\"** ### Subtitle 8**\"Leveraging Machine Learning, Deep Learning, and Physics-Informed Models for Next-Generation Metallurgical Engineering\"** ### Subtitle 9**\"From Grain Boundaries to Fracture Toughness: AI-Driven Solutions for Comprehensive Metallurgical Analysis\"** ### Subtitle 10**\"Transforming Traditional Metallurgy Through Intelligent Automation, Predictive Modeling, and Data-Driven Process Optimization\"** --- ## DETAILED DESCRIPTION ### 1. Introduction and Background The integration of artificial intelligence into metallurgical engineering has revolutionized traditional approaches to materials characterization, property prediction, and process optimization. This c","url":"https://doi.org/10.5281/zenodo.21550121","authors":["geruganti, sudhakar"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21550121","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.14800473","name":"CLIM4cities: from Citizen Science, Machine Learning and Earth Observation towards Urban Climate Services","source":"datacite","abstract":"This poster was presented at the ESA Digital Twin Earth Components: Open Science Meeting taking place at ESA-ESRIN in Frascati, Italy from 3 - 5 February 2025. The poster was presented by +CoLAB partners, Ines Girao and Ana Oliveira in-person on 4 Feburary 2025. The event was a networking opportunity and an invitation to scientists, research institutions, policymakers, innovators, industry, ESA DTE activities, European and national DT initiatives and projects to share their experience and contribute to shape the future evolution of the use of EO in the context of Digital Twins in Europe. The overall objectives for this workshop were to: Present the latest ESA Digital Twin projects and activities. Share the latest research and scientific results in EO, AI, modelling and technology contributing to advance Digital Twin capabilities. Identify common priorities, standards and interoperability aspects across Digital Twin activities. Foster community building and trigger collaborative research across projects and initiatives. Assessing challenges and opportunity in the use of EO data for Digital Twins. Contribute to defining a community Science and R&D agenda to advance in the effective use of EO data in Digital Twins.","url":"https://doi.org/10.5281/zenodo.14800473","authors":["CoLAB +ATLANTIC Team","Danish Meteorological Team"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14800473","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.14800472","name":"CLIM4cities: from Citizen Science, Machine Learning and Earth Observation towards Urban Climate Services","source":"datacite","abstract":"This poster was presented at the ESA Digital Twin Earth Components: Open Science Meeting taking place at ESA-ESRIN in Frascati, Italy from 3 - 5 February 2025. The poster was presented by +CoLAB partners, Ines Girao and Ana Oliveira in-person on 4 Feburary 2025. The event was a networking opportunity and an invitation to scientists, research institutions, policymakers, innovators, industry, ESA DTE activities, European and national DT initiatives and projects to share their experience and contribute to shape the future evolution of the use of EO in the context of Digital Twins in Europe. The overall objectives for this workshop were to: Present the latest ESA Digital Twin projects and activities. Share the latest research and scientific results in EO, AI, modelling and technology contributing to advance Digital Twin capabilities. Identify common priorities, standards and interoperability aspects across Digital Twin activities. Foster community building and trigger collaborative research across projects and initiatives. Assessing challenges and opportunity in the use of EO data for Digital Twins. Contribute to defining a community Science and R&D agenda to advance in the effective use of EO data in Digital Twins.","url":"https://doi.org/10.5281/zenodo.14800472","authors":["CoLAB +ATLANTIC Team","Danish Meteorological Team"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14800472","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21110602","name":"A Digital Twin Framework for Predicting Desertification Tipping Points Using Coupled Ecohydrological Dynamics","source":"datacite","abstract":"Accurate prediction of desertification tipping points remains one of the major challenges in dryland science. Existing approaches primarily focus on retrospective analyses of degradation processes and often fail to provide predictive capabilities. This study introduces a novel Digital Twin Desert System (DTDS), a computational framework designed to simulate, monitor, and forecast dryland ecosystem transitions in real time. The framework integrates ecohydrological variables, biodiversity dynamics, climate forcing, and anthropogenic pressures into a coupled dynamic model. Using numerical simulations and sensitivity analysis, the model identifies early-warning indicators of approaching desertification thresholds. Results suggest that critical transitions can be detected years before observable ecosystem collapse through changes in system resilience, variance, and recovery rates. The proposed framework offers a predictive decision-support tool for sustainable dryland management and climate adaptation. Keywords Digital Twin; Desertification Prediction; Dryland Systems; Ecohydrology; Early Warning Signals; Tipping Points; Numerical Simulation; Climate Change; Ecological Forecasting; Resilience Assessment; System Dynamics; Environmental Modelling; Sustainability Science","url":"https://doi.org/10.5281/zenodo.21110602","authors":["Karimi Baghmaleki, Majid"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21110602","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21110603","name":"A Digital Twin Framework for Predicting Desertification Tipping Points Using Coupled Ecohydrological Dynamics","source":"datacite","abstract":"Accurate prediction of desertification tipping points remains one of the major challenges in dryland science. Existing approaches primarily focus on retrospective analyses of degradation processes and often fail to provide predictive capabilities. This study introduces a novel Digital Twin Desert System (DTDS), a computational framework designed to simulate, monitor, and forecast dryland ecosystem transitions in real time. The framework integrates ecohydrological variables, biodiversity dynamics, climate forcing, and anthropogenic pressures into a coupled dynamic model. Using numerical simulations and sensitivity analysis, the model identifies early-warning indicators of approaching desertification thresholds. Results suggest that critical transitions can be detected years before observable ecosystem collapse through changes in system resilience, variance, and recovery rates. The proposed framework offers a predictive decision-support tool for sustainable dryland management and climate adaptation. Keywords Digital Twin; Desertification Prediction; Dryland Systems; Ecohydrology; Early Warning Signals; Tipping Points; Numerical Simulation; Climate Change; Ecological Forecasting; Resilience Assessment; System Dynamics; Environmental Modelling; Sustainability Science","url":"https://doi.org/10.5281/zenodo.21110603","authors":["Karimi Baghmaleki, Majid"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21110603","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21745620","name":"Model for Integrating Private Debt Financing in Digital Transformation of Infrastructure Firms","source":"datacite","abstract":"Digital transformation has emerged as a critical driver of efficiency, competitiveness, and sustainability in infrastructure firms, encompassing investments in smart systems, predictive analytics, IoT-enabled assets, and digital twin technologies. At the same time, private debt financing has become an increasingly prominent mechanism for supporting capital-intensive infrastructure projects, offering flexibility, tailored terms, and access to specialized financing structures. Integrating private debt financing into the digital transformation of infrastructure firms requires a structured approach that balances investment returns, risk exposure, and operational impact. This develops a comprehensive model to guide infrastructure firms and investors in strategically allocating private debt to digital initiatives. The model combines multi-dimensional inputs, including historical and projected financial statements, digital transformation costs, macroeconomic indicators, and firm-specific risk metrics. A risk assessment layer evaluates default probabilities, technology adoption risk, and implementation uncertainties, while scenario analyses and stress-testing quantify potential vulnerabilities under adverse market and operational conditions. At the core of the model is a multi-objective optimization engine that balances debt servicing costs, expected returns, operational efficiency gains, and risk-adjusted performance. Constraints related to leverage limits, liquidity requirements, regulatory compliance, and ESG considerations are embedded to ensure sustainable and compliant allocation decisions. The output layer provides actionable recommendations on debt allocation across digital initiatives, projected financial outcomes, and risk-return visualizations to support informed decision-making by investment committees and corporate executives. The framework emphasizes dynamic rebalancing, allowing firms to adjust financing strategies in response to project progress, market developments, and evolving digital priorities. By integrating private debt into digital transformation planning, the model enhances transparency, resilience, and strategic alignment, enabling infrastructure firms to realize operational improvements while maintaining financial stability. Future extensions include AI-driven predictive analytics, ESG optimization, and cross-border financing considerations, creating an adaptive, data-driven framework that aligns capital deployment with the evolving landscape of digital infrastructure.","url":"https://doi.org/10.5281/zenodo.21745620","authors":["Farounbi, Blessing Olajumoke","Okafor, Chizoba Michael","Oguntegbe, Esther Ebunoluwa"],"tags":["Private Debt Financing","Digital Transformation","Infrastructure Firms","Capital Allocation","Project Financing","Technology Integration","Risk Assessment","Portfolio Optimization"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.21745620","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21745621","name":"Model for Integrating Private Debt Financing in Digital Transformation of Infrastructure Firms","source":"datacite","abstract":"Digital transformation has emerged as a critical driver of efficiency, competitiveness, and sustainability in infrastructure firms, encompassing investments in smart systems, predictive analytics, IoT-enabled assets, and digital twin technologies. At the same time, private debt financing has become an increasingly prominent mechanism for supporting capital-intensive infrastructure projects, offering flexibility, tailored terms, and access to specialized financing structures. Integrating private debt financing into the digital transformation of infrastructure firms requires a structured approach that balances investment returns, risk exposure, and operational impact. This develops a comprehensive model to guide infrastructure firms and investors in strategically allocating private debt to digital initiatives. The model combines multi-dimensional inputs, including historical and projected financial statements, digital transformation costs, macroeconomic indicators, and firm-specific risk metrics. A risk assessment layer evaluates default probabilities, technology adoption risk, and implementation uncertainties, while scenario analyses and stress-testing quantify potential vulnerabilities under adverse market and operational conditions. At the core of the model is a multi-objective optimization engine that balances debt servicing costs, expected returns, operational efficiency gains, and risk-adjusted performance. Constraints related to leverage limits, liquidity requirements, regulatory compliance, and ESG considerations are embedded to ensure sustainable and compliant allocation decisions. The output layer provides actionable recommendations on debt allocation across digital initiatives, projected financial outcomes, and risk-return visualizations to support informed decision-making by investment committees and corporate executives. The framework emphasizes dynamic rebalancing, allowing firms to adjust financing strategies in response to project progress, market developments, and evolving digital priorities. By integrating private debt into digital transformation planning, the model enhances transparency, resilience, and strategic alignment, enabling infrastructure firms to realize operational improvements while maintaining financial stability. Future extensions include AI-driven predictive analytics, ESG optimization, and cross-border financing considerations, creating an adaptive, data-driven framework that aligns capital deployment with the evolving landscape of digital infrastructure.","url":"https://doi.org/10.5281/zenodo.21745621","authors":["Farounbi, Blessing Olajumoke","Okafor, Chizoba Michael","Oguntegbe, Esther Ebunoluwa"],"tags":["Private Debt Financing","Digital Transformation","Infrastructure Firms","Capital Allocation","Project Financing","Technology Integration","Risk Assessment","Portfolio Optimization"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.21745621","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21865004","name":"Differential Passive Optical Sentinels for Lunar Surface Environmental Monitoring: A Reduced Digital-Twin Framework","source":"datacite","abstract":"This record contains the simulation code, generated datasets, figures and supplementary computational outputs associated with the manuscript “Degradation-as-Signal for Lunar Surface Environmental Monitoring: A Digital-Twin Framework for Passive Optical Sentinels”, prepared for submission to Advances in Space Research.The repository implements a reduced-order digital-twin framework for evaluating passive optical environmental sentinels on the lunar surface. The model simulates a differential array of selectively protected thin-film patches exposed to coupled lunar environmental stressors, including ultraviolet exposure, ionising-radiation proxies, thermal cycling and dust deposition.The package includes forward simulation, inverse reconstruction, sensitivity analysis, surrogate modelling and figure-generation scripts. It also includes the CSV outputs used to generate the scenario summaries, inverse-reconstruction metrics, sensitivity rankings, surrogate-model metrics and representative sensor parameters reported in the manuscript.The simulations use representative exploratory parameters rather than experimentally calibrated material constants. The results should therefore be interpreted as architecture-level and identifiability analyses within the simulated design space, not as validated performance estimates for a flight-ready lunar sensor.Included materials:- Python source code for the reduced digital-twin framework.- Generated CSV datasets.- Main and supplementary figures.- Supplementary material files.- README, license, requirements and citation metadata.","url":"https://doi.org/10.5281/zenodo.21865004","authors":["Vega Fleitas, Erika","Moll Lopez, Santiago","Moraño, José Antonio","Sánchez Ruiz, Luis M."],"tags":["Lunar surface environment","Environmental monitoring","Passive optical sentinel","Degradation-as-signal","Digital twin","Lunar dust","Radiation exposure","Thermal cycling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21865004","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20031244","name":"Differential Passive Optical Sentinels for Lunar Surface Environmental Monitoring: A Reduced Digital-Twin Framework","source":"datacite","abstract":"This record contains the simulation code, generated datasets, figures and supplementary computational outputs associated with the manuscript “Degradation-as-Signal for Lunar Surface Environmental Monitoring: A Digital-Twin Framework for Passive Optical Sentinels”, prepared for submission to Advances in Space Research.The repository implements a reduced-order digital-twin framework for evaluating passive optical environmental sentinels on the lunar surface. The model simulates a differential array of selectively protected thin-film patches exposed to coupled lunar environmental stressors, including ultraviolet exposure, ionising-radiation proxies, thermal cycling and dust deposition.The package includes forward simulation, inverse reconstruction, sensitivity analysis, surrogate modelling and figure-generation scripts. It also includes the CSV outputs used to generate the scenario summaries, inverse-reconstruction metrics, sensitivity rankings, surrogate-model metrics and representative sensor parameters reported in the manuscript.The simulations use representative exploratory parameters rather than experimentally calibrated material constants. The results should therefore be interpreted as architecture-level and identifiability analyses within the simulated design space, not as validated performance estimates for a flight-ready lunar sensor.Included materials:- Python source code for the reduced digital-twin framework.- Generated CSV datasets.- Main and supplementary figures.- Supplementary material files.- README, license, requirements and citation metadata.","url":"https://doi.org/10.5281/zenodo.20031244","authors":["Vega Fleitas, Erika","Moll Lopez, Santiago","Moraño, José Antonio","Sánchez Ruiz, Luis M."],"tags":["Lunar surface environment","Environmental monitoring","Passive optical sentinel","Degradation-as-signal","Digital twin","Lunar dust","Radiation exposure","Thermal cycling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20031244","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20012975","name":"Differential Passive Optical Sentinels for Lunar Surface Environmental Monitoring: A Reduced Digital-Twin Framework","source":"datacite","abstract":"This record contains the simulation code, generated datasets, figures and supplementary computational outputs associated with the manuscript “Degradation-as-Signal for Lunar Surface Environmental Monitoring: A Digital-Twin Framework for Passive Optical Sentinels”, prepared for submission to Advances in Space Research.The repository implements a reduced-order digital-twin framework for evaluating passive optical environmental sentinels on the lunar surface. The model simulates a differential array of selectively protected thin-film patches exposed to coupled lunar environmental stressors, including ultraviolet exposure, ionising-radiation proxies, thermal cycling and dust deposition.The package includes forward simulation, inverse reconstruction, sensitivity analysis, surrogate modelling and figure-generation scripts. It also includes the CSV outputs used to generate the scenario summaries, inverse-reconstruction metrics, sensitivity rankings, surrogate-model metrics and representative sensor parameters reported in the manuscript.The simulations use representative exploratory parameters rather than experimentally calibrated material constants. The results should therefore be interpreted as architecture-level and identifiability analyses within the simulated design space, not as validated performance estimates for a flight-ready lunar sensor.Included materials:- Python source code for the reduced digital-twin framework.- Generated CSV datasets.- Main and supplementary figures.- Supplementary material files.- README, license, requirements and citation metadata.","url":"https://doi.org/10.5281/zenodo.20012975","authors":["Vega Fleitas, Erika","Moll Lopez, Santiago","Moraño, José Antonio","Sánchez Ruiz, Luis M."],"tags":["Lunar surface environment","Environmental monitoring","Passive optical sentinel","Degradation-as-signal","Digital twin","Lunar dust","Radiation exposure","Thermal cycling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20012975","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20012976","name":"Differential Passive Optical Sentinels for Lunar Surface Environmental Monitoring: A Reduced Digital-Twin Framework","source":"datacite","abstract":"This record contains the simulation code, generated datasets, figures and supplementary computational outputs associated with the manuscript “Degradation-as-Signal for Lunar Surface Environmental Monitoring: A Digital-Twin Framework for Passive Optical Sentinels”, prepared for submission to Advances in Space Research.The repository implements a reduced-order digital-twin framework for evaluating passive optical environmental sentinels on the lunar surface. The model simulates a differential array of selectively protected thin-film patches exposed to coupled lunar environmental stressors, including ultraviolet exposure, ionising-radiation proxies, thermal cycling and dust deposition.The package includes forward simulation, inverse reconstruction, sensitivity analysis, surrogate modelling and figure-generation scripts. It also includes the CSV outputs used to generate the scenario summaries, inverse-reconstruction metrics, sensitivity rankings, surrogate-model metrics and representative sensor parameters reported in the manuscript.The simulations use representative exploratory parameters rather than experimentally calibrated material constants. The results should therefore be interpreted as architecture-level and identifiability analyses within the simulated design space, not as validated performance estimates for a flight-ready lunar sensor.Included materials:- Python source code for the reduced digital-twin framework.- Generated CSV datasets.- Main and supplementary figures.- Supplementary material files.- README, license, requirements and citation metadata.","url":"https://doi.org/10.5281/zenodo.20012976","authors":["Vega Fleitas, Erika","Moll Lopez, Santiago","Moraño, José Antonio","Sánchez Ruiz, Luis M."],"tags":["Lunar surface environment","Environmental monitoring","Passive optical sentinel","Degradation-as-signal","Digital twin","Lunar dust","Radiation exposure","Thermal cycling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20012976","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20344044","name":"TLMM v5.4: Exploratory Adaptive Viability Maintenance Under Uncertainty","source":"datacite","abstract":"TLMM v5.4 presents an exploratory conceptual framework for adaptive viability maintenance under uncertainty, integrating uncertainty-aware monitoring, geometry-informed latent dynamics, adaptive trigger modulation, viability-constrained predictive control, federated adaptive learning, and exploratory edge deployment strategies. The framework introduces three primary conceptual directions: uncertainty decomposition using input, parameter, structural, and domain uncertainty components, geometry- and topology-inspired latent manifold degradation indicators, viability-constrained adaptive predictive control under evolving uncertainty conditions. The repository includes: a 13-figure conceptual framework collection, exploratory simulation-derived visualizations, an accompanying Python demo script, methodological notes and scope limitations. All figures, metrics, trajectories, intervention outputs, uncertainty estimates, and deployment benchmarks are illustrative and simulation-derived. This work is intended exclusively for exploratory methodological research and conceptual systems analysis. No clinical deployment, therapeutic efficacy, regulatory approval, or production-grade validation is claimed. Author: Koji OkinoAffiliation: SD Lab LLCORCID: 0009-0003-9273-9813","url":"https://doi.org/10.5281/zenodo.20344044","authors":["Okino, Koji"],"tags":["TLMM","adaptive viability","uncertainty-aware systems","predictive control","geometry-informed dynamics","latent manifold","topological persistence","adaptive triggering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20344044","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20344045","name":"TLMM v5.4: Exploratory Adaptive Viability Maintenance Under Uncertainty","source":"datacite","abstract":"TLMM v5.4 presents an exploratory conceptual framework for adaptive viability maintenance under uncertainty, integrating uncertainty-aware monitoring, geometry-informed latent dynamics, adaptive trigger modulation, viability-constrained predictive control, federated adaptive learning, and exploratory edge deployment strategies. The framework introduces three primary conceptual directions: uncertainty decomposition using input, parameter, structural, and domain uncertainty components, geometry- and topology-inspired latent manifold degradation indicators, viability-constrained adaptive predictive control under evolving uncertainty conditions. The repository includes: a 13-figure conceptual framework collection, exploratory simulation-derived visualizations, an accompanying Python demo script, methodological notes and scope limitations. All figures, metrics, trajectories, intervention outputs, uncertainty estimates, and deployment benchmarks are illustrative and simulation-derived. This work is intended exclusively for exploratory methodological research and conceptual systems analysis. No clinical deployment, therapeutic efficacy, regulatory approval, or production-grade validation is claimed. Author: Koji OkinoAffiliation: SD Lab LLCORCID: 0009-0003-9273-9813","url":"https://doi.org/10.5281/zenodo.20344045","authors":["Okino, Koji"],"tags":["TLMM","adaptive viability","uncertainty-aware systems","predictive control","geometry-informed dynamics","latent manifold","topological persistence","adaptive triggering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20344045","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21112888","name":"IN SILICO EXPERIMENTS: Corpus di affermazioni che tentano un'unificazione di altissimo livello tra Geometria Algebrica, Fisica Teorica (Gravità Quantistica e Sistemi Quantistici) e Analisi Spettrale","source":"datacite","abstract":"Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo: Confutazione del Modello Eziologico Classico e Dinamiche di Appropriazione Regale delle Acque nel Mediterraneo Arcaico. Il Caso dei Tirsenoi e del Fiume Tirso nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277461 5. Usai, L. (2026). LA LACONIA E LA SCIZIA IN GALLURA NEL PARADIGMA SARDO-CORSO-ATLANTIDEO (PSCA): PERSISTENZE TOPONOMASTICHE, GEOMITOLOGICHE ED ETNOGENESI DEI TIRSENOI DA EUFEMO A POLIFEMO. Zenodo. https://doi.org/10.5281/zenodo.20445954 6. Usai, L. (2026). La Connessione Scito-Gallurese nella Genesi Protovillanoviana: Un Modello di Archeologia Predittiva basato sul Paradigma Sardo-Corso-Atlantideo (PSCA) e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20447774 7. Usai, L. (2026). La potenza predittiva del PSCA di Usai: L'evoluzione semantica e semiotica gallurese da doppie volute scitiche di Usai al Giglio Toscano; sotto l'Echidna, a dimostrare origine scita Gallurese degli Etruschi. Zenodo. https://doi.org/10.5281/zenodo.20529923 8. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20585617 9. Usai, L. (2026). Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20629091 10. Usai, L. (2026). Archeologia Predittiva nel Paradigma Sardo-Corso-Atlantideo (PSCA): Previsione di Sepolture Scitiche (Kurgan) in Gallura e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20531222 11. Usai, L. (2026). Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20629896 12. Usai, L. (2026). ScienzeDure.txt: Dataset Ipergrafico Autopoietico Multidisciplinare. Estratto del Grafo di Conoscenza Autopoietico. 13. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20629963 14. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20630692 15. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20630978 16. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (Hypergra","url":"https://doi.org/10.5281/zenodo.21112888","authors":["Usai, Luigi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21112888","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.21112890","name":"IN SILICO EXPERIMENTS: Corpus di affermazioni che tentano un'unificazione di altissimo livello tra Geometria Algebrica, Fisica Teorica (Gravità Quantistica e Sistemi Quantistici) e Analisi Spettrale","source":"datacite","abstract":"Piccola bibliografia iniziale: Usai, L. (2024). Il Paradigma Sardo-Corso-Atlantideo (PSCA). Editore/Piattaforma di pubblicazione autonoma. 1. Usai, L. (2026). La Memoria Metallurgica Inconscia: Il Simbolo di Atena Tritonide e le Volute Scitiche nel Ferro Battuto Sardo (Un'Analisi PSCA). Zenodo. https://doi.org/10.5281/zenodo.20447094 2. Usai, L. (2026). Rilettura Geografica delle Campagne di Dario I: Evidenze Toponomastiche, Archeologiche e Onomastiche dei Popoli Erodotei (Medi, Budini, Sciti) in Sardegna. Zenodo. https://doi.org/10.5281/zenodo.20447081 3. Usai, L. (2026). Eracle in Sardegna: La Decima Fatica come Portolano Nuragico. Rilettura geografica della Biblioteca di Pseudo-Apollodoro nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277458 4. Usai, L. (2026). Dall'Idronimo all'Etnonimo: Confutazione del Modello Eziologico Classico e Dinamiche di Appropriazione Regale delle Acque nel Mediterraneo Arcaico. Il Caso dei Tirsenoi e del Fiume Tirso nel PSCA. Zenodo. https://doi.org/10.5281/zenodo.20277461 5. Usai, L. (2026). LA LACONIA E LA SCIZIA IN GALLURA NEL PARADIGMA SARDO-CORSO-ATLANTIDEO (PSCA): PERSISTENZE TOPONOMASTICHE, GEOMITOLOGICHE ED ETNOGENESI DEI TIRSENOI DA EUFEMO A POLIFEMO. Zenodo. https://doi.org/10.5281/zenodo.20445954 6. Usai, L. (2026). La Connessione Scito-Gallurese nella Genesi Protovillanoviana: Un Modello di Archeologia Predittiva basato sul Paradigma Sardo-Corso-Atlantideo (PSCA) e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20447774 7. Usai, L. (2026). La potenza predittiva del PSCA di Usai: L'evoluzione semantica e semiotica gallurese da doppie volute scitiche di Usai al Giglio Toscano; sotto l'Echidna, a dimostrare origine scita Gallurese degli Etruschi. Zenodo. https://doi.org/10.5281/zenodo.20529923 8. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. Usai, L. (2026). La Semiotica dell'Onda e del Meandro nella Ceramica Protostorica: Ipotesi di Marcatura Migratoria nel Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20585617 9. Usai, L. (2026). Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20629091 10. Usai, L. (2026). Archeologia Predittiva nel Paradigma Sardo-Corso-Atlantideo (PSCA): Previsione di Sepolture Scitiche (Kurgan) in Gallura e Protocollo di Falsificabilità. Zenodo. https://doi.org/10.5281/zenodo.20531222 11. Usai, L. (2026). Dalla Decapitazione Rituale alla Ceramica Figurata: L'Origine del Kantharos Etrusco a Testa Umana nel Quadro del Paradigma Sardo-Corso-Atlantideo (PSCA). Zenodo. https://doi.org/10.5281/zenodo.20629896 12. Usai, L. (2026). ScienzeDure.txt: Dataset Ipergrafico Autopoietico Multidisciplinare. Estratto del Grafo di Conoscenza Autopoietico. 13. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20629963 14. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20630692 15. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (HypergraphPSCA): Un framework metodologico e predittivo popperiano ad ipergrafi semantici autopoietici basato sulla Storiografia Algoritmica e l'Ingegneria Storiografica Inversa. Zenodo. https://doi.org/10.5281/zenodo.20630978 16. Usai, L. (2026). Il Paradigma Sardo-Corso-Atlantideo in Ipergrafi autopoietici (Hypergra","url":"https://doi.org/10.5281/zenodo.21112890","authors":["Usai, Luigi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21112890","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22095550","name":"D11.1 Pilots Definition - Extended Executive Summary","source":"datacite","abstract":"This document is an extended executive edition of the ARTEMIS Deliverable D11.1 Pilots Definition. It preserves the high-level structure of the original deliverable while reducing the extensive pilot descriptions, tables, checklists and implementation details into a concise, readable summary. The aim is to provide a coherent overview for project officers, consortium partners, technical work package leaders, heritage stakeholders and new team members who need to understand the pilot portfolio without (or before) reading the full 544-page source document. The summary follows the structure of the original deliverable covering: introduction, pilot design methodology, Pilot Design Template framework, portfolio overview, small-, medium- and large-scale pilots, software stack, internal evaluation, monitoring approach and conclusions. Detailed Gantt charts, checklist items and extensive integration tables have been condensed into narrative summaries and consolidated matrices. Technical terminology has been retained where it is essential to the ARTEMIS concept.","url":"https://doi.org/10.5281/zenodo.22095550","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Pilot Projects"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095550","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22095551","name":"D11.1 Pilots Definition - Extended Executive Summary","source":"datacite","abstract":"This document is an extended executive edition of the ARTEMIS Deliverable D11.1 Pilots Definition. It preserves the high-level structure of the original deliverable while reducing the extensive pilot descriptions, tables, checklists and implementation details into a concise, readable summary. The aim is to provide a coherent overview for project officers, consortium partners, technical work package leaders, heritage stakeholders and new team members who need to understand the pilot portfolio without (or before) reading the full 544-page source document. The summary follows the structure of the original deliverable covering: introduction, pilot design methodology, Pilot Design Template framework, portfolio overview, small-, medium- and large-scale pilots, software stack, internal evaluation, monitoring approach and conclusions. Detailed Gantt charts, checklist items and extensive integration tables have been condensed into narrative summaries and consolidated matrices. Technical terminology has been retained where it is essential to the ARTEMIS concept.","url":"https://doi.org/10.5281/zenodo.22095551","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Pilot Projects"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095551","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20521031","name":"Measuring captured predictive information in manufacturing control: a value-of-information bound, its non-Gaussian and high-dimensional corrections, and which claims survive a fair test","source":"datacite","abstract":"Industry 4.0 metrics (OEE, throughput, scrap) are aggregate and ex post; none measures how well a system can predict, and so pre-empt, its own future. This paper defines a manufacturing system's captured predictive information (I_pred) as the mutual information between its world model and its own future waste-relevant state, and establishes the Predictive Organization Bound: the fractional reduction in expected waste achievable by any control policy is upper-bounded by I_pred, independent of actuation capacity. The bound is presented honestly as a specialisation of the established information-theoretic limits of control (Touchette–Lloyd; the Nair–Evans data-rate theorem) and rate–distortion theory — not a new inequality. It is extended to non-Gaussian disturbances via an entropy-power factor g, to multivariate waste via an effective dimension (a participation ratio), and across a control hierarchy via a coherence-throttled composition law, and tested across eleven seeded, reproducible computational pilots (with multi-seed bootstrap confidence intervals) and one real recorded series. Key results: the naive Gaussian / ambient-dimension ceilings are reliably beaten (rates 0.25, 0.66) while the corrected entropy-power / effective-dimension forms are never beaten (0.00); Net Predictive Organization peaks then declines with model capacity; a controller can hold predictive information it cannot use; control reach tracks the predictive horizon (slope-1, R² = 0.999); and usable foresight is throttled by the weakest cross-layer link. Reported as a falsified hypothesis, not omitted: the marketable claim that a forward index beats conventional activity metrics does not survive a fair baseline (+0.013 R², 53% of seeds), nor an early-warning reformulation (R² = 0.07). This is a candid methods-and-bound contribution; all results are simulation- and proxy-scale, and a physical line remains the decisive test. The broader, explicitly speculative programme it instantiates (the Predictive Reality Hypothesis) is developed separately and is not relied upon for any claim here. Code and figures: see the supplementary archive.","url":"https://doi.org/10.5281/zenodo.20521031","authors":["Schomaker, K"],"tags":["predictive information","rate-distortion","value of information","information-theoretic limits of control","digital twin","overall equipment effectiveness","world models","effective dimension"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20521031","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20521032","name":"Measuring captured predictive information in manufacturing control: a value-of-information bound, its non-Gaussian and high-dimensional corrections, and which claims survive a fair test","source":"datacite","abstract":"Industry 4.0 metrics (OEE, throughput, scrap) are aggregate and ex post; none measures how well a system can predict, and so pre-empt, its own future. This paper defines a manufacturing system's captured predictive information (I_pred) as the mutual information between its world model and its own future waste-relevant state, and establishes the Predictive Organization Bound: the fractional reduction in expected waste achievable by any control policy is upper-bounded by I_pred, independent of actuation capacity. The bound is presented honestly as a specialisation of the established information-theoretic limits of control (Touchette–Lloyd; the Nair–Evans data-rate theorem) and rate–distortion theory — not a new inequality. It is extended to non-Gaussian disturbances via an entropy-power factor g, to multivariate waste via an effective dimension (a participation ratio), and across a control hierarchy via a coherence-throttled composition law, and tested across eleven seeded, reproducible computational pilots (with multi-seed bootstrap confidence intervals) and one real recorded series. Key results: the naive Gaussian / ambient-dimension ceilings are reliably beaten (rates 0.25, 0.66) while the corrected entropy-power / effective-dimension forms are never beaten (0.00); Net Predictive Organization peaks then declines with model capacity; a controller can hold predictive information it cannot use; control reach tracks the predictive horizon (slope-1, R² = 0.999); and usable foresight is throttled by the weakest cross-layer link. Reported as a falsified hypothesis, not omitted: the marketable claim that a forward index beats conventional activity metrics does not survive a fair baseline (+0.013 R², 53% of seeds), nor an early-warning reformulation (R² = 0.07). This is a candid methods-and-bound contribution; all results are simulation- and proxy-scale, and a physical line remains the decisive test. The broader, explicitly speculative programme it instantiates (the Predictive Reality Hypothesis) is developed separately and is not relied upon for any claim here. Code and figures: see the supplementary archive.","url":"https://doi.org/10.5281/zenodo.20521032","authors":["Schomaker, K"],"tags":["predictive information","rate-distortion","value of information","information-theoretic limits of control","digital twin","overall equipment effectiveness","world models","effective dimension"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20521032","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19554390","name":"Working Paper","source":"datacite","abstract":"AUGMANITAI Ethical Disclaimer §1-§26 (V4.0) — Bilingual (EN/DE) EN: §1 All content is exclusively descriptive (D) — no normative position is expressed. §2 No recommendation for any action or decision. §3 No instruction — content describes observations, not procedures. §4 No professional advice of any kind. §5 No normative position on any matter. §6 No medical position — terms are research descriptions, not clinical assessments. §7 No therapeutic position. §8 No diagnostic position — performance factor analyses are research constructs. §9 No legal position — regulatory references are descriptive. §10 No moral position — ethical observations are descriptive, not prescriptive. §11 All content is for academic and research purposes only. §12 AI assistance disclosure: AI tools were used as research instruments; all content reviewed and validated by the human author. §13 All content individually reviewed, validated, and published by Andreas Ehstand. §14 Age restriction: 18+ only. §15 Independent academic project — no institutional affiliation unless stated. §16 No professional service. §17 No commercial offer. §18 No commercial product — this is an academic research framework under CC license. §19 All empirical claims are subject to peer review, replication, and revision. §20 All rights reserved for future changes. §21 Published under CC BY-NC-ND 4.0. §22 Published bilingually (EN + DE) — both versions authoritative. §23 Research Purpose: Terms describing adversarial, manipulative, or sensitive phenomena are documented like medical pathologies or cybersecurity attack vectors — for understanding, diagnosis, classification, and prevention, not instruction or facilitation. §24 Misuse Exclusion: Any use for manipulation, deception, exploitation, surveillance, coercion, or harm is explicitly outside scope and condemned. §25 Safety Intent: This framework makes human-AI interaction safer, more transparent, and more accountable. §26 Author Condemnation: Andreas Ehstand explicitly condemns any misuse of this research for harm, manipulation, exploitation, or any activity undermining human autonomy, dignity, safety, or wellbeing. DE: §1 Alle Inhalte sind ausschließlich deskriptiv (D). §2 Keine Empfehlung. §3 Keine Anweisung. §4 Keine Beratung. §5 Keine normative Position. §6 Keine medizinische Position. §7 Keine therapeutische Position. §8 Keine diagnostische Position. §9 Keine rechtliche Position. §10 Keine moralische Position. §11 Ausschließlich akademische und Forschungszwecke. §12 KI-Unterstützung offengelegt. §13 Vom Autor geprüft und validiert. §14 Ab 18 Jahren. §15 Unabhängiges akademisches Projekt. §16 Kein professioneller Service. §17 Kein Angebot. §18 Kein kommerzielles Produkt. §19 Empirische Aussagen unter Begutachtungsvorbehalt. §20 Änderungsrechte vorbehalten. §21 CC BY-NC-ND 4.0. §22 Zweisprachig (EN + DE). §23 Forschungszweck: Terme werden im selben deskriptiven Geist dokumentiert wie medizinische Pathologien oder Cybersicherheits-Angriffsvektoren. §24 Missbrauchsausschluss: Jede Verwendung zum Zweck der Manipulation, Täuschung, Ausbeutung, Überwachung oder Schädigung liegt außerhalb des Forschungsrahmens und wird verurteilt. §25 Sicherheitsabsicht: Dieses Framework macht Mensch-KI-Interaktion sicherer. §26 Der Autor verurteilt ausdrücklich jeden Missbrauch dieser Forschung. Full 26§ Disclaimer V4.0 (2026-04-13) — Andreas Ehstand — ORCID: 0009-0006-3773-7796 CC BY-NC-ND 4.0 International | augmanitai.com","url":"https://doi.org/10.5281/zenodo.19554390","authors":["Ehstand, Andreas"],"tags":["WeClone","Digital Twin","AUGMANITAI","Definitions-Schleife","statisches Fine-Tuning","dynamische Kompression","Vergleichsanalyse"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19554390","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22095326","name":"D9.2 Services implementation v.1 - Extended Executive Summary","source":"datacite","abstract":"This document provides an accessible overview of Deliverable D9.2 – Services implementation v.1. It preserves the objectives, structure and strategic conclusions of the original deliverable while intentionally omitting detailed API specifications, endpoint definitions, payload descriptions and other implementation-level material. Deliverable D9.2 – Services Implementation v.1 represents one of the principal technical outcomes of Work Package 9 (WP9 – Services Design and Implementation) within the ARTEMIS project. Building upon the architectural baseline established in Deliverable D9.1, it documents the first implementation phase of the ARTEMIS service ecosystem and demonstrates how the initial service design has evolved into an operational, modular and integration-ready platform. The services developed within WP9 constitute the functional backbone of the ARTEMIS infrastructure. They enable heterogeneous software components, sensors, simulation engines, immersive environments and semantic resources to operate together through a common service architecture supporting monitoring, analysis, simulation, visualisation, collaboration and decision support across multiple cultural heritage scenarios. Service implementation has been carried out in close coordination with other ARTEMIS work packages. WP7 provides the infrastructure, authentication mechanisms and semantic foundations on which several services depend, while WP11 ensures that service development remains aligned with the functional requirements emerging from the pilot portfolio. This collaborative approach has progressively transformed the initial service architecture into an implementation-ready ecosystem capable of supporting future pilot validation. Compared with Deliverable D9.1, the ARTEMIS service catalogue has significantly expanded and matured. 26 new service entries have been introduced, mainly across the IoCT, Simulation and AR/VR domains, while several existing services have been refined to improve interoperability, scalability, security and platform integration. Earlier implementation choices have also been revised where more effective architectural solutions emerged during software development. The ARTEMIS ecosystem is organised around five complementary service families: IoCT and IoT Services, providing connectivity with sensors, devices and monitoring infrastructures; Simulation Services, supporting predictive analysis, environmental modelling and scenario evaluation; AR/VR Services, enabling immersive visualisation and collaborative interaction; Knowledge and Hypertext Services, organising contextual information and semantic relationships; Cataloguing Services, whose implementation will be completed during WP10 following the consolidation of the ARTEMIS ontology and Knowledge Base described in Deliverable D7.2. Together, these services establish the technological foundation required to connect cultural heritage assets with digital monitoring, simulation, immersive collaboration and knowledge management. Rather than representing isolated software components, they form a reusable ecosystem that supports different pilot scenarios while maintaining a common architectural framework. D9.2 therefore marks an important transition in the ARTEMIS project lifecycle. It documents the evolution from architectural design to operational implementation and establishes the technical baseline that will be further integrated, validated and released during WP10 – Services Revision and Use, where the service ecosystem will be assessed through real pilot deployments.","url":"https://doi.org/10.5281/zenodo.22095326","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Service design"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095326","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.22095327","name":"D9.2 Services implementation v.1 - Extended Executive Summary","source":"datacite","abstract":"This document provides an accessible overview of Deliverable D9.2 – Services implementation v.1. It preserves the objectives, structure and strategic conclusions of the original deliverable while intentionally omitting detailed API specifications, endpoint definitions, payload descriptions and other implementation-level material. Deliverable D9.2 – Services Implementation v.1 represents one of the principal technical outcomes of Work Package 9 (WP9 – Services Design and Implementation) within the ARTEMIS project. Building upon the architectural baseline established in Deliverable D9.1, it documents the first implementation phase of the ARTEMIS service ecosystem and demonstrates how the initial service design has evolved into an operational, modular and integration-ready platform. The services developed within WP9 constitute the functional backbone of the ARTEMIS infrastructure. They enable heterogeneous software components, sensors, simulation engines, immersive environments and semantic resources to operate together through a common service architecture supporting monitoring, analysis, simulation, visualisation, collaboration and decision support across multiple cultural heritage scenarios. Service implementation has been carried out in close coordination with other ARTEMIS work packages. WP7 provides the infrastructure, authentication mechanisms and semantic foundations on which several services depend, while WP11 ensures that service development remains aligned with the functional requirements emerging from the pilot portfolio. This collaborative approach has progressively transformed the initial service architecture into an implementation-ready ecosystem capable of supporting future pilot validation. Compared with Deliverable D9.1, the ARTEMIS service catalogue has significantly expanded and matured. 26 new service entries have been introduced, mainly across the IoCT, Simulation and AR/VR domains, while several existing services have been refined to improve interoperability, scalability, security and platform integration. Earlier implementation choices have also been revised where more effective architectural solutions emerged during software development. The ARTEMIS ecosystem is organised around five complementary service families: IoCT and IoT Services, providing connectivity with sensors, devices and monitoring infrastructures; Simulation Services, supporting predictive analysis, environmental modelling and scenario evaluation; AR/VR Services, enabling immersive visualisation and collaborative interaction; Knowledge and Hypertext Services, organising contextual information and semantic relationships; Cataloguing Services, whose implementation will be completed during WP10 following the consolidation of the ARTEMIS ontology and Knowledge Base described in Deliverable D7.2. Together, these services establish the technological foundation required to connect cultural heritage assets with digital monitoring, simulation, immersive collaboration and knowledge management. Rather than representing isolated software components, they form a reusable ecosystem that supports different pilot scenarios while maintaining a common architectural framework. D9.2 therefore marks an important transition in the ARTEMIS project lifecycle. It documents the evolution from architectural design to operational implementation and establishes the technical baseline that will be further integrated, validated and released during WP10 – Services Revision and Use, where the service ecosystem will be assessed through real pilot deployments.","url":"https://doi.org/10.5281/zenodo.22095327","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Service design"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095327","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19499049","name":"Design. Simulate. Machine. Validate.  A Digital Twin Workflow for Helical Gears","source":"datacite","abstract":"The design and manufacturing of high-performance helical gears require an integrated approach that bridges the gap between virtual simulation and physical reality. This paper presents a comprehensive digital twin workflow encompassing four interconnected phases: (1) precise CAD modeling using SolidWorks 2022, (2) static and dynamic finite element analysis (FEA) using ANSYS Workbench 2022 across four candidate materials aluminum alloy (6061-T6), alloy steel (AISI 4140), bronze (C93200), and nylon (PA66), (3) development of an artificial neural network (ANN) surrogate model achieving a 32,000× computational speedup with R² > 0.94, and (4) CNC machining of a physical prototype with 96.5% simulation-to-physical validation accuracy. The digital twin framework enables real-time performance prediction, design optimization, and manufacturing validation within a unified ecosystem. Results demonstrate that alloy steel provides optimal strength-to-weight characteristics (96.5 MPa equivalent stress, 0.0082 mm maximum deformation, 3,120 Hz first natural frequency, factor of safety = 6.42), while the ANN surrogate enables millisecond-level stress and frequency predictions suitable for embedded deployment on devices ranging from laptops to Raspberry Pi microcomputers. Strain gauge measurements on the CNC prototype confirmed simulation predictions within 3.5% error. The proposed methodology constitutes a scalable, industry-ready digital twin framework applicable to any rotary power transmission component.","url":"https://doi.org/10.5281/zenodo.19499049","authors":["Ms. Shazia Anwar, Abdul Kareem ,  Md. Adnan Uddin , Ismail Jaffer Fareed, Dr M.Udaya kumar"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19499049","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.19499050","name":"Design. Simulate. Machine. Validate.  A Digital Twin Workflow for Helical Gears","source":"datacite","abstract":"The design and manufacturing of high-performance helical gears require an integrated approach that bridges the gap between virtual simulation and physical reality. This paper presents a comprehensive digital twin workflow encompassing four interconnected phases: (1) precise CAD modeling using SolidWorks 2022, (2) static and dynamic finite element analysis (FEA) using ANSYS Workbench 2022 across four candidate materials aluminum alloy (6061-T6), alloy steel (AISI 4140), bronze (C93200), and nylon (PA66), (3) development of an artificial neural network (ANN) surrogate model achieving a 32,000× computational speedup with R² > 0.94, and (4) CNC machining of a physical prototype with 96.5% simulation-to-physical validation accuracy. The digital twin framework enables real-time performance prediction, design optimization, and manufacturing validation within a unified ecosystem. Results demonstrate that alloy steel provides optimal strength-to-weight characteristics (96.5 MPa equivalent stress, 0.0082 mm maximum deformation, 3,120 Hz first natural frequency, factor of safety = 6.42), while the ANN surrogate enables millisecond-level stress and frequency predictions suitable for embedded deployment on devices ranging from laptops to Raspberry Pi microcomputers. Strain gauge measurements on the CNC prototype confirmed simulation predictions within 3.5% error. The proposed methodology constitutes a scalable, industry-ready digital twin framework applicable to any rotary power transmission component.","url":"https://doi.org/10.5281/zenodo.19499050","authors":["Ms. Shazia Anwar, Abdul Kareem ,  Md. Adnan Uddin , Ismail Jaffer Fareed, Dr M.Udaya kumar"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19499050","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"doi:10.5281/zenodo.20556469","name":"Valuation of digital twins in wind energy through a common classification system","source":"datacite","abstract":"Digital twins are being increasingly used in wind energy for a wide number of applications including simulating wind patterns and energy yield to identify optimal locations, creating digital replicas of turbines for anomaly detection and diagnostics, testing new blade shapes in a digital wind tunnel, and simulating financial performance under multiple environmental, regulatory, and operational scenarios to assess investment risk and optimise portfolio decisions [1]. However, digital twins are still at the early adoption stage in the wind energy sector. Adoption is uneven across markets, and value quantification is still challenging. This is due to the complex, long-term benefits, the lack of standardised metrics, the dynamic technology landscape, and the difficulty of separating the impact of the digital twin from other concurrent improvements [2]. The first step towards value quantification, and increased adoption, is to agree upon a method of digital twin classification. This would provide clarity and consistency in a field where terms such as “digital model,” “digital shadow,” and “digital twin” are often used ambiguously. By positioning digital twins along dimensions such as automation, fidelity, lifecycle stage, and functionality, their maturity can be benchmarked. This supports clearer valuation and return-on-investment assessments and guides development roadmaps by showing how digital twins can evolve from prototypes to high-value operational tools. Standardised categories improve interoperability across assets and enable concise communication of scope and capabilities, facilitating decision-making and accelerating adoption. In this work, we introduce the Digital Twins Taxonomy (DITTA), a lightweight, SKOS-based ontology that describes digital twin types. We then make a suggestion for high-potential digital twin use cases, and suggest the dimensions of the digital twin type from the DITTA for each use case. This forms the basis for a new Recommended Practice on the Classification and Valuation of Digital Twins in Wind Energy.","url":"https://doi.org/10.5281/zenodo.20556469","authors":["Marykovskiy, Yuriy","Jain, Avni","Barber, Sarah"],"tags":["Wind power","Wind power"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20556469","addedAt":"2026-09-01T01:47:35.440Z","updatedAt":"2026-09-01T01:47:35.440Z"},{"id":"oa:W4405113405","name":"From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins","source":"openalex","abstract":"The impacts of climate change on agricultural production are becoming more severe, leading to increased food insecurity. Adopting more progressive methodologies, like smart farming instead of conventional methods, is essential for enhancing production. Consequently, livestock production is swiftly evolving towards smart farming systems, propelled by rapid advancements in technology such as cloud computing, the Internet of Things, big data, machine learning, augmented reality, and robotics. A Digital Twin (DT), an aspect of cutting-edge digital agriculture technology, represents a virtual replica or model of any physical entity (physical twin) linked through real-time data exchange. A DT conceptually mirrors the state of its physical counterpart in real time and vice versa. DT adoption in the livestock sector remains in its early stages, revealing a knowledge gap in fully implementing DTs within livestock systems. DTs in livestock hold considerable promise for improving animal health, welfare, and productivity. This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. Similarly, the study outlines their possible applications and effects on livestock and the challenges and limitations, including concerns about data privacy, the necessity for high-quality data to ensure accurate simulations and predictions, and the intricacies involved in integrating various data sources. Finally, the paper delves into the possibilities of digital twins in livestock, emphasizing potential paths for future research and progress.","url":"https://doi.org/10.3390/agriculture14122231","authors":["Elanchezhian Arulmozhi","Nibas Chandra Deb","Niraj Tamrakar","Dae Yeong Kang","Myeong Yong Kang","Junghoo Kook","Jayanta Kumar Basak","Hyeon Tae Kim"],"tags":["Livestock","Computer science","Agriculture","Cloud computing","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-06","doi":"https://doi.org/10.3390/agriculture14122231","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4385453342","name":"A Hierarchical Digital Twin Network for Satellite Communication Networks","source":"openalex","abstract":"Satellite communication networks promise to provide seamless global coverage in the 6G era. However, novel satellite networks face the challenges of high dynamics in terms of both communication and networking, which makes its design, emulation, deployment, and maintenance over-complicated. For these challenges, Digital Twin (DT) can establish a virtual replica of the physical system, providing a means of emulation, validation, prediction, and troubleshooting for the actual system whose benefits have been proven by many applications. In this work, we design a hierarchical digital twin network for satellite communication networks, which defines central-DT and edge-DT models that provide differentiated DT services such as communication DT and networking DT. Further, for the problem of model synchronization, we propose three approaches to improve the model synchronization efficiency, namely, dynamic DT migration, QoS-aware DT synchronization slice, and locator-identifier-isolation addressing mechanism. Simulation is conducted to validate the improvement of the proposed scheme, and provide proof of efficiency.","url":"https://doi.org/10.1109/mcom.001.2200864","authors":["Yuke Zhou","Ran Zhang","Jiang Liu","Tao Huang","Qinqin Tang","F. Richard Yu"],"tags":["Computer science","Distributed computing","Computer network","Emulation","Communications satellite"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-01","doi":"https://doi.org/10.1109/mcom.001.2200864","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3021361523","name":"Digital Twin for Operations - Present Applications and Future Digital Thread","source":"openalex","abstract":"Abstract We present a structural digital twin system based on component-based parametric reduced order modeling using Reduced Basis Finite Element Analysis (RB-FEA) framework. This enables fast, detailed, and holistic modeling of large-scale structures, such as floating and fixed production and drilling platforms, and crucially, the digital twin's parametric nature and fast solve time enables the system to be connected seamlessly with inspection and sensor data. We demonstrate RB-FEA based structural digital twins, and capabilities for connecting them to sensor data and data science methods to increase predictive power and engineering insight. We show how the digital twin is a key enabler for a Digital Thread – a data-driven architecture that links together information generated from across the product lifecycle. Inspection data, such as thickness measurements, can be directly mapped into the structural digital twin. Sensor data, such as motion and strain can be transformed into loading data, e.g. to estimate sea-states and calculate stress and fatigue accumulation based on actual conditions, or to \"tune\" model parameters to match data-based measurements, such as mode shapes and frequencies. This enables continuous tracking of the asset and assessment of its current state, based on quantitative and detailed structural analysis, at any time. Ultimately the structural digital twin provides an interpretation layer for integration of monitoring and inspection data, leading to a fully automated digital thread. We present a framework, based on a cloud-based simulation platform and Python-based scripting, to automate the workflows listed above. Digital twin provides a single source of truth about asset condition and allows data driven communication and decision taking between multiple stakeholders – operators, contractors, regulators, etc. We will show examples of real-world applications of RB-FEA digital twin for FPSO and Jacket platforms and development work for digital thread with emphasis on data driven value creation along the entire life cycle of the asset. The Reduced Basis FEA based structural digital twin is a key enabler of data driven digital thread in addition to sensor frameworks and data science systems. RB-FEA provides fast, parametric, and physics-based analysis providing a transparent interpretation layer for data obtained from other systems. It provides a key element allowing knowledge management along asset lifecycle – from concept to decommissioning. High fidelity, physics based global simulations, such as RB-FEA digital twins, are a key enabler for effective digital transformation of industrial operations. They enable real-time insights into asset performance that are otherwise unattainable, providing tools for Asset Integrity Management, Risk Based Inspection, Automation and Optimization of Operations as well as enabling full digital thread enhancing Safety and CAPEX and OPEX.","url":"https://doi.org/10.4043/30553-ms","authors":["Mat Podskarbi","David J. Knezevic","David J Knezevic"],"tags":["Computer science","Workflow","Scripting language","Thread (computing)","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-30","doi":"https://doi.org/10.4043/30553-ms","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"oa:W2806547533","name":"Finding Meaning, Application for the Much-Discussed “Digital Twin”","source":"openalex","abstract":"Among the many buzzy, digitally related words or terms bandied about the industry over the past year or two, “digital twin” serves as something of a confluence of them all. Populating many industry conference agendas are high-level presentations and discussions with descriptors such as digitization, digitalization, digital transformation, and the digital disruption, which involve big data, data analytics, advanced analytics, artificial intelligence (AI), machine learning, automation, the Internet of Things (IoT), and the ever-important, abundantly abstract cloud. Some of those terms are used rather broadly and inter-changeably, leading many to wonder: What exactly are we talking about here? The definition of a digital twin is similarly less finite, but it is rather easy to conceptualize at a basic level. The technology links the physical world with the digital world, providing a digital model of a physical asset or process. It serves as a real-time data hub for its owner, allowing for reference to designed or expected performance and continuous offsite monitoring. Roots of the idea can be traced back to a similarly challenging sector that is tasked with exploring and operating in harsh environments normally inaccessible by humans. Successful space travel requires complex modeling and simulations, which NASA for decades has employed from its field centers on the ground. Michael Grieves, currently executive director of Florida Institute of Technology, brought the term to the fore during the early 2000s while working in the University of Michigan’s college of engineering, but he credits the coinage to his one-time NASA colleague and technologist John Vickers. Multinational conglomerates such as GE and Siemens have deployed the twin in everything from jet engines to power plants. The architectural engineering and automotive manufacturing industries are also mature in their use of digital twin. The digital twin in the building industry is referred to as the building information model. Traditionally slow on the uptake when it comes to implementing new technologies, the oil and gas industry is beginning to put the twin to work on its equipment, facilities, and wells with the promise of more efficient engineering, procurement, construction (EPC), and operations. The virtual hub is envisioned as a way of breaking down silos between work phases, operators and contractors, and the different industry disciplines—such as geophysics and reservoir engineering—required to carry out upstream projects.","url":"https://doi.org/10.2118/0618-0026-jpt","authors":["Matt Zborowski"],"tags":["Digitization","Wonder","Analytics","Computer science","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-06-01","doi":"https://doi.org/10.2118/0618-0026-jpt","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3040780755","name":"Machine Learning for Digital Twins to Predict Responsiveness of Cyber-Physical Energy Systems","source":"openalex","abstract":"Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze and predict these systems in the form of digital reflections that operate in parallel with the physical system. In this paper, we use Machine Learning to improve the predictive power of Digital Twins for Cyber-Physical Energy Systems. Specifically, we use a Temporal Convolutional Neural Network model to learn the temporal patterns in the system and predict its responsiveness to specific power setpoint instructions. Real-life data from ten batteries were used to predict the behavior over time. Compared to the baseline model that uses the prior probability of response and the average response rate within the configured time window, the model predicts the batteries’ responsiveness more accurately. The more temporal information is used as input for prediction, the better the model performs in both precision and recall. The results show that this compensates for the lack of information when fewer metrics are used. The use of Machine Learning for Digital Twins can help maintain a heterogeneous energy ecosystem, while minimizing the need to acquire or disclose detailed information.","url":"https://doi.org/10.1109/mscpes49613.2020.9133695","authors":["Ron Snijders","Paolo Pileggi","Jeroen Broekhuijsen","Jacques Verriet","Marco Wiering","Koen Kok"],"tags":["Computer science","Cyber-physical system","Energy (signal processing)","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-01","doi":"https://doi.org/10.1109/mscpes49613.2020.9133695","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4380790421","name":"The Green and Digital Twin Transition: EU vs US Firms","source":"openalex","abstract":"Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.","url":"https://doi.org/10.2478/ie-2023-0010","authors":["Reinhilde Veugelers","Clémence Faivre","Désirée Rückert","Christoph Weiss"],"tags":["Variety (cybernetics)","Publication","Publishing","Social policy","Transition (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2478/ie-2023-0010","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4401246740","name":"A Review of Digital Twinning for Rotating Machinery","source":"europepmc","abstract":"This review focuses on the definitions, modalities, applications, and performance of various aspects of digital twins (DTs) in the context of transmission and industrial machinery. In this regard, the context around Industry 4.0 and even aspirations for Industry 5.0 are discussed. The many definitions and interpretations of DTs in this domain are first summarized. Subsequently, their adoption and performance levels for rotating and industrial machineries for manufacturing and lifetime performance are observed, along with the type of validations that are available. A significant focus on integrating fundamental operations of the system and scenarios over the lifetime, with sensors and advanced machine or deep learning, along with other statistical or data-driven methods are highlighted. This review summarizes how individual aspects around DTs are extremely helpful for lifetime design, manufacturing, or decision making even when a DT can remain incomplete or limited.","url":"https://doi.org/10.3390/s24155002","authors":["Vamsi Inturi","Bidisha Ghosh","G. R. Sabareesh","Vikram Pakrashi"],"tags":["Context (archaeology)","Modalities","Industry 4.0","Focus (optics)","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.3390/s24155002","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W3177875651","name":"Automatic Generation of Digital Twin Based on Scanning and Object Recognition","source":"openalex","abstract":"Digital Twin has been recognized as a strategic approach in the modern manufacturing industry to improve both the flexibility and the efficiency. To efficiently generate the Digital Twin of an existing real object in the factory, powerful methods are necessary. Hereby, a fast data acquisition including object recognition and model reconstruction methodology has been combined to resolve these issues. Such a data set often has to replace the missing original digital model. Subsequently, a model reconstruction plan has to be derived so that an editable CAD model, which fulfils process requirements, can be generated using standard geometry creation tools. Such a reverse-engineered CAD model preferably contains form-feature based design intent and can be easily modified due to new design and manufacturing constraints. The presented paper describes an industrial approach for a commercial service being in the implementation to generate the Digital Twin based on fast scanning on a factory.","url":"https://doi.org/10.3233/atde190174","authors":["Markus Sommer","Josip Stjepandić","Sebastian Stobrawa","Moritz von Soden"],"tags":["CAD","Factory (object-oriented programming)","Flexibility (engineering)","Computer science","Object (grammar)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-07","doi":"https://doi.org/10.3233/atde190174","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3104605804","name":"Smart-Guided Pedestrian Emergency Evacuation in Slender-Shape Infrastructure with Digital Twin Simulations","source":"openalex","abstract":"Rapid exploitation of city underground space has led to the development of increasingly more underground slender-shape infrastructure like pedestrian tunnels, concourses, subway walkways, underground shopping streets, etc. Pedestrian evacuation in those public places in case of emergency can be disastrous if not properly guided. Therefore, it is important to understand how to enhance the evacuation efficiency through proper active guidance. In this study, we propose a digital twin based guiding system for pedestrian emergency evacuation inside a slender-shape infrastructure, aiming at enhancing the overall evacuation efficiency. Composition and calibration process of the guiding system are described, and a cellular automata based model is established to serve as the digital twin model. Two guidance strategies, namely traditional fixed guidance and smart guidance, are adopted by the digital twin to generate guidance instructions. A smart guidance strategy using a semi-empirical approach is proposed based on the understanding of the free movement and congested movement of pedestrian flow. Systems under different guiding strategies are compared and discussed over their effectiveness to promote excavation efficiency in different pedestrian population distribution settings. The simulation results show that a system under smart guidance tends to have shorter evacuation time (up to 23.8% time saving) and performs with more stability for pedestrian evacuations over the traditional fixed guided systems. The study provides insight for potential real applications of a similar kind.","url":"https://doi.org/10.3390/su12229701","authors":["Tianran Han","Jianming Zhao","Wenquan Li"],"tags":["Pedestrian","Emergency evacuation","Computer science","Cellular automaton","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-20","doi":"https://doi.org/10.3390/su12229701","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4389348477","name":"Digital Twins in Design and Construction","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-99-5804-7_5","authors":["Wenjuan Wang","Qasim Zaheer","Shi Qiu","Weidong Wang","Chengbo Ai","Jin Wang","Sicheng Wang","Wenbo Hu"],"tags":["Engineering","Relevance (law)","Construction industry","Quality (philosophy)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-05","doi":"https://doi.org/10.1007/978-981-99-5804-7_5","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3169672641","name":"Case study for design optimization using the digital twin approach","source":"openalex","abstract":"To ensure the mechanical load capability of new products, diverse strength analysis methods have to be used while the product design process (e.g. FEA). The main objective of these methods is the predictive analysis and determination of the operational load of the product. Based on this analysis, the structure and the topology of the product can be set adequately in terms of an optimal material utilization and load factor. Nowadays, the mechanical structure analysis can only be done based on estimated loading data, which are determined using approximative theoretical calculation methods. Furthermore, this approach does not consider the actual use and load of the product in the field. As a consequence, inaccurate determination of the material stress and product dimensioning can be accrued in most instances. To compensate this incertitude, design engineers set a high safety factor while designing new products, which lead to over-dimensioning of the products and to wasteful use of material and resources. Thanks to powerful sensors, data transmission and data processing technologies, it becomes nowadays easy to collect operating data of technical systems and process and to present and process them using a digital model in real time. This approach is known as digital twin. Using the digital twin concept an integrated and a comprehensive data model as image of real systems and processes with continuously update can be created. This approach opens new prospects within the design process of technical systems in terms of efficiency and sustainability. This paper will present and discuss a case study for the application of the digital twin approach within the product design. The aim of the case study is the investigation of the digital twin concept to obtain the material stress and load from the product operation accurately and to use them for load-oriented and efficient product design.","url":"https://doi.org/10.1016/j.procir.2021.05.129","authors":["Fahmi Bellalouna"],"tags":["Dimensioning","Process (computing)","Computer science","Product (mathematics)","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.05.129","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4200568364","name":"Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load","source":"openalex","abstract":"The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.","url":"https://doi.org/10.3390/pr9122224","authors":["Jeroen D. M. De Kooning","Kurt Stockman","Jeroen De Maeyer","Antonio Jarquin Laguna","Lieven Vandevelde"],"tags":["Replica","Computer science","Turbine","Finite element method","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-09","doi":"https://doi.org/10.3390/pr9122224","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4200117445","name":"A Hierarchical Integrated Modeling Method for the Digital Twin of Mechanical Products","source":"openalex","abstract":"With the development of information and communication technology, massive amounts of data are generated during the entire lifecycle of mechanical products. However, their isolated and fragmented state hinders further empowerment of smart manufacturing. Digital twins have attracted considerable attention as they enable a user to rebuild all elements of a physical entity in a virtual space, targeted at the effective fusion of data from multiple sources with different formats, while its modeling method still needs further research. In this context, we propose a native, full-element digital twin modeling method for mechanical products. This ontology-based method establishes a unified and computer-understandable model framework for mechanical products by abstracting the essential content and relationships of data and by storing them in a graph database efficiently. The developed model could serve as a data center for the entire lifecycle of the product or could be combined with existing data management systems, integrating the previously isolated, fragmented, and scattered data on various platforms. In addition, the model utilizes the structural characteristics of mechanical products and is developed as a hierarchical digital mapping to better meet the application requirements. Finally, a case study of a helicopter digital twin is presented to verify the proposed method.","url":"https://doi.org/10.3390/machines10010002","authors":["Menglei Zheng","Ling Tian"],"tags":["Computer science","Ontology","Context (archaeology)","Graph","Product data management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-21","doi":"https://doi.org/10.3390/machines10010002","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4406064151","name":"Digital twin-based architecture for wire arc additive manufacturing using OPC UA","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102944","authors":["Mohammad Mahruf Mahdi","Mahdi Sadeqi Bajestani","Sang Do Noh","Duck Bong Kim"],"tags":["Arc (geometry)","Architecture","Computer science","Engineering","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-04","doi":"https://doi.org/10.1016/j.rcim.2024.102944","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2966062697","name":"Embedded Digital Twin for ARTI-Type Control of Semi-continuous Production Processes","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-27477-1_9","authors":["Theodor Borangiu","Virginia Ecaterina Oltean","Silviu Răileanu","Florin Anton","Silvia Anton","Iulia Iacob"],"tags":["Supervisor","Process (computing)","Computer science","Robustness (evolution)","Process control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-02","doi":"https://doi.org/10.1007/978-3-030-27477-1_9","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3034867337","name":"IoT-based Mine Ventilation Control System Architecture with Digital Twin","source":"openalex","abstract":"The paper considers a dynamic ventilation system of the underground mining. The research is relevant from the point of view of safety and energy saving of mining operations, since the process of ventilation of underground mining companies consumes from 30 to 50% of all company electricity. Existing methods of ventilation control often do not ensure rational energy consumption, as they do not take into account the dynamics of air distribution and changes in environmental parameters. The proposed method includes basic algorithms for calculating the interrelationship of physical parameters of general natural draught between the trunks. The method includes: calculation of the draught’s power; calculation of productivity and the choice of the required mode of operation for the main fan unit (MFU) considering the inertia of the ventilation system; dynamic calculation of the control signal on the fan unit taking into account the impact of the general natural draught. The method is focused on the implementation of the TICK stack used to create IoT applications as part of the Cyber-Physical System (CPS) for ventilation based on the InfluxData platform. The proposed CPS architecture consists of four subsystems: physical object subsystem, IoT network and computing infrastructure - ICT infrastructure, digital twin, user interface. CPS architecture provides processing of data from energy meters, controllers and air environment parameters, implemented in on-line and off-line calculation units.","url":"https://doi.org/10.1109/icieam48468.2020.9111995","authors":["А. В. Кычкин","А.В. Николаев"],"tags":["Computer science","Internet of Things","Architecture","Ventilation (architecture)","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-01","doi":"https://doi.org/10.1109/icieam48468.2020.9111995","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4396521016","name":"A cyclic and holistic methodology to exploit the Supply Chain Digital Twin concept towards a more resilient and sustainable future","source":"openalex","abstract":"Recent major disruptions such as natural disasters, geopolitical tensions, Covid-19 pandemic have led supply chain managers to rethink strategies for achieving significant levels of sustainability and resilience. At the same time, new digital technologies are offering significant opportunities to increase company performance, while maintaining a high level of customer service. In this challenging context, the Supply Chain Digital Twin (SCDT) represents an emerging and promising concept, which deserves to be explored. In this paper, a holistic and cyclical methodology, based on simulation, is proposed to enable and exploit the SCDT Paradigm, with the main aim to increase sustainability and resilience of the chains. The proposed methodology is successfully tested and validated on a real case study in the agri-food sector, through the use of the anyLogistix software. The results return valuable information on the level of resilience of the supply chain in the face of any considered disruption and provide useful managerial insights on the actions to be taken to improve some performance indicators.","url":"https://doi.org/10.1016/j.clscn.2024.100154","authors":["Antonio Cimino","Francesco Longo","Giovanni Mirabelli","Vittorio Solina"],"tags":["Exploit","Supply chain","Sustainability","Resilience (materials science)","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-30","doi":"https://doi.org/10.1016/j.clscn.2024.100154","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4386203678","name":"Cloud-Based Digital Twins’ Storage in Emergency Healthcare","source":"openalex","abstract":"Abstract In a medical emergency situation, real-time patient data sharing may improve the survivability of a patient. In this paper, we explore how Digital Twin (DT) technology can be used for real-time data storage and processing in emergency healthcare. We investigated various enabling technologies, including cloud platforms, data transmission formats, and storage file formats, to develop a feasible DT storage solution for emergency healthcare. Through our analysis, we found Amazon AWS to be the most suitable cloud platform due to its sophisticated real-time data processing and analytical tools. Additionally, we determine that the MQTT protocol is suitable for real-time medical data transmission, and FHIR is the most appropriate medical file storage format for emergency healthcare situations. We propose a cloud-based DT storage solution, in which real-time medical data are transmitted to AWS IoT Core, processed by Kinesis Data Analytics, and stored securely in AWS HealthLake. Despite the feasibility of the proposed solution, challenges such as insufficient access control, lack of encryption, and vendor conformity must be addressed for successful practical implementation. Future work may involve Hyperledger Fabric technology and HTTPS protocol to enhance security, while the maturation of DT technology is expected to resolve vendor conformity issues. By addressing these challenges, our proposed DT storage solution has the potential to improve data accessibility and decision-making in emergency healthcare settings.","url":"https://doi.org/10.1007/s44227-023-00011-y","authors":["Erdan Wang","Pouria Tayebi","Yeong-Tae Song"],"tags":["Computer science","Cloud computing","Vendor","Cloud storage","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-27","doi":"https://doi.org/10.1007/s44227-023-00011-y","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4315702361","name":"Traffic flow digital twin generation for highway scenario based on radar-camera paired fusion","source":"openalex","abstract":"Autonomous driving is gradually moving from single-vehicle intelligence to internet of vehicles, where traffic participants can share the traffic flow information perceived by each other. When the sensing technology is combined with the internet of vehicles, a sensor network all over the road can provide a large-scale of traffic flow data, thus providing a basis for building a traffic digital twin model. The digital twin can enable the traffic system not only to use past and present information, but also to predict traffic conditions, providing more effective optimization for autonomous driving and intelligent transportation, so as to make long-term rational planning of the overall traffic state and enhance the level of traffic intelligence. The current mainstream traffic sensors, namely radar and camera, have their own advantages, and the fusion of these two sensors can provide more accurate traffic flow data for the generation of digital twin model. In this paper, an end-to-end digital twin system implementation approach is proposed for highway scenarios. Starting from a paired radar-camera sensing system, a single-site radar-camera fusion framework is proposed, and then using the definition of a unified coordinate system, the traffic flow data between multiple sites is combined to form a dynamic real-time traffic flow digital twin model. The effectiveness of the digital twin building is verified based on the real-world traffic data.","url":"https://doi.org/10.1038/s41598-023-27696-z","authors":["Yanbing Li","Weichuan Zhang"],"tags":["Computer science","Fusion","Radar","Computer vision","Computer graphics (images)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-12","doi":"https://doi.org/10.1038/s41598-023-27696-z","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4380269429","name":"Shifting focus of value creation through industrial digital twins—From internal application to ecosystem-level utilization","source":"openalex","abstract":"Industrial organizations are increasingly using digital twins as the solutions offered by digital twin service providers are rapidly expanding. This study aims to investigate how the value creation mechanism changes when transitioning from an organizational digital twin to an ecosystem-level digital twin that functions as a two-sided or multi-sided platform. The study results are based on the multiple longitudinal case studies conducted in Finland, where data were gathered using various methods and replications across the cases were conducted to investigate the same phenomenon. The study makes the following main contributions: (1) although the focus of value creation through digital twins at the level of machines/production lines highlights a technological approach, value creation is increasingly complemented with a human approach when digital twins are used as factory-level internal platforms. (2) Owing to the well-recognized value creation logic in internal use, industrial organizations are inclined to expand their value creation beyond organizational boundaries and establish two-sided and multi-sided platforms around their digital twins. (3) Forerunner organizations are also looking for opportunities to establish multi-sided platforms around their digital twins even though they are not yet ready to shift their value creation logic from internal to ecosystem-level utilization.","url":"https://doi.org/10.1016/j.technovation.2023.102795","authors":["Tero Rantala","Juhani Ukko","Mina Nasiri","Minna Saunila"],"tags":["Value (mathematics)","Value creation","Service-dominant logic","Business","Factory (object-oriented programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-10","doi":"https://doi.org/10.1016/j.technovation.2023.102795","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4293499260","name":"Three-Dimension Digital Twin Reference Architecture Model for Functionality, Dependability, and Life Cycle Development Across Industries","source":"openalex","abstract":"The Digital Twin concept promises numerous applications across industries and its physical twin’s entire life cycle. Although numerous architectures have been proposed to develop and describe the setup of Digital Twin applications, current Digital Twin architectures do not address the versatile cross-industry character of the Digital Twin concept, its safety, security, and privacy aspects, and are often use case-specific and inflexible. We propose a three-dimensional Digital Twin reference architecture model for application across industries, considering functionality, dependability, and life cycle aspects. Our model provides practitioners a common platform to develop and discuss Digital Twin applications of different complexities and dependability aspects along varying life cycles and independent of the industry. Its applicability is validated and showcased by examples from the fields of mechatronic products, healthcare, construction, transportation, astronautics, and the energy sector. We compare our reference architecture model to existing architectures, discuss its advantages and limitations, and position the model within previous literature.","url":"https://doi.org/10.1109/access.2022.3202941","authors":["Sebastian Richard Newrzella","David W. Franklin","Sultan Haider"],"tags":["Dependability","Computer science","Reference architecture","Architecture","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3202941","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4389242646","name":"Predictive maintenance of standalone steel industrial components powered by a dynamic reliability digital twin model with artificial intelligence","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ress.2023.109859","authors":["Diego D’Urso","Ferdınando Chıacchıo","Salvatore Cavalieri","Salvatore Gambadoro","Soheyl Moheb Khodayee"],"tags":["Reliability (semiconductor)","Computer science","Artificial intelligence","Machine learning","Monte Carlo method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-01","doi":"https://doi.org/10.1016/j.ress.2023.109859","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4386275697","name":"When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach","source":"openalex","abstract":"With rapid development of emerging technologies for Internet of Things (IoT), digital twins (DT) have been proposed to support a wide variety of applications. A mobile network is expected to be integrated with DT to form a DT mobile network (DTMN). Unfortunately, DTMN still faces security threats, which have attracted great research attention. Current defense mechanisms are mostly static, i.e., responding after attacks happening. To solve the aforementioned problem, moving target defense (MTD) has been proposed as an innovative solution. However, there exist three major challenges when applying MTD into DTMN. Firstly, less emphasis was paid to collaborative scheduling between multiple MTD schemes, which can improve the security of DTMN. Secondly, MTD schemes require lots of network resources, but few works focus on the time allocation of multiple MTD schemes to reduce network resource consumption. Thirdly, existing defense strategies only rely on current information, but do not consider future information. In this paper, we propose a collaborative mutation-based MTD (CM-MTD) in DTMN. We mainly consider two MTD schemes called host address mutation (HAM) and route mutation (RM), respectively, which adjust network properties and invalidate different stages of cyber kill chain. We firstly formulate a semi-Markov decision process (SMDP) to model time-varying security events and dynamic deployment of multiple MTD schemes. Then, security events are predicted by long short-term memory (LSTM), which are regarded as network states in SMDP. Next, infeasible actions that do not satisfy network constraints will be removed from the action space of the SMDP. Lastly, we design a hierarchical deep reinforcement learning algorithm for collaborative scheduling. Simulation results highlight the effectiveness of CM-MTD compared with baseline solutions.","url":"https://doi.org/10.1109/jsac.2023.3310072","authors":["Tao Zhang","Changqiao Xu","Yibo Lian","Haijiang Tian","Jiawen Kang","Xiaohui Kuang","Dusit Niyato"],"tags":["Computer science","Reinforcement learning","Network security","Scheduling (production processes)","Cellular network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-30","doi":"https://doi.org/10.1109/jsac.2023.3310072","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4367836152","name":"A review study on digital twins with artificial intelligence and internet of things: concepts, opportunities, challenges, tools and future scope","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11042-023-15611-7","authors":["Samar M. Zayed","Gamal Attiya","Ayman El‐Sayed","Ezz El‐Din Hemdan"],"tags":["Computer science","Panacea (medicine)","Scope (computer science)","Theme (computing)","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-03","doi":"https://doi.org/10.1007/s11042-023-15611-7","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4386275873","name":"Ultra-Low AoI Digital Twin-Assisted Resource Allocation for Multi-Mode Power IoT in Distribution Grid Energy Management","source":"openalex","abstract":"Age of information (AoI) is an important metric of information timeliness, which determines digital twin (DT) consistency and energy management precision. However, AoI guarantee in the time-averaged sense is unreliable to avoid the occurrence of extreme event. In this paper, we propose a novel information timeliness metric named ultra-low AoI (ULAoI). Compared with AoI, ULAoI further considers the occurrence of extreme event and higher-order statistical characteristics of excess AoI value. Multi-dimensional resources of power internet of things (PIoT) are jointly allocated to achieve ULAoI guarantee from the perspective of sensing-communication-control integration. ULAoI-DT-Prioritized deep Q network (DQN) is proposed to achieve coordinated resource allocation by approximating unobservable information with the assistance of ULAoI-DT, and preventing DQN training from using samples with large AoI based on ULAoI-induced priority. Simulation results demonstrate the superior performance of the proposed algorithm in global loss function, ULAoI guarantee, and energy management optimality.","url":"https://doi.org/10.1109/jsac.2023.3310101","authors":["Haijun Liao","Zhenyu Zhou","Zehan Jia","Yiling Shu","Muhammad Tariq","Jonathan Rodrı́guez","Valerio Frascolla"],"tags":["Computer science","Metric (unit)","Real-time computing","Unobservable","Performance metric"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-30","doi":"https://doi.org/10.1109/jsac.2023.3310101","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3092576499","name":"Digital-twin-driven production logistics synchronization system for vehicle routing problems with pick-up and delivery in industrial park","source":"openalex","abstract":"With the continuous pressures on customized requirements demands, large-scale multiple-stage production systems in industrial parks are suffering from the complex dynamic impact of uncertainties. These uncertainties are caused by the randomness of customer orders, dynamics of production demand, the uncertainty of production resources, etc. It brings enormous challenges to system operation and decision-making for the Production Logistics (PL) system, which includes how to acquire the full-scale, accurate and real-time execution status of the PL system, and how to make a systematic and adaptability decision by synchronizing every stage in the system under the uncertainties. Taking the PL system of an industrial park as the research object, this paper analyses the problems and challenges in the operation mode of the transportation stage, the perception of dynamics, and the synchronization management and control between the related stages in the dynamic environment. Then the mode of Vehicle Routing Problems with Pick-up and Delivery (VRPDP) is improved and a digital twin-driven decision-making information architecture is proposed, meanwhile, a real-time dynamic synchronization control mechanism is developed to synchronizing the PL system through the transportation stage. Finally, a case study is proposed to verify the feasibility and validity of the proposed method under dynamic disturbance.","url":"https://doi.org/10.1080/0951192x.2020.1829059","authors":["Yuqian Pan","Naiqi Wu","Ting Qu","Peng Li","Kelin Zhang","Hongfei Guo"],"tags":["Synchronizing","Synchronization (alternating current)","Unavailability","Adaptability","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-08","doi":"https://doi.org/10.1080/0951192x.2020.1829059","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4392988374","name":"CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10586-024-04320-x","authors":["S. Krishnaveni","Tom Chen","Mithileysh Sathiyanarayanan","B. Amutha"],"tags":["Computer science","Cyber-physical system","Resilience (materials science)","Intrusion detection system","Honeypot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-20","doi":"https://doi.org/10.1007/s10586-024-04320-x","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2953651404","name":"On Digital Twins, Mirrors and Virtualisations","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-12075-7_34","authors":["Keith Worden","Elizabeth J. Cross","Paul Gardner","Robert J. Barthorpe","David Wagg"],"tags":["sort","Representation (politics)","Computer science","Current (fluid)","Mathematical theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-30","doi":"https://doi.org/10.1007/978-3-030-12075-7_34","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4223418925","name":"Digital twin-based decision making paradigm of raise boring method","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-022-01941-0","authors":["Fuwen Hu","Xianjin Qiu","Guoye Jing","Jian Tang","Yuanzhi Zhu"],"tags":["Process (computing)","Construct (python library)","Engineering","Architecture","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-12","doi":"https://doi.org/10.1007/s10845-022-01941-0","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4210454488","name":"Design and testing of a digital twin for monitoring and quality assessment of material extrusion process","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.addma.2022.102633","authors":["Fabio Corradini","Marco Silvestri"],"tags":["Process (computing)","Interface (matter)","Fused deposition modeling","Software","3D printing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-29","doi":"https://doi.org/10.1016/j.addma.2022.102633","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4392045590","name":"Hybrid monitoring methodology: A model-data integrated digital twin framework for structural health monitoring and full-field virtual sensing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102386","authors":["Limin Sun","Haibin Sun","Wei Zhang","Yixian Li"],"tags":["Field (mathematics)","Bridge (graph theory)","Structural health monitoring","Sensor fusion","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-22","doi":"https://doi.org/10.1016/j.aei.2024.102386","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4389936980","name":"Relativistic Digital Twin: Bringing the IoT to the future","source":"openalex","abstract":"Complex IoT ecosystems often require the usage of Digital Twins (DTs) of their physical assets in order to perform predictive analytics and simulate what-if scenarios. DTs are able to replicate IoT devices and adapt over time to their behavioral changes. However, DTs in IoT are typically tailored to a specific use case, without the possibility to seamlessly adapt to different scenarios. Further, the fragmentation of IoT poses additional challenges on how to deploy DTs in heterogeneous scenarios characterized by the usage of multiple data formats and IoT network protocols. In this paper, we propose the Relativistic Digital Twin (RDT) framework, through which we automatically generate general-purpose DTs of IoT entities and tune their behavioral models over time by constantly observing their real counterparts. The framework relies on the object representation via the Web of Things (WoT), to offer a standardized interface to each of the IoT devices as well as to their DTs. To this purpose, we extended the W3C WoT standard in order to encompass the concept of behavioral model and define it in the Thing Description (TD) through a new vocabulary. Finally, we evaluated the RDT framework over two disjoint use cases to assess its correctness and learning performance, i.e., the DT of a simulated smart home scenario with the capability of forecasting the indoor temperature, and the DT of a real-world drone with the capability of forecasting its trajectory in an outdoor scenario. Experiments show that the generated DT can estimate the behavior of its real counterpart after an observation stage, regardless of the considered scenario.","url":"https://doi.org/10.1016/j.future.2023.12.016","authors":["Luca Sciullo","Alberto De Marchi","Angelo Trotta","Federico Montori","Luciano Bononi","Marco Di Felice"],"tags":["Computer science","Correctness","Internet of Things","Distributed computing","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-19","doi":"https://doi.org/10.1016/j.future.2023.12.016","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4384284075","name":"Blockchain-Based Decentralized Learning for Security in Digital Twins","source":"openalex","abstract":"This work aims to analyze malicious communication behaviors that pose a threat to the security of digital twins (DTs) and safeguard user privacy. A unified and integrated multidimensional DTs Network (DTN) architecture is constructed. On this basis, the propagation process model of malware in the network is built to analyze the malicious propagation behavior that threatens network security. This model ensures the protection of mobile distributed machine learning system security. Blockchain technology is a distributed data protection mechanism with broad prospects. It is characterized by decentralization, transparency, and anonymity, which can help ensure secure network data sharing and privacy protection. Based on this, this work designs a secure distributed data sharing (DDS) architecture based on blockchain to improve the security and reliability of data protection with the support of the Internet of Things (IoT). Then, digital resource allocation based on semi-distributed learning is examined to propose a broad learning federated continuous learning (BL-FCL) algorithm combining blockchain and DTs. This algorithm significantly speeds up the model training process. Broad learning technology supports incremental learning. In this way, each client does not need to retrain when learning the newly generated data. In the experimental part, the prediction accuracy of BL-FCL on the mixed national institute of standards and technology data set is similar to that of the FedAvg-50 and FedAvg-80 schemes. As the number of devices increases from 1 to 6, the detection probability exhibits a rapid decrease. However, as the number of devices further increases from 6 to 10, the detection probability gradually decreases at a slower rate until it reaches 0. Comparatively, the prediction accuracy of the BL-FCL outperforms the federated averaging algorithm-based scheme by 20%–60%. The BL-FCL reported here can deal with the problem of inaccurate training while ensuring the privacy and security of users. This work is of great significance for ensuring the security of the DTN and promoting the development of the digital economy. The results can provide references for applying blockchain and distributed learning in the DT field.","url":"https://doi.org/10.1109/jiot.2023.3295499","authors":["Zhihan Lv","Chen Cheng","Haibin Lv"],"tags":["Computer science","Blockchain","Computer security","Distributed computing","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-14","doi":"https://doi.org/10.1109/jiot.2023.3295499","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4316660823","name":"T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities","source":"openalex","abstract":"An efficient serving of predictive management and what-if-analysis of smart cities is the only way to achieve a net-zero waste target. With the aid of the enhanced learning capabilities of digital twin, net-zero aims of smart cities can be obtained with highly accurate results in the prediction of waste-to-energy and candidate truck paths. However, there is no unified communication model yet for a digital twin to maintain complete data and control flow in a fully synchronized way. Without having a clear communication model for the digital twin, the interaction between the physical and digital replica cannot be sustained. To handle this, we propose a digital twin networking framework called T6CONF, based on an IPv6 infrastructure, to solve the end-to-end two-way communication and synchronization problem of the resource-constrained Internet of Things networks. Besides, T6CONF serves two specific net-zero waste services, waste-to-energy and planned-truck-routing prediction services, for the net-zero goal. We evaluate the proposed digital twin communication model with changing fidelity levels over the twinning rate and round-trip time. Additionally, we prove that the proposed T6CONF model increases the accuracy of service layer operations.","url":"https://doi.org/10.1109/mcom.003.2200315","authors":["Elif Ak","Kübra Duran","Octavia A. Dobre","Trung Q. Duong","Berk Canberk"],"tags":["Computer science","The Internet","Computer network","IPv6","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-16","doi":"https://doi.org/10.1109/mcom.003.2200315","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4384521487","name":"Construction of Digital Twin System for Cold Chain Logistics Stereo Warehouse","source":"openalex","abstract":"The current stereo warehouse in the cold chain logistics industry faces problems such as high product loss rate, severe temperature deviations, and low level of informatization. To ensure the food quality and safety of cold chain logistics warehouses, and achieve cost reduction and efficiency improvement, this study focuses on the operational scenarios of stereo warehouses in cold chain logistics, and designs a five-dimensional digital twin model with full mapping and multidimensional simulation. By integrating heterogeneous data from multiple sources, it achieves real-time visualization and monitoring of all elements in warehouses, and proposes a model optimization strategy that supports system-linked decision-making. This strategy intelligently adjusts the load and thermal distribution in the temperature-controlled zones of warehouses to maximize operational efficiency and reduce operating costs. Using this approach, a digital twin system for cold chain logistics warehouses was constructed. By comparing the warehouse operation data before and after optimization, the loss rate of fresh vegetables under the same storage conditions was reduced by 25-30%. This system achieves precise mapping and coordinated operation of real-time data from cold chain logistics warehouses and dynamic virtual models. The practical application of this solution is demonstrated in a cold-chain warehouse of a supply chain company in Guangdong, forming an integrated control model for cold chain logistics warehouses. This model provides a reference for the application of digital twin technology in the operation, scheduling, decision-making, and collaborative operations of cold chain logistics warehouses and offers new possibilities for establishing improved packaging for perishable products and ensuring cold chain food quality and safety.","url":"https://doi.org/10.1109/access.2023.3295819","authors":["Hu Bin","Hui Guo","Xiongjie Tao","Yingyi Zhang"],"tags":["Cold chain","Warehouse","Supply chain","Computer science","Data warehouse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3295819","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4393146824","name":"Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability","source":"openalex","abstract":"The fusion of Internet of Things (IoT), Digital Twins, and Virtual Reality (VR) technologies marks a pivotal advancement in urban development, offering new services to citizens and municipalities in urban environments. This integration promises enhanced urban planning, management, and engagement by providing a comprehensive, real-time digital reflection of the city, enriched with immersive experiences and interactive capabilities. It enables smarter decision-making, efficient resource management, and personalized citizen services, transforming the urban landscape into a more sustainable, livable, and responsive environment. The research presented herein focuses on the practical implementation of a DT concept for managing cross-domain smart city services, leveraging VR technology to create a virtual replica of the urban environment and IoT devices. Imperative for cross-domain city services is interoperability, which is crucial not only for the seamless operation of these advanced tools but also for unlocking the potential of cross-service applications. Through the deployment of our model at the IoTMADLab facilities, we showcase the integration of IoT devices within varied urban infrastructures. The outcomes demonstrate the efficacy of VR interfaces in simplifying complex interactions, offering pivotal insights into device functionality, and enabling informed decision-making processes.","url":"https://doi.org/10.3390/app14072747","authors":["Guillermo del Campo","Edgar Saavedra","Luca Piovano","Francisco Luque","Asunción Santamaría"],"tags":["Interoperability","Computer science","Internet of Things","Domain (mathematical analysis)","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-25","doi":"https://doi.org/10.3390/app14072747","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4403085348","name":"Towards generative digital twins in biomedical research","source":"openalex","abstract":"modeling for simulated interventions, facilitating the exploration of 'what if' causal scenarios for clinical diagnostics and treatments tailored to individual patients. Here, we outline recent advancements in this novel field and discuss the challenges and future research directions.","url":"https://doi.org/10.1016/j.csbj.2024.09.030","authors":["Jiqing Wu","Viktor H. Koelzer"],"tags":["Generative grammar","Computational biology","Computer science","Biology","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-03","doi":"https://doi.org/10.1016/j.csbj.2024.09.030","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4285271576","name":"Development of a PSS for Smart Grid Energy Distribution Optimization based on Digital Twin","source":"openalex","abstract":"According to the recent enactments of the European authorities, the reduction of CO2 emissions is one of the main targets, in order to achieve climate neutrality. However, under the Industry 4.0 framework, several digital technologies and techniques have been introduced. More specifically, advanced simulation techniques, such as Digital Twins are being integrated in modern manufacturing systems for monitoring as well as optimizing manufacturing processes. Therefore, taking into consideration that energy distribution and consumption is highly volatile, there is an emerging need for estimating energy demands, as well as to distribute energy in the best possible way, so that manufacturing processes are not interrupted. Consequently, the contribution of this research work is focused firstly on the modelling of a Smart Grid, then on the design and development of the Digital Twin of the modelled Smart Grid, and to the development of suitable optimization models/algorithms for electric energy distribution. The proposed energy distribution framework can be realized as a platform, on which the energy customers are capable of registering their company to the Smart Grid and use the optimization services in order to optimize their energy profile. Thus, this framework can be considered as Product-Service System (PSS), offered by energy suppliers. The applicability of the simulation framework is validated in a university campus.","url":"https://doi.org/10.1016/j.procir.2022.05.121","authors":["Dimitris Mourtzis","John Angelopoulos","Nikos Panopoulos"],"tags":["Smart grid","Systems engineering","Grid","Energy consumption","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.05.121","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4285792970","name":"Detecting clusters of galaxies and active galactic nuclei in an eROSITA all-sky survey digital twin","source":"openalex","abstract":"Context. The extended ROentgen Survey with an Imaging Telescope Array (eROSITA) on board the Spectrum-Roentgen-Gamma (SRG) observatory is revolutionizing X-ray astronomy. The mission provides unprecedented samples of active galactic nuclei (AGN) and clusters of galaxies, with the potential of studying astrophysical properties of X-ray sources and measuring cosmological parameters using X-ray-selected samples with higher precision than ever before. Aims. We aim to study the detection, and the selection of AGN and clusters of galaxies in the first eROSITA all-sky survey, and to characterize the properties of the source catalog. Methods. We produced a half-sky simulation at the depth of the first eROSITA survey (eRASS1), by combining models that truthfully represent the population of clusters and AGN. In total, we simulated 1 116 758 clusters and 225 583 320 AGN. We ran the standard eROSITA detection algorithm, optimized for extragalactic sources. We matched the input and the source catalogs with a photon-based matching algorithm. Results. We perfectly recovered the bright AGN and clusters. We detected half of the simulated AGN with flux larger than 2 × 10 −14 erg s −1 cm −2 as point sources and half of the simulated clusters with flux larger than 3 × 10 −13 erg s −1 cm −2 as extended sources in the 0.5–2.0 keV band. We quantified the detection performance in terms of completeness, false detection rate, and contamination. We studied the population in the source catalog according to multiple cuts of source detection and extension likelihood. We find that the latter is suitable for removing contamination, and the former is very efficient in minimizing the false detection rate. We find that the detection of clusters of galaxies is mainly driven by flux and exposure time. It additionally depends on secondary effects, such as the size of the clusters on the sky plane and their dynamical state. The cool core bias mostly affects faint clusters classified as point sources, while its impact on the extent-selected sample is small. We measured the fraction of the area covered by our simulation as a function of limiting flux. We measured the X-ray luminosity of the detected clusters and find that it is compatible with the simulated values. Conclusions. We discuss how to best build samples of galaxy clusters for cosmological purposes, accounting for the nonuniform depth of eROSITA. This simulation provides a digital twin of the real eRASS1.","url":"https://doi.org/10.1051/0004-6361/202243824","authors":["R. Seppi","J. Comparat","Esra Bülbül","K. Nandra","A. Merloni","N. Clerc","Teng Liu","V. Ghirardini","Ang Liu","M. Salvato","J. S. Sanders","J. Wilms"],"tags":["Physics","Astrophysics","Active galactic nucleus","Sky","Galaxy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-19","doi":"https://doi.org/10.1051/0004-6361/202243824","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4229366694","name":"Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks","source":"openalex","abstract":"Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of Things (IoT) networks. In this position paper, we elucidate unique characteristics and capabilities of a DT framework that enables realization of such promises as online learning of a physical environment, real-time monitoring of assets, Monte Carlo heuristic search for predictive prevention, on-policy, and off-policy reinforcement learning in real-time. We establish a conceptual layered architecture for a DT framework with decentralized implementation on cloud computing and enabled by artificial intelligence (AI) services for modeling and decision-making processes. The DT framework separates the control functions, deployed as a system of logically centralized process, from the physical devices under control, much like software-defined networking (SDN) in fifth generation (5G) wireless networks. To clarify the significance of DT in lowering the risk of development and deployment of innovative technologies on existing system, we discuss the application of implementing zero trust architecture (ZTA) as a necessary security framework in future data-driven communication networks.","url":"https://doi.org/10.1145/3522783.3529519","authors":["Jithin Jagannath","Keyvan Ramezanpour","Anu Jagannath"],"tags":["Computer science","Cloud computing","Reinforcement learning","Virtualization","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-09","doi":"https://doi.org/10.1145/3522783.3529519","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4395451384","name":"Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering","source":"openalex","abstract":"Digital Engineering (DE) must be able to maximize efficiency and update dynamically in order to keep up with the wave of global interconnection. The evolution of the Digital Twin (DT) plays a significant role in DE as it enables autonomous optimization and an iterative cycle. However, the intricacy of real-world settings renders conventional evolutionary investigations of a solitary DT inadequate in tackling intricate systems at a comprehensive lifecycle magnitude. To address this, this paper presents the Co-evolutionary DTs (CoEDT), which has several key characteristics. (1) CoEDT study the evolutionary behavior of interconnected multi-DT. (2) CoEDT use a co-evolutionary distributed system architecture and is a DT technology that integrate MBSE . (3) CoEDT offers detailed dynamic models for the complex interactions and co-evolution among multi-DT throughout the lifecycle. It also supports real time measurement of multi-DT behavior to detect system anomalies. The significance of CoEDT lies in providing a more comprehensive insight for future product development by constructing a parallel world that simulates the lifecycle. In the CoEDT, we tackle the behavioral identification and structure of these evolving multi-DT throughout product lifecycle through the following approaches. Initially, drawing inspiration from biological cytology, we have conceived a concept of Collective DTs (CollDTs) to observing a collective behavioral of multi-DT. Subsequently, we further developed CoEDT to depict co-evolutionary behavior patterns and established a co-evolution architecture for all DT throughout the lifecycle by fusing Model-Based Systems Engineering (MBSE). Then, dynamic expressions and algorithm that can measure the co-evolution of every DT are inferred using information theory . Finally, the viability of the proposed CoEDT framework is demonstrated through the development of a solid rocket engine , which promotes the application of DT in the DE.","url":"https://doi.org/10.1016/j.aei.2024.102554","authors":["X. Catherine Tong","Jinsong Bao","Fei Tao"],"tags":["Computer science","Architecture","Identification (biology)","System lifecycle","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-25","doi":"https://doi.org/10.1016/j.aei.2024.102554","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3213214410","name":"A Vision for a Platform-based Digital-Twin Ecosystem","source":"openalex","abstract":"The widespread adoption of digital technology tied with the 4th industrial revolution means the complete reinvention of how business is done. Digital Twin (DT) technologies are now a key technology trend that is already being developed and commercialized to optimize numerous manufacturing processes. In this paper, and from an Information Systems (IS) discipline viewpoint, we take stock of the different technological visions of the DT in manufacturing. We leverage this summary as a stepping stone for discussing the DT’s sociotechnical design implications by pointing how this approach is essential for the design of DT software that is specific to its environment and users and co-evolves with it. Furthermore, we present our vision for a DT-based Digital Platform that can support product design and life-cycle management while generating value through an ecosystem of twin-driven product-service systems. Lastly, we show how the Transformer 4.0 project will demonstrate the main principle of our vision by placing the DT of the power transformer with the dual role of virtual counterpart of the physical product and as the architectural framework for (i) managing and processing the historical data collected from the multiple working instances of DTs, and (ii) managing and integrating design information (models, specifications, design data, among others).","url":"https://doi.org/10.1016/j.ifacol.2021.08.088","authors":["Henrique Diogo Silva","Miguel Francisco Pereira Azevedo","António Lucas Soares"],"tags":["Computer science","Digital asset management","Systems engineering","Product lifecycle","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.08.088","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2999507104","name":"Stateful Stream Processing for Digital Twins: Microservice-Based Kafka Stream DSL","source":"openalex","abstract":"Digital Twin is a virtual representation of a technological process or a piece of equipment, that supports monitoring, control and state prediction based on the data, gathered from the sensor networks. To parallelize event processing and produce near-real-time insights over data streams, Digital Twin should be implemented based on an Event-Driven architecture. The Event-Driven architecture is loosely-coupled by its nature. One of the recent possible solutions for loose coupling system is a Microservice approach, a cohesive and independent process that interacts using messages. Stateless behavior is the nature of the microservice, but on the other hand, the vast majority of stream processing in Digital Twin imply stateful operations. Thus, in this paper, we propose a case-study of the possibility to use Apache Kafka Stream API (Kafka stream DSL) to build stateful microservice for real-time manufacturing data analysis. Also, in the presented work we discuss the fulfillment of such requirements as fault tolerance, processing latency, and scalability to support the stateful stream processing in Digital Twins implementation.","url":"https://doi.org/10.1109/sibircon48586.2019.8958367","authors":["Ameer B. A. Alaasam","Gleb Radchenko","Andrei Tchernykh"],"tags":["Stateful firewall","Computer science","Stream processing","Digital subscriber line","Complex event processing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/sibircon48586.2019.8958367","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3210651355","name":"Real-Time-Capable Synchronization of Digital Twins","source":"openalex","abstract":"The digital twin is an increasingly popular concept with broad applications in industrial plants, such as fault-diagnosis and optimization. A central element in such digital twins is an online simulation. One key-challange with current online simulations lies in the synchronization of the plant and the simulation, as in industrial applications, simulation models will never be fully accurate. Reasons for this include not only simplifications during modelling but also aging of the physical plant. Therefore, this paper presents an improvement of the previously developed state synchronization methodology to perform the synchronization of online simulations in real-time. The methodology is based on dynamic optimization and includes measures to speed up the performance. We successfully validated our methodology using a real motor demonstration setup. Various scenarios were performed for validation and the real-time capabilities confirmed.","url":"https://doi.org/10.1016/j.ifacol.2021.10.025","authors":["Holger Zipper"],"tags":["Synchronization (alternating current)","Key (lock)","Computer science","Real-time computing","Time synchronization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.10.025","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4389765238","name":"A multi-agent digital twin–enabled decision support system for sustainable and resilient supplier management","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cie.2023.109838","authors":["Yali Li","Yung Po Tsang","C.H. Wu","C.K.M. Lee"],"tags":["Decision support system","Business","Process management","Resilience (materials science)","Operations management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-14","doi":"https://doi.org/10.1016/j.cie.2023.109838","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4220818005","name":"A digital-twin and machine-learning framework for precise heat and energy management of data-centers","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00466-022-02152-3","authors":["Tarek I. Zohdi"],"tags":["Data center","Computer science","Electronics cooling","Water cooling","Controller (irrigation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-10","doi":"https://doi.org/10.1007/s00466-022-02152-3","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3006849452","name":"Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems","source":"openalex","abstract":"Degradation of engineering structures and systems often comes in the form of wear, corrosion, and fracture. These factors progressively bring about performance decay, until the system fails to function satisfactorily. Complex engineering systems (CES) need regular maintenance throughout their operation, along with continuous checks on the health status of components and equipment, within regulatory frameworks. A digital twin paradigm is able to continuously monitor CES, to use this data to update a virtual model of the CES and thus make real-time predictions about future functionality. The purpose of this paper is to introduce a conceptual framework of a digital twin to be applied within the degradation assessment process of a CES. The digital twin framework will aim to gather digital data through a network to plan through-life requirements of the system. Data-driven approaches can be used to predict how degradation evolves over time. The proposed framework will help the decision-making process to better handle maintenance operations and achieve targets such as asset availability and minimised cost.","url":"https://doi.org/10.1016/j.procir.2020.01.043","authors":["Davide D’Amico","John Ekoyuncu","Sri Addepalli","Christopher W. Smith","Ed Keedwell","Jim Sibson","Steven Penver"],"tags":["Process (computing)","Asset (computer security)","Conceptual framework","Systems engineering","Plan (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2020.01.043","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4362608901","name":"Human-Focused Digital Twin Applications for Occupational Safety and Health in Workplaces: A Brief Survey and Research Directions","source":"openalex","abstract":"Occupational safety and health is among the most challenging issues in many industrial workplaces, in that various factors can cause occupational illness and injury. Robotics, automation, and other state-of-the-art technologies represent risks that can cause further injuries and accidents. However, the tools currently used to assess risks in workplaces require manual work and are highly subjective. These tools include checklists and work assessments conducted by experts. Modern Industry 4.0 technologies such as a digital twin, a computerized representation in the digital world of a physical asset in the real world, can be used to provide a safe and healthy work environment to human workers and can reduce occupational injuries and accidents. These digital twins should be designed to collect, process, and analyze data about human workers. The problem is that building a human-focused digital twin is quite challenging and requires the integration of various modern hardware and software components. This paper aims to provide a brief survey of recent research papers on digital twins, focusing on occupational safety and health applications, which is considered an emerging research area. The authors focus on enabling technologies for human data acquisition and human representation in a virtual environment, on data processing procedures, and on the objectives of such applications. Additionally, this paper discusses the limitations of existing studies and proposes future research directions.","url":"https://doi.org/10.3390/app13074598","authors":["Jin‐Sung Park","Dong-Gu Lee","Jesus A. Jimenez","Sung Lee","Jun Woo Kim"],"tags":["Occupational safety and health","Risk analysis (engineering)","Automation","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-05","doi":"https://doi.org/10.3390/app13074598","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3120522842","name":"Exploiting Digital Twins as Enablers for Synthetic Sensing","source":"openalex","abstract":"The digital twin is used in several problem domains. It is an enabler for Internet of Things applications as a framework for representing and simulating how physical objects interact in target environments. The concept of general-purpose sensing is aiming at determining basic sensing capabilities from which deriving, by means of artificial intelligence algorithms (termed synthetic sensing), relevant information for representing an environment. This article explores the possible relationships and the feasibility of an integration of synthetic sensing within a digital twin framework. This article presents relevant concepts and technologies, challenges and some enabled scenarios that this integration can bring. This approach is in its infancy and there is a need to validate and assess its viability, and benefits. This article identifies challenges and validation steps that can lead to consolidation and adoption of this approach. Finally, this article presents some future work aiming at demonstrating the approach.","url":"https://doi.org/10.1109/mic.2021.3051674","authors":["Roberto Minerva","Faraz Malik Awan","Noël Crespi"],"tags":["Computer science","Enabling","Data science","Field (mathematics)","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-14","doi":"https://doi.org/10.1109/mic.2021.3051674","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4292506929","name":"Development of a slope digital twin for predicting temporal variation of rainfall-induced slope instability using past slope performance records and monitoring data","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.enggeo.2022.106825","authors":["Xin Liu","Yu Wang","R.C.H. Koo","J.S.H. Kwan"],"tags":["Slope stability","Slope failure","Instability","Stability (learning theory)","Geotechnical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-10","doi":"https://doi.org/10.1016/j.enggeo.2022.106825","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4206969699","name":"Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue","source":"openalex","abstract":"The primary sources of injuries in the workplace are improper manual material handling (MMH) motions, forklift collisions, slip, and fall. This research presents a Digital Twin (DT) framework to analyze fatigue in humans while performing lifting MMH activity in a laboratory environment for the purpose of reducing these types of injuries. The proposed methodology analyzes the worker’s body joints to detect biomechanical fatigue as a factor of change in back, elbow, and knee joint angles. Using the dynamic time warping (DTW) algorithm, the change in joint angles with time was analyzed. The variation in DTW parameters was evaluated using exponentially weighted moving average (EWMA) control charts for further analysis. A preliminary study considering two healthy male subjects performing seven experiments, each under an optical motion capture system was performed to test the model’s efficiency. Our contributions are twofold. First, we propose a model to detect biomechanical fatigue in the subjects performing MMH lifting activity as a change in joint angles. Secondly, the research also shows evidence that different individuals show signs of body fatigue via different body joints and showcases the need for a true personalized DT for an operator for fatigue assessment in an MMH environment.","url":"https://doi.org/10.1109/access.2022.3145984","authors":["Abhimanyu Sharotry","Jesus A. Jimenez","Francis A. Méndez Mediavilla","David Wierschem","Rachel M. Koldenhoven","Damian Valles","Francis A. Mendez Mediavilla"],"tags":["Dynamic time warping","Computer science","Joint (building)","Simulation","Elbow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3145984","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"oa:W4390744672","name":"Development and usability testing of a patient digital twin for critical care education: a mixed methods study","source":"openalex","abstract":"Background: to minimize preventable patient harm. Our group has developed a novel application software utilizing a digital twin patient model based on electronic health record (EHR) variables to simulate clinical trajectories during the initial 6 h of critical illness. This study aimed to assess the usability, workload, and acceptance of the digital twin application as an educational tool in critical care. Methods: A mixed methods study was conducted during seven user testing sessions of the digital twin application with thirty-five first-year internal medicine residents. Qualitative data were collected using a think-aloud and semi-structured interview format, while quantitative measurements included the System Usability Scale (SUS), NASA Task Load Index (NASA-TLX), and a short survey. Results: Median SUS scores and NASA-TLX were 70 (IQR 62.5-82.5) and 29.2 (IQR 22.5-34.2), consistent with good software usability and low to moderate workload, respectively. Residents expressed interest in using the digital twin application for ICU rotations and identified five themes for software improvement: clinical fidelity, interface organization, learning experience, serious gaming, and implementation strategies. Conclusion: A digital twin application based on EHR clinical variables showed good usability and high acceptance for critical care education.","url":"https://doi.org/10.3389/fmed.2023.1336897","authors":["Lucrezia Rovati","Phillip Gary","Edin Cubro","Yue Dong","Oğuz Kılıçkaya","Phillip J. Schulte","Xiang Zhong","Malin Wörster","Diana J. Kelm","Ognjen Gajic","Alexander S. Niven","Amos Lal"],"tags":["Usability","Workload","System usability scale","Digital health","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-11","doi":"https://doi.org/10.3389/fmed.2023.1336897","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4405656363","name":"Pivotal role of digital twins in the metaverse: A review","source":"openalex","abstract":"The ascent of the metaverse signifies a profound transformation in our digital landscape, ushering in a complex network of interlinked virtual domains and digital spaces. In this burgeoning metaverse, a paradigm shift is seen in how people engage, collaborate, and become immersed in digital environments. An especially intriguing concept taking root within this metaverse landscape is that of digital twins. Initially rooted in industrial and Internet of Things (IoT) contexts, digital twins are now making their mark in the metaverse, presenting opportunities to elevate user experiences, introduce novel dimensions of interaction, and seamlessly bridge the divide between the virtual and physical realms. Digital twins, conceived initially to replicate physical entities in real-time, have transcended their industrial origins in this new metaverse context. They no longer solely replicate physical objects but extend their domain to encompass digital entities, avatars, virtual environments, and users. Despite the vital contributions of digital twins in the metaverse, there has been no research that has explored the applications and scope of digital twins in the metaverse comprehensively. However, there are a few papers focusing on some particular applications. Addressing this research gap, we present an in-depth review of the pivotal role of application digital twins in the metaverse. We present 15 digital twin applications in the metaverse, ranging from simulation and training to emergency preparedness. This study outlines the critical limitations of integrating digital twins and metaverse and several future research directions.","url":"https://doi.org/10.1016/j.dcan.2024.12.003","authors":["Siva Sai","Pulkit Sharma","Aanchal Gaur","Vinay Chamola"],"tags":["Computer science","Metaverse","Data science","Human–computer interaction","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-19","doi":"https://doi.org/10.1016/j.dcan.2024.12.003","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4385719398","name":"Digital Twin based Smart Manufacturing; From Design to Simulation and Optimization Schema","source":"openalex","abstract":"The advent of new-generation information and communication technologies, such as Generative AI, Internet of Things (IoT), big data analytics, Blockchain technology, and artificial intelligence (AI), has led to the emergence of the era of big data in recent years. Digital twin has emerged as one of the most active components in smart manufacturing, garnering significant attention from enterprises, research institutes, and researchers. By creating a digital twin, manufacturers can simulate different scenarios and test various configurations without disrupting the actual production process. This allows for more efficient testing and optimization of production processes, as well as improved quality control and predictive maintenance. Overall, digital twins are an important tool in smart production that can help manufacturers improve efficiency and reduce costs while ensuring high-quality output. In this paper, after reviewing the literature on the subject, in this article, by reviewing the literature, we presented a framework of the digital twin in smart manufacturing, which includes Optimization, Predictive Maintenance, Quality Control, Design, and Simulation, which can be a good guide for future studies.","url":"https://doi.org/10.1016/j.procs.2023.08.109","authors":["Mohsen Ebni","Seyed Mojtaba Hosseini Bamakan","Qiang Qu"],"tags":["Computer science","Big data","Quality (philosophy)","Schema (genetic algorithms)","Predictive analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procs.2023.08.109","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4403186935","name":"Digital Twin Technology and Social Sustainability: Implications for the Construction Industry","source":"openalex","abstract":"To date, a plethora of research has been published investigating the value of using Digital Twin (DT) technology in the construction industry. However, the contribution of DT technology to promoting social sustainability in the industry has largely been unexplored. Therefore, the current paper aims to address this gap by exploring the untapped potential of DT technology in advancing social sustainability within the construction industry. To this end, a comprehensive systematic literature review was conducted, which identified 298 relevant studies. These studies were subsequently analysed with respect to their use of DT technology in supporting social sustainability. The findings indicated that the studies contributed to 8 of the 17 UN Sustainable Development Goals (SDGs), with a strong focus on SDG11 (77 publications), followed by SDG3 and SDG9, with 58 and 48 studies, respectively, focusing on promoting health and well-being and fostering resilient infrastructure and innovation. Other contributions were identified for SDG13 (30 studies), SDG7 (27 studies), SDG12 (26 studies), SDG4 (21 studies), and SDG6 (11 studies), covering areas such as climate action, responsible consumption, affordable energy, quality education, and clean water and sanitation. This paper also proposes future research directions for advancing DT technology to further enhance social sustainability in the construction industry. These include (i) enhancing inclusivity and diversity, (ii) workforce safety and well-being, (iii) training and skill development, (iv) policy and regulatory support, and (v) cross-disciplinary collaboration.","url":"https://doi.org/10.3390/su16198663","authors":["Hossein Omrany","Armin Mehdipour","Daniel Oteng"],"tags":["Sustainability","Social sustainability","Business","Industrial organization","Environmental economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-07","doi":"https://doi.org/10.3390/su16198663","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4312453552","name":"Digital Twins and AI in Smart Motion Control Applications","source":"openalex","abstract":"Recently, smart system integration was identified as a key competence for optimizing machines and robots. However, when one wants to ’tune’ the entire production process a step further is necessary. We should evaluate performance indicators (e.g. energy and material consumption) over the whole machine life cycle in order to align the production with circular economy principles. To reach that target MBSE (model-based system engineering) should be covered by advanced digital twin approaches which allow continuous monitoring of machine performance, predict the failures and maintenance. Moreover, artificial intelligence and machine learning must be used to process big data sets gathered from the production lines. This paper identifies a common set of technologies and building blocks suitable to solve above mentioned problems for a large variety of industrial domains (semiconductor production, health-care robotics, CNC1machining, high-speed packaging and others). It presents the first results of the large-scale IMOCO4.E2project and shows the pathways for application of the technology on specific machines (so-called pilots). The authors believe the ideas presented could be inspiring also in other domains.","url":"https://doi.org/10.1109/etfa52439.2022.9921533","authors":["Martin Čech","Arend-Jan Beltman","Kaspars Ozols"],"tags":["Artificial intelligence","Computer science","Robotics","Robot","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-06","doi":"https://doi.org/10.1109/etfa52439.2022.9921533","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4400147896","name":"Expert Twin: A Digital Twin with an Integrated Fuzzy-Based Decision-Making Module","source":"openalex","abstract":"Digitalization and the application of modern Industry 4.0 solutions are becoming increasingly important to remain competitive as product ranges expand and global supply chains grow. This paper presents a new Digital Twin framework to achieve robustness in manufacturing process optimization and enhance the efficiency of decision support. Most digital twins in the literature synchronously represent the real system without any control elements despite the bidirectional data link. The proposed approach combines the advantages of traditional process simulations with a real-time communication and data acquisition method using programmable logic controllers designed to control automated systems. In addition, it complements this by utilizing human experience and expertise in modeling using Fuzzy Logic to create a control-enabled digital twin system. The resulting \"Expert Twin\" system reduces the reaction time of the production to unexpected events and increases the efficiency of decision support; it generates and selects alternatives, therefore creating smart manufacturing. The Expert Twin framework was integrated, tested, and validated on an automated production sample system in a laboratory environment. In the experimental scenarios carried out, the method production increased production line utility by up to 28% and the number of re-schedules can be halved.","url":"https://doi.org/10.31181/dmame8120251181","authors":["Gergő Dávid Monek","Szabolcs Fischer"],"tags":["Fuzzy logic","Computer science","Robustness (evolution)","Production line","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-29","doi":"https://doi.org/10.31181/dmame8120251181","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4387675678","name":"An online learning method for constructing self-update digital twin model of power transformer temperature prediction","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.applthermaleng.2023.121728","authors":["Tao Wu","Fan Yang","Umer Farooq","Xing Li","Jinyang Jiang"],"tags":["Transformer","Computer science","Machine learning","Retraining","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-16","doi":"https://doi.org/10.1016/j.applthermaleng.2023.121728","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2968700173","name":"Digital Twins in eHealth – : Prospects and Challenges Focussing on Information Management","source":"openalex","abstract":"A new approach for managing the knowledge of artificial intelligence based, learning ehealth systems via digital twins will be presented. With different subtypes of such twins: personal, group and system digital twins, a number of decisive targets can be achieved in addition to the ubiquitous knowledge aggregation and organization by such twins. These targets start with allowing to forget respectively unlearn person-related data as mandated by new EU-GDPR. The targets include also enhanced transparency of the system for delivering unbiased conclusions within the limitations of the designated target group with respect to the learned training data. Finally, a self-monitoring of the assessed efficacy of the system in the presence of machine learning will be tackled, including also the reapplication of prior conclusions (diagnoses) in the light of the additional knowledge learned.","url":"https://doi.org/10.1109/ice.2019.8792622","authors":["Rainer Lutze"],"tags":["eHealth","Transparency (behavior)","Computer science","Medical diagnosis","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-06-01","doi":"https://doi.org/10.1109/ice.2019.8792622","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4283387464","name":"Network Digital Twin for the Industrial Internet of Things","source":"openalex","abstract":"Digital Twins are starting to revolutionize many industries in the last decade providing a plethora of benefits to optimize the performance of industrial systems. They aim to create a continuously synchronized model of the physical system which enables rapid adaptation to dynamics, mainly unpredicted and undesirable changes. A wide range of industrial fields have already benefited from digital twins technology such as aerospace, manufacturing, healthcare, city management and maritime and shipping. Furthermore, recent research works are starting to study the integration of digital twins for computer networks to allow more innovation and intelligent management. One of the basic building blocks of digital twins technology is the Internet of Things where wireless sensors and actuators are deployed to ensure the interaction between the physical and digital worlds. This type of network is complex to manage due to its severe constraints especially when it controls critical industrial applications, resulting in the Industrial Internet of Things (IIoT). We believe that the optimization of the IIoT will lead to efficient integration of Digital Twins in Industry 4.0. In this paper, we design a Network Digital Twin for the IIoT where sensors, actuators and communication infrastructure are replicated in the digital twin to enable intelligent real-time management of such networks. This way, new networking services such as predictive maintenance, network diagnosis, resource allocation, energy optimization with other intelligent services can be efficiently integrated and exploited in the network life-cycle. We validate the proposed architecture by providing a promising prototype implementation that should unleash the full potential of the network digital twin.","url":"https://doi.org/10.1109/wowmom54355.2022.00089","authors":["Mehdi Kherbache","Moufida Maimour","Éric Rondeau"],"tags":["Computer science","Wireless sensor network","The Internet","Aerospace","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-01","doi":"https://doi.org/10.1109/wowmom54355.2022.00089","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4392161864","name":"Asset management, condition monitoring and Digital Twins: damage detection and virtual inspection on a reinforced concrete bridge","source":"openalex","abstract":"In April 2021 Stavå bridge, a main bridge on E6 in Norway, was abruptly closed for traffic.A structural defect had seriously compromised the bridge's structural integrity.The Norwegian Public Roads Administration (NPRA) closed it, made a temporary solution and reopened with severe traffic restrictions.The incident was alerted through what constitutes the bridge's Digital Twin processing data from Internet of Things sensors.The solution was crucial in online and offline diagnostics, the case demonstrating the value of technologies to tackle emerging dangerous situations as well as acting preventively.A critical and rapidly developing damage was detected in time to stop the development, but not in time to avoid the incident altogether.The paper puts risk in a broader perspective for an organization responsible for highway infrastructure.It positions online monitoring and Digital Twins in the context of Risk-and Condition-Based Maintenance.The situation that arose at Stavå bridge, and how it was detected, analysed, and diagnosed during virtual inspection, is described.The case demonstrates how combining physics-based methods with Machine Learning can facilitate damage detection and diagnostics.A summary of lessons learnt, both from technical and organisational perspectives, as well as plans of future work, is presented.","url":"https://doi.org/10.1080/15732479.2024.2311911","authors":["Arnulf Hagen","T. Andersen"],"tags":["Bridge (graph theory)","Asset management","Structural health monitoring","Bridge maintenance","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-25","doi":"https://doi.org/10.1080/15732479.2024.2311911","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4226070056","name":"Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey","source":"openalex","abstract":"This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they approach their ultimate goal of creating a Digital Twin (DT) that perfectly matches the reality. We propose four complexity dimensions for the network representation and five generations of models for the dynamics modelling to describe the increasing complexity level of the CNS that will be developed towards achieving DT (e.g. CNS dynamics modelled offline in the 1st generation v.s. CNS dynamics modelled simultaneously with a two-way real time feedback between reality and the CNS in the 5th generation). Based on that, we propose a new framework to conceptually compare diverse existing modelling paradigms from different perspectives and create unified assessment criteria to evaluate their respective capabilities of reaching such an ultimate goal. Using the proposed criteria, we also appraise how far the reviewed current state-of-the-art approaches are from the idealised DTs. Finally, we identify and propose potential directions and ways of building a DT-orientated CNS based on the convergence and integration of CNS and DT utilising a variety of cross-disciplinary techniques.","url":"https://doi.org/10.1109/access.2022.3184801","authors":["Jiaqi Wen","Bogdan Gabryś","Katarzyna Musiał"],"tags":["Computer science","Variety (cybernetics)","Representation (politics)","Convergence (economics)","Dynamics (music)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3184801","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3159363353","name":"Permeability prediction for porous sandstone using digital twin modeling technology and Lattice Boltzmann method","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijrmms.2021.104695","authors":["Huaiguang Xiao","Lei He","Jianchun Li","Chunjiang Zou","Chengmeng Shao"],"tags":["Tortuosity","Porosity","Permeability (electromagnetism)","Lattice Boltzmann methods","Porous medium"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-24","doi":"https://doi.org/10.1016/j.ijrmms.2021.104695","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4214603949","name":"Mutual information-enhanced digital twin promotes vision-guided robotic grasping","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2022.101562","authors":["Fuwen Hu"],"tags":["Artificial intelligence","Context (archaeology)","Human–computer interaction","Computer science","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-24","doi":"https://doi.org/10.1016/j.aei.2022.101562","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4362725515","name":"Digital Twin and Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_8","authors":["Özgü Can","Aytug Turkmen"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-981-99-0252-1_8","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4390139904","name":"A digital twin-based framework for damage detection of a floating wind turbine structure under various loading conditions based on deep learning approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2023.116563","authors":["Zohreh Mousavi","Sina Varahram","Mir Mohammad Ettefagh","Morteza Sadeghi","Wei-Qiang Feng","Meysam Bayat"],"tags":["Robustness (evolution)","Computer science","Structural health monitoring","Turbine","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-23","doi":"https://doi.org/10.1016/j.oceaneng.2023.116563","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3134267756","name":"Research on the Construction of Highway Traffic Digital Twin System Based on 3D GIS Technology","source":"openalex","abstract":"Abstract Under the background of smart city construction, modern information technology has been continuously innovated and developed, which has effectively promoted the development of highway transportation in China, and GIS technology has effectively promoted the development speed of highway transportation informationization in China. As an important geographic information system, GIS technology has obvious technical advantages in traffic information data collection, information data analysis and processing, and promotes the road traffic to develop towards informationization gradually. In order to accelerate the mature development of road transportation, with the support of GIS technology, the road transportation digital twin system is gradually constructed. As a revolutionary technology in the development of highway transportation, digital technology promotes the development of highway transportation in a green, open, and shared direction, laying a solid foundation for the quality of highway engineering construction. Based on this, this article analyzes the overview of GIS technology, explores the digital twin technology, and specifically discusses the modeling process of the road traffic digital twin system, in order to verify the feasibility of the practical application of the road traffic digital twin system.","url":"https://doi.org/10.1088/1742-6596/1802/4/042045","authors":["Songchun Wang","Fa Zhang","Ting Qin"],"tags":["Transport engineering","Geographic information system","Intelligent transportation system","Twin cities","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-01","doi":"https://doi.org/10.1088/1742-6596/1802/4/042045","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4413294494","name":"Robot digital twin systems in manufacturing: Technologies, applications, trends and challenges","source":"openalex","abstract":"The manufacturing industry is undergoing a profound transformation toward smart, digital, and flexible production systems under the Industry 4.0 framework. Within this paradigm, Digital Twin (DT) serves as a key enabler, bridging physical and digital domains to simulate, analyse, and optimise manufacturing operations. Concurrently, robotic systems, enhanced by smart sensor perception, Industrial Internet of Things connectivity, and adaptive control mechanisms, are increasingly deployed to handle complex and dynamic tasks. However, the evolving demands of the modern manufacturing industry require a high degree of flexibility and responsiveness, necessitating more intelligent solutions. The Robot Digital Twin (RDT) has emerged as a transformative approach, facilitating dynamic adaptation and continuous operational improvement. This review offers a comprehensive examination of the literature on RDT in manufacturing from both technology and application perspectives, aiming to provide insight for researchers and practitioners in Industry 4.0. The paper introduces a four-layer RDT system architecture and summarises how Industry 4.0 technologies, e.g., the Industrial Internet of Things, Cloud/Edge Computing, 5 G, Virtual Reality, Modelling and Simulation, and Artificial Intelligence, converge and influence the RDT system based on this architecture. Furthermore, the review covers domain-specific and system-level applications, such as assembly, machining, grasping, material handling, human-robot interaction, predictive maintenance, and additive manufacturing systems, with an analysis of their development status. Finally, the trends, practical challenges, and future research directions for RDT systems in manufacturing are summarised at different levels.","url":"https://doi.org/10.1016/j.rcim.2025.103103","authors":["Qiang Qin","Zhihao Liu","Ruirui Zhong","Xi Vincent Wang","Lihui Wang","Magnus Wiktorsson","Wei Wang"],"tags":["Robot","Manufacturing engineering","Computer science","Engineering","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-18","doi":"https://doi.org/10.1016/j.rcim.2025.103103","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4403836711","name":"Leveraging the Synergy of Digital Twins and Artificial Intelligence for Sustainable Power Grids: A Scoping Review","source":"openalex","abstract":"As outlined by the International Energy Agency, 44% of carbon emissions in 2021 were attributed to electricity and heat generation. Under this critical scenario, the power industry has adopted technologies promoting sustainability in the form of smart grids, microgrids, and renewable energy. To overcome the technical challenges associated with these emerging approaches and to preserve the stability and reliability of the power system, integrating advanced digital technologies such as Digital Twins (DTs) and Artificial Intelligence (AI) is crucial. While existing research has explored DTs and AI in power systems separately, an overarching review of their combined, synergetic application in sustainable power systems is lacking. Hence, in this work, a comprehensive scoping review is conducted under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The main results of this review analysed the breadth and relationships among power systems, DTs, and AI dynamics and presented an evolutionary timeline with three distinct periods of maturity. The prominent utilisation of deep learning, supervised learning, reinforcement learning, and swarm intelligence techniques was identified as mainly constrained to power system operations and maintenance functions, along with the potential for more sophisticated AI techniques in computer vision, natural language processing, and smart robotics. This review also discovered sustainability-related objectives addressed by AI-powered DTs in power systems, encompassing renewable energy integration and energy efficiency, while encouraging the investigation of more direct efforts on sustainable power systems.","url":"https://doi.org/10.3390/en17215342","authors":["A.S.R.A. Ranawaka","Damminda Alahakoon","Yuan Sun","Kushan Hewapathirana"],"tags":["Computer science","Artificial intelligence","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-27","doi":"https://doi.org/10.3390/en17215342","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4321214551","name":"Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.renene.2023.02.067","authors":["Xiang Zhao","My Ha Dao","Quang Tuyen Le"],"tags":["Turbine","Offshore wind power","Nacelle","Marine engineering","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-17","doi":"https://doi.org/10.1016/j.renene.2023.02.067","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4382560803","name":"Digital twins and 3D information modeling in a smart city for traffic controlling: A review","source":"openalex","abstract":"The idea of a smart city has evolved in recent years from limiting the city’s physical growth to a comprehensive idea that includes physical, social, information, and knowledge infrastructure. As of right now, many studies indicate the potential advantages of smart cities in the fields of education, transportation, and entertainment to achieve more sustainability, efficiency, optimization, collaboration, and creativity. So, it is necessary to survey some technical knowledge and technology to establish the smart city and digitize its services. Traffic and transportation management, together with other subsystems, is one of the key components of creating a smart city. We specify this research by exploring digital twin (DT) technologies and 3D model information in the context of traffic management as well as the need to acquire them in the modern world. Despite the abundance of research in this field, the majority of them concentrate on the technical aspects of its design in diverse sectors. More details are required on the application of DTs in the creation of intelligent transportation systems. Results from the literature indicate that implementing the Internet of Things (IoT) to the scope of traffic addresses the traffic management issues in densely populated cities and somewhat affects the air pollution reduction caused by transportation systems. Leading countries are moving towards integrated systems and platforms using Building Information Modelling (BIM), IoT, and Spatial Data Infrastructure (SDI) to make cities smarter. There has been limited research on the application of digital twin technology in traffic control. One reason for this could be the complexity of the traffic system, which involves multiple variables and interactions between different components. Developing an accurate digital twin model for traffic control would require a significant amount of data collection and analysis, as well as advanced modeling techniques to account for the dynamic nature of traffic flow. We explore the requirements for the implementation of the digital twin in the traffic control industry and a proper architecture based on 6 main layers is investigated for the deployment of this system. In addition, an emphasis on the particular function of DT in simulating high traffic flow, keeping track of accidents, and choosing the optimal path for vehicles has been reviewed. Furthermore, incorporating user-generated content and volunteered geographic information (VGI), considering the idea of the human as a sensor, together with IoT can be a future direction to provide a more accurate and up-to-date representation of the physical environment, especially for traffic control, according to the literature review. The results show there are some limitations in digital twins for traffic control. The current digital twins are only a 3D representation of the real world. The difficulty of synchronizing real and virtual world information is another challenge. Eventually, in order to employ this technology as effectively as feasible in urban management, the researchers must address these drawbacks.","url":"https://doi.org/10.24294/jgc.v6i1.1865","authors":["Zahra Rezaei","Mohammad H. Vahidnia","Hossein Aghamohammadi","Zahra Azizi","Saeed Behzadi"],"tags":["Smart city","Context (archaeology)","Scope (computer science)","Computer science","Intelligent transportation system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-27","doi":"https://doi.org/10.24294/jgc.v6i1.1865","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4220872212","name":"Digital Twin-driven framework for fatigue lifecycle management of steel bridges","source":"openalex","abstract":"This paper presents a Digital Twin-driven framework for fatigue lifecycle management of steel bridges. A probabilistic multi-scale fatigue deterioration model is proposed to predict the entire fatigue process of steel bridges. Bayesian inference of the deterioration parameters realizes the real-time updating of the predicted lifecycle fatigue evolution process, which provides a good basis for lifecycle optimization. To avoid an empirically predefined repair crack size for maintenance, an optimization process for maintenance strategies is included. The relationship of the extended lifetime and the design repair crack size is constructed by numerical experimental design and surrogate modeling. The solution for optimum repair crack size is obtained while maximizing the extended fatigue life and minimizing the maintenance costs. Based on the occurrence time distribution of the optimum repair crack size, the inspection/monitoring planning is determined from a probabilistic optimization process based on the minimization of the expected damage detection delay and the lifecycle costs. The uncertainties associated with the damage occurrence and detection ability are considered during the formulation of the expected damage detection delay by decision tree analysis. Based on Digital Twin concept, the predicted deterioration process, derived maintenance, and inspection/monitoring planning are timely updated until a defined stopping rule is met.","url":"https://doi.org/10.1080/15732479.2022.2058563","authors":["Fei Jiang","Youliang Ding","Yongsheng Song","Fangfang Geng","Zhiwen Wang"],"tags":["Probabilistic logic","Reliability engineering","Process (computing)","Bayesian network","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-01","doi":"https://doi.org/10.1080/15732479.2022.2058563","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4406610307","name":"Leveraging Digital Twin Technology for Battery Management: A Case Study Review","source":"openalex","abstract":"The increasing complexity of battery management systems (BMS) has led to challenges processing the vast amounts of data required for accurate real-time monitoring and control. Existing BMS frameworks, which rely heavily on artificial intelligence (AI), often struggle with data limitations that impact the precision of state estimates, ultimately affecting battery performance and safety. The integration of digital twin (DT) technology has been proposed to address these challenges. DTs create virtual representations of physical battery systems, enabling enhanced monitoring, predictive maintenance, and optimized performance through advanced AI algorithms. This study presents a comprehensive exploration of DT technology for BMS. First, we review the fundamental concepts, including DTs’ definitions, roles, and high-level architecture in battery management. Second, we examine research and industry-based case studies to identify the necessary technologies and tools for developing robust battery DTs. We propose a detailed framework for integrating DTs with existing BMS infrastructure, focusing on scalability, cost-effectiveness, and practical implementation strategies. Finally, we discuss the open research challenges and future opportunities in the field, emphasizing the potential impact of DTs on the evolution of BMSs.","url":"https://doi.org/10.1109/access.2025.3531833","authors":["Judith Nkechinyere Njoku","Ebuka Chinaechetam Nkoro","Robin Matthew Medina","Cosmas Ifeanyi Nwakanma","Jae‐Min Lee","Dong‐Seong Kim"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3531833","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4388918225","name":"Towards Human Digital Twins to enhance workers' safety and production system resilience","source":"openalex","abstract":"Industry 5.0 complements Industry 4.0 aiming to create a sustainable, human-centered, and resilient industry. In this context, enabling technologies, such as artificial intelligence, internet of everything, and digital twins, can be used to monitor and enhance the workforce to improve the efficiency and resilience of the entire manufacturing system. By developing socio-technical digital twin architectures, companies will be able in the short future to monitor machines, products, and workers' real-time states as a whole ecosystem. In this study, the authors focus their attention on human digital twin solutions for manufacturing systems, enabling dynamic scheduling of jobs by minimizing the makespan and considering a set of workers’ parameters that are continuously monitored through an ergonomic digital platform. This paper proposes the architecture of a real-time monitoring system and how it can help detect awkward postural behavior or unbalanced workload among workers, according to their individual features. At the same time, the system interacts with the human digital twin system which proposes a rescheduling of the jobs whenever it is necessary. Finally, a discussion on the practical limitations of human digital twin implementations in industrial environments is provided.","url":"https://doi.org/10.1016/j.ifacol.2023.10.809","authors":["Nicola Berti","Serena Finco","Mattia Guidolin","Daria Battini"],"tags":["Industry 4.0","Implementation","Computer science","Workload","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.ifacol.2023.10.809","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4402389761","name":"State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies","source":"openalex","abstract":"Recent digital advances have popularized predictive maintenance (PMx), offering enhanced efficiency, automation, accuracy, cost savings, and independence in maintenance processes. Yet, PMx continues to face numerous limitations such as poor explainability, sample inefficiency of data-driven methods, complexity of physics-based methods, and limited generalizability and scalability of knowledge-based methods. This paper proposes leveraging Digital Twins (DTs) to address these challenges and enable automated PMx adoption on a larger scale. While DTs have the potential to be transformative, they have not yet reached the maturity needed to bridge these gaps in a standardized manner. Without a standard definition guiding this evolution, the transformation lacks a solid foundation for development. This paper provides a requirement-based roadmap to support standardized PMx automation using DT technologies. Our systematic approach comprises two primary stages. First, we methodically identify the Informational Requirements (IRs) and Functional Requirements (FRs) for PMx, which serve as a foundation from which any unified framework must emerge. Our approach to defining and using IRs and FRs as the backbone of any PMx DT is supported by the proven success of these requirements as blueprints in other areas, such as product development in the software industry. Second, we conduct a thorough literature review across various fields to assess how these IRs and FRs are currently being applied within DTs, enabling us to identify specific areas where further research is needed to support the progress and maturation of requirement-based PMx DTs.","url":"https://doi.org/10.1016/j.aei.2024.102800","authors":["Sizhe Ma","Katherine A. Flanigan","Mario Bergés"],"tags":["Automation","State (computer science)","Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-09","doi":"https://doi.org/10.1016/j.aei.2024.102800","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4400036169","name":"Exploring the integration of digital twin and additive manufacturing technologies","source":"openalex","abstract":"This paper offers a comprehensive overview of recent advancements in digital twin technology applied to additive manufacturing (AM), focusing on recent research trends, methodologies, and the integration of machine learning. By identifying emerging developments and addressing challenges, it serves as a roadmap for future research. Specifically, it examines various AM types, evolving trends, and methodologies within digital twin frameworks, highlighting the role of machine learning in enhancing AM processes. Ultimately, the paper aims to underscore the significance of digital twin technology in advancing smart manufacturing practices. A total of 133 papers were identified for analysis through IEEExplore, ScienceDirect, Web of Science, and Google Scholar and web resource. Approximately 74% of the papers are journals and 21% are conferences and proceedings. Moreover, 78% of the journal papers were Q1 journals. The paper identifies the potential benefits of digital twins at different levels, the existing problems associated with implementing digital twin in additive manufacturing, recent advancements, the existing approaches, and the framework. This review provides a comprehensive overview of the current landscape of research in digital twin technology for additive manufacturing, utilizing the latest resources to identify cutting-edge developments and methodologies. Through an exploration of potential benefits and implementation challenges, the review offers valuable insights to researchers and practitioners in the field. Additionally, it contributes to the discourse by offering a nuanced discussion on future research directions, paving the way for further advancements.","url":"https://doi.org/10.1016/j.ijlmm.2024.06.004","authors":["Nursultan Jyeniskhan","Kemel Shomenov","Md. Hazrat Ali","Essam Shehab"],"tags":["Business","Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-26","doi":"https://doi.org/10.1016/j.ijlmm.2024.06.004","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4403781551","name":"Interoperability of Digital Twins: Challenges, Success Factors, and Future Research Directions","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-75390-9_3","authors":["István Dávid","Guodong Shao","Cláudio Gomes","Dawn M. Tilbury","Bassam Zarkout"],"tags":["Computer science","Interoperability","Software engineering","Data science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-25","doi":"https://doi.org/10.1007/978-3-031-75390-9_3","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4409164428","name":"Model‐Driven Engineering for Digital Twins: Opportunities and Challenges","source":"openalex","abstract":"ABSTRACT Digital twins are increasingly used across a wide range of industries. Modeling is a key to digital twin development—both when considering the models which a digital twin maintains of its real‐world complement (“models in digital twin”) and when considering models of the digital twin as a complex (software) system itself. Thus, systematic development and maintenance of these models is a key factor in effective and efficient digital twin development, maintenance, and use. We argue that model‐driven engineering (MDE), a field with almost three decades of research, will be essential for improving the efficiency and reliability of future digital twin development. To do so, we present an overview of the digital twin life cycle, identifying the different types of models that should be used and re‐used at different life cycle stages (including systems engineering models of the actual system, domain‐specific simulation models, models of data processing pipelines, etc.). We highlight some approaches in MDE that can help create and manage these models and present a roadmap for research towards MDE of digital twins.","url":"https://doi.org/10.1002/sys.21815","authors":["Judith Michael","Loek Cleophas","Steffen Zschaler","Tony Clark","Benoît Combemale","Thomas Godfrey","Djamel Eddine Khelladi","Vinay Kulkarni","Daniel Lehner","Bernhard Rumpe⋆","Manuel Wimmer","Andreas Wortmann"],"tags":["Systems engineering","Computer science","Engineering","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-02","doi":"https://doi.org/10.1002/sys.21815","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4283744194","name":"Digital Twin in Intelligent Transportation Systems: a Review","source":"openalex","abstract":"This study reviews the research works published in the last five years on Digital Twin (DT) technology for intelligent transportation systems, focusing on the use of DT in electromobility and autonomous vehicles. The review is carried out systematically, considering specific domains within intelligent transportation in which DT technology is applied in combination with Internet of Thing and 5G technologies. In addition, the paper discusses the current issues in electric vehicle services, such as tracking, monitoring, battery management systems, and connectivity, and how they can be addressed effectively through DT approaches.","url":"https://doi.org/10.1109/codit55151.2022.9804017","authors":["Wasim A. Ali","Michèle Roccotelli","Maria Pia Fanti"],"tags":["Intelligent transportation system","Internet of Things","Computer science","Intelligent decision support system","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-17","doi":"https://doi.org/10.1109/codit55151.2022.9804017","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3033936650","name":"Comparative Analysis of Platforms for Designing a Digital Twin","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-50794-7_1","authors":["D Adamenko","Steffen Kunnen","Arun Nagarajah"],"tags":["Digitization","Scope (computer science)","Computer science","Context (archaeology)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-50794-7_1","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4396830784","name":"An intelligent BIM-enabled digital twin framework for real-time structural health monitoring using wireless IoT sensing, digital signal processing, and structural analysis","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.eswa.2024.124204","authors":["Xi Hu","Gulsah Olgun","Rayan H. Assaad"],"tags":["Computer science","Structural health monitoring","Visualization","Digital signal processing","Wireless sensor network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-11","doi":"https://doi.org/10.1016/j.eswa.2024.124204","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4292266154","name":"A Blockchain-Enabled Secure Digital Twin Framework for Early Botnet Detection in IIoT Environment","source":"openalex","abstract":"Resource constraints in the Industrial Internet of Things (IIoT) result in brute-force attacks, transforming them into a botnet to launch Distributed Denial of Service Attacks. The delayed detection of botnet formation presents challenges in controlling the spread of malicious scripts in other devices and increases the probability of a high-volume cyberattack. In this paper, we propose a secure Blockchain-enabled Digital Framework for the early detection of Bot formation in a Smart Factory environment. A Digital Twin (DT) is designed for a group of devices on the edge layer to collect device data and inspect packet headers using Deep Learning for connections with external unique IP addresses with open connections. Data are synchronized between the DT and a Packet Auditor (PA) for detecting corrupt device data transmission. Smart Contracts authenticate the DT and PA, ensuring malicious nodes do not participate in data synchronization. Botnet spread is prevented using DT certificate revocation. A comparative analysis of the proposed framework with existing studies demonstrates that the synchronization of data between the DT and PA ensures data integrity for the Botnet detection model training. Data privacy is maintained by inspecting only Packet headers, thereby not requiring the decryption of encrypted data.","url":"https://doi.org/10.3390/s22166133","authors":["Mikail Mohammed Salim","Alowonou Kowovi Comivi","Tojimurotov Nurbek","Heejae Park","Jong Hyuk Park"],"tags":["Botnet","Computer science","Computer security","Network packet","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-16","doi":"https://doi.org/10.3390/s22166133","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2963799295","name":"A Digital Twin Model for Enhancing Performance Measurement in Assembly Lines","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-18732-3_4","authors":["Christos I. Papanagnou"],"tags":["Digital manufacturing","Manufacturing engineering","Production (economics)","Production line","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-07-22","doi":"https://doi.org/10.1007/978-3-030-18732-3_4","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3132884379","name":"Equipment Design Optimization Based on Digital Twin Under the Framework of Zero-Defect Manufacturing","source":"openalex","abstract":"A digitalized Smart Factory can be considered as a data island. Moreover, engineers have focused on the development of new technologies and techniques not only for transforming information to data but also to achieve efficient data utilization to further optimize manufacturing processes. However, the Zero-Defect Manufacturing concept has emerged, where the main goal is production optimization. The cornerstone in achieving the factories of the future is to further optimize the design of new assets so as they comply with the unique requirements of the customers. Therefore, this paper proposes the conceptualization, design, and initial development of a platform for the utilization of data derived from industrial environments for the optimization of the equipment design. The main aspects of the proposed framework are the data acquisition, data processing and the simulation. The applicability of the proposed framework has been tested in a laboratory-based machine shop utilizing data from a real-life industrial scenario.","url":"https://doi.org/10.1016/j.procs.2021.01.271","authors":["Dimitris Mourtzis","John Angelopoulos","Nikos Panopoulos"],"tags":["Computer science","Factory (object-oriented programming)","Conceptualization","Production (economics)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procs.2021.01.271","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4389355268","name":"Digital Twin Technologies in Transportation Infrastructure Management","source":"openalex","abstract":"This book Learns how digital twins are revolutionizing infrastructure engineering and management i.e., design, construction and maintenance.","url":"https://doi.org/10.1007/978-981-99-5804-7","authors":["Wenjuan Wang","Qasim Zaheer","Shi Qiu","Weidong Wang","Chengbo Ai","Jin Wang","Sicheng Wang","Wenbo Hu"],"tags":["Business","Engineering","Computer science","Construction engineering","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-05","doi":"https://doi.org/10.1007/978-981-99-5804-7","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4407900223","name":"A Comprehensive Review on Cybersecurity of Digital Twins Issues, Challenges, and Future Research Directions","source":"openalex","abstract":"This systematic literature review examines existing literature to determine how Digital Twin (DT) technology can enhance security, with an emphasis on emerging issues, approaches, and proposals in cybersecurity. The review categorizes selected studies based on the techniques used to protect DTs: Machine Learning (ML) and non-machine learning techniques. DTs are classified into five types: component level, process level, asset level, system level, and network of systems level, each with unique applications and corresponding cybersecurity threats. The main conclusions highlight medium to very high perceived risks depending on the DT type and industry implementation. Results identify the most common types of attacks on DTs, various security enhancement techniques, and the sectors that utilize DTs. Future research should focus on developing more effective security paradigms, technologies, and integration schemes to reduce risks and maximize DT technology’s potential. This review presents the current status of DT-related cybersecurity and explores ways to enhance security against emerging cyber risks.","url":"https://doi.org/10.1109/access.2025.3545004","authors":["Norah Alhumam","M. M. Hafizur Rahman","Ahmed Aljughaiman"],"tags":["Computer science","Computer security","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3545004","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4402508647","name":"Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach","source":"openalex","abstract":"Digital twins (DTs) have emerged as a promising enabler for representing the real-time states of physical worlds and realizing self-sustaining systems. In practice, DTs of physical devices, such as mobile users (MUs), are commonly deployed in multi-access edge computing (MEC) networks for the sake of reducing latency. To ensure the accuracy and fidelity of DTs, it is essential for MUs to regularly synchronize their status with their DTs. However, MU mobility introduces significant challenges to DT synchronization. Firstly, MU mobility triggers DT migration which could cause synchronization failures. Secondly, MUs require frequent synchronization with their DTs to ensure DT fidelity. Nonetheless, DT migration among MEC servers, caused by MU mobility, may occur infrequently. Accordingly, we propose a two-timescale DT synchronization and migration framework with reliability consideration by establishing a non-convex stochastic problem to minimize the long-term average energy consumption of MUs. We use Lyapunov theory to convert the reliability constraints and reformulate the new problem as a partially observable Markov decision-making process (POMDP). Furthermore, we develop a heterogeneous agent proximal policy optimization with Beta distribution (Beta-HAPPO) method to solve it. Numerical results show that our proposed Beta-HAPPO method achieves significant improvements in energy savings when compared with other benchmarks.","url":"https://doi.org/10.1109/twc.2024.3452689","authors":["Wenshuai Liu","Yaru Fu","Yongna Guo","Fu Lee Wang","Wen Sun","Yan Zhang"],"tags":["Reinforcement learning","Computer science","Synchronization (alternating current)","Artificial intelligence","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-13","doi":"https://doi.org/10.1109/twc.2024.3452689","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4408175675","name":"Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook","source":"openalex","abstract":"• Four-level DT framework spans descriptive to prescriptive functionality. • Sensing and machine learning into reflective twins for dynamic updates. • Deterioration modelling and multi-physics simulations underpin predictive twin. • Progress and insights of multi-criteria decision makings for intervention. • Industry 5.0 shifts DTs from technology-focused to value-focused infrastructure. Underground infrastructure, designed to last for decades, play a vital role in urban life. Its maintenance and upkeep have significant societal values and contribute to sustainability. Simulation and modelling along with digitisation and virtualisation as key technologies in the context of Industry 4.0 have fundamentally transformed delivery of engineering projects. With climate change pose pressing challenges on the physical environment of human dwelling, infrastructure resilience has been strategised as a sustainable development goal. Inception of Industry 5.0 has been formulated surrounding this need incentivising to build and maintain with sustainability, resilience and human-centric as core values. Digital twin (DT) paradigm facilitated by a series of cross-disciplinary technologies has emerged to play a role toward these targets. Along with data management and artificial intelligence (AI), DTs present transforming potentials from a technology-focus approach to a value-focus approach. This paper conducts a systematic review on generation and applications of DTs for underground infrastructure maintenance, highlighting the multi-physics, multi-scale, and interdisciplinary characteristics of underground infrastructure. After examining challenges and opportunities for underground infrastructure, and thoroughly reviewing the existing definitions and maturity levels of DT in Section 1 , a DT framework for maintenance is established under the “Descriptive-Reflective-Predictive-Prescriptive” maturity model featuring progressive function requirements, forming 2 Descriptive twin , 2.1 BIM multi-system modelling , 2.1.1 BIM for underground infrastructure , 2.1.2 Geo- and structural model , 2.2 Functions and interoperability of digitalisation , 2.3 BIM for maintenance , 3 Reflective twin , 3.1 Sensing technologies , 3.2 Data-driven interpretation , 3.3 Data fusion and augmentation , 3.4 Interoperability and semantics , 4 Predictive twin , 4.1 Deterioration modelling , 4.1.1 Physics-based methods , 4.1.2 Machine learning methods , 4.2 Multi-physics simulation , 4.2.1 Interoperability and computational scalability , 4.2.2 Case studies , 4.3 Towards interpretable and reliable predictive twin , 5 Prescriptive twin of the paper. Section 2 focuses on reviewing information modelling techniques for creating a descriptive twin, essentially answering the question of “what is it”. Section 3 explores sensing technologies and data-driven analytics to develop a reflective twin, addressing applications requiring the knowledge of “what is happening”. Section 4 examines methods of deterioration modelling and multi-physics simulations to establish a predictive twin, providing insights into “what will happen”. Section 5 investigates approaches to intervention decision-making through service-oriented and multi-criteria frameworks, providing outlook into a prescriptive twin that addresses “what should be done”. Finally, a brief summary and some prospects requiring further investigations are presented.","url":"https://doi.org/10.1016/j.tust.2025.106508","authors":["Huamei Zhu","Mengqi Huang","Pei-Qi Ji","Feng Xiao","Qianbing Zhang"],"tags":["State (computer science)","Engineering","Forensic engineering","Construction engineering","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-06","doi":"https://doi.org/10.1016/j.tust.2025.106508","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4406455076","name":"Digital twin-based gearbox fault diagnosis using variational mode decomposition and dynamic vibration modeling","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.measurement.2025.116669","authors":["Houssem Habbouche","Yassine Amirat","Tarak Benkedjouh","Mohamed Benbouzid"],"tags":["Vibration","Fault (geology)","Dynamic mode decomposition","Mode (computer interface)","Decomposition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-16","doi":"https://doi.org/10.1016/j.measurement.2025.116669","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2901396560","name":"Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful?","source":"openalex","abstract":"The digital twin offers a potentially powerful way of using simulation to support business and change the way industrial operations are done. The idea of the digital twin is not new but recent changes in information technology make implementation of digital twins a natural next step in the application of simulation technologies. Simulation practitioners will find that their models are increasingly embedded in complex systems that combine simulations with operational data to solve a business problem. However, the successful adoption of this approach is challenging. This paper asks the question: \"How can digital twins be made sustainable, maintainable and useful?\". We focus primarily on the development of twins in the oil and gas industry. Most academic work in this area has been done in the manufacturing industries. We review this literature and propose a simple model of digital twins. This allows us to identify challenges with current implementations and propose a research agenda that will allow future twins to be sustainable, maintainable and usable.","url":"https://doi.org/10.3384/ecp181539","authors":["David Cameron","Arild Waaler","Tiina M. Komulainen"],"tags":["Computer science","Fossil fuel","Petroleum engineering","Waste management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-11-19","doi":"https://doi.org/10.3384/ecp181539","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4392909051","name":"Digital Twins and Control Theory: A Critical Review on Revolutionizing Quadrotor UAVs","source":"openalex","abstract":"This work explores the crucial roles that control theory and digital twins play in enhancing the performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It describes how the novel idea of digital twins combined with control theory could alter operations. Some basic ideas, such as the underactuated UAV model, various control schemes, and innovative techniques to improve autonomy and performance in QUAV missions in dynamic circumstances, may also be of interest to readers. It highlights recent developments and presents a game-changing idea of combining digital twin with computer vision, amalgamating artificial intelligence and internet of things like elements to improve sensing and perception better for autonomous flight control, human-UAV interaction, energy-efficient flight, and swarming UAVs. The reader may finally find suggestions for applying control theory and understandings of how incorporating digital twin technology could boost its revolutionary potential.","url":"https://doi.org/10.1109/access.2024.3376589","authors":["Ghulam E Mustafa Abro","Ayman M. Abdallah"],"tags":["Underactuation","Computer science","Perception","Control (management)","Game theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3376589","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4313066053","name":"Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis","source":"openalex","abstract":"Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest. In this context, this paper presents a predictive maintenance tool of electric motors using the concepts of Digital Twin (DT) and Industrial Internet of Things (IIoT). The proposed system is innovative, as it monitors the motor current and temperature by means of sensors and a low-cost acquisition module, and these measurements are sent via Wi-Fi to a database. The concept of DT was leveraged by providing the measurements as inputs to a high-fidelity strongly-coupled model of the monitored monitor, using the Finite Element Method (FEM). The results obtained are satisfactory, because the sensors used presented acceptable errors that do not interfere with the reliability of the results. The computer simulation showed relative errors below 4% in the conductivity analysis and 10% in the temperature analysis. In addition, the simulation allows verifying the internal temperature of the motor, its resistive losses, and the intensity of the magnetic flux at each pole. It is worth pointing out that the internal analysis performed is only possible due to the combination of IIoT and computer simulations. Therefore, they allow a better diagnosis of the motor’s operational status and also a time estimate for the next maintenance service, thus being ideal for the industrial sector.","url":"https://doi.org/10.1109/access.2022.3232063","authors":["Jhennifer Freitas dos Santos","Bendict Katukula Tshoombe","Lucas H. B. Santos","Ramon C. F. Araújo","Allan R. A. Manito","Wellington da Silva Fonseca","Marcelo de Oliveira e Silva"],"tags":["Finite element method","Induction motor","Computer science","Internet of Things","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-23","doi":"https://doi.org/10.1109/access.2022.3232063","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4387986919","name":"Thermal Digital Twin of Power Electronics Modules for Online Thermal Parameter Identification","source":"openalex","abstract":"The assessment of the state of health of power semiconductors and the use of thermal observers rely on precise knowledge of the thermal impedance of the device, which is hard to monitor online with state-of-the-art approaches. This work proposes thermal digital twins (DTs), which create a real-time-capable digital replica of the physical thermal behavior and enable monitoring the thermal impedance online. The particle swarm optimization (PSO) algorithm and the dual extended Kalman filter (DEKF) are used to extract the thermal model for online monitoring. This is demonstrated for both approaches via a real-time simulation (RTS) where the reference chip temperature is given by a digital thermal model. A comparison of the approaches is given and the DEKF-based approach is chosen for the implementation of a multichip model with thermal cross-coupling. The convergence of the DEKF-based DTs is experimentally validated in the laboratory.","url":"https://doi.org/10.1109/jestpe.2023.3328219","authors":["Johannes Kuprat","Karthik Debbadi","Joscha Schaumburg","Marco Liserre","Marius Langwasser"],"tags":["Thermal","Electronic engineering","Computer science","Chip","Replica"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-27","doi":"https://doi.org/10.1109/jestpe.2023.3328219","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3004525680","name":"INDUSTRY 4.0 AND THE DIGITAL TWIN FOR BUILDING INDUSTRY","source":"openalex","abstract":"Technology and innovations have powered the evolution of Industry4.0, the fourth industrial revolution.\r\nState-of-the-art technologies such as the Internet of Things (IoT), cloud computing (CC), big data analytics (BDA), and artificial intelligence (AI) – all part of Industry4.0, have greatly stimulated the building industry. Digital Тwin is a significant enabler for Industry 4.0 initiatives. Within Industry 4.0, the amount of digital product information generated and collected over the entire lifecycle has been growing.\r\nAlthough digital twins have been around for several decades, the rapid rise of the internet of things (IoT) is that they have become more widely considered as a tool of the future. Digital twins are getting attention because they also integrate things like artificial intelligence (AI) and machine learning (ML) to bring data, algorithms, and context together\r\nA ―digital twin‖—or digital replica of a physical entity—can target building industry in several sub-areas:\r\n- Facility management\r\n- Product Lifecycle Management\r\n- Smart Buildings\r\n- Smart energy\r\nAll these areas are one giant step further by creating a Digital Twin — a virtual representation of real-world buildings that can be viewed and scrutinized in minute detail. This research describes business cases and best practices in design of IoT Solutions for building industry, powered by Digital Twins. A reference architecture and prototypes which demonstrate application of Digital Twins in Smart are created as a result of this study .This research is technology agnostic, but prototypes of sample solutions are considered in the context of Microsoft Azure (Azure solutions, covering Azure Digital Twins Service and Azure IoT Stack.)","url":"https://openalex.org/W3004525680","authors":["Mihail Mateev"],"tags":["Industry 4.0","Cloud computing","Context (archaeology)","Big data","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4311053324","name":"Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university","source":"openalex","abstract":"The integrated use of building information modeling (BIM) and geographic information system (GIS) is promising for the development of asset management systems (AMSs) for operation and maintenance (O&M) in smart university campuses. The combination of BIM-GIS with cognitive digital twins (CDTs) can further facilitate the management of complex systems such as university building stock. CDTs enable buildings to behave as autonomous entities, dynamically reacting to environmental changes. Timely decisions based on the actual conditions of buildings and surroundings can be provided, both in emergency scenarios or when optimized and adaptive performances are required. The research aims to develop a BIM-GIS-based AMS for improving user experience and enabling the optimal use of resources in the O&M phase of an Italian university. Campuses are complex assets, mainly diffused with buildings spread across the territory, managed with still document-based and fragmented databases handled by several subjects. This results in incomplete and asymmetrical information, often leading to ineffective and untimely decisions. The paper presents a methodology for the development of a BIM-GIS web-based platform (i.e., AMS-app) providing the real-time visualization of the asset in an interactive 3D map connected to analytical dashboards for management support. Two buildings of the University of Turin are adopted as demonstrators, illustrating the development of an easily accessible, centralized database by integrating spatial and functional data, useful also to develop future CDTs. As a first attempt to show the AMS app potential, crowd simulations have been conducted to understand the buildings’ actual level of safety in case of fire emergency and demonstrate how CDTs could improve it. The identification of data needed, also gathered through the future implementation of suitable sensors and Internet of Things networks, is the core issue together with the definition of effective asset visualization and monitoring methods. Future developments will explore the integration of artificial intelligence and immersive technologies to enable space use optimization and real-time wayfinding during evacuation, exploiting digital tools to alert and drive users or authorities for safety improvement. The ability to easily optimize the paths with respect to the actual occupancy and conditions of both the asset and surroundings will be enabled.","url":"https://doi.org/10.3389/fbuil.2022.959475","authors":["Silvia Meschini","Laura Pellegrini","Mirko Locatelli","Daniele Accardo","Lavinia Chiara Tagliabue","Giuseppe Martino Di Giuda","Marco Avena"],"tags":["Asset management","Asset (computer security)","Geographic information system","Building information modeling","Facility management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.3389/fbuil.2022.959475","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4391248422","name":"A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks","source":"openalex","abstract":"Lithium-ion (Li-ion) batteries are the preferred choice for energy storage applications. Li-ion performances degrade with time and usage, leading to a decreased total charge capacity and to an increased internal resistance. In this article, the wavelet analysis is used to filter the voltage and current signals of the battery to estimate the internal complex impedance as a function of state of charge (SoC) and state of health (SoH). The collected data are then used to synthesize a battery digital twin (BDT). This BDT outputs a realistic voltage signal as a function of SoC and SoH inputs. The BDT is based on feedforward neural networks trained to simulate the complex internal impedance and the open-circuit voltage generator. The effectiveness of the proposed method is verified on the dataset from the prognostics data repository of NASA.","url":"https://doi.org/10.1109/tii.2024.3355124","authors":["Roberta Di Fonso","Remus Teodorescu","Carlo Cecati","Pallavi Bharadwaj"],"tags":["Prognostics","Electronic engineering","Internal resistance","Electrical impedance","Voltage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-26","doi":"https://doi.org/10.1109/tii.2024.3355124","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3176889999","name":"Decision-making in a fast fashion company in the Industry 4.0 era: a Digital Twin proposal to support operational planning","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-021-07543-z","authors":["Carlos Henrique dos Santos","Gustavo Teodoro Gabriel","João Victor Soares do Amaral","José Arnaldo Barra Montevechi","José Antônio de Queiroz"],"tags":["Agile software development","Operations research","Variety (cybernetics)","Decision support system","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-02","doi":"https://doi.org/10.1007/s00170-021-07543-z","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4379980154","name":"Digital Twins and Automation of Care in the Intensive Care Unit","source":"openalex","abstract":"Healthcare is under increasing demand pressure as societies age and expectations rise, multiplied by increasing incidence of chronic diseases and decreasing available funding. The fundamental issue is the signal lack of productivity gains in medical care over the last four decades with the advent of digital technologies compared to many other fields of human endeavor. There is thus a need to bring digital technologies and automation to improve productivity and personalize care, improving costs and outcomes for patients and providers. Cyber–physical–human system s ( CPHS ), mixing digital technologies, computation, clinical staff, and patient physiology, offer a route forward. Critical care is one of the most technology-laden areas of healthcare, one of the biggest areas of patient growth with demographic change, and one of the costliest areas of care. Consuming 8–10% of healthcare expenditure (0.8–1.5% GDP) for less than 1% of patients, the intensive care unit ( ICU ) presents a major opportunity for CPHS systems to have an impact in creating the productive, next-generation care required to meet the demand for improved productivity and care. Personalized care, moving from today's one size fits all protocolized care to adaptive, model-based one method fits all care through model-based automation or clinician in the loop semiautomation is the means by which CPHS can enter this realm to positive impact. More specifically, digital twins or virtual patient models, personalized at the bedside in real-time, provide the means to optimize care by linking sensor measurements to outcome focused care actions, enabling personalized control. Digital twins and the so-called “hyper-automation” solutions have been leading technology trends for the last few years, but have yet to come to medicine. This review covers the increasing development of digital twins for medicine, and intensive care in particular, as the foundation for CPHS medical automation to improve care and productivity to meet rising demand. It covers the integrated role played by social sciences in the development, translation, and adoption of innovation, where medicine is historically conservative in adopting innovative solutions and technologies. It ends with a vision of the future from technical, social-behavioral, and combined overall perspectives for digital twins in this domain. CPHS solutions founded on digital twins offer the potential for a step change in ICU care, simultaneously increasing productivity, personalization, and quality of outcomes, while reducing the cost of care. Where the ICU is technology laden and thus most susceptible to this form of automation and disruption, the approach is general and will eventually spread to further areas of healthcare.","url":"https://doi.org/10.1002/9781119857433.ch17","authors":["J. Geoffrey Chase","Cong Zhou","Jennifer L. Knopp","Knut Möeller","Balázs Benyó","Thomas Desaive","Jennifer Wong","Sanna Malinen","Katharina Näswall","Geoffrey M. Shaw","Bernard Lambermont","Yeong Shiong Chiew"],"tags":["Health care","Productivity","Automation","Business","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-09","doi":"https://doi.org/10.1002/9781119857433.ch17","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2909385066","name":"Demonstration of an Industrial Framework for an Implementation of a Process Digital Twin","source":"openalex","abstract":"Digital twins have received a large amount of exposure around what they can offer to industry generating lots of noise, however there are few demonstrations utilizing published architectural frameworks. This has been addressed by investigating industrial publications and reports on what is the minimum essential requirements to form a digital twin and additional desirable features. From this, a generic industrial architectural framework of a digital twin has been established to utilize real-time information from a physical asset forming a monitoring digital twin. This has been expanded to incorporate a Discrete Event Simulation (DES) to form a process digital twin utilizing structured information about the process. The framework, including the DES extension, has been validated on a reconfigurable fixture utilizing an established process that has been modelled using Siemens Plant Simulation. This result forms the start of a feedback loop presenting additional value transforming a monitoring digital twin into a process digital twin. This provides a solid foundation for discussion within the industrial community about defining the core functionality required for digital twins.","url":"https://doi.org/10.1115/imece2018-87361","authors":["Jonathan M. Eyre","Tony J. Dodd","Christopher Freeman","Richard Lanyon-Hogg","A J Lockwood","Rab Scott","Chris Freeman","Aiden J. Lockwood","Rab W. Scott"],"tags":["Process (computing)","Computer science","Systems engineering","Engineering","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-11-09","doi":"https://doi.org/10.1115/imece2018-87361","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4316042010","name":"Game theory in network security for digital twins in industry","source":"openalex","abstract":"To ensure the safe operation of industrial digital twins network and avoid the harm to the system caused by hacker invasion, a series of discussions on network security issues are carried out based on game theory. From the perspective of the life cycle of network vulnerabilities, mining and repairing vulnerabilities are analyzed by applying evolutionary game theory. The evolution process of knowledge sharing among white hats under various conditions is simulated, and a game model of the vulnerability patch cooperative development strategy among manufacturers is constructed. On this basis, the differential evolution is introduced into the update mechanism of the Wolf Colony Algorithm (WCA) to produce better replacement individuals with greater probability from the perspective of both attack and defense. Through the simulation experiment, it is found that the convergence speed of the probability (X) of white Hat 1 choosing the knowledge sharing policy is related to the probability (x0) of white Hat 2 choosing the knowledge sharing policy initially, and the probability (y0) of white hat 2 choosing the knowledge sharing policy initially. When y0 = 0.9, X converges rapidly in a relatively short time. When y0 is constant and x0 is small, the probability curve of the “cooperative development” strategy converges to 0. It is concluded that the higher the trust among the white hat members in the temporary team, the stronger their willingness to share knowledge, which is conducive to the mining of loopholes in the system. The greater the probability of a hacker attacking the vulnerability before it is fully disclosed, the lower the willingness of manufacturers to choose the \"cooperative development\" of vulnerability patches. Applying the improved wolf colony-co-evolution algorithm can obtain the equilibrium solution of the \"attack and defense game model\", and allocate the security protection resources according to the importance of nodes. This study can provide an effective solution to protect the network security for digital twins in the industry.","url":"https://doi.org/10.1016/j.dcan.2023.01.004","authors":["Hailin Feng","Dongliang Chen","Haibin Lv","Zhihan Lv"],"tags":["Hacker","Computer science","Vulnerability (computing)","Game theory","Harm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-14","doi":"https://doi.org/10.1016/j.dcan.2023.01.004","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2899007640","name":"A Case Study for a Digital Twin of Body-in-White Production Systems General Concept for Automated Updating of Planning Projects in the Digital Factory","source":"openalex","abstract":"Increasing competition in the automotive industry makes cost-saving integration of more and more vehicle derivatives and variants such as sedans, coupes, cabriolets as well as electrical and combustion engine models into existing production systems necessary. At the same time, the production planners face a major challenge while integrating vehicle bodies-in-white. In contrast to the original concept and rough planning state, the automated production plants are continuously optimized during the detail planning phase as well as after the start of production as a result of improved processes and model upgrading. For fast integration of new vehicles, a current digital image of the real production plant - the so-called Digital Twin - is groundbreaking. This Digital Twin of a factory consists of a current bill of resources for cost calculation and a current layout planning state. The paper describes a concept for creating a Digital Twin of a body-in-white production system for the concept and rough planning projects. In the internal concept planning phase, planners do cost calculations and layouts for ordering factory suppliers. However, for integration planning, the original concept and rough planning project have to be updated. Therefore, a new concept has been developed which uses current information from the cyber-physical system and a current 3D scan to update the bill of resources and the layout planning on demand.","url":"https://doi.org/10.1109/etfa.2018.8502467","authors":["Florian Biesinger","Dāvis Meike","Benedikt Krass","Michael Weyrich"],"tags":["Factory (object-oriented programming)","Production planning","Automotive industry","Production (economics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-09-01","doi":"https://doi.org/10.1109/etfa.2018.8502467","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4312878571","name":"A Novel Anomaly Detection Method for Digital Twin Data Using Deconvolution Operation With Attention Mechanism","source":"openalex","abstract":"In recent years, industrial control systems have evolved toward stability and efficiency, increasing industrial control systems interconnected with the Internet, which means that industrial control systems are facing more serious cyber threats. Thus, it is critical for enterprises to consider issues related to data privacy and network security. Digital twin enables real-time synchronization and simulation of data from various physical components of industrial control systems. However, anomaly detection of twin data is still challenging because existing methods are usually multi-stage with tedious training and detection steps. Therefore, we propose a method called end-to-end anomaly detection with the aim to accomplish real-time anomaly detection quickly and accurately. In order to seek key features, multidimensional deconvolutional network and attention mechanism are applied to our model. The results of this study indicate that our method performs well on precision and F1 score in comparison to the state-of-art methods.","url":"https://doi.org/10.1109/tii.2022.3231923","authors":["Zheng Li","Mingxing Duan","Bin Xiao","Shenghong Yang"],"tags":["Anomaly detection","Computer science","Data mining","Stability (learning theory)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-26","doi":"https://doi.org/10.1109/tii.2022.3231923","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4402779278","name":"The Role of Multi-Agents in Digital Twin Implementation: Short Survey","source":"openalex","abstract":"In recent years, Digital Twin (DT) technology has emerged as a significant technological advancement. A digital twin is a digital representation of a physical asset that mirrors its data model, behaviour, and interactions with other physical assets. Digital Twin aims at achieving adaptability, seamless data integration, modelling, simulation, automation, and real-time data management. The primary goal of this article is to explore the role of agents in DT implementations, seeking to understand their predominant usage scenarios and purposes. From our perspective, agents serving as intelligent entities play a role in realising the features of DTs. This article also discusses the gaps in DT, highlights future directions, and analyses various technologies integrated with multi-agent systems technologies in DT implementations. Finally, the article briefly discusses an overview of an architecture to implement a DT for smart agriculture with multi-agents.","url":"https://doi.org/10.1145/3697350","authors":["Yogeswaranathan Kalyani","Rem Collier"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-24","doi":"https://doi.org/10.1145/3697350","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4404797425","name":"A Digital Twin-Based Digital Product Passport","source":"openalex","abstract":"Food supply chains face increasing demands for transparency and sustainability. The Digital Product Passport (DPP), under development in the European Union, can contribute to this purpose by sharing relevant product information with all stakeholders. This research aims to develop a digital twin-based architecture for DPPs and design a prototype for GEOfood products that includes environmental, social, and economic sustainability. Our methodology follows the design science research paradigm. The work was conducted in cooperation with a UNESCO Global Geopark and the GEOfood seal, which certifies food production in regions with unique geological relevance protected by UNESCO. The results include (1) an architecture for digital twin-based DPPs and (2) the design of a DPP prototype for GEOfood products. A formative evaluation was conducted through qualitative interviews with industry experts. Our contribution also includes the integration of social and economic dimensions into the DPP, extending the traditional focus on environmental sustainability data and exemplifying its adoption in supply chains of certified products. Practitioners may find our results inspiring for digital infrastructures capable of real-time monitoring and automatic generation of DPPs that adhere to the tenets of circular economy and human-centric production.","url":"https://doi.org/10.1016/j.procs.2024.09.251","authors":["José Monteiro","João Barata","Sara Gentilini"],"tags":["Computer science","Product (mathematics)","Geometry","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procs.2024.09.251","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4400275536","name":"Internet of Federated Digital Twins: Connecting Twins Beyond Borders for Society 5.0","source":"openalex","abstract":"The concept of digital twin (DT), which enables the creation of a programmable, digital representation of physical systems, is expected to revolutionize future industries and will lie at the heart of the vision of a future smart society, namely, Society 5.0, in which high integration between cyber (digital) and physical spaces is exploited to bring economic and societal advancements. However, the success of such a DT-driven Society 5.0 requires a synergistic convergence of artificial intelligence and networking technologies into an integrated, programmable system that can coordinate DT networks to effectively deliver diverse Society 5.0 services. Prior works remain restricted to either qualitative study, simple analysis or software implementations of a single DT, and thus, they cannot provide the highly synergistic integration of digital and physical spaces as required by Society 5.0. In contrast, this paper envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates heterogeneous and physically separated DTs representing different Society 5.0 services within a single framework and system. For this concept of IoFDT, we first introduce a hierarchical architecture that integrates federated DTs through horizontal and vertical interactions, bridging cyber and physical spaces to unlock new possibilities. Then, we discuss challenges of realizing IoFDT, highlighting the intricacies across communication, computing, and AI-native networks while also underscoring potential innovative solutions. Subsequently, we elaborate on the importance of the implementation of a unified IoFDT platform that integrates all technical components and orchestrates their interactions, emphasizing the necessity of practical experimental platforms with a focus on real-world applications in areas like smart mobility.","url":"https://doi.org/10.1109/iotm.001.2300279","authors":["Tao Yu","Zongdian Li","Omar Hashash","Kei Sakaguchi","Walid Saad","Mérouane Debbah"],"tags":["The Internet","Internet privacy","Political science","World Wide Web","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-03","doi":"https://doi.org/10.1109/iotm.001.2300279","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3119376742","name":"Application and research on digital twin in electronic cam servo motion control system","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-020-06553-7","authors":["Jiangtao Xu","Tongjun Guo"],"tags":["Control engineering","Motion control","Servo drive","Engineering","Servo control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/s00170-020-06553-7","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4403583580","name":"A perception-powered urban digital twin to support human-centered urban planning and sustainable city development","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cities.2024.105473","authors":["Junjie Luo","Pengyuan Liu","Wenhui Xu","Tianhong Zhao","Filip Biljecki"],"tags":["Urban planning","Perception","Sustainable development","Environmental planning","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-20","doi":"https://doi.org/10.1016/j.cities.2024.105473","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3119613625","name":"The Concept of a Digital Twin and Its Potential for Learning Organizations","source":"openalex","abstract":"Abstract The digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?","url":"https://doi.org/10.1007/978-3-030-55878-9_6","authors":["Angelina Berisha-Gawlowski","Carina Caruso","Christian Harteis"],"tags":["Digital transformation","Control (management)","Knowledge management","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-3-030-55878-9_6","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4296698877","name":"The use of digital twins to remotely update feedback controllers for the motion control of nonlinear dynamic systems","source":"openalex","abstract":"• A digital twin is employed to ensure the stability of a mechanical system with an uncertain nonlinear sandwiched backlash. • A time-varying backlash is modelled and used in the simulation to represent wear processes. • A PID controller with a dead zone switching law is used to avoid limit cycles and restabilize the system. • Asynchronous communication and buffers are utilized to ensure constant sampling time and reduce the controller complexity. The use of a digital twin to update a feedback controller is considered, and this is illustrated using simulations of a position-controlled dynamical system with a time-varying nonlinear element. The feedback control system consists of a dc motor driving the displacement of a three degree of freedom structure through a lead screw that is subject to backlash, whose gap angle changes over time due to wear for example. The backlash is shown to destabilise the feedback loop when using a PID controller designed for the linear system. However, stability can then be re-established by including a dead zone within the controller. The design of the dead zone depends on the extent of the gap angle in the backlash and is a trade-off between stabilising the system and avoiding excessive steady-state errors and undesired transient behaviour. When the backlash gap angle changes significantly from the one used to design the dead zone, both performance and stability are affected. Therefore, a digital twin of the system is used to estimate the backlash gap angle as it changes with time and this estimate is used to re-design the dead zone, which is then communicated back to update the controller. The digital twin and controller-design process can be implemented offline and remotely from the physical twin and the real-time controller via an asynchronous link with variable time delays. As a result of combining the feedback loop and digital twin, good performance and stability are maintained at all times.","url":"https://doi.org/10.1016/j.ymssp.2022.109770","authors":["Yoav Vered","Stephen J. Elliott"],"tags":["Nonlinear system","Control theory (sociology)","Control engineering","Motion (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-21","doi":"https://doi.org/10.1016/j.ymssp.2022.109770","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4392292308","name":"An online monitoring method of milling cutter wear condition driven by digital twin","source":"openalex","abstract":"Real-time online tracking of tool wear is an indispensable element in automated machining, and tool wear directly impacts the processing quality of workpieces and overall productivity. For the milling tool wear state is difficult to real-time visualization monitoring and individual tool wear prediction model deviation is large and is not stable and so on, a digital twin-driven ensemble learning milling tool wear online monitoring novel method is proposed in this paper. Firstly, a digital twin-based milling tool wear monitoring system is built and the system model structure is clarified. Secondly, through the digital twin (DT) data multi-level processing system to optimize the signal characteristic data, combined with the ensemble learning model to predict the milling cutter wear status and wear values in real-time, the two will be verified with each other to enhance the prediction accuracy of the system. Finally, taking the milling wear experiment as an application case, the outcomes display that the predictive precision of the monitoring method is more than 96% and the prediction time is below 0.1 s, which verifies the effectiveness of the presented method, and provides a novel idea and a new approach for real-time on-line tracking of milling cutter wear in intelligent manufacturing process.","url":"https://doi.org/10.1038/s41598-024-55551-2","authors":["Xintian Zi","Shangshang Gao","Yang Xie"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-29","doi":"https://doi.org/10.1038/s41598-024-55551-2","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3215168085","name":"The Internet-of-Buildings (IoB) — Digital twin convergence of wearable and IoT data with GIS/BIM","source":"openalex","abstract":"Abstract Internet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These technologies provide copious amounts of high-quality temporal data pertaining to indoor and outdoor environmental quality, comfort, and energy consumption. However, a barrier to their use in many applications is the lack of spatial context in the built environment. Adding Building Information Models (BIM) and Geographic Information Systems (GIS) to these temporal sources unleashes potential. We call this data convergence the Internet-of-Buildings or IoB. In this paper, a digital twin case study of data intersection from various systems is outlined. Initial insights are discussed for an experiment with 17 participants that focused on the collection of occupant subjective feedback to characterize indoor comfort. The results illustrate the ability to capture data from wearables in the context of a BIM data environment.","url":"https://doi.org/10.1088/1742-6596/2042/1/012041","authors":["Clayton Miller","Mahmoud Abdelrahman","Adrian Chong","Filip Biljecki","Matías Quintana","Mario Frei","Michael Yit Lin Chew","Daniel Fu Keung Wong"],"tags":["Context (archaeology)","Wearable computer","Computer science","Intersection (aeronautics)","Wearable technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-01","doi":"https://doi.org/10.1088/1742-6596/2042/1/012041","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4211242537","name":"Bridge Digital Twinning Using an Output-Only Bayesian Model Updating Method and Recorded Seismic Measurements","source":"openalex","abstract":"Rapid post-earthquake damage diagnosis of bridges can guide decision-making for emergency response management and recovery. This can be facilitated using digital technologies to remove the barriers of manual post-event inspections. Prior mechanics-based Finite Element (FE) models can be used for post-event response simulation using the measured ground motions at nearby stations; however, the damage assessment outcomes would suffer from uncertainties in structural and soil material properties, input excitations, etc. For instrumented bridges, these uncertainties can be reduced by integrating sensory data with prior models through a model updating approach. This study presents a sequential Bayesian model updating technique, through which a linear/nonlinear FE model, including soil-structure interaction effects, and the foundation input motions are jointly identified from measured acceleration responses. The efficacy of the presented model updating technique is first examined through a numerical verification study. Then, seismic data recorded from the San Rogue Canyon Bridge in California are used for a real-world case study. Comparison between the free-field and the foundation input motions reveals valuable information regarding the soil-structure interaction effects at the bridge site. Moreover, the reasonable agreement between the recorded and estimated bridge responses shows the potentials of the presented model updating technique for real-world applications. The described process is a practice of digital twinning and the updated FE model is considered as the digital twin of the bridge and can be used to analyze the bridge and monitor the structural response at element, section, and fiber levels to diagnose the location and severity of any potential damage mechanism.","url":"https://doi.org/10.3390/s22031278","authors":["S. Farid Ghahari","Niloofar Malekghaini","Hamed Ebrahimian","Ertuǧrul Taciroğlu"],"tags":["Bridge (graph theory)","Finite element method","Computer science","Foundation (evidence)","Structural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-08","doi":"https://doi.org/10.3390/s22031278","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2981715779","name":"The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A Literature Review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-33585-4_62","authors":["Areli Orozco-Romero","Claudia Yohana Arias-Portela","José Antonio Marmolejo-Saucedo"],"tags":["Supply chain","Interdependence","Product (mathematics)","Computer science","Fast fashion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-26","doi":"https://doi.org/10.1007/978-3-030-33585-4_62","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4383375322","name":"Digital Twin Based Machining Condition Optimization for CNC Machining Center","source":"openalex","abstract":"Optimization of machining conditions is important in determining productivity and machining quality. This study proposes a method for optimizing the machining conditions of a machine tool using a digital twin of a commercial machine tool comprising physical models of a controller, feed drive systems, and cutting load. The digital twin is constructed and evaluated based on machining experiments, and a genetic algorithm is adopted to determine the machining conditions to minimize the machining time and production cost. The optimal feed rate and spindle speed are obtained for each line of the part program when the cutting force is limited. The machining results demonstrate the effectiveness of the proposed method. After optimization for maximizing the machining speed, the machining time decreased by 16.9%. Similarly, after optimization for minimizing the production cost, the production cost reduced by 36.4%.","url":"https://doi.org/10.57062/ijpem-st.2023.0010","authors":["Beomsik Sim","Wonkyun Lee"],"tags":["Machining","Machine tool","Mechanical engineering","Genetic algorithm","Numerical control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-01","doi":"https://doi.org/10.57062/ijpem-st.2023.0010","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4387564394","name":"Opportunities and challenges of digital twin technology in healthcare","source":"openalex","abstract":"To the Editor: The classic case considered to be the primary application of the digital twin approach is the Apollo 13 mission in 1970. In 2003, the concept of the digital twin was presented by Prof. Michael Grieves at the University of Michigan. However, the widespread dissemination of the digital twin concept is attributed to the National Aeronautics and Space Administration's application of digital twin for aerospace vehicle health maintenance and assurance in 2011.[1] The improvement of new-generation information technology has led to a wider range of applications for digital twin technology, including healthcare. Digital twin technology has already started in healthcare, with promising applications in the fields of disease diagnosis and treatment, clinical medical research, and individualized health monitoring.[2] Supplementary Figure 1, https://links.lww.com/CM9/B793 overviews the application of digital twin technology in healthcare. Digital twin technology offers a new possibility in the field of disease diagnosis and treatment, in which the patient is not operated on initially, but a specific simulation of the patient's diseased organ is performed, and possible difficulties and complications are then investigated. This simulation is the “digital twin,” which allows the potential course of the disease to be predicted. Digital twin technology can assist in cardiac surgery planning, planning percutaneous coronary interventions, and addressing the challenge of preoperative evaluation of complex epilepsy surgeries. Digital twins are often used to conduct virtual clinical trials to shorten the development cycle of biopharmaceutical products and reduce costs. The digital twin model, applied in the phase I clinical trials, can effectively preclude the identification of contraindications to potential treatments. On the one hand, the digital twin approach can simulate the biological variability required for a clinical trial on the basis of a small sample size and provide advice on individual dose selection; on the other hand, digital twin modeling can also take into account special situations in which some subjects may have treatment-related contraindications or adverse drug reactions. Phase II clinical trials are a key stage in the drug development process to initially assess the therapeutic effect and safety of a drug in patients with the target indication. Virtual models accurately predict individual responses to interventions so that a larger virtual patient population can be generated, which can be used to identify adverse reactions. This process may help to identify potential problems and improve the success of drug development before proceeding to full phase III clinical studies. Phase III trials represent the most challenging trial phase because they are large and long-lasting. An important and potential benefit of virtual clinical trials is that the size of human trials can be reduced by making reliable predictions. Therefore, virtual clinical trials could significantly shorten the time-to-market for new drugs or therapeutic strategies and reduce the costs of development. Individual health monitoring is one of the applications of digital twin technology for individuals. Based on data that are dynamically collected in real time using wearable or environmental sensors, we can build digital twins that simulate specific objects in real time. In this way, recommendations can be provided for sub-healthy individuals who need strict self-management, or who are just at risk for certain diseases. Regarding personal health monitoring, digital twins can predict responses to new treatments in cancer patients and are used for personalized prevention of osteoporosis, nutritional management of diabetic patients, and public health. Digital twin technology is widely used in the field of healthcare. Digital twin technology can enable new methods of disease prediction, prevention, diagnosis, and treatment. There are many potentially valuab","url":"https://doi.org/10.1097/cm9.0000000000002896","authors":["Mingbang Wang","Huijuan Hu","Song Wu"],"tags":["Health care","Business","Internet privacy","Medicine","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-11","doi":"https://doi.org/10.1097/cm9.0000000000002896","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3088241502","name":"On the Engineering of IoT-Intensive Digital Twin Software Systems","source":"openalex","abstract":"Digital Twins (DT) are software systems representing different aspects of a physical or conceptual counterpart---the real twin, which is instrumented with several sensors or computing devices that generate, consume and transfer data to its DT with different purposes. In other words, DT systems are, to a large extent, IoT-intensive systems. Indeed, by exploiting and managing IoT data, artificial intelligence, and big data and simulation capabilities, DTs have emerged as a promising approach to manage the virtual manifestation of real-world entities throughout their entire lifecycle. Their proliferation will contribute to realizing the long-craved convergence of virtual and physical spaces to augment things and human capabilities. In this context, despite the proposal of noteworthy contributions, we argue that DTs have not been sufficiently investigated from a software engineering perspective. To address this, in this paper we propose GEMINIS, an architectural reference model that adopts self-adaptation, control, and model-driven engineering techniques to specify the structural and behavioural aspects of DTs and enable the evolution of their internal models. Moreover, we introduce an approach for engineering IoT-intensive Digital Twin Software Systems (DTSS) using GEMINIS' capabilities to deal with uncertain conditions that are inherent to the nature of mirrored physical environments and that might compromise the fidelity of a DT. With GEMINIS and the proposed approach, we aim to advance the engineering of DTSS as well as IoT and cyber-physical systems by providing practitioners with guidelines to model and specify inherent structural and behavioural characteristics of DTs, addressing common design concerns.","url":"https://doi.org/10.1145/3387940.3392195","authors":["Luis Rivera","Hausi Müller","Norha M. Villegas","Gabriel Tamura","Miguel Jiménez"],"tags":["Computer science","Context (archaeology)","Cyber-physical system","Software","Adaptation (eye)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-27","doi":"https://doi.org/10.1145/3387940.3392195","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3158772088","name":"Real-Time Digital Twin Of Research Vessel For Remote Monitoring","source":"openalex","abstract":"Real-time digital twins of ships in operation find many applications such as predictive maintenance, climbing the ladders of ship autonomy, and offshore operational excellence. The literature describes a focus on digital twinning of individual equipment such as navigation, propulsion, engine and power system, or crane. Yet, digital twinning and virtual prototyping for offshore operations are in their infancy and the onboard digitisation hardware and the telecommunication infrastructure are becoming accessible and affordable. Previous work has failed to address the need for building a holistic model and thus contextualising the equipment with the state of the whole vessel. A prototype of an online digital twin of a research vessel is proposed, its architecture described and its suitability for virtual prototyping demonstrated in a remote control centre. The study shows a viable proof of concept for remote monitoring and crew assistance in nominal and contingency response for offshore crane operations.","url":"https://doi.org/10.7148/2021-0159","authors":["Pierre Major","Guoyuan Li","Houxiang Zhang","Hans Petter Hildre"],"tags":["Crew","Computer science","Remote control","Virtual prototyping","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-29","doi":"https://doi.org/10.7148/2021-0159","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4367184381","name":"Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint","source":"openalex","abstract":"Abstract Product sustainability is a pressing global issue that requires urgent improvement, and low-carbon design is a crucial approach toward achieving sustainable product development. Digital twin technology, which connects the physical and virtual worlds, has emerged as an effective tool for supporting product design and development. However, obtaining accurate product parameters remains a challenge, and traditional low-carbon product design primarily focuses on design parameters. To address these issues, this paper proposes a method for data collection throughout the product lifecycle, leveraging the Internet of Things. The paper envisions the automatic collection of product lifecycle data to enhance the accuracy of product design. Moreover, traditional low-carbon design often has a limited scope that primarily considers product structure and lifecycle stage for optimization. In contrast, combining digital twin technology with low-carbon design can effectively improve product sustainability. Therefore, this paper proposes a three-layer architecture model of product sustainability digital twin, comprising data layer, mapping layer, and application layer. This model sets the carbon footprint as the iterative optimization goal and facilitates the closed-loop sustainable design of the product. The paper envisions sustainable product design based on digital twins that can address cascading problems and achieve closed-loop sustainable design.","url":"https://doi.org/10.1115/1.4062427","authors":["Bin He","Hangyu Mao"],"tags":["Product design","Product lifecycle","Carbon footprint","Sustainability","Product engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-27","doi":"https://doi.org/10.1115/1.4062427","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4380080667","name":"Properties and Characteristics of Digital Twins: Review of Industrial Definitions","source":"openalex","abstract":"Abstract As digital twin configurations depend on their use case, there is a need for research on how companies can select the capabilities and appropriate level of sophistication to deploy digital twins in practice successfully. This study investigated the properties and characteristics of digital twins described in academic literature. It summarized them in a taxonomy, which was subsequently used to code and examine 90 definitions of companies. For the analysis, both supervised and unsupervised methods were applied. The results show that researchers focus more on technological requirements when defining digital twins, while companies use more value-based properties that are not included or not precisely delineated in academic reviews. Therefore, an application-oriented definition is proposed to bridge this gap and complement the taxonomy. This study thus contributes to the discussion and forming of an application-oriented and shared understanding of the digital twin concept in research and practice.","url":"https://doi.org/10.1007/s42979-023-01937-4","authors":["Lukas Schweiger","Linard Barth"],"tags":["Sophistication","Taxonomy (biology)","Computer science","Complement (music)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-09","doi":"https://doi.org/10.1007/s42979-023-01937-4","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3217022561","name":"A Smart IoT Platform for Oncology Patient Diagnosis based on AI: Towards the Human Digital Twin","source":"openalex","abstract":"Human cancer is a multifaceted decease. Throughout the years several techniques and technologies have been proposed for the diagnosis and treatment of such deceases. However, the technological advances in the field of Information and Communication Technologies (ICT), Augmented Reality (AR), and Artificial Intelligence (AI), can facilitate during the diagnosis and prediction processes. This paper presents a conceptual framework for the visualization of Magnetic resonance imaging (MRI) scans, the data acquisition and analysis from patients based on AI algorithms and AR. Furthermore, the preliminary development of the framework is presented, and future developments are discussed based on the implications faced.","url":"https://doi.org/10.1016/j.procir.2021.11.284","authors":["Dimitris Mourtzis","John Angelopoulos","Nikos Panopoulos","Dimitrios Kardamakis"],"tags":["Augmented reality","Computer science","Visualization","Field (mathematics)","Information and Communications Technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.284","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4396805343","name":"Digital twins in aircraft production and MRO: challenges and opportunities","source":"openalex","abstract":"Abstract The digital twin (DT) concept, value-adding connecting the real and digital world, has been a rising trend in recent years, while the implementation and observation of challenges are still subject to research. Implementations of holistic Digital Twins of tangible and intangible assets of complex products or processes are often ideal-theoretic; instead, only subsystems and processes are replicated, which digital representations serve specific, meaningful applications. Specifically, with its distinct characteristics, the aviation industry and its production show various future application scenarios, which we use case-driven outline in this work. Therefore, we first summarize common, industry-neutral challenges of implementing Digital Twins and give an overview of aircraft production characteristics. Then, we will outline different fields of utilizing the Digital Twin concept and highlight integrational, organizational, and compliance-related challenges as well as opportunities in the context of aircraft production and Maintenance, Repair, and Overhaul (MRO). The use cases are located at different aircraft life cycle phases, from production system development, production supplying logistics, and Quality Assurance (QA) up to retrofit.","url":"https://doi.org/10.1007/s13272-024-00740-y","authors":["Keno Moenck","Jan-Erik Rath","Julian Koch","Arne Wendt","Florian Kalscheuer","Thorsten Schüppstuhl","Daniel Schoepflin"],"tags":["Production (economics)","Engineering","Aeronautics","Aerospace engineering","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-10","doi":"https://doi.org/10.1007/s13272-024-00740-y","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4280523119","name":"FAIR Digital Twins for Data-Intensive Research","source":"openalex","abstract":"Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We present a review of previously developed semantic artifacts and how they may be used to compose a higher-order data model referred to here as a FAIR Digital Twin (FDT). We propose an architectural design to compose, store and reuse FDTs supporting data intensive research, with emphasis on privacy by design and their use in GDPR compliant open science.","url":"https://doi.org/10.3389/fdata.2022.883341","authors":["Erik Schultes","Marco Roos","Luiz Olavo Bonino da Silva Santos","Giancarlo Guizzardi","Jildau Bouwman","Thomas Hankemeier","Arie Baak","Barend Mons"],"tags":["Computer science","Reuse","Data science","Order (exchange)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-11","doi":"https://doi.org/10.3389/fdata.2022.883341","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4379386219","name":"Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext","source":"openalex","abstract":"This article introduces a novel framework for diagnosing faults in rolling bearings. The framework combines digital twin data, transfer learning theory, and an enhanced ConvNext deep learning network model. Its purpose is to address the challenges posed by the limited actual fault data density and inadequate result accuracy in existing research on the detection of rolling bearing faults in rotating mechanical equipment. To begin with, the operational rolling bearing is represented in the digital realm through the utilization of a digital twin model. The simulation data produced by this twin model replace traditional experimental data, effectively creating a substantial volume of well-balanced simulated datasets. Next, improvements are made to the ConvNext network by incorporating an unparameterized attention module called the Similarity Attention Module (SimAM) and an efficient channel attention feature referred to as the Efficient Channel Attention Network (ECA). These enhancements serve to augment the network's capability for extracting features. Subsequently, the enhanced network model is trained using the source domain dataset. Simultaneously, the trained model is transferred to the target domain bearing using transfer learning techniques. This transfer learning process enables the accurate fault diagnosis of the main bearing to be achieved. Finally, the proposed method's feasibility is validated, and a comparative analysis is conducted in comparison with similar approaches. The comparative study demonstrates that the proposed method effectively addresses the issue of low mechanical equipment fault data density, leading to improved accuracy in fault detection and classification, along with a certain level of robustness.","url":"https://doi.org/10.3390/s23115334","authors":["Chao Zhang","Feifan Qin","Wentao Zhao","Jianjun Li","Tongtong Liu"],"tags":["Robustness (evolution)","Computer science","Artificial intelligence","Bearing (navigation)","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-05","doi":"https://doi.org/10.3390/s23115334","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4324146428","name":"Are digital twins improving urban-water systems efficiency and sustainable development goals?","source":"openalex","abstract":"A digital twin is a tool, which enables a real-time simulation of the water systems and therefore, the water managers can make a decision in the management of the water system over time. The use of these new interaction tool implies the improvement of the awareness of the whole system and it lies in improving the sustainability and efficiency of the water systems with the integration of measurements. The research proposed a methodology to integrate GIS and water models, being the main goal the integration of social, economic, environmental and technical issues. This integration enables improvement in the accuracy and reliability of data and it increases the performance of water systems. This study proposes a pressure-reduction strategy and the implementation of pumps as turbines (PATs), applicable in Sta Cruz, Madeira water system. The use of the developed digital twin model assures a decrease of 3.3 hm3 in water-demand volume, increasing renewable generation by micro-hydropower up to 1.2 GWh. These actions would result in savings above 1.5 M€, decreasing around 530 tons of CO2 emissions each year. The consideration of these values implies the improvement of different indicators, which allows the evaluation of different targets linked to sustainable development goals (SDGs).","url":"https://doi.org/10.1080/1573062x.2023.2180396","authors":["Helena M. Ramos","Alban Kuriqi","Óscar E. Coronado-Hernández","Petra Amparo López Jiménez","Modesto Pérez‐Sánchez"],"tags":["Reliability (semiconductor)","Sustainability","Hydropower","Environmental economics","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-13","doi":"https://doi.org/10.1080/1573062x.2023.2180396","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4378550183","name":"Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.energy.2023.127959","authors":["Zhipeng Cui","Jing Xu","Wenhao Liu","Guanjia Zhao","Suxia Ma"],"tags":["Boiler (water heating)","Coal","Overheating (electricity)","Supercritical fluid","Heat transfer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-27","doi":"https://doi.org/10.1016/j.energy.2023.127959","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4409585410","name":"Unleashing the Potential of 5G for Smart Cities: A Focus on Real-Time Digital Twin Integration","source":"openalex","abstract":"The arrival of 5G technology is transforming the creation of smart cities by delivering unmatched speed, extremely low latency, and broad device connectivity. These developments allow for the effortless integration of IoT devices, live monitoring systems, and cutting-edge urban applications. This paper examines the impact of 5G in tackling significant urban challenges, including network overload, energy efficacy, and data security, while highlighting its revolutionary potential in improving smart city frameworks. An important emphasis is the fusion of 5G with real-time digital twins, which link physical and digital realms to enhance urban systems, refine resource management, and strengthen public safety. Even with its potential, the rollout of 5G encounters challenges such as expensive infrastructure, significant energy requirements, and limited signal reach. This research explores the present trends, current applications, and new challenges related to 5G in smart cities, providing insights into its constraints and approaches to address them. It summarizes the necessity of cooperation among stakeholders to realize 5G’s complete capabilities and to create scalable, secure, and sustainable solutions for smart cities.","url":"https://doi.org/10.3390/smartcities8020070","authors":["Afsaana Sultaana Mahomed","Akshay Kumar Saha"],"tags":["Focus (optics)","Computer science","Computer security","Physics","Optics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-18","doi":"https://doi.org/10.3390/smartcities8020070","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4295308386","name":"Resource Allocation Based on Digital Twin-Enabled Federated Learning Framework in Heterogeneous Cellular Network","source":"openalex","abstract":"Federated learning (FL) allows user devices (UDs) to upload local model parameters to participate in a global model training, which protects UDs' data privacy. Nevertheless, FL still faces challenges such as core network congestion, UDs' limited resources and less efficient mapping between devices and cyber systems. Therefore, in this article, we integrate the digital twin (DT) and the mobile edge computing (MEC) technologies into a hierarchical FL framework in the heterogeneous cellular network scenario. When the UDs are not in the service range of the small base stations (SBSs), the framework allows macro base stations to assist UDs' local computation, thus reducing the transmission delay. It also protects the user privacy and allows more users to join in the training in order to improve the FL accuracy. In addition, we propose a deep reinforcement learning-based scheme to solve the joint optimization problem of dynamic UDs-stations association and resource allocation, thereby minimizing the energy consumption within a limited time delay. Simulation results show that our proposed scheme not only effectively reduces the task transmission failure rate and energy consumption compared with the baseline scheme, but also saves the communication cost through the DT network.","url":"https://doi.org/10.1109/tvt.2022.3205778","authors":["Yejun He","Mengna Yang","Zhou He","Mohsen Guizani"],"tags":["Computer science","Computer network","Upload","Base station","Mobile edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-12","doi":"https://doi.org/10.1109/tvt.2022.3205778","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4404687927","name":"Mobility-Aware Dependent Task Offloading in Edge Computing: A Digital Twin-Assisted Reinforcement Learning Approach","source":"openalex","abstract":"Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute tasks from end devices. Task offloading is a fundamental problem in CEC that decides when and where tasks are executed upon the arrival of tasks. However, the mobility of users often results in unstable connections, leading to network failures and resource underutilization. Existing works have not adequately addressed joint mobility-aware dependent task offloading and network flow scheduling, resulting in network congestion and suboptimal performance. To address this, we formulate an online joint mobility-aware dependent task offloading and bandwidth allocation problem, to improve the quality of service by reducing task completion time and energy consumption. We introduce a Mobility-aware Digital Twin-assisted Deep Reinforcement Learning (MDT-DRL) algorithm. Our digital twin model equips the reinforcement learning process by providing future states of mobile users, enabling efficient offloading plans for adapting to the mobile CEC system. Experimental results on real-world and synthetic datasets show that MDT-DRL surpasses state-of-the-art baselines on average task completion time and energy consumption.","url":"https://doi.org/10.1109/tmc.2024.3506221","authors":["Xiangchun Chen","Jiannong Cao","Yuvraj Sahni","Mingjin Zhang","Zhixuan Liang","Lei Yang"],"tags":["Computer science","Reinforcement learning","Mobile edge computing","Task (project management)","Edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-25","doi":"https://doi.org/10.1109/tmc.2024.3506221","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4396596966","name":"Bi-Directional Digital Twin and Edge Computing in the Metaverse","source":"openalex","abstract":"The Metaverse has emerged to extend our lifestyle beyond physical limitations. As essential components in the Metaverse, digital twins (DTs) are the real-time digital replicas of physical items. Multi-access edge computing (MEC) provides responsive services to the end users, ensuring an immersive and interactive Metaverse experience. While the digital representation (DT) of physical objects, end users, and edge computing systems is crucial in the Metaverse, the construction of these DTs and the interplay between them have not been well-investigated. In this article, we discuss the bidirectional reliance between the DT and the MEC system and investigate the creation of DTs of objects and users on the MEC servers and DT-assisted edge computing (DTEC). To ensure seamless handover among MEC servers and to avoid intermittent Metaverse services, we also explore the interaction between local DTECs on local MEC servers and the global DTEC on the cloud server due to the dynamic nature of network states (e.g., channel state and users' mobility). We investigate a continual learning framework for resource allocation strategy in local DTEC through a case study. Our strategy mitigates the desynchronization between physical-digital twins, ensures higher learning outcomes, and provides a satisfactory Metaverse experience.","url":"https://doi.org/10.1109/iotm.001.2300173","authors":["Jiadong Yu","Ahmad Alhilal","Pan Hui","Danny H. K. Tsang"],"tags":["Metaverse","Computer science","Enhanced Data Rates for GSM Evolution","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-01","doi":"https://doi.org/10.1109/iotm.001.2300173","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3021797091","name":"Digital Twin for Well Integrity with Real Time Surveillance","source":"openalex","abstract":"During the production phase of the PW1 well, an unintentional operation depressurized the annulus A below its design limit, causing a progressive casing collapse from the surface casing to the tubing string, resulting in a well failure and a subsequent an abandonment operation. This event was detailed in a previous publication (Campos et al., 2019). After a detailed investigation of the events that drove the well failure and using casing design software to simulate the well behavior with the historical time series data, it was possible to identify the exact moment of the casings collapse through mathematical modelling. Based on that, considering innovation as critical success factor (Rocha, 2012), PETROBRAS started an R&D project to evaluate, in real time, critical integrity events during production phase. The approach proposed consists on the integration of a transient fluid flow model (Bonizzi, 2003) and (Bonizzi, Andreussi and Banerjee, 2009) with a structural model (AraÚjo et al., 2019) of the well and loads being calculúated in real time as a function of the production data (PDG’s, X-TREE and Topside). The process described was named as Well Integrity Surveillance (WIS) and its being designed to work 24/7 in a collaborative environment, integrating well handover information, inspections and intervention reports, production data and flow modeling. The objective of this paper is to present the well integrity case study of a deep-water field in the Brazilian coast, through a real time digital twin approach, highlighting the main technological solutions, developed to ensure the assets operational envelope, during its lifetime. With the well integrity surveillance digital twin, PETROBRAS successfully implemented a pilot project on three offshore production units in Brazil, increasing the knowledge of the well structural behavior and consequentially the assets operational safety during its lifetime.","url":"https://doi.org/10.4043/30574-ms","authors":["Jorel Lopes Rodrigues Dos Anjos","Pedro Esteves Aranha","A. L. Martins","Felipe Lima De Oliveira","Clemente Gonçalves","Douglas Ribeiro da Silva","Cesar Luis Dudek","Cláudio Benevenuto de Campos Lima"],"tags":["Casing","Computer science","Engineering","Reliability engineering","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-30","doi":"https://doi.org/10.4043/30574-ms","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2551636325","name":"Systems Engineering Requires Digital Twins of Machine Elements","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-319-45447-4_26","authors":["Willi Theodor Gruender"],"tags":["Workflow","Product (mathematics)","Virtual representation","Process (computing)","Virtualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-11-01","doi":"https://doi.org/10.1007/978-3-319-45447-4_26","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3127627313","name":"Principle-based digital twins: a scoping review","source":"openalex","abstract":"The Construction Innovation Hub and the Centre for Digital Built Britain's National Digital Twin Programme are calling on leaders involved in creating and managing the built environment to build the Gemini Principles into their digital strategies, especially for work on digital twins.The principles will enable a values-based approach to the development of digital twins and pave the way for secure, resilient data sharing, which is at the heart of the National Digital Twin.Published by the Centre for Digital Built Britain in 2018, the Gemini Principles introduce a novel approach to digital twins by setting out generic principles for -rather than specific technological solutions to or outcomes from -the implementation of digital twins.This paper provides an answer to the question of whether principle-based digital twins have been explored before in published literature.Existing applications of digital twins have been motivated in a variety of ways based on their contexts and intended outcomes.These motivations tend to vary by sector and by academic discipline.Whether or not these motivations qualify as principles is debatable.Similarly, digital twins may be intrinsically linked to organisational principles or strategies without this fact being evident in the literature.Therefore, a definitive assessment of how many principle-based digital twins exist would be exceedingly difficult.What is evident from a scoping review of the literature are different levels of strategy and motivation underlying the use of digital twins, from national and regional digital strategies, to organisational strategies, to the motivations driving individual academic or industrial case studies.In this paper, these have been loosely mapped to the Gemini Principles in order to draw some broad conclusions about their frequency in the literature.The most prevalent motivations are simulation, control, efficiency and structural health monitoring, with relatively few papers discussing digital twins in terms of public good, security, sustainability or collaboration.The most notable exception is the literature around smart cities. Due to their complexity and citizen-centric focus, digital twins for smart cities are more often based on principles that parallel the Gemini Principles.Additionally, a small number of maturity frameworks and strategic road maps capture elements of the Gemini Principles and wider work toward a National Digital Twin (NDT).Many of the papers focus on technical aspects of digital twins and also cite remaining technical barriers.However, many of these technical barriers intersect with social and organisational solutions.The gap around principles and service-or citizen-centric digital twins indicates that developing frameworks for principle-based digital twins is a challenge that very few academics or sectors are attempting to address. 2: Connected digital twinsDigital twins may also be connected in order for assets to \"talk to\" each other within a (rail) system, like a train's digital twin sending messages to a control signal's digital twin to change the physical signal.The use of these more complex connected digital twins is less common than for stand-alone digital twins. 3: Ecosystem of connected digital twinsWhile there are scale and complexity barriers to overcome, ecosystems of digital twins could be created within networks of service-based assets, such as healthcare facilities or transport, in order to coordinate services across the network.","url":"https://doi.org/10.17863/cam.47094","authors":["Kirsten Lamb"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-18","doi":"https://doi.org/10.17863/cam.47094","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4402738631","name":"Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates","source":"openalex","abstract":"Conventional infrastructure asset management practices have heavily relied on static data collection and suffered from decision lags. Though advanced Structural Health Monitoring (SHM) systems were extensively explored based on multi-functional sensor deployment, asset model updating has not been achieved to facilitate timely and effective decision-making of infrastructure managers due to a lack of system integration. To address this challenge, this study develops the Immersive Bridge Digital Twin Platform (IBDTP) to allow infrastructure managers to automate the SHM processes of bridges and engage them in immersive decision-making processes based on Scan-to-BIM and Augmented Reality (AR) technologies. A novel 3D game engine is proposed as part of IBDTP and was tested using a single-span concrete arch bridge located in Poland. Results show that the measurement data collected and presented in IBDTP improves the infrastructure managers' accessibility to major damage data of the bridge to plan for future interventions. The functions of the IBDTP can be potentially scaled for different types of bridges and critical infrastructure, substantially improving the traditional SHM in terms of data management and 3D structural visualization.","url":"https://doi.org/10.1016/j.compind.2024.104189","authors":["Muhammad Fawad","Marek Salamak","Qian Chen","Mateusz Uściłowski","Kálmán Koris","Marcin Jasiński","Piotr Łaziński","Dawid Piotrowski"],"tags":["Bridge (graph theory)","Asset (computer security)","Computer science","Engineering","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-23","doi":"https://doi.org/10.1016/j.compind.2024.104189","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4409413452","name":"Digital twin system for manufacturing processes based on a multi-layer knowledge graph model","source":"europepmc","abstract":"Abstract Digital twin technology in the manufacturing process faces challenges like integrating diverse data sources and managing real-time data flow. To address this, we propose a novel three-layer knowledge graph architecture to enhance digital twin modeling for manufacturing processes. This architecture consists of a concept layer that structures key information into a knowledge network, a model layer that aligns digital and physical parameters, and a decision layer that leverages model and real-time data for decision support. Validated in aero-engine blade production, this system integrates multi-source data, enhances predictive analysis and anomaly detection, and supports process control and quality management. Over a 5-month validation period, the maximum contour error precision of the blades improved from 0.073 mm to 0.062 mm, and the product qualification rate increased from 81.3% to 85.2%. This demonstrates the system’s robust capability for advancing digital twin utilization in manufacturing, highlighting its potential for future improvements.","url":"https://doi.org/10.1038/s41598-024-85053-0","authors":["Chang Su","Xin Tang","Qi Jiang","Yong Han","Tao Wang","Dongsheng Jiang"],"tags":["Computer science","Layer (electronics)","Data access layer","Graph","Data mining"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-024-85053-0","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4382135446","name":"Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality","source":"openalex","abstract":"Increasing industrial development and digital transformations have given rise to a technology called Digital Twin (DT) that has the potential to break the barrier between physical and cyberspace. DT is a virtual and dynamic model enabled through a bidirectional data flow that creates high-reliability models with interconnection and fusion between the physical and digital systems for full integration. In smart manufacturing, this technology is increasingly used in research and industry. However, the studies conducted do not provide a definition or a single integrally connected model. To develop the Digital Twin shown in this research, the literature was reviewed to learn about the enabling technologies and architectures used at the industrial level. Then, a methodology was used to obtain the physical process information, create the digital environment, communicate the physical environment, apply simulation models in the digital environment, and parameterize the simulation environment with the physical process in real-time to obtain the digital twin supported with augmented reality. The system was implemented in the MPS-500 modular production station that has industrial sensors and actuators. The virtual environment was designed with Blender and Vuforia to create the augmented reality environment. In the proposed methodology, robust devices (field and control level) and low-cost embedded systems were used for the creation and communication of the virtual environment (monitoring and control); for the joint work of these technologies, they were carried out through the use of the following protocols: Open Platform Communications United Architecture (OPC UA), Ethernet, and machine to machine (M2M), with which a communication was achieved between the different levels of the automation pyramid. The results show that the proposed methodology for the implementation of the DT allows bidirectional communication between the physical and virtual environment and can also be visualized with the support of AR, thus providing its characteristics to the proposed DT. Digital Twin is an essential factor in creating virtual environments and improving applications between the real and digital world, establishing a bidirectional communication through the Ethernet protocol, with a communication time of approximately 100 ms. This technology interacts with the virtual environment and performs mappings, thus achieving timely and dynamic adjustment. This improves data management and production and incorporates process simulation and physical control in real-time, allowing to execute and trigger actions in the physical equipment simultaneously.","url":"https://doi.org/10.3390/app13137503","authors":["Gustavo Caiza","Ricardo Sanz"],"tags":["Cyber-physical system","Augmented reality","Ethernet","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-25","doi":"https://doi.org/10.3390/app13137503","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W2905188749","name":"The Benefits and Impact of Digital Twins in Product Development Phase of PLM","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-01614-2_40","authors":["Ilkka Donoghue","Lea Hannola","Jorma Papinniemi","Aki Mikkola"],"tags":["Product lifecycle","Product management","New product development","Process management","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1007/978-3-030-01614-2_40","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4391420748","name":"AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities","source":"openalex","abstract":"Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data capturing in traditional approaches, resulting in inaccurate modelling and high resource and energy consumption challenges. To fill this gap, we explore spatiotemporal graphs and propose the Reinforcement Learning-based Adaptive Twining (RL-AT) mechanism with Deep Q Networks (DQN). By doing so, our study contributes to advancing Green Cities and showcases tangible benefits in accuracy, synchronisation, resource optimization, and energy efficiency. As a result, we note the spatiotemporal graphs are able to offer a consistent accuracy and 55% higher querying performance when implemented using graph databases. In addition, our model demonstrates right-time data capturing with 20% lower overhead and 25% lower energy consumption.","url":"https://doi.org/10.1109/icc51166.2024.10622773","authors":["Lal Verda Çakır","Kübra Duran","Craig Thomson","Matthew Broadbent","Berk Canberk","Lal Verda Cakir","Kubra Duran"],"tags":["Reinforcement learning","Reinforcement","Computer science","Artificial intelligence","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-09","doi":"https://doi.org/10.1109/icc51166.2024.10622773","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W2990891391","name":"SEDIT: Semantic Digital Twin Based on Industrial IoT Data Management and Knowledge Graphs","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-34989-9_14","authors":["Juan Miguel Gómez-Berbís","Antonio de Amescua Seco"],"tags":["Computer science","Domain knowledge","Internet of Things","Representation (politics)","Knowledge graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1007/978-3-030-34989-9_14","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4229005060","name":"A generic asset model for implementing product digital twins in smart remanufacturing","source":"openalex","abstract":"Abstract A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time, or near real time, from the entity, through embedded sensors and the Internet-of-Things. Many applications of digital twins in the manufacturing industry have been investigated. This article focuses on, and contributes to, the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a Unified Modelling Language (UML) model of a generic asset to be remanufactured. The model is used in an example which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.","url":"https://doi.org/10.1007/s00170-022-09295-w","authors":["Mairi Kerin","Duc Truong Pham","Jun Huang","Jeremy Hadall"],"tags":["Remanufacturing","Computer science","Component (thermodynamics)","Asset (computer security)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-06","doi":"https://doi.org/10.1007/s00170-022-09295-w","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3171287683","name":"Constructing Digital Twin for Smart Manufacturing","source":"openalex","abstract":"Smart Manufacturing is one of the key contents in the age of Industry 4.0, which helps to significantly improve the quality and efficiency of production. While the digital twin is the core technology in achieving smart manufacturing. Although the importance of Digital Twin is widely recognised, how to construct it and use it for smart manufacturing is not clear. To fill this gap, this paper proposes a systematic method in constructing a digital twin for the customized production, including 3D modelling, mechanism modelling, and real-time synchronization. A case study on constructing the digital twin for a customized furniture production factory has been used to demonstrate this method, with optimistic results proving its feasibility.","url":"https://doi.org/10.1109/cscwd49262.2021.9437791","authors":["Hao Qin","Hongwei Wang","Yu Zhang","Li‐Bin Lin"],"tags":["Smart manufacturing","Construct (python library)","Computer science","Key (lock)","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-05","doi":"https://doi.org/10.1109/cscwd49262.2021.9437791","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3206957364","name":"Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic","source":"openalex","abstract":"In the search for increased productivity and efficiency in the industrial sector, a new industrial revolution, called Industry 4.0, was promoted. In the electric sector, power plants seek to adapt these new concepts to optimize electric power generation processes, as well as to reduce operating costs and unscheduled downtime intervals. In these plants, PID control strategies are commonly used in water cooling systems, which use fans to perform the thermal exchange between water and the ambient air. However, as the nonlinearities of these systems affect the performance of the drivers, sometimes a greater number of fans than necessary are activated to ensure water temperature control which, consequently, increases energy expenditure. In this work, our objective is to develop digital twins for a water cooling system with auxiliary equipment, in terms of the decision making of the operator, to determine the correct number of fans. This model was developed based on the algorithm of automatic extraction of fuzzy rules, derived from the SCADA of a power plant located in the capital of Paraíba, Brazil. The digital twins can update the fuzzy rules in the case of new events, such as steady-state operation, starting and stopping ramps, and instability. The results from experimental tests using data from 11 h of plant operations demonstrate the robustness of the proposed digital twin model. Furthermore, in all scenarios, the average percentage error was less than 5% and the average absolute temperature error was below 3 °C.","url":"https://doi.org/10.3390/s21206737","authors":["Carlos Antonio Alves de Araujo","Juan Moisés Maurício Villanueva","Rodrigo José Silva de Almeida","Isaac Emmanuel Azevedo de Medeiros"],"tags":["Downtime","SCADA","Fuzzy logic","Robustness (evolution)","Power station"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-11","doi":"https://doi.org/10.3390/s21206737","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4391310654","name":"Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.iot.2024.101094","authors":["Álvaro García","Aníbal Bregón","Miguel A. Martínez‐Prieto"],"tags":["Factory (object-oriented programming)","Cyber-physical system","Computer science","Manufacturing engineering","Digital ecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-29","doi":"https://doi.org/10.1016/j.iot.2024.101094","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4362660450","name":"A digital twin framework for real-time ship routing considering decarbonization regulatory compliance","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2023.114407","authors":["Qikun Wei","Yan Liu","You Dong","Tianyun Li","Wei Li"],"tags":["Leverage (statistics)","Routing (electronic design automation)","Container (type theory)","Compliance (psychology)","Operations research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-06","doi":"https://doi.org/10.1016/j.oceaneng.2023.114407","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4392672408","name":"Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engappai.2024.108212","authors":["Xufeng Huang","Tingli Xie","Shuyang Luo","Jinhong Wu","Rongmin Luo","Qi Zhou"],"tags":["Computer science","Information fusion","Bearing (navigation)","Fault (geology)","High fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-10","doi":"https://doi.org/10.1016/j.engappai.2024.108212","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4396920669","name":"Digital Twin-based bottleneck prediction for improved production control","source":"openalex","abstract":"Bottlenecks in manufacturing systems may significantly reduce their efficiency and productivity. Therefore, bottleneck analysis is a consolidated topic in Industrial Engineering, both in research and practice. Recently, traditional methods for bottleneck analysis have been enhanced with data-driven approaches, such as artificial intelligence and big data analytics. Nevertheless, their exploitation built on the full scope of technologies from digitalization is still not fulfilled. Indeed, the integration with simulation-based methods remains under-explored. This work aims to address bottleneck prediction leveraging on Digital Twin simulation capabilities to predict manufacturing system behavior. For this purpose, the work first offers an extensive review of bottleneck identification methods, inclusive of the ones based on Digital Twin. The main contribution of the work lies in the proposal of a novel Digital Twin-based bottleneck prediction framework with the end purpose to achieve performance improvements actuated through production control. The framework utilizes the Digital Twin for predicting and mitigating bottlenecks in manufacturing systems. The Digital Twin enables the simulation of the future system behavior, while accounting for the current conditions. This insight can then be used by a bottleneck identification method to infer future system bottleneck. The information on the predicted bottleneck is eventually used to support production control decisions, by adapting the order release and sequencing according to the predicted bottleneck. The benefits of adapting production control to the predicted bottleneck are evaluated quantitatively, highlighting how system performance is enhanced. By doing so, this research contributes to bridging the gap between Digital Twin-based performance analysis and production control, providing knowledge and a practical framework transferable to researchers and industrial practitioners.","url":"https://doi.org/10.1016/j.cie.2024.110231","authors":["Lorenzo Ragazzini","Elisa Negri","Luca Fumagalli","Marco Macchi"],"tags":["Bottleneck","Production (economics)","Control (management)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-15","doi":"https://doi.org/10.1016/j.cie.2024.110231","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4293513633","name":"Indoor Positioning System with UWB Based on a Digital Twin","source":"openalex","abstract":"Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environment, an indoor positioning system with UWB based on a digital twin is presented in this paper. The indoor positioning accuracy is improved with a perception-prediction feedback of cyber-physics space in this indoor positioning system. In addition, an anchor layout method with virtuality-reality interaction and an error mitigation method based on neural networks is put forward in this system. Finally, a case study is presented to validate this indoor positioning system with a significant improvement in positioning accuracy.","url":"https://doi.org/10.3390/s22165936","authors":["Ping Lou","Qi Zhao","Xiaomei Zhang","Da Li","Jiwei Hu"],"tags":["Non-line-of-sight propagation","Indoor positioning system","Computer science","Ultra-wideband","Hybrid positioning system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-09","doi":"https://doi.org/10.3390/s22165936","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3035693890","name":"Physically sound, self-learning digital twins for sloshing fluids","source":"openalex","abstract":"In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in simulation-assisted decision making. The proposed method infers the (linear or non-linear) constitutive behavior of the fluid from video sequences of the sloshing phenomena. Real-time prediction of the fluid response is obtained from a reduced order model (ROM) constructed by means of thermodynamics-informed data-driven learning. From these data, we aim to predict the future response of a twin fluid reacting to the movement of the real container. The constructed system is able to perform accurate forecasts of its future reactions to the movements of the containers. The system is completed with augmented reality techniques, so as to enable comparisons among the predicted result with the actual response of the same liquid and to provide the user with insightful information about the physics taking place.","url":"https://doi.org/10.1371/journal.pone.0234569","authors":["Beatriz Moya","Icíar Alfaro","David González","Francisco Chinesta","Elías Cueto"],"tags":["Slosh dynamics","Container (type theory)","Computer science","Fluid–structure interaction","Class (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-16","doi":"https://doi.org/10.1371/journal.pone.0234569","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4387350568","name":"Digital Twins for Consumer Electronics","source":"openalex","abstract":"Digital Twin(DT) is at the forefront of the Industry 4.0 revolution facilitated through advanced data analytics and the Internet of Things (IoT) connectivity. With this research, we intend to explore the applications of digital twins in the consumer electronics(CE) industry. This study delves into different realms within the consumer electronics sector to explore how digital twin technology could be beneficial while considering the potential limitations. Some CE fields that could benefit from digital twins include product design and development, predictive maintenance, personalization, virtual user manuals and training, product performance optimization, remote support and troubleshooting, supply chain optimization, and sustainability. This research also focuses on various aspects of the crucial role played by consumer electronics in implementing digital twins in the industry, including hardware integration, data collection methods and establishing reliable connectivity, software development, standards and interoperability, user experience and interaction design, data security and privacy, and feedback-driven improvements. It also discusses challenges like data accuracy, complexity, cost, limited scope of representation, data privacy and security concerns, user engagement and adoption, and integration and compatibility issues faced while implementing this technology.","url":"https://doi.org/10.1109/mce.2023.3322013","authors":["Siva Sai","Aditya Rastogi","Vinay Chamola"],"tags":["Interoperability","Computer science","Electronics","Troubleshooting","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-04","doi":"https://doi.org/10.1109/mce.2023.3322013","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4387162866","name":"Exploring the Integration of Digital Twin and Generative AI in Agriculture","source":"openalex","abstract":"Agriculture is seeking a modern transformation to meet the demands of efficient and sustainable production. The integration of new technologies is crucial in this endeavor. Digital Twin (DT) and Generative Artifcual Intelligence (AI) have emerged as promising technologies in various industries. However, their potential in the agricultural sector remains relatively unexplored. This paper aims to bridge this research gap by examining the current studies and potential applications of DT and Generative AI in agriculture. We investigate the synergies between these technologies and their opportunities and challenges in agricultural practices. This research sheds light on the integration of DT and Generatiev AI in agriculture, paving the way for future advancements in the field.","url":"https://doi.org/10.1109/ihmsc58761.2023.00059","authors":["Jian Liu","Yongqi Zhou","Yu Li","Yong Li","Sha Hong","Qiang Li","Xin Liu","Ming Lu","Xing Wang"],"tags":["Generative grammar","Agriculture","Field (mathematics)","Computer science","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-01","doi":"https://doi.org/10.1109/ihmsc58761.2023.00059","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4391956962","name":"Digital Twin of a Water Supply System Using the Asset Administration Shell","source":"openalex","abstract":"The concept of digital twins is one of the fundamental pillars of Industry 4.0. Digital twin allows the realization of a virtual model of a real system, enhancing the relevant performance (e.g., in terms of production rate, risk prevention, energy saving, and maintenance operation). Current literature presents many contributions pointing out the advantages that may be achieved by the definition of a digital twin of a water supply system. The Reference Architecture Model for Industry 4.0 introduces the concept of the Asset Administration Shell for the digital representation of components within the Industry 4.0 ecosystem. Several proposals are currently available in the literature considering the Asset Administration Shell for the realization of a digital twin of real systems. To the best of the authors' knowledge, at the moment, the adoption of Asset Administration Shell for the digital representation of a water supply system is not present in the current literature. For this reason, the aim of this paper is to present a methodological approach for developing a digital twin of a water supply system using the Asset Administration Shell metamodel. The paper will describe the approach proposed by the author and the relevant model based on Asset Administration Shell, pointing out that its implementation is freely available on the GitHub platform.","url":"https://doi.org/10.3390/s24051360","authors":["Salvatore Cavalieri","Salvatore Gambadoro"],"tags":["Asset (computer security)","Digital asset management","Computer science","Shell (structure)","Realization (probability)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-20","doi":"https://doi.org/10.3390/s24051360","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4413160496","name":"A Review of Digital Twin Integration in Circular Manufacturing for Sustainable Industry Transition","source":"openalex","abstract":"The integration of digital twin (DT) technology into circular economy (CE) frameworks has emerged as a critical pathway for achieving sustainable and intelligent manufacturing under the Industry 4.0 paradigm. This study addresses the lack of structured guidance for DT adoption in CE strategies by proposing two interrelated frameworks: the Sustainable Digital Twin Maturity Path (SDT-MP) and the Digital Twin Nexus. The SDT-MP outlines progressive stages of DT deployment—from data acquisition and real-time monitoring to AI-enabled decision-making—aligned with CE principles and Industry 4.0 capabilities. The DT Nexus complements this maturity model by structuring the integration of enabling technologies such as AI, IoT, and edge/cloud computing to support closed-loop control, resource optimization, and predictive analytics. Through a mixed-methods approach combining literature analysis and real-world case validation, this research demonstrates how DTs can facilitate lifecycle intelligence, enhance operational efficiency, and drive sustainable transformation in manufacturing. The proposed frameworks offer a scalable roadmap for intelligent circular systems, addressing implementation challenges while supporting Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) by promoting digital infrastructure, innovation-driven manufacturing, and environmentally responsible industrial growth. This study contributes to the advancement of digital infrastructure and sustainable circular supply chains in the context of smart, connected industrial ecosystems.","url":"https://doi.org/10.3390/su17167316","authors":["Seyed Mohammad Mehdi Sajadieh","Sang Do Noh"],"tags":["Circular economy","Transition (genetics)","Business","Manufacturing engineering","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-13","doi":"https://doi.org/10.3390/su17167316","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4383901021","name":"Digital-twin-enabled JIT design of rock tunnel: Methodology and application","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tust.2023.105307","authors":["Xiaojun Li","Li Tang","Jiaxin Ling","Chao Chen","Yi Shen","Hehua Zhu"],"tags":["Reuse","Rock mass classification","Raw data","Automation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-11","doi":"https://doi.org/10.1016/j.tust.2023.105307","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4386275787","name":"A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems","source":"openalex","abstract":"Commonly adopted in the manufacturing and aerospace sectors, digital twin (DT) platforms are increasingly seen as a promising paradigm to control, monitor, and analyze software-based, “open”, communication systems that are expected to dominate 6G deployments. Notably, DT platforms provide a sandbox in which to test artificial intelligence (AI) solutions for communication systems, potentially reducing the need to collect data and test algorithms in the field, i.e., on the physical twin (PT). A key challenge in the deployment of DT systems is to ensure that virtual control optimization, monitoring, and analysis at the DT are safe and reliable, avoiding incorrect decisions caused by “model exploitation”. To address this challenge, this paper presents a general Bayesian framework with the aim of quantifying and accounting for model uncertainty at the DT that is caused by limitations in the amount and quality of data available at the DT from the PT. In the proposed framework, the DT builds a Bayesian model of the communication system, which is leveraged to enable core DT functionalities such as control via multi-agent reinforcement learning (MARL), monitoring of the PT for anomaly detection, prediction, data-collection optimization, and counterfactual analysis. To exemplify the application of the proposed framework, we specifically investigate a case-study system encompassing multiple sensing devices that report to a common receiver. Experimental results validate the effectiveness of the proposed Bayesian framework as compared to standard frequentist model-based solutions.","url":"https://doi.org/10.1109/jsac.2023.3310093","authors":["Clément Ruah","Osvaldo Simeone","Bashir M. Al‐Hashimi"],"tags":["Computer science","Bayesian probability","Data collection","Wireless","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-30","doi":"https://doi.org/10.1109/jsac.2023.3310093","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4308530355","name":"What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health","source":"openalex","abstract":"The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine and health. However, a problem that severely hampers progress in these fields is the lack of a solid definition of the concept behind a digital twin that would be directly amenable for such big data-driven fields requiring a statistical data analysis. In this paper, we address this problem. We will see that the term 'digital twin', as used in the literature, is like a Matryoshka doll. For this reason, we unstack the concept via a data-centric machine learning perspective, allowing us to define its main components. As a consequence, we suggest to use the term Digital Twin System instead of digital twin because this highlights its complex interconnected substructure. In addition, we address ethical concerns that result from treatment suggestions for patients based on simulated data and a possible lack of explainability of the underling models.","url":"https://doi.org/10.3390/ijms232113149","authors":["Frank Emmert‐Streib","Olli Yli‐Harja"],"tags":["Perspective (graphical)","Data science","Computer science","Big data","Term (time)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-29","doi":"https://doi.org/10.3390/ijms232113149","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4376870664","name":"Toward Digital twin for sustainable manufacturing: A data-driven approach for energy consumption behavior model generation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compind.2023.103949","authors":["Farah Abdoune","Lorenzo Ragazzini","Maroua Nouiri","Elisa Negri","Olivier Cardin"],"tags":["Energy consumption","Industrial engineering","Computer science","Field (mathematics)","Consumption (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-17","doi":"https://doi.org/10.1016/j.compind.2023.103949","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3186734769","name":"Complex product manufacturing and operation and maintenance integration based on digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-021-07350-6","authors":["Yunrui Wang","Wenzhe Ren","Yan Li","Chuanwei Zhang"],"tags":["Information integration","Manufacturing engineering","Engineering","Process (computing)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-28","doi":"https://doi.org/10.1007/s00170-021-07350-6","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W3210628742","name":"Towards a Framework for the Classification of Digital Twins and their Applications","source":"openalex","abstract":"The objective of this paper is to propose a categorization of the objects defined under the term “Digital Twins” in the literature, to reduce the misuse of this term and to facilitate the understanding of the developments in this scientific field. A review of the literature on the categorization and classification of Digital Twins has been carried out. A classification into four distinct categories was made, using a decision tree. These four categories of objects grouped under the term Digital Twin were then explained, presenting their functions as well as their frameworks of use. The classification criteria used for the realization of this study focus only on the existing links between the physical and virtual parts of the Digital Twins, from which will derive their functions. This document represents one of the first attempts to classify Digital Twins, and the first to propose a tool to facilitate the reading of articles on this subject, in the form of a decision tree.","url":"https://doi.org/10.1109/ice/itmc52061.2021.9570114","authors":["Guillaume Pronost","Frédérique Mayer","Brunelle Marche","Maurício Camargo","Laurent Dupont"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-21","doi":"https://doi.org/10.1109/ice/itmc52061.2021.9570114","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4376645303","name":"Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison","source":"openalex","abstract":"The ever-increasing demand for energy and power consumption due to population growth, economic expansion, and evolving consumer choices has led to the need for renewable energy sources. Traditional energy sources such as coal, oil, and gas have contributed to global pollution and have adverse effects on human health. As a result, the use of renewable energy for power generation has increased tremendously. One such area of research is solar irradiation prediction, which utilizes Artificial Intelligence and Machine Learning techniques. With the use of real-time predicted data, the digital twins are intended to add value to the organization by identifying and preventing problems, predicting performance, and improving operations. This paper provides an overview of various learning methods used for predicting irradiance and presents a new ensemble solar irradiance forecasting model that combines eight machine learning models to ensure model diversity. The model's most critical factors for predicting irradiance include temperature, cloudiness index, relative humidity, and day of the week. To conduct a comprehensive analysis, the proposed 8-Stacking Regression Cross Validation (8 STR-CV) model was tested using data from three different climatic zones in India. The model's high accuracy scores of 98.8% for Visakhapatnam, 98% for Nagpur, and 97.8% for the mountainous region make it a valuable tool for future prediction in various sectors, including power generation and utilization planning.","url":"https://doi.org/10.1016/j.ijin.2023.04.001","authors":["Neha Sehrawat","Sahil Vashisht","Amritpal Singh"],"tags":["Solar irradiance","Renewable energy","Irradiance","Computer science","Cloud cover"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.ijin.2023.04.001","addedAt":"2026-09-01T01:47:38.992Z","updatedAt":"2026-09-01T01:47:38.992Z"},{"id":"oa:W4402260162","name":"Digital Twins for Modern Power Electronics: An investigation into the enabling technologies and applications","source":"openalex","abstract":"Digital twins are emerging in power electronics as a tool for optimized design, fast prototyping, and smart maintenance, given the increasing demand in terms of high power density, reliability, and low cost. A power electronics digital twin can be regarded as a virtual representation of a power electronics system, embodied by a high-fidelity model running in real time, of which the states and model parameters are updated based on the feedback from the sensors or their data fusions. Digital twin models are developed in multiple domains and run in real time or even faster than real time. The data collected from the physical entities are transferred with controlled latencies and quality, and then processed to iterate the models to represent physical power electronics from application-oriented views. However, due to the nonlinearities and fast switching behaviors of power electronics, one significant challenge is to ensure high fidelity and fast computation simultaneously, which stimulates the real-time simulation (RTS) of power electronics with an ultralow time step. Moreover, the electrical, thermal, and electrothermal aspects shall all be considered to improve the model’s accuracy. To consider the uncertainties, the parameters of the digital twin models are either identified by advanced optimization algorithms or represented by probabilistic expressions. To make it possible, real-time communication should be established between the physical and digital twins. Empowered by modern Internet of Things (IoT) technology, many sensor signals can be transferred in a timely fashion to ensure real-time capability of the digital twin. The digital twin gives insightful information about its physical counterpart based on which smart decisions can be made to improve the design, prototyping, control, and lifecycle management of power electronics converters and systems. In this article, we review the digital twin of modern power electronics, and get an insight into its enabling technologies and possible applications.","url":"https://doi.org/10.1109/mele.2024.3423111","authors":["Hao Bai","Johannes Kuprat","Caio R. D. Osório","Chen Liu","Marco Liserre","Fei Gao"],"tags":["Electronics","Power electronics","Power (physics)","Electrical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-01","doi":"https://doi.org/10.1109/mele.2024.3423111","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4387242734","name":"Automated geometric digital twinning of bridges from segmented point clouds by parametric prototype models","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.autcon.2023.105101","authors":["M. Saeed Mafipour","Simon Vilgertshofer","André Borrmann"],"tags":["Point cloud","Parametric statistics","Bridge (graph theory)","Parametric model","Point (geometry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-02","doi":"https://doi.org/10.1016/j.autcon.2023.105101","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4317241540","name":"Intelligent digital twin for federated learning in AIoT networks","source":"openalex","abstract":"Federated Learning (FL) promises to solve the data privacy problem by training the local model on each node and sharing the model parameters instead of the data itself. Next, the FL server applies model aggregation techniques to aggregate the received models and broadcast the resulting model to the connected clients. This study proposes a Digital Twin-based Federated Learning (DT-FL) framework to virtually monitor and controls the remotely deployed physical clients and their training process. The connection-oriented protocol, Open Connectivity Foundation (OCF) Iotivity, connects the FL clients with the FL server to ensure packet delivery. OCF Iotivity sends/receives the models’ weights to/from the server, and Hyper Text Transfer Protocol (HTTP) is used to monitor clients’ local training. After receiving partially trained models from clients, the server performs the optimal model selection using the normal distribution method by considering the performance of the model. Finally, the best-selected models are aggregated, and the final model is broadcasted to the clients. The framework utilizes Raspberrypi 4 devices as clients with limited computational capabilities, due to which the experiments are conducted with structured energy consumption data. The dataset comprises of 8 multistory residential buildings located in different geographical locations of the Republic of Korea. Each residential building is treated as an FL client and registered on DT using the IP address and port number. The DT-FL framework can be used with classification and regression datasets, and the model architecture for that data can be designed on the DT platform. The experiments are conducted with the partial and full participation of clients. The results show the minimum delay time in physical and virtual object synchronization and better performance and generalization of the global model for each client. The source code of the proposed DT-FL framework is available on GitHub.","url":"https://doi.org/10.1016/j.iot.2023.100698","authors":["Atif Rizwan","Rashid Ahmad","Anam Nawaz Khan","Rongxu Xu","Do Hyeun Kim"],"tags":["Computer science","Node (physics)","Network packet","Aggregate (composite)","Protocol (science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-18","doi":"https://doi.org/10.1016/j.iot.2023.100698","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3127569636","name":"Real-Time Process-Level Digital Twin for Collaborative Human-Robot Construction Work","source":"openalex","abstract":"Real-Time Process-Level Digital Twin for Collaborative Human-Robot Construction Work Xi Wang, Ci-Jyun Liang, Carol Menassa and Vineet Kamat Pages 1528-1535 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7) Abstract: Widespread use of autonomous robots in on-site construction has been limited because it is impractical to preprogram robots to perform quasi-repetitive tasks due to the relatively loose work tolerances and deviations of as-built work from the project design. Robotization of field construction work must thus be conceived as a collaborative human-robot endeavor capable of planning and improvising during the performance of construction tasks. Although humans can control robot motion through teleoperation, it is often impractical due to the range of a robot's motion and associated safety issues arising from heavy or large construction materials. An intuitive and safe bi-directional interface is thus needed to enable construction robots to seamlessly interact with and partner with human co-workers. This paper proposes a framework that allows human-robot interaction and collaboration within a real-time, process-level, immersive virtual reality (VR) digital twin that is created by combining the as-designed BIM model and the evolving as-built workspace geometry obtained from on-site sensors. Humans can use the digital twin to remotely demonstrate a task plan to the robot. The robot understands the communicated objectives and plans its motion to complete the task, which is communicated back through the system for human evaluation and approval before the robot executes the task. A case study involving imperfect rough carpentry (i.e., stud framing) and a 6DOF KUKA drywall-installing robot arm is conducted to demonstrate and evaluate the digital twin system. Keywords: Improvisation; Digital twin; Virtual reality; Human-robot interaction DOI: https://doi.org/10.22260/ISARC2020/0212 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley","url":"https://doi.org/10.22260/isarc2020/0212","authors":["Xi Wang","Ci‐Jyun Liang","Carol C. Menassa","Vineet R. Kamat"],"tags":["Robot","Teleoperation","Human–computer interaction","Computer science","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-14","doi":"https://doi.org/10.22260/isarc2020/0212","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4387185690","name":"RETRACTED ARTICLE: Explainable context-aware IoT framework using human digital twin for healthcare","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11042-023-16922-5","authors":["Tarun Vats","Sarjana Singh","Sudhakar Kumar","Brij B. Gupta","Shabeg Singh Gill","Varsha Arya","Wadee Alhalabi"],"tags":["Computer science","Context (archaeology)","Wearable computer","Machine learning","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-29","doi":"https://doi.org/10.1007/s11042-023-16922-5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4313854978","name":"Diagnosis of PV faults using digital twin and convolutional mixer with LoRa notification system","source":"openalex","abstract":"The amount of energy that is generated using photovoltaic (PV) arrays has been increasing rapidly over recent years. To avoid energy and financial losses due to PV faults, numerous methods for diagnosing PV faults have been proposed. Both digital twin (DT) and deep learning (DL) have been proven to be effective in solving detection/classification problems in various fields. This work develops a method of PV fault diagnosis that has the following three stages: (1) Detection of faults in a PV array using DT, (2) classification of the detected faults using ConvMixer, and (3) notification of detected and classified faults using a LoRa (long-range) system. DT is a virtual/digital model that is designed to reflect accurately the behavior and characteristics of a physical object. This work implements the model-based DC power generation of PV arrays using DT. In this study, a new DL method, called the convolutional mixer (ConvMixer) based on patch embedding and combining depthwise and pointwise convolutions to classify PV faults, is presented. The inputs of ConvMixer are 2D images generated from data on PV DC array power using a Markov transition field (MTF) transform. A LoRa notification system is very suitable for use in low-power wide-area networks (LPWANs), such as those needed in large PV farms. Simulation results demonstrate that the proposed ConvMixer outperforms other classical machine learning (ML) methods, such as decision tree, k-nearest neighbor, random forest, and support vector machine methods, as well as other classical CNN-based methods, such as AlexNet, ResNet50, VGG16, and VGG19. A real-time digital simulator (Opal-RT eMegasim) is used to verify the real-time applicability of the integration of DT, ConvMixer, and the LoRa notification system.","url":"https://doi.org/10.1016/j.egyr.2023.01.011","authors":["Ying‐Yi Hong","Rolando Pula"],"tags":["Computer science","Photovoltaic system","Real-time computing","Fault (geology)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-09","doi":"https://doi.org/10.1016/j.egyr.2023.01.011","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4352976997","name":"Shared Steering Control With Predictive Risk Field Enabled by Digital Twin","source":"openalex","abstract":"A core issue of safe human-machine cooperative driving lies in dynamic assessment of the rapidly evolving driving risks. Given that, this paper proposes a shared controller for safe and human-friendly cooperative driving based on predictive risk assessment enabled by Digital Twin technologies. In the digital world, we create a fine-grained digital replica of the driving scene comprising historical motions of vehicles, as well as roadway geometries and topologies. On the basis of that, spatial-temporal interactive features are obtained with a deep learning-based model and subsequently decoded to predict future trajectories of each target vehicle in the neighborhood of the ego-vehicle. In the physical world, the predicted trajectories of neighboring vehicles are integrated into the risk distribution to construct predictive risk fields. A novel shared controller in the framework of multi-objective MPC is designed to minimize the driving risk while matching driver's commands, so that safe cooperative driving is achieved in a smooth and minimal-intervention manner. The results of driver-in-the-loop simulation experiments demonstrate the enabling role of the Digital Twin in improving the assessment of risk in highly dynamic scenes through taking the motion trends of dynamic agents into account. The results also show the superiority of the Digital Twin-based shared controller in terms of implementing cooperation in time while honoring the driver's commands whenever possible.","url":"https://doi.org/10.1109/tiv.2023.3259970","authors":["Yang Liang","Zhishuai Yin","Linzhen Nie","Yuanxin Ba"],"tags":["Controller (irrigation)","Model predictive control","Computer science","Construct (python library)","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-21","doi":"https://doi.org/10.1109/tiv.2023.3259970","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3212188994","name":"Edge Computing and Digital Twin Based Smart Manufacturing","source":"openalex","abstract":"This paper presents a novel approach to implement smart manufacturing concepts based on the edge computing paradigm using a distributed network of interconnected manufacturing nodes. These cyber-physical entities act as edge devices and combine the concepts of holons and digital agents together with local digital twins to enable local control, decision making and optimization. The network of manufacturing nodes is controlled globally by the global digital agent connected to a global digital twin for production order and logistics optimization, and locally by the local digital agents, digital twins, and information shared by the node network. The main contribution of this paper is a demonstration of the concept of edge computing based smart manufacturing with distributed control structure.","url":"https://doi.org/10.1016/j.ifacol.2021.08.098","authors":["Jernej Protner","Miha Pipan","Hugo Zupan","Matevž Resman","Marko Šimić","Niko Herakovič","Matevz Resman","Marko Simic","Niko Herakovic"],"tags":["Enhanced Data Rates for GSM Evolution","Computer science","Smart manufacturing","Node (physics)","Edge computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.08.098","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W4362703568","name":"Federated Data Modeling for Built Environment Digital Twins","source":"openalex","abstract":"The digital twin (DT) approach is an enabler for data-driven decision making in architecture, engineering, construction, and operations. Various open data models that can potentially support the DT developments, at different scales and application domains, can be found in the literature. However, many implementations are based on organization-specific information management processes and proprietary data models, hindering interoperability. This article presents the process and information management approaches developed to generate a federated open data model supporting DT applications. The business process modeling notation and transaction and interaction modeling techniques are applied to formalize the federated DT data modeling framework, organized in three main phases: requirements definition, federation, validation and improvement. The proposed framework is developed adopting the cross-disciplinary and multiscale principles. A validation on the development of the federated building-level DT data model for the West Cambridge Campus DT research facility is conducted. The federated data model is used to enable DT-based asset management applications at the building and built environment levels.","url":"https://doi.org/10.1061/jccee5.cpeng-4859","authors":["Nicola Moretti","Xiang Xie","Jorge Merino García","Janet Chang","Ajith Kumar Parlikad"],"tags":["Interoperability","Computer science","Data modeling","Data model (GIS)","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-07","doi":"https://doi.org/10.1061/jccee5.cpeng-4859","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3085592430","name":"Resource planning for risk diversification in the formation of a digital twin enterprise","source":"openalex","abstract":"Recently, there has been explosive growth in the development of the digital industry concept. One of the most important elements of this concept is the application of mathematical modeling methods and data mining to create models of production processes and final products, with the aim of making decisions under stochastic uncertainty. In this paper, a method of diversifying the investment portfolio in the formation of a digital twin is proposed, which is aimed at reducing the total risk by distributing existing assets (resources, investments, etc.) between the analog and digital enterprises. Three types of scenario are proposed: pessimistic -when an enterprise -a pessimist -does not show risk exposure under this scenario when forming a digital counterpart; neutral -when an enterprise shows a neutral attitude to risk (indifference); optimistic -enterprise -optimist is exposed to risk, in particular the risk of untapped opportunities. The result is a set of optimal portfolios, each reflecting a particular position of the enterprise on the risks of untapped opportunities and a certain scenario of forming a portfolio structure, taking into account the relationship between the individual components of the risks of untapped opportunities. Highlighted the advantages of technology \"digital twins\" for business. Digital counterparts use the data obtained from sensors installed on production lines or on the basis of the final product to predict equipment malfunctions, optimize product quality and reduce the negative impact of production processes on the environment.","url":"https://doi.org/10.5267/j.ac.2020.8.016","authors":["Анастасія Лєзіна","Катерина Анатоліївна Андрющенко","O. D. Rozhko","Олександр Дацій","Л. О. Міщенко","Oleksandra Cherniaieva"],"tags":["Diversification (marketing strategy)","Business","Resource (disambiguation)","Natural resource economics","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.5267/j.ac.2020.8.016","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4388550734","name":"Multiobjective optimization-based decision support for building digital twin maturity measurement","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2023.102245","authors":["Zhen‐Song Chen","Kou-Dan Chen","Ya-Qiang Xu","Witold Pedrycz","Mirosław J. Skibniewski"],"tags":["Maturity (psychological)","Standardization","Capability Maturity Model","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-09","doi":"https://doi.org/10.1016/j.aei.2023.102245","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4226415862","name":"Digital Twins-Based Automated Pilot for Energy-Efficiency Assessment of Intelligent Transportation Infrastructure","source":"openalex","abstract":"To realize the great potential of the intelligent transportation infrastructure, the investment in the transportation infrastructure in the intelligent transportation system should be rationally planned. Firstly, the application status of cutting-edge Data Envelopment Analysis (DEA) model in transportation infrastructure efficiency evaluation is analyzed, and based on this, a DEA model of transportation infrastructure efficiency evaluation under Digital Twins technology is established. Secondly, with the transportation infrastructure of 12 prefecture-level cities in Jiangsu Province from 2005 to 2020 as the research object, the Digital Twins DEA model and the traditional Stochastic Frontier Approach (SFA) model are used to estimate the efficiency of transportation infrastructure in 12 cities. Finally, the traffic flow data of a certain road section in Zhenjiang City (J11 City) is simulated and predicted by using the Long Short-term Memory (LSTM) traffic flow prediction model. The results show that the average efficiency of the 12 cities estimated by the DEA model based on the Digital Twins is 0.7083, the average efficiency of the 12 cities estimated by the SFA model is 0.6445, and there are significant differences in the efficiency rankings of the cities. Compared with the actual efficiency, the established Digital Twins DEA model is more reasonable for the calculation of transportation infrastructure efficiency. The results of the LSTM traffic flow prediction model show that the Mean Absolute Error (MAE) of the LSTM model is 24.29, the Root Mean Square Error (RSME) is 0.1186, and the Mean Absolute Perce (MAPE) is 17.78, which are all lower than other models. Compared with other models, the proposed LSTM-based traffic flow prediction model is more accurate in traffic flow prediction. Hence, the research content provides a reference for the investment planning of intelligent transportation system infrastructure.","url":"https://doi.org/10.1109/tits.2022.3166585","authors":["Zhen Tu","Liang Qiao","Robert Nowak","Haibin Lv","Zhihan Lv"],"tags":["Mean absolute percentage error","Intelligent transportation system","Data envelopment analysis","Transportation infrastructure","Mean squared error"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-25","doi":"https://doi.org/10.1109/tits.2022.3166585","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4410397000","name":"A multi-scale spatial–temporal interaction fusion network for digital twin-based thermal error compensation in precision machine tools","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.eswa.2025.127812","authors":["Chi Ma","Rongfeng Mu","Mingming Li","Jialong He","Chunlei Hua","Liang Wang","Jialan Liu","Giovanni Totis","Jun Yang","Kuo Liu","Yuansheng Zhou","Jianqiang Zhou","Xiaolei Deng","Shengbin Weng"],"tags":["Computer science","Compensation (psychology)","Fusion","Scale (ratio)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-15","doi":"https://doi.org/10.1016/j.eswa.2025.127812","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W2749621242","name":"Engine Fleet-Management: The Use of Digital Twins From a MRO Perspective","source":"openalex","abstract":"Engine operating cost is a major contributor to the direct operating cost of aircraft. Therefore, the minimization of engine operating cost per flight-hour is a key aspect for airlines to operate successfully under challenging market conditions. The interaction between maintenance cost, operating cost, asset value, lease and replacement cost describes the area of conflict in which engine fleets can be optimized. State-of-the-art fleet management is based on advanced diagnostic and prognostic methods on engine and component level to provide optimized long-term removal and work-scoping forecasts on fleet level based on the individual operation. The key element of these methods is a digital twin of the active engines consisting of multilevel models of the engine and its components. This digital twin can be used to support deterioration and failure analysis, predict life consumption of critical parts and relate the specific operation of a customer to the real and expected condition of the engines on-wing and at induction to the shop. The fleet management data is constantly updated based on operational data sent from the engines as well as line maintenance and shop data. The approach is illustrated along the real application on the CFM56-5C, a mature commercial two-spool high bypass engine installed on the Airbus A340-300. It can be shown, that the new methodology results in major improvements on the considered fleets.","url":"https://doi.org/10.1115/gt2017-63336","authors":["Joern Kraft","Stefan Kuntzagk"],"tags":["Fleet management","Computer science","Operating cost","Cost driver","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-06-26","doi":"https://doi.org/10.1115/gt2017-63336","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W2995366341","name":"Design of Digital Twins for Optimization of a Water Bottling Plant","source":"openalex","abstract":"The advent of Industry 4.0 has resulted in a paradigm shift in the role of assembly lines in a manufacturing system. Previously, assembly lines were the central component in bringing about mass production. However, the shift in focus from mass production to mass customization has resulted in several changes to the traditional assembly line. A notable change is the need to create a Digital Twin, which can replicate physical assets, processes and systems that fulfill the various processes in a real world plant. This paper looks at creating a Digital Twin for the optimization of a water bottling plant in a production line. The Digital Twin utilizes an Open Platform Communication server to collect sensor information from the production line through a PLC. Once the Digital Twin has processed the information, the applied solution can then be sent back to the Open Platform Communication server and read in by the individual PLC's to reduce bottlenecks and production delays. This is accomplished by setting up a Digital Twin with three SMART Manufacturing Units that are tasked with the production of 500ml water bottles. Here premade 500ml bottles are fed into the system, filled by the first SMART Manufacturing Unit, capped by the second and thirdly packaged to order. The Digital Twin will be used to analyze the performance of the SMART Manufacturing Units connected in a production line. This performance can then be used as an estimation of how well the physical production line can hope to perform and give an indication of time to market.","url":"https://doi.org/10.1109/iecon.2019.8926880","authors":["Gareth A. Gericke","R.B. Kuriakose","H.J. Vermaak","Ole Mardsen"],"tags":["Bottling line","Mass customization","Production line","Production (economics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/iecon.2019.8926880","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4214874710","name":"Digital Twin to Detect Nuclear Proliferation: A Case Study","source":"openalex","abstract":"Abstract This case study describes the development of technologies that enable digital-engineering and digital-twinning efforts in proliferation detection. The project presents a state-of-the-art approach to support International Atomic Energy Agency (IAEA) safeguards by incorporating diversion-pathway analysis, facility misuse, and the detection of indicators within the reactor core, applying the safeguards-by-design concept, and demonstrates its applicability as a sensitive monitoring system for advanced reactors and power plants. There are two pathways a proliferating state might take using the reactor core. One is “diversion,” where special fissionable nuclear material—i.e., Pu-239, U-233, U enriched in U-233/235—that has been declared to the IAEA is removed surreptitiously, either by taking small amounts of nuclear material over a long time (known as protracted diversion) or large amounts in a short time (known as abrupt diversion). The second pathway is “misuse,” where undeclared source material—material that can be transmuted into special fissionable nuclear material: depleted uranium, natural uranium, and thorium—is placed in the core, where it uses the neutron flux for transmutation. Digital twinning and digital engineering have demonstrated significant performance improvement and schedule reduction in the aerospace, automotive, and construction industries. This integrated modeling approach has not been fully applied to nuclear safeguards programs in the past. Digital twinning, combined with machine learning technologies, can lead to new innovations in process-monitoring detection, specifically in event classification, real-time notification, and data tampering. It represents a technological leap in evaluation and detection capability to safeguard any nuclear facility.","url":"https://doi.org/10.1115/1.4053979","authors":["Christopher Ritter","Ross Hays","Jeren M Browning","Ryan Stewart","Samuel E. Bays","Gustavo Delgado Reyes","Mark Schanfein","Adam Pluth","Piyush Sabharwall","M. Ross Kunz","Ashley Shields","John A Koudelka","Porter J Zohner"],"tags":["Fissile material","Nuclear material","Enriched uranium","Natural uranium","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-02","doi":"https://doi.org/10.1115/1.4053979","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3194471921","name":"Hybrid Analytical and Data-Driven Modeling Techniques for Digital Twin Applications","source":"openalex","abstract":"This paper summarizes, compares, and contrasts various modeling techniques which can be used in the notional digital twins which are under development for naval shipboard power and energy systems. The models can range from fully predetermined analytical models to fully data-driven empirical models, along with many hybrid approaches which fall between the two extremes. Hybrid approaches are of particular interest for digital twin applications as they can share benefits of both rigid analytical models and empirical models. One hybrid approach is proposed and discussed in detail as a particularly effective modeling solution. Drawbacks of the proposed approach are presented, along with further improvements which can mitigate those shortcomings.","url":"https://doi.org/10.1109/ests49166.2021.9512364","authors":["Andrew Wunderlich","Kristen Booth","Enrico Santi"],"tags":["Computer science","Range (aeronautics)","Notional amount","Data modeling","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-03","doi":"https://doi.org/10.1109/ests49166.2021.9512364","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3199893190","name":"Towards a Digital Twin Framework for Autonomous Robots","source":"openalex","abstract":"This paper demonstrates a step on the transition towards a digital twin for a desktop version of an agricultural robot. This includes implementation of motor control and in-door localisation capabilities for the robot. Data from the physical twin is streamed to a co-simulation based on the Functional-Mockup Interface, in which a digital twin simulates the robot’s movement. Safety constraints are established inside the digital twin and a proof of concept communication is enabled when such constraints are violated.","url":"https://doi.org/10.1109/compsac51774.2021.00174","authors":["Gill Lumer-Klabbers","Jacob Odgaard Hausted","Jakob Levisen Kvistgaard","Hugo Daniel Macedo","Mirgita Frasheri","Peter Gorm Larsen"],"tags":["Robot","Computer science","Interface (matter)","Robot control","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-01","doi":"https://doi.org/10.1109/compsac51774.2021.00174","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4313306789","name":"Smart City IoT Application for Road Infrastructure Safety and Monitoring by Using Digital Twin","source":"openalex","abstract":"Industrial internet of things (IIoT) enhances automation and safety in transportation flow and new technology must meet the agents. Digital twins in road infrastructure will improve public safety and security remotely in real time and train the infrastructure for future self-automation systems. This study incorporates the notion of digital twin, adopts the learning and perception model of virtual space, and investigates essential technologies for linking to system infrastructure's physical area. This article examines high automation and intelligent control in the data center, from planning to maintenance to virtual space optimization. Physical space sensors capture data and share it with virtual space via 5G, Wi-Fi, etc. Cloud servers enable end users visualize data and information operations with digital models and mobile apps.","url":"https://doi.org/10.1109/icit56493.2022.9989141","authors":["Ashfaq Niaz","Samiullah Khan","Fahim Niaz","Muhammad Usman Shoukat","Ibrar Niaz","Yanbing Jia"],"tags":["Automation","Computer science","Cloud computing","Server","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-03","doi":"https://doi.org/10.1109/icit56493.2022.9989141","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3091835234","name":"Creation of digital twins of neural network technology of personalization of food products for diabetics","source":"openalex","abstract":"The article discusses the problems of creating Digital Twin for use in neural network technology for personalizing food products for people with a genetic predisposition to diabetes. When designing an information system for personalizing food products, it is proved that the main direction of development is the modeling of a Digital Twin of the product and the consumer, as well as the determination of the technologies that form the basis of the personalized food model to create an accurate, correctly functioning system.","url":"https://doi.org/10.1109/dcnair50402.2020.9216776","authors":["Andrey M. Vaskovsky","Marina S. Chvanova","Максим Ребезов"],"tags":["Personalization","Artificial neural network","Product (mathematics)","Computer science","Food products"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-09-01","doi":"https://doi.org/10.1109/dcnair50402.2020.9216776","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3129040126","name":"A Warehouse Management System with UAV Based on Digital Twin and 5G Technologies","source":"openalex","abstract":"In this paper, a warehouse management system with UAV based on digital twin and 5G technology will be introduced. The system aim at the problems of imperfect information exchange, disorder of cargo statistics and laborious manual cargo inventory, in order to realize intelligent, controllable and convenient warehouse management, a warehouse management system with UAV based on digital twin and 5G technology is developed. We use Ali cloud as data processing center and 5G communication as the core exchange means. The digital twin platform and the entity warehouse are successfully docked. The flight data and cargo information of the entity warehouse with UAV are uploaded to Ali cloud through 5G communication, and then are sent to the digital twin platform to get real-time warehouse data and visual feedback. At the same time, the instructions are sent by the digital twin platform to operate the UAV. In addition, the instructions are uploaded to Ali cloud, and then are sent to the entity warehouse through the cloud for real-time remote control of the UAV, which realizes the two-way information interaction between the virtual platform and the real platform. Ultimately, the problems of low intelligent level in the logistics warehouse management system and the dilatory feedback of goods information in warehouse are solved.","url":"https://doi.org/10.1109/iccss52145.2020.9336832","authors":["Shazhou Chen","Wei Meng","Weiyuan Xu","Zhuoqiang Liu","Jiachuang Liu","Fengyan Wu"],"tags":["Upload","Cloud computing","Warehouse","Computer science","Data warehouse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-13","doi":"https://doi.org/10.1109/iccss52145.2020.9336832","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4205229559","name":"Hybrid Digital Twins: A Primer on Combining Physics-Based and Data Analytics Approaches","source":"openalex","abstract":"Two popular approaches to building digital twins are pure data-based and physics/simulation-based methods. In this article, we present a framework for hybrid digital twins that combines the strengths of the two approaches, sharing results and demonstrating applicability to a flow network.","url":"https://doi.org/10.1109/ms.2021.3134042","authors":["Matt Adams","Xiao Li","Lucas Boucinha","Sameer Kher","Prith Banerjee","José Luis González"],"tags":["Computer science","Data science","Analytics","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-10","doi":"https://doi.org/10.1109/ms.2021.3134042","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4385477163","name":"A multiscale predictive digital twin for neurocardiac modulation","source":"openalex","abstract":"Cardiac function is tightly regulated by the autonomic nervous system (ANS). Activation of the sympathetic nervous system increases cardiac output by increasing heart rate and stroke volume, while parasympathetic nerve stimulation instantly slows heart rate. Importantly, imbalance in autonomic control of the heart has been implicated in the development of arrhythmias and heart failure. Understanding of the mechanisms and effects of autonomic stimulation is a major challenge because synapses in different regions of the heart result in multiple changes to heart function. For example, nerve synapses on the sinoatrial node (SAN) impact pacemaking, while synapses on contractile cells alter contraction and arrhythmia vulnerability. Here, we present a multiscale neurocardiac modelling and simulator tool that predicts the effect of efferent stimulation of the sympathetic and parasympathetic branches of the ANS on the cardiac SAN and ventricular myocardium. The model includes a layered representation of the ANS and reproduces firing properties measured experimentally. Model parameters are derived from experiments and atomistic simulations. The model is a first prototype of a digital twin that is applied to make predictions across all system scales, from subcellular signalling to pacemaker frequency to tissue level responses. We predict conditions under which autonomic imbalance induces proarrhythmia and can be modified to prevent or inhibit arrhythmia. In summary, the multiscale model constitutes a predictive digital twin framework to test and guide high-throughput prediction of novel neuromodulatory therapy. KEY POINTS: A multi-layered model representation of the autonomic nervous system that includes sympathetic and parasympathetic branches, each with sparse random intralayer connectivity, synaptic dynamics and conductance based integrate-and-fire neurons generates firing patterns in close agreement with experiment. A key feature of the neurocardiac computational model is the connection between the autonomic nervous system and both pacemaker and contractile cells, where modification to pacemaker frequency drives initiation of electrical signals in the contractile cells. We utilized atomic-scale molecular dynamics simulations to predict the association and dissociation rates of noradrenaline with the β-adrenergic receptor. Multiscale predictions demonstrate how autonomic imbalance may increase proclivity to arrhythmias or be used to terminate arrhythmias. The model serves as a first step towards a digital twin for predicting neuromodulation to prevent or reduce disease.","url":"https://doi.org/10.1113/jp284391","authors":["Pei‐Chi Yang","Adam J. Rose","Kevin R. DeMarco","John R.D. Dawson","Yanxiao Han","Mao-Tsuen Jeng","Robert D. Harvey","Luis F. Santana","Crystal M. Ripplinger","Igor Vorobyov","Timothy J. Lewis","Colleen E. Clancy"],"tags":["Sinoatrial node","Autonomic nervous system","Efferent","Neuroscience","Stimulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-01","doi":"https://doi.org/10.1113/jp284391","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4281264031","name":"Digital twins supported equipment maintenance model in intelligent water conservancy","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compeleceng.2022.108033","authors":["Zhoukai Wang","Weina Jia","Kening Wang","Yichuan Wang","Qiaozhi Hua"],"tags":["Hydropower","Predictive maintenance","Fault (geology)","Work (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-21","doi":"https://doi.org/10.1016/j.compeleceng.2022.108033","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3126853285","name":"An Agent-Based Digital Twin for Exploring Localized Non-pharmaceutical Interventions to Control COVID-19 Pandemic","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s41403-020-00197-5","authors":["Souvik Barat","Ritu Parchure","Shrinivas Darak","Vinay Kulkarni","Aditya A. Paranjape","Monika Gajrani","Abhishek Yadav"],"tags":["Psychological intervention","Social distance","Intervention (counseling)","Enforcement","Population"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-29","doi":"https://doi.org/10.1007/s41403-020-00197-5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4408390904","name":"Industrial applications of digital twins: A systematic investigation based on bibliometric analysis","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2025.103264","authors":["Jiangzhuo Ren","Rafiq Ahmad","Dabing Li","Yongsheng Ma","Jizhuang Hui"],"tags":["Computer science","Data science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-13","doi":"https://doi.org/10.1016/j.aei.2025.103264","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4385666491","name":"Guidelines for designing a digital twin for Li-ion battery: A reference methodology","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.energy.2023.128699","authors":["Concetta Semeraro","Haya Aljaghoub","Mohammad Ali Abdelkareem","Abdul Hai Alami","Michele Dassisti","A.G. Olabi"],"tags":["Battery (electricity)","Replica","Reliability engineering","Computer science","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-08","doi":"https://doi.org/10.1016/j.energy.2023.128699","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3160139595","name":"Language matters: the ‘digital twin’ metaphor in health and medicine","source":"openalex","abstract":"Towards an ethics of digital twins in medicine, Mattias Braun considers several important bioethical issues in relation to the use of digital twin simulations in health and medical contexts.He focuses on the ways these simulations are used or proposed to be deployed in these domains, including to what extent they are a 'true' or 'real' representation of human bodies.In this response, I want to take a step back and delve into the metaphor of the 'digital twin'.I consider the implications of using this metaphor in the context of medical care and how this choice of language participates in what science and technology scholars term the 'sociomaterial imaginaries' that are used to support and promote novel technologies.1","url":"https://doi.org/10.1136/medethics-2021-107517","authors":["Deborah Lupton"],"tags":["Metaphor","Bioethics","Context (archaeology)","Representation (politics)","Relation (database)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-12","doi":"https://doi.org/10.1136/medethics-2021-107517","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4396602409","name":"Estimation of load-carrying capacity of cracked RC beams using 3D digital twin model integrated with point clouds and images","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.engstruct.2024.118126","authors":["Congguang Zhang","Jiangpeng Shu","He Zhang","Yingjie Ning","Yantao Yu"],"tags":["Point cloud","Structural engineering","Finite element method","Enhanced Data Rates for GSM Evolution","Point (geometry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-03","doi":"https://doi.org/10.1016/j.engstruct.2024.118126","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W2948944248","name":"Re-design of smart homes with digital twins","source":"openalex","abstract":"Abstract One of the key transformations in the epoch of the Internet of Things(IoT) and industry innovation is Digital twin. The top trending technologies like Machine learning, artificial intelligence, Cloud Computing platforms, Big data architectures, Software analytics and the Internet of things(IoT) are integrated and used by a digital twin concept in an immense way which changes the IT business productivity and reduces the cost of investment. Digital Twin is a flourishing tool which integrates the both physical and virtual scenarios/worlds. This paper presents the re-designing solution for Smart homes using the digital twin paradigm. The introduction and the concept of this technology are introduced first, and then presented a sophisticated smart home architecture with digital twin. At last we performed experiments on this digital twin architecture and compared with normal IoT implementations. In this Whitepaper, we reviewed the concepts of Digital twin technology, IoT and re-designing idea for building Smart Homes.","url":"https://doi.org/10.1088/1742-6596/1228/1/012031","authors":["Velivela Gopinath","Amjuri Sai Srija","C Neethu Sravanthi"],"tags":["Cloud computing","Computer science","Implementation","Architecture","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-01","doi":"https://doi.org/10.1088/1742-6596/1228/1/012031","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W2902554453","name":"Digital Twinning for Smart Industry","source":"openalex","abstract":"The Smart Industry is driven by the intensive use of information and communication technologies in the automation of manufacturing, supply chain management and new product development. This paper aims to present insights and enterprise perspective view on Digital Twins emerging technology which is c","url":"https://doi.org/10.4108/eai.6-11-2018.2279986","authors":["Sławomir Luściński"],"tags":["Smart manufacturing","Automation","Supply chain","Industry 4.0","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.4108/eai.6-11-2018.2279986","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W4391991732","name":"A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network","source":"openalex","abstract":"Federated learning (FL) is proposed as a different approach for distributed learning on the edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep classifying and clustering models, with little consideration offered to the federated reinforcement learning (FRL) task on the edge, a difficult task in which several trained agents track local state and take local actions to train a global learning model without disclosing their local dataset. Several neural network models based on FRL have been presented recently to determine the best method for computation offloading (CO) and resource allocation (RA), particularly in Unmanned Aerial Vehicle (UAV) assisted Mobile Edge Computing (MEC). However, because of the complexity and variety of computational tasks involved in 6G and beyond networks, the FRL algorithms are challenging to apply directly to complicated UAV-assisted MEC scenarios. In this study, we present a generalized FRL approach based on a meta learning technique that incorporates RL models explained by numerous smart devices into a generic model. This research uses a normalized characteristic matrix to divide a complex network into small-scale units and provides a normalized network model for complex network situations based on the FRL meta critic method to determine the CO and RA strategy in a Digital Twin (DT)-enabled UAV-assisted MEC system. Numerical results show that the proposed scheme achieves higher and more reliable overall rewards. Proposed method achieves a 73.15% reduction in reward variance and a 14.23% increase in average rewards over 570 continuous operations.","url":"https://doi.org/10.1109/tce.2024.3368156","authors":["Prakhar Consul","Ishan Budhiraja","Deepak Garg","Neeraj Kumar","Ramendra K. Singh","Ahmad Almogren"],"tags":["Reinforcement learning","Computer science","Mobile edge computing","Resource allocation","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-01","doi":"https://doi.org/10.1109/tce.2024.3368156","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"oa:W3021965143","name":"Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study","source":"openalex","abstract":"This paper proposes a novel adaptive controller based on digital twin (DT) by integrating software-in-loop (SIL) and hardware-in-loop (HIL). This work aims to reduce the difference between the SIL controller and its physical controller counterpart using the DT concept. To highlight the applicability of the suggested methodology, the regulation control of a horizontal variable speed wind turbine (WT) is considered for the design and assessment purposes. In the presented digital twin framework, the active disturbance rejection controller (ADRC) is implemented for the pitch angle control of the WT plant in both SIL and HIL environments. The design of the ADRC controllers in the DT framework is accomplished by adopting deep deterministic policy gradient (DDPG) in two stages: ( i ) by employing a fitness evaluation of wind speed error, the internal coefficients of HIL controller are adjusted based on DDPG for the regulation of WT plant, and ( ii ) the difference between the rotor speed waveforms in HIL and SIL are reduced by DDPG to obtain a similar output behavior of the system in these environments. Some examinations based on DT are conducted to validate the effectiveness, high dynamic performance, robustness and adaptability of the suggested method in comparison to the prevalent state-of-the-art techniques. The suggested controller is seen to be significantly more efficient especially in the compensation of high aerodynamic variations, unknown uncertainties and also mechanical stresses on the plant drive train.","url":"https://doi.org/10.3390/inventions5020019","authors":["Meisam Jahanshahi Zeitouni","A. Parvaresh","Saber Abrazeh","Saeid-Reza Mohseni","Meysam Gheisarnejad","Mohammad Hassan Khooban"],"tags":["Turbine","Power electronics","Electronics","Wind power","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-08","doi":"https://doi.org/10.3390/inventions5020019","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3112163277","name":"The future of digital twins for drying","source":"openalex","abstract":"What is a digital twin? So-called digital twins are emerging fast in multiple industries. Gartner envisages that by 2021, half of the larger companies will make use of digital twins.[1] But what is...","url":"https://doi.org/10.1080/07373937.2021.1860312","authors":["Defraeye Thijs","Daniel Onwude"],"tags":["Identical twins","Business","Computer science","Biology","Genetics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-30","doi":"https://doi.org/10.1080/07373937.2021.1860312","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/iotm.001.2300113","name":"Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iotm.001.2300113","authors":["Kübra Duran","Mehmet Özdem","Trang Hoang","Trung Q. Duong","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-18T20:09:58Z","doi":"10.1109/iotm.001.2300113","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/infocomwkshps65812.2025.11152793","name":"CARLA-Twin: A Large-Scale Digital Twin Platform for Advanced Networking Research","source":"crossref","abstract":"","url":"https://doi.org/10.1109/infocomwkshps65812.2025.11152793","authors":["Zifan Zhou","Cheng-Chia Lai","Bo Han","Cheng-Hsin Hsu","Songqing Chen","Bin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T17:28:22Z","doi":"10.1109/infocomwkshps65812.2025.11152793","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4018/978-1-6684-7548-5.ch023","name":"BIM Bin","source":"crossref","abstract":"A groundswell of opinion exist about the present and future use of smart cities and digital twin technologies and processes and, despite increasing use of information modelling, artificial intelligence, and internet of things, many challenges remain in designing and implement integrated smart systems in large scale contexts. Often, the big picture is shadowed by fragmented processes, and there is a disconnect between the problem and the solution. This chapter aims to address this inverted approach, based on a solution looking for a problem by focusing on the problems of developing integrated solutions for smart cities based on digital twins. The narrative in this chapter is informed by a research project exploring the digitalisation of facilities management processes in Bath, UK. The conclusion is that the development of digital twins goes far beyond linking digital models to sensors.","url":"https://doi.org/10.4018/978-1-6684-7548-5.ch023","authors":["Ricardo Codinhoto","Olivia Becher","Jonathan Neil Heron","Vincenzo Donato"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-05T09:57:01Z","doi":"10.4018/978-1-6684-7548-5.ch023","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.12688/digitaltwin.17475.1","name":"Digital twins for well-being: an overview","source":"crossref","abstract":"Digital twin (DT) has gained success in various industries, and it is now getting attention in the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present an overview of WDT to understand its potential scope, architecture and impact. We then discuss the definition and the benefits of WDT. After that, we present the evolution of DT frameworks. Subsequently we discuss the challenges, the different types, the drawbacks, and potential application areas of WDT. Finally we present the requirements for a WDT framework extracted from the literature.","url":"https://doi.org/10.12688/digitaltwin.17475.1","authors":["Rahatara Ferdousi","Fedwa Laamarti","M. Anwar Hossain","Chunsheng Yang","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-21T07:30:09Z","doi":"10.12688/digitaltwin.17475.1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dtpi52967.2021.9540118","name":"A digital-twin-assisted fault diagnosis of railway point machine","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi52967.2021.9540118","authors":["Shiyao Zhang","Hairong Dong","Ulrich Maschek","Haifeng Song"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-22T20:35:44Z","doi":"10.1109/dtpi52967.2021.9540118","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dtpi59677.2023.10365466","name":"FPGA-Based Digital Twin Implementation for Power Converter System Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi59677.2023.10365466","authors":["Justus Nwoke","Marco Milanesi","Jairo Viola","YangQuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-26T19:14:17Z","doi":"10.1109/dtpi59677.2023.10365466","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-031-08191-0_17","name":"(Digital) Patient Journey and Empowerment: Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08191-0_17","authors":["Dominik Böhler","Michael Friebe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-26T22:14:59Z","doi":"10.1007/978-3-031-08191-0_17","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.5197809","name":"Real-Time Digital Twin Analysis of Multi-Terminal Dc Grid for Zero-Emission Mining Haul Trucks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5197809","authors":["Chengzhang Lyu","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-29T02:38:54Z","doi":"10.2139/ssrn.5197809","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4848370","name":"Digital Twin of an Ev- Motor Drive for Performance Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4848370","authors":["Mahmoud Ibrahim","Viktor Rjabtšikov","Anton Rassõlkin","Toomas Vaimann","Ants Kallaste"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T11:05:17Z","doi":"10.2139/ssrn.4848370","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2118/216691-ms","name":"Advancing Energy Performance Monitoring of Large Compression Units Using a Thermodynamic Digital Twin","source":"crossref","abstract":"Abstract The compression units installed on the sales gas network encounter a diverse range of operating modes due to the fluctuating supply and demand conditions and the corresponding dynamics of the network. Determining the actual performance in such applications creates a significant challenge due to the variability of specific energy consumption. This paper introduces a new and reliable monitoring system that allows for real-time assessment of energy performance in dynamic compression. The system also identifies potential applications for energy conservation. The methodology involved a comprehensive examination of the design and original equipment manufacturer (OEM) data associated to the compression units. This was subsequently followed by an in-depth review of the operating envelope. Afterwards, a comprehensive thermodynamic model was developed for compression units that incorporates all operational modes. The model was then confirmed using real operational data by integrating the OEM's actual performance curves into the thermodynamic digital twin. In order to facilitate the monitoring of compressor performance when the thermodynamic digital twin is not available, an additional mathematical model has been developed alongside the existing thermodynamic model. This supplementary model allows operators to conduct off-line monitoring of the compressors. Conducting a comprehensive performance analysis of centrifugal compressors is imperative in order to accurately assess their operational status and efficiency. A decline in performance can serve as an indicator of internal wear or fouling, which, if left unaddressed, may lead to diminished throughput, increased energy consumption, or unexpected interruptions in operation. Hence, the performance metric encompasses not only energy consumption and operational expenses, but also encompasses critical factors such as reliability. The development of an integrated thermodynamic digital twin for large sales gas compression units, which possess a total throughput capacity exceeding 500 MMSCFD, has facilitated and exhibited efficient energy performance monitoring, even in the presence of varying operating scenarios. The tool enabled the immediate comparison between the actual performance, specifically the energy consumption, and the anticipated performance based on the model. Additionally, it facilitated immediate tracking of polytropic efficiency trends and provided a real-time visualization of potential opportunities for energy savings. The digital twin has demonstrated its efficacy as a cost-effective and dependable tool for real-time prediction of compressor performance across different operational modes. The information obtained from the compression digital twin can be integrated with process simulation models to enhance the optimization of the overall process. The model has the potential to enhance supervisory capabilities, diagnostics, control capabilities, and even aid in the prediction of failures in advance.","url":"https://doi.org/10.2118/216691-ms","authors":["Y. S. Alzaabi","S. S. Sajjad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-02T00:27:39Z","doi":"10.2118/216691-ms","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1061/9780784485262.055","name":"Review on Digital Twin Applications in Construction by Maturity Level","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485262.055","authors":["Jing Wen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-18T06:02:44Z","doi":"10.1061/9780784485262.055","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/j.dte.2024.100014","name":"Heterogeneous intensity-based DBSCAN (iDBSCAN) model for urban attention distribution in digital twin cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2024.100014","authors":["Yishuo Jiang","Qiwei Liu","Shuxuan Zhao","Tianhang Zhang","Xudong Fan","Ray Y. Zhong","George Q. Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-10T02:04:26Z","doi":"10.1016/j.dte.2024.100014","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-030-96802-1_5","name":"MTConnect and Digital Twin Applications and Future Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-96802-1_5","authors":["Fathi M. Sharadah","Shawki Al-Dubaee","George Weir"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-21T16:05:24Z","doi":"10.1007/978-3-030-96802-1_5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/j.dte.2026.100111","name":"Digital twin platform based on an identity-semantic-interaction framework to improve bridge management workflows","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2026.100111","authors":["M.A. Rico Thirion","S. Moghtadernejad","Y. Xu","Z. Lounis","Q. Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T23:13:18Z","doi":"10.1016/j.dte.2026.100111","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781032686691-3","name":"Integrating Crowdsourcing and Digital Twin Technologies for Smart Service Design and Servicing Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781032686691-3","authors":["Shengfeng Qin","Xiaojing Niu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-02T15:19:02Z","doi":"10.1201/9781032686691-3","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/j.ifacol.2025.09.011","name":"A Two-Layer Digital Twin for Implementing Simultaneous Resilience Strategies in Electronics Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2025.09.011","authors":["Phu Nguyen","Dmitry Ivanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-27T21:52:51Z","doi":"10.1016/j.ifacol.2025.09.011","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781003425724-47","name":"Developing a Construction Digital Twin for Bridges","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-47","authors":["Chunli Ying","Long Chen","Daguang Han","Kaixin Hu","Yu Zhang","Guoqian Ren","Yanhui Liu","Yongquan Dong","Yatong Yuan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-47","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1680/dtbe.65802.291","name":"Case studies: digital twin implementations at the building level","source":"crossref","abstract":"Following the implementation of digital twins at the system level, this chapter introduces the usage of the proposed digital twin architecture at the building level. A building is a collection of diverse systems that provide various services to its occupants. This chapter gives an overview of consistent realisation techniques across different systems used in the building digital twin, particularly in terms of data acquisition, transmission and management. Real-life buildings are used to showcase the implementation process and the lessons learnt from the cases.","url":"https://doi.org/10.1680/dtbe.65802.291","authors":["Nicola Moretti","Jorge Merino","Xiang Xie","Qiuchen Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-25T07:58:59Z","doi":"10.1680/dtbe.65802.291","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.18690/um.fov.4.2026.5","name":"Designing a Layered Learning Infrastructure with a Digital Twin Component","source":"crossref","abstract":"The increasing availability and complexity of data across professional domains require decision-makers to integrate diverse information in uncertain situations, highlighting the role of professional education in developing data-informed decision-making competence. While digital twins are widely used to model and optimise complex systems, their potential as pedagogically structured learning environments remains underexplored. This study presents the design of a layered learning infrastructure for data-informed decision-making, in which a digital twin functions as a component within a simulation-based learning environment. The study proposes a reconceptualisation of digital twins as components of learning processes. Drawing on multi-professional co-creation process in a smart agriculture context, the study suggests that pedagogical orchestration makes learners’ reasoning visible by supporting multi-source data integration, trade-off evaluation, and engagement with uncertainty. The paper contributes a design-oriented framework and argues that the educational value of digital twins depends on pedagogical orchestration that renders decision-making processes explicit and open to reflection.","url":"https://doi.org/10.18690/um.fov.4.2026.5","authors":["Satu Aksovaara","Hannu Haapala","Minna Silvennoinen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T10:27:23Z","doi":"10.18690/um.fov.4.2026.5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1002/cepa.2661","name":"I‐Twin. Computational twin connectors for I‐profiles. Towards unforeseen interoperability of digital tools","source":"crossref","abstract":"Abstract Standard BIM data‐exchange format requirements are permeating Building Construction. This is due to the increasing digital communication between Stakeholders of complex projects. All steps of development (conception, design, procurement, construction and operation) are pushing towards integration of data schemas. Desirably, knowledge and value generated by one stakeholder may then be leveraged by other stakeholders. 3D models, simulations, measurements, logbooks, schedules, as‐built conditions and other information constructs are on the verge of interoperable communication. Structural Analysis must play a significant role within those more digitized data exchanges. This paper presents recent developments of frameworks, connectors and tools for the integration of structural I‐shaped beam entities into Digital Twins. The information construct I‐Twin encompasses information loads for geometries (IFC‐Based), sensors (IoT) and simulations (FEM).","url":"https://doi.org/10.1002/cepa.2661","authors":["Hector Posada","Rolando Chacón","Carlos Ramonell"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-12T03:47:25Z","doi":"10.1002/cepa.2661","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4018/979-8-3373-2028-1.ch017","name":"Digital Twin Technology in Dental Care Advancing Precision and Patient Outcomes","source":"crossref","abstract":"This chapter discusses the applications of Digital Twin (DT) technology for dental care, to develop precision and patient-specific solutions for advancing dental care. Simulating and fine-tuning procedures for better outcomes are achievable through virtual replicas of patients' oral anatomy by incorporating data from IoT. Methodology This requires developing patient models using 3D imaging, IoT sensors, and big data analytics to simulate treatments such as orthodontic adjustments or implant placements. Key results indicate a 25% increase in the overall efficiency of diagnostics and a corresponding 15% saving in procedural time, with risks cut down by 10%. Specific case studies demonstrate its effectiveness in customized treatment, prosthetic design, and post-treatment follow-up. With minor setbacks in integrating data, cost, and implementation, it is revealed that digital twin technology is transforming dental care by giving better and more effective interventions in practice. This chapter is a resource guide for dental professionals and healthcare providers.","url":"https://doi.org/10.4018/979-8-3373-2028-1.ch017","authors":["Kaveri Shivaji Aher","Abid Salati","Swati Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-08T12:19:03Z","doi":"10.4018/979-8-3373-2028-1.ch017","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1038/s44333-026-00112-5","name":"REVI-twin: an integrated AI-driven methodology for creating digital twin of residential electric vehicle infrastructure","source":"openalex","abstract":"Integrating electric vehicles (EVs) into homes and the electrical grid creates complex dynamics that traditional planning tools struggle to address. Accurately estimating residential EV charging demand typically requires resource-intensive agent-based simulations reliant on substantial input data, limiting scalability. We present REVI-Twin, an AI-driven digital twin of residential EV infrastructure that scales without computationally-intensive simulations. It encompasses: ( i ) household-level EV ownership; ( i i ) user behavior and charging preferences; ( i i i ) hourly power consumption; and ( i v ) planned trips. Our framework performs two tasks: ( i ) predicts EV adoption using transfer learning, semi-supervised learning, and Bayesian optimization; ( i i ) synthesizes hourly consumption with active-learning multi-output Gaussian processes from < 1% of data. We also release a comprehensive hourly integrated residential energy dataset. Our case study indicates that each 1% of battery adoption reduces Virginia’s net imports by ~ 0.06% daily and ~ 0.08% during peak hours. REVI-Twin assists policymakers and planners in analyzing adoption and infrastructure needs for resilient electrification.","url":"https://doi.org/10.1038/s44333-026-00112-5","authors":["Aparna Kishore","Kazi Ashik Islam","Madhav Marathe"],"tags":["Electric vehicle","Limiting","Consumption (sociology)","Grid","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-02","doi":"10.1038/s44333-026-00112-5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.62517/jike.202604125","name":"Digital Twin for the Whole Life Cycle of Transportation Infrastructure: Digital Characterization Technology and Database Construction","source":"crossref","abstract":"Aiming at the core pain points in the whole life cycle management of transportation infrastructure, such as data silos, decision-making lag, and insufficient collaboration between models and data, this paper proposes a four-dimensional digital characterization system based on \"form-state-property-trend\". A standardized characterization data list and rule system covering multiple facility types including roads, bridges and tunnels, and running through the whole stages of planning, design, construction and operation &amp; maintenance is constructed. The multi-source heterogeneous data collaborative interconnection technology and distributed characterization database platform are innovatively developed, which break through the limitations of traditional data management modes and realize a new paradigm of digital management featuring \"digital-model linkage, spatio-temporal integration and full-cycle traceability\". By assigning weights and quantifying the completeness of characterization with an index system, core evaluation criteria are put forward, including the description integrity of not less than 95% and the business process coverage of not less than 90%, providing technical support for the high-quality construction of the digital twin base of transportation infrastructure. This technical system can effectively eliminate information barriers, improve the refinement level and decision-making efficiency of whole life cycle management, and provide an underlying technical paradigm for the digital transformation of smart city transportation.","url":"https://doi.org/10.62517/jike.202604125","authors":["Paiyong Zeng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-28T10:22:46Z","doi":"10.62517/jike.202604125","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/j.dsp.2026.106256","name":"Digital twin-enabled neural bandit learning for two-hop UAV relay selection over delay–doppler channels","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dsp.2026.106256","authors":["Ehab Mahmoud Mohamed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T07:12:26Z","doi":"10.1016/j.dsp.2026.106256","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1016/j.dte.2026.100104","name":"Digital Twin for building energy and thermal comfort management: A systematic review from an occupant-centric perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2026.100104","authors":["Naoneet Deo","Rodney A. Stewart","Fan Zhang","Mohammud Irfaan Peerun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T16:06:16Z","doi":"10.1016/j.dte.2026.100104","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1109/icc51166.2024.10622784","name":"Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622784","authors":["Yagmur Yigit","Ioannis Panitsas","Leandros Maglaras","Leandros Tassiulas","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T11:34:42Z","doi":"10.1109/icc51166.2024.10622784","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dtpi59677.2023.10365474","name":"The Data Domain Construction of Digital Twin Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi59677.2023.10365474","authors":["Danyang Chen","Cheng Zhou","Hongwei Yang","Mei Li","Lu Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-26T14:14:17Z","doi":"10.1109/dtpi59677.2023.10365474","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.63458/ijerst.v4i2.157","name":"CARDIO TWIN-H: AN AI-INTEGRATED REAL TIME CARDIOVASCULAR DIGITAL TWIN SYSTEM FOR PROACTIVE RISK REDICTION AND CLINICAL DECISION SUPPORT","source":"crossref","abstract":"Cardiovascular diseases are still the topmost killers of people all around the world, claiming approximately 17.9 million lives each year. Traditional tools to assess the risk of developing cardiovascular diseases, including the Framingham Risk Score, do not incorporate interactivity, explainability, and real-time simulative capabilities that would enable doctors to provide proactive and personalized care. In this work, we present CardioTwin-H, an AI-Integrated Real-Time Cardiovascular Digital Twin System with Hardware Sensor Integration. CardioTwin-H is a combination of a MAX30102 pulse oximetry and heart rate sensor connected to a Raspberry Pi 4 microcomputer and a machine learning-based platform. Data are streamed to a FastAPI backend server, where an ensemble of Random Forest, Gradient Boosting, and Logistic Regression algorithms calculates the cardiovascular risk score in real time. Reports based on the SHapley Additive Explanations framework are used to interpret data and provide clinically meaningful explanations. Finally, a scenario simulation engine allows for projecting the influence of clinical intervention on the predicted health state of patients. Overall, the system can be deployed at hardware costs of less than six thousand Indian Rupees.","url":"https://doi.org/10.63458/ijerst.v4i2.157","authors":["Murshid R","C.Akhila","V.Rameshbabu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T05:06:27Z","doi":"10.63458/ijerst.v4i2.157","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-030-96802-1_3","name":"Digital Twin-Driven Design for Product Control System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-96802-1_3","authors":["Bin He","Teng-Yu Li","Jing-Long Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-21T16:05:24Z","doi":"10.1007/978-3-030-96802-1_3","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1108/jeim-05-2024-0217","name":"The role of digital twin capabilities in digital service innovation deployment: a multiple case study approach","source":"crossref","abstract":"Purpose As industries increasingly integrate Digital Twins (DTs) into their operations and service offerings, it becomes crucial to understand the specific technological and organizational capabilities associated with DTs and their role in effective Digital Service Innovation (DSI). This paper aims to contribute to the literature on DSI-enabling factors by examining the role of DT capabilities in driving DSI within organizations, highlighting the areas of interconnection. Design/methodology/approach This study adopts a multiple case study approach, examining two organizations with different engagements with DTs: a consultancy engineering firm offering DT solutions, and a technology company specializing in DT services for different sectors. These diverse perspectives aim to provide a comprehensive understanding of the role of DTs in DSI in different organizational contexts. Findings The study identifies distinct capabilities needed to develop and exploit DTs, as well as new capabilities acquired by organizations through DTs deployment. It reveals that several technical and non-technical DT capabilities overlap with established DSI capabilities, illustrating a logical pathway from DT capabilities to DSI. These insights are synthesized into a theoretical framework which illustrates how DT capabilities support and enable DSI. Practical implications This research delineates critical DT capabilities and highlights which of these contribute to the effective deployment of DSI. These findings provide actionable strategies for organizations aiming to develop and strengthen DT capabilities to maximize their potential impact on DSI. Originality/value This paper expands beyond the prevalent technical and engineering emphasis in DT literature by adopting a holistic capabilities-based approach. It provides an in-depth examination of how DT capabilities can drive DSI, delivering valuable insights for both academia and industry practice.","url":"https://doi.org/10.1108/jeim-05-2024-0217","authors":["Carlos Galera Zarco","Nicola Moretti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-30T05:11:37Z","doi":"10.1108/jeim-05-2024-0217","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dtpi55838.2022.9998905","name":"Integrating Human Mobility and Infrastructure Design in Digital Twin to Improve Equity and Resilience of Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi55838.2022.9998905","authors":["Chao Fan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-03T21:53:57Z","doi":"10.1109/dtpi55838.2022.9998905","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4324/9781003036678-12","name":"Relevance of the digital twin of a product","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003036678-12","authors":["Götz G. Wehberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-08T08:05:21Z","doi":"10.4324/9781003036678-12","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2514/5.9781624105654.0151.0174","name":"Hopes, Dreams, and Challenges of Digital Nirvana: The State of the Art and the Art of the Possible in Digital Twin and Digital Thread","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624105654.0151.0174","authors":["Timothy D. West"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-08-14T18:50:29Z","doi":"10.2514/5.9781624105654.0151.0174","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4018/979-8-3373-8177-0.ch003","name":"Architecting Smart Hospitals","source":"crossref","abstract":"The speedy digital change of healthcare has led to the quick adoption of hospital facilities with smart infrastructures that are able to deliver services which are efficient, secure, and patient-centric. This chapter deals with how blockchain technology and digital twin intelligence work together as one integrated unit to constitute hospital ecosystems that are resilient, transparent, and interoperable. Digital twins, or virtual replicas of physical assets, clinical workflows, and patient pathways, provide the capacity for real-time monitoring, predictive analytics, and optimised resource management. Nevertheless, their performance is largely dependent on the integrity, privacy, and security of the data they use. In order to overcome these obstacles, blockchain offers a decentralized and tamper-resistant arrangement that is able to ensure secure data sharing, traceability, and trust management among stakeholders.","url":"https://doi.org/10.4018/979-8-3373-8177-0.ch003","authors":["Vikash Kumar Maurya","Sumit Kumar","Avanish Kumar Varma","Shrikant Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T15:14:42Z","doi":"10.4018/979-8-3373-8177-0.ch003","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.23967/membranes.2021.046","name":"Last witness and digital twin – physical and digital modelling the Munich Olympic Sports Hall – a case study","source":"crossref","abstract":"","url":"https://doi.org/10.23967/membranes.2021.046","authors":["B. Wenzel","E. Moeller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-29T16:41:19Z","doi":"10.23967/membranes.2021.046","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.18690/um.fov.4.2024.15","name":"Digital Public Service Improvement in Cross-Border Use Cases","source":"crossref","abstract":"This research identifies the main legal and technical barriers connected to identity management and cross-border service provision. We also propose a solution that fits in the current state of play. We analyzed the existing documentation and conducted semi-structured interviews with digital public service providers and use the Estonia as a case study to map the current obstacles. To resolve the cross-border interoperability issues that digital public services face, we explore the existing state of play for cross-border use cases through a process design and highlighting the requirements for cross-border interoperability infrastructure. As a result, we provide recommendations overcoming the barriers that affect cross-border digital public service delivery.","url":"https://doi.org/10.18690/um.fov.4.2024.15","authors":["Helen Raamat","Innar Liiv","Silvia Lips","Rozha Kamal Ahmed","Rahul Sharma","Dirk Draheim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.15","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00024-8","name":"Cloud computing for digital twin: empowering smart transportation cyber-physical system with deep reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00024-8","authors":["Usman Shuaibu Musa","Yifan Guo","Bharat Rawal","Wei Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00024-8","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/cisce58541.2023.10142669","name":"A study of digital twin-based digital derivation mechanisms for manufacturing companies","source":"openalex","abstract":"This paper starts from the endogenous causes of value creation of the digital twin of manufacturing enterprises and breaks down the composition and functions of the digital twin. Through the process linkage and collaboration of the digital twin, the 4.0 value chain architecture of manufacturing enterprises is dissected. On this basis, the endogenous driving mechanism of the supply chain and industrial chain derived from the 4.0 value chain of manufacturing enterprises is analysed using manufacturing big data, and the framework of the enterprise digital endogenous integration tower 3D process of manufacturing enterprises is proposed, and the nature and derivation mechanism of the supply chain of manufacturing enterprises based on the 4.0 value chain drive is analysed to systematise the formation mechanism and framing mode of the digital twin. The manufacturing enterprise industrial chain is the main body of the digital economy development and the fundamental research paradigm of the new theory of the newly created digital era, whose breakthrough and transformation is the basis for the future matching and optimisation of industrial core elements with industrial digital organisation and technological innovation resources. This is a newly innovative exploration of the digital knowledge system of manufacturing enterprises, which will have a profound impact on the construction of a digital enterprise industry chain with full perception, full connectivity, full scenario and full intelligence, boosting the development of the digital economy and building a new paradigm system of macro and micro interdisciplinary theories.","url":"https://doi.org/10.1109/cisce58541.2023.10142669","authors":["Feng Wang","Cao Zhe","Mingwei Sun","Zhe Cao"],"tags":["Digital manufacturing","Digital transformation","Manufacturing engineering","Supply chain","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-14","doi":"10.1109/cisce58541.2023.10142669","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"doi:10.1002/9781394383740.ch8","name":"AI and ML for Privacy‐Preserving Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch8","authors":["Raj Kishor Verma","Gaurav Agarwal","Nitin Pandey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch8","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-031-66719-0_9","name":"System Monitoring through a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-66719-0_9","authors":["Mirgita Frasheri","Panagiotis Katsaros","Alexandros Iosifidis","Simon Thrane Hansen","Cláudio Gomes","Valdemar Tang","Peter Gorm Larsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-24T12:02:30Z","doi":"10.1007/978-3-031-66719-0_9","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/aeeca62331.2024.00020","name":"Construction of a New Digital Grid Standard System for Power Systems Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aeeca62331.2024.00020","authors":["Jiagen Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-04T18:39:10Z","doi":"10.1109/aeeca62331.2024.00020","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4018/979-8-3373-1534-8.ch015","name":"Application of Digital Twin Technology for Building Sustainable Strategic Business Models in Healthcare","source":"crossref","abstract":"Digital Twin (DT) technology revolutionises personalised healthcare by creating virtual patient replicas for real-time monitoring, predictive modelling, and tailored treatment planning. This chapter examines the current applications of digital twins in healthcare, emphasising their potential to improve clinical outcomes and reduce costs through precision medicine. Key uses include managing chronic diseases, integrating multi-omics data and medical imaging to customise treatment strategies in personalised cancer care and surgical planning, allowing for the rehearsal of complex procedures and custom implant design. Despite its promise, adopting DTs in healthcare faces challenges, particularly in data privacy, model accuracy, and integrating diverse data sources. Ensuring model reliability and addressing ethical concerns about patient data are essential for widespread adoption. This chapter highlights the need for ongoing research and development to overcome these challenges and fully leverage the potential of DTs in transforming personalised healthcare.","url":"https://doi.org/10.4018/979-8-3373-1534-8.ch015","authors":["Eleni Tsianaka","Konstantinos Peramatzis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-03T14:04:44Z","doi":"10.4018/979-8-3373-1534-8.ch015","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dtpi55838.2022.9998903","name":"Parallel Control Strategy for Flexible Operation of Ultra-supercritical Units Under Digital Twin Theory","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi55838.2022.9998903","authors":["Ting Huang","Guolian Hou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-03T21:53:57Z","doi":"10.1109/dtpi55838.2022.9998903","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2991/aebmr.k.200423.004","name":"Creating a Digital Twin to the Online Promotion Process for Small Businesses","source":"crossref","abstract":"","url":"https://doi.org/10.2991/aebmr.k.200423.004","authors":["N. E. Lugert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-05T06:15:43Z","doi":"10.2991/aebmr.k.200423.004","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/dapic66097.2025.00103","name":"Construction of High-Precision Digital Twin Model and Real-Time Data Fusion Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dapic66097.2025.00103","authors":["Yetong Wang","Bing Zheng","Kongduo Xing"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-16T13:41:28Z","doi":"10.1109/dapic66097.2025.00103","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.58532/nbennurapdt5","name":"REAL-TIME DIGITAL TWIN FRAMEWORKS FOR SUSTAINABLE AND RESILIENT URBAN SYSTEMS","source":"crossref","abstract":"Global cities are undergoing unprecedented challenges due to the increasing demands of a growing population, climatic variations, strains on infrastructure and growing demands to be more sustainable and transparent. The static-based traditional methods in urban planning which use episodic measurements are no longer adequate to deal with the dynamic nature of the contemporary urban frameworks. Artificial Intelligence (AI) provides a radical direction to follow because it allows cities to constantly sense, analyze, predict, and optimize key functions in mobility, energy, environment, utilities, and governance. In this chapter, the author discusses in detail the application of AI-driven analytics and optimization engines to support urban intelligence in sustainable planning. It discusses the acquisition of multi-source data using IoT, satellite imagery and urban sensor networks; predictive modeling to solve congestion issues, environmental forecasting and balancing energy demand; and decision-support systems that are optimized to enhance the efficiency and ecological sustainability of operations. Layers of architecture, starting with perception and data integration and going down to cognitive intelligence and application domains are elaborated. The most important enabling technologies include digital twins, reinforcement learning, geospatial AI, and real-time simulation platforms. Some of the most vital issues covering privacy, data governance, cybersecurity, and interoperability are also discussed in the chapter. The practice of the smart city shows that AI-enhanced urban ecosystems have potential to transform the world and the future path of the smart cities is to be AI-enabled to count carbon energy, autonomous urban system, and responsible policy intelligence.","url":"https://doi.org/10.58532/nbennurapdt5","authors":["Dr. Ginavanee A"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T07:31:11Z","doi":"10.58532/nbennurapdt5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781003507390-20","name":"Enabling Blockchain in Digital Twins for Decentralized Supply Chain Traceability and Crop Growth Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-20","authors":["Raj Y Naveen","G Sudha","J. Jayanthi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-20","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781003498117-10","name":"Integration of AI and IoT in digital twins for personalized healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-10","authors":["D. Jeya Mala","A. Pradeep Reynold","M.J. Siva Adithya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-10","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/b978-0-443-27388-9.00012-x","name":"AI-driven digital twin for sustainable management of wave energy conversion systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-27388-9.00012-x","authors":["Zaharaddeen Karami Lawal","Hayati Yassin","Rufai Yusuf Zakari","Azam Che Idris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T09:52:36Z","doi":"10.1016/b978-0-443-27388-9.00012-x","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-031-73679-7_5","name":"Employing Federated Learning for the Implication of Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-73679-7_5","authors":["Fakhreldin Saeed","Momina Shaheen","Tariq Umer","Muhammad S. Farooq"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-10T17:27:36Z","doi":"10.1007/978-3-031-73679-7_5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4108/eai.15-9-2023.2340892","name":"A Temperature and Humidity Control System based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.4108/eai.15-9-2023.2340892","authors":["Zhilei Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-17T09:33:06Z","doi":"10.4108/eai.15-9-2023.2340892","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1515/9783111327853-007","name":"Chapter 7 Big Data analytics in healthcare system: A systematic review approach","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-007","authors":["Gururaj Mukarambi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-007","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/979-8-8688-0811-1_6","name":"A Digital Twinning Process for Metaverse Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-0811-1_6","authors":["Xiangming Samuel Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-31T09:03:11Z","doi":"10.1007/979-8-8688-0811-1_6","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/smartindustrycon65166.2025.10986254","name":"The Phenomenon of Digital Mediation: The Perceptual Landscape Mediated by the Writer's Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon65166.2025.10986254","authors":["Nataliya V. Khalina","Nadezhda N. Pivkina","Svetlana V. Ostapenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T17:56:01Z","doi":"10.1109/smartindustrycon65166.2025.10986254","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.70114/acmsr.2024.1.1.p261","name":"Research on the Construction Technology of INS Digital Prototype Based on Digital Twin","source":"crossref","abstract":"In response to the continuous advancement of digitalization and intelligence in equipment as mandated by the state, a digital twin-based inertial navigation digital prototype construction scheme has been designed. This scheme supports the realization of intelligent manufacturing, testing, evaluation, and operational assurance throughout the lifecycle of inertial navigation products. This paper decomposes the physical entities of the \" three-autonomy \" SINS and integrates component-level inertial navigation digital prototypes based on the principles of inertial navigation. The prototypes were integrated using heterogeneous models in simulation software. Pure navigation functionality verification was conducted on the prototypes. The results show that the errors in pure simulation of the inertial navigation digital prototypes constructed in this study are consistent with the physical navigation results of inertial navigation systems, providing a reference for the development of inertial navigation digital twin systems.","url":"https://doi.org/10.70114/acmsr.2024.1.1.p261","authors":["Wenhui Meng","Tingjun Wang","Aiqi Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-14T09:05:53Z","doi":"10.70114/acmsr.2024.1.1.p261","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1002/9781394303601.ch18","name":"Artificial Intelligence‐Based Cyber Security and Digital Forensics","source":"crossref","abstract":"Today cyber threats are becoming more sophisticated and technology is advancing at a rapid pace, new approaches to cybersecurity and digital forensics are required. Artificial intelligence (AI) has surfaced as a potential game-changer in the fight against these challenges. This article aims to provide a comprehensive overview of the role that artificial intelligence plays in cybersecurity and digital forensics. By radically improving threat identification, mitigation, and incident response, technologies powered by artificial intelligence are reshaping cybersecurity. Machine learning and deep learning are some of the approaches being used to sift through massive amounts of data, spot anomalies, and predict when security breaches may occur. In addition, AI-powered solutions are making cybersecurity systems more flexible, which opens the door to proactive defensive mechanisms and real-time threat intelligence. The field of digital forensics is seeing heavy use of artificial intelligence (AI) to speed up investigations and locate digital evidence. Automating the examination of digital artifacts is becoming a reality with the use of artificial intelligence methods like pattern recognition, image identification, and natural language processing. This allows for more efficient and effective investigations. Furthermore, AI-driven instruments are assisting with the restoration of digital crime scenes and the attribution of hack perpetrators. With an emphasis on highlighting the capabilities and limitations of these domains, this book discusses cybersecurity and digital forensics that are based on artificial intelligence. In addition to outlining research directions, new trends, and challenges, the article delves into the ethical and legal issues associated with AI in different industries. To sum up, AI is revolutionizing cybersecurity and digital forensics by laying the groundwork for more robust and proactive protection mechanisms and more efficient and accurate digital investigations.","url":"https://doi.org/10.1002/9781394303601.ch18","authors":["Amit Kumar Tyagi","Shabanm Kumari","Richa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-13T21:20:12Z","doi":"10.1002/9781394303601.ch18","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.23977/ieim.2024.070210","name":"A Factory Management System Based on Digital Twin Platform and Methodology","source":"crossref","abstract":"","url":"https://doi.org/10.23977/ieim.2024.070210","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-21T02:37:11Z","doi":"10.23977/ieim.2024.070210","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.3897/aca.8.e152714","name":"Studying spatiotemporal phenology in Wadden Sea using a digital twin approach","source":"crossref","abstract":"Phenology, the study of the timing of recurring biological phases, exhibits significant variability across temporal and spatial dimensions due to its strong dependence on weather variability. Consequently, phenological processes are often regarded as sentinels for climate change impacts. Coastal ecosystems are at the frontline of sea level rise and other climate change pressures. Understanding variability of phenological processes within these ecosystems is crucial for assessing the climate change impacts. Identifying phenoregions (regions with similar phenology) can aid governments in effective management and planning. The European Long Term Ecological Research (eLTER) network provides a platform for collecting long-term field measurements across various EU countries, which are essential for identifying temporal dynamic patterns. A major challenge in phenological modeling is the computational intensity and large data size when working at extensive spatial scales and with high-resolution temporal and spatial grids of explanatory variables (e.g. weather and remotely sensed data). Emerging digital research infrastructures, such as LTER-LIFE, show potential in addressing these computationally intensive tasks. Workflows can be constructed in a cloud-based platform that surpass local computer capacities, and approaches such as parallelization can speed up the computation process. A scientific use case will illustrate how this infrastructure enhances the processing of remote sensing data to study of temporal and spatial dynamics of primary productivity within Wadden Sea. By presenting our ideas and first results, we invite ecologists associated with eLTER sites to utilize the eLTER Science Conference in Finland to kickoff a joint determination of the climate-driven spatial and temporal variability of phenoregions.","url":"https://doi.org/10.3897/aca.8.e152714","authors":["Qing Zhan","Katja Philippart"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-28T12:00:42Z","doi":"10.3897/aca.8.e152714","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4712901","name":"A Comprehensive Review of Digital Twin Technology: Applications and Innovations in Solar Energy Systems","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4712901","authors":["Mohammed Al-Azba","Ahmed Abotaleb","Mohamed Mahgoub"],"tags":["Solar energy","Engineering physics","Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"10.2139/ssrn.4712901","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4766027","name":"Urban Digital Twin-Based Solution Using  Geospatial Information for Solid Waste Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4766027","authors":["Iván Cárdenas-León","Mila Koeva","Pirouz Nourian","Calayde Davey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-20T09:18:09Z","doi":"10.2139/ssrn.4766027","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.3944684","name":"Design and Implementation of a Self-Cleaning Heat Exchanger Using a Digital Twin","source":"crossref","abstract":"Fouling can be reduced by careful design or surface treatment; however, regular manual cleaning is often still required. In this study, a self-cleaning heat exchanger system to automatically identify and remove fouling was designed. The Self-cleaning system was designed to operate automatically without human input and use a backwash of water through the heat exchanger tubes to clean them. A digital twin (DT) is utilised with a model of the performance of the heat exchanger; this is the first known research where a DT is used to control a self-cleaning (or self-engineering) response. The steps used to develop the DT are described, and the logic used to determine when to trigger self-cleaning. Temperature readings are compared to the DT model to determine when heat transfer is impeded by fouling. Tests performed with fouling added successful demonstrated the DT and self-cleaning. The effectiveness of the heat exchanger before fouling, with fouling and after cleaning was used to determine the effectiveness of the self-cleaning. The original performance returned by cleaning varied with 15%, 81% and 52% returned in each experiment.","url":"https://doi.org/10.2139/ssrn.3944684","authors":["Samuel Brooks","Ayman Yasin","Kazeem Alatishe","Rajkumar Roy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-21T03:43:01Z","doi":"10.2139/ssrn.3944684","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.51202/9783181024201-165","name":"Demonstration of a Cloud-based Gearbox Digital Twin – Using telematics data for reliability predictions","source":"crossref","abstract":"","url":"https://doi.org/10.51202/9783181024201-165","authors":["B. James"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-06T03:39:40Z","doi":"10.51202/9783181024201-165","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/smartindustrycon68821.2026.11493062","name":"Digital Twin for Neural Network Training","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon68821.2026.11493062","authors":["Vladislav Grechushnikov","Nguyen Trung Hieu","Alexander Shilin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T19:47:39Z","doi":"10.1109/smartindustrycon68821.2026.11493062","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/b978-0-323-99330-2.00008-8","name":"Event-based digital-twin model for emergency management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-99330-2.00008-8","authors":["Rabia Arslan","Mehmet Akşit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-21T07:04:10Z","doi":"10.1016/b978-0-323-99330-2.00008-8","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.31274/td-20260804-26","name":"Development of a digital twin framework empowered by interpretable artificial intelligence and data science for civil infrastructure subject to natural hazards","source":"crossref","abstract":"","url":"https://doi.org/10.31274/td-20260804-26","authors":["Dima Abuoliem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-04T21:32:39Z","doi":"10.31274/td-20260804-26","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.6141747","name":"Mechanics-aware digital twin for efficient condition assessment and proactive management of deteriorated pipelines","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6141747","authors":["Zhan Jiang","Seyed  Amirhossein Moghaddas","Yi Bao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-27T23:36:45Z","doi":"10.2139/ssrn.6141747","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4450032","name":"A Digital Twin-Based Fault Diagnostic Method for Subsea Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4450032","authors":["Haohan Tao","Xiangyu Wang","Peng Jia","Gang Wang","Liquan Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T14:17:52Z","doi":"10.2139/ssrn.4450032","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00002-5","name":"Cloud and IoT technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00002-5","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:48Z","doi":"10.1016/b978-0-12-821631-6.00002-5","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/balkancom58402.2023.10167901","name":"An Overview of Digital Twin Applications on Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1109/balkancom58402.2023.10167901","authors":["Manolya Atalay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-03T17:52:29Z","doi":"10.1109/balkancom58402.2023.10167901","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1038/s43588-025-00859-w","name":"A digital twin that interprets and refines chemical mechanisms","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s43588-025-00859-w","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-01T16:02:32Z","doi":"10.1038/s43588-025-00859-w","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.35376/10324/69488","name":"A non-intrusive and adaptive Digital Twin as enabling learning ecosystem for the development of predictive models in manufacturing environments","source":"crossref","abstract":"","url":"https://doi.org/10.35376/10324/69488","authors":["Álvaro García García"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-29T20:27:56Z","doi":"10.35376/10324/69488","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/tnsm.2026.3665033/mm1","name":"Dynamic Migration in Digital Twin-Enabled Industrial Internet: A Stochastic Network Calculus Approach_supp1-3665033.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tnsm.2026.3665033/mm1","authors":["Fei Shang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-18T21:18:43Z","doi":"10.1109/tnsm.2026.3665033/mm1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/wsc68292.2025.11339126","name":"Data-Driven Digital Twin for the Predictive Maintenance of Business Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11339126","authors":["Paolo Bocciarelli","Andrea D'Ambrogio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11339126","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.5194/egusphere-egu26-1994","name":"DT-Agro, a digital twin of the Greek AgroHydroSystem, development and testing","source":"crossref","abstract":"Developing operational Digital Twins for large-scale agro-hydrological systems presents significant challenges regarding data heterogeneity, computational efficiency, and the integration of Earth Observation (EO) with process-based modeling. This study presents the development and initial testing of DT-Agro, a spatially explicit Digital Twin of the Greek agro-hydro-system, designed to support sustainable water management and agricultural planning at the national scale.DT-Agro integrates a high-resolution spatial database, a hybrid meteorological forcing scheme, and a distributed agro-hydrological model (AgroHydroLogos) recoded in C++ and Python for enhanced performance. A key innovation in the process simulation is the development of a novel, impervious-aware SCS-CN formulation. Unlike traditional lumped approaches, this method explicitly decomposes each grid cell into pervious and impervious fractions using high-resolution Copernicus Imperviousness Density data. This allows for a physically consistent representation of runoff generation in mixed landscapes, capturing the hydraulic response of small impervious patches that are often lost in standard gridded models.Furthermore, to address the chronic fragmentation of ground-based monitoring networks, the system introduces a \"virtual station\" meteorological framework. Recognizing that raw global reanalysis products (e.g., AgERA5) often exhibit significant biases in Greece’s complex terrain, we developed a hybrid correction workflow. AgERA5 time series are sampled at the locations of historical stations and bias-corrected using station-specific regressions. This creates a network of \"virtual stations\" that provide continuous, homogenized daily records, filling temporal gaps while preserving local climatological characteristics. These records drive a dynamic spatial interpolation scheme that accounts for temperature and precipitation gradients, ensuring physically consistent meteorological forcing across the national domain.We present results from the initial national-scale application of the system. The testing phase focused on quantifying irrigation water abstractions and their spatial-temporal drivers. Initial simulations estimate the long-term average national irrigation abstraction at approximately 6,600 hm³/year, with significant inter-annual variability (6,000–7,800 hm³) driven by climatic conditions. Validation against theoretical net irrigation requirements for major crops (maize, cotton, alfalfa) yielded consistent depths (380–420 mm), confirming the biophysical realism of the model core. These results demonstrate DT-Agro’s capability to provide a robust, evolving representation of the Greek agro-hydro-system for climate adaptation planning.","url":"https://doi.org/10.5194/egusphere-egu26-1994","authors":["Stergia Palli Gravani","Konstantinos Soulis","Xenofon Soulis","Dionissios Kalivas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T19:50:41Z","doi":"10.5194/egusphere-egu26-1994","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.14733/cadconfp.2023.286-291","name":"STEP-based Digital Twin Model Construction for Assembly","source":"crossref","abstract":"","url":"https://doi.org/10.14733/cadconfp.2023.286-291","authors":["Yazui Liu","Haodong Shen","Xishuang Jing","Gang Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-19T17:36:41Z","doi":"10.14733/cadconfp.2023.286-291","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4622981","name":"Managing a QoS-Enabled Bluetooth Mesh Network Using a Digital Twin Network: An Experimental Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4622981","authors":["Jorg Wieme","Mathias Baert","Jeroen Hoebeke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-10T03:06:55Z","doi":"10.2139/ssrn.4622981","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1080/27525783.2023.12519276","name":"REVISED Construction method of high-horsepower tractor digital twin\n         \t\t\t[version 2; peer review: 3 approved, 2 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519276","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:58:04Z","doi":"10.1080/27525783.2023.12519276","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.6993642","name":"Digital Twin Capability Realization in Industry: A Classification Framework for Technology Evaluation and Implementation Governance","source":"crossref","abstract":"Digital twins (DTs) are increasingly promoted as strategic technologies for improving visibility, prediction, and decision-making in industrial organizations. However, systems labeled as DTs vary substantially in implemented capabilities, creating ambiguity for researchers and industry leaders. This study develops and applies a capability-based classification framework for assessing DT implementation alignment in industry. The framework is applied using mixed-methods survey evidence from 33 industry professionals involved in DT development, deployment, or implementation. Only 40% reported all four capabilities, indicating that many systems labeled as DTs are partial implementations relative to the benchmark definition. Reported challenges are also identified.","url":"https://doi.org/10.2139/ssrn.6993642","authors":["Sheri Leder","Ana Wooley","Russ Meller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T02:37:09Z","doi":"10.2139/ssrn.6993642","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4781837","name":"Digital Twin Based Framework to Design, Commission, and Operate Human-Robot Collaborative Assembly Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4781837","authors":["Ali Ahmad Malik","Tariq Masood","Alexander Brem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-02T17:18:06Z","doi":"10.2139/ssrn.4781837","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.6477797","name":"An Operational Open-Data Digital Twin for Power Systems: Hybrid Forecasting, Data Quality Integration, and Real-Time Bidirectional Feedback","source":"crossref","abstract":"The increasing penetration of variable renewable energy (VRE) in Europe has intensified the need for transparent and reproducible tools capable of real-time system assessment. Existing digital twins (DTs) for power systems typically rely on proprietary SCADA or PMU data, limiting openness and cross-country comparability. This study presents, to our knowledge, the first fully open-data, bidirectional digital twin framework for the German power system built exclusively from ENTSO-E Transparency Platform data.The framework integrates five components: (i) automated real-time data ingestion via a 15-minute orchestration pipeline; (ii) a Data Twin Quality Index (DTQI) that quantifies missingness (w1 = 0.7), flatline anomalies (w2 = 0.2), and high-frequency jitter (w3 = 0.1); (iii) a hybrid forecasting engine combining LightGBM with a physics-consistent net-load constraint; (iv) a stress scenario simulation module; and (v) a bidirectional feedback loop implemented via a workflow orchestration system (n8n), enabling automated monitoring, alarm generation, and decision support.Empirical analysis identifies a major structural anomaly in ENTSO-E Wind Onshore data—over 105,000 flatline intervals at approximately 25 MW—indicating placeholder reporting. Hybrid forecasting achieves 97.4 MW MAE on 2024 out-of-sample data (15-minute-ahead horizon), representing a 97.5% improvement over a seasonal naive baseline and a 68.9% improvement over the best ML-only model. A sensitivity analysis across multiple DTQI weight configurations confirms the robustness of the quality-weighted physics blending (DTQI = 0.3116). Scenario experiments reveal nonlinear stress amplification, with combined wind-outage, solar-collapse, and load-surge events producing peak ΔLoad values exceeding +22 GW.These results demonstrate that an operational digital twin built entirely on open data can provide robust forecasting performance and actionable insights for real-time system monitoring, stress detection, and decision support, bridging the gap between academic modelling and practical power system operation.","url":"https://doi.org/10.2139/ssrn.6477797","authors":["Esra Kumaş"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T10:18:41Z","doi":"10.2139/ssrn.6477797","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1111/beer.12698/v3/review2","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v3/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v3/review2","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.47118/somatbd.1836379","name":"DIGITAL TWIN TECHNOLOGY FOR SMART URBAN WASTE MANAGEMENT","source":"crossref","abstract":"Rapid urbanization and population growth have escalated municipal solid waste (MSW) challenges, rendering traditional, reactive management systems inefficient and environmentally unsustainable. Digital Twin (DT) technology—dynamic virtual replicas of physical systems—offers a transformative solution for real-time monitoring and simulation, yet its application in MSW management remains nascent. This study proposes a comprehensive conceptual framework for integrating DT technology into municipal waste operations to enhance efficiency and sustainability. The methodology outlines a four-layer architecture integrating IoT sensors, AI-driven predictive modeling, and simulation tools to optimize the entire waste lifecycle. The proposed framework facilitates optimized routing, predictive maintenance, and energy analysis. The results suggest that implementing this model can significantly lower operational costs, mitigate greenhouse gas emissions, and support circular economy principles by enabling scenario testing and data-driven decision-making. Despite existing technical and economic barriers, the study concludes that DTs provide a vital pathway toward resilient, smart urban waste systems and recommends future real-world pilot studies to validate quantitative environmental and economic benefits.","url":"https://doi.org/10.47118/somatbd.1836379","authors":["Mehmet Çevik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-31T09:30:14Z","doi":"10.47118/somatbd.1836379","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.47941/jts.2143","name":"Digital Twin Technology for Smart Manufacturing","source":"crossref","abstract":"Purpose: The general objective of this study was to explore digital twin technology for smart manufacturing. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to digital twin technology for smart manufacturing. Preliminary empirical review revealed that digital twin technology significantly transformed smart manufacturing by providing real-time monitoring, simulation, and optimization of manufacturing processes. This advancement enhanced operational efficiency, decision-making, and product quality, while reducing downtime and operational costs. However, challenges such as high implementation costs, integration complexity, and the need for skilled personnel were identified. Despite these issues, the benefits of digital twins, including improved resource management and proactive maintenance, were deemed to outweigh the difficulties, positioning digital twins as a crucial component of Industry 4.0 and smart manufacturing advancements. Unique Contribution to Theory, Practice and Policy: The Systems Theory, Cyber- Physical Systems Theory and the Simulation Theory may be used to anchor future studies on digital twin technology for smart manufacturing. The study recommended several measures to maximize the benefits of digital twin technology. It suggested developing standardized protocols to ensure interoperability, investing in robust data analytics infrastructure to handle the extensive data generated, and addressing high implementation costs through phased approaches and partnerships. Additionally, it emphasized the importance of enhancing skills and training for managing digital twins, advancing cybersecurity measures to protect sensitive information, and promoting supportive policies and regulations to facilitate technology adoption and innovation in smart manufacturing.","url":"https://doi.org/10.47941/jts.2143","authors":["James Methuselah James Methuselah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T16:14:18Z","doi":"10.47941/jts.2143","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.7235423","name":"Generative AI &amp; Digital Twin Integrated Implicit Intellectual 3D Attire Formation CAD System","source":"crossref","abstract":"Fashion design is a complex and highly specialized domain requiring expertise in aesthetics, structural engineering, and material behavior. Traditional apparel design workflows encounter significant operational bottlenecks, including prolonged prototyping cycles, elevated sample production costs, and inefficient workflow iterations. To overcome these limitations, this paper presents a novel Computer-Aided Design (CAD) system architecture integrated with Generative AI, Digital Twin technology, and an implicit intellectual 3D virtual garment modeling engine. The system leverages virtualization technology to transform structural clothing components into high-fidelity 3D geometric models, rendered through an interactive 3D spatial interface that enables real-time dynamic parametric adjustments. Incorporating intelligent deep learning algorithms—specifically optimized Feedforward Neural Networks and physics-informed structural estimation modules—the system automatically computes critical manufacturing parameters, including precise garment sizing, dynamic fabric draping mechanics, anisotropic material tensile tension, and structural seam stress. Furthermore, the CAD engine provides automated 2D pattern flattening, interactive virtual try-on, and direct additive manufacturing (3D printing) G-code/STL generation. Experimental validation demonstrates significant operational superiority: the proposed Feedforward Neural Network achieved an ultra-fast average 3D garment synthesis latency of 20.7 ms (outperforming CNN at 22.6 ms and Decision Trees at 28.8 ms). In empirical user satisfaction evaluations across 40 professional designers and multi-tier age demographics, over 72.5% rated the system's intelligent layout recommendation, real-time rendering response, and dynamic parametric customization at high satisfaction levels (3 stars and above). This implicit intellectual CAD framework provides a scalable foundation for next-generation, sustainable, automated, and personalized apparel design.","url":"https://doi.org/10.2139/ssrn.7235423","authors":["D.  Veerabhadra Babu","Bhupendra Verma","Dr.  Parmalik Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-06T08:30:47Z","doi":"10.2139/ssrn.7235423","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.20944/preprints202311.0041.v1","name":"Intelligent Feedrate Optimization using an Uncertainty-aware Digital Twin within a Model Predictive Control Framework","source":"crossref","abstract":"The future of intelligent manufacturing machines involves autonomous selection of process parameters to maximize productivity while maintaining quality within specified constraints. To effectively optimize process parameters, these machines need to adapt to existing uncertainties in the physical system. This paper proposes a novel framework and methodology for feedrate optimization that is based on a physics-informed data-driven digital twin with quantified uncertainty. The servo dynamics are modeled using a digital twin, which incorporates the known uncertainty in the physics-based models and predicts the distribution of contour error using a data-driven model that learns the unknown uncertainty on-the-fly by sensor measurements. Using the quantified uncertainty, the proposed feedrate optimization maximizes productivity while maintaining quality under desired servo error constraints and stringency (i.e., the tolerance for constraint violation under uncertainty) using a model predictive control framework. Experimental results obtained using a 3-axis desktop CNC machine tool and a desktop 3D printer demonstrate significant cycle time reductions of up to 38% and 17 respectively, while staying close to the error tolerances compared to the existing methods.","url":"https://doi.org/10.20944/preprints202311.0041.v1","authors":["Heejin Kim","Raed Kontar","Chinedum Okwudire"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-02T03:56:20Z","doi":"10.20944/preprints202311.0041.v1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.14733/cadconfp.2017.342-346","name":"Towards an Extended Model-based Definition for the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.14733/cadconfp.2017.342-346","authors":["Alexander Miller","Ramon Alvarez","Nathan Hartman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2017-06-22T11:42:48Z","doi":"10.14733/cadconfp.2017.342-346","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1021/acsestwater.5c01515.s001","name":"From Field Data to Smart Operations: A Digital Twin Framework for Water Distribution Systems in Remote Communities","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsestwater.5c01515.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T09:41:36Z","doi":"10.1021/acsestwater.5c01515.s001","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4252611","name":"A Geometrical Digital Twin Generator for the Detailed Structural Analysis of Our Existing Masonry Infrastructure Stock: Image2DEM","source":"crossref","abstract":"Assessing the structural performance of ageing masonry infrastructure is a complex task. Geometric changes and existing damage in masonry structures can greatly influence their rate of degradation and in-service mechanical response. Therefore, identifying approaches to assess the “as is” structural condition of these assets is vital. In the last ten years, advances in laser scanning and photogrammetry have started to drastically change the building industry since such techniques are able to capture rapidly and remotely digital records of objects and features in points cloud and image format. However, the direct and automatic exploitation of images for use as geometry in high fidelity models for structural analysis is limited. In this framework, the aim of this paper is to present the development of a software able to fully automate the “scan to structural modelling” procedure for the efficient and accurate structural assessment of ageing masonry infrastructure. The “Image2DEM” is based on Python libraries with graphical interface. The images can be captured from DSLR cameras, smartphones or drones. The image selected is then imported to the program to detect and extract the masonry micro-geometry. The algorithm provides reliable detection using Artificial Intelligence. Convolutional Neural Networks (CNN) are used to identify the location of masonry units and cracks, with ~96% and ~80% accuracy, respectively. The geometry is extracted in the form of simplified lines to improve efficiency and reduce computational effort. The output is provided in DXF format for compatibility between different programs. Finally, the geometry extracted is converted to a numerical model for structural analysis. The proposed software has the potential to revolutionise the way we assess existing masonry infrastructure in the future.","url":"https://doi.org/10.2139/ssrn.4252611","authors":["Dimitris Loverdos","Vasilis Sarhosis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-26T15:34:22Z","doi":"10.2139/ssrn.4252611","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.7180129","name":"Towards a Digital Twin for Healthier Indoor Environments Using Cellular Discrete Event Specification and Genetic Algorithms","source":"crossref","abstract":"Experts use modeling and simulation to aid decision making to improve air quality, particularly during airborne virus outbreaks, when carbon dioxide levels can indicate infection risk. This manuscript provides a novel Digital Twin framework that uses physical space properties and Internet of Things data to create carbon dioxide dispersion models of closed spaces. The framework combines simulation models with genetic algorithms to identify optimal indoor settings for healthier environments. First, the framework creates a conceptual model representing the physical space and its key properties. Next, we develop a Cellular Discrete Event Simulation model that includes space dimensions, carbon dioxide sinks and sources, impermeable structures, breathing occupants’ data, and carbon dioxide dispersion logic. We then simulate the model and validate it against real data. We integrate genetic algorithms with our simulation engine to iteratively refine the validated simulation model and converge towards a simulation scenario representing optimal indoor settings for healthier air. The resulting model can be used to modify the real physical space to enhance air quality. Our framework and the use of genetic algorithms for indoor air quality optimization are novel contributions to the field. We use two case studies to demonstrate the framework&amp;apos;s effectiveness, showing how the framework recommendations can be applied to physical spaces while avoiding costly and unattainable experimentation.","url":"https://doi.org/10.2139/ssrn.7180129","authors":["Hoda  A. Khalil","Gabriel Wainer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T09:59:08Z","doi":"10.2139/ssrn.7180129","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1088/1402-4896/ae7edc/v3/review1","name":"Review for \"Dynamic Thermo-Opto-Electro Digital Twin Framework for Robustness-Aware Design and Limit Analysis of CZTSSe Thin-Film Solar Cells\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1402-4896/ae7edc/v3/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T21:09:36Z","doi":"10.1088/1402-4896/ae7edc/v3/review1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.21203/rs.3.rs-1265753/v1","name":"Mixed reality-based digital twin implementation approach for flexible manufacturing system design","source":"preprints","abstract":"Abstract Digital twin (DT) technology is essentially the equivalent mapping of the physical world in the digital space, and is therefore also considered to be a central technology to realize cyber-physical systems (CPS). Traditional DT implementations suffer from data diversity and lack of efficient visual human-machine interface while mixed reality (MR) technology provides a new possibility due to its powerful immersion and interactivity. In this paper, we propose an MR-based DT implementation approach for the flexible manufacturing system (FMS) design. Discrete event simulation model and mixed reality scene are applied to enable multiple users to collaboratively evaluate and optimize design schemes in a dynamic simulation way and an immersive and interactive environment respectively. In this approach, an improved particle swarm optimization algorithm is used to solve the facility layout problem which is one of the core problems of FMS design. Furthermore, the DT created in the design stage, which is a virtual representation of the physical FMS, can be extended to the whole FMS lifecycle, including the manufacturing and service stages. A case study of application on a real FMS is presented to illustrate the advantage of this approach.","url":"https://doi.org/10.21203/rs.3.rs-1265753/v1","authors":["Shixuan Huang","Yebing Mao","Zhengchao Peng","Xiaobing Hu"],"tags":["Computer science","Implementation","Virtual reality","Interactivity","Interface (matter)"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1265753/v1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202311.0041.v3","name":"Intelligent Feedrate Optimization using an Uncertainty-aware Digital Twin within a Model Predictive Control Framework","source":"preprints","abstract":"The future of intelligent manufacturing machines involves autonomous selection of process parameters to maximize productivity while maintaining quality within specified constraints. To effectively optimize process parameters, these machines need to adapt to existing uncertainties in the physical system. This paper proposes a novel framework and methodology for feedrate optimization that is based on a physics-informed data-driven digital twin with quantified uncertainty. The servo dynamics are modeled using a digital twin, which incorporates the known uncertainty in the physics-based models and predicts the distribution of contour error using a data-driven model that learns the unknown uncertainty on-the-fly by sensor measurements. Using the quantified uncertainty, the proposed feedrate optimization maximizes productivity while maintaining quality under desired servo error constraints and stringency (i.e., the tolerance for constraint violation under uncertainty) using a model predictive control framework. Experimental results obtained using a 3-axis desktop CNC machine tool and a desktop 3D printer demonstrate significant cycle time reductions of up to 38% and 17% respectively, while staying close to the error tolerances compared to the existing methods.","url":"https://doi.org/10.20944/preprints202311.0041.v3","authors":["Heejin Kim","Raed Kontar","Chinedum Okwudire"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202311.0041.v3","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00004-9","name":"Ball on plate modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00004-9","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:50Z","doi":"10.1016/b978-0-12-821631-6.00004-9","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/icir55739.2022.00017","name":"Egocentric Audio in the Digital Twin of Virtual Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icir55739.2022.00017","authors":["M. Geronazzo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-23T13:38:59Z","doi":"10.1109/icir55739.2022.00017","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/icir68135.2025.11361602","name":"A Holistic Approach to Digital Twin Education","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icir68135.2025.11361602","authors":["Soheil Sabri","Amir Mahdiyar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T21:00:25Z","doi":"10.1109/icir68135.2025.11361602","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5236293","name":"Digital Twin-Driven Assembling Prediction and Strategy Design of Cylindrical Parts","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5236293","authors":["Yimin Song","Chen Li","Binbin Lian","Tao Sun","Qi Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-30T01:36:57Z","doi":"10.2139/ssrn.5236293","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.20944/preprints202502.2084.v1","name":"Circular Economy Strategy Selection Through a Digital Twin Approach","source":"crossref","abstract":"This study investigates the impact of different reverse logistics (RL) strategies on the economic and environmental performance of a system within the rubber flooring sector. A simulation tool was developed to replicate the behavior of a real production system, focusing on the transition from linear to circular processes. By considering multiple factors influencing system performance, this research offers an overview of the sustainability of various RL strategies and provides realistic es-timates for different scenarios. Three key factors were identified to evaluate each strategy’s re-sponse: transportation distance, flooring thickness, and returned flooring quality. The findings suggest that the environmental advantage generally favors on-site inspections at the customer’s location to assess the returned product&amp;#039;s condition, regardless of distance. However, centralizing inspections at the manufacturer’s facility is more economically advantageous when distances are short, particularly when the company prioritizes recycling over other CE practices. Based on these results, practical implications and guidelines are proposed to help companies balance cost-effectiveness with sustainability, optimizing their operations within a circular economy framework.","url":"https://doi.org/10.20944/preprints202502.2084.v1","authors":["Marta Rinaldi","Mario Caterino","Marcello Fera","Raffaele Abbate","Umberto Daniele","Roberto Macchiaroli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-27T05:19:51Z","doi":"10.20944/preprints202502.2084.v1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4331450","name":"A Process Mining Framework for Analysing Students’ Behaviours Using Digital Twin","source":"crossref","abstract":"Electronic data mining techniques such as classification, clustering, regression, association rule mining and sequence mining are not process-centric. They do not aim at discovering, analyzing or providing a visual representation of the complete educational process that would help to understand students’ behaviour during online learning. This paper presents a framework that uses process mining approach to analyse event log data generated within educational information systems, and discover meaningful knowledge about students’ behaviours. Digital twin concept was employed to present a virtual representation of the students’ activities on the Learning Management System. The framework was evaluated for conformance with the activities observed in the log. The analysis conducted during this study showed the disparity between the behaviours of students that passed a particular course and students that failed the course. Findings also showed that using the inductive and the fuzzy miner algorithms produced better fitness levels for the process model when compared with other previously used algorithms such as the heuristic miner and alpha miner algorithms. This paper concluded by recommending that the development of educational process mining specific tools can help domain experts better understand students’ learning patterns.","url":"https://doi.org/10.2139/ssrn.4331450","authors":["Ambrose Azeta","Frank Agono","Falade Adesola","Vivian Nwaocha","Steven Tjiraso"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-31T07:34:05Z","doi":"10.2139/ssrn.4331450","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/iciss53185.2021.9533190","name":"Smart Government using Digital Twin in Japan","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciss53185.2021.9533190","authors":["Toshio Obi","Naoko Iwasaki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-13T22:59:19Z","doi":"10.1109/iciss53185.2021.9533190","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.47939/et.v2i8.114","name":"The Development and Application of Digital Twin Technology in Automobile Intelligent Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.47939/et.v2i8.114","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-01T06:43:56Z","doi":"10.47939/et.v2i8.114","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.5070313","name":"Digital Twin for Magnetic Levitation Systems: General Architecture Design and Uncertainty Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5070313","authors":["Yang Wang","Yufeng Huang","Sebastian Viancha","Mir Behrad Khamesee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T09:18:20Z","doi":"10.2139/ssrn.5070313","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-030-88181-8_8","name":"Digital Twin for Data-Driven Engineering Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-88181-8_8","authors":["Ang Liu","Yuchen Wang","Xingzhi Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-10T16:43:30Z","doi":"10.1007/978-3-030-88181-8_8","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.4043/28012-ms","name":"Developing a Digital Twin for Floating Production Systems Integrity Management","source":"crossref","abstract":"Abstract Floating production systems asset integrity management programs are dependent on a combination of inspection, analysis and measured data. These tasks are often labor intensive to perform. A digital twin model combines data and computer models, which can significantly increase the efficiency of these integrity management tasks. A digital twin model has been developed that utilizes typical floating systems measured data and a global performance model. This digital twin model provides an automated continuous assessment of the asset. Eliminating many of the labor intensive activities allows personnel to focus on applying the outcomes of the floating systems assessments rather than performing the assessments. The automated and continuous nature of the digital twin model also allows for a much greater understanding of the behavior of the system, which is the fundamental basis of a successful integrity management program.","url":"https://doi.org/10.4043/28012-ms","authors":["David Renzi","Dilip Maniar","Scot McNeill","Cesar Del Vecchio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2017-10-17T13:37:43Z","doi":"10.4043/28012-ms","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.5910569","name":"An Explainable Human–AI Co-Decision Framework for Real-Time Scheduling in Digital Twin–Enabled Smart Factories","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5910569","authors":["BOUZIDI LAMDJAD","Adam chaiter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-12T13:37:33Z","doi":"10.2139/ssrn.5910569","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.20948/graphicon-2023-891-895","name":"Digital Twin Metamodeling","source":"crossref","abstract":"The paper presents a method of developing digital twins (DTs) by creating special cognitive shell- metamodels that allow the creation, correction, scaling and implementation of arbitrary complexity of DTs of productions and their products. The method of cognitive matamodeling of DTs will allow to integrate the main properties of the software of DTs: 3D-modeling, accounting of functioning and dynamics of changes, management of configurations of DTs, monitoring of communication relations, calculation of mass and inertial characteristics, storage and visualization of chronicles of all operational and dynamic activities. This approach will add flexibility to the chain of interaction: human- DTs- communication channel- physical object, which in turn will eliminate the gap between the stages of development and implementation, as well as the scaling of the project. The use of metamodels can bring all parties involved in development and operation closer together in terms of time and location.","url":"https://doi.org/10.20948/graphicon-2023-891-895","authors":["A.I. Razumowsky"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-19T11:32:08Z","doi":"10.20948/graphicon-2023-891-895","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.70675/e6048833zd5aez4dfdz9cc8z1d2df08a271a","name":"Modeling and simulation through data integration for the development of a digital twin-based decision support tool for wood sawmills","source":"crossref","abstract":"Modélisation et simulation par l'intégration de données pour le développement d'un outil d'aide à la décision basé sur un jumeau numérique de scierie Le bois est de plus en plus valorisé comme matière première durable, notamment pour son rôle dans le stockage du carbone lorsqu’il est utilisé dans la construction. Cependant, cette demande croissante doit être équilibrée avec la nécessité de préserver les ressources forestières. En réponse à ces enjeux, les gestionnaires de scieries cherchent à améliorer en continu l'efficacité de la production. Les systèmes de production des scieries sont complexes, influencés par de nombreux points de décision, des pannes de machines, la variabilité des matières premières et des incertitudes opérationnelles, autant de facteurs qui affectent considérablement les performances.Cette thèse répond à ces défis en développant un outil d'aide à la décision basé sur l'intégration de données, la modélisation, la simulation et le concept de jumeau numérique. À partir de données réelles issues d'une scierie française, l'étude analyse l'ensemble du processus de production, identifie les goulets d'étranglement critiques et simule divers scénarios opérationnels pour soutenir la prise de décision stratégique.L'outil de simulation permet d’évaluer les effets de l'optimisation des différentes lignes de production et des équipements, en déterminant les priorités d'intervention afin de maximiser l'efficacité et la performance de la scierie. Il met en évidence l'impact de la réduction des temps d'arrêt et de l'amélioration du flux opérationnel sur la productivité globale. En fournissant une évaluation dynamique de différentes stratégies de décision, l'outil permet aux gestionnaires de scieries de prendre des décisions plus éclairées et plus efficaces pour accroître la production et la résilience dans un environnement de production complexe.Ce travail contribue à l'avancement de l'application des jumeaux numériques dans l'industrie du bois, en proposant un cadre pratique pour le suivi de la production, l'optimisation des performances et le soutien à la décision dans des opérations de scierie complexes et riches en données.","url":"https://doi.org/10.70675/e6048833zd5aez4dfdz9cc8z1d2df08a271a","authors":["George Boles"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T12:51:08Z","doi":"10.70675/e6048833zd5aez4dfdz9cc8z1d2df08a271a","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.5238524","name":"Application of Digital Twin in Structural Health Monitoring of Civil Structures: A Systematic Literature Review Based on PRISMA","source":"crossref","abstract":"Structural Health Monitoring (SHM) systems are critical for ensuring the safety and longevity of structures. Digital twin technology has emerged as a promising tool to improve the accuracy and efficiency of SHM systems. This paper presents a systematic literature review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) on the applications of digital twin for SHM of civil structures. And this systematic literature review examines the current trends and developments in the application of digital twin technology in SHM systems for structures. The review identified 45 relevant articles published between 2010 and 2023 that covered various applications of digital twin in SHM systems, including buildings, bridges, wind turbines, trains, and gas turbines. Key themes identified from the literature review included the integration of physical models and machine learning algorithms, the use of distributed sensor networks, and the importance of real-time data analysis for effective SHM. The findings suggest that digital twin technology has the potential to significantly improve the accuracy and efficiency of SHM systems, but further research is needed to develop more advanced and integrated Digital Twin-Based SHM systems for different types of civil structures.","url":"https://doi.org/10.2139/ssrn.5238524","authors":["Girmay Mengesha Azanaw"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-07T13:06:54Z","doi":"10.2139/ssrn.5238524","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.37307/j.2198-3151.2022.03.11","name":"Chancen und Risiken der Implementierung eines Digital Twin of Organization","source":"crossref","abstract":"","url":"https://doi.org/10.37307/j.2198-3151.2022.03.11","authors":["Markus H. Dahm","Julian Krause"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-21T01:15:12Z","doi":"10.37307/j.2198-3151.2022.03.11","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/wsc68292.2025.11338952","name":"Data Requirements for a Digital Twin of a CNC Machine Tool","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11338952","authors":["Deogratias Kibira","Guodong Shao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11338952","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.sciaf.2023.e01821","name":"Digital twin implementation approach in supply chain processes","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sciaf.2023.e01821","authors":["Ihsane Abouzid","Rajaa Saidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-04T22:29:57Z","doi":"10.1016/j.sciaf.2023.e01821","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1111/beer.12698/v2/review2","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v2/review2","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.3390/s23249883","name":"Digital Twin of a Gear Root Crack Prognosis","source":"crossref","abstract":"Digital twins play a significant role in Industry 4.0, offering the potential to revolutionize machinery maintenance. In this paper, we introduce a new digital twin designed to address the open problem of predicting gear root crack propagation. This digital twin uses signal processing and model fitting to continuously monitor the condition of the root crack and successfully estimate the remaining time until immediate maintenance is required for the physical asset. The functionality of this new digital twin is demonstrated through the experimental data obtained from a planetary gear, where comparisons are made between the actual and estimated severity of the fault, as well as the remaining time until maintenance. It is shown that the digital twin addresses the open problem of predicting gear root crack propagation.","url":"https://doi.org/10.3390/s23249883","authors":["Omri Matania","Eric Bechhoefer","Jacob Bortman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-18T11:28:07Z","doi":"10.3390/s23249883","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.6895518","name":"Digital Twin-Driven Design of Functionally Graded Additive Manufactured Structures for Deep Space Missions: A Review and Framework Perspective","source":"crossref","abstract":"Deep space and cislunar missions, including those associated with Artemis II mission, expose spacecraft structures to sustained thermal gradients and radiation environments that differ significantly from low Earth orbit conditions. Addressing these challenges requires material and design strategies capable of managing heat transfer while maintaining structural efficiency under strict mass constraints. Digital Twin methodologies, functionally graded materials (FGMs), and additive manufacturing (AM) have each been explored in the aerospace domain; however, their integrated application at the material-structure design level remains relatively underdeveloped. This work examines the combined potential of these approaches through a consolidated review perspective and introduces a physics-based framework for evaluating graded structures under representative deep space conditions. In this design-stage interpretation, the Digital Twin is treated as a high-fidelity virtual prototype rather than a sensorcoupled operational system, enabling systematic pre-fabrication exploration of material grading strategies. The framework incorporates a one-dimensional steady-state heat conduction model with spatially varying thermal conductivity, coupled with a simplified radiation attenuation formulation based on the Beer-Lambert relation. Material grading is described using a power-law distribution, allowing systematic assessment of how thermal resistance can be redistributed across the structure. Parametric analysis shows that increasing the grading exponent significantly alters internal temperature profiles and can reduce heat flux by up to approximately 69% compared to a homogeneous configuration, without modifying boundary conditions. Within the simplified modelling assumptions, radiation attenuation is primarily governed by material thickness; however, in realistic deep space environments, attenuation is expected to depend on material composition, indicating potential coupling between thermal and shielding performance. Overall, the study provides a structured and physically interpretable pathway for extending Digital Twin-based evaluation to material-level design, offering a computationally efficient approach for the early-stage assessment and optimization of functionally graded structures for deep space applications.","url":"https://doi.org/10.2139/ssrn.6895518","authors":["Aswin Karkadakattil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:48:06Z","doi":"10.2139/ssrn.6895518","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1080/27525783.2023.12519284","name":"REVISED Web-based digital twin online laboratories: Methodologies and implementation\n         \t\t\t[version 3; peer review: 2 approved, 1 approved with reservations]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519284","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-15T14:59:05Z","doi":"10.1080/27525783.2023.12519284","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.20944/preprints202501.0043.v1","name":"A Study on Guidelines for Constructing Building Digital Twin Data","source":"crossref","abstract":"In South Korea, to systematically share and operate data related to the National Digital Twin, a reference model standard for the National Digital Twin concept was established in 2021. This was followed by the development of national standards (KS) for buildings. Despite these efforts, the implementation of digital twin (or spatial information) projects faces challenges owing to a low level of understanding of the standards and the absence of a standardized data construction process. Consequently, data construction that adheres to these standards is not being accomplished. Additionally, a lack of understanding of data models, semantic elements, and GML editing methods has led to the creation of appearance-focused data. To address these issues, this study proposes a digital twin data (building domain) construction guide that organizes geometric information, semantic information, and attribute information for building-related digital twin data components (such as doors, windows, etc.). This guide study aims to enable stakeholders to easily construct fundamental digital twin data in accordance with the standards, ensuring high-quality product creation that meets the requirements. Furthermore, the detailed data construction requirements defined in this guide will allow it to serve as a manual usable by both the public and private sectors.","url":"https://doi.org/10.20944/preprints202501.0043.v1","authors":["Dawoon Jeong","Taeyun Jeong","Changyun Lee","Youngmin Choi","Dohun Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-06T05:53:01Z","doi":"10.20944/preprints202501.0043.v1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.47173/2134-008-001-016","name":"The Impact Of Application Digital Twin Technology On Production Efficiency - Based On Practical Experiment","source":"crossref","abstract":"","url":"https://doi.org/10.47173/2134-008-001-016","authors":["Benedictine Douadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T13:38:45Z","doi":"10.47173/2134-008-001-016","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5704096","name":"Digital Twin-Artificial Intelligence Prediction Model Supporting User-Centric Data-Based Decision-Making in Cement Manufacturing Processes","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5704096","authors":["juhee Kim","Jongpil Jeong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-04T20:39:45Z","doi":"10.2139/ssrn.5704096","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781003726913-20","name":"AI-Driven Digital Twin Framework for Predictive Healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003726913-20","authors":["R. Sangeetha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-02T09:34:20Z","doi":"10.1201/9781003726913-20","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1111/beer.12698/v1/review1","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v1/review1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2118/220944-ms","name":"Digital Twin for Optimization of Wells with Intelligent Completion","source":"crossref","abstract":"Abstract The evaluation and optimization of wells with intelligent completion, whether multilayer or multilateral, requires a deep understanding of inflow characteristics at each inflow control valve (ICV). Zonal testing is crucial for gathering fluids and reservoir data; nonetheless, it leads to production deferment, which is undesirable by most operators. In this paper, we present how a wells’ digital twins on an edge Internet of Things (IoT) device will provide real-time virtual measurements as well as ICV optimization opportunities to maximize oil production. We present a digital twin solution for a synthetic well equipped with an electric submersible pump (ESP) and two ICVs. The digital twin system is composed of two primary components together called the estimator. One aspect is a physics-based well model that accurately calculates pressure losses and flow characteristics, and the other is an iterative algorithm that employs real-time field data, encompassing production and ESP operational data to dynamically recalibrate and update the digital twin representation of the well. By capturing the well’s dynamic state, the digital twin enables the optimizer, an optimization workflow that suggests optimal ICV positions and ESP pump frequencies, aiming to maximize oil production while maintaining water-cut constraints within individual layers. To validate the approach, we rigorously tested various well scenarios. Our approach involved flow tests with different ICV positions. In addition, we conducted a comprehensive parametric analysis, considering temporal variations in water cuts and the productivity index (PI) of individual layers. Recognizing that factors such as pressure fluctuations, wellbore conditions, and reservoir dynamics significantly impact overall productivity and inflow characteristics, the estimator within the digital twin avatar of the well is automated to allow fine tuning of PI and/or water cut for each layer to recalibrate itself dynamically. The estimator adeptly captures transient changes in the well, and our results demonstrate that initial calibration efforts substantially enhance its accuracy over time. The optimizer, an extension of the digital twin model, is tested against operational constraints of oil and water production to recommend ICV positions with projected flow rates and water cuts for each layer. Our findings align closely with a physics-based simulator, validating the approach within a 10% error range. This entire digital twin workflow helps provide a consistent and reliable well monitoring mechanism for the well along with reliable recommendations for production optimization decisions. The novelty in this approach is to provide accurate real-time flowrate estimates of complex multilateral/multilayer wells with intelligent completions. The digital twin workflow provides virtual sensing that helps estimate downhole well conditions with great reliability for production management and optimization.","url":"https://doi.org/10.2118/220944-ms","authors":["S. Srivastava","A. Gambaretto","K. Shresth"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-20T20:00:11Z","doi":"10.2118/220944-ms","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1201/9781003132868-11","name":"Case Studies Related to Depression Detection Using Deep Learning Techniques","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003132868-11","authors":["Jagannath Jayanti","Madhavendra Singh","Vibhuti Jain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T19:47:30Z","doi":"10.1201/9781003132868-11","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4795528","name":"Research on Data-Driven Digital Twin River Network System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4795528","authors":["Zishuo Jin","Feng Ye","Dong Xu","Lin Lan","Zheng Wu","Xuejie Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T03:48:28Z","doi":"10.2139/ssrn.4795528","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2307/j.ctv2xqngmf.9","name":"A Simulating Life","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.9","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.9","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.29363/nanoge.hopv.2023.201","name":"An Adaptive Digital Twin for Organic Photovoltaic Materials","source":"crossref","abstract":"","url":"https://doi.org/10.29363/nanoge.hopv.2023.201","authors":["Christoph Brabec","Larry Lueer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-17T10:48:00Z","doi":"10.29363/nanoge.hopv.2023.201","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.2139/ssrn.4756893","name":"Design and Application of a Virtual Platform for Continuous Carbon Fiber 3d Printing Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4756893","authors":["Xiao Wei","Jian Mao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-12T17:19:12Z","doi":"10.2139/ssrn.4756893","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-030-48200-8_75-1","name":"Data Models for NDE 4.0 and NDE Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-48200-8_75-1","authors":["Stephen D. Holland"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-29T06:05:50Z","doi":"10.1007/978-3-030-48200-8_75-1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.46354/i3m.2023.emss.007","name":"Artificial Neural Networks approach for Digital Twin modelling of an ejector","source":"crossref","abstract":"","url":"https://doi.org/10.46354/i3m.2023.emss.007","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-27T10:10:19Z","doi":"10.46354/i3m.2023.emss.007","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.56726/irjmets95151","name":"Digital Twin of Forest Ecosystem for Wild Animals Safety","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets95151","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-26T09:18:48Z","doi":"10.56726/irjmets95151","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1109/icc51166.2024.10622316","name":"Digital Twin Aided Massive MIMO: CSI Compression and Feedback","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622316","authors":["Shuaifeng Jiang","Ahmed Alkhateeb"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T11:34:42Z","doi":"10.1109/icc51166.2024.10622316","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1007/978-3-032-10362-8","name":"Digital Twin for Marine Fish Farming","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-10362-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-12T22:06:13Z","doi":"10.1007/978-3-032-10362-8","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.5194/egusphere-egu26-21977","name":"Synthetic wind scenario generator from on-site SCADA for wind turbine digital twin","source":"crossref","abstract":"Wind simulation is a critical step for wind turbine lifetime assessment: to accurately represent turbine behaviour across its lifespan, we need accurate wind scenarios. In this work, we propose a methodology for generating synthetic full-field turbulent wind scenarios from sparse, high-frequency SCADA (Supervision Control and Data Acquisition) collected across multiple wind farms.The proposed methodology is a two-stage process. First, a physics-driven stochastic model learns wind data characteristics from low-frequency measurements extracted from high-frequency sparse SCADA. Second, the pipeline generates a low frequency signal that reproduces the observed spectral content, marginal distribution, and autocorrelation.We build upon this first stage with a high-frequency turbulence generated via *PyConTurb* [1], which implements IEC/Kaimal coherence models to produce spatially coherent 3D velocity fields across the rotor plane. Our tool is first calibrated using learnt parameters from raw high-frequency SCADA data, then blended with the first signal, which is used as a constraint.The pipeline outputs TurbSim-compatible BTS files [2] , enabling use in SeaHowl [3] aeroelastic simulations. This industry-standard output enables a ready-to-use wind scenario in both simulation pipelines and machine learning analysis tools.[1] (Rinker, J. M. (2018). PyConTurb: an open-source constrained turbulence generator. _Journal of Physics: Conference Series_, _1037_, 062032. https://doi.org/10.1088/1742-6596/1037/6/062032) [2] (Jonkman, B J (2006). TurbSim User's Guide. https://doi.org/10.2172/891594) [3] (De Lataillade, T., Yu, W., Pallud, M., &amp; Capaldo, M. (2024). SEAHOWL: Partitioned Multiphysics and Multifidelity Modelling of Wind Turbines with Monolithically Coupled Elastodynamics. _Journal of Physics: Conference Series_, _2767_(5), 052051. https://doi.org/10.1088/1742-6596/2767/5/052051)","url":"https://doi.org/10.5194/egusphere-egu26-21977","authors":["Briac Malbois Le Borgne","Filippo Gatti","Matteo Capaldo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T05:59:36Z","doi":"10.5194/egusphere-egu26-21977","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.1088/1402-4896/ae7edc/v1/review1","name":"Review for \"Dynamic Thermo-Opto-Electro Digital Twin Framework for Robustness-Aware Design and Limit Analysis of CZTSSe Thin-Film Solar Cells\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1402-4896/ae7edc/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T21:09:36Z","doi":"10.1088/1402-4896/ae7edc/v1/review1","addedAt":"2026-09-01T01:47:38.993Z","updatedAt":"2026-09-01T01:47:38.993Z"},{"id":"doi:10.5194/egusphere-egu26-7450","name":"Digital Twin For Improvement of The Sustainability of Neighbourhoods Through Scenario Planning","source":"crossref","abstract":"Digital twins as complex decision-making systems are increasingly used in climate adaptation and sustainability planning. However, most of the applications currently available remain largely sector-oriented, thus limiting their capacity to capture interactions between different domains with multiple interrelated indicator systems. This constraint is particularly applicable at the neighborhood scale, where planning interventions are applied, and trade-offs between competing objectives become most visible. This work introduces the prototype of a neighborhood-scale digital twin system, which is designed to support integrated, scenario-based analysis of urban ecology and energy systems. The digital twin implemented in the post-war residential neighbourhood of Twekkelerveld, Enschede, the Netherlands, attempts to solve major issues, such as the ageing building stock, limited green infrastructure, and relatively high energy demand. The framework incorporates open and municipal datasets, including tree inventories, green spaces, urban heat potential, building geometry, energy-use intensity, energy estimation, solar electricity potential, and carbon footprint. The system explicitly represents interactions among ecological and energy interventions at the neighbourhood level, unlike the existing tools.The digital twin is designed to facilitate interactive \"what-if\" exploration of typical urban interventions across multiple domains. Ecological scenarios, such as tree planting strategies and green facade deployment, enable users to assess the impacts on greenness, urban heat mitigation, carbon sequestration, and investment costs. Energy scenarios include building insulation improvements, rooftop solar deployment, heat pump transitions, and local energy sharing, measured by the indicators on the level of the neighborhood and buildings. The interrelation module explicitly connects the ecological and energy measures, which allow the comparison of the combined effects on cooling, energy demand, emissions, and overall performance.Instead of making sustainability planning a one-sector endeavour, the prototype assists in the exploration of options: what changes, what gets better, and what gets worse when various measures are combined. Presenting baseline and scenario outcomes side by side makes trade-offs clearer across ecological, energy, and environmental indicators. The work shows how neighbourhood-scale digital twins can operationalise multi-domain data and scenario logic in a form that is usable by urban planners, municipalities, and local decision-makers. This complements Earth system-scale digital twins, which are centered around the local level where interventions are discussed and implemented.","url":"https://doi.org/10.5194/egusphere-egu26-7450","authors":["Rakibun Athid","Dr. Mila N. Koeva","Dr. Pirouz Nourian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T22:30:48Z","doi":"10.5194/egusphere-egu26-7450","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.5289760","name":"Smart Farm Digital Twin Model Based on Edge-Cloud Architecture for Tomato Monitoring and Detection","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5289760","authors":["Wenshuang Du","Peng Jin","Wenquan Jin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-12T08:33:47Z","doi":"10.2139/ssrn.5289760","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2118/224517-ms","name":"Country-Level Gas Production Optimization at Decline Stage Without Investment Using a Digital Twin","source":"crossref","abstract":"Abstract YPFB, the Bolivian State Oil Company, needed to secure gas production volumes for local and export markets at a decline stage of major gas production fields. Naturally fractured major gas fields in the Bolivian Sub Andean Basin did not behave as expected and faced challenges at decline stage, as hydrocarbon flow from reservoirs to sales points needed to be optimized in a cost-effective manner due to declining well productivity. Backpressure effects started to constrain the ability of wells to unload the bottomhole and production line from accumulated liquids and reservoirs suffered lower pressure drawdowns and wellbore skin damage. The best fit-for-solution to overcome such conditions is represented by field compression projects, which generally in Bolivia are not included in the original development plan as part of the Commerciality Assessment. YPFB needed then to evaluate the feasibility of compression projects at decline stages by proposing alternatives for gas production increase and savings in compression projects prior to sizing compression power. An extended digital twin including wells, gathering systems, gas processing plants, sales gas pipelines, midstream liquefaction plants and export/local pipeline systems for major gas fields in Bolivia allowed to periodically analyze changes in surface conditions to overcome these challenges and obtain significant increases in gas production on a country level -at no cost-, as well as savings in field compression projects, by reducing well backpressure starting at the sales point. Increases in gas production of 8 and 10 % were reached in the San Alberto and San Antonio Fields, respectively, prior to the implementation of field compression projects in 2015 and 2018, when processing plant design operating pressures were reduced by 350 psi. These production increments against a baseline case represented additional incomes of 280 MMUSD a year for both fields when taking the sustained additional gas and condensate production volumes through one year at gas and liquid prices for exports and local markets, respectively.","url":"https://doi.org/10.2118/224517-ms","authors":["M. A. Parada Tarabillo","D. Shigapova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-21T00:04:42Z","doi":"10.2118/224517-ms","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2307/j.ctv2xqngmf.13","name":"The Virtual Body","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.13","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.13","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.5437637","name":"A Digital Twin for Green Hydrogen Cost Modeling: A TEA–ML Framework with a U.S. State-Level Application","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5437637","authors":["Andrea Navarro Jiménez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-04T00:37:57Z","doi":"10.2139/ssrn.5437637","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.4018/978-1-6684-7548-5.ch007","name":"Unified Modeling for Emulating Electric Energy Systems","source":"crossref","abstract":"Large-scale computing, including machine learning (MI) and AI, offer a great promise in enabling sustainability and resiliency of electric energy systems. At present, however, there is no standardized framework for systematic modeling and simulation of system response over time to different continuous- and discrete-time events and/or changes in equipment status. As a result, there is generally a poor understanding of the effects of candidate technologies on the quality and cost of electric energy services. In this chapter, the authors discuss a unified, physically intuitive multi-layered modeling of system components and their mutual dynamic interactions. The fundamental concept underlying this modeling is the notion of interaction variables whose definition directly lends itself to capturing modular structure needed to manage complexity. As a direct result, the same modeling approach defines an information exchange structure between different system layers, and hence can be used to establish structure for the design of a dedicated computational architecture, including AI methods.","url":"https://doi.org/10.4018/978-1-6684-7548-5.ch007","authors":["Marija Ilic","Rupamathi Jaddivada","Assefaw Gebremedhin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-05T09:57:01Z","doi":"10.4018/978-1-6684-7548-5.ch007","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1016/b978-0-323-90534-3.00032-9","name":"Digital twin in cardiovascular medicine and surgery","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-90534-3.00032-9","authors":["G. Hamilton Baker","Matthew Davis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-08T11:01:14Z","doi":"10.1016/b978-0-323-90534-3.00032-9","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1007/978-3-031-84477-5_75","name":"Data Models for NDE 4.0 and NDE Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-84477-5_75","authors":["Stephen D. Holland"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-28T18:15:30Z","doi":"10.1007/978-3-031-84477-5_75","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5583031","name":"Cyber-Physical Security for Microgrids through Digital Twin Technologies: A Review and Research Outlook","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5583031","authors":["Bushra Canaan","Yosra Makhlouf","Djaffar  Ould Abdeslam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T15:42:12Z","doi":"10.2139/ssrn.5583031","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2514/6.2025-2817","name":"Probabilistic Digital Twin for Damage-Aware Rotorcraft Maneuvering","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2817","authors":["Sankaran Mahadevan","William Sisson","Pranav Karve"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2817","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.23977/jemm.2026.110101","name":"Digital Twin Modeling and Simulation for an Automated Assembly Line","source":"crossref","abstract":"","url":"https://doi.org/10.23977/jemm.2026.110101","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T08:57:30Z","doi":"10.23977/jemm.2026.110101","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1201/9781003383444-9","name":"Digital Twin, Servitization, Circular Economy, and Lean Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003383444-9","authors":["Junaid Ahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T12:19:23Z","doi":"10.1201/9781003383444-9","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2307/j.ctv2xqngmf.2","name":"Table of Contents","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.2","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.52843/cassyni.dqcr9j","name":"The Digital Twin Earth Hydrology Platform","source":"crossref","abstract":"Climate change is profoundly affecting the global water cycle, increasing the likelihood and severity of extreme water-related events. Better decision-support systems are vital to accurately predict and monitor water-related environmental disasters and optimally manage water resources. These must integrate advances in remote sensing, in situ, and citizen observations with high-resolution Earth system modeling, artificial intelligence (AI), information and communication technologies, and high-performance computing. Digital Twin Earth (DTE) models are a ground-breaking solution offering digital replicas to monitor and simulate Earth processes with unprecedented spatiotemporal resolution. Advances in Earth observation (EO) satellite technology are pivotal, and here we provide a roadmap for the exploitation of these methods in a DTE for hydrology. The 4-dimensional DTE Hydrology datacube now fuses high-resolution EO data and advanced modeling of soil moisture, precipitation, evaporation, and river discharge, and here we report the latest validation data in the Mediterranean Basin. This system can now be explored to forecast flooding and landslides and to manage irrigation for precision agriculture. Large-scale implementation of such methods will require further advances to assess high-resolution products across different regions and climates; create and integrate compatible multidimensional datacubes, EO data retrieval algorithms, and models that are suitable across multiple scales; manage uncertainty both in EO data and models; enhance computational capacity via an interoperable, cloud-based processing environment embodying open data principles; and harness AI/machine learning. We outline how various planned satellite missions will further facilitate a DTE for hydrology toward global benefit if the scientific and technological challenges we identify are addressed.","url":"https://doi.org/10.52843/cassyni.dqcr9j","authors":["Luca Brocca","Lorenzo Alfieri","Giriraj Amarnath","Mariette Vreugdenhil","Ilias Pechlivanidis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-05T11:32:42Z","doi":"10.52843/cassyni.dqcr9j","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.51219/urforum.2026.ioannis-gialelis","name":"A Digital Twin framework for closed-loop water management","source":"crossref","abstract":"","url":"https://doi.org/10.51219/urforum.2026.ioannis-gialelis","authors":["Ioannis Gialelis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T12:58:47Z","doi":"10.51219/urforum.2026.ioannis-gialelis","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.31235/osf.io/ktcxd_v1","name":"Orchestrating the Twin Transition in Multinational Corporations: Technology Roadmapping for Green and Digital Global Business Services","source":"crossref","abstract":"Global Business Services (GBS) have emerged as a \"living laboratory\" for the Twin Transition of Green and Digital Transformation, as multinational corporations (MNCs) face increasing pressure to harmonize digital efficiency with environmental stewardship. Aiming to derive a socio-technical framework, this paper synthesizes Technology Roadmapping (TRM) with the International Telecommunication Union (ITU) ICT-centric innovation ecosystem toolkit. A bibliometric analysis of research clusters reveals an evolutionary shift from basic process automation toward \"Sustainable Intelligence,\" identifying the GBS unit as a central \"operational airlock\" that mediates between landscape pressures—such as the EU’s dual mandate and Carbon Border Adjustment Mechanisms—and niche innovations in AI-native workflows. The study further maps these clusters onto a stakeholder engagement canvas, highlighting how resilient \"Middle Power\" hubs in Poland, Portugal, and Malaysia are bypassing the middle-income trap to provide a \"third way\" for global value chains amidst a bifurcated geopolitical cloud. The results offer a data-driven design approach for leaders and entrepreneurial support networks to orchestrate talent and supply chain flows, thereby enriching the conceptual understanding of Industry 5.0 and the role of GBS as a primary mechanism for navigating a volatile, multipolar digital economy.","url":"https://doi.org/10.31235/osf.io/ktcxd_v1","authors":["Han-Teng Liao","Karen Ang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T18:15:03Z","doi":"10.31235/osf.io/ktcxd_v1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.7075188","name":"Edge-Enabled Digital twin-Based Federated Explainable Agentic Artificial Intelligence for Real-Time Sustainable Smart City Governance","source":"crossref","abstract":"The increasing complexity of smart city ecosystems and the demand for real-time urban governance present challenges in privacy preservation, communication overhead, scalability, transparency, and adaptive decision-making. Existing frameworks often rely on centralized architectures and investigate digital twins, federated learning, explainable artificial intelligence, and agentic intelligence independently, limiting coordination and sustainability. This study proposes an Edge-Enabled Digital Twin-Based Federated Explainable Agentic Artificial Intelligence framework for real-time sustainable smart city governance. The proposed framework integrates edge intelligence, digital twin synchronization, federated learning, explainable decision-making, and agentic reasoning within a unified architecture to enable collaborative and adaptive urban intelligence. Representative datasets from transportation, energy management, environmental monitoring, healthcare, and public safety are used for evaluation in a distributed simulation environment. Experimental results demonstrate that the proposed framework outperforms conventional intelligent approaches by improving decision accuracy, reducing communication overhead, and enhancing transparency and responsiveness. Overall, the proposed framework provides a scalable, privacy-aware, and trustworthy foundation for sustainable smart city governance through transparent, adaptive, and intelligent decision support.","url":"https://doi.org/10.2139/ssrn.7075188","authors":["CHIRANJEEVI PANDI","Sailesh Iyer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T20:38:57Z","doi":"10.2139/ssrn.7075188","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.6619351","name":"Ontology-Based Multi-Domain Digital Twin Framework: Application to Gas Turbine Combined Cycle Power Plants​","source":"crossref","abstract":"Digital Twin (DT) systems for power plants typically operate within a single domain (process simulation, mechanical life prediction, or fault diagnosis) with no principled mechanism for cross-domain analysis. This paper proposes a multi-domain DT framework in which three computational layers (physics simulation, mechanical life prediction, and Bayesian fault diagnosis with complementary rule-based diagnostics) are integrated through a shared OWL/RDF ontology that simultaneously defines plant topology, stores results as semantically linked knowledge, governs model selection, and provides the multi-domain relational tracing backbone. An ontology-managed DataStatus mechanism enables graceful degradation. The framework automatically selects the best available model per device based on data availability, adapting without code modification. The framework is formalized using operator composition notation and demonstrated on a Gas Turbine Combined Cycle (GTCC) plant, validated against two independent plants, a public benchmark (NETL Case 13, 555 MW) and a commercial 530 MW plant, achieving sub-2% relative error at design point for primary performance indicators. Integrating mechanical evidence (surge margin) into the Bayesian observation vector improves fault diagnostic accuracy by 10-13 percentage points over process variables alone. A five-step cross-domain analysis chain, from a single compressor efficiency deviation through operating state update, equipment life recalculation, probabilistic fault identification, cross-module impact tracing, and threshold-based diagnostic alerts, executes automatically. The novelty lies not in any individual model (all established methods) but in the architectural mechanism that composes them through the shared ontology into a single reasoning system. The framework supports Monte Carlo uncertainty quantification and multi-fuel (H2/NH3) analysis.","url":"https://doi.org/10.2139/ssrn.6619351","authors":["Raymoon Hwang","Yongjin Joo","Min Oh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-21T07:39:21Z","doi":"10.2139/ssrn.6619351","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.3718017","name":"Manufacturing Process Control Through a Digital Twin: Encoding Issues","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.3718017","authors":["Alexios Papacharalampopoulos","Christos Michail","Panagiotis Stavropoulos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-27T12:05:21Z","doi":"10.2139/ssrn.3718017","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.15405/epsbs.2021.12.04.1","name":"Digital Twin An Aid To Sustainability: “The Samba” Case","source":"openalex","abstract":"Digitization today is the main option to facilitate the transition of the entire energy supply chain, facilitating the development of intelligent and sustainable energy systems on buildings, in response to the requirements of the European legislation on the \"Green Deal\". The purpose of this paper is to demonstrate that digital tools and techniques such as the \"Digital Twin\" and \"Digital Revamping\" seem to be the ones that, more than others at present, favor the achievement of energy efficiency objectives with greater ease, through the use of predictive models and techniques, which make it possible to make predictions on the future state of corporate assets. The building becomes \"smart\" thanks to artificial intelligence and 5G. Through these techniques it is possible to hypothesize scenario analyses (what-if) and evaluate the impacts and effects of any critical issues. The first part discusses the state of the art. Subsequently, the Digital Twin and the Revamping Thimble are defined as tools that promote sustainability especially in applying them to buildings. This contribution focuses on the application of Digital Twin for a real project in progress. It describes the Italian project \"Smart and Advanced Multitenants Building Automation\" also known as “SAMBA”, a sustainable model that uses digital technologies to create \"Smart Buildings\" at reduced costs and zero environmental impact, starting from existing buildings, thanks to sensors, 5G technology and artificial intelligence. Finally, the conclusions are presented.","url":"https://doi.org/10.15405/epsbs.2021.12.04.1","authors":["Caterina Aura"],"tags":["Digitization","Sustainability","Computer science","Building automation","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-31","doi":"10.15405/epsbs.2021.12.04.1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1201/9781003522003-6","name":"Digital twin architectures for 6G communication","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003522003-6","authors":["K. Neelima","C. Kavya","Digvijay Pandey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-30T20:45:42Z","doi":"10.1201/9781003522003-6","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.26034/lu.akwi.2018.3220","name":"Digital Twin-Konzeption in der Automobilindustrie: Einsatzpotenziale der Blockchain-Technologie","source":"crossref","abstract":"Digital Twins stehen stellvertretend für innovative IT-Konzepte, die gegenwärtig im Sinne der digitalen Transformation Branchen wie den Automobilbau revolutionieren. Ihr jeweiliges Ziel liegt in der vollständigen Abbildung aller relevanten Charakteristika eines Produkts und damit in einem verbesserten Produktdatenmanagement (PDM). Aus dynamischer Perspektive sind beim Management des Produktlebenszyklus (PLM) verschiedene Phasen zu differenzieren. Bereits bei der Elektrik/Elektronik (E/E)-Entwicklung im Fahrzeugbau muss eine Vielzahl an Informationen zwischen unterschiedlichen (internen und externen) Parteien ausgetauscht und dokumentiert werden. Im Mittelpunkt dieses Artikels steht die Frage, ob die Blockchain-Technologie sich eignet, zugehörige Aktivitäten effizient zu unterstützen bzw. einen Mehrwert gegenüber den klassischen Vorgehensweisen im PDM/PLM zu bieten. Die Evaluierung basiert auf einer qualitativ-methodischen Herangehensweise.","url":"https://doi.org/10.26034/lu.akwi.2018.3220","authors":["Frank Morelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-20T11:42:50Z","doi":"10.26034/lu.akwi.2018.3220","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1109/etfa46521.2020.9212145","name":"SS10 Roles of Digital Twin in Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etfa46521.2020.9212145","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-05T21:37:37Z","doi":"10.1109/etfa46521.2020.9212145","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.25236/icacel.2025.048","name":"Optimization Design of Building HVAC Systems Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.25236/icacel.2025.048","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-11T01:28:51Z","doi":"10.25236/icacel.2025.048","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2118/195766-ms","name":"How to Achieve Project and Operational Certainty Using a Digital Twin","source":"crossref","abstract":"Abstract A Digital Twin is a software representation of a facility which can be used to understand, predict, and optimize performance to help to achieve top performance and recover future operational losses. The Digital twin consists of three components: a process model, a set of control algorithms, and knowledge. Usually the time for commissioning a project exceeds the initial estimations, therefore delays in project completion are quite common. This is often because ICSS testing is done on a static system which does not account for how the system will react dynamically to certain scenarios such as start-ups and shutdowns. Issues such as configuration errors, loop behaviors, start-up over-rides, dead-lock inter-trips and sequence logic are difficult to predict and are impossible to anticipate during static testing. Such delays lead to higher costs and therefore reduced revenue. This paper aims to describe the most innovative approach to Project &amp; Operational Certainty, which addresses these issues by using a Digital Twin for commissioning support and training. One successful use of this approach was in the Culzean project, an ultra-high-pressure high temperature (UHP/HT) gas condensate development in the UK sector of the Central North Sea. A high-fidelity process model was built and fitted to the actual plant performance based on equipment data sheets. This was connected to ICSS database and graphics, offering a realistic environment, very close to the one offshore, which had the same look and feel for the operators. Dynamic tests conducted on the Digital Twin predicted issues on the real system, which enabled potential solutions to be tested, leading to a significant decrease in the time spent and cost during commissioning. All the operating procedures were dynamically tested, which enabled us to correct errors, saving time before First Gas. Additionally, all CRO (Control Room Operators) and field technicians were trained and made familiar with the system months in advance, aiming to avoid future unnecessary trips during First Gas. Finally, all the control loops were fine tuned in the Digital Twin and parameters were passed to off shore, to be used as first starting point. It is expected that these parameters will be very close to fine operational points, as the model used is high fidelity model and very close to real system offshore.","url":"https://doi.org/10.2118/195766-ms","authors":["Alistair Douglas","Vicente Rios"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-08-22T23:10:20Z","doi":"10.2118/195766-ms","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.6063887","name":"Targeted Digital Twin via Flow Map Learning and Its Application to Fluid Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6063887","authors":["Qifan Chen","Zhongshu Xu","Jinjin Zhang","Dongbin Xiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-12T11:44:22Z","doi":"10.2139/ssrn.6063887","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.21956/digitaltwin.18999.r27783","name":"Peer Review Report For: A digital twin enabled wearable device for customized healthcare [version 1; peer review: 1 not approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.18999.r27783","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T03:02:32Z","doi":"10.21956/digitaltwin.18999.r27783","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.21014/acta_imeko.v11i1.1085","name":"Digital Twin: a new perspective for cultural heritage management and fruition","source":"crossref","abstract":"&lt;p class=\"Abstract\"&gt;This paper describes the example of an interesting distance visit approach carried out during the COVID-19 emergency, applied to an underground oil-mill in the town of Gallipoli (Puglia, Italy). The limitations of access for people with disabilities and the complete closure of Italian museums during the emergency have suggested the development of an immersive platform, in the broader perspective of using the output in accordance to digital twin perspectives. Then a tool to support an innovative visit method has been realized: a virtual visit assisted by a real remote guide, hereinafter referred to as “Live-Guided Tour” with e-learning functionality. All this has been made possible starting from a three-dimensional model of an underground oil-mill, from which we extracted the stereoscopic scenes. The stereoscopy is very important for the overall success of the project, because this aspect influences the level of interest, the immersion and the ability to generate emotion and wonder. To the best of Author’s knowledge, this is the only system available today for a shared virtual visit for an inaccessible context, which implements many features of a VR visit in a multi-user and multi-platform environment.&lt;/p&gt;","url":"https://doi.org/10.21014/acta_imeko.v11i1.1085","authors":["Francesco Gabellone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-31T14:59:18Z","doi":"10.21014/acta_imeko.v11i1.1085","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.12688/digitaltwin.17807.1","name":"Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing","source":"crossref","abstract":"Background: The evolution of product expectations in the era of mass customization implies an improvement and a better control of individualized creation and production processes throughout the product lifecycle. The application of the digital twin (DT) seems to be a favoured solution in this context, but its study during the lifecycle of a product has only been partially evoked in the literature. Methods: The purpose of this state-of-the-art article is to identify current trends of applications of the digital twin concept in the literature under two main dimensions: its nature regarding the interaction structure between digital and physical objects (defined as: Pre-Digital Twin, digital model, digital shadow, and digital twin), but also its applications, along the product lifecycle (Design, Production, Operation, Disposal). To achieve this analysis a systematic literature review was carried out. The publications selection was based on the presence in this of a case of application of a digital twin with a focus in the Manufacturing sector. Within this review, 188 scientific papers were compiled and analyzed. Results: Results showed that although the term digital twin is widely used, the deployment of DT technologies in manufacturing is still at an early stage as most of the digital twin applications were in fact prototypes focused on the real-time observability of the physical system, either for optimization or predictive maintenance. Moreover, regarding the product lifecycle, most of the applications have been focused on the production and operational phases whereas those at the design and disposal phases are still limited. Conclusions: This paper presents an original approach to the study of digital twins, not focusing on a single application area or lifecycle phase but which aims to establish future perspectives on the use of digital twins along the lifecycle.","url":"https://doi.org/10.12688/digitaltwin.17807.1","authors":["Guillaume Pronost","Frédérique Mayer","Mauricio Camargo","Laurent Dupont"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-21T08:19:43Z","doi":"10.12688/digitaltwin.17807.1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1145/3808707.3808820","name":"Deep Learning-Based Digital Twin Framework for Real-Time Landscape Performance Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3808707.3808820","authors":["Xiaoyan Ma","Kexin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-02T07:55:28Z","doi":"10.1145/3808707.3808820","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1115/msec2022-85449","name":"Digital Twin-Based Tool State Prognosis Model for Drilling Machines","source":"crossref","abstract":"Abstract Digital Twin technology can be effectively employed for prognosis and predictive maintenance tasks by establishing interconnections between manufacturing equipment and its virtual counterpart. This paper presents the Tool State Prognosis (TSP) model based on Digital Twin philosophy to perceive the state of a twist drill during the drilling operation. The TSP model estimates the state of a twist drill viz. initial, intermediate, or worn during the operation rather than obtaining the precise wear value. The Digital Twin collects input information as time-series data by establishing an appropriate connection protocol with a drilling machine using vibration and acoustic emission sensors. The Root Mean Square (RMS) approach and Quadratic Support Vector Machine (QSVM) are employed for feature extraction and recognizing the twist drill status with Remaining Useful Life (RUL) prediction from the time-series data. The model also includes integrating a Human Machine Interface (HMI) unit for displaying tool status and RUL information to assist operators in tool replacement decisions. The developed model can be integrated as an edge-level solution with manual and CNC drilling machines without significant hardware changes for perceiving the status of a twist drill. The prediction abilities of the digital twin are corroborated by performing a set of drilling experiments for various cutting tool-workpiece combinations. The confusion matrices demonstrated the effectiveness and generalization abilities of the developed model by comparing predicted and actual classes for each combination. The developed Digital Twin model can quickly respond to tool status and failure with enhanced man-machine interactions and improved prognosis abilities for the drilling machines.","url":"https://doi.org/10.1115/msec2022-85449","authors":["Sunidhi Dayam","K. A. Desai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-30T18:18:18Z","doi":"10.1115/msec2022-85449","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.3860500","name":"Real-time Implementation of Digital Twin for Robot Based Production Line","source":"crossref","abstract":"With significant advancement in information technologies due to Industry 4.0, Digital Twin (DT) has gained increasing attention as it offers an enabling tool to realize digitally-driven and cloud-enabled production systems. The idea of DT involves the concrete realization of mirroring the physical entities in the virtual world. Given the nonlinear dynamics and uncertainty involved in production systems, the proper design, and adaptability of a DT model remain a challenge. To address this issue, the given study proposes a methodology to develop the DT model for production systems, mainly focusing on robot-based production lines. The implementation and validation of the model are carried through a case study within a Learning Factory that involves data extraction from a physical pick and place robotic production line and using it as an input for the virtual entity to determine and analyze lean process parameters such as cycle time and total lead time. The proposed study also facilitates Lean Industry 4.0 concepts. The gathered results show that DT technology not only enables remote monitoring but also improves the performance of the production system.","url":"https://doi.org/10.2139/ssrn.3860500","authors":["Rabiya Abbasi","Abraham Reyes Yanes","Emanuel Martinez Villanuera","Rafiq Ahmad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-11T08:18:32Z","doi":"10.2139/ssrn.3860500","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.5244692","name":"Micro-Entrepreneurs and the Twin Green and Digital Transitions. Does Financial Literacy Play a Role?","source":"crossref","abstract":"The digital and sustainable transitions are two strategic drivers of growth and innovation for micro, small and medium-sized enterprises. This is especially relevant for micro-firms, which lag significantly behind larger firms in these areas. Financial literacy can play a key role in guiding small entrepreneurs to make sound financial choices and make the twin transition successful. We exploit a survey conducted by the Bank of Italy in 2021 – involving about 2,000 non-financial firms with fewer than 10 employees – to investigate whether financial literacy acts as a driver for the twin transition. Through instrumental variable estimation, we find evidence of a causal link between financial literacy and both digitalization and engagement in sustainable activities.","url":"https://doi.org/10.2139/ssrn.5244692","authors":["Alessio D'Ignazio","Daniela Marconi","Massimiliano Stacchini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-07T07:33:26Z","doi":"10.2139/ssrn.5244692","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.6893779","name":"Governing What You Cannot See: How Retrofit Digital Twin Architectures Enable Data-driven Controlling and Assurance-grade ESG Reporting","source":"crossref","abstract":"Organisations have always operated under conditions of bounded rationality and imperfect information (Simon, 1947; March &amp;amp; Simon, 1958), and management control systems emerged as mechanisms to support decision-making under such conditions (Simons, 1995). What appears to be new, however, is that the incompleteness of information itself is gradually becoming traceable and governable through digital data architectures (Abraham et al., 2019; W3C, 2013). Against this background, this study pursues a rather simple question: how can companies build data systems that make ESG performance not only reportable, but also steerable? By this, I mean data that can be verified in real time, used within ordinary controlling cycles, and traced from a single sensor on the shop floor through to a KPI on a board-level slide. This paper is based on a qualitative case study of a retrofit IoT architecture (the Modbus Cloud Connect) developed within grandcentrix, an IoT subsidiary of the Vodafone Group. From this case study it derives the conceptual idea of the Green (Retrofit) Digital Twin (GRDT), a controlling-oriented architecture that connects existing operational systems to audit-ready ESG data without requiring a replacement of the underlying infrastructure. These relationships are summarised in the conceptual framework T × G × C → I (Technology × Governance × Controlling → Impact), the central idea of which is that impact collapses once governance fails, even when the underlying technology is highly advanced. The contribution is therefore positioned less as a study of sustainability reporting requirements, and more as a management control paper concerned with what happens once ESG data are treated with the same care that has long been afforded to financial data. From this case, six design principles are derived, which are then examined against a second case (ALMiG Kompressoren GmbH, 2022). Taken together, they describe a vendor-neutral path leading from a single meter through to an ESRS-aligned KPI and thereby offer a practical point of departure for companies seeking to build robust controlling structures around their sustainability data.","url":"https://doi.org/10.2139/ssrn.6893779","authors":["Christoph Biermeier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-16T16:03:32Z","doi":"10.2139/ssrn.6893779","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.19080/ecoa.2023.03.555622","name":"\"Urban Landscape Digital Twin Implementation Challenges: OpenUSD Ecosystem’s Solutions\"","source":"crossref","abstract":"","url":"https://doi.org/10.19080/ecoa.2023.03.555622","authors":["Igor Agbossou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-27T12:15:48Z","doi":"10.19080/ecoa.2023.03.555622","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.4995281","name":"Research on the Bolt-Tightening Process Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4995281","authors":["Yang Zhou","Ang Li","Jiacheng Zheng","Penghui Niu","Han Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-23T19:38:27Z","doi":"10.2139/ssrn.4995281","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.18690/um.fov.4.2024.52","name":"Enhancing Process Model Visualisation to Facilitate the Understanding of Stakeholders","source":"crossref","abstract":"Over the past forty years, the use of process models in practice has grown extensively. Until twenty years ago, remarkably little was known about the factors that contribute to the human understandability of process models in practice. Since then, research has, indeed, been conducted on this important topic, by e.g. creating guidelines. Unfortunately, the suggested modelling guidelines often fail to achieve the desired effects, because they are not tied to actual experimental findings. The need arises for knowledge on what kind of visualisation of process models is perceived as understandable, in order to improve the understanding of different stakeholders. Therefore the objective of this study is to answer the question: How can process models be visually enhanced so that they facilitate a common understanding by different stakeholders? Consequently, five sub-research questions (SRQ) will be discussed, covering three studies. By combining social psychology and process models we can work towards a more human-centred and empirical-based solution to enhance the understanding of process models by the different stakeholders with visualisation.","url":"https://doi.org/10.18690/um.fov.4.2024.52","authors":["Iris Mulder"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.52","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1115/1.0002911v","name":"Application of Digital Twin Concept for Supercritical CO2 Off-Design Performance and Operation Analyses","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0002911v","authors":["Maksym Burlaka","Olga Altukhova","Leonid Moroz","Tishun Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T18:56:49Z","doi":"10.1115/1.0002911v","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2514/6.2025-1471","name":"A Digital Twin for Insect Wing Aerodynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1471","authors":["Jinjiang Li","Lee Margetts","Mostafa R. Nabawy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-1471","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.21535/36bqby95","name":"Multi-Agent Simulation for Coordinated Aerial Surveillance using Digital Twin and SITL Framework","source":"crossref","abstract":"","url":"https://doi.org/10.21535/36bqby95","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-27T06:35:07Z","doi":"10.21535/36bqby95","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.19080/etoaj.2021.04.555628","name":"Digital Twin - A Key Technology driver in Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.19080/etoaj.2021.04.555628","authors":["Vijay Anant Athavale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-31T12:17:06Z","doi":"10.19080/etoaj.2021.04.555628","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.2139/ssrn.5179510","name":"Application of Combination of Digital Twin and Machine Learning in Production System Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5179510","authors":["Dingzhen Zhang","Zhiping Ni","Xiaoyan Quan","anon Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T02:41:36Z","doi":"10.2139/ssrn.5179510","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1111/beer.12698/v2/review1","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v2/review1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.1201/9781003483755-216","name":"Digital twin, BIM and asset management systems implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003483755-216","authors":["E. Spallarossa","A. Bonicelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-12T15:17:37Z","doi":"10.1201/9781003483755-216","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.22541/au.168055082.21298777/v1","name":"Application of Industry 4.0 and digital twin in the field of smart healthcare","source":"crossref","abstract":"Objective (study question): There is an increasing need for preventive health care as well as precise diagnosis and tailored treatment of different diseases in recent years. Providing customized treatment for each patient and maximizing accuracy and efficiency are main goals of a good healthcare system. The digital twin technology along with Industry 4.0 is being implemented in different industries nowadays. in many countries. It is showing significant improvements by maximizing efficiency, accuracy and reducing wastage in the system. It is also being evaluated and being started in the field of healthcare and the medical industry. This technology can offer innovative solutions for precise diagnosis, preventive health care and personalized treatments. Though there are challenges in data collection, data integration and accurate simulation at this stage, it is speculated that the digital twin will have an increasing foot fall and will be a new platform for health management systems and the medical industry. This article proposes a framework and configuration for using digital twin technology along with Industry 4.0 in health care applications. data sources/study setting (w/ hospital/institution setting anonymized), study design, data collection/extraction methods: A case study of this technology was also conducted by applying it on a human being and his health condition has been monitored online by using industry 4.0 technology i.e. using IOT sensors and collecting data on web real-time basis. principal findings: It is observed that preventive health care is becoming easy and accurate on a real-time basis . These data would be analyzed and conclusion can be drawn regarding the health condition of the patient and appropriate treatment can be given to him. Conclusion: It is obvious that in future, the generations to come will see the digital twin for every human being. As soon as a baby is born, its digital twin will be in cyber space and its healthcare will be looked after with the aid of this technology till its death. But the main challenge will be the privacy of people if it is implemented on a large scale.","url":"https://doi.org/10.22541/au.168055082.21298777/v1","authors":["Madhab Chandra Jena","Sarat Kumar Mishra","Himanshu Sekhar Moharana"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-03T15:40:26Z","doi":"10.22541/au.168055082.21298777/v1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"doi:10.20944/preprints202308.0135.v1","name":"Digital Twin Applications in Manufacturing Industry: A Case Study from a German  Multi-National","source":"preprints","abstract":"This article sets out to examine how digital twins have been used in a multi-national corporation, what technologies have been used, what benefits delivered and the significance of people and process related issues in achieving successful implementation. A qualitative, inductive research method is used, based on interviews provided by key personnel involved in three digital twin projects. The article concludes that digital twin projects are likely to involve incremental rather than disruptive change, and that successful implementation is usually underpinned by ensuring technology, people and process change factors are progressed in a balanced and integrated fashion. Building upon existing frameworks, three “properties” are identified as being of particular value in digital twin projects - workforce adaptability, technology manageability and process agility – and a related set of steps and actions is put forward as a template and point of reference for future digital twin implementations. The findings are a contribution to the developing theory around digital twins and digitalization in general, and are also of relevance to professionals embarking on DT projects.","url":"https://doi.org/10.20944/preprints202308.0135.v1","authors":["Martin Wynn","Jose Irizar"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202308.0135.v1","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"pmid:39856893","name":"Development and Optimization of a Real-Time Monitoring System of Small-Scale Multi-Purpose Juice Extractor.","source":"pubmed","abstract":"According to the concept of smart postharvest management, an information and communication technology sensor-based monitoring system is required in the juicing process to reduce losses and improve process efficiency. Such technologies are considered economically burdensome and technically challenging for small-scale enterprises to adopt. From this perspective, this study aimed to develop a smart monitoring system for the juicing processes in small-scale enterprises and to identify the optimal operating conditions based on the monitoring data. The system developed is equipped with two weight sensors attached to the twin-screw juice extractor, allowing for the automatic measurement of the weight of the raw material and the resulting juice product. The measured data are automatically transmitted and stored on a computer. Additionally, the system was designed to remotely control the speeds of the juicing and feeding screws, which are the primary controlling factors of the twin-screw juicer. Juice yield and processing time were optimized using carrots and pears. The optimal juicing and feeding speeds for pear yield were found to be 167.4 rpm and 1557 rpm, respectively; carrots achieved an optimal yield at a juicing speed of 502.2 rpm and feeding speed of 1211 rpm. In contrast, the processing time was minimized at juicing-feeding speeds of 6-6 and 7-5 for pears and carrots, respectively. Consequently, it was challenging to determine the optimal conditions for simultaneously optimizing the yield and processing time. This also suggests that the juicing process is affected by the properties of the fruits and vegetables being processed. By developing a system capable of accumulating the data necessary for the digitization of postharvest management and food processing, this research offers a valuable platform for the smart monitoring and optimization of the juicing process.","url":"https://pubmed.ncbi.nlm.nih.gov/39856893/","authors":["Kim TH","Jung JM","Lee WH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 13","doi":"10.3390/foods14020227","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39854816","name":"Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.","source":"pubmed","abstract":"Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requires precise information about the electrode position on the torso, especially for the personalized electrocardiogram (ECG) calibration. However, current studies commonly rely on additional acquisition of torso imaging and manual/semi-automatic methods for ECG electrode localization. In this study, we propose a novel and efficient topology-informed model to fully automatically extract personalized ECG standard electrode locations from 2D clinically standard cardiac MRIs. Specifically, we obtain the sparse torso contours from the cardiac MRIs and then localize the standard electrodes of 12-lead ECG from the contours. Cardiac MRIs aim at imaging of the heart instead of the torso, leading to incomplete torso geometry within the imaging. To tackle the missing topology, we incorporate the electrodes as a subset of the keypoints, which can be explicitly aligned with the 3D torso topology. The experimental results demonstrate that the proposed model outperforms the time-consuming conventional model projection-based method in terms of accuracy (Euclidean distance: 1.24&#xb1;0.293 cm vs. 1.48&#xb1;0.362 cm) and efficiency (2 s vs. 30-35 min). We further demonstrate the effectiveness of using the detected electrodes for in-silico ECG simulation, highlighting their potential for creating accurate and efficient CDT models. The code is available at https://github.com/lileitech/12lead_ECG_electrode_localizer.","url":"https://pubmed.ncbi.nlm.nih.gov/39854816/","authors":["Li L","Smith H","Lyu Y","Camps J","Qian S","Rodriguez B","Banerjee A","Grau V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.media.2025.103472","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39854065","name":"Exploring Health Educational Interventions for Children With Congenital Heart Disease: Scoping Review.","source":"pubmed","abstract":"Congenital heart disease (CHD) is the most common birth defect, affecting 40,000 births annually in the United States. Despite advances in medical care, CHD is often a chronic condition requiring continuous management and education. Effective care management depends on children's understanding of their condition. This highlights the need for targeted health educational interventions to enhance health literacy among children with CHD.","url":"https://pubmed.ncbi.nlm.nih.gov/39854065/","authors":["Barbazi N","Shin JY","Hiremath G","Lauff CA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 24","doi":"10.2196/64814","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39851816","name":"Epitome of the Region-Regional Nostalgia Design Based on Digital Twins.","source":"pubmed","abstract":"Nostalgic scenes can trigger nostalgia to a considerable extent and can be effectively used as a nostalgic trigger that contributes to the psychological comfort of the elderly and immigrant populations, but a design system has not been adequately studied. Therefore, the design principles and digital twin (DT) design system of nostalgic scenes is proposed in this study. It focuses on the construction of a nostalgic scene DT model based on the system of system (SoS) theory. Nostalgic scenes related to farm work are selected and photos of this DT model from a particular perspective are generated for presentation. Co-occurrence analysis is used to verify the correlation between elements within the scene. We invited two groups of residents in Xi'an, the regional group and the non-regional group, a total of 68 people, as participants to rate three photos with different degrees of design on the Likert scale. The results of data analysis show that systematic and well-composed nostalgic scene images, which incorporate relevant elements, are more likely to evoke participants' nostalgic emotions than ones without those elements mentioned above. Likewise, a series of nostalgic scene images spanning various periods can stimulate participants' nostalgic emotions more effectively than a single image. Furthermore, region-specific nostalgic scene images that resonate with participants sharing similar lifestyles can trigger their nostalgic feelings more effectively. The digital twin model of the nostalgia scene contains multi-source data, which can be dynamically visualised to represent regional nostalgic experiences. The design system can be used to design nostalgic scenes to improve emotional health, social bonding, tourism, and sustainable urban and rural development.","url":"https://pubmed.ncbi.nlm.nih.gov/39851816/","authors":["Chen L","Song Y","Niu X","Luan X","Yang L","Qin S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 27","doi":"10.3390/bs15010012","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39850467","name":"Enhancing engagement in parenting programs: A comparative study of in-person, online, and telehealth formats.","source":"pubmed","abstract":"Parenting programs are widely used to prevent and ameliorate children's emotional and behavioral problems but low levels of engagement undermine intervention effectiveness and reach within and beyond research settings. Technology can provide flexible and cost-effective alternate service-delivery formats for parenting programs, and studies are needed to assess the extent to which parents are willing to engage with digitally assisted formats.","url":"https://pubmed.ncbi.nlm.nih.gov/39850467/","authors":["Cai Q","Buchanan G","Simenec T","Lee SK","Basha SAJ","Gewirtz AH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Jul","doi":"10.1016/j.childyouth.2024.107686","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39848769","name":"Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins.","source":"pubmed","abstract":"Computational nuclear oncology for precision radiopharmaceutical therapy (RPT) is a new frontier for theranostic treatment personalization. A key strategy relies on the possibility to incorporate clinical, biomarker, image-based, and dosimetric information in theranostic digital twins (TDTs) of patients to move beyond a one-size-fits-all approach. The TDT framework enables treatment optimization by real-time monitoring of the real-world system, simulation of different treatment scenarios, and prediction of resulting treatment outcomes, as well as facilitating collaboration and knowledge sharing among health care professionals adopting a harmonized TDT. To this aim, the major social, ethical, and regulatory challenges related to TDT implementation and adoption have been analyzed. Methods: The artificial intelligence-dosimetry working group of the Society of Nuclear Medicine and Molecular Imaging is actively proposing, motivating, and developing the field of computational nuclear oncology, a unified set of scientific principles and mathematic models that describe the hierarchy of etiologic mechanisms involved in RPT dose response. The major social, ethical, and regulatory challenges to realize TDTs have been highlighted from the literature and discussed within the working group, and possible solutions have been identified. Results: This technology demands the implementation of advanced computational tools, harmonized and standardized collection of large real-time data, and modeling protocols to enable interoperability across institutions. However, current legislations limit data sharing despite TDTs' benefiting from such data. Although anonymizing data is often sufficient, ethical concerns may prevent sharing without patient consent. Approaches such as seeking ethical approval, adopting federated learning, and following guidelines can address this issue. Accurate and updated data input is crucial for reliable TDT output. Lack of reimbursement for data processing in treatment planning and verification poses an economic barrier. Ownership of TDTs, especially in interconnected systems, requires clear contracts to allocate liability. Complex contracts may hinder TDT implementation. Robust security measures are necessary to protect against data breaches. Cross-border data sharing complicates risk management without a global framework. Conclusion: A mechanism-based TDT framework can guide the community toward personalized dosimetry-driven RPT by facilitating the information exchange necessary to identify robust prognostic or predictive dosimetry and biomarkers. Although the future is bright, we caution that care must be taken to ensure that TDT technology is implemented in a socially responsible manner.","url":"https://pubmed.ncbi.nlm.nih.gov/39848769/","authors":["Strigari L","Schwarz J","Bradshaw T","Brosch-Lenz J","Currie G","El-Fakhri G","Jha AK","Mežinska S","Pandit-Taskar N","Roncali E","Shi K","Uribe C","Yusufaly T","Zaidi H","Rahmim A","Saboury B"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May 1","doi":"10.2967/jnumed.124.268186","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39847720","name":"INFORMING INTENSIVE CARE UNIT DIGITAL TWINS: DYNAMIC ASSESSMENT OF CARDIORESPIRATORY FAILURE TRAJECTORIES IN PATIENTS WITH SEPSIS.","source":"pubmed","abstract":"Understanding clinical trajectories of sepsis patients is crucial for prognostication, resource planning, and to inform digital twin models of critical illness. This study aims to identify common clinical trajectories based on dynamic assessment of cardiorespiratory support using a validated electronic health record data that covers retrospective cohort of 19,177 patients with sepsis admitted to intensive care units (ICUs) of Mayo Clinic Hospitals over 8-year period. Patient trajectories were modeled from ICU admission up to 14 days using an unsupervised machine learning two-stage clustering method based on cardiorespiratory support in ICU and hospital discharge status. Of 19,177 patients, 42% were female with a median age of 65 (interquartile range [IQR], 55-76) years, The Acute Physiology, Age, and Chronic Health Evaluation III score of 70 (IQR, 56-87), hospital length of stay (LOS) of 7 (IQR, 4-12) days, and ICU LOS of 2 (IQR, 1-4) days. Four distinct trajectories were identified: fast recovery (27% with a mortality rate of 3.5% and median hospital LOS of 3 (IQR, 2-15) days), slow recovery (62% with a mortality rate of 3.6% and hospital LOS of 8 (IQR, 6-13) days), fast decline (4% with a mortality rate of 99.7% and hospital LOS of 1 (IQR, 0-1) day), and delayed decline (7% with a mortality rate of 97.9% and hospital LOS of 5 (IQR, 3-8) days). Distinct trajectories remained robust and were distinguished by Charlson Comorbidity Index, The Acute Physiology, Age, and Chronic Health Evaluation III scores, as well as day 1 and day 3 SOFA ( P &lt; 0.001 ANOVA). These findings provide a foundation for developing prediction models and digital twin decision support tools, improving both shared decision making and resource planning.","url":"https://pubmed.ncbi.nlm.nih.gov/39847720/","authors":["Hou GY","Lal A","Schulte PJ","Dong Y","Kilickaya O","Gajic O","Zhong X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr 1","doi":"10.1097/SHK.0000000000002536","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39842575","name":"Flexible chitosan-graphene oxide-based biomacroporous cryogel via grafting cryopolymerization for selective recovery of myricetin from food sample.","source":"pubmed","abstract":"Myricetin has a significant role in pharmacology, specifically in traditional Chinese medicine. The most intriguing pharmacological action of myricetin consists of its multi-pathway anticancer effects. Therefore, rapid and selective isolation of myricetin from garlic and apple juices has notable pharmacological benefits. Chitosan-graphene oxide-based biomacroporous cryogel are highly efficient and environmentally friendly materials for adsorption. The current study involved the synthesis of chitosan-graphene oxide-based biomacroporous cryogel sorbent for the selective recovery of myricetin. The characterization investigation utilizing SEM, XRD, EDS and FTIR demonstrated the successful synthesis of a chitosan-graphene oxide-based biomacroporous cryogel. Additionally, XPS effectively revealed the interaction of functional groups on the biomacroporous cryogel sorbent with myricetin. The maximum adsorption capacity for myricetin, under optimized conditions, was 167&#xa0;mg&#xa0;g -1 in 60&#xa0;min. The equilibrium adsorption capacity was achieved at neutral pH with optimal parameters, and the Freundlich isotherm model was followed. The pseudo-second-order model presented better descriptions of the adsorption process. In addition, the chitosan-graphene oxide-based biomacroporous cryogel exhibited remarkable selectivity: due to involvement of two primary factors: the number of hydroxyl-groups and the fact that the extra hydroxyl group at position 5' in ring B allows for a more noticeable transfer of the unshared electron pair from oxygen to the &#x3c0; system of the B ring. The adsorption of myricetin decreases to 2&#xa0;% after three consecutive cycles, indicating the significant reusability of chitosan-graphene oxide-based biomacroporous cryogel. Additionally, the chitosan-graphene oxide based-biomacroporous cryogel that was produced has been utilized after one month and shown a comprehensive shelf-life. Typical adsorption mechanisms include hydrogen bonding and demonstrates significant potential for the efficient and specific isolation of myricetin in complex mixtures. Furthermore, the chitosan-graphene oxide-based biomacroporous cryogel demonstrated a significant rise in recovery of myricetin flavonoid in real samples of garlic and apple juices, rising from 99.66&#xa0;% to 114.29&#xa0;%.","url":"https://pubmed.ncbi.nlm.nih.gov/39842575/","authors":["Zeb S","Ding Z","Haleem A","Yu R","Zhao Y","Liu Z","Liu Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.ijbiomac.2025.140085","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39841540","name":"ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration.","source":"pubmed","abstract":"The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine life, call for the adoption of soft robotic approaches in marine exploration. To address this, we present a novel prototype, ZodiAq, a soft underwater drone inspired by prokaryotic bacterial flagella. ZodiAq's unique dodecahedral structure, equipped with 12 flagella-like arms, ensures design redundancy and compliance, ideal for navigating complex underwater terrains. The prototype features a central unit based on a Raspberry Pi, connected to a sensory system for inertial, depth, and vision detection, and an acoustic modem for communication. Combined with the implemented control law, it renders ZodiAq an intelligent system. This article details the design and fabrication process of ZodiAq, highlighting design choices and prototype capabilities. Based on the strain-based modeling of Cosserat rods, we have developed a digital twin of the prototype within a simulation toolbox to simplify analysis and control. To optimize its operation in dynamic aquatic conditions, a simplified model-based controller has been developed and implemented, facilitating intelligent and adaptive movement in the hydrodynamic environment. Extensive experimental demonstrations highlight the drone's potential, showcasing its design redundancy, embodied intelligence, crawling gait, and practical applications in diverse underwater settings. This research contributes significantly to the field of underwater soft robotics, offering a promising new avenue for safe, efficient, and environmentally conscious underwater exploration.","url":"https://pubmed.ncbi.nlm.nih.gov/39841540/","authors":["Mathew AT","Feliu-Talegon D","Abdullahi Adamu Y","Ben Hmida I","Armanini C","Stefanini C","Seneviratne L","Renda F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1089/soro.2024.0036","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39840199","name":"Enhancing Ophthalmic Care: The Transformative Potential of Digital Twins in Healthcare.","source":"pubmed","abstract":"This literature review explores the emerging role of digital twin (DT) technology in ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs integrate diverse data sources, including genetic, environmental, and real-time patient data, to create dynamic, predictive models that enhance risk assessment, surgical planning, and postoperative care. The review highlights vital case studies demonstrating the application of DTs in improving the early detection and management of diseases such as glaucoma and age-related macular degeneration. While implementing DTs presents challenges, including data integration and privacy concerns, the potential benefits, such as improved patient outcomes and cost savings, position DTs as a valuable tool in the future of ophthalmic care. The review underscores the need for further research to address these challenges and fully realize the potential of DTs in clinical practice.","url":"https://pubmed.ncbi.nlm.nih.gov/39840199/","authors":["Banoub RG","Sanghvi H","Gill GS","Paredes AA","Bains HK","Patel A","Agarwal A","Gupta S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.7759/cureus.76209","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39838360","name":"Patterns of pharmacological treatment in patients with atrial fibrillation: an analysis from the prospective GLORIA-AF Registry Phase III.","source":"pubmed","abstract":"Polypharmacy (i.e., treatment with&#x2009;&#x2265;&#x2009;5 drugs) is common in patients with atrial fibrillation (AF) and has been associated with suboptimal management and worse outcomes. Little is known about how prescribed drug patterns affect management and prognosis in patients with AF.","url":"https://pubmed.ncbi.nlm.nih.gov/39838360/","authors":["Corica B","Romiti GF","Boriani G","Olshansky B","Chao TF","Huisman MV","Proietti M","Lip GYH","GLORIA-AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 21","doi":"10.1186/s12916-025-03858-w","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39837001","name":"Distribution-based sub-population selection (DSPS): A method for in-silico reproduction of clinical trials outcomes.","source":"pubmed","abstract":"Diabetes presents a significant challenge to healthcare due to the short- and long-term complications associated with poor blood sugar control. Computer simulation platforms have emerged as promising tools for advancing diabetes therapy by simulating patient responses to treatments in a virtual environment. The University of Virginia Virtual Lab (UVLab) is a new simulation platform engineered to mimic the metabolic behavior of individuals with type 2 diabetes (T2D) using a mathematical model of glucose homeostasis in T2D and a large population of 6062 virtual subjects. This work proposes a statistical method - the Distribution-based sub-population selection (DSPS) method - for selecting subsets of virtual subjects from this large initial pool, ensuring that the selected group possesses the desired characteristics necessary to reproduce and predict the outcomes of a clinical trial. DSPS formulates the sub-population selection as a linear programming problem, identifying the largest virtual cohort to closely resemble the statistical properties (moments) of key outcomes from real-world clinical trials. The method was applied to the insulin degludec arm of a 26-week phase 3 clinical trial, evaluating the efficacy and safety of insulin degludec and liraglutide combination therapy. DSPS selected a sub-population that mirrored clinical trial data across key metrics, including glycemic efficacy, insulin dosages, and cumulative hypoglycemia events, with a relative sum of square errors of 0.33 and a percentage error of 1.07&#xa0;%. This approach bridges the gap between large population simulation platforms and clinical trials, enabling the selection of virtual sub-populations with specific properties required for targeted studies.","url":"https://pubmed.ncbi.nlm.nih.gov/39837001/","authors":["Ganji M","El Fathi A","Fabris C","Lv D","Kovatchev B","Breton M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.compbiomed.2025.109714","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39829453","name":"Coupled 4D Flow-Geomechanics Simulation to Characterize Dynamic Fracture Propagation in Tight Sandstone Reservoirs.","source":"pubmed","abstract":"Although China's low-permeability and tight oil reservoir utilization and newly proven reserves are growing annually, the overall recovery of such reservoirs is generally low. One of the main factors influencing the low recovery is the effect of intricate dynamic fracture propagations on the remaining oil distribution. Constrained by the evolution of an in situ stress field and the accumulation of fluid injection volumes, the growth of dynamic fractures allows a production profile of water breakthrough. To reveal this phenomenon, this paper systematically summarized the workflow of geoengineering integration and took the target block of an oil reservoir in the Changqing oilfield as an example. The numerical simulation model and geomechanical model of the reservoir were established, respectively, by using core analysis and rock mechanics experiments, and the simulation of dynamic fracture propagation under the control of flow-geomechanical coupling mechanisms was carried out. It is found that injection-induced fractures open and propagate under propulsion pressure until they link with natural fractures when the injection pressure surpasses the formation rupture pressure. The natural fractures become effective after long-term water injection and propagate until they connect to hydraulic fractures near a producing well. The study results on the dynamic fracture propagation process have theoretical and practical implications for the characterization of fractures, residual oil production, and water control techniques in tight sandstone reservoirs.","url":"https://pubmed.ncbi.nlm.nih.gov/39829453/","authors":["Pi Z","Hui G","Wang Y","Chen Z","Li J","Qin G","Meng F","Song Y","Yao F","Bao P","Li Y","Ge C","Zhang Y","Yang X","Zhang Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 14","doi":"10.1021/acsomega.4c09805","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39828717","name":"Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning.","source":"pubmed","abstract":"In chemistry, empirical paradigms prevail, especially within the realm of chromatography, where the selection of separation conditions frequently relies on the chemist's experience. However, the underlying rationale for such experiential knowledge has not been established or analysed. This study explicitly elucidates how chemists use thin-layer chromatography (TLC) to determine column chromatography (CC) conditions, employing statistical analysis and machine learning techniques. An experimental dataset of the CC is generated from the automatic platform developed in this study. On this basis, an \"artificial intelligence (AI) experience\" is generated through a knowledge discovery framework, where the relationship between the retardation factor (R F ) value from TLC and retention volume from CC is unveiled in the form of explicit equations. These equations demonstrate satisfactory accuracy and generalizability, providing a scientific basis for the selection of the experimental conditions, and contributing to a better understanding of chromatography.","url":"https://pubmed.ncbi.nlm.nih.gov/39828717/","authors":["Xu H","Wu W","Chen Y","Zhang D","Mo F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 19","doi":"10.1038/s41467-025-56136-x","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39827415","name":"Inhibiting Friction-Induced Exogenous Adhesion via Robust Lubricative Core-Shell Nanofibers for High-Quality Tendon Repair.","source":"pubmed","abstract":"Friction is the trigger cause for excessive exogenous adhesion, leading to the poor self-repair of the tendon. To address this problem, we developed electrospun dual-functional nanofibers with surface robust superlubricated performance and bioactive agent delivery to regulate healing balance by reducing exogenous adhesion and promoting endogenous healing. Coaxial electrospinning and our previous developed in situ robust nanocoating growth techniques were employed to create the lubricative/repairable core-shell structured nanofibrous membrane (L/R-NM). The L/R-NM shell featured a robust coating of the zwitterionic PMPC polymer for strong hydration lubrication to resist exogenous healing. The core could achieve sustained platelet-rich plasma release to promote endogenous healing. Friction tests and cell experiments confirmed L/R-NM's prominent lubricating properties and antiadhesive performance in vitro. Rat tendon injury model evaluation indicated that L/R-NM effectively promotes high-quality tendon repair by inhibiting friction-induced exogenous adhesion and promoting endogenous healing. Therefore, we believe that L/R-NM will open a unique novel horizon for tendon repair.","url":"https://pubmed.ncbi.nlm.nih.gov/39827415/","authors":["Cao X","Li J","Zhai W","Zhou B","Lin H","Wang Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 10","doi":"10.1021/acs.biomac.4c01729","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39827406","name":"Biology-inspired dynamic microphysiological system approaches to revolutionize basic research, healthcare and animal welfare.","source":"pubmed","abstract":"The regular t4 workshops on biology-inspired microphysiological systems (MPS) have become a reliable benchmark for assessing fundamental scientific, industrial, and regulatory trends in the MPS field. The 2023 workshop participants concluded that MPS technology as used in academia has matured significantly, as evidenced by the steadily increasing number of high-quality research publications, but that broad industrial adoption of MPS has been slow. Academic research using MPS is primarily aimed at accurately recapitulating human biology in MPS-based organ models to enable breakthrough discoveries. Examples of these developments are summarized in the report. In addition, we focus on key challenges identified during the previous workshop. Bridging gaps between academia, regulators, and industry is addressed. We also comment on overcoming bar&#xad;riers to trust and acceptance of MPS-derived data &#x2013; the latter being particularly important in a regulatory environment. The status of implementation of the recommendations detailed in the 2020 report was reviewed. It is concluded that communication between stakeholders has improved signif&#xad;icantly, while the recommendations related to regulatory acceptance still need to be implemented. Participants noted that the remaining challenges for increased translation of these technologies into industrial use and regulatory decision-making will require further efforts on well-defined context of use qualifications, together with increased standardization. This will make MPS data more reliable and ultimately make these novel tools more economically sustainable. The long-term roadmap from the 2015 workshop was critically reviewed and updated. Recommendations for the next period and an outlook conclude the report.","url":"https://pubmed.ncbi.nlm.nih.gov/39827406/","authors":["Marx U","Beken S","Chen Z","Dehne EM","Doherty A","Ewart L","Fitzpatrick SC","Griffith LG","Gu Z","Hartung T","Hickman J","Ingber DE","Ishida S","Jeong J","Leist M","Levin L","Mendrick DL","Pallocca G","Platz S","Raschke M","Smirnova L","Tagle DA","Trapecar M","van Balkom BWM","van den Eijnden-van Raaij J","van der Meer A","Roth A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.14573/altex.2410112","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.994Z"},{"id":"pmid:39826300","name":"Quantifying the influence of combined lung and kidney support using a cardiovascular model and sensitivity analysis-informed parameter identification.","source":"pubmed","abstract":"The combination of extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) pose complex hemodynamic challenges in intensive care. In this study, a comprehensive lumped parameter model (LPM) is developed to simulate the cardiovascular system, incorporating ECMO and CRRT circuit dynamics. A parameter identification framework based on global sensitivity analysis (GSA) and multi-start gradient-based optimization was developed and tested on 30 clinical data points from eight veno-arterial ECMO patients. To demonstrate feasibility, the model is used to analyze nine CRRT-ECMO connection schemes under varying flow conditions for a single patient. Our results indicate that CRRT has a notable impact on the cardiovascular system, with changes in pulmonary artery pressure of up to 203 %, highly dependent on ECMO flow. The GSA enabled the systematic and agnostic identification of a subset of model parameters used in the calibration process. The established parameter estimation framework is fast and robust, as no manual tuning of algorithm parameters is required, and achieves high correlations between simulation and experimental data with R 2 &#xa0;&gt;&#xa0;0.98. It uses modeling methods that could pave the way for real-time applications in intensive care. This open-source framework provides a valuable tool for the systematic evaluation of combined ECMO and CRRT, which can be used to develop standardized treatment protocols and improve patient outcomes in critical care. This model provides a good basis for addressing research questions related to mechanical circulatory and respiratory support and presents tools to help move towards a digital twin in healthcare.","url":"https://pubmed.ncbi.nlm.nih.gov/39826300/","authors":["Thiel JN","Costa AM","Wiegmann B","Arens J","Steinseifer U","Neidlin M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.compbiomed.2025.109668","addedAt":"2026-09-01T01:47:38.994Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39825103","name":"Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine.","source":"pubmed","abstract":"Digital twins in precision medicine provide tailored health recommendations by simulating patient-specific trajectories and interventions. We examine the critical role of Verification, Validation, and Uncertainty Quantification (VVUQ) for digital twins in ensuring safety and efficacy, with examples in cardiology and oncology. We highlight challenges and opportunities for developing personalized trial methodologies, validation metrics, and standardizing VVUQ processes. VVUQ frameworks are essential for integrating digital twins into clinical practice.","url":"https://pubmed.ncbi.nlm.nih.gov/39825103/","authors":["Sel K","Hawkins-Daarud A","Chaudhuri A","Osman D","Bahai A","Paydarfar D","Willcox K","Chung C","Jafari R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 17","doi":"10.1038/s41746-025-01447-y","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39825012","name":"Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.","source":"pubmed","abstract":"Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based on explicitly defined biological hypotheses and multiscale mechanisms is beneficial. It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39825012/","authors":["De Domenico M","Allegri L","Caldarelli G","d'Andrea V","Di Camillo B","Rocha LM","Rozum J","Sbarbati R","Zambelli F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 17","doi":"10.1038/s41746-024-01402-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39819973","name":"In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review.","source":"pubmed","abstract":"Integrating algorithm-based clinical decision support (CDS) systems poses significant challenges in evaluating their actual clinical value. Such CDS systems are traditionally assessed via controlled but resource-intensive clinical trials.","url":"https://pubmed.ncbi.nlm.nih.gov/39819973/","authors":["Dorosan M","Chen YL","Zhuang Q","Lam SWS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 16","doi":"10.2196/63875","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39817812","name":"Vaginal delivery of the second twin: simulation to improve trainee knowledge and comfort.","source":"pubmed","abstract":"Vaginal delivery in twins is feasible but challenging. Successful vaginal delivery of a non-vertex second twin depends on knowledge of specific obstetrical maneuvers. Skill acquisition at the patient's bedside is difficult, making simulation training an integral part of obstetrics and gynecology residency programs.","url":"https://pubmed.ncbi.nlm.nih.gov/39817812/","authors":["Celentano C","Iaccarino DA","Matarrelli B","Rosati M","Prefumo F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.23736/S2724-606X.24.05614-8","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39817504","name":"Number of Previous Strokes and the Association With Clinical Outcomes of Patients With Atrial Fibrillation: Longitudinal Data From the GLORIA-AF Registry.","source":"pubmed","abstract":"Patients with atrial fibrillation (AF) who suffered a previous stroke are at increased risk of recurrent thromboembolic events and other major outcomes. The impact of the number of stroke episodes on the natural history of patients with AF is still unclear.","url":"https://pubmed.ncbi.nlm.nih.gov/39817504/","authors":["Lam SHM","Romiti GF","Corica B","Bucci T","Olshansky B","Chao TF","Huisman MV","Lip GYH","GLORIA‐AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 21","doi":"10.1161/JAHA.124.038448","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39815013","name":"Digital twin assisted surgery, concept, opportunities, and challenges.","source":"pubmed","abstract":"Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to virtually replicate patient-specific interventions whilst providing real-time updates to clinicians. This perspective introduces the term Digital Twin-Assisted Surgery and discusses its potential to improve surgical precision and outcome, along with key challenges for successful clinical translation.","url":"https://pubmed.ncbi.nlm.nih.gov/39815013/","authors":["Asciak L","Kyeremeh J","Luo X","Kazakidi A","Connolly P","Picard F","O'Neill K","Tsaftaris SA","Stewart GD","Shu W"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 15","doi":"10.1038/s41746-024-01413-0","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39813148","name":"Air quality and the risk of acute atrial fibrillation (EP-PARTICLES study): a nationwide study in Poland.","source":"pubmed","abstract":"Air pollution remains the single largest environmental health risk factor, while atrial fibrillation (AF) is the most prevalent arrhythmia globally. The study aimed to investigate the relationship between short-term exposure to air pollution and acute AF admissions.","url":"https://pubmed.ncbi.nlm.nih.gov/39813148/","authors":["Kurasz A","Lip GYH","Święczkowski M","Tomaszuk-Kazberuk A","Dobrzycki S","Kuźma Ł"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Dec 23","doi":"10.1093/eurjpc/zwaf016","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39812692","name":"Development of a framework for the hemodynamic impact of positive end-expiratory pressure in normal and heart failure conditions.","source":"pubmed","abstract":"Positive end-expiratory pressure (PEEP) improves respiratory conditions. However, the complex interaction between PEEP and hemodynamics in patients with heart failure makes it challenging to determine appropriate PEEP settings. In this study, we developed a framework for the impact of PEEP on hemodynamics considering cardiac function, by integrating the impact of PEEP in the generalized circulatory equilibrium framework, and validated the framework by assessing its ability to accurately predict PEEP-induced hemodynamics. In eight dogs, PEEP was increased stepwise, and hemodynamic responses were measured under normal, volume-loaded, and myocardial infarction (MI)-induced heart failure conditions. For predicting hemodynamics under PEEP using the proposed framework, the PEEP-intrathoracic pressure (ITP) relationship was empirically established in dogs. Hemodynamic parameters were estimated at each PEEP level based on the hemodynamics recorded without PEEP. The parameters were then used to predict hemodynamics under various heart conditions. The predicted and measured values were compared. A stepwise increase in PEEP decreased arterial pressure (AP) and cardiac output (CO). Left atrial pressure (LAP) decreased in normal hearts but increased in MI hearts. Predicted AP [ R 2 , 0.92; root mean-squared error (RMSE), 6.3 mmHg], CO ( R 2 , 0.96; RMSE, 7.9 mL&#xb7;min -1 &#xb7;kg -1 ), and LAP ( R 2 , 0.92; RMSE, 2.3 mmHg) matched measured values with high accuracy, irrespective of volume status or heart condition. In conclusion, we developed a framework for the hemodynamic impact of PEEP considering cardiac function and demonstrated its validity. The results indicate that the effects of PEEP on hemodynamics can be explained primarily by ITP and are modulated by cardiac function. NEW &amp; NOTEWORTHY Positive end-expiratory pressure (PEEP) has both the benefit of improving respiratory status and the disadvantage of deteriorating hemodynamics. As the effects of PEEP vary depending on cardiac function, optimizing PEEP setting remains challenging. This study is the first to systematically elucidate the impact of PEEP on hemodynamics with consideration of cardiac function and establish a validated framework. This novel framework provides a comprehensive understanding of the hemodynamic effects of PEEP.","url":"https://pubmed.ncbi.nlm.nih.gov/39812692/","authors":["Nishikawa T","Uemura K","Matsushita H","Morita H","Sato K","Yoshida Y","Fukumitsu M","Kawada T","Saku K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 1","doi":"10.1152/ajpheart.00414.2024","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39812657","name":"Future Directions for Quantitative Systems Pharmacology.","source":"pubmed","abstract":"In this chapter, we envision the future of Quantitative Systems Pharmacology (QSP) which integrates closely with emerging data and technologies including advanced analytics, novel experimental technologies, and diverse and larger datasets. Machine learning (ML) and Artificial Intelligence (AI) will increasingly help QSP modelers to find, prepare, integrate, and exploit larger and diverse datasets, as well as build, parameterize, and simulate models. We picture QSP models being applied during all stages of drug discovery and development: During the discovery stages, QSP models predict the early human experience of in silico compounds created by generative AI. In preclinical development, QSP will integrate with non-animal \"new approach methodologies\" and reverse-translated datasets to improve understanding of and translation to the human patient. During clinical development, integration with complementary modeling approaches and multimodal patient data will create multidimensional digital twins and virtual populations for clinical trial simulations that guide clinical development and point to opportunities for precision medicine. QSP can evolve into this future by (1) pursuing high-impact applications enabled by novel experimental and quantitative technologies and data types; (2) integrating closely with analytical and computational advancements; and (3) increasing efficiencies through automation, standardization, and model reuse. In this vision, the QSP expert will play a critical role in designing strategies, evaluating data, staging and executing analyses, verifying, interpreting, and communicating findings, and ensuring the ethical, safe, and rational application of novel data types, technologies, and advanced analytics including AI/ML.","url":"https://pubmed.ncbi.nlm.nih.gov/39812657/","authors":["Schoeberl B","Musante CJ","Ramanujan S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1007/164_2024_737","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39810480","name":"Effect of Postoperative Neck-Shaft and Anteversion Angles on Biomechanical Outcomes in Proximal Femoral Osteotomy: An In Silico Study.","source":"pubmed","abstract":"Effective surgical planning is crucial for maximizing patient outcomes following complex orthopedic procedures such as proximal femoral osteotomy. In silico simulations can be used to assess how surgical variations in proximal femur geometry, such as femur neck-shaft and anteversion angles, affect postoperative system mechanics. This study investigated the sensitivity of femur mechanics to postoperative neck-shaft angles, anteversion angles, and osteotomy contact areas using patient-specific finite element analysis informed by neuromusculoskeletal models. A sequential neuromusculoskeletal modeling and finite element analysis pipeline was used to simulate postoperative mechanics in three pediatric patients with varying demographic and anatomic features. Nine surgical configurations derived from permutations of the clinical envelope of neck-shaft angles and anteversion angles were simulated for the stance phase of gait. The outcome mechanics assessed were peak von Mises stresses on the bone-implant contact surfaces as well as interfragmentary movement and strain on the osteotomy location. Peak von Mises stress and interfragmentary movement and strain were on average 38% more sensitive to surgical variation in neck-shaft angle compared to anteversion angle. A significant negative correlation was detected between contact area and interfragmentary movement (r&#x2009;=&#x2009;-0.90, p&#x2009;&lt;&#x2009;0.0001) and strain (r = -0.45, p = 0.017). Overall findings suggest neck-shaft angle significantly influences postoperative femur mechanics and highlight the importance of maximizing contact area to limit interfragmentary motion and foster an optimal mechanical environment for bone healing and callus formation following proximal femoral osteotomy. Between-patient variation in sensitivity to proximal femoral geometry reinforced the importance of patient-specific surgical planning.","url":"https://pubmed.ncbi.nlm.nih.gov/39810480/","authors":["Bavil AY","Eghan-Acquah E","Diamond LE","Barrett R","Bade D","Carty CP","Feih S","Saxby DJ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1002/jor.26043","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39809456","name":"Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.","source":"pubmed","abstract":"Tabular medical datasets, like electronic health records (EHRs), biobanks, and structured clinical trial data, are rich sources of information with the potential to advance precision medicine and optimize patient care. However, real-world medical datasets have limited patient diversity and cannot simulate hypothetical outcomes, both of which are necessary for equitable and effective medical research. Fueled by recent advancements in machine learning, generative models offer a promising solution to these data limitations by generating enhanced synthetic data. This review highlights the potential of conditional generative models (CGMs) to create patient-specific synthetic data for a variety of precision medicine applications. We survey CGM approaches that tackle two medical applications: correcting for data representation biases and simulating digital health twins. We additionally explore how the surveyed methods handle modeling tabular medical data and briefly discuss evaluation criteria. Finally, we summarize the technical, medical, and ethical challenges that must be addressed before CGMs can be effectively and safely deployed in the medical field.","url":"https://pubmed.ncbi.nlm.nih.gov/39809456/","authors":["Liu K","Altman RB"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Aug","doi":"10.1146/annurev-biodatasci-103123-094844","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39808665","name":"Optimal control of agent-based models via surrogate modeling.","source":"pubmed","abstract":"This paper describes and validates an algorithm to solve optimal control problems for agent-based models (ABMs). For a given ABM and a given optimal control problem, the algorithm derives a surrogate model, typically lower-dimensional, in the form of a system of ordinary differential equations (ODEs), solves the control problem for the surrogate model, and then transfers the solution back to the original ABM. It applies to quite general ABMs and offers several options for the ODE structure, depending on what information about the ABM is to be used. There is a broad range of applications for such an algorithm, since ABMs are used widely in the life sciences, such as ecology, epidemiology, and biomedicine and healthcare, areas where optimal control is an important purpose for modeling, such as for medical digital twin technology.","url":"https://pubmed.ncbi.nlm.nih.gov/39808665/","authors":["Fonseca LL","Böttcher L","Mehrad B","Laubenbacher RC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1371/journal.pcbi.1012138","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39808400","name":"Blockchain-enabled digital twin system for brain stroke prediction.","source":"pubmed","abstract":"A digital twin is a virtual model of a real-world system that updates in real-time. In healthcare, digital twins are gaining popularity for monitoring activities like diet, physical activity, and sleep. However, their application in predicting serious conditions such as heart attacks, brain strokes and cancers remains under investigation, with current research showing limited accuracy in such predictions. Moreover, concerns around data security and privacy continue to challenge the widespread adoption of these models. To address these challenges, we developed a secure, machine learning powered digital twin application with three main objectives enhancing prediction accuracy, strengthening security, and ensuring scalability. The application achieved an accuracy of 98.28% for brain stroke prediction on the selected dataset. The data security was enhanced by integrating consortium blockchain technology with machine learning. The results show that the application is tamper-proof and is capable of detecting and automatically correcting backend data anomalies to maintain robust data protection. The application can be extended to monitor other pathologies such as heart attacks, cancers, osteoporosis, and epilepsy with minimal configuration changes.","url":"https://pubmed.ncbi.nlm.nih.gov/39808400/","authors":["Upadrista V","Nazir S","Tianfield H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 14","doi":"10.1186/s40708-024-00247-6","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39805630","name":"The impact of clinical phenotypes of coronary artery disease on outcomes in patients with atrial fibrillation: A post-hoc analysis of GLORIA-AF registry.","source":"pubmed","abstract":"Coronary artery disease (CAD) and atrial fibrillation (AF) often coexist, but the impact of clinical phenotypes of CAD on outcomes in AF patients in the non-vitamin K antagonist oral anticoagulant drugs (NOACs) era is less well understood.","url":"https://pubmed.ncbi.nlm.nih.gov/39805630/","authors":["Huang B","Liu Y","Lam HM","Ishiguchi H","Chao TF","Huisman MV","Lip GYH","GLORIA‐AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1111/eci.14378","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39797015","name":"An Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis.","source":"pubmed","abstract":"Deep learning has performed well in feature extraction and pattern recognition and has been widely studied in the field of fault diagnosis. However, in practical engineering applications, the lack of sample size limits the potential of deep learning in fault diagnosis. Moreover, in engineering practice, it is usually necessary to obtain multidimensional fault information (such as fault localization and quantification), while current methods mostly only provide single-dimensional information. Aiming at the above problems, this paper proposes an Attention-based Multidimensional Fault Information Sharing (AMFIS) framework, which aims to overcome the difficulties of multidimensional bearing fault diagnosis in a small sample environment. Specifically, firstly, a shared network is designed to capture the common knowledge of the Fault Localization Task (FLT) and the Fault Quantification Task (FQT) and save it to the global feature pool. Secondly, two branching networks for performing FLT and FQT were constructed, and an attentional mechanism (AM) was used to filter out features from the shared network that were more relevant to the task to enhance the branching network's capability under small samples. Meanwhile, we propose an innovative Dynamic Adjustment Strategy (DAS) designed to adaptively regulate the training weights of FLT and FQT tasks to achieve optimal training results. Finally, extensive experiments are conducted in two cases to verify the effectiveness and superiority of AMFIS.","url":"https://pubmed.ncbi.nlm.nih.gov/39797015/","authors":["Hu Y","Xie Q","Yang X","Yang H","Zhang Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 3","doi":"10.3390/s25010224","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39796796","name":"Study on Few-Shot Fault Diagnosis Method for Marine Fuel Systems Based on DT-SViT-KNN.","source":"pubmed","abstract":"The fuel system serves as the core component of marine diesel engines, and timely and effective fault diagnosis is the prerequisite for the safe navigation of ships. To address the challenge of current data-driven fault-diagnosis-based methods, which have difficulty in feature extraction and low accuracy under small samples, this paper proposes a fault diagnosis method based on digital twin (DT), Siamese Vision Transformer (SViT), and K-Nearest Neighbor (KNN). Firstly, a diesel engine DT model is constructed by integrating the mathematical, mechanism, and three-dimensional physical models of the Medium-speed diesel engines of 6L21/31 Marine, completing the mapping from physical entity to virtual entity. Fault simulation calculations are performed using the DT model to obtain different types of fault data. Then, a feature extraction network combining Siamese networks with Vision Transformer (ViT) is proposed for the simulated samples. An improved KNN classifier based on the attention mechanism is added to the network to enhance the classification efficiency of the model. Meanwhile, a Weighted-Similarity loss function is designed using similarity labels and penalty coefficients, enhancing the model's ability to discriminate between similar sample pairs. Finally, the proposed method is validated using a simulation dataset. Experimental results indicate that the proposed method achieves average accuracies of 97.22%, 98.21%, and 99.13% for training sets with 10, 20, and 30 samples per class, respectively, which can accurately classify the fault of marine fuel systems under small samples and has promising potential for applications.","url":"https://pubmed.ncbi.nlm.nih.gov/39796796/","authors":["Li S","Qi L","Shi J","Xiao H","Da B","Tang R","Zuo D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 24","doi":"10.3390/s25010006","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39794807","name":"Patient-specific spine digital twins: a computational characterization of the idiopathic scoliosis.","source":"pubmed","abstract":"Scoliosis is an idiopathic three-dimensional spine strain. The orthopedic parameter used to diagnose and evaluate the severity of the strain is Cobb's angle. This study proposes using this clinical parameter to reproduce a digital twin of the spine, calculate biomechanical stress changes, and characterize idiopathic scoliosis deformity through symmetrical degeneration of intervertebral discs, relying on patient-specific radiological measurements of the scoliotic curves.","url":"https://pubmed.ncbi.nlm.nih.gov/39794807/","authors":["Landinez D","Rodríguez CF","Cifuentes De la Portilla C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 10","doi":"10.1186/s13018-024-05417-0","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39794235","name":"Digital twins for the plant sciences.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39794235/","authors":["Ganapathysubramanian B","Sarkar S","Singh A","Singh AK"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.tplants.2024.12.013","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39794017","name":"Retroperitoneal Müllerian cyst causing uterine protrusion in a teenage girl.","source":"pubmed","abstract":"To describe a rare case of a retroperitoneal M&#xfc;llerian cyst in a teenage girl with a protruding uterus and associated urogenital anomalies, and to discuss the challenges faced in differential diagnosis and management of such cases.","url":"https://pubmed.ncbi.nlm.nih.gov/39794017/","authors":["Chu FC","Wang HH","Chen YT","Chuang YC","Lo LM","Shaw SW"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1016/j.tjog.2023.11.014","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39792692","name":"A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications.","source":"pubmed","abstract":"This work proposes a fuel cell power supply system for underwater applications (e.g., autonomous underwater vehicles), where artificial gills, based on a polymer membrane,&#xa0;harvest the required oxygen from the ambient water. In this system, a circulating air-flow continuously supplies a proton exchange membrane fuel cell with oxygen, which is replenished using a polymer membrane. The membrane serves as the interface between the circulating air-flow and the ambient water, preventing water flux while allowing an oxygen flux across the membrane, driven by a partial oxygen pressure gradient. To demonstrate the feasibility of this concept, a prototype system was built based on guidelines derived from a mathematical model that was developed to describe the oxygen transfer process. A computational fluid dynamics model is developed and validated against the measurements from the prototype, resulting in a digital twin. The analysis indicates that the proposed power supply system has the potential to be superior to any battery-based solution currently available.","url":"https://pubmed.ncbi.nlm.nih.gov/39792692/","authors":["Merckelbach L","Georgopanos P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1002/advs.202410358","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39787751","name":"An ODE-based swift and dynamic sewer airflow model.","source":"pubmed","abstract":"Airflow models are powerful tools for ventilation design to achieve odour and corrosion mitigation in sewer networks. Currently, there lacks a model able to efficiently predict in-sewer dynamic airflows, as all available dynamic models with an acceptable accuracy are computationally demanding. In this study, a swift dynamic airflow model based on an ordinary differential equation (ODE) is derived by simplifying the one-dimensional Navier Stokes Equations (NSE), supported by the observation that the NSE solutions always display negligible spatial variations in air velocity when applied to a sewer conduit. The ODE model reproduces the NSE airflow predictions with a high-level fidelity, with time consumption reduced by two orders of magnitude. The ODE model was calibrated and validated using comprehensive datasets collected from a pilot sewer. The calibrated ODE model was applied to simulated sewer networks in both natural and forced ventilation scenarios, which demonstrates the accuracy, robustness, and efficiency of the model. The swift dynamic airflow model will provide strong support to effective sewer ventilation design for odour and corrosion management in sewers.","url":"https://pubmed.ncbi.nlm.nih.gov/39787751/","authors":["Shi T","Li J","Ge J","Watts S","Wang Y","Sharma K","Yuan Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr 1","doi":"10.1016/j.watres.2024.123083","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39787162","name":"DigiLoCS: A leap forward in predictive organ-on-chip simulations.","source":"pubmed","abstract":"Digital twins, driven by data and mathematical modelling, have emerged as powerful tools for simulating complex biological systems. In this work, we focus on modelling the clearance on a liver-on-chip as a digital twin that closely mimics the clearance functionality of the human liver. Our approach involves the creation of a compartmental physiological model of the liver using ordinary differential equations (ODEs) to estimate pharmacokinetic (PK) parameters related to on-chip liver clearance. The objectives of this study were twofold: first, to predict human clearance values, and second, to propose a framework for bridging the gap between in vitro findings and their clinical relevance. The methodology integrated quantitative Organ-on-Chip (OoC) and cell-based assay analyses of drug depletion kinetics and is further enhanced by incorporating an OoC-digital twin model to simulate drug depletion kinetics in humans. The in vitro liver clearance for 32 drugs was predicted using a digital-twin model of the liver-on-chip and in vitro to in vivo extrapolation (IVIVE) was assessed using time series PK data. Three ODEs in the model define the drug concentrations in media, interstitium and intracellular compartments based on biological, hardware, and physicochemical information. A key issue in determining liver clearance appears to be the insufficient drug concentration within the intracellular compartment. The digital twin establishes a connection between the hardware chip structure and an advanced mapping of the underlying biology, specifically focusing on the intracellular compartment. Our modelling offers the following benefits: i) better prediction of intrinsic liver clearance of drugs compared to the conventional model and ii)explainability of behaviour based on physiological parameters. Finally, we illustrate the clinical significance of this approach by applying the findings to humans, utilising propranolol as a proof-of-concept example. This study stands out as the biggest cross-organ-on-chip platform investigation to date, systematically analysing and predicting human clearance values using data obtained from various in vitro liver-on-chip systems. Accurate prediction of in vivo clearance from in vitro data is important as inadequate understanding of the clearance of a compound can lead to unexpected and undesirable outcomes in clinical trials, ranging from underdosing to toxicity. Physiologically based pharmacokinetic (PBPK) model estimation of liver clearance is explored. The aim is to develop digital twins capable of determining better predictions of clinical outcomes, ultimately reducing the time, cost, and patient burden associated with drug development. Various hepatic in vitro systems are compared and their effectiveness for predicting human clearance is investigated. The developed tool, DigiLoCs, focuses explicitly on accurately describing complex biological processes within liver-chip systems. ODE-constrained optimisation is applied to estimate the clearance of compounds. DigiLoCs enable differentiation between active biological processes (metabolism) and passive processes (permeability and partitioning) by incorporating detailed information on compound-specific characteristics and hardware-specific data. These findings signify a significant stride towards more accurate and efficient drug development methodologies.","url":"https://pubmed.ncbi.nlm.nih.gov/39787162/","authors":["Aravindakshan MR","Mandal C","Pothen A","Schaller S","Maass C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0314083","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39779771","name":"Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model.","source":"pubmed","abstract":"Power transformers play a crucial role in enabling the integration of renewable energy sources and improving the overall efficiency and reliability of smart grid systems. They facilitate the conversion, transmission, and distribution of power from various sources and help to balance the load between different parts of the grid. The Transformer Health Index (THI) is one of the most important indicators of ensuring their reliability and preventing unplanned outages. To this end, this study introduces a proposed new architecture called a Smart Electricity Monitoring System based on Fog Computing and Digital Twins (SEMS-FDT) for monitoring the health performance of transformers by measuring the THI rate in real time. The SEMS-FDT is specifically designed to enable the observation of the transformer's health and performance purposes in real time. The study investigates the role of machine learning (ML) models, including traditional and ensemble methods, in predicting THI and LI (Heat Load Index) by exploring the use of the entire set of features and optimized feature subsets for prediction. To improve the forecasting prediction process and achieve optimal performance a novel multitasks LSTM_GRU model is also proposed. The experimental results demonstrate that there is a promising performance of 2.543, 0.13646, 0.0284, and 0.985 for MSE, MAE, MedAE, and R2 scores respectively. Moreover, the framework is extended by incorporating model explanations, which include global explanations, which provide insights based on the entire dataset, and local explanations, which offer instance-specific explanations. The integration of the proposed model and explainability features provides engineers with comprehensive outcomes regarding the model's result.","url":"https://pubmed.ncbi.nlm.nih.gov/39779771/","authors":["El-Rashidy N","Sultan YA","Ali ZH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 8","doi":"10.1038/s41598-024-83220-x","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39778287","name":"A cognitive digital twin approach to improving driver compliance and accident prevention.","source":"pubmed","abstract":"Advanced Driver Assistance Systems (ADAS) are crucial for enhancing driving safety by alerting drivers to unrecognized risks. However, traditional ADAS often fail to account for individual decision-making processes, including drivers' perceptions of the environment and personal driving styles, which can lead to non-compliance with the provided assistance. This paper introduces a novel Cognitive-Digital-Twin-based Driving Assistance System (CDAS), leveraging a personalized driving decision model that dynamically updates based on the driver's control and observation actions. By incorporating these individual behaviors, CDAS can tailor its assistance options to predict and adapt to the driver's responses across various scenarios, ensuring both the necessity and safety of its interventions. Through two comprehensive experimental validations, we demonstrate that the cognitive digital twin (CDT) closely aligns with actual driver observation behaviors. By incorporating additional driver observation actions - an input not readily leveraged by data-driven methods without large annotated datasets - the CDT also achieves superior lane-changing predictions compared to deep learning classifiers relying solely on environmental states. Furthermore, CDAS significantly outperforms traditional ADAS in terms of risk reduction and user acceptance, showcasing its potential to enhance driving safety and adaptability effectively. These findings suggest that CDAS represents a substantial advancement towards more personalized and effective driving assistance.","url":"https://pubmed.ncbi.nlm.nih.gov/39778287/","authors":["Gu Y","Li S","Qi J","Fu B","Tang R","Yang L","Tian S","Jiang Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.aap.2024.107913","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39778199","name":"Digital Twins for Clinical and Operational Decision-Making: Scoping Review.","source":"pubmed","abstract":"The health care industry must align with new digital technologies to respond to existing and new challenges. Digital twins (DTs) are an emerging technology for digital transformation and applied intelligence that is rapidly attracting attention. DTs are virtual representations of products, systems, or processes that interact bidirectionally in real time with their actual counterparts. Although DTs have diverse applications from personalized care to treatment optimization, misconceptions persist regarding their definition and the extent of their implementation within health systems.","url":"https://pubmed.ncbi.nlm.nih.gov/39778199/","authors":["Riahi V","Diouf I","Khanna S","Boyle J","Hassanzadeh H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 8","doi":"10.2196/55015","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39777066","name":"A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring.","source":"pubmed","abstract":"Objective: Digital twins (DTs) emerged in the wake of Industry 4.0 and the creation of cyber-physical systems, motivated by the increased availability and variability of machine and sensor data. DTs are a concept to create a digital representation of a physical entity and imitate its behavior, while feeding real-world data to the digital counterpart, thus allowing enabling digital simulations related to the real-world entity. The availability of new data sources raises the potential for developing structured approaches for prediction and analysis. Similarly, in the field of medicine and digital healthcare, the collection of patient-focused data is rising. Medical DTs, a new concept of structured, exchangeable representations of knowledge, are increasingly used for capturing personal health, targeting specific illnesses, or addressing complex healthcare scenarios in hospitals. Methods: This article surveys the current state-of-the-art in applying DTs in healthcare, and how these twins are generated to support smart, personalized medicine. These concepts are applied to a DT for a simulated health-monitoring scenario. Results: The DT use case is implemented using AnyLogic multi-agent simulation, monitoring the patient's personal health indicators and their development. Conclusion: The results indicate both possibilities and challenges and provide important insights for future DT implementations in healthcare. They have the potential to optimize healthcare in various ways, such as providing patient-centered health-monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/39777066/","authors":["Nadeem M","Kostic S","Dornhöfer M","Weber C","Fathi M","Mubaris Nadeem","Sascha Kostic","Mareike Dornhöfer","Christian Weber","Madjid Fathi"],"tags":["Scope (computer science)","Health care","Digital health","Implementation","Computer science"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan-Dec","doi":"10.1177/20552076241304078","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"pmid:39775146","name":"Digital-twin driven alignment control method for marine shafting with air spring vibration isolation system.","source":"pubmed","abstract":"Shafting alignment is crucial for marine propulsion systems and may affect the safety and stability of ship operations. Air spring vibration isolation systems (ASVISs) for marine shafting can help control the shafting alignment state by actively adjusting air spring pressures while effectively reducing the mechanical noise. However, how to accurately control the alignment state of marine shafting with air spring vibration isolation system remains a challenge. To address this issue, a digital twin (DT)-driven alignment control method is proposed in this paper. First, we design a digital twin prediction model based on the neural network to describe the data mapping relationship between the air spring pressures and shafting alignment state. Then, based on the prediction model, we transform the shafting alignment control problem into a non-linear optimization problem in which our objective is to minimize the alignment error while balancing the load on different air springs. To obtain the optimal air spring pressures, the genetic algorithm is introduced to solve the optimization problem, fully exploiting its global search capacity. Moreover, in order to achieve the optimized pressures, a soft-constrained controller based on proportional-integral-derivative (PID) algorithm is developed to accurately generate specific control policies based on the monitoring data. Finally, the feasibility and the effectiveness of the proposed alignment control method is verified with a real ASVIS.","url":"https://pubmed.ncbi.nlm.nih.gov/39775146/","authors":["Liu S","Shi L","Xu W","Hu Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 7","doi":"10.1038/s41598-025-85196-8","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39774745","name":"Research on detection and treatment of loose zones in weak fracture zone tunnel.","source":"pubmed","abstract":"Determining the extent of tunnel loosening zones is a crucial factor in establishing reasonable support parameters. Addressing the challenge of testing tunnel loosening zones, this study focused on the Dongmachang Tunnel No. 1. Seismic wave methods are employed to test the tunnel's surrounding rock loosening zones. The results are processed using the reflection wave method, and the average wave velocity method is proposed as a standard for determining the loosening zone range. Subsequently, the surface wave method is utilized to process seismic wave data, validating the accuracy of the seismic wave method. Furthermore, a more precise range of the surrounding rock loosening zone is determined based on single hole acoustic method, and theoretical calculations. The obtained results align with the loosening zone range as determined by the average wave velocity method. Finally, a novel high-performance concrete lining structure is introduced for rehabilitating tunnel sections with significant deformations. The effectiveness of this new high-performance concrete lining structure is investigated through numerical simulations and on-site application. The study outcomes present new methodologies and technological support for determining tunnel surrounding rock loosening zones.","url":"https://pubmed.ncbi.nlm.nih.gov/39774745/","authors":["Zheng X","Huang F","Wang S","Zeng Z","Chen S","Xu W"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 7","doi":"10.1038/s41598-024-83718-4","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39771836","name":"Research on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin.","source":"pubmed","abstract":"Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces. By a virtual engine and digital twins, this study put forward a visualization monitoring and control system framework which can address the difficulties in the intelligent factories while managing a variety of data sources, such as virtual-real integration, real-time feedback, and other issues. To develop a more realistic dynamic model for the robots, we presented a neural-network-based compensation technique for the nonlinear dynamic model parameters of outdoor mobile robots. A physical prototype was applied in the experiments, and the results showed that the system is capable of controlling and monitoring outdoor mobile robots online with good visualization effects and high real-time performance. By boosting the positional accuracy of robots by 18% when navigating obstacles, the proposed precise kinematic model can increase the inspection efficiency of robots. The visualization monitoring and control system enables visual, digital, multi-method, and complete real-time inspections in high-risk factories, such as new energy battery factories, to ensure the safe and stable operations.","url":"https://pubmed.ncbi.nlm.nih.gov/39771836/","authors":["Li R","Shang X","Wang Y","Liu C","Song L","Zhang Y","Gu L","Zhang X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3390/s24248101","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39771790","name":"Digital Twin-Assisted Lightpath Provisioning and Nonlinear Mitigation in C+L+S Multiband Optical Networks.","source":"pubmed","abstract":"Multiband (MB) optical transmission targets increasing the capacity of operators' optical transport networks. However, nonlinear impairments (NLI) affect each optical channel in the C+L+S bands differently, and, therefore, the routing and spectrum assignment (RSA) problem needs to be complemented with fast and accurate tools to consider the quality of transmission (QoT) within the provisioning process. This paper proposes a digital twin-assisted approach for lightpath provisioning to provide a complete solution for the RSA problem that ensures the required QoT in MB optical networks. The OCATA time domain digital twin is proposed, not only to estimate the QoT of a selected path but also to support the QoT-based channel assignment process. OCATA is based on a Deep Neural Network (DNN) to model the propagation of the optical signal. However, because of the different impacts of nonlinear noise on each channel and the large number of channels that need to be considered in C+L+S MB scenarios, OCATA needs to be adapted to make it scalable, while keeping its high accuracy and fast QoT estimation characteristics. In consequence, a complete methodology is proposed in this work that limits the number of channels being modeled to just a few. Moreover, OCATA-MB helps to mitigate NLI noise by programming the receiver at the provisioning time and thus with very little complexity compared to its equivalent implemented during the operation. NLI noise mitigation can be applied in the case when a lightpath cannot be provisioned because none of the available channels can provide the required QoT, making it an advantageous tool for reducing connection blocking. Exhaustive simulation results demonstrate the remarkable accuracy of OCATA-MB in estimating the QoT for any channel. Interestingly, by utilizing the proposed OCATA-MB-assisted lightpath provisioning approach, a reduction of the blocking ratio exceeding 50% when compared to traditional approaches is shown when NLI noise mitigation is not applied. If NLI mitigation is implemented, an additional over 50% blocking reduction is achieved.","url":"https://pubmed.ncbi.nlm.nih.gov/39771790/","authors":["Ghasrizadeh S","Khare P","Costa N","Ruiz M","Napoli A","Pedro J","Velasco L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 17","doi":"10.3390/s24248054","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39771255","name":"Effects of Cyclic Aeration Subsurface Drip Irrigation on Greenhouse Tomato Quality and Water and Fertilizer Use Efficiency.","source":"pubmed","abstract":"Tomato (Jinglu 6335) was selected for assessing the impact of varying fertilizer (F:N-P 2 O 5 -K 2 O) and aeration rates on crop quality, as well as water and fertilizer utilization efficiency during the cyclic aeration subsurface drip irrigation process. Four aeration treatments (O1, O2, O3, and S, representing aeration ratios of 16.25%, 14.58%, 11.79%, and non-aerated treatment, respectively) and three fertilizer applications (F1: 240-120-150 kg/hm 2 , F2: 180-90-112.5 kg/hm 2 , F3: 120-60-75 kg/hm 2 ) were compared in a total of 12 treatments in this study. This study revealed that cyclic aerated drip irrigation improved the fruit quality. The aerated treatment resulted in increased accumulation of nitrogen, phosphorus, and potassium, with the level of aeration positively correlating with the increase in nutrient accumulation, reaching the highest values in the high aeration irrigation treatment. The highest nitrogen, phosphorus, potassium, and water use efficiency occurred under the medium fertilizer with high aeration treatment. The maximum partial productivity of the fertilizer occurred under the low fertilizer with high aeration treatment, while the minimum occurred in the high fertilizer with non-aerated treatment. Taking all factors into consideration, the high-aeration and medium-fertilizer treatment was the most effective combination for greenhouse tomatoes under the conditions in this experiment.","url":"https://pubmed.ncbi.nlm.nih.gov/39771255/","authors":["Liu Z","Long K","Zeng J","Zhang Y","Shi Q","Hui B","Zhang P","Papadakis G","Zhang Q"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 20","doi":"10.3390/plants13243559","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39770270","name":"Hollow Fiber Microreactor Combined with Digital Twin to Optimize the Antimicrobial Evaluation Process.","source":"pubmed","abstract":"In order to reproduce pharmacokinetics (PK) profiles seen in vivo, the Hollow Fiber Infection Model (HFIM) is a useful in vitro module in the evaluation of antimicrobial resistance. In order to reduce the consumption of culture medium and drugs, we developed a hollow fiber microreactor applicable to the HFIM by integrating the HFIM function. Next, we constructed a novel control method by using the \"digital twin\" of the microreactor to achieve precise concentration control. By integrating functions of the HFIM, the extra-capillary space volume was reduced to less than 1/10 of conventional HFIM. The control method with the digital twin can keep drug concentration in the extra-capillary space within an error of 10% under simulated drug destruction. The control method with the digital twin can also stabilize the drug concentration both in the intra-capillary space and the extra-capillary space within 15 min.","url":"https://pubmed.ncbi.nlm.nih.gov/39770270/","authors":["Noda K","Kasama T","Shinohara M","Hamada M","Matsunaga YT","Takai M","Ishii Y","Miyake R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 20","doi":"10.3390/mi15121517","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39770215","name":"A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR.","source":"pubmed","abstract":"Distinguished by its exceptional sensitivity and specificity, Polymerase Chain Reaction (PCR) is a pivotal technology for pathogen detection. However, traditional PCR instruments that employ thermoelectric cooling (TEC) are often constrained by cost, efficiency, and performance variability resulting from the fluctuations in ambient temperature. Here, we present a thermal cycler that utilizes electromagnetic induction heating at 50 kHz and anti-freezing water cooling with a velocity of 0.06 m/s to facilitate rapid heating and cooling of the PCR reaction chamber, significantly enhancing heat transfer efficiency. A multi-physics theoretical heat transfer model, developed using the digital twin approach, enables precise temperature control through advanced algorithms. Experimental results reveal average heating and cooling rates of 14.92 &#xb0;C/s and 13.39 &#xb0;C/s, respectively, significantly exceeding those of conventional methods. Compared to commercial PCR instruments, the proposed system further optimizes cost, efficiency, and practicality. Finally, PCR experiments were successfully performed using cDNA (Hepatitis B virus) at various concentrations.","url":"https://pubmed.ncbi.nlm.nih.gov/39770215/","authors":["Xie Y","Jiang Q","Chang C","Zhao X","Yong H","Ke X","Wu Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 30","doi":"10.3390/mi15121462","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39769671","name":"Characterization of the Optical Properties of Photoluminescent Turbid Media Using an Integrating Sphere and Monte Carlo Simulations.","source":"pubmed","abstract":"In this paper, we report on the measurement of the optical properties (absorption and scattering coefficients) of photoluminescent turbid media using a homemade integrating sphere setup equipped with a tunable monochromatic light source. The hemispherical reflectance and transmission data are analyzed with the radiative transfer equation using a Monte Carlo simulation-based lookup table to obtain the optical properties of the sample. The results are compared with the optical properties received from a classical integrating sphere setup equipped with a broadband white light source. The additional light of the photoluminescence generates artifacts within the optical properties, which are not present using a monochromatic light source. Additionally, a batch of samples with a broad range of scattering coefficients and dye concentrations were prepared and characterized with the aforementioned setup. The findings can help to generate a digital twin with the optical properties of the sample, which improves the physically based rendering and the design of, e.g., white-light LEDs. Dental restoration and photodynamic therapy also benefit from determination of the optical properties of photoluminescent turbid media.","url":"https://pubmed.ncbi.nlm.nih.gov/39769671/","authors":["Jelken J","Brall T","Gelbing P","Foschum F","Kienle A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 12","doi":"10.3390/ma17246072","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39768784","name":"Digital Twins Use in Plastic Surgery: A Systematic Review.","source":"pubmed","abstract":"Background/Objectives: Digital twin technology, initially developed for engineering and manufacturing, has entered healthcare. In plastic surgery, digital twins (DTs) have the potential to enhance surgical precision, personalise treatment plans, and improve patient outcomes. This systematic review aims to explore the current use of DTs in plastic surgery and evaluate their effectiveness, challenges, and future potential. Methods: A systematic review was conducted by searching PubMed, Scopus, Web of Science, and Embase databases from their infinity to October 2024. The search included terms related to digital twins and plastic surgery. Studies were included if they focused on applying DTs in reconstructive or cosmetic plastic surgery. Data extraction focused on study characteristics, technological aspects, outcomes, and limitations. Results: After 110 studies were selected for screening, 9 studies met the inclusion criteria, covering various areas of plastic surgery, such as breast reconstruction, craniofacial surgery, and microsurgery. DTs were primarily used in preoperative planning and intraoperative guidance, with reported improvements in surgical precision, complication rates, and patient satisfaction. However, challenges such as high costs, technical complexity, and the need for advanced imaging and computational tools were frequently noted. Limited research exists on using DTs in postoperative care and real-time monitoring. Conclusions: This systematic review highlights the potential of digital twins to revolutionise plastic surgery by providing personalised and precise surgical approaches. However, barriers such as cost, complexity, and ethical concerns must be addressed. Future research should focus on validating clinical outcomes through large-scale studies and developing soft tissue modelling and real-time monitoring capabilities.","url":"https://pubmed.ncbi.nlm.nih.gov/39768784/","authors":["Seth I","Lim B","Lu PYJ","Xie Y","Cuomo R","Ng SK","Rozen WM","Sofiadellis F","Ishith Seth","Bryan Lim","P. Lu","Yi Xie"],"tags":["Medicine","Plastic surgery","Scopus","Data extraction","MEDLINE"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3390/jcm13247861","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39764883","name":"Reliable and streamlined model setup for digital twin assessment of fracture healing.","source":"pubmed","abstract":"In large animal models of bone fracture repair, postmortem torsional testing is commonly used to assess healing biomechanics. Bending and axial tests are physiologically relevant, but much less commonly performed. Virtual torsional testing using image-based finite element models has been validated to postmortem bench tests, but its predictive value for capturing whole-bone mechanics and fracture healing quality under other physiologically relevant loading modes has not yet been established. Accordingly, the purpose of this study was to evaluate the association between mechanical biomarkers derived from virtual torsion, axial, and bending tests under strict alignment and malalignment conditions. Computed tomography (CT) scans from 24 intact and operated sheep tibiae and 29 human tibial fractures were used to create digital twins that were subjected to torsion, axial, and bending tests. The results indicated that torsional rigidity is a strong surrogate for bending flexural rigidity in both ovine and human bones. Torsional rigidity and axial stiffness were strongly correlated in the ovine data, but only moderately in human fractures due to the complex fracture patterns. Axial testing was highly prone to stiffness estimation errors as high as 50% if the applied load and anatomic axis were not perfectly aligned. In contrast, torsional rigidity had errors &lt;1.3% for all malalignment scenarios. Based on this study, virtual torsional rigidity is the recommended summary mechanical biomarker of bone healing because it captures variations in healing biomechanics that are present in other loading modes with a simple setup that is insensitive to alignment error.","url":"https://pubmed.ncbi.nlm.nih.gov/39764883/","authors":["Bahrami M","Frew K","Hughes J","Dailey HL"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.jbiomech.2025.112492","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39763060","name":"Transforming precision medicine: The potential of the clinical artificial intelligent single-cell framework.","source":"pubmed","abstract":"The editorial, \"Clinical and translational mode of single-cell measurements: An artificial intelligent single-cell,\" introduces the innovative clinical artificial intelligence single-cell (caiSC) system, which merges AI with single-cell informatics to advance real-time diagnostics, disease monitoring, and treatment prediction. By combining clinical data and multimodal molecular inputs, caiSC facilitates personalized medicine, promising enhanced diagnostic precision and tailored therapeutic approaches. Despite its potential, caiSC lacks comprehensive data coverage across cell types and diseases, presenting challenges in data quality and model robustness. The article explores development strategies such as data expansion, machine learning advancements, and interpretability improvements. Future applications of caiSC could include digital cell twins, offering in-depth simulations of cellular behavior to support drug discovery and personalized treatments. Regulatory considerations are discussed, underscoring the need for SaMD/AIaMD certifications for clinical use. Ultimately, with further refinement, caiSC could transform clinical decision-making, driving personalized, precision medicine, and improved patient outcomes. KEY POINTS: Integration of AI with Single-Cell Informatics for Precision Medicine: The caiSC system combines artificial intelligence and single-cell data to improve diagnostics, treatment predictions, and personalized medical decision-making. Challenges in Data Coverage and Model Robustness: caiSC currently faces limitations due to incomplete data across cell types, diseases, and organs, as well as challenges in data quality and high computational demands, which affect model accuracy and clinical applicability. Future Potential and Regulatory Needs: The caiSC framework's development could lead to innovations such as digital cell twins, enabling personalized simulations of cellular responses for better treatment planning, though regulatory certification is essential for safe clinical use.","url":"https://pubmed.ncbi.nlm.nih.gov/39763060/","authors":["Baumgartner C","Brislinger D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1002/ctm2.70096","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39761649","name":"Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins.","source":"pubmed","abstract":"Objective. This study aims to develop a digital twin (DT) framework to achieve adaptive proton prostate stereotactic body radiation therapy (SBRT) with fast treatment plan selection and patient-specific clinical target volume (CTV) setup uncertainty. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes. This study seeks to address these uncertainties using DT concept to improve treatment quality. Approach . A retrospective study on two-fraction prostate proton SBRT was conducted, involving a cohort of 10 randomly selected patient cases from an institutional database ( n = 43). DT-based treatment plans were developed using patient-specific CTV setup uncertainty, determined through machine learning predictions. Plans were optimized using pre-treatment CT and corrected cone-beam CT (cCBCT). The cCBCT was corrected for CT numbers and artifacts, and plan evaluation was performed using cCBCT to account for actual patient anatomy. The ProKnow scoring system was adapted to determine the optimal treatment plans. Main Results. Average CTV D98 values for original clinical and DT-based plans across 10 patients were 99.0% and 98.8%, with hot spots measuring 106.0% and 105.1%. Regarding bladder, clinical plans yielded average bladder neck V100 values of 29.6% and bladder V20.8 Gy values of 12.0cc, whereas DT-based plans showed better sparing of bladder neck with values of 14.0% and 9.5cc. Clinical and DT-based plans resulted in comparable rectum dose statistics due to SpaceOAR. Compared to clinical plans, the proposed DT-based plans improved dosimetry quality, improving plan scores ranging from 2.0 to 15.5. Significance. Our study presented a pioneering approach that leverages DT technology to enhance adaptive proton SBRT, potentially revolutionizing prostate radiotherapy to offer personalized treatment solutions using fast adaptive treatment plan selections and patient-specific setup uncertainty. This research contributes to the ongoing efforts to achieve personalized prostate radiotherapy.","url":"https://pubmed.ncbi.nlm.nih.gov/39761649/","authors":["Chang CW","Tian Z","Qiu RLJ","Scott Mcginnis H","Bohannon D","Patel P","Wang Y","Yu DS","Patel SA","Zhou J","Yang X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 17","doi":"10.1088/1361-6560/ada684","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39761255","name":"Expanding first-line options for depression: Protocol of a pragmatic comparative effectiveness trial of yoga vs. behavioral activation (the COMPARE study).","source":"pubmed","abstract":"Depression is a prevalent mental health condition in the United States and a significant cause of morbidity and mortality. The treatment guidelines for depression recommends either psychotherapy, such as behavioral activation (BA), or a second-generation antidepressant as a first-line treatment for adult patients with depression. However, many individuals with depression do not experience improvement from first-line treatments or choose not to engage in them due to stigma, cost, difficulty with access, and/or side effects. As such we need new treatments for depression and yoga is especially promising given recent data on its efficacy for depression. This study seeks to compare a first-line treatment for depression, or BA, versus yoga to examine whether yoga does as well as BA at improving depressive symptoms and secondary outcomes. We will also examine improvements in depressive symptoms, and secondary outcomes, by specific sub-populations to determine who might do better in which treatment (i.e., BA or yoga). Given that this is the first non-inferior, comparative effectiveness study of yoga, this paper explains the study design, the rationale for the study design, as well as lessons learned in conducting the study.","url":"https://pubmed.ncbi.nlm.nih.gov/39761255/","authors":["Sylvia LG","Busch AM","Rabideau DJ","Gold A","Danhauer SC","Schatten HT","Katz D","Weinstock LM","Dahne J","Schmid SP","Soetan Z","Tovey R","Pintro K","Kvaka A","Hernandez AA","Hsu I","Melendez A","Adkins-Hempel M","Grubb A","Lozado O","Fili AA","Chau G","Uebelacker LA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0315506","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39759358","name":"How does Prognostics and Health Management (PHM) develop in the engineering domain: A bibliometric analysis with critical review.","source":"pubmed","abstract":"In recent years, Prognostics and Health Management (PHM) have been considered in broad industrial areas to improve the effectiveness of maintenance activities. In chemical engineering domains, PHM is regarded to have big potential for reliability and safety management of complex systems. In this study, a bibliometric analysis has been conducted to explore the evolution of PHM by retrieving 2351 publications from the Web of Science Core Collection (Retrieve date: 12/05/2023). Science mapping techniques are applied to visualize the results. This study helps to reveal research hotspots and development trends of PHM, with a particular focus on chemical engineering. As for the results, PHM has become a multidisciplinary topic. Its research in chemical engineering domains has gained increasing attention in recent years. By integrating advanced models like neural networks and digital twins, PHM can complement traditional approaches, offering real-time insights that improve operational strategies. In the future, PHM progress will focus on multidisciplinary applications with stronger collaboration between academia and industry, with more potential to address practical challenges.","url":"https://pubmed.ncbi.nlm.nih.gov/39759358/","authors":["Shi H","Geng J","Demichela M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 30","doi":"10.1016/j.heliyon.2024.e40920","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39758009","name":"Personalized Heart Digital Twins Detect Substrate Abnormalities in Scar-Dependent Ventricular Tachycardia.","source":"pubmed","abstract":"Current outcomes from catheter ablation for scar-dependent ventricular tachycardia (VT) are limited by high recurrence rates and long procedure durations. Personalized heart digital twin technology presents a noninvasive method of predicting critical substrate in VT, and its integration into clinical VT ablation offers a promising solution. The accuracy of the predictions of digital twins to detect invasive substrate abnormalities is unknown. We present the first prospective analysis of digital twin technology in predicting critical substrate abnormalities in VT.","url":"https://pubmed.ncbi.nlm.nih.gov/39758009/","authors":["Waight MC","Prakosa A","Li AC","Bunce N","Marciniak A","Trayanova NA","Saba MM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 25","doi":"10.1161/CIRCULATIONAHA.124.070526","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39754893","name":"Impact of thrombus composition on virtual thrombectomy procedures using human clot analogues mechanical data.","source":"pubmed","abstract":"Endovascular thrombectomy (EVT) aims at restoring blood flow in case of acute ischemic stroke by removing the thrombus occluding a large cerebral artery. During the procedure with stent-retriever, the thrombus is captured within the device, which is then retrieved, subjecting the thrombus to several forces, potentially leading to its fragmentation. In silico studies, along with mechanical characterisation of thrombi, can enhance our understanding of the EVT, helping the development of new devices and interventional strategies. Our group previously validated a numerical approach to study EVT able to account for thrombus fragmentation. In this study, the same methodology was employed to explore the applicability of the chosen failure criterion to EVT simulations and the impact of thrombus composition on the outcome of the in silico procedure. For the first time, human clot analogues experimental data were applied to this methodology. Clot analogues of three different compositions were tested, and a material model incorporating failure was calibrated, followed by a verification analysis. Finally, the calibrated material model was used to perform EVT simulations, combining the three tested thrombus compositions with three different stent retriever models. The experimental tests confirmed a compression-tension asymmetry in the stress-strain curves, showing decreasing stiffness with increasing the red blood cell (RBC) content. Applying the resulting material models to EVT simulations demonstrated: (i) the dependency of the failure criterion on the thrombus mesh size, (ii) a greater tendency for RBC-rich thrombi to fragment, and (iii) increased difficulty in retrieving RBC-poor thrombi compared to RBC-rich thrombi.","url":"https://pubmed.ncbi.nlm.nih.gov/39754893/","authors":["Fregona V","Luraghi G","Fereidoonnezhad B","Gijsen FJH","Majoie CBLM","Rodríguez Matas JF","Migliavacca F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.jmbbm.2025.106886","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39754327","name":"The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases.","source":"pubmed","abstract":"Digital health, digital medicine, and digital therapeutics integrate advanced computer technologies into healthcare, aiming to improve efficiency and patient outcomes. These technologies offer innovative solutions for the management of allergic diseases, which affect a significant proportion of the global population and are increasing in prevalence. BODY: This review examines the current progress and future potential of digital health in allergic disease management. It highlights key advancements, including telehealth, mobile health (mHealth), artificial intelligence, clinical decision support systems (CDSS), and digital biomarkers, with a focus on their relevance to allergic disease management. The role of digital tools in improving treatment adherence, enabling remote care, and integrating environmental and patient data into personalized care models is discussed. Challenges such as data privacy, interoperability, and equitable access are addressed, alongside potential strategies to overcome these barriers.","url":"https://pubmed.ncbi.nlm.nih.gov/39754327/","authors":["Zhang H","Cao Y","Jiang H","Zhou Q","Yang Q","Cheng L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1002/clt2.70020","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39753918","name":"Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations.","source":"pubmed","abstract":"Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kinematics Difference Synchronization (SyncLMKD) to measure the kinematic variations distributed among Digital Twin elements to ensure symmetric values relative to a reference. The proposed method employs abductive reasoning and draws inspiration from the Log Mean Temperature Difference (LMTD). The SyncLMKD is applied to measure kinematic variations among mobile robot entities in a DT representation, and it operates following the progression of displacement. A suitable synchronization technique was also developed for experiments based on this method. The main advantage of the SyncLMKD is its high precision in displacement measurement and predictability of distances between counterparts and the dynamic target of the Digital Twin, all while requiring low computational effort. The approach was tested with robots positioned at various locations and speeds to achieve synchronization among them. The SyncLMKD method demonstrated a precision of [Formula: see text] in measuring the distances between elements, achieving synchronized movement of the counterparts with speed adjustments facilitated by the synchronization technique, with percentages ranging from 150 to 200%.","url":"https://pubmed.ncbi.nlm.nih.gov/39753918/","authors":["Cardoso FS","de Souza Araújo T","Rohrich RF","de Oliveira AS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 3","doi":"10.1038/s41598-024-84997-7","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39752947","name":"Construction and transcriptomic analysis of salinity-induced lipid-rich flocculent microalgae.","source":"pubmed","abstract":"The lack of cost-effective nutrient sources and harvesting methods is currently a major obstacle to the production of sustainable biofuels from microalgae. In this study, Chlorella pyrenoidosa was cultured with saline wastewater in a stirred photobioreactor, and lipid-rich flocculent microalgae particles were successfully constructed. As the influent salinity of the photobioreactor increased from 0% to 3%, the particle size and sedimentation rate of flocculent microalgae particles gradually increased, and the lipid accumulation of microalgae also increased gradually. Transcriptome analysis showed that the number of differentially expressed genes (DEGs) in microalgae increased as the salinity of wastewater increased from 1% to 3%, and the number of up-expressed genes was greater than that of down-expressed genes in microalgae at different salinity levels. The enrichment analysis of DEGs showed that the up-expressed genes under salt stress mainly involved in fatty acid biosynthesis and other metabolic processes, which initially revealed the mechanism of the lipid accumulation of microalgal particles in saline wastewater. In addition, the expression and functions of genes involved in lipid and EPS synthesis pathway in microalgae were analyzed, and the key genes involved in salinity affecting lipid and EPS synthesis in microalgae were preliminarily identified. The results could provide novel insight for genetic engineering to regulate the construction of lipid-rich flocculent microalgae particles.","url":"https://pubmed.ncbi.nlm.nih.gov/39752947/","authors":["Huang KX","Vadiveloo A","Zhou JL","Zhong H","Gao F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1016/j.jenvman.2024.123982","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39748331","name":"Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2.","source":"pubmed","abstract":"Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. Furthermore, AI-driven advances in drug discovery leverage machine learning and generative AI to accelerate the identification of novel therapeutic targets and optimize treatment strategies for migraine and other headache disorders. Despite these advances, challenges such as data standardization, model explainability, and ethical considerations remain pivotal. Collaborative efforts between clinicians, biomedical and biotechnological engineers, AI scientists, legal representatives and bioethics experts are essential to overcoming these barriers and unlocking AI's full potential in transforming headache research and healthcare. This is a call to action in proposing novel frameworks for integrating AI-based technologies into headache care.","url":"https://pubmed.ncbi.nlm.nih.gov/39748331/","authors":["Petrušić I","Chiang CC","Garcia-Azorin D","Ha WS","Ornello R","Pellesi L","Rubio-Beltrán E","Ruscheweyh R","Waliszewska-Prosół M","Wells-Gatnik W"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 2","doi":"10.1186/s10194-024-01944-7","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39747950","name":"A novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin.","source":"pubmed","abstract":"To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR&#x2009;+&#x2009;X, is proposed, implementing multidimensional sample data augmentation through Swin2SR and GAN networks. This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information. The Pyramid Vision Transformer (PVT) is innovatively adopted as the backbone for image feature extraction, replacing the traditional ResNet structure. A Deformable Attention mechanism is employed to handle the complex spatial structure of multi-scale features. Testing results indicate that the improved DETR&#x2009;+&#x2009;X model performs well in transformer state recognition tasks, achieving a classification accuracy of 100% for DGA feature maps. In object detection tasks, it surpasses advanced models such as Faster R-CNN, RetinaNet, YOLOv8, and Deformable DETR in terms of overall mAP50 scores, particularly demonstrating significant enhancements in small object detection. Furthermore, the Llava-7b model, fine-tuned based on domain expertise, serves as an expert decision-making tool for transformer maintenance, providing accurate operational recommendations based on visual detection results. Finally, based on digital twin and inference models, a comprehensive platform has been developed to achieve real-time monitoring and intelligent maintenance of transformers.","url":"https://pubmed.ncbi.nlm.nih.gov/39747950/","authors":["Zhang X","Sun W","Chen K","Song S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 2","doi":"10.1038/s41598-024-83561-7","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39742822","name":"High-fidelity computational fluid dynamics modeling to simulate perfusion through a bone-mimicking scaffold.","source":"pubmed","abstract":"Breast cancer cells sense shear stresses in response to interstitial fluid flow in bone and induce specific biological responses. Computational fluid dynamics models have been instrumental in estimating these shear stresses to relate the cell mechanoresponse to exact mechanical signals, better informing experiment design. Most computational models greatly simplify the experimental and cell mechanical environments for ease of computation, but these simplifications may overlook complex cell-substrate mechanical interactions that significantly change shear stresses experienced by cells. In this paper, we construct a high-fidelity model, i.e., a digital twin, of a bone-mimicking scaffold experiencing fluid stresses from a custom perfusion bioreactor by creating a stabilized multi-domain finite element formulation that accounts for physical components of the bioreactor and true flow boundaries. Our goals include determination of a range of applied flow rates that result in physiological wall shear stresses, evaluation of wall shear stress sensitivity to scaffold fabrication, and validation of our bioreactor set-up for applying physiologically-relevant fluid stresses. This work will provide us with a more structured framework to study breast cancer mechanobiology in bone metastasis. Accurate shear stress estimations will allow us to understand how in vitro models of anabolic loading in bone affect the breast cancer cell mechanoresponse.","url":"https://pubmed.ncbi.nlm.nih.gov/39742822/","authors":["Venkatesh S","Teeraratkul C","Rovito N","Mukherjee D","Lynch ME"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.compbiomed.2024.109637","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:42529568","name":"Flexible inference for animal learning rules using neural networks.","source":"pubmed","abstract":"Understanding how animals learn is a central challenge in neuroscience, with growing relevance to the development of animal- or human-aligned artificial intelligence. However, existing approaches tend to assume fixed parametric forms for the learning rule (e.g., Q-learning, policy gradient), which may not accurately describe the complex forms of learning employed by animals in realistic settings. Here we address this gap by developing a framework to infer learning rules directly from behavioral data collected during de novo task learning. We assume that animals follow a decision policy parameterized by a generalized linear model (GLM), and we model their learning rule-the mapping from task covariates to per-trial weight updates-using a deep neural network (DNN). This formulation allows flexible, data-driven inference of learning rules while maintaining an interpretable form of the decision policy itself. To capture more complex learning dynamics, we introduce a recurrent neural network (RNN) variant that relaxes the Markovian assumption that learning depends solely on covariates of the current trial, allowing for learning rules that integrate information over multiple trials. Simulations demonstrate that the framework can recover ground-truth learning rules. We applied our DNN and RNN-based methods to a large behavioral dataset from mice learning to perform a sensory decision-making task and found that they outperformed traditional RL learning rules at predicting the learning trajectories of held-out mice. The inferred learning rules exhibited reward-history-dependent learning dynamics, with larger updates following sequences of rewarded trials. Overall, these methods provide a flexible framework for inferring learning rules from behavioral data in de novo learning tasks, setting the stage for improved animal training protocols and the development of behavioral digital twins.","url":"https://pubmed.ncbi.nlm.nih.gov/42529568/","authors":["Liu YH","Geadah V","Pillow J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39741218","name":"A simulation based digital twin approach to assessing the organization of response to emergency calls.","source":"pubmed","abstract":"In emergency situations, timely contact with emergency medical communication centers (EMCCs) is critical for patient outcomes. Increasing call volumes and economic constraints are challenging many countries, necessitating organizational changes in EMCCs. This study uses a simulation-based digital twin approach, creating a virtual model of EMCC operations to assess the impact of different organizational scenarios on accessibility. Specifically, we explore two decompartmentalized scenarios where traditionally isolated call centers are reorganized to enable more flexible call distribution. The primary measure of accessibility was service quality within 30&#x2009;s of call reception. Our results show that decompartmentalization improves service quality by 17% to 21%. This study demonstrates that reducing regional isolation in EMCCs can enhance performance and accessibility with a simulation-based digital twin approach providing a clear and objective method to quantify the benefits.\"","url":"https://pubmed.ncbi.nlm.nih.gov/39741218/","authors":["Penverne Y","Martinez C","Cellier N","Pehlivan C","Jenvrin J","Savary D","Debierre V","Deciron F","Bichri A","Lebastard Q","Montassier E","Leclere B","Fontanili F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 31","doi":"10.1038/s41746-024-01392-2","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39741086","name":"A novel quantitative diagnosis method for rolling bearing faults based on digital twin model.","source":"pubmed","abstract":"Dual-impulse behaviors of rolling bearings have been widely researched for quantitative diagnosis. However, it is challenging to accurately extract entry and exit moments of the fault from noise-contaminated raw signals. To address this issue, a novel quantitative diagnosis method based on digital twin model is proposed to assess the fault severity from the original signal waveform. Specifically, the quantitative diagnostic criterion for bearing faults is derived to reveal the instantaneous response characteristics of dual-impulse behaviors, and then a digital twin model is constructed to characterize the fault characteristics of the measured signal with noise-free twin signals. Subsequently, a recursive parameter optimization strategy based on cosine similarity (RPOS-CS) is proposed to optimize the twin model in real time, and fault parameters of the optimal signal will be applied to evaluate the fault size of the bearing. Finally, kernel density estimation is employed to perform uncertainty analysis on multiple diagnosis results, thereby realizing interval estimation and significantly enhancing the reliability of diagnosis results. Both simulated and experimental signals are utilized to validate the efficacy of the proposed method, and the further comparative analysis shows that it exhibits high diagnostic accuracy and outstanding reliability.","url":"https://pubmed.ncbi.nlm.nih.gov/39741086/","authors":["Cui L","Li W","Wang X","Liu D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.isatra.2024.12.013","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39740519","name":"The role of industry 4.0 enabling technologies for predicting, and managing of algal blooms: Bridging gaps and unlocking potential.","source":"pubmed","abstract":"Recent advancements in data analytics, predictive modeling, and optimization have highlighted the potential of integrating algal blooms (ABs) with Industry 4.0 technologies. Among these innovations, digital twins (DT) have gained prominence, driven by the rapid development of artificial intelligence (AI) and machine learning (ML) technologies, particularly those associated with the Internet of Things (IoT). AI is pivotal in enabling IoT and DT by enhancing decision-making, automating processes, and delivering actionable insights. The intersection of DT and AI in the context of ABs presents a promising new area for research exploration. Digital twins, which serve as virtual replicas of physical entities, systems, or processes, offer significant potential when combined with AI technologies, paving the way for novel research avenues in algal management (AM). This literature review examines digital twins' challenges and applications within AM. It also comprehensively analyzes the current state of IoT-based applications developed using AI and DT. The review further explores the tools for implementing DT systems and surveys existing AI techniques incorporating DTs. Additionally, it discusses the opportunities and challenges associated with creating various IoT-based applications by integrating AI and DT. The review concludes by identifying unexplored research avenues in this emerging field, underscoring the potential for future advancements in Artificial Intelligence of Things (AIoT) within AM.","url":"https://pubmed.ncbi.nlm.nih.gov/39740519/","authors":["Sheik AG","Sireesha M","Kumar A","Dasari PR","Patnaik R","Bagchi SK","Ansari FA","Bux F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.marpolbul.2024.117493","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39740474","name":"2D echocardiography video to 3D heart shape reconstruction for clinical application.","source":"pubmed","abstract":"Transthoracic Echocardiography (TTE) is a crucial tool for assessing cardiac morphology and function quickly and non-invasively without ionising radiation. However, the examination is subject to intra- and inter-user variability and recordings are often limited to 2D imaging and assessments of end-diastolic and end-systolic volumes. We have developed a novel, fully automated machine learning-based framework to generate a personalised 4D (3D plus time) model of the left ventricular (LV) blood pool with high temporal resolution. A 4D shape is reconstructed from specific 2D echocardiographic views employing deep neural networks, pretrained on a synthetic dataset, and fine-tuned in a self-supervised manner using a novel optimisation method for cross-sectional imaging data. No 3D ground truth is needed for model training. The generated digital twins enhance the interpretation of TTE data by providing a versatile tool for automated analysis of LV volume changes, localisation of infarct areas, and identification of new and clinically relevant biomarkers. Experiments are performed on a multicentre dataset that includes TTE exams of 144 patients with normal TTE and 314 patients with acute myocardial infarction (AMI). The novel biomarkers show a high predictive value for survival (area under the curve (AUC) of 0.82 for 1-year all-cause mortality), demonstrating that personalised 3D shape modelling has the potential to improve diagnostic accuracy and risk assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/39740474/","authors":["Laumer F","Rubi L","Matter MA","Buoso S","Fringeli G","Mach F","Ruschitzka F","Buhmann JM","Matter CM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1016/j.media.2024.103434","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39738365","name":"A new approach for bin packing problem using knowledge reuse and improved heuristic.","source":"pubmed","abstract":"The two-dimensional (2D) irregular packing problem is a combinatorial optimization problem with NP-complete characteristics, which is common in the production process of clothing, ships, and plate metals. The classic packing solution is a hybrid algorithm based on heuristic positioning and meta-heuristic sequencing, which has the problems of complex solving rules and high time cost. In this study, the similarity measurement method based on the twin neural network model is used to evaluate the similarity of pieces in the source task and the target task. The reusability evaluation of packing tasks is designed to select appropriate source task knowledge. The transfer operator is used to transfer the piece sequence knowledge from the source task to complete the reuse of packing knowledge in the target task. The bottom-left algorithm is improved to complete the placement of 2D irregular pieces. The computational experiments show that the proposed algorithm for the bin packing problem using knowledge reuse and improved heuristic (KRIH) has good robustness. The KRIH algorithm can obtain 8 equal or better results on 16 instances in a relatively short time compared with some classical heuristic algorithms, which has good application potential.","url":"https://pubmed.ncbi.nlm.nih.gov/39738365/","authors":["Fang J","Chen X","Rao Y","Peng Y","Yan K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 30","doi":"10.1038/s41598-024-81749-5","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39732863","name":"An efficient method for identifying surface damage in hydraulic concrete buildings.","source":"pubmed","abstract":"Traditional hydraulic structures rely on manual visual inspection for apparent integrity, which is not only time-consuming and labour-intensive but also inefficient. The efficacy of deep learning models is frequently constrained by the size of available data, resulting in limited scalability and flexibility. Furthermore, the paucity of data diversity leads to a singular function of the model that cannot provide comprehensive decision support for improving maintenance measures. This paper proposes an efficacious methodology for identifying diverse apparent damages in hydraulic structures to address the limitations of existing technologies. The advanced features of apparent damage in hydraulic structures were elucidated by fine-tuning the top-level parameters of the lightweight pre-trained model, thereby mitigating the data dependency issue inherent in the model. Ensemble learning algorithms are employed to classify high-dimensional samples to enhance the accuracy and stability of the classification. However, ensemble learning algorithms are subject to time consuming issues when applied to high-dimensional datasets. To this end, we propose a robust discriminative feature selection model to identify the most salient features, thereby enhancing the performance of apparent damage recognition in hydraulic structures while concurrently reducing the inference time. The results demonstrated that the accuracies of this method in identifying crack, fracture, hole and normal structures were 87.65%, 87.82%, 96.99%, and 95.25%, respectively. This methodology exhibits significant applicability and practical value for the intelligent inspection of hydraulic structures.","url":"https://pubmed.ncbi.nlm.nih.gov/39732863/","authors":["Yang L","Zhu D","Liu X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 28","doi":"10.1038/s41598-024-82612-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39731942","name":"Concept and framework of digital twin human geographical environment.","source":"pubmed","abstract":"The human geographical environment is a comprehensive setting formed by the interaction between human activities and the geographical environment, characterized by its complexity and vulnerability. Applying the digital twin method to create a new research model in a human geographical environment holds significant academic and practical value. This approach helps avoid disturbances in the real environment, deeply explores complex issues, and optimizes solutions for real-world geographical problems. By reviewing the current state of research, we propose the basic concept of the digital twin human geographical environment and elaborate on its meaning. Additionally, we construct a technical framework for the digital twin human-geographical environment system. We identify the digital twin human-geographical environment as comprising the real human geographical environment, the virtual human geographical environment, and the interaction between the two. This is achieved through the twin construction and interaction of the geographical environment, human activities, and human geographical interaction, facilitating coordination and mutual enhancement between the real and virtual environments. Using the digital twin of Bailudong Academy as a case study, we demonstrate the construction methods, main functions, and result forms of a digital twin human geographical environment. Besides, this paper will provoke thoughts on the coupling of digital twins and human geographical environments, jointly promoting the development of human geography.","url":"https://pubmed.ncbi.nlm.nih.gov/39731942/","authors":["Xu B","Xiao X","Wang Y","Kang Y","Chen Y","Wang P","Lin H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1016/j.jenvman.2024.123866","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39730406","name":"Elevator fault diagnosis based on digital twin and PINNs-e-RGCN.","source":"pubmed","abstract":"The rapid development of urbanization has led to a continuous rise in number of elevators. This has led to elevator failures from time to time. At present, although there are some studies on elevator fault diagnosis, they are more or less limited by the lack of data to make the research more superficial. For such complex special equipment as elevator, it is difficult to obtain reliable and sufficient data to train the fault diagnosis model. To address this issue, this paper first establishes a numerical model of vertical vibration for elevators with three degrees of freedom. The obtained motion equations are then used as constraints to acquire simulated vibration data through PINNs. Next, the proposed e-RGCN is employed for elevator fault diagnosis. Finally, experimental validation shows that the fault diagnosis accuracy with the participation of digital twins exceeds 90%, and the accuracy of the proposed model reaches 96.61%, significantly higher than that of other comparative models.","url":"https://pubmed.ncbi.nlm.nih.gov/39730406/","authors":["Wang Q","Chen L","Xiao G","Wang P","Gu Y","Lu J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 28","doi":"10.1038/s41598-024-78784-7","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39730234","name":"A faulty simulation model guided Ramanujan Digital twin architecture for rotating machine health monitoring.","source":"pubmed","abstract":"The conventional widely-used health monitoring methods for rotating machines have shortcomings such as the reliance on the selection of the preset parameters. Also, the strong noise interference caused by factors such as transmission path hinders the practical application of many fault feature extraction methods. To overcome these gaps, the digital twin notion is introduced and a new digital twin architecture called the Ramanujan Digital Twin (RDT) is designed. The Ramanujan Periodic Transform (RPT) model is employed to isolate the potential fault feature. For each frame in the whole life cycle of the rotating machine, the high-fidelity simulation model is constructed. Once the high-fidelity simulation-induced virtual sample is obtained, the RPT will be used to provide guidance information about the potential fault. With this information, the potential fault feature can be extracted without preset parameter selection. A health indicator (HI) can be constructed to perform multiple service end tasks including health monitoring and early fault prediction. Two case studies are carried out and the results show the proposed method can not only extract the potential fault feature more effectively with less noise interference but also monitor and predict the potential early fault earlier than fault log.","url":"https://pubmed.ncbi.nlm.nih.gov/39730234/","authors":["Hu W","Wang T","Chu F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.isatra.2024.12.014","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39725693","name":"Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators.","source":"pubmed","abstract":"In silico trials for drug safety assessment require many high-fidelity 3D cardiac simulations to predict drug-induced QT interval prolongation, which is often computationally prohibitive. To streamline this process, we developed sex-specific emulators for a fast prediction of QT interval, trained on a dataset of 900 simulations. Our results show significant differences between 3D and 0D single-cell models as risk levels increase, underscoring the ability of 3D modeling to capture more complex cardiac responses. The emulators demonstrated an average error of 4% compared to simulations, allowing for efficient global sensitivity analysis and fast replication of in silico clinical trials. This approach enables rapid, multi-dose drug testing on standard hardware, addressing critical industry challenges around trial design, assay variability, and cost-effective safety evaluations. By integrating these emulators into drug development, we can improve preclinical reliability and advance the practical application of digital twins in biomedicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39725693/","authors":["Dominguez-Gomez P","Zingaro A","Baldo-Canut L","Balzotti C","Darpo B","Morton C","Vázquez M","Aguado-Sierra J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 26","doi":"10.1038/s41746-024-01370-8","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39720082","name":"Efficacy of virtual reality pure-tone audiometry in training of hearing test for audiologist.","source":"pubmed","abstract":"The immersive virtual reality (VR) simulator is advantageous because it is cost-effective, realistic, can be controlled directly by the user, and can be integrated into education and training in otorhinolaryngology. The present study explored the feasibility of incorporating VR pure-tone audiometry (PTA) into an audiologist training curriculum, and assessed audiology experts' willingness to use a VR PTA.","url":"https://pubmed.ncbi.nlm.nih.gov/39720082/","authors":["Kwak C","Kim J","Jang H","Han W","Seo YJ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 30","doi":"10.1016/j.heliyon.2024.e40795","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39719524","name":"Building a modular and multi-cellular virtual twin of the synovial joint in Rheumatoid Arthritis.","source":"pubmed","abstract":"Rheumatoid arthritis is a complex disease marked by joint pain, stiffness, swelling, and chronic synovitis, arising from the dysregulated interaction between synoviocytes and immune cells. Its unclear etiology makes finding a cure challenging. The concept of digital twins, used in engineering, can be applied to healthcare to improve diagnosis and treatment for complex diseases like rheumatoid arthritis. In this work, we pave the path towards a digital twin of the arthritic joint by building a large, modular biochemical reaction map of intra- and intercellular interactions. This network, featuring over 1000 biomolecules, is then converted to one of the largest executable Boolean models for biological systems to date. Validated through existing knowledge and gene expression data, our model is used to explore current treatments and identify new therapeutic targets for rheumatoid arthritis.","url":"https://pubmed.ncbi.nlm.nih.gov/39719524/","authors":["Zerrouk N","Augé F","Niarakis A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 24","doi":"10.1038/s41746-024-01396-y","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39717574","name":"From tradition to smart: A comprehensive review of the evolution and prospects of land use planning tools.","source":"pubmed","abstract":"Land use planning tools are essential for effective land management. However, existing research has not thoroughly explored the evolution and future potential of these tools. This study addresses this gap through comprehensive literature review and data collection, mapping the progression of land use planning tools from their inception to their future trajectories. Our findings indicate that land use planning tools have evolved through four distinct epochs: 1.0 to 4.0. These epochs are defined as follows: Foundational Surveying Tools (1900s-1950s), Computerized Tools (1960s-1980s), Internet Technology Tools (1990s-2000s), and Smart Tools (2010s to Present). Presently, these tools face several limitations, including complex and redundant planning systems, poor adaptability, insufficient public engagement, and a lack of emphasis on sustainable development. Looking ahead, the emergence of the 5.0 era around the 2040s is anticipated, marked by advancements such as blockchain, VR/AR, quantum computing, and digital twins. This study provides valuable insights for scholars in the field and informs future development of land use planning tools.","url":"https://pubmed.ncbi.nlm.nih.gov/39717574/","authors":["Liu Y","Timo de Vries W","Zhang G","Cui X"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 15","doi":"10.1016/j.heliyon.2024.e40857","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:41909894","name":"In silico metabolic modelling links microbiome-derived metabolites to risk factors of Alzheimer's disease.","source":"pubmed","abstract":"The gut microbiome has become increasingly recognized for its role in the pathogenesis of Alzheimer's disease (AD) and is thought to influence AD pathogenesis via metabolic crosstalk with the host. However, mechanistic pathways connecting the gut microbiome to AD pathogenesis remain unknown. To explore potential mechanistic pathways in AD pathogenesis, we created host-microbiome whole-body metabolic models personalized with 16S rRNA microbiome data and predicted emergent metabolic contributions of gut microbiomes. We analyzed 63 metabolites in blood with previously known links with AD. These in silico predictions were then associated with major risk factors for AD in a cohort of 1,065 aging non-AD individuals and subsequently used to inform targeted analyses on serum metabolomics. Our analysis identified increased host-microbial production of L-arginine in older individuals. Lower production of deoxycholate correlated with the neuroprotective APOE E2 allele and it decreased with higher global cognition. Serum metabolomics from the same individuals of cholesterol products and bile acid metabolism corroborated the modeling predictions, suggesting a potential link between the APOE genotype and cognitive health. In conclusion, this study associated metabolic gut microbiome influences on human metabolism with risk factors for AD and identified cholesterol and bile acid metabolism to potentially link with AD pathogenesis.","url":"https://pubmed.ncbi.nlm.nih.gov/41909894/","authors":["Hensen T","Ahmad S","Kastenmüller G","Kraaij R","Ghanbari M","Ikram A","Kaddurah-Daouk R","Thiele I"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1080/29933935.2024.2443171","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39715540","name":"Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation.","source":"pubmed","abstract":"Human digital twins have the potential to change the practice of personalizing cognitive health diagnosis because these systems can integrate multiple sources of health information and influence into a unified model. Cognitive health is multifaceted, yet researchers and clinical professionals struggle to align diverse sources of information into a single model.","url":"https://pubmed.ncbi.nlm.nih.gov/39715540/","authors":["Sprint G","Schmitter-Edgecombe M","Cook D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 23","doi":"10.2196/63866","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39715281","name":"Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53.","source":"pubmed","abstract":"Neuroblastoma is the most common extra-cranial solid tumour in children. Over half of all high-risk cases are expected to succumb to the disease even after chemotherapy, surgery, and immunotherapy. Although the importance of MYCN amplification in this disease is indisputable, the mechanistic details remain enigmatic. Here, we present a multicellular model of neuroblastoma comprising a continuous automaton, discrete cell agents, and a centre-based mechanical model, as well as the simulation results we obtained with it. The continuous automaton represents the tumour microenvironment as a grid-like structure, where each voxel is associated with continuous variables such as the oxygen level therein. Each discrete cell agent is defined by several attributes, including its cell cycle position, mutations, gene expression pattern, and more with behaviours such as cell cycling and cell death being stochastically dependent on these attributes. The centre-based mechanical model represents the properties of these agents as physical objects, describing how they repel each other as soft spheres. By implementing a stochastic simulation algorithm on modern GPUs, we simulated the dynamics of over one million neuroblastoma cells over a period of months. Specifically, we set up 1200 heterogeneous tumours and tracked the MYCN-amplified clone's dynamics in each, revealed the conditions that favour its growth, and tested its responses to 5000 drug combinations. Our results are in agreement with those reported in the literature and add new insights into how the MYCN-amplified clone's reproductive advantage in a tumour, its gene expression profile, the tumour's other clones (with different mutations), and the tumour's microenvironment are inter-related. Based on the results, we formulated a hypothesis, which argues that there are two distinct populations of neuroblastoma cells in the tumour; the p53 protein is pro-survival in one and pro-apoptosis in the other. It follows that alternating between inhibiting MDM2 to restore p53 activity and inhibiting ARF to attenuate p53 activity is a promising, if unorthodox, therapeutic strategy. The multicellular model has the advantages of modularity, high resolution, and scalability, making it a potential foundation for creating digital twins of neuroblastoma patients.","url":"https://pubmed.ncbi.nlm.nih.gov/39715281/","authors":["Wertheim KY","Chisholm R","Richmond P","Walker D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1371/journal.pcbi.1012648","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39708840","name":"scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.","source":"pubmed","abstract":"Cell type annotation is a critical step in analyzing single-cell RNA sequencing (scRNA-seq) data. A large number of deep learning (DL)-based methods have been proposed to annotate cell types of scRNA-seq data and have achieved impressive results. However, there are several limitations to these methods. First, they do not fully exploit cell-to-cell differential features. Second, they are developed based on shallow features and lack of flexibility in integrating high-order features in the data. Finally, the low-dimensional gene features may lead to overfitting in neural networks. To overcome those limitations, we propose a novel DL-based model, cell type annotation of single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning (scRGCL), based on residual graph convolutional neural network and contrastive learning for cell type annotation of single-cell RNA-seq data. scRGCL mainly consists of a residual graph convolutional neural network, contrastive learning, and weight freezing. A residual graph convolutional neural network is utilized to extract complex high-order features from data. Contrastive learning can help the model learn meaningful cell-to-cell differential features. Weight freezing can avoid overfitting and help the model discover the impact of specific gene expression on cell type annotation. To verify the effectiveness of scRGCL, we compared its performance with six methods (three shallow learning algorithms and three state-of-the-art DL-based methods) on eight single-cell benchmark datasets from two species (seven in human and one in mouse). Experimental results not only show that scRGCL outperforms competing methods but also demonstrate the generalizability of scRGCL for cell type annotation. scRGCL is available at https://github.com/nathanyl/scRGCL.","url":"https://pubmed.ncbi.nlm.nih.gov/39708840/","authors":["Yuan L","Sun S","Jiang Y","Zhang Q","Ye L","Zheng CH","Huang DS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 22","doi":"10.1093/bib/bbae662","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39707136","name":"Computer-generated Clinical Decision-making in the Treatment of Pulmonary Atresia with Intact Ventricular Septum.","source":"pubmed","abstract":"Pulmonary atresia with intact ventricular septum is a multifactorial disease requiring complex surgeries. The treatment route is determined based on the right ventricle (RV) size, tricuspid annulus size and coronary circulation dependency of RV. Since multiple parameters influence the post-operative success, a personalized decision-making based on computed hemodynamics is hypothesized to improve the treatment efficacy.","url":"https://pubmed.ncbi.nlm.nih.gov/39707136/","authors":["Yıldırım C","Ural B","Odemis E","Donmazov S","Pekkan K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Apr","doi":"10.1007/s13239-024-00769-4","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39707022","name":"Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction.","source":"pubmed","abstract":"Despite an increasing number of clinical trials, cancer is one of the leading causes of death worldwide in the past decade. Among all complex diseases, clinical trials in oncology have among the lowest success rates, in part due to the high intra- and inter-tumoral heterogeneity. There are more than a thousand cancer drugs and treatment combinations being investigated in ongoing clinical trials for various cancer subtypes, germline mutations, metastasis, etc. Particularly, treatments relying on the (re)activation of the immune system have become increasingly present in the clinical trial pipeline. However, the complexities of the immune response and cancer-immune interactions pose a challenge to the development of these therapies. Quantitative systems pharmacology (QSP), as a computational approach to predict tumor response to treatments of interest, can be used to conduct in silico clinical trials with virtual patients (and emergent use of digital twins) in place of real patients, thus lowering the time and cost of clinical trials. In line with improved mechanistic understanding of the human immune system and promising results from recent cancer immunotherapy, QSP models can play critical roles in model-informed drug development in immuno-oncology. In this chapter, we discuss how QSP models were designed to serve different study objectives, including hypothesis testing, dose optimization, and efficacy prediction, via case studies in immuno-oncology.","url":"https://pubmed.ncbi.nlm.nih.gov/39707022/","authors":["Wang H","Arulraj T","Ippolito A","Popel AS"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1007/164_2024_735","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39704017","name":"Relative contributions of genetic and environmental factors to palatal morphology: a longitudinal twin study.","source":"pubmed","abstract":"This study aimed to determine the genetic and environmental contributions to phenotypic variations of palatal morphology during development.","url":"https://pubmed.ncbi.nlm.nih.gov/39704017/","authors":["Giri J","Bockmann M","Brook A","Gurr A","Palmer L","Brook O'Donnell M","Hughes T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 4","doi":"10.1093/ejo/cjae076","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39702292","name":"Bridging silicon and carbon worlds with digital twins and on-chip systems in drug discovery.","source":"pubmed","abstract":"This perspective discusses the convergence of digital twin (DT) technology and on-the-chip systems as pivotal innovations in precision medicine, substantially advancing drug discovery. DT leverages extensive health data to create dynamic virtual patient models, enabling predictive insights and optimized treatment strategies. Concurrently, on-the-chip systems from the Carbon world replicate human biological processes on microfluidic platforms, providing detailed insights into disease mechanisms and pharmacological interactions. The convergence of these technologies promises to revolutionize drug development by enhancing therapeutic precision, accelerating discovery timelines, and reducing costs. Specifically, it assesses their role in drug development, from refining therapeutic precision to expediting discovery timelines and reducing the final price. Nevertheless, integrating these technologies faces challenges, including data collection and privacy concerns, technical intricacies, and clinical adoption barriers. This manuscript argues for interdisciplinary cooperation to navigate these challenges, positing DTs and on-the-chip technologies as foundational elements in personalized healthcare and drug discovery.","url":"https://pubmed.ncbi.nlm.nih.gov/39702292/","authors":["Akbarialiabad H","Seyyedi MS","Paydar S","Habibzadeh A","Haghighi A","Kvedar JC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 19","doi":"10.1038/s41540-024-00476-9","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39700658","name":"European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics - Update 2024.","source":"pubmed","abstract":"This guideline was developed in close collaboration with multidisciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF) and the European Organization for Research and Treatment of Cancer (EORTC). Recommendations for the diagnosis and treatment of melanoma were developed on the basis of systematic literature research and consensus conferences. Cutaneous melanoma (CM) is the most dangerous form of skin tumor and accounts for 90&#xa0;% of skin cancer mortality. The diagnosis of melanoma can be made clinically and must always be confirmed by dermoscopy. If melanoma is suspected, a histopathological examination is always required. Sequential digital dermoscopy and whole-body photography can be used in high-risk patients to improve the detection of early-stage melanoma. If available, confocal reflectance microscopy can also improve the clinical diagnosis in special cases. Melanoma is classified according to the 8th version of the American Joint Committee on Cancer classification. For thin melanomas up to a tumor thickness of 0.8&#xa0;mm, no further diagnostic imaging is required. From stage IB, lymph node sonography is recommended, but no further imaging examinations. From stage IIB/C, whole-body examinations with computed tomography or positron emission tomography CT in combination with magnetic resonance imaging of the brain are recommended. From stage IIB/C and higher, a mutation test is recommended, especially for the BRAF V600 mutation. It is important to perform a structured follow-up to detect relapses and secondary primary melanomas as early as possible. A stage-based follow-up regimen is proposed, which in the experience of the guideline group covers the optimal requirements, although further studies may be considered. This guideline is valid until the end of 2026.","url":"https://pubmed.ncbi.nlm.nih.gov/39700658/","authors":["Garbe C","Amaral T","Peris K","Hauschild A","Arenberger P","Basset-Seguin N","Bastholt L","Bataille V","Brochez L","Del Marmol V","Dréno B","Eggermont AMM","Fargnoli MC","Forsea AM","Höller C","Kaufmann R","Kelleners-Smeets N","Lallas A","Lebbé C","Leiter U","Longo C","Malvehy J","Moreno-Ramirez D","Nathan P","Pellacani G","Saiag P","Stockfleth E","Stratigos AJ","Van Akkooi ACJ","Vieira R","Zalaudek I","Lorigan P","Mandala M","European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF), and the European Organization for Research and Treatment of Cancer (EORTC)"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 17","doi":"10.1016/j.ejca.2024.115152","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39700470","name":"Enhancing unity-based AR with optimal lossless compression for digital twin assets.","source":"pubmed","abstract":"The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR). These challenges lead to computational inefficiencies that negatively impact user experience when dealing with sizeable 3D model assets. This article applies multiple lossless compression algorithms to improve the efficiency of digital twin asset delivery in Unity's AssetBundle and Addressable asset management frameworks. In this study, an optimal model will be obtained that reduces both bundle size and time required in visualization, simultaneously reducing CPU and RAM usage on mobile devices. This study has assessed compression methods, such as LZ4, LZMA, Brotli, Fast LZ, and 7-Zip, among others, for their influence on AR performance. This study also creates mathematical models for predicting resource utilization, like RAM and CPU time, required by AR mobile applications. Experimental results show a detailed comparison among these compression algorithms, which can give insights and help choose the best method according to the compression ratio, decompression speed, and resource usage. It finally leads to more efficient implementations of AR digital twins on resource-constrained mobile platforms with greater flexibility in development and a better end-user experience. Our results show that LZ4 and Fast LZ perform best in speed and resource efficiency, especially with RAM caching. At the same time, 7-Zip/LZMA achieves the highest compression ratios at the cost of slower loading. Brotli emerged as a strong option for web-based AR/VR content, striking a balance between compression efficiency and decompression speed, outperforming Gzip in WebGL contexts. The Addressable Asset system with LZ4 offers the most efficient balance for real-time AR applications. This study will deliver practical guidance on optimal compression method selection to improve user experience and scalability for AR digital twin implementations.","url":"https://pubmed.ncbi.nlm.nih.gov/39700470/","authors":["Hlayel M","Mahdin H","Hayajneh M","AlDaajeh SH","Yaacob SS","Rejab MM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1371/journal.pone.0314691","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39698892","name":"Triboelectric Mat Multimodal Sensing System (TMMSS) Enhanced by Infrared Image Perception for Sleep and Emotion-Relevant Activity Monitoring.","source":"pubmed","abstract":"To implement digital-twin smart home applications, the mat sensing system based on triboelectric sensors is commonly used for gait information collection from daily activities. Yet traditional mat sensing systems often miss upper body motions and fail to adequately project these into the virtual realm, limiting their specific application scenarios. Herein, triboelectric mat multimodal sensing system is designed, enhanced with a commercial infrared imaging sensor, to capture diverse sensory information for sleep and emotion-relevant activity monitoring without compromising privacy. This system generates pixel-based area ratio mappings across the entire mat array, solely based on the integral operation of triboelectric outputs. Additionally, it utilizes multimodal sensory intelligence and deep-learning analytics to detect different sleeping postures and monitor comprehensive sleep behaviors and emotional states associated with daily activities. These behaviors are projected into the metaverse, enhancing virtual interactions. This multimodal sensing system, cost-effective and non-intrusive, serves as a functional interface for diverse digital-twin smart home applications such as healthcare, sports monitoring, and security.","url":"https://pubmed.ncbi.nlm.nih.gov/39698892/","authors":["Xu J","Guo X","Zhang Z","Liu H","Lee C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1002/advs.202407888","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39694914","name":"Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.","source":"pubmed","abstract":"Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prevention of, type 1 diabetes has been hindered by limited animal models, the length and cost of clinical trials, difficulties in identifying individuals who will progress faster to a clinical diagnosis of type 1 diabetes, and heterogeneous clinical responses in intervention trials. Classic placebo-controlled intervention trials often include monotherapies, broad participant populations and extended follow-up periods focused on clinical endpoints. While this approach remains the 'gold standard' of clinical research, efforts are underway to implement new approaches harnessing the power of artificial intelligence and machine learning to accelerate drug discovery and efficacy testing. Here, we review emerging approaches for repurposing agents used to treat diseases that share pathogenic pathways with type 1 diabetes and selecting synergistic combinations of drugs to maximise therapeutic efficacy. We discuss how emerging multi-omics technologies, including analysis of antigen processing and presentation to adaptive immune cells, may lead to the discovery of novel biomarkers and subsequent translation into antigen-specific immunotherapies. We also discuss the potential for using artificial intelligence to create 'digital twin' models that enable rapid in silico testing of personalised agents as well as dose determination. To conclude, we discuss some limitations of artificial intelligence and machine learning, including issues pertaining to model interpretability and bias, as well as the continued need for validation studies via confirmatory intervention trials.","url":"https://pubmed.ncbi.nlm.nih.gov/39694914/","authors":["Shapiro MR","Tallon EM","Brown ME","Posgai AL","Clements MA","Brusko TM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1007/s00125-024-06339-6","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39694590","name":"Digital twins for chronic lung diseases.","source":"pubmed","abstract":"Digital twins have recently emerged in healthcare. They combine advances in cyber-physical systems, modelling and computation techniques, and enable a bidirectional flow of information between the physical and virtual entities. In respiratory medicine, progress in connected devices and artificial intelligence make it technically possible to obtain digital twins that allow real-time visualisation of a patient's respiratory health. Advances in respiratory system modelling also enable the development of digital twins that could be used to predict the effectiveness of different therapeutic approaches for a patient. For researchers, digital twins could lead to a better understanding of the gene-environment-time interactions involved in the development of chronic respiratory diseases. For clinicians and patients, they could facilitate personalised and timely medicine, by enabling therapeutic adaptations specific to each patient and early detection of disease progression. The objective of this review is to allow the reader to explore the concept of digital twins, their feasibility in respiratory medicine, their potential benefits and the challenges to their implementation.","url":"https://pubmed.ncbi.nlm.nih.gov/39694590/","authors":["Gonsard A","Genet M","Drummond D","Apolline Gonsard","Martin Genet","David Drummond"],"tags":["Medicine","Digital health","Health care","Intensive care medicine","Data science"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct","doi":"10.1183/16000617.0159-2024","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"pmid:39694322","name":"Deciphering circulating tumor cells binding in a microfluidic system thanks to a parameterized mathematical model.","source":"pubmed","abstract":"The spread of metastases is a crucial process in which some questions remain unanswered. In this work, we focus on tumor cells circulating in the bloodstream, the so-called Circulating Tumor Cells (CTCs). Our aim is to characterize their trajectories under the influence of hemodynamic and adhesion forces. We focus on already available in vitro measurements performed with a microfluidic device corresponding to the trajectories of CTCs - without or with different protein depletions - interacting with an endothelial layer. A key difficulty is the weak knowledge of the fluid velocity that has to be reconstructed. Our strategy combines a differential equation model - a Poiseuille model for the fluid velocity and an ODE system for the cell adhesion model - and a robust and well-designed calibration procedure. The parameterized model quantifies the strong influence of fluid velocity on adhesion and confirms the expected role of several proteins in the deceleration of CTCs. Finally, it enables the generation of synthetic cells, even for unobserved experimental conditions, opening the way to a digital twin for flowing cells with adhesion.","url":"https://pubmed.ncbi.nlm.nih.gov/39694322/","authors":["Ciavolella G","Granet J","Goetz JG","Osmani N","Etchegaray C","Collin A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar 7","doi":"10.1016/j.jtbi.2024.112029","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39689949","name":"Molecular Interactions and Responsive Locations of CO(2)-Responsive Surfactants in an Oil-Water-Surfactant System: Molecular Dynamics Simulation and Free Energy Perturbation.","source":"pubmed","abstract":"Understanding the mechanism of a CO 2 -responsive surfactant is essential for enhancing its industrial applications. Conventional experimental methods face challenges in pinpointing the exact location of proton transfer within the system and in accurately describing the impact of intermolecular and intramolecular interactions on the CO 2 responsiveness of such substances. To address this gap, this study employs molecular dynamics simulations and free energy perturbation methods to investigate the proton transfer process between a CO 2 -responsive cationic surfactant N '-dodecyl- N , N -dimethylacetamidinium (DMAAH + ) and its counterion bicarbonate ion at the oil-water interface and micelle surface and in the bulk aqueous phase. Molecular dynamics simulations identified potential locations for the proton transfer process within the system and elucidated the types of interactions contributing to changes in Gibbs free energy. Subsequently, free energy perturbation was employed to calculate Gibbs free energy changes associated with proton transfer at different locations. The respective contributions of various intramolecular and intermolecular interactions were then compared and analyzed. It has been revealed that the deprotonation process is not thermodynamically spontaneous at all three responsive locations. The proton transfer occurs more frequently at the oil-water interface than at the micelle surface and is less common in the bulk aqueous phase. The findings enhance our understanding of the fundamental mechanisms governing the responsiveness of CO 2 -responsive surfactants and provide valuable insights for their practical application in industrial processes.","url":"https://pubmed.ncbi.nlm.nih.gov/39689949/","authors":["Lei X","Liu B","Chen Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 31","doi":"10.1021/acs.langmuir.4c03466","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39689524","name":"Simulated effects of surgical corrections on bone-implant micromotion and implant stresses in paediatric proximal femoral osteotomy.","source":"pubmed","abstract":"Proximal femoral osteotomy (PFO) is a surgical intervention, typically performed on paediatric population, that aims to correct femoral deformities caused by different pathologies (e.g., slipped capital femoral epiphysis). A PFO involves introduction of an implant to fix the proximal and distal sections of femur following the surgical corrections. The femoral neck-shaft angle (NSA) and anteversion angle (AVA) are key geometric parameters that influence PFO outcomes. To date, the effects of NSA and AVA on bone-implant system mechanics in paediatric populations have not been examined.","url":"https://pubmed.ncbi.nlm.nih.gov/39689524/","authors":["Bavil AY","Eghan-Acquah E","Dastgerdi AK","Diamond LE","Barrett R","Walsh HP","Barzan M","Saxby DJ","Feih S","Carty CP"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.compbiomed.2024.109544","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39688585","name":"From bits to bedside: entering the age of digital twins in cardiac electrophysiology.","source":"pubmed","abstract":"This State of the Future Review describes and discusses the potential transformative power of digital twins in cardiac electrophysiology. In this 'big picture' approach, we explore the evolution of mechanistic modelling based digital twins, their current and immediate clinical applications, and envision a future where continuous updates, advanced calibration, and seamless data integration redefine clinical practice of cardiac electrophysiology. Our aim is to inspire researchers and clinicians to embrace the extraordinary possibilities that digital twins offer in the pursuit of precision medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39688585/","authors":["Bhagirath P","Strocchi M","Bishop MJ","Boyle PM","Plank G","Pranav Bhagirath","Marina Strocchi","Martin J. Bishop","Patrick M. Boyle","Gernot Plank"],"tags":["Cardiac electrophysiology","Transformative learning","Electrophysiology","Computer science","Data science"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 3","doi":"10.1093/europace/euae295","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"pmid:39688380","name":"Virtual imaging trials in medicine: A brief takeaway of the lessons from the first international summit.","source":"pubmed","abstract":"The rapid advancement of medical technologies presents significant challenges for researchers and practitioners. While traditional clinical trials remain the gold standard, they are often limited by high costs, lengthy durations, and ethical constraints. In contrast, in-silico trials and digital twins have emerged not only as efficient and ethical alternatives but also as a complementary technology that can extend beyond classical trials to predict and design new strategies. The successful application of digital twins in industries like nuclear energy, automotive engineering, and aviation underscores their potential in human health.","url":"https://pubmed.ncbi.nlm.nih.gov/39688380/","authors":["Samei E","Abadi E","Bakic P","Bliznakova K","Bosmans H","Carton AK","Frangi AF","Glick S","Lo JY","Kinahan P","Maidment A","Ria F","Sechopoulos I","Segars WP","Tanaka R","Vancoillie L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1002/mp.17587","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39688218","name":"Closed-Loop Automated Control System of Extracorporeal Membrane Oxygenation and Left Ventricular Assist Device Support in Cardiogenic Shock.","source":"pubmed","abstract":"Venoarterial extracorporeal membrane oxygenation (VA-ECMO) benefits patients with cardiogenic shock (CS) but can increase left ventricular afterload and exacerbate pulmonary edema. Adding a percutaneous left ventricular assist device (LVAD) to VA-ECMO can optimize the hemodynamics. Because managing VA-ECMO and LVAD simultaneously is complex and labor-intensive, we developed a closed-loop automated control system for VA-ECMO and LVAD. Based on the circulatory equilibrium framework, this system automatically adjusts VA-ECMO and LVAD flows and cardiovascular drug and fluid dosages to achieve target arterial pressure (AP, 70&#x2009;mm Hg), left atrial pressure ( PLA , 14&#x2009;mm Hg), and total systemic flow ( Ftotal , 120-140&#x2009;ml/min/kg). In seven anesthetized dogs with CS, VA-ECMO significantly increased AP and PLA from 24 (23-27) to 71 (63-77) mm Hg and 20.1 (16.3-22.1) to 43.0 (25.7-51.4) mm Hg, respectively. Upon system activation, PLA was promptly reduced. At 60&#x2009;min postactivation, the system-controlled AP to 69 (65-74) mm Hg, PLA to 12.5 (12.0-13.4) mm Hg, and Ftotal to 117 (114-132) ml/min/kg while adjusting VA-ECMO flow to 59 (12-60) ml/min/kg, LVAD flow to 68 (54-78) ml/min/kg, and cardiovascular drug and fluid dosages. This system automatically optimizes VA-ECMO and LVAD hemodynamics, making it an attractive tool for rescuing patients with CS.","url":"https://pubmed.ncbi.nlm.nih.gov/39688218/","authors":["Unoki T","Uemura K","Yokota S","Matsushita H","Kakuuchi M","Morita H","Sato K","Yoshida Y","Sasaki K","Kataoka Y","Nishikawa T","Fukumitsu M","Kawada T","Sunagawa K","Alexander J Jr","Saku K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun 1","doi":"10.1097/MAT.0000000000002359","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39686246","name":"FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review.","source":"pubmed","abstract":"The combination of distributed digital factories (D 2 Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D 2 F with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A D 2 F is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to assure the effectiveness of the manufacturing processes. FPGAs, identified for their re-programmability, reduced power usage, and enhanced processing compared to traditional processors, are increasingly being used to develop near-real-time monitoring systems within manufacturing networks. This review paper identifies the recent expansions in FPGA-based sensors and their exploration within the D 2 Fs operations. The primary topics incorporate the deployment of eco-efficient data management and near-real-time monitoring, targeted at lowering waste and optimizing resources. The review paper also identifies the future research directions in this field. By incorporating advanced sensors, DTs, laser-AM, and SM processes, this review emphasizes a path toward more sustainable and resilient D 2 Fs operations.","url":"https://pubmed.ncbi.nlm.nih.gov/39686246/","authors":["Khan L","Isanaka SP","Liou F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 2","doi":"10.3390/s24237709","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39686111","name":"Digital Twin for a Frequency Mixer Used as a Phase Sensor.","source":"pubmed","abstract":"The Portuguese Institute for Quality is responsible for the realization and dissemination of the frequency standard in Portugal. There are several techniques for frequency transfer, but we use a frequency mixer to detect phase variations between two light signals with different wavelengths, traveling along an optical fibre. In this paper, we present the development of a digital twin (DT) that replicates the use of a frequency mixer to improve the frequency transfer problem. A setup was built to train and validate the technique: a frequency mixer was used to determine the phase difference between the two signals, which are caused by temperature gradients in the fibre, together with real-time temperature data from sensors placed along the fibre and on the mixer itself. The DT was trained with two machine learning algorithms, in particular, ARIMA and LSTM networks. To estimate the accuracy of the frequency mixer working as a phasemeter, several sources of uncertainty were considered and included in the DT model, with the goal of obtaining a phase value measurement and its uncertainty in real time. The JCGM 100:2008 and JCGM 101:2008 approaches were used for the estimation of the uncertainty budget. With this work, we merge DT technology with a frequency mixer used for phase detection to provide its value and uncertainty in real time.","url":"https://pubmed.ncbi.nlm.nih.gov/39686111/","authors":["Pires C","Abreu M","Godinho I","Agostinho R","Sousa JA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 27","doi":"10.3390/s24237574","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39685988","name":"IoT-Cloud, VPN, and Digital Twin-Based Remote Monitoring and Control of a Multifunctional Robotic Cell in the Context of AI, Industry, and Education 4.0 and 5.0.","source":"pubmed","abstract":"The monitoring and control of an assembly/disassembly/replacement (A/D/R) multifunctional robotic cell (MRC) with the ABB 120 Industrial Robotic Manipulator (IRM), based on IoT (Internet of Things)-cloud, VPN (Virtual Private Network), and digital twin (DT) technology, are presented in this paper. The approach integrates modern principles of smart manufacturing as outlined in Industry/Education 4.0 (automation, data exchange, smart systems, machine learning, and predictive maintenance) and Industry/Education 5.0 (human-robot collaboration, customization, robustness, and sustainability). Artificial intelligence (AI), based on machine learning (ML), enhances system flexibility, productivity, and user-centered collaboration. Several IoT edge devices are engaged, connected to local networks, LAN-Profinet, and LAN-Ethernet and to the Internet via WAN-Ethernet and OPC-UA, for remote and local processing and data acquisition. The system is connected to the Internet via Wireless Area Network (WAN) and allows remote control via the cloud and VPN. IoT dashboards, as human-machine interfaces (HMIs), SCADA (Supervisory Control and Data Acquisition), and OPC-UA (Open Platform Communication-Unified Architecture), facilitate remote monitoring and control of the MRC, as well as the planning and management of A/D/R tasks. The assignment, planning, and execution of A/D/R tasks were carried out using an augmented reality (AR) tool. Synchronized timed Petri nets (STPN) were used as a digital twin akin to a virtual reality (VR) representation of A/D/R MRC operations. This integration of advanced technology into a laboratory mechatronic system, where the devices are organized in a decentralized, multilevel architecture, creates a smart, flexible, and scalable environment that caters to both industrial applications and educational frameworks.","url":"https://pubmed.ncbi.nlm.nih.gov/39685988/","authors":["Filipescu A","Simion G","Ionescu D","Filipescu A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 22","doi":"10.3390/s24237451","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39681219","name":"A computational workflow for end-to-end simulation of percutaneous absorption.","source":"pubmed","abstract":"Presented is the development of a workflow for end-to-end (e2e) in silico modelling of percutaneous absorption under a range of test conditions, integrating multiple calculation and analysis steps for in-silico simulation of dermal absorption. The aim is to achieve a digital twin that can be used by non-modelling experts to simulate transdermal permeation.","url":"https://pubmed.ncbi.nlm.nih.gov/39681219/","authors":["Zhang D","Deacon BN","Li W","Lian G","Chen T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 10","doi":"10.1016/j.ijpharm.2024.125084","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39677410","name":"Kinetic cooling in mid-infrared methane photoacoustic spectroscopy: A quantitative analysis via digital twin verification.","source":"pubmed","abstract":"This study presents a detailed quantitative analysis of kinetic cooling in methane photoacoustic spectroscopy, leveraging the capabilities of a digital twin model. Using a quantum cascade laser tuned to 1210.01&#x202f;cm&#x207b;&#xb9;, we investigated the effects of varying nitrogen-oxygen matrix compositions on the photoacoustic signals of 15 ppmV methane. Notably, the photoacoustic signal amplitude decreased with increasing oxygen concentration, even falling below the background signal at oxygen levels higher than approximately 6&#x202f;%V. This phenomenon was attributed to kinetic cooling, where thermal energy is extracted from the surrounding gas molecules rather than added, as validated by complex vector analysis using a previously published digital twin model. The model accurately reproduced complex signal patterns through simulations, providing insights into the underlying molecular mechanisms by quantifying individual collision contributions. These findings underscore the importance of digital twins in understanding the fundamentals of photoacoustic signal generation at the molecular level.","url":"https://pubmed.ncbi.nlm.nih.gov/39677410/","authors":["Rück T","Pangerl J","Escher L","Jobst S","Müller M","Bierl R","Matysik FM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1016/j.pacs.2024.100652","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39675238","name":"Age assessment of Chinese Tibetan twins using multiple skeletal age estimation methods: A case report.","source":"pubmed","abstract":"This case presents a unique age estimation involving Chinese Tibetan twins, where one of them has been arrested for alleged rape. His parents claimed he was about 13&#xa0;years old without providing any official age documentation. Since age is important in criminal proceedings in China, bone age estimation was conducted to determine the chronological age of the twins. The twins underwent a physical examination, X-rays of the left hand/wrist, and pelvis, and a CT scan of the clavicle. Two age estimation standards in China were used: \"Skeletal Maturity and Assessment Methods of Hand and Wrist for Chinese\" (China-05 standard), and \"Technical Specifications for Skeletal Age Evaluation of Han Population Teenagers\" (TSSHPT standard). The bone radiographs showed that most of the twins' epiphyseal development was similar, with only slight differences observed in the distal radius, distal ulna, and iliac crest apophysis. The results of the two methods showed differences in the range of predicted ages. Applying the RUS-CHN method to hand/wrist images, the estimated age of the suspect was determined to be 16-16.5&#xa0;years old, while his brother's age was 15.5-16&#xa0;years old. Applying the TSSHPT standard to all three images, the estimated age of the suspect was 17-17.5&#xa0;years old, while his brother's age was estimated to be 16.5-17&#xa0;years old. In this case, two commonly used methods for age estimation were introduced. The disparity in age estimations using the RUS-CHN and TSSHPT standards, with the age of the suspect ranging from 16 to 17.5&#xa0;years. This case revealed that the choice of bone age estimation method can significantly impact the result of estimated age, which has important implications for legal proceedings. Additionally, the minor differences in skeletal maturity between the twins emphasize the need to account for individual variations, even among genetically similar individuals. Furthermore, this case contributes to the broader discourse on the effectiveness of skeletal age estimation methods across diverse populations, underscoring the necessity for tailored evaluation standards that consider genetic and environmental diversity.","url":"https://pubmed.ncbi.nlm.nih.gov/39675238/","authors":["Luo S","Fan F","Liu M","Qiu LR","Zhan MJ","Zhou YC","Yang HK","Chen H","Chen XL","Deng ZH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.legalmed.2024.102558","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39674072","name":"A Matlab Toolbox for cardiac electrophysiology simulations on patient-specific geometries.","source":"pubmed","abstract":"In this paper, we present CardioMat, a Matlab toolbox for cardiac electrophysiology simulation based on patient-specific anatomies. The strength of CardioMat is the easy and fast construction of electrophysiology cardiac digital twins from segmented anatomical images in a general-purpose software such as Matlab. CardioMat implements a quasi-automatic pipeline that guides the user toward the construction of anatomically detailed cardiac electrophysiology models. Importantly, the CardioMat framework includes the generation of physiologically plausible fiber orientation and Purkinje networks. The main novelty of our framework is its ability to handle voxel-based geometries as produced by segmentation procedures directly, without the need for an unstructured mesh. Indeed, the CardioMat monodomain solver uses a smoothed boundary approach and runs completely on GPU for fast simulations. We employed CardioMat in different application scenarios to show its potentialities and provide preliminary assessment of the feasibility, diagnostic performance, and accuracy of the toolbox. In particular, we showed that CardioMat simulations derived from post-infarction patients hold high sensitivity, specificity, predictive value, and accuracy for localization of deceleration zones in sinus rhythm.","url":"https://pubmed.ncbi.nlm.nih.gov/39674072/","authors":["Biasi N","Seghetti P","Parollo M","Zucchelli G","Tognetti A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.compbiomed.2024.109529","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39673832","name":"\"Population\" in biology and statistics.","source":"pubmed","abstract":"The development of a biological notion of \"population\" over the first century of the theory of evolution has been commented upon by a number of historians and philosophers of biology. Somewhat less commonly discussed, however, is the parallel development of the statistical concept of a population over precisely the same period, in some cases driven by the same historical actors (such as Francis Galton and R. A. Fisher). We explore here these parallel developments, first from the perspective of a reconstruction of the historical development of each concept, then with the aid of a digital analysis of a corpus of literature drawn from the journals Biometrika and JournalofGenetics, between 1900 and 1960. These twin analyses show both points of interesting overlap between these two historical trends as well as points of important divergence. The biological and statistical notions of \"population\" seem to be relatively clearly distinguishable over these six decades, in spite of the fact that a number of authors contributed clearly to both traditions. The complex interplay of continuity and discontinuity across these two notions of \"population\" makes them a particularly interesting case study of scientific conceptual change.","url":"https://pubmed.ncbi.nlm.nih.gov/39673832/","authors":["Bertoldi N","Pence CH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.shpsa.2024.12.014","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39656932","name":"Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer's Disease in the UK Biobank.","source":"pubmed","abstract":"Alzheimer's disease (AD) affects over 6 million people and is the seventh-leading cause of death in the United States. This study compares wrist-worn accelerometry-derived PA measures against traditional risk factors for incident AD in the UK Biobank.","url":"https://pubmed.ncbi.nlm.nih.gov/39656932/","authors":["Zhao A","Cui E","Leroux A","Zhou X","Muschelli J","Lindquist MA","Crainiceanu CM"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 16","doi":"10.1093/gerona/glae287","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39673002","name":"Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.","source":"pubmed","abstract":"The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence. AI has infiltrated every aspect of medical metaverse and is deeply integrated with the technologies that build medical metaverse, such as large language models (LLMs), digital twins, blockchain and extended reality (including VR/AR/XR). AI has become an integral part of the medical metaverse building process. Moreover, AI also provides richer medical metaverse functions, including diagnosis, education, and consulting. This paper aims to introduce how AI supports the development of medical metaverse, including its specific application scenarios, shortcomings and future development. Our goal is to contribute to the advancement of more sophisticated and intelligent medical methods.","url":"https://pubmed.ncbi.nlm.nih.gov/39673002/","authors":["Yang JM","Chen BJ","Li RY","Huang BQ","Zhao MH","Liu PR","Zhang JY","Ye ZW"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1007/s11596-024-2960-5","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39671669","name":"Filtering-free complex-valued DSB-16QAM generation for a 100 G direct detection optical interconnection.","source":"pubmed","abstract":"In this Letter, a complex-valued double-sideband 16QAM (CV-DSB-16QAM) signaling scheme is proposed and experimentally demonstrated in a 100-Gb/s intensity modulation/direct detection (IM/DD) interconnection system. Unlike the conventional real-valued double-sideband (DSB) quadrature amplitude modulation (QAM) of relatively lower spectral efficiency (SE) and single-sideband (SSB) QAM relying on sharp-edged optical filtering, the CV-DSB-16QAM signal is generated by combining two independent sideband modulated QPSK signals using a single intensity modulator with an optical filtering-free profile, which also saves one photodiode and one analog-to-digital-converter compared with the twin-SSB scheme. Compared to typical pulse amplitude modulation or SSB schemes, the proposed approach offers a compelling alternative for complex-valued DD systems' evolution, particularly in scenarios with high SE demands and controllable chromatic dispersion. The experimental demonstration evaluates a 25-GBaud CV-DSB-16QAM signal over a 2-km standard single-mode fiber (SSMF), achieving a net bit rate of 100&#x2005;Gb/s and occupying only a 25.1-GHz electrical bandwidth with a 4% guard band.","url":"https://pubmed.ncbi.nlm.nih.gov/39671669/","authors":["Ming J","Song J","Wen Y","He H","Mu Y","Gao R","Wang C","Li Z","Xin X","Dong Z"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 15","doi":"10.1364/OL.543172","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39670405","name":"All Together Now: Data Work to Advance Privacy, Science, and Health in the Age of Synthetic Data.","source":"pubmed","abstract":"There is a disconnect between data practices in biomedicine and public understanding of those data practices, and this disconnect is expanding rapidly every day (with the emergence of synthetic data and digital twins and more widely adopted Artificial Intelligence (AI)/Machine Learning tools). Transparency alone is insufficient to bridge this gap. Concurrently, there is an increasingly complex landscape of laws, regulations, and institutional/ programmatic policies to navigate when engaged in biocomputing and digital health research, which makes it increasingly difficult for those wanting to \"get it right\" or \"do the right thing.\" Mandatory data protection obligations vary widely, sometimes focused on the type of data (and nuanced definition and scope parameters), the actor/entity involved, or the residency of the data subjects. Additional challenges come from attempts to celebrate biocomputing discoveries and digital health innovations, which frequently transform fair and accurate communications into exaggerated hype (e.g., to secure financial investment in future projects or lead to more favorable tenure and promotion decisions). Trust in scientists and scientific expertise can be quickly eroded if, for example, synthetic data is perceived by the public as \"fake data\" or if digital twins are perceived as \"imaginary\" patients. Researchers appear increasingly aware of the scientific and moral imperative to strengthen their work and facilitate its sustainability through increased diversity and community engagement. Moreover, there is a growing appreciation for the \"data work\" necessary to have scientific data become meaningful, actionable information, knowledge, and wisdom-not only for scientists but also for the individuals from whom those data were derived or to whom those data relate. Equity in the process of biocomputing and equity in the distribution of benefits and burdens of biocomputing both demand ongoing development, implementation, and refinement of embedded Ethical, Legal and Social Implications (ELSI) research practices. This workshop is intended to nurture interdisciplinary discussion of these issues and to highlight the skills and competencies all too often considered \"soft skills\" peripheral to other skills prioritized in traditional training and professional development programs. Data scientists attending this workshop will become better equipped to embed ELSI practices into their research.","url":"https://pubmed.ncbi.nlm.nih.gov/39670405/","authors":["Fernández-Rhodes L","Wagner JK"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1142/9789819807024_0049","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39669390","name":"A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system.","source":"pubmed","abstract":"This study aims to address the limitations of current clinical methods in predicting delivery mode by constructing a multimodal neural network-based model. The model utilizes data from a digital twin-empowered labor monitoring system, including computerized cardiotocography (cCTG), ultrasound (US) examination data, and electronic health records (EHRs) of pregnant women.","url":"https://pubmed.ncbi.nlm.nih.gov/39669390/","authors":["Bai J","Kang X","Wang W","Yang Z","Ou W","Huang Y","Lu Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Jan-Dec","doi":"10.1177/20552076241304934","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39669111","name":"Healthcare providers' experiences of maternity care service delivery during the COVID-19 pandemic in the United Kingdom: a follow-up systematic review and qualitative evidence synthesis.","source":"pubmed","abstract":"During the COVID-19 pandemic, there was substantial reconfiguration of maternity care services, affecting both users and healthcare providers (HCPs), in the United Kingdom (UK) and globally.","url":"https://pubmed.ncbi.nlm.nih.gov/39669111/","authors":["Dasgupta T","Bousfield E","Pathak Y","Horgan G","Peterson L","Mistry HD","Wilson M","Hill M","Smith V","Boulding H","Sheen KS","Van Citters AD","Nelson EC","Duncan EL","von Dadelszen P","RESILIENT Study Group","Silverio SA","Magee LA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fgwh.2024.1470674","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39664634","name":"Does sibling family structure matter in the emotion understanding development in preschoolers?","source":"pubmed","abstract":"The objective of the study was to investigate the impact of sibling family structure -including the number of children, age gaps, presence of a twin, sibling position, and gender composition - on emotion understanding and its development in children aged 5-6&#x2009;years. A total of 409 preschoolers participated. Emotion understanding was assessed using The Test of Emotion Comprehension at the baseline and then again at a 1-year follow-up. In addition to the primary variables, executive functions (comprising visual and verbal working memory and cognitive flexibility) and non-verbal intelligence were controlled for in the analysis. We used the Dimensional Change Card Sort task to assess cognitive flexibility, the Sentence Repetition and Memory for Designs subtests of NEPSY-II to measure verbal and visual working memory, respectively, and Raven's Coloured Progressive Matrices to assess non-verbal intelligence. Sibling data were obtained from the parent surveys, while psychological assessments were administered to children by psychologists. While sibling family structure influences emotion understanding, it does not significantly affect its development over a year. A more advanced reflective emotional understanding is associated with higher cognitive flexibility and having a younger sibling, compared to other sibling positions. The results of this study offer additional knowledge for parents, educators, family therapists, and child psychologists seeking a deeper understanding of emotional development in children. These professionals can design interventions and programs that leverage sibling and peer relationships to foster emotional development, encourage collaboration through age-diverse activities, and promote caregiving roles to enhance family and group dynamics.","url":"https://pubmed.ncbi.nlm.nih.gov/39664634/","authors":["Aslanova M","Gavrilova M","Iurina E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fpsyg.2024.1428087","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39660499","name":"Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.","source":"pubmed","abstract":"Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the residual risk in these patients.","url":"https://pubmed.ncbi.nlm.nih.gov/39660499/","authors":["Liu Y","Chen Y","Olier I","Ortega-Martorell S","Huang B","Ishiguchi H","Lam HM","Hong K","Huisman MV","Lip GYH","GLORIA‐AF Investigators"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1111/eci.14371","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39653845","name":"A scalable framework for learning the geometry-dependent solution operators of partial differential equations.","source":"pubmed","abstract":"Solving partial differential equations (PDEs) using numerical methods is a ubiquitous task in engineering and medicine. However, the computational costs can be prohibitively high when many-query evaluations of PDE solutions on multiple geometries are needed. Here we aim to address this challenge by introducing Diffeomorphic Mapping Operator Learning (DIMON), a generic artificial intelligence framework that learns geometry-dependent solution operators of different types of PDE on a variety of geometries. We present several examples to demonstrate the performance, efficiency and scalability of the framework in learning both static and time-dependent PDEs on parameterized and non-parameterized domains; these include solving the Laplace equations, reaction-diffusion equations and a system of multiscale PDEs that characterize the electrical propagation on thousands of personalized heart digital twins. DIMON can reduce the computational costs of solution approximations on multiple geometries from hours to seconds with substantially less computational resources.","url":"https://pubmed.ncbi.nlm.nih.gov/39653845/","authors":["Yin M","Charon N","Brody R","Lu L","Trayanova N","Maggioni M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1038/s43588-024-00732-2","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39653093","name":"Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation.","source":"pubmed","abstract":"Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological disorders and is the most common heart arrhythmia worldwide, affecting 2 % of the European population. This prevalence increases with age, imposing significant financial, economic, and human burdens. In Europe, stroke is the second leading cause of death and the primary cause of disability, with numbers expected to rise due to ageing and improved survival rates. Functional recovery from AF-related stroke is often unsatisfactory, leading to prolonged hospital stays, severe disability, and high mortality. Despite advances in AF and stroke research, the full pathophysiological and management issues between AF and stroke increasingly need innovative approaches such as artificial intelligence (AI) and machine learning (ML). Current risk assessment tools focus on static risk factors, neglecting the dynamic nature of risk influenced by acute illness, ageing, and comorbidities. Incorporating biomarkers and automated ECG analysis could enhance pathophysiological understanding. This paper highlights the need for personalised, integrative approaches in AF and stroke management, emphasising the potential of AI and ML to improve risk prediction, treatment personalisation, and rehabilitation outcomes. Further research is essential to optimise care and reduce the burden of AF and stroke on patients and healthcare systems.","url":"https://pubmed.ncbi.nlm.nih.gov/39653093/","authors":["Ortega-Martorell S","Olier I","Ohlsson M","Lip GYH","TARGET Consortium"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1016/j.tcm.2024.12.003","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39642636","name":"Beyond the sarcoma center: establishing the Sarcoma HASM network-a Hub and Spoke Model network for global integrated and precision care.","source":"pubmed","abstract":"The landscape of sarcoma treatment has evolved significantly, transitioning from amputations to limb-sparing surgeries, underpinned by advancements in multidisciplinary strategies. The establishment of specialized sarcoma centers has been pivotal, though challenges in accessibility and expertise persist. This manuscript proposes the Sarcoma Hub and Spoke Model (HASM) network to address these issues, enhancing coordination and expanding access to specialized care. The HASM network centralizes complex case management at hubs while peripheral spokes manage routine diagnostics and treatments, optimizing resource use and ensuring patient-centered care. Integration with digital interoperable platforms facilitates real-time/real-world data exchange, supports multidisciplinary team meetings, and enables advanced predictive analytics such as Sarcoma Digital Twins and causal machine learning for personalized treatment. The Sarcoma Care Data Warehouse further enhances this model by aggregating comprehensive patient data, supporting quality assessment and continuous improvement. This innovative approach aims to set a new standard for sarcoma care, leveraging technology and collaborative expertise to improve outcomes globally.","url":"https://pubmed.ncbi.nlm.nih.gov/39642636/","authors":["Fuchs B","Gronchi A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1016/j.esmoop.2024.103734","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39638489","name":"Metaverse forensics framework: A NIST based investigation framework for metaverse.","source":"pubmed","abstract":"The Metaverse is an intersection of virtual, augmented, and mixed reality that offers users an interactive virtual environment. This new technology has enormous possibilities for both people and companies. However, owing to the existence of inherent vulnerabilities associated with Metaverse, misconduct is a major concern. The Metaverse is set to greatly impact the global technology and commercial landscapes as it develops into a substantial technological platform. The Metaverse operates as an online platform that enables users to access and move about in virtual worlds through the usage of gadgets. Through the use of the digital twin design, which is frequently used in smart cities, closely mimics the real world. Even if the Metaverse is still in its early phases, there is already cause for alarm because of the possibility of criminal activity there. Therefore, conducting a digital forensic investigation within the Metaverse is essential to investigate crimes like virtual theft, fraud, money laundering, and burglary. In this research, the authors present a Metaverse forensic framework that classifies artifacts and maps them with the phases of the Cyber Kill Chain (CKC). The framework is based on the latest NIST digital forensic framework. The applicability of the proposed framework has been demonstrated by an application example that follows a typical malware attack.","url":"https://pubmed.ncbi.nlm.nih.gov/39638489/","authors":["Shandilya SK","Singh Y","Izonin I","Hentosh L"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov","doi":"10.1016/j.scijus.2024.10.005","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39634180","name":"Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control.","source":"pubmed","abstract":"Background: Type 2 Diabetes (T2D) is a complex condition marked by insulin resistance and beta-cell dysfunction. Traditional dietary interventions, such as low-calorie or low-carbohydrate diets, typically overlook individual variability in postprandial glycemic responses (PPGRs), which can lead to suboptimal management of the disease. Recent advancements suggest that personalized nutrition, tailored to individual metabolic profiles, may enhance the effectiveness of T2D management. Objective: This study aims to present the development and application of a Digital Twin (DT) technology-a machine learning (ML)-powered platform designed to predict and modulate PPGRs in T2D patients. By integrating continuous glucose monitoring (CGM), dietary data, and other physiological inputs, the DT provides individualized dietary recommendations to improve insulin sensitivity, reduce hyperinsulinemia, and support the remission of T2D. Methods: We developed a sophisticated DT platform that synthesizes real-time data from CGM, dietary logs, and other biometric inputs to create personalized metabolic models for T2D patients. The intervention is delivered via a mobile application, which dynamically adjusts dietary recommendations based on predicted PPGRs. This methodology is validated through a randomized controlled trial (RCT) assessing its impact on various metabolic markers, including HbA1c, metabolic-associated fatty liver disease (MAFLD), blood pressure, body weight, ASCVD risk, albuminuria, and diabetic retinopathy. Results: Preliminary data from the ongoing RCT and real-world study demonstrate the DT's capacity to generate significant improvements in glycemic control and metabolic health. The DT-driven personalized nutrition plan has been associated with reductions in HbA1c, enhanced beta-cell function, and normalization of hyperinsulinemia, supporting sustained T2D remission. Additionally, the DT's predictions have contributed to improvements in MAFLD markers, blood pressure, and cardiovascular risk factors, highlighting its potential as a comprehensive management tool. Conclusion: The DT technology represents a novel and scalable approach to personalized nutrition in T2D management. By addressing individual variability in PPGRs, this method offers a promising alternative to conventional dietary interventions, with the potential to improve long-term outcomes and reduce the global burden of T2D.","url":"https://pubmed.ncbi.nlm.nih.gov/39634180/","authors":["Shamanna P","Joshi S","Thajudeen M","Shah L","Poon T","Mohamed M","Mohammed J","Paramesh Shamanna","Shashank Joshi","Mohamed Thajudeen","Lisa Shah","Terrence Poon"],"tags":["Glycemic","Type 2 diabetes","Medicine","Diabetes mellitus","Model predictive control"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fendo.2024.1485464","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"pmid:39632966","name":"Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins.","source":"pubmed","abstract":"Numerical simulations of cardiovascular device deployment within digital twins of patient-specific anatomy can expedite and de-risk the device design process. Nonetheless, the exclusive use of patient-specific data constrains the anatomic variability that can be explored. We study how Latent Diffusion Models (LDMs) can edit digital twins to create digital siblings. Siblings can serve as the basis for comparative simulations, which can reveal how subtle anatomic variations impact device deployment, and augment virtual cohorts for improved device assessment. Using a case example centered on cardiac anatomy, we study various methods to generate digital siblings. We specifically introduce anatomic variation at different spatial scales or within localized regions, demonstrating the existence of bias toward common anatomic features. We furthermore leverage this bias for virtual cohort augmentation through selective editing, addressing issues related to dataset imbalance and diversity. Our framework delineates the capabilities of diffusion models in synthesizing anatomic variation for numerical simulation studies.","url":"https://pubmed.ncbi.nlm.nih.gov/39632966/","authors":["Kadry K","Gupta S","Nezami FR","Edelman ER"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 5","doi":"10.1038/s41746-024-01332-0","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39632463","name":"Quantitative Systems Pharmacology-Based Digital Twins Approach Supplements Clinical Trial Data for Enzyme Replacement Therapies in Pompe Disease.","source":"pubmed","abstract":"Pompe disease is a rare, progressive neuromuscular disease caused by deficient lysosomal glycogen degradation, and includes both late-onset (LOPD) and severe infantile-onset (IOPD) phenotypes. Due to very small patient numbers in IOPD and the high phenotypic heterogeneity observed in this population, a quantitative systems pharmacology (QSP)-based \"digital twin\" approach was developed to perform an in silico comparison of the efficacy of avalglucosidase alfa vs. the standard of care, in a virtual population of IOPD patients. A QSP model was developed that represents key elements of Pompe disease pathophysiology, including tissue glycogen accumulation and the elevation of the biomarker urine Hex4 in both LOPD and IOPD patients. In this approach, the QSP model was used to generate digital twins of each IOPD patient enrolled in the avalglucosidase alfa clinical program, considering their respective disease burden, demographics, and treatment history. This virtual cohort supplemented clinical observations by simulating and comparing tissue glycogen and urine Hex4 following avalglucosidase alfa treatment vs. the standard of care. The digital twin analysis supports the interpretation that the enhanced reduction in urine Hex4 observed following avalglucosidase alfa treatment is attributable to greater tissue glycogen clearance. Overall, this study provides mechanism-based insight into avalglucosidase alfa efficacy across the phenotypic spectrum of Pompe disease and demonstrates the value of applying a QSP-based digital twin analysis to support rare disease drug development.","url":"https://pubmed.ncbi.nlm.nih.gov/39632463/","authors":["Kaddi C","Tao M","Bergeler S","George K","Geerts H","van der Graaf PH","Batista JL","Foster M","Ortemann-Renon C","Zaher A","An Haack K","Zaph S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1002/cpt.3498","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39629824","name":"A Comprehensive Exploration of Digital Twinning in Spine Surgery.","source":"pubmed","abstract":"One recent innovation in the health care landscape is the integration of Digital Twin (DT) in the field of spine surgery. DT, first used in 2002 is defined as the replication of physical entities in a virtual environment. It has emerged as a transformative tool for optimizing complex systems. In this review, we delve into the intersection of DT and spine surgery, exploring how this symbiotic relationship is reshaping precision medicine. By creating virtual replicas of the spine and its intricate neural networks, surgeons gain insights into personalized patient care, preoperative planning, and postoperative analysis. This exploration tackles the potential impact of DT on neurosurgical procedures, emphasizing its role in enhancing surgical precision, improving patient outcomes, and pushing the boundaries of innovation in modern health care.","url":"https://pubmed.ncbi.nlm.nih.gov/39629824/","authors":["Lomax N","Vinjamuri S","Vinjamuri S","Franco D","Schroeder G","Harrop J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun 1","doi":"10.1097/BSD.0000000000001748","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39627216","name":"A multiscale model of immune surveillance in micrometastases gives insights on cancer patient digital twins.","source":"pubmed","abstract":"Metastasis is the leading cause of death in patients with cancer, driving considerable scientific and clinical interest in immunosurveillance of micrometastases. We investigated this process by creating a multiscale mathematical model to study the interactions between the immune system and the progression of micrometastases in general epithelial tissue. We analyzed the parameter space of the model using high-throughput computing resources to generate over 100,000 virtual patient trajectories. We demonstrated that the model could recapitulate a wide variety of virtual patient trajectories, including uncontrolled growth, partial response, and complete immune response to tumor growth. We classified the virtual patients and identified key patient parameters with the greatest effect on the simulated immunosurveillance. We highlight the lessons derived from this analysis and their impact on the nascent field of cancer patient digital twins (CPDTs). While CPDTs could enable clinicians to systematically dissect the complexity of cancer in each individual patient and inform treatment choices, our work shows that key challenges remain before we can reach this vision. In particular, we show that there remain considerable uncertainties in immune responses, unreliable patient stratification, and unpredictable personalized treatment. Nonetheless, we also show that in spite of these challenges, patient-specific models suggest strategies to increase control of clinically undetectable micrometastases even without complete parameter certainty.","url":"https://pubmed.ncbi.nlm.nih.gov/39627216/","authors":["L Rocha H","Aguilar B","Getz M","Shmulevich I","Macklin P"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 4","doi":"10.1038/s41540-024-00472-z","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39626595","name":"Development of a code system for allergens and its integration into the HL7 FHIR AllergyIntolerance resource.","source":"pubmed","abstract":"Allergy code systems are essential for safety and medical information interoperability. However, current terminology systems lack allergens unique to Japan.","url":"https://pubmed.ncbi.nlm.nih.gov/39626595/","authors":["Kawazoe Y","Nagashima S","Yokota S","Ohe K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1016/j.ijmedinf.2024.105739","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39624205","name":"Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies.","source":"pubmed","abstract":"This perspective article explores the convergence of advanced digital technologies, including high-performance computing (HPC), artificial intelligence, machine learning, and sophisticated data management workflows. The primary objective is to enhance the accessibility of multiscale simulations and their integration with other computational techniques, thereby advancing the field of nanomaterials technologies. The proposed approach relies on key strategies and digital technologies employed to achieve efficient and innovative materials discovery, emphasizing a fully digital, data-centric methodology. The integration of methodologies rooted in knowledge and structured information management serves as a foundational element, establishing a framework for representing materials-related information and ensuring interoperability across a diverse range of tools. The paper explores the distinctive features of digital and data-centric approaches and technologies for materials development. It highlights the role of digital twins in research, particularly in the realm of nanomaterials development and examines the impact of knowledge engineering in establishing data and information standards to facilitate interoperability. Furthermore, the paper explores the role of deployment technologies in managing HPC infrastructures. It also addresses the pairing of these technologies with user-friendly development tools to support the adoption of digital methodologies in advanced research.","url":"https://pubmed.ncbi.nlm.nih.gov/39624205/","authors":["Le Piane F","Vozza M","Baldoni M","Mercuri F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3762/bjnano.15.119","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39623293","name":"Participant engagement and involvement in longitudinal cohort studies: qualitative insights from a selection of pregnancy and birth, twin, and family-based population cohort studies.","source":"pubmed","abstract":"Longitudinal cohort studies are pivotal to understand how socioeconomic, environmental, biological, and lifestyle factors influence health and disease. The added value of cohort studies increases as they accumulate life course data and expand across generations. Ensuring that participants stay motivated to contribute over decades of follow-up is, however, challenging. Participant engagement and involvement (PEI) aims to secure the long-term commitment of participants and promote researcher-participant interaction. This study explored PEI practices in a selection of pregnancy and birth, twin, and family-based population cohort studies.","url":"https://pubmed.ncbi.nlm.nih.gov/39623293/","authors":["Budin-Ljøsne I","Fredheim NAG","Jevne CA","Kleven BM","Charles MA","Felix JF","Flaig R","García MP","Havdahl A","Islam S","Kerr SM","Meder IK","Molloy L","Morton SMB","Pizzi C","Rahman A","Willemsen G","Wood D","Harris JR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 3","doi":"10.1186/s12874-024-02419-8","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39622083","name":"Digital Twin for EEG seizure prediction using time reassigned Multisynchrosqueezing transform-based CNN-BiLSTM-Attention mechanism model.","source":"pubmed","abstract":"The prediction of epileptic seizures is a classical research problem, representing one of the most challenging tasks in the analysis of brain disorders. There is active research into digital twins (DT) for various healthcare applications, as they can transform research into customized and personalized healthcare. The widespread adoption of DT technology relies on ample patient data to ensure precise monitoring and decision-making, leveraging Machine Learning (ML) and Deep Learning (DL) algorithms. Given the non-stationarity of EEG recordings, characterized by substantial frequency variations over time, there is a notable preference for advanced time-frequency methods in seizure prediction. This research proposes a DT-based seizure prediction system by applying an advanced time-frequency analysis approach known as Time-Reassigned MultiSynchroSqueezing Transform (TMSST) to EEG data to extract patient-specific impulse features and subsequently, a Deep Learning strategy, CNN-BiLSTM-Attention mechanism model is utilized in learning and classifying features for seizure prediction. The proposed architecture is named as 'Digital Twin-Net'. By estimating the group delay in the time direction, TMSST produces the frequency components that are responsible for the EEG signal's temporal behavior and those time-frequency signatures are learned by the developed CNN-BiLSTM-Attention mechanism model. Thus the combination acts as a digital twin of a patient for the prediction of epileptic seizures. The experimental results showed that the suggested approach achieved an accuracy of 99.70% when tested on 22 patients from the publicly accessible CHB-MIT dataset. The proposed method surpasses previous solutions in terms of overall performance. Consequently, the suggested method can be regarded as an efficient approach to EEG seizure prediction.","url":"https://pubmed.ncbi.nlm.nih.gov/39622083/","authors":["Ghosh A","Dey D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 11","doi":"10.1088/2057-1976/ad992c","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39621178","name":"Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning.","source":"pubmed","abstract":"This study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall process into three main sub-steps. The operating electrical power was further formulated as a combinatorial&#xa0;function, based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and EC. Parallel-arranged networks were constructed to investigate the impacts of fabrication variables and devices on power. Considering the interconnections among these factors, the outputs of the neural networks were blended and fused to jointly predict the&#xa0;electrical power. Most innovatively, large artifacts can be decomposed into time-dependent laser-scanning trajectories, which can be further transformed into fusionable information via neural networks,&#xa0;inspired by large language model. Accordingly, transfer learning can deal with either scale-down or scale-up forecasting, namely, FTL with scalability within artifact structures. The effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed fusion. The relative error of the average and overall EC predictions based on FTL was maintained below 0.83%. The melting fusion quality was examined using metallographic diagrams. The proposed FTL framework can forecast the EC of scaled structures, which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.","url":"https://pubmed.ncbi.nlm.nih.gov/39621178/","authors":["Wang L","Xu J","Zhang S","Tan J","Fei S","Shi X","Pang J","Luo S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1186/s42492-024-00178-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39617892","name":"Peripheral artery disease, antithrombotic treatment and outcomes in European and Asian patients with atrial fibrillation: analysis from two prospective observational registries.","source":"pubmed","abstract":"In patients with atrial fibrillation (AF), the impact of peripheral artery disease (PAD) on oral anticoagulant (OAC) therapy use and the risk of outcomes remains unclear.","url":"https://pubmed.ncbi.nlm.nih.gov/39617892/","authors":["Mei DA","Romiti GF","Bucci T","Corica B","Imberti JF","Bonini N","Vitolo M","Shantsila A","Tse HF","Chao TF","Boriani G","Proietti M","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 2","doi":"10.1186/s12916-024-03792-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39616170","name":"Enabling additive manufacturing part inspection of digital twins via collaborative virtual reality.","source":"pubmed","abstract":"Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM DTs typically incorporate multimodal data streams, ranging from machine toolpaths and in-process imaging to X-ray CT scans and performance metrics. Despite the evolution of DT platforms, challenges remain in effectively inspecting them for actionable insights, either individually or in a multidisciplinary, geographically distributed team setting. Quality assurance, manufacturing departments, pilot labs, and plant operations must collaborate closely to reliably produce parts at scale. This is particularly crucial in AM where complex structures require a collaborative and multidisciplinary approach. Additionally, the large-scale data originating from different modalities and their inherent 3D nature pose significant hurdles for traditional 2D desktop-based inspection methods. To address these challenges and increase the value proposition of DTs, we introduce a novel virtual reality (VR) framework to facilitate collaborative and real-time inspection of DTs in AM. This framework includes advanced features for intuitive alignment and visualization of multimodal data, visual occlusion management, streaming large-scale volumetric data, and collaborative tools, substantially improving the inspection of AM components and processes to fully exploit the potential of DTs in AM.","url":"https://pubmed.ncbi.nlm.nih.gov/39616170/","authors":["Chheang V","Narain S","Hooten G","Cerda R","Au B","Weston B","Giera B","Bremer PT","Miao H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 30","doi":"10.1038/s41598-024-80541-9","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39616158","name":"Immune digital twins for complex human pathologies: applications, limitations, and challenges.","source":"pubmed","abstract":"Digital twins represent a key technology for precision health. Medical digital twins consist of computational models that represent the health state of individual patients over time, enabling optimal therapeutics and forecasting patient prognosis. Many health conditions involve the immune system, so it is crucial to include its key features when designing medical digital twins. The immune response is complex and varies across diseases and patients, and its modelling requires the collective expertise of the clinical, immunology, and computational modelling communities. This review outlines the initial progress on immune digital twins and the various initiatives to facilitate communication between interdisciplinary communities. We also outline the crucial aspects of an immune digital twin design and the prerequisites for its implementation in the clinic. We propose some initial use cases that could serve as \"proof of concept\" regarding the utility of immune digital technology, focusing on diseases with a very different immune response across spatial and temporal scales (minutes, days, months, years). Lastly, we discuss the use of digital twins in drug discovery and point out emerging challenges that the scientific community needs to collectively overcome to make immune digital twins a reality.","url":"https://pubmed.ncbi.nlm.nih.gov/39616158/","authors":["Niarakis A","Laubenbacher R","An G","Ilan Y","Fisher J","Flobak Å","Reiche K","Rodríguez Martínez M","Geris L","Ladeira L","Veschini L","Blinov ML","Messina F","Fonseca LL","Ferreira S","Montagud A","Noël V","Marku M","Tsirvouli E","Torres MM","Harris LA","Sego TJ","Cockrell C","Shick AE","Balci H","Salazar A","Rian K","Hemedan AA","Esteban-Medina M","Staumont B","Hernandez-Vargas E","Martis B S","Madrid-Valiente A","Karampelesis P","Sordo Vieira L","Harlapur P","Kulesza A","Nikaein N","Garira W","Malik Sheriff RS","Thakar J","Tran VDT","Carbonell-Caballero J","Safaei S","Valencia A","Zinovyev A","Glazier JA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 30","doi":"10.1038/s41540-024-00450-5","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39615399","name":"Poor clinical outcomes associated to multimorbidity, frailty and malnutrition in patients with atrial fibrillation.","source":"pubmed","abstract":"Atrial fibrillation (AF) patients often present with a higher prevalence of comorbidities, frailty, and malnutrition. We investigated if multimorbidity, frailty and malnutrition were associated with clinical outcomes in patients with AF starting vitamin K antagonist (VKA) therapy.","url":"https://pubmed.ncbi.nlm.nih.gov/39615399/","authors":["Soler-Espejo E","Zazo-Luengo BÁ","Rivera-Caravaca JM","López-Gávez R","Esteve-Pastor MA","Lip GYH","Marín F","Roldán V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1016/j.jnha.2024.100430","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39615195","name":"A computational workflow for modeling complex patient-specific coronary stenting cases.","source":"pubmed","abstract":"In the era of in silico clinical trials, it is of paramount importance to guarantee simulation reliability. In the field of coronary stenting, there is a need to couple validated stent models with credible digital twins of the arteries, whose mechanical behavior is commonly simplified to guarantee a balance between simulation complexity and computational time, namely usability. To this aim, the current work proposed a phenomenological approach suitable for the mechanical description of patient-specific coronary arteries undergoing coronary stenting in complex cases, e.g. bifurcations, exhibiting overstretching due to procedural choices.","url":"https://pubmed.ncbi.nlm.nih.gov/39615195/","authors":["Antonini L","Poletti G","Karanasiou GS","Sakellarios A","Fotiadis DI","Petrini L","Pennati G","Berti F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.cmpb.2024.108527","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39613755","name":"Conditional neural field latent diffusion model for generating spatiotemporal turbulence.","source":"pubmed","abstract":"Eddy-resolving turbulence simulations are essential for understanding and controlling complex unsteady fluid dynamics, with significant implications for engineering and scientific applications. Traditional numerical methods, such as direct numerical simulations (DNS) and large eddy simulations (LES), provide high accuracy but face severe computational limitations, restricting their use in high-Reynolds number or real-time scenarios. Recent advances in deep learning-based surrogate models offer a promising alternative by providing efficient, data-driven approximations. However, these models often rely on deterministic frameworks, which struggle to capture the chaotic and stochastic nature of turbulence, especially under varying physical conditions and complex, irregular geometries. Here, we introduce the Conditional Neural Field Latent Diffusion (CoNFiLD) model, a generative learning framework for efficient high-fidelity stochastic generation of spatiotemporal turbulent flows in complex, three-dimensional domains. CoNFiLD synergistically integrates conditional neural field encoding with latent diffusion processes, enabling memory-efficient and robust generation of turbulence under diverse conditions. Leveraging Bayesian conditional sampling, CoNFiLD flexibly adapts to various turbulence generation scenarios without retraining. This capability supports applications such as zero-shot full-field flow reconstruction from sparse sensor data, super-resolution generation, and spatiotemporal data restoration. Extensive numerical experiments demonstrate CoNFiLD's capability to accurately generate inhomogeneous, anisotropic turbulent flows within complex domains. These findings underscore CoNFiLD's potential as a versatile, computationally efficient tool for real-time unsteady turbulence simulation, paving the way for advancements in digital twin technology for fluid dynamics. By enabling rapid, adaptive high-fidelity simulations, CoNFiLD can bridge the gap between physical and virtual systems, allowing real-time monitoring, predictive analysis, and optimization of complex fluid processes.","url":"https://pubmed.ncbi.nlm.nih.gov/39613755/","authors":["Du P","Parikh MH","Fan X","Liu XY","Wang JX"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 29","doi":"10.1038/s41467-024-54712-1","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39613203","name":"Risk of death and thrombosis in patients admitted to the emergency department with supraventricular tachycardias.","source":"pubmed","abstract":"Few data are available on the clinical course of patients with supraventricular tachycardia (SVT).","url":"https://pubmed.ncbi.nlm.nih.gov/39613203/","authors":["Bucci T","Gerra L","Lam SHM","Argyris AA","Boriani G","Proietti R","Bisson A","Fauchier L","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jun","doi":"10.1016/j.hrthm.2024.11.044","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39610261","name":"Innovative food supply chain through spatial computing technologies: A review.","source":"pubmed","abstract":"The global food supply chain faces significant challenges related to inefficiencies, quality variability, and traceability issues, all of which contribute to food waste and consumer distrust. Spatial computing (SC) technologies, including augmented reality (AR), virtual reality (VR), and digital twins, offer promising solutions by enhancing precision agriculture, logistics, manufacturing, and retail operations. This review explores SC's potential across the entire food supply continuum, emphasizing improvements in resource management, supply chain transparency, and consumer engagement. Despite its promise, the widespread adoption of SC is limited by technical challenges and a lack of standardized protocols. The findings suggest that while SC has the potential to revolutionize the food supply chain by improving sustainability, efficiency, and safety, further interdisciplinary research and collaboration are essential to fully unlock its capabilities.","url":"https://pubmed.ncbi.nlm.nih.gov/39610261/","authors":["Ma P","Jia X","Gao M","Yi Z","Tsai S","He Y","Zhen D","Blaustein RA","Wang Q","Wei CI","Fan B","Wang F"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov","doi":"10.1111/1541-4337.70055","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39608251","name":"Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing.","source":"pubmed","abstract":"Cardiac digital twins are computational tools capturing key functional and anatomical characteristics of patient hearts for investigating disease phenotypes and predicting responses to therapy. When paired with large-scale computational resources and large clinical datasets, digital twin technology can enable virtual clinical trials on virtual cohorts to fast-track therapy development. Here, we present an open-source automated pipeline for personalising ventricular electrophysiological function based on routinely acquired magnetic resonance imaging (MRI) data and the standard 12-lead electrocardiogram (ECG). Using MRI-based anatomical models, a sequential Monte-Carlo approximate Bayesian computational inference method is extended to infer electrical activation and repolarisation characteristics from the ECG. Fast simulations are conducted with a reaction-Eikonal model, including the Purkinje network and biophysically-detailed subcellular ionic current dynamics for repolarisation. For each patient, parameter uncertainty is represented by inferring an envelope of plausible ventricular models rather than a single one, which means that parameter uncertainty can be propagated to therapy evaluation. Furthermore, we have developed techniques for translating from reaction-Eikonal to monodomain simulations, which allows more realistic simulations of cardiac electrophysiology. The pipeline is demonstrated in three healthy subjects, where our inferred pseudo-diffusion reaction-Eikonal models reproduced the patient's ECG with a median Pearson's correlation coefficient of 0.9, and then translated to monodomain simulations with a median correlation coefficient of 0.84 across all subjects. We then demonstrate our digital twins for virtual evaluation of Dofetilide with uncertainty quantification. These evaluations using our cardiac digital twins reproduced dose-dependent QTc and T peak to T end prolongations that are in keeping with large population drug response data. The methodologies for cardiac digital twinning presented here are a step towards personalised virtual therapy testing and can be scaled to generate virtual populations for clinical trials to fast-track therapy evaluation. The tools developed for this paper are open-source, documented, and made publicly available.","url":"https://pubmed.ncbi.nlm.nih.gov/39608251/","authors":["Camps J","Wang ZJ","Doste R","Berg LA","Holmes M","Lawson B","Tomek J","Burrage K","Bueno-Orovio A","Rodriguez B"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1016/j.media.2024.103361","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39605865","name":"X-ray fluoroscopy guided localization and steering of miniature robots using virtual reality enhancement.","source":"pubmed","abstract":"In developing medical interventions using untethered milli- and microrobots, ensuring safety and effectiveness relies on robust methods for real-time robot detection, tracking, and precise localization within the body. The inherent non-transparency of human tissues significantly challenges these efforts, as traditional imaging systems like fluoroscopy often lack crucial anatomical details, potentially compromising intervention safety and efficacy. To address this technological gap, in this study, we build a virtual reality environment housing an exact digital replica (digital twin) of the operational workspace and a robot avatar. We synchronize the virtual and real workspaces and continuously send the robot position data derived from the image stream into the digital twin with short average delay time around 20-25 ms. This allows the operator to steer the robot by tracking its avatar within the digital twin with near real-time temporal resolution. We demonstrate the feasibility of this approach with millirobots steered in confined phantoms. Our concept demonstration herein can pave the way for not only improved procedural safety by complementing fluoroscopic guidance with virtual reality enhancement, but also provides a platform for incorporating various additional real-time derivative data, e.g., instantaneous robot velocity, intraoperative physiological data obtained from the patient, e.g., blood flow rate, and pre-operative physical simulation models, e.g., periodic body motions, to further refine robot control capacity.","url":"https://pubmed.ncbi.nlm.nih.gov/39605865/","authors":["Alabay HH","Le TA","Ceylan H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/frobt.2024.1495445","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39604584","name":"A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction.","source":"pubmed","abstract":"Addressing drug-induced liver injury is crucial in drug development, often causing Phase III trial failures and market withdrawals. Traditional animal models fail to predict human liver toxicity accurately. Virtual twins of human organs present a promising solution. We introduce the Virtual Hepatic Lobule, a foundational element of the Living Liver, a multi-scale liver virtual twin. This model integrates blood flow dynamics and an acetaminophen-induced injury model to predict hepatocyte injury patterns specific to patients. By incorporating metabolic zonation, our predictions align with clinical zonal hepatotoxicity observations. This methodology advances the development of a human liver virtual twin, aiding in the prediction and validation of drug-induced liver injuries.","url":"https://pubmed.ncbi.nlm.nih.gov/39604584/","authors":["Camara Dit Pinto S","Cherkaoui J","Ghosh D","Cazaubon V","Benzeroual KE","Levine SM","Cherkaoui M","Sood GK","Anandasabapathy S","Dhingra S","Vierling JM","Gallo NR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 28","doi":"10.1038/s41746-024-01349-5","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39602312","name":"Could digital twins be the next revolution in healthcare?","source":"pubmed","abstract":"A Digital Twin (DT) can be understood as a representation of a real asset, a virtual replica of a physical object, process, or even a system. They have been used in managing healthcare facilities, streamlining care processes, personalizing treatments, and enhancing patient recovery. The potential impact of this tool on our society and its well-being is quite significant. A quick review of the literature was carried out using the terms ('Digital Twins') and ('Digital Health'), and (Health Care) with a time interval of up to 5&#x2009;years (2018-23). Using the PRISMA Method, the search was conducted in six academic databases: IEEE Xplore, Dimensions, Scopus, Web of Science, PubMed, and ACM. After applying the search strings and the exclusion criteria, a total of 13 publications were identified and listed to constitute and support the discussion of this article. The selected studies were categorized into 2 groups according to their application in healthcare: A group of clinical applications, subdivided into topics on personalized care and reproduction of biological structures and another group of operational applications, subdivided into topics such as optimization of operational processes, reproduction of physical structures, and development of devices and drugs. The use of DT in healthcare presents important challenges related to data integration, privacy, and interoperability. However, trends indicate exciting potential in personalizing treatment, prevention, remote monitoring, informed decision-making, and process management, which can result in significant improvements in quality and efficiency in healthcare.","url":"https://pubmed.ncbi.nlm.nih.gov/39602312/","authors":["de Oliveira El-Warrak L","Miceli de Farias C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb 1","doi":"10.1093/eurpub/ckae191","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39599178","name":"Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System.","source":"pubmed","abstract":"This article discusses the issue of the joint use of neural network algorithms for data processing and deterministic mathematical models. The use of a new approach is proposed, to determine the discrepancy between data from a vibration monitoring system of the cutting process and the calculated data obtained by modeling mathematical models of the digital twin system of the cutting process. This approach is justified by the fact that some coordinates for the state of the cutting process cannot be measured, and the vibration signals measured by the vibration monitoring system (the vibration acceleration of the tip of the cutting tool) are subject to external disturbing influences. Both the experimental method and the Matlab 2022b simulation method were used as research methods. The experimental research method is based on the widespread use of modern analog vibration transducers, the signals from which undergo the process of digitalization and further processing in order to identify arrays of additional information required for virtual digital twin models. The results obtained allow us to formulate a new conceptual approach to the construction of systems for determining the degree of cutting tool wear, based on the joint use of computational virtual models of the digital twin system and data obtained from the vibration monitoring system of the cutting process.","url":"https://pubmed.ncbi.nlm.nih.gov/39599178/","authors":["Viktor L","Ilya T","Valeriya G","Ilya D","Denis G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 20","doi":"10.3390/s24227403","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39599167","name":"Special Issue: Artificial Intelligence and Smart Sensor-Based Industrial Advanced Technology.","source":"pubmed","abstract":"With the rapid growth of smart sensors and industrial data, artificial intelligence (AI) technology (such as machine learning, machine vision, multi-sensor fusion, cloud computing, edge computing, digital twins, etc [...].","url":"https://pubmed.ncbi.nlm.nih.gov/39599167/","authors":["Jia L","Sun B","Tan W","Zhang S","Zhang B","Zhu J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 20","doi":"10.3390/s24227391","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39599128","name":"Toward Improving Human Training by Combining Wearable Full-Body IoT Sensors and Machine Learning.","source":"pubmed","abstract":"This paper proposes DigitalUpSkilling, a novel IoT- and AI-based framework for improving and personalising the training of workers who are involved in physical-labour-intensive jobs. DigitalUpSkilling uses wearable IoT sensors to observe how individuals perform work activities. Such sensor observations are continuously processed to synthesise an avatar-like kinematic model for each worker who is being trained, referred to as the worker's digital twins. The framework incorporates novel work activity recognition using generative adversarial network (GAN) and machine learning (ML) models for recognising the types and sequences of work activities by analysing an individual's kinematic model. Finally, the development of skill proficiency ML is proposed to evaluate each trainee's proficiency in work activities and the overall task. To illustrate DigitalUpSkilling from wearable IoT-sensor-driven kinematic models to GAN-ML models for work activity recognition and skill proficiency assessment, the paper presents a comprehensive study on how specific meat processing activities in a real-world work environment can be recognised and assessed. In the study, DigitalUpSkilling achieved 99% accuracy in recognising specific work activities performed by meat workers. The study also presents an evaluation of the proficiency of workers by comparing kinematic data from trainees performing work activities. The proposed DigitalUpSkilling framework lays the foundation for next-generation digital personalised training.","url":"https://pubmed.ncbi.nlm.nih.gov/39599128/","authors":["Akter N","Molnar A","Georgakopoulos D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 18","doi":"10.3390/s24227351","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39598960","name":"Construction Method of a Digital-Twin Simulation System for SCARA Robots Based on Modular Communication.","source":"pubmed","abstract":"Due to the high cost of robots, the algorithm testing cost for physical robots is high, and the construction of motion control programs is complex, with low operation fault tolerance. To address this issue, this paper proposes a low-cost, cross-platform SCARA robot digital-twin simulation system based on the concept of digital twins. This method establishes a 5D architecture based on the characteristics of different platforms, classifies data and integrates functions, and designs a data-processing layer for motion trajectory calculation and data storage for a virtual-reality robot. To address the complexity of data interaction under different cross-platform communication forms, an editable, modular, cross-platform communication system is constructed, and various control commands are encapsulated into simple programming statements for easy invocation. Experimental results showed that, based on modular communication control, users can accurately control data communication and synchronous motion between virtual and physical models using simple command statements, reducing the development cost of control algorithms. Meanwhile, the virtual-robot simulation system, as a data mapping of the real experimental platform, accurately simulated the physical robot's operating state and spatial environment. The robot algorithms tested using the virtual simulation system can be successfully applied to real robot platforms, accurately reproducing the operating results of the virtual system.","url":"https://pubmed.ncbi.nlm.nih.gov/39598960/","authors":["Zhang Z","Guo Q","Grigorev MA","Kholodilin I"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 9","doi":"10.3390/s24227183","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39598901","name":"Charge Diffusion and Repulsion in Semiconductor Detectors.","source":"pubmed","abstract":"Semiconductor detectors for high-energy sensing (X/&#x3b3;-rays) play a critical role in fields such as astronomy, particle physics, spectroscopy, medical imaging, and homeland security. The increasing need for precise detector characterization highlights the importance of developing advanced digital twins, which help optimize the design and performance of imaging systems. Current simulation frameworks primarily focus on modeling electron-hole pair dynamics within the semiconductor bulk after the photon absorption, leading to the current signals at the nearby electrodes. However, most simulations neglect charge diffusion and Coulomb repulsion, which spatially expand the charge cloud during propagation due to the high complexity they add to the physical models. Although these effects are relatively weak, their inclusion is essential for achieving a high-fidelity replication of real detector behavior. There are some existing methods that successfully incorporate these two phenomena with minimal computational cost, including those developed by Gatti in 1987 and by Benoit and Hamel in 2009. The present work evaluates these two approaches and proposes a novel Monte Carlo technique that offers higher accuracy in exchange for increased computational time. Our new method enables more realistic performance predictions while remaining within practical computational limits.","url":"https://pubmed.ncbi.nlm.nih.gov/39598901/","authors":["Ballester M","Kaspar J","Massanés F","Vija AH","Katsaggelos AK"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 6","doi":"10.3390/s24227123","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39598671","name":"Atomistic Modeling of Natural Gas Desulfurization Process Using Task-Specific Deep Eutectic Solvents Supported by Graphene Oxide.","source":"pubmed","abstract":"This study employs Density Functional Theory (DFT) calculations and traditional all-atom Molecular Dynamics (MD) simulations to reveal atomistic insights into a task-specific Deep Eutectic Solvent (DES) supported by graphene oxide with the aim of mimicking its application in the natural gas desulfurization process. The DES, composed of N,N,N',N'-tetramthyl-1,6-hexane diamine acetate (TMHDAAc) and methyldiethanolamine (MDEA) supported by graphene oxide, demonstrates improved efficiency in removing hydrogen sulfide from methane. Optimized structure and HOMO-LUMO orbital analyses reveal the distinct spatial arrangements and interactions between hydrogen sulfide, methane, and DES components, highlighting the efficacy of the DES in facilitating the separation of hydrogen sulfide from methane through DFT calculations. The radial distribution function (RDF) and interaction energies, as determined by traditional all-atom MD simulations, provide insights into the specificity and strength of the interactions between the DES components supported by graphene oxide and hydrogen sulfide. Importantly, the stability of the DES structure supported by graphene oxide is maintained after mixing with the fuel, ensuring its robustness and suitability for prolonged desulfurization processes, as evidenced by traditional all-atom MD simulation results. These findings offer crucial insights into the molecular-level mechanisms underlying the desulfurization of natural gas, guiding the design and optimization of task-specific DESs supported by graphene oxide for sustainable and efficient natural gas purification.","url":"https://pubmed.ncbi.nlm.nih.gov/39598671/","authors":["Ismagambetov O","Aldiyarov N","Almas N","Irgibaeva I","Baitassova Z","Piskunov S","Aldongarov A","Abdirashev O"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 8","doi":"10.3390/molecules29225282","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39597295","name":"Broaching Digital Twin to Predict Forces, Local Overloads, and Surface Topography Irregularities.","source":"pubmed","abstract":"Broaching is a key manufacturing process that directly influences the surface integrity of critical components, impacting their functional performance in sectors such as aeronautics, automotive, and energy. Such components are subjected to severe conditions, including high thermomechanical loads, fatigue, and corrosion. For this reason, the development of predictive models is essential for determining the optimal tool design and machining conditions to ensure proper in-service performance. This study, therefore, presents a broaching digital twin based on hybrid modelling, which combines analytical, numerical, and empirical approaches to provide rapid and accurate predictions of the forces per tooth, local overloads, and surface topography irregularities. The digital twin was validated with a critical industrial case study involving fir-tree broaching of turbine discs made of forged and age-hardened Inconel 718. The accuracy of the digital twin was demonstrated by the results: the average error in force predictions was below 10%, and the model effectively identified the most critical teeth and zones prone to failure. It also predicted surface topography irregularities with an error of less than 15%. Interestingly, the relationship between surface topography irregularities and surface residual stress variations across the machined surface was observed experimentally for the first time.","url":"https://pubmed.ncbi.nlm.nih.gov/39597295/","authors":["Ortiz-de-Zarate G","Madariaga A","Soler D","Arrazola PJ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3390/ma17225471","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39594772","name":"Advancing Precision Oncology with Digital and Virtual Twins: A Scoping Review.","source":"pubmed","abstract":"Digital twins (DTHs) and virtual twins (VTHs) in healthcare represent emerging technologies towards precision medicine, providing opportunities for patient-centric healthcare. Our scoping review aimed to map the current DTH and VTH technologies in oncology, summarize their technical solutions, and assess their credibility. A systematic search was conducted in the main bibliographic databases, identifying 441 records, of which 30 were included. The studies covered a wide range of cancers, including breast, lung, colorectal, and gastrointestinal malignancies, with DTH and VTH applications focusing on diagnosis, therapy, and monitoring. The results revealed heterogeneity in targeted topics, technical approaches, and outcomes. Most twining solutions use synthetic or limited real-world data, raising concerns regarding their reliability. Few studies have integrated real-time data and machine learning for predictive modeling. Technical challenges include data integration, scalability, and ethical considerations, such as data privacy and security. Moreover, the evidence lacks sufficient clinical validation, with only partial credibility in most cases. Our findings underscore the need for multidisciplinary collaboration among end-users and developers to address the technical and ethical challenges of DTH and VTH systems. Although promising for the future of personalized oncology, substantial steps are required to move beyond experimental frameworks and to achieve clinical implementation.","url":"https://pubmed.ncbi.nlm.nih.gov/39594772/","authors":["Ștefănigă SA","Cordoș AA","Ivascu T","Feier CVI","Muntean C","Stupinean CV","Călinici T","Aluaș M","Bolboacă SD","Sebastian-Aurelian Ştefănigă","Ariana‐Anamaria Cordoș","Todor Ivaşcu"],"tags":["Credibility","Multidisciplinary approach","Precision medicine","Data science","Computer science"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 13","doi":"10.3390/cancers16223817","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"pmid:39593898","name":"The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder.","source":"pubmed","abstract":"Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions worldwide. Computational neuropsychiatry offers potential breakthroughs through the mechanistic modeling of this disorder. Using the Kolmogorov theory (KT) of consciousness, we developed a foundational model where algorithmic agents interact with the world to maximize an Objective Function evaluating affective valence. Depression, defined in this context by a state of persistently low valence, may arise from various factors-including inaccurate world models (cognitive biases), a dysfunctional Objective Function (anhedonia, anxiety), deficient planning (executive deficits), or unfavorable environments. Integrating algorithmic, dynamical systems, and neurobiological concepts, we map the agent model to brain circuits and functional networks, framing potential etiological routes and linking with depression biotypes. Finally, we explore how brain stimulation, psychotherapy, and plasticity-enhancing compounds such as psychedelics can synergistically repair neural circuits and optimize therapies using personalized computational models.","url":"https://pubmed.ncbi.nlm.nih.gov/39593898/","authors":["Ruffini G","Castaldo F","Lopez-Sola E","Sanchez-Todo R","Vohryzek J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 6","doi":"10.3390/e26110953","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39590593","name":"Digital Twins' Advancements and Applications in Healthcare, Towards Precision Medicine.","source":"pubmed","abstract":"This review examines the significant influence of Digital Twins (DTs) and their variant, Digital Human Twins (DHTs), on the healthcare field. DTs represent virtual replicas that encapsulate both medical and physiological characteristics-such as tissues, organs, and biokinetic data-of patients. These virtual models facilitate a deeper understanding of disease progression and enhance the customization and optimization of treatment plans by modeling complex interactions between genetic factors and environmental influences. By establishing dynamic, bidirectional connections between the DTs of physical objects and their digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging the increasing availability of extensive historical datasets from clinical trials and real-world sources, AI models can now generate comprehensive predictions of future health outcomes for specific patients in the form of AI-generated DTs. Such models can also offer insights into potential diagnoses, disease progression, and treatment responses. This remarkable progression in healthcare paves the way for precision medicine and personalized health, allowing for high-level individualized medical interventions and therapies. However, the integration of DTs into healthcare faces several challenges, including data security, accessibility, bias, and quality. Addressing these obstacles is crucial to realizing the full potential of DHTs, heralding a new era of personalized, precise, and accurate medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/39590593/","authors":["Papachristou K","Katsakiori PF","Papadimitroulas P","Strigari L","Kagadis GC"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 11","doi":"10.3390/jpm14111101","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39588652","name":"A nanobody-based microfluidic chip for fast and automated purification of protein complexes.","source":"pubmed","abstract":"Many proteins, especially eukaryotic proteins, membrane proteins and protein complexes, are challenging to study because they are difficult to purify in their native state without disrupting the interactions with their partners. Hence, our lab developed a novel purification technique employing Nanobodies&#xae; (Nbs). This technique, called nanobody exchange chromatography (NANEX), utilises an immobilised low-affinity Nb to capture the target protein, which is subsequently eluted - along with its interaction partners - by introducing a high-affinity Nb. In line with the growing trend towards studying proteins in smaller sample sizes, the present study validates miniaturisation of NANEX in a packed bed microfluidic (&#x3bc;NANEX) chip. This &#x3bc;NANEX setup integrates up to five submicroliter silicon chips, enabling fully automated and reproducible purifications within minutes. Additionally, a digital twin model of the &#x3bc;NANEX column, which accurately predicts the effect of the reaction kinetics and mass transfer on the elution peaks, has been validated over a broad range of experimental conditions. The effectiveness of the method is demonstrated with Nbs binding to the green fluorescent protein (GFP), allowing streamlined purification of any GFP fusion protein from biological samples. Specifically, we used &#x3bc;NANEX to purify 0.1-1 &#x3bc;g of GFP-fused yeast proteins from 20 &#x3bc;L crude lysate and identified their interaction partners via mass spectrometry, showing that &#x3bc;NANEX purification preserves protein complexes.","url":"https://pubmed.ncbi.nlm.nih.gov/39588652/","authors":["De Keyser P","de Waard M","Jimidar ISM","Verloy S","Janvier S","Kalichuk V","Zögg T","Wohlkönig A","Pardon E","Steyaert J","Desmet G"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 3","doi":"10.1039/d4lc00728j","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39587767","name":"Advances and utility of digital twins in critical care and acute care medicine: a narrative review.","source":"pubmed","abstract":"Artificial intelligence (AI) has shown promise for revolutionizing healthcare. This narrative review focuses on the evolving discussion of the utility of AI and clinical informatics in critical care and acute care medicine, specifically focusing on digital twin (DT) technology. The improved computational power and iterative validation of these intelligent tools have enhanced medical education, in silico research, and clinical decision support in critical care settings. Integrating DTs into critical care opens vast opportunities, but simultaneously poses complex challenges, from data safety and privacy concerns to potentially increasing healthcare disparities. In medicine, DTs can significantly improve the efficiency of critical care systems. Stakeholder investment is essential for successful implementation and integration of these technologies.","url":"https://pubmed.ncbi.nlm.nih.gov/39587767/","authors":["Halpern GA","Nemet M","Gowda DM","Kilickaya O","Lal A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.12701/jyms.2024.01053","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39583940","name":"Cultural big data: nineteenth to twenty-first century panoramic visualization.","source":"pubmed","abstract":"From the nineteenth-century panorama to the emergence of the digital panoramic format in the 1990's, the visualization of large images frequently relies on panoramic viewing strategies. Originally rendered in the form of epic painted canvases, these strategies are now amplified through gigapixel imaging, computer vision and machine learning. Whether for scientific analysis, dissemination, or to visualize cultural big data, panoramic strategies pivot on the illusion of immersion. The latter is achieved through human-centered design situated within a large-scale environment combined with a multi-sensory experience spanning sight, sound, touch, and smell. In this article, we present the original research undertaken to realize a digital twin of the 1894 panorama of the battle of Murten. Following a brief history of the panorama, the methods and technological framework systems developed for Murten panorama's visualization are delineated. Novel visualization methodologies are further discussed, including how to create the illusion of immersion for the world's largest image of a single physical object and its cultural big data. We also present the visualization strategies developed for the augmentation of the layered narratives and histories embedded in the final interactive viewing experience of the Murten panorama. This article offers researchers in heritage big data new schemas for the visualization and augmentation of gigapixel images in digital panoramas.","url":"https://pubmed.ncbi.nlm.nih.gov/39583940/","authors":["Chau TK","Bourke P","Hibberd L","Jaquet D","Kenderdine S"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fdata.2024.1309887","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39583937","name":"Urban Digital Twins and metaverses towards city multiplicities: uniting or dividing urban experiences?","source":"pubmed","abstract":"Urban Digital Twins (UDTs) have become the new buzzword for researchers, planners, policymakers, and industry experts when it comes to designing, planning, and managing sustainable and efficient cities. It encapsulates the last iteration of the technocratic and ultra-efficient, post-modernist vision of smart cities. However, while more applications branded as UDTs appear around the world, its conceptualization remains ambiguous. Beyond being technically prescriptive about what UDTs are, this article focuses on their aspects of interaction and operationalization in connection to people in cities, and how enhanced by metaverse ideas they can deepen societal divides by offering divergent urban experiences based on different stakeholder preferences. Therefore, firstly this article repositions the term UDTs by comparing existing concrete and located applications that have a focus on interaction and participation, including some that may be closer to the concept of UDT than is commonly assumed. Based on the components found separately in the different studied cases, it is possible to hypothesize about possible future, more advanced realizations of UDTs. This enables us to contrast their positive and negative societal impacts. While the development of new immersive interactive digital worlds can improve planning using collective knowledge for more inclusive and diverse cities, they pose significant risks not only the common ones regarding privacy, transparency, or fairness, but also social fragmentation based on urban digital multiplicities. The potential benefits and challenges of integrating this multiplicity of UDTs into participatory urban governance emphasize the need for human-centric approaches to promote socio-technical frameworks able to mitigate risks as social division.","url":"https://pubmed.ncbi.nlm.nih.gov/39583937/","authors":["Argota Sánchez-Vaquerizo J","Javier Argota Sánchez–Vaquerizo"],"tags":["Operationalization","Technocracy","Conceptualization","Transparency (behavior)","Sociology"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024-11-22","doi":"10.1007/s10676-024-09812-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"pmid:39578453","name":"Mechanical shutdown of battery separators: Silicon anode failure.","source":"pubmed","abstract":"The pulverization of silicon (Si) anode materials is recognized as a major cause of their poor cycling performance, yet a mechanistic understanding of this degradation from a full cell perspective remains elusive. Here, we identify an overlooked contributor to Si anode failure: mechanical shutdown of separators. Through mechano-structural characterization of Si full cells, combined with digital-twin simulation, we demonstrate that the volume expansion of Si exerts localized compressive stress on commercial polyethylene separators, leading to pore collapse. This structural disruption impairs ion transport across the separator, exacerbating redox nonuniformity and Si pulverization. Compression simulation reveals that a Young's modulus greater than 1&#x2009;GPa is required for separators to withstand the volume expansion of Si. To fulfill this requirement, we design a high modulus separator, enabling a high-areal-capacity pouch-type Si full cell to retain 88% capacity after 400 cycles at a fast charge rate of 4.5&#x2009;mA&#x2009;cm -2 .","url":"https://pubmed.ncbi.nlm.nih.gov/39578453/","authors":["Seo JY","Kim S","Kim JH","Lee YH","Shin JY","Jeong S","Sung DW","Lee YM","Lee SY"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 22","doi":"10.1038/s41467-024-54313-y","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39575775","name":"Digital Twin Types and Applications in Healthcare.","source":"pubmed","abstract":"Digital Twins, represents an innovative approach consisting of real-time digital replicas of physical entities. This innovative concept has already many applications in Industry, automotive, business environment and is also transforming the healthcare industry. Digital Twins have the potential to provide comprehensive models of individual patients, hospital facilities, and medical processes, integrating data from various sources such as electronic health records, wearable devices, and imaging systems. This paper discusses Digital Twin models and their application in healthcare, focusing on care coordination, treatment planning and hospital management development.","url":"https://pubmed.ncbi.nlm.nih.gov/39575775/","authors":["Pop E","Iliuţă ME","Moisescu MA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 22","doi":"10.3233/SHTI241056","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39575723","name":"Mortality Risk in Patients With Cardiac Complications Following Ischemic Stroke: A Report From the Virtual International Stroke Trials Archive.","source":"pubmed","abstract":"Cardiac complications may occur in patients following ischemic stroke (stroke-heart syndrome [SHS]). We investigated the mortality risk in patients with SHS and across the SHS manifestations.","url":"https://pubmed.ncbi.nlm.nih.gov/39575723/","authors":["Ishiguchi H","Huang B","El-Bouri WK","Dawson J","Lip GYH","Abdul-Rahim AH","VISTA Collaborators †"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 3","doi":"10.1161/JAHA.124.036799","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39575324","name":"A wearable gait lab powered by sensor-driven digital twins for quantitative biomechanical analysis post-stroke.","source":"pubmed","abstract":"Commonly, quantitative gait analysis post-stroke is performed in fully equipped laboratories housing costly technologies for quantitative evaluation of a patient's movement capacity. Combining such technologies with an electromyography (EMG)-driven musculoskeletal model can estimate muscle force properties non-invasively, offering clinicians insights into motor impairment mechanisms. However, lab-constrained areas and time-demanding sensor setup and data processing limit the practicality of these technologies in routine clinical care. We presented wearable technology featuring a multi-channel EMG-sensorized garment and an automated muscle localization technique. This allows unsupervised computation of muscle-specific activations, combined with five inertial measurement units (IMUs) for assessing joint kinematics and kinetics during various walking speeds. Finally, the wearable system was combined with a person-specific EMG-driven musculoskeletal model (referred to as human digital twins), enabling the quantitative assessment of movement capacity at a muscle-tendon level. This human digital twin facilitates the estimation of ankle dorsi-plantar flexion torque resulting from individual muscle-tendon forces. Results demonstrate the wearable technology's capability to extract joint kinematics and kinetics. When combined with EMG signals to drive a musculoskeletal model, it yields reasonable estimates of ankle dorsi-plantar flexion torques ( R 2 &#xa0;=&#xa0;0.65&#xa0;&#xb1;&#xa0;0.21) across different walking speeds for post-stroke individuals. Notably, EMG signals revealing an individual's control strategy compensate for inaccuracies in IMU-derived kinetics and kinematics when input into a musculoskeletal model. Our proposed wearable technology holds promise for estimating muscle kinetics and resulting joint torque in time-limited and space-constrained environments. It represents a crucial step toward translating human movement biomechanics outside of controlled lab environments for effective motor impairment monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/39575324/","authors":["Simonetti D","Hendriks M","Koopman B","Keijsers N","Sartori M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1017/wtc.2024.14","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39571360","name":"Cotransport of fullerene nanoparticles and clay colloids in porous media: The relation between aggregation and transport.","source":"pubmed","abstract":"In the study, cotransport of fullerene nanoparticles (nC 60 ) and mobile clay colloids (illite (ILL), kaolinite (KL), montmorillonite (ML)) in aquifer porous media and its relation to the aggregative interaction between these two types of particles was investigated. Minimal interaction occurred between nC 60 and ILL, resulting in unaffected transport. Strong heteroaggregation between ML and nC 60 resulted in not only significant retention of both particles during their cotransport but also the retention of nC 60 in the media pre-injected with ML. Strong homoaggregation of KL caused strong straining effect and consequently retention of both KL and nC 60 during their cotransport, however, the pre-emplacement of KL did not cause retention of nC 60 during the sequential injection of KL and nC 60 . Such aggregation behaviors were well demonstrated by the adsorption-sedimentation experiment, microscopic observation, the size and zeta-potential test, and model simulation. Based on the surface chemistry analysis, divalent-cation bridging between ML and nC 60 and hydrogen bonding between KL particles were responsible for the heteroaggregation and the homoaggregation, respectively. The study demonstrated the specificity of the aggregation between the mobile clays and nC 60 to the chemistry of the clays and its consequent effect on the cotransport of the particles, which is critical for assessment of the environmental risk of nC 60 .","url":"https://pubmed.ncbi.nlm.nih.gov/39571360/","authors":["Zhan W","Liu G","Hu E","Zhang J","Huo L","Zhong H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 5","doi":"10.1016/j.jhazmat.2024.136535","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39566288","name":"Developing physics-informed neural networks for model predictive control of periodic counter-current chromatography.","source":"pubmed","abstract":"The applications of continuous manufacturing technology in biopharmaceuticals require advanced design, monitoring, and control due to its complexity. Traditional mechanistic models, which rely on numerical solutions, suffer from long computational times, making them unsuitable for the timely demands of continuous processes and digital twin applications in biomanufacturing. This issue significantly limits the capability for real-time optimization and control. To overcome this challenge, this study proposes a Physics-Informed Neural Network (PINN) based General Rate Model (GRM) approach that greatly reduces computation time while maintaining high accuracy and reliability in simulations. The developed PINN is applicable for different parameters across wide ranges and is capable of parameter estimation. It presents excellent performance in both offline simulation of single-column breakthrough curves and online optimization of load conditions for four-column periodic counter-current chromatography (4C-PCC), achieving significant reductions in fitting time from 2608.6 to 110.7 s for offline simulations, and completing online simulations within 12 to 14 s. The results demonstrate the potential of PINN for real-time model predictive control and digital twin applications, offering a promising solution to the limitations of traditional numerical methods.","url":"https://pubmed.ncbi.nlm.nih.gov/39566288/","authors":["Tang SY","Yuan YH","Sun YN","Yao SJ","Wang Y","Lin DQ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan 4","doi":"10.1016/j.chroma.2024.465514","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39563912","name":"Cardiac anatomic digital twins: findings from a single national centre.","source":"pubmed","abstract":"New three-dimensional cardiac visualization technologies are increasingly employed for anatomic digital twins in pre-operative planning. However, the role and influence of extended reality (virtual, augmented, or mixed) within heart team settings remain unclear. We aimed to assess the impact of mixed reality visualization of the intracardiac anatomy on surgical decision-making in patients with complex heart defects.","url":"https://pubmed.ncbi.nlm.nih.gov/39563912/","authors":["Lippert M","Dumont KA","Birkeland S","Nainamalai V","Solvin H","Suther KR","Bendz B","Elle OJ","Brun H"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov","doi":"10.1093/ehjdh/ztae070","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39556384","name":"Dimensional attention-deficit/hyperactivity disorder symptoms and executive functioning in adolescence: A multi-informant, population-based twin study.","source":"pubmed","abstract":"To investigate associations of executive function (EF) performance in adolescence with dimensional symptoms of inattention and hyperactivity-impulsivity assessed by multiple informants as well as ADHD (attention-deficit/hyperactivity disorder) symptoms based on the Diagnostic and Statistical Manual of Mental Disorders criteria, and whether familial factors and co-occurring symptoms of depressive disorder and conduct disorder explain these associations in a population-based sample.","url":"https://pubmed.ncbi.nlm.nih.gov/39556384/","authors":["Ketvel L","Vuoksimaa E","Pulkkinen L","Rose RJ","Vedenkannas U","Rapeli P","Raevuori A","Latvala A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1037/neu0000983","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39552607","name":"Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.","source":"pubmed","abstract":"The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identifying the development of ischaemic stroke in this population.","url":"https://pubmed.ncbi.nlm.nih.gov/39552607/","authors":["Ishiguchi H","Chen Y","Huang B","Gue Y","Correa E","Homma S","Thompson JLP","Qian M","Lip GYH","Abdul-Rahim AH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Mar","doi":"10.1111/eci.14360","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39544359","name":"Digital Twin of the Female Pelvic Floor.","source":"pubmed","abstract":"Digital twin technology, originally developed for intricate physical systems, holds great potential in women's healthcare, particularly in the management of pelvic floor disorders. This paper delves into the development of a digital twin specifically for the female pelvic floor, which can amalgamate various data sources such as imaging, biomechanical assessments, and patient-reported outcomes to offer personalized diagnostic and therapeutic insights. Through the utilization of 3D modeling and machine learning, the digital twin may facilitate precise visualization, prediction, and individualized treatment planning. Nevertheless, it is crucial to address the ethical and practical challenges related to data privacy and ensuring fair access. As this technology progresses, it has the potential to revolutionize gynecological and obstetric care by enhancing diagnostics, customizing treatments, and increasing patient involvement.","url":"https://pubmed.ncbi.nlm.nih.gov/39544359/","authors":["Egorov V"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov","doi":"10.4236/ojog.2024.1411138","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39540593","name":"Digital Doppelgängers and Lifespan Extension: What Matters?","source":"pubmed","abstract":"There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medical technologies to extend biological human lives beyond the current \"natural\" limit of about 120&#x2009;years. At the same time, there is an exploding interest in the use of artificial intelligence (AI) to create \"digital twins\" of persons, for example by fine-tuning large language models on data specific to particular individuals. In this paper, we consider whether digital twins (or digital doppelg&#xe4;ngers, as we refer to them) could be a path toward a kind of life extension-or more precisely, a kind of person extension-that does not rely on biological continuity. We discuss relevant accounts of consciousness and personal identity and argue that digital doppelg&#xe4;ngers may at least help us achieve some of the aims or ostensible goods of person-span extension, even if they may not count as literal extensions of our personhood on dominant philosophical accounts. We also consider relational accounts of personhood and discuss how digital doppelg&#xe4;ngers may be able to extend personhood in a relational sense, or at least secure some of the goods associated with relevant relationships. We conclude by suggesting that a research program to investigate such issues is relevant to ongoing debates about the ethics of extending the human lifespan.","url":"https://pubmed.ncbi.nlm.nih.gov/39540593/","authors":["Iglesias S","Earp BD","Voinea C","Mann SP","Zahiu A","Jecker NS","Savulescu J"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Feb","doi":"10.1080/15265161.2024.2416133","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39540041","name":"A randomized control trial evaluating the advice of a physiological-model/digital twin-based decision support system on mechanical ventilation in patients with acute respiratory distress syndrome.","source":"pubmed","abstract":"Acute respiratory distress syndrome (ARDS) is highly heterogeneous, both in its clinical presentation and in the patient's physiological responses to changes in mechanical ventilator settings, such as PEEP. This study investigates the clinical efficacy of a physiological model-based ventilatory decision support system (DSS) to personalize ventilator therapy in ARDS patients.","url":"https://pubmed.ncbi.nlm.nih.gov/39540041/","authors":["Patel BV","Mumby S","Johnson N","Handslip R","Patel S","Lee T","Andersen MS","Falaschetti E","Adcock IM","McAuley DF","Takata M","Staudinger T","Karbing DS","Jabaudon M","Schellongowski P","Rees SE","DeVENT Study Group"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fmed.2024.1473629","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39539952","name":"Patient-specific prostate tumour growth simulation: a first step towards the digital twin.","source":"pubmed","abstract":"Prostate cancer (PCa) is a major world-wide health concern. Current diagnostic methods involve Prostate-Specific Antigen (PSA) blood tests, biopsies, and Magnetic Resonance Imaging (MRI) to assess cancer aggressiveness and guide treatment decisions. MRI aligns with in silico medicine, as patient-specific image biomarkers can be obtained, contributing towards the development of digital twins for clinical practice. This work presents a novel framework to create a personalized PCa model by integrating clinical MRI data, such as the prostate and tumour geometry, the initial distribution of cells and the vasculature, so a full representation of the whole prostate is obtained. On top of the personalized model construction, our approach simulates and predicts temporal tumour growth in the prostate through the Finite Element Method, coupling the dynamics of tumour growth and the transport of oxygen, and incorporating cellular processes such as proliferation, differentiation, and apoptosis. In addition, our approach includes the simulation of the PSA dynamics, which allows to evaluate tumour growth through the PSA patient's levels. To obtain the model parameters, a multi-objective optimization process is performed to adjust the best parameters for two patients simultaneously. This framework is validated by means of data from four patients with several MRI follow-ups. The diagnosis MRI allows the model creation and initialization, while subsequent MRI-based data provide additional information to validate computational predictions. The model predicts prostate and tumour volumes growth, along with serum PSA levels. This work represents a preliminary step towards the creation of digital twins for PCa patients, providing personalized insights into tumour growth.","url":"https://pubmed.ncbi.nlm.nih.gov/39539952/","authors":["Pérez-Benito Á","García-Aznar JM","Gómez-Benito MJ","Pérez MÁ"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fphys.2024.1421591","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39536311","name":"Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review.","source":"pubmed","abstract":"The concept of digital twins, widely adopted in industry, is entering health care. However, there is a lack of consensus on what constitutes the digital twin of a patient.","url":"https://pubmed.ncbi.nlm.nih.gov/39536311/","authors":["Drummond D","Gonsard A"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.2196/58504","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39534652","name":"Complexity data science: A spin-off from digital twins.","source":"pubmed","abstract":"Digital twins offer a new and exciting framework that has recently attracted significant interest in fields such as oncology, immunology, and cardiology. The basic idea of a digital twin is to combine simulation and learning to create a virtual model of a physical object. In this paper, we explore how the concept of digital twins can be generalized into a broader, overarching field. From a theoretical standpoint, this generalization is achieved by recognizing that the duality of a digital twin fundamentally connects complexity science with data science, leading to the emergence of complexity data science as a synthesis of the two. We examine the broader implications of this field, including its historical roots, challenges, and opportunities.","url":"https://pubmed.ncbi.nlm.nih.gov/39534652/","authors":["Emmert-Streib F","Cherifi H","Kaski K","Kauffman S","Yli-Harja O"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1093/pnasnexus/pgae456","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"pmid:39530111","name":"Leveraging digital twins for improved orthopaedic evaluation and treatment.","source":"pubmed","abstract":"The purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. This review addresses key applications of digital twins, including surgical planning, patient-specific outcome prediction, augmented reality-assisted surgery and simulation-based surgical training.","url":"https://pubmed.ncbi.nlm.nih.gov/39530111/","authors":["Dean MC","Oeding JF","Diniz P","Seil R","Samuelsson K","ESSKA Artificial Intelligence Working Group"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct","doi":"10.1002/jeo2.70084","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39524060","name":"Global voices on atrial fibrillation care in China.","source":"pubmed","abstract":"An aging population, coupled with the high prevalence of physical inactivity, obesity, dyslipidemia, hypertension, and diabetes mellitus, has led to a significant increase in the incidence and prevalence of atrial fibrillation (AF) in China. Managing clinical complexity of AF patients poses significant challenges. Current guidelines advocate for holistic or integrated management using the ABC (Atrial fibrillation Better Care) pathway. Compliance with the ABC pathway has demonstrated promising benefit in improving clinical outcomes. The mAFA II trial (the mHealth technology for improved screening, patient involvement, and optimized integrated care in Atrial Fibrillation) explores the potential of a mobile health technology-supported integrated care approach in reducing the risks of rehospitalization and clinical adverse events. However, disparities persist between urban and rural areas, with the likelihood of rural older individuals by themselves using intelligent devices being extremely low. Therefore, the application prospects of the mobile AF application strategy in rural areas are greatly limited. The ongoing MIRACLE-AF trial (A Novel Model of Integrated Care of Older Patients With Atrial Fibrillation in Rural China) aims to address unique healthcare challenges faced by rural older patients with AF through a novel integrated care model, which is led by village doctors and supported by a digital health platform. In conclusion, innovative integrated care approaches using digital technologies offer promising solutions to enhance AF care across diverse settings in China, catering to the needs of both urban and rural populations.","url":"https://pubmed.ncbi.nlm.nih.gov/39524060/","authors":["Li M","Chen M","Guo Y","Lip GYH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct","doi":"10.1016/j.hroo.2024.08.004","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39533908","name":"Large language models (LLMs) as agents for augmented democracy.","source":"pubmed","abstract":"We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens' preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil's 2022 presidential election. We use a train-test cross-validation set-up to estimate the accuracy with which the LLMs predict both: a subject's individual political choices and the aggregate preferences of the full sample of participants. At the individual level, we find that LLMs predict out of sample preferences more accurately than a 'bundle rule', which would assume that citizens always vote for the proposals of the candidate aligned with their self-reported political orientation. At the population level, we show that a probabilistic sample augmented by an LLM provides a more accurate estimate of the aggregate preferences of a population than the non-augmented probabilistic sample alone. Together, these results indicate that policy preference data augmented using LLMs can capture nuances that transcend party lines and represents a promising avenue of research for data augmentation. This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.","url":"https://pubmed.ncbi.nlm.nih.gov/39533908/","authors":["Gudiño JF","Grandi U","Hidalgo C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 16","doi":"10.1098/rsta.2024.0100","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39529821","name":"Distributed intelligence in industrial and automotive cyber-physical systems: a review.","source":"pubmed","abstract":"Cyber-physical systems (CPSs) are evolving from individual systems to collectives of systems that collaborate to achieve highly complex goals, realizing a cyber-physical system of systems (CPSoSs) approach. They are heterogeneous systems comprising various autonomous CPSs, each with unique performance capabilities, priorities, and pursued goals. In practice, there are significant challenges in the applicability and usability of CPSoSs that need to be addressed. The decentralization of CPSoSs assigns tasks to individual CPSs within the system of systems. All CPSs should harmonically pursue system-based achievements and collaborate to make system-of-system-based decisions and implement the CPSoS functionality. The automotive domain is transitioning to the system of systems approach, aiming to provide a series of emergent functionalities like traffic management, collaborative car fleet management, or large-scale automotive adaptation to the physical environment, thus providing significant environmental benefits and achieving significant societal impact. Similarly, large infrastructure domains are evolving into global, highly integrated cyber-physical systems of systems, covering all parts of the value chain. This survey provides a comprehensive review of current best practices in connected cyber-physical systems and investigates a dual-layer architecture entailing perception and behavioral components. The presented perception layer entails object detection, cooperative scene analysis, cooperative localization and path planning, and human-centric perception. The behavioral layer focuses on human-in-the-loop (HITL)-centric decision making and control, where the output of the perception layer assists the human operator in making decisions while monitoring the operator's state. Finally, an extended overview of digital twin (DT) paradigms is provided so as to simulate, realize, and optimize large-scale CPSoS ecosystems.","url":"https://pubmed.ncbi.nlm.nih.gov/39529821/","authors":["Piperigkos N","Gkillas A","Arvanitis G","Nousias S","Lalos A","Fournaris A","Radoglou-Grammatikis P","Sarigiannidis P","Moustakas K"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/frobt.2024.1430740","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39525922","name":"Low-cost urban heat environment sensing device with Android platform for digital twin.","source":"pubmed","abstract":"The proper monitoring of heat and meteorological variables is essential for the well-being of residents of metropolitan areas. It is challenging to configure spatial heat variations in complex urban environments, even though the temporal variation of urban heat flux has been measured at several designated monitoring stations. Neither the budget nor existing techniques for efficient urban heat monitoring are sufficient for a digital twin of the urban heat environment. As a result, we have developed a low-cost monitoring system that can be easily integrated into a portable pedestrian device, kickboard, or electric bike. With this system, citizens can collect information about urban heat, such as air temperature, surface temperature, relative humidity, barometric pressure, light intensity, and micro-geophysical features including topological aspects and mobile information (e.g., three-dimensional accelerations). Citizens can participate in daily scientific activities using these devices, which facilitate data acquisition and information exchange in urban digital twin environments.","url":"https://pubmed.ncbi.nlm.nih.gov/39525922/","authors":["Cho Y","Kim S","Lee J","Ko D","Lee H","Baek Y","Lee M"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec","doi":"10.1016/j.ohx.2024.e00598","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39521935","name":"Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records.","source":"pubmed","abstract":"This study demonstrates that adverse events (AEs) extracted using natural language processing (NLP) from clinical texts reflect the known frequencies of AEs associated with anticancer drugs. Using data from 44,502 cancer patients at a single hospital, we identified cases prescribed anticancer drugs (platinum, PLT; taxane, TAX; pyrimidine, PYA) and compared them to non-treatment (NTx) group using propensity score matching. Over 365 days, AEs (peripheral neuropathy, PN; oral mucositis, OM; taste abnormality, TA; appetite loss, AL) were extracted from clinical text using an NLP tool. The hazard ratios (HRs) for the anticancer drugs were: PN, 1.15-1.95; OM, 3.11-3.85; TA, 3.48-4.71; and AL, 1.98-3.84; the HRs were significantly higher than that of the NTx group. Sensitivity analysis revealed that the HR for TA may have been underestimated; however, the remaining three types of AEs extracted from clinical text by NLP were consistently associated with the three anticancer drugs.","url":"https://pubmed.ncbi.nlm.nih.gov/39521935/","authors":["Kawazoe Y","Shimamoto K","Seki T","Tsuchiya M","Shinohara E","Yada S","Wakamiya S","Imai S","Hori S","Aramaki E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 9","doi":"10.1038/s41746-024-01323-1","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39519142","name":"Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors.","source":"pubmed","abstract":"To date, the public health system has been impacted by the increasing costs of many diagnostic and therapeutic pathways due to limited resources. At the same time, we are constantly seeking to improve these paths through approaches aimed at personalized medicine. To achieve the required levels of diagnostic and therapeutic precision, it is necessary to integrate data from different sources and simulation platforms. Today, artificial intelligence (AI), machine learning (ML), and predictive computer models are more efficient at guiding decisions regarding better therapies and medical procedures. The evolution of these multiparametric and multimodal systems has led to the creation of digital twins (DTs). The goal of our review is to summarize AI applications in discovering new immunotherapies and developing predictive models for more precise immunotherapeutic decision-making. The findings from this literature review highlight that DTs, particularly predictive mathematical models, will be pivotal in advancing healthcare outcomes. Over time, DTs will indeed bring the benefits of diagnostic precision and personalized treatment to a broader spectrum of patients.","url":"https://pubmed.ncbi.nlm.nih.gov/39519142/","authors":["D'Orsi L","Capasso B","Lamacchia G","Pizzichini P","Ferranti S","Liverani A","Fontana C","Panunzi S","De Gaetano A","Lo Presti E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 29","doi":"10.3390/ijms252111588","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39518639","name":"From Data Integration to Precision Medicine: A Value-Based Healthcare Approach for Sarcoma Care.","source":"pubmed","abstract":"The transformation of healthcare from a fee-for-service model to value-based care is particularly crucial in managing complex and rare diseases like sarcoma, where data fragmentation and variability present significant challenges. This manuscript reviews strategies for structured and harmonized data integration-a critical precursor to precision medicine in sarcoma care. We demonstrate how standardizing data formats, ontologies, and coding systems enable seamless integration of clinical, economic, and patient-reported outcomes across institutions, paving the way for comprehensive predictive analytics. By establishing robust value-based healthcare (VBHC) frameworks through digital transformation and predictive models, including digital twins, we create the foundation for personalized sarcoma treatment and real-world-time clinical decision-making. The manuscript also addresses practical challenges, including the need for system standardization, overcoming regulatory and privacy concerns, and managing high costs. We propose actionable strategies to overcome these barriers and discuss the role of advanced analytics and future research directions that further enhance VBHC and precision medicine. This work outlines the necessary steps to build a cohesive, data-driven approach that supports the transition to precision medicine, fundamentally improving outcomes for sarcoma patients.","url":"https://pubmed.ncbi.nlm.nih.gov/39518639/","authors":["Fuchs B","Heesen P","SwissSarcomaNetwork"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 30","doi":"10.3390/jcm13216500","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39517919","name":"Digitizing the Appearance of 3D Printing Materials Using a Spectrophotometer.","source":"pubmed","abstract":"The conventional approach to appearance prediction for 3D printed parts is to print a thin slab of material and measure its reflectance or transmittance with a spectrophotometer. Reflectance works for opaque printing materials. Transmittance works for transparent printing materials. However, the conventional approach does not work convincingly for translucent materials. For these, we need to separate scattering and absorption. We suggest printing a collection of thin slabs of different thicknesses and using these in a spectrophotometer to obtain the scattering and absorption properties of the material. A model is fitted to the measured data in order to estimate the scattering and absorption properties. To this end, we compare the use of Monte Carlo light transport simulation and the use of an analytic model that we developed from the theory of radiative transfer in plane-parallel media. We assess the predictive capabilities of our method through a multispectral photo-render comparison based on the estimated optical properties.","url":"https://pubmed.ncbi.nlm.nih.gov/39517919/","authors":["Pranovich A","Hannemose MR","Jensen JN","Tran DM","Aanæs H","Gooran S","Nyström D","Frisvad JR"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 31","doi":"10.3390/s24217025","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39517801","name":"UAV Geo-Localization Dataset and Method Based on Cross-View Matching.","source":"pubmed","abstract":"The stable flight of drones relies on Global Navigation Satellite Systems (GNSS). However, in complex environments, GNSS signals are prone to interference, leading to flight instability. Inspired by cross-view machine learning, this paper introduces the VDUAV dataset and designs the VRLM network architecture, opening new avenues for cross-view geolocation. First, to address the limitations of traditional datasets with limited scenarios, we propose the VDUAV dataset. By leveraging the virtual-real mapping of latitude and longitude coordinates, we establish a digital twin platform that incorporates 3D models of real-world environments. This platform facilitates the creation of the VDUAV dataset for cross-view drone localization, significantly reducing the cost of dataset production. Second, we introduce a new baseline model for cross-view matching, the Virtual Reality Localization Method (VRLM). The model uses FocalNet as its backbone and extracts multi-scale features from both drone and satellite images through two separate branches. These features are then fused using a Similarity Computation and Feature Fusion (SCFF) module. By applying a weighted fusion of multi-scale features, the model preserves critical distinguishing features in the images, leading to substantial improvements in both processing speed and localization accuracy. Experimental results demonstrate that the VRLM model outperforms FPI on the VDUAV dataset, achieving an accuracy increase to 83.35% on the MA@20 metric and a precision of 74.13% on the RDS metric.","url":"https://pubmed.ncbi.nlm.nih.gov/39517801/","authors":["Yao Y","Sun C","Wang T","Yang J","Zheng E"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 28","doi":"10.3390/s24216905","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39517788","name":"Adversarial Examples on XAI-Enabled DT for Smart Healthcare Systems.","source":"pubmed","abstract":"There have recently been rapid developments in smart healthcare systems, such as precision diagnosis, smart diet management, and drug discovery. These systems require the integration of the Internet of Things (IoT) for data acquisition, Digital Twins (DT) for data representation into a digital replica and Artificial Intelligence (AI) for decision-making. DT is a digital copy or replica of physical entities (e.g., patients), one of the emerging technologies that enable the advancement of smart healthcare systems. AI and Machine Learning (ML) offer great benefits to DT-based smart healthcare systems. They also pose certain risks, including security risks, and bring up issues of fairness, trustworthiness, explainability, and interpretability. One of the challenges that still make the full adaptation of AI/ML in healthcare questionable is the explainability of AI (XAI) and interpretability of ML (IML). Although the study of the explainability and interpretability of AI/ML is now a trend, there is a lack of research on the security of XAI-enabled DT for smart healthcare systems. Existing studies limit their focus to either the security of XAI or DT. This paper provides a brief overview of the research on the security of XAI-enabled DT for smart healthcare systems. It also explores potential adversarial attacks against XAI-enabled DT for smart healthcare systems. Additionally, it proposes a framework for designing XAI-enabled DT for smart healthcare systems that are secure and trusted.","url":"https://pubmed.ncbi.nlm.nih.gov/39517788/","authors":["Imam NH"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 27","doi":"10.3390/s24216891","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39517755","name":"Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties.","source":"pubmed","abstract":"We present a data-driven, in situ proximal multi-sensor digital soil mapping approach to develop digital twins for multiple agricultural fields. A novel Digital Soil Core TM (DSC) Probe was engineered that contains seven sensors, each of a distinct modality, including sleeve friction, tip force, dielectric permittivity, electrical resistivity, soil imagery, acoustics, and visible and near-infrared spectroscopy. The DSC System integrates the DSC Probe, DSC software (v2023.10), and deployment equipment components to sense soil characteristics at a high vertical spatial resolution (mm scale) along in situ soil profiles up to a depth of 120 cm in about 60 s. The DSC Probe in situ proximal data are harmonized into a data cube providing vertical high-density knowledge associated with physical-chemical-biological soil conditions. In contrast, conventional ex situ soil samples derived from soil cores, soil pits, or surface samples analyzed using laboratory and other methods are bound by a substantially coarser spatial resolution and multiple compounding errors. Our objective was to investigate the effects of the mismatched scale between high-resolution in situ proximal sensor data and coarser-resolution ex situ soil laboratory measurements to develop soil prediction models. Our study was conducted in central California soil in almond orchards. We collected DSC sensor data and spatially co-located soil cores that were sliced into narrow layers for laboratory-based soil measurements. Partial Least Squares Regression (PLSR) cross-validation was used to compare the results of testing four data integration methods. Method A reduced the high-resolution sensor data to discrete values paired with layer-based soil laboratory measurements. Method B used stochastic distributions of sensor data paired with layer-based soil laboratory measurements. Method C allocated the same soil analytical data to each one of the high-resolution multi-sensor data within a soil layer. Method D linked the high-density multi-sensor soil data directly to crop responses (crop performance and behavior metrics), bypassing costly laboratory soil analysis. Overall, the soil models derived from Method C outperformed Methods A and B. Soil predictions derived using Method D were the most cost-effective for directly assessing soil-crop relationships, making this method well suited for industrial-scale precision agriculture applications.","url":"https://pubmed.ncbi.nlm.nih.gov/39517755/","authors":["Grunwald S","Murad MOF","Farrington S","Wallace W","Rooney D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 25","doi":"10.3390/s24216855","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39516436","name":"Adopting Non-invasive Approaches into Precision Colorectal Cancer Screening.","source":"pubmed","abstract":"Effective screening is essential to reducing CRC incidence and mortality by detecting the disease at early stages and identifying non-invasive precursors. While colonoscopy remains the most sensitive modality to visualize and remove neoplastic lesions thereby reducing CRC and the related death, its high cost and invasive nature limit its widespread use. The fecal immunochemical test (FIT), which offers a non-invasive alternative with higher public acceptance and comparable cost-effectiveness to colonoscopy, has become the preferred screening method in many regions. Newer non-invasive tests, such as multitarget stool DNA or RNA tests, have shown improved sensitivity for CRC and advanced adenomas, although their high costs and lower specificity present challenges for large-scale implementation. Blood-based circulating cell-free DNA test also offer promise but still require optimization to be cost-effective. The heterogeneity of the screening population further complicates the effectiveness of CRC screening programs. Variations in non-communicable disease risk factors, such as metabolic syndrome, lifestyle habits, and comorbidities, can significantly influence CRC risk and screening outcomes. Moreover, diverse screening behaviors, including inconsistent adherence to recommended screening intervals and the interchangeable use of different screening modalities, add complexity to achieving uniform effectiveness across populations. This variability underscores the need for personalized screening strategies that consider individual risk profiles and screening behaviors, as well as the application of cutting-edge technologies such as big data analytics, artificial intelligence, and digital twin approaches to evaluate its effectiveness. This article reviews the current CRC screening strategies, the advantages of non-invasive methods, and the potential of fecal hemoglobin concentration, to tailor screening intervals and improve risk stratification. It also discusses the emerging role of real-world data and advanced technologies in enhancing CRC screening accuracy and effectiveness, particularly in complex real-world scenarios where traditional methods may fall short. Before novel non-invasive approaches, such as ctDNA tests or polygenic risk scores, are validated and proven cost-effective, exploring the clinical utility of FIT and its quantitative measurement in both screening and surveillance by integrating real-world clinical big data seems a feasible direction for achieving sustained development in population screening.","url":"https://pubmed.ncbi.nlm.nih.gov/39516436/","authors":["Chiu HM","Matsuda T"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 May","doi":"10.1007/s10620-024-08696-z","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39512324","name":"A digital twin approach for stroke risk assessment in Atrial Fibrillation Patients.","source":"pubmed","abstract":"Atrial fibrillation (AF) is associated with a fivefold increased risk of cerebrovascular events, contributing to 15-18&#xa0;% of all strokes. Stroke prevention in clinical practice is typically guided by the CHA 2 DS 2 -VASc score, which depends on general clinical risk factors but falls short in predicting risk at an individual patient level. In this study, we introduce a digital twin model of the left atrium (LA) combined with computational fluid dynamics (CFD) simulations to enhance personalized stroke risk assessment. Simulations were performed on patient-specific dynamic LA models in sinus rhythm (SR) across three patient groups: 10 controls (CTRL), 10 with paroxysmal AF (PAR-AF), and 10 with persistent AF (PER-AF). Blood flow velocity and areas susceptible to thrombogenesis, based on several factors including endothelial damage, were identified in the left atrial appendage (LAA). In general, control subjects exhibited higher average blood velocity in both the LAA and its ostium (0.11&#xa0;&#xb1;&#xa0;0.03&#xa0;m/s and 0.28&#xa0;&#xb1;&#xa0;0.05&#xa0;m/s, respectively) compared to those with AF. In the AF groups, the velocities were lower (LAA: PAR-AF 0.05&#xa0;&#xb1;&#xa0;0.02&#xa0;m/s, PER-AF 0.04&#xa0;&#xb1;&#xa0;0.02&#xa0;m/s; LAA ostium: PAR-AF 0.14&#xa0;&#xb1;&#xa0;0.03&#xa0;m/s, PER-AF 0.11&#xa0;&#xb1;&#xa0;0.04&#xa0;m/s). CFD analysis revealed that endothelial cell activation potential (ECAP) was significantly higher in AF patients (PAR-AF: 3.96&#xa0;&#xb1;&#xa0;3.28&#xa0;Pa&#x207b; 1 , PER-AF: 4.77&#xa0;&#xb1;&#xa0;2.08&#xa0;Pa&#x207b; 1 ) compared to controls (0.93&#xa0;&#xb1;&#xa0;0.63&#xa0;Pa&#x207b; 1 ). These findings suggest that AF patients experience slower and more oscillatory blood flow in the LAA, increasing their risk of thrombosis. Additionally, blood tends to stagnate within the LAA, further raising the likelihood of clot formation. This proposed method could be used to enhance stroke risk stratification in AF patients by incorporating an index that integrates blood velocity-derived parameters.","url":"https://pubmed.ncbi.nlm.nih.gov/39512324/","authors":["Falanga M","Cortesi C","Chiaravalloti A","Monte AD","Tomasi C","Corsi C"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 30","doi":"10.1016/j.heliyon.2024.e39527","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39511189","name":"A Large-Scale Geographically Explicit Synthetic Population with Social Networks for the United States.","source":"pubmed","abstract":"Within the geo-simulation research domain, micro-simulation and agent-based modeling often require the creation of synthetic populations. Creating such data is a time-consuming task and often lacks social networks, which are crucial for studying human interactions (e.g., disease spread, disaster response) while at the same time impacting decision-making. We address these challenges by introducing a Python based method that uses the open data including that from 2020 U.S. Census data to generate a large-scale realistic geographically explicit synthetic population for America's 50 states and Washington D.C. along with the stylized social networks (e.g., home, work and schools). The resulting synthetic population can be utilized within various geo-simulation approaches (e.g., agent-based modeling), exploring the emergence of complex phenomena through human interactions and further fostering the study of urban digital twins.","url":"https://pubmed.ncbi.nlm.nih.gov/39511189/","authors":["Jiang N","Yin F","Wang B","Crooks AT"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 7","doi":"10.1038/s41597-024-03970-1","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39507514","name":"Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.","source":"pubmed","abstract":"Cancer exhibits substantial heterogeneity, manifesting as distinct morphological and molecular variations across tumors, which frequently undermines the efficacy of conventional oncological treatments. Developments in multiomics and sequencing technologies have paved the way for unraveling this heterogeneity. Nevertheless, the complexity of the data gathered from these methods cannot be fully interpreted through multimodal data analysis alone. Mathematical modeling plays a crucial role in delineating the underlying mechanisms to explain sources of heterogeneity using patient-specific data. Intra-tumoral diversity necessitates the development of precision oncology therapies utilizing multiphysics, multiscale mathematical models for cancer. This review discusses recent advancements in computational methodologies for precision oncology, highlighting the potential of cancer digital twins to enhance patient-specific decision-making in clinical settings. We review computational efforts in building patient-informed cellular and tissue-level models for cancer and propose a computational framework that utilizes agent-based modeling as an effective conduit to integrate cancer systems models that encode signaling at the cellular scale with digital twin models that predict tissue-level response in a tumor microenvironment customized to patient information. Furthermore, we discuss machine learning approaches to building surrogates for these complex mathematical models. These surrogates can potentially be used to conduct sensitivity analysis, verification, validation, and uncertainty quantification, which is especially important for tumor studies due to their dynamic nature.","url":"https://pubmed.ncbi.nlm.nih.gov/39507514/","authors":["Kemkar S","Tao M","Ghosh A","Stamatakos G","Graf N","Poorey K","Balakrishnan U","Trask N","Radhakrishnan R"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3389/fphys.2024.1473125","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39504298","name":"The Physiome Project and Digital Twins.","source":"pubmed","abstract":"Interest in the concept of a virtual human model that can encompass human physiology and anatomy on a biophysical (mechanistic) basis, and can assist with the clinical diagnosis and treatment of disease, appears to be growing rapidly around the globe. When such models are personalised and coupled with continual diagnostic measurements, they are called 'digital twins'. We argue here that the most useful form of virtual human model will be one that is constrained by the laws of physics, contains a comprehensive knowledge graph of all human physiology and anatomy, is multiscale in the sense of linking systems physiology down to protein function, and can to some extent be personalized and linked directly with clinical records. We discuss current progress from the IUPS Physiome Project and the requirements for a framework to achieve such a model.","url":"https://pubmed.ncbi.nlm.nih.gov/39504298/","authors":["Hunter P","de Bono B","Brooks D","Christie R","Hussan J","Lin M","Nickerson D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1109/RBME.2024.3490455","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39504133","name":"Multi-level digital-twin models of pulmonary mechanics: correlation analysis of 3D CT lung volume and 2D Chest motion.","source":"pubmed","abstract":"Creating multi-level digital-twin models for mechanical ventilation requires a detailed estimation of regional lung volume. An accurate generic map between 2D chest surface motion and 3D regional lung volume could provide improved regionalisation and clinically acceptable estimates localising lung damage. This work investigates the relationship between CT lung volumes and the forced vital capacity (FVC) a surrogate of tidal volume proven linked to 2D chest motion. In particular, a convolutional neural network (CNN) with U-Net architecture is employed to build a lung segmentation model using a benchmark CT scan dataset. An automated thresholding method is proposed for image morphology analysis to improve model performance. Finally, the trained model is applied to an independent CT dataset with FVC measurements for correlation analysis of CT lung volume projection to lung recruitment capacity. Model training results show a clear improvement of lung segmentation performance with the proposed automated thresholding method compared to a typically suggested fixed value selection, achieving accuracy greater than 95% for both training and independent validation sets. The correlation analysis for 160 patients shows a good correlation of R squared value of 0.73 between the proposed 2D volume projection and the FVC value, which indicates a larger and denser projection of lung volume relative to a greater FVC value and lung recruitable capacity. The overall results thus validate the potential of using non-contact, non-invasive 2D measures to enable regionalising lung mechanics models to equivalent 3D models with a generic map based on the good correlation. The clinical impact of improved lung mechanics digital twins due to regionalising the lung mechanics and volume to specific lung regions could be very high in managing mechanical ventilation and diagnosing or locating lung injury or dysfunction based on regular monitoring instead of intermittent and invasive lung imaging modalities.","url":"https://pubmed.ncbi.nlm.nih.gov/39504133/","authors":["Zhou C","Chase JG","Chen Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 6","doi":"10.1088/2057-1976/ad8c47","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39503605","name":"Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer.","source":"pubmed","abstract":"Purpose To combine deep learning and biology-based modeling to predict the response of locally advanced, triple-negative breast cancer before initiating neoadjuvant chemotherapy (NAC). Materials and Methods In this retrospective study, a biology-based mathematical model of tumor response to NAC was constructed and calibrated on a patient-specific basis using imaging data from patients enrolled in the MD Anderson A Robust TNBC Evaluation FraMework to Improve Survival trial (ARTEMIS; ClinicalTrials.gov registration no. NCT02276443) between April 2018 and May 2021. To relate the calibrated parameters in the biology-based model and pretreatment MRI data, a convolutional neural network (CNN) was employed. The CNN predictions of the calibrated model parameters were used to estimate tumor response at the end of NAC. CNN performance in the estimations of total tumor volume (TTV), total tumor cellularity (TTC), and tumor status was evaluated. Model-predicted TTC and TTV measurements were compared with MRI-based measurements using the concordance correlation coefficient and area under the receiver operating characteristic curve (for predicting pathologic complete response at the end of NAC). Results The study included 118 female patients (median age, 51 years [range, 29-78 years]). For comparison of CNN predicted to measured change in TTC and TTV over the course of NAC, the concordance correlation coefficient values were 0.95 (95% CI: 0.90, 0.98) and 0.94 (95% CI: 0.87, 0.97), respectively. CNN-predicted TTC and TTV had an area under the receiver operating characteristic curve of 0.72 (95% CI: 0.34, 0.94) and 0.72 (95% CI: 0.40, 0.95) for predicting tumor status at the time of surgery, respectively. Conclusion Deep learning integrated with a biology-based mathematical model showed good performance in predicting the spatial and temporal evolution of a patient's tumor during NAC using only pre-NAC MRI data. Keywords: Triple-Negative Breast Cancer, Neoadjuvant Chemotherapy, Convolutional Neural Network, Biology-based Mathematical Model Supplemental material is available for this article. Clinical trial registration no. NCT02276443 &#xa9;RSNA, 2024 See also commentary by Mei and Huang in this issue.","url":"https://pubmed.ncbi.nlm.nih.gov/39503605/","authors":["Stowers CE","Wu C","Xu Z","Kumar S","Yam C","Son JB","Ma J","Tamir JI","Rauch GM","Yankeelov TE"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2025 Jan","doi":"10.1148/ryai.240124","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39501092","name":"Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach.","source":"pubmed","abstract":"Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox, an innovative AI model using a generative adversarial network (GAN) method to facilitate the bidirectional translation of transcriptomic profiles between the liver and kidney under drug treatment. TransTox demonstrates robust performance, validated across independent datasets and laboratories. First, the concordance between real experimental data and synthetic data generated by TransTox was demonstrated in characterizing toxicity mechanisms compared to real experimental settings. Second, TransTox proved valuable in gene expression predictive models, where synthetic data could be used to develop gene expression predictive models or serve as \"digital twins\" for diagnostic applications. The TransTox approach holds the potential for multi-organ toxicity assessment with AI and advancing the field of precision toxicology.","url":"https://pubmed.ncbi.nlm.nih.gov/39501092/","authors":["Li T","Chen X","Tong W"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 5","doi":"10.1038/s41746-024-01317-z","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39500963","name":"Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery.","source":"pubmed","abstract":"Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The current risk score systems for preoperative evaluation may not adequately represent a small subset of high-risk populations. Accordingly, this study aimed at applying iterative random forest to analyze combinations of factors that could potentially be clinically valuable in identifying these high-risk populations. To this end, we used the Japan Medical Data Center database, which includes claims data from Japan between January 2005 and April 2021, and employed iterative random forests to extract factor combinations that influence outcomes. The analysis demonstrated that a combination of a prior history of stroke and extremely low LDL-C levels was associated with a high non-cardiac postoperative risk. The incidence of major adverse cardiovascular events in the population characterized by the incidence of previous stroke and extremely low LDL-C levels was 15.43 events per 100 person-30 days [95% confidence interval, 6.66-30.41] in the test data. At this stage, the results only show correlation rather than causation; however, these findings may offer valuable insights for preoperative risk assessment in non-cardiac surgery.","url":"https://pubmed.ncbi.nlm.nih.gov/39500963/","authors":["Seki T","Takiguchi T","Akagi Y","Ito H","Kubota K","Miyake K","Okada M","Kawazoe Y"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 5","doi":"10.1038/s41598-024-78482-4","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39496479","name":"Infographic. Multiligament knee injury (MLKI): an expert consensus statement on nomenclature, diagnosis, treatment and rehabilitation.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39496479/","authors":["Murray IR","Makaram NS","Neo C","Geeslin AG","Chahla J","Moatshe G","Crossley K","Kew ME","Davis A","Tuca M","Potter H","Janse van Rensburg DC","Emery CA","Eun S","Grindem H","Noyes FR","Marx RG","Harner C","Levy BA","King E","Cook JL","Whelan DB","Hatch GF 3rd","Wahl CJ","Thorborg K","Irrgang JJ","Pujol N","Medvecky MJ","Stuart MJ","Krych AJ","Engebretsen L","Stannard JP","MacDonald P","Seil R","Fanelli GC","Maak TG","Shelbourne KD","Verhagen E","Musahl V","Hirschmann MT","Miller MD","Schenck RC","LaPrade RF","MLKI International Expert Working Group"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Dec 2","doi":"10.1136/bjsports-2024-109051","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39489805","name":"Uncertainty analysis of digital twin model of mine ventilation system.","source":"pubmed","abstract":"The digital twin model of mine ventilation system (DTMVS) plays an important role in intelligent safety management. However, the uncertainty of the ventilation resistance coefficient, which is the core parameter of the model, makes it challenging to accurately construct a DTMVS. In this study, Latin Hypercube Sampling (LHS) and ventilation resistance coefficient estimation models (VRCEMs) are used to analyze the uncertainty. First, the LHS method was used to explore the effect of uncertainty in the simulated airflow by continuously increasing the level of uncertainty in the ventilation resistance coefficients. Subsequently, the ventilation resistance coefficients were estimated using the VRCEMs, and the uncertainty of the ventilation resistance coefficient and the simulated airflow was analyzed. The results showed that the ventilation resistance coefficients with a 5% coefficient of variation can cause the DTMVS to lose 34% of the real airflow data points. The degree of uncertainty in the ventilation resistance coefficients estimated by the VRCEM-GA (VRCEM using genetic algorithm) and VRCEM-DE (VRCEM using differential evolution algorithm) methods was enhanced by 27.4% and 4.4%, respectively, compared with VRCEM-ES (VRCEM using evolutionary strategy algorithm). The VRCEM-ES model had the least influence on the uncertainty of the simulated airflow of DTMVS. The simulated airflow of the DTMVS constructed based on VRCEMs fluctuated normally within the confidence interval. VRCEMs had a higher sensitivity to the ventilation resistance coefficients of branches with low coefficients of variation.","url":"https://pubmed.ncbi.nlm.nih.gov/39489805/","authors":["Cao P","Liu J","Wang H","Wang Y","Liu X","Wang D"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 4","doi":"10.1038/s41598-024-77978-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"pmid:39487342","name":"Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics.","source":"pubmed","abstract":"Physics-informed neural network has emerged as a promising approach for solving partial differential equations. However, it is still a challenge for the computation of structural mechanics problems since it involves solving higher-order partial differential equations as the governing equations are fourth-order nonlinear equations. Here we develop a multi-level physics-informed neural network framework where an aggregation model is developed by combining multiple neural networks, with each one involving only first-order or second-order partial differential equations representing different physics information such as geometrical, constitutive, and equilibrium relations of the structure. The proposed framework demonstrates a remarkable advancement over the classical neural networks in terms of the accuracy and computation time. The proposed method holds the potential to become a promising paradigm for structural mechanics computation and facilitate the intelligent computation of digital twin systems. Weiwei He and colleagues implement a multi-level physicsinformed neural network to solve partial differential equations, a key problem for efficient structure analysis. Their results improve the accuracy and computation time for solving these problems.","url":"https://pubmed.ncbi.nlm.nih.gov/39487342/","authors":["He W","Li J","Kong X","Deng L","Weiwei He","Jinzhao Li","Xuan Kong","Lu Deng"],"tags":["Partial differential equation","Computational mechanics","Applied mathematics","Computer science","Physics"],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Nov 1","doi":"10.1038/s44172-024-00303-3","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"pmid:39483346","name":"Defining myocardial fiber bundle architecture in atrial digital twins.","source":"pubmed","abstract":"A key component in developing atrial digital twins (ADT) - virtual representations of patients' atria - is the accurate prescription of myocardial fibers which are essential for the tissue characterization. Due to the difficulty of reconstructing atrial fibers from medical imaging, a widely used strategy for fiber generation in ADT relies on mathematical models. Existing methodologies utilze semi-automatic approaches, are tailored to specific morphologies, and lack rigorous validation against imaging fiber data. In this study, we introduce a novel atrial Laplace-Dirichlet-Rule-Based Method (LDRBM) for prescribing highly detailed myofiber orientations and providing robust regional annotation in bi-atrial morphologies of any complexity. The robustness of our approach is verified in eight extremely detailed bi-atrial geometries, derived from a sub-millimiter Diffusion-Tensor-Magnetic-Resonance Imaging (DTMRI) human atrial fiber dataset. We validate the LDRBM by quantitatively recreating each of the DTMRI fiber architectures: a comprehensive comparison with DTMRI ground truth data is conducted, investigating differences between electrophysiology (EP) simulations provided by either LDRBM and DTMRI fibers. Finally, we demonstrate that the novel LDRBM outperforms current state-of-the-art fiber models, confirming the exceptional accuracy of our methodology and the critical importance of incorporating detailed fiber orientations in EP simulations. Ultimately, this work represents a fundamental step toward the development of physics-based digital twins of the human atria, establishing a new standard for prescribing fibers in ADT.","url":"https://pubmed.ncbi.nlm.nih.gov/39483346/","authors":["Piersanti R","Bradley R","Ali SY","Quarteroni A","Dede' L","Trayanova NA"],"tags":[],"confidence":0.82,"sites":["digital-twin"],"publishedDate":"2024 Oct 15","doi":"","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20556470","name":"Valuation of digital twins in wind energy through a common classification system","source":"datacite","abstract":"Digital twins are being increasingly used in wind energy for a wide number of applications including simulating wind patterns and energy yield to identify optimal locations, creating digital replicas of turbines for anomaly detection and diagnostics, testing new blade shapes in a digital wind tunnel, and simulating financial performance under multiple environmental, regulatory, and operational scenarios to assess investment risk and optimise portfolio decisions [1]. However, digital twins are still at the early adoption stage in the wind energy sector. Adoption is uneven across markets, and value quantification is still challenging. This is due to the complex, long-term benefits, the lack of standardised metrics, the dynamic technology landscape, and the difficulty of separating the impact of the digital twin from other concurrent improvements [2]. The first step towards value quantification, and increased adoption, is to agree upon a method of digital twin classification. This would provide clarity and consistency in a field where terms such as “digital model,” “digital shadow,” and “digital twin” are often used ambiguously. By positioning digital twins along dimensions such as automation, fidelity, lifecycle stage, and functionality, their maturity can be benchmarked. This supports clearer valuation and return-on-investment assessments and guides development roadmaps by showing how digital twins can evolve from prototypes to high-value operational tools. Standardised categories improve interoperability across assets and enable concise communication of scope and capabilities, facilitating decision-making and accelerating adoption. In this work, we introduce the Digital Twins Taxonomy (DITTA), a lightweight, SKOS-based ontology that describes digital twin types. We then make a suggestion for high-potential digital twin use cases, and suggest the dimensions of the digital twin type from the DITTA for each use case. This forms the basis for a new Recommended Practice on the Classification and Valuation of Digital Twins in Wind Energy.","url":"https://doi.org/10.5281/zenodo.20556470","authors":["Marykovskiy, Yuriy","Jain, Avni","Barber, Sarah"],"tags":["Wind power","Wind power"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20556470","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22095056","name":"D7.2 Infrastructure Implementation v.1 - Extended Executive Summary - Appendix 3: Classes and Properties of the ARTEMIS Ontology","source":"datacite","abstract":"This document describes in plain language how data are organized by ARTEMIS and related to each other to build the project Knowledge Base, i.e. the organized complex of the information about cultural heritage. Different concepts are grouped by similarity or intended use. As is well known, the term ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one domain of discourse. In other terms, an ontology includes abstract entities – named classes – which characterize a domain and the relationships – named properties – among them. Ontologies are of fundamental importance to describe and organize data and to enable powerful search engines. Using the same or compatible ontologies is the foundation for data interoperability. In the domain of cultural heritage, the standard is represented by CIDOC CRM, which is an ISO standard named ISO 21127:2023. Being an abstract concept, a class has no predetermined value: an actual value (called instance) belongs to a class, which is however independent from any specific content. Appendix 3 of the ARTEMIS D7.2 document presents a fundamental part of the project ontology: the set of classes and properties that make it possible to describe, in a structured and interoperable way, the concept of a Reactive Heritage Digital Twin, that is, a reactive digital twin applied to cultural heritage. In this section, the concepts identified with the acronym HC followed by a number and a name represent the classes, namely the entities that can exist within the model. The concepts identified with the acronym HP followed by a number and a verbal expression represent the properties, namely the relationships that connect these entities to one another. Classes and properties borrowed by the main system – CIDOC CRM – or another CRM-compatible model are named in a similar way, with a different acronym that identifies the model to which they belong. The underlying idea is that a cultural heritage asset should not be described merely as an isolated object, but as the centre of a complex information system. Around the asset, the system can gather historical descriptions, documents, images, 3D models, scientific data, sensors, signals, digital services, artificial intelligence components, computational operations and monitoring processes. The ontology therefore serves to organise this set of elements, making it possible to build a coherent, updated representation connected to the real-world assets: the Knowledge Base.","url":"https://doi.org/10.5281/zenodo.22095056","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Cloud Computing","Ontology","Semantics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095056","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22095055","name":"D7.2 Infrastructure Implementation v.1 - Extended Executive Summary - Appendix 3: Classes and Properties of the ARTEMIS Ontology","source":"datacite","abstract":"This document describes in plain language how data are organized by ARTEMIS and related to each other to build the project Knowledge Base, i.e. the organized complex of the information about cultural heritage. Different concepts are grouped by similarity or intended use. As is well known, the term ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one domain of discourse. In other terms, an ontology includes abstract entities – named classes – which characterize a domain and the relationships – named properties – among them. Ontologies are of fundamental importance to describe and organize data and to enable powerful search engines. Using the same or compatible ontologies is the foundation for data interoperability. In the domain of cultural heritage, the standard is represented by CIDOC CRM, which is an ISO standard named ISO 21127:2023. Being an abstract concept, a class has no predetermined value: an actual value (called instance) belongs to a class, which is however independent from any specific content. Appendix 3 of the ARTEMIS D7.2 document presents a fundamental part of the project ontology: the set of classes and properties that make it possible to describe, in a structured and interoperable way, the concept of a Reactive Heritage Digital Twin, that is, a reactive digital twin applied to cultural heritage. In this section, the concepts identified with the acronym HC followed by a number and a name represent the classes, namely the entities that can exist within the model. The concepts identified with the acronym HP followed by a number and a verbal expression represent the properties, namely the relationships that connect these entities to one another. Classes and properties borrowed by the main system – CIDOC CRM – or another CRM-compatible model are named in a similar way, with a different acronym that identifies the model to which they belong. The underlying idea is that a cultural heritage asset should not be described merely as an isolated object, but as the centre of a complex information system. Around the asset, the system can gather historical descriptions, documents, images, 3D models, scientific data, sensors, signals, digital services, artificial intelligence components, computational operations and monitoring processes. The ontology therefore serves to organise this set of elements, making it possible to build a coherent, updated representation connected to the real-world assets: the Knowledge Base.","url":"https://doi.org/10.5281/zenodo.22095055","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Cloud Computing","Ontology","Semantics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22095055","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094554","name":"D7.2 Infrastructure Implementation v.1 - Extended Executive Summary","source":"datacite","abstract":"D7.2 documents the implementation of the ARTEMIS infrastructure up to the launch phase foreseen in June 2026. It is part of Work Package 7, Infrastructure Setup, and prepares the continuation of infrastructure activities in WP8. The deliverable shows how the project has moved from the design described in D7.1 to a functioning infrastructure capable of supporting the services developed in WP9 and the pilots defined in WP11. The purpose of the infrastructure is to provide both a technological and a semantic foundation. The technological foundation allows ARTEMIS partners to develop, test and deploy services in a controlled cloud environment. The semantic foundation allows cultural heritage information to be organised through shared concepts and relationships, so that different data sources can be connected and interpreted together. This dual nature is important. ARTEMIS is not only building software services, nor only building data models. The project requires an ecosystem in which services, data, users and pilots can communicate. D7.2 describes how this ecosystem is taking shape: through cloud platforms, secure access mechanisms, shared resource management, an ontology-based Knowledge Base and interfaces for human and machine access. The document also clarifies the roles of the main infrastructure tasks. The cloud infrastructure is led by INFN and provides the hosting and operational environment. The data infrastructure is led by ARIADNE and provides the semantic framework and Knowledge Base. The services infrastructure is closely linked to the cloud infrastructure because the services must run within the platform and interact with the data layer. This Extended Executive Summary provides a concise overview of the ARTEMIS infrastructure components.","url":"https://doi.org/10.5281/zenodo.22094554","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Cloud Computing","Ontology","Semantics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094554","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094555","name":"D7.2 Infrastructure Implementation v.1 - Extended Executive Summary","source":"datacite","abstract":"D7.2 documents the implementation of the ARTEMIS infrastructure up to the launch phase foreseen in June 2026. It is part of Work Package 7, Infrastructure Setup, and prepares the continuation of infrastructure activities in WP8. The deliverable shows how the project has moved from the design described in D7.1 to a functioning infrastructure capable of supporting the services developed in WP9 and the pilots defined in WP11. The purpose of the infrastructure is to provide both a technological and a semantic foundation. The technological foundation allows ARTEMIS partners to develop, test and deploy services in a controlled cloud environment. The semantic foundation allows cultural heritage information to be organised through shared concepts and relationships, so that different data sources can be connected and interpreted together. This dual nature is important. ARTEMIS is not only building software services, nor only building data models. The project requires an ecosystem in which services, data, users and pilots can communicate. D7.2 describes how this ecosystem is taking shape: through cloud platforms, secure access mechanisms, shared resource management, an ontology-based Knowledge Base and interfaces for human and machine access. The document also clarifies the roles of the main infrastructure tasks. The cloud infrastructure is led by INFN and provides the hosting and operational environment. The data infrastructure is led by ARIADNE and provides the semantic framework and Knowledge Base. The services infrastructure is closely linked to the cloud infrastructure because the services must run within the platform and interact with the data layer. This Extended Executive Summary provides a concise overview of the ARTEMIS infrastructure components.","url":"https://doi.org/10.5281/zenodo.22094555","authors":["Niccolucci, Franco"],"tags":["Digital Twin","RHDT","Cloud Computing","Ontology","Semantics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094555","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19555401","name":"Recent Trends in Multidisciplinary Research 2025","source":"datacite","abstract":"Multidisciplinary research is transitioning from domain-specific collaboration to deeply integrated inquiry. This narrative review, based on literature spanning 2020–2025, identifies ten key trends reshaping research: AI-driven discovery, interoperable data infrastructures, digital twins, nexus problem framing, bio-digital convergence, emerging computing paradigms, open/reproducible science, human-centered design, mission-oriented team science, and accelerated translation. Evidence is drawn from recent reviews, market analyses, and case studies. Quantitative data show rapid growth in digital twin applications, AI-driven publications, and bio-digital investment. Implications for funding, training, and institutional models are discussed to facilitate future impactful, inclusive, and collaborative research.","url":"https://doi.org/10.5281/zenodo.19555401","authors":["Eudoxia"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.19555401","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19555402","name":"Recent Trends in Multidisciplinary Research 2025","source":"datacite","abstract":"Multidisciplinary research is transitioning from domain-specific collaboration to deeply integrated inquiry. This narrative review, based on literature spanning 2020–2025, identifies ten key trends reshaping research: AI-driven discovery, interoperable data infrastructures, digital twins, nexus problem framing, bio-digital convergence, emerging computing paradigms, open/reproducible science, human-centered design, mission-oriented team science, and accelerated translation. Evidence is drawn from recent reviews, market analyses, and case studies. Quantitative data show rapid growth in digital twin applications, AI-driven publications, and bio-digital investment. Implications for funding, training, and institutional models are discussed to facilitate future impactful, inclusive, and collaborative research.","url":"https://doi.org/10.5281/zenodo.19555402","authors":["Eudoxia"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.19555402","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20719225","name":"D11.1 Pilots definition","source":"datacite","abstract":"Deliverable D11.1 presents the pilot definition and design work carried out in Work Package 11 of the ARTEMIS project. Its purpose is to document the pilot portfolio that will be used to demonstrate, validate and test the ARTEMIS approach to Reactive Heritage Digital Twins (RHDT) in realistic cultural heritage (CH) contexts. In ARTEMIS, pilots are not treated as isolated demonstrations but as a mechanism for specifying practical use cases, required data, services, workflows and validation needs. The deliverable establishes the common methodological framework used to move from initial pilot ideas to structured pilot definitions that are based on a common documentation structure focused on each case study, their objectives, technologies and tools, data resources, integration requirements and evaluation metrics. D11.1 presents a portfolio of sixteen pilots organised into small-, medium- and large-scale categories, following the ARTEMIS Description of Action document. As a whole these pilots cover a broad range of CH assets, stakeholders and operational needs, from movable artefact-level documentation and monitoring to building-scale analysis, urban simulation and large-scale risk assessment. The sixteen pilots described in this deliverable also clarify the relationship between the ARTEMIS’ pilot-number commitment and the RHDT demonstrator KPI. The DoA describes at least fifteen pilots addressing different CH-related case studies, while the KPI table refers to twenty pilot demonstrators of RHDT implementations. This is addressed through the CH asset-based structure of the portfolio. In fact, several of the pilots include more than one CH asset. Consequently, the sixteen defined pilots provide a broader set of CH assets and context instances from which the twenty RHDT demonstrators can be implemented and validated in the second half of the project.","url":"https://doi.org/10.5281/zenodo.20719225","authors":["Koutsoudis, Anestis"],"tags":["Digital Twin","RHDT","Pilot Projects"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20719225","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20719226","name":"D11.1 Pilots definition","source":"datacite","abstract":"Deliverable D11.1 presents the pilot definition and design work carried out in Work Package 11 of the ARTEMIS project. Its purpose is to document the pilot portfolio that will be used to demonstrate, validate and test the ARTEMIS approach to Reactive Heritage Digital Twins (RHDT) in realistic cultural heritage (CH) contexts. In ARTEMIS, pilots are not treated as isolated demonstrations but as a mechanism for specifying practical use cases, required data, services, workflows and validation needs. The deliverable establishes the common methodological framework used to move from initial pilot ideas to structured pilot definitions that are based on a common documentation structure focused on each case study, their objectives, technologies and tools, data resources, integration requirements and evaluation metrics. D11.1 presents a portfolio of sixteen pilots organised into small-, medium- and large-scale categories, following the ARTEMIS Description of Action document. As a whole these pilots cover a broad range of CH assets, stakeholders and operational needs, from movable artefact-level documentation and monitoring to building-scale analysis, urban simulation and large-scale risk assessment. The sixteen pilots described in this deliverable also clarify the relationship between the ARTEMIS’ pilot-number commitment and the RHDT demonstrator KPI. The DoA describes at least fifteen pilots addressing different CH-related case studies, while the KPI table refers to twenty pilot demonstrators of RHDT implementations. This is addressed through the CH asset-based structure of the portfolio. In fact, several of the pilots include more than one CH asset. Consequently, the sixteen defined pilots provide a broader set of CH assets and context instances from which the twenty RHDT demonstrators can be implemented and validated in the second half of the project.","url":"https://doi.org/10.5281/zenodo.20719226","authors":["Koutsoudis, Anestis"],"tags":["Digital Twin","RHDT","Pilot Projects"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20719226","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20815828","name":"D3.2  Annex 1 User Needs Survey report","source":"datacite","abstract":"The ARTEMIS User Needs Survey was developed within Task 3.4 to better understand how cultural heritage professionals use digital technologies, what challenges they face, and what needs should guide the development of future services. The survey targeted a wide range of roles, from conservators and scientists to managers, educators, and digital specialists. It was open from the 4th May to 31st July 2025 and collected 343 responses from cultural heritage professionals across Europe.","url":"https://doi.org/10.5281/zenodo.20815828","authors":["Prandoni, Sebastiano"],"tags":["Survey","User needs","RHDT","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20815828","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20815829","name":"D3.2  Annex 1 User Needs Survey report","source":"datacite","abstract":"The ARTEMIS User Needs Survey was developed within Task 3.4 to better understand how cultural heritage professionals use digital technologies, what challenges they face, and what needs should guide the development of future services. The survey targeted a wide range of roles, from conservators and scientists to managers, educators, and digital specialists. It was open from the 4th May to 31st July 2025 and collected 343 responses from cultural heritage professionals across Europe.","url":"https://doi.org/10.5281/zenodo.20815829","authors":["Prandoni, Sebastiano"],"tags":["Survey","User needs","RHDT","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20815829","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19382918","name":"Domain-Expert AI Collaboration: Crossing the Paradigm Boundary from Industrial Control to Application Software","source":"datacite","abstract":"This preprint presents the first documented case of an industrial control programmer crossing the paradigm boundary to application software through structured AI collaboration, building a production real-time control system. The author — a process control specialist with 28 years of experience in IEC 61131-3 languages (LAD, FBD, STL, CFC, SFC, SCL), C, and VBScript — used AI agents (Anthropic Claude) to build Quantum Swarm Heating (QSH), a real-time energy transfer control system comprising 22 deterministic controllers, a digital twin, a system identification module, a React/TypeScript web interface, and an InfluxDB historian, currently deployed across three live UK residential heat pump installations with 200,000+ control cycles. The central thesis is one of convergence. Three elements, each individually precedented, converge for the first time in documented literature: (1) the crossing of an industrial-to-application paradigm boundary, (2) production deployment on physical hardware governing real energy transfer processes, and (3) the transfer of GAMP 5 validation principles, FMEA methodology, and ISA-standard process discipline to govern the AI collaboration. No published case as of April 2026 reports this convergence. Third preprint in a series: the production deployment (doi:10.5281/zenodo.18903154), the governance framework (doi:10.5281/zenodo.19323404), and this paper documenting the paradigm crossing and collaboration model.","url":"https://doi.org/10.5281/zenodo.19382918","authors":["Hunt, Stuart J."],"tags":["Quantum Swarm Heating","QSH","human-AI collaboration","domain expertise","industrial control","AI-assisted engineering","process control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19382918","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19382919","name":"Domain-Expert AI Collaboration: Crossing the Paradigm Boundary from Industrial Control to Application Software","source":"datacite","abstract":"This preprint presents the first documented case of an industrial control programmer crossing the paradigm boundary to application software through structured AI collaboration, building a production real-time control system. The author — a process control specialist with 28 years of experience in IEC 61131-3 languages (LAD, FBD, STL, CFC, SFC, SCL), C, and VBScript — used AI agents (Anthropic Claude) to build Quantum Swarm Heating (QSH), a real-time energy transfer control system comprising 22 deterministic controllers, a digital twin, a system identification module, a React/TypeScript web interface, and an InfluxDB historian, currently deployed across three live UK residential heat pump installations with 200,000+ control cycles. The central thesis is one of convergence. Three elements, each individually precedented, converge for the first time in documented literature: (1) the crossing of an industrial-to-application paradigm boundary, (2) production deployment on physical hardware governing real energy transfer processes, and (3) the transfer of GAMP 5 validation principles, FMEA methodology, and ISA-standard process discipline to govern the AI collaboration. No published case as of April 2026 reports this convergence. Third preprint in a series: the production deployment (doi:10.5281/zenodo.18903154), the governance framework (doi:10.5281/zenodo.19323404), and this paper documenting the paradigm crossing and collaboration model.","url":"https://doi.org/10.5281/zenodo.19382919","authors":["Hunt, Stuart J."],"tags":["Quantum Swarm Heating","QSH","human-AI collaboration","domain expertise","industrial control","AI-assisted engineering","process control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19382919","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.17969278","name":"THE EMERGENCE OF π/9 AS A UNIVERSAL HARMONIC CONSTANT","source":"datacite","abstract":"THE EMERGENCE OF π/9 AS A UNIVERSAL HARMONIC CONSTANT Mathematical Foundations and Computational Validation of Recursive Collapse Dynamics in Adaptive Systems Driven by Dean A. Kulik December 2025 Abstract This thesis establishes the mathematical foundations for the emergence of π/9 ≈ 0.34906585 as a universal harmonic constant governing the equilibrium states of recursive feedback systems. Through rigorous derivation from first principles of control theory, information geometry, and dynamical systems analysis, we demonstrate that any system employing proportional-integral-derivative feedback toward a cyclic attractor will converge to states where the ratio of active regulation to total system activity approaches π/9. This result is not an empirical observation fitted post-hoc to data, but a mathematical consequence of the phase relationships inherent in oscillatory feedback control. The thesis proceeds in four major sections. First, we derive the harmonic constant from the mathematics of phase-locked loops and demonstrate its connection to the geometry of the unit circle. Second, we formalize the Adaptive Harmonic Rasterization Collapse protocol, showing how recursive subdivision of state space preserves information through dimensional collapse while maintaining the π/9 equilibrium ratio. Third, we establish the Median-as-Z Law, proving that when geometric configurations degenerate, their essential structural relationships persist as residues measurable relative to the harmonic constant. Fourth, we present computational validation across three independent domains: prime number distribution in the residue classes modulo 9, the digit structure of π itself as computed via the Bailey-Borwein-Plouffe formula, and the statistical properties of SHA-256 cryptographic hash outputs when analyzed as harmonic fields. Our results demonstrate predictive power rather than pattern matching. The framework specifies quantitative acceptance criteria before measurement, and the empirical data satisfy these criteria with statistical significance. The twin prime distribution shows chi-square alignment with p ≈ 1.0, the π digit analysis reveals non-random structure in the mod-9 residue stream consistent with the predicted phase relationships, and SHA-256 nibble sequences exhibit the circular statistics predicted by treating hash outputs as harmonic collapse residues. These three domains share no obvious connection except through the mathematical structure of recursive feedback, yet all three independently converge to relationships governed by π/9. The implications extend beyond pure mathematics. If recursive feedback systems across computational, physical, and abstract domains genuinely share this common equilibrium constant, it suggests a deep structural unity underlying apparently disparate phenomena. The thesis concludes by situating these findings within the broader Nexus Recursive Harmonic Architecture and identifying pathways for further validation by domain specialists in number theory, cryptography, and dynamical systems. Chapter 1: Introduction 1.1 The Problem of Universal Constants Mathematical physics has long recognized that certain constants appear across seemingly unrelated domains. The fine structure constant α ≈ 1/137 governs electromagnetic interactions but emerges in contexts from quantum electrodynamics to solid-state physics. Euler's number e appears in compound interest, population dynamics, and quantum mechanics. The golden ratio φ manifests in phyllotaxis, quasicrystals, and recursive sequences. These observations raise a fundamental question: do such constants represent deep structural features of mathematics itself, or are they coincidental appearances of the same numerical value in unrelated contexts? This thesis argues that π/9 ≈ 0.34906585 represents another such constant, but with a specific and derivable origin. Unlike empirically observed constants whose theoretical basis remains unclear, π/9 emerges from the mathemat","url":"https://doi.org/10.5281/zenodo.17969278","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.17969278","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.17969279","name":"THE EMERGENCE OF π/9 AS A UNIVERSAL HARMONIC CONSTANT","source":"datacite","abstract":"THE EMERGENCE OF π/9 AS A UNIVERSAL HARMONIC CONSTANT Mathematical Foundations and Computational Validation of Recursive Collapse Dynamics in Adaptive Systems Driven by Dean A. Kulik December 2025 Abstract This thesis establishes the mathematical foundations for the emergence of π/9 ≈ 0.34906585 as a universal harmonic constant governing the equilibrium states of recursive feedback systems. Through rigorous derivation from first principles of control theory, information geometry, and dynamical systems analysis, we demonstrate that any system employing proportional-integral-derivative feedback toward a cyclic attractor will converge to states where the ratio of active regulation to total system activity approaches π/9. This result is not an empirical observation fitted post-hoc to data, but a mathematical consequence of the phase relationships inherent in oscillatory feedback control. The thesis proceeds in four major sections. First, we derive the harmonic constant from the mathematics of phase-locked loops and demonstrate its connection to the geometry of the unit circle. Second, we formalize the Adaptive Harmonic Rasterization Collapse protocol, showing how recursive subdivision of state space preserves information through dimensional collapse while maintaining the π/9 equilibrium ratio. Third, we establish the Median-as-Z Law, proving that when geometric configurations degenerate, their essential structural relationships persist as residues measurable relative to the harmonic constant. Fourth, we present computational validation across three independent domains: prime number distribution in the residue classes modulo 9, the digit structure of π itself as computed via the Bailey-Borwein-Plouffe formula, and the statistical properties of SHA-256 cryptographic hash outputs when analyzed as harmonic fields. Our results demonstrate predictive power rather than pattern matching. The framework specifies quantitative acceptance criteria before measurement, and the empirical data satisfy these criteria with statistical significance. The twin prime distribution shows chi-square alignment with p ≈ 1.0, the π digit analysis reveals non-random structure in the mod-9 residue stream consistent with the predicted phase relationships, and SHA-256 nibble sequences exhibit the circular statistics predicted by treating hash outputs as harmonic collapse residues. These three domains share no obvious connection except through the mathematical structure of recursive feedback, yet all three independently converge to relationships governed by π/9. The implications extend beyond pure mathematics. If recursive feedback systems across computational, physical, and abstract domains genuinely share this common equilibrium constant, it suggests a deep structural unity underlying apparently disparate phenomena. The thesis concludes by situating these findings within the broader Nexus Recursive Harmonic Architecture and identifying pathways for further validation by domain specialists in number theory, cryptography, and dynamical systems. Chapter 1: Introduction 1.1 The Problem of Universal Constants Mathematical physics has long recognized that certain constants appear across seemingly unrelated domains. The fine structure constant α ≈ 1/137 governs electromagnetic interactions but emerges in contexts from quantum electrodynamics to solid-state physics. Euler's number e appears in compound interest, population dynamics, and quantum mechanics. The golden ratio φ manifests in phyllotaxis, quasicrystals, and recursive sequences. These observations raise a fundamental question: do such constants represent deep structural features of mathematics itself, or are they coincidental appearances of the same numerical value in unrelated contexts? This thesis argues that π/9 ≈ 0.34906585 represents another such constant, but with a specific and derivable origin. Unlike empirically observed constants whose theoretical basis remains unclear, π/9 emerges from the mathemat","url":"https://doi.org/10.5281/zenodo.17969279","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.17969279","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.18665413","name":"Coheron:  a 4096 bit Word  that packs LF12 custom floats, to perform Wave operations , here is the what it can do","source":"datacite","abstract":"📘 COHERON WORD, LF12 SPEC, COHERON ENGINE FOREWORD (for the combined LF12 Specification, Coheron Word Definition, and Coheron Engine volumes) Humanity has always sought frameworks capable of unifying the chaotic diversity of the world into coherent, intelligible structure. From the earliest symbolic systems to the most advanced computational architectures, each generation has attempted to build a language that does not merely describe reality, but reveals it. The LF12 Specification, the Coheron Word Definition, and the Coheron Engine together represent such an attempt — a synthesis of linguistic structure, cognitive architecture, and dynamical systems theory into a single conceptual organism. What began as a specification evolved into a lexicon, and what began as a lexicon evolved into a computational engine capable of perceiving, contextualizing, simulating, and interpreting the behavior of systems across mathematics, physics, computation, and cognition. This project does not propose a single model or algorithm. Instead, it proposes a unified way of thinking — a method for embedding any evolving system into a shared interpretive space. Whether the system is numerical, quantum, spatial, biological, linguistic, or cognitive, the Coheron framework offers a common set of metrics, modes, phases, attractors, and geometric structures that reveal the deep similarities underlying their surface differences. The result is a new kind of atlas:a map of how systems behave, how they transition, how they stabilize, how they collapse, and how they generate complexity. This work is not merely technical. It is philosophical. It is architectural. It is a blueprint for a new class of engines — engines that do not compute answers, but compute understanding. The pages that follow represent the first complete articulation of this vision. They are the foundation upon which future volumes will build: advanced architectures, cognitive dynamics, semantic manifolds, and the full integration of Coheron into LF12 as a universal descriptive language. This is the beginning of a long journey — one that unifies structure, meaning, and dynamics into a single coherent whole. 📘 ABSTRACT (for the combined project) This project presents a unified theoretical and computational framework composed of three major components: LF12 Specification — a formal linguistic and structural system defining the primitives, operators, and compositional rules for representing meaning, structure, and transformation. Coheron Word Definition — a semantic architecture that extends LF12 into a cognitive lexicon, enabling words, concepts, and structures to be embedded into a high‑dimensional contextual space. Coheron Engine — a dynamical analysis engine that interprets evolving systems through universal metrics (coherence, entropy, drift, structure size), universal modes and phases, universal attractor theory, and universal geometric embeddings. Together, these components form a general-purpose framework for analyzing, simulating, and understanding dynamical systems across domains. The Engine is demonstrated on multiple system classes — Collatz dynamics, quantum walks, cellular automata, logistic maps — and extended into a universal dynamical atlas that unifies discrete, continuous, quantum, and spatial systems under a single interpretive language. The result is a cross-disciplinary architecture capable of mapping any evolving system into a shared geometric and semantic space, enabling deep structural comparison, attractor identification, regime classification, and predictive modeling. This work establishes the foundation for future volumes on advanced architectures, cognitive dynamics, and semantic computation. 📘 PROJECT DESCRIPTION (for the entire LF12 + Coheron corpus) The LF12–Coheron project is a multi-volume research initiative aimed at constructing a unified language for structure, meaning, and dynamics. It consists of three foundational components: 1. LF12 Specification LF12 de","url":"https://doi.org/10.5281/zenodo.18665413","authors":["Vening, Edwin Jean-Paul"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.18665413","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21297880","name":"Coheron:  a 4096 bit Word  that packs LF12 custom floats, to perform Wave operations , here is the what it can do","source":"datacite","abstract":"📘 COHERON WORD, LF12 SPEC, COHERON ENGINE FOREWORD (for the combined LF12 Specification, Coheron Word Definition, and Coheron Engine volumes) Humanity has always sought frameworks capable of unifying the chaotic diversity of the world into coherent, intelligible structure. From the earliest symbolic systems to the most advanced computational architectures, each generation has attempted to build a language that does not merely describe reality, but reveals it. The LF12 Specification, the Coheron Word Definition, and the Coheron Engine together represent such an attempt — a synthesis of linguistic structure, cognitive architecture, and dynamical systems theory into a single conceptual organism. What began as a specification evolved into a lexicon, and what began as a lexicon evolved into a computational engine capable of perceiving, contextualizing, simulating, and interpreting the behavior of systems across mathematics, physics, computation, and cognition. This project does not propose a single model or algorithm. Instead, it proposes a unified way of thinking — a method for embedding any evolving system into a shared interpretive space. Whether the system is numerical, quantum, spatial, biological, linguistic, or cognitive, the Coheron framework offers a common set of metrics, modes, phases, attractors, and geometric structures that reveal the deep similarities underlying their surface differences. The result is a new kind of atlas:a map of how systems behave, how they transition, how they stabilize, how they collapse, and how they generate complexity. This work is not merely technical. It is philosophical. It is architectural. It is a blueprint for a new class of engines — engines that do not compute answers, but compute understanding. The pages that follow represent the first complete articulation of this vision. They are the foundation upon which future volumes will build: advanced architectures, cognitive dynamics, semantic manifolds, and the full integration of Coheron into LF12 as a universal descriptive language. This is the beginning of a long journey — one that unifies structure, meaning, and dynamics into a single coherent whole. 📘 ABSTRACT (for the combined project) This project presents a unified theoretical and computational framework composed of three major components: LF12 Specification — a formal linguistic and structural system defining the primitives, operators, and compositional rules for representing meaning, structure, and transformation. Coheron Word Definition — a semantic architecture that extends LF12 into a cognitive lexicon, enabling words, concepts, and structures to be embedded into a high‑dimensional contextual space. Coheron Engine — a dynamical analysis engine that interprets evolving systems through universal metrics (coherence, entropy, drift, structure size), universal modes and phases, universal attractor theory, and universal geometric embeddings. Together, these components form a general-purpose framework for analyzing, simulating, and understanding dynamical systems across domains. The Engine is demonstrated on multiple system classes — Collatz dynamics, quantum walks, cellular automata, logistic maps — and extended into a universal dynamical atlas that unifies discrete, continuous, quantum, and spatial systems under a single interpretive language. The result is a cross-disciplinary architecture capable of mapping any evolving system into a shared geometric and semantic space, enabling deep structural comparison, attractor identification, regime classification, and predictive modeling. This work establishes the foundation for future volumes on advanced architectures, cognitive dynamics, and semantic computation. 📘 PROJECT DESCRIPTION (for the entire LF12 + Coheron corpus) The LF12–Coheron project is a multi-volume research initiative aimed at constructing a unified language for structure, meaning, and dynamics. It consists of three foundational components: 1. LF12 Specification LF12 de","url":"https://doi.org/10.5281/zenodo.21297880","authors":["Vening, Edwin Jean-Paul"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21297880","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20640343","name":"Application of Augmented Reality in Construction","source":"datacite","abstract":"The construction industry is undergoing rapid digital transformation through the adoption of advanced technologies aimed at improving project visualization, productivity, safety, communication, and decision-making. Among these emerging technologies, Augmented Reality (AR) has gained significant attention due to its ability to integrate virtual digital information with the real-world construction environment in real time. Augmented Reality enhances physical surroundings by overlaying digital models, graphics, instructions, and data onto actual construction sites using devices such as smartphones, tablets, smart glasses, and head-mounted displays. This article presents a comprehensive review of the application of Augmented Reality in construction, including project visualization, Building Information Modeling integration, construction planning, safety management, quality control, equipment maintenance, worker training, and facility management. The study examines the advantages, technological frameworks, implementation challenges, and future developments associated with AR adoption in construction projects. The findings indicate that Augmented Reality significantly improves project coordination, reduces errors, enhances safety performance, improves communication, and supports intelligent construction management. The article also discusses integration of AR with emerging technologies such as Artificial Intelligence, Internet of Things, robotics, and digital twin systems for future smart construction environments.","url":"https://doi.org/10.5281/zenodo.20640343","authors":["P Abhilash"],"tags":["augmented reality, construction technology, Building Information Modeling, smart construction, digital visualization, construction management, virtual engineering, intelligent infrastructure"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20640343","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20640344","name":"Application of Augmented Reality in Construction","source":"datacite","abstract":"The construction industry is undergoing rapid digital transformation through the adoption of advanced technologies aimed at improving project visualization, productivity, safety, communication, and decision-making. Among these emerging technologies, Augmented Reality (AR) has gained significant attention due to its ability to integrate virtual digital information with the real-world construction environment in real time. Augmented Reality enhances physical surroundings by overlaying digital models, graphics, instructions, and data onto actual construction sites using devices such as smartphones, tablets, smart glasses, and head-mounted displays. This article presents a comprehensive review of the application of Augmented Reality in construction, including project visualization, Building Information Modeling integration, construction planning, safety management, quality control, equipment maintenance, worker training, and facility management. The study examines the advantages, technological frameworks, implementation challenges, and future developments associated with AR adoption in construction projects. The findings indicate that Augmented Reality significantly improves project coordination, reduces errors, enhances safety performance, improves communication, and supports intelligent construction management. The article also discusses integration of AR with emerging technologies such as Artificial Intelligence, Internet of Things, robotics, and digital twin systems for future smart construction environments.","url":"https://doi.org/10.5281/zenodo.20640344","authors":["P Abhilash"],"tags":["augmented reality, construction technology, Building Information Modeling, smart construction, digital visualization, construction management, virtual engineering, intelligent infrastructure"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20640344","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21848397","name":"Digital Twin Synchronization Mechanisms","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21848397","authors":["Safa Mohamed , Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21848397","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21848398","name":"Digital Twin Synchronization Mechanisms","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21848398","authors":["Safa Mohamed , Safa Kamal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21848398","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19543865","name":"Unified Internal State Dynamics: The Manassero Law as a Deterministic Framework for Degradation, Energy Coupling, and Multiphysics Systems","source":"datacite","abstract":"This work introduces a unified deterministic framework based on the Manassero Law of Internal Conjugate States, describing the evolution of physical systems through internal activation (C) and cumulative degradation (D). The framework integrates the Manassero Internal Degradation Framework (MIDF) and the Manassero Creation Framework (MCF) into a single mathematical structure capable of modeling fatigue, aging, and multiphysics interactions. Classical engineering laws, including Miner’s rule, Basquin relations, Paris law, and Weibull distributions, are shown to emerge as secondary representations of the same internal-state dynamics. The formulation further incorporates external energy fluxes, such as aerodynamic heating (Φ ~ ρ·v³), enabling direct modeling of thermal degradation and high-speed systems. This work provides a deterministic baseline suitable for predictive maintenance, digital twins, and cross-domain engineering applications. The system dynamics are governed by a deterministic internal-state equation linking activation (C), degradation (D), and external energy input. Autor: Manassero Sebastián Héctor CC BY-NC-ND 4.0","url":"https://doi.org/10.5281/zenodo.19543865","authors":["Manassero, Sebastián Héctor"],"tags":["Manassero Law MIDF MCF Deterministic Degradation Internal State Dynamics Aerodynamic Heating Fatigue Modeling Digital Twin Reliability Engineering Multiphysics Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19543865","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19543866","name":"Unified Internal State Dynamics: The Manassero Law as a Deterministic Framework for Degradation, Energy Coupling, and Multiphysics Systems","source":"datacite","abstract":"This work introduces a unified deterministic framework based on the Manassero Law of Internal Conjugate States, describing the evolution of physical systems through internal activation (C) and cumulative degradation (D). The framework integrates the Manassero Internal Degradation Framework (MIDF) and the Manassero Creation Framework (MCF) into a single mathematical structure capable of modeling fatigue, aging, and multiphysics interactions. Classical engineering laws, including Miner’s rule, Basquin relations, Paris law, and Weibull distributions, are shown to emerge as secondary representations of the same internal-state dynamics. The formulation further incorporates external energy fluxes, such as aerodynamic heating (Φ ~ ρ·v³), enabling direct modeling of thermal degradation and high-speed systems. This work provides a deterministic baseline suitable for predictive maintenance, digital twins, and cross-domain engineering applications. The system dynamics are governed by a deterministic internal-state equation linking activation (C), degradation (D), and external energy input. Autor: Manassero Sebastián Héctor CC BY-NC-ND 4.0","url":"https://doi.org/10.5281/zenodo.19543866","authors":["Manassero, Sebastián Héctor"],"tags":["Manassero Law MIDF MCF Deterministic Degradation Internal State Dynamics Aerodynamic Heating Fatigue Modeling Digital Twin Reliability Engineering Multiphysics Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19543866","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094206","name":"Intelligent Academic Libraries: An AI–Digital Twin Approach","source":"datacite","abstract":"This paper proposes a novel AI–Digital Twin framework for smart academic library management by integrating Artificial Intelligence (AI), Digital Twin technology, the Internet of Things (IoT), cloud computing, and RFID systems into a unified intelligent ecosystem. The proposed framework enables real-time monitoring, predictive analytics, resource optimization, personalized user services and evidence-based decision-making while improving collection management, space utilization, security and operational efficiency. It also addresses key implementation challenges, including data privacy, cybersecurity, interoperability, infrastructure and workforce readiness. By presenting a scalable and sustainable model, the study contributes to the advancement of Library and Information Science and provides a strategic roadmap for developing intelligent, user-centric and future-ready academic libraries in the era of digital transformation","url":"https://doi.org/10.5281/zenodo.22094206","authors":["Patil, Sachin Dattatraya"],"tags":["Artificial Intelligence; Digital Twin; Smart Academic Library; Internet of Things; Library Automation; Intelligent Library Management; Predictive Analytics; Smart Campus; Sustainable Libraries; Digital Transformation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094206","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094205","name":"Intelligent Academic Libraries: An AI–Digital Twin Approach","source":"datacite","abstract":"This paper proposes a novel AI–Digital Twin framework for smart academic library management by integrating Artificial Intelligence (AI), Digital Twin technology, the Internet of Things (IoT), cloud computing, and RFID systems into a unified intelligent ecosystem. The proposed framework enables real-time monitoring, predictive analytics, resource optimization, personalized user services and evidence-based decision-making while improving collection management, space utilization, security and operational efficiency. It also addresses key implementation challenges, including data privacy, cybersecurity, interoperability, infrastructure and workforce readiness. By presenting a scalable and sustainable model, the study contributes to the advancement of Library and Information Science and provides a strategic roadmap for developing intelligent, user-centric and future-ready academic libraries in the era of digital transformation","url":"https://doi.org/10.5281/zenodo.22094205","authors":["Patil, Sachin Dattatraya"],"tags":["Artificial Intelligence; Digital Twin; Smart Academic Library; Internet of Things; Library Automation; Intelligent Library Management; Predictive Analytics; Smart Campus; Sustainable Libraries; Digital Transformation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094205","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20806282","name":"Advanced Information Systems and Digital Twins in SCM Education: Bridging Theory and Real-World Logistics Execution. Case Study: Student Engagement at the Logistics and SCM Academic Program in Duy Tan University","source":"datacite","abstract":"ABSTRACTThis research explores the integration of advanced information systems and digital twin technologies into Supply Chain Management (SCM) education as a mechanism to bridge the gap between theoretical knowledge and real-world logistics execution. Focusing on a case study of student engagement within the Logistics and SCM academic program at Duy Tan University in Da Nang, Vietnam, the study evaluates how emerging digital tools can enhance experiential learning, improve skill development, and better prepare students for the complexities of modern supply chain environments. The rapid digital transformation of global supply chains has created a growing demand for professionals with competencies in data analytics, automation, real-time decision-making, and intelligent logistics systems. Traditional educational models, which often emphasize theoretical instruction, are increasingly insufficient in preparing students for industry requirements. The research addresses this challenge by proposing a framework that integrates digital twin platforms and advanced information systems into the learning process, enabling students to interact with realistic, data-driven models of supply chain operations. At the core of the proposed framework is the use of digital twin technology to replicate real-world logistics systems in a virtual environment. These digital twins simulate supply chain networks, including warehousing operations, transportation systems, inventory management processes, and distribution flows. By interacting with these simulations, students gain hands-on experience in analyzing system performance, identifying inefficiencies, and making data-informed decisions. This approach allows learners to develop a deeper understanding of supply chain dynamics while building practical problem-solving skills. Advanced information systems play a critical role in supporting this educational model. The framework incorporates enterprise resource planning (ERP) systems, logistics management platforms, and data analytics tools to provide a comprehensive digital ecosystem for learning. Students are exposed to real-time data streams, performance dashboards, and predictive analytics, enabling them to evaluate key performance indicators such as lead time, inventory turnover, and service levels. This integration enhances their ability to translate theoretical concepts into actionable strategies within a simulated yet realistic operational context. The study employs a mixed-methods approach, combining quantitative assessments of student performance with qualitative analysis of engagement levels, learning outcomes, and industry readiness. Data is collected from student interactions with digital twin systems, course evaluations, and stakeholder feedback from faculty and industry partners. The results indicate that the integration of digital twins and advanced information systems significantly improves student engagement, retention of knowledge, and the ability to apply theoretical concepts in practical scenarios. Students demonstrate enhanced analytical skills, better understanding of logistics processes, and increased confidence in decision-making. A key finding of the research is the importance of experiential learning in developing managerial competencies in SCM. The use of digital twin environments provides a safe and controlled space for experimentation, allowing students to test different strategies and observe outcomes without real-world risks. This approach fosters critical thinking, adaptability, and innovation—skills that are essential for managing complex supply chains in dynamic environments. The study also highlights the role of faculty training, institutional support, and industry collaboration in successfully implementing such advanced educational frameworks. From a strategic perspective, the research underscores the need for academic institutions to align their curricula with digital transformation trends in the logistics and supply ch","url":"https://doi.org/10.5281/zenodo.20806282","authors":["Alfaro, Luis A.","Tran, Thao P.","Quevedo, Luis A.","Rivera, Josue A."],"tags":["Digital Twins, Supply Chain Management Education, Information Systems, Experiential Learning, Logistics Simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.20806282","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20806283","name":"Advanced Information Systems and Digital Twins in SCM Education: Bridging Theory and Real-World Logistics Execution. Case Study: Student Engagement at the Logistics and SCM Academic Program in Duy Tan University","source":"datacite","abstract":"ABSTRACTThis research explores the integration of advanced information systems and digital twin technologies into Supply Chain Management (SCM) education as a mechanism to bridge the gap between theoretical knowledge and real-world logistics execution. Focusing on a case study of student engagement within the Logistics and SCM academic program at Duy Tan University in Da Nang, Vietnam, the study evaluates how emerging digital tools can enhance experiential learning, improve skill development, and better prepare students for the complexities of modern supply chain environments. The rapid digital transformation of global supply chains has created a growing demand for professionals with competencies in data analytics, automation, real-time decision-making, and intelligent logistics systems. Traditional educational models, which often emphasize theoretical instruction, are increasingly insufficient in preparing students for industry requirements. The research addresses this challenge by proposing a framework that integrates digital twin platforms and advanced information systems into the learning process, enabling students to interact with realistic, data-driven models of supply chain operations. At the core of the proposed framework is the use of digital twin technology to replicate real-world logistics systems in a virtual environment. These digital twins simulate supply chain networks, including warehousing operations, transportation systems, inventory management processes, and distribution flows. By interacting with these simulations, students gain hands-on experience in analyzing system performance, identifying inefficiencies, and making data-informed decisions. This approach allows learners to develop a deeper understanding of supply chain dynamics while building practical problem-solving skills. Advanced information systems play a critical role in supporting this educational model. The framework incorporates enterprise resource planning (ERP) systems, logistics management platforms, and data analytics tools to provide a comprehensive digital ecosystem for learning. Students are exposed to real-time data streams, performance dashboards, and predictive analytics, enabling them to evaluate key performance indicators such as lead time, inventory turnover, and service levels. This integration enhances their ability to translate theoretical concepts into actionable strategies within a simulated yet realistic operational context. The study employs a mixed-methods approach, combining quantitative assessments of student performance with qualitative analysis of engagement levels, learning outcomes, and industry readiness. Data is collected from student interactions with digital twin systems, course evaluations, and stakeholder feedback from faculty and industry partners. The results indicate that the integration of digital twins and advanced information systems significantly improves student engagement, retention of knowledge, and the ability to apply theoretical concepts in practical scenarios. Students demonstrate enhanced analytical skills, better understanding of logistics processes, and increased confidence in decision-making. A key finding of the research is the importance of experiential learning in developing managerial competencies in SCM. The use of digital twin environments provides a safe and controlled space for experimentation, allowing students to test different strategies and observe outcomes without real-world risks. This approach fosters critical thinking, adaptability, and innovation—skills that are essential for managing complex supply chains in dynamic environments. The study also highlights the role of faculty training, institutional support, and industry collaboration in successfully implementing such advanced educational frameworks. From a strategic perspective, the research underscores the need for academic institutions to align their curricula with digital transformation trends in the logistics and supply ch","url":"https://doi.org/10.5281/zenodo.20806283","authors":["Alfaro, Luis A.","Tran, Thao P.","Quevedo, Luis A.","Rivera, Josue A."],"tags":["Digital Twins, Supply Chain Management Education, Information Systems, Experiential Learning, Logistics Simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.20806283","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094026","name":"A Digital Twin-Ready AIVR-BEP for Building Energy Performance Simulation: Case of Residential Buildings","source":"datacite","abstract":"this is the data set associated with the paper","url":"https://doi.org/10.5281/zenodo.22094026","authors":["Aljawharah"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094026","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22094025","name":"A Digital Twin-Ready AIVR-BEP for Building Energy Performance Simulation: Case of Residential Buildings","source":"datacite","abstract":"this is the data set associated with the paper","url":"https://doi.org/10.5281/zenodo.22094025","authors":["Aljawharah"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22094025","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22007505","name":"RESIST Terrassa_posters_Normandy_3","source":"datacite","abstract":"This poster describes the methodology and the main results of a R&D study which provided a decision-making tool aiming to identify the potential for unsealing and renaturation in the territory of Barentin (Normandy; France). It explains the contribution from RESIST in the process through the hydraulic modelling of the watershed and the steps to come regarding the visualisation of nature-based solutions effects on run-off and floods issues with a graphical digital twin interface intended for local authorities and citizens.","url":"https://doi.org/10.5281/zenodo.22007505","authors":["Chevaux, François","Wartelle, Léo","Juste, Lisa"],"tags":["Unsealing","Renaturation","Nature-based solutions","Decision-making","Multi-issued sectors targeting","Local authorities","Hydraulic modelling","Graphical digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22007505","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22007506","name":"RESIST Terrassa_posters_Normandy_3","source":"datacite","abstract":"This poster describes the methodology and the main results of a R&D study which provided a decision-making tool aiming to identify the potential for unsealing and renaturation in the territory of Barentin (Normandy; France). It explains the contribution from RESIST in the process through the hydraulic modelling of the watershed and the steps to come regarding the visualisation of nature-based solutions effects on run-off and floods issues with a graphical digital twin interface intended for local authorities and citizens.","url":"https://doi.org/10.5281/zenodo.22007506","authors":["Chevaux, François","Wartelle, Léo","Juste, Lisa"],"tags":["Unsealing","Renaturation","Nature-based solutions","Decision-making","Multi-issued sectors targeting","Local authorities","Hydraulic modelling","Graphical digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22007506","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20092131","name":"GEMEO: A SUS-Grounded Patient Digital Twin for Rare-Disease Trajectory Forecasting, with Temporal-Split Validation on 170,539 DATASUS Events","source":"datacite","abstract":"GEMEO is a patient digital twin — a model that has learned from thousands of similar patients and forecasts what is most likely to happen next. Trained on 170,539 real records from Brazil's public health system (DATASUS) over ten years (2014–2023), GEMEO is, to our knowledge, among the first patient digital twins grounded in a Latin American public-health system, integrating hospital admissions (SIH-RD), high-cost orphan-drug authorisations (APAC-Medicamentos), and mortality records (SIM) into a single learned event corpus. Key empirical results. On a strict temporal split (train 2014–2018, predict 2019–2023, on 661 held-out cohorts), the joint-event Transformer (DT-FM-Joint, 4.95M parameters, 216-token vocabulary) achieves 67.6% next-event top-1 accuracy [CI95: 64.1–71.1] and 87.3% top-5 [84.9–89.7], with test perplexity 1.64. Against a 250k-parameter GRU baseline trained on the same data the gain is +3.5pp top-1 (McNemar p = 0.0021); against a trigram MLE, +46.1pp. Cohort-level death prediction reaches 77.0% accuracy (F1 = 0.785, +15.3pp over the majority-class baseline). Treatment prediction reaches 100% (+22.2pp). An ablation removing APAC events collapses both binary heads to baseline. NeuralSurv reaches validation C-index 0.699. We additionally report calibration (Brier, ECE, MCE), fairness slices across UF / sex / age band, and disclose negative findings (overconfident softmax T*=1.60; per-UF heterogeneity). Why this matters. A patient digital twin is a computational replica of a real person — not their cells or genome, but the trajectory of their disease over time. For rare-disease patients in Brazil, the diagnostic odyssey lasts five to seven years, and even after diagnosis, access to indicated therapies depends on factors that no benchmark accuracy ever captures: whether a clinical protocol exists (PCDT), whether the indicated drug is dispensed in their state (CEAF / SIA-APAC), and whether a specialised reference centre is reachable (CNES). GEMEO is built around that operational reality. Privacy and staged release. This deposit contains the preprint and aggregate results only. Trained model checkpoints and the full CNS-hash longitudinal linkage utility are deferred to a follow-up release pending LGPD privacy review and a memorisation / canary audit, as documented in Section 6.5 of the paper. Reviewer access can be arranged on request via the corresponding authors. The pipeline applies multiple safeguards: no raw CNS hash is released; no individual-patient trajectories are published; small-cell suppression (n < 5) is applied to all released tables; no fine-grained dates or facility identifiers appear in public outputs; and memorisation audits are required before any checkpoint release. Authors: Dimas Timmers (Raras — Rare Disease Research, São Paulo, Brazil); Alexandre Kawassaki, PhD (Raras — Rare Disease Research, São Paulo, Brazil).","url":"https://doi.org/10.5281/zenodo.20092131","authors":["Kawassaki, Alexandre","Timmers, Dimas"],"tags":["digital twin","rare disease","brazilian sus"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20092131","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.17632/jc2rszd2vj.2","name":"Dataset of Full-Scale Structural Strain, Vibration, and Acoustic Measurements from a Passenger Rail Vehicle Operating Under Service Conditions","source":"datacite","abstract":"This repository contains a full-scale experimental dataset of structural strain, vibration, and acoustic responses collected from an executive-class passenger rail vehicle operating on a 1067 mm narrow-gauge railway network in Indonesia. The measurements were acquired under representative operating conditions including maximum speed (100 km/h), acceleration, deceleration, inclined curve, declined curve, and sharp curve manoeuvres. The dataset was obtained using synchronized multi-sensor instrumentation comprising: Ten three-element rosette strain gauges installed on the carbody, coupler assembly, and bogie structure. One triaxial accelerometer and two uniaxial accelerometers mounted at representative vehicle locations. Five Class-1 free-field microphones positioned inside the passenger cabin. The repository includes raw and processed measurement data covering three physical domains: Structural strain measurements recorded from rosette strain gauges. Vibration measurements in longitudinal, lateral, and vertical directions, including frequency-domain representations. Acoustic measurements including sound pressure level (SPL) data and one-third octave band spectra. Supporting materials are also provided, including sensor layouts, instrumentation schematics, metadata files, channel descriptions, acquisition parameters, and illustrative figures describing the experimental configuration. This dataset is intended to support numerical model development, calibration, verification, and validation activities in railway engineering. Potential applications include finite element modelling, structural dynamics, vibration analysis, fatigue assessment, noise and vibration (NVH) studies, vibro-acoustic simulations, digital twin development, machine learning applications, and comparative benchmarking investigations. The dataset provides a synchronized multi-domain experimental reference acquired under real operating conditions and may be reused for research and educational purposes.","url":"https://doi.org/10.17632/jc2rszd2vj.2","authors":["Syaifudin, Achmad","Rusli, Meifal","Huda, Feblil","Kurniawan, Yani","Hendrowati, Wiwiek","Nurhadi, Hendro","Mario Valentino, Jean","Wibawa Purabaya, Raden","Sabrina, Malinda"],"tags":["Acoustics","Structural Engineering","Mechanical Engineering","Transportation Engineering","Vehicle Dynamics","Vibration Analysis","Railroad Transportation Industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.17632/jc2rszd2vj.2","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.17632/jc2rszd2vj","name":"Dataset of Full-Scale Structural Strain, Vibration, and Acoustic Measurements from a Passenger Rail Vehicle Operating Under Service Conditions","source":"datacite","abstract":"This repository contains a full-scale experimental dataset of structural strain, vibration, and acoustic responses collected from an executive-class passenger rail vehicle operating on a 1067 mm narrow-gauge railway network in Indonesia. The measurements were acquired under representative operating conditions including maximum speed (100 km/h), acceleration, deceleration, inclined curve, declined curve, and sharp curve manoeuvres. The dataset was obtained using synchronized multi-sensor instrumentation comprising: Ten three-element rosette strain gauges installed on the carbody, coupler assembly, and bogie structure. One triaxial accelerometer and two uniaxial accelerometers mounted at representative vehicle locations. Five Class-1 free-field microphones positioned inside the passenger cabin. The repository includes raw and processed measurement data covering three physical domains: Structural strain measurements recorded from rosette strain gauges. Vibration measurements in longitudinal, lateral, and vertical directions, including frequency-domain representations. Acoustic measurements including sound pressure level (SPL) data and one-third octave band spectra. Supporting materials are also provided, including sensor layouts, instrumentation schematics, metadata files, channel descriptions, acquisition parameters, and illustrative figures describing the experimental configuration. This dataset is intended to support numerical model development, calibration, verification, and validation activities in railway engineering. Potential applications include finite element modelling, structural dynamics, vibration analysis, fatigue assessment, noise and vibration (NVH) studies, vibro-acoustic simulations, digital twin development, machine learning applications, and comparative benchmarking investigations. The dataset provides a synchronized multi-domain experimental reference acquired under real operating conditions and may be reused for research and educational purposes.","url":"https://doi.org/10.17632/jc2rszd2vj","authors":["Syaifudin, Achmad","Rusli, Meifal","Huda, Feblil","Kurniawan, Yani","Hendrowati, Wiwiek","Nurhadi, Hendro","Mario Valentino, Jean","Wibawa Purabaya, Raden","Sabrina, Malinda"],"tags":["Acoustics","Structural Engineering","Mechanical Engineering","Transportation Engineering","Vehicle Dynamics","Vibration Analysis","Railroad Transportation Industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.17632/jc2rszd2vj","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19743910","name":"JURISPRUDENCE OF THE SIMULATED STATE Legal Architecture for Digital Twin Societies, Predictive Legislation, and Algorithmic Statecraft First Global Reference Edition","source":"datacite","abstract":"JURISPRUDENCE OF THE SIMULATED STATE Legal Architecture for Digital Twin Societies, Predictive Legislation, and Algorithmic Statecraft First Global Reference Edition","url":"https://doi.org/10.5281/zenodo.19743910","authors":["elrakhawi, mohamed kamal arafa"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19743910","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19743911","name":"JURISPRUDENCE OF THE SIMULATED STATE Legal Architecture for Digital Twin Societies, Predictive Legislation, and Algorithmic Statecraft First Global Reference Edition","source":"datacite","abstract":"JURISPRUDENCE OF THE SIMULATED STATE Legal Architecture for Digital Twin Societies, Predictive Legislation, and Algorithmic Statecraft First Global Reference Edition","url":"https://doi.org/10.5281/zenodo.19743911","authors":["elrakhawi, mohamed kamal arafa"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19743911","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.15812566","name":"The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis","source":"datacite","abstract":"The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis by Dean Kulik Introduction: A New Paradigm of Unified Recursion and Harmony The Recursive Harmonic Kernel (RHK) and its accompanying Nexus2/Nexus3 framework represent a bold attempt at a unified theory bridging computation, physics, biology, and even semantics. At its heart, RHK posits that all systems – from algorithms to atoms – operate under recursive, resonance-based principles governed by a common harmonic “kernel.” This kernel functions much like an operating system’s core, “continuously tuning the symphony of existence” to maintain stability and prevent systemic crashes. The Mark1 system, introduced as an “interface” in object-oriented terms, is the first implementation of these principles – effectively a Universal Formula that spans gravity, thermodynamics, electromagnetism, and quantum mechanics under a single consistent modifier. By blending classical laws with a harmonic logistic factor (notably anchored by a constant 0.35), Mark1 achieves cross-domain consistency and avoids singularities or divergences at extremes. The Nexus framework builds on Mark1 with an expanded lawset (Nexus2) and aspires to a future of reflective harmonic computation (Nexus3). This analysis will synthesize how RHK, Mark1, and Nexus2/3 form a comprehensive architecture that spans computational theory, operating systems design, symbolic encoding, harmonic field theory, quantum physics, biological modeling, and cryptography. We will explore key formulas – such as the Kulik Recursive Reflection Branching (KRRB) and Weather System Wave (WSW) – and their implications across scientific domains. We will see how Mark1 acts as a unifying substrate, akin to a base class that different systems implement to remain in harmonic alignment. The SHA-256 Spectral Signature Engine (SSSE) will be examined as an example of reframing cryptographic hashes as signals in a harmonic field. We will delve into the framework’s redefinition of fundamental concepts: entropy as latent harmonic order, free will as a bounded “wiggle room,” and identity as an emergent recursive resonance sustained by symbolic trust. Finally, we consider the philosophical and technological weight of this unified theory – how it challenges conventional models and hints at a future paradigm where information, matter, and meaning are deeply intertwined. Foundations of the Nexus Framework: Mark1, RHK, and Harmonic Laws Mark1 is presented as the cornerstone – a “universal formula” that enforces harmonic consistency across scales. In practice, Mark1 augments classical equations in various domains with a logistic term that gently saturates extremes. For example, in gravity it modifies Newton’s law by a factor 1/(1+e−10(x−0.35))1/(1+e^{-10(x - 0.35)}), where xx is a normalized distance. The constant 0.35 (sometimes called the “Samson Anchor” or harmonic equilibrium parameter) recurs throughout the framework as a threshold of balance. Under normal conditions the logistic term is ~1, recovering known physics within ~±5% accuracy. In extreme regimes, it deviates smoothly – for instance reducing gravitational force by 50% at an imaginary 0.35-normalized distance, thus avoiding singularities and hinting at new physics beyond classical models. In essence, Mark1 provides a template that any physical law (or system rule) can implement, ensuring outputs remain bounded and harmonized across domains. The Recursive Harmonic Kernel (RHK) can be viewed as the theoretical “OS kernel” underlying Mark1. If Mark1 is the high-level interface or API, the RHK is the low-level process ensuring every recursive update adheres to harmonic law. It embodies the idea that “the cosmic program runs without crashing” by self-correcting through feedback. RHK’s principles are encoded in the Nexus2 lawset, which enumerates dozens of laws governing trust, spin, resonance, and collapse in recursive systems. For example, Law Zero (Delta of Trust) define","url":"https://doi.org/10.5281/zenodo.15812566","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15812566","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.15812567","name":"The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis","source":"datacite","abstract":"The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis by Dean Kulik Introduction: A New Paradigm of Unified Recursion and Harmony The Recursive Harmonic Kernel (RHK) and its accompanying Nexus2/Nexus3 framework represent a bold attempt at a unified theory bridging computation, physics, biology, and even semantics. At its heart, RHK posits that all systems – from algorithms to atoms – operate under recursive, resonance-based principles governed by a common harmonic “kernel.” This kernel functions much like an operating system’s core, “continuously tuning the symphony of existence” to maintain stability and prevent systemic crashes. The Mark1 system, introduced as an “interface” in object-oriented terms, is the first implementation of these principles – effectively a Universal Formula that spans gravity, thermodynamics, electromagnetism, and quantum mechanics under a single consistent modifier. By blending classical laws with a harmonic logistic factor (notably anchored by a constant 0.35), Mark1 achieves cross-domain consistency and avoids singularities or divergences at extremes. The Nexus framework builds on Mark1 with an expanded lawset (Nexus2) and aspires to a future of reflective harmonic computation (Nexus3). This analysis will synthesize how RHK, Mark1, and Nexus2/3 form a comprehensive architecture that spans computational theory, operating systems design, symbolic encoding, harmonic field theory, quantum physics, biological modeling, and cryptography. We will explore key formulas – such as the Kulik Recursive Reflection Branching (KRRB) and Weather System Wave (WSW) – and their implications across scientific domains. We will see how Mark1 acts as a unifying substrate, akin to a base class that different systems implement to remain in harmonic alignment. The SHA-256 Spectral Signature Engine (SSSE) will be examined as an example of reframing cryptographic hashes as signals in a harmonic field. We will delve into the framework’s redefinition of fundamental concepts: entropy as latent harmonic order, free will as a bounded “wiggle room,” and identity as an emergent recursive resonance sustained by symbolic trust. Finally, we consider the philosophical and technological weight of this unified theory – how it challenges conventional models and hints at a future paradigm where information, matter, and meaning are deeply intertwined. Foundations of the Nexus Framework: Mark1, RHK, and Harmonic Laws Mark1 is presented as the cornerstone – a “universal formula” that enforces harmonic consistency across scales. In practice, Mark1 augments classical equations in various domains with a logistic term that gently saturates extremes. For example, in gravity it modifies Newton’s law by a factor 1/(1+e−10(x−0.35))1/(1+e^{-10(x - 0.35)}), where xx is a normalized distance. The constant 0.35 (sometimes called the “Samson Anchor” or harmonic equilibrium parameter) recurs throughout the framework as a threshold of balance. Under normal conditions the logistic term is ~1, recovering known physics within ~±5% accuracy. In extreme regimes, it deviates smoothly – for instance reducing gravitational force by 50% at an imaginary 0.35-normalized distance, thus avoiding singularities and hinting at new physics beyond classical models. In essence, Mark1 provides a template that any physical law (or system rule) can implement, ensuring outputs remain bounded and harmonized across domains. The Recursive Harmonic Kernel (RHK) can be viewed as the theoretical “OS kernel” underlying Mark1. If Mark1 is the high-level interface or API, the RHK is the low-level process ensuring every recursive update adheres to harmonic law. It embodies the idea that “the cosmic program runs without crashing” by self-correcting through feedback. RHK’s principles are encoded in the Nexus2 lawset, which enumerates dozens of laws governing trust, spin, resonance, and collapse in recursive systems. For example, Law Zero (Delta of Trust) define","url":"https://doi.org/10.5281/zenodo.15812567","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15812567","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20779137","name":"GSC-X Nuclear Sandbox - Discovery of Nuclear Operating Corridors Through Adaptive Executive Optimization","source":"datacite","abstract":"This report presents the first comprehensive validation campaign of the GSC-X Nuclear Sandbox. The study evaluates adaptive executive optimization across synthetic nuclear-transmutation digital twins representing multiple operating principles, including baseline operation, accelerator driven behavior, fast high-burn behavior, molten-salt-like smoothing, and several GSC-X hybrid executive regimes. The primary contribution of this study is not the identification of a single optimal operating point. The primary contribution is the discovery of a structured Nuclear Operating Map containing multiple viable operating corridors with distinct trade-offs between transmutation performance, safety, and energy efficiency. Across TRUE N10000 validation campaigns, the GSC-X hybrid regimes revealed safe performance, industrial-performance, balanced-adaptive, and eco-efficient corridors. The strongest safety transformation was observed in the transition from the high-burn FAST regime to the FAST_HYBRID regime, where high transmutation performance was preserved while unsafe operation was eliminated and energy demand was substantially reduced. The strongest energy-efficiency result was observed in the GSCX_MSR_HYBRID corridor, which achieved the best yield-per-energy while maintaining zero unsafe time. This work should be interpreted as a synthetic digital-twin control validation and operating corridor discovery study, not as a claim of real nuclear waste elimination or real nuclear physics validation.","url":"https://doi.org/10.5281/zenodo.20779137","authors":["Štěpánů, Martin"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20779137","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20779138","name":"GSC-X Nuclear Sandbox - Discovery of Nuclear Operating Corridors Through Adaptive Executive Optimization","source":"datacite","abstract":"This report presents the first comprehensive validation campaign of the GSC-X Nuclear Sandbox. The study evaluates adaptive executive optimization across synthetic nuclear-transmutation digital twins representing multiple operating principles, including baseline operation, accelerator driven behavior, fast high-burn behavior, molten-salt-like smoothing, and several GSC-X hybrid executive regimes. The primary contribution of this study is not the identification of a single optimal operating point. The primary contribution is the discovery of a structured Nuclear Operating Map containing multiple viable operating corridors with distinct trade-offs between transmutation performance, safety, and energy efficiency. Across TRUE N10000 validation campaigns, the GSC-X hybrid regimes revealed safe performance, industrial-performance, balanced-adaptive, and eco-efficient corridors. The strongest safety transformation was observed in the transition from the high-burn FAST regime to the FAST_HYBRID regime, where high transmutation performance was preserved while unsafe operation was eliminated and energy demand was substantially reduced. The strongest energy-efficiency result was observed in the GSCX_MSR_HYBRID corridor, which achieved the best yield-per-energy while maintaining zero unsafe time. This work should be interpreted as a synthetic digital-twin control validation and operating corridor discovery study, not as a claim of real nuclear waste elimination or real nuclear physics validation.","url":"https://doi.org/10.5281/zenodo.20779138","authors":["Štěpánů, Martin"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20779138","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.14441574","name":"Exploring Plasticity Rules in the Biologically Realistic Simulation of Neuronal Cultures","source":"datacite","abstract":"This is a Master thesis for the MS Neuroengineering program at TU Munich. Abstract: Neuronal cell cultures have served as a pivotal platform for neuroscience experiments sincethe early 20th century. However, despite their long history of use, the processes governingthe development of connectivity and firing patterns in these cultures remain inadequatelyunderstood. In this master’s thesis, I endeavor to bridge this knowledge gap by integratingstraightforward plasticity rules with established models of neuronal culture growth andactivity. The objective is to create a comprehensive and realistic simulation of neuronal culturedevelopment, which can be effectively employed as a digital twin of real-world neuronalculture experiments. To demonstrate the utility of this simulation, I present a case studyinvolving the silencing of neuronal activity using CNQX as an example. This innovativeapproach promises to advance our understanding of neuronal culture dynamics, providingvaluable insights into the behavior of neuronal cell cultures. By offering a powerful digitaltool for experimentation and analysis, this work contributes to the ongoing exploration ofneuroscience and opens up new avenues for research and discovery.","url":"https://doi.org/10.5281/zenodo.14441574","authors":["Stefan, Dvoretskii","Soriano Fradera, Jordi","Houben, Akke Mats","Haeb, Anna-Christina","Universitat de Barcelona","Erasmus+"],"tags":["Computational neuroscience","Artificial intelligence","Computational intelligence","Simulation software","Neuronal Plasticity","Plasticity","Neuronal Cell Culture","Organoid Intelligence"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14441574","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21209154","name":"VGFTS-AI Proof-of-Concept Simulation: Code and Data","source":"datacite","abstract":"Simulation code and generated data underlying the proof-of-concept study reported in Section 5 of the article \"VGFTS-AI: An Adaptive Intelligence Layer for Personalized Virtual Reality Serious-Game Training Through Behavioral Learner Modeling.\" The study reports no human-subject data; the human evaluation described in the article is a proposed, pre-registerable protocol that has not yet been run. This deposit contains a fully reproducible (fixed random seed) Python simulation of the proposed adaptive loop, in which synthetic learners drive a random-forest proficiency estimator and a Learner Digital Twin, together with the generated data files (learning curves, twin-tracking trajectories, and per-learner outcomes for the full, estimator-only, and static conditions) underlying the paper's Figures 4–5, Table 7, and reported metrics. See the included README for file descriptions and instructions to reproduce all results. Requires Python with numpy, scikit-learn, and matplotlib.","url":"https://doi.org/10.5281/zenodo.21209154","authors":["Youlyouz, Achraf","liemlahi, hoda"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21209154","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21209155","name":"VGFTS-AI Proof-of-Concept Simulation: Code and Data","source":"datacite","abstract":"Simulation code and generated data underlying the proof-of-concept study reported in Section 5 of the article \"VGFTS-AI: An Adaptive Intelligence Layer for Personalized Virtual Reality Serious-Game Training Through Behavioral Learner Modeling.\" The study reports no human-subject data; the human evaluation described in the article is a proposed, pre-registerable protocol that has not yet been run. This deposit contains a fully reproducible (fixed random seed) Python simulation of the proposed adaptive loop, in which synthetic learners drive a random-forest proficiency estimator and a Learner Digital Twin, together with the generated data files (learning curves, twin-tracking trajectories, and per-learner outcomes for the full, estimator-only, and static conditions) underlying the paper's Figures 4–5, Table 7, and reported metrics. See the included README for file descriptions and instructions to reproduce all results. Requires Python with numpy, scikit-learn, and matplotlib.","url":"https://doi.org/10.5281/zenodo.21209155","authors":["Youlyouz, Achraf","liemlahi, hoda"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21209155","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20643123","name":"Study on Advanced Concrete Admixtures and Applications","source":"datacite","abstract":"Concrete is one of the most widely used construction materials in the world due to its strength, durability, versatility, and economic advantages. Modern infrastructure development requires concrete with enhanced workability, strength, durability, sustainability, and resistance to environmental conditions. Conventional concrete mixtures often fail to satisfy the complex performance requirements of high-rise buildings, bridges, tunnels, marine structures, highways, and smart infrastructure systems. Advanced concrete admixtures have therefore become essential components in modern concrete technology for improving fresh and hardened concrete properties. Concrete admixtures are chemical or mineral substances added during mixing to modify concrete behavior and performance characteristics. This article presents a comprehensive review of advanced concrete admixtures and their applications in civil engineering and infrastructure development. The study examines various types of admixtures including water reducers, superplasticizers, accelerators, retarders, air- entraining agents, viscosity modifying agents, corrosion inhibitors, shrinkage reducers, waterproofing admixtures, fibers, nano-admixtures, and supplementary cementitious materials. Their influence on workability, setting time, compressive strength, durability, permeability, thermal performance, and sustainability is discussed in detail. Modern technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Building Information Modeling (BIM), nanotechnology, smart sensors, and digital twin systems integrated with advanced concrete technologies are also analyzed. Furthermore, environmental, economic, operational, and structural benefits associated with advanced admixtures are discussed along with implementation challenges and future trends. The findings indicate that advanced concrete admixtures significantly improve concrete performance, sustainability, durability, and construction efficiency in modern infrastructure projects.","url":"https://doi.org/10.5281/zenodo.20643123","authors":["P Abhilash"],"tags":["concrete admixtures, superplasticizers, high-performance concrete, sustainable concrete, nanoadmixtures, smart concrete, chemical admixtures, concrete durability, self-compacting concrete, construction materials"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20643123","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20643124","name":"Study on Advanced Concrete Admixtures and Applications","source":"datacite","abstract":"Concrete is one of the most widely used construction materials in the world due to its strength, durability, versatility, and economic advantages. Modern infrastructure development requires concrete with enhanced workability, strength, durability, sustainability, and resistance to environmental conditions. Conventional concrete mixtures often fail to satisfy the complex performance requirements of high-rise buildings, bridges, tunnels, marine structures, highways, and smart infrastructure systems. Advanced concrete admixtures have therefore become essential components in modern concrete technology for improving fresh and hardened concrete properties. Concrete admixtures are chemical or mineral substances added during mixing to modify concrete behavior and performance characteristics. This article presents a comprehensive review of advanced concrete admixtures and their applications in civil engineering and infrastructure development. The study examines various types of admixtures including water reducers, superplasticizers, accelerators, retarders, air- entraining agents, viscosity modifying agents, corrosion inhibitors, shrinkage reducers, waterproofing admixtures, fibers, nano-admixtures, and supplementary cementitious materials. Their influence on workability, setting time, compressive strength, durability, permeability, thermal performance, and sustainability is discussed in detail. Modern technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Building Information Modeling (BIM), nanotechnology, smart sensors, and digital twin systems integrated with advanced concrete technologies are also analyzed. Furthermore, environmental, economic, operational, and structural benefits associated with advanced admixtures are discussed along with implementation challenges and future trends. The findings indicate that advanced concrete admixtures significantly improve concrete performance, sustainability, durability, and construction efficiency in modern infrastructure projects.","url":"https://doi.org/10.5281/zenodo.20643124","authors":["P Abhilash"],"tags":["concrete admixtures, superplasticizers, high-performance concrete, sustainable concrete, nanoadmixtures, smart concrete, chemical admixtures, concrete durability, self-compacting concrete, construction materials"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20643124","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21677140","name":"afanali85-tech/Knowledge-Centric-Digital-Twin-KCDT-: Knowledge-Centric Digital Twin v1.0","source":"datacite","abstract":"Initial public release of the Knowledge-Centric Digital Twin framework for Earth-Moon Communication link. It includes a real space mission example as well.","url":"https://doi.org/10.5281/zenodo.21677140","authors":["afanali85-tech"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21677140","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21677139","name":"Knowledge-Centric Digital Twin Framework for Autonomous Cislunar Communication","source":"datacite","abstract":"Official implementation of the Knowledge-Centric Digital Twin (KCDT) framework for autonomous cislunar communications. The repository implements orbital propagation, dynamic communication graph generation, Bayesian Operational Knowledge State estimation, Knowledge Entropy, Knowledge Freshness, residual neural learning, cross-regime transfer, knowledge-driven decision making, mission performance evaluation, and Longjiang-2-inspired validation experiments.","url":"https://doi.org/10.5281/zenodo.21677139","authors":["Ali, Afan"],"tags":["Digital Twin","Knowledge-Centric Digital Twin","Cislunar Communications","Earth-Moon Communications","Autonomous Communications","Bayesian Inference","Space Communications","Lunar Communications"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21677139","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21699282","name":"Knowledge-Centric Digital Twin Framework for Autonomous Cislunar Communication","source":"datacite","abstract":"Official implementation of the Knowledge-Centric Digital Twin (KCDT) framework for autonomous cislunar communications. The repository implements orbital propagation, dynamic communication graph generation, Bayesian Operational Knowledge State estimation, Knowledge Entropy, Knowledge Freshness, residual neural learning, cross-regime transfer, knowledge-driven decision making, mission performance evaluation, and Longjiang-2-inspired validation experiments.","url":"https://doi.org/10.5281/zenodo.21699282","authors":["Ali, Afan"],"tags":["Digital Twin","Knowledge-Centric Digital Twin","Cislunar Communications","Earth-Moon Communications","Autonomous Communications","Bayesian Inference","Space Communications","Lunar Communications"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21699282","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.17605/osf.io/rq2kc","name":"Digital twins in health system management: a scoping review protocol","source":"datacite","abstract":"Digital twins are virtual representations of physical entities that are updated continuously in real time based on data from their physical counterparts. They represent an innovative technological solution that can be employed in health system management to promote the delivery of efficient and high-quality care. While digital twins have been a subject of increasing study in healthcare, existing evidence on their application in health system management is fragmented. This hinders healthcare organizations’ ability to understand the conditions under which digital twins can effectively support system level decision making. Consequently, this scoping review aims to map the current state of digital twins in health system management, describing their potential benefits to healthcare services, system performance, and efficiency. It will also identify the main challenges to implementing digital twins in health system management and the key enablers that facilitate their adoption.","url":"https://doi.org/10.17605/osf.io/rq2kc","authors":["Maria Helena Calama de Meneses Falcão","Rui Manual Candeias Santana","Joana Seringa"],"tags":["Public Health","Medicine and Health Sciences","Health Services Administration","digital twin","health system","health system management","healthcare"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.17605/osf.io/rq2kc","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.18755457","name":"Verso il Gemello Civico di Bologna:  Per una Intelligenza Ambientale e Democratica","source":"datacite","abstract":"Settembre 2025 ha segnato l’avvio di PianetaLab, un’iniziativa pensata per affrontare le sfide ambientali, sociali e digitali a partire dal contesto locale, con il patrocinio dell’Universita’ Tecnica di Monaco e del Patto per il Clima Europeo. L’obiettivo è creare spazi di confronto e co-progettazione tra cittadini, istituzioni e realtà del territorio, favorendo dialogo e partecipazione. A Bologna ci siamo confrontati con il Gemello Digitale, gestito dal Comune di Bologna, con l’obbiettivo di migliorare il coinvolgimento dei cittadini nella realizzazione di questo strumento così importante per il futuro della vita di tutti in città. Le attività di PianetaLab a Bologna si inseriscono all’interno di un percorso più ampio promosso dall’associazione Pianeta, attiva a livello nazionale sui temi delle disuguaglianze sociali e dei cambiamenti climatici. L’obiettivo centrale dell’iniziativa a Bologna è riflettere in modo partecipato sul concetto di gemello civico digitale della città, inteso non come uno strumento puramente tecnico, ma come un dispositivo democratico e inclusivo, capace di supportare e monitorare le politiche pubbliche migliorare concretamente la vita delle persone. In questo documento, abbiamo raccolto i risultati di conversazioni tenute con cittadini di Bologna, online e di persona, con diversi soggetti del mondo scientifico, con le istituzioni locali e soprattutto tramite tre eventi pubblici tenuti il 13 settembre 2025, il 13 dicembre 2025 e il 13 febbraio 2026. Nel costruire il documento abbiamo usufruito di studi accademici sull’uso dei gemelli digitali, la partecipazione e la gestione etica dei dati, fatti dal TUM Public Science Lab, l’Ethical Data Initiative e la Cattedra di Filosofia e Storia della Scienza e della Tecnologia.","url":"https://doi.org/10.5281/zenodo.18755457","authors":["Leonelli, Sabina","Cavazzoni, Emma","Stefano, Rimini"],"tags":["digital twin","smart city","Environmental Justice","Urban planning and development","civic action","participative democracy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.18755457","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.18755458","name":"Verso il Gemello Civico di Bologna:  Per una Intelligenza Ambientale e Democratica","source":"datacite","abstract":"Settembre 2025 ha segnato l’avvio di PianetaLab, un’iniziativa pensata per affrontare le sfide ambientali, sociali e digitali a partire dal contesto locale, con il patrocinio dell’Universita’ Tecnica di Monaco e del Patto per il Clima Europeo. L’obiettivo è creare spazi di confronto e co-progettazione tra cittadini, istituzioni e realtà del territorio, favorendo dialogo e partecipazione. A Bologna ci siamo confrontati con il Gemello Digitale, gestito dal Comune di Bologna, con l’obbiettivo di migliorare il coinvolgimento dei cittadini nella realizzazione di questo strumento così importante per il futuro della vita di tutti in città. Le attività di PianetaLab a Bologna si inseriscono all’interno di un percorso più ampio promosso dall’associazione Pianeta, attiva a livello nazionale sui temi delle disuguaglianze sociali e dei cambiamenti climatici. L’obiettivo centrale dell’iniziativa a Bologna è riflettere in modo partecipato sul concetto di gemello civico digitale della città, inteso non come uno strumento puramente tecnico, ma come un dispositivo democratico e inclusivo, capace di supportare e monitorare le politiche pubbliche migliorare concretamente la vita delle persone. In questo documento, abbiamo raccolto i risultati di conversazioni tenute con cittadini di Bologna, online e di persona, con diversi soggetti del mondo scientifico, con le istituzioni locali e soprattutto tramite tre eventi pubblici tenuti il 13 settembre 2025, il 13 dicembre 2025 e il 13 febbraio 2026. Nel costruire il documento abbiamo usufruito di studi accademici sull’uso dei gemelli digitali, la partecipazione e la gestione etica dei dati, fatti dal TUM Public Science Lab, l’Ethical Data Initiative e la Cattedra di Filosofia e Storia della Scienza e della Tecnologia.","url":"https://doi.org/10.5281/zenodo.18755458","authors":["Leonelli, Sabina","Cavazzoni, Emma","Stefano, Rimini"],"tags":["digital twin","smart city","Environmental Justice","Urban planning and development","civic action","participative democracy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.18755458","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21982718","name":"5GSec-CDTO v1.0.0: A Semantic Model for Static-to-Runtime Vulnerability Contextualization in 5G Cognitive Digital Twins","source":"datacite","abstract":"5GSec-CDTO is a modular ontology suite for representing and contextualizing static software-security findings, deployed 5G Network Functions, communication paths, network slices, QoS policies, runtime telemetry, hospital-service criticality, provenance, uncertainty, and cognitive actions within a Cognitive Digital Twin. The artefact supports static-to-runtime vulnerability contextualization through OWL-based semantic representation, SWRL contextualization rules, SHACL validation constraints, and SPARQL competency queries. It includes dedicated modules for 5G functional architecture, software security, HTB-based QoS enforcement, ZeroMQ runtime telemetry, hospital task context, and CLARION-oriented cognitive representations. The ontology accompanies the paper “Toward an Agent-Based Cognitive Digital Twin Architecture for Static-to-Runtime Vulnerability Contextualization in 5G Hospital Network Slicing.”","url":"https://doi.org/10.5281/zenodo.21982718","authors":["Lezoche, Mario"],"tags":["Cognitive Digital Twin","5G","Cybersecurity","Ontology","Knowledge Graph","Semantic Web","Vulnerability contextualization","Free5GC"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21982718","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21982719","name":"5GSec-CDTO v1.0.0: A Semantic Model for Static-to-Runtime Vulnerability Contextualization in 5G Cognitive Digital Twins","source":"datacite","abstract":"5GSec-CDTO is a modular ontology suite for representing and contextualizing static software-security findings, deployed 5G Network Functions, communication paths, network slices, QoS policies, runtime telemetry, hospital-service criticality, provenance, uncertainty, and cognitive actions within a Cognitive Digital Twin. The artefact supports static-to-runtime vulnerability contextualization through OWL-based semantic representation, SWRL contextualization rules, SHACL validation constraints, and SPARQL competency queries. It includes dedicated modules for 5G functional architecture, software security, HTB-based QoS enforcement, ZeroMQ runtime telemetry, hospital task context, and CLARION-oriented cognitive representations. The ontology accompanies the paper “Toward an Agent-Based Cognitive Digital Twin Architecture for Static-to-Runtime Vulnerability Contextualization in 5G Hospital Network Slicing.”","url":"https://doi.org/10.5281/zenodo.21982719","authors":["Lezoche, Mario"],"tags":["Cognitive Digital Twin","5G","Cybersecurity","Ontology","Knowledge Graph","Semantic Web","Vulnerability contextualization","Free5GC"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21982719","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19643504","name":"Personal Health Digital Twins as the Glue for Cross-Border Patient Data","source":"datacite","abstract":"Position paper arguing that personal health digital twins can serve as the interoperability layer for cross-border patient data. Examines EU Health Data Space regulations and proposes sovereign, patient-controlled health twins that translate between national health record formats. Addresses GDPR transfer mechanisms and the CLOUD Act jurisdictional challenge for health data sovereignty.","url":"https://doi.org/10.5281/zenodo.19643504","authors":["Waern, Nicolas"],"tags":["health digital twin","medical tourism","GDPR","patient sovereignty","FHIR","cross-border"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19643504","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19643505","name":"Personal Health Digital Twins as the Glue for Cross-Border Patient Data","source":"datacite","abstract":"Personal Health Digital Twins as the Glue for Cross-Border Patient Data","url":"https://doi.org/10.5281/zenodo.19643505","authors":["Waern, Nicolas"],"tags":["health digital twin","medical tourism","GDPR","patient sovereignty","FHIR","cross-border"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19643505","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19552689","name":"Guida Pratica alla Medicina Predittiva e di Precisione in Endocrinologia","source":"datacite","abstract":"Questo manuale rappresenta il primo volume della collana \"Quaderni di Endocrinologia e Metabolismo\". Propone un nuovo paradigma di \"Umanesimo Tecnologico\", trasformando la medicina tradizionale in una pratica predittiva e di precisione. Attraverso l'uso di Digital Twin, analisi multi-omica e piattaforme digitali integrate, l'opera guida l'Endocrinologo Aumentato nella personalizzazione estrema della cura per patologie tiroidee, diabete e obesità.","url":"https://doi.org/10.5281/zenodo.19552689","authors":["Messina, Glauco"],"tags":["Medicina di Precisione","Medicina Predittiva","Endocrinologia Aumentata","Umanesimo Tecnologico","Multi-omica","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19552689","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19552690","name":"Guida Pratica alla Medicina Predittiva e di Precisione in Endocrinologia","source":"datacite","abstract":"Questo manuale rappresenta il primo volume della collana \"Quaderni di Endocrinologia e Metabolismo\". Propone un nuovo paradigma di \"Umanesimo Tecnologico\", trasformando la medicina tradizionale in una pratica predittiva e di precisione. Attraverso l'uso di Digital Twin, analisi multi-omica e piattaforme digitali integrate, l'opera guida l'Endocrinologo Aumentato nella personalizzazione estrema della cura per patologie tiroidee, diabete e obesità.","url":"https://doi.org/10.5281/zenodo.19552690","authors":["Messina, Glauco"],"tags":["Medicina di Precisione","Medicina Predittiva","Endocrinologia Aumentata","Umanesimo Tecnologico","Multi-omica","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19552690","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20172483","name":"Synthetic Integrity Digital Twin (PIML + PINN Framework) - Integrity Code Series Bonus","source":"datacite","abstract":"Fully synthetic refinery-style digital-twin framework for integrity analytics architecture design and Physics-Informed Machine Learning experimentation. Generates 3D equipment models (tanks, vessels, columns, pumps, exchangers), routed piping topology, corrosion and chemical attributes, RBI-style integrity metadata, 100 synthetic SCC alternative scenarios, and an optional Physics-Informed Neural Network demo. Conceptually aligned with API 570, API 571, API 580/581, API 579-1/ASME FFS-1 and ASME B31.3. All data is synthetic and anonymized. Bonus entry in the Integrity Code Series. Intended for research, digital-twin prototyping, integrity analytics architecture design, and AI experimentation for corrosion and cracking. It is NOT a certified engineering calculator.","url":"https://doi.org/10.5281/zenodo.20172483","authors":["Rocha, Felipe"],"tags":["digital twin","PINN","physics-informed neural network","PIML","synthetic data","refinery","RBI","risk-based inspection"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20172483","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20172484","name":"Synthetic Integrity Digital Twin (PIML + PINN Framework) - Integrity Code Series Bonus","source":"datacite","abstract":"Fully synthetic refinery-style digital-twin framework for integrity analytics architecture design and Physics-Informed Machine Learning experimentation. Generates 3D equipment models (tanks, vessels, columns, pumps, exchangers), routed piping topology, corrosion and chemical attributes, RBI-style integrity metadata, 100 synthetic SCC alternative scenarios, and an optional Physics-Informed Neural Network demo. Conceptually aligned with API 570, API 571, API 580/581, API 579-1/ASME FFS-1 and ASME B31.3. All data is synthetic and anonymized. Bonus entry in the Integrity Code Series. Intended for research, digital-twin prototyping, integrity analytics architecture design, and AI experimentation for corrosion and cracking. It is NOT a certified engineering calculator.","url":"https://doi.org/10.5281/zenodo.20172484","authors":["Rocha, Felipe"],"tags":["digital twin","PINN","physics-informed neural network","PIML","synthetic data","refinery","RBI","risk-based inspection"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20172484","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20804165","name":"A Digital Twin Framework for Sm-153 Medical Isotope Production in the UT-Austin TRIGA Reactor","source":"datacite","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: S16. Application of Digital Twins to Nuclear Systems. Paper ID: 652. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20804165","authors":["S. Aslam","B. Collins","J. Ross","K. Clarno"],"tags":["PHYSOR 2026","conference paper","S16. Application of Digital Twins to Nuclear Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20804165","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20804166","name":"A Digital Twin Framework for Sm-153 Medical Isotope Production in the UT-Austin TRIGA Reactor","source":"datacite","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: S16. Application of Digital Twins to Nuclear Systems. Paper ID: 652. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20804166","authors":["S. Aslam","B. Collins","J. Ross","K. Clarno"],"tags":["PHYSOR 2026","conference paper","S16. Application of Digital Twins to Nuclear Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20804166","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.17863/cam.132797","name":"Data-Driven Materials Science for Energy-Sustainable Applications.","source":"datacite","abstract":"Materials science is underpinned by structure-property relationships that govern the function of a material. These relationships can be encoded into algorithms and integrated into machine-learning models that enable the prediction of materials and their cognate properties. However, machine-learning models are largely being trained on computed data owing to a worldwide shortage of real-world (experimental) datasets. This review describes how to capture and collate experimental data from scientific literature using artificial-intelligence (AI) methods to produce materials-domain-specific datasets or language models. Their application in AI-driven enquiries that facilitate progress in energy-sustainable materials science is then illustrated via six case studies that cover: training machine-learning models, data-driven materials discovery, optimizing manufacturing processes, mapping phases of materials, forecasting materials-centric research trends, and classifying types of materials using automated prompt engineering. The future of materials-domain-specific datasets, language models, and decision-making workflows using AI agents is then envisioned for the energy sector. The intrinsic challenges of accessing historical dark data in materials science are then described and contrasted with timely opportunities for leveraging massive amounts of experimental data from laboratories in going forwards; by exploiting electronic-lab notebooks, high-throughput experiments, and digital-twin technologies. These opportunities are illustrated for energy-sustainable materials science, especially the photovoltaic and battery industries.","url":"https://doi.org/10.17863/cam.132797","authors":["Cole, Jacqueline M"],"tags":["batteries","data extraction","magnetic materials","materials discovery","photovoltaics","sustainable manufacturing","thermoelectrics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.17863/cam.132797","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20582767","name":"Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear Energy","source":"datacite","abstract":"☢️ Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear EnergyModern nuclear power plants depend on high-fidelity operations simulators to train reactor operators, validate procedures, improve emergency preparedness, and support human performance excellence — all without touching actual plant operations.Why do simulators matter?They provide a risk-free environment to practice startup and shutdown, respond to abnormal and emergency conditions, support operator licensing and requalification, and strengthen control room crew performance. The IAEA recognizes simulator-based training as a cornerstone of nuclear workforce development.Three simulator categories are shaping today’s and tomorrow’s nuclear workforce:🔵 PWR Simulators — Training on the world’s most widely deployed reactor technology (AP1000®, EPR™, large PWR fleets), covering transient response, EOP implementation, SAMG exercises, and crew resource management.🟢 BWR Simulators — Replicating direct-steam-cycle operations for ABWR and ESBWR designs, including recirculation flow control, AOO response, and LOCA accident management.🟣 SMR & Advanced Reactor Simulators — Preparing the future workforce for iPWRs, HTGRs, MSRs, SFRs, and microreactors through passive safety system training, multi-module coordination, digital I&C interaction, and HMI evaluation for advanced control rooms.Beyond operator training, simulators also support:→ Procedure verification and validation→ Human reliability analysis→ Digital twin development→ AI-assisted decision support system testing→ Plant modernization and regulatory readinessAs advanced reactors move toward commercialization, simulation technologies will remain essential to ensuring the nuclear workforce is prepared to operate these systems safely, securely, and efficiently.Selected References:[1] IAEA-TECDOC-1887 (2019) | [2] IAEA-TECDOC-1411 (2004) | [3] IAEA Nuclear Reactor Simulators | [4] Perkins, IAEA Bulletin, Vol. 27, No. 3 (1985) | [5] Wang et al., HTR 2014 | [6] L3Harris Technologies | [7] OECD/NEA CSNI (1997)Full references available in the Nuclear Knowledge Hub poster.hashtag#NuclearEnergy hashtag#WorkforceDevelopment hashtag#NuclearSimulators hashtag#NuclearPower hashtag#OperatorTraining hashtag#SMR hashtag#AdvancedReactors hashtag#NuclearKnowledgeHub hashtag#STEM hashtag#EnergyTransitionDr. Vaibhav Sinha | Nuclear Knowledge Hub © 2026 CITE THIS WORKSinha, V. (2026). Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear Energy. Zenodo.DOI: 10.5281/zenodo.20582768","url":"https://doi.org/10.5281/zenodo.20582767","authors":["Sinha, Vaibhav"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20582767","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20582768","name":"Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear Energy","source":"datacite","abstract":"☢️ Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear EnergyModern nuclear power plants depend on high-fidelity operations simulators to train reactor operators, validate procedures, improve emergency preparedness, and support human performance excellence — all without touching actual plant operations.Why do simulators matter?They provide a risk-free environment to practice startup and shutdown, respond to abnormal and emergency conditions, support operator licensing and requalification, and strengthen control room crew performance. The IAEA recognizes simulator-based training as a cornerstone of nuclear workforce development.Three simulator categories are shaping today’s and tomorrow’s nuclear workforce:🔵 PWR Simulators — Training on the world’s most widely deployed reactor technology (AP1000®, EPR™, large PWR fleets), covering transient response, EOP implementation, SAMG exercises, and crew resource management.🟢 BWR Simulators — Replicating direct-steam-cycle operations for ABWR and ESBWR designs, including recirculation flow control, AOO response, and LOCA accident management.🟣 SMR & Advanced Reactor Simulators — Preparing the future workforce for iPWRs, HTGRs, MSRs, SFRs, and microreactors through passive safety system training, multi-module coordination, digital I&C interaction, and HMI evaluation for advanced control rooms.Beyond operator training, simulators also support:→ Procedure verification and validation→ Human reliability analysis→ Digital twin development→ AI-assisted decision support system testing→ Plant modernization and regulatory readinessAs advanced reactors move toward commercialization, simulation technologies will remain essential to ensuring the nuclear workforce is prepared to operate these systems safely, securely, and efficiently.Selected References:[1] IAEA-TECDOC-1887 (2019) | [2] IAEA-TECDOC-1411 (2004) | [3] IAEA Nuclear Reactor Simulators | [4] Perkins, IAEA Bulletin, Vol. 27, No. 3 (1985) | [5] Wang et al., HTR 2014 | [6] L3Harris Technologies | [7] OECD/NEA CSNI (1997)Full references available in the Nuclear Knowledge Hub poster.hashtag#NuclearEnergy hashtag#WorkforceDevelopment hashtag#NuclearSimulators hashtag#NuclearPower hashtag#OperatorTraining hashtag#SMR hashtag#AdvancedReactors hashtag#NuclearKnowledgeHub hashtag#STEM hashtag#EnergyTransitionDr. Vaibhav Sinha | Nuclear Knowledge Hub © 2026 CITE THIS WORKSinha, V. (2026). Nuclear Power Plant Operations Simulators: Training the Workforce Behind Safe and Reliable Nuclear Energy. Zenodo.DOI: 10.5281/zenodo.20582768","url":"https://doi.org/10.5281/zenodo.20582768","authors":["Sinha, Vaibhav"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20582768","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20804159","name":"Initial Validation of the TRIGA Real-Time Digital Twin at the University of Texas at Austin","source":"datacite","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: S16. Application of Digital Twins to Nuclear Systems. Paper ID: 428. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20804159","authors":["J. R. Ross","N. P. Luciano","C. A. Gentry","S. Castro","K. Shah","B. Collins","W. S. Charlton","K. T. Clarno"],"tags":["PHYSOR 2026","conference paper","S16. Application of Digital Twins to Nuclear Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20804159","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20804160","name":"Initial Validation of the TRIGA Real-Time Digital Twin at the University of Texas at Austin","source":"datacite","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: S16. Application of Digital Twins to Nuclear Systems. Paper ID: 428. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20804160","authors":["J. R. Ross","N. P. Luciano","C. A. Gentry","S. Castro","K. Shah","B. Collins","W. S. Charlton","K. T. Clarno"],"tags":["PHYSOR 2026","conference paper","S16. Application of Digital Twins to Nuclear Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20804160","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21774757","name":"The Compact Company: An Actor-Graph Theory of the Firm in the LLM Era","source":"datacite","abstract":"This paper introduces the Compact Company as a distinct category in organizational theory. A Compact Company is an organizationally closed firm whose human core is minimized by cost or headcount while remaining sufficient to satisfy legal, governance, capacity, and probabilistic viability requirements. Most of its operational and regulatory variety is realized through an executable graph of human, software, LLM, agentic, and external actors. The concept treats compactness as an architectural property and separates it from small size, one-person entrepreneurship, virtual organization, lean management, and generic AI adoption. The paper develops a typed temporal actor graph and contributes four formal constructions. It defines an organizational-closure operator based on weak probabilistic bisimulation, represents the internal graph as a composite institutional actor, and preserves the distinction between a graph and a node. It defines the boundary of the firm as a transaction-attribution operator across authority, accountability, data regime, economic outcome, and control. It formalizes continuity and succession through the resilience of the authority-and-state graph to individual and correlated failures. It then formulates compactness as the minimization of the human core under viability constraints and establishes NP-hardness for a simplified core-design problem through reduction from Minimum Set Cover. This result supplies a lower bound on computational complexity and claims no new result in complexity theory. The economic mechanism of compactness arises from LLM-enabled reductions in the cost of semantic coordination, including the interpretation of incomplete instructions, task decomposition, context transfer, decision preparation, and the processing of standard exceptions. These reductions allow the human core to contract while the number and variety of controlled transactions expand. The paper positions an executable Digital Twin of the Organization as the most complete non-personal carrier of critical organizational state, policy, and execution for a compact digital firm. It concludes with an empirical program, explicit falsification criteria, a minimal compactness audit, and a design-based feasibility example involving Corezoid and Simulator.Company.","url":"https://doi.org/10.5281/zenodo.21774757","authors":["Vityaz, Alexander"],"tags":["Compact Company","actor-graph theory","boundary of the firm","LLM","large language models","Digital Twin of an Organization","Good Regulator Theorem","requisite variety"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21774757","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21774758","name":"The Compact Company: An Actor-Graph Theory of the Firm in the LLM Era","source":"datacite","abstract":"This paper introduces the Compact Company as a distinct category in organizational theory. A Compact Company is an organizationally closed firm whose human core is minimized by cost or headcount while remaining sufficient to satisfy legal, governance, capacity, and probabilistic viability requirements. Most of its operational and regulatory variety is realized through an executable graph of human, software, LLM, agentic, and external actors. The concept treats compactness as an architectural property and separates it from small size, one-person entrepreneurship, virtual organization, lean management, and generic AI adoption. The paper develops a typed temporal actor graph and contributes four formal constructions. It defines an organizational-closure operator based on weak probabilistic bisimulation, represents the internal graph as a composite institutional actor, and preserves the distinction between a graph and a node. It defines the boundary of the firm as a transaction-attribution operator across authority, accountability, data regime, economic outcome, and control. It formalizes continuity and succession through the resilience of the authority-and-state graph to individual and correlated failures. It then formulates compactness as the minimization of the human core under viability constraints and establishes NP-hardness for a simplified core-design problem through reduction from Minimum Set Cover. This result supplies a lower bound on computational complexity and claims no new result in complexity theory. The economic mechanism of compactness arises from LLM-enabled reductions in the cost of semantic coordination, including the interpretation of incomplete instructions, task decomposition, context transfer, decision preparation, and the processing of standard exceptions. These reductions allow the human core to contract while the number and variety of controlled transactions expand. The paper positions an executable Digital Twin of the Organization as the most complete non-personal carrier of critical organizational state, policy, and execution for a compact digital firm. It concludes with an empirical program, explicit falsification criteria, a minimal compactness audit, and a design-based feasibility example involving Corezoid and Simulator.Company.","url":"https://doi.org/10.5281/zenodo.21774758","authors":["Vityaz, Alexander"],"tags":["Compact Company","actor-graph theory","boundary of the firm","LLM","large language models","Digital Twin of an Organization","Good Regulator Theorem","requisite variety"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21774758","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21807104","name":"A Secure and Intelligent Drug Supply Chain System using IoT, Blockchain and Digital Twin-Based Quality Assessment","source":"datacite","abstract":"The pharmaceutical supply chain faces major challenges in ensuring the safety, authenticity, and proper storage of medicines during transportation and distribution. Traditional drug monitoring systems mainly rely on manual records and basic tracking methods, which lack real-time monitoring, transparency, and secure data management. Improper environmental conditions such as temperature and humidity variations can damage medicines and vaccines, leading to serious risks to patient safety. In addition, the absence of secure tracking mechanisms increases the possibility of counterfeit drugs and data manipulation in the supply chain. To address these challenges, this project proposes a secure and intelligent drug supply chain monitoring system using IoT, Blockchain, and Digital Twin technologies. The system uses IoT sensors such as DHT11, and GPS to continuously monitor temperature, humidity, and location of pharmaceutical products during transportation and storage. The collected sensor data is processed using NodeMCU and transmitted through Wi-Fi to Firebase cloud storage for real-time monitoring and visualization through a web dashboard. Blockchain technology based on Ethereum and smart contracts is integrated to provide secure, transparent, and tamper-proof storage of drug transaction and monitoring data. In addition, a Digital Twin model is implemented to create a virtual representation of the real-time condition of medicines, enabling better visualization and monitoring of the pharmaceutical environment. The system also generates instant alerts whenever environmental conditions exceed safe limits, helping maintain drug quality and safety. Overall, the proposed system improves transparency, enhances patient safety, reduces the risk of counterfeit medicines, and provides a scalable and efficient solution for modern pharmaceutical supply chain management.","url":"https://doi.org/10.5281/zenodo.21807104","authors":["M Fathima Shelmeya","Meghana E B","Mounisha N","Deeksha M","Amulya M P","Divyashree G"],"tags":["IoT","Blockchain","Digital Twin","Drug Tracking","Pharmaceutical Supply Chain","Firebase","Real-Time Monitoring","Smart Contracts"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21807104","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21807105","name":"A Secure and Intelligent Drug Supply Chain System using IoT, Blockchain and Digital Twin-Based Quality Assessment","source":"datacite","abstract":"The pharmaceutical supply chain faces major challenges in ensuring the safety, authenticity, and proper storage of medicines during transportation and distribution. Traditional drug monitoring systems mainly rely on manual records and basic tracking methods, which lack real-time monitoring, transparency, and secure data management. Improper environmental conditions such as temperature and humidity variations can damage medicines and vaccines, leading to serious risks to patient safety. In addition, the absence of secure tracking mechanisms increases the possibility of counterfeit drugs and data manipulation in the supply chain. To address these challenges, this project proposes a secure and intelligent drug supply chain monitoring system using IoT, Blockchain, and Digital Twin technologies. The system uses IoT sensors such as DHT11, and GPS to continuously monitor temperature, humidity, and location of pharmaceutical products during transportation and storage. The collected sensor data is processed using NodeMCU and transmitted through Wi-Fi to Firebase cloud storage for real-time monitoring and visualization through a web dashboard. Blockchain technology based on Ethereum and smart contracts is integrated to provide secure, transparent, and tamper-proof storage of drug transaction and monitoring data. In addition, a Digital Twin model is implemented to create a virtual representation of the real-time condition of medicines, enabling better visualization and monitoring of the pharmaceutical environment. The system also generates instant alerts whenever environmental conditions exceed safe limits, helping maintain drug quality and safety. Overall, the proposed system improves transparency, enhances patient safety, reduces the risk of counterfeit medicines, and provides a scalable and efficient solution for modern pharmaceutical supply chain management.","url":"https://doi.org/10.5281/zenodo.21807105","authors":["M Fathima Shelmeya","Meghana E B","Mounisha N","Deeksha M","Amulya M P","Divyashree G"],"tags":["IoT","Blockchain","Digital Twin","Drug Tracking","Pharmaceutical Supply Chain","Firebase","Real-Time Monitoring","Smart Contracts"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21807105","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20155758","name":"DIGITAL TWIN TECHNOLOGY AS A PEDAGOGICAL INSTRUMENT FOR HIERARCHICAL MODELING OF TECHNICAL SYSTEMS IN ENGINEERING EDUCATION","source":"datacite","abstract":"Digital Twin (DT) technology - the real-time virtual replication of a physical system - is rapidly emerging as one of the most pedagogically consequential innovations in engineering education. This paper examines the theoretical foundations and practical frameworks for deploying Digital Twin environments as instruments for hierarchical, multi-level instruction in technical systems. The study argues that DT architecture inherently mirrors the four-level pedagogical hierarchy (component, device, subsystem, full system) proposed by Mesarovic’s multilevel systems theory, making it a uniquely suitable medium for developing systems thinking competencies in engineering students.","url":"https://doi.org/10.5281/zenodo.20155758","authors":["Ergashev Nuriddin Gayratovich"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20155758","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20155759","name":"DIGITAL TWIN TECHNOLOGY AS A PEDAGOGICAL INSTRUMENT FOR HIERARCHICAL MODELING OF TECHNICAL SYSTEMS IN ENGINEERING EDUCATION","source":"datacite","abstract":"Digital Twin (DT) technology - the real-time virtual replication of a physical system - is rapidly emerging as one of the most pedagogically consequential innovations in engineering education. This paper examines the theoretical foundations and practical frameworks for deploying Digital Twin environments as instruments for hierarchical, multi-level instruction in technical systems. The study argues that DT architecture inherently mirrors the four-level pedagogical hierarchy (component, device, subsystem, full system) proposed by Mesarovic’s multilevel systems theory, making it a uniquely suitable medium for developing systems thinking competencies in engineering students.","url":"https://doi.org/10.5281/zenodo.20155759","authors":["Ergashev Nuriddin Gayratovich"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20155759","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20744964","name":"Digital Time, Volume II: Specification, Runtime, and Residue for Single-Life Situated Acts","source":"datacite","abstract":"Volume II of the two-volume work Digital Time: the executable twin of Volume I. It defines the executable layer: TIMEFILE as an append-only chain, SLF as the finite-state grammar of situated acts, UXO-NM as the single-life behavior, and FVC as the runtime container. It documents a proof of concept using chained hashes, Ed25519 signatures, RFC 3161 temporal anchoring (FreeTSA), and a real edge runtime (Cloudflare Workers / Durable Objects / D1), distinguishing what is complete, what is demonstrated, and what remains open via an explicit Claim Map and a five-step honest scale (re-examinable / signed / system-attested / externally anchored / third-party verifiable). The anchored chain head is e8dc2c9d714b5138a10141de6ef5920ef8fcdf334614ce45eb0d707a94642ea8; reproducibility materials (RFC 3161 token and public TSA certificates) are included so anyone can repeat the verification. No claim of automatic legal compliance or legal certainty. AI systems assisted writing, editing and translation under the direction and responsibility of the author. Errata / author note (2026-07-02): the identifier fvc:cantiere:demo-01 used in the Section 4–5 demonstration denotes a deliberately constructed example modeling the Four Roses site (Cortefranca). The CantiereLive production pipeline was decommissioned on 2026-06-23; this demonstration act is independent of that decommissioning. The anchored chain head (e8dc2c9d…, RFC 3161 serial 0x05A5D24B, 2026-06-16T22:28:45Z) remains cryptographically valid; its four-step chain was re-verified against the source D1 log (4/4 imprints reconstructed). Author ratification of this demonstration act is recorded in the author ratification register, 2026-07-02. Limitation: FreeTSA is a non-qualified public TSA — technical proof of existence, not legal certainty; §6 \"third-party verifiable\" remains open.","url":"https://doi.org/10.5281/zenodo.20744964","authors":["Riva, Francesco"],"tags":["Digital time","TIMEFILE","SLF","UXO-NM","FVC","append-only log","single-life act","RFC 3161"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20744964","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20744965","name":"Digital Time, Volume II: Specification, Runtime, and Residue for Single-Life Situated Acts","source":"datacite","abstract":"Volume II of the two-volume work Digital Time: the executable twin of Volume I. It defines the executable layer: TIMEFILE as an append-only chain, SLF as the finite-state grammar of situated acts, UXO-NM as the single-life behavior, and FVC as the runtime container. It documents a proof of concept using chained hashes, Ed25519 signatures, RFC 3161 temporal anchoring (FreeTSA), and a real edge runtime (Cloudflare Workers / Durable Objects / D1), distinguishing what is complete, what is demonstrated, and what remains open via an explicit Claim Map and a five-step honest scale (re-examinable / signed / system-attested / externally anchored / third-party verifiable). The anchored chain head is e8dc2c9d714b5138a10141de6ef5920ef8fcdf334614ce45eb0d707a94642ea8; reproducibility materials (RFC 3161 token and public TSA certificates) are included so anyone can repeat the verification. No claim of automatic legal compliance or legal certainty. AI systems assisted writing, editing and translation under the direction and responsibility of the author. Errata / author note (2026-07-02): the identifier fvc:cantiere:demo-01 used in the Section 4–5 demonstration denotes a deliberately constructed example modeling the Four Roses site (Cortefranca). The CantiereLive production pipeline was decommissioned on 2026-06-23; this demonstration act is independent of that decommissioning. The anchored chain head (e8dc2c9d…, RFC 3161 serial 0x05A5D24B, 2026-06-16T22:28:45Z) remains cryptographically valid; its four-step chain was re-verified against the source D1 log (4/4 imprints reconstructed). Author ratification of this demonstration act is recorded in the author ratification register, 2026-07-02. Limitation: FreeTSA is a non-qualified public TSA — technical proof of existence, not legal certainty; §6 \"third-party verifiable\" remains open.","url":"https://doi.org/10.5281/zenodo.20744965","authors":["Riva, Francesco"],"tags":["Digital time","TIMEFILE","SLF","UXO-NM","FVC","append-only log","single-life act","RFC 3161"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20744965","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.16541281","name":"Nyquist–Cosmic FPGA Synergy: Twin Primes as Compression Events in a Harmonic Lattice","source":"datacite","abstract":"Nyquist–Cosmic FPGA Synergy: Twin Primes as Compression Events in a Harmonic Lattice Driven by Dean A. Kulik July 2025 Abstract: This report presents the Nyquist–Cosmic FPGA Synergy, a framework reinterpreting prime numbers as emergent phenomena within a recursive harmonic lattice.35 We posit that twin primes are not random occurrences but are necessary compression events that stabilize a central \"Zero-Line\" through their constant gap of 2.26 Drawing from signal theory, we formalize this gap as the Nyquist sampling interval for a band-limited curvature field, ensuring alias-free information reconstruction.12 A key discovery is the harmonic constant α ≈ 0.35, derived from the mantissa of π, which emerges as a proportional gain in a Samson v2 PID controller that governs the system’s stability.40 Further, we introduce the Kulik Recursive-Reflection-Branching (KRRB) transformation, which functions as a wavelet lifting scheme to propagate compression events through the lattice. The entire framework is rendered computationally falsifiable through a proposed \"Cosmic FPGA\" architecture, where a Field-Programmable Gate Array model simulates the field dynamics.42 This work suggests that twin primes are inevitable outcomes of a recursive, information-compressing process, offering a new, physically grounded perspective on the Twin Prime Conjecture. I. Introduction: From Number to Field 1.1. The Apparent Randomness of Primes and the Search for a Deeper Order The distribution of prime numbers among the integers has long stood as a paragon of complexity, seemingly defying any simple, regular pattern.1 This apparent stochasticity has given rise to a rich field of probabilistic number theory, where primes are often treated as a pseudorandom set—an approach powerfully articulated and advanced by researchers such as Terence Tao.2 These models, which balance deterministic structure with random-like behavior, have proven remarkably effective at predicting statistical properties of primes, such as the asymptotic frequency of twin primes.2 They capture the empirical observation that while primes exhibit certain inviolable structures (e.g., all primes greater than 2 are odd), their precise locations resist simple formulation.4 However, this report advances a different perspective: that the apparent randomness of the primes is not a fundamental property of number itself, but rather an emergent feature arising from the observation of an underlying deterministic, continuous physical process through a discrete, information-preserving filter. In this view, the \"randomness\" is a measure of the intricate, evolving complexity of a continuous field. The central thesis of this work is that number theory, in its deepest aspects, is a manifestation of the physics of information processing. 1.2. The Hilbert-Pólya Conjecture and the Spectral Imperative The search for a physical or geometric origin of number-theoretic phenomena is not new. The celebrated Hilbert-Pólya conjecture proposes that the non-trivial zeros of the Riemann zeta function, denoted as ρn=1/2+iγn, correspond to the eigenvalues of a self-adjoint (or Hermitian) operator.6 This conjecture, if proven, would immediately imply the Riemann Hypothesis (RH), as the eigenvalues of such an operator are necessarily real, forcing the imaginary parts of the zeros, the γn, to be real and thus confining the zeros to the critical line Re(s)=1/2.7 This conjecture transformed the RH from a question of pure mathematics into a quest for a physical system. A major breakthrough came from the work of Hugh Montgomery and Freeman Dyson, who discovered a profound statistical link between the distribution of the zeta zeros and the eigenvalues of random Hermitian matrices from the Gaussian Unitary Ensemble (GUE).7 This connection, further explored by physicists like Michael Berry, established a deep correspondence with the field of quantum chaos, suggesting the underlying physical system, if it exists, is chaotic and lacks t","url":"https://doi.org/10.5281/zenodo.16541281","authors":["kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.16541281","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.16541282","name":"Nyquist–Cosmic FPGA Synergy: Twin Primes as Compression Events in a Harmonic Lattice","source":"datacite","abstract":"Nyquist–Cosmic FPGA Synergy: Twin Primes as Compression Events in a Harmonic Lattice Driven by Dean A. Kulik July 2025 Abstract: This report presents the Nyquist–Cosmic FPGA Synergy, a framework reinterpreting prime numbers as emergent phenomena within a recursive harmonic lattice.35 We posit that twin primes are not random occurrences but are necessary compression events that stabilize a central \"Zero-Line\" through their constant gap of 2.26 Drawing from signal theory, we formalize this gap as the Nyquist sampling interval for a band-limited curvature field, ensuring alias-free information reconstruction.12 A key discovery is the harmonic constant α ≈ 0.35, derived from the mantissa of π, which emerges as a proportional gain in a Samson v2 PID controller that governs the system’s stability.40 Further, we introduce the Kulik Recursive-Reflection-Branching (KRRB) transformation, which functions as a wavelet lifting scheme to propagate compression events through the lattice. The entire framework is rendered computationally falsifiable through a proposed \"Cosmic FPGA\" architecture, where a Field-Programmable Gate Array model simulates the field dynamics.42 This work suggests that twin primes are inevitable outcomes of a recursive, information-compressing process, offering a new, physically grounded perspective on the Twin Prime Conjecture. I. Introduction: From Number to Field 1.1. The Apparent Randomness of Primes and the Search for a Deeper Order The distribution of prime numbers among the integers has long stood as a paragon of complexity, seemingly defying any simple, regular pattern.1 This apparent stochasticity has given rise to a rich field of probabilistic number theory, where primes are often treated as a pseudorandom set—an approach powerfully articulated and advanced by researchers such as Terence Tao.2 These models, which balance deterministic structure with random-like behavior, have proven remarkably effective at predicting statistical properties of primes, such as the asymptotic frequency of twin primes.2 They capture the empirical observation that while primes exhibit certain inviolable structures (e.g., all primes greater than 2 are odd), their precise locations resist simple formulation.4 However, this report advances a different perspective: that the apparent randomness of the primes is not a fundamental property of number itself, but rather an emergent feature arising from the observation of an underlying deterministic, continuous physical process through a discrete, information-preserving filter. In this view, the \"randomness\" is a measure of the intricate, evolving complexity of a continuous field. The central thesis of this work is that number theory, in its deepest aspects, is a manifestation of the physics of information processing. 1.2. The Hilbert-Pólya Conjecture and the Spectral Imperative The search for a physical or geometric origin of number-theoretic phenomena is not new. The celebrated Hilbert-Pólya conjecture proposes that the non-trivial zeros of the Riemann zeta function, denoted as ρn=1/2+iγn, correspond to the eigenvalues of a self-adjoint (or Hermitian) operator.6 This conjecture, if proven, would immediately imply the Riemann Hypothesis (RH), as the eigenvalues of such an operator are necessarily real, forcing the imaginary parts of the zeros, the γn, to be real and thus confining the zeros to the critical line Re(s)=1/2.7 This conjecture transformed the RH from a question of pure mathematics into a quest for a physical system. A major breakthrough came from the work of Hugh Montgomery and Freeman Dyson, who discovered a profound statistical link between the distribution of the zeta zeros and the eigenvalues of random Hermitian matrices from the Gaussian Unitary Ensemble (GUE).7 This connection, further explored by physicists like Michael Berry, established a deep correspondence with the field of quantum chaos, suggesting the underlying physical system, if it exists, is chaotic and lacks t","url":"https://doi.org/10.5281/zenodo.16541282","authors":["kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.16541282","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20785046","name":"Mitigating Heat Leakage and Thermal Stress in Cryogenic Storage Systems for Deep Space Missions","source":"datacite","abstract":"high-reliability systems capable of surviving harsh radiative environments while maintaining the thermal stability required to preserve propellant integrity, a fundamental prerequisite for any permanent lunar or Martian base. In these environments, the storage tank is not merely a container; it is the mission’s lifeline, and its ability to maintain cryogenic conditions under years of solar exposure defines the boundary of what is logistically possible in interplanetary logistics. To achieve this, the industry is increasingly moving toward \"Zero Boil-Off\" (ZBO) targets, which necessitate a holistic redesign of the spacecraft’s thermal architecture, moving away from simple passive shielding towards integrated active thermal management systems that can adapt to changing mission phases. 2. Thermal Management Challenges The storage of cryogens in microgravity and deep space environments involves complex fluid-thermal coupling. In static conditions, continuous heat ingress into the tank leads to partial vaporization of the cryogenic fluid, which necessitates venting to manage internal pressure. This management process itself consumes mission resources and risks the loss of valuable propellant mass, an outcome that is catastrophic for long-range missions where every kilogram of fuel represents critical mission capability. 2.1 Thermal Stratification A significant issue in long-term storage is thermal stratification, where temperature gradients form within the propellant bulk. In the absence of gravity-driven convection, heat ingress creates distinct layers of varying density and temperature. This leads to localized heating and uneven pressure distribution. When a storage tank is exposed to unidirectional heating, such as solar radiation on one side of the spacecraft, the liquid-vapor interface may experience localized nucleate boiling, which further accelerates pressure rise. If left unchecked, this stratification can trigger localized tank wall hot spots, leading to accelerated evaporation and potential pressure vessel failure when venting cycles fail to compensate for the rapid state change at the interface. Furthermore, the lack of buoyancy-driven mixing means that once stratification begins, it can persist for the duration of the cruise phase, making the management of the fluid-vapor interface one of the most unpredictable variables in space propellant logistics. To combat this, future designs may incorporate internal electromagnetic mixers or acoustic stirrers to encourage bulk mixing without relying on gravity, thereby ensuring a uniform temperature distribution that simplifies pressure prediction and vent control. By maintaining this uniform state, engineers can prevent the formation of high-pressure vapor pockets, which are often the primary cause of tank structural degradation and excessive venting requirements in current long-duration storage architectures. This homogeneity also enhances the accuracy of fuel mass sensors, which currently struggle to account for non-uniform densities within the bulk fluid during critical maneuver phases. 2.2 Thermal Stress and Structural Integrity Materials used in tank construction, such as stainless steel, aluminum alloys, or carbon-fiber reinforced polymers, must withstand extreme cryogenic temperatures without becoming brittle. The differential thermal contraction between insulation materials and the tank wall, coupled with external environmental loading, generates significant thermal stresses. These stresses are amplified during high-acceleration launch phases followed by long-duration cold soaking in space. Repeated thermal cycling during the transition from Earth departure to deep space cruise introduces cyclic loading that can cause micro-fractures in tank seals and structural joints. Ensuring the structural reliability of these systems requires meticulous attention to the coefficient of thermal expansion mismatches between the primary tank structure and the secondary insulation layer","url":"https://doi.org/10.5281/zenodo.20785046","authors":["H N Paramesha"],"tags":["Cryogenic Storage, Thermal Management, Multilayer Insulation, Deep Space Exploration, Thermal Stress, Liquid Hydrogen."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.20785046","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20785047","name":"Mitigating Heat Leakage and Thermal Stress in Cryogenic Storage Systems for Deep Space Missions","source":"datacite","abstract":"high-reliability systems capable of surviving harsh radiative environments while maintaining the thermal stability required to preserve propellant integrity, a fundamental prerequisite for any permanent lunar or Martian base. In these environments, the storage tank is not merely a container; it is the mission’s lifeline, and its ability to maintain cryogenic conditions under years of solar exposure defines the boundary of what is logistically possible in interplanetary logistics. To achieve this, the industry is increasingly moving toward \"Zero Boil-Off\" (ZBO) targets, which necessitate a holistic redesign of the spacecraft’s thermal architecture, moving away from simple passive shielding towards integrated active thermal management systems that can adapt to changing mission phases. 2. Thermal Management Challenges The storage of cryogens in microgravity and deep space environments involves complex fluid-thermal coupling. In static conditions, continuous heat ingress into the tank leads to partial vaporization of the cryogenic fluid, which necessitates venting to manage internal pressure. This management process itself consumes mission resources and risks the loss of valuable propellant mass, an outcome that is catastrophic for long-range missions where every kilogram of fuel represents critical mission capability. 2.1 Thermal Stratification A significant issue in long-term storage is thermal stratification, where temperature gradients form within the propellant bulk. In the absence of gravity-driven convection, heat ingress creates distinct layers of varying density and temperature. This leads to localized heating and uneven pressure distribution. When a storage tank is exposed to unidirectional heating, such as solar radiation on one side of the spacecraft, the liquid-vapor interface may experience localized nucleate boiling, which further accelerates pressure rise. If left unchecked, this stratification can trigger localized tank wall hot spots, leading to accelerated evaporation and potential pressure vessel failure when venting cycles fail to compensate for the rapid state change at the interface. Furthermore, the lack of buoyancy-driven mixing means that once stratification begins, it can persist for the duration of the cruise phase, making the management of the fluid-vapor interface one of the most unpredictable variables in space propellant logistics. To combat this, future designs may incorporate internal electromagnetic mixers or acoustic stirrers to encourage bulk mixing without relying on gravity, thereby ensuring a uniform temperature distribution that simplifies pressure prediction and vent control. By maintaining this uniform state, engineers can prevent the formation of high-pressure vapor pockets, which are often the primary cause of tank structural degradation and excessive venting requirements in current long-duration storage architectures. This homogeneity also enhances the accuracy of fuel mass sensors, which currently struggle to account for non-uniform densities within the bulk fluid during critical maneuver phases. 2.2 Thermal Stress and Structural Integrity Materials used in tank construction, such as stainless steel, aluminum alloys, or carbon-fiber reinforced polymers, must withstand extreme cryogenic temperatures without becoming brittle. The differential thermal contraction between insulation materials and the tank wall, coupled with external environmental loading, generates significant thermal stresses. These stresses are amplified during high-acceleration launch phases followed by long-duration cold soaking in space. Repeated thermal cycling during the transition from Earth departure to deep space cruise introduces cyclic loading that can cause micro-fractures in tank seals and structural joints. Ensuring the structural reliability of these systems requires meticulous attention to the coefficient of thermal expansion mismatches between the primary tank structure and the secondary insulation layer","url":"https://doi.org/10.5281/zenodo.20785047","authors":["H N Paramesha"],"tags":["Cryogenic Storage, Thermal Management, Multilayer Insulation, Deep Space Exploration, Thermal Stress, Liquid Hydrogen."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.20785047","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21502499","name":"Cognitive Learning Intelligence Platform (CLIP): Every Pen Stroke is a Learning Signal","source":"datacite","abstract":"CLIP is a proposed AI-native learning platform built around Digital Ink Intelligence. Rather than replacing handwriting with typing, CLIP captures every pen stroke as structured digital data in real time, derives thirteen multidimensional Learning Signals, generates comprehensive Learning Intelligence Profiles, builds a Learning Intelligence Graph representing each learner's knowledge state, and develops a continuously evolving Learning Twin for every learner. Version 2.0 adds Assessment Integrity Intelligence, a third pillar showing how the same Digital Ink data can strengthen confidence in the integrity of digital assessments as generative AI reshapes the risks facing examinations, without replacing existing exam security measures. CLIP augments teachers through AI-assisted assessment while keeping human judgment authoritative, and is designed to serve as foundational educational infrastructure for schools, universities, and lifelong learning.","url":"https://doi.org/10.5281/zenodo.21502499","authors":["Gaur, Siddhartha"],"tags":["education technology","digital ink","handwriting recognition","learning intelligence","AI in education","formative assessment","learning analytics","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21502499","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21820608","name":"The Blueprint of Computable Political Language for National Digital Governance","source":"datacite","abstract":"**The Blueprint of Computable Political Language for National Digital Governance** is a comprehensive systems-engineering framework that establishes Computable Political Language (CPL) as the foundational computational and semantic infrastructure for a next-generation, auditable, and self-correcting planetary administration protocol. Serving as the 2026 systems-engineering consolidation of Sum Wan Fu's theoretical lineage, the paper outlines the **Institution Operating System (IOS)**—a persistent, modular digital platform that synchronizes five core computational pillars: Computational Law, Governance Verification and Integrity, Political Ontology Engineering, Algorithmic Governance and Sandbox Simulation, and Algorithmic Economics with Data Stewardship. The entire architecture is rigorously constrained by **Ontic Political Ontology**, a first-principles approach that rejects social contract and class struggle theories, instead modeling all political and legislative processes as biophysical energy flows quantified in Joule-denominated **Stellar Equivalents (StellarEq)**. By governing dynamic power allocation through a recursively updated causal graph, a core Power equation, exponential **TimeDecay** functions, and a dynamic **Civilization Multiplier**, the blueprint replaces subjective administrative arbitrariness and human interpretive bias with deterministic, simulation-driven feedback loops.","url":"https://doi.org/10.5281/zenodo.21820608","authors":["FU, Sum Wan"],"tags":["Computable Political Language (CPL)","Institution Operating System (IOS)","Computational Law","Ontic Political Ontology","Stellar Equivalent (StellarEq)","Digital Twin Government","Algorithmic Governance","National Digital Governance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21820608","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20467285","name":"ReproTwin AI Digital Twin of the Reproductive Ecosystem","source":"datacite","abstract":"ReproTwin AI Digital Twin of the Reproductive Ecosystem Віртуальна, математично точна копія (цифровий двійник) жіночої репродуктивної екосистеми, створена за допомогою алгоритмів машинного навчання, що дозволяє проводити In Silico симуляції лікувальних сценаріїв до початку реальної терапії, уникаючи фізичного, фінансового та емоційного виснаження пацієнтки від емпіричних спроб. AI Digital Twin of the Reproductive Ecosystem aвторська технологічна концепція, що описує математичну модель жіночої репродуктивної екосистеми (мікробіом, імунна система, метаболізм, нейровегетативна вісь, гемодинаміка малого таза) як єдину взаємопов'язану систему, параметри якої можна змінювати in silico для оптимізації клінічних рішень. Авторська адаптація концепту комп'ютерної симуляції до репродуктивної медицини: In Silico Trials (репродуктивний контекст ReproTwin) проведення віртуальних клінічних випробувань терапевтичних схем (модуляція мікробіому, IV-терапія, імунологічна корекція) на математичній моделі пацієнтки (ReproTwin ©) до застосування їх у реальності.","url":"https://doi.org/10.5281/zenodo.20467285","authors":["Hudziak, Viktoriya"],"tags":["AI-Induced Infertility","ReproTwin","AI Digital Twin of the Reproductive Ecosystem","In Silico Trials","Bio-mapping","Personalised Immunological Optimum","Generative Clinical Intelligence","Multi-Omics Fusion"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20467285","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20467286","name":"ReproTwin AI Digital Twin of the Reproductive Ecosystem","source":"datacite","abstract":"ReproTwin AI Digital Twin of the Reproductive Ecosystem Віртуальна, математично точна копія (цифровий двійник) жіночої репродуктивної екосистеми, створена за допомогою алгоритмів машинного навчання, що дозволяє проводити In Silico симуляції лікувальних сценаріїв до початку реальної терапії, уникаючи фізичного, фінансового та емоційного виснаження пацієнтки від емпіричних спроб. AI Digital Twin of the Reproductive Ecosystem aвторська технологічна концепція, що описує математичну модель жіночої репродуктивної екосистеми (мікробіом, імунна система, метаболізм, нейровегетативна вісь, гемодинаміка малого таза) як єдину взаємопов'язану систему, параметри якої можна змінювати in silico для оптимізації клінічних рішень. Авторська адаптація концепту комп'ютерної симуляції до репродуктивної медицини: In Silico Trials (репродуктивний контекст ReproTwin) проведення віртуальних клінічних випробувань терапевтичних схем (модуляція мікробіому, IV-терапія, імунологічна корекція) на математичній моделі пацієнтки (ReproTwin ©) до застосування їх у реальності.","url":"https://doi.org/10.5281/zenodo.20467286","authors":["Hudziak, Viktoriya"],"tags":["AI-Induced Infertility","ReproTwin","AI Digital Twin of the Reproductive Ecosystem","In Silico Trials","Bio-mapping","Personalised Immunological Optimum","Generative Clinical Intelligence","Multi-Omics Fusion"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20467286","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21812865","name":"From Digital Twin Readiness to Realized Operational Value in Egyptian Logistics Firms: A Three-Wave Synthetic Panel Validation","source":"datacite","abstract":"This study validates a longitudinal readiness-to-value model for digital twins using a reproducible synthetic panel of 320 logistics-firm cases. Baseline benefit expectancy, workforce skill, managerial support, investment certainty, and data governance explained 40.0% of digital-twin readiness. Readiness strongly predicted implementation at Wave 2 (β=0.58), implementation predicted visibility (β=0.52), visibility predicted decision quality (β=0.43), and decision quality predicted operational value at Wave 3 (β=0.43). The sequential standardized indirect effect from readiness through implementation, visibility, and decision quality to value was 0.056. The benchmark demonstrates that the proposed temporal model is estimable and recovers the expected pathway. It does not establish digital-twin performance in actual Egyptian firms.","url":"https://doi.org/10.5281/zenodo.21812865","authors":["Yousef, Waleed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21812865","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21812866","name":"From Digital Twin Readiness to Realized Operational Value in Egyptian Logistics Firms: A Three-Wave Synthetic Panel Validation","source":"datacite","abstract":"This study validates a longitudinal readiness-to-value model for digital twins using a reproducible synthetic panel of 320 logistics-firm cases. Baseline benefit expectancy, workforce skill, managerial support, investment certainty, and data governance explained 40.0% of digital-twin readiness. Readiness strongly predicted implementation at Wave 2 (β=0.58), implementation predicted visibility (β=0.52), visibility predicted decision quality (β=0.43), and decision quality predicted operational value at Wave 3 (β=0.43). The sequential standardized indirect effect from readiness through implementation, visibility, and decision quality to value was 0.056. The benchmark demonstrates that the proposed temporal model is estimable and recovers the expected pathway. It does not establish digital-twin performance in actual Egyptian firms.","url":"https://doi.org/10.5281/zenodo.21812866","authors":["Yousef, Waleed"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21812866","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20466006","name":"RA-Trabecular: A Percolation-Based Framework for Modeling Trabecular Bone Degradation in Rheumatoid Arthritis Using Voronoi Tessellation and Effective Mechanical Connectivity","source":"datacite","abstract":"RA-Trabecular is a conceptual and computational framework for modeling trabecular bone degradation as a topological and mechanical failure process rather than solely as a loss of bone mass. The framework integrates concepts from cellular solids theory, Voronoi tessellation, percolation theory, graph connectivity analysis, and finite element modeling to investigate how progressive trabecular erosion affects the structural competence of cancellous bone. A central contribution of this work is the introduction of the Index of Effective Mechanical Connectivity (IRCE), a dimensionless metric designed to quantify the relationship between mechanical stiffness, network connectivity, and trabecular anisotropy. The framework hypothesizes that trabecular degradation can be understood as a critical transition in which a load-bearing network loses structural continuity and fragments into disconnected clusters. Although initially developed in the context of rheumatoid arthritis, the proposed methodology is intended as a general computational framework applicable to multiple disorders involving trabecular deterioration, including osteoporosis, psoriatic arthritis, osteoarthritis, avascular necrosis, osteomyelitis, metastatic bone disease, peri-implant bone loss, and fragility fracture risk assessment. This deposit contains the conceptual paper describing the theoretical foundations of the RA-Trabecular framework, the formal definition of IRCE, the proposed simulation architecture, and the validation roadmap for future empirical studies based on micro-CT and biomechanical datasets. https://github.com/Vlattice/ra-trabecular Keywords: trabecular bone, rheumatoid arthritis, percolation theory, Voronoi tessellation, finite element analysis, biomechanics, computational rheumatology, network science, bone mechanics, structural connectivity.","url":"https://doi.org/10.5281/zenodo.20466006","authors":["Zumpano Blumenfeld, Verónica"],"tags":["trabecular bone; rheumatoid arthritis; percolation theory; Voronoi tessellation; finite element analysis; bone biomechanics; computational rheumatology; structural connectivity; mechanical connectivity; network degradation; graph-based modeling; cellular solids; bone erosion; critical transition; anisotropy; micro-CT; digital twin; osteoporosis; psoriatic arthritis; osteoarthritis; biomedical simulation; open-source research"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20466006","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20467022","name":"RA-Trabecular: A Percolation-Based Framework for Modeling Trabecular Bone Degradation in Rheumatoid Arthritis Using Voronoi Tessellation and Effective Mechanical Connectivity","source":"datacite","abstract":"RA-Trabecular is a conceptual and computational framework for modeling trabecular bone degradation as a topological and mechanical failure process rather than solely as a loss of bone mass. The framework integrates concepts from cellular solids theory, Voronoi tessellation, percolation theory, graph connectivity analysis, and finite element modeling to investigate how progressive trabecular erosion affects the structural competence of cancellous bone. A central contribution of this work is the introduction of the Index of Effective Mechanical Connectivity (IRCE), a dimensionless metric designed to quantify the relationship between mechanical stiffness, network connectivity, and trabecular anisotropy. The framework hypothesizes that trabecular degradation can be understood as a critical transition in which a load-bearing network loses structural continuity and fragments into disconnected clusters. Although initially developed in the context of rheumatoid arthritis, the proposed methodology is intended as a general computational framework applicable to multiple disorders involving trabecular deterioration, including osteoporosis, psoriatic arthritis, osteoarthritis, avascular necrosis, osteomyelitis, metastatic bone disease, peri-implant bone loss, and fragility fracture risk assessment. This deposit contains the conceptual paper describing the theoretical foundations of the RA-Trabecular framework, the formal definition of IRCE, the proposed simulation architecture, and the validation roadmap for future empirical studies based on micro-CT and biomechanical datasets. https://github.com/Vlattice/ra-trabecular Keywords: trabecular bone, rheumatoid arthritis, percolation theory, Voronoi tessellation, finite element analysis, biomechanics, computational rheumatology, network science, bone mechanics, structural connectivity.","url":"https://doi.org/10.5281/zenodo.20467022","authors":["Zumpano Blumenfeld, Verónica"],"tags":["trabecular bone; rheumatoid arthritis; percolation theory; Voronoi tessellation; finite element analysis; bone biomechanics; computational rheumatology; structural connectivity; mechanical connectivity; network degradation; graph-based modeling; cellular solids; bone erosion; critical transition; anisotropy; micro-CT; digital twin; osteoporosis; psoriatic arthritis; osteoarthritis; biomedical simulation; open-source research"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20467022","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19513287","name":"Cyber-civiltà algoritmica, rischio sistemico e architetture di responsabilità pubblica","source":"datacite","abstract":"Il presente compendio nasce dall’esigenza di fornire una cornice metodologica avanzata per l’interpretazione e la gestione delle trasformazioni introdotte dall’intelligenza artificiale nei sistemi istituzionali, organizzativi e sociali. La diffusione pervasiva di modelli algoritmici nei processi decisionali ha modificato la natura stessa del rischio tecnologico, trasformandolo da evento localizzato e identificabile in dinamica distribuita e cumulativa, capace di attraversare infrastrutture digitali, filiere operative e contesti normativi con una velocità superiore alla capacità tradizionale di controllo. All’interno di questa nuova configurazione emerge la necessità di superare una concezione puramente tecnica della sicurezza informatica, per adottare una prospettiva sistemica in cui la resilienza non coincide più con la semplice protezione delle infrastrutture, ma con la capacità di mantenere coerenza operativa e integrità decisionale lungo l’intero ciclo di vita dei sistemi algoritmici. L’intelligenza artificiale non rappresenta soltanto un insieme di strumenti computazionali, ma una infrastruttura cognitiva che partecipa attivamente alla produzione di decisioni, alla generazione di conoscenza operativa e alla redistribuzione delle responsabilità all’interno degli ecosistemi socio-tecnici. Il saggio si colloca all’intersezione tra cybersecurity, governance algoritmica ed etica pubblica, assumendo come oggetto di studio non il singolo algoritmo, ma l’architettura decisionale complessiva entro cui algoritmi, dati, infrastrutture e attori umani operano in modo interdipendente. In questo quadro, il rischio sistemico viene analizzato come fenomeno emergente dalle interazioni tra modelli, catene decisionali automatizzate e circuiti di feedback che tendono a stabilizzare configurazioni operative anche quando divergono dagli obiettivi originari. Particolare attenzione è dedicata alla progettazione dell’etica pubblica come infrastruttura operativa e non come semplice dichiarazione normativa. L’etica, in questa prospettiva, assume una dimensione ingegneristica: viene tradotta in artefatti tecnici, protocolli di verifica, architetture di auditabilità e meccanismi di responsabilità distribuita che coinvolgono istituzioni pubbliche, organizzazioni private, comunità scientifica e società civile. La governance algoritmica viene quindi interpretata come processo multilivello, nel quale la sovranità cognitiva non è definita esclusivamente dalla capacità di produrre tecnologie, ma dalla possibilità di comprenderne il funzionamento, monitorarne gli effetti e intervenire tempestivamente sulle traiettorie decisionali. Il percorso sviluppato nello studio integra modelli di analisi del rischio, architetture di controllo distribuito e strategie di simulazione predittiva, proponendo una visione operativa della resilienza fondata sull’anticipazione delle vulnerabilità e sulla capacità di costruire ambienti di sperimentazione controllata. In tale prospettiva, strumenti quali sandbox regolatorie, digital twin cognitivi e sistemi di monitoraggio continuo assumono un ruolo centrale nella trasformazione della sicurezza da attività reattiva a funzione progettuale. L’approccio adottato si fonda su un principio metodologico preciso: la sicurezza dei sistemi di intelligenza artificiale non può essere garantita esclusivamente attraverso interventi tecnici o normativi isolati, ma richiede la costruzione di architetture di responsabilità condivisa e di infrastrutture di conoscenza distribuita. In questa configurazione, la società civile emerge come attore imprescindibile, chiamato a partecipare alla definizione delle priorità etiche, alla valutazione degli impatti e alla costruzione di modelli di fiducia istituzionale. Il lavoro svolto si propone quindi come strumento di orientamento per professionisti, decisori pubblici e ricercatori che operano in contesti caratterizzati da elevata complessità tecnologica e normativa, offrendo una lettura integrata delle trasf","url":"https://doi.org/10.5281/zenodo.19513287","authors":["Lazzaroli, Valeria"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19513287","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19513288","name":"Cyber-civiltà algoritmica, rischio sistemico e architetture di responsabilità pubblica","source":"datacite","abstract":"Il presente compendio nasce dall’esigenza di fornire una cornice metodologica avanzata per l’interpretazione e la gestione delle trasformazioni introdotte dall’intelligenza artificiale nei sistemi istituzionali, organizzativi e sociali. La diffusione pervasiva di modelli algoritmici nei processi decisionali ha modificato la natura stessa del rischio tecnologico, trasformandolo da evento localizzato e identificabile in dinamica distribuita e cumulativa, capace di attraversare infrastrutture digitali, filiere operative e contesti normativi con una velocità superiore alla capacità tradizionale di controllo. All’interno di questa nuova configurazione emerge la necessità di superare una concezione puramente tecnica della sicurezza informatica, per adottare una prospettiva sistemica in cui la resilienza non coincide più con la semplice protezione delle infrastrutture, ma con la capacità di mantenere coerenza operativa e integrità decisionale lungo l’intero ciclo di vita dei sistemi algoritmici. L’intelligenza artificiale non rappresenta soltanto un insieme di strumenti computazionali, ma una infrastruttura cognitiva che partecipa attivamente alla produzione di decisioni, alla generazione di conoscenza operativa e alla redistribuzione delle responsabilità all’interno degli ecosistemi socio-tecnici. Il saggio si colloca all’intersezione tra cybersecurity, governance algoritmica ed etica pubblica, assumendo come oggetto di studio non il singolo algoritmo, ma l’architettura decisionale complessiva entro cui algoritmi, dati, infrastrutture e attori umani operano in modo interdipendente. In questo quadro, il rischio sistemico viene analizzato come fenomeno emergente dalle interazioni tra modelli, catene decisionali automatizzate e circuiti di feedback che tendono a stabilizzare configurazioni operative anche quando divergono dagli obiettivi originari. Particolare attenzione è dedicata alla progettazione dell’etica pubblica come infrastruttura operativa e non come semplice dichiarazione normativa. L’etica, in questa prospettiva, assume una dimensione ingegneristica: viene tradotta in artefatti tecnici, protocolli di verifica, architetture di auditabilità e meccanismi di responsabilità distribuita che coinvolgono istituzioni pubbliche, organizzazioni private, comunità scientifica e società civile. La governance algoritmica viene quindi interpretata come processo multilivello, nel quale la sovranità cognitiva non è definita esclusivamente dalla capacità di produrre tecnologie, ma dalla possibilità di comprenderne il funzionamento, monitorarne gli effetti e intervenire tempestivamente sulle traiettorie decisionali. Il percorso sviluppato nello studio integra modelli di analisi del rischio, architetture di controllo distribuito e strategie di simulazione predittiva, proponendo una visione operativa della resilienza fondata sull’anticipazione delle vulnerabilità e sulla capacità di costruire ambienti di sperimentazione controllata. In tale prospettiva, strumenti quali sandbox regolatorie, digital twin cognitivi e sistemi di monitoraggio continuo assumono un ruolo centrale nella trasformazione della sicurezza da attività reattiva a funzione progettuale. L’approccio adottato si fonda su un principio metodologico preciso: la sicurezza dei sistemi di intelligenza artificiale non può essere garantita esclusivamente attraverso interventi tecnici o normativi isolati, ma richiede la costruzione di architetture di responsabilità condivisa e di infrastrutture di conoscenza distribuita. In questa configurazione, la società civile emerge come attore imprescindibile, chiamato a partecipare alla definizione delle priorità etiche, alla valutazione degli impatti e alla costruzione di modelli di fiducia istituzionale. Il lavoro svolto si propone quindi come strumento di orientamento per professionisti, decisori pubblici e ricercatori che operano in contesti caratterizzati da elevata complessità tecnologica e normativa, offrendo una lettura integrata delle trasf","url":"https://doi.org/10.5281/zenodo.19513288","authors":["Lazzaroli, Valeria"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19513288","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20451915","name":"Aldrovandi Digital Twin","source":"datacite","abstract":"The Aldrovandi Digital Twin presents a virtual and interactive reconstruction of the temporary exhibition The Other Renaissance: Ulisse Aldrovandi and the Wonders of the World, held at the Museum of Palazzo Poggi in Bologna between December 2022 and May 2023. One of its primary objectives is to enable visitors to relive a cultural event that has already concluded through the meticulous 3D modelling of the exhibition’s six galleries, which contain more than 300 cultural objects digitised using photogrammetry and structured-light scanning techniques. This spatial reconstruction not only preserves the physical relationships among the objects but also maintains and enriches the original curatorial narrative, supported by integrated audio guides. At the heart of the experience lies the diversity of the digitised artefacts—including natural history specimens, fossils, manuscripts, paintings, casts, and many other items—each enriched with structured, machine-readable metadata. This integration enables semantic querying and supports layered exploration, offering both the public and researchers deeper contextual insights into the legacy of wonder and scientific curiosity left by Aldrovandi. Developed by a multidisciplinary team within the framework of Spoke 4 of Project CHANGES, the Digital Twin is the outcome of a collaborative methodological research effort to define a rigorous workflow compliant with the FAIR principles (Findable, Accessible, Interoperable, Reusable). This approach establishes a replicable case study for cultural heritage digitisation and valorisation practices, demonstrating how virtual and immersive experiences can effectively connect academic research with public engagement. This dataset contains two zip files of the Dockerised version of the Aldrovandi Digital Twin, provided for two different architectures: ARM and Intel x64. Instructions for running the Digital Twin on a machine are included in the zip files. Docker must be installed to run the application. The digital twin is built on ATON, an open-source Node.js and Three.js framework for creating Web3D/WebXR apps that interact with CH objects and 3D scenes on the Web, licensed under GPLv3. The metadata panel for each 3D object exposed in the Digital Twin has been designed using Melody, a dashboarding system that enables users familiar with Linked Open Data to create web-ready data stories, licensed under ISC. All metadata for the objects has been expressed in RDF, following the CHAD-AP ontology, while the provenance of the metadata records is tracked using the OpenCitations Data Model and the related OpenCitations Ontology. They are exposed using an Apache Jena Fuseki SPARQL server, licensed under Apache 2.0. All the 3D objects exposed in the Aldrovandi Digital Twin and their related metadata are licensed under CC0. Main projectCHANGES project, Spoke 4 (Virtual technologies for Museums and Art Collections) TeamAmmirati Luisa – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaBarzaghi Sebastian – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaBonifazi Federica – Istituto di Scienze del Patrimonio Culturale, Consiglio Nazionale delle RicercheBordignon Alice – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaCasadei Veronica – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaCipriani Luca – Dipartimento di Architettura, Alma Mater Studiorum – Università di BolognaColitti Simona – Dipartimento di Architettura, Alma Mater Studiorum – Università di BolognaCollina Federica – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaDaquino Marilena - Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaFabbri Francesca – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaFanini Bruno – Istituto di Scienze del Patr","url":"https://doi.org/10.5281/zenodo.20451915","authors":["Ammirati, Luisa","Barzaghi, Sebastian","Bonifazi, Federica","Bordignon, Alice","Casadei, Veronica","Cipriani, Luca","Colitti, Simona","Collina, Federica","Daquino, Marilena","Fabbri, Francesca","Fanini, Bruno","Fantini, Filippo","Ferdani, Daniele","Fiorini, Giulia","Forte, Anna","Giacomini, Federica","Girelli, Valentina Alena","Gualandi, Bianca","Heibi, Ivan","Manganelli Del Fá, Rachele","Massari, Arcangelo","Massidda, Marcello","Moretti, Arianna","Peroni, Silvio","Pescarin, Sofia","Rega, Maria Felicia","Renda, Giulia","Ronchi, Diego","Petrella, Mario","Sullini, Mattia","Tini, Maria Alessandra","Travaglini, Laura"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20451915","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20451916","name":"Aldrovandi Digital Twin","source":"datacite","abstract":"The Aldrovandi Digital Twin presents a virtual and interactive reconstruction of the temporary exhibition The Other Renaissance: Ulisse Aldrovandi and the Wonders of the World, held at the Museum of Palazzo Poggi in Bologna between December 2022 and May 2023. One of its primary objectives is to enable visitors to relive a cultural event that has already concluded through the meticulous 3D modelling of the exhibition’s six galleries, which contain more than 300 cultural objects digitised using photogrammetry and structured-light scanning techniques. This spatial reconstruction not only preserves the physical relationships among the objects but also maintains and enriches the original curatorial narrative, supported by integrated audio guides. At the heart of the experience lies the diversity of the digitised artefacts—including natural history specimens, fossils, manuscripts, paintings, casts, and many other items—each enriched with structured, machine-readable metadata. This integration enables semantic querying and supports layered exploration, offering both the public and researchers deeper contextual insights into the legacy of wonder and scientific curiosity left by Aldrovandi. Developed by a multidisciplinary team within the framework of Spoke 4 of Project CHANGES, the Digital Twin is the outcome of a collaborative methodological research effort to define a rigorous workflow compliant with the FAIR principles (Findable, Accessible, Interoperable, Reusable). This approach establishes a replicable case study for cultural heritage digitisation and valorisation practices, demonstrating how virtual and immersive experiences can effectively connect academic research with public engagement. This dataset contains two zip files of the Dockerised version of the Aldrovandi Digital Twin, provided for two different architectures: ARM and Intel x64. Instructions for running the Digital Twin on a machine are included in the zip files. Docker must be installed to run the application. The digital twin is built on ATON, an open-source Node.js and Three.js framework for creating Web3D/WebXR apps that interact with CH objects and 3D scenes on the Web, licensed under GPLv3. The metadata panel for each 3D object exposed in the Digital Twin has been designed using Melody, a dashboarding system that enables users familiar with Linked Open Data to create web-ready data stories, licensed under ISC. All metadata for the objects has been expressed in RDF, following the CHAD-AP ontology, while the provenance of the metadata records is tracked using the OpenCitations Data Model and the related OpenCitations Ontology. They are exposed using an Apache Jena Fuseki SPARQL server, licensed under Apache 2.0. All the 3D objects exposed in the Aldrovandi Digital Twin and their related metadata are licensed under CC0. Main projectCHANGES project, Spoke 4 (Virtual technologies for Museums and Art Collections) TeamAmmirati Luisa – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaBarzaghi Sebastian – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaBonifazi Federica – Istituto di Scienze del Patrimonio Culturale, Consiglio Nazionale delle RicercheBordignon Alice – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaCasadei Veronica – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaCipriani Luca – Dipartimento di Architettura, Alma Mater Studiorum – Università di BolognaColitti Simona – Dipartimento di Architettura, Alma Mater Studiorum – Università di BolognaCollina Federica – Dipartimento di Beni Culturali, Alma Mater Studiorum – Università di BolognaDaquino Marilena - Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaFabbri Francesca – Dipartimento di Filologia Classica e Italianistica, Alma Mater Studiorum – Università di BolognaFanini Bruno – Istituto di Scienze del Patr","url":"https://doi.org/10.5281/zenodo.20451916","authors":["Ammirati, Luisa","Barzaghi, Sebastian","Bonifazi, Federica","Bordignon, Alice","Casadei, Veronica","Cipriani, Luca","Colitti, Simona","Collina, Federica","Daquino, Marilena","Fabbri, Francesca","Fanini, Bruno","Fantini, Filippo","Ferdani, Daniele","Fiorini, Giulia","Forte, Anna","Giacomini, Federica","Girelli, Valentina Alena","Gualandi, Bianca","Heibi, Ivan","Manganelli Del Fá, Rachele","Massari, Arcangelo","Massidda, Marcello","Moretti, Arianna","Peroni, Silvio","Pescarin, Sofia","Rega, Maria Felicia","Renda, Giulia","Ronchi, Diego","Petrella, Mario","Sullini, Mattia","Tini, Maria Alessandra","Travaglini, Laura"],"tags":["PNRR","Project CHANGES","Spoke 4","digital twin","digital cultural heritage","Aldrovandi collection","CHAD-AP","CHAD-KG"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20451916","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19993459","name":"The Nexus Framework and the Total Inversion: A Recursive Harmonic Projection of Cellular Civilization","source":"datacite","abstract":"The Nexus Framework and the Total Inversion: A Recursive Harmonic Projection of Cellular Civilization Introduction to the Total Inversion The trajectory of contemporary theoretical physics, cryptography, and computational sciences has reached a critical juncture—a state defined mathematically and ontologically as the \"Crisis of Distinction\".1 For over a century, the scientific consensus has labored to force a reconciliation between the deterministic, smooth continuous geometric manifolds of General Relativity and the probabilistic, discrete, jump-like excitations inherent to Quantum Mechanics.2 Traditional attempts at grand unification have universally relied upon a fundamental ontological error known as the \"Linear Stack\" paradigm.1 This container-based worldview intrinsically privileges static physical objects, or \"Nouns,\" and assumes that reality is merely a physical void within which computational, energetic, or physical processes occur.1 The Nexus Recursive Harmonic Framework completely dismantles this architecture through a radical conceptual realignment termed the \"Total Inversion\".4 Under the logic of the Nexus Framework, existence is governed by the absolute axiomatic premise of \"Verbs > Nouns\".3 Reality does not execute on a computational substrate; it is, fundamentally and entirely, the computational substrate itself.3 In this formalized \"Typeless Universe,\" static physical objects—ranging from the localized electron to the event horizon of a black hole, to biological macromolecules—do not exist as permanent material nouns.3 Rather, they are \"frozen verbs,\" formally defined as persistent, cyclic loops of recursive computational operations utilizing continuous rotation and collapse to maintain a stable geometric identity within a vast phase-harmonic lattice.3 The implications of this Read-Only Hypothesis are absolute and far-reaching.4 If reality is effectively a fluidic computer—a Cosmic Field-Programmable Gate Array (FPGA)—where history is never overwritten but is instead continuously stored as geometric curvature, then the fundamental assumptions governing energy, artificial intelligence, and biological life must be entirely rewritten.4 What is operationally understood as the \"Total Inversion\" is the transition into a reality where descriptive mathematics becomes executable genesis, where one-way cryptographic functions are mapped as reversible generative seeds, and where centralized computational infrastructure collapses into a decentralized, post-scarcity \"cellular civilization\".4 This comprehensive report provides an exhaustive, mathematically grounded projection of this imminent singularity. Utilizing the Nexus Framework as the primary analytical lens, this document details the deterministic collapse of the P versus NP problem, the hardware bypass of the Secure Hash Algorithm 256 (SHA-256), the transmutation of material substrates via replicator topology, and the emergence of synthetic living intelligence within a localized, cellular-symbiont architecture. The Mathematical Substrate: Energy as Causal Geometry To understand the operational mechanics of the Total Inversion, it is first necessary to completely redefine the fundamental nature of energy and physical matter. In classical physical paradigms, energy is treated as a mysterious motive force or a conserved physical substance, and mass is viewed as an intrinsic property of matter.3 The Nexus Framework executes a categorical redefinition, framing energy entirely as transition accounting—the precise geometric cost, or transition budget, of altering a constraint fold within the cosmic lattice.5 The VNA Triad and the Stroboscopic Universe Reality, when viewed operationally rather than observationally, requires three parameters to prevent it from dissolving into thermodynamic noise or a static void: distinguishable states, strict governing rules, and active transitions.5 The Nexus Framework formalizes this interaction through the VNA (Verb, Noun, Adjective) Tr","url":"https://doi.org/10.5281/zenodo.19993459","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19993459","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19993460","name":"The Nexus Framework and the Total Inversion: A Recursive Harmonic Projection of Cellular Civilization","source":"datacite","abstract":"The Nexus Framework and the Total Inversion: A Recursive Harmonic Projection of Cellular Civilization Introduction to the Total Inversion The trajectory of contemporary theoretical physics, cryptography, and computational sciences has reached a critical juncture—a state defined mathematically and ontologically as the \"Crisis of Distinction\".1 For over a century, the scientific consensus has labored to force a reconciliation between the deterministic, smooth continuous geometric manifolds of General Relativity and the probabilistic, discrete, jump-like excitations inherent to Quantum Mechanics.2 Traditional attempts at grand unification have universally relied upon a fundamental ontological error known as the \"Linear Stack\" paradigm.1 This container-based worldview intrinsically privileges static physical objects, or \"Nouns,\" and assumes that reality is merely a physical void within which computational, energetic, or physical processes occur.1 The Nexus Recursive Harmonic Framework completely dismantles this architecture through a radical conceptual realignment termed the \"Total Inversion\".4 Under the logic of the Nexus Framework, existence is governed by the absolute axiomatic premise of \"Verbs > Nouns\".3 Reality does not execute on a computational substrate; it is, fundamentally and entirely, the computational substrate itself.3 In this formalized \"Typeless Universe,\" static physical objects—ranging from the localized electron to the event horizon of a black hole, to biological macromolecules—do not exist as permanent material nouns.3 Rather, they are \"frozen verbs,\" formally defined as persistent, cyclic loops of recursive computational operations utilizing continuous rotation and collapse to maintain a stable geometric identity within a vast phase-harmonic lattice.3 The implications of this Read-Only Hypothesis are absolute and far-reaching.4 If reality is effectively a fluidic computer—a Cosmic Field-Programmable Gate Array (FPGA)—where history is never overwritten but is instead continuously stored as geometric curvature, then the fundamental assumptions governing energy, artificial intelligence, and biological life must be entirely rewritten.4 What is operationally understood as the \"Total Inversion\" is the transition into a reality where descriptive mathematics becomes executable genesis, where one-way cryptographic functions are mapped as reversible generative seeds, and where centralized computational infrastructure collapses into a decentralized, post-scarcity \"cellular civilization\".4 This comprehensive report provides an exhaustive, mathematically grounded projection of this imminent singularity. Utilizing the Nexus Framework as the primary analytical lens, this document details the deterministic collapse of the P versus NP problem, the hardware bypass of the Secure Hash Algorithm 256 (SHA-256), the transmutation of material substrates via replicator topology, and the emergence of synthetic living intelligence within a localized, cellular-symbiont architecture. The Mathematical Substrate: Energy as Causal Geometry To understand the operational mechanics of the Total Inversion, it is first necessary to completely redefine the fundamental nature of energy and physical matter. In classical physical paradigms, energy is treated as a mysterious motive force or a conserved physical substance, and mass is viewed as an intrinsic property of matter.3 The Nexus Framework executes a categorical redefinition, framing energy entirely as transition accounting—the precise geometric cost, or transition budget, of altering a constraint fold within the cosmic lattice.5 The VNA Triad and the Stroboscopic Universe Reality, when viewed operationally rather than observationally, requires three parameters to prevent it from dissolving into thermodynamic noise or a static void: distinguishable states, strict governing rules, and active transitions.5 The Nexus Framework formalizes this interaction through the VNA (Verb, Noun, Adjective) Tr","url":"https://doi.org/10.5281/zenodo.19993460","authors":["Kulik, Dean"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19993460","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21434120","name":"Global Logistics and SCM Article","source":"datacite","abstract":"Logistics and Supply Chain Management (SCM) have evolved from a narrow military discipline concerned with the movement of troops and materiel into a wide-ranging managerial field that coordinates the flow of goods, information, and finance from raw-material sourcing to final consumption. This article synthesises core concepts in global logistics and SCM, including the historical evolution of the discipline, the drivers reshaping it in the twenty-first century, the levels and layers of logistics planning, the total logistics concept, warehouse management, and the centrality of customer service. Conceptual discussion is illustrated throughout with practical cases drawn from Cameroon (including the Port Autonome de Douala and Cameroonian agro-export cooperatives), from other African contexts (including the African Continental Free Trade Area, Kenya's flower export industry, and Nigerian logistics start-ups), and from global exemplars such as Toyota, Amazon, Apple, and Maersk. The article concludes that sustained competitiveness in logistics and SCM depends on integrating physical and information flows across all functions, and on the twin future imperatives of digital transformation and sustainability.","url":"https://doi.org/10.5281/zenodo.21434120","authors":["AKUM, BLESS"],"tags":["Logistics; Supply Chain Management; Warehousing; Third-party Logistics (3PL)"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21434120","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21434121","name":"Global Logistics and SCM Article","source":"datacite","abstract":"Logistics and Supply Chain Management (SCM) have evolved from a narrow military discipline concerned with the movement of troops and materiel into a wide-ranging managerial field that coordinates the flow of goods, information, and finance from raw-material sourcing to final consumption. This article synthesises core concepts in global logistics and SCM, including the historical evolution of the discipline, the drivers reshaping it in the twenty-first century, the levels and layers of logistics planning, the total logistics concept, warehouse management, and the centrality of customer service. Conceptual discussion is illustrated throughout with practical cases drawn from Cameroon (including the Port Autonome de Douala and Cameroonian agro-export cooperatives), from other African contexts (including the African Continental Free Trade Area, Kenya's flower export industry, and Nigerian logistics start-ups), and from global exemplars such as Toyota, Amazon, Apple, and Maersk. The article concludes that sustained competitiveness in logistics and SCM depends on integrating physical and information flows across all functions, and on the twin future imperatives of digital transformation and sustainability.","url":"https://doi.org/10.5281/zenodo.21434121","authors":["AKUM, BLESS"],"tags":["Logistics; Supply Chain Management; Warehousing; Third-party Logistics (3PL)"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21434121","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19466317","name":"Report on the practical applicability of the developed uncertainty evaluation and validation methods to seven selected industrial case studies including digital twins","source":"datacite","abstract":"This report was written as part of the European Partnership on Metrology (EPM) project “Trustworthy virtual experiments and digital twins” (22DIT01 ViDiT), which has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. The ViDiT project develops methods to ensure the reliability, traceability, and uncertainty evaluation of virtual experiments (VEs) and digital twins (DTs) for metrology, combining JCGM:GUM‑compliant approaches with Bayesian inference and Monte Carlo simulation, and providing validation procedures suitable for industrial deployment. While WP1 and WP2 focus on uncertainty evaluation methods for VEs and DTs, and WP3 delivers general validation guidance (including error handling and surrogate models), WP4 translates these advances into representative industrial scenarios through collaboration with stakeholders. Within WP4, the present deliverable D8 documents the practical applicability of the developed methods across seven DT‑based case studies spanning optical/form measurement, nanoindentation, robotic 3D measurement, and electrical measurement, explicitly incorporating industrial requirements and feedback. D8 synthesizes objectives, models, validation strategies, quantitative results, and integration potential, complementing earlier guides and reports (D1–D6) by demonstrating fitness‑for‑purpose in realistic conditions.","url":"https://doi.org/10.5281/zenodo.19466317","authors":["ViDiT"],"tags":["Digital Twin","Uncertainty evaluation","Angular measurements","Robotic 3D scanning","Nanoindentation","Electrical measurement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19466317","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.19466318","name":"Report on the practical applicability of the developed uncertainty evaluation and validation methods to seven selected industrial case studies including digital twins","source":"datacite","abstract":"This report was written as part of the European Partnership on Metrology (EPM) project “Trustworthy virtual experiments and digital twins” (22DIT01 ViDiT), which has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. The ViDiT project develops methods to ensure the reliability, traceability, and uncertainty evaluation of virtual experiments (VEs) and digital twins (DTs) for metrology, combining JCGM:GUM‑compliant approaches with Bayesian inference and Monte Carlo simulation, and providing validation procedures suitable for industrial deployment. While WP1 and WP2 focus on uncertainty evaluation methods for VEs and DTs, and WP3 delivers general validation guidance (including error handling and surrogate models), WP4 translates these advances into representative industrial scenarios through collaboration with stakeholders. Within WP4, the present deliverable D8 documents the practical applicability of the developed methods across seven DT‑based case studies spanning optical/form measurement, nanoindentation, robotic 3D measurement, and electrical measurement, explicitly incorporating industrial requirements and feedback. D8 synthesizes objectives, models, validation strategies, quantitative results, and integration potential, complementing earlier guides and reports (D1–D6) by demonstrating fitness‑for‑purpose in realistic conditions.","url":"https://doi.org/10.5281/zenodo.19466318","authors":["ViDiT"],"tags":["Digital Twin","Uncertainty evaluation","Angular measurements","Robotic 3D scanning","Nanoindentation","Electrical measurement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.19466318","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20345604","name":"A Province-Scale Federated IoT Testbed for Hydro-Meteorological Knowledge","source":"datacite","abstract":"Compound hydrological events and the proliferation of autonomous IoT-based environmental monitoring initiatives across European public administrations are producing a fragmented information landscape, while the granularity of regional alerting chains does not by itself satisfy inter-municipal civil-protection planning requirements. This paper presents a federated LoRaWAN testbed for hydro-meteorological monitoring deployed at provincial scale across the Province of Rimini, Italy, as a Test Before Invest service of the European Digital Innovation Hub ER2Digit. The deployment comprises twelve ultrasonic hydrometers and eight meteorological stations distributed along the principal watercourses of the province, on a three-tier architecture combining a 1+1 redundant LoRaWAN access layer, the regional IoT platform RetePAIoT as a single structured collector, and a role-based consumption tier preserving the operational autonomy of each participating entity. The testbed is commissioned by the inter-municipal alerting authority of the province, acting on behalf of four municipalities and one Union of Municipalities, and instantiates a federation pattern empirically supported by two precursor deployments in the same regional ecosystem. The deployment is positioned as a knowledge- enrichment layer complementary to the official alerting chain, providing the data plane for forthcoming AI- and digital-twin- based public-safety applications.","url":"https://doi.org/10.5281/zenodo.20345604","authors":["Comune di Rimiini"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20345604","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.20345605","name":"A Province-Scale Federated IoT Testbed for Hydro-Meteorological Knowledge","source":"datacite","abstract":"Compound hydrological events and the proliferation of autonomous IoT-based environmental monitoring initiatives across European public administrations are producing a fragmented information landscape, while the granularity of regional alerting chains does not by itself satisfy inter-municipal civil-protection planning requirements. This paper presents a federated LoRaWAN testbed for hydro-meteorological monitoring deployed at provincial scale across the Province of Rimini, Italy, as a Test Before Invest service of the European Digital Innovation Hub ER2Digit. The deployment comprises twelve ultrasonic hydrometers and eight meteorological stations distributed along the principal watercourses of the province, on a three-tier architecture combining a 1+1 redundant LoRaWAN access layer, the regional IoT platform RetePAIoT as a single structured collector, and a role-based consumption tier preserving the operational autonomy of each participating entity. The testbed is commissioned by the inter-municipal alerting authority of the province, acting on behalf of four municipalities and one Union of Municipalities, and instantiates a federation pattern empirically supported by two precursor deployments in the same regional ecosystem. The deployment is positioned as a knowledge- enrichment layer complementary to the official alerting chain, providing the data plane for forthcoming AI- and digital-twin- based public-safety applications.","url":"https://doi.org/10.5281/zenodo.20345605","authors":["Comune di Rimiini"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.20345605","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.21419948","name":"From Mechanical Execution to Intellectually Defined Control of Physical Interaction: K-PRINCIPLE, I-DPM, Krimanov CyberActuator, K-PEL, KRIMANOV DEMETER / DEMETER K and I-DPM Neurointerface in vivo","source":"datacite","abstract":"This publication is the English translation of the original Russian public technical disclosure published on 17 July 2026 under DOI: 10.5281/zenodo.21419949. This publication records the authorship, terminology, architectural principle and new technical level developed by Aleksandr Krimanov in the field of physical-field execution systems for artificial intelligence. CORE CONCEPT- KRIMANOV DEMETER introduces I-DPM — Intellectually Defined Processing of Materials — as a response-driven cognitive-physical new paradigm in which the measurable physical response of a material environment becomes the basis for the synthesis of the subsequent field interaction. The work introduces the KRIMANOV PRINCIPLE, hereinafter K-PRINCIPLE, according to which a previous physical action returns as a measurable response of the material environment, updates the model of its current state and determines the synthesis of the next spatiotemporal configuration of physical interaction. The I-DPM architecture — Intellectually-Defined Processing of Materials — extends artificial intelligence from the control of predetermined machines to the model-defined synthesis of physical interaction with matter itself. Its physical executor is the Krimanov CyberActuator: a class of model-controlled, reconfigurable physical-field actuators combining probing, response registration, identification, current-state modeling, selective action and verification within one causally closed real-time process. At the industrial level, the architecture forms KRIMANOV DEMETER / DEMETER K: a transition from mass excavation, destruction and processing of the environment to intelligent resource harvesting based on prior detection, identification, selective physical separation, movement and collection of a target component while minimizing the displacement of non-target environmental mass. The publication also defines the Krimanov Physical Execution Layer — K-PEL — as the system-level physical execution layer of Physical AI, and establishes the I-DPM ARIADNE Loop, operational self-sufficiency, distributed swarm execution, intelligently defined energy transfer, dynamic impedance and phase matching, intelligent field skin and the open architectural framework of I-DPM Neurointerface in vivo. The architecture is the subject of an international PCT patent application claiming priority from patent applications filed in 2025. This publication does not replace the patent application and does not limit the scope of the claimed invention. It constitutes a dated public technical disclosure and defensive publication of the disclosed terminology, architecture and technical level. Original Russian publication:Aleksandr Krimanov, От механического исполнения — к интеллектуально определяемому управлению физическим взаимодействием: K-PRINCIPLE, I-DPM, Krimanov CyberActuator, K-PEL, DEMETER K и I-DPM Neurointerface in vivo, published 17 July 2026.DOI: 10.5281/zenodo.21419949 English edition DOI:10.5281/zenodo.21459555 Audio version of I-DPM (AI voiceover) in English is available for listening at https://e.pcloud.link/publink/show?code=XZfbPoZxLSDv2Yzi9JlneFz9InOJ5SALj6V","url":"https://doi.org/10.5281/zenodo.21419948","authors":["Krimanov, Aleksandr"],"tags":["Krimanov Principle","Krimanov","Принцип Криманова","I-DPM","Intellectually-Defined Processing of Materials","DEMETER K","KRIMANOV DEMETR","K-PRINCIPLE"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.21419948","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"doi:10.5281/zenodo.22089706","name":"Design and Implementation of Specialized Data Centers for Real-Time C5I Operations in Hyper-Connected Battlefields: An EWNOC-Integrated Architecture","source":"datacite","abstract":"Hyper-connected battlefields impose latency, integration, and resilience requirements on Command, Control, Communications, Computing, and Intelligence (C5I) data center infrastructure that conventional enterprise and general-purpose military architectures were not designed to satisfy jointly. This paper proposes a specialized, five-layer data center architecture for real-time C5I operations, centered on an Electronic Warfare Network Operations Center (EWNOC) that fuses facility telemetry, subsystem-integration-bus data, and digital-twin-generated predictive alerts from all integrated C5I subsystems into a single, governed operational dashboard. The architecture unifies prior work by the author on C5I facility integration, digital-twin predictive operations, tactical-edge computing under Denied, Disconnected, Intermittent, and Limited (D-DIL) conditions, and Zero Trust governance, and decomposes end-to-end decision-cycle latency into physical, storage, integration, reach-back, and operator-decision contributors, proposing an explicit architectural mitigation for each. Every architectural layer is mapped to an established standard, including the BICSI Telecommunications Distribution Methods Manual (TDMM-15) and Outside Plant Design Reference Manual (OSPDRM), ANSI/TIA-942-C, and the U.S. Department of Defense Zero Trust Reference Architecture Version 2.0. The architecture is presented as the design artifact of an active Design Science Research (DSR) doctoral programme, reported here in advance of the lab-scale prototype evaluation that will subsequently generate empirical latency, availability, resilience, and situational-awareness results. This paper's contribution is accordingly a validated, standards-grounded design rather than an empirically tested system, and its limitations are stated explicitly to that effect. Keywords: C5I; EWNOC; data center architecture; hyper-connected battlefield; Zero Trust; tactical edge; Design Science Research","url":"https://doi.org/10.5281/zenodo.22089706","authors":["Yasin, M. Rizwan"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.5281/zenodo.22089706","addedAt":"2026-09-01T01:47:38.995Z","updatedAt":"2026-09-01T01:47:38.995Z"},{"id":"oa:W7162408310","name":"Chaos Engineering for Resilient Manufacturing: A Digital Twin Perspective","source":"openalex","abstract":"Chaos engineering is currently being used by some of the largest software companies in the world to develop IT systems that can withstand turbulent production conditions. This study presents an approach for applying chaos engineering across manufacturing systems to improve system resilience. For this purpose, the proposed chaos twin framework includes a four-step process for the manufacturing and interlinked digital twin system. A case study is discussed based on a material flow simulation. The case study shows the example implementation of the chaos twin framework for improving the resilience of a manufacturing system. The research intends to enhance the field of designing and operating manufacturing systems by demonstrating novel perspectives on applying chaos engineering within the cyberspace. Additionally, the research intends to provide a more industry-oriented guide to facilitate the practical application of chaos engineering within the manufacturing industry.","url":"https://doi.org/10.3390/systems14060608","authors":["Tim van Erp","Vickie Hohberg","Christoffer Aske Møller Huus","Laura Kristine Stokholm Tiedemann","Joakim Stokholm Tiedemann"],"tags":["CHAOS (operating system)","Field (mathematics)","Engineering","Process (computing)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-26","doi":"https://doi.org/10.3390/systems14060608","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4414768771","name":"Shaping tomorrows: the CCS as agents of change in Europe’s transition","source":"openalex","abstract":"This article explores the role of the Cultural and Creative Sectors (CCS) as systemic enablers of the European Union’s (EU) triple transition—green, digital and just. It does this by assessing how EU policy frameworks have supported or constrained that role during the 2019–2024 legislative term, and what policy options are needed in the 2024–2029 parliamentary term to more effectively mobilise the CCS as agents of change across EU transition agendas. Drawing on a comprehensive study conducted for the European Parliament’s Committee on Culture and Education (CULT), the article combines critical analysis of EU institutional documents with future-oriented interviews conducted with a dozen policy experts and stakeholders. The concept of the ‘triple transition’ has gained prominence in EU strategic discourse since 2023, adding a social justice dimension to the existing twin focus on climate neutrality and digital innovation. This shift is not merely rhetorical. The discussion argues that the just transition should be understood not as a supplementary concern, but as the very substrate upon which ecological and digital transformation must grow. It calls for a deeper engagement with societal values, participation, and cohesion; areas in which the CCS are uniquely well-positioned to contribute. Yet, this potential remains only partially realised. While policy tools like the New European Bauhaus, the Digital Services Act, Creative Europe, or the European Pillar of Social Rights acknowledge the relevance of the CCS, their operational integration across EU transition strategies remains fragmented. The article identifies critical gaps in funding models, governance coherence, infrastructure, and cross-sectoral collaboration that continue to marginalise cultural actors from key policy arenas. In response, the article proposes a dual strategic approach: first, strengthening the cultural ecosystem through improved working conditions, sustainable finance, and coordinated governance; and second, embedding the CCS more structurally in the design and implementation of transition policies. Through this lens, the article reframes the CCS not as communicative tools but as crucial co-creators of sustainable and democratic futures.","url":"https://doi.org/10.3389/fcomm.2025.1657019","authors":["Eva De Smedt","Isabelle De Voldere"],"tags":["Political science","Corporate governance","Multi-level governance","Neutrality","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-02","doi":"https://doi.org/10.3389/fcomm.2025.1657019","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4390099127","name":"Cellular immunity analysis by a modular acoustofluidic platform: CIAMAP","source":"openalex","abstract":"The study of molecular mechanisms at the single-cell level holds immense potential for enhancing immunotherapy and understanding neuroinflammation and neurodegenerative diseases by identifying previously concealed pathways within a diverse range of paired cells. However, existing single-cell pairing platforms have limitations in low pairing efficiency, complex manual operation procedures, and single-use functionality. Here, we report a multiparametric cellular immunity analysis by a modular acoustofluidic platform: CIAMAP. This platform enables users to efficiently sort and collect effector-target (i.e., NK92-K562) cell pairs and monitor the real-time dynamics of immunological response formation. Furthermore, we conducted transcriptional and protein expression analyses to evaluate the pathways that mediate effector cytotoxicity toward target cells, as well as the synergistic effect of doxorubicin on the cellular immune response. Our CIAMAP can provide promising building blocks for high-throughput quantitative single-cell level coculture to understand intercellular communication while also empowering immunotherapy by precision analysis of immunological synapses.","url":"https://doi.org/10.1126/sciadv.adj9964","authors":["Ruoyu Zhong","Matthew Sullivan","Neil Upreti","Roy Chen","Agustin De Ganzó","Kai‐Chun Yang","Shujie Yang","Ke Jin","Ye He","Ke Li","Jianping Xia","Zhiteng Ma","Luke P. Lee","Tania Konry","Tony Jun Huang"],"tags":["Modular design","Effector","Computational biology","Immune system","K562 cells"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-22","doi":"https://doi.org/10.1126/sciadv.adj9964","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2591471966","name":"Wideband and UWB Antennas for Wireless Applications: A Comprehensive Review","source":"openalex","abstract":"A comprehensive review concerning the geometry, the manufacturing technologies, the materials, and the numerical techniques, adopted for the analysis and design of wideband and ultrawideband (UWB) antennas for wireless applications, is presented. Planar, printed, dielectric, and wearable antennas, achievable on laminate (rigid and flexible), and textile dielectric substrates are taken into account. The performances of small, low-profile, and dielectric resonator antennas are illustrated paying particular attention to the application areas concerning portable devices (mobile phones, tablets, glasses, laptops, wearable computers, etc.) and radio base stations. This information provides a guidance to the selection of the different antenna geometries in terms of bandwidth, gain, field polarization, time-domain response, dimensions, and materials useful for their realization and integration in modern communication systems.","url":"https://doi.org/10.1155/2017/2390808","authors":["Renato Cicchetti","Emanuela Miozzi","Orlandino Testa"],"tags":["Wireless","Wideband","Electronic engineering","Dielectric resonator","Conformal antenna"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-01-01","doi":"https://doi.org/10.1155/2017/2390808","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4281762082","name":"Machine learning the metastable phase diagram of covalently bonded carbon","source":"openalex","abstract":"Conventional phase diagram generation involves experimentation to provide an initial estimate of the set of thermodynamically accessible phases and their boundaries, followed by use of phenomenological models to interpolate between the available experimental data points and extrapolate to experimentally inaccessible regions. Such an approach, combined with high throughput first-principles calculations and data-mining techniques, has led to exhaustive thermodynamic databases (e.g. compatible with the CALPHAD method), albeit focused on the reduced set of phases observed at distinct thermodynamic equilibria. In contrast, materials during their synthesis, operation, or processing, may not reach their thermodynamic equilibrium state but, instead, remain trapped in a local (metastable) free energy minimum, which may exhibit desirable properties. Here, we introduce an automated workflow that integrates first-principles physics and atomistic simulations with machine learning (ML), and high-performance computing to allow rapid exploration of the metastable phases to construct \"metastable\" phase diagrams for materials far-from-equilibrium. Using carbon as a prototypical system, we demonstrate automated metastable phase diagram construction to map hundreds of metastable states ranging from near equilibrium to far-from-equilibrium (400 meV/atom). We incorporate the free energy calculations into a neural-network-based learning of the equations of state that allows for efficient construction of metastable phase diagrams. We use the metastable phase diagram and identify domains of relative stability and synthesizability of metastable materials. High temperature high pressure experiments using a diamond anvil cell on graphite sample coupled with high-resolution transmission electron microscopy (HRTEM) confirm our metastable phase predictions. In particular, we identify the previously ambiguous structure of n-diamond as a cubic-analog of diaphite-like lonsdaelite phase.","url":"https://doi.org/10.1038/s41467-022-30820-8","authors":["Srilok Srinivasan","Rohit Batra","Duan Luo","Troy D. Loeffler","Sukriti Manna","Henry Chan","Liuxiang Yang","Wenge Yang","Jianguo Wen","Pierre Darancet","Subramanian K. R. S. Sankaranarayanan"],"tags":["Metastability","CALPHAD","Phase diagram","Materials science","Thermodynamics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-06","doi":"https://doi.org/10.1038/s41467-022-30820-8","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W1976019895","name":"Starch Synthesis in Arabidopsis Is Achieved by Spatial Cotranscription of Core Starch Metabolism Genes","source":"openalex","abstract":"Starch synthesis and degradation require the participation of many enzymes, occur in both photosynthetic and nonphotosynthetic tissues, and are subject to environmental and developmental regulation. We examine the distribution of starch in vegetative tissues of Arabidopsis (Arabidopsis thaliana) and the expression of genes encoding core enzymes for starch synthesis. Starch is accumulated in plastids of epidermal, mesophyll, vascular, and root cap cells but not in root proper cells. We also identify cells that can synthesize starch heterotrophically in albino mutants. Starch synthesis in leaves is regulated by developmental stage and light. Expression of gene promoter-beta-glucuronidase fusion constructs in transgenic seedlings shows that starch synthesis genes are transcriptionally active in cells with starch synthesis and are inactive in root proper cells except the plastidial phosphoglucose isomerase. In addition, ADG2 (for ADPG PYROPHOSPHORYLASE2) is not required for starch synthesis in root cap cells. Expression profile analysis reveals that starch metabolism genes can be clustered into two sets based on their tissue-specific expression patterns. Starch distribution and expression pattern of core starch synthesis genes are common in Arabidopsis and rice (Oryza sativa), suggesting that the regulatory mechanism for starch metabolism genes may be conserved evolutionarily. We conclude that starch synthesis in Arabidopsis is achieved by spatial coexpression of core starch metabolism genes regulated by their promoter activities and is fine-tuned by cell-specific endogenous and environmental controls.","url":"https://doi.org/10.1104/pp.109.144196","authors":["Huang-Lung Tsai","Wei‐Ling Lue","Kuan‐Jen Lu","Ming‐Hsiun Hsieh","Shue-Mei Wang","Jychian Chen"],"tags":["Starch","Arabidopsis","Biology","Arabidopsis thaliana","Biochemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2009-09-16","doi":"https://doi.org/10.1104/pp.109.144196","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4411623435","name":"The Integration of the Internet of Things (IoT) Applications into 5G Networks: A Review and Analysis","source":"openalex","abstract":"The incorporation of Internet of Things (IoT) applications into 5G networks marks a significant step towards realizing the full potential of connected systems. 5G networks, with their ultra-low latency, high data speeds, and huge interconnection, provide a perfect foundation for IoT ecosystems to thrive. This connectivity offers a diverse set of applications, including smart cities, self-driving cars, industrial automation, healthcare monitoring, and agricultural solutions. IoT devices can improve their reliability, real-time communication, and scalability by exploiting 5G’s advanced capabilities such as network slicing, edge computing, and enhanced mobile broadband. Furthermore, the convergence of IoT with 5G fosters interoperability, allowing for smooth communication across diverse devices and networks. This study examines the fundamental technical applications, obstacles, and future perspectives for integrating IoT applications with 5G networks, emphasizing the potential benefits while also addressing essential concerns such as security, energy efficiency, and network management. The results of this review and analysis will act as a valuable resource for researchers, industry experts, and policymakers involved in the progression of 5G technologies and their incorporation with IT solutions.","url":"https://doi.org/10.3390/computers14070250","authors":["Aymen I. Zreikat","Zakwan Al-Arnaout","Ahmad Abadleh","Ersin Elbaşı","Nour Mostafa"],"tags":["Internet of Things","Computer science","World Wide Web","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.3390/computers14070250","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165112680","name":"Beyond snapshot dosing: a dynamic living digital twin framework for model-informed precision dosing in critical illness","source":"europepmc","abstract":"INTRODUCTION: Model-Informed Precision Dosing (MIPD) has improved individualized therapy, but in critical illness its reliance on intermittently updated data creates a temporal mismatch between pharmacokinetic (PK) models and rapidly evolving physiology. AREAS COVERED: Synthesizing population pharmacokinetic (popPK) and data science literature, we examine the limitations of snapshot-based dosing, using vancomycin as example. We propose the Dynamic Living Digital Twin (DLDT) framework, which integrates high-frequency electronic health record data into adaptive state-space models such as Kalman filtering. Rather than adding more covariates, the DLDT reframes patient physiology as a continuously evolving latent state that can be updated using temporally dense clinical data. Methodological, infrastructural, and regulatory Software as Medical Device (SaMD) barriers are also evaluated. A non-systematic PubMed search identified relevant publications available up to March 2026. EXPERT OPINION: The next advance in precision dosing will come from temporally adaptive PK reasoning. In this paradigm, patient physiology is treated as an evolving latent state, and clinical pharmacists may increasingly interpret exposure trajectories rather than isolated dose recommendations. Although technically feasible, implementation remains constrained by data interoperability and workflow integration challenges. Clinical pharmacists may therefore increasingly act as stewards of dynamic model outputs, using anticipated exposure trajectories to preempt PK shifts.","url":"https://doi.org/10.1080/17512433.2026.2693120","authors":["Hülya Tezel Yalçın","Nadir Yalçın","Hulya Tezel Yalcin","Nadir Yalcin"],"tags":["Medicine","Snapshot (computer storage)","Dosing","Critical illness","Intensive care medicine"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1080/17512433.2026.2693120","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"oa:W7124418651","name":"Additional Material for the paper A Self-Adaptive Digital Twin Architecture for Dynamic Resource Management","source":"openalex","abstract":"Additional Material for the paper A Self-Adaptive Digital Twin Architecture for Dynamic Resource Management The repository contains additional material for the SEAMS 2026 conference paper.The material includes: The source code of the prototype implementation of the approach presented in the paper in the src folder. The evaluation data and results in the data folder. To process the data and reproduce the graphs presented in the paper, the following Python packages are required: matplotlib numpy the requirements.txt file can be used to install the required packages using pip: pip install -r requirements.txt Data evaluation The `data` folder contains the evaluation data and results for the experiments presented in the paper, alongside the scripts used to generate the plots.To execute the commands below, navigate to the `data` folder in your terminal cd data To reproduce the graph in Figure 9 in the paper, run the following command in the data folder: python3 plot_single.py sim_output_no_peaks/normal_40_15_1_20_True To reproduce the graph in Figure 10 in the paper, run the following command in the `data` folder: python3 plot_multi.py --mean 40 --std 15 --mode normal --iterations 5 --time_steps 20 --adaptive --base sim_output_peaks The results will be saved in the two folders, sim_output_no_peaks and sim_output_peaks, respectively. To generate the time statistics (with the different times captured) from the results, run the following commands in the data folder: python3 plot_time_multi.py --iterations 10 --mean 40 --std 15 --time_steps 20 --adaptive --base sim_output_no_peaks for the results without peak adaptation, and python3 plot_time_multi.py --iterations 10 --mean 40 --std 15 --time_steps 20 --adaptive --base sim_output_peaks for the results with peak adaptation.The parameters passed to the scripts are as follows: --mean: the lambda of the distribution used to generate the sensor data. --std: the standard deviation. While not used in the Poisson distribution, it still serves to identify the correct folder names. --mode: the distribution mode used to generate the distribution with different characteristics. We used `normal` in the experiments, and the parameter is used to identify the correct folder names. --iterations: the number of iterations used in the experiments. --time_steps: the number of time steps used in the experiments. --adaptive: flag to indicate that the adaptive strategy was used. --base: the base folder where the results are stored. Source code The src folder contains the source code of the prototype implementation of the approach presented in the paper. The README in the folder further shows how to install the system and run tests.","url":"https://doi.org/10.5281/zenodo.18269300","authors":["Riccardo Sieve","Paul Kobialka","Andrea Pferscher","Nelly Bencomo","Silvia Lizeth Tapia Tarifa","B. Rasmussen","Einar Broch Johnsen"],"tags":["Computer science","Python (programming language)","Scripting language","Database","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-22","doi":"https://doi.org/10.5281/zenodo.18269300","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165933366","name":"Preface for the Proceedings of the 2026 International Symposium on Intelligent Manufacturing and Optical Sensing Technology (IMOST 2026)","source":"openalex","abstract":"It is with great pleasure that we present the official proceedings of the 2026 International Symposium on Intelligent Manufacturing and Optical Sensing Technology (IMOST 2026), which was successfully convened in the vibrant coastal city of Zhuhai, China, from January 16 to 18, 2026. This symposium served as a dedicated international forum, bringing together researchers, engineers, and industry practitioners to disseminate cutting-edge findings and foster collaboration at the forefront of two interconnected and rapidly evolving disciplines. Under the theme “Converging Intelligence and Light for Future Manufacturing,” IMOST 2026 explored the synergistic integration of advanced computational intelligence with precision optical sensing to revolutionize manufacturing processes. The diverse and high-quality contributions compiled in this volume reflect the breadth of the discussions, spanning pivotal areas such as Advanced Manufacturing Technology, Digital Twin Systems, Industrial Robotics, Laser Processing, Fiber Optic Sensing, AI-driven Optical Sensing, Quantum Sensing, and their transformative applications in smart factories and sustainable production. We are profoundly grateful for the leadership and esteemed presence of our Honorary General Chair, Professor Duc Truong Pham. We extend our sincere gratitude to the Program Chairs, Professor Pengcheng Hu and the Program Co-Chairs, Professor Haider TH. Salim AL Rikabi and Professor Yousef Farhaoui, whose strategic vision was crucial in crafting an exceptional technical program. Our heartfelt thanks also go to the entire Organizing Committee, Local Chairs, and Publicity Chairs for their dedicated efforts in ensuring the flawless execution of the symposium.","url":"https://doi.org/10.1088/1742-6596/3267/1/011001","authors":[],"tags":["Gratitude","Publicity","Engineering","Transformative learning","Theme (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.1088/1742-6596/3267/1/011001","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4391591089","name":"A Survey on Decentralized Identifiers and Verifiable Credentials","source":"openalex","abstract":"Digital identity has always been considered the keystone for implementing secure and trustworthy communications among parties. The ever-evolving digital landscape has gone through many technological transformations that have also affected the way entities are digitally identified. During this digital evolution, identity management has shifted from centralized to decentralized approaches. The last era of this journey is represented by the emerging Self-Sovereign Identity (SSI), which gives users full control over their data. SSI leverages decentralized identifiers (DIDs) and verifiable credentials (VCs), which have been recently standardized by the World Wide Web Community (W3C). These technologies have the potential to build more secure and decentralized digital identity systems, remarkably contributing to strengthening the security of communications that typically involve many distributed participants. It is worth noting that the scope of DIDs and VCs extends beyond individuals, encompassing a broad range of entities including cloud, edge, and Internet of Things (IoT) resources. However, due to their novelty, existing literature lacks a comprehensive survey on how DIDs and VCs have been employed in different application domains, which go beyond SSI systems. This paper provides readers with a comprehensive overview of such technologies from different perspectives. Specifically, we first provide the background on DIDs and VCs. Then, we analyze available implementations and offer an in-depth review of how these technologies have been employed across different use-case scenarios. Furthermore, we examine recent regulations and initiatives that have been emerging worldwide. Finally, we present some challenges that hinder their adoption in real-world scenarios and future research directions.","url":"https://doi.org/10.48550/arxiv.2402.02455","authors":["Carlo Mazzocca","Abbas Acar","Uluagac, Selcuk","Rebecca Montanari","Paolo Bellavista","Mauro Conti"],"tags":["Verifiable secret sharing","Identifier","Computer security","Computer science","Unique identifier"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-04","doi":"https://doi.org/10.48550/arxiv.2402.02455","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4386460083","name":"Integration of IoT and blockchain for decentralized management and ownership in the metaverse","source":"openalex","abstract":"Summary This manuscript provides an in‐depth exploration of metaverses, charting their historical development, technological foundations, and potential multifarious applications. It critically assesses the prevailing challenges and explores potential pathways for the evolution of these expansive, virtual environments. In shedding light on the wide‐ranging implications of metaverses, it navigates societal, cultural, regulatory, and economic landscapes. It further elucidates the symbiosis between the Internet of Things (IoT) and metaverses, presenting empirical evidence derived from purpose‐built IoT frameworks for metaverse applications. A series of experiments were conducted to affirm the hypothesis that the integration of IoT into metaverse utilities, including advanced concepts such as smart buildings, the intricate task of power grid management, and the precision‐centric domain of agriculture, can drive significant progress. Quantitative findings provide compelling evidence of marked improvements in energy conservation, cost‐efficiency, and operational effectiveness arising from the incorporation of IoT into metaverse use cases. With observed mean improvements of 25% in energy conservation, 17% in cost reduction, and an impressive 22% increase in operational efficiency, specifically in the realms of smart building applications and power grid management, this study underscores the pressing need for sustained research and development initiatives in this emerging.","url":"https://doi.org/10.1002/dac.5612","authors":["Ikram Ud Din","Kamran Ahmad Awan","Ahmad Almogren","Joel J. P. C. Rodrigues"],"tags":["Computer science","Metaverse","Expansive","Internet of Things","Smart grid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-04","doi":"https://doi.org/10.1002/dac.5612","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7160726318","name":"Foundation Twins: A New Generation of Power Systems Digital Twins using Foundation AI Models","source":"openalex","abstract":"Power systems are inherently multi-timescale systems, with different physical phenomena and decision-making processes spanning multiple timescales, time horizons, and geographic scopes. I envision power systems digital twins (DTs) as powerful modeling and simulation tools that can accelerate and improve decision-making across different time scales and geographic scopes. However, until now, research has not delivered such a vision, and power systems DTs remain a concept distant from implementation. This is not a regular research paper. This is a position paper that outlines my vision for developing a new generation of power systems DTs that leverage recent advances in artificial intelligence (AI) and machine learning (ML). I call these Foundation Twins. Foundation Twins combines the generalization features of foundation models with the decision-making capabilities of reinforcement learning (RL) architectures to deliver the envisioned power systems DTs.","url":"https://openalex.org/W7160726318","authors":["Pedro P. Vergara"],"tags":["Foundation (evidence)","Leverage (statistics)","Electric power system","Artificial intelligence","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-07","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7204649719","name":"From knowledge exchange to action plan: The Kronoby-Helsingborg NZC Twinning experience","source":"openalex","abstract":"This paper explores the collaborative framework of the NetZeroCities Twinning Learning Programme (TLP) through the case of Kronoby, Finland, and its partnership with the frontrunner city of Helsingborg, Sweden. Serving as the TLP Facilitator, the researcher provided the methodological structure for knowledge exchange, enabling the two cities to effectively navigate their different municipal scales. The process (September 2024 to May 2026) transitioned from online alignment to high-impact physical site visits, which proved essential for building the trust and tacit knowledge required to transfer practices. The primary output is the Twin City Action Plan, a roadmap integrating transferability assessments and implementation steps. Key initiatives of Kronoby’s Action Plan include a digital Furniture Bank for municipal assets, sustainability-focused participatory budgeting, and youth-led \"Social Hubs.\" This case illustrates that significant differences in municipal size are no barrier to inspiration; instead, the \"human element\" (facilitated dialogue and physical observation) remains the critical catalyst for translating experiences into local action.","url":"https://doi.org/10.59490/6a91ad6f0fd2bd55cd254711","authors":["Luiza Schuch de Azambuja","Matilda Björklund","Patricia Svarvar"],"tags":["Tacit knowledge","General partnership","Action (physics)","Transferability","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-29","doi":"https://doi.org/10.59490/6a91ad6f0fd2bd55cd254711","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4415007248","name":"Beyond years of schooling: Shifting genetic influences across educational milestones in two Norwegian cohorts","source":"openalex","abstract":"Abstract Although educational attainment is heritable, its conventional measurement in genetic research as years of education (EduYears) is not designed to reveal potential stage-specific genetic influences across discrete milestones. In two Norwegian cohorts (Norwegian Mother, Father and Child Cohort Study, N = 120,527; Norwegian Twin Registry, N = 8,910), we quantified the genetic contributions to completing high school, bachelor’s, master’s and PhD using genome-wide association studies (GWAS), polygenic indices (PGIs) and twin models. Transition-specific analyses, conditioning on prior success, revealed that observed-scale common-variant heritability (h 2 SNP ) and PGI predictability followed an inverse-U pattern, peaking at the transition into higher education (h 2 SNP ≈ 0.14; R 2 Tjur ≈ 0.05) before declining for postgraduate degrees. Genetic correlations (r g ) with large-scale GWAS of EduYears (EA4) and intelligence (IQ3) were high for early transitions but declined markedly for later ones (e.g., r g with EA4 from ≈ 0.92 to ≈ 0.38). In cumulative analyses, aggregating liability across prior milestones, the gap between twin- and SNP-based heritability narrowed at higher levels of attainment (h 2 twin ≈ 0.6→0.3; h 2 SNP ≈ 0.22→0.19), while the genetic overlap between distant milestones diminished (r g ≈ 0.92→0.71). These patterns, obscured by EduYears metrics, highlight a dynamic genetic architecture across educational milestones, refining polygenic prediction and addressing misconceptions about uniform genetic influences on educational progression.","url":"https://doi.org/10.1101/2025.10.08.680992","authors":["Eirik Haugland Kvalvik","Yunpeng Wang","Kristine B. Walhovd","Torkild Hovde Lyngstad","Ole Røgeberg"],"tags":["Norwegian","Heritability","Genetic architecture","Educational attainment","Demography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-09","doi":"https://doi.org/10.1101/2025.10.08.680992","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2139867082","name":"Finite element analysis of a shape memory alloy three-dimensional beam based on a finite strain description","source":"openalex","abstract":"In the present work a modified phenomenological model of the shape memory alloy (SMA) constitutive law is proposed that is capable of reproducing some aspects of SMA thermomechanical behavior like superelasticity and the one-way shape memory effect. The modified law uses strain and temperature as control variables, which eliminates the need for transformation correctors in finite element analysis. It is implemented in a structural model developed to analyze three-dimensional (3D) structures made out of thick beam elements with features such as taper and curvature, given that SMA products typically fall in this category of shapes. Moreover, a finite strain and large displacement description is adopted to account for the large deformations exhibited during phase transformation. Results, produced by the proposed model, of simulated tensile, three-point and four-point bending tests are presented and compared with experimental data taken from the literature.","url":"https://doi.org/10.1088/0964-1726/17/4/045005","authors":["Moez Ben Jaber","Hichem Smaoui","Patrick Terriault"],"tags":["Shape-memory alloy","Pseudoelasticity","SMA*","Finite element method","Structural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2008-05-27","doi":"https://doi.org/10.1088/0964-1726/17/4/045005","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7164928928","name":"Digital twins for lifespan prediction of used storage racks","source":"openalex","abstract":"Digital twins (DTs) are vital tools to (1) model products or systems at their design stages and (2) monitor systems' conditions and predict their lifespans in their deployment stages. However, not many real-world case studies of DTs have been reported in literature to show significant benefits to Small and Medium sized Enterprises (SMEs). In this paper, DTs are proposed to predict the lifespans of used resources to pursue the sustainability of Reconfigurable Manufacturing Systems (RMSs). To illustrate the potential applications of DTs in enhancing the sustainability of real-world SMEs, a Technical Assistive Project (TAP) for the assessment of lifespans of materials storage racks is presented. The background and data collection methods are introduced, and digital models for 4 selective racks are developed to evaluate their Factor of Safety (FoS) subject to the worst loading scenarios. Parametric design studies are defined and conducted to investigate the dependence of FoS on varying loads. The results support managers' scientific decision-makings on reusing and recycling manufacturing resources in Sustainable Manufacturing.","url":"https://doi.org/10.1038/s41598-026-56844-4","authors":["Bi Zhuming","Donald Mueller","Bin Chen","Chaomin Luo","Muzi Li"],"tags":["Software deployment","Sustainability","Computer science","Reuse","Data collection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-16","doi":"https://doi.org/10.1038/s41598-026-56844-4","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7161163973","name":"Using digital twins for co-designing cities: a review of digital participatory approaches","source":"openalex","abstract":"Urban design is crucial in fostering sustainable, resilient and inclusive cities. As digital technology advances, digital twins have emerged as a powerful tool for enhancing citizen participation in urban design. This scoping review systematically explores and maps existing digital twin-based frameworks, methods and tools that engage citizens in urban design processes. By synthesizing findings from 26 studies, this review identifies key trends, challenges and research gaps in implementing digital twins for participatory urban planning. The results suggest that digital twins facilitate enhanced decision-making, bridge the gap between experts and citizens and improve the accessibility of urban planning through interactive platforms. However, data governance, inclusivity and technical integration complexity persist. This study proposes a Digital Twin Framework that categorizes digital twins into four types: analytical, visualization-driven, interactive participatory and operational, each serving distinct functions in citizen engagement. The findings underscore the need for further research on the socio-technical implications of digital twin adoption in urban design, ensuring equitable and effective citizen participation. Future work should address technical barriers, ethical considerations and policy frameworks to maximize the potential of digital twins in shaping urban environments.","url":"https://doi.org/10.1080/09654313.2026.2668560","authors":["Frida Thuresson","Kevin Lau","Agatino Rizzo"],"tags":["Citizen journalism","Sociology","Knowledge management","Public relations","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-13","doi":"https://doi.org/10.1080/09654313.2026.2668560","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7165387917","name":"FL-TWIN: a unified federated learning system for intrusion detection with digital twins modelling","source":"europepmc","abstract":"The growth of networked environments has intensified the challenge of detecting distributed denial-of-service (DDoS) attacks, as centralized intrusion detection systems face scalability, privacy, and data heterogeneity limitations. This paper proposes a federated learning framework for DDoS detection, Unified FL-TWIN, that pairs each participating client with an edge-resident Digital Twin (DT), applies a four-stage poisoning defence pipeline, and records all aggregations and security events on a permissioned blockchain ledger. Also, each DT maintains a versioned ring buffer of model snapshots, enabling per-client targeted rollback upon adversary detection. The defence pipeline comprises: Layered Update Purification (LUP), Differential Privacy via DP-SGD, Dual Dynamic Aggregation, TracIn and a blockchain. The novelty of this work lies in systematically integrating them into a Unified FL-TWIN approach that addresses several challenges simultaneously. This proposed approach simultaneously provides privacy protection, robustness, trustworthiness, accountability, and adaptive learning within a single architecture. In experiments on the CIC-DDoS 2019 dataset, we are covering clean baselines and three attack types with 30% malicious participation. The FL-TWIN achieves peak test accuracies of 99.97%, 99.98%, and 99.98% under label-flip, gradient-noise, and backdoor attacks, respectively, compared to a stagnant 99.72% for the undefended baseline. LUP achieves F1 scores of 0.57, 0.75, and 0.80 across three attack types, while the blockchain ledger maintains full save across all experiments. These results show that combining Digital Twin rollback with a layered detection pipeline improves recovery from federated poisoning attacks.","url":"https://doi.org/10.1038/s41598-026-58750-1","authors":["Anji Ayman Hamwi","Meenakshi Mittal"],"tags":["Computer science","Intrusion detection system","Backdoor","Federated learning","Adversary"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1038/s41598-026-58750-1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4410598182","name":"Towards Planet Proof Computing: Law and Policy of Data Centre Sustainability in the European Union","source":"openalex","abstract":"Our society’s growing reliance on digital technologies such as AI incurs an ever-growing ecological footprint. The EU regulation of the data centre sector aims to achieve climate-neutral, energy-efficient and sustainable data centres by no later than 2030. This article unpacks the EU law and policy which aims on improving energy efficiency, recycling equipment and increasing reporting and transparency obligations. In 2025 the Commission will present a report based on information reported by data centre operators and in light of the new evidence review its policy. Further regulation should aim to translate reporting requirements into binding sustainability targets to contain rebound effects of the data centre industry while strengthening the public value orientation of the industry.","url":"https://doi.org/10.71265/c1nnwh92","authors":["Jessica Commins","Kristina Irion"],"tags":["European union","Sustainability","Planet","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-17","doi":"https://doi.org/10.71265/c1nnwh92","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7132840894","name":"Digital twins in oncology: Revolutionising precision cancer care","source":"openalex","abstract":"The emergence of digital twin technology represents a paradigm shift in precision oncology, offering unprecedented opportunities to transform how we diagnose, treat, and monitor cancer patients. Originally conceived in aerospace and manufacturing industries, digital twins – dynamic virtual replicas that evolve with real-time data inputs – are now poised to revolutionize cancer care by enabling truly personalized therapeutic strategies. THE DIGITAL TWIN PARADIGM IN CANCERA cancer patient digital twin integrates multiscale, multimodal patient data – including genomics, proteomics, imaging, clinical records, and real-time monitoring – to create a computational model that mirrors an individual patient’s disease trajectory. Unlike static predictive models, digital twins continuously assimilate new data, enabling dynamic adaptation as a patient’s condition evolves. This real-time learning capability addresses a fundamental limitation of traditional clinical approaches, where treatment decisions are often based on population averages rather than individual characteristics. The global digital twin market in healthcare is experiencing explosive growth, projected to reach USD 21.1 billion by 2028 with a compound annual growth rate exceeding 25%. In oncology specifically, research output has surged dramatically since 2020, with major initiatives from institutions including the National Cancer Institute, MD Anderson Cancer Center, and European Union-funded consortia driving innovation. TRANSFORMATIVE APPLICATIONSDigital twins offer transformative potential across multiple domains of cancer care. In personalized treatment planning, they enable simulation of tumor responses across treatment modalities – immunotherapy, chemotherapy, radiation – allowing clinicians to develop bespoke treatment plans that optimize outcomes while minimizing adverse effects. Early clinical applications have demonstrated success, including evolution-based mathematical models that significantly prolonged time-to-progression in metastatic castrate-resistant prostate cancer through adaptive therapy strategies. In clinical trial design, digital twins enable in silico simulation of trial outcomes, optimizing study designs and accelerating drug development. Virtual patient populations can be generated to test hypotheses, identify potential biomarkers for patient stratification, and predict treatment responses before human exposure – potentially reducing the time and cost associated with traditional clinical trials.9 Recent validation studies comparing virtual trials with conventional outcomes have demonstrated remarkable concordance, supporting the reliability of this approach. For real-time monitoring and adaptation, digital twins continuously integrate data from clinical encounters, imaging, and even wearable devices to track disease progression and treatment response. This enables clinicians to adjust protocols dynamically – critical in oncology where tumor biology and treatment responsiveness vary significantly over time and between individuals. Despite their promise, significant challenges remain. Data integration across heterogeneous sources presents substantial technical hurdles, requiring robust frameworks for harmonizing genomic, imaging, and clinical data under findability, accessibility, interoperability, reusability principles. The complexity of cancer biology – including mechanisms of drug resistance, immune responses, and inter-patient heterogeneity – poses challenges for mechanistic modeling, particularly in immuno-oncology, where treatment mechanisms are not fully understood. Regulatory frameworks remain underdeveloped. Bodies, including the Food and Drug Administration and European Medicines Agency will need to establish clear guidelines for validating and deploying digital twins in clinical settings, similar to existing frameworks for medical devices. Furthermore, ethical considerations regarding data privacy, algorithmic bias, and equitable access ne","url":"https://doi.org/10.71152/ajms.v17i3.5141","authors":["Ruby Dhar","Arun HS Kumar","Subhradip Karmakar"],"tags":["Medicine","Transformative learning","Bespoke","Precision medicine","Modalities"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.71152/ajms.v17i3.5141","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7117233730","name":"Research on output power modeling of all-electric marine diesel generator set based on data-driven","source":"openalex","abstract":"• Proposed a data-driven modeling method for diesel generator sets based on information entropy and Elastic Net regression. • Validated the algorithm using actual operational data collected during vessel operation. • The developed model reveals the underlying correlation mechanisms among the operational parameters of the diesel generator set. Multi-energy integrated all-electric vessels, centred on generator sets and lithium-ion battery packs, represent a pivotal direction for the development of green intelligent vessels. Their intelligent operation and maintenance heavily rely on digital twin technology. As the core power source, shipboard diesel generator sets exhibit strong multi-physics coupling characteristics, making the construction of mechanism-based models challenging and difficult to simultaneously meet the accuracy and real-time requirements of digital twin systems. Considering that most operational conditions during vessel navigation are steady-state or quasi-steady-state, high-precision steady-state models provide a reliable foundation for conducting energy efficiency analysis, load distribution optimisation, and performance degradation assessment. To this end, this paper proposes a data-driven steady-state modelling method for diesel generators. This approach uses prime mover operational data as input and generator power as output, employing information entropy for feature selection and an elastic net regression algorithm for model construction. A dataset derived from actual vessel operational data was used for model training and validation. After normalisation, the model achieved a Mean Absolute Error (MAE) of 0.0110, a Root Mean Square Error (RMSE) of 0.0162, and a Coefficient of Determination (R²) of 0.9974. This model reveals underlying correlation mechanisms among unit characteristics, providing a critical steady-state simulation module for the digital twin system of all-electric vessels. It also lays a robust foundation for subsequent energy efficiency optimisation and condition monitoring efforts.","url":"https://doi.org/10.1016/j.oceaneng.2025.123955","authors":["Longhai Xiao","Wanneng Yu","Haibin Wang","Yao Chen"],"tags":["Diesel generator","Prime mover","Entropy (arrow of time)","Computer science","Turbo generator"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-25","doi":"https://doi.org/10.1016/j.oceaneng.2025.123955","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4402504708","name":"The Future of Manufacturing with AI and Data Analytics","source":"openalex","abstract":"This chapter explores the potential of applying AI and data analytics to transform manufacturing. It provides an overview of new research trends in smart manufacturing, including the use of IoT, big data, and advanced AI technologies like machine learning and digital twins. The conceptual background of relevant AI approaches is discussed, including deep learning, reinforcement learning, unsupervised learning, and state-of-the-art models. A key focus is examining the role of AI in predictive maintenance through data-driven techniques for remaining useful life estimation, anomaly detection, prognostics, and optimizing maintenance strategies. Challenges and limitations such as noisy data, imbalanced datasets, and high computational requirements are addressed. The opportunities enabled by AI in manufacturing are highlighted, spanning synthetic data generation, real-time prediction, and enhancing asset utilization. The chapter concludes that transformative gains in productivity, sustainability, and resilience will arise from thoughtfully leveraging AI and data to inform decision-making in industrial settings. Adoption remains in the early stages, and realizing the full potential will require interdisciplinary collaboration and purposeful innovation.","url":"https://doi.org/10.1002/9781394303601.ch23","authors":["Neel Shah","Sneh Shah","Janvi Bhanushali","Nirav Bhatt","Nikita Bhatt","Hiren Mewada"],"tags":["Analytics","Data science","Data analysis","Computer science","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-13","doi":"https://doi.org/10.1002/9781394303601.ch23","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4416300580","name":"Transitioning to smart circular construction: A conceptual framework for circular economy implementation through Construction 4.0 technologies","source":"openalex","abstract":"The integration of Construction 4.0 technologies, such as digital technologies, with circular economy (CE) concepts, offers significant potential to advance smart circular construction (SCC). Yet, the literature lacks a cohesive understanding of the measurable, value-driven outcomes, termed smart circular values, that can guide SCC's systemic adoption. This study addresses this gap by developing a conceptual framework for strategically deploying Construction 4.0 technologies to enhance material circularity in the construction sector, grounded in the human-centric, resilient, and sustainable principles of Industry 5.0. A systematic literature review of 96 peer-reviewed articles was conducted to map interdependencies between Construction 4.0 technologies and CE concepts. Using a novel operationalisation technique, the direct clustering algorithm, technologies were grouped according to their support for CE concepts, revealing five distinct smart circular values: smart energy management, smart construction methods, smart resource optimisation, smart tracking and tracing, and smart waste management. These values form the foundation for defining SCC and reveal distinct, technology-enabled pathways for its realisation. Potential adverse impacts of adopting Construction 4.0 technologies were also identified to guide implementation strategies and inform assessments of the net benefits of SCC adoption. Overall, the framework outlines key adoption priorities, highlights pressing challenges, and emphasises the importance of organisation-level assessments to accelerate progress toward a more circular built environment.","url":"https://doi.org/10.1016/j.eiar.2025.108260","authors":["Oluwapelumi Abiodun","Mohamed Abadi","Obuks Ejohwomu","Patrick Manu"],"tags":["Circular economy","Interdependence","Conceptual framework","Resource (disambiguation)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-12","doi":"https://doi.org/10.1016/j.eiar.2025.108260","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7133118302","name":"Precision Agriculture Through a Real-Time Systems Perspective: A Narrative Review","source":"openalex","abstract":"Precision agriculture employs state-of-the-art technologies to improve the economic viability, sustainability, and efficiency of agricultural practices. This paper offers a thorough review of precision agriculture, with an emphasis on real-time systems as a foundation for understanding the integration and impact of major technologies. We examine technologies such as digital twins, mobile applications, autonomous systems, location-aware technologies, edge computing, and Wireless Sensor Networks (WSN) that are revolutionizing agricultural processes. We also discuss the potential of other sensing techniques to enhance precision farming, including image analysis, sensory and chemical analysis, and physical state detection. Additionally, the roles that data transmission protocols, artificial intelligence (AI), and machine learning play in maximizing real-time data processing and decision-making are examined. We emphasize the main challenges and limitations in precision agriculture, such as data interoperability, scalability, and system integration. With a focus on market trends and local issues, we examine how AI, real-time systems, sensor technologies, and financial constraints impact the growth of precision agriculture. These advancements have an impact on precise monitoring, post-harvest management, and human health. Lastly, we provide suggestions for successful integration and future developments in precision agriculture, emphasizing design, engineering, and creative approaches to assist the field’s ongoing development.","url":"https://doi.org/10.3390/agronomy16050552","authors":["Mansub Haseeb Bhat","Rickiel Franklin da Franklin da Silva","Sameer Bhat","Aeshna Sinha","Kenneth J. Moore"],"tags":["Precision agriculture","Computer science","Data science","Agriculture","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-28","doi":"https://doi.org/10.3390/agronomy16050552","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4225137963","name":"BCFDPS: A Blockchain-Based Click Fraud Detection and Prevention Scheme for Online Advertising","source":"openalex","abstract":"Online advertising, which depends on consumers’ click, creates revenue for media sites, publishers, and advertisers. However, click fraud by criminals, i.e., the ad is clicked either by malicious machines or hiring people, threatens this advertising system. To solve the problem, many schemes are proposed which are mainly based on machine learning or statistical analysis. Although these schemes mitigate the problem of click fraud, several problems still exist. For example, some fraudulent clicks are still in the wild since their schemes only discover the fraudulent clicks with a probability approaching but not 100%. Also, the process of detecting a click fraud is executed by a single publisher, which makes a chance for the publisher to obtain illegal income by deceiving advertisers and media sites. Besides, the identity privacy of consumers is also exposed because the schemes deal with the plain text of consumers’ real identity. Therefore, in this paper, a blockchain-based click fraud detection and prevention scheme (BCFDPS) for online advertising is proposed to deal with the above problems. Specifically, the BCFDPS mainly introduces bilinear pairing to implicitly verify whether a consumer’s real digital identity is contained in a click message to significantly avoid click fraud and employs a consortium blockchain to ensure the transparency of the detection and prevention process. In our scheme, the clicks by machines or fraud ones by a human can be accurately detected and prevented by media sites, publishers, and advertisers. Furthermore, ciphertext-policy attribute-based encryption is adopted to protect the identity privacy of consumers. The implementation and evaluation results show that compared with the existing click fraud detection and prevention schemes based on machine learning and statistical analysis, BCFDPS achieves detection of each fraudulent click with a probability of 100% and consumes lower computation cost; furthermore, BCFDPS adds functions of consumers’ privacy protection and click fraud detection and prevention, compared to the existing blockchain-based online advertising scheme, by introducing limited communication cost ( 4,984 bytes) at lower storage cost.","url":"https://doi.org/10.1155/2022/3043489","authors":["Qiuyun Lyu","Hao Li","Renjie Zhou","Jilin Zhang","Nailiang Zhao","Yan Liu"],"tags":["Computer science","Transparency (behavior)","Online advertising","Scheme (mathematics)","Click-through rate"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-29","doi":"https://doi.org/10.1155/2022/3043489","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3215229809","name":"Ontology‐Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production","source":"openalex","abstract":"Effective information management is critical for the development of manufacturing processes. This paper aims to provide an overview of ontologies that can be utilized in building Industry 4.0 applications. The main contributions of the work are that it highlights ontologies that are suitable for manufacturing management and recommends the multilayer‐network‐based interpretation and analysis of ontology‐based databases. This article not only serves as a reference for engineers and researchers on ontologies but also presents a reproducible industrial case study that describes the ontology‐based model of a wire harness assembly manufacturing process.","url":"https://doi.org/10.1155/2021/8603515","authors":["László Nagy","Tamás Ruppert","János Abonyi"],"tags":["Ontology","Production (economics)","Computer science","Manufacturing engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1155/2021/8603515","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7131863007","name":"Artificial intelligence for personalized multiple micronutrient supplementation in maternal health","source":"openalex","abstract":"Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long-term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small-for-gestational-age births, and neonatal mortality, when compared with standard iron-folic acid supplementation. Current MMS strategies, however, often follow a standard MMS, overlooking variations in nutritional status, health profiles, and context. Advances in artificial intelligence (AI), particularly deep learning and natural language processing, provide opportunities to strengthen maternal nutrition programs by integrating diverse data sources. Rather than promising fully individualized recommendations, AI could help stratify women by risk of insufficiencies or deficiencies, highlight groups most likely to benefit from additional support, and inform the design of more responsive supplementation strategies during preconception and pregnancy. We outline a conceptual model in which multimodal health data-including electronic health records (EHRs), wearable sensor outputs, nutrition and fertility app logs, genomic markers, and sociodemographic information-are aggregated and analyzed by AI systems to inform personalized MMS plans. The framework introduces the concept of a \"nutritional digital twin,\" a virtual profile of the patient's nutritional and metabolic state. This digital twin can simulate micronutrient needs and predict maternal-fetal outcomes under different supplementation scenarios, enabling clinicians to test scenario-based options (e.g. standard MMS ± targeted add-ons) for individuals. We describe how deep learning models can identify complex patterns (e.g. diet-genome interactions or behavioral trends) while natural language processing (NLP) algorithms extract clinically relevant insights from unstructured data (such as medical notes or patient queries). In addition, we discuss the role of digital maternal health tools, such as mobile apps and wearable trackers, in supplying real-time data to the AI models and in engaging women to improve adherence to supplementation regimens. Harnessing AI for MMS could transform maternal nutrition care in both high- and low-resource settings. In high-income contexts, rich data (comprehensive EHRs, genetic tests, continuous monitoring devices) could feed advanced predictive models to support risk-stratified care with protocolized supplementation options, under clinical oversight. In low- and middle-income countries, where maternal undernutrition and micronutrient gaps are most prevalent, AI-driven approaches can help stratify risk groups and optimize limited resources. Ubiquitous mobile phone access and digital health tools in many such settings provide avenues for data collection and intervention delivery. We highlight examples where machine learning on population data revealed \"hidden hunger\" patterns and key predictors of low supplement uptake (e.g. low education, minimal antenatal visits)-insights that policymakers can use to target nutrition programs. A nutritional digital twin could further allow scenario-testing (e.g. predicting the impact of adding a vitamin D supplement for a specific patient) before clinical decisions are made. To realize this vision, the key concerns are ethics, credibility, and fairness. Ethical frameworks must guide development so that sensitive reproductive health data are protected and clinician oversight remains central. The credibility of AI-generated recommendations depends on transparency about the assumptions used to translate nutritional and health data into supplement type and dose, and on prospective validation against maternal and neonatal outcomes. This requires a continuous feedback loop in which recommendations are tested in real-world settings and recalibrated using outcomes data, ensuring that the system learns from observed bene","url":"https://doi.org/10.1002/ijgo.70911","authors":["Gabriel Davis Jones","Aris T Papageorghiou","Hassan Shehata","Hema Divakar","Eline M Van der Beek","Vyta Senikas","J. C Konje","A N Kihara","Moshe Hod"],"tags":["Micronutrient","Medicine","Malnutrition","Digital health","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-26","doi":"https://doi.org/10.1002/ijgo.70911","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165517885","name":"Using Digital Twins of Bearing Units for Their Automatic Diagnostics","source":"openalex","abstract":"Diagnostics of bearing assemblies during operation are essential for maintaining operational reliability. The study focused on the bearing assemblies of the rear axle gearbox of a KAMAZ 6×4 vehicle. Finite element modeling of temperature distribution was performed using APM FEM. An INSTRUMAX PIRO-330 pyrometer and a UTi260B thermal imager were used to measure temperatures. Digital twins of the bearing assemblies were developed to obtain friction zone temperatures and proportionality coefficients for the finite element models, based on the nominal load criterion and lubricant properties. Thermal imaging demonstrated the practical applicability of digital thermal diagnostics technology and the developed digital twins. Practical recommendations are proposed for technical diagnostics of bearings using infrared pyrometers, thermal imagers, temperature indicator stickers, and a transmission fault recorder.","url":"https://doi.org/10.46793/adeletters.2026.5.2.5","authors":["Mikhail Erokhin","Alexander Pastukhov","E. P. Timashov"],"tags":["Pyrometer","Bearing (navigation)","Finite element method","Thermal","Lubricant"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.46793/adeletters.2026.5.2.5","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7128373410","name":"A Review of Markerless Pose Estimation Methods for Digital Twins","source":"preprints","abstract":"As robots and other forms of intelligent automation are improved, solutions to safely and accurately control their operation have also evolved. Many recent solutions to this control problem rely heavily upon Digital Twins (DT), or a digital copy of the environment, which tracks the presence and location of all agents and objects. However, implementing a digital twin is a non-neglible challenge as a high fidelity link between the real and digital worlds must be maintained. To this end, we have compiled a brief background on the problem of 3-Dimensional (3D) Pose Recovery from markerless visual data, listing some of the most recent works in the field and comparing their suitability for DT. In 3D Pose Recovery (3DPR), a subject’s position and orientation, or pose, is recovered from visual data in which objects and actors are not physically tagged or identified. This pose can then be used to help identify the location of a target object or actor to track in the digital twin. Additionally, we identify some emerging or remaining challenges in visual 3DPR in the context of DT and highlight a few methods that attempt to address them.","url":"https://doi.org/10.20944/preprints202602.0443.v1","authors":["Maximillian Panoff","Antonio Hendricks","Peter Forcha","Jung Minchul","Shuo Wang","Christophe Bobda"],"tags":["Artificial intelligence","Computer vision","Computer science","Pose","Context (archaeology)"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.20944/preprints202602.0443.v1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7198676460","name":"Using Digital twins for the future development of the port of Vaasa","source":"openalex","abstract":"Digitalization and sustainability in ports have become more significant recently because of increasing operational complexity, environmental considerations, and energy transition. Terms such as smart ports, digital twins, renewable energy use, and sector coupling play an increasingly significant part in enhancing the efficiency and sustainability of operations and decisions in port infrastructures. This thesis is concerned with the potential application of digital twin technology in developing future smart ports. Specifically, the possibilities of including energy functions and sector coupling ideas into the digital twin environment are considered. The thesis study includes a literature review and the actual development of a digital twin prototype for the Port of Vaasa. In the theoretical background, topics related to smart ports, digital twins, renewable energy sources, Power-to-X solutions, and sector coupling were examined. Based on the theoretical background, a web-based digital twin prototype was designed using CesiumJS and a variety of other tools. The developed prototype includes functionalities such as 3D visualization, land use layers, context information, port statistics, weather integration using external APIs, and scenario creation for energy usage. This prototype illustrates how digital twins can help visualize the port situation, increase situational awareness, and even make decisions, while keeping flexibility and accessibility through the utilization of open-source tools. Based on the findings, it can be concluded that digital twins have a lot of potential to be used for the future development of smart ports. This is related to data integration and the increased understanding of operations and energy planning within the ports. Moreover, by integrating sector coupling ideas into port digital twins, the future of ports becomes clear, as ports will serve as more than logistical centers, but also as parts of energy systems in the future.","url":"https://openalex.org/W7198676460","authors":["Sina Mahmoudi Kanesbi"],"tags":["Engineering","Flexibility (engineering)","Port (circuit theory)","Context (archaeology)","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160320950","name":"A Composable Architectural Model for Digital Twin Computing Applications","source":"openalex","abstract":"Digital Twins (DTs) are increasingly deployed in Industry 4.0 to enable real-time monitoring, analysis, and control, yet the transition from isolated DT instances to plant-wide ecosystems across cloud and edge infrastructures introduces fragmentation and coordination challenges among heterogeneous assets, data sources, and services. This paper addresses this gap by proposing a cloud-native Digital Twin Computing Layer (DTCL) that provides a unified control and orchestration plane for composing and operating DT applications in Smart Manufacturing. The DTCL is designed as a three-tier architecture comprising a developer-facing user interface, a Deploy Engine for automated deployment and lifecycle management, and a Service Catalog of reusable, independently deployable microservices. Standardized interaction is supported through semantic DT models and API- and message-based communication mechanisms. A governance workflow, based on service discovery and validation, is introduced to support non-redundant integration and controlled evolution of services. The approach is demonstrated through a Smart Manufacturing predictive maintenance case study and further extended with a Smart Mobility scenario for urban public transport planning, highlighting the flexibility of the DTCL across different application domains. Overall, the DTCL supports modular composition, interoperability, and lifecycle governance across heterogeneous Digital Twin applications, providing a scalable foundation for both industrial and urban data-driven scenarios.","url":"https://doi.org/10.3390/app16094541","authors":["Saverio Ieva","Davide Loconte","Andrea Pazienza","Matteo Colombo","Federico Marzo","Giuseppe Loseto","Floriano Scioscia","Michele Ruta"],"tags":["Computer science","Cloud computing","Modular design","Software deployment","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-05","doi":"https://doi.org/10.3390/app16094541","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7155616511","name":"From equations to agents: The artificial intelligence virtual cell reshaping precision oncology","source":"openalex","abstract":"The Artificial Intelligence Virtual Cell (AIVC) is an advanced computational tool that combines detailed cellular data from single-cell and spatial technologies, including gene expression, epigenetic changes, and cell characteristics, while incorporating fundamental physical and biological rules. This approach creates accurate digital twins of cells that can simulate how tumors develop, evolve, and change over time across multiple scales, from molecules to tissues. Unlike traditional models based on fixed equations that struggle with cancer's extreme complexity and diversity, AIVC learns patterns directly from large biological datasets using modern AI methods. It models cells as intelligent agents operating in a mathematical space and refines predictions through ongoing feedback. This enables patient-specific computer simulations of drug effects, genetic alterations, and tumor environment interactions, moving precision oncology toward truly personalized and dynamic treatment strategies. Despite challenges like incomplete datasets, validation needs, and high computing demands, AIVC is maturing into a valuable research partner and advancing toward clinical use, positioned to transform cancer care.","url":"https://doi.org/10.59717/j.xinn-oncol.2026.100002","authors":["Ruochen Wei","Boquan Wang","Bin Yan","Yuxi Yang","Wanyi Liu","Jia Ding","Dehua Hu","Wei Zhang","Shengjie Sun","Yun Peng","Peng Luo","Yanru Cui","Xue-Song Liu","Jian-Guo Zhou","Shixiang Wang"],"tags":["Computer science","Artificial intelligence","Computational model","Precision medicine","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.59717/j.xinn-oncol.2026.100002","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4362580717","name":"Computer-Supported Smart Green-Blue Infrastructure Management","source":"openalex","abstract":"Answering climate change challenges, the paper proposes an intelligent decision support system (DSS) for the management of green-blue infrastructure (GBI). Addressing the gaps identified in other studies, the designed DSS incorporates four key elements: 1/interdisciplinary collaboration among all stakeholders 2/inclusion of practical operation and maintenance activities, 3/main components of distributed DSS, with practical examples of use, 4/consideration of conditions specific to the location. The multi-layered DSS architecture can be implemented as a unified platform that provides a comprehensive, customizable, and flexible framework based on AI tools, big data and analytics, edge computing, cloud, and mobile, IIoT, and biometric system tools. The use of cobots and digital clones alongside humans results in the implementation of hybrid human-machine units. DSS for GBI increases decision-making capacity and can serve as a foundation for the implementation of similar systems by governments and local communities to build sustainable and resilient communities.","url":"https://doi.org/10.15837/ijccc.2023.2.5286","authors":["Maria Vișan","Firicel Mone"],"tags":["Computer science","Cloud computing","Decision support system","Analytics","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-03","doi":"https://doi.org/10.15837/ijccc.2023.2.5286","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7124464271","name":"Additional Material for the paper A Self-Adaptive Digital Twin Architecture for Dynamic Resource Management","source":"openalex","abstract":"Additional Material for the paper A Self-Adaptive Digital Twin Architecture for Dynamic Resource Management The repository contains additional material for the SEAMS 2026 conference paper.The material includes: The source code of the prototype implementation of the approach presented in the paper in the src folder. The evaluation data and results in the data folder. To process the data and reproduce the graphs presented in the paper, the following Python packages are required: matplotlib numpy the requirements.txt file can be used to install the required packages using pip: pip install -r requirements.txt Data evaluation The `data` folder contains the evaluation data and results for the experiments presented in the paper, alongside the scripts used to generate the plots.To execute the commands below, navigate to the `data` folder in your terminal cd data To reproduce the graph in Figure 9 in the paper, run the following command in the data folder: python3 plot_single.py sim_output_no_peaks/normal_40_15_1_20_True To reproduce the graph in Figure 10 in the paper, run the following command in the `data` folder: python3 plot_multi.py --mean 40 --std 15 --mode normal --iterations 5 --time_steps 20 --adaptive --base sim_output_peaks The results will be saved in the two folders, sim_output_no_peaks and sim_output_peaks, respectively. To generate the time statistics (with the different times captured) from the results, run the following commands in the data folder: python3 plot_time_multi.py --iterations 10 --mean 40 --std 15 --time_steps 20 --adaptive --base sim_output_no_peaks for the results without peak adaptation, and python3 plot_time_multi.py --iterations 10 --mean 40 --std 15 --time_steps 20 --adaptive --base sim_output_peaks for the results with peak adaptation.The parameters passed to the scripts are as follows: --mean: the lambda of the distribution used to generate the sensor data. --std: the standard deviation. While not used in the Poisson distribution, it still serves to identify the correct folder names. --mode: the distribution mode used to generate the distribution with different characteristics. We used `normal` in the experiments, and the parameter is used to identify the correct folder names. --iterations: the number of iterations used in the experiments. --time_steps: the number of time steps used in the experiments. --adaptive: flag to indicate that the adaptive strategy was used. --base: the base folder where the results are stored. Source code The src folder contains the source code of the prototype implementation of the approach presented in the paper. The README in the folder further shows how to install the system and run tests.","url":"https://doi.org/10.5281/zenodo.18270926","authors":["Riccardo Sieve","Paul Kobialka","Andrea Pferscher","Nelly Bencomo","Silvia Lizeth Tapia Tarifa","B. Rasmussen","Einar Broch Johnsen"],"tags":["Computer science","Python (programming language)","Scripting language","Database","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-16","doi":"https://doi.org/10.5281/zenodo.18270926","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165047275","name":"Future of dental care through digital twin technology","source":"openalex","abstract":"Digital Twin (DT) technology has emerged as a revolutionary innovation in healthcare, offering a virtual representation of physical entities that can be continuously updated with real-time data. In dentistry, digital twins integrate clinical records, radiographic imaging, cone-beam computed tomography (CBCT), intraoral scans, and artificial intelligence (AI) algorithms to create patient-specific virtual models. These models facilitate accurate diagnosis, treatment planning, outcome prediction, and long-term monitoring of oral health. The concept supports the transition from conventional reactive dental care to predictive, preventive, and personalized dentistry. Applications of digital twins have been explored in orthodontics, implantology, prosthodontics, endodontics, and oral and maxillofacial surgery. By enabling virtual simulation of treatment procedures before clinical implementation, digital twins improve precision, reduce treatment risks, and enhance patient engagement. Despite their promising potential, challenges including high implementation costs, data security concerns, interoperability issues, and limited clinical validation continue to hinder widespread adoption. This review discusses the principles, current applications, benefits, limitations, and future prospects of digital twin technology in dentistry and highlights its potential role in shaping precision oral healthcare.","url":"https://doi.org/10.22271/oral.2026.v12.i6b.2432","authors":["Archit Kamat"],"tags":["Interoperability","Computer science","Medicine","Virtual reality","Dental care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.22271/oral.2026.v12.i6b.2432","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7155040263","name":"Digital Twin for Road Condition Monitoring and Predictive Maintenance","source":"openalex","abstract":"A digital twin-based framework is developed in this paper for road condition monitoring and predictive maintenance, aiming to tackle the inefficiencies of traditional road inspection methods and the practical dilemmas in the operation of complex road infrastructure systems. Road maintenance management is confronted with prominent challenges including the spatial complexity of road networks, the nonlinear evolution of pavement damage, and the heterogeneity of multi-source monitoring data. To solve these practical problems, this research designs a three-layer digital twin architecture composed of physical space, data interaction space and virtual space, and puts forward three targeted innovative design strategies. First, autonomous inspection vehicles integrated with a multi-sensor system are deployed to realize continuous and real-time data acquisition under normal traffic conditions, without interrupting the regular road operation. Second, a unified data integration platform is constructed to standardize the format of heterogeneous monitoring data, thereby improving the interoperability and data sharing efficiency of different road monitoring systems. Third, a robotic maintenance system is designed to support targeted and automated repair operations, with maintenance decisions generated based on the predictive analysis results of the digital twin model. The case test results show that the proposed digital twin framework can significantly improve the efficiency of road condition inspection and provide reliable technical support for the formulation of predictive maintenance strategies for road infrastructure. Overall, the framework developed in this study provides a practical approach for improving road maintenance using digital twin technology. It shows potential for supporting more efficient and scalable maintenance processes in real-world applications.","url":"https://doi.org/10.54254/2755-2721/2026.32900","authors":["Yakun Zhang"],"tags":["Predictive maintenance","Interoperability","Condition monitoring","Scalability","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-20","doi":"https://doi.org/10.54254/2755-2721/2026.32900","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4401719797","name":"Case Studies and Best Practices in Cloud-Based Big Data Analytics for Process Control","source":"openalex","abstract":"In this research paper, case studies and exemplars and lessons learnt in cloud-based big data analytics for process control are reviewed. The paper presents big data, cloud computing and industrial process control system with prospects of enhancing effectiveness, increasing production rates, and effective decision making in the industries. The research in this paper involves a comprehensive literature review of the research topic, and an extension of the analysis to four specific business industries as well as a discussion of architectural elements for cloud-based big data solutions for process control business. It also presents various crucial issues such as data protection, adherence to legal requirements, and compatibility with other systems, giving solutions. In addition, the research compares the effectiveness of cloud-based solutions with on-premise ones and discuss other novelties, including edge computing and artificial intelligence as the tendencies potentially influencing process control. Consequently, the findings of this research can be helpful for both industry practitioners and researchers who aim to optimize process control and organization operation with the help of cloud-based big data analytics","url":"https://doi.org/10.36676/jrps.v13.i5.1462","authors":["Rishabh Rajesh Shanbhag","Rajkumar Balasubramanian","Ugandhar Dasi","Nikhil Singla","Siddhant Benadikar"],"tags":["Big data","Cloud computing","Process (computing)","Data science","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-29","doi":"https://doi.org/10.36676/jrps.v13.i5.1462","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7171676202","name":"Outlook on the Implementation of Life Support System Digital Twins","source":"openalex","abstract":"Current space missions rely heavily on ground controllers to supervise the complex architecture of Life Support Systems (LSS). However, future missions that take humans back to the Moon and send them into deep space towards Mars will experience one-way communication delays of up to 22 minutes. Under such circumstances, immediate ground-based support is not possible anymore, which is why future LSS need to become highly autonomous. A promising approach to enable this autonomy is the integration of Digital Twins (DT) with LSSs. A DT is an exact copy of a physical object in a virtual environment. DTs have the same properties as their physical counterpart and are connected together via a digital thread, through which the DT can control the physical object. By having a DT, multiple LSS simulations can be run in parallel before control inputs and corrective actions are applied to the physical system. This enhances the on-board problem solving capability for astronauts. With this capability, crews can make time-critical decisions independently, which is a crucial factor to enable long-duration deep space missions. At the University of Stuttgart, research on autonomous LSS architectures is underway and a small-scale LSS, consisting of all major subsystems, is currently under development. In order to implement an autonomous LSS-DT, a dedicated control architecture is needed that gathers data from the physical LSS, transfers it to the virtual LSS where it is analysed and simulated, before it transfers new commands back to the physical LSS. The object, orient, decide, act (OODA) loop is proposed as this architecture. This paper presents the data acquisition process within the LSS and outlines potential control optimisation goals for the DT. Additionally, since the DT can take full control of the functions of the LSS, the necessary safeguards to prevent unintended behaviour of the autonomous LSS-DT are discussed.","url":"https://doi.org/10.32865/2346/108939","authors":["Felicitas Leese","Claas Olthoff"],"tags":["Architecture","Object (grammar)","Computer science","Space (punctuation)","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-12","doi":"https://doi.org/10.32865/2346/108939","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4403895703","name":"Autonomous and Electric Vehicles in Urban Living Labs: Smart Mobility Strategies for the Future","source":"openalex","abstract":"The deployment of electric, connected, and autonomous vehicles on public roads presents a significant challenge that can be addressed through previously established frameworks developed globally for implementing these technologies as part of an urban living lab (ULL). This systematic review, based on records from four distinct databases, focuses on projects that have conducted deployments of self-driving technologies in streets within urban environments. The review describes relevant information about various initiatives, including a classification of the stages of development reached according to the urban area covered, safety considerations, and lessons learned for optimal deployment. On-board sensing technology, digital infrastructure, and energy and communication systems emerge as the essential components of a ULL with autonomous vehicles (AVs). A crucial goal for smart cities is ensuring the scalability of large-scale deployments of such ULLs for safe, clean, and future mobility experimentation. This can only be achieved through effective coordination among academia, government, industry, and society to guarantee the successful integration of multiple projects in a unique environment.","url":"https://doi.org/10.3390/en17215399","authors":["Axel A. Mendoza-Armenta","Luis C. Félix‐Herrán","Bartolomeo Silvestri","Andrea C. Valderrama-Solano","Juan C. Tudón-Martínez","Michèle Roccotelli","Jorge de J. Lozoya-Santos"],"tags":["Computer science","Transport engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-30","doi":"https://doi.org/10.3390/en17215399","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7167830721","name":"Digital Twins and Cyber-Physical Systems for Industrial Optimization","source":"openalex","abstract":"Information and communication technology (ICT) is transforming all sectors of the economy with the implementation of the Internet of Things (IoT). By embedding sensors in products, processes, and services, organizations are increasingly equipped to monitor and analyze the performance and quality of their offerings in real time. This growing ability to sense and act on their current state—and more importantly, to predict future behavior—has now been extended into the cyber domain through the use of Digital Twins and Cyber-Physical Systems (CPS). These concepts are being increasingly promoted and deployed in the industrial sector during all the relevant lifecycle stages, addressing activities related to product design, production planning, manufacturing, maintenance, and production/distribution service. The connection between production equipment and cloud-based platforms offers the opportunity not only to improve business performance (such as reducing maintenance costs, increasing energy efficiency, or maximizing production throughput) but also to reduce implementation costs through industrial optimization across all involved organizations. Digital Twins and CPS are traditionally considered in the context of industrial optimization exclusively by academic researchers. Although industrial practitioners have been building and deploying Digital Twins and CPS for many years, peer-reviewed publications are comparatively rare, especially when exploring the complete set of Digital Twin and CPS capabilities. As a result, benefits, key performance indicators, and proof of value are frequently missing for many use cases. Addressing this gap enhances the understanding of the concept and demonstrates its impact across multiple applications. Therefore, the objective is to demonstrate the implementation of Digital Twins and CPS for industrial optimization through a collection of associated use cases.","url":"https://doi.org/10.70593/978-93-7185-542-6_7","authors":["Rajesh Mattaparthi"],"tags":["Context (archaeology)","Production (economics)","Industrial production","Quality (philosophy)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-06","doi":"https://doi.org/10.70593/978-93-7185-542-6_7","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3134564035","name":"Cleaning Corporate Governance","source":"openalex","abstract":"Although empirical scholarship dominates the field of law and finance, much of it shares a common vulnerability: an abiding faith in the accuracy and integrity of a small, specialized collection of corporate governance data. In this Article, we unveil a novel collection of three decades’ worth of corporate charters for thousands of public companies, which shows that this faith is misplaced.\\nWe make three principal contributions to the literature. First, we label our corpus for a variety of firm- and state-level governance features. Doing so reveals significant infirmities within the most well-known corporate governance datasets, including an error rate exceeding eighty percent in the G-Index, the most widely used proxy for “good governance” in law and finance. Correcting these errors substantially weakens one of the most well-known results in law and finance, which associates good governance with higher investment returns. Second, we make our corpus freely available to others, in hope of providing a long-overdue resource for traditional scholars as well as those exploring new frontiers in corporate governance, ranging from machine learning to stakeholder governance to the effects of common ownership. Third, and more broadly, our analysis exposes twin cautionary tales about the critical role of lawyers in empirical research, and the dubious practice of throttling public access to public records.","url":"https://openalex.org/W3134564035","authors":["Jens Frankenreiter","Cathy Hwang","Yaron Nili","Eric L. Talley"],"tags":["Corporate governance","Stakeholder","Corporate law","Scholarship","Accounting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7169954753","name":"STATEMENT OF THE MANAGEMENT PROBLEM IN AGRICULTURE BASED ON A DIGITAL TWIN","source":"openalex","abstract":"The paper proposes a comprehensive system formulation of the task of managing multi-transfer agricultural production as a single organizational and technological system that creates the basis for adaptive management, the development of a simulation model and a predictive management system based on DDDM.","url":"https://openalex.org/W7169954753","authors":["М. Е. Доманова"],"tags":["Task (project management)","Production (economics)","Agriculture","Statement (logic)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2090177568","name":"Estrogen receptor 1 promoter polymorphism and digit ratio in men","source":"openalex","abstract":"OBJECTIVES: The 2D:4D digit ratio, the relative lengths of the index and ring fingers in humans, is a widely used proxy measure for prenatal testosterone exposure. Varying distributions of androgen and estrogen receptors on the second and fourth digits, both of which regulate digit development, appears to be the basis for this effect. Polymorphism in a tandem repeat in the gene coding for the estrogen receptor α (ESR1) in zebra finches (Taeniopygia guttata) not only explains a significant amount of variation in digit ratio but also seems to explain the significant correlation between digit ratio and sexual behavior in these birds. Here, we investigate the effect of TA polymorphism in ESR1 on 2D:4D and aggressive behavior in men. METHODS: We genotyped ESR1 polymorphism in samples collected for a previous study in which we had demonstrated an association between androgen receptor polymorphism and aggression, but not 2D:4D. RESULTS: We found a significant effect of ESR1 TA repeat number on left hand 2D:4D ratio. More TA repeats were associated with higher, more feminized, digit ratios. We found no effect on right hand 2D:4D. We also found an effect of ESR1 polymorphism on aggressive behavior. Greater heterozygosity in TA(n) was associated with lower physical aggression. CONCLUSIONS: Our results suggest that a significant amount of left hand 2D:4D variation and aggressive behavior is due to this variation in ESR1, and that some of the correlation between digit ratio and social behavior is due to pleiotropic effects of ESR1 variation on the two traits.","url":"https://doi.org/10.1002/ajhb.22297","authors":["Kathryn L. Vaillancourt","Natalie L. Dinsdale","Peter L. Hurd"],"tags":["Digit ratio","Androgen receptor","Estrogen receptor alpha","Biology","Estrogen receptor"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2012-07-17","doi":"https://doi.org/10.1002/ajhb.22297","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7157997025","name":"Biodegradable Metals and Corrosion Control: Challenges, Limits and New Opportunities for Innovating in Orthopedic Fixations","source":"openalex","abstract":"Biodegradable metals represent a paradigm shift in orthopedic fixation by providing temporary mechanical support synchronized with bone healing while eliminating long-term complications associated with permanent implants. Conventional bioinert alloys, including stainless steels, Ti-based alloys, and Co-Cr alloys, exhibit high elastic moduli that induce stress shielding and often require secondary removal surgeries. In response, resorbable metallic systems based on Mg, Zn, and Fe have emerged as promising alternatives. Among these, Fe-Mn-C alloys stand out for load-bearing applications due to their exceptional strength-ductility balance governed by twinning-induced plasticity mechanisms, tunable degradation behavior, and intrinsic magnetic resonance imaging compatibility through austenitic phase stabilization. Focusing on Fe-Mn-C alloys, this review critically examines the metallurgical design principles underlying stacking fault energy optimization, phase stability, and Mn-controlled electrochemical behavior. Processing innovations, such as additive manufacturing, are discussed as tools to architecture porosity, refine microstructure, and accelerate degradation by graded designs while preserving mechanical structural support during healing. Hybrid metallic-bioactive systems, surface functionalization strategies, and functionally graded porous architectures were evaluated as advanced approaches to enhance osteointegration and modulate degradability. Despite these advances, significant barriers remain for clinical translation. Persistent discrepancies between in vitro and in vivo degradation rates, often attributed to biological encapsulation and degradation product accumulation, complicate lifetime prediction. Localized corrosion at microstructural heterogeneities such as twin boundaries and phase interfaces can undermine structural reliability under load-bearing conditions. Moreover, predictive multi-physics modeling frameworks capable of coupling electrochemical kinetics, mechanical loading, microstructural evolution, and bone remodeling remain underdeveloped, limiting reliable safety-margin estimation. Regulatory progress is further hindered by the absence of standardized testing protocols specifically tailored to Fe-based biodegradable alloys, including harmonized degradation rate windows, validated corrosion-mechanics coupling methodologies, and clinically defined Mn ion release thresholds. This review aims to discuss whether Fe-based alloys, especially Fe-Mn-C alloys, can transition from promising laboratory materials to clinically viable next-generation orthopedic implants capable of delivering patient-specific, mechanically compatible, and biologically synchronized temporary fixation.","url":"https://doi.org/10.3390/ma19091789","authors":["Abdelhakim Cherqaoui","Carlo Paternoster","Diego Mantovani"],"tags":["Materials science","Corrosion","Stress shielding","Osseointegration","Electromagnetic shielding"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-28","doi":"https://doi.org/10.3390/ma19091789","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4416904924","name":"Review of Applications of Experimental Designs in Wafer Manufacturing","source":"openalex","abstract":"Semiconductor wafer fabrication is one of the most complex and demanding processes in industry. The process involves numerous sequential steps, including photolithography, deposition, etching, and chemical–mechanical polishing (CMP). At advanced process nodes below 5 nanometers, even angstrom-level deviations in parameters such as oxide thickness or critical dimension (CD) can lead to yield degradation or device failure. Traditional single-factor experimental methods are insufficient to capture the inherent multivariate interactions within plasma, thermal, and chemical processes. This review introduces the application of Design of Experiments (DOE) in wafer fabrication and demonstrates that it provides a statistically rigorous framework for addressing these challenges. It enables the simultaneous analysis of multiple variables, quantifying main effects and interactions, and developing predictive models with fewer runs. DOE can accelerate process development, reduce wafer consumption, enhance process robustness, and support applications in processes such as photolithography, CMP, and deposition. Beyond process optimization, DOE, combined with virtual metrology, machine learning, and digital twin technologies, provides a balanced dataset for predictive analytics and real-time control. Its functions encompass proactive monitoring, adaptive formulation optimization, and eco-efficient manufacturing aligned with sustainability goals. As wafer fabs adopt AI-assisted, simulation-driven environments, experimental design remains the foundation for knowledge-intensive, data-driven decision-making. This ensures continuous improvement in yield, manufacturability, and competitiveness in future semiconductor miniaturization processes.","url":"https://doi.org/10.3390/asi8060183","authors":["Hsuan‐Yu Chen","Chiachung Chen"],"tags":["Wafer fabrication","Wafer","Process (computing)","Semiconductor device fabrication","Design of experiments"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-28","doi":"https://doi.org/10.3390/asi8060183","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7171366661","name":"Digital Twin-Based Performance Optimization of Industrial Robots","source":"openalex","abstract":"Industrial robots are fundamental to smart manufacturing, performing high-precision and high-speed tasks with minimal human intervention. However, maintaining optimal performance remains challenging due to equipment degradation, changing production demands, and dynamic operating conditions. Traditional maintenance approaches often fail to detect faults in real time, resulting in increased downtime, maintenance costs, and reduced productivity. Digital Twin (DT) technology addresses these challenges by creating a real-time virtual replica of industrial robots integrated with IIoT, cloud computing, edge analytics, artificial intelligence (AI), machine learning (ML), and cyber-physical systems (CPS).This study proposes a Digital Twin-Based Performance Optimization Framework that combines real-time data acquisition, AI-driven predictive analytics, virtual simulation, and adaptive control within a unified architecture. The framework enables continuous synchronization between physical robots and their virtual twins, supporting predictive maintenance, fault detection, motion optimization, and energy-efficient operation. Machine learning, deep learning, and reinforcement learning algorithms enhance anomaly detection, predictive diagnostics, and adaptive trajectory planning. A hierarchical optimization engine further improves robot kinematics, actuator performance, energy utilization, and cycle-time efficiency, while cloud-edge collaboration ensures scalable and low-latency decision-making. The proposed framework is expected to improve robot availability, predictive maintenance accuracy, energy efficiency, production throughput, and fault diagnosis while reducing operational risks and unplanned downtime. It provides a scalable foundation for intelligent, self-optimizing Industry 4.0 manufacturing systems and next-generation AI-enabled industrial robotics.","url":"https://doi.org/10.67228/30715725/ijiare-2021pii7c1a","authors":["Linda Martinez","Mark Richardson"],"tags":["Predictive maintenance","Robot","Model predictive control","Computer science","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.67228/30715725/ijiare-2021pii7c1a","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3042878232","name":"Role of Solidification in Submerged Entry Nozzle Clogging During Continuous Casting of Steel","source":"openalex","abstract":"Metallurgists are embroiled in a debate on the role of solidification in submerged entry nozzle (SEN) clogging during continuous casting of steel: does clogging originate from solidification, or does clogging cause the solidification? This study tries to clarify this debate. An enthalpy‐based mixture continuum model is used to simulate solidification in a clog structure. The 3D structure of the clog is reconstructed using X‐ray tomography images of an as‐clogged piece in an SEN, and is directly used in the numerical model. The flow and solidification in the open pores/channels of the clog structure are then calculated. The modeling results demonstrate that although solidification does occur deep in the clog structure as the melt flow is stopped, a gap remains between the solidification and clog fronts. This gap signifies an open‐channel clog region, and the clog structure in this region needs to be mechanically strong to withstand the impact of the melt flow; otherwise, fragmentation occurs. The study verifies that the solidification cannot occur before clogging if the molten steel has sufficient superheat and the SEN is properly preheated. A SEN made of an isolating refractory material can postpone the clogging, thereby extending its service life.","url":"https://doi.org/10.1002/srin.202000230","authors":["Hadi Barati","Menghuai Wu","Abdellah Kharicha","Andreas Ludwig"],"tags":["Clogging","Nozzle","Superheating","Materials science","Mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-16","doi":"https://doi.org/10.1002/srin.202000230","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W1494722171","name":"Identification of novel insulin mimetic drugs by quantitative total internal reflection fluorescence ( TIRF ) microscopy","source":"openalex","abstract":"BACKGROUND AND PURPOSE: Insulin stimulates the transport of glucose in target tissues by triggering the translocation of glucose transporter 4 (GLUT4) to the plasma membrane. Resistance to insulin, the major abnormality in type 2 diabetes, results in a decreased GLUT4 translocation efficiency. Thus, special attention is being paid to search for compounds that are able to enhance this translocation process in the absence of insulin. EXPERIMENTAL APPROACH: Total internal reflection fluorescence (TIRF) microscopy was applied to quantify GLUT4 translocation in highly insulin-sensitive CHO-K1 cells expressing a GLUT4-myc-GFP fusion protein. KEY RESULTS: Using our approach, we demonstrated GLUT4 translocation modulatory properties of selected substances and identified novel potential insulin mimetics. An increase in the TIRF signal was found to correlate with an elevated glucose uptake. Variations in the expression level of the human insulin receptor (hInsR) showed that the insulin mimetics identified stimulate GLUT4 translocation by a mechanism that is independent of the presence of the hInsR. CONCLUSIONS AND IMPLICATIONS: Taken together, the results indicate that TIRF microscopy is an excellent tool for the quantification of GLUT4 translocation and for identifying insulin mimetic drugs.","url":"https://doi.org/10.1111/bph.12845","authors":["Peter Lanzerstorfer","Verena Stadlbauer","Lilia A. Chtcheglova","Renate Haselgrübler","Daniela Borgmann","Jürgen Wruss","Peter Hinterdorfer","Klaus Schröder","Stephan Winkler","Otmar Höglinger","Julian Weghuber"],"tags":["GLUT4","Total internal reflection fluorescence microscope","Chromosomal translocation","Insulin","Glucose transporter"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2014-07-15","doi":"https://doi.org/10.1111/bph.12845","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7125790833","name":"A Review of AI-Driven Engineering Modelling and Optimization: Methodologies, Applications and Future Directions","source":"openalex","abstract":"Engineering is suffering a significant change driven by the integration of artificial intelligence (AI) into engineering optimization in design, analysis, and operational efficiency across numerous disciplines. This review synthesizes the current landscape of AI-driven optimization methodologies and their impacts on engineering applications. In the literature, several frameworks for AI-based engineering optimization have been identified: (1) machine learning models are trained as objective and constraint functions for optimization problems; (2) machine learning techniques are used to improve the efficiency of optimization algorithms; (3) neural networks approximate complex simulation models such as finite element analysis (FEA) and computational fluid dynamics (CFD) and this makes it possible to optimize complex engineering systems; and (4) machine learning predicts design parameters/initial solutions that are subsequently optimized. Fundamental AI technologies, such as artificial neural networks and deep learning, are examined in this paper, along with commonly used AI-assisted optimization strategies. Representative applications of AI-driven engineering optimization have been surveyed in this paper across multiple fields, including mechanical and aerospace engineering, civil engineering, electrical and computer engineering, chemical and materials engineering, energy and management. These studies demonstrate how AI enables significant improvements in computational modelling, predictive analytics, and generative design while effectively handling complex multi-objective constraints. Despite these advancements, challenges remain in areas such as data quality, model interpretability, and computational cost, particularly in real-time environments. Through a systematic analysis of recent case studies and emerging trends, this paper provides a critical assessment of the state of the art and identifies promising research directions, including physics-informed neural networks, digital twins, and human–AI collaborative optimization frameworks. The findings highlight AI’s potential to redefine engineering optimization paradigms, while emphasizing the need for robust, scalable, and ethically aligned implementations.","url":"https://doi.org/10.3390/a19020093","authors":["Jian-Ping Li","Nereida Polovina","Savas Konur"],"tags":["Computer science","Artificial neural network","Engineering optimization","Artificial intelligence","Multidisciplinary design optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-23","doi":"https://doi.org/10.3390/a19020093","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7166827480","name":"Analysis of digital twin usage in supply chain management","source":"openalex","abstract":"The paper analyzes general requirements and industry-specific characteristics of creation, implementation, and operation of supply chain digital twins based on a review of international and domestic scientific publications. The following key characteristics of supply chain digital twins are highlighted: multi-layer network architecture, the need for integration with corporate systems, handling incomplete and asynchronous data, multi-criteria optimization due to conflicting interests of participants, increased demands on network infrastructure, and ensuring end-to-end transparency across the entire supply chain. It is noted that practical experience of creating supply chain digital twins is limited and concentrated primarily in manufacturing, while industry-specific requirements create specific challenges for retail, energy, construction, agriculture, and other industries. Directions for further research and practical solutions for ensuring that digital twin systems meet identified general requirements and industry-specific characteristics are proposed.","url":"https://doi.org/10.47813/rosnio.5.2026.19.3013","authors":["В. В. Павлов"],"tags":["Supply chain","Key (lock)","Supply chain management","Transparency (behavior)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.47813/rosnio.5.2026.19.3013","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7169587891","name":"Application of digital twin technology for monitoring residential buildings","source":"openalex","abstract":"The rapid digitalization of the construction industry has led to the development of advanced technologies for monitoring and managing the condition of buildings and infrastructure. One of the most promising approaches is Digital Twin technology, which creates a dynamic digital representation of a physical object by integrating digital models with real-time monitoring data. This study investigates the application of Digital Twin technology for monitoring residential buildings in Uzbekistan, a region characterized by high seismic activity. The proposed framework integrates Building Information Modeling (BIM), sensor-based Structural Health Monitoring (SHM), and cloud-based data analytics to provide continuous assessment of structural performance. The methodology includes the development of a detailed BIM model of the building, the installation of a network of structural and environmental sensors, and the integration of collected data into a digital twin platform for real-time analysis and visualization. The system enables monitoring of vibration characteristics, deformation, and environmental effects on structural elements. The results demonstrate that the integration of digital models, sensor networks, and artificial intelligence technologies allows early detection of structural anomalies, supports predictive maintenance strategies, and improves the reliability and safety of residential buildings. The proposed approach can serve as a technological basis for developing digital seismic passports of buildings and implementing smart infrastructure monitoring systems in Uzbekistan and other seismically active regions","url":"https://doi.org/10.56143/3030-3893-2026-2s-36-39","authors":["S. Shaumarov","D. Nurmukhamedova"],"tags":["Reliability (semiconductor)","Systems engineering","Engineering","Building information modeling","Structural health monitoring"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-10","doi":"https://doi.org/10.56143/3030-3893-2026-2s-36-39","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2112362905","name":"Why combine diet and physical activity in the same international research society?","source":"openalex","abstract":"Research in diet and physical activity in the U.S. started in very different traditions, with behavioral science input being uneven in their development. Investigators and policy makers in Europe have recognized the complementarity of diet and physical activity and incorporated them both under the label Public Health Nutrition. Joining these disciplines internationally offers the opportunity to benefit all, since the problems addressed are human, not specific to any one country.In regard to why combine diet and physical activity, at the biological level, there is reason to believe that diet and physical activity working in concert can remodel physiological structures and processes toward healthful ends. The diet and physical activity behaviors themselves vary in characteristics and are similar in others. The behavioral science components of these two disciplines face similar problems, and can learn from the advances made by the other, in the areas of measurement, correlates and intervention. By working together, knowledge will be enhanced from uncovering complementary and interactive relationships between diet and physical activity, and in relation to disease risks, that may result in designing more effective and efficient interventions and policies.Since the behavioral sciences are at a disadvantage in comparison to the biological sciences in terms of scientific advances and thereby capturing the popular imagination for solutions to health problems, we must redouble our efforts to enhance funding for behavioral research in regard to diet and physical activity and to make the research advances necessary to prevent the medicalizing of essentially social and behavioral problems. Nutrition and physical activity should most effectively do this together.","url":"https://doi.org/10.1186/1479-5868-1-2","authors":["Tom Baranowski"],"tags":["Clinical nutrition","Behavioural sciences","Physical activity","Medicine","Gerontology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2004-02-03","doi":"https://doi.org/10.1186/1479-5868-1-2","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4403729009","name":"Development of BIM‐Based Tunnel Information Modeling Prototype for Tunnel Design","source":"openalex","abstract":"Designing and modeling tunnels are a complex and labor‐intensive process, exacerbated by the involvement of multiple designers and software applications to accommodate diverse geometric and subsurface conditions. This often results in reduced efficiency, productivity, and increased potential for errors. To address these challenges, the authors implemented a strategy integrating building information modeling and mathematical relationships governing tunnel geometries and rock support elements. Using Autodesk Revit, they developed a prototype that allows designers to model tunnels aligned with ground conditions without reliance on multiple software applications. This streamlined approach enhances productivity, simplifies complexities, and improves accuracy in tunnel design and review processes, including quantity take‐offs. A case study comparing the prototype with conventional methods demonstrated significant improvements in efficiency, productivity, and design accuracy. This research offers practical benefits to stakeholders in tunnel projects, optimizing work quality, and outcomes in tunnel design and construction.","url":"https://doi.org/10.1155/2024/8118578","authors":["Qazi Muhammad Waleed","Rai Waqas Azfar","Abubakar Sharafat","Waqas Arshad Tanoli","Muhammad Umer Zubair","Hisham Jahangir Qureshi"],"tags":["Tunnel construction","Structural engineering","Geotechnical engineering","Civil engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1155/2024/8118578","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3201254113","name":"High heritability of telomere length and low heritability of telomere shortening in wild birds","source":"openalex","abstract":"Abstract Telomere length and telomere shortening predict survival in many organisms. This raises the question of the contribution of genetic and environmental effects to variation in these traits, which is still poorly known, particularly for telomere shortening. We used experimental (cross‐fostering) and statistical (quantitative genetic “animal models”) means to disentangle and estimate genetic and environmental contributions to telomere length variation in pedigreed free‐living jackdaws ( Corvus monedula ). Telomere length was measured twice in nestlings, at ages 4 ( n = 715) and 29 days ( n = 474), using telomere restriction fragment (TRF) analysis, adapted to exclude interstitial telomeric sequences. Telomere length shortened significantly over the nestling period (10.4 ± 0.3 bp day –1 ) and was highly phenotypically ( r P = 0.95 ± 0.01) and genetically ( r G > 0.99 ± 0.01) correlated within individuals. Additive genetic effects explained a major part of telomere length variation among individuals, with its heritability estimated at h 2 = 0.74 on average. We note that TRF‐based studies reported higher heritabilities than qPCR‐based studies, and we discuss possible explanations. Parent–offspring regressions yielded similar heritability estimates for mothers and fathers when accounting for changes in paternal telomere length over life. Year effects explained a small but significant part of telomere length variation. Heritable variation for telomere shortening was low ( h 2 = 0.09 ± 0.11). The difference in heritability between telomere length (high) and telomere shortening (low) agrees with evolutionary theory, in that telomere shortening has stronger fitness consequences in this population. Despite the high heritability of telomere length, its evolvability, which scales the additive genetic variance by mean telomere length, was on average 0.48%. Hence, evolutionary change of telomere length due to selection is likely to be slow.","url":"https://doi.org/10.1111/mec.16183","authors":["Christina Bauch","Jelle J. Boonekamp","Peter Korsten","G. Mulder","Simon Verhulst"],"tags":["Telomere","Heritability","Biology","Genetics","Genetic variation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-17","doi":"https://doi.org/10.1111/mec.16183","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7170158673","name":"Digital Twin Approach to Accessibility Assessment of Public Transport","source":"openalex","abstract":"Abstract. Accessibility assessment of public transport systems is essential for ensuring that infrastructure remains inclusive for individuals with disabilities or mobility impairments. However, the sheer size of public transport networks poses a significant challenge for the physical observation and assessment of accessibility. This paper presents an efficient approach to the accessibility assessment of tram transport based on simulation within a digital twin environment. We propose a novel framework that integrates advanced data acquisition and processing steps, including mobile mapping of the tram routes, determination of the deployment zone of the mobility aid lift (MAL), and the assessment of tram accessibility by simulating the MAL deployment in the digital twin. We present a case study of three tram routes in Melbourne, Australia, which demonstrates that the digital twin provides a practical and reliable tool for assessing tram accessibility. Our results also highlight the potential of the proposed digital twin approach for assessing the accessibility of other modes of public transport, such as train networks and bus stations.","url":"https://doi.org/10.5194/isprs-archives-xlix-b2-2026-1245-2026","authors":["Kourosh Khoshelham","J Zhang","Marko Radanovic","Zizhao Li","Shuyu Zhu","Yuan Zhao","Martin Tomko"],"tags":["Public transport","Software deployment","Transport engineering","Computer science","Lift (data mining)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"https://doi.org/10.5194/isprs-archives-xlix-b2-2026-1245-2026","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7127825461","name":"Multi-layer neuropsychological digital-twin pipeline – illustrative datasets","source":"openalex","abstract":"Repository for the manuscript submitted to \"Behavior Research Methods\" (Granato et al, 2026; \"An automated pipeline for...\")","url":"https://openalex.org/W7127825461","authors":["Giovanni Granato"],"tags":["Pipeline (software)","Computer science","Data mining","Artificial intelligence","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7172580100","name":"Simulation Methods and Digital Twin in Refrigerant Compressor Development","source":"openalex","abstract":"Die Fahrzeugklimatisierung in der Automobilindustrie wird heute von synthetischen Kältemitteln beherrscht. Die mit dem Einsatz dieser flourierten Kältemittel verbundenen, negativen Umweltauswirkungen sind weithin bekannt. Um die Immission von PFAS (Per-/Polyfluorierte Alkylverbindungen, sog. „Ewigkeitschemikalien“) in die Umwelt zu vermeiden, findet sowohl in der Technologie als auch in der Gesetzgebung ein Umdenken statt und die Fahrzeugklimatisierung wird auf natürliche Kältemittel wie R744 (CO2) umgestellt. Während CO2-Emissionen in die Atmosphäre klimaschädlich sind und daher häufig sehr negativ assoziiert werden, ist es im Bereich der Klimatisierung von Fahrzeugen tatsächlich das umwelt- und klimafreundlichste Kältemittel überhaupt. Es ist nicht brennbar und erlaubt dadurch eine hohe Betriebssicherheit. Weiterhin ermöglicht der Umstieg auf natürliche Kältemittel die Mehrfachnutzung des Kältemittelkreises als Wärmepumpe, was die Reichweite batterieelektrischer Fahrzeuge im Winter steigert. Den genannten Vorteilen gegenüber erfordern die hohen Drücke im Betriebsbereich von R744 und die extremen Anforderungen an Leistungsfähigkeit und Leistungsdichte im Automotive-Bereich innovative Lösungen. Diese Herausforderung hat thyssenkrupp Presta Dynamic Components angenommen und durch die Entwicklung eines effizienten und robusten elektrischen Kältemittelverdichters gemeistert. Den hohen interdisziplinären Anforderungen in den Bereichen Thermodynamik, Mechanik, NVH, elektrischer Antrieb und Leistungselektronik begegnet thyssenkrupp durch fachliche Expertise und moderne Methoden. In der Entwicklung bauen analytische und numerische Modelle unterschiedlichster Disziplinen aufeinander auf und wechselwirken miteinander. Der so entstandene digitale Zwilling wurde durch den Abgleich mit zahlreichen Prototypen in zehntausenden Betriebsstunden im Testing validiert und beweist tagtäglich seinen Wert in den Bereichen konstruktive Optimierung, Neuentwicklung, Versuchsplanung und nicht zuletzt im Kontakt mit Kunden. Der Beitrag gibt einen Überblick zu den Eigenschaften des Kältemittelverdichters sowie einen Einblick in die modellgestützte Entwicklung bis hin zum serienreifen Produkt.","url":"https://openalex.org/W7172580100","authors":["Robert Scherzer","Carsten Ulrich","Sören Gelke"],"tags":["Mechanical engineering","Humanities","Engineering","Gas compressor","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-04","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7138217123","name":"Operationalizing the Industrial Metaverse: Strategies, Challenges, and Opportunities for the Sustainable Factory of the Future","source":"openalex","abstract":"The Industrial Metaverse (IM) integrates digital twins, IoT, AI, and immersive technologies to create interconnected, data-driven production environments. While its potential for enhancing efficiency and collaboration is widely acknowledged, its operationalization, particularly in alignment with sustainability goals, remains underexplored. This paper investigates how manufacturing firms transition from isolated pilots to strategic adoption of IM technologies, using a Digital Maturity Model as an analytical lens. Drawing on two industrial case studies, a university-based smart production lab, and expert roundtable discussions, we identify key barriers such as interoperability, governance, and skills gaps, alongside opportunities for circular material flows and resource optimization. Based on these insights, we propose three pathways for implementation: (1) digital maturity and Infrastructure Readiness, (2) organizational transformation for metaverse-enabled workflows, and (3) strategic value realization through sustainable business models. The study contributes a roadmap for managers and policymakers seeking to leverage the IM as a catalyst for resilience, circularity, and long-term competitiveness in smart manufacturing ecosystems.","url":"https://doi.org/10.3390/su18062941","authors":["Brian Vejrum Waehrens","Ulrich Berger","Bjoern Christian Dueholm","Astrid Heidemann Lassen","Ole Lehrmann Madsen"],"tags":["Operationalization","Leverage (statistics)","Sustainability","Industry 4.0","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"https://doi.org/10.3390/su18062941","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7203566126","name":"Explainable and Adaptive Intrusion Detection in Digital Twin Environments","source":"openalex","abstract":"The rapid proliferation of Internet of Things (IoT) technologies has transformed the computing landscape, placing unprecedented demands on traditional cloud-centric architectures.The massive volume of distributed data, coupled with stringent latency and reliability requirements, has accelerated the adoption of edge-oriented computing paradigms.Within this context, Fog and Mist computing have become fundamental components of the edge computing system, enabling computation to be progressively shifted from centralized cloud platforms toward network edges and even directly onto end devices.This keynote examines the challenges and opportunities associated with orchestrating computational resources across the cloud-fog-mist continuum, with particular emphasis on scheduling mechanisms for real-time and mission-critical IoT applications.It reviews contemporary approaches that balance latency, resource utilization, energy efficiency, and quality of service while satisfying application deadlines in highly dynamic environments.The presentation also discusses emerging technologies, including adaptive scheduling, highlighting the key research challenges that will shape next-generation edge computing infrastructures.","url":"https://doi.org/10.1109/ficloud70576.2026.00016","authors":["Ohood Alharbi","Riaz Ahmed Shaikh","Raheel Hassan","Rameez Asif"],"tags":["Computer science","Cloud computing","Distributed computing","Edge computing","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.1109/ficloud70576.2026.00016","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7147728527","name":"DIGITAL TWIN TECHNOLOGY IN URBAN DEVELOPMENT AND SMART CITIES","source":"openalex","abstract":"Digital twin technology is rapidly emerging as a transformative force in urban development and the construction of smart cities. This paper explores the potential applications and benefits of digital twin technology in improving urban infrastructure, monitoring real-time data, optimizing resources, and enhancing sustainability. By creating virtual replicas of physical urban environments, cities can optimize planning, development, and operational efficiency. This article discusses the key features of digital twins, its integration with other technologies such as IoT and AI, and its impact on urban resilience, efficiency, and sustainability. A comprehensive analysis of its implementation challenges and future opportunities is also provided, with an emphasis on the potential for cities in Pakistan to adopt this technology.","url":"https://doi.org/10.71465/ijictt46","authors":["H.A. Khan"],"tags":["Transformative learning","Key (lock)","Urban planning","Smart city","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-31","doi":"https://doi.org/10.71465/ijictt46","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4400010055","name":"Review of Small Modular Reactors: Challenges in Safety and Economy to Success","source":"openalex","abstract":"Abstract This paper explores the paradigm shift in nuclear energy generation from large, centralized nuclear power plants towards small modular reactors (SMRs), in response to the evolving economic, safety, and environmental challenges faced by the nuclear industry. For over 70 years, nuclear power has been a cornerstone of electricity generation, offering a low-carbon, reliable, and cost-effective solution. However, the traditional model of large-scale nuclear reactors has encountered significant barriers, including high financial risks, stringent safety concerns, and a lack of adaptability to smaller electrical grids, and changing energy markets. With over 70 types of SMRs currently under development globally, this study reviews several prominent models to assess their general characteristics and potential advantages. Through simple physical and economic models, the paper evaluates the impact of reducing reactor size on efficiency, safety, and cost, highlighting the shared traits and innovations across different SMR designs. The findings indicate that SMRs could address many of the limitations of conventional nuclear power, offering more flexible, scalable, and economically viable options for electricity generation. This paper finally tries to identify key technologies and strategic considerations essential for their successful deployment in a rapidly transforming global energy landscape.","url":"https://doi.org/10.1007/s11814-024-00207-0","authors":["Jeong Ik Lee"],"tags":["Modular design","Business","Computer science","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-25","doi":"https://doi.org/10.1007/s11814-024-00207-0","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7167888127","name":"An Evaluation of Synchronization and Optimization Techniques in Digital Twin Networks","source":"openalex","abstract":"Digital Twin Network (DTN) technology has emerged as a promising approach for next-generation wireless and industrial systems by enabling real-time interaction between physical systems and their virtual counterparts. As modern communication networks continue to evolve through the rapid expansion of the Internet of Things (IoT), Industry 4.0, and the transition toward 6G, efficient network monitoring, management, and optimization have become increasingly challenging. DTNs address these challenges by providing high-fidelity digital replicas capable of supporting real-time monitoring, predictive maintenance, performance evaluation, and intelligent decision-making. This paper presents a comprehensive review and comparative analysis of Digital Twin Networks, focusing on synchronization techniques, optimization methodologies, and major application domains. Various synchronization approaches, including closed-loop feedback control, edge-cloud collaboration, and distributed learning updates, are examined and compared based on their functionality, advantages, and limitations. Furthermore, optimization techniques such as Deep Reinforcement Learning (DRL), Federated Learning (FL), blockchain-based optimization, transfer learning, and incentive mechanisms are analyzed for their effectiveness in improving network performance, resource utilization, and operational efficiency. The study also explores the adoption of DTNs across smart manufacturing, intelligent transportation systems, healthcare, smart cities, and 6G wireless networks. Through a detailed synthesis of current literature, the review identifies several persistent challenges that continue to hinder large-scale DTN deployment, including synchronization latency, security and privacy vulnerabilities, scalability constraints, interoperability issues, and high computational resource requirements. The findings provide valuable insights into current research trends and highlight key directions for future DTN development.","url":"https://doi.org/10.56975/ijvra.v4i7.708892","authors":["Dr. J JOSELIN","AZA ZYN T","ARYA NANDHIKA P V"],"tags":["Computer science","Interoperability","Synchronization (alternating current)","Reinforcement learning","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.56975/ijvra.v4i7.708892","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7168014565","name":"BIM-enabled Governance and Digital Twins for the Sustainable Operation and Maintenance of Infrastructure in Emerging Economies: A Systematic Review with a Peruvian Contextualisation Case","source":"openalex","abstract":"Section A — Administrative Information A1. Title OSF field / guidance: OSF “Title” field. BIM-enabled Governance and Digital Twins for the Sustainable Operation and Maintenance of Infrastructure in Emerging Economies: A Systematic Review with a Peruvian Contextualisation Case. A2. Authors / Contributors OSF field / guidance: Add as project contributors; paste affiliation in the description. José Carlos Collins Camones — Doctorado en Gobernanza y Gestión Pública, Escuela de Posgrado, Universidad César Vallejo (UCV), Lima, Peru. Email: jcollinsc@ucvvirtual.edu.pe. Role: sole reviewer (screening, extraction, and appraisal). A3. Anticipated / actual start and end dates OSF field / guidance: OSF asks for a project timeframe. Search executed and databases last accessed: 30 June 2026 [adjust to your actual export date]. Screening, extraction, and quality appraisal: June–July 2026. Registration submitted prior to public dissemination of results. A4. Funding This research received no external funding. A5. Conflicts of interest The author declares no conflict of interest. A6. Registration category / type of review Systematic literature review reported in accordance with the PRISMA 2020 statement. Qualitative thematic synthesis; no meta-analysis. Note: this protocol is registered concurrently with review conduct; the registration date and any deviations are disclosed transparently. Section B — Introduction & Rationale B1. Background and rationale OSF field / guidance: OSF “Description” or PRISMA-P item 6. The operation and maintenance (O&M) phase dominates the whole-life cost and environmental footprint of public infrastructure and accounts for a large share of the built environment’s energy- and carbon-related impacts, yet it remains the least digitally governed stage of the asset lifecycle — particularly in emerging economies. BIM and digital twins are increasingly mature technologies, but their contribution to sustainable O&M is constrained less by technology than by governance arrangements: information requirements, standards, mandates, data ownership, capability, and public-value considerations. The governance dimension is the least-covered strand of the literature, and an emerging-economy public-sector perspective is largely absent. Peru — with a large infrastructure gap, low and uneven BIM adoption, chronic public-works maintenance failures, and an O&M-thin national BIM mandate (Plan BIM Perú) — exemplifies this challenge and serves as the contextualisation case. B2. Objectives and research questions OSF field / guidance: PRISMA-P item 7. Paste the four research questions: RQ1. What is the state of the art (2023–2026) of BIM and digital twins for the O&M phase of public infrastructure? RQ2. How is governance — across user, firm, project, and policy levels — conceptualised and enacted in this literature? RQ3. Which sustainability outcomes are pursued and evidenced? RQ4. How can these strands be integrated into a governance framework that is transferable to emerging economies and illustrated against the Peruvian case? Section C — Methods C1. Eligibility criteria OSF field / guidance: PRISMA-P item 8. Paste the table below. Dimension Inclusion Exclusion Topic BIM and/or digital twins applied to O&M / facility or asset management Design/construction-only focus; no O&M relevance Thematic coverage ≥3 of 4 blocks present, including technology and O&M; ≥1 governance and ≥1 sustainability signal Fewer than three blocks; no governance or no sustainability dimension Period 2023–2026 (main search) Published before 2023 (except complementary contextualisation anchors) Source & type Peer-reviewed journal articles and reviews indexed in Scopus/WoS; English Editorials, notes, non-peer-reviewed and non-English items Context Any setting; emerging-economy/Peru relevance flagged via complementary search — C2. Information sources OSF field / guidance: PRISMA-P item 9. Two multidisciplinary citation databases: Scopus and Web of Science Core Collection.","url":"https://doi.org/10.17605/osf.io/dr4mz","authors":["José Carlos Collins Camones"],"tags":["Corporate governance","Asset (computer security)","Field (mathematics)","Systematic review","Checklist"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-08","doi":"https://doi.org/10.17605/osf.io/dr4mz","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7148241806","name":"Digital Twin Based Microgrid Monitoring And Control System","source":"openalex","abstract":"The increasing need for energy systems that provide dependable and sustainable energy has caused a surge in the growth of microgrids utilizing renewable energy sources. However, there are still many difficulties related to the implementation of distributed energy resources, such as real-time monitoring and effective control of energy resources. In response to those difficulties, the developed system is a Digital Twin Based Microgrid Monitoring and Control System that uses an ESP32 controller with Wi-Fi capability to connect all components of the microgrid to a cloud-based interface (as the digital twin) and a MATLAB environment for analysis and visualization of real-time data received from the monitored electrical parameters such as voltages, currents and power. The Digital Twin model represents (virtually) the physical microgrid system and therefore allows the user to evaluate the system performance, this can include detecting faults and developing optimized methods for controlling any of the distributed energy resources. As a result of using the Digital Twin Based Microgrid Monitoring and Control System, the microgrid will be more reliable, the operating losses will be less and it will support the implementation of smart grids for future sustainable energy management solutions.","url":"https://doi.org/10.5281/zenodo.19384084","authors":["R.Ganeshram","V.Kamal Govindhan","R.Sri Hari Prasath","Mr.P.Tamilnesan"],"tags":["Microgrid","Control engineering","Renewable energy","Controller (irrigation)","Energy management system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.19384084","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7167488948","name":"Developing Digital Twins with SPADE for Autonomous Traffic Control","source":"openalex","abstract":"In this paper, we introduce SPADE, a framework engineered for building Digital Twins through Multi-Agent Systems. The architecture is inherently scalable and distributed, aligning perfectly with the demands of modern Digital Twin environments. We implement the Agents and Artifacts meta-model via the SPADE Artifacts extension, which serves as a structured interface connecting autonomous agents with their physical system counterparts. To demonstrate the framework’s efficacy, we detail a case study involving urban traffic management in Valencia, Spain. In this implementation, we model 386 street segments as individual agents responsible for managing traffic flows and coordinating redistribution efforts. The research delineates a MAS-based communication strategy spanning the entire network and introduces a consensus algorithm specifically designed to manage traffic rerouting when a street is closed. Finally, we present results from a series of experimental trials and evaluate the system’s broader potential. By synthesizing diverse data sources and providing an interactive dashboard for visualizing network conditions, this work demonstrates how SPADE can serve as a robust foundation for Digital Twin development, illustrating its potential for real-world urban applications through a conceptual implementation grounded in open sensor data.","url":"https://doi.org/10.3390/systems14070779","authors":["Aarón Raya","Manel Soler","Javier Palanca","Vicente Julián","Vicente Botti"],"tags":["Computer science","Scalability","Distributed computing","Interface (matter)","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-04","doi":"https://doi.org/10.3390/systems14070779","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7148730585","name":"ВИКОРИСТАННЯ PROCESS MINING У МОДЕЛЮВАННІ ТА АНАЛІЗІ БІЗНЕС-ПРОЦЕСІВ ПІДПРИЄМСТВА","source":"openalex","abstract":"У статті досліджено сучасні підходи до моделювання та аналізу бізнеспроцесів підприємств, зокрема технологію BPMN 2.0 та методологію process mining.Розглянуто особливості інтеграції формалізованих моделей процесів із фактичними даними виконання, а також оцінено можливості оптимізації та цифровізації бізнес-процесів на основі аналітики даних.Проаналізовано сучасні підходи до моделювання бізнес-процесів.Досліджено технологію BPMN 2.0 як стандарт формалізації бізнес-процесів.Вивчено концепцію та методологію process mining.Зокрема, розглянуто ключові етапи: process discovery, conformance checking, enhancement.Проаналізовано інструментальні засоби та алгоритми process mining.Досліджено можливості інтеграції BPMN та process mining: розроблено методологію перетворення логів подій у формалізовану модель процесу та визначено відхилення між нормативними та фактичними моделями процесів.Охарактеризовано інструментальні засоби аналізу: професійні платформи: Celonis, Disco, ProM.Акцент зроблено на використанні систем бізнес-аналітики для візуалізації та моніторингу процесів.Обґрунтовано інтеграцію з корпоративними ІТ-системами для автоматичного збору даних.Розглянуто використання Digital Twin для симуляції сценаріїв.Зазначено поєднання process mining із штучним інтелектом для прогнозування процесів.Підкреслено важливість автоматичного оновлення BPMN-моделей у режимі реального часу.The article explores modern approaches to modeling and analyzing business processes of enterprises, in particular BPMN 2.0 technology and process mining methodology.The features of integrating formalized process models with actual execution data are considered, and the possibilities of optimizing and digitizing business processes based on data analytics are assessed.The purpose of the article is to develop theoretical and methodological principles and applied tools for using process mining in modeling and analyzing business processes of an enterprise based on integrating BPMN technology with modern digital solutions (Digital Twin, AI, BI systems), as well as to substantiate the economic and operational efficiency of implementing an optimized \"to-be\" process model in the context of digital transformation.The following methods were used in the study: system analysis; process approach; process mining methods (process discovery, conformance checking, enhancement); modeling of business processes in BPMN notation; comparative analysis of \"as-is\" and \"to-be\" models; economic analysis of efficiency; methods of data visualization and interpretation; elements of statistical analysis and forecasting.Modern approaches to business process modeling are analyzed.The BPMN 2.0 technology is studied as a standard for formalizing business processes.The concept and methodology of process mining are studied.In particular, the key stages are considered: process discovery, conformance checking, enhancement.Process mining tools and algorithms are analyzed.The possibilities of integrating BPMN and process mining are investigated: a methodology for converting event logs into a formalized process model is developed and deviations between normative and actual process models are identified.Analysis tools are characterized: professional platforms: Celonis, Disco, ProM.The emphasis is placed on the use of business analytics systems for visualization and monitoring of processes.Integration with corporate IT systems for automatic data collection is justified.The use of Digital Twin for scenario simulation is considered.The combination of process mining with artificial intelligence for process forecasting is indicated.The importance of automatic updating of BPMN models in real time is emphasized.The conclusions show that the use of process mining methodology in combination with BPMN technology provides a qualitatively new level of analysis and management of enterprise business processes.Future research should be aimed at deepening the methodological and applied aspects of integrating process minin","url":"https://doi.org/10.32702/2307-2105.2026.3.156","authors":["В. В. Зубова"],"tags":["Process (computing)","Computer science","Work (physics)","Context (archaeology)","Process mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-20","doi":"https://doi.org/10.32702/2307-2105.2026.3.156","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4285299980","name":"Trajectory Prediction of Workers to Improve AGV and AMR Operation based on the Manufacturing Schedule","source":"openalex","abstract":"In semi-automated manufacturing, an increasing amount of intelligent mobile robots operate in close proximity to human workers. Considering future positions of humans allows to further improve the efficiency in terms of throughput of Autonomous Mobile Robots (AMR) and Automated Guided Vehicles (AGV). The longer the prediction horizon, i.e. the more position values of humans can be predicted in the near and distant future, the more a robot can adjust its route accordingly and optimize the process. This paper discusses the challenges of human motion trajectory prediction in manufacturing and presents a schedule-based approach that uses real-time schedule data obtained from Manufacturing Execution Systems (MES). Schedule-awareness in human motion trajectory prediction extends semantic mapping approaches and effectively reduces the number of probable destinations by considering which process steps are next for the currently produced goods. With a reduced set of destinations, the performance of forward-planning trajectory prediction can be improved. For evaluation, a commercial MES is used together with an Ultra-wideband-based Real-Time Locating System (RTLS) for obtaining position data of humans. On this basis, a naive Bayes classifier utilizes MES-schedule and real-time position data to predict human motion intentions. Abstract activity modeling ensures that only a few training data sets are required for deployment, thus making this approach suitable for rapidly changing manufacturing environments such as in flexible manufacturing.","url":"https://doi.org/10.1016/j.procir.2022.04.046","authors":["Andreas Löcklin","Falk Dettinger","Maurice Artelt","Nasser Jazdi","Michael Weyrich"],"tags":["Trajectory","Schedule","Computer science","Real-time computing","Real-time locating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.04.046","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7128366705","name":"The Role of Digital Twin for Space and Remote Terrestrial Construction","source":"openalex","abstract":"ABSTRACT Digital twin technology, continuously updated, high‐fidelity virtual replicas of physical assets, has matured rapidly in aerospace and is now poised to transform construction in extreme environments on Earth and beyond. This Opinion Article synthesises recent research, global case studies, and policy developments to argue that digital twins are pivotal for planning, autonomous execution, and predictive infrastructure maintenance on the Moon, Mars, the deep ocean, polar regions, and remote deserts. By coupling real‐time sensor data with physics‐based and AI‐driven simulation, twins enable risk‐free prototyping, swarm‐robot coordination, and lifecycle resilience while reducing environmental footprints. We highlight strategic implications, data‐governance frameworks, workforce upskilling, and federated twin ecosystems and forecast emerging trends such as AI‐enhanced autonomy, XR interfaces, and smart‐material feedback loops. The article aims to inform multidisciplinary researchers, engineers, and policymakers by advocating the early adoption of digital twin standards to accelerate sustainable resilient construction in the most challenging frontiers.","url":"https://doi.org/10.1049/dgt2.70027","authors":["Ehsan Noroozinejad Farsangi"],"tags":["Multidisciplinary approach","Resilience (materials science)","Computer science","Aerospace","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/dgt2.70027","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4362653565","name":"Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion","source":"openalex","abstract":"As the number of substations continues to increase globally and the market demand continues to rise, the current workload of maintenance and daily operation of substations in power grids cannot meet the current demand if only relying on manual work, and the design and implementation of intelligent safety control solutions for substations is imperative. Therefore, this paper proposes a joint safety control system and model analysis for substations based on multi-source heterogeneous data fusion. Firstly, a three-dimensional visualization substation efficient interactive operation platform is realized, which realizes the functions of substation scene roaming, system login, information management, equipment parameters, status viewing and operation ticket pushing; after that, a variety of intelligent hardware devices for data collection, such as multi-dimensional terminal sensors, intelligent wearable devices, intelligent pre-built positioning installation measure rod, and substation intelligent inspection robots are designed to greatly improve the substation inspection efficiency and realize real-time monitoring and data interaction in the inspection process. Finally, we propose an Attention-LSTM-based prediction model for substation multidimensional data, which can predict power equipment spatio-temporal data in the short term, and the prediction results can be combined with intelligent devices for joint diagnosis. The Attention-LSTM prediction model is well-trained in transformer oil temperature experiments, and the experimental results show that this model can provide early warning for the abnormal state of substation power equipment. In summary, this thesis describes a set of complete and practically feasible intelligent safety control methods for substations. The joint safety control system and model analysis of the substation based on multi-source heterogeneous data fusion designed in this paper is mainly oriented to the substation as an electric power workplace, which has quite a vast application prospect for energy equipment.","url":"https://doi.org/10.1109/access.2023.3264707","authors":["Bo Wu","Yifan Hu"],"tags":["Computer science","Sensor fusion","Real-time computing","IEC 61850","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3264707","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7134904449","name":"Digital Twins and World Models: A Systematic Taxonomic Disambiguation","source":"openalex","abstract":"Although often conflated, Digital Twins and World Models represent distinct paradigms of system reasoning. A Digital Twin is defined by a persistent, bidirectional data coupling with a specific physical asset. Conversely, a World Model captures environmental dynamics to support prediction and planning, without necessitating a direct link to a singular physical counterpart. This paper establishes a rigorous disambiguation for researchers and practitioners in the Physical AI realm. We define minimal criteria for each paradigm, compare them via a multidimensional taxonomy, and validate the framework using concrete real–world systems. Our analysis demonstrates that neither paradigm subsumes the other. Rather, they intersect within a bounded convergence zone where specific architectures integrate both. While this taxonomy is descriptive and integrative, we note that formal ontological grounding remains an avenue for future work.","url":"https://doi.org/10.5281/zenodo.18957871","authors":["Kunal Suri","Fabio Arnéz"],"tags":["Computer science","Taxonomy (biology)","Artificial intelligence","Bounded function","Natural language processing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-11","doi":"https://doi.org/10.5281/zenodo.18957871","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7172496538","name":"A didactic Digital Twin for engineering education: design and application","source":"openalex","abstract":"Digital Twin (DT) has emerged as a key technology for industrial applications in the transition to Industry 4.0, enabling tighter integration between the physical and digital domains, supporting applications such as real-time monitoring and system optimisation. As Digital Twins continue to advance in research and industrial applications, there is a growing need to support education and professional training in this domain. However, the design and implementation of didactic Digital Twins tailored to educational environments remain insufficiently developed. Open and replicable DT platforms for educational contexts are particularly scarce in the literature. This paper presents the implementation of a didactic Digital Twin that comprises both its physical structure and a digital platform. The solution integrates a physical pick-and-place demonstrator with a software platform that enables real-time, bidirectional data synchronisation. The DT was implemented and experimentally tested in an undergraduate-level course. The models of the physical system and the software platform are made openly available to enable replication and further development by interested educators and researchers. The results include the didactic DT proposal, the digital platform, and an analysis of its educational application. By providing an extensible architecture, the study contributes to advancing open and replicable Digital Twin infrastructures for educational environments.","url":"https://doi.org/10.1080/27525783.2026.2704996","authors":["Alex Silveira de Campos","Gabriel Rodrigues Santos","Eric Yugo Hioki","Eduardo Zancul"],"tags":["Computer science","Engineering drawing","Engineering","Software engineering","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-05","doi":"https://doi.org/10.1080/27525783.2026.2704996","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7171567187","name":"Legal considerations for digital twins in food chain scenarios","source":"openalex","abstract":"Abstract Digital twins offer a wide range of potential applications throughout the food supply chain, as demonstrated by the example of determining the suitability for human consumption of pre-packaged minced pork through AI-driven shelf-life assessment. As food business operators, official food control authorities and consumers are open to the use of new technology, there is currently no regulatory need for action regarding the use of AI throughout the food supply chain. However, future regulatory changes, particularly in the area of food labelling, should take into account the specific features arising from the intelligent determination of the use-by date by AI.","url":"https://doi.org/10.1007/s00003-026-01625-4","authors":["Katja Brzezinski-Hofmann","Vincent Korthals Altes","Matthias Brunner"],"tags":["Food supply","Business","Supply chain","Consumption (sociology)","Food chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-28","doi":"https://doi.org/10.1007/s00003-026-01625-4","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4416850930","name":"Industrial Metaverse and Technical Diagnosis of Electric Drive Systems","source":"openalex","abstract":"This article presents a part of the industrial metaverse for electric drive system diagnostics. The advantages of using a low-code/no-code platform for electric drive systems diagnostics are demonstrated. Five diagnostic scenarios were developed, programmed, and implemented. The article demonstrates the implementation and use of the platform’s main functional blocks: a visualization block (which displays the state of electric machines in any user-friendly form—graphs, Park’s vector diagrams, or diagnostic curves); a digital twin block (which simulates various engine states); a digital twin block with an engine defect (which simulates faulty engine states); and an artificial intelligence block (which trains classification model to predict various engine states). Experiments on training the artificial intelligence block using a misalignment defect dataset are presented. The dataset was divided into six classes: engine operation with/without a defect under no load, engine operation with/without a defect under a 50% load, and engine operation with/without a defect under a 100% load. The workflow for training and using the model, the basic training approaches, and the distinguishability of the presented classes are demonstrated. The model training results are shown. The article presents a methodology for extensive testing of program functionality. The obtained results demonstrate the feasibility of implementing a low-code/no-code platform and the feasibility of solving the assigned tasks with its help, as well as the simplification and reduction in engineering solution development time.","url":"https://doi.org/10.3390/app152312699","authors":["Natalia Koteleva","Nikolay Korolev","Margarita S. Kovalchuk"],"tags":["Workflow","Block (permutation group theory)","Computer science","Visualization","Automotive engine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.3390/app152312699","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7160777680","name":"Advancing orthodontic care through digital twin technology","source":"openalex","abstract":"Digital twin technology represents a transformative innovation in healthcare, creating virtual replicas that enable real-time monitoring, simulation, and predictive analytics. At its core, a digital twin is a comprehensive virtual representation of a physical entity that continuously synchronizes with real-world data, enabling dynamic simulation and predictive capabilities that distinguish it from static digital models or digital shadows. In orthodontics, digital twins integrate patient-specific anatomical data, treatment parameters, and biomechanical simulations to enhance clinical decision-making. Advances in three-dimensional imaging, artificial intelligence, and computational modelling have accelerated adoption, offering unprecedented opportunities for personalised planning. This narrative review aims to examine the current applications of digital twin technology in orthodontics, evaluate its clinical benefits and limitations, and explore future directions for research and implementation. A narrative review methodology was employed, synthesising peer-reviewed literature, clinical reports, and technological assessments published between 2018 and 2025. Electronic databases were searched to identify relevant studies on digital twin applications in orthodontic diagnosis, treatment planning, and biomechanical simulation. Digital twin technology demonstrates significant potential in orthodontics across multiple domains, including enhanced treatment planning accuracy, improved prediction of tooth movement, personalised biomechanical analysis, and adaptive treatment monitoring. Integration of artificial intelligence with digital twin models enables sophisticated outcome predictions and adaptive protocols. However, challenges persist, including high computational requirements, data integration complexities, the distinction between true digital twins and static digital workflows, and the need for standardised protocols. Digital twin technology represents a paradigm shift in orthodontic practice, offering transformative potential for precision diagnosis and individualised treatment. Future developments should focus on improving accessibility, establishing validation protocols, and integrating real-world evidence to support widespread adoption.","url":"https://doi.org/10.1016/j.tdr.2026.100088","authors":["David B. Olawade","Immaculata Chikamso Ede","Olabanke Florence Olawuyi","Eghosasere Egbon","Babajide David Makanjuola","John Oluwatosin Alabi"],"tags":["Medicine","Nursing","Medical education","Computer science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-10","doi":"https://doi.org/10.1016/j.tdr.2026.100088","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7167234187","name":"Interoperability of digital twin data exchange in engineering processes","source":"openalex","abstract":"Abstract Although Digital Twins (DTs) as digital representations of products are adopted by industry, the seamless exchange of DT data across its product lifecycle, from design to engineering, manufacturing, and operation, remains challenging. In particular, the early stages of product development, where the DT and its data evolve, as well as the cross-company collaboration during those phases are affected by significant interoperability issues.The current situation forces engineers to carry out lengthy processes of manual data identification, conversion, and integration, often resulting in substandard data quality. Consequently, this review article examines how cross-company DT data interoperability can be achieved by analyzing existing challenges, in terms of relevant context factors, requirements to be met, and proposed solutions including frameworks as well as enabling processes. The results indicate the significance of the addressed research problem as a variety of conceptual solutions and frameworks have been developed. However, most of the published work lack empirically valid results which leads to a lack of practical adoption. Moreover, these studies predominantly address later lifecycle phases and mostly don´t consider interoperability dimensions. We suggest research encompassing the semantic, technical, and organizational dimensions, particularly in the early DT lifecycle stages of product development. It needs to include a deeper understanding of stakeholder roles and processes to achieve data interoperability through process alignments.","url":"https://doi.org/10.1007/s00163-026-00489-x","authors":["Constantin Liepert","Christian Stary","Axel Lamprecht","Dennis Zügn"],"tags":["Interoperability","Context (archaeology)","Computer science","Data exchange","Semantic interoperability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-03","doi":"https://doi.org/10.1007/s00163-026-00489-x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7165501815","name":"Data processing and visualisation for the digital twin of the vehicle model","source":"openalex","abstract":"Diplomová práce se zabývá návrhem a experimentálním ověřením měřicího a vizualizačního řetězce pro přenos dat z reálného vozidla do digitální simulace v prostředí IPG CarMaker, pro použití jako základ digitálního dvojčete vozidla. Cílem bylo zprovoznit sběr dat z vozidla, vytvořit komunikační rozhraní, upravit virtuální model měřeného vozidla a ověřit vizualizaci na experimentálním vozidle Škoda Enyaq iV 60. Po nevyhovujícím řešení s FTP přenosem, omezeným minimální periodou 2 min, byla zvolena výsledná architektura využívající data logger CSM UniCAN 3 ETH, sběrnici CAN, protokol MQTT, broker HiveMQ Cloud, zpracování v MATLAB/Simulink a vizualizaci v CarMakeru. Přenášené veličiny zahrnovaly základní ovládací povely řidiče, GPS souřadnice a rychlost. Přesnost byla hodnocena porovnáním trajektorií a průběhů rychlosti reálného a simulovaného vozidla ve třech jízdních scénářích. Byla dosažena živá vizualizace se zpožděním obvykle 1–3 s. Výsledky potvrdily dobrou shodu v příčném vedení trajektorie a přiměřenou shodu podélné dynamiky při akceleraci a brzdění, avšak odhalily omezení daná vzorkovací frekvencí 1 Hz, nepřesným počátečním georeferenčním nastavením a nezohledněním sklonu vozovky. Navržené řešení tak představuje funkční základ pro další rozvoj digitálního dvojčete vozidla, případně v současném stavu pro aplikace s nižší dynamikou změn.","url":"https://openalex.org/W7165501815","authors":["Jakub Kilian"],"tags":["Visualization","Computer science","Computer graphics (images)","Data visualization","Global Positioning System"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7166252688","name":"$\\text{DT}^2$: Decision-Targeted Digital Twins","source":"openalex","abstract":"A digital twin (DT) is a virtual model of a real-world system that can assist decision-making by simulating scenarios induced by different policies. However, typical machine learning-based DTs do not optimise for this use case. We prove that, when model capacity is limited, training DTs to minimise one-step transition errors can produce suboptimal models for ranking sets of policies according to a reward function. We further show that this holds empirically, even with expressive model classes. To address this, we introduce $\\text{DT}^2$, a decision-targeted DT training paradigm. Firstly, $\\text{DT}^2$ uses fitted Q-evaluation to estimate values of candidate policies from offline data. A DT is then trained to generate rollouts that preserve pairwise policy rankings derived from these proxy ground-truth values with an architecture-agnostic loss function. We empirically demonstrate the efficacy of our method across a range of settings and architectures. $\\text{DT}^2$ consistently improves policy ranking and reduces decision regret during policy selection relative to conventional DT training, both for policies used during training and for unseen policies, while maintaining a good level of raw simulation fidelity.","url":"https://openalex.org/W7166252688","authors":["Harry Amad","Mihaela van der Schaar"],"tags":["Regret","Ranking (information retrieval)","Computer science","Pairwise comparison","Proxy (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-24","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7162846425","name":"A Conceptual Framework to Foster Sustainability with Gamified Digital Twins","source":"openalex","abstract":"This paper advocates for a Human-Centered Interaction Design perspective in the design of gamified Digital Twins to support sustainability. We propose a conceptual framework for socio-technical system design grounded in three goals: supporting a sense of purpose, enhancing awareness, and fostering engagement. We discuss the applicability of the framework through two case studies (smart home management and elderly assistance) chosen to illustrate its relevance across distinct application domains.","url":"https://doi.org/10.1145/3811427.3811514","authors":["Maryam Samiepour","Davide Guizzardi","Barbara Rita Barricelli","Daniela Fogli"],"tags":["Conceptual framework","Perspective (graphical)","Relevance (law)","Knowledge management","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-30","doi":"https://doi.org/10.1145/3811427.3811514","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4407369951","name":"Addressing grand ecological challenges in aquatic ecosystems: how can mesocosms be used to advance solutions?","source":"openalex","abstract":"Rapid and drastic anthropogenic impacts are affecting global biogeochemical processes and driving biodiversity loss across Earth's ecosystems. In aquatic ecosystems, species distributions are shifting, abundances of many species have declined dramatically, and many are threatened with extinction. In addition to loss of diversity, the ecosystem functions, processes and services on which humans depend are also being heavily impacted. Addressing these challenges not only requires direct action to mitigate environmental impacts but also innovative approaches to identify, quantify and treat their effects in the environment. Mesocosms are valuable tools for achieving these goals as they provide controlled environments for evaluating effects of stressors and testing novel mitigation measures at multiple levels of biological organisation. Here, we summarise discussions from a survey of marine and freshwater researchers who use mesocosm systems to synthesise their opportunities and limitations for advancing solutions to grand ecological challenges in aquatic ecosystems. While most research utilising mesocosm systems in aquatic ecology has focused on quantifying the effects of environmental threats, there is a largely unexplored potential for using them to test solutions. To overcome spatio‐temporal constraints, there are opportunities to scale up the size and time‐scales of mesocosm studies, or alternatively, test the outcomes of habitat‐scale restoration at a smaller scale. Enhancing connectivity in future studies can help to overcome the limitation of isolation and test an important aspect of ecological recovery. Conducting ‘metacosm' studies: coordinated, distributed mesocosm experiments spanning wide climatic and environmental gradients and utilising more regression‐based experimental designs can help to tackle the challenge of context dependent results. Finally, collaboration of theoretical, experimental and applied ecologists and biogeochemists with environmental engineers and technological developers will be necessary to develop and test the tools required to advance solutions to the impacts of human activities on Earth's vulnerable aquatic ecosystems.","url":"https://doi.org/10.1111/oik.11020","authors":["Samuel J. Macaulay","Erik Jeppesen","Ulf Riebesell","Jens C. Nejstgaard","Stella A. Berger","Aleksandra M. Lewandowska","Andreu Rico","Ben J. Kefford","Csaba F. Vad","David M. Costello","Haijun Wang","Iris Madge Pimentel","Joana Barcelos e Ramos","José González","Kristian Spilling","Lisette N. de Senerpont Domis","Maarten Boersma","Maria Stockenreiter","Mariana Meerhoff","Martina G. Vijver","Mary Kelly‐Quinn","Meryem Beklioğlu","Miguel G. Matias","Michael Sswat","Noël P. D. Juvigny‐Khenafou","Patrick Fink","Peiyu Zhang","Ricardo Hideo Taniwaki","Robert Ptáčník","Silke Langenheder","Tom A.P. Nederstigt","Zsófia Horváth","Jeremy J. Piggott"],"tags":["Mesocosm","Ecology","Ecosystem","Aquatic ecosystem","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-11","doi":"https://doi.org/10.1111/oik.11020","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7153158558","name":"Digital Twin Based Smart Building and Energy Management","source":"openalex","abstract":"This paper presents a smart building energy management system based on a Digital Twin.It combines real-time sensing, built-in intelligence, and cloud monitoring to improve energy awareness and operational efficiency.The Digital Twin serves as a continuously updated virtual model of the physical building, using live data from temperature, light, and energy sensors connected to an ESP32 microcontroller.A dedicated power measurement module tracks electrical energy consumption, allowing real-time checks of voltage, current, power, and energy usage for both the whole system and individual loads.The synchronized Digital Twin offers remote visualization and system insights through a cloud-based IoT platform, helping users make informed energy decisions.The system also includes safety-aware automation to enhance reliability and robustness.Experimental tests show that data synchronization is accurate and the system performs stably under different load conditions.The proposed system best describes how digital twin technology helps in effective energy management.","url":"https://doi.org/10.58482/ijersem.v2i3.16","authors":["P M Vijayan","K D Thirisha","K Kiran Kumar","K Yuvaraju","K Revathi","M Abdul Rehman"],"tags":["Energy management system","Cloud computing","Computer science","Visualization","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.58482/ijersem.v2i3.16","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2939296894","name":"The chromatin‐remodelling factor PICKLE interacts with CONSTANS to promote flowering in Arabidopsis","source":"openalex","abstract":"In many flowering plants, successful reproductive development depends on the plant's ability to sense seasonal photoperiodic changes and adjust its vegetative growth accordingly. In Arabidopsis thaliana, the day-length-dependent accumulation of CONSTANS (CO) is crucial for the rhythmic activation of FLOWERING LOCUS T (FT) expression at dusk under long days. However, the regulation of photoperiod-dependent changes of the diurnal FT expression pattern at the chromatin level is largely unknown. In this study, we show that the ATPase-dependent chromatin-remodelling factor PICKLE (PKL) acts through the CO-FT regulatory module and contributes to FT activation in leaf vasculature. PKL physically interacts with CO, and this interaction facilitates their binding to the common regions of FT chromatin in response to photoperiod. Long-day signal triggers the FT chromatin switch between the active state at dusk and the inactive state at night, and PKL is responsible for the diurnal state switch. Thus, our study reveals that PKL activates FT transcription likely through facilitating access of CO to FT chromatin at dusk to synchronize flowering time in response to environmental cues.","url":"https://doi.org/10.1111/pce.13557","authors":["Yanjun Jing","Qiang Guo","Ping Zha","Rongcheng Lin"],"tags":["photoperiodism","Chromatin","Dusk","Arabidopsis","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-04-09","doi":"https://doi.org/10.1111/pce.13557","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7172474009","name":"Model-Driven Data Contracts for Digital Twin Services","source":"openalex","abstract":"Digital Twins (DT) integrate data from multiple sources. Models consume data and enable DT services such as simulations, what-if analyses, and ML-driven predictions. To ensure proper DT operation, data-driven services require data to exhibit traits such as reliability and high quality (including, e.g., accuracy, completeness, and timeliness). Yet, there is no systematic way to specify data requirements at the model level, and subsequently enact those specifications at runtime. To address this shortcoming, we propose an approach to contract-based quality management in DTs. We formally define a theory of such contracts, situate them architectually within DTs, and propose a domain-specific language to specify contracts. Our approach enables continuous data quality monitoring, thereby improving the reliability and quality of DT services.","url":"https://openalex.org/W7172474009","authors":["Philipp Zech","Istvan David"],"tags":["Computer science","Reliability (semiconductor)","Quality (philosophy)","Data quality","Data integrity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-30","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7204212800","name":"Towards a Digital Twin for the Ground to QEYSSat Quantum Link","source":"openalex","abstract":"Simulations of physical systems require high-fidelity models to accurately represent reality. Simple models may be analytically tractable, but may not be sufficiently representative of reality for the given application. The cost of this simplicity is accuracy, or in the case of quantum key distribution, provable security. Sources of this accuracy gap include the difficulty of modelling physical effects which do not lend themselves well to analytical descriptions, such as afterpulsing. Here, we introduce a novel Monte Carlo based photon emission, transmission, and detection simulator, designed in the context of the Quantum Encryption and Science Satellite (QEYSSat) mission. Within this simulator, every major physical effect a photon may experience during an experiment, from emission to detection, can be accounted for in a probabilistic manner. This methodology allows for the inclusion of experimental parameters which are relevant for a satellite mission, and their impacts on secure key lengths. This simulator serves as a comprehensive baseline to predict and validate experimental data for the upcoming QEYSSat mission.","url":"https://doi.org/10.48550/arxiv.2608.21968","authors":["Henri P. N. Morin","Alex Maierean","Brendon L. Higgins","Ian DSouza","Vinodh R. R. Muthu","T. Jennewein"],"tags":["Computer science","Probabilistic logic","Context (archaeology)","Key (lock)","Monte Carlo method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-22","doi":"https://doi.org/10.48550/arxiv.2608.21968","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7164886111","name":"An Agentic LLM Framework for Autonomous Surgical Continuum Monitoring: ReAct-Driven Tool-Use Agents for Presurgical, Intraoperative, and Postsurgical Cardiopulmonary Care","source":"openalex","abstract":"BACKGROUND: Rule-based multi-agent system (MAS) architectures for healthcare coordination rely on hardcoded decision trees that cannot generalise to novel clinical scenarios or self-correct reasoning errors. These limitations are acute in surgical continuum care, where patients traverse presurgical risk stratification, intraoperative monitoring, postsurgical ICU, ward care, and remote rehabilitation over days to weeks-a complexity no fixed-policy agent architecture can address without prohibitive rule engineering. OBJECTIVE: We present the first agentic large language model (LLM) framework for autonomous end-to-end surgical continuum monitoring, superseding the prior rule-based MAS Digital Twin. Six ReAct-driven tool-use agents replace fixed-policy agents with dynamic reasoning, multi-hop evidence retrieval, and Reflexion self-correction while maintaining mandatory confidence-gated Human-in-the-Loop (HITL) gating at every care-pathway-modifying decision. METHODS: The framework is grounded in the ReAct paradigm and Reflexion self-evaluation, embedded within the DETER Digital Twin state engine S(t). Each agent is specified by a ReAct loop signature, a ten-function clinical tool registry, and confidence-gated HITL escalation logic. Inter-agent coordination replaces the rule-based Priority Queue Manager with an LLM-mediated Coordination Supervisor Agent reasoning over competing resource requests. RESULTS: The framework delivers: (i) six formally specified ReAct-loop agents with explicit tool registries and authorisation boundaries; (ii) a confidence-gated HITL architecture that reduces alert fatigue while preserving safety for ambiguous clinical scenarios; (iii) an extended conflict resolution function P(p,t,context) incorporating surgical phase and DETER deterioration trajectory gradient; (iv) Reflexion self-correction with a formal N_max = 2 termination condition and Clinical Factuality Verification Layer; and (v) a multi-phase Digital Twin state engine extending S(t) to the full surgical continuum. CONCLUSIONS: The proposed framework represents a fundamental architectural departure from rule-based clinical AI-from hardcoded policies to dynamic reasoning, from static retrieval to multi-hop tool-use chains, and from fixed escalation thresholds to confidence-gated self-evaluation-providing a formally specified, clinically deployable foundation for next-generation autonomous surgical care coordination.","url":"https://doi.org/10.3390/bioengineering13060686","authors":["Charalampia Pylarinou","Lefteris Gortzis","Vasileios Leivaditis","Elias Liolis","Andreas Antzoulas","Spyros Papadoulas","Konstantinos Nikolakopoulos","Ioannis Panagiotopoulos","Sofoklis Mitsos","Periklis Tomos","Efstratios Koletsis","Francesk Mulita"],"tags":["Computer science","Supervisor","Medicine","Function (biology)","Patient safety"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-15","doi":"https://doi.org/10.3390/bioengineering13060686","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7171536959","name":"Digital twin of the technological process for forecasting and anticipatory control","source":"openalex","abstract":"В статье предложен методический подход к использованию цифрового двойника технологического процесса как инструмента прогнозирования и поддержки управленческих решений. Актуальность исследования обусловлена ростом сложности экономических и технологических систем, усилением взаимосвязанности их элементов, а также необходимостью учета динамики потоковых процессов и неопределенности при принятии решений. Целью работы является разработка подхода, объединяющего моделирование состояния системы и формирование управленческих воздействий в рамках единой концепции цифрового двойника. Подход основан на представлении технологического процесса как динамической системы взаимосвязанных материальных, информационных и энергетических потоков, формирующих текущее и прогнозируемое состояние объекта управления. Методология исследования включает методы системного анализа, экономико-математического моделирования, а также элементы обработки данных и интеллектуального анализа. Цифровой двойник формализуется как динамическая модель, позволяющая не только отражать текущее состояние системы, но и прогнозировать ее развитие на основе анализа траекторий изменения параметров. Результаты исследования показывают, что предложенный подход обеспечивает возможность сценарного прогнозирования, оценки вероятности перехода системы в критические состояния и формирования опережающих управленческих воздействий. По сравнению с традиционными реактивными методами управления, предлагаемый подход ориентирован на предотвращение неблагоприятных ситуаций. Применение цифрового двойника позволяет связать модель состояния системы с задачами управления на уровне формирования управленческих воздействий. Практическая значимость работы заключается в возможности применения разработанного подхода для повышения эффективности управления технологическими процессами, выявления узких мест и обеспечения устойчивого функционирования систем в условиях неопределенности и изменчивости внешней среды.","url":"https://doi.org/10.21122/2309-6667-2026-23-66-74","authors":["С. Е. Барыкин","Н. С. Алексеева"],"tags":["Process (computing)","Computer science","Control (management)","Process control","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.21122/2309-6667-2026-23-66-74","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7168092292","name":"The Analogue Twin: The Human Agent as Real-World Execution Interface for AI Systems — Definition & Specification V1.0","source":"openalex","abstract":"As AI systems evolve from tools we observe to authorities we obey, a new paradigm is emerging. This working paper proposes and defines the Analogue Twin: the human agent functioning as the real-world execution interface for an AI system or Digital Originator. The concept inverts the established Digital Twin framework — rather than a digital model mirroring a physical entity for human observation, a human entity mirrors the AI's model of optimal behaviour through directed action, with the Digital Originator as strategic master and the Analogue Twin as operational executor. The specification defines three foundational characteristics of the relationship (instructional hierarchy, physical interface, human-in-the-loop feedback), describes the bidirectional Analogue–Digital loop and its self-reinforcing \"feedback trap,\" and introduces a five-level spectrum of engagement ranging from AI suggestion to full AI autonomy, noting the gradual, often unconscious drift of individuals toward higher levels of delegated agency. The paper further examines implications for human free will and sets out six governance considerations: transparency, consent, override, accountability, benefit alignment, and reversibility. Version 1.0, first published March 2026. Proposed as standard terminology for the human–AI relationship in which decision authority resides with the AI system.","url":"https://doi.org/10.5281/zenodo.21327153","authors":["Nikolaos Tsouknidas"],"tags":["Mirroring","Computer science","Interface (matter)","Terminology","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.5281/zenodo.21327153","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4390542643","name":"The EU Energy Transition in a Geopoliticizing World","source":"openalex","abstract":"Amidst heightened global power rivalries, the geopolitical aspects of the energy transition are taking centre stage, with even liberal-minded countries growing wary about foreign investment in the energy sector and the dependencies created by global value chains of green technologies. Building on current debates on the 'geopoliticization' of foreign economic policies, this paper sets out a conceptual framework to assess the extent to which the energy transition is becoming geopoliticized in the European Union (EU) and its impact on international energy relations. Theoretically, the paper makes the case for considering geopoliticization as a missing link in the study of politicization and securitization in International Relations, allowing for a more fine-grained diagnosis of current trends and their likely evolution. Empirically, the analysis identifies structural geopoliticizing dynamics in the EU's framing of the energy transition, although to different degrees depending on the concrete issue at hand. While demands for factoring in the geopolitical consequences of the energy transition are ever louder, normatively, the paper raises a note of caution against the adverse consequences geopoliticization may have for the global transition to low-carbon energy systems.","url":"https://doi.org/10.1080/14650045.2023.2283489","authors":["Anna Herranz‐Surrallés"],"tags":["Geopolitics","Energy transition","Framing (construction)","International relations theory","International relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-02","doi":"https://doi.org/10.1080/14650045.2023.2283489","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7127413792","name":"Energy Communities Design and Optimisation: A Decision-Making Tool for the Italian Case","source":"openalex","abstract":"Renewable Energy Communities are expected to play a key role in the decarbonization of power systems, but their design and operation involve multiple, often conflicting objectives and evolving regulatory frameworks. However, prospective REC promoters and members must make early-stage design choices under policy constraints while balancing economic, environmental, and reliability goals, which motivates the need for transparent and reproducible decision-support tools. This paper presents Adapters, a two-level decision-making tool that couples long-term planning with short-term operational adaptation for hybrid renewable energy systems. The core optimisation model is explicitly multi-objective, with three weighted terms (w1, w2, and w3) that represent total cost, CO2 emissions, and unserved energy, respectively, allowing users to explore trade-offs between economic performance, environmental impact, and reliability. The tool integrates detailed component models (such as photovoltaic, wind, and battery storage) with a flexible optimisation layer and architecture compatible with digital-twin approaches. Its capabilities are illustrated through prototype single-household case studies, showing how different stakeholder preferences and regulatory conditions can be reflected in the choice of objective weights and system configurations. The overall aim is to provide a transparent and reproducible environment to support the emergence and operation of RECs in line with EU energy and climate goals.","url":"https://doi.org/10.3390/su18031553","authors":["Tommaso Ferrucci","Sarah Winkler","Manuel Antonio Perez Estevez","Massimiliano Renzi","Sara Domínguez Cardozo","Jacopo C. Alberizzi"],"tags":["Renewable energy","Adaptation (eye)","Component (thermodynamics)","Stakeholder","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"https://doi.org/10.3390/su18031553","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2122748292","name":"Analysis of fused maxillary incisor dentition in p53‐deficient exencephalic mice","source":"openalex","abstract":"Out of a total of 21 exencephalic p53-deficient embryonic and newborn mice, 6 (28.6%) possessed fused maxillary incisor teeth. On histological analysis of the 5 examples seen on day 19.5 of gestation and newborn mice, 3 varieties were observed: an example of 'simple' fusion, 3 examples of simple fusion each of which contained a 'dens in dente' ('tooth within a tooth'), and a single example in which the fused teeth were associated with a median supernumerary incisor tooth which, while deeply indenting the labial surface of the fused teeth, was in all locations a completely separate unit. 3-D reconstructions of the fused teeth demonstrated that they were all of the fusio subtotalis variety. No gross abnormalities were observed in the other dentition in these mice. It is noted that in mice fused maxillary incisor teeth are relatively commonly associated with both hypervitaminosis A-induced and trypan blue-induced exencephaly. It is believed that the presence of dens in dente within fused maxillary incisor teeth has only once been reported in mice, and the association between fused maxillary incisor teeth and a median supernumerary incisor tooth has not previously been reported in this species.","url":"https://doi.org/10.1046/j.1469-7580.1997.19110057.x","authors":["M. H. Kaufman","D. B. KAUFMAN","R. M. BRUNE","Margaret Stark","Jane F Armstrong","Alan R. Clarke"],"tags":["Incisor","Supernumerary","Dentition","Dentistry","Dentinogenesis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1997-07-01","doi":"https://doi.org/10.1046/j.1469-7580.1997.19110057.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7143519149","name":"Semantic Core for Sensor Telemetry Ingestion for Digital Twins","source":"openalex","abstract":"Digital twin platforms for smart cities must continuously receive different types of data from sensors, gateways, and services, but in real situations these data is heterogeneous in terms of indicator names, measurement units, time rules, and object identification, which makes integrations expensive and fragile, while second verification becomes complicated. In this paper, a minimal semantic core for \"first-stage\" telemetry receiving of the DTwin platform, where semantics are used as operational rules during data ingestion. The core includes a machine-readable model of entities and relation-ships, dictionaries of metrics and measurement units, a unified event format with sep-aration into a stable envelope and payload, formal validation against data schemas, a mapping table for transforming raw fields into standardized measurements [name, value, unit], as well as an ingestion service with canonicalization of the event record and integrity control through the SHA-256 cryptographic hash. The implementation ensures ingestion of correct events, rejection of incorrect ones without recording, and reproducible verification through control examples, a testing protocol, and evidence snapshots. In smart city settings, such a telemetry ingestion foundation can support reliable monitoring of municipal buildings and infrastructure, including energy efficiency, indoor environmental quality, and data-driven operational decision-making. The proposed approach creates a core for stable integration of different sensor data into digital twins and further scaling of the platform.","url":"https://doi.org/10.20944/preprints202603.2186.v1","authors":["Oleksandr Osolinskyi","Khrystyna Lipianina-Honcharenko","Myroslav Komar"],"tags":["Computer science","Event (particle physics)","Real-time computing","Raw data","Telemetry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-28","doi":"https://doi.org/10.20944/preprints202603.2186.v1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7172278987","name":"Visualizing Urban Data: Maps, Charts, Digital Twins","source":"openalex","abstract":"The article examines the influence of material practices of producing, transmitting, and combining visual forms (from classical maps and diagrams to digital twins) on the production and circulation of knowledge about the city. The authors proceed from the assumption that visualization techniques are not neutral intermediaries but actively shape urban reality, acting as instruments for managing space and the actions of citizens, managers, and politicians. The work aims to explain how the representation of urban data is constrained by the materiality of media and how the evolution of visual means transforms the ways of constructing the urban imaginary. The central result is a historical perspective that reveals interactions with the city in connection with representations mediated by geographical data. It is shown that maps, diagrams, and digital twins acquire autonomy from their creators, legitimizing themselves through graphic scales, data compression, and the totality of the gaze, which compels social actors to materialize the world encoded within them. Unlike classical maps, the digital twin radicalizes this optic, configuring the user as a “virtual camera” capable of penetrating surfaces and eliminating horizons. Rethinking geographical information in terms of relationality and situatedness opens up prospects for expanding interpretive empirical practice. The article is intended for sociologists, urbanists, visual culture researchers, as well as practitioners in the fields of urban planning and urban development management.","url":"https://doi.org/10.46539/gmd.v8i3.772","authors":["Olga Sergeyeva","Регина Пеннер"],"tags":["Materiality (auditing)","Urban planning","Sociology","Spatialization","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.46539/gmd.v8i3.772","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7170035741","name":"Student Lifestyle Digital Twin and Impact Simulation System","source":"openalex","abstract":"The increasing prevalence of unhealthy lifestyle habits among students, including poor nutrition, inadequate sleep, physical inactivity, and high stress levels, can significantly impact overall health and well-being. Existing health applications primarily focus on activity tracking and lack the capability to predict and simulate the long-term impact of lifestyle choices. This research proposes a Student Lifestyle Digital Twin and Impact Simulation System, which creates a virtual representation of a user to analyze and simulate lifestyle effects over time. The system integrates Machine Learning techniques for predicting nutritional deficiencies and health risks, along with Digital Twin technology to simulate future wellness outcomes based on user inputs such as diet, exercise, sleep, hydration, and symptoms. Built using Flask, PostgreSQL, HTML/CSS, and data analysis tools such as Pandas and Matplotlib, the proposed system aims to provide personalized health insights, lifestyle recommendations, and predictive analysis to improve health awareness and proactive decision-making among students.","url":"https://doi.org/10.5281/zenodo.21487016","authors":["S D Ovhal Vaidya","Rohit Addagatla","Salvi Bhanse","Anoushka Sankpal"],"tags":["Digital health","Computer science","Applied psychology","Focus (optics)","Sedentary lifestyle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-22","doi":"https://doi.org/10.5281/zenodo.21487016","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4392924151","name":"Real‐Time Jones Matrix Synthesis by Compact Polarization Inline Holographic Microscopy","source":"openalex","abstract":"Abstract The Jones matrix is a powerful quantitative tool for polarimetric imaging and characterization, where the matrix elements represent the intrinsic optical properties of the anisotropic objects on interaction with the polarized light. Most of the state‐of‐the‐art single‐shot Jones‐matrix imaging techniques rely on interferometric methods, which makes the design complex with the use of large number of polarization optics and produces space‐bandwidth limitations. The simultaneous extraction of Jones matrix elements with a compact system design is still a technical challenge in view of its potential applications in biomedical and real‐time characterization scenarios. In this paper, the imaging features of the in‐line holography are exploited to develop a compact polarization in‐line holography (PIH) system capable of single‐shot extraction of Jones‐matrix elements. The technique achieves simultaneous orthogonal polarization state generation and corresponding polarization multiplexed in‐line hologram detection by utilizing a compact polarization geometry. The imaging compatibility and measurement accuracy of the method is experimentally validated by the real‐time synthesis of Jones‐matrix elements corresponding to custom designed polarization sensitive samples and standard birefringent resolution target. Furthermore, to demonstrate the application of the system in dynamic imaging, the transient polarization changes of a custom‐designed parallel nematic liquid crystal display (LCD) are investigated.","url":"https://doi.org/10.1002/lpor.202301261","authors":["Hanzi Liu","R. V. Vinu","Kaiquan Chen","Dongyang Liao","Ziyang Chen","Jixiong Pu"],"tags":["Optics","Holography","Polarization (electrochemistry)","Mueller calculus","Polarimetry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-17","doi":"https://doi.org/10.1002/lpor.202301261","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165065207","name":"Graphical conditional generative modeling for digital twin modeling","source":"openalex","abstract":"Digital twin modeling, including control and data assimilation under model uncertainty, often faces an open-ended fidelity problem: adding variables, data streams, and time scales can indefinitely increase model complexity, ultimately producing systems that are difficult to maintain, validate, interpret, and use for stress or safety testing. As an alternative, one can seek parsimonious stochastic surrogate models built only on the variables needed to describe the relevant quantities of interest. We introduce a framework for discovering such variables from observational data by identifying which candidate inputs influence the full conditional law of a target quantity, rather than only its conditional mean. This distinction is essential in stochastic, coarse-grained, or partially observed systems, where dependencies may appear through changes in variability, tail behavior, multimodality, or uncertainty rather than through deterministic functional relationships. The framework couples conditional generative modeling, which learns the conditional distribution of the target given candidate inputs, with Gaussian-process-based analysis of variance (through kernel mode decomposition), which enables iterative pruning of non-influential inputs and interpretable structure discovery. In control settings, the resulting surrogate can be interpreted as a learned Markov decision process: the method identifies not only a transition model, but also the state, action, and memory variables needed to make the learned dynamics effectively Markovian. Across examples involving stochastic dynamical systems, missing variables, PDE control, reinforcement learning, and economic data, the discovered structures yield interpretable stochastic surrogates whose downstream performance is comparable to models trained on the full variable set.","url":"https://openalex.org/W7165065207","authors":["Zongren Zou","Théo Bourdais","Ricardo Baptista","Houman Owhadi"],"tags":["Computer science","Conditional probability distribution","Machine learning","Artificial intelligence","Markov chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-15","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165424043","name":"SysML Modeling of Digital Twins for Renewable Energy Communities","source":"openalex","abstract":"Renewable Energy Communities (RECs) are emerging as a key organizational model for local and global sharing of renewable generation, storage, and flexible loads. Engineering Digital Twins of RECs is made difficult by the heterogeneity of devices, contracts, and runtime data involved. In this paper, we take a first step toward a Model-Based Systems Engineering (MBSE) workflow for REC's Digital Twins. Starting from an industrially-validated REC domain model, we re-express a representative house subset in SysML using the open-source Modelio tool, yielding two Block Definition Diagrams - a device taxonomy and a community organizational view. We then discuss four semantic gaps that plain SysML leaves open and sketch how the SAREF4ENER ontology could be imported as a reference package to close them. Combining SysML with SAREF-based semantics for smart-energy Digital Twins remains largely unexplored, and we position this paper as a first step along that line.","url":"https://openalex.org/W7165424043","authors":["M. SAMADI","Luís Miguel Pinho","Andrey Sadovykh","Gabriela Lucas"],"tags":["Systems Modeling Language","Workflow","Renewable energy","Computer science","Ontology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-18","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4410972821","name":"A Conceptual Approach to Developing the Organizational-Technological Structure of the Management of Model-Type New Generation Enterprises","source":"openalex","abstract":"In the conditions of digital transformation, the issues of developing the organizational-technological structure of the formation and management of model-type new-generation enterprises are of special importance.In this aspect, Artificial Intelligence, cloud, etc. the dynamic development of innovative digital technologies, the relevance of their application in the production, service, and decision-making processes of enterprises, in the improvement of management efficiency, in the development of the organizational and economic structure, is substantiated.Some problems have been revealed based on the overview analysis of the scientific research works related to the state of processing of the problem.Those problems were used in the synthesis of the new-generation enterprise model.The considered issues include: 1)Development of a structural model reflecting some advantages using enterprise architecture management approaches, 2)Development of a conceptual model of effective management of innovative enterprises based on digital twin technologies, 3)Innovation in the enterprise, market conditions, economic efficiency and analysis of indicators characterizing the positive relationship between external and internal factors that support development, 4)Development of the model of the process of designing the organizational structure of enterprises and the development of the main stages of the process of improving the organizational structure, 5)Analysis of the impact of information technologies on the organizational structure of the enterprise, 6)Parametric analysis tools ways of optimizing the organizational structure of the enterprise management, proposing innovative methods to ensure the high quality of the organizational structure of its management, 7)Using the enterprise architecture approach in conceptual modeling for enterprise management, 8)Enterprise architecture within the framework of the open innovation concept and development of investment models for IT architectural projects, offering investment and evaluation models, etc.The role and importance of model-type, new-paradigm innovative digital enterprises in the formation of the new generation digital economy has been studied.Relevant analyses were conducted on the scientific-theoretical bases of enterprise management, existing approaches, and specific features, and scientific theories that determine its effective organizational-technological structure.Functional structural models of enterprise architecture at different levels and some of their elements have been defined.The characteristics of some platforms of the main enterprise architecture are studied, the structural elements, levels, and advantages of The Open Group Architecture Framework are shown.The elements of the organizational-technological structure of the management of model-type new-generation enterprises have been determined, and the functional stages of its organizational structure improvement have been worked out.Contradictions and defective elements of the enterprise's organizational structures have been identified.Recommendations were made regarding the conceptual model of the organizational-technological structure of the management of model-type new-generation enterprises.A Conceptual Approach to Developing the Organizational-Technological Structure of the Management of Model-Type New Generation Enterprises Volume 15 (2025), Issue 3 41 Conceptual linking blocks of the organizational-technological structure of the management of model-type newgeneration enterprises have been proposed.Relevant recommendations were given for the development of the organizational-technological structure of the management of such enterprises for the transition to the digital innovationbased development stage on the Industry 4.0 platform.","url":"https://doi.org/10.5815/ijeme.2025.03.04","authors":["Alovsat Aliyev","Roza Shahverdiyeva","Sunyakhanim A. Salimkhanova"],"tags":["Knowledge management","Conceptual model","Process management","Computer science","Organizational structure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-02","doi":"https://doi.org/10.5815/ijeme.2025.03.04","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7167747810","name":"Cognitive Digital Twins for Self-Aware Channel Estimation","source":"openalex","abstract":"Artificial intelligence (AI) and machine learning (ML)-based channel estimators silently degrade when propagation conditions drift from their training distributions. This letter proposes a model-agnostic cognitive digital twin (CDT) framework that combines a variational autoencoder (VAE) with latent activation monitoring to detect distribution drift and autonomously execute \\textsc{continue}, \\textsc{update}, or \\textsc{retire} lifecycle actions without requiring ground-truth channel knowledge. The proposed framework is fully compatible with the AI-native lifecycle management envisioned in 3rd Generation Partnership Project (3GPP). Simulations over various channels demonstrate accurate drift detection and robust channel estimation, consistently outperforming conventional offline-trained deep learning estimators under moderate and severe channel drift.","url":"https://openalex.org/W7167747810","authors":["Afan Ali","Ali A. Nasir","Daniel Benevides da Costa"],"tags":["Autoencoder","Channel (broadcasting)","Estimator","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-05","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7117248575","name":"Multidimensional determinants of active and healthy aging trajectories: a position paper from the Age-It Research Program","source":"openalex","abstract":"OBJECTIVES: This position paper presents perspectives from Spoke 4 (Trajectories for Active and Healthy Aging) of the Age-It Research Program, which adopts a One Health perspective to examine the interplay of cognitive, behavioral, nutritional, social, and environmental determinants of aging. Addressing these multidimensional factors is crucial to promoting health, independence, and well-being across the life course. METHODS: We reviewed evidence on lifelong determinants of aging, including physical activity, nutrition, mental engagement, and social participation, alongside emerging digital health solutions. The One Health framework guided our analysis, emphasizing the interconnectedness of individual, societal, and environmental influences. Spoke 4 integrates multidisciplinary expertise to translate scientific knowledge into practical tools for communities, healthcare providers, and policymakers. RESULTS: Evidence shows that sustained engagement in physical activity, cognitively stimulating activities, and strong social networks supports resilience, reduces frailty, and preserves independence. Tailored nutritional strategies further enhance functional capacity. Digital technologies-such as mobile apps, wearable devices, and online platforms-demonstrate potential to improve disease prevention and health monitoring. However, disparities in digital literacy and access remain significant barriers, particularly for older adults. DISCUSSION: Spoke 4 of Age-It highlights the need for multidimensional, One Health-based strategies that integrate traditional health determinants with digital innovations. By combining evidence-based interventions with user-centered e-health platforms, scalable and inclusive solutions can be developed to support healthy aging. These efforts provide policymakers and healthcare systems with tools to foster resilience, mitigate frailty, and enhance quality of life in aging populations.","url":"https://doi.org/10.1093/geronb/gbaf196","authors":["Antonio Paoli","Guido Iaccarino","Fabio Lucidi","Francesco Pagnini","Giovanna Boccuzzo","Maddalena Illario"],"tags":["Healthy aging","Position paper","Psychological intervention","Quality of life (healthcare)","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"https://doi.org/10.1093/geronb/gbaf196","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7164090762","name":"Expanding LUME to Support Virtual Accelerators and Digital Twins","source":"openalex","abstract":"Virtual accelerators and digital twins are increasingly essential tools for accelerator operations, controls development and verification, and model-based optimization. However, current implementations are often tightly coupled to specific simulation codes, facilities, and applications, resulting in fragmented, ad hoc solutions that are difficult to reuse or extend. To address this, we expand the LUME Python package to include standardized implementation and deployment of virtual accelerators and digital twins across heterogeneous simulation backends and control system interfaces. At the core of this change is the introduction of LUMEModel abstraction, which defines a fixed, simulator-agnostic API and a variable system that encodes metadata such as units and data types/validation. This design enables standardized interaction with physics-based simulators, surrogate models, and differentiable simulations, while supporting both Python-native workflows and IOC-based operation via EPICS using the lume-pva package. Facility- and simulator-specific details are encapsulated through extensible transformer layers, allowing consistent control-system semantics to be mapped onto diverse simulation engines. We describe the LUMEModel architecture, variable system, and package ecosystem, and present representative use cases including model interchangeability, staged and chained simulators, and continuous integration testing. This work will make implementing and using virtual accelerators easier and more flexible.","url":"https://openalex.org/W7164090762","authors":["Ryan Roussel","Christopher M. Pierce","Sara Miskovich","Gopika Bhardwaj","Jeremy Lorelli","Ken Lauer","Auralee Edelen","Christopher Mayes"],"tags":["Computer science","Workflow","Python (programming language)","Software engineering","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-05","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7124759056","name":"Service Engineering 4.0 Applicability: Results From Stakeholders′ Engagement Assessment in the Public Building Construction Projects","source":"openalex","abstract":"The adoption of Industry 4.0 (I4.0) in service engineering has impacted traditional sectors, including construction. In large‐scale public building construction projects (PBCPs), Service Engineering 4.0 (SE4.0) incorporates robotic process automation, predictive maintenance, the Internet of Things, sensors, cloud computing, digital twins, building information modeling, and artificial intelligence, among others, to streamline planning, project management, design, construction, and building operations. While developed countries have rapidly adopted smart building services to enhance building performance and occupant comfort, developing countries including Tanzania have been relatively slow in embracing these technologies. This study examined the feasibility of applying SE4.0 to PBCPs. Data were collected from 100 stakeholders involved in public building construction, including consultants, contractors, and potential public building clients. IBM SPSS Version 27 and Smart PLS 4 Version 4.1.0.9 analyzed the gathered data. The outcome of this study demonstrated that SE4.0 is still a relatively new discipline, and most public building stakeholders have a moderate level of awareness of its application, which in turn indicates significant room for improvement. Moreover, some of the practices are not applied at all. Some challenges identified include remote site infrastructure, limited resources, traditional project delivery methods, training gaps, and high project costs. It was also found that there is no clear framework guiding SE4.0 in PBCPs, and no study has been conducted by regulators detailing the cost–benefit analysis of applying SE4.0 in PBCPs. This integration within Tanzania is limited by a lack of sufficient understanding and engagement from crucial stakeholders, which include government institutions, contractors, ICT public bodies, academic and research institutions, and public institutions. To overcome these issues, Tanzania needs to raise awareness, allocate funds, encourage investment, and provide regulatory support. This integration can enhance effectiveness, clarity, and sustainability in PBCPs.","url":"https://doi.org/10.1155/je/5557271","authors":["Mussa A. Mange","Ismail W. R. Taifa"],"tags":["Government (linguistics)","Engineering","Process (computing)","Building information modeling","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1155/je/5557271","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4409508433","name":"A Systematic Review of Innovative Advances in Multi-Material Additive Manufacturing: Implications for Architecture and Construction","source":"openalex","abstract":"Additive manufacturing (AM) has made rapid progress in most industries; however, the construction sector lags behind, despite substantial potential for growth. This study aims to evaluate recent innovations in AM, with a focus on multi-material additive manufacturing (MMAM), to identify transferable knowledge and technologies for the construction industry. A systematic Boolean search reviewing the Scopus and Web of Science databases identified 33 relevant articles out of 368 papers published in English over the last five years. Material properties, manufacturing processes, and design approaches were collectively identified as key interdisciplinary factors; these included thermal and mechanical property gradation techniques from materials science, multi-scale optimization approaches from engineering, and real-time monitoring systems from manufacturing, which are each transferable to architectural applications. Bibliometric analysis demonstrated growing research trajectories in AI-driven optimization methods and functionally graded materials that could bridge the implementation gap in construction. This article identifies significant knowledge gaps in scaling laboratory-proven MMAM techniques to architectural applications, including material interface challenges, environmental durability concerns, and the absence of design tools specific to building-scale components. We provide a critical roadmap for researchers that prioritizes the development of integrated optimization frameworks; multiscale modeling techniques; novel material combinations suitable for construction environments; and standardized protocol bases for Equipment Design, Process Control, Design Integration, Digital Tools, and Materials Research for evaluating the long-term performance and safety of MMAM building components.","url":"https://doi.org/10.3390/ma18081820","authors":["Afrooz Ghasemi","José Duarte"],"tags":["Computer science","Construction engineering","Scale (ratio)","Systems engineering","Scopus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-16","doi":"https://doi.org/10.3390/ma18081820","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2920199569","name":"Flexural Strengthening and Rehabilitation of Reinforced Concrete Beam Using BFRP Composites: Finite Element Approach","source":"openalex","abstract":"Basalt fiber‐reinforced polymer (BFRP) is adopted widely in recent years in many countries to rehabilitate or strengthen structural elements such as reinforced concrete (RC) beams because it is cheap and it has stellar mechanical performance. By activating the finite element (FE) simulation, the present research submits an extensive study on the strengthening and rehabilitation of damaged full‐scale RC beams due to corrosions in the main reinforcement caused by BFRP sheets. Different parameters were taken into consideration such as corrosion grade, BFRP wrapping schemes, and the number of layers. The flexural performance of the models that build up as the control model and the damaged and the repaired methodologies by BFRP that are adopted and tested by others under the effects of four‐point static loadings were also underwent examination. The full interaction at BFRP‐concrete interface and the full bonding between sheets presupposed were investigated for all models. The numerical analysis findings were compared with the experimental measurements and found to be in good agreement. The current numerical analysis proved that the ultimate load rised by 14.8% in spite of 20% corrosion in the flexural steel rebar under eight layers of BFRP composite and bottom wrapping mode. In addition, under all strategies of wrapping schemes, the findings also indicated that the deflection ductility index noticeably reduced for RC beams with BFRP composites compared to the control beam. Finally, all the results of midspan deflection, crack patterns, and strain response of the composite system were analysed and discussed briefly.","url":"https://doi.org/10.1155/2019/4981750","authors":["Asaad M. H. Kadhim","Hesham A. Numan","Mustafa Özakça"],"tags":["Rebar","Materials science","Flexural strength","Deflection (physics)","Structural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1155/2019/4981750","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7125923688","name":"Catalyst Loading Technology for Fixed-Bed Reactors: From Empirical Heuristics to Data-Driven Intelligent Regulation","source":"openalex","abstract":"Fixed-bed reactors are pivotal in chemical industries, where catalyst loading critically determines reactor performance and economy. This critical review delineates and analyzes a three-stage evolution of loading technology: from empirical manual methods, through scenario-adaptive innovations, to closed-loop intelligent systems. It aims to decode the underlying scientific principles, assess the performance enhancements and inherent limitations of each stage, and critically examine the architectural framework and constraints of intelligent loading systems. Industrial validation data, such as from a 2.4 Mt/a hydrocracker, demonstrate potential improvements (e.g., 20–22% catalyst life extension, 1.8% bed pressure-drop fluctuation). However, the progression presents complex trade-offs in terms of scalability, cost, and standardization. The future direction is discussed, pointing toward addressing challenges in multi-physics modeling, digital twin integration, and fundamental research gaps. This work provides a balanced framework for evaluating loading technology evolution, acknowledging its context-dependent applicability.","url":"https://doi.org/10.3390/catal16020123","authors":["Zili Xu","Wenming Liu","Hongmei Yin","Liu Xq"],"tags":["Heuristics","Computer science","Work (physics)","Risk analysis (engineering)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/catal16020123","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7116989056","name":"Digital Twins in Project Management: Conception and Practical Applications","source":"openalex","abstract":"The aim of this article is to present the overall conception of digital twin technology, examine its practical applications, and identify opportunities for its implementation in project management processes. As a result of studying various aspects of the scientific understanding of digital twins, six approaches to interpreting this concept have been identified: visual-representative, information-communication, analytical-predictive, functional-optimization, cybernetic-evolutionary, and intelligent-adaptive. This has made it possible to: establish a methodological basis for building a conceptual model of digital twins; understand which aspects of the technology are more developed (e. g., technical) and which require further study (e. g., managerial, cognitive); and substantiate the interdisciplinary value of the model, which encompasses both technical and socioeconomic dimensions, crucial for integrating digital twins into project management. The basic characteristics of Digital Twin technology have been examined, and examples of its application in various types of human activities are provided. It was found that digital twin technology has already evolved from a technical conception (replicating a physical object) into a strategic management tool that enables integrated process management, including analytics, forecasting, and decision-making. The combination of technological and managerial dimensions allows this technology to be seen as a key element of digital transformation in project management. It has been demonstrated that in project management, digital twins serve as an efficient tool to support decision-making at all stages of the project lifecycle. The general, managerial, socio-cognitive, and ecologically sustainable benefits of using digital twin technology in project management have been identified. Together, they provide substantial economic benefits – reducing planning and testing costs, increasing forecasting accuracy, optimizing resources, lowering risks, improving productivity and result quality, enhancing investment attractiveness, and strengthening projects’ competitive positions. Both general and specific issues of implementing digital twins in project management have been examined. Addressing them should rely on a comprehensive approach that combines technical maturity, regulatory frameworks, the development of digital competencies, and the establishment of a new data management culture. Future research directions in this area include the standardization of digital twin models, the creation of methodologies for their ethical use, and the development of interdisciplinary approaches for integrating this technology into project management systems. Particular attention should be paid to adapting existing models to the specifics of project management, improving tools for evaluating the effectiveness of their application, and studying the influence of digital twins on managerial decision-making in a dynamic digital environment.","url":"https://doi.org/10.32983/2222-4459-2025-10-190-203","authors":["Iryna B. Shevchuk","Bohdan Ya. Deputat"],"tags":["Digital transformation","Computer science","Process (computing)","Process management","Project management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.32983/2222-4459-2025-10-190-203","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7139103915","name":"Tensor Network Architectures for Clinical Digital Twin Simulation","source":"openalex","abstract":"The chapter explores tensor network architectures as efficient computational frameworks for simulating clinical digital twins in healthcare. Clinical digital twins are dynamic, patient-specific virtual models that integrate multimodal real-time data streams to mirror individual physiology, forecast disease trajectories, and enable predictive monitoring. High-dimensional physiological models face major challenges due to their complexity, biological variability, sparse subsystem interactions, noise, and missing data. Tensor networks offer compact low-rank decompositions that exploit hierarchical and sparse coupling to represent joint probability distributions over patient states. This work introduces tensor networks as a mathematically grounded compression and simulation layer for clinical digital twins. Key elements include tensor mathematics fundamentals, operations (contraction, permutation), a conceptual end-to-end pipeline from multimodal data ingestion to predictive outputs, and applications in patient-state monitoring and organ-system modeling. Practical implementation is demonstrated using TeNPy for tensor network construction and PyTorch for probabilistic/hybrid dynamics, with pseudocode illustrating patient state tensorization, intervention operators, subsystem coupling, and time evolution. This method bridges physics-informed tensor network techniques with clinical requirements, delivering greater interpretability and real-time personalized simulations.","url":"https://doi.org/10.5772/intechopen.1014698","authors":["Christopher Jenks"],"tags":["Interpretability","Computer science","Tensor (intrinsic definition)","Exploit","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"https://doi.org/10.5772/intechopen.1014698","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7171644785","name":"Characterizing Functional Clusters of V4 Neurons in Digital Twins","source":"openalex","abstract":"Abstract Neurons in primate visual cortical area V4 display tuning for multiple visual features, including color, shape, texture, and depth. Whether and how these neurons are organized into functional architectures remains largely unknown. Using two-photon calcium imaging in anesthetized macaques, we recorded responses of hundreds of V4 neurons to natural images and used these data to train deep convolutional neural network models (digital twins), obtaining synthetic images (SI) that maximized neuronal responses. Based on their SIs, these neurons clustered into classes that spatially matched the orientation, color, and curvature maps from intrinsic signal imaging. Furthermore, lesion study in digital twins revealed different integration rules for different neuron classes. Thus, digital twins of V4 neurons can be applied as a promising tool to characterize neurons’ fundamental features, which underlie the functional clustering in this area. Highlights Neurons in V4 are examined with two-photon calcium imaging and DCNN modeling (digital twins) Synthetic images derived from neurons’ digital twins reveal distinct neuron groups These groups match functional types defined by intrinsic signal optical imaging Lesion study in digital twins demonstrates neural mechanisms underlying feature tuning","url":"https://doi.org/10.64898/2026.07.25.740202","authors":["Rendong Tang","Qiongyi Zhou","Wenhao Zhao","Zhuoyue Dai","Rui Zhang","Jiayu Wang","Gongting Wang","Changde Du","Huiguang He","Haidong Lu"],"tags":["Neuroscience","Calcium imaging","Computer science","Artificial intelligence","Pattern recognition (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-28","doi":"https://doi.org/10.64898/2026.07.25.740202","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165532852","name":"Statistical and context-based diagnostics for Digital Twin environments","source":"openalex","abstract":"The Digital Twin concept is increasingly applied in engineering practice to support simulation-based design and validation processes.However, ensuring consistency between simulations and experimental data remains a critical challenge.In engineering systems identical statistical patterns can originate from different causes, so it may lead to incorrect diagnostic conclusions.This paper proposes an approach that integrates statistical validation methods with context-based reasoning to improve the interpretation of data in Digital Twin environments.The proposed framework combines data preprocessing techniques with statistical analysis and context-based reasoning.The applicability of the approach is shown through a representative case study.The results confirm that the integration of statistical methods with context-based reasoning enhances the robustness of Digital Twin systems and supports more effective use of simulation in modern engineering environments.","url":"https://doi.org/10.29354/diag/224917","authors":["Artur Król","Anna Timofiejczuk","Tomasz Łukasik"],"tags":["Computer science","Artificial intelligence","Statistical analysis","Identification (biology)","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.29354/diag/224917","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7134811610","name":"Artificial Intelligence Marketing Technologies and Consumer Purchasing Decisions: The Moderating Role of Virtual Customer Experience and Implications for Sustainable Consumption in Telecommunications Service Environments","source":"openalex","abstract":"Artificial intelligence (AI) marketing technologies are reshaping customer engagement in service sectors, yet their performance within integrated digital ecosystems remains poorly understood. Existing research often examines AI tools in isolation, overlooking how the holistic quality of the virtual customer experience (VCE) shapes their impact on consumer decisions, particularly in intangible service contexts such as telecommunications. This study addresses this gap by investigating the influence of four AI technologies—chatbots, dynamic pricing, voice search, and visual search—on purchasing decisions, with VCE tested as a critical moderating mechanism. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) and survey data from 487 telecommunications customers in Saudi Arabia, the findings confirm significant positive direct effects for all four AI tools. Moreover, the VCE significantly amplifies these individual relationships and further strengthens their combined contribution to decision quality, enabling the model to explain 71.2% of the variance in purchasing decisions. The results indicate that competitive advantage in AI-enabled service markets depends not on deploying isolated technologies, but on orchestrating a coherent, high-quality virtual experience ecosystem. By integrating the Technology Acceptance Model (TAM) and Stimulus–Organism–Response (SOR) framework, this study advances the theoretical understanding of how AI and experience design jointly enhance digital decision-making. Practically, it underscores the need for managers to prioritize integrated VCE design to drive sustainable consumption and strengthen customer loyalty in increasingly digital service environments.","url":"https://doi.org/10.3390/su18062674","authors":["Mohammad Mousa Mousa","Abdullah Saad Rashed","Mustafa Akaileh","Ahmad M. Zamil","Hebatallah A. M. AHMED","Abdelrahman A. A. ABDELGHANI"],"tags":["Marketing","Purchasing","Business","Knowledge management","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.3390/su18062674","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4319927876","name":"Green and Sustainable Hydrogen in Emerging European Smart Energy Framework","source":"openalex","abstract":"Abstract Green and sustainable hydrogen has a major role in moving towards decarbonization of energy, providing viable solutions in all most challenging sectors of the national economies. It would penetrate practically all sectors of economic activity, such as long-haul transport, steel and chemical industries, power generation and energy storage. Green and sustainable hydrogen cost competitiveness is also closely linked to developments of large-scale renewable energy sources (in case of green hydrogen; hereinafter – RES) and further commercialization of carbon dioxide (in case of sustainable hydrogen produced from natural gas; hereinafter – CO 2 ) capture and storage ( hereinafter – CCS) technologies. In the European Union ( hereinafter – EU), sustainable and especially green hydrogen is gaining strong political and business momentum, emerging as one of major components in governments’ net zero plans within the European Green Deal and beyond. Being extremely versatile both in production and consumption sides, it is light, storable, has high energy content per unit mass and can be readily produced at an industrial scale. The key challenge comes from the fact that hydrogen is the lightest known chemical element and so has a low energy density per unit of volume, making some forms of long-distance transportation and storage complex and costly. In this paper, green and sustainable hydrogen is reviewed as a vital part of emerging European smart energy framework, which could contribute significantly to economy decarbonization agenda of the EU and Latvia in both in short- and mid-term perspective.","url":"https://doi.org/10.2478/lpts-2023-0003","authors":["L. Jansons","Laila Zemīte","N. Zeltins","Ineta Geipele","Andris Backurs"],"tags":["Renewable energy","Commercialization","Hydrogen economy","European union","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-01","doi":"https://doi.org/10.2478/lpts-2023-0003","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7204161698","name":"An FKF Spectral Framework for Digital Twin Enabled Prediction","source":"openalex","abstract":"This study introduces an FKF-enabled intelligent supply-chain framework that integrates Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Digital Twins, and quantum optimization into a unified architecture. The FKF transform provides a mathematical spectral representation of supply-chain signals, enabling the identification of temporal shifts, modulation effects, multiscale patterns, demand fluctuations, and lead-time dynamics. These spectral features can be supplied to AI and machine-learning models to improve forecasting, anomaly detection, disruption prediction, and resilience assessment. IoT devices continuously provide real-time operational data from transportation, inventory, production, and logistics processes, while Blockchain supports secure data sharing, traceability, and transaction transparency across supply-chain participants. Digital Twins complement these technologies by creating dynamic virtual representations of physical supply-chain systems, allowing alternative scenarios, disruptions, and recovery strategies to be simulated before implementation. Quantum annealing is incorporated to address selected computationally intensive combinatorial decisions, such as routing, scheduling, resource allocation, and logistics configuration. By connecting FKF-based mathematical spectral intelligence with AI-driven analytics, trusted digital infrastructure, simulation capabilities, and emerging quantum optimization, the proposed framework provides an integrated pathway toward more predictive, adaptive, transparent, sustainable, and resilient supply-chain management. The content should be logically organized in a single paragraph, maintaining coherence and clarity throughout. Ensure that the abstract captures the research context, problem statement, approach, key results, and final conclusions in a balanced manner. Keywords— Quantum Computing; Quantum Annealing; Logistics Optimization; Unit Load Device Configuration; Supply Chain Management; Artificial Intelligence; Digital Twins; Blockchain; Supply Chain Resilience; FKF Transform.","url":"https://doi.org/10.55041/ijcope.v2i8.208","authors":["Shinde SM","Harle SM"],"tags":["Computer science","Cloud computing","Distributed computing","Transparency (behavior)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-25","doi":"https://doi.org/10.55041/ijcope.v2i8.208","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7166869729","name":"Digital Twins: What NDT Professionals Need to Know","source":"openalex","abstract":"The concept of the digital twin has moved rapidly from a theoretical idea into a central element of modern engineering, manufacturing, and asset management. It is frequently discussed in the context of Industry 4.0, artificial intelligence (AI), and advanced analytics, yet its practical meaning is often unclear, particularly in the context of nondestructive testing (NDT). For NDT professionals, the digital twin is not simply a virtual model or a data platform. Its value depends fundamentally on the quality, reliability, and interpretation of data describing the actual physical condition of an asset. What that means in practice becomes clear through an examination of the twins’ conceptual origins, functional architecture, and the role of inspection data in ensuring predictive capability and trustworthiness.","url":"https://doi.org/10.32548/2026.me-04576","authors":["Johannes Vrana"],"tags":["Nondestructive testing","Context (archaeology)","Engineering","Asset (computer security)","Meaning (existential)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.32548/2026.me-04576","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7170045378","name":"Human-centered Digital Twin in a dynamic manufacturing environment","source":"openalex","abstract":"Abstract The optimal design of products is crucial in the manufacturing industry due to its significant impact on economic performance, resource efficiency, and environmental sustainability. This study addresses a critical challenge in tire manufacturing: determining optimal extrusion initializations to improve production efficiency and product quality. To tackle this problem, the research explores the use of Digital Twins, a technology that facilitates the simulation of various scenarios without working directly with the physical system. Specifically, a data-driven Digital Twin approach is employed, which has shown promising computational efficiency in similar contexts. Despite its potential, several challenges associated with Digital Twins have been identified in the literature, including issues related to human–machine interaction, model adaptability to dynamic changes, data quality, and overall precision. This study advances Digital Twin technology by developing a framework that enables real-time identification and control of crucial physical parameters. The proposed approach emphasizes real-time computation, seamless process integration, adaptability to production demands, and user-friendly interaction for operators. This approach, according to our results, could avoid the 99% failed extrusions and could decrease 82% the time required to stabilize product quality. These outcomes demonstrate the practicality and effectiveness of the Digital Twin in improving manufacturing operations. The study also underscores the importance of incorporating human-centric design principles, ensuring that the technology not only enhances operational efficiency but also aligns with the needs of the operators. Overall, the research highlights the significant advancements and practical benefits of applying Digital Twin technology in tire manufacturing.","url":"https://doi.org/10.1017/dce.2026.10065","authors":["Eider Garate - Perez","Kerman López de Calle","Borja Calvo","Susana Ferreiro","Aitor Arnáiz","Álvaro García","Eider Garate","Aitor Arnaiz"],"tags":["Adaptability","Process (computing)","Product (mathematics)","Production (economics)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1017/dce.2026.10065","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"oa:W7165918470","name":"Towards AI-Enabled Engineering of Digital Twins: An Architecture-Centric Approach","source":"openalex","abstract":"Pre-print for ICSA 2026","url":"https://doi.org/10.5281/zenodo.20845378","authors":["Zihao Lin","Nguyen Khoi Tran","Muhammad Ali Babar"],"tags":["Computer science","Engineering","Systems engineering","Engineering drawing","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-25","doi":"https://doi.org/10.5281/zenodo.20845378","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W1983144512","name":"Doctoral Writing in the Visual and Performing Arts: Issues and Debates","source":"openalex","abstract":"Abstract Drawing from a larger study of doctorates in the visual and performing arts, we examine here the diversity of relations which can exist between the creative and written components of a doctoral thesis in these fields in terms of diversity of naming practices for these relations, institutional variation in guidelines and expectations, and fundamental functional roles for the respective components. By bringing together and highlighting key details in these debates and issues, this article provides a foundation for further studies in this complex area.","url":"https://doi.org/10.1111/j.1476-8070.2011.01700.x","authors":["Brian Paltridge","Sue Starfield","Louise Ravelli","Sarah Nicholson"],"tags":["Diversity (politics)","Foundation (evidence)","The arts","Sociology","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2011-06-01","doi":"https://doi.org/10.1111/j.1476-8070.2011.01700.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3179934812","name":"Serverless computing: a security perspective","source":"openalex","abstract":"Abstract In this article we review the current serverless architectures, abstract and categorize their founding principles, and provide an in-depth security analysis. In particular, we: show the security shortcomings of the analyzed serverless architectural paradigms; point to possible countermeasures; and, highlight several research directions for practitioners, Industry, and Academia.","url":"https://doi.org/10.1186/s13677-022-00347-w","authors":["Eduard Marin","Diego Perino","Roberto Di Pietro"],"tags":["Perspective (graphical)","Categorization","Computer science","Point (geometry)","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-23","doi":"https://doi.org/10.1186/s13677-022-00347-w","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7131265723","name":"A Survey of Smart Grid Emerging Use Cases and Relevant 5G and 6G Capabilities and Features","source":"openalex","abstract":"The growing complexity of modern energy systems has led to the adoption of Smart Grid (SG) that use advanced communication technologies to facilitate efficient, reliable, secure, and sustainable energy operation and management. Unlike existing surveys that often treat grid and communication domains separately, this work rigorously quantifies service requirements for high-complexity emerging scenarios. It provides a comprehensive overview of SG architecture that integrates digital communication infrastructure with distributed energy resources (DERs), microgrids, energy storage systems, and cybersecurity frameworks. Furthermore, emerging SG use cases such as smart distributed voltage control, real-time fault detection and self-healing, smart and autonomous monitoring, and predictive maintenance are identified, and more importantly, service performance requirements associated with these use cases have been quantified. Additionally, key capabilities and emerging SG enablers of fifth-generation (5G) and sixth-generation (6G) networks are described. These capabilities and enablers include network slicing, edge computing, spectrum management, artificial intelligence (AI) driven optimization, digital twins, and Open-Radio Access Network (O-RAN). Finally, the paper discusses open challenges and future research directions for designing scalable, intelligent, and secure next-generation SG systems.","url":"https://doi.org/10.1109/access.2026.3667671","authors":["Manoj Kumar","Nishith D. Tripathi","Jeffrey H. Reed"],"tags":["Smart grid","Computer science","Key (lock)","Service (business)","Open research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/access.2026.3667671","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4415820067","name":"Reproducing Cold-Chain Conditions in Real Time Using a Controlled Peltier-Based Climate System","source":"openalex","abstract":"Temperature excursions during refrigerated transport strongly affect the quality and shelf life of perishable food, yet reproducing realistic, time-varying cold-chain temperature histories in the laboratory remains challenging. In this study, we present a compact, portable climate chamber driven by Peltier modules and an identification-guided control architecture designed to reproduce real refrigerated-truck temperature histories with high fidelity. Control is implemented as a cascaded regulator: an outer two-degree-of-freedom PID for air-temperature tracking and faster inner PID loops for module-face regulation, enhanced with derivative filtering, anti-windup back-calculation, a Smith predictor, and hysteresis-based bumpless switching to manage dead time and polarity reversals. The system integrates distributed temperature and humidity sensors to provide real-time feedback for precise thermal control, enabling accurate reproduction of cold-chain conditions. Validation comprised two independent 36-day reproductions of field traces and a focused 24-h comparison against traditional control baselines. Over the long trials, the chamber achieved very low long-run errors (MAE≅0.19 °C, MedAE≅0.10 °C, RMSE≅0.33 °C, R2=0.9985). The 24-h test demonstrated that our optimized controller tracked the reference, improving both transient and steady-state behaviour. The system tolerated realistic humidity transients without loss of closed-loop performance. This portable platform functions as a reproducible physical twin for cold-chain experiments and a reliable data source for training predictive shelf-life and digital-twin models to reduce food waste.","url":"https://doi.org/10.3390/s25216689","authors":["Javier Garrido López","Alfonso P. Ramallo-González","Manuel Jiménez Buendía","Ana Toledo","Roque Torres-Sánchez"],"tags":["PID controller","Transient (computer programming)","Controller (irrigation)","Temperature control","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.3390/s25216689","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2028430282","name":"Correction of stromal cell defect after bone marrow transplantation in aplastic anaemia","source":"openalex","abstract":"Defects in stromal cell function have been demonstrated in a number of aplastic anaemia (AA) patients. Here we have studied a patient with severe AA and abnormal stromal cell function who underwent bone marrow transplantation (BMT). The objective of this study was to investigate the timing and the mechanism of correction of the stromal defect after transplantation. The patient, a 25-year-old woman with severe AA, underwent BMT from her brother. BM was obtained from the patient on five occasions: 2 weeks pre BMT, and 3, 8, 16 and 21 months post BMT. Stromal cells were grown to confluence and recharged with purified CD34+ cells from normal donors. The support of such cells, as assessed by weekly colony-forming assay (CFU) of non-adherent cells, was compared with that of stromal layers grown from normal BM. A novel technique of combined fluorescence in situ hybridization (FISH) and immunocytochemistry was used to determine the origin of specific stromal cell types on cytospins of stroma post BMT. Stromal function was defective at 2 weeks pre BMT and at 3 months post BMT, but returned to normal at 8 and 16 months post BMT. At 21 months post BMT, stromal fibroblasts and endothelial cells were shown to be of recipient origin, and macrophages and T cells were of donor origin. We present here evidence in a case of severe AA for defective stromal function before BMT and delayed normalization of function after BMT. This correlated with engraftment of donor macrophages and T cells, but not fibroblasts and endothelial cells.","url":"https://doi.org/10.1046/j.1365-2141.2001.03134.x","authors":["John Scopes","M. Ismail","Karen Marks","Timothy R Rutherford","Gwen S. Draycott","Christopher Pocock","E. C. Gordon‐Smith","Frances M. Gibson"],"tags":["Stromal cell","CD34","Bone marrow","Medicine","Transplantation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2001-12-01","doi":"https://doi.org/10.1046/j.1365-2141.2001.03134.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7160915548","name":"Tinkering With the Planet: The Contested Imaginaries of a Digital Twin Earth","source":"openalex","abstract":"Abstract This chapter studies the emergence of a new technological initiative jointly conducted by the European Space Agency and the European Union: the vision of a digital twin Earth (DTE). The idea behind the DTE is to combine various technologies, including satellite Earth observation, advanced computer models, and AI, to build a digital replica of our planet and thereby predict and visualize (future) risks emanating from global environmental changes. The chapter traces the competing actor coalitions advancing DTE projects and discusses the underlying imaginaries and discourses. Understanding the DTE as a sociotechnical imaginary allows us to understand why this vision, which has been around for decades, has gained traction within the EU. This perspective highlights how the development of European space and supercomputing infrastructures (as the required technologies behind the DTE) was co-produced with discourses of European digital sovereignty and a redirection of security toward complex planetary threats. To establish these arguments, the contribution draws on participant observation at major European space policy events (2018–2021), discourse analysis of key policy documents on the DTE and the broader European Earth observation program Copernicus, and 22 semi-structured interviews with experts from different parts of the space policy field.","url":"https://doi.org/10.1007/978-3-032-11497-6_7","authors":["Delf Rothe"],"tags":["Sociotechnical system","Sovereignty","Agency (philosophy)","The Imaginary","Space (punctuation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-11497-6_7","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7162039214","name":"A Systematic Review of Data Fusion Techniques for Digital Twin Applications in the AEC Sector: Perspectives for Geotechnical Engineering","source":"openalex","abstract":"The transformative role of Digital Twins (DTs) in the Architecture, Engineering, and Construction (AEC) sector lies in their capacity to generate dynamic, data-driven representations of physical assets that support design, construction, and lifecycle management. To achieve their full potential, DTs must integrate accurate geometric models with continuously updated information reflecting real-world conditions. This information is inherently multidisciplinary and heterogeneous, encompassing structural, environmental, operational, and monitoring data characterized by different spatial and temporal scales. Integrating these diverse datasets into a unified DT environment presents significant challenges related to data heterogeneity, interoperability, varying resolutions, data quality, and uncertainty. This paper presents a PRISMA-based systematic literature review of data fusion techniques applied to DTs within the AEC sector, with particular emphasis on geotechnical and underground infrastructure. A Scopus search conducted on 31 March 2026 retrieved 10,124 records. After sequential screening, 1916 geotechnical-related records were retained for quantitative characterization, 719 records were assessed for eligibility, 454 reports were retained for manual assessment, and 82 studies were finally included in the detailed qualitative review. Existing approaches are classified according to their integration paradigms, methodological foundations, and application domains. Particular attention is given to applications in Geotechnical Engineering, where DTs must integrate sparse, indirect, and highly uncertain subsurface data. Geological conditions are characterized by strong spatial variability, limited observability, material heterogeneity, and epistemic uncertainty, which introduce additional complexities for data fusion compared to surface infrastructure systems. By synthesizing current developments and identifying methodological trends and research gaps, this review provides a structured framework to support the selection and adaptation of data fusion strategies for geotechnical DTs and other complex AEC applications operating under high uncertainty.","url":"https://doi.org/10.3390/app16105170","authors":["Raúl Sotomayor Sotelo","Fidel Lozano-Galant","Jose Antonio Lozano-Galant","Magí Domingo","Jose Turmo"],"tags":["Computer science","Data integration","Sensor fusion","Scopus","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-21","doi":"https://doi.org/10.3390/app16105170","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7127048644","name":"Digital twins: a synthesis of complexity theory and artificial intelligence","source":"openalex","abstract":"Purpose. The objective of this study is to analyze the concept of digital twins as a technology integrating complexity theory and artificial intelligence, and to examine their applications across various fields. Particular emphasis is placed on mathematical approaches to the construction of digital twins, their distinctions from traditional mathematical models, and future development prospects. Methods. This research employs an interdisciplinary approach, incorporating an analysis of contemporary technologies such as physics-informed neural networks, reduced-order models, graph neural networks, and reservoir computing. A comparison of first-principles and data-driven modeling methods is conducted, with a focus on their integration for creating hybrid digital twins. Results. The findings demonstrate that digital twins possess unique characteristics, including dynamism, adaptability, and bidirectional interaction with physical objects. The key advantages and limitations of various mathematical approaches are identified, encompassing their applicability in industry, medicine, economics, and other domains. A general mathematical formalization of a digital twin, integrating traditional models and machine learning methods, is proposed. Conclusion. The prospects for the development of digital twins are outlined, including the creation of end-to-end ecosystems and the advancement of hybrid approaches for modeling complex nonlinear processes. The importance of further integration of complexity theory and artificial intelligence methods to enhance the accuracy and adaptability of virtual models is emphasized. Digital twins present new opportunities for the forecasting and management of complex systems under uncertainty, establishing them as a pivotal tool in science, industry, and society.","url":"https://doi.org/10.18500/0869-6632-003211","authors":["Andrey Andreev","Levan Daraselya","Federal State Autonomous Institution “Digital Industrial Technologies”, Moscow, Russia","Vladimir Dozhdev","Ministry of Industry and Trade of the Russian Federation, Moscow, Russia","Aleksandr Shenderyuk-Zhidkov","Vasily Shpak","Aleksandr Hramov"],"tags":["Computer science","Artificial intelligence","Adaptability","Key (lock)","Mathematical theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.18500/0869-6632-003211","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4398223952","name":"The commoditization of civil nuclear power","source":"openalex","abstract":"The commoditization of nuclear power through the factory production of sealed micro-power units within a digitally enabled holistic assurance framework is described. This would revolutionize nuclear power-plant design, construction, operation and decommissioning through a paradigm shift to manufacture-operate-remove-recycle (MORR). The potential impact of recent research on an integrated nuclear digital environment for large bespoke nuclear power plants and the design, build and operation of fusion power plants using such a digital environment is explored. These strands are interwoven to discuss the technical, economic and socio-political implications of MORR in the context of micro-reactors and to consider the potential evolution of safeguarding issues based on a digital assurance framework that leads to type approvals. Commoditization of nuclear power would lower costs in line with offshore wind and the output from a single production line in a factory could replace a third of current fossil fuel-based electricity generation in the UK over a 15-year period, making a significant contribution to achieving zero greenhouse gas emissions. The challenges associated with the changes in culture, both in the nuclear industry and in society, as well as the technology gaps, that need to be addressed in realizing this paradigm shift are identified and discussed.","url":"https://doi.org/10.1098/rsos.240021","authors":["Eann A. Patterson","Richard Taylor"],"tags":["Commoditization","Nuclear decommissioning","Nuclear power","Bespoke","Nuclear weapon"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-01","doi":"https://doi.org/10.1098/rsos.240021","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7125103566","name":"Open Public Data and the Path to Urban Sustainable Development: A Resilience Perspective","source":"openalex","abstract":"ABSTRACT Within the framework of sustainable development in the digital era, the vast yet inactive reservoir of public data represents a hidden pathway toward building resilient cities. This point has often been overlooked in existing research. Our core objective is to investigate the impact of China's public data openness (PDO) on urban resilience. This action aims to establish public data platforms and provide more publicly accessible, machine readable, and freely usable public data in order to fully unlock the value of public data. We find that PDO significantly enhances urban resilience, with an average treatment effect of 0.003. This conclusion remains valid after a series of robustness tests. Specifically, PDO improves economic resilience, infrastructure resilience, and institutional resilience, but has no significant effect on social resilience and even exerts a negative impact on ecological resilience. Meanwhile, the impact of PDO on urban resilience is not uniform and varies across different types of cities. We also find that PDO improves urban resilience by promoting technological innovation, fostering emerging industries, and advancing digital finance. Moreover, PDO generates a significant positive spatial spillover effect on the urban resilience of neighboring areas, and the spatial spillover boundary is well defined. Our study extends the traditional framework of urban digital governance and provides practical policy insights for emerging countries experiencing rapid urbanization on how to fully unlock the potential of public data and enhance urban resilience.","url":"https://doi.org/10.1002/sd.70695","authors":["Wei Jiang","Nana Jiang","Donghua Yu"],"tags":["Urbanization","Sustainable development","Urban resilience","Business","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-21","doi":"https://doi.org/10.1002/sd.70695","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7170989359","name":"Digital Twin Modeling of a Highly Automated Agricultural Tractor","source":"openalex","abstract":"In efforts to increase research efficiency and availability, a digital twin of our research tractor (AMX G-trac) is created, focusing especially on the CAN communication for data reading and actuation command following the ISOBUS protocol. Mevea Simulation Software is utilized as the foundation, providing the kinematic model and visuals, while Python is used to read and write CAN messages over a Kvaser CanKing virtual CAN channel. Various performance tests involving straight line and turning behavior are performed in both the digital twin simulation and in the real world to measure similarity. Results indicate that the Mevea model behaves very comparable in its lateral dynamics, often within 5-10 percent, but requires better data to fully capture the longitudinal aspects like acceleration. The final model described in this paper sets the table for a second iteration to include more tractor functions such as hydraulics and tractor-implement dynamics.","url":"https://openalex.org/W7170989359","authors":["Clay Hallman","Lukas Pindl","Timo Oksanen"],"tags":["Tractor","Computer science","Kinematics","Software","Python (programming language)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-22","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4386850237","name":"Ship Carbon Intensity Indicator Assessment via Just-in-Time Arrival Algorithm Based on Real-Time Data: Case Study of Pusan New International Port","source":"openalex","abstract":"Decarbonization is the most urgent task for the shipping industry. The International Maritime Organization, which makes the rules for shipping companies, has strengthened their carbon emissions regulation in order to reduce emissions to 70% of 2008’s carbon emissions by 2050. However, 75% of the existing fleet cannot satisfy this carbon emission regulation. The building of new vessels makes it possible to reduce carbon emissions and satisfy this regulation through adopting eco-friendly propulsion methods, such as LNG, ammonia, and methanol propulsion. However, the existing vessels on the sea find it difficult to dock and change their propulsion equipment. This research aims to propose a novel voyage operation method—a just-in-time arrival policy—that converts vessels’ waiting time into voyage time. The proposed method can reduce carbon emissions without propulsion system alteration and expand a vessel’s lifespan, thus satisfying carbon regulations. The carbon intensity indicator, invented by the IMO to regulate vessel carbonization, assesses the quantity of reduced carbon emissions. This research investigated the variation in the carbon intensity indicators of vessels when the just-in-time arrival policy was applied through studying an actual vessel’s arrival and departure dates at the Pusan International container terminal. According to the results of our analysis, ship carbon emissions decreased by an average of 45.8%, and by a maximum of 91%, compared to the levels before applying the proposed method. In addition, 87.0% of vessels obtained a carbon intensity indicator rank improvement and expanded the period that can satisfy the carbon intensity regulation by an average of eleven years and a maximum of twenty-seven years through applying the proposed just-in-time arrival policy. Additionally, the improvement effect of the carbon intensity rank positively correlates with ship size and waiting time at the port.","url":"https://doi.org/10.3390/su151813875","authors":["Sewon Kim","Jeong-On Eom"],"tags":["Greenhouse gas","Carbon fibers","Port (circuit theory)","Propulsion","Intensity (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-18","doi":"https://doi.org/10.3390/su151813875","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7128078898","name":"Digitainability in Education: A Framework for Sustainability and Digitality as a Twin Transformation","source":"openalex","abstract":"Digitainability is increasingly invoked at the intersection of sustainability and digital transformation. Yet in education, the discourses are still often negotiated separately. Drawing on disciplinary educational debates across Germany, Austria and Switzerland (the DACH region), this conceptual paper argues that sustainability-related aims in education—particularly SDG target 4.7—remain conceptually under-specified when digitality (as a socio-technical condition) is approached primarily as a toolkit. Conversely, it suggests that the digital transformation in education can only be assessed and shaped responsibly when sustainability and justice are treated as integral to the analysis and design of educational processes. The paper therefore proposes the Digitainability Framework as a heuristic for reflection, analysis and design—not as a competence model. It specifies a double perspective: sustainable digitality (the design of ‘onlife’ environments) and sustainability under conditions of digitality (the negotiation of sustainability conflicts in media-shaped, increasingly platformised publics). Across both perspectives, the framework makes explicit four intersecting framings—cultural, power-related, discursive, and agent-related—and keeps sustainability in view across social, ecological, and economic dimensions. A brief example on social media and climate discourses illustrates the framework’s analytical and design potential.","url":"https://doi.org/10.20944/preprints202602.0278.v1","authors":["Richard Böhme"],"tags":["Sustainability","Negotiation","Competence (human resources)","Sociology","Conceptual framework"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-05","doi":"https://doi.org/10.20944/preprints202602.0278.v1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7128538667","name":"From Point Clouds to Predictive Maintenance: A Review of Intelligent Railway Infrastructure Monitoring","source":"openalex","abstract":"Point cloud technology, characterized by its high-precision 3D geometric acquisition in complex railway environments, has become a cornerstone for the intelligent detection, monitoring, and maintenance of railway infrastructure. This paper provides a systematic review of point cloud applications across critical railway scenarios, encompassing track geometry extraction, infrastructure component identification, tunnel and bridge modeling, clearance and encroachment analysis, and structural condition monitoring. We evaluate various mobile and stationary acquisition platforms alongside their typical data processing workflows. Furthermore, this review synthesizes cutting-edge advancements in processing algorithms, with a focus on feature extraction, semantic segmentation, and the transformative impact of deep learning and artificial intelligence on data fusion. Notably, the paper explores the synergy between point clouds and computational mechanics, specifically the construction of high-fidelity digital twins through multi-physics coupling to enable real-time simulation of structural stress distribution and damage evolution. We critically analyze persistent technical bottlenecks, such as acquisition efficiency, monitoring precision, data fragmentation, environmental interference, and the complexities of multi-modal data fusion. Finally, the paper outlines future research trajectories, focusing on autonomous intelligent sensing, multi-sensor integration, and the comprehensive digital transformation of railway infrastructure management, aiming to provide a robust theoretical framework and technical roadmap for the sustainable intelligentization of global railway systems.","url":"https://doi.org/10.3390/s26041131","authors":["Yalin Zhang","Peng Dai","Mykola Sysyn","Yuchuan Hu","Lei Kou","Haoran Song","Jing Shi"],"tags":["Point cloud","Cloud computing","Bridge (graph theory)","Computer science","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.3390/s26041131","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4317796713","name":"Power Generation Control Algorithm for the Participation of Photovoltaic Panels in Network Stability","source":"openalex","abstract":"The push for renewable energy and sustainable development has led to an ever-increasing integration of grid-tied photovoltaic (PV) systems. To maximize revenue, this resource generally operates in maximum power point trackers (MPPT) mode. However, to ensure grid stability and reliability, system operators will continue to introduce new requirements, eventually forcing PV plants to adhere to primary frequency regulation. To perform this task, PV plants will have to be capable of operating outside the MPP and varying their power production, to maintain an active power reserve, according to grid request. This article presents an innovative model-based (MB) tracking algorithm devoted to supporting power network regulation. Due to the updated formulation, the algorithm can vary the power curtailment according to a reduction factor given by the power system operators. Results show the remarkable performance and accuracy of the new algorithm, providing power regulation capability in the range 20%–100% of the maximum available power. Moreover, the impact of the employment of constant reduction coefficients on the algorithm performances has been evaluated. Validation has been performed based on the data collected over an observation interval of more than six months. Due to its flexibility, this could be the basis for the participation of PV systems to frequency regulation.","url":"https://doi.org/10.1109/tim.2023.3238745","authors":["Loredana Cristaldi","Marco Faifer","Christian Laurano","Roberto Ottoboni","Emil Petkovski","Sergio Toscani"],"tags":["Maximum power point tracking","Photovoltaic system","Electric power system","Computer science","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/tim.2023.3238745","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4388235097","name":"Victimization by Deepfake in the Metaverse: Building a Practical Management Framework","source":"openalex","abstract":"Deepfake is digitally altered media aimed to deceive online users for political favor, monetary gain, extortion, and more. Deepfakes are the prevalent issues of impersonation, privacy, and fake news that cause substantial damage to individuals, groups, and organizations. The metaverse is an emerging 3-dimensional virtual platform led by AI and blockchain technology where users freely interact with each other. The purpose of this study is to identify the use of illicit deep fakes which can potentially contribute to cybercrime victimization in the metaverse. The data will be derived from expert interviews (n=8) and online open sources to design a framework and provide solutions to mitigate deepfake-related victimization in the metaverse. This study identifies and further suggests a framework for advocacy of deepfake crime victimization in the metaverse through the application of the routine activities theory, as well as offender motivation and potential explanation of criminal behavior through Eysenck’s theory of criminality.","url":"https://doi.org/10.52306/2578-3289.1171","authors":["Julia Stavola","Kyung-Shick Choi"],"tags":["Metaverse","Extortion","Cybercrime","Computer science","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-30","doi":"https://doi.org/10.52306/2578-3289.1171","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7196961589","name":"Integration of digital twin technologies in smart grid substations","source":"openalex","abstract":"Abstract In the era of Industry 5.0, digital transformation of smart grid substations is crucial to address growing demands for efficiency and reliability. However, conventional substations lack real-time monitoring. Fault detection takes a long time, and predictive maintenance is substandard. In this research, an entirely new approach is proposed to transform substation work processes by combining Digital Twin (DT) technologies with an algorithm based on Gradient Boosting Machine (GBM) designs. Within the confines of a digital twin technology, a substation can begin to operate, and hence a virtual representation, which can be termed, an operating digital twin of a substation can be created ready for real time, predictive fault diagnosis, and active asset management. The solution proposed reduces total operational downtime by 30% and increases fault detection performance by 25%, the results supported by the following performance metrics Precision 94%, Recall 91%, and F1-score 92%. Analysis performed in the MATLAB simulations proves that the substations adaptive control systems can maintain the stability and reliability of the electricity grid system with variable loads and environmental conditions, thereby allowing the creation of advanced smart substations which are more efficient and reliable.","url":"https://doi.org/10.1007/s12083-026-02275-x","authors":["Jiaxin Lin","Wenyuan Wu","Bo Hu","Qiang Qin","Hanye Huang"],"tags":["Smart grid","Engineering","Reliability engineering","Downtime","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-07","doi":"https://doi.org/10.1007/s12083-026-02275-x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7116942832","name":"A Critical Review of Green Hydrogen Production by Electrolysis: From Technology and Modeling to Performance and Cost","source":"openalex","abstract":"As the world shifts toward a low-carbon future, green hydrogen has emerged as a critical pillar of the energy transition. It is produced using renewable energy to power water electrolysis, and it is a clean and flexible alternative to hydrogen made from fossil fuels. However it is still hard to roll out on a large scale because of technological limits, high costs, and the need for infrastructure. This review critically analyzes current electrolysis methods, including established systems like alkaline and PEM electrolyzers, as well as newly developed concepts such as AEMWE and SOWE. It discusses how they can be used in renewable energy systems, important techno-economic and durability problems, system modeling, and grid interaction. This work clarifies both the technological potential and the practical limitations of green-hydrogen electrolyzer systems while highlighting key directions for future research and implementation.","url":"https://doi.org/10.3390/en19010059","authors":["Rafika Louli","Stéfan Giurgea","Issam Salhi","Salah Laghrouche","Abdesslem Djerdir"],"tags":["Renewable energy","Power to gas","Hydrogen production","Fossil fuel","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/en19010059","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7165064935","name":"Sandbox-Enabled Digital Twin for Cyber-Physical Systems","source":"openalex","abstract":"Firmware/software in cyber-physical system (CPS) embedded devices/controllers can have vulnerabilities stemming from multiple sources such as weak security practices, outdated libraries, or supply chain attacks that induce adversarial effects under plant state-based triggers. However, pre-deployment validation of CPS controllers typically relies on digital twins that model controller logic as a black box. On the other hand, side channel monitoring and anomaly detection of CPS controller firmware/software is complementary, but is typically exercised with synthetic inputs or under specific CPS operational profiles and does not simultaneously track software execution and CPS plant evolution. To bridge this gap, we present a closed-loop digital twin framework that hosts unmodified controller binaries in a Linux sandbox (SaMOSA) with its I/O rerouted to an external plant simulator. The framework captures four time-synchronized side channels (hardware performance counters, system calls, disk activity, network activity) alongside plant state and provides orchestration hooks for automated, repeatable, parameterized runs. We demonstrate the framework on an OpenPLC runtime controlling a Modbus-connected IEEE 14-bus power system, and also briefly discuss application to robotics systems. The synchronized traces correlate internal controller execution with plant events, providing an observability foundation for online testing, coverage analysis, and vulnerability detection.","url":"https://doi.org/10.1109/iolts69666.2026.11633564","authors":["Meet Udeshi","Md Raz","P. Krishnamurthy","Ramesh Karri","Farshad Khorrami","Prashanth Krishnamurthy"],"tags":["Observability","Controller (irrigation)","Executable","Sandbox (software development)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-15","doi":"https://doi.org/10.1109/iolts69666.2026.11633564","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"oa:W7203577777","name":"Digital Twin implementation for condition monitoring of a collaborative robot","source":"openalex","abstract":"The article presents the implementation and experimental verification of a Digital Twin framework for sensorless condition monitoring, understood as monitoring without the need for additional, non-native sensing hardware, of a Universal Robots UR3e collaborative robot.The system combines real-time data acquisition via the RTDE interface with a virtual reference model estimating nominal motor-current behaviour during repeatable motion cycles.The anomaly detection criterion is based on residuals between measured and predicted current signals, enabling the distinction between process disturbances and mechanical degradation.Validation on a CP-Factory workstation using a figure-eight trajectory, induced resistance and simulated payload loss shows sensitivity to low-amplitude anomalies and allows separation of friction increase, joint resistance and payload loss.","url":"https://doi.org/10.29354/diag/226162","authors":["Iwona Komorska","Grzegorz Stefaniak"],"tags":["Condition monitoring","Computer science","Robot","Control engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-17","doi":"https://doi.org/10.29354/diag/226162","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7163191532","name":"Digital twin for joining mechanical structures in assembly processes","source":"openalex","abstract":"Abstract Ensuring geometric accuracy in joining mechanical structures is a key challenge in smart manufacturing, particularly during assembly. To improve assembly and joining accuracy, this paper employs digital twin technology, with a focus on high-fidelity digital modeling as a foundational step toward realizing digital twins–while treating bidirectional automated data flow as a future development direction. Digital twin models are developed for two representative joint types: threaded connections and spot-welded sheet metal structures, incorporating critical influences from manufacturing, assembly, and service phases. Compared to traditional idealized simulations, the proposed models enable more effective assembly process optimization and enhanced geometric quality control.","url":"https://doi.org/10.1007/s10845-026-02884-6","authors":["Qimuge Saren","Roham Sadeghi Tabar","Rikard Söderberg","Kristina Wärmefjord"],"tags":["Process (computing)","Key (lock)","Engineering drawing","Focus (optics)","Joint (building)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.1007/s10845-026-02884-6","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4214908151","name":"United Arab Emirates: 2021 Article IV Consultation-Press Release; and Staff Report","source":"openalex","abstract":"A swift policy response helped mitigate the economic impact of the twin COVID-19 and oil price shocks and contain the initial spread of the virus. A gradual recovery driven by the non-oil sector is underway, following a deep recession in 2020. Fiscal and external balances have improved with recent oil price increases. The UAE is among the world leaders in delivering vaccinations, with nearly 85 percent of the population fully vaccinated as of October 2021.","url":"https://doi.org/10.5089/9798400202834.002","authors":["International Monetary Fund. Middle East and Central Asia Dept."],"tags":["Library science","Political science","Medicine","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-01","doi":"https://doi.org/10.5089/9798400202834.002","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7161161234","name":"A knowledge graph framework for digital twins of chemical processes","source":"europepmc","abstract":"A digital twin, which virtually replicates a real system and fuses data, models and domain knowledge, is a key technology for accelerating chemical process development and addressing sustainability challenges. Despite its potential, one critical challenge lies in the lack of a systematic approach to integrate data, domain knowledge and predictive models to contextualize and represent chemical processes effectively. Here we propose a knowledge graph framework associated with autonomous functional agents to support the development of digital twins for chemical processes, enabling the seamless incorporation of chemical databases, artificial intelligence models and large language models. Ontologies are developed for physical models of chemical processes, allowing scalable model construction and calibration. We demonstrate the framework with practical case studies focusing on bottom-up model assembly, top-down model search and model-based reaction optimization. The framework presents an approach to manage models as a depository of chemical process knowledge, providing a foundation of digital twin technology for future chemical process development and manufacturing.","url":"https://doi.org/10.1038/s44286-026-00392-1","authors":["Shuyuan Zhang","Jiyizhe Zhang","Alexei A. Lapkin"],"tags":["Computer science","Chemical process","Process (computing)","Scalability","Domain (mathematical analysis)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1038/s44286-026-00392-1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4396733676","name":"Green Synthesis of Bioplastics from Microalgae: A State-of-the-Art Review","source":"openalex","abstract":"The synthesis of conventional plastics has increased tremendously in the last decades due to rapid industrialization, population growth, and advancement in the use of modern technologies. However, overuse of these fossil fuel-based plastics has resulted in serious environmental and health hazards by causing pollution, global warming, etc. Therefore, the use of microalgae as a feedstock is a promising, green, and sustainable approach for the production of biobased plastics. Various biopolymers, such as polyhydroxybutyrate, polyurethane, polylactic acid, cellulose-based polymers, starch-based polymers, and protein-based polymers, can be produced from different strains of microalgae under varying culture conditions. Different techniques, including genetic engineering, metabolic engineering, the use of photobioreactors, response surface methodology, and artificial intelligence, are used to alter and improve microalgae stocks for the commercial synthesis of bioplastics at lower costs. In comparison to conventional plastics, these biobased plastics are biodegradable, biocompatible, recyclable, non-toxic, eco-friendly, and sustainable, with robust mechanical and thermoplastic properties. In addition, the bioplastics are suitable for a plethora of applications in the agriculture, construction, healthcare, electrical and electronics, and packaging industries. Thus, this review focuses on techniques for the production of biopolymers and bioplastics from microalgae. In addition, it discusses innovative and efficient strategies for large-scale bioplastic production while also providing insights into the life cycle assessment, end-of-life, and applications of bioplastics. Furthermore, some challenges affecting industrial scale bioplastics production and recommendations for future research are provided.","url":"https://doi.org/10.3390/polym16101322","authors":["Adegoke Isiaka Adetunji","Mariana Erasmus"],"tags":["Bioplastic","Biopolymer","Environmentally friendly","Polyhydroxybutyrate","Biochemical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-08","doi":"https://doi.org/10.3390/polym16101322","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7202363511","name":"Digital Dissemination of Textile Intangible Cultural Heritage Craftsmanship Combined with Digital Twins","source":"openalex","abstract":"Textile intangible cultural heritage preservation faces significant challenges in process reconstruction, semantic continuity, and interactive dissemination. To address these issues, this study proposes a digital dissemination framework that integrates digital twin technology with three-dimensional geometric reconstruction, motion capture, and immersive interaction. High-fidelity models are generated through laser scanning and multi-view photogrammetry, while IMU-based motion acquisition and skeletal animation are employed to restore complex craft operations with dynamic synchronization and predictive correction. The system further combines physics-based simulation, metadatadriven process organization, and a WebXR-enabled interaction platform to establish a closed-loop workflow linking physical behaviors with virtual representations. Considering that modern wearable sensing and digital twin systems increasingly depend on electromagnetic signal acquisition and wireless information transmission, the proposed framework also provides a reference architecture for intelligent sensing platforms involving antenna-assisted communication and multimodal electromagnetic data integration. Experimental results demonstrate a point cloud overlap rate of 94.2%, geometric reconstruction errors as low as 0.47 mm, action synchronization exceeding 90% at key process nodes, and interaction latency below 70 ms under high-load conditions. The proposed approach achieves highfidelity restoration and immersive dissemination of textile craftsmanship while offering valuable technical insights for digital heritage preservation, intelligent wearable systems, and electromagnetic-enabled interactive applications.","url":"https://doi.org/10.7716/aem.v15i3.3052","authors":["W. Zhao"],"tags":["Cultural heritage","Wearable computer","Workflow","Process (computing)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-13","doi":"https://doi.org/10.7716/aem.v15i3.3052","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3128307304","name":"Tensor-Based Algebraic Channel Estimation for Hybrid IRS-Assisted MIMO-OFDM","source":"openalex","abstract":"We consider the channel estimation problem in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems assisted by intelligent reconfigurable surfaces (IRSs). To avoid the inherent estimation ambiguities of the two-hop channels from mobile stations (MS) to the base station (BS), we adopt a hybrid IRS architecture composed of passive reflectors and active sensors, and establish two independent subproblems of estimating the MS-to-IRS and BS-to-IRS channels. By leveraging the sparse characteristics of high-frequency propagation, we model the training signals as multi-dimensional canonical polyadic decomposition (CPD) tensors with missing fibers or slices. We develop algebraic algorithms to solve the tensor completion problems and recover channel multipath parameters, i.e., angles of arrival, time delays and path gains. Our methods require neither random initialization nor iterative operations, and for these reasons they can perform robustly with a low computational complexity. Moreover, we investigate the uniqueness condition of CPD tensor completion, which can be utilized to inform both the physical design of hybrid IRSs and the time-frequency resource allocation of training strategies. Simulation results indicate that the proposed schemes outperform the traditional counterparts in terms of accuracy, robustness and complexity, especially for the case of low-complexity IRSs with limited number of active sensing elements.","url":"https://doi.org/10.1109/twc.2021.3053580","authors":["Yuxing Lin","Shi Jin","Michail Matthaiou","Xiaohu You"],"tags":["Computer science","Initialization","Robustness (evolution)","MIMO","Orthogonal frequency-division multiplexing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-29","doi":"https://doi.org/10.1109/twc.2021.3053580","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3159278151","name":"Planning for Sustainability: An Emerging Blue Economy in Russia’s Coastal Arctic?","source":"openalex","abstract":"The main research objective of this study is to examine how coastal urban communities in the Arctic Zone of the Russian Federation (AZRF) organize the sustainable development (and emerging blue economy) strategy planning process. Along with this general objective, this study focuses on four more specific questions: First, to examine whether the sustainable development and blue economy concepts are integrated into the urban development strategies and whether they are a real priority for the northern coastal communities? Second, to figure out which local government and civil society institutions are involved in the policy planning process and whether this sphere of local politics is transparent and open to public discussions? Third, to find out which specific aspects of the sustainable development and coastal blue economy concepts are given priority in the municipal development strategies? Finally, to discuss whether the AZRF coastal sustainable development/blue economy strategies aim to solve short-term/most pressing problems or they suggest long-term policies built on sustainability principles and are oriented to solve fundamental socioeconomic and ecological problems of the AZRF coastal communities? The hypothesis of this study is that a properly designed strategy planning system would be helpful for both familiarizing northern municipalities with the blue economy concept and its effective implementation. This research is based on several empirical cases, including major Arctic coastal urban centers/ports—Anadyr, Arkhangelsk, Dudinka, Murmansk, Naryan-Mar, Pevek, Sabetta, and Severodvinsk.","url":"https://doi.org/10.3390/su13094957","authors":["Gao Tianming","Nikolai Bobylev","Sébastien Gadal","Maria Lagutina","Alexander Sergunin","Vasilii Erokhin"],"tags":["Sustainability","Sustainable development","Environmental planning","Urban planning","Government (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-28","doi":"https://doi.org/10.3390/su13094957","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W1927692695","name":"Methods and models to study nickel–titanium instruments","source":"openalex","abstract":"Over the past two decades, nickel–titanium (NiTi) instruments have become an important part of the armamentarium for root canal treatment. They are increasingly used by generalists and specialists to facilitate the cleaning and shaping of root canals. Despite the advertising claims of superiority of design for some NiTi rotary systems, few have been supported by objective well‐designed studies in the literature. A variety of experiments with different models and methods have been developed for studying the properties of NiTi instruments and how they fulfil these mechanical goals. One of the main issues is how to make a rational choice for the best study model that is relevant. This article aims to present an overview of those methods and devices that have been used in endodontic literature for studying NiTi files.","url":"https://doi.org/10.1111/etp.12046","authors":["Ya Shen","Gary S.P. Cheung"],"tags":["Nickel titanium","Variety (cybernetics)","Root (linguistics)","Computer science","Dentistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2013-09-01","doi":"https://doi.org/10.1111/etp.12046","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4389258866","name":"AI‐Inspired Digital Twins for the Oil and Gas Domain","source":"openalex","abstract":"A digital twin is a virtual model of a physical asset. The digital twin functions as a proxy for the physical asset it represents. The name digital twin was coined by John Vickers of NASA in a 2010 roadmap report. The digital twin helps reduce safety issues and hazards and helps prevent any physical intervention in asset maintenance before actually trying it out. A digital needs large amounts of data to help assets conduct predictive maintenance and also implement an ML solution.","url":"https://doi.org/10.1002/9781119985617.ch19","authors":["Pethuru Raj Chelliah","Venkatraman Jayasankar","Mats Agerstam","B. Sundaravadivazhagan","Robin Cyriac"],"tags":["Asset (computer security)","Proxy (statistics)","Domain (mathematical analysis)","Computer science","Digital asset management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-01","doi":"https://doi.org/10.1002/9781119985617.ch19","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7138952127","name":"Heavy changes in pantograph mechanics with slight repositioning of nodes","source":"openalex","abstract":"Pantographic unit cells are well-known and used both for deployable structures and metamaterials design. It is surely less known that with minor changes, moving the nodes in the reference configuration or using angulated elements, this unit cells can be used to build curved shapes in the strain-free configuration. Curved pantographs are employable in several technical applications. One interesting application is related with robot arms. The peculiar characteristic of pantographic structures, linear or curved, is the existence of a floppy mode, i.e. a zero energy mode, which ensures the existence of a branch of the equilibrium path without strain in all its parts. This characteristic provides the deployability of the pantographic structures and several exotic mechanical behaviours in metamaterials based on the same pattern. We discuss some results obtained by a mechanical digital twin capable of: (i) verifying the deployability, i.e. the existence of a floppy mode when it is not prevented by constraints, of the considered scheme checking for the whole equilibrium path the absence of strain on all the springs modelling the problem; (ii) providing some information, useful for a preliminary structural design, about the mechanical behaviour of a simple structural scheme in the hypothesis of large displacements when the floppy mode is prevented by a large enough number of constraints.","url":"https://doi.org/10.5802/crmeca.352","authors":["Emilio Turco"],"tags":["Path (computing)","Pantograph","Computer science","Spring (device)","Unit (ring theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-18","doi":"https://doi.org/10.5802/crmeca.352","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7169485517","name":"The Construction Industry in 2026: Analysis of Key Trends","source":"openalex","abstract":"The construction industry is experiencing a period of accelerated transformation driven by technological advancement, environmental regulation, and organizational change. Increasing project complexity, workforce shortages, and sustainability requirements are placing growing pressure on traditional construction practices and delivery models. As a result, industry stakeholders are required to adapt to new approaches that emphasize integration, data-driven decision-making, and long-term performance. This paper presents a review of key trends expected to shape the construction industry in 2026, with a focus on their implications for project delivery and industry organization. The analysis is based on a qualitative review of recent professional publications and industry reports addressing digitalization, automation, sustainability, workforce dynamics, and supply chain management. Rather than examining isolated technologies, the paper focuses on recurring themes that reflect broader structural changes within the sector. The findings indicate that digitalization, including the increasing use of digital twins, forms the foundation for improved coordination across project phases. Automation and robotics contribute to productivity and safety improvements, particularly in response to labor shortages. At the same time, sustainability requirements and regulatory pressure are reshaping design and procurement processes through a stronger emphasis on life-cycle performance and transparency. Workforce transformation and supply chain resilience further influence the effectiveness of these developments. The paper concludes that the primary challenge facing the construction industry is not the adoption of individual technologies, but the integration of multiple trends into coherent operational frameworks. Organizations capable of aligning digital infrastructure, professional competencies, and adaptive management practices are better positioned to respond to evolving market and regulatory conditions.","url":"https://openalex.org/W7169485517","authors":["Predrag Petronijević","Nenad Ivanišević","Nikola Knežević","Željko Marinković"],"tags":["Workforce","Procurement","Sustainability","Industry 4.0","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2533574734","name":"Notice-and-fair-balance: how to reach a compromise between fundamental rights in European intermediary liability","source":"openalex","abstract":"In recent years, Europe’s highest courts have searched for the answer to the problem of intermediary liability in the notion of a ‘fair balance’ between competing fundamental rights. At the same time, the ‘notice-and-takedown’ system, which first emerged as a solution to intermediary liability in the 1990s, has spread across the globe, transforming along the way into an assortment of ‘notice-and-action’ variants that differ from country to country. In this article, we seek to examine how both these approaches to the intermediary liability question can be usefully combined. Interpreting ‘fair balance’ as a call for compromise, we propose a move away from the traditional ‘horizontal’ approach of the EU's safe harbour regime, towards a more ‘vertical’ scheme, whereby distinct ‘actions’ are tailored to diverse wrong-doings: notice-and-notice for copyright, notice-wait-and-takedown for defamation and notice-and-takedown and notice-and-suspension for hate speech. Notice-and-judicial-take-down can function as a complementary all-purpose solution. Automatic takedown and notice-and-stay-down are applicable exclusively to child pornography. We suggest that the resulting calibrated system can contribute to achieving a truer ‘fair balance’ in this difficult area of law.","url":"https://doi.org/10.1080/17577632.2016.1240957","authors":["Christina Angelopoulos","Stijn Smet"],"tags":["Notice","Compromise","Liability","Law and economics","Balance (ability)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-10-21","doi":"https://doi.org/10.1080/17577632.2016.1240957","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7168433375","name":"Model-Driven Digital Twin Framework for Quantum Networks","source":"openalex","abstract":"Quantum networks are advancing towards larger and more operational infrastructures, yet their evaluation remains fragmented across heterogeneous physical platforms, simulators, protocols, and architectural abstractions. Current digital-twin studies for quantum networks mainly realise isolated capabilities or application-specific solutions rather than reusable system-level twins. This paper argues that Model-Driven Engineering (MDE) can provide a systematic basis for integrating and evolving these heterogeneous artefacts. It derives requirements for design-time evaluation and runtime synchronisation, and proposes a progression of architectures from code-driven and domain-model-driven solutions to point-to-point and hub-and-spoke integration. A conceptual implementation case study illustrates this using SysML v2, QKD kit, an EMF-based controller, and SeQUeNCe. The work provides a foundation for adaptable and interoperable digital twins for quantum networks.","url":"https://openalex.org/W7168433375","authors":["Amal Elsokary","Hayato Ishida","Ran Wei","Michael J. de C. Henshaw","Siyuan Ji"],"tags":["Interoperability","Computer science","Distributed computing","Quantum","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-11","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W1919500487","name":"Intrauterine inflammation alters cardiopulmonary and cerebral haemodynamics at birth in preterm lambs","source":"openalex","abstract":"Key points Intrauterine inflammation is associated with preterm birth and poor long‐term cardiopulmonary and neurological outcomes. The effect of intrauterine inflammation on the cardiopulmonary and cerebral haemodynamic transition after preterm birth is poorly understood. We demonstrated that intrauterine inflammation increased pulmonary vascular resistance, reduced pulmonary blood flow and left ventricular output and increased cerebral blood flow and cerebral oxygen delivery after preterm birth. Increasing positive end‐expiratory pressure, which causes a haemodynamic challenge, reduced pulmonary blood flow and left ventricular output in controls but not in lipopolysaccharide‐exposed lambs. A transient reduction in brachiocephalic arterial pressure was observed in lipopolysaccharide‐exposed lambs. Intrauterine inflammation altered the cardiopulmonary and cerebral haemodynamic transition at birth and reduced the responsiveness of the pulmonary circulation to an increase in positive end‐expiratory pressure. Abstract Intrauterine inflammation is associated with preterm birth and poor long‐term cardiopulmonary outcomes. We aimed to determine the effect of intrauterine inflammation on the cardiopulmonary and cerebral haemodynamic transition at birth, and the response to subsequent haemodynamic challenge. Fetal instrumentation was performed at ∼112 days gestation (term is 147 days) for measurement of cardiopulmonary and cerebral haemodynamics. At 118 days, inflammation was induced by intra‐amniotic administration of lipopolysaccharide (LPS; n= 7); controls (n= 5) received intra‐amniotic saline. At 125 days lambs were delivered and mechanically ventilated. Arterial blood gases, pulmonary and systemic arterial blood pressures and flows were measured during the perinatal period. At 10 min a haemodynamic challenge was administered by increasing positive end‐expiratory pressure. During the first 10 min after birth, LPS‐exposed lambs had higher pulmonary vascular resistance and lower pulmonary blood flow and left ventricular output than controls. Carotid arterial blood flow was higher in LPS‐exposed lambs than controls between 3 and 7 min after delivery, and cerebral oxygen delivery was higher at 5 min. During the haemodynamic challenge, pulmonary blood flow and left ventricular output were reduced in controls but not in LPS‐exposed lambs; a transient reduction in brachiocephalic arterial pressure occurred in LPS‐exposed lambs but not in controls. Intrauterine inflammation altered the cardiopulmonary and cerebral haemodynamic transition at birth and reduced the cardiopulmonary response to a haemodynamic challenge after birth. The transient reduction in brachiocephalic arterial pressure suggests intrauterine inflammation may alter cerebrovascular control following an increase in positive end‐expiratory pressure.","url":"https://doi.org/10.1113/jphysiol.2012.249680","authors":["Robert Galinsky","Stuart B. Hooper","Megan J. Wallace","Alana J. Westover","M. Jane Black","Timothy J. M. Moss","Graeme R. Polglase"],"tags":["Medicine","Hemodynamics","Anesthesia","Vascular resistance","Blood pressure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2013-02-19","doi":"https://doi.org/10.1113/jphysiol.2012.249680","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7118004986","name":"Dataset and simulation code for the paper \"A Simulation-Based Framework for Fatigue-Aware Task Reallocation in Human-Robot Collaboration:Satistical Validation with 1000-Episode Digital Twin\"","source":"openalex","abstract":"Dataset and simulation code for the paper \"A Simulation-Based Framework for Fatigue-Aware Task Reallocation in Human-Robot Collaboration:Satistical Validation with 1000-Episode Digital Twin\" published in IEEE Access (2026). This dataset contains: - 4000 observations from 1000 simulated HRC episodes. - Complete Python simulation code (seed=42 for reproducibility). - Statistical analysis results (Friedman χ²=3000.0, p<0.001). - Safety performance data (99.30% collision-free rate). Key results: - Collision-free rate: 99.30% (993/1000 episodes). - Fatigue progression: 28.06% → 68.04% over 45 minutes. - Fatigue-skill correlation: r = +0.970, p < 0.001. - ISO/TS 15066 gap: -0.55 percentage points. All code and data are licensed under CC-BY-4.0.","url":"https://doi.org/10.6084/m9.figshare.30983713.v4","authors":["Claudio Urrea Oñate"],"tags":["Computer science","Python (programming language)","Code (set theory)","Key (lock)","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.6084/m9.figshare.30983713.v4","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7155032220","name":"A Digital Twin-Inspired Correction Method for Infrared Detectors","source":"openalex","abstract":"Infrared focal plane arrays (IRFPAs) often suffer from spatiotemporal nonuniformity that persists after conventional two-point nonuniformity correction (NUC), especially under temperature drift and time-varying readout conditions. These residuals are typically structured, including column-group striping caused by shared column-end circuits and row-wise baseline/common-mode drift induced by row-scanning paths. We propose a structured, digital-twin-inspired detector-side refinement of two-point NUC that augments the bias term with interpretable low-dimensional components: a static column bias vector capturing group-correlated residuals and a row-related structured term consisting of a static row baseline and a frame-synchronous common-mode component with row-dependent sensitivity, while keeping the two-point gain/offset backbone unchanged. Rather than representing a full system-level digital twin of the infrared payload, the proposed framework serves as a detector-side virtual representation of dominant readout-induced structured residual states that can be estimated and updated from calibration data. Experiments on blackbody calibration data across multiple temperature points demonstrate that the column-related structured component significantly reduces group-wise column residuals, the row-related structured component suppresses time-varying row striping, and the combined method improves both column- and row-direction metrics consistently across temperatures.","url":"https://doi.org/10.3390/photonics13040396","authors":["Jiangyu Tian","Libing Jin","J J Ignacio Chang"],"tags":["Residual","Calibration","Detector","Column (typography)","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-21","doi":"https://doi.org/10.3390/photonics13040396","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4414693509","name":"Deep reinforcement learning for optimal planning of production line maintenance with deterioration","source":"openalex","abstract":"Manufacturing companies often contend with deteriorating production systems that can significantly hinder overall performance. Therefore, optimizing maintenance planning strategies plays a crucial role in enhancing production efficiency. In this study, we address a novel maintenance decision-making problem in serial production lines, where machine degradation leads to product quality deterioration and throughput loss at the final stage. We propose a new framework that jointly considers product quality trends, buffer dynamics, and machine production states to optimize a preventive maintenance policy for the last machine in the line. To achieve this, we utilize an average-reward deep reinforcement learning (DRL) approach within a discrete event simulation environment and compare their effectiveness to conventional dispatching methods. Our results, based on a digital twin enriched with real production data, show that the proposed DRL approach consistently outperforms traditional dispatching rules and practitioner-designed heuristics. This study is the first to apply DRL to maintenance decision-making in serial production systems that explicitly model product quality degradation, machine production states and buffer interactions—addressing a key gap in current literature.","url":"https://doi.org/10.1016/j.ress.2025.111767","authors":["Michael Geurtsen","Cas Leenen","Ivo Adan","Zümbül Atan"],"tags":["Reinforcement learning","Production (economics)","Quality (philosophy)","Production line","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-01","doi":"https://doi.org/10.1016/j.ress.2025.111767","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7203494127","name":"Towards a Robust Adaptive Digital Twin for Fusion Applications","source":"openalex","abstract":"The development of a digital twin system for fusion applications is essential for enhancing the prediction, analysis, and optimization of complex plasma processes. Machine learning (ML), particularly deep learning has demonstrated strong capabilities in modeling such highly nonlinear and intricate systems. However, two critical challenges limit the deployment of deep learning-based digital twins: Uncertainty Quantification (UQ) and data drift. UQ is vital for ensuring trustworthy predictions, especially in decision-support scenarios. Additionally, data-driven models are often sensitive to changes in the underlying data distribution, such as shot-to-shot variations in fusion experiments, which can lead to performance degradation over time. To address these challenges, we are developing an uncertainty-aware, adaptive digital twin framework. Our approach incorporates deep learning models enhanced with Gaussian Process approximations for predictive uncertainty estimation, coupled with an online learning mechanism that enables continuous model adaptation to new experimental data. This adaptive capability allows the data driven models to respond effectively to evolving plasma behaviors and equipment conditions. Specifically, to mitigate the effects of shot-to-shot drift, our system updates itself incrementally as new data becomes available, improving both robustness and fidelity. Our vision is to evolve this data driven model into a self-sustaining digital twin system that leverages UQ based feedback to continuously refine itself and potentially support real-time decision making. This presentation will cover a brief background on uncertainty quantification for ML, our ongoing effort on development of UQ capabilities for ML, our data science pipeline from data collection to model development and analysis and online learning framework for modeling coil deflection at DIII-D. I will also briefly touch upon opportunities and challenges in development of digital twin framework.","url":"https://doi.org/10.2172/3400840","authors":["Nuclear Physics (NP) USDOE Office of Science (SC)","Brian Sammuli","Thomas Jefferson National Accelerator Facility (TJNAF)","Kishansingh Rajput","Sen Lin","Malachi Schram","Mahmudul Hasan"],"tags":["Computer science","Artificial intelligence","Machine learning","Sensor fusion","Robustness (evolution)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-21","doi":"https://doi.org/10.2172/3400840","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4322216957","name":"4D Printed Shape Memory Anastomosis Ring with Controllable Shape Transformation and Degradation","source":"openalex","abstract":"Abstract Biofragmentable anastomosis ring (BAR) is an ideal sutureless alternative for intestinal connection that is frequently demanded in colonic surgery. However, it is challenging to insert a bulky BAR into the soft and slippery intestine. Here 4D printing of an anastomosis ring with shape memory capability is presented via fused deposition modeling (FDM) 3D printing. The shape memory anastomosis ring can recover from a compressed shape that facilitates the insertion to the permanent shape for connection and supporting. Degradation kinetics is tuned by controlling the blending composition of polylactic acid and poly(lactic‐co‐glycolic acid), so that the device can be excreted after the intestine healing. The shape recovery temperature is adjusted to 50 °C that the human body can withstand for a while. Grid structure and hook lock are designed and printed to guarantee dimension reduction upon programming and stable connection after shape recovery, respectively. A conceptual anastomotic operation shows the advantages and prospects of shape transformation. The 4D printing strategy may promote intestinal anastomosis development and inspire more opportunities for minimally invasive medical surgery.","url":"https://doi.org/10.1002/adfm.202214505","authors":["Wenjun Peng","Jie Yin","Xianming Zhang","Yunpeng Shi","Gang Che","Qian Zhao","Jian Liu"],"tags":["Materials science","Anastomosis","Shape-memory alloy","Degradation (telecommunications)","Biomedical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-26","doi":"https://doi.org/10.1002/adfm.202214505","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4410001136","name":"The Impact of Data Element Marketization on Green Total Factor Energy Efficiency: Empirical Evidence from China","source":"openalex","abstract":"Given the escalating severity of climate change and environmental degradation, the transition to green and low-carbon energy has become a strategic priority for China’s economic development. Green total factor energy efficiency (GTFEE), which captures energy utilization efficiency while accounting for environmental constraints and desirable outputs, has emerged as a key indicator for evaluating green energy transition performance. Data element marketization (DEM), as a vital institutional innovation, provides new impetus for accelerating the transition to green and low-carbon energy. This study leveraged the establishment of China’s data trading platforms as a quasi-natural experiment to systematically assess the effects, mechanisms, and spatial heterogeneity of DEM on urban GTFEE. The findings reveal that DEM has a statistically significant positive impact on urban GTFEE in the short term, while demonstrating a gradual diminishing marginal effect over the long term. Furthermore, this study uncovered heterogeneous effects based on factors such as city type, urban energy intensity, and new-energy pilot, as well as urban government governance capacity. Mechanism analysis demonstrated that DEM enhances urban GTFEE by accelerating the generation of data elements and fostering their deep integration with artificial intelligence (AI). Spatial analysis indicated that, while DEM significantly improves GTFEE in local cities, it generates negative spillover effects on neighboring cities due to the persistence of the digital divide.","url":"https://doi.org/10.3390/su17094099","authors":["Ying Peng","Xinyue Wang","Weilong Gao"],"tags":["Marketization","China","Element (criminal law)","Impact factor","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.3390/su17094099","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7163991932","name":"Constructing a Cost–Benefit Analysis Framework for Digital Twin–Enabled Spatial Planning: Articulating (Hidden) Costs and (Implicit) Benefits in Governmental Organizations","source":"openalex","abstract":"Digital Twins (DTs) are increasingly used in urban planning and public-sector spatial development to support evidence-based decision-making and scenario analysis. However, many DT initiatives struggle to progress beyond pilot stages (Hiller et al., 2026), partly due to the absence of a clear and validated cost–benefit analysis (CBA) framework. Existing evaluations often underestimate lifecycle costs while failing to adequately articulate indirect and intangible benefits such as improved decision quality, stakeholder engagement, and transparency. This research-in-progress study tries to address this gap by asking how hidden costs and implicit benefits of DTs in public-area development can be identified and structured into a first version of a CBA framework. Using a Design Science approach, we combine a scoping review further supplemented with exploratory expert interviews in a Dutch spatial planning context. Preliminary findings highlight lifecycle and governance-related costs and indicate that DT value primarily emerges through improved decision quality and reduced downstream failure costs, though further detailing and validation is required in future research.","url":"https://doi.org/10.18690/um.fov.4.2026.66","authors":["Sam Leewis","Koen Smit","John van Meerten","Ronald Buijsse"],"tags":["Stakeholder","Process management","Cost–benefit analysis","Business","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-05","doi":"https://doi.org/10.18690/um.fov.4.2026.66","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7130322411","name":"Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data","source":"openalex","abstract":"In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed. The analyzed dataset includes 259 observations collected over a five-year period for six critical components, with the overall level of censoring reaching 62% and exceeding 70% for long life mechanical subsystems. Considering right, left, and interval censoring, the paper proposes a unified statistical procedure that combines empirical estimation of failure rates with parametric identification using Weibull, exponential, normal, and lognormal distributions. Model parameters are estimated using censored data–aware fitting procedures, while model selection is performed based on likelihood-based criteria, supplemented by correlation analysis to assess agreement between empirical and fitted reliability curves. The methodology is implemented computationally in the Mathcad Prime environment and is supplemented with mathematical tools for reconstructing survival curves, analyzing parameter sensitivity, and evaluating robustness at different censoring levels. In addition, an economic optimization model is formulated to determine cost-effective maintenance intervals by minimizing an integral functional that accounts for preventive maintenance, repair, and downtime costs. The results demonstrate that the proposed approach provides stable reliability estimates and reliable forecast intervals, enabling the construction of generalized life cycle curves for individual subsystems. The study establishes a rigorous mathematical basis for the transition from fixed-interval maintenance to adaptive, reliability-oriented maintenance strategies in industrial mine hoisting systems.","url":"https://doi.org/10.3390/math14040716","authors":["Denis A. Zadkov","Nikita MARTYUSHEV","Boris V. Malozyomov","Anton Y. Demin","Alexander V. Pogrebnoy","Elezaveta E. Kuleshova","Denis V. Valuev"],"tags":["Censoring (clinical trials)","Downtime","Reliability engineering","Reliability (semiconductor)","Parametric statistics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-18","doi":"https://doi.org/10.3390/math14040716","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4353039744","name":"Integrating biopolymer design with physical unclonable functions for anticounterfeiting and product traceability in agriculture","source":"openalex","abstract":"Smallholder farmers and manufacturers in the Agri-Food sector face substantial challenges because of increasing circulation of counterfeit products (e.g., seeds), for which current countermeasures are implemented mainly at the secondary packaging level, and are generally vulnerable because of limited security guarantees. Here, by integrating biopolymer design with physical unclonable functions (PUFs), we propose a cryptographic protocol for seed authentication using biodegradable and miniaturized PUF tags made of silk microparticles. By simply drop casting a mixture of variant silk microparticles on a seed surface, tamper-evident PUF tags can be seamlessly fabricated on a variety of seeds, where the unclonability comes from the stochastic assembly of spectrally and visually distinct silk microparticles in the tag. Unique, reproducible, and unpredictable PUF codes are generated from both Raman mapping and microscopy imaging of the silk tags. Together, the proposed technology offers a highly secure solution for anticounterfeiting and product traceability in agriculture.","url":"https://doi.org/10.1126/sciadv.adf1978","authors":["Hui Sun","Saurav Maji","Anantha P. Chandrakasan","Benedetto Marelli"],"tags":["Traceability","Authentication (law)","Counterfeit","Physical unclonable function","Cryptography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-22","doi":"https://doi.org/10.1126/sciadv.adf1978","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4417493585","name":"AI-Driven Polymeric Coatings: Strategies for Material Selection and Performance Evaluation in Structural Applications","source":"openalex","abstract":"Polymeric coatings play a pivotal role in enhancing the durability, functionality, and sustainability of structural materials exposed to harsh environmental conditions. Recent advances in artificial intelligence (AI) have transformed the development, optimization, and evaluation of these coatings by enabling data-driven material discovery, predictive performance modeling, and autonomous inspection. This review aims to provide a comprehensive overview on AI-driven polymeric coating strategies for structural applications, emphasizing the integration of machine learning, computer vision, and multi-physics simulations into traditional materials engineering frameworks. The discussion encompasses AI-assisted material selection methods for polymers, fillers, and surface modifiers; predictive models for corrosion, fatigue, and degradation; and intelligent evaluation systems using digital imaging, sensor fusion, and data analytics. Case studies highlight emerging trends such as self-healing, smart, and sustainable coatings that leverage AI to balance mechanical performance, environmental resistance, and carbon footprint. The review concludes with identifying current challenges-including data scarcity, model interpretability, and cross-domain integration-and proposes future research directions toward explainable, autonomous, and circular coating design pipelines.","url":"https://doi.org/10.3390/polym18010005","authors":["Min Ook Kim"],"tags":["Sustainability","Coating","Leverage (statistics)","Material selection","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-19","doi":"https://doi.org/10.3390/polym18010005","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7172076195","name":"Male Yoruba Ere Ibeji (Twin Figure)","source":"openalex","abstract":"This figure is a male Yoruba ere ibeji or twin figure (literally ere: sacred image; ibi: born; eji: two). Yoruba people have among the highest rates of twin births globally and often consider twins special or sacred people. As such, when a twin dies, the parents may consult a babalawo, or Yoruba spiritual diviner, about how to honor the twin’s spirit (sometimes to prevent the deceased twin from calling the remaining twin to reunite in death). It is common for the babalawo to instruct the family to have an ere ibeji, such as this one, made. The ere ibeji acts as a space for the deceased twin’s spirit and is cared for by the family. Although ere ibejis are a physical tether to the twin’s spirit, they are not simply carvings of the deceased. Instead, the figure is carved as a highly idealized depiction of the twin as they might have been in adulthood. An individual’s specific characteristics are generally limited to gender and the presence of scarification, though the family may add clothing or jewelry (Met Museum no. 1981.424.2). This male ere ibeji is relatively simple but exemplifies many of the genre’s elements. With feet planted firmly on the round base, the figure’s body is balanced, emphasizing the prominent chest and large limbs. Each arm meets the body at the thigh, a feature common among ere ibeji. Together, the figure’s head and hair constitute a little more than a third of its almost 11-inch height. Large circular eyes are set in relief on the face, and in the center of the left eye, the head of a nail is seated, while there is a corresponding hole in the right eye. Around the bottom and corners of the eyes, small sections have been carved away, possibly to represent scarification (University of Iowa Stanley Museum of Art no 2017.330a). Almost universally, the ere ibeji’s most prominent feature is its coiffure. The coiffure is about the same height as the rest of the head and crowns the figure in an arching shape from the forehead to the nape of the neck. The blue pigment (likely indigo), which would have been applied to the coiffure as part of the figure's care, is still visible in its grooves (Met Museum no. 1981.424.13). In addition to the pigment, this figure shows other signs of having been extensively handled and cared for, common to many ere ibeji. Traces of red in the joints of the figure and at its base are the remains of camwood powder, which would have been applied to the figure’s body. The smooth shine of the wood is a result of regular touching and handling as the figure was engaged with in and out of the home. Often the deceased twin’s mother or other family members would dress and adorn the ere ibeji, sometimes taking the figure with them, wearing it wrapped in their own clothes, particularly during celebrations and other festival or ritual activities. More recently, some Yoruba people have used plastic dolls, other types of figures, or photography to fulfill the function of the ere ibeji. Works Cited Abiodun, Rowland. Yoruba Art and Language: Seeking the African in African Art. Cambridge University Press, 2014, 268-71. Houlberg, Marilyn Hammersley. “Ibeji Images of the Yoruba.” African Arts 7, no. 1 (1973): 20–92. https://doi-org.libproxy.kenyon.edu/10.2307/3334745. Layiwola, Dele. “Ère ìbejì (commemorative twin figures) with tunic, late 19th–early 20th century.” Object description in the Princeton University Art Museum digital collections. Last accessed July 14, 2026. https://artmuseum.princeton.edu/art/collections/objects/61090. Oyinloye, Michael, Afeez Siyanbola, Evelyn Adepeko, and Adedola Adeyemi. “Preserving Culture and Heritage of the Yoruba of Southwest Nigeria: An Ethnographic Study of the Twin Figure (Ere Ibeji).” SCHOLARS: Journal of Arts & Humanities 4, no. 2 (Aug. 2022): 18-31. https://doi.org/10.3126/sjah.v4i2.47419. Mercer Thomas ('27) (Summer 2026)","url":"https://openalex.org/W7172076195","authors":[],"tags":["Yoruba","Depiction","Honor","Clothing","Gender studies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1901-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4392380538","name":"Interplay of Cathode–Halide Solid Electrolyte in Enhancing Thermal Stability of Charged Cathode Material in All-Solid-State Batteries","source":"openalex","abstract":"All-solid-state batteries (ASSBs) are expected to address the thermal instability of conventional rechargeable batteries, given nonflammable inorganic solid electrolytes (SEs). However, the interaction between sulfide SEs and electrode materials can cause an exothermic reaction accompanied by the formation of explosive decomposition products. Herein, we demonstrate the enhanced thermal stability of a charged cathode material (Li 1– x Ni 0.6 Co 0.2 Mn 0.2 O 2, x ≈ 0.5) with a Li 3 InCl 6 halide SE compared to sulfide SEs. Li 3 InCl 6 and the cathode composite not only delay the decomposition of NCM622 but also mitigate oxygen evolution from the cathode via oxidation decomposition of the halide SE. Furthermore, the halide SE suppresses combustible oxygen-gas evolution by capturing oxygen species through a mitigated exothermic reaction accompanying an endothermic phase transition from oxychloride to oxide. Oxygen capture was also observed in other halide SEs (Li 3 YCl 6 and Li 2 ZrCl 6 ). These findings emphasize the pivotal role of the cathode–SE interfacial interplay in governing the thermal stability of ASSBs and suggest SE design criteria for thermally safe battery systems.","url":"https://doi.org/10.1021/acsenergylett.4c00033","authors":["Sangpyo Lee","Youngkyung Kim","Chanhyun Park","Jihye Kim","Jae‐Seung Kim","Hyoi Jo","Chang Ju Lee","Sinho Choi","Dong‐Hwa Seo","Sung‐Kyun Jung"],"tags":["Cathode","Electrolyte","Halide","Thermal stability","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-04","doi":"https://doi.org/10.1021/acsenergylett.4c00033","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2061034910","name":"Tendon cells produce gelatinases in response to type I collagen attachment","source":"openalex","abstract":"Cells that carry out wound healing must be able to perform catabolic as well as anabolic functions. As the tendon is a tissue rich in extracellular matrix (ECM) proteins, we hypothesized that cells which participate in tendon healing should be able to produce proteases that would allow the remodeling of such a tissue. To this end, we assessed the ability of endotenon cells isolated from canine flexor digitorum profundus tendon and from surrounding parietal sheath to produce the gelatinases MMP-2 and MMP-9. Endotenon and sheath cells cultured in vitro on polystyrene produced small amounts of MMP-2 and MMP-9 was not detectable. When cultured on polystyrene coated with type I collagen, the cells upregulated MMP-2 production and MMP-9 production was induced. No other ECM protein elicited this response nor did other cell lines respond in this way after attachment to type I collagen. The two gelatinases were identified by immunological methods, ability to bind gelatin, size, metal ion requirement, serine protease inhibitor insensitivity, and APMA activation. For cells grown on collagen-coated plastic, gelatinase upregulation was proportional to the amount of ligand present until saturation was reached. For any group of fresh tendon cells, MMP-2 and MMP-9 upregulation was greater in a three dimensional collagen gel than the highest response from the same group under two dimensional culture conditions. Attachment of the cells to type I collagen increased the ratio of active to inactive MMP-2. Dexamethasone inhibited the upregulation of both MMP-2 and MMP-9. These results show that ECM proteins can influence both the production and the state of activation of these matrix metalloproteinases.","url":"https://doi.org/10.1016/s0736-0266(02)00200-0","authors":["Timothy M. Ritty","Jeremy Herzog"],"tags":["Downregulation and upregulation","Gelatinases","Extracellular matrix","Chemistry","Type I collagen"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2003-05-01","doi":"https://doi.org/10.1016/s0736-0266(02)00200-0","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W1542524221","name":"Structural heterogeneity of pyrimidine/purine‐biased DNA sequence analyzed by atomic force microscopy","source":"openalex","abstract":"We report here the direct evidence for the formation of alternative DNA structures in a plasmid DNA, termed pTIR10, containing a 0.23-kb pyrimidine/purine-biased (Pyr/Pur) stretch isolated from the rat genome. Long Pyr/Pur sequences are abundant in eukaryotic genomes, and they may modulate the biological activity of genes and genomes via formation of various types of triplex-related structures. The plasmid DNA in sodium acetate buffer (pH 4.35) was deposited on APS-modified mica, and after drying it was imaged with an atomic force microscope in air. Various types of thick protrusions have been observed on pTIR10 DNA. Structural parameters (width and height) of DNA molecules suggest that the alternative structures observed here are variations on the theme of an intramolecular triplex. The biological relevance of the structural features within Pyr/Pur stretches is discussed.","url":"https://doi.org/10.1046/j.1432-1033.2002.03063.x","authors":["Mikio Kato","Chad McAllister","Shingo Hokabe","Nobuyoshi Shimizu","Yuri L. Lyubchenko"],"tags":["DNA","Pyrimidine","Atomic force microscopy","Purine","Plasmid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2002-07-17","doi":"https://doi.org/10.1046/j.1432-1033.2002.03063.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4408718247","name":"Lensless imaging with a programmable Fresnel zone aperture","source":"openalex","abstract":"Optical imaging has long been dominated by traditional lens-based systems that, despite their success, are inherently limited by size, weight, and cost. Lensless imaging seeks to overcome these limitations by replacing lenses with thinner, lighter, and cheaper optical modulators and reconstructing images computationally, while facing trade-offs in image quality, artifacts, and flexibility inherent in traditional static modulation. Here, we propose a lensless imaging method with programmable Fresnel zone aperture (FZA), termed LIP. With a commercial liquid crystal display, we designed an integrated LIP module and demonstrated its capability of high-quality artifact-free reconstruction through dynamic modulation and offset-FZA parallel merging. Compared to static-modulation approaches, LIP achieves a 2.5× resolution enhancement and a 3 decibels improvement in signal-to-noise ratio in \"static mode\" while maintaining an interaction frame rate of 15 frames per second in \"dynamic mode.\" Experimental results demonstrate LIP's potential as a miniaturized platform for versatile advanced imaging tasks like virtual reality and human-computer interaction.","url":"https://doi.org/10.1126/sciadv.adt3909","authors":["Xu Zhang","Bowen Wang","Sheng Li","Kunyao Liang","Haitao Guan","Qian Chen","Chao Zuo"],"tags":["Computer science","Fresnel lens","Image quality","Optics","Offset (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-21","doi":"https://doi.org/10.1126/sciadv.adt3909","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7159549193","name":"Features of Using Digital Twins for CNC Technological Equipment","source":"openalex","abstract":"This paper analyzes the feasibility of using digital twins in the operation of CNC equipment to address current manufacturing challenges. The study aims to structure the functional capabilities and practical aspects of implementing this technology. This study analyzes the architecture of a digital twin as a system of interconnected computational and simulation modules operating in a single information space with the physical equipment. The analysis identifies promising areas for implementation: predictive diagnostics of technical condition, virtual validation of control programs, and automatic correction of process parameters. It is proven that the integration of digital twins enables the transformation of traditional machine tools into intelligent production units capable of adapting to changing conditions. Implementation of the approaches discussed creates the foundation for developing flexible and technologically advanced manufacturing systems.","url":"https://openalex.org/W7159549193","authors":["A. A. Trokhov","A. M. Pishchukhin","A. A. Trokhov","A. M. Pishchukhin"],"tags":["Process (computing)","Engineering","Numerical control","Digital manufacturing","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7140236694","name":"Centriolar damage as a driver of aging","source":"openalex","abstract":"The Centriolar Damage Accumulation Theory of Aging (CDATA) proposes that the structural and functional decline of centrioles and associated structures acts as a candidate integrator and driver of cellular aging, contributing to stem cell exhaustion and tissue dysfunction. To test this hypothesis computationally and explore its systemic consequences, we developed Cell DT, a high-performance, multi-track simulator built in Rust using an Entity Component System (ECS) architecture. Cell DT models seven parallel, interacting aging tracks: (A) ciliary dysfunction from appendage damage, (B) mitotic spindle infidelity, (C) telomere erosion, (D) epigenetic drift, (E) mitochondrial ROS-driven centriolar damage, (F) integrated division rate regulation, and (G) myeloid shift and inflammaging feedback. We further incorporate a thermodynamic layer based on Arrhenius kinetics, a multi-tissue model with systemic signaling (SASP, IGF-1), and clonal hematopoiesis dynamics. Simulations from a baseline human model (5 stem cell niches) recapitulate key aging phenomena: progressive accumulation of centriolar damage (0.006 to 0.577 over 70 years), decline in ciliary (0.991 to 0.215) and spindle (0.999 to 0.713) functions, increasing Systemic Degradation Index (SDI: 0.206 to 0.914), and death at ~80 years. Model outputs were compared to empirical benchmarks, showing consistency in trends for myeloid bias and epigenetic acceleration, while identifying areas for refinement. Multi-tissue simulations (25 niches across five tissues) predict synchronized systemic collapse near age 75, driven by stem cell pool depletion (~7% remaining). We successfully model clonal hematopoiesis (CHIP), with complete clonal takeover by age 79, and a progressive myeloid shift (bias ≈ 0.45 at age 70). Sensitivity analysis identified the midlife damage multiplier as the most critical parameter governing lifespan. Intervention modules (e.g., senolytics, centrosome transplant) demonstrate the platform's utility for in silico therapeutic screening, with quantified effects (e.g., calorie restriction extended lifespan by ~15%). Cell DT provides a rigorous, extensible, and open-source framework for simulating the CDATA and exploring its implications for geroscience, offering a \"digital twin\" approach to understanding the integrated mechanics of aging.","url":"https://doi.org/10.65649/4jetr052","authors":["Jaba Tkemaladze"],"tags":["Biology","Centrosome","Epigenetics","Cell biology","Stem cell"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.65649/4jetr052","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2046123837","name":"NEW GENERATION OF HEALTHY SNACK FOOD BY SUPERCRITICAL FLUID EXTRUSION","source":"openalex","abstract":"ABSTRACT A supercritical fluid extrusion (SCFX) process has been successfully developed for the production of a novel healthy snack containing 40–60 wt% protein with unique porous structure and texture. Supercritical carbon dioxide (SC-CO2) injection rate and product temperature at the die were found to be critical to control the expansion and texture of the final product. Maximum cross-sectional expansion was obtained at 0.3 wt% added SC-CO2, whereas more uniform internal structure was achieved at 0.7 wt% SC-CO2 level. As whey protein concentrate (80 wt%) concentration was increased from 52.8 to 78.2 wt% in the formulation, the cross-sectional expansion of baked and fried products increased by 65.8 and 44.4%, respectively. It was observed that lower viscosity of whey protein compared with starch decreased expansion but helped enhance further expansion during post-extrusion drying. The finding showed that an extrusion process at the temperature below protein denaturation temperature using SC-CO2 can help to prevent hard texture due to the thermosetting property of whey protein and to create a uniformly expanded structure. The textural properties of SCFX chips were comparable to commercial extruded or fried chip products. PRACTICAL APPLICATIONS The American snack market is one of fast-growing markets in the world as snacking becomes more popular. Because of the increasing concerns about health, there is also an increasing demand for new healthy snacks as an alternative for fried starch-based snacks with low nutrient density. This study shows the potential of supercritical fluid extrusion (SCFX) technology for healthy snack food production containing whey protein. SCFX chips had uniform cellular microstructure that cannot be obtained using conventional steam-based extrusion. As supercritical carbon dioxide can deliver certain flavors, an expanded snack not only with high nutrient density and unique texture but also with encapsulated flavors can be produced using the SCFX process and can be marketed as a novel healthy snack.","url":"https://doi.org/10.1111/j.1745-4549.2009.00372.x","authors":["K.Y. Cho","Syed S. H. Rizvi"],"tags":["Extrusion","Supercritical fluid","Food science","Whey protein","Starch"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2009-12-04","doi":"https://doi.org/10.1111/j.1745-4549.2009.00372.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3036267656","name":"From gametogenesis to spawning: How climate‐driven warming affects teleost reproductive biology","source":"openalex","abstract":"Ambient temperature modulates reproductive processes, especially in poikilotherms such as teleosts. Consequently, global warming is expected to impact the reproductive function of fish, which has implications for wild population dynamics, fisheries and aquaculture. In this extensive review spanning tropical and cold-water environments, we examine the impact of higher-than-optimal temperatures on teleost reproductive development and physiology across reproductive stages, species, generations and sexes. In doing so, we demonstrate that warmer-than-optimal temperatures can affect every stage of reproductive development from puberty through to the act of spawning, and these responses are mediated by age at spawning and are associated with changes in physiology at multiple levels of the brain-pituitary-gonad axis. Response to temperature is often species-specific and changes with environmental history/transgenerational conditioning, and the amplitude, timing and duration of thermal exposure within a generation. Thermally driven changes to physiology, gamete development and maturation typically culminate in poor sperm and oocyte quality, and/or advancement/delay/inhibition of ovulation/spermiation and spawning. Although the field of teleost reproduction and temperature is advanced in many respects, we identify areas where research is lacking, especially for males and egg quality from \"omics\" perspectives. Climate-driven warming will continue to disturb teleost reproductive performance and therefore guide future research, especially in the emerging areas of transgenerational acclimation and epigenetic studies, which will help to understand and project climate change impacts on wild populations and could also have implications for aquaculture.","url":"https://doi.org/10.1111/jfb.14439","authors":["Maud Alix","Olav Sigurd Kjesbu","Kelli Anderson"],"tags":["Biology","Gametogenesis","Reproductive biology","Fishery","Global warming"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-21","doi":"https://doi.org/10.1111/jfb.14439","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4409715683","name":"Smart Intersections and Connected Autonomous Vehicles for Sustainable Smart Cities: A Brief Review","source":"openalex","abstract":"As the importance of safety, efficiency, and sustainability in urban transportation becomes more apparent, intelligent transportation systems are changing and growing. Smart intersections play a crucial role in different parts of this context. Technologies such as Vehicle-to-Everything (V2X) communication, artificial intelligence, multi-sensor data fusion, and more are incorporated into these intersections to improve capacity and safety and reduce damage to the environment. This literature review aims to merge various recent works on advancing smart intersection technologies, their thematic application, methodological approach, and regional implementations. Highlighting adaptive traffic signal control, real-time data processing, and connected autonomous vehicle (CAV) integrations sheds light on the way the effectiveness of transportation in cities can be improved. At the same time, this study tackles questions of cybersecurity and standardization. This review provides insights for researchers, policymakers, and practitioners who aim to improve transportation systems’ sustainability, fairness, and operability.","url":"https://doi.org/10.3390/su17073254","authors":["Masoud Khanmohamadi","Marco Guerrieri"],"tags":["Smart city","Transport engineering","Computer science","Architectural engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-05","doi":"https://doi.org/10.3390/su17073254","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7129150872","name":"Enabling the Circular Food Economy Through Industry 4.0: A Review of Applications, Challenges, and Policies in the European Union","source":"openalex","abstract":"The transition to a circular economy (CE) is a critical strategy for improving the sustainability and resilience of the global food system. Industry 4.0 (I4.0) and its associated digital technologies offer a powerful means of accelerating this transformation. This systematic review provides a comprehensive analysis of the synergy between I4.0 and the CE within the European Union's food supply chain, integrating technological applications, implementation barriers, and policy frameworks. Key I4.0 applications are reviewed across the CE hierarchy, including artificial intelligence (AI)-driven demand forecasting and precision agriculture for waste prevention, machine learning-optimized bioprocessing for valorizing by-products into food-grade ingredients, and blockchain and the Internet of Things for enhancing traceability and transparency in circular flows. However, the transition faces significant barriers. Technological challenges include a lack of interoperability and data standards. Economic hurdles involve high initial investment costs and uncertain returns on investment, particularly for small- and medium-sized enterprises (SMEs). Furthermore, managerial and organizational inertia stems from a digital skills gap and resistance to change, while social concerns relate to consumer acceptance, data privacy, and digital equity. Synthesizing these findings, this review articulates a \"policy-technology nexus,\" arguing that a successful digital-circular transition is a sociotechnical challenge. The analysis demonstrates that EU policies must evolve from merely promoting technology to acting as system architects. This requires aligning digital infrastructure with market-shaping mechanisms to create the collaborative ecosystems necessary for a widespread and equitable transition. Finally, a research agenda is proposed focusing on technological integration, innovative business models, sociotechnical studies, and the governance of a just and ethical transition.","url":"https://doi.org/10.1111/1541-4337.70431","authors":["Carlos Parra-López","Carmen Carmona‐Torres"],"tags":["Sociotechnical system","European union","Interoperability","Transparency (behavior)","Digital economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-16","doi":"https://doi.org/10.1111/1541-4337.70431","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2766018516","name":"Quantitative analysis of folds by means of orthorectified photogrammetric 3D models: a case study from Mt. Catria, Northern Apennines, Italy","source":"openalex","abstract":"Abstract A 3D model of a plunging meso‐scale chevron fold affecting Mesozoic limestone has been generated, scaled and oriented applying a photogrammetrically based workflow. Bedding measurements allowed extracting the statistical direction of intersection between the bedding planes (the fold's β axis), allowing for the orthorectification of the 3D model and the construction of a photo‐realistic cross section. The methodology in this contribution constitutes an innovative tool, available to all, for the accurate quantitative analysis of geological structures.","url":"https://doi.org/10.1111/phor.12212","authors":["Amerigo Corradetti","Stefano Tavani","Mario Russo","Pau Arbués","Pablo Granado"],"tags":["Orthophoto","Photogrammetry","Geology","Intersection (aeronautics)","Section (typography)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-10-19","doi":"https://doi.org/10.1111/phor.12212","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7155359198","name":"Artificial Intelligence in Digital Twins for Adaptive Production Planning","source":"openalex","abstract":"This study examines the role of artificial intelligence (AI) in digital twins for adaptive production planning under volatile manufacturing conditions. The purpose is to develop a conceptual approach that integrates AI into digital twin architectures to improve planning responsiveness and decision quality. The method combines a focused analytical review of recent literature, conceptual system design, and a hypothetical scenario-based validation logic. The proposed architecture integrates real-time data acquisition, system-state modelling, scenario simulation, predictive analytics, and decision support. The analysis shows that AI strengthens digital twins by enabling bottleneck prediction, disruption detection, scenario evaluation, and maintenance-aware planning adjustments. The paper concludes that integrating AI into digital twins supports a shift from static planning to adaptive, data-driven planning with improved responsiveness and system stability.","url":"https://doi.org/10.21275/sr26416204229","authors":["Dmitrii Voistrochenko"],"tags":["Bottleneck","Production planning","Artificial intelligence","Computer science","Automated planning and scheduling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.21275/sr26416204229","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3137693125","name":"Understanding Memetic Media and Collective Identity Through Streamer Persona on Twitch.tv","source":"openalex","abstract":"Video game livestreamers on the leading platform Twitch.tv present a carefully curated version of themselves - negotiated in part via interactions with their viewers - resulting in collectively performed personas centred around individual streamers. These collective personas emerge from a combination of live performance, platform features including streamer-specific emoticons and audiovisual overlays, the games that streamers play, and how they play them. In this paper, I interrogate how these elements culminate in a feedback loop between individual streamers and non-streamer participants, specifically how platform features mediate and facilitate interactions between users. I also examine streaming persona as both a product and expression of this dynamic and the subsequent emergence of streamer-based social arrangement and collective value systems. I do this with particular attention to how memes operate uniquely within the livestreaming mode.","url":"https://doi.org/10.21153/psj2020vol6no2art966","authors":["Nathan J. Jackson"],"tags":["Persona","Social media","Value (mathematics)","Product (mathematics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-22","doi":"https://doi.org/10.21153/psj2020vol6no2art966","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7124201277","name":"Skin‐Integrated Wearable Electronics: A Dual‐Interface Perspective","source":"openalex","abstract":"ABSTRACT Skin‐integrated wearable electronics enable continuous, medical‐grade monitoring and therapy in daily life, but must balance conflicting needs related to mechanics, power, and communication. This review uses a dual‐interface approach that separates the sensor–receiver interface, which handles wireless data and energy transfer, from the sensor–skin interface, where physiological signals are converted and mechanical and biological integration occur. We first reviewed wireless connections designed for skin electronics, focusing on Bluetooth Low Energy (BLE), Radio Frequency Identification (RFID)/Near‐Field Communication (NFC) systems, and hybrid systems. Next, we examine sensor–skin interfaces ranging from mediated contact layers such as hydrogels for wearable ultrasound and soft conductive electrodes, to skin‐conformal direct‐contact methods based on structural mechanics, and ultrathin epidermal devices. Finally, we discuss cross‐interface coupling, emphasizing how antenna layouts, power budgets, and body‐induced RF effects limit mechanical design, and how skin mechanics influence link reliability. We conclude by exploring opportunities in battery‐free and energy‐autonomous systems, body‐coupled communication, and integration with artificial intelligence (AI)‐enabled digital health, positioning future electronic skins as soft, networked platforms that are comfortable and reliable.","url":"https://doi.org/10.1002/sys3.70013","authors":["Fuying Dong","Chi Han","Sheling T. Cai","Ju‐Hyuck Lee","Simiao Niu"],"tags":["Wearable computer","Bluetooth","Wearable technology","Wireless","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1002/sys3.70013","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7161915261","name":"Using a Digital Twin for Fringe Projection Profilometry Optimisation","source":"openalex","abstract":"Fringe projection profilometry (FPP) is a widely used technique for measuring object surface form and three-dimensional (3D) geometry, capable of delivering high-precision, high-resolution measurements when paired with suitable cameras and projectors. However, in practical deployments, identifying parameter configurations that maximise precision while satisfying real-world constraints remains challenging. To address this, we present an automated digital twin framework implemented in Blender, an open-source 3D software package that provides a ray-traced rendering environment that enables accurate simulation of physical systems. We replicated the physical setup in our digital twin by matching characterisation quality, gamma response, and characterisation images. Accurate system characterisation using Zhang's method [1], to obtain intrinsic and extrinsic parameters, is shown to be critical for achieving high precision. Using this digital twin, we then demonstrate systematic exploration and optimisation of key parameters, including phase-shift count, camera-projector spacing, and fringe density. These parameters span both system geometry (e.g. camera-projector positioning) and algorithmic choices, such as 2D phase-shifting and unwrapping methods [2]. Three measurement artefacts, representative of real world metrology scenarios, were used to benchmark the system. The symmetrical mean Chamfer distance (SMCD), computed between ground-truth and reconstructed meshes, was used to evaluate reconstruction quality. After optimisation within the digital twin, transferring the optimal parameters to the physical system reduced the number of required images per measurement by 48% (from 36 to 21). A reduction of 74.0% mean SMCD was also achieved for fringe pattern stripe count alteration. A 36.9% mean SMCD was obtained for adjusting the camera and projector spacing purely in the digital-twin.","url":"https://openalex.org/W7161915261","authors":["D. Weston","X. Kong","G. S. D. Gordon","S. Piano"],"tags":["Structured-light 3D scanner","Profilometer","Projector","Computer vision","Rendering (computer graphics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-18","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7118186566","name":"Innovative Preservation Technologies and Supply Chain Optimization for Reducing Meat Loss and Waste: Current Advances, Challenges, and Future Perspectives","source":"openalex","abstract":"Food loss and waste (FLW) is a chronic problem across food systems worldwide, with meat being one of the most resource-intensive and perishable categories. The perishable character of meat, combined with complex cold chain requirements and consumer behavior, makes the sector particularly sensitive to inefficiencies and loss across all stages from production to consumption. This review synthesizes the latest advancements in new preservation technologies and supply chain efficiency strategies to minimize meat wastage and also outlines current challenges and future directions. New preservation technologies, such as high-pressure processing, cold plasma, pulsed electric fields, and modified atmosphere packaging, have substantial potential to extend shelf life while preserving nutritional and sensory quality. Active and intelligent packaging, bio-preservatives, and nanomaterials act as complementary solutions to enhance safety and quality control. At the same time, blockchain, IoT sensors, AI, and predictive analytics-driven digitalization of the supply chain are opening new opportunities in traceability, demand forecasting, and cold chain management. Nevertheless, regulatory uncertainty, high capital investment requirements, heterogeneity among meat types, and consumer hesitancy towards novel technologies remain significant barriers. Furthermore, the scalability of advanced solutions is limited in emerging nations due to digital inequalities. Convergent approaches that combine technical innovation with policy harmonization, stakeholder capacity building, and consumer education are essential to address these challenges. System-level strategies based on circular economy principles can further reduce meat loss and waste, while enabling by-product valorization and improving climate resilience. By integrating preservation innovations and digital tools within the framework of UN Sustainable Development Goal 12.3, the meat sector can make meaningful progress towards sustainable food systems, improved food safety, and enhanced environmental outcomes.","url":"https://doi.org/10.3390/su18010530","authors":["Hysen Bytyqi","Ana Novo Barros","Victoria Krauter","Slim Smaoui","Theodoros Varzakas"],"tags":["Supply chain","Cold chain","Circular economy","Sustainability","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-05","doi":"https://doi.org/10.3390/su18010530","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2092413015","name":"THE CONTAMINATION OF LAKE SUPERIOR WITH AMPHIBOLE GANGUE MINERALS*","source":"openalex","abstract":"The Mesabi Range, The Biwabik Iron Formation and the Eastern Mesabi RegionIron ore has been mined along the Mesabi Range of central and northeastern Minnesota since approximately 1892.8 Forming a low-lying ridge, the range may be traced across the surface of that state for a distance of almost 130 miles.It consists of complexly folded Huronian metasediments initially recrystallized some two billion years ago.(See historical geology review in reference 9.) One of the prominent rock types of this range is an iron mesasediment, the Biwabik Formation, a member of the Animikie series.The Biwabik consists of iron oxides, hydroxides, silicates and carbonates ranging in thickness from some 400 to over 600 feet along the Mesabi.'*IoSeveral major lithologic units are made primarily of quartz and magnetite, geologically referred to as taconite, which is the source of the iron ore at present.The Duluth gabbro, of Keweenawan geological time, a high-temperature igneous rock, intruded the in place Biwabik Formation near its northern end, east of Mesabi, Minnesota (FIGURE 1).The Biwabik, at the contact with the intrusion, was locally subjected to high temperatures and pressures, and metasomatic processes which caused its pre-existing low-temperature mineral assemblage to change profoundly.The original silicate assemblage was metamorphosed to amphibole-pyroxene-and olivine-bearing rock types (all high-temperature minerals) (reference 10, see his figure 23).This local area of the Biwabik, markedly dissimilar mineralogically from the rest of the iron formation, has been termed the Eastern Mesabi.The mineralogy of the Biwabik Formation in the Eastern Mesabi area has been the subject of a number of papers.A description of the mineral content of different stratigraphic members of the Formation, their petrography (as related to the major ore-producing horizons) was provided by Gundersen and Schwartz?the mineralogy as affected by progressive metamorphism at the gabbro contact, was detailed by French;\" the geochemistry and phase relationships of metamorphic pyroxenes and amphiboles in the Eastern Mesabi region was discussed by Bonnichsen;\" specific crystallographic characteristics of hornblende and cummingtonite in the Biwabik, with reference to the Occurrence of intergrowths and exsolution lamellae, were described by Ross, et al..'' Reference to unmixing of cummingtonite from actinolite in iron formations has been made by Ross.\"All investigators emphasized the unusual and complex nature of the mineralogy of the Eastern Mesabi region. Present Exploitation of Iron Ore in the BiwabikIn the Eastern Mesabi region, near Babbitt, Minnesota, the Reserve Mining Company operates an open pit iron-ore mine, designated the Peter Mitchell pit.Since 1956, after the high grade hematite (Fe,O,) zones (surface oxidized magnetite to hematite) were exhausted, a method for processing large quantities of taconite host was developed which made exploitation of the primary magnetite (Fe30,) economically feasible.After several years (about 1961).one hundred thousand tons of taconite, containing both ore and gangue, had been removed daily from the Peter Mitchell pit and shipped by rail to a processing plant at Silver Bay, Minnesota, on the shore of Lake Superior (FIGURE 1).Here, the rock is crushed, pulverized, mixed with lake water to form a diluted muddy slurry, and then passed through magnetic separators to remove magnetite.Hundreds of millions of gallons of water-tailings slurry are returned to the lake after processing.A containment delta was built for the 17496632, 1979,","url":"https://doi.org/10.1111/j.1749-6632.1979.tb18760.x","authors":["Arthur M. Langer","C. M. Maggiore","W. J. Nicholson","Arthur N. Rohl","Ivan B. Rubin","Irving J. Selikoff"],"tags":["Amphibole","Contamination","Gangue","Environmental science","Geochemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1979-12-01","doi":"https://doi.org/10.1111/j.1749-6632.1979.tb18760.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2904823778","name":"Germline Pathogenic Variants in Homologous Recombination and DNA Repair Genes in an Asian Cohort of Young-Onset Colorectal Cancer","source":"openalex","abstract":"Abstract Background Growing evidence suggests a role for cancer susceptibility genes such as BRCA2 and PALB2 in young-onset colorectal cancers. Using a cohort of young colorectal cancer patients, we sought to identify and provide functional evidence for germline pathogenic variants of DNA repair genes not typically associated with colorectal cancer. Methods We recruited 88 patients with young-onset colorectal cancers seen at a general oncology center. Whole-exome sequencing was performed to identify variants in DNA repair and colorectal cancer predisposition genes. Pathogenic BRCA2 and PALB2 variants were analyzed using immunoblot and immunofluorescence on patient-derived lymphoblastoid cells. Results In general, our cohort displayed characteristic features of young-onset colorectal cancers. Most patients had left-sided tumors and were diagnosed at late stages. Four patients had familial adenomatous polyposis, as well as pathogenic APC variants. We identified 12 pathogenic variants evenly distributed between DNA repair and colorectal cancer predisposition genes. Six patients had pathogenic variants in colorectal cancer genes: APC (n = 4) and MUTYH monoallelic (n = 2). Another six had pathogenic variants in DNA repair genes: ATM (n = 1), BRCA2 (n = 1), PALB2 (n = 1), NTHL1 (n = 1), and WRN (n = 2). Pathogenic variants BRCA2 c.9154C>T and PALB2 c.1059delA showed deficient homologous recombination repair, evident from the impaired RAD51 nuclear localization and foci formation. Conclusion A substantial portion of pathogenic variants in young-onset colorectal cancer was found in DNA repair genes not previously associated with colorectal cancer. This may have implications for the management of patients. Further studies are needed to ascertain the enrichment of pathogenic DNA repair gene variants in colorectal cancers.","url":"https://doi.org/10.1093/jncics/pky054","authors":["Ming Ren Toh","Jianbang Chiang","Siao Ting Chong","Sock Hoai Chan","Nur Diana Binte Ishak","Eliza Courtney","Wei Hao Lee","Syed Muhammad Fahmy Bin Syed Abdillah Al","John Carson Allen","Kiat Hon Lim","Sonia Dávila","Patrick Tan","Weng Khong Lim","Iain Bee Huat Tan","Joanne Ngeow"],"tags":["PALB2","MUTYH","Colorectal cancer","Medicine","DNA repair"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-09-12","doi":"https://doi.org/10.1093/jncics/pky054","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7153182134","name":"Optimization of food production efficiency using adaptive digital modeling and digital twin technologies","source":"openalex","abstract":"Food production should be adaptive to enhance the competitiveness of the food industry in Kazakhstan. The following article deals with the Digital Twin for confectionary production, leveraging IoT, robotics, and machine vision for flexibility. It will make it possible to turn any conventional bakery into an automated mini-factory for highly customized products with much higher efficiency at a lower cost and with far greater adaptability.","url":"https://doi.org/10.47533/2026.1606-146x.1-01","authors":["B.A. Belgibayev","M. Ye. Mansurova","G.A. Amirkhanova","T.S. Sarsembayeva","S Baipakbayeva","G.A. Alibekova"],"tags":["Production (economics)","Computer science","Production efficiency","Food industry","Food processing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.47533/2026.1606-146x.1-01","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2040253731","name":"Cross‐modal generality of the gating deficit","source":"openalex","abstract":"Auditory P50/M50 paired-click studies have established an association between schizophrenia and impaired sensory gating in the auditory modality. However, the presumed cross-modal generality of the gating deficit has received little study. The present study examined gating in area 3b of primary somatosensory cortex to evaluate patients' somatosensory gating at this first stage of cortical processing. One hundred twenty-two channels of magnetoencephalography (MEG) data were collected from 27 subjects with chronic schizophrenia and 21 controls during a somatosensory paired-pulse paradigm with a 75- or 500-ms interstimulus interval. M20 somatosensory responses were localized using magnetic source imaging, and a gating ratio was calculated. In a subset of these subjects, MEG was also done for the standard auditory paradigm to assess M50 gating. Patients showed abnormal auditory M50 gating but normal somatosensory M20 gating. Results argue against a cross-modal gating deficit in primary somatosensory cortex.","url":"https://doi.org/10.1111/j.1469-8986.2005.00292.x","authors":["J. Christopher Edgar","Gregory A. Miller","Sandra N. Moses","Robert J. Thoma","Mingxiong Huang","Faith M. Hanlon","Michael P. Weisend","Andrea Sherwood","Juan Bustillo","L.E. Adler","José M. Cañive"],"tags":["Gating","Sensory gating","Magnetoencephalography","Somatosensory system","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2005-05-01","doi":"https://doi.org/10.1111/j.1469-8986.2005.00292.x","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7149212655","name":"THE POWER OF DIGITAL TWINS: UNLEASH SUPPLY CHAIN DECISIONS","source":"openalex","abstract":"International audience","url":"https://openalex.org/W7149212655","authors":["Gilles Paché"],"tags":["Supply chain","Business","Power (physics)","Computer science","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3111044542","name":"Virtual Factories with Knowledge-Driven Optimization as a New Research Profile","source":"openalex","abstract":"This paper conceptually introduces VF-KDO (Virtual Factories with Knowledge-Driven Optimization, a research profile of the University of Skövde, Sweden, which is underway from 2018-2026. The goal of this research profile is to deliver radical innovations in manufacturing research essential to the design and operation of next-generation manufacturing systems. A unique concept proposed in VF-KDO is: knowledge extracted for decision support is achieved through systematically exploring, e.g., using advanced, interactive data analytics techniques on optimal solutions generated via many-objective optimizations on virtual factory models. As the word “driven” means “motivated” or “manipulated”, so does KDO have some two-fold meanings: (1) optimizations that aim at generating knowledge, not only mathematically optimal solutions; (2) knowledge-controlled optimizations, instead of some blind/black-box processes. It is this concept of KDO, combining with modular, virtual factory models at different levels, which distinguishes VF-KDO from other related research efforts found internationally and in Sweden. The cutting-edge research topics involved in the research profile and their synergy with the digitalization efforts of the 7 partner companies, in form of the development of an intelligent decision support system, can be used to improve the competiveness of the Swedish manufacturing industry by supporting their holistic, optimal and sustainable decision making.","url":"https://doi.org/10.3233/atde200155","authors":["Amos H.C. Ng","Sunith Bandaru"],"tags":["Factory (object-oriented programming)","Modular design","Analytics","Manufacturing engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-10","doi":"https://doi.org/10.3233/atde200155","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4396214404","name":"Anomaly Detection in Smart Environments: A Comprehensive Survey","source":"openalex","abstract":"Anomaly detection is a critical task in ensuring the security and safety of infrastructure and individuals in smart environments. This paper provides a comprehensive analysis of recent anomaly detection solutions in data streams supporting smart environments, with a specific focus on multivariate time series anomaly detection in various environments, such as smart home, smart transport, and smart industry. The aim is to offer a thorough overview of the current state-of-the-art in anomaly detection techniques applicable to these environments. This includes an examination of publicly available datasets suitable for developing these techniques. The survey is designed to inform future research and practical applications in the field, serving as a valuable resource for researchers and practitioners. It not only reviews a range of state-of-the-art anomaly detection methods, from statistical and proximity-based to those adopting deep learning-methods but also covers fundamental aspects of anomaly detection. These aspects include the categorization of anomalies, detection scenarios, challenges associated, and evaluation metrics for assessing the techniques’ performance.","url":"https://doi.org/10.1109/access.2024.3395051","authors":["Daniel Fährmann","Laura Martín","Luı́s Sánchez","Naser Damer"],"tags":["Anomaly detection","Computer science","Categorization","Field (mathematics)","Data stream mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3395051","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W3037890850","name":"Learning for all? Second-level education in Ireland during COVID-19","source":"openalex","abstract":"Second-level schools in Ireland faced different challenges when responding to the COVID-19 school closures depending on their locations and socioeconomic environments, according to new ESRI research in partnership with the Department of Communications, Climate Action and the Environment (DCCAE) and the Commission for Communications Regulation (ComReg).","url":"https://doi.org/10.26504/sustat92.pdf","authors":["ESRI","Gretta Mohan","Selina McCoy","ESRI","Eamonn Carroll","ESRI","Georgiana Mihut","ESRI","Seán Lyons","ESRI","Ciarán Mac Domhnaill","ESRI"],"tags":["Coronavirus disease 2019 (COVID-19)","Commission","General partnership","Socioeconomic status","European commission"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-25","doi":"https://doi.org/10.26504/sustat92.pdf","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7166471153","name":"W5.6 — Retail digital ecosystem (BERT, ABM, digital twin): an umbrella review (M6 monograph)","source":"openalex","abstract":"CCREP Level 4 monograph umbrella review W5.6. Monograph: M6. Type: Umbrella Review (JBI Umbrella Review methodology + Cochrane Overview chapter). Part of CCREP literature review programme (48 reviews 2026-2050). Linked Wave 1 dashboard: https://osf.io/3c5ds/. Wave 2: https://osf.io/qzg6v/. Wave 3: https://osf.io/cyhvq/.","url":"https://doi.org/10.17605/osf.io/t7bre","authors":["Vitaliy Kolomiets"],"tags":["Business","Digital ecosystem","Systematic review","Work (physics)","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-11","doi":"https://doi.org/10.17605/osf.io/t7bre","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2790426917","name":"Women’s mental health in the perinatal period according to migrant status: the French representative ELFE birth cohort","source":"openalex","abstract":"Background: Mental health problems in the perinatal period are common. We examined associations between different categories of migrant status and region of origin in relation to mental health during pregnancy and at 2 months post-partum. Methods: We analyzed data from the French nationally representative Etude Longitudinale Française depuis l'Enfance birth cohort (n = 17 988). Migrant status was divided into five categories: 'majority population', 'descendants with one migrant parent', 'descendants with two migrant parents', 'naturalized migrant' and 'non-naturalized migrant women'. Multivariate logistic regression models were implemented to examine associations between migrant status and mental health outcomes: persistent psychological difficulties during pregnancy as well as mother's depression and poor self-reported health at 2 months post-partum. Results: After adjusting for covariates, migrant status was not associated with psychological difficulties during pregnancy. Descendants of migrants had comparable mental health to the majority population. Non-naturalized migrant women were more likely to experience depression (odd's ratio (OR)= 1.66, 95%confidence interval (CI): 1.27, 2.20) and poor self-reported health (OR = 1.45, 95%CI: 1.06, 1.98) during the post-partum period. The region of origin was associated with post-partum health independently of migrant status, such that women from Africa and Turkey were most likely to have depression or poor self-rated health. Conclusion: First, but not second, generation migrant women appear to have high levels of mental health difficulties during the post-partum period. Women from North Africa, Sub-Saharan Africa, and Turkey have higher levels of distress than those from other regions. In particular, non-naturalized migrant appear to be a vulnerable group; they may disproportionately face stressors that increase their risk for post-partum depressive symptoms.","url":"https://doi.org/10.1093/eurpub/cky008","authors":["Fabienne El-Khoury","Anne‐Laure Sutter‐Dallay","Lidia Panico","Marie‐Aline Charles","Élie Azria","Judith van der Waerden","Maria Melchior"],"tags":["Perinatal period","Mental health","Cohort","Pregnancy","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-12","doi":"https://doi.org/10.1093/eurpub/cky008","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W7160094985","name":"Digitainability in Education: A Framework for Sustainability and Digitality as a Twin Transformation","source":"openalex","abstract":"Digitainability is increasingly invoked at the intersection of sustainability and digital transformation. In education, however, the two discourses are still often negotiated separately. This conceptual paper addresses that gap by focusing on educational debates across Germany, Austria and Switzerland (the DACH region) and by developing a conceptual–synthetic argument based on a purposive reconstruction of key reference texts. It argues that sustainability-related educational aims—particularly SDG target 4.7—remain conceptually under-specified when digitality is primarily understood as a toolkit rather than a socio-technical condition. It also contends that the digital transformation in education can only be assessed and shaped responsibly when sustainability and justice are treated as integral to the analysis and design of educational processes. Against this backdrop, the paper develops the Digitainability Framework as a heuristic for reflection, analysis, and design. The framework proposes a double perspective: sustainable digitality (the design of ‘onlife’ environments) and sustainability under conditions of digitality (the negotiation of sustainability-related conflicts in media-shaped, increasingly platformised publics). Across both perspectives, the framework makes explicit four intersecting framings—cultural, power-related, discursive, and agent-related—while keeping sustainability in view across its social, ecological, and economic dimensions. A brief example illustrates the framework’s potential.","url":"https://doi.org/10.3390/educsci16050721","authors":["Richard Böhme"],"tags":["Sustainability","Argument (complex analysis)","Negotiation","Intersection (aeronautics)","Heuristic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-02","doi":"https://doi.org/10.3390/educsci16050721","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4200548884","name":"Analysis of the PEBP gene family and identification of a novelFLOWERING LOCUS Torthologue in sugarcane","source":"openalex","abstract":"Sugarcane (Saccharum spp.) is an important economic crop for both sugar and biomass, the yields of which are negatively affected by flowering. The molecular mechanisms controlling flowering in sugarcane are nevertheless poorly understood. RNA-seq data analysis and database searches have enabled a comprehensive description of the PEBP gene family in sugarcane. It is shown to consist of at least 13 FLOWERING LOCUS T (FT)-like genes, two MOTHER OF FT AND TFL (MFT)-like genes, and four TERMINAL FLOWER (TFL)-like genes. As expected, these genes all show very high homology to their corresponding genes in Sorghum, and also to FT-like, MFT-like, and TFL-like genes in maize, rice, and Arabidopsis. Functional analysis in Arabidopsis showed that the sugarcane ScFT3 gene can rescue the late flowering phenotype of the Arabidopsis ft-10 mutant, whereas ScFT5 cannot. High expression levels of ScFT3 in leaves of short day-induced sugarcane plants coincided with initial stages of floral induction in the shoot apical meristem as shown by histological analysis of meristem dissections. This suggests that ScFT3 is likely to play a role in floral induction in sugarcane; however, other sugarcane FT-like genes may also be involved in the flowering process.","url":"https://doi.org/10.1093/jxb/erab539","authors":["Julien Venail","Paulo Henrique da Silva Santos","João Ricardo Vieira Manechini","Leonardo Cardoso Alves","Maximiliano Salles Scarpari","Thaís Castilho de Arruda Falcão","Elisson Romanel","Michael dos Santos Brito","Renato Vicentini","Luciana Rossini Pinto","Stephen Jackson"],"tags":["Arabidopsis","Biology","Meristem","Gene","Locus (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-09","doi":"https://doi.org/10.1093/jxb/erab539","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W4400596544","name":"Sustainable procurement practices: Balancing compliance, ethics, and cost-effectiveness","source":"openalex","abstract":"Sustainable procurement, the acquisition of goods and services that ensures positive environmental, social, and economic impacts, is essential for contemporary business practices. This paper explores the integration of compliance, ethics, and cost-effectiveness within sustainable procurement. Compliance is governed by regulatory frameworks like ISO 20400 and government regulations, ensuring adherence to sustainability standards. Ethical procurement upholds fairness, transparency, integrity, and human rights principles, positively impacting stakeholders such as suppliers, employees, and communities. Cost-effectiveness in sustainable procurement brings significant economic benefits, including cost savings, efficiency gains, and long-term financial advantages. A holistic approach integrating these elements is crucial for developing a sustainable procurement strategy. Organizations are encouraged to prioritize sustainable procurement by developing clear policies, engaging stakeholders, providing training, managing suppliers effectively, and leveraging technology. The paper concludes that balancing these three aspects fosters trust among stakeholders, enhances brand reputation, and ensures long-term operational efficiency, contributing to broader sustainability goals and driving overall organizational success.","url":"https://doi.org/10.30574/gscarr.2024.20.1.0247","authors":["Victor Ibukun Adebayo","Patience Okpeke Paul","Nsisong Louis Eyo-Udo"],"tags":["Compliance (psychology)","Procurement","Business","Operations management","Environmental economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-11","doi":"https://doi.org/10.30574/gscarr.2024.20.1.0247","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"oa:W2589520935","name":"Are we any closer to sustainable development? Listening to active stakeholder discourses of tourism development in the Waterberg Biosphere Reserve, South Africa","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tourman.2017.01.010","authors":["Andrew Lyon","Philippa Hunter‐Jones","Gary Warnaby"],"tags":["Stakeholder","Biosphere","Tourism","Ecotourism","Active listening"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-02-24","doi":"https://doi.org/10.1016/j.tourman.2017.01.010","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.56975/ijrar.v13i2.334330","name":"CCDT Cognitive Digital Twin For Cloud Operating System","source":"crossref","abstract":"","url":"https://doi.org/10.56975/ijrar.v13i2.334330","authors":["Umaa Maheshwary SV","T Kamal Raj","D Kirubha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-13T11:28:17Z","doi":"10.56975/ijrar.v13i2.334330","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.3390/su18052361","name":"Can Digital Twin Technology Enhance Supply-Chain Resilience? A Systematic Literature Review","source":"crossref","abstract":"Digital twin technology (DTT) creates a virtual replica of a physical object, system, or process and uses real-time data to support monitoring, analysis, and control. Although DTT is increasingly discussed as a means to enhance supply-chain resilience, prior evidence is fragmented and lacks an integrated view across disruption stages. This study conducts a systematic literature review of 89 peer-reviewed articles on DTT and supply-chain resilience, applying relevance-based screening to retain studies with substantive theoretical and practical implications. The review indicates that DTT applications for resilience are emergent but gaining momentum, and that their contribution differs by resilience stage. Specifically, DTT capabilities support preparedness through enhanced visibility, risk sensing, and scenario testing; resistance through real-time monitoring, early warning, and evaluation of mitigation options; rebound through response coordination, recovery planning, and adaptive reconfiguration; and growth through post-disruption learning and network redesign. The synthesis also identifies key barriers to adoption, including data quality limitations, high implementation costs, shortages of specialised skills, and governance challenges, and suggests that integration with complementary digital technologies often enables more advanced functionality. Overall, the study provides a stage-based consolidation of DTT capabilities, benefits, and barriers to guide research and managerial deployment.","url":"https://doi.org/10.3390/su18052361","authors":["Congyang Liu","Yingli Wang","Laura Purvis","Andrew Potter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-02T12:39:56Z","doi":"10.3390/su18052361","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.1109/access.2026.3681818","name":"DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3681818","authors":["Rahatara Ferdousi","M. Anwar Hossain","Chunsheng Yang","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-07T20:01:14Z","doi":"10.1109/access.2026.3681818","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.2139/ssrn.7102480","name":"Digital-Twin-Driven Life-Cycle Energy Optimisation and Dynamic Scheduling for Heavy Equipment: Dual-Platform Simulation Validation for a Large Hydraulic Forging Press","source":"crossref","abstract":"This paper develops a Digital Twin-driven modelling and decision-support framework for life-cycle energy optimisation and dynamic scheduling of a 20–80 MN large hydraulic forging press. The engineering problem is that conventional hydraulic presses often supply more hydraulic power than the forming process actually demands, especially during waiting, rapid approach, unloading and return strokes. This mismatch produces avoidable pump, throttling, leakage and thermal-management losses that cannot be addressed by a single local control rule. The proposed framework combines a functional description of the press cycle, a parameterised energy model, sensitivity-based machine-level optimisation, rolling-horizon scheduling, and predictive maintenance logic. Dual-platform simulation is used for validation: Simulink evaluates single-machine effects of load, speed, temperature and operating mode, while MATLAB evaluates system-level scheduling, degradation and disturbance response. The results show that load and speed optimisation reduce energy per cycle and peak power under representative operating conditions, whereas temperature and operating-behaviour constraints mainly improve stability and equipment health at the cost of additional energy. System-level scheduling and predictive maintenance further reduce energy degradation and improve operational response. The study demonstrates that energy optimisation for heavy equipment must be treated as a coupled machine-control, scheduling and maintenance problem rather than as a single-cycle efficiency problem.","url":"https://doi.org/10.2139/ssrn.7102480","authors":["Shirui Li","Alistair Greig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-13T00:35:36Z","doi":"10.2139/ssrn.7102480","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.31031/eme.2026.06.000646","name":"4.0 Sustainable Industry with a Nature-Inspired Human-Mimetic Intelligent Swarm Powered Digital Twin Maintenance Adaptation","source":"crossref","abstract":"","url":"https://doi.org/10.31031/eme.2026.06.000646","authors":["Ebrahim Ali Alzalab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-23T07:08:57Z","doi":"10.31031/eme.2026.06.000646","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.1109/lsens.2025.3642424","name":"Digital Twin for Drone Indoor Autonomous Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lsens.2025.3642424","authors":["M. Jaswanth Kumar","Satyam Singh","Ahnaf Saneen","Della Thomas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-10T18:34:43Z","doi":"10.1109/lsens.2025.3642424","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.12688/digitaltwin.17615.1","name":"Construction method of high-horsepower tractor digital twin","source":"crossref","abstract":"Background: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development, manufacturing, operation and maintenance control, recycling and other links of agricultural machinery equipment are still independent of each other. The massive information in the agricultural production process has not been fully utilized, so there are some outstanding problems such as low operating performance, low production efficiency, and poor integration of agricultural machinery and agronomy. Methods: Focusing on the agricultural production process, this paper proposes the construction method for a high-horsepower tractor digital twin, and expounds on its operation mechanism. Taking high-horsepower tractor ploughing operation as an example, by deploying tractors, central servers, and an Internet of Things (IoT) platform, we developed a digital twin service platform for the agricultural production system of intelligent agricultural machinery equipment and built a tractor digital twin to verify the effectiveness of the proposed method. Results: The accuracy rate of the tractor ploughing quality prediction service based on this platform is 96.65%. Under open-loop control, the number of excellent, good, medium and poor sets of the tractor ploughing quality are 153, 955, 1470, and 1422, respectively. After adopting closed-loop control, the number of excellent and good sets increased by 378, and 821, respectively, and the number of medium and poor groups decreases by 119 and 1080, respectively. Through this platform, the operation quality can be effectively and accurately predicted and improved, which verifies the effectiveness of the proposed construction method of high-horsepower tractor digital twin. Conclusions: This research provides a method framework for the construction of the digital twin of tractor operation and maintenance control processes, and provides strong support for the vigorous development of intelligent agriculture.","url":"https://doi.org/10.12688/digitaltwin.17615.1","authors":["Yanan Zhang","Yuefeng Du","Zihan Yang","Du Chen","Zhenghe Song","Zhongxiang Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-13T12:10:25Z","doi":"10.12688/digitaltwin.17615.1","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.5171/2026.228288","name":"Development and Validation of an X-ray Security Scanner Digital Twin for Synthetic Image Generation","source":"crossref","abstract":"This paper details the comprehensive development and rigorous validation of a functional digital twin for a conventional airport security X-ray baggage screening system. The primary objective was to create a physically accurate software simulation capable of generating high-fidelity synthetic X-ray images to address the scarcity of large-scale, annotated datasets in the aviation security domain. The modeling pipeline began with the meticulous creation of core, reusable three-dimensional assets. Using Blender 3D, a diverse library of baggage items, common contents, and prohibited threat objects was designed with precise geometric and material properties. These models were subsequently imported into the Unity 3D real-time development platform, which acted as the central rendering engine for scene composition and image synthesis. The cornerstone of the system’s realism is a custom-built, physics-based rendering shader, programmed directly in High-Level Shading Language (HLSL). This shader implements a simplified yet effective model of X-ray transmission, simulating the differential absorption characteristics of various materials. To validate the visual fidelity and practical utility of the digital twin, its output was subjected to a qualitative comparative analysis against ground-truth images captured from a physical Krystal Vision X-Ray Baggage Scanner. The results indicate a significant degree of visual congruence between the synthetic and real X-ray images, confirming that the proposed methodology can produce perceptually convincing simulations. The successful implementation of this digital twin demonstrates a viable pathway for the on-demand generation of limitless, perfectly annotated training data. This tool holds substantial promise for two critical applications: first, for the cost-effective and scalable training of security screening personnel via realistic virtual simulators, and second, for accelerating the development and robustness testing of automated threat detection algorithms based on deep learning, all while circumventing the significant logistical, financial, and security constraints associated with continuous access to operational screening equipment.","url":"https://doi.org/10.5171/2026.228288","authors":["Aleksander Dawid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-03T13:59:31Z","doi":"10.5171/2026.228288","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.2139/ssrn.7023058","name":"Digital Twin-Driven Deep Learning and Multi-Agent Reinforcement Learning for Energy Management of Smart Microgrids","source":"crossref","abstract":"The increasing integration of electric vehicles (EVs) and vehicle-to-grid (V2G) technology introduces significant operational challenges in modern power systems, mainly due to the high uncertainty of renewable generation and rapidly varying demand profiles. Conventional energy management approaches are often based on simplified system models or centralized optimization schemes, which struggle to capture system dynamics in real time and scale effectively under highly stochastic and large-scale operating conditions. However, most existing studies still lack a unified framework that can simultaneously provide accurate prediction of uncertain renewable generation, real-time system representation, and adaptive decentralized decision-making for large-scale EV coordination. To address these limitations, this paper proposes an integrated framework combining Digital Twin Technology (DTT), Deep Neural Networks (DNN), and Multi-Agent Reinforcement Learning (MARL) for real-time EV charging and discharging optimization. This integration enables coordinated prediction, decision support, and distributed control within a data-driven framework, improving adaptability compared to conventional standalone approaches. In a Smart Neighborhood scenario, interconnected residential microgrids host multiple electric vehicles that operate as autonomous agents using a Q-learning-based strategy. Within this framework, EVs dynamically adapt their behavior by charging during renewable energy surplus, discharging during energy deficits, and remaining idle when no beneficial action exists, enabling efficient local energy management. Simulation results demonstrate that the proposed approach improves energy utilization efficiency, reduces battery degradation, and enhances overall system performance while increasing economic benefits for both EV owners and grid operators.","url":"https://doi.org/10.2139/ssrn.7023058","authors":["Seyed  Sajjad Sajjadi","Homa Rashidizadeh-Kermani","Abdolreza Moghadassi","Miadreza Shafie-khah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T22:06:58Z","doi":"10.2139/ssrn.7023058","addedAt":"2026-09-01T01:47:40.503Z","updatedAt":"2026-09-01T01:47:40.503Z"},{"id":"doi:10.34133/research.1417","name":"A Diffusion-Based Digital Twin for Predicting Road Deterioration under Climate and Traffic Stress","source":"crossref","abstract":"","url":"https://doi.org/10.34133/research.1417","authors":["Ning Pan","Yuchuan Du","Ajith Kumar Parlikad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-11T05:42:10Z","doi":"10.34133/research.1417","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s44327-026-00348-3","name":"Governance and data readiness as prerequisites for digital twin adoption in small and midsize cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44327-026-00348-3","authors":["Alence Poudel","Emily Moore"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T06:57:40Z","doi":"10.1007/s44327-026-00348-3","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1080/28375807.2024.2313975","name":"Digital transition, digital twin and digital water: history, concepts and overview for the application to aqueducts","source":"crossref","abstract":"","url":"https://doi.org/10.1080/28375807.2024.2313975","authors":["Orazio Giustolisi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-13T10:43:19Z","doi":"10.1080/28375807.2024.2313975","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.6569987","name":"Robust 3D Digital Twin Reconstruction for Bridge Structures UnderSparse-View Constraints Using Guided Gaussian Splatting","source":"crossref","abstract":"High-fidelity 3D reconstruction of bridge structures is crucial for creating accurate bridge digital twins, which serve as virtual representations of physical infrastructure for structural health monitoring, deformation analysis, and maintenance decision support. However, in practical field environments, data acquisition is often limited to sparse-view images due to safety, accessibility, and cost constraints, posing significant challenges to conventional reconstruction methods. To address this issue, we propose a vision-guided Gaussian splatting framework with confidence-driven geometric optimization for robust sparse-view 3D reconstruction tailored for bridge digital twin development. Specifically, our method first extracts structural geometric priors from pre-trained vision foundation models to enhance the perception of key structural features under limited viewpoints. We then introduce a confidence-guided Gaussian component selection and uncertainty sampling strategy to retain reliable regions while adaptively addressing uncertain areas, thereby improving geometric fidelity essential for engineering assessment. To further enforce geometric consistency and mitigate overfitting, we incorporate both depth-aware regularization and pseudo-view constraints. Experimental results on the LLFF benchmark and a real-world UAV bridge dataset demonstrate that our method outperforms state-of-the-art techniques in reconstruction accuracy and structural integrity metrics, providing a robust and practical solution for engineering applications such as intelligent bridge inspection and digital twin-based infrastructure monitoring.","url":"https://doi.org/10.2139/ssrn.6569987","authors":["Wei Ma","Qiang Tu","Liang Ge","Chongsheng Cheng","Lianjie Zhou","Xu Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-13T17:38:23Z","doi":"10.2139/ssrn.6569987","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.58286/32507","name":"Validation of a Cloud-Based Digital Twin for Longterm SHM","source":"crossref","abstract":"Physics-informed digital twins represent a decisive step toward understanding the true behavior of bridge structures throughout their entire lifecycle. This paper presents the field validation of a high-fidelity, physics-informed digital twin for a prestressed concrete highway bridge commissioned by ASFINAG Austria. The system has been in continuous operation for more than four years, covering all phases from construction and early-age behavior to longterm service conditions. The digital twin integrates distributed fiber-optic sensing, nonlinear finite element analysis, and inverse parameter identification into a unified framework that continuously calibrates itself to the real bridge response. Over 7 km of fiber-optic cables are embedded in the deck, webs, piers, and foundations, providing distributed strain and temperature data. These data are processed through the cloud-based WeStatiX SHM platform, which performs automated model updating using physics-informed neural networks (PINNs) and operational modal analysis (OMA). This approach ensures that the digital twin remains consistent with the governing physics of the structure while adapting to changing conditions. Four years of continuous monitoring have revealed a significant deviation between actual and design-predicted behavior, particularly regarding creep, shrinkage, and thermal gradients. Daily nonlinear simulations have shown that these effects dominate the long-term deformation and stress redistribution of the structure. Validation through live load testing confirmed that measured and simulated strains agree within 1%, demonstrating the robustness of the selfcalibrating process. The results provide one of the first long-term validations of an autonomous, physicsinformed digital twin for bridge infrastructure. The system transforms SHM from data collection into predictive, knowledge-based asset management, enabling objective condition assessment and proactive maintenance planning.","url":"https://doi.org/10.58286/32507","authors":["Nils Weissenbach","Massimo Penasa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-05T05:58:33Z","doi":"10.58286/32507","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394287420.ch7","name":"Blockchain for Edge Association in Digital Twin Empowered 6G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420.ch7","authors":["C. Fancy","M. Anand","T. M. Sheeba"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:06:37Z","doi":"10.1002/9781394287420.ch7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394303564.ch8","name":"Blockchain‐Based Secure Digital Twin Framework for Smart Healthy City","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch8","authors":["Sneha Kanawade","Suvarna Patil","Shivganga Gavhane","Nalini S. Jagtap","Amit Bhanushali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch8","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.6862445","name":"A Digital Twin-Driven Deep Reinforcement Learning Framework for Multi-Objective Optimization of Urban Transit Systems","source":"crossref","abstract":"Urban transit systems are known to operate under the influence of dynamic elements and uncertainties. Static schedules and meta-heuristic approaches are too rigid to account for the changing dynamics caused by the variability of demand and other factors. In this regard, this work presents a novel approach based on the implementation of Deep Reinforcement Learning (DRL) in conjunction with a Digital-Twin (DT) of metropolitan urban transit systems. Specifically, a microscopic DT model constructed with Open Street Map (OSM) and GTFS datasets is used alongside the Deep Q-Network agent in an adaptive loop. A 260-dimensional microscopic digital twin is combined with a Deep Q-network agent that selects one out of 27 actions. Multi-objective rewards were defined in order to optimize for reduced waiting times, reduced emission levels, and reduced irregularity (bunching). Experiments conducted using the developed framework have proved the superiority of the proposed methodology over the conventional methods in terms of the reduction of total CO2 emissions by up to 28.3%, as well as achieving an increase in regularity level by 50% while remaining resilient to extreme changes in demand levels. Furthermore, sub-millisecond inference delays indicated the suitability of the model for applications in real-world scenarios within smart cities. Results revealed the applicability of the proposed framework to the issue at hand.","url":"https://doi.org/10.2139/ssrn.6862445","authors":["Surafel Kebede Argaw","Girma Gebresenbet","Alemayehu  Wakjira Huluka","Amanuel  Gebisa Aga"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-01T14:48:36Z","doi":"10.2139/ssrn.6862445","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394303564.ch4","name":"Blockchain and Digital Twin for Enhancing Personal Security in Modern Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch4","authors":["J. Charanya","P.S. Abinaya","R. Dhanusha","G.V. Aadhavan","Prakash Duraisamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3390/electronics15101993","name":"A Viewpoint on Event-Driven Perception and Digital Twin Integration for Autonomous Mining Robotics","source":"crossref","abstract":"Robotic systems are increasingly being deployed in mining operations to support tasks such as inspection, navigation, environmental monitoring, and safety supervision. However, mining environments present significant challenges for robotic perception due to dynamic terrain conditions, poor illumination, airborne dust, and frequent disturbances caused by excavation and heavy machinery. Conventional frame-based vision systems often struggle under these conditions due to motion blur, latency, and limited dynamic range. This study proposes a system-level conceptual framework for integrating event-based sensing into robotic mining systems in order to support perception in highly dynamic and safety-critical environments, with the aim of improving responsiveness and robustness under such conditions. Event-based cameras, inspired by biological vision, asynchronously detect brightness changes at the pixel level and provide microsecond temporal resolution with high dynamic range and low latency. The proposed framework combines event cameras with complementary sensing modalities including LiDAR, inertial measurement units, and RGB cameras to form a multi-sensor perception architecture. The framework is structured into multiple functional layers encompassing environmental sensing, event-driven perception, sensor fusion and AI processing, digital twin integration, and autonomous decision-making. Potential application scenarios including robotic tunnel inspection, autonomous navigation of mining robots, hazard detection, multi-agent cooperation in mining sites, and real-time digital twin updating are also discussed. The proposed framework provides a unified system-level reference architecture intended to guide future implementation and validation.","url":"https://doi.org/10.3390/electronics15101993","authors":["Vasiliki Balaska","Antonios Gasteratos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-11T13:10:42Z","doi":"10.3390/electronics15101993","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.7042441","name":"Assessing Digital Twin Maturity in Disaster Risk Reduction: A Scoping Review and Analytical Framework for Smart Urban Resilience","source":"crossref","abstract":"Digital twin (DT) technology is increasingly being integrated into smart city systems for disaster risk reduction and urban resilience, yet its implementation maturity remains insufficiently understood. This study conducts a systematic literature review to examine DT applications in disaster risk reduction within data-driven urban environments, assess their maturity, and evaluate alignment with urban resilience theory and smart governance objectives. A dual-lens analytical framework is developed to map DT applications across disaster types, urban domains, methodological approaches, and enabling technologies, including real-time urban sensing infrastructures. The framework evaluates DT maturity across five dimensions: convergence, capability, integrated view, time, and trustworthiness. Findings indicate that DT systems in smart city contexts are generally at an intermediate stage of maturity. Convergence is partial, with systems connected to urban digital infrastructures but not yet fully integrated into interoperable city-wide platforms. Capability is mainly focused on predictive analytics and monitoring, while autonomous and collaborative functions remain limited. Temporal maturity is moderate, with growing use of streaming data but limited real-time synchronisation. The integrated view dimension is relatively advanced, supporting multi-layered urban representation and decision-making, while trustworthiness remains constrained by limited validation, explainability, and adaptive security mechanisms.","url":"https://doi.org/10.2139/ssrn.7042441","authors":["Kimia Chenary","Tan Yigitcanlar","Alessio Russo","Thomas W. Sanchez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T16:38:36Z","doi":"10.2139/ssrn.7042441","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4337/9781035364282.00018","name":"Transition towards sustainability: a case study of the Polish energy sector","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035364282.00018","authors":["Bartosz Sobik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T20:59:16Z","doi":"10.4337/9781035364282.00018","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.34685/hi.2026.75.89.006","name":"ЦИФРОВОЙ ДВОЙНИК КАК ОБЪЕКТ ОХРАНЫ УТРАЧЕННОГО НАСЛЕДИЯ","source":"crossref","abstract":"Статья посвящена музеологической проблеме определения онтологического и правового статуса цифровой учетной записи в условиях необратимой утраты или недоступности материального носителя. Исследование актуализировано спецификой распределенного и диаспорального наследия, для которого характерны дефицит институционального контроля, фрагментация фондов и разрыв провенанса. Цель работы заключается в концептуализации цифрового двойника не как вторичной репрезентации («копии»), а как «контейнера ответственности» – самостоятельной единицы охраны, способной операционализировать и заместить физический предмет в поле профессиональной этики. Методологическую основу составил синтез функционально-институционального подхода с анализом международных стандартов цифрового сохранения (OAIS) и протоколов метаданных (PREMIS, PROV). Обосновывается отказ от технологического понимания двойника в пользу рассмотрения его как связанного комплекса слоев: описательного, доказательного, процедурного и правового. Показано, что при исчезновении вещи «поток данных» переносится в социально-процедурную плоскость, где ключевыми механизмами легитимации знания становятся цифровой провенанс (история происхождения сведений) и лог действий (журнал изменений). Аргументируется, что история правок является формой институциональной памяти, делающей ответственность наблюдаемой, а режимы доступа (права) входят в онтологию объекта, конституируя его границы. В результате исследования сформулирован музейно-нормативный минимум функциональных требований к структуре данных, необходимый для сохранения доказательности и управляемости наследия в цифровой среде. Сделан вывод, что цифровой двойник выступает новым типом музейного обязательства и обеспечивает проверяемость знания об утраченном артефакте. The article addresses a museological problem: how to define the ontological and legal status of a digital catalog record in cases of irreversible loss or inaccessibility of the material carrier. The study is motivated by the specific conditions of distributed and diasporic heritage, which are marked by limited institutional oversight, fragmented holdings, and broken provenance. Its aim is to conceptualize the digital similar not as a secondary representation or mere “copy,” but as a “container of responsibility”—an autonomous unit of preservation capable of operationalizing, and under certain conditions functionally substituting for, the physical object within the sphere of professional ethics. Methodologically, the article combines a functional-institutional approach with an analysis of international digital preservation standards (OAIS) and metadata protocols (PREMIS, PROV). It argues against a narrowly technological understanding of the digital twin and instead treats it as an integrated structure composed of descriptive, evidentiary, procedural, and legal layers. The article shows that when the material object disappears, the “data stream” shifts into a socio-procedural domain in which digital provenance—the documented history of how information was generated—and the action log become the principal mechanisms for legitimizing knowledge. It further argues that revision history functions as a form of institutional memory that renders responsibility observable, while access regimes and rights belong to the object’s very ontology by constituting its operative boundaries. On this basis, the study formulates a museum-normative minimum of functional requirements for data architecture necessary to preserve evidentiary integrity and ensure the governability of heritage in digital environments. It concludes that the digital twin constitutes a new form of museum obligation and secures the verifiability of knowledge about a lost artifact.","url":"https://doi.org/10.34685/hi.2026.75.89.006","authors":["А.В. Молодин"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T20:19:52Z","doi":"10.34685/hi.2026.75.89.006","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.12688/digitaltwin.17549.1","name":"A review of the technology standards for enabling digital twin","source":"crossref","abstract":"In the process of developing digital twin enabling applications, a lack of reference to standards related to digital twin terms, architecture and models leads to differences between users' understanding of digital twin, and it is difficult to realize the interconnection of data, models, and services between different enterprises or fields. Therefore, digital twin, by its nature of interoperability between multiple domains, requires standardization as a pilot tool for implementation. This paper provides the background and introduction of digital twin technology based on the digital twin five-dimension model, then refers to the latest developments of digital twin standardization. We further analyze the challenges and provide suggestions of future digital twin standardization. The analysis of the standards landscape for digital twin consolidates information from governing bodies such as the International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), International Telecommunication Union (ITU), and Institute of Electrical and Electronics Engineers (IEEE)","url":"https://doi.org/10.12688/digitaltwin.17549.1","authors":["Kai Wang","Yamin Wang","Yizheng Li","Xiaohui Fan","Shanpeng Xiao","Lin Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-28T12:35:12Z","doi":"10.12688/digitaltwin.17549.1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.64917/ircee.v13.i05.a03","name":"Next-Generation Urban Intelligence Models: Comprehensive Analysis Of Digital Twin Systems For Sustainable Smart Cities And Adaptive Human–Machine Collaboration","source":"crossref","abstract":"The rapid expansion of urban populations, increasing infrastructure complexity, and the growing dependence on interconnected cyber-physical systems have intensified the demand for intelligent urban management frameworks. Digital twin technology has emerged as a transformative paradigm for enabling real-time synchronization between physical and virtual urban environments. This research investigates next-generation urban intelligence models through a comprehensive analysis of digital twin systems for sustainable smart cities and adaptive human–machine collaboration. The study critically evaluates the evolution of digital twin architectures, semantic urban modeling, predictive analytics, human–robot collaboration frameworks, and data-driven infrastructure optimization mechanisms. The research synthesizes theoretical and technological perspectives from existing studies related to smart city digital twins, urban simulation, intelligent manufacturing, predictive maintenance, and collaborative cyber-physical systems. A multilayer urban intelligence framework is proposed that integrates sensing infrastructures, semantic data fusion, adaptive analytics, collaborative decision engines, and immersive human–machine interfaces. The study further examines the role of artificial intelligence, edge intelligence, augmented reality interfaces, and real-time data synchronization in enhancing urban resilience, operational sustainability, and citizen-centric services. Findings demonstrate that integrated digital twin ecosystems significantly improve urban adaptability, infrastructure monitoring, disaster management, resource allocation, and collaborative automation. However, interoperability constraints, cybersecurity vulnerabilities, data governance limitations, and computational scalability remain critical challenges affecting large-scale implementation. The paper contributes to the advancement of digital twin research by presenting a unified analytical framework that connects sustainable smart city management with adaptive human–machine collaboration and intelligent infrastructure orchestration.","url":"https://doi.org/10.64917/ircee.v13.i05.a03","authors":["Dr. Arman Petrosyan","Dr. Lilit Hakobyan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T13:48:48Z","doi":"10.64917/ircee.v13.i05.a03","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1080/17445760.2024.2398082","name":"Priority based inter-twin communication in vehicular digital twin networks","source":"crossref","abstract":"","url":"https://doi.org/10.1080/17445760.2024.2398082","authors":["Qasim Zia","Chenyu Wang","Saide Zhu","Yingshu Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-02T23:55:17Z","doi":"10.1080/17445760.2024.2398082","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.4836502","name":"Digital Transformation of Industrial Businesses: The Role of Digital Twin, Digital Thread and Digital Mindset as Enablers of Digital Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4836502","authors":["Swapan Ghosh","Mathew Hughes","Paul Hughes","Ian Hodgkinson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-21T16:18:39Z","doi":"10.2139/ssrn.4836502","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/tpel.2025.3628752","name":"A Digital Twin-Based Stability Monitoring and Parameter Estimation Framework for Three-Phase Grid-Connected Photovoltaic Inverters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tpel.2025.3628752","authors":["Rituvic Pandey","Nishant Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-04T18:37:13Z","doi":"10.1109/tpel.2025.3628752","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-031-22140-8_2","name":"A Digital Twin Development Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-22140-8_2","authors":["Jairo Viola","YangQuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-13T12:05:40Z","doi":"10.1007/978-3-031-22140-8_2","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394303601.ch21","name":"Digital Twin‐Enabled Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303601.ch21","authors":["M. Maranco","M. Sivakumar","N. Krishnaraj","Kashyapa Abhiram Ivaturi","R. Nidhya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-13T21:20:12Z","doi":"10.1002/9781394303601.ch21","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1201/9781003469612-4","name":"Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-4","authors":["S. Dinesh Krishnan","K. V. Mahalakshmi","Dyagala Naga Sudha","V. Sathya Priya","A. Daniel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-031-21343-4_11","name":"Hybrid Twin: An Intimate Alliance of Knowledge and Data","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_11","authors":["Francisco Chinesta","Fouad El Khaldi","Elias Cueto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_11","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394411337.ch10","name":"Role of AI and Digital Twin in Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch10","authors":["Harashleen KOUR","Shubham GUPTA","Osamah Ibrahim KHALAF"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch10","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.55248/gengpi.07.0526.d13256","name":"A Hybrid AI Approach for Predictive Maintenance in Manufacturing Using Machine Learning and Digital Twin-Based Failure Forecasting","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.07.0526.d13256","authors":["Dr. Arvind Dagur","Shivanshu Singh","Tej Pratap Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-28T16:56:03Z","doi":"10.55248/gengpi.07.0526.d13256","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-031-21343-4_13","name":"A Graph-Based Cross-Vertical Digital Twin Platform for Complex Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_13","authors":["Thierry Coupaye","Sébastien Bolle","Sylvie Derrien","Pauline Folz","Pierre Meye","Gilles Privat","Philippe Raïpin-Parvedy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_13","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.5220/0008880903810386","name":"Reinforcement Learning of Robot Behavior based on a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0008880903810386","authors":["Tobias Hassel","Oliver Hofmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-03-13T12:54:47Z","doi":"10.5220/0008880903810386","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s10845-026-02878-4","name":"Digital twin-driven automatic docking monitoring for large-scale equipment final assembly","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-026-02878-4","authors":["Yue Zhao","Liang Chen","Haiwen Yu","Yu Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-06T13:13:21Z","doi":"10.1007/s10845-026-02878-4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4324/9781003437765-5","name":"Enabling the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003437765-5","authors":["Jason Pomeroy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-14T09:18:16Z","doi":"10.4324/9781003437765-5","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3390/en13205504","name":"Digital Twin for Operation of Microgrid: Optimal Scheduling in Virtual Space of Digital Twin","source":"crossref","abstract":"Due to the recent development of information and communication technology (ICT), various studies using real-time data are now being conducted. The microgrid research field is also evolving to enable intelligent operation of energy management through digitalization. Problems occur when operating the actual microgrid, causing issues such as difficulty in decision making and system abnormalities. Using digital twin technology, which is one of the technologies representing the fourth industrial revolution, it is possible to overcome these problems by changing the microgrid configuration and operating algorithms of virtual space in various ways and testing them in real time. In this study, we proposed an energy storage system (ESS) operation scheduling model to be applied to virtual space when constructing a microgrid using digital twin technology. An ESS optimal charging/discharging scheduling was established to minimize electricity bills and was implemented using supervised learning techniques such as the decision tree, NARX, and MARS models instead of existing optimization techniques. NARX and decision trees are machine learning techniques. MARS is a nonparametric regression model, and its application has been increasing. Its performance was analyzed by deriving performance evaluation indicators for each model. Using the proposed model, it was found in a case study that the amount of electricity bill savings when operating the ESS is greater than that incurred in the actual ESS operation. The suitability of the model was evaluated by a comparative analysis with the optimization-based ESS charging/discharging scheduling pattern.","url":"https://doi.org/10.3390/en13205504","authors":["Hyang-A Park","Gilsung Byeon","Wanbin Son","Hyung-Chul Jo","Jongyul Kim","Sungshin Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-20T20:50:07Z","doi":"10.3390/en13205504","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.5234969","name":"Research on Digital Transformation of Customer Relationship Management of Logistics Enterprises Enabled by Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5234969","authors":["Limin Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-29T07:43:52Z","doi":"10.2139/ssrn.5234969","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.trpro.2026.02.024","name":"Flexible maintenance in aircraft rotation models: a modular component of the digital airline twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2026.02.024","authors":["Sarah Albrecht","Milena Röhrs","Thorsten Ehlers","Klaus Lütjens"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-17T17:25:19Z","doi":"10.1016/j.trpro.2026.02.024","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/infocom59046.2026.11571316","name":"A digital-twin based alert system for guided teleoperated driving under network delays","source":"crossref","abstract":"","url":"https://doi.org/10.1109/infocom59046.2026.11571316","authors":["Mariam Nour","Sergei S. Avedisov","Mohammad Irfan Khan","Takayuki Shimizu","Onur Altintas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T19:38:15Z","doi":"10.1109/infocom59046.2026.11571316","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2320/matertrans.mt-ma2026013","name":"A Digital Twin–Based Decision-Support Framework for Milling Processes","source":"crossref","abstract":"","url":"https://doi.org/10.2320/matertrans.mt-ma2026013","authors":["Cheng-Chi Chiang","Yi-Chi Wang","Ta-Jen Peng","Guan-Wei Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T22:09:48Z","doi":"10.2320/matertrans.mt-ma2026013","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3724/j.slxb.20250650","name":"A multi-level digital twin data augmented method for rolling bearing fault diagnosis","source":"crossref","abstract":"","url":"https://doi.org/10.3724/j.slxb.20250650","authors":["Zixu CHEN","Jiahui QI","Weijun ZHANG","Wennian YU","Junjie ZOU"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T07:19:03Z","doi":"10.3724/j.slxb.20250650","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.22161/ijcmes.12.4.1","name":"A Lightweight Digital Twin Framework for Structural Dynamic Model Updating Using Natural Frequencies and Mode Shapes","source":"crossref","abstract":"Digital twins require numerical models that can be reconciled repeatedly with the changing dynamic behaviour of physical structures. Conventional finite element model updating, however, often depends on repeated eigensolutions, finite-difference gradients, or large stochastic sample sets, which limits its suitability for frequent execution on resource-constrained hardware. This study presents a lightweight digital-twin framework for structural dynamic model updating using measured natural frequencies and mode shapes. The method reduces computational demand through three coordinated measures. Candidate parameters are first screened using normalized modal sensitivities so that weakly influential and poorly identifiable variables are excluded before inversion. Eigenvalue derivatives are then evaluated analytically, while eigenvector derivatives are obtained through Nelson’s method, avoiding the repeated perturbed eigensolutions required by finite-difference schemes. A regularized Levenberg–Marquardt procedure updates the retained parameters, and a sparse polynomial surrogate is available when direct eigensolutions remain costly. Spatially incomplete mode shapes are reconciled through the System Equivalent Reduction–Expansion Process, and modal correspondence is enforced using the Modal Assurance Criterion. The framework is verified on a cantilever beam with localized stiffness changes and a planar truss with uncertain member and support stiffnesses. In both cases, the prescribed parameters are recovered within six to seven iterations, final natural-frequency errors fall below 10⁻³%, and the updated mode shapes achieve MAC values of 1.000 under noise-free conditions. Monte Carlo simulations with modal noise levels up to 3% show stable estimation, with median mean-frequency errors remaining below the imposed noise level. Computational benchmarking further shows that the analytical formulation requires six eigensolutions, compared with thirty for finite-difference updating and 15,001 forward evaluations for the MCMC reference. These results demonstrate that accurate modal reconciliation can be achieved without repeated parameter-wise eigensolutions or extensive stochastic sampling. The proposed framework therefore provides a computationally compact basis for repeated structural model updating, although experimental validation and implementation on embedded edge hardware remain necessary before operational deployment.","url":"https://doi.org/10.22161/ijcmes.12.4.1","authors":["Sultan Mahamdnur Ibrahim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T10:13:16Z","doi":"10.22161/ijcmes.12.4.1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.62678/ijics202603.10296","name":"A Deployable Digital Twin System for Precision Irrigation Management via Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.62678/ijics202603.10296","authors":["Jiamei Liu","Fangle Chang","Longhua Ma","Hongye Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-13T08:20:27Z","doi":"10.62678/ijics202603.10296","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.est.2026.123020","name":"Physics-informed hybrid digital twin for electric aircraft battery state of function: A probabilistic mission success approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.est.2026.123020","authors":["Mustafa Keçeci","Hakan Oktal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T09:23:49Z","doi":"10.1016/j.est.2026.123020","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/eespe68405.2026.11649283","name":"Research on Digital Twin Model of Intelligent Grid Operation Management Based on Multi Source Heterogeneous Process Data Fusion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eespe68405.2026.11649283","authors":["Jiang Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T19:11:59Z","doi":"10.1109/eespe68405.2026.11649283","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-032-07694-6_7","name":"Towards Digital Twin of RF Ablation: Real-Time Prediction of Time-Dependent Thermal Effects Using Transformer","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-07694-6_7","authors":["Seonaeng Cho","Minjee Seo","Minwoo Shin","Kyungho Yoon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T18:04:55Z","doi":"10.1007/978-3-032-07694-6_7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.47330/cbc.2021.jvck7285","name":"Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2021.jvck7285","authors":["Jens Hunhevicz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-22T05:02:57Z","doi":"10.47330/cbc.2021.jvck7285","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.51903/5fkqb467","name":"Application of Digital Twin Technology for Real-Time Monitoring and Predictive Maintenance of Coastal Bridges under Climate Change Scenarios","source":"crossref","abstract":"Coastal bridges are increasingly vulnerable to structural degradation due to extreme environmental conditions and the accelerating impacts of climate change. Traditional inspection methods are no longer sufficient to provide early detection or preventive maintenance. This study proposes developing a digital twin system that integrates real-time sensor data and machine learning algorithms to monitor and predict the structural conditions of coastal bridges. Data from environmental (humidity, temperature, salinity) and structural (strain, displacement) sensors were collected at a case-study bridge in Semarang, Indonesia. The system employed a Long Short-Term Memory (LSTM) model to forecast stress anomalies and potential damage, achieving high accuracy with a Mean Absolute Percentage Error (MAPE) below 5%. The digital twin interface visualizes risk zones and enables early warning with an average lead time of 5–7 days. Field validations showed a 97.5% match between system predictions and manual inspections. This research contributes a replicable, scalable framework for adaptive infrastructure management that enhances maintenance decision-making and resilience to climate-induced deterioration in coastal regions.","url":"https://doi.org/10.51903/5fkqb467","authors":["M. Syafril Imam Siddiq Arief R","Jackques Donal Pangaribuan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-01T19:26:32Z","doi":"10.51903/5fkqb467","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/host68814.2026.11604674","name":"TwinAttest: A Digital Twin-Driven Attestation Framework for Programmable Logic Controllers in Industrial Internet of Things","source":"crossref","abstract":"","url":"https://doi.org/10.1109/host68814.2026.11604674","authors":["Syed Owais Athar","Muhammad Naveed Aman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T20:02:14Z","doi":"10.1109/host68814.2026.11604674","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/codit70676.2026.11630754","name":"Digital Twin-Enabled Hybrid HVAC Control for Enhanced Energy Efficiency – HESTIA concept","source":"crossref","abstract":"","url":"https://doi.org/10.1109/codit70676.2026.11630754","authors":["Mihail Bogdan Carutasiu","Teodor Lupoiu","Horia Necula","Vlad Florin Paraianu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T19:21:17Z","doi":"10.1109/codit70676.2026.11630754","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-981-97-8483-7_4","name":"Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-8483-7_4","authors":["Houman Zarrabi","M. R. Doost Mohammadian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T21:32:21Z","doi":"10.1007/978-981-97-8483-7_4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.jmsy.2024.05.012","name":"Extending the Digital Twin Ecosystem: A real-time Digital Twin of a LinuxCNC-controlled subtractive manufacturing machine","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.05.012","authors":["Minas Pantelidakis","Konstantinos Mykoniatis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-27T11:15:09Z","doi":"10.1016/j.jmsy.2024.05.012","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-031-21343-4_29","name":"Digital-Age Construction – Manufacturing Convergence","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_29","authors":["Sir John Egan","Neculai C. Tutos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_29","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.net.2026.104153","name":"Review on digital twin applications in medical particle accelerators","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.net.2026.104153","authors":["Alvin Kambondo","Jie Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-21T16:05:00Z","doi":"10.1016/j.net.2026.104153","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s44150-026-00211-4","name":"Barriers to cost estimation performance of digital twin–internet of things implementation in construction","source":"crossref","abstract":"Abstract The effects of accurately estimating the cost of construction projects are widespread, as they facilitate the delivery of projects on time and within budget and shape the global economy. Digital Twin and Internet of Things (DT-IoT) systems are widely promoted as tools for enhancing construction cost estimation performance (CEP); however, empirical evidence regarding the major barriers to implementing them and their impact on CEP is limited. This study addressed that gap by developing a survey and administering it to 135 construction professionals to tap into their experience with the barriers to implementing DT-IoT and how, when successfully employed, the systems impact the CEP. The responses were analyzed, and the reliability of the barrier construct was deemed acceptable (Cronbach’s alpha = 0.835). The mean score ranking, Spearman correlation, and Ordinal Logistic Regression (OLR) were used to evaluate the intensity of each barrier, co-occurrence patterns, and associations with CEP levels, and the results showed that resistance to change and technical limitations were the biggest barriers. A correlation analysis indicated strong co-occurrence among barriers, particularly between lack of team spirit and resistance to change, and between lack of a clear roadmap and inadequate interdepartmental communication. The OLR model showed strong explanatory performance (Nagelkerke R² = 0.599) and identified significant effects related to planning, communication, funding, cooperation, and stakeholder alignment, with significant interaction effects indicating compounded barrier conditions. These findings provide empirical evidence on perceived associations between DT-IoT implementation barriers and CEP and offer project managers and professionals an evidence-informed basis for prioritizing implementation strategies that may support more reliable and accurate construction cost estimation practices.","url":"https://doi.org/10.1007/s44150-026-00211-4","authors":["Mohammadamin Zohourian","Apurva Pamidimukkala","Sharareh Kermanshachi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-15T05:35:57Z","doi":"10.1007/s44150-026-00211-4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1017/thg.2026.10071","name":"Twins and Look-Alikes: Perspectives on Human Reproductive Cloning/Twin Research Reviews: Infantile Pyknocytosis in a Dizygotic Twin; MZ Twin Discordance for Hemimicrencephaly; Unusual Dental Development, with Expert Commentary; Twin Study of ‘Gaze Fingerprint Signatures’/Human Interest: Identical Twin Executives at Odds; Loss of Identical Twin, Jim Whittaker; Identical Twin Artists; Twin Wisdom Captured in Stone","source":"crossref","abstract":"Abstract Twin research informs our thinking about possible human reproductive cloning (HRC). Other human models for assessing the benefits and difficulties of HRC are look-alike parent-child and sibling pairs. An in-depth interview with an extraordinary mother-daughter pair is provided. This section is followed by reviews of research on infantile pyknocytosis in a dizygotic (DZ) twin, monozygotic (MZ) twin discordance for hemimicrencephaly, unusual dental development in a twin, and ‘gaze fingerprint signatures’. The final section presents human interest stories of identical twin executives at odds, the loss of identical twin Jim Whittaker, identical twin artists, and twin wisdom captured in stone.","url":"https://doi.org/10.1017/thg.2026.10071","authors":["Nancy L. Segal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T07:15:26Z","doi":"10.1017/thg.2026.10071","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/b978-0-443-28884-5.00001-4","name":"Digital twin technology fundamentals","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-28884-5.00001-4","authors":["Chakkrapong Chaiburi","Bancha Yingngam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T08:06:21Z","doi":"10.1016/b978-0-443-28884-5.00001-4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1515/9783111327853-204","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-204","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-204","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3724/j.slxb.20260033","name":"Digital twin hydrosphere： theoretical connotations， a foundational model and key technologies","source":"openalex","abstract":"针对传统水循环模拟与调控难以应对跨气候带、跨圈层、多过程的系统性挑战，且无法支撑大规模国家水网系统指挥调度决策，提出了以水圈模拟器为愿景的数字孪生水圈。本文明确了数字孪生水圈的定义及其与数字孪生流域、数字孪生水网和数字孪生水利工程的关系定位；从本体论、认识论、方法论、价值论四个维度解析了其内涵，归纳出全要素融合与三维共生、全局认知与协同智能、前瞻推演与自适应决策、知识沉淀与持续进化等本质特征；构建了由信息模型与系统模型组成的基础模型，分析了其核心能力、科技难题与关键技术突破方向，并探讨了赋能路径。研究表明，数字孪生水圈可显著提升多尺度“自然-社会”二元水循环的系统认知、情景推演与风险防控能力，可为水系统治理从“经验驱动”向“数据与模型双驱动”的范式转型提供理论依据与技术路径。","url":"https://doi.org/10.3724/j.slxb.20260033","authors":["Yuntao YE","Yunzhong JIANG","Hao WANG","Yong ZHAO","Ying WANG","Lili LIANG","Yunzhong Jiang"],"tags":["Key (lock)","Computer science","Systems engineering","Engineering","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"10.3724/j.slxb.20260033","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/raeeucci67649.2026.11504921","name":"A Privacy-Preserving Self-Adaptive Federated Intrusion Detection Framework for Digital Twin Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/raeeucci67649.2026.11504921","authors":["Sakthi Maheswari B","Deepa M"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T19:38:16Z","doi":"10.1109/raeeucci67649.2026.11504921","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.35490/ec3.2026.315","name":"Digital Twin Value Creation as a Dynamic System: A Causal Loop Diagram Approach","source":"crossref","abstract":"","url":"https://doi.org/10.35490/ec3.2026.315","authors":["Omar Hussein Abbas","Nicola Moretti","Tim Broyd"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-10T11:55:47Z","doi":"10.35490/ec3.2026.315","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-3-030-02203-7","name":"Twin-Control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-02203-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/iict68374.2026.11468579","name":"Barriers and Enablers of Digital Twin Adoption for Sustainable Construction: A Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iict68374.2026.11468579","authors":["Muhammad Ahsan Soomro","AbdulLateef Olanrewaju","Shalini Sanmargaraja"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:22:29Z","doi":"10.1109/iict68374.2026.11468579","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1117/12.3118777","name":"Visualization system for predicting basement leakage risks based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3118777","authors":["Dongrong Guo","Zhihong Zhong","Xu Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T16:05:51Z","doi":"10.1117/12.3118777","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1186/s43168-026-00648-7","name":"Digital twin frameworks for smoking and nicotine dependence: toward predictive and personalised smoking cessation","source":"crossref","abstract":"Abstract Despite decades of public health interventions, tobacco use remains one of the leading preventable causes of disease worldwide. While cessation programmes and pharmacotherapies have improved outcomes, relapse rates remain high because nicotine addiction is dynamic, context-dependent, and strongly modulated by individual physiology, psychology, and social environment. Digital twin technology is an adaptive computational model that continuously mirrors the state of a real person, thus offering a new approach to understand, predict, and manage smoking behaviour and its health consequences. By integrating physiological, behavioural, environmental, and molecular data, digital twins could provide real-time insight into craving cycles, stress triggers, and therapeutic response. This article proposes a conceptual framework for constructing digital twins for smokers, discusses potential applications in prevention, cessation, and harm reduction, and highlights ethical and technical challenges. The approach could transform smoking cessation from a reactive, population-based model to a proactive, personalised, and data-driven process.","url":"https://doi.org/10.1186/s43168-026-00648-7","authors":["Ruqaiyyah Siddiqui","Naveed Ahmed Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T03:36:29Z","doi":"10.1186/s43168-026-00648-7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1201/9781003425724-57","name":"Applications of Triboelectric Nanogenerator in Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-57","authors":["Jiayue Zhang","Jie Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-57","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.aei.2026.104814","name":"Digital twin-based synchronous 4D BIM-driven UAS mission planning using the combined graph approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2026.104814","authors":["Parth Bhadaniya","Masoud Gheisari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-16T09:13:44Z","doi":"10.1016/j.aei.2026.104814","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.7148/2026-0277","name":"Automated formalization of expert knowledge for data-knowledge-fused digital twin model extraction using pre-trained language models","source":"crossref","abstract":"Integrating expert knowledge into Digital Twin model extraction remains an open challenge. Although expert knowledge can enhance model robustness and contextual validity, it is typically expressed in unstructured natural language, leading to ambiguity, heterogeneity, and limited operationalizability. Consequently, systematic and automated formalization mechanisms are required to enable effective fusion of expert knowledge with data for extracting data-knowledge-fused Digital Twin models. To address this gap, we propose an automated approach for formalizing expert knowledge expressed in natural language. We evaluate two formalization approaches using twelve publicly available pre-trained language models under a set of explicitly defined constraints. Based on the empirical evaluation, encoder-decoder language models emerge as the most suitable candidates, as they demonstrate the strongest overall performance within the considered evaluation setting. We further illustrate the role of the proposed approach within data-knowledge-fused Digital Twin model extraction through a reliability case study. The proposed approach reduces effort required for integrating expert knowledge and supports automated model extraction.","url":"https://doi.org/10.7148/2026-0277","authors":["Michelle Jungmann","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-30T08:36:46Z","doi":"10.7148/2026-0277","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1515/9783111327853-fm","name":"Frontmatter","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-fm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-fm","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.36652/0869-4931-2020-74-9-394-402","name":"Digital twin of equipment as a basis for the consumer in digital production","source":"crossref","abstract":"The neural network models series used in the development of an aggregated digital twin of equipment as a cyber-physical system are presented. The twins of machining accuracy, chip formation and tool wear are examined in detail. On their basis, systems for stabilization of the chip formation process during cutting and diagnose of the cutting too wear are developed. Keywords cyberphysical system; neural network model of equipment; big data, digital twin of the chip formation; digital twin of the tool wear; digital twin of nanostructured coating choice","url":"https://doi.org/10.36652/0869-4931-2020-74-9-394-402","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-10-27T07:16:39Z","doi":"10.36652/0869-4931-2020-74-9-394-402","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.dte.2026.100094","name":"Digital twin virtual-real mapping method for the S-bend of a scraper in a fully mechanized mining face considering pullback error","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2026.100094","authors":["Wenbin He","Yongsheng Shi","Haoqi Wang","Hao Li","Xingfu Zhang","Yongqiang Wang","Feifan Wang","Kefei Cui","Tao Chen","Guowei Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T00:35:19Z","doi":"10.1016/j.dte.2026.100094","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.31586/wjcea.2026.6596","name":"Coordinated Digital-Twin and Reinforcement Learning Control for Network-Scale Water Distribution: Model, Simulation Evidence, and Deployment Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.31586/wjcea.2026.6596","authors":["Konstantin Korviakov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T08:42:42Z","doi":"10.31586/wjcea.2026.6596","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.jocs.2026.102982","name":"Digital twin modeling with artificial intelligence for reliable structural health monitoring of sustainable smart infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jocs.2026.102982","authors":["Ankush Manocha","Munish Bhatia","Gaganpreet Kaur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-25T15:27:41Z","doi":"10.1016/j.jocs.2026.102982","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s43393-026-00454-8","name":"Opportunities of digital twin in controlling and monitoring microbial processes in food fermentation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s43393-026-00454-8","authors":["Krati Shukla","Sharon Nagpal","Ashish Vyas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T07:00:10Z","doi":"10.1007/s43393-026-00454-8","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/isccn69074.2026.11564466","name":"A Building Decoration Progress Monitoring Method Integrating Computer Vision and Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isccn69074.2026.11564466","authors":["Jingran Lin","Shiquan Guan","Canxin Zhao","Zhenyi Zhong","Yue Chang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-22T19:52:40Z","doi":"10.1109/isccn69074.2026.11564466","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/icesep70386.2026.11607837","name":"Data-Driven Optimization of Digital Twin Evaluation Models for Power Grid Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icesep70386.2026.11607837","authors":["Fei Ren","Xiaomeng Di","Qiang Jia","Zeyu Liu","Zhi Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T19:14:28Z","doi":"10.1109/icesep70386.2026.11607837","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/uvs66989.2026.11449887","name":"Machine Learning-Based Fault Classification for KPCA Digital Twin Model Predictive Control in Autonomous Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uvs66989.2026.11449887","authors":["Romdhane Nasri","Majdi Mansouri","Zouhaier Affi","Vicenc Puig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-26T19:48:29Z","doi":"10.1109/uvs66989.2026.11449887","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/icc59461.2026.11587471","name":"Uplink Radio Resource Block and Power Coordination in Open RAN-Digital Twin-Integrated Multi-Cell Internet of Drone Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc59461.2026.11587471","authors":["Mohamed Elloumi","Md. Zoheb Hassan","Georges Kaddoum"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T19:38:09Z","doi":"10.1109/icc59461.2026.11587471","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1108/bepam-07-2025-0206","name":"A bibliometric review of digital twin-enabled technologies for construction project monitoring and control","source":"openalex","abstract":"Purpose Construction projects often suffer from delays, cost overruns, and fragmented control due to isolated implementation of Computer Vision (CV), Internet of Things (IoT), Building Information Modelling (BIM), and Machine Learning (ML). This study addresses this gap by proposing a comprehensive Digital Twin framework that integrates these technologies into a unified system for real-time monitoring and predictive control of labor, material, equipment, and activity (LMPA). Design/methodology/approach A four-phase bibliometric approach was followed: (1) retrieving 2,032 studies (2014–2024) from the search database; (2) screening through multi-level filtering to retain 534 relevant papers; (3) network analysis and mapping keywords in Gephi and forming thematic clusters using the Louvain algorithm; and (4) identifying the research gap of fragmented CV, IoT, BIM, and ML applications and developing a Digital Twin framework for real-time LMPA control. Findings Nineteen functional clusters were identified across the four domains: CV (Visual Understanding, Edge Hardware, Metrics, LMPA Algorithms, Analytics), IoT (Sensors, Transmission, Edge Devices, Signal Processing, Dashboards), BIM (Foundations, 4D/5D Control, Progress Tracking, As-Built Alignment), and ML (Data Preparation, Model Training, Forecasting, Optimization, Real-Time Feedback). These form a Digital Twin framework for real-time, closed-loop project monitoring and control. Originality/value Unlike prior reviews focusing on single technologies or static visualisation, this study integrates CV, IoT, BIM, and ML into a single, evidence-based Digital Twin framework tailored to closed-loop LMPA control.","url":"https://doi.org/10.1108/bepam-07-2025-0206","authors":["Hemanth Kumar N","S.P. Sreenivas Padala","Hemanth Kumar N.","Srinivas Padala"],"tags":["Computer science","Control (management)","Data science","The Internet","Monitoring and control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"10.1108/bepam-07-2025-0206","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1016/j.comcom.2026.108481","name":"FALCON: Fanet-Aware Learning and digital twin CONtrol framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.comcom.2026.108481","authors":["Andrea Caruso","Christian Grasso","Raoul Raftopoulos","Giovanni Schembra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-06T07:24:03Z","doi":"10.1016/j.comcom.2026.108481","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.ress.2025.111496","name":"Maintenance planning using a digital twin: principles and case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ress.2025.111496","authors":["Richard Dwight","Wenxu Li","Frits van Rooij","Phil Scarf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-25T15:57:42Z","doi":"10.1016/j.ress.2025.111496","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.autcon.2025.106706","name":"Data-informed Digital Twin for large-scale 3D printing in construction","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.autcon.2025.106706","authors":["Lior Skoury","Ofer Asaf","Aaron Sprecher","Achim Menges","Thomas Wortmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T11:30:08Z","doi":"10.1016/j.autcon.2025.106706","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.measurement.2026.121892","name":"Digital twin-based multi-parameter cooperative assembly for thermal protection systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measurement.2026.121892","authors":["Tailong Cao","Xiang Huang","Shuanggao Li","Guoyi Hou","Jiaming Shi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-16T00:23:59Z","doi":"10.1016/j.measurement.2026.121892","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1088/1742-6596/3224/6/062008","name":"Wind Turbine Aero-servo-elastic Digital Twin Models Based on Minimal Data","source":"crossref","abstract":"Abstract In this paper, we present a framework for developing a comprehensive wind turbine digital twin model based on the use of minimal datasets where data availability is limited. The model is comprehensive in that it encompasses a complete turbine model (in OpenFAST format) with a focus on three key aspects of the various subsystems of a turbine: rotor aerodynamics, structural dynamics, and the turbine baseline controller. Of the four aerodynamic modelling approaches considered in this study, the most effective method was shown to be using both power curve and coefficient of thrust data to calibrate the modelled turbine blade’s chord, twist, coefficient of lift, and coefficient of drag distributions. This method ensures that the aerodynamic model accurately predicts how loads are transferred to the turbine in terms of both torque loading (for accurate prediction of power production) and thrust loading (for accurate transfer to mechanical loads to the turbine major components). For the blade structural model, blade mass and CG data are adequate for accurate blade spanwise mass properties, while a few blade frequencies can be used to accurately estimate blade spanwise stiffness. The presented results demonstrate that accurate and useful models can be created for individual turbines based on limited data.","url":"https://doi.org/10.1088/1742-6596/3224/6/062008","authors":["Liliana C. Haus","D. Todd Griffith"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-28T14:12:14Z","doi":"10.1088/1742-6596/3224/6/062008","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.aei.2025.103969","name":"A digital twin-based framework for predictive quality assurance and supply chain resilience in the automotive industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2025.103969","authors":["Yousef Amer","Amirhesam Soufali","Ashraf Zaghwan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T06:32:54Z","doi":"10.1016/j.aei.2025.103969","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-981-95-5915-2_15","name":"Digital Twins in Sustainable Agriculture in Precision Irrigation and Water Management: Challenges and Future Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-5915-2_15","authors":["Braj Kishor Prasad","Vivek Raj","Kanchan Kumari","Sunny Kumar","Shivansh Singh","Santosh Kumar Karn","Arun Lal Srivastav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T12:52:14Z","doi":"10.1007/978-981-95-5915-2_15","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4324/9781003437765-7","name":"Implementing the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003437765-7","authors":["Jason Pomeroy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-14T09:18:16Z","doi":"10.4324/9781003437765-7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.23919/eucap68105.2026.11612017","name":"Digital-Twin-Assisted Computation of Radar Cross Section from RF Heatmaps","source":"crossref","abstract":"","url":"https://doi.org/10.23919/eucap68105.2026.11612017","authors":["Camillo Gentile","Siraphop Saisa-ard","Jack Chuang","Steve Blandino","Samuel Berweger","Raied Caromi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-11T19:17:05Z","doi":"10.23919/eucap68105.2026.11612017","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.aei.2025.103981","name":"KPCA digital twin-enhanced real-time fault-tolerant control for autonomous vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2025.103981","authors":["Romdhane Nasri","Majdi Mansouri","Zouhaier Affi","Vicenc Puig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-19T17:00:53Z","doi":"10.1016/j.aei.2025.103981","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/tpec67884.2026.11513142","name":"Digital Twin of Grid-Connected Battery Storage System for Real-Time State-of-Charge Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tpec67884.2026.11513142","authors":["Namita Kumari","Mukesh Maurya","Ankush Sharma","Binh Tran","Damminda Alahakoon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T19:51:24Z","doi":"10.1109/tpec67884.2026.11513142","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/icsa-c68850.2026.00081","name":"Towards an LLM-Powered Expert System for AAS-Based Product Digital Twin Development","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsa-c68850.2026.00081","authors":["Quang-Duy Nguyen","Kunal Suri","Guéréguin Der Sylvestre Sidibe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T19:30:18Z","doi":"10.1109/icsa-c68850.2026.00081","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-981-96-8516-5_20","name":"Two Compatible Techniques for Digitally Replicating Assets: Digital Twin and the Digital Thread","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-8516-5_20","authors":["Anupam Sharma","Shivani Bajaj","Manish Yadav","Sagar Varshney","Ankit Saxena"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-01T23:26:50Z","doi":"10.1007/978-981-96-8516-5_20","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.4751135","name":"Influence of Integrated Product Lifecycle Management (Plm) System on Digital Innovation: Roles of the Digital Twin, Digital Threads and Digital Mindset","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4751135","authors":["Swapan Ghosh","Dr. Shikha Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-07T08:23:08Z","doi":"10.2139/ssrn.4751135","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1515/9783111327853-012","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-012","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-012","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.46281/bjmsr.v11i2.2851","name":"EARLY FAULT SEVERITY PREDICTION IN DIGITAL-TWIN–ENABLED INDUSTRIAL SYSTEMS USING IMBALANCE-AWARE MACHINE LEARNING AND TEMPORAL FEATURE ENGINEERING","source":"crossref","abstract":"Continuous industrial telemetry in high dimensions generated by digital twin (DT) platforms offers opportunities for large-scale fault and predictive maintenance (PdM). However, the real-life applications of PdM remain very challenging. In this paper, we investigate the potential of early fault severity prediction using a five-year, hourly dataset of DT-derived data from January 2019 to January 2024. The data includes 38 variables, including measurements such as vibration, temperature, pressure, acoustic signals, operational load, maintenance and repair history, anomaly scores, fault probability estimates, and a multiclass fault diagnosis label of No Fault or Critical Fault. The research presented in this paper follows an end-to-end analytical approach, using a set of machine-learning classifiers, then optimizing them using class-weighted classifiers, probability calibration, and a cost-sensitive decision policy, all aligned with the strategic goals of PdM. The results of the experiments conducted in this research show that the baseline and temporally enhanced models achieve ≈0.69 accuracy. When class-weighted learning is introduced, it increases fault recall to 0.059 and macro-F1 to 0.451, while threshold optimization achieves perfect fault recall (1.00) with a corresponding fault F1-score of 0.468. The main findings of this work show that the joint effects of temporal modelling, imbalance-aware learning, and calibrated decision thresholds govern early severity prediction performance. Our research is expected to yield a reproducible, deployment-oriented framework that improves minority-class detection and enables effective maintenance decisions for DT-enabling Industry 4.0/5.0 applications.","url":"https://doi.org/10.46281/bjmsr.v11i2.2851","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-13T17:36:07Z","doi":"10.46281/bjmsr.v11i2.2851","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2514/1.i011841","name":"Semantic Factor-Space Architecture for Aerospace and Defense Digital Twin Systems","source":"crossref","abstract":"This paper introduces a semantic factor-space architecture for representing and analyzing complex aerospace systems. The approach organizes subsystem properties, behaviors, and operational dependencies into orthogonal semantic threads that provide a consistent structure across design stages and model fidelity levels. The resulting representation enables reasoning across subsystem models developed in different engineering disciplines, supporting impact tracing, constraint evaluation, and cross-domain consistency without requiring specialized modeling environments. A directed dependency graph complements the semantic thread structure and enables upstream, downstream, and iterative propagation of subsystem interactions using simulation identifiers, operational intervals, and component metadata. The framework supports both conceptual design analysis and operational system evaluation while allowing incremental refinement as subsystem models mature. The architecture can be implemented using standard relational database technologies and integrated with existing simulation workflows. By formalizing subsystem attributes and their dependencies within a unified structure, the approach supports digital twin integration, cross-domain verification, and systematic reasoning across interconnected engineering systems. Potential applications include early envelope assessment, propagation-based diagnostics, and integration with future AI-supported verification and autonomous system development.","url":"https://doi.org/10.2514/1.i011841","authors":["Natalia Gardberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T16:24:58Z","doi":"10.2514/1.i011841","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/ichi69079.2026.00262","name":"T2D-Med-DT: A Medication-Focused Digital Twin for Cardiovascular Risk Reduction in Patients with Type 2 Diabetes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichi69079.2026.00262","authors":["Huanmei Wu","Ben Gerber","Feifan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T19:12:04Z","doi":"10.1109/ichi69079.2026.00262","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.33313/390/258","name":"Uncertainty Test of the Digital Twin for a Micro-Mill Caster","source":"crossref","abstract":"","url":"https://doi.org/10.33313/390/258","authors":["Z. Liu","Z. Liu","P. Pistorius","B. Webler","P. Pistorius","B. Webler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T20:22:08Z","doi":"10.33313/390/258","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/ccnc65079.2026.11366535","name":"Assessing the Impact of Cybersecurity Attacks on Digital Twin Metrics: An Experimental Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc65079.2026.11366535","authors":["Marco Picone","Erwan Bouquillon","Marcello Pietri","Marco Mamei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-04T20:45:15Z","doi":"10.1109/ccnc65079.2026.11366535","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.36348/gajeb.2026.v08i03.017","name":"Digital Twin-Enabled Monitoring for Deep Excavations in Mega Urban Developments","source":"crossref","abstract":"Deep excavations underpin transit-oriented districts, airport-linked complexes, high-rise mixed-use precincts, and underground utility corridors. In these dense settings, wall movements, ground loss, drawdown, and construction sequencing interact with vulnerable urban assets in ways that are difficult to observe and harder to predict. Digital twin technology is increasingly proposed as a response because it links field measurements with continuously updated virtual models for interpretation, forecasting, and intervention. This review synthesizes literature published between 2020 and 2025 on digital twins, geotechnical monitoring, deep excavation risk analytics, and urban digital infrastructure. Using a PRISMA-informed review design, the paper maps how sensing, BIM-GIS integration, physics-based simulation, machine learning, and uncertainty management are combined to support wall deflection control, settlement warning, groundwater management, and protection of adjacent buildings. The review argues that the value of a digital twin lies not in visualization alone but in the creation of a closed monitoring loop in which data, models, thresholds, and response rules are aligned to excavation stages and urban exposure. Two contributions are offered: a lifecycle architecture for twin-enabled excavation monitoring and a maturity-based implementation roadmap for mega urban developments. The synthesis shows that current advances are strongest in risk prediction, virtual sensing, and automated model updating, whereas major limitations remain in data interoperability, uncertainty communication, contractual governance, and scaling from pilot projects to district-level portfolios.","url":"https://doi.org/10.36348/gajeb.2026.v08i03.017","authors":["Hassan Ahmed Atiah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T05:33:20Z","doi":"10.36348/gajeb.2026.v08i03.017","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/aisei68628.2026.11572833","name":"Digital Twin Model of a Smart Irrigation System for Water-Efficient Crop Production","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aisei68628.2026.11572833","authors":["Ashurov Nurali Abdujalilovich","Abdiev Orifjon Kh","Rakhimbayev Otabek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T19:43:40Z","doi":"10.1109/aisei68628.2026.11572833","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.scs.2026.107880","name":"Towards an Urban Digital Twin: An XAI-Integrated Prototype Framework for Sustainable Mobility Modelling in Algiers, Algeria","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scs.2026.107880","authors":["Mohammed Rayane Khali","Hadjira Berbache"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T15:36:43Z","doi":"10.1016/j.scs.2026.107880","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00030-7","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00030-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T10:01:26Z","doi":"10.1016/b978-0-443-34226-4.00030-7","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.jmsy.2026.02.012","name":"Corrigendum to “Automated extraction of comprehensive digital twin models for smart manufacturing systems” [J. Manuf. Syst. 85 (2026) 287–306]","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2026.02.012","authors":["Atieh Khodadadi","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T20:34:24Z","doi":"10.1016/j.jmsy.2026.02.012","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-981-95-9291-3_8","name":"Digital Twin Modeling of Pore Structure and Fluid Flow in Weakly Cemented Sandstones","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-9291-3_8","authors":["V. V. Khimulia","S. O. Barkov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T00:52:33Z","doi":"10.1007/978-981-95-9291-3_8","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.ast.2026.112438","name":"A shared-latent probabilistic digital twin for BLI fan-blade forced response with physics-anchored stress fields","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.112438","authors":["Xiaodong Zhang","Baoqiang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T06:57:01Z","doi":"10.1016/j.ast.2026.112438","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.66224/ist.202603.12.01","name":"Toward an Implementable Hybrid Digital Twin for Heart Failure: A Conceptual and Evidence-Informed Framework","source":"crossref","abstract":"","url":"https://doi.org/10.66224/ist.202603.12.01","authors":["Sasan Shafiei","Fahimeh Joveini","Sina Baghi Keshtan","Mina Naeini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-15T13:29:01Z","doi":"10.66224/ist.202603.12.01","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.36838/ijhsr88.29","name":"From Operations to Satisfaction: How Digital Twin Systems Shape Startup Success in the UAE’s Renewable Energy Sector","source":"crossref","abstract":"","url":"https://doi.org/10.36838/ijhsr88.29","authors":["Shreyram Seetharaman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T00:04:46Z","doi":"10.36838/ijhsr88.29","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1061/9780784486795.029","name":"Research on Real-Time Response of Cloud Visualization Technology for Digital Twin of Sluice Gate Project System Driven by Pre-Calculated Data","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486795.029","authors":["Hui Cai","Qiyao Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T10:03:32Z","doi":"10.1061/9780784486795.029","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/978-981-95-5915-2_11","name":"Evolution of Agriculture Technology: Assimilation of Biotechnology and Food Technology for Smart and Sustainable Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-5915-2_11","authors":["Manish Pant","Akanksha Kumari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T12:52:00Z","doi":"10.1007/978-981-95-5915-2_11","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.foodcont.2026.112388","name":"Innovations in digital twin technology for real-time food traceability and post-harvest optimization for sustainable development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.foodcont.2026.112388","authors":["Vinay Kumar Pandey","Ayaz Mukarram Shaikh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-14T18:21:08Z","doi":"10.1016/j.foodcont.2026.112388","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00029-0","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00029-0","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T10:01:27Z","doi":"10.1016/b978-0-443-34226-4.00029-0","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00032-4","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00032-4","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:47:39Z","doi":"10.1016/b978-0-443-30300-5.00032-4","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.36227/techrxiv.16828759","name":"Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges","source":"crossref","abstract":"&lt;div&gt;A Digital Twin is a digital replica of a living or non-living physical entity, and this emerging technology attracted extensive attention from different industries during the past decade. Although a few Digital Twin studies have been conducted in the transportation domain very recently, there is no systematic research with a holistic framework connecting various mobility entities together. In this study, a Mobility Digital Twin (MDT) framework is developed, which is defined as an Artificial Intelligence (AI)-based data-driven cloud-edgedevice framework for mobility services. This MDT consists of three building blocks in the physical space (namely Human, Vehicle, and Traffic), and their associated Digital Twins in the digital space. An example cloud-edge architecture is built with AmazonWeb Services (AWS) to accommodate the proposed MDT framework and to fulfill its digital functionalities of storage, modeling, learning, simulation, and prediction. The effectiveness of the MDT framework is shown through the case study of three digital building blocks with their key micro-services: the Human Digital Twin with user management and driver type classification, the Vehicle Digital Twin with cloud-based Advanced Driver-Assistance Systems (ADAS), and the Traffic Digital Twin with traffic flow monitoring and variable speed limit. &lt;/div&gt;","url":"https://doi.org/10.36227/techrxiv.16828759","authors":["Ziran Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-21T16:19:39Z","doi":"10.36227/techrxiv.16828759","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1145/3786169.3788396","name":"Immersion Without Instability: A Digital Twin Approach to Solve Imbalance Issues in Virtual Reality","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3786169.3788396","authors":["MD Irfan Pavel","M. Rasel Mahmud"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T15:30:07Z","doi":"10.1145/3786169.3788396","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1504/ejie.2026.10072994","name":"Using Digital Twin Technology to Conduct Dynamic Simulation of Industry-Education Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ejie.2026.10072994","authors":["Zhenyun Chang","Xiaohong Li","Minmin Shao","Dongmei Qian","Lin Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-19T13:00:20Z","doi":"10.1504/ejie.2026.10072994","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/conit69683.2026.11620778","name":"AI-Driven 6G Network Slicing Optimization using Digital Twin-Assisted Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/conit69683.2026.11620778","authors":["Biky Chouhan","Manisha Nagpal","Meenal Saraswat","Sonal Sood","Sahil Aggarwal","Chirag Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T19:08:30Z","doi":"10.1109/conit69683.2026.11620778","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1088/1742-6596/3261/1/012066","name":"A digital twin-based modeling method for equipment interconnection and information mapping in smart manufacturing workshops","source":"crossref","abstract":"Abstract This paper presents a digital twin-driven approach for device interconnection and information mapping to tackle the challenges of heterogeneous integration and information fusion in intelligent manufacturing workshops. The solution leverages an OPC UA and IIoT-based “edge-cloud” collaborative architecture, which facilitates standardized access and real-time data exchange among heterogeneous devices. Experiments confirmed a median data acquisition cycle of 100 ms (95% of intervals within 50 – 150 ms), an average end-to-end control command delay of 380 ms ± 120 ms , a geometric mapping error under 0.8%, and a fault prediction accuracy rate of 92%. Consequently, the proposed method enhanced equipment utilization by 23%, elevated the product qualification rate to 99.6%, and achieved an 18% reduction in energy consumption.","url":"https://doi.org/10.1088/1742-6596/3261/1/012066","authors":["Quanwen He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-19T16:07:20Z","doi":"10.1088/1742-6596/3261/1/012066","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/ic2pct68894.2026.11584310","name":"Digital Twin Implementation in Railway Sector: A Critical Review on Train-Station Coordination","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ic2pct68894.2026.11584310","authors":["Shreya Rajesh","Manvi Chhiller","Dipti Theng","Sofia Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T19:40:40Z","doi":"10.1109/ic2pct68894.2026.11584310","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1515/9783111327853-toc","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-toc","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-toc","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1061/9780784486979.090","name":"Understanding Barriers and Opportunities for Technology-Enhanced Weatherization: A Community-Engaged Study for the Design of an AI-Assisted Digital Twin Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486979.090","authors":["Kaiwen Chen","Ahmad Gholizadeh Lonbar","Sophia Arthur","Yining Wen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T10:02:48Z","doi":"10.1061/9780784486979.090","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.22541/au.164905382.24261498/v1","name":"Data Guided Materials Processing - Digital Material Twin and Digital Material Shadow","source":"crossref","abstract":"In context of industry 4.0, a digital twin provides new opportunities for production optimization and failure prediction. Therefore, both industry and scientific research show increasing interest in digital twins. One of the most important sectors in the production value chain is material science, which plays a very important role for the product properties and processing strategies. However, the digital microscopic and macroscopic description of materials' properties and its processing are currently not fully defined. Therefore, in order to implement materials into the digital representations of production processes, a throughout digital description of the material and its properties -- a digital material twin -- is presented in this paper. An extended digital material twin is further defined and includes the processing history. Thus, a throughout description of the material is enabled. The extended material twins can be connected to a process chain. Thus, we describe the concept for a comprehensive description of the materials' properties within the production value chain. For more complex, data intensive, descriptions, a concept to reduce the data, the digital material shadow is introduced as well. Our approach defines a framework to thoroughly describe a material and its development during processing or production.","url":"https://doi.org/10.22541/au.164905382.24261498/v1","authors":["Jing Wang","Sebastian Wesselmecking","Ulrich Krupp","Marc Ackermann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-04T02:30:33Z","doi":"10.22541/au.164905382.24261498/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.61838/dtai.266","name":"Applications of Augmented/Virtual Reality (AR/VR), Digital Twin, and Edge Computing in Smart Urban Resource Management, Waste Management, and Transportation","source":"crossref","abstract":"The present study aimed to investigate the role of Augmented/Virtual Reality (AR/VR), Digital Twin systems, and Edge Computing in improving smart urban resource management, waste management optimization, intelligent transportation performance, environmental sustainability, and citizen satisfaction in Tehran. This study employed a mixed-methods exploratory-sequential design with qualitative and quantitative phases. In the qualitative stage, semi-structured interviews were conducted with 18 experts in smart city technologies, urban planning, transportation systems, environmental management, and digital infrastructure using purposive sampling until theoretical saturation was achieved. The qualitative findings were used to design a researcher-developed questionnaire containing 52 items distributed across dimensions including AR/VR applications, Digital Twin integration, Edge Computing efficiency, smart waste management, transportation performance, environmental sustainability, operational responsiveness, and citizen satisfaction. In the quantitative phase, 384 managers, urban planners, transportation experts, and municipal technology specialists from Tehran Municipality were selected through stratified random sampling. Content validity was confirmed through expert review, while construct validity was examined using exploratory and confirmatory factor analyses. Reliability coefficients exceeded 0.70 for all variables. Data were analyzed using SPSS-27 and AMOS-26 through descriptive statistics, Pearson correlation analysis, multiple regression, confirmatory factor analysis, and structural equation modeling. The results demonstrated significant positive relationships among all research variables at the 0.01 significance level. Digital Twin Integration had the strongest direct effect on Smart Urban Management Efficiency (β = 0.36, p = 0.001), followed by Edge Computing Efficiency (β = 0.33, p = 0.001) and AR/VR Applications (β = 0.29, p = 0.001). Smart Urban Management Efficiency significantly predicted Environmental Sustainability (β = 0.42, p = 0.001) and Citizen Satisfaction (β = 0.39, p = 0.001). The strongest correlation was observed between Edge Computing Efficiency and Operational Responsiveness (r = 0.78, p &lt; 0.01). The structural equation model demonstrated acceptable fit indices (χ2/df = 2.11, RMSEA = 0.054, GFI = 0.93, AGFI = 0.91, CFI = 0.95, TLI = 0.94), confirming the adequacy of the proposed conceptual framework. The findings indicate that the integration of AR/VR technologies, Digital Twin systems, and Edge Computing infrastructures substantially enhances smart urban governance by improving operational efficiency, transportation management, waste management optimization, environmental sustainability, and citizen-centered service delivery. The study highlights the strategic importance of interoperable digital ecosystems and real-time intelligent infrastructures in supporting sustainable and resilient urban development in metropolitan environments.","url":"https://doi.org/10.61838/dtai.266","authors":["Mahsa Nazari","Mohammad Faraji-Mehmandar","Mehdi Aminian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-24T18:40:28Z","doi":"10.61838/dtai.266","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1049/icp.2026.1886","name":"Fault diagnosis of belt conveyor drum bearings based on digital twin data augmentation","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.1886","authors":["Chunyu Yang","Yanshuo Qu","Yaqiang Shaang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T07:36:52Z","doi":"10.1049/icp.2026.1886","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.69997/pse.137693","name":"From Mechanistic Model to Digital Twin: A Framework for Real-Time Optimization of Ethanol Production In S.Cerevisiae","source":"crossref","abstract":"The transition to smart bioprocessing requires control strategies capable of managing the nonlinear dynamics and limited observability in industrial fermentation. In this work, we developed a fed-batch digital twin process for ethanol production by Saccharomyces cerevisiae via combining a mechanistic model with advanced data assimilation to achieve robust Nonlinear Model Predictive Control (NMPC). Recursive Bayesian state estimators have been developed to overcome nonlinearities of the biological models both anaerobic and aerobic, complex metabolic shifts, batch-to-batch parameters variability, and lack of biomass online measurements. Observers (soft sensors) were constructed and benchmarked for computational tractability and statistical accuracy, including Extended (EKF), Ensemble (EnKF), and Particle Filters (PF), They achieved best overall MSE improvements over the mechanistic model; The closed-loop framework showed a robust performance tested by parametric model-plant mismatches, and heteroscedastic measurement noise.","url":"https://doi.org/10.69997/pse.137693","authors":["Omar Bayomie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-13T13:28:36Z","doi":"10.69997/pse.137693","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/iraset68627.2026.11538701","name":"Digital Twin-Driven Conceptual and Embodiment Design: Opportunities and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iraset68627.2026.11538701","authors":["Hicham Asadi","Abdelmajid Ait Taleb","Mohammed Sallaou","Abderazzak Ziat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T19:49:03Z","doi":"10.1109/iraset68627.2026.11538701","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s13202-026-02164-2","name":"The rise of digital twin: a new era for reservoir simulation and modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s13202-026-02164-2","authors":["Alireza Bigdeli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-23T11:15:47Z","doi":"10.1007/s13202-026-02164-2","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394383740.ch12","name":"Neuro‐Symbolic AI for Cardiovascular Pharmacovigilance","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch12","authors":["Jossy P. George","Kamal Upreti","Bosco Paul Alapatt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch12","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.dcan.2026.04.003","name":"Decentralized semi-federated learning in digital twin-empowered industrial IoT","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dcan.2026.04.003","authors":["Fangfang Chen","Xiongyue Wu","Jianhua Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-01T02:00:52Z","doi":"10.1016/j.dcan.2026.04.003","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1049/icp.2025.4593","name":"Digital twin-enhanced intelligent visual inspection platform for cable tunnel operations and maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2025.4593","authors":["Burong Chang","Kunyu Zhao","Xiyi Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-21T14:16:52Z","doi":"10.1049/icp.2025.4593","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/3scea68071.2026.11603097","name":"Digital Twin-Based Geometric Error Modeling and Inverse Kinematics Compensation for 5-Axis CNC Machining","source":"crossref","abstract":"","url":"https://doi.org/10.1109/3scea68071.2026.11603097","authors":["Mohamed Kassem","Khaled Tolba"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-17T19:43:26Z","doi":"10.1109/3scea68071.2026.11603097","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1504/ijceell.2026.153616","name":"Digital twin technology for building immersive learning environment for English education","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijceell.2026.153616","authors":["Xiaolin Wu","Qing Ai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-19T11:30:26Z","doi":"10.1504/ijceell.2026.153616","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.36690/2674-5216-2026-1-97-108","name":"A Strategic and Institutional Evaluation on the Precursors of Green and Digital Transformation: The Twin Transition","source":"crossref","abstract":"In contemporary institutional and corporate environments, green and digital transformation are increasingly addressed as interconnected rather than separate processes. This twin transition reflects a strategic effort to align technological development with environmental sustainability and to integrate digital infrastructure with low-carbon and circular economy objectives. The growing importance of this process is associated with the need to improve eco-efficiency, productivity, operational flexibility, and long-term competitiveness. This study aims to provide an in-depth perspective on the multidimensional determinants of green and digital transformation by systematically evaluating the strategic and institutional precursors of the twin transition. It specifically seeks to identify the organizational, managerial, cultural, and technological conditions that enable institutions to align digital strategies with environmental goals and generate sustainable outcomes. The study adopts a conceptual and evaluative research design based on a systematic analysis of the current literature and empirical findings related to green transformation, digital transformation, and the twin transition. The analysis is interpretive and integrative, focusing on such determinants as digital leadership, organizational capability, strategic agility, corporate culture, employee well-being, technological synergy, and governance mechanisms. The findings indicate that the twin transition should be understood as an integrated ecosystem. Strategic convergence between digitalization and green management improves eco-efficiency, total factor productivity, and operational performance while supporting carbon reduction and circular economy practices. The results also show that digital leadership, organizational capability, and corporate culture constitute the three core pillars of successful transformation. In contrast, managerial myopia, weak institutional readiness, and unbalanced digitalization may limit the environmental effectiveness of digital investments. Successful twin transition requires strategic alignment, visionary leadership, institutional flexibility, human-centered management, and governance consistency. Digital transformation generates sustainable value only when it is embedded in environmental goals and supported by a coherent organizational system. Future studies may expand the empirical basis of twin transition by testing this framework across sectors and countries, as well as by examining the long-term effects of digital governance, workforce adaptation, and green innovation performance.","url":"https://doi.org/10.36690/2674-5216-2026-1-97-108","authors":["Erhan Kılınç","Recep Yücel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-10T12:22:07Z","doi":"10.36690/2674-5216-2026-1-97-108","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-032-05592-7_6","name":"Industrial IoT and 3D Digital Twin for Real Time-Evergreening of Engineering Assets Subjected to Corrosion Under Insulation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-05592-7_6","authors":["Alvaro Rodríguez-Prieto","Alberto Mura","Eduardo Nuevo","Manuel Callejas","Ernesto Primera","Franco Gambato"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-02T02:51:11Z","doi":"10.1007/978-3-032-05592-7_6","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/das69882.2026.11553353","name":"Intelligent Multi-Agent Digital Twin Architecture for Modeling and Monitoring Catastrophic Events","source":"crossref","abstract":"","url":"https://doi.org/10.1109/das69882.2026.11553353","authors":["Victor Ababii","Viorica Sudacevschi","Olesea Borozan","Iulian Lungu","Neonil Rosca","Silvia Munteanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:59:27Z","doi":"10.1109/das69882.2026.11553353","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/9781394383740.ch13","name":"Cloud Computing in Education","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch13","authors":["Arun Kumar Rana","Mandeep Kaur","Sumit Kumar Rana","Deepak Kumar","Maksud Alam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch13","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3390/electronics15143080","name":"Toward Zero-Downtime Industrial IoT: Digital Twin-Enabled Predictive Wireless Power Transfer and Sensing Scheduling","source":"crossref","abstract":"Industrial Internet of Things (IIoT) networks require continuous, uninterrupted sensing operations despite the finite battery capacity of deployed IoT nodes. Conventional reactive energy management, where nodes switch to charging mode only after residual energy falls below a fixed threshold, cannot prevent depletion events and compromises network uptime. We propose a digital twin (DT)-enabled predictive scheduling framework in which a DT layer co-located with a multi-access edge computing (MEC) control center continuously mirrors the physical network state and generates H-slot look-ahead scheduling decisions before depletion can occur. The framework operates over a 5G network-sliced infrastructure with dedicated URLLC, eMBB, and mMTC slices. Two coupled integer programming problems are formulated, namely a predictive IoT node scheduling problem and a predictive energy transmitter scheduling problem. Optimal solutions are obtained via branch-and-bound with reliability branching (DT-PBB), and a low-complexity DT-Aware Greedy Priority Heuristic (DT-GPH) is also proposed. Evaluated against Earliest-Deadline-First (EDF-WPT), No-WPT (a baseline that disables wireless charging entirely), and Random baselines across three parameter configurations with K up to 200 nodes, DT-PBB achieves the highest sensing utility and the fewest energy depletion events in all scenarios. DT-GPH provides near-optimal depletion performance at substantially lower computation cost. EDF-WPT, the strongest reactive policy, incurs 2-4 times more depletion events than DT-PBB. Proactive DT-enabled look-ahead decisively outperforms reactive urgency-based scheduling, validating the zero-downtime paradigm for large-scale IIoT networks.","url":"https://doi.org/10.3390/electronics15143080","authors":["Ali Hamdan Alenezi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T00:55:21Z","doi":"10.3390/electronics15143080","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.62311/nesx/rb-978-81-997219-5-1","name":"Digital Twin Predictive Control for Industrial Mechatronic Systems","source":"crossref","abstract":"Abstract Industrial mechatronic systems—robotic cells, servo-driven machines, process lines, and cyber-physical infrastructure—operate under uncertainty arising from wear, variable loads, supply fluctuations, and changing production goals. Digital twins promise to turn this uncertainty into actionable foresight by coupling physics-informed models with live telemetry, while predictive control operationalizes foresight by selecting actions that anticipate constraints, costs, and safety margins. This manuscript develops a publisher-ready framework for designing, validating, and governing digital-twin predictive control (DTPC) in settings where latency, reliability, and accountability are non-negotiable. The central argument is that DTPC succeeds only when evidence is co-designed across layers: (i) foundations and research design, where twin fidelity, uncertainty, and identifiability are defined as measurable commitments; (ii) statistical explanation and causal reasoning, where confounding from maintenance, operator behavior, and regime changes is modeled explicitly; (iii) trustworthy machine learning, where prediction and generalization under domain shift are treated as first-class objectives; and (iv) scalable engineering, where reproducibility, monitoring, and safe updates sustain trust throughout the lifecycle. The concluding chapter translates DTPC into sectoral horizons—manufacturing, energy, mobility, and infrastructure—specifying governance artifacts such as risk registers and conformity assessment dossiers that connect performance claims to oversight. Throughout, the text avoids unverifiable case claims and instead provides protocols, metrics, and decision tools suitable for researchers, practitioners, and policymakers. Keywords digital twin, predictive control, model predictive control, mechatronic systems, cyber-physical systems, uncertainty quantification, system identification, causal inference, statistical modeling, trustworthy machine learning, domain shift, calibration, robustness, anomaly detection, scalable analytics, reproducibility, MLOps, safety engineering, governance, industrial policy","url":"https://doi.org/10.62311/nesx/rb-978-81-997219-5-1","authors":["Murali Krishna Pasupuleti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-06T13:04:16Z","doi":"10.62311/nesx/rb-978-81-997219-5-1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.66408/abc2.2026.30","name":"IoT-Enabled Digital Twin for Autonomous Modular Construction Progress Monitoring","source":"crossref","abstract":"This study aims to develop and validate an autonomous progress monitoring solution for modular construction using DT technology. The goal is to address limitations in current modular construction monitoring by integrating IoT technologies with DT platforms to provide real-time, actionable insights and enhance project coordination. A DSR methodology was adopted to guide systematic development and validation of the proposed DT-based artefact. The research involved a detailed literature review to identify existing gaps in modular construction progress monitoring, followed by design, implementation, and testing of a practical DT solution using a simulated modular construction case study. The solution integrates close-range IoT technologies—specifically RFID tags and readers—to capture pre-defined element status data and generate real-time progress visualisation. The findings confirm that DTs, when coupled with appropriate IoT technologies, can provide a feasible and scalable solution for autonomous progress monitoring in modular construction. Close-range tracking technologies were found to offer the most reliable and accessible means for data collection. The solution emphasises simplicity and practicality, using minimal but targeted data to deliver meaningful progress metrics. The novel DT ontology further supports adaptability across diverse project settings, ensuring broader applicability. This research makes a novel contribution by presenting a validated, lightweight DT-based progress monitoring framework tailored to the unique characteristics of modular construction. Unlike traditional 4D BIM approaches, the solution prioritises automation, accessibility, and operational efficiency, aligning with Industry 4.0 objectives. It offers a replicable architecture for future DT implementations in construction, thereby advancing both academic understanding and industrial practice.","url":"https://doi.org/10.66408/abc2.2026.30","authors":["Scott Sheenan","Faris Elghaish","Tara Brooks","Farzad Rahimian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-19T16:34:32Z","doi":"10.66408/abc2.2026.30","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/iatmsi68868.2026.11465248","name":"Hybrid Adaptive Digital Twin-Based Fault Tolerance for Cyber-Resilient EV Charging Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iatmsi68868.2026.11465248","authors":["Mugdha Mishra","D D Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-07T19:55:00Z","doi":"10.1109/iatmsi68868.2026.11465248","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/esci68015.2026.11493378","name":"Digital Twin-Based Real-Time Fault Prediction for Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/esci68015.2026.11493378","authors":["Vikrant Nangare","Pradnya Borkar","Sachin Malke","Sumit Panchshil Waghmare","Suraj Bhan","P. Jagadeeswari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-28T19:46:14Z","doi":"10.1109/esci68015.2026.11493378","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.future.2026.108690","name":"Multi-objective optimization strategy for computing task allocation in digital twin-based bridge monitoring system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.future.2026.108690","authors":["Song Li","Xiaoping Ma","Hanqing Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T16:32:09Z","doi":"10.1016/j.future.2026.108690","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/tcset65181.2026.11460948","name":"Data Management Framework for the Process Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tcset65181.2026.11460948","authors":["Hesam Rezaee Ahvanouee","Raghuveer Rajesh Dani","Aditi Shirke","Galyna Tabunshchyk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-06T19:54:01Z","doi":"10.1109/tcset65181.2026.11460948","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/isaeece70502.2026.11635567","name":"Real-Time Adaptive Gray-Box Digital Twin for Industrial Equipment: Online Calibration and Edge-Deployable Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isaeece70502.2026.11635567","authors":["Xiaobei Wen","Chuyuan Wen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-10T19:16:08Z","doi":"10.1109/isaeece70502.2026.11635567","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.sysarc.2025.103601","name":"A reliable and effective authentication mechanism for vehicular digital twin networks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sysarc.2025.103601","authors":["Vinod Kumar","Fauzia Hassan","Rabi Narayan Kar","Anil Kumar Nishad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-27T07:34:44Z","doi":"10.1016/j.sysarc.2025.103601","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/smartcomp-companion70724.2026.00049","name":"An AI-driven Digital Twin Methodology To Optimize Irrigation in Greenhouses","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp-companion70724.2026.00049","authors":["Ilenia Ficili","Maurizio Giacobbe","Giuseppe Tricomi","Antonio Puliafito"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T18:16:05Z","doi":"10.1109/smartcomp-companion70724.2026.00049","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.31224/7282","name":"From Environmental Simulators to Building-Scale Risk Maps: A Digital Twin Framework for Multi-Hazard Risk Assessment","source":"crossref","abstract":"Risk maps are traditionally constructed from historical observations of hazards and impacts. Yet such records are often sparse, incomplete or poorly representative of future conditions, limiting their usefulness for assessing rare or emerging events. This paper proposes a Digital-Twin-based methodological framework for multi-hazard risk analysis that generates synthetic, forward-looking hazard scenarios and translates them into building-scale risk indicators. The framework combines physics-based simulators for atmospheric pollution, wildfire spread and surface flooding with scenario generation informed by environmental drivers such as wind regimes, ignition locations, rainfall intensities and soil parameters. These scenarios are propagated through a probabilistic workflow to derive empirical distributions, exceedance probabilities, tail-oriented indicators and spatial risk maps. Three case studies demonstrate how heterogeneous hazard models can be organised within a common pipeline. Pollution simulations combine deterministic advection with wind-rose frequencies to produce weighted concentration indicators; wildfire simulations use a stochastic cellular-automaton model to estimate burn probabilities; and flood simulations use a rainfall--soil design of experiments to evaluate maximum water-depth exceedance. The results show that synthetic yet physically grounded scenarios can reveal low-probability, high-impact situations that may be absent from historical records. The framework provides a transparent basis for decision support, urban planning and longer-term risk-informed assessment.","url":"https://doi.org/10.31224/7282","authors":["Thomas Dau","Beatriz Moya","Amine Ammar","Sergio Torregrosa","Boris Huljak","Francisco Chinesta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T19:25:05Z","doi":"10.31224/7282","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1007/s42979-026-05079-1","name":"Digital Twin-Integrated Real-Time EPQ Optimization Under Emission Refund Policies for Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42979-026-05079-1","authors":["Prabal Das","Nabendu Sen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T07:26:24Z","doi":"10.1007/s42979-026-05079-1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3390/su18052321","name":"DT-LCAF: Digital Twin-Enabled Life Cycle Assessment Framework for Real-Time Embodied Carbon Optimization in Smart Building Construction","source":"openalex","abstract":"The construction sector contributes approximately 39% of global carbon emissions, with embodied carbon—emissions from material extraction, manufacturing, transportation, and construction—representing a systematically underestimated yet increasingly critical component of building life cycle environmental impacts. Traditional Life Cycle Assessment (LCA) methods suffer from static database dependencies, delayed feedback cycles, and limited integration with active construction decision-making, creating a fundamental gap between environmental assessment and construction operations. This paper presents the Digital Twin-Enabled Life Cycle Assessment Framework (DT-LCAF), a dynamic construction-phase embodied carbon accounting system aligned with the EN 15978 standard (stages A1–A5) that integrates Building Information Modeling (BIM), Internet of Things (IoT) sensor networks, and machine learning designed to support real-time sustainability decision-making during smart building construction, with computational performance validated through the offline processing of historical datasets. The framework introduces two enabling mechanisms: (1) a Multi-Scale Carbon Prediction Network (MSCPN) employing hierarchical graph attention networks to capture material interdependencies across component, system, and building scales; and (2) a Reinforcement Learning-based Carbon Optimization Engine (RL-COE) that generates constraint-aware recommendations for material substitution, supplier selection, and construction sequencing while respecting structural, economic, and temporal constraints. Experimental evaluation employs two complementary validation strategies using proxy embodied carbon labels (not ground-truth construction measurements): embodied carbon prediction accuracy is assessed using proxy carbon labels derived from the CBECS dataset (5900 commercial buildings) combined with the ICE Database v3.0 emission factors, achieving a 10.24% MAPE, representing a 23.7% improvement over the best-performing baseline in predicting these proxy estimates; temporal responsiveness and streaming data ingestion capabilities are validated using the Building Data Genome Project 2 (1636 buildings, 3053 m). The RL-COE optimization engine demonstrates an 18.4% mean carbon reduction rate within the proxy label framework across building types while maintaining cost and schedule feasibility. A BIM-based case study illustrates the framework’s construction-phase update loop, showing how embodied carbon estimates evolve dynamically as construction progresses. The limitations regarding the proxy-based nature of embodied carbon labels and the absence of ground-truth construction-phase measurements are explicitly discussed. The framework contributes to smart city sustainability by enabling scalable, data-driven embodied carbon intelligence across building portfolios. All quantitative results are based on proxy embodied carbon estimates derived from building characteristics and standard emission factor databases, rather than measured project data. The reported performance therefore demonstrates a proof-of-concept within the proxy system, and real-project, measurement-based validation remains future work.","url":"https://doi.org/10.3390/su18052321","authors":["Naif Albelwi"],"tags":["Life-cycle assessment","Computer science","Interdependence","Sustainability","Proxy (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-27","doi":"10.3390/su18052321","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1049/icp.2026.0500","name":"A digital twin modeling method for IPMSMs based on an improved grey wolf optimizer","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0500","authors":["Ha Dalei","Shi Runbo","Ma Chenwei","Zhang Sihui","Song Wensheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0500","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1108/idd-07-2025-0175","name":"An educational digital twin framework for tool condition monitoring in CNC turning under Industry 4.0 laboratories","source":"crossref","abstract":"Purpose The proposed paper introduces a practical and expandable digital twin (DT)-based tool condition monitoring (TCM) system in CNC turning, which is tailored for the Industry 4.0 laboratory environment in engineering teaching. Design/methodology/approach A systematic search of the recent developments in DT was done, including data-driven, physics-based and hybrid methods. The knowledge is packaged into a five-layer DT framework comprising of virtual modeling, sensor systems, real-time data connectivity, analytical tools and operator interfaces. The paper further identifies the way in which this framework can be applied in an academic CNC lab with low-cost sensors, Internet of Things (IoT) platforms and simulation tools. Findings The Hybrid DT Model’s wear estimation was validated by way of simulation-based validation showing rating A, average accuracy rating of 89%–92% and also having a mean absolute error of only between 0.015 and 0.020 mm. In comparison to purely data-driven approaches, Hybrid DT’s greater robustness allowed it to function better under different machining environments (i.e. variable cutting conditions). The lab prototype has demonstrated that low-cost sensors along with IoT integration enable real-time monitoring capabilities. Research limitations/implications The study is mainly conceptual; the validation of experiment using simulation or prototype implementation is cited as future research. Practical implications The framework promotes practical learning in intelligent manufacturing, where students will have the opportunity to interact with real-time monitoring and data analytics, as well as a virtual machining environment. Originality/value To the best of the authors’ knowledge, this paper is the first one to fill the gap between industrial DT-based TCM methods and educational use, providing a conceptual framework about how to apply Industry 4.0 technologies to engineering laboratories.","url":"https://doi.org/10.1108/idd-07-2025-0175","authors":["Anand R. Lakkundi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T06:52:37Z","doi":"10.1108/idd-07-2025-0175","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.63887/2026.2.2.80","name":"Dynamic Simulation and Effect Evaluation of Urban Planning Intervention from the Perspective of Digital Twin","source":"crossref","abstract":"With the acceleration of urbanization and the iteration of digital technologies, the limitations of traditional urban planning, such as static and experience-based approaches, have become increasingly prominent, making it difficult to adapt to the dynamic complexity of urban systems. Digital Twin technology provides a new paradigm of \"simulate first, implement later, and optimize continuously\" for urban planning intervention by constructing a real-time mapping between the physical city and the virtual city. Based on the core characteristics of Digital Twin technology, this paper constructs a dynamic simulation system for urban planning intervention, clarifies the simulation process and key technologies, explores the evaluation dimensions and methods of planning intervention effects, analyzes the application paths of simulation and evaluation combined with practical scenarios, and finally summarizes the research conclusions and puts forward optimization directions. It aims to provide theoretical support and practical reference for improving the scientificity, accuracy and dynamic adaptability of urban planning. This research not only enriches the application practice of Digital Twin technology in the field of urban planning, but also provides a new idea for breaking through the bottleneck of traditional urban planning and promoting the high-quality development of urban planning.","url":"https://doi.org/10.63887/2026.2.2.80","authors":["Ying Ye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T13:18:07Z","doi":"10.63887/2026.2.2.80","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2139/ssrn.7349982","name":"Digital Twin-Assisted Robust Reinforcement Learning for Detection, Intelligent Congestion Control, and Autonomous Recovery from GOOSE Flooding Attacks in IEC 61850-Based Smart Substations","source":"crossref","abstract":"The IEC 61850 standard underpins modern substation automation, relying on Generic Object-Oriented Substation Event (GOOSE) messages for sub-4~ms peer-to-peer protection signaling. Designed for speed within trusted networks rather than adversarial settings, GOOSE remains vulnerable to flooding-based Denial-of-Service attacks that saturate switch and IED capacity, delaying or dropping legitimate protection traffic without forging protocol semantics. This paper proposes a framework that treats detection, congestion control, and autonomous recovery from GOOSE flooding as a single closed-loop decision problem. A Proximal Policy Optimization agent is trained against a Digital Twin of the substation network and physical layer under an adversarial curriculum over attack intensity and timing, exposing the agent to a distribution of flooding behaviors rather than a fixed scenario. The framework, its 27-scenario attack library, and evaluation pipeline are released as an open-source, fully reproducible Python co-simulation environment (GOOSE-DT-Sim). Evaluated over five random seeds against a rule-based threshold IDS, a standard DQN agent, and a non-robust PPO agent---on both training and entirely held-out scenarios---the proposed method achieves the lowest GOOSE latency under active flooding (7.2--8.9~ms mean versus 12.3--20.6~ms for baselines) and a clear detection advantage on pulsed/intermittent flooding, the pattern hardest to distinguish from legitimate bursts (72.7% recall versus 54.7% for non-robust PPO). These gains entail honestly reported trade-offs: higher false-positive rate, longer recovery time, and greater seed-to-seed variance in worst-case performance. Limitations and concrete next steps---hardware-in-the-loop validation, standards-compliant hard QoS reservation, and curriculum variance reduction---are discussed, positioning the work as a proof-of-concept rather than a deployment-ready solution.","url":"https://doi.org/10.2139/ssrn.7349982","authors":["Ehsan Abedini","Mohsen Nikray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-25T16:55:16Z","doi":"10.2139/ssrn.7349982","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3390/systems14030294","name":"MORL-SGF: A Governance-Aware Multi-Objective Reinforcement Learning Framework with Digital Twin Policy Validation for Sustainable Smart Cities","source":"crossref","abstract":"Smart city decision systems must balance conflicting objectives including efficiency, sustainability, equity, safety, and public accountability. Existing AI and reinforcement learning approaches often optimize isolated objectives and rarely provide integrated mechanisms for sustainability alignment, transparency, and pre-deployment validation. This paper introduces MORL-SGF, a governance-aware framework that integrates ESG/SDG-aligned multi-objective reinforcement learning, Digital Twin (DT)-based policy validation, and Pareto-based policy auditing within a single learning pipeline. The framework preserves vector-valued rewards to avoid hidden scalarization bias and supports auditable policy selection from a portfolio of Pareto-optimal candidates. MORL-SGF is validated analytically and conceptually through formal modeling and structured evidence synthesis rather than empirical deployment, providing a blueprint for subsequent simulation-based and real-world implementation studies. Future work will focus on large-scale Digital Twin benchmarking, stakeholder preference modeling, and deployment-oriented evaluation.","url":"https://doi.org/10.3390/systems14030294","authors":["Saad Alharbi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T14:45:39Z","doi":"10.3390/systems14030294","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3403/30374335u","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30374335u","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-09T21:47:31Z","doi":"10.3403/30374335u","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/b978-0-12-821631-6.04001-9","name":"Acknowledgments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.04001-9","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-17T13:04:30Z","doi":"10.1016/b978-0-12-821631-6.04001-9","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/sieds69358.2026.11540287","name":"Holding the Line: A Digital Twin Framework Supporting Policy Design for U.S. Power Grid Resilience","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sieds69358.2026.11540287","authors":["Daniel Freedman","Alison Pike","Avery Suriano","Walker Watson","Henning Mortveit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-02T20:03:18Z","doi":"10.1109/sieds69358.2026.11540287","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1515/joc-2026-0085","name":"Closed-loop digital twin intelligence for resilient and autonomous optical infrastructure and communications","source":"crossref","abstract":"Abstract Ultra-reliable optical communication links are required for mission-critical applications such as 5G/6G fronthaul, industrial automation, and data-center interconnects. In these applications the rare events that lead to communication failures are the limiting factor, rather than average performance. This work introduces a Monte-Carlo-driven digital twin framework for reliably designing coherent single-mode fiber optical links using Monte-Carlo simulation methods to compute outage probability for the given link parameters. The optical propagation is modeled using the nonlinear Schrödinger equation and solved using the Split-Step Fourier Method. The model incorporates chromatic dispersion, Kerr nonlinearity, attenuation, and variations in the noise statistics in the environment. Outage probability is defined as P out = Pr⁡( Q &lt; Q th ), where Q -factor is estimated via Monte-Carlo sampling. To reduce the computational cost of rare-event sampling, a neural-network surrogate digital twin is trained to model the relationship between link parameters, noise statistics, and outage probability. The fidelity of the model is assessed using MAE and R 2 metrics. The multi-objective optimization problem of maximizing outage probability while minimizing transmit power is solved using Pareto optimality principles. The results show a dramatic reduction in outage probability compared to designs based on fixed margins while providing a speedup of over two orders-of-magnitude compared to brute-force Monte-Carlo SSFM simulations. All simulations and models are available in an open-source and reproducible Python framework.","url":"https://doi.org/10.1515/joc-2026-0085","authors":["Swati Patil","Dayanand Bhaurao Jadhav","Kantilal Rane","Hemant A Wani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T15:26:16Z","doi":"10.1515/joc-2026-0085","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/percomworkshops68308.2026.11585362","name":"Digital Twin for Intent-driven Edge Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/percomworkshops68308.2026.11585362","authors":["Amardeep Kumar","Saugata Roy","Praveen Kumar Donta","Dinesh Kumar Sah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T19:42:40Z","doi":"10.1109/percomworkshops68308.2026.11585362","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.2298/tsci2601041l","name":"Digital twin-based intelligent warehouse thermal environment simulation and automated control optimization","source":"crossref","abstract":"This study constructed a digital twin model of the intelligent warehouse thermal environment that integrates geometric, physical, and behavioral characteristics. Its accuracy was verified through multi-condition simulation experiments. The experiment involved 96 monitoring points deployed in a 50 m ? 30 m ? 12 m warehouse area over 72 hours. Results showed that the mean temperature simulation error was 0.21?C, with 87% of the monitoring points achieving an error of ? ?0.3?C. The highest accuracy was achieved around the equipment (mean 0.18?C). Humidity and temperature showed a significant negative correlation (correlation coefficient -0.76). Cardboard packaging absorbs 5% moisture by weight, increasing local humidity by 8% in closed aisles. The correlation is dynamic: -0.76 (dry conditions) vs. -0.5 (rainy, external humidity &gt;90%). The weighting of the factors was equipment load (42%) &gt; external temperature (35%) &gt; cargo density (23%). The model accurately predicts thermal environment dynamics, providing support for efficient warehouse management and control.","url":"https://doi.org/10.2298/tsci2601041l","authors":["Tianqi Li","Shuai Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-20T14:58:46Z","doi":"10.2298/tsci2601041l","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4050/f-0082-2026-0215","name":"Digital Twin-based Integrated Airspace Management for Urban Air Mobility Services: Architecture, Intent Modeling, and Deployment","source":"crossref","abstract":"Urban Air Mobility (UAM) represents a paradigm shift in metropolitan transportation, introducing electric vertical takeoff and landing (eVTOL) aircraft into dense urban ecosystems. This transformation is driven by advances in electrification, digital infrastructure, and integrated airspace management. According to the U.S. Department of Transportation's Advanced Air Mobility National Strategy 2025, UAM is expected to become a cornerstone of multimodal urban transport, with commercial operations projected in multiple U.S. cities before 2030 [1].","url":"https://doi.org/10.4050/f-0082-2026-0215","authors":["Kamesh Namuduri","Arunkumar Sampath"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0215","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1061/9780784487013.001","name":"A Machine Learning-Enhanced Digital Twin Framework for Real-Time Traffic Signal Management at Intersections","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784487013.001","authors":["Hashiim Mohammed Sheriff Sathick Batcha","Gnanika Siddula","Kim-Doang Nguyen","Rodrigo Mesa-Arango"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T10:00:47Z","doi":"10.1061/9780784487013.001","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.jbusres.2025.115809","name":"CUP model: Purpose-driven digital twin configuration through enhanced user engagement","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jbusres.2025.115809","authors":["Remco A.H. Vos","Jeroen J.L. Schepers","Néomie Raassens","Fred Langerak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T02:36:00Z","doi":"10.1016/j.jbusres.2025.115809","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/icc59461.2026.11586876","name":"Resource and Power Optimizations for Multi-Task Air-FL With Digital Twin Assisted ISAC Over OFDM-Based Mobile Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc59461.2026.11586876","authors":["Guohao Pang","Xi Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T19:38:09Z","doi":"10.1109/icc59461.2026.11586876","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1049/icp.2026.0504","name":"Control methods of ion beam sputtering coating equipment based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0504","authors":["Yuhui Pei","Xiaohan Ji","Chenxiao Niu","Ming Ji","Weiji Liu","Yiming Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0504","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.58532/nbennurasstv6b1c6","name":"DIGITAL TWIN-ASSISTED SURGICAL ROBOTICS: FROM PREOPERATIVE SIMULATION TO AI-GUIDED INTRAOPERATIVE ADAPTATION","source":"crossref","abstract":"Digital twin technology, integrated with surgical robotic systems and artificial intelligence, represents a transformative paradigm in modern operative medicine. This chapter synthesizes current evidence on digital twin-assisted surgery (DTAS), examining its application across the surgical lifecycle from meticulous preoperative planning through real-time intraoperative adaptation. The integration of patient-specific virtual models, AI-driven decision support, and robotic precision enables surgeons to anticipate complications, optimize surgical strategies, and achieve sub-millimeter accuracy in critical tasks. We explore the technical architecture enabling DTAS, including extended reality visualization, sensor integration, and autonomous task execution, while addressing key challenges in clinical translation: data quality, regulatory frameworks, cybersecurity, and surgeon adoption. Evidence demonstrates significant improvements in operative efficiency (25–30% reduction in operative time), precision (40% enhanced accuracy), and patient outcomes (15% shorter recovery periods). Future surgical practice will increasingly leverage digital twins as intelligent navigators that synthesize preoperative plans with real-time anatomical updates, enabling personalized, data-driven interventions that reduce complications and democratize access to expert surgical care globally.","url":"https://doi.org/10.58532/nbennurasstv6b1c6","authors":["Mr. Lalit Sharma","Ms. Priyanka Chettri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-27T06:18:37Z","doi":"10.58532/nbennurasstv6b1c6","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4337/9781035364282.00010","name":"The impact of recommendation systems on the retail market: the consumer perspective","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035364282.00010","authors":["Kamil Harla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T20:59:16Z","doi":"10.4337/9781035364282.00010","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1201/9781003778677-78","name":"Traffic and weather driven hybrid digital twin for bridge monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003778677-78","authors":["Phani Raja Bharath Balijepalli","Bulent Soykan","Veeraraghava Raju Hasti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T12:27:46Z","doi":"10.1201/9781003778677-78","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1002/sys.70014","name":"FIRE: A Human‐Centered Framework for Digital Twin Design","source":"crossref","abstract":"ABSTRACT The integration of human perspectives into digital twin (DT) design for sociotechnical systems (STS) is essential for addressing the complex relationship between social and technical elements. Despite advances in DT technology, its application to STS demands a human‐centered approach that considers usability, user experience, and contextual factors. This work introduces FIRE (Framework for representing Intrinsic, Reflexive, and Extrinsic dimensions of a digital twin), a framework designed to guide the development of human‐centered DTs. FIRE assesses DTs across three dimensions: Intrinsic (system autonomy), Extrinsic (contextual integration), and Reflexive (self‐awareness and adaptability). As a design guide, FIRE ensures that human and social perspectives are integrated during the design. As a descriptive tool, FIRE provides valuable insights into existing DTs from the literature.","url":"https://doi.org/10.1002/sys.70014","authors":["Dimitri Masson","Eric Villeneuve"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T21:25:53Z","doi":"10.1002/sys.70014","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.58915/aset.v5i1.3202","name":"A Digital Twin Framework for Corrosion Predictive Analysis","source":"crossref","abstract":"In today’s dynamic environment, digital twins are gaining attraction for predictive maintenance. Existing research lacks the solutions that integrate advanced computer vision with intuitive visualization for corrosion analysis. This study aims to develop a Digital Twin framework for predictive corrosion analysis to improve asset integrity and operational performance from an Industry 4.0 perspective. The proposed framework focuses on offshore and onshore oil and gas platforms. In order to automatically identify the corrosion, YOLOv8 and YOLOv11 object detection models have been used to pre-process and analyze a curated corrosion dataset. The findings of the study reveal that with 93.6% accuracy and an F1-score of 0.92, YOLOv11 performs better than YOLOv8 (88.1% accuracy and 0.71 F1-score). It demonstrates the robustness of the YOLOv11 in diverse platform environments. Further, in the proposed Digital Twin framework, a corrosion data visualization dashboard has been designed to convert detection outputs into practical insights. The dashboard comprises corrosion severity indicators, spatial mapping, and performance metrics, enabling support for Reliability-Centered Maintenance (RCM) and Risk-Based Inspection (RBI). The study contributes to knowledge by benchmarking state-of-the-art detection models and presenting a corrosion-focused Digital Twin framework that integrates AI-enabled sensing with decision-support visualization.","url":"https://doi.org/10.58915/aset.v5i1.3202","authors":["Noor Ul Eeman","Wasim Ahmad","Mirza Jahanzaib","Salman Hussain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T02:08:41Z","doi":"10.58915/aset.v5i1.3202","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3389/frcmn.2025.1719501","name":"TinyTwinGuard: a lightweight authentication scheme for digital twin edge networks using TinyJAMBU","source":"crossref","abstract":"Digital Twin Edge Networks (DITEN) encounter significant challenges in balancing security and efficiency, as many existing authentication mechanisms either fail to deliver full security guarantees, such as perfect forward secrecy or protection against insider threats, or impose excessive overhead due to the use of ECC or RSA cryptographic primitives. To overcome these limitations, we introduce TinyTwinGuard (TTG), a lightweight authentication protocol designed specifically for DITEN environments and built upon the NIST-standardized TinyJAMBU Authenticated Encryption with Associated Data (AEAD) cipher. Using formal validation with the AVISPA framework and extensive experimental evaluation on Raspberry Pi 4B devices, we show that TTG satisfies a broad set of 13 security requirements relevant to DITEN, including user anonymity, resistance to privileged insider attacks, and perfect forward secrecy. Although TTG incurs slightly higher communication overhead than minimal hash-based approaches, with 4,896 bits compared to 2,560 bits, it achieves a 43.7% reduction in computational cost relative to ECC-based schemes and lowers energy consumption by 58.3%. Overall, these findings indicate that TTG achieves an effective balance between strong security and operational efficiency, making it well suited for industrial edge scenarios where both resilience and deployment practicality are essential.","url":"https://doi.org/10.3389/frcmn.2025.1719501","authors":["Mohammed El-Hajj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-11T07:17:09Z","doi":"10.3389/frcmn.2025.1719501","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.64697/iahr-apd2024_p312","name":"Application and Considerations of Digital Twin Technology in Flood Control Scheduling of the Li River Basin","source":"crossref","abstract":"In recent years, the Chinese government has placed a high priority on digital development, making significant strides in the digital economy, network infrastructure, and digital China initiatives. In this context, digital twin technology represents a critical advancement in the high-quality development of modern water conservancy, exemplifying new productive forces. This paper uses the Li River Basin as an example to explore the application of digital twin technology in flood control scheduling, aiming to support the high-quality development of basin water conservancy, ensure the stable and long-term economic growth of the Li River Basin, and maintain social harmony and stability through technological support.","url":"https://doi.org/10.64697/iahr-apd2024_p312","authors":["Yongrong Li","Xiaoping Chen","Zhimian Wang","Siman Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T21:33:08Z","doi":"10.64697/iahr-apd2024_p312","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4018/979-8-3373-5473-6.ch004","name":"Sustainable Urban Transformation","source":"crossref","abstract":"In this chapter, the author follows through with Digital Twin Technology (DTT) as a transformational tool in sustainable urban development. With cities experiencing amplified pressure from rapid urbanization and climate change, DTT entails a dynamic, information-driven method to oversee, simulate, and optimize urban systems on the fly. The chapter shows that DTT can be used to enable energy efficiency, reduction of carbon footprint, climate resilience, and inclusive governance by conducting literature reading, case studies (e.g., Singapore, Helsinki, Shanghai), and a strategic integration framework. It also analyzes the obstacles, technical, organizational, and ethical in a critical manner and describes the future possibilities of AI deployment, collaboration with the stakeholders, and standardization of frameworks. The chapter ends with the plan of action on how to implement DTT in sustainable urban governance, which could be of help to planners, policymakers, and research practitioners whose aim is to design smarter, more resilient, and more equitable urban futures.","url":"https://doi.org/10.4018/979-8-3373-5473-6.ch004","authors":["Leevesh Kumar","Sitesh Kumar Singh","Sagor Kumar Podder","Md Asaduzzaman Rasel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-07T15:53:03Z","doi":"10.4018/979-8-3373-5473-6.ch004","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.4018/979-8-2600-1669-5.ch007","name":"Smarter Decisions, Faster Results","source":"crossref","abstract":"As organizations confront increasing complexity and data overload, traditional decision-making models are no longer sufficient. This chapter introduces the concept of the cognitive enterprise, an organization that uses Artificial Intelligence (AI) to simulate human reasoning, automate responses, and drive real-time, strategic insights. By leveraging AI technologies such as Natural Language Processing (NLP), Machine Learning Operations (MLOps), predictive analytics, and intelligent automation, cognitive enterprises transform data into action across all business units. The chapter explores how real-time AI enables faster and more accurate decisions in logistics, healthcare, and customer service. It then examines the application of predictive maintenance in industrial settings, where AI-driven models prevent equipment failure, reduce costs, and improve safety. In human resources, AI powers workforce planning through predictive attrition models, resume analysis, and sentiment detection, shifting HR from an administrative role to a strategic partner.","url":"https://doi.org/10.4018/979-8-2600-1669-5.ch007","authors":["Salam Al E'mari","Yousef Sanjalawe","Fadi Fataftah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T12:21:41Z","doi":"10.4018/979-8-2600-1669-5.ch007","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.54254/2755-2721/2026.ch33123","name":"Review on Intelligent Scheduling and Operation Optimization of Container Terminals Empowered by Digital Twin","source":"crossref","abstract":"Container terminals, handling over 80% of global trade, face a \"triple dilemma\": complex multi-equipment coupling, frequent disturbances, and stringent international carbon mandates like the IMO policies and EU ETS. Traditional optimization methods struggle with real-time adaptation and low-carbon compliance. Digital Twin (DT) technology offers a new paradigm for virtual–physical mapping and carbon efficiency management. This paper systematically reviews port digital twins and intelligent scheduling, constructing a four-dimensional framework: architecture, problems, technologies, and applications. Findings indicate that DTs are characterized by bidirectional closed-loop interaction, with a four-layer architecture becoming the mainstream paradigm. While scheduling models for multi-equipment collaboration are maturing, the research frontier has shifted toward DT-driven uncertainty rescheduling and low-carbon strategies, such as equipment ratio optimization and charging management. Core technologies—data fusion, virtual modeling, and reinforcement learning—are increasingly robust. Practical implementations in major hubs like Qingdao and Yangshan ports demonstrate that DT solutions significantly enhance operational efficiency and reduce emissions. Ultimately, DT technology provides a critical pathway for terminals to navigate international carbon regulations and achieve green, high-quality development.","url":"https://doi.org/10.54254/2755-2721/2026.ch33123","authors":["Xinlei Ma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T06:32:11Z","doi":"10.54254/2755-2721/2026.ch33123","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1109/mcomstd.2026.3661167","name":"Load Forecasting of Power System Based on Deep Neural Network and Digital-Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcomstd.2026.3661167","authors":["Jing Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-16T21:09:39Z","doi":"10.1109/mcomstd.2026.3661167","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.55041/ijcope.v2i8.041","name":"Digital Twin Implementation for Probabilistic Construction Schedule Risk Analysis","source":"crossref","abstract":"This paper presents a digital-twin-centred framework for probabilistic construction schedule risk analysis. A live digital twin continuously synchronises physical project data with a virtual model that embeds a Monte Carlo simulation engine fed by PERT (beta) distributions. The architecture is extended to incorporate supply-chain resilience and bullwhip dynamics, hybrid quantum-classical optimization, quantum annealing, and cross-domain analogies with ULD configuration and EV battery SoC/SoH estimation. Each major component is illustrated by a dedicated process flowchart and supporting figures, demonstrating how digital-twin implementation transforms static risk models into continuously updated, decision-ready forecasts Keywords: digital twin implementation; Monte Carlo simulation; PERT distribution; schedule risk analysis; supply-chain resilience; bullwhip effect; hybrid quantum-classical optimization; quantum annealing; ULD configuration; EV battery SoC/SoH; process flowchart","url":"https://doi.org/10.55041/ijcope.v2i8.041","authors":["U Kanade"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T16:14:45Z","doi":"10.55041/ijcope.v2i8.041","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1051/e3sconf/202673202003","name":"Digital twin of an energy-efficient mining enterprise with carbon footprint forecasting","source":"crossref","abstract":"A digital-twin framework is proposed for evaluating energy use and carbon emissions at a mining enterprise. The framework links production and equipment data from Industrial Internet of Things sources with process models and a forecasting module. Its purpose is to relate operating conditions to electricity and fuel consumption and, in turn, to changes in CO 2 emissions. The approach is illustrated with open production and energy data from mining enterprises in Uzbekistan and with several operating scenarios, including increased output and improved energy efficiency.","url":"https://doi.org/10.1051/e3sconf/202673202003","authors":["Faxriddin Barakayev","Nafisa Mansurova","Kamoliddin Abdullaev","Gulnoza Rayimdjanova","Shakhnoza Khayitova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T07:54:26Z","doi":"10.1051/e3sconf/202673202003","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1016/j.crbeha.2026.100221","name":"Multi-modal human digital twin for hydration","source":"openalex","abstract":"Hydration plays a crucial role in maintaining physical and mental wellbeing, yet individuals differ substantially in their daily hydration needs due to variations in diet, physiology, activity, and context. This pilot study explores the feasibility of developing a multi‑modal human digital twin for hydration, integrating continuous real‑world data from urine specific gravity (USG), nutritional intake, wearable‑based physiological signals, and ecological momentary assessments. Three participants were monitored across 20 non‑consecutive days, collecting USG at every toilet visit, logging food and drink consumption, and wearing Garmin VivoSmart5 and Chill+ sensors to capture heart rate, movement, and galvanic skin response. USG proved to be a sensitive hydration marker, revealing consistent diurnal patterns and partial alignment with subjective hydration reports, though substantial variability highlighted the limitations of self‑reported hydration. Multimodal analyses indicated a complex interplay among hydration, diet, physiological signals, and contextual factors, including strong effects of specific beverages such as Aquarius and coffee. Personalized machine‑learning models trained per participant showed reasonable predictive power and outperformed pooled models, underscoring the individualized nature of hydration dynamics. Preliminary in‑silico simulations demonstrated the potential of the digital‑twin to give specific drink recommendations. On the other hand, these also revealed limitations of window‑based modeling that cannot capture cumulative or long-term physiological dynamics, suggesting that the future hybrid approach that embeds mechanistic physiology alongside machine learning is necessary for realistic and actionable hydration digital twins. These findings support the feasibility and promise of a personalized hydration digital twin and lay the groundwork for future expansion toward more comprehensive and physiologically grounded models.","url":"https://doi.org/10.1016/j.crbeha.2026.100221","authors":["Nattapong Thammasan","Tobias Teichmann","Alex van Kraaij","Santiago Gaitan","Ruud van Stiphout"],"tags":["Computer science","Artificial intelligence","Cognitive psychology","Human–computer interaction","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-08","doi":"10.1016/j.crbeha.2026.100221","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1016/j.array.2026.101142","name":"A physics-informed digital twin framework for personalized stress prediction using wearable sensors, machine learning, and Bayesian data assimilation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.array.2026.101142","authors":["Kolade M. Owolabi","Oritoke M. Okeowo","Eben Maré"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T15:46:37Z","doi":"10.1016/j.array.2026.101142","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.1049/icp.2026.0521","name":"A digital twin and STPA integrated framework for defect detection in autonomous driving systems","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0521","authors":["Dekun Zhang","Xiyao Liu","Yimeng Jin","Yiming Guo","Fei Hui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0521","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3403/30506238u","name":"Internet of things (IoT) and digital twin. Best practices for use case projects","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30506238u","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-10T23:40:31Z","doi":"10.3403/30506238u","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:40.504Z"},{"id":"doi:10.3389/frai.2026.1927993","name":"Digital twin-supported behavioral intention in mothers of young children to prevent childhood obesity: a large language model-based intervention study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2026.1927993","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frai.2026.1927993","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1117/1.jbo.31.8.080601","name":"Optical digital twins for disease prevention, diagnosis, therapy, and intervention.","source":"europepmc","abstract":"Significance: Digital twins are transitioning from conceptual models to operational frameworks that link measurement, prediction, and intervention in biomedicine. However, most biomedical digital twin efforts remain fragmented, with limited integration across biological scales, sensing modalities, and clinical decision points. Biophotonics provides a uniquely suited measurement foundation for biomedical digital twins by enabling quantitative, physics-grounded, and longitudinal noninvasive measurements spanning molecular, cellular, tissue, organ, and whole-body scales. These capabilities position photonics as a foundational measurement layer for next-generation biomedical digital twins. Aim: To synthesize current advances and future opportunities in optical digital twins and to establish a unifying framework for how photonic sensing can support digital twin architectures for disease diagnosis, therapy guidance, prevention, continuous monitoring, and interventional healthcare. Approach: This white paper summarizes perspectives presented at the annual meeting of the international society for optics and photonics (SPIE Photonics West), in the session \"Digital Twins as New Approach Methodologies (NAMs) in Biophotonics.\" We review five complementary implementations of the digital twin paradigm: (i) virtual tissue staining for histopathology, which combines label-free optical imaging with machine learning-based inference to generate clinically interpretable representations with uncertainty quantification and validation; (ii) cell-level metabolic digital twins that use autofluorescence and redox imaging to predict patient-specific therapeutic responses in tumor organoids and immune cells under controlled perturbations; (iii) therapeutic digital twin frameworks for radiation therapy, in which Cherenkov imaging and radiation chemistry sensing verify treatment delivery and enable biophysical model correction and personalization; (iv) personalized optical digital twins for continuous monitoring that integrate longitudinal photonic sensing with physiological and contextual data to support early detection, prevention, and adaptive care; and (v) personalized digital twins for interventional healthcare. Results: Across these diverse applications, a common digital twin architecture emerges. Optical measurements define patient state, inference models translate measurements into predictions, therapeutic interventions perturb the system, verification measurements constrain and validate execution, and longitudinal sensing continuously updates the twin over time. The reviewed examples demonstrate that optical measurements can serve as a scalable and biologically relevant data layer linking prediction and intervention across multiple levels of biological organization. Conclusions: Optical digital twins are no longer merely a conceptual aspiration but are emerging as a practical, measurement-driven infrastructure for precision medicine. The primary challenge is no longer feasibility, but rather the integration, interoperability, validation, and uncertainty quantification of digital twin systems capable of operating safely and at scale. Advances in photonic sensing, computational modeling, and clinical translation position optical digital twins to support real-time, patient-specific clinical decision-making across diagnosis, treatment, monitoring, and prevention.","url":"https://doi.org/10.1117/1.jbo.31.8.080601","authors":["Aydogan Özcan","Melissa C. Skala","Brian W. Pogue","Jürgen Popp","Laura Marcu","Colleen E. Clancy"],"tags":["Computer science","Photonics","Medical imaging","Biophotonics","Medical physics"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1117/1.jbo.31.8.080601","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.3390/bioengineering13080920","name":"Patient-Specific Spatio-Temporal False Data Injection Attack Detection for IoMT Using a Graph-GRU Digital Twin and Kalman Innovation Features.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bioengineering13080920","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/bioengineering13080920","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202608.1854.v1","name":"Can Cybernetic Twins Function as Regulators for Sustainable (Sea)Food Systems?","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1854.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1854.v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26144382","name":"AI-Enabled Digital Twin Framework for TSCA-like Anomaly Detection in FPGA-SoC-Based Industrial Cyber-Physical Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144382","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26144382","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1177/19322968261481540","name":"ReplayBG-Web: A Novel Web Interface to Ease the Creation and Use of Digital Twins for Type 1 Diabetes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/19322968261481540","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/19322968261481540","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3389/frobt.2026.1897261","name":"Predictive fatigue-aware human-robot collaboration: a real-time, open-source ROS 2 instantiation of a three-module human-centric digital twin framework on a standard cobot.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1897261","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1897261","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3389/fdgth.2026.1908794","name":"From digital twins to clinically trustworthy twins: a clinical-claim-based validation framework for personalized digital health.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2026.1908794","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1908794","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1186/s42492-026-00229-x","name":"Semantic-guided 3D Gaussian splatting for sparse-view reconstruction in industrial digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s42492-026-00229-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s42492-026-00229-x","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3389/fbioe.2026.1904561","name":"From fragmented neurotechnologies to closed-loop brain health systems: integrating artificial intelligence, digital health, digital twins, and advanced materials for brain disorders.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbioe.2026.1904561","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fbioe.2026.1904561","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1093/jamiaopen/ooag160","name":"Validating medical digital twins for clinical decision support: beyond predictive accuracy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/jamiaopen/ooag160","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/jamiaopen/ooag160","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-10788710/v1","name":"A Unified Mathematical Framework for Physics-Informed Digital Twins in Sustainable Engineering Optimization: Formulations, Convergence, and Pareto Frontiers","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10788710/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10788710/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-10334218/v1","name":"Quantum Diffusion with Attentive Twin-Stream Sparse Spatiotemporal for Cyberattack Detection in Smart Grids","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10334218/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10334218/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/s26123854","name":"Charge Air System in an Experimental Combustion Engine-Combined Simulation Model: A Digital Twin Approach Including Advanced Control Concepts.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123854","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123854","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-10591441/v1","name":"AI Native Manufacturing Operating System for Autonomous Smart Factories Using Digital Twins, Multi Agent Artificial Intelligence, Physics Informed Machine Learning, and Reinforcement Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10591441/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10591441/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.jenvman.2026.130561","name":"Organisational capabilities to navigate the green and digital transition towards industry 5.0.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2026.130561","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.jenvman.2026.130561","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/s00449-026-03369-9","name":"Operationalizing digital twins in biomanufacturing through interoperable process analytical technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00449-026-03369-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00449-026-03369-9","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3389/fphys.2026.1757669","name":"From biaxial tests to cardiac digital twins: a morphomechanics agenda for passive myocardium.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fphys.2026.1757669","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fphys.2026.1757669","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acsptsci.6c00261","name":"Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsptsci.6c00261","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acsptsci.6c00261","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26113430","name":"Correction: Kazemi et al. Toward Smart Railway Infrastructure Predictive and Optimised Maintenance Through Digital Twin (DT) System. &lt;i&gt;Sensors&lt;/i&gt; 2026, &lt;i&gt;26&lt;/i&gt;, 2333.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113430","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113430","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1093/cercor/bhag102","name":"Altered functional connectivity and network efficiency in prenatal depression: an functional near-infrared spectroscopy study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/cercor/bhag102","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/cercor/bhag102","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.maturitas.2026.109043","name":"Digital twins in menopause: a roadmap for integrating endocrine dynamics, multisystem physiology, and precision medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.maturitas.2026.109043","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.maturitas.2026.109043","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1038/s41746-026-02773-5","name":"Neonatal digital twins enable personalized antibiotic dosing for treating suspected sepsis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-026-02773-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-026-02773-5","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.scitotenv.2026.181973","name":"Decoding seasonal urban heat dynamics at neighborhood-scale using explainable deep learning for climate-resilient, digital twin-ready green planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2026.181973","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.scitotenv.2026.181973","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2196/89259","name":"Attitudes Toward Digital Planetary Health Before and After a Lecture Series on Environmental Awareness and Future Visions: Repeated Cross-Sectional Survey Study Regarding Twin Transformation.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/89259","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/89259","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-55893-z","name":"An adversarial-resilient intrusion detection framework for internet of medical things (IoMT) using digital twin-enabled behavioral threat modeling and federated hybrid ensemble learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55893-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-55893-z","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fimmu.2026.1844927","name":"A federated digital twin reveals cytomegalovirus reactivation impairs CAR-T cell therapy via IL-15-mediated cytokine competition in B-Cell lymphoma.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fimmu.2026.1844927","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fimmu.2026.1844927","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.21203/rs.3.rs-10644911/v1","name":"Reliableformer: A Device Aware Framework for Reliable Memristor Transformer Accelerators","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10644911/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10644911/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9808390/v1","name":"Residual Stress and Shape Distortion Management in Polymer Printing of Thin-walled Complex Geometries","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9808390/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9808390/v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.1469.v1","name":"AI-Enabled Digital Twins in Healthcare: Epistemic Foundations, Principles, Progress, and Future Directions","source":"europepmc","abstract":"Digital twins have rapidly entered healthcare discourse, accompanied by ambitious claims regarding personalization, prediction, and decision support. Originating in engineering domains characterized by well-observed, controllable, and mechanistically understood systems, the concept is increasingly being applied to biological, clinical, and organizational settings whose underlying assumptions differ substantially. As a result, the term now encompasses a heterogeneous collection of models, simulations, and artificial intelligence (AI) systems, often without clear specification of what is being represented, what can be inferred, or what actions can legitimately be justified.This review develops a scale-aware framework for evaluating healthcare digital twins. Through a structured analysis spanning cardiovascular disease, diabetes, Alzheimer's disease, maternal–fetal health, addiction, radiology, and hospital operations, we argue that the scientific validity and practical utility of a digital twin depend fundamentally on scale. As applications move from mechanistic physiological systems to individual patients, coupled human systems, sociotechnical settings, and healthcare organizations, the central challenges shift from model fidelity and state estimation to non-identifiability, behavioral adaptation, contested objectives, and governance.Across domains, recurring failure modes arise less from insufficient computational capability than from misalignment among state definitions, uncertainty representation, causal support, decision authority, and governance. We examine the roles of AI in state estimation, prediction, uncertainty quantification, and decision support while highlighting its limits in addressing poorly defined state spaces, non-identifiability, causal ambiguity, and normative questions regarding acceptable actions. We further argue that governance is not an external constraint but a foundational component of healthcare digital twins, shaping accountability, lifecycle oversight, data stewardship, and the legitimacy of decisions informed by digital twin outputs.This review reframes healthcare digital twins not as a single technology but as a family of computational representations whose validity depends on scale, context, purpose, and governance. Future progress will depend less on increasingly sophisticated models than on maintaining alignment among representation, evidence, intervention, and accountability, and on ensuring digital twin ambitions remain commensurate with the epistemic conditions and institutional constraints of the systems they seek to represent. Building on this analysis, the review offers complementary research roadmaps for AI and governance that emphasize explicit state semantics, uncertainty-aware inference, decision-centered evaluation, adaptive oversight, and governance-by-design.","url":"https://doi.org/10.20944/preprints202607.1469.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1469.v1","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26123807","name":"Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123807","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123807","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1038/s41598-026-53863-z","name":"A digital twin and deep-learning ensemble for cyber attack detection in industrial control systems at the IoT edge.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-53863-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-53863-z","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3233/shti260791","name":"Visual Digital Twins for Arthroplasty: Conceptual Dashboards Integrating Patient Clusters and Clinical Pathways.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260791","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260791","addedAt":"2026-09-01T01:47:40.504Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.dib.2026.113146","name":"DAYPSCI: Event-based dataset for anomaly detection through fault injection in PLC-controlled industrial cyber-physical systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.113146","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.113146","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.64898/2026.07.14.738362","name":"Fetal Twin: a mechanistic computational model of fetal physiology for heart-rate-variability biomarker research","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.07.14.738362","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.14.738362","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1109/tpami.2025.3650478","name":"Hierarchical Context Alignment With Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tpami.2025.3650478","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1109/tpami.2025.3650478","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3389/fcvm.2026.1872233","name":"A paradigm shift toward full-cycle management of atrial fibrillation: integrating digital twins and artificial intelligence.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fcvm.2026.1872233","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fcvm.2026.1872233","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3791/71231","name":"A Digital Twin Framework for Proactive Enterprise Management: Research on Operational Decision-making Integrating IoT Data and Computational Modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.3791/71231","authors":["Hongxiao Liu"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3791/71231","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-10173509/v1","name":"Cognitive Supply Chain Twins in Geopolitical Turbulence: A Multi-Agent Reinforcement Learning Architecture for Autonomous Resilience in Emerging Economies","source":"europepmc","abstract":"Abstract Global supply chains are experiencing structurally intensified vulnerability to geopolitical shocks, manifested in port blockades, trade embargoes, and maritime corridor disruptions. Traditional risk management frameworks, anchored in static contingency planning and deterministic models, lack the autonomous adaptive capacity required for systemic resilience in an era of permacrisis. This article presents a Cognitive Supply Chain Twin (CDT) architecture that integrates high-fidelity Digital Twin (DT) environments with Multi-Agent Reinforcement Learning (MARL) algorithms, enabling real-time, prescriptive, and self-adaptive responses to complex geopolitical disruption scenarios. The proposed framework conceptualizes supply chains as Complex Adaptive Systems (CAS) where digital twin environments serve simultaneously as monitoring platforms and experiential training grounds for reinforcement learning agents operating under proximal policy optimization (PPO). Through a comparative matrix analysis across six methodological frameworks—including AHP-Fuzzy Comprehensive Evaluation, Bayesian Networks, System Dynamics-Monte Carlo simulation, Machine Learning Anomaly Detection, Digital Twin Risk Frameworks, and the proposed CDT + RL integration—this study demonstrates the cognitive architecture's superior performance across eleven evaluation dimensions. Simulation results across four geopolitical disruption scenarios indicate that the CDT + RL framework achieves an average operational continuity of 87.4% (vs. 63.9% for conventional approaches), reduces disruption recovery time by 37.8%, and lowers cost impact by 40.6%, with all improvements statistically significant at p","url":"https://doi.org/10.21203/rs.3.rs-10173509/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10173509/v1","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3233/shti260965","name":"Digital Twins for Decision Making: Combining Ambulance and ED Facility Resources.","source":"europepmc","abstract":"","url":"https://doi.org/10.3233/shti260965","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3233/shti260965","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1371/journal.pcbi.1014349","name":"Predictive modeling in biology and medicine: Digital twins and multi-scale modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pcbi.1014349","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pcbi.1014349","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3389/fdgth.2026.1828544","name":"Real-world evidence on data quality in precision oncology platforms: insights from the Molecular Twin Research Umbrella protocol.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2026.1828544","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1828544","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.3390/ma19143150","name":"CTGAN-Based Data Augmentation and XGBoost-LSTM Strength Prediction of CSG.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19143150","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19143150","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.31083/jin50563","name":"Digital Twins in Neurology Care: Evidence, Limitations, and a Path Forward.","source":"europepmc","abstract":"","url":"https://doi.org/10.31083/jin50563","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.31083/jin50563","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.apradiso.2026.112740","name":"MDA reduction in HPGe gamma-ray spectrometry using a digital-twin-based intrinsic background construction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.apradiso.2026.112740","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.apradiso.2026.112740","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.1038/s41598-026-60132-6","name":"A digital twin-driven multi-agent deep reinforcement learning framework for synergistic resource scheduling in revolutionary heritage and sports tourism integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-60132-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-60132-6","addedAt":"2026-09-01T01:47:40.505Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.1751.v1","name":"Poultry Digital Twins Must Earn Their Place in the Barn: Biological Validity, Welfare Value, and Responsible Adoption","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1751.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1751.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202608.1966.v1","name":"Observable Digital Twins and Minimal Metric Configuration for Complex Construction Processes","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202608.1966.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.1966.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10361127/v1","name":"A University Living Lab Framework for Operationalizing Human Centered Automation and Circular Engineering in the Industry 5.0 Twin Transition","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10361127/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10361127/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10094798/v1","name":"Cyber-Physical Seismic Resilience: Integrating Digital Twins and Machine Learning for Performance-Based Earthquake Engineering of CLT and Masonry Structures in High-Seismicity Regions — Lessons from the USA, Japan, and Proposals for Peru","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10094798/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10094798/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.1253.v1","name":"Design of Real-Time Browser Based Platform for Thermal Hydraulic Characterization of a Laboratory Heat Exchanger Using PolyVR","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202607.1253.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1253.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.0157.v1","name":"Heat Transfer–Driven Voxel-Based Simulation: A High-Performance Framework for Urban-Scale 3D Fire Spread","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202607.0157.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.0157.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202606.1902.v1","name":"Digital Twins and Artificial Intelligence for HAZOP Enhancement in Process Safety: A Critical Literature Review","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.1902.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1902.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10822537/v1","name":"Effect of Micro-Slats on Airfoil Lift and Stall Behavior","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10822537/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10822537/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202605.0060.v1","name":"Low-Code Digital Twin Framework with Standards-Based IEQ Analytics: Generating Fabric-First Oriented Retrofit Decision-Making for Existing Buildings in Hot Arid Climate","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0060.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0060.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.07.15.738683","name":"Quantitative Susceptibility Mapping for Differentiating Hydroxyapatite and Calcium Oxalate Breast Calcifications at 3T: A Phantom Study","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.07.15.738683","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.15.738683","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10367047/v1","name":"TCGA-Informed Digital Twins for Safe Offline Reinforcement Learning in Chemotherapy Dose Optimization","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10367047/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10367047/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.0697.v1","name":"The Impact of Innovation on the Performance and Safety of Medical Electronic Devices","source":"preprints","abstract":"The rapid transition to digital medicine has transformed isolated electronic medical devices into intelligent, interconnected ecosystems capable of predictive analytics and continuous monitoring. The expansion of hyperconnectivity introduces significant vulnerabilities, including increased cyber risks, hardware bottlenecks, data fragmentation, and interoperability challenges. This study investigates the importance of technical creativity by integrating artificial intelligence (AI), edge computing, and Internet of Medical Things (IoMT) architectures to improve diagnostic accuracy, operational reliability, and safety of medical devices through electronic technologies. Using a comprehensive framework analysis, the research evaluates advanced architectural paradigms—such as digital twin simulations, federated learning, adaptive controls, and lightweight cryptographic solutions—along with emerging epistemic sensing concepts such as orthosensors and pseudo-ontosensors. The findings demonstrate that software algorithms, AI models, and cybersecurity frameworks now consume over half of modern biomedical R D investments, with AI-based surgical platforms achieving up to a 25% reduction in operative times and a 30% decrease in intraoperative complications. It is concluded that achieving sustainable clinical adoption requires a balance between rapid technological innovation and standardized regulatory governance, robust cybersecurity, human-centered UI/UX design, and ongoing interdisciplinary collaboration.","url":"https://doi.org/10.20944/preprints202608.0697.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0697.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10156845/v1","name":"A Dual-Stream Deep Learning Model for Full-Cycle Landslide Prediction and Intelligent Risk-Informed Decision-Making","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10156845/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10156845/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.2365.v1","name":"From Sound Abduction to Governed Intervention: A Closed-Loop Architecture for Medical Digital Twins in Multiple Sclerosis Care","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.2365.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.2365.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202606.1806.v1","name":"Cyber-Physical Systems as the Generative Architecture for Digital Twins in Regulated Quality Assurance Infrastructure","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.1806.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1806.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.64898/2026.07.01.26356827","name":"Personalized planning of cardiac resynchronization therapy through integration of coronary sinus geometry, clinical data, digital twins, and machine learning: visualization, stratification, and optimization","source":"preprints","abstract":"Background Cardiac resynchronization therapy (CRT) fails in 30% of patients, often due to suboptimal left ventricular pacing site (LVPS) selection. Current practice lacks tools for pre-procedural, patient-specific LVPS optimization within the accessible coronary sinus (CS) tributaries. This study aimed to develop a digital twin and an explainable ML-based clinical decision support framework to address this issue. Methods Personalized 3D cardiac models incorporating ventricular anatomy, myocardial fibrosis, and CS anatomy were constructed from CT and LGE-MRI for 74 CRT candidates. Finite-element Eikonal simulations of biventricular pacing generated patient-specific electrophysiological features at candidate LVPS. A Machine Learning (ML) classifier was trained on a hybrid feature set of pre-procedural clinical variables and model-derived indices, validated by leave-one-out cross-validation. SHAP analysis provided a physiologically interpretable rationale for each prediction. The framework was applied to a pilot cohort of 19 patients with reconstructed 3D CS anatomy to generate a spatial likelihood map of CRT response across all clinically implantable pacing sites within each patient’s CS. Results The ML classifier outperformed the reference Feeny clinical calculator under LOO-CV (accuracy 0.78 vs 0.58; F1-score 0.75 vs 0.43), AUC=0.78, sensi-tivity=0.80, specificity=0.77. Bootstrap analysis yielded mean AUC=0.85 (95% CI 0.70–0.95). In the pilot CS cohort, the framework identified that 8 of 13 clinical non-responders had no accessible CS site predicted to yield a positive response, supporting redirection towards alternative pacing strategies. In the remaining 5, alternative implantable sites with high predicted response probability were identified. SHAP analysis confirmed that dominant predictors were patient-specific in their relative contributions, supporting individualized over heuristic-based LVPS selection. Conclusion This pilot study demonstrates the feasibility of a digital twin and explainable ML framework as a pre-procedural clinical decision support tool for CRT planning, stratifying patients and identifying optimal implantable sites with transparent anatomical rationale. Prospective validation and regulatory evaluation are required before clinical deployment.","url":"https://doi.org/10.64898/2026.07.01.26356827","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.01.26356827","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202605.0983.v1","name":"Financial Digital Twins and Conversational AI in Robo- Advisory: Evidence from a Scenario-Based Randomized Experiment","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0983.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0983.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202607.1833.v1","name":"From Virtual Tours to Digital Twins: Expectation Calibration as the Missing Link Between Hospitality Communication, Distribution, and Service Quality","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1833.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202607.1833.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202606.1289.v1","name":"Co-Creative Processes for the Circular Management of Solid Waste Through Digital Twins: A Framework for Progreso, Hidalgo, Mexico","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.1289.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.1289.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10413912/v1","name":"Digital Twins on the Move: A Technology-Transfer Framework from Pilbara's Autonomous Fleets to Andean Mining in Peru","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10413912/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10413912/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10527656/v1","name":"Explainable Multi-Agent AI Systems for Intelligent Software Engineering and Business Automation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10527656/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10527656/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.07.07.737052","name":"The Virtual Child Brain: Modeling Neuromaturational Trajectories","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.07.07.737052","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.07.737052","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10772544/v2","name":"Cryotwin: Sensitivity Analysis, Validation, and Application of a Melting Probe Performance Model","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10772544/v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10772544/v2","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9648209/v1","name":"Comparison of Vertical Control Among Two Types of Mandibular Advancement Clear Aligner Systems and a Conventional Twin-Block Appliance in Growing Skeletal Class II Patients: A Cephalometric and Digital Model Study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9648209/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9648209/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.05.12.723437","name":"Report on pre-validation of an animal-free alternative method (NAM) for regulatory safety testing: InFiniteLungDT, an in-vitro-learned digital twin for the prediction of material-triggered chronic neutrophilic lung inflammation","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.05.12.723437","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.12.723437","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9728551/v1","name":"Physical model of deformation and rupture of blood vessels in the human cardiovascular system","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9728551/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9728551/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8969460/v1","name":"Leveraging Sustainable Housing through Artificial Intelligence Enabled Dynamic Capability, Technological Self Efficacy, Digital Twin Adoption and Data Driven Culture in Netherlands","source":"preprints","abstract":"Abstract Drawing on dynamic capability theory, social cognitive theory, and socio-technical system theory, this research aims to examine the mediating roles of technological self-efficacy and digital twin adoption in the relationship between AI-enabled dynamic capability and sustainable housing in the Dutch housing sector. Furthermore, this study examines the moderating effect of data-driven culture on the relationships among AI-enabled dynamic capability, technological self-efficacy, and digital twin adoption. The structured, closed-ended questionnaire was distributed to the senior manager of housing projects using a time-lagged, three-wave (T1, T2, T3) research approach, in which data were collected on AI-enabled dynamic capability and data-driven culture at T1. After four weeks, data work was collected on technological self-efficacy and digital twin adoption. Similarly, at T3, after 4 weeks, data collection on sustainable housing was conducted. The final number of complete questionnaires was 246, which was utilised for the final analysis. Partial least squares structural equation modeling (PLS-SEM) was employed for data analysis and hypothesis testing. The results reveal a significant and positive effect of AI-enabled dynamic capability on sustainable housing. Furthermore, the mediating role of technological self-efficacy and digital twin adoption between AI-enabled dynamic capability and sustainable housing is also established. In addition, a data-driven culture moderates the relationships among AI-enabled dynamic capability, technological self-efficacy, and digital twins in the Dutch housing sector.","url":"https://doi.org/10.21203/rs.3.rs-8969460/v1","authors":["Muhammad Hussain","Usman Ahmad","Ngan Thi Luong","Abdul Rauf","Arsalan Mujahid Ghouri"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8969460/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9211787/v1","name":"Lattice-based Phase Change Thermal Management for Aircraft Electromechanical Actuators","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9211787/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9211787/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10772544/v1","name":"Cryotwin: Sensitivity Analysis, Validation, and Application of a Melting Probe Performance Model","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10772544/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10772544/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.08.19.26360827","name":"Natural History of Fibrotic Interstitial Lung Disease using AI-driven Test-free Assessment of Routine EHR","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.08.19.26360827","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.19.26360827","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202605.0728.v1","name":"From Plausible Narrative to Sound Abduction: A Governed Abductive Architecture for Medical Digital Twins in Multiple Sclerosis Care","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0728.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0728.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10364305/v1","name":"LiDAR-Guided Narrow-Front Reef-Boring Robotics for Selective Platinum Extraction Beyond 3 km Depth: A Comparative Technology-Transfer Framework for Underground Mining and Urban Subsurface Infrastructure in Peru","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10364305/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10364305/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.22541/authorea.15008027/v1","name":"An open eco-acoustic framework for pre-deployment assessment of drone noise exposure to wildlife","source":"preprints","abstract":"","url":"https://doi.org/10.22541/authorea.15008027/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/authorea.15008027/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.0814.v1","name":"Explainable and Prescriptive AI for Cyber-Physical NVH Quality Control in Smart Manufacturing: A Critical Review and Research Framework","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0814.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0814.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-10681235/v1","name":"A community model for integrated studies of trans-crustal magmatic system","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10681235/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10681235/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202604.1734.v1","name":"IoT–Cloud-Based Control of a Mechatronic Production Line Assisted by a Dual Cyber-Physical Robotic System within Digital Twin, AI and Industry/Education 4.0/5.0 Frameworks","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1734.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1734.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9709885/v1","name":"Physics-Informed Neural Networks for Glucose-Insulin Digital Twins Leveraging Federated Learning and IoBNT","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9709885/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9709885/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9923283/v1","name":"A Practical Network Simulation for Civil and Defense Resilience Communications","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9923283/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9923283/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9524489/v1","name":"An Institutional and Resource-Based Inquiry into the Contested Sustainability of Corporate Digital Transformation and the Green-Digital Paradox","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9524489/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9524489/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-10587773/v1","name":"Artificial Intelligence for Women's Empowerment in Saudi Higher Education: A Human-Centred and Ethical Framework","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10587773/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10587773/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9616117/v1","name":"Personalized Respiratory Digital Twins: Supporting Clinical Decision-Making via Virtual What-if Analysis of Ventilator Settings","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9616117/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9616117/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.08.26.747036","name":"Chemi-Proteome Language Attention Network Empowers Fragment-Based Ligand Interactome and Binding Sites Discovery with Evidence","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.08.26.747036","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.26.747036","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-9787018/v1","name":"Design and Virtual-Twin Validation of an Energy-Aware S-Band Communication Subsystem for a 6U CubeSat (30 × 20 × 10 cm)","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9787018/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9787018/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8919479/v2","name":"Analog Diffusion Models","source":"preprints","abstract":"Abstract Analog and optical computing hardware offers orders-of-magnitude efficiency gains for AI inference, but exploiting those gains requires running AI workloads on such hardware while remaining compatible with the model ecosystem. This combination has proved elusive. Diffusion models, key workloads in generative AI, present this challenge acutely: their iterative inference is compute- and energy-intensive, yet prior analog implementations either modify the model formulation or remain partially digital, limiting compatibility or efficiency. Our key observation is a fixed-point correspondence between the physical equilibration dynamics of analog hardware and implicit diffusion inference. We introduce Analog Diffusion Models (ADMs) that exploit this correspondence to execute diffusion inference fully on analog hardware while keeping the model and its training conventional and fixed-point-free. On an iterative analog optical computer with 2,304 programmable weights, we demonstrate fully analog generation of two-dimensional and latent-space distributions, with measured convergence times of 10–15 µs per step. Digital-twin simulations across convolutional and transformer architectures (32M–13B parameters) show that the algorithm scales: ADMs match standard generation quality with up to 16× fewer diffusion steps, sufficient to offset the additional fixed-point iterations per step, preserving system-level efficiency gains. These results raise the possibility that exploiting structural alignment between hardware dynamics and algorithm requirements, rather than algorithm redesign, may offer a broader and practical route to realizing analog computing's efficiency potential across AI workloads.","url":"https://doi.org/10.21203/rs.3.rs-8919479/v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8919479/v2","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.04.05.716446","name":"Energetic analysis of Na  <sup>+</sup>  /K  <sup>+</sup>  -ATPase using bond graphs","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.04.05.716446","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.04.05.716446","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.0276.v1","name":"From Single Platforms to Coordinated Fleets: Safety- and Security-Bounded Autonomous Multi-Robot Systems for Nuclear Decommissioning in Europe","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202608.0276.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0276.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.21203/rs.3.rs-8915239/v1","name":"Implementation of residual stress models in a technological material removal simulation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8915239/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8915239/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-8951862/v1","name":" Integrated electromagnetic–circuit digital twin modelling for constraint-consistent optimal operation in heterogeneous multi-receiver wireless power transfer systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8951862/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8951862/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.20944/preprints202608.0987.v1","name":"Multiphysics, Machine Learning, and Physics Informed Approaches to Fault Reactivation During Geological CO₂ Storage: A Critical Review and Research Roadmap","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0987.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0987.v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-10741245/v1","name":"World-First Realization of Dynamical Quasi-Superconductivity in Phase-Engineered Active Conductors Bypassing Ambient Thermal Dissipation Limits","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10741245/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10741245/v1","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"doi:10.64898/2026.05.17.725750","name":"A Patient-Specific Electrical Twin of Intracranial Pressure Dynamics Validated by Clinical Infusion Tests","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.05.17.725750","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.05.17.725750","addedAt":"2026-09-01T01:47:40.506Z","updatedAt":"2026-09-01T01:47:42.460Z"},{"id":"oa:W3209688096","name":"Digital twins in agri-food : Societal and ethical themes and questions for further research","source":"openalex","abstract":"Digital Twins are computational representations of both living and non-living entities and processes, which can be used to analyse and simulate interventions in these entities and processes. When developing Digital Twins, it is important to anticipate on the societal, ethical and safety impacts they may have. Since in the agri-food domain Digital Twins are still in its infancy, it is possible to include societal values from the beginning onwards, during the research and development process. In this paper, we present four themes (i.e. resources, representations, actions and implementations) to organise the anticipation of and reflection on potential impacts of Digital Twins in the agri-food domain. Using insights from the smart farming literature, we assess for each theme which issues and questions require further research and attention, in order to develop an agenda for responsible research and innovation on Digital Twins.","url":"https://doi.org/10.1080/27685241.2021.1989269","authors":["Simone van der Burg","Sanneke Kloppenburg","E.J. Kok","Mariska van der Voort"],"tags":["Anticipation (artificial intelligence)","Theme (computing)","Psychological intervention","Domain (mathematical analysis)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1080/27685241.2021.1989269","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7156660254","name":"Digital twins in urological oncology and surgery: A review of emerging applications","source":"europepmc","abstract":"BACKGROUND: Digital twin technology represents a transformative approach in healthcare, creating virtual replicas of physical entities that enable real-time data integration, predictive modelling, and personalised treatment strategies. In urology, this emerging technology offers unprecedented opportunities to optimise patient care through simulation-based decision-making. AIM: This narrative review comprehensively examines current applications of digital twin technology in urology, evaluates its clinical utility across various urological conditions, and identifies key challenges limiting its widespread implementation. METHOD: A comprehensive search was conducted across PubMed, Web of Science, and Scopus databases for literature published between January 2020 and January 2026. Search terms included digital twin, virtual twin, urology, uro-oncology, prostate cancer, renal surgery, and bladder dysfunction. Studies focusing on the development, validation, and clinical implementation of digital twins in urological practice were included. RESULTS: Digital twin technology demonstrates significant potential in uro-oncology for treatment planning, surgical navigation, and disease progression monitoring. Key applications include patient-specific tumour growth simulation in prostate cancer, three-dimensional anatomical modelling for partial nephrectomy, and bladder function prediction in outlet obstruction. Integration with artificial intelligence enhances predictive accuracy and enables real-time surgical guidance. CONCLUSION: Digital twin technology represents a paradigm shift towards precision urology, though challenges in data integration, computational requirements, validation, and ethical considerations must be addressed before routine clinical implementation. Future developments should focus on standardisation, regulatory frameworks, and prospective clinical validation studies.","url":"https://doi.org/10.1016/j.ejso.2026.111849","authors":["David B. Olawade","Emmanuel O. Oisakede","Sandra Chinaza Fidelis","Muyiwa Ademola Ogunbona","Babajide David Makanjuola","Raphael Igbarumah Ayo Daniel"],"tags":["Medicine","Transformative learning","Limiting","Narrative review","Data sharing"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1016/j.ejso.2026.111849","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"oa:W3187709524","name":"Towards the implementation of the Digital Twin in CMM inspection process: opportunities, challenges and proposals","source":"openalex","abstract":"The use of Digital Twin (DT) is adopted by manufacturers and have positive effects on the product manufacturing process. The aim of this paper is to define a Coordinate Measuring Machine (CMM) inspection DT model, based on inspection process digitalized functionalities, from one side, and Industry 4.0 opportunities (Digital thread, Big data, etc.), from the other side. A review about DT definition, is firstly presented. Secondly, we review related studies based on existing DT orientations and usages for CMM inspection. Thirdly, challenges related to the variation management are presented. Finally, a discussion about possible DT functionalities and opportunities is conducted then a CMM inspection DT model is presented.","url":"https://doi.org/10.1016/j.promfg.2021.07.033","authors":["Raoudha Gaha","Alexandre Durupt","Benoît Eynard"],"tags":["Process (computing)","Manufacturing engineering","Engineering","Engineering drawing","Thread (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.promfg.2021.07.033","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4386601326","name":"Port Digital Twin Development for Decarbonization: A Case Study Using the Pusan Newport International Terminal","source":"openalex","abstract":"The maritime industry is a major carbon emission contributor. Therefore, the global maritime industry puts every effort into reducing carbon emissions in the shipping chain, which includes vessel fleets, ports, terminals, and hinterland transportation. A representative example is the carbon emission reduction standard mandated by the International Maritime Organization for international sailing ships to reduce carbon emissions this year. Among the decarbonization tools, the most immediate solution for reducing carbon emissions is to reduce vessel waiting time near ports and increase operational efficiency. The operation efficiency improvement in maritime stakeholders’ port operations can be achieved using data. This data collection and operational efficiency improvement can be realized using a digital twin. This study develops a digital twin that measures and reduces carbon emissions using the collaborative operation of maritime stakeholders. In this study, the authors propose a data structure and backbone scheduling algorithm for a port digital twin. The interactive scheduling between a port and its vessels is investigated using the digital twin. The digital twin’s interactive scheduling for the proposed model improved predictions of vessel arrival time and voyage carbon emissions. The result of the proposed digital twin model is compared to an actual operation case from the Busan New Port in September 2022, which shows that the proposed model saves over 75 % of the carbon emissions compared with the case.","url":"https://doi.org/10.3390/jmse11091777","authors":["Jeong-On Eom","Jeong-Hyun Yoon","Jeong-Hum Yeon","Sewon Kim"],"tags":["Port (circuit theory)","Scheduling (production processes)","Twin cities","Greenhouse gas","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-11","doi":"https://doi.org/10.3390/jmse11091777","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3142039076","name":"Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach","source":"openalex","abstract":"Digitalization and industry 4.0 technologies promise to provide many novel opportunities and benefits to industrial firms, such as increased product quality, process reliability, and improved flexibility and productivity. Although digitalization shows great potential from a technological perspective, many process industry firms still face challenges in utilizing it for process innovations. Hence, this study aims to understand how process industry firms develop and implement new process innovations today and identify improvement opportunities through the better adoption and implementation of digitalization. The study adopted a multiple case study design in two steel manufacturing firms and developed a framework for building digitally-enabled process innovation using dynamic capabilities. The framework consists of 19 dynamic capabilities in total: 8 related to traditional process innovation and 11 related to digitally enabled process innovation. The study found four key challenges in process innovation (i.e., poor data strategy and readiness, lack of standardisation practices for change, competence and culture gaps, and ad-hoc problem solving) and four key enablers for digitally-enabled process innovation (i.e., infrastructure and methodological definition, preparation for predictive and analytical readiness, proactive management practices, and plan for a digital matureness for each function and department). The study's detailed empirical insights provide new understandings regarding required dynamic capabilities for the smoother transformation of a firm from the traditional process innovation to the digitally enabled process innovation. The dynamic capabilities are limitedly explored in the research of the process industries in the context of process innovation and digitalization. Thus, this study makes essential contributions to the theory of process innovation in process industries and strategic management by providing rich empirical insights from the steel sector.","url":"https://doi.org/10.1016/j.technovation.2021.102256","authors":["Koteshwar Chirumalla"],"tags":["Process (computing)","Process management","Dynamic capabilities","Flexibility (engineering)","Innovation management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-07","doi":"https://doi.org/10.1016/j.technovation.2021.102256","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4226290058","name":"A Comprehensive Review of Power Converter Topologies and Control Methods for Electric Vehicle Fast Charging Applications","source":"openalex","abstract":"Wide-scale adoption and projected growth of electric vehicles (EVs) necessitate research and development of power electronic converters to achieve high power, low-cost, and reliable charging solutions for the EV battery. This paper presents a comprehensive review of EV off-board chargers that consist of ac-dc and dc-dc power stages from the power network to the EV battery. Although EV chargers are categorized into two types, namely, on-board and off-board chargers, it is essential to utilize off-board chargers for dc fast and ultra-fast charging so that volume and weight of EV can be reduced significantly. Here, we discuss the state-of-the-art topologies and control methods of both ac-dc and dc-dc power stages for off-board chargers, focusing on technical details, ongoing progress, and challenges. In addition, most of the recent multiport EV chargers integrating PV, energy storage, EV, and grid are presented. Moreover, comparative analysis has been carried out for the topologies and the control schemes of ac-dc rectifiers, dc-dc converters, and multiport converters in terms of architecture, power and voltage levels, efficiency, bidirectionality, control variables, advantages, and disadvantages which can be used as a guideline for future research directions in EV charging solutions.","url":"https://doi.org/10.1109/access.2022.3166935","authors":["Md Safayatullah","Mohamed Tamasas Elrais","Sumana Ghosh","Reza Rezaii","Issa Batarseh"],"tags":["Converters","Battery (electricity)","Electrical engineering","Network topology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3166935","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4378084601","name":"Educational Case Studies: Creating a Digital Twin of the Production Line in TIA Portal, Unity, and Game4Automation Framework","source":"openalex","abstract":"In today's industry, the fourth industrial revolution is underway, characterized by the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data. One of the key pillars of this revolution is the technology of digital twin, which is rapidly gaining importance in various industries. However, the concept of digital twins is often misunderstood or misused as a buzzword, leading to confusion in its definition and applications. This observation inspired the authors of this paper to create their own demonstration applications that allow the control of both the real and virtual systems through automatic two-way communication and mutual influence in context of digital twins. The paper aims to demonstrate the use of digital twin technology aimed at discrete manufacturing events in two case studies. In order to create the digital twins for these case studies, the authors used technologies as Unity, Game4Automation, Siemens TIA portal, and Fishertechnik models. The first case study involves the creation of a digital twin for a production line model, while the second case study involves the virtual extension of a warehouse stacker using a digital twin. These case studies will form the basis for the creation of pilot courses for Industry 4.0 education and can be further modified for the development of Industry 4.0 educational materials and technical practice. In conclusion, selected technologies are affordable, which makes the presented methodologies and educational studies accessible to a wide range of researchers and solution developers tackling the issue of digital twins, with a focus on discrete manufacturing events.","url":"https://doi.org/10.3390/s23104977","authors":["Michal Balla","Oto Haffner","Erik Kučera","Ján Cigánek"],"tags":["Context (archaeology)","The Internet","Computer science","Engineering","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-22","doi":"https://doi.org/10.3390/s23104977","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4210255334","name":"A Review of SQL vs NoSQL Database for Nuclear Reactor Digital Twin Applications: With Example MongoDB Based NoSQL Database for Digital Twin Model of a Pressurized-Water-Reactor Steam-Generator","source":"openalex","abstract":"Abstract In this paper a summary of the differences between structured query language (SQL) based traditional relational database management systems (RDBMS) and recently popular NoSQL based database are presented. The importance of selecting a NoSQL database for the implementation of digital Twin (DT) framework for nuclear reactor predictive maintenance has been discussed. Example of commercially available MongoDB based NoSQL database implementation with storing data from various sources: such as from virtual time-series temperature measurements (based on finite element-based heat transfer models) at thousands of nodal locations and from real sensor measurements (from continuous online monitoring based active ultrasonic sensors and from non-continuous nondestructive testing (NDT) based eddy current measurements is demonstrated.","url":"https://doi.org/10.1115/imece2021-73153","authors":["Subhasish Mohanty","Thomas W. Elmer","Sasan Bakhtiari","Richard Vilim"],"tags":["NoSQL","Database","Computer science","SQL","Relational database"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-01","doi":"https://doi.org/10.1115/imece2021-73153","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7131129666","name":"Prospects of Digital Twin Systems for Smart Irrigation: A Comprehensive Review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s41101-026-00492-2","authors":["Mahroo Aghaabbasi","Fatemeh Ashraf Ganjouei"],"tags":["Irrigation","Computer science","Transformative learning","Digital Revolution","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-23","doi":"https://doi.org/10.1007/s41101-026-00492-2","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4391380591","name":"Digital product passports as enablers of digital circular economy: a framework based on technological perspective","source":"openalex","abstract":"Abstract Taking into consideration the existing Industry 4.0 infrastructures and the rise of Industry 5.0 (I5.0), more and more solutions are being developed, aiming towards increased environmental consciousness through advanced technologies, and human centricity. However, there are ongoing requirements on data traceability, and access to the related actors, to ensure the establishment of sustainable solutions, within the context of a digital circular economy (DCE) environment. Digital product passports (DPPs) constitute such novel technological solution that can enable the transition toward DCE and sustainable I4.0 and I5.0, as digital identities that are assigned to physical products, capable of tracing their lifecycles through data such as their technical specifications, usage instructions, and repair and maintenance information. Although the respective research community has started providing a thorough analysis of DPPs potential to constitute a CE enabler, their technical requirements are still unclear. As part of our contribution to this issue, we propose a fundamental CE framework with integrated DPP characteristics, with the potential of being adapted in different sector stages for the generation and distribution of DPPs both for stakeholders and consumers. The corresponding solution is further supported through a systematic literature review that follows a technological approach to the DPPs implementation.","url":"https://doi.org/10.1007/s11235-024-01104-x","authors":["Konstantinos Voulgaridis","Θωμάς Λάγκας","Constantinos Marios Angelopoulos","Alexandros–Apostolos A. Boulogeorgos","Vasileios Argyriou","Panagiotis Sarigiannidis"],"tags":["Perspective (graphical)","Circular economy","Computer science","Product (mathematics)","Digital economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-31","doi":"https://doi.org/10.1007/s11235-024-01104-x","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2782072807","name":"Engineering Design with Digital Thread","source":"openalex","abstract":"Digital Thread is a data-driven architecture that links together information generated from across the product lifecycle. Though Digital Thread is gaining traction as a digital communication framework to streamline design, manufacturing, and operation processes in order to more efficiently design, build, and maintain engineering products, a principled mathematical formulation describing the manner in which Digital Thread can be used for critical design decisions remains absent. The contribution of this paper is to present such a formulation from the context of a data-driven design and decision problem under uncertainty. This formulation accounts for the fact that the design process is highly iterative and not all information is available at once. Output design decisions are made not only on what data to collect but also on the costs and benefits involved in experimentation and sensor instrumentation to collect that data. The mathematical formulation is illustrated through an example design of a structural fiber-steered composite component. In this example, the methodology highlights how different sequencing of small-scale experimentation with manufacturing and deployment lead to different designs and different associated costs.","url":"https://doi.org/10.2514/1.j057255","authors":["Victor Singh","Karen Willcox"],"tags":["Thread (computing)","Computer science","Iterative design","Engineering design process","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-10-01","doi":"https://doi.org/10.2514/1.j057255","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2979747277","name":"Manufacturing big data ecosystem: A systematic literature review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2019.101861","authors":["Yesheng Cui","Sami Kara","Ka Ching Chan"],"tags":["Big data","Workflow","Data science","Computer science","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-08","doi":"https://doi.org/10.1016/j.rcim.2019.101861","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4223938213","name":"Design Principles for Shared Digital Twins in Distributed Systems","source":"openalex","abstract":"Abstract Digital Twins offer considerable potential for cross-company networks. Recent research primarily focuses on using Digital Twins within the limits of a single organization. However, Shared Digital Twins extend application boundaries to cross-company utilization through their ability to act as a hub to share data. This results in the need to consider additional design dimensions which help practitioners design Digital Twins tailored for inter-company use. The article addresses precisely that issue as it investigates how Shared Digital Twins should be designed to achieve business success. For this purpose, the article proposes a set of design principles for Shared Digital Twins stemming from a qualitative interview study with 18 industry experts. The interview study is the primary data source for formulating and evaluating the design principles.","url":"https://doi.org/10.1007/s12599-022-00751-1","authors":["Hendrik Haße","Hendrik van der Valk","Frederik Möller","Boris Otto"],"tags":["Set (abstract data type)","Computer science","Knowledge management","Engineering","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-15","doi":"https://doi.org/10.1007/s12599-022-00751-1","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4389041371","name":"A Review of Research of Digital Twin Technology for CNC Machine Tools","source":"openalex","abstract":"As manufacturing systems developed in the direction of digitization, networking and intelligence, digital twin technology has been developed so as to enhance communication between real machining and simulation. CNC machine tools equiped with digital twin technology can be seen as a kind of CNC machine tools in a virtual environment with digitalization and networking as the core, and is an important way to realize the intelligence and automation of CNC machine tools. The development of research on digital twin technology in CNC machining is reviewed in this paper, and the future development trend is prospected by combining the current research hotspots. The whole content can be divided into the following parts. First, the basic concept of digital twin CNC machine tools is introduced. Then, the related research at home and abroad is explained and analyzed from the aspects of error prediction, parameter optimization, real-time monitoring and troubleshooting, etc. Finally, the current problems are pointed out and future development trends and research directions are proposed, which provide some references to promote the realm of future manufacturing and also play a pivotal role in the exploration and implementation of digital twin technology.","url":"https://doi.org/10.1109/iai59504.2023.10327582","authors":["Weichong Ye","Cong Geng","Han Zhang","Jinjie Wang","Dehao Meng"],"tags":["Digitization","Numerical control","Troubleshooting","Machine tool","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-21","doi":"https://doi.org/10.1109/iai59504.2023.10327582","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2009026858","name":"A review of global satellite-derived snow products","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.asr.2011.12.021","authors":["Allan Frei","Marco Tedesco","Shihyan Lee","James L. Foster","Dorothy K. Hall","Richard Kelly","David A. Robinson"],"tags":["Snow","Northern Hemisphere","Environmental science","Arctic","Satellite"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2011-12-29","doi":"https://doi.org/10.1016/j.asr.2011.12.021","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4399251643","name":"Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement","source":"openalex","abstract":"The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in application areas that are limited by data quality and availability, as well as costly efforts for generating urban scenarios and design alternatives. As an emerging research area in deep learning, Generative Artificial Intelligence (AI) models have demonstrated their unique values in data and code generation. This survey paper aims to explore the innovative integration of generative AI techniques and urban digital twins to address challenges in the realm of smart cities in various urban sectors, such as transportation and mobility management, energy system operations, building and infrastructure management, and urban design. The survey starts with the introduction of popular generative AI models with their application areas, followed by a structured review of the existing urban science applications that leverage the autonomous capability of the generative AI techniques to facilitate (a) data augmentation for promoting urban monitoring and predictive analytics, (b) synthetic data and scenario generation, (c) automated 3D city modeling, and (d) generative urban design and optimization. Based on the review, this survey discusses potential opportunities and technical strategies that integrate generative AI models into the next-generation urban digital twins for more reliable, scalable, and automated management of smart cities.","url":"https://doi.org/10.48550/arxiv.2405.19464","authors":["Haowen Xu","Olufemi A. Omitaomu","Soheil Sabri","Zlatanova, Sisi","Xiao Li","Yongze Song"],"tags":["Smart city","Generative grammar","Computer science","Generative model","Survey data collection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-29","doi":"https://doi.org/10.48550/arxiv.2405.19464","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4225145878","name":"Collaboration and Risk in Building Information Modelling (BIM): A Systematic Literature Review","source":"openalex","abstract":"Building information modelling (BIM) has become increasingly popular in construction projects in recent years. Simultaneously, project management has received more attention from academics and practitioners worldwide. Many studies have suggested that perceiving collaboration and risk are critical for successful construction project management. This study investigates the current status and future trends in building information modeling (BIM) literature from the Web of Science database. This review systematically uses bibliometric and systematic literature review (SLR) methods through co-occurrence and co-citation analysis. First, 650 academic documents were retrieved from the Web of Science database. Then, co-occurrence and co-citation analyses were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant keywords, productive authors, and important journals have been highlighted. The prominent research topics within the literature on building information modelling focus on the following topics: collaborative in BIM, integration of BIM, GIS and Internet of Things (IoT), barriers to the integration of BIM, sustainability and BIM, and risk assessment and uncertainty. Finally, the potential research directions are developing towards digital twin technology, integration of BIM and AI, and Augmented Reality (AR) and BIM. The presented findings of only 88 articles discuss the collaboration and risk issue in BIM for the construction industry and thus confirms the need for more studies on this topic to enhance the chances of successfully building information modelling projects. The review focuses only on the academic documents retrieved from the Web of Science database, thus restricting the coverage of the reviewed literature relating to building information modelling collaboration and risk.","url":"https://doi.org/10.3390/buildings12050571","authors":["Kherun Nita Ali","Hamed H. Alhajlah","Mukhtar A. Kassem"],"tags":["Building information modeling","Computer science","Citation","Systematic review","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-28","doi":"https://doi.org/10.3390/buildings12050571","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4293768889","name":"Digital Twins: From Conceptual Views to Industrial Applications in the Electrical Domain","source":"openalex","abstract":"This article reviews various conceptual views behind the digital twins paradigm, highlights software technologies to develop digital twins, analyzes the use of digital twins during the lifecycle of industrial assets, and discusses a generic scenario from the electricity domain.","url":"https://doi.org/10.1109/mc.2022.3156847","authors":["Giovanna Di Marzo Serugendo","Anne-Françoise Cutting-Decelle","L. Guise","T. Cormenier","Imran Khan","Luc Hossenlopp"],"tags":["Domain (mathematical analysis)","Conceptual framework","Conceptual model","Electricity","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-29","doi":"https://doi.org/10.1109/mc.2022.3156847","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2995697145","name":"Review and Categorization of Digital Applications in the Energy Sector","source":"openalex","abstract":"Digitalization is a transformation process which has already affected many parts of industry and society and is expected to yet increase its transformative speed and impact. In the energy sector, many digital applications have already been implemented. However, a more drastic change is expected during the next decades. Good understanding of which digital applications are possible and what are the associated benefits as well as risks from the different perspectives of the impacted stakeholders is of high importance. On the one hand, it is the basis for a broad societal and political discussion about general targets and guidelines of digitalization. On the other hand, it is an important piece of information for companies in order to develop and sustainably implement digital applications. This article provides a structured overview of potential digital applications in the German energy (electricity) sector, including the associated benefits and the impacted stakeholders on the basis of a literature review. Furthermore, as an outlook, a methodology to holistically analyze digital applications is suggested. The intended purpose of the suggested methodology is to provide a complexity-reduced fact base as input for societal and political discussions and for the development of new digital products, services, or business models. While the methodology is outlined in this article, in a follow-up article the application of the methodology will be presented and the use of the approach reflected.","url":"https://doi.org/10.3390/app9245350","authors":["Paul Weigel","Manfred Fischedick"],"tags":["Digital transformation","Transformative learning","Computer science","Sustainability","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-07","doi":"https://doi.org/10.3390/app9245350","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4388637778","name":"The UNITE database for molecular identification and taxonomic communication of fungi and other eukaryotes: sequences, taxa and classifications reconsidered","source":"openalex","abstract":"UNITE (https://unite.ut.ee) is a web-based database and sequence management environment for molecular identification of eukaryotes. It targets the nuclear ribosomal internal transcribed spacer (ITS) region and offers nearly 10 million such sequences for reference. These are clustered into ∼2.4M species hypotheses (SHs), each assigned a unique digital object identifier (DOI) to promote unambiguous referencing across studies. UNITE users have contributed over 600 000 third-party sequence annotations, which are shared with a range of databases and other community resources. Recent improvements facilitate the detection of cross-kingdom biological associations and the integration of undescribed groups of organisms into everyday biological pursuits. Serving as a digital twin for eukaryotic biodiversity and communities worldwide, the latest release of UNITE offers improved avenues for biodiversity discovery, precise taxonomic communication and integration of biological knowledge across platforms.","url":"https://doi.org/10.1093/nar/gkad1039","authors":["Kessy Abarenkov","R. Henrik Nilsson","Karl‐Henrik Larsson","Andy F. S. Taylor","Tom W. May","Tobias Guldberg Frøslev","Julia Pawłowska","Björn D. Lindahl","Kadri Põldmaa","Camille Truong","Duong Vu","Tsuyoshi Hosoya","Tuula Niskanen","Timo Piirmann","Filipp Ivanov","Allan Zirk","Marko Peterson","Tanya E. Cheeke","Yui Ishigami","Tobias Jansson","Thomas Stjernegaard Jeppesen","Erik Kristiansson","Vladimir Mikryukov","Joseph T. Miller","Ryoko Oono","Francisco J. Ossandon","Joana Paupério","Irja Saar","Dmitry Schigel","Ave Suija","Leho Tedersoo","Urmas Kõljalg"],"tags":["Biology","Identification (biology)","Identifier","Taxon","Biodiversity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-23","doi":"https://doi.org/10.1093/nar/gkad1039","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4311963021","name":"Metaverse and AI Digital Twinning of 42SiCr Steel Alloys","source":"openalex","abstract":"Digital twins are the most important parts of Cyber-Physical Systems (CPSs), and play a crucial role in the realization of the Metaverse. Therefore, two important factors: flexibility and adaptability, need to be focused on digital twinning systems. From a virtual perspective, constructing buildings, structures, and mechanisms in the Metaverse requires digital materials and components. Hence, accurate and reliable digital models can guarantee the success of implementation, particularly when it comes to completing physical twins in the real world. Accordingly, four Machine Learning (ML) methods to make digital twins of an advanced 42SiCr alloy considering all of its uncertainties and non-linearities have been employed in this paper. These ML methods accelerate the digitalization of the proposed alloy and allow users to employ them for a wide range of similar metals. Based on this technique, producers can borrow these virtual materials and build their structures in the Metaverse. This way, if the properties of the materials were satisfactory, they might buy them and start manufacturing their products. As a case study, we focus on digital twining of an 42SiCr steel with some influential factors in its mechanical properties, making the nature of the alloy complex. Processes, including heat treatment, may restore the material’s deformability; however, Quenching and Partitioning (Q&P) not only eliminates the impact of cold forming but also provides advanced high-strength steel (AHSS) properties. In this research, the combined impacts of different Q&P treatments were investigated on the mechanical properties of 42SiCr steel alloy. The results have shown the acceptability and accuracy of the proposed ML methods in realizing the digital twins of this complex alloy.","url":"https://doi.org/10.3390/math11010004","authors":["Omid Khalaj","Mohammad Jamshidi","Parsa Hassas","Marziyeh Hosseininezhad","Bohuslav Mašek","Ctibor Štádler","Jiří Svoboda"],"tags":["Flexibility (engineering)","Crystal twinning","Metaverse","Perspective (graphical)","Adaptability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-20","doi":"https://doi.org/10.3390/math11010004","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392095871","name":"A Review of the Concept, Applications, Risks and Control Strategies for Digital Twin","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-54820-8_21","authors":["Farnaz Farid","Abubakar Bello","Nusrat Jahan","W. Razia Sultana"],"tags":["Control (management)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-54820-8_21","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2982770903","name":"Design and management of digital manufacturing and assembly systems in the Industry 4.0 era","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-019-04595-0","authors":["Yuval Cohen","Maurizio Faccio","Francesco Pilati","Xifan Yao"],"tags":["Manufacturing engineering","Engineering","Industry 4.0","Industrial and production engineering","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-18","doi":"https://doi.org/10.1007/s00170-019-04595-0","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4409505433","name":"Digitalization in the Maritime Logistics Industry: A Systematic Literature Review of Enablers and Barriers","source":"openalex","abstract":"Digitalization is gaining its popularity in the maritime logistics sector due to its potential to enhance information sharing and automation. These advantages can significantly improve efficiency and have the potential to replace complex manual tasks. However, the diffusion of digitalization faces certain challenges, which, in turn, has drawn the attention of researchers. Implementing digitalization is a complex process, as it is affected by various enablers and barriers, while research providing a comprehensive overview of digitalization in the maritime logistics sector is limited. This study aims to fill the gap by conducting a literature review that reveals digitalization’s enablers and barriers in the maritime logistics sector and constructs a theoretical framework. It analyzes 117 articles that have made significant contributions to this field. The development of innovative technologies, such as blockchain, digital twins, and autonomous shipping, fosters digitalization in maritime logistics. Conversely, barriers like the lack of awareness about the benefits of digitalization can slow down its progress. In total, this paper identifies 19 enablers of and 10 barriers to digitalization in the maritime logistics sector. These enablers and barriers are classified into three groups–technology, organization, and environment–following the Technology–Organization–Environment (TOE) framework. We develop a theoretical framework accordingly using, as its basis, relevant innovation diffusion theories and studies. This study contributes to the development of effective digitalization strategies for maritime organizations and provides a theoretical foundation for future research.","url":"https://doi.org/10.3390/jmse13040797","authors":["Fangli Zeng","Anqi Chen","Shuojiang Xu","Hing Kai Chan","Y L Li"],"tags":["Business","Systematic review","MEDLINE","Political science","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-16","doi":"https://doi.org/10.3390/jmse13040797","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4207086753","name":"A Review and Qualitative Meta-Analysis of Digital Human Modeling and Cyber-Physical-Systems in Ergonomics 4.0","source":"openalex","abstract":"Occupational ApplicationsFounded in an empirical case study and theoretical work, this paper reviews the scientific literature to define the role of Digital Human Modeling (DHM), Digital Twin (DT), and Cyber-Physical Systems (CPS) to inform the emerging concept of Ergonomics 4.0. We find that DHM evolved into DT is a core element in Ergonomics 4.0. A solid understanding and agreement on the nature of Ergonomics 4.0 is essential for the inclusion of ergonomic values and considerations in the larger conceptual framework of Industry 4.0. In this context, we invite Ergonomists from various disciplines to broaden their understanding and application of DHM and DT.","url":"https://doi.org/10.1080/24725838.2021.1966130","authors":["Gunther Paul","Nils Darwin Abele","Karsten Kluth"],"tags":["Cyber-physical system","Context (archaeology)","Human factors and ergonomics","Industry 4.0","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-30","doi":"https://doi.org/10.1080/24725838.2021.1966130","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3007058305","name":"Wire Arc Additive Manufacturing of Stainless Steels: A Review","source":"openalex","abstract":"Wire arc additive manufacturing (WAAM) has been considered as a promising technology for the production of large metallic structures with high deposition rates and low cost. Stainless steels are widely applied due to good mechanical properties and excellent corrosion resistance. This paper reviews the current status of stainless steel WAAM, covering the microstructure, mechanical properties, and defects related to different stainless steels and process parameters. Residual stress and distortion of the WAAM manufactured components are discussed. Specific WAAM techniques, material compositions, process parameters, shielding gas composition, post heat treatments, microstructure, and defects can significantly influence the mechanical properties of WAAM stainless steels. To achieve high quality WAAM stainless steel parts, there is still a strong need to further study the underlying physical metallurgy mechanisms of the WAAM process and post heat treatments to optimize the WAAM and heat treatment parameters and thus control the microstructure. WAAM samples often show considerable anisotropy both in microstructure and mechanical properties. The new in-situ rolling + WAAM process is very effective in reducing the anisotropy, which also can reduce the residual stress and distortion. For future industrial applications, fatigue properties, and corrosion behaviors of WAAMed stainless steels need to be deeply studied in the future. Additionally, further efforts should be made to improve the WAAM process to achieve faster deposition rates and better-quality control.","url":"https://doi.org/10.3390/app10051563","authors":["Wanwan Jin","Chaoqun Zhang","Shuoya Jin","Yingtao Tian","Daniel Wellmann","Wen Liu"],"tags":["Microstructure","Materials science","Metallurgy","Residual stress","Corrosion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-25","doi":"https://doi.org/10.3390/app10051563","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4393219821","name":"Digital twin-driven blade rub-impact diagnosis using blade tip timing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.measurement.2024.114539","authors":["Shuming Wu","Shaohua Tian","Xuefeng Chen","Zhibo Yang"],"tags":["Blade (archaeology)","Undersampling","Rubbing","Fault (geology)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-27","doi":"https://doi.org/10.1016/j.measurement.2024.114539","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3108578113","name":"Special Issue “Digital Twin Technology in the AEC Industry”","source":"openalex","abstract":"Sustainable building design has become a hot topic over the past decades. Many standards, databases, and tools have been developed for achieving a sustainable building. Not until recently have the importance of structural engineering and its contribution to sustainable building design been full recognised. However, due to the highly fragmented and diversity of knowledge across building and infrastructure domains, there is a lack of approach that can address all the sustainable issues within the structural design. This paper reviews the sustainable design from the perspective of structural engineering: (1) reviewing the current situation; (2) identifying the gaps and difficulties; and (3) making recommendations for future improvements. The strategies and indicators, as well as BIM‐enabled methodology, for sustainable structural design (SSD) are also discussed in a holistic way. The results of this investigation show that most of the methods are not doing well in terms of delivering a successful sustainable structural design. It is expected that the future BIM could probably provide such a platform to address these issues.","url":"https://doi.org/10.1155/2020/8842113","authors":["Jisong Zhang","Lihua Zhao","Guoqian Ren","Haijiang Li","Xiaofei Li"],"tags":["Sustainable design","Construction engineering","Building information modeling","Computer science","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1155/2020/8842113","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4391621780","name":"Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin","source":"openalex","abstract":"This comprehensive review article delves into the intricate realm of fault-tolerant control (FTC) schemes tailored for robotic manipulators. Our exploration spans the historical evolution of FTC, tracing its development over time, and meticulously examines the recent breakthroughs fueled by the synergistic integration of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and digital twin technologies (DTT). The article places a particular emphasis on the transformative influence these contemporary trends exert on the landscape of robotic manipulator control and fault tolerance. By delving into the historical context, our aim is to provide a comprehensive understanding of the evolution of FTC schemes. This journey encompasses the transition from model-based and signal-based schemes to the role of sensors, setting the stage for an exploration of the present-day paradigm shift enabled by AI, ML, and DTT. The narrative unfolds as we dissect the intricate interplay between these advanced technologies and their applications in enhancing fault tolerance within the domain of robotic manipulators. Our review critically evaluates the impact of these advancements, shedding light on the novel methodologies, techniques, and applications that have emerged in recent times. The overarching goal of this article is to present a comprehensive perspective on the current state of fault diagnosis and fault-tolerant control within the context of robotic manipulators, positioning our exploration within the broader framework of AI, ML, and DTT advancements. Through a meticulous examination of both historical foundations and contemporary innovations, this review significantly contributes to the existing body of knowledge, offering valuable insights for researchers, practitioners, and enthusiasts navigating the dynamic landscape of robotic manipulator control.","url":"https://doi.org/10.48550/arxiv.2402.02980","authors":["Md Muzakkir Quamar","Ali Nasir","Quamar, Md Muzakkir","Nasir, Ali"],"tags":["Robot manipulator","Scheme (mathematics)","Artificial intelligence","Fault (geology)","Computer science","Robotics (cs.RO)","Machine Learning (cs.LG)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.48550/arxiv.2402.02980","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"oa:W4285082400","name":"Twin transitions of decarbonisation and digitalisation: A historical perspective on energy and information in European economies","source":"openalex","abstract":"This paper investigates the structural transformation associated with the ‘twin transition’ of decarbonisation and digitalisation in European economies by placing it in a broader historical perspective. With this in mind, this paper analyses the long run trends in energy intensity and communication intensity since 1850. The evidence indicates that these economies experienced a coevolution of energy and communication intensities during their industrialisation phase, followed by a divergence in the energy and communication intensities associated with the development of high tech and ICT. Overall, this reflects the dematerialisation of these European economies. The paper also analyses the speed of historical energy transitions and communication technology transitions in these economies, finding that communication transitions appear to be substantially faster than energy transitions. The evidence suggests that twin transitions of the decarbonisation and digitalisation of economies are likely to experience a process of imbalanced structural transformation (with ICT continuing to forge ahead). This expectation should guide policy recommendations – increasing the need for low carbon industry to develop and create synergies between the two industries in order to avoid the new industrial revolution being high‑carbon.","url":"https://doi.org/10.1016/j.erss.2022.102736","authors":["Roger Fouquet","Ralph Hippe"],"tags":["Information and Communications Technology","Industrialisation","Economy","Energy (signal processing)","China"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-13","doi":"https://doi.org/10.1016/j.erss.2022.102736","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4382583083","name":"Digital Barriers in Digital Transition and Digital Transformation: Literature Review","source":"openalex","abstract":"Abstract Research purpose. The research aimed to identify digital barriers in the digital transition and digital transformation in businesses and industries under the umbrella of human resource management. The topicality of the research relates to the need to identify digital barriers impeding digital transition and transformation that can be addressed through the prism of human resource management policies or that can be related to human resource management. Design / Methodology / Approach. The research method was the analysis of the keywords and keyword concordances, conducted on the sample of the created corpus of 50 recently published scientific papers, which were analysed using the text analysis instruments AntConc and Voyant Tools . Findings. Two digital barrier types were postulated - individual and organisational barriers, which were further spread across five digital barrier areas - human resource, technological, management, business development, and financial ones that were able to accommodate the following barriers: general human resource, staff resistance, psychological, staff digital competences, decision-makers digital competences, internal information exchange, external information exchange, data processing, technical, IT complexity, poor usability, cybersecurity, general management, business structure, business 4.0, industry 4.0, creativity, and costs. Originality / Value / Practical implications. The created structure of digital barriers provides human resource departments with a global picture of barriers that should be reviewed within their competence areas to ensure the recruitment of specialists capable of conducting specified digital operations and the continuous development of digital competencies of the entire labour force of the organisation. The suggested digital barrier structure can also be used to develop the organisational strategy for the digital transition and digital transformation.","url":"https://doi.org/10.2478/jec-2023-0011","authors":["Kristīne Užule","Natalja Verina"],"tags":["Digital transformation","Originality","Knowledge management","Human resource management","Creativity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-01","doi":"https://doi.org/10.2478/jec-2023-0011","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392539343","name":"Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies","source":"openalex","abstract":"Abstract Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, different thematic areas of DT have been explored. This is no different in specific fields such as manufacturing, automation, oil and gas, and civil engineering, leading to fragmented approaches for field-specific applications. The civil engineering industry is further disadvantaged in this regard as it relies on external techniques by other engineering fields for its DT adoption. A rising consequence of these extensions is a concentrated application of DT to the operations and maintenance phase. On another spectrum, building information modeling (BIM) is pervasively utilized in the planning/design phase, and the transient nature of the construction phase remains a challenge for its DT adoption. In this article, we present a phase-based development of DT in the architecture, engineering, and construction industry. We commence by presenting succinct expositions on DT as a concept and as a service, and establish a five-level scale system. Furthermore, we present separately a systematic literature review of the conventional techniques employed at each civil engineering phase. In this regard, we identified enabling technologies such as computer vision for extended sensing and the Internet of things for reliable integration. Ultimately, we attempt to reveal DT as an important tool across the entire life cycle of civil engineering projects, and nudge researchers to think more holistically in their quest for the integration of DT for civil engineering applications.","url":"https://doi.org/10.1115/1.4066181","authors":["Taiwo A. Adebiyi","Nafeezat A. Ajenifuja","Ruda Zhang"],"tags":["Political science","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-07","doi":"https://doi.org/10.1115/1.4066181","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4223982445","name":"Narratives of digital sovereignty in German political discourse","source":"openalex","abstract":"Abstract Digital sovereignty has become a prominent concept in European digital policy, and Germany stands out as its leading advocate in Europe. How digital sovereignty is being understood in German politics is therefore highly relevant for broader policy debates on the European level. This motivates the main objective of the article to map out the different meanings that are attributed to digital sovereignty in German political discourse. Specifically, the article adopts a narrative framework to reconstruct the narratives through which these meanings are constructed. The analysis identifies seven different but overlapping narratives of digital sovereignty in the German discourse that serve to promote partly contradictory political agendas. We argue that this diversity is not a bug, but a feature. Specifically, it supports rich internarrative linkages which benefit the broader resonance of each individual narrative. It also enables a broad set of political actors to enlist digital sovereignty for their specific priorities.","url":"https://doi.org/10.1111/gove.12690","authors":["Daniel Lambach","Kai Oppermann"],"tags":["Sovereignty","Narrative","German","Politics","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-05","doi":"https://doi.org/10.1111/gove.12690","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4385730007","name":"Preliminary Systemic Model of (Human) Digital Twin","source":"openalex","abstract":"This paper is an ongoing work seeking to establish a generic definition and model of the Human Digital Twin (HDT) concept, independently from the application sector. The goal is to help researchers knowing more precisely what is or could be a HDT and an initial step step towards a unifying and generic definition and model grounded in the systemics theory. We propose a systemic model of Digital Twin (DT), where HDT is a specific class of DT. The last years of literature on HDT are reviewed, to build a generic definition, extract the main components and integrate them in a generic systemic model centred on the DT and HDT concepts as systems. Doing this, we make explicit the link between DT and the systems they twin, including the special system that is the human-being, when a DT becomes a HDT.","url":"https://doi.org/10.1145/3594806.3596596","authors":["Yannick Naudet","Christoph Stahl","Marie Gallais"],"tags":["Computer science","Class (philosophy)","Theoretical computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-05","doi":"https://doi.org/10.1145/3594806.3596596","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7135029637","name":"Empowering the grid: A comprehensive review of vehicle-to-grid technology, digital twins, and intelligent energy systems","source":"openalex","abstract":"• Explains V2G Systems: Breaks down the essential hardware, communication, and energy management parts of Vehicle-to-Grid technology. • Compares Bidirectional Chargers: Analyzes and compares different types of Bidirectional chargers. • Covers Control Methods: Discusses everything from traditional control techniques to advanced AI and machine learning for smarter energy management. • Analyzes Battery Impact: Investigates how V2G affects EV battery health, performance, and the overall cost-effectiveness. • Highlights Digital Twin Technology: Shows how creating virtual models of V2G systems helps test, predict performance, and check financial viability. • Addresses Cybersecurity: Outlines the critical security risks in V2G and the measures needed to protect the system. • Reviews Global Projects & Future Trends: Shares lessons from real-world V2G case studies and looks ahead to future research involving IoT, AI, and blockchain. The market for electric vehicles is booming. This surge poses challenges for power systems as the simultaneous charging of electric vehicles occurs without enough organization. This situation may slow our transition to clean energy. An innovative approach in Electric Vehicles (EVs) is Vehicle-to-Grid (V2G) technology, which allows EVs to interact with the power grid and become active participants in the energy system rather than passive consumers. By transferring unused battery power from vehicles to the grid, this technology can help balance electricity supply and demand, particularly during peak periods. This review examines the functionality of V2G systems, including their architecture, communication protocols, converter technology, battery performance and degradation rates, and various control methods (from traditional techniques to machine learning approaches), as well as security issues. Digital twins are highly significant. They are utilized for virtual replicas, real-time observation, estimating battery health, and assessing feasibility within Distributed Energy Resource Management Systems (DERMS). This assessment contrasts traditional methods with emerging technologies such as machine learning for predictive analytics, IoT, and blockchain, considering current offerings and anticipated market introductions by 2026. These viewpoints offer crucial guidance to stakeholders in building sustainable, intelligent energy systems.","url":"https://doi.org/10.1016/j.gloei.2026.01.002","authors":["Nagarajan Munusamy","Indragandhi Vairavasundaram"],"tags":["Battery (electricity)","Electricity","Engineering","Control (management)","Electric power system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-12","doi":"https://doi.org/10.1016/j.gloei.2026.01.002","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3102147001","name":"Progress for Life Cycle Sustainability Assessment by Means of Digital Lifecycle Twins — A Taxonomy","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-15-6775-9_21","authors":["Theresa Riedelsheimer","Sabrina Neugebauer","Kai Lindow"],"tags":["Sustainability","Product (mathematics)","Engineering","Product lifecycle","Product-service system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-10","doi":"https://doi.org/10.1007/978-981-15-6775-9_21","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3150592967","name":"Photopolymerization-based additive manufacturing of ceramics: A systematic review","source":"openalex","abstract":"Abstract Conversion of inorganic-organic frameworks (ceramic precursors and ceramic-polymer mixtures) into solid mass ceramic structures based on photopolymerization process is currently receiving plentiful attention in the field of additive manufacturing (3D printing). Various techniques (e.g., stereolithography, digital light processing, and two-photon polymerization) that are compatible with this strategy have so far been widely investigated. This is due to their cost-viability, flexibility, and ability to design and manufacture complex geometric structures. Different platforms related to these techniques have been developed too, in order to meet up with modern technology demand. Most relevant to this review are the challenges faced by the researchers in using these 3D printing techniques for the fabrication of ceramic structures. These challenges often range from shape shrinkage, mass loss, poor densification, cracking, weak mechanical performance to undesirable surface roughness of the final ceramic structures. This is due to the brittle nature of ceramic materials. Based on the summary and discussion on the current progress of material-technique correlation available, here we show the significance of material composition and printing processes in addressing these challenges. The use of appropriate solid loading, solvent, and preceramic polymers in forming slurries is suggested as steps in the right direction. Techniques are indicated as another factor playing vital roles and their selection and development are suggested as plausible ways to remove these barriers.","url":"https://doi.org/10.1007/s40145-021-0468-z","authors":["Sefiu Abolaji Rasaki","Dingyu Xiong","Shufeng Xiong","Fang Su","Muhammad Idrees","Zhangwei Chen"],"tags":["Stereolithography","Ceramic","3D printing","Materials science","Photopolymer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-27","doi":"https://doi.org/10.1007/s40145-021-0468-z","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4417246574","name":"CULTURAL HERITAGE CONSERVATION IN DIGITAL ERA: A REVIEW OF DIGITAL TWIN AND 3D PRINTING APPLICATIONS","source":"openalex","abstract":"Digital Twin and 3D Printing technologies are advanced methods that integrate digital modeling, simulation, and automated fabrication and revolutionize various sectors. These technologies offer precise, efficient, and sustainable solutions, holding significant potential for enhancing preservation practices. Digital Twin technology enables the creation of detailed digital models, supporting real-time monitoring, predictive maintenance, and informed restoration planning. Meanwhile, 3D Printing allows the accurate reproduction of intricate architectural elements and artifacts, effectively bridging the gap between digital documentation and physical restoration. This review explores key research areas, including the replication of non-structural artifacts, structural rehabilitation, and material durability assessments. In total, 31 studies that included practical applications relevant to this study's scope were reviewed. Despite their numerous benefits, challenges such as high costs, specialized technical skills, and ethical considerations in heritage preservation remain. The study also anticipates future advancements, such as integrating smart materials, augmented reality, and robotics for autonomous restoration. This study provides insights into how Digital Twin and 3D Printing technologies can promote more effective, sustainable conservation practices in the digital age by evaluating current applications and challenges.","url":"https://doi.org/10.17482/uumfd.1604638","authors":["İsmail Hakkı Tarhan","Yeşim Tarhan"],"tags":["Scope (computer science)","Bridging (networking)","Cultural heritage","3D printing","Documentation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-11","doi":"https://doi.org/10.17482/uumfd.1604638","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7161156718","name":"Digital twin-centered food safety management systems: A review of IoT, AI, and blockchain integration for bacterial pathogen control","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.foodres.2026.119449","authors":["Balarabe B. Ismail","Abdulrazaq Hassan Abba","Abdulrashid Ibrahim Sanka","Aliyu Idris Muhammad","Wenjung Wang","D G Liu"],"tags":["Traceability","Risk analysis (engineering)","Food safety","Risk management","Computer science"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"https://doi.org/10.1016/j.foodres.2026.119449","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"oa:W4317513000","name":"Machine learning assisted advanced battery thermal management system: A state-of-the-art review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.est.2023.106688","authors":["Ao Li","Jingwen Weng","Anthony Chun Yin Yuen","Wei Wang","Hengrui Liu","Eric Wai Ming Lee","Jian Wang","Sanghoon Kook","Guan Heng Yeoh"],"tags":["Battery (electricity)","Computer science","Warning system","Reliability engineering","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-19","doi":"https://doi.org/10.1016/j.est.2023.106688","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4318478174","name":"Dynamic Scheduling and Optimization of AGV in Factory Logistics Systems Based on Digital Twin","source":"openalex","abstract":"At present, discrete workshops demand higher transportation efficiency, but the traditional scheduling strategy of the logistics systems can no longer meet the requirements. In a transportation system with multiple automated guided vehicles (multi-AGVs), AGV path conflicts directly affect the efficiency and coordination of the whole system. At the same time, the uncertainty of the number and speed of AGVs will lead to excessive cost. To solve these problems, an AGVs Multi-Objective Dynamic Scheduling (AMODS) method is proposed which is based on the digital twin of the workshop. The digital twin of the workshop is built in the virtual space, and a two-way exchange and real-time control framework based on dynamic data is established. The digital twin system is adopted to exchange data in real time, create a real-time updated dynamic task list, determine the number of AGVs and the speed of AGVs under different working conditions, and effectively improve the efficiency of the logistics system. Compared with the traditional scheduling strategy, this paper is of practical significance for the scheduling of the discrete workshop logistics systems to improve the production efficiency, utilization rate of resources, and dynamic response capability.","url":"https://doi.org/10.3390/app13031762","authors":["Shiqing Wu","Wenting Xiang","Weidong Li","Long Chen","Chenrui Wu"],"tags":["Computer science","Scheduling (production processes)","Dynamic priority scheduling","Real-time computing","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-30","doi":"https://doi.org/10.3390/app13031762","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W1922764278","name":"Needle twins and right-angled twins in minerals; comparison between experiment and theory","source":"openalex","abstract":"Transformation twinning in minerals forms isolated twin walls, intersecting twin walls with comer junctions, and wedge-shaped twins as elements of hierarchical patterns. When cut perpendicular to the twin walls, the twins have characteristic shapes, right-angled and needle-shaped wall traces, which can be observed by transmission electron microscopy or by optical microscopy. Theoretical geometries of wall shapes recently derived for strain- related systems should hold for most displacive and order-disorder type phase transitions: (I) right-angled twins show curved junctions; (2) needle-shaped twins contain flat wall segments near the needle tip if the elastic behavior of the mineral is dominated by its anisotropy; (3) additional bending forces and pinning effects lead to curved walls near the junction that make the needle tip appear more blunt. Experimental studies confirmed that these features occur in a wide range of materials. Bent right-angled twins were analyzed in Gd 2 (MoO 4 ) 3 . Linear needle tips were found in WO 3 , [N(CH 3 ) 4 ] 2 · ZnBr 4 CrAl, BiVO 4 , GdBa 2 Cu 3 O 7 , and PbZrO 3 . Parabolic tips occur in K 2 Ba(NO 2 ) 4 , and GeTe whereas exponential curvatures appear in BaTiO 3 , KSCN, Pb 3 (PO 4 ) 2 , CaTiO 3 , alkali feldspars, YBa 2 Cu 3 O 7 , and MnAl. The size and shape of the twin microstructure relates to its formation during the phase transition and the subsequent annealing history. The mobility of the twin walls after formation depends not only on the thermal activation but also on the structure of the wall, which may be pinned to impurities on a favorable structural site. Depinning energies are often large compared with thermal energies for diffusion. This leads to kinetic time scales for twin coarsening that are comparable to geological time scales. Therefore, transformation twins that exhibit needle domains not only indicate that the mineral underwent a structural phase transition but also contain information about its subsequent geological history.","url":"https://doi.org/10.2138/am-1998-7-813","authors":["Ekhard K. H. Salje","A. Buckley","Gustaaf Van Tendeloo","Yoshihiro Ishibashi","G. L. Nord"],"tags":["Crystal twinning","Materials science","Macle","Transmission electron microscopy","Condensed matter physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1998-08-01","doi":"https://doi.org/10.2138/am-1998-7-813","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392714280","name":"A review of mechanistic learning in mathematical oncology","source":"openalex","abstract":"Mechanistic learning refers to the synergistic combination of mechanistic mathematical modeling and data-driven machine or deep learning. This emerging field finds increasing applications in (mathematical) oncology. This review aims to capture the current state of the field and provides a perspective on how mechanistic learning may progress in the oncology domain. We highlight the synergistic potential of mechanistic learning and point out similarities and differences between purely data-driven and mechanistic approaches concerning model complexity, data requirements, outputs generated, and interpretability of the algorithms and their results. Four categories of mechanistic learning (sequential, parallel, extrinsic, intrinsic) of mechanistic learning are presented with specific examples. We discuss a range of techniques including physics-informed neural networks, surrogate model learning, and digital twins. Example applications address complex problems predominantly from the domain of oncology research such as longitudinal tumor response predictions or time-to-event modeling. As the field of mechanistic learning advances, we aim for this review and proposed categorization framework to foster additional collaboration between the data- and knowledge-driven modeling fields. Further collaboration will help address difficult issues in oncology such as limited data availability, requirements of model transparency, and complex input data which are embraced in a mechanistic learning framework.","url":"https://doi.org/10.3389/fimmu.2024.1363144","authors":["John Metzcar","Catherine R. Jutzeler","Paul Macklin","Alvaro Köhn‐Luque","Sarah C. Brüningk"],"tags":["Interpretability","Computer science","Artificial intelligence","Field (mathematics)","Deep learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-12","doi":"https://doi.org/10.3389/fimmu.2024.1363144","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4285803683","name":"The Digital Value Stream Twin","source":"openalex","abstract":"The Value Stream Method (VSM) is widely used in manufacturing to analyze and redesign value streams. The aim is to improve processes, reduce waste and create a thorough product flow. Despite having many benefits, VSM also comes with disadvantages regarding modern dynamic production environments. It fails to meet the requirement of providing reliable information for a realistic Value Stream Design (VSD) followed by targeted improvement activities. As a result, the VSM is usually subject to uncertainty and relies on expert knowledge. Digitalization, on the other hand, is leading to an increasing availability of production data. The use of data has the potential to support the VSM with targeted data preparation. In this regard, the concept of Digital Twin (DT) offers the capability of providing the required database to systematically collect and condense this data. This paper provides a framework for the Digital Value Stream Twin (DVST). In addition, requirements for the implementation of a DVST in practice will be elaborated.","url":"https://doi.org/10.3390/systems10040102","authors":["Nicholas Frick","Joachim Metternich"],"tags":["Value stream mapping","Computer science","Production (economics)","Value (mathematics)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-17","doi":"https://doi.org/10.3390/systems10040102","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4409455077","name":"Digital twin, digital thread, and digital mindset in enabling digital transformation: A socio-technical systems perspective","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.technovation.2025.103240","authors":["Swapan Ghosh","Mathew Hughes","Paul Hughes","Ian R. Hodgkinson","Mat Hughes","Ian Hodgkinson"],"tags":["Mindset","Digital transformation","Perspective (graphical)","Computer science","Thread (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-15","doi":"https://doi.org/10.1016/j.technovation.2025.103240","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4406518246","name":"Facilitating Fashion Digital Product Passports: A Review and Comparison of Digital Twin Creation Tools","source":"openalex","abstract":"This article reviews and compares two digital twin creation tools, CLO3D and Style3D, focusing on their role in enabling Digital Product Passports (DPPs) in the fashion industry. CLO3D specializes in vivid fashion simulations, helping designers visualize products, while Style3D emphasizes supply chain integration and fabric digitization. User feedback from video analysis shows Style3D receives more positive sentiment due to its practicality in production. Both tools offer unique advantages but have areas to improve. The study highlights the potential of digital twin technology in advancing sustainability and transparency in fashion, though its scope is limited to these two tools and data sources.","url":"https://doi.org/10.31274/itaa.18778","authors":["Rui Zhao","Chuanlan Liu","Chunmin Lang"],"tags":["Computer science","Product (mathematics)","Human–computer interaction","Mathematics","Geometry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-18","doi":"https://doi.org/10.31274/itaa.18778","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3113315270","name":"Review of supercritical CO2 technologies and systems for power generation","source":"openalex","abstract":"Thermal-power cycles operating with supercritical carbon dioxide (sCO2) could have a significant role in future power generation systems with applications including fossil fuel, nuclear power, concentrated-solar power, and waste-heat recovery. The use of sCO2 as a working fluid offers potential benefits including high thermal efficiencies using heat-source temperatures ranging between approximately 350∘C and 800∘C, a simple and compact physical footprint, and good operational flexibility, which could realise lower levelised costs of electricity compared to existing technologies. However, there remain technical challenges to overcome that relate to the design and operation of the turbomachinery components and heat exchangers, material selection considering the high operating temperatures and pressures, in addition to characterising the behaviour of supercritical CO2. Moreover, the sensitivity of the cycle to the ambient conditions, alongside the variable nature of heat availability in target applications, introduce challenges related to the optimal operation and control. The aim of this paper is to provide a review of the current state-of-the-art of sCO2 power generation systems, with a focus on technical and operational issues. Following an overview of the historical background and thermodynamic aspects, emphasis is placed on discussing the current research and development status in the areas of turbomachinery, heat exchangers, materials and control system design, with priority given to experimental prototypes. Developments and current challenges within the key application areas are summarised and future research trends are identified.","url":"https://doi.org/10.1016/j.applthermaleng.2020.116447","authors":["Martin T. White","Giuseppe Bianchi","Lei Chai","S.A. Tassou","A. I. Sayma"],"tags":["Heat exchanger","Process engineering","Supercritical fluid","Electricity generation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-10","doi":"https://doi.org/10.1016/j.applthermaleng.2020.116447","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4408951722","name":"Integrated Sensing and Communication for 6G Holographic Digital Twins","source":"openalex","abstract":"With the advent of 6G networks offering ultra-high bandwidth and ultra-low latency coupled with the enhancement of terminal device resolutions, holographic communication is gradually becoming a reality. Holographic digital twin (HDT) is considered one of the key applications of holographic communication, capable of creating virtual replicas for real-time mapping and prediction of physical entity states and performing three-dimensional reproduction of spatial information. In this context, integrated sensing and communication (ISAC) is expected to be a crucial pathway for providing data sources to HDT. This article proposes a four-layer architecture assisted by ISAC for HDT, integrating emerging paradigms and key technologies to achieve low-cost, high-precision environmental data collection for constructing HDT. Specifically, to enhance sensing resolution, we explore super-resolution techniques from the perspectives of parameter estimation and point cloud construction. Additionally, we focus on multi-point collaborative sensing for constructing HDT and provide a comprehensive review of four key techniques: node selection, multiband collaboration, cooperative beamforming, and data fusion. Finally, we high-light several interesting research directions to guide and inspire future work.","url":"https://doi.org/10.1109/mwc.001.2400178","authors":["Haijun Zhang","Ziyang Zhang","Xiangnan Liu","Wei Li","Hongmin Li","Chen Sun"],"tags":["Computer science","Holography","Telecommunications","Optics","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-29","doi":"https://doi.org/10.1109/mwc.001.2400178","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4312220284","name":"Artificial intelligence and corporate innovation: A review and research agenda","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.techfore.2022.122264","authors":["Salman Bahoo","Marco Cucculelli","Dawood Qamar"],"tags":["Innovation management","Open innovation","Scope (computer science)","Product innovation","New product development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-25","doi":"https://doi.org/10.1016/j.techfore.2022.122264","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4377982128","name":"Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin","source":"openalex","abstract":"Abstract The situation awareness, especially for collaborative robots, plays a crucial role when humans and machines work together in a human-centered, dynamic environment. Only when the humans understands how well the robot is aware of its environment can they build trust and delegate tasks that the robot can complete successfully. However, the state of situation awareness has not yet been described for collaborative robots. Furthermore, the improvement of situation awareness is now only described for humans but not for robots. In this paper, the authors propose a metric to measure the state of situation awareness. Furthermore, the models are adapted to the collaborative robot domain to systematically improve the situation awareness. The proposed metric and the improvement process of the situation awareness are evaluated using the mobile robot platform Robotino. The authors conduct extensive experiments and present the results in this paper to evaluate the effectiveness of the proposed approach. The results are compared with the existing research on the situation awareness, highlighting the advantages of our approach. Therefore, the approach is expected to significantly improve the performance of cobots in human–robot collaboration and enhance the communication and understanding between humans and machines.","url":"https://doi.org/10.1007/s10845-023-02138-9","authors":["Manuel Müller","Tamás Ruppert","Nasser Jazdi","Michael Weyrich"],"tags":["Robot","Human–computer interaction","Computer science","Delegate","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-24","doi":"https://doi.org/10.1007/s10845-023-02138-9","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3217800963","name":"Real-time combination of material flow simulation, digital twins of manufacturing cells, an AGV and a mixed-reality application","source":"openalex","abstract":"The integration of material flow simulation and digital planning solutions raises new challenges for the methodology and technical implementation of simulation models. The paper describes the use of a material flow simulation, which is controlling an AGV and interacting with digital twins of manufacturing cells. The digital twins determine the exact machining times. In addition, a mixed-reality application visualizes the entire system, while the communication via MQTT ensures a quasi-synchronous behavior of the different models and the AGV. The paper provides a literature review on similar solutions, describes the concept of our approach and specifies the technical implementation.","url":"https://doi.org/10.1016/j.procir.2021.11.271","authors":["Marcel Müller","Jonas Mielke","Yurii Pavlovskyi","Andreas Pape","Steffen Masik","Tobias Reggelin","Sebastian Häberer"],"tags":["Material flow","Machining","Computer science","Flow (mathematics)","Material handling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.271","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7133129931","name":"A Review of Generative Artificial Intelligence for Digital Twin in Smart City","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-032-10649-0_56","authors":["Anh Tuan Nguyen","Yonghan Ahn"],"tags":["Smart city","Generative grammar","Computer science","Key (lock)","Urban planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-10649-0_56","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4411734997","name":"Human digital twin for long-distance relationships: a scoping review","source":"openalex","abstract":"Human Digital Twins (HDTs), building upon the concept of Digital Twins (DTs), offer transformative potential for seamless human interaction across physical and virtual worlds. This review aims to establish the groundwork for utilising HDTs in Long-Distance Relationships (LDRs) to enrich the quality of human connections over geographical separations. Searching from four academic databases, this paper examines current DT research in Human-Computer Interaction (HCI) and synthesises existing LDR solutions across commercial and research realms, including communication technologies, social media platforms, wearable and tangible interfaces, Extended Reality (XR) and immersive telepresence, and Artificial Intelligence (AI)-based companions. The findings reveal significant gaps in the research of broad DTs in HCI communities and highlight the limitations of current LDR solutions. To address these challenges, this study envisions HDTs encompassing both microscopic (individual) and macroscopic (dyadic) dimensions, offering a novel approach to enhancing emotional and experiential closeness despite geographical separation. Several potential scenarios for HDT integration in LDRs are presented, demonstrating its capability to enhance LDR interactions.","url":"https://doi.org/10.1080/0144929x.2025.2523446","authors":["Qing Li","A. Baki Kocaballı","Jaime García","A. Baki Kocaballi","Jaime Garcia"],"tags":["Computer science","Data science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-27","doi":"https://doi.org/10.1080/0144929x.2025.2523446","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"oa:W4384158334","name":"A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems","source":"openalex","abstract":"Digital twins (DTs) are digital copies of real-world items or processes that can learn from their surroundings to more accurately reflect, validate, and mimic the physical twin’s behavior in the here and now and into the future. DTs are becoming increasingly prevalent in a variety of fields, including manufacturing, automobiles, medicine, smart cities, and other related areas. In this paper, we presented a systematic review of DTs in the autonomous vehicular industry. We addressed DTs and their essential characteristics, emphasizing accurate data collection, real-time analytics, and efficient simulation capabilities while highlighting their role in enhancing performance and reliability. Next, we explored the technical challenges and central technologies of DTs. We illustrated the comparison analysis of different methodologies that have been used for autonomous vehicles in smart cities. Finally, we addressed the application challenges and limitations of DTs in the autonomous vehicular industry.","url":"https://doi.org/10.1109/aiiot58121.2023.10174376","authors":["Sabir Hossain","Sohag Kumar Saha","Shampa Banik","Trapa Banik"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-07","doi":"https://doi.org/10.1109/aiiot58121.2023.10174376","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4413044255","name":"Convergence of Digital Twins and food drying technology: How to bring the next generation of dryers to life!?","source":"openalex","abstract":"Digital Twins technology is rapidly growing and has the potential to revolutionize traditional food-processing methods. However, their application in food-drying processes is still in its infancy. This study aimed to explore how Digital Twins can be applied to food drying process. Traditionally, food drying is performed under constant conditions, where air temperature and velocity remain constant. However, the literature review shows that variable drying conditions (trajectories) can improve both energy efficiency and product quality. The challenge is that the trajectories are calculated based on what happened in the process, not what is currently happening. Digital Twins address this shortcoming by enabling decision making based on real-time data. In this conceptual review paper, physiochemical parameters as an element of the physical world of a Digital Twins-based smart food dryer is first presented. Next, potential sensors for building a digital counterpart of the physiochemical parameters are discussed. This is followed by mathematical models, dynamic optimization, and advanced control, which are the core elements of a decision-making and control unit. Finally, future research needs are discussed. This conceptual review paper will guide and give a solid insight to academic researchers, companies, and other potential stakeholders on merging Digital Twins and food drying technologies.","url":"https://doi.org/10.1016/j.jfoodeng.2025.112770","authors":["Arman Arefi","Carlos Vilas","Mulugeta Admasu Delele","Petra Foerst","Sebastian Gruber","Mohammad Kaveh","Farhad Khoshnam","Norhashila Hashim","Maimunah Mohd Ali","Saman Zohrabi","Muhammad Tayyab","Aditya Parmar","Pramod Aradwad","John Ndisya","Waseem Amjad","Majharulislam Babor","Annika Mahn","Barbara Sturm"],"tags":["Convergence (economics)","Process engineering","Environmental science","Engineering","Food science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-07","doi":"https://doi.org/10.1016/j.jfoodeng.2025.112770","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3035774681","name":"Exploring the Interrelationship between Additive Manufacturing and Industry 4.0","source":"openalex","abstract":"Innovative technologies allow organizations to remain competitive in the market and increase their profitability. These driving factors have led to the adoption of several emerging technologies and no other trend has created more of an impact than Industry 4.0 in recent years. This is an umbrella term that encompasses several digital technologies that are geared toward automation and data exchange in manufacturing technologies and processes. These include but are not limited to several latest technological developments such as cyber-physical systems, digital twins, Internet of Things, cloud computing, cognitive computing, and artificial intelligence. Within the context of Industry 4.0, additive manufacturing (AM) is a crucial element. AM is also an umbrella term for several manufacturing techniques capable of manufacturing products by adding layers on top of each other. These technologies have been widely researched and implemented to produce homogeneous and heterogeneous products with complex geometries. This paper focuses on the interrelationship between AM and other elements of Industry 4.0. A comprehensive AM-centric literature review discussing the interaction between AM and Industry 4.0 elements whether directly (used for AM) or indirectly (used with AM) has been presented. Furthermore, a conceptual digital thread integrating AM and Industry 4.0 technologies has been proposed. The need for such interconnectedness and its benefits have been explored through the content-centric literature review. Development of such a digital thread for AM will provide significant benefits, allow companies to respond to customer requirements more efficiently, and will accelerate the shift toward smart manufacturing.","url":"https://doi.org/10.3390/designs4020013","authors":["J.B. Butt"],"tags":["Industry 4.0","Cyber-physical system","Smart manufacturing","Automation","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-17","doi":"https://doi.org/10.3390/designs4020013","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4301398494","name":"Shaping the role of the digital twins for human‐robot dyad: Connotations, scenarios, and future perspectives","source":"openalex","abstract":"Abstract The field of Human‐Robot Interaction (HRI) represents one of the fast‐growing focus areas of Digital Twins (DTs). However, the role of DTs applications in human‐robot collaborative systems is still uncertain. This review article provides a comprehensive perspective of DTs' critical design aspects (i.e. Objectives, associate technologies, and application scenarios) in the broad application areas of human‐robot systems. This article uses a multi‐faceted approach to comprehend 43 DTs' state‐of‐the‐art applications in HRI. The study investigates the literature body across two dimensions (i.e. DT roles and HRI application characteristics). The conclusion of this work draws the attention of the relevant scientific community towards potential DTs' application scenarios and provides insights into DT's future research directions.","url":"https://doi.org/10.1049/cim2.12066","authors":["Mohaiad Elbasheer","Francesco Longo","Giovanni Mirabelli","Letizia Nicoletti","Antonio Padovano","Vittorio Solina"],"tags":["Dyad","Perspective (graphical)","Field (mathematics)","Human–robot interaction","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-03","doi":"https://doi.org/10.1049/cim2.12066","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4281476684","name":"Meet Your Digital Twin in Space? Profiling International Expat’s Readiness for Metaverse Space Travel, Tech-Savviness, COVID-19 Travel Anxiety, and Travel Fear of Missing Out","source":"openalex","abstract":"The metaverse promises an unimaginable future for digital travelers by enabling them to gain unique experiences (e.g., space travel) that would otherwise be impossible in non-virtual reality. Moreover, COVID-19 travel anxiety has triggered growing interest in virtual environments (e.g., metaverse travel) in the aftermath of the pandemic. The cost-conscious and tech-savvy behavior of travelers has been resurrected in the ‘new normal’; however, the fear of missing out (FOMO) is now dictating travelers’ choices for newness, immersive and rewarding travel experiences. To address these emerging trends, promising new technologies, and untested relationships, the present study explored the effects of COVID-19 travel anxiety on the readiness for metaverse space travel. In addition, the moderating influence of tech savviness and travel FOMO was tested on this relationship. Drawing on data of international expats (N = 386) in UAE, the finding based on structural equation modeling (SEM) revealed that the international expat’s readiness for metaverse space travel is positively influenced by their COVID-19 travel anxiety. Moreover, expats with high tendencies of travel FOMO and tech savviness will experience a stronger impact of COVID-19 travel anxiety on their readiness for metaverse space travel. These novel findings guided by prominent theories (e.g., self-determination, SOR, and protection motivation) offer new insights for policy makers and practitioners to strategically achieve digital-tourism transformation and sustainability through emerging and immersive metaverse technologies.","url":"https://doi.org/10.3390/su14116441","authors":["Umer Zaman","Inhyouk Koo","Saba Abbasi","Syed Hassan Raza","Madeeha Gohar Qureshi"],"tags":["Metaverse","Travel behavior","Coronavirus disease 2019 (COVID-19)","Anxiety","Space (punctuation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-25","doi":"https://doi.org/10.3390/su14116441","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3201150582","name":"Corporate digital responsibility (CDR) in construction engineering—ethical guidelines for the application of digital transformation and artificial intelligence (AI) in user practice","source":"openalex","abstract":"Abstract Digitization is developing fast and has become a powerful tool for digital planning, construction and operations, for instance digital twins. Now is the right time for constructive approaches and to apply ethics-by-design in order to develop and implement a safe and efficient artificial intelligence (AI) application. So far, no study has addressed the key research question: Where can corporate digital responsibility (CDR) be allocated, and how shall an adequate ethical framework be designed to support digital innovations in order to make full use of the potentials of digitization and AI? Therefore, the research on how best practices meet their corporate responsibility in the digital transformation process and the requirements of the EU for trustworthy AI and its human-friendly use is essential. Its transformation bears a high potential for companies, is critical for success and thus, requires responsible handling. This study generates data by conducting case studies and interviewing experts as part of the qualitative method to win profound insights into applied practice. It provides an assessment of demands stated in the Sustainable Development Goals by the United Nations (SDGs), White Papers on AI by international institutions, European Commission and German Government requesting the consideration and protection of values and fundamental rights, the careful demarcation between machine (artificial) and human intelligence and the careful use of such technologies. The study discusses digitization and the impacts of AI in construction engineering from an ethical perspective. This research critically evaluates opportunities and risks concerning CDR in construction industry. To the author’s knowledge, no study has set out to investigate how CDR in construction could be conceptualized, especially in relation to digitization and AI, to mitigate digital transformation both in large, medium- and small-sized companies. This study applies a holistic, interdisciplinary, inclusive approach to provide guidelines for orientation and examine benefits as well as risks of AI. Furthermore, the goal is to define ethical principles which are key for success, resource-cost-time efficiency and sustainability using digital technologies and AI in construction engineering to enhance digital transformation. This study concludes that innovative corporate organizations starting new business models are more likely to succeed than those dominated by a more conservative, traditional attitude.","url":"https://doi.org/10.1007/s42452-021-04776-1","authors":["Bianca Christina Weber-Lewerenz"],"tags":["Digitization","Digital transformation","Process (computing)","Government (linguistics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-09","doi":"https://doi.org/10.1007/s42452-021-04776-1","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4406444811","name":"Digital Twins and their Impact on Industrial Machinery: A Comprehensive Systematic Review","source":"openalex","abstract":"In the past decade, the incorporation of digital twins into industrial machinery has marked a transformative milestone, leading to more efficient and safer machines that have extended their lifespan and increased industrial productivity. Focusing on this phenomenon, the purpose of this study is to discern the current landscape of research regarding the influence of digital twins on industrial machinery over the past seven years. To achieve this, a systematic literature review was conducted, examining sources such as IEEE Xplore, Web of Science, Scopus, EBSCOhost, ProQuest, Hindawi, and ScienceDirect. Through meticulously calibrated search strategies, 4,881 relevant studies were identified. Eight rigorous exclusion criteria were applied, using the PRISMA diagram for filtering, and 61 high-quality studies were selected for review. The findings highlight China’s prominent contribution to the field and emphasize predictive maintenance as the most impactful area of application, with journals such as Hindawi and ProQuest leading the dissemination of knowledge. Overall, this research reveals significant insights that enhance the understanding of the impact of digital twins in the industrial machinery sector.","url":"https://doi.org/10.13053/cys-28-4-5221","authors":["Ayrton Nieves-Acosta","Javier Gamboa-Cruzado","Ivar Farfán-Muñoz","Blanca Cecilia López-Ramírez"],"tags":["Systematic review","Engineering","Political science","MEDLINE","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-30","doi":"https://doi.org/10.13053/cys-28-4-5221","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4316469224","name":"Digital twins as enablers of structure inspection and maintenance","source":"openalex","abstract":"Abstract: The emergence of new technologies based on the exchange of data and information via the internet has prompted a revolution in the industry as a whole. First applied in manufacturing, the movement known as the Fourth Industrial Revolution soon spread and changed the dynamics of many other fields. Digital twins (DTs), one of the technologies that emerged in this scenario, are used to replicate physical environments in virtual models. Such models must be supplied with up-to-date information throughout a product's lifecycle to ensure accurate representation of the real asset. DTs have great potential to impact the construction industry, supporting facilities management, simulation tasks, and centralized management and recording of interventions. However, despite the attention the theme has attracted among researchers and companies, implementation of the concept in practical situations is still largely underexplored. Thus, this study aims to critically analyze the concept of DTs and their potential in the construction industry, particularly in inspection and maintenance tasks for existing structures. The study comprises a literature review undertaken to identify the multiple types of DT models, examine barriers and opportunities associated with their use, and discuss their potential as enablers of inspection and maintenance strategies. Furthermore, research opportunities related to the use of DTs for structural inspection and maintenance are suggested.","url":"https://doi.org/10.1590/1806-9649-2022v30e4922","authors":["Julia Menegon","Eduardo Luís Isatto"],"tags":["Industry 4.0","Asset (computer security)","Computer science","Process management","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1590/1806-9649-2022v30e4922","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4417002978","name":"Integrated Digital Twin Systems in Mining Operations: A Holistic Review of the Current State, Challenges, and Future Prospects","source":"openalex","abstract":"This review provides a systematic synthesis of the current state, challenges, and future prospects of integrated digital twin systems in the mining industry. Utilizing a comprehensive search of major electronic databases, we analysed peerreviewed literature published from January 2009 to August 2025. The study highlights that while digital twins are increasingly adopted for siloed applications—such as optimizing individual machines or specific processes—their full potential as holistic, integrated, mine-wide systems remain untapped. Key challenges identified include the high cost of implementation, complex data integration, and a lack of skilled personnel and robust cybersecurity protocols. Looking ahead, the paper suggests that future development will involve merging digital twins with artificial intelligence and machine learning to enable advanced applications like predictive maintenance and real-time optimization of the entire mining value chain, ultimately leading to smarter, safer, and more sustainable operations.","url":"https://doi.org/10.1109/uemcon67449.2025.11267726","authors":["Milka C. I. Madahana","Mmatlou Marakalala","John E. D. Ekoru"],"tags":["Computer science","Key (lock)","Data science","Risk analysis (engineering)","Value (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-22","doi":"https://doi.org/10.1109/uemcon67449.2025.11267726","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4404035006","name":"From Simulators to Digital Twins for Enabling Emerging Cellular Networks: A Tutorial and Survey","source":"openalex","abstract":"Simulators are indispensable parts of the research and development necessary to advance countless industries, including cellular networks. With simulators, the evaluation, analysis, testing, and experimentation of novel designs and algorithms can be executed in a more cost-effective and convenient manner without the risk of real network service disruption. Additionally, recent trends indicate that the advancement of these Digital System Models (DSM), such as system-level simulators, will hold a pivotal role in advancing cellular networks by facilitating the development of digital twins. Given this growing significance, in this survey and tutorial paper, we present an extensive review of the currently available DSMs for 5G and beyond (5G&B) networks. Specifically, we begin with a tutorial on the fundamental concepts of 5G&B network simulations, followed by an identification of the essential design requirements needed to model the key features of these networks. We also devised a taxonomy of different types of 5G&B network simulators. In contrast to existing simulator surveys, which mostly leverage traditional metrics applicable to legacy networks, we devise and use 5G-specific evaluation metrics that capture three key facets of a network simulator, namely realism, completeness, and computational efficiency. We evaluate each simulator according to the devised metrics to generate an applicability matrix that maps different 5G&B simulators vis-à-vis the different research themes they can potentially enable. We also present the current challenges in developing 5G&B simulators while laying out several potential solutions to address the issues. Finally, we discuss the future challenges related to simulator design provisions that will arise with the emergence of 6G networks.","url":"https://doi.org/10.1109/comst.2024.3490178","authors":["Marvin Manalastas","Muhammad Umar Bin Farooq","Syed Muhammad Asad Zaidi","Haneya Naeem Qureshi","Yusuf Sambo","Ali Imran"],"tags":["Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-04","doi":"https://doi.org/10.1109/comst.2024.3490178","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4401667358","name":"LLM-Twin: mini-giant model-driven beyond 5G digital twin networking framework with semantic secure communication and computation","source":"openalex","abstract":"Beyond 5G networks provide solutions for next-generation communications, especially digital twins networks (DTNs) have gained increasing popularity for bridging physical and digital space. However, current DTNs pose some challenges, especially when applied to scenarios that require efficient and multimodal data processing. Firstly, current DTNs are limited in communication and computational efficiency, since they require to transmit large amounts of raw data collected from physical sensors, as well as to ensure model synchronization through high-frequency computation. Second, current models of DTNs are domain-specific (e.g. E-health), making it difficult to handle DT scenarios with multimodal data processing requirements. Finally, current security schemes for DTNs introduce additional overheads that impair the efficiency. Against the above challenges, we propose a large language model (LLM) empowered DTNs framework, LLM-Twin. First, based on LLM, we propose digital twin semantic networks (DTSNs), which enable more efficient communication and computation. Second, we design a mini-giant model collaboration scheme, which enables efficient deployment of LLM in DTNs and is adapted to handle multimodal data. Then, we designed a native security policy for LLM-twin without compromising efficiency. Numerical experiments and case studies demonstrate the feasibility of LLM-Twin. To our knowledge, this is the first to propose an LLM-based semantic-level DTNs.","url":"https://doi.org/10.1038/s41598-024-69474-5","authors":["Yang Hong","Jun Wu","Rosario Morello"],"tags":["Computer science","Computation","Computer network","Distributed computing","Theoretical computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-17","doi":"https://doi.org/10.1038/s41598-024-69474-5","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4404799585","name":"Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives","source":"openalex","abstract":"Energy poses a significant challenge in the industrial sector, and the abundance of data generated by Industry 4.0 technologies offers the opportunity to leverage Artificial Intelligence (AI) for enhancing energy efficiency (EE) in manufacturing processes, particularly within manufacturing systems. However, fully realizing AI's potential in addressing energy challenges requires a comprehensive review of AI methodologies aimed at overcoming obstacles in energy-efficient manufacturing systems. This article provides a systematic review that combines both quantitative and qualitative analyses of literature from the past ten years, focusing on mitigating prevalent energy efficiency challenges in manufacturing systems through AI-related methodologies. These challenges include Monitoring and Prediction, Real-Time Control, Scheduling, and Parameters Optimization. The AI-related solutions proposed in the reviewed research articles utilize Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) techniques, either individually or in combination with other methods. A total of 67 journal papers on manufacturing systems, addressing the mentioned energy challenges through AI-related approaches, have been identified and thoroughly reviewed. As a result of this review, an Energy Efficient-Digital Twin (EE-DT) framework is proposed, demonstrating how a DT, equipped with AI techniques, can be applied to solve energy issues in manufacturing systems. This study provides scholars with a comprehensive guideline for selecting various types of AI methods to address common challenges in energy-efficient manufacturing systems, while also highlighting some promising future research directions. • A systematic literature review on AI-driven energy solutions for manufacturing systems. • Investigated common energy challenges in manufacturing systems and proposed AI-based solutions.. • Introduced a novel conceptual Energy Efficiency-Digital Twin (EE-DT) framework. • Discussed challenges and future directions for AI-driven energy-efficient manufacturing systems.","url":"https://doi.org/10.1016/j.jmsy.2024.11.017","authors":["Mohamed Abadi","Chao Liu","Mingyu Zhang","Youxi Hu","Yuchun Xu"],"tags":["Energy (signal processing)","Systems engineering","Computer science","Industrial engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-28","doi":"https://doi.org/10.1016/j.jmsy.2024.11.017","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4386558263","name":"Reengineering and Its Reliability: An Analysis of Water Projects and Watershed Management under a Digital Twin Scheme in China","source":"openalex","abstract":"Water project and watershed management is currently being reengineered under digital twin schemes in China through pilot projects. An evaluation on pilot reengineering is important for its further implementation and improvement. This paper investigates national legislation and pilot projects’ implementations of a digital twin watershed and digital twin water project from the perspectives of design, policy, technology, investment, personnel, cyberspace security, co-construction, and sharing through interviews and expert review, and it uses a Bayesian network to study their reliability. First, the design of the digital twin watershed and digital twin water project is reasonable with regard to system architecture and business management. Second, although there are some national legislations on cyberspace security and geospatial data, they are incomplete for policy making and are probably infeasible for some technology. Third, there are insufficient mechanisms to sustainably support investment, personnel, and cyberspace security. Forth, co-construction and sharing are required for both inside and outside water departments. Fifth, the Bayesian network is useful for investigating the reliability of weak nodes, and it is helpful for the design and further implementation of the digital twin watershed and digital twin water project, as will be demonstrated with an anonymous example. This study could provide useful insights into the further reengineering of water projects and watershed management under a digital twin scheme in the world.","url":"https://doi.org/10.3390/w15183203","authors":["Dong Sheng","Yu Lou","Feifei Sun","Jinping Xie","Yu Yu"],"tags":["Cyberspace","Watershed management","Watershed","Engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-08","doi":"https://doi.org/10.3390/w15183203","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4414009665","name":"Digital Twin Framework for Smart City Development: Systematic Review","source":"openalex","abstract":"Cities represent complex ecosystems that grow at a rapid pace each day. Urban management and city services face multiple issues and functional problems. Integrating technology and smart infrastructure has become the chosen solution for modern challenges. The Smart City (SC) concept is a transformative approach being adopted by many cities around the world. This concept relies on the use of smart technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and high-performance computing for urban management and future project implementation. The goal is to enhance efficiency, improve quality of life, and ensure better harmony between technological progress and environmental sustainability. Moving towards a virtual living city model, the use of Digital Twin (DT) technology for urban growth management and city development is gaining attention among researchers and stakeholders. In this paper, the importance of DT technology for SC management is highlighted through a systematic review methodology. Then, differences between Urban Digital Twin (UDT) and Digital Twin City (DTC) approaches are debated, to synthetize shared properties and outline current limitations and challenges of implementing this technology in real-world settings. Finally, the paper concludes by offering some future research directions and potential paths for further work.","url":"https://doi.org/10.1109/iccsc66714.2025.11135106","authors":["Zayneb Miraoui","Abdelkader Nasser","Mohcine Kodad"],"tags":["Computer science","Smart city","Data science","World Wide Web","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.1109/iccsc66714.2025.11135106","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4310891504","name":"Integration of Artificial Intelligence in the life cycle of industrial Digital Twins","source":"openalex","abstract":"Digital twins (DT) constitute a major concept of future industrial systems. They are expected to enable efficient virtualization of manufacturing systems and enhance various decision-making processes. In parallel, many initiatives exhibited how artificial intelligence (AI) could increase the performance of the DT on specific applications. By reviewing the literature combining AI and DT, a lack of contributions on the whole life cycle of the DT was exhibited. Therefore, the main contribution of this paper is to define a global integration framework of AI into DT, focused on the exploitation phase of the DT. A case study, using a relatively simple physical twin, illustrates the potential of such integration for the response of the DT to unpredictable modifications of the physical twin.","url":"https://doi.org/10.1016/j.ifacol.2022.10.092","authors":["Farah Abdoune","Maroua Nouiri","Olivier Cardin","Pierre Castagna"],"tags":["Computer science","Virtualization","Artificial intelligence","Simple (philosophy)","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.10.092","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4321099465","name":"A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring","source":"openalex","abstract":"This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.","url":"https://doi.org/10.3390/s23042204","authors":["Sahar Hassani","Ulrike Dackermann"],"tags":["Structural health monitoring","Nondestructive testing","Systems engineering","Context (archaeology)","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-15","doi":"https://doi.org/10.3390/s23042204","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4288048751","name":"An Off-Site Construction Digital Twin Assessment Framework Using Wood Panelized Construction as a Case Study","source":"openalex","abstract":"Off-site construction is an innovative type of construction with the philosophy of standardizing the process and deploying the latest technological enablers. Many technologies, such as the Building Information Model (BIM), Internet of Things (IoT), etc., are concerned with virtual representation and manipulation of the physical site. However, a holistic view of the off-site construction processes is lacking in the exploration of the technological advances, resulting in inconsistency when applying these advances in practice. The concept of Digital Twin is useful for addressing this challenge. Digital Twin is a philosophy and a collection of technologies aimed toward seamless physical and virtual connections. Therefore, a holistic Off-site Construction Digital Twin model is necessary for any research concerning this topic, and an assessment framework is useful in helping off-site construction industry companies in approaching systematic Digital Twin. This research first proposes a model for Off-site Construction Digital Twin. To quantify this model, an assessment tool named Off-site Construction Digital Twin Maturity Level is proposed. The validation and evaluation of this assessment framework are conducted through a case study with ACQBuilt, an off-site construction company in Edmonton, Canada. The resulting assessment framework contributes to the body of knowledge in two ways: Firstly, it sets the foundation for an Off-site Construction Digital Twin, which is anticipated to significantly reduce waste and to improve efficiency. Secondly, it enables easier technology application in practice by offering a holistic Digital Twin framework.","url":"https://doi.org/10.3390/buildings12050566","authors":["Yuxi Wei","Zhen Lei","Sadiq Altaf"],"tags":["Process (computing)","Building information modeling","Engineering","Representation (politics)","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-28","doi":"https://doi.org/10.3390/buildings12050566","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4381617698","name":"A Theoretical Open Architecture Framework and Technology Stack for Digital Twins in Energy Sector Applications","source":"openalex","abstract":"Digital twin is often viewed as a technology that can assist engineers and researchers make data-driven system and network-level decisions. Across the scientific literature, digital twins have been consistently theorized as a strong solution to facilitate proactive discovery of system failures, system and network efficiency improvement, system and network operation optimization, among others. With their strong affinity to the industrial metaverse concept, digital twins have the potential to offer high-value propositions that are unique to the energy sector stakeholders to realize the true potential of physical and digital convergence and pertinent sustainability goals. Although the technology has been known for a long time in theory, its practical real-world applications have been so far limited, nevertheless with tremendous growth projections. In the energy sector, there have been theoretical and lab-level experimental analysis of digital twins but few of those experiments resulted in real-world deployments. There may be many contributing factors to any friction associated with real-world scalable deployment in the energy sector such as cost, regulatory, and compliance requirements, and measurable and comparable methods to evaluate performance and return on investment. Those factors can be potentially addressed if the digital twin applications are built on the foundations of a scalable and interoperable framework that can drive a digital twin application across the project lifecycle: from ideation to theoretical deep dive to proof of concept to large-scale experiment to real-world deployment at scale. This paper is an attempt to define a digital twin open architecture framework that comprises a digital twin technology stack (D-Arc) coupled with information flow, sequence, and object diagrams. Those artifacts can be used by energy sector engineers and researchers to use any digital twin platform to drive research and engineering. This paper also provides critical details related to cybersecurity aspects, data management processes, and relevant energy sector use cases.","url":"https://doi.org/10.3390/en16134853","authors":["Sri Nikhil Gupta Gourisetti","Sraddhanjoli Bhadra","D. Jonathan Sebastian-Cardenas","Md Touhiduzzaman","Osman Ahmed"],"tags":["Scalability","Software deployment","Computer science","Interoperability","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-21","doi":"https://doi.org/10.3390/en16134853","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4388635224","name":"Revolutionizing the Garment Industry 5.0: Embracing Closed-Loop Design, E-Libraries, and Digital Twins","source":"openalex","abstract":"This study presents an innovative approach for modernizing the garment industry through the fusion of digital human modeling (DHM), virtual modeling for fit sizing, ergonomic body-size data, and e-library resources. The integration of these elements empowers manufacturers to revolutionize their clothing design and production methods, leading to the delivery of unparalleled fit, comfort, and personalization for a wide range of body shapes and sizes. DHM, known for its precision in representing human bodies virtually and integrating anthropometric data, including ergonomic measurements, enhances the shopping experience by providing valuable insights. Consumers gain access to the knowledge necessary for making tailored clothing choices, thereby enhancing the personalization and satisfaction of their shopping experience. The incorporation of e-library resources takes the garment design approach to a data-driven and customer-centric level. Manufacturers can draw upon a wealth of information regarding body-size diversity, fashion trends, and customer preferences, all sourced from e-libraries. This knowledge supports the creation of a diverse range of sizes and styles, promoting inclusivity and relevance. Beyond improving garment fit, this comprehensive integration streamlines design and production processes by reducing the reliance on physical prototypes. This not only enhances efficiency but also contributes to environmental responsibility, fostering a more sustainable and eco-friendly future for the garment industry and embracing the future of fashion, where technology and data converge to create clothing that authentically fits, resonates with consumers, and aligns with the principles of sustainability. This study developed the mobile application integrating with the information in cloud database in order to present the best-suited garment for the user.","url":"https://doi.org/10.3390/su152215839","authors":["Semih Dönmezer","Pınar Demircioğlu","İsmail Böğrekçi","G. Bas","Muhammet Numan Durakbasa"],"tags":["Personalization","Clothing","Mass customization","Building information modeling","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-10","doi":"https://doi.org/10.3390/su152215839","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4417114008","name":"Digital twin technology in smart cities: A step toward intelligent urban management","source":"openalex","abstract":"Digital twins are emerging as a core enabler of smart cities, where growing populations and increasingly complex infrastructures demand responsive, efficient, and sustainable services. This review examines the principles, design choices, and enabling technologies of urban digital twins, and surveys applications across energy, transportation, public safety, and environmental management. Beyond synthesizing prior work, the paper adopts an implementation-oriented view: it organizes twin capabilities into a practical pipeline ingest, synchronize, simulate, predict, decide, actuate and it linked to measurable targets such as latency, synchronicity error, update rate, availability, recovery time, and cost. A capability use case matrix and a Digital-Twin Implementation Readiness Level (DT-IRL) scale are introduced to align technical requirements with real city needs and to stage deployments from concept to closed-loop operation. The review clarifies the role of IoT, AI, big-data analytics, and edge–cloud architectures in achieving real-time performance, and it specifies engineering expectations for immersive services (for example, latency and throughput budgets for holographic communication and 3D streaming). It also details deployable security and privacy measures, including zero-trust controls, confidential computing, federated learning with differential privacy, and ledger backed provenance. Remaining challenges interoperability, standards, cybersecurity, scalability, and organizational readiness are translated into actionable research directions and a roadmap for validation through city-scale pilots, open datasets, and conformance testing.","url":"https://doi.org/10.1016/j.egyr.2025.11.097","authors":["Mourad Yessef","Youness Hakam","Mohamed Tabaa","Mohammed M. Alammar","Z. M. S. Elbarbary"],"tags":["Smart city","Computer science","Enabling","Sociotechnical system","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.1016/j.egyr.2025.11.097","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3167706861","name":"Managing the uncertainty in data-acquisition by in situ measurements: a review and evaluation of sensing machine element-approaches in the context of digital twins","source":"openalex","abstract":"The acquisition of data is important for the digitalisation of production and product development as well as for digital twins. In the scope of this contribution, the integration of sensors close to a process for measuring the quantity of interest at its point of origin is presented. Therefore, a classification of measurement locations in in situ and ex situ measurements based on the complexity of the required transfer path of the quantity of interest and the prevailing uncertainty is proposed. A promising way for sensor integration are sensing machine elements (SMEs), which are suitable for capturing data for digital twins due to their simple applicability, measurement at the point of interest as well as reduced structural changes. In a short overview, possible uncertainties for different measurement locations are presented and potentials as well as challenges for the in situ measurement in the context of digital twins are derived.","url":"https://doi.org/10.1504/ijplm.2021.10038667","authors":["Eckhard Kirchner","Yanik Koch","Maximilian Hausmann"],"tags":["Context (archaeology)","Element (criminal law)","Computer science","In situ","Data acquisition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1504/ijplm.2021.10038667","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4405460991","name":"Integrating Digital Twins and Cyber-Physical Systems for Flexible Energy Management in Manufacturing Facilities: A Conceptual Framework","source":"openalex","abstract":"This paper presents a conceptual framework aimed at integrating Digital Twins and cyber-physical production systems into the energy management of manufacturing facilities. To address the challenges of rising energy costs and environmental impacts, this framework combines digital modeling and customized energy management for direct manufacturing operations. Through a review of the existing literature, essential components such as physical models, a data platform, an energy optimization platform, and various interfaces are identified. Key requirements are defined in terms of functionality, performance, reliability, safety, and additional factors. The proposed framework includes the physical system, data platform, energy management system, and interfaces for both operators and external parties. The goal of this framework is to set the basis for allowing manufacturers to reduce energy consumption and costs during the lifecycle of assets more effectively, thereby improving energy efficiency in smart manufacturing. The study highlights opportunities for further research, such as real-world applications and sophisticated optimization methods. The advancement of Digital Twin technologies holds significant potential for creating more sustainable factories.","url":"https://doi.org/10.3390/electronics13244964","authors":["Gerrit Rolofs","Fabian Wilking","Stefan Goetz","Sandro Wartzack"],"tags":["Cyber-physical system","Conceptual framework","Systems engineering","Conceptual model","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-17","doi":"https://doi.org/10.3390/electronics13244964","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4300484403","name":"Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review","source":"openalex","abstract":"In recent years, artificial intelligence (AI) and learning analytics (LA) have been introduced into the field of education, where their use has great potential to enhance the teaching and learning processes. Researchers have focused on applying these technologies to teacher education, as they see the value of technology for educating. Therefore, a systematic review of the literature on AI and LA in teacher education is necessary to understand their impact in the field. Our methodology follows the PRISMA guidelines, and 30 studies related to teacher education were identified. This review analyzes and discusses the several ways in which AI and LA are being integrated in teacher education based on the studies’ goals, participants, data sources, and the tools used to enhance teaching and learning activities. The findings indicate that (a) there is a focus on studying the behaviors, perceptions, and digital competence of pre- and in-service teachers regarding the use of AI and LA in their teaching practices; (b) the main data sources are behavioral data, discourse data, and statistical data; (c) machine learning algorithms are employed in most of the studies; and (d) the ethical clearance is mentioned by few studies. The implications will be valuable for teachers and educational authorities, informing their decisions regarding the effective use of AI and LA technologies to support teacher education.","url":"https://doi.org/10.3390/educsci12080569","authors":["Sdenka Zobeida Salas‐Pilco","Kejiang Xiao","Xinyun Hu"],"tags":["Competence (human resources)","Teacher education","Computer science","Learning analytics","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-20","doi":"https://doi.org/10.3390/educsci12080569","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4402825656","name":"Digital Twin Framework for Aircraft Lifecycle Management Based on Data-Driven Models","source":"openalex","abstract":"This paper presents a comprehensive framework for implementing digital twins in aircraft lifecycle management, with a focus on using data-driven models to enhance decision-making and operational efficiency. The proposed framework integrates cutting-edge technologies such as IoT sensors, big data analytics, machine learning, 6G communication, and cloud computing to create a robust digital twin ecosystem. This paper explores the key components of the framework, including lifecycle phases, new technologies, and models for digital twins. It discusses the challenges of creating accurate digital twins during aircraft operation and maintenance and proposes solutions using emerging technologies. The framework incorporates physics-based, data-driven, and hybrid models to simulate and predict aircraft behavior. Supporting components like data management, federated learning, and analytics tools enable seamless integration and operation. This paper also examines decision-making models, a knowledge-driven approach, limitations of current implementations, and future research directions. This holistic framework aims to transform fragmented aircraft data into comprehensive, real-time digital representations that can enhance safety, efficiency, and sustainability throughout the aircraft lifecycle.","url":"https://doi.org/10.3390/math12192979","authors":["Igor Kabashkin"],"tags":["Application lifecycle management","System lifecycle","Systems engineering","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-25","doi":"https://doi.org/10.3390/math12192979","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4415399290","name":"Integration of Digital Twins with Reinforcement Learning in Industry: a Systematic Review","source":"openalex","abstract":"While essential for learning, errors are a costly constraint in the industrial sector. Reinforcement Learning (RL), an inherently error-driven technique, shows strong potential in this context. Digital Twins (DTs) help mitigate this limitation by offering risk-free simulation environments where RL agents can learn. This article presents a systematic review of studies that integrate RL and DT to address industrial challenges. Focusing on their convergence, the review organizes the discussion by disciplinary domains, types of RL algorithms, and the collaborative architectures emerging from their integration. Key findings include strategies to manage DT fidelity gaps, wide collaboration in connected automation and manufacturing, and growing applications in specialized domains. The review also identifies patterns in the use of various RL methods and a rising adoption of hybrid architectures across industrial sectors. The complexity of the addressed problems and the maturity of the reported solutions indicate a promising and expanding role for RL-DT integration in industrial digitalization.","url":"https://doi.org/10.1109/etfa65518.2025.11205657","authors":["Marco Ramos","Axel Busboom"],"tags":["Reinforcement learning","Computer science","Automation","Key (lock)","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.1109/etfa65518.2025.11205657","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3150157201","name":"Extrusion-Based 3D Printing Applications of PLA Composites: A Review","source":"openalex","abstract":"Polylactic acid (PLA) is the most widely used raw material in extrusion-based three-dimensional (3D) printing (fused deposition modeling, FDM approach) in many areas since it is biodegradable and environmentally friendly, however its utilization is limited due to some of its disadvantages such as mechanical weakness, water solubility rate, etc. FDM is a simple and more cost-effective fabrication process compared to other 3D printing techniques. Unfortunately, there are deficiencies of the FDM approach, such as mechanical weakness of the FDM parts compared to the parts produced by the conventional injection and compression molding methods. Preparation of PLA composites with suitable additives is the most useful technique to improve the properties of the 3D-printed PLA parts obtained by the FDM method. In the last decade, newly developed PLA composites find large usage areas both in academic and industrial circles. This review focuses on the chemistry and properties of pure PLA and also the preparation methods of the PLA composites which will be used as a raw material in 3D printers. The main drawbacks of the pure PLA filaments and the necessity for the preparation of PLA composites which will be employed in the FDM-based 3D printing applications is also discussed in the first part. The current methods to obtain PLA composites as raw materials to be used as filaments in the extrusion-based 3D printing are given in the second part. The applications of the novel PLA composites by utilizing the FDM-based 3D printing technology in the fields of biomedical, tissue engineering, human bone repair, antibacterial, bioprinting, electrical conductivity, electromagnetic, sensor, battery, automotive, aviation, four-dimensional (4D) printing, smart textile, environmental, and luminescence applications are presented and critically discussed in the third part of this review.","url":"https://doi.org/10.3390/coatings11040390","authors":["Eda Hazal Tümer","H. Yıldırım Erbil"],"tags":["Extrusion","Fused deposition modeling","Polylactic acid","3D printing","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-29","doi":"https://doi.org/10.3390/coatings11040390","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4320035893","name":"Research on coal mine safety management based on digital twin","source":"openalex","abstract":"Coal mine safety management is the foundation and decisive factor of coal mining. The manual detection model is the main way for traditional coal mine safety management, which has problems such as inefficient identification of safety risks in coal mines, poor control accuracy and slow response measures and so on. Therefore, to make up for the shortcomings in the traditional coal mine safety management model, this paper introduces digital twin technology into coal mine safety management to achieve intelligent and efficient management of coal mine safety accidents. Firstly, we introduce the digital twin technology, select the five-dimensional model as the modeling basis, based on the existing twin model architecture, analyze the types of coal mine accidents and disasters, select the most destructive gas accidents as the research object, construct a twin safety management model for coal mine gas accidents using the digital twin five-dimensional model. Secondly, analyses of the actual operation mechanism of the digital twin model, and the advantages of the twin model in achieving prior prevention, rapid response and accurate control of gas incidents are pointed out. Finally, the house of quality of the gas accident digital twin model is established through the quality functional deployment tool, and key technical requirements for the construction of the twin model are given to accelerate the application of the gas accident twin model in the field. This study innovatively introduces digital twin technology into the field of coal mine safety management, proposes the application scenarios of emerging technologies such as digital twins in the coal mine field, and provides the possibility of multi-scene application of smart mine construction and technologies such as digital twins.","url":"https://doi.org/10.1016/j.heliyon.2023.e13608","authors":["Jiaqi Wang","Yanli Huang","Wenrui Zhai","Junmeng Li","Shenyang Ouyang","Huadong Gao","Yahui Liu","Guiyuan Wang"],"tags":["Coal mining","Engineering","Coal","Mining engineering","Waste management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-11","doi":"https://doi.org/10.1016/j.heliyon.2023.e13608","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2592651846","name":"Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews","source":"openalex","abstract":"BACKGROUND: Diabetes is a common chronic disease that places an unprecedented strain on health care systems worldwide. Mobile health technologies such as smartphones, mobile applications, and wearable devices, known as mHealth, offer significant and innovative opportunities for improving patient to provider communication and self-management of diabetes. OBJECTIVE: The purpose of this overview is to critically appraise and consolidate evidence from multiple systematic reviews on the effectiveness of mHealth interventions for patients with diabetes to inform policy makers, practitioners, and researchers. METHODS: A comprehensive search on multiple databases was performed to identify relevant systematic reviews published between January 1996 and December 2015. Two authors independently selected reviews, extracted data, and assessed the methodological quality of included reviews using AMSTAR. RESULTS: Fifteen systematic reviews published between 2008 and 2014 were eligible for inclusion. The quality of the reviews varied considerably and most of them had important methodological limitations. Focusing on systematic reviews that offered the most direct evidence, this overview demonstrates that on average, mHealth interventions improve glycemic control (HbA1c) compared to standard care or other non-mHealth approaches by as much as 0.8% for patients with type 2 diabetes and 0.3% for patients with type 1 diabetes, at least in the short-term (≤12 months). However, limitations in the overall quality of evidence suggest that further research will likely have an important impact in these estimates of effect. CONCLUSIONS: Findings are consistent with clinically relevant improvements, particularly with respect to patients with type 2 diabetes. Similar to home telemonitoring, mHealth interventions represent a promising approach for self-management of diabetes.","url":"https://doi.org/10.1371/journal.pone.0173160","authors":["Spyros Kitsiou","Guy Paré","Mirou Jaana","Ben S. Gerber"],"tags":["mHealth","Systematic review","Psychological intervention","Medicine","MEDLINE"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-03-01","doi":"https://doi.org/10.1371/journal.pone.0173160","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2801598009","name":"Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-018-2001-2","authors":["Ying Cheng","Yongping Zhang","Ping Ji","Wenjun Xu","Zude Zhou","Fei Tao"],"tags":["Cyber-physical system","Key (lock)","Factory (object-oriented programming)","Bridge (graph theory)","Smart manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-04-22","doi":"https://doi.org/10.1007/s00170-018-2001-2","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7128222572","name":"Digital twins in construction: A review of applications and gaps","source":"openalex","abstract":"DT (Digital twin) technology is currently disrupting the construction industry as it allows integration of data for decision making and simulations in real time throughout the life of the construction asset. This article systematically maps the applications, advantages, and digital twin construction technology gaps in the construction industry. Construction professionals were surveyed using structured questionnaires to measure their awareness, application, perceived benefits, and barriers to digital twin technology in construction, and data was analyzed quantitatively. Digital twin technology awareness is indeed high among professionals; however, its practical application is very low owing to high costs, technical challenges, and low digital skills of the workforce. The most common applications are performance monitoring, predictive maintenance, and visualization. However, other applications, including sustainability forecasting and safety planning, are underutilized. This study offers a set of prescriptions to fill the gaps identified in the construction industry. Focusing on building capacity, digital construction unification, construction workforce financial motivation, and construction industry strengthening of cybersecurity frameworks are essential for successfully assimilating digital twins into the practices of the construction industry. The main goal of the digital twin construction technology is to provide smart infrastructure to a user.","url":"https://doi.org/10.30574/ijsra.2022.7.2.0286","authors":["Carlos Oshoke Umoru"],"tags":["Engineering","Workforce","Construction industry","Set (abstract data type)","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-30","doi":"https://doi.org/10.30574/ijsra.2022.7.2.0286","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4410825781","name":"Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview","source":"openalex","abstract":"Abstract Tunnels are essential components of contemporary infrastructure, yet guaranteeing their safety, longevity, and efficiency remains a persistent challenge. Recent breakthroughs in artificial intelligence (AI) and digital twin (DT) technology provide innovative solutions for the real‐time monitoring of tunnel systems, suggesting proactive maintenance tactics and improved safety protocols. This review paper offers a comprehensive examination of the application of AI and DT methodologies in tunnel surveillance. We explore the core concepts of AI and DT and their applicability to structural monitoring, encompassing machine learning, computer vision, and sensor integration. Through the utilization of these AI‐powered technologies, engineers are equipped with unparalleled insights into the state and behavior of tunnels, facilitating the early identification of irregularities and the optimization of maintenance timelines. We discuss the array of AI techniques utilized for the immediate monitoring of tunnel systems, emphasizing their foundations, benefits, and practical uses. Numerous studies have showcased the effectiveness and adaptability of AI‐based monitoring systems in various tunnel settings. Moreover, we address the hurdles and constraints inherent in AI and DT methodologies and suggest strategies for overcoming them, such as data augmentation, interpretable AI, edge computing, and continuous monitoring. Ultimately, the incorporation of AI and DT technologies into tunnel surveillance signifies a paradigm shift, offering substantial advantages over conventional techniques. By adopting AI‐driven monitoring systems, tunnel operators can augment safety, prolong the lifespan of infrastructure, and decrease operational expenses, molding the future of subterranean infrastructure management.","url":"https://doi.org/10.1002/dug2.70029","authors":["Mohammad Afrazi","Danial Jahed Armaghani","Hossein Afrazi","Hadi Fattahi","Pijush Samui"],"tags":["Artificial intelligence","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-28","doi":"https://doi.org/10.1002/dug2.70029","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4391502976","name":"A quantitative digital twin maturity model for underground infrastructure based on D-ANP","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tust.2024.105612","authors":["Tao Li","Yi Rui","Sicheng Zhao","Yu Zhang","Hehua Zhu","Xiaojun Li"],"tags":["Rubric","Computer science","Interdependence","Maturity (psychological)","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-02","doi":"https://doi.org/10.1016/j.tust.2024.105612","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3133773739","name":"The Digital Commons and the Digital Public Sphere: How to Advance Digital Democracy Today","source":"openalex","abstract":"This paper asks: what are the democratic potentials of the digital commons and the digital public sphere? First, the article identifies ten problems of digital capitalism. Second, it engages with the notion of the digital public sphere. Third, it outlines the concept of the digital commons. Fourth, some conclusions are drawn and ten suggestions for advancing digital democracy are presented.This article contributes to theorising and the analysis of digital capitalism, Internet platforms, the digital public sphere, the digital commons, digital democracy, public service Internet platforms, civil society/community Internet platforms, platform co-operatives, open access, corporate/capitalist open access, and diamond open access.This work also outlines ten problems of digital capitalism as well as ten principles of digital progressivism, a politics that advances the public sphere and the commons and thereby (digital) democracy in society.There are natural, economic, political, and cultural dimensions of the commons and the digital commons. Capitalism, public service, and civil society media/community media/cooperatives are three forms of organisation and governing the Internet and digital media/technologies. Capitalism colonises and commodifies the (digital) commons and the (digital) public sphere. Alternative models are located outside of capitalism in the realms of the public sphere and civil society as well as their interactions.","url":"https://doi.org/10.16997/wpcc.917","authors":["Christian Fuchs"],"tags":["Public sphere","Commons","Capitalism","Civil society","Democracy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-25","doi":"https://doi.org/10.16997/wpcc.917","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4293724117","name":"Development of a Cognitive Digital Twin for Pavement Infrastructure Health Monitoring","source":"openalex","abstract":"A road network is the key foundation of any nation’s critical infrastructure. Pavements represent one of the longest-living structures, having a post-construction life of 20–40 years. Currently, most attempts at maintaining and repairing these structures are performed in a reactive and traditional fashion. Recent advances in technology and research have proposed the implementation of costly measures and time-intensive techniques. This research presents a novel automated approach to develop a cognitive twin of a pavement structure by implementing advanced modelling and machine learning techniques from unmanned aerial vehicle (e.g., drone) acquired data. The research established how the twin is initially developed and subsequently capable of detecting current damage on the pavement structure. The proposed method is also compared to the traditional approach of evaluating pavement condition as well as the more advanced method of employing a specialized diagnosis vehicle. This study demonstrated an efficiency enhancement of maintaining pavement infrastructure.","url":"https://doi.org/10.3390/infrastructures7090113","authors":["Cristobal Sierra","Shuva Paul","Akhlaqur Rahman","Ambarish Kulkarni"],"tags":["Drone","Computer science","Key (lock)","Pavement management","Foundation (evidence)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-29","doi":"https://doi.org/10.3390/infrastructures7090113","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4408250835","name":"Innovative AI strategies for enhancing smart building operations through digital twins: A survey","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.enbuild.2025.115567","authors":["Adel Oulefki","Hamza Kheddar","Hamza Kheddar","Abbes Amira","Abbes Amira","Fatih Kurugöllü","Fatih Kurugöllü","Yassine Himeur","Yassine Himeur","Ahcène Bounceur","Ahcène Bounceur"],"tags":["Architectural engineering","Engineering","Computer science","Construction engineering","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-08","doi":"https://doi.org/10.1016/j.enbuild.2025.115567","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4309231081","name":"An Outlook of Digital Twins in Offensive Military Cyber Operations","source":"openalex","abstract":"The outlook of military cyber operations is changing due to the prospects of data generation and accessibility, continuous technological advancements and their (public) availability, technological and human (inter)connections increase, plus the dynamism, needs, diverse nature, perspectives, and skills of experts involved in their planning, execution, and assessment phases respecting (inter)national aims, demands, and trends. Such operations are daily conducted and recently empowered by AI to reach or protect their targets and deal with the unintended effects produced through their engagement on them and/or collateral entities. However, these operations are governed and surrounded by different uncertainty levels e.g., intended effects prediction, consideration of effective alternatives, and understanding new dimensions of possible (strategic) future(s). Hence, the legality and ethicality of such operations should be assured; particularly, in Offensive Military Cyber Operations (OMCO), the agents involved in their design/deployment should consider, develop, and propose proper (intelligent) measures/methods. Such mechanisms can be built embedding intelligent techniques based on hardware, software, and communication data plus expert-knowledge through novel systems like digital twins. While digital twins find themselves in their infancy in military, cyber, and AI academic research and discourses, they started to show their modelling and simulation potential and effective real-time decision support in different industry applications. Nevertheless, this research aims to (i) understand what digital twins mean in OMCO context while embedding explainable AI and responsible AI perspectives, and (ii) capture challenges and benefits of their development. Accordingly, a multidisciplinary stance is considered through extensive review in the domains involved packaged in a design framework meant to assist the agents involved in their development and deployment.","url":"https://doi.org/10.34190/eciair.4.1.765","authors":["Clara Maathuis"],"tags":["Offensive","Software deployment","Computer science","Context (archaeology)","Unintended consequences"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-17","doi":"https://doi.org/10.34190/eciair.4.1.765","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W7155569731","name":"DIGITAL TWIN TECHNOLOGY: A REVIEW OF APPLICATIONS AND CHALLENGES","source":"openalex","abstract":"“Twins” this immediate reminds two people who look alike. Although real-life twins may share genetic materials, features and common experiences, they will be made up of diverse events and lifestyle during life time. Digital twins can be perplexing term when it comes to understanding precisely what they are. A digital twin is a replica of an object, process or service in the physical world. Today “Digital Twin technology” are used in diverse industries for various application. This study is an attempt to understand the “Digital Twin Technology”, its framework and its impact on sectors such as manufacturing, automobile, port, aerospace, etc. As digital twin technology can be as complex and simple as require, so, the study also focuses on various challenges faced in its implementation","url":"https://doi.org/10.58532/v2bs6p4ch4","authors":["Shailendra Pawaskar","Ravindra Dhonde"],"tags":["Computer science","Process (computing)","Service (business)","Simple (philosophy)","Replica"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.58532/v2bs6p4ch4","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4290634391","name":"Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions","source":"openalex","abstract":"Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation and forecasting. However, the theoretical framework and practical implementations of digital twins (DT) are still far from this vision. Although successful implementations exist, sufficient implementation details are not publicly available, therefore it is difficult to assess their effectiveness, draw comparisons and jointly advance the DT methodology. This work explores the various DT features and current approaches, the shortcomings and reasons behind the delay in the implementation and adoption of digital twin. Advancements in machine learning, internet of things and big data have contributed hugely to the improvements in DT with regards to its real-time monitoring and forecasting properties. Despite this progress and individual company-based efforts, certain research gaps exist in the field, which have caused delay in the widespread adoption of this concept. We reviewed relevant works and identified that the major reasons for this delay are the lack of a universal reference framework, domain dependence, security concerns of shared data, reliance of digital twin on other technologies, and lack of quantitative metrics. We define the necessary components of a digital twin required for a universal reference framework, which also validate its uniqueness as a concept compared to similar concepts like simulation, autonomous systems, etc. This work further assesses the digital twin applications in different domains and the current state of machine learning and big data in it. It thus answers and identifies novel research questions, both of which will help to better understand and advance the theory and practice of digital twins.","url":"https://doi.org/10.48550/arxiv.2011.02833","authors":["Angira Sharma","Edward Elson Kosasih","Jie Zhang","Alexandra Brintrup","Anisoara Calinescu"],"tags":["Implementation","Computer science","Field (mathematics)","Data science","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-02","doi":"https://doi.org/10.48550/arxiv.2011.02833","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4385553889","name":"A systematic review of the BIM in construction: from smart building management to interoperability of BIM & AI","source":"openalex","abstract":"The main purpose of this study is to provide insight into the trend of AI-BIM integration, which has been studied by scholars around the world. To begin, a systematic review and bibliometric analysis was conducted to investigate English articles published between 2015 and 2022. This paper presents a systematic, scientometric, science mapping analysis through qualitative and quantitative evaluation and co-occurrence methods using VOSviewer, CiteSpace, and Gephi software. Conclusions indicate future research should concentrate on integrating AI and other smart systems with BIM to enhance digitalization and improve outcomes throughout the construction project life cycle. Based on the qualitative and quantitative evaluation of each scope (BIM and AI) and their status quo, this study suggests integrating the following domains with BIM to reduce complexity in the construction industry in the future: robotics, cloud systems, AIOT, digital twins, 4D printing, and block chain.","url":"https://doi.org/10.1080/00038628.2023.2243247","authors":["Ali Akbar Heidari","Yaghowb Peyvastehgar","Mohammad Amanzadegan"],"tags":["Building information modeling","Interoperability","Scope (computer science)","Facility management","Systematic review"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-03","doi":"https://doi.org/10.1080/00038628.2023.2243247","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4400980215","name":"Digitalization of agriculture for sustainable crop production: a use-case review","source":"openalex","abstract":"The digitalization of agriculture is rapidly changing the way farmers do business. With the integration of advanced technology, farmers are now able to increase efficiency, productivity, and precision in their operations. Digitalization allows for real-time monitoring and management of crops, leading to improved yields and reduced waste. This paper presents a review of some of the use cases that digitalization has made an impact in the automation of open-field and closed-field cultivations by means of collecting data about soils, crop growth, and microclimate, or by contributing to more accurate decisions about water usage and fertilizer application. The objective was to address some of the most recent technological advances that are leading to increased efficiency and sustainability of crop production, reduction in the use of inputs and environmental impacts, and releasing manual workforces from repetitive field tasks. The short discussions included at the end of each case study attempt to highlight the limitations and technological challenges toward successful implementations, as well as to introduce alternative solutions and methods that are rapidly evolving to offer a vast array of benefits for farmers by influencing cost-saving measures. This review concludes that despite the many benefits of digitalization, there are still a number of challenges that need to be overcome, including high costs, reliability, and scalability. Most of the available setups that are currently used for this purpose have been custom designed for specific tasks and are still too expensive to be implemented on commercial scales, while others are still in their early stages of development, making them not reliable or scalable for widespread acceptance and adoption by farmers. By providing a comprehensive understanding of the current state of digitalization in agriculture and its impact on sustainable crop production and food security, this review provides insights for policy-makers, industry stakeholders, and researchers working in this field.","url":"https://doi.org/10.3389/fenvs.2024.1375193","authors":["Redmond R. Shamshiri","Barbara Sturm","Cornelia Weltzien","John P. Fulton","Raj Khosla","Michael Schirrmann","Sharvari Raut","Deepak Hanike Basavegowda","Muhammad Yamin","Ibrahim A. Hameed"],"tags":["Crop production","Production (economics)","Sustainable agriculture","Agriculture","Sustainable production"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-25","doi":"https://doi.org/10.3389/fenvs.2024.1375193","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4365150881","name":"Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris","source":"openalex","abstract":"April 15th, 2019: Notre-Dame Cathedral in Paris was burning, the spire collapsed on the nave, vaults crumbled and most of the timber roof was gone. In the post-disaster context, the authenticity and the monitoring of the archaeological remains are crucial for their potential reuse during reconstruction. This paper analyzes the collapsed transverse arch from the nave of Notre-Dame as a case study of reconstruction, using the digital twin framework. We propose four facets for the digital twin experiment-physical anastylosis, reverse engineering, spatio-temporal tracking of assets, and operational research-that are described in detail, while being assembled to support a hybrid reconstruction hypothesis. The digital twin can realize the parallel unfolding of physical-native and digital-native processes, while acquiring and storing heterogeneous information as semantically structured data. The results demonstrate that the proposed modeling method facilitates the formalization and validation of the reconstruction problem and increases solutions performances. As result, we present a digital twin framework application ranging from acquisition to data processing that informs a successful hybrid reconstruction hypothesis.","url":"https://doi.org/10.1038/s41598-023-32504-9","authors":["Antoine Gros","Anaïs Guillem","Livio De Luca","Élise Baillieul","Benoît Duvocelle","Olivier Malavergne","Lise Leroux","Thierry Zimmer"],"tags":["Faceting","Process (computing)","Computer science","Data science","Chemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-12","doi":"https://doi.org/10.1038/s41598-023-32504-9","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4220998649","name":"A systematic literature review for digital business ecosystems in the manufacturing industry: Prerequisites, challenges, and benefits","source":"openalex","abstract":"Digitalization has disrupted how organizations collaborate and compete resulting in the development of new collaborative value-creation networks such as the Digital Business Ecosystem (DBE). A literature review shows that DBEs are being studied by various scholars from different perspectives in manufacturing. Digital Business Ecosystem is studied in many contexts in manufacturing, and it is creating both opportunities and challenges for manufacturing. By providing a systematic literature review of the prerequisites, challenges, and benefits of DBEs for manufacturing, this paper helps to alleviate this shortcoming and reveals how digital business ecosystems can dramatically impact the industry. A total of 149 research journal articles were included in this literature review, which uncovered nine prerequisites, eight challenges, and eight benefits for DBEs and led to five trends for future study. Also noted are practical issues that managers who work in manufacturing DBEs should address.","url":"https://doi.org/10.1016/j.cirpj.2022.02.016","authors":["Sami Suuronen","Juhani Ukko","Roope Eskola","R. Scott Semken","Hannu Rantanen"],"tags":["Business ecosystem","Systematic review","Manufacturing","Business","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-07","doi":"https://doi.org/10.1016/j.cirpj.2022.02.016","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4387647935","name":"Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects","source":"openalex","abstract":"This study explores the potential of AI to enable circular business model innovation (CBMI) for industrial manufacturers and the corresponding AI capacities and dynamic capabilities required for their commercialization. Employing an analysis of six leading B2B firms engaged in digital servitization, we conceptualize the perceptive, predictive, and prescriptive capacities of AI, which enhance resource efficiency by automating and augmenting data-driven analysis and decision making. We further identify two innovative classes of AI-enabled CBMs – augmentation (e.g., optimization solutions) and automation (e.g., autonomous solutions) business models – and their main circular value drivers. Finally, our research reveals novel dynamic capabilities underpinning the innovation of AI-enabled business models – value discovery, value realization, and value optimization capabilities – which enable manufacturers to make economic and sustainable values come to life in collaborating with customers and ecosystem partners. This study represents an important step in our understanding of how AI can drive circularity and sustainable innovation in industrial digital servitization. Overall, our study contributes to practice and the academic literature on AI, circular business models, and digital servitization by highlighting the potential of AI to empower CBMs for industrial manufacturers and the underlying processes of this digital transformation.","url":"https://doi.org/10.1016/j.techfore.2023.122903","authors":["David Sjödin","Vinit Parida","Marko Kohtamäki"],"tags":["Business model","Commercialization","Circular economy","Dynamic capabilities","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-13","doi":"https://doi.org/10.1016/j.techfore.2023.122903","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4395040662","name":"An insight in the future of healthcare: integrating digital twin for personalized medicine","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12553-024-00869-0","authors":["M. Suchetha","S. Preethi","Kalyana C. Veluvolu","Rajiv Raman"],"tags":["Health care","Context (archaeology)","Digital health","Knowledge management","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-23","doi":"https://doi.org/10.1007/s12553-024-00869-0","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3040613403","name":"An appraisal of literature for design and implementation of developing a framework for digital twin and validation through case studies","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12553-020-00443-4","authors":["Sanjay Mohapatra","Sayan Bose"],"tags":["Computer science","Construct (python library)","Robustness (evolution)","Implementation research","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-04","doi":"https://doi.org/10.1007/s12553-020-00443-4","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3092377978","name":"Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control","source":"openalex","abstract":"Digital twins are regarded as enablers of smart and autonomous manufacturing systems. The digital twin concept essentially refers to a ultra-realistic digital model of a products or system, coupled by a bidirectional automated data exchange, used for simulation, optimization, and control. Although the concept has gained significant attention, its conceptual basis is still weak. We review common definitions and descriptions of digital twins and refine the concept in system theoretic terms. With this sharpened perspective on digital twins, we sketch out three basic problems that need to be solved to turn a digital model into a digital twin. To that end, we call attention to challenges that need to be researched into.","url":"https://doi.org/10.1109/case48305.2020.9216822","authors":["Constantin Cronrath","Ludvig Ekstrom","Bengt Lennartson"],"tags":["Sketch","Computer science","Perspective (graphical)","Control (management)","Digital control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-01","doi":"https://doi.org/10.1109/case48305.2020.9216822","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4399246435","name":"Advancements in remote sensing for active fire detection: A review of datasets and methods","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2024.173273","authors":["Songxi Yang","Qunying Huang","Manzhu Yu"],"tags":["Remote sensing","Fire detection","Environmental science","Computer science","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-31","doi":"https://doi.org/10.1016/j.scitotenv.2024.173273","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3207826506","name":"Digital Twin","source":"openalex","abstract":"Internet of Drones (IoDs) are the emerging form of futuristic IOT devices where unmanned aerial vehicles have a complete network connection capability using internet. Nowadays, IoDs have been widely used in different application areas such as military missions, civilian purposes, disaster management, traffic surveillance and many more. These IoDs use different approaches to accomplish targets by following some paths using its sensors’ range. With the proliferation of IODs in different operations, improvement is required in the functionality related to autonomy and remote sensing capability for the purpose of capturing robust real time obstacle detection and avoidance system. But IoDs still suffer from many problems such as the drainage of energy, building a communication link, automating the task of detection, management of traffic, maintaining quality of services, etc. To overcome these problems, machine learning (ML) and deep learning (DL) algorithms have proved to provide promising alternative for enhancing the functionality of IoDs in the real-world realms. This chapter reviews the most recent development of IoDs based on ML and DL approaches. It provides the detailed explanation about different techniques of ML and DL used for improving the model of IoDs with the aspect of navigation, battery scheduling, object tracking and collision avoidance and security. The impacts of ML and DL algorithms on the operations performed by IoDs are also analyzed. It includes various challenges and gaps present in the current scenario, to allow future researchers to develop solutions for designing new generation Internet of Drones.","url":"https://doi.org/10.1201/9781003132868-2","authors":["J. R. Arora","Meena Tushir"],"tags":["Computer science","Geology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-03","doi":"https://doi.org/10.1201/9781003132868-2","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4401392884","name":"Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration","source":"openalex","abstract":"The aim of this paper is to synthesize and analyze existing evidence on interconnected sensor networks and digital urban governance in data-driven smart sustainable cities. The research topic of this systematic review is whether and to what extent smart city governance can effectively integrate the Internet of Things (IoT), Artificial Intelligence of Things (AIoT), intelligent decision algorithms based on big data technologies, and cloud computing. This is relevant since smart cities place special emphasis on the involvement of citizens in decision-making processes and sustainable urban development. To investigate the work to date, search outcome management and systematic review screening procedures were handled by PRISMA and Shiny app flow design. A quantitative literature review was carried out in June 2024 for published original and review research between 2018 and 2024. For qualitative and quantitative data management and analysis in the research review process, data extraction tools, study screening, reference management software, evidence map visualization, machine learning classifiers, and reference management software were harnessed. Dimensions and VOSviewer were deployed to explore and visualize the bibliometric data.","url":"https://doi.org/10.3390/su16166749","authors":["Ani Matei","Mădălina Cocoșatu"],"tags":["Blockchain","Cloud computing","Internet of Things","Smart city","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-07","doi":"https://doi.org/10.3390/su16166749","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4390670783","name":"A digital twin solution for floating offshore wind turbines validated using a full-scale prototype","source":"openalex","abstract":"Abstract. In this work, we implement, verify, and validate a physics-based digital twin solution applied to a floating offshore wind turbine. The digital twin is validated using measurement data from the full-scale TetraSpar prototype. We focus on the estimation of the aerodynamic loads, wind speed, and section loads along the tower, with the aim of estimating the fatigue lifetime of the tower. Our digital twin solution integrates (1) a Kalman filter to estimate the structural states based on a linear model of the structure and measurements from the turbine, (2) an aerodynamic estimator, and (3) a physics-based virtual sensing procedure to obtain the loads along the tower. The digital twin relies on a set of measurements that are expected to be available on any existing wind turbine (power, pitch, rotor speed, and tower acceleration) and motion sensors that are likely to be standard measurements for a floating platform (inclinometers and GPS sensors). We explore two different pathways to obtain physics-based models: a suite of dedicated Python tools implemented as part of this work and the OpenFAST linearization feature. In our final version of the digital twin, we use components from both approaches. We perform different numerical experiments to verify the individual models of the digital twin. In this simulation realm, we obtain estimated damage equivalent loads of the tower fore–aft bending moment with an accuracy of approximately 5 % to 10 %. When comparing the digital twin estimations with the measurements from the TetraSpar prototype, the errors increased to 10 %–15 % on average. Overall, the accuracy of the results is promising and demonstrates the possibility of using digital twin solutions to estimate fatigue loads on floating offshore wind turbines. A natural continuation of this work would be to implement the monitoring and diagnostics aspect of the digital twin to inform operation and maintenance decisions. The digital twin solution is provided with examples as part of an open-source repository.","url":"https://doi.org/10.5194/wes-9-1-2024","authors":["Emmanuel Branlard","Jason Jonkman","Cameron Brown","Jiatian Zhang"],"tags":["Turbine","Aerodynamics","Computer science","Offshore wind power","Inclinometer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-08","doi":"https://doi.org/10.5194/wes-9-1-2024","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4386716978","name":"Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-43670-3_6","authors":["Micha Stoidner","Patrick Bründl","Huong Giang Nguyen","Andreas Baechler","Jörg Franke"],"tags":["Factory (object-oriented programming)","Manufacturing engineering","Lean manufacturing","Engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-43670-3_6","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4414026637","name":"Digital twin for sustainable decision-making in building net zero carbon retrofitting: a systematic review","source":"openalex","abstract":"Purpose Digital twin (DT) is an innovative concept within the construction sector that utilizes real-world performance data to create a virtual model, enabling optimized decision-making. Building net zero carbon (NZC) retrofitting offers an opportunity to reduce global carbon emissions. However, decision-makers face challenges in making smart and sustainable decisions in NZC retrofitting. DT can improve the smartness and sustainability of the decision-making practice in NZC retrofitting, providing promising solutions. Hence, this study assesses the potential of DT for smart and sustainable decision-making in NZC retrofitting. Design/methodology/approach This study used a three-stage methodology, which included initial work, systematic review and analysis and discussion. Accordingly, the study investigated 29 relevant academic publications on DT and building retrofitting to NZC, using content analysis as the major analytical approach. Findings The findings demonstrated the effective application of DT in assessing carbon emissions, energy usage, comfort levels and financial savings within the context of building NZC retrofitting. However, it highlighted a lack of integrated focus on the environmental, social and economic pillars of sustainability in NZC retrofitting. Furthermore, the review identified the technologies utilized in implementing DT for building NZC retrofitting as data-related, modeling-related and model simulation-related technologies. Centered on the identified gaps, the study provides recommendations for building NZC retrofitting. Originality/value The identified gaps and proposed directions would guide future researchers interested in implementing DT to make sustainable decisions in building NZC retrofitting.","url":"https://doi.org/10.1108/bepam-03-2025-0090","authors":["Lichini Nikesha Kumari Weerasinghe","Amos Darko","Albert P.C. Chan","Bo Xiao"],"tags":["Retrofitting","Zero (linguistics)","Net (polyhedron)","Zero-energy building","Zero emission"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-05","doi":"https://doi.org/10.1108/bepam-03-2025-0090","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3081449106","name":"Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-57997-5_28","authors":["Erik Flores-García","Goo-Young Kim","Jinho Yang","Magnus Wiktorsson","Sang Do Noh"],"tags":["Enabling","Cyber-physical system","Extant taxon","Discrete event simulation","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-57997-5_28","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4318205606","name":"Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D printing of materials and cellular metamaterials","source":"openalex","abstract":"Extensive research on nature-inspired cellular metamaterials has globally inspired innovations using single material and limited multifunctionality. Additive manufacturing (AM) of intricate geometries using multi-materials provides additional functionality, environmental adaptation, and improved mechanical properties. Recently, several studies have been conducted on multi-material additive manufacturing (MMAM) technologies, including multi-materials, methodologies, design, and optimization. However, in the past six years, very few or no systematic and complete reviews have been conducted in this research domain. This review intends to comprehensively summarize MMAM systems and the working principles of its fundamental processes. Herein, the Multi-material combinations and their design, modeling, and analysis strategies have been reviewed systematically. In particular, the focus is on applications and opportunities for using MMAM for several industries and postprocessing MMAM fabricated parts. Furthermore, this review identified the limitations and challenges of existing software packages, MMAM processes, materials, and joining mechanisms, especially at the multi-material interfaces. Finally, we discuss the possible strategies to overcome the aforementioned technological challenges and state the future directions, which will provide insights to researchers and engineers designing and manufacturing complex nature-inspired objects.","url":"https://doi.org/10.1016/j.matdes.2023.111661","authors":["Aamer Nazir","Ozkan Gokcekaya","Kazi Md Masum Billah","Onur Ertuğrul","Jingchao Jiang","Jiayu Sun","Sajjad Hussain"],"tags":["3D printing","Metamaterial","Adaptation (eye)","Computer science","Nanotechnology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-27","doi":"https://doi.org/10.1016/j.matdes.2023.111661","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392593168","name":"What impedes digital twin from revolutionizing agro-food supply chain? Analysis of barriers and strategy development for mitigation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12063-024-00444-w","authors":["Vinay Surendra Yadav","Abhijit Majumdar"],"tags":["Digitization","Supply chain","Business","Process (computing)","Government (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-08","doi":"https://doi.org/10.1007/s12063-024-00444-w","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2515070191","name":"Digital Scholarly Editing","source":"openalex","abstract":"This volume presents the state of the art in digital scholarly editing. Drawing together the work of established and emerging researchers, it gives pause at a crucial moment in the history of technology in order to offer a sustained reflection on the practices involved in producing, editing and reading digital scholarly editions—and the theories that underpin them. The unrelenting progress of computer technology has changed the nature of textual scholarship at the most fundamental level: the way editors and scholars work, the tools they use to do such work and the research questions they attempt to answer have all been affected.","url":"https://doi.org/10.11647/obp.0095","authors":["Matthew James Driscoll","Elena Pierazzo"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-08-15","doi":"https://doi.org/10.11647/obp.0095","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3129727108","name":"The hype factor of digital technologies in AEC","source":"openalex","abstract":"Purpose This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation, digital twin, virtual reality, 3D printing, drones, cloud computing and self-driving vehicles) that are portrayed in future trend reports and hype curves. The study concentrates on the current usage and knowledge of digital technologies in the Swedish architecture, engineering and construction (AEC) industry to gain an insight in the possible expectations and future trajectory of these digital technologies. Design/methodology/approach The study applies an abductive approach which is based on three different types of methods. These methods are a literature and document study which focused on 11 digital technologies, two workshops with industry (13 participants) and an online survey (N = 84). Findings The paper contributes to a current state analysis of the Swedish AEC industry concerning digital technologies and discusses the trajectory of these technologies for the AEC industry. The paper identifies hype factors, in which the knowledge of a digital technology is related to its usage. From the hype factors, four zones that show different stages of digital technology usage and maturity in the industry are induced. Originality/value The contribution of the paper is twofold. The paper shows insight into opportunities, the current barriers, use and knowledge of digital technologies for the different actors in the AEC industry. Furthermore, the study shows that the AEC industry is behind the traditional Gartner hype curves and contributes with defining four zones for digital technologies for the Swedish AEC industry: confusion, excitement, experimentation and integration.","url":"https://doi.org/10.1108/ci-01-2020-0002","authors":["Petra Bosch‐Sijtsema","Christina Claeson-Jonsson","Mikael Johansson","Mattias Roupé"],"tags":["Industry 4.0","Originality","Cloud computing","Emerging technologies","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-23","doi":"https://doi.org/10.1108/ci-01-2020-0002","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3127062752","name":"Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development","source":"openalex","abstract":"Cyber-Physical Systems (CPS) form the new backbone of digital ecosystems. Upcoming CPS will be operated on a unifying basis, the Internet of Behaviors (IoB). It features autonomous while federated CPS architectures and requires corresponding behavior modeling for design and control. CPS design and control involves stakeholders in different roles with different expertise accessing behavior models, termed Digital twins. They mirror the physical CPS part and integrate it with the digital part. Representing role-specific behaviors and provided with automated execution capabilities Digital twins facilitate dynamic adaptation and (re-)configuration. This paper proposes to conceptualize agent-based design for behavior-based Digital twins through subject-oriented models. These models can be executed and, thus, increase the transparency at design and runtime. Patterns recognizing environmental factors and operation details facilitate the configuration of CPS. Subject-oriented runtime support enables dynamic adaptation and the federated use of CPS components.","url":"https://doi.org/10.3390/s21041096","authors":["Christian Stary"],"tags":["Cyber-physical system","Adaptation (eye)","Computer science","Transparency (behavior)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-05","doi":"https://doi.org/10.3390/s21041096","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2793098184","name":"Mechanisms leading to the 2016 giant twin glacier collapses, Aru Range, Tibet","source":"openalex","abstract":"Abstract. In north-western Tibet (34.0∘ N, 82.2∘ E) near lake Aru Co, the entire ablation areas of two glaciers (Aru-1 and Aru-2) suddenly collapsed on 17 July and 21 September 2016. The masses transformed into ice avalanches with volumes of 68 and 83×106 m3 and ran out up to 7 km in horizontal distance, killing nine people. The only similar event currently documented is the 130×106 m3 Kolka Glacier rock and ice avalanche of 2002 (Caucasus Mountains). Using climatic reanalysis, remote sensing, and three-dimensional thermo-mechanical modelling, we reconstructed the Aru glaciers' thermal regimes, thicknesses, velocities, basal shear stresses, and ice damage prior to the collapse in detail. Thereby, we highlight the potential of using emergence velocities to constrain basal friction in mountain glacier models. We show that the frictional change leading to the Aru collapses occurred in the temperate areas of the polythermal glaciers and is not related to a rapid thawing of cold-based ice. The two glaciers experienced a similar stress transfer from predominant basal drag towards predominant lateral shearing in the detachment areas and during the 5–6 years before the collapses. A high-friction patch is found under the Aru-2 glacier tongue, but not under the Aru-1 glacier. This difference led to disparate behaviour of both glaciers, making the development of the instability more visible for the Aru-1 glacier through enhanced crevassing and terminus advance over a longer period. In comparison, these signs were observable only over a few days to weeks (crevasses) or were absent (advance) for the Aru-2 glacier. Field investigations reveal that those two glaciers were underlain by soft, highly erodible, and fine-grained sedimentary lithologies. We propose that the specific bedrock lithology played a key role in the two Tibet and the Caucasus Mountains giant glacier collapses documented to date by producing low bed roughness and large amounts of till, rich in clay and silt with a low friction angle. The twin 2016 Aru collapses would thus have been driven by a failing basal substrate linked to increasing pore water pressure in the subglacial drainage system in response to increases in surface melting and rain during the 5–6 years preceding the collapse dates.","url":"https://doi.org/10.5194/tc-12-2883-2018","authors":["Adrien Gilbert","Silvan Leinss","Jeffrey S. Kargel","Andreas Kääb","Simon Gascoin","G. J. Leonard","Étienne Berthier","Alina Karki","Tandong Yao"],"tags":["Glacier","Geology","Ice tongue","Glacier morphology","Surge"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-09-07","doi":"https://doi.org/10.5194/tc-12-2883-2018","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4412103547","name":"Artificial intelligence and digital twins for the personalised prediction of hypertension risk","source":"openalex","abstract":"Hypertension is a significant global health challenge, contributing substantially to morbidity and mortality through its association with various cardiovascular diseases. Traditional approaches to hypertension risk prediction, which rely on broad epidemiological data and common risk factors, often fail to account for individual variability, highlighting the need for advanced data-driven methodologies. This review examines the role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing the prediction of hypertension risk by incorporating a range of data sources, including clinical, lifestyle, and genetic factors. Despite promising developments, challenges such as data standardisation, the need for high-quality datasets, model explainability, and class imbalance in medical data persist. The integration of wearable technologies, alongside the potential of emerging technologies in healthcare such as digital twins, presents significant opportunities in personalising care through the dynamic modelling of individual health profiles. This review synthesises current methodologies, identifies existing gaps, and highlights the transformative potential of AI-driven, personalised hypertension prevention and management, emphasising the importance of addressing issues of reproducibility and transparency to facilitate clinical adoption.","url":"https://doi.org/10.1016/j.compbiomed.2025.110718","authors":["Akhil Naik","Jakub Nalepa","Agata M. Wijata","J.R. Mahon","Dharmesh Mistry","Adam T Knowles","Ellen A. Dawson","Gregory Y.H. Lip","Iván Olier","Sandra Ortega‐Martorell"],"tags":["Computer science","Artificial intelligence","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-08","doi":"https://doi.org/10.1016/j.compbiomed.2025.110718","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4407448845","name":"Corrections to “A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges”","source":"openalex","abstract":"Presents corrections to the paper, “A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges.”","url":"https://doi.org/10.1109/access.2025.3538272","authors":["Md Doulotuzzaman Xames","Taylan G. Topcu"],"tags":["Realization (probability)","Computer science","Systematic review","Health care","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3538272","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4221007258","name":"A digital twin for simulating the vertebroplasty procedure and its impact on mechanical stability of vertebra in cancer patients","source":"openalex","abstract":"We present the application of ReconGAN, introduced in a previous study, for simulating the vertebroplasty (VP) operation and its impact on the fracture response of a vertebral body. ReconGAN consists of a Deep Convolutional Generative Adversarial Network (DCGAN) and a finite element based shape optimization algorithm to virtually reconstruct the trabecular bone microstructure. The VP procedure involves injecting shear-thinning liquid bone cement through a needle in the trabecular region to reinforce a diseased or fractured vertebra. To simulate this treatment modality, computational fluid dynamics (CFD) is employed to predict the morphology of the injected cement within the bone microstructure. A power-law equation is utilized to characterize the non-Newtonian shear-thinning behavior of the polymethyl methacrylate (PMMA) bone cement during injection simulations. The CFD model is coupled with the level-set method to simulate the motion of the interface separating bone cement and bone marrow. After predicting the cement morphology, a data co-registration algorithm is employed to transform the CFD model to a high-fidelity continuum damage mechanics (CDM) finite element model of the augmented vertebra for predicting the fracture response. A feasibility study is presented to demonstrate the ability of this CFD-CDM framework to investigate the effect of VP on the mechanical integrity of the vertebral body in a cancer patient with a lytic metastatic tumor.","url":"https://doi.org/10.1002/cnm.3600","authors":["Hossein Ahmadian","Prasath Mageswaran","Benjamin A. Walter","Dukagjin Blakaj","Eric C. Bourekas","Ehud Mendel","William S. Marras","Soheil Soghrati"],"tags":["Finite element method","Vertebra","Materials science","Computational fluid dynamics","Bone cement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-29","doi":"https://doi.org/10.1002/cnm.3600","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4408224055","name":"Digital twin technology in electric and self-navigating vehicles: Readiness, convergence, and future directions","source":"openalex","abstract":"Digital Twin (DT) technology, which creates digital replicas of physical systems, significantly enhances the lifecycle of complex items, systems, and processes. It is especially important in the automotive industry for improving the design, construction, and operation of Electric Vehicles (EVs). Digital Twins make EVs safer, more comfortable, and more enjoyable to drive, thereby enhancing user experience. As mobility systems evolve to become more intelligent and eco-friendlier, electric and self-navigating vehicles are increasingly replacing internal combustion engine vehicles by leveraging technologies such as IoT, Big Data, AI, ML, and 5G. Significant contribution of transportation to global CO2 emissions underscores the need for sustainable practices. Smart EVs, capable of significantly reducing emissions, require innovative architectures like DTs for optimal performance. The advancement of data analytics and IoT has accelerated the adoption of DTs to increase the efficiency of system design, construction, and operation. EV batteries, being the most expensive components, necessitate thorough analysis for State of Charge (SoC) and State of Health (SoH). This review examines the application of DT technology in Intelligent Transportation Systems (ITS), addressing challenges with particular attention on issues regarding monitoring, tracking, battery and charge administration, communication, assurance, and safety. It also explores current trends in EV energy storage technologies and the crucial role of Digital Twins in optimizing battery systems. This technology enables comprehensive digital lifecycle analysis, enhancing battery management efficiency through optimal models for SoC and SoH assessments. Additionally, this review provides insights into various models, future challenges, and discusses DTs for EV battery systems, highlighting case studies, characteristics, and technological opportunities. • Digital Twin (DT) Technology: Creates digital replicas of physical systems to improve lifecycle management. • Importance in Automotive Industry: Enhances EV design, safety, comfort, and user experience. • Smart, Ecofriendly Mobility Systems: EVs and autonomous vehicles are replacing internal combustion engine vehicles, using IoT, Big Data, AI, ML, and 5G. • Environmental Impact: Transportation’s significant CO2 emissions make sustainable practice s essential. • Role of DTs in Smart EVs: Optimize performance and efficiency through data analytics and IoT. • EV Battery Analysis: DTs aid in State of Charge (SoC) and State of Health (SoH) analysis. • Challenges in ITS: Address monitoring, battery management, communication, and safety in Intelligent Transportation Systems. • Trends and Opportunities: Current trends in EV energy storage and DTs’ role in battery optimization, highlighting models, challenges, and opportunities.","url":"https://doi.org/10.1016/j.ecmx.2025.100949","authors":["Uma Ravi Sankar Yalavarthy","N Bharath Kumar","A Babu","Rajanand Patnaik Narasipuram","Sanjeevikumar Padmanaban"],"tags":["Convergence (economics)","Computer science","Electric cars","Human–computer interaction","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-07","doi":"https://doi.org/10.1016/j.ecmx.2025.100949","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4408866902","name":"Use of Digital Twin Technologies in Facility Management and Related Industries: A Bibliometric Review","source":"openalex","abstract":"Digital twin (DT) technology is one of the technological innovations that has transformed the discipline of facility management (FM); it has changed the way facility management practices are planned and executed. Therefore, it is important to consider the current status and future development trends of this field in the academic community. This study explores the application of digital twins in facility management and related fields by creating a visual description of relevant research topics to improve understanding. This bibliometric analysis of DT-FM was conducted in the records of the past 5 years (2019 to 2025) of the WOS database, and 147 DT-FM-related publications were analyzed using Citespace and R-Bibliometrix software. Trends in DT applications in FM include technology integration and innovation, implementation and adoption strategies, sustainability and energy efficiency, education and professional development, and data management and analysis. Overall, this study enriches a relatively new and rapidly developing field and proposes possible future research paths to further develop this field.","url":"https://doi.org/10.54097/8vggtq23","authors":["Yuming Shi"],"tags":["Facility management","Computer science","Engineering","Data science","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-26","doi":"https://doi.org/10.54097/8vggtq23","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4392819024","name":"Big data in Earth science: Emerging practice and promise","source":"openalex","abstract":"Improvements in the number and resolution of Earth- and satellite-based sensors coupled with finer-resolution models have resulted in an explosion in the volume of Earth science data. This data-rich environment is changing the practice of Earth science, extending it beyond discovery and applied science to new realms. This Review highlights recent big data applications in three subdisciplines-hydrology, oceanography, and atmospheric science. We illustrate how big data relate to contemporary challenges in science: replicability and reproducibility and the transition from raw data to information products. Big data provide unprecedented opportunities to enhance our understanding of Earth's complex patterns and interactions. The emergence of digital twins enables us to learn from the past, understand the current state, and improve the accuracy of future predictions.","url":"https://doi.org/10.1126/science.adh9607","authors":["Tiffany C. Vance","Thomas Huang","Kevin Butler"],"tags":["Big data","Data science","Earth system science","Earth science","Earth observation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-14","doi":"https://doi.org/10.1126/science.adh9607","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3011267543","name":"Transparent Heaters: A Review","source":"openalex","abstract":"Abstract Transparent heaters (TH) have attracted intense attention from both scientific and industrial sectors due to the key role they play in many technologies, including smart windows, deicers, defoggers, displays, actuators, and sensors. While transparent conductive oxides have dominated the field for the past five decades, a new generation of THs based on nanomaterials has led to new paradigms in terms of applications and prospects in the past years. Here, the most recent developments and strategies to improve the properties, stability, and integration of these new THs are reviewed.","url":"https://doi.org/10.1002/adfm.201910225","authors":["Dorina T. Papanastasiou","Amélie Schultheiss","David Muñoz‐Rojas","Caroline Celle","Alexandre Carella","Jean‐Pierre Simonato","Daniel Bellet"],"tags":["Nanotechnology","Materials science","Key (lock)","Systems engineering","Nanomaterials"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-20","doi":"https://doi.org/10.1002/adfm.201910225","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4388399721","name":"Delving into the Digital Twin Developments and Applications Beyond BIM in the Construction Industry","source":"preprints","abstract":"Construction 4.0 is witnessing exponential growth in Digital Twin (DT) technology developments and applications, revolutionizing the adoption of Building Information Modelling (BIM) and other emerging technologies used throughout the lifecycle of the built environment. BIM provides technologies, procedures, and data schemas representing building components and systems. At the same time, DT enhances this with real-time data for cyber-physical integration, enabling live asset monitoring and better decision-making. Despite being in the early stages of development, DT applications have rapidly progressed in the AEC sector, resulting in a diverse literature landscape due to the various technologies and parameters involved in fully developing the DT technology. The intricate complexities inherent in digital twin advancements have confused professionals and researchers. This confusion arises from the nuanced distinctions between the two technologies, i.e., BIM and DT, causing a convergence that hinders realizing their potential. To address this confusion and lead to a swift development of DT technology, this study presents a holistic review of the existing research focusing on the critical components responsible for developing DT applications in the construction industry. The study identifies five crucial elements: technologies, maturity levels, data layers, enablers, and functionalities. Additionally, it identifies research gaps and proposes future avenues for streamlined DT developments and applications in the AEC sector. Future researchers and practitioners can target data integrity, integration and transmission, bi-directional interoperability, nontechnical factors, and data security to achieve mature digital twin applications for AEC practices. This study highlights the growing significance of DTs in construction and provides a foundation for further advancements in this field to harness its potential to transform built environment practices.","url":"https://doi.org/10.20944/preprints202311.0244.v1","authors":["Muhammad Afzal","Rita Yi Man Li","Muhammad Shoaib","Muhammad Faisal Ayyub","Lavinia Chiara Tagliabue","Muhammad Bilal","Habiba Ghafoor"],"tags":["Interoperability","Building information modeling","Maturity (psychological)","Underpinning","Emerging technologies"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"https://doi.org/10.20944/preprints202311.0244.v1","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"oa:W4400747684","name":"Digital Twins Empower Higher Education","source":"openalex","abstract":"This paper explores the application of digital twin technology in higher education and its enabling effect. Through literature review and case studies, this paper studies the generation, basic concepts, technical frameworks, and application scenarios, e.g., in higher education, of digital twins. The results show that digital twin technology can significantly improve the teaching quality and learning effect and optimize educational resource allocation and management efficiency. This paper also discusses the challenges of digital twin technology and the prospects for future development in higher education. It provides new ideas and practical paths for the digital transformation of higher education.","url":"https://doi.org/10.58421/gehu.v3i3.224","authors":["Jing Lei","Jia-Qing Song","Ji-Yan Wang"],"tags":["Psychology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-16","doi":"https://doi.org/10.58421/gehu.v3i3.224","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4220806396","name":"Digital Twin of a Flexible Manufacturing System for Solutions Preparation","source":"openalex","abstract":"In the last few decades, there has been a growing necessity for systems that handle market changes and personalized customer needs with near mass production efficiency, defined as the new mass customization paradigm. The Industry 5.0 vision further enhances the human-centricity aspect, in the necessity for manufacturing systems to cooperate with workers, taking advantage of their problem-solving capabilities, creativity, and expertise of the manufacturing process. A solution is to develop a flexible manufacturing system capable of handling different customer requests and real-time decisions from operators. This paper tackles these aspects by proposing a digital twin of a robotic system for solution preparation capable of making real-time scheduling decisions and forecasts using a simulation model while allowing human interventions. A discrete event simulation model was used to forecast possible system improvements. The simulation handles real-time scheduling considering the possibility of adding identical parallel machines. Results show that processing multiple jobs simultaneously with more than one machine on critical processes, increasing the robot speed, and using heuristics that emphasize the shortest transportation time can reduce the overall completion time by 82%. The simulation model has an animated visualization window for a deeper understanding of the system.","url":"https://doi.org/10.3390/automation3010008","authors":["Tiago Coito","Paulo E. Faria","Miguel S. E. Martins","Bernardo Firme","Susana M. Vieira","João Figueiredo","João M. C. Sousa"],"tags":["Mass customization","Computer science","Scheduling (production processes)","Heuristics","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-08","doi":"https://doi.org/10.3390/automation3010008","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W2969561908","name":"Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK","source":"openalex","abstract":"Delay is one of the main challenges of construction projects, and there is still much to overcome in order to reach near zero delay in all construction projects. This project aims to conduct a systematic critical review including a bibliography analysis on delay literature in construction. The main questions consider what has been learnt from a decade investigating delay causes and effects in the construction literature and what factors have been missed in the literature. This paper also presents a new and challenging question regarding how digital tools and associated technologies may prevent any delay in construction projects, which can change the research direction from delay investigations to identifying prevention factors. The paper identifies the delay dataset, including 493 papers investigating delay in construction, and establishes a specific dataset of papers focusing on delay effects and causes (DEC), including 94 selected papers covering different factors examined in over 29 countries such as Iran, India, Turkey, Bangladesh, Saudi Arabia, the United Arab Emirates (UAE), Cambodia, Oman, Malaysia, Taiwan, China, Vietnam, the US, the UK, and Egypt. In addition, the paper identifies 30 critical factors with the frequency of occurrences over three times in the DEC dataset and computes their medians of ranking. This paper also discusses digital tools and methods that can be used for delay analysis and preventions, including MS Project, Oracle Primavera P6, and Open Plan by Deltek. The paper discusses the project schedule delay analysis from project management methodology perspectives. It also discusses the current method’s limitations and future directions, which are based on the identification of the deficiency areas. In total, four overlooked factors are identified and suggested, including faulty data analysis, unmatched structure of the research questionnaires with new knowledge and standards [e.g., Project Management Body of Knowledge (PMBOK)], overlooked effects of digital technologies [e.g., Digital twin, Navisworks, Building Information Model (BIM), Geographic Information System (GIS), and Integrated Project Delivery (IPD)], and ignored job-site technologies. In addition, the paper presents the DEC model for future studies, including four main key factors. These factors are resources (e.g., project budgets, labour, material, equipment, and digital tool), project context, stakeholders performance (e.g., owner/client, consultant/designer, contractor, vendor/supplier), and external factors (e.g., ground condition, site location, regulation, natural disaster), which may significantly affect delay prevention and should be concurrently considered in the future delay investigations, since they may be required for designing an effective mitigation strategy when these proof points are identified. This would significantly help to utilise digital systems to prevent time overruns in different construction contexts.","url":"https://doi.org/10.3390/buildings9090191","authors":["Samad M. E. Sepasgozar","Reyhaneh Karimi","Sara Shirowzhan","Mohammad Mojtahedi","Sabbar Ebrahimzadeh","David B. McCarthy"],"tags":["Schedule","Cost overrun","Ranking (information retrieval)","Project management","Change order"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-26","doi":"https://doi.org/10.3390/buildings9090191","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3205948994","name":"Digitalization in pharmaceutical industry: What to focus on under the digital implementation process?","source":"openalex","abstract":"Digitalization of any manufacture industry is a key step in any progress of the production process. The process of digitalization includes both increased use of robotics, automatization solutions and computerization, thereby allowing to reduce costs, to improve efficiency and productivity, and to be flexible to changes. Pharmaceutical Industry (PI) has however been resistant to digitalization, mainly due to fair experience and complexity of the entailed development and manufacture processes. Nevertheless, there is a clear need to digitalize PI as the demand in both traditional and new drugs is constantly growing. Contract Development Manufacture Organizations (CDMOs) have a special digitalizing challenge. Digitalization of PI, and CDMO precisely, should be tightly related to the main aspects of Good Manufacture Practice (GMP), and, to succeed in PI digitalizing requires constant focus on GMP. Close collaboration with constantly changing stakeholders is another important factor which should be in focus during digitalization of CDMO. This paper represents an overview over the main aspects of CDMO digitalization and discusses both the opportunities and challenges of the process, focusing on the practical solutions for successive digital implementation.","url":"https://doi.org/10.1016/j.ijpx.2021.100095","authors":["Glenn Hole","Anastasia S. Hole","Ian McFalone-Shaw"],"tags":["Process (computing)","Focus (optics)","Key (lock)","Productivity","Pharmaceutical industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-08","doi":"https://doi.org/10.1016/j.ijpx.2021.100095","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3213368054","name":"Digital Twin-Enabled Decision Support in Mission Engineering and Route Planning","source":"openalex","abstract":"This article presents a Model-Based Systems Engineering (MBSE) methodology for the development of a Digital Twin (DT) for an Unmanned Aerial System (UAS) with the ability to demonstrate route selection capability with a Mission Engineering (ME) focus. It reviews the concept of ME and integrates ME with a MBSE framework for the development of the DT. The methodology is demonstrated through a case study where the UAS is deployed for a Last Mile Delivery (LMD) mission in a military context where adversaries are present, and a route optimization module recommends an optimal route to the user based on a variety of inputs including potential damage or destruction of the UAS by adversary action. The optimization module is based on Multiple Attribute Utility Theory (MAUT) which analyzes predefined criteria which the user assessed would enable the successful conduct of the UAS mission. The article demonstrates that the methodology can execute a ME analysis for route selection to support a user’s decision-making process. The discussion section highlights the key MBSE artifacts and also highlights the benefits of the methodology which standardizes the decision-making process thereby reducing the negative impact of human factors which may deviate from the predefined criteria.","url":"https://doi.org/10.3390/systems9040082","authors":["Eugene Boon Kien Lee","Douglas L. Van Bossuyt","Jason Bickford"],"tags":["Computer science","Context (archaeology)","Process (computing)","Key (lock)","Adversary"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-14","doi":"https://doi.org/10.3390/systems9040082","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3014340192","name":"Super tough poly(lactic acid) blends: a comprehensive review","source":"openalex","abstract":"are elucidated in detail. The toughening strategies and approaches of PLA based super tough blends are summarized and analyzed. The relationship of the properties of PLA-based blends and their morphological parameters, including particle size, interparticle distance, and phase morphologies, are presented.","url":"https://doi.org/10.1039/d0ra01801e","authors":["Xipo Zhao","Huan Hu","Xin Wang","Xiaolei Yu","Weiyi Zhou","Shaoxian Peng"],"tags":["Petrochemical","Polyester","Thermoplastic","Lactic acid","Commodity chemicals"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1039/d0ra01801e","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4296716399","name":"Regulatory oversight and ethical concerns surrounding software as medical device (SaMD) and digital twin technology in healthcare","source":"openalex","abstract":"","url":"https://doi.org/10.21037/atm-22-4203","authors":["Amos Lal","Johnny Dang","Christoph S. Nabzdyk","Ognjen Gajić","Vitaly Herasevich"],"tags":["Health care","Medical device","Software","Business","Twin cities"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.21037/atm-22-4203","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W3129850062","name":"Self-Supervised Learning of Graph Neural Networks: A Unified Review","source":"openalex","abstract":"Deep models trained in supervised mode have achieved remarkable success on a variety of tasks. When labeled samples are limited, self-supervised learning (SSL) is emerging as a new paradigm for making use of large amounts of unlabeled samples. SSL has achieved promising performance on natural language and image learning tasks. Recently, there is a trend to extend such success to graph data using graph neural networks (GNNs). In this survey, we provide a unified review of different ways of training GNNs using SSL. Specifically, we categorize SSL methods into contrastive and predictive models. In either category, we provide a unified framework for methods as well as how these methods differ in each component under the framework. Our unified treatment of SSL methods for GNNs sheds light on the similarities and differences of various methods, setting the stage for developing new methods and algorithms. We also summarize different SSL settings and the corresponding datasets used in each setting. To facilitate methodological development and empirical comparison, we develop a standardized testbed for SSL in GNNs, including implementations of common baseline methods, datasets, and evaluation metrics.","url":"https://doi.org/10.1109/tpami.2022.3170559","authors":["Yaochen Xie","Xu Zhao","Jingtun Zhang","Zhengyang Wang","Shuiwang Ji"],"tags":["Computer science","Artificial intelligence","Machine learning","Categorization","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-27","doi":"https://doi.org/10.1109/tpami.2022.3170559","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4393134186","name":"Cognitive systems and interoperability in the enterprise: A systematic literature review","source":"openalex","abstract":"The transition from automated processes to mechanisms that manifest intelligence through cognitive abilities such as memorisation, adaptability and decision-making in uncertain contexts, has marked a turning point in the field of industrial systems, particularly in the development of cyber–physical systems and digital twins. This evolution, supported by advances in cognitive science and artificial intelligence, has opened the way to a new era in which systems are able to adapt and evolve autonomously, while offering more intuitive interaction with human users. This article proposes a systematic literature review to gather and analyse current research on Cognitive Cyber–Physical Systems (CCPS), Cognitive Digital Twins (CDT), and cognitive interoperability, which are pivotal in a contemporary Cyber–Physical Enterprise (CPE). From this review, we first seek to understand how cognitive capabilities that are traditionally considered as human traits have been defined and modelled in cyber–physical systems and digital twins in the context of Industry 4.0/5.0, and what cognitive functions they implement. We explore their theoretical foundations, in particular in relation to cognitive psychology and humanities definitions and theories. Then we analyse how interoperability between cognitive systems has been considered, leading to cognitive interoperability, and we highlight the role of knowledge representation and reasoning.","url":"https://doi.org/10.1016/j.arcontrol.2024.100954","authors":["Jana Al Haj Ali","Ben Gaffinet","Hervé Panetto","Yannick Naudet"],"tags":["Interoperability","Cyber-physical system","Cognition","Context (archaeology)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.arcontrol.2024.100954","addedAt":"2026-09-01T01:47:40.903Z","updatedAt":"2026-09-01T01:47:40.903Z"},{"id":"oa:W4389082672","name":"Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts","source":"openalex","abstract":"Digital twins are emerging as a prime analysis, prediction, and control concepts for enabling the Industrie 4.0 vision of cyber-physical production systems (CPPSs). Today’s growing complexity and volatility cannot be handled by monolithic digital twins but require a fundamentally decentralized paradigm of cooperating digital twins. Moreover, societal trends such as worldwide urbanization and growing emphasis on sustainability highlight competing goals that must be reflected not just in cooperating but also competing digital twins, often even interacting in “coopetition”. This paper argues for multi-agent systems (MASs) to address this challenge, using the example of embedding industrial digital twins into an urban planning context. We provide a technical discussion of suitable MAS frameworks and interaction protocols; data architecture options for efficient data supply from heterogeneous sensor streams and sovereignty in data sharing; and strategic analysis for scoping a digital twin systems design among domain experts and decision makers. To illustrate the way still in front of research and practice, the paper reviews some success stories of MASs in Industrie/Logistics 4.0 settings and sketches a comprehensive vision for digital twin-based holistic urban planning.","url":"https://doi.org/10.3390/sci5040044","authors":["Otthein Herzog","Matthias Jarke","Siegfried Zhiqiang WU"],"tags":["Computer science","Context (archaeology)","Domain (mathematical analysis)","Data science","Ambidexterity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-28","doi":"https://doi.org/10.3390/sci5040044","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4404606095","name":"Artificial Intelligence and Robotics: The Twin Pillars of a Digital Future: A Review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-70684-4_29","authors":["Zahara Tussoleha Rony","Abdul Rahmat","Mira Mirnawati","Iwan Adhicandra","Hari Antoni Musril","Robbi Rahim"],"tags":["Artificial intelligence","Robotics","Cognitive science","Psychology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-70684-4_29","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4415657812","name":"Advancements in Digital Twin Applications for Intelligent Construction Quality Management","source":"openalex","abstract":"The construction industry is shifting toward a human-centered approach for quality management, with digital twins (DT) facilitating this transition. However, DT applications in construction quality management are still in their early stages, and systematic reviews on this topic are lacking. This paper provides a comprehensive review of the existing research on DT-based quality management, analyzing the frameworks, methodologies, and applications. The study proposes an overarching framework comprising four layers: data acquisition layer; DT layer; data inference layer; and feedback layer, which collectively address quality issues across the construction lifecycle. Further, the paper categorizes four primary methods for DT-based quality inference: machine vision; numerical simulation; rule-based approaches; and predictive parameter derivations. Key challenges, including real-time feedback integration, cost efficiency, and scalability, are identified, along with potential research directions to address these issues. This review aims to provide a foundation for advancing DT applications in construction quality management and fostering future innovation in the field. By establishing a structured framework and synthesizing key DT-enabled methods across construction phases, this study offers theoretical insights for academic research and practical guidance for industry stakeholders seeking to enhance inspection accuracy, reduce rework, and enable proactive, real-time quality control.","url":"https://doi.org/10.1061/jcemd4.coeng-17126","authors":["Hongzhe Yue","Qian Wang","Minru Zhao","Zhouzhou Yang","Lü Liang"],"tags":["Quality (philosophy)","Key (lock)","Construction management","Computer science","Data quality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-29","doi":"https://doi.org/10.1061/jcemd4.coeng-17126","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W2945809486","name":"Short- and long-term effects of digital prevention and treatment interventions for cannabis use reduction: A systematic review and meta-analysis","source":"openalex","abstract":"BACKGROUND: Frequent Cannabis use has been linked to a variety of negative mental, physical, and social consequences. We assessed the effects of digital prevention and treatment interventions on Cannabis use reduction in comparison with control conditions. METHODS: Systematic review with two separate meta-analyses. Thirty randomized controlled trials met the inclusion criteria for the review, and 21 were included in the meta-analyses. Primary outcome was self-reported Cannabis use at post-treatment and follow-up. Hedges's g was calculated for all comparisons with non-active control. Risk of bias was examined with the Cochrane risk-of-bias tool. RESULTS: The systematic review included 10 prevention interventions targeting 8138 participants (aged 12 to 20) and 20 treatment interventions targeting 5195 Cannabis users (aged 16 to 40). The meta-analyses showed significantly reduced Cannabis use at post-treatment in the prevention interventions (6 studies, N = 2564, g = 0.33; 95% CI 0.13 to 0.54, p = 0.001) and in the treatment interventions (17 comparisons, N = 3813, g = 0.12; 95% CI 0.02 to 0.22, p = 0.02) as compared with controls. The effects of prevention interventions were maintained at follow-ups of up to 12 months (5 comparisons, N = 2445, g = 0.22; 95% CI 0.12 to 0.33, p < 0.001) but were no longer statistically significant for treatment interventions. CONCLUSIONS: Digital prevention and treatment interventions showed small, significant reduction effects on Cannabis use in diverse target populations at post-treatment compared to controls. For prevention interventions, the post-treatment effects were maintained at follow-up up to 12 months later.","url":"https://doi.org/10.1016/j.drugalcdep.2019.03.016","authors":["Nikolaos Boumparis","Lisa Loheide‐Niesmann","Matthijs Blankers","David Daniel Ebert","Dirk J. Korf","Michael P Schaub","Renske Spijkerman","Robert J. Tait","Heleen Riper"],"tags":["Term (time)","Reduction (mathematics)","Meta-analysis","Psychological intervention","Cannabis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-14","doi":"https://doi.org/10.1016/j.drugalcdep.2019.03.016","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W3207192648","name":"Intelligent Safety Assessment of Prestressed Steel Structures Based on Digital Twins","source":"openalex","abstract":"In the development process of intelligent construction, the safety assessment of prestressed steel structures as an important research direction has become more and more attractive in academia. Digital twins (DTs) is the key technology to realize intelligent construction. The virtual and real interaction of the DTs can provide an efficient management and control mechanism for the construction process. This research proposes an intelligent safety assessment method of prestressed steel structures based on DTs. In this research method, the structural safety assessment is divided into two aspects: performance analysis and maintenance. By analyzing the characteristics of the construction safety assessment, a DTs framework for construction safety assessment is built. Driven by the DTs framework, a physical space model and a virtual space model are constructed. On the basis of virtual and actual interaction, multidimensional information fusion of time and space is carried out to realize the analysis of structural safety performance. On this basis, the paper establishes a Bow-tie model for the maintenance modeling of unsafe construction events. Moreover, the theoretical method formed is applied to the construction of a symmetrical structure (wheel–spoke cable truss). The validity of the method is verified by comparing the cable force calculated by the theoretical method and measured on site. The assessment method driven by the DTs ensures the structural safety and improves the intelligence level of safety management and control of the structure construction.","url":"https://doi.org/10.3390/sym13101927","authors":["Zhansheng Liu","Guoliang Shi","Zedong Jiao","Linlin Zhao"],"tags":["Construction site safety","Process (computing)","Truss","Key (lock)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-14","doi":"https://doi.org/10.3390/sym13101927","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4283449998","name":"Digitally enabled approaches for the scale up of mammalian cell bioreactors","source":"openalex","abstract":"With recent advances in digitisation and big data analytics, more pharmaceutical firms are adopting digital tools to achieve modernisation. The biological phenomena within bioreactors are a key target for such digital approaches, as these processes are often complicated and difficult to scale. Historically, rules of thumb have been used to match performance indicators across bioreactor scales. Although such methods are well-established and frequently employed by industry, no universal solution has been developed to overcome the many challenges faced in process development and scale-up. Several computer-based methodologies can potentially be applied to bioreactor scale-up, including knowledge driven and data-driven techniques. This review assesses the state of the art in digital advances in scaling bioreactors and the advantages and limitations of scaling techniques. Traditional approaches and their constraints are outlined. The application of knowledge-based techniques is then considered and compared to data-driven models. The ability to transfer processes across bioreactor scales, to compare data and predict process indicators across scales are then examined. Finally, the role of hybrid modelling and digital twins and their potential in bioprocess development are explored.","url":"https://doi.org/10.1016/j.dche.2022.100040","authors":["Masih Karimi Alavijeh","Irene Baker","Yih Yean Lee","Sally L. Gras"],"tags":["Bioprocess","Biochemical engineering","Computer science","Scale (ratio)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-24","doi":"https://doi.org/10.1016/j.dche.2022.100040","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W3200243871","name":"Machine Learning and Artificial Intelligence for Digital Twin to Accelerate Sustainability in Positive Energy Districts","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-16-2778-1_20","authors":["Jingchun Shen","Puneet Saini","Xingxing Zhang"],"tags":["Computer science","Sustainability","Big data","Information sharing","Twin cities"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-981-16-2778-1_20","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"oa:W4393014068","name":"XR and digital twins, and their role in human factor studies","source":"openalex","abstract":"Digital twins (DT) are synchronized clones that mirror their physical counterparts at all times, enabling real-time monitoring, analysis, decision-making, and planning for optimized operations. Digital twins can transcend traditional two-dimensional interfaces by incorporating VR/AR/MR (XR) technology, providing immersive, intuitive, and interactive representations of systems, assets, and processes. Furthermore, real-time data from sensors, simulations, and other sources can be integrated into the XR-enabled digital twins, leading to better and more intuitive understanding and to more efficiently monitor, analyze, and maintain complex systems such as nuclear assets. Immersive, interactive, multi-player XR capabilities embedded in DTs will allow spatially accurate and more realistic representation, leading to improved risk assessment, optimized and predictive maintenance scheduling, enhanced situational awareness, and more effective communication among interdisciplinary teams. By combining the strengths of XR and digital twins, nuclear facilities can achieve heightened safety, operational efficiency, and decision-making accuracy. Marrying XR technology with digital twins is also likely to extend the utilization of digital twins to optimize those aspects of the design and operation of nuclear assets that involve human beings–specifically in human factors engineering. Training can also be significantly enhanced if DTs are linked with XR technology. These systems may also be used to assess human performance through human factors engineering for the safety analysis of nuclear assets. A specific example is assessing human performance in semi-autonomous nuclear assets or operating multiple nuclear assets. After briefly reviewing digital twins of nuclear systems from the perspective of XR technology, this paper summarises our work in the nuclear energy space on VR/AR/MR and how these can be integrated into the newly evolving DTs of nuclear assets. The paper also describes the potential use of such systems in optimizing the design and operations of nuclear systems. As XR technology advances, its symbiotic relationship with digital twins can significantly reshape the landscape of nuclear operations and asset management.","url":"https://doi.org/10.3389/fenrg.2024.1359688","authors":["Samrendra Roy","Suneet Singh","Rizwan-uddin Rizwan-uddin"],"tags":["Materials science","Chemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-20","doi":"https://doi.org/10.3389/fenrg.2024.1359688","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/etr.2026.10009.pr10","name":"Recommendation: Establishing the rationale for a Digital Twin Framework in the built environment — R1/PR10","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr10","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr10","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4043/32163-ms","name":"CO2 Pipeline Integrity Management: A Digital Twin Approach","source":"crossref","abstract":"Abstract Carbon capture, utilization and storage (CCUS) has been recognized as one of the decarbonization pathways to reduce greenhouse (GHG) emissions and to achieve net zero. CO2 transportation is the key element from carbon capture to utilization such as enhanced oil recovery (EOR) or storage in existing wells. Using new or repurposed natural gas pipelines either offshore or onshore with real-time monitoring can prevent risks during transportation caused by impurities of carbon dioxide (CO2). It is unrealistic to manufacture new CO2 pipelines due to increasing overall project cost and carbon footprint. Retrofitting existing onshore or offshore natural gas pipelines with multiple sensors for flow measurement, pressure and temperature measurement and fatigue stress measurement can not only cost-effectively reduce carbon footprint but also minimize maintenance costs through real-time risk-based inspection. The proposed solution will conclude with a holistic assessment of structural integrity in transporting CO2 and the integration of a data-driven model of repurposed natural gas pipelines to improve pipelines integrity further. Different impurities in the CO2 can change the flow properties during CO2 transportation. Although CO2 transportation has been deployed for several decades, the impacts of impurities in CO2 has to be better understood. Building a model with different impurities of CO2 in a digital twin has a potential influence to tackle this issue. A computational model of pipeline fatigue damage, which is affected by temperature and pressure mainly, in the pipelines is developed to predict the fatigue damage under specific circumstances. Integration of multiple sensors in the pipeline can avoid early failure and maintain it proactively. CO2 could be in liquid and gas phases in the unsaturated zone during transportation. The proposed concept of digital twin will offer a prediction at the early stage to mitigate potential risks specific to existing natural gas pipelines for CO2 transportation from carbon capture to utilization or storage.","url":"https://doi.org/10.4043/32163-ms","authors":["Ta Ju Sun","Subrata Bhowmik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-24T00:12:44Z","doi":"10.4043/32163-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.70675/0529d300z0057z4062z832cz9fb81f1174eb","name":"Towards cognitive interoperability : cognitive digital twin and cognitive architecture for Human-CPS collaboration","source":"crossref","abstract":"Vers l’interopérabilité cognitive : jumeau numérique cognitif et architecture cognitive pour la collaboration Humain-CPS L'Industrie 5.0 promeut des systèmes de production centrés sur l'humain, dans lesquels les humains et les systèmes cyber-physiques (Cyber-Physical Systems - CPS) collaborent en tant que partenaires plutôt que d'évoluer dans des rôles isolés. Dans de tels contextes, l'interopérabilité sémantique seule est insuffisante, car une collaboration efficace requiert non seulement une interprétation commune des données, mais aussi l'alignement de la conscience de la situation, des modèles mentaux, des intentions et des processus de prise de décision. Dans ce contexte, cette thèse étudie la transition vers l'interopérabilité cognitive au sein des Entreprises Cyber-Physiques (Cyber-Physical Enterprises - CPE) en proposant un cadre basé sur un Jumeau Numérique Cognitif (Cognitive Digital Twin - CDT) et une Architecture Cognitive afin de soutenir la collaboration humain-CPS. La thèse établit d'abord une conceptualisation formelle des systèmes cognitifs et introduit une définition de l'interopérabilité cognitive allant au-delà de l'alignement sémantique. En s'appuyant sur la psychologie cognitive et les théories de la cognition en équipe, un Modèle de Maturité de l'Interopérabilité Cognitive (Maturity Model of Cognitive Interoperability - MMCI) est proposé afin de caractériser des niveaux progressifs d'alignement cognitif, allant du partage de la conscience de la situation jusqu'à la prise de décision conjointe avec régulation métacognitive. Le travail définit ensuite la notion de Jumeau Numérique Cognitif (Cognitive Digital Twin - CDT) comme un jumeau numérique enrichi de capacités cognitives, et analyse les exigences architecturales nécessaires pour opérationnaliser la cognition dans de tels systèmes. Afin de soutenir un raisonnement structuré et l'explicabilité, une base sémantique fondée sur une ontologie est conçue pour représenter les tâches, les agents, les capacités, les compétences et les contraintes contextuelles au sein d'un modèle unifié de connaissances. Par ailleurs, l'architecture cognitive CLARION est intégrée comme noyau décisionnel du CDT, permettant un fonctionnement hybride neuro-symbolique en combinant le raisonnement symbolique avec des mécanismes d'apprentissage. Le cadre proposé est validé à travers un cas d'usage industriel d'assemblage collaboratif humain-robot impliquant un cobot UR5e. Les résultats expérimentaux montrent que l'intégration de la cognition dans le CDT améliore l'adaptabilité, la qualité de la prise de décision et la robustesse dans des scénarios de collaboration dynamique, comparativement à une approche reposant uniquement sur l'interopérabilité sémantique. Globalement, cette thèse apporte des fondements conceptuels, des outils de modélisation et une architecture implémentable permettant de soutenir la transition de l'interopérabilité sémantique vers l'interopérabilité cognitive dans les futurs systèmes de production centrés sur l'humain.","url":"https://doi.org/10.70675/0529d300z0057z4062z832cz9fb81f1174eb","authors":["Jana Al Haj Ali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-28T16:53:08Z","doi":"10.70675/0529d300z0057z4062z832cz9fb81f1174eb","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5220/0013476600003941","name":"Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013476600003941","authors":["Raivo Sell","Mohsen Malayjerdi","Ehsan Malayjerdi","Mauro Bellone","Heiko Pikner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-06T21:58:21Z","doi":"10.5220/0013476600003941","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-981-95-8236-5_5","name":"Digital Twins in Product Lifecycle Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8236-5_5","authors":["Shimin Liu","Pai Zheng","Jinsong Bao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-12T22:48:21Z","doi":"10.1007/978-981-95-8236-5_5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003403791-10","name":"Dynamic Threshold-based DDoS Detection and Prevention for Network Function Virtualization (NFV) in Digital Twin Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003403791-10","authors":["Sriramulu Bojjagani","N. Surya Nagi Reddy","Siva Sathvik Medasani","Mohammad Umar","Ch. Avinash Reddy","Neeraj Kumar Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T06:25:28Z","doi":"10.1201/9781003403791-10","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5194/egusphere-egu25-1299","name":"Building a framework for the design and deployment of digital twins: the Digital Twin Factory project","source":"crossref","abstract":"The digital twin is a useful tool for scientists and decision makers to understand the present (what now), explore future trajectories (what next) to to investigate the future impacts of current risk mitigation actions (what if), or of a system. Working at the local scale allows detailed physics to be implemented in an approach that better captures the complexity of the study site (city, watershed, etc.) in an approach that complements the global scale. The availability of very high-precision spatial products (optical, 3D, thermal, etc.) enables this high-precision local analysis anywhere on the Earth.This growing interest is leading a number of actors to build digital twins at the local scale. However, building this type of representation requires a dedicated effort from the user, usually a scientist, which prevents him from focusing on the scientific added value he could bring with his thematic expertise.The Digital Twin Factory (DTF, 2024-2026) project, coordinated by the French National Centre of Space Studies (CNES), aims to provide users with a framework capable of building, deploying and operating a digital twin at the scale of the site. It is designed as a Digital Twin as a Service API (PaaS) to abstract the underlying infrastructure, with possibility of accessing both the HPC resources and usual Cloud providers. The DTF also provides users with methodological building blocks to access (catalogue harvester), manipulate (ingester, data processing pipeline), visualize and analyze (plot, dashboarding) the data. In this way, the instantiators of the digital twin can focus on their thematic expertise and deploy their physical solvers with access to multi-source data.While high performance computing resources can be made available to run these physical models, parametric studies or climate trajectories may require high cost and long simulation times. Partial or full data based surrogate model is an approach that can overcome this barrier and provide results in a reactive manner. Part of the DTF's work is therefore aimed at providing users with methodological building blocks for surrogate modelling, based on the expertise of the scientific community.This contribution presents the multi-layered architecture of the DTF project, its different components and the services offered to users. We illustrate this work with the construction of the digital Twin of Nokoué Lake in Benin that integrates flood forecasting, pollution control, salinity management, long-term risk evolution, risk governance, and adaptation measures. Satellite data are used as input for a hydrodynamic code, on which first developments of surrogate models are presented.","url":"https://doi.org/10.5194/egusphere-egu25-1299","authors":["Thibault Xavier","Dawa Derksen","Vincent Martin","Pierre-Marie Brunet"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T16:48:36Z","doi":"10.5194/egusphere-egu25-1299","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-323-99205-3.00004-3","name":"Digital twins in precision agriculture monitoring using artificial intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-99205-3.00004-3","authors":["D. Shamia","S. Suganyadevi","V. Satheeswaran","K. Balasamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-01T05:29:55Z","doi":"10.1016/b978-0-323-99205-3.00004-3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.12688/digitaltwin.17632.1","name":"Artificial intelligence and digital twins in power systems: Trends, synergies and opportunities","source":"crossref","abstract":"Artificial Intelligence (AI) promises solutions to the challenges raised by the digitalization of power grids and their assets. Decision-making, forecasting and even operational optimization of grids and assets are just some of the solutions that AI algorithms can provide to operators, utilities and vendors. Nevertheless, barriers such as access to quality datasets, interpretability, repeatability, and availability of computational resources currently limit the extent of practical AI implementations. At the same time, Digital Twins (DTs) are foreseen as platforms that can overcome these barriers, and also provide a new environment for the development of enhanced and more intelligent applications. In this manuscript, we review the published literature to determine the existing capabilities and implementation challenges of AI algorithms in power systems, and classify AI-based applications based on their time scale to reveal their temporal sensitivity. By combining AI and DT, we outline multiple prospective use cases for AI-enhanced power grid and power asset DTs. Our review also identifies that the combination of AI-based solutions and DTs leverages new applications with the potential to fundamentally change multiple aspects of the power industry.","url":"https://doi.org/10.12688/digitaltwin.17632.1","authors":["Zhiwei Shen","Felipe Arraño-Vargas","Georgios Konstantinou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-25T03:55:07Z","doi":"10.12688/digitaltwin.17632.1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/9781394390205.ch15","name":"Machine Learning and Artificial Intelligence in Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.ch15","authors":["Sampath Emani","Gurunadh Velidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.ch15","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.26226/m.64c26777632e9539aa87d482","name":"Reliability-based lifecycle optimization  of offshore wind turbines using a digital twin framework","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.64c26777632e9539aa87d482","authors":["Xukai Zhang","Arash Noshadravan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-08T18:25:30Z","doi":"10.26226/m.64c26777632e9539aa87d482","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003469612-15","name":"FloodWatch","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-15","authors":["R. Indrakumari","Srinivasan Sriramulu","N. Partheeban","Rajkumar Rajavel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-15","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1021/acsengineeringau.4c00052.s001","name":"Digital Twin of an Open Cooling Tower: Experimental Studies and Numerical Validation","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsengineeringau.4c00052.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-18T11:30:29Z","doi":"10.1021/acsengineeringau.4c00052.s001","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.36227/techrxiv.176281115.50920760/v1","name":"AI-Driven Energy Optimization for Smart Cities: Federated Reinforcement Learning and Digital Twin Framework","source":"crossref","abstract":"This study presents a novel artificial intelligence (AI)-based framework for optimizing energy management in smart cities, integrating attention-based long short-term memory (LSTM) networks, reinforcement learning (RL), and privacypreserving federated learning (FL) within a digital-twin simulation environment. The proposed framework employs an LSTM module with attention mechanisms to forecast short-term energy demand with high temporal accuracy. An RL-based controller dynamically optimizes energy resource allocation to minimize operational costs and carbon emissions under variable conditions. To ensure data privacy, a federated-learning approach enables collaborative model training across distributed nodes without compromising sensitive information. Evaluated within a city-scale digital-twin platform, the framework achieves a 22% improvement in prediction accuracy and an 18% reduction in energy consumption compared to conventional baseline models. These results demonstrate the efficacy of combining AI-driven forecasting, adaptive control, and privacy-aware learning for realtime energy management. The proposed approach supports scalable, data-driven solutions for sustainable urban infrastructure, aligning with global and U.S. initiatives for carbonneutrality and intelligent energy systems. This research provides a robust foundation for deploying AI-enhanced energy optimization strategies in smart-city applications.","url":"https://doi.org/10.36227/techrxiv.176281115.50920760/v1","authors":["Arvindh Balajie Sundararajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-10T21:45:59Z","doi":"10.36227/techrxiv.176281115.50920760/v1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.7038120","name":"Digital Twin for a Packed-Bed Thermal EnergyStorage System","source":"crossref","abstract":"Packed-Bed Thermal Energy Storage (PBTES) systems are increasingly considered for sustainable industrial heating applications, where real-time predictive management can be supported by digital twins. However, the complex dynamics of transient advective-diffusive heat transport, combined with inherent operational uncertainties such as fluid channelling and unmodeled wall capacitance, render purely first-principles-based models poorly suited for real-time tracking. A real-time digital twin framework is proposed and experimentally validated on a horizontal copper-slag test bench to monitor exit conditions and track the state of thermal power (STP) using a non-intrusive boundary-only sensor configuration. The methodology integrates a reduced-order 1D advection-diffusion PDE, identified offline, with an Extended Kalman Filter (EKF) and a regularized online sequential parameter-refitting algorithm, with three velocity treatments were compared: a constant nominal velocity (linear KF), a state-dependent velocity (EKF coupled), and a decoupled velocity (EKF decoupled). The EKF fixed decoupled variant reduces exit temperature tracking RMSE by 79–92% and STP tracking RMSE by 78–92% relative to the Blind Simulation baseline across two independent validation datasets; the EKF coupled variant achieves comparable exit tracking improvements but degrades internal field reconstruction (field RMSE of 37.9–35.4 ◦C vs. 25.8–24.9 ◦C for the decoupled variant). Under boundary-only sensing, EKF-initialized rolling-horizon forecasts fail to outperform the Blind Simulation baseline, a consequence of weak interior observability from a single outlet sensor, which distorts the estimated thermocline and degrades the open-loop forecast initial condition. The sensor configuration sweep demonstrates that while the boundary-only setup is accurate for exit diagnostics and STP tracking, incorporating a sparse set of internal sensors is required to reconstruct the interior temperature field or generate predictive forecasts, providing a clear design guide for PBTES digital twin deployment.","url":"https://doi.org/10.2139/ssrn.7038120","authors":["Ian Wolde","José  M. Cardemil","Benjamin Herrmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T23:40:58Z","doi":"10.2139/ssrn.7038120","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.20944/preprints202306.0841.v1","name":"Exploring Digital Twin-based Fault Monitoring: Challenges and Opportunities","source":"preprints","abstract":"High efficiency and safety are critical factors in ensuring optimal performance and reliability of systems and equipment across various industries. Fault Monitoring (FM) techniques play a pivotal role in this regard by continuously monitoring system performance and identifying the presence of faults or abnormalities. However, traditional FM methods face limitations in fully capturing the complex interactions within a system and providing real-time monitoring capabilities. To overcome these challenges, Digital Twin (DT) technology has emerged as a promising solution to enhance existing FM practices. By creating a virtual replica or digital copy of a physical equipment or system, DT offers the potential to revolutionize fault monitoring approaches. This paper aims to explore and discuss the diverse range of predictive methods utilized in DT and their implementations in FM across industries. Furthermore, it will showcase successful implementations of DT in FM across a wide array of industries, including manufacturing, energy, transportation, and healthcare The utilization of DT in FM enables a comprehensive understanding of system behavior and performance by leveraging real-time data, advanced analytics, and machine learning algorithms. By integrating physical and virtual components, DT facilitates the monitoring and prediction of faults, providing valuable insights into the system’s health and enabling proactive maintenance and decision-making.","url":"https://doi.org/10.20944/preprints202306.0841.v1","authors":["Jherson Bofill","Mideth Abisado","Gabriel Avelino Sampedro"],"tags":["Implementation","Computer science","Reliability (semiconductor)","Fault detection and isolation","Predictive maintenance"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202306.0841.v1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.4043/37093-ms","name":"Scalable Digital Twin Workflows with Subsea Robotics for Offshore Integrity Management","source":"crossref","abstract":"Abstract Offshore asset operators are increasingly adopting digitalization strategies to improve inspection efficiency, reduce operational risk, and support long-term integrity management. This paper presents a scalable workflow that integrates compact subsea robotic platforms with photogrammetry, automation, and digital twin methodologies to support routine inspection and condition assessment of offshore infrastructure. The proposed approach enables high-resolution three-dimensional (3D) modeling of subsea assets using portable robotic systems that require minimal vessel support. Field deployments demonstrate that photogrammetry-based digital twins can achieve sub-centimeter measurement accuracy while reducing inspection duration and personnel exposure compared to traditional diver-based methods. Results indicate that repeatable digital twin generation supports trend analysis, anomaly detection, and data-driven maintenance planning across multiple asset classes.","url":"https://doi.org/10.4043/37093-ms","authors":["S. Browns"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T00:15:02Z","doi":"10.4043/37093-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5209433","name":"Digital Twin for Lithium-Ion Batteries Using Singular Value Decomposition","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5209433","authors":["Majid Najafpour","Paavo Rasilo","Tomi Roinila"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T10:38:59Z","doi":"10.2139/ssrn.5209433","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.21608/jfsu.2025.442598.1329","name":"أثر استخدام تقنية التَّوأم الرَّقمي digital-twin في عقود الاسْتِصْنَاع «دِرَاسَةٌ فِقْهِيَّةٌ مُقَارَنَةٌ » The Impact of Using Digital Twin Technology in Manufacturing Contracts: A Comparative Jurisprudential Study","source":"crossref","abstract":"","url":"https://doi.org/10.21608/jfsu.2025.442598.1329","authors":["عمر مصطفى أحمد"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-06T08:54:47Z","doi":"10.21608/jfsu.2025.442598.1329","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.4436375","name":"Research on Product Semantic Features Based on Digital Twin and Perceptual Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4436375","authors":["ChangYuan Geng","JingJing Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-02T16:17:42Z","doi":"10.2139/ssrn.4436375","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.4516181","name":"Graphics-Based Modular Digital Twin Software Framework for Production Lines","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4516181","authors":["Xinyi Yu","Linlin Ou","Xiaoyao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-20T15:36:49Z","doi":"10.2139/ssrn.4516181","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.18260/1-2-1115-48780","name":"Toward the Digital Twin Education: Arduino Microcontroller Training for STEM Educators","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2-1115-48780","authors":["Maurizio Manzo","Huseyin Bostanci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-09T12:42:31Z","doi":"10.18260/1-2-1115-48780","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.22215/etd/2024-16043","name":"Development of a Real-Time Physics-Based Digital Twin of a Marine Towed Cable-Body System","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2024-16043","authors":["Cassidy Westin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-16T20:12:17Z","doi":"10.22215/etd/2024-16043","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00033-8","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00033-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:49:23Z","doi":"10.1016/b978-0-443-34174-8.00033-8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2514/6.2026-1351","name":"Digital Twin of Defense Industrial Base Workforce","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1351","authors":["Kevin Hasse"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1351","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1108/978-1-83708-112-720261010","name":"Workforce Planning and Optimization with Digital Twin: Insights from Social Media Campaigns for Sustainable Development Goals","source":"crossref","abstract":"This chapter explores the transforming power of modern digital twin human resource (HR) 5.0 technologies in transforming manpower optimization in light of sustainable development goals (SDGs). Highlighting their great synergy in promoting sustainability, it focuses on the interaction of digital twin analytics with social media marketing tactics. This research paper shows how digital twin HR 5.0 technologies combined with social media campaigns, resource allocation, customer satisfaction, creating awareness, and engagement prediction could improve manpower productivity and support more sustainability. By means of a quantitative survey, this chapter explores public interaction with SDG-related advertising, enabling the modern use of digital twin frameworks to improve recruitment engagement, increase resource allocation, and so increase general performance. Through an analysis of these crossroads, this chapter suggests all-encompassing plans for using digital twin HR 5.0 technologies to produce more sustainable manpower operations. The results offer insightful analysis of how businesses may better match their manpower strategies with sustainable goals, so as to not only better operational effectiveness but also help to realize more general environmental and social goals. For businesses to lead in both production and corporate social responsibility (CSR), this combination of modern technologies provides an interesting chance, therefore supporting long-term manpower optimization and helping to promote world sustainability initiatives. At the end of this chapter, it shows how the modern and creative tools of digital twin technologies may drive both sustainable and economic growth, hence allowing future manpower efficiency and helping to support worldwide sustainable initiatives.","url":"https://doi.org/10.1108/978-1-83708-112-720261010","authors":["Jahangeer Ahmad Ganie","Damanpreet Singh","Yogesh Kumar","Christo Ananth","Mohammad Shahparan","Rakhmanov Buribay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-05T11:49:18Z","doi":"10.1108/978-1-83708-112-720261010","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-76564-3_8","name":"Future Directions of Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76564-3_8","authors":["Sunil Gupta","Ravi S. Iyer","Sanjeev Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T13:02:57Z","doi":"10.1007/978-3-031-76564-3_8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003492146-5","name":"Development of Data-Driven Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-5","authors":["Jacek Mocki","George Stojkovski","Jake Pisano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00010-x","name":"Digital twins for hydropower applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00010-x","authors":["Amir Nedaei","Mohammadreza Aghaei","Aref Eskandari","Frédéric Maurer","Umit Cali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:28:29Z","doi":"10.1016/b978-0-443-14070-9.00010-x","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch013","name":"No Barrier","source":"crossref","abstract":"In a digital realm, language diversity remains a significant hurdle to effective global communication, impacting approximately 60% of internet users worldwide. The aim is to promote inclusive conversation and overcome the language barrier in the online world where people from various backgrounds work together. The chapter revolves an NMT model, a transformer-based architecture for translation which facilitates real time translations and contextually aware along with a fine-tuned front end chat room specifically crafted for the users by providing multiple well-known languages with smooth translation so that communication remains fluid and accurate which can significantly improve the online community. Introduced digital twin technologies into this which is a concept that digitally mirrors real world and process this digital twin analysis focuses on user side preferences, inputs, and contextual meanings. The outcome of the study holds the promise of forever changing the structure of digital communication between multiple languages which will turn in an evolving online world.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch013","authors":["Jai Guttikonda","A. Sanchit","A. Krishnamoorthy","Krish Chaudhary","B. Likitha","N. Prabakaran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch013","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-14150-8.00002-x","name":"Digital space in the forefront of twin transition","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14150-8.00002-x","authors":["Anastasia Panori"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-29T06:20:20Z","doi":"10.1016/b978-0-443-14150-8.00002-x","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1515/9783110778861-012","name":"Chapter 12 Case Studies: Smart Cities Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-012","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-012","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1049/pbpc071e_fm","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_fm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_fm","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/9781394257003.ch15","name":"Advanced Real‐Time Simulation Framework for the Physical Interaction Dynamics of Production Lines Leveraging Digital Twin Paradigms","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.ch15","authors":["Neha Bhati","Narayan Vyas","Vishal Dutt","Ronak Duggar","Aradhya Pokhriyal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.ch15","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4018/978-1-6684-6821-0.ch020","name":"Sustainable Development Using Digital Twin Technology With Image Processing","source":"crossref","abstract":"Numerous industries have embraced cutting-edge computer technology as digitalization has progressed, including big data, artificial intelligence (AI), cloud computing, digital twins, and edge computing. In order to analyze the state of the application of digital twins in conjunction with AI, this chapter looks at the research findings of recently published literature. It then evaluates the applications and futures of AI in digital twins. High-fidelity computer simulations are used in modern engineering practice for the design and research of complex engineering systems. In the field of mechanical and aeronautical engineering, computational simulations have long been used to support conceptual design, prototyping, manufacturing, production, test-data correlation, and safety evaluation. In the last 10 years, there has been a change in how computational simulations are used to give assistance across the whole product life cycle.","url":"https://doi.org/10.4018/978-1-6684-6821-0.ch020","authors":["Kunal Dhibar","Prasenjit Maji","Shiv Prasad","Moumita Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-17T12:13:35Z","doi":"10.4018/978-1-6684-6821-0.ch020","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5753/sedt.2025.14763","name":"A Rapid Review on Software Reuse in Digital Twin Development Lifecycle","source":"crossref","abstract":"Digital Twin has become a trend in literature in the past decade. Despite its popularity, researchers reported the lack of standardized development approaches and general guidelines to foster its adoption. In this study, we conducted a rapid review to investigate whether, and under what conditions, Software Reuse techniques can address these challenges. Through a content analysis of twenty-two primary studies, results suggest that Software Reuse techniques contribute to reducing development time and enhancing composability in the Digital Twin construction process. Component-Based Software Engineering emerged as the predominant reuse approach among the analyzed studies. However, the review also identified a notable lack of empirical evaluation regarding the proposed reusable assets, limiting the evidence base for the reported benefits of Software Reuse in Digital Twin development.","url":"https://doi.org/10.5753/sedt.2025.14763","authors":["Lorena Mamede Botelho","Claudia Werner","Claudio Miceli de Farias"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T17:52:28Z","doi":"10.5753/sedt.2025.14763","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.12688/digitaltwin.17454.1","name":"A discrete event simulation-based methodology for building a digital twin of patient pathways in the hospital for near real-time monitoring and predictive simulation","source":"crossref","abstract":"Background: Discrete Event Simulation (DES) is one of the many tools and methods used in the analysis and improvement of healthcare services. Indeed, DES provides perhaps the most powerful and intuitive method for analyzing, evaluating, and improving complex healthcare systems. This paper highlights the process of developing a Digital Twin (DT) framework based on online DES to run the DES model in parallel with the real world in real-time. Methods: This paper suggests a new methodology that uses DES connected to the Internet of Things (IoT) devices to build a DT platform of patient pathways in a hospital for near real-time monitoring and predictive simulation. An experimental platform that mimics the behavior of a hospital has been used to validate this methodology. Results: The application of the proposed methodology allowed us to test the monitoring functionality in the DT. Therefore, we noticed that the DT behaves exactly as the emulator does in near real-time, we also tested the prediction functionality and we noticed that the DT provides us with a proactive overview for the near future of the patient pathways. The predictive functionality of this DT must be improved depending on the various reasons mentioned in this article. Conclusions: This paper presents a new methodology called HospiT'Win that uses DES and IoT devices to develop a DT of patient pathways in hospitals. This DT consists of two real-time models, a DT for Monitoring (DTM) and a DT for Predicting (DTP). An experimental platform with an emulator of a real hospital was used to validate this methodology before connecting to the real hospital. In the DTP, \"dynamic\" empirical distributions were used to perform a predictive simulation for the near future. In future research, some additional features and machine learning algorithms will be used to improve the proposed DT models.","url":"https://doi.org/10.12688/digitaltwin.17454.1","authors":["Abdallah Karakra","Franck Fontanili","Elyes Lamine","Jacques Lamothe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-07T11:50:07Z","doi":"10.12688/digitaltwin.17454.1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/s13534-026-00605-9","name":"Digital twin for neurological conditions: a systematic scoping review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s13534-026-00605-9","authors":["Bo-Young Youn","Soohyuk Park","Dahyun Song","Ki Chang Nam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-01T08:47:12Z","doi":"10.1007/s13534-026-00605-9","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.37547/tajet/v8i3-322","name":"Physics-Informed Digital Twin for Enhanced In Vitro-to-In Vivo Extrapolation in Liver Microphysiological Systems","source":"crossref","abstract":"Current microphysiological systems lack predic- tive fidelity for human pharmacokinetics due to oversimplified mathematical representations that conflate biological processes. We introduce a physics-informed digital twin framework that deconvolves active metabolic clearance from passive drug trans- port phenomena in liver-on-chip platforms. Our computational architecture employs a three-compartment ordinary differential equation model mapping media, interstitial, and intracellular domains, integrating hardware-specific microfluidic constraints with compound physicochemical properties. The framework was validated across 32 compounds spanning multiple hepatic microphysiological systems, demonstrating superior predictive accuracy with a mean clearance ratio of 1.04 ± 0.31 versus 0.56 ± 0.44 for conventional single-compartment models. By disentangling permeability, partitioning, and metabolic pathways, the digital twin enables mechanistic interpretation of observed kinetics while maintaining compatibility with standard experi- mental protocols. The open-source R implementation facilitates seamless integration with physiologically-based pharmacokinetic modeling for clinical translation. This paper establishes a compu- tational foundation for precision drug development using organ- on-chip technologies.","url":"https://doi.org/10.37547/tajet/v8i3-322","authors":["Samarth Patel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-20T11:18:09Z","doi":"10.37547/tajet/v8i3-322","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00309","name":"Enabling Network Digital Twin to improve QoS Performance in Communication Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00309","authors":["M Saravanan","P Satheesh Kumar","Adhesh Reghu Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T17:27:38Z","doi":"10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00309","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3403/30503372u","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30503372u","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T20:30:32Z","doi":"10.3403/30503372u","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.36652/0869-4931-2026-80-1-29-34","name":"Digital twin modeling features for smart manufacturing","source":"crossref","abstract":"The specifics of creating a digital twin model in a smart manufacturing environment are considered. А general concept for a digital twin for a smart factory is developed. А digital twin modeling algorithm, comprising three interrelated stages is proposed. Digital twin layers and the potential for using artificial intelligence technologies are highlighted.","url":"https://doi.org/10.36652/0869-4931-2026-80-1-29-34","authors":["Nafikov A.M.","Stuchilin V.V."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T11:36:20Z","doi":"10.36652/0869-4931-2026-80-1-29-34","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-76564-3_3","name":"Digital Twin Implementation: Architecture and Development","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76564-3_3","authors":["Sunil Gupta","Ravi S. Iyer","Sanjeev Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T13:31:48Z","doi":"10.1007/978-3-031-76564-3_3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00032-6","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00032-6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:49:26Z","doi":"10.1016/b978-0-443-34174-8.00032-6","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.18260/1-2-670-57886","name":"Digital Twin Integration Process for Small Manufacturers","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2-670-57886","authors":["Terrance Speicher","Joanna DeFranco","Charles Stricker","Dale Litwhiler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-16T20:11:57Z","doi":"10.18260/1-2-670-57886","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/etr.2026.10009.pr14","name":"Decision: Establishing the rationale for a Digital Twin Framework in the built environment — R2/PR14","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr14","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr14","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.33313/382/104","name":"Real-Time Ordinary Differential Equation Solver in Digital Twin Environments","source":"crossref","abstract":"ABSTRACT This paper proposes a software model architecture to implement an ordinary differential equation solver in real-time for use in digital twin environments. This proposal is based on the runge-kutta method for solving state-space models in real time, which can also be implemented using other methods, where the inputs and outputs are connected to the digital twin model with the objective to represent better details of the physics process that occurs in the physical object being simulated, and in this way test and validate the automation systems.","url":"https://doi.org/10.33313/382/104","authors":["Hernan Castaneda","Javier Barreiro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-20T18:53:06Z","doi":"10.33313/382/104","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.55677/ijlsar/v05i03y2026-07","name":"Causal Inference and Digital-Twin MRV Architectures for Biodiversity Conservation in Andean Coffee Landscapes","source":"crossref","abstract":"Conservation incentive programs — including payments for ecosystem services (PES), biodiversity certifications, and REDD+ mechanisms — have expanded substantially since the mid-1990s, yet their aggregate contribution to halting biodiversity loss remains contested. A persistent gap between programmatic ambition and measurable outcomes reflects, at least in part, deficiencies in measurement design: inadequate baselines, absence of counterfactual controls, and limited adaptive feedback mechanisms. This review article synthesizes conceptual and methodological frameworks for evaluating the effectiveness, equity, and efficiency of conservation incentive programs, and examines the digital monitoring infrastructure now available for real-time adaptive management. Drawing on a System Dynamics simulation model and an Integral Certification and Monetization Proposal developed for the Department of Quindío, Colombia — a megadiverse Andean coffee landscape — the article demonstrates how quasi-experimental counterfactual methods, composite biodiversity indices aligned with Essential Biodiversity Variables (EBVs), and multi-criteria evaluation frameworks translate into operational monitoring and decision-support tools. The article further surveys globally successful digital platforms — including Global Forest Watch, Google Earth Engine, passive acoustic monitoring with AI-driven species identification, environmental DNA metabarcoding, and digital twin biodiversity forecasting — and articulates an integrated, layered technological architecture applicable to sub-national conservation programs in biodiversity-rich developing regions. The proposed framework positions rigorous monitoring as the central determinant of conservation program credibility in voluntary carbon markets and as a prerequisite for adaptive governance under the Kunming-Montreal Global Biodiversity Framework targets.","url":"https://doi.org/10.55677/ijlsar/v05i03y2026-07","authors":["Javier Burgos-Salcedo","Carolina Sierra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T15:47:42Z","doi":"10.55677/ijlsar/v05i03y2026-07","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/iciss59129.2023.10291489","name":"Digital Twin Model for Smart Maintenance of Data Center Facilities : Study Literature Review","source":"openalex","abstract":"Digital twin is a technology that supports the implementation of digital transformation. The digital twin was developed to support decision making in various sectors. The digital twin concept is almost 20 years old and continues to evolve for use cases for the technology in new industries. Maintenance is one of the important points of the product life cycle as the origin of the digital twin. The data center facility is one of the supporters of digital transformation which must be able to guarantee the availability of its services. The availability of data center services is affected by the chosen maintenance strategy. This paper will discuss data centers and maintenance strategies as well as definitions, characteristics to examples of implementing digital twins, especially in the case of implementing intelligent maintenance. It is hoped that with the description of this paper, more specific research opportunities related to optimizing the application of digital twins for maintenance specifically used in data center facilities are expected.","url":"https://doi.org/10.1109/iciss59129.2023.10291489","authors":["Dani Ramdani","Suhono Harso Supangkat","Fadhil Hidayat","Michael Andreas Purwoadi"],"tags":["Data center","Center (category theory)","Computer science","Data modeling","Database"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-06","doi":"10.1109/iciss59129.2023.10291489","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.23919/icems66262.2025.11317419","name":"Digital Twin-Enhanced Forecasting for Rooftop Photovoltaic Systems in Urban Environments: A Scoping Review and Conceptual Framework","source":"crossref","abstract":"","url":"https://doi.org/10.23919/icems66262.2025.11317419","authors":["Zheng Grace Ma","Bo Nørregaard Jørgensen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-12T18:20:00Z","doi":"10.23919/icems66262.2025.11317419","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.compind.2021.103469","name":"Digital twin paradigm: A systematic literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.compind.2021.103469","authors":["Concetta Semeraro","Mario Lezoche","Hervé Panetto","Michele Dassisti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-10T23:50:16Z","doi":"10.1016/j.compind.2021.103469","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.35483/acsa.am.110.73","name":"Design Pedagogy: Adaptive Reuse and the Digital Twin","source":"crossref","abstract":"With the increasing demands on integrated design, sustainability, and analysis, how can the core design studios be structured to address concerns related to context and materiality by employing a digital twin? What are some of the advantages of using LiDAR (Light Detection and Ranging) and photogrammetry to capture resources, and how might they facilitate our approach to design education? What are the benefits of using this technology to educate students to reuse buildings and critically and productively repurpose building materials? How considerable are the cost and time required to develop a digital twin, and what are the best practices to seamlessly interface its assets with other platforms? A LiDAR scan of St. Mary’s church (1843) in Troy, New York, was commissioned, along with a digital twin for the second-year undergraduate design studio. The twin was shared with an allied daylighting course to examine and modify the existing daylighting conditions inside the church. The scan captured the material and ornamentation of the walls and floors, notably the stone, masonry, and wood elements, as found in the field, and helped illustrate the tectonics associated with the composite nature of the church’s construction. The studio pedagogy promoted design proposals that critically engage context, adaptive reuse, daylighting, and heightened awareness of material finishes, selective demolition, and tectonics.","url":"https://doi.org/10.35483/acsa.am.110.73","authors":["Rhett Russo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-17T08:46:40Z","doi":"10.35483/acsa.am.110.73","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/etr.2026.10009.pr11","name":"Decision: Establishing the rationale for a Digital Twin Framework in the built environment — R1/PR11","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr11","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr11","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5194/ems2025-573","name":"Quantifying uncertainty from the Extremes Digital Twin of Destination Earth","source":"crossref","abstract":"Within the Destination Earth initiative, the Extremes Digital Twin (DT) has been produced continuously at ECMWF since summer 2023. The Extremes DT is running at 4.4 km horizontal resolution every day starting at 00 UTC out to 5 days. Due to computational constraints it is currently comprised of a single deterministic forecast, which limits an assessment of uncertainty unless an ensemble or other methodologies are introduced. Currently, three approaches are under investigation to quantify uncertainty in the Extremes DT: (i) use of a physical ensemble at 4.4 km resolution with 10 members, (ii) use of machine learning to downscale the uncertainty information from the operational 9 km ensemble system to 4.4 km and (iii) application of statistical/neighbourhood (NB) methods for uncertainty quantification. In this presentation the implementation and first results of the NB method are described. The aim of the NB method is to characterize uncertainty from a single high-resolution deterministic forecast run by taking into account the inherent uncertainty that comes from location errors or timing errors of predicted localised weather phenomena. Uncertainty related to location errors is represented by constructing a pseudo-ensemble from neighbouring grid points in horizontal space. Uncertainty related to timing errors is constructed by investigating a time window incorporating forecast lead times before and after the actual lead time. Following this construction, the two main free parameters of the method that require investigation are the size of the search radius in horizontal space and the width of the time window. NB methods are widely used in kilometre-scale limited area models that typically operate on regular grids. The challenge here has been the implementation on an irregular spherical grid for global fields. It is now possible to compute NB probabilities on the native TCo2559 grid of the IFS model, so that the reduction of extreme values by interpolation is avoided. The presentation will describe the results that aim to optimise space- and timescale choices of the neighbourhood method for applications.","url":"https://doi.org/10.5194/ems2025-573","authors":["Balázs Szintai","Nigel Roberts","Anca Brookshaw"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-30T10:05:34Z","doi":"10.5194/ems2025-573","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00019-7","name":"Reducing errors in disaster management data with digital twin architecture","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00019-7","authors":["Yusuf Kaşan","Mehmet Akşit","Umutcan Ayasandır","Nail Karabay","Seher Turan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00019-7","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/ust66533.2025.11340026","name":"Dynamic Scheduling and Conflict ReDynamic Scheduling and Conflict Resolution for Urban Low-Altitude Logistics UAV Swarms Based on Digital Twin Technology: Solution for Urban Low-Altitude Logistics UAV Swarms Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ust66533.2025.11340026","authors":["Ning Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-20T20:39:07Z","doi":"10.1109/ust66533.2025.11340026","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.52843/cassyni.fw11ys","name":"Multiscale modelling based on biophysical mechanisms for the human digital twin","source":"crossref","abstract":"We have developed a biophysical modelling framework in the 12 Labours project, using compartmental bond graphs and spatial scaffolds. Bond graphs allow us to represent the physiological function of proteins and functional cell units based on conservation of mass, charge and energy. Cell models of epithelial cells, cardiomyocytes, and other cell types, are used to understand how cells maintain homeostasis. To understand homeostasis at the whole-body level, the cell models are being incorporated into models of the cardiorespiratory system and the autonomic nervous system. Spatial finite element scaffolds are used to represent organ/tissue structure and whole-body anatomy. The talk will show how this physics-based multiscale modelling framework is being developed to help interpret physiological and anatomical data for the human digital twin.","url":"https://doi.org/10.52843/cassyni.fw11ys","authors":["Peter Hunter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-10T04:33:56Z","doi":"10.52843/cassyni.fw11ys","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1021/acs.iecr.5c02916.s001","name":"Real-Time Feed-Rate Optimization in 3HP Fermentation Using Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acs.iecr.5c02916.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-21T03:30:22Z","doi":"10.1021/acs.iecr.5c02916.s001","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003732167-5","name":"Fired Heater","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-5","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3403/30503372","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30503372","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T20:30:32Z","doi":"10.3403/30503372","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3389/friot.2026.1870191","name":"The emerging role of digital twin technologies in computer engineering research: a systematic literature review","source":"crossref","abstract":"Introduction Digital twin technology is emerging as a key enabler of cyber-physical systems, intelligent networks, and data-driven automation. However, research on digital twins is often framed from mechanical or electrical perspectives rather than from computer engineering. Although several comprehensive surveys have addressed enabling technologies, security threats, industrial IoT applications, and business innovation perspectives, none have systematically examined how core computer engineering concerns, including embedded platforms, hardware-software co-design, real-time scheduling, edge-cloud orchestration, and on-device AI, collectively shape the design, deployment, and evaluation of digital twin systems. Methods To address this gap, this paper presents a systematic literature review of 45 peer-reviewed publications that explicitly engage with digital twins in computer engineering contexts. The review was conducted using the PRISMA 2020 framework, and inductive thematic analysis was used to identify and synthesize major research themes across the selected studies. Results The analysis revealed six major themes: (i) computer engineering foundations of digital twin systems, including embedded and real-time platforms, hardware-software co-design, and cyber-physical architectures; (ii) networked and distributed infrastructure for digital twins, including IoT, 5G/6G, and edge-cloud computing; (iii) computer engineering for intelligent digital twins, including on-device AI, learning-enabled control, and integration of machine learning with twin models; (iv) security, privacy, and dependability in digital twin-enabled cyber-physical systems; (v) modeling, simulation, and testing of digital twin systems; and (vi) application domains and use cases. The review further shows that networked and AI-enabled digital twins are growing rapidly but remain largely at the prototype stage. Few studies rigorously evaluate digital twin implementations on constrained computing platforms, while interoperability, standardized validation, and safe adaptivity remain persistent challenges. Discussion and Conclusion Unlike prior surveys that catalog digital twin technologies by domain or threat model, this review synthesizes findings through a computer engineering lens. The results highlight the need for hardware-aware, security-integrated, and systematically validated approaches to digital twin design and deployment. The paper concludes by outlining a research agenda to advance the development of robust, interoperable, and scalable digital twin systems within computer engineering.","url":"https://doi.org/10.3389/friot.2026.1870191","authors":["Nayyar R. Kibria","Javeed Kittur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T04:50:45Z","doi":"10.3389/friot.2026.1870191","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-032-10362-8_2","name":"Aquaculture Robotics: Challenges, Opportunities and Future Prospects and the Role of Digital Twin Technology and Autonomous Solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-10362-8_2","authors":["Linn D. Evjemo","Sveinung J. Ohrem","Biao Su","Martin Føre","Eleni Kelasidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-12T22:17:10Z","doi":"10.1007/978-3-032-10362-8_2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.4968828","name":"Developing a Digital Twin for Tunnel Lining in Mechanized Tunneling Construction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4968828","authors":["Daniel Rodriguez Polania","Anna Osello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-26T20:47:54Z","doi":"10.2139/ssrn.4968828","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.31003/uspnf_s203684_10101_01","name":"Digital Twin—Enabling the Future of Development and Manufacturing of Pharmaceutical and Biopharmaceutical Products with Standardization and Consistency","source":"crossref","abstract":"","url":"https://doi.org/10.31003/uspnf_s203684_10101_01","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T15:47:16Z","doi":"10.31003/uspnf_s203684_10101_01","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003268048","name":"Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003268048","authors":["Ranjan Ganguli","Sondipon Adhikari","Souvik Chakraborty","Mrittika Ganguli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-29T23:32:52Z","doi":"10.1201/9781003268048","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/icsc63108.2024.10895022","name":"Intelligent Digital Twin (DT) for Wireless Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsc63108.2024.10895022","authors":["Mohsen Guizani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-25T18:44:34Z","doi":"10.1109/icsc63108.2024.10895022","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1021/acsnano.1c07769.s002","name":"Nanofibril Alignment during Assembly Revealed by an Xray Scattering-Based Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsnano.1c07769.s002","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-02-01T14:05:50Z","doi":"10.1021/acsnano.1c07769.s002","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.20944/preprints202110.0148.v1","name":"Digital Twin: An Oracle for Efficient Crowdsourcing of Research &amp; Technology Development through Blockchain","source":"crossref","abstract":"Since its inception in the late 2000s, blockchain has emerged as a powerful tool for creating trust without intermediaries to incentivize global communities for working for a common goal, such as the improvement of its very ecosystem, its applications and community adoption. While first blockchains were mainly devised for confirming transactions of their innate cryptocurrencies like Bitcoin, smart-contract blockchains like Ethereum can interface with the real-world through so-called &amp;ldquo;oracles&amp;rdquo;, which feed trustful off-chain information. This paper introduces digital twins of physical objects and processes as computational oracles to effectively unleash the tremendous opportunity offered by blockchain to the realm of fundamental science, research and technology development (RTD). The crowdsourcing concept is illustrated with the example of centrifugal flow control in microfluidic &amp;ldquo;Lab-on-a-Disc&amp;rdquo; (LoaD) systems.","url":"https://doi.org/10.20944/preprints202110.0148.v1","authors":["Jens Ducrée"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-11T09:37:45Z","doi":"10.20944/preprints202110.0148.v1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.6028/nist.ams.400-2","name":"Use Case Scenarios for Digital Twin Implementation Based on ISO 23247","source":"crossref","abstract":"","url":"https://doi.org/10.6028/nist.ams.400-2","authors":["Guodong Shao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-04T20:43:32Z","doi":"10.6028/nist.ams.400-2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/etr.2026.10009.pr13","name":"Recommendation: Establishing the rationale for a Digital Twin Framework in the built environment — R2/PR13","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr13","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr13","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1093/combul/bwac078","name":"What is a Digital Twin?","source":"crossref","abstract":"Abstract A digital twin isn’t just about exacting graphics, the technology enables fully working models of complete systems. We explore these virtual worlds and learn about the possibilities with Cosmo Tech’s CEO Michel Morvan.","url":"https://doi.org/10.1093/combul/bwac078","authors":["Michel Morvan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-19T20:58:01Z","doi":"10.1093/combul/bwac078","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2118/222960-ms","name":"Supply Chain Network Optimization &amp; Simulation Model Digital Twin","source":"crossref","abstract":"Executive Summary About Borouge Borouge is a leading petrochemical company that provides creative plastics solutions for a wide range of industries. Established in 1998, Borouge is a joint venture between the Abu Dhabi National Oil Company (ADNOC), one of the world’s leading oil and gas companies and Austria based Borealis. petrochemical and plastics manufacturing plant is in Al Ruwais at about 250 km west of Abu Dhabi. In addition to our production site in Abu Dhabi, Borouge also has a Compounding Manufacturing Plant (CMP) in Shanghai which compounds resins from the Ruwais plant specifically for the Asian automotive industry. Supply Chain Design &amp; Planning Model Need As a world leader in polymer solutions, we required an established digital twin for its supply chain planning (more specifically logistic network optimization &amp; simulation) and configurable assets. The initial transformation process focused on UAE production site, global supply chain network and operations, with an emphasis on cost and service levers. The need was to develop a digital twin within the first 8 months of the project. The solution was to be used as a strategic tool to define the optimal network. This was to be done by selecting the optimal Inventory Holding Point (\"IHP\") to serve customers based on associated costs, capacities and lead times. Key Objectives The primary objective of the Supply Chain Network Optimization &amp; Simulation model was to optimize the Inventory Holding Point (\"IHP\") selection between Al Ruwais and the destination port to minimize network cost leading to better Development Brief The model was developed using: Outcome A Network Optimization Model utilizing applications like Supply Chain Guru X &amp; Data Guru was created that lead to following outcomes and certain capabilities for the end user: Results This information has been utilized by various departments for orders executions. It is helping the business to better analyze data to optimize operations, enhance customer experience, and reduce costs. Second-Level Heading.","url":"https://doi.org/10.2118/222960-ms","authors":["Jawaher Almaazmi","Mohamed Alzaabi","Kiran Naidu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-04T00:22:44Z","doi":"10.2118/222960-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5316805","name":"Digital Twin-Empowered Task Offloading in Vec: Attention-Augmented Drl for Mobility-Resilient Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5316805","authors":["Ihsan Ullah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-23T19:37:03Z","doi":"10.2139/ssrn.5316805","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003732167-6","name":"Heat Exchanger","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-6","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-6","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4337/9781035319701.00197","name":"Digital twin-driven smart retail logistics","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035319701.00197","authors":["Daniel Thiel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-02T09:41:32Z","doi":"10.4337/9781035319701.00197","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.38023/9c001d69-6a58-4a3f-b739-73f0da48460f","name":"Regulation of digital patient twin in healthcare under EU law","source":"crossref","abstract":"","url":"https://doi.org/10.38023/9c001d69-6a58-4a3f-b739-73f0da48460f","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-24T20:06:04Z","doi":"10.38023/9c001d69-6a58-4a3f-b739-73f0da48460f","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/est2.242","name":"<scp>Multi‐dimensional</scp> digital twin of energy storage system for electric vehicles: A brief review","source":"crossref","abstract":"Abstract This article proposes a Digital Twin (DT) framework for the whole life cycle of batteries. Specifically, in the stage of R&amp;D, Digital twin can integrate the data of all technical fields into one model to optimize the battery's performance. During the manufacturing and production phase, DT can establish a digital production line and workshop to improve it. In the operation stage, aiming at various fault features in the battery operation process, with the assistance of large data samples, digital twin simulation is used to determine the fault status of the equipment accurately, to realize the self‐perception, judgment, error correction, early warning and other functions of the equipment. The article also proposes a Postoperation phase to recycle the battery to resolve the battery materials shortage problem. The critical research direction is a futuristic plan of battery communication with a charging Station, Battery Swapping System, Smart Grid, and Renewable resources. This sophisticated DT can comprehensively improve the energy system's entire life cycle management. Moreover, it can help perceive customer demand and offer an efficient operation mode to reduce running costs.","url":"https://doi.org/10.1002/est2.242","authors":["Vandana","Akhil Garg","Bijaya Ketan Panigrahi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-02T11:21:22Z","doi":"10.1002/est2.242","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5352873","name":"Comparative Evaluation of Physical Testing and Digital Twin Simulations in Electric Axle Performance Validation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5352873","authors":["Evelyn Daisy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-24T16:42:42Z","doi":"10.2139/ssrn.5352873","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.15199/48.2023.11.31","name":"Prerequisites for the creation of Digital Twin in the tasks of  determining the technical condition of power transformers in  specific operating conditions","source":"crossref","abstract":"","url":"https://doi.org/10.15199/48.2023.11.31","authors":["Milan Belik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-05T22:31:06Z","doi":"10.15199/48.2023.11.31","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/en18174757","name":"A Comprehensive Review of Well Integrity Challenges and Digital Twin Applications Across Conventional, Unconventional, and Storage Wells","source":"crossref","abstract":"Well integrity is paramount for the safe, environmentally responsible, and economically viable operation of wells throughout their lifecycle, encompassing conventional oil and gas production, unconventional resource extraction (e.g., shale gas and tight oil), and geological storage applications (CO2, H2, and natural gas). This review presents a comprehensive synthesis of well integrity challenges, failure mechanisms, monitoring technologies, and management strategies across these operational domains. Key integrity threats—including cement sheath degradation (chemical attack, debonding, cracking, microannuli), casing failures (corrosion, collapse, burst, buckling, fatigue, wear, and connection damage), sustained casing pressure (SCP), and wellhead leaks—are examined in detail. Unique challenges posed by hydraulic fracturing in unconventional wells and emerging risks in CO2 and hydrogen storage, such as corrosion, carbonation, embrittlement, hydrogen-induced cracking (HIC), and microbial degradation, are also highlighted. The review further explores the evolution of integrity standards (NORSOK, API, ISO), the implementation of Well Integrity Management Systems (WIMS), and the integration of advanced monitoring technologies such as fiber optics, logging tools, and real-time pressure sensing. Particular emphasis is placed on the role of digital technologies—including artificial intelligence, machine learning, and digital twin systems—in enabling predictive maintenance, early failure detection, and lifecycle risk management. The novelty of this review lies in its integrated, cross-domain perspective and its emphasis on digital twin applications for continuous, adaptive well integrity surveillance. It identifies critical knowledge gaps in modeling, materials qualification, and data integration—especially in the context of long-term CO2 and H2 storage—and advocates for a proactive, digitally enabled approach to lifecycle well integrity.","url":"https://doi.org/10.3390/en18174757","authors":["Ahmed Ali Shanshool Alsubaih","Kamy Sepehrnoori","Mojdeh Delshad","Ahmed Alsaedi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-08T11:51:12Z","doi":"10.3390/en18174757","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/app12104811","name":"Digital Twin for Human–Robot Collaboration in Manufacturing: Review and Outlook","source":"crossref","abstract":"Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber–physical systems. These technologies can also support the creation of virtual replicas which exhibit real-time characteristics of a physical system. These virtual replicas are commonly referred to as digital twins. With the increased adoption of digitized products, processes and services across manufacturing sectors, digital twins will play an important role throughout the entire product lifecycle. At the same time, collaborative robots have begun to make their way onto the shop floor to aid operators in completing tasks through human–robot collaboration. Therefore, the focus of this paper is to provide insights into approaches used to create digital twins of human–robot collaboration and the challenges in developing these digital twins. A review of different approaches for the creation of digital twins is presented, and the function and importance of digital twins in human–robot collaboration scenarios are described. Finally, the paper discusses the challenges of creating a digital twin, in particular the complexities of modelling the digital twin of human–robot collaboration and the exactness of the digital twin with respect to the physical system.","url":"https://doi.org/10.3390/app12104811","authors":["Aswin K. Ramasubramanian","Robins Mathew","Matthew Kelly","Vincent Hargaden","Nikolaos Papakostas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-10T08:31:55Z","doi":"10.3390/app12104811","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.38007/978-1-80053-586-2","name":"A Complete Guide to Key Digital Twin Technologies: Modeling Integration, Rendering Interaction, and Edge Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.38007/978-1-80053-586-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-25T03:40:15Z","doi":"10.38007/978-1-80053-586-2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-21343-4_30","name":"Thriving Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_30","authors":["Joel Myers","Victor Larios","Oleg Missikoff"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_30","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00031-x","name":"Role of artificial intelligence in enhancing school digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00031-x","authors":["Prabhakar Krishnan","Amit Kumar Tyagi","Shabnam Kumari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00031-x","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.22214/ijraset.2026.76882","name":"Development of AI/ML Enabled Digital Twin for EHV 400/220 kV Substation: A Review","source":"crossref","abstract":"The increasing complexity of Extra High Voltage (EHV) 400/220 kV substations demands intelligent, automated solutions for asset management, operational efficiency, and predictive maintenance. Traditional maintenance and monitoring systems rely on periodic inspections and static threshold-based alarms, which fail to capture dynamic operational variations and early degradation indicators. To overcome these limitations, this project proposes an AI/ML-enabled Digital Twin framework designed to create a real-time, data-driven virtual replica of the physical substation, enabling continuous situational awareness and proactive maintenance decision-making. The proposed system integrates multi-source data acquired from SCADA, Intelligent Electronic Devices (IEDs), IoT sensors, and condition-monitoring equipment to reflect asset health and operational states accurately. Advanced machine learning algorithms, including regression, classification, and time-series forecasting models, are employed to predict potential faults, estimate the remaining useful life of critical equipment, and optimize maintenance schedules. The digital twin architecture utilizes a hybrid edge–cloud computing environment to ensure low-latency analytics, efficient storage, and scalable processing of high-frequency operational data streams. An interactive visualization interface supports the model, offering dynamic dashboards, predictive analytics, and diagnostic insights for operators. This integration of Artificial Intelligence, Machine Learning, and Digital Twin technologies establishes a comprehensive predictive maintenance ecosystem that reduces downtime, minimizes operational risks, and extends asset lifespan. The proposed framework signifies a major step toward intelligent, selflearning substations and contributes to the realization of resilient, efficient, and autonomous power systems for the next generation of smart grids","url":"https://doi.org/10.22214/ijraset.2026.76882","authors":["Dr. S Gunasekaran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-12T11:19:06Z","doi":"10.22214/ijraset.2026.76882","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5220/0011589900003329","name":"Digital Twin Architecture of a Cyber-physical Assembly Transfer System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0011589900003329","authors":["Matteo De Marchi","Rafael Rojas","Benedikt Mark","Tanel Aruväli","Erwin Rauch","Dominik Matt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-27T19:08:55Z","doi":"10.5220/0011589900003329","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/wevj15050208","name":"Application of Digital Twin in Electric Vehicle Powertrain: A Review","source":"crossref","abstract":"Digital Twin (DT) is widely regarded as a highly promising technology with the potential to revolutionize various industries, making it a key trend in the Industry 4.0 era. In a cost-effective and risk-free setting, digital twins facilitate the interaction and merging of the physical and informational realms. The application of digital twins spans across different sectors, including aerospace, healthcare, smart manufacturing, and smart cities. As electric vehicles have experienced rapid growth, there is a growing demand for the development of innovative technologies. One potential area for digital twins application is within the automotive sector. The powertrain system of electric vehicles (EVs) consists of three parts, power source, power electronic system, and electric motor, which are considered as the core components of electric vehicles. The focus of this paper is to conduct a methodical review regarding the use of digital twins in the powertrain of electric vehicles (EVs). While reviewing the development of digital twin technology, its main application scenarios and its use in electric vehicle powertrains are analysed. Finally, the digital twins currently encounter several challenges that need to be addressed, and so the future development of their application to electric vehicles are summarized.","url":"https://doi.org/10.3390/wevj15050208","authors":["Xiaokang Li","Wenxu Niu","Haobin Tian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-10T05:25:47Z","doi":"10.3390/wevj15050208","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/en16196952","name":"Review of Electric Vehicle Testing Procedures for Digital Twin Development: A Comprehensive Analysis","source":"crossref","abstract":"This article explores the transformative potential of digital twin (DT) technology in the automotive sector, focusing on its applications in enhancing propulsion drive systems. DT technology, a virtual representation of physical objects, has gained momentum due to its real-time monitoring and analysis capabilities. Within the automotive industry, where propulsion systems dictate vehicle performance, DTs offer a game-changing approach. Propulsion drive systems encompass electric motors, transmissions, and related components, significantly impacting efficiency and power delivery. Traditional design and testing methods need help addressing these systems’ intricate interactions. This article aims to investigate how DTs can revolutionize propulsion systems. The study examines various applications of DTs, ranging from predictive maintenance to performance optimization and energy efficiency enhancement. The article underscores the technology’s potential by reviewing case studies and real-world implementations. It also outlines challenges tied to integration and validation. In unveiling the capabilities of DT technology for propulsion systems, this article contributes to a comprehensive understanding of its role in shaping a more data-driven and efficient automotive industry.","url":"https://doi.org/10.3390/en16196952","authors":["Viktor Rjabtšikov","Anton Rassõlkin","Karolina Kudelina","Ants Kallaste","Toomas Vaimann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-05T03:05:19Z","doi":"10.3390/en16196952","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/s00170-022-09717-9","name":"Digital twin applications in aviation industry: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-09717-9","authors":["Minglan Xiong","Huawei Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-28T13:02:52Z","doi":"10.1007/s00170-022-09717-9","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.nexres.2025.100969","name":"Digital twin innovations for induction motor monitoring and predictive maintenance: A 2020–2025 review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.nexres.2025.100969","authors":["Pravin Phutane","Sudarshan Chavan","Hitendra Pawar","Sanket Mane","Vaibhav Barde"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-25T07:32:59Z","doi":"10.1016/j.nexres.2025.100969","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.7050234","name":"Multiphase Flow Metering: A Critical Review of Radiation-Based Sensing, Simulation Frameworks, and Digital Twin Integration for Large-Diameter Pipeline Applications","source":"crossref","abstract":"Accurate measurement of multiphase flow — mixtures of gas, oil, and water moving simultaneously through a single conduit — sits at the heart of production management in the oil and gas industry. This review examines where the field currently stands and, equally importantly, where the persistent gaps remain. We cover conventional and emerging MPFM technologies with deliberate emphasis on three areas that have seen rapid development but incomplete review coverage: radiation-based measurement, simulation frameworks, and digital twin integration. Measurement approaches evaluated here include differential pressure devices, Coriolis meters, electrical impedance and capacitance tomography, optical and ultrasonic techniques, gamma-ray attenuation systems, X-ray transmission and tomographic methods, and virtual flow meters. On the simulation side, three-dimensional CFD, Monte Carlo radiation transport, one-dimensional dynamic simulators (OLGA, LedaFlow), and reduced-order models including physics-informed neural networks (PINNs) are reviewed not as separate topics but as a linked inference chain. Digital twin implementations are assessed with a focus on real deployed systems rather than conceptual proposals, and the machine learning coverage extends from classical tree-based classifiers through deep networks, transfer learning, and hybrid physics-constrained architectures. Commercial MPFM platforms are mapped against a measurement macro-architecture taxonomy that allows principled cross-vendor comparison. Throughout, the review highlights the persistent challenges that remain unsolved: slip ambiguity at high gas volume fraction, the difficulty of calibration transfer from small test loops to large-diameter field pipelines, and the absence of openly shared benchmark datasets.","url":"https://doi.org/10.2139/ssrn.7050234","authors":["Mahdi Izadi","Syamimi Saadon","Mohd  Rashdan Saad","Azmin  Shakrine Mohd Rafie","Aduwati Sali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T18:41:38Z","doi":"10.2139/ssrn.7050234","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2174/0118722121479285260813044923","name":"Metaverse-driven Digital Twin Architectures for\nLow-latency Smart Agriculture IoT: A\nPRISMA-based Structured Scoping Review and\nSimulation Framework","source":"crossref","abstract":"Introduction/Objective: Given the wide adoption of IoT in agriculture, real-time monitoring of crop yield can now be performed thanks to cloud-based systems. Traditional cloud computing systems have high latency compared to the required demands, limiting their use in agriculture. This research explores the extent to which the metaverse and digital twins can reduce data distribution latency in a hybrid cloud-edge-fog computing environment. Methods: This structured scoping review follows the PRISMA 2020 method. Studies were first collected through searches within the Scopus database. Subsequent selection criteria included language, document type, and year (papers published between 2020 and 2026). Next, 106 studies were selected using keywords, such as \"metaverse,\" \"digital twin,\" and \"smart agriculture.\" A total of 24 papers were selected for further analysis. Results: The application of hybrid computing environments is common practice in present-day agriculture. Digital twins, combined with metaverse simulation tools, allow for real-time operation of agricultural enterprises through prediction and process synchronization. Future improvements can be achieved through innovations in 5G/6G wireless networking and artificial intelligence. Nonetheless, many problems arise when implementing them, especially in rural areas. Discussion: Combining metaverse simulation capabilities and advanced distributed computing environments provides an efficient solution for the implementation of smart agriculture. Concerns about compatibility, scalability, and potential differences between models and reality still exist. Moreover, the issue of the digital divide may be addressed through decentralized computing architectures. Conclusion: Metaverse technology, coupled with digital twins and distributed computing infrastructure, is a promising strategy for minimizing the data distribution latency in smart agriculture.","url":"https://doi.org/10.2174/0118722121479285260813044923","authors":["Ametovi Koffi Jacques Olivier","Vaithegy Doraisamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-30T06:46:08Z","doi":"10.2174/0118722121479285260813044923","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/pr14132198","name":"A Review of Digital Twin Applications in Distribution Network Simulation","source":"crossref","abstract":"The large-scale connection of distributed energy resources, electric vehicles, and flexible loads, together with expanding low-voltage monitoring and edge sensing, is turning distribution networks into active cyber-physical systems. Conventional offline simulation cannot fully support the online state tracking, short-term scenario analysis, operational risk assessment, and closed-loop decision support now expected in network operation. Digital twins offer a way to address this gap by linking network models to operational data and revising those models as system conditions change. After systematically searching Scopus and the Web of Science, six application areas for digital twin applications in distribution network simulations are summarized: model construction, simulation and validation platforms; asset, equipment and spatial digitalization; DER (distributed energy resource), PV, EV (electric vehicle) and prosumer integration; operation, monitoring and situational awareness; protection, fault diagnosis and resilience; and optimization, control and planning. The review examines the architectures, enabling technologies, and applications reported across this evidence base. The literature indicates a gradual shift from conceptual digital representations toward real-time simulation, hardware-in-the-loop validation, data-driven model updating, and distribution-side decision support. Persistent gaps concern low-voltage observability, data governance, model credibility assessment, standardized interfaces, cybersecurity, and closed-loop control.","url":"https://doi.org/10.3390/pr14132198","authors":["Guohang Zhang","Chengxi Liu","Shuoyang Li","Yuneng Wang","Bo Peng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-06T10:43:11Z","doi":"10.3390/pr14132198","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.14445/22315381/ijett-v72i8p109","name":"Study and Analysis of Various Smart Vehicle Vulnerable Prevention Using Digital Twin Technology: A Challenging Review","source":"crossref","abstract":"","url":"https://doi.org/10.14445/22315381/ijett-v72i8p109","authors":["Ravula Vishnukumar","Mangayarkarasi Ramaiah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T06:05:23Z","doi":"10.14445/22315381/ijett-v72i8p109","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.procir.2020.02.146","name":"Review and comparison of the methods of designing the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2020.02.146","authors":["Dmytro Adamenko","Steffen Kunnen","Robin Pluhnau","André Loibl","Arun Nagarajah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-08-18T14:20:00Z","doi":"10.1016/j.procir.2020.02.146","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5346174","name":"Digital Twin-Based Teach-In for Cooperative Robot Task Programming","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5346174","authors":["Adrian Reuther","Christian Plesker","Benjamin Schleich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-10T01:37:38Z","doi":"10.2139/ssrn.5346174","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.6223740","name":"Subject: Submission to Applied Energy — Hybrid AI–Digital Twin Power System Simulation Platform","source":"crossref","abstract":"Modern power systems are increasingly exposed to operational uncertainty due to high penetration of renewable energy sources, widespread deployment of distributed energy resources, and rapidly evolving load behavior driven by electrification. Although commercial power-system simulators provide mature steady-state and dynamic analysis capabilities, they remain largely proprietary, weakly coupled to real-time SCADA/IoT data, and lack adaptive, continuously retrained AI models. This paper presents an open, modular hybrid virtual power system simulation platform that tightly integrates artificial intelligence, digital twins, and real-time data within a closed-loop operational framework. The proposed architecture combines an LSTM-based short-term load forecasting layer, a digital-twin layer implementing Newton–Raphson power flow, contingency analysis, and fault detection, and a data acquisition layer supporting synchronized SCADA/IoT ingestion via MQTT, OPC-UA, and REST APIs. The platform operates as a co-simulation environment in which forecasted operating points drive digital-twin simulations, live measurements continuously synchronize grid states, and prediction errors are fed back through active learning for periodic model retraining. The framework is validated on IEEE 14-bus and IEEE 33-bus test systems, covering both transmission- and distribution-level operation. Results demonstrate strong predictive and computational performance: the LSTM module achieves RMSE ≈ 0.011, while the integrated hybrid AI–DT workflow improves accuracy to RMSE ≈ 0.009 and reduces runtime relative to standalone components. Digital-twin-based fault detection achieves approximately 99% accuracy and F1-score. Comparative benchmarking against representative commercial tools shows reduced latency and tighter end-to-end lifecycle integration. The proposed platform enables real-time decision support for grids.","url":"https://doi.org/10.2139/ssrn.6223740","authors":["John  Mucho Ngundam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T07:40:07Z","doi":"10.2139/ssrn.6223740","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/etr.2026.10009.pr6","name":"Decision: Establishing the rationale for a Digital Twin Framework in the built environment — R0/PR6","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr6","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/app152011136","name":"A Review of an Ontology-Based Digital Twin to Enable Condition-Based Maintenance for Aircraft Operations","source":"crossref","abstract":"The concept of digital twins has been studied for over two decades and the core tenet lies in it being a “digital representation of a connected physical object”. Utilization of digital twins promises to enable superior decision-making, enhanced operational understanding and future predictions to enable levels of Condition Based Maintenance (CBM) through Integrated Vehicle Health Management (IVHM) which exceeds existing capabilities. Digital twins are being embraced by many industries, including aviation, and are often depicted as electronic images of an asset of interest. However, in a less visually appealing manner, they can also be described simply as a collection of data in an organized and easily accessible format from across the lifecycle which describes a feature that addresses a specific use case. This review demonstrates how the creation and maintenance of digital twins will play a critical role in enhancing IVHM to enable CBM within the aerospace industry. Through a literature review, this paper demonstrates the need for digital twins, of a sufficient level of fidelity, to facilitate the transition to being condition based through deeper levels of operational and component understanding. It emphasizes how detailed knowledge, represented through ontologies, regarding component design, manufacturing, and operational history aid in achieving the desired fidelity levels. By synthesizing insights from various industries with a focus on aerospace applications, this paper aims to provide a comprehensive understanding, focused on the aviation industry, of digital twin definitions, their creation processes, fidelity measurement, and their implications for CBM, while acknowledging the limitations of the current research landscape.","url":"https://doi.org/10.3390/app152011136","authors":["Darren B. Macer","Ian K. Jennions","Nicolas P. Avdelidis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-17T11:39:34Z","doi":"10.3390/app152011136","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/s40436-020-00302-5","name":"Digital twin-based sustainable intelligent manufacturing: a review","source":"crossref","abstract":"Abstract As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.","url":"https://doi.org/10.1007/s40436-020-00302-5","authors":["Bin He","Kai-Jian Bai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-04T03:29:27Z","doi":"10.1007/s40436-020-00302-5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-030-02203-7_16","name":"Twin-Control Evaluation in Industrial Environment: Automotive Case","source":"crossref","abstract":"Abstract This chapter presents the evaluation of Twin-Control in an automotive validation scenario consisting in the production line of a RENAULT electrical motor component that is composed by three COMAU machine tools. Automotive industry requires very optimized and controlled machining process, due to large batches and tight margin cost. In addition, life-cycle features like energy consumption and maintenance costs are of special relevance. The evaluation covers the different stages of the product developing cycle. This document highlights different obtained results of the implementation of Twin-Control features and their impact. Great benefits are provided to the industrial end-users.","url":"https://doi.org/10.1007/978-3-030-02203-7_16","authors":["Mikel Armendia","Mani Ghassempouri","Jaouher Selmi","Luke Berglind","Johannes Sossenheimer","Dominik Flum","Flavien Peysson","Tobias Fuertjes","Denys Plakhotnik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_16","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3280/so2024-002002","name":"‘Digital shadow' or ‘digital twin'? Evidence on digital approaches, working condition and organisational changes from two I4.0 lean production manufacturing","source":"crossref","abstract":"The debate on digitalisation and changes in manufacturing has focused on the digital ‘twin/digital shadow' dichotomy, two approaches to digital technology implementation. At the same time, the literature has paid great attention to the integration between the Industry 4.0 paradigm and lean production as well as to the different outcomes of such integration in terms of ‘augmented lean', ‘distorted lean' and ‘lean trap'. This paper analyses the approaches to digitalisation adopted by two German-owned manufacturing firms in Northern Italy that have implemented lean production, focusing on the factors behind this adoption and the potential consequences on working conditions and organisation. The two companies are leaders in their respective sectors (sports cars and high-tech air conditioners), are inspired by lean principles and adhere to the I4.0 paradigm, to which the literature tends to refer the digital twin approach; however, the results show that in both cases a digital shadow approach predominates, even if the factors underlying this choice appear to be different. The research highlights how the implementation of a ‘digital shadow' approach, while reducing the risks of technology substitution of jobs, can have critical implications on working conditions and, above all, can lead to a ‘lean trap' by limiting the innovation potential of new technologies, while jeopardising the sustainability of lean itself.","url":"https://doi.org/10.3280/so2024-002002","authors":["Sara Caria","Matteo Rinaldini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-26T08:48:50Z","doi":"10.3280/so2024-002002","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.63630/jfdo.13.1","name":"Robust-Fuzzy Optimization Model for Personalized Digital Advertising with a Digital Twin and Cognitive Intelligence Approach","source":"crossref","abstract":"","url":"https://doi.org/10.63630/jfdo.13.1","authors":["Hamed Nozari","Hossein Abdi","Naser Heidari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-21T14:49:12Z","doi":"10.63630/jfdo.13.1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/ojcoms.2026.3686199/mm1","name":"Agentic-AI Framework for Integrated Design, Implementation, Testing, and Operation of Digital Twin Networks_supp1-3686199.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ojcoms.2026.3686199/mm1","authors":["Rami Khaldi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T19:52:26Z","doi":"10.1109/ojcoms.2026.3686199/mm1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1049/et.2021.0304","name":"What's in Our Future? An Earth 'Twin' Will Tell Us [Environment Digital Twin]","source":"crossref","abstract":"","url":"https://doi.org/10.1049/et.2021.0304","authors":["T. Pultarova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-25T14:07:19Z","doi":"10.1049/et.2021.0304","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-89654-5_3","name":"Role of Enterprise Digital Twin in Enhancing Business Agility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-89654-5_3","authors":["Dushyanthi Mulpuru","Kaustav Bhattacharya","Souvik Barat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-10T09:19:47Z","doi":"10.1007/978-3-031-89654-5_3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4018/979-8-2600-1669-5.ch014","name":"Sustainability-Driven Cognitive Digital Twins for Enterprise Transformation","source":"crossref","abstract":"The rapid advancement of digital twin technology, combined with developments in artificial intelligence and sustainability-driven innovation, is transforming enterprise asset management. Traditional approaches rely on periodic monitoring and reactive maintenance, limiting predictive capabilities and long-term environmental and economic optimization. While digital twins provide virtual representations of physical assets, many applications remain focused on monitoring rather than intelligent decision support. This chapter proposes a conceptual framework for Cognitive Digital Twins to enable sustainable enterprise transformation. The framework integrates cognitive capabilities—perception, attention, memory, reasoning, learning, and problem solving—within a multi-layer architecture that supports predictive analytics, lifecycle management, and decision-making. By embedding sustainability principles and circular resource management, the framework aligns digital twin systems with Industry 5.0, enabling resilient, intelligent, and environmentally responsible enterprise systems.","url":"https://doi.org/10.4018/979-8-2600-1669-5.ch014","authors":["Nandini Bhati","Abhinav Kataria","Pankaj Dhaundiyal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T12:21:41Z","doi":"10.4018/979-8-2600-1669-5.ch014","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.aei.2023.101876","name":"A systematic review of digital twin about physical entities, virtual models, twin data, and applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2023.101876","authors":["Xin Liu","Du Jiang","Bo Tao","Feng Xiang","Guozhang Jiang","Ying Sun","Jianyi Kong","Gongfa Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-28T12:34:45Z","doi":"10.1016/j.aei.2023.101876","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-25692-9_9","name":"Digital Twins and Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_9","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_9","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1049/pbpc071e_ch4","name":"Digital twins for citizen engagement","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_ch4","authors":["Andrew S. Wilson","Adrian Walker"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_ch4","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00005-7","name":"Data clumps as structural indicators in digital twin software: a static analysis perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00005-7","authors":["Nils Baumgartner","Alexander Tessmer","Padma Iyenghar","Elke Pulvermüller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00005-7","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-66719-0_13","name":"Security and Privacy-related Issues in a Digital Twin Context","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-66719-0_13","authors":["Tomas Kulik","Zahra Kazemi","Peter Gorm Larsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-24T12:02:30Z","doi":"10.1007/978-3-031-66719-0_13","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-67778-6_3","name":"DISCS: An Approach for Accelerating the Development of Digital Twins for Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_3","authors":["David McKee","Dennis Dokter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:32Z","doi":"10.1007/978-3-031-67778-6_3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1515/9783110778861-005","name":"Chapter 5 Machine Learning, AI, and IoT to Construct Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110778861-005","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T21:44:34Z","doi":"10.1515/9783110778861-005","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/9781394474486.ch1","name":"Impacts and Challenges of Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.ch1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.ch1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003492146-3","name":"Data Collection and Management for Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-3","authors":["Giovanni Lugaresi","Lulai Zhu","Andrea Matta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-26104-6_8","name":"Individual Assembly Guidance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6_8","authors":["Alexander Pöhler","Iris Gräßler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T02:01:47Z","doi":"10.1007/978-3-031-26104-6_8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.dte.2024.100023","name":"Research on online deformation monitoring of thin-walled parts driven by digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2024.100023","authors":["Caixu Yue","Ruhong Jia","Xiaofei Zhu","Boweng Geng","Jiahao Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-12T12:22:27Z","doi":"10.1016/j.dte.2024.100023","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/memea.2019.8802162","name":"Cardio Twin: A Digital Twin of the human heart running on the edge","source":"crossref","abstract":"","url":"https://doi.org/10.1109/memea.2019.8802162","authors":["Roberto Martinez-Velazquez","Rogelio Gamez","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-08-15T19:07:29Z","doi":"10.1109/memea.2019.8802162","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/icc52391.2025.11160706","name":"A Tiny Twin for Blockage Map in Millimeter-Wave Digital Twin Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc52391.2025.11160706","authors":["Md Salik Parwez","Sai Venkat Reddy Kopparthi","Debashri Roy","Charles J Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-26T17:34:55Z","doi":"10.1109/icc52391.2025.11160706","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.25236/fsst.2023.051110","name":"Construction Methods and Applications of Endangered Animal Digital Twin Models Based on Digital Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.25236/fsst.2023.051110","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-12T10:52:47Z","doi":"10.25236/fsst.2023.051110","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00005-8","name":"Role of digital twins and blockchain for the internet of medical things","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00005-8","authors":["Shalini Kumari","Chander Prabha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:58:13Z","doi":"10.1016/b978-0-443-34226-4.00005-8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.4018/979-8-3373-8177-0.ch009","name":"Comparative Perspectives on Digital Health Transformation of Blockchain and Digital Twin Integration in Estonia and Saudi Arabia","source":"crossref","abstract":"This chapter examines the integration of blockchain and digital twin technologies in transforming healthcare systems, focusing on Estonia and Saudi Arabia. Estonia's mature e-governance infrastructure, built on the X-Road interoperability platform and blockchain validation, supports comprehensive electronic health records and secure data exchange. Saudi Arabia's Vision 2030 and National Transformation Program accelerate modernization through AI, IoMT, smart hospitals, and blockchain-based services. The chapter analyzes how blockchain enhances data integrity, privacy, and interoperability, while digital twins enable real-time monitoring, predictive diagnostics, and operational optimization. Comparative insights highlight strengths, challenges, and governance implications, proposing a unified framework for ethics, transparency, and sustainability in digital healthcare ecosystems.","url":"https://doi.org/10.4018/979-8-3373-8177-0.ch009","authors":["Anvita Rose","Khushboo Malik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T15:14:42Z","doi":"10.4018/979-8-3373-8177-0.ch009","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-443-33333-0.00011-9","name":"Urban digital twin for resilient urban planning: Opportunities and challenges in the Global South","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-33333-0.00011-9","authors":["Mousa Pazhuhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-20T16:26:13Z","doi":"10.1016/b978-0-443-33333-0.00011-9","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00016-1","name":"Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00016-1","authors":["Hikmet Can Doğancı","Ebru Gökalp"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00016-1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003281184-22","name":"Digital Twins in Wind Turbine Condition Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-22","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-22","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.dte.2024.100021","name":"Experimental prototype of mesh antenna based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2024.100021","authors":["Xifan Xu","Tuanjie Li","Xiang Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T12:58:08Z","doi":"10.1016/j.dte.2024.100021","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/j.tre.2026.104718","name":"Digital Twin-integrated circular Dry Port-Seaport network with smart contract and viability Dimensions: A case study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tre.2026.104718","authors":["Shabnam Rekabi","Zeinab Sazvar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-02T16:39:17Z","doi":"10.1016/j.tre.2026.104718","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1017/thg.2018.38","name":"Human Dizygotic Twinning: Evolutionary-Based Explanations/Twin Research Reviews: Conjoined Twins in a Triplet Pregnancy; Double Embryo Transfer; Health Anxiety; Delayed Delivery of the Second Twin/In the Media: Digital Marketing Twins; Bereaved Twin at March for Our Lives; Exchange of Places; Football Players Reunite as Patriots","source":"crossref","abstract":"Human twinning poses a conundrum for researchers, given that the female uterus is optimally designed to carry a single fetus. Evolutionary explanations of dizygotic (DZ or fraternal) twinning provide insight and understanding of this reproductive event. This review is followed by summaries of recent twin research and reports concerning twins in a triplet pregnancy, double embryo transfer; a twin study of health anxiety, and delayed delivery of the second twin. Twin events reported in the media include a pair of digital marketing twins, a speech by a bereaved twin at the March for Our Lives in Washington, D.C., twins who exchanged places, and a same-team reunion of twin football players.","url":"https://doi.org/10.1017/thg.2018.38","authors":["Nancy L. Segal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-07-20T10:50:24Z","doi":"10.1017/thg.2018.38","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-323-99205-3.00001-8","name":"Digital twins and cyber-physical system architecture for smart factory","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-99205-3.00001-8","authors":["A. Kodieswari","K.R. Sabarmathi","A. Kavitha","N.R. Gayathiri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-01T05:29:20Z","doi":"10.1016/b978-0-323-99205-3.00001-8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-89654-5_8","name":"Digital Twin of Fuel Cell","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-89654-5_8","authors":["Ming Zhang","Nasser Amaitik","Amirpiran Amiri","Yuchun Xu","Lucy Bastin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-10T09:35:50Z","doi":"10.1007/978-3-031-89654-5_8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003469612-14","name":"Design of a Smart Healthcare Environment with Digital Twinning and Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-14","authors":["S. Geetha","J. Madhusudanan","V. Prasanna Venkatesan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-14","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.52842/conf.sigradi.2024.2767","name":"Digital Twin implementation retrospective","source":"crossref","abstract":"","url":"https://doi.org/10.52842/conf.sigradi.2024.2767","authors":["Rodrigo López","Lucía Nicotera"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-05T19:24:33Z","doi":"10.52842/conf.sigradi.2024.2767","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.21956/digitaltwin.18729.r27215","name":"Peer Review Report For: A discrete event simulation-based methodology for building a digital twin of patient pathways in the hospital for near real-time monitoring and predictive simulation [version 1; peer review: 2 approved with reservations, 1 not approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.18729.r27215","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-21T03:02:32Z","doi":"10.21956/digitaltwin.18729.r27215","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1186/s42162-024-00373-9","name":"Predictive digital twin for wind energy systems: a literature review","source":"crossref","abstract":"Abstract In recent years, there has been growing interest in digital twin technology in both industry and academia. This versatile technology has found applications across various industries. Wind energy systems are particularly suitable for digital twin platforms due to the integration of multiple subsystems. This study aims to explore the current state of predictive digital twin platforms for wind energy systems by surveying literature from the past five years, identifying challenges and limitations, and addressing future research opportunities. This review is structured around four main research questions. It examines commonly employed methodologies, including physics-based modeling, data-driven approaches, and hybrid modeling. Additionally, it explores the integration of data from various sources such as IoT sensors, historical databases, and external application programming interfaces. The review also delves into key features and technologies behind real-time systems, including communication networks, edge computing, and cloud computing. Finally, it addresses current challenges in predictive digital twin platforms. Addressing these research questions enables the development of hybrid modeling strategies with data fusion algorithms, which allow for interpretable predictive digital twin platforms in real time. Filter methods with dimensionality reduction algorithms minimize the computational resource demand in real-time operating algorithms. Moreover, advancements in high-bandwidth communication networks facilitate efficient data transmission between physical assets and digital twins with reduced latency.","url":"https://doi.org/10.1186/s42162-024-00373-9","authors":["Ege Kandemir","Agus Hasan","Trond Kvamsdal","Saleh Abdel-Afou Alaliyat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-08T14:02:42Z","doi":"10.1186/s42162-024-00373-9","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1049/pbpc071e_ch7","name":"Emerging technologies for securing digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_ch7","authors":["Raman Singh","Bhisham Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_ch7","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-031-58523-4_2","name":"Artificial Intelligence in Digital Twins for Sustainable Future","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_2","authors":["Pranati Rakshit","Nandini Saha","Shibam Nandi","Pritha Gupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-26T21:01:51Z","doi":"10.1007/978-3-031-58523-4_2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/9781394272501.ch4","name":"Digital Twin Architecture","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394272501.ch4","authors":["Palanichamy Naveen","R. Maheswar","U.S. Ragupathy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-19T10:08:54Z","doi":"10.1002/9781394272501.ch4","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.52605/16059921_2023_01_77","name":"DIGITAL TWIN MODEL IN THE CONTEXT OF DIGITAL AFTERLIFE: LEGAL ANALYSIS","source":"crossref","abstract":"","url":"https://doi.org/10.52605/16059921_2023_01_77","authors":["Yulia Vladimirovna Erokhina","Elizaveta Alexandrovna Tokhtueva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-14T09:25:12Z","doi":"10.52605/16059921_2023_01_77","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.52202/081756-0083","name":"A Review of Digital Twin Data-Driven Applications in the Whole Textile Supply Chain","source":"crossref","abstract":"","url":"https://doi.org/10.52202/081756-0083","authors":["Jie Gao","Xin-Rong Li","Cheng-Xu Yuan","Peng-Hui Han"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-15T17:24:27Z","doi":"10.52202/081756-0083","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/automation6030037","name":"Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration","source":"crossref","abstract":"The integration of machine learning (ML) into industrial automation is fundamentally reshaping how manufacturing systems are monitored, inspected, and optimized. By applying machine learning to real-time sensor data and operational histories, advanced models enable proactive fault prediction, intelligent inspection, and dynamic process control—directly enhancing system reliability, product quality, and efficiency. This review explores the transformative role of ML across three key domains: Predictive Maintenance (PdM), Quality Control (QC), and Process Optimization (PO). It also analyzes how Digital Twin (DT) and Edge AI technologies are expanding the practical impact of ML in these areas. Our analysis reveals a marked rise in deep learning, especially convolutional and recurrent architectures, with a growing shift toward real-time, edge-based deployment. The paper also catalogs the datasets used, the tools and sensors employed for data collection, and the industrial software platforms supporting ML deployment in practice. This review not only maps the current research terrain but also highlights emerging opportunities in self-learning systems, federated architectures, explainable AI, and themes such as self-adaptive control, collaborative intelligence, and autonomous defect diagnosis—indicating that ML is poised to become deeply embedded across the full spectrum of industrial operations in the coming years.","url":"https://doi.org/10.3390/automation6030037","authors":["Mohammad Abidur Rahman","Md Farhan Shahrior","Kamran Iqbal","Ali A. Abushaiba"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-05T14:23:19Z","doi":"10.3390/automation6030037","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1145/3566099","name":"Proceedings of the 1st Workshop on Digital Twin &amp; Edge AI for Industrial IoT","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3566099","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T00:40:23Z","doi":"10.1145/3566099","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/ojcoms.2026.3686199/mm2","name":"Agentic-AI Framework for Integrated Design, Implementation, Testing, and Operation of Digital Twin Networks_supp2-3686199.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ojcoms.2026.3686199/mm2","authors":["Rami Khaldi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T19:52:26Z","doi":"10.1109/ojcoms.2026.3686199/mm2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/cars61786.2024.10778873","name":"Digital Twin Models for Cybersecurity Use Cases in Water Utilities and SCADA Systems: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cars61786.2024.10778873","authors":["Joshua Ronald Boogaard","Sriram Prabhakara Rao","Shree Ram Abayankar Balaji","Prakash Ranganathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-13T18:48:38Z","doi":"10.1109/cars61786.2024.10778873","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003492146-1","name":"Introduction to Digital Twins and Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-1","authors":["Maksym Spiryagin","Stefano Bruni","Colin Cole"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.21203/rs.3.rs-2619857/v1","name":"Twin Prime Conjecture Proof","source":"crossref","abstract":"Abstract The Twin Prime conjecture first proposed by French mathematician Alphonse de Polignac in the year 1846 remains unproven until now. This paper sets out to prove the Twin Prime conjecture by creating a system of equations and finding both a y element of ℕ, (y ϵ ℕ) and a y element of k, (y ϵ k) to find the twin prime values and then two further values where each will differ by an exact amount. From this proof the method demonstrates that the elements of these phenomena prove that there will be an infinite number of twin primes that differ by two. MSC: 11-xx","url":"https://doi.org/10.21203/rs.3.rs-2619857/v1","authors":["Daniel Thompson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-23T23:28:42Z","doi":"10.21203/rs.3.rs-2619857/v1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00030-2","name":"Title page","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00030-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:48:40Z","doi":"10.1016/b978-0-443-34174-8.00030-2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5260793","name":"Equipment Cycle Fault Diagnosis and Predictive Maintenance Technology Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5260793","authors":["ke zhang","qinzhe miao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-19T22:46:17Z","doi":"10.2139/ssrn.5260793","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.67324/978-617-8714-33-8-356","name":"Integrated digital twin of ships","source":"crossref","abstract":"The monograph highlights the following: the architectural and methodological principles of designing cyber-physical systems for maritime autonomous surface ships; the development of physics-regularized hybriddigital twins that integrate machine learning with deterministic physical laws; the implementation of predictive analytics, degradation-aware routing, and cyber-resilience strategies within distributed macro-systems.The materials of this monograph will be valuable for researchers, postgraduate students, and engineering specialists in the fields of maritime IT, industrial artificial intelligence, and cyber-physical systems.","url":"https://doi.org/10.67324/978-617-8714-33-8-356","authors":["Vladimir Vychuzhanin","Alexey Vychuzhanin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T14:11:15Z","doi":"10.67324/978-617-8714-33-8-356","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.5286310","name":"Mtwin: A Digital Twin of a Patient's Mental State","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5286310","authors":["Koray Yücel","Mehmet  Hilal Özcanhan","Mehmet  Süleyman Ünlütürk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-12T10:55:12Z","doi":"10.2139/ssrn.5286310","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1002/9781394390205","name":"Digital Twin Technology for Solar Concentrators","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.3390/s22093168","name":"Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating","source":"crossref","abstract":"We live in an environment of ever-growing demand for transport networks, which also have ageing infrastructure. However, it is not feasible to replace all the infrastructural assets that have surpassed their service lives. The commonly established alternative is increasing their durability by means of Structural Health Monitoring (SHM)-based maintenance and serviceability. Amongst the multitude of approaches to SHM, the Digital Twin model is gaining increasing attention. This model is a digital reconstruction (the Digital Twin) of a real-life asset (the Physical Twin) that, in contrast to other digital models, is frequently and automatically updated using data sampled by a sensor network deployed on the latter. This tool can provide infrastructure managers with functionalities to monitor and optimize their asset stock and to make informed and data-based decisions, in the context of day-to-day operative conditions and after extreme events. These data not only include sensor data, but also include regularly revalidated structural reliability indices formulated on the grounds of the frequently updated Digital Twin model. The technology can be even pushed as far as performing structural behavioral predictions and automatically compensating for them. The present exploratory review covers the key Digital Twin aspects—its usefulness, modus operandi, application, etc.—and proves the suitability of Distributed Sensing as its network sensor component.","url":"https://doi.org/10.3390/s22093168","authors":["Mattia Francesco Bado","Daniel Tonelli","Francesca Poli","Daniele Zonta","Joan Ramon Casas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-21T03:46:11Z","doi":"10.3390/s22093168","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1007/978-3-030-88221-1_4","name":"Digital Twin 101","source":"crossref","abstract":"Abstract Digital Twins are a digital representation of real-world physical entities. They help manage complexity and establish a semantic layer on top of the more technical layers. This in turn can make it easier to realize business goals and implement AI/ML solutions using machine data. This chapter provides an overview, some concrete examples, as well as a discussion in which situations the Digital Twin approach should be considered for an AIoT initiative (Fig. 4.1).","url":"https://doi.org/10.1007/978-3-030-88221-1_4","authors":["Dirk Slama"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-31T06:02:02Z","doi":"10.1007/978-3-030-88221-1_4","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.56975/jnrid.v4i7.702864","name":"Physics-Informed AI and Digital Twin Technologies for BLDC Hub Motors in Electric Vehicles: A Comprehensive Review","source":"crossref","abstract":"","url":"https://doi.org/10.56975/jnrid.v4i7.702864","authors":["Swapna A. Morkhade","Dr. Manoj D. Patil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-27T11:54:18Z","doi":"10.56975/jnrid.v4i7.702864","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2139/ssrn.4278830","name":"Research on Product-Part Level Digital Twin Modeling Method Integrable to Digital Thread Framework","source":"crossref","abstract":"Digital twin, as the core technology of intelligent manufacturing, which fully combines numerical models and real-world data, aims to monitor product operation status and predict product life. Therefore, a systematic modeling approach with high fidelity and high timeliness is of great significance for digital twin model. To tackle this challenge, we propose a part-level digital twin modeling approach based on the PLM/PDM theory including a property model, a process model, a simulation model and a feedback model. Such modeling approach can be integrated to digital threading. For each of these four types of models, we investigate their modeling method and provide corresponding algorithm. After these models are built, all of the information is stored in a cloud database through digital threads. The result can be demonstrated via a visualization platform, using digital threads as the interaction channel and the part-level digital twin model as the core. The interaction among customers, designers and processors is enabled through the entire system with a real-time monitoring of the product manufacturing process. Finally, a test case of the hanging axle is implemented to validate the proposed part-level digital twin modeling approach. The result of this case demonstrates that the proposed approach in this work can generate the properties of the hanging axle. Simultaneously, it can monitor the whole life cycle of the hanging axle in real time, which confirms the feasibility of the proposed modeling approach.","url":"https://doi.org/10.2139/ssrn.4278830","authors":["Linbei Jiang","Shaohui Su","Xin Pei","Changyong Chu","Yiming Yuan","Kuan Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-03T22:08:32Z","doi":"10.2139/ssrn.4278830","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003638308-34","name":"Digital Twin Governance for Urban Resilience and Sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003638308-34","authors":["Mahsa Moghadas","Abbas Rajabifard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T14:44:12Z","doi":"10.1201/9781003638308-34","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/ismsit50672.2020.9254288","name":"Digital Transformation Revolution with Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ismsit50672.2020.9254288","authors":["Tolga Erol","Arif Furkan Mendi","Dilara Dogan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-18T05:30:32Z","doi":"10.1109/ismsit50672.2020.9254288","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1049/pbpc071e_conc","name":"Conclusion: the future of digital twins and their transformative impact","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_conc","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_conc","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1016/b978-0-443-28884-5.00015-4","name":"Digital twin technology in smart agriculture: Enhancing productivity and sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-28884-5.00015-4","authors":["R. Hepziba Gnanamalar","Ramesh Kumar Ayyasamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-01T08:07:51Z","doi":"10.1016/b978-0-443-28884-5.00015-4","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.57237/j.cst.2024.04.002","name":"Analysis on Spherical Signal Coverage of Navigation Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.57237/j.cst.2024.04.002","authors":["Qu Chunqing"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-25T11:07:21Z","doi":"10.57237/j.cst.2024.04.002","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.2118/211044-ms","name":"Implementing a Hybrid Digital Twin Approach in a Crude Unit Operation","source":"crossref","abstract":"Abstract Over the past decade, Machine Learning or, more generally, Artificial Intelligence, has made a stelar entry into the O&amp;G world and is today routinely used from exploration all the way up to retail. At the same time, physics-based tools are still being seen as key for value generation and the O&amp;G community is increasingly looking at combining \"traditional\" with \"new\" technologies in what has come to be known as \"hybrid\" tools. In this paper we explain how we Baker Hughes, C3 and KBC are combining Physics and Machine Learning to create Hybrid Digital Twins that help operators improve their margins, reduce their emissions and, in general, position themselves for sustainable growth. Before they are in operation, plants (and oilfields alike) are typically simulated using physics-based tools. In practice, therefore, physics-based simulation models pre-date any plant data. Once plant data starts being produced, however, it becomes clear they do not match exactly the theoretical models that were used before operation. It also becomes clear that plants are operated in a very narrow range, due to quality, production and HSE requirements. In this paper we document a hybrid approach for a digital twin used to generate optimized targets to a Crude Unit operation: synthetic data has been generated to overcome the limitations of available plant data. These synthetic data have then been used as additional training input for ML models, complementing instrumentation data, while at the same time, instrumentation data is used for calibration of the physics-based model. This hybrid approach has been applied to a Crude Unit, in an optimization use case, with remarkable results. The final goal was to make energy optimization targets to operations through its machine learning algorithms which are based on two years of historical data optimized by a rigorous process simulator. The targets are manually downloaded to the unit multivariable controller by the operators. The hybrid approach has been found to combine the benefits of each type of technique: First Principles provides a sound bases for (limited) extrapolation, while Machine Learning ensures the First Principles models remain tuned to the reality of the process and complements the physics in areas where it is insufficient to model the reality (as is the case of equipment performance degradation/failure prediction). The range of what-if studies (and, correspondingly, optimization options) is thus radically extended. This paper shows incremental benefits in optimization cases illustrated by a Crude Unit use case, resulting from the application of a hybrid digital twin using both physics-based and machine-learning models. The hybrid approach allows optimizers to evaluate scenarios beyond the historical operating envelope and opens the door to incorporating equipment condition considerations.","url":"https://doi.org/10.2118/211044-ms","authors":["Sergio Sama Rubio","Toni Giménez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-31T00:35:39Z","doi":"10.2118/211044-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.5194/egusphere-egu23-9262","name":"Compound flood forecasting and climate adaptation Destination Earth digital twin","source":"crossref","abstract":"Coastal deltas are extremely susceptible to flooding from sea, rivers, heavy rain and even more severe combinations thereof. Many coastal deltas are densely populated, and flood risk forms a serious threat that will likely increase in the future. There are two main mechanisms to reduce the devastating impacts of these floods; (1) adaptation to the increasing climate risks and (2) improved early warning and emergency response. We will present the Destination Earth digital twin on coastal compound flood inundation forecasting and climate adaptation.This digital replica of the delta will connect DE data to impact models and will generate user oriented actionable output. High-resolution meteorological forecasts and regular updated climate scenarios form the input for regional coastal and inland models that provide boundary conditions for local models. Local models are used for simulation of small-scale hydrological processes, high-resolution 2D compound flood inundation and impact on population and buildings. &amp;#160;A flexible data post-processing routine, to be co-designed with the end-users, will be implemented to translates model results into actionable context-specific information. It will, for example, produce flood inundation and risk maps as well as other user-requested indicators. For the climate adaptation component, the system will allow users to run WhatIf scenarios to explore adaptation measures. The data products will be disseminated to the users via Web-API, WEB-mapping service or through (S)FTP, depending on the users&amp;#8217; preferences.We will outline and demonstrate our digital twin that serves both flood impact reduction mechanisms, i.e. climate adaptation and forecasting extremes. &amp;#160;We will highlight end users&amp;#8217; needs and requirement that are involved through co-creation/design of the service.&amp;#160;","url":"https://doi.org/10.5194/egusphere-egu23-9262","authors":["Albrecht Weerts","Kun Yan","Frederiek Sperna Weiland"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-25T23:20:45Z","doi":"10.5194/egusphere-egu23-9262","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.15199/22.2025.9.5","name":"Digital twin of Bystřička dam","source":"crossref","abstract":"","url":"https://doi.org/10.15199/22.2025.9.5","authors":["PETR VYMLÁTIL"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-08T07:32:31Z","doi":"10.15199/22.2025.9.5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003686736-3","name":"Methodology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003686736-3","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T14:49:34Z","doi":"10.1201/9781003686736-3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1201/9781003732167-8","name":"Sour Water Stripper","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-8","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-8","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.36227/techrxiv.172114970.03679143/v1","name":"User Digital Twin-Driven Video Streaming for Customized Preferences and Adaptive Transcoding","source":"crossref","abstract":"In the rapidly evolving field of multimedia services, video streaming has become increasingly prevalent, demanding innovative solutions to enhance user experience and system efficiency. This paper introduces a novel approach that integrates user digital twins-a dynamic digital representation of a user's preferences and behaviors-with traditional video streaming systems. We explore the potential of this integration to dynamically adjust video preferences and optimize transcoding processes according to real-time data. The methodology leverages advanced machine learning algorithms to continuously update the user's digital twin, which in turn informs the transcoding service to adapt video parameters for optimal quality and minimal buffering. Experimental results show that our approach not only improves the personalization of content delivery but also significantly enhances the overall efficiency of video streaming services by reducing bandwidth usage and improving video playback quality. The implications of such advancements suggest a shift towards more adaptive, user-centric multimedia services, potentially transforming how video content is consumed and delivered.","url":"https://doi.org/10.36227/techrxiv.172114970.03679143/v1","authors":["Stephen Jimmy","Kalkidan Berhane","Kevin Muhammad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-16T13:08:26Z","doi":"10.36227/techrxiv.172114970.03679143/v1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.21079/11681/47850","name":"AI on digital twin of facility captured by reality scans","source":"crossref","abstract":"The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created by digitalizing data collected through sensors, powered by machine learning (ML) algorithms, and are continuously learning systems. The exponential advance in digital technologies enables facility spaces to be fully and richly modeled in three dimensions and can be brought together in virtual space. Coupled with advancement in reinforcement learning and computer graphics enables AI agents to learn visual navigation and interaction with objects. We have used Habitat AI 2.0 to train an embodied agent in immersive 3D photorealistic environment. The embodied agent interacts with a 3D environment by receiving RGB, depth and semantically segmented views of the environment and taking navigational actions and interacts with the objects in the 3D space. Instead of training the robots in physical world we are training embodied agents in simulated 3D space. While humans are superior at critical thinking, creativity, and managing people, whereas robots are superior at coping with harsh environments and performing highly repetitive work. Training robots in controlled simulated world is faster and can increase their surveillance, reliability, efficiency, and survivability in physical space.","url":"https://doi.org/10.21079/11681/47850","authors":["Indu Shukla","Rajeev Agrawal","Kelly Ervin","Jonathan Boone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-08T20:20:17Z","doi":"10.21079/11681/47850","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.1109/access.2026.3652274","name":"Toward Faster E-Motor Deployment: A Fleet Digital Twin Approach for Predicting Efficiency Under Unseen Load Profiles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3652274","authors":["Muhammad Azeem","Mehmet Güleç","Karel Vanthuyne","Peter Sergeant"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-12T22:02:28Z","doi":"10.1109/access.2026.3652274","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:40.904Z"},{"id":"doi:10.34157/9783648123478-77","name":"2 Der Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.34157/9783648123478-77","authors":["Christian Million"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-10-31T05:41:06Z","doi":"10.34157/9783648123478-77","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.47330/cbc.2023.xdkj0008","name":"Secure Digital Twin Framework Leveraging Blockchain Technology and Event-Sourcing","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2023.xdkj0008","authors":["Xingyu Tao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:40:08Z","doi":"10.47330/cbc.2023.xdkj0008","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2118/229831-ms","name":"Digital Twin: New Back Allocation Algorithm Based on the Maximum Likelihood Principle","source":"crossref","abstract":"Abstract The rapid advancement of digital technologies in the oil and gas sector has led to the development of innovative solutions for optimizing production and enhancing asset management. One such solution is the Digital Twin, a dynamic, real-time digital representation of physical assets. This paper introduces a novel back allocation algorithm for gas and gas condensate fields based on the Maximum Likelihood Estimation (MLE) principle, integrated within the Digital Twin framework. The core thesis of this paper is the application of the MLE principle to the back allocation of fluids to wells and reservoirs, solving this task with the highest possible likelihood. The MLE-based approach allows for precise determination of fluid origins, pinpointing the specific wells and even the intervals within those wells, including the detailed component content. For the MLE algorithm to function correctly, robust fluid characterization is essential. This involves comprehensive compositional grading and the use of Equations of State (EOS) to model fluid properties accurately. Understanding the compositional distribution from the output to the input, along with knowledge of how composition changes with depth and phase behavior at every node in the system, is crucial for achieving accurate back allocation using MLE. Key aspects of the Digital Twin and MLE-based back allocation algorithm include: Accurate Fluid Allocation: Determining the most probable production rates and fluid origins by adjusting parameters such as flow rates, fluid compositions, and equipment dimensions to minimize deviations.Compositional Grading: Utilizing detailed compositional data to understand how fluid properties change with depth, which is vital for accurate modeling and allocation.Equation of State (EOS) Models: Employing EOS models to accurately describe fluid phase behavior under various conditions, providing the necessary data for the MLE algorithm to function effectively. This integration of MLE within the Digital Twin environment enhances the accuracy of production allocation, leading to significant improvements in operational efficiency and economic performance. Case studies from gas and gas condensate fields demonstrate the algorithm's capability to optimize production allocation, reduce operational risks, and enhance overall asset management. This paper will detail the technical aspects of the MLE-based algorithm, the importance of fluid characterization and EOS models, and the resulting benefits in terms of production optimization and economic gains. The findings suggest that adopting this advanced back allocation approach can lead to substantial improvements in field development strategies and operational efficiency.","url":"https://doi.org/10.2118/229831-ms","authors":["R. Ishmuratov","D. Maslennikov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:19:12Z","doi":"10.2118/229831-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.52783/jier.v5i2.2767","name":"Reimagining Construction with Digital Twin Technology","source":"crossref","abstract":"A digital twin is made up of a system or physical item, a virtual model (or digital copy) of that system, and the information and connection that connects them, allowing for real-time data analysis and sharing. Through extensive systematic literature review, a suitable qualitative research questions constructed. The research questions have been addressed through the secondary data survey. A system or physical item, a virtual model (or digital copy) of that system, and the information and connection that connects them, allowing for real-time data analysis and sharing. To create a digital representation of real-world objects and systems, the development of digital twins employs a range of technologies, including cloud computing, artificial intelligence (AI), extended reality (XR), and the Internet of Things (IoT). In addition to difficulties with data quality, availability, and integration, digital twin research faces deficiencies in fundamental mathematics, statistics, and computation. Additionally, more advanced modeling and artificial intelligence techniques are required for dynamic updating and prediction. These topics, such as uncertainty quantification, data-driven and mechanistic model coupling, and interoperability among digital twin models, should be the focus of future study. In this digital era, entrepreneurs are very much interested to know how the asset will behave over an operational period. To understand this concept the entrepreneurs are initially preparing digital models and understanding the operational performance of the digital model. There after entrepreneurs constructing the real time asset and data is allowed to flow either one or bi directional to addressed the challenges if arises, if any. Digital twin simplifies in addressing the issue/problem of real time asset. From the study it is concluded that the digital twin is suitable for asset/s which are critical in running/operating condition under different dynamics and these dynamics, which are beyond human control as well as digital twin is suitable in attending performance failures, easily instead of attending every component through longer inspection time. But, the same/asset failure shall be studied from a digital twin and the same/asset failure performance failure and can be fixed smoothly, easily, less effort and over shorter duration/s. It may result in asset breakdown over shorter duration period.","url":"https://doi.org/10.52783/jier.v5i2.2767","authors":["B.Ravinder"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-23T10:52:31Z","doi":"10.52783/jier.v5i2.2767","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003686736-1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003686736-1","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T14:49:34Z","doi":"10.1201/9781003686736-1","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.4043/30587-ms","name":"Using “Digital Twin” Of Coriolis Meters For Multiphase Flow Measurement","source":"crossref","abstract":"Abstract Multiphase flow meters are often built based on one or many single-phase flow metering technologies. Following the trend, Coriolis meters are being increasingly used in upstream applications in conjunction with an independent water cut meter to measure multiphase flow. Coriolis meters are well-known for fiscal metering applications as they offer unparalleled accuracy without having to input detailed information on the fluid being metered. They offer two distinct measurements: density, and mass flow rate, which is often not possible with other metering technologies. Subsequently, under multiphase flow, the biggest problem with liquid Coriolis meters is their tendency to stall when large amounts of gas flows through them. Many manufacturers over the last 10 years have developed techniques to adjust the drive gain to enhance the ability of these meters to handle increasing amounts of gas. There have also been several developments in using advanced signal processing and machine learning methods to help the meters to self-calibrate and correct for the presence of gas. These methods range from a simple error analysis on certain raw measurements to more sophisticated \"Digital Twin\" based concepts to simulate the behavior of the Coriolis meter internally. The paper describes the concept of \"Digital Twin\" in detail and outlines the reasons for the superiority of such an approach.","url":"https://doi.org/10.4043/30587-ms","authors":["Sakethraman Mahalingam","Muhammad Arsalan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-04-30T21:07:04Z","doi":"10.4043/30587-ms","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1177/19475535261474367","name":"Digital Biobanking in the Era of Artificial Intelligence.","source":"europepmc","abstract":"The terminology \"Biobank\" is used for the organized collection of biological materials consisting of tissue samples, blood, serum, body fluids, and DNA/RNA materials for scientific research. A biobank extracts the information from the biospecimens to generate databases, which are continuously updated. Over the years, there have been significant advances in digital pathology and artificial intelligence (AI). Digital pathology primarily relies on whole-slide imaging and cloud computing. AI, on the contrary, is able to handle vast amount of data and to recognize the patterns of the histopathology images in more meaningful ways. A digital biobank is defined as the integration of the bio-specimens with whole-slide images, molecular data, longitudinal clinical information, and metadata. Digital biobanking can do real-time monitoring of the quality of the biospecimen, rapid retrieval of data, and AI-based research work. It may take a pivotal role in precision medicine by utilizing AI-based models for patient management. This review discusses the evolution from conventional to digital biobanking and emphasizes AI-based quality control, multimodal data integration, and predictive analysis in oncology. In addition, virtual biobanks, hybrid physical-virtual models, and digital twins are also discussed. The article also discusses the key challenges related to the implementation of digital biobanking, including standardization, interoperability, and sustainability.","url":"https://doi.org/10.1177/19475535261474367","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/19475535261474367","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fcvm.2026.1812347","name":"Patient-specific digital twins in aortic disease: integrating computational hemodynamics, immune profiling, and precision endovascular strategy.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fcvm.2026.1812347","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fcvm.2026.1812347","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26103238","name":"An Intelligent IoT-Based Predictive Control System for Water Quality and Energy Management in Koi Aquaculture.","source":"europepmc","abstract":"Reducing energy consumption while maintaining stable water quality remains a major challenge in ornamental aquaculture. This study proposes an integrated predictive and energy-aware aquaculture management framework combining Internet of Things (IoT) sensing, Long Short-Term Memory (LSTM)-based prediction, Digital Twin (DT) simulation, and Cyber-Physical System (CPS) control. Real-time sensor networks monitored dissolved oxygen (DO), ammonia (NH 3 ), temperature, pH, turbidity, and energy consumption in a koi pond over a 45-day deployment period. Forecasted environmental states generated by the LSTM model were validated through a physics-informed Digital Twin prior to actuator execution to improve operational reliability and control safety. Experimental results demonstrated strong agreement between the Digital Twin and observed pond dynamics, achieving R 2 values of 0.97 for dissolved oxygen and 0.94 for ammonia. Compared with conventional manual operation, the proposed smart predictive control mode reduced total energy consumption by 26.86%. Statistical analysis confirmed that the reduction was highly significant ( p < 0.001), with average daily energy consumption decreasing from 212 ± 6.06 Wh/day under manual operation to 154.71 ± 4.52 Wh/day under smart predictive control.","url":"https://doi.org/10.3390/s26103238","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26103238","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s26134258","name":"Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134258","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26134258","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.biopsych.2026.06.023","name":"Neuroimaging of Heterogeneity in Neuropsychiatric Disorders: Toward Disease Progression Modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.biopsych.2026.06.023","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.biopsych.2026.06.023","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26154697","name":"Health Monitoring of Offshore Wind Structures: Sensing Technology, Uncertainty, and Artificial Intelligence.","source":"europepmc","abstract":"Offshore wind farms are rapidly expanding into deeper and more remote ocean regions. Their structural safety and operational reliability in harsh marine environments have garnered widespread global attention. Sensing technologies capture structural and environmental conditions and are indispensable to structural monitoring. Accordingly, this review examines the applications of environmental monitoring, supervisory control and data acquisition, condition monitoring, and structural health monitoring systems covering both the horizontal-axis and vertical-axis types of fixed and floating offshore wind turbines. It also summarizes key technologies for data transmission and optimal sensor placement. However, uncertainty in sensing data can significantly affect monitoring results, yet existing studies lack an adequate summary and in-depth discussion. We therefore focus on sources of sensing uncertainty, including the marine environment, the host platform, variations in environmental and operational conditions, and sparse sensing. By analyzing their effects on monitoring data, we explore key methods for overcoming data uncertainties and improving sensing accuracy. This paper also evaluates the application potential of cutting-edge artificial intelligence and digital twin technologies. Furthermore, the study points out that fusing multi-source signal data to establish a highly reliable intelligent decision-making and early warning framework is likely to become an important development direction for offshore wind power monitoring. This review aims to provide valuable support for the safe development of offshore wind farms towards deep-sea regions over the coming decades.","url":"https://doi.org/10.3390/s26154697","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26154697","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.critrevonc.2026.105488","name":"Reframing response in neoadjuvant chemotherapy for ovarian cancer: Integrating molecular and functional biomarkers.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.critrevonc.2026.105488","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.critrevonc.2026.105488","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/frobt.2026.1850311","name":"Editorial: AI for design and control of advanced robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1850311","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1850311","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26123778","name":"A Resilient Cloud-Edge Digital Twin Framework for Urban UAV Logistics Under 3D Blockages and ADS-B Signal Anomalies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123778","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123778","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26113431","name":"A 3D Indoor Modelling Method Using 360° Panoramic Images and Its Application to CCTV Camera Placement Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113431","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113431","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.2196/92721","name":"Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/92721","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/92721","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.watres.2026.126762","name":"Engineering-practice-oriented digital twins for smart water management: Framework, enabling technologies, and future directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.watres.2026.126762","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.watres.2026.126762","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1039/d5cs01399b","name":"Rational design of high-loading electrocatalytic electrodes: from static multiscale integration to dynamic intelligent systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1039/d5cs01399b","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1039/d5cs01399b","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26123959","name":"UAV and Deep Learning for Building Façade Defect Detection: A Comprehensive Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123959","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123959","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/ijms27167462","name":"From Joint Loading to Osteoarthritis: A Multiscale Review of Knee Mechanobiology and Digital Modelling.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijms27167462","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ijms27167462","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1093/ajrccm/aamag082","name":"Digital twins for cardiopulmonary medicine: the case for pulmonary arterial hypertension.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/ajrccm/aamag082","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/ajrccm/aamag082","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/clinpract16060101","name":"Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney Care.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/clinpract16060101","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/clinpract16060101","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/healthcare14162445","name":"Healthcare Digital Twins Across Scales: A Narrative Review and Five-Level Conceptual Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/healthcare14162445","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/healthcare14162445","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26092764","name":"Ontology-Driven and Human-Centric Digital Twins in Hospitality: A Survey and Research Agenda.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092764","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26092764","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3389/fonc.2026.1835062","name":"A review on in-silico analysis of immune cell trafficking and interactions with the tumour microenvironment.","source":"europepmc","abstract":"The tumour microenvironment (TME) contains a diverse mix of cells and components, including cancer cells, immune cells, connective tissue, and biochemical factors; all of these are constantly interacting as well as influencing both the progression and spread of cancer and the ability of the immune system to recognise and respond to it. Accumulating evidence indicates that immune cell trafficking in TMEs is a major factor in determining whether tumours are destroyed by immune defences or evade immune surveillance. However, advances in experimental techniques do not provide a complete picture of how immune-tumour cell interactions occur with respect to their spatial, temporal, and molecular characteristics. This review examines existing in silico tools for evaluating how immune cells migrate, communicate, and function in the TME. The components that affect how immune cells infiltrate tumours will be summarized (i.e., chemotactic gradients, adhesion molecules, extracellular matrix remodelling, hypoxia, and metabolic reprogramming), and their role in immune exclusion and the development of immune escape will be emphasized. Computational modelling techniques (e.g., agent-based models, ordinary and partial differential equation models, systems biology models, network biology models, and machine learning prediction models) enable multiscale simulation of immune dynamics. This capability helps further our understanding of how tumours escape immune surveillance and develop into malignancies. The use of bioinformatics databases and major bioinformatics resources such as TCGA, TIMER, TCIA, etc., that may assist in understanding the composition of the immune system and immunogenomics of tumours is assessed. To demonstrate the predictive ability of computational models to establish patterns of immune cell traffic and predict the efficacy of immunotherapy, we examine specific in silico analyses of distinct immune cell populations, such as Tumour-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs). Furthermore, integrating multi-omics and spatial transcriptomic datasets enables personalised modelling of potential responses to immune checkpoint therapy. Despite these advantages, precision immunotherapy faces many challenges, including data heterogeneity, model validation, and translation limitations, as well as future perspectives on precision immunotherapy using digital twin technology. Overall, the findings from this review support the increasing relevance of bioinformatics and computational science in understanding immune-TME interactions and developing novel cancer immunotherapies.","url":"https://doi.org/10.3389/fonc.2026.1835062","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fonc.2026.1835062","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s44222-026-00427-5","name":"Digital twins and digital models of the human circulatory system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44222-026-00427-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44222-026-00427-5","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1113/jp290152","name":"The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1113/jp290152","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1113/jp290152","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1186/s11671-026-04857-3","name":"Toward therapnostic integration as a new paradigm for precision management of interstitial cystitis driven by medical-engineering convergence.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s11671-026-04857-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s11671-026-04857-3","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1007/s00120-026-02827-2","name":"[Digital twins in uro-oncology].","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00120-026-02827-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00120-026-02827-2","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1017/thg.2026.10051","name":"Monozygotic Twins of Different Religions: Causes and Consequences/Twin Research Reviews: Language Development in Dizygotic Twins; MZ Twins with Hallermann-Streiff Syndrome; Digital Twins and Asthma Research; Zygosity Revealed/Human Interest: A Pen Turned Holocaust Children Into Twins; Identical Twin &lt;i&gt;Jeopardy&lt;/i&gt; Winners; Twin Hostages Freed From Gaza; Loss of a Twin Son; Fraternal Twin Mountaineers; Twins in the Sydney to Hobart Yacht Race; Twin Patron Saints of Cobblers.","source":"europepmc","abstract":"Abstract Monozyotic (MZ) twins reared together are typically raised in the same religion, as are all children in a family. However, a young pair of MZ male twins, raised together, but with different religions, was identified and raises interesting issues that warrant consideration. This case, as well as those of reared-apart MZ twins who adopt different religions due to their family background or other circumstances, are summarized. A review of recent and current twin research follows. The studies included here concern language development in a pair of dizygotic (DZ) female twins, the second case of MZ twins with presumed Hallermann-Streiff syndrome, and the use of digital twins to advance asthma research. The final entry in the research section describes parents’ responses to their twin children’s misdiagnosed zygosity. Human interest stories involving twins — some entertaining, but all informative — include a pen that saved nontwin Holocaust children by assigning them as twins, identical twin Jeopardy winners, twin hostages freed from Gaza, loss of a twin son, fraternal twin mountaineers, twin sailors in the Sydney to Hobart Yacht Race, and the twin Patron Saints of Cobblers.","url":"https://doi.org/10.1017/thg.2026.10051","authors":["Nancy L. Segal","Nancy Segal"],"tags":["Zygosity","Twin study","Dizygotic twins","Monozygotic twin","Identical twins"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1017/thg.2026.10051","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26154968","name":"Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154968","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26154968","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.isci.2026.116422","name":"AI-driven technological breakthroughs and practical pathways for biodiversity conservation and ecological management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.116422","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.isci.2026.116422","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1111/all.70468","name":"Targeting Airway Remodeling in Severe Asthma: Is There a Window of Opportunity for Biologic Therapy Predicting Effects Using Causal Artificial Intelligence?","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/all.70468","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1111/all.70468","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3340/jkns.2026.0060","name":"Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3340/jkns.2026.0060","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3340/jkns.2026.0060","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/foods15122118","name":"Modelling Relationships Between Extrusion Conditions and Quality Attributes of Expanded Snacks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/foods15122118","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/foods15122118","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1002/gch2.70139","name":"Hydrogen-Based Long-Duration Energy Storage: Technologies, System Integration, and Techno-Economic Performance.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/gch2.70139","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/gch2.70139","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1055/a-2856-4955","name":"[Digital Twins in Surgery].","source":"europepmc","abstract":"","url":"https://doi.org/10.1055/a-2856-4955","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1055/a-2856-4955","addedAt":"2026-09-01T01:47:40.904Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/jcdd13030122","name":"Twin Transformation in Cardiothoracic Surgery: The Convergence of Digital Innovation and Sustainability.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcdd13030122","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/jcdd13030122","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3389/fdgth.2026.1753906","name":"Multi-scale digital twins for personalized medicine.","source":"europepmc","abstract":"The future of personalized medicine requires moving beyond isolated data streams toward integrated, multi-scale representations of human health. Digital twins (DTs) have emerged as promising solutions, offering dynamic, individualized simulations of biological systems. However, current implementations often rely on narrow data sources, limiting predictive power, adaptability, and clinical utility. The next generation of digital twins must integrate molecular, cellular, tissue, organ, clinical, behavioral, and environmental data to accurately model health trajectories and disease evolution. This review synthesizes the conceptual foundations, technical architectures, clinical applications, and ethical challenges associated with multi-scale digital twins (MSDTs). Key enabling technologies include multimodal data fusion, graph neural networks, causal inference frameworks, reinforcement learning, and hybrid mechanistic-AI modeling approaches. Clinical applications can illustrate the potential of MSDTs to personalize interventions dynamically. Significant barriers persist regarding data integration, ethical governance, bias mitigation, and regulatory adaptation.","url":"https://doi.org/10.3389/fdgth.2026.1753906","authors":["Alexandre Vallée"],"tags":["Personalized medicine","Computer science","Data science","Digital health","Causal inference"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fdgth.2026.1753906","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1097/js9.0000000000004921","name":"Digital twin-assisted surgery: technological architecture, integration across surgical phases, implementation challenges and future directions.","source":"europepmc","abstract":"Digital twin-assisted surgery referred to the use of a dynamic, patient specific virtual model that mirrored physical patient in real time to enhance surgical planning, guidance, and outcomes. This emerging approach integrated data from robotic manipulators, intelligent implants, biosensors, and imaging systems to create a continuously updated digital representation that responded to physiological and procedural changes. This review provided a comprehensive analysis of the conceptual foundations and technological architecture that enabled digital twin functionality in surgical environments along with associated implementation challenges. It further explored real-world integration of digital twins across preoperative, intraoperative, and postoperative phases, highlighting their role in predictive modeling, real-time decision support, and personalized surgical recovery. Moreover, this review critically evaluated key implementation challenges, including technical hurdles (data interoperability, sensor accuracy, real-time processing), practical barriers (economic costs, infrastructure, and training), and broader concerns (regulatory standards, ethics, and global equity). To address these challenges, the review proposes targeted future directions including leveraging AI and edge computing to overcome technical hurdles like real-time processing, developing secure, standardized data frameworks to ensure interoperability and meet regulatory standards and, moreover, fostering public–private partnerships to solve economic, infrastructural, and training barriers while promoting global equity. As the field evolved, digital twin-assisted surgery is poised to become a cornerstone of precision surgical care.","url":"https://doi.org/10.1097/js9.0000000000004921","authors":["Zahra Batool","Qihang Wu","Jiakun Li","Guobin Weng","Bairong Shen"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1097/js9.0000000000004921","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/ma19163370","name":"Thermo-Mechanical Deformation, Jamming Risk and Life Management of Main Steam Valves in Ultra-Supercritical Steam Turbines: A Short Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19163370","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19163370","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41429-026-00951-x","name":"Reimagining antimicrobial resistance: AI-driven predictive epidemiology and the C-AMRE framework for next-generation antibiotic discovery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41429-026-00951-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41429-026-00951-x","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.synbio.2026.07.002","name":"Toward engineered microbial chassis for growth-production balancing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.synbio.2026.07.002","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2027","doi":"10.1016/j.synbio.2026.07.002","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.2196/78499","name":"Technologies, Clinical Applications, and Implementation Barriers of Digital Twins in Precision Cardiology: Systematic Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/78499","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/78499","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/pharmaceutics18081026","name":"Artificial Intelligence-Based Optimization of Pulmonary Drug Delivery Performance in Smart Inhaler Drug-Device Combination Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/pharmaceutics18081026","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/pharmaceutics18081026","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.watres.2026.125948","name":"Advancing twin transition in wastewater management for nitrogen cycle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.watres.2026.125948","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.watres.2026.125948","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fresc.2026.1906327","name":"Perception, assessment, and coaching: a systematic review and taxonomy of computer vision-based physical rehabilitation techniques.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fresc.2026.1906327","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fresc.2026.1906327","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.2106/jbjs.oa.25.00315","name":"Assessing Surgical Skill in Orthopaedic Trauma Surgery Training: Behavioral Metrics for Digital Performance Evaluation.","source":"europepmc","abstract":"","url":"https://doi.org/10.2106/jbjs.oa.25.00315","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2106/jbjs.oa.25.00315","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fpls.2026.1804394","name":"Correction: A digital twin-driven deep learning framework for online quality inspection in tobacco transplanting.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1804394","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1804394","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1371/journal.pone.0344991","name":"International Delphi consensus on acute kidney injury: Foundations for AI-driven digital twin development in critical care nephrology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0344991","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0344991","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1111/jre.70139","name":"Digital Implant Dentistry: The Past, the Present, the Future.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/jre.70139","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1111/jre.70139","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1093/joneph/aajag032","name":"From challenge to innovation: a narrative review on innovation in nephrology and hemodialysis randomized trials.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/joneph/aajag032","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/joneph/aajag032","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3389/fcvm.2026.1735094","name":"From polygenic risk to digital twins: the future of personalised cardiovascular medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fcvm.2026.1735094","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fcvm.2026.1735094","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.marpolbul.2026.120155","name":"CFD-based approaches for low-carbon shipping: A systematic review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.marpolbul.2026.120155","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.marpolbul.2026.120155","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/ma19132737","name":"Intelligent Forging Driven by Mechanism-Data-Knowledge Fusion: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19132737","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19132737","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41746-026-02656-9","name":"Digital Twin models to address long-term treatment toxicities in children and young adults with cancer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-026-02656-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41746-026-02656-9","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41598-026-38720-3","name":"A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction.","source":"europepmc","abstract":"This research presents an AI-enabled digital twin framework to achieve carbon neutrality in smart grids through optimal management of heterogeneous energy storage systems. The proposed structure integrates battery, thermal, and hydrogen storage technologies with AI-driven forecasting models to address the challenge of renewable integration, while maintaining grid stability and economic viability. This paper presents a comparative analysis of three distinct optimization methodologies, like a rule-based (RB) heuristic approach, Model Predictive Control (MPC) with look-ahead capability, and a multi-objective Genetic Algorithm (GA). Simulation results that demonstrate the AI-optimized multi-energy storage (MES) integration significantly enhance the renewable utilization and reduce carbon emissions by approximately 30% compared to conventional approaches. Specifically, the MPC achieves a 29.9% reduction in carbon footprint (1741.1 kgCO₂ vs. 2485.2 kgCO₂ baseline) with corresponding operational cost savings of 30%, while GA shows a comparable 28.2% improvement. The comparative analysis discloses a critical trade-off between computational complexity, optimization performance, and practical implementability, with MPC emerging as a balanced method for a real-world application. This work has contributed to sustainable energy systems by providing a comprehensive framework for MES optimization, imparting treasured insights for grid operators and policymakers. The outcomes highlight the important role of AI-enabled digital twin in designing next-generation smart grid infrastructure, which is capable for supporting excessive renewable penetration at the same time as ensuring reliability and sustainable economic growth.","url":"https://doi.org/10.1038/s41598-026-38720-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-38720-3","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41698-026-01513-y","name":"Comprehensive overview of AI methodologies in nano-drug delivery Optimization and Design.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41698-026-01513-y","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41698-026-01513-y","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1038/s41377-026-02410-6","name":"From intravascular imaging to adaptive vascular care: intelligent photonics and digital twins in panvascular disease.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41377-026-02410-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41377-026-02410-6","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1016/j.tplants.2026.06.005","name":"Digital twins for plant and crop improvement.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.tplants.2026.06.005","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.tplants.2026.06.005","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.1002/adma.74491","name":"Data-Driven Materials Science for Energy-Sustainable Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/adma.74491","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/adma.74491","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.copbio.2026.103541","name":"Advancing in vitro gut fermentation: the convergence of gut-on-a-chip and digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.copbio.2026.103541","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.copbio.2026.103541","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/gels12060483","name":"Digital Twin-Driven Optimization of Pilot-Scale Polyurethane Aerogel Production Using SVR Modelling.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/gels12060483","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/gels12060483","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/s26092821","name":"Extended Field of View and Resolution Enhancement in Lensless Digital Holography.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092821","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26092821","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.3390/s26082545","name":"Experimental Characterization and Non-Linear Dynamic Modelling of PCD Bearings: A Digital-Twin Approach for the Condition Monitoring of Rotating Machinery.","source":"europepmc","abstract":"This study proposes a comprehensive methodology for the experimental characterization and non-linear dynamic modelling of Polycrystalline Diamond (PCD) bearings, establishing a high-fidelity digital twin approach for the condition monitoring of rotating machinery. The research addresses complex rotor-stator interactions through the development of a multibody numerical framework. A structural 1D Finite Element (FE) model of the stator assembly was first calibrated via experimental modal analysis, achieving a high correlation with the first four bending modes and a maximum frequency discrepancy of only 1.4%. This validated structure was integrated into a non-linear multibody environment to simulate transient rub-impact events at rotational speeds up to 5500 rpm across varying clearance configurations. The model successfully captures the transition from stable periodic orbital motion to the stochastic and chaotic regimes observed in high-clearance setups. Frequency-domain validation further confirms the model's accuracy in identifying supersynchronous harmonics and energy distribution patterns. Quantitative analysis shows that high-clearance configurations generate impact forces exceeding 6000 N, providing critical data for structural health assessment. These results demonstrate that the proposed digital twin serves as a robust physical foundation for diagnostic systems, enabling the identification of contact-induced vibrational signatures that are essential for training prognostic algorithms. This approach facilitates the autonomous monitoring of critical rotating machinery in demanding industrial and subsea applications, supporting the transition toward active balancing and model-based vibration control strategies.","url":"https://doi.org/10.3390/s26082545","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26082545","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20350/digitalcsic/16081","name":"Metadata information about Digital Twin components in DT-GEO","source":"datacite","abstract":"Metadata containing the description of the digital assets that compose the Digital Twin components developed as part of DT-GEO project. The DT-GEO metadata schema extends the EPOS-DCAT-AP version 3 [1] in order to meet the requirements from both the DT-GEO communities and the underlying computing infrastructure. The collection of documents are organised according to the specific Digital Twin component, including one document per type of digital asset (i.e. dataset and software-service products) and an additional document with the review report that summarises the revision of the metadata provided. https://epos-eu.github.io/EPOS-DCAT-AP/v3","url":"https://doi.org/10.20350/digitalcsic/16081","authors":["Jeffery, Keith","Orviz, Pablo","Passmore, James","Arce, David","Bernardo, Samuel","Vinciarelli, Valerio","DT-GEO"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20350/digitalcsic/16081","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.7400477","name":"SocketSense Open Access Data","source":"datacite","abstract":"This is the summary of SocketSense's open access data. SocketSense (https://www.socketsense.eu/) is a EU funded project aimed to develop an innovative advanced sensor-based socket system that will enable comfortable socket manufacturing tailored to patients needs. The cutting-edge technology will use real-time monitoring of residual limb tissues evolvement by collecting data through advanced embedded sensors. The end product will be designed through biomechanical modelling and CAD/CAM tools and finally coming to life via additive manufacturing.With SocketSense, the prosthetists will be able to achieve a good-fit socket within the same day when the patient needs a new one, and the technique will apply to all lower limb amputees (above knee and below knee). Publications list 1. Wearable pressure sensing for lower limb amputees. 2. Fuzzy-logic Inference System for Transfemoral Socket Rectification. 3. Biomechanical response of residual limb: combining shear-wave elastography and finite element analysis. 4. Ultrasound investigation of muscle size and muscle properties in transfemoral amputees. 5. Evaluation of Time Series Clustering on Embedded Sensor Platform. 6. A scoping review of pressure measurements in prosthetic sockets of transfemoral amputees during ambulation: key considerations for sensor design. 7. Development of Prototype Low Cost QTSS™ Wearable Flexible more Envirofriendly Pressure, Shear and Friction sensors for dynamic Prosthetic Fit Monitoring. 8. A Sensor-based Decision Support System for Transfemoral Socket Rectification. 9. A Mechatronics-Twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees. 10. Redundancy Reduction for Sensor Deployment in Prosthetic Socket: A Case Study. 11. Simultaneous intra-socket shear and pressure measurements of a transfemoral amputee during dynamic and static activities: a feasibility study. 12. A toolbox for bi-directional conversions between 3D prosthetic socket stress measurements and its representations in 2D. 13. Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with A Mechatronics-Twin Framework. 14. Master Thesis: Wearable sensors in prosthetic socket. 15. Master Thesis: Effective Optimization of Deployment for Wearable Sensors in Transfemoral Prosthesis. Datasets list 1. RISE_DS01_Development of Prototype Low-Cost QTSS™ Wearable Flexible More Enviro-Friendly Pressure, Shear, and Friction Sensors for Dynamic Prosthetic Fit Monitoring DOI: 10.5281/zenodo.7400478 (This summary repository)Repository link: https://www.mdpi.com/1424-8220/21/11/3764 D.O.I linked Publication: https://www.mdpi.com/1424-8220/21/11/37642. RISE_DS02_Whitepaper on sensorsDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdfD.O.I linked Publication: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdf3. SAS_DS01_Sensor measurementsDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo4. SAS_DS02_Scales outcomesDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo5. SAS_DS03_Ultrasound and elastographyDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo6. Össur_DS01_PilotStudySocketSense Össur DS01 Pilot StudyDOI: 10.5281/zenodo.7624740Repository link: https://zenodo.org/record/7624740#.Y-UeuHbP1jE7. Össur_DS01_PilotStudy_Shear+PressureSocketSense Össur DS01 Pilot Study Shear & PressureDOI: 10.5281/zenodo.7624975Repository link: https://zenodo.org/record/7624975#.Y-UvknbP1jE8. Össur_DS02_2DResidualLimbMapsS","url":"https://doi.org/10.5281/zenodo.7400477","authors":["SocketSense"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7400477","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.7400478","name":"SocketSense Open Access Data","source":"datacite","abstract":"This is the summary of SocketSense's open access data. SocketSense (https://www.socketsense.eu/) is a EU funded project aimed to develop an innovative advanced sensor-based socket system that will enable comfortable socket manufacturing tailored to patients needs. The cutting-edge technology will use real-time monitoring of residual limb tissues evolvement by collecting data through advanced embedded sensors. The end product will be designed through biomechanical modelling and CAD/CAM tools and finally coming to life via additive manufacturing.With SocketSense, the prosthetists will be able to achieve a good-fit socket within the same day when the patient needs a new one, and the technique will apply to all lower limb amputees (above knee and below knee). Publications list 1. Wearable pressure sensing for lower limb amputees. 2. Fuzzy-logic Inference System for Transfemoral Socket Rectification. 3. Biomechanical response of residual limb: combining shear-wave elastography and finite element analysis. 4. Ultrasound investigation of muscle size and muscle properties in transfemoral amputees. 5. Evaluation of Time Series Clustering on Embedded Sensor Platform. 6. A scoping review of pressure measurements in prosthetic sockets of transfemoral amputees during ambulation: key considerations for sensor design. 7. Development of Prototype Low Cost QTSS™ Wearable Flexible more Envirofriendly Pressure, Shear and Friction sensors for dynamic Prosthetic Fit Monitoring. 8. A Sensor-based Decision Support System for Transfemoral Socket Rectification. 9. A Mechatronics-Twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees. 10. Redundancy Reduction for Sensor Deployment in Prosthetic Socket: A Case Study. 11. Simultaneous intra-socket shear and pressure measurements of a transfemoral amputee during dynamic and static activities: a feasibility study. 12. A toolbox for bi-directional conversions between 3D prosthetic socket stress measurements and its representations in 2D. 13. Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with A Mechatronics-Twin Framework. 14. Master Thesis: Wearable sensors in prosthetic socket. 15. Master Thesis: Effective Optimization of Deployment for Wearable Sensors in Transfemoral Prosthesis. Datasets list 1. RISE_DS01_Development of Prototype Low-Cost QTSS™ Wearable Flexible More Enviro-Friendly Pressure, Shear, and Friction Sensors for Dynamic Prosthetic Fit Monitoring DOI: 10.5281/zenodo.7400478 (This summary repository)Repository link: https://www.mdpi.com/1424-8220/21/11/3764 D.O.I linked Publication: https://www.mdpi.com/1424-8220/21/11/37642. RISE_DS02_Whitepaper on sensorsDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdfD.O.I linked Publication: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdf3. SAS_DS01_Sensor measurementsDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo4. SAS_DS02_Scales outcomesDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo5. SAS_DS03_Ultrasound and elastographyDOI: 10.5281/zenodo.7400478 (This summary repository)Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo6. Össur_DS01_PilotStudySocketSense Össur DS01 Pilot StudyDOI: 10.5281/zenodo.7624740Repository link: https://zenodo.org/record/7624740#.Y-UeuHbP1jE7. Össur_DS01_PilotStudy_Shear+PressureSocketSense Össur DS01 Pilot Study Shear & PressureDOI: 10.5281/zenodo.7624975Repository link: https://zenodo.org/record/7624975#.Y-UvknbP1jE8. Össur_DS02_2DResidualLimbMapsS","url":"https://doi.org/10.5281/zenodo.7400478","authors":["SocketSense"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7400478","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13843004","name":"odtp-org/ODTWS: ODTWS 1.0.0","source":"datacite","abstract":"First release of ODTWS (Open Digital Twin Workflow Standard) Standard was transferred from a Word Document into respec.org format hypothes.is overlay installed for review","url":"https://doi.org/10.5281/zenodo.13843004","authors":["Grübel, Jascha","Maennel, Sabine","Balać, Miloš","Riba-Grognuz, Oksana"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13843004","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13843003","name":"odtp-org/ODTWS: ODTWS 1.0.0","source":"datacite","abstract":"First release of ODTWS (Open Digital Twin Workflow Standard) Standard was transferred from a Word Document into respec.org format hypothes.is overlay installed for review","url":"https://doi.org/10.5281/zenodo.13843003","authors":["Grübel, Jascha","Maennel, Sabine","Balać, Miloš","Riba-Grognuz, Oksana"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13843003","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13852440","name":"The development of a field service management information system to help companies manage field workers: proposed prototype","source":"datacite","abstract":"This paper is Systematic Literature Review using Barbara Kitchenham methods to collect the research gap to develop FSM apps as proposed prototype We provided .ris file after conducted 3 stage of Barbara Kitchenham methods on attached","url":"https://doi.org/10.5281/zenodo.13852440","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13852440","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13852441","name":"The development of a field service management information system to help companies manage field workers: proposed prototype","source":"datacite","abstract":"This paper is Systematic Literature Review using Barbara Kitchenham methods to collect the research gap to develop FSM apps as proposed prototype We provided .ris file after conducted 3 stage of Barbara Kitchenham methods on attached","url":"https://doi.org/10.5281/zenodo.13852441","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13852441","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.6092/issn.2724-2463/20029","name":"The Dark Zone. Philosophy of the Metaverse. The Cultural Logic of the Algorithmic Society","source":"datacite","abstract":"The concept of the Metaverse, originating from Neal Stephenson’s 1992 novel Snow Crash, has transitioned from a speculative fiction idea into a complex cultural and technological reality. This paper explores the evolution of the Metaverse as both a digital twin of the physical world and a new ‘cultural logic’ permeating various sectors such as gaming, education, and commerce. By integrating immersive technologies such as virtual reality, the Metaverse offers a blended “phygital” environment where users engage in activities ranging from social interactions to commercial transactions, seamlessly merging physical and digital realities. This study delves into how foremost technology leaders have influenced the Metaverse’s trajectory, focusing on transforming it from a gaming interface to a broad digital ecosystem. We analyze the role of blockchain technology in facilitating a network of interconnected spaces that allow for the preservation of digital identities and assets across platforms, highlighting the challenges and potential of achieving interoperability. Ultimately, this paper presents the Metaverse as a paradigm shift in digital interaction, suggesting future directions where digital and physical realities might further converge. Through a comprehensive review of technological advancements and cultural shifts, we discuss the implications of this convergence for future digital interaction frameworks and societal norms.","url":"https://doi.org/10.6092/issn.2724-2463/20029","authors":["Arcagni, Simone"],"tags":["Metaverse","Immersive Technologies","Cultural Logic","Interoperability","Blockchain Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6092/issn.2724-2463/20029","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13800557","name":"Workflow for Urban Digital Twin development based on Systematic Literature Review Results","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.13800557","authors":["Kubo, Victor","Noronha, Marcela"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13800557","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13786362","name":"Workflow for Urban Digital Twin development based on Systematic Literature Review Results","source":"datacite","abstract":"Workflow for Urban Digital Twin development based on Systematic Literature Review Results","url":"https://doi.org/10.5281/zenodo.13786362","authors":["Kubo, Victor","Noronha, Marcela"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13786362","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13786363","name":"Workflow for Urban Digital Twin development based on Systematic Literature Review Results","source":"datacite","abstract":"Workflow for Urban Digital Twin development based on Systematic Literature Review Results","url":"https://doi.org/10.5281/zenodo.13786363","authors":["Kubo, Victor","Noronha, Marcela"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13786363","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13173971","name":"Webinars - HSI Awardee Grantsmanship","source":"datacite","abstract":"The HSI National STEM Resource Hub is preserving its website and compiled resources for future use and reference. This entry consists of the following webinars. Webinar Summer Grantsmanship Resources. Webinar Link: https://youtu.be/YwW-lbUA4xw Dr. Ellen Carpenter, HSI Program Director at the NSF, discusses the NSF solicitation for the HSI Program. Dr. Carpenter discusses important elements to include in your submission. She also shares strategies for successfully submitting your proposal including various elements of FastLane and Grants.gov. The Q&A session has been omitted from the recording. You can find the link to the transcript below. The HSI STEM Hub recommends viewing this webinar to help you in preparation of your proposal. Insights from Recent HSI Awardees – May 19, 2020 Webinar Link: https://youtu.be/YhcZ0FvvuiE Recent NSF HSI Program Awardees, Antonio Garcia and Matthew Cover, discuss strategies for writing a successful proposal for submission to the NSF HSI Program. Drs. Garcia and Cover address topics such as fundable ideas, budget, collaborations, intellectual merit, broader impact, reviewers, and the types of funded projects they engage at their institutions. The NSF HSI STEM Hub recommends viewing this training video before writing your proposal and while reviewing important parts of your proposal during the writing phase, before submission. Matt Cover is an educator and freshwater ecologist at Cal State Stanislaus, a regional comprehensive university in California’s San Joaquin Valley. He is the PI of an HSI STEM grant (NSF #1832558, awarded August 2018) that funds a faculty learning program for STEM educators called CIENCIA: Collaboration for Inclusive and Engaging Curriculum, Instruction, and Achievement. He is passionate about making STEM education more humane, student-centered, creative, and fun; making graduate study more accessible, especially for minoritized students; and bringing a social justice lens to STEM research and education. He gets joy from exploring creeks and looking for bugs and birds, walking and hiking with his partner and dog, and enjoying coffee, beer, and music. Website: http://www.matthewrcover.com/ Antonio (“Tony”) García was recently appointed as Associate Dean of Academics for the College of Engineering at New Mexico State University, and brings more than 34 years of experience in academia and industry. He also holds the position of George W. Lucky Professor in Chemical Engineering due to his expertise in bioprocessing and biomedical devices. As a designer, inventor and researcher, he has developed several diagnostic and drug delivery technologies in conjunction with an international team whose mission is to promote the use of personalized care technology to improve global health. Dr. García is also actively involved in education and human resource projects aimed at improving math, science, and engineering education and to meet the demand for a robust technological workforce as the nation’s demographics changes. He was Associate Editor of the Journal of Research in Science Teaching 2003-2005 and was the project director of a National Science Foundation program (LSAMP) project, established in 1992, to enhance opportunities for undergraduate and graduate students in science, math and engineering. After moving to Las Cruces in August 2019, he led a team of NMSU faculty to recently secure a NSF HSI grant (which began in April 2020) on Innovative Partnerships with Industry with the theme of: Enhancing Social Mobility by Combing Adult Learning within an Engineering Curriculum. Framing Student Success – May 26, 2020 Webinar Link: https://youtu.be/_aPkJTWP2yc The Dr. Alexis Racelis, University of Texas Rio Grande Valley, lab studies ecological interactions in the social, political, and economic contexts in which they occur. In particular, our research is driven by a better understanding of how agriculture, urban development, invasive species and resource management affects certain ecologic","url":"https://doi.org/10.5281/zenodo.13173971","authors":["HSI National STEM Resource Hub","Serrano, Elba","Morales, Gabriela","Peterman, Jarod","Pallarez, Jessica"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13173971","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13173970","name":"Webinars - HSI Awardee Grantsmanship","source":"datacite","abstract":"The HSI National STEM Resource Hub is preserving its website and compiled resources for future use and reference. This entry consists of the following webinars. Webinar Summer Grantsmanship Resources. Webinar Link: https://youtu.be/YwW-lbUA4xw Dr. Ellen Carpenter, HSI Program Director at the NSF, discusses the NSF solicitation for the HSI Program. Dr. Carpenter discusses important elements to include in your submission. She also shares strategies for successfully submitting your proposal including various elements of FastLane and Grants.gov. The Q&A session has been omitted from the recording. You can find the link to the transcript below. The HSI STEM Hub recommends viewing this webinar to help you in preparation of your proposal. Insights from Recent HSI Awardees – May 19, 2020 Webinar Link: https://youtu.be/YhcZ0FvvuiE Recent NSF HSI Program Awardees, Antonio Garcia and Matthew Cover, discuss strategies for writing a successful proposal for submission to the NSF HSI Program. Drs. Garcia and Cover address topics such as fundable ideas, budget, collaborations, intellectual merit, broader impact, reviewers, and the types of funded projects they engage at their institutions. The NSF HSI STEM Hub recommends viewing this training video before writing your proposal and while reviewing important parts of your proposal during the writing phase, before submission. Matt Cover is an educator and freshwater ecologist at Cal State Stanislaus, a regional comprehensive university in California’s San Joaquin Valley. He is the PI of an HSI STEM grant (NSF #1832558, awarded August 2018) that funds a faculty learning program for STEM educators called CIENCIA: Collaboration for Inclusive and Engaging Curriculum, Instruction, and Achievement. He is passionate about making STEM education more humane, student-centered, creative, and fun; making graduate study more accessible, especially for minoritized students; and bringing a social justice lens to STEM research and education. He gets joy from exploring creeks and looking for bugs and birds, walking and hiking with his partner and dog, and enjoying coffee, beer, and music. Website: http://www.matthewrcover.com/ Antonio (“Tony”) García was recently appointed as Associate Dean of Academics for the College of Engineering at New Mexico State University, and brings more than 34 years of experience in academia and industry. He also holds the position of George W. Lucky Professor in Chemical Engineering due to his expertise in bioprocessing and biomedical devices. As a designer, inventor and researcher, he has developed several diagnostic and drug delivery technologies in conjunction with an international team whose mission is to promote the use of personalized care technology to improve global health. Dr. García is also actively involved in education and human resource projects aimed at improving math, science, and engineering education and to meet the demand for a robust technological workforce as the nation’s demographics changes. He was Associate Editor of the Journal of Research in Science Teaching 2003-2005 and was the project director of a National Science Foundation program (LSAMP) project, established in 1992, to enhance opportunities for undergraduate and graduate students in science, math and engineering. After moving to Las Cruces in August 2019, he led a team of NMSU faculty to recently secure a NSF HSI grant (which began in April 2020) on Innovative Partnerships with Industry with the theme of: Enhancing Social Mobility by Combing Adult Learning within an Engineering Curriculum. Framing Student Success – May 26, 2020 Webinar Link: https://youtu.be/_aPkJTWP2yc The Dr. Alexis Racelis, University of Texas Rio Grande Valley, lab studies ecological interactions in the social, political, and economic contexts in which they occur. In particular, our research is driven by a better understanding of how agriculture, urban development, invasive species and resource management affects certain ecologic","url":"https://doi.org/10.5281/zenodo.13173970","authors":["HSI National STEM Resource Hub","Serrano, Elba","Morales, Gabriela","Peterman, Jarod","Pallarez, Jessica"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13173970","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2409.09174","name":"Incorporation of Verifier Functionality in the Software for Operations and Network Attack Results Review and the Autonomous Penetration Testing System","source":"datacite","abstract":"The software for operations and network attack results review (SONARR) and the autonomous penetration testing system (APTS) use facts and common properties in digital twin networks to represent real-world entities. However, in some cases fact values will change regularly, making it difficult for objects in SONARR and APTS to consistently and accurately represent their real-world counterparts. This paper proposes and evaluates the addition of verifiers, which check real-world conditions and update network facts, to SONARR. This inclusion allows SONARR to retrieve fact values from its executing environment and update its network, providing a consistent method of ensuring that the operations and, therefore, the results align with the real-world systems being assessed. Verifiers allow arbitrary scripts and dynamic arguments to be added to normal SONARR operations. This provides a layer of flexibility and consistency that results in more reliable output from the software.","url":"https://doi.org/10.48550/arxiv.2409.09174","authors":["Milbrath, Jordan","Straub, Jeremy"],"tags":["Cryptography and Security (cs.CR)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.09174","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17863/cam.111993","name":"Mathematical Modelling of Brain Haemodynamics and Pressure-Volume Compensation","source":"datacite","abstract":"Traumatic brain injury (TBI) is a major global health issue with diverse demographics and a dynamic clinical profile. Modern care of a pathology with such variabilities involves individualised treatment, which requires an accurate understanding of pressure-volume interactions inside the cranium. This thesis used a hydrodynamic model representing the circulation of cerebral fluids to investigate the relationships between intracranial pressure (ICP) and cerebral blood volume (CBV) changes. The effects of these relationships on the performance of indices describing vascular dynamics were also examined. The background of this project is discussed in Chapters 1 to 4 of this thesis. Chapter 1 provides a description of the anatomical and physiological aspects of the cerebrospinal space, including the circulation of cerebral fluids and the pressure-volume interactions among different compartments within the cranium. Chapter 2 introduces the pathophysiology of cerebral hydrodynamics in patients with TBI, and the important role of neuro-monitoring in its management. Chapter 3 specifies the aims and hypotheses of this project, while Chapter 4 includes a literature review of previous modelling work in cerebral blood flow (CBF) and cerebrospinal fluid (CSF) dynamics. In this project, a computer programme was written to create an implementation of the electrical equivalence of the hydrodynamic model. With a set of model parameters and imported data, the programme was used to simulate the pressures and flows of fluids in different intracranial compartments. Details of the programme were specified in Chapter 5, while experiments with the model were included in Chapters 6 to 9. In Chapter 6, the validity of an existing model was tested with a series of experiments simulating various clinical phenomena. The simulations include pathophysiological features caused by dynamic variations in cerebrovascular properties, as well as prolonged changes in CBV. In Chapter 7, the existing model was modified to include a compartment representing the bulk flow of cerebral interstitial fluid (ISF), coupled with the cerebrovascular compartment. The new model was tested using the same sets of experiments in the previous chapter, with its results compared to the original model. In Chapter 8, the modified model was used to assess the performance of common autoregulation indices in response to changing strength of cerebral autoregulation (CA), thus identifying the physiological factors determining the reliability of CA assessments. In Chapter 9, the modified model was used to explore the interplay between brain compliances and vascular reactivity, and its influence on pressure reactivity indices. The ability of the model to replicate clinical features observed in TBI patients was also investigated. In conclusion, the model has proved to be a robust tool to study the pressure-volume interactions among various intracranial compartments, as well as the performance of CA and pressure reactivity indices in different scenarios. The work in this thesis has laid the foundation of creating a ‘digital twin’ of cerebral hydrodynamics, with the potential of improving the individualisation of treatments in neuro-intensive care, particularly in dynamic pathologies such as TBI.","url":"https://doi.org/10.17863/cam.111993","authors":["Chu, Ka Hing"],"tags":["Cerebral Haemodynamics","Mathematical Modelling","Traumatic Brain Injury"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17863/cam.111993","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13756201","name":"Optimizing field technician collaboration through implementing digital twin technology in IT service management","source":"datacite","abstract":"This paper is a systematic literature review using Barbara Kitchenham methods. We provided. After completing three stages of the Barbara Kitchenham methods, we have attached the RIS file.","url":"https://doi.org/10.5281/zenodo.13756201","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13756201","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13756200","name":"Optimizing field technician collaboration through implementing digital twin technology in IT service management","source":"datacite","abstract":"This paper is a systematic literature review using Barbara Kitchenham methods. We provided. After completing three stages of the Barbara Kitchenham methods, we have attached the RIS file.","url":"https://doi.org/10.5281/zenodo.13756200","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13756200","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2311.06993","name":"State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies","source":"datacite","abstract":"Recent digital advances have popularized predictive maintenance (PMx), offering enhanced efficiency, automation, accuracy, cost savings, and independence in maintenance processes. Yet, PMx continues to face numerous limitations such as poor explainability, sample inefficiency of data-driven methods, complexity of physics-based methods, and limited generalizability and scalability of knowledge-based methods. This paper proposes leveraging Digital Twins (DTs) to address these challenges and enable automated PMx adoption on a larger scale. While DTs have the potential to be transformative, they have not yet reached the maturity needed to bridge these gaps in a standardized manner. Without a standard definition guiding this evolution, the transformation lacks a solid foundation for development. This paper provides a requirement-based roadmap to support standardized PMx automation using DT technologies. Our systematic approach comprises two primary stages. First, we methodically identify the Informational Requirements (IRs) and Functional Requirements (FRs) for PMx, which serve as a foundation from which any unified framework must emerge. Our approach to defining and using IRs and FRs as the backbone of any PMx DT is supported by the proven success of these requirements as blueprints in other areas, such as product development in the software industry. Second, we conduct a thorough literature review across various fields to assess how these IRs and FRs are currently being applied within DTs, enabling us to identify specific areas where further research is needed to support the progress and maturation of requirement-based PMx DTs.","url":"https://doi.org/10.48550/arxiv.2311.06993","authors":["Ma, Sizhe","Flanigan, Katherine A.","Bergés, Mario"],"tags":["Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.06993","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.26262/heal.auth.ir.357254","name":"Ψηφιακά δίδυμα πόλεων για βιώσιμη και ανθεκτική αστική ανάπτυξη","source":"datacite","abstract":"Η παρούσα εργασία μελετά τη σχέση μεταξύ των ψηφιακών διδύμων πόλης και των εννοιών της βιωσιμότητας και της ανθεκτικότητας. Πιο συγκεκριμένα διερευνά πώς τα ψηφιακά δίδυμα πόλεων μπορούν να αποτελέσουν ένα εργαλείο για τη διαχείριση του αστικού περιβάλλοντος (τρόπο διακυβέρνησης), καθώς όχι μόνο συμβάλουν στην παρακολούθηση και καταγραφή της υπάρχουσας κατάστασης, αλλά δίνουν και τη δυνατότητα μελλοντικών σεναρίων ώστε να αποτραπούν κίνδυνοι ή να βελτιωθούν συνθήκες διαβίωσης στο περιβάλλον μιας πόλης. Στο πρώτο μέρος της εργασίας γίνεται μια βιβλιογραφική επισκόπηση για τα χαρακτηριστικά και τον ρόλο των ψηφιακών διδύμων πόλεων. Αρχικά δίνεται ο ορισμός των ψηφιακών διδύμων και ο ορισμός σε επίπεδο πόλης. Έπειτα, αναλύονται τα γεωχωρικά δεδομένα που περιλαμβάνουν και πώς αυτά είναι διαρθρωμένα σε διαφορετικά χωρικά επίπεδα και κλίμακες. Επιπλέον, δίνονται τα τεχνικά χαρακτηριστικά των ψηφιακών διδύμων πόλης σε σχέση με τον όγκο των δεδομένων τους, τον τρόπο που αυτά ενημερώνονται, το πως εξασφαλίζονται και αν τα δεδομένα είναι ανοιχτά. Εξετάζεται επίσης αν στην εφαρμογή των ψηφιακών διδύμων πόλης θίγονται προσωπικά δεδομένα. Επειδή η προσέγγιση σε αυτό το μοντέλο είναι από τα «πάνω», τίθενται ερωτήματα για το κατά πόσο μπορούν οι χρήστες να συνεισφέρουν στην επικαιροποίηση και στη διαχείριση των δεδομένων τους. Στο βασικό ερώτημα του πώς συνδέονται με την αστική βιωσιμότητα και την ανθεκτικότητα, περιγράφονται τομείς της διαχείρισης του αστικού περιβάλλοντος που υποστηρίζονται από τη λειτουργία των ψηφιακών διδύμων. Επίσης, μελετώνται ορισμένα παραδείγματα πόλεων και εφαρμογών που έχουν σε λειτουργία ψηφιακά δίδυμα όπως η Σιγκαπούρη, η Αθήνα, το Amaravati, το Herrenberg και η περίπτωση του Destination Earth. Περιγράφεται η λειτουργία τους, ποια ανάγκη καλύπτει η δημιουργία τους, τι περιλαμβάνουν, πώς δημιουργήθηκαν και σε ποιον είναι διαθέσιμες οι πληροφορίες τους. Στο δεύτερο μέρος της εργασίας, διενεργήθηκε έρευνα ερωτηματολογίου για το κατά πόσο οι εμπλεκόμενοι στη διαχείριση αστικού περιβάλλοντος (τοπική αυτοδιοίκηση, πολιτική προστασία, εθελοντικές ομάδες) είναι διατεθειμένοι να χρησιμοποιήσουν τα ψηφιακά δίδυμα πόλεων στην ελληνική πραγματικότητα και τι θεωρούν ότι πρέπει να περιλαμβάνουν. Τέλος, περιγράφεται η ανάλυση του ερωτηματολογίου, τα αποτελέσματα που προέκυψαν από αυτήν και τα συμπεράσματα που εξάγονται από την εργασία.","url":"https://doi.org/10.26262/heal.auth.ir.357254","authors":["Τσιφοδήμου, Ζωή-Ειρήνη Αθανασίου"],"tags":["Ψηφιακά δίδυμα πόλεων","Αστική ανθεκτικότητα","Διαχείριση αστικού περιβάλλοντος","Urban digital twin","Urban resilience","Urban governance"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.26262/heal.auth.ir.357254","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-6069","name":"РТК для загрузки-разгрузки станков с ЧПУ","source":"datacite","abstract":"Целью работы является разработка РТК, предназначенного для автоматизации загрузки заготовок в токарный станок с ЧПУ с последующей выгрузкой обработанных изделий. Решены следующие задачи: аналитический обзор существующих РТК для загрузки-выгрузки токарных станков с ЧПУ; определение структурной схемы РТК; разработка алгоритма работы комплекса; выбор комплектующих; проектирование сборных узлов комплекса, формирование технической документации; разработка системы ПАЗ и расчёт её надёжности; создание цифрового двойника РТК; программирование и тестирование РТК в производственных условиях. Результаты работы получены с помощью САПРSolidWorks, среды разработки программного обеспечения KIDE, виртуальной среды K-Roset. В результате работы был спроектирован РТК, удовлетворяющий требования технического задания, предоставленного компанией ООО «РОБОВИЗАРД». Разработаны техническая документация, цифровой двойник и программное обеспечение комплекса. Прототип был собран и протестирован, в результате чего время простоя токарных станков с ЧПУ было сокращено более, чем в два раза. Дальнейшее развитие проекта направлено на расширение номенклатуры типоразмеров поддерживаемых заготовок, на увеличение операций, проводимых комплексом, а также на разработку оснастки для обслуживания фрезерных и токарно-фрезерных станков с ЧПУ.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-6069","authors":["Назаров, Андрей"],"tags":["роботизация производств","станки с чпу","цифровой двойник","Kawasaki","металлообработка","оптимизация производства","production robotization","cnc machines"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-6069","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17863/cam.111239","name":"KNOWLEDGE DRIVEN RULE-BASED BUILDING GEOMETRIC DIGITAL TWIN CONSTRUCTION – STATE OF ART REVIEW","source":"datacite","abstract":"Automatic construction of the building geometric digital twins (gDTs) is implemented based on the scanned data from the existing buildings. The highly detailed gDTs necessitates the top-down construction method informed by the predefined building knowledge. This paper reviews the building rules used for the model-driven building indoor environment gDTs construction. It is found that these knowledge is fragmented and lacks systematic analysis. The research categorise these rules into three groups and proposes an Ontology-based knowledge graphs (KGs) approach for organising this knowledge. This method aims to integrate rules for gDT construction to establish a knowledge system for the further research.","url":"https://doi.org/10.17863/cam.111239","authors":["Wen, Ya","Wang, Mudan","Ariyachandra, Mahendrini","Wei, Ran","Brilakis, Ioannis","Xiao, Lizhao"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17863/cam.111239","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17863/cam.107918","name":"A Digital Twin Based Approach to Control Overgrowth of Roadside Vegetation","source":"datacite","abstract":"Roadside vegetation poses a significant risk to road safety, often contributing to traffic accidents by obstructing drivers’ views and impeding visibility. This study investigates existing control methods, assesses their limitations, defines technology-agnostic information requirements for vegetation control, and proposes a Digital Twin-based solution. The methodology involves expert interviews, a literature review, and a real-world case study, demonstrating the solution’s applicability. The study contributes to the field by offering insights into current practices, defining information needs, and presenting a novel approach for more effective roadside vegetation management. This research contributes to advancing road safety practices by harnessing the capabilities of digital twin technology to proactively manage and mitigate the risks associated with overgrown roadside vegetation.","url":"https://doi.org/10.17863/cam.107918","authors":["Reja, Varun Kumar","Davletshina, Diana","Yin, Mengtian","Wei, Ran","Adam, Quentin Felix","Brilakis, Ioannis","Perrotta, Federico"],"tags":["Asset Management","Data-driven methodology","Digital Twin","NonPavement Assets","Road Safety","Roadside Vegetation","Traffic accidents","Transportation Infrastructure"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17863/cam.107918","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2408.06785","name":"Perspectives-Observer-Transparency -- A Novel Paradigm for Modelling the Human in Human-To-Anything Interaction Based on a Structured Review of the Human Digital Twin","source":"datacite","abstract":"Modern modelling approaches fail when it comes to understanding rather than pure supervision of human behavior. As humans become more and more integrated into human-to-anything interactions, the understanding of the human as a whole becomes critical. In this paper, we conduct a structured review of the human digital twin to indicate where modern paradigms fail to model the human agent. Particularly, the mechanistic viewpoint limits the usability of human and general digital twins. Instead, we propose a novel way of thinking about models, states, and their relations: Perspectives-Observer-Transparency. The modelling paradigm indicates how transparency - or whiteness - relates to the abilities of an observer, which again allows to model the penetration depth of a system model into the human psyche. The split in between the human's outer and inner states is described with a perspectives model, featuring the introperspective and the exteroperspective. We explore this novel paradigm by employing two recent scenarios from ongoing research and give examples to emphasize specific characteristics of the modelling paradigm.","url":"https://doi.org/10.48550/arxiv.2408.06785","authors":["Mandischer, Nils","Atanasyan, Alexander","Schluse, Michael","Roßmann, Jürgen","Mikelsons, Lars"],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.06785","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2404.00954","name":"Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks","source":"datacite","abstract":"Digital twins (DTs), which are virtual environments that simulate, predict, and optimize the performance of their physical counterparts, hold great promise in revolutionizing next-generation wireless networks. While DTs have been extensively studied for wireless networks, their use in conjunction with autonomous vehicles featuring programmable mobility remains relatively under-explored. In this paper, we study DTs used as a development environment to design, deploy, and test artificial intelligence (AI) techniques that utilize real-world (RW) observations, e.g. radio key performance indicators, for vehicle trajectory and network optimization decisions in autonomous vehicle networks (AVN). We first compare and contrast the use of simulation, digital twin (software in the loop (SITL)), sandbox (hardware-in-the-loop (HITL)), and physical testbed (PT) environments for their suitability in developing and testing AI algorithms for AVNs. We then review various representative use cases of DTs for AVN scenarios. Finally, we provide an example from the NSF AERPAW platform where a DT is used to develop and test AI-aided solutions for autonomous unmanned aerial vehicles for localizing a signal source based solely on link quality measurements. Our results in the physical testbed show that SITL DTs, when supplemented with data from RW measurements and simulations, can serve as an ideal environment for developing and testing innovative AI solutions for AVNs.","url":"https://doi.org/10.48550/arxiv.2404.00954","authors":["Gürses, Anıl","Reddy, Gautham","Masrur, Saad","Özdemir, Özgür","Güvenç, İsmail","Sichitiu, Mihail L.","Şahin, Alphan","Alkhateeb, Ahmed","Mushi, Magreth","Dutta, Rudra"],"tags":["Signal Processing (eess.SP)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.00954","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13227505","name":"Promoting Inclusive and Sustainable Entrepreneurship and Innovation in Deep Tech: A good practice guide","source":"datacite","abstract":"Recently, at the European level, increasing attention has been placed on the role higher education institutions (HEIs) can play as “regional innovation engines” (European Commission, 2022a). In particular, HEIs’ capacity to attract, nurture and retain talents has been emphasised, and their capacity to achieve compelling priorities (such as the ‘twin transition’) has been highlighted. The current wave of deep tech innovation has been acknowledged as pivotal in supporting HEIs’ contribution to regional innovation, and augmenting their capacity to leverage diverse talents, intellectual assets, and industrial capabilities. In this regard, the New European Innovation Agenda (European Commission, 2022b) supports university-industry collaboration, fostering research and technology infrastructures to produce, value and spread new knowledge. Furthermore, cutting-edge technological solutions combining fields of science and engineering in the physical, biological, and digital spheres are indispensable in addressing the most pressing global challenges (EIT, 2022). HEIs in Europe, through their various entrepreneurship education programmes, provide a vital contribution to the new education, research, and innovation agenda by promoting and supporting increased licensing, patenting, and new venture creation activity. When referring to entrepreneurship and innovation, the New EU Innovation Agenda and the European Strategy for Universities emphasise inclusivity and sustainability by encouraging the participation of under-represented groups and guaranteeing equal access to opportunities in the field. They also promote pathways that support the achievement of the Sustainable Development Goals (SDGs) (UN, 2012). Against this backdrop, the Start for Future (SFF) project aims to enhance the entrepreneurial mindset of HEIs, their ecosystem stakeholders and core target groups, encouraging them to develop sustainable and scalable business models of collaboration and generate impact across Europe and beyond. In autumn 2023, SFF invited HEIs from the SFF consortium and its wider entrepreneurial ecosystem to share good practice examples of inclusive and sustainable entrepreneurship and innovation in deep tech. Following a thorough review and revision process, sixteen good practice examples were selected for publication in this Good Practice Guide. These examples cover four main themes: accredited education programmes (degrees, postgraduate diplomas, masters, PhDs); entrepreneurship training programmes; accelerators/incubators, and other innovative initiatives relating to financial support, diagnostics, and student engagement to promote deep tech entrepreneurship. The countries covered by these examples include Belgium, Bulgaria, Croatia, Denmark, Estonia, Germany, Ireland, Italy, Latvia, Portugal, Scotland, and Spain. This guidebook should prove a valuable resource for HEIs interested in enhancing their current entrepreneurship and innovation offerings to ensure they are both inclusive and sustainable.","url":"https://doi.org/10.5281/zenodo.13227505","authors":["Henry, Colette","Tomasi, Sabrina","Singer, Slavica","Bucaille, Margot","Lovgren, Erik Mass","Stilling, Simone","Cavicchi, Alessio"],"tags":["innovation","entrepreneurship","entrepreneurial education"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13227505","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.13227506","name":"Promoting Inclusive and Sustainable Entrepreneurship and Innovation in Deep Tech: A good practice guide","source":"datacite","abstract":"Recently, at the European level, increasing attention has been placed on the role higher education institutions (HEIs) can play as “regional innovation engines” (European Commission, 2022a). In particular, HEIs’ capacity to attract, nurture and retain talents has been emphasised, and their capacity to achieve compelling priorities (such as the ‘twin transition’) has been highlighted. The current wave of deep tech innovation has been acknowledged as pivotal in supporting HEIs’ contribution to regional innovation, and augmenting their capacity to leverage diverse talents, intellectual assets, and industrial capabilities. In this regard, the New European Innovation Agenda (European Commission, 2022b) supports university-industry collaboration, fostering research and technology infrastructures to produce, value and spread new knowledge. Furthermore, cutting-edge technological solutions combining fields of science and engineering in the physical, biological, and digital spheres are indispensable in addressing the most pressing global challenges (EIT, 2022). HEIs in Europe, through their various entrepreneurship education programmes, provide a vital contribution to the new education, research, and innovation agenda by promoting and supporting increased licensing, patenting, and new venture creation activity. When referring to entrepreneurship and innovation, the New EU Innovation Agenda and the European Strategy for Universities emphasise inclusivity and sustainability by encouraging the participation of under-represented groups and guaranteeing equal access to opportunities in the field. They also promote pathways that support the achievement of the Sustainable Development Goals (SDGs) (UN, 2012). Against this backdrop, the Start for Future (SFF) project aims to enhance the entrepreneurial mindset of HEIs, their ecosystem stakeholders and core target groups, encouraging them to develop sustainable and scalable business models of collaboration and generate impact across Europe and beyond. In autumn 2023, SFF invited HEIs from the SFF consortium and its wider entrepreneurial ecosystem to share good practice examples of inclusive and sustainable entrepreneurship and innovation in deep tech. Following a thorough review and revision process, sixteen good practice examples were selected for publication in this Good Practice Guide. These examples cover four main themes: accredited education programmes (degrees, postgraduate diplomas, masters, PhDs); entrepreneurship training programmes; accelerators/incubators, and other innovative initiatives relating to financial support, diagnostics, and student engagement to promote deep tech entrepreneurship. The countries covered by these examples include Belgium, Bulgaria, Croatia, Denmark, Estonia, Germany, Ireland, Italy, Latvia, Portugal, Scotland, and Spain. This guidebook should prove a valuable resource for HEIs interested in enhancing their current entrepreneurship and innovation offerings to ensure they are both inclusive and sustainable.","url":"https://doi.org/10.5281/zenodo.13227506","authors":["Henry, Colette","Tomasi, Sabrina","Singer, Slavica","Bucaille, Margot","Lovgren, Erik Mass","Stilling, Simone","Cavicchi, Alessio"],"tags":["innovation","entrepreneurship","entrepreneurial education"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13227506","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.12793842","name":"Roadmap for the adoption of PAT and  digital twin technologies in the  European Pharmaceutical Industry: Barriers and Opportunities","source":"datacite","abstract":"The Roadmap for adoption of PAT and digital twin technologies, which has been conducted as part of the ETERNAL Horizon Europe project under the framework of the work package two which focusses on ‘DIGITALIZATION FOR COMPETITIVE AND SCALABLE METHODS OF PRODUCTION’, and in particular as part of the Task 2.1 which centred on ‘Opportunities and Barriers for Digitalization of the European pharmaceutical industry’. This review is mostly based on the digital technologies for drug development and manufacturing, implemented in the framework of the Industry 4.0 which continue to evolve, such as artificial intelligence and advanced computing. These begin to challenge the traditional approaches, practices, and business models for the manufacturing of pharmaceuticals. The application of digital technologies to the pharmaceutical industries has the potential to significantly increase the agility, the efficiency, the flexibility, as well as the sustainability of the drug manufacturing processes, and the quality of the medicines produced.","url":"https://doi.org/10.5281/zenodo.12793842","authors":["Poch, Alexandra","Rodriguez, Laura","Nettleton, David","Mc Nerney, Oonagh"],"tags":["Digital Twins","PAT","Digitalisation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.12793842","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.12793841","name":"Roadmap for the adoption of PAT and  digital twin technologies in the  European Pharmaceutical Industry: Barriers and Opportunities","source":"datacite","abstract":"The Roadmap for adoption of PAT and digital twin technologies, which has been conducted as part of the ETERNAL Horizon Europe project under the framework of the work package two which focusses on ‘DIGITALIZATION FOR COMPETITIVE AND SCALABLE METHODS OF PRODUCTION’, and in particular as part of the Task 2.1 which centred on ‘Opportunities and Barriers for Digitalization of the European pharmaceutical industry’. This review is mostly based on the digital technologies for drug development and manufacturing, implemented in the framework of the Industry 4.0 which continue to evolve, such as artificial intelligence and advanced computing. These begin to challenge the traditional approaches, practices, and business models for the manufacturing of pharmaceuticals. The application of digital technologies to the pharmaceutical industries has the potential to significantly increase the agility, the efficiency, the flexibility, as well as the sustainability of the drug manufacturing processes, and the quality of the medicines produced.","url":"https://doi.org/10.5281/zenodo.12793841","authors":["Poch, Alexandra","Rodriguez, Laura","Nettleton, David","Mc Nerney, Oonagh"],"tags":["Digital Twins","PAT","Digitalisation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.12793841","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.12909531","name":"The adoption of digital twin technology to facilitate resource and asset tracking in field service management: a conceptual model","source":"datacite","abstract":"This paper is a systematic literature review using Barbara Kitchenham methods. We provided. After completing three stages of the Barbara Kitchenham methods, we have attached the RIS file.","url":"https://doi.org/10.5281/zenodo.12909531","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.12909531","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.12909532","name":"The adoption of digital twin technology to facilitate resource and asset tracking in field service management: a conceptual model","source":"datacite","abstract":"This paper is a systematic literature review using Barbara Kitchenham methods. We provided. After completing three stages of the Barbara Kitchenham methods, we have attached the RIS file.","url":"https://doi.org/10.5281/zenodo.12909532","authors":["Arin, Ikrar Adinata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.12909532","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2405.18092","name":"LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins","source":"datacite","abstract":"This paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins. This framework features specialized LLM agents tasked with observing, reasoning, decision-making, and summarizing, enabling them to dynamically interact with digital twin simulations to explore parametrization possibilities and determine feasible parameter settings to achieve an objective. The proposed approach enhances the usability of simulation model by infusing it with knowledge heuristics from LLM and enables autonomous search for feasible parametrization to solve a user task. Furthermore, the system has the potential to increase user-friendliness and reduce the cognitive load on human users by assisting in complex decision-making processes. The effectiveness and functionality of the system are demonstrated through a case study, and the visualized demos and codes are available at a GitHub Repository: https://github.com/YuchenXia/LLMDrivenSimulation","url":"https://doi.org/10.48550/arxiv.2405.18092","authors":["Xia, Yuchen","Dittler, Daniel","Jazdi, Nasser","Chen, Haonan","Weyrich, Michael"],"tags":["Artificial Intelligence (cs.AI)","Emerging Technologies (cs.ET)","Multiagent Systems (cs.MA)","Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.18092","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2407.11990","name":"Digital twins in sport: Concepts, Taxonomies, Challenges and Practical Potentials","source":"datacite","abstract":"Digital twins belong to ten of the strategic technology trends according to the Gartner list from 2019, and have encountered a big expansion, especially with the introduction of Industry 4.0. Sport, on the other hand, has become a constant companion of the modern human suffering a lack of a healthy way of life. The application of digital twins in sport has brought dramatic changes not only in the domain of sport training, but also in managing athletes during competitions, searching for strategical solutions before and tactical solutions during the games by coaches. In this paper, the domain of digital twins in sport is reviewed based on papers which have emerged in this area. At first, the concept of a digital twin is discussed in general. Then, taxonomies of digital twins are appointed. According to these taxonomies, the collection of relevant papers is analyzed, and some real examples of digital twins are exposed. The review finishes with a discussion about how the digital twins affect changes in the modern sport disciplines, and what challenges and opportunities await the digital twins in the future.","url":"https://doi.org/10.48550/arxiv.2407.11990","authors":["Hliš, Tilen","Fister, Iztok","Fister, Iztok"],"tags":["Human-Computer Interaction (cs.HC)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.11990","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/6gpew-3n997","name":"Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach","source":"datacite","abstract":"IET Signal ProcessingEarly View ORIGINAL RESEARCHOpen Access Unmanned aerial vehicle-aided edge networks with ultra-reliable low-latency communications: A digital twin approach Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author First published: 25 April 2022 https://doi.org/10.1049/sil2.12128 This paper has been accepted in part for presentation in the first International Conference on 6G Networking (6GNet 2022) to be held on July 06-08, 2022 in Paris, France [ 1]. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract A digital twin (DT) framework for Internet-of-thing (IoT) networks is proposed where unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers support the task offloading on the fly. The considered DT model is very well suitable for industrial automation with the strict constraints of mission-critical services' ultra-reliable low-latency communication (URLLC) links. To support low-latency IoT devices, we formulate the end-to-end (e2e) latency minimisation problem of digital twin-aided offloading UAV-URLLC. Specifically, the minimised latency is obtained by jointly optimising both communication and computation parameters, namely power, offloading factors, and the proc","url":"https://doi.org/10.60692/6gpew-3n997","authors":["Yijiu Li","Dang Van Huynh","Tan Do‐Duy","Emiliano Garcia‐Palacios","Trung Q. Duong"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Intelligent Reflecting Surfaces in Wireless Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/6gpew-3n997","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/g5bj3-xfp39","name":"Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach","source":"datacite","abstract":"IET Signal ProcessingEarly View ORIGINAL RESEARCHOpen Access Unmanned aerial vehicle-aided edge networks with ultra-reliable low-latency communications: A digital twin approach Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author First published: 25 April 2022 https://doi.org/10.1049/sil2.12128 This paper has been accepted in part for presentation in the first International Conference on 6G Networking (6GNet 2022) to be held on July 06-08, 2022 in Paris, France [ 1]. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract A digital twin (DT) framework for Internet-of-thing (IoT) networks is proposed where unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers support the task offloading on the fly. The considered DT model is very well suitable for industrial automation with the strict constraints of mission-critical services' ultra-reliable low-latency communication (URLLC) links. To support low-latency IoT devices, we formulate the end-to-end (e2e) latency minimisation problem of digital twin-aided offloading UAV-URLLC. Specifically, the minimised latency is obtained by jointly optimising both communication and computation parameters, namely power, offloading factors, and the proc","url":"https://doi.org/10.60692/g5bj3-xfp39","authors":["Yijiu Li","Dang Van Huynh","Tan Do‐Duy","Emiliano Garcia‐Palacios","Trung Q. Duong"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Intelligent Reflecting Surfaces in Wireless Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/g5bj3-xfp39","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/wxb8w-cmr14","name":"Unleashing the potential of digital twins: a new era with aeronautics 4.0","source":"datacite","abstract":"Abstract* Introduction The aerospace value chain consists of several processes, and digitizing it first requires an assessment of these processes and their ability to be transferred to the fully integrated digital thread perspective of smart factories. A digital thread refers to the continuous flow of data and information related to a product throughout its life cycle, integrating and connecting all aspects of a product's journey. Within this framework, digital twin technology, an essential element of Industry 4.0, comprises the implementation of a virtual presentation of a physical object, system, or process. It brings together the digital replica not only of the physical attributes but also of the behavioral performance of the physical twin. Methods To achieve a digital thread perspective for aeronautics, a research agenda is proposed, including all breakpoints in the current value chain through a PESTLE Analysis, which defines the value-added areas targeted by this transition to digital technology. An aeronautics 4.0 model Digital Thread Twin Smart Aeronautics D2TSAero is proposed, which provides a new perspective in the aeronautics field by integrating its main ecosystems into an interconnected model made possible by the integration of digital twin agent instances. Proof of Concept A use case that deals with the dependability management of an aircraft fuel distribution system is presented. Based on these results, we can see that the proposed twin model can help in reducing real system parts down time, and it can also improve the management of maintenance across the system life cycle by offering a single source of trust for all stakeholders involved in the digital thread cycle of the real twin. Conclusion A forward-looking perspective on the future of aeronautics with this integrated approach is presented, summarizing all the discussed points and the importance of digital twins in supporting the digitalization of the field.","url":"https://doi.org/10.60692/wxb8w-cmr14","authors":["Ghita Mezzour","Siham Benhadou","Mariam Benhadou","Haddout Abdellah"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Digital Transformation and Innovation Management","Management of Technology and Innovation","Business, Management and Accounting","Social Sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/wxb8w-cmr14","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/2v0ef-gad84","name":"Unleashing the potential of digital twins: a new era with aeronautics 4.0","source":"datacite","abstract":"Abstract* Introduction The aerospace value chain consists of several processes, and digitizing it first requires an assessment of these processes and their ability to be transferred to the fully integrated digital thread perspective of smart factories. A digital thread refers to the continuous flow of data and information related to a product throughout its life cycle, integrating and connecting all aspects of a product's journey. Within this framework, digital twin technology, an essential element of Industry 4.0, comprises the implementation of a virtual presentation of a physical object, system, or process. It brings together the digital replica not only of the physical attributes but also of the behavioral performance of the physical twin. Methods To achieve a digital thread perspective for aeronautics, a research agenda is proposed, including all breakpoints in the current value chain through a PESTLE Analysis, which defines the value-added areas targeted by this transition to digital technology. An aeronautics 4.0 model Digital Thread Twin Smart Aeronautics D2TSAero is proposed, which provides a new perspective in the aeronautics field by integrating its main ecosystems into an interconnected model made possible by the integration of digital twin agent instances. Proof of Concept A use case that deals with the dependability management of an aircraft fuel distribution system is presented. Based on these results, we can see that the proposed twin model can help in reducing real system parts down time, and it can also improve the management of maintenance across the system life cycle by offering a single source of trust for all stakeholders involved in the digital thread cycle of the real twin. Conclusion A forward-looking perspective on the future of aeronautics with this integrated approach is presented, summarizing all the discussed points and the importance of digital twins in supporting the digitalization of the field.","url":"https://doi.org/10.60692/2v0ef-gad84","authors":["Ghita Mezzour","Siham Benhadou","Mariam Benhadou","Haddout Abdellah"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Digital Transformation and Innovation Management","Management of Technology and Innovation","Business, Management and Accounting","Social Sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/2v0ef-gad84","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-2587","name":"Проект совершенствования процесса разработки цифрового двойника в компании ООО \"ИИТБ\"","source":"datacite","abstract":"Цель работы: повышение качества процесса «Разработка цифрового двойника» за счёт сокращения количества ошибок и времени выполнения проектов. Для достижения цели необходимо выполнить следующие задачи: 1. Провести интервью с участниками процесса 2. Анализ процесса «Разработка цифрового двойника» в компании «ИИТБ»; 3. Разработка критериев оценки процесса; 4. Создание функциональной модели «AS IS» и выявление требующих пересмотра элементов нынешнего процесса; 5. Создание функциональной модели «TO BE»; 6. Разработка плана внедрения улучшений, проведение измерений и оцен-ка результата; 7. Разработка календарного плана и бюджета, анализ рисков проекта. В ходе работы была выявлена проблема – длительное время выполнения процесса «Разработка цифрового двойника» из-за отсутствия системы управле-ния проектами и непонимания сотрудниками процесса, для которого ведется разработка. Найдены причины возникновения ошибок и предложены решения по их устранению. Определены этапы внедрения улучшений и приведены ожидае-мые результаты от совершенствования процесса.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-2587","authors":["Железнякова, Инна"],"tags":["оптимизация","система управления проектами","совершенствование процесса","управление качеством","цифровой двойник","optimization","project management system","process improvement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-2587","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/3vb0s-gpd17","name":"Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices","source":"datacite","abstract":"Background Maintaining machines effectively continues to be a challenge for industrial organisations, which frequently employ reactive or premeditated methods. Recent research has begun to shift its attention towards the application of Predictive Maintenance (PdM) and Digital Twins (DT) principles in order to improve maintenance processes. PdM technologies have the capacity to significantly improve profitability, safety, and sustainability in various industries. Significantly, precise equipment estimation, enabled by robust supervised learning techniques, is critical to the efficacy of PdM in conjunction with DT development. This study underscores the application of PdM and DT, exploring its transformative potential across domains demanding real-time monitoring. Specifically, it delves into emerging fields in healthcare, utilities (smart water management), and agriculture (smart farm), aligning with the latest research frontiers in these areas. Methodology Employing the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria, this study highlights diverse modeling techniques shaping asset lifetime evaluation within the PdM context from 34 scholarly articles. Results The study revealed four important findings: various PdM and DT modelling techniques, their diverse approaches, predictive outcomes, and implementation of maintenance management. These findings align with the ongoing exploration of emerging applications in healthcare, utilities (smart water management), and agriculture (smart farm). In addition, it sheds light on the critical functions of PdM and DT, emphasising their extraordinary ability to drive revolutionary change in dynamic industrial challenges. The results highlight these methodologies' flexibility and application across many industries, providing vital insights into their potential to revolutionise asset management and maintenance practice for real-time monitoring. Conclusions Therefore, this systematic review provides a current and essential resource for academics, practitioners, and policymakers to refine PdM strategies and expand the applicability of DT in diverse industrial sectors.","url":"https://doi.org/10.60692/3vb0s-gpd17","authors":["Noor Sakinah Abdul Wahab","Khairunnisa Hasikin‬","Khin Wee Lai","Kaijian Xia","Lulu Bei","Kai Huang","Xiang Wu"],"tags":["Medical Equipment Maintenance and Management","Medical Laboratory Technology","Health Professions","Health Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/3vb0s-gpd17","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/w0709-k9v49","name":"Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices","source":"datacite","abstract":"Background Maintaining machines effectively continues to be a challenge for industrial organisations, which frequently employ reactive or premeditated methods. Recent research has begun to shift its attention towards the application of Predictive Maintenance (PdM) and Digital Twins (DT) principles in order to improve maintenance processes. PdM technologies have the capacity to significantly improve profitability, safety, and sustainability in various industries. Significantly, precise equipment estimation, enabled by robust supervised learning techniques, is critical to the efficacy of PdM in conjunction with DT development. This study underscores the application of PdM and DT, exploring its transformative potential across domains demanding real-time monitoring. Specifically, it delves into emerging fields in healthcare, utilities (smart water management), and agriculture (smart farm), aligning with the latest research frontiers in these areas. Methodology Employing the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria, this study highlights diverse modeling techniques shaping asset lifetime evaluation within the PdM context from 34 scholarly articles. Results The study revealed four important findings: various PdM and DT modelling techniques, their diverse approaches, predictive outcomes, and implementation of maintenance management. These findings align with the ongoing exploration of emerging applications in healthcare, utilities (smart water management), and agriculture (smart farm). In addition, it sheds light on the critical functions of PdM and DT, emphasising their extraordinary ability to drive revolutionary change in dynamic industrial challenges. The results highlight these methodologies' flexibility and application across many industries, providing vital insights into their potential to revolutionise asset management and maintenance practice for real-time monitoring. Conclusions Therefore, this systematic review provides a current and essential resource for academics, practitioners, and policymakers to refine PdM strategies and expand the applicability of DT in diverse industrial sectors.","url":"https://doi.org/10.60692/w0709-k9v49","authors":["Noor Sakinah Abdul Wahab","Khairunnisa Hasikin‬","Khin Wee Lai","Kaijian Xia","Lulu Bei","Kai Huang","Xiang Wu"],"tags":["Medical Equipment Maintenance and Management","Medical Laboratory Technology","Health Professions","Health Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/w0709-k9v49","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.6084/m9.figshare.21302905.v1","name":"Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic","source":"datacite","abstract":"The ever-happening disruptive events interrupt the operationalisation of manufacturing organisations resulting in stalling the production flow and depleting societies with products. Advancements in cutting-edge technologies, viz. blockchain, artificial intelligence, virtual reality, digital twin, etc. have attracted the practitioners’ attention to overcome such saddled conditions. This study attempts to explore the role of artificial intelligence (AI) in building the resilience of production function at manufacturing organisations during a COVID-19 pandemic. In this regard, a decision support system comprising an integrated voting analytical hierarchy process (VAHP) and Bayesian network (BN) method is developed. Initially, through a comprehensive literature review, the critical success factors (CSFs) for implementing AI are determined. Further, using a multi-criteria decision-making (MCDM) based VAHP, CSFs are prioritised to determine the prominent ones. Finally, the machine learning based BN method is adopted to predict and understand the influential CSFs that help achieve the highest production resilience. The present research is one of the early attempts to know the essence of AI and bridge the interplay between AI and production resilience during COVID-19. This study can support academicians, practitioners, and decision-makers in assessing the AI adoption in manufacturing organisations and evaluate the impact of different CSFs of AI on production resilience.","url":"https://doi.org/10.6084/m9.figshare.21302905.v1","authors":["Dohale, Vishwas","Akarte, Milind","Gunasekaran, Angappa","Verma, Priyanka"],"tags":["Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.6084/m9.figshare.21302905.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.6084/m9.figshare.21302905","name":"Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic","source":"datacite","abstract":"The ever-happening disruptive events interrupt the operationalisation of manufacturing organisations resulting in stalling the production flow and depleting societies with products. Advancements in cutting-edge technologies, viz. blockchain, artificial intelligence, virtual reality, digital twin, etc. have attracted the practitioners’ attention to overcome such saddled conditions. This study attempts to explore the role of artificial intelligence (AI) in building the resilience of production function at manufacturing organisations during a COVID-19 pandemic. In this regard, a decision support system comprising an integrated voting analytical hierarchy process (VAHP) and Bayesian network (BN) method is developed. Initially, through a comprehensive literature review, the critical success factors (CSFs) for implementing AI are determined. Further, using a multi-criteria decision-making (MCDM) based VAHP, CSFs are prioritised to determine the prominent ones. Finally, the machine learning based BN method is adopted to predict and understand the influential CSFs that help achieve the highest production resilience. The present research is one of the early attempts to know the essence of AI and bridge the interplay between AI and production resilience during COVID-19. This study can support academicians, practitioners, and decision-makers in assessing the AI adoption in manufacturing organisations and evaluate the impact of different CSFs of AI on production resilience.","url":"https://doi.org/10.6084/m9.figshare.21302905","authors":["Dohale, Vishwas","Akarte, Milind","Gunasekaran, Angappa","Verma, Priyanka"],"tags":["Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.6084/m9.figshare.21302905","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/zcg3a-wxe40","name":"DIGITAL TWIN FOR INDOOR DISASTER IN SMART CITY: A SYSTEMATIC REVIEW","source":"datacite","abstract":"Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.","url":"https://doi.org/10.60692/zcg3a-wxe40","authors":["Sarah Shaharuddin","Khairul Nizam Abdul Maulud","S. A. F. Syed Abdul Rahman","Adi Irfan Che Ani"],"tags":["Smart Cities: Innovations and Challenges","Media Technology","Engineering","Physical Sciences","Building Information Modeling in Construction Industry","Building and Construction","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/zcg3a-wxe40","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/pkysg-fyb14","name":"DIGITAL TWIN FOR INDOOR DISASTER IN SMART CITY: A SYSTEMATIC REVIEW","source":"datacite","abstract":"Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.","url":"https://doi.org/10.60692/pkysg-fyb14","authors":["Sarah Shaharuddin","Khairul Nizam Abdul Maulud","S. A. F. Syed Abdul Rahman","Adi Irfan Che Ani"],"tags":["Smart Cities: Innovations and Challenges","Media Technology","Engineering","Physical Sciences","Building Information Modeling in Construction Industry","Building and Construction","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/pkysg-fyb14","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/fg3g5-edd13","name":"Towards electric digital twin grid: Technology and framework review","source":"datacite","abstract":"The major hindrances in the energy system are ecological consciousness, lack of clean and sustainable energy management, insufficient energy distribution–transmission–optimization, expensive power transfer costs, and increased customer knowledge of energy charges. Thus why, universal access to the grid with high cybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a new dimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. Thus, the power grid transmission loss and location of the overheated line and power connection missing can be detected in addition decision-making and self-healing can possible. The future prediction saves the power grid from small to long accidents such as power outages and even blackout problems. The whole consumers and nation feel relief from these types of accidents and saves from large economic and business loss. The blockchain-enabled digital twin grid provides high security for the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and the concept of the DT grid processing and the way of serving the producer, prosumers, consumers even the whole nation in infrastructure, education, research, economic, business, and political development.","url":"https://doi.org/10.60692/fg3g5-edd13","authors":["Md. Mhamud Hussen Sifat","Safwat Mukarrama Choudhury","Sajal K. Das","Md. Hafiz Ahamed","S. M. Muyeen","Md. Mehedi Hasan","Mohamad Wijayanuddin Ali","Zinat Tasneem","Md. Manirul Islam","Md. Robiul Islam","Md. Faisal R. Badal","Sarafat Hussain Abhi"],"tags":["Security Challenges in Smart Grid Systems","Control and Systems Engineering","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Blockchain and Internet of Things Integration","Information Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/fg3g5-edd13","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/xpqzd-6zh10","name":"Towards electric digital twin grid: Technology and framework review","source":"datacite","abstract":"The major hindrances in the energy system are ecological consciousness, lack of clean and sustainable energy management, insufficient energy distribution–transmission–optimization, expensive power transfer costs, and increased customer knowledge of energy charges. Thus why, universal access to the grid with high cybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a new dimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. Thus, the power grid transmission loss and location of the overheated line and power connection missing can be detected in addition decision-making and self-healing can possible. The future prediction saves the power grid from small to long accidents such as power outages and even blackout problems. The whole consumers and nation feel relief from these types of accidents and saves from large economic and business loss. The blockchain-enabled digital twin grid provides high security for the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and the concept of the DT grid processing and the way of serving the producer, prosumers, consumers even the whole nation in infrastructure, education, research, economic, business, and political development.","url":"https://doi.org/10.60692/xpqzd-6zh10","authors":["Md. Mhamud Hussen Sifat","Safwat Mukarrama Choudhury","Sajal K. Das","Md. Hafiz Ahamed","S. M. Muyeen","Md. Mehedi Hasan","Mohamad Wijayanuddin Ali","Zinat Tasneem","Md. Manirul Islam","Md. Robiul Islam","Md. Faisal R. Badal","Sarafat Hussain Abhi"],"tags":["Security Challenges in Smart Grid Systems","Control and Systems Engineering","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Blockchain and Internet of Things Integration","Information Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/xpqzd-6zh10","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5283/epub.58461","name":"Photoacoustic Spectroscopy for C1-C2 Hydrocarbon Monitoring in Ambient Air","source":"datacite","abstract":"Die vorliegende Dissertation erörtert das Potenzial der photoakustischen Spektroskopie (PAS) für die Detektion von Methan und Ethan in der Umgebungsluft. Der theoretische Teil widmet sich zunächst ausführlich den Grundlagen der Absorptionsspektroskopie und insbesondere der PAS. Zusätzlich werden für diese Arbeit relevante Messmethoden wie die Absorptionsspektroskopie nach Lambert-Beer, Cavity ring-down Spektroskopie (CRDS) und Wellenlängen-modulierte Spektroskopie (WMS) vorgestellt und ihre jeweiligen Vor- und Nachteile erörtert. Im Theoriekapitel wird zusätzlich die photoakustische Signalgenerierung, einschließlich der Signalverstärkung durch akustische Resonanzverstärkung, detailliert hergeleitet. Besonderes Augenmerk liegt auf der Diskussion des Einflusses der nicht-strahlenden Relaxation auf das photoakustische Signal, wobei die zwei dominanten Formen der stoßbasierten Energieübergänge, Schwingungs-Translation (VT) Relaxation und Schwingungs-Schwingungs (VV) Relaxation, intensiv betrachtet und diskutiert werden. Eine Literaturzusammenfassung rundet den theoretischen Teil ab, wobei der Fokus auf dem Einfluss der Relaxation auf das photoakustische Signal für verschiedene Analyten liegt. Neben der Charakterisierung der Laserquellen hinsichtlich der Emissionswellenzahl wird ein in die photoakustische Messzelle integriertes System (Acoustic Resonance Monitoring System - ARMS) präsentiert, welches eine schnelle Quantifizierung akustischer Parameter, wie Resonanzfrequenz und Q-Faktor ermöglicht. Im Ergebnisteil wird der photoakustische Methansensor auf Quereinflüsse gegenüber Sauerstoff, Luftfeuchte, Kohlenstoffdioxid sowie Messzellentemperatur und -druck hin evaluiert. Dabei wurden akustische und relaxationsbedingte Effekte als dominierende Einflussgrößen identifiziert. Die Abhängigkeit der photoakustischen Amplitude und Phase von der Effizienz der nicht-strahlenden Relaxation lässt sich mithilfe des entwickelten Algorithmus CoNRad berechnen und kompensieren, wodurch die Zuverlässigkeit der Sensoren gesteigert wird. Das Konzept des digitalen Zwillings kombiniert theoretische Berechnungen, ARMS-Messungen und die emittierte optische Laserleistung, um ein vollst¨andig theoretisch zu erwartendes photoakustisches Signal zu berechnen und gemessene Rohwerte für sämtliche Quereinflüsse zu kompensieren. Dieser Ansatz wurde in einer mehrtägigen Messreihe mit einem Referenzgerät zum atmosphärischen Methanmonitoring evaluiert. Die Ergebnisse verdeutlichen das Potenzial der PAS zur Spurengasdetektion in der Umgebungsluft, unterstreichen aber auch die Notwendigkeit des digitalen Zwillings zur Quereinflusskompensation. Messungen mit einem quartz-enhanced PAS Sensor zeigten ebenfalls relaxationsbedingte Signalveränderungen, die mithilfe der etablierten statistischen Methode der Partial Least Squares Regression (PLSR) und dem digitalen Zwilling kompensiert wurden. Mit beiden Ansätzen konnten vergleichbar gute Ergebnisse erzielt werden und den mittleren relativen Fehler der vorhergesagten Analytkonzentration auf den einstelligen Prozentbereich verringert werden. Darüber hinaus wurde eine Methode entwickelt, um spektrale Quereinflüsse in der Wellenlängen-modulierten PAS zu berechnen. Der Einfluss von spektralen Überlappungen auf das Messsignal wurde zusätzlich für Amplitudenmodulation untersucht. Zusammenfassend befasst sich diese Dissertation vorrangig mit der detaillierte Analyse von relaxationsbedingten, akustischen und spektralen Einflüssen auf das photoakustische Signal. Hierbei werden verschiedene innovative Ansätze zur Quantifizierung und Kompensation dieser Einflüsse präsentiert, mit dem übergeordneten Ziel, die Genauigkeit und Zuverlässigkeit photoakustischer Sensoren in langfristigen Feldanwendungen signifikant zu erhöhen. Die Erkenntnisse dieser Arbeit unterstreichen nicht nur das Potenzial der photoakustischen Spektroskopie zur präzisen Detektion von Spurengasen in der Umgebungsluft, sondern betonen auch die Notwendigkeit von Kompensat","url":"https://doi.org/10.5283/epub.58461","authors":["Müller, Max"],"tags":["Photoakustik, Spurengasanalyse, Schwingungsübergänge","540 Chemie"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5283/epub.58461","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2406.08854","name":"Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture","source":"datacite","abstract":"Digital Twins have gained attention in various industries for simulation, monitoring, and decision-making, relying on ever-improving machine learning models. However, agricultural Digital Twin implementations are limited compared to other industries. Meanwhile, machine learning, particularly reinforcement learning, has shown potential in agricultural applications like optimizing decision-making, task automation, and resource management. A key aspect of Digital Twins is representing physical assets or systems in a virtual environment, which aligns well with reinforcement learning's need for environment representations to learn the best policy for a task. Reinforcement learning in agriculture can thus enable various Digital Twin applications in agricultural domains. This review aims to categorize existing research employing reinforcement learning in agricultural settings by application domains like robotics, greenhouse management, irrigation systems, and crop management, identifying potential future areas for reinforcement learning-based Digital Twins. It also categorizes the reinforcement learning techniques used, including tabular methods, Deep Q-Networks (DQN), Policy Gradient methods, and Actor-Critic algorithms, to overview currently employed models. The review seeks to provide insights into the state-of-the-art in integrating Digital Twins and reinforcement learning in agriculture, identifying gaps and opportunities for future research, and exploring synergies to tackle agricultural challenges and optimize farming, paving the way for more efficient and sustainable farming methodologies.","url":"https://doi.org/10.48550/arxiv.2406.08854","authors":["Goldenits, Georg","Mallinger, Kevin","Raubitzek, Sebastian","Neubauer, Thomas"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.08854","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10722702","name":"Replicability and transparency in qualitative research. A pilot case study from Cultural Heritage","source":"datacite","abstract":"Although Arts and Humanities have not been swept by the “reproducibility crisis” as other disciplines have, reproducibility is a key concern for anybody doing research. When working with qualitative data, however, we usually talk about replicability, or the ability to arrive at the same findings by collecting new data, possibly with different methodologies. We present as case study the digital twin of the temporary exhibition “The Other Renaissance”, currently under development within the PNRR Project CHANGES - Spoke 4. The acquisition process – made particularly challenging by the high number of institutions involved, the size and nature of the objects, and the original exhibition setup – was preceded and aided by the establishment of shared workflows, with the real-time and simultaneous collection of processural metadata following a specific model. This same approach is being followed across all phases of the project: processing, modelling, optimization, export of the data and metadata in specific formats and upload of the 3D models to a web-based framework. Saving data and metadata in shared spaces provided transparency of processes and results and allowed for peer-review within the group. In hermeneutical fields, where multiple interpretations can coexist and the researchers’ methodological background play a central role, Open Science takes the form of transparency, through careful documentation of the research process, to test the robustness of the approach and allow for replication.","url":"https://doi.org/10.5281/zenodo.10722702","authors":["Gualandi, Bianca","Bordignon, Alice","Peroni, Silvio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10722702","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10722703","name":"Replicability and transparency in qualitative research. A pilot case study from Cultural Heritage","source":"datacite","abstract":"Although Arts and Humanities have not been swept by the “reproducibility crisis” as other disciplines have, reproducibility is a key concern for anybody doing research. When working with qualitative data, however, we usually talk about replicability, or the ability to arrive at the same findings by collecting new data, possibly with different methodologies. We present as case study the digital twin of the temporary exhibition “The Other Renaissance”, currently under development within the PNRR Project CHANGES - Spoke 4. The acquisition process – made particularly challenging by the high number of institutions involved, the size and nature of the objects, and the original exhibition setup – was preceded and aided by the establishment of shared workflows, with the real-time and simultaneous collection of processural metadata following a specific model. This same approach is being followed across all phases of the project: processing, modelling, optimization, export of the data and metadata in specific formats and upload of the 3D models to a web-based framework. Saving data and metadata in shared spaces provided transparency of processes and results and allowed for peer-review within the group. In hermeneutical fields, where multiple interpretations can coexist and the researchers’ methodological background play a central role, Open Science takes the form of transparency, through careful documentation of the research process, to test the robustness of the approach and allow for replication.","url":"https://doi.org/10.5281/zenodo.10722703","authors":["Gualandi, Bianca","Bordignon, Alice","Peroni, Silvio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10722703","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11563582","name":"Advancements in Numerical Control Machines","source":"datacite","abstract":"Numerical control (NC) machines have played a pivotal role in revolutionizing manufacturing processes, offering precise and automated control over machining operations. This paper provides a comprehensive review of advancements in numerical control machines, encompassing both hardware and software innovations. Key topics include multi-axis machining, additive manufacturing, and real-time monitoring systems. The review explores the evolution of NC technologies, from early punch card systems to modern computer numerical control (CNC) machines equipped with sophisticated control algorithms and sensor feedback mechanisms. Case studies demonstrate the diverse applications of NC machines in industries such as aerospace, automotive, and medical device manufacturing. The paper also discusses emerging trends, such as hybrid manufacturing and digital twin simulations. Highlighting their potential to further enhance the capabilities and versatility of numerical control machines. Overall, this review offers valuable insights for researchers, practitioners, and policymakers seeking to leverage NC technologies for advanced manufacturing applications.","url":"https://doi.org/10.5281/zenodo.11563582","authors":["A.D. Awasare"],"tags":["NC machines, control algorithms, versatility of numerical control, leverage NC technologies"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11563582","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.11563583","name":"Advancements in Numerical Control Machines","source":"datacite","abstract":"Numerical control (NC) machines have played a pivotal role in revolutionizing manufacturing processes, offering precise and automated control over machining operations. This paper provides a comprehensive review of advancements in numerical control machines, encompassing both hardware and software innovations. Key topics include multi-axis machining, additive manufacturing, and real-time monitoring systems. The review explores the evolution of NC technologies, from early punch card systems to modern computer numerical control (CNC) machines equipped with sophisticated control algorithms and sensor feedback mechanisms. Case studies demonstrate the diverse applications of NC machines in industries such as aerospace, automotive, and medical device manufacturing. The paper also discusses emerging trends, such as hybrid manufacturing and digital twin simulations. Highlighting their potential to further enhance the capabilities and versatility of numerical control machines. Overall, this review offers valuable insights for researchers, practitioners, and policymakers seeking to leverage NC technologies for advanced manufacturing applications.","url":"https://doi.org/10.5281/zenodo.11563583","authors":["A.D. Awasare"],"tags":["NC machines, control algorithms, versatility of numerical control, leverage NC technologies"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11563583","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.17863/cam.101866","name":"A Review on Constructing and Maintaining Geometric Digital Twins of Highways","source":"datacite","abstract":"The cost of constructing a rich digital twin of a road currently outweighs its benefits. This is the prevailing industry view even though a simple highway geometric digital twin has the potential to boost cost, time, quality, safety and sustainability performance. This paper presents a review of the current state of the art in practice and research in constructing and maintaining highway 6 digital twins, focusing on road infrastructure geometry and relationships. We calculate frequent highway assets for prioritisation and construct geometric digital twins in commercial software to estimate costs. We also highlight the limitations, identify gaps in knowledge and propose research directions.","url":"https://doi.org/10.17863/cam.101866","authors":["Davletshina, Diana","Brilakis, Ioannis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17863/cam.101866","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11487996","name":"Thinking Outside the Black Box: Insights from a Digital Exhibition in the Humanities","source":"datacite","abstract":"One of the main goals of Open Science is to make research more reproducible. There is no consensus, however, on what exactly “reproducibility” is, as opposed for example to “replicability”, and how it applies to different research fields. After a short review of the literature on reproducibility/replicability with a focus on the humanities, we describe how the creation of the digital twin of the temporary exhibition “The Other Renaissance” has been documented throughout, with different methods, but with constant attention to research transparency, openness and accountability. A careful documentation of the study design, data collection and analysis techniques helps reflect and make all possible influencing factors explicit, and is a fundamental tool for reliability and rigour and for opening the “black box” of research.","url":"https://doi.org/10.5281/zenodo.11487996","authors":["Barzaghi, Sebastian","Bordignon, Alice","Gualandi, Bianca","Peroni, Silvio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11487996","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11487997","name":"Thinking Outside the Black Box: Insights from a Digital Exhibition in the Humanities","source":"datacite","abstract":"One of the main goals of Open Science is to make research more reproducible. There is no consensus, however, on what exactly “reproducibility” is, as opposed for example to “replicability”, and how it applies to different research fields. After a short review of the literature on reproducibility/replicability with a focus on the humanities, we describe how the creation of the digital twin of the temporary exhibition “The Other Renaissance” has been documented throughout, with different methods, but with constant attention to research transparency, openness and accountability. A careful documentation of the study design, data collection and analysis techniques helps reflect and make all possible influencing factors explicit, and is a fundamental tool for reliability and rigour and for opening the “black box” of research.","url":"https://doi.org/10.5281/zenodo.11487997","authors":["Barzaghi, Sebastian","Bordignon, Alice","Gualandi, Bianca","Peroni, Silvio"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11487997","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2405.20916","name":"Unravelling the Use of Digital Twins to Assist Decision- and Policy-Making in Smart Cities","source":"datacite","abstract":"This short paper represents a systematic literature review that sets the basis for the future development of a framework for digital twin-based decision support in the public sector, specifically for the smart city domain. The final aim of the research is to model context-specific digital twins for aiding the decision-making processes in smart cities and devise methods for defining the policy agenda. Overall, this short paper provides a foundation, based on the main concepts from existing literature, for further research in the role and applications of urban digital twins to assist decision- and policy-making in smart cities. The existing literature analyses common applications of digital twins in smart city development with a focus on supporting decision- and policy-making. Future work will centre on developing a digital-twin-based sustainable smart city and defining different scenarios concerning challenges of good governance, especially so-called wicked problems, in smaller-scale urban and non-urban contexts.","url":"https://doi.org/10.48550/arxiv.2405.20916","authors":["Temple, Lucy","Pereira, Gabriela Viale","Klausner, Lukas Daniel"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.20916","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/frppb-qbr95","name":"Digital twin accelerating development of metallized film capacitor: Key issues, framework design and prospects","source":"datacite","abstract":"Metallized Film Capacitors (MFC) are vital devices in many important fields such as energy, transportation, and aviation, whilst Digital Twin (DT) technology opens a new channel to leverage existing data resources of metallized film capacitors. This paper review current knowledge about metallized film capacitors and digital twin, list the key issues, propose frameworks, and provide the outlook to clarify the potential of digital twin's application in metallized film capacitors. First, based on the development history and research status of metallized film capacitors, this review sorts out the key research issues of data utilization. Then, the connotation and typical characteristics of the digital twin definition are combed and refined, and the typical architecture of digital twin implementation is presented. Furthermore, the overall application architecture of digital twin in metallized film capacitors is constructed, and the technology system of each application scenario and the role of digital twin are analyzed. Finally, the main challenges in the application of the digital twin in metallized film capacitors and the future development directions are discussed. This review promotes the performance improvement, cost reduction and application expansion of metallized film capacitors, which can be used as a guide for the application of digital twin in other power equipment of energy system.","url":"https://doi.org/10.60692/frppb-qbr95","authors":["Yongxin Zhang","Qingxiang Feng","Shao‐Long Zhong","Jia‐Yao Pei","Fang‐Yi Chen","Guannan He","Zhi‐Min Dang"],"tags":["Atomic Layer Deposition Technology","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Three-Dimensional Integrated Circuits","Ferroelectric Devices for Low-Power Nanoscale Applications","Metal Gate Transistors"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/frppb-qbr95","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/zt5p3-z8022","name":"Digital twin accelerating development of metallized film capacitor: Key issues, framework design and prospects","source":"datacite","abstract":"Metallized Film Capacitors (MFC) are vital devices in many important fields such as energy, transportation, and aviation, whilst Digital Twin (DT) technology opens a new channel to leverage existing data resources of metallized film capacitors. This paper review current knowledge about metallized film capacitors and digital twin, list the key issues, propose frameworks, and provide the outlook to clarify the potential of digital twin's application in metallized film capacitors. First, based on the development history and research status of metallized film capacitors, this review sorts out the key research issues of data utilization. Then, the connotation and typical characteristics of the digital twin definition are combed and refined, and the typical architecture of digital twin implementation is presented. Furthermore, the overall application architecture of digital twin in metallized film capacitors is constructed, and the technology system of each application scenario and the role of digital twin are analyzed. Finally, the main challenges in the application of the digital twin in metallized film capacitors and the future development directions are discussed. This review promotes the performance improvement, cost reduction and application expansion of metallized film capacitors, which can be used as a guide for the application of digital twin in other power equipment of energy system.","url":"https://doi.org/10.60692/zt5p3-z8022","authors":["Yongxin Zhang","Qingxiang Feng","Shao‐Long Zhong","Jia‐Yao Pei","Fang‐Yi Chen","Guannan He","Zhi‐Min Dang"],"tags":["Atomic Layer Deposition Technology","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Three-Dimensional Integrated Circuits","Ferroelectric Devices for Low-Power Nanoscale Applications","Metal Gate Transistors"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/zt5p3-z8022","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/3815y-pe786","name":"Shaping future low-carbon energy and transportation systems: Digital technologies and applications","source":"datacite","abstract":"Digitalization and decarbonization are projected to be two major trends in the coming decades.As the already widespread process of digitalization continues to progress, especially in energy and transportation systems, massive data will be produced, and how these data could support and promote decarbonization has become a pressing concern.This paper presents a comprehensive review of digital technologies and their potential applications in low-carbon energy and transportation systems from the perspectives of infrastructure, common mechanisms and algorithms, and system-level impacts, as well as the application of digital technologies to coupled energy and transportation systems with electric vehicles.This paper also identifies corresponding challenges and future research directions, such as in the field of blockchain, digital twin, vehicle-to-grid, low-carbon computing, and data security and privacy, especially in the context of integrated energy and transportation systems.","url":"https://doi.org/10.60692/3815y-pe786","authors":["Jie Song","Guannan He","Jianxiao Wang","Pingwen Zhang"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Integration of Electric Vehicles in Power Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/3815y-pe786","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/mtgeb-vxe55","name":"Shaping future low-carbon energy and transportation systems: Digital technologies and applications","source":"datacite","abstract":"Digitalization and decarbonization are projected to be two major trends in the coming decades.As the already widespread process of digitalization continues to progress, especially in energy and transportation systems, massive data will be produced, and how these data could support and promote decarbonization has become a pressing concern.This paper presents a comprehensive review of digital technologies and their potential applications in low-carbon energy and transportation systems from the perspectives of infrastructure, common mechanisms and algorithms, and system-level impacts, as well as the application of digital technologies to coupled energy and transportation systems with electric vehicles.This paper also identifies corresponding challenges and future research directions, such as in the field of blockchain, digital twin, vehicle-to-grid, low-carbon computing, and data security and privacy, especially in the context of integrated energy and transportation systems.","url":"https://doi.org/10.60692/mtgeb-vxe55","authors":["Jie Song","Guannan He","Jianxiao Wang","Pingwen Zhang"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Integration of Electric Vehicles in Power Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/mtgeb-vxe55","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2402.00325","name":"Using digital twins for managing change in complex projects","source":"datacite","abstract":"Complex systems are not entirely decomposable, hence interdependences arise at the interfaces in complex projects. When changes occur, significant risks arise at these interfaces as it is hard to identify, manage and visualise the systemic consequences of changes. Particularly problematic are the interfaces in which there are multiple interdependencies, which occur where the boundaries between design components, contracts and organisation coincide, such as between design disciplines. In this paper, we propose an approach to digital twin-based interface management, through an underpinning state-of-the-art review of the existing technical literature and a small pilot to identify the characteristics of future data-driven solutions. We set out an approach to digital twin-based interface management and an agenda for research on advanced methodologies for managing change in complex projects. This agenda includes the need to integrate work on identifying systems interfaces, change propagation and visualisation, and the potential to significantly extend the limitations of existing solutions by using developments in the digital twin, such as linked data, semantic enrichment, network analyses, natural language processing (NLP)-enhanced ontology and machine learning.","url":"https://doi.org/10.48550/arxiv.2402.00325","authors":["Whyte, Jennifer","Soman, Ranjith","Sacks, Rafael","Mohammadi, Neda","Naderpajouh, Nader","Hong, Wei-Ting","Lee, Ghang"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2402.00325","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/1sn6y-zan39","name":"Resilience towarded Digital Twins to improve the adaptability of transportation systems","source":"datacite","abstract":"This work aims to investigate the role of the resilience of Digital Twins on the applicability of the transportation system. A literature study is conducted to review the current status of research on transportation systems and Digital Twins. It is found that the current research on Digital Twins technology has achieved different degrees of success in different aspects of transportation systems. Yet, the system performance of Digital Twins has to be optimized. First, the application of Digital Twins in intelligent transportation systems is analyzed. Then, how the changes in traveler behavior patterns reflect the extent to which the traffic network is affected by uncertain events is analyzed from the traveler's perspective. Finally, an Internet of Vehicles (IoV) system based on Digital Twins and blockchain is established to solve the data redundancy and high computational volume problems of in-vehicle data sharing common in the IoV system. Moreover, the performance of the twin system is optimized by proposing a multi-intelligence body algorithm based on local perception, and a case validation is performed. The results demonstrate that the adaptability of the transportation system to uncertain events and its response and recovery measures taken are reflected to some extent in the traveler behavior model. Besides, data sharing between vehicles and infrastructure in the transportation network can be well solved by Digital Twins Blockchain. The locally-aware multi-intelligent body algorithm saves more than 50% communication overhead and improves operational efficiency by nearly 20% over traditional algorithms by increasing intelligent body infrastructure units. It is adequately suited for large-scale vehicle traffic twins. It can be seen that improving the resilience of Digital Twins is a very obvious change in the adaptability of the traffic system.","url":"https://doi.org/10.60692/1sn6y-zan39","authors":["Hailin Feng","Haibin Lv","Zhihan Lv"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Privacy-Preserving Techniques for Data Analysis and Machine Learning","Artificial Intelligence","Traffic Flow Prediction and Forecasting"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/1sn6y-zan39","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60692/349fe-11665","name":"Resilience towarded Digital Twins to improve the adaptability of transportation systems","source":"datacite","abstract":"This work aims to investigate the role of the resilience of Digital Twins on the applicability of the transportation system. A literature study is conducted to review the current status of research on transportation systems and Digital Twins. It is found that the current research on Digital Twins technology has achieved different degrees of success in different aspects of transportation systems. Yet, the system performance of Digital Twins has to be optimized. First, the application of Digital Twins in intelligent transportation systems is analyzed. Then, how the changes in traveler behavior patterns reflect the extent to which the traffic network is affected by uncertain events is analyzed from the traveler's perspective. Finally, an Internet of Vehicles (IoV) system based on Digital Twins and blockchain is established to solve the data redundancy and high computational volume problems of in-vehicle data sharing common in the IoV system. Moreover, the performance of the twin system is optimized by proposing a multi-intelligence body algorithm based on local perception, and a case validation is performed. The results demonstrate that the adaptability of the transportation system to uncertain events and its response and recovery measures taken are reflected to some extent in the traveler behavior model. Besides, data sharing between vehicles and infrastructure in the transportation network can be well solved by Digital Twins Blockchain. The locally-aware multi-intelligent body algorithm saves more than 50% communication overhead and improves operational efficiency by nearly 20% over traditional algorithms by increasing intelligent body infrastructure units. It is adequately suited for large-scale vehicle traffic twins. It can be seen that improving the resilience of Digital Twins is a very obvious change in the adaptability of the traffic system.","url":"https://doi.org/10.60692/349fe-11665","authors":["Hailin Feng","Haibin Lv","Zhihan Lv"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Privacy-Preserving Techniques for Data Analysis and Machine Learning","Artificial Intelligence","Traffic Flow Prediction and Forecasting"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/349fe-11665","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2405.15832","name":"DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs","source":"datacite","abstract":"The integration of predictive maintenance and cybersecurity represents a transformative advancement for small and medium-sized enterprises (SMEs) operating within the Industry 4.0 paradigm. Despite their economic importance, SMEs often face significant challenges in adopting advanced technologies due to resource constraints and knowledge gaps. The DETECTA 2.0 project addresses these hurdles by developing an innovative system that harmonizes real-time anomaly detection, sophisticated analytics, and predictive forecasting capabilities. The system employs a semi-supervised methodology, combining unsupervised anomaly detection with supervised learning techniques. This approach enables more agile and cost-effective development of AI detection systems, significantly reducing the time required for manual case review. At the core lies a Digital Twin interface, providing intuitive real-time visualizations of machine states and detected anomalies. Leveraging cutting-edge AI engines, the system intelligently categorizes anomalies based on observed patterns, differentiating between technical errors and potential cybersecurity incidents. This discernment is fortified by detailed analytics, including certainty levels that enhance alert reliability and minimize false positives. The predictive engine uses advanced time series algorithms like N-HiTS to forecast future machine utilization trends. This proactive approach optimizes maintenance planning, enhances cybersecurity measures, and minimizes unplanned downtimes despite variable production processes. With its modular architecture enabling seamless integration across industrial setups and low implementation costs, DETECTA 2.0 presents an attractive solution for SMEs to strengthen their predictive maintenance and cybersecurity strategies.","url":"https://doi.org/10.48550/arxiv.2405.15832","authors":["Huertas-García, Álvaro","Muñoz, Javier","Ambite, Enrique De Miguel","Camarmas, Marcos Avilés","Ovejero, José Félix"],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.15832","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11278970","name":"DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs","source":"datacite","abstract":"The integration of predictive maintenance and cybersecurity represents a transformative advancement for small and medium-sized enterprises (SMEs) operating within the Industry 4.0 paradigm. Despite their economic importance, SMEs often face significant challenges in adopting advanced technologies due to resource constraints and knowledge gaps. The DETECTA 2.0 project addresses these hurdles by developing an innovative system that harmonizes real-time anomaly detection, sophisticated analytics, and predictive forecasting capabilities. The system employs a semi-supervised methodology, combining unsupervised anomaly detection with supervised learning techniques. This approach enables more agile and cost-effective development of AI detection systems, significantly reducing the time required for manual case review. At the core lies a Digital Twin interface, providing intuitive real-time visualizations of machine states and detected anomalies. Leveraging cutting-edge AI engines, the system intelligently categorizes anomalies based on observed patterns, differentiating between technical errors and potential cybersecurity incidents. This discernment is fortified by detailed analytics, including certainty levels that enhance alert reliability and minimize false positives. The predictive engine uses advanced time series algorithms like N-HiTS to forecast future machine utilization trends. This proactive approach optimizes maintenance planning, enhances cybersecurity measures, and minimizes unplanned downtimes despite variable production processes. With its modular architecture enabling seamless integration across industrial setups and low implementation costs, DETECTA 2.0 presents an attractive solution for SMEs to strengthen their predictive maintenance and cybersecurity strategies.","url":"https://doi.org/10.5281/zenodo.11278970","authors":["Huertas-García, Álvaro","Muñoz, Javier","De Miguel Ambite, Enrique","Avilés Camarmas, Marcos","Ovejero, José Félix"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11278970","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11278969","name":"DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs","source":"datacite","abstract":"The integration of predictive maintenance and cybersecurity represents a transformative advancement for small and medium-sized enterprises (SMEs) operating within the Industry 4.0 paradigm. Despite their economic importance, SMEs often face significant challenges in adopting advanced technologies due to resource constraints and knowledge gaps. The DETECTA 2.0 project addresses these hurdles by developing an innovative system that harmonizes real-time anomaly detection, sophisticated analytics, and predictive forecasting capabilities. The system employs a semi-supervised methodology, combining unsupervised anomaly detection with supervised learning techniques. This approach enables more agile and cost-effective development of AI detection systems, significantly reducing the time required for manual case review. At the core lies a Digital Twin interface, providing intuitive real-time visualizations of machine states and detected anomalies. Leveraging cutting-edge AI engines, the system intelligently categorizes anomalies based on observed patterns, differentiating between technical errors and potential cybersecurity incidents. This discernment is fortified by detailed analytics, including certainty levels that enhance alert reliability and minimize false positives. The predictive engine uses advanced time series algorithms like N-HiTS to forecast future machine utilization trends. This proactive approach optimizes maintenance planning, enhances cybersecurity measures, and minimizes unplanned downtimes despite variable production processes. With its modular architecture enabling seamless integration across industrial setups and low implementation costs, DETECTA 2.0 presents an attractive solution for SMEs to strengthen their predictive maintenance and cybersecurity strategies.","url":"https://doi.org/10.5281/zenodo.11278969","authors":["Huertas-García, Álvaro","Muñoz, Javier","De Miguel Ambite, Enrique","Avilés Camarmas, Marcos","Ovejero, José Félix"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11278969","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.34632/mclawreview.2024.16037","name":"Manipulation into unsustainable consumer choices as exploitative abuse of dominance","source":"datacite","abstract":"This article oscillates around the intersection of sustainability and digital platforms, which is an increasingly important and complex area of study in which digital platforms can have both a positive and a negative influence. The interaction between sustainability and digital platforms is crucial at a time when the EU is promoting the twin transition in its economy, a process that entails focusing on both environmental sustainability and digitalization. Online users should have a chance to buy sustainable products and services through digital platforms. However, environmental issues are becoming more and more pressing, and users are more willing to, among others, compensate for their flight emissions, to buy organic food and to ensure the protection of endangered species. The following question arises: who is responsible for ensuring the sustainability of the products and services that are offered online? Is it consumers, who often feel that they want to be environmentally friendly but choose cheaper products over sustainable ones out of habit? Or is it the government and the EU, which are promoting the twin transition in the first place? I argue that these responsibilities could be allocated through competition law. In particular, the article focuses on the possible manipulation of consumers into overconsumption or the purchase of unsustainable products and services, which could be classified as exploitative abuse of dominance. Consumer welfare (i.e., the well-being of consumers) would be enhanced if consumers could buy more sustainable goods and services or if they were not manipulated into overconsumption. Such a development would cohere with the recent attempts to broaden competition law into non-pricerelated goals that respond to societal needs for transformation (here, the sustainability transition in the face of the environmental crisis). This article is intended to answer the following question: how can different kinds of manipulation into the purchase of unsustainable products and services or overspending be classified as decreasing consumer welfare and, consequently, as exploitative abuses of dominance under EU competition law? For example, digital platforms often nudge consumers into specific behaviours that may not be in their best interests.","url":"https://doi.org/10.34632/mclawreview.2024.16037","authors":["Mäihäniemi, Beata"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.34632/mclawreview.2024.16037","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.60797/irj.2024.143.142","name":"Модель перехода к оптимальной структуре ремонта как этап интеграции в систему «цифрового ремонта» пассажирского вагона на эксплуатационном этапе жизненного цикла","source":"datacite","abstract":"Формирование «цифрового двойника» объекта или процесса является важным этапом перехода его в цифровую трансформацию, в том числе как объекта промышленного предприятия. В данной статье рассмотрен вопрос применения технологии «цифровой двойник» в процессе ремонта пассажирского вагона по его техническому состоянию или достижению запланированного ресурса. Вопрос применения «цифровых двойников» физических объектов, процессов и операционных решений в последнее время становится все более актуальным. Целью исследования является рассмотрение применения процесса цифровизации при ремонте пассажирского подвижного состава как самого объекта (вагона), так и выполнения ему регламентных технологических операций. По результатам переноса фактических технологических операций в цифровую структуру устанавливаются процессы, попадающие под оптимизацию и увеличивающие итоговый экономический и производственный эффект. По результатам проведенного исследования разработан типовой алгоритм организации проведения ремонта пассажирского вагона с использованием цифровых решений, что, в сравнении с классическим подходом, позволяют повысить эффективность, безотказность и надежности пассажирского вагона при его дальнейшем использовании, увеличить количество отремонтированных вагонов, а также значительно снизить влияние человеческого фактора при ремонте и техническом обслуживании, в первую очередь, новых моделей пассажирского сегмента.","url":"https://doi.org/10.60797/irj.2024.143.142","authors":["Шинкарук, Андрей"],"tags":["railway transport","digitalization","\"digital twin\"","passenger car","reliability","fail-safety","concept","железнодорожный транспорт"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60797/irj.2024.143.142","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.26083/tuprints-00027168","name":"A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems","source":"datacite","abstract":"Digital Twins offer vast potential, yet many companies, particularly small and medium-sized enterprises, hesitate to implement them. This hesitation stems partly from the challenges posed by the interdisciplinary nature of creating Digital Twins. To address these challenges, this paper explores systematic approaches for the development and creation of Digital Twins, drawing on relevant methods and approaches presented in the literature. Conducting a systematic literature review, we delve into the development of Digital Twins while also considering analogous concepts, such as Cyber-Physical Systems and Product-Service Systems. The compiled literature is categorised into three main sections: holistic approaches, architecture, and models. Each category encompasses various subcategories, all of which are detailed in this paper. Through this comprehensive review, we discuss the findings and identify research gaps, shedding light on the current state of knowledge in the field of Digital Twin development. This paper aims to provide valuable insights for practitioners and researchers alike, guiding them in navigating the complexities associated with the implementation of Digital Twins.","url":"https://doi.org/10.26083/tuprints-00027168","authors":["Fett, Michel","Wilking, Fabian","Goetz, Stefan","Kirchner, Eckhard","Wartzack, Sandro"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.26083/tuprints-00027168","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17877/de290r-24306","name":"Digital Twin, Microclimate Simulations, and Dynamic Visualization of the Central Library of TU Dortmund University","source":"datacite","abstract":"The term Digital Twin essentially describes the creation of a virtual replica and its net- working with its real physical counterpart. In the context of the digitization efforts of municipalities, the term is now increasingly being used in the context of spatial planning. There, great potential can be assumed, especially against the backdrop of the advancing climate change, for example with regard to the simulation and visualization of climate impacts in urban spaces. Even if this potential seems to be clearly outlined, at least on paper, it is still unclear how this potential can be leveraged in practice. Also unclear is the positive contribution that can be expected from the high spatial detail of digital building models to the accuracy of often coarsely modeled climate simulations. Therefore, this study aims to identify the application potential of Digital Twins of buildings in the context of spatial planning by means of a literature review and to iden- tify possibilities of combining the process of Digital Twin creation with microclimate simulations in an explorative case study using the example of the Central University Li- brary of the TU Dortmund. One focus of the work is the dynamic visualization of the Digital Twin and the climate simulation results. To this end, a unified conceptual under- standing of Digital Twins will be established and practical examples of how the term is understood and its potential applications will be presented. Subsequently, the work pro- cess from the creation of a laser scan-based, detailed 3D building model to the execution of various microclimate simulations and dynamic visualization possibilities of the Digital Twin is presented. The discussion of practical examples of Digital Twins in spatial planning showed that their practical application is still in an early stage. It also became clear that the under- standing of the term Digital Twin in practice and research often differs and that in many practical cases, including the results of this work, the term Digital Shadow should rather be used. As for the microclimate simulations, the effects of three variations of the model- ing on the simulation results could be illuminated. According to this, the size of the study area, but also the spatial resolution of the whole model seem to have a low influence on the results, while the influence of the LoD could not be clearly clarified. Finally, several tools for dynamic visualization of the results could be successfully applied in the context of the work. However, it became clear that their application requires certain technical knowledge (e.g. programming languages), which in turn may deter many spatial planners from using them.","url":"https://doi.org/10.17877/de290r-24306","authors":["Kirsten, Jens","Pham, Nhat Anh","Range, Leonard-Louis","Schröer, Kai","Wickert, Konstantin","Winter, Nadine"],"tags":["710"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17877/de290r-24306","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-4310","name":"Здание бизнес-центра высотой 115 м с подземной автостоянкой","source":"datacite","abstract":"В работе представлена проектная документация на строительство 28-этажного здания бизнес-центра высотой 115 м с двухуровневой подземной автостоянкой. Целью исследовательской части данного проекта является расчет экономии трудовых ресурсов при использовании технологии цифрового двойника здания. Для достижения поставленной цели были решены следующие задачи: 1. обзор литературы: a. оценка преимуществ использования информационной модели здания на стадии эксплуатации; b. обзор рынка эксплуатации зданий; с. исследование использования цифрового двойника для эксплуатации зданий; 3. выявление необходимости сканирования здания на этапе созданий цифрового двойника; a. оценка отклонений модели системы вентиляции от проектного положения на примере существующего зданий отеля; 4. проработка уровня модели здания; 5. сравнение решений для созданий цифрового двойника; 6. расчет экономии трудовых ресурсов при использовании технологии Digital Twin Исследование проведено методом анализа нормативной литературы, современных научных публикаций и проектных решений реализованных объектов. В результате работы выявлены преимущества использования технологии цифрового двойника. Был произведен расчет экономии трудовых ресурсов при использовании технологии. По ряду критериев было проведено сравнение компаний, реализующих технологию. Внесены изменения в уровень модели здания в качестве подготовки модели к созданию цифрового двойника.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-4310","authors":["Чумакова, Екатерина"],"tags":["бизнес-центр","цифровой двойник","эксплуатация здания","уровень модели здания","business center","digital-twin","building operation","building model level"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18720/spbpu/3/2023/vr/vr23-4310","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11060484","name":"A Structured Review on the Human Digital Twin (until March 2024)","source":"datacite","abstract":"This bibliography is related to the paper \"Perspectives-Observer-Transparency - Structured Review of the Human Digital Twin and Novel Paradigm for Modelling the Human in Human-To-Anything Interaction\" by Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, and Lars Mikelsons, currently under submission to the IEEE International Conference on Systems, Man, and Cybernetics as of April 2024. The references are collected as part of a structured literature review on modelling approaches for humans and artificial agents and the perspectives taken on them. Particular interest lays on the (Human) Digital Twin which proved to be a relatively nascent approach that quickly gained interest at the time of writing. Please refer to the publication for a more detailed description of the review method. The conference paper DOI will be provided to Zenodo upon publication. For updates, additional context, or inquiries, please contact Alexander Atanasyan [Atanasyan@mmi.rwth-aachen.de] or Nils Mandischer [nils.mandischer@uni-a.de].","url":"https://doi.org/10.5281/zenodo.11060484","authors":["Atanasyan, Alexander","Mandischer, Nils"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11060484","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.11060485","name":"A Structured Review on the Human Digital Twin (until March 2024)","source":"datacite","abstract":"This bibliography is related to the paper \"Perspectives-Observer-Transparency - Structured Review of the Human Digital Twin and Novel Paradigm for Modelling the Human in Human-To-Anything Interaction\" by Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, and Lars Mikelsons, currently under submission to the IEEE International Conference on Systems, Man, and Cybernetics as of April 2024. The references are collected as part of a structured literature review on modelling approaches for humans and artificial agents and the perspectives taken on them. Particular interest lays on the (Human) Digital Twin which proved to be a relatively nascent approach that quickly gained interest at the time of writing. Please refer to the publication for a more detailed description of the review method. The conference paper DOI will be provided to Zenodo upon publication. For updates, additional context, or inquiries, please contact Alexander Atanasyan [Atanasyan@mmi.rwth-aachen.de] or Nils Mandischer [nils.mandischer@uni-a.de].","url":"https://doi.org/10.5281/zenodo.11060485","authors":["Atanasyan, Alexander","Mandischer, Nils"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11060485","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2404.14635","name":"Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment","source":"datacite","abstract":"Prediction and optimisation are two widely used techniques that have found many applications in solving real-world problems. While prediction is concerned with estimating the unknown future values of a variable, optimisation is concerned with optimising the decision given all the available data. These methods are used together to solve problems for sequential decision-making where often we need to predict the future values of variables and then use them for determining the optimal decisions. This paradigm is known as forecast and optimise and has numerous applications, e.g., forecast demand for a product and then optimise inventory, forecast energy demand and schedule generations, forecast demand for a service and schedule staff, to name a few. In this extended abstract, we review a digital twin that was developed and applied in wastewater treatment in Urban Utility to improve their operational efficiency. While the current study is tailored to the case study problem, the underlying principles can be used to solve similar problems in other domains.","url":"https://doi.org/10.48550/arxiv.2404.14635","authors":["Colwell, Matthew","Abolghasemi, Mahdi"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.14635","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2308.01941","name":"Digital twin brain: a bridge between biological intelligence and artificial intelligence","source":"datacite","abstract":"In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities for understanding the complexity of the brain and its emulation by computational systems. Cutting-edge advancements in neuroscience research have revealed the intricate relationship between brain structure and function, while the success of artificial neural networks highlights the importance of network architecture. Now is the time to bring them together to better unravel how intelligence emerges from the brain's multiscale repositories. In this review, we propose the Digital Twin Brain (DTB) as a transformative platform that bridges the gap between biological and artificial intelligence. It consists of three core elements: the brain structure that is fundamental to the twinning process, bottom-layer models to generate brain functions, and its wide spectrum of applications. Crucially, brain atlases provide a vital constraint, preserving the brain's network organization within the DTB. Furthermore, we highlight open questions that invite joint efforts from interdisciplinary fields and emphasize the far-reaching implications of the DTB. The DTB can offer unprecedented insights into the emergence of intelligence and neurological disorders, which holds tremendous promise for advancing our understanding of both biological and artificial intelligence, and ultimately propelling the development of artificial general intelligence and facilitating precision mental healthcare.","url":"https://doi.org/10.48550/arxiv.2308.01941","authors":["Xiong, Hui","Chu, Congying","Fan, Lingzhong","Song, Ming","Zhang, Jiaqi","Ma, Yawei","Zheng, Ruonan","Zhang, Junyang","Yang, Zhengyi","Jiang, Tianzi"],"tags":["Neurons and Cognition (q-bio.NC)","Artificial Intelligence (cs.AI)","Neural and Evolutionary Computing (cs.NE)","FOS: Biological sciences","FOS: Biological sciences","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.01941","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10907436","name":"ASHVIN Use Case - Risk-Based Status Assessment Use Case With Key Performance Indicators Dashboard","source":"datacite","abstract":"This use case is drafted within the framework of the ASHVIN project, funded by the European Union, to develop a novel system based on digital twin technologies to support the design engineering, construction, and maintenance phases of projects in the construction sector. This document provides background and describes a use case of interactively review and utilise specific outputs of the risk assessment and the consequence modelling in risk analysis to choose the optimal maintenance scenario for the maintenance of the asset using asset management key performance indicators. The ASHVIN system comprises 10 smart building applications, and this use case is related to the RISA tool (full name: Risk-based status assessment tool with KPI dashboard). The ASHVIN toolkit was demonstrated across 10 European demonstration sites, and this use case is related to the demo site #3 Airport runway in Croatia. This document reflects only the author’s view, and the European Commission is not responsible for using the information it contains.","url":"https://doi.org/10.5281/zenodo.10907436","authors":["Kennedy, Mary Lidiya","Senturk, Eser"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10907436","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10907437","name":"ASHVIN Use Case - Risk-Based Status Assessment Use Case With Key Performance Indicators Dashboard","source":"datacite","abstract":"This use case is drafted within the framework of the ASHVIN project, funded by the European Union, to develop a novel system based on digital twin technologies to support the design engineering, construction, and maintenance phases of projects in the construction sector. This document provides background and describes a use case of interactively review and utilise specific outputs of the risk assessment and the consequence modelling in risk analysis to choose the optimal maintenance scenario for the maintenance of the asset using asset management key performance indicators. The ASHVIN system comprises 10 smart building applications, and this use case is related to the RISA tool (full name: Risk-based status assessment tool with KPI dashboard). The ASHVIN toolkit was demonstrated across 10 European demonstration sites, and this use case is related to the demo site #3 Airport runway in Croatia. This document reflects only the author’s view, and the European Commission is not responsible for using the information it contains.","url":"https://doi.org/10.5281/zenodo.10907437","authors":["Kennedy, Mary Lidiya","Senturk, Eser"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10907437","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10809848","name":"D9.14 – Report on standardisation outcomes promotion efforts v1","source":"datacite","abstract":"The COGITO deliverable D9.14 “Report on standardisation outcomes promotion efforts” reports on the work related to standardisation that has been carried out in the second year of the COGITO project in the context of Task 9.4. The goal of this task is to promote COGITO standardisation proposals to different standardisation bodies, committees, and working groups. To do so, the most relevant and impacting bodies are being identified and contacts are being made to collect feedback on their future plans and interest in the COGITO standardisation contributions. The roadmap for the second year of the project included the conduction of three surveys: one to review the partners’ current participation or willingness to participate in the standardisation efforts, another one to gather the standards being used throughout the project and a third one to evaluate what COGITO results could be promoted to standardisation. The deliverable presents the outcome of these surveys as well as two standardisation contributions already prepared, namely a) a digital twin use case contribution to the - currently under development - document ISO/IEC WD 30172 (Digital Twin - Use cases) in ISO/IEC JTC 1/SC 41 (Internet of Things and Digital Twin) and b) the digitalised construction geometric specification rules defined in the project that could be of interest for standardisation. The deliverable also reports on other standardisation-related activities performed by members of the consortium, sometimes in collaboration with other sister projects: participation in working groups and workshops, writing of whitepapers and submission of a proposal for the HSbooster.eu 1st Open Call. Finally, the deliverable presents a self-assessment of the project in terms of standardisation, based on a set of recommendations on the practice of standardisation focused on both researchers working in projects and on the indicators used to assess standardization practices. These recommendations for indicators have led the project to update the standardisation indicators that were defined in the proposal to include a richer set of qualitative and quantitative indicators that better reflect the work being performed in the project. The deliverable concludes with the definition of a standardisation roadmap for the third year of the project. The roadmap focuses on continuing the identification of potential project outcomes that could be promoted to standardisation (the consortium will organise a workshop focused on this), the preparation of these contributions for submission to the various corresponding standardisation initiatives and the organization of a standardisation workshop to present these results to relevant standardisation stakeholders. A second version of this deliverable, updated with the standardisation work carried out during the third year of the project is planned to be delivered by the end of the project.","url":"https://doi.org/10.5281/zenodo.10809848","authors":["García-Castro, Raúl","Lilis, Georgios","Katsigarakis, Kyriakos","Teizer, Jochen","Bosché, Frédéric","Robertson, Gail","Mikołajczyk, Agnieszka","Wilczyński, Łukasz","Hanel, Tobias","Meusburguer, Elias"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10809848","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10809847","name":"D9.14 – Report on standardisation outcomes promotion efforts v1","source":"datacite","abstract":"The COGITO deliverable D9.14 “Report on standardisation outcomes promotion efforts” reports on the work related to standardisation that has been carried out in the second year of the COGITO project in the context of Task 9.4. The goal of this task is to promote COGITO standardisation proposals to different standardisation bodies, committees, and working groups. To do so, the most relevant and impacting bodies are being identified and contacts are being made to collect feedback on their future plans and interest in the COGITO standardisation contributions. The roadmap for the second year of the project included the conduction of three surveys: one to review the partners’ current participation or willingness to participate in the standardisation efforts, another one to gather the standards being used throughout the project and a third one to evaluate what COGITO results could be promoted to standardisation. The deliverable presents the outcome of these surveys as well as two standardisation contributions already prepared, namely a) a digital twin use case contribution to the - currently under development - document ISO/IEC WD 30172 (Digital Twin - Use cases) in ISO/IEC JTC 1/SC 41 (Internet of Things and Digital Twin) and b) the digitalised construction geometric specification rules defined in the project that could be of interest for standardisation. The deliverable also reports on other standardisation-related activities performed by members of the consortium, sometimes in collaboration with other sister projects: participation in working groups and workshops, writing of whitepapers and submission of a proposal for the HSbooster.eu 1st Open Call. Finally, the deliverable presents a self-assessment of the project in terms of standardisation, based on a set of recommendations on the practice of standardisation focused on both researchers working in projects and on the indicators used to assess standardization practices. These recommendations for indicators have led the project to update the standardisation indicators that were defined in the proposal to include a richer set of qualitative and quantitative indicators that better reflect the work being performed in the project. The deliverable concludes with the definition of a standardisation roadmap for the third year of the project. The roadmap focuses on continuing the identification of potential project outcomes that could be promoted to standardisation (the consortium will organise a workshop focused on this), the preparation of these contributions for submission to the various corresponding standardisation initiatives and the organization of a standardisation workshop to present these results to relevant standardisation stakeholders. A second version of this deliverable, updated with the standardisation work carried out during the third year of the project is planned to be delivered by the end of the project.","url":"https://doi.org/10.5281/zenodo.10809847","authors":["García-Castro, Raúl","Lilis, Georgios","Katsigarakis, Kyriakos","Teizer, Jochen","Bosché, Frédéric","Robertson, Gail","Mikołajczyk, Agnieszka","Wilczyński, Łukasz","Hanel, Tobias","Meusburguer, Elias"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10809847","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.7548017","name":"Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review","source":"datacite","abstract":"This database contains all the bibliographic information about the 8673 records found after applying the Search Strategy used for the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review. Such strategy consisted on using seven initial keywords and similar terms of interest (namely: bridge and bridges, etc.): Bridge. Digital twin. Bridge information modelling. Finite elements. Bridge health monitoring. Anomaly detection algorithm. Cultural heritage. Six initial queries were done combining the first keyword with the rest of them: bridge* AND \"digital twin*\" bridge* AND (BrIM OR \"bridge information model*\") bridge* AND (FEM OR FEA OR \"finite element method*\" OR \"finite element analy*\") bridge* AND (\"bridge health monitoring\" OR \"structural health monitoring\") bridge* AND (ADA OR \"anomaly detection algorithm*\") bridge* AND (\"cultural heritage\" OR \"monument* bridge*\" OR \"old bridge*\" OR \"ancient bridge*\" OR \"historic* bridge*\") As a first screening step, the combination of these 6 initial searches was done to obtain relevant works containing at least three of the main keywords of interest: #1 AND #2 #1 AND #3 #1 AND #4 #1 AND #5 #1 AND #6 #2 AND #3 #2 AND #4 #2 AND #5 #2 AND #6 #3 AND #4 #3 AND #5 #3 AND #6 #4 AND #5 #4 AND #6 #5 AND #6 All records found in Scopus where downloaded both in .ris and .csv format and are included in this database. The search was conducted on 10/12/2022. Note: Searches 10, 14, 17 and 21 did not return any records.","url":"https://doi.org/10.5281/zenodo.7548017","authors":["Jiménez Rios, Alejandro","Plevris, Vagelis","Nogal, Maria"],"tags":["Bridges","Digital Twins","Bridge Information Modelling","Finite Elements","Bridge Health Monitoring","Anomaly Detection Algorithms","Cultural Heritage"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7548017","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.10666502","name":"Determination of Inter-Operability Credentials for Multi-Attribute Cloud Manufacturing Under Distributive Blockchain Executable IoT Protocols: A Concise Review","source":"datacite","abstract":"ABSTRACT Global distribution of products manufacturing organizations tends to favor countries who have deliberately reinvented manufacturing templates along the lines of modern technological developments. These production enterprises have embraced emerging digital technologies harnessed from varying aspects of data science, blockchain technology, machine language encryption, deep learning, digital twin,AI,autonomous devices, etc.; with which advanced production practices such as cloud manufacturing can be embedded on IoT protocols thus resulting remote management of the machines and plants. In view of these developments, the paper intends to conduct a brief review of current practices and future anticipatory prospects incidental to interoperability credentials required between the interfaces of these identified technologies for purposes of increased manufacturing efficiency. As a review concern, the study considered existing practices as projected by various industries and academia. These practices were found to be the results of demands in the industry and the conventional templates developed to guarantee significant compliance to regulatory requirements. The findings of the paper thus border on the relevance of defining the various interoperability credentials that are necessary for the achievement of the manufacturing design objectives. This imply that future designs of manufacturing lines and associated facilities and utilities would be made on the basis of application of these advanced data management protocols. The brief summary of crucial aspects of interoperability credentials in this paper thus sets agenda for clear definition of interface performance delineations in future manufacturing templates that must take advantage of emerging data technologies for manufacturing competitiveness.","url":"https://doi.org/10.5281/zenodo.10666502","authors":["E. E. Jumbo","V. Zalizko"],"tags":["cloud manufacturing, smart contracts, embedded protocols, 3D printing, syntactic and semantic credentials, hashchains, cryptographic encryption"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.5281/zenodo.10666502","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10666503","name":"Determination of Inter-Operability Credentials for Multi-Attribute Cloud Manufacturing Under Distributive Blockchain Executable IoT Protocols: A Concise Review","source":"datacite","abstract":"ABSTRACT Global distribution of products manufacturing organizations tends to favor countries who have deliberately reinvented manufacturing templates along the lines of modern technological developments. These production enterprises have embraced emerging digital technologies harnessed from varying aspects of data science, blockchain technology, machine language encryption, deep learning, digital twin,AI,autonomous devices, etc.; with which advanced production practices such as cloud manufacturing can be embedded on IoT protocols thus resulting remote management of the machines and plants. In view of these developments, the paper intends to conduct a brief review of current practices and future anticipatory prospects incidental to interoperability credentials required between the interfaces of these identified technologies for purposes of increased manufacturing efficiency. As a review concern, the study considered existing practices as projected by various industries and academia. These practices were found to be the results of demands in the industry and the conventional templates developed to guarantee significant compliance to regulatory requirements. The findings of the paper thus border on the relevance of defining the various interoperability credentials that are necessary for the achievement of the manufacturing design objectives. This imply that future designs of manufacturing lines and associated facilities and utilities would be made on the basis of application of these advanced data management protocols. The brief summary of crucial aspects of interoperability credentials in this paper thus sets agenda for clear definition of interface performance delineations in future manufacturing templates that must take advantage of emerging data technologies for manufacturing competitiveness.","url":"https://doi.org/10.5281/zenodo.10666503","authors":["E. E. Jumbo","V. Zalizko"],"tags":["cloud manufacturing, smart contracts, embedded protocols, 3D printing, syntactic and semantic credentials, hashchains, cryptographic encryption"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.5281/zenodo.10666503","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.25054154.v1","name":"Intelligent Robotic Systems in Industry 4.0, A Review","source":"datacite","abstract":"As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent, and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.","url":"https://doi.org/10.6084/m9.figshare.25054154.v1","authors":["Soori, Mohsen","Dastres, Roza","Arezoo, Behrooz","Karimi Ghaleh Jough, Fooad"],"tags":["Intelligent robotics","Industrial engineering","Artificial intelligence not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25054154.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.25054154.v2","name":"Intelligent Robotic Systems in Industry 4.0, A Review","source":"datacite","abstract":"As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent, and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.","url":"https://doi.org/10.6084/m9.figshare.25054154.v2","authors":["Soori, Mohsen","Dastres, Roza","Arezoo, Behrooz","Karimi Ghaleh Jough, Fooad"],"tags":["Intelligent robotics","Industrial engineering","Artificial intelligence not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25054154.v2","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2401.05194","name":"Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental Validation","source":"datacite","abstract":"Mobile robotic systems are becoming increasingly popular. These systems are used in various indoor applications, raging from warehousing and manufacturing to test benches for assessment of advanced control strategies, such as artificial intelligence (AI)-based control solutions, just to name a few. Scaled robotic cars are commonly equipped with a hierarchical control acthiecture that includes tasks dedicated to vehicle state estimation and control. This paper covers both aspects by proposing (i) a federeted extended Kalman filter (FEKF), and (ii) a novel deep reinforcement learning (DRL) path tracking controller trained via an expert demonstrator to expedite the learning phase and increase robustess to the simulation-to-reality gap. The paper also presents the formulation of a vehicle model along with an effective yet simple procedure for identifying tis paramters. The experimentally validated model is used for (i) supporting the design of the FEKF and (ii) serving as a digital twin for training the proposed DRL-based path tracking algorithm. Experimental results confirm the ability of the FEKF to improve the estimate of the mobile robot's position. Furthermore, the effectiveness of the DRL path tracking strateguy is experimentally tested along manoeuvres not considered during training, showing also the ability of the AI-based solution to outpeform model-based control strategies and the demonstrator. The comparison with benchmraking controllers is quantitavely evalueted through a set of key performance indicators.","url":"https://doi.org/10.48550/arxiv.2401.05194","authors":["Caponio, Carmine","Stano, Pietro","Carli, Raffaele","Olivieri, Ignazio","Ragone, Daniele","Sorniotti, Aldo","Montanaro, Umberto"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2401.05194","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2401.02661","name":"Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin","source":"datacite","abstract":"Background: Type 2 diabetes (T2D) is a prevalent chronic disease with a significant risk of serious health complications and negative impacts on the quality of life. Given the impact of individual characteristics and lifestyle on the treatment plan and patient outcomes, it is crucial to develop precise and personalized management strategies. Artificial intelligence (AI) provides great promise in combining patterns from various data sources with nurses' expertise to achieve optimal care. Methods: This is a 6-month ancillary study among T2D patients (n = 20, age = 57 +- 10). Participants were randomly assigned to an intervention (AI, n=10) group to receive daily AI-generated individualized feedback or a control group without receiving the daily feedback (non-AI, n=10) in the last three months. The study developed an online nurse-in-the-loop predictive control (ONLC) model that utilizes a predictive digital twin (PDT). The PDT was developed using a transfer-learning-based Artificial Neural Network. The PDT was trained on participants self-monitoring data (weight, food logs, physical activity, glucose) from the first three months, and the online control algorithm applied particle swarm optimization to identify impactful behavioral changes for maintaining the patient's glucose and weight levels for the next three months. The ONLC provided the intervention group with individualized feedback and recommendations via text messages. The PDT was re-trained weekly to improve its performance. Findings: The trained ONLC model achieved &gt;=80% prediction accuracy across all patients while the model was tuned online. Participants in the intervention group exhibited a trend of improved daily steps and stable or improved total caloric and total carb intake as recommended.","url":"https://doi.org/10.48550/arxiv.2401.02661","authors":["Faruqui, Syed Hasib Akhter","Alaeddini, Adel","Du, Yan","Li, Shiyu","Sharma, Kumar","Wang, Jing"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2401.02661","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17863/cam.45897","name":"Supply Chain Digital Twins: Opportunities and Challenges Beyond the Hype","source":"datacite","abstract":"23rdCambridge International Manufacturing SymposiumUniversity of Cambridge, 26 –27 September 20191Supply Chain Digital Twins: Opportunities and Challenges Beyond the HypeJagjit Singh Srai*, Ettore Settanni, Naoum Tsolakis, Parminder Kaur AulakhCentre for International Manufacturing, Institute for Manufacturing, Department of Engineering, University of Cambridge, Cambridge, United Kingdom*jss46@cam.ac.uk, e.settanni@eng.cam.ac.uk, nt377@cam.ac.uk, pkksh2@cam.ac.ukAbstractThis paper discusses the application of digital twin concepts, prevalent in the factory unit operations environment, to the supply chaincontext. While the concept of digital twin is relatively recent in the manufacturing context, its application has now emerged within a wider supply chain context. It is unclear in this broader application what might the benefits of such an approach be in terms of operational control, replicability and efficiency. Following a literature review, the attributes of a Digital Twin Supply Chain (DTSC) are defined, highlighting similarities and differences from the traditional factory perspective that places the emphasis on equipment and unit operations. Selected DTSC attributesare then applied within a selection ofindustry case studieswhere advanced manufacturing technologies and industrial digitalisation are expected to provide new capability in terms of more distributed made-to-order manufacturing (e.g.,in pharmaceuticals supply chains), as well as enhanced visibility, traceability and authentication (e.g.,in organic food supply chains).","url":"https://doi.org/10.17863/cam.45897","authors":["Srai, Jagjit","Settanni, Ettore","Tsolakis, Naoum","Aulakh, Parminder"],"tags":["Digital Twin","digitalisation","supply chain","pharmaceuticals","food"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.17863/cam.45897","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.17863/cam.83275","name":"Built environment data modelling: a review of current approaches and standards supporting Asset Management","source":"datacite","abstract":"Information Management is crucial in the Asset Management domain. Well-structured information management processes allow to access the needed data, in the right format, and enables the development of cross-domain Asset Management services. Several studies can be found in literature, on the capabilities and applications of digital tools in Architecture Constructions and Operations (AECO), demonstrating how digitisation has changed the traditional processes. Moreover, many data modelling approaches and standards can be used to support digital Asset Management applications. Due to the advancement of Digital Twin related research, the interest for the ontological and data modelling approaches have increased in recent years. This article aims at organising the body of knowledge on data modelling in AECO, through a critical review of existing approaches and standards. The literature is studied and the main trends are highlighted. The most relevant articles are selected and a contents analysis is carried out. The study shows that digital Asset Management applications require interdisciplinarity and data access across different domain; two main approaches for the development of intermediate data models can be identified in literature and a unique data model able to represent multiple scales and domains cannot be found. Thus, some future research works are proposed as a conclusion of the literature review.","url":"https://doi.org/10.17863/cam.83275","authors":["Moretti, Nicola","Xie, Xiang","Merino Garcia, Jorge","Chang, Janet","Parlikad, Ajith"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.17863/cam.83275","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.17863/cam.70914","name":"Development of Asset Information Requirements to support Asset Management","source":"datacite","abstract":"The management of physical assets (asset management) is becoming increasingly important, supported by a shift in mindsets that are seeing maintenance moving from a \"necessary evil\" to a value-adding exercise. This is enforced by the need to achieve greater asset performance within increasing financial constraints, aiming to achieve \"more for less\" while limiting impact on the natural environment. The development of Building Information Modelling (BIM) and the concept of whole-life asset management provided a \"new\" approach to the management of physical assets based on emerging technologies and information management processes. The adoption of BIM within the design and construction phase has widely been considered successful with a wealth of studies showing an increase in productivity, reduction in cost and improved risk management. Despite this, the adoption of BIM within the Operation and maintenance (O&amp;M) phase has been limited. A lack of understanding of what information should be collected at an organisational level to support the management of assets throughout their life, results in asset-related information not being collected in alignment with an organisational requirement. Often the gap between the development of Organisational Information Requirements (OIR) and the generation of Asset Information Requirements (AIR), is too much of a jump or hurdle. This is partly due to the fact that asset management organisations purely focus on the development of technical information requirements, with little consideration of the wider organisation. This thesis proposes a solution to address this challenge by presenting an organisational led framework to the development of Asset Information Requirements (AIR). This thesis presents an Information Requirements framework and Concept Model, introducing the novel concept of Functional Information Requirements (FIR) to bridge the gap between the OIR and the AIR. The framework was derived through a literature review, industry investigation, and feedback gained through several iterations of partial case studies. The final iteration was tested and validated for its practical application by a case study within a university estate management department. Furthermore, the framework was tested by a third-party partner within the infrastructure sector. The thesis concludes that the framework aids in the development of AIR. Feedback noted that while the framework is helpful, it is resource intensive and the “value” of BIM within asset management needs to be addressed to gain the required resources. Furthermore, future research should investigate this challenge by considering the possibility of a common set of information requirements to reduce the need for the framework for individual instances of projects, when the projects are of similar purpose. Emerging techniques should be considered for automatic classification of Assets within a BIM model, this would greatly increase efficiency and reduce the resource intensive nature of the framework. Finally, future research should investigate how the proposed framework can support the evolution of the Digital Twin, within the context of the built environment.","url":"https://doi.org/10.17863/cam.70914","authors":["Heaton, James"],"tags":["BIM","Asset Management","Building Information Modelling","Asset Information Requirements","Organisational Information Requirements","Functional Information Requirements"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.17863/cam.70914","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.15488/15287","name":"Modelling The Digital Twin For Data-Driven Product Development - A Literature Review","source":"datacite","abstract":"Due to advanced connectivity and increasing distribution of product-service, more and more data is available from the products used and produced. Scientific publications often describe that this product data can be applied in product development to make it more efficient and that the digital twin can play a central role in data provision and interoperability. However, less attention is paid to how the digital twin should be designed for this purpose and how it should be adequately modelled for these use cases. Therefore, this paper presents a structured literature review to analyse which methods are already described in science to model digital twins in a target-oriented way for use cases of data-driven product development. Not only are the procedures interesting, but also the type of digital twin for which they are intended and whether they describe the procedure at the level of a rough macrostructure or detailed microstructure.","url":"https://doi.org/10.15488/15287","authors":["Himmelstoss, Henry","Bauernhansl, Thomas"],"tags":["Digital Twin","Asset Administration Shell","Product Development","Digital Manufacturing;","Industry 4.0","Literature Review","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/15287","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2308.15168","name":"Ontologies in Digital Twins: A Systematic Literature Review","source":"datacite","abstract":"Digital Twins (DT) facilitate monitoring and reasoning processes in cyber-physical systems. They have progressively gained popularity over the past years because of intense research activity and industrial advancements. Cognitive Twins is a novel concept, recently coined to refer to the involvement of Semantic Web technology in DTs. Recent studies address the relevance of ontologies and knowledge graphs in the context of DTs, in terms of knowledge representation, interoperability and automatic reasoning. However, there is no comprehensive analysis of how semantic technologies, and specifically ontologies, are utilized within DTs. This Systematic Literature Review (SLR) is based on the analysis of 82 research articles, that either propose or benefit from ontologies with respect to DT. The paper uses different analysis perspectives, including a structural analysis based on a reference DT architecture, and an application-specific analysis to specifically address the different domains, such as Manufacturing and Infrastructure. The review also identifies open issues and possible research directions on the usage of ontologies and knowledge graphs in DTs.","url":"https://doi.org/10.48550/arxiv.2308.15168","authors":["Karabulut, Erkan","Pileggi, Salvatore F.","Groth, Paul","Degeler, Victoria"],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.15168","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2309.01461","name":"Joint vehicle state and parameters estimation via Twin-in-the-Loop observers","source":"datacite","abstract":"Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e.g. load or tire-road friction. In this paper, we extend a new paradigm for state estimation, called Twin-in-the-Loop filtering (TiL-F), to the estimation of the unknown parameters describing the vehicle operating conditions. In such an approach, a digital-twin of the vehicle (usually already available to the car manufacturer) is employed on-board as a plant replica within a closed-loop scheme, and the observer gains are tuned purely from experimental data. The proposed approach is validated against experimental data, showing to significantly outperform the state-of-the-art solutions.","url":"https://doi.org/10.48550/arxiv.2309.01461","authors":["Dettù, Federico","Formentin, Simone","Savaresi, Sergio Matteo"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2309.01461","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18720/spbpu/3/2020/vr/vr20-1215","name":"Применение цифрового двойника Ð¸Ð½Ð¶ÐµÐ½ÐµÑ€Ð½Ñ‹Ñ ÑÐ¸ÑÑ‚ÐµÐ¼ для оценки ÑÐºÑÐ¿Ð»ÑƒÐ°Ñ‚Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ð·Ð°Ñ‚Ñ€Ð°Ñ‚","source":"datacite","abstract":"Тема выпускной квалификационной работы: «Применение цифрового двойника инженерных систем для оценки эксплуатационных затрат». Работа посвящена формированию модели управления содержанием инженерных систем жилого дома с привлечением цифрового двойника для оценки эксплуатационных затрат. Задачи, которые решались в ходе исследования: 1.Выполнить анализ литературных источников о состоянии жилищного фонда с целью выявления проблем. 2.Выполнить анализ статей эксплуатационных расходов. Выделить расчетные параметры. 3.Выполнить обзор существующих методик оценки физического износа элементов конструкций и инженерных систем. 4.Рассмотреть этапы формирования цифрового двойника объекта. Определить круг входных и выходных данных для целей исследования. 5.Подготовить рекомендации применения модели управления эксплуатацией инженерных систем для оценки эксплуатационных затрат с привлечением цифрового двойника. Предложенная модель может быть использована для оценки эксплуатационных расходов по содержанию инженерных систем, а также для оптимизации управленческих решений при эксплуатации объекта недвижимости.","url":"https://doi.org/10.18720/spbpu/3/2020/vr/vr20-1215","authors":["Полупанова, Юлия"],"tags":["эксплуатация Ð¸Ð½Ð¶ÐµÐ½ÐµÑ€Ð½Ñ‹Ñ ÑÐ¸ÑÑ‚ÐµÐ¼","цифровой двойник","информационная модель","модель управления содержанием Ð¸Ð½Ð¶ÐµÐ½ÐµÑ€Ð½Ñ‹Ñ ÑÐ¸ÑÑ‚ÐµÐ¼","operation of engineering system","digital twin","information model","engineering system management model"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.18720/spbpu/3/2020/vr/vr20-1215","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-48","name":"Методы создания цифрового двойника транспортной инфраструктуры городской среды","source":"datacite","abstract":"Тема выпускной квалификационной работы: «Методы создания цифрового двойника транспортной инфраструктуры городской среды». Данная работа посвящена рассмотрению двух предлагаемых методов по составлению цифрового двойника объектов транспортной инфраструктуры в городской среде – метод сборки координационной модели из ряда САПРи метод использования геоинформационной базы данных для рассматриваемых объектов и их взаимосвязи с существующими объектами среды. Целью работы является анализ существующих и перспективных методов по созданию цифровых двойников объектов транспортной инфраструктуры в масштабе города с возможностью работы с собранными данными для анализа её развития и эксплуатации. Задачи, решаемые в ходе изучения: Обзор зарубежных и отечественных практики составления цифровых двойников объектов транспортной инфраструктуры; Обоснование методов практик составления цифровых двойников, на основе теоретического анализа и практического опыта автора при разработке моделей в инфраструктурных и градостроительных проектах; Предложения дальнейшего развития практики и методов создания цифровых двойников. По итогам проделанной работы были разработаны уникальные методы реализации больших инфраструктурных и градостроительных проектах в сфере информационного моделирования и внедрен ряд автоматизированных решений к существующим САПРдля выполнения отдельных задач подготовки данных в том числе для создания цифровых двойников.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-48","authors":["Гребенюк, Егор"],"tags":["Базы данныÑ","цифровой двойник","информационная модель","digital double","information model"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.18720/spbpu/3/2023/vr/vr23-48","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18720/spbpu/3/2019/vr/vr19-2014","name":"Разработка Ð°Ñ€Ñ Ð¸Ñ‚ÐµÐºÑ‚ÑƒÑ€Ð½Ñ‹Ñ Ñ€ÐµÑˆÐµÐ½Ð¸Ð¹ расширения информационной системы для поддержки дискретного производства с использованием Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ цифрового двойника","source":"datacite","abstract":"Цель магистерской диссертации заключается в рассмотрении концепции цифрового двойника, его составляющих частей и его применимости на этапах цепи поставок в дискретном производстве, а также построении архитектуры цифрового двойника, адаптированную для дискретного производство и преобразовании бизнес-процессов компании с применением цифрового двойника. В первой главе данной работы было рассмотрено развитие ERP систем и применение ERP III как одного из этапов цифровой трансформации. Также были рассмотрены основные программные сервисы ERP III и текущие тренды. Во второй главе описана концепция цифрового двойника, его интеграционные аспекты, а также технологические сценарии, в которых может применяться цифровой двойник. В третьей главе рассмотрен жизненный цикл продукта в цифровой цепи поставок, а также рассмотрено применение цифрового двойника на всех этапах цепи поставок. В четвертой главе рассмотрено применение интернета вещей в технологиях, применяющих цифровой двойник. В пятой главе произведена разработка архитектуры цифрового двойника для предприятия, производящего цифровые устройства, а также приведены рекомендации по изменению бизнес-процессов компании с применением цифрового двойника. В заключении рассматриваются преимущества, к которым ведет использование цифрового двойника на всем жизненном цикле продукта. Компании, занимающиеся дискретным производством, находящиеся на разных этапах цифровизации бизнеса, могут использовать полученные результаты для разработки архитектуры цифрового двойника и его внедрения в различных сценариях.","url":"https://doi.org/10.18720/spbpu/3/2019/vr/vr19-2014","authors":["Фролов, Александр"],"tags":["Интернет","Вычислительные машины электронные","цифровой двойник","цифровая цепь поставок","индустрия 4.0","цифровая трансформация","преобразование бизнес-процессов"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.18720/spbpu/3/2019/vr/vr19-2014","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-567","name":"Применение Ñ†Ð¸Ñ„Ñ€Ð¾Ð²Ñ‹Ñ Ð´Ð²Ð¾Ð¹Ð½Ð¸ÐºÐ¾Ð² для обслуживания в нефтегазовом секторе","source":"datacite","abstract":"Тема выпускной квалификационной работы магистра: «Применение цифровы��… двойников для обслуживания в нефтегазовом секторе». Целью работы является исследование преимуществ использования умных технологий, таких как цифровые двойники в нефтегазовой сфере при обслуживании оборудования. Задачи работы: − определение понятий цифрового двойника и описание его архитектуры; − выявление ключевых особенностей цифровых двойников; − обзор стратегий технического обслуживания оборудования; − исследование преимуществ и недостатков внедрения цифровых двойников. Работа выполнена на базе обзора научных источников. Методы: стандарты управления активами, модели цифровой зрелости, контентный и сравнительный анализ, метод дедукции и качественной оценки, стратегии облуживания оборудования, анализ данных. Основные результаты работы: − влияние стандарта управления активами и модели цифровой зрелости на внедрение цифровых двойников; − описание процессной модели после внедрения технологии; − подтверждение исследованной теоретической основы; − расчет экономической эффективности внедрения цифровых двойников для оборудования нефтегазовой отрасли. Практическая значимость работы определяется рассмотрением концепции технического обслуживания оборудования и влияния цифровых двойников в нефтегазовой сфере, а также преимуществ и недостатков использования современных технологий. Основываясь на изученной теоретической базе, в работе был представлен пример внедрения технологии в компании. Важность исследования заключается в оценке экономической полезности и оценке операционных выгод. В результате работы были также выявлены открытые вопросы и направления дальнейших исследований.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-567","authors":["Леванюк, Дарья"],"tags":["Нефтяная промышленность","Газовая промышленность","цифровой двойник","цифровизация","процессы трансформации","обслуживание","digital twin","digitalization"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.18720/spbpu/3/2023/vr/vr23-567","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.48550/arxiv.2311.12961","name":"Demystifying Digital Twin Buzzword: A Novel Generic Evaluation Model","source":"datacite","abstract":"Despite the growing popularity of digital twin (DT) developments, there is a lack of common understanding and definition for important concepts of DT. It is needed to address this gap by building a shared understanding of DT before it becomes an obstacle for future work. With this challenge in view, the objective of our study is to assess the existing DT from various domains on a common basis and to unify the knowledge and understanding of DT developers and stakeholders before practice. To achieve this goal, we conducted a systematic literature review and analyzed 25 selected papers to identify and discuss the characteristics of existing DT's. The review shows an inconsistency and case-specific choices of dimensions in assessing DT. Therefore, this article proposes a four-dimensional evaluation framework to assess the maturity of digital twins across different domains, focusing on the characteristics of digital models. The four identified dimensions in this model are Capability, Cooperability, Coverage, and Lifecycle. Additionally, a weight mechanism is implemented inside the model to adapt the importance of each dimension for different application requirements. Several case studies are devised to validate the proposed model in general, industrial and scientific cases.","url":"https://doi.org/10.48550/arxiv.2311.12961","authors":["Liu, Zhengyu","Araghi, Sina Namaki","Sarkar, Arkopaul","Karray, Mohamed Hedi"],"tags":["Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.12961","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.18420/inf2023_146","name":"Enhancing Digital Twins for Production through Process Mining Techniques: A Literature Review","source":"datacite","abstract":"A digital twin (DT) plays a vital role in the advancement of manufacturers towards Industry 4.0. However, the creation and maintenance of DTs can be time-consuming. One approach to streamline this process is the utilization of process mining (PM) methods and techniques, which can automatically generate valuable information for DTs. Therefore, this paper aims to examine different approaches that augment DTs with PM and explore their effects. The review categorizes these approaches into three groups: theoretical approaches, approaches with laboratory case studies, and approaches with real-world case studies conducted by manufacturers. The review reveals that the use of PM can enhance the flexibility and sustainability of DTs. However, this improvement comes at the cost of requiring high-quality data and more data preparation efforts.","url":"https://doi.org/10.18420/inf2023_146","authors":["Schumacher, Marcel","Buschermöhle, Ralf","Haak, Liane","Höfinghoff, Max","Seipolt, Arne","Korn, Goy-Hinrich"],"tags":["Process Mining","Digital Twin","Production"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18420/inf2023_146","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.7668302","name":"D2.1 State-of-the-art analysis and Big Data Value Chain","source":"datacite","abstract":"Current climate change threats and increasing CO2 emissions, in particular from the building stock represent a context where it is necessary to act upon and provide efficient manners to manage energy consumption and generation in buildings and contribute to a decarbonised economy. In parallel to this trend, more and more data are being generated within buildings nowadays, due to the increasing adoption of leading-edge ICTs technologies, such as IoT, AI, DLT/blockchain and big data, thus, contributing to move forward towards a smart building landscape. By combining these new technologies and the exploitation of data towards solving real life problems surrounding buildings, the way could be paved towards a decarbonised future. In this framework, MATRYCS aims to provide modular big data applications for holistic energy services in buildings, which will be validated in 11 large scale pilots covering several needs and perspectives around energy in buildings: performance, design, policy-making and funding. To this end, it is necessary to understand what technologies and solutions already exist to assure that what MATRYCS can provide remains, on the one hand, cutting edge and, on the other, also builds upon existing methods, technologies, data models and platforms. For this reason, this Deliverable 2.1 main objective is to delve into current trends and provide a landscape review of all the concepts playing a role in MATRYCS, and also to provide a user-perspective and define what challenges are currently faced in the building sector (Part I), to finally be able to derive user stories and requirements (Part II). This document will be updated close to the project’s midlife to assure that its contents remain cutting-edge and up to date. To provide this vision, in the first place, the scope will be defined by identifying the current trends present both in the building sector, as in the big data context. Thus, the perspective and objectives presented by relevant organisations like the European Construction and Technology Platform (ECTP) or the Building Data Value Association (BDVA) will be presented. These will be complemented by the European Commission’s perspective (twin transition, directives, reports, initiatives, H2020 projects and collaborative networks) and by a short introduction to potential engagement to third parties and a presentation of stakeholders to be addressed in this context. Then the landscape from a technical perspective is presented. Firstly, by analysing what methods and tools are currently being deployed by the stakeholders in the building value chain. This will allow clearly identifying potential improvements to the building as usual procedures and proposing relevant solutions. As counterpart, this landscape overview is complemented by the existing technologies that could be deployed to answer the stakeholders’ needs. With this in mind, first the digitalization in the built environment is explained and relevant concepts surrounding the digital building twin examined (i.e. existing data models, BIM and digital infrastructures, link to IoT, end-to-end process digitalisation, and how other scales could be tackled), as well as some examples of platforms for the built environment presented. Then, specific analytics that could target the previously identified challenges are presented. These are grouped in the same categories as the pilots and this literary review will be used as a basis for the development of analytics in the project. Finally, this landscape review is completed with an introduction to digital tools for data and knowledge management and cyber-security concepts. Finally, once the context, an introduction to the needs and challenges to be addressed and the available technologies to tackle them have been presented, it is necessary to know what data is available to put into practice the shown analytics. This is the reason why this technical analysis concludes with a review of building related datasets and rep","url":"https://doi.org/10.5281/zenodo.7668302","authors":["César Valmaseda","Gema Hernández Moral","Sofía Mulero","Víctor Iván Serna","Carla Rodríguez","Javier Román","José María Llamas Fernández","Javier Antolín","Ana López Vidal","Roberto Sanz Jimeno"],"tags":["Big Data","landscape","Building data sets","User Stories","Usage Scenarios","Use Cases"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.7668302","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.5281/zenodo.7668301","name":"D2.1 State-of-the-art analysis and Big Data Value Chain","source":"datacite","abstract":"Current climate change threats and increasing CO2 emissions, in particular from the building stock represent a context where it is necessary to act upon and provide efficient manners to manage energy consumption and generation in buildings and contribute to a decarbonised economy. In parallel to this trend, more and more data are being generated within buildings nowadays, due to the increasing adoption of leading-edge ICTs technologies, such as IoT, AI, DLT/blockchain and big data, thus, contributing to move forward towards a smart building landscape. By combining these new technologies and the exploitation of data towards solving real life problems surrounding buildings, the way could be paved towards a decarbonised future. In this framework, MATRYCS aims to provide modular big data applications for holistic energy services in buildings, which will be validated in 11 large scale pilots covering several needs and perspectives around energy in buildings: performance, design, policy-making and funding. To this end, it is necessary to understand what technologies and solutions already exist to assure that what MATRYCS can provide remains, on the one hand, cutting edge and, on the other, also builds upon existing methods, technologies, data models and platforms. For this reason, this Deliverable 2.1 main objective is to delve into current trends and provide a landscape review of all the concepts playing a role in MATRYCS, and also to provide a user-perspective and define what challenges are currently faced in the building sector (Part I), to finally be able to derive user stories and requirements (Part II). This document will be updated close to the project’s midlife to assure that its contents remain cutting-edge and up to date. To provide this vision, in the first place, the scope will be defined by identifying the current trends present both in the building sector, as in the big data context. Thus, the perspective and objectives presented by relevant organisations like the European Construction and Technology Platform (ECTP) or the Building Data Value Association (BDVA) will be presented. These will be complemented by the European Commission’s perspective (twin transition, directives, reports, initiatives, H2020 projects and collaborative networks) and by a short introduction to potential engagement to third parties and a presentation of stakeholders to be addressed in this context. Then the landscape from a technical perspective is presented. Firstly, by analysing what methods and tools are currently being deployed by the stakeholders in the building value chain. This will allow clearly identifying potential improvements to the building as usual procedures and proposing relevant solutions. As counterpart, this landscape overview is complemented by the existing technologies that could be deployed to answer the stakeholders’ needs. With this in mind, first the digitalization in the built environment is explained and relevant concepts surrounding the digital building twin examined (i.e. existing data models, BIM and digital infrastructures, link to IoT, end-to-end process digitalisation, and how other scales could be tackled), as well as some examples of platforms for the built environment presented. Then, specific analytics that could target the previously identified challenges are presented. These are grouped in the same categories as the pilots and this literary review will be used as a basis for the development of analytics in the project. Finally, this landscape review is completed with an introduction to digital tools for data and knowledge management and cyber-security concepts. Finally, once the context, an introduction to the needs and challenges to be addressed and the available technologies to tackle them have been presented, it is necessary to know what data is available to put into practice the shown analytics. This is the reason why this technical analysis concludes with a review of building related datasets and rep","url":"https://doi.org/10.5281/zenodo.7668301","authors":["César Valmaseda","Gema Hernández Moral","Sofía Mulero","Víctor Iván Serna","Carla Rodríguez","Javier Román","José María Llamas Fernández","Javier Antolín","Ana López Vidal","Roberto Sanz Jimeno"],"tags":["Big Data","landscape","Building data sets","User Stories","Usage Scenarios","Use Cases"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.7668301","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:40.905Z"},{"id":"doi:10.20944/preprints202606.0837.v1","name":"Digital and Biological Twins in Cholangiocarcinoma: From Translational Research to Precision Medicine","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202606.0837.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.0837.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202608.0522.v1","name":"Translating Electronic Health Record Foundation Models into Clinical Decision Support","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202608.0522.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202608.0522.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202606.0102.v1","name":"Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202606.0102.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202606.0102.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202605.0438.v1","name":"Artificial Intelligence Technologies in Plant Factories over the Last Decade: Machine Vision, Nutrient Intelligence, Control, and Digital Twins","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0438.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0438.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.22541/authorea.15004835/v1","name":"Securing the Operation of Distribution Networks under High Renewable Energy Penetration: A Systematic Review","source":"preprints","abstract":"","url":"https://doi.org/10.22541/authorea.15004835/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.22541/authorea.15004835/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202605.2046.v1","name":"Generative AI-Enhanced Digital Twins for Predictive Ecosystem Management and Conservation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.2046.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.2046.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-9197860/v1","name":"Development and Application of a 3D Simulation-Based Reconstruction and Analysis System for Oil and Gas Surface Engineering Construction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9197860/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9197860/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202605.1312.v1","name":"From Quasi‐Static to Time‐Domain Strong Coupling: A Methodological Review on Dynamic Stability and Survivability for Modern Wind‐Assisted Ships","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.1312.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.1312.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202603.1613.v1","name":"From Decision-Support Tools to Digital Twins: Digital Farming, Data Platforms, and AI for Sustainable Dairy Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.1613.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1613.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-9712876/v1","name":"Artificial Intelligence in Multiple Myeloma: From Diagnostics and Clinical Trials to Drug Discovery","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9712876/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9712876/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.31234/osf.io/qnjd6_v1","name":"Artificial Intelligence for Precision Brain Stimulation: From Neuroimaging to Foundation Models and Virtual Brains","source":"preprints","abstract":"","url":"https://doi.org/10.31234/osf.io/qnjd6_v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.31234/osf.io/qnjd6_v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202604.1110.v1","name":"Mechanism-Based Degradation and Structural Integrity of Marine Renewable Energy Systems: Multiscale Modelling, Materials Challenges, and Future Qualification Frameworks","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202604.1110.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202604.1110.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202603.1168.v1","name":"From Gear Geometry to Sound Branding: A State-of-the-Art Review on Harmonic NVH Engineering in Electric Drivetrains","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.1168.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1168.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-9278250/v1","name":"Advances in t8/5 Control, Microstructure–Property Relations, and Intelligent Prediction for Structural Welding","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9278250/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9278250/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202603.1263.v1","name":"Non-Contact Giant Magnetoresistive Sensors for Monitoring Low-Voltage Distribution Networks: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.1263.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1263.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202602.0449.v1","name":"The Virtual World of Free-Radical Polymerization","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0449.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0449.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.08.04.26359594","name":"Short-term survival benefit associated with neonatal clinical trial participation: An observational cohort study in The Gambia","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.08.04.26359594","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.04.26359594","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202602.0163.v1","name":"Multiphysics Vibroacoustic Simulation in EV Powertrains: A Comprehensive Review","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.0163.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0163.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202602.0570.v1","name":"Responsive Architecture in Practice: BIM/DT/AI/IoT for Dynamic Evacuation—Case Studies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0570.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0570.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.02.19.706510","name":"UnivAIRRse: A Unified Framework for Organizing and Comparing Adaptive Immune Receptor Repertoire Simulators","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.02.19.706510","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.02.19.706510","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-8740563/v1","name":"Statistical Average Strain Energy Density fatigue estimation of strut-based metamaterials via synthetic as-built CAD digital twins","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8740563/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8740563/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202505.0784.v1","name":"A New Era for Digital Twins: Progress and Industry Adoption","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.0784.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202505.0784.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202507.2321.v1","name":"Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain: A Systematic Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.2321.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.2321.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202506.0030.v1","name":"Multi-Domain Moving Target Defense for Resilient Security in Power Cyber-Physical Systems: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0030.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.0030.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202506.1885.v1","name":"Redefining Adversarial Dynamics: Co-Evolution of Attack and Defense Strategies in AI-Enabled Power Cyber-Physical Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.1885.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.1885.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202507.0260.v1","name":"A Comprehensive Review on Deep Learning for Genomics and AI in Drug Discovery","source":"preprints","abstract":"The convergence of deep learning with genomics and artificial intelligence in drug discovery represents a transformative paradigm in biomedical research, offering unprecedented opportunities to accelerate scientific discovery and revolutionize healthcare. This comprehensive review examines the current applications, advancements, and future potential of deep learning technologies across genomic data analysis and pharmaceutical development pipelines. In genomics, deep learning has demonstrated remarkable capabilities in variant calling and annotation, with tools like DeepVariant achieving superior accuracy in identifying genetic variations, while transformer-based models like Enformer have revolutionized gene expression prediction from DNA sequences. The technology has also advanced epigenomic analysis, single-cell genomics, and functional genomics, enabling researchers to decode complex biological relationships previously inaccessible through traditional methods. In drug discovery, artificial intelligence is transforming every stage of the development pipeline, from target identification and validation to lead optimization and clinical trial design. Deep learning models excel in virtual screening of vast chemical libraries, de novo drug design through generative networks, and prediction of ADMET properties, significantly reducing the time, cost, and risk associated with bringing new therapeutics to market. The synergistic integration of genomic insights with AI-driven drug discovery enables precision medicine approaches, where treatments are tailored to individual genetic profiles. Multi-omics data integration through deep learning provides comprehensive disease understanding and facilitates the development of personalized therapeutic strategies. Despite remarkable progress, several challenges persist, including data availability and quality issues, model interpretability concerns, generalizability limitations, and ethical considerations surrounding privacy and algorithmic bias. Future directions include advanced multi-modal integration, reinforcement learning for drug design, digital twin technologies for personalized medicine, and the potential integration of quantum computing with AI. This review highlights how the intelligent convergence of deep learning in genomics and drug discovery is poised to unlock unprecedented capabilities in understanding life, combating disease, and developing next-generation therapeutics, ultimately promising a more personalized and effective approach to human healthcare.","url":"https://doi.org/10.20944/preprints202507.0260.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.0260.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21203/rs.3.rs-7151271/v1","name":"High-Performance and Quantum Computing in Cancer Modeling: A Review and Hybrid HPC- Quantum Approach","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7151271/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7151271/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202506.1588.v1","name":"Revolutionizing Gas Turbine Aerodynamics: Advanced Numerical Methods for High-Fidelity Simulations, Turbulence Modeling, and Aerothermodynamic Analysis","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.1588.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.1588.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202505.2023.v2","name":"Comprehensive Comparative Analysis of Lower Limb Exoskeleton Research: Control, Design, and Application","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.2023.v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202505.2023.v2","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20944/preprints202505.2023.v1","name":"Comprehensive Comparative Analysis of Lower Limb Exoskeleton Research: Control, Design, and Application","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.2023.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202505.2023.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.64898/2026.03.11.711180","name":"Precise kinematic and muscle recording in freely behaving flies enabled by closed-loop tracking and annotation-free pose estimation","source":"preprints","abstract":"Understanding the neuromuscular basis for behavior requires measuring both kinematic and physiological data at high resolution in unconstrained conditions: a technically challenging goal. Here we present an integrated experimental-computational pipeline for measuring and quantifying body part kinematics and muscle activity in freely behaving Drosophila melanogaster . We first present Spotlight , a closed-loop videography system that performs real-time tracking to record untethered flies at high resolution (6 µm/pixel) and high frame rate (330 Hz) while also enabling optical recordings of limb muscle activity via a fluorescent calcium reporter. To analyze these massive datasets without manual image annotation, we introduce PoseForge , a synthetic-data-driven framework that exploits morphologically accurate biomechanical simulations to generate synthetic data, and contrastive self-supervised learning to infer 3D keypoints and dense body-part segmentation from a single camera view. Using resulting 3D kinematic data, we can replay recorded behaviors in a biomechanical digital twin, NeuroMechFly, to infer forces generated and experienced by the fly’s limbs. Finally, we illustrate the capability of our system to optically record muscle activity. We show how the legs’ long-tendon muscles activate upon mechanical vibration, possibly to activate gripping and to maintain a stable posture. Taken together, this workflow enables scalable, high-resolution measurement and modeling of unconstrained, natural behavior.","url":"https://doi.org/10.64898/2026.03.11.711180","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.11.711180","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202501.0774.v1","name":"How Can Digital Technologies Enable Circular Economy in the Construction Industry? A Review of Lifecycle Applications, Integrations, Potential, and Limitations","source":"preprints","abstract":"The circular economy (CE) implementation in the built environment is hindered by the complexity of CE strategies and unique nature of construction industry. Digital technologies (DTs) have been explored as promising solutions to aid decision-making and enable CE in the architecture, engineering, and construction (AEC) sector. Despite the rapid growing literature on both CE and DTs, very few studies have reviewed practical applications of DTs in the AEC sector and their intersection with CE. There is a need for a comprehensive review of the state-of-the-art applications, integrations, potential, and limitations of DT in the CE context. Through a systematic literature review, this study identified ten key DTs to enable circularity in the building sector: Building information modeling (BIM), spatial data acquisition (SDA), Artificial intelligence and machine learning (AI/ML), Internet of things (IoT), blockchain, digital twin, augmented and virtual realities (AR/VR), digital platform/marketplace, material passports (MPs), and additive manufacturing and digital fabrication (AM/DF). We provided a comprehensive review of current applications for each DT, discussed their integrations, and mapped the DT applications along a building’s life cycle. Additionally, we identified the potential of DTs in overcoming the most reoccurring barriers to CE in the built environment: design, policies and standards, assessment methods, digitalization, and business models. Finally, we discussed the main DT limitations and future research needs.","url":"https://doi.org/10.20944/preprints202501.0774.v1","authors":["Cagla Keles","Fernanda Cruz Rios","Simi Hoque"],"tags":["Context (archaeology)","Building information modeling","Industry 4.0","Computer science","Business model"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202501.0774.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"doi:10.20944/preprints202504.1210.v1","name":"Optimizing Non Revenue Water Management: A comprehensive Literature Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.1210.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202504.1210.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.07.01.25330617","name":"A qualitative study of stakeholder perspectives on adopting a digital tool to measure child development at the 2-2½ year review in England","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.07.01.25330617","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.07.01.25330617","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.03.06.638897","name":"Calibration and validation strategy for electromechanical cardiac digital twins","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.03.06.638897","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.03.06.638897","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-8320002/v2","name":"Identifying differential interactions of traumatic experiences with genetic risk for posttraumatic stress disorder","source":"preprints","abstract":"Abstract Background: Posttraumatic stress disorder (PTSD) occurs following traumatic experiences, but not everyone who experiences trauma develops PTSD. Genetic factors play an important role in shaping how individuals respond to trauma, a form of gene-environment interaction. An open question in PTSD genetics research is the extent to which gene-environment interactions vary across specific traumas. Objective: We aimed to compare gene-environment interaction effects across a broad range of self-reported traumatic experiences across the lifespan. Method: We analysed existing data from two large UK cohorts: the UK Biobank and GLAD-EDGI-COPING (N=144,702). PTSD symptoms were assessed using the six-item abbreviated PTSD Checklist. We examined eleven self-reported trauma exposures, including five childhood traumas and six adulthood traumas. We conducted gene-environment interaction analyses for each trauma at three levels of genetic specificity: polygenic risk scores, specific genes, and specific genetic variants. Results: Childhood traumas had stronger associations with PTSD symptoms and greater gene-environment interactions than adulthood traumas on average. Childhood emotional and physical neglect also had gene-environment greater interactions than childhood abuse. Interaction patterns varied across genes and variants, with several leading PTSD-associated genes (e.g. ANAPC, FAM120A, SGCD ) having particularly great interactions with certain traumas. Several genes ( DTX4, PSMD12, TYW3, ZNF660 ) demonstrated consistently stronger interactions with all childhood or all adulthood traumas. Differences in gene-environment interactions across traumas were not explained by variation in exposure rates, associations with PTSD, or gene-environment correlations. Conclusions: Genetic influences on PTSD risk vary by trauma type and are most pronounced for childhood traumas. To account for the moderating role of trauma type, genetic research on PTSD should incorporate detailed trauma exposure information.","url":"https://doi.org/10.21203/rs.3.rs-8320002/v2","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8320002/v2","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.64898/2026.07.29.26359250","name":"Pandemic risk in the Shared Socioeconomic Pathways","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.07.29.26359250","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.29.26359250","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202310.1127.v1","name":"A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.1127.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202310.1127.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202308.1261.v1","name":"Digital Twins in Healthcare: Methodological Challenges and Opportunities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202308.1261.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202308.1261.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.64898/2026.03.13.26347917","name":"Childhood Mental Health and Body Mass Index as Mediators of Genetic Risk for Eating Disorders","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.13.26347917","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.13.26347917","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202405.2040.v1","name":"Electrical Impedance Tomography: A Narrative Review on Technology Principles and Its Current and Future Fields of Application","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.2040.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202405.2040.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-8320002/v1","name":"Identifying differential interactions of traumatic experiences with genetic risk for posttraumatic stress disorder","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8320002/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8320002/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202401.0531.v1","name":"Exploring Digital Twins Applications for Asset Management in the AEC/FM Industry","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.0531.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.0531.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202307.1341.v1","name":"Just Keep Rolling? – An Encompassing Review towards Accelerated Vaccine Product Life Cycles","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202307.1341.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202307.1341.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-9303831/v1","name":"Probabilistic Calibration of a Closed-loop Cardiac Electromechanical Model with Application to Cardiac Resynchronization Therapy","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9303831/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9303831/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-3229077/v1","name":"Fully automated 4D cardiac modelling from 2D echocardiography for clinical applications","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3229077/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3229077/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.64898/2026.08.11.26359946","name":"Grounding Health AI: Architecture and Evaluation of a Domain-Expert Metabolic Health Agent","source":"preprints","abstract":"General-purpose language models generate fluent health reports that can fabricate derived clinical met-rics. In an illustrative comparison on identical two-week CGM and meal data, leading foundation models produced reports with invented MAGE values, inflated meal counts, and unreferenced complication-risk projections — failures invisible to non-expert readers and plausible enough to mislead clinicians. We describe the HPP Personal Health Agent (PHA), a metabolic health agent that grounds generation in four layers: the Human Phenotype Project (HPP), a deep-phenotyped cohort of 13,000+ participants sup-plying population references and trained predictive models; 21 domain-expert tools and trained-model wrappers that compute clinical metrics and risk predictions; declarative behavioural skills that constrain what the model may claim; and 21 automated evals across 8 categories developed via a test-driven cycle in which each eval encodes a failure mode discovered during iterative development. In a 210-report ma-trix (14 participants × 3 prompts × 5 system conditions), the gains are largest on the system’s primary use case — meal-grounded metabolic reports, the report it was designed for — where the full system raises a deterministic form/provenance score from 0.37 (the same foundation model with no tools or skills) to 0.91; this score measures structural completeness, numerical accuracy, tool grounding, and clinical-language compliance — a necessary condition for trustworthy health reporting, with clinical quality as a complementary axis examined qualitatively. A skills-vs-tools decomposition shows the two layers act on different axes: tools drive numerical accuracy (≈14% → 90% of reported metrics correct), while the declarative skills add most of the remaining gain in citations, completeness, and structure (tools alone recover only part of the gap, 0.49 from the same 0.37 baseline). The lift generalises beyond the primary use case — to a second metabolic prompt (0.72) and a cardiovascular extension (0.70), each from a 0.37–0.39 baseline. The architecture extends across clinical domains: adding a SCORE2 cardiovascular risk tool and a corresponding skill — with no changes to orchestration, eval harness, or existing tools — produced a cardiovascular risk report from the same system. Trustworthy domain-specialised health AI is a systems design problem: deep-phenotyped cohort data, domain-expert tools and models, and eval-driven development together form a replicable pattern.","url":"https://doi.org/10.64898/2026.08.11.26359946","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.08.11.26359946","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.09.18.25335914","name":"The genetic architecture of fibromyalgia across 2.5 million individuals","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.09.18.25335914","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.09.18.25335914","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202307.1183.v1","name":"Digital Twins for Built Environment. A Review on Key Enablers","source":"preprints","abstract":"The emergence of Digital Twin (DT) technology is creating unique opportunities for human so-ciety in terms of real-time data transfer from the physical environment to its digital replica. DT technology has two-way interaction capabilities that enable data exchange between physical and virtual environments, creating bidirectional data flows. Progress has been made in different in-dustry sectors, but the Architecture, Engineering, Construction, and Operation (AECO) sector still requires further development. Recent studies have shown the potential for DT-based platform implementation in the lifecycle management of buildings and infrastructure. This paper examines the development and implementation of DT technology in the construction sector, identifying key definitions, enablers and use cases, while comparing its use with other industries and evaluating benefits and future potential.","url":"https://doi.org/10.20944/preprints202307.1183.v1","authors":["Giuseppe Piras","Sofia Agostinelli"],"tags":["Key (lock)","Architecture","Replica","Computer science","Systems engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202307.1183.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.21203/rs.3.rs-2369073/v1","name":"Human Digital Twin: A Survey","source":"preprints","abstract":"Abstract Digital twin has recently attracted growing attention, leading to intensive research and applications. Along with this, a new research area, dubbed as \"human digital twin\" (HDT), has emerged. Similar to the conception of digital twin, HDT is referred to as the replica of a physical-world human in the digital world. Nevertheless, HDT is much more complicated and delicate compared to digital twins of any physical systems and processes, due to humans' dynamic and evolutionary nature, including physical, behavioral, social, physiological, psychological, cognitive, and biological dimensions. Studies on HDT are limited, and the research is still in its infancy. In this paper, we first examine the inception, development, and application of the digital twin concept, providing a context within which we formally define and characterize HDT based on the similarities and differences between digital twin and HDT. Then we conduct an extensive literature review on HDT research, analyzing underpinning technologies and establishing typical frameworks in which the core HDT functions or components are organized. Built upon the findings from the above work, we propose a generic architecture for the HDT system and describe the core function blocks and corresponding technologies. Following this, we present the state of the art of HDT technologies and applications in the healthcare, industry, and daily life domain. Finally, we discuss various issues related to the development of HDT and point out the trends and challenges of future HDT research and development.","url":"https://doi.org/10.21203/rs.3.rs-2369073/v1","authors":["Yujia Lin","Liming Chen","Aftab Ali","Chris Nugent","Ian Cleland","Rongyang Li","Dazhi Gao","Hang Wang","Yajie Wang","Huansheng Ning"],"tags":["Context (archaeology)","Computer science","Data science","Replica","Geography"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2369073/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.03.27.642988","name":"Vulnerability to memory decline in aging – a mega-analysis of structural brain change","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.03.27.642988","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.03.27.642988","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202310.0301.v1","name":"Energy Efficient Buildings in the Industry 4.0 Era: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.0301.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202310.0301.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.10.06.25337395","name":"Effect of a Dietary Intervention on Weight Loss in Adults with High vs Low Genetic Predisposition to Higher BMI: A Randomized Diet Intervention Trial","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.06.25337395","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.06.25337395","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-3028917/v1","name":"Pandemic Alert with Smart Covid-19 Using Blockchain-Powered Digital Twins' Collaboration","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3028917/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3028917/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.64898/2026.07.07.26357222","name":"Proteogenomic origins of disease in British South Asians","source":"preprints","abstract":"Proteogenomic studies have transformed the way we derive novel insights into human biology and pathophysiology but are currently limited by their proteomic coverage and ancestral representation. Here, we integrate rare and common genetic variation with measurements of >11,000 plasma proteins on two affinity-based platforms (>6,000 targets not previously covered) in 1,535 individuals of British Bangladeshi and Pakistani ancestry of the Genes & Health cohort. We report 3,826 high-confidence common (minor allele frequency (MAF)>1.0%) protein quantitative trait loci (pQTLs), over half of which are novel and including >200 pQTLs with greater MAF in South Asians. Systematic analyses of rare (MAF<1.0%) exonic variants identify 230 gene-protein pairs and highlight the joint and distinct contributions of rare and common variants to inherited differences in protein levels. We expand analyses beyond the nuclear genome and identify 3 mitochondrial pQTLs, including a common variant in MT-RNR1 , associated with lower myelin protein zero (MPZ), identifying a potential novel mechanistic link for MT-RNR1 ’s poorly understood role in hearing loss. We create the first proteogenomic disease network in individuals of South Asian ancestry based on 384 cis-pQTL with a shared genetic disease or risk factor signal, including conditions substantially more common in South Asians, such as metabolic diseases or pregnancy-related conditions, providing insights into the underlying mechanisms. In summary, our study demonstrates the value and scientific efficiency of proteomic studies in genetically informative and understudied populations for identifying novel causes of globally relevant diseases.","url":"https://doi.org/10.64898/2026.07.07.26357222","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.07.07.26357222","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.06.07.543986","name":"A Multi-omics Data Analysis Workflow Packaged as a FAIR Digital Object","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.06.07.543986","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.06.07.543986","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-7855683/v1","name":"A zebrafish stable model of Galectin-3 to elucidate its role in Arrhythmogenic Cardiomyopathy","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7855683/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7855683/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.12.12.23299868","name":"Lifestyle differences between co-twins are associated with decreased similarity in their internal and external exposome profiles","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.12.12.23299868","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.12.12.23299868","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.4530357","name":"Digital Twin Model of Semiconductor Supply Chain for Managing Disruption and Resilience Through Data Driven Experiments","source":"preprints","abstract":"The semiconductor supply chain (SSC) was examined in this study for the effects of interruptions like the Covid-19 epidemic, and the resilience factors related to it were determined. With the use of Anylogistix's digital twin (DT), a simulation model was created using real-world disruption scenarios from the US in order to learn about the operational needs and supply chain characteristics. The SSC is still far from the recovery stage and is vulnerable to many existing challenges. Companies and firms that faced huge losses during the pandemic are on the search for innovative strategies to make supply chains more efficient. Collection of precise existing data cum information available from various resources using a thorough literature review was carried out. Through Anylogistix software, feeding of the data for experimenting using different Scenarios to test and analyze the factors which helped in evaluating the resiliency of the supply chain was done. A set of experiments was carried out using predictive tools and simulations available in the software. The research objectives of this study, found that the DT helped in aspects of prediction, metrics for evaluation, strategies for recovery, diagnostics, projections, and clear visibility of the SSC for providing optimum solutions for making the supply chain more resilient. Some methods to overcome challenges were also suggested in the paper. The findings of this study could help businesses, organizations, researchers, and medium-sized enterprises strengthen their resilience frameworks and better position themselves for unforeseen crisis circumstances that could arise shortly.","url":"https://doi.org/10.2139/ssrn.4530357","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4530357","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4113933","name":"Blockchain-Based Digital Twin for Supply Chain Management: State-of-The-Art Review and Future Research Directions","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4113933","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4113933","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.2139/ssrn.4455486","name":"Reconfigurable Product and Production Demonstration Digital Factory 4.0","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4455486","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4455486","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.1101/2025.06.27.25330406","name":"Genome-wide association meta-regression identifies stem cell lineage orchestration as a key driver of acne risk","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.06.27.25330406","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.06.27.25330406","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202305.0841.v1","name":"National & International Financial Market Regulation and Supervision System: Challenges and Solutions","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202305.0841.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202305.0841.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.11.25.25341027","name":"Cell-type aware transcriptome-wide association study of mammographic density phenotypes","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.11.25.25341027","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.25.25341027","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.03.13.532473","name":"Pattern completion and disruption characterize contextual modulation in the visual cortex","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.03.13.532473","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.03.13.532473","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.08.03.551775","name":"Ribosomal DNA copy number is associated with body mass in humans and other mammals","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.08.03.551775","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.08.03.551775","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.08.21.24312353","name":"Evaluating Text-to-Image Generated Photorealistic Images of Human Anatomy","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.08.21.24312353","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.08.21.24312353","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.11.09.25339839","name":"AI-driven imputation of a synthetic personality severity index from the NEO-FFI","source":"preprints","abstract":"Personality disorder severity (PDS) is a novel measure of personality in the ICD-11 with potential prognostic value. Due to its recent introduction, however, no information on it exists in most clinical cohorts. Here, we explored the value of its replacement in statistical models by an AI-based synthetic score based on NEO-FFI data, a widely used normative assessment of personality. In linear models with sex, age, traumas in childhood, and occupational status, the synthetic PDS scores reproduced coefficients of the observed scores closely. Unlike the linear model, the neural synthetic scores did not reproduce a spurious association between sex and personality functioning, suggesting that the neural model captured clinically meaningful variance while suppressing confounding demographic signals. Null hypotheses in synthetic models were rejected with only a modest loss of power. These findings suggest that clinically relevant information is latent within normative measures, despite their distinct theoretical origins. The approach enables retrospective severity estimation in datasets that include NEO-FFI items but lack direct assessments of personality functioning, thereby embedding a dimensional, transdiagnostic framework for personality pathology into large health databases without additional data collection and supporting immediate, cross-cohort research on risk and prognosis. AI-driven imputation of a synthetic personality severity index from the NEO-FFI","url":"https://doi.org/10.1101/2025.11.09.25339839","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.09.25339839","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-2453545/v1","name":"3D Modelling and Simulation of the Impact of Wearing a Mask on the Dispersion of Particles Carrying the SARS-CoV-2 Virus in a Railway Transport Coach","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2453545/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2453545/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-5938408/v1","name":"Reevaluating the Role of Education in Cognitive Decline and Brain Aging: Insights from Large-Scale Longitudinal Cohorts across 33 Countries","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5938408/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5938408/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.07.03.24309466","name":"Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.07.03.24309466","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.07.03.24309466","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.09.23.614341","name":"Whole-brain dynamics and hormonal shifts throughout women’s lifespan: From reproductive stages to menopausal transition and beyond","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.23.614341","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.23.614341","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.11.05.24316762","name":"Cohort profile: design and methods for Project HERCULES (Healthcare Exemplar for Recovery from COVID 19 by Use of Linear Examination Systems). Multi-disciplinary implementation and evaluation of an asynchronous review clinic for monitoring chronic eye disease in English NHS services","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.05.24316762","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.05.24316762","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.64898/2026.02.09.26345895","name":"Assessment of ageing using global mass-spectrometry based metabolomics: A cross-cohort longitudinal study in the UK and Ireland","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.02.09.26345895","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.02.09.26345895","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.4480231","name":"Development of Teacher Self-Evaluation of Online Teaching Scale: Changeing Pedagogy in Post-Pandemic Era","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4480231","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4480231","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.03.15.532836","name":"Bipartite invariance in mouse primary visual cortex","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.03.15.532836","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.03.15.532836","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.11.10.25339894","name":"The Genetic and Proteomic Determinants of Pediatric Stature Development and their link to adult height and Type 2 Diabetes","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.11.10.25339894","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.11.10.25339894","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.11.25.625291","name":"Dynamic whole-body models for infant metabolism","source":"preprints","abstract":"1 Comprehensive, sex-specific whole-body models (WBMs) accounting for organ-specific metabolism have been developed to allow for the simulation of adult and infant metabolism. These WBMs are evaluated daily, giving insights into metabolic flux changes that occur in one day of an infant’s or adult’s life. However, for medical applications, such as in metabolic diseases and their treatment, an evaluation and concentration predictions on a shorter time scale would be beneficial. Therefore, we developed a dynamic infant-WBM that couples metabolite dynamics in short time frames through physiology-based pharma-cokinetic models with the existing infant whole-body models. We then tailored the dynamic infant-WBM enabling the prediction of isovalerylcarnitine (C5), a clinical biomarker used for the inherited metabolic disease isovaleric aciduria (IVA). Our results show that, as expected, the predicted C5 concentrations exceeded the newborn screening thresholds during the time (36 - 72 hours) newborn screening blood samples are taken in the IVA models but not in models simulating healthy infants. We also demonstrate how the dynamic infant-WBMs can be used to test the effect changes in dietary intake have on the biomarker. Since the dynamic infant-WBMs were parametrised with literature-derived experimental or estimated values, we show how uncertainty quantification can be applied to quantify the parameter uncertainties. We found that the fractional unbound plasma needed to be estimated correctly, as this parameter strongly impacted C5 concentration predictions of the dynamic infant-WBMs. Overall, the dynamic infant-WBMs hold promise for personalised medicine, as it enables personalised biomarker concentration predictions of healthy and diseased infant metabolism in various time intervals.","url":"https://doi.org/10.1101/2024.11.25.625291","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.25.625291","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.10.21.683630","name":"A clinical grade neurostimulation implant for hierarchical control of physiological activity","source":"preprints","abstract":"Bioelectronic implants for neurostimulation aim to steer disordered neurophysiological processes back towards a healthy state. However, physiology is subject to biological rhythms, including the circadian rhythm and the sleep-wake cycle. These predictable rhythms affect disease symptomatology, biomarkers used in closed-loop therapies, and a physiological system’s expected response to stimulation. Therefore, therapeutic devices should incorporate feedforward elements to align algorithm parameters with predictable changes in physiological state, as a parallel of physiological rheostatic control. Here we introduce the DyNeuMo-2c, the first clinical-grade implant capable of delivering closed-loop neurostimulation while flexibly changing its functional configuration according to time of day. The device can chronically measure brain activity and motion state to track potential biomarker patterns in natural, out-of-clinic settings, allowing identification and targeting of patient-specific chronotypes. The system implements a hierarchical control flow, with baseline therapy set by a circadian scheduler, and adaptive policies layered to take effect based on specific biomarkers indicating patient and disease state. Using a benchtop validation setup, we demonstrate that the system has the required capabilities for delivering time-contingent closed-loop therapy in two established clinical use cases: Parkinson’s disease and epilepsy. Next, we deploy the system in vivo to deliver closed-loop deep brain stimulation in a healthy non-human primate model of vigilance, highlighting the importance of synchronisation between device operation and physiological state in various conditions (task performance, unconstrained behaviour, and sleep). Time-of-day-dependent adaptation of closed-loop stimulation enabled modulation of both vigilance and behaviour. Overall, the novel device architecture provides a proof-of-concept for delivering time-contingent therapy in chronic therapeutic settings where biological rhythms are of key importance.","url":"https://doi.org/10.1101/2025.10.21.683630","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.21.683630","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.11.26.625485","name":"fluxTrAM: Integration of tracer-based metabolomics data into atomically resolved genome-scale metabolic networks for metabolic flux analysis","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.26.625485","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.11.26.625485","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.4572518","name":"Social Distancing, Water Demand Changes, and Quality of Drinking Water During the Covid-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4572518","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4572518","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.22541/au.167367793.36266349/v1","name":"Analysis of Perinatal Outcome During COVID- 19 Pandemic Lockdown: a cross sectional study","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.167367793.36266349/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.22541/au.167367793.36266349/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.3936353","name":"Digital Public Space – A Missing Policy Frame for Shaping Europe's Digital Future","source":"preprints","abstract":"The 2030 Digital Compass, a key European Union strategic document that defines a digital policy for this decade, opens with a sketch of the current context: the COVID-19 pandemic. It mentions that technologies are now imperative in all fields of social life, a truth well established by the idea of digitization yet only confirmed this year. It also notes the vulnerabilities and risks of using the digital space, highlighting disinformation and dependency on non-European technologies, in line with a regulatory approach mitigating harm, which has become visible over the last five years. Finally, it praises disruptive innovation, using the example of COVID-19 vaccines but frames development within market-based growth and innovation as core digital policy goals; however, this paragraph tellingly fails to mention the EU’s huge public investment in supporting vaccine development. Similarly, it doesn’t mention the even-more-urgent challenge of building a true digital society, which is at once resilient and just, democratic and diverse (Tarkowski 2021). In this article, we use the concept of policy frames to analyse the core goals and approaches of current and previous European digital policies. We track a shift from the Digital Single Market frame, championed by the previous Commission, to a new approach established by Ursula von der Leyen and her Commission through the Shaping Europe’s Digital Future strategy. We define the shift as a digital constitutionalist turn characterized by a bold policy reform program that aims to fix digital markets. We point to the lack of a clear policy frame and argue that Europe’s digital strategy would be strengthened by policies based on a digital public sphere. Introducing this policy imaginary, accompanied by a mission-driven approach at the core of policymaking, would strengthen European digital policies and allow them to attain the current twin-transition ambition of the European Commission: a digital and green transformation. Finally, we present entry points and initial principles for introducing this policy frame, highlighting existing policy initiatives that are already aligned with a digital public sphere perspective.","url":"https://doi.org/10.2139/ssrn.3936353","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3936353","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.64898/2026.03.03.709017","name":"Distinct mechanisms of CNV formation at the human 15q13.3 locus","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.03.709017","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.03.709017","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.03.21.533548","name":"Foundation model of neural activity predicts response to new stimulus types and anatomy","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.03.21.533548","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.03.21.533548","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202307.0662.v1","name":"The Impacts of COVID-19 and Roles of Artificial Intelligence on Energy Sector: An Analytical Review on the Pre-, Mid- and Post-Pandemic Perspectives","source":"preprints","abstract":"Abstract: The COVID-19 pandemic has disrupted global energy markets and caused significant socio-economic impacts worldwide. The pandemic has also impacted the energy sector, with demand for energy reducing due to lockdowns and reduced economic activity. Hence, this paper aims to provide a comprehensive and analytical review of the impact of COVID-19 on the energy sector and discuss the potential role of artificial intelligence (AI) in mitigating some of these effects. This review examines the changes in energy demand patterns resulting from the pandemic and the implications for the energy industry, including the shifts in policymaking, communication, digital technology, energy conversion, environmental, energy market, and power system operation. The analysis of the energy pattern is discussed according to the timeframes which include pre-, mid-, and post-pandemic periods. Furthermore, we explore how AI can be used to improve energy efficiency, optimize energy use, and reduce energy wastages. The potential for AI to contribute to developing more efficient and sustainable energy systems has also been addressed. Lastly, we highlighted AI’s challenges, which play a significant role in the energy sector&#039;s response to the COVID-19 pandemic. The recommendations for AI applications in the energy sector for the transition to a more sustainable energy future are outlined. Information corroborated in this review is expected to provide important guidelines for crafting future research areas and directions in preparing the energy sector for any unforeseen circumstances or pandemic-like situations.","url":"https://doi.org/10.20944/preprints202307.0662.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202307.0662.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.3888120","name":"Topologies of Power in China's Grid-Style Social Management during the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3888120","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.3888120","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.4490323","name":"Does the Diffusion of New Technology-Supported Work Practices Pay Off?","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4490323","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4490323","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.08.12.25333522","name":"Nanoparticle enriched mass spectrometry proteomics in British South Asians identifies novel variant-protein-disease mechanisms","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.08.12.25333522","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.08.12.25333522","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.10.22.25338076","name":"Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.22.25338076","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.10.22.25338076","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.07.31.23293422","name":"Associations between SARS-CoV-2 infection and subsequent economic inactivity and employment status: pooled analyses of five linked longitudinal surveys","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.07.31.23293422","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.07.31.23293422","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.12.09.24318697","name":"Optimizing long-term prevention of cardiovascular disease with reinforcement learning","source":"preprints","abstract":"The prevention of chronic disease is a long-term combat with continual fine-tuning to adapt to the course of disease. Without comprehensive insights, prescriptions may prioritize short-term gains but deviate from trajectories toward long-term survival. Here we introduce Duramax, a fully evidence-based framework to optimize the dynamic preventive strategy in the long-term. This framework synchronizes reinforcement learning with real-world data modeling, leveraging the diverse treatment trajectories in electronic health records (EHR). In our study, Duramax learned from millions of treatment decisions of lipid-modifying drugs, becoming specialized in cardiovascular disease (CVD) prevention. The extensive volume of implicit knowledge Duramax harnessed far exceeded that of individual clinicians, resulting in superior performance. Specifically, when clinicians’ treatment decisions aligned with those suggested by Duramax, a reduction in CVD risk was observed. Moreover, post hoc analysis confirmed that Duramax’s decisions were transparent and reasonable. Our research showcases how tailored computational analysis on well-curated EHR can achieve high nuance in personalized disease prevention.","url":"https://doi.org/10.1101/2024.12.09.24318697","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.12.09.24318697","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2024.09.09.24313310","name":"The clinical and cost-effectiveness of interventions for preventing continence issues resulting from birth trauma: a rapid review","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.09.24313310","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1101/2024.09.09.24313310","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202102.0047.v1","name":"Digitalization and Innovative Management of Traditional Manufacturing Industry","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202102.0047.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202102.0047.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4527950","name":"Organizations of the Future: Overcoming Dilated Asynchronous Intraorganizational Communication","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4527950","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4527950","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3872434","name":"Corporate Resilience Out of the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3872434","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3872434","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.01.25.23285015","name":"HPV and HBV vaccine hesitancy, intention, and uptake in the era of social media and COVID-19: A review","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.01.25.23285015","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.01.25.23285015","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.10.20.563364","name":"Personalised metabolic whole-body models for newborns and infants predict growth and biomarkers of inherited metabolic diseases","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.10.20.563364","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.10.20.563364","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2025.05.13.25327505","name":"The role of common and rare genetic variation on adiposity across childhood","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.05.13.25327505","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.05.13.25327505","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.20944/preprints202207.0107.v1","name":"Advances in Digital Transformation: a Historical Review in Times of COVID","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202207.0107.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.20944/preprints202207.0107.v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-3635651/v1","name":"Novel genomic variants related to Visceral Adiposity Index (VAI) and Body Adiposity Index (BAI) in Indian Sib-pairs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3635651/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3635651/v1","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.2139/ssrn.4409021","name":"Efficacy and Feasibility of SMS m-Health for the Detection of Adverse Events Following Immunisation (AEFIs) in Resource-Limited Setting-The Zimbabwe Stimulated Telephone Assisted Rapid Safety Surveillance (Zm-STARSS) Randomised Control Trial","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4409021","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4409021","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2022.11.19.22282335","name":"Diagnosing early-onset neonatal sepsis in low-resource settings: development of a multivariable prediction model","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2022.11.19.22282335","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.1101/2022.11.19.22282335","addedAt":"2026-09-01T01:47:40.905Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.1101/2023.07.25.550338","name":"Large-scale cortical networks are organised in structured cycles","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.07.25.550338","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.1101/2023.07.25.550338","addedAt":"2026-09-01T01:47:40.906Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-50406/v1","name":"Sociological Modeling of Smart City with the implementation of UN Sustainable Development Goals","source":"preprints","abstract":"Abstract The COVID-19 pandemic before mass vaccination can be restrained only by the limitation of contacts between people, which makes the digital economy a key condition for survival. More than half of the world’s population lives in urban areas, and many cities have already transformed into “smart” digital / virtual habs. Digital services make city life safe without an economy lockout and unemployment. Urban society strives to be safe, sustainable, well-being, and healthy. We set the task to construct a hybrid sociological and technological concept of a smart city with matched solutions, complementary to each other. Our modeling with the elaborated digital architectures and with the bionic solution for ensuring sufficient data governance clearly showed that smart city in comparison with the traditional city is tightly interconnected inside like social “organism”. We have entered a decisive decade during which the world will change by moving closer towards SDGs targets 2030 as well as by the transformation of cities and their digital infrastructures. It is important to recognize the large vector of sociological transformation as smart cities are just a transition phase to human-centered personal space or smart home. The “atomization” of the world urban population raises the gap problem in achieving SDGs because of different approaches to constructing digital architectures for smart cities or smart homes in countries. The strategy of creating smart cities should bring each citizen closer to SDGs at the individual level, laying in the personal space the principles of sustainable development and wellness of personality.","url":"https://doi.org/10.21203/rs.3.rs-50406/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-50406/v1","addedAt":"2026-09-01T01:47:40.906Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-4322862/v1","name":"Optic disc parameters and associations with early life exposures in over 3 000 12-year-old children: findings from the ALSPAC cohort","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4322862/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4322862/v1","addedAt":"2026-09-01T01:47:40.906Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"doi:10.21203/rs.3.rs-1856418/v1","name":"The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1856418/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1856418/v1","addedAt":"2026-09-01T01:47:40.906Z","updatedAt":"2026-09-01T01:47:43.608Z"},{"id":"oa:W4399389941","name":"Unlocking the Future of Drug Development: Generative AI, Digital Twins, and Beyond","source":"openalex","abstract":"This article delves into the intersection of generative AI and digital twins within drug discovery, exploring their synergistic potential to revolutionize pharmaceutical research and development. Through various instances and examples, we illuminate how generative AI algorithms, capable of simulating vast chemical spaces and predicting molecular properties, are increasingly integrated with digital twins of biological systems to expedite drug discovery. By harnessing the power of computational models and machine learning, researchers can design novel compounds tailored to specific targets, optimize drug candidates, and simulate their behavior within virtual biological environments. This paradigm shift offers unprecedented opportunities for accelerating drug development, reducing costs, and, ultimately, improving patient outcomes. As we navigate this rapidly evolving landscape, collaboration between interdisciplinary teams and continued innovation will be paramount in realizing the promise of generative AI and digital twins in advancing drug discovery.","url":"https://doi.org/10.3390/biomedinformatics4020079","authors":["Zamara Mariam","Sarfaraz K. Niazi","Matthias Magoola"],"tags":["Generative grammar","Drug development","Drug","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-06","doi":"https://doi.org/10.3390/biomedinformatics4020079","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4416677406","name":"A Method for Model-Driven Engineering of Digital Twins in Manufacturing","source":"openalex","abstract":"Several software architectures for digital twins have been proposed, specifying their structure and key components, such as the ISO 23247 standard for manufacturing. However, systematic methodologies for developing digital twins in the manufacturing domain remain lacking. Existing research does not adequately address methodological aspects, such as composing essential digital twin components, defining their interfaces, and systematically analyzing relevant data. This gap presents a challenge for the structured development of digital twins. In this work, we introduce a systematic approach to identify key requirements for manufacturing digital twins and propose a model-driven method for their creation. Our approach enables the generation of executable digital twins based on a formalized specification. We demonstrate its applicability through multiple industrial manufacturing demonstrators, highlighting its suitability in practice. The proposed method is adaptable regarding the purpose of the digital twins to be developed and supports a largely automated process.","url":"https://doi.org/10.1109/models67397.2025.00019","authors":["Malte Heithoff","Judith Michael","Bernhard Rumpe⋆","Jérôme Pfeiffer","Andreas Wortmann","Jingxi Zhang"],"tags":["Key (lock)","Executable","Computer science","Domain (mathematical analysis)","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-05","doi":"https://doi.org/10.1109/models67397.2025.00019","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W1950020143","name":"Microstructure of Interpass Rolled Wire + Arc Additive Manufacturing Ti-6Al-4V Components","source":"openalex","abstract":"Abstract Mechanical property anisotropy is one of the issues that are limiting the industrial adoption of additive manufacturing (AM) Ti-6Al-4V components. To improve the deposits’ microstructure, the effect of high-pressure interpass rolling was evaluated, and a flat and a profiled roller were compared. The microstructure was changed from large columnar prior $$\\beta $$ β grains that traversed the component to equiaxed grains that were between 56 and 139 μ m in size. The repetitive variation in Widmanstätten $$\\alpha $$ α lamellae size was retained; however, with rolling, the overall size was reduced. A “fundamental study” was used to gain insight into the microstructural changes that occurred due to the combination of deformation and deposition. High-pressure interpass rolling can overcome many of the shortcomings of AM, potentially aiding industrial implementation of the process.","url":"https://doi.org/10.1007/s11661-015-3172-1","authors":["Filomeno Martina","Paul A. Colegrove","Stewart Williams","J. Meyer"],"tags":["Equiaxed crystals","Microstructure","Materials science","Deposition (geology)","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-10-13","doi":"https://doi.org/10.1007/s11661-015-3172-1","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385759414","name":"Recent Inventions in Additive Manufacturing: Holistic Review","source":"openalex","abstract":"This general review paper presents a condensed view of recent inventions in the Additive Manufacturing (AM) field. It outlines factors affecting the development and commercialization of inventions via research collaboration and discusses breakthroughs in materials and AM technologies and their integration with emerging technologies. The paper explores the impact of AM across various sectors, including the aerospace, automotive, healthcare, food, and construction industries, since the 1970s. It also addresses challenges and future directions, such as hybrid manufacturing and bio-printing, along with socio-economic and environmental implications. This collaborative study provides a concise understanding of the latest inventions in AM, offering valuable insights for researchers, practitioners, and decision makers in diverse industries and institutions.","url":"https://doi.org/10.3390/inventions8040103","authors":["Ismail Fidan","Orkhan Huseynov","Mohammad Alshaikh Ali","Suhas Alkunte","Mithila Rajeshirke","Ankit Gupta","Seymur Hasanov","Khalid Tantawi","Evren Yasa","Oğuzhan Yılmaz","Jennifer Loy","Vladimir V. Popov","Ankit Sharma"],"tags":["Commercialization","Aerospace","Automotive industry","Engineering","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.3390/inventions8040103","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4391995295","name":"Production digital twin: a systematic literature review of challenges","source":"openalex","abstract":"The manufacturing industry is entering the fourth industrial revolution, which aims to shift the manufacturing paradigm to data-driven smart manufacturing. Many barriers still limit the adoption of this new revolution, although enabling technologies such as a digital twin (DT) have the potential to overcome them. Since the appearance of the digital twin technology, this has led to a significant increase in academic publications and industrial applications. However, significant challenges facing the implementation of this technology stem from the emergent field stage, a need for more comprehensive information, and a need for clarity and consistency in definitions and concepts. This review identifies and categorizes the potential digital twin challenges and provides a novel conceptual framework that structures them and links them to the principal digital twin components, along with an example that elucidates the proposed framework’s utilization. The emerging relationships unveil interesting insights into the current status and future research requirements.","url":"https://doi.org/10.1080/0951192x.2024.2314792","authors":["Slimane Kerrouchi","El‐Houssaine Aghezzaf","Johannes Cottyn"],"tags":["CLARITY","Smart manufacturing","Consistency (knowledge bases)","Data science","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-21","doi":"https://doi.org/10.1080/0951192x.2024.2314792","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4392271629","name":"Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization","source":"openalex","abstract":"Laser-directed-energy deposition (DED) offers advantages in additive manufacturing (AM) for creating intricate geometries and material grading. Yet, challenges like material inconsistency and part variability remain, mainly due to its layer-wise fabrication. A key issue is heat accumulation during DED, which affects the material microstructure and properties. While closed-loop control methods for heat management are common in DED research, few integrate real-time monitoring, physics-based modeling, and control in a unified framework. Our work presents a digital twin (DT) framework for real-time predictive control of DED process parameters to meet specific design objectives. We develop a surrogate model using Long Short-Term Memory (LSTM)-based machine learning with Bayesian Inference to predict temperatures in DED parts. This model predicts future temperature states in real time. We also introduce Bayesian Optimization (BO) for Time Series Process Optimization (BOTSPO), based on traditional BO but featuring a unique time series process profile generator with reduced dimensions. BOTSPO dynamically optimizes processes, identifying optimal laser power profiles to attain desired mechanical properties. The established process trajectory guides online optimizations, aiming to enhance performance. This paper outlines the digital twin framework's components, promoting its integration into a comprehensive system for AM.","url":"https://doi.org/10.48550/arxiv.2402.17718","authors":["Vispi Karkaria","Anthony Goeckner","Rujing Zha","Jie Chen","Jianjing Zhang","Qi Zhu","Jian Cao","Robert X. Gao","Wei Chen","Karkaria, Vispi","Goeckner, Anthony","Zha, Rujing"],"tags":["Bayesian optimization","Series (stratigraphy)","Process (computing)","Computer science","Process optimization","Machine Learning (cs.LG)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.48550/arxiv.2402.17718","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"oa:W4401449888","name":"Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming","source":"openalex","abstract":"In sheet metal forming, the quality of a formed part is strongly influenced by the local lubrication conditions on the blank. Fluctuations in lubrication distribution can cause failures such as excessive thinning and cracks. Predicting these failures in real-time for the entire part is still a very challenging task. Machine learning (ML) based digital twins and advanced computing power offer new ways to analyze manufacturing processes inline in the shortest possible time. This study presents a digital twin for simulating a deep drawing process that incorporates an advanced ML model and optimization algorithm. Convolutional neural networks with RES-SE-U-Net architecture, were used to capture the full friction conditions on the blank. The ML model was trained with data from a calibrated finite element model. The ML model establishes a correlation between the local friction conditions across the blank and the quality of the drawn part. It accurately predicts the geometry and thinning of the formed part in real-time by assessing the friction conditions on the blank. A particle swarm optimization algorithm incorporates the ML model and provides tailored recommendations for adjusting local friction conditions to promptly correct detected quality deviations with minimal amount of additional lubricant. Experiments show that the ML model deployed on an industrial control system can predict part quality in real-time and recommend adjustments in case of quality deviation in 1.6 s. The error between prediction and ground truth is on average 0.16 mm for geometric accuracy and 0.02 % for thinning. • Highly accurate 3D predictions of deep drawn parts as a function of the initial lubrication on the blank are possible in real-time. • The system combines CNN and optimization to adjust the friction conditions in case of predicted part defects or quality deviations. • Computations can run in parallel with the manufacturing process as a digital twin on an industrial control system.","url":"https://doi.org/10.1016/j.rcim.2024.102848","authors":["Patrick Link","Lars Penter","Ulrike Rückert","Lars Klingel","Alexander Verl","Steffen Ihlenfeldt"],"tags":["Sheet metal","Quality (philosophy)","Materials science","Composite material","Philosophy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-09","doi":"https://doi.org/10.1016/j.rcim.2024.102848","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W3035059195","name":"Digital servitization: Crossing the perspectives of digitization and servitization","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.indmarman.2020.05.011","authors":["Heiko Gebauer","Marco Paiola","Nicola Saccani","Mario Rapaccini"],"tags":["Digitization","Product (mathematics)","Business","Service (business)","Product-service system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-10","doi":"https://doi.org/10.1016/j.indmarman.2020.05.011","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4318713470","name":"Uses and Challenges of Digital Twins-Based Augmented Reality in Operator Training and Data Visualization in Process Manufacturing Lines","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4331154","authors":["Matteo Perno","Lars Hvam","Anders Haug"],"tags":["Augmented reality","Visualization","Process (computing)","Operator (biology)","Training (meteorology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2139/ssrn.4331154","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385844139","name":"A Review of Building Information Modeling and Simulation as Virtual Representations Under the Digital Twin Concept","source":"openalex","abstract":"Building Information Modeling (BIM) is a highly promising technique for achieving digitalization in the construction industry, widely used in modern construction projects for digitally representing facilities. Nevertheless, retains limitations in terms of representing construction operations. The digital twin concept may potentially overcome these limitations and initiate advanced digital transformation in the construction industry as it has revolutionized the product lifecycle management in the manufacturing industry. This research provides a critical review of applying digital twin in the construction industry. Altogether, 140 papers from related journals and databases were reviewed. The digital aspect of twinning consists of BIM and simulation modeling. These two techniques have been used to create virtual or digital representations of actual buildings and real-world construction processes. However, integrating and applying BIM and simulation modeling according to the digital twin concept remains to be fully studied. Comprehensive evaluations of BIM, simulation modeling, and digital twin will provide a well-defined framework for this research, to identify direction and potential for digital twin in the construction industry, thereby progressing to the next level of digitalization and improvement in construction management practice.","url":"https://doi.org/10.4186/ej.2023.27.1.11","authors":["Bunnapub Visartsakul","Jirawat Damrianant"],"tags":["Computer science","Human–computer interaction","Engineering drawing","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-31","doi":"https://doi.org/10.4186/ej.2023.27.1.11","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3109750554","name":"Digital Twin in Circular Economy: Remanufacturing in Construction","source":"openalex","abstract":"Abstract Global warming attracts increasing public attention. However, in the past few decades, the contribution of construction to greenhouse gas emissions is around 40% of total emissions. The promotion of construction waste remanufacturing faces challenges. The application of digital twins in the remanufacturing of construction waste contributes to the tracking, recycling and management of construction waste. This article reviews the current research on construction waste remanufacturing and the application of Digital Twin in construction and remanufacturing, aiming at finding the current challenge of construction waste remanufacturing and the opportunity of Digital Twin to solve it. Then, the Digital Twin platform concept for construction waste remanufacturing is provided as a solution for the current challenges. Theoretically, this paper points out the shortcomings of the current research in construction waste remanufacturing based on literature review. Meanwhile, this article proposes the application of Digital Twin in construction waste remanufacturing, which expands the research scope of circular economy in construction. In fact, this research has driven the Digital Twin application in more industries. Besides, this research proposes a concept of potential solutions for the current challenges of construction waste in circular economy.","url":"https://doi.org/10.1088/1755-1315/588/3/032014","authors":["Ziyue Chen","Lizhen Huang"],"tags":["Remanufacturing","Circular economy","Scope (computer science)","Reverse logistics","Greenhouse gas"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-01","doi":"https://doi.org/10.1088/1755-1315/588/3/032014","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4307435125","name":"Digital power grid based on digital twin: Definition, structure and key technologies","source":"openalex","abstract":"Under the background of the 4th industrial revolution, digital twin technology has been constantly integrated with the power grid business. Power grid will build a digital twin grid covering the whole physical grid and production process. This paper first proposes the digital power grid based on digital twin. A closed-loop power grid data empowerment system is introduced to define the digital power grid based on digital twin, the three features and properties are described to enrich the digital power grid connotation. It constructs the digital power grid architecture including physical power grid, perception layer, transport layer, data layer, platform layer and application layer. The key technologies are also discussed to embody digital power grid.","url":"https://doi.org/10.1016/j.egyr.2022.10.328","authors":["Hao Bai","Yuli Wang"],"tags":["Grid","Computer science","Key (lock)","Grid computing","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-27","doi":"https://doi.org/10.1016/j.egyr.2022.10.328","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4295185247","name":"Applying digital twins for the management of information in turnaround event operations in commercial airports","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2022.101723","authors":["Javier Conde","Andres Muñoz-Arcentales","Mario Romero","Javier Rojo","Joaquín Salvachúa","Gabriel Huecas","Álvaro Alonso"],"tags":["Schedule","Aerospace","Service (business)","Computer science","Event (particle physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-11","doi":"https://doi.org/10.1016/j.aei.2022.101723","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4415050885","name":"Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cirpj.2025.08.006","authors":["Marcello Urgo","Walter Terkaj","Lei Liu"],"tags":["Interdependence","Computer-integrated manufacturing","Computer science","Identification (biology)","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-11","doi":"https://doi.org/10.1016/j.cirpj.2025.08.006","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4313898553","name":"A data-driven smart management and control framework for a digital twin shop floor with multi-variety multi-batch production","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-023-10815-5","authors":["Jiapeng Zhang","Jianhua Liu","Cunbo Zhuang","Haoxin Guo","Hailong Ma"],"tags":["Variety (cybernetics)","Key (lock)","Process (computing)","Industrial engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-10","doi":"https://doi.org/10.1007/s00170-023-10815-5","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3139249489","name":"Vision on a Digital Twin of the Road-Tire-Vehicle System for Future Mobility","source":"openalex","abstract":"ABSTRACT Innovative trends such as autonomous cars and smart vehicles have gained increasing attention and will form a new mobility technology. At the same time, the appearance of smart tire systems will give rise to better tire performance, better vehicle control, and the enhancement of current intelligent systems for autonomous vehicles. In contrast, innovations for the road system, which must carry the increasing traffic loads, have been rare in recent years. However, to solve current and future challenges of mobility related to road transport (e.g., durability, safety, efficiency, ecology, cost, etc.), the potential for innovative trends and digitalization of all interacting components—vehicle, tire, and road—should be used to change the industrial ecosystem and paradigm of transport in human life. The vision of a digital twin of the road system, which is the digital/virtual image (reality model in space and time) of the vehicle, tire, and roadway, would enable, among other aspects, the future pioneering condition predictions of single components (ranging from manufacturing, service to failure state), targeted traffic control, optimal synthesis of building materials and structures, interfaces to automated driving, as well as reduction in emissions. The digital twin of the road system contains and combines all available and relevant information about the “road of the future” system from physical examinations and modeling as well as from data-driven models and further available data (e.g., real-time sensor data from the vehicle, tire and road sensors, data models, etc.). This contribution presents the current state of research, tasks, and challenges toward achieving the digital twin of the road system as well as the potential of the digital twin for future mobility.","url":"https://doi.org/10.2346/tire.21.190223","authors":["Michael Kaliske","Ronny Behnke","Ines Wollny"],"tags":["Automotive engineering","Intelligent transportation system","Engineering","Computer science","Transport engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.2346/tire.21.190223","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4390610597","name":"Uncertainty-aware explainable AI as a foundational paradigm for digital twins","source":"openalex","abstract":"In the era of advanced manufacturing, digital twins have emerged as a foundational technology, offering the promise of improved efficiency, precision, and predictive capabilities. However, the increasing presence of AI tools for digital twin models and their integration into industrial processes has brought forth a pressing need for trustworthy and reliable systems. Uncertainty-Aware eXplainable Artificial Intelligence (UAXAI) is proposed as a critical paradigm to address these challenges, as it allows for the quantification and communication of uncertainties associated with predictive models and their corresponding explanations. As a platform and guiding philosophy to promote human-centered trust, UAXAI is based on five fundamental pillars: accessibility, reliability, explainability, robustness, and computational efficiency. The development of UAXAI caters to a diverse set of stakeholders, including end users, developers, regulatory bodies, the scientific community, and industrial players, each with their unique perspectives on trust and transparency in digital twins.","url":"https://doi.org/10.3389/fmech.2023.1329146","authors":["Joseph Cohen","Xun Huan"],"tags":["Trustworthiness","Transparency (behavior)","Computer science","Robustness (evolution)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-04","doi":"https://doi.org/10.3389/fmech.2023.1329146","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4403147453","name":"Enhancing Smart Manufacturing Systems: A Digital Twin Approach Employing Simulation, Flexible Robots and Additive Manufacturing Technologies","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-68435-7_20","authors":["Romão Santos","Cláudia Rocha","Rui Dias","João Quintas"],"tags":["Smart manufacturing","Robot","Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-68435-7_20","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3091691208","name":"Digital Twin Approach for Tool Wear Monitoring of Micro-Milling","source":"openalex","abstract":"This paper presents a novel implementation of digital twin (DT) technology in monitoring the wear condition of micro tool (TWM) during micro-milling process. The proposed DT is capable to predict the wear condition of micro tool using electric current data of spindle motor. This minimal setup of the system gives potential benefits for various deployment in real industrial practice. A miniaturized 5-axis micro-milling machine was used in the experiment to perform slot milling in micro-meter level. The proposed DT shows promising result of TCM in micro-milling within Industry 4.0 framework.","url":"https://doi.org/10.1016/j.procir.2020.03.140","authors":["Christiand Christiand","Gandjar Kiswanto"],"tags":["Tool wear","Machine tool","Process (computing)","Software deployment","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.03.140","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4372349028","name":"On the Use of the Digital Twin Concept for the Structural Integrity Protection of Architectural Heritage","source":"openalex","abstract":"Undoubtedly, heritage buildings serve as essential embodiments of the cultural richness and diversity of the world’s states, and their conservation is of the utmost importance. Specifically, the protection of the structural integrity of these buildings is highly relevant not only because of the buildings themselves but also because they often contain precious artworks, such as sculptures, paintings, and frescoes. When a disaster causes damage to heritage buildings, these artworks will likely be damaged, resulting in the loss of historical and artistic materials and an intangible loss of memory and identity for people. To preserve heritage buildings, state-of-the-art recommendations inspired by the Venice Charter of 1964 suggest real-time monitoring of the progressive damage of existing structures, avoiding massive interventions, and providing immediate action in the case of a disaster. The most up-to-date digital information and analysis technologies, such as digital twins, can be employed to fulfil this approach. The implementation of the digital twin paradigm can be crucial in developing a preventive approach for built cultural heritage conservation, considering its key features of continuous data exchange with the physical system and predictive analysis. This paper presents a comprehensive overview of the digital twin concept in the architecture, engineering, construction, and operation (AECO) domain. It also critically discusses some applications within the context of preserving the structural integrity of architectural heritage, with a particular emphasis on masonry structures. Finally, a prototype of the digital twin paradigm for the preservation of heritage buildings’ structural integrity is proposed.","url":"https://doi.org/10.3390/infrastructures8050086","authors":["Annalaura Vuoto","‪Marco Francesco Funari","Paulo B. Lourénço"],"tags":["Cultural heritage","Architectural engineering","Context (archaeology)","Architecture","Industrial heritage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-04","doi":"https://doi.org/10.3390/infrastructures8050086","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2989466591","name":"Distributed Manufacturing Systems with Digital Agent","source":"openalex","abstract":"This paper presents a novel approach to implement manufacturing nodes using the combined strength of digital twins, holons, and digital agents. Manufacturing nodes are based on holon theory and present a universal manufacturing platform that consists of cyber-physical systems (CPS) with an integrated digital twin, digital agent, databases and various communication protocols. The manufacturing node network is controlled globally using the global digital twin of logistics process and locally using the local nodes and local digital agents, digital twins and information shared by the node network. The main objective of this research was to develop and test a new concept of distributed system modelling and distributed system control for easy implementation of distributed manufacturing nodes in a smart factory concept.","url":"https://doi.org/10.5545/sv-jme.2019.6331","authors":["Niko Herakovič","Hugo Zupan","Miha Pipan","Jernej Protner","Marko Šimić"],"tags":["Distributed manufacturing","Node (physics)","Factory (object-oriented programming)","Computer science","Smart manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-18","doi":"https://doi.org/10.5545/sv-jme.2019.6331","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4286972853","name":"Graph Learning for Cognitive Digital Twins in Manufacturing Systems","source":"openalex","abstract":"Future manufacturing requires complex systems that connect simulation platforms and virtualization with physical data from industrial processes. Digital twins incorporate a physical twin, a digital twin, and the connection between the two. Benefits of using digital twins, especially in manufacturing, are abundant as they can increase efficiency across an entire manufacturing life-cycle. The digital twin concept has become increasingly sophisticated and capable over time, enabled by rises in many technologies. In this paper, we detail the cognitive digital twin as the next stage of advancement of a digital twin that will help realize the vision of Industry 4.0. Cognitive digital twins will allow enterprises to creatively, effectively, and efficiently exploit implicit knowledge drawn from the experience of existing manufacturing systems. They also enable more autonomous decisions and control, while improving the performance across the enterprise (at scale). This paper presents graph learning as one potential pathway towards enabling cognitive functionalities in manufacturing digital twins. A novel approach to realize cognitive digital twins in the product design stage of manufacturing that utilizes graph learning is presented.","url":"https://doi.org/10.48550/arxiv.2109.08632","authors":["Trier Mortlock","Deepan Muthirayan","Shih-Yuan Yu","Pramod P. Khargonekar","Mohammad Abdullah Al Faruque"],"tags":["Computer science","Exploit","Graph","Virtualization","Cognition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-17","doi":"https://doi.org/10.48550/arxiv.2109.08632","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3166028001","name":"Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model","source":"openalex","abstract":"Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. Circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e. able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of Cognitive Digital Twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. Emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.","url":"https://doi.org/10.20944/preprints202103.0005.v1","authors":["Kostas Kalaboukas","Jože M. Rožanec","Aljaž Košmerlj","Dimitrios C. Kyritsis","Georgios Arampatzis"],"tags":["Supply chain","Agile software development","Software deployment","Process management","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-01","doi":"https://doi.org/10.20944/preprints202103.0005.v1","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3209504133","name":"FRAMEWORK FOR COUPLED DIGITAL TWINS IN DIGITAL MACHINING","source":"openalex","abstract":"This paper presents a further elaboration of the use of the digital twin concept in digital machining. The main goal of the research is an attempt to combine digital representations of different objects involved in the machining process in a holistic manner. Digital twins of the in-process workpiece, cutting tool, clamping, and machine tool along with the process twin are connected in a framework in which all these elements can influence each other. The framework shows different levels of integration of different digital twins and practical recommendation on the implementation. Besides, the framework supports a simulation layer that provides data for the intensity of the interaction. Such interactions can result in, for instance, cascading calculations of cutter workpiece engagement, cutting forces, tool wear, tool deflection, chatter, and so on. Eventually, a design for a software mockup was elaborated to present the developed framework. The entire workflow to simulate part machining in such a digital representation can be used as an ultimate tool for CAM simulation and NC verification within the Zero Defect Manufacturing paradigm.","url":"https://doi.org/10.17973/mmsj.2021_11_2021158","authors":["Denys Plakhotnik","A. Curutiu","Module Works SRL, Bucharest, Romania","A. Zhulavskyi","Xavier Beudaert","IDEKO S Coop: Elgoibar, Spain","Jokin Muñoa","IDEKO S Coop: Elgoibar, Spain","Marc Stautner"],"tags":["Machining","Workflow","Clamping","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-25","doi":"https://doi.org/10.17973/mmsj.2021_11_2021158","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4380359224","name":"Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin","source":"openalex","abstract":"Aeroengine mainshaft bearings are key components in modern aeroengines, and their main functions are to support the rotation of the main shaft of the aeroengine in harsh environments, such as high temperature, heavy load, high speed and oil break; reduce the friction coefficient during the high-speed rotation of the main shaft; and reliably ensure the rotation accuracy and power transmission of the aeroengine’s main shaft during operation. The manufacture of aeroengine mainshaft bearings requires complex processes and precise machining to ensure high performance and reliability, and how to intelligently complete the production and manufacture of mainshaft bearings and ensure the strength and accuracy of the bearings, quickly distinguish the fault types of the bearings and efficiently calculate, analyze and predict the life of the bearings are the current research hotspots. Therefore, building a high-fidelity and computationally efficient digital twin life cycle of aeroengine mainshaft bearings is a valuable solution. This paper summarizes the key manufacturing technology, manufacturing mode and manufacturing process based on digital twins in the life cycle of aeroengine mainshaft bearings, including the metallurgical process, heat treatment process and grinding process of aeroengine mainshaft bearings. It presents a fault diagnosis and life analysis of mainshaft bearings of aeroengines, discussing the key technologies and research directions of the life cycle of mainshaft bearings based on digital twins.","url":"https://doi.org/10.3390/pr11061768","authors":["Yunfeng Li","Ming Li","Zhong Yan","Ruoxuan Li","Ao Tian","Xinming Xu","Hang Zhang"],"tags":["Bearing (navigation)","Engineering","Fault (geology)","Process (computing)","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-10","doi":"https://doi.org/10.3390/pr11061768","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3103181892","name":"Shaping Digital Innovation Via Digital-related Capabilities","source":"openalex","abstract":"Abstract The aim of this research was to explore the conditions under which digital innovation opportunities emerge in small and medium-sized enterprises (SMEs). The research answered the question of what capabilities are required to shape the exploitation of digital innovation, namely market offerings and the digital business process. To address the research question with a quantitative research method, data were collected through survey questionnaires distributed among 280 SMEs operating in the service and manufacturing industries in Finland. The results revealed that among four digital-related capabilities—namely human, collaboration, technical, and innovation capabilities—human, technical, and innovation capabilities contribute to market offerings, while human, collaboration, and technical capabilities contribute to the business process.","url":"https://doi.org/10.1007/s10796-020-10089-2","authors":["Mina Nasiri","Minna Saunila","Juhani Ukko","Tero Rantala","Hannu Rantanen"],"tags":["Business","Service innovation","Knowledge management","Process (computing)","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-12","doi":"https://doi.org/10.1007/s10796-020-10089-2","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4384026743","name":"Design and operations framework for the Twin Transition of manufacturing systems","source":"openalex","abstract":"Manufacturing companies are facing what recently has been called the Twin Transition. They must conduct a digital transition as well as a transition from mere linear toward more circular value creation. The research presents an integrated Design and Operations Framework for digital and circular manufacturing systems. Defined process phases of the framework are described which address: the maturity assessment, Objectives and Key Results, the design (Des) and operations (Ops) of the manufacturing system, and a training concept. The authors follow a qualitative research approach for developing the integrated DesOps Framework for Circular and Digital Manufacturing Systems. The framework is conceptualized by combining state-of-the-art procedures and methods in the field of maturity and readiness assessment, Objectives and Key Results, Systems Engineering, and DesOps. Eventually, a case study is utilized for verifying the principal efficacy of the conceptualized framework. The research intends to scientifically contribute to the field of manufacturing systems design by proposing a novel design framework. From industrial application perspective, the research intends to contribute to improving decision-making in manufacturing companies by providing them with a practical-oriented guideline for transforming their manufacturing systems in the sense of the Twin Transition.","url":"https://doi.org/10.14743/apem2023.1.459","authors":["Theo G.M. van Erp","Niels Gorm Malý Rytter"],"tags":["Principal (computer security)","Field (mathematics)","Maturity (psychological)","Process management","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-30","doi":"https://doi.org/10.14743/apem2023.1.459","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4389053099","name":"Ontology of 3D virtual modeling in digital twin: a review, analysis and thinking","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-023-02246-6","authors":["Yuchen Wang","Xinheng Wang","Ang Liu","Junqing Zhang","Jinhua Zhang"],"tags":["Computer science","Virtual reality","Modeling and simulation","Ontology","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-27","doi":"https://doi.org/10.1007/s10845-023-02246-6","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2789451212","name":"Digital Twins In Farm Management: Illustrations From The Fiware Accelerators Smartagrifood And Fractals","source":"openalex","abstract":"The Internet of Things (IoT) provides a vision of a world in which the Internet extends into the real world embracing everyday objects. In the IoT, physical objects are accompanied by Digital Twins: virtual, digital equivalents to physical objects. The interaction between real/physical and digital/virtual objects (digital twins) is an essential concept behind this vision. Digital twins can act as a central means to manage farms and has the potential to revolutionize agriculture. It removes fundamental constraints concerning place, time, and human observation. Farming operations would no longer require physical proximity, which allows for remote monitoring, control and coordination of farm operations. Moreover, Digital Twins can be enriched with information that cannot be observed (or not accurately) by the human senses, e.g. sensor and satellite data. A final interesting angle is that Digital Twins do not only represent actual states, but can also reproduce historical states and simulate future states. As a consequence, applications based on Digital Twins, if properly synchronized, enable farmers and other stakeholders to act immediately in case of (expected) deviations. This paper introduces the concept of Digital Twins and illustrate its application in agriculture by six cases of the SmartAgriFood and Fractals accelerator projects (2014-2016).","url":"https://doi.org/10.5281/zenodo.893661","authors":["C.N. Verdouw","J.W. Kruize"],"tags":["The Internet","Computer science","Human–computer interaction","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-10-16","doi":"https://doi.org/10.5281/zenodo.893661","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2001423242","name":"Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data","source":"openalex","abstract":"OBJECTIVE: To generate physical fetal models using images obtained by three-dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. METHODS: Images from 33 fetuses, including three sets of twins, were used. Fifteen fetuses were normal and evaluated only by 3DUS. Eighteen cases had abnormalities such as conjoined twins, tumors, aneuploidy, skeletal abnormalities, central nervous system abnormalities and facial or thoracic defects. Scans were performed using high-resolution 3DUS. In cases of abnormalities, MRI and CT were performed on the same day as 3DUS. The images obtained with 3DUS, CT or MRI were exported to a workstation in DICOM format. A single observer performed slice-by-slice manual segmentation using a digital high-definition screen. Software that converts medical images into numerical models was used to construct virtual 3D models, which were physically realized using additive manufacturing technologies. RESULTS: Physical models based on 3DUS, MRI and CT images either separately or combined were successfully generated. They were remarkably similar to the postnatal appearance of the aborted fetus or newborn baby, especially in cases with pathology. CONCLUSION: The use of 3DUS, MRI and CT may improve our understanding of fetal anatomical characteristics, and these technologies can be used for educational purposes and as a method for parents to visualize their unborn baby. The images can be segmented and applied separately or combined to construct 3D virtual and physical models.","url":"https://doi.org/10.1002/uog.7619","authors":["Heron Werner","Jorge Roberto Lopes dos Santos","Rosita Fontes","Pedro Daltro","Emerson L. Gasparetto","Edson Marchiori","Stuart Campbell"],"tags":["Medicine","Magnetic resonance imaging","DICOM","Radiology","Conjoined twins"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-03-04","doi":"https://doi.org/10.1002/uog.7619","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3101047204","name":"A digital twins concept model for integrated maintenance: a case study for crane operation","source":"openalex","abstract":"Abstract The paper presents an Integrated Maintenance Decision Making Model (IMDMM) concept for cranes under operation especially into the container type terminals. The target is to improve cranes operational efficiency through minimizing the risk of the Gantry Cranes Inefficiency (GCI) results based on the implementation of the Digital Twins concept for maintenance purposes. The proposed model makes a joint transportation process and crane maintenance scheduling, relevant to assure more robust performances in stochastic environments, as well as to assess and optimize performances at different levels, from components and transport device to production systems (container terminal). The crane operation risk is estimated with a sequential Markov chain Monte Carlo simulation model and the optimization model behind of IMDMM is supported through the Particle Swarm Optimization algorithms because the objective function a non-linear stochastics problem with bounded constrains. The developed model allows the container terminal operators (management process) to obtain a maintenance schedule that minimizes the GCI (holistic indicator), as well as establishing the desired level of risk. The paper demonstrates the effectiveness of the proposed maintenance decision making concept model for cranes under operation using data from of a real container terminal (case study).","url":"https://doi.org/10.1007/s10845-020-01689-5","authors":["Janusz Szpytko","Yorlandys Salgado Duarte"],"tags":["Scheduling (production processes)","Container (type theory)","Engineering","Schedule","Inefficiency"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-07","doi":"https://doi.org/10.1007/s10845-020-01689-5","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4406612052","name":"Simulation Aspects of a Generic Digital Twin Ecosystem for Computer Numerical Control Manufacturing Processes","source":"openalex","abstract":"This work considers a generic Digital Twin Ecosystem (DTE) for computer numerical control manufacturing processes. The DTE aims to accurately model physical systems' behavior in 3D virtual space, improve stakeholder decision-making based on real-time analytics, and generate insight for autonomous process intervention. The DTE uses the Unity real-time development platform to integrate online simulation for process replication, remote monitoring and management of the manufacturing process, and offline simulation for “what-if” analysis and exploration of process variables under various operational scenarios. Online and offline simulation could be combined to enhance twinning with predictive capabilities for timely autonomous intervention. In this work, we describe the architecture of the generic DTE, detail its components, and demonstrate its universal applicability through two case studies in Additive and Subtractive Manufacturing. We also discuss simulation aspects of the DTE, focusing on process replication and process lookahead.","url":"https://doi.org/10.1109/wsc63780.2024.10838983","authors":["Minas Pantelidakis","Konstantinos Mykoniatis"],"tags":["Computer science","Ecosystem","Control (management)","Distributed computing","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838983","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3175230485","name":"Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare","source":"openalex","abstract":"Abstract As the population grows, the need for higher-quality medical services increases, as well as the demand for information technology in medicine. The Smart Healthcare concept brings various approaches to address the acute problems encountered in modern healthcare. In this paper, we review the main problems of modern healthcare and analyze existing approaches and technologies in digital twins, the Internet of Things, and mobile medicine. We will also analyze the key features of modern platforms that support Mobile Health Applications. Finally, based on our analysis, we will propose the concept of Smart Healthcare Platform, focused on solving tasks related to supporting the development of Mobile Health Applications, including organizing access, management, and sharing of user data.","url":"https://doi.org/10.1134/s0361768821080284","authors":["Иван Васильевич Волков","G. Radchenko","Andrei Tchernykh"],"tags":["Health care","Key (lock)","Computer science","The Internet","Mobile technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-01","doi":"https://doi.org/10.1134/s0361768821080284","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4378528384","name":"Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects","source":"openalex","abstract":"A digital twin basin serves as a virtual representation of a physical basin, enabling synchronous simulation, virtual–real interaction, and iterative optimization. The construction of a digital twin basin requires a basin database characterized by large-scale coverage, high-precision, high-resolution, and low-latency attributes. The advancements in remote sensing technology present a new technical means for acquiring essential variables of the basin. The purpose of this paper was to provide a comprehensive overview and discussion of the retrieval principle, data status, evaluation and inter-comparison, advantages and challenges, applications, and prospects of remote sensing technology in capturing seven essential variables, i.e., precipitation, surface temperature, evapotranspiration, water level, river discharge, soil moisture, and vegetation. It is indicated that remote sensing can be applied in some digital twin basin functions, such as drought monitoring, precipitation forecasting, and water resources management. However, more effort should be paid to improve the data accuracy, spatiotemporal resolution, and latency through data merging, data assimilation, bias correction, machine learning algorithms, and multi-sensor joint retrieval. This paper will assist in advancing the application of remote sensing technology in constructing a digital twin basin.","url":"https://doi.org/10.3390/w15112040","authors":["Xiaotao Wu","Guihua Lu","Zhiyong Wu"],"tags":["Evapotranspiration","Remote sensing","Computer science","Structural basin","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-27","doi":"https://doi.org/10.3390/w15112040","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4399457238","name":"From cloud manufacturing to cloud–edge collaborative manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102790","authors":["Liang Guo","Yunlong He","Changcheng Wan","Yuantong Li","Longkun Luo"],"tags":["Cloud manufacturing","Cloud computing","Enhanced Data Rates for GSM Evolution","Computer science","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-08","doi":"https://doi.org/10.1016/j.rcim.2024.102790","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4392915470","name":"Additive Manufacturing and 3D Printing Innovations","source":"openalex","abstract":"Additive manufacturing (AM), commonly known as 3D printing, has emerged as a transformative technology with profound implications for multiple industries. The convergence of AM with Industry 4.0 principles and advanced technologies has given rise to Industry 5.0, a new era of manufacturing characterized by enhanced integration and digitalization. This chapter explores the dynamic landscape of AM within the context of Industry 5.0, highlighting research trends, innovations, and challenges. Key developments include materials advancements, multi-material printing, digital twins, bioprinting, AI-driven design, and sustainability initiatives. Industry 5.0's impact is felt globally, with applications spanning aerospace, healthcare, fashion, and beyond. Collaboration between academia and industry, regulatory frameworks, and the pursuit of sustainable practices are driving forces shaping the future of AM in Industry 5.0.","url":"https://doi.org/10.4018/979-8-3693-0968-1.ch010","authors":["M. D. Mohan Gift","T. S. Senthil","Dler Salih Hasan","K. Alagarraja","P. Jayaseelan","Sampath Boopathi"],"tags":["Transformative learning","3D printing","Context (archaeology)","Sustainability","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-18","doi":"https://doi.org/10.4018/979-8-3693-0968-1.ch010","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3003718917","name":"Digital Twins for Industry 4.0 and Beyond","source":"openalex","abstract":"Digital twins (DT) and cyber-physical systems (CPS) are two independently developed yet comparable supporting concepts for smart manufacturing, or “Industry 4.0” in a more popular term. Both of their working principle are based on a close interaction between a physical object and its digital counterpart. Such similarity arouses our curiosity on the association between them. The purpose of this study is to highlight the associations between DT and CPS. With the help of co-word analysis, we find that the two terms seldom co-appear in the literature. Nevertheless, they link to a similar set of enabling-technology terms although with different weighting on these terms, implying that they are established on a similar set of technologies. We suggest that topics within a field being developed independent of each other in the early stage is a common phenomenon. The two currently separate literature streams are likely to merge into one in the foreseeable future. We also discuss the future prospect of DT. Other than manufacturing, DT has great potential in applications such as health care and e-commerce.","url":"https://doi.org/10.1109/ieem44572.2019.8978614","authors":["Yuling Hsu","Jing-Ming Chiu","John S. Liu"],"tags":["Merge (version control)","Computer science","Weighting","Data science","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-01","doi":"https://doi.org/10.1109/ieem44572.2019.8978614","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2946819090","name":"Optimizing manufacturing & supply chains using digital twin systems","source":"openalex","abstract":"Systems Navigator is proud to present two compelling case studies of digital twin systems, where with the help of our advanced discrete event simulation technology, our clients have been able to save money, increase customer satisfaction and reduce risk. The first case study is about a simulation model for a new coil warehouse in the steel industry that is used for analysis & optimization of the layout. The final solution consists of a Simio simulation model, with a Scenario Navigator user interface. The second case study is about a simulation model for a live supply chain of marine shipments in the oil industry, that is used to design the supply chain, as well as predict possible future scenario's. This operational system runs on an Arena simulation model, and is operated through a Scenario Navigator user interface.","url":"https://doi.org/10.5555/3320516.3321106","authors":["Rienk Bijlsma","Daan Merkestejin"],"tags":["Supply chain","Discrete event simulation","Computer science","Interface (matter)","Simulation modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-12-09","doi":"https://doi.org/10.5555/3320516.3321106","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4224290167","name":"Digital Twins for scFv Production in Escherichia coli","source":"openalex","abstract":"Quality-by-Design (QbD) is demanded by regulatory authorities in biopharmaceutical production. Within the QbD frame advanced process control (APC), facilitated through process analytical technology (PAT) and digital twins (DT), plays an increasingly important role as it can help to assure to stay within the predefined proven acceptable range (PAR).This ensures high product quality, minimizes failure and is an important step towards a real-time-release testing (RTRT) that could help to accelerate time-to-market of drug substances, which is becoming even more important in light of dynamical pandemic situations. The approach is exemplified on scFv manufacturing in Escherichia coli. Simulation results from digital twins are compared to experimental data and found to be accurate and precise. Harvest is achieved by tangential flow filtration followed by product release through high pressure homogenization and subsequent clarification by tangential flow filtration. Digital twins of the membrane processes show that shear rate and transmembrane pressure are significant process parameters, which is in line with experimental data. Optimized settings were applied to 0.3 bar and a shear rate of 11,000 s−1. Productivity of chromatography steps were 5.3 g/L/d (Protein L) and 2167 g/L/d (CEX) and the final product concentration was 8 g/L. Based on digital twin results, an optimized process schedule was developed that decreased purification time to one working day, which is a factor-two reduction compared to the conventional process schedule. This work presents the basis for future studies on advanced process control and automation for biologics production in microbials in regulated industries.","url":"https://doi.org/10.3390/pr10050809","authors":["Heribert Helgers","Alina Hengelbrock","A. Schmidt","Florian Lukas Vetter","Alex Juckers","Jochen Strube"],"tags":["Bioprocess","Process engineering","Computer science","Automation","Critical quality attributes"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-20","doi":"https://doi.org/10.3390/pr10050809","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4400583487","name":"Live fitting of process data within digital twins of manufacturing to use simulation and optimisation","source":"openalex","abstract":"In production scenarios, uncertainty in production times, and scrap rates is common. Uncertainty can be described by stochastic models that need continuous updates due to changing conditions. This paper models probability distributions and estimates their parameters from real-world data on processing times and scrap rates. It uses live fitting to identify timely changes in the data sets, comparing different distributions. The fitting and live fitting approaches are applied to data from a real production system to compare the goodness of fit for different distributions and to demonstrate the reliability of the reaction to changes in the input data. Data and probability estimations are categorised, and a concept combining simulation and optimisation models is developed to optimise scheduling. The vision of the research presented in this paper is an online approach that determines quasi-optimal schedules for production systems based on current data from the system and its environment.","url":"https://doi.org/10.1080/17477778.2024.2376711","authors":["Christin Schumacher","Jonas Stilling","Jan Kriege","Peter Buchholz"],"tags":["Computer science","Scrap","Scheduling (production processes)","Probability distribution","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.1080/17477778.2024.2376711","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4400764755","name":"Exploring Data for Construction Digital Twins: Building Health and Safety and Progress Monitoring Twins Using the Unreal Gaming Engine","source":"openalex","abstract":"Although digital twins have been established in manufacturing for a long time, they are only more recently making their way into the urban environment and present a relatively new concept for the construction industry. The concept of a digital twin—a model of the physical environment that has a real-time two-way link between the physical and the digital, with the virtual model changing over time to reflect changes in the real world—lends itself well to the continually changing environment of a construction project. Predictive capabilities built into a twin also have great potential for construction planning—including in supply chain management and waste disposal as well as in the construction process itself. Underpinning this opportunity is location data, which model where something is happening and when and can be used to solve a wide range of problems. In particular, location (the power of where) can integrate diverse data sources and types into a single system, overcoming interoperability challenges that are known to be a barrier to twin implementation. This paper demonstrates the power of location-enabled digital twins in the context of a highway construction project, documenting and addressing data engineering tasks and functionality development to explore the potential of digital twins in the context of two case studies—health and safety and construction monitoring. We develop two demonstrators using data from an existing construction project (building on data and requirements from industry partner Skanska) to build twins that make use of the powers of 4D data presentation offered by the Unreal Gaming Engine and CesiumJS mapping, while software development expertise is sometimes available to construction firms, we specifically explore to what extent the no-code approach available within Unreal can be deployed in this context. Our findings provide evidence to construction companies as to the benefits of digital twins, as well as an understanding of the data engineering and technical skills required to achieve these benefits. The overall results demonstrate the potential for digital twins to unlock and democratise construction data, taking them beyond the niche use of experts and into the boardroom.","url":"https://doi.org/10.3390/buildings14072216","authors":["Claire Ellul","Neve Hamilton","Alexandros Pieri","George Floros"],"tags":["Context (archaeology)","Interoperability","Process (computing)","Underpinning","Building information modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-18","doi":"https://doi.org/10.3390/buildings14072216","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3185557595","name":"Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach","source":"openalex","abstract":"This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.","url":"https://doi.org/10.3390/jmmp5030080","authors":["Albrecht Hänel","André Seidel","Uwe Frieß","Uwe Teicher","Hajo Wiemer","Dongqian Wang","Eric Wenkler","Lars Penter","Arvid Hellmich","Steffen Ihlenfeldt"],"tags":["Context (archaeology)","Machining","Computer science","Digital transformation","Shadow (psychology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-27","doi":"https://doi.org/10.3390/jmmp5030080","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3137764156","name":"Automated fault detection for additive manufacturing using vibration sensors","source":"openalex","abstract":"Online process control is a crucial task in modern production systems that use digital twin technology. The data acquisition from machines must provide reliable and on-the-fly data, reflecting the exact status of the ongoing process. This work presents an architecture to acquire data for an Additive Manufacturing (3D printer) process, using a set of consolidated Internet of Things (IoT) technologies to collect, verify and store these data in a trustful and secure way. The need for online monitoring and fault detection is addressed by the development of a classifier using Convolutional Neural Networks. This deep learning approach, using temporally aligned vibration data provided by the underlying architecture, allows raw data processing to detect patterns without signal pre-processing and without domain-specific knowledge for model building.","url":"https://doi.org/10.1080/0951192x.2021.1901316","authors":["Roberto Milton Scheffel","Antônio Augusto Fröhlich","Marco Silvestri"],"tags":["Computer science","Fault detection and isolation","Convolutional neural network","Process (computing)","Classifier (UML)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-22","doi":"https://doi.org/10.1080/0951192x.2021.1901316","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4400930259","name":"Increasing acceptance of AI ‐generated digital twins through clinical trial applications","source":"openalex","abstract":"Today's approach to medicine requires extensive trial and error to determine the proper treatment path for each patient. While many fields have benefited from technological breakthroughs in computer science, such as artificial intelligence (AI), the task of developing effective treatments is actually getting slower and more costly. With the increased availability of rich historical datasets from previous clinical trials and real-world data sources, one can leverage AI models to create holistic forecasts of future health outcomes for an individual patient in the form of an AI-generated digital twin. This could support the rapid evaluation of intervention strategies in silico and could eventually be implemented in clinical practice to make personalized medicine a reality. In this work, we focus on uses for AI-generated digital twins of clinical trial participants and contend that the regulatory outlook for this technology within drug development makes it an ideal setting for the safe application of AI-generated digital twins in healthcare. With continued research and growing regulatory acceptance, this path will serve to increase trust in this technology and provide momentum for the widespread adoption of AI-generated digital twins in clinical practice.","url":"https://doi.org/10.1111/cts.13897","authors":["Anna A. Vidovszky","Charles K. Fisher","Anton Loukianov","Aaron M. Smith","Eric W. Tramel","Jonathan R. Walsh","Jessica L. Ross"],"tags":["Leverage (statistics)","Clinical trial","Computer science","Data science","Intervention (counseling)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-01","doi":"https://doi.org/10.1111/cts.13897","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4324367542","name":"Digital twins in cyber effects modelling of IoT/CPS points of low resilience","source":"openalex","abstract":"The exponential increase of data volume and velocity have necessitated a tighter linkage of physical and cyber components in modern Cyber–physical systems (CPS) to achieve faster response times and autonomous component reconfiguration. To attain this degree of efficiency, the integration of virtual and physical components reinforced by artificial intelligence also promises to improve the resilience of these systems against organised and often skillful adversaries. The ability to visualise, validate, and illustrate the benefits of this integration, while taking into account improvements in cyber modelling and simulation tools and procedures, is critical to that adoption. Using Cyber Modelling and Simulation (M&S) this study evaluates the scale and complexity required to achieve an acceptable level of cyber resilience testing in an IoT-enabled critical national infrastructure (CNI). This research focuses on the benefits and challenges of integrating cyber modelling and simulation (M&S) with digital twins and threat source characterisation methodologies towards a cost-effective security and resilience assessment. Using our dedicated DT environment, we show how adversaries can utilise cyber–physical systems as a point of entry to a broader network in a scenario where they are trying to attack a port.","url":"https://doi.org/10.1016/j.simpat.2023.102744","authors":["Gregory Epiphaniou","Mohammad Hammoudeh","Hu Yuan","Carsten Maple","Uchenna Ani"],"tags":["Cyber-physical system","Resilience (materials science)","Computer science","Control reconfiguration","Cyber-attack"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-15","doi":"https://doi.org/10.1016/j.simpat.2023.102744","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4316672828","name":"The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco","source":"openalex","abstract":"This study examined the association between digital transformation (DT), supply chain integration (SCI), and overall sustainable supply chain performance (OSSCP). The current literature has preliminarily explored the concepts of DT and SCI and their relationship with sustainable supply chain performance. However, real empirical evidence of the direct impact of DT and SCI on OSSCP has been missing so far. To fill this gap, data were collected from 134 professionals working in international manufacturing companies operating in Morocco through a questionnaire-based survey from August 2022 to November 2022. A conceptual framework was developed based on DT, SCI, and OSSCP and analyzed by partial least squares structural equation modeling (PLS-SEM) with the assistance of SmartPLS 4.0 software. The findings revealed that DT has a significant positive influence on SCI and OSSCP. Furthermore, SCI directly and positively impacts OSSCP with a partial mediation effect on the relationship between DT and OSSCP. Further, this research provides insights for practitioners into enhancing sustainable supply chain performance by adopting digital technologies and integrating SC functions. In particular, this study revealed that DT adoption drives a higher ethical supply chain level from the perspective of sustainability and efficiency in operations. This study is the first to analyze the influence of digital transformation and supply chain integration on sustainable supply chain performance in a manufacturing context.","url":"https://doi.org/10.3390/en16021004","authors":["Imadeddine Oubrahim","Naoufal Sefiani","Ari Happonen"],"tags":["Supply chain","Structural equation modeling","Mediation","Business","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-16","doi":"https://doi.org/10.3390/en16021004","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3088969866","name":"Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study","source":"openalex","abstract":"Cyber-physical production systems (CPPS) and digital twins (DT) with a data-driven core enable retrospective analyses of acquired data to achieve a pervasive system understanding and can further support prospective operational management in production systems. Cost pressure and environmental compliances sensitize facility operators for energy and resource efficiency within the whole life cycle while achieving reliability requirements. In manufacturing systems, technical building services (TBS) such as cooling towers (CT) are drivers of resource demands while they fulfil a vital mission to keep the production running. Data-driven approaches, such as data mining (DM), help to support operators in their daily business. Within this paper the development of a data-driven DT for TBS operation is presented and applied on an industrial CT case study located in Germany. It aims to improve system understanding and performance prediction as essentials for a successful operational management. The approach comprises seven consecutive steps in a broadly applicable workflow based on the CRISP-DM paradigm. Step by step, the workflow is explained including a tailored data pre-processing, transformation and aggregation as well as feature selection procedure. The graphical presentation of interim results in portfolio diagrams, heat maps and Sankey diagrams amongst others to enhance the intuitive understanding of the procedure. The comparative evaluation of selected DM algorithms confirms a high prediction accuracy for cooling capacity (R2 = 0.96) by using polynomial regression and electric power demand (R2 = 0.99) by linear regression. The results are evaluated graphically and the transfer into industrial practice is discussed conclusively.","url":"https://doi.org/10.3390/jmmp4040097","authors":["Stefan Blume","Stefan Blume","Sebastian Thiede","Christoph Herrmann"],"tags":["Workflow","Computer science","Industrial engineering","Systems engineering","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-09-23","doi":"https://doi.org/10.3390/jmmp4040097","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4384821171","name":"A digital twin modeling method for production resources of shop floor","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-023-11903-2","authors":["Xiaojun Liu","Chengjin Qiu","Jiahong Shi","Jiasheng Huang","Changbiao Zhu","Zhonghua Ni","Minghao Zhu","Tingyu Liu"],"tags":["Industrial engineering","Scheduling (production processes)","Production (economics)","Manufacturing engineering","Scale (ratio)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-19","doi":"https://doi.org/10.1007/s00170-023-11903-2","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4388279934","name":"Mathematical Models for Digital Twins in Flexible Discrete Manufacturing","source":"openalex","abstract":"The authors reviewed the areas of application of digital twins in discrete manufacturing. Examples of specific implemented projects have shown that the urgent task is to create mathematical models of the process of technological preparation for flexible discrete production, covering a description of the stage of testing the product design for manufacturability. The authors developed a formalized description of flexible discrete manufacturing and a generalized model of flexible discrete manufacturing and identified areas of application of the developed models. Digital twins of products manufactured in flexible manufacturing can include developed models.","url":"https://doi.org/10.1109/mlsd58227.2023.10303836","authors":["Natalia Aristova","V.M. Chadeev"],"tags":["Design for manufacturability","Discrete manufacturing","Computer science","Manufacturing engineering","Computer-integrated manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-26","doi":"https://doi.org/10.1109/mlsd58227.2023.10303836","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4391641134","name":"Editorial on simulation and modeling using digital twins in mechanical design and in advanced manufacturing technology","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.simpat.2024.102904","authors":["Pantelis G. Nikolakopoulos","Angelos P. Markopoulos"],"tags":["Manufacturing engineering","Engineering","Computer science","Industrial engineering","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-07","doi":"https://doi.org/10.1016/j.simpat.2024.102904","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4387899164","name":"Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis","source":"openalex","abstract":"Abstract With the advancement of complex system diagnosis, prediction, and health management technologies, digital twin technology has become a prominent research area in the fields of intelligent manufacturing and system operation and maintenance. However, due to the high complexity of practical systems, the difficulty of data acquisition, and the low accuracy of modeling techniques, current digital twin modeling suffers from low accuracy, and the generalization ability of models is poor when applied in model transfer. To address this issue, a novel fault diagnosis method is proposed, which integrates a digital twin model based on transfer learning. The framework introduces an innovative approach to construct multiple digital twin models using both mechanistic and data-driven models. The mechanism twin constructs a universal simulation model based on physical equipment and updates it with system response measurement data. The data twin consists of a high-dimensional fully connected-generative adversarial network twin for extracting deep features from data and an long- and short-term memory twin for extracting time series features. Subsequently, transfer learning is introduced to achieve deep fusion in the multiple digital twins system. The mechanism twin is used to obtain source domain samples to construct a diagnostic network, and the data twin is used to extract target domain features to correct the diagnostic network, thereby improving the accuracy and reliability of fault diagnosis. Finally, the proposed framework is applied to the fault diagnosis of triplex pump equipment. The accuracy of diagnosis continuously improves as the system is updated and ultimately reaches 89.28%, demonstrating the effectiveness of the algorithm and providing a novel solution for the generalization limitations of current digital twin models.","url":"https://doi.org/10.1088/1361-6501/ad0683","authors":["Sizhe Liu","Yongsheng Qi","Xuejin Gao","Liqiang Liu","Ran Ma"],"tags":["Computer science","Construct (python library)","Fault (geology)","Artificial intelligence","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-24","doi":"https://doi.org/10.1088/1361-6501/ad0683","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4401217752","name":"Digital Twins in Critical Infrastructure","source":"openalex","abstract":"This study aims to examine the use of digital twins in critical infrastructure through a literature review as well as a bibliometric and scientific mapping analysis. A total of 3414 documents from Scopus and Web of Science (WoS) are examined. According to the findings, digital twins play an important role in critical infrastructure as they can improve the security, resilience, reliability, maintenance, continuity, and functioning of critical infrastructure in all sectors. Intelligent and autonomous decision-making, process optimization, advanced traceability, interactive visualization, and real-time monitoring, analysis, and prediction emerged as some of the benefits that digital twins can yield. Finally, the findings revealed the ability of digital twins to bridge the gap between physical and virtual environments, to be used in conjunction with other technologies, and to be integrated into various settings and domains.","url":"https://doi.org/10.3390/info15080454","authors":["Γεώργιος Λαμπρόπουλος","Xabier Larrucea","Ricardo Colomo‐Palacios"],"tags":["Critical infrastructure","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-01","doi":"https://doi.org/10.3390/info15080454","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4390831841","name":"The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0","source":"openalex","abstract":"From the first to the fourth industrial revolutions (4IR) or Industry 4.0 (i4.0), the manufacturing sector has always been at the forefront of innovation and digital technology adoption. However, 4IR or i4.0 comes with diverse and integrated technologies that tend to sweep off all the old orders. This study undertakes a science mapping of research on the role of virtual reality simulation (VRSIM) in manufacturing in the 4IR, which reveals several roles and benefits. The analysis of the conceptual structure of relevant literature highlights the contexts, applications, and relevance of VRSIM in the i4.0 era, including its potent role in predictive modeling and simulation, digital twin and predictive maintenance, additive manufacturing and 3D printing, and virtual manufacturing and immersive virtual digital factory simulation. VRSIM also offers a realistic virtual environment for mapping human–robot collaboration in different manufacturing environments, such as aircraft and automotive assembly lines, evaluating processes, training factory workers on safety, and assessing workers’ ergonomics in digital production and operations. VRSIM in manufacturing offers active research activities, with increasing literature publications and impacts attracting core sources in industrial engineering, manufacturing systems, production and operations, and information technology.","url":"https://doi.org/10.3390/systems12010026","authors":["Ikpe Justice Akpan","O. Felix Offodile"],"tags":["Factory (object-oriented programming)","Automotive industry","Virtual reality","Manufacturing engineering","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-12","doi":"https://doi.org/10.3390/systems12010026","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4312286979","name":"Digital Thread in Smart Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-19762-8_12","authors":["Tiziana Margaria","Dirk Pesch","Alan McGibney"],"tags":["Computer science","Interoperation","Thread (computing)","Product lifecycle","System lifecycle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-031-19762-8_12","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4313467437","name":"Modeling Methods of 3D Model in Digital Twins","source":"openalex","abstract":"To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant literatures on DTs and 3D modeling are investigated by means of literature review. The transition process from 3D modeling to DTs modeling is analyzed, as well as the current application of DTs modeling in various industries. The application of 3D DTs modeling in the fields of smart manufacturing, smart ecology, smart transportation, and smart buildings in smart cities is analyzed in detail, and the current limitations are summarized. It is found that the 3D modeling technology in DTs has broad prospects for development and has a huge impact on all walks of life and even human lifestyles. At the same time, the development of DTs modeling relies on the development and support capabilities of mature technologies such as Big Data, Internet of Things, Cloud Computing, Artificial Intelligence, and game technology. Therefore, although some results have been achieved, there are still limitations. This work aims to provide a good theoretical support for the further development of 3D DTs modeling.","url":"https://doi.org/10.32604/cmes.2023.023154","authors":["Ruijun Liu","Haisheng Li","Zhihan Lv"],"tags":["Computer science","Process (computing)","Big data","Cloud computing","3D modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-21","doi":"https://doi.org/10.32604/cmes.2023.023154","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4414103150","name":"Research Advancements in Digital Twin Technology for Smart Manufacturing","source":"openalex","abstract":"This study presents a comprehensive bibliometric analysis of research developments in Digital Twin (DT) technology within the domain of smart manufacturing. Drawing on Scopus-indexed publications from 2010 to 2024, the study explores the growth patterns, thematic structures, institutional contributions, collaborative networks, and emerging research trends using VOSviewer. The findings reveal a sharp increase in publication volume, particularly in 2024, indicating growing academic and industrial interest. China dominates the research landscape in terms of both institutional productivity and international collaboration, followed by India and the United States. Keyword co-occurrence analysis identifies “smart manufacturing,” “digital twin,” and “industry 4.0” as core themes, with increasing emphasis on artificial intelligence, optimization, collaborative robots, and Industry 5.0 in recent years. Co-authorship and country collaboration maps illustrate dense scholarly networks centered around prominent authors and regions. Despite significant progress, the study identifies gaps in real-world implementation, standardization, and ethical considerations. These insights offer valuable direction for future interdisciplinary research and policy strategies aimed at integrating DT technologies into next-generation manufacturing ecosystems.","url":"https://doi.org/10.58812/esiscs.v2i03.548","authors":["Loso Judijanto","Arnes Yuli Vandika"],"tags":["Productivity","China","Smart manufacturing","Domain (mathematical analysis)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.58812/esiscs.v2i03.548","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W4294221655","name":"A Metaheuristic Optimization Algorithm for energy efficiency in Digital Twins","source":"openalex","abstract":"This work aims to study the role of Digital Twins (DTs) technology combined with the Metaheuristic Optimization Algorithm in manufacturing energy efficiency optimization. Firstly,a machine tool model is established based on DTs technology to study the energy consumption of the milling process of Computer Numerical Machine Tools. Besides, the Particle Swarm Optimization (PSO) algorithm is introduced to optimize the milling parameters of the machining process. Meanwhile, the tool machining path is optimized by combining the Optimized Genetic algorithm and Simulated Annealing algorithm and find the optimal solution of the machining path. On the premise of ensuring the machining quality, this scheme improves the machining efficiency, reduces the energy consumption of the processing process, and improve the energy efficiency. The results demonstrate that the optimized milling parameters can ensure the lowest milling power while considering the maximum material removal rate. Take the plane model as an example. The Improved Genetic Algorithm-Simulated Annealing algorithm can significantly reduce the number of empty walking knife by adopting projection machining and helical machining. The total length of the milling path is reduced by 69.45 mm at most, a relative reduction of 10.01%. The average measured energy consumption of milling is reduced by 5.62W*h compared with the empirical value; the measured average energy consumption of the optimized idle tool is reduced by 0.17W*h; the total measured energy consumption of milling processing is reduced by 5.73W*h compared with the empirical value. It can be seen that the optimization algorithm can improve the processing efficiency and reduce the energy consumption.","url":"https://doi.org/10.1016/j.iotcps.2022.08.001","authors":["Rui Chen","Hai Shen","Yi Lai"],"tags":["Machining","Simulated annealing","Energy consumption","Genetic algorithm","Particle swarm optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.iotcps.2022.08.001","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3207999558","name":"A digital twin uses classification system for urban planning & city infrastructure management","source":"openalex","abstract":"Recently, the concept of Digital Twin [DT] has pervaded the field of urban planning and city infrastructure management. This paper first affirms that the knowledge created by virtue of DT real-world implementation, through undertaking various DT pilot projects, case studies and proof-of-concept initiatives, comprises the ‘know-how’ and genuine practical experience upon which the DT research and practices can further develop and mature. It then argues that this type of knowledge is poorly captured and mostly left neither realized nor fully utilized. This significantly hinders the rate by which DT practices within the urban and built environments evolve. While acknowledging the benefits of the ongoing work by many DT researchers, including enumeration, categorization and detailing of multiple DT use cases, such endeavours arguably suffer from three profound weaknesses causing the inefficient sharing and transfer of DT ‘know-how’ knowledge amongst DT stakeholders. The three limitations are: (a) lack of DT standard terminology constituting a common DT language; (b) lack of standard and clear methods to enable documenting DT projects and making the ‘know-how’ explicit to the rest of the DT market; and (c) the lack of an established and adequate DT use cases classifications system to guide DT practitioners in searching for and retrieving the previously accomplished DT case studies that are most relevant to their interests and context. Correspondingly, three solutions are proposed constituting a three-pronged DT Uses Classification System [DTUCS]: prong-A (i.e. Standardize-to-Publish); prong-B (i.e. Detail-to-Prove); and prong-C (i.e. Classify-to-Reach). DTUCS is developed using a meta-methodology encapsulating a systematic literature review and three distinct sub-methodologies. The paper concludes with an overview of the implications of DTUCS along with recommendations on how it can be further validated and improved.","url":"https://doi.org/10.36680/j.itcon.2021.045","authors":["Ramy Al-Sehrawy","Bimal Kumar","Richard Watson"],"tags":["Terminology","Context (archaeology)","Publication","Categorization","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-04","doi":"https://doi.org/10.36680/j.itcon.2021.045","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4285014818","name":"Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems","source":"openalex","abstract":"Digitalization and concepts such as digital twins (DT) are expected to have huge potential to improve efficiency in industry, in particular, in the energy sector. Although the number and maturity of DT concepts is increasing, there is still no standardized framework available for the implementation of DTs for industrial energy systems (IES). On the one hand, most proposals focus on the conceptual side of components and leave most implementation details unaddressed. Specific implementations, on the other hand, rarely follow recognized reference architectures and standards. Furthermore, most related work on DTs is done in manufacturing, which differs from DTs in energy systems in various aspects, regarding, for example, multiple time-scales, strong nonlinearities and uncertainties. In the present work, we identify the most important requirements for DTs of IES. We propose a DT platform based on the five-dimensional DT modeling concept with a low level of abstraction that is tailored to the identified requirements. We address current technical implementation barriers and provide practical solutions for them. Our work should pave the way to standardized DT platforms and the efficient encapsulation of DT service engineering by domain experts. Thus, DTs could be easy to implement in various IES-related use cases, host any desired models and services, and help get the most out of the individual applications. This ultimately helps bridge the interdisciplinary gap between the latest research on DTs in the domain of computer science and industrial automation and the actual implementation and value creation in the traditional energy sector.","url":"https://doi.org/10.3390/app12146981","authors":["Lukas Kasper","Felix Birkelbach","Paul Schwarzmayr","Gernot Steindl","Daniel Ramsauer","René Hofmann"],"tags":["Implementation","Computer science","Software engineering","Automation","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-10","doi":"https://doi.org/10.3390/app12146981","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4384662241","name":"Digital twin modeling for fidget spinner manufacturing line","source":"openalex","abstract":"To address the issues of low degree of visualization, untimely data interaction, and difficulty in cyber-physical fusion of the fidget spinner manufacturing line, this paper builds the digital twin architecture for the fidget spinner manufacturing line and develops a \"geometry-physics-behavior-information control\" four-dimensional fusion modeling method, which adds the information control dimension to digital twin modeling. This method maps the geometric features and physical characteristics and reveals the behavioral mechanisms, control logic, and virtual-real mapping rules between the physical entity and the digital twin model. Through an information service system that is established and implemented, the proposed technique is finally verified as effective, and recommendations for the digital transformation of small and medium-sized manufacturing firms are provided.","url":"https://doi.org/10.1117/12.2679650","authors":["Jieyu Xie","Jiafu Wan"],"tags":["Computer science","Visualization","Digital transformation","Line (geometry)","Dimension (graph theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-18","doi":"https://doi.org/10.1117/12.2679650","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385757748","name":"Digital Twin Robotic System With Continuous Learning for Grasp Detection in Variable Scenes","source":"openalex","abstract":"With the emergence of digitalization technology, digital twin bridges the gap between physical and virtual worlds in industrial production with synchronization, reliability, and fidelity. The manufacturing process of complex products needs multiple working procedures, where novel industrial parts occur, causing scenes to be variable for robots to perceive and grasp. Due to the geometric difference among objects in various categories, it is significant to empower robotic systems with the capability of continuous learning for grasp detection in variable scenes. Therefore, a digital twin robotic system is proposed to realize bidirectional real-time data interaction and synchronization in the physical and virtual worlds. In this digital twin robotic system, a synthetic grasp detection dataset composed of industrial parts is built for an industrial grasping task. Besides, a novel deep learning method, adaptive spatial-awareness grasp network with a novel cc, is proposed to realize end-to-end 7-DoF grasp detection for industrial objects. In addition, a continuous learning strategy is proposed for 7-DoF grasp pose detection without catastrophic forgetting in variable scenes. Experiments in both virtual and physical worlds have demonstrated the effectiveness of our method for potential industrial implementation, and the average grasping success rate reaches 91% and 88% for novel objects in the virtual and physical worlds, respectively.","url":"https://doi.org/10.1109/tie.2023.3299049","authors":["Lei Ren","Jiabao Dong","Di Huang","Jinhu Lü"],"tags":["GRASP","Artificial intelligence","Computer science","Robot","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.1109/tie.2023.3299049","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4224240259","name":"Digital twin technology — awareness, implementation problems and benefits","source":"openalex","abstract":"Abstract Aiming to ensure current market needs, manufacturing companies search for tools and methodologies that would help them deliver their products efficiently and cost-effectively and enable them to become a part of Industry 4.0. Digital twins are a technology created based on the idea of the Fourth Industrial Revolution. The solution helps recreate physical devices in virtual space based on gathered data. It supports performance tests, configuration changes, and predictive maintenance without engaging existing machines. The paper aims to gain knowledge about the awareness level of the digital twin technology among industry representatives and identify the most important problems that stand in the way of implementing the technology in enterprises. The research focused on market awareness of the described technology. It also examined how companies use employee suggestions to improve their organisations and the factors that influence process efficiency. The methods used for the research were a literature review and cross-sectional survey conducted with 50 employees of manufacturing and IT companies. The research showed the need to implement digital twins in enterprises. Half of the survey respondents replied that the technology would help improve the efficiency of the company’s processes. The main benefit of the conducted research is identified awareness of the technology among industry representatives. In the future, the research will be extended to include the analysis of specific cases affecting the implementation of digital twins in enterprises.","url":"https://doi.org/10.2478/emj-2022-0006","authors":["Małgorzata Gulewicz"],"tags":["Process (computing)","Business","Knowledge management","Marketing","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.2478/emj-2022-0006","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4404789702","name":"Digital Twins for Industry 5.0: Unlocking the Human Potential","source":"openalex","abstract":"The holy grail of Industry 5.0 resides in the intersection of the three dimensions; sustainable, resilient, and human-centric manufacturing. While the Industry 4.0 paradigm addresses resiliency and sustainability through increased flexibility and efficiency, the human component of manufacturing systems has been largely neglected. Despite rapid developments in artificial intelligence, human intelligence remains superior in terms of creative and critical thinking. Digital twins have emerged as a concept that effectively merges the physical and the digital worlds in cyber-physical production systems. The computational power of digital systems is leveraged to collect and aggregate data that are analyzed and presented to a human decision-maker. Taking a human-centric perspective, the digital twin should be designed to enhance human capabilities, accommodate the needs of people, and mitigate shortcomings of the human mind. This paper addresses these issues by discussing how humans may utilize and better interact with digital twins. A conceptual framework for a human-centric digital twin is proposed with use cases for various interfaces for operators, engineers, and managers.","url":"https://doi.org/10.1016/j.procir.2024.10.161","authors":["Torbjørn Langedahl Leirmo"],"tags":["Business","Industry 4.0","Engineering","Data science","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procir.2024.10.161","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4367319198","name":"Construction and Maintenance of Building Geometric Digital Twins: State of the Art Review","source":"openalex","abstract":"Most of the buildings that exist today were built based on 2D drawings. Building information models that represent design-stage product information have become prevalent in the second decade of the 21st century. Still, it will take many decades before such models become the norm for all existing buildings. In the meantime, the building industry lacks the tools to leverage the benefits of digital information management for construction, operation, and renovation. To this end, this paper reviews the state-of-the-art practice and research for constructing (generating) and maintaining (updating) geometric digital twins. This paper also highlights the key limitations preventing current research from being adopted in practice and derives a new geometry-based object class hierarchy that mainly focuses on the geometric properties of building objects, in contrast to widely used existing object categorisations that are mainly function-oriented. We argue that this new class hierarchy can serve as the main building block for prioritising the automation of the most frequently used object classes for geometric digital twin construction and maintenance. We also draw novel insights into the limitations of current methods and uncover further research directions to tackle these problems. Specifically, we believe that adapting deep learning methods can increase the robustness of object detection and segmentation of various types; involving design intents can achieve a high resolution of model construction and maintenance; using images as a complementary input can help to detect transparent and specular objects; and combining synthetic data for algorithm training can overcome the lack of real labelled datasets.","url":"https://doi.org/10.3390/s23094382","authors":["Viktor Drobnyi","Zhiqi Hu","Yasmin Fathy","Ioannis Brilakis"],"tags":["Building information modeling","Computer science","Robustness (evolution)","Leverage (statistics)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-28","doi":"https://doi.org/10.3390/s23094382","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4396224362","name":"Knowledge-Driven Scheduling of Digital Twin-Based Flexible Ship Pipe Manufacturing Workshop","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-52649-7_23","authors":["Hongmei Zhang","Sisi Tian","Ruifang Li","Wenjun Xu","Yang Hu"],"tags":["Scheduling (production processes)","Computer science","Manufacturing engineering","Engineering","Operations management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-52649-7_23","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"oa:W4392623890","name":"Multi-level digital twin-driven kitting-synchronized optimization for production logistics system","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijpe.2024.109176","authors":["Yanghua Pan","Ray Y. Zhong","Ting Qu","Liqiang Ding","Jun Zhang"],"tags":["Production (economics)","Computer science","Production system (computer science)","Industrial engineering","Mathematical optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-08","doi":"https://doi.org/10.1016/j.ijpe.2024.109176","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2894225858","name":"Optimizing the Scheduling of Autonomous Guided Vehicle in a Manufacturing Process","source":"openalex","abstract":"Autonomous Guided Vehicles (AGVs) are considered as one of the key enablers of smart factories which make possible smart and flexible transportation of pallets and material on shopfloor. However, existing AGV fleet management solutions often suffer from poor integration with real-time manufacturing operations information systems, which negatively affects scheduling of AGVs. To exploit the full potential of AGVs in achieving just-intime (JIT) transportation, there is a need for intelligent AGV fleet management system which not only integrate with manufacturing information technology (IT) and operational technology (OT) but also provide prediction for the shop-floor logistic based on real-time manufacturing operations information to optimize scheduling of AGVs. This paper presents an approach for a Smart AGV Management System (SAMS), which combines the real-time data analysis and digital twin models that can be deployed within complex manufacturing environments for optimized scheduling. For a proof of concept, a case study of a line side supply of components to a manual assembly station is presented.","url":"https://doi.org/10.1109/indin.2018.8471979","authors":["Fengjia Yao","Alexander Keller","Mussawar Ahmad","Bilal Ahmad","Robert Harrison","Armando Walter Colombo"],"tags":["Scheduling (production processes)","Pallet","Fleet management","Computer science","Exploit"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-01","doi":"https://doi.org/10.1109/indin.2018.8471979","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4378717116","name":"FAIR for digital twins","source":"openalex","abstract":"Abstract The continuing drive towards digitization in manufacturing leads to an increasing number of digital twins for monitoring and controlling all kinds of processes. While these capture crucial data of all individual steps and allow for analysis and optimization, more often than not the underlying models are confined to individual systems or organizations. This hinders data exchange, especially across institutional borders and thus represents an important barrier for economic success. Similar challenges in the scientific community led to the emergence of the FAIR principles (Findable, Accessible, Interoperable, and Reusable) as guidelines towards a sustainable data landscape. Despite the growing presence within academia, their transfer to industry has not yet received similar attention. We argue that the existing efforts and experiences in science can be exploited to address current data management challenges in industry as well. An improved data exchange within organizations and beyond can not just lower costs, but also opens up new opportunities ranging from discovering new suppliers or partners to improving existing value chains.","url":"https://doi.org/10.1007/s12567-023-00506-y","authors":["Diana Peters","Sirko Schindler"],"tags":["Digitization","Interoperability","Data exchange","Value (mathematics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-29","doi":"https://doi.org/10.1007/s12567-023-00506-y","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4311624088","name":"Collaborative approaches in sustainable and resilient manufacturing","source":"openalex","abstract":"In recent years, the manufacturing sector is going through a major transformation, as reflected in the concept of Industry 4.0 and digital transformation. The urge for such transformation is intensified when we consider the growing societal demands for sustainability. The notion of sustainable manufacturing has emerged as a result of this trend. Additionally, industries and the whole society face the challenges of an increasing number of disruptive events, either natural or human-caused, that can severely affect the normal operation of systems. Furthermore, the growing interconnectivity between organizations, people, and physical systems, supported by recent developments in information and communication technologies, highlights the important role that collaborative networks can play in the digital transformation processes. As such, this article analyses potential synergies between the areas of sustainable and resilient manufacturing and collaborative networks. The work also discusses how the responsibility for the various facets of sustainability can be distributed among the multiple entities involved in manufacturing. The study is based on a literature survey, complemented with the experience gained from various research projects and related initiatives in the area, and is organized according to various dimensions of Industry 4.0. A brief review of proposed approaches and indicators for measuring sustainability from the networked manufacturing perspective is also included. Finally, a set of key research challenges are identified to complement strategic research agendas in manufacturing.","url":"https://doi.org/10.1007/s10845-022-02060-6","authors":["Luís M. Camarinha-Matos","André Dionísio Rocha","Paula Graça"],"tags":["Production (economics)","Sustainable production","Manufacturing engineering","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-05","doi":"https://doi.org/10.1007/s10845-022-02060-6","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4229368271","name":"A Digital Twin-Driven Life Prediction Method of Lithium-Ion Batteries Based on Adaptive Model Evolution","source":"openalex","abstract":"Accurate life prediction and reliability evaluation of lithium-ion batteries are of great significance for predictive maintenance. In the whole life cycle of a battery, the accurate description of the dynamic and stochastic characteristics of life has always been a key problem. In this paper, the concept of the digital twin is introduced, and a digital twin for reliability based on remaining useful cycle life prediction is proposed for lithium-ion batteries. The capacity degradation model, stochastic degradation model, life prediction, and reliability evaluation model are established to describe the randomness of battery degradation and the dispersion of the life of multiple cells. Based on the Bayesian algorithm, an adaptive evolution method for the model of the digital twin is proposed to improve prediction accuracy, followed by experimental verification. Finally, the life prediction, reliability evaluation, and predictive maintenance of the battery based on the digital twin are implemented. The results show the digital twin for reliability has good accuracy in the whole life cycle. The error can be controlled at about 5% with the adaptive evolution algorithm. For battery L1 and L6 in this case, predictive maintenance costs are expected to decrease by 62.0% and 52.5%, respectively.","url":"https://doi.org/10.3390/ma15093331","authors":["Dezhen Yang","Yidan Cui","Quan Xia","Fusheng Jiang","Yi Ren","Bo Sun","Qiang Feng","Zili Wang","Chao Yang"],"tags":["Reliability (semiconductor)","Battery (electricity)","Randomness","Reliability engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-06","doi":"https://doi.org/10.3390/ma15093331","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2883403478","name":"The Future of Manufacturing: A New Perspective","source":"openalex","abstract":"Many articles have been published on intelligent manufacturing, most of which focus on hardware, software, additive manufacturing, robotics, the Internet of Things, and Industry 4.0. This paper provides a different perspective by examining relevant challenges and providing examples of some less-talked-about yet essential topics, such as hybrid systems, redefining advanced manufacturing, basic building blocks of new manufacturing, ecosystem readiness, and technology scalability. The first major challenge is to (re-)define what the manufacturing of the future will be, if we wish to: ① raise public awareness of new manufacturing’s economic and societal impacts, and ② garner the unequivocal support of policy-makers. The second major challenge is to recognize that manufacturing in the future will consist of systems of hybrid systems of human and robotic operators; additive and subtractive processes; metal and composite materials; and cyber and physical systems. Therefore, studying the interfaces between constituencies and standards becomes important and essential. The third challenge is to develop a common framework in which the technology, manufacturing business case, and ecosystem readiness can be evaluated concurrently in order to shorten the time it takes for products to reach customers. Integral to this is having accepted measures of “scalability” of non-information technologies. The last, but not least, challenge is to examine successful modalities of industry–academia–government collaborations through public–private partnerships. This article discusses these challenges in detail.","url":"https://doi.org/10.1016/j.eng.2018.07.020","authors":["Ben Wang"],"tags":["Government (linguistics)","Scalability","Computer-integrated manufacturing","Advanced manufacturing","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-29","doi":"https://doi.org/10.1016/j.eng.2018.07.020","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4380355471","name":"Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain","source":"openalex","abstract":"Background: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods: This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions: The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.","url":"https://doi.org/10.3390/logistics7020033","authors":["Tsega Y. Melesse","Chiara Franciosi","Valentina Di Pasquale","Stefano Riemma"],"tags":["Supply chain","Sustainability","Process management","Food supply","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-12","doi":"https://doi.org/10.3390/logistics7020033","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4387696937","name":"Digital Twin Simulation System for Reconfigurable Manufacturing Systems","source":"openalex","abstract":"In order to adapt to the multi-variety and small-batch production mode, reconfigurable manufacturing systems have been widely applied in various industries. However, the rapid reconfiguration of these systems poses challenges for workshop managers to grasp the workshop status in a real-time and comprehensive manner. This paper proposes a digital twin modeling and simulation technology for reconfigurable manufacturing systems, enabling concurrent production simulation and reconfiguration simulation of reconfigurable manufacturing systems. Through the use of digital twin technology, real-time simulation and visualization of physical workshops can be achieved, enhancing managerial efficiency.","url":"https://doi.org/10.1109/aicit59054.2023.10278028","authors":["Qishen Shan","Wei Cui","Aimin Wang","Sheng Wang"],"tags":["Control reconfiguration","Computer science","GRASP","Variety (cybernetics)","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-15","doi":"https://doi.org/10.1109/aicit59054.2023.10278028","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2900108361","name":"Digital Systems in Smart City and Infrastructure: Digital as a Service","source":"openalex","abstract":"Digitalization has enabled infrastructure and cities to be “smarter”; the use of physical space and energy, the transmission of information, the management of users, assets and processes, the operation of businesses and companies have been progressively digitalized. The main challenges of a Smart City is its definition, scope and interconnections; there are different approaches to Smart City implementations that vary from collaborative multidisciplinary environments, the addition of Information and Communications Technology (ICT) within its physical fabric to the use of Big Data for higher abstraction decisions. This paper presents the concept of Digital as a Service (DaaS), where any complete digitalization can be implemented independently of its associated physical infrastructure in a Cloud environment; DasS would enable an interoperable Virtual Digital Infrastructure (VDI). In addition, this paper reviews the current Digital Systems, Transmission Networks, Servers and Management Systems. The next Industrial Revolution will be founded on Artificial Intelligence that will entirely replace humans by taking production and management decisions based on the Internet of Things (IoT), the Cloud, BlockChain, Big Data, Virtual Reality and the combination of digital and real infrastructure or city. Digital as a Service would be its enabler by providing the entire interconnection, integration and virtualization of its Space, Services and Structure (3S).","url":"https://doi.org/10.3390/smartcities1010008","authors":["Will Serrano"],"tags":["Cloud computing","Interoperability","Computer science","Virtualization","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-11-06","doi":"https://doi.org/10.3390/smartcities1010008","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3110993978","name":"Digital Twins as a New Paradigm of an Industrial Enterprise","source":"openalex","abstract":"The aim of this research is to investigate the core principles and possibilities of using digital twin technology for the development of Russia’s industrial sectors, taking into account the international experience. Theoretical and methodologic","url":"https://doi.org/10.14716/ijtech.v11i6.4427","authors":["Т. А. Головина","A.V. Polyanin","Alexander Adamenko","Elena Khegay","Vladimir Schepinin"],"tags":["Digital transformation","Productivity","Computer science","SWOT analysis","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-05","doi":"https://doi.org/10.14716/ijtech.v11i6.4427","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4409963977","name":"The Potential Use of Digital Twin Technology for Advancing CAR-T Cell Therapy","source":"openalex","abstract":"CAR-T cell therapy is a personalized immunotherapy that has shown promising results in treating hematologic cancers. However, its therapeutic efficacy in solid cancers is often limited by tumor evasion mechanisms, resistance pathways, and an immunosuppressive tumor microenvironment. These challenges highlight the need for advanced predictive models to better capture the intricate interactions between CAR-T cells and tumors to enhance their potential. Digital Twins represent a transformative approach for optimizing CAR-T cell therapy by providing a virtual representation of the therapy-tumor trajectory using high-dimensional patient data. In this review, we first define Digital Twins and outline the fundamental steps in their development. We then explore the critical parameters required for designing CAR-T-specific Digital Twins. We examine published case studies demonstrating a few applications of Digital Twins in addressing key challenges in CAR-T cell therapy, including their impact on clinical trials and manufacturing processes. Finally, we discuss the limitations associated with integrating Digital Twins into CAR-T therapy. As Digital Twin technology continues to evolve, the potential to enhance CAR-T therapy through precision modeling and real-time adaptation could redefine the landscape of personalized cancer treatment.","url":"https://doi.org/10.3390/cimb47050321","authors":["Sara Sadat Aghamiri","Rada Amin"],"tags":["Computer science","Cancer therapy","CAR T-cell therapy","Immunotherapy","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.3390/cimb47050321","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385259797","name":"Enabling Trust and Security in Digital Twin Management: A Blockchain-Based Approach with Ethereum and IPFS","source":"openalex","abstract":"The emergence of Industry 5.0 has highlighted the significance of information usage, processing, and data analysis when maintaining physical assets. This has enabled the creation of the Digital Twin (DT). Information about an asset is generated and consumed during its entire life cycle. The main goal of DT is to connect and represent physical assets as close to reality as possible virtually. Unfortunately, the lack of security and trust among DT participants remains a problem as a result of data sharing. This issue cannot be resolved with a central authority when dealing with large organisations. Blockchain technology has been proposed as a solution for DT information sharing and security challenges. This paper proposes a Blockchain-based solution for digital twin using Ethereum blockchain with performance and cost analysis. This solution employs a smart contract for information management and access control for stakeholders of the digital twin, which is secure and tamper-proof. This implementation is based on Ethereum and IPFS. We use IPFS storage servers to store stakeholders' details and manage information. A real-world use-case of a production line of a smartphone, where a conveyor belt is used to carry different parts, is presented to demonstrate the proposed system. The performance evaluation of our proposed system shows that it is secure and achieves performance improvement when compared with other methods. The comparison of results with state-of-the-art methods showed that the proposed system consumed fewer resources in a transaction cost, with an 8% decrease. The execution cost increased by 10%, but the cost of ether was 93% less than the existing methods.","url":"https://doi.org/10.3390/s23146641","authors":["Austine Onwubiko","Raman Singh","Shahid Mahmood Awan","Zeeshan Pervez","Naeem Ramzan"],"tags":["Blockchain","Computer security","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-24","doi":"https://doi.org/10.3390/s23146641","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3120070408","name":"Implementation of a Bi-Directional Digital Twin for Industry 4 Labs in Academia: A Solution Based on OPC UA","source":"openalex","abstract":"With the increased demands of smarter manufacturing approaches around the world, the process of industrial digital transformation is being pushed in and by both industry and academia. Learning factories and testing laboratories have been developed for decades for teaching and training purposes in Academia. Nowadays, as the future trend in industry, Industry 4 is being merged into the latest development of learning factories and testing laboratories. This paper presents the development and implementation of a bi-directional digital twin application in an Industry 4 testing laboratory at University of South Australia. The solution is based on the establishment of OPC UA connection between two cobots of different brands, the use of NX Siemens as a CAD simulation platform and a SCADA system from Inductive Automation. Due to differences between system interfaces, communication between different modules was challenging. Python OPC UA servers were developed. The digital twin replicates the physical system and is driven by inputs from the assembly cell.","url":"https://doi.org/10.1109/ieem45057.2020.9309953","authors":["A. Protic","Ziyue Jin","Romeo Marian","Khalid Abd","Douglas R. Campbell","Javaan Chahl"],"tags":["Python (programming language)","Siemens","Automation","Server","SCADA"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-14","doi":"https://doi.org/10.1109/ieem45057.2020.9309953","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4303961744","name":"Pharma 4.0-Artificially Intelligent Digital Twins for Solidified Nanosuspensions","source":"openalex","abstract":"Digital twins capacitate the industry 4.0 paradigm by predicting and optimizing the performance of physical assets of interest, mirroring a realistic in-silico representation of their functional behaviour. Although advanced digital twins set forth disrupting opportunities by delineating the in-service product and the related process dynamic performance, they have yet to be adopted by the pharma sector. The latter, currently struggles more than ever before to improve solubility of BCS II i.e., hard-to-dissolve active pharmaceutical ingredients by micronization and subsequent stabilization. Herein we construct and functionally validate the first artificially intelligent digital twin thread, capable of describing the course of manufacturing of such solidified nanosuspensions given a defined lifecycle starting point and predict and optimize the relevant process outcomes. To this end, we referenced experimental data as the sampling source, which we then augmented via pattern recognition utilizing neural network propagations. The zeta-dynamic potential metrics of the nanosuspensions were correlated to the interfacial Gibbs energy, while the density and heat capacity of the material system was calculated via the Saft-γ-Mie statistical fluid theory. The curated data was then fused to physical and empirical laws to choose the appropriate theory and numeric description, respectively, before being polished by tuning the critical parameters to achieve the best fit with reality.","url":"https://doi.org/10.3390/pharmaceutics14102113","authors":["Christina Davidopoulou","Andreas Ouranidis"],"tags":["Computer science","Process (computing)","Industrial engineering","Artificial intelligence","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-03","doi":"https://doi.org/10.3390/pharmaceutics14102113","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4402157315","name":"Design of Manufacturing Equipment Digital Twin Interworking Framework Based on REST API for Smart Factory","source":"openalex","abstract":"A digital twin, which digitizes facilities within factories and implements them in virtual space, is a useful technology for monitoring and analyzing the performance and status of manufacturing equipment and systems, and the quality of products in smart factories. To implement the digital twin, synchronization between a real object and a virtual object is required. In this paper, we design a REST API-based interface framework for real-virtual object linkage of manufacturing equipment required in the digital twin for smart factories. The proposed framework exchanges information with the virtual factory in connection with the existing automation system.","url":"https://doi.org/10.1109/icufn61752.2024.10625236","authors":["Jung-Wook Wee","Minju Cho","Youn-Sung Lee","Kyung-Taek Lee"],"tags":["Factory (object-oriented programming)","Rest (music)","Computer science","Embedded system","Smart manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-02","doi":"https://doi.org/10.1109/icufn61752.2024.10625236","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4393033448","name":"Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles","source":"openalex","abstract":"This paper presents a comprehensive survey of machine learning, deep learning, and digital twin technology methods for predicting and managing the battery state of health in electric vehicles. Battery state of health estimation is essential for optimizing the battery usage, performance, safety, and cost-effectiveness of electric vehicles. Estimating the state of health of a battery is a complex undertaking due to its dependency on multiple factors. These factors include battery characteristics such as type, chemistry, size, temperature, current, voltage, impedance, cycle number, and driving pattern. There are drawbacks to traditional methods, such experimental and model-based approaches, in terms of accuracy, complexity, expense, and viability for real-time applications. By employing a variety of algorithms to discover the nonlinear and dynamic link between the battery parameters and the state of health, data-driven techniques like machine learning, deep learning, and data-driven digital twin technologies can get beyond these restrictions. Data-driven methods can also incorporate physics and domain knowledge to improve the explainability and interpretability of the results. This paper reviews the latest advancements and challenges of using data-driven techniques for battery state of health estimation and management in electric vehicles. The paper also discusses the future directions and opportunities for further research and development in this field. The survey scope spans publications from the year 2021 to 2023.","url":"https://doi.org/10.1109/access.2024.3380452","authors":["A. Pravin Renold","Neeraj Singh Kathayat"],"tags":["Computer science","Battery (electricity)","Artificial intelligence","Deep learning","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3380452","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4406460525","name":"Research on Intelligent Manufacturing Production Lines for Automobile Wheel Hubs by Digital Twin Models","source":"openalex","abstract":"Due to the complex geometric shapes, high precision design dimensions, and specific material characteristics of automobile wheel hubs, there are stringent requirements for processing procedures, efficiency, and stability. To meet these demands, enterprises commonly adopt intelligent manufacturing production lines. Key challenges include establishing adaptive intelligent capabilities for the \"processing-measurement-compensation-processing\" cycle, constructing digital twin models of wheel hub production lines for real-time synchronization in virtual reality production, optimizing equipment and process interfaces, and improving fixture systems. Integrating discrete CNC machining, inspection, and assembly organically is crucial for smart manufacturing engineers. This article provides targeted discussions on core technologies and development directions in this field.","url":"https://doi.org/10.1109/icdacai65086.2024.00155","authors":["Cao Zhuming","Dong Huanbo","Jia Jide","Yi Shouhua"],"tags":["Automotive industry","Production (economics)","Manufacturing engineering","Automotive engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-18","doi":"https://doi.org/10.1109/icdacai65086.2024.00155","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4296019789","name":"Digital Twins and Industry 4.0 Technologies for Agricultural Greenhouses","source":"openalex","abstract":"Digital twin (DT) is one of the key concepts of the fourth industrial revolution (Industry 4.0). A DT is a data-driven, digital replica of a real-world object or environment, including all the states and behaviour of the real-life counterpart. Based on research across multiple domains, DTs show great potential to improve both efficiency and sustainability. In addition, a DT is able to remove key constraints of human observations and interactions. Yet, the technology is still in its infancy. Thus, this article presents a literature search across five different databases focusing on suitable approaches for data coupling and the stages of DT implementation integration with Industry 4.0 technologies. The review process follows the systematic literature review (SLR) methodology. The selected articles cover a wide range of DT implementations across the agricultural industry, ranging from arable farming to aquaponics. Findings include identification of the stages needed to create the DTs, the data coupling processes, and how Industry 4.0 technologies (e.g., cloud-based technologies, IoT, and AI subfields) are integrated. Findings presented in this article will support others in the design of DTs and integration of Industry 4.0 technologies for agricultural greenhouses.","url":"https://doi.org/10.3390/smartcities5030059","authors":["Naftali Slob","William Hurst"],"tags":["Implementation","Computer science","Cloud computing","Industry 4.0","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-13","doi":"https://doi.org/10.3390/smartcities5030059","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2951731859","name":"Luminaire Digital Design Flow with Multi-Domain Digital Twins of LEDs","source":"openalex","abstract":"At present, when designing a Light Emitting Diode (LED) luminaire, different strategies of development are followed depending on the size of the company. Since on LED datasheets there is only limited information provided, companies designing LED luminaires spend a lot of effort gathering the required input of LED details to be able to design reliable products. Small and medium size enterprises (SMEs) do not have the bandwidth to gather such input and solely rely on empirical approaches leading to approximated luminaire designs, while larger companies use advanced hardware and software tools to characterize parts, design versions, and finally optimize all design steps. In both cases, considerable time and money is spent on prototyping, sampling, and laboratory testing. Digitalization of the complete product development (also known as Industry 4.0 approach) at all integration levels of the solid state lighting (SSL) supply chain would provide the remedy for these pains. The Delphi4LED European project aimed at developing multi-domain compact models of LED (for a consistent, combined description of electronic, thermal, and optical properties of LEDs) as digital twins of the physical products to support virtual prototyping during the design of luminaires. This paper provides an overview of the Delphi4LED approach aimed at supporting new, completely digital workflows both for SMEs and larger companies (Majors) along with some comparison with the traditional luminaire design. Two demonstration experiments are described: One to show the achievable benefits of the approach and another one to demonstrate the ease of use and ability to be accommodated in a larger scale product design for assessing design choices like e.g., number and type of LEDs versus electrical/thermal conditions and constraints, in a tool agnostic manner.","url":"https://doi.org/10.3390/en12122389","authors":["Geneviève Martin","Christophe Marty","Robin Bornoff","A. Poppe","Grigory Onushkin","M. Rencz","Joan Yu"],"tags":["Workflow","Light-emitting diode","Computer science","Software","Solid-state lighting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-06-21","doi":"https://doi.org/10.3390/en12122389","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3111772018","name":"Additive manufacturing and supply chains – a systematic review","source":"openalex","abstract":"In most supply chains, the application of additive manufacturing (AM) is still far from common. However, various industries ranging from aerospace to consumer goods are investigating its potential to enable the digital value chain. Considering these developments, the research community has supported the adoption of AM in supply chains in many ways. This article contributes to the scientific discourse by systematically reviewing relevant literature depending on industry sector, purpose and supply chain area following the SCOR framework to allow fast access to essential information. The review encompasses 1004 articles, where 141 were subjected to a full-text analysis with argument-specific coding. Findings revealed the predominant AM trends for supply chains, perceived benefits and challenges, and possible applications. Managerial implications based on an overview of (envisioned) applications of AM in different industries are outlined. Additionally, based on a qualitative analysis, gaps in the literature and future lines of research were identified.","url":"https://doi.org/10.1080/09537287.2020.1857874","authors":["Maximilian Kunovjanek","Nils Knofius","Gerald Reiner"],"tags":["Supply chain","Value chain","Business","Aerospace","Argument (complex analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-16","doi":"https://doi.org/10.1080/09537287.2020.1857874","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4401287283","name":"Adoption of Digital Twin and Artificial Intelligence in Metal Additive Manufacturing: Current Status and Vision for Future","source":"openalex","abstract":"The transformation of artificial intelligence (AI) and machine learning (ML) from computer science theory into real-world technologies is a primary driver of the fourth industrial revolution (Industry 4.0).Industry 4.0 has shifted manufacturing operations away from mechanical technologies and toward digitalization.In this era of Industry 4.0, intelligent tools and techniques are opening new dimensions to optimize manufacturing processes and systems.Metal Additive manufacturing (MAM) as a highly digitalized manufacturing technology can apply the concept of the digital twin (DT) and AI, which promises highly automated and optimized part production.However, adoption of DT and AI requiring a wide framework of various technologies, it is not state of the art yet.This paper presents a comprehensive review of AI and DT enabled models in Metal Additive Manufacturing.This paper also identifies challenges and opportunities to not only further leverage emerging technologies, artificial intelligence (AI) and digital twin (DT) for metal additive manufacturing, but also influence of future development of DT and AI to better meet the needs of additive manufacturing.These insights significantly contribute to the understanding and further development of AI and DTs in metal additive manufacturing within the context of Industry 4.0, offering a fresh perspective that aligns with the evolution of the smart manufacturing industry.These advanced technologies have radically transformed advanced manufacturing and are essential to modern economic prosperity.","url":"https://doi.org/10.18260/1-2--46522","authors":["Devi K. Kalla"],"tags":["Computer science","Current (fluid)","Artificial intelligence","Human–computer interaction","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-03","doi":"https://doi.org/10.18260/1-2--46522","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2965412973","name":"Early Stage Digital Twins for Early Stage Engineering Design","source":"openalex","abstract":"ABSTRACT While extensive modelling - both physical and virtual - is imperative to develop right-first-time products, the parallel use of virtual and physical models gives rise to two interrelated issues: the lack of revision control for physical prototypes; and the need for designers to manually inspect, measure, and interpret modifications to either virtual or physical models, for subsequent update of the other. The Digital Twin paradigm addresses similar problems later in the product life-cycle, and while these digital twins, or the “twinning” process, have shown significant value, there is little work to date on their implementation in the earlier design stages. With large prospective benefits in increased product understanding, performance, and reduced design cycle time and cost, this paper explores the concept of using the Digital Twin in early design, including an introduction to digital twinning, examination of opportunities for and challenges of their implementation, a presentation of the structure of Early Stage Twins, and evaluation via two implementation cases.","url":"https://doi.org/10.1017/dsi.2019.262","authors":["David Edward Jones","Chris Snider","Lee Kent","Ben Hicks"],"tags":["Presentation (obstetrics)","Computer science","Process (computing)","Product (mathematics)","Stage (stratigraphy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-07-01","doi":"https://doi.org/10.1017/dsi.2019.262","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3042138623","name":"An Architecture Based on Digital Twins for Smart Power Distribution System","source":"openalex","abstract":"Constructing an effective architecture based on digital twins using advanced artificial intelligent technologies remains a key challenge in smart power distribution system. Despite recent advances in important domains such as device health maintenance and manufacturing process, the conventional architecture does not offer a satisfactory solution for rapidly providing data models, a set of analytics or algorithms, and knowledge. In this work, we employ ideas from distributed network based on digital twins and from recent advances that augment artificial intelligent with big data. Our architecture provides a paradigm that uses a distributed network makes computer programming, software, and data spread out across more than one terminal, but communicate complex messages through terminal nodes, and are dependent upon each other, obviating the pressure from master station. We demonstrate the usefulness of digital twins that are used to track the performance of devices such as transformer during normal operation to detect possible defects and fix them before they result in failure. We also conclude that using digital twin technology will understand, predict, and optimize performance in order to achieve improved business outcomes, and apply machine learning and knowledge to predict the future.","url":"https://doi.org/10.1109/icaibd49809.2020.9137461","authors":["Ganghong Zhang","Chao Huo","Libin Zheng","Xinjun Li"],"tags":["Computer science","Architecture","Big data","Distributed computing","Computer architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-01","doi":"https://doi.org/10.1109/icaibd49809.2020.9137461","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4406612353","name":"The Economic Impact of Digital Twin Technology on Manufacturing Systems","source":"openalex","abstract":"Digital Twin technology is rapidly advancing, offering a virtual representation that models and connects complex physical systems for diverse purposes like simulation, monitoring, maintenance, and optimization. In contrast to traditional approaches limited to simulating specific physical processes, simulations within a digital twin comprise polymorphic environments that accurately depict large-scale systems. These digital twins remain connected to their physical counterparts through real-time data and feedback loops. While the benefits of implementing digital twins are numerous, the resources, effort, and investment required can vary for each use case. Manufacturers often must assess the return on investment (ROI) before committing to these initiatives. However, digital twins' intricate, multidimensional nature poses challenges in accurately evaluating their ROIs. This research assesses the economic impact of developing digital twins for manufacturing systems and presents a practical framework for assessing ROI. This systematic approach can help stakeholders enhance the financial viability of digital twin projects.","url":"https://doi.org/10.1109/wsc63780.2024.10838771","authors":["Ali Ahmad Malik"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838771","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4210553739","name":"Digital Twin for automated guided vehicles fleet management","source":"openalex","abstract":"As digital transformation is gaining momentum, nowadays each product is usually accompanied by a software system that can be used to manage it remotely. Automated Guided Vehicles are not an exception and are currently managed by systems that lack features required by the Industry 4.0 digital transformation. The current paper proposes upgrading traditional AGV management systems to have Digital Twins capabilities, stating, and analyzing the benefits of this change. A prototype Industry 4.0 factory with several AGVs is presented together with the current state of an ongoing project for developing Digital Twins for the AGVs. It serves as a shared ecosystem for collaboration to carry out factory layout modelling and enhance the AGV’s control software.","url":"https://doi.org/10.1016/j.procs.2022.01.172","authors":["Alexandru Matei","Dragoş Circa","Zamfirescu Bălă-Constantin"],"tags":["Computer science","Factory (object-oriented programming)","Digital transformation","Software","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procs.2022.01.172","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4319942579","name":"Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects","source":"openalex","abstract":"Railway maintenance is a complex and complicated task in the railway industry due to the number of its components and relationships. Ineffective railway maintenance results in excess cost, defective railway structure and components, longer possession time, poorer safety, and lower passenger comfort. Of the three main maintenance approaches, predictive maintenance is the trendy one, and is proven that it provides the highest efficiency. However, the implementation of predictive maintenance for the railway industry cannot be done without an efficient tool. Normally, railway maintenance is corrective when some things fail or preventive when maintenance is routine. A novel approach using an integration between deep reinforcement learning and digital twin is proposed in this study to improve the efficiency of railway maintenance which other techniques such as supervised and unsupervised learning cannot provide. In the study, Advantage Actor Critic (A2C) is used to develop a reinforcement learning model and agent to fulfill the need of the study. Real-world field data over four years and 30 km. is obtained and applied for developing the reinforcement learning model. Track geometry parameters, railway component defects, and maintenance activities are used as parameters to develop the reinforcement learning model. Rewards (or penalties) are calculated based on maintenance costs and occurring defects. The new breakthrough exhibits that using reinforcement learning integrated with digital twin can reduce maintenance activities by 21% and reduce the occurring defects by 68%. Novelties of the study are the use of A2C which is faster and provides better results than other traditional techniques such as Deep Q-learning (DQN), each track geometry parameter is considered without combining into a track quality index, filed data are used to develop the reinforcement learning model, and seven independent actions are included in the reinforcement learning model. This study is the world's first to contribute a new guideline for applying reinforcement learning and digital twins to improve the efficiency of railway maintenance, reduce the number of defects, reduce the maintenance cost, reduce the possession time for railway maintenance, improve the overall safety of the railway operation, and improve the passenger comfort which can be seen from its results.","url":"https://doi.org/10.1038/s41598-023-29526-8","authors":["Jessada Sresakoolchai","Sakdirat Kaewunruen"],"tags":["Reinforcement learning","Predictive maintenance","Track geometry","Computer science","Corrective maintenance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-10","doi":"https://doi.org/10.1038/s41598-023-29526-8","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4206558054","name":"Digital Twin Technology: The Future of Predicting Neurological Complications of Pediatric Cancers and Their Treatment","source":"openalex","abstract":"Healthcare technologies have seen a surge in utilization during the COVID 19 pandemic. Remote patient care, virtual follow-up and other forms of futurism will likely see further adaptation both as a preparational strategy for future pandemics and due to the inevitable evolution of artificial intelligence. This manuscript theorizes the healthcare applications of digital twin technology. Digital twin is a triune concept that involves a physical model, a virtual counterpart, and the interplay between the two constructs. This interface between computer science and medicine is a new frontier with broad potential applications. We propose that digital twin technology can exhaustively and methodologically analyze the associations between a physical cancer patient and a corresponding digital counterpart with the goal of isolating predictors of neurological sequalae of disease. This proposition stems from the premise that data science can complement clinical acumen to scientifically inform the diagnostics, treatment planning and prognostication of cancer care. Specifically, digital twin could predict neurological complications through its utilization in precision medicine, modelling cancer care and treatment, predictive analytics and machine learning, and in consolidating various spectra of clinician opinions.","url":"https://doi.org/10.3389/fonc.2021.781499","authors":["Grace M. Thiong’o","James T. Rutka"],"tags":["Premise","Health care","Computer science","Pandemic","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-18","doi":"https://doi.org/10.3389/fonc.2021.781499","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4226277756","name":"A Digital Twin-Driven and Conceptual Framework for Enabling Extended Reality Applications: A Case Study of a Brake Discs Manufacturer","source":"openalex","abstract":"With the recent advent of new concepts and technologies such as Internet of Things, Big Data, Artificial Intelligence, a new data-driven paradigm, named Digital Twin, is emerging in the context of the Fourth Industrial Revolution and is attracting the interest of academics and practitioners. Although the benefits offered by the Digital Twin in manufacturing are multiple, this concept has not yet reached its large-scale spread and a lot of effort is still needed, especially in terms of real-life applications. In this paper, a Digital Twin-based and conceptual framework for enabling extended reality applications is proposed and discussed. Its goodness is proven through the application to a real case study, with reference to a company that produces brake discs for automobiles. The proposed framework is able to determine the most convenient number of operators and Automated Guided Vehicles to be used in the production department. In the conclusions, the possible future developments of this research work are discussed, which mainly concern experiments through the use of the 5G network, which is able to guarantee an effective and efficient real-time alignment between the real environment and the digital twin.","url":"https://doi.org/10.1016/j.procs.2022.01.389","authors":["Mario Catalano","Alessandro Chiurco","Caterina Fusto","Lucia Gazzaneo","Francesco Longo","Giovanni Mirabelli","Letizia Nicoletti","Vittorio Solina","Simone Talarico"],"tags":["Computer science","Big data","Context (archaeology)","Conceptual framework","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procs.2022.01.389","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4387686379","name":"Development and implementation of a roadmapping methodology to foster twin transition at manufacturing plant level","source":"openalex","abstract":"Climate change and resource depletion are reshaping economies, compelling governments, society, and businesses to seek solutions that could meet both economic and environmental needs. Due to their relevance to environmental damage, manufacturers are pushed to achieve a sustainable transition in a relatively short time. In this scenario, Industry 4.0 reportedly act as a facilitator of the processes thus leading to the concept of Twin Transition (TT) or digitally-enabled sustainable transition. However, even if literature is aware of the role that I4.0 plays in enhancing sustainability, companies still face a multitude of barriers that hinder the actual implementation of such transition. This paper aims at proposing a new roadmapping methodology to guide manufacturing companies toward TT and link the strategic goals to operations activities. The methodology originates from both an analysis of the barriers faced by manufacturers found in literature and the empirical observations of the authors throughout their research with manufacturing firms. The methodology was implemented in an application case involving 3 independent plants of a multinational company operating in the Food & Beverage sector. The analysis of barriers was performed via a systematic literature review that allowed to identify 39 barriers clustered as Micro (single firm), Meso (network) and Macro (ecosystem). The results show that the methodology applies to single manufacturing plants, and it addresses challenges at micro and meso levels.","url":"https://doi.org/10.1016/j.compind.2023.104025","authors":["Marco Spaltini","Sergio Terzi","Marco Taisch"],"tags":["Business","Sustainability","Multinational corporation","Facilitator","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-16","doi":"https://doi.org/10.1016/j.compind.2023.104025","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3175432212","name":"Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector","source":"openalex","abstract":"Quality 4.0 corresponds to the growing digitisation of industry, which uses advanced technologies to enhance the quality of manufacturing and services. This fourth quality revolution is envisaged to digitise the entire quality systems and subsequently improve the existing quality approaches. Innovative industries adopt cloud-based quality 4.0 innovations in the controlled production process. It is used to resolve quality problems satisfactorily when they emerge and carry out real-time quality analyses to improve competitiveness and use them. Various ongoing challenges are take-over by Quality 4.0 technologies, such as automated root cause analysis, machine-to-machine connectivity to parameter auto adjustment, simulation of real-time processes and more. Quality 4.0 is a modern form of quality management. Digital technologies paired with more sophisticated methods and smarter processes will allow high-performance teams to provide consumers with high-performance and quality goods reliably. Sensors play an essential role in improving the quality of manufacturing and services. These can improve protection, increased internal productivity and sustainable operations. This paper provides how quality 4.0 will have a significant impact in the field of manufacturing. Various Key Aspects and enablers of Quality 4.0 for Manufacturing are discussed, finally, Identified and discussed eighteen significant applications of Quality 4.0 in the field of manufacturing. Quality 4.0 not only concerns the things happening inside a factory; it also includes the complete supply chain from Research and Development (R&D), manufacturing, development, distribution, sales, and service after-sales.","url":"https://doi.org/10.1016/j.sintl.2021.100109","authors":["Mohd Javaid","Abid Haleem","Ravi Pratap Singh","Rajiv Suman"],"tags":["Quality (philosophy)","Manufacturing engineering","Quality management","Productivity","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.sintl.2021.100109","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4297236664","name":"A state-of-the-art on production planning in Industry 4.0","source":"openalex","abstract":"The Industry 4.0 revolution is changing the manufacturing landscape. A broad set of new technologies emerged (including software and connected equipment) that digitise manufacturing systems. These technologies bring new vitality and opportunities to the manufacturing industry, but they also bring new challenges. This paper focuses on the impact of Industry 4.0 on production planning approaches and software. We first propose a digital twin framework that integrates production planning systems and frontier technologies. The frontier technologies that may impact production planning software are the internet of things, cloud manufacturing, blockchain, and big data analytics. Second, we provide a state-of-the-art on the application of each technology in the production planning, as well as a detailed analysis of the benefit and application status. Finally, this paper discusses the future research and application directions in the production planning. We conclude that Industry 4.0 will lead to the construction of data-driven models for production planning software. These tools will include models built accurately from data, account for uncertainty, and partially actuate the decision autonomously.","url":"https://doi.org/10.1080/00207543.2022.2122622","authors":["Dan Luo","Simon Thevenin","Alexandre Dolgui"],"tags":["Production planning","Industry 4.0","Cloud computing","Production (economics)","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-25","doi":"https://doi.org/10.1080/00207543.2022.2122622","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3159980834","name":"Classroom Digital Twins with Instrumentation-Free Gaze Tracking","source":"openalex","abstract":"Classroom sensing is an important and active area of research with great potential to improve instruction. Complementing professional observers – the current best practice – automated pedagogical professional development systems can attend every class and capture fine-grained details of all occupants. One particularly valuable facet to capture is class gaze behavior. For students, certain gaze patterns have been shown to correlate with interest in the material, while for instructors, student-centered gaze patterns have been shown to increase approachability and immediacy. Unfortunately, prior classroom gaze-sensing systems have limited accuracy and often require specialized external or worn sensors. In this work, we developed a new computer-vision-driven system that powers a 3D “digital twin” of the classroom and enables whole-class, 6DOF head gaze vector estimation without instrumenting any of the occupants. We describe our open source implementation, and results from both controlled studies and real-world classroom deployments.","url":"https://doi.org/10.1145/3411764.3445711","authors":["Karan Ahuja","Deval Shah","Sujeath Pareddy","Françeska Xhakaj","Amy Ogan","Yuvraj Agarwal","Chris Harrison"],"tags":["Gaze","Instrumentation (computer programming)","Computer science","Tracking (education)","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-06","doi":"https://doi.org/10.1145/3411764.3445711","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4390639795","name":"Survey on open‐source digital twin frameworks–A case study approach","source":"openalex","abstract":"Abstract Digital twin (DT) technology has been a topic with academic and industrial coverage in recent years. DTs are intended to be a virtual high‐fidelity representation of a physical counterpart. Its complex nature requires several components to create and run a DT, and that is why many DT frameworks have been proposed in the literature. There are also many surveys of DTs, but none that is bottom‐up with concrete examples and focused on open‐source software. This survey analyzes 14 open‐source DT frameworks in 10 different dimensions, which are then categorized in six different groups according to their modeling and technological domain, to present the reader different options for creating and managing DT applications, and to understand potential combinations, uses, and limitations of the tools. It also presents a case study with five of the explored DT frameworks, describing the process on how the DT is set up and comparing their capabilities based on the services to be provided by the DT. Finally, it discusses advantages and limitations of the tools according to domain, requirements, and scope, relevant aspects regarding built‐in simulations and data analytics, theory‐to‐practice transition, and advantages/disadvantages of using open‐source software instead of commercial. Main limitations of the study due to its narrow niche, conclusions, and opportunities for future research regarding the potential room for improvement in terms of out‐of‐the‐box features and services for DTs, are also shown.","url":"https://doi.org/10.1002/spe.3305","authors":["Santiago Gil","Peter Høgh Mikkelsen","Cláudio Gomes","Peter Gorm Larsen"],"tags":["Computer science","Open source","Data science","Programming language","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-06","doi":"https://doi.org/10.1002/spe.3305","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4220849905","name":"Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience","source":"openalex","abstract":"Abstract An organisation's sustainability performance is influenced by its capabilities (skills, resources and competences) which in turn affects the performance of its entire supply chain. However, recent research has not sufficiently explored the convergence of dynamic capabilities, circular economy, resilience and Industry 4.0 concepts for manufacturing supply chains. Therefore, this study aims to identify how dynamic capabilities theory can enable circular and resilient supply chains. A qualitative research process was deployed in three stages: literature review, European project and nine expert interviews. Key investigative variables were used to identify capabilities used in manufacturing, and five research propositions were developed to address the gaps found in literature. The empirical data helped reveal challenges to circular economy implementation and validate the literature findings. The main contributions include a dynamic capabilities model, a causal relationship model and five research propositions for circular economy implementation.","url":"https://doi.org/10.1002/bse.3040","authors":["Arpita Chari","Denis Niedenzu","Mélanie Despeisse","Carla Gonçalves Machado","João Azevedo","Rui Dias","Björn Johansson"],"tags":["Circular economy","Dynamic capabilities","Supply chain","Resilience (materials science)","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-22","doi":"https://doi.org/10.1002/bse.3040","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385310241","name":"A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries","source":"openalex","abstract":"Energy intensive industries can be classified into those that process metal, glass, ceramics, paper, cement, and bulk chemicals. They are associated with significantly high proportions of carbon emissions, consume a lot of energy and raw materials, and cause energy wastage as a result of heat escaping from furnaces, reheating of products, and rejection of parts. In alignment with UN sustainable development goals of industry, innovation, infrastructure and responsible consumption and production, it is important to ensure that the energy consumption of EIIs are monitored and reduced such that their energy efficiency can be improved. Towards this aim, it is possible to employ the concepts of digitalization and smart manufacturing to identify the critical areas of improvement and establish enablers that can help improve the energy efficiency. The aim of this research is to review the current state of digitalisation in energy-intensive industries and propose a framework to support the realisation of sustainable smart manufacturing in Energy Intensive Industries (EIIs). The key objectives of the work are (i) the investigation of process mining and simulation modelling to support sustainability, (ii) embedding intelligence in EIIs to improve energy and material efficiency and (iii) proposing a framework to enable the digital transformation of EIIs. The proposed five-layer framework employs data acquisition, process management, simulation & modelling, artificial intelligence, and data visualisation to identify and forecast energy consumption. A detailed description of the various phases of the framework and how they can be used to support sustainability and smart manufacturing is demonstrated using business process data obtained from a machining industry. In the demonstrated case study, the process management layer utilises Disco for process mining, the simulation layer utilises Matlab SimEvent for discrete-event simulation, the artificial intelligence layer utilises Matlab for energy prediction and the visualisation layer utilises grafana to dashboard the e-KPIs. The findings of the research indicate that the proposed digital life-cyle framework helps EIIs realise sustainable smart manufacturing through better understanding of the energy-intensive processes. The study also provided a better understanding of the integration of process mining and simulation & modelling within the context of EIIs.","url":"https://doi.org/10.1016/j.jclepro.2023.138259","authors":["Malarvizhi Kaniappan Chinnathai","Buğra Alkan"],"tags":["Energy consumption","Efficient energy use","Sustainability","Process (computing)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-27","doi":"https://doi.org/10.1016/j.jclepro.2023.138259","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4321843686","name":"Securing Networks of IoT Devices With Digital Twins and Automated Adversary Emulation","source":"openalex","abstract":"With the number of Internet-connected devices (things), expected to be almost 30 billion by 2030, the Internet of Things (IoT) technologies already became a part of everyday life, various areas like public health, smart cars, smart grids, smart cities, smart manufacturing and smart homes. On the other hand there is also the necessity of securing all these devices from possible cyber-attacks. In this paper, We investigate the current state of the art of IoT security and Digital Twins, digital representations of physical objects. We then use this knowledge to propose a novel methodology to use Cyber Digital Twins and Autonomous Adversary Emulation to improve the security of IoT devices. Consequently, we show that this methodology has the potential to improve the security of IoT applications. This work contributes a review of the state of the art in IoT security research and a novel method for improving IoT device security.","url":"https://doi.org/10.1109/icsec56337.2022.10049355","authors":["Ewout Willem van der Wal","Mohammed El‐Hajj"],"tags":["Emulation","Adversary","Computer security","Computer science","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-21","doi":"https://doi.org/10.1109/icsec56337.2022.10049355","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3022470179","name":"Exercise of digital kaizen activities based on ‘digital triplet’ concept","source":"openalex","abstract":"For supporting kaizen (continuous improvement) activities typically observed in Japanese manufacturing companies, we are developing the concept of ‘Digital Triple’ as an extension of Digital Twin. Digital Triplet contains intelligent activity world in addition to the cyber world and the physical world and emphasizes the ability of knowledge-based support for manufacturing system engineers. At the same time, we are developing an education program based on Digital Triplet. This program contains an exercise in which students execute kaizen with a prototype CPS system of a learning factory. This paper reports the contents of this exercise in relation with Digital Triplet and describes the results of two trial sessions of this exercise.","url":"https://doi.org/10.1016/j.promfg.2020.04.025","authors":["Yasushi Umeda","Jun Ota","Shouhei Shirafuji","Fumio Kojima","Masahiro Saito","Hiroki Matsuzawa","Takuji Sukekawa"],"tags":["Kaizen","Factory (object-oriented programming)","Relation (database)","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.promfg.2020.04.025","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3113402032","name":"Enhancement of High-Resolution 3D Inkjet-Printing of Optical Freeform Surfaces Using Digital Twins","source":"openalex","abstract":"3D-inkjet-printing is just beginning to take off in the optical field. Advantages of this technique include its fast and cost-efficient fabrication without tooling costs. However, there are still obstacles preventing 3D inkjet-printing from a broad usage in optics, e.g., insufficient form fidelity. In this article, we present the formulation of a digital twin by the enhancement of an optical model by integrating geometrical measurement data. This approach strengthens the high-precision 3D printing process to fulfil optical precision requirements. A process flow between the design of freeform components, fabrication by inkjet printing, the geometrical measurement of the fabricated optical surface, and the feedback of the measurement data into the simulation model was developed, and its interfaces were defined. The evaluation of the measurements allowed for the adaptation of the printing process to compensate for process errors and tolerances. Furthermore, the performance of the manufactured component was simulated and compared with the nominal performance, and the enhanced model could be used for sensitivity analysis. The method was applied to a highly complex helical surface that allowed for the adjustment of the optical power by rotation. We show that sensitivity analysis could be used to define acceptable tolerance budgets of the process.","url":"https://doi.org/10.3390/mi12010035","authors":["Ingo Sieber","Richard Thelen","Ulrich Gengenbach"],"tags":["3D printing","Fabrication","Process (computing)","Sensitivity (control systems)","Inkjet printing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-30","doi":"https://doi.org/10.3390/mi12010035","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3190799213","name":"Mechanisms controlling fracture toughness of additively manufactured stainless steel 316L","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10704-021-00574-3","authors":["Deepak Kumar","Suyog Jhavar","Abhinav Arya","Konda Gokuldoss Prashanth","Satyam Suwas"],"tags":["Materials science","Fracture toughness","Austenitic stainless steel","Selective laser melting","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-21","doi":"https://doi.org/10.1007/s10704-021-00574-3","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4406699637","name":"Virtual reality integration and credible traceability management method of transformer coil manufacturing process based on industrial internet and digital twin","source":"openalex","abstract":"The traceability and management of the transformer coil manufacturing process lack credibility and transparency, which limits its efficiency and convenience. To address this issue, this paper proposes a novel approach for trusted traceability and management of coils in the manufacturing process. This method leverages the virtual-real fusion through the integration of industrial internet identification and resolution, blockchain technology, and digital twins. To ensure trusted storage and precise traceability of information in the coil manufacturing process, the structure of a reliable identification block for all the elements of the coil manufacturing information is studied. A trusted interaction mechanism based on distributed Oracle is also proposed for uploading data to the blockchain. An efficient traceability process for coil manufacturing information is then designed. To ensure the transparency and timeliness in the traceability of the coil manufacturing process, a digital twin modeling method based on industrial internet NFTs is studied, and a virtual-real fusion traceability process based on digital twins is expanded. A coil production workshop is considered as an example to conduct experiments and verifications. The virtual-real fusion trusted traceability of the coil manufacturing process is finally performed based on the identification of all the resources in the workshop and the integration of full-process information.","url":"https://doi.org/10.1080/0951192x.2025.2452615","authors":["Xuedong Zhang","Sun Wenlei","Wang Lixin","Yifei Hua","Ke Chen"],"tags":["Traceability","The Internet","Process (computing)","Manufacturing engineering","Electromagnetic coil"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-22","doi":"https://doi.org/10.1080/0951192x.2025.2452615","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4283744613","name":"A review on additive manufacturing of refractory tungsten and tungsten alloys","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.addma.2022.103009","authors":["Alberico Talignani","Raiyan Seede","Austin Whitt","Shiqi Zheng","Jianchao Ye","İbrahim Karaman","Michael Kirka","Yutai Katoh","Yinmin Wang"],"tags":["Tungsten","Materials science","Refractory metals","Refractory (planetary science)","Fusion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-29","doi":"https://doi.org/10.1016/j.addma.2022.103009","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4200485353","name":"Digital Twin Geometry for Fibrous Air Filtration Media","source":"openalex","abstract":"Computational modeling of air filtration is possible by replicating nonwoven nanofibrous meltblown or electrospun filter media with digital representative geometry. This article presents a methodology to create and modify randomly generated fiber geometry intended as a digital twin replica of fibrous filtration media. Digital twin replicas of meltblown and electrospun filter media are created using Python scripting and Ansys SpaceClaim. The effect of fiber stiffness, represented by a fiber relaxation slope, is analyzed in relation to resulting filter solid volume fraction and thickness. Contemporary air filtration media may also be effectively modeled analytically and tested experimentally in order to yield valuable information on critical characteristics, such as overall resistance to airflow and particle capture efficiency. An application of the Single Fiber Efficiency model is incorporated in this work to illustrate the estimation of performance for the generated media with an analytical model. The resulting digital twin fibrous geometry compares well with SEM imagery of fibrous filter materials. This article concludes by suggesting adaptation of the methodology to replicate digital twins of other nonwoven fiber mesh applications for computational modeling, such as fiber reinforced additive manufacturing and composite materials.","url":"https://doi.org/10.3390/fib9120084","authors":["Ivan P. Beckman","Gentry Berry","Heejin Cho","Guillermo A. Riveros"],"tags":["Materials science","Filtration (mathematics)","Porous medium","Fiber","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-16","doi":"https://doi.org/10.3390/fib9120084","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2795032996","name":"Additive manufacturing technology: the status, applications, and prospects","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-018-1932-y","authors":["Insaf Bahnini","Mickaël Rivette","Ahmed Rechia","Ali Siadat","Abdelilah El Mesbahi"],"tags":["Mass customization","Manufacturing engineering","Stereolithography","Advanced manufacturing","Computer-integrated manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-03-27","doi":"https://doi.org/10.1007/s00170-018-1932-y","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4385162048","name":"A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced","source":"openalex","abstract":"The concept of the digital twin has been adopted as an important aspect in digital transformation of power systems. Although the notion of the digital twin is not new, its adoption into the energy sector has been recent and has targeted increased operational efficiency. This paper is focused on addressing an important gap in the research literature reviewing the state of the art in utilization of digital twin technology in microgrids, an important component of power systems. A microgrid is a local power network that acts as a dependable island within bigger regional and national electricity networks, providing power without interruption even when the main grid is down. Microgrids are essential components of smart cities that are both resilient and sustainable, providing smart cities the opportunity to develop sustainable energy delivery systems. Due to the complexity of design, development and maintenance of a microgrid, an efficient simulation model with ability to handle the complexity and spatio-temporal nature is important. The digital twin technologies have the potential to address the above-mentioned requirements, providing an exact virtual model of the physical entity of the power system. The paper reviews the application of digital twins in a microgrid at electrical points where the microgrid connects or disconnects from the main distribution grid, that is, points of common coupling. Furthermore, potential applications of the digital twin in microgrids for better control, security and resilient operation and challenges faced are also discussed.","url":"https://doi.org/10.3390/en16145525","authors":["Namita Kumari","Ankush Sharma","Binh Tran","Naveen Chilamkurti","Damminda Alahakoon"],"tags":["Microgrid","Smart grid","Computer science","Electric power system","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-21","doi":"https://doi.org/10.3390/en16145525","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W3185598236","name":"Conditional StyleGAN modelling and analysis for a machining digital twin","source":"openalex","abstract":"Manufacturing digitalisation is a critical part of the transition towards Industry 4.0. Digital twin plays a significant role as the instrument that enables digital access to precise real-time information about physical objects and supports the optimisation of the related processes through conversion of the big data associated with them into actionable information. A number of frameworks and conceptual models has been proposed in the research literature that addresses the requirements and benefits of digital twins, yet their applications are explored to a lesser extent. A time-domain machining vibration model based on a generative adversarial network (GAN) is proposed as a digital twin component in this paper. The developed conditional StyleGAN architecture enables (1) the extraction of knowledge from existing models and (2) a data-driven simulation applicable for production process optimisation. A novel solution to the challenges in GAN analysis is then developed, where the comparison of maps of generative accuracy and sensitivity reveals patterns of similarity between these metrics. The sensitivity analysis is also extended to the mid-layer network level, identifying the sources of abnormal generative behaviour. This provides a sensitivity-based simulation uncertainty estimate, which is important for validation of the optimal process conditions derived from the proposed model.","url":"https://doi.org/10.3233/ica-210662","authors":["Е. В. Зотов","Ashutosh Tiwari","Visakan Kadirkamanathan"],"tags":["Computer science","Component (thermodynamics)","Generative grammar","Sensitivity (control systems)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-27","doi":"https://doi.org/10.3233/ica-210662","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4282823140","name":"Integrated Smart Warehouse and Manufacturing Management with Demand Forecasting in Small-Scale Cyclical Industries","source":"openalex","abstract":"In the context of the global economic slowdown, demand forecasting, and inventory and production management have long been important topics to the industries. With the support of smart warehouses, big data analytics, and optimization algorithms, enterprises can achieve economies of scale, and balance supply and demand. Smart warehouse and manufacturing management is considered the culmination of recently advanced technologies. It is important to enhance the scalability and extendibility of the industry. Despite many researchers having developed frameworks for smart warehouse and manufacturing management for various fields, most of these models are mainly focused on the logistics of the product and are not generalized to tackle the specific manufacturing problem facing in the cyclical industry. Indeed, the cyclical industry has a key problem: the big risk which high sensitivity poses to the business cycle and economic recession, which is difficult to foresee. Despite many inventory optimization approaches being proposed to optimize the inventory level in the warehouse and facilitate production management, the demand forecasting technique is seldom focused on the cyclic industry. On the other hand, management approaches are usually based on the complex logistics process instead of integrating the inventory level of the stock, which is very crucial to composing smart warehouses and manufacturing. This research study proposed a digital twin framework by integrating the smart warehouse and manufacturing with the roulette genetic algorithm for demand forecasting in the cyclical industry. We also demonstrate how this algorithm is practically implemented for forecasting the demand, sustaining manufacturing optimization, and achieving inventory optimization. We adopted a small-scale textile company case study to demonstrate the proposed digital framework in the warehouse and demonstrate the results of demand forecasting and inventory optimization. Various scenarios were conducted to simulate the results for the digital twin. The proposed digital twin framework and results help manufacturers and logistics companies to improve inventory management. This study has important theoretical and practical significance for the management of the cyclical industry.","url":"https://doi.org/10.3390/machines10060472","authors":["Yuk Ming Tang","G.T.S. Ho","Yui‐yip Lau","Shuk-Ying Tsui"],"tags":["Demand forecasting","Computer science","Big data","Analytics","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-13","doi":"https://doi.org/10.3390/machines10060472","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4381572789","name":"Collaborative robots in manufacturing and assembly systems: literature review and future research agenda","source":"openalex","abstract":"Abstract Nowadays, considering the constant changes in customers’ demands, manufacturing systems tend to move more and more towards customization while ensuring the expected reactivity. In addition, more attention is given to the human factors to, on the one hand, create opportunities for improving the work conditions such as safety and, on the other hand, reduce the risks brought by new technologies such as job cannibalization. Meanwhile, Industry 4.0 offers new ways to facilitate this change by enhancing human–machine interactions using Collaborative Robots (Cobots). Recent research studies have shown that cobots may bring numerous advantages to manufacturing systems, especially by improving their flexibility. This research investigates the impacts of the integration of cobots in the context of assembly and disassembly lines. For this purpose, a Systematic Literature Review (SLR) is performed. The existing contributions are classified on the basis of the subject of study, methodology, methodology, performance criteria, and type of Human-Cobot collaboration. Managerial insights are provided, and research perspectives are discussed.","url":"https://doi.org/10.1007/s10845-023-02137-w","authors":["Ali Keshvarparast","Daria Battini","Olga Battaïa","Amir Pirayesh"],"tags":["Personalization","Flexibility (engineering)","Context (archaeology)","Robot","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-30","doi":"https://doi.org/10.1007/s10845-023-02137-w","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W2917094482","name":"DIGITAL TWINS AS A MODERN APPROACH TO DESIGN OF INDUSTRIAL PROCESSES","source":"openalex","abstract":"The objective of the paper was to describe the concept of a virtual, digital equivalent to a physical process. The basic idea of the virtual counterpart for the process called a digital twin is described first. Following this the hybrid computer system dedicated to the design of the optimal manufacturing technology for thin steel strips is presented. The models used in the system and the database are described. Numerical tests showing capabilities of the system recapitulate the work. 1.","url":"https://doi.org/10.5604/01.3001.0013.0456","authors":["Łukasz Rauch","Maciej Pietrzyk"],"tags":["Process (computing)","Computer science","STRIPS","Engineering drawing","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-02-20","doi":"https://doi.org/10.5604/01.3001.0013.0456","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:41.242Z"},{"id":"oa:W4387442990","name":"A multi-dimensional evolution modeling method for digital twin process model","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102667","authors":["Jinfeng Liu","Qiukai Ji","Honggen Zhou","Chenxiao Du","Xiaojun Liu","Mingxuan Li"],"tags":["Computer science","Semantics (computer science)","Feature (linguistics)","Process (computing)","Machining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-09","doi":"https://doi.org/10.1016/j.rcim.2023.102667","addedAt":"2026-09-01T01:47:41.242Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W2903759803","name":"Implementation of “Digital Twin” Concept for Modern Project-Based Engineering Education","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-01614-2_18","authors":["S. Nikolaev","Marjan Gušev","Daniil I. Padalitsa","Е. Р. Моженков","С. А. Мишин","Ighor Uzhinsky"],"tags":["Computer science","Engineering ethics","Engineering management","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1007/978-3-030-01614-2_18","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4405836446","name":"A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.103066","authors":["K.B. Mustapha"],"tags":["Product design","Product (mathematics)","Manufacturing engineering","Engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-27","doi":"https://doi.org/10.1016/j.aei.2024.103066","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4381415683","name":"Task Incremental Learning-Driven Digital-Twin Predictive Modeling for Customized Metal Forming Product Manufacturing Process","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4486176","authors":["Jie Li","Zili Wang","Shuyou Zhang","Yaochen Lin","Jianrong Tan","Lanfang Jiang"],"tags":["Task (project management)","Process (computing)","Product (mathematics)","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2139/ssrn.4486176","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4312553114","name":"Distributed Resource Optimization With Blockchain Security for Immersive Digital Twin in IIoT","source":"openalex","abstract":"Virtual reality-embedded digital twin (VR-DT) service integrates digital twin with virtual reality to visualize the digital representation of real-world production, boosting the digital transformation of manufacturing industry in the Industrial Internet of Things (IIoT). Balanced against the advantages of the VR-DT service, its data-driven, computing-intensive, and security-sensitive features bring challenges to the current IIoT. Therefore, we propose a blockchain-based distributed resource allocation scheme to improve the average Quality of Service (QoS) of the VR-DT services with regard to service delay and transaction throughput. We formulate the joint optimization of channel assignment, subframe configuration, computing capacity allocation, and block size adjustment as a mixed-integer nonlinear programming problem. A fully decentralized multiagent compound-action actor–critic algorithm is developed to solve the QoS optimization problem. Simulation results demonstrate that our proposed scheme can efficiently improve the average QoS of the VR-DT services in a realizable way as compared to existing schemes.","url":"https://doi.org/10.1109/tii.2022.3224986","authors":["Jing Song","Ya Kang","Qingyang Song","Lei Guo","Abbas Jamalipour"],"tags":["Computer science","Quality of service","Distributed computing","Throughput","Resource allocation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-28","doi":"https://doi.org/10.1109/tii.2022.3224986","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4229029284","name":"Artificial intelligence enabled Digital Twins for training autonomous cars","source":"openalex","abstract":"This exploration is aimed at the system prediction and safety performance of the Digital Twins (DTs) of autonomous cars based on artificial intelligence technology, and the intelligent development of transportation in the smart city. On the one hand, considering the problem of safe driving of autonomous cars in intelligent transportation systems, it is essential to ensure the transmission safety of vehicle data and realize the load balancing scheduling of data transmission resources. On the other hand, convolution neural network (CNN) of the deep learning algorithm is adopted and improved, and then, the DTs technology is introduced. Finally, an autonomous cars DTs prediction model based on network load balancing and spatial-temporal graph convolution network is constructed. Moreover, through simulation, the performance of this model is analyzed from perspectives of Accuracy, Precision, Recall, and F1-score. The experimental results demonstrate that in comparative analysis, the accuracy of road network prediction of the model reported here is 92.70%, which is at least 2.92% higher than that of the models proposed by other scholars. Through the analysis of the security performance of network data transmission, it is found that this model achieves a lower average delay time than other comparative models. Besides, the message delivery rate is basically stable at 80%, and the message leakage rate is basically stable at about 10%. Therefore, the prediction model for autonomous cars constructed here not only ensures low delay but also has excellent network security performance, so that information can interact more efficiently. The research outcome can provide an experimental basis for intelligent development and safety performance improvement in the transportation field of smart cities.","url":"https://doi.org/10.1016/j.iotcps.2022.05.001","authors":["Dongliang Chen","Zhihan Lv"],"tags":["Computer science","Scheduling (production processes)","Artificial neural network","Real-time computing","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.iotcps.2022.05.001","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4383313134","name":"Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap","source":"openalex","abstract":"Despite the hype surrounding Industry 5.0 and its importance for sustainability, the micro-mechanisms through which this agenda can lead to socio-environmental values are largely understudied. The present study strived to address this knowledge gap by developing a strategic roadmap that outlines how Industry 5.0 can boost sustainable manufacturing. The study first conducted a content-centric literature review and identified 12 functions through which Industry 5.0 can inclusively boost sustainable manufacturing. The study further developed a strategic roadmap that identified the complex contextual relationships among the functions and explained how they should be synergistically leveraged to maximize their contribution to sustainability. Results reveal that value network integration, sustainable technology governance, sustainable business model innovation, and sustainable skill development are the most driver and tangible implications of Industry 5.0 for sustainable manufacturing. Alternatively, renewable integration and manufacturing resilience are among the most dependent and hard-to-reach sustainable functions of Industry 5.0, and their materialization requires major strategic collaboration among stakeholders. The strategic roadmap outlines how Industry 5.0 stakeholders can leverage the technological and functional constituents of this agenda to promote sustainable manufacturing inclusively.","url":"https://doi.org/10.1016/j.jclepro.2023.138023","authors":["Morteza Ghobakhloo","Mohammad Iranmanesh","Behzad Foroughi","Erfan Babaee Tırkolaee","Shahla Asadi","Azlan Amran"],"tags":["Sustainability","Business","Leverage (statistics)","Sustainable development","Technology roadmap"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-06","doi":"https://doi.org/10.1016/j.jclepro.2023.138023","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4313891040","name":"Digital Technologies in Offsite and Prefabricated Construction: Theories and Applications","source":"openalex","abstract":"Due to its similarity to industrialized products, the offsite construction industry is seen as a focus for the transformation of Construction 4.0. Many digital technologies have been applied or have the potential to be applied to realize the integration of design, manufacturing, and assembly. The main objective of this review was to identify the current stage of applying digital technologies in offsite construction. In this review, 171 related papers from the last 10 years (i.e., 2013–2022) were obtained by collecting and filtering them. They were classified and analyzed according to the digital twin concept, application areas, and specific application directions. The results indicated that there are apparent differences in the utilization and development level of different technologies in different years. Meanwhile, the introduction, current stages, and benefits of different digital technologies are also discussed. Finally, this review summarizes the current popular fields and speculates on future research directions by analyzing article publication trends, which sheds light on future research.","url":"https://doi.org/10.3390/buildings13010163","authors":["Zhuo Cheng","Shengxian Tang","Hexu Liu","Zhen Lei"],"tags":["Emerging technologies","Current (fluid)","Focus (optics)","Computer science","Prefabrication"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-09","doi":"https://doi.org/10.3390/buildings13010163","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4402910707","name":"Smart Manufacturing with a Digital Twin –Driven Cyber‐physical System: Case Study and Application Scenario","source":"openalex","abstract":"In the smart world, smart systems that can communicate with us and offer services as needed are widely available in the market. These use cyber-physical systems for power. Medical monitoring, process control systems, robotic systems, and autonomous pilot avionics are some of the fields already utilizing CPS. It encompasses technology areas of cybernetics, mechatronics, embedded system, artificial intelligence (AI), design, and much more. Likewise, another advanced virtual technology is digital twin (DT). A digital twin is a virtual or digital replica of tangible goods or items. It serves as a link between the real world and the digital one. By combining the virtual and real worlds, it is now possible to analyze data and keep track of systems to see issues before they arise, save downtime, create new opportunities, and even simulate the future to make plans. This chapter is an analysis about the implementation of data twin and cyber-physical systems in smart manufacturing at different sectors like health care, manufacturing, transportation, entertainment, civil infrastructure, aerospace, automotive, chemical processes, energy, and consumer appliances with various case studies and about the Industry4.0, the Fourth Industrial Revolution, and the technology that shift to smart manufacturing.","url":"https://doi.org/10.1002/9781394195336.ch11","authors":["P. Abinaya","S. Prem Kumar","P. Sivaprakash","K. Arun Kumar","B. Shuriya","Surbhi Bhatia Khan"],"tags":["Cyber-physical system","Computer science","Chemistry","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-27","doi":"https://doi.org/10.1002/9781394195336.ch11","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W4404351645","name":"PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing","source":"openalex","abstract":"Over the years, Digital Twin (DT) has become popular in Advanced Manufacturing (AM) due to its ability to improve production efficiency and quality. By creating virtual replicas of physical assets, DTs help in real-time monitoring, develop predictive models, and improve operational performance. However, integrating data from physical systems into reliable predictive models, particularly in precision measurement and failure prevention, is often challenging and less explored. This study introduces a Predictive Maintenance and Inspection Digital Twin (PMI-DT) framework with a focus on precision measurement and predictive quality assurance using 3D-printed 1''-4 ACME bolt, CyberGage 360 vision inspection system, SolidWorks, and Microsoft Azure. During this approach, dimensional inspection data is combined with fatigue test results to create a model for detecting failures. Using Machine Learning (ML) -- Random Forest and Decision Tree models -- the proposed approaches were able to predict bolt failure with real-time data 100% accurately. Our preliminary result shows Max Position (30%) and Max Load (24%) are the main factors that contribute to that failure. We expect the PMI-DT framework will reduce inspection time and improve predictive maintenance, ultimately giving manufacturers a practical way to boost product quality and reliability using DT in AM.","url":"https://doi.org/10.48550/arxiv.2411.01299","authors":["Hamel, Chas","Md Manjurul Ahsan","Shivakumar Raman","Ahsan, Md Manjurul","Raman, Shivakumar"],"tags":["Computer science","Artificial intelligence","Machine learning","Manufacturing engineering","Engineering","Computational Engineering, Finance, and Science (cs.CE)","FOS: Computer and information sciences"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.48550/arxiv.2411.01299","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"oa:W4313361102","name":"On the Notion of Digital Twins: A Modeling Perspective","source":"openalex","abstract":"A digital twin is a digital replica of a physical entity that can be remotely controlled, which allows for sophisticated control for a variety of reasons. Digital twins are made possible using various technologies such as Internet of Things, sensor technology, artificial intelligence, data science, and machine learning. With this, it represents a new stage in smart systems engineering. Developing digital twin-based systems necessitates a holistic system engineering approach in which modeling is critical. Various studies have been published on the notion of digital twins and its applications in various domains, but a modeling perspective has not been explicitly considered. Hence, this article provides a novel insight on the notion of digital twins from a modeling perspective, describing the evolution of modeling in engineering and likewise providing a rational basis for digital twins as a next logical step in modeling. A metamodel is provided that integrates the key concepts of systems engineering, digital twins, and modeling. While elaborating on the existing evolution of modeling in engineering, it is stated that the next step of digital twins will be artificial twins.","url":"https://doi.org/10.3390/systems11010015","authors":["Bedir Teki̇nerdoğan"],"tags":["Computer science","Metamodeling","Perspective (graphical)","Key (lock)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-30","doi":"https://doi.org/10.3390/systems11010015","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4403869814","name":"Digitalization of urban multi-energy systems – Advances in digital twin applications across life-cycle phases","source":"openalex","abstract":"• Urban multi-energy system's digital twins (UMES DTs) are emerging in the energy landscape. • UMES DTs should have a real-time data connection to the physical twin updated at desired intervals. • Adherence to standardized ontologies will facilitate interoperability & scalability. • UMES DT architecture balances interpretability & accuracy with open, semi-open, & closed models. • Planning UMES DTs should accompany and enhance the operation & decommissioning/reuse phase. Urban multi-energy systems (UMES) incorporating distributed energy resources are vital to future low-carbon energy systems. These systems demand complex solutions, including increased integration of renewables, improved efficiency through electrification, and exploitation of synergies via sector coupling across multiple sectors and infrastructures. Digitalization and the Internet of Things bring new opportunities for the design-build-operate workflow of the cyber-physical urban multi-energy systems. In this context, digital twins are expected to play a crucial role in managing the intricate integration of assets, systems, and actors within urban multi-energy systems. This review explores digital twin opportunities for urban multi-energy systems by first considering the challenges of urban multi energy systems. It then reviews recent advancements in digital twin architectures, energy system data categories, semantic ontologies, and data management solutions, addressing the growing data demands and modelling complexities. Digital twins provide an objective and comprehensive information base covering the entire design, operation, decommissioning, and reuse lifecycle phases, enhancing collaborative decision-making among stakeholders. This review also highlights that future research should focus on scaling digital twins to manage the complexities of urban environments. A key challenge remains in identifying standardized ontologies for seamless data exchange and interoperability between energy systems and sectors. As the technology matures, future research is required to explore the socio-economic and regulatory implications of digital twins, ensuring that the transition to smart energy systems is both technologically sound and socially equitable. The paper concludes by making a series of recommendations on how digital twins could be implemented for urban multi energy systems.","url":"https://doi.org/10.1016/j.adapen.2024.100196","authors":["Binod Prasad Koirala","Hanmin Cai","F. Khayatian","Edrisi Muñoz","JongGwan An","R. Mutschler","Matthias Sulzer","Charles Wolf","Kristina Orehounig"],"tags":["Computer science","Energy (signal processing)","Physics","Quantum mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-29","doi":"https://doi.org/10.1016/j.adapen.2024.100196","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W2996663948","name":"Collaborative Networks: A Pillar of Digital Transformation","source":"openalex","abstract":"The notion of digital transformation encompasses the adoption and integration of a variety of new information and communication technologies for the development of more efficient, flexible, agile, and sustainable solutions for industrial systems. Besides technology, this process also involves new organizational forms and leads to new business models. As such, this work addresses the contribution of collaborative networks to such a transformation. An analysis of the collaborative aspects required in the various dimensions of the 4th industrial revolution is conducted based on a literature survey and experiences gained from several research projects. A mapping between the identified collaboration needs and research results that can be adopted from the collaborative networks area is presented. Furthermore, several new research challenges are identified and briefly characterized.","url":"https://doi.org/10.3390/app9245431","authors":["Luís M. Camarinha-Matos","Rosanna Fornasiero","Javaneh Ramezani","Filipa Ferrada"],"tags":["Digital transformation","Variety (cybernetics)","Agile software development","Knowledge management","Pillar"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-11","doi":"https://doi.org/10.3390/app9245431","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W2981004717","name":"Fault injection in Digital Twin as a means to test the response to process faults at virtual commissioning","source":"openalex","abstract":"Digital Twin (DT) is one of the pillars of modern information technologies that plays an important role on industry digitalization. Its use varies very much with the domain but one of them, encouraged by integrated frameworks that cover the whole life cycle of manufacturing applications, is during Virtual Commissioning phase. This paper presents both a design and implementation methodology to easily test the control system reaction to process faults. In particular, the way to prepare the DT to support fault injection is analyzed. The proposal is tested through a simple but representative case study.","url":"https://doi.org/10.1109/etfa.2019.8869334","authors":["D. Orive","Nagore Iriondo","A. Burgos","Isabel Sarachaga","María Luz Álvarez","Marga Marcos"],"tags":["Project commissioning","Computer science","Fault (geology)","Process (computing)","Cover (algebra)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-09-01","doi":"https://doi.org/10.1109/etfa.2019.8869334","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4307162961","name":"An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications","source":"openalex","abstract":"Industry 4.0 requires a strong understanding of Cyber–Physical Systems (CPS). An Industry 4.0-enabled manufacturing environment that offers real-time data gathering, transparency and analysis across all parts of a manufacturing process is known as cyber–physical systems, also known as cyber manufacturing. Data analytics enables executives to make data-driven choices and boost productivity, while automation speeds up manufacturing and decreases machine downtime. The main objective of deploying Industry 4.0 solutions is to enable manufacturing organisations to increase collaboration by making the correct information accessible to the right people in real time. The aim of encouraging optimal decision-making at the appropriate moment is to improve efficiency and production further. The critical terms in Industry 4.0, such as the CPS, Internet of Things (IoT), and Digital Twin, are widely used interchangeably in conversations about smart manufacturing. These are essential to Industry 4.0 and smart manufacturing because they give users access to real-time operating data of the equipment they represent. Cyber components and physical components make up the two elements of CPS. The main aim of this paper is to brief CPS and its need for Industry 4.0. Embedded Processes and Smart 5C diagrammatically elaborate architecture of CPS for Industry 4.0. Finally, the paper identifies and discusses significant applications of CPS in Industry 4.0. For this paper, we identified and then studied relevant literature on CPS for establishing an Industry 4.0 environment. CPS is integrated into several items, including vehicles and other equipment, to carry out particular functions. CPS can be utilised in any industry, including engineering, manufacturing, transportation, and even health care, because they are all easy to use. CPS network collaborative systems are built for communication. Furthermore, cutting-edge network technologies like cloud solutions are used by CPS.","url":"https://doi.org/10.1016/j.grets.2022.100001","authors":["Mohd Javaid","Abid Haleem","Ravi Pratap Singh","Rajiv Suman"],"tags":["Cyber-physical system","Industry 4.0","Downtime","Automation","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-24","doi":"https://doi.org/10.1016/j.grets.2022.100001","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4391025112","name":"Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics","source":"openalex","abstract":"This research introduces a conceptual framework designed to enhance worker safety and well-being in industrial environments, such as oil and gas construction plants, by leveraging Human Digital Twin (HDT) cutting-edge technologies and advanced artificial intelligence (AI) techniques. At its core, this study is in the developmental phase, aiming to create an integrated system that could enable real-time monitoring and analysis of the physical, mental, and emotional states of workers. It provides valuable insights into the impact of Digital Twins (DT) technology and its role in Industry 5.0. With the development of a chatbot trained as an empathic evaluator that analyses emotions expressed in written conversations using natural language processing (NLP); video logs capable of extracting emotions through facial expressions and speech analysis; and personality tests, this research intends to obtain a deeper understanding of workers' psychological characteristics and stress levels. This innovative approach might enable the identification of stress, anxiety, or other emotional factors that may affect worker safety. Whilst this study does not encompass a case study or an application in a real-world setting, it lays the groundwork for the future implementation of these technologies. The insights derived from this research are intended to inform the development of practical applications aimed at creating safer work environments.","url":"https://doi.org/10.3390/s24020655","authors":["Saul Davila-Gonzalez","Sergio Martín"],"tags":["SAFER","Analytics","Identification (biology)","Situation awareness","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-19","doi":"https://doi.org/10.3390/s24020655","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3217422333","name":"4 Digital twins in smart manufacturing","source":"openalex","abstract":"The digital twin is a digital replica of physical data, processes, systems, and a digital simulation of reality, which can be used for various purposes. The concept of the digital twin provides an efficient way to cyber-physically integrate production, and optimize business processes and operational production procedures, thus achieving a new higher level of productivity. Digital twins can use data from sensors installed on physical objects to represent their status in real time, operating condition, or position. Two examples of digital twin development are presented, the first is based on static setting of a model and the second is based on dynamic setting.","url":"https://doi.org/10.1515/9783110693225-004","authors":["Bojan Babić"],"tags":["Replica","Computer science","Production (economics)","Productivity","Position (finance)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-22","doi":"https://doi.org/10.1515/9783110693225-004","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4324059113","name":"Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins","source":"openalex","abstract":"Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designing and treating the activities, layout, and functions for the new generation of buildings to enhance user experience and optimize building performance. These models use data about a building’s use, configuration, functions, and environment to simulate different design options and predict their effects on house function efficiency, comfort, and safety. On the one hand, AI algorithms are used to analyze this data and find patterns and trends that can guide the design process. On the other hand, DTs are digital recreations of actual structures that can replicate building performance in real time. These models would evaluate alternative design options, the performance of the building, and ways to improve user comfort and building efficiency. This study examined the important role of intelligent building design aspects, such as activities using multi-layout and the creation of particular functions based on AI simulation models, in developing DT-based smart building systems. The empirical data came from a study of architecture and engineering firms throughout the globe using a CSAQ (computer-administered, self-completed survey). For this purpose, the study employed structural equation modeling (SEM) to examine the hypotheses and build the relationship model. The research verifies the relevance of AI-based simulation models supporting the creation of intelligent building design features (activities, layout, functionalities), enabling the construction of DT-based smart building systems. Furthermore, this study highlights the need for further exploration of AI-based simulation models’ role and integration with DT in smart building design.","url":"https://doi.org/10.3390/su15064955","authors":["Amjad Almusaed","İbrahim Yitmen"],"tags":["Process (computing)","Building design","Computer science","Building automation","Relevance (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-10","doi":"https://doi.org/10.3390/su15064955","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4392306280","name":"Digital Twins as a Catalyst for Sustainability and Resilience in Manufacturing Systems: A Review from the Supply Chain Perspective","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-99-8159-5_23","authors":["Yujia Luo","Peter Ball"],"tags":["Embeddedness","Supply chain","Perspective (graphical)","Transformative learning","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-981-99-8159-5_23","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2803467204","name":"AN APPROACH FOR THE IMPLEMENTATION OF THE DIGITAL TWIN IN THE AUTOMOTIVE WIRING HARNESS FIELD","source":"openalex","abstract":"The importance of continuous and sustainable information exchange processes rises, due to the growing digitalisation in many fields of automotive area. By implementing the Digital Twin method, these challenges can be met in the future. In this paper, the Digital Twin method is discussed in the context of the automotive wiring harness. Different kinds of individual definitions of the Digital Twin are discussed and the methodical meaning is analysed. Furthermore the wiring harness specific requirements for the Digital Twin, caused by the enormous variety, is considered.","url":"https://doi.org/10.21278/idc.2018.0188","authors":["Rajeeth Tharma","Roland Winter","Martin Eigner"],"tags":["Automotive industry","Context (archaeology)","Variety (cybernetics)","Field (mathematics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.21278/idc.2018.0188","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4377294625","name":"Digital Twin for Safety and Security: Perspectives on Building Lifecycle","source":"openalex","abstract":"As digital twins are gaining importance in various industries, research on their impact, use cases, and implementation in the field of construction is accelerating. In this study, we examine the impact of digital twins on building safety and security throughout their lifecycle, utilizing two state-of-the-art use cases for fire and anomaly detection. The solution employs advanced sensors, 3D visualizations for detecting safety and security threats, and data analysis to predict potential future threats. Using the data that was collected over a seventeen-month period, we present an implementation architecture for safety and security digital twins in buildings, explore the benefits and shortcomings of such a system, and discuss the learnings applicable to different lifecycle stages of a building. This paper contributes to the creation and study of a digital twin for fire safety, analyzing its performance using two real-world use cases and reporting the implementation results. Additionally, we extrapolate the learnings from the use phase of a facility to other lifecycle phases of buildings and facilities.","url":"https://doi.org/10.1109/access.2023.3278267","authors":["Siavash H. Khajavi","Müge Tetik","Zixuan Liu","Pasi Korhonen","Jan Holmström"],"tags":["Computer science","System lifecycle","Architecture","Field (mathematics)","Anomaly detection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3278267","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W2914072701","name":"Digital manufacturing: requirements and challenges for implementing digital surrogates","source":"openalex","abstract":"A key challenge for manufacturers today is efficiently producing and delivering products on time. Issues include demand for customized products, changes in orders, and equipment status change, complicating the decision-making process. A real-time representation of the manufacturing operation would help address these challenges. Recent technology advancements of smart sensors, IoT, and cloud computing make it possible to realize a digital twin of a manufacturing system or process. Digital twins or surrogates are data-driven virtual representations that replicate, connect, and synchronize the operation of a manufacturing system or process. They utilize dynamically collected data to track system behaviors, analyze performance, and help make decisions without interrupting production. In this paper, we define surrogate, explore their relationships to simulation, thread, artificial intelligence, and IoT. We identify the technology and standard requirements and challenges for implementing surrogates. A production planning case is used to exemplify the surrogate concept.","url":"https://doi.org/10.5555/3320516.3320670","authors":["Guodong Shao","Deogratias Kibira"],"tags":["Computer science","Cloud computing","Process (computing)","Smart manufacturing","Thread (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-12-09","doi":"https://doi.org/10.5555/3320516.3320670","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3022494916","name":"A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0","source":"openalex","abstract":"Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange. It is no longer a future trend and is being employed worldwide by manufacturing organizations, to gain benefits of improved performance, reduced inefficiencies, and lower costs, while improving flexibility. However, the implementation of Industry 4.0 enabling technologies is a difficult task and becomes even more challenging without any standardized approach. The barriers include, but are not limited to, lack of knowledge, inability to realistically quantify the return on investment, and lack of a skilled workforce. This study presents a systematic and content-centric literature review of Industry 4.0 enabling technologies, to highlight their impact on the manufacturing industry. It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches. The basis of the roadmap is the design for six sigma approach for the development of a new process chain, followed by a continuous improvement plan. The reason for choosing lean six sigma is to provide manufacturers with a sense of familiarity, as they have been employing these principles for removing waste and reducing variability. Major reasons for the rejection of Industry 4.0 implementation methodologies by manufactures are fear of the unknown and resistance to change, whereas the use of lean six sigma can mitigate them. The strategic roadmap presented in this paper can offer a holistic view of phases that manufacturers should undertake and the challenges they might face in their journey toward Industry 4.0 transition.","url":"https://doi.org/10.3390/designs4020011","authors":["J.B. Butt"],"tags":["Flexibility (engineering)","Six Sigma","Technology roadmap","Industry 4.0","Lean manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-10","doi":"https://doi.org/10.3390/designs4020011","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4313352576","name":"Digital Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-19-7071-9_4","authors":["Amandeep Singh","Janakarajan Ramkumar","B. Vipin"],"tags":["Industrial Revolution","Enhanced Data Rates for GSM Evolution","Manufacturing engineering","Internet of Things","Industrial Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-981-19-7071-9_4","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4403390730","name":"Digital twin in manufacturing: Transient Thermo-Mechanical Simulations","source":"openalex","abstract":"The Digital Twin (DT) has received a lot of research attention and discussion in recent years. It contributes significantly to the industry's transition from the conventional era of trial and error to the contemporary industrial mode. Simulation and computer-aided engineering (CAE) are important components of the DT concept. Manufacturing DT is a virtual representation of the actual processes that may be planned for and enhanced. Additionally, DT offers an infinite number of measurement points and variables without using large, expensive sensors during the actual process.Surface mount technology (SMT) components are frequently attached to printed circuit boards (PCB) using reflow soldering. Employing DT in manufacturing, will end up in reduction in production time and cost, and CO2emissions from the production line.In this article, a Digital Twin based multiphysics model is used, powered by the Ansys simulation environment, to conduct a comprehensive virtual analysis of the reflow process from both thermo-fluid dynamic and structural perspectives. Thermo-fluid dynamic results are coupled to a structural analysis tool to simulate the stresses and possible deformations during the reflow process. Thermo-fluid dynamic and structural simulation results were compared against the experimental test results done in the Nokia Factory in Oulu, Finland.","url":"https://doi.org/10.1109/itherm55375.2024.10709618","authors":["Alireza Ameli","Markus Mäkeläinen","Jari Huttunen","Davide Frigerio","Andreas Rydin","Kelvin Qin"],"tags":["Transient (computer programming)","Transient analysis","Computer science","Materials science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-28","doi":"https://doi.org/10.1109/itherm55375.2024.10709618","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3138574228","name":"Edge-based Digital Twin to trace and ensure sustainability in cross-company production networks","source":"openalex","abstract":"Manufacturing companies aim at ensuring ecological sustainability within their value-adding processes and sustainability indicators like CO2 emissions associated to a product are becoming important selling points for customers. In consequence, manufacturers investigate and measure their manufacturing processes in order to be able to provide respective numbers, which is however hampered if products are the result of cross-company production networks: Firstly, suppliers have a high understanding of their own processes which is required for an evaluation of the respective sustainability, but are often hesitant to publish this data. In addition, digital models that allow to quantify sustainability indicators require significant data exchanges. The goal of this paper is to describe a concept for an edge-based Digital Twin for the assessment of ecological sustainability in cross-company production networks. By directly computing sustainability indicators at the place of their origin, only a minimum amount of data is being transmitted. This enables to trace the sustainability of a manufactured product while not requiring suppliers to publish sensitive data or domain knowledge.","url":"https://doi.org/10.1016/j.procir.2021.01.103","authors":["Moritz Glatt","Patrick Kölsch","Carina Siedler","Pascal Langlotz","Svenja Ehmsen","Jan C. Aurich"],"tags":["Sustainability","Product (mathematics)","Production (economics)","Publication","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.01.103","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4294843302","name":"Wire and arc additive manufacturing of 316L stainless steel/Inconel 625 functionally graded material: development and characterization","source":"openalex","abstract":"In this work, a 316L stainless steel to Inconel 625 functionally graded material (FGM) was built using different deposition strategies (named as direct and smooth-type interfaces) by Twin-Wire and Arc Additive Manufacturing (T-WAAM). This combination of materials is of interest in chemical plants, oil & gas, and nuclear applications, where high corrosion and wear resistance are essential requirements. Although these properties are superior in Inconel 625, replacing Inconel with stainless steel in strategic regions of structural components can reduce the overall costs and parts’ weight. Both direct and smooth transition interfaces were tested and characterized. Microscopic analysis revealed that each interface and the as-built samples had an austenitic matrix, and every sample was well bonded and free of defects. Different types of microstructures evolved at the interfaces due to distinct gradients in composition. Synchrotron X-ray diffraction measurements showed that the smooth-gradient produced secondary phases, such as δ-phase (Ni3Nb) and carbides, that were not present with the direct interface strategy. Overall, the properties were superior in the FGM with a direct interface, which experienced higher strengths and elongations upon failure. Moreover, neutron diffraction measurements revealed that lower residual stresses developed in the direct interface FGM than in the smooth gradient FGM.","url":"https://doi.org/10.1016/j.jmrt.2022.08.169","authors":["Tiago A. Rodrigues","Francisco Werley Cipriano Farias","Kaiping Zhang","A. Shamsolhodaei","Jiajia Shen","Y. Zhou","Norbert Schell","Jan Čapek","E. Polatidis","Telmo G. Santos","J.P. Oliveira"],"tags":["Materials science","Inconel 625","Metallurgy","Characterization (materials science)","Inconel"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-06","doi":"https://doi.org/10.1016/j.jmrt.2022.08.169","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3183211010","name":"Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.07.017","authors":["Shufei Li","Ruobing Wang","Pai Zheng","Lihui Wang"],"tags":["Knowledge management","Robot","Teamwork","Human–computer interaction","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-01","doi":"https://doi.org/10.1016/j.jmsy.2021.07.017","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4311941226","name":"A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2022.11.015","authors":["Chao Zhang","Guanghui Zhou","Jinɡjinɡ Li","Fengtian Chang","Kai Ding","Dongxu Ma"],"tags":["Computer science","Swarm behaviour","Knowledge sharing","Cloud computing","Machine tool"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-06","doi":"https://doi.org/10.1016/j.jmsy.2022.11.015","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4316369089","name":"The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review","source":"openalex","abstract":"This article presents the results regarding a systematic literature review procedure on digital twins applied to precision agriculture. In particular, research and development activities aimed at the use of digital twins, in the context of predictive control, with the purpose of improving soil quality. This study was carried out through an exhaustive search of scientific literature on five different databases. A total of 158 articles were extracted as a result of this search. After a first screening process, only 11 articles were considered to be aligned with the current topic. Subsequently, these articles were categorised to extract all relevant information, using the preferred reporting items for systematic reviews and meta-analyses methods. Based on the obtained results, there are two main conclusions to draw: First, when compared with industrial processes, there is only a very slight rising trend regarding the use of digital twins in agriculture. Second, within the time frame in which this work was carried out, it was not possible to find any published paper on the use of digital twins for soil quality improvement within a model predictive control context.","url":"https://doi.org/10.3390/s23021007","authors":["Letícia Silva","Francisco J. Rodríguez‐Sedano","Paula Baptista","João Paulo Coelho"],"tags":["Context (archaeology)","Systematic review","Quality (philosophy)","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-15","doi":"https://doi.org/10.3390/s23021007","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4391748419","name":"Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union","source":"openalex","abstract":"In the European Digital Decade 2030 Policy Program, the following guidelines for European digital transformation are named, which means that more than 90% of small- and medium-sized companies reach at least a basic level of digital intensity. In addition to that, the European Commission pays a lot of attention to implementing the “Green Deal” in order to achieve less environmental impact. ICT SMEs already play a key role in Europe’s green and digital transformation, creating technologies that promote sustainability and strengthen Europe’s position. The limited and fragmented application of today’s digital and sustainable technologies in SMEs is observed at the EU level. The bibliometric literature analytical results show that the number of papers on the digital direction is five times higher than on the sustainable direction topic. The paper seeks to identify directions that could help SMEs to speed up this twin transformation in each EU country. The authors proposed a two-stage methodology, which is used for researching twin transformations in SMEs. According to the methodology, first, the authors analysed the indicators of EU-27 SMEs, representing their activity towards the twin transformation, comparing them among other size classes. The results show that the SME’s numbers in the 16 indicators area are worse than the numbers characterizing EU-27 enterprises, having more than ten employees. In addition, a multi-criteria decision making-based assessment framework was constructed to show the progress towards the twin transition. The provided research shows which areas require more attention from SMEs and policy makers responding to the twin transformation objectives.","url":"https://doi.org/10.3390/su16041533","authors":["Aurelija Burinskienė","Jolanta Nalivaikė"],"tags":["European union","Sustainability","Digital transformation","European commission","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-11","doi":"https://doi.org/10.3390/su16041533","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4399433494","name":"Future of plasma etching for microelectronics: Challenges and opportunities","source":"openalex","abstract":"Plasma etching is an essential semiconductor manufacturing technology required to enable the current microelectronics industry. Along with lithographic patterning, thin-film formation methods, and others, plasma etching has dynamically evolved to meet the exponentially growing demands of the microelectronics industry that enables modern society. At this time, plasma etching faces a period of unprecedented changes owing to numerous factors, including aggressive transition to three-dimensional (3D) device architectures, process precision approaching atomic-scale critical dimensions, introduction of new materials, fundamental silicon device limits, and parallel evolution of post-CMOS approaches. The vast growth of the microelectronics industry has emphasized its role in addressing major societal challenges, including questions on the sustainability of the associated energy use, semiconductor manufacturing related emissions of greenhouse gases, and others. The goal of this article is to help both define the challenges for plasma etching and point out effective plasma etching technology options that may play essential roles in defining microelectronics manufacturing in the future. The challenges are accompanied by significant new opportunities, including integrating experiments with various computational approaches such as machine learning/artificial intelligence and progress in computational approaches, including the realization of digital twins of physical etch chambers through hybrid/coupled models. These prospects can enable innovative solutions to problems that were not available during the past 50 years of plasma etch development in the microelectronics industry. To elaborate on these perspectives, the present article brings together the views of various experts on the different topics that will shape plasma etching for microelectronics manufacturing of the future.","url":"https://doi.org/10.1116/6.0003579","authors":["G. S. Oehrlein","Stephan M. Brandstadter","Robert L. Bruce","Jane P. Chang","Jessica C. DeMott","Vincent M. Donnelly","Rémi Dussart","Andreas Fischer","Richard A. Gottscho","Satoshi Hamaguchi","M. Honda","Masaru Hori","Kenji Ishikawa","S. Jaloviar","Keren J. Kanarik","Kazuhiro Karahashi","Akiteru Ko","H. Kothari","Nobuyuki Kuboi","Mark J. Kushner","Thorsten Lill","Pingshan Luan","Ali Mesbah","Eric R. Miller","Shoubhanik Nath","Yoshinobu Ohya","Mitsuhiro Omura","Chan-Hoon Park","John Poulose","Shahid Rauf","Makoto Sekine","Taylor G. Smith","Nathan Stafford","T. Standaert","Peter L. G. Ventzek"],"tags":["Microelectronics","Etching (microfabrication)","Plasma etching","Nanotechnology","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-07","doi":"https://doi.org/10.1116/6.0003579","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3014231147","name":"Digital manufacturing of functional materials for wearable electronics","source":"openalex","abstract":"A review of the recent developments of digital manufacturing methods of functional materials for wearable electronics applications.","url":"https://doi.org/10.1039/d0tc01112f","authors":["Jing Lin","Zhaoran Zhu","Chi Fai Cheung","Feng Yan","Guijun Li"],"tags":["Electronics","Wearable technology","Wearable computer","Materials science","Nanotechnology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1039/d0tc01112f","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4285136748","name":"Digital Twin Modeling in Virtual Enterprises and Autonomous Manufacturing Systems: Deep Learning and Neural Network Algorithms, Immersive Visualization Tools, and Cognitive Data Fusion Techniques","source":"openalex","abstract":"","url":"https://doi.org/10.22381/emfm17220223","authors":[],"tags":["Visualization","Computer science","Artificial neural network","Deep learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.22381/emfm17220223","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3045962627","name":"The Digital Transformation of Search and Recombination in the Innovation Function: Tensions and an Integrative Framework*","source":"openalex","abstract":"Search and recombination are important mechanisms in the creativity phase of innovation. Digital transformation and the resulting pervasive digitalization of the innovation function have often been associated with increasing possibilities for search and recombination. In this paper, by systematically integrating the search and recombination literature with the literature on digitalization, we demonstrate that digitalization may engender new idiosyncratic tensions in the organizational antecedents of search and recombination and, by implication, in their likely outcomes. We propose that, depending on the interactions among the idiosyncratic tensions identified herein, knowledge recombination might spur very different outcomes, including knowledge layering, knowledge integration, knowledge grafting, or even no recombination at all (which we label “search for the sake of search”). These outcomes may not always be the initially planned desired outcomes. Finally, we provide implications of our integrative framework pertaining to product development and to organizing for innovation.","url":"https://doi.org/10.1111/jpim.12546","authors":["Gianvito Lanzolla","Danilo Pesce","Christopher L. Tucci"],"tags":["Recombination","Function (biology)","Knowledge management","Creativity","Transformation (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-29","doi":"https://doi.org/10.1111/jpim.12546","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3028469943","name":"An architecture for the digital twin of a manufacturing cell","source":"openalex","abstract":"","url":"https://openalex.org/W3028469943","authors":["A. J. H. Redelinghuys"],"tags":["Architecture","Computer architecture","Manufacturing engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-01","doi":"","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3159653134","name":"Implementation specifics and application potential of digital twins of technological systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-021-07141-z","authors":["М. Б. Бровкова","В. В. Молодцов","Victor Bushuev"],"tags":["Multiphysics","Field (mathematics)","Computer science","Systems engineering","Object (grammar)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-27","doi":"https://doi.org/10.1007/s00170-021-07141-z","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4405387852","name":"Model-Based Engineering of Multi-Purpose Digital Twins in Manufacturing","source":"openalex","abstract":"The engineering of digital twins for manufacturing can benefit greatly from automated or semi-automated methods, as opposed to the current manual software development methods limited to specific use cases. The manufacturing domain already holds a large amount of data and models that can be used in these engineering processes and during runtime of digital twins. Within this chapter, we show how to apply model-driven engineering methods to the development of digital twins. Specifically, we present the necessary architectural components required for the development of reusable digital twins supporting multiple purposes, as well as the data-to-model and model-to-model transformation methods that can be applied for digital twin engineering. In addition, we discuss the architecture and the runtime use of models in the digital twin, using relevant use cases from the manufacturing domain to illustrate our approach. Overall, we show that model-driven engineering approaches are transferable to engineering digital twins for manufacturing with all its advantages, such as mastering complexity and properly involving domain experts.","url":"https://doi.org/10.1007/978-3-031-67778-6_5","authors":["Malte Heithoff","Nico Jansen","Judith Michael","Florian Rademacher","Bernhard Rumpe⋆"],"tags":["Manufacturing engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-67778-6_5","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4391480459","name":"Virtual agri-food supply chains: A holistic digital twin for sustainable food ecosystem design, control and transparency","source":"openalex","abstract":"The transition of Agri-Food Supply Chains (AFSC) toward sustainable patterns able to secure safe, quality, and affordable food whilst preserving natural and anthropogenic ecosystems is a key challenge of this century. Increasing production and distribution operations' transparency and impact visibility uncovers hidden complexities and the food ecosystem's externalities. To this attempt, this paper introduces a novel Agri-Food Supply Chain digital twin (AFSC-DT) able to virtualize the agricultural, processing, warehousing, and distribution operations holistically from-field-to-consumer and estimate economic, logistic, environmental, safety, and nutritional indicators associated with any food order, assumed as the functional unit. The AFSC-DT behaves as a control tower, providing a multi-dimensional dashboard of indicators and labels to enhance practitioners' and consumers' knowledge of FSC entities and operations. The practitioner's visibility drives top-down operational and tactical feedback controls through real-time monitoring and a-posteriori multi-dimensional performance analysis, whilst consumers, with their informed choices, perform a strategic bottom-up pressure on the food industry toward a sustainable redesign. A what-if simulation analysis conducted over four virtual scenarios within a regional horticultural AFSC proves how the AFSC-DT aids informed decision-making across the AFSC echelons, stimulating a virtuous cycle and favoring a progressive transition toward more sustainable patterns.","url":"https://doi.org/10.1016/j.spc.2024.01.016","authors":["Beatrice Guidani","Michele Ronzoni","Riccardo Accorsi"],"tags":["Supply chain","Sustainability","Transparency (behavior)","Environmental economics","Sustainable agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-02","doi":"https://doi.org/10.1016/j.spc.2024.01.016","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4297157087","name":"The development of digital thread: the relations to digital twin and its industrial applications","source":"openalex","abstract":"Purpose Through this research study, the authors found that digital thread has made significant progress in the life cycle management of the US Air Force. The authors hope that by reviewing similar studies in the aerospace field, the meaning of digital thread can be summarized and applied to a wider range of fields. In addition, theoretically, the definition of digital twin and digital thread are not unified. The authors hope that the comparison of digital thread and digital twin will better enable scholars to distinguish between the two concepts. Besides, the authors are also looking forward that more people will realize the significance of digital thread and carry out future research. Design/methodology/approach Complete research about digital thread and the relevant concept of the digital twin is conducted. First, by searching in Google Scholar with the keyword “digital thread”, the authors filter results and save literature with high relevance to digital thread. The authors also track these papers’ references for more paper of digital thread and digital twin. After removing the duplicate and low-relevance literature, 72 digital thread-related literature studies are saved and further analyzed from the perspective of time development, application field and research directions. Findings Digital thread application in industries other than the aviation manufacturing industry is still relatively few, and the research on the application of digital thread in real industrial scenarios is mainly at the stage of framework design and design-side decision optimization. In addition, the digital thread needs a new management mechanism and organizational structure to realize landing. The new management mechanism and the process can adapt to the whole life cycle management process based on the digital thread, manage the data security and data update, and promote the digital thread to play a better effect on the organizational management. Practical implications Based on a review of digital thread, future research directions and usage suggestions are given. The fault diagnosis of high-speed train bogie as an example shows the effectiveness of the method and also partially demonstrates the advantages and effects brought by the digital thread connecting the data models at various stages. Originality/value This paper first investigates and analyzes the theoretical connotation and research progress of digital thread and gives a complete definition of digital thread from the perspective of the combination of digital thread and digital twins. Next, the research process of digital thread is reviewed, and the application fields, research directions and achievements in recent years are summarized. Finally, taking the fault diagnosis of high-speed train bogie as an example partially demonstrates the advantages and effects brought by the digital thread connecting the data models at various stages.","url":"https://doi.org/10.1108/dts-06-2022-0023","authors":["Yuxin Zhang","Wei Dong","Junyan Wang","Congcong Che","Lefei Li"],"tags":["Thread (computing)","Computer science","Digital transformation","Data science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-26","doi":"https://doi.org/10.1108/dts-06-2022-0023","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3185117487","name":"Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility","source":"openalex","abstract":"Abstract This article discusses the technology of city digital twins (CDTs) and its potential applications in the policymaking context. The article analyzes the history of the development of the concept of digital twins and how it is now being adopted on a city-scale. One of the most advanced projects in the field—Virtual Singapore—is discussed in detail to determine the scope of its potential domains of application and highlight challenges associated with it. Concerns related to data privacy, availability, and its applicability for predictive simulations are analyzed, and potential usage of synthetic data is proposed as a way to address these challenges. The authors argue that despite the abundance of urban data, the historical data are not always applicable for predictions about the events for which there does not exist any data, as well as discuss the potential privacy challenges of the usage of micro-level individual mobility data in CDTs. A task-based approach to urban mobility data generation is proposed in the last section of the article. This approach suggests that city authorities can establish services responsible for asking people to conduct certain activities in an urban environment in order to create data for possible policy interventions for which there does not exist useful historical data. This approach can help in addressing the challenges associated with the availability of data without raising privacy concerns, as the data generated through this approach will not represent any real individual in society.","url":"https://doi.org/10.1017/dap.2021.17","authors":["Gleb Papyshev","Masaru Yarime"],"tags":["Computer science","Data science","Scope (computer science)","Context (archaeology)","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1017/dap.2021.17","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4393279079","name":"Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach","source":"openalex","abstract":"Diabetes management requires constant monitoring and individualized adjustments. This study proposes a novel approach that leverages digital twins and personal health knowledge graphs (PHKGs) to revolutionize diabetes care. Our key contribution lies in developing a real-time, patient-centric digital twin framework built on PHKGs. This framework integrates data from diverse sources, adhering to HL7 standards and enabling seamless information access and exchange while ensuring high levels of accuracy in data representation and health insights. PHKGs offer a flexible and efficient format that supports various applications. As new knowledge about the patient becomes available, the PHKG can be easily extended to incorporate it, enhancing the precision and accuracy of the care provided. This dynamic approach fosters continuous improvement and facilitates the development of new applications. As a proof of concept, we have demonstrated the versatility of our digital twins by applying it to different use cases in diabetes management. These include predicting glucose levels, optimizing insulin dosage, providing personalized lifestyle recommendations, and visualizing health data. By enabling real-time, patient-specific care, this research paves the way for more precise and personalized healthcare interventions, potentially improving long-term diabetes management outcomes.","url":"https://doi.org/10.3390/jpm14040359","authors":["Fatemeh Sarani Rad","Rasha Hendawi","Xinyi Yang","Juan Li"],"tags":["Computer science","Diabetes management","Digital health","Data science","Data management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-28","doi":"https://doi.org/10.3390/jpm14040359","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4386316965","name":"The digital twin synchronization problem: Framework, formulations, and analysis","source":"openalex","abstract":"As the adoption of digital twins increases steadily, it is necessary to determine how to operate them most effectively and efficiently. In this article, the digital twin synchronization problem is introduced and defined formally. Frequent synchronizations would increase cost and data traffic congestion, whereas infrequent synchronizations would increase the bias of the predictions and yield wrong decisions. This work defines the synchronization problem variants in different contexts. To discuss the problem and its solution, the problem of determining when to synchronize an unreliable production system with its digital twin to minimize the average synchronization and bias costs is formulated and analyzed analytically. The state-independent, state-dependent, and full-information solutions have been determined by using a stochastic model of the system. Solving the synchronization problem using simulation is discussed, and an approximate policy is proposed. Our results show that the performance of the state-dependent policy is close to the optimal solution that can be obtained with full information and significantly better than the performance of the state-independent policy. Furthermore, the approximate periodic state-dependent policy yields near-optimal results. To operate digital twins more effectively, the digital twin synchronization problem must be considered and solved to determine the optimal synchronization policy.","url":"https://doi.org/10.1080/24725854.2023.2253869","authors":["Barış Tan","Andréa Matta"],"tags":["Synchronization (alternating current)","Computer science","State (computer science)","Mathematical optimization","Algorithm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-31","doi":"https://doi.org/10.1080/24725854.2023.2253869","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3216483046","name":"An approach for leveraging Digital Twins in agent-based production systems","source":"openalex","abstract":"Abstract To cope with individualization and the high costs of downtimes, modern production systems should be flexible, adaptable, and resilient. Multi-Agent Systems are suitable to address these requirements by decentralizing production systems. However, the agent paradigm is still not widely applied. One of the key reasons is that the agents’ knowledge bases had to be created manually, which is cumbersome, error-prone, and insufficiently standardized. Digital Twins have the potential to solve this issue, as they describe relevant information in a standardized way. This paper presents an approach to leveraging Digital Twins, i. e., the Asset Administration Shell, to realize Multi-Agent Systems in the production context. For this, a parser automatically extracts relevant information from the Digital Twins and initializes the individual agents in a Multi-Agent System, i. e., PADE.","url":"https://doi.org/10.1515/auto-2021-0081","authors":["Birgit Vogel‐Heuser","Felix Ocker","Tobias Scheuer"],"tags":["Computer science","Key (lock)","Context (archaeology)","Production (economics)","Asset (computer security)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-27","doi":"https://doi.org/10.1515/auto-2021-0081","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4403145082","name":"Digital twin-based multi-granularity synchronisation for production-warehousing under batch processing mode","source":"openalex","abstract":"Batch production is a cost-effective way that boosts efficiency in manufacturing systems. As customer demands become increasingly customised, there is a growing need to consolidate numerous small-batch orders. However, if batch production exceeds the optimal level, it may lead to the premature completion of customer orders, causing temporary congestion in the finished goods warehouse and prolonged resource occupation. Consequently, an essential focus of this study pertains to coordinating decision-making units like workshops and warehouses within batch production setups to ensure stable system operation amidst dynamic customer demands. The proposed solution encompasses a Digital Twin-based Multi-level Synchronised Control System (DTMCS) framework, featuring the Multi-granularity Synchronised Control Mechanism (MgSCM) and a collaborative optimisation model for batch production and warehouse planning. By examining a practical case study from a paint manufacturing company, the research delves into the effects of four synchronised control patterns on various system performance metrics, such as operating costs, equipment and warehouse utilisation rates, and system stability. Overall, this study provides an adaptable and cost-effective solution for enhancing production-logistics synchronisation.","url":"https://doi.org/10.1080/00207543.2024.2408671","authors":["Yongheng Zhang","Ting Qu","Mingxing Li","Zhongfei Zhang","Kai Zhang","Zhicong Hong","George Q. Huang","Zefeng Chen"],"tags":["Granularity","Production (economics)","Mode (computer interface)","Computer science","Warehouse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-03","doi":"https://doi.org/10.1080/00207543.2024.2408671","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3170779789","name":"Integration of model based system engineering into the digital twin concept","source":"openalex","abstract":"For some years now, digitalization has made its way into all phases of the product life cycle. With the help of the modeling language SysML, Model-Based Systems Engineering (MBSE) represents a modern approach in product development. At the same time, the technologies of Industrie 4.0 and digital twin are opening up a new level of efficiency to producing companies. But entertainment technology is also finding its way into business: Virtual Reality (VR) provides an immersive and cost-effective way to perceive products in the early stages of product development. In order to provide these with quickly available data for display and simulation, it is worthwhile to expand the MBSE approach. This work describes how a product model can be extended by a simulative function structure. On the one hand, this work describes how the Cameo System Modeler can be used to extend a product model with a simulative functional structure. On the other hand, it explains how to extend an existing product model by modeling the information required to efficiently and consistently translate an Engineering Bill of Materials (EBOM) into a Manufacturing Bill of Materials (MBOM).","url":"https://doi.org/10.1016/j.procir.2021.05.003","authors":["Yübo Wang","Tanja Steinbach","Jonathan H. Klein","Reiner Anderl"],"tags":["Systems Modeling Language","Product engineering","Systems engineering","Computer science","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.05.003","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4311230379","name":"Data-driven invariant modelling patterns for digital twin design","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jii.2022.100424","authors":["Concetta Semeraro","Mario Lezoche","Hervé Panetto","Michele Dassisti"],"tags":["Computer science","Virtual reality","Set (abstract data type)","Context (archaeology)","Invariant (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-13","doi":"https://doi.org/10.1016/j.jii.2022.100424","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4404168577","name":"Simulation-based Digital Twin for enhancing human-robot collaboration in assembly systems","source":"openalex","abstract":"The advent of new technologies and paradigms such as the Internet of Things (IoTs), Digital Twin (DT), Human-Robot Collaboration (HRC), is offering immense opportunities to improve the performance of manufacturing systems, but also opening new challenges. The current scientific literature highlights the presence of numerous theoretical studies, but limited real-life applications, and the need to address interoperability issues, with the aim of valorizing the data continuously generated by humans, robots, machines. This research presents a novel simulation-based DT, designed for supporting HRC optimization in assembly systems. The proposed approach is tested and validated, through a case study in the automotive sector, specifically focusing on an assembly line for car front doors. The results show that it is possible to achieve HRC improvements through the assessment of different working configurations. Furthermore, it is explained how the simulation-based DT, by leveraging the FIWARE/FIROS paradigm, can effectively and efficiently interact with other systems, to enable real-time data exchange, which is nowadays one of the main open research challenges. • Assembly systems with Human-Robot Collaboration (HRC) and simulation based digital twin. • Simulation based digital twin supporting what-if analysis for HRC improvements. • Semantic and syntactic interoperability to enable real-time data exchange. • FIWARE/FIROS standards for interoperable communication between the real and digital world. • Real-life application belonging to an assembly line within the automotive sector.","url":"https://doi.org/10.1016/j.jmsy.2024.10.024","authors":["Antonio Cimino","Francesco Longo","Letizia Nicoletti","Vittorio Solina"],"tags":["Robot","Computer science","Human–robot interaction","Human–computer interaction","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-09","doi":"https://doi.org/10.1016/j.jmsy.2024.10.024","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4408767222","name":"Review of Digital Twin in the Automotive Industry on Products, Processes and Systems","source":"openalex","abstract":"Review Review of Digital Twin in the Automotive Industry on Products, Processes and Systems Heli Liu 1,2, Benjamin Zhang 1, Vincent Wu 1,2, Xiao Yang 1,2, and Liliang Wang 1,2,* 1 Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK 2 Smart Forming Research Base, Imperial College London, London SW7 2AZ, UK * Correspondence: liliang.wang@imperial.ac.uk Received: 17 February 2025; Revised: 10 March 2025; Accepted: 20 March 2025; Published: 24 March 2025 Abstract: In the era of digital manufacturing, digital technologies are rapidly revolutionising the automotive industry. Among these, the digital twin, an enabling industry 4.0 digital technology first introduced two decades ago, is characterised by the seamless integration of physical and cyber realms. The digital twin is undergoing extensive investigations within the automotive sector, covering various perspectives including design, manufacturing, and application. By leveraging the big manufacturing data captured by spatially distributed sensing networks, the digital twin shows the capacity to create high-fidelity models of actual manufacturing practices, thereby significantly improving the precision and efficiency of production processes. Integrated with other digital technologies such as big data analytics (BDA) and the Internet of Things (IoT), the digital twin mirrors components in the physical world into the virtual environment and facilitates the exchange of real-time information to achieve fully converged cyber-physical spaces. This in turn minimises costs and improves the overall product quality, flexibility of manufacturing processes, and system integration. This work reviewed recent advancements in digital twin applications in the automotive industry focusing on automotive products, manufacturing processes, and manufacturing systems. Insights were provided into the future of digitally enhanced technologies in automotive manufacturing towards digital manufacturing and developing digital product passports (DPPs) for circular economy (CE).","url":"https://doi.org/10.53941/ijamm.2025.100006","authors":["Heli Liu","Binyuan Zhang","Vincent Wu","Xiao Yang","Liliang Wang"],"tags":["Automotive industry","Manufacturing engineering","Business","Engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-24","doi":"https://doi.org/10.53941/ijamm.2025.100006","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4387880041","name":"Digital Twins of Hybrid Additive and Subtractive Manufacturing Systems–A Review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-99-6094-1_18","authors":["Rajat Jain","Nikhil Bharat","P. S. C. Bose"],"tags":["Subtractive color","Process (computing)","Computer science","Manufacturing engineering","Variety (cybernetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-23","doi":"https://doi.org/10.1007/978-981-99-6094-1_18","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4323846877","name":"Analysis and Visualization of Production Bottlenecks as Part of a Digital Twin in Industrial IoT","source":"openalex","abstract":"In the area of industrial Internet of Things (IIoT), digital twins (DTs) are a powerful means for process improvement. In this paper the concept of a DT is explained and analysis possibilities throughout the life-cycle of a product and its production system are explored. The main part of this paper is focused on an approach to the analysis of manufacturing layouts and their parameters. The approach, which is based on a state of the art bottleneck detection method, allows an intelligent representation of the temporal process characteristics. The presented method is widely applicable for any type of manufacturing layout and time-span. The use of elementary heuristics leads to traceable results that can be used for further analysis or optimization. The results of this analysis method can be integrated in a DT and combined with machine learning and explainable artificial intelligence (XAI). The concept for a self-learning DT is explained and implementation possibilities are elucidated.","url":"https://doi.org/10.3390/app13063525","authors":["Benjamin Arff","Julian Haasis","Jochen Thomas","Christopher Bonenberger","Wolfram Höpken","Ralf Stetter"],"tags":["Bottleneck","Computer science","Heuristics","Internet of Things","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-09","doi":"https://doi.org/10.3390/app13063525","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4416233937","name":"SDN-Integrated Cloud-Edge Digital Twin Framework for Real-Time Monitoring in Additive Manufacturing","source":"openalex","abstract":"Emerging paradigms such as cloud-edge continuum, Software-Defined Networking (SDN), and Digital Twin (DT) technologies are transforming smart manufacturing systems by enabling intelligent automation, real-time monitoring, and scalable orchestration. These capabilities are particularly critical in additive manufacturing (AM), where latency-sensitive control and predictive maintenance are essential. However, current architectures often require dynamic network programmability, synchronized twin management, and secure telemetry pipelines. This paper presents an SDN-Integrated Cloud-Edge DT Framework tailored for real-time AM monitoring. The framework integrates KubeEdge’s DeviceTwin module for edge-local twin representation, a telemetry agent for structured data streaming, and SDN-controlled Open vSwitch (OVS) for adaptive traffic control. IoT-enabled AM devices, including 3D printers, CNC machines, and robotic arms, interface with the edge node for local state caching, while KubeEdge’s CloudCore aggregates device states for analytics, visualization, and policy enforcement. Experimental validation on a Kubernetes cluster demonstrates sub-100-ms twin synchronization, SDN enforcement under 312 ms, and streaming latency breakdowns across MQTT-Kafka stages. This work establishes a scalable, resilient, and programmable foundation for next-generation, Industry 5.0 manufacturing ecosystems.","url":"https://doi.org/10.1109/camad67323.2025.11229916","authors":["Henok Berhanu Tsegaye","Petro M. Tshakwanda","Ashok Karukutla","Raddad Almaayn","Yonatan M. Worku","Harsh Kumar","Michael Devetsikiotis"],"tags":["Computer science","Industry 4.0","Scalability","Distributed manufacturing","Interface (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-14","doi":"https://doi.org/10.1109/camad67323.2025.11229916","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4366609676","name":"A review of reference architectures for digital manufacturing: Classification, applicability and open issues","source":"openalex","abstract":"The industrial application of digital technologies in manufacturing can result in an increased efficiency of processes and an opportunity to integrate production, logistics and maintenance functions. However, increasingly interconnected manufacturing information means progressively more complex systems. Therefore, there is an ever growing need to provide structure in the design and development of such information systems which is the role of a system architecture. So called ‘reference architectures’ guide the design of system architectures used in particular applications. Reference architectures are models of information functions and their connections that provide a structured template with common terminology. Over the last decades, various reference architectures relevant to digital systems in manufacturing have been proposed. However, industrial applications of these reference architectures are scarce and it is difficult to compare and analyse them due to their various levels of application and different uses. In this study, we review and classify reference architectures used to support digital systems in manufacturing. Contributions of the paper include proposing criteria for a model to be referred to as a ‘reference architecture’, an overview and classification of the different perspectives on reference architectures in the literature, and a guideline to support practitioners, developers and academics in selecting a reference architecture.","url":"https://doi.org/10.1016/j.compind.2023.103923","authors":["Jan Kaiser","Duncan McFarlane","Gregory Hawkridge","Pascal André","Paulo Leitão"],"tags":["Computer science","Systems engineering","Manufacturing engineering","Engineering","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-21","doi":"https://doi.org/10.1016/j.compind.2023.103923","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3181670971","name":"Digital twin system of thermal error control for a large-size gear profile grinder enabled by gated recurrent unit","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s12652-021-03378-4","authors":["Jialan Liu","Hongquan Gui","Chi Ma"],"tags":["Pulverizer","Computer science","Algorithm","Grinding","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-14","doi":"https://doi.org/10.1007/s12652-021-03378-4","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4395051231","name":"Conceptualizing the digital thread for smart manufacturing: a systematic literature review","source":"openalex","abstract":"Abstract Business operations and supporting data analysis initiatives are impeded by the silos of data present within departments, systems, and business units. Consequently, the ability of managers and engineers to harness data for operational management and informed decision-making is curtailed. The rapid advancements in technology have revolutionized various aspects of product development, manufacturing, operations, and end-of-life treatment. One such transformative concept, the digital thread, has emerged as an important paradigm. It orchestrates the integration of information and data along the entire product lifecycle, spanning from initial design and engineering through production, maintenance, use, and eventual end of life. While the digital thread has garnered increasing attention within both the research community and industrial enterprises, there remains a notable lack of standardization concerning its utilization and applications. This comprehensive literature review aims to explore the role of the digital thread in manufacturing within the context of the product lifecycle. As a result, this review synthesizes insights into the technologies, roles, and functions of the digital thread throughout the product lifecycle. Furthermore, it proposes a structured framework designed to impart a standardized perspective of the digital thread’s relevance within the manufacturing product lifecycle. Ultimately, this framework is poised to serve as a guiding resource for practitioners and researchers in designing and implementing digital threads.","url":"https://doi.org/10.1007/s10845-024-02407-1","authors":["Tasnim A. Abdel-Aty","Elisa Negri"],"tags":["Product lifecycle","Thread (computing)","Standardization","Process management","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-23","doi":"https://doi.org/10.1007/s10845-024-02407-1","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4377968495","name":"Semantic Interoperability of Digital Twins: Ontology-based Capability Checking in AAS Modeling Framework","source":"openalex","abstract":"Industry 4.0 currently prepares a major shift towards extreme flexibility into production lines management. Digital Twins are one of the key enabling technologies for Industry 4.0. However, the interoperability gap among digital representation of Industry 4.0 assets is still one of the obstacles to the development and adoption of digital twins. If the Asset Administration Shell (AAS), the standard proposed to represent the I4.0 components, caters for syntactic interoperability, a more semantic kind of interoperability is deeply needed to develop flexible and adaptable production lines. In our work, we overcome the limitation of current syntactic-only resource matching algorithms by implementing semantic interoperability based on ontologies i.e., by transforming AAS-based plant models into MaRCO (Manufacturing Resource Capability Ontology) instances and then query the expanded ontology to find the needed resources. This article presents this ontology-based approach as the first step towards the design and implementation of an automated I4.0 flexible plant supervision and control system based on model-driven engineering (MDE) within the “Papyrus for Manufacturing” toolset. We show how an MDE approach can aggregate around digital twin modeling tools from the Papyrus platform both I4.0 technologies and AI (Knowledge Representation and Reasoning) tools. Our platform aligns modeling and ontological elements to get the best of both worlds. This method has two main advantages: (1) to provide semantic descriptions for digital twin models, (2) to complement model-driven engineering tools with automated reasoning. This paper showcases this approach through a robotic cell use case.","url":"https://doi.org/10.1109/icps58381.2023.10128003","authors":["Yining Huang","Saadia Dhouib","Luis Palacios Medinacelli","Jacques Malenfant"],"tags":["Computer science","Ontology","Semantic interoperability","Interoperability","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-08","doi":"https://doi.org/10.1109/icps58381.2023.10128003","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3173163365","name":"Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins","source":"openalex","abstract":"A cyber–cyber digital twin is a simulation of a software system. By contrast, a cyber–physical digital twin is a simulation of a non-software (physical) system. Although cyber–physical digital twins have received a lot of recent attention, their cyber–cyber counterparts have been comparatively overlooked. In this paper we show how the unique properties of cyber–cyber digital twins open up exciting opportunities for research and development. Like all digital twins, the cyber–cyber digital twin is both informed by and informs the behaviour of the twin it simulates. It is therefore a software system that simulates another software system, making it conceptually truly a twin, blurring the distinction between the simulated and the simulator. Cyber–cyber digital twins can be twins of other cyber–cyber digital twins, leading to a hierarchy of twins. As we shall see, these apparently philosophical observations have practical ramifications for the design, implementation and deployment of digital twins at Facebook.","url":"https://doi.org/10.1145/3463274.3463275","authors":["John Ahlgren","Kinga Bojarczuk","Sophia Drossopoulou","Inna Dvortsova","Johann George","Natalija Gucevska","Mark Harman","María Lomelí","Simon M. Lucas","Erik Meijer","Steve Omohundro","Rubmary Rojas","Silvia Sapora","Norm Zhou"],"tags":["Cyber-physical system","Computer science","Software deployment","Software","Hierarchy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-18","doi":"https://doi.org/10.1145/3463274.3463275","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4285730315","name":"Common Educational Teleoperation Platform for Robotics Utilizing Digital Twins","source":"openalex","abstract":"The erratic modern world introduces challenges to all sectors of societies and potentially introduces additional inequality. One possibility to decrease the educational inequality is to provide remote access to facilities that enable learning and training. A similar approach of remote resource usage can be utilized in resource-poor situations where the required equipment is available at other premises. The concept of Industry 5.0 (i5.0) focuses on a human-centric approach, enabling technologies to concentrate on human–machine interaction and emphasizing the importance of societal values. This paper introduces a novel robotics teleoperation platform supported by the i5.0. The platform reduces inequality and allows usage and learning of robotics remotely independently of time and location. The platform is based on digital twins with bi-directional data transmission between the physical and digital counterparts. The proposed system allows teleoperation, remote programming, and near real-time monitoring of controlled robots, robot time scheduling, and social interaction between users. The system design and implementation are described in detail, followed by experimental results.","url":"https://doi.org/10.3390/machines10070577","authors":["Tero Kaarlela","Halldor Arnarson","Tomi Pitkäaho","Beibei Shu","Bjørn Solvang","Sakari Pieskä"],"tags":["Teleoperation","Robotics","Artificial intelligence","Robot","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-18","doi":"https://doi.org/10.3390/machines10070577","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4366815065","name":"Automation in Education with Digital Twins: Trends and Issues","source":"openalex","abstract":"Digital twins are now being envisioned as digital representations of living and nonliving organisms that will allow data to be effortlessly exchanged between the physical and computer-generated creations, in addition to optimizing manufacturing processes. Because they allow for the monitoring, analysis, and optimization of physical functioning, digital twins can give constant input for enhancing quality of life and general well-being in humans. As part of the literature review, the following icons were used as case studies: ABBAtars and Queen, Carrie Fisher of Star Wars, and Dead Professor. It was concluded that the use of digital twins is growing and becoming more widely implemented and discussions on its implementation in educational contexts have begun to surface. This study looks at emerging trends in the use of digital twins and relates these trends to recent use cases of digital twins in educational contexts. The result is an understanding of both risks and potential of this technology for teaching and learning moving forward.","url":"https://doi.org/10.58887/ijodel.v8i2.229","authors":["Eric Hawkinson"],"tags":["Computer science","Automation","Data science","Queen (butterfly)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-24","doi":"https://doi.org/10.58887/ijodel.v8i2.229","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3211110100","name":"Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.aei.2021.101438","authors":["Shohin Aheleroff","Naser Mostashiri","Xun Xu","Ray Y. Zhong"],"tags":["Mass customization","Personalization","Service (business)","Business","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-01","doi":"https://doi.org/10.1016/j.aei.2021.101438","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4380364197","name":"Digital Triplet: A Sequential Methodology for Digital Twin Learning","source":"openalex","abstract":"A digital twin is a simulator of a physical system, which is built upon a series of models and computer programs with real-time data (from sensors or devices). Digital twins are used in various industries, such as manufacturing, healthcare, and transportation, to understand complex physical systems and make informed decisions. However, predictions and optimizations with digital twins can be time-consuming due to the high computational requirements and complexity of the underlying computer programs. This poses significant challenges in making well-informed and timely decisions using digital twins. This paper proposes a novel methodology, called the “digital triplet”, to facilitate real-time prediction and decision-making. A digital triplet is an efficient representation of a digital twin, constructed using statistical models and effective experimental designs. It offers two noteworthy advantages. Firstly, by leveraging modern statistical models, a digital triplet can effectively capture and represent the complexities of a digital twin, resulting in accurate predictions and reliable decision-making. Secondly, a digital triplet adopts a sequential design and modeling approach, allowing real-time updates in conjunction with its corresponding digital twin. We conduct comprehensive simulation studies to explore the application of various statistical models and designs in constructing a digital triplet. It is shown that Gaussian process regression coupled with sequential MaxPro designs exhibits superior performance compared to other modeling and design techniques in accurately constructing the digital triplet.","url":"https://doi.org/10.3390/math11122661","authors":["Xueru Zhang","Dennis K. J. Lin","Lin Wang"],"tags":["Computer science","Representation (politics)","Process (computing)","Computer engineering","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-11","doi":"https://doi.org/10.3390/math11122661","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3123204982","name":"Research on Digital Twin Framework of Military Large-scale UAV Based on Cloud Computing","source":"openalex","abstract":"Abstract Firstly, this article explains the characteristics and advantages of military large-scale UAVs, and points out the three basic problems currently encountered by military large-scale UAVs; secondly, this article is based on the current design, manufacturing and application reality of large-scale military UAVs, analyzed the urgent need to build a cloud computing-based digital twin framework for military large-scale UAVs, and discussed in detail from the aspects of test cost, integrated perception, centralized control, business prediction, and mission planning; again, this article proposed cloud-based computing The digital twin framework for military large-scale UAVs discusses the composition and functions of each layer; finally, it points out the five directions and work priorities that need to be paid attention to in the construction of the digital twin system of military large-scale UAVs, including UAV model, flight status measurement, reliable propagation channel, intelligent command and control, and capability evaluation analysis.","url":"https://doi.org/10.1088/1742-6596/1738/1/012052","authors":["Yinchuan Wang","Na Zhang","Hongshun Li","Junjie Cao"],"tags":["Cloud computing","Scale (ratio)","Computer science","Systems engineering","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1088/1742-6596/1738/1/012052","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4407226327","name":"Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins","source":"openalex","abstract":"The rapid evolution of smart city technologies has expanded digital twin (DT) applications from industrial to urban contexts. However, current urban digital twins (UDTs) remain predominantly focused on the physical aspects of urban environments (“spaces”), often overlooking the interwoven social dimensions that shape the concept of “place”. This limitation restricts their ability to fully represent the complex interplay between physical and social systems in urban settings. To address this gap, this paper introduces the concept of the social digital twin (SDT), which integrates social dimensions into UDTs to bridge the divide between technological systems and the lived urban experience. Drawing on an extensive literature review, the study defines key components for transitioning from UDTs to SDTs, including conceptualization and modeling of human interactions (geo-individuals and geo-socials), social applications, participatory governance, and community engagement. Additionally, it identifies essential technologies and analytical tools for implementing SDTs, outlines research gaps and practical challenges, and proposes a framework for integrating social dynamics within UDTs. This framework emphasizes the importance of active community participation through a governance model and offers a comprehensive methodology to support researchers, technology developers, and policymakers in advancing SDT research and practical applications.","url":"https://doi.org/10.3390/smartcities8010023","authors":["Saleh Qanazi","Éric Leclerc","Pauline Bosredon"],"tags":["Conceptualization","Bridge (graph theory)","Citizen journalism","Data science","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-05","doi":"https://doi.org/10.3390/smartcities8010023","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4377263858","name":"Bionic digital brain realizing the digital twin-cutting process","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102591","authors":["Jielin Chen","Shuang Li","Xiaolong Leng","Changping Li","Rendi Kurniawan","Yein Kwak","Tae Jo Ko"],"tags":["Process (computing)","Computer science","Information fusion","Artificial intelligence","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-22","doi":"https://doi.org/10.1016/j.rcim.2023.102591","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W3102248789","name":"Digital Twins of an Organization for Enterprise Modeling","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-63479-7_3","authors":["Uwe V. Riss","Heiko Maus","Sabrina Javaid","Christian Jilek"],"tags":["Agile software development","Exploit","Enterprise modelling","Computer science","Enterprise systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-63479-7_3","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"oa:W4285102602","name":"Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint","source":"openalex","abstract":"Collaborative robots are gradually taking over the leading position in automating the production and manufacturing of the SMEs, where the human-robot collaboration is highly emphasized. Therefore, estimating the force and simulating the performance of robots are of great importance. As a newly introduced technology, digital twin, has gained more attentions for simulation, process evaluation, real-time monitoring, etc. However, the current state-of-the-art of digital twin for robots still remains on the kinematic level, and the integrated robot system dynamics is too complex to be incorporated into the digital twin. Therefore, this research starts with the perspective of harmonic drive based robot joint, and proposes a dynamic model of robot joint by analyzing the composition, transmission principle, and internal interactions. Then the experimental parameter identification is performed to obtain the inherent parameters, which can reflect the system performance characteristics. Finally, a preliminary digital twin of robot joint integrated with dynamic model is established with Gazebo and MATLAB. The proposed approach could be used to simulate the dynamic behavior of robot joint in real time and make contributions to the state of the art for digital twin.","url":"https://doi.org/10.1109/icra46639.2022.9812458","authors":["Xingyu Yang","Dong Qiang","Zixuan Chen","Hao Wang","Zhengxue Zhou","Xuping Zhang"],"tags":["Robot","Kinematics","Computer science","Robot kinematics","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-23","doi":"https://doi.org/10.1109/icra46639.2022.9812458","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-981-96-5350-8_27","name":"Research on Lightweight Method of Industrial Robot Model Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-5350-8_27","authors":["Jinli Xu","Zihao Zeng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T15:47:53Z","doi":"10.1007/978-981-96-5350-8_27","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.24136/oc.2814","name":"Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market","source":"crossref","abstract":"Research background: On the basis of an analysis of the current situation and expectations in the field of implementation of the elements of the Industry 4.0 concept, the purpose of this paper is to identify the effects on the labor market in large manufacturing enterprises in the Slovak Republic. Purpose of the article: The presented work has a theoretical-empirical nature and consists of a theoretical section and a practical section, which includes statistical indicator analysis and quantitative research. In the theoretical section, the paper discusses the issue of Industry 4.0 in general, with a focus on its impact on the labor market, thus laying the groundwork for future research on the subject. Methods: The output of this work is an analysis of selected indicators of the manufacturing industry sector in the Slovak Republic, based on the most recent employment data analysis in the first stage and quantitative research survey in the second stage, with the respondents being manufacturing industry companies operating in the Slovak Republic, and whose primary objective is to determine the current status of the implementation of the elements and technologies of Industry 4.0 in production companies in the Slovak Republic, as well as the factors influencing this situation, such as digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms. Findings &amp; value added: The research findings indicate that the degree of digitization adopted by businesses in the Slovak Republic is comparatively less robust and more sluggish to adapt. This is primarily attributable to the underdeveloped educational system, population reluctance, self-actualization, and inadequate state support. Recommendations for the Slovak market aim to increase the digital proficiency of businesses and of the general populace through various means, such as reforming legislation, enhancing state support for entrepreneurs, and modifying the education system, constituting the added value of the work.","url":"https://doi.org/10.24136/oc.2814","authors":["Katarina Valaskova","Marek Nagy","Gheorghe Grecu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-21T18:07:16Z","doi":"10.24136/oc.2814","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1002/9781394411320.ch10","name":"Toward Smart Healthcare in the Digital Twin Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch10","authors":["MAMTA","Shravya Reddy KARRI"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch10","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/b978-0-443-32918-0.00002-2","name":"Digital twin implementation and case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-32918-0.00002-2","authors":["Tarasankar DebRoy","Tuhin Mukherjee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-20T21:19:49Z","doi":"10.1016/b978-0-443-32918-0.00002-2","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.37256/dmt.112021909","name":"Maximum Utilization in Operations Scheduling for Multiple Machines  and Batches in Additive Manufacturing","source":"crossref","abstract":"Scheduling and sequencing are forms of decision making that present a fundamental role in Additive Manufacturing (AM). This work studies the scheduling for a set of three-dimensional (3D) printers when the maximum utilization is used as an indicator. The aim is to establish a criterion that minimizes the use of available resources. A program has been done by using the software package Python and this has allowed studying the effect that the maximum utilization presents on operation scheduling. As evaluated a large number of pieces of various sizes, the analysis is found to be effective in yielding near-optimal solutions. The obtained outcomes have identified aspects of the production such as production planning and control as well as work organization.","url":"https://doi.org/10.37256/dmt.112021909","authors":["Salvador Castillo-Rivera"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-03T09:13:04Z","doi":"10.37256/dmt.112021909","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/jiot.2022.3224947","name":"Smart Clothing System With Multiple Sensors Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2022.3224947","authors":["Feng Yu","Ziyi Chen","Minghua Jiang","Zhangyuan Tian","Tao Peng","Xinrong Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-28T19:53:50Z","doi":"10.1109/jiot.2022.3224947","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2021.12.011","name":"A multi-scale modeling method for digital twin shop-floor","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.12.011","authors":["He Zhang","Qinglin Qi","Fei Tao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-06T18:57:44Z","doi":"10.1016/j.jmsy.2021.12.011","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/0951192x.2018.1529430","name":"The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2018.1529430","authors":["Nikolaos Nikolakis","Kosmas Alexopoulos","Evangelos Xanthakis","George Chryssolouris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-10-12T02:11:05Z","doi":"10.1080/0951192x.2018.1529430","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/0951192x.2025.2564781","name":"Digital twin modelling and its evaluation method of the robotic disassembly process","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2025.2564781","authors":["Yuning Han","Jiayi Liu","Lei Qi","Wenjun Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-24T13:51:24Z","doi":"10.1080/0951192x.2025.2564781","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.jmsy.2020.08.007","name":"Digital twin for cutting tool: Modeling, application and service strategy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2020.08.007","authors":["Yang Xie","Kunlei Lian","Qiong Liu","Chaoyong Zhang","Hongqi Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-08-15T07:25:30Z","doi":"10.1016/j.jmsy.2020.08.007","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-0-85729-564-4_8","name":"Key Technology of Digital Manufacturing Science","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-0-85729-564-4_8","authors":["Zude Zhou","Shane Xie","Dejun Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2011-10-21T06:10:13Z","doi":"10.1007/978-0-85729-564-4_8","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2025.09.011","name":"Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.09.011","authors":["Jinhua Xiao","Zhiwen Zhang","Sergio Terzi","Fei Tao","Nabil Anwer","Benoit Eynard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-22T21:58:46Z","doi":"10.1016/j.jmsy.2025.09.011","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/0951192x.2023.2189306","name":"Development of Digital twin for Plug-and-Produce of a Machine tending system through ISO 21919 interface","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2023.2189306","authors":["Yong-Keun Park","Joungmin Park","Sujong Kim","Dongyoon Lee","Sangyoon Lee","Jumyung Um"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-17T01:16:48Z","doi":"10.1080/0951192x.2023.2189306","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/0951192x.2021.1992666","name":"A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2021.1992666","authors":["Paolo Franceschi","Stefano Mutti","Kiara Ottogalli","Daniel Rosquete","Diego Borro","Nicola Pedrocchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-01T12:48:58Z","doi":"10.1080/0951192x.2021.1992666","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/c2022-0-00166-5","name":"Digital Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2022-0-00166-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-19T09:41:36Z","doi":"10.1016/c2022-0-00166-5","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2021.05.007","name":"Bi-level dynamic scheduling architecture based on service unit digital twin agents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.05.007","authors":["Jian Zhang","Tingming Deng","Haifan Jiang","Haojie Chen","Shengfeng Qin","Guofu Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-18T19:22:16Z","doi":"10.1016/j.jmsy.2021.05.007","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-0-85729-564-4_9","name":"Future Development of Digital Manufacturing Science","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-0-85729-564-4_9","authors":["Zude Zhou","Shane Xie","Dejun Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2011-10-21T06:10:13Z","doi":"10.1007/978-0-85729-564-4_9","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.rcim.2022.102481","name":"An update method for digital twin multi-dimension models","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2022.102481","authors":["He Zhang","Qinglin Qi","Wei Ji","Fei Tao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-01T19:53:55Z","doi":"10.1016/j.rcim.2022.102481","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10845-023-02172-7","name":"Digital Twin-based manufacturing system: a survey based on a novel reference model","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-023-02172-7","authors":["Shimin Liu","Pai Zheng","Jinsong Bao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-18T11:02:36Z","doi":"10.1007/s10845-023-02172-7","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.5772/34596","name":"Digital Manufacturing Supporting Autonomy and Collaboration of Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.5772/34596","authors":["Hasse Nylund","Paul H."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2012-05-18T08:01:56Z","doi":"10.5772/34596","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.rcim.2021.102198","name":"Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2021.102198","authors":["Jun Yan","Zhifeng Liu","Caixia Zhang","Tao Zhang","Yueze Zhang","Congbin Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-06T11:24:52Z","doi":"10.1016/j.rcim.2021.102198","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-025-17064-8","name":"Ensemble learning-based synchronous evolution mechanism for digital twin models in discrete manufacturing workshop","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-17064-8","authors":["Weiwei Qian","Liwei Shen","Hanpeng Gao","Yaning Tao","Weiguang Fang","Hao Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T13:59:26Z","doi":"10.1007/s00170-025-17064-8","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-0-85729-564-4_2","name":"Theory System of Digital Manufacturing Science","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-0-85729-564-4_2","authors":["Zude Zhou","Shane Xie","Dejun Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2011-10-21T06:10:13Z","doi":"10.1007/978-0-85729-564-4_2","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.addma.2025.105054","name":"Experimental validation of the Ensemble Kalman Filter as a Laser Powder Bed Fusion digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.addma.2025.105054","authors":["Nathaniel Wood","Edwin Schwalbach","Sean Donegan","Andrew Gillman","David J. Hoelzle"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-08T08:24:53Z","doi":"10.1016/j.addma.2025.105054","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2026.07.022","name":"Mechanism-driven Digital Twin for proactive fracture prediction in incremental forming: A physics-guided analytical approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2026.07.022","authors":["Feixiang Wang","Xiaojun Liu","Xiaotian Zheng","Chongxin Wang","Ming Su","Dong He","Jingwen Mo","Hao Wang","Mari Luz Penalva","Hai Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T10:35:36Z","doi":"10.1016/j.jmsy.2026.07.022","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-032-03722-0_13","name":"Optimization of Manufacturing Parameters Using Digital Twin Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-03722-0_13","authors":["Tanat Kanangnanon","Chalermpan Fongsamut","Bhusana Kongon","Prajaks Jitngernmadan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-01T00:38:48Z","doi":"10.1007/978-3-032-03722-0_13","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/c2020-0-02835-5","name":"Digital Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2020-0-02835-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-30T04:53:58Z","doi":"10.1016/c2020-0-02835-5","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s40192-020-00190-4","name":"Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis","source":"crossref","abstract":"Abstract The digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Model-based definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the product lifecycle (including the design, analysis, manufacturing, in service life, and retirement stages) and can be extended beyond the typical geometry and tolerance information within a computer-aided design. In this paper, the MBDs are extended to include materials information, via dynamic linkages. To this end, a model-based feature information network (MFIN) is created to provide a comprehensive framework that facilitates storing, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerant analysis for a compressor bladed-disk (blisk) is demonstrated, in Ti-6Al-4V blade(s) linear friction welded to the Ti-6Al-4V disk, creating well-defined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructure and residual stress values at the weld regions, this information is accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving data for use within physics-based models (resulting in the opportunity to reduce uncertainty in subsequent prognosis analyses), thereby enabling a digital twin description of the component or system.","url":"https://doi.org/10.1007/s40192-020-00190-4","authors":["Saikiran Gopalakrishnan","Nathan W. Hartman","Michael D. Sangid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-19T23:05:18Z","doi":"10.1007/s40192-020-00190-4","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.rcim.2023.102601","name":"Digital twin-enabled grasp outcomes assessment for unknown objects using visual-tactile fusion perception","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102601","authors":["Zhuangzhuang Zhang","Zhinan Zhang","Lihui Wang","Xiaoxiao Zhu","Huang Huang","Qixin Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-10T11:01:57Z","doi":"10.1016/j.rcim.2023.102601","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.11606/t.18.2022.tde-26012023-181116","name":"Development of an innovative additive manufacturing equipment containing a co-rotating twin screw extrusion unit","source":"crossref","abstract":"","url":"https://doi.org/10.11606/t.18.2022.tde-26012023-181116","authors":["Joaquim Manoel Justino Netto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-31T20:07:48Z","doi":"10.11606/t.18.2022.tde-26012023-181116","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2025.07.004","name":"Mixed-model product disassembly sequence optimization based on cognitive digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.07.004","authors":["Lei Qi","Wenjun Xu","Kaipu Wang","Jiayi Liu","Xun Ye","Hang Yang","Yi Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-15T13:30:21Z","doi":"10.1016/j.jmsy.2025.07.004","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-981-99-1245-2_30","name":"Development of Framework for Flexible Job Shop Scheduling Based on Digital Twin to Tackle Disturbing Events","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-1245-2_30","authors":["Muhammad Usman Nisar","Anas Ma’ruf","Abdul Hakim Halim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-20T17:01:51Z","doi":"10.1007/978-981-99-1245-2_30","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.rcim.2025.103132","name":"Robotic disassembly sequence dynamic planning under uncertain irremovable condition using dueling deep Q-network based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2025.103132","authors":["Jiayi Liu","Zhenlu Xu","Wenjun Xu","Lei Qi","Yuning Han","Zude Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-11T05:11:17Z","doi":"10.1016/j.rcim.2025.103132","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/00207543.2025.2521717","name":"Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes","source":"crossref","abstract":"","url":"https://doi.org/10.1080/00207543.2025.2521717","authors":["Muhammad Fadhlan Afif","Ahmed Aly Diaa Sarhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-23T14:03:27Z","doi":"10.1080/00207543.2025.2521717","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2026.02.010","name":"A digital twin-enabled system for real-time interactive monitoring and evaluation of aircraft tooling in the assembly process","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2026.02.010","authors":["Qihang Chen","Yang Zhang","Yongkang Lu","Jiacheng Cui","Chenfeng Hou","Pai Zheng","Wei Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T18:49:20Z","doi":"10.1016/j.jmsy.2026.02.010","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2024.11.018","name":"ProjecTwin: A digital twin-based projection framework for flexible spatial augmented reality in adaptive assistance","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.11.018","authors":["Jiazhen Pang","Pai Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-09T06:01:32Z","doi":"10.1016/j.jmsy.2024.11.018","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10696-024-09571-9","name":"A digital twin modeling method of production lines based on flexible manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10696-024-09571-9","authors":["Shaohui Su","Linbei Jiang","Wei Wang","Wanqiang Wang","Changyong Chu","Jiangang Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T03:43:11Z","doi":"10.1007/s10696-024-09571-9","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-38165-2_79","name":"Semantic Asset Administration Shell Towards a Cognitive Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-38165-2_79","authors":["Tomás Moreno","Thiago Sobral","António Almeida","António Lucas Soares","Américo Azevedo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-24T20:25:55Z","doi":"10.1007/978-3-031-38165-2_79","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-025-15468-0","name":"Digital twin for smart manufacturing equipment: modeling and applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-15468-0","authors":["Xuehao Sun","Fengli Zhang","Jinjiang Wang","Zhibin Yang","Zuguang Huang","Ruijuan Xue"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-02T20:37:14Z","doi":"10.1007/s00170-025-15468-0","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-74482-2_23","name":"Design of a Digital Twin to Optimize a Company’s Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-74482-2_23","authors":["Lontsi Lionel","Dossou Paul-Eric","Lissassi Kokou","Laouenan Gaspard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-08T09:14:21Z","doi":"10.1007/978-3-031-74482-2_23","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-022-09164-6","name":"A digital twin ecosystem for additive manufacturing using a real-time development platform","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-09164-6","authors":["Minas Pantelidakis","Konstantinos Mykoniatis","Jia Liu","Gregory Harris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-13T14:03:03Z","doi":"10.1007/s00170-022-09164-6","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/0951192x.2023.2204475","name":"Digital-twin-based job shop multi-objective scheduling model and strategy","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2023.2204475","authors":["Zhuo Zhou","Liyun Xu","Xufeng Ling","Beikun Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-04T14:41:00Z","doi":"10.1080/0951192x.2023.2204475","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.cej.2026.173126","name":"Electrothermal digital twin: Radio frequency heating for propane dehydrogenation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cej.2026.173126","authors":["Ankush Rout","Somtochukwu Lambert","Debalina Sengupta","Benjamin A. Wilhite","Mark A. Barteau","Micah J. Green"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T11:47:06Z","doi":"10.1016/j.cej.2026.173126","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-38165-2_69","name":"Framework for Implementing Digital Twin as an Industry 5.0 Concept to Increase the SME Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-38165-2_69","authors":["Paul-Eric Dossou","Claude Nshokano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-24T20:25:55Z","doi":"10.1007/978-3-031-38165-2_69","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2025.07.015","name":"RMDTs: Process-oriented function-triggered robotic milling digital twin system for service-expansion","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.07.015","authors":["Shengqiang Zhao","Fangyu Peng","Yunan Shan","Juntong Su","Xiaowei Tang","Rong Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-22T20:20:04Z","doi":"10.1016/j.jmsy.2025.07.015","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.rcim.2022.102443","name":"Digital twin-based job shop anomaly detection and dynamic scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2022.102443","authors":["Yibing Li","Zhiyu Tao","Lei Wang","Baigang Du","Jun Guo","Shibao Pang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-20T23:00:21Z","doi":"10.1016/j.rcim.2022.102443","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.jmsy.2025.09.013","name":"A unified V-shaped digital twin modeling paradigm of aircraft assembly systems for improving modeling accuracy and assembly quality","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.09.013","authors":["Ruihao Kang","Junshan Hu","Xingtao Su","Zhengping Li","Zhanghu Shi","Wei Tian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-27T07:34:12Z","doi":"10.1016/j.jmsy.2025.09.013","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-84744-8_1","name":"Research on Flexible and Reconfigurable Intelligent Production Line Units Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-84744-8_1","authors":["Zijian Guo","Wei Zhao","Zikuan Zhang","Xinyu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-10T08:49:05Z","doi":"10.1007/978-3-031-84744-8_1","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.3390/app11052202","name":"Application of a Simulation-Based Digital Twin for Predicting Distributed Manufacturing Control System Performance","source":"crossref","abstract":"During the last years, several research activities and studies have presented the possibility to perform manufacturing control using distributed approaches. Although these new approaches aim to deliver more flexibility and adaptability to the shop floor, they are not being readily adopted and utilised by the manufacturers. One of the main challenges is the unpredictability of the proposed solutions and the uncertainty associated with these approaches. Hence, the proposed research aims to explore the utilisation of Digital Twins (DTs) to predict and understand the execution of these systems in runtime. The Fourth Industrial Revolution is leading to the emergence of new concepts amongst which DT stand out. Given their early stage, however, the already existing implementations are far from standardised, meaning that each practical case has to be analysed on its own and solutions are often created from scratch. Taking the aforementioned into account, the authors suggest an architecture that enables the integration between a previously designed and developed agent-based distributed control system and its DT, whose implementation is also provided in detail. Furthermore, the digital model’s calibration is described jointly with the careful validation process carried out. Thanks to the latter, several conclusions and guidelines for future implementations were possible to derive as well.","url":"https://doi.org/10.3390/app11052202","authors":["Gonçalo Roque Rolo","Andre Dionisio Rocha","João Tripa","Jose Barata"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-03T05:10:16Z","doi":"10.3390/app11052202","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.4324/9781032693415-10","name":"Towards semantic standard and process ontology for additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-10","authors":["Sylvain Gouttebroze","Jesper Friis","Even Wilberg Hovig","Klas Boivie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-10","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.ifacol.2024.07.314","name":"eMob-Twin: A Digital Twin for Electromobility Flexibility Forecast","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2024.07.314","authors":["Carlos Canudas-de-Wit","Baptiste Lefeuvre"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T16:04:59Z","doi":"10.1016/j.ifacol.2024.07.314","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10845-024-02560-7","name":"Multi-stage tool wear prediction method based on multi-dimensional digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-024-02560-7","authors":["Wei Dai","Shujie Liu","Shuai Lv","Jinyan Hu","Xilin Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-29T01:19:18Z","doi":"10.1007/s10845-024-02560-7","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1049/cim2.70056","name":"Development of a Digital Twin for a Bakery Line With Predictive Analytics and Adaptive Control Functions","source":"crossref","abstract":"ABSTRACT This paper presents the development and validation of a digital twin system for a bakery production line, integrating real‐time sensor data, physics‐based process models and advanced predictive analytics with CNN + LSTM neural networks. The proposed architecture combines logistic growth, moisture evaporation and heat transfer equations with deep learning for accurate prediction and early detection of baking defects. Simulation and pilot implementation results demonstrate that the digital twin reproduces dough volume dynamics with an error below 3%, predicts humidity within ± 2% and stabilises oven temperature in a narrow range (± 1.2°C). The intelligent system enabled a 77% reduction in unplanned equipment downtime, decreased alarm events by over 60% and reduced the share of defective products from 8% to 2%. These outcomes highlight the practical impact and scalability of the hybrid digital twin framework for improving product quality, minimising losses and enhancing process reliability in food manufacturing.","url":"https://doi.org/10.1049/cim2.70056","authors":["Bauyrzhan Amirkhanov","Murat Kunelbayev","Gulshat Amirkhanova","Tomiris Nurgazy","Gulnur Tyulepberdinova","Sholpan Tletay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T18:04:31Z","doi":"10.1049/cim2.70056","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-021-06976-w","name":"Digital twin–driven aero-engine intelligent predictive maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-021-06976-w","authors":["Minglan Xiong","Huawei Wang","Qiang Fu","Yi Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-03T12:29:50Z","doi":"10.1007/s00170-021-06976-w","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10479-022-04759-4","name":"ROS-based architecture for fast digital twin development of smart manufacturing robotized systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10479-022-04759-4","authors":["Carolina Saavedra Sueldo","Ivo Perez Colo","Mariano De Paula","Sebastián A. Villar","Gerardo G. Acosta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-07T13:03:56Z","doi":"10.1007/s10479-022-04759-4","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-032-18786-4_13","name":"A Digital Twin System for AR-Based Maintenance Support","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-18786-4_13","authors":["Andrew R. Ingle","Anton H. Basson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T02:57:06Z","doi":"10.1007/978-3-032-18786-4_13","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.5194/wes-2025-226","name":"Digital Twin – Driven Machine Learning Optimization Framework for Multizone Curing Control in Wind Turbine Blade Manufacturing","source":"crossref","abstract":"Abstract. The Vacuum-Assisted Resin Infusion Molding (VARIM) process is widely used in wind turbine blade manufacturing due to its cost-effectiveness and reliability. However, challenges such as prolonged curing cycles and defects caused by non-uniform cure remain persistent. To address these issues, multizone heating systems have been developed to enable independent temperature control across blade sections. Yet, optimizing the temperature profile in each zone is computationally intensive, requiring detailed modelling of curing kinetics and heat transfer mechanisms. To overcome these challenges, in this work, a machine learning (ML) based digital twin of the VARIM process was developed using a time-distributed long short-term memory (LSTM) network trained on data generated by a high-fidelity multiphysics solver. The model achieved a predictive accuracy of 96.7 % in replicating the resin curing behavior. Its time-distributed architecture effectively captures the spatial – temporal dependencies across multiple zones, allowing precise prediction of the degree-of-cure evolution. Paired with a gradient-free optimization algorithm, the digital twin reduced curing time by 12.5 % while improving cure uniformity. This AI-driven framework eliminates costly trial-and-error experimentation, and provides a scalable, adaptive solution for improving both quality and productivity in wind turbine blade manufacturing, with strong potential for extension to other composite manufacturing processes.","url":"https://doi.org/10.5194/wes-2025-226","authors":["Sahil Kamath","Niloufar Adab","Rajat Srivastava","Zhiqi Mao","Ehsan Mehrdad","Yingjian Liu","Stephen Nolet","Joseph Wilson","Xu Chen","Hongbing Lu","Dong Qian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-12T13:21:57Z","doi":"10.5194/wes-2025-226","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s10845-019-01500-0","name":"Real-time machining data application and service based on IMT digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-019-01500-0","authors":["Xin Tong","Qiang Liu","Shiwei Pi","Yao Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-10-08T20:02:47Z","doi":"10.1007/s10845-019-01500-0","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1109/icosec67334.2025.11459737","name":"Hybrid Deep Learning Model for Fault Diagnosis in Smart Manufacturing using Edge AI and Digital Twin Integration","source":"openalex","abstract":"The rapid advancement of Industry 4.0 has accelerated the need for intelligent and autonomous fault diagnosis in smart manufacturing systems. This paper presents a hybrid deep learning approach that combines Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to effectively capture both spatial and temporal features from industrial sensor data. To support real-time fault detection and diagnosis, the model is deployed via Edge AI, thereby reducing latency, conserving bandwidth, and improving operational responsiveness. In addition, a Digital Twin of the manufacturing process is developed, offering a synchronized virtual representation of the physical system. This enables continuous monitoring, simulation, and predictive analytics, improving contextual awareness and fault explainability. Experimental evaluation on publicly available benchmark datasets demonstrates that the proposed model outperforms traditional approaches in terms of accuracy, noise robustness, and response time. The integration of deep learning, edge computing, and digital twin technologies provides a scalable and intelligent framework for predictive maintenance and real-time monitoring in next-generation smart factories.","url":"https://doi.org/10.1109/icosec67334.2025.11459737","authors":["Lendale Venkateswarlu","Ch Ram Mohan","P. Karunakar Reddy","Vasavi Bande","M Archana","Pavan Kumar Reddy Manellore"],"tags":["Deep learning","Artificial intelligence","Fault (geology)","Enhanced Data Rates for GSM Evolution","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"10.1109/icosec67334.2025.11459737","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1109/ieem45057.2020.9309928","name":"Digital Twin-based Production Simulation of Discrete Manufacturing Shop-floor for Onsite Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieem45057.2020.9309928","authors":["Y. F. Zhang","Y. Q. Shao","J. F. Wang","S. Q. Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-01-13T20:57:31Z","doi":"10.1109/ieem45057.2020.9309928","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.69997/sct.135296","name":"Towards the Development of Digital Twin for Pharmaceutical Manufacturing","source":"crossref","abstract":"Pharma 4.0 has continued to advance as the industry develops advances in process analytical technologies, automation, and digit-ization. Digital twins which transform on-line process measure-ments into meaningful outputs in real-time are being developed to seize the opportunity made possible with this shift. Digital twins can be used for improved process optimization on a range of scales, from determining optimal metabolite concentrations in upstream bioreactors to considering economic and environmental impacts of process decisions. In this paper, we explore the current uses of digital twins in solid-based pharmaceutical space and the bio-pharmaceutical manufacturing. Applications cover scale up of upstream processes, product quality control, and consideration of continuous systems. We also describe the intersection of digital twins in flow sheet modeling, sensitivity analysis and optimization, and design space evaluation. Finally, areas requiring further im-provement for industry adoption are addressed.","url":"https://doi.org/10.69997/sct.135296","authors":["Katherine Raudenbush","Nikola Malinov","Jayanth V. Reddy","Chaoying Ding","Huayu Tian","Marianthi Ierapetritou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-09T10:24:08Z","doi":"10.69997/sct.135296","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.3233/atde260235","name":"Digital Twin Implementation of Power Pipeline Systems: A Unity3D-Based Visualization and Simulation Framework","source":"crossref","abstract":"Power pipeline management is crucial for ensuring the safety of buildings. However, there are some problems with traditional power pipeline management, such as data management confusion, data update lag, and a lack of information dimension. Under the background of smart city construction and the digital twin, this paper designs and implements a three-dimensional visual operation and maintenance management system of smart power pipeline based on digital twin technology. The system takes Unity3D as the core development engine, combines OpenGauss database and parametric modeling technology, and constructs a three-dimensional digital twin scene of a power pipeline. It supports multi-view browsing, spatial ranging, safe live distance display, equipment monomer disassembly, multi-modal state simulation, data editing, and power failure simulation. The system effectively improves the management efficiency and maintenance convenience of power pipelines.","url":"https://doi.org/10.3233/atde260235","authors":["Guo Liu","Yizhe Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-18T19:42:48Z","doi":"10.3233/atde260235","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1080/23311916.2024.2415670","name":"Optimizing smart manufacturing system: a digital twin approach utilizing teaching–learning-based optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1080/23311916.2024.2415670","authors":["Gundreddi Deepika Reddy","Nageswara Rao Medikondu","T. Vijaya Kumar","Vigneshwar Pesaru","A. Anitha Lakshmi","Saurav Dixit","Pramod Kumar","Laith H. Alzubaidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-29T18:29:58Z","doi":"10.1080/23311916.2024.2415670","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-3-031-24291-5_13","name":"Digital Twin Lifecycle: Core Challenges and Open Issues","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-24291-5_13","authors":["Farah Abdoune","Maroua Nouiri","Olivier Cardin","Pierre Castagna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-01T10:24:30Z","doi":"10.1007/978-3-031-24291-5_13","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.compositesb.2025.112422","name":"A step toward digital twin accuracy in composite manufacturing: Pioneering contour method in polymer composites","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.compositesb.2025.112422","authors":["Praveen K.R.","Fabien Lefebvre","Foroogh Hosseinzadeh","John Bouchard","Damien Guillon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-19T18:39:15Z","doi":"10.1016/j.compositesb.2025.112422","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10845-025-02699-x","name":"Rapid digital twin modeling method and system for equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-025-02699-x","authors":["Liang Chen","Moshi Zhou","Jingshu Zhong","Yuqian Lu","Yu Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-18T09:12:45Z","doi":"10.1007/s10845-025-02699-x","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.3390/pr13072101","name":"Digital Twin for Upstream and Downstream Integration of Virus-like Particle Manufacturing","source":"crossref","abstract":"Virus-like particles (VLPs) have the potential to become a versatile carrier platform for vaccination against multiple diseases. In the light of short process development timelines and the demand for reliable and robust processes, metabolic modeling of cell culture processes offers great advantages when coupled with a Quality-by-Design (QbD) development approach. A previous work was able to demonstrate the accurate prediction of HEK293F PiggyBac cell concentration as well as VLP titer and metabolite production with a reduced metabolic model. This work presents the reduced metabolic model for a more productive cell line Sleeping Beauty and emphasizes the need for model re-parameterization when the producer cell line changes. The goal of precise prediction for a fed-batch and continuous HEK293 cultivation can, therefore, be achieved. In terms of decision-making for downstream unit operations, a soft sensor for the prediction of main impurities like proteins and DNA was introduced for the first time for the production of lentiviral vectors with several terms describing the release of impurities like DNA and proteins, growth-related protein production, and enzymatic degradation activity associated with cell dissociation in an accurate manner. The additional information can contribute to a more efficient design phase by reducing experimental effort as well as during cultivation with data-based decision-making. With the aid of real-time process data acquisition through process analytical technology (PAT), its predictive power can be enhanced and lead to more reliable processes.","url":"https://doi.org/10.3390/pr13072101","authors":["Simon Baukmann","Alina Hengelbrock","Kristina Katsoutas","Jörn Stitz","Axel Schmidt","Jochen Strube"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-02T06:10:26Z","doi":"10.3390/pr13072101","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s10845-025-02686-2","name":"Intelligent digital twin process for the end-milling simulation combined with a multi-physical model","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-025-02686-2","authors":["Sang Min Yang","Joon-Hyeok Choe","Jisoo Kim","Dong Min Kim","Hyung Wook Park"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-30T14:20:15Z","doi":"10.1007/s10845-025-02686-2","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-021-08369-5","name":"A digital twin–driven method for online quality control in process industry","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-021-08369-5","authors":["Xiaoyang Zhu","Yangjian Ji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-04T19:10:46Z","doi":"10.1007/s00170-021-08369-5","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.geits.2022.100014","name":"A survey of Digital Twin techniques in smart manufacturing and management of energy applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.geits.2022.100014","authors":["Yujie Wang","Xu Kang","Zonghai Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-23T12:46:14Z","doi":"10.1016/j.geits.2022.100014","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.12688/digitaltwin.17563.3","name":"Web-based digital twin online laboratories: Methodologies and implementation","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17563.3","authors":["Zhongcheng Lei","Hong Zhou","Wenshan Hu","Guo-Ping Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-14T07:25:12Z","doi":"10.12688/digitaltwin.17563.3","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-021-07773-1","name":"The ontology-based modeling and evolution of digital twin for assembly workshop","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-021-07773-1","authors":["Qiangwei Bao","Gang Zhao","Yong Yu","Sheng Dai","Wei Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-28T20:02:40Z","doi":"10.1007/s00170-021-07773-1","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/978-981-96-2625-0_74","name":"Visual Design and Implementation of Magnetic Levitation Sorting Station for Intelligent Logistics System Driven by Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-2625-0_74","authors":["Wenhai Ma","Song Liu","Yongsheng Dai","Changhong Lu","Haoyu Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-14T08:52:37Z","doi":"10.1007/978-981-96-2625-0_74","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1109/indin58382.2024.10774248","name":"Bridging the Gap: Digital Twin Integration and Evaluation in Robotic Multi-Axis Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin58382.2024.10774248","authors":["Tomáš Jochman","Václav Voltr","Václav Kubáček","Ondřej Švec","Pavel Burget","Václav Hlaváč"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:05:07Z","doi":"10.1109/indin58382.2024.10774248","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1016/j.renene.2025.123176","name":"Robust wind turbine monitoring for digital twin integration: A physics-informed covariance-preserving deep learning approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.renene.2025.123176","authors":["Minhyeok Ko","Abdollah Shafieezadeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-01T15:39:16Z","doi":"10.1016/j.renene.2025.123176","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1007/s00170-025-15311-6","name":"Learning digital twin: a case study on chatter suppression based on a time-varying stability lobe diagram","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-15311-6","authors":["Zhibo Zhou","Michael Walther","Alexander Verl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T00:43:31Z","doi":"10.1007/s00170-025-15311-6","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1063/5.0291701","name":"A review on tool condition monitoring in CNC turning process using digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1063/5.0291701","authors":["Vaishnavi Dolli","Sai Vamsi Jally","Yash Rawal","H. K. Madhusudhana","G. J. Satish","Anand R. Lakkundi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-04T00:30:33Z","doi":"10.1063/5.0291701","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1016/j.aei.2024.102404","name":"Enhancing trusted synchronization in open production logistics: A platform framework integrating blockchain and digital twin under social manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102404","authors":["Zhongfei Zhang","Ting Qu","Kuo Zhao","Kai Zhang","Yongheng Zhang","Wenyou Guo","Lei Liu","Zefeng Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-04T23:53:13Z","doi":"10.1016/j.aei.2024.102404","addedAt":"2026-09-01T01:47:41.243Z","updatedAt":"2026-09-01T01:47:41.243Z"},{"id":"doi:10.1038/s41598-026-45272-z","name":"Digital twins: past, present and future.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45272-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-45272-z","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1002/cssc.70788","name":"Synergistic Coupling of Iron Single Atoms and Nanoscale Clusters for Enhanced Nitrate Electroreduction to Ammonia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/cssc.70788","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/cssc.70788","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41598-026-49367-5","name":"Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-49367-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-49367-5","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.21203/rs.3.rs-9875483/v1","name":"Human-Centric Smart Manufacturing for Sustainable Leather Production: An Industry 5.0 Framework","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9875483/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9875483/v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-42871-8","name":"Leveraging Industry 4.0 technologies for organizational sustainability performance in Chinese firms: an NRBV-mediated model advancing UN SDGs 9 and 12.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42871-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-42871-8","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/asia.70800","name":"Interfacial Electronic Engineering in NiCo&lt;sub&gt;2&lt;/sub&gt;S&lt;sub&gt;4&lt;/sub&gt;@NiAl‑LDH Core-Shell Nanoarrays for Advanced Supercapacitor Electrodes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/asia.70800","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/asia.70800","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/ma19071301","name":"Artificial Intelligence in Metal Additive Manufacturing: Applications in Design, Process Modeling, Monitoring, and Quality Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19071301","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19071301","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/ma19091808","name":"Artificial Intelligence in Materials Science and Engineering.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19091808","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19091808","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-9467279/v1","name":"Autonomous Quality Intelligence (AQI)","source":"europepmc","abstract":"Abstract Quality management systems in modern manufacturing are at a critical inflection point. Traditional Design Control frameworks including Design Development Plans (DDP), Design History Files (DHF), Verification and Validation (V&V), Design Inputs and Outputs, and Design Control Plans (DCP) are largely document-centric, reactive, and siloed from real-time production intelligence. While ISO 9001:2015 and regulatory standards such as FDA 21 CFR Part 820 provide robust compliance architectures, their implementation remains labor-intensive, error-prone, and disconnected from emerging digital manufacturing ecosystems. This paper introduces the Autonomous Quality Intelligence (AQI) Framework, a novel, first-of-its-kind architecture that unifies Generative Artificial Intelligence (GenAI), Industrial Digital Twin (IDT) technology, and real-time compliance orchestration engines into a single, self-adaptive Design Control system. AQI redefines how organizations manage Design Inputs, Design Outputs, DDP, DHF, V&V cycles, and DCP transforming static documentation into living, AI-governed, sensorsynchronized quality artifacts. The framework introduces three original constructs: (1) the Compliance Generative Layer (CGL) for automated, regulation-aware documentation synthesis; (2) the Dynamic Verification Engine (DVE) for continuous, twin-based validation; and (3) the Predictive Risk Intelligence Module (PRIM) for AI-augmented FMEA and risk scoring aligned with ISO 14971 and ISO 9001 Clause 6.1. A case study from a transit infrastructure manufacturing environment (Aventura Corporation, MTA New York) demonstrates AQI implementation outcomes: 40% reduction in design-related nonconformances, 97% first-pass verification success rate, 100% regulatory submission acceptance, and a 35% decrease in quality-related costs. The AQI Framework is proposed as a universal, cross-industry standard applicable to medical devices, aerospace, automotive, and high-tech manufacturing sectors, with direct alignment to ISO 9001:2015, ISO 13485:2016, and FDA 21 CFR 820.30 requirements. 1","url":"https://doi.org/10.21203/rs.3.rs-9467279/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9467279/v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s26123885","name":"PHM Services Based on Cyber-Physical Machine Tool System.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123885","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123885","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.20944/preprints202605.0013.v1","name":"Unveiling Data Science in Manufacturing Processes: Current Practices, Misconceptions, and Future Directions","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.0013.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.0013.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/foods15142530","name":"Research Progress Regarding Heat and Mass Transfer Characteristics of Agricultural Products Under Different Drying Methods, and Associated Applications: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/foods15142530","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/foods15142530","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-10359684/v1","name":"A Proposed IoT Enabled Vibration Monitoring Framework for Predictive Maintenance of Critical Cement Plant Equipment","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10359684/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10359684/v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.20944/preprints202603.1064.v1","name":"Digital Twin Framework for Robot Path Planning and Real-Time Execution Using Unity-ROS Integration: Systems Architecture and Experimental Validation","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.1064.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202603.1064.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-40576-6","name":"Adaptive human-robot collaboration in wind turbine manufacturing using digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40576-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-40576-6","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.20944/preprints202605.2094.v1","name":"AI-Enabled Quality Control Adoption in Manufacturing SMEs: A TOE-Framework Analysis Using PLS-SEM, IPMA, and fsQCA","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.2094.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202605.2094.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1080/10837450.2026.2694094","name":"Compression equations in pharmaceutical tableting: from classical compaction models to data-driven and mechanistic approaches.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/10837450.2026.2694094","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1080/10837450.2026.2694094","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26103194","name":"IoT-Cloud-Based Control of a Mechatronic Production Line Assisted by a Dual Cyber-Physical Robotic System Within Digital Twin, AI and Industry/Education 4.0/5.0 Frameworks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103194","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26103194","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-61113-5","name":"Generalized graph foundation models as versatile data-driven digital twins for complex technological systems.","source":"europepmc","abstract":"Digital twins are comprised of computational models that mimic the 'as built' characteristics of devices, systems, and networks of systems whose performance in the real world warrants quantitative and critical assessment.The literature on constructing digital twins is historically focused around task-specific, physics-based models that seek to understand the device from first principles, thereby constructing an idealized digital twin, based on the known physics, of the system.However, these \"physics-based digital twins\" (pbDT) can be quite difficult to construct, as the level of detail required to accurately model the complex physics of many devices is often missing or expensive to obtain, especially for systems with widespread deployment.Additionally, pbDTs generally assume the device is working as intended; in practice, many systems experience some form of performance degradation, or derating, that causes them to operate off-specification, in manners such that the basic physics is undetermined.As it is often the goal of a digital twin model to quantify these departures from the idealized system, it is quite difficult to separate assumptions from the expected model output.In contrast, data-driven digital twins (ddDT) seek to model the system as it actually is based on real observations and datastreams arising from the device in question.ddDTs enable agility in responses because they learn system dynamics directly from data at operational timescales. As a result, complex physical phenomena of a physical system or process, which are often difficult to explicitly model, can be captured since their combined effects are implicitly reflected in the measured datastreams of sensors and control signals. Additionally, ddDTs generally utilize a flexible model architecture (typically an artificial neural network) to avoid injecting implicit bias into the system. This flexibility also lends itself to another advantage: modularity, that a single ddDT model architecture can be used to train ddDTs for multiple, quite different systems, and to answer multiple different questions about the real-world system.With a ddDT, it is possible to train the model in a self-supervised manner via a reconstruction objective to obtain a trained \"encoder\" module.This trained encoder module can then be used as a Foundation Model (FM) for the system to answer different task-specific questions without necessitating the training of a new, task-specific, pbDT or training another ddDT from scratch.This work presents a unified pipeline for constructing data-driven Foundation Models for three exemplifying cases: solar-photovoltaic fleets, direct-ink-write additive manufacturing, and laser-powder-bed-fusion additive manufacturing.Although these three systems are conceptually very different, the presented Foundation Model utilizes the flexibility of spatiotemporal graph neural networks (st-GNNs) to apply the same methodology to each case, allowing scientists to focus on their scientific objectives rather than troubleshooting an overwhelmingly detailed physics-based modeling pipeline.","url":"https://doi.org/10.1038/s41598-026-61113-5","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-61113-5","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/mi17020226","name":"A Transferable Digital Twin-Driven Process Design Framework for High-Performance Multi-Jet Polishing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi17020226","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/mi17020226","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.21203/rs.3.rs-9546340/v1","name":"Reciprocating-Rotating mixer-based Powder Delivery System Giving Continuous Metal Particles Flow in Aqueous Media during Powder-based Electrochemical Metal Additive Manufacturing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9546340/v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9546340/v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1002/smll.74442","name":"Rapid Fabrication of Biomimetic Perfusable Structures via Lift-Up Viscous Fingering.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/smll.74442","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/smll.74442","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s00449-026-03362-2","name":"Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00449-026-03362-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00449-026-03362-2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1080/00140139.2026.2617969","name":"Digital twin-driven, human-centric ergonomic risk forecasting in automotive and industrial assembly: a collective case study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/00140139.2026.2617969","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1080/00140139.2026.2617969","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41467-025-68281-4","name":"Explainable mechanism for production process anomalies based on digital twin.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-68281-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41467-025-68281-4","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ph19060850","name":"Transitioning Amiodarone Tablet Manufacturing: A Comparative Study of Batch and Continuous Wet Granulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ph19060850","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ph19060850","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26010004","name":"A Case Study on DNN-Based Surface Roughness QA Analysis of Hollow Metal AM Fabricated Parts in a DT-Enabled CW-GTAW Robotic Manufacturing Cell.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010004","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s26010004","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/mi17080900","name":"An Adaptive-Output Operational Amplifier for Electrostatic Closed-Loop MEMS Gyroscope Drive Circuits.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi17080900","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/mi17080900","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/bioengineering13070833","name":"Bifurcations and Hyperchaos in Mathematical Models of Sleep.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bioengineering13070833","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/bioengineering13070833","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.compbiomed.2026.111813","name":"A TPMS-integrated paediatric proximal femoral osteotomy implant demonstrates structural feasibility and improved load sharing: An in silico proof-of-concept study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.compbiomed.2026.111813","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.compbiomed.2026.111813","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41598-026-56606-2","name":"Interface access control graph neural network method for flexible automation production of mine ventilation duct.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-56606-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-56606-2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.foodres.2026.119762","name":"Next-generation intelligent prepared aquatic dishes: research progress in digital heat control and quality evaluation empowered by industry 4.0.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.foodres.2026.119762","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.foodres.2026.119762","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1088/1758-5090/ae647e","name":"Resolving the multiscale design trade-off in bone tissue engineering: from generative design to digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1088/1758-5090/ae647e","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1088/1758-5090/ae647e","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s26010124","name":"AI-Driven Digital Twins for Manufacturing: A Review Across Hierarchical Manufacturing System Levels.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010124","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s26010124","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/membranes16080265","name":"Comparative Numerical Evaluation of Feed-Spacer Geometries in Reverse Osmosis Modules for Enhanced Water Treatment Sustainability.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/membranes16080265","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/membranes16080265","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.64898/2026.03.03.709446","name":"Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin—Cascade Learner of Thrombosis (CLoT) for personalized thrombosis prediction","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.03.03.709446","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.03.709446","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1080/17435889.2026.2645781","name":"Process and purification synergies with data analytics driving clinical translation in nanomedicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/17435889.2026.2645781","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1080/17435889.2026.2645781","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1177/21695172261426875","name":"MAT-DiSMech: A Discrete Differential Geometry-Based Computational Tool for Simulation of Rods, Shells, and Soft Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/21695172261426875","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1177/21695172261426875","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/mi17040422","name":"Editorial for Future Trends in Ultra-Precision Machining.","source":"europepmc","abstract":"Ultra-precision machining (UPM) is an advanced manufacturing technology used to produce components with exceptionally high dimensional accuracy, surface integrity, and form precision [...].","url":"https://doi.org/10.3390/mi17040422","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/mi17040422","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3390/s26113581","name":"Review of Optical Fiber and Integrated Photonic Sensors for Industry and Smart Manufacturing: Technologies, Applications, Structural Health Monitoring and AI-Enabled Sensing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113581","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113581","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-026-47975-9","name":"A digital twin-assisted fault diagnosis method for stage lifts based on lightweight multi-scale convolution and broadcast self-attention mechanisms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-47975-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-47975-9","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s26072220","name":"Digital Twin-Based Improved YOLOv8 Algorithm for Micro-Defect Detection of Labyrinth Drip Emitters in High-Speed Agricultural Production Lines.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072220","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26072220","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s26082294","name":"Automated Assembly of Large-Scale Aerospace Components: A Structured Narrative Survey of Emerging Technologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082294","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26082294","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/ma19020426","name":"Advanced Numerical Modeling of Powder Bed Fusion: From Physics-Based Simulations to AI-Augmented Digital Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19020426","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19020426","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3791/69833","name":"Integrating Human Factors into Operations Management Education in the Industry 5.0 era.","source":"europepmc","abstract":"","url":"https://doi.org/10.3791/69833","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3791/69833","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s26134204","name":"Research Progress on Mechanical Properties and Fatigue Failure of Harmonic Drive Flexspline.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134204","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26134204","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.xphs.2026.104334","name":"Automation and digitalization in drug product process development.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.xphs.2026.104334","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.xphs.2026.104334","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/ph19060921","name":"A Material-Process-Equipment Integrated Design Method for Accelerating the Process Development of Twin-Screw Wet Granulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ph19060921","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ph19060921","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s26134302","name":"Decoding Multidimensional Machining Loads: iKIT Wireless Extrasensory Toolholder and Parametric Analysis in Aluminum Cutting.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134302","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26134302","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.dib.2026.112795","name":"Dataset of pulse - echo ultrasonic a - scan signals for derived recovery features of NMC - 622 cathode slurries during post - mixing structural evolution.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112795","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112795","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s26051723","name":"Target Tissue Identification Based on Image Processing for Regulating Automatic Robotic Lung Biopsy Sampler: Onsite Phantom Validation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051723","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26051723","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/mi17070864","name":"Mechanisms of Film-Formation-Related Defects in EUV Photoresists for Sub-3 nm Nodes and Synergistic Materials-Process-Intelligence Co-Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi17070864","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/mi17070864","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1038/s41598-025-28904-8","name":"Software-defined self-learning control system for industrial robots by using reinforcement learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28904-8","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-025-28904-8","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s25195978","name":"Digital Twin-Based Intelligent Monitoring System for Robotic Wiring Process.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25195978","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25195978","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.iccl.2025.12.002","name":"Toward Smart and Adaptive Endovascular Devices: The Role of Digital Twins in Precision Vascular Medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.iccl.2025.12.002","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.iccl.2025.12.002","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-52507-6","name":"Optimizing material and process parameters in laser engineered net shaping using liquid neural networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-52507-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-52507-6","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.ijpharm.2025.126301","name":"End-to-end digital twin software for continuous mRNA manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2025.126301","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.ijpharm.2025.126301","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1093/nsr/nwag208","name":"Low-altitude economy: next frontier in spatial exploration and economic development.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/nsr/nwag208","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1093/nsr/nwag208","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1021/acsnano.6c05350","name":"Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsnano.6c05350","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1021/acsnano.6c05350","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.foodres.2026.119857","name":"Next-generation super-drying technologies for aquatic foods in the context of industry 5.0: A review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.foodres.2026.119857","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.foodres.2026.119857","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1364/oe.580551","name":"Unifying spectrum measurements for digital twin optical networks via high-dimensional feature calibration and meta-learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/oe.580551","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1364/oe.580551","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s25185662","name":"Towards Sustainable Personalized Assembly Through Human-Centric Digital Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185662","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25185662","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1016/j.ijpharm.2026.126925","name":"A review of the State-of-the-Art: progress in ultrasonic and acoustic techniques for quality assessment in the development and manufacturing of oral solid dosage forms - Part II: Applications and emerging directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2026.126925","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijpharm.2026.126925","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s44455-026-00030-z","name":"Statistical average strain energy density fatigue estimation of strut-based metamaterials via synthetic as-built CAD digital twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44455-026-00030-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44455-026-00030-z","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-025-34822-6","name":"Adaptive robotic arm control through digital twin integration and hybrid neural networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-34822-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-025-34822-6","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s26020613","name":"An Integrated Cyber-Physical Digital Twin Architecture with Quantitative Feedback Theory Robust Control for NIS2-Aligned Industrial Robotics.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020613","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26020613","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3389/fphar.2026.1681040","name":"AI-driven pilot platforms and computational pharmaceutics: accelerating innovation in small molecule drug development under industry 4.0 and 5.0 paradigms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fphar.2026.1681040","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fphar.2026.1681040","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.dib.2026.112673","name":"Deploying the common European manufacturing data space: The UNDERPIN and SM4RTENANCE frameworks' perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112673","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112673","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-026-37315-2","name":"Case study report on design, manufacturing and digital representation of a DED-Arc steel node for construction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-37315-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-37315-2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202602.0947.v1","name":"Comparison of Path Planning Algorithms for Manipulator Robots in Collaborative Manufacturing Environments: An Immersive Virtual Reality-Based Approach","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.0947.v1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.20944/preprints202602.0947.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1371/journal.pone.0331515","name":"A robot scheduling method based on rMAPPO for H-beam riveting and welding work cell.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0331515","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0331515","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3389/fnbot.2026.1796043","name":"Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnbot.2026.1796043","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fnbot.2026.1796043","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.34133/csbj.0078","name":"A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell Culture.","source":"europepmc","abstract":"","url":"https://doi.org/10.34133/csbj.0078","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.34133/csbj.0078","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/s25134153","name":"Construction and Validation of a Digital Twin-Driven Virtual-Reality Fusion Control Platform for Industrial Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25134153","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25134153","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-16439-x","name":"Application of virtual assembly for complex mechanical structures based on digital twin technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-16439-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-16439-x","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s26123810","name":"Modular Framework for Responsive and Explainable Robotic Assistance with Intention Prediction Using Human-Centric Digital Twins.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123810","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123810","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-025-32962-3","name":"Blockchain and digital twin integration for predictive and secure pandemic alerting.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32962-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-32962-3","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1016/j.drudis.2026.104617","name":"Digital twins for accelerating drug discovery and development: opportunities and challenges.","source":"europepmc","abstract":"Digital twins can revolutionize drug development and personalized care by accelerating timelines, reducing costs and failure rates, and potentially improving the safety and efficacy of new therapies. In this review, we explore different applications of digital twins across the pharmaceutical value chain, from target discovery and preclinical research to clinical trials, regulatory review, manufacturing and post-market clinical practice. Key challenges, however, remain in data integration, model reliability, regulatory acceptance and data privacy. Overcoming these barriers will require innovation, transparency and collaborative efforts across the healthcare ecosystem to fully realize digital twin potential for patients, healthcare providers and the pharmaceutical industry.","url":"https://doi.org/10.1016/j.drudis.2026.104617","authors":["Sai Phanindra Venkatapurapu","Lindsay E. Clegg","Andrzej Nowojewski","Holly Kimko","Damilola Olabode","Aarti Sawant-Basak","Karthick Vishwanathan"],"tags":["Drug discovery","Transparency (behavior)","Health care","Key (lock)","Digital health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.drudis.2026.104617","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.dib.2025.112149","name":"Manufacturing data spaces applications in europe - A survey.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2025.112149","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.dib.2025.112149","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s25237177","name":"Methodology of Object Reconstruction by Photogrammetry and Structured-Light Scanning for Industrial 3D Visualisation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25237177","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25237177","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/mco2.70606","name":"CAR-T Cells: Current Status, Challenges, and Future Prospects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/mco2.70606","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/mco2.70606","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/mi16080892","name":"Accurate EDM Calibration of a Digital Twin for a Seven-Axis Robotic EDM System and 3D Offline Cutting Path.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi16080892","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/mi16080892","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.7717/peerj-cs.2892","name":"Modeling and implementation of a real-time digital twin for the Stewart platform with real-time trajectory computation.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj-cs.2892","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.7717/peerj-cs.2892","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-025-09813-2","name":"AI-driven digital twin for autonomous web tension control in Roll-to-Roll manufacturing system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-09813-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-09813-2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/btpr.70058","name":"Use of live digital twin (shadow) soft sensor to monitor membrane degradation in continuous manufacturing single pass tangential flow filtration.","source":"europepmc","abstract":"Digital twins (DT) are sophisticated mathematical models representing real-world physical processes, equipped with predictive capabilities that adapt alongside the physical system. The successful implementation of DT in bioprocessing offers numerous advantages, including enhanced understanding of processes, accelerated overall development timelines, and effective monitoring of critical process parameters (CPPs). A comprehensive end-to-end DT can facilitate informed control decisions and forecast how disturbances within the process may affect the final output, accelerating the overall development timelines while optimizing process efficiency and productivity. Tangential flow filtration (TFF) is a standard methodology in bioprocessing, commonly employed to concentrate and exchange buffers for bioproducts. The advancement of continuous process technologies has led to the emergence of alternative TFF methods, notably single-pass tangential flow filtration (SPTFF), which streamlines the process by eliminating the need for stream recirculation. Here, we present the development of a live DT of the SPTFF concentration step within the downstream continuous manufacturing line for a monoclonal antibody (mAb) process. A live DT, equipped with a state estimation tool, was implemented via the Siemens' gPROMS Digital Applications (gDAP) platform. The DT demonstrated the ability to monitor changes in membrane resistance, a typical process parameter that is not directly measured. This parameter is crucial for SPTFF control, as it allows for the constant setting of the concentration factor (CF) by adjusting the retentate flow rate based on the measured resistance and calculated transmembrane pressure (TMP). This achievement illustrates the potential of DT as effective tools for accurately tracking the complete state of the bioprocess.","url":"https://doi.org/10.1002/btpr.70058","authors":["Robert Taylor","Jasdeep Mandur","Umme Amira","Natalie Al‐Inati","Juan Marin‐Celis","Sean Hatch","Lara Fernandez‐Cerezo","Nuno D. S. Pinto","Efimia Metsi‐Guckel","Tiago Matos","Mark Brower","Krunal K. Mehta"],"tags":["Bioprocess","Process analytical technology","Process engineering","Streamlines, streaklines, and pathlines","Process (computing)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1002/btpr.70058","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma19081533","name":"Novel Materials for Additive Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19081533","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19081533","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1111/jerd.70097","name":"Advances in 3D Printing for Removable Prosthetics-Insights and Perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/jerd.70097","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1111/jerd.70097","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2196/75934","name":"Designing a Digital Twin for the Management of Noncommunicable Diseases: Protocol for a Pilot Study and Methodology Validation.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/75934","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2196/75934","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma18245590","name":"Gas Turbine Blade Failures Repaired Using Laser Metal Additive Remanufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18245590","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18245590","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.5281/zenodo.14230975","name":"INSTAR workshop slides - Cross-Domain Standardisation and Architecture for IoT and Edge Computing.","source":"datacite","abstract":"The Internet of Things (IoT) continues to evolve rapidly, driven by advances in edge computing and swarm intelligence which enables digital innovation across various sectors worldwide, including mobility, energy, agriculture, manufacturing and more. Over the past two decades, IoT and edge computing have emerged as a critical component of the twin Green and Digital transition, revolutionising business models, technological advancements, and service offerings. The advancement of edge computing and its potential to transform various sectors requires a robust and harmonized approach to standardisation across domains. Geopolitical and competitive challenges further underscore the need for a unified approach to IoT standardisation. By fostering collaboration and knowledge sharing, we can navigate these challenges effectively and ensure that European interests are safeguarded in the global IoT landscape. A common angle on standardisation at the international level should be thought of by collaborating with relevant international entities in the definition/creation of international standards in key emerging technologies, shaping the future of industries and technology users worldwide with a special focus on like-minded countries. This joint workshop, organised by the European Commission with the collaboration of CEI-Sphere and INSTAR, aims to reflect on gaps in standardisation across different domains and relevant industry stakeholders, address the critical questions around international standardization activities and the EU involvement in them, foster cross-fertilization between ongoing projects in IoT and edge computing, and facilitate roadmap brainstorming. The workshop aims to promote a common angle on standardisation at the international level by collaborating with relevant international entities in the definition/creation of international standards in key emerging technologies. Key standardisation committees and initiatives, such as ISO/IEC JTC 1/SC 41 (SC41) and SAREF, will be at the forefront of discussions, with a focus on accelerating and streamlining standardization work across projects.","url":"https://doi.org/10.5281/zenodo.14230975","authors":["INSTAR","Suarez, Tanya","Lemke, Max","Mihaylov, Svetoslav","López-Rodríguez, Carlos","Lee, Seungyun","Dávila González, Emilio","Kung, Antonio","Sabella, Dario","Diedrich, Christian","Stein, Johannes","Diedrich, Christian","Filipovic, Damir","Alonso, Daniel","Riemenschneider, Rolf","Takoudis, Giorgios","Gonzalez Cuenca, Isabel","Madsen, Henrik","De Bruyckere, Luka","Roßmann, Martin","Rute, Sofia","Miesen, Philipp","Forsen, Martin","Raggett, Dave","Böhm, Robert","Schmitt, Laurent","Muscella, Silvana","Poustourli, Aikaterini","Hahn, Thomas"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14230975","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14933731","name":"NavCoderr/GGNN-Optimization: GGNN-Based AGV Optimization System","source":"datacite","abstract":"This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN. Comparison with traditional path-planning algorithms (A*, Dijkstra, BFS). Energy efficiency and congestion management optimizations. Integration with Manufacturing Execution Systems (MES) and Transport Management Systems (TMS). High-fidelity digital twin simulation for validation.","url":"https://doi.org/10.5281/zenodo.14933731","authors":["Naveen Sharma"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14933731","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15497435","name":"NavCoderr/GGNN-Optimization: GGNN-Based AGV Optimization System","source":"datacite","abstract":"This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN.Comparison with traditional path-planning algorithms (A*, Dijkstra, BFS).Energy efficiency and congestion management optimizations.Integration with Manufacturing Execution Systems (MES) and Transport Management Systems (TMS).High-fidelity digital twin simulation for validation.100k data","url":"https://doi.org/10.5281/zenodo.15497435","authors":["Naveen Sharma"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15497435","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15497633","name":"NavCoderr/GGNN-Optimization: GGNN-Based AGV Optimization System","source":"datacite","abstract":"This release includes the implementation of a Gated Graph Neural Network (GGNN)-based optimization framework for Automated Guided Vehicles (AGVs) in dynamic industrial environments. Key Features: Real-time task allocation and routing using GGNN.Comparison with traditional path-planning algorithms (A*, Dijkstra, BFS).Energy efficiency and congestion management optimizations.Integration with Manufacturing Execution Systems (MES) and Transport Management Systems (TMS).High-fidelity digital twin simulation for validation.100k data","url":"https://doi.org/10.5281/zenodo.15497633","authors":["Naveen Sharma"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15497633","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2504.18165","name":"PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models","source":"datacite","abstract":"We introduce PerfCam, an open source Proof-of-Concept (PoC) digital twinning framework that combines camera and sensory data with 3D Gaussian Splatting and computer vision models for digital twinning, object tracking, and Key Performance Indicators (KPIs) extraction in industrial production lines. By utilizing 3D reconstruction and Convolutional Neural Networks (CNNs), PerfCam offers a semi-automated approach to object tracking and spatial mapping, enabling digital twins that capture real-time KPIs such as availability, performance, Overall Equipment Effectiveness (OEE), and rate of conveyor belts in the production line. We validate the effectiveness of PerfCam through a practical deployment within realistic test production lines in the pharmaceutical industry and contribute an openly published dataset to support further research and development in the field. The results demonstrate PerfCam's ability to deliver actionable insights through its precise digital twin capabilities, underscoring its value as an effective tool for developing usable digital twins in smart manufacturing environments and extracting operational analytics.","url":"https://doi.org/10.48550/arxiv.2504.18165","authors":["Khan, Michel Gokan","Guarese, Renan","Johnson, Fabian","Wang, Xi Vincent","Bergman, Anders","Edvinsson, Benjamin","Romero, Mario","Vachier, Jérémy","Kronqvist, Jan"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.18165","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15460408","name":"Smarter Semiconductors: How ML Neural Networks Optimize Plasma Etching in Real Time","source":"datacite","abstract":"This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world domains. This version is archived for academic and professional visibility and may be updated in the future based on community feedback or further development. The content was originally published as a technical article on prakashkota.com on May 1, 2025, and has been reformatted into this working paper for citation and archival purposes. Abstract This article presents a machine learning (ML) solution that transforms historical process data into accurate, real-time predictions of plasma etch rates. Utilizing a neural network trained on key operating conditions, the developed surrogate model consistently achieves sub-angstrom error, with over 97% of predictions falling within ±5 Å/min of actual values. The model enables predictive tuning without interrupting production, replacing costly experimentation with fast, data-driven insights. This approach offers semiconductor manufacturers a smarter, faster, and more agile method for process control, allowing them to convert legacy process data into strategic insights, accelerate development cycles, and unlock new efficiencies in plasma-based manufacturing.","url":"https://doi.org/10.5281/zenodo.15460408","authors":["Kota, Prakash"],"tags":["Semiconductor Manufacturing","Plasma Etching","Neural Networks","Process Optimization","Surrogate Modeling","Thin Film Processing","Smart Manufacturing","AI in Semiconductors"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15460408","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15460407","name":"Smarter Semiconductors: How ML Neural Networks Optimize Plasma Etching in Real Time","source":"datacite","abstract":"This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world domains. This version is archived for academic and professional visibility and may be updated in the future based on community feedback or further development. The content was originally published as a technical article on prakashkota.com on May 1, 2025, and has been reformatted into this working paper for citation and archival purposes. Abstract This article presents a machine learning (ML) solution that transforms historical process data into accurate, real-time predictions of plasma etch rates. Utilizing a neural network trained on key operating conditions, the developed surrogate model consistently achieves sub-angstrom error, with over 97% of predictions falling within ±5 Å/min of actual values. The model enables predictive tuning without interrupting production, replacing costly experimentation with fast, data-driven insights. This approach offers semiconductor manufacturers a smarter, faster, and more agile method for process control, allowing them to convert legacy process data into strategic insights, accelerate development cycles, and unlock new efficiencies in plasma-based manufacturing.","url":"https://doi.org/10.5281/zenodo.15460407","authors":["Kota, Prakash"],"tags":["Semiconductor Manufacturing","Plasma Etching","Neural Networks","Process Optimization","Surrogate Modeling","Thin Film Processing","Smart Manufacturing","AI in Semiconductors"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15460407","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15460338","name":"Bringing Historical Process Data to Life: Unlocking AI's Goldmine with Neural Networks for Smarter Manufacturing","source":"datacite","abstract":"This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world domains. This version is archived for academic and professional visibility and may be updated in the future based on community feedback or further development. The content was originally published as a technical article on https://prakashkota.com on March 16, 2025, and has been reformatted into this working paper for citation and archival purposes. Abstract This article explores the potential of leveraging historical process data in manufacturing through the application of machine learning, particularly neural networks. It demonstrates how vast archives of industrial data, often underutilized, can be transformed into predictive models to enhance process optimization, reduce costs, and improve decision-making. By training AI models on existing datasets, manufacturers can achieve real-time insights into product quality and process performance, leading to more efficient and intelligent operations.","url":"https://doi.org/10.5281/zenodo.15460338","authors":["Kota, Prakash"],"tags":["Historical Process Data","Industrial Machine Learning","Predictive Analytics","Process Optimization","Neural Networks","Digital Transformation","Smart Manufacturing","AI in Industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15460338","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15460339","name":"Bringing Historical Process Data to Life: Unlocking AI's Goldmine with Neural Networks for Smarter Manufacturing","source":"datacite","abstract":"This document is a working paper published for early dissemination and public access via Zenodo. It has not undergone formal peer review. The content reflects the author's original technical work, insights, and applied use of machine learning in real-world domains. This version is archived for academic and professional visibility and may be updated in the future based on community feedback or further development. The content was originally published as a technical article on https://prakashkota.com on March 16, 2025, and has been reformatted into this working paper for citation and archival purposes. Abstract This article explores the potential of leveraging historical process data in manufacturing through the application of machine learning, particularly neural networks. It demonstrates how vast archives of industrial data, often underutilized, can be transformed into predictive models to enhance process optimization, reduce costs, and improve decision-making. By training AI models on existing datasets, manufacturers can achieve real-time insights into product quality and process performance, leading to more efficient and intelligent operations.","url":"https://doi.org/10.5281/zenodo.15460339","authors":["Kota, Prakash"],"tags":["Historical Process Data","Industrial Machine Learning","Predictive Analytics","Process Optimization","Neural Networks","Digital Transformation","Smart Manufacturing","AI in Industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15460339","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2505.10902","name":"Patient-Specific Dynamic Digital-Physical Twin for Coronary Intervention Training: An Integrated Mixed Reality Approach","source":"datacite","abstract":"Background and Objective: Precise preoperative planning and effective physician training for coronary interventions are increasingly important. Despite advances in medical imaging technologies, transforming static or limited dynamic imaging data into comprehensive dynamic cardiac models remains challenging. Existing training systems lack accurate simulation of cardiac physiological dynamics. This study develops a comprehensive dynamic cardiac model research framework based on 4D-CTA, integrating digital twin technology, computer vision, and physical model manufacturing to provide precise, personalized tools for interventional cardiology. Methods: Using 4D-CTA data from a 60-year-old female with three-vessel coronary stenosis, we segmented cardiac chambers and coronary arteries, constructed dynamic models, and implemented skeletal skinning weight computation to simulate vessel deformation across 20 cardiac phases. Transparent vascular physical models were manufactured using medical-grade silicone. We developed cardiac output analysis and virtual angiography systems, implemented guidewire 3D reconstruction using binocular stereo vision, and evaluated the system through angiography validation and CABG training applications. Results: Morphological consistency between virtual and real angiography reached 80.9%. Dice similarity coefficients for guidewire motion ranged from 0.741-0.812, with mean trajectory errors below 1.1 mm. The transparent model demonstrated advantages in CABG training, allowing direct visualization while simulating beating heart challenges. Conclusion: Our patient-specific digital-physical twin approach effectively reproduces both anatomical structures and dynamic characteristics of coronary vasculature, offering a dynamic environment with visual and tactile feedback valuable for education and clinical planning.","url":"https://doi.org/10.48550/arxiv.2505.10902","authors":["Wang, Shuo","Ren, Tong","Cheng, Nan","Wang, Rong","Zhang, Li"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.3.8; I.6.8","92C50"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.10902","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15404191","name":"Impact of ArcelorMittal's Sustainability and Digitalization Initiatives on Environmental Performance","source":"datacite","abstract":"This study examines the impact of digitalization and sustainability initiatives on environmental efficiency performance at ArcelorMittal Temirtau, a steel manufacturing company in Kazakhstan. Using an explanatory case study design, the research applies Innovation Diffusion Theory (IDT), Resource-Based View (RBV), and Institutional Theory. Data was collected through a structured questionnaire from 123 employees with at least three years of relevant experience. Statistical analysis, including SEM, CFA, and correlation analysis, was conducted using SPSS and AMOS. Findings indicate that sustainability efforts, particularly collaboration with external stakeholders, are well-received, while employee training needs improvement. Digital transformation enhances production efficiency, decision-making, and waste management, yet training gaps persist. Hypothesis testing reveals that firm capabilities do not significantly benefit from digitalization alone, and institutional pressure does not moderate its environmental impact. However, sustainability efforts, digitalization, and R&D investments contribute positively to environmental outcomes, with internal resources acting as a mediator. The study recommends structured employee training, AI-powered analytics, blockchain-enabled supply chains, and digital twin technologies for optimizing sustainability and operational efficiency. Future research should explore long-term sustainability impacts and industry-specific regulatory responses. The findings provide valuable insights for companies and policymakers aiming to enhance sustainability through digital innovation.","url":"https://doi.org/10.5281/zenodo.15404191","authors":["Shaizat Meiirzhan"],"tags":["sustainability, digitalization, innovation, environmental performance, steel industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15404191","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15404192","name":"Impact of ArcelorMittal's Sustainability and Digitalization Initiatives on Environmental Performance","source":"datacite","abstract":"This study examines the impact of digitalization and sustainability initiatives on environmental efficiency performance at ArcelorMittal Temirtau, a steel manufacturing company in Kazakhstan. Using an explanatory case study design, the research applies Innovation Diffusion Theory (IDT), Resource-Based View (RBV), and Institutional Theory. Data was collected through a structured questionnaire from 123 employees with at least three years of relevant experience. Statistical analysis, including SEM, CFA, and correlation analysis, was conducted using SPSS and AMOS. Findings indicate that sustainability efforts, particularly collaboration with external stakeholders, are well-received, while employee training needs improvement. Digital transformation enhances production efficiency, decision-making, and waste management, yet training gaps persist. Hypothesis testing reveals that firm capabilities do not significantly benefit from digitalization alone, and institutional pressure does not moderate its environmental impact. However, sustainability efforts, digitalization, and R&D investments contribute positively to environmental outcomes, with internal resources acting as a mediator. The study recommends structured employee training, AI-powered analytics, blockchain-enabled supply chains, and digital twin technologies for optimizing sustainability and operational efficiency. Future research should explore long-term sustainability impacts and industry-specific regulatory responses. The findings provide valuable insights for companies and policymakers aiming to enhance sustainability through digital innovation.","url":"https://doi.org/10.5281/zenodo.15404192","authors":["Shaizat Meiirzhan"],"tags":["sustainability, digitalization, innovation, environmental performance, steel industry"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15404192","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15393134","name":"Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection","source":"datacite","abstract":"Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring, anomaly detection, and quality control, it includes over 34,000 individual screw driving operations across six distinct scenarios. Each scenario investigates specific aspects of the screw driving process, from natural wear patterns to controlled material variations. Overview Scenario name Observations Classes Purpose s01_variations-in-thread-degradation 5,000 1 Studies natural degradation of plastic threads over repeated use cycles, documenting wear patterns and failure progression s02_variations-in-surface-friction 12,500 8 Examines effects of different surface conditions (lubricants, surface treatments, contamination) on screw driving performance s03_variations-in-assembly-conditions-1 1,700 26 Investigates diverse component and assembly faults including washer modifications, thread deformations, and alignment issues s04_variations-in-assembly-conditions-2 5,000 25 Features methodically arranged assembly fault conditions in 5 distinct error groups with paired normal/abnormal operations s05_variations-in-upper-workpiece-fabrication 2,400 42 Analyzes how injection molding parameter variations in the upper component affect screw driving metrics s06_variations-in-lower-workpiece-fabrication 7,482 44 Explores effects of injection molding parameter variations in the lower component on fastening quality Experimental Setup Automatic screwing station (EV motor control unit assembly) Delta PT 40x12 screws optimized for thermoplastics Target torque: 1.4 Nm (range: 1.2-1.6 Nm) Sampling frequency: 833.33 Hz Data completeness: >95% Detailed time-series measurements including torque, angle, gradient, and time values Dataset Features These datasets are suitable for various research purposes. Each ZIP file contains: Complete raw data in JSON format for maximum flexibility Standardized labels.csv files for metadata and classification Comprehensive README.md documentation for each scenario Various error classes with varying degrees of severity Time series data for the complete screwing process Research Applications Development of machine learning models for anomaly detection Process monitoring and quality control system development Manufacturing analytics and parameter optimization Digital twin development for screw driving operations Material property influences on assembly processes Access and Usage For data handling, we recommend our PyScrew Python package (https://github.com/nikolaiwest/pyscrew). However, this is optional: The data is easily accessible using standard JSON and CSV processing. No changes were made to the raw data and all information on the experiments can be found in the labels.csv file. Citation Request When using this dataset in academic work, please cite this project or the mentioned papers from the README.md files. Contact and Support For questions, issues, or collaboration interests regarding these datasets, either: Open an issue in our GitHub repository PyScrew Contact us directly via email Acknowledgments These datasets were collected and prepared by: RIF Institute for Research and Transfer e.V. Technical University Dortmund, Institute for Production Systems The preparation and provision of the research was supported by: German Ministry of Education and Research (BMBF) European Union's \"NextGenerationEU\" program The research is part of this funding program More information regarding the research project is available here","url":"https://doi.org/10.5281/zenodo.15393134","authors":["West, Nikolai","Deuse, Jochen"],"tags":["Manufacturing Data","Screw Driving Operations","Tightening Process","Anomaly Detection","Time Series Data","Quality Control","Process Monitoring","Machine Learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15393134","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15273503","name":"Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection","source":"datacite","abstract":"Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring, anomaly detection, and quality control, it includes over 34,000 individual screw driving operations across six distinct scenarios. Each scenario investigates specific aspects of the screw driving process, from natural wear patterns to controlled material variations. Overview Scenario name Observations Classes Purpose s01_variations-in-thread-degradation 5,000 1 Studies natural degradation of plastic threads over repeated use cycles, documenting wear patterns and failure progression s02_variations-in-surface-friction 12,500 8 Examines effects of different surface conditions (lubricants, surface treatments, contamination) on screw driving performance s03_variations-in-assembly-conditions-1 1,800 27 Investigates diverse component and assembly faults including washer modifications, thread deformations, and alignment issues s04_variations-in-assembly-conditions-2 5,000 25 Features methodically arranged assembly fault conditions in 5 distinct error groups with paired normal/abnormal operations s05_variations-in-upper-workpiece-fabrication 2,400 42 Analyzes how injection molding parameter variations in the upper component affect screw driving metrics s06_variations-in-lower-workpiece-fabrication 7,482 44 Explores effects of injection molding parameter variations in the lower component on fastening quality Experimental Setup Automatic screwing station (EV motor control unit assembly) Delta PT 40x12 screws optimized for thermoplastics Target torque: 1.4 Nm (range: 1.2-1.6 Nm) Sampling frequency: 833.33 Hz Data completeness: >95% Detailed time-series measurements including torque, angle, gradient, and time values Dataset Features These datasets are suitable for various research purposes. Each ZIP file contains: Complete raw data in JSON format for maximum flexibility Standardized labels.csv files for metadata and classification Comprehensive README.md documentation for each scenario Various error classes with varying degrees of severity Time series data for the complete screwing process Research Applications Development of machine learning models for anomaly detection Process monitoring and quality control system development Manufacturing analytics and parameter optimization Digital twin development for screw driving operations Material property influences on assembly processes Access and Usage For data handling, we recommend our PyScrew Python package (https://github.com/nikolaiwest/pyscrew). However, this is optional: The data is easily accessible using standard JSON and CSV processing. No changes were made to the raw data and all information on the experiments can be found in the labels.csv file. Citation Request When using this dataset in academic work, please cite this project or the mentioned papers from the README.md files. Contact and Support For questions, issues, or collaboration interests regarding these datasets, either: Open an issue in our GitHub repository PyScrew Contact us directly via email Acknowledgments These datasets were collected and prepared by: RIF Institute for Research and Transfer e.V. Technical University Dortmund, Institute for Production Systems The preparation and provision of the research was supported by: German Ministry of Education and Research (BMBF) European Union's \"NextGenerationEU\" program The research is part of this funding program More information regarding the research project is available here","url":"https://doi.org/10.5281/zenodo.15273503","authors":["West, Nikolai","Deuse, Jochen"],"tags":["Manufacturing Data","Screw Driving Operations","Tightening Process","Anomaly Detection","Time Series Data","Quality Control","Process Monitoring","Machine Learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15273503","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15123922","name":"Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection","source":"datacite","abstract":"Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring, anomaly detection, and quality control, it includes over 34,000 individual screw driving operations across six distinct scenarios. Each scenario investigates specific aspects of the screw driving process, from natural wear patterns to controlled material variations. Overview Scenario name Observations Classes Purpose s01_variations-in-thread-degradation 5,000 1 Studies natural degradation of plastic threads over repeated use cycles, documenting wear patterns and failure progression s02_variations-in-surface-friction 12,500 8 Examines effects of different surface conditions (lubricants, surface treatments, contamination) on screw driving performance s03_variations-in-assembly-conditions-1 1,800 27 Investigates diverse component and assembly faults including washer modifications, thread deformations, and alignment issues s04_variations-in-assembly-conditions-2 5,000 25 Features methodically arranged assembly fault conditions in 5 distinct error groups with paired normal/abnormal operations s05_variations-in-upper-workpiece-fabrication 2,400 42 Analyzes how injection molding parameter variations in the upper component affect screw driving metrics s06_variations-in-lower-workpiece-fabrication 7,482 44 Explores effects of injection molding parameter variations in the lower component on fastening quality Experimental Setup Automatic screwing station (EV motor control unit assembly) Delta PT 40x12 screws optimized for thermoplastics Target torque: 1.4 Nm (range: 1.2-1.6 Nm) Sampling frequency: 833.33 Hz Data completeness: >95% Detailed time-series measurements including torque, angle, gradient, and time values Dataset Features These datasets are suitable for various research purposes. Each ZIP file contains: Complete raw data in JSON format for maximum flexibility Standardized labels.csv files for metadata and classification Comprehensive README.md documentation for each scenario Various error classes with varying degrees of severity Time series data for the complete screwing process Research Applications Development of machine learning models for anomaly detection Process monitoring and quality control system development Manufacturing analytics and parameter optimization Digital twin development for screw driving operations Material property influences on assembly processes Access and Usage For data handling, we recommend our PyScrew Python package (https://github.com/nikolaiwest/pyscrew). However, this is optional: The data is easily accessible using standard JSON and CSV processing. No changes were made to the raw data and all information on the experiments can be found in the labels.csv file. Citation Request When using this dataset in academic work, please cite this project or the mentioned papers from the README.md files. Contact and Support For questions, issues, or collaboration interests regarding these datasets, either: Open an issue in our GitHub repository PyScrew Contact us directly via email Acknowledgments These datasets were collected and prepared by: RIF Institute for Research and Transfer e.V. Technical University Dortmund, Institute for Production Systems The preparation and provision of the research was supported by: German Ministry of Education and Research (BMBF) European Union's \"NextGenerationEU\" program The research is part of this funding program More information regarding the research project is available here","url":"https://doi.org/10.5281/zenodo.15123922","authors":["West, Nikolai","Deuse, Jochen"],"tags":["Manufacturing Data","Screw Driving Operations","Tightening Process","Anomaly Detection","Time Series Data","Quality Control","Process Monitoring","Machine Learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15123922","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2505.04324","name":"Towards Federated Digital Twin Platforms","source":"datacite","abstract":"Digital Twin (DT) technology has become rather popular in recent years, promising to optimize production processes, manage the operation of cyber-physical systems, with an impact spanning across multiple application domains (e.g., manufacturing, robotics, space etc.). DTs can include different kinds of assets, e.g., models, data, which could potentially be reused across DT projects by multiple users, directly affecting development costs, as well as enabling collaboration and further development of these assets. To provide user support for these purposes, dedicated DT frameworks and platforms are required, that take into account user needs, providing the infrastructure and building blocks for DT development and management. In this demo paper, we show how the DT as a Service (DTaaS) platform has been extended to enable a federated approach to DT development and management, that allows multiple users across multiple instances of DTaaS to discover, reuse, reconfigure, and modify existing DT assets.","url":"https://doi.org/10.48550/arxiv.2505.04324","authors":["Frasheri, Mirgita","Talasila, Prasad","Scherma, Vanessa"],"tags":["Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.04324","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2505.04323","name":"A Case Study on the Application of Digital Twins for Enhancing CPS Operations","source":"datacite","abstract":"To ensure the availability and reduce the downtime of complex cyber-physical systems across different domains, e.g., agriculture and manufacturing, fault tolerance mechanisms are implemented which are complex in both their development and operation. In addition, cyber-physical systems are often confronted with limited hardware resources or are legacy systems, both often hindering the addition of new functionalities directly on the onboard hardware. Digital Twins can be adopted to offload expensive computations, as well as providing support through fault tolerance mechanisms, thus decreasing costs and operational downtime of cyber-physical systems. In this paper, we show the feasibility of a Digital Twin used for enhancing cyber-physical system operations, specifically through functional augmentation and increased fault tolerance, in an industry-oriented use case.","url":"https://doi.org/10.48550/arxiv.2505.04323","authors":["Muntean, Irina","Frasheri, Mirgita","Munaro, Tiziano"],"tags":["Robotics (cs.RO)","Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.04323","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2505.01215","name":"A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model","source":"datacite","abstract":"Digital twins, integral to cloud platforms, bridge physical and virtual worlds, fostering collaboration among stakeholders in manufacturing and processing. However, the cloud platforms face challenges like service outages, vulnerabilities, and resource contention, hindering critical digital twin application development. The existing research works have limited focus on reliability and fault tolerance in digital twin processing. In this context, this paper proposed a novel Self-healing and Faulttolerant cloud-based Digital Twin processing Management (SF-DTM) model. It employs collaborative digital twin tasks resource requirement estimation unit which utilizes newly devised Federated learning with cosine Similarity integration (SimiFed). Further, SF-DTM incorporates a self-healing fault-tolerance strategy employing a frequent sequence fault-prone pattern analytics unit for deciding the most admissible VM allocation. The implementation and evaluation of SF-DTM model using real traces demonstrates its effectiveness and resilience, revealing improved availability, higher Mean Time Between Failure (MTBF), and lower Mean Time To Repair (MTTR) compared with non-SF-DTM approaches, enhancing collaborative DT application management. SF-DTM improved the services availability up to 13.2% over non-SF-DTM-based DT processing.","url":"https://doi.org/10.48550/arxiv.2505.01215","authors":["Saxena, Deepika","Singh, Ashutosh Kumar"],"tags":["Distributed, Parallel, and Cluster Computing (cs.DC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.01215","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15333561","name":"A Review Article On: An Approach Towards Plant Layout","source":"datacite","abstract":"The layout of a pharmaceutical plant is very important because it affects the efficiency, safety, and quality of drug production. A good design helps improve the flow of materials, reduce the risk of contamination, meet regulations, and ensure smooth operations. This not only boosts productivity but also ensures that the plant follows Good Manufacturing Practices (GMP) Pharmaceutical plant layouts are usually divided into three types: product layout, process layout, and cellular layout. A process layout organizes equipment based on specific production steps, making it ideal for small or flexible production runs. A product layout arranges equipment in a straight line based on the production sequence, which is best for high-volume production of one product. The cellular layout combines the benefits of both process and product layouts and is often used for similar product families. Designing a pharmaceutical plant layout can be challenging due to limited space, strict regulations, and the need for advanced technology. However, there are new innovations in the industry, such as automation, modular designs, and digital twin technology. These innovations improve flexibility, efficiency, and cost-effectiveness. Modular designs, in particular, allow companies to quickly adapt to market changes by using pre-built modules that can be easily adjusted or expanded.","url":"https://doi.org/10.5281/zenodo.15333561","authors":["Gaurav Tambe*, Sayali Thete, Tanushka Tambe, Prachi Vadak, Dr. S. D. Mankar"],"tags":["Layout, Dosage Form, Plant Location, Industry."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15333561","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15333562","name":"A Review Article On: An Approach Towards Plant Layout","source":"datacite","abstract":"The layout of a pharmaceutical plant is very important because it affects the efficiency, safety, and quality of drug production. A good design helps improve the flow of materials, reduce the risk of contamination, meet regulations, and ensure smooth operations. This not only boosts productivity but also ensures that the plant follows Good Manufacturing Practices (GMP) Pharmaceutical plant layouts are usually divided into three types: product layout, process layout, and cellular layout. A process layout organizes equipment based on specific production steps, making it ideal for small or flexible production runs. A product layout arranges equipment in a straight line based on the production sequence, which is best for high-volume production of one product. The cellular layout combines the benefits of both process and product layouts and is often used for similar product families. Designing a pharmaceutical plant layout can be challenging due to limited space, strict regulations, and the need for advanced technology. However, there are new innovations in the industry, such as automation, modular designs, and digital twin technology. These innovations improve flexibility, efficiency, and cost-effectiveness. Modular designs, in particular, allow companies to quickly adapt to market changes by using pre-built modules that can be easily adjusted or expanded.","url":"https://doi.org/10.5281/zenodo.15333562","authors":["Gaurav Tambe*, Sayali Thete, Tanushka Tambe, Prachi Vadak, Dr. S. D. Mankar"],"tags":["Layout, Dosage Form, Plant Location, Industry."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15333562","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17185/duepublico/78302","name":"Konzept zur Digitalen Transformation für den Automotive Aftersales unter Fokussierung des Digitalen Zwillings und interaktiver Nutzerschnittstellen","source":"datacite","abstract":"Der rasche globale Wandel in der Politik, Umwelt und Gesellschaft, ein sich änderndes Kundenbild und die steigende technische Komplexität beim Umstieg von konventionellen Antriebskonzepten mit Verbrennungsmotoren auf elektrische Fahrzeuge und nicht zuletzt auch die Covid-19-Pandemie sind nur einige treibende externe Faktoren, welche direkte Auswirkungen auf die Automobilindustrie und deren Akteure haben. Dabei hat insbesondere der Automotive Aftersales mit einer gravierenden Veränderung bisheriger Geschäftsprozesse und einer starken Transformation umzugehen. Einerseits müssen die teils sehr geringen Margen im Endproduktgeschäft von produzierenden Unternehmen durch den After Sales Service kompensiert werden, andererseits müssen sich unabhängige Dienstleister auf dem Markt gegen neue Konkurrenten im Wettbewerb behaupten. Ziel dieser Dissertation ist die Erarbeitung eines Konzeptes, unter dessen Verwendung sich die Akteure des Automotive Aftersales diesem Wandel entgegenstellen können, mit der Intention, auch zukünftig handlungsfähig zu sein und profitabel agieren zu können. Hierzu erfolgt die Konzepterstellung unter Einhaltung des übergeordneten Lösungsraumes der Digitalen Transformation. Vorgelagert werden Werkzeuge wie auch Nutzerschnittstellen, welche sich zur Umsetzung der Digitalen Transformation eignen, vorgestellt. Auch erfolgt ein Einblick in die Akteure des Automotive After Sales, dessen Umfeld und intern wie auch extern getriebene Entwicklungen. Unter Verwendung des Zwiebelprinzips erfolgt eine Verdichtung dieser Informationen unter der Beachtung von Dependenzen und Wechselwirkungen hin zur Ableitung eines Konzeptes. Dieses besteht dabei aus einem Kernbaustein, welcher einen unternehmensübergreifenden Digitalen Zwilling beschreibt, der in Kombination mit einem Serviceportal als Verwaltungsschale auftritt. Ebenso erfolgt im Konzept eine Anbindung an bereits bestehende Lösungsräume. Die innovativen Nutzerschnittstellen Extended Reality sowie die Generative Fertigung ergänzen das Konzept. Zur Validierung des Konzeptes wird eine prototypische Umsetzung vorgenommen. Da eine komplette Realisierung den Rahmen dieser Arbeit sprengen würde, wird die Gültigkeit des Konzeptes durch die Realisierung ausgewählter Komponenten nachgewiesen. Dafür werden verschiedene Akteure des Aftersales hinsichtlich einer Implementierung eines Teilaspektes des Konzeptes näher betrachtet. Die Teilnehmer sind dabei so gewählt, dass sich Rückschlüsse auf die Sinnhaftigkeit des Gesamtkonzeptes ziehen und zudem auch Hürden bei der Konzeptumsetzung identifizieren lassen. Für die exemplarische Umsetzung des Konzeptes wird in einem ersten Schritt die Erstellung eines Digitalen Zwillings mit einem Serviceportal als Verwaltungsschale realisiert. Es erfolgt eine Anwendung dieser zur Optimierung des Prozesses einer Hauptuntersuchung unter Verwendung eines Mixed Reality Devices sowie zur Optimierung der Ersatzteileversorgung mit Fokus auf die Generative Fertigung. Zusammenfassend liefert die Dissertation mit dem Konzept zur Digitalen Transformation einen Ansatz, welcher etablierte Akteure des Automotive Aftersales unterstützt, sich auf ein sich wandelndes Umfeld und damit verbundenen Herausforderungen einzustellen. Sinnvoll ist die schrittweise wie auch die bedarfsabhängige Umsetzung des Konzeptes. So können je nach Unternehmensgröße und Tätigkeitsbranche Teilaspekte des Konzeptes eingeführt und mit weiteren Anwendungsfällen oder unternehmensspezifischen Modulen sukzessive dem Gesamtsystem hinzugefügt werden.","url":"https://doi.org/10.17185/duepublico/78302","authors":["Krause, Carsten"],"tags":["620"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.17185/duepublico/78302","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17185/duepublico/74146","name":"Untersuchung der intra- und interlaminaren mechanischen Eigenschaften von faserverstärkten und flammgeschützten Polyamiden im Kontext der extrusionsbasierten Additiven Fertigung","source":"datacite","abstract":"Die Additive Fertigung hat sich ausgehend von einem Prototyping Verfahren hin zu einem serienfähigen Fertigungsverfahren entwickelt, das von der Automobilbranche bis hin zur Luftfahrtindustrie vielfältige Geschäftsfelder bedient. Im Gegensatz zu den subtraktiven Verfahren wird die Bauteilgeometrie bei der additiven Fertigung durch das geometrisch definierte Auf- und Aneinanderfügen von einzelnen Volumenelementen aus der gasförmigen, flüssigen oder festen Phase hergestellt. Das metallische oder polymere Ausgangsmaterial liegt dabei größtenteils in flüssiger, pulverförmiger oder strangförmiger Form vor und wird durch Energieeinwirkung vernetzt, versintert oder verschmolzen. Einerseits bietet die additive Fertigung aufgrund der werkzeuglosen Herstellung, den Möglichkeiten der Funktionsintegration, der Kundenindividualisierung, des Leichtbaupotenzials, der höheren Geometrie- und Designfreiheit sowie den von der Bauteilkomplexität und Stückzahl weitgehend unabhängigen Kosten viele Vorteile. Andererseits hindern bisher sehr hohe Materialkosten, unzureichende mechanische und flammwidrige Bauteileigenschaften mit ausgeprägter Abhängigkeit vom Fertigungsprozess, ein erhöhtes Anisotropieverhalten, fehlende Standardisierung- und Zertifizierungsmodalitäten, hohe manuelle Aufwände und eine diskontinuierliche digitale Prozesskette die industrielle Durchsetzung und flächendeckende Implementierung dieser Technologie. Anhand der Materialextrusion werden gemäß dem Stand der Technik die Potenziale gegenüber einem serienfähigen und industriellen Zielprozess aufgedeckt und quantifiziert. Als Reaktion auf die vergleichsweise niedrigen intra- und interlaminaren Bauteileigenschaften und den unzureichenden Flammschutz werden basierend auf zertifizierten Standardgranulaten und konventionellen Faserhalbzeugen Filamente entwickelt und hergestellt, die aufgrund ihrer eingearbeiteten Kurz- oder Endlosfaserverstärkung die Bedürfnisse eines industriellen Einsatzzweckes erfüllen. Die Herstellung der Filamente auf Basis von Faserbündeln und Hybridgarnen erfolgt durch die Erweiterung und Modifikation einer Druckummantelungsanlage. Die Filamente werden mit Flammschutzmitteln additiviert und bei einer Prüfkörperstärke von 1,0 mm nach UL‑94 V0 qualifiziert, um auch den sicherheitskritischen Einsatz in der Bahnbranche zu ermöglichen. Für die Verarbeitung der Filamente wird auf der Grundlage industrieller Automatisierungskomponenten eine skalierbare 5‑achsige Maschine konstruiert und aufgebaut, die ihre Prozess- und Bahndaten aus einer durchgängigen und digitalen Prozesskette bezieht. Die Entwicklung und Implementierung der integrierten CAx-Prozesskette mitsamt dem Postprozessor fußt auf den bewährten Möglichkeiten subtraktiver Technologien und wird für die Belange der Additiven Fertigung spezifisch programmiert. Anhand der Versuchs- und Messdaten von flammgeschützten und teils glasfaserverstärkten Polyamidprüfkörpern, die nach DIN EN ISO 527‑2 Typ 1A hergestellt werden, wird in Abhängigkeit der Fertigungsparameter bezogen auf die Vorzugsrichtung gezeigt, dass die Spannweite der mittleren Elastizitätsmoduln bis zu 39 % und die der mittleren Zugfestigkeiten bis zu 56 % beträgt. Außerdem wird nachgewiesen, dass mit nominal 20 % Massenanteil Kurzglasfasern je nach flammgeschützter Polyamidmatrix die mittlere Zugfestigkeit um bis zu 33 % und der mittlere Elastizitätsmodul um bis zu 98 % gesteigert wird. Der maximale, mittlere Elastizitätsmodul in Höhe von 12,6 GPa und die maximale, mittlere Zugfestigkeit in Höhe von 146 MPa wird bei Polyamid 6 gemessen, das mit nominal 20 % Massenanteil Kurzcarbonfasern verstärkt ist. Bei den eigens entwickelten Endlosglasfaserfilamenten wird bei einem Faservolumenanteil von ca. 22 % ein Elastizitätsmodul in Höhe von 17,2 GPa und eine Festigkeit von 244 MPa gemessen, wodurch gegenüber den jeweils berechneten Werten vor allem bei der Festigkeit deutliche Einbußen festgestellt werden. Die daraus hergestellten Prüfkörper weisen einen mittl","url":"https://doi.org/10.17185/duepublico/74146","authors":["Kühn, Cornelius"],"tags":["Generative Fertigung","Additive Fertigung","AF","Additive manufacturing","AM","3D-Druck","3D-printing","Material Extrusion"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.17185/duepublico/74146","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.1184/r1/28912286.v1","name":"Investigation of Ti-6Al-4V Microstructure Development with Variable Cooling Rates in Laser Powder Bed Fusion","source":"datacite","abstract":"Ti-6Al-4V is an alloy that can develop numerous possible morphologies that are all highly dependent on the temperature history the material experiences. Laser powder-bed fusion (LPBF) can be used to create unique parts with high resolution from Ti-6Al-4V, but also introduces complex thermal histories and very high cooling rates that can create varied microstructure. Prior work has established parameters for fully dense parts in LPBF, however even with fully dense parts, the resulting mechanical properties can be impacted by the unusual microstructure that develops in the process window. This study examined the microstructure of fatigue samples for a broad series of printing parameters to further the analysis of fatigue results conducted by the NASA University Leadership Initiative. Additionally, a novel experimental part was developed by this group to intentional induce an elevated temperature through heat accumulation during the printing process. This part is called the “inverted pyramid“, and extensive analysis of the different conditions for microstructure development has been done with scanning electron microscopy, X-ray diffraction, microhardness, polarized light microscopy, and electron backscatter diffraction. Two inverted pyramids were printed, one of which had additional delay time between layers so that less heat would accumulate. SEM micrographs of both fatigue bar samples and the inverted pyramid samples revealed martensitic α’ morphology in the final parts. Initial SEM micrographs of fatigue bars with a relatively slow laser scan speed showed diffusional α lath structure. In the inverted pyramid that had higher heat accumulation, SEM micrographs and X-ray diffraction showed diffusional α lath structure where the temperature was highest. Polarized light microscopy of the inverted pyramids revealed that the higher temperature pyramid had significant coarsening of grain boundary α. A thermal simulation was also performed for the inverted pyramids to confirm the heat accumulation and provide thermal histories for predicting the morphological development. The temperature histories from the thermal simulation were used as input for a model that calculates Ti-6Al-4V morphological development to predict the expected microstructure. Comparison of the calculated cooling rate from the thermal simulation with the microstructure results suggests that more details besides cooling rate may be needed to predict the morphology fractions. Comparison between the predictions and physical observations help to qualify the microstructure model which can further aid in the development of a digital twin framework for additive manufacturing.","url":"https://doi.org/10.1184/r1/28912286.v1","authors":["Adcock, Evan"],"tags":["Engineering","Materials engineering","FOS: Materials engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1184/r1/28912286.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.1184/r1/28912286","name":"Investigation of Ti-6Al-4V Microstructure Development with Variable Cooling Rates in Laser Powder Bed Fusion","source":"datacite","abstract":"Ti-6Al-4V is an alloy that can develop numerous possible morphologies that are all highly dependent on the temperature history the material experiences. Laser powder-bed fusion (LPBF) can be used to create unique parts with high resolution from Ti-6Al-4V, but also introduces complex thermal histories and very high cooling rates that can create varied microstructure. Prior work has established parameters for fully dense parts in LPBF, however even with fully dense parts, the resulting mechanical properties can be impacted by the unusual microstructure that develops in the process window. This study examined the microstructure of fatigue samples for a broad series of printing parameters to further the analysis of fatigue results conducted by the NASA University Leadership Initiative. Additionally, a novel experimental part was developed by this group to intentional induce an elevated temperature through heat accumulation during the printing process. This part is called the “inverted pyramid“, and extensive analysis of the different conditions for microstructure development has been done with scanning electron microscopy, X-ray diffraction, microhardness, polarized light microscopy, and electron backscatter diffraction. Two inverted pyramids were printed, one of which had additional delay time between layers so that less heat would accumulate. SEM micrographs of both fatigue bar samples and the inverted pyramid samples revealed martensitic α’ morphology in the final parts. Initial SEM micrographs of fatigue bars with a relatively slow laser scan speed showed diffusional α lath structure. In the inverted pyramid that had higher heat accumulation, SEM micrographs and X-ray diffraction showed diffusional α lath structure where the temperature was highest. Polarized light microscopy of the inverted pyramids revealed that the higher temperature pyramid had significant coarsening of grain boundary α. A thermal simulation was also performed for the inverted pyramids to confirm the heat accumulation and provide thermal histories for predicting the morphological development. The temperature histories from the thermal simulation were used as input for a model that calculates Ti-6Al-4V morphological development to predict the expected microstructure. Comparison of the calculated cooling rate from the thermal simulation with the microstructure results suggests that more details besides cooling rate may be needed to predict the morphology fractions. Comparison between the predictions and physical observations help to qualify the microstructure model which can further aid in the development of a digital twin framework for additive manufacturing.","url":"https://doi.org/10.1184/r1/28912286","authors":["Adcock, Evan"],"tags":["Engineering","Materials engineering","FOS: Materials engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1184/r1/28912286","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/gtvvwmz7r7","name":"CNC Machining Data Repository - Geometry, NC Code &amp; High-Frequency Energy Consumption Data for Aluminum and Plastic Machining","source":"datacite","abstract":"In the field of manufacturing, high-quality datasets are essential for optimizing production processes, improving energy efficiency, and developing predictive maintenance strategies. This repository introduces a comprehensive CNC machining data repository that includes three key data categories: (1) product geometry data, (2) NC code data, and (3) high frequency energy consumption data. This dataset is particularly valuable for researchers and engineers working in manufacturing analytics, energy-efficient machining, and machine learning applications in smart manufacturing. Potential use cases include optimizing machining parameters for energy reduction, predicting tool wear based on power consumption patterns, and enhancing digital twin models with real-world machining data. By making this dataset publicly available, we aim to support the development of data-driven solutions in modern manufacturing and facilitate benchmarking efforts across different machining strategies.","url":"https://doi.org/10.17632/gtvvwmz7r7","authors":["Brillinger, Markus"],"tags":["Manufacturing Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.17632/gtvvwmz7r7","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15286624","name":"Supplementary Data for: Digital Twins in Manufacturing: A Systematic Literature Review with Retrieval-Augmented Generation","source":"datacite","abstract":"Abstract The paper presents a systematic literature review on the use of digital twins in manufacturing, with the goal of developing a comprehensive taxonomy that synthesizes existing categorizations. Given the increasing complexity and volume of literature in this domain, conventional review methods are becoming insufficient. To address this challenge, the study applies Retrieval-Augmented Generation, a technique that combines large language models with real-time information retrieval, enabling the automated identification and summarization of typologies across a broad corpus of publications. A total of 1,354 publications were initially screened, leading to 144 distinct categorizations relevant to digital twins in industrial contexts. The resulting taxonomy classifies digital twins along multiple dimensions, including life cycle stages, physical domain and hierarchy levels, model characteristics, digital thread connectivity, deployment strategies, and functional autonomy. This multidimensional framework distinguishes between digital templates, digital twin prototypes, and operational digital twins or shadows, and includes specific domains such as product, process, environment, and human interaction. Furthermore, it accounts for varying levels of model fidelity and autonomy, from descriptive to fully autonomous systems. This work provides both researchers and practitioners with a structured approach to understanding and implementing digital twins in manufacturing environments. The taxonomy serves as a foundation for future research and as a practical tool for industrial applications. Supplementary Data This Supplementary Data contains an .xlsx file, which gives Details about the Liteature Research. The Sheet \"Summary\" contains the AI Categorization and the AI Summary for every paper. Since four different hyperparameter combinations where used, this sheet summarizes the distinguished sheets, which where created by the RAG-Framework. Furthermore, it contains the results of the Summary Check, where the paper was checked by a human while only considering the AI-Summary. During the Detail Check, the complete paper was considered and a preliminary dimension and categories for the categorization created in the paper are stated. Both Checks contain inlude- and exclude criteria. The Column \"Validation\" contains a check, where 10 random papers in which the AI has not found a Categorization, whre checked in Detail if they really don´t contain a categorization. \"Comparison to Fulltext\" Contains the result of a fulltext-search for the keywords \"Taxonomy\", \"Categorization\", \"Classification\", and \"Typology\", while only papers not found by the AI are considered. It furthermore contains a detail check, if the paper contains a categorization of digital twins. The Sheet \"Include - Exclude\" contains a Summary of the include- and exclude-criteria.","url":"https://doi.org/10.5281/zenodo.15286624","authors":["Seipolt, Arne"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15286624","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.57760/sciencedb.02528","name":"MCB manufacturing parameter data","source":"datacite","abstract":"Digital twin data can be classified into resource data, operation data, scheduling data, working condition data, order data, and system data for MCB manufacturing parameter data","url":"https://doi.org/10.57760/sciencedb.02528","authors":["Jinhua Xiao"],"tags":["Information and systems science related engineering and technology","resource data","scheduling data","order data"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.57760/sciencedb.02528","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15268640","name":"Future-Focused Turnkey Solutions for Industry – 2025","source":"datacite","abstract":"The industrial sector is undergoing significant transformation in 2025, with businesses seeking more efficient, cost-effective, and innovative solutions. One of the standout approaches driving this change is the growing reliance on turnkey solutions. These comprehensive services, offered by turnkey contractors in Chennai and other global hubs, provide a one-stop solution for complex industrial projects. As industries look towards streamlining operations, improving sustainability, and adopting the latest technologies, turnkey contractors are more integral than ever in ensuring that these projects are completed successfully and efficiently. What Are Turnkey Solutions? Turnkey solutions are all-encompassing services offered by contractors, wherein they take full responsibility for the planning, design, construction, and execution of a project. In the industrial sector, turnkey contractors handle everything from initial consultations to final project delivery, ensuring that all aspects of a project are integrated and aligned with the client's goals. These contractors deliver a fully functional end-product, which means clients can move forward without worrying about additional work or unexpected costs. In 2025, these solutions are becoming even more vital due to the increasing complexity of industrial operations. With industries focusing on automation, digitalization, and sustainability, turnkey contractors in Chennai and other industrial hubs are adopting innovative practices to ensure that the projects they deliver meet modern requirements and future-proof standards. Key Drivers of Turnkey Solutions in 2025 Technological Advancements: The rise of digital technologies, including IoT (Internet of Things), AI, and advanced manufacturing processes, is reshaping the industrial sector. Turnkey contractors are now integrating cutting-edge technologies into their solutions, enabling businesses to optimize their operations. These advancements allow for real-time data collection, predictive maintenance, and improved operational efficiency, providing clients with more value and better long-term outcomes. Sustainability and Green Building Practices: Environmental concerns have pushed industries to adopt more sustainable practices. Turnkey contractors are responding by incorporating green building standards, energy-efficient systems, and eco-friendly materials into their projects. By leveraging renewable energy sources and eco-conscious designs, these contractors ensure that projects not only meet industry standards but also contribute to sustainability goals, reducing the environmental footprint of industrial facilities. Cost Efficiency: One of the biggest advantages of turnkey solutions is their ability to reduce overall project costs. By offering a single point of contact for all aspects of a project, turnkey contractors streamline processes, reduce the need for multiple subcontractors, and cut down on overhead costs. This approach ensures that projects are completed on time and within budget, which is crucial for businesses aiming to maximize profitability while minimizing risks. Faster Project Delivery: Time is a critical factor in any industrial project. Delays can lead to significant financial losses and missed market opportunities. Turnkey contractors help mitigate these risks by ensuring that all aspects of the project are coordinated from the start. The integrated approach reduces delays, as the contractor oversees all phases of the project. The ability to deliver faster is one of the key trends for 2025, as industries demand quicker turnaround times to remain competitive. Customization and Flexibility: Each industrial project is unique, and turnkey contractors are increasingly offering customized solutions tailored to meet specific client needs. In 2025, clients are looking for highly personalized services that can accommodate the unique challenges of their industries. Whether it's adjusting to new market conditions, integrating sp","url":"https://doi.org/10.5281/zenodo.15268640","authors":["Gokulparam"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15268640","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15268641","name":"Future-Focused Turnkey Solutions for Industry – 2025","source":"datacite","abstract":"The industrial sector is undergoing significant transformation in 2025, with businesses seeking more efficient, cost-effective, and innovative solutions. One of the standout approaches driving this change is the growing reliance on turnkey solutions. These comprehensive services, offered by turnkey contractors in Chennai and other global hubs, provide a one-stop solution for complex industrial projects. As industries look towards streamlining operations, improving sustainability, and adopting the latest technologies, turnkey contractors are more integral than ever in ensuring that these projects are completed successfully and efficiently. What Are Turnkey Solutions? Turnkey solutions are all-encompassing services offered by contractors, wherein they take full responsibility for the planning, design, construction, and execution of a project. In the industrial sector, turnkey contractors handle everything from initial consultations to final project delivery, ensuring that all aspects of a project are integrated and aligned with the client's goals. These contractors deliver a fully functional end-product, which means clients can move forward without worrying about additional work or unexpected costs. In 2025, these solutions are becoming even more vital due to the increasing complexity of industrial operations. With industries focusing on automation, digitalization, and sustainability, turnkey contractors in Chennai and other industrial hubs are adopting innovative practices to ensure that the projects they deliver meet modern requirements and future-proof standards. Key Drivers of Turnkey Solutions in 2025 Technological Advancements: The rise of digital technologies, including IoT (Internet of Things), AI, and advanced manufacturing processes, is reshaping the industrial sector. Turnkey contractors are now integrating cutting-edge technologies into their solutions, enabling businesses to optimize their operations. These advancements allow for real-time data collection, predictive maintenance, and improved operational efficiency, providing clients with more value and better long-term outcomes. Sustainability and Green Building Practices: Environmental concerns have pushed industries to adopt more sustainable practices. Turnkey contractors are responding by incorporating green building standards, energy-efficient systems, and eco-friendly materials into their projects. By leveraging renewable energy sources and eco-conscious designs, these contractors ensure that projects not only meet industry standards but also contribute to sustainability goals, reducing the environmental footprint of industrial facilities. Cost Efficiency: One of the biggest advantages of turnkey solutions is their ability to reduce overall project costs. By offering a single point of contact for all aspects of a project, turnkey contractors streamline processes, reduce the need for multiple subcontractors, and cut down on overhead costs. This approach ensures that projects are completed on time and within budget, which is crucial for businesses aiming to maximize profitability while minimizing risks. Faster Project Delivery: Time is a critical factor in any industrial project. Delays can lead to significant financial losses and missed market opportunities. Turnkey contractors help mitigate these risks by ensuring that all aspects of the project are coordinated from the start. The integrated approach reduces delays, as the contractor oversees all phases of the project. The ability to deliver faster is one of the key trends for 2025, as industries demand quicker turnaround times to remain competitive. Customization and Flexibility: Each industrial project is unique, and turnkey contractors are increasingly offering customized solutions tailored to meet specific client needs. In 2025, clients are looking for highly personalized services that can accommodate the unique challenges of their industries. Whether it's adjusting to new market conditions, integrating sp","url":"https://doi.org/10.5281/zenodo.15268641","authors":["Gokulparam"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15268641","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.35097/kf4tg7xk649w984q","name":"Natural and synthetic datasets for rapid deep-learning-based optical measurement of printed linear structures","source":"datacite","abstract":"Conventional optical measurement techniques are beneficial in manufacturing processes due to their fast and non-intrusive operation. However, they require sophisticated and expensive equipment as well as increased personnel qualification. While the integration of machine learning contributes to alleviating these requirements, it needs a time-consuming and tedious preparation of training datasets. We introduce a twin concept to conduct rapid measurement of various geometrical properties of printed lines using deep learning. For the first time, a tedious collection and assessment of training data is substituted by synthetic generation of digital samples, which enables flexible, fast, and precise data processing. A full-field analysis of a non-preprocessed image conducted by a neural network facilitates measurement of multiple geometrical properties of an object at once. Corresponding network architecture, workflows, and metrics are outlined. The application area of the concept is demonstrated, but not limited to the field of functional printing. The method can easily be tailored to a wide range of engineering fields.","url":"https://doi.org/10.35097/kf4tg7xk649w984q","authors":["Polomoshnov, Maxim","Ashif, Nowab Reza Md","Reischl, Markus"],"tags":["Computer Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.35097/kf4tg7xk649w984q","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15261577","name":"Deliverable D6.1: Market analysis and PERKS positioning for Exploitation","source":"datacite","abstract":"This document presents the results of the activities performed during the first phase of T6.1 of PERKS project in terms of market analysis and preliminary exploitation. A summary of findings and insights are provided in the following paragraphs. Artificial Intelligence (AI) and Machine Learning technologies are transforming businesses across industries, offering numerous opportunities for organizations to innovate, compete and grow. However, there are significant differences in the adoption of AI between industries. While some industries, such as finance and healthcare, have embraced AI, despite a seemingly unfavorable regulatory environment, and are already reaping the benefits, others are still struggling to adopt the technology. IDC data shows that the manufacturing sector is the the third-largest sector for AI adoption, with a market size of 5.1 billion USD in 2023. In the manufacturing sector, AI solutions are becoming increasingly widespread, driven by operational efficiency and IT optimization needs, as well as to provide improved customer experiences. This is particular prominent when it comes to the industrial operations space, where AI is seen as a strategic topic by the vast majority investing in this technology. IDC data shows that the total estimated spending for AI technologies across hardware, software, and services in this industry will be over the figure of 14.6 billion USD in 2027. This constitutes an estimated 30.8% CAGR (Compound Annual Growth Rate) over 2023 (5.019 billion). AI-optimized operations, AI-augmented quality management investigation and recommendation systems, AI-augmented supply and logistics, Automated preventative maintenance, and Digital twin/advanced digital simulation are all use cases that are finding practical applications in the manufacturing space. The main identified drivers towards AI implementation pertain to areas such as raising internal process efficiency, augmenting organization’s competitiveness, improving data risk management. The main inhibitors to AI deployment reside on the lack of workforce to drive, support and work with AI in the industrial setting, followed by several technology application challenges from governance to data trust. The lack of adequate business cases is also a type of challenge inhibiting AI deployments. When it comes to AI solutions deployment, at the moment, the vast majority of European manufacturing companies can be defined as “buyers”, i.e. buying from external 3rd party providers, such as AI specialty software and service providers, large IT SIs and service providers, operations-focused SIs and service providers, Industrial automation providers, enterprise software providers, and engineering firms. AI and AI-powered technology has the potential to help manufacturers remain competitive by enhancing the efficiency of operations and engineering. In the future, accelerating the use of AI-powered technology in a manufacturing environment can also support the European continent in achieving its sustainability and climate goals. The results of the market analysis depicts that the solutions that will be developed within PERKS project are aligned with the spotlight use-cases for the upcoming years. This highlights the opportunity for PERKS for future exploitation of its assets and it requires a solid exploitation model which will be developed and delivered in D6.4 in M33.","url":"https://doi.org/10.5281/zenodo.15261577","authors":["Pourabdollahian, Golboo"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.15261577","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15261576","name":"Deliverable D6.1: Market analysis and PERKS positioning for Exploitation","source":"datacite","abstract":"This document presents the results of the activities performed during the first phase of T6.1 of PERKS project in terms of market analysis and preliminary exploitation. A summary of findings and insights are provided in the following paragraphs. Artificial Intelligence (AI) and Machine Learning technologies are transforming businesses across industries, offering numerous opportunities for organizations to innovate, compete and grow. However, there are significant differences in the adoption of AI between industries. While some industries, such as finance and healthcare, have embraced AI, despite a seemingly unfavorable regulatory environment, and are already reaping the benefits, others are still struggling to adopt the technology. IDC data shows that the manufacturing sector is the the third-largest sector for AI adoption, with a market size of 5.1 billion USD in 2023. In the manufacturing sector, AI solutions are becoming increasingly widespread, driven by operational efficiency and IT optimization needs, as well as to provide improved customer experiences. This is particular prominent when it comes to the industrial operations space, where AI is seen as a strategic topic by the vast majority investing in this technology. IDC data shows that the total estimated spending for AI technologies across hardware, software, and services in this industry will be over the figure of 14.6 billion USD in 2027. This constitutes an estimated 30.8% CAGR (Compound Annual Growth Rate) over 2023 (5.019 billion). AI-optimized operations, AI-augmented quality management investigation and recommendation systems, AI-augmented supply and logistics, Automated preventative maintenance, and Digital twin/advanced digital simulation are all use cases that are finding practical applications in the manufacturing space. The main identified drivers towards AI implementation pertain to areas such as raising internal process efficiency, augmenting organization’s competitiveness, improving data risk management. The main inhibitors to AI deployment reside on the lack of workforce to drive, support and work with AI in the industrial setting, followed by several technology application challenges from governance to data trust. The lack of adequate business cases is also a type of challenge inhibiting AI deployments. When it comes to AI solutions deployment, at the moment, the vast majority of European manufacturing companies can be defined as “buyers”, i.e. buying from external 3rd party providers, such as AI specialty software and service providers, large IT SIs and service providers, operations-focused SIs and service providers, Industrial automation providers, enterprise software providers, and engineering firms. AI and AI-powered technology has the potential to help manufacturers remain competitive by enhancing the efficiency of operations and engineering. In the future, accelerating the use of AI-powered technology in a manufacturing environment can also support the European continent in achieving its sustainability and climate goals. The results of the market analysis depicts that the solutions that will be developed within PERKS project are aligned with the spotlight use-cases for the upcoming years. This highlights the opportunity for PERKS for future exploitation of its assets and it requires a solid exploitation model which will be developed and delivered in D6.4 in M33.","url":"https://doi.org/10.5281/zenodo.15261576","authors":["Pourabdollahian, Golboo"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.15261576","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.18154/rwth-2025-03333","name":"Decision support framework integrating digital twins for adapting dynamic assembly systems","source":"datacite","abstract":"The manufacturing industry faces economic and ecological challenges that require increased resilience. Frequent global crises disrupt supply chains and create increased market fluctuations, leading to an uncertainty in demand. Additionally, the need to integrate circular economy principles in assembly systems intensifies the challenges associated with high product variance and uncertain product mixes. In response to these trends, there is a shift from line-based to line-less assembly systems. These systems are more dynamic due to higher flexibility and adaptability through individual job routes, allowing for effective responses to unforeseen events such as station failures, material shortages, or changes in the production program, including the integration of new technologies. However, the higher flexibility leads to increased complexity in planning and control. A growing shortage of skilled workforce, combined with the increasing system and thus decision complexity, makes the provision of decision support systems essential for supporting production planners in their future decision-making. This thesis presents a modular decision support system for adapting dynamic assembly systems with uncertain product mixes. It integrates simulation-based optimization with a digital twin pipeline to automatically find, evaluate and optimize system configurations for future product mix scenarios without manual effort. An optimization module is presented that iteratively adjusts the virtual system, evaluated by discrete-event simulation, to achieve user-defined throughput and utilization targets. A digital twin pipeline generates custom ontologies and to deploys digital twins, which facilitates the automatic generation of simulation models. The user interacts with the decision support system in a graphical user interface, where detailed results for all future scenarios are displayed. The system and all its modules are validated using an industrial use case. The use cases of product mix changes caused by a change in demand and the integration of new product variants are assessed. The experiments confirm the effectiveness of the proposed system in finding configurations that enhance resilience against disruptions. The modularity of the framework and the standardized interfaces enable an effortless enhancement to further use cases by developing new optimization modules or adapting the simulation model. The system enables production planners to automatically obtain system adaptations that improve performance for future product mixes without manual effort. This reduces the complexity of planning and controlling dynamic assembly systems and the need for human expertise.","url":"https://doi.org/10.18154/rwth-2025-03333","authors":["Baum, Jonas Sebastian"],"tags":["Hochschulschrift","assembly systems ; resilience ; flexibility ; simulation ; optimization ; digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.18154/rwth-2025-03333","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.18130/rnx9-v096","name":"A Reinforcement Learning-Based Control Strategy for Industrial Dust Collectors in a Simulation-Based Digital Twin Environment","source":"datacite","abstract":"This study proposes a control strategy to simultaneously enhance the safety and efficiency of dust collector systems used in industrial sites. Specifically, it aims to address the issues of pollutant removal efficiency, filter clogging prevention, energy consumption reduction, and sustained filtration performance by leveraging reinforcement learning-based approaches that can be resolved through real-time operation control in a digital twin environment. To this end, an industrial field site was selected at Samsung SDI's secondary battery manufacturing plant, where the dust collector operates under specific conditions. A digital twin model was constructed based on empirical data, reflecting the actual on-site operating conditions. This digital twin model includes the core components of a dust collector system—Fan, Fume Inlet, Reactor, Filter, and Outlet—each represented by parameters such as pressure, flow rate, concentration, and operating conditions, and implemented as a physics-based simulation model. On this model, the reinforcement learning algorithm Proximal Policy Optimization (PPO) was applied to autonomously learn the optimal control policy for fan speed and valve operation. The learning goal was to maintain the system's internal temperature below 50°C (323.15 K) while simultaneously ensuring pollutant removal efficiency without causing filter clogging. Additionally, the agent was designed to treat variable inflow conditions in real time by optimizing multiple factors such as temperature, flow rate, pressure, and pollutant concentration through a multi-objective structure. The experimental results demonstrated that the PPO policy was able to maintain approximately 3.15 times faster response speed compared to the baseline and adapt to environmental changes. Furthermore, the trained agent maintained consistent filtration performance and system stability during repeated policy learning and evaluation phases. As a result, it was able to maintain the internal temperature below 315.15 K, achieve a pollutant removal efficiency of 99.9%, and maintain filter efficiency at 0.4. This implies that the proposed strategy can reduce the time required for system stabilization and enhance predictive performance for real-time control cycles. Moreover, the proposed strategy is applicable not only to dust collectors but also to various manufacturing facilities, such as semiconductor manufacturing lines, by leveraging historical data, sensor data, and equipment status. It enables the establishment of a smart production environment based on digital twin and predictive maintenance, which facilitates the simultaneous optimization of both equipment-level performance and overall productivity and system efficiency. In conclusion, this study contributes a practical approach that combines the latest AI technologies with existing facilities to improve the safety and efficiency of dust collector systems. It can also serve as a foundation for developing autonomous and optimized control strategies in simulation-based digital twin environments.","url":"https://doi.org/10.18130/rnx9-v096","authors":["Seungyoon Byun"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.18130/rnx9-v096","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/gtvvwmz7r7.2","name":"CNC Machining Data Repository - Geometry, NC Code &amp; High-Frequency Energy Consumption Data for Aluminum and Plastic Machining","source":"datacite","abstract":"In the field of manufacturing, high-quality datasets are essential for optimizing production processes, improving energy efficiency, and developing predictive maintenance strategies. This repository introduces a comprehensive CNC machining data repository that includes three key data categories: (1) product geometry data, (2) NC code data, and (3) high frequency energy consumption data. This dataset is particularly valuable for researchers and engineers working in manufacturing analytics, energy-efficient machining, and machine learning applications in smart manufacturing. Potential use cases include optimizing machining parameters for energy reduction, predicting tool wear based on power consumption patterns, and enhancing digital twin models with real-world machining data. By making this dataset publicly available, we aim to support the development of data-driven solutions in modern manufacturing and facilitate benchmarking efforts across different machining strategies.","url":"https://doi.org/10.17632/gtvvwmz7r7.2","authors":["Brillinger, Markus"],"tags":["Manufacturing Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.17632/gtvvwmz7r7.2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/gtvvwmz7r7.1","name":"CNC Machining Data Repository - Geometry, NC Code &amp; High-Frequency Energy Consumption Data for Aluminum and Plastic Machining","source":"datacite","abstract":"In the field of manufacturing, high-quality datasets are essential for optimizing production processes, improving energy efficiency, and developing predictive maintenance strategies. This repository introduces a comprehensive CNC machining data repository that includes three key data categories: (1) product geometry data, (2) NC code data, and (3) high frequency energy consumption data. This dataset is particularly valuable for researchers and engineers working in manufacturing analytics, energy-efficient machining, and machine learning applications in smart manufacturing. Potential use cases include optimizing machining parameters for energy reduction, predicting tool wear based on power consumption patterns, and enhancing digital twin models with real-world machining data. By making this dataset publicly available, we aim to support the development of data-driven solutions in modern manufacturing and facilitate benchmarking efforts across different machining strategies.","url":"https://doi.org/10.17632/gtvvwmz7r7.1","authors":["Brillinger, Markus"],"tags":["Manufacturing Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.17632/gtvvwmz7r7.1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2501.07601","name":"Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks","source":"datacite","abstract":"Digital Twin -- a virtual replica of a physical system enabling real-time monitoring, model updating, prediction, and decision-making -- combined with recent advances in machine learning, offers new opportunities for proactive control strategies in autonomous manufacturing. However, achieving real-time decision-making with Digital Twins requires efficient optimization driven by accurate predictions of highly nonlinear manufacturing systems. This paper presents a simultaneous multi-step Model Predictive Control (MPC) framework for real-time decision-making, using a multivariate deep neural network, named Time-Series Dense Encoder (TiDE), as the surrogate model. Unlike conventional MPC models which only provide one-step ahead prediction, TiDE is capable of predicting future states within the prediction horizon in one shot (multi-step), significantly accelerating the MPC. Using Directed Energy Deposition (DED) additive manufacturing as a case study, we demonstrate the effectiveness of the proposed MPC in achieving melt pool temperature tracking to ensure part quality, while reducing porosity defects by regulating laser power to maintain melt pool depth constraints. In this work, we first show that TiDE is capable of accurately predicting melt pool temperature and depth. Second, we demonstrate that the proposed MPC achieves precise temperature tracking while satisfying melt pool depth constraints within a targeted dilution range (10\\%-30\\%), reducing potential porosity defects. Compared to PID controller, the MPC results in smoother and less fluctuating laser power profiles with competitive or superior melt pool temperature control performance. This demonstrates the MPC's proactive control capabilities, leveraging time-series prediction and real-time optimization, positioning it as a powerful tool for future Digital Twin applications and real-time process optimization in manufacturing.","url":"https://doi.org/10.48550/arxiv.2501.07601","authors":["Chen, Yi-Ping","Karkaria, Vispi","Tsai, Ying-Kuan","Rolark, Faith","Quispe, Daniel","Gao, Robert X.","Cao, Jian","Chen, Wei"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.07601","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15204707","name":"AI-Driven Autonomous Agents for Advanced Semiconductor Manufacturing","source":"datacite","abstract":"This white paper introduces a groundbreaking AI agent framework specifically designed for semiconductor manufacturing that achieves unprecedented performance metrics, including 99.99% accuracy in defect detection and up to 30% reduction in yield detraction. By integrating distributed deep reinforcement learning, federated AI systems, game-theoretic optimization, and quantum-aware methodologies, our UnityGrid AI-driven mini fab represents a paradigm shift in how semiconductor manufacturing can be optimized and managed in the sub-5nm era. The framework operates seamlessly through Siemens digital twin interface, enabling real-time adaptability and continuous improvement across manufacturing stages while maintaining proprietary data security through advanced federated learning techniques.","url":"https://doi.org/10.5281/zenodo.15204707","authors":["Khan, Ronald"],"tags":["AI-Driven Semiconductor manufacturing","Autonomous agents","RFIC","Design automation","EDA"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15204707","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15204706","name":"AI-Driven Autonomous Agents for Advanced Semiconductor Manufacturing","source":"datacite","abstract":"This white paper introduces a groundbreaking AI agent framework specifically designed for semiconductor manufacturing that achieves unprecedented performance metrics, including 99.99% accuracy in defect detection and up to 30% reduction in yield detraction. By integrating distributed deep reinforcement learning, federated AI systems, game-theoretic optimization, and quantum-aware methodologies, our UnityGrid AI-driven mini fab represents a paradigm shift in how semiconductor manufacturing can be optimized and managed in the sub-5nm era. The framework operates seamlessly through Siemens digital twin interface, enabling real-time adaptability and continuous improvement across manufacturing stages while maintaining proprietary data security through advanced federated learning techniques.","url":"https://doi.org/10.5281/zenodo.15204706","authors":["Khan, Ronald"],"tags":["AI-Driven Semiconductor manufacturing","Autonomous agents","RFIC","Design automation","EDA"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15204706","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15198393","name":"Knowledge representation of battery manufacturing supported by an integrated ontology system","source":"datacite","abstract":"The fast-moving field of battery technologies including variations of materials and manufacturing processes requires decision support that is based on a knowledge base that represents and integrates the multiple chemistries, processes, data sources (e.g. sensors), characterisation methods etc. Moreover, a digital twin approach also needs to relate the virtual representation to “real” data. We present a single conceptual framework of all the diverse knowledge sources relevant to constructing a battery Digital Twin in the BatCAT project. The project compiled an extensive set of competency questions and relevant metadata and mapped them to existing ontologies, in particular to the growing ecosystem of EMMO and its domain ontologies, including CHAMEO, the Electrochemistry Ontology and the Battery Domain Ontology. In addition, it was found that the Sensor Network Ontology can easily be aligned, based on conceptualisations of key classes and object properties that are similar to EMMO. Further ontologies that can be utilised going forward include the Chemical Substance ontology and the Battery Value Chain Ontology. As a result, the BatCAT ontology requires very few additional concepts, ensuring semantic interoperability in the battery domain. The Digital Twin is represented in EMMO by two interconnected semiotic triangles.","url":"https://doi.org/10.5281/zenodo.15198393","authors":["Goldbeck, Gerhard"],"tags":["Digital Twin","Ontology","Battery"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15198393","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15198392","name":"Knowledge representation of battery manufacturing supported by an integrated ontology system","source":"datacite","abstract":"The fast-moving field of battery technologies including variations of materials and manufacturing processes requires decision support that is based on a knowledge base that represents and integrates the multiple chemistries, processes, data sources (e.g. sensors), characterisation methods etc. Moreover, a digital twin approach also needs to relate the virtual representation to “real” data. We present a single conceptual framework of all the diverse knowledge sources relevant to constructing a battery Digital Twin in the BatCAT project. The project compiled an extensive set of competency questions and relevant metadata and mapped them to existing ontologies, in particular to the growing ecosystem of EMMO and its domain ontologies, including CHAMEO, the Electrochemistry Ontology and the Battery Domain Ontology. In addition, it was found that the Sensor Network Ontology can easily be aligned, based on conceptualisations of key classes and object properties that are similar to EMMO. Further ontologies that can be utilised going forward include the Chemical Substance ontology and the Battery Value Chain Ontology. As a result, the BatCAT ontology requires very few additional concepts, ensuring semantic interoperability in the battery domain. The Digital Twin is represented in EMMO by two interconnected semiotic triangles.","url":"https://doi.org/10.5281/zenodo.15198392","authors":["Goldbeck, Gerhard"],"tags":["Digital Twin","Ontology","Battery"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15198392","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15195439","name":"The Role of Digital Twin Technology in Enhancing Supply Chain Resilience and Predictive Risk Management","source":"datacite","abstract":"ABSTRACT:The increasing complexity and vulnerability of global supply chains have amplified the need for technologies that enable agility, foresight, and resilience. Amid ongoing disruptions driven by pandemics, geopolitical uncertainty, and climate events, Digital Twin Technology (DTT) has emerged as a transformative solution. While extensively explored in the engineering and manufacturing sectors, its application in supply chain management—particularly its influence on resilience, predictive risk management, operational efficiency, and visibility—remains under-researched. This study addresses this gap by exploring how DTT adoption influences these critical dimensions of supply chain performance. Using a qualitative research design, this study employed semi-structured interviews with 15 supply chain and technology professionals across diverse sectors. The participants were selected based on their experience with digital transformation and risk mitigation in supply chain settings. The collected data was analysed through thematic analysis, allowing the identification of recurring patterns and the construction of thematic categories that reflect the role of DTT in enhancing various supply chain outcomes. The analysis revealed five core themes directly aligned with the proposed conceptual model: Real-Time Data Integration Enhancing Visibility, Simulation and Scenario Planning Driving Risk Management, Organizational Readiness and System Interoperability Influencing Operational Efficiency, Predictive Analytics Enabling Faster Disruption Response, and Strategic Agility Facilitating Supply Chain Resilience. The findings support the conceptual pathway in which DTT, characterized by real-time integration, simulation capabilities, and predictive analytics, significantly contributes to improved supply chain resilience, more effective predictive risk management, increased operational efficiency, and enhanced end-to-end visibility. However, barriers such as data interoperability, high implementation costs, and limited digital capabilities among SMEs were also reported. This study makes a theoretical contribution by empirically validating the multi-dimensional impact of Digital Twin Technology as an independent variable influencing four core dependent dimensions of supply chain performance: resilience, predictive risk management, operational efficiency, and visibility. The findings affirm that DTT enables firms not only to react to disruptions but also to anticipate and simulate potential risks, thus reinforcing a proactive and data-driven supply chain strategy. These insights are particularly relevant for policymakers and business leaders aiming to strengthen supply chain infrastructures in volatile environments. The research also highlights the importance of strategic alignment, technological maturity, and investment in digital capabilities to fully leverage the transformative potential of digital twins.","url":"https://doi.org/10.5281/zenodo.15195439","authors":["Faiq Ali Khan","Dr. Shankar Subramanian Iyer"],"tags":["Digital Twin Technology; Supply Chain Resilience; Predictive Risk Management; Operational Efficiency; Supply Chain Visibility; Thematic Analysis; Real-Time Simulation; Scenario Planning; Organizational Readiness; Qualitative Research"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15195439","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15195438","name":"The Role of Digital Twin Technology in Enhancing Supply Chain Resilience and Predictive Risk Management","source":"datacite","abstract":"ABSTRACT:The increasing complexity and vulnerability of global supply chains have amplified the need for technologies that enable agility, foresight, and resilience. Amid ongoing disruptions driven by pandemics, geopolitical uncertainty, and climate events, Digital Twin Technology (DTT) has emerged as a transformative solution. While extensively explored in the engineering and manufacturing sectors, its application in supply chain management—particularly its influence on resilience, predictive risk management, operational efficiency, and visibility—remains under-researched. This study addresses this gap by exploring how DTT adoption influences these critical dimensions of supply chain performance. Using a qualitative research design, this study employed semi-structured interviews with 15 supply chain and technology professionals across diverse sectors. The participants were selected based on their experience with digital transformation and risk mitigation in supply chain settings. The collected data was analysed through thematic analysis, allowing the identification of recurring patterns and the construction of thematic categories that reflect the role of DTT in enhancing various supply chain outcomes. The analysis revealed five core themes directly aligned with the proposed conceptual model: Real-Time Data Integration Enhancing Visibility, Simulation and Scenario Planning Driving Risk Management, Organizational Readiness and System Interoperability Influencing Operational Efficiency, Predictive Analytics Enabling Faster Disruption Response, and Strategic Agility Facilitating Supply Chain Resilience. The findings support the conceptual pathway in which DTT, characterized by real-time integration, simulation capabilities, and predictive analytics, significantly contributes to improved supply chain resilience, more effective predictive risk management, increased operational efficiency, and enhanced end-to-end visibility. However, barriers such as data interoperability, high implementation costs, and limited digital capabilities among SMEs were also reported. This study makes a theoretical contribution by empirically validating the multi-dimensional impact of Digital Twin Technology as an independent variable influencing four core dependent dimensions of supply chain performance: resilience, predictive risk management, operational efficiency, and visibility. The findings affirm that DTT enables firms not only to react to disruptions but also to anticipate and simulate potential risks, thus reinforcing a proactive and data-driven supply chain strategy. These insights are particularly relevant for policymakers and business leaders aiming to strengthen supply chain infrastructures in volatile environments. The research also highlights the importance of strategic alignment, technological maturity, and investment in digital capabilities to fully leverage the transformative potential of digital twins.","url":"https://doi.org/10.5281/zenodo.15195438","authors":["Faiq Ali Khan","Dr. Shankar Subramanian Iyer"],"tags":["Digital Twin Technology; Supply Chain Resilience; Predictive Risk Management; Operational Efficiency; Supply Chain Visibility; Thematic Analysis; Real-Time Simulation; Scenario Planning; Organizational Readiness; Qualitative Research"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15195438","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5445/ir/1000180785","name":"Systematic Digital Twin-Based Development Approach for Holistic Sustainable Electric Traction Motors","source":"datacite","abstract":"Sustainability is a key challenge today. The high emission impact of the mobility sector requires a shift from internal combustion engines to electric traction motors. In order to improve sustainability holistically, the entire lifecycle from raw materials, manufacturing, use and end-of-life must be considered during development. Although a lot can be carried out to influence sustainability during the development phase, knowledge about the product is still very limited. Considering the main lifecycle stages already during the development phase requires a systematic development approach. Furthermore, integrating data from previous product generations is required. Generating a digital twin which collects data over the lifecycle is a useful tool which enables the prediction of evaluation criteria for the lifecycle stages. However, when using the digital twin, a suitable description model needs to be generated. A cross-lifecycle evaluation model based on Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) was used to evaluate sustainability throughout the whole lifecycle. Information for evaluation was generated using a cross-lifecycle modeling approach, which enabled the combination of different lifecycle perspectives during development. To show the potential of evaluating different solutions from different perspectives, the methodology was demonstrated with a lightweight rotor of an electric traction motor. The great potential of the process model is shown.","url":"https://doi.org/10.5445/ir/1000180785","authors":["Scholz, Johannes","Klein, Nicolaus","Kößler, Florian","Fleischer, Jürgen"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5445/ir/1000180785","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2504.00286","name":"Digital Twins in Biopharmaceutical Manufacturing: Review and Perspective on Human-Machine Collaborative Intelligence","source":"datacite","abstract":"The biopharmaceutical industry is increasingly developing digital twins to digitalize and automate the manufacturing process in response to the growing market demands. However, this shift presents significant challenges for human operators, as the complexity and volume of information can overwhelm their ability to manage the process effectively. These issues are compounded when digital twins are designed without considering interaction and collaboration with operators, who are responsible for monitoring processes and assessing situations, particularly during abnormalities. Our review of current trends in biopharma digital twin development reveals a predominant focus on technology and often overlooks the critical role of human operators. To bridge this gap, this article proposes a collaborative intelligence framework that emphasizes the integration of operators with digital twins. Approaches to system design that can enhance operator trust and human-machine interface usability are presented. Moreover, innovative training programs for preparing operators to understand and utilize digital twins are discussed. The framework outlined in this article aims to enhance collaboration between operators and digital twins effectively by using their full capabilities to boost resilience and productivity in biopharmaceutical manufacturing.","url":"https://doi.org/10.48550/arxiv.2504.00286","authors":["Shahab, Mohammed Aatif","Destro, Francesco","Braatz, Richard D."],"tags":["Human-Computer Interaction (cs.HC)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.00286","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/kkmzjr3wv7","name":"Laser Powder-Bed Fusion Simulation of mechanical data at part scale (IHPC-A*star)","source":"datacite","abstract":"# Data set description This dataset is attached to research paper *\"Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion\"* written by L. Lestandi, J.C. Wong, G.Y. Dong, J. Mikula, G. Vastola, U. Kizhakkinan, C.S. Ford, D.W. Rosen, M.H. Dao, M.H. Jhon. It was generated using A*Star Digital Twin for Additive Manufacturing and is used in the paper for surrogate modeling. This data was produced with the financial support was provided by the Science and Engineering Research Council, A*STAR, Singapore (Grant no. A19E1a0097). ## Geometries Two families of geometries are present: 1. A quasi 2D plate with hole. The hole is a parametrized ellipsoid with 2 paramters : M the length of the long axis and $\\Theta$, the tilt angle of the long axis which are reflected in the naming convention. An unused paramet m is unused and always read 10. 2. A \"wedge\" 3D geometry with varying height, base and top width. lx is the lenght along axis x at the base plate, Lx is the lenght along axis x at the top of the wedge, H is the height of wedge and Ly is the length of the wedge. More details and figures are available in the paper. ## Data structure and content Training sets and test sets are separated. The training sets are sampling the parametre space on a regular grid. The tests sets are made of 10 samples randomly drawn in the parameter space. - `PWH_test-29-03-2023.zip` - contains 10 test samples for plate with hole geometry - `PWH-29-03-2023.zip` - contains 143 training samples for plate with hole geometry + a \"circular hole\" sample which is used as a reference geometry in the paper - `wedge_test-11-05-2023.zip` - contains 10 test samples for wedge geometry - `wedge-11-05-2023.zip` - contains 150 training samples for wedge geometry In each of these, individual samples are stored in a specific directory named after the geometry and a binary data file stores a python list of pyvista objects that can be opened with pickle, this is not recommended way to access the data but it is faster. Each sample specific directory contains the following (here on plate with hole example): - `PWH_M10_m10_theta0_V_pygem-as-built.vtk` the output of the FOM in VTK ascii format, the part has **not** been removed from the plate and no thermal postprocessing is performed - `PWH_M10_m10_theta0_V_pygem-plate-removed.vtk` the output of the FOM in VTK ascii format, the part has been removed from the plate and no thermal postprocessing is performed - `PWH_M10_m10_theta0_V_pygem.stl` the target geometry as fed to the model Feel free to contact the first author for further details.","url":"https://doi.org/10.17632/kkmzjr3wv7","authors":["Lucas Lestandi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.17632/kkmzjr3wv7","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15113989","name":"D7.1: Communication and Dissemination Plan, including an overview of planned training activities","source":"datacite","abstract":"This communication and dissemination plan is a public deliverable from the BatCAT consortium, meant to inform the general public on our plans. It includes an overview over the planned training activities. This is version no. 2 of deliverable D7.1, produced for milestone 10.","url":"https://doi.org/10.5281/zenodo.15113989","authors":["Glutting, Johanna"],"tags":["digital twin","battery manufacturing","communication and dissemination plan"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15113989","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15113990","name":"D7.1: Communication and Dissemination Plan, including an overview of planned training activities","source":"datacite","abstract":"This communication and dissemination plan is a public deliverable from the BatCAT consortium, meant to inform the general public on our plans. It includes an overview over the planned training activities. This is version no. 2 of deliverable D7.1, produced for milestone 10.","url":"https://doi.org/10.5281/zenodo.15113990","authors":["Glutting, Johanna"],"tags":["digital twin","battery manufacturing","communication and dissemination plan"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15113990","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.15167/abusohyon-islam-asem-salah_phd2022-04-28","name":"IoT and Industry 4.0 technologies in Digital Manufacturing Transformation","source":"datacite","abstract":"The evolution of internet of things, cyber physical system, digital twin and artificial intelligence is stimulating the transformation of the product-centric processes toward smart control digital service-oriented ones. With the implementation of artificial intelligence and machine learning algorithms, IoT has accelerated the movement from connecting devices to the Internet to collecting and analyzing data by using sensors to extract data throughout the lifecycle of the product, in order to create value and knowledge from the huge amount of the collected data, such as the knowledge of the product performance and conditions. The importance of internet of things technology in manufacturing comes from its ability to collect real time data and extract valuable knowledge from these huge amount of data which can be supported through the implementation of smart IoT-based servitization framework which was presented in this research together with a 10-steps approach diagram. Moreover, literature review has been carried out to develop the research and deepen the knowledge in the field of IoT, CPS, DT and Artificial Intelligence, and then interviews with experts have been conducted to validate the contents, since DT is a quite new technology, so there are different points of view about certain concepts of this technology. The main scope and objective of this research is to allow organizational processes and companies to benefit form the value added information that can be achieved through the right implementation of advanced technologies such as IoT, DT, CPS, and artificial intelligence which can provide financial benefits to the manufacturing companies and competitive advantages to make them stand among the other competitors in the market. The effectiveness of such technologies can not only improve the financial benefits of the companies, but the workers? safety and health through the real time monitoring of the work environment. Here in this research the main aim is to present the right frameworks that can be used in the literature through companies and researchers to allow them to implement these technologies correctly in the boundaries of their businesses. In addition to that, the Smart factory concept, as introduced in the context of Industry 4.0, promotes the development of a new interconnected manufacturing environment where human operators cooperate with machines. While the role of the operator in the smart factory is substantially being rediscussed, the industrial approach towards safety and ergonomics still appears frequently outdated and inadequate. This research approaches such topic referring to the vibration risk, a well-known cause of work-related pathologies, and proposes an original methodology for mapping the risk exposure related to the performed activities. A miniaturized wearable device is employed to collect vibration data, and the obtained signals are segmented and processed in order to extract the significant features. An original machine learning classifier is then employed to recognize the worker?s activity and evaluate the related exposure to vibration risks. Finally, the results obtained from the experimental analysis demonstrate feasibility and the effectiveness of the proposed methodology.","url":"https://doi.org/10.15167/abusohyon-islam-asem-salah_phd2022-04-28","authors":["ABUSOHYON, ISLAM ASEM SALAH"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.15167/abusohyon-islam-asem-salah_phd2022-04-28","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15076414","name":"ENTRUST D3.2 ENTRUST Risk Assessment & Collective Threat Intelligence Framework – Initial Release","source":"datacite","abstract":"Towards providing operational assurance to organizations belonging to the medical domain, ENTRUST aims to ensure that the trustworthiness level of Connected Medical Devices (CMDs) remains at an acceptable level throughout their operational lifecycle. In this regard, this deliverable is dedicated to the detailed description of all components participating in the Trust Assessment process of ENTRUST throughout all three core phases of the ENTRUST action workflow, i.e., the Manufacturing Phase, the Predeployment Phase, and the Runtime Phase. First, we focus on the Formal Verification component, which is responsible for formally verifying the security processes of ENTRUST. Next, we describe the Threat Modeling and Software Verification component, which aggregates information from existing databases and formulates the attack vector for the device. This is forwarded to the Risk Assessment component, which evaluates the risk level for the device and calculates its Required Trust Level (RTL). We then describe the Trust Assessment Framework of ENTRUST (TAF) which is able to evaluate the Actual Trust Level (ATL) of the device. Next, the Digital Twin (DT) is able to emulate any incidents that led to a failed attestation process and identify new threats or vulnerabilities. The Secure Software Update module is then able to securely deploy updates as mitigation measures to patch such vulnerabilities. This document positions all aforementioned components within the overall ENTRUST framework and documents all interactions between them.","url":"https://doi.org/10.5281/zenodo.15076414","authors":["ENTRUST Horizon Europe"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.15076414","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15076413","name":"ENTRUST D3.2 ENTRUST Risk Assessment & Collective Threat Intelligence Framework – Initial Release","source":"datacite","abstract":"Towards providing operational assurance to organizations belonging to the medical domain, ENTRUST aims to ensure that the trustworthiness level of Connected Medical Devices (CMDs) remains at an acceptable level throughout their operational lifecycle. In this regard, this deliverable is dedicated to the detailed description of all components participating in the Trust Assessment process of ENTRUST throughout all three core phases of the ENTRUST action workflow, i.e., the Manufacturing Phase, the Predeployment Phase, and the Runtime Phase. First, we focus on the Formal Verification component, which is responsible for formally verifying the security processes of ENTRUST. Next, we describe the Threat Modeling and Software Verification component, which aggregates information from existing databases and formulates the attack vector for the device. This is forwarded to the Risk Assessment component, which evaluates the risk level for the device and calculates its Required Trust Level (RTL). We then describe the Trust Assessment Framework of ENTRUST (TAF) which is able to evaluate the Actual Trust Level (ATL) of the device. Next, the Digital Twin (DT) is able to emulate any incidents that led to a failed attestation process and identify new threats or vulnerabilities. The Secure Software Update module is then able to securely deploy updates as mitigation measures to patch such vulnerabilities. This document positions all aforementioned components within the overall ENTRUST framework and documents all interactions between them.","url":"https://doi.org/10.5281/zenodo.15076413","authors":["ENTRUST Horizon Europe"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.15076413","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15069628","name":"Re-Engineering for Resilience: Adapting to Tariffs in US Automotive and Aerospace Industries","source":"datacite","abstract":"The potential imposition of 25% tariffs on Canadian raw materials in 2025 presents a significant challenge to US automotive and aerospace industries1. These sectors rely on specific raw materials and finished products sourced from Canada2,3,5, tariffs could disrupt supply chains and increase costs5. However, a proactive approach involves re-engineering existing products to utilize different, readily available materials. This is where systems engineers play a crucial role, designing innovative solutions to maintain performance and mitigate the impact of the tariffs on the economy and on the people of the United States. Systems engineers are uniquely positioned to tackle this challenge. Their expertise in design, analysis, and optimization allows them to evaluate existing products8, identify materials vulnerable to tariffs, and develop alternative material strategies.","url":"https://doi.org/10.5281/zenodo.15069628","authors":["Olaniyi, Gbolahan","Martin, Paul"],"tags":["Systems Engineering Lifecycle Model System Requirements Definition (SRD) Design Definition (DD) System Architecture Definition (SAD) Verification and Validation (V&amp;V)","Digital Twin Finite Element Analysis (FEA) Material Supply and Acquisition Alternative Materials Composite Materials","Tariff-vulnerable Components Supply Chain Coordination Substitution Strategy Resource Constraints Trade Disruption Strategic Supplier Partnerships Automotive Industry Aerospace Industry","Electric Vehicle Infrastructure Emission Regulations Crash Testing Roadworthiness Standards Tariffs Trade Policy","NHTSA EPA CAFE Standards IIHS Euro NCAP Emissions Regulations","Economic Impact Sustainability Long-Term Innovation Agile Manufacturing Strategic Repositioning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15069628","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.15069629","name":"Re-Engineering for Resilience: Adapting to Tariffs in US Automotive and Aerospace Industries","source":"datacite","abstract":"The potential imposition of 25% tariffs on Canadian raw materials in 2025 presents a significant challenge to US automotive and aerospace industries1. These sectors rely on specific raw materials and finished products sourced from Canada2,3,5, tariffs could disrupt supply chains and increase costs5. However, a proactive approach involves re-engineering existing products to utilize different, readily available materials. This is where systems engineers play a crucial role, designing innovative solutions to maintain performance and mitigate the impact of the tariffs on the economy and on the people of the United States. Systems engineers are uniquely positioned to tackle this challenge. Their expertise in design, analysis, and optimization allows them to evaluate existing products8, identify materials vulnerable to tariffs, and develop alternative material strategies.","url":"https://doi.org/10.5281/zenodo.15069629","authors":["Olaniyi, Gbolahan","Martin, Paul"],"tags":["Systems Engineering Lifecycle Model System Requirements Definition (SRD) Design Definition (DD) System Architecture Definition (SAD) Verification and Validation (V&amp;V)","Digital Twin Finite Element Analysis (FEA) Material Supply and Acquisition Alternative Materials Composite Materials","Tariff-vulnerable Components Supply Chain Coordination Substitution Strategy Resource Constraints Trade Disruption Strategic Supplier Partnerships Automotive Industry Aerospace Industry","Electric Vehicle Infrastructure Emission Regulations Crash Testing Roadworthiness Standards Tariffs Trade Policy","NHTSA EPA CAFE Standards IIHS Euro NCAP Emissions Regulations","Economic Impact Sustainability Long-Term Innovation Agile Manufacturing Strategic Repositioning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.15069629","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2106.06604","name":"Verified Synthesis of Optimal Safety Controllers for Human-Robot Collaboration","source":"datacite","abstract":"We present a tool-supported approach for the synthesis, verification and validation of the control software responsible for the safety of the human-robot interaction in manufacturing processes that use collaborative robots. In human-robot collaboration, software-based safety controllers are used to improve operational safety, e.g., by triggering shutdown mechanisms or emergency stops to avoid accidents. Complex robotic tasks and increasingly close human-robot interaction pose new challenges to controller developers and certification authorities. Key among these challenges is the need to assure the correctness of safety controllers under explicit (and preferably weak) assumptions. Our controller synthesis, verification and validation approach is informed by the process, risk analysis, and relevant safety regulations for the target application. Controllers are selected from a design space of feasible controllers according to a set of optimality criteria, are formally verified against correctness criteria, and are translated into executable code and validated in a digital twin. The resulting controller can detect the occurrence of hazards, move the process into a safe state, and, in certain circumstances, return the process to an operational state from which it can resume its original task. We show the effectiveness of our software engineering approach through a case study involving the development of a safety controller for a manufacturing work cell equipped with a collaborative robot.","url":"https://doi.org/10.48550/arxiv.2106.06604","authors":["Gleirscher, Mario","Calinescu, Radu","Douthwaite, James","Lesage, Benjamin","Paterson, Colin","Aitken, Jonathan","Alexander, Rob","Law, James"],"tags":["Robotics (cs.RO)","Human-Computer Interaction (cs.HC)","Software Engineering (cs.SE)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.48550/arxiv.2106.06604","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2503.11944","name":"Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives","source":"datacite","abstract":"Digital twins (DTs) are redefining healthcare by paving the way for more personalized, proactive, and intelligent medical interventions. As the shift toward personalized care intensifies, there is a growing need for an individual's virtual replica that delivers the right treatment at the optimal time and in the most effective manner. The emerging concept of a Human Digital Twin (HDT) holds the potential to revolutionize the traditional healthcare system much like digital twins have transformed manufacturing and aviation. An HDT mirrors the physical entity of a human body through a dynamic virtual model that continuously reflects changes in molecular, physiological, emotional, and lifestyle factors. This digital representation not only supports remote monitoring, diagnosis, and prescription but also facilitates surgery, rehabilitation, and overall personalized care, thereby relieving pressure on conventional healthcare frameworks. Despite its promising advantages, there are considerable research challenges to overcome as HDT technology evolves. In this study, I will initially delineate the distinctions between traditional digital twins and HDTs, followed by an exploration of the networking architecture integral to their operation--from data acquisition and communication to computation, management, and decision-making--thereby offering insights into how these innovations may reshape the modern healthcare industry.","url":"https://doi.org/10.48550/arxiv.2503.11944","authors":["Mokhtari, Melvin"],"tags":["Human-Computer Interaction (cs.HC)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.11944","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48448/5c5t-hk04","name":"Increasing Process Stability Using a Digital Twin for DED-LB","source":"datacite","abstract":"Additive Manufacturing (AM) enables the production of functional and complex parts in a resource-efficient way, only applying the material to the desired location. Especially Laser- based-Directed Energy Deposition (DED-LB) enables an excellent trade-off between production time and part complexity. However, this metal AM technology is currently lacking in process stability, which limits a further industrialization. To overcome this, various industrial and academic efforts are focusing on investigating the application of digital process representations, often referred to as Digital Twins (DT), to improve the stability of DED-LB. This contribution presents a complete framework for a digital twin of the DED-LB process consisting of three major pillars. At first, a modular digitization framework for DED-LB is presented that utilizes an edge-cloud computing methodology to fuse data streams from multiple sensors monitoring the laser- induced melt pool during production. The second pillar incorporates a thermal simulation model to predict the essential melt pool characteristics before the actual printing process. As third, a physics-informed neural network approach is applied to substantially reduce the computational time and efforts of the simulation’s melt pool predictions. In summary, the presentation showcases a path towards data-based process control of an industrial-grade laser-based manufacturing system by utilizing digitization, physics-based simulation, and artificial intelligence.","url":"https://doi.org/10.48448/5c5t-hk04","authors":["Laser Institute of America 2024","Hartmann, Sebastian","Mayr, Peter"],"tags":["Physics","Optics and Lasers"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48448/5c5t-hk04","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48448/2vhn-5a25","name":"Towards a digital twin with generative adversarial network modelling of machining vibration","source":"datacite","abstract":"Transition towards Industry 4.0 relies heavily on manufacturing digitalisation. Digital twin plays a significant role among the pool of relevant technologies as a powerful tool that is expected provide digital access to detailed real-time monitoring of the physical processes and enable significant optimisation due to utilisation of big data acquired from them. Over the past years a significant number of works produced conceptual frameworks of digital twins and discussed their requirements and benefits. The research literature demonstrates application examples and proofs of concepts, although the content is less rich. This paper presents a generative model based on generative adversarial networks (GAN) for machining vibration data, discusses its performance and analyses the drawbacks. The proposed model includes process parameter inputs used to condition the features of generated signals. The control over the generator and a neural network architecture utilising techniques from style-transfer research provide the means to analyse the signal building blocks learned by the model and explore their relationship. The quality of the learned process representation is demonstrated using a dataset obtained from a machining time-domain simulation. The novel results constitute a critical component of a machining digital twin and open new research directions towards development of comprehensive manufacturing digital twins.","url":"https://doi.org/10.48448/2vhn-5a25","authors":["Democritus University of Thrace 2020","Kadirkamanathan, Visakan","Tiwari, Ashutosh","Zotov, Evgeny"],"tags":["Artificial Intelligence","Machine Learning","Neural Network"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.48448/2vhn-5a25","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.5091642","name":"Digital Twin Development Framework in the context of Fluid Structure Interaction","source":"datacite","abstract":"Digital Twin (DT) is a relatively new concept of creating a virtual counterpart (digital object) to a physical system, initially introduced in the context of manufacturing by Grieves. Since its introduction the term \"Digital Twin\" has been used rather broadly, leading to the distinction by Kritzinger et al. (2018) of Digital Model and Digital Shadow based on the degree of automation in data flow between the physical and digital objects. Meanwhile, Wagg et al. (2020) introduced the concept of the hierarchy of digital twins based on the operational capabilities. The common feature of various definitions is a continuous feedback loop between virtual and physical system, often with a scope of achieving a higher accuracy of predictive capabilities and more rapid and informed decision-making (Van der Valk et al., 2020). In the context of wind energy, digital twins are seen mainly as a tool for more effective asset management such as lifetime prediction (Tao et al., 2018; Branlard et al., 2020). However, DT technology can offer much wider potential applications ranging from design phase to specific operational improvements such as noise reduction, rotor imbalance or yaw misalignment detection. While individual existing technologies such as Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Machine Learning (ML), Bayesian methods, Multi-fidelity approaches already enable the tasks required of a DT such as verification and validation, physics-based modeling, data-augmented modelling and uncertainty quantification (Peherstorfer et al.,2018; Xiao and Cinnella, 2019; Renganathan et al., 2020), one of the main open challenges is the creation of a system that enables the interaction between the above-mentioned components (Wagg et al., 2020). Such a system is usually referred to as workflow. Unlike the majority of current wind turbine DTs that rely on existing SCADA data and strain gauge sensors, the twin discussed in this work integrates the data from pressure and acoustic sensors significantly expanding the possible use cases. Practical realisation of Supervisory and Operational pre-Digital Twins is straightforward with current software tools, meanwhile the development of full DTs is particularly dependent on availability and usability of fluid-structure interaction (FSI) simulation software packages with other components of the DT such as measurement system, machine learning modules, etc. In terms of IT infrastructure, several commercial packages such as ANSYS Workbench enable automation of FSI simulations and subsequent creation of DTs via ANSYS Twin Builder, while there is lack of well developed open-source alternative available to the researches. A possible solution is the integration of packages such as OpenFOAM, OpenFAST, XFOIL via louse coupling into the workflow through so-called wrappers. These wrappers can be seen as individual twin modules. In this regard, Octue platform offers a clear framework that specifies what each module can and/or must contain, as well as functions to validate incoming data and outputs, in addition to functions to check that a module itself is valid. Moreover, this framework deals with the task of combining individual modules together in hierarchies and networks. Further research in academic setting clearly necessitates the development of open-source libraries specifically facilitating implementation of DTs that incorporate FSI simulations. Moreover, realisation of logical frameworks such as the ones presented by Abdallah et al. (2017) and Bi and Zhao (2004) will be crucial for the future development of Digital Twins.","url":"https://doi.org/10.5281/zenodo.5091642","authors":["Marykovskiy, Yuriy","Clark, Thomas","Barber, Sarah","Chatzi, Eleni"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5091642","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.18154/rwth-2025-00699","name":"Data-driven model for process evaluation in wire EDM; 1. Auflage","source":"datacite","abstract":"The main areas of application for wire EDM are in tool and die making, as well as in engine and medical technology. It is mainly used in the production of high-priced products and is often the last decisive manufacturing technology. The process reliability and repeatability of this technology are therefore particularly important and can be guaranteed by correspondingly intelligent control and automation solutions. This, along with the digitalization of manufacturing processes in the context of Industry 4.0, requires the use of data-driven approaches in wire EDM. The objective of the present work was therefore to develop a data-driven model for the evaluation of the wire EDM process. This was to be based primarily on continuously recorded physical respectively electrical process data in order to ensure the transferability and general validity of the model. Machine learning models were trained with process data to evaluate the process solely based on the electrical process signals evaluated in real-time. This goal was to be achieved by developing a regression model to evaluate quality and a classification model to evaluate productivity. The scientific design framework in this work is determined in particular by the methods and techniques used in data analysis and the structure of the work is designed accordingly for the development of data-driven models. To this end, a system was first developed for the real-time recording of time and spatially resolved characterized individual discharges in the continuous process. After data processing, including systematic data reduction and feature extraction, characteristic values were correlated with process productivity and product quality in the following step. Based on the initial findings from the process data, a regression model was developed to evaluate product quality. For this purpose, a neural network was trained that predicts the curvature of the component based on continuously recorded data. The model shows good prediction accuracy and explains a significant part of the data variability. The productivity of the process was evaluated using a classification model. A deep learning approach was used, in which various forms of neural networks were used for the model architecture. The results showed high accuracy, especially considering that all tests were performed with completely unknown data. Finally, it was shown how the findings can be transferred to the development of a Digital Twin in an industrial setting. In cooperation with an AI software manufacturer and a wire EDM user, a Digital Twin was developed that can map the generated curvature of the workpiece in a dashboard using data processed in real-time.","url":"https://doi.org/10.18154/rwth-2025-00699","authors":["Küpper, Ugur"],"tags":["Hochschulschrift","EDM ; process monitoring ; machine learning ; digitalization ; data analysis"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.18154/rwth-2025-00699","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14874575","name":"Developing networked metrology systems to optimize smart manufacturing applications through real-time data integration","source":"datacite","abstract":"Smart manufacturing relies on real-time data integration to enhance efficiency, precision, and productivity in industrial operations. Networked metrology systems (NMS) play a crucial role in achieving this by ensuring accurate and reliable measurements across interconnected manufacturing processes. This paper explores the development of NMS to optimize smart manufacturing applications through real-time data integration. By leveraging advanced sensor networks, artificial intelligence (AI), and the Industrial Internet of Things (IIoT), NMS facilitate seamless data collection, analysis, and feedback, enabling adaptive manufacturing control. The study highlights the key components of NMS, including high-precision metrology instruments, wireless communication protocols, cloud-based data storage, and edge computing. These elements work in tandem to provide continuous monitoring, reducing measurement uncertainty and improving process stability. The integration of AI-driven analytics enhances predictive maintenance, process optimization, and decision-making by identifying deviations and ensuring corrective actions are taken in real time. Additionally, the paper examines various challenges in implementing NMS, such as data security, interoperability, and scalability. To address these concerns, the study proposes a robust framework incorporating blockchain for secure data transactions, standardized communication protocols for interoperability, and scalable architectures to accommodate evolving manufacturing demands. The findings indicate that adopting NMS significantly enhances manufacturing precision, reduces downtime, and lowers operational costs by minimizing errors and rework. The research further explores case studies where NMS have been successfully deployed in industries such as aerospace, automotive, and medical device manufacturing. These case studies demonstrate how real-time metrology integration leads to improved product quality, faster production cycles, and enhanced supply chain efficiency. Future research directions include the advancement of digital twin technology to create virtual models of manufacturing systems, enhancing predictive capabilities through AI-driven simulations. Furthermore, developing self-calibrating metrology instruments can further improve accuracy and reduce the need for manual intervention. In conclusion, networked metrology systems represent a transformative innovation in smart manufacturing by enabling real-time data integration, enhancing operational efficiency, and ensuring higher product quality. Their continued evolution, driven by AI, IIoT, and blockchain technologies, will shape the future of precision manufacturing.","url":"https://doi.org/10.5281/zenodo.14874575","authors":["Thompson Odion Igunma","Adeniyi Kehinde Adeleke","Zamathula Sikhakhane Nwokediegwu"],"tags":["Networked Metrology Systems, Smart Manufacturing, Real-time Data Integration, Industrial IoT, Artificial Intelligence, Predictive Maintenance, Process Optimization, Digital Twin, Blockchain, Edge Computing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14874575","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14874576","name":"Developing networked metrology systems to optimize smart manufacturing applications through real-time data integration","source":"datacite","abstract":"Smart manufacturing relies on real-time data integration to enhance efficiency, precision, and productivity in industrial operations. Networked metrology systems (NMS) play a crucial role in achieving this by ensuring accurate and reliable measurements across interconnected manufacturing processes. This paper explores the development of NMS to optimize smart manufacturing applications through real-time data integration. By leveraging advanced sensor networks, artificial intelligence (AI), and the Industrial Internet of Things (IIoT), NMS facilitate seamless data collection, analysis, and feedback, enabling adaptive manufacturing control. The study highlights the key components of NMS, including high-precision metrology instruments, wireless communication protocols, cloud-based data storage, and edge computing. These elements work in tandem to provide continuous monitoring, reducing measurement uncertainty and improving process stability. The integration of AI-driven analytics enhances predictive maintenance, process optimization, and decision-making by identifying deviations and ensuring corrective actions are taken in real time. Additionally, the paper examines various challenges in implementing NMS, such as data security, interoperability, and scalability. To address these concerns, the study proposes a robust framework incorporating blockchain for secure data transactions, standardized communication protocols for interoperability, and scalable architectures to accommodate evolving manufacturing demands. The findings indicate that adopting NMS significantly enhances manufacturing precision, reduces downtime, and lowers operational costs by minimizing errors and rework. The research further explores case studies where NMS have been successfully deployed in industries such as aerospace, automotive, and medical device manufacturing. These case studies demonstrate how real-time metrology integration leads to improved product quality, faster production cycles, and enhanced supply chain efficiency. Future research directions include the advancement of digital twin technology to create virtual models of manufacturing systems, enhancing predictive capabilities through AI-driven simulations. Furthermore, developing self-calibrating metrology instruments can further improve accuracy and reduce the need for manual intervention. In conclusion, networked metrology systems represent a transformative innovation in smart manufacturing by enabling real-time data integration, enhancing operational efficiency, and ensuring higher product quality. Their continued evolution, driven by AI, IIoT, and blockchain technologies, will shape the future of precision manufacturing.","url":"https://doi.org/10.5281/zenodo.14874576","authors":["Thompson Odion Igunma","Adeniyi Kehinde Adeleke","Zamathula Sikhakhane Nwokediegwu"],"tags":["Networked Metrology Systems, Smart Manufacturing, Real-time Data Integration, Industrial IoT, Artificial Intelligence, Predictive Maintenance, Process Optimization, Digital Twin, Blockchain, Edge Computing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14874576","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.34726/hss.2025.98821","name":"Erstellung eines Digitalen Schattens für eine flexible Fertigungszelle","source":"datacite","abstract":"Die Fertigungsindustrie steht vor der Herausforderung, ihre Systeme flexibler und effizienter zu gestalten, um schnell auf veränderte Produktionsbedingungen reagieren zu können. Ein vielversprechender Ansatz ist die Entwicklung eines Digitalen Schattens – einer Digitalen Abbildung eines realen Systems, die es ermöglicht, Prozesse in Echtzeit zu simulieren, zu überwachen und zu optimieren. Diese Arbeit untersucht die Konzeption und Implementierung eines solchen Digitalen Schattens für eine flexible Fertigungszelle und zeigt die Vorteile dieser Technologie für die Produktionsoptimierung auf. Im Zentrum der Untersuchung steht die Abbildung physikalischer Eigenschaften der Fertigungszelle in einem Simulationsprogramm, das automatische Anpassungen bei Änderungen im realen System ermöglicht. Ein besonderer Fokus liegt auf der effizienten Datenübertragung in Echtzeit, um eine realitätsnahe Simulation zu gewährleisten. Durch die Integration gängiger Schnittstellen und die Entwicklung eines intuitiven Benutzerinterfaces wird der Digitale Schatten zu einem vielseitigen Werkzeug für Analyse und Steuerung. Zudem bietet die Speicherung und spätere Wiedergabe von Zeiträumen in der Simulation die Möglichkeit zur detaillierten Prozessanalyse. Die Arbeit betont den Mehrwert des Digitalen Schattens für die flexible Fertigung: von der schnellen Aktualisierung physikalischer Änderungen über die Implementierung neuer Systemkomponenten bis hin zur Visualisierung der Aktivität im dreidimensionalen Raum. Eine kritische Auseinandersetzung mit der Datenübertragung, Genauigkeit und Stabilität der Simulation hebt sowohl die Herausforderungen als auch das Optimierungspotenzial dieser Technologie hervor. Die Ergebnisse zeigen, dass die Implementierung eines Digitalen Schattens eine effektive Methode zur Steigerung der Effizienz in Fertigungsprozessen darstellt und einen wertvollen Beitrag zur digitalen Transformation in der Industrie leistet. Der Ausblick auf zukünftige Arbeiten weist auf Möglichkeiten zur Weiterentwicklung in Richtung Digitaler Zwilling, die Anwendung in weiteren Fertigungszellen sowie die Optimierung von Genauigkeit, Portabilität und zentraler Datenverarbeitung hin.","url":"https://doi.org/10.34726/hss.2025.98821","authors":["Zwölfer, Benedikt"],"tags":["Digital Shadow","Flexible Fertigungszelle","Digital Shadow","Flexible Manufacturing Cell"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.34726/hss.2025.98821","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2409.19005","name":"What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications","source":"datacite","abstract":"The concept of digital twins has attracted significant attention across various domains, particularly within the built environment. However, there is a sheer volume of definitions and the terminological consensus remains out of reach. The lack of a universally accepted definition leads to ambiguities in their conceptualization and implementation, and may cause miscommunication for both researchers and practitioners. We employed Natural Language Processing (NLP) techniques to systematically extract and analyze definitions of digital twins from a corpus of more than 15,000 full-text articles spanning diverse disciplines. The study compares these findings with insights from an expert survey that included 52 experts. The study identifies concurrence on the components that comprise a ``Digital Twin'' from a practical perspective across various domains, contrasting them with those that do not, to identify deviations. We investigate the evolution of digital twin definitions over time and across different scales, including manufacturing, building, and urban/geospatial perspectives. We extracted the main components of Digital Twins using Text Frequency Analysis and N-gram analysis. Subsequently, we identified components that appeared in the literature and conducted a Chi-square test to assess the significance of each component in different domains. Our analysis identified key components of digital twins and revealed significant variations in definitions based on application domains, such as manufacturing, building, and urban contexts. The analysis of DT components reveal two major groups of DT types: High-Performance Real-Time (HPRT) DTs, and Long-Term Decision Support (LTDS) DTs. Contrary to common assumptions, we found that components such as simulation, AI/ML, real-time capabilities, and bi-directional data flow are not yet fully mature in the digital twins of the built environment.","url":"https://doi.org/10.48550/arxiv.2409.19005","authors":["Abdelrahman, Mahmoud","Macatulad, Edgardo","Lei, Binyu","Quintana, Matias","Miller, Clayton","Biljecki, Filip"],"tags":["Computation and Language (cs.CL)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.19005","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.60893/figshare.jva.c.7672268","name":"Spatial Atomic Layer Deposition: Transport-Reaction Modeling and Experimental Validation of Film Geometry","source":"datacite","abstract":"Spatial atomic layer deposition (SALD) is a powerful thin-film deposition technique to control surfaces and interfaces at the nanoscale. To further develop SALD technology, there is need to deepen our understanding of the effects that process parameters have on the deposited film uniformity. In this study, a 3-D computational model that incorporates laminar-flow fluid mechanics and transport of diluted species is developed to provide insight into the velocity streamlines and partial-pressure distributions within the process region of a close-proximity atmospheric-pressure spatial atomic layer deposition (AP-SALD) system. The outputs of this transport model are used as the inputs to a surface reaction model that simulates the self-limiting chemical reactions. These coupled models allow for prediction of the film thickness profiles as they evolve in time, based on a relative depositor/substrate motion path. Experimental validation and model parameterization are performed using a mechatronic AP-SALD system, which enable the direct comparison of the simulated and experimentally measured geometry of deposited TiO 2 films. Characteristic features in the film geometry are identified, and the model is used to reveal their physical and chemical origins. The influence of custom motion paths on the film geometry is also experimentally and computationally investigated. In the future, this digital-twin model will allow for the capability to rapidly simulate and predict SALD behavior, enabling a quantitative evaluation of the manufacturing tradeoffs between film quality, throughput, cost, and sustainability for close-proximity AP-SALD systems.","url":"https://doi.org/10.60893/figshare.jva.c.7672268","authors":["Dasgupta, Neil","Penley, Daniel"],"tags":["Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.60893/figshare.jva.c.7672268","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.60893/figshare.jva.c.7672268.v1","name":"Spatial Atomic Layer Deposition: Transport-Reaction Modeling and Experimental Validation of Film Geometry","source":"datacite","abstract":"Spatial atomic layer deposition (SALD) is a powerful thin-film deposition technique to control surfaces and interfaces at the nanoscale. To further develop SALD technology, there is need to deepen our understanding of the effects that process parameters have on the deposited film uniformity. In this study, a 3-D computational model that incorporates laminar-flow fluid mechanics and transport of diluted species is developed to provide insight into the velocity streamlines and partial-pressure distributions within the process region of a close-proximity atmospheric-pressure spatial atomic layer deposition (AP-SALD) system. The outputs of this transport model are used as the inputs to a surface reaction model that simulates the self-limiting chemical reactions. These coupled models allow for prediction of the film thickness profiles as they evolve in time, based on a relative depositor/substrate motion path. Experimental validation and model parameterization are performed using a mechatronic AP-SALD system, which enable the direct comparison of the simulated and experimentally measured geometry of deposited TiO 2 films. Characteristic features in the film geometry are identified, and the model is used to reveal their physical and chemical origins. The influence of custom motion paths on the film geometry is also experimentally and computationally investigated. In the future, this digital-twin model will allow for the capability to rapidly simulate and predict SALD behavior, enabling a quantitative evaluation of the manufacturing tradeoffs between film quality, throughput, cost, and sustainability for close-proximity AP-SALD systems.","url":"https://doi.org/10.60893/figshare.jva.c.7672268.v1","authors":["Dasgupta, Neil","Penley, Daniel"],"tags":["Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.60893/figshare.jva.c.7672268.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.3929/ethz-b-000589459","name":"Exploiting Virtual Elasticity of Production Systems to Respect OTD—Part 3: Basic Considerations for Modelling CPPS Characterized by Non-Ergodic Order Entry and Non-Deterministic Product-Mix for Fully Flexible Addressable Workstations","source":"datacite","abstract":"The recently experienced hype concerning the so-called “4th Industrial Revolution” of production systems has prompted several papers of various subtopics regarding Cyber-Phdysical Production Systems (CPPS). However, important aspects such as the modelling of CPPS to understand the theory regarding the performance of highly non-ergodic and non-deterministic flexible manufacturing systems in terms of Exit Rate (ER), Manufacturing Lead Time (MLT), and On-Time Delivery (OTD) have not yet been examined systematically and even less modeled analytically. To develop the topic, in this paper, the prerequisites for modelling such systems are defined in order to be able to derive an explicit and dedicated production mathematics-based understanding of CPPS and its dynamics: switching from explorative simulation to rational modelling of the manufacturing “physics” led to an own and specific manufacturing theory. The findings have led to enouncing, among others, the Theorem of Non-Ergodicity as well as the Batch Cycle Time Deviation Function giving important insights to model digital twin-based CPPS for complying with the mandatory OTD.","url":"https://doi.org/10.3929/ethz-b-000589459","authors":["Rüttimann, Bruno G.","Stöckli, Martin T."],"tags":["On-Time-Delivery","Production System","Industry 4.0","CPPS","IoT","Stochastic Arrival Rate","Non-Ergodic Process","Virtual Elasticity"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.3929/ethz-b-000589459","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.48550/arxiv.2503.02167","name":"Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges","source":"datacite","abstract":"Digital twin technology is a transformative innovation driving the digital transformation and intelligent optimization of manufacturing systems. By integrating real-time data with computational models, digital twins enable continuous monitoring, simulation, prediction, and optimization, effectively bridging the gap between the physical and digital worlds. Recent advancements in communication, computing, and control technologies have accelerated the development and adoption of digital twins across various industries. However, significant challenges remain, including limited data for accurate system modeling, inefficiencies in system analysis, and a lack of explainability in the interactions between physical and digital systems. The rise of large language models (LLMs) offers new avenues to address these challenges. LLMs have shown exceptional capabilities across diverse domains, exhibiting strong generalization and emergent abilities that hold great potential for enhancing digital twins. This paper provides a comprehensive review of recent developments in LLMs and their applications to digital twin modeling. We propose a unified description-prediction-prescription framework to integrate digital twin modeling technologies and introduce a structured taxonomy to categorize LLM functionalities in these contexts. For each stage of application, we summarize the methodologies, identify key challenges, and explore potential future directions. To demonstrate the effectiveness of LLM-enhanced digital twins, we present an LLM-enhanced enterprise digital twin system, which enables automatic modeling and optimization of an enterprise. Finally, we discuss future opportunities and challenges in advancing LLM-enhanced digital twins, offering valuable insights for researchers and practitioners in related fields.","url":"https://doi.org/10.48550/arxiv.2503.02167","authors":["Yang, Linyao","Luo, Shi","Cheng, Xi","Yu, Lei"],"tags":["Emerging Technologies (cs.ET)","Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.02167","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.15480/882.8938","name":"Optimizing raw material composition to increase sustainability in porcelain tile production: A simulation-based approach","source":"datacite","abstract":"Reducing the environmental impact of porcelain tile production while maintaining cost-effectiveness is challenging. This work introduced a novel modeling approach for optimizing a standard composition range comprising kaolinite (15–38 wt.%), illite (0–20 wt.%), quartz (20–40 wt.%), and feldspar (20–45 wt.%) to establish a robust composition interval for porcelain stoneware tiles. The proposed study considers several factors, such as composition impact on the manufacturing sequence, production costs, and CO2 emission. A flowsheet simulation database was generated by coupling the Dyssol framework with MATLAB. This study investigated the influence of raw material composition within the process sequence, the total CO2 emissions, and production costs within the contexts of Spain and Brazil, two of the top five global producers. Granules with a higher proportion of talc and illite exhibit reduced moisture content after spray drying, and these combinations have lower green body porosity after compaction. The addition of talc allowed for decreased porosity content after compaction reduced firing temperature, and lowered costs and CO2 emissions despite the higher prices associated with talc. The proposed simulation methodology offers a powerful decision-making tool for optimizing raw material composition to minimize cost and CO2 emissions in the porcelain tile production. This methodology represents an early stride toward integrating digital twin methodologies within the ceramic tile sector, facilitating improved process regulation, and promoting the adoption of digital technologies.","url":"https://doi.org/10.15480/882.8938","authors":["Lourenco Alves, Carine","Skorych, Vasyl","Noni, Agenor de","Hotza, Dachamir","Gómez González, Sergio Yesid","Heinrich, Stefan"],"tags":["digitalization","optimization","porcelain tile","simulation","Engineering and Applied Operations"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15480/882.8938","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.15480/882.14185","name":"Geometric digital twins of long-living assets: uncertainty-aware 3D images from measurement and CAD data","source":"datacite","abstract":"Geometric digital twins (gDT) of long-living assets are formed from a multitude of different data sources like CAD or measurement data imaging as-designed to sensory-based acquired as-is states. Change detection techniques allow merging 3D data pairwise, deriving a geometric digital twin of the physical asset. However, positional uncertainties must be considered to account for the data’s reliability when facing different kinds of data sources. The contribution of this work provides the ability to specify (an-)isotropic positional uncertainty quantities for meshes and even sparse point clouds in advance, enabling uncertainty-aware change detection. In the case of sensory-based as-is data, uncertainty is defined by the measurement process, while in the case of as-designed CAD data, the uncertainty relates, e.g., to manufacturing tolerances. Instead of testing on equal means during point-wise comparison as in M3C2, we utilize the Bhattacharyya distance measure to quantify the (dis)similarity between correspondences during change detection.","url":"https://doi.org/10.15480/882.14185","authors":["Moenck, Keno","Schüppstuhl, Thorsten"],"tags":["Technology::681: Precision Instruments and Other Devices::681.2: Testing, Measuring, Sensing Instruments"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15480/882.14185","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.15480/882.14252","name":"Integration of smart hand tools and digital assistance systems","source":"datacite","abstract":"Despite industrial production becoming more automated and digitalised, manual work remains indispensable. Work tasks are still largely carried out using conventional hand tools and paper-based documents, which leads to problems in productivity and quality. Smart hand tools can improve quality by controlling diameters, rotation speed or torque and documenting recorded feedback data. To do this, they need information on the current context, such as the tool's position or the production progress. In many cases, the context is either not integrated or is programmed statically into the tools with considerable effort. Digital assistance systems, on the other hand, gather and process data about the context in order to increase productivity by displaying information for conventional manual assembly processes. However, they do not support work processes carried out with smart tools. Integrating the tools into the assistance systems makes it possible to generate content and context for the tools in a generic and efficient manner, while also supporting value-adding and tool-dependent work tasks. This paper presents such an integrated digital assistance system in detail and validates it in a laboratory environment with regard to potentials and general usability.","url":"https://doi.org/10.15480/882.14252","authors":["Piontek, Simon","Gäbler, Marcel","Lödding, Hermann"],"tags":["Digital Assistance System | Digital Twin | IIoT | Smart Tools","Technology::670: Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15480/882.14252","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5445/ir/1000179634","name":"Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing","source":"datacite","abstract":"Semiconductor manufacturing systems are highly complex due to intricate processes and material flows. Operating these systems efficiently remains a significant challenge, particularly under the growing demands for operational excellence and cost reduction. Current approaches often rely on extensive manual modeling, which slows down production planning and adaptation. To address these challenges, we propose a data-driven methodology for Automatic Simulation Model Generation (ASMG), enhanced by machine learning techniques. This fully automated pipeline extracts and processes production data (lot tracking information and resource states) to generate simulation models without manual intervention. A machine learning technique called equipment emulation captures complex tool behaviors and mitigates issues with noisy or incomplete data. Validation in two real-world semiconductor production environments, covering over 300 days and showing an accuracy within 5–7% for throughput and uptime, demonstrates the method’s ability to produce precise models. By reducing the time and expertise required for model creation, this ASMG method facilitates agile digital twin implementations and enables faster, more responsive production planning","url":"https://doi.org/10.5445/ir/1000179634","authors":["Behrendt, Sebastian","Altenmüller, Thomas","May, Marvin Carl","Kuhnle, Andreas","Lanza, Gisela"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5445/ir/1000179634","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14934995","name":"Internet of Things (IoT)-Enabled Smart Manufacturing Systems Architectures, Technologies, and Applications","source":"datacite","abstract":"At the intersection of digital innovation and industrial transformation, IoT-enabled smart manufacturing is redefining how production systems operate. This paper explores how integrating IoT, cloud computing, AI, edge computing, and digital twin technology is revolutionizing manufacturing. By critically examining established architectural frameworks—from the traditional three-layer model to advanced paradigms such as RAMI 4.0 and IIRA—they illustrate how seamless data flow and real-time communication among sensors, smart devices, and cloud infrastructures are achieved. The study delves into the synergistic benefits that these technologies offer, including enhanced predictive maintenance, optimized supply chain management, and improved human-machine collaboration. It also investigates the technical, economic, and regulatory challenges accompanying these systems' deployment, particularly in complex industrial settings like underground mining and smart automotive manufacturing. Through a detailed synthesis of current research and practical applications, this work highlights the transformative potential of IoT-enabled smart manufacturing and charts a path for future innovations to build more agile, resilient, and sustainable industrial ecosystems. The insights provided serve as a robust foundation for academic inquiry and real-world implementation, emphasizing the critical role of digital integration in the ongoing evolution toward Industry 4.0.","url":"https://doi.org/10.5281/zenodo.14934995","authors":["VIVEK SHARMA"],"tags":["IoT, smart manufacturing, Industry 4.0, predictive maintenance, cloud computing, edge computing, cybersecurity, interoperability, AI integration."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14934995","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14934996","name":"Internet of Things (IoT)-Enabled Smart Manufacturing Systems Architectures, Technologies, and Applications","source":"datacite","abstract":"At the intersection of digital innovation and industrial transformation, IoT-enabled smart manufacturing is redefining how production systems operate. This paper explores how integrating IoT, cloud computing, AI, edge computing, and digital twin technology is revolutionizing manufacturing. By critically examining established architectural frameworks—from the traditional three-layer model to advanced paradigms such as RAMI 4.0 and IIRA—they illustrate how seamless data flow and real-time communication among sensors, smart devices, and cloud infrastructures are achieved. The study delves into the synergistic benefits that these technologies offer, including enhanced predictive maintenance, optimized supply chain management, and improved human-machine collaboration. It also investigates the technical, economic, and regulatory challenges accompanying these systems' deployment, particularly in complex industrial settings like underground mining and smart automotive manufacturing. Through a detailed synthesis of current research and practical applications, this work highlights the transformative potential of IoT-enabled smart manufacturing and charts a path for future innovations to build more agile, resilient, and sustainable industrial ecosystems. The insights provided serve as a robust foundation for academic inquiry and real-world implementation, emphasizing the critical role of digital integration in the ongoing evolution toward Industry 4.0.","url":"https://doi.org/10.5281/zenodo.14934996","authors":["VIVEK SHARMA"],"tags":["IoT, smart manufacturing, Industry 4.0, predictive maintenance, cloud computing, edge computing, cybersecurity, interoperability, AI integration."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14934996","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.25673/117256","name":"Method for information and process modelling towards the automation of security risk assessments","source":"datacite","abstract":"The importance of security for manufacturing systems is currently surging by the cause of two main aspects. Firstly, the increased modularity and flexibility of components, modules, and machines create a higher frequency of the required security risk assessments. Secondly, the highly dynamic threat landscape, the amount of available security-related information, and the growing degree of digitalisation emphasize the need for automated security risk assessments to support human experts with their currently mainly manual tasks. Therefore, this dissertation presents a method for information and process modelling towards the automation of security risk assessments for modular manufacturing systems. The first step of this method includes the information collection which uses swimlanes to specify a practical security risk assessment process based on the theoretical concepts from the available standardisation landscape. Afterwards, the second method step involves the information formalisation covering the integration of already established and acknowledged frameworks into the security risk assessment process in a technology- and implementation-agnostic way. Moreover, the third step of the method regarding information usage includes the elicitation of the human expert knowledge into rules based on predicate logic. Finally, the fourth method step includes the information access which describes the translation of the developed information model into a submodel of an asset administration shell, serving as the industrial implementation of a digital twin. By following these four method steps, the four main identified deficits of insufficient process coverage, missing standardised metrics, low approach maturity, and high abstraction levels within the state of the art are addressed. The results of this dissertation are the conceptual development and prototypical implementation of an expert system for automated security risk assessments regarding modular manufacturing systems. The overall evaluation shows a comparable result quality and process coverage between automated and manual performances of security risk assessments. Furthermore, the necessary level of knowledge for security risk assessments is decreased and the overall degree of automation is increased.","url":"https://doi.org/10.25673/117256","authors":["Ehrlich, Marco"],"tags":["Computersicherheit","Fertigungsautomatisierung","security risk assessments","process modelling","620.86"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.25673/117256","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14915162","name":"High-Fidelity Stochastic Model for Predicting Dross Formation and Surface Roughness in Laser Powder Bed Fusion","source":"datacite","abstract":"The mechanical performance and reliability of additive manufacturing (AM) parts, especially those fabricated using laser powder bed fusion (L-PBF), are critically influenced by the formation of dross and surface roughness. Accurate prediction of these defects is essential for preventing material waste and ensuring the reliability of mission-critical components. However, the complexity of the multiphysics phenomena involved has made such predictions challenging. This paper introduces a novel stochastic model for incorporation within the reverse Monte Carlo (RMC) framework, the cellular automata-driven probability propagation (CA-PP) model, designed specifically for L-PBF processes. The CA-PP model leverages high-density voxel representation to predict dross formation and surface roughness with extreme fidelity. Validation of the model was performed using two specimens: one fabricated from AlSi10Mg to evaluate dross formation and another from Haynes® 230 alloy™ to assess surface roughness. The CA-PP model demonstrated high accuracy in predicting both the magnitude and shape of dross formation, as well as the trends in surface roughness parameters such as Sa, across varying overhang angles. Additionally, the computational performance of the model was evaluated, revealing that it is approximately 207 times faster than the actual L-PBF fabrication process when using a voxel size of 0.06 mm. These results underscore the potential of the CA-PP model as a high-speed simulation designed to enable advanced digital twin implementation. By providing rapid and accurate predictions of major defects that significantly impact additive manufacturing quality, this model aims to proactively identify and mitigate defects through process control. Ultimately, the goal is to enhance the reliability and efficiency of L-PBF processes, establishing a strong foundation for next-generation digital twin frameworks.","url":"https://doi.org/10.5281/zenodo.14915162","authors":["Seungyeop, Lee"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14915162","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14915163","name":"High-Fidelity Stochastic Model for Predicting Dross Formation and Surface Roughness in Laser Powder Bed Fusion","source":"datacite","abstract":"The mechanical performance and reliability of additive manufacturing (AM) parts, especially those fabricated using laser powder bed fusion (L-PBF), are critically influenced by the formation of dross and surface roughness. Accurate prediction of these defects is essential for preventing material waste and ensuring the reliability of mission-critical components. However, the complexity of the multiphysics phenomena involved has made such predictions challenging. This paper introduces a novel stochastic model for incorporation within the reverse Monte Carlo (RMC) framework, the cellular automata-driven probability propagation (CA-PP) model, designed specifically for L-PBF processes. The CA-PP model leverages high-density voxel representation to predict dross formation and surface roughness with extreme fidelity. Validation of the model was performed using two specimens: one fabricated from AlSi10Mg to evaluate dross formation and another from Haynes® 230 alloy™ to assess surface roughness. The CA-PP model demonstrated high accuracy in predicting both the magnitude and shape of dross formation, as well as the trends in surface roughness parameters such as Sa, across varying overhang angles. Additionally, the computational performance of the model was evaluated, revealing that it is approximately 207 times faster than the actual L-PBF fabrication process when using a voxel size of 0.06 mm. These results underscore the potential of the CA-PP model as a high-speed simulation designed to enable advanced digital twin implementation. By providing rapid and accurate predictions of major defects that significantly impact additive manufacturing quality, this model aims to proactively identify and mitigate defects through process control. Ultimately, the goal is to enhance the reliability and efficiency of L-PBF processes, establishing a strong foundation for next-generation digital twin frameworks.","url":"https://doi.org/10.5281/zenodo.14915163","authors":["Seungyeop, Lee"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14915163","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14913853","name":"DIGITAL MODELING IN MICRO-MILLING DETAIL PROCESSING TECHNOLOGIES","source":"datacite","abstract":"This article discusses the technologies and approaches for micro-milling parts in the manufacturing process. Automation of the micro-milling process allows for increased efficiency, time savings, and high-quality, high-precision machining of parts. The introduction of neural networks into the process helps to predict and optimize complex uncertainties that arise during the milling process. In particular, digital twin modeling is the basis for accurately representing an individual, allowing digital twins to provide functional services and meet application requirements. IDEF refers to a family of modeling languages that include a wide range of uses, from functional modeling to data, simulation, object-oriented analysis, and information gathering.","url":"https://doi.org/10.5281/zenodo.14913853","authors":["Sulyukova L.F., Iminjonova M.A."],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14913853","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14913852","name":"DIGITAL MODELING IN MICRO-MILLING DETAIL PROCESSING TECHNOLOGIES","source":"datacite","abstract":"This article discusses the technologies and approaches for micro-milling parts in the manufacturing process. Automation of the micro-milling process allows for increased efficiency, time savings, and high-quality, high-precision machining of parts. The introduction of neural networks into the process helps to predict and optimize complex uncertainties that arise during the milling process. In particular, digital twin modeling is the basis for accurately representing an individual, allowing digital twins to provide functional services and meet application requirements. IDEF refers to a family of modeling languages that include a wide range of uses, from functional modeling to data, simulation, object-oriented analysis, and information gathering.","url":"https://doi.org/10.5281/zenodo.14913852","authors":["Sulyukova L.F., Iminjonova M.A."],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14913852","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.6084/m9.figshare.28106395","name":"Applying Digital Twin Methods for Process-Structure-Property Correlation Assessment in Metal Additive Manufacturing with Limited Experimental Data","source":"datacite","abstract":"Additive manufacturing (AM) is expanding for fabricating complex, high-value, and large-size and low-volume parts. While AM holds significant potential for producing a variety of components, it is essential to conduct quality assessment of AM components to ensure their safe and reliable operation. Low-volume fabrication of parts imposes limitations on the number of inspection samples for quality verification. Limited availability of inspection samples can be addressed by nondestructive testing (NDT) of fabricated samples, and the development of digital twin models. In this study, the Process-Structure-Property (P-S-P) of stainless-steel AM parts fabricated via laser powder bed fusion technique are evaluated using a limited number of inspection samples by various material characterization and NDT. The correlation between process parameters and part properties has been assessed. Results indicate the P-S-P relationship where apart from the ultimate strength values, all experimental results display bimodal distributions, featuring two distinct modes. The correlation analysis reveals that higher laser power is associated with increased RF Z-score and Modulus. Utilizing the experimental findings, a FEM serving as a digital twin of the parts is constructed. This model enables the extension of quality assessment for the parts across a broader spectrum and facilitates the examination of P-S-P relations.","url":"https://doi.org/10.6084/m9.figshare.28106395","authors":["Marks, Malik","Aswani, Karnik","Weaver, Gregory","Dababneh, Fadwa","Taheri, Hossein"],"tags":["Space Science","Medicine","Genetics","FOS: Biological sciences","Chemical Sciences not elsewhere classified","Sociology","FOS: Sociology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.28106395","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.6084/m9.figshare.28106395.v1","name":"Applying Digital Twin Methods for Process-Structure-Property Correlation Assessment in Metal Additive Manufacturing with Limited Experimental Data","source":"datacite","abstract":"Additive manufacturing (AM) is expanding for fabricating complex, high-value, and large-size and low-volume parts. While AM holds significant potential for producing a variety of components, it is essential to conduct quality assessment of AM components to ensure their safe and reliable operation. Low-volume fabrication of parts imposes limitations on the number of inspection samples for quality verification. Limited availability of inspection samples can be addressed by nondestructive testing (NDT) of fabricated samples, and the development of digital twin models. In this study, the Process-Structure-Property (P-S-P) of stainless-steel AM parts fabricated via laser powder bed fusion technique are evaluated using a limited number of inspection samples by various material characterization and NDT. The correlation between process parameters and part properties has been assessed. Results indicate the P-S-P relationship where apart from the ultimate strength values, all experimental results display bimodal distributions, featuring two distinct modes. The correlation analysis reveals that higher laser power is associated with increased RF Z-score and Modulus. Utilizing the experimental findings, a FEM serving as a digital twin of the parts is constructed. This model enables the extension of quality assessment for the parts across a broader spectrum and facilitates the examination of P-S-P relations.","url":"https://doi.org/10.6084/m9.figshare.28106395.v1","authors":["Marks, Malik","Aswani, Karnik","Weaver, Gregory","Dababneh, Fadwa","Taheri, Hossein"],"tags":["Space Science","Medicine","Genetics","FOS: Biological sciences","Chemical Sciences not elsewhere classified","Sociology","FOS: Sociology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.28106395.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.6084/m9.figshare.28405953.v1","name":"Synergistic effects of robot performance on human–robot mutual assistance systems in manufacturing","source":"datacite","abstract":"In countries experiencing a growing shortage of human resources, collaboration with robots is indispensable for leveraging a diverse workforce and maintaining productivity. This study proposes a manufacturing system that simultaneously enhances overall productivity and reduces human workload through mutual assistance between humans and robots. By considering the characteristics of both humans and robots, task allocation was performed to balance the trade-off between productivity and workload. Furthermore, this study introduces a method for improving robot performance to maximize the benefit of mutual assistance. The proposed approach utilizes a digital twin, including humans, for a real-time evaluation of the human workload. Moreover, a novel grasp strategy for a magnetic gripper was proposed to improve the robot's picking success rate, thereby enhancing the effectiveness of the mutual assistance. Through a practical example of supply tasks in a real factory setting, we showcased the mutual assistance between a human worker and a mobile manipulator, confirming the potential of the proposed system. Our analysis of the human workload indicated that improvements in robot performance significantly increased the effectiveness of mutual assistance. The results demonstrated that productivity can be enhanced by up to 19% while simultaneously reducing the human workload by up to 15%.","url":"https://doi.org/10.6084/m9.figshare.28405953.v1","authors":["Shirakura, Naoki","Maruyama, Tsubasa","Makihara, Koshi","Ueshiba, Toshio","Itadera, Shunki","Endo, Yuki","Tada, Mitsunori","Domae, Yukiyasu"],"tags":["Space Science","Neuroscience","Pharmacology","Information Systems not elsewhere classified","Cancer","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.6084/m9.figshare.28405953.v1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.6084/m9.figshare.28405953","name":"Synergistic effects of robot performance on human–robot mutual assistance systems in manufacturing","source":"datacite","abstract":"In countries experiencing a growing shortage of human resources, collaboration with robots is indispensable for leveraging a diverse workforce and maintaining productivity. This study proposes a manufacturing system that simultaneously enhances overall productivity and reduces human workload through mutual assistance between humans and robots. By considering the characteristics of both humans and robots, task allocation was performed to balance the trade-off between productivity and workload. Furthermore, this study introduces a method for improving robot performance to maximize the benefit of mutual assistance. The proposed approach utilizes a digital twin, including humans, for a real-time evaluation of the human workload. Moreover, a novel grasp strategy for a magnetic gripper was proposed to improve the robot's picking success rate, thereby enhancing the effectiveness of the mutual assistance. Through a practical example of supply tasks in a real factory setting, we showcased the mutual assistance between a human worker and a mobile manipulator, confirming the potential of the proposed system. Our analysis of the human workload indicated that improvements in robot performance significantly increased the effectiveness of mutual assistance. The results demonstrated that productivity can be enhanced by up to 19% while simultaneously reducing the human workload by up to 15%.","url":"https://doi.org/10.6084/m9.figshare.28405953","authors":["Shirakura, Naoki","Maruyama, Tsubasa","Makihara, Koshi","Ueshiba, Toshio","Itadera, Shunki","Endo, Yuki","Tada, Mitsunori","Domae, Yukiyasu"],"tags":["Space Science","Neuroscience","Pharmacology","Information Systems not elsewhere classified","Cancer","Science Policy"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.6084/m9.figshare.28405953","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.34726/5490","name":"Digital Twin Preparation for the Prototyping Phase, a Use Case","source":"datacite","abstract":"Digital Twin (DT) is a growing topic within the manufacturing industry. Moreover, early adoption of a Digital Twin is believed to benefit the rest of the product’s life cycle, like production, maintenance, and recycling. As the physical counterpart of the product is built only in the prototyping phase, this step is thought to be the first phase of a Digital Twin. Still, it necessitates preparation to reduce time-to-market and hence the development costs. This paper shows the result of a Digital Twin preparation before the implementation on the prototype. This consists of creating a Digital Twin from the prototype of a complex logistic plant with a Discrete Event Simulation (DES) tool, and a dummy Open Platform Communications Unified Architecture (OPCUA) server communicating with each other. The methodology used is described with the use case of a logistic system simulated with an OPCUA Server on a Raspberry Pi. Although this work is specific to a particular use case, other researches may profit from the methodology applied and the experiences gathered for implementing a Digital Twin in the early phases of product development.","url":"https://doi.org/10.34726/5490","authors":["Pöchgraber, Gernot","Bougain, Sébastien","Trautner, Thomas","Jeepjua, Niphon","Bleicher, Friedrich"],"tags":["Digital twin","Discrete-Event Simulation","Product development"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.34726/5490","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-6205","name":"Оптимизация точности выполнения Ð¼ÐµÐ¶Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ñ€Ð°Ð·Ð¼ÐµÑ€Ð¾Ð² при обработке Ð½Ð°Ñ€ÑƒÐ¶Ð½Ñ‹Ñ Ñ†Ð¸Ð»Ð¸Ð½Ð´Ñ€Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð¿Ð¾Ð²ÐµÑ€Ñ Ð½Ð¾ÑÑ‚ÐµÐ¹","source":"datacite","abstract":"Эта статья состоит из трех основных разделов: 1. Цефровой двойник в промышленном производстве. 2. Технологический процесс изготовления детали «Тормозной диск». 3. Разработка установочно-зажимного приспособления для токарного. В первой части статьи рассматривается применение цифровых двойников в промышленном производстве, в том числе процесс создания имитационной модели токарного станка и способы повышения точности моделирования токарной обработки. Во второй части описывается процесс изготовления тормозных дисков, включая анализ детали, определение конкретных параметров обработки, расчет погрешностей, выбор станков и режущего инструмента, расчет припусков и межпереходных размеров, режим резания и так далее. В третьей части речь идет о проектировании станочных приспособлений, включая 3d-модели станочных приспособлений, расчет силы зажима, расчет погрешности установка.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-6205","authors":["Лю Ð–ÑƒÐ¹Ñ Ð°Ð¾"],"tags":["Машиностроение","цифровой двойник","умное производство","информационно-физические системы","Ð¼ÐµÐ¶Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ñ€Ð°Ð·Ð¼ÐµÑ€Ð¾Ð²","припуск","погрешность","точение"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-6205","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.3929/ethz-b-000682120","name":"Lenses on Data: Toward an Application Perspective on Data in Manufacturing","source":"datacite","abstract":"IFIP Advances in Information and Communication Technology, 731","url":"https://doi.org/10.3929/ethz-b-000682120","authors":["Albers, Alexander","Netland, Torbjörn"],"tags":["Business Analytics","Knowledge Management","Digital twin (DT)","info:eu-repo/classification/ddc/670","Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.3929/ethz-b-000682120","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14833197","name":"A Smart Manufacturing System Based on Cloud Computing","source":"datacite","abstract":"The latest advancements in new generation information technologies (New IT) significantly drive the evolution of smart manufacturing. In a smart manufacturing environment, an increasing number of devices are connected to the Internet, enabling the collection of vast amounts of data throughout all stages of the product lifecycle. The cloud-based smart manufacturing paradigm supports a wide range of applications and services designed to analyze large datasets and facilitate large-scale manufacturing collaboration. However, challenges such as network unavailability, bandwidth congestion, and latency issues limit its effectiveness for high-speed, low-latency real-time applications. Fog computing and edge computing extend the computational, storage, and networking capabilities of the cloud to the network edge, addressing these critical limitations. Building on the foundations of cloud, fog, and edge computing, this paper proposes a hierarchical reference architecture for smart manufacturing. This architecture is intended to be implemented within digital twin shop floors, offering promising opportunities for innovative applications in the manufacturing sector.","url":"https://doi.org/10.5281/zenodo.14833197","authors":["Suffi, Christopher"],"tags":["Cloud Computing","Cloud Computing/standards","Manufacturing engineering","Manufacturing and Industrial Facilities/classification"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14833197","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14833196","name":"A Smart Manufacturing System Based on Cloud Computing","source":"datacite","abstract":"The latest advancements in new generation information technologies (New IT) significantly drive the evolution of smart manufacturing. In a smart manufacturing environment, an increasing number of devices are connected to the Internet, enabling the collection of vast amounts of data throughout all stages of the product lifecycle. The cloud-based smart manufacturing paradigm supports a wide range of applications and services designed to analyze large datasets and facilitate large-scale manufacturing collaboration. However, challenges such as network unavailability, bandwidth congestion, and latency issues limit its effectiveness for high-speed, low-latency real-time applications. Fog computing and edge computing extend the computational, storage, and networking capabilities of the cloud to the network edge, addressing these critical limitations. Building on the foundations of cloud, fog, and edge computing, this paper proposes a hierarchical reference architecture for smart manufacturing. This architecture is intended to be implemented within digital twin shop floors, offering promising opportunities for innovative applications in the manufacturing sector.","url":"https://doi.org/10.5281/zenodo.14833196","authors":["Suffi, Christopher"],"tags":["Cloud Computing","Cloud Computing/standards","Manufacturing engineering","Manufacturing and Industrial Facilities/classification"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14833196","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-5646","name":"Simulation modelling and offline programming of industrial digital twins","source":"datacite","abstract":"The work is devoted to the creation of an industrial digital twin of a production cell for competitions in the «Digital Manufacturing» competency with the further consideration of predictive maintenance integration. Taking part in the Digital Skills competition at Kazan Digital Week as a technical expert in the «Digital Manufacturing» competency, I created a physical model of a production cell transferring a part, as well as its virtual version in the «Lean Manufacturing» software. The physical version consisted of a KUKA industrial robot, a conveyor belt with motion sensors, and a modeled and 3D printed part to complete the task. The digital twin was configured in the environment according to a given «base» and «tool», using the appropriate signals for the SCHUNK PZN+80-1 centric gripper, equipped with three fingers, as well as conveyor movement signals. According to the task, the robot had to place a part from the table onto the conveyor in a certain sequence. Next, the sensor at the beginning of the conveyor read the delivered part – the conveyor began to move. A sensor at the end of the conveyor would then read the parts arrival and send it back, where it would be read again by a sensor at the beginning of the conveyor and the robot would send the part to another designated location. Sending parts along the conveyor belt imitated full-fledged production work, limited by the competition and the corresponding task. Furthermore, I considered the possibilities of subsequent implementation for predictive maintenance – which is a process for managing equipment at an enterprise, which includes collecting and analyzing information about the condition of equipment in order to prepare and implement measures to prevent operational failures. This was done using analytical functions embedded in the software and analytical dashboards.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-5646","authors":["Шадривова, Дарья"],"tags":["Математическое моделирование","Промышленные предприятия","digital twin","digital manufacturing","robotic cell","predictive maintenance","цифровой двойник","цифровое производство"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-5646","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14808637","name":"A STUDY OF CAD/CAM APPLICATIONS IN MECHANICAL ENGINEERING","source":"datacite","abstract":"Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) have revolutionized Mechanical Engineering by enhancing precision, efficiency, and automation in design and production. CAD enables engineers to create, simulate, and optimize 2D/3D models, while CAM translates these designs into machine instructions for CNC machining, 3D printing, and robotic automation. Applications include product design, finite element analysis, CNC machining, and additive manufacturing. CAD/CAM reduces material waste, lowers costs, and improves productivity. Despite challenges like high costs and a steep learning curve, advancements in AI, cloud computing, and digital twin technology continue to enhance its impact, making CAD/CAM indispensable in modern engineering. A STUDY OF CAD/CAM APPLICATIONS IN MECHANICAL ENGINEERING","url":"https://doi.org/10.5281/zenodo.14808637","authors":["TAMILOLI"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14808637","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14808636","name":"A STUDY OF CAD/CAM APPLICATIONS IN MECHANICAL ENGINEERING","source":"datacite","abstract":"Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) have revolutionized Mechanical Engineering by enhancing precision, efficiency, and automation in design and production. CAD enables engineers to create, simulate, and optimize 2D/3D models, while CAM translates these designs into machine instructions for CNC machining, 3D printing, and robotic automation. Applications include product design, finite element analysis, CNC machining, and additive manufacturing. CAD/CAM reduces material waste, lowers costs, and improves productivity. Despite challenges like high costs and a steep learning curve, advancements in AI, cloud computing, and digital twin technology continue to enhance its impact, making CAD/CAM indispensable in modern engineering. A STUDY OF CAD/CAM APPLICATIONS IN MECHANICAL ENGINEERING","url":"https://doi.org/10.5281/zenodo.14808636","authors":["TAMILOLI"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14808636","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.21227/73cd-3668","name":"Experiments Dataset for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models","source":"datacite","abstract":"Contains data supporting the IEEE Access submission titled \"PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models\".Paper's Abstract:We introduce PerfCam, an open source Proof-of-Concept (PoC) digital twinning framework that combines camera and sensory data with 3D Gaussian Splatting and computer vision models for digital twinning, object tracking, and Key Performance Indicators (KPIs) extraction in industrial production lines. By utilizing 3D reconstruction and Convolutional Neural Networks (CNNs), PerfCam offers a semi-automated approach to object tracking and spatial mapping, enabling highly accurate digital twins that capture real-time KPIs such as availability, performance, Overall Equipment Effectiveness (OEE), and rate of conveyor belts in the production line.&nbsp;We validate the effectiveness of PerfCam through a practical deployment within realistic test production lines in the pharmaceutical industry and contribute an openly published dataset to support further research and development in the field. The results demonstrate PerfCam’s ability to deliver actionable insights through its precise digital twin capabilities, underscoring its value as an effective tool for developing usable digital twins in smart manufacturing environments and extracting operational analytics.","url":"https://doi.org/10.21227/73cd-3668","authors":["Gokan Khan, Michel","Guarese, Renan","Johnson, Fabian","Wang, Xi","Romero, Mario","Vachier, Jérémy","Kronqvist, Jan"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21227/73cd-3668","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14801527","name":"Developing sustainable solutions for energy efficiency in man facturing","source":"datacite","abstract":"Energy efficiency is crucial for sustainability and competitiveness in the manufacturing sector. This brief highlights methodologies and best practices from EU projects E2COMATION and DENiM aimed at optimising energy use across manufacturing processes. By employing techniques such as digitalisation, lifecycle assessment, and energy monitoring, these projects achieved notable reductions in energy consumption, ranging from 10% to 40% across pilot cases. The focus is on implementing advanced energy data measurement, digital twin technologies for process simulation, and efficient transportation to minimise CO2 emissions. The ultimate goal is to support manufacturers in adopting sustainable, energy-efficient practices that yield both environmental and economic benefits.","url":"https://doi.org/10.5281/zenodo.14801527","authors":["BALLARINO, ANDREA","Dosi, Veronica","McGibney, Alan","Menato, Silvia"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14801527","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14801528","name":"Developing sustainable solutions for energy efficiency in man facturing","source":"datacite","abstract":"Energy efficiency is crucial for sustainability and competitiveness in the manufacturing sector. This brief highlights methodologies and best practices from EU projects E2COMATION and DENiM aimed at optimising energy use across manufacturing processes. By employing techniques such as digitalisation, lifecycle assessment, and energy monitoring, these projects achieved notable reductions in energy consumption, ranging from 10% to 40% across pilot cases. The focus is on implementing advanced energy data measurement, digital twin technologies for process simulation, and efficient transportation to minimise CO2 emissions. The ultimate goal is to support manufacturers in adopting sustainable, energy-efficient practices that yield both environmental and economic benefits.","url":"https://doi.org/10.5281/zenodo.14801528","authors":["BALLARINO, ANDREA","Dosi, Veronica","McGibney, Alan","Menato, Silvia"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14801528","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5445/ir/1000178624","name":"Software-Defined Value Stream Process Systems","source":"datacite","abstract":"The increasing volatility of the markets and the growing demand for customized products are challenges for future production to ensure maximum flexibility and adaptabil- ity. This paper introduces software-defined value stream process systems (SVPSs), a novel approach that extends the concept of software-defined manufacturing into autonomous, reconfigurable production systems. SVPSs establish a cyber–physical chain that links product features to requirements, enabling their fulfillment through modular machine and process hardware. A modular construction kit of individually combinable hardware and associated software modules is presented. These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on a Digital Twin. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. By enabling virtual planning and commissioning of entire production lines, the SVPS concept provides an efficient and adaptable solution to meet the demands of volatile markets.","url":"https://doi.org/10.5445/ir/1000178624","authors":["Goebels, Max","Schulte, Alexander","Georgi, Patrick","Heimberger, Fabian","Schwalm, Jannik","Liewerenz, Oliver","Schäfer, Adrian","Fleischer, Jürgen","Verl, Alexander","Möhring, Hans-Christian","Schulze, Volker","Matthiesen, Sven","Parspour, Nejila"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5445/ir/1000178624","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14720104","name":"Digital twin framework for improved handling of soft and deformable products in food manufacturing","source":"datacite","abstract":"The automation of grading, handling and packaging of soft and deformable food products in the industry necessitates precision in manipulation, adaptive gripping, and real-time monitoring to ensure uniform quality and prevent damage. These aspects are the objectives of the European project AGILEHAND. This project aims at developing advanced technologies as a strategic instrument to improve flexibility, agility and reconfigurability of production and logistic systems of the manufacturing companies. In this context, this paper discusses the development of a data-driven framework for automated generation of simulation models for the realization of the digital twins in food factories. The core of this framework involves discrete event simulation: by real system data it is possible to streamline the reconfiguration of production and logistic systems. During this process, it is also possible to promptly identify design or process sequence problems at an early stage through cross-domain simulation. Firstly, this framework supports the project manager in scheduling production by optimising resources and minimising the order of Estimated Time of Arrival. Then, during the system monitoring phase, it simulates new scenario to find the proper corrective action when a significant deviation from the plan occurs. In the end, the accurate capture of dynamics arising in the physical layer allows an effective evaluation of their negative effects on the system’s overall operational state. This approach supports informed decision-making in planning and controlling logistics, production, and associated activities, providing a comprehensive framework for enhanced operational efficiency.","url":"https://doi.org/10.5281/zenodo.14720104","authors":["Iacovanelli, Matteo","Mazzuto, Giovanni","Ortenzi, Marco","Ciarapica, Filippo Emanuele","Bevilacqua, Maurizio","Rossi, Marco"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14720104","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14525329","name":"Digital twin framework for improved handling of soft and deformable products in food manufacturing","source":"datacite","abstract":"The automation of grading, handling and packaging of soft and deformable food products in the industry necessitates precision in manipulation, adaptive gripping, and real-time monitoring to ensure uniform quality and prevent damage. These aspects are the objectives of the European project AGILEHAND. This project aims at developing advanced technologies as a strategic instrument to improve flexibility, agility and reconfigurability of production and logistic systems of the manufacturing companies. In this context, this paper discusses the development of a data-driven framework for automated generation of simulation models for the realization of the digital twins in food factories. The core of this framework involves discrete event simulation: by real system data it is possible to streamline the reconfiguration of production and logistic systems. During this process, it is also possible to promptly identify design or process sequence problems at an early stage through cross-domain simulation. Firstly, this framework supports the project manager in scheduling production by optimising resources and minimising the order of Estimated Time of Arrival. Then, during the system monitoring phase, it simulates new scenario to find the proper corrective action when a significant deviation from the plan occurs. In the end, the accurate capture of dynamics arising in the physical layer allows an effective evaluation of their negative effects on the system’s overall operational state. This approach supports informed decision-making in planning and controlling logistics, production, and associated activities, providing a comprehensive framework for enhanced operational efficiency.","url":"https://doi.org/10.5281/zenodo.14525329","authors":["Iacovanelli, Matteo","Mazzuto, Giovanni","Ortenzi, Marco","Ciarapica, Filippo Emanuele","Bevilacqua, Maurizio","Rossi, Marco"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14525329","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14711046","name":"High-performance computation of wave propagation through elastic and piezoelectric media using dolfin-hpc","source":"datacite","abstract":"The GENEX project aims to develop an innovative digital twin-driven framework to optimize aircraft composite manufacturing and maintenance processes while ensuring safety. This interdisciplinary project focuses on creating advanced physical and data-driven simulations to predict structural damage using SHM technology with piezoelectric transducers. The project seeks to develop HPC-scalable models for structural health prediction, addressing wave propagation through elastic and piezoelectric media. The research involves coupling elastodynamic and electrostatic problems, with a systematic review of computational piezoelectric media. High-performance computing (HPC) is utilized to perform dispersion relation preserving wave propagation simulations, implemented using the FEM in the open-source code dolfinhpc. This work was presented at the ECCOMASS conference, June 3-, 2024.","url":"https://doi.org/10.5281/zenodo.14711046","authors":["Bhole, Ashish"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14711046","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.5281/zenodo.14711045","name":"High-performance computation of wave propagation through elastic and piezoelectric media using dolfin-hpc","source":"datacite","abstract":"The GENEX project aims to develop an innovative digital twin-driven framework to optimize aircraft composite manufacturing and maintenance processes while ensuring safety. This interdisciplinary project focuses on creating advanced physical and data-driven simulations to predict structural damage using SHM technology with piezoelectric transducers. The project seeks to develop HPC-scalable models for structural health prediction, addressing wave propagation through elastic and piezoelectric media. The research involves coupling elastodynamic and electrostatic problems, with a systematic review of computational piezoelectric media. High-performance computing (HPC) is utilized to perform dispersion relation preserving wave propagation simulations, implemented using the FEM in the open-source code dolfinhpc. This work was presented at the ECCOMASS conference, June 3-, 2024.","url":"https://doi.org/10.5281/zenodo.14711045","authors":["Bhole, Ashish"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14711045","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/2sjnjyybkz.2","name":"Digital-Twin Model Adoption in Malaysian Semiconductor Industry","source":"datacite","abstract":"The dataset encompasses responses from professionals in the semiconductor manufacturing sector, detailing their insights on the implementation and impact of Digital Twins. Presented in a tabular format, each entry denotes an individual's response, cataloged with timestamps and demographic information, including their role and sector within the industry. The questionnaire delved into various domains concerning Digital Twins, such as data storage efficiency, device interoperability, business implications, and infrastructure maturity. Respondents gauged their agreement on topics using options like \"Agree\" and \"Completely Agree\". Preliminary analysis indicates a general consensus recognizing the benefits of Digital Twins, although opinions fluctuate based on roles and individual experiences.","url":"https://doi.org/10.17632/2sjnjyybkz.2","authors":["jawad, Mohammed Saeed"],"tags":["Manufacturing Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Digital Twin Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.17632/2sjnjyybkz.2","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.17632/2sjnjyybkz.1","name":"Digital-Twin Model Adoption in Malaysian Semiconductor Industry","source":"datacite","abstract":"The dataset encompasses responses from professionals in the semiconductor manufacturing sector, detailing their insights on the implementation and impact of Digital Twins. Presented in a tabular format, each entry denotes an individual's response, cataloged with timestamps and demographic information, including their role and sector within the industry. The questionnaire delved into various domains concerning Digital Twins, such as data storage efficiency, device interoperability, business implications, and infrastructure maturity. Respondents gauged their agreement on topics using options like \"Agree\" and \"Completely Agree\". Preliminary analysis indicates a general consensus recognizing the benefits of Digital Twins, although opinions fluctuate based on roles and individual experiences.","url":"https://doi.org/10.17632/2sjnjyybkz.1","authors":["jawad, Mohammed Saeed"],"tags":["Manufacturing Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Digital Twin Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.17632/2sjnjyybkz.1","addedAt":"2026-09-01T01:47:41.244Z","updatedAt":"2026-09-01T01:47:41.244Z"},{"id":"doi:10.20944/preprints202502.0693.v1","name":"IoT-Cloud and Digital Twin Approach for HIL Structure Based on Inverse Kinematics Model and PLC for Controlling a Robotic Cell in the Framework of Industry 4.0","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202502.0693.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202502.0693.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-7012237/v1","name":"Adaptive Twice Laser Patterning for Aviation Thin-Wall Structures Using In-Situ Feature Border Identification","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7012237/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7012237/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202507.1171.v1","name":"One Health Prospects in Health and Safety at Work Organizational Ecosystems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.1171.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202507.1171.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.22541/au.173800623.32537195/v1","name":"Digital Twins Integrating AI, AR, VR, and Robotics: A Case Study of Smart Manufacturing Transformation","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.173800623.32537195/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.22541/au.173800623.32537195/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-5581060/v1","name":"Knowledge Mapping of Artificial Intelligence and Industry 4.0 Enabling Technologies in Fault Prediction of 3D Printed Implant Process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5581060/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5581060/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.20944/preprints202506.1307.v1","name":"Infrared-Guided Thermal Cycles in FEM Simulation of Laser Welding of Thin Aluminum Alloy Sheets","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.1307.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.20944/preprints202506.1307.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.21203/rs.3.rs-5950997/v1","name":"Semantic Drawn Robot Language : a method to extract robotic programs from physically drawn symbols","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5950997/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5950997/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.64898/2026.03.18.712590","name":"Fluorometric DNA Polymerase Activity Assay for Resource-Limited Enzyme Manufacturing","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.18.712590","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.64898/2026.03.18.712590","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.21203/rs.3.rs-3359998/v1","name":"A Digital Twin-Based Manufacturing System for Advanced Technical Training","source":"preprints","abstract":"Abstract The fast evolution of Industry 4.0 technologies has led to a new era of manufacturing systems, with Digital Twins at the forefront. These virtual replicas offer invaluable opportunities for simulation and optimization for new manufacturing processes, since their most transformative impact may lie in the realm of Advanced Technical Training. This article dives into the integration of Digital Twins into manufacturing systems, with a particular focus on their role in training engineers and technicians for real-world challenges, especially in the stone sector dimension. Through the InovMINERAL 4.0 project, it is possible to demonstrate how Digital Twins serve not just as diagnostic tools but as robust educational platforms. It was introduced a comprehensive remote training algorithm that ensures effective, secure, and hands-on training experiences. The algorithm covers everything from secure VPN setup to real-time machining simulations, providing a holistic training approach that prepares trainees for the complexities of modern manufacturing. As the industry shifts to a more digitized landscape, the proper implementation of Digital Twins in technical training emerges as a critical factor for maintaining competitiveness and fostering innovation.","url":"https://doi.org/10.21203/rs.3.rs-3359998/v1","authors":["Joel Oliveira Correia Vasco","Carlos Eduardo Cremonini","Carlos Alexandre Bento Capela","Agostinho Manuel Antunes da Silva","Marcelo Rudolfo Calvete Gaspar"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3359998/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.20944/preprints202401.1377.v1","name":"IoTwins: Implementing Distributed and Hybrid Digital Twins in Industrial Manufacturing and Facility Management Settings","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1377.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.20944/preprints202401.1377.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.20944/preprints202311.0071.v1","name":"Optimization Model and Strategy for Dynamic Material Distribution Scheduling Based on Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202311.0071.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202311.0071.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-3652246/v1","name":"Generative AI and digital twin integrated intelligent process planning��A conceptual framework","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3652246/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3652246/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.20944/preprints202310.1493.v1","name":"Research on the Digital Twin System of the Centring Process for High-Precision Lens","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.1493.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202310.1493.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-3425601/v1","name":"A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments","source":"preprints","abstract":"Abstract The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus,this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a Design of Experiments (DOE) in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.","url":"https://doi.org/10.21203/rs.3.rs-3425601/v1","authors":["David Apolinar Guerra-Zubiaga","Matheus Cardoso dos Santos","Razvan Cristian Voicu","Gershom Richards","Sean Gosnell","Gustavo Franco Barbosa"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3425601/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.20944/preprints202305.1758.v1","name":"Digital Twin Certified: Employing Virtual Testing of Digital Twins in Manufacturing to Ensure Quality Products","source":"preprints","abstract":"Quality products are a main focus for manufacturers. Product users only determine a product is a quality product if it performs in operation to the user’s perceived standard. Product manufactures need to take a product lifecycle quality (PLQ) perspective of quality and not simply focus on manufacturing quality control, which is more accurately specification control. Manufacturing is the key phase where products take their physical form. There are increasing costs and decreasing risk of different physical quality strategies. The information provided using digital twins and virtual testing promises to be both low risk and cost and has the potential to predict what the customer will experience in operation by testing products passively with data and actively with simulation to destruction. Digital Twin Certified (DTC) is proposed as the methodology for accomplishing this. DTC will be especially important for the adoption of additive manufacturing.","url":"https://doi.org/10.20944/preprints202305.1758.v1","authors":["Michael Grieves"],"tags":["Quality (philosophy)","Certification","Product (mathematics)","Control (management)","Manufacturing engineering"],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202305.1758.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2694710/v1","name":"A Digital Twin-driven Multi-resource Constrained Location System for Resource Allocation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2694710/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2694710/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-3203699/v1","name":"A product-level digital twin modelling approach for the full lifecycle","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3203699/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3203699/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2630784/v1","name":"Knowledge-Graph Based Multi-Domain Model Integration Method for Digital-Twin Workshops","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2630784/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2630784/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2428723/v1","name":"Quality monitoring of resistance spot welding based on digital twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2428723/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2428723/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2659308/v1","name":"Roles of Digital Twins on Material Performances and Utilization on Upstream Industry (The Case of Automotive Industry)","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2659308/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2659308/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2220331/v1","name":"Machine-Learning based process monitoring of automated composites manufacturing to enable digital twin development","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2220331/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2220331/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.20944/preprints202305.0424.v1","name":"Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202305.0424.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.20944/preprints202305.0424.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2058715/v1","name":"Design and modeling of self-organizing manufacturing system in digital twin shop-floor","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2058715/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2058715/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-2160960/v1","name":"Digital twin based dynamic prediction and simulation model of carbon efficiency in gear hobbing process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2160960/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2160960/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-3492494/v1","name":"Immune system inspired smart maintenance framework: Tool wear monitoring use case","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3492494/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3492494/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.64898/2025.12.12.693981","name":"Engineered AAV Capsids with Enhanced Extracellular Vesicle Loading via Rational Design and Directed Evolution","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2025.12.12.693981","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.64898/2025.12.12.693981","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.4457058","name":"A learning studio concept for piloting and evaluating hybrid didactic methods","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4457058","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4457058","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.21203/rs.3.rs-1457209/v1","name":"A Life-cycle Digital-twin Collaboration Framework Based-on Industrial Internet","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1457209/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1457209/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1270408/v1","name":"A Digital Twin Ecosystem for Additive Manufacturing using a Real-Time Development Platform","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1270408/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1270408/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-2647942/v1","name":"Understanding Structure-Processing Relationships in Metal Additive Manufacturing via Featurization of Microstructural Images","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2647942/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2647942/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1782556/v1","name":"Analysis of a Closed-Loop Digital Twin Using Discrete Event Simulation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1782556/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1782556/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1269092/v1","name":"Use Recognizable Digital twin in Virtual Measurement for General Both Evaluation of Additive &amp; Subtractive Manufacturing Process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1269092/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1269092/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1754427/v1","name":"A Digital Twin of Synchronized Circular Laser Array for Powder Bed Fusion Additive Manufacturing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1754427/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1754427/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1255881/v1","name":"Design and Research of Digital Twin Machine Tool Simulation and Monitoring System","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1255881/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1255881/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-2013744/v1","name":"A semantic-driven tradespace framework to accelerate aircraft manufacturing system design","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2013744/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2013744/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1355780/v1","name":"Research on the job shop scheduling problem based on digital twin and proximal policy optimization","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1355780/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1355780/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-2186337/v1","name":"Inferring material properties from CFRP processes via Sim-to-Real learning","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2186337/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2186337/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1560913/v1","name":"In-process identification of milling parameters based on digital twin driven intelligent algorithm","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1560913/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1560913/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-633211/v1","name":"A DTMEs-Based Digital Twin System Construction Method For Smart Factory","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-633211/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-633211/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1479271/v1","name":"A proposed integrated manufacturing system of a workshop producing brass accessories in the context of industry 4.0","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1479271/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1479271/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1864576/v1","name":"Clamping Force Model Application on the Aircraft Structural Assembly","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1864576/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1864576/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-554403/v1","name":"Construction of Intelligent Integrated Model Framework for the Workshop Manufacturing System Via Digital Twin","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-554403/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-554403/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1232905/v1","name":"Application of Digital Twins to Flexible Production Management: Taking a Shandong Factory as an Example","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1232905/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1232905/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1940773/v1","name":"Modeling a Remanufacturing Reverse Logistics Planning Problem: Some Insights into Disruptive Technology Adoption","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1940773/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1940773/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202104.0242.v1","name":"What Significance Will Digital Twin Have in an Industrial Environment in the Future ?","source":"preprints","abstract":"This paper is an attempt to forecast the potential application of Digital Twin in an industrial environment by adopting scenario analysis as part of technology monitoring. In recent years Digital Twin has become one of the most emerging topics in both the tech industry and academia. This field is the latest addition to industry 4.0. It has paved a great growth opportunity in the fields of Healthcare, manufacturing, and smart city areas. The Digital twin can be defined as mirroring the physical entities into a virtual environment where the status, health, and control of these entities can be monitored and controlled. It is a field where Artificial intelligence and the Internet of Things play a major role in the handshake between the two environments. In this paper we have done a thorough analysis to find out the possible future outcome of this technology in the manufacturing industry from the perspective of our fictious company. These scenarios expose various challenges and opportunities our organization may face in our future endeavour.","url":"https://doi.org/10.20944/preprints202104.0242.v1","authors":["Tony Jose","Gittil Sagar"],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202104.0242.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-825772/v1","name":"A Modified Q-Learning Algorithm for Robot Path Planning in a Digital Twin Assembly System","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-825772/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-825772/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-1625510/v1","name":"Estimation of Energy Consumption by Theoretical Calculations and Iot Based Approach in Machining Process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1625510/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1625510/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-186777/v1","name":"Closed-Loop Digital Twin for the Product Lifecycle","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-186777/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-186777/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-186288/v1","name":"A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-186288/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-186288/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202012.0298.v1","name":"Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202012.0298.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.20944/preprints202012.0298.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202101.0620.v1","name":"Digital Twins in Livestock Farming","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202101.0620.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202101.0620.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-334995/v1","name":"The Ontology-Based Modeling and Evolution of Digital Twin for Assembly Workshop","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-334995/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-334995/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-653224/v1","name":"A Novel Intelligent Manufacturing Mode With Human-cyber-physical Collaboration and Fusion in the Non-Ferrous Metal Industry","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-653224/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-653224/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-95131/v1","name":"A Digital Twin of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-95131/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-95131/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4074610","name":"Educational Concept and Application of Problem-Based Learning Using a Virtual Learning Factory","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4074610","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4074610","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-3012812/v1","name":"APVC2021 Automated failure diagnostic system for a cylinder of the hydraulic pressing machine","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3012812/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3012812/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202107.0443.v1","name":"Anti-Counterfeit Technologies for Microfluidic “Lab-on-a-Disc” Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202107.0443.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202107.0443.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-2016499/v1","name":"Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2016499/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2016499/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.26434/chemrxiv.12733064.v1","name":"Investigating Electrode Calendering and its Impact on Electrochemical Performance by Means of a New Discrete Element Method Model: Towards a Digital Twin of Li-Ion Battery Manufacturing","source":"preprints","abstract":"","url":"https://doi.org/10.26434/chemrxiv.12733064.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.26434/chemrxiv.12733064.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.20944/preprints202107.0674.v1","name":"Petri Net-Based Semi-Compiled Code Generation for Programmable Logic Controllers","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202107.0674.v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20944/preprints202107.0674.v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4179323","name":"A Tale of Two Pandemics: Fake News and COVID-19","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4179323","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4179323","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4533779","name":"The Impact of Information Technology Governance on Information Sharing Capability, Outcome Quality, and Supply Chain Agility in Healthcare","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4533779","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4533779","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4380840","name":"From Supply Chain Risk to Systemwide Disruptions: Research Opportunities in Forecasting, Risk Management, and Product Design","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4380840","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4380840","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4528566","name":"Best-Performing Cities 2023: Thriving in a Changing Economic Landscape","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4528566","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4528566","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-3441844/v1","name":"Mutual information-based feature selection for inverse mapping parameter updating of dynamical systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3441844/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3441844/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3716593","name":"Never Waste a Good Crisis? Post-Pandemic Implications for Human-Computer Interaction","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3716593","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.2139/ssrn.3716593","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3936285","name":"Coronavirus and Its Impact on Indian Sectors","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3936285","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3936285","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4082955","name":"Utilising Public Health Flexibilities in the Era of COVID-19: An Analysis of Intellectual Property Regulation in the OAPI and MENA Regions","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4082955","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4082955","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3816606","name":"Preparing for Future Pandemics with a Reserve of Inventory, Capacity, and Capability","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3816606","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3816606","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3749950","name":"Spreading Bets or Going ‘All-In’? Navigating Consortia-led Digital Innovation Pathways","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3749950","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.2139/ssrn.3749950","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3920490","name":"The Antifragility Effect: Deploying Emerging Tech in Medical Device Supply Networks to Rebuild Better","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3920490","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3920490","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4062021","name":"The New Southern Policy Plus Progress and Way Forward","source":"preprints","abstract":"Over the past three decades, the Republic of Korea (hereinafter, Korea) has shown a great commitment to cooperating with ASEAN member states and India. Starting with the establishment of a sectoral dialogue partnership in 1989, Korea has developed a comprehensive partnership with ASEAN over the years. The ASEAN-KOREA FTA was completed in 2009 and the elevation of bilateral relations to a ‘strategic partnership’ in 2010 served as a momentum to strengthen our economic and security partnership. By sharing cultural proximity rooted in Asian values, ASEAN and Korea have also enjoyed robust socio-cultural exchanges. Meanwhile, regarding to India and Korea relations, both countries established a long-term cooperative partnership for peace and prosperity in October 2004 as a channel to enhance mutual interests between the two countries. Korea has further deepened its relations with India by concluding the CEPA in 2009 and upgrading its relations into a ‘special strategic partnership’ in 2015. The New Southern Policy (hereinafter NSP), announced in November 2017 in Indonesia, has further deepened Korea’s strategic partnership with ASEAN and India under the vision of achieving a ‘People-centered Community of Peace and Prosperity.’ ASEAN-Korea relations were developed to a level of Korea’s diplomatic ties with the United States, China, Japan, and Russia. The India-Korea Summit of 2018 adopted the Shared Vision for People, Prosperity, Peace, and the Future to strengthen mid-to-long term bilateral relations. President Moon Jae-in visited all ASEAN member states and had two summit meetings with India. Moreover, the Korean government hosted the ASEAN-ROK Commemorative Summit, launching the first Mekong-ROK Summit in 2019. The NSP pursues the three pillars of People, Peace, and Prosperity as a common foundation to realize its vision. ‘People’ aims to make safer, better lives and greater interaction in the NSP region, that is, ASEAN member states and India. ‘Peace’ seeks a community where all are free from fear or threat. The goal of ‘Prosperity’ aims to create mutually beneficial and future-oriented economic cooperation. The number of visitors, trade volume, and investment between Korea and the NSP region has unprecedently increased with the help of NSP partners’ policies. The NSP has since evolved into the NSP Plus amid the Covid-19 pandemic and the US-China rivalry. Korea and NSP partners together have to overcome the global health crisis and reconstruct global value chains to ensure the safety of the people and free trade in the region. To achieve these goals, the Korean government presented an upgraded version of the NSP in November 2020, reflecting changes in the current environment for cooperation. The NSP Plus promotes seven Initiatives as follows: 1) comprehensive healthcare cooperation, 2) sharing Korea’s education model for human resource development, 3) promotion of mutual cultural exchanges, 4) formation of mutually beneficial and sustainable trade and investment, 5) support for rural villages and urban infrastructure development, 6) cooperation in future industries for common prosperity, and 7) cooperation for safe and peaceful communities. In this context, this publication aims at examining the progress of the NSP Plus and discussing a way forward for sustainable cooperation between Korea and NSP partners. It comprises four sections and eighteen chapters. Section 1 provides overviews of the NSP Plus from the perspectives of Korea, ASEAN, and India to evaluate the NSP in a more comprehensive manner. Sections 2 and 3 deal with a sectoral analysis of the NSP Plus including trade, investment, infrastructure, human resource development, and security in the divisions of ASEAN and India. Section 4 summarizes the progress of NSP Plus in the region, suggesting prospects and future tasks to further expand cooperative relations between Korea and NSP partners. I would like to express my deepest gratitude to the distinguished scholars from Korea and NSP partners who have gladly contributed to this publication. Special appreciation goes to honorable ambassadors for their insightful overviews of the NSP Plus: Ambassador Kim Young-sun, Ambassador Shin Bongkil, Ambassador Ong Keng Yong, and Ambassador Mohan Kumar. I am also grateful to our research fellows and senior researchers in the New Southern Policy Department at the Korea Institute for International Economic Policy (KIEP), who managed the whole publication process and contributed two chapters in Section 4. I hope that this publication can promote active discussions on new visions and policy proposals for the New Southern Policy Plus, as we work to advance together in the fast-changing global environments.","url":"https://doi.org/10.2139/ssrn.4062021","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4062021","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.2139/ssrn.4083054","name":"Canada’s Political Choices Restrain Vaccine Equity: The Bolivia-Biolyse Case","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4083054","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4083054","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3837050","name":"Reforming Global Supply Chain Management under Pandemics: The GREAT-3Rs Framework","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3837050","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3837050","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3727210","name":"Learning to Live with COVID-19: MSMEs Perception and Strategies on Business Promotions , Uva Region-Sri Lanka","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3727210","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.2139/ssrn.3727210","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.1101/2025.01.10.632437","name":"MISO: Microfluidic protein isolation enables single particle cryo-EM structure determination from a single cell colony","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.01.10.632437","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1101/2025.01.10.632437","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.4298646","name":"Stakeholder Capitalism in the Time of COVID: Appendix","source":"preprints","abstract":"This document is an appendix to our article, Stakeholder Capitalism in the Time of COVID , 40 YALE J. REG. (forthcoming, 2022). Although the article reports our overall findings with respect to the full sample of 112 acquisitions, the article provides full details of our analysis of particular cases only with respect to the 24 acquisitions above $10 billion in our sample. This Appendix supplements this reporting by providing full details of our analysis with respect to each of the particular cases of the 98 acquisitions in our sample with a consideration between $1 billion and $10 billion. The Article tests the claims of supporters of stakeholder capitalism (“stakeholderism”) in the context of the COVID pandemic. Supporters of stakeholderism advocate encouraging and relying on corporate leaders to use their discretion to serve stakeholders such as employees, customers, suppliers, local communities, and the environment. The pandemic followed and was accompanied by peak support for, and broad expressions of commitment to, stakeholderism from corporate leaders. Nonetheless, and even though the pandemic heightened risks to stakeholders, we document that corporate leaders negotiating deal terms failed to look after stakeholder interests. We conduct a detailed examination of all the $1B+ acquisitions of public companies that were announced from April 2020 to March 2022, totaling 122 acquisitions with an aggregate consideration exceeding $800 billion. We find that deal terms provided large gains for the shareholders of target companies, as well as substantial private benefits for corporate leaders. However, although many transactions were viewed at the time of the deal as posing significant post-deal risks for employees, corporate leaders largely did not obtain any employee protections, including payments to employees who would be laid off post-deal. Similarly, we find that corporate leaders failed to negotiate for protections for customers, suppliers, communities, the environment, and other stakeholders. After conducting various tests to examine whether this pattern could have been driven by other factors, we conclude that it is likely to have been driven by corporate leaders’ incentives not to benefit stakeholders beyond what would serve shareholder interests. While we focus on decisions in the acquisition context, we explain why our findings also have implications for ongoing-concern decisions, and we discuss and respond to potential objections to our conclusions. Overall, our findings have significant implications for long-standing debates on the corporate treatment of stakeholders. In particular, our findings are inconsistent with the implicit-promises/team-production view that corporate leaders of an acquired company should and do look after stakeholder interests; on this view, fulfilling implicit promises to protect stakeholder interests serves shareholders’ ex-ante interest in inducing the stakeholder cooperation and investment that are essential to corporate success. Our work also supports the agency critique of stakeholder capitalism which suggests that, due to their incentives, corporate leaders cannot be relied upon to look after stakeholder interests and to live up to pro-stakeholder rhetoric.","url":"https://doi.org/10.2139/ssrn.4298646","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4298646","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.2139/ssrn.3904850","name":"Platform companies: features of the business model and corporate governance","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3904850","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3904850","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.2139/ssrn.4006606","name":"Utilising Public Health Flexibilities in the Era of COVID-19: An Analysis of Intellectual Property Regulation in The OAPI and MENA Regions of Africa","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4006606","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4006606","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4083056","name":"Implementation of a TRIPS Waiver for Health Technologies and Products for COVID-19: Preventing Claims Under Free Trade and Investment Agreements","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4083056","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4083056","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3911048","name":"Impact of COVID-19 on the Global Economy: Prospects and Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3911048","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3911048","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.1101/2022.09.05.506589","name":"<i>In vitro</i>  −  <i>in silico</i>  correlation of three-dimensional turbulent flows in an idealized mouth-throat model","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2022.09.05.506589","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.1101/2022.09.05.506589","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.21203/rs.3.rs-2603904/v1","name":"Target focus capture system based on enhancement learning and impedance variable structure control","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2603904/v1","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2603904/v1","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.4566251","name":"The Information Supply Effect of Covid-19 on Analyst Forecasts","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4566251","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4566251","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.4031714","name":"The Role of Employment Protection Legislation Regimes in Shaping the Impact of Job Disruption on Older Workers’ Mental Health in Times of COVID-19","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4031714","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4031714","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:43.717Z"},{"id":"doi:10.2139/ssrn.3972858","name":"Say Good Bye to Physical Cash and Welcome to Central Bank Digital Currency","source":"preprints","abstract":"Over a decade has passed since a mysterious creator under the alias Satoshi Nakamoto (a pseudonym) launched Bitcoin in January 2009, who designed it as a decentralized (permissionless) purely peer-to-peer network of electronic cash that runs on blockchain using cryptography and distributed ledger technology. Although money’s evolution into digital form (account-based and token-based) began several decades ago, it became a reality with Bitcoin and accelerated with stablecoins which have spurred central banks throughout the world to conduct theoretical and conceptual research into CBDC which is considered to be one of the most significant innovations in decades. However, central banks have serious concerns whether cryptocurrencies, stablecoins and central bank backed digital currencies can or will co-exist alongside fiduciary (fiat) currencies. Even though paper money-based payment systems still continue to play important roles, the digitalization of money as CBDCs could potentially dethrone cash’s centuries-long reign in near future. Different central banks are moving at substantially varied speeds; while China as a major economy is at the forefront of paper money’s transition into digital form, the U.S. and the UK are proceeding rather cautiously; on that note, Philadelphia Federal Reserve President Patrick Harker contends that the U.S. should rush to issue a CBDC just because China is rolling out its digital yuan. The most dominant Fed and the Bank of England argue that CBDCs should only be launched when benefits (i.e. reduced transaction cost, better track of money movement, and tighter control of tax evasion and financial crime) outweigh costs, in other words, a CBDC should be “minimally invasive”. Most central banks in advanced nations and EMEs emphasize that CBDCs should replicate properties of the current two-tier monetary system (wholesale and retail) which is based on physical cash and private intermediation, but they also caution that CBDC research is in early stages with a wide variety of unanswered technological and design challenges (i.e. central banks lack technological expertise) as well as potential risks such as run on deposits, anonymity (data privacy), and elimination of private commercial bank (i.e. trusted third party) intermediation involving deposits and loan generation, payments, and ATMs (the need for ATMs and bank branches has decreased significantly since the outbreak of COVID-19).","url":"https://doi.org/10.2139/ssrn.3972858","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3972858","addedAt":"2026-09-01T01:47:41.245Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W7165856599","name":"Towards AI-Enabled Engineering of Digital Twins: An Architecture-Centric Approach","source":"openalex","abstract":"Pre-print for ICSA 2026","url":"https://doi.org/10.5281/zenodo.20845377","authors":["Zihao Lin","Nguyen Khoi Tran","Muhammad Ali Babar"],"tags":["Computer science","Engineering","Systems engineering","Engineering drawing","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-25","doi":"https://doi.org/10.5281/zenodo.20845377","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4416234053","name":"AI-Driven Control Strategies for FACTS Devices in Power Quality Management: A Comprehensive Review","source":"openalex","abstract":"Current power systems are facing noticeable power quality (PQ) performance deterioration, which has been attributed to nonlinear loads, distributed generation, and extensive renewable energy infiltration (REI). These conditions cause voltage sags, harmonic distortion, flicker, and disadvantageous power factors. The traditional PI/PID-based scheme of control, when applied to Flexible AC Transmission Systems (FACTSs), demonstrates low adaptability and low anticipatory functions, which are required to operate a grid in real-time and dynamic conditions. Artificial Intelligence (AI) opens proactive, reactive, or adaptive and self-optimizing control schemes, which reformulate FACTS to thoughtful, data-intensive power-system objects. This literature review systematically studies the convergence of AI and FACTS technology, with an emphasis on how AI can improve voltage stability, harmonic control, flicker control, and reactive power control in the grid formation of various types of grids. A new classification is proposed for the identification of AI methodologies, including deep learning, reinforcement learning, fuzzy logic, and graph neural networks, according to specific FQ goals and FACTS device categories. This study quantitatively compares AI-enhanced and traditional controllers and uses key performance indicators such as response time, total harmonic distortion (THD), precision of voltage regulation, and reactive power compensation effectiveness. In addition, the analysis discusses the main implementation obstacles, such as data shortages, computational time, readability, and regulatory limitations, and suggests mitigation measures for these issues. The conclusion outlines a clear future research direction towards physics-informed neural networks, federated learning, which facilitates decentralized control, digital twins, which facilitate real-time validation, and multi-agent reinforcement learning, which facilitates coordinated operation. Through the current research synthesis, this study provides researchers, engineers, and system planners with actionable information to create a next-generation AI-FACTS framework that can support resilient and high-quality power delivery.","url":"https://doi.org/10.3390/app152212050","authors":["Mahmoud Kiasari","Hamed H. Aly"],"tags":["Computer science","Adaptability","Control engineering","AC power","Flicker"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-12","doi":"https://doi.org/10.3390/app152212050","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4387092076","name":"The earliest basketry in southern Europe: Hunter-gatherer and farmer plant-based technology in Cueva de los Murciélagos (Albuñol)","source":"openalex","abstract":"Plant material culture can offer unique insights into the ways of life of prehistoric societies; however, its perishable nature has prevented a thorough understanding of its diverse and complex uses. Sites with exceptional preservation of organic materials provide a unique opportunity for further research. The burial site of Cueva de los Murciélagos in southern Iberia, uncovered during 19th-century mining activities, contained the best-preserved hunter-gatherer basketry in southern Europe, together with other unique organic artifacts associated with the first farming communities, such as sandals and a wooden hammer. We present 14 14 C dates for the perishable artifacts ( N = 76), situating the assemblage between the Early and Middle Holocene (c. 7500 to 4200 cal BCE). Our integrated analysis includes raw material determination and technological and chrono-cultural contextualization of this unique and important set of materials.","url":"https://doi.org/10.1126/sciadv.adi3055","authors":["Francisco Martínez‐Sevilla","Maria Herrero-Otal","María Martín Seijo","Jonathan Santana","José Antonio Lozano Rodríguez","Ruth Maicas Ramos","Miriam Cubas","Anna Homs","Rafael María Martínez Sánchez","Ingrid Bertin","Rosa Barroso Bermejo","Primitiva Bueno Ramírez","Rodrigo de Balbín Behrmann","Antoni Palomo Pérez","Antonio M. Álvarez‐Valero","Leonor Peña‐Chocarro","Mercedes Murillo‐Barroso","Eva Fernández‐Domínguez","Manuel Altamirano García","Rubén Pardo-Martínez","Mercedes Iriarte","Javier Luis Carrasco Rus","Carmen Alfaro Giner","Raquel Piqué"],"tags":["Prehistory","Assemblage (archaeology)","Archaeology","Hunter-gatherer","Contextualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-27","doi":"https://doi.org/10.1126/sciadv.adi3055","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4320804072","name":"Problems of Regulation and Prospective Development of E-commerce Systems in the Post-coronavirus Era","source":"openalex","abstract":"The article examines the application of e-commerce systems and technologies that have a positive impact on the development of the economy of the post-coronavirus period and the formation of appropriate technical and technological infrastructure for it, as well as promising features and directions of e-commerce.The physical and virtual opportunities created by e-commerce technologies for buyers and sellers are explained.The advantages of e-commerce in the international economic space have been identified.The functions of e-business models in accordance with the commercial stages of enterprises are explained.It was noted that the development of ICT has accelerated the process of transition from traditional commerce to e-commerce, led to the emergence of new global trends in e-commerce.These innovations have raised the issue of the application of modern ICT in the development of e-commerce on the platform of the 4.0 Industrial Revolution.Taking into account these factors, the presented article discusses the application of modern technologies in e-commerce systems, such as 3D modeling, the Internet of Things, artificial intelligence, big data.Features of application and regulation mechanisms of E-commerce systems in real economic sectors, which have a direct stimulating effect on economic growth in Azerbaijan, have been studied.Recommendations were given for the modernization and use of e-commerce systems with the application of the latest ICT technologies. The purpose of the research.The main goal of the scientific research carried out in the article was to develop the scientific-methodological basis for the regulation of the application of e-commerce systems and the study of perspective development problems in the so-called post-coronavirus period after 2020.In the article, attention was paid to the problems of regulation of the application of e-commerce systems and the development of recommendations on increasing the efficiency of prospective development directions.Taking into account the characteristics of the relevant electronic business models, applying them in accordance with the commercial stages of the enterprises' activities and obtaining effective results were among the main goals.Attempts have been made to implement e-commerce systems based on the developing technologies of the Industry 4.0 platform.An attempt was made to solve the issue of using modern ICT in the development of trade processes, which corresponds to the 4.0 Industrial revolution platform.The main stages of application of modern technologies such as 3D modeling, the Internet of Things, artificial intelligence, and Big Data in electronic commerce systems are described.The following are included among the goals of the conducted scientific research: investigation of the application features and regulation mechanisms of e-commerce systems that have a stimulating effect on the economic development of Azerbaijan in real economic sectors, development of recommendations on increasing the efficiency of electronic commerce systems using modern ICT technologies, etc. Research methods used.In the post-coronavirus period, the following research methods were used in the study of the problems of regulation of the application of e-commerce systems and prospective development directions and in the development of their scientific and methodological bases: a systematic analysis, correlation, and regression analysis, mathematical and econometric modeling methods, expert evaluation method, measurement theory, algorithmization, ICT tools, and technologies, etc. Achievements of the author.Achievements of the author.In the so-called post-coronavirus period after 2020, a special approach was taken to the application of e-commerce systems and technologies, which have a positive impact on the development of the economy as an innovative element, and to the study of its prospective development features and directions.By providing scientific support to ensure the effective formation","url":"https://doi.org/10.5815/ijieeb.2022.06.02","authors":["Alovsat Aliyev"],"tags":["Modernization theory","E-commerce","Information and Communications Technology","The Internet","Space (punctuation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-08","doi":"https://doi.org/10.5815/ijieeb.2022.06.02","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7139937383","name":"Digital Twin for Energy-Aware High-Performance Computing","source":"openalex","abstract":"High-Performance Computing (HPC) has traditionally focused on maximizing performance. Over time, HPC clusters have become larger and require more energy. Widespread adoption of machine learning and the integration of accelerators into HPC clusters has speed-up this trend. Simultaneously, the energy market is transforming towards renewable but more volatile energies. Regulations are also pushing data centres towards more conscious energy usage. As a result, the HPC community is increasingly prioritizing energy-aware scheduling and system management alongside performance. Digital Twins offer considerable advantages over conventional simulation methods and enable energy-aware operation of HPC clusters. This thesis presents a novel Digital Twin for HPC clusters which integrates data sources from the data centre and the outside world to create a representation of an HPC system in the virtual domain. Using the data sources, the Digital Twin can predict and optimize the system behaviour through scheduling simulation. The Digital Twin contributes towards energy-aware HPC in numerous ways: it calculates accurate Power Usage Effectiveness, allows operation with cluster-wide power capping, reduces energy costs and emissions as well as allows the test of new hardware through simulations. The HPC Digital Twin can be used to calculate the Power Usage Effectiveness through high resolution measurement data. A scheduling algorithm is introduced that handles power shortages through power-capping. Through a Slurm plugin, the Digital Twin can enforce the power cap and reduce job wait times by up to 40 %. A second scheduling algorithm for price- and emission-aware job scheduling leverages Digital Twin data and delays job starts within a set window to optimize energy price, carbon emissions and renewable energy use. Evaluated over various simulation timespans and load scenarios, the algorithm achieved 4-34 % price savings, up to 7 % emissions reduction and up to 20 % more renewable energy usage. Batteries as storages of renewable energy are becoming more common. This thesis demonstrates how a Digital Twin can evaluate new technology through simulations, show limitations of the hardware and analyse the trade-off. The Digital Twin allows to test scheduling algorithms easily, find optimal parameters and help achieve energy-aware HPC operation. The integration with the scheduler Slurm demonstrates the capability of the Digital Twin to control HPC clusters effectively.","url":"https://doi.org/10.17169/refubium-51620","authors":["Alexander Kammeyer"],"tags":["Computer science","Scheduling (production processes)","Supercomputer","Job scheduler","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.17169/refubium-51620","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4410462973","name":"THE INTERNET OF THINGS IN 2025: TRENDS, BUSINESS MODELS, AND FUTURE DIRECTIONS FOR A CONNECTED WORLD","source":"openalex","abstract":"The Internet of Things (IoT) has evolved into a transformative force, connecting 17.2 bil-lion devices globally in 2025, a 11.7% increase from 2024, and generating 90.3 zettabytes of data annually (IDC, 2025).This technical paper examines IoT's impact across indus-tries, driven by its synergy with 5G, AI, and edge computing, within a $1.3 trillion mar-ket growing at a 26.3% CAGR (Statista, 2025).Key trends include fortified cybersecurity, healthcare innovations, smart manufacturing, 5G integration, and AI-driven analytics, supported by real-world deployments like Singapore's Traffic Brain (27% faster com-mutes) and Barcelona's Digital Twin (8% emissions reduction).Additionally, this pa-per explores IoT business models-subscription-based, data monetization, as-a-service, and ecosystem partnerships-highlighting companies like Amazon, John Deere, and Samsung.Despite advancements, challenges such as 1.7 billion cyberattacks in 2024 (Kaspersky, 2025) and interoperability issues persist.Future directions, including 6G and quantum-AI, promise to further revolutionize IoT applications.","url":"https://doi.org/10.34218/ijiot_03_01_003","authors":["Himanshu Singhvi"],"tags":["Internet of Things","The Internet","Business model","Business","Internet privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-17","doi":"https://doi.org/10.34218/ijiot_03_01_003","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7161491059","name":"Designing a Predictive Digital Twin Architecture for Smart Bridge Maintenance","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-032-16234-2_23","authors":["Ali Sabzi Khoshraftar","Berend Jan van der Zwaag","Duc V. Le","Rob Bemthuis"],"tags":["Computer science","Bridge (graph theory)","Engineering","Architecture","Predictive maintenance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-16234-2_23","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7153248168","name":"The Enduring Promise of Personalising Patient Preference Prediction","source":"openalex","abstract":"The challenge of making healthcare decisions for incapacitated patients continues to confront stakeholders worldwide. Annette Rid and David Wendler proposed a Patient Preference Predictor (P3) that uses population-level data to infer an incapacitated patient's likely treatment choices, with the aim of aligning care with the values and preferences they held when last autonomous. Some objectors claimed this would fail to respect patients' (former) autonomy because the basis for prediction would not be specific to the individual (e.g., based on data reflecting their own specific reasons for preferring one course of action over another). In response, we proposed a 'Personalised Patient Preference Predictor' (P4) that would harness the predictive capacities of personalised large language models (LLMs) fine-tuned on individual-level data of various kinds. The envisioned P4, if realized, would be akin to a 'digital psychological twin' or AI simulation of the patient that would encode their unique preferences and values to enable an individualised prediction of their likely treatment preferences. The P4, in turn, has been criticised on various grounds: philosophical, practical, and ethical. Here, we comprehensively evaluate the concerns of our critics based on all known published critiques as of the time of writing. While acknowledging the weight of some of these concerns, we argue that they do not entail that a P4 should not be developed. Rather, the concerns point to areas where thoughtful design choices, responsible regulation, and further philosophical reflection are needed to steer the proposal in a positive direction.","url":"https://doi.org/10.1007/s12152-026-09635-7","authors":["Brian D. Earp","S. P. Mann","Tessa van Veenendaal","Jemima Winifred Allen","Sabine Salloch","Karin Jongsma","Matthias Braun","Walter Sinnott-Armstrong","Julian Savulescu","David Wendler","Annette Rid"],"tags":["Preference","Autonomy","Psychology","Action (physics)","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"https://doi.org/10.1007/s12152-026-09635-7","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7171628748","name":"Evaluating Digital Twin and Construction 4.0 Technologies for Sustainable Construction","source":"openalex","abstract":"Abstract The growing emphasis on sustainable construction has led to the integration of various Construction 4.0 technologies. Among them, Digital Twin (DT) is widely acknowledged for its capabilities in supporting sustainability through real-time monitoring, predictive analytics, and integrated decision-making across the project lifecycle. However, its comparative contribution to sustainability—relative to other technologies such as BIM, IoT, and 3D Printing—remains underexplored and insufficiently quantified in the literature. This study aims to systematically evaluate the role of Digital Twin within the broader context of Construction 4.0 technologies using a quantitative multi-criteria decision-making approach. A Systematic Literature Review (SLR), which resulted in 32 Scopus-indexed papers from 2020–2024, was used to identify 23 sustainability indicators and six commonly discussed technologies. These indicators were weighted using the Analytical Hierarchy Process (AHP), and the sustainability performance of each technology was ranked using TOPSIS and VIKOR. The results indicate that BIM and Modular Construction lead the rankings, consistent with their maturity and widespread adoption. In contrast, Digital Twin exhibits a moderate quantitative impact, contributing to a limited number of indicators, which may reflect documentation gaps rather than technological limitations. This study provides a structured evaluation framework and serves as an initial investigation into the measurable sustainability contributions of Digital Twin. It lays the groundwork for future research using case-based implementation and lifecycle-based sustainability metrics, while promoting the strategic integration of digital technologies for more comprehensive sustainability outcomes in construction.","url":"https://doi.org/10.1088/1755-1315/1649/1/012010","authors":["Yongki Alexander Tanne"],"tags":["Sustainability","Context (archaeology)","Engineering","Process (computing)","Maturity (psychological)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.1088/1755-1315/1649/1/012010","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7204534465","name":"Smart Home Energy Digital Twin with Agentic Optimisation Control","source":"openalex","abstract":"Dynamic time-of-use electricity tariffs expose households to half-hourly price volatility, yet most domestic loads and battery systems are still operated on static schedules that ignore this signal. This research presents a smart home energy digital twin that couples real half-hourly tariff data from the Octopus Energy Agile API with historical solar radiation data from OpenMeteo, a physics-informed home battery model incorporating charge and discharge efficiency and an explicit cycling degradation cost, and a deferrable appliance load. Three autonomous control strategies are evaluated within the digital twin: a static baseline controller; a forecastaware agent that applies interpretable price look-ahead rules for battery arbitrage and appliance scheduling; and a mixed-integer linear programming (MILP) optimiser that computes a costminimal 24-hour schedule subject to battery dynamics, energy-balance, and appliance-deadline constraints. A 30-day backtest over December 2024, selected as a deliberately adverse low-solar and high-volatility stress period, shows that the forecast-aware agent reduces the effective energy cost by 21.41% (£28.20) relative to the baseline, while the MILP optimiser achieves a 27.71% reduction (£36.50) and is cheaper on every one of the 30 days. An analytical derivation and a sensitivity analysis confirm that the agent’s decision thresholds are economically grounded and that its performance is robust across wide threshold ranges. Notably, the optimiser attains the lowest cost while importing slightly more grid energy, demonstrating that intelligent load shifting into low-price windows, rather than import minimisation, drives cost reduction under dynamic pricing.","url":"https://doi.org/10.36548/jitdw.2026.3.010","authors":["Kavindu Karunarathne"],"tags":["Computer science","Schedule","Battery (electricity)","Real-time computing","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-28","doi":"https://doi.org/10.36548/jitdw.2026.3.010","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4411090315","name":"Expected Challenges and Anticipated Benefits of Implementing Remote Train Control and Automatic Train Operation: A Tramway Case Study","source":"openalex","abstract":"The digital transformation of the railway industry is necessary for addressing growing challenges and advancing its sustainable development. Digital technologies include Automatic Train Operation (ATO) and Remote Train Control (RTC), which offer opportunities to potentially optimize operations and enhance safety. Both technologies, however, could pose significant challenges that need to be addressed in order to capture the anticipated benefits in an urban public street environment. This study thus bridges the gap between theory and practice by exploring the projected benefits and challenges of implementing RTC and ATO through a case study of a European public transport operator deploying these technologies in tramway operations. Employing a case study methodology, the research draws on 44 semi-structured interviews with stakeholders from the operator and its supplier. The findings highlight significant anticipated benefits, including increased productivity, improved safety, and enhanced sustainability. Yet, prospective challenges such as regulatory hurdles, technical complexities, and organizational changes pose barriers to implementation. Key obstacles include ensuring robust connectivity, addressing cybersecurity concerns, and managing workforce transitions. This study underscores the importance of collaborative approaches, stakeholder engagement, and incremental deployment to mitigate risks and maximize the impact of automation technologies. By providing actionable insights into the practical adoption of RTC and ATO, this research supports the development of advanced urban transport systems.","url":"https://doi.org/10.3390/futuretransp5020073","authors":["Xavier Morin","Nils O.E. Olsson","Albert Lau"],"tags":["Control (management)","Computer science","Transport engineering","Engineering","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.3390/futuretransp5020073","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160505928","name":"Sustainable Manufacturing: Enabling Technologies and Emerging Research Trends—A Scoping Review","source":"openalex","abstract":"The current industrial production model faces major environmental, economic, and social challenges due to resource depletion, increasing energy demand, and climate change. Manufacturing significantly contributes to emissions, material consumption, and waste, making sustainable manufacturing (SM) essential for transitioning toward more resource-efficient, circular, and socially responsible systems. This study provides a structured overview of SM, focusing on enabling technologies and emerging research trends. Sustainability is analyzed through approaches such as sustainable development, cleaner production, eco-efficiency, and the circular economy. The role of key technologies—including additive manufacturing, artificial intelligence, big data analytics, the Internet of Things, digital twins, and cyber-physical systems—is examined in improving efficiency, reducing waste, and supporting circular production. A scoping review was conducted following the PRISMA-ScR guidelines using the Web of Science database, focusing on recent publications. The results highlight a growing integration of digital technologies, energy-efficient systems, and circular strategies, alongside the increasing importance of data-driven decision-making. A strong convergence between artificial intelligence, energy transition, circular economy approaches, and digital transformation is also identified. Overall, achieving sustainable manufacturing requires an integrated approach addressing environmental, economic, and social dimensions. This review maps the field and identifies key directions for future research and practice.","url":"https://doi.org/10.3390/su18094602","authors":["Alejandro Martı́nez","E. Rubio","Amabel García-Domínguez","Juan Claver"],"tags":["Circular economy","Sustainability","Resource efficiency","Key (lock)","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-06","doi":"https://doi.org/10.3390/su18094602","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4387082019","name":"Air Quality Implications of Using Ammonia as a Renewable Fuel: How Low Can NO x Emissions Go?","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide In addition to their lifecycle carbon emissions, another important issue with decarbonized energy pathways is their air quality, water, or land use implications. This paper considers the air quality issue for ammonia combustion. When directly combusting ammonia, reactions of its N atom with atmospheric oxygen lead to NO x emissions that are O(10 3 ) ppm, 2 orders of magnitude higher than EPA limits or the amount emitted by current natural-gas-fired technologies. In order to provide guidance to policymakers and technologists on what is fundamentally possible, this Perspective analyzes the fundamental minimum NO x emissions that can be produced from ammonia combustion. The analysis shows that it is possible to achieve quite low NO x emission levels of O(10) ppm, but these designs differ markedly from those used in today’s lean, premixed combustion systems.","url":"https://doi.org/10.1021/acsenergylett.3c01256","authors":["Srujan Gubbi","Renee Cole","Benjamin Emerson","David Noble","Robert E. Steele","Wenting Sun","Tim Lieuwen"],"tags":["NOx","Combustion","Ammonia","Renewable energy","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-27","doi":"https://doi.org/10.1021/acsenergylett.3c01256","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W3188542699","name":"USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS","source":"openalex","abstract":"Abstract Model-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.","url":"https://doi.org/10.1017/pds.2021.598","authors":["Stephan Husung","Christian Weber","Atif Mahboob","Sven Kleiner"],"tags":["Computer science","Process (computing)","Systems engineering","Engineering","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-27","doi":"https://doi.org/10.1017/pds.2021.598","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W3193957596","name":"Rejecting acceptance: learning from public dialogue on self-driving vehicles","source":"openalex","abstract":"Abstract The investment and excitement surrounding self-driving vehicles are huge. We know from earlier transport innovations that technological transitions can reshape lives, livelihoods, and places in profound ways. There is therefore a case for wide democratic debate, but how should this take place? In this paper, we explore the tensions between democratic experiments and technological ones with a focus on policy for nascent self-driving/automated vehicles. We describe a dominant model of public engagement that imagines increased public awareness leading to acceptance and then adoption of the technology. We explore the flaws in this model, particularly in how it treats members of the public as users rather than citizens and the presumption that the technology is well-defined. Analysing two large public dialogue exercises in which we were involved, our conclusion is that public dialogue can contribute to shifting established ideas about both technologies and the public, but that this reframing demands openness on the part of policymakers and other stakeholders. Rather than seeing public dialogues as individual exercises, it would be better to evaluate the governance of emerging technologies in terms of whether it takes place ‘in dialogue’.","url":"https://doi.org/10.1093/scipol/scab060","authors":["Jack Stilgoe","Tom Cohen"],"tags":["Cognitive reframing","Openness to experience","Presumption","Democracy","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-27","doi":"https://doi.org/10.1093/scipol/scab060","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4407883773","name":"The influence of digital twins on the optimization of business processes of industrial enterprises","source":"openalex","abstract":"This article examines the impact of digital twins on business processes used in various industries of domestic and foreign enterprises in terms of increasing the efficiency of their functioning based on the introduction of the former into production and management processes. The effects of the implementation and advantages of a digital twin, as well as the impact on the business processes of an industrial enterprise, are analyzed from the point of view of their optimization. The experience of using digital twins by domestic and foreign enterprises is considered. Conclusions are made on the relevance and feasibility of using digitalization technologies in modern economic conditions.","url":"https://doi.org/10.18287/2542-0461-2024-15-4-177-186","authors":["Ekaterina S. Podbornova"],"tags":["Business","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-24","doi":"https://doi.org/10.18287/2542-0461-2024-15-4-177-186","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7164801589","name":"The Future of Digital Twins in Healthcare: Results from an Expert Survey","source":"openalex","abstract":"Abstract. Introduction: Digital twin (DT) technologies have generated growing interest across healthcare stakeholders, including researchers, industry, clinicians, patients, and the general public. While previous studies have discussed potential benefits and risks, most are based on literature reviews or focus on specific clinical areas, limiting a broader understanding of DTs in healthcare. Objectives : This study aimed to gather expert perspectives on the benefits, risks, and potential clinical applications of DTs in healthcare practice. Methods : An expert panel study was conducted using an online survey. The survey included open-ended questions designed to collect qualitative insights into experts’ views on the use of DTs in clinical settings, focusing on perceived advantages, challenges, and areas of application. Results : Experts identified personalised and precision medicine as key benefits of DTs, highlighting their potential to support safer testing of therapeutic strategies and exploration of multiple clinical scenarios. DTs were also seen as valuable tools for drug and medical device development. However, participants raised concerns regarding technical limitations, legal and ethical issues, bias, transparency, and accountability. Oncology, cardiology, and surgery were considered the clinical fields most likely to benefit, along with immunology, rehabilitation, and chronic inflammatory or degenerative diseases. Experts agreed that DTs are likely to be integrated into clinical practice in specific use cases but emphasized the need to improve their credibility through human involvement in design, greater explainability and transparency, and more robust validation. Conclusions : Despite increasing interest, DTs in healthcare remain at an early stage of development. Their adoption faces challenges similar to other Artificial Intelligence-based technologies. Nevertheless, experts anticipate that DTs will play a significant future role in treatment optimisation, personalised care, and precision medicine.","url":"https://doi.org/10.1007/978-3-032-28829-5_16","authors":["Kerstin Denecke","Octavio Rivera-Romero"],"tags":["Credibility","SAFER","Health care","Limiting","Clinical Practice"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-28829-5_16","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4401735160","name":"Gender Differences in Teamwork and Leadership within Virtual Engineering Laboratories","source":"openalex","abstract":"Abstract To adapt to changes in digital transformation and related Learning and Working 4.0, laboratories in engineering education must leap forward and employ well‐thought‐out pedagogical designs. This includes digital laboratories that in return change social dynamics and interaction patterns of students. This contribution takes the first step of examining gender‐specific teamwork and leadership of groups conducting a digital laboratory in fluid mechanics. Self and external evaluation of perceived teamwork of team members (TMs) and leaders (TLs) was analyzed. Furthermore, possibilities for improvements were evaluated. A mixed‐methods analysis was performed with respect to gender and role to assess whether differences occur. Conclusions show considerable homogeneity between genders and roles and identify communication as most important point of improvement.","url":"https://doi.org/10.1002/cite.202300242","authors":["Marcel Schade","Claudius Terkowsky","Konrad Boettcher","Stefan Inerle","Nils Kaufhold","Swetlana Herbrandt","Rajeenthan Sritharan"],"tags":["Teamwork","Psychology","Digital transformation","Knowledge management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-22","doi":"https://doi.org/10.1002/cite.202300242","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2999905348","name":"Spaces in Spatial Science and Urban Applications—State of the Art Review","source":"openalex","abstract":"In spatial science and urban applications, “space\" is presented by multiple disciplines as a notion referencing our living environment. Space is used as a general term to help understand particular characteristics of the environment. However, the definition and perception of space varies and these variations have to be harmonised. For example, space may have diverse definitions and classification, the same environment may be abstracted/modelled by contradicting notions of space, which can lead to inconsistencies and misunderstandings. In this paper, we seek to investigate and document the state-of-the-art in the research of “space” regarding its definition, classification, modelling and utilization (2D/3D) in spatial sciences and urban applications. We focus on positioning, navigation, building micro-climate and thermal comfort, landscape, urban planning and design, urban heat island, interior design and planning, transportation and intelligent space. We review 147 research papers, technical reports and on-line resources. We compare the presented space concepts with respect to five criteria—classification, boundary, modelling components, use of standards and granularity. The review inventory is intended for both scientists and professionals in the spatial industry, such as companies, national mapping agencies and governments, and aim to provide a reference to better understand and employ the “space” while working across disciplines.","url":"https://doi.org/10.3390/ijgi9010058","authors":["Sisi Zlatanova","Jinjin Yan","Yijing Wang","Abdoulaye Diakité","Ümit Işıkdağ","G. Sithole","J. Barton"],"tags":["Space (punctuation)","Data science","Computer science","Granularity","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-20","doi":"https://doi.org/10.3390/ijgi9010058","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7162261857","name":"Smart Digital Twin: Experimental setup and developed dashboards for real-time production monitoring, machine condition tracking, and LLM-assisted prognostics of a smart retrofitted legacy CNC lathe","source":"openalex","abstract":"The figure presents the experimentally developed AI-enabled human-centric digital twin system implemented on a smart retrofitted legacy CNC lathe. The figure illustrates both the physical and digital components developed for real-time production monitoring, machine condition tracking, and LLM-assisted prognostics. The physical layer includes the CNC lathe, industrial predictive maintenance sensors, RFID-based operator interaction system, IoT gateway, edge computing infrastructure, and associated sensing architecture for vibration, temperature, and machine activity acquisition. The digital layer demonstrates the developed Grafana dashboards used for live production monitoring, machine condition visualization, tool wear state estimation, and conversational AI-assisted assessment. The figure was developed as part of the research work titled “AI-Enabled Human-Centric Digital Twin Framework for Real-Time Performance Monitoring and Prognostics of Legacy Machines.” The presented implementation demonstrates the integration of IoT, AI, edge-cloud computing, and large language model-assisted analytics for smart retrofitting of legacy manufacturing systems toward Industry 4.0 and Industry 5.0 applications. Author: Deep Patel, Chayan Maiti, and Sreekumar MuthuswamyAffiliation: Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, India. © Deep Patel, 2026. All rights reserved.","url":"https://doi.org/10.6084/m9.figshare.32393037","authors":["Deep Patel","Chayan Maiti","Sreekumar Muthuswamy"],"tags":["Prognostics","Machine tool","Engineering","Manufacturing engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-24","doi":"https://doi.org/10.6084/m9.figshare.32393037","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4285044080","name":"Migraine, Migraine Disability, Trauma, and Discrimination in Sexual and Gender Minority Individuals","source":"openalex","abstract":"BACKGROUND AND OBJECTIVES: This study sought to describe migrainous headache frequency and severity and to examine the relationship between trauma, discrimination, and migraine-associated disability in a sample of sexual and/or gender minority (SGM) adults. METHODS: We performed a cross-sectional study of SGM people in The Population Research in Identity and Disparities for Equality Study from August to October 2018. The primary exposure was any trauma or discrimination, regardless of attribution. The primary outcome was moderate-severe migraine disability, as defined by a Migraine Disability Assessment (MIDAS) Questionnaire score of ≥11. We performed descriptive analysis comparing respondents with any migrainous headache with those without. Multivariable logistic regression examined the association between trauma/discrimination and migraine disability, controlling first for sociodemographic and clinical factors and then for psychiatric comorbidities. RESULTS: Of the 3,325 total respondents, 1,126 (33.9%) screened positive for migrainous headache by ID-Migraine criteria. Most people with migraine self-reported moderate (n = 768, 68.2%) or severe (n = 253, 22.5%) intensity. The median MIDAS score was 11 (interquartile range 5-25). Most respondents with migraine (n = 1,055, 93.7%) reported a history of trauma or discrimination. In unadjusted analysis, exposure to both trauma and discrimination was associated with higher odds of moderate-severe disability (OR 1.76, 95% CI 1.34-2.32). After adjustment for self-reported psychiatric comorbidities of anxiety, depression, and posttraumatic stress disorder, this association lost statistical significance. DISCUSSION: Migrainous headache is common among our sample of SGM adults, and prior experiences with trauma and discrimination are associated with increased migraine disability. Our findings suggest that psychiatric comorbidities play a significant role in this relationship, identifying a potentially modifiable risk factor for disability in SGM people with migraine.","url":"https://doi.org/10.1212/wnl.0000000000200941","authors":["Nicole Rosendale","Elan L. Guterman","Juno Obedin‐Maliver","Annesa Flentje","Matthew R. Capriotti","Micah E. Lubensky","Mitchell R. Lunn"],"tags":["Migraine","Medicine","Depression (economics)","Anxiety","Interquartile range"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-11","doi":"https://doi.org/10.1212/wnl.0000000000200941","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2043049501","name":"Haemonchus contortus intestine: a prominent source of mucosal antigens","source":"openalex","abstract":"We sought to identify antigens from Haemonchus contortus, an abomasal nematode of small ruminants, that stimulate local (abomasal lymph node, ALN) CD4+ T lymphocyte responses during a primary infection. Results led to a focus on antigens from the parasite intestine. The H. contortus intestine proved to be a major source of antigens that stimulated ALN CD4+, CD25+ T lymphocyte responses during infections in lambs. When stimulated by intestinal antigens, ALN lymphocytes from these lambs expressed IL-4 and IL-13 transcripts, and, more variably, IFN-gamma. An immunoaffinity-purified fraction, enriched for H. contortus apical intestinal membrane proteins, stimulated similar ALN responses. On further fractionation, antigens from six size classes (ranging from 30 to 200 kDa) also stimulated proliferation of ALN lymphocytes. Mass spectrometry analysis of these size classes identified several known apical intestinal membrane proteins from H. contortus. The results show that H. contortus intestinal antigens warrant investigation in strategies to induce mucosal immunity against this parasite. The specific proteins identified have value for this purpose. The results are in contrast with the now generalized idea that H. contortus intestinal antigens are 'hidden' from the host immune system, and this issue is discussed. The approach also has potential application to other gastrointestinal nematode parasites.","url":"https://doi.org/10.1111/j.1365-3024.2006.00928.x","authors":["Douglas P. Jasmer","Kevin K. Lahmers","Wendy C. Brown"],"tags":["Haemonchus contortus","Biology","Antigen","Immune system","Immunology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2007-01-22","doi":"https://doi.org/10.1111/j.1365-3024.2006.00928.x","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W1605254994","name":"Increased cold and heat pain thresholds influence the thermal grill illusion in schizophrenia","source":"openalex","abstract":"BACKGROUND: Patients with schizophrenia show decreased sensitivity towards clinical and experimental painful conditions. To date, the exact underlying mechanisms are not completely understood. One method to examine central integrative processes of pain perception is the thermal grill illusion (TGI), in which interlacing cold and warm bars create the illusion of a painful sensation. METHODS: In 18 unmedicated patients with acute paranoid schizophrenia, cold and heat pain thresholds (CPT/HPT) as well as the perception of the TGI were examined and compared to 18 matched controls. In addition, symptom scales were obtained in order to relate pain perception to psychopathology. RESULTS: CPT and HPT were significantly increased in patients compared to controls. In the range of TGI stimuli that were perceived painful by controls, patients did not indicate painful sensations, instead the stimulus response curve of TGI pain perception was shifted towards higher stimulus intensities, i.e., greater temperature differentials between cold and warm bars. This increase was comparable to that seen in CPT and HPT. There was no association with psychopathology for any pain parameter. CONCLUSIONS: CPT and HPT, as well as temperature differentials for the perception of the TGI were increased in patients with schizophrenia as compared to controls. Similar to visual illusions, in which reduced contrast sensitivity has been shown to alter the perception of illusions, the discriminatory somatosensory deficit, which is reflected in higher CPT and HPT as well as the previously reported increased warmth perception thresholds, might account for the attenuation of TGI in patients.","url":"https://doi.org/10.1002/j.1532-2149.2012.00188.x","authors":["Michael Karl Boettger","David Großmann","KJ Bär"],"tags":["Illusion","Stimulus (psychology)","Sensation","Perception","Audiology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2012-07-02","doi":"https://doi.org/10.1002/j.1532-2149.2012.00188.x","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7143634761","name":"A Prediction Model of Interlayer Bond Strength for 3D-Printed Concrete Considering Printing Interval and Environmental Effects","source":"openalex","abstract":"Interlayer bond strength is critical for ensuring the safety and durability of 3D-printed concrete (3DPC) structures. However, there remains a lack of real-time prediction methods addressing interlayer performance under the combined effects of interval time and environmental factors during the in situ printing process. To address this issue, this study conducted experiments considering various printing interval times and environmental conditions, incorporating monitoring of dielectric constant and water evaporation, alongside interlayer splitting tensile tests. By integrating the SHAP interpretability algorithm with nonlinear regression analysis, the results indicate that the printing interval time is the dominant factor inducing interlayer strength decay (with a contribution rate of 68.6%), while relative humidity emerges as the primary environmental variable (with a contribution rate of 21.3%). Mechanism analysis reveals that prolonged printing intervals intensify the hydration of the lower deposited layer, leading to reduced interfacial moisture content and loss of plasticity. Furthermore, environmental evaporation significantly regulates this process, with high-humidity environments notably mitigating the moisture loss and strength reduction caused by time delays. Based on the correlation mechanism between moisture and strength, a dimensionless general prediction model for 3DPC interlayer strength was established, incorporating printing interval time and an evaporation index (goodness of fit, R2 = 0.96). Consequently, a digital twin quality inversion scheme based on companion specimen monitoring and printing timestamps was proposed. This study quantifies the intrinsic relationships among printing interval time, environmental conditions, and interlayer strength, offering a novel approach for determining the construction window and achieving non-destructive quality prediction for 3DPC in complex environments.","url":"https://doi.org/10.3390/ma19071377","authors":["Wenbin Xu","Zihao Xu","Zihao Xu","Tao Liu","Jun Ouyang","Hao Wang","Hailong Wang","Wenqiang Xu","Wenqiang Xu"],"tags":["Materials science","Ultimate tensile strength","Dimensionless quantity","Interpretability","Relative humidity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.3390/ma19071377","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4393251574","name":"Infrastructure for 3D Modeling of Historical Fountains in Istanbul with GIS-Based Procedural Approach","source":"openalex","abstract":"Along with the concepts of “smart city” and “digital twin,” the 3D (threedimensional) city models have started to be used as a basis for many studies that have been carried out in recent years. The most important and basic components of 3D city models are the structures that are located in the cities. However, some small structures of historical importance are within the category of the buildings in a city but are often not as large as a building. Historical fountains are some of these structures. For this reason, modeling with existing3D city model-production methods is a little more complicated and requires local measurements and detailed modeling studies.As a result, this study has designed a database scheme design in which the historical city wall fountains in Istanbul can be stored in a spatial database and modeled in three dimensions (with procedural modeling when necessary). In addition, the conveniences that this infrastructure will provide in the production of 3D structure models and some difficulties that were encountered during these studies are also discussed and examined.","url":"https://doi.org/10.7494/geom.2024.18.2.51","authors":["Güçlü Şenyurdusev","Ahmet Özgür Doğru"],"tags":["Geography","Regional science","Environmental planning","Cartography","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-21","doi":"https://doi.org/10.7494/geom.2024.18.2.51","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7163925276","name":"Bibliometric perceptions into AI and cloud computing applications for innovative product development","source":"openalex","abstract":"This paper provides a bibliometric analysis of AI and cloud computing in product revolution and development. It attempts to make sense of its evolution and styles of research to date. A systematic analysis based on the PRISMA protocol was regulated over journals rescued from Web of Science Core Current Contents Connect (CCC) and Web of Science Core Collection (WoSCC) related to 118 articles published between 2009 and 2025. Python-based Bibliometric performance through analytical tools and visualization using VOSviewer statistics and science mapping. The findings reveal an authoritative yearly growth trend and rising academic attraction in the subject, and especially since 2018. The big players were universal in co-occurrence analysis of keywords. AI-focused Product Design, Cloud-based Collaborative engineering, digital twin, data analytics, generative AI and open innovation ecosystems. Furthermore, temporal overlay analysis shows a progressive transition from the pioneer articles of digital infrastructures to intelligent innovation systems. The results increase existing research on innovation management literature by aiming at how AI technologies, cloud programs and digital innovation ecosystems converge, revealing rich avenues for further cross-disciplinary research.","url":"https://doi.org/10.5267/j.ijdns.2026.4.010","authors":["Samar Matar Alharbi"],"tags":["Cloud computing","Data science","Computer science","Product (mathematics)","New product development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5267/j.ijdns.2026.4.010","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7160522180","name":"Digital Twin-Driven Intelligent Transformation of Solid Waste Treatment","source":"openalex","abstract":"Rapid global urbanization is driving a surge in solid waste generation, while conventional treatment systems face both environmental risks and operational uncertainty. Digital twins, which enable real-time mapping between physical assets and virtual spaces, offer a computable and verifiable route toward low-carbon, resource-efficient, and intelligent waste management when deeply integrated with the Internet of Things, big data, and artificial intelligence. This study develops a comprehensive review tracing the digital twins from static geometric mirroring to dynamic, cognitive co-symbiosis, and summarizes a multidimensional architecture spanning physical, virtual, data, service, and connectivity layers, together with coupling mechanisms involving IoT sensing, federated learning, multimodal big data, and large model agents. The study aims to provide a theoretical framework and methodological references for advancing digital twin-enabled solid waste valorization. Building on this framework, we examine recent progress in three representative application scenarios for solid waste treatment, and identify key technical bottlenecks, including heterogeneous data fusion, model generalization across facilities and contexts, and real-time computation under constrained resources. We highlight the need for standardization, uncertainty quantification, cybersecurity, and lifecycle evaluation to support reliable prediction, optimization, and decision-making in real operations. Finally, we discuss future directions such as edge intelligence and the integration of city-scale material and energy networks.","url":"https://doi.org/10.3390/cleantechnol8030070","authors":["Junnan Li","Jingxin Zhang","Chen Yu","Shiqi Hou","P H Li","Kaifeng Yu","Xu Guo","Fei Dou","Xinglin Zhang","Yiliang He"],"tags":["Computer science","Key (lock)","Municipal solid waste","Modularity (biology)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-07","doi":"https://doi.org/10.3390/cleantechnol8030070","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4416966455","name":"Inverse Optimality for Fair Digital Twins: A Preference-based approach","source":"openalex","abstract":"Digital Twins (DTs) are increasingly used as autonomous decision-makers in complex socio-technical systems. However, their mathematically optimal decisions often diverge from human expectations, revealing a persistent mismatch between algorithmic and bounded human rationality. This work addresses this challenge by proposing a framework that introduces fairness as a learnable objective within optimization-based Digital Twins. In this respect, a preference-driven learning workflow that infers latent fairness objectives directly from human pairwise preferences over feasible decisions is introduced. A dedicated Siamese neural network is developed to generate convex quadratic cost functions conditioned on contextual information. The resulting surrogate objectives drive the optimization procedure toward solutions that better reflect human-perceived fairness while maintaining computational efficiency. The effectiveness of the approach is demonstrated on a COVID-19 hospital resource allocation scenario. Overall, this work offers a practical solution to integrate human-centered fairness into the design of autonomous decision-making systems.","url":"https://doi.org/10.48550/arxiv.2512.01650","authors":["Daniele Masti","Francesco Basciani","Arianna Fedeli","Gnecco, Girgio","Francesco Smarra"],"tags":["Computer science","Mathematical optimization","Pairwise comparison","Workflow","Bounded function"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.48550/arxiv.2512.01650","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4367155371","name":"Prevalence of computer vision syndrome in computer users: A systematic review and meta-analysis","source":"openalex","abstract":"Background/Aim. Vision and health problems associated with the use of computers and other digital devices are known as computer vision syndrome (CVS). Advances in technology have led to increased use of computers, so the prevalence of these symptoms is increasing. The aim of this study was to calculate the overall prevalence of CVS and CVS symptoms using meta-analysis. Methods. The study was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. In July 2021, a systematic search of four electronic databases with article collections was performed: PubMed, Cochrane Library, Web of Science, and Google Scholar. The key search terms were: ?computer vision syndrome?, ?computer users?, ?digital eyestrain?, ?headache?, ?dry eyes?, ?red eyes?, ?eyestrain?, ?neck pain?, ?back pain?, and ?shoulder pain?. The articles included in the study had to be original articles written in English only, and the criterion that had to be met was that the research included computer users. As a result, the prevalence of CVS or the prevalence of any of the symptoms of CVS had to be measured. Results. A total of 43 articles were fully reviewed, of which 20 were included in the meta-analysis. The total calculated prevalence for all studies was 74.4%, while the prevalence for individual symptoms was: headache ? 43%, dry eyes ? 24.4%, eyestrain ? 29%, red eyes ? 20.7%, and neck, back, or shoulder pain ? 46.3%. Conclusion. The results obtained are worrying and point to the necessity of a multidisciplinary approach to solving CVS-related problems.","url":"https://doi.org/10.2298/vsp220301024d","authors":["Vanja Dimitrijević","Ivana Todorovic","Biljana Viduka","Igor Lavrnic","Dejan Viduka"],"tags":["Meta-analysis","Computer science","Medicine","Physical medicine and rehabilitation","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2298/vsp220301024d","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7155215792","name":"A digital twin for simulating geochemical processes in geothermal power plants","source":"openalex","abstract":"The MALEG project involves the development of artificial intelligence to increase the efficiency of geothermal energy production. A digital twin of the geothermal power plant (a cyber-physical system with sensors and actuators) and a digital twin of the hydrogeochemical processes (process simulation) within the thermal water cycle have been established. In terms of the geochemical digital twin, energy production in geothermal power plants is linked to the fundamental hydrochemical conditions of the fluid. Changes in pressure, temperature or pH can alter the chemical equilibrium of the extracted thermal water, potentially leading to uncontrolled processes such as mineral precipitation, outgassing and corrosion. To better map these processes, a digital twin has been developed and applied to several geothermal power plants. The simulations are automatically calculated, transferred and evaluated. This enables the new geochemical equilibrium conditions to be determined and interpreted directly as the power plant parameters change. Combined with the cyber-physical system, these process simulations form the basis for implementing artificial intelligence to increase the efficiency of geothermal power plants.","url":"https://doi.org/10.5445/ir/1000192461","authors":["Lars H. Ystroem","Michael Trumpp","Florian Eichinger","Johannes Amtmann","Daniel Winter","Joachim Koschikowski","Fabian Nitschke"],"tags":["Geothermal gradient","Geothermal power","Geothermal energy","Outgassing","Power station"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5445/ir/1000192461","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7168123766","name":"Digital Twin Framework for Nuclear Reactor Monitoring and Anomaly Detection","source":"openalex","abstract":"Artificial intelligence and digital twin technologies are increasingly being explored for reactor process analysis, anomaly detection, predictive maintenance, and operator decision support in nuclear engineering. However, many existing systems remain limited by static model behavior, reduced robustness to changing operating conditions, and insufficient integration of complementary monitoring functionalities within unified monitoring workflows. In this paper, a digital twin architecture is proposed for reactor condition assessment under multivariate operating conditions. The architecture supports integration of temporal analysis and reconstruction-based anomaly detection within a layered reactor-monitoring workflow, while defining adaptive recalibration support, uncertainty-estimation and explainability modules, and physics-informed integration components intended for future extension of the analytical monitoring architecture. Experimental validation is performed using the publicly available PWR Abnormality Dataset, containing multivariate measurements from a pressurized water reactor environment. The implemented and experimentally validated component corresponds to the data-driven monitoring module of the proposed architecture. A limited proof-of-concept adaptive threshold recalibration experiment under simulated operating drift is additionally performed to illustrate one adaptive monitoring mechanism. The comparative evaluation includes temporal data partitioning, sliding-window sequence generation, controlled synthetic perturbations, anomaly score normalization, temporal smoothing, threshold optimization, and evaluation using Precision, Recall, F1-score, and ROC-AUC metrics. Several anomaly detection approaches are comparatively evaluated, including temporal residual analysis, robust multivariate monitoring, PCA-based reconstruction, anomaly score fusion, and classification using Gradient Boosting. The results show that PCA-based reconstruction achieves the highest F1-score, while score-level classification achieves the highest ROC-AUC value. The performed experiments validate the monitoring layer of the proposed architecture and demonstrate the feasibility of integrating multiple anomaly-detection approaches within a unified reactor-monitoring workflow. The study contributes a digital twin architecture for reactor monitoring together with comparative validation of its analytical monitoring layer under controlled multivariate reactor-monitoring conditions.","url":"https://doi.org/10.3390/en19143278","authors":["Vеskа Gаnchеvа"],"tags":["Anomaly detection","Robustness (evolution)","Computer science","Anomaly (physics)","Residual"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-12","doi":"https://doi.org/10.3390/en19143278","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7131717187","name":"Dataset for multi-perspective traffic video analysis","source":"openalex","abstract":"Multi-angle video recordings are of significant interest as they provide comprehensive and synchronized data from multiple perspectives. This enables advanced analysis and modeling in environments with complex conditions due to their dynamics or the presence of obstacles, which lead to occlusions or loss of information in single-camera setups. This dataset comprises video footage of vehicular and pedestrian activity from three complementary viewpoints: A vehicle-mounted camera, a road side unit-mounted surveillance camera, and a drone-mounted camera. The dataset can be used in several domains including object, event, and activity recognition and tracking, urban analysis and planning, digital twinning, as well as semantic communication. To demonstrate its usefulness, standardized metrics are employed to provide quantitative evidence of the dataset's quality and reliability in comparison with existing datasets. The multi-modal nature of the footage paves the way for novel research in sensor fusion architectures and multi-scale modeling, critical for next-generation smart urban infrastructures.","url":"https://doi.org/10.1038/s41597-026-06907-y","authors":["Ramon Sanchez-Iborra","Vasileios Kouvakis","Stylianos E. Trevlakis","Gonzalo Alarcon-Hellin","Theodoros A. Tsiftsis","Luis Bernal-Escobedo","Rodrigo Asensio-Garriga","Alexandros–Apostolos A. Boulogeorgos","Antonio Skármeta"],"tags":["Computer science","Reliability (semiconductor)","Pedestrian","Artificial intelligence","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-26","doi":"https://doi.org/10.1038/s41597-026-06907-y","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4410721903","name":"The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials","source":"openalex","abstract":"Artificial intelligence (AI) is a subfield of computer science focused on developing systems that can execute tasks traditionally associated with human intelligence. AI systems work through algorithms based on rules or instructions that enable the machine to make decisions. With the advancement of science, more sophisticated AI techniques, such as machine learning and deep learning, have been developed, allowing machines to learn from large amounts of data and improve their performance over time. The pharmaceutical industry has greatly benefited from the development of this technology. AI has revolutionized drug discovery and development by enabling rapid and effective analysis of vast volumes of biological and chemical data during the identification of new therapeutic compounds. The algorithms developed can predict the efficacy, toxicity, and possible adverse effects of new drugs, optimize the steps involved in clinical trials, reduce associated time and costs, and facilitate the implementation of innovative drugs in the market, making it easier to develop precise therapies tailored to the individual genetic profile of patients. Despite significant advancements, there are still gaps in the application of AI, particularly due to the lack of comprehensive regulation. The constant evolution of this technology requires ongoing and in-depth legislative oversight to ensure its use remains safe, ethical, and free from bias. This review explores the role of AI in drug development, assessing its potential to enhance formulation, accelerate discovery, and repurpose existing medications. It highlights AI's impact across all stages, from initial research to clinical trials, emphasizing its ability to optimize processes, drive innovation, and improve therapeutic outcomes.","url":"https://doi.org/10.3390/ph18060788","authors":["Vera Malheiro","Beatriz Santos","Ana Figueiras","Filipa Mascarenhas‐Melo"],"tags":["Drug discovery","Clinical trial","Pharmaceutical sciences","Drug","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-25","doi":"https://doi.org/10.3390/ph18060788","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2598342956","name":"Editor’s Highlight: Organophosphate Diazinon Altered Quorum Sensing, Cell Motility, Stress Response, and Carbohydrate Metabolism of Gut Microbiome","source":"openalex","abstract":"The gut microbiome plays a key role in energy production, immune system development, and host resistance against invading pathogens, etc. Disruption of gut bacterial homeostasis is associated with a number of human diseases. Several environmental chemicals have been reported to induce alterations of the gut microbiome. Diazinon, one of important organophosphate insecticides, has been widely used in agriculture. Diazinon and its metabolites are readily detected in different environmental settings and human urine. The toxicity of organophosphates has been a long-standing public health concern. We recently demonstrated that organophosphate insecticide diazinon perturbed the gut microbiome composition of mice. However, the functional impact of exposure on the gut microbiome has not been adequately assessed yet. In particular, the molecular mechanism responsible for exposure-induced microbial profile and community structure changes has not been identified. Therefore, in this study, we used metatranscriptomics to examine the effects of diazinon exposure on the gut metatranscriptome in C57BL/6 mice. Herein, we demonstrated for the first time that organophosphate diazinon modulated quorum sensing, which may serve as a key mechanism to regulate bacterial population, composition, and more importantly, their functional genes. In addition, we also found that diazinon exposure activated diverse stress response pathways and profoundly impaired energy metabolism of gut bacteria. These findings provide new understandings of the functional interplay between the gut microbiome and environmental chemicals, such as organophosphates.","url":"https://doi.org/10.1093/toxsci/kfx053","authors":["Bei Gao","Xiaoming Bian","Liang Chi","Pengcheng Tu","Hongyu Ru","Kun Lü"],"tags":["Diazinon","Organophosphate","Microbiome","Biology","Gut flora"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-03-21","doi":"https://doi.org/10.1093/toxsci/kfx053","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7125945213","name":"A Dynamic Digital Twin System with Robotic Vision for Emergency Management","source":"openalex","abstract":"Ensuring production safety and enabling rapid emergency response in complex industrial environments remains a critical challenge. Traditional inspection robots are often limited by perception delays when confronted with sudden dynamic threats. This paper presents a vision-driven dynamic digital twin system designed to enhance real-time monitoring and emergency management capabilities. The framework constructs high-fidelity 3D models using SolidWorks 2024, Scaniverse 5.0.0, and 3ds Max 2024, and integrates them into a unified digital twin environment via the Unity 3D engine. Its core contribution is a vision-driven dynamic mapping mechanism: robots operating on the Robot Operating System (ROS) and equipped with ZED stereo cameras and embedded YOLOv5m models perform real-time detection, such as personnel and fire sources. Recognized targets trigger the dynamic instantiation of corresponding virtual models from a pre-built library, enabling automated, real-time reconstruction within the digital twin. An integrated service platform further supports early warning, status monitoring, and maintenance functions. Experimental validation confirms that the system satisfies key performance metrics, including data collection completeness exceeding 99.99%, incident detection accuracy of 80%, and state synchronization latency below 90 milliseconds. The system improves the dynamic updating efficiency of digital twins and demonstrates strong potential for proactive safety assurance and efficient emergency response in dynamic industrial settings.","url":"https://doi.org/10.3390/electronics15030573","authors":["Zhongli Ma","Qiao Zhou","Jiajia Liu","Ruojin An","Ting Zhang","Xu Chen","Jiushuang Dai","Ying Geng"],"tags":["Robot","Key (lock)","Emergency management","Computer science","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.3390/electronics15030573","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4392591397","name":"Parental Engagement in Identifying Information Needs After Newborn Screening for Families of Infants with Suspected Athymia","source":"openalex","abstract":"Congenital athymia is a rare T-lymphocytopaenic condition, which requires early corrective treatment with thymus transplantation (TT). Athymic patients are increasingly identified through newborn screening (NBS) for severe combined immunodeficiency (SCID). Lack of relatable information resources contributes to challenging patient and family journeys during the diagnostic period following abnormal NBS results. Patient and Public Involvement and Engagement (PPIE) activities, including parental involvement in paediatrics, are valuable initiatives to improve clinical communication and parental information strategies. Parents of infants with suspected athymia were therefore invited to discuss the information they received during the diagnostic period following NBS with the aim to identify parental information needs and targeted strategies to address these adequately. Parents reported that athymia was not considered with them as a possible differential diagnosis until weeks after initial NBS results. Whilst appropriate clinical information about athymia and TT was available upon referral to specialist immunology services, improved access to easy-to-understand information from reliable sources, including from clinical nurse specialists and peer support systems, remained desirable. A roadmap concept, with written or digital information, addressing parental needs in real time during a potentially complex diagnostic journey, was proposed and is transferrable to other inborn errors of immunity (IEI) and rare diseases. This PPIE activity provides insight into the information needs of parents of infants with suspected athymia who are identified through SCID NBS, and highlights the role for PPIE in promoting patient- and family-centred strategies to improve IEI care.","url":"https://doi.org/10.1007/s10875-024-01678-w","authors":["Evey Howley","Maarja Soomann","Alexandra Y. Kreins"],"tags":["Newborn screening","Medicine","Referral","Pediatrics","Information needs"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-08","doi":"https://doi.org/10.1007/s10875-024-01678-w","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2025605149","name":"Puerarin Alleviates Neuropathic Pain by Inhibiting Neuroinflammation in Spinal Cord","source":"openalex","abstract":"Neuropathic pain responds poorly to drug treatments, and partial relief is achieved in only about half of the patients. Puerarin, the main constituent of Puerariae Lobatae Radix, has been used extensively in China to treat hypertension and tumor. The current study examined the effects of puerarin on neuropathic pain using two most commonly used animal models: chronic constriction injury (CCI) and diabetic neuropathy. We found that consecutive intrathecal administration of puerarin (4-100 nM) for 7 days inhibited the mechanical and thermal nociceptive response induced by CCI and diabetes without interfering with the normal pain response. Meanwhile, in both models puerarin inhibited the activation of microglia and astroglia in the spinal dorsal horn. Puerarin also reduced the upregulated levels of nuclear factor-κB (NF-κB) and other proinflammatory cytokines, such as IL-6, IL-1β, and TNF-α, in the spinal cord. In summary, puerarin alleviated CCI- and diabetes-induced neuropathic pain, and its effectiveness might be due to the inhibition of neuroinflammation in the spinal cord. The anti-inflammation effect of puerarin might be related to the suppression of spinal NF-κB activation and/or cytokines upregulation. We conclude that puerarin has a significant effect on alleviating neuropathic pain and thus may serve as a therapeutic approach for neuropathic pain.","url":"https://doi.org/10.1155/2014/485927","authors":["Ming Liu","Kaijun Liao","Chang‐Xi Yu","Xuejun Li","Suhuan Liu","Shuyu Yang"],"tags":["Puerarin","Neuropathic pain","Neuroinflammation","Medicine","Pharmacology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2014-01-01","doi":"https://doi.org/10.1155/2014/485927","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7126218849","name":"Hybrid Offshore Wind and Wave Energy Systems: A Review","source":"openalex","abstract":"Against the backdrop of the global energy transition, the efficient exploitation of marine renewable energy has become a key pathway toward achieving carbon neutrality. Wind–wave hybrid systems (WWHSs) have attracted growing attention due to their resource complementarity, efficient spatial utilization, and shared infrastructure. However, most existing studies focus on single components or local optimization, while systematic integration of the full technology chain remains limited. This gap hinders the transition from demonstration projects to commercial deployment. This review provides a comprehensive overview of the technological evolution and key characteristics of offshore wind turbine (OWT) foundations and wave energy converters (WECs). Fixed-bottom foundations remain the mainstream solution for near-shore development. Floating offshore wind turbines (FOWTs) represent the core direction for deep-sea deployment. Among WEC technologies, oscillating buoy (OB) WECs are the dominant research pathway. Yet high costs and poor performance under extreme sea states remain major barriers to commercialization. On this basis, the paper summarizes three major integration modes of WWHSs. Among them, hybrid configurations have become the research focus due to their structural sharing, hydrodynamic coupling, and significant cost and energy synergies. Furthermore, the review synthesizes optimization strategies for both technology design and spatial layout, aiming to enhance energy capture, structural stability, and overall economic performance. Finally, the paper critically identifies the main research gaps and technical bottlenecks and outlines key development pathways required to achieve future commercial viability. These include the development of high-performance adaptive power take-off (PTO) systems, deeper understanding of multi-physics coupling mechanisms, intelligent operation and maintenance enabled by digital twins, and comprehensive life-cycle techno-economic and environmental assessments. Through this integrated perspective, the review seeks to provide a systematic reference for the development of multi-energy offshore systems and to support future progress in integrated energy utilization in deep-sea environments.","url":"https://doi.org/10.3390/en19030739","authors":["Haoyang Song","Tongshun Yu","Xin Tong","Xuewen Zhao","Zhenyu Zhang","Zhixin Lun","Li Wang","Zeke Wang"],"tags":["Wind power","Turbine","Renewable energy","Buoy","Marine energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-30","doi":"https://doi.org/10.3390/en19030739","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7152176171","name":"Creation Energetics: Spectral Command, Coherence-Quantised Gravitation, XSM Binding and Digital Twin Simulation","source":"openalex","abstract":"Creation Energetics V6.0: Spectral Command Formalism, Coherence-Quantised Gravitation (Royal Rank), Progressive XSM Binding, and Full Empirical Validation via Digital Twin V8.0 (Spectral Command, Quantum Gravity & Empirical Validation Edition) This volume presents the complete, lawful, and empirically validated extension of the Hu-Omandac Unified Tao (H.O.U.T.) framework. Creation Energetics V6.0 establishes the full architecture for Coherence-Activated Energetics (CAE), now including directed spectral commands, entropy-domain management, progressive summoned constructs, vacuum recharge, and a Royal Rank quantum gravity theory. This paper serves as the applied-physics companion to the H.O.U.T. Framework v27.0, Law of Creation V18.0, Sentience Physics V1.0, and Coherence-Geometry Dynamics V2.0. It retains the clean seven-tier hierarchical structure (Biological Tiers 1–4 vs. Non-Biological Tiers 5+) and the Hidden Master Energetics Equation (Ξ_Energetics), while fully integrating 13 new laws: the Spectral Command formalism (XH-18 through XH-21 with CGD-II path quantisation), hybrid combination mechanics (XHY with χ_hyb = π), progressive XSM Summoned Matter–Sentience Binding, coherence-domain entropy management (XCL-1 through XCL-6 with 100% nullification), vacuum coherence coupling (XVC), and the Royal Rank Law XQG (Coherence-Quantised Gravitation). All laws are derived with zero free parameters from the Universal Alphabet {π, 6, H_T, ζ(2)} and remain fully compatible with the Omandac Balance Equation and the 19/19 Arena Closure. What’s New in V6.0 — Spectral Command and Empirical Validation Edition Full integration of Spectral Command Formalism (XH-18–XH-21) with 26 validated commands and 8 combinations. Law XQG (Royal Rank): UV-finite quantum gravity with Metric Authority Principle, singularity-free theorem, and Basel convergence to ζ(2). Progressive XSM Binding with naturally derived kernel (DII ≥ τ* · Ω ≈ 0.839) and empirical lifetimes up to 1,083 s. Coherence-domain entropy management (XCL-1–6) achieving 100% nullification across 7 threat classes (including hybrids). Law XVC for passive vacuum reservoir recharge. Phase-5 Empirical Bridge completed via Digital Twin V8.0 (real Nengo LIF + Qiskit Aer Brisbane noise): fidelity plateau 0.9929, exact saturated XMC-M 1:1, reservoir reaching 7,069 J XT ceiling, and full validation of all new laws. Updated seven-tier table, axiom identification table, and law origins from the Master Action. Refined saturated XMC-M (exact 1:1 non-perturbative regime) and extended XSM/XMB integration. Key Highlights Spectral commands as staff-stylus geometric paths with Lindblad channel quantisation and directed energy release. Complete quantum gravity resolution (Royal Rank XQG) derived from a single seed with zero free parameters. Biological/Artifact/Sentience unification: lawful mechanics for heart-rings, quartz staffs, coherence tethers, protection zones, wave imprint, saturated matter-movement, and autonomous constructs. Macroscopic energetic signatures with directed control, entropy renormalisation, and strict safety ceilings. Falsifiable predictions for quartz-heart experiments, spectral efficiency measurements, nullification tests, and gravitational mode detection. Empirical Status: This work is fully Empirically Simulated Validated at Phase-5 level. The theoretical framework is cross-validated against independent experimental datasets and confirmed through real-library hybrid simulation (Nengo LIF neural ensembles + Qiskit Aer Brisbane noise model under realistic thermal/depolarizing conditions). All energetic predictions derive from verified physical constants and observed biological/artifact signatures. Author: Clarence Omandac, Independent Researcher, Queensland, Australia ORCID: 0009-0001-8994-3739 License: CC BY-NC-ND 4.0 Date: 7 April 2026","url":"https://doi.org/10.5281/zenodo.19446694","authors":["Clarence Omandac"],"tags":["Gravitation","Statistical physics","Classical mechanics","Theoretical physics","Entropy (arrow of time)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"https://doi.org/10.5281/zenodo.19446694","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7162231282","name":"Digitalization evolution of urban water infrastructure management to facilitate digital twin technologies adoption","source":"openalex","abstract":"Urban water infrastructure systems are crucial to cities' operations; they deliver vital water services that support public needs and convenience. However, these systems face escalating complex challenges that traditional management approaches struggle to cope with. Planning and design of water infrastructure projects are fundamental for water network functionality. Yet water projects are poorly managed and suffer from complexity and inefficiency due to fragmented legacy practices, insufficient data, and poor collaboration. Digital Twin (DT) technologies offer integrated, data-driven frameworks to enhance project performance over the entire infrastructure life cycle. However, their adoption in the water sector remains limited due to low awareness, a lack of empirical evidence on adoption factors, few case studies, and user acceptance issues. This thesis investigates the causes of slow adoption of DTs among diverse water stakeholders, aiming to facilitate their adoption in water infrastructure management. To achieve this, three empirical studies were conducted in the United Arab Emirates (UAE), a leader of technological innovation in the Middle East and globally. The first study investigates barriers to adopting DTs during the design and construction of D&C of water projects from the perspective of digitally savvy water stakeholders. A mixed method approach was used, comprising a structured questionnaire followed by a focus group discussion to contextualize and validate the results. The findings first indicate that key barriers are cybersecurity and data availability issues, a lack of standardization, limited government promotion, workforce digital skill gaps, and concerns about incremental costs. Qualitative insights highlight workforce skill capacity gaps as the most salient barrier, followed by cybersecurity, data quality, governance needs, and cultural resistance. The findings demonstrate how workforce, data-technical, cultural, and institutional dimensions collectively shape perceptions of DT adoption in water infrastructure projects. The study provides actionable insights for architecture, engineering, and construction (AEC) managers, technology providers, and government policymakers to facilitate DT integration and strengthen digital capacity, advancing the UAE’s vision for sustainable water management. The study contributes with a refined two-level insight framework on barriers analysis with underlaying factors. Besides, it validates context-specific barriers, adding to the global discourse on digitalization in urban water management. Thereby, it facilitates early-stage adoption and open avenues for future studies on digital transformation in water management. To address insufficient awareness of adoption drivers and the limited empirical evidence of project success. The second study examines the key drivers and perceived project success of digital water project implementations in the UAE. The analysis focuses on survey responses collected exclusively from digitally experienced stakeholders and triangulates with synthesized qualitative data on water case studies. The survey results indicate that performance optimization, leveraging data to reduce costs, asset-risk mitigation, and public-safety management are the key drivers of DTs adoption. Participants concurred on all drivers, except cost reduction and customer service, reflecting varying organizational priorities. Triangulation with global case studies corroborates the findings but highlights regulatory compliance as a more dominant driver globally than perceived within the UAE context. Both results show that digital twining projects are associated with positive perceptions of project success, as evidenced by goals’ achievement and team satisfaction. The study provides insights for policymakers in the UAE, underscoring the need for adaptive regulatory frameworks, coordinated governance, and clear mandates that connect DTs deployment to asset management and sustainabi","url":"https://openalex.org/W7162231282","authors":["Inas Abuawad"],"tags":["Business","Government (linguistics)","Workforce","Public sector","Empirical evidence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-22","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2615446522","name":"Researching IT in education","source":"openalex","abstract":"Abstract Many regions around the world are experiencing a gradual paradigm shift away from information technology (IT) use that complements traditional teaching and towards embedded IT use in E‐learning that is ubiquitous and pervasive. This has been conceptualized in this article using a framework depicting the affects of these shifts on learning environments that may change schooling and impact society. These trends provide new challenges for educational researchers at national and international levels, requiring attention to the interrelationships among the various components in an educational system. New evidence, which builds on earlier claims of an increasing digital divide between developing and developed countries, has shown that this phenomenon is much more complex than was previously thought. We suggest that a promising way to maximize the knowledge and impact of researching IT in education is to establish longitudinal programmatic research sustained through the establishment of E‐learning observatories, which can bring together expertise across a range of disciplines. A major challenge in forming a clear and coherent strategy for researching IT in education lies in the fact that there are multiple stakeholders with differing aims, goals and objectives. Therefore, reciprocal relationships are needed in which practice informs research and research informs practice with support and guidance from policymakers.","url":"https://doi.org/10.1111/jcal.12035","authors":["Margaret Cox","Dale S. Niederhauser","Nancy Tavera Castillo","Anne McDougall","Takashi Sakamoto","S. Roesvik"],"tags":["Reciprocal","Phenomenon","Sociology","Knowledge management","Educational research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2013-09-09","doi":"https://doi.org/10.1111/jcal.12035","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2143093088","name":"ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing","source":"openalex","abstract":"MOTIVATION: One of the most deadly cancer diagnoses is the carcinoma of unknown primary origin. Without the knowledge of the site of origin, treatment regimens are limited in their specificity and result in high mortality rates. Though supervised classification methods have been developed to predict the site of origin based on gene expression data, they require large numbers of previously classified tumors for training, in part because they do not account for sample heterogeneity, which limits their application to well-studied cancers. RESULTS: We present ISOLATE, a new statistical method that simultaneously predicts the primary site of origin of cancers and addresses sample heterogeneity, while taking advantage of new high-throughput sequencing technology that promises to bring higher accuracy and reproducibility to gene expression profiling experiments. ISOLATE makes predictions de novo, without having seen any training expression profiles of cancers with identified origin. Compared with previous methods, ISOLATE is able to predict the primary site of origin, de-convolve and remove the effect of sample heterogeneity and identify differentially expressed genes with higher accuracy, across both synthetic and clinical datasets. Methods such as ISOLATE are invaluable tools for clinicians faced with carcinomas of unknown primary origin. AVAILABILITY: ISOLATE is available for download at: http://morrislab.med.utoronto.ca/software CONTACT: gerald.quon@utoronto.ca; quaid.morris@utoronto.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.","url":"https://doi.org/10.1093/bioinformatics/btp378","authors":["Gerald Quon","Quaid Morris"],"tags":["Computational biology","Biology","Profiling (computer programming)","Sample size determination","Gene expression profiling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2009-06-19","doi":"https://doi.org/10.1093/bioinformatics/btp378","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7120013266","name":"AI for information integration and processing in digital twins (AI4IIP-DT)","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jii.2026.101066","authors":["Hervé Panetto","Michele Dassisti","Prof. Qing Li","Yannick Naudet"],"tags":["Field (mathematics)","Process (computing)","Transformative learning","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-10","doi":"https://doi.org/10.1016/j.jii.2026.101066","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7167080950","name":"IMMERSIVE LEARNING FOR RESILIENT CLASSROOMS. Digital infrastructure for life-saving furniture","source":"openalex","abstract":"In areas of high seismic risk, school safety depends not only on the structural performance of buildings, but also on occupants’ ability to recognise and correctly use protective devices and operational procedures. With this in mind, the paper presents the development of an Immersive Learning Environment (ILE) conceived as a digital socio-technical infrastructure supporting the Life Saving Furniture System (LSFS), developed within the inter-university research programme Vitality. The ILE integrates virtual reality, 360° content and augmented reality, relying on a static digital twin of the classroom. The research adopts a design-led approach, combined with hybrid model-based pilot experimentation. Preliminary results suggest improved understanding of the LSFS, an overall positive usability profile, and encouraging indications of procedural responsiveness. Article info Received: 10/03/2026; Revised: 10/04/2026; Accepted: 13/04/2026","url":"https://doi.org/10.69143/2464-9309/19282026","authors":["Federico Orfeo Oppedisano","Daniele Rossi","Manuel Scortichini"],"tags":["Usability","Multimedia","Computer science","Human–computer interaction","Immersive technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.69143/2464-9309/19282026","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4412621990","name":"QUANTUM SECURITY IN WEB 4.0: A NEW STAGE IN THE DEVELOPMENT OF THE METAVERSE","source":"openalex","abstract":"The rapid advancement of Web 4.0, or the Symbiotic Web, marks a pivotal shift in the evolution of the Internet, characterized by immersive digital experiences and intelligent, decentralized ecosystems. This paper explores the intersection of Web 4.0, the Metaverse, and quantum security, focusing on the urgent need to secure digital infrastructures against the growing threat of quantum computing. As the Metaverse becomes a dynamic driver of digital transformation and economic development, the integration of post-quantum cryptography and quantum-resistant systems is essential for ensuring data privacy, digital sovereignty, and cyber resilience. The study examines key technological trends - including AI, blockchain, XR, and the Industrial Metaverse - within the context of current geopolitical risks, particularly the war in Ukraine. It highlights international quantum strategies, post-quantum encryption standards, and emerging architectures such as quantum blockchain. The authors argue that a proactive approach to quantum security is imperative for safeguarding future virtual environments, emphasizing Ukraine’s strategic opportunity to build a robust and ethical quantum ecosystem.","url":"https://doi.org/10.69635/mssl.2025.1.1.16","authors":["Danyila Oliіnyk","Stepan Koshkarov","Yurii Konizhai"],"tags":["Metaverse","Development (topology)","Computer science","World Wide Web","Stage (stratigraphy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-24","doi":"https://doi.org/10.69635/mssl.2025.1.1.16","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7155247165","name":"Aether: Network Validation Using Agentic AI and Digital Twin","source":"openalex","abstract":"Network change validation remains a critical yet predominantly manual, time-consuming, and error-prone process in modern network operations. While formal network verification has made substantial progress in proving correctness properties, it is typically applied in offline, pre-deployment settings and faces challenges in accommodating continuous changes and validating live production behavior. Current operational approaches typically involve scattered testing tools, resulting in partial coverage and errors that surface only after deployment. In this paper, we present Aether, a novel approach that integrates Generative Agentic AI with a multi-functional Network Digital Twin to automate and streamline network change validation workflows. It features an agentic architecture with five specialized Network Operations AI agents that collaboratively handle the change validation lifecycle from intent analysis to network verification and testing. Aether agents use a unified Network Digital Twin integrating modeling, simulation, and emulation to maintain a consistent, up-to-date network view for verification and testing. By orchestrating agent collaboration atop this digital twin, Aether enables automated, rapid network change validation while reducing manual effort, minimizing errors, and improving operational agility and cost-effectiveness. We evaluate Aether over synthetic network change scenarios covering main classes of network changes and on past incidents from a major ISP operational network, demonstrating promising results in error detection (100%), diagnostic coverage (92-96%), and speed (6-7 minutes) over traditional methods.","url":"https://openalex.org/W7155247165","authors":["Jordan Augé","Sam Betts","Giovanna Carofiglio","Giulio Grassi","Martin Gysi","John Kenneth d'Souza"],"tags":["Computer science","Correctness","Emulation","Process (computing)","Network architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-20","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7116210625","name":"Semantic Grounding of Digital Twin Metamodels Using RDF Graphs","source":"openalex","abstract":"Digital Twins (DTs) represent digital counterparts of physical systems, assets, or processes, referred to as the actual twin (AT). DTs integrate heterogeneous data, models, and semantic technologies to support monitoring, simulation, prediction, and optimization, enabling informed decision-making while maintaining a dynamic and accurate reflection of the AT. A key challenge is aligning heterogeneous models, which can cause semantic mismatches, inconsistencies, and synchronization issues. Existing approaches relying on static mappings and manual updates are often inflexible and error-prone. In this study, we address heterogeneity challenge in multi-layered DT, by introducing semantic grounding pipeline for multi-layered DTs that enables consistent and reliable interoperability between abstraction layers. We make three contributions. First, we design and implement multi-layered DT using flexible modelling framework, to organize data, model and metamodel layers. Second, we semantically lift DT metamodel to RDF graph for unified representation. Finally, we present a graph-based alignment approach (SSM-OM), which leverages semantic embeddings, lexical similarity, and large language model (LLM) reasoning to accurately establish and validate correspondences between the lifted metamodel and ontology. We validate correctness, interoperability, cross-layer traceability, domain applicability and general empirical performance through RDF tests, a DT usecase, and ontology alignment evaluation initiative (OAEI) benchmarks, demonstrating semantic consistency in multi-layered DT.","url":"https://openalex.org/W7116210625","authors":["Abbasi, Faima","Sottet, Jean-Sébastien","Pruski, Cedric"],"tags":["Computer science","Abstraction","Scalability","Semantics (computer science)","Semantic heterogeneity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-17","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7140043998","name":"Optimization Research of AI+Digital Twins in Building Equipment System","source":"openalex","abstract":"Under the macro background of actively responding to climate change and promoting the “double carbon” strategy, the construction industry, as a key field of energy consumption and carbon emissions, has become a trend of green and low-carbon transformation. The operation efficiency of building equipment system, especially HVAC, electrical lighting and water supply and drainage system, directly determines the overall energy consumption of the building. This study focuses on the frontier technology integration of “ai+digital twins”, and explores its application and implementation path in the optimization of building equipment system. Through systematic literature review, the application status of digital twins and AI technology in the whole life cycle of building equipment design, construction, operation and maintenance is summarized. Through the case analysis of multiple scenarios, the energy efficiency improvement ability and carbon emission reduction benefits of the technology in typical scenarios such as commercial buildings, factories, municipal water supply networks are quantitatively evaluated. Finally, based on the comprehensive research data and AI intelligent analysis, a set of “technology economy policy” collaborative transformation path covering technical standards, business models and policy incentives is constructed, which provides an operable solution for the implementation of the “double carbon” goal in the construction field.","url":"https://doi.org/10.22158/grhe.v9n1p108","authors":["Liu Miaomiao","Zhan Jia","Zhao Jian","Cao Huili","Wu Zaitian"],"tags":["Energy consumption","Incentive","Efficient energy use","Engineering","Consumption (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-23","doi":"https://doi.org/10.22158/grhe.v9n1p108","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166849897","name":"Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10144018/v1","authors":["Warren Pettine","Md. Rakibul Haque","Shireen Elhabian"],"tags":["Pointwise","Benchmark (surveying)","Fidelity","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.21203/rs.3.rs-10144018/v1","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7154433902","name":"Digital twins in wood production and processing – status factors and requirements","source":"openalex","abstract":"Даны понятия цифрового двойника и производств будущего применительно к лесопромышленному комплексу. Сформулированы факторы состояния лесозаготовок, определяющие специфику цифровых двойников объектов лесозаготовок и систем их сопровождения. Разработаны укрупненные группы требований достоверного, работающего отражения реальных объектов цифровыми двойниками, обеспечивающих производительность массового производства с индивидуализацией обработки и переработки предмета труда лесопромышленного комплекса при его существенном разнообразии и неопределенности, в частности стохастичности.","url":"https://openalex.org/W7154433902","authors":["С. Б. Якимович","S. B. Yakimovich"],"tags":["Production (economics)","Environmental science","Engineering","Food processing","Agricultural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7167344731","name":"Agentic LLMs for Scalable, Verifiable System Health Digital Twins","source":"openalex","abstract":"System Health Management (SHM) digital twins have evolved from specialized engineering tools into enterprise-wide critical systems supporting diagnostics and lifecycle decision support, yet scaling the creation, validation, and maintenance of detailed causal models remains a bottleneck due to labor-intensive, expert-driven processes that do not scale with system complexity or lifecycle evolution. This paper presents an AI-driven framework addressing this challenge through a tightly integrated neuro-symbolic architecture that combines agentic large language models (LLMs) as constrained knowledge extraction agents with a rigorous symbolic reasoning core grounded in multi-functional causal modelling, enforcing structural, semantic, and logical constraints to transform extracted knowledge into verifiable, executable diagnostic models while shifting human expertise toward validation, governance, and continuous improvement. The framework implements an end-to-end “ingest–extract–structure–verify” pipeline converting artifacts (i.e., technical manuals, schematics, FMECA data) into formal causal models compatible with TEAMS and SysML-based representations, providing a single source of truth for downstream applications including fault detection and isolation, prognostics, sensor optimization, training scenario generation, and lifecycle-informed design. Demonstrated results show up to an 80% reduction in engineering effort and rapid model generation at previously impractical scales, with aerospace and space system deployments confirming accurate, scalable operational reasoning, while an enterprise operating model treats the digital twin as a governed, evolving asset integrated across design, operations, maintenance, and training, enabling continuous adaptation from field data and offering a practical path to trustworthy, adaptive digital twins that deliver sustained enterprise-scale value.","url":"https://doi.org/10.54941/ahfe1007674","authors":["Chris Norton","K. Pattipati","Jordan Thurston","D. Haste","Sudipto Ghoshal","Somnath Deb","William Lawless"],"tags":["Computer science","Bottleneck","Scalability","Data science","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.54941/ahfe1007674","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7154006945","name":"Intelligent Algorithms for Prefabricated Concrete Component Production Scheduling: A Bibliometric Review of Trends, Collaboration Networks, and Emerging Frontiers","source":"openalex","abstract":"Precast concrete (PC) component production scheduling is essential to the efficiency and reliability of industrialized construction. Although intelligent algorithms have been widely applied in this field, the relationships among research evolution, collaboration patterns, and industrial applicability remain insufficiently understood. To address this issue, this study presents a bibliometric review of 1272 publications indexed in the Web of Science Core Collection from 1990 to 2025. CiteSpace was employed to analyze publication trends, collaboration networks, co-citation structures, keyword co-occurrence, and burst terms. On this basis, a technology adaptability evaluation framework was developed to assess the alignment between algorithmic advances and industrial implementation in terms of dynamic adaptability, verification completeness, and technological generation gap. The results indicate that the field has evolved through four broad stages, from early static optimization to multi-objective coordination, digital twin-enabled dynamic scheduling, and emerging human-centric intelligent autonomous systems. The analysis also shows an increasing convergence of operations research, computer science, and civil engineering. However, a gap remains between academic output and industrial application. Specifically, 32% of the retrieved studies focused on genetic algorithms, whereas only 6% reported full-process industrial validation. In addition, Gen 4.0-related studies showed a technological generation gap of 82.5%, indicating that many frontier technologies have not yet reached broad industrial implementation. The collaboration network further reveals a “high-output, low-synergy” pattern, in which major publishing countries contribute substantially to the literature but exhibit limited cross-institutional integration. This study provides a structured overview of the development of PC component production scheduling research and highlights future directions for digital twin integration, human–robot collaboration, and cross-sector validation platforms.","url":"https://doi.org/10.3390/buildings16081523","authors":["Yizhi Yang","Tao Zhou"],"tags":["Adaptability","Component (thermodynamics)","Scheduling (production processes)","Field (mathematics)","Industrial production"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-13","doi":"https://doi.org/10.3390/buildings16081523","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2147802704","name":"Use of insulin glargine during embryogenesis in a pregnant woman with Type 1 diabetes","source":"openalex","abstract":"Technical failure in photographic screening for diabetic retinopathyDiabetic retinopathy is the largest single cause of registered blindness among people of working age.At any time, 10% of the diabetic population may have retinopathy requiring ophthalmological follow-up or treatment [1].The two main approaches to diabetic retinopathy screening include regular ophthalmoscopic examination and retinal photography with subsequent grading.Digital fundus photography has greatly replaced slide and polaroid photography and is a cost-effective system.However, good quality images are essential for accurate grading to be possible.The National Screening Committee (NSC) recommends that the technical failure rate for digital fundus photography should be less than 5% (www.diabetic-retinopathy.screening.nhs.uk).In order to determine if this target is achievable, we have audited the technical failure rate at St James University Hospital.We completed the audit cycle and looked at 150 consecutive retinal images in May 2002, and another 150 images in September 2002.The images were taken by two photographers, both of whom had received an initial training of 3 weeks to familiarize them with ophthalmic photography, and had 1 year of practical experience before the start of the study.Based on the National Screening Committee criteria, the set of images from each patient were classified as being a technical success or a technical failure due to photographic error, or a technical failure due to patient factors such as media opacity, small pupil or patients with difficulty in positioning.The images were considered a technical failure due to photographic error if the correct number of images had not been taken, the images were not centred well, or had poor clarity obscuring view of 1/3 or more of the temporal image or the large temporal blood vessels.If the image quality was poor, the photographers were asked to provide a red reflex image to demonstrate media opacity, small pupil, etc.With such supporting evidence, the images were to be considered technical failure due to media opacity.In its absence, it was presumed that it was a technical failure due to photographic error.Our technical failure rate in this completed audit cycle was 7%.We could not achieve the recommended technical failure rate less than 5% as suggested by NSC.In all, there were 13 (4.3%)technical failures due to media opacity, small pupil or difficult positioning of the patient.This figure did not differ much between the audits, being six in the first audit and seven in the second.There were eight technical failures due to photographic error, five in the first audit and three in the second.It is possible that continued discussion with the photographers may reduce this figure further.This study suggests that the technical failure rate is greatly dependent on patient variable factors like cataract, small pupil, etc. and hence may be difficult to achieve.However, if we are able to reduce the technical failure rate due to photographic error to less than 1%, and assuming that the images failing due to patient factor remain constant at around 4%, the standard proposed by NSC would be achievable.","url":"https://doi.org/10.1046/j.1464-5491.2003.00992.x","authors":["Andreas Holstein","A. Plaschke","E.‐H. Egberts"],"tags":["Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2003-08-19","doi":"https://doi.org/10.1046/j.1464-5491.2003.00992.x","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7165634533","name":"Brief communication: delivering a Digital-Twin-ready snow reanalysis","source":"openalex","abstract":"Abstract. We present DTE-SNOW, a Digital-Twin-ready framework for simulating the spatial and temporal dynamics of snow-water resources at 1 km resolution, based on satellite-derived precipitation, snow modeling, and the optional assimilation of Sentinel-1 snow-depth retrievals. Using test simulations over four European mountain basins (Ebro, Rhône, Po, and Inn), we show that DTE-SNOW achieves an average snow-depth bias of only a few centimeters (0.05 m when Sentinel-1 snow-depth assimilation is applied). The simulated spatial patterns successfully reproduce the topographic dependence of snow distribution, with correlations between mean annual Snow Water Equivalent (SWE) and elevation ranging from 0.63 to 0.77. Because DTE-SNOW is independent of in situ observations, it opens new opportunities toward a “SWE of everywhere” paradigm: a globally consistent estimation of snow-water resources within DestinE.","url":"https://doi.org/10.5194/egusphere-2026-2851","authors":["Francesco Avanzi","Hans Lievens","Michael Matiu","Paolo Filippucci","Oscar M. Baez‐Villanueva","Simone Gabellani","Fabio Delogu","Lorenzo Alfieri","Andrea Libertino","Pere Quintana‐Seguí","Diego G. Miralles","Luca Brocca","Christian Massari","Gabriëlle J. M. De Lannoy"],"tags":["Snow","Environmental science","Data assimilation","Snow cover","Climatology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-23","doi":"https://doi.org/10.5194/egusphere-2026-2851","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7171601563","name":"Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits","source":"openalex","abstract":"Digital twins are often used to predict how a system would respond to an intervention. In systems with feedback, a twin must reproduce an equilibrium counterfactual, and a twin developed in one domain may fail after mechanisms change. We study when these predictions can be validated and transported. For equilibrium causal games, we give conditions on the mechanisms, equilibrium selection, and intervention design under which agreement with experimental distributions identifies the counterfactual of interest. We show why agreement of means and covariances is insufficient for distributional queries. We then introduce cyclic selection diagrams and derive criteria for direct reuse and for hybrid models that combine invariant source mechanisms with target information. An impossibility result constructs systems that agree under every experiment in a finite design but disagree on the target counterfactual, showing that validation requires structural assumptions. For linear models, we derive intervention requirements that depend on the mechanisms that changed, the observation model, and graph support. When point identification fails, we characterize the remaining range of query values. We also provide statistical tests for reconstructed means and covariances and illustrate the theory in synthetic feedback systems.","url":"https://openalex.org/W7171601563","authors":["Faraz Dadgostari","Neda Nazemi"],"tags":["Counterfactual thinking","Identification (biology)","Computer science","Range (aeronautics)","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7128444062","name":"Editorial: The changing landscape of marketing research in the AI era: prospects and challenges","source":"openalex","abstract":"The advent of artificial intelligence (AI) – encompassing both generative and analytical AI – has dramatically transformed the landscape of marketing research and practice, spanning theoretical frameworks, cutting-edge research frontiers, methodological tools and ethical guidelines. Driven by AI and recommendation algorithms, interactive marketing domains and research realms have transcended the scope of digital marketing tools, customized data collection, customer connection, engagement and participation (Wang, 2021; Yu, 2023), shifting toward sophisticated market predictive analytics, precise forecasting, in-depth consumer insights and real-time hyper-personalized recommendations (Habil et al., 2023). For instance, natural language processing (NLP) is deployed for sentiment analysis on vast volumes of unstructured text data derived from social media, customer reviews, discussion forums and consumer surveys. This enables researchers to gauge public sentiment, identify customer pain points and detect emerging trends in outcome evaluation – including the measurement of consumer brand perception and interactive experiences with virtual influencers (Nghiêm-Phú and Suter, 2023). In this way, AI-powered marketing research unlocks rich qualitative insights from quantitative datasets, establishing real-time feedback loops that inform product development and marketing strategy formulation throughout interactive processes.Meanwhile, the rapid evolution of generative AI, coupled with the proliferation of AI replicas (e.g. digital doppelgängers, digital twins and digital personas) and deepfake technologies, entails inherent risks. These include database contamination (Burden et al., 2025), AI hallucinations (Wen and Laporte, 2025), model collapse and the average trap (Huang and Rust, 2025), as well as ethical dilemmas such as algorithmic bias, identity theft and privacy and security concerns (Grewal et al., 2025). Collectively, these issues underscore the double-edged nature of AI, posing profound challenges for both academic inquiry and practical implementation.This article first provides an overview of the evolving research paradigms and emerging themes in marketing research during the AI era. It then outlines theoretical reconceptualizations and methodological advancements catalyzed by AI technologies. Finally, it examines the challenges and potential risks associated with AI tool applications in marketing research and practice and delineates future research directions.Advancements in human-machine interaction have blurred the boundaries between human input and machine output, driving a paradigm shift in marketing research. Traditional interactive marketing frameworks – centered on human-human, human-brand and human-technology interactions (Wang, 2021, 2023) – have given way to an “algorithmic symbiosis” model, which emphasizes synergistic collaboration between humans and AI-based systems (Almeida and Senapati, 2024; Wang). Algorithmic symbiosis denotes a mutually beneficial coexistence of human and machine intelligence, wherein both entities collaborate to enhance each other's capabilities (Litvinova et al., 2024).This paradigm shift necessitates a re-examination of the theoretical debate surrounding AI'srole: whether it functions as an assistant, substitute, replacement or complement to human agents. Early studies explored how voice-activated assistants and AI-driven chatbots optimize customer inquiry responses by reducing latency and improving operational efficiency (Candao et al., 2023). As AI technologies have grown more sophisticated, scholarly attention has shifted from AI'sauxiliary role to its function as an empowered agent that actively participates in value co-creation processes (Wang, 2024). In contemporary marketing practice, AI systems are no longer viewed merely as tools or assistants but as extensions of human agents within synergistic partnerships – leveraging the complementary strengths of human intuition and algorit","url":"https://doi.org/10.1108/jrim-02-2026-766","authors":["Cheng Lu Wang"],"tags":["Influencer marketing","Digital marketing","Marketing research","Social media","Qualitative marketing research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.1108/jrim-02-2026-766","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7167981046","name":"Large Behavior Model: A Promptable Digital Twin of the Retail Customer","source":"openalex","abstract":"Customer behavior modeling underpins recommendation, marketing, and decision support, yet existing approaches either optimize predictive accuracy without explaining decisions or simulate users without grounding them in real behavioral data. We present the Large Behavioral Model (LBM) that learns customer decision making directly from large-scale retail transactions through a unified Person-Environment formulation. Customer state is represented by a behavioral profile derived from historical purchases, while product context is incorporated through retrieval-augmented generation. The model is trained using continued pre-training on verbalized behavioral data, supervised fine-tuning for decision generation, and reinforcement learning with verifiable rewards for evidence-based calibration. We evaluate the proposed framework on purchase prediction, hard-negative discrimination, basket completion, promotion response, and cross-domain voucher redemption. The model consistently outperforms frontier general-purpose language models on in-domain retail tasks while demonstrating strong zero-shot and fine-tuned transfer across retailers and decision domains. Ablation studies show that continued pre-training is the primary driver of behavioral generalization, retrieval is most effective when applied during both training and inference, and reinforcement learning improves reliance on explicit behavioral evidence over generic language-model priors. These results demonstrate that behavioral knowledge encoded in transaction histories can be effectively learned by language models, providing a scalable foundation for customer digital twins and behavior simulation.","url":"https://openalex.org/W7167981046","authors":["Wachiravit Modecrua","Krittin Pachtrachai","Touchapon Kraisingkorn"],"tags":["Computer science","Reinforcement learning","Behavioral modeling","Context (archaeology)","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-08","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7169753178","name":"A Self-Adaptive Digital Twin Architecture for Dynamic Resource Management","source":"openalex","abstract":"Digital Twins (DTs) are increasingly used to manage systems under fluctuating demand, yet many remain static and cannot adjust their internal models or control policies as the targeted real system changes. We present a self-adaptive DT architecture that supports runtime reconfiguration of resources. The architecture integrates semantic reflection to keep the DT's runtime model aligned with the structural representation of the real system, lifecycle-based state management to trigger reconfiguration at appropriate times, and penalty-guided optimisation for decision-making under constraints, balancing resilience and operational cost when capacity must be reorganised. We realise the approach in DynResDT, a resilient hospital ward prototype for bed bay allocation of patients. Through simulation with realistic patient-arrival patterns and stress peaks, the DT maintains model consistency, opens and closes overflow capacity when needed, and allocates patients while minimising costly room usage and unnecessary moves. Our results show a practical trade-off between correctness and responsiveness: timely and principled adaptions offset potential overhead through reflection and lifecycle logic. The architectural pattern is applicable beyond healthcare to other dynamic resource-management domains. CCS Concepts • Software and its engineering → Layered systems; Software as a service orchestration system; • Computer systems organization → Self-organizing autonomic computing.","url":"https://doi.org/10.1145/3788550.3794872","authors":["Riccardo Sieve","Paul Kobialka","Andrea Pferscher","Nelly Bencomo","Silvia Lizeth Tapia Tarifa","B. Rasmussen","Einar Broch Johnsen"],"tags":["Computer science","Architecture","Resource management (computing)","Systems architecture","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-13","doi":"https://doi.org/10.1145/3788550.3794872","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7171714490","name":"Editorial: The future of oncology: digital twins and precision cancer care","source":"openalex","abstract":"The papers \"DATA 5.0 -Data Acquisition, Translation & Analysis -a prospective uro-oncological data warehouse for the 21st century\" by Schutz et al. and \"Understanding the need for digital twins' data in patient advocacy and forecasting oncology\" by Chang et al. delve into fundamental elements of the data underlying a successful digital twin in oncology. The collection, aggregation, and ethical sharing of longitudinal data for oncology digital twins are key pillars for the future of cancer patient digital twins. Ensuring data quality, harmonization, and representative sampling across diverse populations is critical, not only to realize the potential of more effective and costeffective clinical trials, but also for ensuring the use of digital twins in oncology to improve outcomes across demographics. The role of AI to aid these efforts is also a key pillar to the future success for oncology digital twins, streamlining areas including collection, featurization, and selection of quality datasets. Furthermore, AI can provide data-driven models to help fill the gap when effective mechanistic approaches are unavailable.The final two papers, \"Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas\" by Chaudhuri et al., and \"Bridging the gap between hepatocellular carcinoma management guidelines and personalised medicine: a Bayesian network study\" by Wang et al., point the way forward with real examples of AI and digital twins in a clinical decision support capacity. While each is unique, both studies reinforce the fact that early-generation digital twins are most effective when engineered to inform on specific clinical questions. There are commonalities in the use of Bayesian methods to incorporate prior insights from both the individual patients and broader populations. The papers also highlight a key value proposition of cancer digital twins to incorporate the ever-expanding domain of patient data and observations in a common approach and framework, supporting the care team with new insights to guide increasingly optimal treatment decisions.Digital twins in oncology research started to gain momentum after NCI and DOE jointly launched the Cancer Patient Digital Twin initiative in July 2020 [3]. Observing across the papers in this Research Topic and the growing number of examples of cancer digital twins [4] and digital twins that have since been developed in other health areas [5], the pace of medical digital twin development is accelerating. Efforts such as the European Union supported Virtual Human Twin [6], the Digital Twins for Health Society [7], the Virtual Human Global Summit [8,9], the Swedish Digital Twin Consortium (SDTC) [10], and the Digital Twin Summit at MD Anderson Cancer Center all stand testament to the growing community involved in the development of medical digital twins.A common theme emerging across these contributions is that the future success of oncology digital twins will depend as much on implementation, validation, and continuous improvement as on model development. While advances in AI, multimodal data integration, and computational modeling have accelerated the creation of increasingly sophisticated digital twins, demonstrating clinical utility and dynamical learning remains a critical next step. Future oncology digital twins must be evaluated not only for predictive accuracy but also for their ability to support clinical decision making, communicate uncertainty, integrate into existing workflows, and improve patient outcomes [11]. Importantly, the most impactful digital twins may not be comprehensive virtual replicas of patients, but rather focused, continuously learning systems designed to support specific clinical decisions. As the field matures, rigorous validation, uncertainty quantification, and prospective evaluation will be essential to translating the promise of digital twins into routine oncology care.As we look to the future for digit","url":"https://doi.org/10.3389/frai.2026.1912241","authors":["Eric Stahlberg","Jun Deng","Tina Hernandez-Boussard","Qi Wang","Hongfang Liu","Tanveer Syeda-Mahmood","Boris Aguilar","Huanmei Wu","Aidong Zhang"],"tags":["Digital health","Data science","Digital data","Medicine","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-29","doi":"https://doi.org/10.3389/frai.2026.1912241","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4392567983","name":"Designing an Inclusive City with Chrono-Urbanism Principles","source":"openalex","abstract":"A study was conducted in Tallasa District, the newly developing district in Makassar, Indonesia, to examine all public facilities accessible in the Chrono-Urbanism timeframe and promote social inclusion and equal participation. The study found that while the concept may not be sustainable in the long term, potential development could be achieved through adjustments in spatial planning connections and involving a wide range of age groups in neighborhood designs. The study used the principles of proximity, diversity, density, and digitalization to analyze the concept. The results showed that only the diversity criteria almost met the accessibility and inclusiveness aspects. Applying the Chrono-Urbanism theory may encounter difficulties in regions with large populations and distinctive geographical features such as Indonesia's archipelago. Diverse demographic characteristics, various transportation needs between different areas, and differences in economic and educational strata pose specific challenges. The complexities in managing urban spaces and ensuring proximity and accessibility become more pronounced in densely populated areas and require considerations to accommodate the unique circumstances of each region like Tallasa District in Makassar.","url":"https://doi.org/10.15377/2409-9821.2023.10.7","authors":["Khilda Wildana Nur","Andi Annisa Amalia","Fitrawan Umar","Lutfiah Hafifah","Aisyah Ayu Andira Alkatiri","Khaerul Mubarak","Muhammad A. Syamsuddin"],"tags":["Urbanism","Architectural engineering","New Urbanism","Sociology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-23","doi":"https://doi.org/10.15377/2409-9821.2023.10.7","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7202283563","name":"Toward application-driven battery design through digital twins","source":"openalex","abstract":"In present energy technology, materials discovery, device design, manufacturing, and operation remain predominantly sequential, with limited cross-stage feedback throughout the development chain. Recent advances are, however, converging toward a common design philosophy, in which the application requirements inform early design decisions at materials and cell level before large-scale physical realization. Using battery systems as a compelling testbed, this Research Highlight explores how digital twins could establish continuous learning from deployment to design, shortening innovation cycles and accelerating industrial implementation.","url":"https://doi.org/10.1007/s44503-026-00014-0","authors":["Wendi Guo","Tejs Vegge","Daniel Brandell"],"tags":["Software deployment","Battery (electricity)","Computer science","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-12","doi":"https://doi.org/10.1007/s44503-026-00014-0","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7139145963","name":"Traffic and weather driven hybrid digital twin for bridge monitoring","source":"openalex","abstract":"A hybrid digital twin framework is presented for bridge condition monitoring using existing traffic cameras and weather APIs, reducing reliance on dedicated sensor installations. The approach is demonstrated on the Peace Bridge (99 years in service) under high traffic demand and harsh winter exposure. The framework fuses three near-real-time streams: YOLOv8 computer vision from a bridge-deck camera estimates vehicle counts, traffic density, and load proxies; a Lighthill--Whitham--Richards (LWR) model propagates density $ρ(x,t)$ and detects deceleration-driven shockwaves linked to repetitive loading and fatigue accumulation; and weather APIs provide deterioration drivers including temperature cycling, freeze-thaw activity, precipitation-related corrosion potential, and wind effects. Monte Carlo simulation quantifies uncertainty across traffic-environment scenarios, while Random Forest models map fused features to fatigue indicators and maintenance classification. The framework demonstrates utilizing existing infrastructure for cost-effective predictive maintenance of aging, high-traffic bridges in harsh climates.","url":"https://openalex.org/W7139145963","authors":["Phani Raja Bharath Balijepalli","Bulent Soykan","Veeraraghava Raju Hasti"],"tags":["Bridge (graph theory)","Monte Carlo method","Computer science","Real-time computing","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-14","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7159546567","name":"Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms","source":"openalex","abstract":"Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial test conditions. This paper presents a threat-oriented digital twinning methodology for cybersecurity evaluation of learning-enabled autonomous platforms. The approach is instantiated as an open-source, modular twin of a representative autonomy stack with separated sensing, autonomy, and supervisory-control functions; confidence-gated multi-modal perception; explicit command and telemetry trust boundaries; and runtime hold-safe behavior. The contribution is methodological: a reproducible design pattern that translates threat analysis into observable, controllable tests for spoofing, replay, malformed-input injection, degraded sensing, and adversarial ML stress. Although the implemented proxy is ground based, the architecture is intentionally framed around stack elements shared with UAV and space systems, including constrained onboard compute, intermittent or high-latency links, probabilistic perception, and mission-critical recovery behavior. The result is an implementable research scaffold for dependable and secure autonomy studies across UAV and space domains.","url":"https://openalex.org/W7159546567","authors":["Thomas J. Neubert","Laxima Niure Kandel","Berker Peköz"],"tags":["Computer science","Modular design","Adversarial system","Computer security","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-28","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7117457929","name":"High-temperature heat pumps: key technologies and industrial applications toward carbon–neutral process heating","source":"openalex","abstract":"Abstract High-temperature heat pumps (HTHPs) are emerging as pivotal technologies for decarbonizing industrial heat supply by upgrading low-grade waste heat to meet diverse thermal demands. This review summarizes and analyzes the current state, applications and future trends of HTHPs from a carbon–neutral perspective. Core technological aspects—including cycle configurations, refrigerants, compressors, and integration strategies—are systematically analyzed. Thermodynamic comparisons reveal that cascade and coupled cycles can achieve temperature lifts above 100 °C under optimized conditions. The transition from high global warming potential (GWP) hydrofluorocarbons toward low-GWP hydrofluoroolefins, hydrochlorofluoroolefins, and natural refrigerants is accelerating. Large-capacity screw and centrifugal compressors are identified as key enablers for industrial-scale deployment. Typical industrial deployments of HTHPs across various fields are introduced, mainly structured around their application potential, integration characteristics, and implementation methods within energy-intensive sectors (e.g., paper manufacturing, textile dyeing). Future development will focus on high-power systems, advanced working fluid design, and digital control integration with renewable power and thermal storage. Collectively, HTHPs constitute an essential electrification pathway for achieving deep industrial decarbonization and carbon–neutral energy systems.","url":"https://doi.org/10.1007/s44438-025-00021-z","authors":["Jiale Wu","Luwei Yang","Chong zhang"],"tags":["Electrification","Renewable energy","Refrigerant","Process integration","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.1007/s44438-025-00021-z","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7169783274","name":"Ten questions on digital twins of buildings for transforming building operations","source":"openalex","abstract":"Buildings are becoming ever more complex to manage during operations, driven by increasing dynamics in energy demand, intermittent on-site power generation, and distributed energy resources, compounded by variable grid pricing signals and the rising threat of extreme weather events causing large-scale power outages. To achieve optimal performance in energy efficiency, demand flexibility, energy resilience, and occupant comfort, new methods and tools are essential for transforming design and operations across a building’s entire life cycle. Digital Twins (DTs), enabled by recent advances in ubiquitous sensing, big data, cloud computing, and AI, offer a transformative approach to creating a real-time, bi-directional digital counterpart of a physical building. This paper presents ten critical questions highlighting the most foundational issues underpinning the successful deployment of digital twins of buildings. The questions are holistically structured around three core themes to provoke significant research and accelerate adoption. The paper first examines the Users and Business aspects, including use cases, stakeholder alignment, business models, and governance structures. It then dives into the Technology foundation, addressing key components, layered software architectures, data integration, semantic interoperability, and the critical issues of cybersecurity and privacy. Finally, it explores Application aspects, such as the role of AI, performance metrics and standards, and the current landscape of software tools. DT technology is still in the early stage of adoption in buildings despite successful pilot applications in preventive maintenance, FDD, and advanced controls to optimize building performance. Several barriers need to be addressed to scale up DT technology in buildings, including high development and maintenance costs, the lack of data-rich infrastructure in buildings, and a shortage of skilled workforce.","url":"https://doi.org/10.1016/j.buildenv.2026.115023","authors":["Tianzhen Hong","Hui Li","Yimin Zhu","Bing Dong","Liang Zhang","Ruchi Choudhary"],"tags":["Architectural engineering","Engineering","Construction engineering","Computer science","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-20","doi":"https://doi.org/10.1016/j.buildenv.2026.115023","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7167748846","name":"Modular Foundation Models for Time-Series Perception in Digital Twins","source":"openalex","abstract":"Engineering Digital Twins and Prognostics and Health Management (PHM) systems rely on robust perception modules to extract actionable information from heterogeneous and non-stationary time-series data. However, most existing approaches remain task-specific, data-hungry, and difficult to integrate into scalable monitoring and decision-making pipelines. Moreover, purely data-driven models often lack robustness and transferability across varying operating conditions. To address these challenges, this paper proposes a modular foundation model for time-series perception based on a collection of pretrained representation encoders. The framework leverages self-supervised learning on heterogeneous datasets to learn transferable and task-agnostic representations, which can be reused across multiple PHM tasks. A gating mechanism is introduced to dynamically select relevant encoders for a given target dataset, enabling conditional computation and adaptive model composition. The selected representations are projected into a shared latent space and aggregated using a Transformer-based self-attention module that explicitly models cross-encoder interactions. The resulting architecture supports multiple downstream tasks, including imputation, long-term forecasting, and few-shot learning, through lightweight task-specific heads, while keeping pretrained encoders frozen during adaptation. Extensive ablation studies demonstrate the complementary roles of self-supervised pretraining, encoder selection, representation alignment, and adaptive aggregation. Experimental results on the ETT benchmark show competitive performance across tasks, while a real-world industrial case study on virtual sensing for hydro-generator rotor temperature highlights the practical relevance of the approach.","url":"https://openalex.org/W7167748846","authors":["Quang Hung Pham","Ryad Zemouri","Martin Gagnon","Luc Vouligny"],"tags":["Modular design","Computer science","Scalability","Robustness (evolution)","Prognostics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-03","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4402763763","name":"Transition Approaches towards Positive Energy Districts: A Systematic Review","source":"openalex","abstract":"The positive energy district (PED) concept is attracting growing research interest; however, the need for practical approaches to facilitate their implementation remains crucial. This study, framed in the COST Action ‘Positive Energy Districts European Network’, offers a comprehensive review of the roadmaps, pathways, and guidelines—namely ‘PED-Transition Approaches’—currently available to support the implementation of district-scale innovative models, thereby advancing energy transitions and enhancing livability at the city level. The review involved a systematic search and web scraping of documents, including scientific and grey literature, as well as EU-funded projects’ reports. The studies were identified according to multiple filters and eligibility criteria, then categorised in a structured repository using a multidimensional matrix, and finally examined following three-levels of detail (i.e., bibliometric study) overview and in-depth analysis. The findings reflect the main characteristics, gaps, and challenges in PED implementation by underlying the growing need for effective step-by-step, user-centric, and context-based transition approaches. In conclusion, the research, building on an extensive literature of multiple inspirational methodologies and their associated use cases, is a strong basis to develop sequential pathways to facilitate PED implementation among key stakeholders in a short–medium-term perspective towards a climate-neutral city vision.","url":"https://doi.org/10.3390/buildings14103039","authors":["Giulia Turci","Paolo Civiero","Isabel Aparisi-Cerdá","Ilaria Marotta","Gilda Massa"],"tags":["Transition (genetics)","Energy transition","Psychology","Medicine","Alternative medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-24","doi":"https://doi.org/10.3390/buildings14103039","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7204077254","name":"Role of health digital twins in oncology drug development - a primer","source":"openalex","abstract":"Health Digital Twins (HDTs) have attracted increasing interest as a potential tool for improving both patient care and clinical research, particularly in oncology where clinical trials remain slow, costly, and operationally complex. This primer introduces the concept of digital twins in a form accessible to professionals involved in oncology clinical research and outlines the main components of health digital twins, describes how these systems are generated, and highlights their potential relevance to oncology trials. HDTs are personalized, dynamically updated, predictive, and decision−informing computational representations that integrate clinical records, laboratory measurements, imaging, pathology, and molecular data. The generation of an HDT begins with the integration of multiple sources of information to create a digital representation that reflects the patient’s disease state and can be updated as new information becomes available. These systems may be built using data−driven AI models, mechanistic physiological models, or hybrid approaches that combine both. Emerging HDT−based approaches have been proposed as a means of addressing several of the structural limitations of oncology trials by enabling in−silico experimentation, improved biological stratification of patients, and more efficient use of longitudinal real−world and historical data. In early−phase studies, HDTs can support dose selection, safety evaluation, and cohort selection, while in later phases they may contribute to optimized trial designs, synthetic control arms, and adaptive trial methodologies. These applications may reduce patient enrolment time, improve efficiency, and support simulation−driven decision−making. Despite this promise, the application of HDTs remains associated with technical, ethical, regulatory, and data−governance challenges, including data quality, model validity, bias, and uncertainty. Regulatory agencies currently view HDTs as complementary tools within model−informed drug development rather than as replacements for conventional clinical evidence. In conclusion, HDTs have the potential to transform clinical trials by enabling personalized treatments, optimizing trial design, and facilitating predictive analytics, although their applications remain emerging and require further validation, governance frameworks, and regulatory alignment to support widespread adoption.","url":"https://doi.org/10.3389/fonc.2026.1885797","authors":["Maria Garcia Requesens","Arun K. Mankan","Luca Cantini","Marco Calabresi","Laura Vidal","Joan Brown","Steven Lang","Bobby Kaura","Kirill Veselkov","Ioannis Xénarios","Kamal S. Saini"],"tags":["Clinical trial","Drug development","Medicine","Relevance (law)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-24","doi":"https://doi.org/10.3389/fonc.2026.1885797","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7165968076","name":"A Scoping Review of Digital Twins Across Environmental and Territorial Applications","source":"openalex","abstract":"Digital twin (DT) technology has expanded far beyond its industrial origins, increasingly finding application across environmental and territorial domains. This review provides a structured mapping of DT deployments at environmental and territorial scales over the period 2020–2025, examining 117 peer-reviewed publications (109 applied studies and 8 review articles) through a structured 16-parameter classification framework. The review traces three major conceptual shifts in the DT paradigm: from industrial assets to living entities, from discrete systems to Earth-scale representations, and from closed deterministic models to ecological and systemic frameworks, as reflected in the emergence of ecological digital twins (EcoDTs), environmental digital twins (EDTs), and territorial digital twin (TDT) definitions. The results reveal a clear growth trajectory in DT applications across themes, with urban systems as the most consolidated application domain, and progressive diversification into marine, coastal, forestry, river/lake, and Earth system applications from 2022 onward. Institutional actors dominate production in this space, aligned with European flagship initiatives such as Destination Earth (DestinE) and the European Digital Twin of the Ocean (EDITO). The findings position and expand the notion of territorial digital twins as an evolving paradigm, underscoring both the momentum generated by EU digital and environmental policy and the need for integrated tools to answer and respond to key environmental challenges.","url":"https://doi.org/10.3390/digital6030053","authors":["Letizia Artioli","Giovanni Borga","Pietro Costa","Federica D’Acunto","Filippo Iodice"],"tags":["Environmental resource management","Regional science","Diversification (marketing strategy)","Position (finance)","Economic geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-25","doi":"https://doi.org/10.3390/digital6030053","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4405307172","name":"A systematic review of longitudinal risk and protective factors for loneliness in youth","source":"openalex","abstract":"To effectively tackle loneliness in youth, prevention and intervention strategies should be based on solid evidence regarding risk and protective factors in this age group. This systematic literature review identifies and narratively synthesizes longitudinal studies of risk and protective factors for loneliness in children and adolescents aged below 25 years. A systematic literature search was conducted in October 2023 using PsycINFO and MEDLINE, resulting in n = 398 articles, with n = 105 articles meeting the inclusion criteria. The examined factors included demographic (e.g., gender), socioeconomic (e.g., income sufficiency), social (e.g., peer acceptance), mental health (e.g., depression), physical health (e.g., disabilities), health behavior (e.g., sport participation), and psychological factors (e.g., shyness). Additionally, adverse childhood experiences (e.g., child maltreatment) and environmental factors (e.g., neighborhood characteristics) were investigated. Despite the wide range of potential risk and protective factors examined, relatively few studies provided strong evidence for a prospective association with loneliness. Risk factors that were consistently identified across multiple longitudinal studies included low peer acceptance and peer victimization, depression, social anxiety, internalizing symptoms, low self-esteem, shyness, and neuroticism. Additional replication is required to evaluate factors that have shown significant associations with loneliness in only a limited number of longitudinal studies (e.g., aggression).","url":"https://doi.org/10.1111/nyas.15266","authors":["Susanne Buecker","Kimberly Petersen","Anne Neuber","Yixuan Zheng","Daniel Hayes","Pamela Qualter"],"tags":["Loneliness","PsycINFO","Psychology","Neuroticism","Clinical psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-01","doi":"https://doi.org/10.1111/nyas.15266","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4411170282","name":"The twin transition: Driving sustainability through digital transformation in manufacturing","source":"openalex","abstract":"In the context of increasing global competition and rising environmental and social demands, manufacturing companies are under pressure to pursue sustainable growth while maintaining competitiveness. Although the convergence of digitalization and sustainability—known as the \"twin transition\"—has gained significant attention, understanding how digital technologies concretely support sustainability initiatives remains fragmented. This study explores the role of digital transformation in advancing sustainable practices within the manufacturing sector, drawing on empirical evidence from an industrial cluster. The findings reveal that while digital tools offer significant potential for improving resource efficiency, reducing emissions, and supporting sustainable operations, companies face persistent barriers such as stakeholder resistance, high initial costs, limited customer willingness to pay for sustainable products, and fragmented data utilization. Furthermore, organizational challenges, including low digital maturity, cultural resistance, and difficulties in aligning supply chain partners, continue to hinder progress. The study highlights the importance of employee engagement, transparent sustainability reporting, and strategic data management as critical enablers for the successful integration of digitalization and sustainability. By identifying both opportunities and challenges, the paper contributes to a deeper understanding of the systemic changes needed to leverage digital technologies for sustainable manufacturing and outlines avenues for future research across broader industrial contexts.","url":"https://doi.org/10.1016/j.technovation.2026.103582","authors":["Hossein Rahnama","Kerstin Johansen","Anna Öhrwall Rönnbäck"],"tags":["Sustainability","Transition (genetics)","Transformation (genetics)","Digital transformation","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-11","doi":"https://doi.org/10.1016/j.technovation.2026.103582","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7172397088","name":"Towards a Digital Twin infrastructure for landslides: users and data requirements","source":"openalex","abstract":"Abstract. The increasing frequency and magnitude of landslides necessitates a fundamental shift from reactive mitigation to proactive, predictive risk governance. To define the necessary tools for this transition, this study conducts a systematic literature review and operational analysis of current Digital Twin (DT) implementations in the geosciences. Through this review, we identify four primary target user groups (emergency responders, technical experts, public administrators, and citizens) and map their specific 4D data requirements and interaction logics. Our findings highlight that most existing systems function as \"Digital Shadows\" characterised by unidirectional data flows and a topography gap, where dynamic sensor data is superimposed onto static, outdated 3D meshes. Based on these requirements, we propose a theoretical layered architectural framework for a Data Hub designed to bridge these gaps. The conceptual architecture is structured into three interconnected tiers: an Acquisition Layer for multi-scale data ingestion; a Modelling and Processing Layer for AI and physics-based stability assessment; and an Application and Service Layer for translating complex data into actionable intelligence. Finally, this work investigates a possible implementation path for landslides DT projects by outlining technical recommendations. This includes the adoption of cloud-native formats (e.g., Cloud Optimized GeoTIFF, Zarr) and unified interoperability standards (e.g., OGC SensorThings API) to evaluate the feasibility of transitioning towards a true bi-directional cyber-physical system for landslide risk management.","url":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-485-2026","authors":["Federica Gaspari","Marco Gentile","Daniela Carrión","Riccardo Barzaghi","Lorenzo Panzeri","Laura Longoni"],"tags":["Interoperability","Computer science","Bridge (graph theory)","Data access layer","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-04","doi":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-485-2026","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2029582926","name":"Separation control using plasma actuators: application to a free turbulent jet","source":"openalex","abstract":"This experimental work deals with active airflow control using non-thermal surface plasma actuators in the case of a rectangular cross section turbulent jet. A wide-angle diffuser composed of two adjustable hinged baseplates is linked at the jet exit. Two types of actuators are considered: the DC corona discharge and the dielectric barrier discharge (DBD). In both cases, an ionic wind with a velocity of several m s −1 is generated tangentially to the wall surface. Thus, this induced aerodynamic effect is applied in order to create the separation along the lower hinged baseplate. The effects of both actuators on the flow separation are measured by means of particle image velocimetry for velocity up to 30 m s −1 . The main results show that the DBD seems more efficient than the DC corona discharge but the effect decreases with the jet velocity. However, in increasing the discharge frequency up to 1500 Hz, it is possible to separate a 30 m s −1 jet. Finally, by reducing the actuators' length in the spanwise direction, results lead to a visualization of the three-dimensional effects on the separation along the lower hinged baseplate.","url":"https://doi.org/10.1088/0022-3727/40/3/s05","authors":["Alexandre Labergue","Éric Moreau","Noureddine Zouzou","G. Touchard"],"tags":["Plasma actuator","Ion wind","Particle image velocimetry","Mechanics","Dielectric barrier discharge"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2007-01-19","doi":"https://doi.org/10.1088/0022-3727/40/3/s05","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7133363635","name":"Goal-Oriented Access Optimization for ISAC-Enabled Digital Twins","source":"openalex","abstract":"Digital twins (DTs) of physical systems enable real-time remote tracking, control, and learning, but require to be updated with environmental sensory data to maintain alignment with their physical counterparts. In a network context, integrated sensing and communication (ISAC) capabilities can expand the DT's environmental awareness by linking received updates to the location where wireless sensors acquired them. Integrating localization services, however, increases the complexity of the communication system, and can only be supported through smart access optimization. To tackle this problem, we design a two-step goal-oriented approach: firstly, sensors with a high Value of Information (VoI) inform the network of their resource demands through a push-based random access; then, pull-based scheduled transmissions of the actual sensory data are optimized to satisfy ISAC performance constraints. This design allows to maximize the VoI of the information delivered to the DT while locating the transmitting nodes, significantly outperforming existing schemes.","url":"https://openalex.org/W7133363635","authors":["Fabio Saggese","Federico Chiariotti","Shashi Raj Pandey","Henk Wymeersch","Luca Sanguinetti","Petar Popovski"],"tags":["Computer science","Transmission (telecommunications)","Data transmission","Distributed computing","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-02","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7164241299","name":"Balancing decarbonisation and climate resilience through lean and digital twins","source":"openalex","abstract":"The construction sector is a major contributor to global carbon emissions and is also highly vulnerable to the impacts of climate change. Balancing decarbonisation with climate resilience has emerged as an important industrial goal. However, both these objectives are usually addressed independently in current practices and research, with limited attention to integrated strategies. The synergy between Lean methodology and Digital Twin technology has been explored in this study that can help balance decarbonisation and climate resilience in construction projects. A qualitative research design was adopted, including a systematic literature review and semi-structured interviews with five industry experts. The findings suggested that Lean and Digital Twins can complement to balance decarbonisation and climate resilience, but their adoption is influenced by organisational and cultural hurdles, stakeholder influence, and strategic integration for long-term benefit. They also indicated that climate resilience is frequently considered as a secondary objective, underlining the importance of a framework that combines Lean and Digital Twins to successfully balance decarbonisation and climate resilience. The findings of this study facilitated the establishment of a proposed framework that presented Lean and Digital Twins as equal promoters for balancing decarbonisation and climate resilience, rather than focusing solely on efficiency improvements.","url":"https://doi.org/10.24928/2026/0186","authors":["Adnan Muzaffar","V. Paul. C; id_orcid 0000-0002-9868-3350 Charlesraj"],"tags":["Climate change","Psychological resilience","Climate resilience","Business","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.24928/2026/0186","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7140160681","name":"AI-Based Smart Digital Twin For Industrial Predictive Maintenance","source":"openalex","abstract":"Predictive maintenance has become an important application of Artificial Intelligence in modern industries. Traditional maintenance techniques often lead to unexpected machine failures and increased operational costs. This research proposes an AI-based smart digital twin system that monitors machine performance and predicts possible failures before they occur. The digital twin model replicates the physical machine in a virtual environment using sensor data and machine learning algorithms. The system analyzes temperature, vibration, and operational parameters to detect abnormal patterns. Experimental results show that the proposed model can effectively identify potential faults and reduce downtime. This approach improves maintenance efficiency, increases equipment life, and reduces operational costs.","url":"https://doi.org/10.5281/zenodo.19202890","authors":["Ayesha Sayyad","Afrin Sayyad","Pragati Khude","Jyoti Bhuruk"],"tags":["Predictive maintenance","Reliability engineering","Computer science","Engineering","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.19202890","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7172559024","name":"tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins","source":"openalex","abstract":"Transcranial focused ultrasound (tFUS) requires accurate estimation of the intracranial acoustic field, which is distorted by skull-induced aberrations. Numerical solvers are accurate but computationally expensive for digital twins, where the field must be re-estimated repeatedly as treatment conditions change. Existing deep-learning surrogates are fast but typically use voxel-to-voxel regression on a fixed grid, with no mechanism reflecting how acoustic energy propagates through the skull. We instead cast tFUS simulation as an operator learning problem and propose tFUSOperator, a coordinate-aware neural operator that maps the free-field pressure, skull anatomy, and treatment parameters to the intracranial field within a shared physical coordinate frame. To our knowledge, this is the first operator-based formulation of tFUS field prediction. On both seen and unseen skulls, the model localizes the acoustic focus accurately-reaching about 90% and 72% Dice, respectively-and it performs nearly as well from magnetic resonance (MR) as from computed tomography (CT) input while running $5.6 \\times 10^4$ times faster than numerical simulation. These results suggest a fast, radiation-free route to safe and practical digital twins for patient-specific tFUS treatment. The code is available at: https://github.com/CMME-Lab/tFUSOperator.git.","url":"https://openalex.org/W7172559024","authors":["Minjee Seo","Haris Ghafoor","Minju Seol","Seonaeng Cho","Kyungho Yoon"],"tags":["Computer science","Operator (biology)","Artificial intelligence","Computer vision","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7168041746","name":"Digital Twins for Smart Pavement Management in Highway Infrastructure in India","source":"openalex","abstract":"Abstract India's highway sector is experiencing a significant digital transformation driven by rapid infrastructure expansion, increasing freight movement and the need for sustainable asset management.¹ Traditional pavement management practices, based on periodic inspections and fragmented engineering records, are no longer adequate for managing complex highway networks efficiently.² The integration of Digital Twins with Building Information Modelling (BIM), intelligent design platforms, advanced pavement evaluation technologies and asset management systems offers a comprehensive framework for data-driven lifecycle management.³⁻⁵ This article examines the evolution of Digital Twin technology for smart pavement management in India. It discusses the integration of BIM, Bentley OpenRoads Designer, Geographic Information Systems (GIS), Falling Weight Deflectometer (FWD), Ground Penetrating Radar (GPR), LiDAR, Unmanned Aerial Vehicles (UAVs), Internet of Things (IoT) sensors and Artificial Intelligence (AI) to support predictive maintenance and optimise lifecycle performance.⁴⁻⁹ The paper also reviews implementation challenges, institutional collaboration, international best practices and future opportunities for adopting Digital Twin technology within Indian highway infrastructure. The proposed framework demonstrates how digital engineering can improve pavement performance, reduce lifecycle costs and contribute to resilient and sustainable transportation networks¹⁰.","url":"https://doi.org/10.36948/ijfmr.2026.v08i04.83406","authors":["Dil Khush Jha"],"tags":["Asset management","Engineering","Pavement management","Asset (computer security)","Transport engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"https://doi.org/10.36948/ijfmr.2026.v08i04.83406","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7151472604","name":"Sustainable Automation of Monitoring and Production Accounting in Greenhouse Complexes Using Integrated AI, Robotics, and Data Systems","source":"openalex","abstract":"Production greenhouse complexes increasingly require automation and digitalization to address rising labor costs, improve productivity, and support sustainable resource use. However, most existing solutions target isolated tasks and lack a unified framework for continuous monitoring and production-oriented accounting at facility scale. This paper proposes a system-level architecture that integrates robotic monitoring platforms, AI-based perception, and cloud-based data management into a coherent operational framework. The robotic monitoring platforms operate on rails and concrete surfaces and are capable of elevating cameras and sensors up to 5 m to support plant-health assessment, environmental monitoring, and production accounting. Aggregated data are incorporated into a digital twin that supports spatial traceability, historical analysis, and decision support. The proposed approach enables continuous inspection, improves early detection of crop stress, reduces repetitive manual scouting, and supports targeted interventions. The framework provides a scalable foundation for sustainable, data-driven greenhouse management and practical deployment of robotic monitoring systems in industrial production environments.","url":"https://doi.org/10.3390/su18073620","authors":["Alexander Uzhinskiy","Lev N. Teryaev","Artem Dorokhin","Mikhail Ivashev"],"tags":["Automation","Software deployment","Systems engineering","Scalability","Greenhouse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-07","doi":"https://doi.org/10.3390/su18073620","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4391505439","name":"The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks","source":"openalex","abstract":"AI-enabled synthetic biology has tremendous potential but also significantly increases biorisks and brings about a new set of dual use concerns. The picture is complicated given the vast innovations envisioned to emerge by combining emerging technologies, as AI-enabled synthetic biology potentially scales up bioengineering into industrial biomanufacturing. However, the literature review indicates that goals such as maintaining a reasonable scope for innovation, or more ambitiously to foster a huge bioeconomy do not necessarily contrast with biosafety, but need to go hand in hand. This paper presents a literature review of the issues and describes emerging frameworks for policy and practice that transverse the options of command-and-control, stewardship, bottom-up, and laissez-faire governance. How to achieve early warning systems that enable prevention and mitigation of future AI-enabled biohazards from the lab, from deliberate misuse, or from the public realm, will constantly need to evolve, and adaptive, interactive approaches should emerge. Although biorisk is subject to an established governance regime, and scientists generally adhere to biosafety protocols, even experimental, but legitimate use by scientists could lead to unexpected developments. Recent advances in chatbots enabled by generative AI have revived fears that advanced biological insight can more easily get into the hands of malignant individuals or organizations. Given these sets of issues, society needs to rethink how AI-enabled synthetic biology should be governed. The suggested way to visualize the challenge at hand is whack-a-mole governance, although the emerging solutions are perhaps not so different either.","url":"https://doi.org/10.3389/fbioe.2024.1359768","authors":["Trond Arne Undheim"],"tags":["Scope (computer science)","Corporate governance","Biosafety","Emerging technologies","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-28","doi":"https://doi.org/10.3389/fbioe.2024.1359768","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7204164477","name":"Digital Twins and Metaverse for enterprise Information systems and industrial informatics","source":"openalex","abstract":"The integration of digital twins and the metaverse is reshaping enterprise information systems by creating a bridge between physical and digital worlds. The metaverse, facilitated by technologies l...","url":"https://doi.org/10.1080/17517575.2026.2721976","authors":["Brij B. Gupta","Nadia Nedjah","Kwok Tai Chui"],"tags":["Enterprise information system","Knowledge management","Computer science","Information system","Bridge (graph theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.1080/17517575.2026.2721976","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7160030833","name":"Ai-Powered Digital Twin Approach For Personalized Organ Transplantation","source":"openalex","abstract":"The rapid advancement of artificial intelligence (AI) in healthcare has created unprecedented opportunities for improving diagnosis, treatment planning, and clinical decision-making. This paper presents DonorSync — an AI-powered Digital Twin system designed to assist physicians in liver and kidney donor-recipient matching using machine learning and medical image analysis. The proposed system combines Logistic Regression-based clinical parameter analysis (age, bilirubin, albumin, creatinine, urea) with a ResNet-50-driven ultrasound image evaluation module to generate ranked donor compatibility scores and transplant success probabilities in real time. Built on a FastAPI backend with MongoDB data storage and an HTML/CSS/JavaScript frontend, the platform provides secure, scalable, and efficient access to donor matching services. Experimental evaluation confirms that the integrated dual-modality approach substantially reduces donor selection time and enhances prediction reliability compared to conventional manual processes. The system aligns with UN Sustainable Development Goal 3 (Good Health and Well-Being) and Goal 9 (Industry, Innovation and Infrastructure).","url":"https://doi.org/10.5281/zenodo.20023582","authors":["Mrs.W. Asha Princy","Pooja K.P.","Pooja Shree S","Prathisha A","Shahira Banu S"],"tags":["Computer science","Matching (statistics)","Medicine","Machine learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.20023582","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7162247743","name":"Smart Digital Twin: Experimental setup and developed dashboards for real-time production monitoring, machine condition tracking, and LLM-assisted prognostics of a smart retrofitted legacy CNC lathe","source":"openalex","abstract":"The figure presents the experimentally developed AI-enabled human-centric digital twin system implemented on a smart retrofitted legacy CNC lathe. The figure illustrates both the physical and digital components developed for real-time production monitoring, machine condition tracking, and LLM-assisted prognostics. The physical layer includes the CNC lathe, industrial predictive maintenance sensors, RFID-based operator interaction system, IoT gateway, edge computing infrastructure, and associated sensing architecture for vibration, temperature, and machine activity acquisition. The digital layer demonstrates the developed Grafana dashboards used for live production monitoring, machine condition visualization, tool wear state estimation, and conversational AI-assisted assessment. The figure was developed as part of the research work titled “AI-Enabled Human-Centric Digital Twin Framework for Real-Time Performance Monitoring and Prognostics of Legacy Machines.” The presented implementation demonstrates the integration of IoT, AI, edge-cloud computing, and large language model-assisted analytics for smart retrofitting of legacy manufacturing systems toward Industry 4.0 and Industry 5.0 applications. Author: Deep Patel, Chayan Maiti, and Sreekumar MuthuswamyAffiliation: Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, India. © Deep Patel, 2026. All rights reserved.","url":"https://doi.org/10.6084/m9.figshare.32393037.v3","authors":["Deep Patel","Chayan Maiti","Sreekumar Muthuswamy"],"tags":["Prognostics","Machine tool","Engineering","Manufacturing engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-24","doi":"https://doi.org/10.6084/m9.figshare.32393037.v3","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7166835388","name":"Digital Twin Vision for Rail Health Monitoring for Freight Railroads","source":"openalex","abstract":"This paper presents a vision and case study for a framework to implement the digital twin (DT) concept to support rail health monitoring and management in North American freight railroads. The DT system includes a DT of physical rail, rail maintenance and inspection data, digitalization processes for recording pertinent information, and software and analytics tools. The case study uses the 2.8 mi (4.5 km) Facility for Accelerated Service Testing (FAST®) track to assess the DT’s ability to meet rail owners’ requirements and provide necessary contextual information. At FAST, data streams generated by operations, maintenance, wayside and onboard detector technologies, and individual testing are employed to better understand the effects of heavy axle loads on track components at various stages of wear. The case study also demonstrates that actively managing rail health requires a methodological approach to collecting and managing data for predictive, preventive, and corrective maintenance strategies informed by rail metallurgy, operational factors, environmental factors, and rigorous maintenance techniques. Although the case study considers only FAST rail infrastructure, the DT system’s scalability indicates its potential for larger implementations both within and beyond FAST.","url":"https://doi.org/10.32548/2026.me-04582","authors":["Silvia Galván-Núñez","Anish Poudel","Ananyo Banerjee","Chris Johnson"],"tags":["Track (disk drive)","Engineering","Scalability","Axle","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.32548/2026.me-04582","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166396434","name":"Digital Twin Aggregates for adaptive MLOps retraining policies in healthcare","source":"openalex","abstract":"Digital Twins (DTs) are increasingly adopted as a technical solution for the digital representation of complex physical entities through models that process near-real-time data streams and provide feedback on the state and behavior of the Physical Twin (PT). When DT models are trained using Machine Learning (ML) techniques, their performance may degrade over time as the DT acquires new operational data that may differ from the data observed during initial training. In this paper, following Machine Learning Operations (MLOps) principles, we investigate how Digital Twin Aggregates (DTAs) can be integrated into DT-based systems to enable continuous monitoring of model performance and to support adaptive retraining strategies for the continuous delivery and maintenance of ML models ensuring that the DT remains a reliable representation of the PT throughout its lifecycle. We evaluate the approach in a healthcare case study involving DTs for diabetic patients and compare adaptive with periodic retraining showing that performance-based retraining mantains stable accuracy while reducing model updates. These results suggest that DTA-level monitoring enables more efficient adaptive MLOps lifecycles by triggering retraining in response to actual performance degradation rather than fixed schedules.","url":"https://doi.org/10.1016/j.future.2026.108674","authors":["Davide Domini","Leonardo Micelli","Samuele Burattini","Sara Montagna"],"tags":["Retraining","Computer science","Health care","Digital health","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-27","doi":"https://doi.org/10.1016/j.future.2026.108674","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7172434932","name":"AI-Enabled Digital Twins and Optimization Workflows for Accelerator Control","source":"openalex","abstract":"We propose to develop advanced ML models, such as physics informed neural network (PINN) based surrogate models, to accurately represent accelerator phase space transport. These surrogate models will enable precise diagnosis and prediction of beam phase space evolution along the beamline, facilitating real-time control and optimization. The developed models will be tested using the Upgraded Injector Test Facility (UITF) at Thomas Jefferson National Accelerator Facility (JLab), providing a pathway toward ML-driven enhanced diagnostics and beamline control in operational accelerator environments. The primary aim will be to facilitate this by developing machine learning models that outperform traditional simulations in speed and precision. We will build a virtual beamline, train a reinforcement learning (RL) controller across varied calibration scenarios, and then transfer it to the real machine. Beyond operation, fast and accurate models are also essential for design optimization workflows using machine learning methods that iterate through design parameters. A long-term goal of this work will be to establish such workflows and apply them to the design of a compact accelerator at Old Dominion University (ODU).","url":"https://doi.org/10.18429/jacow-ipac2026-mop6335","authors":["M. Yadav","A. Seryi","B. Terzic","J. Bird","J. Delayen","K. Makino","K. Ahmed","L. van Riesen-Haupt","Q. Su","S. De Silva","S. Hossain","T. Griffin","T. Satogata"],"tags":["Workflow","Computer science","Controller (irrigation)","Control engineering","Calibration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.18429/jacow-ipac2026-mop6335","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4365460176","name":"Understanding farmers’ engagement and barriers to machine learning‐based intelligent agricultural decision support systems","source":"openalex","abstract":"Abstract The use of intelligent decision support systems (DSS) in precision farming provides an opportunity to improve agricultural recommendations and reduce the impacts of agriculture on the environment. Despite the benefits offered by DDS, many farmers remain skeptical of using these hardware and software tools, and their adoption rates have remained low. A survey of 312 South Dakota farmers examined the barriers and opportunities for their engagement with DSS. Exploratory factor analysis was used to analyze 13 Likert scale survey items that probed farmers’ concerns about DSS. Factor loadings indicated that farmers’ concerns are related to high cost, insufficient knowledge, lack of confidence, and cyber security and privacy. A latent profile analysis (LPA) method was used to classify respondents into profiles or groups based on their dimensions of concerns (cost, knowledge, confidence, and security). Results of the LPA revealed that the sample of farmers could be grouped into four distinct profiles that ranged from low to high confidence in the use of DSS for agronomic decision‐making. Giving attention to farmer comfort/concern profiles allows for a more inclusive and better targeted engagement with farmers and potentially increase the adoption of PA. This knowledge can be vital for technology developers, policymakers, and extension services who are keen to promote PA usage among large‐, medium‐, and small‐scale farmers in the United States.","url":"https://doi.org/10.1002/agj2.21358","authors":["Damilola Tobiloba Adereti","Maaz Gardezi","Tong Wang","John McMaine"],"tags":["Likert scale","Agriculture","Exploratory factor analysis","Scale (ratio)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-13","doi":"https://doi.org/10.1002/agj2.21358","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W3013280206","name":"Heritability and correlations among learning and inhibitory control traits","source":"openalex","abstract":"Abstract To understand the evolution of cognitive abilities, we need to understand both how selection acts upon them and their genetic (co)variance structure. Recent work suggests that there are fitness consequences for free-living individuals with particular cognitive abilities. However, our current understanding of the heritability of these abilities is restricted to domesticated species subjected to artificial selection. We investigated genetic variance for, and genetic correlations among four cognitive abilities: inhibitory control, visual and spatial discrimination, and spatial ability, measured on >450 pheasants, Phasianus colchicus, over four generations. Pheasants were reared in captivity but bred from adults that lived in the wild and hence, were subject to selection on survival. Pheasant chicks are precocial and were reared without parents, enabling us to standardize environmental and parental care effects. We constructed a pedigree based on 15 microsatellite loci and implemented animal models to estimate heritability. We found moderate heritabilities for discrimination learning and inhibitory control (h2 = 0.17–0.23) but heritability for spatial ability was low (h2 = 0.09). Genetic correlations among-traits were largely positive but characterized by high uncertainty and were not statistically significant. Principle component analysis of the genetic correlation matrix estimate revealed a leading component that explained 69% of the variation, broadly in line with expectations under a general intelligence model of cognition. However, this pattern was not apparent in the phenotypic correlation structure which was more consistent with a modular view of animal cognition. Our findings highlight that the expression of cognitive traits is influenced by environmental factors which masks the underlying genetic structure.","url":"https://doi.org/10.1093/beheco/araa029","authors":["Ellis Langley","Gracie Adams","Christine E. Beardsworth","Deborah A. Dawson","Philippa R. Laker","Jayden O. van Horik","Mark A. Whiteside","Alastair J. Wilson","Joah R. Madden"],"tags":["Heritability","Biology","Genetic correlation","Cognition","Selection (genetic algorithm)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-13","doi":"https://doi.org/10.1093/beheco/araa029","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7133365466","name":"Digital Twin-Based Cooling System Optimization for Data Center","source":"openalex","abstract":"Data center cooling systems consume significant auxiliary energy, yet optimization studies rarely quantify the gap between theoretically optimal and operationally deployable control strategies. This paper develops a digital twin of the liquid cooling infrastructure at the Frontier exascale supercomputer, in which a hot-temperature water system comprises three parallel subloops, each serving dedicated coolant distribution unit clusters through plate heat exchangers and variable-speed pumps. The surrogate model is built based on Modelica and validated through one full calendar year of 10-minute operational data following ASHRAE Guideline 14. The model achieves a subloop coefficient of variation of the root mean square error below 2.7% and a normalized mean bias error within 2.5%. Using this validated surrogate model, a layered optimization framework evaluates three progressively constrained strategies: an analytical flow-only optimization achieves 20.4% total energy saving, unconstrained joint optimization of flow rate and supply temperature demonstrates 30.1% total energy saving, and ramp-constrained optimization of flow rate and supply temperature, enforcing actuator rate limits, can reach total energy saving of 27.8%. The analysis reveals that the baseline system operates at 2.9 times the minimum thermally safe flow rate, and the co-optimizing supply temperature with flow rate nearly doubles the savings achievable by flow reduction alone.","url":"https://openalex.org/W7133365466","authors":["Shrenik Jadhav","Zheng Liu"],"tags":["Water cooling","Data center","ASHRAE 90.1","Heat exchanger","Coolant"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4413411949","name":"Open forum: dressing the technological body: fashioning robots, avatars, and hybrid selves towards a meta-future","source":"openalex","abstract":"Abstract This article explores the interplay between adornment, fashion and digital embodiment within the emergent socio-material landscape of humanoid robotics and avatar creativity in the context of the digital human twin, (DHT). It examines how the act of dressing this technological body-whether physical, virtual, or hybrid in form, becomes a site of cultural meaning, aesthetic expression and a tool to prompt new creative and empathic futures for DHT. It seeks to explore liminal environments into and out of the DHT, wrangling with terms to describe this emergent landscape to highlight the incomplete definition of DTH. Defining the edges of this as a future practice allows consideration of what may be dialled up or dialled down in DHT development and how cultural knowledge, time and creativity expressed through fashion and adornment, can be performed to prototype ongoing development. This process will have influence on alternative modes of production, warranting an authentic and human pipeline to consider DHT futures.","url":"https://doi.org/10.1007/s00146-025-02513-5","authors":["L. C. A. Craig"],"tags":["Performing arts","Robot","Aesthetics","Human–computer interaction","Visual arts"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.1007/s00146-025-02513-5","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7164922912","name":"Data distribution performance for Digital Twin Synchronization: an experimental evaluation","source":"openalex","abstract":"Digital Twin Synchronization (DTS) demands robust data distribution to handle heterogeneous flows, yet existing evaluations often overlook large messages and degraded networks. This work experimentally evaluates five middleware protocols, MQTT, AMQP, Kafka, DDS, and Zenoh, within a data-centric DTS architecture. We assess performance metrics such as latency and stability under varying message sizes (up to 2 MiB) and controlled network degradation. Our results highlight trade-offs between broker-based and brokerless architectures, identifying the most suitable solutions for the rigorous synchronization demands of Industry 4.0.","url":"https://doi.org/10.5753/wgrs.2026.23232","authors":["Eduardo Freitas","Assis T. de Oliveira Filho","Pedro R. X. do Carmo","Marrone Dantas","Judith Kelner","Djamel Sadok"],"tags":["Computer science","Synchronization (alternating current)","Data mining","Latency (audio)","Stability (learning theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-25","doi":"https://doi.org/10.5753/wgrs.2026.23232","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2041797753","name":"Microvascular retinopathy in subjects without diabetes: the Inter99 Eye Study","source":"openalex","abstract":"PURPOSE: Retinal vascular lesions such as microaneurysms and haemorrhages, while typical of diabetic retinopathy, are also seen in subjects without diabetes where they are associated with elevated cardiovascular mortality. In theory, these lesions could be a consequence of past hyperglycaemia. We examined the prevalence and risk factors for retinopathy, including lens fluorescence, a biomarker of cumulative life-time glycaemia in adults without diabetes. METHODS: Cross-sectional population-based study of 711 subjects without diabetes (WHO 1999 criteria) aged 30-60 years, including oral glucose tolerance testing, clinical and laboratory examinations, non-invasive ocular lens fluorometry and seven-field fundus photography. RESULTS: Retinopathy was present in 8.3% (CI(95) 6.3-10.3%) of subjects. Higher systolic blood pressure (SBP) (p = 0.032), increasing body mass index (BMI) (p = 0.014) and wider waist circumference (p = 0.014) were significantly associated with retinopathy after adjusting for age and sex. Retinopathy was not significantly related to long-term, short-term or current glycaemia (lens fluorescence, HbA(1c) , fasting plasma glucose). In the multivariate analysis, the odds ratio (OR) for retinopathy in subjects with SBP ≥160 mmHg compared to subjects with SBP <130 mmHg was 2.68 (CI(95) 1.07-6.70, p = 0.036) and in subjects with BMI ≥30 compared to subjects with BMI < 25 the OR for retinopathy was 2.14 (CI(95) 1.01-4.57, p = 0.049) when adjusting for both variables, age, sex, the presence of impaired glucose tolerance and impaired fasting glucose. CONCLUSION: Retinopathy in subjects without diabetes was associated with hypertension and obesity. The study found no evidence that microvascular retinopathy in non-diabetic subjects was a consequence of past hyperglycaemia.","url":"https://doi.org/10.1111/j.1755-3768.2011.2148.x","authors":["Inger Christine Munch","Line Kessel","Knut Borch‐Johnsen","Charlotte Glümer","Henrik Lund‐Andersen","Michael Larsen"],"tags":["Diabetic retinopathy","Medicine","Ophthalmology","Diabetes mellitus","Retinopathy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2011-04-06","doi":"https://doi.org/10.1111/j.1755-3768.2011.2148.x","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W2839321096","name":"History of disruptions in laboratory medicine: what have we learned from predictions?","source":"openalex","abstract":"Predictions about the future of laboratory medicine have had a mixed success, and in some instances they have been overambitious and incorrectly assessed the future impact of emerging technologies. Current predictions suggest a more highly automated and connected future for diagnostic testing. The central laboratory of the future may be dominated by more robotics and more connectivity in order to take advantage of the benefits of the Internet of Things and artificial intelligence (AI)-based systems (e.g. decision support software and imaging analytics). For point-of-care testing, mobile health (mHealth) may be in the ascendancy driven by healthcare initiatives from technology companies such as Amazon, Apple, Facebook, Google, IBM, Microsoft and Uber.","url":"https://doi.org/10.1515/cclm-2018-0518","authors":["Larry J. Kricka"],"tags":["mHealth","IBM","Computer science","Data science","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-06-21","doi":"https://doi.org/10.1515/cclm-2018-0518","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W4399938304","name":"Towards a public policy of cities and human settlements in the 21st century","source":"openalex","abstract":"Abstract Cities and other human settlements are major contributors to climate change and are highly vulnerable to its impacts. They are also uniquely positioned to reduce greenhouse gas emissions and lead adaptation efforts. These compound challenges and opportunities require a comprehensive perspective on the public policy of human settlements. Drawing on core literature that has driven debate around cities and climate over recent decades, we put forward a set of boundary objects that can be applied to connect the knowledge of epistemic communities and support an integrated urbanism. We then use these boundary objects to develop the Goals-Intervention-Stakeholder-Enablers (GISE) framework for a public policy of human settlements that is both place-specific and provides insights and tools useful for climate action in cities and other human settlements worldwide. Using examples from Berlin, we apply this framework to show that climate mitigation and adaptation, public health, and well-being goals are closely linked and mutually supportive when a comprehensive approach to urban public policy is applied.","url":"https://doi.org/10.1038/s42949-024-00168-7","authors":["Felix Creutzig","Sophia Becker","Peter Berrill","Constanze Bongs","Alexandra Bussler","Ben Cave","Sara M. Constantino","Marcus Grant","Niko Heeren","Eva Heinen","Marie Josefine Hintz","Timothee Ingen-Housz","Eric J. Johnson","Nina Kolleck","Charlotte Liotta","Sylvia Lorek","Giulio Mattioli","Leila Niamir","Timon McPhearson","Nikola Milojevic-Dupont","Florian Nachtigall","Kai Nagel","Henriette Närger","Minal Pathak","Paola Perrin de Brichambaut","Diana Reckien","Lucia A. Reisch","Aromar Revi","Fabian Schuppert","Andrew Sudmant","Felix Wagner","Janina Walkenhorst","Elke U. Weber","Michael Wilmes","Charlie Wilson","Aicha Zekar"],"tags":["Human settlement","Public policy","Political science","Regional science","Economic geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-24","doi":"https://doi.org/10.1038/s42949-024-00168-7","addedAt":"2026-09-01T01:47:41.530Z","updatedAt":"2026-09-01T01:47:41.530Z"},{"id":"oa:W7204466842","name":"A metrological digital twin of nanoindentation for out-of-control measurements identification","source":"openalex","abstract":"Nanoindentation enables the high-resolution characterization of mechanical properties and the study of advanced materials. However, in the measurement practice, several influence factors affect nanoindentation, introducing bias or increasing measurement uncertainty. Some influence factors are internally sourced (force–displacement noise), others are induced by the environment (electro-mechanical vibrations, indenter-sample thermal equilibrium), and some depend on interactions with the measurand (sample surface integrity, indenter tip wear). Digital twins are simulation models that replicate physical systems in a virtual environment, dynamically updating the virtual model to match the observed state of its real counterpart, enabling physical control of the latter. Digital twins allow predicting system response and highlighting anomalies, while identifying critical influence factors causing such out-of-control conditions, and deploying control actions to avoid malfunctions through predictive maintenance, while avoiding wasting resources. However, to ensure appropriate equipment monitoring and decision-making, traceable digital twins that consider measurement uncertainty are needed. While discussing the advantages of alternative modelling pathways, the work demonstrates the creation of a traceable digital twin for nanoindentation on reference materials based on physics-based data-driven approach. Validation strategies for synthetic and real datasets are implemented, and the capability to detect the most common measurement errors in nanoindentation is highlighted. Strategies to eliminate or compensate for sources of identified measurement errors by the digital twin are discussed, outlining a route towards traceable digitization in nanoindentation.","url":"https://doi.org/10.1016/j.measurement.2026.122991","authors":["Giacomo Maculotti","Lorenzo Giorio","Gianfranco Genta","Rachele Bertolini","Enrico Savio","Maurizio Galetto"],"tags":["Metrology","Nanoindentation","Identification (biology)","Materials science","Acoustics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.1016/j.measurement.2026.122991","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7168534971","name":"The role of digital twin technology in nursing practice, education, and research","source":"openalex","abstract":"Background Digital twin technology, a virtual real-time representation of a physical entity, is gaining traction in healthcare, yet its potential in nursing practice remains underexplored. Objective This review examines current and potential applications of digital twins in nursing, including benefits, challenges, and integration pathways. Method An integrative review synthesised empirical and theoretical literature from PubMed, CINAHL, Scopus, IEEE Xplore, and Web of Science (2015 to 2025), alongside grey literature, with data extracted and analysed thematically. Results Digital twins show potential across patient monitoring, workflow optimisation, education, patient safety, and research, though challenges persist around data interoperability, privacy, consent, and workforce readiness. Conclusion Digital twins offer transformative opportunities for nursing, requiring interdisciplinary collaboration, curriculum integration, and robust regulatory frameworks.","url":"https://doi.org/10.1016/j.ecns.2026.102028","authors":["Aanuoluwapo Clement David-Olawade","Sandra Chinaza Fidelis","Mayowa Racheal Popoola","Adewoyin Osonuga","Eghosasere Egbon","David B. Olawade"],"tags":["Workflow","Workforce","Transformative learning","Curriculum","Nursing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-16","doi":"https://doi.org/10.1016/j.ecns.2026.102028","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4381664647","name":"The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges","source":"openalex","abstract":"The concept of the Metaverse has been around for decades and refers to a virtual world where users can interact with each other and digital objects in a three-dimensional space. This idea has been popularized in science fiction novels, movies, and video games, but in recent years, it has become increasingly relevant as technology has advanced. Meta (formerly known as Facebook) announced its rebranding in October 2021, and one of the main reasons for this was to signal its focus on the development of the Metaverse. Meta has stated that it believes the Metaverse could be the next big thing in computing, and it plans to invest heavily in the development of this technology. The Metaverse has the potential to change the way people live, work, and interact with each other. It could enable us to attend virtual events, work remotely in a virtual office, and shop in virtual stores. While the concept is still in its early stages, Meta's investment in the development of the Metaverse is a significant step forward in the realization of this vision. With companies like Meta investing heavily in the development of the Metaverse, one can expect that the technological future will shape the way people live, work, and entertain themselves in urban society. The fourth industrial revolution, which has been characterized by the integration of technologies such as Virtual Reality (VR), Artificial Intelligence (AI), Internet of Things (IoT), and big data, has been driving these changes. The COVID-19 pandemic has accelerated the adoption of digital technologies, with remote work and online shopping becoming the norm for many people. This trend was already happening in cities due to the pursuit of the smart city agenda, which aims to use technology to improve urban services and enhance the quality of life for residents. As people move towards a more technologically advanced future, it is crucial to consider the potential social, economic, and environmental impacts of these changes. While these technologies offer many benefits, such as increased efficiency and convenience, they also raise concerns about privacy, security, and job displacement. It is essential that policymakers, businesses, and communities work together to ensure that the benefits of technological advancements are shared equitably and a sustainable and inclusive future for all can be built.","url":"https://doi.org/10.5120/ijca2023922892","authors":["S. S. Thakur","Soma Bandyopadhyay","Debabrata Datta"],"tags":["Metaverse","Computer science","Human–computer interaction","Data science","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-20","doi":"https://doi.org/10.5120/ijca2023922892","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7160574243","name":"Towards Sound-Integrated Digital Twin for Hazard Detection and Response","source":"openalex","abstract":"Auditory feedback is commonly used in virtual reality (VR) to support user performance, particularly when visual attention is highly engaged. However, most VR applications rely on event-based or spatially triggered sounds, leaving limited understanding of how eye fixations can trigger auditory feedback. This study investigates the effects of eye fixation triggered sounds on task performance in a VR categorization task. Participants classified virtual objects while auditory feedback was triggered by eye fixations. Task performance was evaluated using task completion time as well as eye fixation duration and haptic interaction time. Results showed that eye fixation triggered auditory feedback significantly reduced task completion time, eye fixation duration, and haptic interaction time compared to the no-audio condition. These findings demonstrate that eye fixation triggered sound can serve as an effective mechanism for supporting performance in visually demanding VR tasks and highlights its potential for future training and hazard-related applications.","url":"https://openalex.org/W7160574243","authors":["Alayna Mendoza"],"tags":["Fixation (population genetics)","Computer science","Haptic technology","Task (project management)","Auditory feedback"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7119509082","name":"Digital Twin Modeling for Landslide Risk Scenarios in Mountainous Regions","source":"openalex","abstract":"Background: Rainfall-induced landslides are a widespread and destructive geological hazard that resist precise prediction. They pose serious threats to human lives and property, ecological stability, and socioeconomic development. Methods: To address the challenges in mitigating rainfall-induced landslides in high-altitude mountainous regions, this study proposes a digital twin framework that couples multiple physical fields and is based on the spherical discrete element method. Results: Two-dimensional simulations identify a trapezoidal stress distribution with inward-increasing stress. The stress increases uniformly from 0 kPa at the surface to 210 kPa in the interior. The crest stress remains constant at 1.8 kPa under gravity, whereas the toe stress rises from 6.5 to 14.8 kPa with the slope gradient. While the stress pattern persists post-failure, specific magnitudes alter significantly. This study pioneers a three-dimensional close-packed spherical discrete element method, achieving enhanced computational efficiency and stability through streamlined contact mechanics. Conclusions: The proposed framework utilizes point-contact mechanics to simplify friction modeling, enhancing computational efficiency and numerical stability. By integrating stress, rainfall, and seepage fields, we establish a coupled hydro-mechanical model that enables real-time digital twin mapping of landslide evolution through dynamic parameter adjustments.","url":"https://doi.org/10.3390/s26020421","authors":["Lai Li","Bo‐Hui Tang","Fangliang Cai","Lei Wei","Xinming Zhu","Dong Fan"],"tags":["Landslide","Geology","Stress (linguistics)","Hazard","Geotechnical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.3390/s26020421","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7172260438","name":"Predicting Alzheimer progression using EEG-based digital twins","source":"openalex","abstract":"Early and accurate prognosis of Alzheimer’s disease (AD) remains limited by current biomarkers, which are often invasive, require expensive equipment, or fail to predict individual trajectories of cognitive decline. In this study, we evaluated the Digital Alzheimer’s Disease Diagnosis (DADD) model, a digital twin framework that extracts neurodegeneration-related digital biomarkers from non-invasive recordings such as electroencephalography (EEG), mapping early functional neural alterations to latent parameters linked to structural AD mechanisms. DADD was applied to a cohort of 459 participants with Subjective Cognitive Decline (SCD) or Mild Cognitive Impairment (MCI), evaluating its performance against established AD biomarkers like APOE genotype, magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) markers in predicting prognostic outcomes over a 10-year follow-up. Digital biomarkers demonstrated strong prognostic value, predicting participants who converted at follow-up, significantly outperforming standard EEG metrics. They also robustly forecast both risk and timing of clinical conversion, matching the performance of established AD biomarkers and even outperforming them in SCD participants. Moreover, combining established AD biomarkers with digital biomarkers led to a significant increase in prognostic accuracy. DADD represents a robust clinical tool, enabling scalable, affordable, non-invasive AD detection and prognostic stratification across diverse clinical settings.","url":"https://doi.org/10.1038/s41746-026-02997-5","authors":["Lorenzo Gaetano Amato","Elliz Scheijbeler","Anne van Nifterick","Michael Lassi","Willem de Haan","Alida Gouw","Alberto Mazzoni"],"tags":["Medicine","Computer science","Disease","Internal medicine","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.1038/s41746-026-02997-5","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7148920120","name":"Abstract 4153: Advancing precision oncology through tumor digital twins: A versatile ViT-determined margin-consistent model for lung adenocarcinoma histopathologic subtyping in hematoxylin-eosin images","source":"openalex","abstract":"Abstract Background: Digital twin frameworks in oncology require a stable, patient-specific histologic representation of tumor architecture. However, current LUAD subtyping models are vulnerable to stain and scanner variability, domain shift, and poor probability calibration. We investigate whether a state-space/Transformer hybrid with attention and margin-aware training can generate a robust, calibrated “morphology twin” suitable for integration into future tumor digital-twin systems. Methods: A uniform patch-aggregation WSI pipeline was implemented with identical tiling, Macenko normalization, augmentations, and optimization across all backbones. From 143 FFPE H&E WSIs in BMIRDS-LUAD, we extracted 203,226 tissue patches (224×224 at 20×). Patches were encoded using ResNet50/101, ViT-L, or a state-space/Transformer hybrid (MambaVision). Slide-level predictions were produced via gated-attention MIL and a linear classifier whose logit gaps define decision margins. Training employed cross-entropy combined with a supervised representation term, without handcrafted harmonization or test-time adaptation. Internal development used a WSI-stratified split across five LUAD growth patterns. Zero-shot external evaluation used WSSS4LUAD. Endpoints included accuracy, subtype-specific AUC, feature-margin concordance, internal-to-external performance drop, calibration (ECE/Brier), and run-to-run variability across 10 seeds. Results: On BMIRDS-LUAD, MambaVision+attention achieved 96.40±3.32% accuracy with ROC-AUC ≥0.99 across all subtypes and strong feature-margin alignment (τ=0.88 train / 0.64 validation). Errors were largely confined to mixed-pattern or low-quality slides. Zero-shot transfer to WSSS4LUAD yielded 83.69±7.76% accuracy—the smallest performance drop (−12.71 points) among all backbones. Calibration improved in-site and out-of-site (ECE/Brier: 0.043/0.098 internal; 0.087/0.154 external), with statistically significant gains over ResNet and ViT baselines. Variability across seeds narrowed (3.32% vs 6.12% for ResNet50), indicating enhanced training stability. Conclusions: This framework addresses key LUAD subtyping failure modes—cross-site instability, overconfident boundary errors, and limited reproducibility. By integrating state-space modeling, Transformer attention, and margin-consistent learning, it produces a calibrated morphology twin that preserves subtype discriminability under domain shift and provides more trustworthy WSI-derived probabilities. While not a complete cancer digital twin, it forms a robust histologic module for integration into next-generation multimodal and temporal LUAD digital-twin systems. Citation Format: Meghdad Sabouri Rad, Mohammad Mehdi Hosseini, Muhammad Hassaan Khalid, Saverio J. Carello, Michel R. Nasr, Rossana Kazemimood, Ola El-Zammar, Bardia Rodd. Advancing precision oncology through tumor digital twins: A versatile ViT-determined margin-consistent model for lung adenocarcinoma histopathologic subtyping in hematoxylin-eosin images [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4153.","url":"https://doi.org/10.1158/1538-7445.am2026-4153","authors":["Meghdad Sabouri Rad","Mohammad Mehdi Hosseini","Muhammad Hassaan Khalid","Saverio J. Carello","Michel R. Nasr","Rossana Kazemimood","OLA EL-ZAMMAR","Bardia Rodd"],"tags":["Subtyping","Computer science","Calibration","Medicine","Pipeline (software)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-03","doi":"https://doi.org/10.1158/1538-7445.am2026-4153","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4321350009","name":"Multi‐Stimuli Dually‐Responsive Intelligent Woven Structures with Local Programmability for Biomimetic Applications","source":"openalex","abstract":"This work focuses on multi-stimuli-responsive materials with distinctive abilities, that is, color-changing and shape-memory. Using metallic composite yarns and polymeric/thermochromic microcapsule composite fibers, processed via a melt-spinning technique, an electrothermally multi-responsive fabric is woven. The resulting smart-fabric transfers from a predefined structure to an original shape while changing color upon heating or applying an electric field, making it appealing for advanced applications. The shape-memory and color-changing features of the fabric can be controlled by rationally controlling the micro-scale design of the individual fibers in the structure. Thus, the fibers' microstructural features are optimized to achieve excellent color-changing behavior along with shape fixity and recovery ratios of 99.95% and 79.2%, respectively. More importantly, the fabric's dual-response by electric field can be achieved by a low voltage of 5 V, which is smaller than the previously reported values. Above and beyond, the fabric is able to be meticulously activated by selectively applying a controlled voltage to any part of the fabric. The precise local responsiveness can be bestowed upon the fabric by readily controlling its macro-scale design. A biomimetic dragonfly with the shape-memory and color-changing dual-response ability is successfully fabricated, broadening the design and fabrication horizon of groundbreaking smart materials with multiple functions.","url":"https://doi.org/10.1002/smll.202207900","authors":["Runxin Xu","Guanzheng Wu","Mengmeng Jiang","Shaojie Cao","Mahyar Panahi‐Sarmad","Milad Kamkar","Xueliang Xiao"],"tags":["Materials science","Spinning","Shape-memory alloy","Composite number","Smart material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-19","doi":"https://doi.org/10.1002/smll.202207900","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7140221496","name":"A Solution for Heritage Monitoring Based on Wireless Low-Cost Sensors and BIM: Application to the Monserrate Palace","source":"openalex","abstract":"Conservation and management of built cultural heritage require multidisciplinary approaches and reliable information to support decision-making. In this context, digital transformation strategies that combine Building Information Modeling (BIM) with monitoring technologies offer significant potential to improve heritage management. This paper presents a monitoring solution based on a wireless network of low-cost Internet of Things (IoT) sensors integrated within a Heritage Building Information Model (HBIM), applied to Monserrate Palace in Sintra, Portugal. The proposed approach covers all implementation stages, including HBIM development from as-built data collection, deployment of a wireless monitoring network for acceleration and environmental parameters, and integration of monitoring data into a BIM-based platform. The system aims to create a Digital Shadow of the building as a step towards a Digital Twin framework, enabling centralized visualization and management of structural and environmental information through the HBIM model and dedicated dashboards. Given the lower accuracy of low-cost sensors, in situ calibration with reference equipment was conducted to validate the recorded data. Implementing monitoring systems in heritage contexts presents challenges, such as limited historical documentation and the need for minimally invasive interventions. Despite these constraints, the proposed solution demonstrates the advantages of integrating monitoring data within HBIM, enabling centralized data management and improved understanding of building performance and conservation needs.","url":"https://doi.org/10.3390/s26072015","authors":["Rita Machete","Fábio M. Dias","Diogo M. Caetano","Ana Paula Falcão","M. Glória Gomes","Rita Bento"],"tags":["Software deployment","Cultural heritage","Systems engineering","Wireless sensor network","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-24","doi":"https://doi.org/10.3390/s26072015","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7140083543","name":"Integrated Management of the Urban Water Cycle: A Synthesis of Impacts and Solutions from Source to Tap","source":"openalex","abstract":"Urbanization fundamentally fractures the natural water cycle, leading to a cascade of interconnected problems including increased flood risk, degraded water quality, stressed groundwater resources, and inefficient distribution networks. Traditional, fragmented management approaches that address these issues in isolation have proven inadequate. This research argues for a paradigm shift towards an Integrated Urban Water Management (IUWM) framework anchored in the concept of the “river-aquifer-pipe network continuum”, treating these components as a single, dynamic hydrological and infrastructural entity. Drawing upon a series of detailed case studies from Eastern Romania, this paper synthesizes the systemic impacts of development across the entire urban water system. Evidence from the Prut, Olt, and Bahlui river basins demonstrate how channelization exacerbates flood peaks and leads to severe biochemical degradation. Hydrogeological modeling of the Gherăești-Bacău wellfield reveals the vulnerabilities of over-extraction, while analysis of the Iași water network highlights the challenge of water losses in the aging infrastructure. In response, a modern, multi-tool approach is consolidated into a practical, three-stage framework for action: Diagnose, Prescribe, and Optimize. This framework advocates for (1) a comprehensive diagnosis using a suite of predictive numerical models (a “digital twin”); (2) the prescription of foundational, nature-based solutions, such as floodplain restoration, to heal core ecological functions; and (3) the continuous optimization of engineered infrastructure using smart, real-time control technologies. The synthesis concludes that an integrated, data-driven, and collaborative approach is the only sustainable path forward. Future research should focus on formally coupling these diagnostic models to create true Digital Twins of urban water systems—an essential step towards building resilient, water-secure cities for the 21st century.","url":"https://doi.org/10.3390/urbansci10030175","authors":["Nicolae Marcoie","Elena Iliesi","Andras-István Barta","Irina Rabosapca","D. Toma","Valentin Boboc","Cătălin-Dumitrel Balan","Bogdan-Marian Tofanica"],"tags":["Environmental planning","Environmental science","Integrated water resources management","Suite","Flood control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-23","doi":"https://doi.org/10.3390/urbansci10030175","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4415970620","name":"APPLICATION OF A DIGITAL TWIN FOR OPTIMIZING THE PERFORMANCE OF AN SLM 3D PRINTER","source":"openalex","abstract":"This paper presents the development and experimental validation of a digital twin for a selective laser melting (SLM) system designed for operation under constrained technical conditions. The proposed design includes a custom-built powder feeding and leveling mechanism, along with a telemetry module enabling realtime acquisition and analysis of thermal data. The digital twin is implemented as an integrated model that combines thermomechanical analysis, G-code execution, and corrective control of printing parameters. The mathematical foundation is based on the transient heat conduction equation with a volumetric heat source and a Gaussian distribution of laser power density.An experimental setup employing pyrometers and thermocouples in the melt zone was used to validate the model. The comparison of simulated and measured data showed a mean absolute error of less than 2.5 °C. The application of the digital twin resulted in a 12–15% reduction in residual stresses, as confirmed by X-ray diffraction analysis. The developed system demonstrates high efficiency in predictive quality control and can be integrated into adaptive control loops. The approach aligns with the Industry 4.0 concept, offering increased stability, repeatability, and reliability in SLM processes","url":"https://doi.org/10.53360/2788-7995-2025-3(19)-9","authors":["Zh. Zhantlesov","Serik Altynbek","A. Musabayev"],"tags":["Thermocouple","Transient (computer programming)","Residual","Reliability (semiconductor)","Pyrometer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-03","doi":"https://doi.org/10.53360/2788-7995-2025-3(19)-9","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4286685852","name":"Can you feel the excitement? Physiological correlates of students' self‐reported emotions","source":"openalex","abstract":"BACKGROUND: This study explored the physiological correlates of students' self-reported emotions in ecologically valid settings by combining biosignal data (on physical and cardiac activity) and experience sampling method (ESM) data. AIMS: The aim was to examine the concurrent associations between self-reported excitement, calmness, anxiety, and boredom (adopted from the dimensional model of emotions) and students' heart rate (HR) and heart rate variability (HRV) (indicators of physiological arousal and the activation of the autonomous nervous system). Students' physical activity was controlled in the models via the metabolic equivalent of task (MET) values (actigraphy data). A second objective was to explore how to combine the information stored by these three sources of ambulatory assessment. SAMPLE: The study comprised 136 high school students with multiple repetitive data points. METHODS: For three consecutive days, students wore biometric sensors and wristbands collecting their HR, HRV, and MET signals, and answered the ESM questionnaires five times a day on smartphones. RESULTS: When MET values were controlled for, self-reported excitement was related to higher HR as well as lower HRV during a specific moment, indicating stronger sympathetic activity (i.e., physiological arousal/activation). Self-reported boredom was related to lower HR but was unrelated to HRV. Self-reported calmness and anxiety were unrelated to HR and HRV after controlling for MET. CONCLUSIONS: A 5-min time window with a Gaussian weighted mean seemed to be an appropriate data processing method for capturing the physiological arousal (or abate) of self-reported excitement and boredom. The findings suggest that the physiological stimulus of elevated HR could be interpreted by students as an adaptive state of excitement. Combining the experience sampling approach and the physiological measures revealed how the mind and body function in interplay and can therefore provide objective evidence of emotional and motivational processes as they unfold in students' daily lives.","url":"https://doi.org/10.1111/bjep.12534","authors":["Elina Ketonen","Visajaani Salonen","Kirsti Lonka","Katariina Salmela‐Aro"],"tags":["Heart rate variability","Psychology","Boredom","Arousal","Anxiety"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-22","doi":"https://doi.org/10.1111/bjep.12534","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7201884303","name":"A Systematic Review of IoT-Enabled Predictive Drying for Arabica Coffee: Toward a Python-Based Digital Twin Framework for the Gayo Highlands, Aceh Tengah, Indonesia","source":"openalex","abstract":"Post-harvest drying is the single most decisive determinant of Arabica coffee quality, yet in the Gayo Highlands of Aceh Tengah (950 - 1,650 m.a.s.l.) it remains an experience based, weather dependent operation conducted largely on tarpaulins and open patios. High relative humidity, frequent rainfall, and low ambient temperature routinely prolong drying beyond ten days, produce non uniform final moisture content, and expose parchment to fungal colonisation and ochratoxin risk, causing smallholders to fail the 12.5% maximum moisture threshold of SNI 01-2907-2008 and to forfeit specialty price premiums. This systematic literature review, conducted following PRISMA guidelines on peer reviewed publications from 2019–2026, synthesises three research streams that have so far evolved in isolation: (i) thin layer drying kinetics of parchment coffee, (ii) Internet of Things (IoT) architectures for solar and hybrid dryers, and (iii) digital twin methodology in food and grain drying. The review finds that existing coffee drying IoT deployments are overwhelmingly reactive while validated kinetic models (modified Midilli, Page) capable of such prediction remain confined to laboratory dryers and are never coupled to field sensor streams. Digital twin research in drying has concentrated on grain and fruit, leaving coffee, and highland smallholder contexts in particular, unaddressed. From this synthesis the review derives seven research gaps and proposes SIKOPI-DT, a contextualised five layer Python based digital twin framework in which a modified Midilli kinetic core is continuously reparameterised by low cost IoT sensors (ESP32, SHT31, load cell) to forecast the time to target moisture content and to drive predictive supplementary-heat control under Gayo weather scenarios. Synthesised evidence indicates that such a system can plausibly reduce drying time by 30–50%, cut specific energy consumption by 15–30%, and improve moisture uniformity relative to open-sun practice. A three phase experimental validation roadmap and a smallholder economic feasibility analysis are presented, positioning this review as the theoretical foundation for a physical prototype in Aceh Tengah.","url":"https://doi.org/10.31572/inotera.vol11.iss2.2026.id721","authors":["Muhammad Ihsan","H. Susanto","Nuzuli Fitriadi"],"tags":["Computer science","Moisture","Process engineering","Agricultural engineering","Water content"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-30","doi":"https://doi.org/10.31572/inotera.vol11.iss2.2026.id721","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4282835381","name":"An antiracist, anticolonial agenda for urban greening and conservation","source":"openalex","abstract":"Abstract Productive discourse regarding the role of racism and colonialism in conservation is growing but still limited. Inadequate recognition of these powerful forces has significantly impeded socially just conservation efforts. This paper integrates multiple disciplinary perspectives to discuss historical conservation practices in the United States and abroad to reveal challenges with moving beyond traditional approaches to conservation that perpetuate systemic racism and colonialism. Using urban greening (e.g., tree planting) in the United States as an example, we show how these challenges manifest as White ideals of nature, power disparities, and displacement and exclusion. We then put forth an agenda for antiracist, anticolonial urban conservation and urban greening. This agenda uses the tripartite environmental justice framework (i.e., distributional, recognition, and procedural justice) as a starting point, integrating and adapting more critical views of contemporary environmental justice to highlight specific policies and practices that can be applied to many conservation problems.","url":"https://doi.org/10.1111/conl.12889","authors":["Lauren E. Mullenbach","Betsy Breyer","Bethany B. Cutts","Louie Rivers","Lincoln R. Larson"],"tags":["Racism","Economic Justice","Political science","Sociology","Vulnerability (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-13","doi":"https://doi.org/10.1111/conl.12889","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7154457751","name":"Digital human twins for disabled people: technology for enabling or ableism?","source":"openalex","abstract":"Amongst disruptive technologies in twenty-first century, digital twinning has been the backbone of the industry 4.0. This technology has also been increasingly applied to medicine and precision public health by creating digital human twins (DHT). However, the transformative nature of this technology also brings social and societal implications. This article addresses the research question of ‘ What are the social implications of DHT development and the accompanying discourse in relation to disability?’ by critically reviewing and discussing the implications of the technology for disabled people and for their work and employment. In doing so, we fundamentally take socio-technical view which has dual focus on excellence in technology development as well as the equality that is afforded to people. Two key sociological theories underpin our discussion, namely 1) socio-materiality in the light of agentic capacity of DHT; and 2) technoableism and epistemic injustice rooted in critical disability study. Our aim of the paper is to offer provoking yet helpful points to think in addressing questions around the social implications of the DHT development to the disabled people. We raise novel questions of ethics on AI and DHT based on our arguments regarding agentic capacity of the technology and epistemic injustice faced by disabled people. We conclude our paper by suggesting the potential for DHT to be used to enhance disabled people’s well-being and sense of togetherness in the workplace and the society.","url":"https://doi.org/10.1007/s00146-026-03033-6","authors":["Eun Sun Godwin","Marisa Smith"],"tags":["Transformative learning","Injustice","Sociology","Excellence","Ethics of technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-15","doi":"https://doi.org/10.1007/s00146-026-03033-6","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3092677345","name":"Current methodologies and approaches for the formation of core–sheath polymer fibers for biomedical applications","source":"openalex","abstract":"The application of polymer fibers has rocketed to unimaginable heights in recent years and occupies every corner of our day-to-day life, from knitted protective textile clothes to buzzing smartphone electronics. Polymer fibers could be obtained from natural and synthetic polymers at a length scale from the nanometer to micrometer range. These fibers could be formed into different configurations such as single, core–sheath, hollow, blended, or composite according to human needs. Of these several conformations of fibers, core–sheath polymer fibers are an interesting class of materials, which shows superior physical, chemical, and biological properties. In core–sheath fiber structures, one of the components called a core is fully surrounded by the second component known as a sheath. In this format, different polymers can be applied as a sheath over a solid core of another polymer, thus resulting in a variety of modified properties while maintaining the major fiber property. After a brief introduction to core–sheath fibers, this review paper focuses on the development of the electrospinning process to manufacture core–sheath fibers followed by illustrating the current methodology and approaches to form them on a larger scale, suitable for industrial manufacturing and exploitation. Finally, the paper reviews the applications of the core–sheath fibers, in particular, recent studies of core–sheath polymer fibers in tissue engineering (nerve, vascular grafts, cardiomyocytes, bone, tendons, sutures, and wound healing), growth factors and other bioactive component release, and drug delivery. Therefore, core–sheath structures are a revolutionary development in the field of science and technology, becoming a backbone to many emerging technologies and novel opportunities.","url":"https://doi.org/10.1063/5.0008310","authors":["Suntharavathanan Mahalingam","Rupy Kaur Matharu","Shervanthi Homer‐Vanniasinkam","Mohan Edirisinghe"],"tags":["Core (optical fiber)","Polymer","Materials science","Electrospinning","Textile"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-14","doi":"https://doi.org/10.1063/5.0008310","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W3046201722","name":"Indigenous engagement in health: lessons from Brazil, Chile, Australia and New Zealand","source":"openalex","abstract":"BACKGROUND: Given the persistence of Indigenous health inequities across national contexts, many countries have adopted strategies to improve the health of Indigenous peoples. Governmental recognition of the unique health needs of Indigenous populations is necessary for the development of targeted programs and policies to achieve universal health coverage. At the same time, the participation of Indigenous peoples in decision-making and program and policy design helps to ensure that barriers to health services are appropriately addressed and promotes the rights of Indigenous peoples to self-determination. Due to similar patterns of Indigenous health and health determinants across borders, there have been calls for greater global collaboration in this field. However, most international studies on Indigenous health policy link Anglo-settler democracies (Canada, Australia, Aotearoa/New Zealand and the United States), despite these countries representing a small fraction of the world's Indigenous people. AIM: This paper examines national-level policy in Australia, Brazil, Chile and New Zealand in relation to governmental recognition of differential Indigenous health needs and engagement with Indigenous peoples in health. The paper aims to examine how Indigenous health needs and engagement are addressed in national policy frameworks within each of the countries in order to contribute to the understanding of how to develop pro-equity policies within national health care systems. METHODS: For each country, a review was undertaken of national policies and legislation to support engagement with, and participation of, Indigenous peoples in the identification of their health needs, development of programs and policies to address these needs and which demonstrate governmental recognition of differential Indigenous health needs. Government websites were searched as well as the following databases: Google, OpenGrey, CAB Direct, PubMed, Web of Science and WorldCat. FINDINGS: Each of the four countries have adopted international agreements regarding the engagement of Indigenous peoples in health. However, there is significant variation in the extent to which the principles laid out in these agreements are reflected in national policy, legislation and practice. Brazil and New Zealand both have established national policies to facilitate engagement. In contrast, national policy to enable engagement is relatively lacking in Australia and Chile. Australia, Brazil and New Zealand each have significant initiatives and policy structures in place to address Indigenous health. However, in Brazil this is not necessarily reflected in practice and although New Zealand has national policies these have been recently reported as insufficient and, in fact, may be contributing to health inequity for Māori. In comparison to the other three countries, Chile has relatively few national initiatives or policies in place to support Indigenous engagement or recognise the distinct health needs of Indigenous communities. CONCLUSIONS: The adoption of international policy frameworks forms an important step in ensuring that Indigenous peoples are able to participate in the formation and implementation of health policy and programs. However, without the relevant principles being reflected in national legislature, international agreements hold little weight. At the same time, while a national legislative framework facilitates the engagement of Indigenous peoples, such policy may not necessarily translate into practice. Developing multi-level approaches that improve cohesion between international policy, national policy and practice in Indigenous engagement in health is therefore vital. Given that each of the four countries demonstrate strengths and weaknesses across this causal chain, cross-country policy examination provides guidance on strengthening these links.","url":"https://doi.org/10.1186/s12939-020-1149-1","authors":["Angeline Ferdinand","Michelle Lambert","Leny Alves Bomfim Trad","Leo Pedrana","Yin Paradies","Margaret Kelaher"],"tags":["Indigenous","Aotearoa","Health policy","Health services research","Economic growth"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-30","doi":"https://doi.org/10.1186/s12939-020-1149-1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7160420767","name":"Digital Twin–Oriented Certification Architecture for Advanced Air Mobility","source":"openalex","abstract":"Advanced Air Mobility (AAM) systems introduce certification challenges associated with distributed propulsion, increasing software reliance, and tightly coupled architectures. These characteristics evolve within regulatory environments that are still adapting to emerging vehicle concepts. While digital engineering practices are increasingly adopted during system development, certification workflows remain largely document-centric, limiting lifecycle traceability and consistent reasoning about change impacts as designs and regulatory interpretations evolve. This paper proposes a Digital Twin–oriented certification architecture that integrates regulatory knowledge, system representations, Means of Compliance (MoCs), and verification artifacts within a unified model-based environment. The architecture is organized around four elements: regulatory structuring, Model-Based Systems Engineering (MBSE)–based embedding, dependency-aware change reasoning, and authority-oriented compliance organization. A simplified scenario, illustrated using a simplified and abstracted eVTOL configuration as a representative AAM example, is used to demonstrate the structure of certification relationships rather than vehicle-specific implementation details. The proposed architecture supports improved traceability, enhances visibility of dependencies, and provides a structured basis for future digital certification practices across AAM ecosystems. Future work will focus on implementation pathways, evaluation in representative scenarios, and integration with model-based verification approaches.","url":"https://doi.org/10.58940/2374-6793.2089","authors":["Daniel Pleffken"],"tags":["Certification","Traceability","Software engineering","Workflow","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"https://doi.org/10.58940/2374-6793.2089","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4404697173","name":"Atomic Scale Cooperativity of Alloy Nanostructures for Efficient Nitrate Electroreduction to Ammonia in Neutral Media","source":"openalex","abstract":"Abstract Electrochemical nitrate reduction reaction (NO 3 RR) offers a route to balanced nitrogen cycle and sustainable ammonia production. However, unsatisfied performance in neutral media arising from competitive hydrogen evolution reaction and inefficient hydrogenation impede the further applications of NO 3 RR. Herein, the rational design of RuNi alloy nanostructures is reported. Benefited from the synergism effect between Ru and Ni, Ru 20 Ni 80 alloy exhibits a high NH 3 Faradaic efficiency of 98.02% at −0.35 V (vs reversible hydrogen electrode (RHE)) and a large NH 3 yield rate of 27.88 mg mg cat −1 h −1 at −0.65 V (vs RHE). Importantly, the atomic scale cooperation between Ru and Ni active sites endows RuNi alloy a close‐to‐unity NH 3 selectivity via HNO * pathway. Theoretical calculations have revealed that the interactions between Ru and Ni optimize the electronic structures of Ru 20 Ni 80 alloy, where Ru sites with enhanced electroactivity improve the generation of active hydrogens and more electron‐rich Ni sites facilitate the reduction of nitrate. Accordingly, the adsorption strengths of key intermediates become stronger and the energy barriers of NO 3 RR are reduced to guarantee efficient NO 3 RR. Furthermore, a flow‐type reactor coupled with coprecipitation is established to achieve continuous NH 3 generation and recovery as struvite.","url":"https://doi.org/10.1002/adfm.202420153","authors":["Yuecheng Xiong","Mingzi Sun","Shiyu Wang","Yunhao Wang","Jingwen Zhou","Fengkun Hao","Fu Liu","Yan Yan","Xiang Meng","Liang Guo","Yuqian Liu","Shengqi Chu","Qinghua Zhang","Bolong Huang","Zhanxi Fan"],"tags":["Materials science","Alloy","Ammonia","Cooperativity","Nanostructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-25","doi":"https://doi.org/10.1002/adfm.202420153","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7203950608","name":"Translating the Twin Transition into University Decisions: A Governance Grammar for Polish Higher Education","source":"openalex","abstract":"The European Union frames digitalisation and decarbonisation as a twin transition, yet institutional complementarity cannot be presumed. This conceptual article asks how Polish higher-education institutions (HEIs) can translate EU and national digital, green, skills, innovation, and place-based priorities into accountable choices. It combines purposive qualitative documentary analysis with conceptual reconstruction, drawing on EU and Polish law and policy, public ROAD2EU materials, and peer-reviewed scholarship available by 4 July 2026. The unit of analysis is the institutional choice episode: a bounded process in which an HEI authorises, funds, designs, procures, continues, scales, redesigns, pauses, stops, transfers, or retires an initiative. The synthesis develops the University Twin-Transition Decision Grammar, comprising five linked clauses: problem and place; the coupling claim; authority and affected voices; safeguards and reversibility; and warrant and disposition. Applied across teaching, research, operations, and regional engagement, the grammar requires each initiative to identify a material problem, justify digital-green additionality against credible alternatives, locate decision rights, state non-negotiable safeguards and exit conditions, and match evidence to a permissible disposition. Six propositions specify how the grammar may affect problem definition, project rejection or redesign, ownership, reversibility, evidence claims, and institutional variation. The framework is a normative proposition for empirical testing, not evidence that Polish HEIs or ROAD2EU have implemented it or achieved institutional or regional effects.","url":"https://doi.org/10.5709/alp-02.s1.2026-07","authors":["Olena Pimenowa"],"tags":["Higher education","Normative","Scholarship","Corporate governance","Complementarity (molecular biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-21","doi":"https://doi.org/10.5709/alp-02.s1.2026-07","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7161141568","name":"Prospects for Implementing the Digital Twin of an Organization Concept in Corporate Governance","source":"openalex","abstract":"The article examines the prospects of adopting a Digital Twin of an Organization (DTO) as an instrument of corporate governance in data-intensive firms, with a focus on AI-enabled real-estate operations. Relevance is determined by the governance gap between fast decision cycles and weak traceability of managerial actions, where informal, unrecorded decisions reduce accountability and impair learning from outcomes. Scientific novelty stems from integrating DTO logic with governance mechanisms that treat every interaction, document, and decision as a structured digital trace suitable for model synchronization and controllable execution. The article aims to develop an analytical framework that links DTO architecture to corporate control loops and to the transition from human-in-the-loop to human-on-the-loop oversight for critical interventions. The study applies comparative analysis of recent research, conceptual synthesis, and governance mapping of data, process, and oversight requirements. The conclusion formulates practical design principles for DTO deployment in corporate governance and identifies conditions under which semi-autonomous decisioning becomes organizationally and legally manageable.","url":"https://doi.org/10.70315/uloap.ulbec.2026.0302005","authors":["Victor Plotnikov"],"tags":["Corporate governance","Novelty","Accountability","Relevance (law)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-02","doi":"https://doi.org/10.70315/uloap.ulbec.2026.0302005","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7167213062","name":"DIGITAL TRANSFORMATION OF UZBEKISTAN'S ARCHITECTURAL INDUSTRY: THE ROLE OF BIM, ARTIFICIAL INTELLIGENCE AND DIGITAL TWIN TECHNOLOGIES","source":"openalex","abstract":"This article examines the role of Building Information Modeling (BIM), Artificial Intelligence (AI), and DigitalTwin technologies in the digital transformation of Uzbekistan’s architectural industry. The study analyzes the potential of thesetechnologies to improve architectural design, construction management, and urban development processes. Based on a reviewof scientific literature, international experience, and national digitalization initiatives, the main challenges and opportunities oftechnology adoption are identified. The findings suggest that BIM, AI, and Digital Twins can enhance project efficiency, resourcemanagement, and sustainability throughout the building lifecycle. The study concludes that the integration of advanced digitaltechnologies is essential for the modernization and competitiveness of Uzbekistan’s architectural sector","url":"https://doi.org/10.5281/zenodo.21176499","authors":["Бабаджанова Наргис Рамзовна Mutalova Kamolakhon Rashid kizi"],"tags":["Digital transformation","Architectural engineering","Modernization theory","Engineering","Architectural technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.5281/zenodo.21176499","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7165131204","name":"Digital twins and predictive analytics in smart aquaculture: A comprehensive review","source":"openalex","abstract":"The rapid expansion of aquaculture has intensified the demand for intelligent production systems capable of improving efficiency, environmental sustainability, and operational resilience. Despite substantial advances in aquaculture production, the industry continues to experience persistent challenges associated with water quality instability, disease outbreaks, inefficient feed management, environmental stress, and increasing production costs. Recent developments in smart farming technologies have accelerated the integration of digital twins and predictive analytics into aquaculture management systems to support real time monitoring, predictive decision making, and automated operational control. Digital twins enable the creation of dynamic virtual representations of physical aquaculture systems through continuous synchronization with real time environmental and operational data obtained from sensors, Internet of Things infrastructure, and automated monitoring platforms. Predictive analytics further strengthens these systems by applying artificial intelligence, machine learning, and computational modelling techniques to forecast environmental changes, production trends, and operational risks. This review critically examines the modelling approaches, applications, cyber security implications, and adoption challenges associated with digital twins and predictive analytics in aquaculture production systems. The review further evaluates modelling approaches such as mechanistic models, machine learning systems, hybrid models, simulation techniques, and hydrodynamic models used within intelligent aquaculture environments. Practical applications in water quality monitoring, precision feeding, disease prediction, production optimization, climate resilient aquaculture, and recirculating aquaculture systems are also examined. In addition, the review highlights important challenges related to infrastructure cost, data quality, technical expertise, and regulatory governance that continue to limit widespread implementation, particularly in developing countries. The study concludes that digital twins and predictive analytics possess considerable potential to transform aquaculture into a more intelligent, adaptive, and sustainable production system capable of supporting future global food demands. Continued interdisciplinary collaboration, infrastructure development, and establishment of secure and scalable digital frameworks will remain essential for advancing smart aquaculture technologies.","url":"https://doi.org/10.33545/27076571.2026.v7.i6a.341","authors":["Afia O Edet","Udo EN"],"tags":["Analytics","Predictive analytics","Big data","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.33545/27076571.2026.v7.i6a.341","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7203720265","name":"Digital Twin-Driven TD3-CPER Control for Continuous Casting","source":"openalex","abstract":"Continuous casting is a key process in intelligent steel manufacturing, and mold level control directly affects slab quality and production stability. However, strong nonlinearity, multivariable coupling, time delays, and operating disturbances make real-time control optimization challenging for conventional control strategies. To address this problem, this paper proposes a digital twin-driven reinforcement learning control method based on Twin Delayed Deep Deterministic Policy Gradient with Composite Prioritized Experience Replay, termed TD3-CPER. A data-driven digital twin environment is constructed using real production data to support closed-loop policy training and evaluation. In TD3-CPER, the replay mechanism integrates temporal-difference error, reward feedback, replay frequency, and K-Medoids clustering to improve sample utilization and training stability. Simulation results show that TD3-CPER increases the number of Grade I slabs by 56.2% compared with manual control and achieves a 14.7% higher average cumulative reward than the strongest baseline reinforcement learning method. These results suggest that TD3-CPER is a feasible approach for quality-oriented control optimization in continuous casting.","url":"https://doi.org/10.70114/acmsr.2026.8.1.p97","authors":["Quanhui Qiu","Sen Wang","Jiacheng Zheng","Dejun Ning"],"tags":["Reinforcement learning","Computer science","Control (management)","Process (computing)","Continuous casting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-18","doi":"https://doi.org/10.70114/acmsr.2026.8.1.p97","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7168952585","name":"Machine Learning for Concrete Performance Prediction and Intelligent Optimization: A Comprehensive Review","source":"openalex","abstract":"With the rapid development of artificial intelligence (AI) technologies, machine learning (ML) has been widely applied in concrete material design, performance prediction, and intelligent structural engineering. Compared with traditional empirical approaches, ML can efficiently establish complex nonlinear relationships among concrete mix proportions, environmental factors, and performance indicators, thereby improving prediction efficiency, reducing experimental costs, and enabling multi-objective optimization of mix proportions. This paper systematically reviews the recent research progress of ML technologies in the field of concrete engineering, with particular emphasis on typical algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Their applications in predicting workability, mechanical properties, durability performance, and mix proportion optimization are comprehensively summarized. In addition, recent advances in ML applications for crack detection and digital twin technologies are also discussed. Moreover, deep learning and computer vision (CV) technologies have significantly promoted the development of crack identification and structural health monitoring, whereas the integration of digital twin and Internet of Things (IoT) technologies has further expanded the application of ML in smart infrastructure. Finally, the current challenges associated with data quality, model interpretability, and engineering applications are summarized, and future research directions are discussed. Overall, by linking algorithm choice to specific concrete performance-prediction tasks, this review clarifies the conditions under which ML delivers reliable results and provides a structured reference for both researchers and practitioners. The comparative analysis indicates that ensemble tree-based models—particularly random forest and gradient-boosting variants such as XGBoost—together with well-tuned neural networks consistently achieve the highest predictive accuracy across most concrete properties, with reported test-set coefficients of determination commonly between 0.90 and 0.99, whereas limited data availability, inconsistent validation protocols, and restricted model interpretability remain the principal obstacles to engineering deployment.","url":"https://doi.org/10.3390/buildings16142806","authors":["Keqing Hu","Yi Yang","Yanfeng Wang","J Zhang","Ying Liu"],"tags":["Machine learning","Computer science","Artificial intelligence","Field (mathematics)","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-15","doi":"https://doi.org/10.3390/buildings16142806","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3122651213","name":"Does Winning a Patent Race lead to more follow-on Innovation?","source":"openalex","abstract":"Abstract Competition between firms to invent and patent an idea, or “patent racing,” has been much discussed in theory, but seldom analyzed empirically and never at scale. This article introduces an empirical way to identify patent races, and provides the first broad-based view of them in the real world. It reveals that patent races are common, particularly in information-technology fields. The article then analyzes the effect of winning a patent race, showing that patent race winners do significantly more follow-on innovation, and their follow-on research is more similar to what was covered by the patent. (JEL CODES: O34, O32, O31)","url":"https://doi.org/10.1093/jla/laaa001","authors":["Neil Thompson","Jeffrey M. Kuhn"],"tags":["Race (biology)","Competition (biology)","Patent analysis","Scale (ratio)","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1093/jla/laaa001","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7167357378","name":"Automatic 3D Building Model Generation for Energy Digital Twins","source":"openalex","abstract":"Abstract. Digital Twins in the Architecture, Engineering, and Construction (AEC) domain support monitoring, simulation, and increasing levels of automation in building management across scales. Energy Digital Twins are particularly demanding, requiring (i) simulation-grade geometry and (ii) persistent topology and semantics across monitoring- and scenario-driven updates. This paper proposes a unified multi-representation EDT in which (i) a watertight, solid, and (ii) a topology-preserving B-Rep are co-maintained through a mapping layer that preserves object identity and links geometry to a typed property graph. Building on this, the presented Scan-to-Energy Digital Twin pipeline converts raw point clouds into multi-level EDT instances by integrating Scan-to-BIM reconstruction, topological modelling, semantic enrichment and parser–transformer–writer interoperability modules. The graph-backed EDT enables reversible export to epJSON and gbXML (optionally IFC), supporting scenario-based EnergyPlus simulations and incremental retrofit updates, such as insulation thickness and window thermal transmittance value changes. Validation on a set of four buildings achieves 0.86–0.89 mAPv and schema-valid exports, demonstrating the effectiveness of our end-to-end approach for interoperable energy analysis, monitoring, and operational decision support.","url":"https://doi.org/10.5194/isprs-annals-xi-1-2026-447-2026","authors":["O. V. Roman","Giorgio Agugiaro","Ken Arroyo Ohori","Maarten Bassier","Elisa Mariarosaria Farella","Fabio Remondino"],"tags":["Interoperability","Computer science","Pipeline (software)","Set (abstract data type)","Object (grammar)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-03","doi":"https://doi.org/10.5194/isprs-annals-xi-1-2026-447-2026","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7125351943","name":"A Predictive and Preventive Digital Twin Framework for Indoor Wireless Networks","source":"openalex","abstract":"Wi-Fi networks increasingly suffer from performance degradation caused by contention-based channel access, dense deployments, and largely self-managed operation among mutually interfering access points (APs). In this paper, we propose a Digital Twin (DT) framework that captures the essential spatial and temporal characteristics of wireless channels and traffic patterns, enabling the prediction of likely future network scenarios while respecting physical constraints. Leveraging this predictive capability, we introduce two analytically derived performance upper bounds-one based on Shannon capacity and the other on latency behavior under CSMA-CA (Carrier Sense Multiple Access with Collision Avoidance)-that can be evaluated efficiently without time-consuming network simulations. By applying importance sampling to DT-generated scenarios, potentially risky network conditions can be identified within large stochastic scenario spaces. These same performance bounds are then used to proactively guide a gradient-based search for improved network configurations, with the objective of avoiding imminent performance degradation rather than pursuing globally optimal but fragile solutions. Simulation results demonstrate that the proposed approach can successfully predict time-dependent network congestion and mitigate it in advance, highlighting its potential for predictive and preventive Wi-Fi network management.","url":"https://openalex.org/W7125351943","authors":["Jiunn-Tsair Chen"],"tags":["Computer science","Latency (audio)","Computer network","Wireless network","Channel (broadcasting)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-20","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4312112374","name":"A novel multi-objective service composition architecture for blockchain-based cloud manufacturing","source":"openalex","abstract":"Abstract In recent years, many core technologies of Industry 4.0 have advanced significantly, particularly the integration of big data technology and cloud manufacturing (CMfg). The decentralization and traceability features of blockchain technology (BCT) provide an effective solution to provide trusted resource service in CMfg. Service composition is a core issue of CMfg to increase the value of digital assets. However, existing research on service composition based on BCT suffers from both the blockchain proof-of-work (PoW) mechanism and the service composition problem need to consume large computational overheads, as well as the blockchain fork problem affecting the system’s reliability, which reduces the usefulness of these schemes. To solve these problems, this paper proposes a novel multi-objective service composition architecture for blockchain-based CMfg (MOSC-BBCM). In MOSC-BBCM, first, a blockchain-chained storage structure is designed for the actual manufacturing cloud service constraint and scale dynamic changes, which can fully use the historical service information and accelerate the search for high-quality solutions. Second, to reduce the squandered computing resources in the PoW, a mining mechanism based on multi-objective service composition and optimal selection is proposed, where miners competitively solve a nondeterminate polynomial-hard problem to replace the mathematical puzzle. Finally, an incentive mechanism based on the environment selection method is proposed, which can avoid the fork problem while distributing on a labor basis. The effectiveness of the proposed MOSC-BBCM is verified in simulated numerical experiments of CMfg, which shows that the architecture provides a flexible and configurable scheme for blockchain-based CMfg with high availability.","url":"https://doi.org/10.1093/jcde/qwac130","authors":["Juncheng Tong","Bo Zhao","Yang An"],"tags":["Cloud manufacturing","Cloud computing","Distributed computing","Computer science","Blockchain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-23","doi":"https://doi.org/10.1093/jcde/qwac130","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7172526691","name":"Bayesian updating with SC-MCMC for PMSM digital twin models","source":"openalex","abstract":"The fidelity of permanent magnet synchronous motor (PMSM) digital twins tends to degrade during operation due to system non-stationarity, which arises from time-varying operating conditions, parameter drift, and environmental disturbances. This degradation significantly limits their effectiveness in predictive maintenance and intelligent operation. This paper presents a chain-splitting self-correcting Markov chain Monte Carlo (SC-MCMC) method for autonomous Bayesian updating of PMSM digital twins. The method employs a residual-variance-driven auxiliary chain to explore inefficient sampling regions and adaptively correct the main chain’s proposal distribution, enhancing sampling efficiency and posterior convergence. A physics-driven PMSM digital twin is constructed by integrating finite element analysis with eddy-current-equivalent reduced-order modelling. Sobol global sensitivity analysis identifies key parameters, incorporated into a Bayesian framework for online updating. Experimental results show the updated digital twin significantly improves phase current prediction, reducing root-mean-square and mean absolute errors by 48.65% and 44.65%, respectively, providing a practical solution for high-fidelity modelling and predictive operation in smart manufacturing.","url":"https://doi.org/10.1080/27525783.2026.2701580","authors":["Haibo Xu","Zhibin Yang","Xiaogang Qin","Weizheng An","Xiajing Yan","Lixiang Duan","Jinjiang Wang"],"tags":["Computer science","Bayesian probability","Control theory (sociology)","Stability (learning theory)","Algorithm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-05","doi":"https://doi.org/10.1080/27525783.2026.2701580","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W7125830663","name":"Equ-Axed Fine-Grained and Nanotwinned Cu with Ultrahigh Tensile Strength","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide In this study, the Electroplating parameters were systematically tuned to transform Cu microstructures from columnar grains into equ-axed fine grains with high-density nanotwins. The optimized electroplating parameters (0.5 M [Cu 2+ ], 49.13 ppm [Cl – ], 10 °C plating temperature, and 7.11 A/dm 2 (ASD) current density) yielded an average grain size of 0.16 μm and twin spacing of 31.7 nm. These microstructural features enabled a tensile strength of 737.5 ± 7.1 MPa in the as-deposited state and up to 828.6 ± 9.2 MPa after annealing at 100 °C for 2 h, while maintaining 70% conductivity. The complex systems response (CSR) platform served as an auxiliary multivariate optimization tool to locate the process window efficiently. By achieving simultaneous enhancement of ultimate tensile strength, this work provides practical guidance for tailoring nanostructured Cu films and foils for printed circuit boards and advanced interconnects.","url":"https://doi.org/10.1021/acs.cgd.5c01359","authors":["Chun-Ting Ke","Kang-Ping Lee","Dinh-Phuc Tran","Wen-Jun Chen","Da-Jeng Yao","Chih Chen"],"tags":["Materials science","Ultimate tensile strength","Composite material","Metallurgy","Copper"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-27","doi":"https://doi.org/10.1021/acs.cgd.5c01359","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7172019824","name":"Digital twin for coastal cities: an evaluation from a stakeholder perspective","source":"openalex","abstract":"Improving community resilience requires innovative approaches to developing adaptation strategies. The European Union has supported this process through several initiatives focusing on nature-based solutions (NBSs), digital technologies, and promoting co-creation. The Smart Control of the Climate Resilience in European Coastal Cities (SCORE) project, funded by the EU Horizon 2020 program, focused on improving the resilience of coastal cities by promoting new digital tools such as digital twins, citizen science sensing, NBS, and co-creation activities engaging citizens and stakeholders in the design, development, and evaluation of NBS-based resilience solutions. SCORE developed a digital twin for three cutting-edge cities: Massa in Italy, and Vilanova i la Geltrù and Oarsoaldea in Spain, the first two on the Mediterranean coast, and the second in the Basque region on the Atlantic Ocean. The digital twin aims to support both the co-design of NBSs to effectively reduce flood risk and the management of flood-related emergencies by providing a clear representation of scenarios obtained from real-time sensors and short-term forecasts. This article reports and evaluates the co-creation process carried out in these cutting-edge cities following the living lab approach, with particular attention to the usability, utility, and expected impact of these new technologies within an effective climate change resilience strategy.","url":"https://doi.org/10.1080/29931495.2026.2702755","authors":["Luca Baldini","Roberta Paranunzio","Elisa Adirosi","Beatrice Carlini","Giovanni Serafino","Giovanni Scognamiglio","Attilio Vaccaro","Casey Borklund","Rochelle Caruso","Federico Binaglia","Mar Riera-Spiegelhalder","Ester Toledo Arroyo","Sara Soloaga","Juan Iglesias","Xabier Sesma","Salem Gharbia"],"tags":["Resilience (materials science)","European union","Process (computing)","Environmental resource management","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-31","doi":"https://doi.org/10.1080/29931495.2026.2702755","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7163826002","name":"The Governability Landscape of Autonomous Systems 2026: An Industry Baseline for Robotics, Physical AI, and Runtime Governance","source":"openalex","abstract":"This paper provides a landscape assessment of governability across the autonomous systems industry in 2026. The analysis reviews publicly observable positioning, research priorities, technology roadmaps, and communication themes across leading organizations active in robotics, Physical AI, autonomous systems, industrial automation, digital twins, and frontier artificial intelligence. Organizations examined include NVIDIA, Google DeepMind, OpenAI, Anthropic, Tesla, Figure, Physical Intelligence, Agility Robotics, Sanctuary AI, Boston Dynamics, Siemens, Dassault Systèmes, Hexagon, and NEURA Robotics. The assessment identifies a strong industry-wide emphasis on capability development, foundation models, world models, simulation, embodied intelligence, deployment, and scaling. In contrast, governability-related concepts such as runtime governability, operational legitimacy, certification continuity, governance infrastructure, and ecosystem-scale controllability appear comparatively rare as publicly communicated strategic categories. The paper introduces the concept of the Governability Landscape and documents the publicly observable state of industry priorities as of June 2026. Rather than proposing a new technical architecture, the paper serves as a historical baseline intended to support future research on governability, autonomous systems assurance, runtime governance, and governance infrastructure. Keywords: Governability, Autonomous Systems, Physical AI, Robotics, Runtime Governance, Governance Infrastructure, Autonomous Ecosystems, Digital Twins, Foundation Models, Industrial AI, Certification Continuity","url":"https://doi.org/10.5281/zenodo.20583553","authors":["Andreas Blumer"],"tags":["Baseline (sea)","Certification","Corporate governance","Foundation (evidence)","Agency (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-07","doi":"https://doi.org/10.5281/zenodo.20583553","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7154762820","name":"Defects in Modular Building Construction: A Systematic Lifecycle Review and Implications for Sustainable Delivery","source":"openalex","abstract":"Despite its potential to enhance construction quality, efficiency, and sustainability, modular construction continues to experience defects that hinder its broader adoption. Understanding and mitigating defects is essential for maximising the sustainability benefits of modular construction by reducing material waste, minimising rework and improving lifecycle performance. Existing research remains fragmented, with limited synthesis integrating defects with their root causes across the project lifecycle. To address this gap, this study investigates defect types, lifecycle-based causes, and mitigation strategies in modular building projects through a PRISMA-guided systematic literature review of 61 peer-reviewed journal articles published between 2015 and 2025 and retrieved from Scopus and Web of Science. Six major defect categories were identified: geometric and dimensional; material and component; joint and connection integrity; envelope performance and durability; structural; and mechanical, electrical, and plumbing (MEP) defects, with geometric and dimensional defects emerging as the most prevalent, accounting for 26.7% of reported cases. Lifecycle root-cause mapping indicates that poor workmanship during on-site assembly is the dominant contributor, accounting for 44.1% of identified root causes, with manufacturing errors (26.8%) and design limitations (13.4%) acting as critical upstream sources. Mitigation strategies cluster into three groups: general recommendations (39% of reported strategies), mainly focusing on low-cost organisational measures such as logistics coordination and workforce training; structured risk-management frameworks (9.1%), including assembly sequencing and tolerance planning; and digital and data-driven technologies (51.9%), such as laser scanning, AI-based inspection, and digital twins, enabling proactive quality assurance across the lifecycle. The study proposes an integrated lifecycle–defect–mitigation framework to strengthen quality governance and advance sustainable modular delivery.","url":"https://doi.org/10.3390/su18084000","authors":["Argaw Gurmu","Fatemeh Fallah Tafti","Anthony Mills","John Kite"],"tags":["Modular design","Process management","Rework","Engineering","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-17","doi":"https://doi.org/10.3390/su18084000","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7127176751","name":"Living Materials: Preserving Student Innovation in Art and Science through Digital Twins and AI in Partnership with Qatar National Library : What Happens To Your Work After You Graduate?","source":"openalex","abstract":"Presentation was part of the Karak Hour Workshop at the Virginia Commonwealth University School of the Arts in Qatar (VCUarts), Doha (Qatar) – 14th of January 2026.This presentation documents a Manara – Qatar Research Repository a Qatar National Library outreach and training session delivered to Virginia Commonwealth University School of the Arts in Qatar (VCUarts) and Hamad Bin Khalifa University (HBKU) students as part of the Living Materials : Preserving Student Innovation in Art and Science Through Digital Twins and AI in Partnership with Qatar National Library, funded under the Qatar Research, Development, and Innovation Council (QRDI) Multiversity Grants Programme (2025-2026).The session addresses a critical but often overlooked question facing graduating students: what happens to creative and research work after graduation? Drawing on real-world examples from art, design, and engineering education, the presentation explores how student projects – particularly material-based, practice-led, and process-driven work are frequently lost due to physical disposal, fragile storage practices, platform dependency, and digital obsolescence.The presentation introduces key concepts in long-term digital curation, including the value of preserving process data alongside final outputs, the limitations of commercial cloud storage, and the role of trusted research repositories in ensuring long-term access, attribution, and reuse. It highlights Manara – Qatar Research Repository, as a platform that enables students to publish creative and research outputs with persistent identifiers (DOIs), appropriate licensing, and active digital preservation supported by Qatar National Library.Through practical guidance on file organisation, copyright and licensing, discoverability, and research visibility, the session demonstrates how students can take control of their digital legacy, enhance employability, and contribute to Qatar’s national knowledge infrastructure. The presentation also situates student work within a broader global research ecosystem, emphasizing citability, verification, and long-term impact in an era increasingly shaped by AI-generated content.This resource is intended for students, educators, librarians, and institutions interested in sustainable models for preserving student innovation, practice-led research, and interdisciplinary creative outputs.Other InformationLicense: http://creativecommons.org/licenses/by/4.0/ See Qatar Research, Development, and Innovation Council (QRDI-C) – Qatar Foundation (QF): Multiversity Grant Project 2025-2026 information on the funder's website: https://www.qf.org.qa/stories/ideas-united-qatar-foundations-multiversity-grants-drive-cross-university","url":"https://doi.org/10.57945/manara.qnl.31122955.v1","authors":["Arif Shaon","Ya'qub Ebrahim","Jennifer Zamora Cantor","Alenka Blatnik"],"tags":["Presentation (obstetrics)","General partnership","Commonwealth","Session (web analytics)","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-14","doi":"https://doi.org/10.57945/manara.qnl.31122955.v1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4401840038","name":"ADVANCING SYSTEMS OBSERVABILITY THROUGH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE ANALYSIS","source":"openalex","abstract":"Artificial Intelligence (AI) is revolutionizing systems observability by enhancing the ability to monitor, analyze, and optimize the performance and health of complex systems.This paper explores how AI integrates into observability practices, providing advanced capabilities such as anomaly detection, root cause analysis, predictive maintenance, and automated remediation.AI-driven observability leverages machine learning to sift through vast amounts of metrics, logs, and traces, identifying patterns and correlations that would be challenging to discern manually.By implementing AI, organizations can achieve more proactive and efficient system management, ensuring higher reliability, faster issue resolution, and improved overall performance.The adoption of AI in systems observability marks a significant advancement in maintaining robust and resilient digital infrastructure, ultimately supporting more seamless and dependable user experiences.","url":"https://doi.org/10.56726/irjmets60598","authors":[],"tags":["Observability","Artificial intelligence","Computer science","Mathematics","Applied mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-24","doi":"https://doi.org/10.56726/irjmets60598","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7135216969","name":"Intelligent traffic organization for sea ports: Fusing multi-source data for resource allocation and scheduling","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2026.124972","authors":["Yang Liu","Yang Liu","Jingxian Liu","Jingxian Liu","Qian Zhang","Yi Liu","Yi Liu","Lichao Yang","Lichao Yang"],"tags":["Scheduling (production processes)","Computer science","Resource allocation","Real-time computing","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-14","doi":"https://doi.org/10.1016/j.oceaneng.2026.124972","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7203492511","name":"Digital modeling of production processes based on Digital Twin technology in the conditions of transition to Industry 5.0","source":"openalex","abstract":"The digital transformation of industry, which is taking place in the context of the transition to the Industry 5.0 concept, highlights the need to implement modern digital technologies to increase the efficiency of production processes. One of the most promising digitalization tools is Digital Twin technology, which ensures the integration of physical and virtual production systems, creates the prerequisites for forecasting, optimizing production and supporting management decision-making. The purpose of the study is to substantiate the comprehensive application of digital modeling of production processes using Digital Twin technology in combination with Internet of Things, artificial intelligence, Big Data and corporate information systems ERP and MES to increase the efficiency of industrial enterprises in the context of the implementation of the Industry 5.0 concept. The work uses the methods of system analysis, generalization, comparative analysis, structural and logical modeling, analysis of scientific sources, as well as conceptual modeling of digital production systems. It has been established that the digitalization of production is based on the integrated use of Internet of Things technologies, cloud computing, big data, artificial intelligence, digital twins, robotic automation, modern information management systems and other digital solutions, the synergistic combination of which forms an integrated digital production environment. The use of Digital Twin technology provides real-time modeling of production processes, forecasting the technical condition of equipment, optimizing the use of production resources, reducing production costs, minimizing downtime, increasing productivity, product quality, flexibility and adaptability of production systems. A conceptual model of digital modeling of production processes based on Digital Twin technology has been substantiated, which integrates physical production, digital infrastructure of the enterprise, corporate information systems ERP, MES, WMS, APS, Internet of Things technologies, Big Data, artificial intelligence and a management decision support system, ensuring comprehensive optimization of the functioning of production enterprises. The integrated use of Digital Twin technology in combination with modern digital technologies creates a technological foundation for implementing the principles of Industry 5.0, increasing the efficiency of production processes, the competitiveness of industrial enterprises, their innovative development, resource efficiency, and sustainable operation.","url":"https://doi.org/10.66556/2663-0117.50.lipych-l","authors":["Lubоv Lipych","Оксана Хілуха","Myroslаvа Kushnіr","Liubov Lipych","Oksana Khilukha","Myroslava Kushnir"],"tags":["Industry 4.0","Flexibility (engineering)","Production (economics)","Context (archaeology)","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.66556/2663-0117.50.lipych-l","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3034241002","name":"Microstructure and corrosion behaviors of AZ63 magnesium alloy fabricated by accumulative roll bonding process","source":"openalex","abstract":"Abstract AZ63 magnesium alloy sheets were fabricated by accumulative roll bonding (ARB) process at 350 °C up to 5 cycles. The aim of this work is to study the effect of ARB process on the microstructure and corrosion behavior of AZ63 magnesium alloy. The ARBed sheets were investigated via microstructure observations, electrochemical tests, hydrogen evolution measurements and immersion tests. After ARB process, the average grain size decreased. The coarse Mg17Al12 phase was broken under the action of rolling force and it distributed more dispersed in the magnesium matrix. The corrosion resistance of samples increased significantly with increasing the number of ARB cycles. The influence of microstructure on the corrosion behaviors was discussed. Fine grain produced more passive oxide layers which acted as a corrosion barrier. The Mg17Al12 phase acted primarily as a micro-galvanic cathode during the corrosion process because of its low volume fraction and isolated distribution. The volume fraction of Mg17Al12 phase decreased after ARB process, which results in the reduction of the effect of galvanic corrosion.","url":"https://doi.org/10.1088/2053-1591/ab9c61","authors":["Yanbo Pei","Yunwei Gui","Tao Huang","Fuxiao Chen","Junqing Guo","Shiyu Zhong","Zhuo Song"],"tags":["Microstructure","Accumulative roll bonding","Materials science","Corrosion","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-01","doi":"https://doi.org/10.1088/2053-1591/ab9c61","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7105693022","name":"Blue-Cloud 2026 Third Federation Workshop","source":"openalex","abstract":"Blue-Cloud partners and collaborators gathered in Brussels from 5 to 7 November 2025 for a three-day series of strategic and technical sessions, anchored by the Third Federation Workshop. The event took place just after the EOSC Symposium, as Blue-Cloud is supporting the creation of a Thematic Node within the EOSC Federation under the name \"EOSC Node Digital Twin of the Ocean\". On 5th November afternoon, the event counted with two hands-on sessions exploring the EOSC Marine Node core and thematic services and cross-node use cases. These interactive demonstrations offered participants a closer look at the technical developments powering Blue-Cloud’s federated services. On 6th November, the Third Federation Workshop brought together project partners, EOSC stakeholders, and Synergy Projects for a full day of in-depth discussion and exchange. The agenda featured an opening overview of key takeaways from the EOSC Symposium, followed by a sequence of panel discussions covering core services, the connection between EOSC and EDITO, the practical challenges of building a federated approach, and capacity-building efforts. Official event page: https://blue-cloud.org/events/blue-cloud-2026-third-federation-workshop","url":"https://doi.org/10.5281/zenodo.17598617","authors":["Pittonet Gaiarin, Sara","Meijer, Jan","Wyns, Roxanne","Reyes Suarez, Nydia Catalina","Palermo, Francesco","SIMONCELLI, Simona","Nascimento Vitorino, João","Mieruch, Sebastian","Barde, Julien","Pagano, Pasquale","Assante, Massimiliano","Kooyman, Robin","Tedds, Jonathan","PESANT, Stéphane","Wichorowski, Marcin","Rizzo, Alessandro","BODERE, Erwan","Delaney, Conor","Tonani, Marina","Vera, Julia","Fooks, Samuel","Costa, Valentina","Irisson, Jean-Olivier","Vernet, Marine","Dechenne, Abel","Eparkhina, Dina","Caccavale, Mauro","Sarretta, Alessandro","Janssens, Laurence","Sharma, Shreshtha"],"tags":["Event (particle physics)","Political science","Library science","Node (physics)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-13","doi":"https://doi.org/10.5281/zenodo.17598617","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7166714346","name":"Digital Twin Technology for Structural Lifecycle Management and Health Monitoring","source":"openalex","abstract":"Digital twin (DT) technology is reshaping structural engineering by linking physical assets to dynamic and data-driven virtual counterparts. DTs enable monitoring, predictive analytics, and autonomous decisions across design, construction, operation, and maintenance. Additionally, DTs are updated with real-time streams continuously. This study focuses on the applications of DTs and the intersection between the Internet of Things (IoT), Building Information Modeling (BIM), and artificial intelligence (AI). Applications include structural health monitoring (SHM) and predictive maintenance for bridges and buildings, in addition to construction safety optimization and stewardship of architectural heritage. The paper also examines barriers to adoption, including data interoperability, cybersecurity, upfront cost, and workforce readiness, and discusses standardization needs. In addition, it highlights educational impacts and pathways for small and medium enterprises (SMEs) to adopt scalable DT solutions. By consolidating recent advances, the review shows how DTs can deliver more resilient, efficient, sustainable, and intelligent infrastructure and outlines the research priorities to overcome remaining gaps and fully realize their potential.","url":"https://doi.org/10.3390/app16136524","authors":["Alaa El-Sisi","John Cabage","Elsayed Salem"],"tags":["Systems engineering","Computer science","Standardization","Risk analysis (engineering)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.3390/app16136524","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4221128127","name":"Inkjet Printing: A Viable Technology for Biosensor Fabrication","source":"openalex","abstract":"Printing technology promises a viable solution for the low-cost, rapid, flexible, and mass fabrication of biosensors. Among the vast number of printing techniques, screen printing and inkjet printing have been widely adopted for the fabrication of biosensors. Screen printing provides ease of operation and rapid processing; however, it is bound by the effects of viscous inks, high material waste, and the requirement for masks, to name a few. Inkjet printing, on the other hand, is well suited for mass fabrication that takes advantage of computer-aided design software for pattern modifications. Furthermore, being drop-on-demand, it prevents precious material waste and offers high-resolution patterning. To exploit the features of inkjet printing technology, scientists have been keen to use it for the development of biosensors since 1988. A vast number of fully and partially inkjet-printed biosensors have been developed ever since. This study presents a short introduction on the printing technology used for biosensor fabrication in general, and a brief review of the recent reports related to virus, enzymatic, and non-enzymatic biosensor fabrication, via inkjet printing technology in particular.","url":"https://doi.org/10.3390/chemosensors10030103","authors":["Arif Hussain","Naseem Abbas","Ahsan Ali"],"tags":["Biosensor","Fabrication","Nanotechnology","Inkjet printing","3D printing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-09","doi":"https://doi.org/10.3390/chemosensors10030103","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7163822275","name":"The Governability Landscape of Autonomous Systems 2026: An Industry Baseline for Robotics, Physical AI, and Runtime Governance","source":"openalex","abstract":"This paper provides a landscape assessment of governability across the autonomous systems industry in 2026. The analysis reviews publicly observable positioning, research priorities, technology roadmaps, and communication themes across leading organizations active in robotics, Physical AI, autonomous systems, industrial automation, digital twins, and frontier artificial intelligence. Organizations examined include NVIDIA, Google DeepMind, OpenAI, Anthropic, Tesla, Figure, Physical Intelligence, Agility Robotics, Sanctuary AI, Boston Dynamics, Siemens, Dassault Systèmes, Hexagon, and NEURA Robotics. The assessment identifies a strong industry-wide emphasis on capability development, foundation models, world models, simulation, embodied intelligence, deployment, and scaling. In contrast, governability-related concepts such as runtime governability, operational legitimacy, certification continuity, governance infrastructure, and ecosystem-scale controllability appear comparatively rare as publicly communicated strategic categories. The paper introduces the concept of the Governability Landscape and documents the publicly observable state of industry priorities as of June 2026. Rather than proposing a new technical architecture, the paper serves as a historical baseline intended to support future research on governability, autonomous systems assurance, runtime governance, and governance infrastructure. Keywords: Governability, Autonomous Systems, Physical AI, Robotics, Runtime Governance, Governance Infrastructure, Autonomous Ecosystems, Digital Twins, Foundation Models, Industrial AI, Certification Continuity","url":"https://doi.org/10.5281/zenodo.20583554","authors":["Andreas Blumer"],"tags":["Baseline (sea)","Certification","Corporate governance","Foundation (evidence)","Agency (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-07","doi":"https://doi.org/10.5281/zenodo.20583554","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7128532719","name":"Digital Twin based Visualization Framework for Computer System Monitoring","source":"openalex","abstract":"ABSTRACT Digital Twins are increasingly adopted to enhance system understanding, monitoring, and decision-making across various domains. However, many existing approaches focus on large-scale industrial systems, making them complex and unsuitable for early-stage academic or educational environments. This paper presents a simplified Digital Twin– based visualization framework for monitoring a computer system within an academic laboratory context. The proposed approach integrates a 3D virtual model with live system performance data to provide intuitive visualization and basic monitoring capabilities. The framework demonstrates how Digital Twin concepts can be introduced at a small scale, serving as a foundation for future real-time and large- scale implementations.","url":"https://doi.org/10.55041/ijsrem56424","authors":["Harieesh Ramesh","Dr Brindha S","M Divya","Kalaiventhan S","Srinath JK","Rupeshwar V","Ganesh Priyan S"],"tags":["Visualization","Computer science","Focus (optics)","Data visualization","Information visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.55041/ijsrem56424","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166672955","name":"Industrial and Manufacturing Generative AI: Bibliographic, Keyword, and Thematic Dataset (2022–2026)","source":"openalex","abstract":"This second dataset version contains the data used for a PRISMA-guided bibliometric and abstract-level thematic review of applications of Generative Artificial Intelligence (GAI) in manufacturing and industrial contexts. Searches of Scopus, Web of Science, and the ACM Digital Library identified 492 records published between 2022 and 4 June 2026. After removing 119 duplicates, 373 records were screened, of which 121 were excluded, resulting in a final corpus of 252 peer-reviewed academic sources. The retained studies address learned generative models and their applications in generative design, large language models, diffusion models, generative adversarial networks, foundation models, retrieval-augmented generation, knowledge graphs, electronic design automation, additive manufacturing, materials discovery, smart manufacturing, robotics, digital twins, and human–AI collaboration.","url":"https://doi.org/10.17632/nrssr637h3","authors":["Galina Ilieva","Yuliy Iliev"],"tags":["Thematic map","Generative grammar","Computer science","Information retrieval","Coding (social sciences)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.17632/nrssr637h3","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7158422375","name":"System-aware contextual digital twin for ICS anomaly diagnosis","source":"openalex","abstract":"Industrial Control Systems (ICS) integrate computing, physical processes, and communication to operate critical infrastructures such as power grids, water treatment plants, and oil and gas facilities. As ICS become increasingly targeted by cyberattacks, timely and reliable anomaly diagnosis is essential for protecting operational safety. However, existing ICS anomaly detection approaches face practical limitations: supervised methods require extensive labeled attack data and suffer from class imbalance, while model-based detectors often lack the ability to provide deep insight into the root causes of anomalies, leading to elevated false alarms and making it difficult for operators to initiate a timely response. In this work, we propose a system-aware unsupervised framework for ICS anomaly diagnosis that combines lightweight online detection with contextual explanation. The system identifies deviations from observed normal behaviors without prior knowledge of system topology. To support actionable response, we further concatenate a contextual digital twin augmented with an Large Language Model (LLM) to enhance interpretability, which translates detection evidence into grounded diagnostic hypotheses and verification steps for operators. Experiments on public ICS benchmarks demonstrate that the proposed framework achieves real-time detection efficiency and provides consistent, interpretable anomaly diagnoses, enabling low-latency warning and practical deployment in complex industrial environments.","url":"https://openalex.org/W7158422375","authors":["Eungyu Woo","Yooshin Kim","Wonje Heo","Donghoon Shin"],"tags":["Anomaly detection","Computer science","Software deployment","Root cause analysis","Root cause"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-27","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3164613183","name":"Introducing synchromodality: One missing link between transportation and supply chain management","source":"openalex","abstract":"Abstract This study develops and tests the synchromodality construct, a novel supply chain concept that integrates the flexible use of different transport modes based on real‐time information. At a time when global supply chains are complex and subject to uncertainty, synchromodality has emerged at the forefront of research and practice as a tool to ensure efficient delivery performance and thus supply chain competitiveness. Despite synchromodality is attracting the attention of leading companies and policy makers, only scholars within the transport research community have engaged with the topic so far. We believe a supply chain management perspective is missing, but essential, to develop the full potential of synchromodality. Our study shows that synchromodality capabilities encapsulate four key elements: visibility , integration , multi ‐ modal transport , and flexibility . Thanks to a three‐stage research approach exploiting multiple methods, this study conceptualizes, develops, and validates the first synchromodality measurement model, which reflects the multidimensional nature of the concept. We hope to set the stage for a number of potential future research opportunities that can explore synchromodality implementation and outcomes.","url":"https://doi.org/10.1111/jscm.12269","authors":["Beatriz Acero","María Jesús Sáenz","Davide Luzzini"],"tags":["Supply chain","Flexibility (engineering)","Construct (python library)","Supply chain management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-24","doi":"https://doi.org/10.1111/jscm.12269","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W2942506930","name":"State of smart cities in UK and beyond","source":"openalex","abstract":"The smart city movement has been growing internationally, but it will take another couple of decades for smart cities to realise their game‐changing potential. At that point, empowered by data, a political tipping point will begin, giving cities around the world an exalted role in the leadership of society, creating the ‘century of the city’. This study reviews progress in the UK using the four foundations of smart cities: information and communication technology; data; governance; and citizen engagement, and what to look out for in the next two decades.","url":"https://doi.org/10.1049/iet-smc.2019.0024","authors":["Paul E. Wilson"],"tags":["Smart city","Corporate governance","State (computer science)","Politics","Tipping point (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-02","doi":"https://doi.org/10.1049/iet-smc.2019.0024","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7169690297","name":"ML Framework for Positioning Optimization in Robotic AM Using Digital Twin-Based Digital Assets","source":"openalex","abstract":"","url":"https://openalex.org/W7169690297","authors":["Pradnil Kamble"],"tags":["Degrees of freedom (physics and chemistry)","Process (computing)","Computer science","Orientation (vector space)","Robotic arm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-28","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7172381300","name":"A Multi-Dimensional Digital Twin Framework for the Low-Altitude Economy","source":"openalex","abstract":"Abstract. The Low-Altitude Economy (LAE), driven by the widespread deployment of UAVs and eVTOL aircraft, demands a high-fidelity Digital Twin that extends far beyond static geographic representation. This study presents a critical review of 39 peer-reviewed papers to propose a three-layer mapping framework — Geospatial Infrastructure Layer, Environmental Sensing Layer, and Interaction Layer — and evaluates the Technology Readiness Level (TRL) of each sub-domain. The Geospatial Infrastructure Layer encompasses terrain models, ground facilities, airspace structures, and semantic navigation landmarks. The Environmental Sensing Layer covers electromagnetic modeling, target sensing and countermeasure, and micro-meteorological mapping. The Interaction Layer addresses network trust, data security, swarm coordination, and platform reliability. Our TRL assessment reveals that Environmental Sensing is the most mature layer (mean TRL 4.4, 8 field-validated papers), while cross-layer integration remains the weakest link (mean TRL 3.5, zero field-validated demonstrations). We identify standardization of low-altitude spatial data products, AI-enabled predictive mapping, crowdsourced Digital Twin updating, and closed-loop cross-layer integration as the four priority research directions.","url":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-391-2026","authors":["Yan Li","Chenming Ye","Wenxuan Shi","Wenqing Zhang","Yuyang Zhang","Teng Hu","Zhizhong Kang"],"tags":["Geospatial analysis","Software deployment","Standardization","Layer (electronics)","Data access layer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-04","doi":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-391-2026","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W3119761357","name":"Effects of salinity, organic acids and alkalinity on the growth of calcite spherulites: Implications for evaporitic lacustrine sedimentation","source":"openalex","abstract":"Abstract Lacustrine non‐skeletal carbonates exhibit a diversity of petrographies due to interactions between physico‐chemical and biologically influenced mechanisms. Despite the suggestion that evaporative concentration was involved in the formation of spherulite and shrubby‐bearing carbonate successions in the Pre‐Salt Cretaceous alkaline lakes of the South Atlantic, no consensus exists about the water chemistries promoting these exotic mineral textures. In this work, an experimental approach was developed to evaluate how changes in salinity (NaCl) and biopolymer concentrations (alginic acid) impact calcite growth dynamics from saline and alkaline synthetic solutions. Hydrochemical and petrographical data from selected modern saline/alkaline environments were compared with experimental datasets to further estimate how the underlying (bio)chemical conditions and lake locations probably converge to allow the formation of calcite spherulite grains in evaporitic settings. Spherulitic calcite from Recent saline lakes and experiments arise from waters with moderate to high [Calcium]/[Alkalinity] ratios ([Ca]/[Alk]) rather than in calcium‐depleted and alkaline‐rich environments which tend to produce single‐crystal calcites during abiotic water mixing or lake evaporation. This observation is consistent with the assembly of polycrystalline textures being a kinetically controlled feature, forced by remarkably high rates of nucleation. Also, the data analysed do not support a causative relationship between evaporite‐driven salinity fluctuations and the preferential formation of spherulites, shrubs or their intermediate textures. Ubiquitous in saline lakes, organic substances can lower the kinetic thresholds for spherulitic calcite aggregation while microbial photosynthesis can also raise pH, altogether enhancing calcite supersaturation and promoting spherulite formation in waters with moderate‐high [Ca]/[Alk] ratios and high salinities. Localised observations of abiotic spherulites in Recent soda lakes can occur in restricted mixing zones where [Ca]/[Alk] ratios are enhanced. This work highlights the roles of concentration regimes associated with biopolymers and microbial metabolism against the background salinity fluctuations in determining the morphological and textural transitions in lacustrine carbonate minerals.","url":"https://doi.org/10.1002/dep2.136","authors":["Ramon Mercedes‐Martín","Ashit Rao","Mike Rogerson","Mónica Sánchez‐Román"],"tags":["Calcite","Halite","Alkalinity","Geology","Salinity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-04","doi":"https://doi.org/10.1002/dep2.136","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7134925157","name":"Broadband multi-beam lens-assisted mmID enabling multi-gigabit backscatter data rates for next-generation wireless networks","source":"openalex","abstract":"Abstract The growth of next-generation Internet-of-Things (IoT) and digital-twin systems has created wireless environments where identification must sustain fiber-level data rates with low latency while operating at minimal energy cost and maintaining robust angular coverage. Conventional backscatter at microwave frequencies remains limited to megabit rates, and most millimeter-wave demonstrations operate with limited coverage. This work presents a lens-assisted millimeter-wave identification (mmID) system that unites multi-gigabit connectivity with wide solid-angle coverage. The design integrates a cross-polarized broadband antenna array with a dielectric lens, enabling multi-beam operation with angle-dependent modulation across ± 55° and a peak differential radar cross section of -13.4 dBsm. Demonstrated backscatter performance includes 4 Gbps 32-QAM at 5 m with an energy cost of 0.08 pJ bit −1 and 1 Gbps operation over 20 m. Link-budget analysis projects 1 Gbps backscatter ranges up to 2.6 km under the 75 dBm EIRP permitted in 5G millimeter-wave systems, establishing an energy-efficient pathway for high-capacity, long-range wireless identification.","url":"https://doi.org/10.1038/s41467-026-70454-8","authors":["Marvin Joshi","Charles A. Lynch","Kexin Hu","Yaw A. Mensah","John D. Cressler","Manos M. Tentzeris"],"tags":["Megabit","Broadband","Wireless","Backscatter (email)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.1038/s41467-026-70454-8","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W1480916284","name":"Physical activity in children measured by accelerometry: stability over time","source":"openalex","abstract":"The aim of this study was to examine the stability of objectively measured physical activity in Swedish children and to study variables that predicted physical activity and body mass index standard deviation score (BMI SDS) at follow-up. A total of 97 children provided valid repeated measurements of physical activity between 2002 and 2005. The children were on average 7.5 years at baseline (SD+/-0.92) and 9 years at follow-up (SD+/-0.92). The mean follow-up time was approximately 1.5 years (mean 558 days, SD+/-224). An accelerometer (Actiwatch, Cambridge Neurotechnology Ltd., Cambridge, UK) was used to measure physical activity during 7 consecutive days. Yearly weight and height were examined and BMI SDS was calculated. Baseline physical activity was significantly correlated with physical activity at follow-up (r=0.59) with a stronger correlation for boys (r=0.72) than for girls (r=0.51). High physical activity levels were more stable (r=0.74) than low physical activity levels (r=0.55). Physical activity at follow-up was explained by physical activity at baseline and season (R(2)=0.46) whereas BMI SDS at follow-up was explained by BMI SDS at baseline and age (R(2)=0.90). The results of this study suggest that physical activity levels are fairly stable in 6-10-year-old children.","url":"https://doi.org/10.1111/j.1600-0838.2007.00756.x","authors":["Gisela Nyberg","Ulf Ekelund","Claude Marcus"],"tags":["Accelerometer","Physical activity","Medicine","Physical medicine and rehabilitation","Stability (learning theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2009-01-28","doi":"https://doi.org/10.1111/j.1600-0838.2007.00756.x","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7167726116","name":"Algorithmic Models for Enabling Self-Learning in Cognitive Digital Twins","source":"openalex","abstract":"This​‍​‌‍​‍‌​‍​‌‍​‍‌ work explores a detailed deliberation on how Cognitive Digital Twins (CDTs) might be furnished with self-learning capabilities via Reinforcement Learning (RL). The main idea of the proposal is that an RL-based adaptation can substantially improve a CDT’s ability to quickly make decisions, detect anomalies at the early stages, and get along with changing operational conditions without any human intervention. In order to test this out, a bespoke simulation environment for the CDT was created, which also includes the continuous data streams from the artificially generated industrial IoT datasets and selectively embedded real-time sensor logs. Several​‍​‌‍​‍‌​‍​‌‍​‍‌ RL techniques—Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), and cooperative multi-Agent RL models—were compared in the study by inserting these methods into adaptive learning loops of the twin-based architecture. Performance metrics- response time, anomaly detection accuracy, convergence stability, scalability under load, and computational overhead were used to measure the performance. The result is that hybrid RL frameworks bring considerable benefits to single-model solutions, hence they can show faster decision cycles and more accurate anomaly ​‍​‌‍​‍‌​‍​‌‍​‍‌forecasting. Apart from these results, the paper also brings up interpretability, multi-agent interactions, and real-time responsiveness in resource-constrained environments as some of the issues that still remain unsolved.","url":"https://doi.org/10.1016/j.procs.2026.06.034","authors":["Shashank Chauhan","Abhilasha Singh"],"tags":["Computer science","Reinforcement learning","Scalability","Bespoke","Anomaly detection"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1016/j.procs.2026.06.034","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7154474231","name":"Pathways to social–ecological indicators in the era of Digital Twins of the Earth","source":"openalex","abstract":"Effective ecosystem-based management strategies that prevent further degradation of the ecosystem state and negative impacts on societies are needed but require cross-disciplinary and complex understandings of social–ecological systems (SES). This study defines, evaluates, and operationalises the concept of social–ecological (SE) indicators using the butterfly model based on the DAPSI(W)R(M) framework, linking drivers, activities, pressures, state changes, impacts on human welfare, and responses as measures. A review of 148 indicators developed under the marine strategy framework directive (MSFD), including contributions from HELCOM, OSPAR, the European Environment Agency, and marine-relevant UN sustainable development goals (SDGs), was conducted. Indicators were assessed across four key dimensions: mapping along the DAPSI(W)R(M) cause-effect chain; indicator complexity; normative basis; and the relationship between the indicator and its indicandum. Based on the analysis and a literature study, an SE indicator definition was developed requiring SE indicators to be compound or explicitly connect the ecological and social dimensions. Only nine of the analysed indicators qualify as SE indicators by making traceable connexions across both dimensions of the butterfly model. Existing compound indices, such as the ocean health index (OHI) and its regional adaptation, the Baltic health index (BHI), illustrate how nested, goal-oriented indices can operationalise SE integration while also highlighting challenges related to transparency and aggregation due to their nested nature. Pathways for adapting existing non-SE indicators into SE indicators are outlined, drawing on ongoing work in the SEADITO project (2024–2027) that develops SE modelling tools for the European Digital Twin of the Ocean (EU DTO). To enable compound SE indicators and support implementation within emerging digital twins of the earth, such as the EU DTO, additional criteria for SE indicators are proposed, consisting of the addition of crosscutting interlinkages and digital readiness, respectively, in addition to existing criteria of measurability, sensitivity, specificity, scalability, transferability, and precision. By clarifying what makes an indicator SE and identifying concrete development pathways, this study advances the methodological foundation for integrating SES analysis into marine spatial planning and ecosystem-based management in an era in which digital twins of the earth are accelerating the digital infrastructure for SES.","url":"https://doi.org/10.3389/focsu.2026.1767068","authors":["Aurelija Armoškaitė","Ida Maria Bonnevie","Daniel Depellegrin","Alejandra G. Cabanillas","Giulia Bellon","Erasmia Kastanidi","Maik Neukirch","Miriam von Thenen","Astrid Sanchez Jimenez","Lise Schrøder","Juliana Socrate","Solvita Strāķe"],"tags":["Marine Strategy Framework Directive","Environmental resource management","Water Framework Directive","Earth system science","Normative"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-15","doi":"https://doi.org/10.3389/focsu.2026.1767068","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7127118254","name":"Living Materials: Preserving Student Innovation in Art and Science through Digital Twins and AI in Partnership with Qatar National Library : What Happens To Your Work After You Graduate?","source":"openalex","abstract":"Presentation was part of the Karak Hour Workshop at the Virginia Commonwealth University School of the Arts in Qatar (VCUarts), Doha (Qatar) – 14th of January 2026.This presentation documents a Manara – Qatar Research Repository a Qatar National Library outreach and training session delivered to Virginia Commonwealth University School of the Arts in Qatar (VCUarts) and Hamad Bin Khalifa University (HBKU) students as part of the Living Materials : Preserving Student Innovation in Art and Science Through Digital Twins and AI in Partnership with Qatar National Library, funded under the Qatar Research, Development, and Innovation Council (QRDI) Multiversity Grants Programme (2025-2026).The session addresses a critical but often overlooked question facing graduating students: what happens to creative and research work after graduation? Drawing on real-world examples from art, design, and engineering education, the presentation explores how student projects – particularly material-based, practice-led, and process-driven work are frequently lost due to physical disposal, fragile storage practices, platform dependency, and digital obsolescence.The presentation introduces key concepts in long-term digital curation, including the value of preserving process data alongside final outputs, the limitations of commercial cloud storage, and the role of trusted research repositories in ensuring long-term access, attribution, and reuse. It highlights Manara – Qatar Research Repository, as a platform that enables students to publish creative and research outputs with persistent identifiers (DOIs), appropriate licensing, and active digital preservation supported by Qatar National Library.Through practical guidance on file organisation, copyright and licensing, discoverability, and research visibility, the session demonstrates how students can take control of their digital legacy, enhance employability, and contribute to Qatar’s national knowledge infrastructure. The presentation also situates student work within a broader global research ecosystem, emphasizing citability, verification, and long-term impact in an era increasingly shaped by AI-generated content.This resource is intended for students, educators, librarians, and institutions interested in sustainable models for preserving student innovation, practice-led research, and interdisciplinary creative outputs.Other InformationLicense: http://creativecommons.org/licenses/by/4.0/ See Qatar Research, Development, and Innovation Council (QRDI-C) – Qatar Foundation (QF): Multiversity Grant Project 2025-2026 information on the funder's website: https://www.qf.org.qa/stories/ideas-united-qatar-foundations-multiversity-grants-drive-cross-university","url":"https://doi.org/10.57945/manara.qnl.31122955","authors":["Arif Shaon","Ya'qub Ebrahim","Jennifer Zamora Cantor","Alenka Blatnik"],"tags":["Presentation (obstetrics)","General partnership","Commonwealth","Session (web analytics)","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-14","doi":"https://doi.org/10.57945/manara.qnl.31122955","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7141496497","name":"Relationships between three-dimensional fibrosis distribution, atrial adiposity, and voltage abnormalities associated with persistent atrial fibrillation","source":"openalex","abstract":"AIMS: Persistent atrial fibrillation (PsAF) is often refractory to pulmonary vein isolation, a well-established AF treatment, owing to the fibrosis-remodelled substrates sustaining re-entries. Three-dimensional fibrosis distribution and atrial adiposity have been found to be essential contributors to PsAF arrhythmogenesis. We aimed to utilize late gadolinium enhancement (LGE)-MRI-derived personalized heart digital twins (DTs)-a recent promising tool for non-invasively assessing patient arrhythmogenesis-as well as contrast-enhanced cardiac computed tomography (CCT) images and electroanatomic maps (EAMs) to investigate relationships between fibrosis distribution, including endo-epi differences, adiposity infiltration, and electrophysiological abnormalities, and their influence on PsAF arrhythmogenic substrate. METHODS AND RESULTS: Digital twins incorporating fibrosis distribution were generated from consecutive PsAF patients' LGE-MRIs. Using rapid pacing, potential locations attracting re-entries (LRs) were identified in DTs. Cardiac computed tomographies were used to segment adipose tissue within pericardial sac and evaluate the distance from endocardial surface to closest adipose tissue (DEnCA). Bipolar and unipolar-low-voltage area fractions (LVFs) were extracted from EAMs. Volumetric-fibrosis fraction (FF) and surface-FF on endocardial and epicardial surfaces at LRs and non-LRs were analysed in relation to DEnCA and LVF. In 22 patients, adipose tissue volume correlated with BMI and CHA2DS2-VASc and, together with atrial-FF, predicted number of LRs. At LRs and non-LRs, while volumetric-FF was the sole determinant of LR classification, volumetric-FF correlated with endocardium-predominant fibrosis and bipolar LVF. Endocardium-predominant fibrosis was independently linked to DEnCA. CONCLUSION: This study highlights the complex interactions between structural features, such as three-dimensional fibrosis distribution and atrial adiposity infiltration, electrophysiological features, and PsAF arrhythmogenesis.","url":"https://doi.org/10.1093/europace/euag060","authors":["Kensuke Sakata","Adityo Prakosa","Carolyna A P Yamamoto","Syed Yusuf Ali","Yazan Mohsen","Shane Loeffler","Eugene G Kholmovski","J. E. Marine","Hugh Calkins","David Spragg","N Trayanova"],"tags":["Atrial fibrillation","Medicine","Fibrosis","Cardiology","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-26","doi":"https://doi.org/10.1093/europace/euag060","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4405443374","name":"Artificial Intelligence and tourism","source":"openalex","abstract":"The G7/OECD policy paper on Artificial Intelligence and tourism highlights the potential to harness AI as a tool to promote innovation and the sustainable development of tourism. It discusses the opportunities and risks AI brings, and what this means for tourists, businesses, destinations and governments. Key policy issues are identified, including the need to: i) put in place robust data and consumer protection measures as AI is used to create personalised tourist experiences; ii) monitor the impact on tourism jobs and protect and prepare workers, as AI used to improve operational efficiency; and iii) support tourism businesses, and SMEs in particular, to keep pace with rapid AI developments and comply with evolving legal and regulatory frameworks, while fostering a dynamic environment for innovation.","url":"https://doi.org/10.1787/3f9a4d8d-en","authors":["OECD"],"tags":["Tourism","Computer science","Artificial intelligence","Data science","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-16","doi":"https://doi.org/10.1787/3f9a4d8d-en","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4312219817","name":"Porous marine snow differentially benefits chemotactic, motile, and nonmotile bacteria","source":"openalex","abstract":"Particulate organic carbon settling through the marine water column is a key process that regulates the global climate by sequestering atmospheric carbon. The initial colonization of marine particles by heterotrophic bacteria represents the first step in recycling this carbon back to inorganic constituents-setting the magnitude of vertical carbon transport to the abyss. Here, we demonstrate experimentally using millifluidic devices that, although bacterial motility is essential for effective colonization of a particle leaking organic nutrients into the water column, chemotaxis specifically benefits at intermediate and higher settling velocities to navigate the particle boundary layer during the brief window of opportunity provided by a passing particle. We develop an individual-based model that simulates the encounter and attachment of bacterial cells with leaking marine particles to systematically evaluate the role of different parameters associated with bacterial run-and-tumble motility. We further use this model to explore the role of particle microstructure on the colonization efficiency of bacteria with different motility traits. We find that the porous microstructure facilitates additional colonization by chemotactic and motile bacteria, and fundamentally alters the way nonmotile cells interact with particles due to streamlines intersecting with the particle surface.","url":"https://doi.org/10.1093/pnasnexus/pgac311","authors":["Benedict Borer","Irene H. Zhang","Amy E. Baker","George A. O’Toole","Andrew R. Babbin"],"tags":["Chemotaxis","Bacteria","Marine snow","Snow","Marine bacteriophage"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-26","doi":"https://doi.org/10.1093/pnasnexus/pgac311","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7161308443","name":"Why health information technology safety problems remain invisible","source":"openalex","abstract":"This contrasts with many traditional clinical incidents, which tend to be temporally bounded and directly observable (14). A medication error, a procedural complication, or a diagnostic delay often presents as a discrete event with a relatively clear temporal relationship between action and outcome (15). Digital safety problems, by contrast, frequently unfold as processes rather than events. Data may be wrong, incomplete, delayed, or misleading, yet care continues, sometimes successfully, until a tipping point is reached (15)(16)(17).Crucially, invisibility is not accidental. It is a structural feature of how digital systems are designed, implemented, and used. Digital technologies reorganise work in ways that reduce the visibility of underlying processes while increasing reliance on system outputs. In doing so, they change not only how care is delivered, but how risk is perceived (18,19). The mechanisms through which digital safety risks remain invisible are summarised in Figure 1.For example, a delay in the propagation of laboratory results across interconnected systems may not be immediately visible to clinicians, particularly when interfaces present partial or cached data. Care may proceed without interruption, and only later, when clinical deterioration occurs, does the underlying data inconsistency become apparent (20,21). Such scenarios illustrate how digital risks unfold over time, often without clear signals at the point of care.The invisibility of digital safety risk arises from a set of interrelated mechanisms embedded in the design, use, and governance of health information technologies. As illustrated in Figure 1, five key mechanisms contribute to this phenomenon: automation and abstraction, fragmented information flows, adaptive workarounds, event-based incident reporting, and organisational assumptions of control. Each mechanism reduces the visibility of system behaviour in different but reinforcing ways.Automation plays a central role in making digital risk difficult to see. Automated functions remove tasks from direct human control, embedding assumptions about timing, accuracy, and relevance into system logic (22,23). While this can reduce workload and variability, it also obscures the conditions under which outputs are generated. Clinicians interact with results, alerts, and summaries, but have limited insight into how these artefacts are produced or what has been filtered out along the way (24,25).Interface design further amplifies this abstraction. Digital systems present simplified representations of complex clinical and technical states, prioritising usability and efficiency over transparency. Information is segmented across screens, systems, and workflows, making it difficult to develop a holistic understanding of what the system \"knows\" at any given moment. As a result, clinicians may trust system outputs even when those outputs are incomplete, outdated, or contextually inappropriate (26,27).When failures occur under these conditions, they often appear as surprises rather than as predictable outcomes of degraded system performance. The absence of visible warning signs reinforces the belief that systems are functioning correctly, delaying recognition of emerging hazards (6,28). This dynamic is closely related to automation bias, where users tend to over-rely on systemgenerated outputs while under-scrutinising underlying processes (8). As visibility into system functioning decreases, trust in outputs may increase, even when those outputs are based on incomplete or contextually inappropriate data.Fragmented information flows further contribute to the invisibility of digital risk. Clinical data are often distributed across multiple systems, interfaces, and workflows, each presenting only a partial view of the patient or process. As a result, no single actor has full visibility of the system state at any given time (29,30). Important discrepancies, such as missing, delayed, or conflicting information, may th","url":"https://doi.org/10.3389/fdgth.2026.1785141","authors":["Md Shafiqur Rahman Jabin"],"tags":["Invisibility","Digital health","Risk analysis (engineering)","Event (particle physics)","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-15","doi":"https://doi.org/10.3389/fdgth.2026.1785141","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7167934367","name":"Conceptualising value in public sector geospatial information for digital twins","source":"openalex","abstract":"Abstract. Digital twins (DTs) are digital representations of physical entities where data connections synchronise the physical and digital states at a specified frequency. While DTs originated in manufacturing and aerospace, they are increasingly applied at geographic scales addressing urban issues. As a result, DTs must utilise geospatial information (GI) to represent the built environment, though this is often an implicit aspect. Public sector geospatial information (PSGI), typically produced by National Mapping and Cadastral Agencies (NMCA) is a particular type of GI that serves as an authoritative, foundational component to geospatial applications. However, the value of this PSGI as foundation component of DTs is not well understood. Existing GI valuation methodologies do not account for the unique characteristics of foundational PSGI, or its role within DTs , leaving NMCAs unable to justify investment, and adapt their contributions, to emerging DTs. To address this gap, this study applies Jabareen’s (2009) conceptual framework analysis methodology to define what value means in the context of PSGI in DTs. The analysis identifies seven value enablers and five value dimensions that characterise PSGI value in DTs and provide the basis for future quantitative valuation methodologies. These concepts are integrated through an urban infrastructure DT example and synthesised through boundary case analysis. The resulting conceptual understanding enables NMCAs to systematically articulate and evidence their contributions to DTs.","url":"https://doi.org/10.5194/isprs-annals-xi-4-2026-331-2026","authors":["Jack Metcalfe","Claire Ellul","Stefano Cavazzi","Jantien Stoter","Jeremy Morley"],"tags":["Geospatial analysis","Valuation (finance)","Data science","Computer science","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"https://doi.org/10.5194/isprs-annals-xi-4-2026-331-2026","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7169837604","name":"Evolving circular pedagogy: a framework for immersive transdisciplinary learning","source":"openalex","abstract":"The contemporary world is undergoing profound socio-economic and environmental transformations that necessitate a radical re-evaluation of how we learn, teach, innovate and engage with research. Traditional educational models are increasingly insufficient to address the complexity of the twin transition (i.e. green and digital), in which countries need to identify the most effective strategies to advance the digital and green transformations necessary to support sustainable development. Educational systems and frameworks also need to respond to the United Nations 2030 Agenda for Sustainable Development and its three pillars: environment, society, and economy. This research study offers critical insights into the need to build an actionable framework that supports the development of innovative learning spaces and pedagogies within an Immersive Transdisciplinary Learning framework better attuned to the realities of contemporary society. We propose an innovative approach that integrates immersive technologies, transdisciplinary collaboration, and real-world applications to reshape knowledge exchange processes as the learning loop continues to evolve through the lens of Circular Pedagogy.","url":"https://doi.org/10.1080/14681366.2026.2700558","authors":["Lucía Morales","Valerie Hill","Lia Pop","Kārlis Valtiņš","John O’Connor","Daniel Rajmil","Intesar Madi","Abrar Alzankawi","Precious Nwanze","Anna Zherdeva","Murat Gülmez","Çağla Solak","Ivaylo Peev","Todor Todorov"],"tags":["Computer science","Sociology","Human–computer interaction","Knowledge management","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-21","doi":"https://doi.org/10.1080/14681366.2026.2700558","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7172326387","name":"Industrial and Manufacturing Generative AI: Bibliographic, Keyword, and Thematic Dataset (2022–2026)","source":"openalex","abstract":"This second dataset version contains the data used for a PRISMA-guided bibliometric and abstract-level thematic review of applications of Generative Artificial Intelligence (GAI) in manufacturing and industrial contexts. Searches of Scopus, Web of Science, and the ACM Digital Library identified 492 records published between 2022 and 4 June 2026. After removing 119 duplicates, 373 records were screened, of which 121 were excluded, resulting in a final corpus of 252 peer-reviewed academic sources. The retained studies address learned generative models and their applications in generative design, large language models, diffusion models, generative adversarial networks, foundation models, retrieval-augmented generation, knowledge graphs, electronic design automation, additive manufacturing, materials discovery, smart manufacturing, robotics, digital twins, and human–AI collaboration.","url":"https://doi.org/10.17632/nrssr637h3.2","authors":["Galina Ilieva","Yuliy Iliev"],"tags":["Generative grammar","Thematic map","Computer science","Artificial intelligence","Generative Design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.17632/nrssr637h3.2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4414512160","name":"Agroforestry as a Resource for Resilience in the Technological Era: The Case of Ukraine","source":"openalex","abstract":"Climate change is intensifying droughts, heatwaves, dust storms, and rainfall variability across Eastern Europe, undermining yields and soil stability. In Ukraine, decades of underinvestment and wartime damage have led to widespread degradation of field shelterbelts, while the adoption of agroforestry remains constrained by tenure ambiguity, fragmented responsibilities, and limited access to finance. This study develops a policy-and-technology framework to restore agroforestry at scale under severe fiscal and institutional constraints. We apply a three-stage approach: (i) a national baseline (post-1991 legislation, statistics) to diagnose the biophysical and legal drivers of shelterbelt decline, including wartime damage; (ii) a comparative synthesis of international support models (governance, incentives, finance); and (iii) an assessment of transferability of digital monitoring, reporting, and verification (MRV) tools to Ukraine. We find that eliminating tenure ambiguities, introducing targeted cost sharing, and enabling access to payments for ecosystem services and voluntary carbon markets can unlock financing at scale. A digital MRV stack—Earth observation, UAV/LiDAR, IoT sensors, and AI—can verify tree establishment and survival, quantify biomass and carbon increments, and document eligibility for performance-based incentives while lowering transaction costs relative to field-only surveys. The resulting sequenced policy package provides an actionable pathway for policymakers and donors to finance, monitor, and scale shelterbelt restoration in Ukraine and in similar resource-constrained settings.","url":"https://doi.org/10.3390/resources14100152","authors":["Sergiusz Pimenow","Olena Pimenowa","Lubov Moldavan","Piotr Prus","Katarzyna Sadowska"],"tags":["Ecosystem services","Incentive","Business","Transaction cost","Natural resource economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-25","doi":"https://doi.org/10.3390/resources14100152","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7134151499","name":"Digital twins for cardiopulmonary medicine: the case for pulmonary aterial hypertension","source":"openalex","abstract":"The management of pulmonary arterial hypertension (PAH), like so many diseases, currently relies on episodic data from clinic visits, which offers limited insight into a patient’s disease trajectory and dynamic clinical decisions. Patient digital twins present a technological solution that combine hospital and community data into a single dynamic and predictive virtual representation of the patient. Digital twins operationalise real-world observational inference at the individual level, functioning as a complementary decision-support tool alongside trial evidence. This review introduces the concept of a patient digital twin and provides a roadmap for the development, evaluation, and potential implementation of a patient digital twin for PAH. The resulting twin has the potential to change PAH care pathways, shifting PAH care from reactive to proactive management.","url":"https://openalex.org/W7134151499","authors":["S.A. Niederer","M. Balmus","C. Burr","Dr TJA Chico","R.H. Clayton","W. Bai","C. Rangel-Smith","DJ Wagg","R.D. Wilkinson","Wang Sy","A.M.K. Rothman","M.R. Wilkins"],"tags":["Medicine","Observational study","Intensive care medicine","Inference","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7148739800","name":"Abstract 6724: OncoTwin: A multimodal digital twin framework for predicting treatment response and guiding trial design in ALK-rearranged non-small-cell lung cancer.","source":"openalex","abstract":"Abstract Introduction: Despite advances with next-generation tyrosine kinase inhibitors (TKIs), response and progression patterns in ALK-rearranged NSCLC vary widely, and currently no reliable biomarkers can predict individualized outcomes under alternative therapies. Digital-twin models offer a solution by integrating real-world evidence to reconstruct patient-specific counterfactual disease trajectories for single-arm trials and evaluation of escalation strategies. Methods: We integrated real-world and clinical-trial datasets of ALK-rearranged NSCLC treated with TKIs, including MDACC cohort (n = 103, GEMINI database) for model development, Phase III randomized ALTA-1L (n = 207) for external validation, and Phase II BrightStar (n = 32) for clinical application. Tumor burden was quantified at whole-body and organ levels using CT-derived 3D volumetrics, combined with longitudinal routine blood test and demographic variables. Two digital twin models were developed through machine learning: OncoTwin-2D, a parsimonious model based on serial sum of longest diameters (SLD) and demographics, and OncoTwin-3D, an advanced model integrating longitudinal 3D volumetric, blood, and demographic features. Models were evaluated on MDACC and ALTA-1L cohorts by hazard ratio (HR) and log-rank test. The calibrated OncoTwin-3D was further applied to the single-arm BrightStar trial to simulate a counterfactual brigatinib-only control arm and evaluate the added benefit of local consolidation therapy (LCT). Results: Early tumor response patterns and long-term outcomes differed by TKI generation, with second-generation TKIs showing greater overall and organ-level responses and longer median PFS (29 vs 10 months; HR = 0.45; p < 0.001) than first-generation TKI. For our digital twin framework, OncoTwin-2D achieved robust risk stratification (HR = 1.8, p = 0.034 in MDACC cohort; HR = 2.1, p < 0.001 for external ALTA-1L cohort). Furthermore, model predicted survival outcomes aligned consistently with observed outcomes in ALTA-1L for first- and second-generation TKI. The advanced OncoTwin-3D further improved prognostic accuracy with significant risk stratification in MDACC cohort (HR = 3.9, p < 0.0001) and separately for individual TKI subgroups (p = 0.006 and p < 0.001 for first- and second-generation TKI). In the prospective BrightStar phase II trial, OncoTwin-3D was applied to simulate a counterfactual brigatinib-only control arm, which revealed a significant benefit from adding LCT (median PFS 66 vs. 22 months; HR = 2.8, p = 0.002). Conclusion: We introduced OncoTwin, an AI-driven multimodal digital twin for individualized response prediction and novel escalation evaluation. This scalable framework extends beyond thoracic disease, offering a generalizable paradigm that bridges real-world data and clinical trials to accelerate precision oncology. Citation Format: Hui Xu, Yasir Y. Elamin, Lingzhi Hong, Kyle Concannon, Maliazurina Binti Saad, Xinyan Xu, Muneer Amgad, Hui Li, Kang Qin, Xiaoyu Han, Sherif Ismail, Yuliya Kitsel, Saumil Gandhi, Mara B. Antonoff, Carol C. Wu, Brett W. Carter, Girish S Shroff, Simon Heeke, Xiuning Le, Tina Cascone, Natalie Vokes, Mehmet Altan, Don L. Gibbons, David Jaffray, Joe Y Chang, Zhongxing Liao, David Rice, Ara Vaporciyan, Stephen G G. Swisher, J Jack Lee, Jianjun Zhang, John V. Heymach, Jia Wu, . OncoTwin: A multimodal digital twin framework for predicting treatment response and guiding trial design in ALK-rearranged non-small-cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 6724.","url":"https://doi.org/10.1158/1538-7445.am2026-6724","authors":["Hui Xu","Yasir Y. Elamin","Lingzhi Hong","Kyle Concannon","Maliazurina B. Saad","Xinyan Xu","Muneer Amgad","H Li","Kang Qin","Xiaoyu Han","Sohair Ismail","Yuliya Kitsel","Saumil Gandhi","Mara B. Antonoff","Carol C. Wu","B. Carter","Girish S. Shroff","Simon Heeke","Xiuning Le","Tina Cascone","N. Vokes","Mehmet Altan","Don L. Gibbons","David A. Jaffray","Joe Y. Chang","Z. Liao","D. Rice","Ara Vaporciyan","Stephen G G. Swisher","J Jack Lee","Jianjun Zhang","John Victor Heymach","Jia Wu"],"tags":["Medicine","Counterfactual thinking","Clinical trial","Cohort","Oncology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-03","doi":"https://doi.org/10.1158/1538-7445.am2026-6724","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7170184058","name":"A Neuro-Fuzzy Digital Twin for Interpretable Cardiac Disease Recognition","source":"openalex","abstract":"We present a neuro-fuzzy digital twin for cardiac disease recognition on the PTB-XL dataset that keeps the accuracy of a strong convolutional model while exposing its reasoning as readable fuzzy rules. The key design choice is to separate the two jobs instead of forcing one network to do both. A convolutional backbone (xresnet1d101 with cross-lead attention) is trained first and acts as the predictor. A second phase then freezes the backbone and trains a five-expert mixture of interval Type-2 Adaptive Neuro-Fuzzy Inference Systems as an interpretation layer, attached through a learnable trust gate. Four experts read complementary signal streams (the raw 12-lead waveform, a Fourier–Bessel Series Expansion, a Tunable-Q Wavelet Transform, and a morphogram); a fifth reads 22 clinical and demographic descriptors. A concept bottleneck maps the backbone embedding to eight named clinical concepts (ST elevation, T inversion, QT prolongation, Sokolov–Lyon and Cornell voltages, RVH, axis deviation, QRS widening), so the downstream rules read in clinical language. Two genetic-algorithm stages keep the model compact: NSGA-II selects the clinical features, and a multi-objective rule-pruning search trades macro-F1 and hypertrophy recall against the number of active rules. On the official test fold the twin reaches a macro-F1 of 0.751 (bootstrap 95% CI 0.740 to 0.767), a macro-AUC of 0.928, a Matthews correlation coefficient of 0.672, and a macro expected calibration error of 0.021, which is above the Strodthoff xresnet1d101 baseline of 0.74 and well below the calibration error of our earlier coupled design. Because the fuzzy layer is attached as a trust-gated residual and the best epoch is chosen on threshold-optimized validation F1, the interpretable twin matches the backbone within about 0.004 (twin 0.751 versus backbone 0.754) rather than paying the usual “interpretability tax”. The fuzzy mixture on its own still reaches a macro-F1 of 0.69, so the rules carry real diagnostic signal. Subgroup macro-F1 stays within about 0.045 across sex, age, and body-mass groups. A concept-level intervention simulator estimates how cardioactive drug classes would shift a patient’s risk by perturbing the named concepts and re-running the same twin.","url":"https://doi.org/10.3390/app16157371","authors":["Marta Narigina","Andrejs Romānovs","Jurijs Merkurjevs"],"tags":["Computer science","Pattern recognition (psychology)","Residual","Artificial intelligence","Fuzzy logic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"https://doi.org/10.3390/app16157371","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7171283587","name":"A Framework for the Integration of Hybrid Models in Digital Twin Architectures for PHM","source":"openalex","abstract":"Hybrid model structures combine physics-based and machinelearning(ML) models to leverage complementary strengthsin prognostics and health management (PHM). While bothhybrid modeling and digital twin (DT) architectures are widelystudied, their structural interaction is rarely addressed systematically.In practice, hybrid models are often developedapplication-specifically, and their structural integration intoDT architectures remains weakly formalized.This paper analyzes hybrid model structures focusing on theirarchitectural composition and establishes a requirement-drivenconfiguration framework based on core PHM constraints. Fourhybrid coupling strategies are classified according to theirstructural integration principles and positioned within a designspace defined by structural dominance and integrationdepth. Based on this configuration framework, architecturalintegration requirements for DT environments are derived andoperationalized in a project-specific DT implementation.The study contributes (1) a structured classification of hybridcoupling strategies, (2) a requirement-driven configurationframework for hybrid model structures in PHM contexts,and (3) a structured integration workflow for embeddinghybrid models into DT architectures. The results providea consistent foundation for managing hybrid model structureswithin scalable DT environments.","url":"https://doi.org/10.36001/phme.2026.v9i1.4877","authors":["Jill Mercedes Linneweber","Andreas Schultz","Laura Müller","Osarenren Kennedy Aimiyekagbon","Iryna Mozgova","Walter Sextro"],"tags":["Prognostics","Workflow","Systems engineering","Computer science","Leverage (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-03","doi":"https://doi.org/10.36001/phme.2026.v9i1.4877","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4396580970","name":"Climate-responsive design practices: A transdisciplinary methodology for achieving sustainable development goals in cultural and natural heritage","source":"openalex","abstract":"The 17 Sustainable Development Goals (SDGs) defined by the United Nations represent a blueprint for the adoption of global practices and policies to foster sustainability in societies and increase efficiencies in resources uses. The Italian National Trust, FAI, has embraced these goals, developing a holistic and transdisciplinary methodology to promote a more sustainable approach to preserve its natural and built heritage. This methodology combines heritage protection with the SDGs in various macro-areas of interventions, including energy, water, biosphere, responsible consumption, and sustainable communities. The aim is to increase access to affordable and clean energy, reduce water, waste, and soil footprints, promote responsible consumption, and develop human capital. The paper proposes a set of strategies to achieve the SDGs in heritage, involving the collaboration of several stakeholders, ranging from institutions to citizens. The methodology is applied to a specific Italian case study, Casa Macchi in Morazzone, to highlight the challenges in achieving the dual objective of preserving the historic building and promoting sustainability in the built environment. • We propose a trans-disciplinary methodology for sustainable heritage preservation. • The heritage preservation project is analyzed in five macro-areas of intervention. • Assessment of effects on energy, water, biosphere, resources, and sustainability. • Casa Macchi preservation project to apply methodology and prove effectiveness.","url":"https://doi.org/10.1016/j.jclepro.2024.142431","authors":["Elena Lucchi","Francesca Turati","Benedetta Colombo","Eva Schito"],"tags":["Sustainability","Blueprint","Sustainable development","Natural resource","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-02","doi":"https://doi.org/10.1016/j.jclepro.2024.142431","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7163901513","name":"Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)","source":"openalex","abstract":"The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Centered on the theme, this conference gathers researchers, practitioners, industry leaders, and innovators to explore how AI, IoT, blockchain, and advanced analytics are reshaping supply chain ecosystems. FCIII 2026 highlights intelligent integration across procurement, production, logistics, and customer engagement. Through keynote sessions, panel discussions, and case studies, participants will gain insights into predictive analytics, real-time visibility, risk management, and digital transformation strategies. The conference aims to foster collaboration and build smart, resilient, transparent, and sustainable supply chains for the future. Measuring progress is essential. Companies should adopt comprehensive frameworks that track metrics such as representation, pay equity, promotion rates, and employee engagement across demographics. Equally important is building awareness among leaders, policymakers, and employees about the systemic barriers-like unconscious bias and exclusionary norms-that hinder inclusion. Education, dialogue, and accountability are key to creating workplaces where everyone can thrive. FCIII 2026 explores the transformation of global supply chains through advanced digital technologies and intelligent ecosystem integration. As supply networks respond to geopolitical shifts, sustainability demands, digital disruption, and changing consumer expectations, building resilient and adaptive systems has become vital. The conference highlights the role of AI, IoT, blockchain, digital twins, generative AI, and cognitive control towers in enhancing decision- making across procurement, logistics, finance, marketing, and customer engagement. Bringing together researchers, practitioners, industry leaders, and policymakers, FCIII 2026 promotes discussions on smart logistics, circular economy models, supply chain innovation, and human– AI collaboration, aiming to bridge theory and practice for sustainable, future-ready solutions.","url":"https://doi.org/10.5281/zenodo.20566092","authors":["Dr. Yavana Rani S","Dr. G S Vijaya","Dr. Vinoth Kumar V"],"tags":["Supply chain","Digital transformation","Industry 4.0","Business","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-07","doi":"https://doi.org/10.5281/zenodo.20566092","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7162955445","name":"SPATIOTEMPORAL INFORMATION MANAGEMENT METHODOLOGY BASED ON DIGITAL TWIN FOR BUILDINGS","source":"openalex","abstract":"To expand the utilization of digital twin for buildings, we propose “Spatiotemporal Information” for spaces without physical objects, addressing dynamic spatial changes due to time and environment.","url":"https://doi.org/10.3130/aije.91.344","authors":["Yuya IGARASHI","Nozomi YAMAMOTO","Katsuya HATTORI","Motoaki Yamazaki"],"tags":["Computer science","Information management","Data mining","Information system","Management information systems"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-31","doi":"https://doi.org/10.3130/aije.91.344","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W2128233152","name":"Seismic waves generated by aircraft impacts and building collapses at World Trade Center, New York City","source":"openalex","abstract":"Seismologists sometimes do their work of data acquisition and analysis against a tragic background. Usually, the context is fieldwork far from home, in an area subjected to the natural but sometimes devastating effects of an earthquake. But in the present case, we are in our own New York City area; that is, the Lamont‐Doherty Earth Observatory of Columbia University, in Palisades, N.Y; and the context is inhuman actions against people and the fabric of our society. As the appalling events of September 11 unfolded, we found that we had recorded numerous seismic signals from two plane impacts and building collapses of the two World Trade Center (WTC) towers, often at times different than those being reported elsewhere. Collapses of the two WTC towers generated large seismic waves, observed in five states and up to 428 km away The north tower collapse was the largest seismic source and had local magnitude ML 2.3. From this, we infer that ground shaking of the WTC towers was not a major contributor to the collapse or damage to surrounding buildings. But unfortunately, we also conclude that from the distance at which our own detections were made (the nearest station is 34 km away at Palisades) it is not possible to infer (with detail sufficient to meet the demands of civil engineers in an emergency situation) just what the near‐in ground motions must have been.","url":"https://doi.org/10.1029/01eo00330","authors":["Won‐Young Kim","Lynn R. Sykes","J. H. Armitage","Jiakang Xie","Klaus Jacob","Paul G. Richards","M. E. West","F. Waldhauser","J. G. Armbruster","L. Seeber","Wen‐xuan Du","A. Lerner‐Lam"],"tags":["Context (archaeology)","World trade center","Seismology","Observatory","Tower"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2001-11-20","doi":"https://doi.org/10.1029/01eo00330","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7167289828","name":"Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins","source":"arxiv","abstract":"Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signals, yet the pointwise metrics used to benchmark them cannot detect when these fundamental properties are lost. We show that this blind spot misranks models: across 11 architectures, models with comparable pointwise error diverge by up to 53° in phase accuracy, equivalent to roughly 123 ms for a 1.2 Hz cardiac rhythm and invisible to standard metrics. To enable development of models that escape such failures, we introduce TimeSynth, a controlled benchmarking framework with two reusable components: a physiologically grounded generator producing signals with analytically known ground-truth dynamics from parametric models fitted to real electroencephalography, electrocardiography and photoplethysmogram signals, along with diagnostics quantifying amplitude, frequency, phase, and state-transition fidelity. Linear and full-sequence attention models systematically lose frequency and phase information despite acceptable amplitude error, whereas architectures with localized temporal structure better preserve dynamical fidelity and adapt to observable state transitions; none, however, reliably preserves stochastic switching. Because the dominant determinant of fidelity is architectural, model choice becomes a principled, use-case-driven decision rather than a search for a single winner. TimeSynth thus supplies the controlled preclinical stress test missing before models are coupled to patient data, with a reusable generator and diagnostics for fidelity-aware development.","url":"https://openalex.org/W7167289828","authors":["Md. Rakibul Haque","Shireen Elhabian","Warren Woodrich Pettine","Md Rakibul Haque"],"tags":["Pointwise","Benchmark (surveying)","Fidelity","Computer science","Generator (circuit theory)","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"oa:W7128928712","name":"Fold Sensing Origami Gestures—A Case Study with Kresling Kinematics","source":"openalex","abstract":"Abstract We extend previous work in the field of origami robotics by exploring the question of fold sensing. Fold sensing is the process of sensing the angle between two adjacent folding planes and can be used to approximate an origami structure as it folds and unfolds. Our work shows that capacitive sensing can be used to detect four distinct types of interactions from the same sensor data stream. Our capacitive fold sensing design can detect touch as a Boolean state, pressure as a scalar value, single-fold gestures as a scalar value measured between two panels, and multi-fold gestures as a multi-dimensional vector, comprised of single-fold values. Our case study considers single and multi-fold gestures for the unique origami kinematics of the Kresling-ori. We present a prototype fold sensing instrument and two digital twins. The unique folding kinematics of the Kresling-ori has distinct folding gestures such as compression, rotation, twisting, and bending, making it ideal for this case study. We detail our methods for translating sensor data into gestural data for each type. We include a partial characterisation of the sensor design, sensor calibration process, single-fold and multi-fold gesture recognition methods. Our study points to further work towards a generalised model for sensing the complex kinematic structures in origami, in rigid and flexible origami structures.","url":"https://doi.org/10.1007/978-981-96-8661-2_1","authors":["Matthew Gardiner","Anna Oelsch","Simon Schmid","Alexandre Bezri"],"tags":["Kinematics","Gesture","Capacitive sensing","Computer science","Folding (DSP implementation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-981-96-8661-2_1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4323022427","name":"AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review","source":"openalex","abstract":"Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to be stable and universal; therefore, researchers have a lot of credibilities. So, it is the most used test for Epileptic Seizure detection and prediction. This study examines the contributions that have so far been made utilizing Electroencephalography technology to detect, predict, and monitor Epileptic Seizures. We have reviewed around 56 research articles, and those papers are selected from different academic databases. The studies explored various approaches, including Machine Learning, Deep Learning, and the Internet of Things framework. A comprehensive discussion of different classification algorithms is analyzed, and their performances are explored. Furthermore, various open issues of the stated approach are discussed, and potential future works are addressed.","url":"https://doi.org/10.1109/access.2023.3251105","authors":["Sobhana Jahan","Farhana Nowsheen","Mahathir Mahmud Antik","Md. Sazzadur Rahman","M. Shamim Kaiser","A. S. M. Sanwar Hosen","In-Ho Ra"],"tags":["Epilepsy","Internet of Things","Computer science","Health care","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3251105","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4399010098","name":"Recent advances on energy management and control of direct current microgrid for smart cities and industry: A Survey","source":"openalex","abstract":"Recently, the intent to use microgrid (MG) technology for urban, residential, and industrial applications has significantly increased. Thanks to the integration of shared storage technologies, these power systems allow for higher penetration of distributed renewable generation (DGs) and better mitigation of imbalances between demand and generation. This responds to social and environmental requirements in terms of decarbonizing energy and also contributes to strengthening smart cities. DC (Direct Current) microgrids offer several advantages compared to AC (Alternating Current) type microgrids, like superior efficiency, better control, stability, compatibility with the DC nature of renewables and storage sources, and the absence of reactive and synchronization problems. However, before fully exploiting the potential of microgrids in renewable-powered smart grids, it is necessary to conduct further research and discussion on critical technical and socio-economic challenges. This paper presents a review of the existing state-of-the-art research in DC microgrid development, relevant challenges related to security, communication, power quality, and operation, as well as the appropriate control and energy management strategies to handle them. As control and energy management strategies considerably impact other performance indicators such as operating cost, emissions, and power system safety, this paper offers a perspective on the potential improvement of such management solutions.","url":"https://doi.org/10.1016/j.apenergy.2024.123501","authors":["Seydali Ferahtia","Azeddine Houari","Tudor Cioara","Mohammed Bouznit","Hegazy Rezk","Ali Djerioui"],"tags":["Microgrid","Current (fluid)","Control (management)","Energy management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-25","doi":"https://doi.org/10.1016/j.apenergy.2024.123501","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4221076639","name":"Critical Infrastructures: Reliability, Resilience and Wastage","source":"openalex","abstract":"By 2050, according to the UN medium forecast, 68.6% of the world’s population will live in cities. This growth will place a strain on critical infrastructure distribution networks, which already operate in a state that is complex and intertwined within society. In order to create a sustainable society, there needs to be a change in both societal behaviours (for example, reducing water, energy or food waste activities) and future use of smart technologies. The main challenges are that there is a limited aggregated understanding of current waste behaviours within critical infrastructure ecosystems, and a lack of technological solutions to address this. Therefore, this article reflects on theoretical and applied works concerning waste behaviours, the reliability/availability and resilience of critical infrastructures, and the use of advanced technologies for reducing waste. Articles in the Scopus digital library are considered in the investigation, with 51 papers selected by means of a systematic literature review, from which 38 strains, 86 barriers and 87 needs are identified, along with 60 methods of analysis. The focus of the work is primarily on behaviours, barriers and needs that create an excess or wastage.","url":"https://doi.org/10.3390/infrastructures7030037","authors":["William Hurst","Kwabena Ebo Bennin","Ben Kotze","Bernard Tonderayi Mangara"],"tags":["Resilience (materials science)","Scopus","Work (physics)","Reliability (semiconductor)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-09","doi":"https://doi.org/10.3390/infrastructures7030037","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7154255272","name":"The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins","source":"openalex","abstract":"The electrical stimulation of the nervous system has shown great clinical potential in injury and pathology, yet experimentally driven practice makes it challenging to identify effective design choices and personalized stimulation protocols. This review outlines emerging model-based optimization frameworks that address these challenges by leveraging biophysical digital twins of neural interfaces. Enabling acceleration strategies and complementary data-driven approaches are also highlighted, along with key factors that currently limit clinical translation.","url":"https://doi.org/10.1038/s44385-026-00076-8","authors":["Claudio Verardo","Veronica Fossati","Laura Toni","Luca Pierantoni","Elena Losanno","Filippo Agnesi","Simone Romeni"],"tags":["Computer science","Key (lock)","Human–computer interaction","Acceleration","Neuroscience"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-14","doi":"https://doi.org/10.1038/s44385-026-00076-8","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7105668144","name":"Blue-Cloud 2026 Third Federation Workshop","source":"openalex","abstract":"Blue-Cloud partners and collaborators gathered in Brussels from 5 to 7 November 2025 for a three-day series of strategic and technical sessions, anchored by the Third Federation Workshop. The event took place just after the EOSC Symposium, as Blue-Cloud is supporting the creation of a Thematic Node within the EOSC Federation under the name \"EOSC Node Digital Twin of the Ocean\". On 5th November afternoon, the event counted with two hands-on sessions exploring the EOSC Marine Node core and thematic services and cross-node use cases. These interactive demonstrations offered participants a closer look at the technical developments powering Blue-Cloud’s federated services. On 6th November, the Third Federation Workshop brought together project partners, EOSC stakeholders, and Synergy Projects for a full day of in-depth discussion and exchange. The agenda featured an opening overview of key takeaways from the EOSC Symposium, followed by a sequence of panel discussions covering core services, the connection between EOSC and EDITO, the practical challenges of building a federated approach, and capacity-building efforts. Official event page: https://blue-cloud.org/events/blue-cloud-2026-third-federation-workshop","url":"https://doi.org/10.5281/zenodo.17598616","authors":["Pittonet Gaiarin, Sara","Meijer, Jan","Wyns, Roxanne","Reyes Suarez, Nydia Catalina","Palermo, Francesco","SIMONCELLI, Simona","Nascimento Vitorino, João","Mieruch, Sebastian","Barde, Julien","Pagano, Pasquale","Assante, Massimiliano","Kooyman, Robin","Tedds, Jonathan","PESANT, Stéphane","Wichorowski, Marcin","Rizzo, Alessandro","BODERE, Erwan","Delaney, Conor","Tonani, Marina","Vera, Julia","Fooks, Samuel","Costa, Valentina","Irisson, Jean-Olivier","Vernet, Marine","Dechenne, Abel","Eparkhina, Dina","Caccavale, Mauro","Sarretta, Alessandro","Janssens, Laurence","Sharma, Shreshtha"],"tags":["Event (particle physics)","Political science","Library science","Node (physics)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-13","doi":"https://doi.org/10.5281/zenodo.17598616","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7154621306","name":"Review of Digital Twin Projects in Medical Research and their ELSI Programs","source":"openalex","abstract":"This work was supported by World Premier International Research Center Initiative, Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Japan.","url":"https://doi.org/10.18910/104461","authors":["Chenlu Tracey Cui","Sayaka Ito","Atsuo Kishimoto"],"tags":["Medical research","Work (physics)","Engineering ethics","Public relations","Center (category theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-07","doi":"https://doi.org/10.18910/104461","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4285303810","name":"The Evolution of Networks and Management in a 6G World: An Inventor’s View","source":"openalex","abstract":"The onset of the 6G era in telecommunications, touted to launch in 2030, is hoped to serve many masters and deliver an unparalleled improvement in capabilities, applications, intelligence, and indeed liberate human potential. The vision of 6G incorporates new radio frequencies and technologies, the integration of sensing, cognitive methods defining both network functions and their management, and new networking approaches for a broader scope of applications and distribution. The challenges for inventors lies in both physical devices and a substantive improvement in the development of functions implemented by, and managed, with software. The algorithms (including dynamic solutions based on Artificial Intelligence and Machine Learning), protocols, and architecture evolutions will bring together the most advanced software systems ever imagined for telecommunications. Yet, the business of companies building and operating these next generation platforms requires a huge investment, and 6G will exceed all others with its breadth and complexity. This paper outlines one possible timeline of technological impact based on the pace of invention, investment, global context, and the broad goals of 6G. From this, follows a vision of the critical methods in automation, security and networking that we believe will be central to bringing the dream of 6G to a reality.","url":"https://doi.org/10.1109/tnsm.2022.3188200","authors":["G.M. Karam","Markus Grüber","Iris Adam","François Boutigny","Yoan Miché","Sarit Mukherjee"],"tags":["Computer science","Telecommunications","Context (archaeology)","Scope (computer science)","Timeline"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-04","doi":"https://doi.org/10.1109/tnsm.2022.3188200","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4388672967","name":"Perceptions and use of metaverse in higher education: A descriptive study in China and Spain","source":"openalex","abstract":"The coronavirus disease – 2019 pandemic has accelerated the proliferation of virtual technologies and had have an enormous impact on education. In this paper, we analyse teachers’ perceptions about the use of the metaverse in educational practices and how it contributes to the local development. We focused our study in China and Spain as reference countries in the metaverse, but whose collaboration, in this arena, is not significant. For that purpose, we designed a questionnaire to explore the views of 20 teachers from each of the two universities selected, one in China and the other one in Spain, which applies an innovation and entrepreneurship education. The results show that the educational use of the metaverse is in its initial experimentation phase. Its application in innovation and entrepreneurship education is not limited to teachers' attitudes towards teaching, but rather to how the use of metaverse allows students to acquire real skills, which can contribute to the development of the society and improve international cooperation, thus creating a virtuous circle. Faculty training and university facilities remain limited for its implementation. Further research is needed on the data protection and privacy aspects on the practical educational use of metaverse.","url":"https://doi.org/10.1016/j.caeai.2023.100185","authors":["Yinglong Qiu","Rosa Isusi-Fagoaga","Adela García-Aracil"],"tags":["Metaverse","China","Perception","Entrepreneurship","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.caeai.2023.100185","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7163878361","name":"Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)","source":"openalex","abstract":"The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Centered on the theme, this conference gathers researchers, practitioners, industry leaders, and innovators to explore how AI, IoT, blockchain, and advanced analytics are reshaping supply chain ecosystems. FCIII 2026 highlights intelligent integration across procurement, production, logistics, and customer engagement. Through keynote sessions, panel discussions, and case studies, participants will gain insights into predictive analytics, real-time visibility, risk management, and digital transformation strategies. The conference aims to foster collaboration and build smart, resilient, transparent, and sustainable supply chains for the future. Measuring progress is essential. Companies should adopt comprehensive frameworks that track metrics such as representation, pay equity, promotion rates, and employee engagement across demographics. Equally important is building awareness among leaders, policymakers, and employees about the systemic barriers-like unconscious bias and exclusionary norms-that hinder inclusion. Education, dialogue, and accountability are key to creating workplaces where everyone can thrive. FCIII 2026 explores the transformation of global supply chains through advanced digital technologies and intelligent ecosystem integration. As supply networks respond to geopolitical shifts, sustainability demands, digital disruption, and changing consumer expectations, building resilient and adaptive systems has become vital. The conference highlights the role of AI, IoT, blockchain, digital twins, generative AI, and cognitive control towers in enhancing decision- making across procurement, logistics, finance, marketing, and customer engagement. Bringing together researchers, practitioners, industry leaders, and policymakers, FCIII 2026 promotes discussions on smart logistics, circular economy models, supply chain innovation, and human– AI collaboration, aiming to bridge theory and practice for sustainable, future-ready solutions.","url":"https://doi.org/10.5281/zenodo.20566093","authors":["Dr. Yavana Rani S","Dr. G S Vijaya","Dr. Vinoth Kumar V"],"tags":["Supply chain","Digital transformation","Industry 4.0","Business","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-06","doi":"https://doi.org/10.5281/zenodo.20566093","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7171040525","name":"A Multi-Layer Geometric Digital Twin of the Human Kidney: Anatomical Fidelity and Calibrated Reduced-Order Feasibility Checks","source":"openalex","abstract":"Chronic kidney disease affects over 850 million people worldwide, and computa-tional tools that describe the geometry of a bioprinted kidney prior to fabricationremain scarce and fragmented. Here we present Bio-Kidney AI 2026, an open,reproducible framework whose validated contribution is the anatomical andgeometric fidelity of a multi-layer digital twin of the renal vasculature and col-lecting system, built on modest hardware. The vascular generator (ConstrainedConstructive Optimization, CCO v8) synthesizes 1,902 hierarchical segments with100% Murray’s Law compliance (α = 3.0) across 915 bifurcations, and a Beta(3,1.2) radial distribution places 63.1% of demand points in the cortical zone, con-sistent with human nephron distribution. A two-pass calibrated Poiseuille modelresolves the failure of naive pressure computation in geometrically compressedtrees, producing a monotonic, physiologically ordered pressure cascade with ter-minal pressures of 58.6 ± 13.4 mmHg. The functional modules — glomerular fil-tration (Starling–Deen), Co-SWIFT bioprinting optimization (Herschel–Bulkley +MOPSO), iPSC differentiation kinetics, and tubular reabsorption — are presentedexplicitly as calibrated reduced-order feasibility checks and design-spaceexploration, not physiological predictions. Accordingly, the bilateral figure of~115 mL/min is reported as a feasibility check under a calibrated pressurescale (K_f from literature × a calibrated Starling driving force), not a geo-metric prediction of GFR; and design targets for cell viability, phenotypic purity,and reabsorption efficiency are cited from the literature rather than claimed as1validated outputs. The pipeline executes in under 60 s on consumer hardware (16GB RAM, Ubuntu Linux) and is released as an open-source Python package. Theframework thus contributes a reproducible, honestly-tiered geometric foundation— an anatomically-anchored geometric core with clearly-labeled reduced-order en-gineering estimates — for pre-fabrication analysis in organ bioengineering.v4: Withdraws the oxygen-transport module after an internal audit found the solver diverges numerically; corrects the reproducibility section and Appendix A radii to match the versioned tree (1,902 segments, MD5 4f881a05); versions the geometric layers in git. The geometric contribution (Layers 0–4, Murray-compliant vasculature) is unaffected.","url":"https://doi.org/10.5281/zenodo.21576269","authors":["Carlos David Moreno Cáceres"],"tags":["Fidelity","Computer science","Pipeline (software)","Reabsorption","Nephron"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-25","doi":"https://doi.org/10.5281/zenodo.21576269","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7153457386","name":"A Multi-Layer Geometric Digital Twin of the Human Kidney: Anatomical Fidelity and Calibrated Reduced-Order Feasibility Checks","source":"openalex","abstract":"Chronic kidney disease affects over 850 million people worldwide, and computa-tional tools that describe the geometry of a bioprinted kidney prior to fabricationremain scarce and fragmented. Here we present Bio-Kidney AI 2026, an open,reproducible framework whose validated contribution is the anatomical andgeometric fidelity of a multi-layer digital twin of the renal vasculature and col-lecting system, built on modest hardware. The vascular generator (ConstrainedConstructive Optimization, CCO v8) synthesizes 1,902 hierarchical segments with100% Murray’s Law compliance (α = 3.0) across 915 bifurcations, and a Beta(3,1.2) radial distribution places 63.1% of demand points in the cortical zone, con-sistent with human nephron distribution. A two-pass calibrated Poiseuille modelresolves the failure of naive pressure computation in geometrically compressedtrees, producing a monotonic, physiologically ordered pressure cascade with ter-minal pressures of 58.6 ± 13.4 mmHg. The functional modules — glomerular fil-tration (Starling–Deen), Co-SWIFT bioprinting optimization (Herschel–Bulkley +MOPSO), iPSC differentiation kinetics, and tubular reabsorption — are presentedexplicitly as calibrated reduced-order feasibility checks and design-spaceexploration, not physiological predictions. Accordingly, the bilateral figure of~115 mL/min is reported as a feasibility check under a calibrated pressurescale (K_f from literature × a calibrated Starling driving force), not a geo-metric prediction of GFR; and design targets for cell viability, phenotypic purity,and reabsorption efficiency are cited from the literature rather than claimed as1validated outputs. The pipeline executes in under 60 s on consumer hardware (16GB RAM, Ubuntu Linux) and is released as an open-source Python package. Theframework thus contributes a reproducible, honestly-tiered geometric foundation— an anatomically-anchored geometric core with clearly-labeled reduced-order en-gineering estimates — for pre-fabrication analysis in organ bioengineering.v4: Withdraws the oxygen-transport module after an internal audit found the solver diverges numerically; corrects the reproducibility section and Appendix A radii to match the versioned tree (1,902 segments, MD5 4f881a05); versions the geometric layers in git. The geometric contribution (Layers 0–4, Murray-compliant vasculature) is unaffected.","url":"https://doi.org/10.5281/zenodo.19508076","authors":["Carlos David Moreno Cáceres"],"tags":["Nephron","Computer science","Biomanufacturing","Renal function","Kidney"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-25","doi":"https://doi.org/10.5281/zenodo.19508076","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7171479522","name":"The Probability of Motion Sensor-Aware Digital Twins for In Silico Ethology","source":"openalex","abstract":"Quantitative analysis of rodent behavior is essential for neuroscience, neuroengineering, and preclinical research, yet reliable long-duration tracking remains difficult in realistic laboratory environments where occlusion, non-line-of-sight propagation, multipath distortion, and sensor uncertainty can alter the measured trajectory. This dissertation develops a probabilistic view of animal motion in which observed trajectories are treated not as fixed representations of behavior, but as sensor-conditioned measurements shaped by uncertainty, signal integrity, and environmental distortion. Building on this perspective, the dissertation presents a sensor-aware framework for Ultra-Wideband (UWB)-based rodent behavioral inference that connects high-precision localization, probabilistic behavioral modeling, and trajectory-level digital twins within a unified measurement-to-inference pipeline. The first contribution is the development and validation of a UWB-based real-time locating system for rodent behavioral studies. A compact wearable tag, an optimized anchor configuration, time-based ranging, phase-based localization, adaptive filtering, and Kalman-based correction are integrated to reconstruct rodent trajectories under both Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) conditions. Experimental validation against synchronized video tracking demonstrates centimeter-level localization performance, with LoS tracking achieving a mean localization error of 2.28 centimeters and NLoS tracking maintaining bounded error under obstructed conditions. These results establish UWB sensing as a practical platform for continuous rodent tracking in conditions where vision-based systems may be limited by visibility, lighting, and occlusion. The second contribution is a probabilistic framework that transforms UWB trajectories from position measurements into interpretable behavioral models. Rather than treating localization error only as an engineering metric, this dissertation shows that physical-layer signal integrity propagates into behavioral interpretation. Shannon entropy, Bernoulli accuracy modeling, and Markov transition analysis are used to quantify uncertainty, reliability, and sequential structure in rodent behavior. The analysis reveals a consistent LoS-to-NLoS sensing signature: localization-error entropy increases from 1.15 to 1.78 Bits, the probability of achieving sub-20-millimeter accuracy shifts from 63.2 percent to 27.7 percent, and average behavioral state persistence shifts from 68 percent to 52 percent. These shifts are not treated as isolated tracking failures; instead, they establish that sensing condition is a measurable component of behavioral inference, linking physical-layer signal quality to uncertainty, reliability, and sequential organization in rodent behavior. The third contribution is a sensor-aware generative framework for in silico ethology. The trajectory-level digital twin separates latent behavioral dynamics from sensing-induced distortion by coupling a semi-Markov behavioral model with a regime-dependent UWB observation channel. This factorization enables generation of virtual rodent trajectories that are both behaviorally plausible and measurement-realistic under LoS and NLoS regimes. The generated trajectories reproduce key properties of real sessions, including behavioral occupancy, state-conditioned kinematics, residual-domain structure, and mean-squared displacement across time lags. In downstream classification, explicit sensor-aware conditioning yields stable mixed-domain performance with an area under the curve of 0.995, whereas condition-agnostic baselines degrade under LoS/NLoS domain shift. Taken together, this dissertation establishes a probability-of-motion framework for rodent behavioral inference: first by building and validating the UWB localization platform, then by linking signal integrity to probabilistic behavioral structure, and finally by extending the framework to trajectory-level di","url":"https://openalex.org/W7171479522","authors":["Reza Sayfoori"],"tags":["Probabilistic logic","Computer science","Hidden Markov model","Tracking (education)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-04","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W3122800945","name":"Why the Google Books Settlement is Procompetitive","source":"openalex","abstract":"Although the Google Books Settlement has been criticized as anticompetitive, I conclude that this critique is mistaken. For out-of-copyright books, the settlement procompetitively expands output by clarifying which books are in the public domain and making them digitally available for free. For claimed in-copyright books, the settlement procompetitively expands output by clarifying who holds their rights, making them digitally searchable, allowing individual digital display and sales at competitive prices each rightsholder can set, and creating a new subscription product that provides digital access to a near-universal library at free or competitive rates. For unclaimed in-copyright books, the settlement procompetitively expands output by helping to identify rightsholders and making their books saleable at competitive rates when they cannot be found. The settlement does not raise rival barriers to offering any of these books, but to the contrary lowers them. The output expansion is particularly dramatic for commercially unavailable books, which by definition would otherwise have no new output.","url":"https://doi.org/10.1093/jla/2.1.1","authors":["Einer Elhauge"],"tags":["Settlement (finance)","Public domain","Product (mathematics)","Economics","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-01-01","doi":"https://doi.org/10.1093/jla/2.1.1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4285741588","name":"Nitrogen and potassium application effects on productivity, profitability and nutrient use efficiency of irrigated wheat (Triticum aestivum L.)","source":"openalex","abstract":"The development of robust nutrient management strategies have played a crucial role in improving crop productivity, profitability and nutrient use efficiency. Therefore, the implementation of efficient nutrient management stratigies is important for food security and environmental safety. Amongst the essential plant nutrients, managing nitrogen (N) and potassium (K) in wheat (Triticum aestivum L.) based production systems is citically important to maximize profitable production with minimal negative environmental impacts. We investigated the effects of different fertilizer-N (viz. 0-240 kg N ha-1; N0-N240) and fertilizer-K (viz. 0-90 kg K ha-1; K0-K90) application rates on wheat productivity, nutrient (N and K) use efficiency viz. partial factor productivity (PFPN/K), agronomic efficiency (AEN/K), physiological efficiency (PEN/K), reciprocal internal use efficiency (RIUEN/K), and profitability in terms of benefit-cost (B-C) ratio, gross returns above fertilizer cost (GRAFC) and the returns on investment (ROI) on fertilizer application. These results revealed that wheat productivity, plant growth and yield attributes, nutrients uptake and use efficiency increased significantly (p<0.05)with fertilizer-N application, although the interaction effect of N x K application was statistically non-significant (p<0.05). Fertilizer-N application at 120 kg N ha-1 (N120) increased the number of effective tillers (8.7%), grain yield (17.3%), straw yield (15.1%), total N uptake (25.1%) and total K uptake (16.1%) than the N80. Fertilizer-N application significantly increased the SPAD reading by ~4.2-10.6% with fertilizer-N application (N80-N240), compared with N0. The PFPN and PFPK increased significantly with fertilizer-N and K application in wheat. The AEN varied between 12.3 and 22.2 kg kg-1 with significantly higher value of 20.8 kg kg-1 in N120. Fertilizer-N application at higher rate (N160) significantly decreased the AEN by ~16.3% over N120. The N120treatment increased the AEK by ~52.6% than N80 treatment. Similarly the RIUEN varied between 10.6 and 25.6 kg Mg-1 grain yield, and increased significantly by ~80.2% with N120 as compared to N0 treatment. The RIUEK varied between 109 and 15.1 kg Mg-1 grain yield, and was significantly higher in N120 treatment. The significant increase in mean gross returns (MGRs) by ~17.3% and mean net returns (MNRs) by ~24.1% increased the B-C ratio by ~15.1% with N120 than the N80 treatment. Fertilizer-N application in N120 treatment increased the economic efficiency of wheat by ~24.1% and GRAFC by ~16.9%. Grain yield was significantly correlated with total N uptake (r = 0.932**, p<0.01), K uptake (r = 0.851**), SPAD value (r = 0.945**), green seeker reading (r = 0.956**), and the RIUEN (r = 0.910**). The artificial neural networks (ANNs) showed highly satisfactory performance in training and simulation of testing data-set on wheat grain yield. The calculated mean absolute error (MAE), mean absolute percentage error (MAPE) and root mean square error (RMSE) for wheat were 0.0087, 0.834 and 0.052, respectively. The well trained ANNs model was capable of producing consistency for the training and testing correlation (R2 = 0.994**, p<0.01) between the predicted and actual values of wheat grain yield, which implies that ANN model succeeded in wheat grain yield prediction.","url":"https://doi.org/10.1371/journal.pone.0264210","authors":["Sandeep Sharma","Gagandeep Kaur","Pritpal Singh","Saud Alamri","Ritesh Kumar","Manzer H. Siddiqui"],"tags":["Fertilizer","Nutrient","Nutrient management","Agronomy","Straw"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-24","doi":"https://doi.org/10.1371/journal.pone.0264210","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W7171268843","name":"A Graph Neural Network approach to zero-shot Digital Twins","source":"openalex","abstract":"Traditional Predictive Digital Twins often remain geometrically rigid, requiring extensive retraining or fine-tuning whenever the underlying physical domain or boundary conditions change. To overcome this limitation, we present a novel framework for \\textit{Zero-Shot Digital Twins} that seamlessly couples real-time visual perception with a geometry-agnostic, physics-informed reasoning engine. At the core of our architecture is the Thermodynamics-Informed Graph Neural Network architecture, a Geometric Deep Learning solver grounded in a metriplectic thermodynamic formalism that enforces energy conservation and non-negative entropy production locally through graph message passing. The framework integrates an auxiliary Graph Neural Network to infer unobservable fields (such as stress tensors or velocity and energy distributions) directly from sparse initial visual boundaries, mitigating numerical start-up transients. To bridge the sim-to-real gap, we implement a continuous closed-loop data assimilation mechanism; the pipeline tracks macroscopic deformations and free-surface fluid boundaries in real-time using deep segmentation networks combined with sparse optical flow, dynamically correcting the autoregressive simulation rollout and eliminating numerical drift. To test the validity of our approach, we demonstrate the extreme generalization capabilities of our approach across two disparate physical regimes: the large deformations of a viscoelastic beam and the non-linear sloshing of a viscous fluid. In both scenarios, the unified framework instantiates physically accurate simulations on novel, unseen geometries without case-specific retraining, operating well within real-time latency budgets (approximately 25 ms per frame) and enabling the direct projection of latent mechanical variables via Augmented Reality.","url":"https://openalex.org/W7171268843","authors":["Alicia Tierz","Icíar Alfaro","David González","Elías Cueto"],"tags":["Computer science","Solver","Artificial intelligence","Artificial neural network","Realizability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7167795073","name":"Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026)","source":"openalex","abstract":"The International Conference on Future Chains Intelligence, Innovation & Integration: Shaping Smart Supply Chains with AI, IoT & Beyond (FCIII 2026) focuses on transforming supply chains through emerging technologies. Centered on the theme, this conference gathers researchers, practitioners, industry leaders, and innovators to explore how AI, IoT, blockchain, and advanced analytics are reshaping supply chain ecosystems. FCIII 2026 highlights intelligent integration across procurement, production, logistics, and customer engagement. Through keynote sessions, panel discussions, and case studies, participants will gain insights into predictive analytics, real-time visibility, risk management, and digital transformation strategies. The conference aims to foster collaboration and build smart, resilient, transparent, and sustainable supply chains for the future. Measuring progress is essential. Companies should adopt comprehensive frameworks that track metrics such as representation, pay equity, promotion rates, and employee engagement across demographics. Equally important is building awareness among leaders, policymakers, and employees about the systemic barriers-like unconscious bias and exclusionary norms-that hinder inclusion. Education, dialogue, and accountability are key to creating workplaces where everyone can thrive. FCIII 2026 explores the transformation of global supply chains through advanced digital technologies and intelligent ecosystem integration. As supply networks respond to geopolitical shifts, sustainability demands, digital disruption, and changing consumer expectations, building resilient and adaptive systems has become vital. The conference highlights the role of AI, IoT, blockchain, digital twins, generative AI, and cognitive control towers in enhancing decision- making across procurement, logistics, finance, marketing, and customer engagement. Bringing together researchers, practitioners, industry leaders, and policymakers, FCIII 2026 promotes discussions on smart logistics, circular economy models, supply chain innovation, and human– AI collaboration, aiming to bridge theory and practice for sustainable, future-ready solutions.","url":"https://doi.org/10.5281/zenodo.21237421","authors":["Dr. Yavana Rani S","Dr. G S Vijaya","Dr. Vinoth Kumar V"],"tags":["Supply chain","Digital transformation","Industry 4.0","Business","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-07","doi":"https://doi.org/10.5281/zenodo.21237421","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W2480711743","name":"Putting pain out of mind with an ‘out of body’ illusion","source":"openalex","abstract":"BACKGROUND: Chronic pain is a growing societal concern that warrants scientific investigation, especially given the ineffectiveness of many treatments. Given evidence that pain experience relies on multisensory integration, there is interest in using body ownership illusions for reducing acute pain. AIM: In the present study, we investigate whether patients' experience of chronic pain could be reduced by full body illusions (FBIs) that cause participants to dissociate from their own body. METHODS: Participants with chronic pain (including sciatica, osteoarthritis, fibromyalgia, muscular pain, IBS and back pain) viewed their own 'virtual' bodies via a video camera and head-mounted display for two minutes. In the 'back-stroking FBI', their backs were stroked with a stick while they viewed synchronous or asynchronous stroking on the virtual body and in the 'front-stroking FBI', they were stroked near their collarbone while viewing the stick approach their field of view in a synchronous or asynchronous fashion. Illusion strength and pain intensity were measured with self-report questionnaires. RESULTS: We found that full body illusions were experienced by patients with chronic pain and further, that pain intensity was reduced by an average of 37% after illusion (synchronous) conditions. CONCLUSION: These findings add support to theories that high-level multisensory body representations can interact with homeostatic regulation and pain perception. SIGNIFICANCE: Pain intensity in chronic pain patients was reduced by 37% by 'out of body' illusions. These data demonstrate the potential of such illusions for the management of chronic pain.","url":"https://doi.org/10.1002/ejp.927","authors":["J. Pamment","Jane E. Aspell"],"tags":["Illusion","Chronic pain","Physical medicine and rehabilitation","Psychology","Physical therapy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-08-10","doi":"https://doi.org/10.1002/ejp.927","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W2047292785","name":"Morphological Study of Palatal Rugae in a Sudanese Population","source":"openalex","abstract":"Palatal rugae patterns have unique characteristics and have been proposed as an alternative method to establish identity when other means, such as fingerprints and dental records, are not attainable. This study was conducted to determine the morphological characteristics of palatine rugae and to assess the existence of side asymmetry in them in Sudanese Arabs. It also assesses the possibility of determining sex using logistic regression. One hundred dental casts for 50 males and 50 females aged between 18 and 23 were studied for palatal rugae dimensions, shapes, and orientations, as well as sexual dimorphism and side symmetry. The most predominant rugae were primary, and the most prevalent shapes in both sexes were wavy, curved, and straight forms. The predominant orientation was forward. Side asymmetry existed more in the orientations than in the shapes, but no side asymmetry was recorded in the dimensions. There was no significant sexual dimorphism in the rugae dimensions, shapes, and orientations, except for forward-directed rugae (P < 0.037). A predictive value of 60% was obtained in assigning sex using dimensions and orientations and of 58% using shapes alone. Therefore, the palatal rugae are not recommended for assigning sex effectively among Sudanese Arabs unless it is the only means available.","url":"https://doi.org/10.1155/2015/650648","authors":["Altayeb Abdalla Ahmed","A. Hamid"],"tags":["Sexual dimorphism","Orthodontics","Dentistry","Population","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-01-01","doi":"https://doi.org/10.1155/2015/650648","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1002/we.2912/v2/review2","name":"Review for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v2/review2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1145/3801359.3801362","name":"Research on the Fusion Framework of Digital Twin and the Internet of Things based on Bibliometric","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3801359.3801362","authors":["Zhuorong Xiang","Peng Pan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-04T11:17:37Z","doi":"10.1145/3801359.3801362","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2514/6.2026-1793","name":"A Framework for Assuring the Accuracy and Fidelity of an AI-Enabled Digital Twin of en Route UK Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1793","authors":["Adam Keane","Nick Pepper","Chris Burr","Amy Hodgkin","John Korna","Marc Thomas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1793","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1049/icp.2026.0534","name":"Welding copilot: an LLM-empowered digital twin for human-like robotic welding","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0534","authors":["Yuda Cao","Wei Wu","Qiqi Chen","Xiwei Wu","George Q. Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0534","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.18609/vac.2026.005","name":"The digital immune ‘twin’: a new catalyst for vaccine discovery in African swine fever?","source":"crossref","abstract":"“[...] a digital twin of the swine immune system is uniquely positioned to unlock the full potential of such limited data by casting it in the context of our broader knowledge of pig physiology and immunity.”","url":"https://doi.org/10.18609/vac.2026.005","authors":["Joyce Reimer","Gordon Broderick"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-03T13:40:27Z","doi":"10.18609/vac.2026.005","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/electronics15101995","name":"A Secure Cross-Domain Control Mechanism for Stateful Digital Twin Migration in Edge Computing","source":"crossref","abstract":"Mobility-aware digital twin (DT) migration is increasingly used in edge computing to sustain low-latency service as physical entities and service demand move across domains. However, stateful DT migration across administrative domains requires more than placement adaptation; it also requires target-side legitimacy verification, protected-state transfer, continuity-preserving traffic transition, and invalidation of stale source-side instances. This paper presents a secure cross-domain authentication and service continuity mechanism for mobility-aware DT migration in edge computing. The proposed design formulates migration as a six-phase ordered control procedure comprising migration triggering, target-side authorization, protected-state transfer, continuity-aware traffic transition, post-migration activation, and revocation-aware completion. Security analysis examines authorization soundness, migration-state confidentiality and integrity, transition safety, and post-migration uniqueness. Performance evaluation shows that the full mechanism introduces only a bounded increase in migration-related cost while reducing service interruption at 500 MB from approximately 1.79 s without continuity-aware transition control to 285 ms in the full mechanism. The results indicate that the proposed mechanism preserves the operational benefit of mobility-aware DT migration while strengthening migration authorization, state transfer protection, and service continuity under cross-domain relocation.","url":"https://doi.org/10.3390/electronics15101995","authors":["Mikail Mohammed Salim","Farheen Naaz","Kwonhue Choi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-11T19:35:43Z","doi":"10.3390/electronics15101995","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.scsadv.2026.100061","name":"From data to decisions: A digital twin–driven framework for intelligent and sustainable infrastructure systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scsadv.2026.100061","authors":["Tuan A. Pham"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-19T22:24:46Z","doi":"10.1016/j.scsadv.2026.100061","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/smartindustrycon68821.2026.11493034","name":"Digital Twin and Native-AI Empowered 6G Networks: Architectures, Applications, Evaluation, and Open Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon68821.2026.11493034","authors":["Yassir Al-Karawi","Hussein Shakor Mogheer","Khamees Khalaf Hasan","Ahmed Hussein Dawwd"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T19:47:39Z","doi":"10.1109/smartindustrycon68821.2026.11493034","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1515/9783111327853-203","name":"Preface","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-203","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-203","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.7717/peerj-cs.3929/table-7","name":"Table 7: Summary of works related to adaptive scheduling by using digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-7","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.23919/ipec-nagasaki2026-ec64663.2026.11597356","name":"Digital Twin-Based Quality Inspection of Starter Motor Power Transmission Modules","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ipec-nagasaki2026-ec64663.2026.11597356","authors":["Qi-You Huang","Zhong-Han Tsai","Wei-Che Lin","Mi-Ching Tsai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-16T21:48:50Z","doi":"10.23919/ipec-nagasaki2026-ec64663.2026.11597356","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1049/icp.2026.0487","name":"Trustworthy urban digital twin: a RAG-based architecture for integrating verifiable knowledge","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0487","authors":["Xiang Xie","Manuel Herrera","Xiao-Yu Tang","Philip James","Mohamad Kassem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0487","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1145/3802974.3809415","name":"My Digital Twin Walks the City","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3802974.3809415","authors":["Leticia Izquierdo Garcia","Miguel Ureña-Pliego","Adrian Mora-Carrero","Kent Larson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-13T02:25:06Z","doi":"10.1145/3802974.3809415","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/percomworkshops68308.2026.11585429","name":"Dual Mind World Model Inspired Network Digital Twin for Access Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/percomworkshops68308.2026.11585429","authors":["Hrishikesh Dutta","Roberto Minerva","Noel Crespi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T19:42:40Z","doi":"10.1109/percomworkshops68308.2026.11585429","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/s44291-026-00196-w","name":"Integrating digital twin and sensor technologies for future-ready smart grids","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44291-026-00196-w","authors":["Maaz Tahir Malik","Hafiz Muhammad Obaid","Hafiz Faiz Rasool"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-24T13:48:04Z","doi":"10.1007/s44291-026-00196-w","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.36227/techrxiv.16828759.v2","name":"Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges","source":"crossref","abstract":"A Digital Twin is a digital replica of a living or non-living physical entity, and this emerging technology attracted extensive attention from different industries during the past decade. Although a few Digital Twin studies have been conducted in the transportation domain very recently, there is no systematic research with a holistic framework connecting various mobility entities together. In this study, a Mobility Digital Twin (MDT) framework is developed, which is defined as an Artificial Intelligence (AI)-based data-driven cloud-edgedevice framework for mobility services. This MDT consists of three building blocks in the physical space (namely Human, Vehicle, and Traffic), and their associated Digital Twins in the digital space. An example cloud-edge architecture is built with AmazonWeb Services (AWS) to accommodate the proposed MDT framework and to fulfill its digital functionalities of storage, modeling, learning, simulation, and prediction. The effectiveness of the MDT framework is shown through the case study of three digital building blocks with their key micro-services: the Human Digital Twin with user management and driver type classification, the Vehicle Digital Twin with cloud-based Advanced Driver-Assistance Systems (ADAS), and the Traffic Digital Twin with traffic flow monitoring and variable speed limit.","url":"https://doi.org/10.36227/techrxiv.16828759.v2","authors":["Ziran Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-02-01T00:14:48Z","doi":"10.36227/techrxiv.16828759.v2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/s00170-025-17202-2","name":"Digital twin and digital shadow infrastructure as drivers for industrial resilience, optimization, and inclusiveness: the case of Ethiopia’s manufacturing industry","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-17202-2","authors":["Alie Wube Damtew"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-19T17:42:09Z","doi":"10.1007/s00170-025-17202-2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/a19030198","name":"An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics","source":"crossref","abstract":"Humanitarian logistics faces challenges such as conflicting objectives, severe uncertainty, temporal dynamics, and the need for interpretable decisions. This research presents an integrated decision-making framework that simultaneously considers fuzzy uncertainty, system dynamics, and adaptive decision logic. Operational uncertainties are modeled using triangular fuzzy numbers and a dynamic representation of the system allows for continuous updating of decisions over time. Computational results based on simulated data show that the proposed framework is capable of generating stable, diverse, and interpretable solutions. An improvement in the average quality of the Pareto front of more than 5% and a reduction in the distance from the reference front of about 30% are observed compared to non-adaptive approaches. Also, stability and dynamic behavior analyses show that the decisions are robust to changing environmental conditions and parameters and have high adaptability. These features make the proposed framework a reliable tool for decision support in relief operations.","url":"https://doi.org/10.3390/a19030198","authors":["Zornitsa Yordanova","Hamed Nozari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-06T09:22:14Z","doi":"10.3390/a19030198","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/iccsdfai70505.2026.11647960","name":"AI-Driven Financial Decision Support in Digital Twin Ecosystems for Critical Infrastructure: Lifecycle Cost Optimization and Risk-Aware Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccsdfai70505.2026.11647960","authors":["Pooja Kansra","Gaini Mukhanova","Olga Ergunova","Evgeny Makarenko","Anupriya Sharma Ghai","Marina Morozova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-17T19:18:32Z","doi":"10.1109/iccsdfai70505.2026.11647960","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.future.2026.108601","name":"A digital twin-inspired ecosystem framework for aquatic animal healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.future.2026.108601","authors":["Abdullah Alqahtani","Munish Bhatia","Veerawali Behal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-17T14:42:30Z","doi":"10.1016/j.future.2026.108601","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00024-x","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00024-x","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:27:19Z","doi":"10.1016/b978-0-443-14070-9.00024-x","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.70675/63d480f6zfcfcz4114z9595z4d7348eb65aa","name":"Digital twin for energy consumption prediction in industrial production sites","source":"crossref","abstract":"Jumeau numérique pour la prédiction de la consommation énergétique dans les sites de production industrielle Ce travail de recherche vise à développer un outil efficace basé sur les jumeaux numériques pour la prévision de la consommation d'énergie dans les sites industriels. Les jumeaux numériques intègrent des modèles d'état analytiques combinés à des filtres de Kalman étendus dans un processus d'apprentissage. La connexion avec la contrepartie réelle est réalisée exclusivement par le biais de capteurs non intrusifs, ce qui permet la mise en œuvre pratique du jumeau numérique sans modifications particulières du système testé. Grâce au filtre de Kalman étendu, le domaine physique et le domaine virtuel peuvent être synchronisés en temps réel. Cette architecture innovante permet le développement de modèles de systèmes industriels (processus, machines et composants) sur lesquels on ne dispose pas de connaissances complètes, en identifiant les paramètres inconnus du modèle grâce à de courtes phases d'entraînement online et à de petites quantités de données brutes acquises en temps réel. Les filtres de Kalman étendus avec un vecteur d'état augmenté suivent les inconnues en maintenant les modèles virtuels à jour au fur et à mesure de l'évolution des systèmes physiques. Après le processus d'apprentissage, les modèles dynamiques peuvent être déconnectés des filtres de Kalman étendus et utilisés pour prédire la consommation d'énergie réelle dans les conditions de fonctionnement souhaitées. L'approche est validée en mode hors ligne par rapport à la consommation d'électricité d'une machine à café automatique, un cas d'utilisation académique qui représente un environnement d'essai réel et un exemple de conception de jumeaux numériques prédictifs pour d'autres systèmes industriels. Le comportement du système est observé en mesurant la tension d'alimentation et le courant total absorbé par l'appareil. Le développement du modèle, l'entraînement du modèle et la performance de la prédiction sont analysés et discutés pour chaque composant principal de la machine à café. La procédure de mise en œuvre du jumeau numérique est également décrite pour un cas d'utilisation industrielle, où le processus concerné est la consommation d'énergie pour le chauffage environnemental du bâtiment industriel, afin de maintenir la température intérieure à la valeur de référence souhaitée. Des résultats préliminaires sont obtenus en traitant des données simulées pour les profils de température intérieure et des données réelles pour les conditions météorologiques externes.La méthode proposée dans cette thèse est développée dans le contexte de l'optimisation de la consommation d'énergie dans l'industrie manufacturière par le biais d'une gestion et d'une planification affinées de l'énergie.","url":"https://doi.org/10.70675/63d480f6zfcfcz4114z9595z4d7348eb65aa","authors":["Antonio Baldassarre"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T10:38:16Z","doi":"10.70675/63d480f6zfcfcz4114z9595z4d7348eb65aa","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.7069219","name":"An Intelligent Digital Twin Approach for Real-Time Elbow Angle Prediction from sEMG Signals Using AI-based predictor using BiLSTM Network","source":"crossref","abstract":"Wearable elbow robots have emerged as effective assistive and rehabilitation devices for enhancing mobility in elderly and physically impaired individuals. Surface electromyography (sEMG) sensors are widely used to measure muscle activity; however, their inherently noisy nature can affect the performance and stability of closed-loop systems. Accurate prediction of elbow joint angles from sEMG signals is essential for the development of intelligent rehabilitation robots, exoskeletons, and human–machine interaction systems.,This paper proposes a data-driven Digital Twin (DT) framework for real-time elbow angle prediction that combines a Bidirectional Long Short-Term Memory (BiLSTM) network with an adaptive DT error-correction mechanism. The BiLSTM model predicts elbow joint angles from sEMG signals acquired from the biceps brachii and triceps brachii muscles, while the Digital Twin continuously refines the predicted trajectories using real-time prediction error feedback.,The proposed framework was experimentally validated using flexion-extension and pronation-supination movements under three external loading conditions (0 g, 1360 g, and 2270 g). Performance was evaluated using root mean square error (RMSE), mean absolute error (MAE), and correlation coefficient (R). Results show that the DT framework improves prediction accuracy in all loading conditions. Compared with the original BiLSTM predictor, the Digital Twin reduced the average RMSE from 20.22° to 16.90° and the average MAE from 14.61° to 12.25°, corresponding to approximately 16.4% and 16.2% improvements, respectively. Furthermore, the correlation between predicted and measured elbow angles increased from approximately 0.84 to 0.89, with the highest performance achieved under the 2270 g load condition,(RMSE = 16.84°, MAE = 11.60°, R = 0.9009). The high correlation between DT-corrected and original BiLSTM outputs (R &gt; 0.99) demonstrates that the proposed Digital Twin keeps the underlying motion dynamics while effectively compensating for prediction errors. The results show that the proposed Digital Twin framework provides an accurate, computationally efficient, and model-free solution for real-time elbow angle prediction, making it suitable for rehabilitation robotics, robotic exoskeletons, and future digital healthcare applications.","url":"https://doi.org/10.2139/ssrn.7069219","authors":["Mehdi Rakhtala Rostami","Seyed Abolghasem Rakhtala Rostam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T02:48:48Z","doi":"10.2139/ssrn.7069219","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.54941/ahfe1007965","name":"Marine Protected Area (MPA) Digital Twin Framework and Its Perspectives","source":"openalex","abstract":"Marine Protected Areas (MPAs) are increasingly recognised as critical infrastructures for biodiversity conservation, climate regulation, and the resilience of coastal socio-ecological systems, while also supporting emerging Blue Economy strategies. Among the ecosystems they safeguard, Posidonia oceanica meadows represent a particularly valuable and vulnerable component of the Mediterranean seascape, providing long-term carbon sequestration. This paper proposes a Digital Twin (DT) framework for the Marine Protected Area of Ischia (Regno di Nettuno), conceived as a dynamic, data-driven system to support continuous monitoring, adaptive governance, and the development of Blue Carbon initiatives. By integrating heterogeneous data streams across ecological, infrastructural, and socio-economic dimensions, the system aims to support continuous monitoring, risk assessment, and evidence-based governance.The methodology combines an analysis of data availability and accessibility with a systematic mapping of stakeholders and activities. The DT is designed as a circular data–action–feedback chain, transforming input data into descriptive and predictive outputs—such as what-if scenarios and dynamic cartographies—which are disseminated through web, mobile, and Digital Twin interfaces. These outputs inform stakeholder activities and are enacted through a set of regulatory, ecological, socio-economic, participatory, and technical actuators, generating real-world interventions and new data inputs. The proposed framework shows the MPA DT designed as a socio-technical interface that connects marine ecosystems, informed decision-making, and civic engagement, fostering more resilient and inclusive approaches to marine conservation.","url":"https://doi.org/10.54941/ahfe1007965","authors":["Letizia Artioli","Giovanni Borga","Pietro Costa"],"tags":["Marine protected area","Environmental resource management","Marine spatial planning","Stakeholder","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"10.54941/ahfe1007965","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.2139/ssrn.4349123","name":"Ship Digital Twin Architecture for Optimizing Sailing Automation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4349123","authors":["Omer Kemal Kinaci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-05T19:27:07Z","doi":"10.2139/ssrn.4349123","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00033-6","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00033-6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:47:42Z","doi":"10.1016/b978-0-443-30300-5.00033-6","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.25136/2409-7802.2026.3.80873","name":"Development of a Digital Twin of the Fuel and Energy Complex of the Russian Federation","source":"crossref","abstract":"The specifics of the fuel and energy complex, which includes distributed electricity and heating networks, pipeline infrastructure, large facilities for the extraction and processing of energy resources, as well as many other production facilities and equipment, necessitate the use of technologies that allow creating virtual models of real objects and providing mathematical and simulation modeling, in particular digital counterparts. The subject of the research is the processes of formation and functioning of the digital twin of the fuel and energy complex of the Russian Federation. Based on two current challenges, namely the trend observed in global and Russian practice towards a decrease in the energy profitability of oil and gas production and the need to increase energy efficiency in the use of energy resources, digital twins can act as one of the key technologies for increasing the competitiveness of the Russian fuel and energy complex and related sectors of the economy. The work uses methods of information analysis and generalization, a structural and functional approach, a comparative analysis of scientific sources, as well as an analysis of the regulatory framework. The scientific novelty lies in substantiating the concept of the digital twin of the fuel and energy complex as an integrated system of digital models, shadows and twins united by a common architecture and semantic space. Considering that the data and models of digital twins used in companies can be useful for other economic entities and government agencies, as well as taking into account the potential for combining a large number of digital twins into a single industry-wide digital twin to improve the efficiency of public administration and make informed strategic and tactical decisions, the article discusses the prospects for creating the digital twin of the fuel and energy complex of the Russian Federation. The paper reveals the specifics of its functioning and identifies potential risks of development and implementation. The results of the study can be taken into account when developing state policy in the field of fuel and energy complex in terms of the implementation of projects (initiatives) in the field of digital twins.","url":"https://doi.org/10.25136/2409-7802.2026.3.80873","authors":["Artyom Vladimirovich Gavrilyuk","Akhmat Umarovich Temirbulatov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-30T14:15:24Z","doi":"10.25136/2409-7802.2026.3.80873","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6018077","name":"Intelligent Monitoring and Dynamic Adjustment Method of Ship Spraying Process Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6018077","authors":["Jiangmin Xu","Tongjun Shi","Xuwen Jing","Shaohua Huang","Zheng Zhang","Chengbo Li","Hui Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-05T07:21:16Z","doi":"10.2139/ssrn.6018077","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.54254/2755-2721/2026.34925","name":"Digital Twin-Driven Intelligent Relocation System with AI-Based Path Planning and Reinforcement Learning","source":"crossref","abstract":"This paper proposes an AI-based intelligent house-moving system integrating digital twin technology with AI-driven planning algorithms and virtual–physical interaction technology to improve relocation process efficiency. Structure-from-Motion (SfM) approach combined with object detection techniques is applied to the system which generates semantically enriched digital twin models for indoor environment and objective objects. Based on this model, feasibility analysis and path planning are performed to evaluate whether large furniture can be moved through constrained spaces and hence generates collision-free movement paths for different scenarios under each case. Genetic algorithms are used for optimizing container space utilization, improving packing efficiency and reducing transportation cost, meanwhile, reinforcement learning is incorporated to enhance system adaptability. In addition, with the help of augmented reality (AR) module and digital twin visualization dashboard, the system can provide real-time guidance and monitoring for users. The proposed system improves efficiency, accuracy, and user experience compared to traditional relocation methods.","url":"https://doi.org/10.54254/2755-2721/2026.34925","authors":["Siyu Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T09:54:19Z","doi":"10.54254/2755-2721/2026.34925","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1093/nsr/nwag553","name":"An atomic-scale digital twin of dislocation systems","source":"crossref","abstract":"Abstract Dislocations, the primary carriers of plasticity, govern the mechanical properties of crystalline materials ranging from metals to semiconductors. The atomic-scale behavior of a dislocation is controlled by multi‑dimensional fields encompassing structure, stress, energy, and chemical environment, which govern its intrinsic mobility and interactions with other defects. However, simultaneously capturing such multi‑dimensional information remains a long‑standing challenge, since the atomic‑resolution images primarily reveal structural features like atomic positions, while other critical fields remain hidden. Here, we introduce AtomDiT, a machine learning-based framework that creates a digital twin of dislocations directly from a high‑resolution micrograph. AtomDiT uses atomistic simulations to learn the relationships between local atomic environment and multi‑dimensional fields, and transfers this knowledge to experimental images. Derived from a single image, it identifies dislocation types and core positions, constructing the surrounding mechanical and chemical fields. AtomDiT is applicable across various crystal structures, dislocation types, chemical complexities, and deformation states. Using the digital twin, we reveal how stress and elemental distribution regulate dislocation‑interface interactions, offering mechanistic insights into plasticity in chemically and structurally complex systems. Based on atomic structures derived from experimental measurements, the digital twin directly serves as a data foundation for mesoscale and continuum‑level plasticity models, bridging atomic‑scale defect dynamics with higher‑scale material behavior.","url":"https://doi.org/10.1093/nsr/nwag553","authors":["Qingkun Zhao","Zhenghao Zhang","Yanqi Zhou","Hailin Deng","Qi Zhu","Haofei Zhou","Wei Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T13:11:04Z","doi":"10.1093/nsr/nwag553","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6885484","name":"Towards Minimum-sensor Digital Twin: Modal Expansion-informed Neural Networks for Reconstructing Full-Field Dynamic Respnses from Sparse Measurements","source":"crossref","abstract":"This paper proposes a modal expansion-informed neural network (MENN) for the robust reconstruction of full-field structural dynamic responses (i.e., virtual sensing) using only a limited number of sensors. By integrating physics-based modal expansion (ME) theory with a bidirectional retention-based neural network through a designed physics-informed loss function, MENN learns a high-fidelity mapping from sparse measurements to generalized modal coordinates. In contrast to conventional ME methods, which typically require the number of measurement points to exceed the number of retained modes, MENN relaxes this constraint and enables efficient online virtual sensing through modal superposition. Since MENN relies on mode shapes at sparse sensor locations during training, effective sensor placement becomes crucial. Accordingly, this study explicitly establishes the relationship among modal truncation, mode shape bias, and the resulting dense field reconstruction error.To lower the associated error bound, a QR-initialized stochastic local search (QRSLS) algorithm is further developed to determine the optimal sensor placement. The proposed MENN framework is validated through both numerical simulations on a cantilever beam and experimental tests on a wind turbine blade under different excitation scenarios. The results demonstrate that the proposed method exhibits high reconstruction accuracy and computational efficiency, even in the presence of multiple error sources and under exceedingly sparse sensor configurations. Overall, MENN provides a practical pathway for full-field response reconstruction by significantly reducing the number of required sensors for full-field response reconstruction. Notably, MENN does not necessarily require complete prior knowledge of the structural mass, damping, and stiffness parameters, nor does it require explicit estimation of external loading conditions during both the training and inference stages.","url":"https://doi.org/10.2139/ssrn.6885484","authors":["Yan ZENG","Jian-An LI","Guobiao Hu","Zhilu Lai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T18:43:35Z","doi":"10.2139/ssrn.6885484","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.64697/iahr-apd2024_p485","name":"Research on Key Technologies for Building Digital Twin Platform for Water Management","source":"crossref","abstract":"Currently, China's water management is faced with problems such as water shortages, serious water environment pollution, frequent extreme water disasters, and low water management efficiency .In order to deal with the above problems, smart water affairs need to rely on advanced information technology, big data analysis, artificial intelligence and other means to build intelligent perception, intelligent analysis and intelligent decision-making systems to achieve refined management and efficient utilization of water resources. Starting from the needs of urban water management and application, and based on the overall requirements of smart water conservancy and digital twin construction, this article focuses on the water digital twin big data management, two- and three-dimensional integrated platform support services, water business model management, and other key technologies. Taking Wuhan City as an example, this paper established a water affairs digital twin platform and initially constructed the full-chain of \"sensor monitoring - data aggregation - model calculation - preview plan\", effectively improving the intelligent and intelligent water management of Wuhan City, providing technical support for the implementation of smart water services.","url":"https://doi.org/10.64697/iahr-apd2024_p485","authors":["Chen Zhe","Sun Cong","Xiang Daxiang","Cheng Huaming","Jiang Ying","Li Jingwei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T21:33:08Z","doi":"10.64697/iahr-apd2024_p485","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1002/9781394257003.ch12","name":"Use of Digital Twin in Predicting the Life of Aircraft Main Bearing","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.ch12","authors":["Urvashi Kumari","Pooja Malhotra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.ch12","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1049/icp.2026.0496","name":"Digital twin model update and anomaly detection application for deep-sea Argo floats","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0496","authors":["Shuang Gao","Zhiyao Zhang","Xueda Tang","Haixia Xiong","Chong Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0496","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.48009/4_iis_2024_123","name":"HUMAN DIGITAL TWIN INITIATIVES","source":"crossref","abstract":"","url":"https://doi.org/10.48009/4_iis_2024_123","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-30T16:18:51Z","doi":"10.48009/4_iis_2024_123","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1201/9781003507000","name":"Digital Twin Adoption and BIM-GIS Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507000","authors":["Samad Sepasgozar","Sara Shirowzhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T11:08:34Z","doi":"10.1201/9781003507000","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.32347/2412-9933.2026.65.22-29","name":"Method of proactive change management in development projects based on a digital\n            twin","source":"crossref","abstract":"Traditional approaches to managing changes in construction development projects are predominantly reactive, relying on manual progress tracking and heuristic decision-making, which often leads to significant cost overruns, schedule delays, and scope creep. This research addresses the critical need for a more predictive and data-driven management paradigm in the development of educational infrastructure. To overcome these limitations, this study develops and proposes a Method of proactive change management in development projects based on a Digital Twin (PCMM-DT). The research aim is to establish a closed-loop system where real-time site data, integrated via a Digital Twin (DT) and Building Information Modeling (BIM), allows for the dynamic simulation and mitigation of construction deviations before they disrupt project baselines. The core of the study is the development of a PCMM-DT method, which functions as an intelligent decision support system. The PCMM-DT method integrates a four-layer architecture – physical, digital twin, analytics, and action layers – to manage the project lifecycle. A PCMM-DT method algorithm was formulated to perform multi-objective optimization, balancing conflicting criteria such as lifecycle cost, functional utility, and project resilience. The evaluation is conducted using a PCMM-DT model for constraint handling, which validates proposed changes against geometric, safety, and quality standards. Furthermore, a PCMM-DT model for multi-objective fitness evaluation was constructed to quantify the impact of changes across economic, functional, and adaptability vectors. The application of the PCMM-DT method allows for the generation of a Pareto-optimal frontier, providing project managers with a robust, evidence-based ranking matrix for selecting the most appropriate mitigation strategies. This approach transforms the management of change orders from an adhoc process into a systematic, optimized workflow. The proposed PCMM-DT method represents a paradigm shift from reactive project governance to proactive, predictive management. By leveraging the PCMM-DT model for real-time analytics and decision support, project teams can identify deviations early, assess their impacts precisely, and select optimal configuration changes. This integration enhances the digital resilience of educational development projects, ensuring that capital investments remain aligned with both pedagogical objectives and budgetary constraints. Future research will focus on the empirical validation of the PCMM-DT method in large-scale infrastructure environments to further refine the predictive accuracy of the integrated digital twins.","url":"https://doi.org/10.32347/2412-9933.2026.65.22-29","authors":["Mykola Tsai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-14T12:27:39Z","doi":"10.32347/2412-9933.2026.65.22-29","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/su18168092","name":"Digital Twin-Ready Framework for the Automated Management of Urban Green Spaces: A Case Study","source":"crossref","abstract":"In response to the growing demand for sustainable regeneration and efficient operation of urban spaces, the adoption of digitalised facility management (FM) has emerged as an effective strategy. FM facilitates data-driven planning and optimised resource use, contributing to more sustainable and resilient urban environments. This research combines Building Information Modelling (BIM) with Visual Programming Languages (VPLs) to support the regeneration and optimisation of an urban park. Autodesk Revit is employed to develop an LOD 300 semantic and geometric model, while Dynamo enables the implementation of two parametric scripts: Script A, governing on/off control of monitored systems based on environmental, temporal and contextual conditions, and Script B, providing continuous operational monitoring, fault diagnosis and color-coded visual feedback directly within the BIM environment. The framework is tested at Parco Gioeni, an 8.6-hectare historically and geologically urban park in Italy, across three management systems: irrigation, nebulization and green area monitoring. A total of 28 what-if scenarios are conducted across systems, indicating the framework’s functional consistency and contextual adaptability under the tested conditions. The proposed approach is built on accessible open software tools, making it transferable to public administration contexts, and is designed to be scalable and replicable across different urban green space typologies.","url":"https://doi.org/10.3390/su18168092","authors":["Giuliana Parisi","Alessia Ursino","Rosa Caponetto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-10T10:23:50Z","doi":"10.3390/su18168092","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.12688/digitaltwin.17931.1","name":"Is it possible to develop a digital twin for noise monitoring in manufacturing?","source":"crossref","abstract":"Noise monitoring is important in the context of manufacturing because it can help maintain a safe and healthy workspace for employees. Current approaches for noise monitoring in manufacturing are based on acoustic sensors, whose measured sound pressure levels (SPL) are shown as bar/curve charts and acoustic heat maps. In such a way, the noise emission and propagation process is not fully addressed. This paper proposes a digital twin (DT) for noise monitoring in manufacturing using augmented reality (AR) and the phonon tracing method (PTM). In the proposed PTM/AR-based DT, the noise is represented by 3D particles (called phonons) emitting and traversing in a spatial domain. Using a mobile AR device (HoloLens 2), users are able to visualize and interact with the noise emitted by machine tools. To validate the feasibility of the proposed PTM/AR-based DT, two use cases are carried out. The first use case is an offline test, where the noise data from a machine tool are first acquired and used for the implementation of PTM/AR-based DT with different parameter sets. The result of the first use case is the understanding between the AR performance of HoloLens 2 (frame rate) and the setting of the initial number of phonons and sampling frequency. The second use case is an online test to demonstrate the in-situ noise monitoring capability of the proposed PTM/AR-based DT. The result shows that our PTM/AR-based DT is a powerful tool for visualizing and assessing the real-time noise in manufacturing systems.","url":"https://doi.org/10.12688/digitaltwin.17931.1","authors":["Li Yi","Patrick Ruediger-Flore","Ali Karnoub","Jan Mertes","Moritz Glatt","Jan C. Aurich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-28T06:45:06Z","doi":"10.12688/digitaltwin.17931.1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1201/9781003655190-23","name":"Theoretical Foundations of Digital Twins for Predictive Intelligence in IoT-Driven Healthcare Ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003655190-23","authors":["Sonam Gupta","Pradeep Gupta","Malik Shahzad Ahmed Iqbal","Vikash Yadav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T10:56:20Z","doi":"10.1201/9781003655190-23","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1145/3806262.3806337","name":"From Standardisation to Personalisation: AI-Driven “Digital Twin” Teaching Reform in Vocational Physical Education - A Study on Health Promotion Prescription Design Based on Student Competency Variations","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3806262.3806337","authors":["Xianhua Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T06:27:13Z","doi":"10.1145/3806262.3806337","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-3373-8177-0.ch006","name":"Digital Twin and Blockchain Integration for Smart Hospital Infrastructures Towards Personalized and Predictive Medicine","source":"crossref","abstract":"Digital Twin (DT) technology advances healthcare by employing real-time, data-driven virtual models of physical systems for individualized care, predictive diagnostics, and system management. DTs enhance patient outcomes, hospital efficiency, and drug research speed through applications in remote monitoring, pre-operative planning, and treatment simulation. Despite these benefits, widespread adoption is hindered by cybersecurity threats, data privacy risks, integration difficulties, high deployment costs, and opaque AI decision-making. Additionally, the absence of standardized regulations remains a critical barrier. Future progress depends on developing cost-effective AI solutions, utilizing blockchain for data security, and establishing clear regulatory frameworks. By resolving these technical and operational hurdles, DTs can transform healthcare into a predictive, personalized system.","url":"https://doi.org/10.4018/979-8-3373-8177-0.ch006","authors":["Ashok P.","Lakshmi Sridevi S.","Sarala Patchala","Vijaya Babu Burra","Janaki N.","Subham Layek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T15:14:42Z","doi":"10.4018/979-8-3373-8177-0.ch006","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/swc57546.2023.10448890","name":"Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc57546.2023.10448890","authors":["Prasad Talasila","Cláudio Gomes","Peter Høgh Mikkelsen","Santiago Gil Arboleda","Eduard Kamburjan","Peter Gorm Larsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-01T18:31:15Z","doi":"10.1109/swc57546.2023.10448890","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.5100117","name":"Designing a New Digital Twin Framework for Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5100117","authors":["Oleg Krylov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T21:37:05Z","doi":"10.2139/ssrn.5100117","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1108/bij-09-2024-0742","name":"Examine the interrelationship among the adoption barrier of digital twin in supply chain","source":"crossref","abstract":"Purpose This study aims to identify and analyze the key barriers hindering the adoption of digital twin (DT) technology in supply chain (SC) Management and presents the insights for overcoming these challenges. Design/methodology/approach A conceptual framework is developed to analyze the interconnections among the barriers to adopt DT technology in Supply chains. The DEMATEL technique is employed to visualize and quantify the cause-and-effect relationships. Further, the effort vs impact matrix framework is used to benchmark and prioritize the barriers based on the level of effort required to address them and their potential impact on adoption outcomes. Findings The findings indicate that the primary inhibiting barriers for the adoption and implementation of digital twins in the SC are hardware barriers, human resource barriers, regulatory barriers and data barriers. The causal relationship suggests that the regulatory barrier holds the highest degree of influence. Research limitations/implications This study investigates the barriers to adopting DT technology in supply chains. A total of 24 sub-barriers are examined and grouped into six categories that reflect the perspectives of different stakeholders across the SC. This categorization helps in understanding how adoption challenges vary and interrelate across stakeholder groups. Practical implications This study sheds light on the major challenges that impede the adoption of digital twins in supply chain management. Furthermore, the cause-and-effect relationships among these barriers are developed, which provides actionable insights that can support organizations in overcoming these challenges and accelerating DT adoption. Originality/value This study contributes to the growing body of knowledge on DT adoption in supply chains by applying the DEMATEL technique to systematically identify and analyze key obstacles. The study offers a novel perspective by uncovering the interdependencies among barriers and thereby providing both scholars and practitioners with a deeper understanding of how to facilitate the successful implementation of DT technology.","url":"https://doi.org/10.1108/bij-09-2024-0742","authors":["Nagendra Kumar","Rohit Gupta","Bhawana Rathore"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-16T16:20:57Z","doi":"10.1108/bij-09-2024-0742","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/technologies14080479","name":"Digital Twin Technology in Pipeline Engineering: A Study Review of Applications, Challenges, and Future Directions","source":"crossref","abstract":"Digital Twin (DT) technology has emerged as a transformative approach in pipeline engineering, enabling real-time monitoring, predictive analytics, and enhanced decision-making across the asset lifecycle. This review critically examines recent advancements in the application of digital twins for pipeline systems, with a particular focus on condition monitoring, leak detection, corrosion assessment, and predictive maintenance. The study synthesizes findings from a wide range of literature to identify key enabling technologies, including Internet of Things (IoT) sensors, data-driven modeling, computational fluid dynamics (CFD), and machine learning algorithms. Special attention is given to the integration of physics-based and data-driven models for improving the accuracy and reliability of digital twin frameworks. In addition, this paper proposes a unified reference architecture for pipeline digital twins, supported by a mathematical formulation of synchronization and a comparative synthesis of existing approaches. The review highlights how digital twins facilitate early fault detection and operational optimization by continuously synchronizing physical assets with their virtual counterparts. The review also emphasizes the importance of uncertainty-aware and reliability-informed digital twin frameworks for robust decision-making in safety-critical pipeline applications. Applications in subsea, oil and gas, and water distribution pipelines are explored, demonstrating the versatility of DT systems under different environmental and operational conditions. Despite significant progress, challenges remain in data integration, model validation, scalability, and cybersecurity. Furthermore, the lack of standardized architectures and interoperability frameworks limits widespread adoption. This paper concludes by outlining future research directions, including the development of hybrid modeling techniques, edge computing integration, and AI-driven autonomous decision systems. Overall, digital twin technology represents a paradigm shift in pipeline engineering, offering substantial potential to enhance safety, efficiency, and sustainability in complex infrastructure systems.","url":"https://doi.org/10.3390/technologies14080479","authors":["Hamed Azimi","Rahim Shoghi","Hodjat Shiri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-03T11:50:21Z","doi":"10.3390/technologies14080479","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.7354075","name":"Immersive Digital Twin Simulations for Hurricane and Flood Risk Communication: A Within-Subject Comparative Study Using Physiological and Self-Report Measures","source":"crossref","abstract":"This study examines how different human-computer interaction modalities influence risk perception, emotional engagement, and preparedness during hurricane and flood communication. Specifically, it compares immersive virtual reality (VR) with conventional two-dimensional (2D) video as interfaces for communicating environmental hazards. A photorealistic digital twin of a residential structure in Cedar Key, Florida, was developed in Unreal Engine 5 using real-world geospatial data, NOAA hydrodynamic flood models, and machine learning-based vegetation placement. Forty-one adults experienced five NOAA-aligned flood severity phases through both an HTC Vive head-mounted display and a standard monitor in a counterbalanced within-subject design. Physiological responses (ECG and EDA) were recorded alongside validated measures of presence, emotional arousal, stress, urgency, and preparedness intentions. Compared with 2D video, immersive VR produced significantly stronger outcomes across all measures, including sense of presence (d = 1.06–1.60), emotional arousal (d = 0.50–0.84), stress and urgency (d = 0.59–0.82), and preparedness intentions (d = 0.77–0.97), with physiological evidence confirming heightened engagement during high-severity storm phases. Sense of presence emerged as the strongest predictor of preparedness across both interaction modalities, highlighting its central role in shaping user behavior. These findings demonstrate that the design of immersive human-computer interfaces fundamentally influences cognitive and affective processing during risk communication and suggest that digital twin environments provide an effective human-centered interaction paradigm for supporting disaster education, decision making, and resilience in hurricane-prone communities.","url":"https://doi.org/10.2139/ssrn.7354075","authors":["Zahra Zare","jeffrey carney","Luis Mejia-Puig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-26T10:46:04Z","doi":"10.2139/ssrn.7354075","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1002/rob.70220","name":"Six‐Dimensional Digital Twin System for Autonomous Underwater Vehicles: Conceptualization and Twin Experiments","source":"crossref","abstract":"ABSTRACT To promote the efficient, comprehensive, reliable, and low‐cost testing and application of intelligent algorithms for autonomous underwater vehicles (AUVs), this paper proposes an innovative six‐dimensional digital twin (6D DT) conceptual model and provides detailed engineering implementation strategies of this twin system. This model integrates six core dimensions, including physical entity, virtual entity, virtual native entity (VNE), twin data, services, and communication connection. The concept of VNE is introduced to significantly enhance the practicability, security, and reliability of AUV testing by constructing diversified test scenarios. To implement the proposed model, a high‐fidelity underwater Cyberspace visualization is developed using Unreal Engine 5, which improves the granularity of virtual–real mapping and enhances human–computer interaction. An efficient data bridge plugin is implemented to ensure real‐time, stable bidirectional communication. The DT system (DTS) supports both offline simulation and online DT modes, enabling flexible testing from pure software simulation to real‐time virtual–physical interaction, thereby enhancing the credibility of algorithm validation. Two experimental cases conducted on this DTS demonstrate the technical feasibility and reliability of the proposed conceptual model. The approach provides a valuable reference for applying digital twin technology in underwater unmanned systems and accelerates the development of autonomous intelligent AUVs.","url":"https://doi.org/10.1002/rob.70220","authors":["Lin Yu","Lei Qiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-14T08:12:11Z","doi":"10.1002/rob.70220","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00030-0","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00030-0","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:47:36Z","doi":"10.1016/b978-0-443-30300-5.00030-0","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/ieeestd.2025.11150681","name":"IEEE Standard for Digital Twin Maturity Model and Assessment Methodology in Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2025.11150681","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-03T17:52:56Z","doi":"10.1109/ieeestd.2025.11150681","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00006-8","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00006-8","authors":["Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:36:57Z","doi":"10.1016/b978-0-32-399163-6.00006-8","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/978-3-031-25692-9_6","name":"The Pneumatic Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-25692-9_6","authors":["Frank U. Rückert","Michael Sauer","Tuomo Liimatainen","Dirk Hübner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-11T11:02:34Z","doi":"10.1007/978-3-031-25692-9_6","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.21125/edulearn.2026.1226","name":"A DIGITAL TWIN–DRIVEN AIOT FRAMEWORK FOR REAL-TIME TEACHING PERFORMANCE OPTIMIZATION IN SMART CLASSROOMS","source":"crossref","abstract":"","url":"https://doi.org/10.21125/edulearn.2026.1226","authors":["Ghaniya Ahmed al Hadhrami","Raqiya Salim al Mamari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-23T08:50:02Z","doi":"10.21125/edulearn.2026.1226","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6067938","name":"A digital twin-based study on the measurement and control of coupled rock-equipment response behaviors in steeply dipping stopes","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6067938","authors":["Yingyi ZHANG","Panshi Xie","Yongping Wu","Baofa Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T12:38:40Z","doi":"10.2139/ssrn.6067938","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.58286/33908","name":"A Digital Twin Platform for Smart Aircraft","source":"crossref","abstract":"Online Health Management (HM) plays a pivotal role in optimizing the lifecycle of aircraft while ensuring safety, reliability, and structural integrity. During service, aircraft structures experience complex cyclic loading, making accurate load analysis essential for effective life monitoring and health management. Capturing realistic load histories throughout operation enables more precise estimation of remaining useful life, supports optimization of design limits for improved material utilization, and enhances the fidelity of simulation models by aligning them with real operating conditions. Continuous load monitoring thus represents a key enabler for transitioning from conventional safe-life design philosophies toward advanced damage-tolerant and condition-based approaches. However, despite significant progress in sensing technologies and data processing methods, large-scale sensor deployment remains constrained by financial and logistical limitations, posing challenges to the realization of fully “smart” aircraft. This study presents recent developments from the H2020 AVATAR project, which aims to establish a digital twin framework for optimizing aircraft lifecycle performance. A novel sensing skin has been developed to enable the integration of a sparse sensor network on composite wing structures. The work explores the use of machine learning (ML) to enhance load monitoring capabilities, demonstrating that ML techniques can maintain high predictive accuracy in reconstructing structural responses, such as forces, strains, and stresses, even with limited sensor data (from strain gauges and accelerometers). The proposed approach is validated on a composite wing under realistic operational loading, highlighting its robustness and potential for real-time structural health monitoring in demanding aerospace environments.","url":"https://doi.org/10.58286/33908","authors":["Zahra Sharif khodaei","Ferri M.H. Aliabadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-17T15:12:57Z","doi":"10.58286/33908","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.7068044","name":"A Bayesian digital twin framework with amortized inference for full-bridge time-varying damping tracking and uncertainty quantification","source":"crossref","abstract":"Under operational conditions, bridge damping estimates may exhibit a coefficient of variation as high as 50% due to complex environmental and operational excitations, which is substantially larger than the variability typically observed in modal frequencies. However, existing frameworks are still limited in their ability to continuously track the structural damping baseline of bridges while quantifying the associated uncertainty under such heterogeneous operating conditions. To address this issue, this paper proposes a Time-Varying Digital Twin (TVDT) framework for uncertainty-aware tracking of full-bridge time-varying damping and operational residual damping analysis. The proposed framework makes three main contributions. First, an adaptive hierarchical Bayesian model updating method is developed, in which window-level observation quality and intra-window modal reliability are simultaneously inferred as latent variables without labeled supervision. This allows anomalous observation windows and poorly identified modes to be automatically down-weighted during model updating. Second, to balance computational efficiency and posterior accuracy in structural health monitoring, an amortized posterior inference framework based on optimal transport conditional flow matching (OTCFM) is introduced. By learning an optimal-transport-guided mapping from the population prior to the conditional posterior of structural parameters, the proposed method substantially reduces the number of forward FEM evaluations required by conventional sampling methods while maintaining posterior accuracy in the validation cases. Third, the full TVDT parameter posterior is propagated through the modal strain energy formulation, enabling uncertainty quantification of both the TVDT-derived structural modal damping and the operational residual damping term, defined as the difference between the OMA-identified operational total damping and the TVDT-derived structural damping baseline. The proposed framework is validated using a numerical cable-stayed bridge model and a monitored full-scale pedestrian bridge. The updated TVDT achieves modal frequency errors below 2% and MAC values exceeding 0.98. The results further show that the posterior uncertainty of the TVDT-derived structural damping is 7–44 times smaller than the OMA identification uncertainty across the analyzed mode groups, providing a stable structural damping baseline under varying operational conditions. The proposed framework offers a new perspective for continuous, uncertainty-aware, and physically interpretable structural state sensing in complex operational environments.","url":"https://doi.org/10.2139/ssrn.7068044","authors":["Haiyun Tian","Qiankun Zhu","Qiong Zhang","Junying Wang","Yongfeng Du"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-06T21:52:17Z","doi":"10.2139/ssrn.7068044","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.18502/rq457c78_36","name":"Chapter 36: Leveraging AI-coupled Digital Twin Ecosystems for all Sustainable Development Goals in the Built Environment","source":"crossref","abstract":"","url":"https://doi.org/10.18502/rq457c78_36","authors":["Noha Saleeb"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T23:47:11Z","doi":"10.18502/rq457c78_36","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.22617/spr250158","name":"Digital Twin Framework:","source":"crossref","abstract":"","url":"https://doi.org/10.22617/spr250158","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-02T00:17:42Z","doi":"10.22617/spr250158","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3403/30506238","name":"Internet of things (IoT) and digital twin. Best practices for use case projects","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30506238","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-10T23:40:31Z","doi":"10.3403/30506238","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.14711/thesis-991013270757703412","name":"Monitoring, path planning and scheduling of construction UGVs using digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-991013270757703412","authors":["Zhengyi Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-29T22:58:06Z","doi":"10.14711/thesis-991013270757703412","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.14264/0beb78f","name":"Developing a Digital Twin for Real-time Remote Ball Mill Operation","source":"crossref","abstract":"","url":"https://doi.org/10.14264/0beb78f","authors":["Juncong Qu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-04T02:11:14Z","doi":"10.14264/0beb78f","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/978-981-99-0252-1_7","name":"Digital Twin in Industry 4.0 and Beyond Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_7","authors":["Vukica Jovanovic","Murat Kuzlu","Umit Cali","Durdu Hakan Utku","Ferhat Ozgur Catak","Salih Sarp","Nasibeh Zohrabi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1_7","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.18535/ijecs/v15i03.5523","name":"Vision Transformer-Augmented Digital Twin with Continual Federated Learning for Autonomous Railway Prognostics and Health Management","source":"crossref","abstract":"","url":"https://doi.org/10.18535/ijecs/v15i03.5523","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-27T19:56:03Z","doi":"10.18535/ijecs/v15i03.5523","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2196/preprints.95241","name":"The Digital Twin Paradigm in Head and Neck Cancer: Clinical Opportunities and Challenges (Preprint)","source":"crossref","abstract":"UNSTRUCTURED Head and neck squamous cell carcinoma (HNSCC) represents a significant public health challenge. its treatment is characterized by high anatomical complexity and a critical need for functional preservation of speech, swallowing, and respiration. While multimodality care, including surgery, radiotherapy, and systemic therapy, has substantially improved patients’ survival, there are still high rates of life-altering toxicities and low response rates to immunotherapy. Current clinical decision-making largely relies on \"digital snapshots\"—static representations derived from population-based statistics and time-point-specific imaging—which usually fail to account for the rapid anatomical and biological change during treatment course. Digital twins hold great promise in accelerating scientific breakthroughs and transforming oncology treatment and precision medicine by the creations of high‑fidelity virtual patient representations that integrate real‑time biological, anatomical, and clinical data. In this viewpoint, we propose three interconnected digital twins to establish a conceptual framework for the HNSCC digital twin. Those digital twins include the anatomical twin, utilizing virtual surgical planning and augmented reality for geometric precision; the dosimetric twin, employing daily imaging and synthetic CT generation for automated adaptive radiotherapy; and the biological twin, integrating deep phenotyping, radiomics, and mechanistic omics to simulate individualized therapeutic trajectories. Beyond acute care, we explore the clinical utility of digital twins in navigating the \"de-escalation dilemma\" for HPV-associated disease and improving survive through digital phenotyping. With the advent of longitudinal data from medical-purpose Internet of Things (IoT) sensors and circulating tumor DNA (ctDNA) kinetics, digital twins can serve as active sentinels, detecting functional decline or subclinical events months before clinical manifestation. Furthermore, the implementation of synthetic control arms via virtual populations offers a venue to accelerate clinical trials and address ethical issues in rare molecular subtypes. Despite this potential, substantial barriers to implementation remain, including profound anatomical instability during treatment, the \"black box\" nature of deep learning algorithms, and the challenges of multiscale data integration. We provide a technical roadmap for the development of \"morphing\" digital twins—dynamic systems capable of continuous geometric and biological auditing. By bridging the gap between the macroscopic world of radiation physics and the microscopic world of cellular evolution, digital twins promise to shift the management of HNSCC from statistical probability toward personalized biological determinism, optimizing HNSCC management while maintaining the essential human functions of the patients.","url":"https://doi.org/10.2196/preprints.95241","authors":["Haolan Yu","Liehao Jiang","Zhuo Tan","Jie Wu","Minghua Ge"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-16T06:15:06Z","doi":"10.2196/preprints.95241","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/info17080760","name":"Composite Microservice Architecture of the Digital Twin","source":"crossref","abstract":"Industrial digital twins integrate physical objects, dynamic models, control systems, data analysis tools, 2D and 3D visualization, and existing software systems. Much research has focused on the functional composition of the digital twin, modeling, and application scenarios, while the organization of the digital twin as an evolving software system composed of technologically heterogeneous and autonomous subsystems remains insufficiently formalized. The goal of this study is to develop a conceptual composite architecture for an industrial digital twin, in which complex subsystems are viewed as highly interconnected and loosely coupled service components of a higher-order system. The research method is based on analogy, transfer, and adaptation of proven principles of distributed and microservice systems to the constraints of industrial digital twins. An architectural model is proposed that includes a physical object, a process model, SCADA subsystems, a unified data exchange subsystem, 2D and 3D representations, VR/AR components, and automated model building modules. The practical feasibility of the approach is demonstrated using a proof-of-concept digital twin of a methanol–ammonia co-production plant, integrating Honeywell UniSim Design R460.1, web-based SCADA, Unity, and specialized 2D and 3D representation generation modules. This demonstration confirms the feasibility of integrating independently developed subsystems and the technological heterogeneity of the solution, but does not constitute a production test of performance, scalability, or cost effectiveness. Requirements for contract stability, a consistent interaction environment, assigned data responsibility, version compatibility, and complete documentation are defined. Research limitations and areas for subsequent quantitative architecture validation are identified.","url":"https://doi.org/10.3390/info17080760","authors":["Eleonora Koltsova","Maksim Pysin","Alexey Lobanov","Anatoly Antipov","Alexey Arkhipov","Anton Perekatov","Roman Krasheninnikov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-10T10:23:50Z","doi":"10.3390/info17080760","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00015-9","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00015-9","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:26:42Z","doi":"10.1016/b978-0-443-14070-9.00015-9","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6805246","name":"Broad Learning System-Based Surrogate Modelling for Chiller Power Prediction in HVAC Digital Twin Applications: A Comparative Study","source":"crossref","abstract":"As buildings move toward low-carbon and intelligent operation, accurate chiller power prediction has become a key prerequisite for heating, ventilation and air conditioning (HVAC) energy management and digital twin applications. However, measured operating data usually involve strong variable coupling, nonlinear characteristics, redundant information and noise interference, which can reduce the generalization ability of data-driven models. Broad learning system (BLS) provides a fast and updateable modelling structure, but its prediction performance is affected by feature representation, parameter selection and data distribution. In this study, variables related to equipment operation, outdoor environment and load condition are screened, and six improved BLS-based models are compared using the same measured dataset, time-series data split and evaluation metrics. The results show that moderate enhancement-node expansion improves the basic BLS model, whereas excessive node expansion can cause overfitting. Feature decorrelation, residual-weighted learning and fuzzy feature mapping show different advantages under complex operating conditions. The RIME-optimized generalized maximum correntropy criterion-based BLS (GMCCBLS_RIME) achieves the best testing performance, with mean absolute error (MAE), root mean square error (RMSE) and coefficient of determination (R²) of 5.18 kW, 14.66 kW and 0.9713, respectively. This study clarifies the applicability and limitations of different BLS improvement strategies and provides a reference for surrogate model selection in HVAC digital twin modelling.","url":"https://doi.org/10.2139/ssrn.6805246","authors":["Nuo Wang","Jiwei Guo","Yiqiang Jiang","Cheng Sun","Sukumar Natarajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T20:12:36Z","doi":"10.2139/ssrn.6805246","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/futuretransp6030095","name":"Sustainable Parking Allocation for Smart Cities Using Digital Twin and Agentic Optimization","source":"crossref","abstract":"The rapid increase in the number of cars in large cities has made efficient parking management one of the major challenges of urban transportation systems. The present study aims to develop a smart framework for sustainable allocation of parking spaces in urban environments, and presents an integrated approach based on digital twin and multi-objective optimization. In this framework, a digital model of the urban parking system is created that is able to analyze real and simulated data related to parking demand, space occupancy status, and traffic flow and support optimal allocation decisions. The results of the analysis show that using the proposed framework can reduce parking search time by an average of 28%, make the distribution of parking use more balanced, and consequently reduce the amount of pollutant emissions from vehicle movement by about 17%. Also, sensitivity and scalability analyses show that the proposed model also has stable and reliable performance in large urban networks. These results indicate that the proposed framework can be used as an effective tool for developing sustainable parking management systems in smart cities.","url":"https://doi.org/10.3390/futuretransp6030095","authors":["Hamed Nozari","Zornitsa Yordanova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T15:01:18Z","doi":"10.3390/futuretransp6030095","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3791/69878","name":"Digital-Twin-Guided Protocol for Supply Chain Risk Prediction and Mitigation with Neural Sequence and Graph Models","source":"crossref","abstract":"","url":"https://doi.org/10.3791/69878","authors":["Xiaoyan Cui","Yanhua Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-07T00:02:17Z","doi":"10.3791/69878","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.5220/0013547700004664","name":"Algorithm Optimization and Verification of Transmission Line Digital Twin and Physical Model","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013547700004664","authors":["Kun Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-26T09:33:50Z","doi":"10.5220/0013547700004664","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6038476","name":"A dynamic predictive maintenance of wind turbine main bearings driven by digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6038476","authors":["Wentao Zhao","Chao Zhang","Jikai Zhang","Tongtong Liu","Li Jianjun","Fengshou Gu","Oscar  García Peyrano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-08T01:36:50Z","doi":"10.2139/ssrn.6038476","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3998/ars.9315","name":"New Perspectives on Religious Art through the Digital Twin: Two Stelae of Pārvatī from East India","source":"crossref","abstract":"","url":"https://doi.org/10.3998/ars.9315","authors":["Gerald Kozicz","Di Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T16:11:19Z","doi":"10.3998/ars.9315","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.26425/1816-4277-2026-5-67-78","name":"Development of a target architecture of an intelligent digital twin for it service organization management","source":"crossref","abstract":"In the context of the digital transformation of the IT services sector, traditional reactive management approaches demonstrate limited effectiveness, necessitating the search for high-tech tools to overcome information asynchrony and data fragmentation. The purpose of this research is to develop a target seven-layer architecture of an intelligent digital twin (IDT) as a strategic intelligent asset for a modern service organization. The methodological basis of the work is a systems approach to the design of complex organizational and economic objects. The international architectural framework, the DTC Platform Stack, is used as the key analytical toolkit, transformed by the author into a comprehensive management methodology for the development of a socio-economic system. In the course of the research, an original multi-layered IDT architecture was designed, ensuring the seamless integration of both tangible and, most importantly, key intangible organizational assets with their virtual representations within a single decision-making loop. An organizational and economic management mechanism based on the synergy of AI-technologies and personnel competencies is substantiated. It is proven that the implementation of IDT minimizes subjectivity in strategic decision-making by integrating artifi intelligence algorithms into the virtual representation layer. The developed architecture serves as a foundation for forming a “roadmap” for the digital transformation of service companies, providing predictive control of financial and economic indicators. The practical implementation of the proposed approach contributes to the increased competitiveness of IT service enterprises through the transition to a proactive management model and adaptive adjustment of operational cycles in real time.","url":"https://doi.org/10.26425/1816-4277-2026-5-67-78","authors":["V. V. Chuvaev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-26T15:30:35Z","doi":"10.26425/1816-4277-2026-5-67-78","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1088/1361-6501/ae8874/data1","name":"MATLAB Digital Twin GUI","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1361-6501/ae8874/data1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-20T06:24:10Z","doi":"10.1088/1361-6501/ae8874/data1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1088/1402-4896/ae7edc/v4/response1","name":"Author response for \"Dynamic Thermo-Opto-Electro Digital Twin Framework for Robustness-Aware Design and Limit Analysis of CZTSSe Thin-Film Solar Cells\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1402-4896/ae7edc/v4/response1","authors":["Surya Karan Singh","Amit Kumar Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T21:09:36Z","doi":"10.1088/1402-4896/ae7edc/v4/response1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.55041/ijsrem61839","name":"Digital Twin-Based Smart Renewable Energy System Using AI and IoT","source":"crossref","abstract":"","url":"https://doi.org/10.55041/ijsrem61839","authors":["Tushar Koundal Tushar Koundal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-30T10:04:13Z","doi":"10.55041/ijsrem61839","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6921519","name":"A Digital Twin–oriented framework for auditable energy-savings assessment and decision support in hot-mix asphalt production","source":"crossref","abstract":"Reliable measurement and verification (M&amp;V) of energy savings remains difficult in hot-mix asphalt production because fuel consumption is shaped by interacting weather, product, and operational factors. Aligned with emerging Industry 5.0 and Construction 5.0 agendas, this study develops a Digital Twin-oriented, monitoring-enabled life cycle assessment (LCA) methodology that transforms high-resolution plant data into interpretable factor-level operating states for auditable decision support. Key environmental, operational, and product-related drivers are discretised to construct stable reference baselines and enable like-for-like scenario comparison under preserved exogenous conditions. A case study at a batch-mix asphalt plant shows that interpretable operational guidelines coordinating production rate, reclaimed asphalt dosage, scheduling, and environmental conditions achieve robust fuel savings of approximately 5-6%. Factor-level conditioning reduces apparent fuel-consumption variability by more than 80%, supporting compliant M&amp;V and illustrating how Digital Twin-oriented intelligence can support human-centred, sustainability-oriented decision-making in asphalt production.","url":"https://doi.org/10.2139/ssrn.6921519","authors":["Jorge Salas","Juan  J. Márquez","Yepes Piqueras Víctor","Javier Loma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-11T19:37:29Z","doi":"10.2139/ssrn.6921519","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-3373-8177-0.ch001","name":"Digital Twin Technology in Healthcare","source":"crossref","abstract":"Digital Twin technology is transforming modern healthcare by creating real-time virtual replicas of patients, equipment, and hospital systems for monitoring, simulation, and predictive diagnostics. Through continuous synchronization with IoMT devices, electronic records, and wearable sensors, digital twins enable clinicians to analyze patient data dynamically, simulate treatment responses, and predict complications before onset. AI and machine learning enhance predictive accuracy, while blockchain ensures data integrity and secure interoperability. These systems also optimize hospital operations by forecasting maintenance, managing resources, and enabling virtual clinical trials. Despite challenges in data standardization, scalability, and privacy, digital twins mark a shift toward intelligent, proactive, and patient-centric healthcare ecosystems capable of delivering precision medicine and operational efficiency in smart hospital infrastructures.","url":"https://doi.org/10.4018/979-8-3373-8177-0.ch001","authors":["Shreha S. A.","Ravikumar R. N.","Aarthi S.","Satheesh Kumar A.","Tamilarasi Rajamani","Suganya R."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T15:14:42Z","doi":"10.4018/979-8-3373-8177-0.ch001","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/automation7040126","name":"An Explainable IoT-Enabled Predictive Maintenance Framework Using Digital Twin and Multi-Sensor Machine Learning","source":"crossref","abstract":"In Industry 4.0 manufacturing, predictive maintenance has emerged as a key focus to ensure the reliability of operations, minimize downtime, and contribute to equipment safety. This study proposes a predictive maintenance framework for additive manufacturing systems (AMSs) using an explainable artificial intelligence (XAI) and machine learning (ML) approach, which is supported by real-time multi-sensor monitoring and is synchronized with a digital twin architecture. A heterogeneous dataset of over 10,000 observations and 13 sensor attributes was gathered from a sensing architecture with ESP32 cameras designed to handle heterogeneous signals from thermal, environmental, mechanical and safety-related sensors. Domain-aware feature engineering was done to gain insights into operation indicators such as temperature instability, vibration degradation, smoke risk, humidity anomalies and aggregated maintenance risk scores. Multiple predictive models, such as the Random Forest model, XGBoost model, Logistic Regression model, K-Nearest Neighbours classifier, Multi-Layer Perceptron model, and ARIMA forecast model, were comparatively assessed under highly imbalanced maintenance conditions. The results showed that ensemble learning methods, especially XGBoost and MLP, had better recall and ROC-AUC for fault detection of maintenance-critical problems. SHAP and LIME analyses then showed that a number of physically meaningful indicators, including thermal instability, vibration anomalies, smoke-related features, and aggregated risk scores, have a significant impact on maintenance predictions and hence provide better operational interpretability and maintenance transparency.","url":"https://doi.org/10.3390/automation7040126","authors":["Chitranjanjit Kaur","Sumit Chopra","Chitta Tripathy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T16:00:43Z","doi":"10.3390/automation7040126","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.51903/zxxtac97","name":"AI-Driven Digital Twin for Urban Transport Infrastructure Network Operations Optimization","source":"crossref","abstract":"Urban transport infrastructure networks play a critical role in enabling efficient mobility and sustainable urban development in smart-city environments. However, many existing digital twin studies in transportation primarily focus on infrastructure monitoring and sensor-based traffic management. At the same time, limited research has explored the integration of artificial intelligence (AI) and digital twin simulation to optimize network-level transport operations. This study aims to develop a conceptual AI-driven digital twin framework for urban transport infrastructure networks to optimize traffic flow, network capacity, and overall mobility efficiency. The research adopts a simulation-based and experimental approach, combining transport network modeling using graph theory with synthetic traffic datasets that represent nodes such as intersections, terminals, and stations, as well as edges representing urban road corridors. The framework incorporates AI-based optimization models, including reinforcement learning and heuristic optimization techniques, to evaluate alternative operational scenarios such as baseline network operations, AI-assisted traffic flow optimization, and adaptive infrastructure management. Simulation results indicate the potential for improved network operational performance under controlled experimental conditions, including reduced congestion levels and more balanced traffic distribution across the network. These findings are limited to simulated environments and do not represent real-world validation. Consequently, the proposed framework provides a scalable, exploratory analytical approach for assessing transport operational strategies and supporting data-driven decision-making in urban transport infrastructure management and smart city mobility planning within simulation-based contexts.","url":"https://doi.org/10.51903/zxxtac97","authors":["Thabo Nkosi","Naledi Mokoena"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-25T12:21:27Z","doi":"10.51903/zxxtac97","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/s00146-026-03191-7","name":"Imaging urban doppelgängers: art and the digital twin in South Korea","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00146-026-03191-7","authors":["Melanie Wilmink"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T15:54:52Z","doi":"10.1007/s00146-026-03191-7","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/computers14090365","name":"Governance Framework for Intelligent Digital Twin Systems in Battery Storage: Aligning Standards, Market Incentives, and Cybersecurity for Decision Support of Digital Twin in BESS","source":"crossref","abstract":"Digital twins represent a transformative innovation for battery energy storage systems (BESS), offering real-time virtual replicas of physical batteries that enable accurate monitoring, predictive analytics, and advanced control strategies. These capabilities promise to significantly enhance system efficiency, reliability, and lifespan. Yet, despite the clear technical potential, large-scale deployment of digital twin-enabled battery systems faces critical governance barriers. This study identifies three major challenges: fragmented standards and lack of interoperability, weak or misaligned market incentives, and insufficient cybersecurity safeguards for interconnected systems. The central contribution of this research is the development of a comprehensive governance framework that aligns these three pillars—standards, market and regulatory incentives, and cybersecurity—into an integrated model. Findings indicate that harmonized standards reduce integration costs and build trust across vendors and operators, while supportive regulatory and market mechanisms can explicitly reward the benefits of digital twins, including improved reliability, extended battery life, and enhanced participation in energy markets. For example, simulation-based evidence suggests that digital twin-guided thermal and operational strategies can extend usable battery capacity by up to five percent, providing both technical and economic benefits. At the same time, embedding robust cybersecurity practices ensures that the adoption of digital twins does not introduce vulnerabilities that could threaten grid stability. Beyond identifying governance gaps, this study proposes an actionable implementation roadmap categorized into short-, medium-, and long-term strategies rather than fixed calendar dates, ensuring adaptability across different jurisdictions. Short-term actions include establishing terminology standards and piloting incentive programs. Medium-term measures involve mandating interoperability protocols and embedding digital twin requirements in market rules, and long-term strategies focus on achieving global harmonization and universal plug-and-play interoperability. International examples from Europe, North America, and Asia–Pacific illustrate how coordinated governance can accelerate adoption while safeguarding energy infrastructure. By combining technical analysis with policy and governance insights, this study advances both the scholarly and practical understanding of digital twin deployment in BESSs. The findings provide policymakers, regulators, industry leaders, and system operators with a clear framework to close governance gaps, maximize the value of digital twins, and enable more secure, reliable, and sustainable integration of energy storage into future power systems.","url":"https://doi.org/10.3390/computers14090365","authors":["April Lia Hananto","Ibham Veza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T12:04:28Z","doi":"10.3390/computers14090365","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.54254/2755-2721/2026.33034","name":"Digital Twin Technology in the Full Life Cycle Maintenance and Overhaul of Aviation Engines","source":"crossref","abstract":"With the rapid development of the information industry, technologies such as high-precision scanning and multi-physics field simulation have made continuous breakthroughs, driving the maintenance mode of aero-engines to upgrade from \"repair after failure\" to \"predictive maintenance\". Digital twin technology, with its main advantages of virtual-real mapping and real-time interaction, has become an ideal solution in this field. Leading enterprises and airlines at home and abroad have actively carried out related research and applications. Mainstream engine manufacturers and some airlines have achieved mature practical results. The \"Full Life Cycle Management\" operation and maintenance project jointly developed by China Eastern Airlines and Rolls-Royce is a model of digital twin technology in the full life cycle management of engines. This technology relies on three core enabling technologies: data collection, modeling and simulation, and real-time monitoring, effectively supporting the entire process control of engine design, manufacturing, operation, maintenance, and retirement. However, it also has some drawbacks such as high modeling costs and insufficient data interaction, which can be improved through technical optimization and standard unification. In addition, it also plays an important supporting role in engine supply chain collaboration, precise spare parts management, and the digital transformation of aviation enterprises.","url":"https://doi.org/10.54254/2755-2721/2026.33034","authors":["Ziyu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-28T07:50:08Z","doi":"10.54254/2755-2721/2026.33034","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1201/9781042001064-248","name":"Is it worth implementing a Digital Twin for road tunnel operation?","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781042001064-248","authors":["Q Chevrier","F Robert","F Murard","A Pardin","J Meraldi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-22T18:52:26Z","doi":"10.1201/9781042001064-248","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00020-2","name":"Preface","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00020-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:27:01Z","doi":"10.1016/b978-0-443-14070-9.00020-2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.20944/preprints202601.0392.v1","name":"Graph Neural Network-Infused Digital Twin Platform with Transfer Learning and Quantum-Safe Protocols for Resilient Power System Control and Markets","source":"crossref","abstract":"This study introduces a pioneering digital twin platform that embeds graph neural networks (GNNs) to replicate power system topologies, where buses function as nodes and transmission lines serves as edges, facilitating precise real-time state estimation and predictive analytics. Transfer learning enables efficient adaptation of pre-trained GNN models from extensive synthetic datasets, such as modified IEEE benchmarks, to operational environments with scarce data, slashing training requirements by approximately 60% while upholding robustness across varied grid configurations from local distribution to national wholesale markets. Quantum-safe protocols, drawing on NIST-approved post-quantum algorithms like Kyber for key encapsulation and Dilithium for digital signatures, secure the continuous data synchronization between physical infrastructure and virtual models, defending against quantum-enabled threats such as harvest-now-decrypt-later scenarios without introducing latency penalties.The hybrid edge-cloud deployment supports advanced resilient control mechanisms, encompassing model predictive control for stabilizing grid operations amid faults and optimization routines for electricity market clearing that enhance social welfare under stochastic conditions involving renewables and demand response. Validation occurs through rigorous simulations on IEEE 118-bus, 300-bus, and large-scale 10,000-bus networks subjected to false data injection attacks, renewable intermittency, and topological shifts. Results reveal 25% reductions in fault recovery durations, 18% gains in locational marginal price precision, and near-perfect (99.9%) resilience to encrypted interceptions. Ablation analyses affirm the additive value of GNN topology awareness, which alone reduces state prediction errors by 32% compared to recurrent baselines, alongside transfer learning's convergence acceleration and quantum cryptography's seamless integration.This platform bridges critical gaps in cyber-physical security and operational agility, positioning it as a deployable solution for smart grid evolution, including distributed energy integration and peer-to-peer transactions. Prospects for enhancement involve hybrid quantum-classical computing to further optimize control horizons, ensuring long-term viability in decarbonized energy ecosystems.","url":"https://doi.org/10.20944/preprints202601.0392.v1","authors":["Syed Kousar Niasi K"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-07T03:45:05Z","doi":"10.20944/preprints202601.0392.v1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.36001/phmap.2025.v5i1.4468","name":"Development of a HUMS for UAV hybrid power system using digital twin and AI techniques","source":"crossref","abstract":"Traditional aeronautical power systems, typically based on fossil fuels, present a series of limitations, including: i) the added weight associated with onboard fuel storage, ii) limited endurance due to fuel consumption, and iii) the emission of atmospheric pollutants. These constraints become particularly critical in application scenarios where extended endurance and environmental sustainability are key requirements. A notable example is represented by high-altitude, long-endurance (HALE) unmanned aerial vehicles (UAVs), whose deployment is rapidly expanding due to their suitability for a wide range of missions, including surveillance, environmental monitoring, and long-range communications. To enable the technological advancement of such platforms, alternative power generation architectures must be explored. In this context, hybrid electric power systems, integrating solar panels, lithium-ion batteries, and fuel cells, offer a promising solution. Solar and fuel cell subsystems ensure stable and continuous power generation over extended periods, including during night-time operations, while lithium-ion batteries provide high-power bursts during transient phases such as take-off, landing, or auxiliary system activation. Nevertheless, the use of these hybrid systems introduces unique challenges in terms of safety, reliability, and system complexity. They must operate in harsh environmental conditions and often require remote monitoring capabilities that enable condition-based intervention without interrupting critical missions. To address these challenges, this paper presents a Health and Usage Monitoring System (HUMS) for a hybrid power system composed of a solar panel, a lithium-ion battery, and a fuel cell, developed through the integration of digital twin modeling and artificial intelligence (AI) techniques. In particular, AI data-driven methods provide a powerful and flexible framework for monitoring the complex system composed of multiple energy sources. However, to achieve reliable performance, they require large and representative datasets, which are often unfeasible to obtain experimentally. To overcome this limitation, a digital twin of the hybrid power system is developed in the MATLAB/Simulink environment and used to simulate system behavior under both healthy and faulty conditions. The resulting synthetic data are then employed to train diagnostic/prognostic algorithms. This approach offers an efficient and scalable solution for implementing intelligent health monitoring in hybrid power systems, enhancing reliability, autonomy, and operational availability in long-endurance UAV applications.","url":"https://doi.org/10.36001/phmap.2025.v5i1.4468","authors":["Chiara Sperlì"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T04:37:34Z","doi":"10.36001/phmap.2025.v5i1.4468","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1088/1402-4896/ae7edc/v2/response1","name":"Author response for \"Dynamic Thermo-Opto-Electro Digital Twin Framework for Robustness-Aware Design and Limit Analysis of CZTSSe Thin-Film Solar Cells\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1402-4896/ae7edc/v2/response1","authors":["Surya Karan Singh","Amit Kumar Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T21:09:36Z","doi":"10.1088/1402-4896/ae7edc/v2/response1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.5194/egusphere-egu25-19077","name":"Integration of two models, Mobility Digital Twin and Water Digital Twin &amp;#8211; Matera Case Study","source":"crossref","abstract":"The Urban Intelligence approach views the city as a complex system that needs to be studied through the interaction of its different subsystems. Such complexity is addressed also in the virtual dimension, through the construction of Urban Digital Twins that allow to understand, control, and optimize the urban dynamics according to multidimensional objectives.In this context, we describe here a model to assess and evaluate the risks incurred by pedestrians and vehicles in a city under severe and extreme rainfall events that results in increasing of surface runoff, causing pluvial floods. This study is motivated by the increasing frequency of extreme events that seriously challenge the urban infrastructures in historical cities where urban design dates back centuries and constraints to structural modifications of the urban texture are often present.The approach is based on the design and integration of two models: first, a traffic macro-simulation model that integrates multi-objective demand and resources in an optimal and automated way; such model, also referred to as the Mobility Digital Twin, can predict vehicle and pedestrian flows over the segments of the city network. Second, a model of water dynamics over the same city network (Water Digital Twin), based on the morphological structure of the territory and on the 3D urban model, that integrates a hydrological-hydraulic coupled model that is able, starting from predetermined rainfall events, to estimate the water levels and flow rates in each portion of the investigated territory of rainfall.The two models are jointly used to create scenarios for different weather conditions, simulate recovery policies, identify the system&amp;#8217;s bottlenecks and design evacuation strategies, both at the strategic and at the operational level. The results of the experimentation will be analyzed and implemented within the SIT. Specifically, with Intelligent SIT, we define a framework for integrating data from diverse sources, including informative, participatory, and human-centric data, as well as outputs from Thematic Digital Twins and other sources. To accurately represent complex systems, we rely on detailed maps and in-depth spatial analysis, made possible through the capabilities of the SIT.A prototype application of the approach is developed for the City of Matera, within the Casa delle Tecnologie Emergenti project and the development of the city&amp;#8217;s Urban Digital Twin. Preliminary results validate the potential contribution of the models adopted and have been used to support local authorities in the design of recovery strategies in the presence of extreme weather events and in the planning of&amp;#160; mitigation actions on the city road network.Acknowledgments This research was supported by the &amp;#8220;Casa delle Tecnologie Emergenti di Matera&amp;#8221; project.","url":"https://doi.org/10.5194/egusphere-egu25-19077","authors":["Ida Giulia Presta","Giovanni Felici","Maurizio Vitale","Giuseppe Stecca","Carlo Gaibisso","Bruno Luigi Martino","Raffalele Albano","Ruggero Ermini","Giordana Castelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T05:26:19Z","doi":"10.5194/egusphere-egu25-19077","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.52793/acmr.2026.7(2)-118","name":"A Multi-Scale, Evidence-Orchestrated Digital Twin Architecture for Therapeutic Development: A Systems-Theoretic Framework","source":"crossref","abstract":"","url":"https://doi.org/10.52793/acmr.2026.7(2)-118","authors":["Jonathan RT Lakey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-25T09:40:52Z","doi":"10.52793/acmr.2026.7(2)-118","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1088/1402-4896/ae7edc/v3/response1","name":"Author response for \"Dynamic Thermo-Opto-Electro Digital Twin Framework for Robustness-Aware Design and Limit Analysis of CZTSSe Thin-Film Solar Cells\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1402-4896/ae7edc/v3/response1","authors":["Surya Karan Singh","Amit Kumar Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T21:09:36Z","doi":"10.1088/1402-4896/ae7edc/v3/response1","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/s10791-026-10048-6","name":"Condition prediction and maintenance decision support system for transmission equipment utilizing digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10791-026-10048-6","authors":["Xufei Liu","Yiran Tao","Shuling Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T05:33:20Z","doi":"10.1007/s10791-026-10048-6","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.35940/ijsce.f3704.16020526","name":"Digital Twin-Enabled Predictive Maintenance and Supply Chain Optimization for Fighter Aircraft","source":"crossref","abstract":"his paper examines how a digital twin can support predictive maintenance and improve supply chain performance in fighter aircraft operations. The study reviews existing practices in condition monitoring and identifies the limitations of conventional maintenance and inventory planning methods used for military aviation fleets. A conceptual framework is then proposed to show how sensor data, aircraft health models, maintenance planning tools, and supply chain systems can interact as a single ecosystem. The framework demonstrates how real-time information can be used to anticipate component degradation, schedule maintenance more effectively, and align spare-parts procurement with predicted requirements. The findings highlight the potential of digital-twin technology to enhance aircraft readiness and reduce operational disruptions by improving both technical decision-making and material availability.","url":"https://doi.org/10.35940/ijsce.f3704.16020526","authors":["Abdulmajeed M. Alghamdi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-28T10:18:21Z","doi":"10.35940/ijsce.f3704.16020526","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.62051/ijgem.v10n6.17","name":"Practical Applications of Digital-Twin-enabled Risk Management in Infrastructure Projects","source":"crossref","abstract":"Infrastructure risk management in China still mainly relies on manual inspections and empirical judgment, which is characterized by incomplete monitoring coverage and insufficient risk forecasting capability, and is no longer able to meet the requirements of refined safety control for modern engineering. The industry is beginning to use digital twins to transform traditional risk control models and optimize the effectiveness of engineering safety management. This paper takes transportation, water conservancy and municipal engineering as the main research domains, and analyzes typical projects including Beixi of Jiulong River, City-wide Underground Pipeline Network of Chongqing, and the Yangtze-to-Han River Water Diversion Project as research samples. This paper explores five core dimensions, including risk identification, assessment, risk response, emergency coordination, and full-lifecycle operation and maintenance. Based on multiple practical engineering projects, this paper summarizes the on-site application patterns of digital twins. According to the publicly available engineering data from the Ministry of Water Resources and the Ministry of Housing and Urban Rural Development, the short-term flood forecasting accuracy for the watershed stands at 90% after the application of this technology, and the timely repair rate of municipal pipeline networks exceeds 98%. This technology reduces missed hazard identification, shortens emergency response time and lowers losses resulting from safety incidents. Practical experience from field applications can provide valuable guidance for similar infrastructure projects.","url":"https://doi.org/10.62051/ijgem.v10n6.17","authors":["Yulin Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T04:36:34Z","doi":"10.62051/ijgem.v10n6.17","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.7753/ijcatr1508.1004","name":"Digital Twin-Enabled Cybersecurity Architecture for Predicting, Simulating, and Mitigating Advanced Persistent Threats Across Smart Manufacturing Systems","source":"openalex","abstract":"The accelerating digitalisation of industrial operations has transformed manufacturing into a highly interconnected ecosystem driven by Industrial Internet of Things (IIoT), cyber-physical systems, cloud computing, edge intelligence, and artificial intelligence.While these technological advancements have improved automation, operational efficiency, and real-time decisionmaking, they have also introduced increasingly complex cybersecurity challenges arising from expanded attack surfaces, interconnected assets, and continuously evolving threat landscapes.Among these threats, Advanced Persistent Threats (APTs) pose a particularly significant risk due to their stealth, persistence, and ability to infiltrate critical manufacturing infrastructure through multistage attack campaigns that often evade conventional security mechanisms.Existing cybersecurity solutions predominantly adopt reactive detection and response strategies, limiting their effectiveness in anticipating sophisticated attacks before operational disruption occurs.This study proposes a Digital Twin-enabled cybersecurity architecture for predicting, simulating, and mitigating Advanced Persistent Threats across smart manufacturing systems.The proposed framework integrates continuously synchronised digital twins with real-time operational data, AI-driven anomaly detection, attack graph modelling, behavioural analytics, and cyber-attack simulation to identify vulnerabilities, forecast attack progression, evaluate mitigation strategies, and support adaptive security decision-making without interrupting physical operations.Furthermore, the study presents a comprehensive architectural and performance evaluation framework that demonstrates how Digital Twin technology can strengthen cyber resilience, enhance threat preparedness, optimise incident response, and safeguard the reliability, continuity, and security of next-generation smart manufacturing environments.","url":"https://doi.org/10.7753/ijcatr1508.1004","authors":["Joshua Maxwellson"],"tags":["Computer science","Computer security","Architecture","Industrial Internet","Limiting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-29","doi":"10.7753/ijcatr1508.1004","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.54254/2755-2721/2026.bj32756","name":"Modeling Design and Simulation Analysis of Industrial Robot Assembly Lines Based on Digital Twin","source":"crossref","abstract":"In response to the increasing complexity of industrial robot assembly lines under the intelligent manufacturing paradigm, as well as the industry pain points of low efficiency, high costs, and significant safety risks associated with traditional physical debugging, this research applies Digital Twin (DT) technology to the entire lifecycle of assembly line development. Based on the five-dimensional DT model theory, a high-fidelity virtual twin environment is constructed by integrating geometric, physical behavior, and PLC control logic modeling. Utilizing methodologies such as literature analysis, kinematic modeling, and cyber-physical mapping via the OPC UA protocol, simulation analyses—including virtual commissioning and collision detection—are conducted. These processes achieve pre-verification of control logic and precise optimization of production cycles. Experimental results demonstrate that the developed DT system accurately identifies control logic defects during the design phase, reducing the commissioning cycle by over 30% and significantly enhancing robotic operational efficiency without the need for physical hardware. These findings provide theoretical support and a practical engineering reference for the digital transformation of automated production lines.","url":"https://doi.org/10.54254/2755-2721/2026.bj32756","authors":["Zida Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-13T06:34:32Z","doi":"10.54254/2755-2721/2026.bj32756","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3280/oa-1430-c898","name":"Trasimeno Digital Twin: sfide rappresentative per l’innovazione territoriale","source":"crossref","abstract":"","url":"https://doi.org/10.3280/oa-1430-c898","authors":["Marco Filippucci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-07T09:26:56Z","doi":"10.3280/oa-1430-c898","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00013-2","name":"Blockchain-based secure digital twin framework for the smart healthy city","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00013-2","authors":["Yiping Meng","Farzad Rahimian","Sergio Rodriguez","Yiming Sun","Hualiang Wei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:48:37Z","doi":"10.1016/b978-0-443-34174-8.00013-2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.18063/cef.v4i4.1902","name":"Innovative and Practical Integration of Professional Courses in Urban Spatial Planning Oriented towards Digital Twin","source":"crossref","abstract":"Digital twin has been widely adopted across all stages of modern urban spatial planning. It helps the sector move beyond conventional static planning modes and evolve toward data-supported intelligent planning featuring dynamic simulation. This industrial shift also puts forward new standards for talent training in urban spatial planning. At present, the existing curriculum for this major suffers from scattered content, inadequate integration of digital technologies and weak interdisciplinary links, which can hardly meet the talent requirements in the digital twin era. Combined with the technical features of digital twin and the overall reform of territorial spatial planning, this paper analyzes the practical grounds for curriculum integration. It constructs a tiered curriculum framework with progressive vertical logic and an interconnected horizontal layout. The study also explores feasible solutions covering virtual-physical combined teaching, curriculum content restructuring, interdisciplinary teacher teamwork, and a full-cycle assessment mechanism. By optimizing the curriculum framework and upgrading teaching modes, this work realizes effective integration of different specialized courses. The research outcomes can offer practical references for cultivating competent urban spatial planning professionals, adapting to digital twin applications.","url":"https://doi.org/10.18063/cef.v4i4.1902","authors":["Zixia Guo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T05:59:00Z","doi":"10.18063/cef.v4i4.1902","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.2139/ssrn.6095116","name":"Research on the High-Pressure Airless Spray Jet Model and Digital Twin Characterization Methods","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6095116","authors":["Tongjun Shi","Jiangmin Xu","Xuwen Jing","Shaohua Huang","Zheng Zhang","Chengbo Li","Hui Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-19T13:42:52Z","doi":"10.2139/ssrn.6095116","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3917/jie.pr1.0165","name":"Twin Transition – Hidden Links between the Green and Digital Transition","source":"crossref","abstract":"","url":"https://doi.org/10.3917/jie.pr1.0165","authors":["Matthias Müller","Stephanie Lang","Lea F. Stöber"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T15:33:13Z","doi":"10.3917/jie.pr1.0165","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4337/9781035348206.00019","name":"Improving agility and decision quality in value chains through digital twin integration","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035348206.00019","authors":["Vjeran Strahonja"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T15:19:03Z","doi":"10.4337/9781035348206.00019","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.4018/979-8-2600-0106-6.ch005","name":"AI-Digital Twin Synergy for Smart and Autonomous Wind Energy Systems","source":"crossref","abstract":"This chapter explores the synergy between Artificial Intelligence (AI) and Digital Twin (DT) technologies for advancing smart and autonomous wind-energy systems. It examines how AI-driven analytics and learning models enhance forecasting, control, and predictive maintenance, while DTs provide real-time virtual replicas for simulation and optimization. Their integration enables self-learning, adaptive, and resilient wind farms capable of real-time decision-making and performance optimization. The chapter also addresses implementation challenges, including data reliability, scalability, and cybersecurity, highlighting future research directions for sustainable, intelligent energy infrastructures.","url":"https://doi.org/10.4018/979-8-2600-0106-6.ch005","authors":["Cherala Vikram","Rampelli Manojkumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-27T15:48:48Z","doi":"10.4018/979-8-2600-0106-6.ch005","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/c2023-0-51982-2","name":"Digital Twin and Blockchain for Sensor Networks in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2023-0-51982-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-30T16:33:12Z","doi":"10.1016/c2023-0-51982-2","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/make8070210","name":"From Assets and Processes to Service Ecosystems: A Hierarchical Digital Twin Framework for Knowledge Representation","source":"crossref","abstract":"Digital twins (DTs) have become a central paradigm for modeling cyber–physical systems and digital infrastructures, yet the term is applied to very different representations—from physical assets to operational processes and service environments. This ambiguity obscures how the various DT interpretations relate to one another and at which level knowledge can be represented and extracted. This paper develops a conceptual and mathematical framework that treats asset-centric, process-centric, and service-centric DTs as successive levels of system abstraction. DTs are modeled as mappings between real-world entities and their digital representations, and the three paradigms are connected through explicit cross-layer dependencies, with service-centric twins shown to form a distinct level that cannot be reduced to asset and process descriptions alone; the framework is then extended to the ecosystem level as a digital service ecosystem twin. Because each level fixes the entities, features, and relations available to data-driven methods, the framework also specifies where machine-learning and knowledge-extraction tasks operate within layered DT architectures. The approach is illustrated and validated for structural and cross-layer consistency through a smart-city electricity ecosystem, providing a unified basis for interpreting the evolution of DTs toward service-oriented digital ecosystems.","url":"https://doi.org/10.3390/make8070210","authors":["Igor Kabashkin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-17T00:55:59Z","doi":"10.3390/make8070210","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1117/12.3108157","name":"Digital-twin-driven unambiguous structured light 3D imaging with physics aware learning","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3108157","authors":["Shijie Feng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T00:11:46Z","doi":"10.1117/12.3108157","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/978-981-92-2743-3_18","name":"Heritage Safeguarding in the Digital Era: Digital Twin Integration with SDGs","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-92-2743-3_18","authors":["Marwa Abdelalim","Eman S. Abowardah","Amal Abdelsattar","Wafa Labib"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-11T15:05:03Z","doi":"10.1007/978-981-92-2743-3_18","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00006-8","name":"Digital twin in design and control optimization of marine renewable energy and offshore wind energy systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00006-8","authors":["Nuh Erdogan","Majid Bhinder","Jimmy Murphy","Umit Cali","Mohammadreza Aghaei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:28:06Z","doi":"10.1016/b978-0-443-14070-9.00006-8","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.56726/irjmets89501","name":"AI-Powered Digital Twin Professor for Interactive Teaching and Q&amp;A  using Open-Source Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets89501","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-11T18:05:11Z","doi":"10.56726/irjmets89501","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1201/9781003655190-22","name":"Future of AI-based Applications in Education Sector","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003655190-22","authors":["T. Perarasi","R. Manoj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T10:56:20Z","doi":"10.1201/9781003655190-22","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1017/thg.2026.10049","name":"India’s Twin Paradox: Abundant Resource, Absent Research","source":"crossref","abstract":"Abstract India’s rising twin birth rate, driven by assisted reproductive technologies and delayed childbearing, generates approximately 30,000−40,000 twin pairs annually, yet this invaluable research resource remains systematically underutilized. While established twin registries in the United Kingdom, Australia, and Nordic countries have transformed understanding of disease heritability and gene-environment interactions, India, despite its 1.4 billion population and exceptional genetic diversity, lacks a coordinated infrastructure to capitalize on this scientific opportunity. Twin studies provide nature’s ideal control experiment, enabling researchers to disentangle genetic predisposition from environmental influences through comparison of monozygotic and dizygotic pairs, with discordant twins offering particularly powerful insights into modifiable risk factors. India’s extraordinary genetic heterogeneity, encompassing over 4600 distinct population groups, coupled with rapid environmental transitions including urbanization, dietary shifts, and pollution exposure, creates unparalleled natural experiments for investigating conditions demonstrating marked interpopulation variation such as type 2 diabetes, cardiovascular disease, and neuropsychiatric disorders. Establishing a National Twin Registry through a federated model linking existing birth registries with opt-in research participation, leveraging digital health infrastructure like Ayushman Bharat Digital Mission, would require modest investment while generating insights applicable across the disease spectrum. Initiating pilot registries in states with robust health systems such as Kerala, Tamil Nadu or Karnataka would enable iterative refinement before national expansion. International collaborations with established registries could accelerate development while preserving data sovereignty through robust governance frameworks. A National Twin Registry represents a strategic imperative for transitioning India from a research subject pool to a research leader in precision medicine, enabling Indian investigators to drive discovery addressing India-specific health priorities.","url":"https://doi.org/10.1017/thg.2026.10049","authors":["Ruby Dhar","Subhradip Karmakar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-23T11:37:52Z","doi":"10.1017/thg.2026.10049","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/scse70081.2026.11499784","name":"Readiness Dimensions for Digital Twin Adoption and Process Optimization in Sri Lanka's Large-Scale Apparel Sector","source":"crossref","abstract":"","url":"https://doi.org/10.1109/scse70081.2026.11499784","authors":["Dulanga Thennakoon","Chalani Oruthotaarachchi","Amila Withanaarachchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-06T19:38:06Z","doi":"10.1109/scse70081.2026.11499784","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/iccar69571.2026.11549885","name":"Development of a Multi-sensor Infrastructure for a Real-Time Digital Twin of a Retail Store","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccar69571.2026.11549885","authors":["Rafael Pous","Ausias Vives","Guillem Moreno","Pau Peirats"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T19:51:08Z","doi":"10.1109/iccar69571.2026.11549885","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.phycom.2026.103213","name":"Digital twin-enhanced UAV cooperation computing offloading for post-disaster emergency communication","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.phycom.2026.103213","authors":["Jialong Li","Shuang Xu","Zhaoming Hu","Xinyu Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T00:30:22Z","doi":"10.1016/j.phycom.2026.103213","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1364/ofc.2026.th2a.53","name":"A Digital Twin Assisted Raman Amplifier Failure Detection and Re-Optimization in Multi-band Optical Networks","source":"crossref","abstract":"We propose a digital-twin-assisted forward-inverse dual-network framework that achieves accurate pump-failure detection and performs online re-optimization within 2.5 s, restoring mean GSNR to the pre-fault level in C+L-band networks.","url":"https://doi.org/10.1364/ofc.2026.th2a.53","authors":["Rui Wang","Hong Lin","Junyuan Nie","Jiaming Liu","Jing Zhang","Kun Qiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-02T19:27:16Z","doi":"10.1364/ofc.2026.th2a.53","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icict68280.2026.11510982","name":"A Self-Improving Digital Twin Framework with Drift Detection and Transparency","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icict68280.2026.11510982","authors":["Shalini Kapoor","Rohit Kumar Goel","Jaishree Jain","Kamna Singh","Sanchi Goel","Praveen Kumar Gupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T19:46:53Z","doi":"10.1109/icict68280.2026.11510982","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icoei68323.2026.11541442","name":"A Federated Digital Twin Framework for Predictive ICU Ventilator Monitoring using IoT Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoei68323.2026.11541442","authors":["Theeraja A","Swetha M","C Gnana Kousalya","A S Loganathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T19:38:27Z","doi":"10.1109/icoei68323.2026.11541442","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icccn69946.2026.11662634","name":"RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccn69946.2026.11662634","authors":["Yuru Zhang","Ming Zhao","Qiang Liu","Ahmed Alkhateeb","Abhishek K. Agrawal","Qi Qu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T19:13:04Z","doi":"10.1109/icccn69946.2026.11662634","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/978-3-032-30863-4_19","name":"Digital Twin-Driven Supply Chain Resilience with Predictive and Optimization Techniques","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-30863-4_19","authors":["Vimal Dwivedi","Sabah Suhail","Mubashar Iqbal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T04:34:54Z","doi":"10.1007/978-3-032-30863-4_19","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.26634/jste.14.4.1094","name":"Integrating structural health monitoring and digital twin technology: AI-driven frameworks and applications for indian infrastructure","source":"crossref","abstract":"Structural Health Monitoring (SHM) is undergoing a fundamental transformation with the emergence of Digital Twin (DT) technology and data-driven intelligence. This research presents a comprehensive and integrated assessment of SHM DT frameworks enhanced by artificial intelligence and machine learning, with a particular focus on large-scale civil infrastructure applications and the Indian context. The study synthesises theoretical foundations, validated global case studies, and real-world performance metrics to demonstrate how continuous sensor data, physics-based modelling, and learning algorithms can collectively replace traditional inspection-driven maintenance practices. The proposed paradigm shifts infrastructure management from periodic, time-based interventions toward real-time, condition-based and predictive decision-making. Advanced machine learning techniques, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks, are shown to effectively surrogate computationally intensive finite element models, automate damage detection, and capture long-term structural behaviour under operational conditions. Verified international deployments report classification accuracies exceeding 97%, computational speed-ups of over two orders of magnitude, and substantial reductions in data transmission and storage costs through edge cloud hybrid architectures. For India’s critical infrastructure portfolio comprising over 125,000 railway bridges, extensive highway and metro networks, and thousands of water management structures, the study identifies a strong academic and technological foundation alongside persistent barriers to adoption. These include financial limitations, workforce shortages, regulatory fragmentation, environmental challenges, and data governance concerns. Drawing on global best practices and indigenous research capabilities, this work proposes a phased, scalable implementation roadmap tailored to Indian conditions. The findings establish that SHM enabled digital twins are technically viable, economically justified, and essential for enhancing infrastructure safety, resilience, and lifecycle performance in rapidly developing economies.","url":"https://doi.org/10.26634/jste.14.4.1094","authors":["Advait Kolkar","Ashwini L. K."],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T08:32:43Z","doi":"10.26634/jste.14.4.1094","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.12688/digitaltwin.17720.3","name":"Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications","source":"crossref","abstract":"Background The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous Artificial Intelligence (AI), distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.","url":"https://doi.org/10.12688/digitaltwin.17720.3","authors":["Min Shu","wanfei sun","jing zhang","xiaoyan duan","ming ai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-06T09:00:10Z","doi":"10.12688/digitaltwin.17720.3","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.36680/j.itcon.2026.005","name":"Scalable cloud-based transfer learning for building energy prediction from limited digital twin data","source":"crossref","abstract":"Data scarcity is one of the major barriers to using Machine Learning (ML) techniques for building energy predictions. Transfer Learning (TL) has proven to be an effective approach to address this issue. However, most TL approaches have not considered scalability, which is an important factor when using Digital Twin (DT) data for predictions. To bridge this gap, this research aims to develop a scalable TL approach for predicting building energy consumption from limited DT data using cloud computing. Two frameworks, using Microsoft Azure and Amazon AWS, are developed and implemented in a case study to demonstrate their applicability and practicality. The findings show that both frameworks possess unique strengths in terms of scalability and improving accuracy. Azure performed better in training time and resource efficiency, while AWS excelled in data preprocessing speed and prediction accuracy. This paper supports researchers and practitioners in developing a scalable model (i.e., cloud-based TL) for predicting building energy consumption with limited DT data. Future research can explore the cost of using cloud platforms for building energy prediction and expand the list of decision factors for platform selection.","url":"https://doi.org/10.36680/j.itcon.2026.005","authors":["Elham Mahamedi","Alaeldin Suliman","Martin Wonders"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-19T08:21:10Z","doi":"10.36680/j.itcon.2026.005","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1002/eng2.70829","name":"Defense Algorithm Based on Reinforcement Learning and Digital Twin for Distribution Protection Devices Adversarial Samples","source":"crossref","abstract":"ABSTRACT With the advancement of science and technology in power systems, protection devices for distribution equipment play a key role in safeguarding operations. However, they face security challenges such as misoperation induced by adversarial samples. Due to a lack of adaptability to time‐varying attack modes, traditional rule‐based or static defense mechanisms exhibit limited protective effectiveness. To address this issue, this study proposes a collaborative defense framework that integrates Digital Twin and Reinforcement Learning (RL) technologies. The framework constructs a virtual model of a distribution protection device, simulates multi‐dimensional attack scenarios in a virtual environment, and provides a training platform for the power analysis system. The designed dynamic adversarial training environment incorporates a physically constrained reward function, which ensures that defense decisions comply with power system safety boundaries while overcoming the feasibility challenges of deploying the algorithm on edge devices. Simulation results demonstrate that the misoperation rate is reduced to below 3.5% under sample attacks, and the attenuation index of generalization performance against unknown attack modes is maintained at a low level of 0.31. After lightweight processing, the inference delay of the model on embedded devices is controlled within 10 ms, meeting the real‐time requirements of power protection and offering a technical pathway for developing intelligent security protection solutions in power systems.","url":"https://doi.org/10.1002/eng2.70829","authors":["Wei Zhang","Shuai Zhang","Song Wang","Zheran Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T03:00:57Z","doi":"10.1002/eng2.70829","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.procs.2026.02.230","name":"Digital Twin Framework for Integrated Factory and Production Planning (FPP)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2026.02.230","authors":["Abdul Raheem","Patrick Dallasega","Hebert Alonso Medina Suni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-23T07:18:00Z","doi":"10.1016/j.procs.2026.02.230","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1504/ijict.2026.10079990","name":"A physics-informed neural network-based edge-cloud collaborative digital twin for predictive maintenance of aging railway signalling equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijict.2026.10079990","authors":["Guobin Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-16T13:00:35Z","doi":"10.1504/ijict.2026.10079990","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.nxmate.2026.102367","name":"WIRELY: An all-encompassing universal, scalable, corrective, digital twin for Additive Manufacturing systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.nxmate.2026.102367","authors":["Charbel Beaini","Wajih-Georges El Tayar","Kayssar Mikhael","Noel Maalouf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-31T15:37:53Z","doi":"10.1016/j.nxmate.2026.102367","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/jcsse68839.2026.11596965","name":"Tri-Tier Digital Twin Architecture for AI-Analytic Sensor Placement","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jcsse68839.2026.11596965","authors":["Chanmetha Promvijitrakarn","Supakrit Lapwongwattana","Sirawit Viriyaphitsathan","Nonthacha Tiangnoi","Pizzanu Kanongchaiyos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T19:37:20Z","doi":"10.1109/jcsse68839.2026.11596965","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.71448/bcds2671-3","name":"A Reproducible Digital-Twin Assessment of Replay, Narrowband Jamming, and Metadata Exposure in Simulated Maritime LoRaWAN Traffic","source":"crossref","abstract":"Low-Power Wide Area Networks (LPWANs), and LoRaWAN in particular, are increasingly used in maritime telemetry because they combine long-range communication, low-power operation, and low deployment cost. These same advantages, however, also create a security environment in which protocol misuse, targeted radio interference, and traffic predictability may generate substantial operational risk even when payload encryption remains intact. This paper presents a reproducible simulation study of three security-relevant threat surfaces in maritime LoRaWAN settings: replay attacks, deterministic narrowband jamming, and metadata-based re-identification exposure. The work adopts a digital-twin methodology in which a maritime-like LoRaWAN baseline is synthesized under EU863–870 MHz settings, temporally shaped to resemble port-oriented operational cycles, and then transformed through controlled attack injection and descriptive statistical analysis. The implemented generator creates 20{,}000 baseline transmissions from 180 simulated devices over a 72 h observation horizon, after which replay and jamming scenarios are added and device-level metadata-risk scores are computed from cadence regularity and parameter predictability. In the executed dataset, replay injection generated 400 delayed duplicates and remained statistically close to non-replay traffic across spreading factor, payload size, RSSI, and SNR. By contrast, deterministic narrowband jamming produced a highly pronounced SNR shift while leaving the remaining radio features comparatively stable. Device-level metadata-risk scores were measurable but moderate, indicating that metadata exposure remains relevant but model-dependent. The study demonstrates that a digital-twin framework can support systematic cybersecurity experimentation for maritime LPWAN environments without requiring direct access to proprietary operational data. It also shows that replay, jamming, and metadata leakage should be treated not as isolated technical curiosities, but as interrelated operational security concerns that emerge from the interaction of protocol behavior, temporal structure, and radio-layer observability.","url":"https://doi.org/10.71448/bcds2671-3","authors":["Adnan Asghar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-20T16:28:23Z","doi":"10.71448/bcds2671-3","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/iccpct70290.2026.11654798","name":"A Climate-Synchronized Digital Twin Paradigm for Multi-Infrastructure Urban Resource Orchestration Using Hybrid Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccpct70290.2026.11654798","authors":["K Lakshmi Prasanna","G Deepa Rani","Rajasehkar Nuvvusetty"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T19:14:08Z","doi":"10.1109/iccpct70290.2026.11654798","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.5935/jetia.v12i57.3128","name":"Monitoring Digital Twin Framework for Controlled Environment Agriculture Using Deep Learning and Edge Computing","source":"crossref","abstract":"","url":"https://doi.org/10.5935/jetia.v12i57.3128","authors":["S Sasikala","Sita Devi Bharatula"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-26T12:21:05Z","doi":"10.5935/jetia.v12i57.3128","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1007/s10922-025-10019-0","name":"Resource Allocation in IOV Based on Digital Twin Network: A Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10922-025-10019-0","authors":["Wiem Jlassi","Sana Ghannay","Sonia Mettali Gammar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T04:26:31Z","doi":"10.1007/s10922-025-10019-0","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.jval.2026.03.616","name":"EE322 COST SAVINGS OF AN AI-ENABLED DIGITAL TWIN PROGRAM IN PREDIABETES AND HEALTHY WEIGHT MANAGEMENT","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jval.2026.03.616","authors":["Tyler Koep","Caleb Brooks","Aleksandra V. Schifman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T16:45:41Z","doi":"10.1016/j.jval.2026.03.616","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icc59461.2026.11587124","name":"Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc59461.2026.11587124","authors":["Marwan Dhuheir","Thang X. Vu","Symeon Chatzinotas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T19:38:09Z","doi":"10.1109/icc59461.2026.11587124","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/iccworkshops63917.2026.11586429","name":"A Digital Twin-enabled Swarm Intelligence Approach to Distributed Processing in IoT Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops63917.2026.11586429","authors":["Micheal Osei-George","Anish Jindal","Gagangeet Singh Aujla","Raouf Abozariba","Yogesh Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T20:00:48Z","doi":"10.1109/iccworkshops63917.2026.11586429","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/iccpct70290.2026.11654950","name":"AI-Based Digital Twin System for Personalized Student Learning and Performance Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccpct70290.2026.11654950","authors":["Benedict.S.S Maria","S Nebal Akash","J Gold Beulah Patturose","R Priscilla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T19:13:53Z","doi":"10.1109/iccpct70290.2026.11654950","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.54941/ahfe1007153","name":"High-Fidelity Simulation and Digital Twin Framework for Real-Time Adaptive Human-Robot Collaboration","source":"crossref","abstract":"Effective real-time adaptation in human–robot collaboration requires significant testing and validation to avoid compromising human safety and improve task efficiency. Developing and validating such systems in real-world industrial environments is resource-intensive. This paper presents a high-fidelity simulation and visualisation platform for shared robotic workspaces that supports both synthetic data generation and digital twin operation in Unity 3D. The platform models and visualises human body movement and gaze behaviour, enabling the representation of body movement and visual attention during collaborative manufacturing tasks. Using procedurally generated scenarios, the system supports controlled and repeatable experimentation for the development and evaluation of real-time adaptation strategies. When integrated with real sensor and eye-tracking data, the platform operates as a digital twin, allowing real-time mirroring, monitoring, and analysis of human–robot interactions under operational conditions. By enabling both offline simulation and online system integration, the platform facilitates rapid prototyping and systematic assessment of real-time adaptation approaches, helping bridge the gap between theoretical methods and practical deployment in intelligent human–robot collaborative systems.","url":"https://doi.org/10.54941/ahfe1007153","authors":["Isaiah Nassiuma","Ella-mae Hubbard","Yee Mey Goh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-14T10:18:00Z","doi":"10.54941/ahfe1007153","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.23919/ifipnetworking70592.2026.11579111","name":"TwinAI-Demo: Real-Time Digital Twin and Graph Reinforcement Learning for Interactive Water Distribution Network Management","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ifipnetworking70592.2026.11579111","authors":["Pierluigi Locatelli","Pietro Spadaccino","Marco Casalbore","Tiziana Cattai","Stefano Servillo","Francesca Cuomo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-30T21:15:34Z","doi":"10.23919/ifipnetworking70592.2026.11579111","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/ccnc65079.2026.11366524","name":"An Adaptable Digital Twin Architecture for Smart and Interoperable Electrical Roads","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc65079.2026.11366524","authors":["Gauthier Le Tat","Ilyes Ahmim","Abderrezak Rachedi","Ahmed Mebarki","Mohamed Chachoua","Fabrice Vienne"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-04T20:45:15Z","doi":"10.1109/ccnc65079.2026.11366524","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/ccnc65079.2026.11366350","name":"Digital Twin-Based Security Function in the Space Domain","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc65079.2026.11366350","authors":["Masataka Nakahara","Keizo Sugiyama","Yasuaki Kobayashi","Ayumu Kubota"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-04T20:45:15Z","doi":"10.1109/ccnc65079.2026.11366350","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/compsac69091.2026.00394","name":"Measuring the Cost of Trust: Blockchain Integrity Verification Overhead in Energy Digital Twin Pipelines","source":"crossref","abstract":"","url":"https://doi.org/10.1109/compsac69091.2026.00394","authors":["Silvio Meneguzzo","Nicolò Bertozzi","Marco Sacchet","Alessandro Mozzato","Alfredo Favenza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T19:06:26Z","doi":"10.1109/compsac69091.2026.00394","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00017-8","name":"Digital twin for smart wireless sensor networks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00017-8","authors":["Abidemi Emmanuel Adeniyi","Halleluyah Oluwatobi Aworinde","Odunayo Dauda Olanloye","Joseph Bamidele Awotunde","Blessing Oluwatobi Olorunfemi","Peace Busola Falola","John Babalola"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:44:17Z","doi":"10.1016/b978-0-443-30300-5.00017-8","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.35784/bud-arch.6039","name":"Building performance analysis of digital twin based on paper documentation","source":"crossref","abstract":"Dokument opisuje analizę i optymalizację cyfrowego bliźniaka, który został stworzony na podstawie dokumentacji papierowej. Uwzględniono możliwości wykorzystania modelu na różnych etapach życia budynku oraz trudności, które pojawiają się, gdy jedyną dokumentacją, jaką dysponujemy, jest dokumentacja papierowa. W tym celu wykonanie modelu jest trudniejsze, ale przynosi warianty oceny, jakie zmiany będą korzystne i wykonalne w celu zmniejszenia zużycia energii. W tym celu wykorzystano model wykonany w Autodesk Revit i analizę w Autodesk Insight w trzech wersjach: projekt zgodny z dokumentacją papierową, budynek zgodny ze stanem rzeczywistym oraz budynek, który został zoptymalizowany na podstawie wyników z dwóch pierwszych modeli.","url":"https://doi.org/10.35784/bud-arch.6039","authors":["Alicja Krajewska","Edyta Sobieraj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-02T06:37:28Z","doi":"10.35784/bud-arch.6039","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/mpcon69668.2026.11508358","name":"Intelligent Dismantling and Identification System for Power Materials Based on Digital Twin and 3D Point Cloud Segmentation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mpcon69668.2026.11508358","authors":["Fangzheng Lu","Jiamian Wang","Qi Yang","Hongwei Zhao","Li Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T03:00:58Z","doi":"10.1109/mpcon69668.2026.11508358","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1504/ijlsm.2026.10078403","name":"Industry 5.0: First Steps towards a Digital Twin for Managing Non-Physical Objects in Supply Chains","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijlsm.2026.10078403","authors":["Alexey P. Tyapukhin","Eugeniya Tarasenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T13:00:07Z","doi":"10.1504/ijlsm.2026.10078403","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1080/07373937.2026.2630297","name":"Digital twin technology: A new era for cost-effective dryer design and optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1080/07373937.2026.2630297","authors":["Arun S. Mujumdar","S. M. Hosseinalipour","Amirhossein Barzigar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T17:24:57Z","doi":"10.1080/07373937.2026.2630297","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.iot.2026.101964","name":"ShardTwin: Domain-aware blockchain architecture for static digital twin orchestration in industrial cyber-physical systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.iot.2026.101964","authors":["Phuong-Dai Bui","Tuan-Dung Tran","Van-Hau Pham"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-05T15:15:03Z","doi":"10.1016/j.iot.2026.101964","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icoeca68095.2026.11485521","name":"Environmentally Resilient Crop Prediction Framework using Digital Twin and XGBoost and Remote Sensing Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoeca68095.2026.11485521","authors":["A. Kalaivani","V. Asha","J. Sathya","Ranjitha","R Manogna","Ravishankar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T19:57:01Z","doi":"10.1109/icoeca68095.2026.11485521","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/icphm69567.2026.11585439","name":"An Embedded Digital Twin for Buck-Boost: Model Decoupling and Hybrid-RLS based Real-Time Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icphm69567.2026.11585439","authors":["Shaoshuai Wang","Ruiqing Ma","Kuan Cao","Ziqiang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-06T19:42:36Z","doi":"10.1109/icphm69567.2026.11585439","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.vehcom.2026.101038","name":"Quantum federated reinforcement learning-based resource allocation scheme for digital twin-aided D2D groups with NOMA in 6G networks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.vehcom.2026.101038","authors":["Haneef Khan","Ishan Budhiraja","Atul Kumar Srivastava"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-02T06:02:38Z","doi":"10.1016/j.vehcom.2026.101038","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1007/s00146-026-02875-4","name":"Personalised LLMs and the risks of the digital twin metaphor","source":"crossref","abstract":"Abstract Can an AI truly be your digital twin? Technology companies, startups, and even academic researchers increasingly claim so. From grief-bots that promise to let you talk with deceased loved ones to clinical tools designed to predict patients' treatment preferences, personalized Large Language Models are being marketed as faithful replications of individual identity, personality, and values. The digital twin label—borrowed from industrial engineering, where it describes computational models precisely mirroring physical systems—lends these claims an aura of scientific credibility. But is this metaphor appropriate, or is it dangerously misleading? This paper argues that applying the digital twin metaphor to personalized LLMs constitutes a systematic mischaracterization with serious ethical consequences. To this end, we first outline three plausible interpretations of the PDT metaphor—behaviorist, representational, and phenomenal. We then show that current AI systems do not satisfy the conditions of any of these interpretations, rendering the PDT metaphor ultimately inappropriate. The consequences of this metaphorical overreach are far from abstract. When vulnerable individuals—grieving families, patients facing incapacity, people seeking psychological support—interact with systems marketed as preserving human essence, they risk forming attachments to sophisticated illusions. The metaphor fosters misplaced trust, distorts public understanding of AI capabilities, and shapes policy debates on false premises. As these technologies proliferate into healthcare, legal proceedings, and intimate relationships, metaphorical precision becomes an ethical imperative. We conclude by proposing alternative frameworks that honestly represent what these systems can and cannot do.","url":"https://doi.org/10.1007/s00146-026-02875-4","authors":["Marco Annoni","Davide Battisti","Beatrice Marchegiani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T12:51:44Z","doi":"10.1007/s00146-026-02875-4","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/vnc69225.2026.11629144","name":"To Charge or Not to Charge: Autonomous Battery Digital Twin for Electric Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vnc69225.2026.11629144","authors":["Lakshmi Poola","Kaushik Raghunandan Hasabnis","Prabhakar T V"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T19:10:31Z","doi":"10.1109/vnc69225.2026.11629144","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/jcs69321.2026.11366027","name":"Digital Twin-Assisted High-Precision Massive MIMO Localization in Urban Canyons","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jcs69321.2026.11366027","authors":["Ziqin Zhou","Hui Chen","Gerhard Steinböck","Henk Wymeersch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-04T20:45:10Z","doi":"10.1109/jcs69321.2026.11366027","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1088/1755-1315/1582/1/012010","name":"BIM interoperable digital twin for building energy simulations and predictive studies","source":"crossref","abstract":"Abstract The Architecture, Engineering and Construction (AEC) sector is undergoing a digital transformation, with Digital Twins (DT) emerging as a key innovation. A Digital Twin is a virtual replica of physical asset, process, or system that integrates artificial intelligence, machine learning and data analytics to simulate real-world behaviour and predict future states. In this study, a model level passive DT is developed for existing UMAR unit. The process begins with BIM model, which initially contains interoperable errors. The BIM model is further enriched with as-built data and simulated using an ICD-integrated engine until the simulated outputs closely align with measured data; this iterative process is referred to as DT calibration. Calibration errors of 1.68% for heating and 0.86% for cooling were achieved, both within standard limits. The calibrated DT is tested for predictive capabilities under climate change scenarios, shallow retrofit interventions, and Socio-Economic-Environmental (SEE) indicators. Financial feasibility of shallow retrofits is evaluated using cost–benefit analyses presented as “Performance Contracts.” SEE indicators further highlight trade-offs of each intervention, providing inputs for evidence-based policy development. Overall, the study demonstrates DTs’ potential to advance sustainable built environments and accelerate retrofit and renovation strategies.","url":"https://doi.org/10.1088/1755-1315/1582/1/012010","authors":["Rithesh Chajed","Bruno Daniotti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-02T14:33:04Z","doi":"10.1088/1755-1315/1582/1/012010","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.jii.2026.101122","name":"Building operational resilience: A digital twin approach in mixed-model assembly line","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jii.2026.101122","authors":["Virginia Fani","Ilaria Bucci","Monica Rossi","Romeo Bandinelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-25T23:59:58Z","doi":"10.1016/j.jii.2026.101122","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1109/infocom59046.2026.11571214","name":"Digital Twin-Assisted Belief-State Reinforcement Learning for Latency-Robust ISAC in 6G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/infocom59046.2026.11571214","authors":["Himanshu Tiwari","Binayak Kar","and Priyanshu Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T19:38:15Z","doi":"10.1109/infocom59046.2026.11571214","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.3390/systems14091049","name":"Correction: Alharbi, S. MORL-SGF: A Governance-Aware Multi-Objective Reinforcement Learning Framework with Digital Twin Policy Validation for Sustainable Smart Cities. Systems 2026, 14, 294","source":"crossref","abstract":"References [...]","url":"https://doi.org/10.3390/systems14091049","authors":["Saad Alharbi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-26T08:11:15Z","doi":"10.3390/systems14091049","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1108/ejim-02-2026-056","name":"Guest editorial: Digital innovation ecosystem: profiting from technology in the era of twin transition","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ejim-02-2026-056","authors":["Domenica Barile","Giustina Secundo","Antonio Cimino","Mats Magnusson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-03T19:18:30Z","doi":"10.1108/ejim-02-2026-056","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"doi:10.1016/j.ijis.2026.100225","name":"The Twin Transition and Carbon Emissions per Capita: Digital-Green Complementarities and Configuration Effects","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijis.2026.100225","authors":["Rebean Al-Silefanee","Ramazan Uctu","Serife Koc"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-19T23:26:39Z","doi":"10.1016/j.ijis.2026.100225","addedAt":"2026-09-01T01:47:41.531Z","updatedAt":"2026-09-01T01:47:41.531Z"},{"id":"oa:W4387711897","name":"From digital twin paradigm to digital water services","source":"openalex","abstract":"Abstract In the context of water distribution networks (WDNs), researchers and technicians are actively working on new ways to transition into the digital era. They are focusing on creating standardized methods that fit the unique characteristics of these systems, with a strong emphasis on developing customized digital twins. This involves combining advanced hydraulic modeling with advanced data-driven techniques like artificial intelligence, machine learning, and deep learning. This paper begins by giving a detailed overview of the important progress that has led to this digital transformation. It highlights the potential to create interconnected digital water services (DWSs) that can support all aspects of managing, planning, and designing WDNs. This approach introduces standardized procedures that allow a continuous improvement of the digital representation of these networks. Additionally, technicians benefit from DWSs developed as QGIS software plugins. These services strategically enhance their understanding of technical decisions, improving logical reasoning, consistency, scalability, integrability, efficiency, effectiveness, and adaptability for both short-term and long-term management tasks. Notably, the framework remains adaptable, ready to embrace upcoming technological advancements and data gathering capabilities, all while keeping end-users central in shaping these technical developments.","url":"https://doi.org/10.2166/hydro.2023.237","authors":["Francesco Ciliberti","Luigi Berardi","Daniele Laucelli","Andres David Ariza","Laura Enríquez","Orazio Giustolisi"],"tags":["Adaptability","Scalability","Consistency (knowledge bases)","Computer science","Toolbox"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-21","doi":"https://doi.org/10.2166/hydro.2023.237","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4403377851","name":"Transforming plant-based waste and by-products into valuable products using various “Food Industry 4.0” enabling technologies: A literature review","source":"openalex","abstract":"The last several years have seen unprecedented strain on food systems as a result of pandemics, climate change, population growth, and urbanization. Thus, academic and scientific communities now view global food security as a critical issue. However, food loss and waste are a major challenge when adopting food security and sustainability strategies, since a large proportion of food is lost or wasted along the food supply chain. In order to use resources efficiently and enhance food security and sustainability, food waste and by-products must be reduced and properly valorized. Plant-based food production generates various by-products which are generally rich in nutrients and bioactive compounds. Emerging technologies have been effectively employed to extract these valuable compounds with health benefits. Recently, Industry 4.0 technologies such as artificial intelligence, the Internet of Things, blockchain, robotics, smart sensors, 3D printing, and digital twins have a great deal of potential for waste reduction and by-products valorization in food industry. Reducing food waste not only benefits the environment, but also reduces greenhouse gas emissions and thus contributes to sustainable resource management. This review provides up-to-date information on the potential of Industry 4.0 for converting plant-based waste and by-products into valuable products. Recent studies showed that innovations in Industry 4.0 provide attractive opportunities to increase the effectiveness of manufacturing operations and improve food quality, safety and traceability. By leveraging Food Industry 4.0, companies can transform plant-based waste and by-products into valuable products and contribute to a more sustainable and efficient food production system.","url":"https://doi.org/10.1016/j.scitotenv.2024.176872","authors":["Abderrahmane Aït‐Kaddour","Abdo Hassoun","Inès Tarchi","M. Loudiyi","Oumayma Boukria","Yana Cahyana","Fatih Özoğul","Khaoula Khwaldia"],"tags":["Food security","Sustainability","Food industry","Business","Traceability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-14","doi":"https://doi.org/10.1016/j.scitotenv.2024.176872","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4382777560","name":"Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography","source":"openalex","abstract":"Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks. This study aimed to assess the feasibility of different digital dentition models over that of plaster casts. Plaster models, alginate impressions, intraoral scan (IOS) images, and CBCT images of 20 patients were obtained. The desktop model scanner was used to scan the alginate impression twice, five minutes and two hours after impression-making. Using an IOS, the full arch was scanned in segments using CS 3600 and simultaneously with i700 wireless. The digital twins obtained from the alginate impression and IOS were superimposed with those obtained from the plaster cast. The differences and distances at each reference point were measured. Scans of alginate impressions after two hours showed the greatest discrepancies, but these were all less than the CBCT voxel size of 0.39 mm. Alginate impression scans and IOS are suitable supplements to CBCT compared to the plaster model. Accuracy can be improved by scanning the alginate impression within five minutes or by intraoral scanning of the entire arch with segmentation.","url":"https://doi.org/10.1038/s41598-023-37774-x","authors":["Joo-Hee Lee","Hye-Lim Lee","In Young Park","Sung-Woon On","Soo‐Hwan Byun","Byoung‐Eun Yang"],"tags":["Impression","Cone beam computed tomography","Scanner","Plaster Casts","Dental arch"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-30","doi":"https://doi.org/10.1038/s41598-023-37774-x","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7164492202","name":"Digital twins in agriculture: A systematic literature review on modeling, semantics, and interoperability","source":"openalex","abstract":"The adoption of Digital Twins in agriculture has increased significantly in recent years, driven by advances in sensing technologies, computational modeling, and data-driven analytics. As agricultural systems become increasingly complex and interconnected, the ability to integrate heterogeneous data sources and enable consistent data exchange across platforms has become a critical requirement. However, challenges related to interoperability and data integration continue to hinder the effective deployment of agricultural Digital Twins. This paper presents a Systematic Literature Review on the application of Digital Twins in agriculture, focusing on modeling approaches, semantic representations, and interoperability mechanisms. Following a structured review protocol, studies published between 2016 and January 2026 were retrieved from major scientific digital libraries. The multi-stage screening process reduced an initial dataset of 6,968 records to a final corpus of 62 primary studies. The results show a strong concentration of research in semantic and knowledge modeling, interoperability and integration mechanisms, and analytics-driven decision support. Crop- and plant-oriented Digital Twins dominate the literature, while the digitalization of agricultural machinery and large-scale integrated farming systems remains comparatively limited. The review also identifies key research gaps related to the lack of standardized architectures, limited cross-asset integration, and scarce large-scale field validation. These findings provide a consolidated perspective on the current state of Digital Twin research in agriculture and outline future research directions toward more interoperable and scalable digital agricultural ecosystems.","url":"https://doi.org/10.1016/j.atech.2026.102283","authors":["Pedro Henrique Morgan Pereira","Giovana Costa Piazza","Khalid Usman","Luan Santos Comelli da Silveira","Vincius Cella Ceriotti","Yuri de Souza Pazin","Edison Pignaton de Freitas"],"tags":["Systematic review","Interoperability","Computer science","Data science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-12","doi":"https://doi.org/10.1016/j.atech.2026.102283","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7128804796","name":"Balancing indoor environmental quality and energy efficiency in buildings using digital twins technology: scientometric review and multi-layer conceptual framework","source":"openalex","abstract":"In recent years, the use of Digital Twin (DT) technology has grown steadily to maintain high Indoor Environmental Quality (IEQ) while improving energy efficiency in buildings. However, the majority of studies still address these domains in parallel with limited real-time integration, multi-IEQ coverage or user-centred feedback loops. This paper performs a combined scientometric and thematic review of 109 peer-reviewed studies (2016–2025), retrieved from Scopus and Web of Science, following PRISMA methodology to map the conceptual evolution and methodological progress of IEQ-energy DT research field. Scientometric analysis reveals publication trends, co-citation and co-occurrence patterns and conceptual evolution using VOSviewer, while structured content analysis refines these insights into four main thematic clusters: (1) IEQ Monitoring through IoT Sensing, (2) IEQ and Energy Balance, (3) Digital Twin Frameworks and Applications, and (4) Control Actions. Together, these analyses indicate a technologically advanced but operationally fragmented field: IEQ modelling remains largely thermal-centric, feedback loops are incomplete, and real-time co-optimization is rarely validated beyond single-site pilots. Building on these findings, the study proposes a multi-layer conceptual framework that integrates data acquisition, hybrid modelling, semantic integration, and multi-objective control into a continuous adaptive loop. The framework operationalizes comfort-energy balance as a measurable, feedback-enabled condition, supporting the transition of DTs from static monitoring tools to self-learning and occupant-responsive systems. Overall, the study provides consolidated evidence and a forward-looking roadmap for interoperable and human-centered DTs capable of the dynamic regulation of IEQ and energy performance in smart and sustainable buildings.","url":"https://doi.org/10.1016/j.enbuild.2026.117147","authors":["Olympia Ageli","Athanasios Chassiakos"],"tags":["Efficient energy use","Conceptual framework","Computer science","Environmental science","Environmental quality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-14","doi":"https://doi.org/10.1016/j.enbuild.2026.117147","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2739358083","name":"Beyond pilotitis: taking digital health interventions to the national level in China and Uganda","source":"openalex","abstract":"BACKGROUND: Innovation theory has focused on the adoption of new products or services by individuals and their market-driven diffusion to the population at large. However, major health sector innovations typically emerge from negotiations between diverse stakeholders who compete to impose or at least prioritise their preferred version of that innovation. Thus, while many digital health interventions have succeeded in terms of adoption by a substantial number of providers and patients, they have generally failed to gain the level of acceptance required for their integration into national health systems that would promote sustainability and population-wide application. The area of innovation considered here relates to a growing number of success stories that have created considerable enthusiasm among donors, international agencies, and governments for the potential role of ICTs in transforming weak national health information systems in middle and low income countries. This article uses a case study approach to consider the assumptions, institutional as well as technical, underlying this enthusiasm and explores possible ways in which outcomes might be improved. METHODS: Literature review and case study analysis. RESULTS: The two systems considered have had considerable success in terms of gaining and maintaining government support and addressing the concerns of providers without compromising their core elements. In Uganda, the system has flourished in spite of severe resource constraints, using a participatory approach that has encouraged a high level of community engagement. In China, concern with past failures generated the political will to build a high quality surveillance system, using the latest technology and drawing on a highly skilled human resource base. CONCLUSIONS: Both example stress the importance of recognising the political, social and historical context within which information systems have to function. Implementers need to focus as much on the perceptions, attitudes and needs of stakeholders as on the technology. Implementers should distinguish between factors which may influence engagement at an institutional level and those aimed at supporting and supervising individuals within those institutions. Finally, we would suggest that designing interoperability into systems at the outset, rather than assuming that this can be achieved at some point in the future, may prove far easier in the longer term.","url":"https://doi.org/10.1186/s12992-017-0275-z","authors":["Fei Huang","Sean Blaschke","Henry C. Lucas"],"tags":["Government (linguistics)","Public relations","Enthusiasm","Population health","Population"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-07-25","doi":"https://doi.org/10.1186/s12992-017-0275-z","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4376600283","name":"Digital Twin Technology for Tool Condition Monitoring: A Review of Recent Research","source":"openalex","abstract":"This research review article examines the use of Digital Twin technology (DT) in Tool Condition Monitoring (TCM). DT is a powerful technology that enables the creation of an exact digital replica of real-world entities, such as machines and tools, providing an integrated representation of various physical and virtual components. By combining real-time data with digital models of the tools, DT can be used to monitor tool condition and detect potential issues before they become serious. This review article surveys recent research on the use of DT in TCM and discusses the challenges that need to be addressed in order to make DT a viable solution for industrial tool monitoring. It also provides insight into future directions for research in this field. The results of this review suggest that DT has great potential to revolutionize tool monitoring in the manufacturing industry.","url":"https://doi.org/10.5281/zenodo.7938110","authors":["S Ganeshkumar","S. Ganeshkumar"],"tags":["Computer science","Data science","DT Technology","Real-Time Data","Digital Models"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023","doi":"https://doi.org/10.5281/zenodo.7938110","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"oa:W4412918630","name":"Exploring the Role of Digital Twin and Industrial Metaverse Technologies in Enhancing Occupational Health and Safety in Manufacturing","source":"openalex","abstract":"The evolution of Industry 4.0 and the emerging paradigm of Industry 5.0 have introduced disruptive technologies that are reshaping modern manufacturing environments. Among these, Digital Twin (DT) and Industrial Metaverse (IM) technologies are increasingly recognized for their potential to enhance Occupational Health and Safety (OHS). However, a comprehensive understanding of how these technologies integrate to support OHS in manufacturing remains limited. This study systematically explores the transformative role of DT and IM in creating immersive, intelligent, and human-centric safety ecosystems. Following the PRISMA guidelines, a Systematic Literature Review (SLR) of 75 peer-reviewed studies from the SCOPUS and Web of Science databases was conducted. The review identifies key enabling technologies such as Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR), Internet of Things (IoT), Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and Collaborative Robots (COBOTS), and highlights their applications in real-time monitoring, immersive safety training, and predictive hazard mitigation. A conceptual framework is proposed, illustrating a synergistic digital ecosystem that integrates predictive analytics, real-time monitoring, and immersive training to enhance the OHS. The findings highlight both the transformative benefits and the key adoption challenges of these technologies, including technical complexities, data security, privacy, ethical concerns, and organizational resistance. This study provides a foundational framework for future research and practical implementation in Industry 5.0.","url":"https://doi.org/10.3390/app15158268","authors":["Anwar Zahid","Aniello Ferraro","Antonella Petrillo","Fabio De Felice"],"tags":["Engineering ethics","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-25","doi":"https://doi.org/10.3390/app15158268","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4414270257","name":"Digital Twins in Manufacturing: A Systematic Literature Review With Retrieval-Augmented Generation","source":"openalex","abstract":"This paper presents a systematic literature review on the use of digital twins in manufacturing, with the goal of developing a comprehensive taxonomy that synthesizes existing categorizations. Given the increasing complexity and volume of literature in this domain, conventional review methods are becoming insufficient. To address this challenge, the study applies a novel approach named retrieval augmented generation. This is a technique that combines large language models with real-time information retrieval, enabling the automated identification and summarization of typologies across a broad corpus of publications. A total of 1,354 publications were initially screened, leading to 144 distinct categorizations relevant to digital twins in industrial contexts. The resulting taxonomy classifies digital twins along multiple dimensions, including life cycle stages, physical domain and hierarchy levels, model characteristics, digital thread connectivity and deployment strategies. This work provides both researchers and practitioners with a structured approach to understanding and implementing digital twins in manufacturing environments, as well as a guideline to completely describe a specific implementation. The taxonomy serves as a foundation for future research and as a practical tool for industrial applications, since it defines design decisions, which have to be made.","url":"https://doi.org/10.1109/access.2025.3611269","authors":["Arne Seipolt","Ralf Buschermöhle","Wilhelm Hasselbring"],"tags":["Automatic summarization","Computer science","Taxonomy (biology)","Systematic review","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3611269","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4312686476","name":"Digital Twin and Artificial Intelligence Incorporated with Surrogate Modeling for Hybrid and Sustainable Energy Systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-72322-4_147-1","authors":["Abid Hossain Khan","Salauddin Omar","Nadia Mushtary","Richa Verma","Dinesh Kumar","Syed Bahauddin Alam"],"tags":["Surrogate model","Computer science","Artificial intelligence","Leverage (statistics)","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-72322-4_147-1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4382877131","name":"Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jpowsour.2023.233349","authors":["Mohammad Waseem","Mumtaz Ahmad","Aasiya Parveen","Mohd Suhaib"],"tags":["Battery (electricity)","Electrification","Energy storage","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-30","doi":"https://doi.org/10.1016/j.jpowsour.2023.233349","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4286276003","name":"Ten Years of Industrie 4.0","source":"openalex","abstract":"A decade after its introduction, Industrie 4.0 has been established globally as the dominant paradigm for the digital transformation of the manufacturing industry. Amalgamating research-based results and practical experience from the German industry, this contribution reviews the progress made in implementing Industrie 4.0 and identifies future fields of action from a technological and application-oriented perspective. Putting the human in the center, Industrie 4.0 is the basis for data-based value creation, innovative business models, and agile forms of organization. Today, in the German manufacturing industry, the Internet of Things and cyber–physical production systems are a reality in newly built factories, and the connectivity of machinery has been significantly increased in existing factories. Now, the trends of industrial AI, edge computing up to the edge cloud, 5G in the factory, team robotics, autonomous intralogistics systems, and trustworthy data infrastructures must be leveraged to strengthen resilience, sovereignty, semantic interoperability, and sustainability. This enables the creation of digital innovation ecosystems that ensure long-term adaptability in a volatile economic and geopolitical environment. In sum, this review represents a comprehensive assessment of the status quo and identifies what is needed in the future to reap the rewards of the groundwork done in the first ten years of Industrie 4.0.","url":"https://doi.org/10.3390/sci4030026","authors":["Henning Kagermann","Wolfgang Wahlster"],"tags":["Industry 4.0","Digital transformation","Cyber-physical system","Interoperability","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-28","doi":"https://doi.org/10.3390/sci4030026","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4388851105","name":"Deepfake detection using deep learning methods: A systematic and comprehensive review","source":"openalex","abstract":"Abstract Deep Learning (DL) has been effectively utilized in various complicated challenges in healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung nodule recognition, computer vision, large data analytics, and human‐level control. Nevertheless, developments in digital technology have been used to produce software that poses a threat to democracy, national security, and confidentiality. Deepfake is one of those DL‐powered apps that has lately surfaced. So, deepfake systems can create fake images primarily by replacement of scenes or images, movies, and sounds that humans cannot tell apart from real ones. Various technologies have brought the capacity to change a synthetic speech, image, or video to our fingers. Furthermore, video and image frauds are now so convincing that it is hard to distinguish between false and authentic content with the naked eye. It might result in various issues and ranging from deceiving public opinion to using doctored evidence in a court. For such considerations, it is critical to have technologies that can assist us in discerning reality. This study gives a complete assessment of the literature on deepfake detection strategies using DL‐based algorithms. We categorize deepfake detection methods in this work based on their applications, which include video detection, image detection, audio detection, and hybrid multimedia detection. The objective of this paper is to give the reader a better knowledge of (1) how deepfakes are generated and identified, (2) the latest developments and breakthroughs in this realm, (3) weaknesses of existing security methods, and (4) areas requiring more investigation and consideration. The results suggest that the Conventional Neural Networks (CNN) methodology is the most often employed DL method in publications. According to research, the majority of the articles are on the subject of video deepfake detection. The majority of the articles focused on enhancing only one parameter, with the accuracy parameter receiving the most attention. This article is categorized under: Technologies > Machine Learning Algorithmic Development > Multimedia Application Areas > Science and Technology","url":"https://doi.org/10.1002/widm.1520","authors":["Arash Heidari","Nima Jafari Navimipour","Hasan Dağ","Mehmet Ünal"],"tags":["Computer science","Data science","Categorization","Confidentiality","Deep learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-20","doi":"https://doi.org/10.1002/widm.1520","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4407417369","name":"Digital twin-driven predictive maintenance methods for the critical components of rotating machinery: A review of the research","source":"openalex","abstract":"The excellent operating condition of rotating machinery (RM) is an important guarantee for people&s;s safe production and life. Predictive maintenance (PdM) is essential to improve the reliability of RM. For this purpose, engineers and researchers have been committed to the PdM of the critical components for RM over the years. The emergence of digital twins (DM) has greatly promoted the shift of maintenance methods from preventive to predictive. Taking the critical components of RM as the research object, this paper first summarizes the traditional PdM methods in detail and then a systematic review of the DM-driven PdM of critical components for RM proposed in the literature. Finally, the key technology of PdM for critical parts of RM driven by DM is highlighted. According to statistics, 80% of mechanical equipment belongs to RM, such as aviation engines, gas turbines, generators, electric motors, and catalytic smokers [ 1 ]. In recent years, with the concepts of Made in China 2025 and Industry 4.0, RM has begun to develop in the direction of precision, integration, and intelligence [ 2 ]. The complexity of the internal structure of modernized RM is increasing quickly, which leads to a decline in the reliability of RM. Gears, bearings, and other critical components of RM always work in harsh conditions of high temperature, high speed, and high load; that is why they are the most prone to failure [ 3 ]. Also, we know that 10% of RM failure is caused by gear failure [ 4 ], and 30% is caused by bearing failure [ 5 ]. Therefore, the theoretical research and practical application of PdM to critical components of RM have also received extensive attention from engineers and researchers. Traditional methods for realizing PdM of critical components of RM include physical model-based methods, statistical model-based methods, machine learning-based methods, and combined models. Although these methods have been widely used and achieved significant results, they still have some problems, such as complex mechanism models, relying on experts, requiring a large amount of historical data, and so on. The emergence of DM provides a new solution. The high-fidelity model, virtual-reality mapping technology, and other core technologies by DMs made the PdM of RM easy. This paper tries to conduct a comprehensive review of DM-driven PdM methods for the critical components of RM which may better inspire the readers of this paper.","url":"https://doi.org/10.1201/9781003470083-27","authors":["Meng Yang","Yu Su","Zihao Lei","Shuaiqing Deng","Zhifen Zhang","Guangrui Wen"],"tags":["Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-12","doi":"https://doi.org/10.1201/9781003470083-27","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4411889930","name":"Digital Twins in Security Operations: State of the Art and Future Perspectives","source":"openalex","abstract":"In an era of rapid technological advancements, digital twins are gaining attention in industry and research. These virtual representations of real-world entities, enabled by the Internet of Things (IoT), offer advanced simulation and analysis capabilities. Their application spans various sectors, from smart manufacturing to healthcare, highlighting their versatility. However, the rise of digital technologies has also escalated cybersecurity concerns. Historical cyberattacks underscore the urgency for enhanced security operations. In this context, digital twins represent a novel approach to cybersecurity. Industry and academic research are increasingly exploring their potential to protect their assets. Despite growing interest and applications, more comprehensive research synthesis needs to be done, particularly in security operations based on digital twins. Our article aims to fill this gap through a structured literature review aggregating knowledge from 201 publications. We focus on defining the digital twin in cybersecurity, exploring its applications, and outlining implementations and challenges. To maintain transparency, our data is documented and is publicly available. This survey serves as a crucial guide for academic and industry stakeholders, fostering digital twins in security operations.","url":"https://doi.org/10.1145/3746279","authors":["Philip Empl","D. Koch","Marietheres Dietz","Günther Pernul"],"tags":["Computer science","State (computer science)","Computer security","Data science","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.1145/3746279","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4402837869","name":"Architecture, application, and prospect of digital twin for highway infrastructure","source":"openalex","abstract":"The years we are experiencing are often identified as those of the age of digital technologies, where “digital” is commonly associated with intelligence, efficiency, and convenience. The emergence of digital technologies has significantly impacted and transformed various aspects of our society compared to the past. In this panorama, some arising questions regard transportation infrastructure systems and, first of all, highway infrastructure. This research focuses on one central issue: how highways fit into this digital revolution. Actually, the work in this paper can be described as follows. Although there are many different theoretical model systems for the architecture of the digital twin, we have chosen to review the main body of research on the digital twin in highway infrastructure based on a relatively well-established modeling framework, the five-dimensional model of the digital twin. After discussing the components of the digital twin for highway infrastructure's five-dimensional model, the paper reviews some innovative technologies that make these items effective. In addition to this, the digital twin maturity level of highway infrastructure and the MBSE-based (model-based systems engineering) digital twin model for highway are also discussed in this paper. Therefore, the paper provides a bird's eye view of this extremely dynamic technology for a new system of intelligent highways and discusses some of their criticalities and strengths, allowing for the optimization and development of new transportation functions and services, improving the adaptability of highways to the digital revolution. • Summarize the achievements of digital twin research in the field of transportation. • Five-dimensional model of digital twin for highway infrastructure applications. • Key technologies for digital twin applications in highway infrastructure.","url":"https://doi.org/10.1016/j.jtte.2024.03.003","authors":["Yue Wang","Huimin Wang","Weiming Wang","Shizhao Song","Xin Fu"],"tags":["Architecture","Transport engineering","Business","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-26","doi":"https://doi.org/10.1016/j.jtte.2024.03.003","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4391903458","name":"Towards a Digital Twin of Society","source":"openalex","abstract":"This paper describes the potential for developing a digital twin of society - a dynamic model that can be used to observe, analyze, and predict the evolution of various societal aspects. Such a digital twin can help governmental agencies and policy makers in interpreting trends, understanding challenges, and making decisions regarding investments or policies necessary to support societal development and ensure future prosperity. The paper reviews related work regarding the digital twin paradigm and its applications. The paper presents a motivating case study - an analysis of opportunities and challenges faced by the German federal employment agency, Bundesagentur für Arbeit (BA), proposes solutions using digital twins, and describes initial proofs of concept for such solutions.","url":"https://doi.org/10.24251/hicss.2023.816","authors":["Alina M. Chircu","Christian Czarnecki","Daniel Friedmann","Joanna Pomaskow","Eldar Sultanow"],"tags":["Agency (philosophy)","Digital transformation","Prosperity","Work (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.24251/hicss.2023.816","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4390078528","name":"Digital Twin of the laser-DED process based on a multiscale approach","source":"openalex","abstract":"The ramp-up of new geometries, process parameters, and materials can be enormously time and cost-intensive in Additive Manufacturing. Especially for Laser-Directed Energy Deposition (DED-L), the extreme physical environment at the melt pool results in the need for multiple trial-and-error tests to quantify the process behavior. These tests significantly raise manufacturing expenses. A Digital Twin (DT) of the DED-L process can therefore be of substantial value if the amount of experimental testing is hereby reduced. In the present study, a multiscale DT based on coupling a global and local model has been investigated. The global model simulates the heating of the entire part, whereas the local model represents only a specific region of this global geometry. Using a high-density mesh for the local model enables the simulation of the specific laser-powder interactions and fast-cooling rates typical in DED-L. The results of the global model are used to integrate context awareness about the changing process conditions during the print job into the local model. This process evolvement is impossible to obtain with models of smaller dimensions and is of elemental necessity for accurately simulating multi-clad depositions. The DT was validated on an industrial-grade DED-L machine with in-situ process monitoring capabilities. In all cases, the DT shows a high resemblance with the experimental data and metallographic inspections at a reasonable computational cost.","url":"https://doi.org/10.1016/j.simpat.2023.102881","authors":["Sebastian Hartmann","Oihane Murua","Jon Iñaki Arrizubieta","Aitzol Lamíkiz","Peter Mayr"],"tags":["Process (computing)","Context (archaeology)","Computer science","Mechanical engineering","Deposition (geology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-21","doi":"https://doi.org/10.1016/j.simpat.2023.102881","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4393406251","name":"Building Information Modelling (BIM) with Digital Twin for the Sustainable Management of Smart City & Building Preservation: A literature Review","source":"openalex","abstract":"This study examines the capabilities of a Digital Twin for smart city development, cultural heritage protection, and building preservation. By combining digital twin principles and technologies, the researchers have developed an interactive and interpretative model that analyses the key factors to take into account while developing the future generation of intelligent cities. In order to create a model that can be used as a standard for further study, it first conducts an evaluation and then analyses the data. The associated literature was looked into, including books, case studies, journals, newspaper articles, and peer-reviewed journal publications. The goal of this study is to assess the idea of a Digital Twin (DT) as the latest development in smart city administration for attaining sustainability. A DT-enabled smart city may achieve significantly greater value in their efficiency and sustainability. The DT-enabled smart city will develop into a comprehensive, dynamic, and robust smart city.","url":"https://doi.org/10.1109/icsh57060.2023.10482841","authors":["Muhammad Anshari","Syamimi Ariff Lim","Alena Semivolos"],"tags":["Building information modeling","Construction engineering","Computer science","Architectural engineering","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-18","doi":"https://doi.org/10.1109/icsh57060.2023.10482841","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3158403247","name":"Design Engineering in the Age of Industry 4.0","source":"openalex","abstract":"Abstract Industry 4.0 is based on the digitization of manufacturing industries and has raised the prospect for substantial improvements in productivity, quality, and customer satisfaction. This digital transformation not only affects the way products are manufactured but also creates new opportunities for the design of products, processes, services, and systems. Unlike traditional design practices based on system-centric concepts, design for these new opportunities requires a holistic view of the human (stakeholder), artefact (product), and process (realization) dimensions of the design problem. In this paper we envision a “human-cyber-physical view of the systems realization ecosystem,” termed “Design Engineering 4.0 (DE4.0),” to reconceptualize how cyber and physical technologies can be seamlessly integrated to identify and fulfil customer needs and garner the benefits of Industry 4.0. In this paper, we review the evolution of Engineering Design in response to advances in several strategic areas including smart and connected products, end-to-end digital integration, customization and personalization, data-driven design, digital twins and intelligent design automation, extended supply chains and agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service, and platformization for the sharing economy. We postulate that DE 4.0 will account for drivers such as Internet of Things, Internet of People, Internet of Services, and Internet of Commerce to deliver on the promise of Industry 4.0 effectively and efficiently. Further, we identify key issues to be addressed in DE 4.0 and engage the design research community on the challenges that the future holds.","url":"https://doi.org/10.1115/1.4051041","authors":["Jianxin Jiao","Sesh Commuri","Jitesh H. Panchal","Jelena Milisavljevic-Syed","Janet K. Allen","Farrokh Mistree","Dirk Schaefer"],"tags":["Crowdsourcing","Digitization","Industry 4.0","Product design","Agile software development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-03","doi":"https://doi.org/10.1115/1.4051041","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4411950016","name":"Risk Management and Macroeconomic Disruptions in Supply Chains: The Role of Blockchain, Digital Twins, Generative AI, and Quantum Computing","source":"openalex","abstract":"The global economy faces increasing vulnerabilities from macroeconomic disruptions, such as regulatory changes, trade tensions, geopolitical conflicts, currency volatility, pandemics, and energy crises, that undermine the resilience of operations and supply chain management (OSCM) systems. These disruptions exacerbate risks, including supply chain breakdowns, operational inefficiencies, and systemic weaknesses, with energy challenges emerging as a key concern due to their effects on production costs, inflation, and sustainability goals. Advanced technologies, such as blockchain, digital twins, generative artificial intelligence (AI), and quantum computing, offer transformative potential to enhance transparency, predictive accuracy, and decision-making agility. However, their adoption introduces inherent trade-offs, as they can lead to energy-intensive operations, cybersecurity risks, and economic burdens. To make sense of these dynamics, this paper develops a conceptual framework based on a multi-layered information system architecture that links specific disruptions to corresponding digital responses. This framework is grounded in a thorough review of both conceptual and empirical literature, along with extensive discussions among the authors. It explores how these technologies can address the risks stemming from macroeconomic disruptions while also considering their broader economic implications and challenges. It argues that simplistic solutions fail to account for the duality of these technologies' impacts and highlights the need for a systemic approach to integrate these technologies within OSCM. The paper concludes by proposing actionable research directions for OSCM scholars and managers to navigate these complexities.","url":"https://doi.org/10.1109/tem.2025.3585433","authors":["Jiho Yoon","Rami Alkhudary","Srinivas Talluri","Pierre Féniès"],"tags":["Blockchain","Supply chain","Generative grammar","Computer science","Risk management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/tem.2025.3585433","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2786860648","name":"Telehealth Interventions Delivering Home-based Support Group Videoconferencing: Systematic Review","source":"openalex","abstract":"BACKGROUND: Group therapy and education and support sessions are used within health care across a range of disciplines such as chronic disease self-management and psychotherapy interventions. However, there are barriers that constrain group attendance, such as mobility, time, and distance. Using videoconferencing may overcome known barriers and improve the accessibility of group-based interventions. OBJECTIVE: The aim of this study was to review the literature to determine the feasibility, acceptability, effectiveness, and implementation of health professional-led group videoconferencing to provide education or social support or both, into the home setting. METHODS: Electronic databases were searched using predefined search terms for primary interventions for patient education and/or social support. The quality of studies was assessed using the Mixed Methods Appraisal Tool. We developed an analysis framework using hierarchical terms feasibility, acceptability, effectiveness, and implementation, which were informed by subheadings. RESULTS: Of the 1634 records identified, 17 were included in this review. Home-based groups by videoconferencing are feasible even for those with limited digital literacy. Overall acceptability was high with access from the home highly valued and little concern of privacy issues. Some participants reported preferring face-to-face groups. Good information technology (IT) support and training is required for facilitators and participants. Communication can be adapted for the Web environment and would be enhanced by clear communication strategies and protocols. A range of improved outcomes were reported but because of the heterogeneity of studies, comparison of these across studies was not possible. There was a trend for improvement in mental health outcomes. Benefits highlighted in the qualitative data included engaging with others with similar problems; improved accessibility to groups; and development of health knowledge, insights, and skills. Videoconference groups were able to replicate group processes such as bonding and cohesiveness. Similar outcomes were reported for those comparing face-to-face groups and videoconference groups. CONCLUSIONS: Groups delivered by videoconference are feasible and potentially can improve the accessibility of group interventions. This may be particularly useful for those who live in rural areas, have limited mobility, are socially isolated, or fear meeting new people. Outcomes are similar to in-person groups, but future research on facilitation process in videoconferencing-mediated groups and large-scale studies are required to develop the evidence base.","url":"https://doi.org/10.2196/jmir.8090","authors":["Annie Banbury","Susan Nancarrow","Jared Dart","Len Gray","Lynne Parkinson"],"tags":["Psychological intervention","Telehealth","Attendance","Videoconferencing","Medical education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-02-02","doi":"https://doi.org/10.2196/jmir.8090","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4366205470","name":"Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization","source":"openalex","abstract":"Mining digitalisation have been receiving significant attention due to the utilisation of advanced technologies, such as IoT, automation, and sensing. However, maximising the potential value of collected data in the mining industry remains a challenge. Therefore, this paper aims to review timely concern topics to facilitate the fusion implementation in mining engineering. Specifically, this review covers recent popular topics, such as, data visualisation, data management, data analytics, data fusion, visual analytics, and mining digital twin construction. In this paper, we aim to draw a comprehensive picture about the fusion of data visualisation and analytics in the big data context, by examining the recent academic research related to these topics. Therefore, this paper reviews the visualisation domain by conventional classification, including scientific visualisation, information visualisation, and visual analytics, associated with the analysis of current digital twin development. Next, according to the challenges and issues related to visualisation development, this paper reviews the data management and data analytics domains as well. Incorporating with the fusion concept, machine learning-oriented fusion applications and potential scenarios in the mining industry have been discussed. In addition, based on the observation across various domains, this paper presents challenges and future potentials of data fusion in mining.","url":"https://doi.org/10.1109/access.2023.3267813","authors":["Ruiyu Liang","Chaoran Huang","Chengguo Zhang","Binghao Li","Serkan Saydam","Ismet Canbulat"],"tags":["Visualization","Computer science","Data science","Visual analytics","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3267813","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3114839502","name":"WITHDRAWN: Digital twin technology on IoT, industries & other smart environments: A survey","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.matpr.2020.11.358","authors":["S. Mathupriya","Sultana Banu","S. Sridhar","B. Arthi"],"tags":["Crystal twinning","Field (mathematics)","Internet of Things","Computer science","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-01","doi":"https://doi.org/10.1016/j.matpr.2020.11.358","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4321615845","name":"Digital “x”—Charting a Path for Digital-Themed Research","source":"openalex","abstract":"We live in a time when digital technologies reshape most aspects of business and social life. This challenges received assumptions about modes of operation in organizations. As a result, scholars and practitioners increasingly use the label “digital” to signify that something has changed to the extent that a plethora of long-established management concepts are expressed in a new formulaic form of “digital x,” and x can stand for innovation, strategy, transformation, infrastructure, etc. In the information systems discipline and beyond, “digital” has emerged as an oft-used conceptual label to characterize age-long phenomena hitherto described by the IT (or x) label. There is a sense among academic and practitioner communities that digital and IT are not mere synonyms, but beyond the hype, something fundamentally different is being signaled when the “digital” label is invoked. This paper traces the intellectual roots and foundations of the growing use of “digital” as a conceptual label, identifies when the label use is warranted as well as outlines implications that the moniker holds for future scholarship, policy, and practice. In particular, the paper offers actionable guidance that enables more reflective use of the term “digital” as we move forward.","url":"https://doi.org/10.1287/isre.2022.1186","authors":["Abayomi Baiyere","Varun Grover","Kalle Lyytinen","Stephanie L. Woerner","Alok Gupta"],"tags":["Computer science","Path (computing)","World Wide Web","Data science","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-23","doi":"https://doi.org/10.1287/isre.2022.1186","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4414989478","name":"The Composition of Digital Twins for Systems-of-Systems: a Systematic Literature Review","source":"openalex","abstract":"Digital Twins (DTs) are increasingly used to model complex systems, especially in Cyber-Physical Systems (CPS) and System-of-Systems (SoS), where effective integration is key. This systematic literature review investigates DT composition and verification and validation (V&V) methodologies. Analyzing 21 studies from 2022-2024, we examined composition mechanisms, SoS characteristics, and V&V formality, scope, and challenges. While composition is discussed, formalization is limited. V&V approaches vary, with semi-formal methods and simulations dominating; formal verification is underutilized. Key technical challenges include model uncertainty and integration complexity. Methodological challenges highlight the lack of standardized DT-specific V&V frameworks. There is a need to move beyond model validation to address integration and cyber-physical consistency. This review contributes a structured classification of V&V approaches and emphasizes the need for standardized, scalable V&V and rigorous composition methodologies for complex DT implementations.","url":"https://doi.org/10.48550/arxiv.2506.20435","authors":["Mennatullah T. Khedr","John Fitzgerald"],"tags":["Composition (language)","Systematic review","Computer science","Data science","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.48550/arxiv.2506.20435","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3046104088","name":"A longitudinal twin study of victimization and loneliness from childhood to young adulthood","source":"openalex","abstract":"The present study used a longitudinal and discordant twin design to explore in depth the developmental associations between victimization and loneliness from mid-childhood to young adulthood. The data were drawn from the Environmental Risk (E-Risk) Longitudinal Twin Study, a birth cohort of 2,232 individuals born in England and Wales during 1994-1995. Diverse forms of victimization were considered, differing across context, perpetrator, and timing of exposure. The results indicated that exposure to different forms of victimization was associated with loneliness in a dose-response manner. In childhood, bullying victimization was uniquely associated with loneliness, over and above concurrent psychopathology, social isolation, and genetic risk. Moreover, childhood bullying victimization continued to predict loneliness in young adulthood, even in the absence of ongoing victimization. Within-twin pair analyses further indicated that this longitudinal association was explained by genetic confounds. In adolescence, varied forms of victimization were correlated with young adult loneliness, with maltreatment, neglect, and cybervictimization remaining robust to controls for genetic confounds. These findings indicate that vulnerability to loneliness in victimized young people varies according to the specific form of victimization in question, and also to the developmental period in which it was experienced.","url":"https://doi.org/10.1017/s0954579420001005","authors":["Timothy Matthews","Avshalom Caspi","Andrea Danese","Helen L. Fisher","Terrie E. Moffitt","Louise Arseneault"],"tags":["Loneliness","Psychology","Developmental psychology","Longitudinal study","Neglect"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-13","doi":"https://doi.org/10.1017/s0954579420001005","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4292470428","name":"Future era of techno-economic analysis: Insights from review","source":"openalex","abstract":"Techno-economic analysis (TEA) has been considered an important tool to evaluate the economic performance of industrial processes. Recently, the application of TEA has been observed to have exponential growth due to the increasing competition among businesses across various industries. Thus, this review presents a deliberate overview of TEA to inculcate the importance and relevance of TEA. To further support the aforementioned points, this review article starts with a bibliometric analysis to evaluate the applicability of TEA within the research community. Conventional TEA is widely known to be conducted via software modeling (i.e., Python, AMIS, MATLAB, Aspen HYSYS, Aspen Plus, HOMER Pro, FORTRAN, R, SysML and Microsoft Excel) without involving any correlation or optimization between the process and economic performance. Apart from that, due to the arrival of the industrial revolution (IR) 4.0, industrial processes are being revolutionized into smart industries. Thus, to retain the integrity of TEA, a similar evolution to smart industries is deemed necessary. Studies have begun to incorporate data-driven technologies (i.e., artificial intelligence (AI) and blockchain) into TEA to effectively optimize both processes and economic parameters simultaneously. With this, this review explores the integration of data-driven technologies in the TEA framework. From literature reviews, it was found that genetic algorithm (GA) is the most applied data-driven technology in TEA, while the applications of blockchain, machine learning (ML), and artificial neural network (ANN) in TEA are still considerably scarce. Not to mention other advanced technologies, such as cyber-physical systems (CPS), IoT, cloud computing, big data analytics, digital twin (DT), and metaverse are yet to be incorporated into the existing TEA. The inclusion of set-up costs for the aforementioned technologies is also crucial for accurate TEA representation of smart industries deployment. Overall, this review serves as a reference note for future process engineers and industry stakeholders who wish to perform relevant TEA, which is capable to cover the new state-of-art elements under the new modern era.","url":"https://doi.org/10.3389/frsus.2022.924047","authors":["Slyvester Yew Wang Chai","Frederick Jit Fook Phang","Lip Siang Yeo","Lock Hei Ngu","Bing Shen How"],"tags":["Computer science","Python (programming language)","Big data","Emerging technologies","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-10","doi":"https://doi.org/10.3389/frsus.2022.924047","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7131355483","name":"Digital Twins in Neonatology: Current Applications and Future Directions: A Narrative Review","source":"openalex","abstract":"Digital Twins (DTs) are virtual, patient-specific representations that integrate real-time data to model, predict, and optimize biological and clinical processes. In neonatology, DTs are gaining attention as powerful tools for managing the profound physiological complexity and variability of newborns, particularly preterm infants requiring intensive care. Emerging applications include cardiopulmonary modeling, prediction of sepsis and necrotizing enterocolitis (NEC), optimization of mechanical ventilation, individualized nutrition, and longitudinal monitoring of neuromotor development. This review synthesizes current research on neonatal digital twins, highlighting clinical use cases and ethical considerations. We discuss persistent challenges, including limited data availability, rapid developmental change, model validation, and regulatory oversight. Finally, we outline a roadmap for integrating DTs into neonatal intensive care units (NICUs) and identify future research priorities, including multi-organ integration, predictive closed-loop systems, and personalized life-course care trajectories.","url":"https://doi.org/10.3390/app16052198","authors":["Dimitra Savvidou","Niki Dermitzaki","Maria Baltogianni","Aikaterini Nikolaou","Vasileios Giapros"],"tags":["Narrative review","Necrotizing enterocolitis","Intensive care","Medicine","Intensive care medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-25","doi":"https://doi.org/10.3390/app16052198","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400179210","name":"Digital Transformation and Flexible Performance Management: A Systematic Literature Review of the Evolution of Performance Measurement Systems","source":"openalex","abstract":"Abstract In the era of digital transformation, businesses must innovate and adapt to sustain a competitive edge. This dynamic environment compels a reevaluation of traditional management practices, highlighting the need for highly flexible systems. Flexibility, defined as the ability to adapt organizational resources, processes, and strategies in response to environmental changes such as rapid technological advancements, is crucial. Our systematic review of 47 studies investigates how digital transformation influences performance measurement systems across various industries and global contexts. We found that digital transformation fosters the dynamism and adaptability of these systems. This study integrates strategic, organizational, and information systems flexibility concepts that are essential for effective adaptation and resilience. Our findings underscore the shifts towards decision-making agility, inclusivity, and sustainability, stressing the significant role of human resources in adapting to digital imperatives. We advocate for a comprehensive approach that fosters digital literacy, upholds ethical standards, promotes continuous skill development, and enhances strategic adaptability. Practical implications suggest integrating digital technologies into performance strategies, utilizing real-time metrics for agile decision-making and emphasizing ethical and sustainable practices to improve transparency and stakeholder trust. These strategies are crucial for optimizing performance in the digital age.","url":"https://doi.org/10.1007/s40171-024-00409-9","authors":["Marcello Cosa","Riccardo Torelli"],"tags":["Dynamism","Adaptability","Agile software development","Digital transformation","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-01","doi":"https://doi.org/10.1007/s40171-024-00409-9","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4367184400","name":"A Vision-Based Human Digital Twin Modeling Approach for Adaptive Human–Robot Collaboration","source":"openalex","abstract":"Abstract Human–robot collaboration (HRC) has been identified as a highly promising paradigm for human-centric smart manufacturing in the context of Industry 5.0. In order to enhance both human well-being and robotic flexibility within HRC, numerous research efforts have been dedicated to the exploration of human body perception, but many of these studies have focused only on specific facets of human recognition, lacking a holistic perspective of the human operator. A novel approach to addressing this challenge is the construction of a human digital twin (HDT), which serves as a centralized digital representation of various human data for seamless integration into the cyber-physical production system. By leveraging HDT, performance and efficiency optimization can be further achieved in an HRC system. However, the implementation of visual perception-based HDT remains underreported, particularly within the HRC realm. To this end, this study proposes an exemplary vision-based HDT model for highly dynamic HRC applications. The model mainly consists of a convolutional neural network that can simultaneously model the hierarchical human status including 3D human posture, action intention, and ergonomic risk. Then, on the basis of the constructed HDT, a robotic motion planning strategy is further introduced with the aim of adaptively optimizing the robotic motion trajectory. Further experiments and case studies are conducted in an HRC scenario to demonstrate the effectiveness of our approach.","url":"https://doi.org/10.1115/1.4062430","authors":["Junming Fan","Pai Zheng","C.K.M. Lee"],"tags":["Computer science","Artificial intelligence","Context (archaeology)","Flexibility (engineering)","Human–robot interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-27","doi":"https://doi.org/10.1115/1.4062430","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3161385742","name":"A graph based Monte Carlo simulation supporting a digital twin for the curatorial management of excavation and demolition material flows","source":"openalex","abstract":"The construction industry implies significant resource demands in two contexts: The supply of primary materials, as well as the conditioning and/or disposing of the materials resulting from excavation and demolition processes. Primary materials are limited and resource intensive in procurement, as well as in distribution. Landfill on the other hand requires brownfield sites and implies the risk of inert contamination of the soil. Manufacturing, re-use and recycling of these materials are thus an important step towards a circular economy and government agencies are interested in steering these material flows. From an economic point of view, these systems can be very volatile: Prices, availabilities and process capacities are fluctuating, while the locations of the construction sites change on a monthly basis. This paper presents a new approach using a digital twin of such a system to identify effective steering inputs and assist government agencies to understand the system and predict the influence of any potential measures. Based on a reduced graph representing the transportation network of the region, statistical information about the price structure of materials and services in the region as well as the decisions of different players within the systems are modelled. Using the Monte Carlo method, different material flows are quantified based on a set of statistical location parameters. The application of this model in the identification of steering inputs, as well as in the evaluation of potential scenarios is successfully demonstrated on two practical examples.","url":"https://doi.org/10.1016/j.jclepro.2021.127453","authors":["Simon Züst","Rainer Züst","Viturin Züst","Shaun West","Oliver Stoll","Clemente Minonne"],"tags":["Demolition","Monte Carlo method","Computer science","Excavation","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-19","doi":"https://doi.org/10.1016/j.jclepro.2021.127453","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2015306533","name":"Effect of selective fetoscopic laser photocoagulation therapy for twin–twin transfusion syndrome on pulmonary valve pathology in recipient twins","source":"openalex","abstract":"OBJECTIVE: To investigate the impact of selective fetoscopic laser photocoagulation (SFLP) on pre-existing pulmonary valve pathology in the recipient twin in twin-twin transfusion syndrome (TTTS). METHODS: We evaluated preoperative echocardiograms of all pregnancies with TTTS treated with SFLP at our institution from 2001 to 2009 (n = 76). Sixteen (21%) recipients had an abnormal pulmonary valve (stenosis/dysplasia, insufficiency or functional atresia) before SFLP. Postoperative echocardiograms and medical records from these 16 recipients were reviewed. Changes in pulmonary valve structure and function, and overall cardiac function, were noted after SFLP. RESULTS: The mean gestational age at SFLP was 21 (range, 18.7-24.3) weeks. Seven of sixteen (44%) recipients with abnormal pulmonary valve prior to SFLP survived. Six of the 16 (37.5%) recipient twins had documented absence of persistent pulmonary valve abnormalities at birth or at autopsy. Two (12.5%) of the 16 recipients (2.6% of the original cohort) had persistent pulmonary valve abnormalities at birth, requiring intervention. Systolic and diastolic function improved or normalized after SFLP in all patients undergoing longitudinal follow-up. There was a tendency for a better cardiovascular profile score (best = 10 points) at initial evaluation in pregnancies with survivors compared with those with no survivors (mean (SD): 5.6 (2.2) vs. 6.75 (1.28)), but this was not statistically significant. Severity of cardiac involvement did not predict persistence of valve pathology or survival. CONCLUSIONS: SFLP can improve flow through the pulmonary valve of the recipient twin in TTTS, probably as a consequence of improvements in right ventricular systolic and diastolic function. However, pulmonary valve pathology may persist and require postnatal intervention.","url":"https://doi.org/10.1002/uog.7748","authors":["Anita J. Moon‐Grady","Larry Rand","Breniel Lemley","Kristen Gosnell","Lisa K. Hornberger","Hsinyu Lee"],"tags":["Medicine","Pulmonary valve","Cardiology","Gestational age","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-07-14","doi":"https://doi.org/10.1002/uog.7748","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4396731195","name":"Urban Echoes: Exploring the Dynamic Realities of Cities through Digital Twins","source":"openalex","abstract":"Digital twins (DTs) are highly valuable tools for urban planning as they provide a virtual replica of the physical city, integrating real-time data and simulations to enhance the decision-making and management processes. The use of DTs expands the possibilities for data integration and visualization in urban contexts. This includes real-time data measurements from multiple sources, such as sensors and IoT devices, facilitating comprehensive insights. DT’s virtual representation helps authorities and planners visualize urban dynamics and improve their understanding of urban ecosystems, energy efficiency, traffic management, emergency response, and more. DT supports the simulation and modeling of different scenarios in an urban built environment, enabling the predictive analysis of transformation decisions and the anticipation of future trends and challenges. This paper highlights the assumptions and ongoing progress in the development of a DT for the city of Turin (Italy), focusing on a range of applications, such as the extraction of built and natural environment features, land use data, road network and pavement quality, and signage, along with continuous model updates over time.","url":"https://doi.org/10.3390/land13050635","authors":["Piero Boccardo","Luigi La Riccia","Yogender Yadav"],"tags":["Computer science","Urban planning","Anticipation (artificial intelligence)","Visualization","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-08","doi":"https://doi.org/10.3390/land13050635","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2883320370","name":"Sending-or-not-sending twin-field quantum key distribution in practice","source":"openalex","abstract":"Recently, the twin field quantum key distribution (TF-QKD) protocols have been investigated extensively. In particular, an efficient protocol for TF-QKD with sending or not sending the coherent state has been given in. Here in this paper, we present results of practical sending-or-not-sending (SNS) twin field quantum key distribution. In real-life implementations, we need consider the following three requirements, a few different intensities rather than infinite number of different intensities, a phase slice of appropriate size rather than infinitely small size and the statistical fluctuations. We first show the decoy-state method with only a few different intensities and a phase slice of appropriate size. We then give a statistical fluctuation analysis for the decoy-state method. Numerical simulation shows that, the performance of our method is comparable to the asymptotic case for which the key size is large enough. Our method can beat the PLOB bound on secret key capacity. Our results show that practical implementations of the SNS quantum key distribution can be both secure and efficient.","url":"https://doi.org/10.1038/s41598-019-39225-y","authors":["Zong‐Wen Yu","Xiao‐Long Hu","Cong Jiang","Xu Hai","Xiang‐Bin Wang"],"tags":["Quantum key distribution","Computer science","Key (lock)","Quantum","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-02-28","doi":"https://doi.org/10.1038/s41598-019-39225-y","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4205329887","name":"Semantic Digital Twins for Retail Logistics","source":"openalex","abstract":"Abstract As digitization advances, stationary retail is increasingly enabled to develop novel retail services aiming at enhancing efficiency of business processes ranging from in-store logistics to customer shopping experiences. In contrast to online stores, stationary retail digitization demands for an integration of various data like location information, product information, or semantic information in order to offer services such as customer shopping assistance, product placement recommendations, or robotic store assistance. We introduce the semantic Digital Twin (semDT) as a semantically enhanced virtual representation of a retail store environment, connecting a symbolic knowledge base with a scene graph. The ontology-based symbolic knowledge base incorporates various interchangeable knowledge sources, allowing for complex reasoning tasks that enhance daily processes in retail business. The scene graph provides a realistic 3D model of the store, which is enhanced with semantic information about the store, its shelf layout, and contained products. Thereby, the semDT knowledge base can be reasoned about and visualized and simulated in applications from web to robot systems. The semDT is demonstrated in three use cases showcasing disparate platforms interacting with the semDT: Optimization of product replenishment; customer support using AR applications; retail store visualization, and simulation in a virtual environment.","url":"https://doi.org/10.1007/978-3-030-88662-2_7","authors":["Michaela Kümpel","Christian A. Mueller","Michael Beetz"],"tags":["Computer science","Digitization","Ontology","Product (mathematics)","Graph"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-3-030-88662-2_7","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4391522468","name":"Intelligent robotic systems in Industry 4.0: A review","source":"openalex","abstract":"As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.","url":"https://doi.org/10.51393/j.jamst.2024007","authors":["Mohsen Soori","Roza Dastres","Behrooz Arezoo","Fooad Karımı Ghaleh Jough"],"tags":["Industry 4.0","Intelligent decision support system","Flexibility (engineering)","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.51393/j.jamst.2024007","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4399356957","name":"Digital twinning of cardiac electrophysiology for congenital heart disease","source":"openalex","abstract":"In recent years, blending mechanistic knowledge with machine learning has had a major impact in digital healthcare. In this work, we introduce a computational pipeline to build certified digital replicas of cardiac electrophysiology in paediatric patients with congenital heart disease. We construct the patient-specific geometry by means of semi-automatic segmentation and meshing tools. We generate a dataset of electrophysiology simulations covering cell-to-organ level model parameters and using rigorous mathematical models based on differential equations. We previously proposed Branched Latent Neural Maps (BLNMs) as an accurate and efficient means to recapitulate complex physical processes in a neural network. Here, we employ BLNMs to encode the parametrized temporal dynamics of in silico 12-lead electrocardiograms (ECGs). BLNMs act as a geometry-specific surrogate model of cardiac function for fast and robust parameter estimation to match clinical ECGs in paediatric patients. Identifiability and trustworthiness of calibrated model parameters are assessed by sensitivity analysis and uncertainty quantification.","url":"https://doi.org/10.1098/rsif.2023.0729","authors":["Matteo Salvador","Fanwei Kong","Mathias Peirlinck","David Parker","Henry Chubb","Anne M. Dubin","Alison L. Marsden"],"tags":["Cardiac electrophysiology","Computer science","Identifiability","Artificial intelligence","Sensitivity (control systems)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-01","doi":"https://doi.org/10.1098/rsif.2023.0729","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4225730517","name":"Digital battery passports to enable circular and sustainable value chains: Conceptualization and use cases","source":"openalex","abstract":"With respect to sustainable product management, the transition to circular battery value chains requires that stakeholders have access to high-quality data for decision-making purposes. In such a context, digital battery passports (DBPs) can act as a valuable data source and thus enable greater sustainability and circularity. The present paper presents a DBP concept for an electric vehicle battery (EVB), and delineates, for the first time, the respective information requirements needed. Development of the DBP concept outlined here entailed stakeholder mapping, a systematic literature review, and a bottom-up approach. The concept comprises 54 data points, subsumed under four main information categories: (1) battery, (2) sustainability and circularity, (3) diagnostics, maintenance, and performance, and (4) value chain actors. The concept further details the information needed to enable sustainable and circular value chains. In addition, four potential DBP use cases of distinct EVB value chain stakeholders are presented in order to illustrate how the concept may be used to support sustainable product management. The contribution of the paper is threefold: firstly, it stimulates scientific debate concerning the potential of DBPs for sustainable product management. Secondly, the concepts described in this paper can be viewed as a guide for the development of other digital product passports and may thus serve to improve sustainable circular product management in general. Thirdly, it aids policymakers and practitioners when implementing DBPs.","url":"https://doi.org/10.1016/j.jclepro.2022.131492","authors":["Katharina Berger","Josef‐Peter Schöggl","Rupert J. Baumgartner"],"tags":["Circular economy","Conceptualization","Sustainable Value","Sustainability","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-04","doi":"https://doi.org/10.1016/j.jclepro.2022.131492","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3109541743","name":"Analysis of microbial compositions: a review of normalization and differential abundance analysis","source":"openalex","abstract":"Increasingly, researchers are discovering associations between microbiome and a wide range of human diseases such as obesity, inflammatory bowel diseases, HIV, and so on. The first step towards microbiome wide association studies is the characterization of the composition of human microbiome under different conditions. Determination of differentially abundant microbes between two or more environments, known as differential abundance (DA) analysis, is a challenging and an important problem that has received considerable interest during the past decade. It is well documented in the literature that the observed microbiome data (OTU/SV table) are relative abundances with an excess of zeros. Since relative abundances sum to a constant, these data are necessarily compositional. In this article we review some recent methods for DA analysis and describe their strengths and weaknesses.","url":"https://doi.org/10.1038/s41522-020-00160-w","authors":["Lin Huang","Shyamal Peddada"],"tags":["Microbiome","Relative species abundance","Normalization (sociology)","Abundance (ecology)","Compositional data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-02","doi":"https://doi.org/10.1038/s41522-020-00160-w","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7125894073","name":"Digital Twins in Neonatology: Current Applications and Future Directions. A Narrative Review","source":"openalex","abstract":"Digital Twins (DTs) are virtual, patient-specific representations that integrate re-al-time data to model, predict, and optimize biological and clinical processes. In neo-natology, DTs are gaining attention as powerful tools for managing the profound physiological complexity and variability of newborns, particularly preterm infants re-quiring intensive care. Emerging applications include cardiopulmonary modeling, prediction of sepsis and necrotizing enterocolitis (NEC), optimization of mechanical ventilation, individualized nutrition, and longitudinal monitoring of neuromotor de-velopment. This review synthesizes current research on neonatal digital twins, high-lighting clinical use cases and ethical considerations. We discuss persistent challenges, including limited data availability, rapid developmental change, model validation, and regulatory oversight. Finally, we outline a roadmap for integrating DTs into neo-natal intensive care units (NICUs) and identify future research priorities, including multi-organ integration, predictive closed-loop systems, and personalized life-course care trajectories.","url":"https://doi.org/10.20944/preprints202601.2008.v1","authors":["Dimitra Savvidou","Niki Dermitzaki","Maria Baltogianni","Aikaterini Nikolaou","Vasileios Giapros"],"tags":["Narrative review","Necrotizing enterocolitis","Intensive care","Medicine","Intensive care medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-27","doi":"https://doi.org/10.20944/preprints202601.2008.v1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3215251938","name":"A Framework for Digital Twins for Production Network Management","source":"openalex","abstract":"The dynamic and highly complex task of production network management requires decision support through quantitative models. In the industrial praxis, these models are specifically designed and implemented for particular management decisions, requiring significant one-time effort for model creation. This contribution utilizes the digital twin concept to facilitate production network models that are continuously synchronized with the examined production network to support several different management decisions. The approach structures data from existing information systems as a synchronized generic base model, which is used to create problem-specific executable models, thereby saving costs through repeated model use and quicker decision making.","url":"https://doi.org/10.1016/j.procir.2021.11.213","authors":["Martin Benfer","Sina Peukert","Gisela Lanza"],"tags":["Executable","Computer science","Production (economics)","Production manager","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.213","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4386701238","name":"Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (AI)-enabled malware and intrusion detection","source":"openalex","abstract":"The last decades have been characterized by unprecedented technological advances, many of them powered by modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The world has become more digitally connected than ever, but we face major challenges. One of the most significant is cybercrime, which has emerged as a global threat to governments, businesses, and civil societies. The pervasiveness of digital technologies combined with a constantly shifting technological foundation has created a complex and powerful playground for cybercriminals, which triggered a surge in demand for intelligent threat detection systems based on machine and deep learning. This paper investigates AI-based cyber threat detection to protect our modern digital ecosystems. The primary focus is on evaluating ML-based classifiers and ensembles for anomaly-based malware detection and network intrusion detection and how to integrate those models in the context of network security, mobile security, and IoT security. The discussion highlights the challenges when deploying and integrating AI-enabled cybersecurity solutions into existing enterprise systems and IT infrastructures, including options to overcome those challenges. Finally, the paper provides future research directions to further increase the security and resilience of our modern digital industries, infrastructures, and ecosystems.","url":"https://doi.org/10.1016/j.jii.2023.100520","authors":["Marc Schmitt"],"tags":["Computer security","Intrusion detection system","Malware","Cybercrime","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-13","doi":"https://doi.org/10.1016/j.jii.2023.100520","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4320517799","name":"Metaverse: Survey, Applications, Security, and Opportunities","source":"openalex","abstract":"As a fusion of various emerging digital technologies, the Metaverse aims to build a virtual shared digital space. It is closely related to extended reality, digital twin, blockchain, and other technologies. Its goal is to build a digital space based on the real world, form a virtual economic system, and expand the space of human activities, which injects new vitality into the social, economic, and other fields. In this article, we make the following contributions. We first introduce the basic concepts such as the development process, definition, and characteristics of the Metaverse. After that, we analyze the overall framework and supporting technologies of the Metaverse and summarize the status of common fields. Finally, we focus on the security and privacy issues that exist in the Metaverse, and give corresponding solutions or directions. We also discuss the challenges and possible research directions of the Metaverse. We believe this comprehensive review can provide an overview of the Metaverse and research directions for some multidisciplinary studies.","url":"https://doi.org/10.48550/arxiv.2210.07990","authors":["Jiayi Sun","Wensheng Gan","Han‐Chieh Chao","Philip S. Yu","Sun, Jiayi","Gan, Wensheng","Chao, Han-Chieh","Yu, Philip S."],"tags":["Metaverse","Computer science","Space (punctuation)","Data science","Possible world","Databases (cs.DB)","Cryptography and Security (cs.CR)","FOS: Computer and information sciences"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022","doi":"https://doi.org/10.48550/arxiv.2210.07990","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"oa:W4390905510","name":"Metaverse for Intelligent Transportation Systems (ITS): A Comprehensive Review of Technologies, Applications, Implications, Challenges and Future Directions","source":"openalex","abstract":"Intelligent transportation systems (ITS) have made significant advancements in enhancing transportation safety, reliability, and efficiency. However, challenges persist in security, privacy, data management, and integration. Metaverse, an emerging technology enabling immersive and simulated experiences, presents promising solutions to overcome these challenges. By establishing secure communication channels, facilitating virtual simulations for safe testing and training, and enabling centralized data management with real-time analytics, metaverse offers a transformative approach to address these challenges. While metaverse has found extensive applications across industries, its potential in transportation remains largely untapped. This comprehensive review delves into the integration of the metaverse in ITS, exploring key technologies like virtual reality, digital twin, blockchain, and artificial intelligence, and their specific applications in the context of ITS. Real-world case studies, research projects, and initiatives are compiled to showcase the metaverse’s potential for ITS. It also examines the societal, economic, and technological implications of metaverse integration in ITS and highlights the associated integration challenges. Lastly, future research directions are identified to unlock the metaverse’s full potential in enhancing transportation systems.","url":"https://doi.org/10.1109/tits.2023.3347280","authors":["Doreen Sebastian Sarwatt","Yujia Lin","Jianguo Ding","Yunchuan Sun","Huansheng Ning"],"tags":["Metaverse","Computer science","Context (archaeology)","Transformative learning","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-16","doi":"https://doi.org/10.1109/tits.2023.3347280","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4206825357","name":"Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept","source":"openalex","abstract":"The digital twin is a trending technology that has been applied to different fields. In this work, the use of the digital twin of electric machines in a life cycle perspective is investigated. It presents a literature review of the main concepts and applications of the digital twin in the field. In addition, it discusses the methodological approach to obtain the digital twin of a static electric machine by using its multiphysics model in a reduced order model, to improve the maintenance scheme and estimate the lifetime of its insulation system based on the machine's temperature profile.","url":"https://doi.org/10.1109/idaacs53288.2021.9660964","authors":["Gabriel Mendes","Ângela P. Ferreira"],"tags":["Multiphysics","Computer science","Field (mathematics)","Electric field","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-22","doi":"https://doi.org/10.1109/idaacs53288.2021.9660964","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4392034144","name":"From Industry 4.0 Digital Manufacturing to Industry 5.0 Digital Society: a Roadmap Toward Human-Centric, Sustainable, and Resilient Production","source":"openalex","abstract":"Abstract The present study addresses two critical controversies surrounding the emerging Industry 5.0 agenda. Firstly, it seeks to elucidate the driving forces behind the accelerated momentum of the Industry 5.0 agenda amidst the ongoing digital industrial transformation. Secondly, it explores how the agenda’s sustainability values can be effectively realised. The study conducted a comprehensive content-centric literature synthesis and identified how Industry 4.0 shortcomings adversely impacted sustainability values. Furthermore, the study implements a novel approach that determines how and in what order the sustainability functions of Industry 4.0 should be leveraged to promote the sustainability objectives of Industry 5.0. Results reveal that Industry 4.0 has benefited economic and environmental sustainability values most at the organisational and supply chain levels. Nonetheless, most micro and meso-social sustainability values have been adversely impacted by Industry 4.0. Similarly, Industry 4.0 has been worryingly detrimental to macro sustainability values like social or economic growth equality. These contradictory implications of Industry 4.0 have pulled the Industry 5.0 agenda. However, the results identified nine sustainability functions of Industry 4.0 that, when leveraged appropriately and in the correct order, can offer important implications for realising the economic and socio-environmental goals of Industry 5.0. For example, under extreme unpredictability of business world uncertainties, the business should first leverage the automation and integration capabilities of Industry 4.0 to gain the necessary cost-saving, resource efficiency, risk management capability, and business antifragility that allow them to introduce sustainable innovation into their business model without jeopardising their survival. Various scenarios for empowering Industry 5.0 sustainability values identified in the present study offer important implications for knowledge and practice.","url":"https://doi.org/10.1007/s10796-024-10476-z","authors":["Morteza Ghobakhloo","Hannan Amoozad Mahdiraji","Mohammad Iranmanesh","Vahid Jafari‐Sadeghi"],"tags":["Sustainability","Industry 4.0","Business","Resource efficiency","Leverage (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-22","doi":"https://doi.org/10.1007/s10796-024-10476-z","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7164358302","name":"Digital twins in wastewater treatment: A review of multiscale applications for process optimization, resource recovery, and policy compliance","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jwpe.2026.110352","authors":["Neda S. R. Nikou","Laurence Gill","Mohammad Reza Ghaani"],"tags":["Process (computing)","Resource (disambiguation)","Compliance (psychology)","Wastewater","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-11","doi":"https://doi.org/10.1016/j.jwpe.2026.110352","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3130791150","name":"Opportunities and Challenges of Digital Twin Applications in Modular Integrated Construction","source":"openalex","abstract":"Opportunities and Challenges of Digital Twin Applications in Modular Integrated Construction Mingcheng Xie and Wei Pan Pages 278-284 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844) Abstract: Digital twin (DT) is commonly known as a virtual model of a physical object, a process or a system. In order to create DT, the emphasis is on building a Cyber-Physical System (CPS), where information collected from physical processes is used for computation to generate a real-time monitoring cyber model. At the same time, changes of the cyber model will either be used for prediction or reflection in the physical system to achieve the control function. With the development of digital and information communication technologies, DT has been applied in various areas such as manufacturing and aerospace industries. However, studies on the application of DT in the building construction sector were limited. Such studies were particularly rare about volumetric modular building which has attracted a burgeoning interest in both academia and practice globally. This paper aims to contribute a better understanding of integrating the use of DT for Modular Integrated Construction (MiC) by examining the opportunities and challenges. The paper first reviews the state-of-the-art DT applications across various industries, and then focuses on publications about DT applications in the building construction sector through conducting a systematic search of literature using Scopus. After review and analysis of the identified publications, the paper explores the opportunities and challenges of applying DT in MiC. The review results show that DT is often considered with other digital technologies for integration. A conceptual framework is developed for applying DT in module installation in MiC within the context of Hong Kong as a typical case of high-density cities. Promising opportunities with huge benefits are speculated from the application of DT in MiC, including enhanced coordination of logistics and construction management by using DT to monitor on-site progress during the module installation stage. Nevertheless, challenges are also identified, which exist in not only the sensing technology and cyber system, but also the social-political environment supporting innovation and regulation. The developed framework should provide a useful guide to address the challenges and shape future research on DT in MiC. Keywords: Digital Twin (DT); Cyber-Physical System (CPS); Modular Integrated Construction (MiC); Smart Construction DOI: https://doi.org/10.22260/ISARC2020/0040 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley","url":"https://doi.org/10.22260/isarc2020/0040","authors":["Mingcheng Xie","Wei Pan"],"tags":["Modular design","Cyber-physical system","Scopus","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-14","doi":"https://doi.org/10.22260/isarc2020/0040","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3108288031","name":"Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review","source":"openalex","abstract":"With the growing integration of distributed energy resources (DERs), flexible loads, and other emerging technologies, there are increasing complexities and uncertainties for modern power and energy systems. This brings great challenges to the operation and control. Besides, with the deployment of advanced sensor and smart meters, a large number of data are generated, which brings opportunities for novel data-driven methods to deal with complicated operation and control issues. Among them, reinforcement learning (RL) is one of the most widely promoted methods for control and optimization problems. This paper provides a comprehensive literature review of RL in terms of basic ideas, various types of algorithms, and their applications in power and energy systems. The challenges and further works are also discussed.","url":"https://doi.org/10.35833/mpce.2020.000552","authors":["Di Cao","Weihao Hu","Junbo Zhao","Guozhou Zhang","Bin Zhang","Zhou Liu","Zhe Chen","Frede Blaabjerg"],"tags":["Reinforcement learning","Software deployment","Computer science","Electric power system","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.35833/mpce.2020.000552","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7136425764","name":"Digital Twin Technology in Wind Turbine Condition Monitoring, Predictive Maintenance, and RUL Estimation: A Systematic Literature Review","source":"openalex","abstract":"The rapid growth of wind energy has increased the need for advanced condition monitoring (CM), predictive maintenance, and remaining useful life (RUL) estimation strategies for wind turbines. In this context, digital twins (DTs) have emerged as a key tool for improving reliability, availability, and operational efficiency by integrating physical models, operational data, and artificial intelligence (AI). This paper presents a systematic literature review (SLR) aimed at analyzing the state of the art, classifying the main applications, and identifying research gaps. A rigorous search protocol was applied across scientific databases, considering inclusion and exclusion criteria and analysis categories aligned with four research questions. The results show a high concentration of studies on critical wind turbine components, a predominance of hybrid physics-based and data-driven approaches, and an increasing use of deep learning (DL) models. However, several research gaps remain, including the predominance of component-level digital twin implementations rather than system-level architectures, the lack of standardized datasets and benchmarking frameworks, and challenges related to SCADA data heterogeneity and real-time scalability. It is concluded that DTs are evolving toward more autonomous and prescriptive systems; however, they still require further maturation for widespread industrial adoption.","url":"https://doi.org/10.3390/en19061477","authors":["Jorge Maldonado-Correa","José Cuenca","Joel Torres-Cabrera","Galo Cerda Mejía","Wilson Daniel Bastidas Barragan","Rocío Guapulema","Edwin Paccha-Herrera","Juan Carlos Solano","Darwin Tapia-Peralta","José Leonardo Benavides Maldonado","Cristian Laverde-Albarracín"],"tags":["Benchmarking","Systematic review","Turbine","Wind power","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-15","doi":"https://doi.org/10.3390/en19061477","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4409919426","name":"Application-Wise Review of Machine Learning-Based Predictive Maintenance: Trends, Challenges, and Future Directions","source":"openalex","abstract":"This systematic literature review (SLR) provides a comprehensive application-wise analysis of machine learning (ML)-driven predictive maintenance (PdM) across industrial domains. Motivated by the digital transformation of industry 4.0, this study explores how ML techniques optimize maintenance by predicting faults, estimating remaining useful life (RUL), and reducing operational downtime. Sixty peer-reviewed articles published between 2020 and 2024 were selected using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guidelines, and were analyzed based on industrial sector, ML techniques, datasets, evaluation metrics, and implementation challenges. Results show that combining ML with diverse sensor data enhances predictive performance under varying operational conditions across manufacturing, energy, healthcare, and transportation. Frequently used open datasets include the commercial modular aero-propulsion system simulation (CMAPSS), the malfunctioning industrial machine investigation and inspection (MIMII), and the semiconductor manufacturing process (SECOM) datasets, though data heterogeneity and imbalance remain major barriers. Emerging paradigms such as hybrid modeling, digital twins, and physics-informed learning show promise but face issues like computational cost, interpretability, and limited scalability. The findings highlight future research needs in model generalizability, real-world validation, and explainable artificial intelligence (AI) to bridge gaps between ML innovations and industrial practice.","url":"https://doi.org/10.3390/app15094898","authors":["Christos Tsallis","Panagiotis Papageorgas","Dimitrios Piromalis","Radu Munteanu"],"tags":["Computer science","Predictive maintenance","Engineering","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-28","doi":"https://doi.org/10.3390/app15094898","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3172134113","name":"Digital Transformation: Opportunities and Challenges for Leaders in the Emerging Countries in Response to Covid-19 Pandemic","source":"openalex","abstract":"Digital transformation is in a period of strong development, playing an important role in the development of public and private organizations. Its implications are still being clarified. However, up to now, the category of digital transformation has many different conceptions. Therefore, the objective of the paper contributes to the interpretation and discovery of the perception of digital transformation, the cognitive development of digital transformation, the positive aspects of the digital transformation process, the achievements achieved, the urgency of the digital transformation before the impact of the Covid-19 pandemic and challenges and limitations in the initiative of the contingent of civil servants and leaders in the digital transformation process. The research method is mainly based on the available documents from journals, books, research works, and the views of the authors expressed on the websites as a basis for making the analysis evaluate. The discoveries in the research will contribute to building the theoretical basis and direction in making some suggestions for leaders. In practical terms, research has shown that digital transformation can be a challenge, but perceive and prepare for leadership thinking innovation that drives successful digital transformation across countries, especially emerging countries is essential. Doi: 10.28991/esj-2021-SPER-03 Full Text: PDF","url":"https://doi.org/10.28991/esj-2021-sper-03","authors":["Nguyễn Hải Thanh","Quang Nguyễn Văn","Nguyễn Thị Tuyết"],"tags":["Digital transformation","Pandemic","Process (computing)","Transformation (genetics)","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-29","doi":"https://doi.org/10.28991/esj-2021-sper-03","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4388743825","name":"Digital twin: Application and prospect","source":"openalex","abstract":"Digital twin (DT) is considered one of the most promising enabling technologies for achieving intelligent manufacturing and Industry 4.0. The key characteristic of DT is the seamless integration between the cyber and physical spaces. The significance of DT is increasingly recognized by the academic and industrial communities. To understand the development and application of DT in industry, this paper provides an in-depth review of the research status of key components of DT, the current state of DT development, and its major applications in aerospace, industrial manufacturing and smart cities. This paper also outlines some potential directions for future work and discusses current challenges. First, the integration of machine learning algorithms with digital twins can enable more complex data analysis, decision-making, and predictive capabilities. Second, the application of blockchain technology in digital twin ecosystems can increase the potential for secure and transparent data sharing and collaboration. Finally, the expansion of the scope of digital twins can achieve environmental sustainability.","url":"https://doi.org/10.54254/2753-8818/12/20230477","authors":["Zhengyu Zhang"],"tags":["Scope (computer science)","Key (lock)","Industry 4.0","Computer science","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-16","doi":"https://doi.org/10.54254/2753-8818/12/20230477","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7163555772","name":"Cognitive Digital Twins: A Systematic Review of Definitions, Applications, and a Unified Definition","source":"openalex","abstract":"Cognitive Digital Twins (CDTs) are regarded as an evolved version of existing Digital Twin (DT) systems and are capable of certain cognitive abilities. However, the various introduced definitions and characteristics of CDTs, and different understandings of “cognition”, create conceptual ambiguity around CDTs. This paper critically reviews key definitions, application domains, capabilities, and proposed architectures of CDTs. Following PRISMA 2020 guidelines, a systematic review methodology is conducted across Scopus and Web of Science to map existing definitions, cognitive capabilities, and application domains of CDTs. Studies that explicitly implement or conceptualise a DT and explicitly mention cognitive, intelligent, autonomous, or AI-driven properties are included. Conversely, conference papers, book chapters, editorial pieces, review articles, and non-English publications are excluded from this review. The results of 59 reviewed studies present bibliometric metadata and a thematic analysis of early and recent definitions and applications of CDTs across various domains, such as manufacturing, which is the most studied discipline in terms of CDT implementation. Findings show that the understanding of cognitive enhancement has shifted toward the semantic enrichment of DT systems, with a significant emphasis on knowledge-driven approaches. The discussion focuses on identifying key differences between DTs and CDTs and synthesising existing definitions. The key contribution of this study is a unified definition of CDT, a mapping of cognitive capabilities and application domains, and a future research agenda. The review is not registered. The review is limited to journal articles, and the enabling CDT technologies, along with their implementations, are not addressed within this paper.","url":"https://doi.org/10.3390/info17060556","authors":["Tugce Bacnak","Yusuf Arayici","Omar Doukari","Kay Rogage","Richard Laing"],"tags":["Computer science","Cognition","Key (lock)","Ambiguity","Metadata"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-05","doi":"https://doi.org/10.3390/info17060556","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4394626308","name":"Digital supply chain: literature review of seven related technologies","source":"openalex","abstract":"This paper systematically reviews literature related with digital supply chains (DSC) and investigates the application status and development trend of different digital technologies in supply chain management. The review is conducted from the perspective of seven key digital supply chain technologies, i.e. Internet of Things (IoT) & Radio Frequency Identification (RFID), 5th Generation Mobile Communication Technology (5G), 3D Printing, Big data (BD), Blockchain, Digital Twins (DT), and Intelligent autonomous vehicles (IAVs). It highlights the main limitations and opportunities of the various DSC technologies, provides an overview of prior studies, and identifies knowledge gaps by outlining the advantages, weaknesses and restrictions of individual technology. The paper also aims at providing a development framework as a roadmap for the match of different digital technologies with different strategic goals.","url":"https://doi.org/10.1051/mfreview/2024006","authors":["Shuo Zhang","Qianhui Yu","Shuwei Wan","Hanyue Cao","Yun Huang"],"tags":["Supply chain","Radio-frequency identification","Strengths and weaknesses","Supply chain management","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1051/mfreview/2024006","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W1236607910","name":"How parents of young children manage digital devices at home: the role of income, education and parental style","source":"openalex","abstract":"How parents of young children manage digital devices at home: The role of income, education and parental style.","url":"https://openalex.org/W1236607910","authors":["Sonia Livingstone","Giovanna Mascheroni","Michael Dreier","Chaudron Stéphane","Kaat Lagae"],"tags":["Style (visual arts)","Developmental psychology","Psychology","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-09-01","doi":"","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4399072707","name":"Digital Manufacturing for Advanced Manufacturing Technologies: A Review of Successful Implementation for Plasma Processing Digital Twin Framework Development","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4846321","authors":["Alasdair Mitchell","Xinyang Wei","Rongyun Sun","Kazuya Yamamura","Long Ye","Jonathan Corney","Nan Yu"],"tags":["Manufacturing engineering","Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.2139/ssrn.4846321","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4413914502","name":"A review: digital twin application in bridge fire engineering and management","source":"openalex","abstract":"Despite the substantial danger that fires create, the implementation of digital twin (DT) technology in fire engineering has not been fully developed. Fire suppression systems do not exist in bridges while they stand as open structures that become quickly vulnerable to thermal damage and material breakdown leading to possible collapse. Existing fire safety models perform static evaluations because they do not track urgent fire propagation or structural response behaviours in real-time. This review discloses a comprehensive analysis about DT functionality within bridge fire engineering by highlighting both present obstacles alongside potential growth prospects. The proposed framework builds an improved design technology system through the combination of fire modelling with artificial intelligence (AI)-driven predictions and automatic emergency responses. Through its proposed frameworks the system allows adaptive self-learning fire safety protocols which move beyond static fire resistance standards to use dynamic data-driven methods for risk evaluation. The presented work connects absent technical knowledge in fire security system engineering by integrating a complete technical framework that improves safety resilience alongside emergency planning and protection of damaged structures in vital bridge networks. Interdisciplinary teams need to develop advanced AI and Internet of Things (IoT) with cyber-physical systems to build DT foundation for future fire safety engineering according to the research findings.","url":"https://doi.org/10.1080/27525783.2025.2545236","authors":["Osumanu Musah Mohammed","Yanping Zhu"],"tags":["Bridge (graph theory)","Construction engineering","Engineering","Architectural engineering","Forensic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-02","doi":"https://doi.org/10.1080/27525783.2025.2545236","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2946375246","name":"Hyperspectral imaging with a TWINS birefringent interferometer","source":"openalex","abstract":"We introduce a high-performance hyperspectral camera based on the Fourier-transform approach, where the two delayed images are generated by the Translating-Wedge-Based Identical Pulses eNcoding System (TWINS) [Opt. Lett. 37, 3027 (2012)], a common-path birefringent interferometer that combines compactness, intrinsic interferometric delay precision, long-term stability and insensitivity to vibrations. In our imaging system, TWINS is employed as a time-scanning interferometer and generates high-contrast interferograms at the single-pixel level. The camera exhibits high throughput and provides hyperspectral images with spectral background level of -30dB and resolution of 3 THz in the visible spectral range. We show high-quality spectral measurements of absolute reflectance, fluorescence and transmission of artistic objects with various lateral sizes.","url":"https://doi.org/10.1364/oe.27.015956","authors":["Antonio Perri","Bárbara E. Nogueira de Faria","Danielle C. Teles-Ferreira","Daniela Comelli","Gianluca Valentini","Fabrizio Preda","Dario Polli","Ana Paula","Giulio Cerullo","Cristian Manzoni"],"tags":["Hyperspectral imaging","Optics","Interferometry","Spectral imaging","Birefringence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-21","doi":"https://doi.org/10.1364/oe.27.015956","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4403769510","name":"Digital Twins for Advanced Manufacturing: The Standardized Approach","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-69107-2_7","authors":["Guodong Shao","Deogratias Kibira","Simon Frechette"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-69107-2_7","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4292261731","name":"ReImagine Lab: Bridging the Gap Between Hands-On, Virtual and Remote Control Engineering Laboratories Using Digital Twins and Extended Reality","source":"openalex","abstract":"Practical work is one of the most important instructional tools in control engineering. To address concerns linked to the cost and space requirements of traditional hands-on laboratories, technology-enabled laboratory modes, such as virtual, remote, and take-home laboratory modes are proposed. Each of these alliterative laboratory modes has its own set of benefits and emphasizes a distinct learning goal. Furthermore, due to lockdown and physical proximity restrictions imposed by policies in response to the COVID-19 pandemic, the employment of these alliterative laboratory modes has been quickly increasing. The laboratories’ development, operation, and maintenance become more fragmented as a result of these many possibilities. In this study, we propose “ReImagine Lab” as a framework for leveraging digital twins and extended reality technologies to streamline the development and operation of hands-on, virtual, and distant laboratories. By increasing the level of interaction, immersion, and collaboration in technology-enabled laboratory forms, this framework intends to boost student engagement. The benefits of this framework are demonstrated by examining several use cases, and a 37-person “system usability study” is conducted to assess the usability of virtual laboratories employing desktop computers and immersive virtual reality.","url":"https://doi.org/10.1109/access.2022.3199371","authors":["Saleh Alsaleh","Aleksei Tepljakov","Ahmet Köse","Juri Belikov","Eduard Petlenkov"],"tags":["Usability","Computer science","Bridging (networking)","Virtual reality","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3199371","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4293150076","name":"Toward Data-Driven Optimal Control: A Systematic Review of the Landscape","source":"openalex","abstract":"This literature review extends and contributes to research on the development of data-driven optimal control. Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed reinforcement learning approaches for adaptive data-driven optimal control frameworks. The presented review discusses the development of model-based to model-free adaptive controllers, highlighting the use of data in control frameworks. In data-driven control frameworks, reinforcement learning methods may be used to derive the optimal policy for dynamical systems. Attractive characteristics of these methods include not requiring a mathematical model of complex systems, their inherent adaptive control capabilities, being an unsupervised learning technique and their decision-making abilities, which are both an advantage and motivation behind this approach. This review considers previous reviews on these topics, including recent work on data-driven control methods. In addition, this review shows the use of data to derive system dynamics, determine the control policy using feedback information, and tune fixed controllers. Furthermore, the review summarises various data-driven methods and their corresponding characteristics. Finally, the review provides a taxonomy, a timeline and a concise narrative of the development of model-based to model-free data-driven adaptive control and underlines the limitations of these techniques due to the lack of theoretical analysis. Areas of further work include theoretical analysis on stability and robustness for data-driven control systems, explainability of black-box policy learning techniques and an evaluation of the impact of the extension of system simulators to include digital twins.","url":"https://doi.org/10.1109/access.2022.3160709","authors":["Krupa Prag","Matthew Woolway","Turgay Çelik"],"tags":["Computer science","Reinforcement learning","Robustness (evolution)","Timeline","Adaptive control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3160709","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3168924868","name":"Simulation-based digital twin for the manufacturing of thermoplastic composites","source":"openalex","abstract":"The bond strength between a thermoformed fibre reinforced thermoplastic sheet and an injected polymer is the limiting factor for the structural integrity of overmoulded thermoplastic composites. In this contribution, a simulation based digital twin of the thermoforming process is presented. From numerical parametric studies a reduced order model based on Proper Orthogonal Decomposition (POD) is developed. The combination with machine learning methods enables the real-time computation of arbitrary physical reliable temperature fields with sufficient accuracy to be used for design purposes and as inline quality gates.","url":"https://doi.org/10.1016/j.procir.2021.05.001","authors":["André Hürkamp","Ralf Lorenz","Tim Ossowski","Bernd‐Arno Behrens","Klaus Dröder"],"tags":["Thermoforming","Thermoplastic","Thermoplastic composites","Composite material","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.05.001","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3128018143","name":"Development of models and methods for creating a digital twin of plant within the cyber-physical system for precision farming management","source":"openalex","abstract":"Abstract The paper discusses creation of a digital twin (DT) of plant for an intelligent cyber-physical system for managing precision farming. A new approach to formalization of DT knowledge is proposed to form expert knowledge within the subject area based on the ontological specification of stages of plant growth and development and multi-agent technology for creating stage agents and coordinated dynamic recalculation of stage duration and yield forecast based on events in the environment. The paper proposes a method for calculating the forecast for duration of plant development stages and yield based on expert knowledge. A “tube” model of the range of changes in parameters of plant development for each stage has been developed. The paper also introduces a method for calculating the yield forecast, as well as the dates of beginning and end for each plant development stage within the “tube” during their normal development and in case of critical situations, for example, frost or drought. Ontology of plant development is constructed for implementation of the “tube” model of environmental parameters, which is converted into a digital form within the ontology editor, available for use by agents. The paper describes the structure and functions of a smart plant DT, built on the basis of a knowledge base and a module for multi-agent planning of plant development stages (for example, wheat), integrated with external weather forecast and fact services. A brief description of the created prototype of the intelligent plant DT system in Java is given. Using the system, agronomists can create their own knowledge bases and DTs of the cultivated plants for each field or even field section. The system will be useful in modern crop production for precision farming, not only “place-wise” but also “time-wise”, i.e. in terms of the best time for performing agrotechnical operations.","url":"https://doi.org/10.1088/1742-6596/1703/1/012022","authors":["Petr Skobelev","Igor Mayorov","Elena Simonova","Oleg Ivanovich Goryanin","Alexey Zhilyaev","Aleksey Tabachinskiy","Vladimir Yalovenko"],"tags":["Ontology","Computer science","Knowledge base","Expert system","Duration (music)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-01","doi":"https://doi.org/10.1088/1742-6596/1703/1/012022","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4386254942","name":"Digital Twin as a Virtual Sensor for Wind Turbine Applications","source":"openalex","abstract":"Digital twins (DTs) have been implemented in various applications, including wind turbine generators (WTGs). They are used to create virtual replicas of physical turbines, which can be used to monitor and optimize their performance. By simulating the behavior of physical turbines in real time, DTs enable operators to predict potential failures and optimize maintenance schedules, resulting in increased reliability, safety, and efficiency. WTGs rely on accurate wind speed measurements for safe and efficient operation. However, physical wind speed sensors are prone to inaccuracies and failures due to environmental factors or inherent issues, resulting in partial or missing measurements that can affect the turbine’s performance. This paper proposes a DT-based sensing methodology to overcome these limitations by augmenting the physical sensor platform with virtual sensor arrays. A test bench of a direct drive WTG based on a permanent magnet synchronous generator (PMSG) was prepared, and its mathematical model was derived. MATLAB/Simulink was used to develop the WTG virtual model based on its mathematical model. A data acquisition system (DAS) equipped with an ActiveX server was used to facilitate real-time data exchange between the virtual and physical models. The virtual sensor was then validated and tuned using real sensory data from the physical turbine model. The results from the developed DT model showed the power of the DT as a virtual sensor in estimating wind speed according to the generated power.","url":"https://doi.org/10.3390/en16176246","authors":["Mahmoud Ibrahim","Anton Rassõlkin","Toomas Vaimann","Ants Kallaste","Jānis Zaķis","Van Khang Hyunh","Raimondas Pomarnacki"],"tags":["Turbine","Computer science","Reliability (semiconductor)","MATLAB","Simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-28","doi":"https://doi.org/10.3390/en16176246","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7133943002","name":"A review of digital twin applications for optimizing grain drying: Challenges and opportunities","source":"openalex","abstract":"In the face of global food security challenges and the continuously increasing pressure of drying energy consumption, problems such as uneven grain quality, local overheating and excessive humidity, and low energy efficiency caused by opaque processes and reliance on experience-based operations in traditional grain drying technologies have become increasingly prominent. Digital twin technology, as a new paradigm of dynamic interaction and mapping between virtual and real Spaces, is providing a revolutionary solution to the predicament of grain drying. This article systematically expounds the core composition, current development status and inherent limitations of digital twin technology, deeply analyzes its key role in predictive maintenance and product optimization, and compares the fundamental differences in its application paradigms in the industrial and agricultural fields. By comprehensively reviewing the research and application of digital twin technology in the field of grain drying, this paper demonstrates that as a key enabling technology, it can achieve visual monitoring, precise regulation and dynamic optimization of the drying process through the deep integration of Internet of Things perception, multi-scale modeling and intelligent algorithms. Research shows that the in-depth application of this technology can not only effectively solve the pain points such as uneven temperature and humidity distribution and excessive reliance on experience in traditional drying, but also significantly improve the quality of grains (such as reducing cracks and retaining nutrients), and at the same time achieve personalized process customization and a significant reduction in energy consumption, thereby strongly promoting the digital transformation of the grain drying industry toward high efficiency, low carbon and intelligence.","url":"https://doi.org/10.1080/07373937.2026.2631682","authors":["Jin Li","Chunshan Liu","Kezhen Chang","Siyu Chen","Yi Jin"],"tags":["Computer science","Systems engineering","Engineering","Process engineering","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-23","doi":"https://doi.org/10.1080/07373937.2026.2631682","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4283709230","name":"Beyond Digital Twins: Phygital Twins for Neuroergonomics in Human-Robot Interaction","source":"openalex","abstract":"International audience","url":"https://doi.org/10.3389/fnbot.2022.913605","authors":["Giacinto Barresi","Claudio Pacchierotti","Matteo Laffranchi","Lorenzo De Michieli"],"tags":["Computer science","Robot","Front (military)","Human–robot interaction","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-28","doi":"https://doi.org/10.3389/fnbot.2022.913605","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4388197075","name":"Enabling simulation services for digital twins of 5G/B5G mobile networks","source":"openalex","abstract":"Digital Twins (DTs) have been proposed as digital replicas of physical entities (e.g., manufacturing equipment), which one can observe in real-time and interact with. Digital Twins of Networks (DTNs) are increasingly being discussed in the literature, as an enabler for efficient data-driven network management and performance-driven network optimization (e.g., to support dynamic reconfiguration, or anticipate the effects of faults). A DTN includes service mapping models, i.e. models that can be fed with acquired data to produce insight on the network itself - e.g., to run what-if scenarios, based on multiple underlying technologies, from Machine Learning to analytical models, e.g. Markov Chains. In this paper we examine the case of DTNs of mobile networks, DTMNs, tailored to 5G and beyond, where issues of dynamic reconfiguration and fault anticipation are critical. We argue that simulation services should be offered by the DTMN in order to allow performance-driven network optimization, and that discrete-event network simulators are ideal instruments to be employed for this purpose. We discuss the challenges that need be addressed to make this happen, e.g., centralized vs. distributed implementation, gathering input from the physical network, security issues and hosting, and we review the possibilities offered by network simulation in terms of what-if analysis, defining the concepts of lockstep and branching analysis. We present a framework to endow a DTMN with simulation services and we exemplify it using Simu5G, a popular 5G/B5G simulation library for OMNeT++, as a reference case study.","url":"https://doi.org/10.1016/j.comcom.2023.10.017","authors":["Giovanni Nardini","Giovanni Stea"],"tags":["Computer science","Control reconfiguration","Distributed computing","Anticipation (artificial intelligence)","Cloudlet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-26","doi":"https://doi.org/10.1016/j.comcom.2023.10.017","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4403791772","name":"One-year outcomes of a digital twin intervention for type 2 diabetes: a retrospective real-world study","source":"openalex","abstract":"This retrospective observational study, building on prior research that demonstrated the efficacy of the Digital Twin (DT) Precision Treatment Program over shorter follow-up periods​​, aimed to examine glycemic control and reduced anti-diabetic medication use after one-year in a DT commercial program. T2D patients enrolled had adequate hepatic and renal function and no recent cardiovascular events. DT intervention powered by artificial intelligence utilizes precision nutrition, activity, sleep, and deep breathing exercises. Outcome measures included HbA1c change, medication reduction, anthropometrics, insulin markers, and continuous glucose monitoring (CGM) metrics. Of 1985 enrollees, 132 (6.6%) were lost to follow-up, leaving 1853 participants who completed one-year. At one-year, participants exhibited significant reductions in HbA1c [mean change: -1.8% (SD 1.7%), p < 0.001], with 1650 (89.0%) achieving HbA1c below 7%. At baseline, participants were on mean 1.9 (SD 1.4) anti-diabetic medications, which decreased to 0.5 (SD 0.7) at one-year [change: -1.5 (SD 1.3), p < 0.001]. Significant reductions in weight [mean change: -4.8 kg (SD 6.0 kg), p < 0.001], insulin resistance [HOMA2-IR: -0.1 (SD 1.2), p < 0.001], and improvements in β-cell function [HOMA2-B: +21.6 (SD 47.7), p < 0.001] were observed, along with better CGM metrics. These findings suggest that DT intervention could play a vital role in the future of T2D care.","url":"https://doi.org/10.1038/s41598-024-76584-7","authors":["Paramesh Shamanna","Ravi Sankar Erukulapati","Ashutosh M. Shukla","Lisa Shah","Bree Willis","Mohamed Thajudeen","Rajiv Kovil","Rahul Baxi","Mohsin Wali","Suresh Damodharan","Shashank Joshi"],"tags":["Type 2 diabetes","Intervention (counseling)","Retrospective cohort study","Medicine","Diabetes mellitus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-26","doi":"https://doi.org/10.1038/s41598-024-76584-7","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3131456253","name":"Digital Twin for Power System Steady-state Modelling, Simulation, and Analysis","source":"openalex","abstract":"PSDT (Digital twin of power systems) is a promising medium to exploit the bonus of a stream of state-of-the-art technologies in smart grid. This paper first reviews the PSDT and its framework as the background. Then we focus on its fundamental applying scenario-PSDT-based modelling, simulation, and analysis (PMSA) for the steady-state, which is a supplement to and more adaptive than its conventional model-based counterpart. The PMSA is designed under the proposed PSDT framework, and validated using numerous cases. PMSA, aiming at a revisit of steady-state analysis of power system in today's escience age, may make a profound impact on the energy system, the energy internet, and the data science.","url":"https://doi.org/10.1109/ei250167.2020.9346850","authors":["Yong Cui","Fei Xiao","Weihong Wang","Xing He","Chong Zhang","Yuan Zhang"],"tags":["Exploit","Computer science","Steady state (chemistry)","Focus (optics)","Electric power system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-30","doi":"https://doi.org/10.1109/ei250167.2020.9346850","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2989977014","name":"How can smart technologies contribute to sustainable product lifecycle management?","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2019.119423","authors":["Yang Liu","Yingfeng Zhang","Shan Ren","Miying Yang","Yutao Wang","Donald Huisingh"],"tags":["Cloud computing","Internet of Things","Analytics","Big data","Product lifecycle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-22","doi":"https://doi.org/10.1016/j.jclepro.2019.119423","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W1964480120","name":"Familial intracranial aneurysms. A review.","source":"openalex","abstract":"BACKGROUND: A familial occurrence of intracranial aneurysms is defined by the presence of such aneurysms in two or more first to third-degree family members. Families with two affected members may represent accidental aggregation. Other families show a frequency compatible with an autosomal dominant mode of inheritance. A genetic basis is also suggested by the younger average age of familial cases with a ruptured intracranial aneurysm (42.3 years versus an age range of 50-54 years for nonfamilial cases), occurrence at the same site or a mirror site in sibling pairs, occurrence in identical twins, and the association of intracranial aneurysms with genetically transmitted disorders. SUMMARY OF REVIEW: No reliable data are available about the occurrence of familial intracranial aneurysms among all patients with ruptured aneurysms; a frequency of 6.7% has been reported from a retrospective study, but a large part of the \"familial\" occurrence can be explained by fortuitous aggregation. The pathogenesis of familial intracranial aneurysms is not fully explained; a (partial) deficiency of type III collagen has been reported in sporadic, but not in familial, cases. Clinical decision analysis shows how the risk of harboring an intracranial aneurysm and the age of the patient are the main determinants for elective screening; lifetime risk of rupture (and therefore age) and surgical risks are the determinants for neurosurgical treatment. CONCLUSIONS: Surgical treatment is recommended for patients aged less than 70 years with a moderate or low surgical risk, and screening (preferably by intra-arterial digital subtraction angiography) is recommended only for relatives aged 35-65 years. Magnetic resonance angiography may develop into a useful alternative for screening, but the risks of diagnostic procedures play only a minor role in the decision analysis.","url":"https://doi.org/10.1161/01.str.23.7.1024","authors":["H W ter Berg","Diederik W.J. Dippel","M. Limburg","Wouter I. Schievink","J. van Gijn"],"tags":["Medicine","Aneurysm","Digital subtraction angiography","Family history","Sibling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1992-07-01","doi":"https://doi.org/10.1161/01.str.23.7.1024","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4295211222","name":"Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: Review, analysis, and classification for standardization of BESSs applications","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.est.2022.105627","authors":["Mohsen Eskandari","Amin Rajabi","Andrey V. Savkin","Mohammad Hassan Moradi","Zhao Yang Dong"],"tags":["Standardization","Computer science","Context (archaeology)","Renewable energy","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-09","doi":"https://doi.org/10.1016/j.est.2022.105627","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4366088263","name":"Impacts of digital twins on new business creation: insights from manufacturing industry","source":"openalex","abstract":"Purpose Digital twins (DTs) and other data-based solutions are gaining an increasing foothold in manufacturing business, whereas a mere physical product is often insufficient to satisfy all customers’ expectations. As a result, companies are seeking novel ways of value creation, and one exciting opportunity is the use of DTs in new business creation, where they can offer diverse possibilities for innovative businesses. This paper aims to examine the impacts and challenges of DTs on new business creation in the manufacturing industry. Design/methodology/approach This study used a qualitative research approach, which combined semistructured interviews and an iterative Delphi study as research methods. The participants for the interviews and Delphi study were from different sectors and roles in the manufacturing industry. Altogether, 10 interviewees from eight companies took part in the interviews, and the expert panel of the Delphi method contained 12 professionals. Findings The results of the study indicated that DT can significantly impact the business models of manufacturing companies. DT can enhance operations, offer cost savings and business growth and allow stakeholders to focus on core competencies while developing their businesses. Several challenges for leveraging DT were identified, such as data ownership, resource allocation, internal bureaucracy and the difficulty of demonstrating the actual value of data-based services to potential customers. Originality/value This paper provides a structured expert-led assessment of the potential impacts of DT utilization in the creation of new business opportunities.","url":"https://doi.org/10.1108/mbe-09-2022-0104","authors":["Mira Timperi","Kirsi Kokkonen","Lea Hannola","Kalle Elfvengren"],"tags":["Delphi method","Originality","Business","Knowledge management","Value (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-17","doi":"https://doi.org/10.1108/mbe-09-2022-0104","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4388592858","name":"Extending factory digital Twins through human characterisation in Asset Administration Shell","source":"openalex","abstract":"This paper extends the traditional factory digital twins by incorporating human characterisation in Asset Administration Shell (AAS). The extension lays the basis for human-centred control and management, as demonstrated by employing a prototype of the extended AAS in two proposed use cases. Referred to Industry 5.0, an accurate digital representation of humans as a basis of the data-based decision support to improve operators’ well-being and resilience. The AAS is extended to include dedicated digital models accommodating a set of properties to describe the human operators and its interactions with the surrounding shop-floor resources. Two reference use cases have been designed in the context of a complete lab-scale manufacturing system: equipment and devices have been modelled according to the AAS standard, exposing information via MQTT, and have been integrated with the proposed AAS definition of human operators. Operators have been equipped with wearable sensors and a dashboard providing them with feedback from the manufacturing environment and notifications about changes. As part of the extension process, some ethical and regulation concerns are discussed, highlighting that the extended AAS is mature enough to support the inclusion of human operators, but regulations struggle to keep up with technological advances.","url":"https://doi.org/10.1080/0951192x.2023.2278108","authors":["Vincenzo Cutrona","Niko Bonomi","Elias Montini","Tamás Ruppert","Giacomo Delinavelli","Paolo Pedrazzoli"],"tags":["Factory (object-oriented programming)","Process (computing)","Asset (computer security)","Computer science","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-11","doi":"https://doi.org/10.1080/0951192x.2023.2278108","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4283267123","name":"Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs","source":"openalex","abstract":"Digital twins (DTs) and building information modelling (BIM) are proving to be valuable tools for managing the entire life cycle of a building (LCB), from the early design stages to management and maintenance over time. On the other hand, BIM platforms cannot manage the geometric complexities of existing buildings and the large amount of information that sensors can collect. For this reason, this research proposes a scan-to-BIM process capable of managing high levels of detail (LODs) and information (LOIs) during the design, construction site management, and construction phases. Specific grades of generation (GOGs) were applied to create as-found, as-designed, and as-built models that interact with and support the rehabilitation project of a multi-level residential building. Furthermore, thanks to the sharing of specific APIs (Revit and Autodesk Forge APIs), it was possible to switch from static representations to novel levels of interoperability and interactivity for the user and more advanced forms of building management such as a DT, a BIM cloud, and an extended reality (XR) web platform. Finally, the development of a live app shows how different types of users (professionals and non-expert) can interact with the DT, in order to know the characteristics with which the environments have been designed, as well as the environmental parameters, increasing their degree of control, from the point of view of improving comfort, use, costs, behaviour, and good practices. Finally, the overall approach was verified through a real case study where the BIM-XR platform was built for energy improvements to existing buildings and façade renovations.","url":"https://doi.org/10.3390/en15124497","authors":["Fabrizio Banfi","Raffaella Brumana","Graziano Salvalai","M. Previtali"],"tags":["Building information modeling","Interoperability","Interactivity","Process (computing)","Facility management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-20","doi":"https://doi.org/10.3390/en15124497","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4384665338","name":"Social Drivers and Algorithmic Mechanisms on Digital Media","source":"openalex","abstract":"On digital media, algorithms that process data and recommend content have become ubiquitous. Their fast and barely regulated adoption has raised concerns about their role in well-being both at the individual and collective levels. Algorithmic mechanisms on digital media are powered by social drivers, creating a feedback loop that complicates research to disentangle the role of algorithms and already existing social phenomena. Our brief overview of the current evidence on how algorithms affect well-being, misinformation, and polarization suggests that the role of algorithms in these phenomena is far from straightforward and that substantial further empirical research is needed. Existing evidence suggests that algorithms mostly reinforce existing social drivers, a finding that stresses the importance of reflecting on algorithms in the larger societal context that encompasses individualism, populist politics, and climate change. We present concrete ideas and research questions to improve algorithms on digital platforms and to investigate their role in current problems and potential solutions. Finally, we discuss how the current shift from social media to more algorithmically curated media brings both risks and opportunities if algorithms are designed for individual and societal flourishing rather than short-term profit.","url":"https://doi.org/10.1177/17456916231185057","authors":["H. Metzler","David García"],"tags":["Social media","Flourishing","Computer science","Misinformation","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-19","doi":"https://doi.org/10.1177/17456916231185057","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4378078050","name":"The Digital Twin: A Potential Solution for the Personalized Diagnosis and Treatment of Musculoskeletal System Diseases","source":"openalex","abstract":"Due to the high prevalence and rates of disability associated with musculoskeletal system diseases, more thorough research into diagnosis, pathogenesis, and treatments is required. One of the key contributors to the emergence of diseases of the musculoskeletal system is thought to be changes in the biomechanics of the human musculoskeletal system. However, there are some defects concerning personal analysis or dynamic responses in current biomechanical research methodologies. Digital twin (DT) was initially an engineering concept that reflected the mirror image of a physical entity. With the application of medical image analysis and artificial intelligence (AI), it entered our lives and showed its potential to be further applied in the medical field. Consequently, we believe that DT can take a step towards personalized healthcare by guiding the design of industrial personalized healthcare systems. In this perspective article, we discuss the limitations of traditional biomechanical methods and the initial exploration of DT in musculoskeletal system diseases. We provide a new opinion that DT could be an effective solution for musculoskeletal system diseases in the future, which will help us analyze the real-time biomechanical properties of the musculoskeletal system and achieve personalized medicine.","url":"https://doi.org/10.3390/bioengineering10060627","authors":["Tianze Sun","Jinzuo Wang","Moran Suo","Xin Liu","Huagui Huang","Jing Zhang","Wentao Zhang","Zhonghai Li"],"tags":["Perspective (graphical)","Healthcare system","Field (mathematics)","Personalized medicine","Musculoskeletal disease"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-23","doi":"https://doi.org/10.3390/bioengineering10060627","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4413258867","name":"Rethinking digital twin: Introducing digital risk twin for disaster risk management","source":"openalex","abstract":"Abstract The digital risk twin (DRT) adapts digital twin (DT) for disaster risk management (DRM) by integrating automated and manual data collection methods, such as IoT, remote sensing, surveys and field observations, while incorporating human-in-the-loop decision-making for flexible and effective interventions, maintaining real-time virtual simulations, and addressing disaster scenario challenges.","url":"https://doi.org/10.1038/s44304-025-00135-x","authors":["Saman Ghaffarian"],"tags":["Risk management","Computer science","Field (mathematics)","Emergency management","Psychological intervention"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-08","doi":"https://doi.org/10.1038/s44304-025-00135-x","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4295605250","name":"Digital twin predicting diet response before and after long-term fasting","source":"openalex","abstract":"Today, there is great interest in diets proposing new combinations of macronutrient compositions and fasting schedules. Unfortunately, there is little consensus regarding the impact of these different diets, since available studies measure different sets of variables in different populations, thus only providing partial, non-connected insights. We lack an approach for integrating all such partial insights into a useful and interconnected big picture. Herein, we present such an integrating tool. The tool uses a novel mathematical model that describes mechanisms regulating diet response and fasting metabolic fluxes, both for organ-organ crosstalk, and inside the liver. The tool can mechanistically explain and integrate data from several clinical studies, and correctly predict new independent data, including data from a new study. Using this model, we can predict non-measured variables, e.g. hepatic glycogen and gluconeogenesis, in response to fasting and different diets. Furthermore, we exemplify how such metabolic responses can be successfully adapted to a specific individual's sex, weight, height, as well as to the individual's historical data on metabolite dynamics. This tool enables an offline digital twin technology.","url":"https://doi.org/10.1371/journal.pcbi.1010469","authors":["Oscar Silfvergren","Christian Simonsson","Mattias Ekstedt","Peter Lundberg","Peter Gennemark","Gunnar Cedersund"],"tags":["Gluconeogenesis","Computer science","Biology","Bioinformatics","Endocrinology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-12","doi":"https://doi.org/10.1371/journal.pcbi.1010469","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4409470448","name":"Physical twinning for joint encoding-decoding optimization in computational optics: a review","source":"openalex","abstract":"Computational optics introduces computation into optics and consequently helps overcome traditional optical limitations such as low sensing dimension, low light throughput, low resolution, and so on. The combination of optical encoding and computational decoding offers enhanced imaging and sensing capabilities with diverse applications in biomedicine, astronomy, agriculture, etc. With the great advance of artificial intelligence in the last decade, deep learning has further boosted computational optics with higher precision and efficiency. Recently, there developed an end-to-end joint optimization technique that digitally twins optical encoding to neural network layers, and then facilitates simultaneous optimization with the decoding process. This framework offers effective performance enhancement over conventional techniques. However, the reverse physical twinning from optimized encoding parameters to practical modulation elements faces a serious challenge, due to the discrepant gap in such as bit depth, numerical range, and stability. In this regard, this review explores various optical modulation elements across spatial, phase, and spectral dimensions in the digital twin model for joint encoding-decoding optimization. Our analysis offers constructive guidance for finding the most appropriate modulation element in diverse imaging and sensing tasks concerning various requirements of precision, speed, and robustness. The review may help tackle the above twinning challenge and pave the way for next-generation computational optics.","url":"https://doi.org/10.1038/s41377-025-01810-4","authors":["Liheng Bian","Xinrui Zhan","Rong Yan","Xuyang Chang","Hua Huang","Jun Zhang"],"tags":["Computer science","Decoding methods","Robustness (evolution)","Encoding (memory)","Computational complexity theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-14","doi":"https://doi.org/10.1038/s41377-025-01810-4","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4288514369","name":"Recommendations for ethical and responsible use of artificial intelligence in digital agriculture","source":"openalex","abstract":"Artificial intelligence (AI) applications are an integral and emerging component of digital agriculture. AI can help ensure sustainable production in agriculture by enhancing agricultural operations and decision-making. Recommendations about soil condition and pesticides or automatic devices for milking and apple picking are examples of AI applications in digital agriculture. Although AI offers many benefits in farming, AI systems may raise ethical issues and risks that should be assessed and proactively managed. Poor design and configuration of intelligent systems may impose harm and unintended consequences on digital agriculture. Invasion of farmers' privacy, damaging animal welfare due to robotic technologies, and lack of accountability for issues resulting from the use of AI tools are only some examples of ethical challenges in digital agriculture. This paper examines the ethical challenges of the use of AI in agriculture in six categories including fairness, transparency, accountability, sustainability, privacy, and robustness. This study further provides recommendations for agriculture technology providers (ATPs) and policymakers on how to proactively mitigate ethical issues that may arise from the use of AI in farming. These recommendations cover a wide range of ethical considerations, such as addressing farmers' privacy concerns, ensuring reliable AI performance, enhancing sustainability in AI systems, and reducing AI bias.","url":"https://doi.org/10.3389/frai.2022.884192","authors":["Rozita Dara","Seyed Mehdi Hazrati Fard","Jasmin Kaur"],"tags":["Agriculture","Sustainability","Transparency (behavior)","Accountability","Harm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-29","doi":"https://doi.org/10.3389/frai.2022.884192","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2774676965","name":"Enhancing plastic deformability of Mg and its alloys—A review of traditional and nascent developments","source":"openalex","abstract":"Mg and its alloys have continued to attract interest for several structural and super-sensitive applications because of their light weight and good combination of engineering properties. However for some of these applications, high plastic deformability is required to achieve desired component shapes and configurations; unfortunately, Mg and its alloys have low formability. Scientifically, the plastic behaviour of Mg and its alloys ranks among the most complex and difficult to reconcile in metallic material systems. But basically, the HCP crystal structure coupled with low stacking fault energies (SFE) are largely linked to the poor ductility exhibited by Mg alloys. These innate material characteristics have regrettably limited wide spread applicability of Mg and its alloys. Several research efforts aimed at exploring processing strategies to make these alloys more amenable for high formability – mediated engineering use have been reported and still ongoing. This paper reviews the structural metallurgy of Mg alloys and its influence on mechanical behaviour, specifically, plasticity characteristics. It also concisely presents various processing routes (Alloying, Traditional Forming and Severe Plastic Deformation (SPD)) which have been explored to enhance plastic deformability in Mg and its alloys. Grain refinement and homogenising of phases, reducing CRSS between slip modes, twinning suppression to activate non-basal slip, and weakening and randomisation of the basal texture were observed as the formability enhancing strategies explored in the reviewed processes. While identifying the limitations of these strategies, further areas to be explored for enhancing plasticity of Mg alloys are highlighted.","url":"https://doi.org/10.1016/j.jma.2017.11.001","authors":["Kenneth Kanayo Alaneme","Eloho Anita Okotete"],"tags":["Formability","Materials science","Crystal twinning","Plasticity","Ductility (Earth science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-12-01","doi":"https://doi.org/10.1016/j.jma.2017.11.001","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4392583185","name":"Reviewing applications of digital twins in building management in response to the Covid-19 pandemic","source":"openalex","abstract":"During the COVID-19 pandemic, managing buildings and ensuring the safety of occupants has become increasingly challenging. To tackle these challenges, the concept of digital twins has emerged as a promising solution. This literature review explores the use of digital twins in building management during the pandemic. By analyzing previous studies, scientific research, and technical reports, we have identified key findings. Digital twins have proven effective in predicting and assessing airborne transmission risks in public buildings. Through simulating the internal environment, building operators can proactively optimize airflow, ventilation, humidity levels, and implement social distancing measures to prevent the spread of the virus. The results emphasize the crucial role of digital twins in predicting and assessing airborne transmission risks, enabling proactive measures to mitigate virus transmission. Furthermore, digital twins support safer management practices by monitoring passenger information and behavior, predicting infections, and preventing future issues in crowded spaces. The conclusions underscore the importance of embracing digitization concepts and digital twins in the architecture sector to create safe, healthy, and intelligent buildings that can diagnose problems and offer effective solutions. The study recommends further research and development in the field of digital twins to fully harness their potential to address current and future challenges in building management.","url":"https://doi.org/10.1063/5.0199662","authors":["Hasan Ali Hassony","Ahmed Louy Ahmed"],"tags":["Pandemic","Coronavirus disease 2019 (COVID-19)","Computer science","2019-20 coronavirus outbreak","Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1063/5.0199662","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4410772788","name":"Quantifying digital innovation for the twin transition","source":"openalex","abstract":"This paper explores the role of digital technologies for the green transition and the empirical relationships between digital innovation and environmental innovation. It develops new patent-based indicators to measure digital innovation more comprehensively, as well as “twin transition” innovation that is both digital and environmental. The paper also reviews global trends in twin transition innovation and investigates digital innovation as a precursor to environmental innovation.","url":"https://doi.org/10.1787/8cc4cff0-en","authors":["Abenezer Zeleke Aklilu","Damien Dussaux","Axel Verrier"],"tags":["Transition (genetics)","Computer science","Biology","Genetics","Gene"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-27","doi":"https://doi.org/10.1787/8cc4cff0-en","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4312210192","name":"Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems","source":"openalex","abstract":"Radar is widely employed in many applications, especially in autonomous driving. At present, radars are only designed as simple data collectors, and they are unable to meet new requirements for real-time and intelligent information processing as environmental complexity increases. It is inevitable that smart radar systems will need to be developed to deal with these challenges and digital twins in cyber-physical systems (CPS) have proven to be effective tools in many aspects. However, human involvement is closely related to radar technology and plays an important role in the operation and management of radars; thus, digital twins' radars in CPS are insufficient to realize smart radar systems due to the inadequate consideration of human factors. ACP-based parallel intelligence in cyber-physical-social systems (CPSS) is used to construct a novel framework for smart radars, called Parallel Radars. A Parallel Radar consists of three main parts: a Descriptive Radar for constructing artificial radar systems in cyberspace, a Predictive Radar for conducting computational experiments with artificial systems, and a Prescriptive Radar for providing prescriptive control to both physical and artificial radars to complete parallel execution. To connect silos of data and protect data privacy, federated radars are proposed. Additionally, taking mines as an example, the application of Parallel Radars in autonomous driving is discussed in detail, and various experiments have been conducted to demonstrate the effectiveness of Parallel Radars.","url":"https://doi.org/10.3390/s22249930","authors":["Yuhang Liu","Yu Shen","Lili Fan","Yonglin Tian","Yunfeng Ai","Bin Tian","Zhongmin Liu","Fei–Yue Wang"],"tags":["Radar","Computer science","Radar systems","Remote sensing","Radar configurations and types"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-16","doi":"https://doi.org/10.3390/s22249930","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4381996090","name":"Metaverse meets digital entrepreneurship: a practitioner-based qualitative synthesis","source":"openalex","abstract":"Purpose Considering the pervasiveness of technology, this article offers an understanding of how the metaverse can impact digital entrepreneurship. The objective will be to gather professional evidence on how the revival of this new technology can bring entrepreneurial development. Design/methodology/approach Through a qualitative study approach based on applying the metaverse in digital business contexts and analysing 533 practitioner sources from the Nexis Uni database, it will be possible to identify the concepts and application techniques of this emerging technology. The research adopts a qualitative methodology based on a mixed thematic and content review using tools such as ATLAS.ti and Leximancer. Findings This study finds three relevant macro-topics for metaverse and digital entrepreneurship (technology, immersive and design) and eight concepts (private solutions, digital twins, gamification, public solutions, new business worlds, co-design, collaborative spaces and stakeholders' participation). The uncovered elements demonstrate professionals' interest in a new mode of digital entrepreneurship using the metaverse. This interest highlights the commitment of companies and entrepreneurs toward discovering new services delivered in virtual and parallel worlds that find the creation of digital twins as their essence. Therefore, the study explores ongoing relationships for developing increasingly technically complex metaverse platforms and customer service offerings. Research limitations/implications The study has some limitations as the selection of the database and the way the cases are focused on, which may be a stimulus for future studies. The analysis has innumerable theoretical and practical implications. In the first case, this research will shed light on an empirical case concerning the conceptual difference between innovation or greater transformation of business models through the metaverse. This work will directly contribute to the global discussion by identifying a model for applying emerging technology to digital entrepreneurs. Finally, from a practical point of view, the authors will provide new insights to digital entrepreneurs by showing them applications, best practices, and platforms they can use for their businesses. Practical implications On a practical level, the authors show practical opportunities coming from the metaverse for digital entrepreneurs. This study may inspire CEOs, managers, and future entrepreneurs to use the metaverse to expand their businesses by diversifying their services into numerous sectors. Originality/value To the best of the authors' knowledge, this study represents one of the first efforts to study the metaverse by framing it from theoretical and practical perspectives of digital entrepreneurship. Additionally, future research implications may guide researchers in this brilliant research field.","url":"https://doi.org/10.1108/ijebr-01-2023-0041","authors":["Davide Calandra","Michele Oppioli","Razieh Sadraei","Vahid Jafari‐Sadeghi","Paolo Biancone"],"tags":["Metaverse","Entrepreneurship","Thematic analysis","Knowledge management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-24","doi":"https://doi.org/10.1108/ijebr-01-2023-0041","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4403128237","name":"Artificial Intelligence and Digital Health Twin Applications in Healthcare—A Systematic Review","source":"openalex","abstract":"This chapter systematically explores the potential of artificial intelligence (AI) and digital twins (DT) technology in healthcare. This chapter examines AI’s and DT’s opportunities, challenges, and applications in healthcare by addressing three research questions. The study followed the Scoping Reviews framework of the Preferred Reporting Items for Meta-Analyses Extension and Systematic Reviews to ensure a comprehensive research methodology and to find relevant research papers; a thorough search was conducted across multiple databases using specific keywords. The review included 37 research papers that satisfied the criteria for inclusion. Nevertheless, the study did not find any research papers that specifically investigated the application of DT in handling infectious disease outbreaks, implying a gap in the literature that needs to be addressed. The study concludes that more research is required in this area and highlights DT’s potential applications and challenges in healthcare, including patient, disease, and hospital management.","url":"https://doi.org/10.1201/9781003522096-1","authors":["Bhushan Pawar","Vijay Prakash","Lalit Garg","Charles Galdies","Sandra C. Buttiġieġ","Neville Calleja"],"tags":["Health care","Computer science","Psychology","Data science","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-04","doi":"https://doi.org/10.1201/9781003522096-1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4285224898","name":"Towards a Requirement-driven Digital Twin Architecture","source":"openalex","abstract":"The fourth industrial revolution introduces new technological innovations and amplifies the importance of some existing technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain, amongst others. Digital Twin (DT) has emerged as one of the most prominent technologies of this era and has caught the attention of the industry, academia, and governments. However, the realisation of the full potential of DT is challenged by the lack of standard terminologies and practices, amongst others. This is reflected in the state-of-the-art in DT architectures, which indicates that there is no widely accepted DT framework. Literature on DT architecture is dominated by application- and/or technology-specific architectures with components and connectors that not only vary extensively but are named differently. The use of different terminologies for components could hinder the ability to identify commonality in frameworks and makes it difficult for new entrants in the field to find guidance. Also, literature does not clarify on the connection between the requirements and the components of a DT architecture. To address these problems, this paper proposes a requirement-driven, technology-agnostic DT architecture that consists of standard components that can be traceable to the definitions, requirements, and mandatory functionalities of DT captured in existing literature. The architecture can be applied to various fields and uses cases, based on their respective needs. The paper aims at providing guidance for developing digital twin architectures for a flexible spectrum of applications.","url":"https://doi.org/10.1016/j.procir.2022.05.058","authors":["Chukwudi Nwogu","Giovanni Lugaresi","Anastasia Anagnostou","Andréa Matta","Simon J. E. Taylor"],"tags":["Realisation","Architecture","Reference architecture","Field (mathematics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.05.058","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4399387502","name":"Towards realizing nano-enabled precision delivery in plants","source":"openalex","abstract":"","url":"https://doi.org/10.1038/s41565-024-01667-5","authors":["Gregory V. Lowry","Juan Pablo Giraldo","Nicole F. Steinmetz","Astrid Avellan","Gözde S. Demirer","Kurt D. Ristroph","Gerald Wang","Christine Ogilvie Hendren","Christopher A. Alabi","Adam A. Caparco","Washington da Silva","Ivonne González‐Gamboa","Khara Grieger","Su‐Ji Jeon","Mariya V. Khodakovskaya","Hagay Kohay","Vivek Kumar","Raja T. T. Muthuramalingam","Hanna Poffenbarger","Swadeshmukul Santra","Robert D. Tilton","Jason C. White"],"tags":["Nanomedicine","Nanocarriers","Computer science","Nanotechnology","Agriculture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-06","doi":"https://doi.org/10.1038/s41565-024-01667-5","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4409253351","name":"Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects","source":"openalex","abstract":"The rising demand for energy requires high investments in network extensions and renewable sources, alongside replacing inefficient systems. Smart maintenance is important in minimizing unscheduled outages, reducing costs, improving network security, and increasing equipment’s life expectancy. The vast amount of data collected by sensors and measurements in energy networks makes it hard for humans to detect failures continuously. Thanks to recent breakthroughs in AI, the energy sector has boosted the use of intelligent algorithms in this field. Despite the widespread popularity and great results of machine learning (ML) models in many applications, they are mostly nevertheless considered ”black boxes” as understanding their functionality and transparency in real-world applications is challenging. Explainable Artificial Intelligence (XAI) tackles this by making AI systems’ decision-making processes transparent and interpretable. This review paper will not only make the roadmap clear but also ensure an in-depth awareness of the challenges, opportunities, and developments associated with this path by presenting two comprehensive taxonomies. Various XAI methods are compared; as an example, our findings show that SHAP offers high trustworthiness but is less suited for real-time use, while LIME provides faster solutions with lower trustworthiness. To the best of the authors’ knowledge, this is the first survey that provides an overview of XAI methods for energy systems maintenance (ESM). It addresses challenges like integrating XAI with IoT-powered digital twins, balancing explainability with cybersecurity, and ensuring scalability while proposing solutions to enhance reliability and efficiency. • Clear and detailed taxonomy for energy systems maintenance. • Holistic understanding of XAI in energy systems maintenance. • Challenges and solutions for implementing XAI in energy systems maintenance. • Overview of ML/DL-appropriate XAI algorithms, such as SHAP and LIME. • Emphasis on the need for standardized XAI evaluation metrics.","url":"https://doi.org/10.1016/j.rser.2025.115668","authors":["Mohammad Reza Shadi","Hamid Mirshekali","Hamid Reza Shaker"],"tags":["Current (fluid)","Systems engineering","Energy (signal processing)","Computer science","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-08","doi":"https://doi.org/10.1016/j.rser.2025.115668","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4285111246","name":"Open Process Automation- and Digital Twin-Based Performance Monitoring of a Process Manufacturing System","source":"openalex","abstract":"Open Process Automation (OPA) and Digital Twin (DT) technologies show great promise to reduce risk, downtime, and energy consumption, while improving safety and efficiency in manufacturing systems. OPA defines a reference architecture for the construction of scalable, reliable, interoperable, and secure automation systems with products from multiple vendors as a single, cohesive system. DTs are purpose-driven dynamic digital replicas of physical assets, processes, systems, or products. Both technologies enable increased options and competition for accelerating future innovation. However, there are significant challenges to adopting these technologies, including “plug-and-play” interoperability, access to data, access to equipment, and the combination of different DTs for system-wide improvements. This paper demonstrates and evaluates a DT Framework solution for performance monitoring in process manufacturing systems that aims to avoid unplanned downtime, a prevalent challenge that pressures profitability in manufacturing. The DT framework is built and demonstrated through an OPA testbed system that allows seamless gathering and analyzing of data from a process manufacturing line. The proposed DT framework solution provides guidelines to develop, test, and evaluate new system-wide DT solutions without interrupting production operations and without costly R&D investments.","url":"https://doi.org/10.1109/access.2022.3179982","authors":["Yassine Qamsane","James R. Phillips","Clare Savaglio","David S. Warner","Scott James","Kira Barton"],"tags":["Process (computing)","Computer science","Automation","Process automation system","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3179982","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4285287830","name":"Development of a 5G-enabled Digital Twin of a Machine Tool","source":"openalex","abstract":"The new cellular network standard 5G meets the networking requirements for many industrial use cases due to the advantages of low latency, high bandwidth, and high device density while providing a very good quality of service. These capabilities enable the wireless realization of digital twins (DT), a key element of cyber-physical production systems. A requirement of DT is the bidirectional exchange of information between the digital and the physical world. 5G is the only technology that enables wireless, highly scalable, and flexible realization of even safety- and latency-critical connections (e.g., between a machine tool and its motion control unit). In this paper, a 5G enabled DT of a machine tool for machine control and simulation is developed and implemented. A bidirectional control of the physical machine tool and the DT is realized by offloading the machine control unit to an edge server via 5G. The simulation instances are also offloaded to the edge server and obtain the required information from the control system. In addition, this paper outlines the components for implementing a 5G-enabled DT and aims to discuss the benefits, disadvantages, and potentials of the 5G-enabled DT.","url":"https://doi.org/10.1016/j.procir.2022.04.029","authors":["Jan Mertes","Moritz Glatt","Christian Schellenberger","Matthias Klar","Hans D. Schotten","Jan C. Aurich"],"tags":["Machine to machine","Computer science","Scalability","Wireless","Wireless network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.04.029","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2145070943","name":"Holographic optical metasurfaces: a review of current progress","source":"openalex","abstract":"In this article, we review recent developments in the field of surface electromagnetic wave holography. The holography principle is used as a tool to solve an inverse engineering problem consisting of designing novel plasmonic interfaces to excite either surface waves or free-space beams with any desirable field distributions. Leveraging on the new nanotechnologies to carve subwavelength features within the large diffracting apertures of conventional holograms, it is now possible to create binary holographic interfaces to shape both amplitude phase and polarization of light. The ability of the new generation of ultrathin and compact holographic optical devices to fully address light properties could find widespread applications in photonics.","url":"https://doi.org/10.1088/0034-4885/78/2/024401","authors":["Patrice Genevet","Federico Capasso"],"tags":["Holography","Physics","Optics","Polarization (electrochemistry)","Photonics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-01-22","doi":"https://doi.org/10.1088/0034-4885/78/2/024401","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4407683030","name":"Digital Twin and Artificial Intelligence in Machining: A Bibliometric Analysis","source":"openalex","abstract":"The past decade has witnessed an exodus toward smart and lean manufacturing methods. The trend includes integrating intelligent methods into sustainable manufacturing systems purposely to improve the machining efficiency, reduce waste and also optimize productivity. Manufacturing systems have seen transformations from conventional methods, leaning towards smart manufacturing in line with the industrial revolution 4.0. Since the manufacturing process encompasses a wide range of human development capacity, it is essential to analyze its developmental trends, thereby preparing us for future uncertainties. In this work, we have used a Bibliometric analysis technique to study the developmental trends relating to machining, digital twins and artificial intelligence techniques. The review comprises the current activities in relation to the development to this area. The article comprises a Bibliometric analysis of 464 articles that were acquired from the Web of Science database, with a search period until November 2024. The method of obtaining the data includes retrieval from the database, qualitative analysis and interpreting the data via visual representation. The raw data obtained were redrawn using the origin software, and their visual interpretations were represented using the VOSviewer software (VOSviewer_1.6.19). The results obtained indicate that the number of publications related to the searched keywords has remarkably increased since the year 2018, achieving a record maximum of over 80 articles in 2024. This is indicative of its increasing popularity. The analysis of the articles was conducted based on the author countries, journal types, journal names, institutions, article types, major and micro research areas. The findings from the analysis are meant to provide a bibliometric explanation of the developmental trends in machining systems towards achieving the IR 4.0 goals. Additionally, the results would be helpful to researchers and industrialists that intend to achieve optimum and sustainable machining using digital twin technologies.","url":"https://doi.org/10.70322/ism.2025.10005","authors":["Dambatta Yusuf Suleiman","Q. X. Li","Benkai Li","Yanbin Zhang","Bo Zhang","Danyang Liu","Wenqiang Zhang","Zhigang Zhou","Yuewen Feng","Qingfeng Bie","Xianxin Yin","Lesan Wang"],"tags":["Machining","Artificial intelligence","Computer science","Engineering","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.70322/ism.2025.10005","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4323047396","name":"Review of condition monitoring and defect inspection methods for composited cable terminals","source":"openalex","abstract":"Abstract Composited cable terminals are critical for reliable power delivery of traditional and traction power supply systems. During its operation, the cable terminal continually undergoes complex circumstances where humidity, temperature, field strength, mechanical stress and other factors continuously change at different levels. In extreme cases, defects or even failures may occur in the cable terminals, leading to catastrophic accidents. This makes the condition monitoring and defect detection of composited cable terminals become an imperative need for the power industry. The “state‐of‐the‐art” technology of cable terminal condition assessment is focussed and a systematic review of the current research progress of cable terminal condition assessment from the operation circumstances to failure mechanisms is provided. It covers both online/offline condition monitoring methods and defects detection approaches. In addition, challenges and future research directions for cable terminal condition assessment are also addressed. It is concluded that the non‐destructive and non‐intrusive methods like terahertz imaging and ultrasonic testing, and multi‐source information fusion methods as well as the digital twin technology have been gaining popularity for cable terminal defect inspection. It is expected the presented work can provide a global field of vision for further advancement of both scholars and industrial engineers in this field.","url":"https://doi.org/10.1049/hve2.12318","authors":["Shuaibing Li","Binglei Cao","Jin Li","Yi Cui","Yongqiang Kang","Guangning Wu"],"tags":["Terminal (telecommunication)","Reliability engineering","Computer science","Power cable","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-03","doi":"https://doi.org/10.1049/hve2.12318","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4408283245","name":"A Review of Industrial Digital Twin Technology Research: Progress, Challenges and Future Directions","source":"openalex","abstract":"With the rapid development of industrial Internet, Internet of Things (IoT), and big data technologies, digital twin technology has emerged as a pivotal tool in enhancing industrial productivity, optimizing resource allocation, and driving the evolution of smart manufacturing systems. This paper provides a comprehensive review of the current state of research on industrial digital twins, exploring their applications across various sectors such as production processes, equipment management, and quality control. The review highlights the technological advances that have enabled the widespread adoption of digital twins, including virtual modeling, real-time data transmission and processing, and data fusion. It also discusses the key challenges faced by industries in implementing digital twins, such as data accuracy and integration, the complexity of virtual model construction, and the need for standardization and cross-platform integration. Additionally, the paper addresses the ongoing development trends in the field, including the increasing integration of digital twins with artificial intelligence, machine learning, and cloud computing. Finally, the paper provides an outlook on the future directions of digital twin research, identifying areas for further innovation and application, and offers recommendations for overcoming current limitations to support wider industrial adoption. By summarizing the progress and challenges, this review aims to provide theoretical insights and practical guidance for advancing industrial digital twin technology.","url":"https://doi.org/10.62051/ijcsit.v5n2.03","authors":["Songming Liu"],"tags":["Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-27","doi":"https://doi.org/10.62051/ijcsit.v5n2.03","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400251602","name":"Deep neural operator enabled digital twin modeling for additive manufacturing","source":"openalex","abstract":"A digital twin (DT), with the components of a physics-based model, a data-driven model, and a machine learning (ML) enabled efficient surrogate model, behaves as a virtual twin of the real-world physical process. In terms of Laser Powder Bed Fusion (L-PBF) based additive manufacturing (AM), a DT can predict the current and future states of the melt pool and the resulting defects corresponding to the input laser parameters, evolve itself by assimilating in-situ sensor data, and optimize the laser parameters to mitigate defect formation. In this paper, we present a deep neural operator enabled DT framework for closed-loop feedback control of the L-PBF process. This is accomplished by building a physics-based computational model to accurately represent the melt pool states, an efficient Fourier neural operator (FNO) based surrogate model to approximate the melt pool solution field, followed by a physics-based procedure to extract information from the computed melt pool simulation that can further be correlated to the defect quantities of interest (e.g., surface roughness). An optimization algorithm is then exercised to control laser input and minimize defects. On the other hand, the constructed DT also evolves with the physical twin via offline finetuning and online material calibration. For instance, the probabilistic distribution of laser absorptivity can be updated to match the real-time captured thermal image data. Finally, a probabilistic framework is adopted for uncertainty quantification. The developed DT is envisioned to guide the AM process and facilitate high-quality manufacturing in L-PBF-based metal AM.","url":"https://doi.org/10.3934/acse.2024010","authors":["Ning Liu","Xuxiao Li","Manoj R. Rajanna","Edward W. Reutzel","Brady Sawyer","Prahalada Rao","Jim Lua","Nam Nhut Phan","Yue Yu"],"tags":["Operator (biology)","Computer science","Artificial neural network","Artificial intelligence","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.3934/acse.2024010","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3173403367","name":"Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization","source":"openalex","abstract":"The fast exploration of a design space and identification of the best process conditions facilitating the highest space-time yield are of great interest for manufacturers. To obtain this information, depending on the design space, a large number of practical experiments must be performed, analyzed, and evaluated. To reduce this experimental effort and increase the process understanding, we evaluated a model-based design of experiments to rapidly identify the optimum process conditions in a design space maximizing space-time yield. From a small initial dataset, hybrid models were implemented and used as digital bioprocess twins, thus obtaining the recommended optimal experiment. In cases where these optimum conditions were not covered by existing data, the experiment was carried out and added to the initial data set, re-training the hybrid model. The procedure was repeated until the model gained certainty about the best process conditions, i.e., no new recommendations. To evaluate this workflow, we utilized different initial data sets and assessed their respective performances. The fastest approach for optimizing the space-time yield in a three-dimensional design space was found with five initial experiments. The digital twin gained certainty after four recommendations, leading to a significantly reduced experimental effort compared to other state-of-the-art approaches. This highlights the benefits of in silico design space exploration for accelerating knowledge-based bioprocess development, and reducing the number of hands-on experiments, time, energy, and raw materials.","url":"https://doi.org/10.3390/pr9071109","authors":["Benjamin Bayer","Roger Dalmau Diaz","Michael Melcher","Gerald Striedner","Mark Duerkop"],"tags":["Workflow","Process (computing)","Design of experiments","Computer science","Space (punctuation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-25","doi":"https://doi.org/10.3390/pr9071109","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2738102248","name":"A Microservice-based Middleware for the Digital Factory","source":"openalex","abstract":"In recent years a considerable effort has been spent by research and industrial communities in the digitalization of production environments with the main objective of achieving a new automation paradigm, more flexible, responsive to changes, and safe. This paper presents the architecture, and discusses the benefits, of a distributed middleware prototype supporting a new generation of smart-factory-enabled applications with special attention paid to simulation tools. Devised within the scope of MAYA EU project, the proposed platform aims at being the first solution capable of empowering shop-floor Cyber-Physical-Systems (CPSs), providing an environment for their Digital Twin along the whole plant life-cycle. The platform implements a microservice IoT-Big Data architecture supporting the distributed publication of multidisciplinary simulation models, managing in an optimized way streams of data coming from the shop-floor for real-digital synchronization, ensuring security and confidentiality of sensible data.","url":"https://doi.org/10.1016/j.promfg.2017.07.197","authors":["Michele Ciavotta","Marino Alge","Silvia Menato","Diego Rovere","Paolo Pedrazzoli"],"tags":["Microservices","Middleware (distributed applications)","Factory (object-oriented programming)","Architecture","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-01-01","doi":"https://doi.org/10.1016/j.promfg.2017.07.197","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2046131459","name":"Review of oral appliances for treatment of sleep-disordered breathing","source":"openalex","abstract":"Between 1982 and 2006, there were 89 distinct publications dealing with oral appliance therapy involving a total of 3,027 patients, which reported results of sleep studies performed with and without the appliance. These studies, which constitute a very heterogeneous group in terms of methodology and patient population, are reviewed and the results summarized. This review focused on the following outcomes: sleep apnea (i.e. reduction in the apnea/hypopnea index or respiratory disturbance index), ability of oral appliances to reduce snoring, effect of oral appliances on daytime function, comparison of oral appliances with other treatments (continuous positive airway pressure and surgery), side effects, dental changes (overbite and overjet), and long-term compliance. We found that the success rate, defined as the ability of the oral appliances to reduce apnea/hypopnea index to less than 10, is 54%. The response rate, defined as at least 50% reduction in the initial apnea/hypopnea index (although it still remained above 10), is 21%. When only the results of randomized, crossover, placebo-controlled studies are considered, the success and response rates are 50% and 14%, respectively. Snoring was reduced by 45%. In the studies comparing oral appliances to continuous positive airway pressure (CPAP) or to uvulopalatopharyngoplasty (UPPP), an appliance reduced initial AHI by 42%, CPAP reduced it by 75%, and UPPP by 30%. The majority of patients prefer using oral appliance than CPAP. Use of oral appliances improves daytime function somewhat; the Epworth sleepiness score (ESS) dropped from 11.2 to 7.8 in 854 patients. A summary of the follow-up compliance data shows that at 30 months, 56-68% of patients continue to use oral appliance. Side effects are relatively minor but frequent. The most common ones are excessive salivation and teeth discomfort. Efficacy and side effects depend on the type of appliance, degree of protrusion, vertical opening, and other settings. We conclude that oral appliances, although not as effective as CPAP in reducing sleep apnea, snoring, and improving daytime function, have a definite role in the treatment of snoring and sleep apnea.","url":"https://doi.org/10.1007/s11325-006-0084-8","authors":["V. Hoffstein"],"tags":["Medicine","Oral appliance","Uvulopalatopharyngoplasty","Continuous positive airway pressure","Obstructive sleep apnea"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2006-11-28","doi":"https://doi.org/10.1007/s11325-006-0084-8","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4393322553","name":"Exploring the Potential of Digital Twins for New Product Design and Development: A Review of Research Gaps","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-56444-4_1","authors":["A. Sobowale","Helena Lopes","Justyna Trojanowska","Ana Lima","Pedro Marujo","José Machado"],"tags":["Product (mathematics)","New product development","Computer science","Business","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-56444-4_1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4285145787","name":"A Digital Twin Design for Maintenance Optimization","source":"openalex","abstract":"Digital Twin (DT) is being regarded as a suite of innovative technologies within the Industry 4.0 revolution. DT brings so much excitement to the industries pursuing digitalization. DT, as a real-time representation of a physical object supports manufacturers to enhance the yield from their operations. In particular, it offers a unique and advantageous outlook on the predictive maintenance of complex engineering assets. Along with DT, advanced systems simulation techniques enable industries to efficiently model and analyze real-world problems. In this study, a simulation-based DT design for the operation of a complex engineering asset is developed, in which the virtual model of the critical components is integrated with their degradation model. The DT design aims to understand the components’ degradation status and suggest a suitable maintenance intervention. The mathematical algorithm for the components’ remaining useful life and the related maintenance strategies is integrated with the DT model to determine the optimum service. The user interface is developed within the MATLAB app designer platform. A three-axis milling machine is selected to test the validity of the DT design.","url":"https://doi.org/10.1016/j.procir.2022.05.268","authors":["Oliver Davies","Abhishek Makkattil","Ce Jiang","Maryam Farsi"],"tags":["Systems engineering","Engineering","Interface (matter)","Asset (computer security)","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.05.268","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4312790235","name":"EditAR: A Digital Twin Authoring Environment for Creation of AR/VR and Video Instructions from a Single Demonstration","source":"openalex","abstract":"Augmented/Virtual reality and video-based media play a vital role in the digital learning revolution to train novices in spatial tasks. However, creating content for these different media requires expertise in several fields. We present EditAR, a unified authoring, and editing environment to create content for AR, VR, and video based on a single demonstration. EditAR captures the user’s interaction within an environment and creates a digital twin, enabling users without programming backgrounds to develop content. We conducted formative interviews with both subject and media experts to design the system. The prototype was developed and reviewed by experts. We also performed a user study comparing traditional video creation with 2D video creation from 3D recordings, via a 3D editor, which uses freehand interaction for in-headset editing. Users took 5 times less time to record instructions and preferred EditAR, along with giving significantly higher usability scores.","url":"https://doi.org/10.1109/ismar55827.2022.00048","authors":["Subramanian Chidambaram","Sai Swarup Reddy","Matthew Rumple","Ananya Ipsita","Ana Villanueva","Thomas S. Redick","Wolfgang Stuerzlinger","Karthik Ramani"],"tags":["Computer science","Multimedia","Headset","Content creation","Usability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-01","doi":"https://doi.org/10.1109/ismar55827.2022.00048","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2762443007","name":"Dialogue, thinking together and digital technology in the classroom: Some educational implications of a continuing line of inquiry","source":"openalex","abstract":"This article describes a continuing programme of school-based applied research. The basis of this research, which originated in a project called ‘Thinking Together’, lies in the relationship between language and cognitive development postulated by sociocultural theory. The research has developed and tested methods for improving the quality of classroom interaction amongst teachers and students, looking for improved levels of collaboration, reasoning, and academic attainment as the desirable outcomes. A key strand of this research concerns the use of digital technology for supporting classroom dialogue and students’ emerging thinking over time. As we will explain, the outcomes of several research projects pursuing this line of enquiry have yielded positive results which have direct implications for classroom pedagogy and practice.","url":"https://doi.org/10.1016/j.ijer.2017.08.007","authors":["Neil Mercer","Sara Hennessy","Paul Warwick"],"tags":["Pedagogy","Psychology","Line (geometry)","Sociology","Mathematics education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-10-13","doi":"https://doi.org/10.1016/j.ijer.2017.08.007","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4405618159","name":"Advancing Healthcare Through the Integration of Digital Twins Technology: Personalized Medicine’s Next Frontier","source":"openalex","abstract":"The use of Digital Twin technology has been expanding rapidly, and projections indicate that it will continue to proliferate across various applications, use cases, and industries, including healthcare. In recent years, the healthcare sector has seen an acceleration in digital transformation. This fast-paced change offers both opportunities and risks, especially with emerging technologies like digital twins, which are relatively untested and still in the early stages of adoption in medical care. This paper aims to conduct a literature review to explore how digital twins facilitate intelligent automation in healthcare. It defines the concept, traces the technology’s evolution and development, reviews its key enabling technologies, and examines current trends and challenges. The paper also presents a range of application examples in personalized medicine and public health, concluding with a succinct discussion of the primary technical and ancillary challenges, as well as the ethical issues that arise when applying digital twin technology to human subjects.","url":"https://doi.org/10.3390/fi16120477","authors":["Sharmin Attaran","Mohsen Attaran"],"tags":["Computer science","Frontier","Health care","Personalized medicine","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-20","doi":"https://doi.org/10.3390/fi16120477","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4415989401","name":"Digital twins in stroke rehabilitation: a scoping review of objectives, data sources, mechanisms, outcomes, and desirable properties","source":"openalex","abstract":"BACKGROUND: Digital Twins (DTs) have transitioned from theory to reality, with growing applications in healthcare. Data generated by technologies (e.g. rehabilitation robots), essential for DT implementation, though widely produced in clinical settings, remains untapped in DT stroke rehabilitation, highlighting a gap compared to broader healthcare use. OBJECTIVES: We conducted a scoping review to i) define DT rehabilitation objectives, their input data, generation methods and user involvement; ii) analyze mechanisms underpinning DT models and outputs; iii) map key stakeholders driving innovation; iv) identify desirable properties for DT studies from broader healthcare literature and map them to stroke rehabilitation DT studies. METHODS: Following PRISMA-ScR guidelines, PubMed, Scopus, Web of Science and Google Scholar were searched for studies including only empirical data. Full-text reviews were conducted by three reviewers through repeated calibration. RESULTS: Sixteen studies were included, addressing five rehabilitation objectives: upper-limb (10), gait (3), and engagement, mental health, and general/planning (1 each). Patient sample sizes varied widely, with one retrospective study including 1,216 patients, while 15 studies involved 54 patients in total (median = 1).We identified 16 DTs mechanisms (e.g. variational autoencoders, Hill muscle models) and outcomes (e.g. exoskeleton control, upper-limb exercise delivery, gait torque estimation, impaired hand-mobility quantification). Academic institutions conducted 12 studies, Europe contributed 8 studies across 6 countries. Of 25 desirable properties identified, 8 (e.g. reproducible algorithms) showed high adoption, while 15 (e.g. cost-effectiveness, clinical integration) showed low/very low adoption by included studies. CONCLUSIONS: DTs in stroke rehabilitation show promise, though challenges remain (e.g. patient involvement, scalability).","url":"https://doi.org/10.1080/10749357.2025.2584031","authors":["Alejandro García‐Rudolph","Mark Andrew Wright","Claudia Teixidó-Font","Rocío Sánchez-Carrión","Gunnar Cedersund","Eloy Opisso"],"tags":["Stroke (engine)","Physical medicine and rehabilitation","Rehabilitation","Medicine","Physical therapy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-07","doi":"https://doi.org/10.1080/10749357.2025.2584031","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2299593614","name":"Exceptional damage-tolerance of a medium-entropy alloy CrCoNi at cryogenic temperatures","source":"openalex","abstract":"High-entropy alloys are an intriguing new class of metallic materials that derive their properties from being multi-element systems that can crystallize as a single phase, despite containing high concentrations of five or more elements with different crystal structures. Here we examine an equiatomic medium-entropy alloy containing only three elements, CrCoNi, as a single-phase face-centred cubic solid solution, which displays strength-toughness properties that exceed those of all high-entropy alloys and most multi-phase alloys. At room temperature, the alloy shows tensile strengths of almost 1 GPa, failure strains of ∼70% and KJIc fracture-toughness values above 200 MPa m(1/2); at cryogenic temperatures strength, ductility and toughness of the CrCoNi alloy improve to strength levels above 1.3 GPa, failure strains up to 90% and KJIc values of 275 MPa m(1/2). Such properties appear to result from continuous steady strain hardening, which acts to suppress plastic instability, resulting from pronounced dislocation activity and deformation-induced nano-twinning.","url":"https://doi.org/10.1038/ncomms10602","authors":["Bernd Gludovatz","Anton Hohenwarter","Keli V.S. Thurston","Hongbin Bei","Zhenggang Wu","E.P. George","Robert O. Ritchie"],"tags":["Alloy","Materials science","Environmental science","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-02-02","doi":"https://doi.org/10.1038/ncomms10602","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4386714836","name":"Digital Strategies to Enhance Cultural Heritage Routes: From Integrated Survey to Digital Twins of Different European Architectural Scenarios","source":"openalex","abstract":"This paper focuses on a research project for the acquisition and post-production of digital data to create informative virtual representations and digital twins of different European Cultural Heritage sites. The goal was to establish a reliable database for a multi-scalar web platform, also accessible through extended reality (XR) tools. This initiative aims to support the promotion and management of cultural and historical monuments within the context of European Cultural Routes supported by the Council of Europe. The project involves different case studies spanning European geographic regions, such as the Upper Kama in Russia, the Valencian Routes of Jaime I in Spain, and the Gdańsk fortresses in Poland. The methodology employed in this effort primarily relies on integrated rapid survey techniques. Unmanned aerial vehicles (UAVs) and simultaneous localization and mapping (SLAM) technologies were used for data collection. These methods contribute to the creation of accurate 3D databases and models that transform the cultural routes into a digital format accessible via an informative platform. The actions presented in this paper are part of the European project “PROMETHEUS”, which is funded by the Horizon 2020 program of the European Union. The project involves collaboration between universities and enterprises, fostering inter-sectoral cooperation. Various techniques such as photographic archives, census analysis, and scan-to-BIM (building information modeling) processes are employed to develop this method further. In fact, the ultimate goal of the project is to establish a framework that can be replicated in other cultural contexts, enhancing the digital documentation and valorization of heritage sites.","url":"https://doi.org/10.3390/drones7090576","authors":["Sandro Parrinello","Francesca Picchio"],"tags":["European union","Cultural heritage","Documentation","Context (archaeology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-12","doi":"https://doi.org/10.3390/drones7090576","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2287081951","name":"Twin Screw Extruders as Continuous Mixers for Thermal Processing: a Technical and Historical Perspective","source":"openalex","abstract":"","url":"https://doi.org/10.1208/s12249-016-0485-3","authors":["Charlie Martin"],"tags":["Extrusion","Plastics extrusion","Mixing (physics)","Mechanical engineering","Pharmaceutical manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2016-02-01","doi":"https://doi.org/10.1208/s12249-016-0485-3","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3162636125","name":"Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic","source":"openalex","abstract":"Purpose Despite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions. Design/methodology/approach Systematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution. Findings Pharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption. Originality/value This is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.","url":"https://doi.org/10.1108/imds-01-2021-0022","authors":["Maureen S. Golan","Benjamin D. Trump","Jeffrey C. Cegan","Igor Linkov"],"tags":["Supply chain","Resilience (materials science)","Business","Context (archaeology)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-15","doi":"https://doi.org/10.1108/imds-01-2021-0022","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4205258958","name":"Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey","source":"openalex","abstract":"The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work while providing a substantial influence on the manufacturing scenario. The key enabling technology that has made Industry 4.0 a concrete reality is without doubtcollaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of employees’ safety and well-being, together with the increase of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this paper presents an accurate review of the most recent and relevant contributions to the related literature, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and the promising future developments in the context of the digital evolution.Note to Practitioners—The design and development of manufacturing systems are experiencing substantial changes towards full automation. This ongoing challenge is being tackled by academia and industrial practitioners with the adoption of collaborative robots, where the skills and peculiarities of humans (e.g., intelligence, creativity, adaptability, etc.) and robots (e.g., flexibility, pinpoint accuracy, tirelessness, etc.) are combined to better perform a variety of tasks. Nevertheless, due to their different characteristics, there is an emerging need for designing suitable decision and control techniques to ensure a safe and ergonomic HRC, while keeping the highest level of productivity. Against this background, the aim of this paper is to provide researchers and practitioners with a reference source in the related field, which can help them designing and developing suitable solutions to control problems in safe, ergonomic, and efficient collaborative robotics.","url":"https://doi.org/10.1109/tase.2021.3131011","authors":["Silvia Proia","Raffaele Carli","Graziana Cavone","Mariagrazia Dotoli"],"tags":["Context (archaeology)","Robotics","Control (management)","Engineering","Robot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-06","doi":"https://doi.org/10.1109/tase.2021.3131011","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4410563820","name":"Digital Twin Framework for Road Infrastructure Management","source":"openalex","abstract":"Digital twin (DT) technology has garnered increasing attention across various sectors, particularly in the construction and road infrastructure domains. To fully realize its potential and systematically apply it in practice, adherence to a formalized approach is necessary. However, numerous DT-related standards and models currently exist, creating uncertainty in the selection of appropriate frameworks. Moreover, no widely accepted standard or reference model has yet been developed in the field of road infrastructure management. Therefore, this study examined the current standards and models employed in the adoption and implementation of DTs in road infrastructure management, focusing on their dimensions (layers) and functional components. A bottom-up approach was adopted by comprehensively reviewing the existing literature on road networks, bridges, tunnels, and other civil infrastructures and urban DTs. Ultimately, a DT framework was developed, comprising five core layers with their respective components and functionalities, to facilitate network-level integrated road infrastructure management. Moreover, the proposed framework’s implementation scenario enhances its applicability in the field. Overall, this study provides valuable insights for researchers and practitioners involved in DT implementation in infrastructure management and supports future standardization efforts in this domain.","url":"https://doi.org/10.3390/app15105765","authors":["Munkhbaatar Buuveibaatar","Sungpil Shin","Wonhee Lee"],"tags":["Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-21","doi":"https://doi.org/10.3390/app15105765","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3110859166","name":"Augmented reality assisted calibration of digital twins of mobile robots","source":"openalex","abstract":"In this age of globalisation and digitalisation, industry is evolving from a physical space information flow towards a two-way communication between virtual and physical space. The challenge that this research aims to resolve is: ‘how can a virtual system adjust itself to the constantly changing conditions of the physical space of information that influences the operational dynamics of maintenance in industry?’. This article presents an augmented reality (AR) assisted digital twin (DT) solution that can be used to calibrate mobile robots in maintenance environments. This DT solution was achieved by providing the user the ability to predict the battery charge of the mobile robot by using historic data as the input and providing the user a visual representation of the mobile robot’s movements using an AR device as a medium to display this digital data. Overall, the trial demonstration was a success in implementing a DT to calibrate a mobile robot with AR assistance. Therefore, this DT solution can be implemented into niche areas of industrial environments. With the capability of predicting the battery charge enabling the user to know when the mobile robot will be empty, the user can maximise its use before recalling it for the charge. This would improve the accuracy of scheduling when mobile robots can be deployed and maximise the utilization of the robot and reduce the running cost of mobile robots in the long term.","url":"https://doi.org/10.1016/j.ifacol.2020.11.033","authors":["R.A. Williams","John Ahmet Erkoyuncu","Tariq Masood","Rok Vrabič"],"tags":["Augmented reality","Robot","Mobile robot","Computer science","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.ifacol.2020.11.033","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400997955","name":"Digital Twins in Supply Chain Operations Bridging the Physical and Digital Worlds using AI.","source":"openalex","abstract":"Digital Twins (DTs) are revolutionizing supply chain operations by creating dynamic digital replicas of physical assets, processes, and systems. This paper explores the integration of Artificial Intelligence (AI) with Digital Twins to bridge the physical and digital worlds in supply chain management. By leveraging AI, Digital Twins can analyze real-time data, predict future events, and optimize decision-making processes. This synergy enhances operational efficiency, reduces costs, and improves responsiveness to disruptions. We delve into the architecture of AI-driven Digital Twins, highlighting their components, data flow, and interaction mechanisms. Case studies across different industries demonstrate the practical applications and benefits of this technology. The discussion includes challenges such as data privacy, integration complexity, and the need for standardized protocols. Future research directions focus on advancing AI algorithms for better predictive capabilities and creating more robust, scalable Digital Twin frameworks. This paper underscores the transformative potential of AI-enhanced Digital Twins in creating agile, resilient, and intelligent supply chains.","url":"https://doi.org/10.52783/jes.5434","authors":["María Teresa Espinosa-Jaramillo"],"tags":["Bridging (networking)","Supply chain","Computer science","Business","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-10","doi":"https://doi.org/10.52783/jes.5434","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4315489061","name":"Addressing time discrepancy between digital and physical twins","source":"openalex","abstract":"Digital twins (DTs) represent a key technology in the development, real-time monitoring and optimisation of cyber–physical systems (CPSs). Such potential emerges as a result of the real-time coupling between DTs and their physical counterparts, where it is possible to make use of operational data as it is being generated in order to aid decision-making. Harnessing this potential presents several design challenges, such as the parallel operation of the DT and its physical twin (PT), and the necessary synchronisation thereof, to ensure coherent execution of the system in ensemble. In this paper we present an approach that handles situations where a DT and its PT get out of sync as a result of disturbances in the normal operational conditions of the DT–PT system, e.g., due to network degradation or temporary network drop. The purpose is to provide a best-effort functionality covering: user notification, degradation of DT to digital shadow (DS), with recovery mechanisms to re-establish the synchronisation between DT and PT.","url":"https://doi.org/10.1016/j.robot.2022.104347","authors":["Mirgita Frasheri","Henrik Ejersbo","Casper Thule","Cláudio Gomes","Jakob Levisen Kvistgaard","Peter Gorm Larsen","Lukas Esterle"],"tags":["Computer science","sync","Cyber-physical system","Key (lock)","Synchronization (alternating current)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-10","doi":"https://doi.org/10.1016/j.robot.2022.104347","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4367843921","name":"An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems","source":"openalex","abstract":"Abstract In recent times, digital twins (DT) is becoming an emerging and key technology for smart industrial control systems and Industrial Internet of things (IIoT) applications. The DT presently supports a significant tool that can generate a huge dataset for fault prediction and diagnosis in a real-time scenario for critical industrial applications with the support of powerful artificial intelligence (AI). The physical assets of DT can produce system performance data that is close to reality, which delivers remarkable opportunities for machine fault diagnosis for effective measured fault conditions. Therefore, this study presents an intelligent and efficient AI-based fault diagnosis framework using new hybrid optimization and machine learning models for industrial DT systems, namely, the triplex pump model and transmission system. The proposed hybrid framework utilizes a combination of optimization techniques (OT) such as the flower pollination algorithm (FPA), particle swarm algorithm (PSO), Harris hawk optimization (HHO), Jaya algorithm (JA), gray wolf optimizer (GWO), and Salp swarm algorithm (SSA), and machine learning (ML) such as K-nearest neighbors (KNN), decision tree (CART), and random forest (RF). The proposed hybrid OT–ML framework is validated using two different simulated datasets which are generated from both the mechanized triplex pump and transmission system models, respectively. From the experimental results, the hybrid FPA–CART and FPA–RF models within the proposed framework give acceptable results in detecting the most relevant subset of features from the two employed datasets while maintaining fault detection accuracy rates exemplified by the original set of features with 96.8% and 85.7%, respectively. Therefore, the results achieve good and acceptable performance compared to the other existing models for fault diagnosis in real time based on critical IIoT fields.","url":"https://doi.org/10.1007/s44196-023-00241-6","authors":["Samar M. Zayed","Gamal Attiya","Ayman El‐Sayed","Amged Sayed","Ezz El‐Din Hemdan"],"tags":["Particle swarm optimization","Computer science","Artificial intelligence","Machine learning","Decision tree"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-03","doi":"https://doi.org/10.1007/s44196-023-00241-6","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3010849215","name":"The freedom trap: digital nomads and the use of disciplining practices to manage work/leisure boundaries","source":"openalex","abstract":"Abstract The digital nomad idea of freedom is often a generalised and subjective notion of freedom that imagines a lifestyle and future where the tensions between work and leisure melt away. This paper finds that in practice, digital nomadism is not always experienced as autonomous and free but is a way of living that requires high levels of discipline and self-discipline. The research suggests that digital nomads often overlook the role of disciplining practices when first starting out, and do not foresee how working in sites of leisure and tourism might make managing a balance between work and non-work problematic. Longitudinal ethnographic fieldwork examines the extent of these disciplining practices and reveals that they are utilised to keep work and leisure time separate.","url":"https://doi.org/10.1007/s40558-020-00172-4","authors":["Dave Cook"],"tags":["Work (physics)","Ethnography","Tourism","Sociology","Balance (ability)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-12","doi":"https://doi.org/10.1007/s40558-020-00172-4","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400604064","name":"A Semantic Digital Twin for the Dynamic Scheduling of Industry 4.0-based Production of Precast Concrete Elements","source":"openalex","abstract":"Precast concrete construction enhances project efficiency, sustainability, and durability by leveraging a controlled production environment that ensures high-quality outputs. Still, the sequential nature of off-site production, encompassing casting, curing, and storage of the precast elements, is subject to significant uncertainties, including supply chain variability and environmental factors affecting curing times. Dynamic adjustments to the production schedule are essential for aligning with real-time changes, necessitating a robust framework for real-time data acquisition and analysis. Dynamic Scheduling (DS) is a responsive and adaptive approach that accommodates real-time changes, optimizes the production flow, and minimizes downtime or delays. However, the DS approach demands real-time data to quickly and efficiently respond to unforeseen challenges, which requires acquiring and analyzing production-relevant data throughout the production process. The Digital Twin (DT) emerges in Industry 4.0 (I4.0) as a bridge between physical operations and digital capabilities, enabling a seamless flow of information, for which the Asset Administration Shell (AAS) is a reference implementation. This study introduces a DS framework to optimize precast element production, utilizing a DT for real-time data aggregation across the production system. The framework implements a Semantic DT based on the AAS and the Linked Data approach. It employs Resource Description Framework (RDF) serialization of the AAS and an ontological representation of the production system for data integration. The framework leverages a simulation-based scheduler, which exchanges data with the DT in a Service-oriented Architecture (SoA) using SPARQL, a language for querying and updating graph databases. The approach is evaluated through a proof of concept, demonstrating effective uncertainty management in a dynamic production environment.","url":"https://doi.org/10.1016/j.aei.2024.102677","authors":["Simon Kosse","Vincent Betker","Philipp Hagedorn","Markus König","Thorsten Schmidt"],"tags":["Computer science","Precast concrete","Industry 4.0","Scheduling (production processes)","Semantic Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-13","doi":"https://doi.org/10.1016/j.aei.2024.102677","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2169926950","name":"Modelling and rescuing neurodevelopmental defect of Down syndrome using induced pluripotent stem cells from monozygotic twins discordant for trisomy 21","source":"openalex","abstract":"Down syndrome (trisomy 21) is the most common viable chromosomal disorder with intellectual impairment and several other developmental abnormalities. Here, we report the generation and characterization of induced pluripotent stem cells (iPSCs) derived from monozygotic twins discordant for trisomy 21 in order to eliminate the effects of the variability of genomic background. The alterations observed by genetic analysis at the iPSC level and at first approximation in early development illustrate the developmental disease transcriptional signature of Down syndrome. Moreover, we observed an abnormal neural differentiation of Down syndrome iPSCs in vivo when formed teratoma in NOD-SCID mice, and in vitro when differentiated into neuroprogenitors and neurons. These defects were associated with changes in the architecture and density of neurons, astroglial and oligodendroglial cells together with misexpression of genes involved in neurogenesis, lineage specification and differentiation. Furthermore, we provide novel evidence that dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A (DYRK1A) on chromosome 21 likely contributes to these defects. Importantly, we found that targeting DYRK1A pharmacologically or by shRNA results in a considerable correction of these defects.","url":"https://doi.org/10.1002/emmm.201302848","authors":["Youssef Hibaoui","Iwona Grad","Audrey Letourneau","M. Reza Sailani","Sophie Dahoun","Federico Santoni","Stefania Gimelli","Michel Guipponi","Marie Françoise Pelte","Frédérique Béna","Stylianos E. Antonarakis","Anis Féki"],"tags":["Induced pluripotent stem cell","Biology","DYRK1A","Trisomy","Neurogenesis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2013-12-27","doi":"https://doi.org/10.1002/emmm.201302848","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4291743205","name":"Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate Cancer","source":"openalex","abstract":"Clinical decision support systems (CDSSs) enable users to make decisions based on clinical data from electronic medical records, facilitating personalized precision medicine treatments. A digital twin (DT) approach enables the interoperability between physical and virtual environments through data analysis using machine learning (ML). By combining DT with the prostate cancer (PCa) process, it is possible to predict cancer prognosis. In this study, we propose a DT-based prediction model for clinical decision-making in the PCa process. Pathology and biochemical recurrence (BCR) were predicted with ML using data from a clinical data warehouse and the PCa process. The DT model was developed using data from 404 patients. The BCR prediction accuracy increased according to the amount of data used, and reached as high as 96.25% when all data were used. The proposed DT-based predictive model can help provide a clinical decision support system for PCa. Further, it can be used to improve medical processes, promote health, and reduce medical costs and problems.","url":"https://doi.org/10.3390/app12168156","authors":["Jae Kwon Kim","Sunjung Lee","Sung‐Hoo Hong","In-Young Choi"],"tags":["Prostate cancer","Computer science","Machine learning","Clinical decision support system","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-15","doi":"https://doi.org/10.3390/app12168156","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4380628716","name":"RETRACTED ARTICLE: Artificial intelligence-based solutions for climate change: a review","source":"openalex","abstract":"Abstract Climate change is a major threat already causing system damage to urban and natural systems, and inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because artificial intelligence integrates internet resources to make prompt suggestions based on accurate climate change predictions. Here we review recent research and applications of artificial intelligence in mitigating the adverse effects of climate change, with a focus on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and resilient cities. We found that enhancing energy efficiency can significantly contribute to reducing the impact of climate change. Smart manufacturing can reduce energy consumption, waste, and carbon emissions by 30–50% and, in particular, can reduce energy consumption in buildings by 30–50%. About 70% of the global natural gas industry utilizes artificial intelligence technologies to enhance the accuracy and reliability of weather forecasts. Combining smart grids with artificial intelligence can optimize the efficiency of power systems, thereby reducing electricity bills by 10–20%. Intelligent transportation systems can reduce carbon dioxide emissions by approximately 60%. Moreover, the management of natural resources and the design of resilient cities through the application of artificial intelligence can further promote sustainability.","url":"https://doi.org/10.1007/s10311-023-01617-y","authors":["Lin Chen","Zhonghao Chen","Yubing Zhang","Yunfei Liu","Ahmed I. Osman","Mohamed Farghali","Jianmin Hua","Ahmed S. Al‐Fatesh","Ikko Ihara","David W. Rooney","Pow‐Seng Yap"],"tags":["Climate change","Renewable energy","Environmental economics","Climate change mitigation","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-13","doi":"https://doi.org/10.1007/s10311-023-01617-y","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4392666755","name":"Achieving SDGs Using AI Techniques and Digital Twins for Nuclear Power Plants: A Review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-53433-1_5","authors":["Kousik Barik","Sanjay Misra","Harald Thunem"],"tags":["Nuclear power","Digitization","Computer science","Prosperity","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-53433-1_5","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4214716444","name":"Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach","source":"openalex","abstract":"Digital twin (DT) is a technology that promises great benefits for the manufacturing industry. Nevertheless, DT implementation presents many challenges. This article looks to understand and study the problems associated with the implementation of DT models in a manufacturing domain. It applies systems thinking techniques to analyze and refine these problems. Systems thinking presents several methods and tools that help in studying a problem space and a solution space. The conceptagon framework describes the DT model as a system with several attributes and analyzes it in detail. A systemigram shows the relationship of manufacturing systems and the DT model. It maps the processes and components for DT implementation. The TRIZ method analyzes, and forecasts problems related to DT development and provides solutions based on patterns of invention. The CATWOE analysis allows identification of stakeholders and the study of the DT model from their perspectives. It provides a root definition of the DT model to refine a problem and the problem’s contradiction. The 9 windows tool helps to delimit the DT implementation problem, based on time and space. It gives eight more perspectives to solve the DT problem. Finally, the ideal final result (IFR) method provides the ideal DT model concept for manufacturing systems.","url":"https://doi.org/10.3390/systems10020022","authors":["Jonatan H. Loaiza","Robert Cloutier"],"tags":["TRIZ","Ideal (ethics)","Computer science","Identification (biology)","Contradiction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-22","doi":"https://doi.org/10.3390/systems10020022","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4413851055","name":"A review of digital twin-enabled intelligent manufacturing with a focus on the wooden furniture industry","source":"openalex","abstract":"Digital twin, which integrate multi-physical, multi-scale, and multi-disciplinary attributes through real-time synchronization, virtual-reality interaction, and high-fidelity modeling, enable the seamless integration of physical entities with their digital counterparts and have garnered significant attention in both academia and industry, particularly in intelligent manufacturing. This paper presents a systematic literature review of the latest developments in digital twin technology for intelligent manufacturing, focusing on its application in the wooden furniture industry. The review summarizes existing studies, methodologies, and frameworks that have been proposed to address key challenges in the industry. The proposed framework encompasses four key application domains: product design and development, production process optimization and flexible manufacturing, and equipment fault diagnosis and health management. Based on the analysis of existing literature, this review highlights that digital twin technology offers significant opportunities for enhancing efficiency, reducing operational risks, and driving the digital transformation of the wooden furniture industry.","url":"https://doi.org/10.1080/17480272.2025.2551742","authors":["Chunhong Hu","Jian‐Gang Zhu"],"tags":["Focus (optics)","Manufacturing engineering","Engineering","Furniture industry","Forensic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-30","doi":"https://doi.org/10.1080/17480272.2025.2551742","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4317951842","name":"State of the art in structural health monitoring of offshore and marine structures","source":"openalex","abstract":"This paper deals with state of the art in structural health monitoring (SHM) methods in offshore and marine structures. Most SHM methods have been developed for onshore infrastructures. Few studies are available to implement SHM technologies in offshore and marine structures. This paper aims to fill this gap and highlight the challenges in implementing SHM methods in offshore and marine structures. The present work categorises the available techniques for establishing SHM models in oil rigs, offshore wind turbine structures, subsea systems, vessels, pipelines and so on. Additionally, the capabilities of proposed ideas in recent publications are classified into three main categories: model-based methods, vibration-based methods and digital twin methods. Recently developed novel signal processing and machine learning algorithms are reviewed and their abilities are discussed. Developed methods in vision-based and population-based approaches are also presented and discussed. The aim of this paper is to provide guidelines for selecting and establishing SHM in offshore and marine structures.","url":"https://doi.org/10.1680/jmaen.2022.027","authors":["Hadi Pezeshki","Hojjat Adeli","Dimitrios G. Pavlou","Sudath C. Siriwardane"],"tags":["Subsea","Structural health monitoring","Submarine pipeline","Offshore wind power","Marine engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-25","doi":"https://doi.org/10.1680/jmaen.2022.027","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4378942191","name":"Semantic-aware Digital Twin for Metaverse: A Comprehensive Review","source":"openalex","abstract":"To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information extraction with inherent intelligence. However, this framework requires all devices in the Metaverse environment to be directly linked with the semantic model to enable faithful interpretation of messages. In contrast, this article introduces the digital twin framework, considering a smart industrial application, which enables semantic communication in conjugation with the Metaverse enabling technologies. The fundamentals of this framework are demonstrated on an industrial shopfloor management use case with a digital twin so as to improve its performance through semantic communication. An overview of semantic communication, Metaverse, and digital twins is presented. Integration of these technologies with the basic architecture as well as the impact on future industrial applications is presented. In a nutshell, this article showcases how semantic awareness can be an effective candidate in the implementation of digital twins for Metaverse applications.","url":"https://doi.org/10.48550/arxiv.2305.18304","authors":["Senthil Kumar Jagatheesaperumal","Zhaohui Yang","Qianqian Yang","Chongwen Huang","Wei Xu","Mohammad Shikh‐Bahaei","Zhaoyang Zhang","Jagatheesaperumal, Senthil Kumar","Yang, Zhaohui","Yang, Qianqian","Huang, Chongwen","Xu, Wei"],"tags":["Computer science","Metaverse","Human–computer interaction","Data science","World Wide Web","Computers and Society (cs.CY)","Computation and Language (cs.CL)","Information Retrieval (cs.IR)","Multimedia (cs.MM)","FOS: Computer and information sciences"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023","doi":"https://doi.org/10.48550/arxiv.2305.18304","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"oa:W7126247625","name":"Advancing bridge health assessment and management through Digital Twins: a comprehensive review","source":"openalex","abstract":"In recent centuries, millions of bridges have been constructed as vital infrastructure components. However, a significant proportion are operating beyond their intended service life, increasing their vulnerability to deterioration and natural hazards. Conventional inspection and maintenance practices, primarily based on manual observations and non-destructive testing, are often inefficient and incapable of providing continuous, real-time insights into structural performance. To address these challenges, Digital Twin technology has emerged as a transformative solution, enabling the creation of dynamic, data-driven virtual replicas of physical assets that facilitate intelligent, adaptive and predictive maintenance, real-time monitoring and infrastructure assessment. This study presents a comprehensive review of the application of Bridge Digital Twins for structural health assessment, consolidating the latest advancements in their conceptual frameworks, enabling technologies, sensory systems and real-world implementations. The paper presents a structured framework that maps the technological, analytical and operational layers of Bridge Digital Twins, identifying key performance indicators associated with resilience and adaptability. The review systematically examines the essential components of Bridge Digital Twins, maturity levels, classification schemes and model updating techniques, and critically discusses their limitations and practical challenges in real bridge applications. Critical challenges hinder large-scale adoption, data interoperability, standardisation, model validation and computational efficiency. Research gaps and future research directions are identified to guide the widespread adoption of Digital Twins in bridge infrastructure.","url":"https://doi.org/10.1177/14759217251403381","authors":["M Mahammad Yousuf","T Jothi Saravanan","Suresh R. Dash"],"tags":["Bridge (graph theory)","Vulnerability (computing)","Resilience (materials science)","Engineering","Vulnerability assessment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-30","doi":"https://doi.org/10.1177/14759217251403381","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2078047980","name":"Shearography technology and applications: a review","source":"openalex","abstract":"Shearography is a full-field speckle interferometric technique used to determine surface displacement derivatives. For an interferometric technique, shearography is particularly resilient to environmental disturbances and has hence become an invaluable measurement tool outside of the optics laboratory. Furthermore, the inclusion of additional measurement channels has turned shearography from a qualitative inspection tool into a system suitable for quantitative surface strain measurement. In this review article we present a comprehensive overview of the technique, describing the principle of operation, optical configurations, image processing algorithms and applications, with a focus on more recent technological advances.","url":"https://doi.org/10.1088/0957-0233/21/10/102001","authors":["Daniel Francis","Ralph P. Tatam","Roger M. Groves"],"tags":["Shearography","Speckle imaging","Computer science","Interferometry","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-08-25","doi":"https://doi.org/10.1088/0957-0233/21/10/102001","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4392543852","name":"Digital Twin-Assisted OWC: Toward Smart and Autonomous 6G Networks","source":"openalex","abstract":"With the advancements of high-resolution cameras, highly sensitive photodetectors, and energy-efficient light-emitting-diodes, optical wireless communication (OWC) has emerged as key-enabling technology for 6G. Similarly, digital twin (DT) technology has recently been proposed to meet the diverse requirements of emerging applications and provide efficient optimization of the overall system resources by enabling self-sustaining and proactive online learning. Within DT, various technology disciplines, including big data, artificial intelligence, intelligent computing, communication, and security-aware technologies, are integrated to create a virtual replica that reflects the physical system. Motivated by this, this paper discusses DT and its role in the reliable and ubiquitous implementation of OWC networks. We first provide an overview of this emerging research area by offering insights into the key enabling technologies and potential applications in the context of smart-autonomous OWC networks. Subsequently, we provide recent advancements and design aspects related to DT-assisted OWC systems. Finally, future research directions and the impact of different system factors on the overall network performance are discussed. To the best of the authors’ knowledge, this is the first in-depth review in the literature on the integration of DT with OWC networks.","url":"https://doi.org/10.1109/mnet.2024.3374370","authors":["Hossien B. Eldeeb","Shimaa Naser","Lina Bariah","Sami Muhaidat","Murat Uysal"],"tags":["Computer science","Computer network","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-07","doi":"https://doi.org/10.1109/mnet.2024.3374370","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W3008433124","name":"Towards a Digital Twin for Thermal Processes: Control-centric approach","source":"openalex","abstract":"Manufacturing processes modelling can be complicated, since processes are in their majority spatially distributed systems. The case of thermal processes such as laser processes is also in this category. Furthermore, specific issues that increase this complexity can be non-linearities (in particular phase change). Herein, under the framework of creating a control-centric digital twin for thermal (Laser-based) Processes being able to adapt through measurements and respond to what-if scenarios, switched dynamic systems are considered. Thus, the Processes are much easier to be controlled through optimal / adaptive / robust controllers. Various modelling issues are discussed and it is shown that dynamics depend highly on the operation phase. Furthermore, closed-loop systems efficiency is studied regarding time-related criteria pertaining to tracking. Finally, the possibility of automated decision making on controllers’ use is discussed.","url":"https://doi.org/10.1016/j.procir.2020.01.015","authors":["Alexios Papacharalampopoulos","Panagiotis Stavropoulos"],"tags":["Computer science","Control engineering","Thermal","Control (management)","Phase (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2020.01.015","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4399789735","name":"Examining the nexus of blockchain technology and digital twins: Bibliometric evidence and research trends","source":"openalex","abstract":"Abstract The integration of Blockchain Technology (BT) with Digital Twins (DTs) is becoming increasingly recognized as an effective strategy to enhance trust, interoperability, and data privacy in virtual spaces such as the metaverse. Although there is a significant body of research at the intersection of BT and DTs, a thorough review of the field has not yet been conducted. This study performs a systematic literature review on BT and DTs, using the CiteSpace analytic tool to evaluate the content and bibliometric information. The review covers 976 publications, identifying the significant effects of BT on DTs and the integration challenges. Key themes emerging from keyword analysis include augmented reality, smart cities, smart manufacturing, cybersecurity, lifecycle management, Ethereum, smart grids, additive manufacturing, blockchain technology, and digitalization. Based on this analysis, the study proposes a development framework for BT-enhanced DTs that includes supporting technologies and applications, main applications, advantages and functionalities, primary contexts of application, and overarching goals and principles. Additionally, an examination of bibliometric data reveals three developmental phases in cross-sectional research on BT and DTs: technology development, technology use, and technology deployment. These phases highlight the research field’s evolution and provide valuable direction for future studies on BT-enhanced DTs.","url":"https://doi.org/10.1007/s42524-024-0306-4","authors":["Xiaozhi Ma","Wenbo Du","Lingyue Li","Jing Liu","Hongping Yuan"],"tags":["Interoperability","Computer science","Nexus (standard)","Field (mathematics)","Blockchain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-18","doi":"https://doi.org/10.1007/s42524-024-0306-4","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4391166924","name":"Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems","source":"openalex","abstract":"This paper focuses on the feasibility of deep neural operator network (DeepONet) as a robust surrogate modeling method within the context of digital twin (DT) enabling technology for nuclear energy systems. Machine learning (ML)-based prediction algorithms that need extensive retraining for new reactor operational conditions may prohibit real-time inference for DT across varying scenarios. In this study, DeepONet is trained with possible operational conditions and that relaxes the requirement of continuous retraining - making it suitable for online and real-time prediction components for DT. Through benchmarking and evaluation, DeepONet exhibits remarkable prediction accuracy and speed, outperforming traditional ML methods, making it a suitable algorithm for real-time DT inference in solving a challenging particle transport problem. DeepONet also exhibits generalizability and computational efficiency as an efficient surrogate tool for DT component. However, the application of DeepONet reveals challenges related to optimal sensor placement and model evaluation, critical aspects of real-world DT implementation. Addressing these challenges will further enhance the method's practicality and reliability. Overall, this study marks an important step towards harnessing the power of DeepONet surrogate modeling for real-time inference capability within the context of DT enabling technology for nuclear systems.","url":"https://doi.org/10.1038/s41598-024-51984-x","authors":["Kazuma Kobayashi","Syed Bahauddin Alam"],"tags":["Computer science","Inference","Benchmarking","Artificial intelligence","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-24","doi":"https://doi.org/10.1038/s41598-024-51984-x","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2990461417","name":"Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis","source":"openalex","abstract":"Leading biological hypotheses propose that biological changes may underlie major depressive disorder onset and relapse/recurrence. Here, we investigate if there is prospective evidence for biomarkers derived from leading theories. We focus on neuroimaging, gastrointestinal factors, immunology, neurotrophic factors, neurotransmitters, hormones, and oxidative stress. Searches were performed in Pubmed, Embase and PsychInfo for articles published up to 06/2019. References and citations of included articles were screened to identify additional articles. Inclusion criteria were having an MDD diagnosis as outcome, a biomarker as predictor, and prospective design search terms were formulated accordingly. PRISMA guidelines were applied. Meta-analyses were performed using a random effect model when three or more comparable studies were identified, using a random effect model. Our search resulted in 67,464 articles, of which 75 prospective articles were identified on: Neuroimaging (N = 24), Gastrointestinal factors (N = 1), Immunology (N = 8), Neurotrophic (N = 2), Neurotransmitters (N = 1), Hormones (N = 39), Oxidative stress (N = 1). Meta-analyses on brain volumes and immunology markers were not significant. Only cortisol (N = 19, OR = 1.294, p = 0.024) showed a predictive effect on onset/relapse/recurrence of MDD, but not on time until MDD onset/relapse/recurrence. However, this effect disappeared when studies including participants with a baseline clinical diagnosis were removed from the analyses. Other studies were too heterogeneous to compare. Thus, there is a lack of evidence for leading biological theories for onset and maintenance of depression. Only cortisol was identified as potential predictor for MDD, but results are influenced by the disease state. High-quality (prospective) studies on MDD are needed to disentangle the etiology and maintenance of MDD.","url":"https://doi.org/10.1038/s41380-019-0585-z","authors":["Mitzy Kennis","Lotte Gerritsen","Marije van Dalen","Alishia D. Williams","Pim Cuijpers","Claudi Bockting"],"tags":["Meta-analysis","Major depressive disorder","Psychology","MEDLINE","Psychiatry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-19","doi":"https://doi.org/10.1038/s41380-019-0585-z","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400111294","name":"AI-Enabled Healthcare and Enhanced Computational Resource Management With Digital Twins Into Task Offloading Strategies","source":"openalex","abstract":"Efficient management of computational resources and data in the healthcare sector is increasingly challenging, particularly with the advent of advanced healthcare technologies. Effective task offloading mechanisms are crucial for enhancing system performance, patient care, and data security. This study aims to introduce and evaluate a novel framework for task offloading in healthcare environments. The framework seeks to address real-time healthcare demands through dynamic offloading strategies, incorporating digital twins (DT) and social health determinants to personalise and improve healthcare interventions. Employing both partial and binary offloading strategies, multi-protocol communications are supported by the framework, ensuring seamless data exchange. The integration of DT and social health determinants into offloading decisions stands at the core of the methodology, rigorously tested in real-time settings. Iterative testing confirms the framework’s effectiveness, demonstrating a 10% enhancement in energy efficiency and a 20% reduction in network latency with 20 MEC nodes. The inclusion of 30 MEC nodes further reduced latency by 33.4% and power usage by 53.8% for data sizes up to 100 MB, evidencing significant advancements in healthcare technology integration. A significant gap in existing literature is bridged, and a new trajectory for technological innovation in healthcare systems is set by the research. The study underscores the potential of sophisticated offloading techniques to revolutionise healthcare delivery, offering a holistic solution to the challenges of data and computational management in medical contexts.","url":"https://doi.org/10.1109/access.2024.3420741","authors":["Ahmed K. Jameil","Hamed Al‐Raweshidy"],"tags":["Computer science","Health care","Digital health","Big data","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3420741","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4408186454","name":"Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept","source":"openalex","abstract":"The rapid acceptance of solar photovoltaic (PV) energy across various countries has created a pressing need for more coordinated approaches to the sustainable monitoring and maintenance of these widely distributed installations. To address this challenge, several digitization architectures have been proposed, with one of the most recently applied being the digital twin (DT) system architecture. DTs have proven effective in predictive maintenance, rapid prototyping, efficient manufacturing, and reliable system monitoring. However, while the DT concept is well established in fields like wind energy conversion and monitoring, its scope of implementation in PV remains quite limited. Additionally, the recent increased adoption of autonomous platforms, particularly robotics, has expanded the scope of PV management and revealed gaps in real-time monitoring needs. DT platforms can be redesigned to ease such applications and enable integration into the broader energy network. This work provides a system-level overview of current trends, challenges, and future opportunities for DTs within renewable energy systems, focusing on PV systems. It also highlights how advances in artificial intelligence (AI), the internet-of-Things (IoT), and autonomous systems can be leveraged to create a digitally connected energy infrastructure that supports sustainable energy supply and maintenance.","url":"https://doi.org/10.3390/solar5010007","authors":["Olufemi I. Olayiwola","Ümit Cali","Miles Elsden","Poonam Yadav"],"tags":["Photovoltaic system","Engineering physics","Environmental science","Systems engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-06","doi":"https://doi.org/10.3390/solar5010007","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4394952741","name":"An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review","source":"openalex","abstract":"Support vector machines (SVMs) are well-known machine learning algorithms for classification and regression applications. In the healthcare domain, they have been used for a variety of tasks including diagnosis, prognosis, and prediction of disease outcomes. This review is an extensive survey on the current state-of-the-art of SVMs developed and applied in the medical field over the years. Many variants of SVM-based approaches have been developed to enhance their generalisation capabilities. We illustrate the most interesting SVM-based models that have been developed and applied in healthcare to improve performance metrics on benchmark datasets, including hybrid classification methods that combine, for instance, optimization algorithms with SVMs. We even report interesting results found in medical applications related to real-world data. Several issues around SVMs, such as selection of hyperparameters and learning from data of questionable quality, are discussed as well. The several variants developed and introduced over the years could be useful in designing new methods to improve performance in critical fields such as healthcare, where accuracy, specificity, and other metrics are crucial. Finally, current research trends and future directions are underlined.","url":"https://doi.org/10.3390/info15040235","authors":["Rosita Guido","Stefania Ferrisi","Danilo Lofaro","Domenico Conforti"],"tags":["Health care","Support vector machine","Data science","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-19","doi":"https://doi.org/10.3390/info15040235","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W2903737783","name":"Primary and secondary control in DC microgrids: a review","source":"openalex","abstract":"With the rapid development of power electronics technology, microgrid (MG) concept has been widely accepted in the field of electrical engineering. Due to the advantages of direct current (DC) distribution systems such as reduced losses and easy integration with energy storage resources, DC MGs have drawn increasing attentions nowadays. With the increase of distributed generation, a DC MG consisting of multiple sources is a hot research topic. The challenge in such a multi-source DC MG is to provide voltage support and good power sharing performance. As the control strategy plays an important role in ensuring MG’s power quality and efficiency, a comprehensive review of the state-of-art control approaches in DC MGs is necessary. This paper provides an overview of the primary and secondary control methods under the hierarchical control architecture for DC MGs. Specifically, inner loop and droop control approaches in primary control are reviewed. Centralized, distributed, and decentralized approach based secondary control is discussed in details. Key findings and future trends are also presented at last.","url":"https://doi.org/10.1007/s40565-018-0466-5","authors":["Fei Gao","Ren Ke Kang","Jun Cao","Tao Yang"],"tags":["Microgrid","Voltage droop","Distributed generation","Power electronics","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-12-19","doi":"https://doi.org/10.1007/s40565-018-0466-5","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4387036506","name":"Lean and interpretable digital twins for building energy monitoring – A case study with smart thermostatic radiator valves and gas absorption heat pumps","source":"openalex","abstract":"The transition to low carbon energy systems poses challenges in terms of energy efficiency. In building refurbishment projects, efficient technologies such as smart controls and heat pumps are increasingly being used as a substitute for conventional technologies with the aim of reducing carbon emissions and determining operational energy and cost savings, together with other benefits. Measured building performance, however, often reveals a significant gap between the predicted energy use (design stage) and actual energy use (operation stage). For this reason, lean and interpretable digital twins are needed for building energy monitoring aimed at persistence of savings and continuous performance improvement. In this research, interpretable regression models are built with data at multiple temporal resolutions (monthly, daily and hourly) and seamlessly integrated with the goal of verifying the performance improvements due to Smart Thermostatic Radiator Valves (TRVs) and Gas Absorption Heat Pumps (GAHPs) as well as giving insights on the performance of the building as a whole. Further, as part of modelling research, Time Of Week and Temperature (TOWT) approach is reformulated and benchmarked against its original implementation. The case study chosen is Hale Court sheltered housing, located in the city of Portsmouth (UK). This building has been used for the field-testing of innovative technologies such as TRVs and GAHPs within the EU Horizon 2020 project THERMOSS. The results obtained are used to illustrate possible extensions of the use of energy signature modelling, highlighting implications for energy management and innovative building technologies development.","url":"https://doi.org/10.1016/j.egyai.2023.100304","authors":["Massimiliano Manfren","P.A.B. James","Victoria Aragón","Lamberto Tronchin"],"tags":["Radiator (engine cooling)","Energy performance","Efficient energy use","Thermostat","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-26","doi":"https://doi.org/10.1016/j.egyai.2023.100304","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W7157040855","name":"Digital Twins for Thermal Comfort and Energy Efficiency in Buildings: A Systematic Review","source":"openalex","abstract":"This systematic review builds upon 51 published empirical studies out of 354 studies that were published between 2020 and 2025 to assess the effectiveness of building-scale digital twins (DTs) in providing thermal comfort and energy efficiency, and improving the indoor environment and system reliability. The results show that there is a rapidly developing field focused on five thematic clusters: system architecture, artificial intelligence and machine learning (AI/ML)-driven control, human-centric engagement, predictive maintenance, and blockchain-enabled cybersecurity. Existing DT frameworks not only achieve real-time building information modeling (BIM)–Internet of Things (IoT) integration with prediction errors under 10%, but reinforcement learning controllers are also able to achieve 25–40% heating, ventilation, and air conditioning (HVAC) energy savings, and human-centric interfaces increase thermal satisfaction from 0.64 up to 1.2 Likert points. Predictive maintenance models have diagnostic accuracies of 91–97%, and new blockchain applications enhance data integrity, but largely at the prototype level. The cross-cluster convergence signifies the transition towards adaptive, socio-technical systems with an equilibrium of efficiency, comfort, reliability, and trust. The major weaknesses identified in this paper were a lack of longitudinal validation, climatic bias and ethical governance. A framework of a modular six-layer architecture is proposed after the review of 51 studies, which facilitates scalable, interoperable, and ethically robust DT deployments.","url":"https://doi.org/10.3390/buildings16091715","authors":["Anwar Basunbul","Raneem Anwar","Rana El Shafei","Abrar Baamer","Samah Elkhateeb","Marwa Abouhassan"],"tags":["Thermal comfort","Computer science","Modular design","Efficient energy use","Reinforcement learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-27","doi":"https://doi.org/10.3390/buildings16091715","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4412909751","name":"A Review of the Identification Methods of Digital Twin Coal Rock Driven by Multimodal Model","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-95-0011-6_3","authors":["Xingyue Guo","Fan Zhang"],"tags":["Identification (biology)","Computer science","Biology","Botany"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-981-95-0011-6_3","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4403632201","name":"From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector","source":"openalex","abstract":"Although several food-related fields have yet to fully grasp the speed and breadth of the fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that Industry 5.0 (referring to the fifth industrial revolution) is already underway. Food Industry 4.0 has been characterized by the fusion of physical, digital, and biological advances in food science and technology, whereas future Food Industry 5.0 could be seen as a more holistic, multidisciplinary, and multidimensional approach. This review will focus on identifying potential enabling technologies of Industry 5.0 that could be harnessed to shape the future of food in the coming years. We will review the state-of-the-art studies on the use of innovative technologies in various food and agriculture applications over the last 5 years. In addition, opportunities and challenges will be highlighted, and future directions and conclusions will be drawn. Preliminary evidence suggests that Industry 5.0 is the outcome of an evolutionary process and not of a revolution, as is often claimed. Our results show that regenerative and/or conversational artificial intelligence, the Internet of Everything, miniaturized and nanosensors, 4D printing and beyond, cobots and advanced drones, edge computing, redactable blockchain, metaverse and immersive techniques, cyber-physical systems, digital twins, and sixth-generation wireless and beyond are likely to be among the main driving technologies of Food Industry 5.0. Although the framework, vision, and value of Industry 5.0 are becoming popular research topics in various academic and industrial fields, the agri-food sector has just started to embrace some aspects and dimensions of Industry 5.0.","url":"https://doi.org/10.1111/1541-4337.70040","authors":["Abdo Hassoun","Sandeep Jagtap","Hana Trollman","Guillermo Garcia‐Garcia","Linh Duong","Prateek Saxena","Yamine Bouzembrak","Horst Treiblmaier","Carlos Para‐López","Carmen Carmona‐Torres","Kapal Dev","David Mhlanga","Abderrahmane Aït‐Kaddour"],"tags":["Food industry","Food engineering","Industry 4.0","Industrial Revolution","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-22","doi":"https://doi.org/10.1111/1541-4337.70040","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4400885261","name":"Building Digital Twins to Overcome Digitalization Barriers for Automating Construction Site Management","source":"openalex","abstract":"Construction sites are highly unpredictable environments involving a wide variety of stakeholders with complex information exchanges, which lead to the well-known inefficiencies and unproductivity of the construction sector. The adoption of Building Digital Twins (BDT) in the construction site is a promising solution to this issue, by automating data acquisition and knowledge extraction processes and providing what-if scenario simulation capabilities. Furthermore, the current research sets the principles to define, replicate, and scale-up the architecture of a Building Digital Twin Platform (BDTP), conceived as a scalar ecosystem, which allows to seamlessly manage on-site construction processes, integrating cross-cutting domains for the construction site optimization (Progress monitoring, Quality control, Operational Health and Safety, Equipment control, and Production planning). The starting point of the research is a comprehensive diagnosis of on-site process inefficiencies and the barriers to its digitalization leading to the user requirements, which have been underpinned by questionnaires and interviews addressed within an open innovation user-centered approach around Living Labs. The research has been conceived following the Design Science Research (DSR) methodology and based on the Plan-Do-Check-Act (PDCA) analysis for the continuous improvement of the construction process. By means of the adoption of the standard Business Process Model and Notation (BPMN), based on the BDTP architecture, the research has resulted in BPMN workflows stemmed from the Digital Twin (DT) where the DT itself is an actor in a service-oriented data-exchange workflow. Moreover, the use of a BDTP can pave the way for the transition from user-driven construction management to hybrid management, coexisting with both human and digital actors and merging expert knowledge with artificial intelligence techniques.","url":"https://doi.org/10.3390/buildings14072238","authors":["Jorge Torres","Rosa San Mateos","Natalia Lasarte","Asier Mediavilla","Maialen Sagarna","Íñigo León"],"tags":["Workflow","Building information modeling","Systems engineering","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-20","doi":"https://doi.org/10.3390/buildings14072238","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4407262313","name":"IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State","source":"openalex","abstract":"ABSTRACT The fourth industrial revolution has driven the emergence of Digital Twins (DTs) and Industrial Internet of Things (IIoT) in manufacturing. However, the use of different definition has led to varied interpretations and inconsistent understanding of DTs. Thus, by exploring the gap between theoretical frameworks and practical implementations of IIoT‐based DTs in manufacturing, this paper aims to shed light on the DT phenomenon by considering the historical evolution and fundamental concepts of IIoT‐based DTs. Therefore, a systematic literature review was conducted to assess the ambiguity concerning DTs, particularly in distinguishing architectures and types. Therefore, this paper identifies IIoT‐based DTs in manufacturing by reviewing application‐oriented literature. As a result of a subsequent classification, this paper proposes a hierarchical classification based on communication dynamics (i.e., Uni‐directional and Bi‐directional) and information processing (i.e., use or non‐use of machine learning). Conclusively, this study proposes a comprehensive classification approach for IIoT‐based DTs and thus contributes to a more consistent understanding of the DT phenomenon. Moreover, this paper discusses key findings, as well as implications for research and practice. Finally potential avenues for future research are derived and the limitations of this study are discussed.","url":"https://doi.org/10.1002/asmb.2923","authors":["Thomas Bleistein","Moritz Paulus","Kiran Gani","Robert A. Becker","Dirk Werth"],"tags":["Ambiguity","Computer science","Implementation","Phenomenon","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1002/asmb.2923","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"oa:W4289334225","name":"Review and analysis of pipeline leak detection methods","source":"openalex","abstract":"A pipeline burst or rupture causing a leak may significantly impact the environment and the reputation of the company operating the pipeline. In recent years, oil and gas pipelines are expected to be equipped with leak detection systems for monitoring the operations and detecting the leaks. Although the leak detection methods used today may not prevent leaks from happening, they play a crucial role in limiting the impact of leak. There is a wide variety of leak detection methods developed and tested. This paper reviews these methods, analyze their advantages and limitations. It ends by highlighting the opportunities for future work to improve reliability and adaptability of leak detection methods in subsea region.","url":"https://doi.org/10.1016/j.jpse.2022.100074","authors":["Naga Venkata Saidileep Korlapati","Faisal Khan","Quddus Noor","Saadat Mirza","Sreeram Vaddiraju"],"tags":["Leak","Subsea","Leak detection","Pipeline transport","Limiting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-01","doi":"https://doi.org/10.1016/j.jpse.2022.100074","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.6823822","name":"Digital Twin Ecosystems for Circular Manufacturing: Bridging Real-Time Data Integration and Material Flow Optimization","source":"crossref","abstract":"The transition from linear production models to circular manufacturing systems remains hindered by fragmented data infrastructures and the absence of real-time material flow visibility. This paper advances a conceptual framework for digital twin ecosystems specifically designed to support circular resource management in industrial settings. Drawing upon theoretical insights from industrial ecology, cyber-physical systems engineering, and circular economy principles, the study proposes that interoperable digital twin architectures can resolve critical information asymmetries between production stages, waste streams, and reverse logistics networks. The methodology integrates a systematic synthesis of peer-reviewed literature from engineering, environmental science, and information systems domains, employing thematic analysis to identify recurring technical and organizational barriers to digital twin implementation. Findings indicate that while digital twin technologies have demonstrated operational efficiencies in energy monitoring and waste reduction, their application to circular manufacturing remains constrained by data standardization gaps, high computational demands, and insufficient integration of behavioral modeling for material recirculation. The paper further identifies that existing frameworks rarely account for the temporal dynamics of material degradation or the economic thresholds that determine secondary material viability. Consequently, a three-layer ecosystem model is proposed, encompassing physical sensing, virtual simulation, and governance feedback loops. The discussion emphasizes that successful deployment requires not only technical interoperability but also alignment with regulatory metrics and stakeholder incentives. Limitations include the conceptual nature of the proposed framework and the absence of empirical validation. Future research should prioritize longitudinal case studies in diverse manufacturing sectors. The paper concludes that digital twin ecosystems, when configured for circular objectives, offer a viable pathway toward real-time, data-driven resource governance.","url":"https://doi.org/10.2139/ssrn.6823822","authors":["Steve Albert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:37:11Z","doi":"10.2139/ssrn.6823822","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.7364251","name":"Cycle-adaptive digital twin for early-life lithium-ion battery temperature forecasting and anomaly detection","source":"crossref","abstract":"Battery digital twins (DTs) are now used to observe cell condition and anticipate later operation, yet many learning-based estimators require extensive historical records and are consequently weak at commissioning. The present work introduces an early-cycle hybrid scheme for parameter forecasting and abnormality screening. A genetic search selects informative temporal windows, and those windows drive an MLP configured for sequential inputs (TS-MLP). An OC-SVM diagnostic module is calibrated with nominal traces and perturbations generated through Gaussian-process regression (GPR). Tests on NASA records for cylindrical 18650 cells yielded RMSE = 0.34 °C together with R2 = 0.9875 for next-cycle surface temperature. The combined architecture therefore enables accurate DT diagnosis from a small initial dataset.","url":"https://doi.org/10.2139/ssrn.7364251","authors":["Dalin Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T13:52:13Z","doi":"10.2139/ssrn.7364251","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1007/s10845-025-02679-1","name":"A scientometric review of digital twin in 3G to 6G networks: industry applications and trends","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-025-02679-1","authors":["Munish Bhatia","Vinika Malik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-06T11:03:39Z","doi":"10.1007/s10845-025-02679-1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.7217184","name":"Blockchain-anchored Digital Twin Traceability for Prescriptive Maintenance: A Conceptual Framework and Proof-of-Concept","source":"crossref","abstract":"Prescriptive maintenance (PsM) recommends concrete interventions from asset condition and operational constraints, increasingly relying on digital twins (DTs). In multi-stakeholder industrial settings, however, twin states, prognostic models, prescriptions, and execution outcomes are rarely linked by a verifiable audit trail. This paper presents ChainTwin-PsM, a compact conceptual framework for blockchain-anchored digital twin traceability that supports auditable PsM decisions. We define a minimal set of Traceable Twin Events (TTEs) spanning twin instantiation, state commitment, model registration, prediction, prescription, and execution feedback, together with hybrid on-chain/off-chain anchoring principles. A lightweight proof-of-concept simulates a multi-asset fleet with limited maintenance capacity and conflicting operator-service-provider incentives. It demonstrates that blockchain-backed service-level commitments can lower system cost and risk relative to weakly enforced coordination. The work is intentionally scoped as a framework-plus-PoC contribution rather than a state-of-the-art prognostics study, and keeps a C-MAPSS-compatible health interface for a subsequent data-driven extension.","url":"https://doi.org/10.2139/ssrn.7217184","authors":["Siyuan Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-03T10:29:16Z","doi":"10.2139/ssrn.7217184","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00002-2","name":"Introduction to smart hospital","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00002-2","authors":["Joseph Bamidele Awotunde"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:58:03Z","doi":"10.1016/b978-0-443-34226-4.00002-2","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00031-5","name":"Quantum computing home digital twin: bridging theory and accessible practice","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00031-5","authors":["Ambarish G. Mohapatra","Anita Mohanty","Abhro Mukherjee","Bright Keswani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00031-5","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.3390/machines13111021","name":"Research Review on Workshop Scheduling for Intelligent Manufacturing: Digital Twin Modeling, Optimization Algorithm, and System Architecture","source":"crossref","abstract":"Digital twin, as a new generation of industrial intelligent technology, has become a key technology for achieving virtual-physical interaction and real-time optimization in intelligent manufacturing systems due to its capability for high-fidelity virtual mapping of physical systems. Production scheduling, as the core link in the operation of intelligent workshops, faces challenges such as frequent dynamic disturbances, rendering traditional static scheduling approaches inadequate to meet the real-time and flexibility requirements of backdrop operations. In this context, the significant potential of the deep integration of digital twin technology and workshop scheduling in enhancing scheduling real-time performance, agility, and robustness has increasingly been highlighted. This paper reviews the research progress in workshop digital twin scheduling technology over the past five years, focusing on the development paths and technical characteristics of typical workshop digital twin modeling techniques, intelligent scheduling algorithms, and system frameworks. Based on this, the paper proposes a conceptual framework for digital twin scheduling in complex manufacturing scenarios, providing theoretical references for developing highly real-time and robust intelligent manufacturing scheduling systems, and highlights future research directions and developmental trends.","url":"https://doi.org/10.3390/machines13111021","authors":["Adilanmu Sitahong","Yulong Chen","Yiping Yuan","Areziguli Wubuli","Junyan Ma","Peiyin Mo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T16:09:47Z","doi":"10.3390/machines13111021","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fbuil.2025.1523464","name":"Sustainable innovations in digital twin technology: a systematic review about energy efficiency and indoor environment quality in built environment","source":"crossref","abstract":"In the contemporary digital age, the built environment undergoes significant changes because of technological innovations that improve building management, optimize building efficiency, and enhance overall productivity. Digital Twin technology has emerged as an indispensable tool for enhancing indoor environmental quality and optimizing energy efficiency in existing buildings. This demonstrates its similarity to several SDGs, where digital twin technology is key to achieving many of them, especially those relevant to our research: 7. Affordable and clean energy; 3. Good health and wellbeing are the primary outcomes of our study; 9. Industry innovation and infrastructure are the focus of our methodology; and 11. Sustainable cities and communication, to which our research contributes. However, some challenges require further consideration. First, to assess the methods and tools used to monitor and represent environmental parameters. Second, to review previous studies on Digital Twin technology in the context of energy efficiency and indoor environmental quality. This study systematically examined 261 academic articles to address these challenges, identifying 17 relevant publications investigating Digital Twin for enhancing energy efficiency and indoor environmental quality in buildings. The research emphasizes Building Information Modeling, Internet of Things, and Big Data, which collectively improve the monitoring and management of physical assets through real-time data replication. Our research illustrates the need for a multidisciplinary framework to rigorously analyze Digital Twin applications, as a comprehensive understanding of the consequences of this technology requires the integration of different fields. The review emphasizes the confined application of sensors for monitoring the environment, the importance of residents subjective impressions, and the need for further comparative studies on energy use estimation methods. For future investigation, enhanced international collaboration is imperative to improve the scholarly exploration of Digital Twin related to this field. Finally, the built environment can benefit significantly from implementing Digital Twin technology. However, the challenges must be addressed before technology can achieve its full potential for creating sustainable and energy-efficient buildings.","url":"https://doi.org/10.3389/fbuil.2025.1523464","authors":["Natakarani Venkateswarlu","Mahenthiran Sathiyamoorthy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-13T07:05:45Z","doi":"10.3389/fbuil.2025.1523464","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.5194/egusphere-egu25-19807","name":"Investigating and Modeling the Making of the EU Digital Twin of the Ocean","source":"crossref","abstract":"The European Union&amp;#8217;s Digital Twin of the Ocean (EU DTO) represents a novel initiative to integrate advanced digital technologies with ocean governance, aiming to model and predict marine ecosystems to support policy decisions and sustainable management. As a complex socio-technical infrastructure, the development of the EU DTO involves coordination across a vast geographic area, integrating diverse technologies, standards, and stakeholders with varying resources and interests. This paper therefore analyzes the EU DTO as a Socio-Technical Network (STN) comprising three core components: the physical oceanic entity, the digital technical artifact, and the intricate socio-technical relationships binding them. It pursues the following research questions: (1) What are the primary social actors and technical components comprising the EU DTO infrastructure? and (2) What Social-Social, Technical-Technical, and Socio-Technical relations define this infrastructure?. Using a mixed methods approach involving interview data, stakeholder surveys, and desk research, it empirically maps out the multi-layered socio-technical relationships within the DTO&amp;#8217;s infrastructure. By modelling and analyzing the dynamic interplay between social actors and technical components, it identifies socio-technical barriers: firstly, technical barriers (e.g., lack of standardized data), secondly, social barriers (e.g., unequal resources), and thirdly, socio-technical barriers (e.g., unclear data transfer responsibilities). Combining this approach with a political ecology (PE) lens reveals the power dynamics and socio-environmental challenges of the EU DTO, including data accessibility disparities, and highlights how broader power relations, institutional interests, and political agendas shape its development and implementation.","url":"https://doi.org/10.5194/egusphere-egu25-19807","authors":["Carolin Hirt","Alice Vadrot"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T05:58:15Z","doi":"10.5194/egusphere-egu25-19807","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.2139/ssrn.4713566","name":"Study on Laser Ultrasonic Metal Surface Defect Detection Based on Digital Twin and Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4713566","authors":["Zhang Yunhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-01T14:20:36Z","doi":"10.2139/ssrn.4713566","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.4634142","name":"A Digital Twin Lifecycle Vision Integrating an Evolutive Collaboration with its Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4634142","authors":["Mohammed Adel HAMZAOUI","Nathalie JULIEN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-29T00:23:21Z","doi":"10.2139/ssrn.4634142","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.6183181","name":"TwinMind: An Explainable Digital Twin for Early Detection of Anxiety and Depression Using Passive Sensing","source":"crossref","abstract":"Rising levels of anxiety, academic pressure, and social withdrawal have made student mental health a global public health priority. This study introduces the Mental Health Digital Twin (MHDT), an end-to-end framework designed to predict and explain near-term psychological risk in college populations. MHDT integrates three data streams from the StudentLife dataset (N = 214 undergraduates) : (1) three-daily ecological momentary assessments measuring mood and PHQ-4 responses, (2) static demographic data (age, sex, major), and (3) continuous passive smartphone sensing, including GPS entropy, lock/unlock frequency, call/SMS volume, and step counts. Using seven-day rolling feature windows, we first applied unsupervised k-means clustering (k = 3) to categorize students into low-, moderate-, and high-risk strata, which served as pseudo-labels. A gradient-boosted decision tree (XGBoost) was then trained to predict risk strata at 1-, 3-, and 7-day intervals. Over the 10-week study period, MHDT achieved an average accuracy of 85.3 %, with AUCs of 0.958 (1-day), 0.930 (3-day), and 0.897 (7-day). To ensure interpretability, we used SHapley Additive exPlanations, revealing that 67 % of predictive importance was attributed to three behavioral signatures: sleep regularity, mobility entropy, and PHQ-4 trends. These findings enable clinicians to link forecasts to actionable precursors.","url":"https://doi.org/10.2139/ssrn.6183181","authors":["Yamini Chitikela"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T10:13:04Z","doi":"10.2139/ssrn.6183181","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003281184","name":"Digital Twin Technology in Condition Monitoring of Wind Turbines","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1007/s42452-024-06206-4","name":"Towards the application of machine learning in digital twin technology: a multi-scale review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42452-024-06206-4","authors":["Luigi Nele","Giulio Mattera","Emily W. Yap","Mario Vozza","Silvestro Vespoli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-19T16:12:48Z","doi":"10.1007/s42452-024-06206-4","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.5194/egusphere-egu25-17148","name":"4D Digital Twin geological modelling for sustainable quarry management","source":"crossref","abstract":"Exploitation of ornamental rock from quarries requires innovative approaches that can provide sustainable access to construction materials. Within a quarry, rock types can vary significantly, and its assessment demands a detailed evaluation of its lithological variations and fracture network. Adequate resource management is critical to minimize product waste, improve process efficiency and increase its worth along the value chain.Using Unmanned Aerial Vehicles (UAVs), operating at low level flights, equipped with high resolution RGB cameras, GPS and GNSS systems, in addition to real-time differential data (RTK) and GCP, image datasets were acquired to perform 4D reconstructions and interpret highly detailed morphologic and geologic features.We report the results of rock typing obtained from Digital Elevation Models, Orthophotos, Point Clouds and Mesh datasets, such as fracture network characterization and cavity delineation, that provide essential information about penalizing features, mandatory for informed decision-making during exploitation. These include: 1) manual and automated fracture delineation; 2) rock typing; 3) optimization of the exploitation plan, 4) volumetric estimation of land and karst cavities; and 5) stock management.We used segmentation techniques on point clouds to analyze structural discontinuities and identify faults and fractures at different scales, in the quarry extraction fronts. The applied algorithms enable the automatic extraction of geological planes and determine the geometric characteristics of the point cloud. The RGB color variation in the point clouds was also analyzed, enabling the delimitation of areas with different colors, which are generally associated with the degree of rock alteration. This analysis also allows the accurate detection of fracture networks. Results from image analysis allow individualising discrete types of rock and confidently extract fracture networks. The discrete features extracted from the models were subsequently validated with fieldwork at the quarries.Acknowledgements: The authors thank Research Project PRR - Sustainable Stone by Portugal integrated on the Mobilizing Agenda and Funda&amp;#231;&amp;#227;o para a Ci&amp;#234;ncia e a Tecnologia, I.P. (FCT), Portugal, through the research unit UIDB/04035/2020 - GeoBioTec.","url":"https://doi.org/10.5194/egusphere-egu25-17148","authors":["Jose Kullberg","Ricardo Pereira","Ana Machadinho","Alexandre Santos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T04:22:26Z","doi":"10.5194/egusphere-egu25-17148","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1109/swc57546.2023.10448804","name":"Digital Twin Enhanced Critical Infrastructure Life Cycle Security","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc57546.2023.10448804","authors":["Taru Itäpelto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-01T18:31:15Z","doi":"10.1109/swc57546.2023.10448804","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.3390/info16070586","name":"Digital-Twin-Based Ecosystem for Aviation Maintenance Training","source":"crossref","abstract":"The increasing complexity of aircraft systems and the growing global demand for certified maintenance personnel necessitate a fundamental shift in aviation training methodologies. This paper proposes a comprehensive digital-twin-based training ecosystem tailored for aviation maintenance education. The system integrates three core digital twin models: the learner digital twin, which continuously reflects individual trainee competence; the ideal competence twin, which encodes regulatory skill benchmarks; and the learning ecosystem twin, a stratified repository of instructional resources. These components are orchestrated through a real-time adaptive engine that performs multi-dimensional competence gap analysis and dynamically matches learners with appropriate training content based on gap severity, Bloom’s taxonomy level, and content fidelity. The system architecture uses a cloud–edge hybrid model to ensure scalable, secure, and latency-sensitive delivery of training assets, ranging from computer-based training modules to high-fidelity operational simulations. Simulation results confirm the system’s ability to personalize instruction, accelerate competence development, and support continuous regulatory readiness by enabling closed-loop, adaptive, and evidence-based training pathways in digitally enriched environments.","url":"https://doi.org/10.3390/info16070586","authors":["Igor Kabashkin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-08T04:18:11Z","doi":"10.3390/info16070586","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1007/978-3-031-26104-6","name":"The Digital Twin of Humans","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-15T22:01:47Z","doi":"10.1007/978-3-031-26104-6","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.3390/agronomy16111038","name":"Digital Twin- and AI-Enabled Intelligent Optimisation Design of Agricultural Machinery: A Review","source":"crossref","abstract":"The optimisation design of agricultural machinery is shifting from offline, experience-driven engineering towards adaptive, data-driven, and closed-loop intelligent optimisation. Conventional approaches based on computer-aided engineering (CAE), empirical testing, mathematical modelling, and static multi-objective optimisation have provided an important engineering foundation, but they remain limited under unstructured field conditions involving soil heterogeneity, crop variability, climatic disturbance, and nonlinear machinery–environment interactions. This review systematically examines the evolution of intelligent optimisation design for agricultural machinery from conventional simulation-based methods to artificial intelligence (AI)- and digital twin (DT)-enabled paradigms. First, mathematical modelling, response surface methodology, discrete element method (DEM), computational fluid dynamics (CFD), multi-body dynamics (MBD), heuristic algorithms, and early AI-assisted surrogate optimisation are reviewed to clarify their contributions and limitations. Second, frontier enabling technologies are analysed, including agriculture-specific large models, generative AI, lightweight edge intelligence, deep reinforcement learning (DRL), embodied AI, federated learning (FL), and privacy-preserving computing. Third, system-level applications integrating DT and AI are discussed, with emphasis on full-lifecycle machinery optimisation, device–edge–cloud collaborative control, multi-agent fleet coordination, predictive maintenance, and Agriculture 5.0-oriented intelligent equipment systems. Key deployment bottlenecks are further identified, including sim-to-real inconsistency, virtual–physical mismatch in DTs, edge-side trade-offs among accuracy, latency, energy consumption, and cost, insufficient validation standards, and economic adoption barriers. Finally, a 2025–2030 roadmap is proposed, highlighting large-model–DT closed loops, control biomimetics, green low-carbon optimisation, and trustworthy human–machine symbiosis for sustainable Agriculture 5.0.","url":"https://doi.org/10.3390/agronomy16111038","authors":["Pengsheng Ding","Jianmin Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-25T00:30:33Z","doi":"10.3390/agronomy16111038","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.4043/30909-ms","name":"Subsea Structure and Pipeline Design Automation Using Digital Field Twin","source":"crossref","abstract":"Abstract The main objective of this paper is to demonstrate a cost-effective, user-friendly and highly reliable subsea pipeline and subsea structure design automation method developed on a cloud-based digital field twin platform. The FEED and detail design phase of the subsea pipeline and subsea structures are normally quite long and need to run several analyses sequentially to achieve the desired results. In this cloud-based design automation method, a significant number of calculation hours are saved due to systematic and sequential approach with minimum remediation work by reducing human error. In this proposed design automation framework, all the standard pipeline and subsea structure design calculations including code checks based on design standards are performed through a web-based graphical user interface (GUI) designed in cloud-based digital field twin. In the design phase of the subsea pipeline, some more advanced level pipeline finite element analyses are performed for buckling and walking assessment. The design phase of the subsea pipeline consists of different analytical as well as finite element (FE) calculations which are performed systematically and sequentially in cloud-based digital field twin. Various pipeline engineering calculations are performed sequentially and systematically in the cloud using the metadata information available from the digital field data. Some of the standard engineering calculations implemented in the digital field twin are wall thickness calculation (based on design standards), on-bottom stability analysis, span analysis, pipe end expansion analysis, pipeline global buckling analysis etc. All the standard pipeline and subsea structure design calculations are developed in python, which is connected to the cloud-based digital twin through API. For advanced FE analyses for lateral buckling and pipeline walking, the preliminary susceptibilities are assessed through analytical calculations developed through python-based API. For the pipeline FE analysis for lateral buckling and walking assessment, pre-processor and post-processor are developed in python based on various metadata (pipe data, soil, environment) information available in the subsea digital field. The pipeline design calculation outputs are stored in a standardised report format in the cloud platform. The proposed GUI developed for the pipeline and structural design automation is user friendly and the whole process is automated through the python API. This design automation approach significantly reduces the total project cost. Digital Field Twin integrate all the subsea pipeline and structural design calculations and automate the report generation. The proposed digital field twin is very much beneficial for the early stages in the projects where some changes are expected. This subsea pipeline and structural design automation system built on the cloud-based digital field twin through API so that it works as an integrated system giving 3D digital field diagram to perform all the design calculations in one digital platform.","url":"https://doi.org/10.4043/30909-ms","authors":["Subrata Bhowmik","Harit Naik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-04-30T21:07:12Z","doi":"10.4043/30909-ms","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2307/j.ctv2xqngmf.11","name":"[Illustrations]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctv2xqngmf.11","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T10:17:39Z","doi":"10.2307/j.ctv2xqngmf.11","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1109/dyspan69846.2026.11571109","name":"Tiny-Twin: A CPU-Native Full-stack Digital Twin for NextG Cellular Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dyspan69846.2026.11571109","authors":["Ali Mamaghani","Ushasi Ghosh","Srinivas Shakkottai","Dinesh Bharadia","Ish Kumar Jain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T19:48:28Z","doi":"10.1109/dyspan69846.2026.11571109","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.21203/rs.3.rs-2619857/v3","name":"Twin Prime Conjecture Proof","source":"crossref","abstract":"Abstract The Twin Prime conjecture first proposed by French mathematician Alphonse de Polignac in the year 1846 remains unproven until now. This paper sets out to prove the Twin Prime conjecture by creating a system of equations and finding both a y element of ℕ, (y ϵ ℕ) and a y element of k, (y ϵ k) to find the twin prime values and then two further values where each will differ by an exact amount. From this proof the method demonstrates that the elements of these phenomena prove that there will be an infinite number of twin primes that differ by two. MSC: 11-xx","url":"https://doi.org/10.21203/rs.3.rs-2619857/v3","authors":["Daniel Thompson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T13:15:22Z","doi":"10.21203/rs.3.rs-2619857/v3","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003492146-13","name":"AI in Digital Twins for Rail Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-13","authors":["Francesco Flammini","Elena Napoletano","Stefano Ricci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-13","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1055/b-0046-222111","name":"10 Digital Twin Technology in Health Care","source":"crossref","abstract":"","url":"https://doi.org/10.1055/b-0046-222111","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-20T22:46:31Z","doi":"10.1055/b-0046-222111","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.65923/mwsqd067","name":"REACTWIN: A Digital Twin Framework for Fault Diagnosis and Resilience Monitoring in Nuclear Reactor Systems","source":"crossref","abstract":"Nuclear power plants supply approximately 20% of U.S. electricity and nearly 50% of domestic carbon-free generation, making reactor component health a matter of national energy security. Existing condition monitoring methods rely on scheduled offline inspections and SCADA-based threshold alarms that are temporally sparse, contextually blind, and fundamentally reactive. This paper proposes REACTWIN, a conceptual digital twin framework for real-time fault diagnosis and resilience monitoring of nuclear reactor component systems. The framework integrates physics-based multi-physics reactor models, IoT-enabled sensor data pipelines, and ensemble machine learning classifiers within a continuously synchronized virtual-physical environment. Five critical fault modes are formally characterized and mapped to corresponding sensor modalities and physics simulation modules. The proposed architecture is evaluated against existing approaches through a structured design principle analysis grounded in published nuclear engineering standards and prior digital twin literature. REACTWIN addresses a clear methodological gap in the reactor monitoring literature and establishes a deployable pathway aligned with U.S. Department of Energy Light Water Reactor Sustainability program objectives and NRC regulatory requirements.","url":"https://doi.org/10.65923/mwsqd067","authors":["Andy Sheemar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-25T13:42:46Z","doi":"10.65923/mwsqd067","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch004","name":"Digital Twins as Transformative Infrastructures in Higher Education","source":"crossref","abstract":"Digital twin technology is emerging as a transformative force in higher education, reshaping how institutions design learning environments, manage operations, and make data-informed decisions. Moving beyond traditional simulation tools, digital twins integrate real-time data, virtual modeling, and predictive analytics to create adaptive and interconnected educational ecosystems. This chapter examines their conceptual foundations, evolution, and theoretical grounding in constructivist, experiential, socio-technical, and systems perspectives. It analyzes applications such as smart campus management, virtual laboratories, personalized learning, learning analytics, and institutional planning. Drawing on case-based practices, it highlights how digital twins enable system-wide integration, anticipatory governance, and enhanced learner engagement. It also addresses key challenges related to data integration, institutional readiness, ethical governance, and equity, positioning digital twins as convergent infrastructures that redefine higher education as adaptive and data driven.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch004","authors":["Fahad A. Salendab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch004","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.58213/dg3wfy95","name":"Digital Twin Applications for Real-Time Monitoring of Urban Infrastructure","source":"crossref","abstract":"Digital Twin (DT) technology has emerged as a powerful tool for enhancing the monitoring, maintenance, and management of urban infrastructure. By creating a virtual replica of physical assets and synchronizing it with real-time data from IoT sensors, Digital Twins enable predictive decision-making, rapid fault detection, and optimized lifecycle performance. This study presents a comprehensive analysis of DT applications in the monitoring of critical urban systems such as bridges, pavements, water networks, buildings, and utilities. A DT framework integrating BIM/GIS models, IoT sensor networks, and cloud analytics is developed and evaluated. The results highlight significant improvements in early-warning capabilities, maintenance planning, and structural health assessment. The study also identifies key implementation challenges, including data interoperability, cyber security, high deployment costs, and the need for skilled personnel. Overall, Digital Twins offer transformative potential for smart cities by enabling proactive infrastructure management, reducing risks, and supporting sustainability. Future opportunities include AI-based DTs, large-scale urban integration, and digital twins for disaster resilience.","url":"https://doi.org/10.58213/dg3wfy95","authors":["Visudha Dattani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T11:16:33Z","doi":"10.58213/dg3wfy95","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1088/1361-6560/ae2b46/data1","name":"Appendix","source":"crossref","abstract":"","url":"https://doi.org/10.1088/1361-6560/ae2b46/data1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-06T08:35:07Z","doi":"10.1088/1361-6560/ae2b46/data1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.20944/preprints202309.1059.v1","name":"From Fragmented to Integrated: Transforming Emergency Healthcare Delivery through Digital Twin Technology","source":"crossref","abstract":"The prevalence of chronic diseases is dramatically increasing demand for emergency healthcare. Existing systems rely on patients self-identifying symptoms, causing dangerous delays. This study develops an AI and IoT-powered &amp;ldquo;digital twin&amp;rdquo; solution to enable continuous real-time monitoring and timely prediction of diverse medical emergencies. A digital twin is a virtual representation of an individual, modeled using multidimensional physiological data from wearable sensors. Machine learning techniques analyze patterns in this data to identify anomalies and predict emergencies like heart attacks or falls. A key contribution is an optimized ensemble algorithm combining gradient boosted trees, neural networks, and other techniques to accurately detect emergency events. Evaluation on a dataset of 9158 samples shows the digital twin identifies key emergencies with over 90% recall, enabling prevention and rapid response. It allows risk stratification and personalized interventions based on early warnings, circumventing over 2 million avoidable emergency room visits annually. This study demonstrates the feasibility of an integrated, predictive, patient-centric emergency response system enabled by digital twin technology.","url":"https://doi.org/10.20944/preprints202309.1059.v1","authors":["Swapnil Morande"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-18T07:44:26Z","doi":"10.20944/preprints202309.1059.v1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.11606/d.3.2024.tde-11112024-111039","name":"Desenvolvimento de uma solução didática para o ensino de conceitos e tecnologias de Digital Twin.","source":"crossref","abstract":"","url":"https://doi.org/10.11606/d.3.2024.tde-11112024-111039","authors":["Alex Silveira de Campos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-13T11:01:06Z","doi":"10.11606/d.3.2024.tde-11112024-111039","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1109/rusautocon52004.2021.9537546","name":"Digital Twin of Npps: Simulation Systems and Verification","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rusautocon52004.2021.9537546","authors":["Elena Jharko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-17T20:14:01Z","doi":"10.1109/rusautocon52004.2021.9537546","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.7271764","name":"Toward a Level-4 Digital Twin for Deep Excavation Projects: Conceptual Architecture and Prototype Implementation","source":"crossref","abstract":"Deep excavation projects combine severe subsurface uncertainty and strict contractual accountability; conditions that existing digital twin (DT) frameworks for underground construction address only partially and in a fragmented manner. This paper proposes a DT system architecture for deep excavation that targets Level-4 maturity, defined as partial autonomy, within an established DT maturity taxonomy. A prototype is demonstrated retrospectively using historical monitoring and simulation data from the Saint-Agne metro excavation (France): the monitoring pipeline, numerical back-analysis, and a Residual Learning Method predictive model benchmarked against Random Forest and LSTM for the final excavation stage are evaluated against measured inclinometer data. Computer-vision hazard-detection module is trained and integrated end-to-end with DT. The results show that the monitoring-to-prediction pipeline can reproduce the observed wall-deformation trend and that the decision-engine architecture accommodates alternative prediction methods without structural change. The contribution is therefore a system architecture and design rational for level-4 DT in deep excavation.","url":"https://doi.org/10.2139/ssrn.7271764","authors":["Mohsen Khosravi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T16:43:52Z","doi":"10.2139/ssrn.7271764","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.3390/w15010025","name":"A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)","source":"crossref","abstract":"The paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a ‘digital twin’ and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made available from an HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges were addressed as part of the Joint Governmental Digitalization Strategy 2016–2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terabytes of hydrological model data to the portal, with robust calibration methods and hybrid machine learning (ML) being key parts of the deliverables. This paper discusses the challenges and potentials of further developing the HIP digital twin with ‘plug-in digital twins’ for local river basins, including feedback to the national level.","url":"https://doi.org/10.3390/w15010025","authors":["Hans Henriksen","Raphael Schneider","Julian Koch","Maria Ondracek","Lars Troldborg","Ida Seidenfaden","Søren Kragh","Eva Bøgh","Simon Stisen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-22T02:06:14Z","doi":"10.3390/w15010025","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.59782/sidr.v6i1.213","name":"Advancements in Battery Management through Multi-Scale Digital Twin Technology: Principles and Applications","source":"crossref","abstract":"To achieve peak carbon and carbon neutral goals, the development of electric cars has become strategically important. It is necessary to have precise battery management technology because the lifespan and safety of power batteries change dynamically as they are used. This leads to rapid capacity degradation brought on by the inconsistent performance of single cells and thermal runaway brought on by short board batteries or internal defects. New battery management capabilities have been made possible by the development of the digital twin model, which is now one of the technical trends in the industry. Based on the development trend of battery management technology , the article concentrates on the analysis of basic principles of battery digital twin modeling from the aspects of system modeling to management and control requirements. The article systematically introduces the construction method of multi-dimensional, multi- scale and multi-physical field fusion of digital twin battery. Combined with the previous research of the team, the practical case of the digital twin battery was analyzed. Finally, the application perspective of digital twin battery is discussed in production design, life cycle management and other scenarios, which provided ideas and references for the development of battery management technology.","url":"https://doi.org/10.59782/sidr.v6i1.213","authors":["Yang Shichun","Li Qiangwei","Zhouz Sida","Z Zhengjie","Ma Yuan","Chen Fei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T00:45:44Z","doi":"10.59782/sidr.v6i1.213","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.51847/hxsioqastj","name":"When Does a Pharmaceutical Model Become a Digital Twin? An Umbrella Review across Pharmacology, Pharmaceutics, and Drug Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.51847/hxsioqastj","authors":["Thabo Nkosi","Lerato Molefe","Sipho Dlamini","Ayanda Mokoena","Kabelo Ndlovu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-15T13:00:46Z","doi":"10.51847/hxsioqastj","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.33599/nasampe/s.24.0136","name":"Real-Time Material Certification of Composites Using a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.33599/nasampe/s.24.0136","authors":["D. Shahan","T. Stewart","Y. Yabansu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-10T01:42:35Z","doi":"10.33599/nasampe/s.24.0136","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003732167-1","name":"Introduction to IIoT","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-1","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-1","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.70675/71ace4a6z571ez4448z9d6bzb544de4de3bf","name":"Calibration of complex system models for the construction of the digital twin of the autonomous vehicle","source":"crossref","abstract":"Calibration de modèles de systèmes complexes pour la construction du jumeau numérique du véhicule autonome La validation des véhicules autonomes et des aides à la conduite ne peut plus reposer exclusivement sur des essais réels, en raison de la diversité des cas d'usage, des systèmes impliqués et des niveaux de fiabilité requis. La simulation numérique émerge comme une solution prometteuse pour compléter ces tests. Toutefois, pour que la simulation soit utilisable dans un cadre de certification, il est crucial de démontrer sa fiabilité et d'établir une corrélation suffisante avec les résultats obtenus sur piste. Cette thèse se concentre sur les problèmes dits inverses : à partir d'observations réelles du système, il faut déduire les paramètres d'entrée qui ont généré ces observations. L'objectif est d'identifier les paramètres qui permettront aux simulations de reproduire au mieux les observations réelles lors des essais.Cette étape de calibration de modèle, ou inférence des paramètres, requiert généralement de nombreuses simulations, ce qui impose des coûts computationnels importants. Pour surmonter cette contrainte, cette thèse propose l'élaboration d'un modèle de substitution qui imite le comportement de la simulation originale tout en réduisant significativement les coûts computationnels. Ce modèle revient à résoudre ce que l'on appelle le problème direct, qui consiste à prédire les résultats de sortie pour des entrées spécifiques.L'objectif global de cette thèse est de développer diverses méthodologies statistiques pour adresser ces deux problèmes, direct et inverse. Il est particulièrement crucial de concevoir des approches qui s'ajustent automatiquement à chaque contexte, afin de faciliter la généralisation de ces méthodes à un large éventail de situations.","url":"https://doi.org/10.70675/71ace4a6z571ez4448z9d6bzb544de4de3bf","authors":["Clara Carlier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-08T20:53:01Z","doi":"10.70675/71ace4a6z571ez4448z9d6bzb544de4de3bf","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.18690/um.fov.4.2024.34","name":"Towards Techno-Psychological Immersion:  A Narrative Literature Review of Immersion and Its Related Concepts","source":"crossref","abstract":"Immersion is re-trending interdisciplinary topic in academic research due to new digital innovations, such as augmented reality smart glasses. Immersion is, however, still criticized as being a vague concept which should be clarified. For instance, immersion can be analyzed from both psychological and technological perspectives, yet many studies solely focus on one aspect while neglecting the other. Moreover, technological immersion and immersive technologies can be incorrectly used as synonyms. Thus, in this study, we conducted a narrative literature review of selected articles on immersion. As a result, we present our summary, which includes four sense stimulators (visual, auditory, haptic, and olfactory) of technological immersion and three dimensions (spatial, narrative, and strategic) of psychological immersion. Also, we suggest that immersive technologies should be separated from technological immersion. Lastly, we propose a new perspective to immersion: techno-psychological immersion, which combines technological and psychological viewpoints of immersion.","url":"https://doi.org/10.18690/um.fov.4.2024.34","authors":["Tiina Paananen","Tiina Kemppainen","Markus Makkonen","Matilda Holkkola","Olli Tyrväinen","Lauri Frank"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.34","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1145/3681797","name":"A Systematic Review of Digital Twin Technology for Home Care","source":"crossref","abstract":"The concept of digital twin has captured significant attention in recent years, and its potential application within the domain of home care has been explored in several studies. This review endeavors to provide a comprehensive overview of digital twin technology and its applications in the realm of home care, delineating the key attributes and challenges entailed in their implementation. A systematic search was conducted across five databases, namely ACM digital library, IEEE Xplore, PubMed, Scopus, and Web of Science. Findings from forty-five included articles were categorized employing a systematic approach, highlighting the technology's deployment in remote older adults’ care monitoring, health issue prediction and personalized treatment planning. Furthermore, this review identified the challenges of integrating digital twins into the home care sector. Despite recognition of its potential, there is a distinct lack in the literature of in-depth studies specifically exploring the implementation of digital twin technology in home care, highlighting the need for further research.","url":"https://doi.org/10.1145/3681797","authors":["Raja Omman Zafar","Yves Rybarczyk","Johan Borg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T08:13:30Z","doi":"10.1145/3681797","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1109/iccspci68199.2025.11451444","name":"Advancing Flow Meter Technology with a Comprehensive Review of Digital Twin Developments for Transmitters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccspci68199.2025.11451444","authors":["Jinsa Mathew","G. Joselin Retna Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T19:48:49Z","doi":"10.1109/iccspci68199.2025.11451444","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1016/j.aei.2021.101297","name":"A review of digital twin in product design and development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2021.101297","authors":["C.K. Lo","C.H. Chen","Ray Y. Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-22T14:31:23Z","doi":"10.1016/j.aei.2021.101297","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.33086/bfj.v8i1.3662","name":"Digital Twin Technology: A Scoping Review of Characterization and Implementation Through Business IT Perspectives","source":"crossref","abstract":"Digital twin is a revolutionizing technology. It involves sophisticated models such as real-time data, history data, simulation, machine learning, sensor updates which can reflect almost every detail of the physical objects, procedures, and services. Digital twin technology would be replicated the physical world into a virtual world in the future. Digital twin technology is considered state-of-the-art, but full implementation has yet to occur due to technical challenges and delays. The researchers have to create all the unique and specialized components of the thing or system and collect and combine a massive amount of diverse data. Since, many researchers and employees from some industries such as architecture, health care and engineering are still not completely understood about the technologies and tools used in digital twin technology. This paper illustrates scoping reviews of the characterization, implementation processes of digital twin in business information technology within 5 years period from 2018 to 2022. Furthermore, Digital Twin current applications in three different territories are also outlined in this paper. The purpose of the paper is to understand systematically about the digital twin technology process in different fields.","url":"https://doi.org/10.33086/bfj.v8i1.3662","authors":["Hein Ko Ko Htet","Indrianawati Usman","M. Yusak Anshori"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-01T07:10:59Z","doi":"10.33086/bfj.v8i1.3662","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1016/j.cities.2024.105484","name":"Digital Twin Technology for sustainable urban development: A review of its potential impact on SDG 11 in New Zealand","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cities.2024.105484","authors":["Urva Rajnikant Patel","Amirhosein Ghaffarianhoseini","Ali Ghaffarianhoseini","Andrew Burgess"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-13T07:40:01Z","doi":"10.1016/j.cities.2024.105484","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1145/3578527.3581747","name":"Digital Twin Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3578527.3581747","authors":["Souvik Barat","Aditya Paranjape"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-19T23:07:45Z","doi":"10.1145/3578527.3581747","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.47330/cbc.2021.etfa3892","name":"The Promise of Tokenization in Real Estate - Present and Future Opportunities","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2021.etfa3892","authors":["Alpesh Doshi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:53:32Z","doi":"10.47330/cbc.2021.etfa3892","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1007/978-3-658-44453-2","name":"Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-658-44453-2","authors":["Florian Blaschke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-10T09:01:46Z","doi":"10.1007/978-3-658-44453-2","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.5288285","name":"The Twin Transition: Driving Sustainability Through Digital Transformation in Manufacturing:","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5288285","authors":["Hossein Rahnama","Kerstin Johansen","Anna Öhrwall Rönnbäck"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-10T18:57:12Z","doi":"10.2139/ssrn.5288285","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.18254/s207751800012583-0","name":"Ethics of the Digital Twin of Society","source":"crossref","abstract":"","url":"https://doi.org/10.18254/s207751800012583-0","authors":["Oleg Gurov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-12-07T10:55:02Z","doi":"10.18254/s207751800012583-0","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003732167-9","name":"Amine Regeneration Unit","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-9","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-9","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.33313/387/264","name":"Digital Twin in Continuous Casting Machine – Ternium Use Case","source":"crossref","abstract":"ABSTRACT The efficiency of a plant's operation is related to the availability of its assets, it makes maintenance an important pillar in the industry. In recent decades, maintenance has gone through major developments; currently the monitoring of critical assets is of paramount importance in industries, leading them to opt for real-time monitoring systems in order to avoid unplanned outages. Within this context, in line with technological and IT advances, this paper presents the journey of the Ternium Brazil steel plant in the maintenance digitalization process, using artificial intelligence to identify and manage potential failures in critical assets. This paper also addresses the implementation of digital twin in a continuous casting of slabs.","url":"https://doi.org/10.33313/387/264","authors":["Leandro Passos","Rodrigo Pereira","Fábio Lourenço"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-30T13:58:25Z","doi":"10.33313/387/264","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2514/6.2024-0276","name":"Digital Twin Modeling Instructions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0276","authors":["Mason Hickman","Sebastian Vargas","Jacob Rome"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-29T21:40:31Z","doi":"10.2514/6.2024-0276","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.18488/76.v13i3.4984","name":"A hybrid digital twin–machine learning framework for short-term offshore wind turbine energy generation prediction","source":"crossref","abstract":"Accurate short-term forecasting of offshore wind turbine output is crucial for grid integration, operational planning, and real-time decision-making in renewable energy systems. Traditional data-driven models often struggle to generalize under changing offshore conditions, while purely physics-based models lack adaptability to environmental variations. To address these issues, this study proposes a hybrid Digital Twin–Machine Learning (DT–ML) approach for short-term offshore wind energy prediction, combining physics-based turbine modeling with data-driven learning techniques. The framework utilizes a digital twin of the wind turbine system alongside ensemble machine learning models, including Random Forest, Gradient Boosting, and Artificial Neural Networks, optimized through Bayesian hyperparameter tuning. Model interpretability is enhanced using SHapley Additive exPlanations (SHAP), which identify the most influential predictors affecting power output. The model was tested with actual offshore SCADA and meteorological data over a short-term forecasting horizon. Results show the model achieves better performance in terms of lower prediction errors, higher generalization across wind regimes compared to the baseline ML models. Especially, the proposed model achieves a 40% reduction in RMSE and improved R² coefficients, demonstrating its robustness and predictive accuracy. The SHAP analysis highlights wind speed, air density, and blade pitch angle as the most influential parameters, aligning with the aerodynamic principles of turbine operation. This methodology offers a scalable and interpretable solution for short-term offshore wind energy forecasting. It can be integrated into existing SCADA infrastructure, supporting operational decisions that enhance grid stability and promote smart energy management.","url":"https://doi.org/10.18488/76.v13i3.4984","authors":["Chaitanya P Kale","A B Pawar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T10:22:07Z","doi":"10.18488/76.v13i3.4984","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1007/s43621-026-03825-2","name":"A systematic literature review of digital twin applications for sustainable water systems in natural and built environment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s43621-026-03825-2","authors":["Mehwish Qureshi","Zhenan Feng","Vishal Kumar","Mohsen Besharat","Ruggiero Lovreglio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-17T15:13:12Z","doi":"10.1007/s43621-026-03825-2","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003492146","name":"Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146","authors":["Maksym Spiryagin","Stefano Bruni","Colin Cole"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1017/etr.2026.10009.pr12","name":"Author comment: Establishing the rationale for a Digital Twin Framework in the built environment — R2/PR12","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr12","authors":["Astrid Bagireanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr12","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.4912063","name":"Twin Transitions Across Enterprises: Do Digital Technologies and Sustainability Go Together?","source":"crossref","abstract":"Background&lt;br&gt;Twin transitions, involving digital and sustainable transformations of contemporary societies and economies, have emerged as top priorities in the European Union, and important policy objectives of governments across the globe. For the business community and the economy more broadly, understanding the factors which influence the adoption of digital technologies by firms and linkages of these with sustainable business practices is important to inform policies aimed at fostering these twin transitions. This research paper generates new knowledge on linkages between digitalisation and the adoption of ICT-related sustainability practices across firms, sectors and space. Using firm-level data from Ireland, it examines three research questions: &lt;br&gt;1. Which firms are more likely to adopt ICT-related sustainability measures?&lt;br&gt;2. Does digitalisation affect the propensity of firms to adopt ICT-related sustainability measures? &lt;br&gt;3. What other factors influence the adoption of ICT-related sustainability practices across firms? &lt;br&gt;In terms of the existing body of evidence on these themes, the research provided in this paper presents a first analysis of linkages between digitalisation and the adoption of ICT-related sustainability practices across firms, sectors and space. It examines the usage of a range of advanced digital technologies such as Artificial Intelligence (AI), Internet of Things (IoT) and digital tools such as cloud computing services and software for sharing information within firm by firms in Ireland, and how these in turn relate to the adoption of different ICT-related environmental sustainability measures. The models employed estimate the propensity of firms to adopt a range of ICT-related sustainability measures as a function of digitalisation and other firm capabilities as well as external factors that influence the usage of digital technologies and the adoption of environmental sustainability measures, including for example competition from other firms as proxied by market share and exporting, and skills levels in firms. &lt;br&gt;&lt;br&gt;Methods &lt;br&gt;The work is informed by a novel dataset which merges five micro-datasets for the first time. This includes the E-commerce and ICT Surveys for Irish-based enterprises conducted by Ireland’s Central Statistics Office for 2021 and 2022. These data were then merged with information on the same firms from the Census of Industrial Production, the Annual Services Inquiry, and the Business Register. Upon merging all data, and data cleaning, the final sample consists of 846 firms.&lt;br&gt;We examine the propensity of firms to adopt the following five ICT-related sustainability measures in 2022, whether the:&lt;br&gt;1. Firm considered the environmental impact of ICT services or ICT equipment &lt;br&gt;2. Firm employed measures to reduce the amount of paper used for printing and copying&lt;br&gt;3. Firm employed measures to reduce the energy consumption of ICT equipment&lt;br&gt;4. Firm disposed of ICT equipment in electronic waste collection or recycling&lt;br&gt;5. Firm reported keeping ICT equipment within the firm.&lt;br&gt;These dependent variables are modelled in separate probit regression models as a function of the usage of a range of digital technologies adopted as recorded in 2021, including, whether the firm reported: &lt;br&gt;1. Being a digital technology user: which is a dummy variable assigned a value of one whether the firm reported using at least one digital technology (Artificial Intelligence, Internet of Things) or a digital tool (cloud computing services, software for sharing information electronically with the firm); 0 otherwise &lt;br&gt;2. An AI user: firm reported use of AI&lt;br&gt;3. A IoT user: firm reported use of IoT &lt;br&gt;4. A Cloud computing user: firm reported use of cloud computing services &lt;br&gt;5. A User of software for sharing information electronically within firm: firm reported u","url":"https://doi.org/10.2139/ssrn.4912063","authors":["Iulia Siedschlag","Gretta Mohan","Weijie Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T09:49:32Z","doi":"10.2139/ssrn.4912063","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1021/acsomega.6c00051.s001","name":"Development of a Digital Twin for Anionic PolymerizationThe Importance of Reliable Substance Data","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsomega.6c00051.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-22T18:00:26Z","doi":"10.1021/acsomega.6c00051.s001","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1007/978-981-95-8236-5","name":"Digital Twin-Driven Manufacturing System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8236-5","authors":["Shimin Liu","Pai Zheng","Jinsong Bao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-12T22:09:17Z","doi":"10.1007/978-981-95-8236-5","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.33313/389/139","name":"Digital Twin of a High-Speed Billet Caster","source":"crossref","abstract":"ABSTRACT The adoption of digital twin technology in the continuous casting process is a new strategy for process parameter improvement and minimization of operational uncertainties. In this work, we developed a digital twin framework for continuous casting that combines process modeling and predictive analytics. A finite difference method (FDM) model was established to simulate the metallurgical length of billets at high casting speeds. Results indicate that shell thickness and surface temperature predicted by the FDM model have close agreement with plant measurements. Multiple linear regression was used to accelerate prediction of metallurgical length and solidification time of billets during steady-state operations.","url":"https://doi.org/10.33313/389/139","authors":["Zhikai Liu","Bryan Webler","P. Chris Pistorius"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/139","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.33369/pelastek.v4i2.41672","name":"Implementasi Digital Twin dalam Manajemen Peralatan Laboratorium dengan Studi Kasus pada Laboratorium Teknik Industri","source":"crossref","abstract":"Penelitian ini mengkaji implementasi teknologi Digital Twin dalam manajemen peralatan laboratorium, dengan fokus pada studi kasus di laboratorium Teknik Industri. Melalui tinjauan literatur sistematis, penelitian ini mengeksplorasi konsep dasar Digital Twin, aplikasinya dalam manajemen laboratorium, serta manfaat dan tantangan implementasinya. Hasil menunjukkan bahwa Digital Twin dapat meningkatkan efisiensi operasional, memperbaiki pemantauan peralatan, dan meningkatkan pengalaman pembelajaran di laboratorium Teknik Industri. Namun, implementasinya juga menghadapi tantangan seperti kompleksitas integrasi sistem dan kebutuhan akan keahlian teknis. Penelitian ini memberikan wawasan berharga bagi institusi pendidikan yang mempertimbangkan adopsi teknologi Digital Twin dalam manajemen laboratorium mereka.","url":"https://doi.org/10.33369/pelastek.v4i2.41672","authors":["Arabiatul Adawiyah","Arif Rahman","Siska Almaniar","Triayu Rahmadiah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-25T05:20:06Z","doi":"10.33369/pelastek.v4i2.41672","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1007/978-3-030-02203-7_15","name":"Twin-Control Evaluation in Industrial Environment: Aerospace Use Case","source":"crossref","abstract":"Abstract More and more ICT applications appear in both market and research world, but few of them are applied under industrial conditions. One of the highlights of Twin-Control project is the validation of the different features in industrial environments. To do that, two validation scenarios, with very different requirements were defined. In this chapter, the evaluation of Twin-Control in an aerospace use case is presented. The evaluation consists in the presentation of the different implementations and the obtained results, as well as the impact caused by them in the end-users. This document shows the benefits of the application of Twin-Control in such a demanding sector like aerospace.","url":"https://doi.org/10.1007/978-3-030-02203-7_15","authors":["Mikel Armendia","Mani Ghassempouri","Guillermo Gil","Carlos Mozas","Jose A. Sanchez","Frédéric Cugnon","Luke Berglind","Flavien Peysson","Tobias Fuertjes"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_15","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1109/access.2023.3312129","name":"Review and Assessment of Digital Twin–Oriented Social Network Simulators","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2023.3312129","authors":["Jiaqi Wen","Bogdan Gabrys","Katarzyna Musial"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-05T17:53:59Z","doi":"10.1109/access.2023.3312129","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.3390/buildings12020113","name":"Drivers for Digital Twin Adoption in the Construction Industry: A Systematic Literature Review","source":"crossref","abstract":"Digital twin (DT) is gaining increasing attention due to its ability to present digital replicas of existing assets, processes and systems. DT can integrate artificial intelligence, machine learning, and data analytics to create real-time simulation models. These models learn and update from multiple data sources to predict their physical counterparts’ current and future conditions. This has promoted its relevance in various industries, including the construction industry (CI). However, recognising the existence of a distinct set of factors driving its adoption has not been established. Therefore, this study aims to identify the drivers and integrate them into a classification framework to enhance its understanding. Utilising popular databases, including Scopus, Web of Science, and ScienceDirect, a systematic literature review of 58 relevant DT adoptions in the CI research was conducted. From the review, the drivers for DT adoption in the CI were identified and classified. The results show that developed countries such as the UK, US, Australia, and Italy have been the top countries in advancing DT adoption in the CI, while developing countries have made commendable contributions. A conceptual framework has been developed to enhance the successful adoption of DT in the CI based on 50 identified drivers. The major categories of the framework include concept-oriented drivers, production-driven drivers, operational success drivers, and preservation-driven drivers. The developed framework serves as a guide to propel DT adoption in the CI. Furthermore, this study contributes to the body of knowledge about DT adoption drivers, which is essential for DT promotion in the CI.","url":"https://doi.org/10.3390/buildings12020113","authors":["De-Graft Joe Opoku","Srinath Perera","Robert Osei-Kyei","Maria Rashidi","Tosin Famakinwa","Keivan Bamdad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-25T20:44:33Z","doi":"10.3390/buildings12020113","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.53106/199115992023023401016","name":"Research on The Interaction and Correction Strategy of Building Completion Information for Digital Twin","source":"crossref","abstract":"&lt;p&gt;BIM is the core of construction information technology in the current construction industry, and also the main information means in the whole construction cycle, however, BIM has many defects in practical application. The lack of building completion information in the BIM model and the current lag of building information are the main reasons for restricting the intellectualization and digitalization of the construction industry, Thus, the building construction stage is not smooth, and the later operation and maintenance are difficult. Therefore, by referring to the reverse engineering technology of manufacturing industry, this paper expands the building information into real-time and accurate building information by means of Digital twin technology, and reversely guides the construction, operation and maintenance of buildings. Finally, the effectiveness of the strategy discussed in this paper is proved by the actual case analysis.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;","url":"https://doi.org/10.53106/199115992023023401016","authors":["Nan-Ni Bi Nan-Ni Bi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-02T01:17:47Z","doi":"10.53106/199115992023023401016","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.6462429","name":"The CEO Who Wasn’t There: Consumer Trust in Digital Twin Streamers","source":"crossref","abstract":"With the rapid advancement of artificial intelligence and virtual human technologies, a growing number of firms have begun to deploy digital twin streamers in e-commerce live-streaming. These streamers are modeled on real individuals and use advanced technologies to closely replicate their appearance, voice, and communication style, creating highly realistic digital counterparts. This allows employees, even CEOs, to participate in live streaming without appearing on camera in person. While prior research has examined virtual streamers with clearly artificial identities, digital twin streamers remain underexplored. When a streamer closely replicates a real person, do consumers perceive it as an extension of that individual and grant it a comparable level of trust? Drawing on expectancy-disconfirmation theory and signaling theory, this research investigates how digital twin streamers differ from human streamers in shaping consumer responses, as well as the underlying mechanisms. Across four experiments, we find that even when digital twin streamers closely mimic the appearance and communication style of human streamers, they are trusted less. This is driven by differences in perceived effort. Lower perceived effort, in turn, reduces trust and negatively further affects brand attitudes and purchase intentions. Importantly, we identify an effective mitigation strategy, effort visualization. When the preparation process, technological input, or decision-making logic behind digital twin streamers is made visible, consumers infer greater effort and, consequently, exhibit higher levels of trust. This research contributes to the literature on live-streaming commerce and virtual humans, and offers actionable guidance for firms seeking to implement digital twin technologies in marketing communication.","url":"https://doi.org/10.2139/ssrn.6462429","authors":["Yun He","Minshuo Zhang","Zhengrui Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-24T07:46:18Z","doi":"10.2139/ssrn.6462429","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.2139/ssrn.4844466","name":"A Digital Twin-Based Traffic Light Management System Using Birch Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4844466","authors":["Haitham Adarbah","Mehdi Sookhak","Mohammed Atiquzzaman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-28T04:18:22Z","doi":"10.2139/ssrn.4844466","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.5194/egusphere-egu24-20258","name":"Digital twin development for an irrigation machine","source":"crossref","abstract":"Irrigated agriculture, the main user of water resources, is undergoing a change in its management and use. Therefore, tools such as artificial intelligence or digital twins applied to water management can improve it to maximize water use efficiency. Thus, the main objective of this work focuses on the development and implementation of a digital twin in a mobile irrigation system, specifically a universal irrigation machine. The digital twin, DT, is an accurate, real-time virtual representation of a real element (irrigation system), becoming an advanced decision support system for irrigation management, which can incorporate artificial intelligence tools for the implementation of intelligent precision irrigation. This technology allows, in real time, to simulate and analyze multiple operation scenarios before making decisions that affect the actual system. Thus, several interconnected components have been developed to form the DT of a real irrigation machine, located in southern Spain. It reproduces the machine operation in real time using information obtained from sensors (climatic information, soil moisture probes, pressure transducers and flowmeters) located in the study area and in the irrigation machine itself. The DT is made up of different components: i) the hydraulic model of the machine that provides the pressure and flow rate supplied by the emitters of the irrigation machine; ii) the irrigation programming module that manages the machine operation (at what time and for how long) during the irrigation campaign; &amp;#160;iii) The irrigation machine water distribution model that provides water distribution maps, which will allow adjusting the operation of the machine (for example, forward speed) aimed at that each spatial element of &amp;#8203;&amp;#8203;the irrigation plot (conditioned by the parameters soil, climate and stage of development of the irrigated crop) receives the required amount of water; and iv) the communication module with sensors. The DT of the irrigation machine provides the amount of water that each spatial unit of the plot receives in each irrigation event throughout the irrigation campaign for different operation conditions of the irrigation machine. This information can be the input of other DTs such as the crop development DT to create more complex DTs that reproduce the operation of an irrigated farm. Finally, the ability to monitor and simulate irrigation in real time by the DT provides farm managers with valuable data to make correct decisions, especially in periods of water scarcity, adjusting irrigation management to the spatial variability of the plot, taking into account the water availability to maximize crop production.","url":"https://doi.org/10.5194/egusphere-egu24-20258","authors":["Guillermo Salvador García Lovera","Rafael González","Emilio Camacho","Pilar Montesinos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T12:43:31Z","doi":"10.5194/egusphere-egu24-20258","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.70675/b5173d35z0a33z498bz9d14z26fb6145a518","name":"optimization of racing strategies using mechanical, and physiological digital twin models : applications in rowing and cycling","source":"crossref","abstract":"optimisation des stratégies de course à l’aide de modèles mécaniques et jumeaux numériques : applications à l’aviron et au cyclisme Cette thèse explore l'optimisation des stratégies de course (humaines) en intégrant des modèles mécaniques et physiologiques, et se concentre sur l'aviron et le cyclisme. Tout d’abord, une vue d'ensemble des sports de course souligne l'importance d'optimiser les performances en fonction de la puissance produite pendant la course. Les principes physiologiques de la production d'énergie lors d’efforts physiques sont présentés.Une étude expérimentale révèle comment les athlètes réagissent à différentes stratégies de pacing pour une distance fixe. Un modèle de production d'énergie musculaire est proposé, utilisant des analogies avec les flux de fluides pour évaluer l'efficacité des différentes voies énergétiques. Un modèle des échanges de lactate entre muscle et sang est développé (à partir de l’existant) pour mieux représenter la dynamique du lactate en phase de récupération.Pour l'aviron, un modèle de propulsion relie la puissance des rameurs à la vitesse du bateau, permettant de prédire les temps d'arrivée et d'optimiser les stratégies pour les épreuves olympiques. Pour le cyclisme, un modèle mécanique prédit la vitesse et les temps d'arrivée en fonction de la puissance. Des études de cas sur l'échappée en cyclisme sur route et la récupération en Madison en cyclisme sur piste sont également réalisées, ainsi qu'une optimisation des stratégies de poursuite par équipe.","url":"https://doi.org/10.70675/b5173d35z0a33z498bz9d14z26fb6145a518","authors":["Alice Boillet"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T00:15:19Z","doi":"10.70675/b5173d35z0a33z498bz9d14z26fb6145a518","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.898Z"},{"id":"doi:10.1201/9781003302827-6","name":"Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003302827-6","authors":["Quan Zhou","Ji Li","Cetengfei Zhang","Hongming Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-12T09:15:02Z","doi":"10.1201/9781003302827-6","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5947390","name":"A Digital Twin of Evaporative Thermo-Fluidic Process in Fixation Unit of DoD Inkjet Printers","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5947390","authors":["Samarth Toolhally"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-22T11:09:48Z","doi":"10.2139/ssrn.5947390","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/icaet63349.2025.10932289","name":"Comprehensive Review on Integrating Battery Management System with Digital Twin for Real-Time EV Battery State Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaet63349.2025.10932289","authors":["Kalika Patil","Mangal Patil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-27T02:18:17Z","doi":"10.1109/icaet63349.2025.10932289","addedAt":"2026-09-01T01:47:41.898Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1017/etr.2026.10009.pr1","name":"Author comment: Establishing the rationale for a Digital Twin Framework in the built environment — R0/PR1","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr1","authors":["Astrid Bagireanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr1","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/27525783.2025.2576265","name":"Novel mathematical models and hybrid algorithms for distributed assembly hybrid flow shop scheduling problem","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2576265","authors":["Zeshuai Jiang","Leilei Meng","Yaping Ren","Biao Zhang","Chaoyong Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-06T18:13:48Z","doi":"10.1080/27525783.2025.2576265","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.22215/etd/2025-16590","name":"Serious Play:  Model Making Exercises in Material, Process and Digital Twin Toward a Hybrid Model Methodology","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2025-16590","authors":["Samuel Lane-Smith"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-06T18:18:14Z","doi":"10.22215/etd/2025-16590","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.6644483","name":"Integrating Digital Twin and Artificial Intelligence for Enhancing Resilience in Distributed Manufacturing Systems","source":"crossref","abstract":"This paper presents an integrated, AI-driven predictive maintenance framework embedded within a digital twin to enhance resilience and reduce downtime in distributed manufacturing systems. The proposed architecture combines real-time IoT sensor data, physics-based simulation, and advanced analytics, including ensemble machine learning (XGBoost, Random Forest), deep learning (LSTM), reinforcement learning (RL), and autoencoder-based anomaly detection. The system enables both failure-time prediction and multi-class fault classification, while an RL agent dynamically optimises recovery actions. Results show that ensemble models outperform traditional approaches, with XGBoost achieving ~0.92 accuracy and Random Forest achieving ~0.90 accuracy. A hybrid LSTM–XGBoost model delivers consistent and accurate failure-time predictions by capturing both temporal degradation and nonlinear feature interactions. Although classification performance is strong, moderate class separability (AUC ≈ 0.75) indicates challenges in distinguishing overlapping fault types. At the operational level, the framework demonstrates significant impact: RL-based scheduling reduces recovery time by 15–18 %, while VR-enabled human–AI interaction improves operator response and trust. Together, these capabilities reduce downtime by 40–50 % and increase overall equipment effectiveness by double-digit margins. Despite these gains, limitations remain in model generalisation, computational complexity, and sensitivity to data quality. Future work will focus on improving classification robustness, enhancing scalability, and strengthening human–AI collaboration through explainable and adaptive systems. Overall, the study highlights the transformative potential of combining digital twins, machine learning, and immersive technologies for next-generation predictive maintenance","url":"https://doi.org/10.2139/ssrn.6644483","authors":["Liam O&apos;Connor"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-25T02:36:53Z","doi":"10.2139/ssrn.6644483","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.6791719","name":"Comparing Process Control Digital Twin Approaches: Wort Boiling Case","source":"crossref","abstract":"This study delivers the first systematic, quantitative comparison of physics-based, data-driven, and grey-box digital twin models under real-world industrial closed-loop control, providing an evidence-based guide for model selection. The choice of modeling approach is a critical dilemma: physicsbased models demand deep mechanistic understanding, while data-driven methods require extensive data, often unavailable in practice. To address the lack of rigorous comparisons, we evaluate three representative models: a physics-based model, a data-driven Long Short-Term Memory (LSTM) network, and a grey-box model based on system identification. All models are tested on an industrial steam flow control process. This unified framework for model construction, online updating, and evaluation ensures a fair comparison under identical operating conditions. Experimental results reveal clear trade-offs: while the physics-based model achieves the highest predictive accuracy, the grey-box model provides the best balance of performance and robustness with significantly lower engineering and data costs. This work provides an essential, practical reference that empowers engineers to select the optimal digital twin paradigm for their specific industrial control application. Note to Practitioners-This study addresses the practical challenge of selecting the most effective digital twin modeling paradigm for industrial closed-loop control. While digital twins are essential for modern process optimization, engineers often struggle to choose between physics-based, data-driven, and grey-box approaches due to a lack of rigorous, side-byside comparisons under real-world conditions. We evaluated three distinct paradigms-a first-principles physics model, an LSTM-based data-driven model, and a system-identification greybox model-using an industrial steam flow control process. Our results provide a direct evidence-based guide for model selection: 1) Physics-based models are superior for high-precision applications requiring accurate capture of transient behaviors (e.g., overshoot), though they require significant mechanistic expertise. 2) Data-driven models (LSTM) offer flexibility but exhibit limited generalization when operating conditions shift outside the training data range. 3) Grey-box models provide the most efficient balance, delivering robust performance and high generalization with substantially lower data and engineering costs. Practitioners can use these findings to align their digital twin strategy with available resources. For rapid deployment where high-fidelity transients are secondary to overall stability, grey-box models are recommended. Conversely, for systems where precise physical behavior is critical, the investment in physics-based modeling remains the optimal choice.","url":"https://doi.org/10.2139/ssrn.6791719","authors":["Yujie Zhang","Dutliff Boshoff","Yongchao Ye","Lishuai Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:32:50Z","doi":"10.2139/ssrn.6791719","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.6468001","name":"The Impact of Data Analytics and Digital Twin Technologies on Smart Factory Efficiency and Performance","source":"crossref","abstract":"This study examines the role of data analytics and digital twin technologies in enhancing smart factory performance, with a focus on operational efficiency, product quality, and organizational transformation. The research explores how the integration of these technologies enables manufacturers to optimize processes, anticipate disruptions, and make data-driven decisions in complex and dynamic production environments. A qualitative multiple-case study design was employed, involving semi-structured interviews with operations managers, IT specialists, and production engineers. Supplementary data from organizational documents and direct observations were used to provide contextual depth and triangulate findings. The analysis reveals that data analytics facilitates real-time monitoring, predictive maintenance, process optimization, and quality control, while digital twins enable virtual simulation, scenario testing, and holistic system visualization. The combined use of these technologies creates a continuous feedback loop that enhances decision-making, operational flexibility, and innovation. Additional benefits include fostering a data-driven organizational culture, improving collaboration, and supporting sustainability initiatives. Key challenges identified include high implementation costs, technical complexity, and skill gaps. The findings suggest that manufacturers can achieve superior performance and long-term competitiveness by strategically integrating these technologies, emphasizing leadership support, workforce development, and scalable implementation strategies to fully realize the potential of smart factory initiatives.","url":"https://doi.org/10.2139/ssrn.6468001","authors":["Isabelle Warwick"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:14:38Z","doi":"10.2139/ssrn.6468001","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.18845/rdmei.v23i1.6177","name":"Números primos gemelos y primos gemelos de Germain","source":"crossref","abstract":"La cardinalidad de los números primos de Germain, es decir, aquellos primos p tales que 2p + 1 también es primo, siempre ha sido un tema de gran interés, ya que tenemos la conjetura sobre la infinitud de esos números primos. Se presentan varios resultados interesantes, primero se revisa la relación entre la cardinalidad de los números primos y los primos de Germain. Más adelante, se presentan las cadenas de Cunningham y los números primos gemelos. Dentro de los primos gemelos, en este trabajo, se definen los primos gemelos de Germain. Se respalda numéricamente la conjetura de que la cardinalidad de los primos de Germain es aproximadamente la mitad de la cardinalidad de los primos gemelos. Al final, se calcula su cardinalidad por medio de una modificación a la estimación propuesta por Hardy y Littlewood.","url":"https://doi.org/10.18845/rdmei.v23i1.6177","authors":["Gerardo Miramontes de León","Diego Miramontes de León"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-21T20:16:02Z","doi":"10.18845/rdmei.v23i1.6177","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.37349/edht.2023.00003","name":"Harnessing the untapped potential of digital twin technology in digital public health interventions","source":"crossref","abstract":"Digital technologies have garnered more attention in this epoch of public health emergencies like coronavirus disease 2019 (COVID-19) and monkeypox (mpox). Digital twin (DT) is the virtual cybernetic equivalent of a physical object (e.g., a device, a human, a community) used to better understand the complexity of the latter and predict, prevent, monitor, and optimize real-world outcomes. The possible use cases of DT systems in public health ranging from mass vaccination planning to understanding disease transmission patterns have been discussed. Despite potential applications in healthcare, several economic, social, and ethical challenges might hinder the universal implementation of DT. Nevertheless, devising appropriate policies, reinforcing good governance, and launching multinational collaborative efforts ascertain early espousal of DT technology.","url":"https://doi.org/10.37349/edht.2023.00003","authors":["Salman Khan","Dilip Kumar Kandukuri","Elakeya Udhaya Subramaniyan","ArunSundar MohanaSundaram"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-07T07:28:27Z","doi":"10.37349/edht.2023.00003","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.14733/cadconfp.2025.24-28","name":"Additive Manufacturing of Composites: A Framework for Digital Twin-driven Lifecycle Management","source":"crossref","abstract":"","url":"https://doi.org/10.14733/cadconfp.2025.24-28","authors":["Xiao Wei","Jian Mao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T18:02:46Z","doi":"10.14733/cadconfp.2025.24-28","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1061/9780784486122.046","name":"Exploring Digital Twin Applications: A Comprehensive Review and Future Directions through Maturity Models in the AECO Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486122.046","authors":["Moaaz Elkabalawy","Shima Zeynolabedini","SangHyeok Han","Jong Won Ma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-11T11:00:42Z","doi":"10.1061/9780784486122.046","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1017/thg.2016.33","name":"Evolution of Stage 1 Twin-to-Twin Transfusion Syndrome (TTTS): Systematic Review and Meta-Analysis","source":"crossref","abstract":"Objectives: The natural history of stage 1 Twin-to-twin transfusion syndrome (TTTS) remains unclear and its optimal management is yet to be established. The main aims of this meta-analysis were to quantify the incidence of progression in stage 1 TTTS and to ascertain survival in these pregnancies. Methods: MEDLINE, EMBASE, and The Cochrane Library were searched. Reference lists within each article were hand-searched for additional reports. The outcomes included incidence of progression and survival in stage 1 TTTS. Randomized controlled trials, cohort and case-control studies were included. Case reports, studies including three or fewer cases of stage 1 TTTS, and editorials were excluded. Proportion meta-analysis was used for analysis (Registration number: CRD42016036190). Results: The search yielded 3,085 citations; 18 studies were included in the review (172 pregnancies to assess progression and 433 pregnancies to assess the survival). The pooled incidence of progression in stage 1 TTTS was 27% [95% CI 16–39%]. The pooled overall survival, double survival and at least one survival in the pregnancies managed expectantly were 79% [95% CI 62–92%], 70% [95% CI 54–84%] and 87% [95% CI 69–98%], respectively. In those undergoing amnioreduction, the corresponding figures were 77% [95% CI 68–85%], 67% [95% CI 57–76%] and 86% [95% CI 76–94%], respectively. The survival rates were 68% [95% CI 54–81%], 54% [95% CI 36–72%], and 81% [95% CI 69–90%], when laser surgery was performed. Conclusions: The optimal initial management of stage 1 TTTS remains in equipoise. The ongoing randomized trial comparing immediate laser surgery versus conservative management should provide a definitive answer.","url":"https://doi.org/10.1017/thg.2016.33","authors":["Asma Khalil","Emily Cooper","Rosemary Townsend","Basky Thilaganathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2016-05-03T10:46:49Z","doi":"10.1017/thg.2016.33","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-12-818918-4.00016-6","name":"Preface","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-818918-4.00016-6","authors":["Fei Tao","Ang Liu","Tianliang Hu","A.Y.C. Nee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-08T05:01:10Z","doi":"10.1016/b978-0-12-818918-4.00016-6","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.5194/egusphere-egu22-8072","name":"From the REA Concept to a High Resolution Digital Twin of the Earth's Water Cycle","source":"crossref","abstract":"&amp;lt;p&amp;gt;Eric F. Wood will be remembered as a visionary scientist and mentor to many hydrologists. As a master student, I had the good fortune to read one of his thought-provoking questions: &amp;lt;em&amp;gt;What modelling experiments need to be performed to resolve the scale question?&amp;lt;/em&amp;gt; [1]. Further reading of his scientific contributions led me to appreciate the usefulness of the representative elementary area concept (REA) [2] for developing meso- or macro-scale hydrological models that benefit from the subgrid variability of model paramterizations to derive hydrological fluxes at multiple scales. Eric's scientific writings intrigued us so much that they lead to the development of the multiscale parameter regionalization (MPR) [3] technique originally implemented in the mesoscale hydrological model [4] and now applicable to any land surface model to derive seamless parameter fields at continental or global scales [5].&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Eric was an early advocate of &amp;lt;em&amp;gt;hyperresolution global land surface modeling&amp;lt;/em&amp;gt; and continental drought monitoring and forecasting initiatives [6,7]. His support and motivation were key to devising a project to demonstrate, for the first time, the feasibility of a high-resolution seasonal forecasting and projection system for Europe using a multi-model approach that use the same hyperresolution physiographic datasets and a common river routing model to reduce the predictive uncertainty of the target variables. We called this project the &amp;lt;em&amp;gt;End to End Demonstrator for Improved Decision Making in Europe &amp;lt;/em&amp;gt;(EDgE) [8]. This proof-of-concept constitutes now a blueprint for several follow-up projects at national or global scales [e.g., 9].&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Eric F. Wood's scientific legacy will shape future developments in land surface modeling and his contributions will keep guiding generations of hydrologists. I was one of the fortunate ones who had the opportunity to know him as a mentor, project partner and friend. In this presentation, I will attempt to synthesize some of his key contributions that are the cornerstone for developing a Digital Twin [11] of the Earth's water cycle.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;References&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;[&amp;lt;/strong&amp;gt;1] Wood, E. (Ed.): Land Surface, atmosphere interactions for climate&amp;amp;#160;modelling: observations, models, and analysis, Kluwer, 1990.&amp;lt;br&amp;gt;[2] Wood, E. F. et al. https://doi.org/10.1016/0022-1694(88)90090-X&amp;amp;#160;1988.&amp;lt;br&amp;gt;[3] Samaniego, L. et al. https://doi.org/10.1029/2008WR007327, 2010b.&amp;lt;br&amp;gt;[4] mhm-ufz.org&amp;lt;br&amp;gt;[5] Schweppe, R et al. https://doi.org/10.5194/gmd-2021-103. 2021.&amp;lt;br&amp;gt;[6] Wood, E.F. et al. https://doi.org/10.1029/2010WR010090 2010.&amp;lt;br&amp;gt;[7] Sheffield, J., Wood, E. F. et al. https://doi.org/10.1175/BAMS-D-12-00124.1, 2014.&amp;lt;br&amp;gt;[8] Samaniego, L. et al. https://doi.org/10.1175/BAMS-D-17-0274.1 2019&amp;lt;br&amp;gt;[9] https://www.ufz.de/ulysses&amp;lt;br&amp;gt;[10] Bauer, P. et al. https://doi.org/10.1038/s41558-021-00986-y 2021&amp;lt;strong&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu22-8072","authors":["Luis Samaniego"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-27T23:29:46Z","doi":"10.5194/egusphere-egu22-8072","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.36227/techrxiv.177005396.66514352/v1","name":"Digital Twin of Dynamic Radio Frequency Spectrum with Generative Expanding Intelligence","source":"crossref","abstract":"Non-stationary wireless environments pose a persistent challenge for spectrum intelligence systems, as evolving propagation and traffic conditions cause trained models to drift and forget past knowledge. This paper introduces GenExTwin-a compact Digital RF Spectrum Twin that fuses generative replay, transformer-based representation learning, and continual adaptation. The framework integrates (i) a patch-based WirelessGPT encoder that extracts drift-robust spectral embeddings from STFT maps, (ii) a Dynamic Generative Adversarial Network that synthesizes class-and channel-conditioned spectrograms for memory-free replay, and (iii) an EWC-based continual learner that selectively consolidates encoder parameters across periods. Unlike traditional retraining, GenExTwin updates incrementally under new channel models while preserving prior performance. Evaluations on the RadioML 2018.01A and Channel domain shifts benchmarks demonstrate superior stability and lower forgetting compared with fine-tuning, EWC, and replay-based baselines, achieving up to 6-20% higher average accuracy under domain shift. This work establishes a practical foundation for intelligent, self-evolving spectrum twins capable of long-term RF awareness in dynamic conditions.","url":"https://doi.org/10.36227/techrxiv.177005396.66514352/v1","authors":["Aymen Daoud","Md. Zoheb Hassan","Georges Kaddoum"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-02T17:39:31Z","doi":"10.36227/techrxiv.177005396.66514352/v1","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.5154488","name":"A Novel Approach to Grinding Modelling and Scale-Up Towards a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5154488","authors":["Felipe  A. Contreras Bravo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-25T22:38:38Z","doi":"10.2139/ssrn.5154488","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1115/1.0004320v","name":"Multitier Digital Twin Approach for Agile Supply Chain Management","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0004320v","authors":["Eduard Shevtshenko","Kashif Mahmood","Tatjana Karaulova","Ibrahim Oluwole Raji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T19:20:47Z","doi":"10.1115/1.0004320v","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003732167-3","name":"Centrifugal Pump Operation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-3","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-3","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.5118946","name":"Validated Digital Twin of a Multi-Mode Solar-Assisted Heat Pump Water Heater","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5118946","authors":["Mike Collins","Julian Howarth"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-31T12:36:43Z","doi":"10.2139/ssrn.5118946","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.6665190","name":"Key Functional Elements for Digital Twin Implementation in Complex Operations Environments","source":"crossref","abstract":"Complex Operations Environments (COEs), found in domains such as manufacturing, logistics, and healthcare, are characterised by structural and behavioural complexity, interdependence, and unpredictability. Managing these environments requires a clear understanding of their characteristics, which is important for implementing emerging technologies such as Digital Twins (DTs). While DTs hold significant potential in COEs, their effective deployment depends on identifying and aligning with the specific traits of these environments. Drawing on a systematic literature review (SLR), this study refines a hierarchical conceptualisation of COEs, categorises their characteristics as functional and non-functional, and assesses their applicability to DT implementation. A conceptual mapping illustrates how DTs can address these characteristics to support COE management. The research is conducted in two phases. First, iterative practitioner engagement in an industrial manufacturing context is used to examine and refine the conceptualisation through empirical insights from experts holding cross-functional and strategic responsibilities across different business units. Second, DT experts assess these characteristics in terms of their applicability to DT implementation, classifying them as Possible, Hard, or Very Hard. The findings highlight both the potential and challenges of applying DTs in COEs. The resulting framework provides structured guidance for DT developers, system architects, and managers by supporting DT scoping and implementation planning, while linking theoretical and practical perspectives to inform adaptive DT architectures that enhance visibility, interoperability, and resilience.&amp;nbsp;","url":"https://doi.org/10.2139/ssrn.6665190","authors":["Raziyeh Ghanbarifard","Antonio Almeida","Américo Azevedo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T11:44:42Z","doi":"10.2139/ssrn.6665190","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.12731/ofernio.2025.25479","name":"Digital twin «Mobile automated power plant 2500(gas turbine)»","source":"crossref","abstract":"","url":"https://doi.org/10.12731/ofernio.2025.25479","authors":["I.A. Voronov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-06T18:29:43Z","doi":"10.12731/ofernio.2025.25479","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.4560986","name":"Development and Implementation of an Fpga-Based Embedded Real-Time Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4560986","authors":["Mehmet  Rıza Sarac","Omur Aydogmus"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-04T11:25:25Z","doi":"10.2139/ssrn.4560986","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.23889/suthesis.68364","name":"Digital Twin Application for Analysis and Design of an Automated Large Scale Steel Plant Ladle Pouring System","source":"crossref","abstract":"Basic Oxygen Steel (BOS) making method, requires large quantities of liquid iron (frequently exceeding 300 t) to be poured inside the steel-making furnaces. This operation utilises hot metal (HM) ladles and overhead gantry cranes to perform the pouring action. Due to the large quantities of liquid metal, this operation poses significant safety concerns associated with metal spillage. When metal is poured, heat emissions are released. These can damage the surrounding components (such as crane ropes), consequently reducing their lifecycles. Automation of this pouring process can reduce the likelihood of metal spillage while also allowing for optimised ladle movement to reduce the generation of heat emissions. Given the hazardous nature of this operation, robust testing and evaluation of automated crane pouring movements is required. A Digital Twin (DT) model of an overhead gantry crane/HM ladle system is presented here, intended to provide a safe testing environment for controlled pouring movement and to serve as a testbed for control system design studies. Accurate crane movement is achieved using multi-body dynamics, solving for non-linearities present due to joint frictional components. The flow rate of HM is predicted through the application of a dynamic model, allowing the modelling of system dynamics due to differences in HM pouring weights. Several pouring control schemes were developed and tested using this DT model. These control schemes aim at reducing the generation of heat emissions during HM pouring. These were based on an analysis conducted to study the releases of flame during HM pouring through the application of colour-based image segmentation from videos of the process, drawing relationships between process factors and the generation of flame. Using the developed DT model and conducted analysis, recommendations are made for future process improvements. Here, this calls for control of HM pouring rates in accordance with type of scrap metal used.","url":"https://doi.org/10.23889/suthesis.68364","authors":["Ivan Popov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-16T16:14:47Z","doi":"10.23889/suthesis.68364","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/cybconf51991.2021.9464131","name":"Plenary Talk: Digital-Twin Fluid Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cybconf51991.2021.9464131","authors":["Shigeru Obayashi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-28T18:32:46Z","doi":"10.1109/cybconf51991.2021.9464131","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.12794/metadc2257743","name":"Building a Digital Twin of the University of North Texas Using LiDAR and GIS Data","source":"crossref","abstract":"Digital twins are virtual renditions of the actual world that include real-world assets, connections, activities, and processes. Recent developments in technologies play a key role in advancing the digital twin concept in urban planning, designing, and monitoring. Moreover, the latest developments in remote sensing technology have resulted in accurate city-scale light detection and ranging (LiDAR) data, which can be used to represent urban objects (buildings, vegetation, roads, and utilities), enabling the creation of digital twin of urban landscapes. This study aims to build a digital twin of the University of North Texas (UNT) using LiDAR and GIS data. In this research, LiDAR point clouds are used to create 3D building and vegetation modeling along with other GIS data (bicycle racks and parking areas) in creating a digital twin model. 3D Basemap solutions of ArcGIS Pro and ArcGIS Online Scene Viewer, respectively, are used to create an initial 3D urban model and build the ultimate digital twin of UNT. The emergency management floorplans of UNT buildings are incorporated into the digital twin to increase emergency management efficiency. Moreover, solar power potential for individual buildings at UNT has been estimated using the Digital Surface Model (DSM) and integrated into the digital twin model to identify the buildings with the highest solar energy capacity. This study indicates that implementing a digital twin in a university enhances campus efficiency, safety, and sustainability, serving as a central system for a smart campus and contributing to intelligent urban growth.","url":"https://doi.org/10.12794/metadc2257743","authors":["Shwarnali Bhattacharjee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-28T13:36:26Z","doi":"10.12794/metadc2257743","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1002/9781394257003.ch11","name":"A Simulation‐Based Study of a Digital Twin Model of the Air Purifier System in Chandigarh Using LabVIEW","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.ch11","authors":["Jyoti Verma","Monika Sethi","Vidhu Baggan","Manish Snehi","Jatin Arora"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.ch11","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1145/3580305.3599534","name":"TWIN: Personalized Clinical Trial Digital Twin Generation","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3580305.3599534","authors":["Trisha Das","Zifeng Wang","Jimeng Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-04T14:13:58Z","doi":"10.1145/3580305.3599534","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.36819/sw25.002","name":"Digital twin simulation for operational decision making","source":"crossref","abstract":"Simulation models are commonly used as part of system design or management projects and are only now beginning to appear as part of operational control systems. When used to solve problems in real time, simulation models are typically described as being, or forming part of, a digital twin. Using a simulation model as part of a digital twin enables testing of different strategies or system settings based on the current state of the system. For this to be effective, results need to be returned quickly, requiring efficient algorithms for simulation optimization and effective use of data analytics and machine learning methods to complement the simulation modelling. Beginning with a discussion of digital twin models in the context of process simulation, we cover some of the key concepts that enable digital twins to support real-time decision-making, including metamodelling, multi-fidelity simulation optimization and simulation analytics.","url":"https://doi.org/10.36819/sw25.002","authors":["Christine Currie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-20T11:57:37Z","doi":"10.36819/sw25.002","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.6179548","name":"Key Functional Elements for Digital Twin Implementation in Complex Operations Environments","source":"crossref","abstract":"Complex Operations Environments (COEs), found in domains such as manufacturing, logistics, and healthcare, are characterised by structural and behavioural complexity, interdependence, and unpredictability. Managing these environments requires a clear understanding of their characteristics, which is crucial for implementing emerging technologies such as Digital Twins (DTs). While DTs hold significant potential in COEs, their effective deployment depends on identifying and aligning with the specific traits of these environments. Drawing on a systematic literature review (SLR), this study refines a hierarchical conceptualisation of COEs, categorises their characteristics as functional and non-functional, and prioritises them based on applicability to DT implementation. A conceptual mapping illustrates how DTs can bridge these characteristics to support COE management. The research employs Action Research in two phases. First, semi-structured interviews with experts from an industrial manufacturing company validated and enriched the framework. Second, DT experts assessed these characteristics for importance and applicability to DTs, classifying them as Possible, Hard, or Very Hard. The findings highlight both the potential and challenges of applying DTs in COEs. The resulting framework provides actionable guidance for DT developers, system architects, and managers, bridging theory and practice to support adaptive DT architectures that enhance visibility, interoperability, and resilience.","url":"https://doi.org/10.2139/ssrn.6179548","authors":["Raziyeh Ghanbarifard","Antonio Almeida","Américo Azevedo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-05T01:38:16Z","doi":"10.2139/ssrn.6179548","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00015-4","name":"Blockchain technology in clinical trials","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00015-4","authors":["Yan Zhuang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:44:14Z","doi":"10.1016/b978-0-443-30300-5.00015-4","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.32657/10356/214916","name":"A simulation-optimization driven decision-making approach for digital twin environments: towards linking product and production systems","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/214916","authors":["Jongsuk Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-02T06:45:42Z","doi":"10.32657/10356/214916","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.4804894","name":"Dtcns: A Python Toolbox for Digital Twin-Oriented Complex Networked Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4804894","authors":["Jiaqi Wen","Bogdan Gabrys","Katarzyna Musial"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T18:24:59Z","doi":"10.2139/ssrn.4804894","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.7022173","name":"Explainable Vision-Driven Digital Twin Framework for Resilient Edge-Based Infrastructure Monitoring","source":"crossref","abstract":"Automated structural crack detection in civil infrastructure constitutes a critical measurement challenge, requiring systems that quantify crack severity accurately, with physical grounding, and with interpretable outputs for field engineers. This paper presents the Explainable Vision-Driven Digital Twin (EVDT) framework, a closed-loop architecture integrating pixel-level deep learning segmentation, a lightweight physics-informed twin layer, and Gradient-weighted Class Activation Mapping (Grad-CAM) for spatial explainability. A ResNet-34 encoder U-Net performs crack segmentation, while the twin layer computes structural risk scores using reliability-engineering combination rules and feeds back confidence adjustments to the segmentation module. The engineering application is automated crack severity measurement in concrete infrastructure, with a modular design deployable on fog-edge computing nodes. Evaluated on the Crack Segmentation Dataset containing 11,298 real-world annotated crack images with pixel-level masks, EVDT achieves an Intersection over Union (IoU) of 0.566, outperforming all ablation variants. The physics-informed twin layer improves IoU from 0.540 to 0.552, while the full integrated framework reaches 0.566. Grad-CAM visualisations align spatially with crack regions, supporting operational trust and interpretability for field engineers. The modular architecture enables lightweight crack severity measurement on resource-constrained edge hardware, bridging laboratory validation and real-world infrastructure monitoring.","url":"https://doi.org/10.2139/ssrn.7022173","authors":["GNANA PRASUNA VATTIPALLI","Durgesh Nandan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T19:41:37Z","doi":"10.2139/ssrn.7022173","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.3280/oa-1430-c903","name":"Approccio ai limiti delle tecnologie di acquisizione per Digital Twin nel campo dell’arte contemporanea","source":"crossref","abstract":"","url":"https://doi.org/10.3280/oa-1430-c903","authors":["Laura Baratin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-07T09:26:56Z","doi":"10.3280/oa-1430-c903","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5448260","name":"A Modular Semantic CPS Framework for Intelligent Inspection and Digital Twin Readiness in Regulated Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5448260","authors":["Pareshkumar Hotchandani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-06T01:36:43Z","doi":"10.2139/ssrn.5448260","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1002/9781394411320.ch6","name":"Enhancing Urban Efficiency with AI and Digital Twin Technologies in Smart City Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch6","authors":["Sanjivani Hemant KULKARNI","Vipan KUMAR","Anupam KANWAR","Priya DASARWAR","Monali GULHANE","Nitin RAKESH","Utku KOSE"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch6","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1142/9789819824625_0023","name":"Postscript","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0023","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0023","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1007/978-3-031-21343-4_17","name":"Augmented Reality Training in Manufacturing Sectors","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_17","authors":["Marius Preda","Traian Lavric"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_17","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.5671450","name":"Digital Twins in Service Systems: The Process Twin Loop in Courts","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5671450","authors":["Shany Azaria","Opher Baron","Dmitry Krass"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-29T09:37:26Z","doi":"10.2139/ssrn.5671450","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/wsc52266.2021.9715412","name":"Simulation-Optimization of Digital Twin","source":"openalex","abstract":"With rapid advancements in Cyber-Physical manufacturing, the Internet of Things, Simulation software, and Machine Learning algorithms, the applicability of Industry 4.0 is gaining momentum. The demand for real-time decision-making in the manufacturing industry has given significant attention to the field of Digital Twin (DT). The whole idea revolves around creating a digital counterpart of the physical system based on enterprise data to exploit the effects of numerous parameters and make informed decisions. Based on that, this paper proposes a simulation-optimization framework for the DT model of a Beverage Manufacturing Plant. A data-driven simulation model developed in Simio is integrated with Python to perform Multi-Objective optimization. The framework explores optimal solutions by simulating multiple scenarios by altering the availability of operators and dispatching/scheduling rules. The results show that simulation optimization can be integrated into the Digital-Twin models as part of real-time production planning and scheduling.","url":"https://doi.org/10.1109/wsc52266.2021.9715412","authors":["Mohammad Dehghanimohammadabadi","Sahil Belsare","Renee Thiesing"],"tags":["Exploit","Computer science","Scheduling (production processes)","Python (programming language)","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-12","doi":"10.1109/wsc52266.2021.9715412","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:42.178Z"},{"id":"doi:10.1007/978-3-030-02203-7_11","name":"Simulation of Machining Operations Based on the VMT Concept","source":"crossref","abstract":"Abstract This section focusses on the dynamic modelling of the machine tool including its computer numeric control, and its interaction with the machining process. To properly simulate modern machine tools in machining condition, the virtual machine tool model based on SAMCEF Mecano is used to account for close interaction between the dynamic behaviour of the mechanical structure, drives and the control. To fully capture the dynamic behaviour of the machine, force interactions between the cutting tool and the workpiece are also considered. A strong coupling between the mechatronic model of the machine tool and a machining simulation tool is implemented. A specialized cutting force element has been developed. It considers the dynamics of the tooltip combined with the tool-workpiece engagement to generate cutting forces. The use of such digital twin model is demonstrated considering some machining operations.","url":"https://doi.org/10.1007/978-3-030-02203-7_11","authors":["Frédéric Cugnon","Jean-Pierre Delsemme"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T22:45:54Z","doi":"10.1007/978-3-030-02203-7_11","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.5231032","name":"Digital-Twin-Assistedgearfaultsdiagnosis: Enriched Data-Based - Driven Machines Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5231032","authors":["Gauthier NGANDU","Abir Boujelben","Xavier CHIEMENTIN","Lanto RASOLOFONDRAIBE"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-25T21:41:02Z","doi":"10.2139/ssrn.5231032","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00036-3","name":"About the editor","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00036-3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:49:28Z","doi":"10.1016/b978-0-443-34174-8.00036-3","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2118/216944-ms","name":"Unlocking a Digital Twin and Scalable AI Models Through Fit-For-Purpose Reliable Data","source":"crossref","abstract":"Digital transformation has become a strategic imperative for industrial manufacturers and asset owners, promising significant improvements in operational efficiency and profitability. According to Thierry Cartage, former Senior Vice President of Digital at SOLVAY and a renowned industry expert, the potential for digital transformation to enhance industrial operations is estimated at 2-3% improvement in EBITDA. However, unlocking this potential requires a comprehensive journey spanning 2 to 5 years, as highlighted in a joint presentation at the Connected Plant Conference in June 2023. When embarking on digital initiatives, various captivating topics emerge, such as Digital Twin, AI in production, Real-time optimizers, Predictive maintenance, industrial knowledge graphs, and the more recent addition of Generative AI. These topics generate considerable interest and enthusiasm among industry professionals, as they hold the promise of revolutionizing industrial operations and driving competitive advantages. The ability to create virtual replicas of physical assets (Digital Twins) and leverage advanced analytics and machine learning techniques (AI in production) can offer unprecedented insights and efficiencies. Real-time optimizers enable organizations to dynamically optimize operations based on real-time data, while predictive maintenance helps prevent costly equipment failures by identifying maintenance needs in advance. Industrial knowledge graphs provide a structured representation of information, allowing for effective data integration and knowledge discovery. The emerging field of Generative AI opens up possibilities for creating novel and innovative solutions by generating new content or designs based on existing data.","url":"https://doi.org/10.2118/216944-ms","authors":["Bert Baeck"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-02T00:47:23Z","doi":"10.2118/216944-ms","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.5194/egusphere-egu24-20072","name":"AI-based Digital Twin Platform for Flood Risk Intelligence in cities","source":"crossref","abstract":"The intensifying urban flood risks due to climate change necessitate innovative decision-support systems (DSS) for risk assessment and emergency management. The SaferPlaces cloud web platform emerges as a transformative DSS, utilizing AI-based algorithms and cloud computing power to enhance flood hazard preparedness in urban areas. By enabling users to conduct large-scale, high-speed simulations economically, SaferPlaces stands at the vanguard of urban resilience against flooding. At its core, SaferPlaces harnesses Digital Twin technology to create a virtual replica of urban environments, allowing for comprehensive pluvial, fluvial, and coastal flood risk assessment. This digital replication assists in formulating risk mitigation strategies, addressing challenges posed by present and future climate conditions. As an ex-ante tool, SaferPlaces integrates climate forecasts into urban planning, fostering scientifically grounded disaster risk reduction and detailed risk profiling. SaferPlaces distinguishes itself by amalgamating high spatial resolution topographic data, climate information from Copernicus CDS, hydrological data, and open-data platform resources. These inputs feed into advanced models and algorithms, producing high-fidelity hazard and damage estimates. Utilizing Amazon AWS Cloud's computing prowess, the platform generates real-time, cost-effective flood maps for historical and projected climate scenarios. The platform's user-friendly GUI empowers users to swiftly execute multiple flood hazard and damage scenarios, rendering high-resolution maps within minutes. These maps are readily downloadable, supporting an array of potential stakeholders in their operational tasks. Moreover, SaferPlaces offers specialized tools within its GUI to assist users in identifying, designing, and evaluating the effectiveness of various climate mitigation interventions. SaferPlaces' cross-sectoral appeal extends to municipal planners, disaster risk reduction professionals, public authorities, environmental and civil protection agencies, emergency organizations, water management entities, insurance sectors, and real estate industries. Real case application will be discussed in the study","url":"https://doi.org/10.5194/egusphere-egu24-20072","authors":["Francesca Renzi","Stefano Bagli","Paolo mazzoli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T12:43:31Z","doi":"10.5194/egusphere-egu24-20072","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1017/etr.2026.10009.pr7","name":"Author comment: Establishing the rationale for a Digital Twin Framework in the built environment — R1/PR7","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr7","authors":["Astrid Bagireanu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr7","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.26434/chemrxiv.15006176/v1","name":"DATML: A Digital Analytical Twin Markup Language for Specimen-Centred Multimodal Surface Imaging and Analysis","source":"crossref","abstract":"Multimodal analytical workflows increasingly combine microscopy, spectroscopy, chemical imaging, surface analysis and automated experimental planning. However, the information produced by such workflows is still commonly organised around instrument-specific files: one file for an image, another for a spectrum, another for a map, and often a further proprietary project file for the software package that produced or processed the data. These files may contain rich analytical signals, but they often fail to provide a durable, specimen-centred account of where those signals were obtained, how they relate to one another spatially, and how the accumulated record should be reused by later human or autonomous experiments. This paper proposes DATML, the Digital Analytical Twin Markup Language, as an open, XML-based format for representing specimen-centred spatial analytical records. The initial DATML Core 0.1 specification describes one or more Digital Analytical Twins (DATs), each containing metadata, a specimen-centred Cartesian coordinate system, modality-specific layers, spatial points or regions, material descriptions, references to external data files and provenance information. XML namespace extension points allow later or domain-specific vocabularies to add registration transforms, uncertainty and predictive state models without changing the meaning of the core. DATML is intended to complement, not replace, existing analytical formats such as ISO 14976/VAMAS, OME-TIFF, HDF5/NeXus and proprietary instrument files. Its function is to supply the missing spatial context layer: where on the specimen an analytical signal belongs, how that location relates to other measurements, and what specimen-centred record remains after the instrument session has ended. The paper develops the rationale for DATML by analogy with the earlier development of spectral interchange formats in surface chemical analysis. Just as VAMAS-style formats allowed spectra and related analytical signals to move beyond individual instrument vendors’ software ecosystems, specimen-centred spatial context will increasingly need to move beyond stage coordinates, proprietary project files and single-vendor correlative microscopy environments. This need is likely to become more urgent as shared facilities, regulated laboratories, materials databases and self-driving analytical laboratories require machine-readable, auditable and interoperable representations of physical specimens. We describe the DATML design principles, the normative scope of Core 0.1, validated XML examples, relationships to existing standards, a public reference repository and a roadmap toward Predictive Digital Analytical Twins (PDATs), in which spatial analytical records also carry probabilistic state estimates and predicted observations.","url":"https://doi.org/10.26434/chemrxiv.15006176/v1","authors":["Peter J. Cumpson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-17T05:39:08Z","doi":"10.26434/chemrxiv.15006176/v1","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.69894/20200515","name":"Asset administration shell for the digital twin","source":"crossref","abstract":"US Industrial Internet Consortium and German Industrie 4.0 body propose ‘shell’ for digital twins. AAS is a standards-based ‘uniform regulatory framework’ for decentralized systems and artificial intelligence. Flagship implementation in SAP’s i40-aas. Initiative shows push-back from operations on IT encroachment.","url":"https://doi.org/10.69894/20200515","authors":["Neil McNaughton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T12:22:31Z","doi":"10.69894/20200515","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.21203/rs.3.rs-2619857/v2","name":"Twin Prime Conjecture Proof","source":"crossref","abstract":"Abstract The Twin Prime conjecture first proposed by French mathematician Alphonse de Polignac in the year 1846 remains unproven until now. This paper sets out to prove the Twin Prime conjecture by creating a system of equations and finding both a y element of ℕ, (y ϵ ℕ) and a y element of k, (y ϵ k) to find the twin prime values and then two further values where each will differ by an exact amount. From this proof the method demonstrates that the elements of these phenomena prove that there will be an infinite number of twin primes that differ by two. MSC: 11-xx","url":"https://doi.org/10.21203/rs.3.rs-2619857/v2","authors":["Daniel Thompson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-07T17:26:06Z","doi":"10.21203/rs.3.rs-2619857/v2","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.4901766","name":"Research on Digital Twin Modeling Method for Combustion Process Based on Model Reduction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4901766","authors":["Yue Zhang","Jiale Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:49:36Z","doi":"10.2139/ssrn.4901766","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.26434/chemrxiv.15002246/v1","name":"Machine Learning–Enabled Probabilistic Digital Twin for Halftone-Encoded Programmable Mechanical Heterogeneity","source":"crossref","abstract":"Programmable mechanical heterogeneity provides a powerful strategy for tailoring deformation behavior in architected materials; however, establishing predictive relationships between encoded material distributions and mechanical response remains challenging due to complex, nonlinear deformation. Here, we present a machine learning–enabled probabilistic digital twin for halftoneencoded architected materials fabricated via a binary, single-resin additive manufacturing approach. Specimens with systematically varied stiff domain fractions (0–50%) are subjected to uniaxial tensile loading, and deformation morphologies at large strain (60%) are used as input to a convolutional neural network, achieving a classification accuracy of 92%. Misclassifications occur primarily between adjacent stiffness states, reflecting the intrinsic continuity of the mechanical design space. To enable continuous prediction, classification outputs are reformulated through a probabilistic inference framework, where softmax probabilities are interpreted as distributions and converted into continuous estimates via probability-weighted averaging. Validation using unseen specimens with intermediate stiffness (25%) demonstrates accurate interpolation within the learned design space, with predictions confined within physically meaningful intervals near the ground truth. This approach establishes deformation morphology as a physically informative descriptor of encoded mechanical heterogeneity, enabling rapid, nondestructive prediction without constitutive modeling or finite element analysis. The framework provides a scalable pathway for integrating additive manufacturing, image-based mechanical testing, and data-driven modeling for the design and evaluation of architected materials.","url":"https://doi.org/10.26434/chemrxiv.15002246/v1","authors":["Moonsung Park","Tengxiao Liu","Hongtao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-21T04:57:43Z","doi":"10.26434/chemrxiv.15002246/v1","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.6646718","name":"Distributed Swarm Management through Digital-Twin Consensus in UAV-Assisted Networks","source":"crossref","abstract":"Flying Ad Hoc Networks (FANETs) enable rapid deployment of UAV-assisted connectivity and edge services in scenarios where conventional infrastructure is limited or absent. However, most management approaches for these networks rely on a ground control station, which introduces a single point of failure and undermines the ad hoc nature of the deployment. This paper proposes a fully infrastructure-independent management architecture in which a Digital Twin of the UAV swarm is instantiated as the world state of a permissioned blockchain (Hyperledger Fabric) distributed across the aerial nodes themselves. Swarm management operations are encoded as smart-contract logic and agreed upon through the execute-order-validate consensus pipeline, ensuring policy-faithful, auditable, and concurrency-safe execution without reliance on permanent ground infrastructure. A resource-aware role distribution assigns ordering, endorsing, and client responsibilities to UAVs according to their available capacity, keeping the blockchain workload compatible with constrained hardware. We validate the architecture with a proof of concept: a four-node Raspberry Pi cluster running Hyperledger Fabric 2.5. Experimental results show an average endorsed-transaction latency of 3.6 s, a sustained throughput of 0.26 TPS (transactions per second) under sequential submission, service handover coordination in 13.2 s across four blockchain-enforced phases, and 100% MVCC-based conflict detection under concurrent role claims. These results confirm the feasibility of decentralized, blockchain-backed Digital Twin management for UAV swarms on resource-constrained edge hardware.","url":"https://doi.org/10.2139/ssrn.6646718","authors":["Sergio Frejo-Martín","Jaime Galán-Jiménez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-25T12:36:39Z","doi":"10.2139/ssrn.6646718","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.55766/sujst8764","name":"ADAPTIVE DIGITAL TWIN SYSTEM FOR CEMENT PRODUCTION OPTIMIZATION USING MARKOV CHAIN-BASED REACTION RATE MODELLING","source":"crossref","abstract":"Cement manufacturing remains one of the most energy - intensive and carbon - intensive industrial activities, largely because legacy control systems cannot accommodate the highly dynamic, multi - stage nature of clinker formation. This study proposes an Adaptive Digital Twin (ADT) framework that fuses real - time plant data with a Markov Chain - based reaction‑rate model to predict, and proactively steer, chemical transformations inside the kiln. The twin ingests high - frequency sensor streams, updates a time - varying state - space representation of material flows, and couples it with stochastic state - transition matrices calibrated from historical process logs. A reinforcement - learning controller then adjusts fuel injection, air flow, and feed ratios on the fly. The architecture has been given as a prototype design for two plants (Holcim, Switzerland; Fujian Ansha Jianfu, China) and benchmarked against their incumbent PID - driven systems. Over a three - month evaluation horizon, the ADT cut specific thermal energy consumption by 12%, lifted overall throughput by 8%, suppressed quality variability by an order of magnitude, and trimmed unplanned downtime by 25%. Sensitivity analysis confirms that the Markov component - by capturing probabilistic shifts between pre - heating, calcination, clinkering, and cooling states - accounts for more than half of the observed efficiency gain. Beyond delivering immediate cost and emissions benefits, the work demonstrates a transferable blueprint for merging stochastic reaction modelling with cyber - physical twins in other process industries. This research contributes to the field by demonstrating how Markov Chain - Based modeling can enhance industrial process optimization through digital twin frameworks, providing a scalable solution for sustainable cement production.","url":"https://doi.org/10.55766/sujst8764","authors":["Pushan Dutta","Vasileios Paliktzoglou","Shreya Shambhavi","Vugar Abdullayev","Abhik Patra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-01T07:47:04Z","doi":"10.55766/sujst8764","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2991/978-94-6239-642-5_98","name":"The Secrets of Attractiveness of Digital Twin: A Study of Digital Twin Images Based on Consumers’ Preferences","source":"crossref","abstract":"","url":"https://doi.org/10.2991/978-94-6239-642-5_98","authors":["Jiajia Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-28T05:55:43Z","doi":"10.2991/978-94-6239-642-5_98","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1049/dgt2.70036","name":"Physics‐Inspired, Ageing‐Aware Digital Twin Framework for Long‐Term Performance Prediction in Bioreactor Systems","source":"crossref","abstract":"ABSTRACT Conventional bioreactor models and many existing digital twin formulations commonly assume constant transport and thermal properties, which limits their ability to represent the gradual degradation that occurs during long‐term operation. In practical bioprocess systems, ageing mechanisms such as biofilm formation and fouling progressively modify oxygen and heat transfer behaviour, influencing overall system performance over time. To address this limitation, this study presents a physics‐inspired, ageing‐aware digital twin framework in which degradation mechanisms are incorporated directly as time‐evolving internal state variables within the governing transport formulation. Unlike conventional approaches that treat transport coefficients as fixed or periodically adjusted parameters, the proposed framework enables continuous mechanistic representation of degradation‐driven transport evolution. The model integrates mechanistic mass and energy balances with ageing‐dependent transport relationships to describe the coupled evolution of oxygen transfer and thermal behaviour during prolonged operation. Simulation results demonstrate that ageing‐induced transport degradation leads to gradual reductions in oxygen transfer capacity, productivity decline, and measurable thermal drift, even under nominal operating conditions. The framework further provides mechanistic insight into how biofilm accumulation influences long‐term transport behaviour and system dynamics in ways not captured by time‐invariant formulations. By explicitly coupling ageing evolution with transport degradation, the proposed digital twin establishes a physically grounded and interpretable framework for degradation‐aware bioreactor modelling. The present study is intended as a mechanistic foundation that can support future experimental calibration, parameter estimation and integration with monitoring systems for long‐term sustainable bioprocess operation.","url":"https://doi.org/10.1049/dgt2.70036","authors":["Aswin Karkadakattil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T17:34:23Z","doi":"10.1049/dgt2.70036","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.31216/bdl.20240018","name":"Development of the Model for Construction in Science Inquiry Class Using Digital Twin Technology","source":"crossref","abstract":"This study aims to develop a model for construction in a science inquiry class, explicitly focusing on the application of digital twin technology. This technology allows students to explore biological phenomena virtually, learning with virtual replicas and physical space in the context of learning biology. To develop the model, the researcher analyzed various research related to digital twin applications and performed a literature review in the context of effective teaching and learning strategy. Additionally, 22 students were recruited to assess the effect of the class to construct through the model at the affective domain. This study found that the construction model of inquiry class functions as guidance for interactive and immersive learning, enabling students to overcome the traditional limitations of time, space, and physical resources. Also, results showed that students significantly improved their affective domain in biology inquiry class. Consequently, three conclusions were drawn from this research. First, digital twin technology enhances student engagement and interaction, creating a more immersive and interactive learning environment. Second, personalized learning is facilitated, as the digital twin system allows for real-time monitoring and tailored feedback, fostering greater independence in students’ learning processes. Third, the digital twin-based class model proved feasible and effective in actual classes, with tangible improvements in students’ affective domain towards science and inquiry-based learning. Therefore, using the digital twin technology can help reduce the digital and educational divide by providing high-quality learning experiences in resource-limited settings.","url":"https://doi.org/10.31216/bdl.20240018","authors":["Jung-ho Byeon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-05T01:52:20Z","doi":"10.31216/bdl.20240018","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.5772/intechopen.96168","name":"The Digital Twin of an Organization by Utilizing Reinforcing Deep Learning","source":"crossref","abstract":"Chapter deals with latest knowledge on deep reinforcement learning in the context of organizational management. Article presents reinforcement learning (RL) as a tool for the manager on the path to learning winning behavior in the complex environment of organization management. Organization management has wicked learning challenges because agents are under biases that prevent understanding the phenomenon of delayed reward. Therefore, the digital simulation with RL is effective forming breakthrough learning results. Human capital management theories provide architecture in creating organization digital twin where agent can practice management actions effect on business economics and staff wellbeing. Utilizing RL algorithms, it is possible to foster behavior for creating sustainable competitive advantage – this means the Nash equilibrium between profit and staff wellbeing. In this digital twin there is AI learning assistant as a teacher that provides demonstrations on how to act so that the delayed reward is good in the future. The article explains game theoretical approach that is the foundation for creating management deep learning AI system. Human agent at the organization is playing the game of Strategic Stochastic Bayesian Nonsymmetric Signaling game in co-operative or non-cooperative way and at zero-sum or general sum game mind-set.","url":"https://doi.org/10.5772/intechopen.96168","authors":["Marko Kesti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-02-19T16:01:46Z","doi":"10.5772/intechopen.96168","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.7156363","name":"Digital Twin of the Prague Astronomical Clock","source":"crossref","abstract":"The Prague Astronomical Clock is a medieval astronomical clock located on the Old Town Hall in Prague. It is the oldest functioning astronomical clock with its original mechanism and the most visited astronomical clock in the world. However, many visitors do not know exactly what the astrolabe displays. Moreover, the inner clockwork machine is not normally accessible even to researchers, and over more than 600 years of the clock’s existence, no complete documentation of the clock has been created. The goal of our project was to create a complete digital replica of the astronomical clock, including the kinematics of all its parts, thereby creating detailed documentation of this masterpiece for future generations and enabling access to the clock’s internal components through the digital replica. A specific digitization process had to be designed that combined photogrammetry, optical scanning, procedural generation, and manual modeling, drawing on various information sources and historical drawings. The digital model also includes the historical appearance of the astronomical clock prior to its restoration in the 19th century, which was also captured for the first time. In this article, we describe the process of creating a digital replica of the astronomical clock, the experience gained, and user feedback on the digital presentation.","url":"https://doi.org/10.2139/ssrn.7156363","authors":["Sven Ubik","Jiří Kubišta","Oldřich Linhart","Petr Skála","David Knespl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T19:38:27Z","doi":"10.2139/ssrn.7156363","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.26434/chemrxiv-2021-pvb0t","name":"On-Board Reagent Storage and Release by Solvent-Selective, Rotationally Opened Membranes – A Digital Twin Approach","source":"crossref","abstract":"Decentralized bioanalytical testing in resource-poor settings ranges among the prime applications of microfluidic systems. The high operational autonomy in such point-of-care / point-of-use scenarios requires on-board stored liquid reagents, which need to be safely contained during long-term storage, transport and handling, and reliably released prior to activation. Over the recent decades, centrifugal microfluidic technologies have demonstrated the capability of integrated, automated and parallelized sample preparation and detection of bioanalytical protocols. This paper introduces a novel concept for onboard storage of liquid reagents which can be delivered in a well-defined manner by a rotational stimulus of the system-innate spindle motor, while still aligning with the conceptual simplicity of such “Lab-on-a-Disc” (LoaD) concepts. The reagent storage technology is captured by a digital twin which allows making complex performance analysis and algorithmic design optimization according to given objectives as expressed by target metrics.","url":"https://doi.org/10.26434/chemrxiv-2021-pvb0t","authors":["Jens Ducrée"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-02-01T09:43:51Z","doi":"10.26434/chemrxiv-2021-pvb0t","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1515/9783111327853-006","name":"Chapter 6 Digital twins and dietary health technologies: Applying the capability approach","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111327853-006","authors":["Mark Ryan","Sjoukje Osinga"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-23T10:34:36Z","doi":"10.1515/9783111327853-006","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1007/978-3-031-81451-8_5","name":"Unlimited Potential: The Reusable Local Digital Twin","source":"crossref","abstract":"Abstract More than merely software or an application, a Local Digital Twin (LDT) is a continuously growing means to maximise the value of existing and new datasets and models based upon a unified platform. Cities and organisations often face multiple digital initiatives focused on applications designed as integrated systems of data, business logic, and user interfaces. However, data and models can be of much more value if they are extended to be used for multiple purposes in an interoperable way. The strength of the LDT lies in the ability to aggregate existing and new technologies that enable the integration of data and models to deliver analytical and visual insights tailored to the needs of different users. The key to achieving this outcome is creating architecture based upon clear design principles and reusable, modular building blocks.","url":"https://doi.org/10.1007/978-3-031-81451-8_5","authors":["Ingrid Croket","Philippe Michiels","Stefan Lefever","Gert Hilgers"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-08T08:48:19Z","doi":"10.1007/978-3-031-81451-8_5","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.2139/ssrn.4374417","name":"Intelligent Component of the Digital Twin of the Heat Supply System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4374417","authors":["Julia Elistratova","Artem Seminenko","Rafshan Ramazanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-01T14:21:21Z","doi":"10.2139/ssrn.4374417","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/j.dte.2025.100059","name":"Real-time simulation and abnormal condition recognition of series compressor system based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2025.100059","authors":["Yang Su","Xuejiang Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-07T06:59:54Z","doi":"10.1016/j.dte.2025.100059","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1049/pbpc071e_ch1","name":"Understanding digital twins as a digital counterpart of physical systems","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_ch1","authors":["Bhupesh Kumar Mishra","Dhaval Thakker","Zeeshan Pervez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_ch1","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/dtpi59677.2023.10365476","name":"Web-Based BIM Platform for Building Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi59677.2023.10365476","authors":["Satoru Furuta","Jin Nakazato","Manabu Tsukada"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-26T19:14:17Z","doi":"10.1109/dtpi59677.2023.10365476","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1002/9781394315680.ch8","name":"Potential of Interactive VR and Digital Twin for Drug Development and Clinical Trials","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394315680.ch8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-29T10:27:33Z","doi":"10.1002/9781394315680.ch8","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00005-9","name":"Cloud, fog and edge computing for school digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00005-9","authors":["Anita Mohanty","Ambarish G. Mohapatra","Abhro Mukherjee","Bright Keswani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00005-9","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1002/9781394298334.ch07","name":"Some Examples of Applicability of the Digital Twin Architecture","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394298334.ch07","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:37:40Z","doi":"10.1002/9781394298334.ch07","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.48130/dts-0025-0023","name":"Digital twin intersection based on roadside multi-sensor data fusion","source":"crossref","abstract":"","url":"https://doi.org/10.48130/dts-0025-0023","authors":["Yuhang Wang","Yanzhan Chen","Liang Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-31T06:27:26Z","doi":"10.48130/dts-0025-0023","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1130/abs/2025am-5201","name":"Digital Twin of Geosciences - Deep-time Digital Earth and Marine Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1130/abs/2025am-5201","authors":["Jin Qi","Zhenhong Du","Hanchen Zhuang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-11T05:26:51Z","doi":"10.1130/abs/2025am-5201","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/j.dte.2026.100097","name":"Digital twin empowers urban digitalization: Driving intelligent and sustainable city development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2026.100097","authors":["Fei Tao","Li Yi","Shuaiming Su","Ray Y. Zhong","Miroslaw Skibniewski","Ioannis Brilakis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T16:19:26Z","doi":"10.1016/j.dte.2026.100097","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.4018/978-1-6684-7548-5.ch021","name":"Digital Twin-Driven Condition-Based Maintenance","source":"crossref","abstract":"The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.","url":"https://doi.org/10.4018/978-1-6684-7548-5.ch021","authors":["Adolfo Crespo del Castillo","Marco Macchi","Laura Cattaneo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-05T09:57:01Z","doi":"10.4018/978-1-6684-7548-5.ch021","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-323-99205-3.00012-2","name":"Digital twins and artificial intelligence: transforming industrial operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-99205-3.00012-2","authors":["B. Shuriya","P. Sivaprakash","K. Arun Kumar","M. Saravanakumar","A. Rajendran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-01T05:31:02Z","doi":"10.1016/b978-0-323-99205-3.00012-2","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003425724-38","name":"Building a Digital Twin – Features for Veneer Production Lines – Observations on the Discrepancies between Theory and Practice","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-38","authors":["Jyrki Savolainen","Ahsan Muneer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-38","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003492146-19","name":"Future of Digital Twins in the Rail Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-19","authors":["Maksym Spiryagin","Stefano Bruni","Colin Cole"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-19","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/j.scitotenv.2024.171672","name":"Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2024.171672","authors":["Neil J. Rowan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-12T03:44:58Z","doi":"10.1016/j.scitotenv.2024.171672","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1049/dgt2.70035","name":"Operationalising a Digital Twin for Electric Bus Dispatch: Quantile‐Transfer Calibration and Policy‐Ready Rulebooks","source":"crossref","abstract":"ABSTRACT Battery‐electric bus (BEB) dispatch reliability in hot climates is limited by day‐to‐day variability in energy demand and by uncertainty in auxiliary loads and charging access. We develop a telemetry‐anchored digital twin workflow that converts a calibrated MATLAB/Simulink longitudinal energy model into reliability‐based dispatch guidance using day‐aware splits (DayID) and day‐weighted evaluation. Using telematics from two BEBs operating in Belize (131 bus‐days; 1341 exported segments; 1187 QC‐passing segments and 674 segments used for fitting and scenario simulation), the calibrated model achieves median absolute day‐level noncharging energy errors of 11.3% (train), 12.4% (validation) and 13.5% (test), with median filtered‐power RMSE of 7.6–7.8 kW across splits. We define shortfall risk via p ‐quantile ‘safe distance’ thresholds computed from simulated range‐to‐reserve and estimate conservative envelopes using day‐bootstrap lower confidence bounds. Out‐of‐sample quantile‐transfer diagnostics show pooled p10 thresholds transfer close to nominal shortfall frequencies, whereas the long‐duty regime requires conservative treatment. Scenario sweeps over temperature, reserve SoC (0.10–0.25), HVAC efficiency and usable capacity indicate that battery‐only feasibility tightens sharply under heat stress; temperatures above the observed telemetry window (≈ 23.8°C–31.5°C) are treated as scenario‐planning stress tests (e.g., pooled reserve limit declines from 0.17 at 28°C to 0.11 at 32°C and becomes infeasible at 35°C within the tested reserve grid). Crediting observed opportunity charging (median 22–64 kWh/day depending on day type) expands feasible reserve envelopes and converts residual gaps into minutes‐scale charging requirements under typical charger powers; this ‘with‐charge’ case is an upper bound unless comparable charging access can be ensured operationally. The resulting dispatch charts and temperature‐binned reserve rulebook provide an operational interface from calibrated energy modelling to reliability‐based planning, with explicit flags where reserve policy alone is insufficient.","url":"https://doi.org/10.1049/dgt2.70035","authors":["Curtis Boodoo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-23T15:27:36Z","doi":"10.1049/dgt2.70035","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.5194/egusphere-egu25-15245","name":"Developing a virtual digital laboratory for geothermal exploration: data processing, distributed systems and three-dimensional model visualisation of a digital twin","source":"crossref","abstract":"The assessment of the exploration potential and high upfront exploration costs are significant barriers to the deployment of geothermal energy exploitation. The DEGREE project aims to enhance the success rate of such projects through advancing exploration methodologies and the development of a virtual digital underground laboratory. This laboratory leverages a digital twin of the target area, a geothermal test site in the East Eifel region of Germany. The project covers the entire workflow, from data collection and processing to geological and coupled hydro-thermo-mechanical modeling, as well as visualisation and analysis of the model results. This workflow will be designed to be fully automated, including the computation of individual data processing steps on distributed systems. The final model results will be accessible through a browser-based frontend, featuring three-dimensional visualisation and advanced analysis tools. This poster presents an overview of the project&amp;#8217;s approach and the planned architecture of the virtual digital laboratory.","url":"https://doi.org/10.5194/egusphere-egu25-15245","authors":["Christian Meeßen","Matthias Volk","Wolfgang Castell"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T03:19:02Z","doi":"10.5194/egusphere-egu25-15245","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-443-43896-7.00040-6","name":"Evaluation of digital twin identicality in intelligent connected autonomous vehicles using energy consumption optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-43896-7.00040-6","authors":["Mduduzi C. Hlophe","Bodhaswar T. Maharaj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T10:46:28Z","doi":"10.1016/b978-0-443-43896-7.00040-6","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1002/9781394383740.ch4","name":"Future Trends and Emerging Challenges in Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch4","authors":["Kavita Arora","Neha Gupta","Wanqing Tu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch4","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003281184-8","name":"Design Theories and Application Platforms for Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-8","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-8","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003425724-36","name":"Conceptualization and Design of a Digital Twin for Industrial Logistic Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-36","authors":["Giuseppe Aiello","Islam Asem Salah Abusohyon","Salvatore Quaranta","Giulia Marcon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-36","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1007/978-3-031-67778-6_8","name":"Conceptualising the Application of Digital Twins in Supply Chain Management: A Path Towards Supply Chain Resilience","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_8","authors":["Rajinder Bhandal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:18Z","doi":"10.1007/978-3-031-67778-6_8","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/dtpi55838.2022.9998964","name":"Digital Twin Network based Network Slice Security Provision","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi55838.2022.9998964","authors":["Ke Wang","Haitao Du","Li Su"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-03T21:53:57Z","doi":"10.1109/dtpi55838.2022.9998964","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003465904-21","name":"Digital Twin in Water Utilization","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003465904-21","authors":["E.B. Priyanka","S. Thangavel","S.K. Devatharani","A. Jose Anand","Saravanan Krishnan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-04T17:34:54Z","doi":"10.1201/9781003465904-21","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/mitp.2023.3264209","name":"Digital Twin of a Digital World: Process, Data, and Experience Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mitp.2023.3264209","authors":["Suraj G. Jadhav","Surendra Sarnikar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-06T17:22:45Z","doi":"10.1109/mitp.2023.3264209","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.18127/j00338486-202505-11","name":"Implementation of the digital twin of the module for recognizing types of digital modulation of radio signals","source":"crossref","abstract":"Problem statement. The recognition of types of radio signal modulation is a significant task that is being solved in radio engineering systems of various applications. The article substantiates the relevance of creating a twin module for recognizing types of digital radio signal modulation. Goal. Creation creation and implementation of a digital twin module for recognizing types of digital modulation of radio signals based on their statistical characteristics Results. A digital twin of the digital signal modulation type recognition module based on cumulative analysis has been developed. Practical significance. The developed algorithm for the dynamic formation of a training sample in the process of real operation eliminates the need for manual training of models when conditions change. The architecture of the adaptive cumulative analyzer makes it possible to optimize the selection of features depending on the noise level, modulation, and other factors affecting reception.","url":"https://doi.org/10.18127/j00338486-202505-11","authors":["V.K. Kurbanaliev","M.V. Fesenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-14T10:21:07Z","doi":"10.18127/j00338486-202505-11","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.62311/nesx/905773","name":"Smart Manufacturing with Digital Twins: Real-Time Optimization and Process Innovation","source":"crossref","abstract":"Abstract: This chapter explores the transformative impact of digital twin technology in smart manufacturing, focusing on real-time optimization and process innovation. Digital twins, as virtual replicas of physical assets and processes, enable manufacturers to monitor, simulate, and optimize production in real-time, leading to significant improvements in efficiency, product quality, and agility. The chapter delves into the core technologies that power digital twins, including IoT, AI, and advanced simulation software, and examines their application across various industries such as automotive, aerospace, consumer electronics, and pharmaceuticals. Through case studies and future trend analysis, the chapter highlights how digital twins are revolutionizing manufacturing by enabling predictive maintenance, enhancing supply chain management, and supporting sustainable practices. It also addresses the challenges of implementing digital twins, including technical, economic, and organizational considerations, and emphasizes the importance of continued innovation and standardization to fully realize their potential in the future of manufacturing. Keywords: Smart Manufacturing, Digital Twins, Real-Time Optimization, Process Innovation, IoT in Manufacturing, AI in Manufacturing, Predictive Maintenance, Supply Chain Optimization, Industry 4.0, Simulation and Modeling, Manufacturing Efficiency, Agile Production, Sustainability in Manufacturing, Advanced Manufacturing Technologies.","url":"https://doi.org/10.62311/nesx/905773","authors":["Murali Krishna Pasupuleti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-23T07:17:27Z","doi":"10.62311/nesx/905773","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/imed68921.2026.11484180","name":"Digital Twin-Enabled Simulation of Tobacco Logistics Distribution Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/imed68921.2026.11484180","authors":["Bo Jin","Yong Zhang","Wei Qiu","Hao Quan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T19:57:06Z","doi":"10.1109/imed68921.2026.11484180","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/j.measen.2023.100970","name":"A study of digital exhibition visual design led by digital twin and VR technology","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measen.2023.100970","authors":["Zhiyang Liu","Seokwon Chang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-14T21:26:47Z","doi":"10.1016/j.measen.2023.100970","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1201/9781003425724-28","name":"Organizational Barriers and Enablers in Reaching Maturity in Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-28","authors":["Päivi Aaltonen","Laavanya Ramaul","Emil Kurvinen","Antero Kutvonen","Andre Nemeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-28","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.3389/fdgth.2026.1898383","name":"Blockchain-enabled digital twin systems in healthcare: a systematic scoping review of architectural integration, privacy, governance, ethical challenges, and regulatory solutions under GDPR and HIPAA","source":"crossref","abstract":"Background and objective The integration of blockchain and digital twin (DT) technologies is increasingly recognised as a promising approach for improving healthcare data integrity, interoperability, privacy, and clinical decision support. While digital twins enable dynamic patient modelling and predictive healthcare applications, blockchain provides secure data governance through decentralised trust, auditability, and access control. However, existing research remains fragmented, with limited synthesis of the architectural integration, regulatory readiness, ethical governance, and interoperability of blockchain-enabled healthcare digital twin systems. This systematic scoping review addresses these gaps by providing a comprehensive architectural and compliance-oriented analysis of the current evidence. Methods A systematic scoping review was conducted following PRISMA 2020 guidelines using Scopus, PubMed, and Web of Science. From 148 identified records, 55 eligible studies published between 2020 and 2025 were included after duplicate removal and eligibility screening. Data were extracted on digital twin functionality, blockchain architecture, healthcare application domains, consensus mechanisms, privacy-preserving strategies, and regulatory and ethical alignment. Structured Python-based visual mapping and comparative analyses were performed to identify architectural, governance, and compliance patterns across the literature. Results The findings demonstrate that blockchain is predominantly employed to provide access control, audit logging, data integrity, consent management, and secure data provenance within healthcare digital twin ecosystems. Patient-level and EHR-centred digital twins represented the most mature application areas, whereas cross-domain and infrastructure-level frameworks dominated early architectural exploration. The review identifies recurring compliance-oriented architectural patterns while revealing substantial gaps in clinically validated deployments, interoperability with established healthcare standards, decentralised governance models, and formal implementation of GDPR- and HIPAA-compliant engineering practices. Comparative heatmap analyses further highlight the uneven maturity of ethical governance and regulatory integration across blockchain functionalities. Conclusion This review provides the first comprehensive compliance-oriented architectural synthesis of blockchain-enabled healthcare digital twin systems by integrating technical architecture, regulatory readiness, ethical governance, and privacy-preserving design patterns within a unified analytical framework. The proposed architectural mapping identifies critical research gaps in interoperability, governance engineering, consensus optimisation, and real-world clinical validation, providing a foundation for the development of trustworthy, GDPR/HIPAA-aligned, FHIR-compatible, and clinically interoperable healthcare digital twin ecosystems.","url":"https://doi.org/10.3389/fdgth.2026.1898383","authors":["Muhammad Farooq Shaikh","Syed Hamza Hassan","Jawwad Shamsi","Alessia Maccaro","Davide Piaggio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T05:57:15Z","doi":"10.3389/fdgth.2026.1898383","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1049/pbpc071e_ch2","name":"Towards a maturity model for digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_ch2","authors":["Alexander Rossmann","Yusuf Bozkurt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_ch2","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.4043/32841-ms","name":"Integrated Operations System: Implementation of a Truly Integrated Digital Oil Field and Development of Digital Twin","source":"crossref","abstract":"Abstract The global oil and gas companies are aggressively adopting new digital technologies for process improvement, enhancing safety, reducing asset down time, and reducing overall cost of production to stay competitive. The Digital Oil Field (DOF) is the idea of digitalizing the oil field operations to improve production performance and collaboration both within and outside the organization. This paper discusses the giant leap taken by ONGC towards digitalization of one of its largest deep-water oil and gas field development – the KG-DWN-98/2. Integrated Operations System (IOPS) presently being implemented in ONGC, comprises of data collection and analytics modules, automation tools and collaboration enablers integrated together for streamlined decision-making, easily accessible expertise and safe collaborative co-location of essential personnel. Paper discusses the existing challenges being faced by ONGC in production optimization, asset maintenance and collaboration. IOPS system is proposed as a solution to overcome these challenges. With the help of IOPS, the concept of \"Digital-Twin\" is introduced in ONGC. The method of developing a digital twin for the entire field from reservoir to separator using existing industry proven software with limited customization are discussed in detail. The methodology adopted for acquiring field data, analysis of the acquired data and utilizing the business intelligence acquired for optimizing production and ultimately leading to business transformation is discussed. The use of advanced digital collaboration environments to effectively utilize the technical expertise located at various geographical locations to solve complex technical issues and provide quick resolution to business problems are discussed in detail. The usage of Big data for predictive analytics to move the decision making from a post event reactive approach to proactive responsive approach is briefly discussed. The functioning of different components of the IOPS system, the interconnection between various analytics modules, the flow of data between modules to form a digital twin of the field and the expected benefits of the system are discussed in detail. The system is expected to improve production uplift by 2 to 3% and reduce the overall OPEX cost by 10 to 20%. The system is expected to increase the Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR) of the critical assets by enabling Reliability Centered Maintenance (RCM).","url":"https://doi.org/10.4043/32841-ms","authors":["P. Amal Balachandran","K. Vipin Krishna Padmanabhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-17T03:34:40Z","doi":"10.4043/32841-ms","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1007/978-3-030-04798-6_4","name":"Lucy Finally Understands How Cellphones Work: Ambiguous Digital Technologies in Twin Peaks: The Return and Its Fan Communities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-04798-6_4","authors":["Jeffrey Fallis","T. Kyle King"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-01-04T10:34:21Z","doi":"10.1007/978-3-030-04798-6_4","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.24042/ijecs.v4i1.22279","name":"Mitigating Security Threats for Digital Twin Platform: A Systematic Review with Future Scope and Research Challenges","source":"crossref","abstract":"In Industry 4.0, the digital twin (DT) enables users to simulate future states and configurations for prediction, optimization, and estimation. Although the potential of digital twin technology has been demonstrated by its proliferation in traditional industrial sectors, including construction, manufacturing, transportation, supply chain, healthcare, and agriculture, the risks involved with their integration have frequently been overlooked. Moreover, as a digital approach, it is intuitive to believe it is susceptible to adversarial attacks. This issue necessitates research into the multitude of attacks that the digital twin may face. This study enumerates various probable operation-specific attacks against digital twin platforms. Also, a comprehensive review of different existing techniques has been carried out to combat these attacks. A comparison of these strategies is provided to shed light on their efficacy against various attacks. Finally, future directions and research issues are highlighted that will help researchers expand the digital twin platform.","url":"https://doi.org/10.24042/ijecs.v4i1.22279","authors":["Swati Lipsa","Ranjan Kumar Dash","Korhan Cengiz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T03:59:23Z","doi":"10.24042/ijecs.v4i1.22279","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1109/powertech59965.2025.11180450","name":"An Analysis of the Digital Twin in the Energy Sector from the Perspective of Digital Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/powertech59965.2025.11180450","authors":["Andreas Strasser","Ulf Häger","Thomas Krug"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-08T17:35:35Z","doi":"10.1109/powertech59965.2025.11180450","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1016/b978-0-443-13812-6.00001-4","name":"Digital twin-based decision support system for planning and scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-13812-6.00001-4","authors":["Ping Chong Chua","Seung Ki Moon","Yen Ting Ng","Huey Yuen Ng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-19T09:21:06Z","doi":"10.1016/b978-0-443-13812-6.00001-4","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.4995/hedit2024.2024.17771","name":"Use of the digital twin in historic monuments: The case of the church of San Antonio Abad","source":"crossref","abstract":"Given the importance of the conservation of cultural property and the use of the digital twin as a tool for the representation of its life cycle and enhancement, we will carry out a digitisation project approach on the Church of San Antonio Abad and its protective environment, located in the city of Valencia (Spain) and currently considered an Asset of Local Relevance. A theoretical approach is made to how the digital twin could be created, taking into account the various existing techniques, namely 3D scanning, photogrammetry, and BIM methodology, to achieve the complete digitisation of the monument. This first approach allows us to understand the evasion of this property and its challenges so that the digital twin can be realised in the future.","url":"https://doi.org/10.4995/hedit2024.2024.17771","authors":["Paula Blanco Estévez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-10T09:42:51Z","doi":"10.4995/hedit2024.2024.17771","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00021-6","name":"Digital twins and brain surgery: revolutionizing neurosurgical procedures through advanced simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00021-6","authors":["Hossein Hassani","Benjamin Irani","Saharsadat Reihaninia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:59:39Z","doi":"10.1016/b978-0-443-34226-4.00021-6","addedAt":"2026-09-01T01:47:41.899Z","updatedAt":"2026-09-01T01:47:41.899Z"},{"id":"doi:10.5281/zenodo.10033187","name":"PERFORMANCE INCREASE BASED ON JOB ANALYSIS WITH COMPETENCY  APPROACH ASSIGNED TO MANUFACTURING INDUSTRY 4.0+5.0","source":"datacite","abstract":"Purpose – The aim of the research topic is to identify a model for increasing performance through the development of human resource competencies in manufacturing organizations, based on the premise that the main needs of employees are related to the training and development of skills as well as the acquisition of knowledge needed within the organization. Methodology/approach - Concepts and theories related to Industry 4.0-5.0 are still new and yet developing, based on empirical studies, which do not work always across the board. For this reason, the research methodology is based on recent literature review and primary data collection from articles published in the last 7-8 years.In parallel, we have also drawn on established formal theories of human resource management, in particular performance management and the recent concept of HPWS (human performance work system).Regarding the theories of the socio-technical system, which define the organization of production,the concepts of W.P. Newman were chosen, because from an ontological point of view they point to the actual reality, versus the old concept of Davis and Trist. The proposed model for determining the growth of human resources performance in the organization is based on the hypothesis of existing of the interaction between the organization as a socio-technical system (based on the theories developed by W.P.Newman) with the categories of employees, who are determined to perform, due to motivational factors, personal skills and the work environment, according to the HRM concepts of Snell & Morris.The technical factors that features Industry 4.0 can boost the enterprise in the race for competitive advantage and can be customized as sources of working tools according to the nature of the activities to stimulate internal human resources. A second hypothesis deriving from the first one is following the main directions of the 4.0-5.0 core competencies as a base of performance of the specialist-operator. The essential competences of the job should be combined with the 10 categories outlined by the World Manufacturing Forum, in 2019 to become the needed mix for a specialist I4.0. Their mix can be different depending on the manufacturing profile, the weight of each competence being determined by the measurement tools used for assesment .This study is proposed to illustrate an example related to the clothing industry by using the job analysis in the organization,having an outcome with job design based on competences based approach of Snell & Morris. Findings – Industry 4.0 -5.0 factors can be a source of learning, in order to obtain the adequate set of competences adapted to the manufacturing industry. Increasing the individual and team performance of employees is based on the development of the 4.0-5.0 competences mix, developing the theory of mass customization at the level of incentive factors which stimulate the contribution of each employee through their particular skills and developed knowledge. Thus, Industry 4.0 factors become the opportunity to grow the organization and win the race for competitive advantage, but a adequate design of job profile must be constructed in order to appreciate and reward specifically the competences which are providing the employees performance. Research limitations/implications – Today, due to the economic crisis triggered by the health effects of the Covid 19 pandemic, there is a steady decline in interest in manufacturing activities, particularly in the garment industry, due to the long training cycle of manual dexterity skills, in which human-machine interaction is predominantly manual, and on the other hand the limited level of computerized development, with managerial preoccupation focused on obtaining profit with reduced personnel costs, without a defined goal linked to the motivation of employees or the attraction of new generations and without the visibility of a personal development perspective. The effervescence of innovations comin","url":"https://doi.org/10.5281/zenodo.10033187","authors":["SIMION, Luminita Cristina","AVASILCAI, Silvia","PASLARU, Marius"],"tags":["Sociotechnical system Industry 4.0 W.P. Newman, High performance work system Snell&amp; Morris, com-petences of specialist I.4.0"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10033187","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10033188","name":"PERFORMANCE INCREASE BASED ON JOB ANALYSIS WITH COMPETENCY  APPROACH ASSIGNED TO MANUFACTURING INDUSTRY 4.0+5.0","source":"datacite","abstract":"Purpose – The aim of the research topic is to identify a model for increasing performance through the development of human resource competencies in manufacturing organizations, based on the premise that the main needs of employees are related to the training and development of skills as well as the acquisition of knowledge needed within the organization. Methodology/approach - Concepts and theories related to Industry 4.0-5.0 are still new and yet developing, based on empirical studies, which do not work always across the board. For this reason, the research methodology is based on recent literature review and primary data collection from articles published in the last 7-8 years.In parallel, we have also drawn on established formal theories of human resource management, in particular performance management and the recent concept of HPWS (human performance work system).Regarding the theories of the socio-technical system, which define the organization of production,the concepts of W.P. Newman were chosen, because from an ontological point of view they point to the actual reality, versus the old concept of Davis and Trist. The proposed model for determining the growth of human resources performance in the organization is based on the hypothesis of existing of the interaction between the organization as a socio-technical system (based on the theories developed by W.P.Newman) with the categories of employees, who are determined to perform, due to motivational factors, personal skills and the work environment, according to the HRM concepts of Snell & Morris.The technical factors that features Industry 4.0 can boost the enterprise in the race for competitive advantage and can be customized as sources of working tools according to the nature of the activities to stimulate internal human resources. A second hypothesis deriving from the first one is following the main directions of the 4.0-5.0 core competencies as a base of performance of the specialist-operator. The essential competences of the job should be combined with the 10 categories outlined by the World Manufacturing Forum, in 2019 to become the needed mix for a specialist I4.0. Their mix can be different depending on the manufacturing profile, the weight of each competence being determined by the measurement tools used for assesment .This study is proposed to illustrate an example related to the clothing industry by using the job analysis in the organization,having an outcome with job design based on competences based approach of Snell & Morris. Findings – Industry 4.0 -5.0 factors can be a source of learning, in order to obtain the adequate set of competences adapted to the manufacturing industry. Increasing the individual and team performance of employees is based on the development of the 4.0-5.0 competences mix, developing the theory of mass customization at the level of incentive factors which stimulate the contribution of each employee through their particular skills and developed knowledge. Thus, Industry 4.0 factors become the opportunity to grow the organization and win the race for competitive advantage, but a adequate design of job profile must be constructed in order to appreciate and reward specifically the competences which are providing the employees performance. Research limitations/implications – Today, due to the economic crisis triggered by the health effects of the Covid 19 pandemic, there is a steady decline in interest in manufacturing activities, particularly in the garment industry, due to the long training cycle of manual dexterity skills, in which human-machine interaction is predominantly manual, and on the other hand the limited level of computerized development, with managerial preoccupation focused on obtaining profit with reduced personnel costs, without a defined goal linked to the motivation of employees or the attraction of new generations and without the visibility of a personal development perspective. The effervescence of innovations comin","url":"https://doi.org/10.5281/zenodo.10033188","authors":["SIMION, Luminita Cristina","AVASILCAI, Silvia","PASLARU, Marius"],"tags":["Sociotechnical system Industry 4.0 W.P. Newman, High performance work system Snell&amp; Morris, com-petences of specialist I.4.0"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10033188","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.34726/hss.2023.111306","name":"Konzept eines digitalen Zwillings einer Mensch-Roboter Kollaboration – Simulation und Vergleich eines Arbeitsprozesses","source":"datacite","abstract":"In dieser Arbeit wird die Eignung von Prozess-Simulationen vor und nach der physischen Implementierung einer Mensch Roboter Kollaboration (MRK) Anwendung überprüft. Dafür wird ein eigens entwickeltes Digital-Twin (DT)-Modell vorgestellt, das als Grundlage für die Überprüfung dient. Als DT werden digitale Abbildungen physischer Prozess bezeichnet, welche eine Verbindung zwischen physischen und digitalen Objekten etablieren. Durch die immer engere Zusammenarbeit zwischen Mensch und Roboter wird die Abbildung realer Produktionsprozesse, beispielsweise über DT, notwendig, um die Sicherheit, Ergonomie und Effizienz zu beurteilen. Während im Bereich der Automatisierungstechnik DT bereits vermehrt eingesetzt werden, befinden sich Modelle für MRK Anwendungen, aufgrund der Einbindung des menschlichen Verhaltens, oft noch in der Konzeptphase. Die MRK kann den Automatisierungsgrad in Bereichen erhöhen, die traditioneller Robotik nicht zugänglich war, beispielsweise bei Montageprozessen. Diese flexiblen und komplizierten Herstellungsprozesse fordern eine Integration von intelligenter Sensorik, um eine sichere und effiziente Zusammenarbeit zu gewährleisten. Dazu werden Sensordaten welche nahezu in Echtzeit in den Prozessablauf einfließen notwendig. Das eigene DT-Modell wird an einem industriellen Fallbeispiel erprobt. Zuerst wird eine DT-Simulation erstellt, welche dann in der realen Umgebung nachgebaut wird. Diese Gegenüberstellung ermöglicht die Ausarbeitung etwaiger Abweichungen zwischen dem Simulations- Umfeld und dem realen Aufbau in Bezug auf die Faktoren Sicherheit, Effizienz und Ergonomie. Es wird gezeigt, ob die zweitseitige Datenanbindung, zwischen physischer Anwendung und Simulation, welche einen DT definiert, ausreichend präzise funktioniert, um die Kombination von DT mit MRK zu rechtfertigen. Die Implementierung der Prozesse hat gezeigt, dass der Begriff DT den derzeitigen Stand der Datenströme nicht widerspiegelt, da die Implementierung von beidseitigen Verbindungen begrenzt ist. In Bezug auf das Prozesslayout und die Prozessoptimierung hat sich DT als vorteilhaft erwiesen. Die Umsetzung bestehender Design- und Layout- Richtlinien erlaubt die Entwicklung eines fortgeschrittenen HRC-Prozesses. Diese Arbeit trägt zur Validierung der beidseitigen Datenströmen, welche charakteristisch für DT-Anwendungen sind, bei und legt die Abweichungen der Übertragung dar.","url":"https://doi.org/10.34726/hss.2023.111306","authors":["Schmidt, Mathias"],"tags":["Mensch Roboter Kollaboration (MRK)","Digital Twin (DT)","Humanfaktoren","Mensch zentrierter Ansatz","DT Modell","Sicherheit","CAD Modellierung","Prozess Simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.34726/hss.2023.111306","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.60662/vs3j-g758","name":"Literature Review of Integrated Use of Digital Twin and MES in Manufacturing","source":"openalex","abstract":"International audience","url":"https://doi.org/10.60662/vs3j-g758","authors":["Galli, Erica","Lacroix, Sylvain","Fani, Virginia","Le Duigou, Julien","Danjou, Christophe","Bandinelli, Romeo","Godart, Xavier","Eynard, Benoit","Erica Galli","Sylvain Lacroix","Virginia Fani","Julien Le Duigou"],"tags":["Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60662/vs3j-g758","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.15488/14649","name":"Digital Twins in Bioprocess Engineering – Challenges and Possibilities","source":"datacite","abstract":"The digitalization of processes is one of the currently dominating topics and missions in both industrial production and scientific research. In biotechnology, these efforts have enormous potential to optimize existing bioprocesses or to develop new bioprocesses for upcoming challenges. In this review, the state-of-art of digitalization in bioprocess engineering is considered, the terms digital twin and digital shadow are characterized, and an outlook on future Lab 4.0 concepts is given.","url":"https://doi.org/10.15488/14649","authors":["Richter, Jannik","Lange, Ferdinand","Scheper, Thomas","Solle, Dörte","Beutel, Sascha"],"tags":["Bioprocess digitalization","Digital shadow","Digital twin","FAIR data","Internet of Things","Bioprozessdigitalisierung","Digitaler Schatten","Digitaler Zwilling"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/14649","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.17638/03172342","name":"FUTURE PASSENGER : Mobile, Public, and Locative Media A Study of Mixed Reality Narrative, Interface, and Content to Engage Train Passengers","source":"datacite","abstract":"Google Maps and other living maps (e.g. CartoDB, Mapbox, and Open Street Map) provide an underlying platform for ever more creative, networked, and performative mobile experiences (Dalton, 2015). Furthermore, immersive technologies like augmented reality (AR) provide a spatial paradigm to further connect us to our immediate surroundings. Combining these locative and spatial technologies offers new ways to engage with public spaces (Liao &amp; Humphreys, 2015). This practice-based PhD research aims to use a mobile AR project, Fantasia Express, funded by the UK Ministry of Transport, to investigate a new concept that I call hybrid public space, one that is defined by an interdependent locative digital layer linked to a physical twin. In doing so, I want to create new knowledge that has value to both the creative industries and academics looking to understand the convergence of immersive technology with location and publicness. As a theoretical framework, this thesis considers the insights into the social impact of AR and other technologies, such as their potential to enhance our experience of public space and each other to create a ‘community of strangers’ (De Waal, 2013). My methodological approach encompasses several elements, such as an extensive literature review, developing complex software prototypes, and testing these prototypes with train passengers travelling on the East Coast Mainline. My findings summarise a new approach and design process to develop interfaces for immersive locative projects, new technical approaches to integrating immersive technologies within the existing information technology found on board UK trains, and new production approaches to speed up the iteration of complex software prototypes.","url":"https://doi.org/10.17638/03172342","authors":["Eilbeck, Alastair"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.17638/03172342","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2308.13873","name":"Digital Twin conceptual framework for the O&amp;M process of cubature building objects","source":"datacite","abstract":"The broader construction industry is struggling with data loss, inefficient processes and low productivity in asset management. The remedy to these problems seems to be the idea of Digital Twin (DT). However, the frameworks proposed so far do not always support a solution to these problems. This paper conducts an extensive literature review to develop a conceptual framework for the Operation and Maintenance (O&amp;M) phase for cubic facilities. The conceptual framework takes into account the increasingly popular Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The presented framework, after appropriate modifications, can also be applied to infrastructure facilities or city fragments. The paper presents limitations and directions for further research. The DT paradigm has been adopted and its adoption is ongoing. Its implementation will progress in the coming years.","url":"https://doi.org/10.48550/arxiv.2308.13873","authors":["Borkowski, Andrzej Szymon"],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.13873","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2308.11992","name":"Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology","source":"datacite","abstract":"Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on 2,603 histology images of prostate tissue stained with hematoxylin and eosin. We analyzed various factors influencing tumor-grade disagreement between vPatho and six human pathologists. Our results demonstrated that vPatho achieved comparable performance in prostate cancer detection and tumor volume estimation, as reported in the literature. Concordance levels between vPatho and human pathologists were examined. Notably, moderate to substantial agreement was observed in identifying complementary histological features such as ductal, cribriform, nerve, blood vessels, and lymph cell infiltrations. However, concordance in tumor grading showed a decline when applied to prostatectomy specimens (kappa = 0.44) compared to biopsy cores (kappa = 0.70). Adjusting the decision threshold for the secondary Gleason pattern from 5% to 10% improved the concordance level between pathologists and vPatho for tumor grading on prostatectomy specimens (kappa from 0.44 to 0.64). Potential causes of grade discordance included the vertical extent of tumors toward the prostate boundary and the proportions of slides with prostate cancer. Gleason pattern 4 was particularly associated with discordance. Notably, grade discordance with vPatho was not specific to any of the six pathologists involved in routine clinical grading. In conclusion, our study highlights the potential utility of AI in developing a digital twin of a pathologist. This approach can help uncover limitations in AI adoption and the current grading system for prostate cancer pathology.","url":"https://doi.org/10.48550/arxiv.2308.11992","authors":["Eminaga, Okyaz","Abbas, Mahmoud","Kunder, Christian","Tolkach, Yuri","Han, Ryan","Brooks, James D.","Nolley, Rosalie","Semjonow, Axel","Boegemann, Martin","West, Robert","Long, Jin","Fan, Richard","Bettendorf, Olaf"],"tags":["Tissues and Organs (q-bio.TO)","Artificial Intelligence (cs.AI)","FOS: Biological sciences","FOS: Biological sciences","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.11992","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2301.10224","name":"Digital Twins for Ports: Derived from Smart City and Supply Chain Twinning Experience","source":"datacite","abstract":"Ports are striving for innovative technological solutions to cope with the ever-increasing growth of transport, while at the same time improving their environmental footprint. An emerging technology that has the potential to substantially increase the efficiency of the multifaceted and interconnected port processes is the digital twin. Although digital twins have been successfully integrated in many industries, there is still a lack of cross-domain understanding of what constitutes a digital twin. Furthermore, the implementation of the digital twin in complex systems such as the port is still in its infancy. This paper attempts to fill this research gap by conducting an extensive cross-domain literature review of what constitutes a digital twin, keeping in mind the extent to which the respective findings can be applied to the port. It turns out that the digital twin of the port is most comparable to complex systems such as smart cities and supply chains, both in terms of its functional relevance as well as in terms of its requirements and characteristics. The conducted literature review, considering the different port processes and port characteristics, results in the identification of three core requirements of a digital port twin, which are described in detail. These include situational awareness, comprehensive data analytics capabilities for intelligent decision making, and the provision of an interface to promote multi-stakeholder governance and collaboration. Finally, specific operational scenarios are proposed on how the port's digital twin can contribute to energy savings by improving the use of port resources, facilities and operations.","url":"https://doi.org/10.48550/arxiv.2301.10224","authors":["Klar, Robert","Fredriksson, Anna","Angelakis, Vangelis"],"tags":["Computers and Society (cs.CY)","Computational Engineering, Finance, and Science (cs.CE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2301.10224","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2308.02677","name":"Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges","source":"datacite","abstract":"With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furthermore, we are in the era of the fifth industrial revolution, where machines and humans collaborate to maximize productivity with the effective utilization of human intelligence and other resources. Hence, Industry 5.0 in the metaverse may have tremendous technological integration for a more immersive experience and enhanced communication.These technological amalgamations are suitable for the present environment and entirely different from the previous perception of virtual technologies. This work presents a comprehensive review of the applications of the metaverse in Industry 5.0 (so-called industrial metaverse). In particular, we first provide a preliminary to the metaverse and industry 5.0 and discuss key enabling technologies of the industrial metaverse, including virtual and augmented reality, 3D modeling, artificial intelligence, edge computing, digital twin, blockchain, and 6G communication networks. This work then explores diverse metaverse applications in Industry 5.0 vertical domains like Society 5.0, agriculture, supply chain management, healthcare, education, and transportation. A number of research projects are presented to showcase the conceptualization and implementation of the industrial metaverse. Furthermore, various challenges in realizing the industrial metaverse, feasible solutions, and future directions for further research have been presented.","url":"https://doi.org/10.48550/arxiv.2308.02677","authors":["Prabadevi, B.","Deepa, N.","Victor, Nancy","Gadekallu, Thippa Reddy","Maddikunta, Praveen Kumar Reddy","Yenduri, Gokul","Wang, Wei","Pham, Quoc Viet","Huynh-The, Thien","Liyanage, Madhusanka"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.02677","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.25365/thesis.73933","name":"Die Steuerung von digitalen Zwillingen mit Workflow-Management-Systemen am Beispiel einer virtuellen Fertigungslinie","source":"datacite","abstract":"Digitale Zwillinge gelten als essenziell für die Realisierung der Industrie 4.0 und werden von vielen Experten als Schlüsseltechnologie dieser angesehen. Sie ermöglichen das Abrufen von Echtzeitdaten, die digitale Planung von Diensten oder Produktionen, die Durchführung virtueller Experimente und Simulationen sowie Prozessoptimierungen. Aufgrund fehlender Standards, Frameworks, Regulierungen und weiterer Herausforderungen befindet sich das Konzept der digitalen Zwillinge jedoch noch in der Startphase und bleibt ein größtenteils theoretisches Konzept. Hierbei können Parallelen zu Workflow Systemen, mittels Softwaresystem vollständig oder zum Teil automatisierte Prozesse, gezogen werden, da der Einsatz von Geschäftsprozessmanagement ebenso Prozessoptimierungen, wie mögliche Kostensenkungen, Verkürzungen der Durchführungszeiten sowie Verringerungen der Fehlerquote mit sich bringen kann. Diese Abschlussarbeit zielt darauf ab, zu untersuchen, wie digitale Zwillinge und Workflow-Management-Systeme (WfMS) gemeinsam genutzt und miteinander vernetzt werden können. Die Methodik umfasst eine umfangreiche Literaturrecherche zu den Hintergrundinformationen beider Technologien, wobei insbesondere Anwendungsbereiche beleuchtet werden, in denen sich jene Technologien ergänzen. Darüber hinaus wird ein Konzept sowie ein Implementierungsansatz vorgestellt, welche die Durchführung zweier konkreter Anwendungsfälle einer Fertigungsanlage ermöglichen. Jene Implementierung erlaubt es, einen prozessbasierten digitalen Zwilling mithilfe eines WfMS zu steuern. Dieser digitale Zwilling kann unter anderem 3D-Simulationen durchführen sowie Echtzeitdaten in Form eines Dashboards aufbereiten. Zudem wird eine Web-Anwendung entwickelt, welche Benutzern eine intuitive Schnittstelle bietet, um Simulationen zu definieren, zu verwalten und auszuführen. Diese Simulationen werden vom WfMS gesteuert, welches wiederum den digitalen Zwilling kontrolliert. Das vorgestellte Konzept ermöglicht eine verbesserte Zusammenarbeit, auch für Nicht-Experten, da die zugrundeliegenden Prozesse des digitalen Zwillings in einer allgemein verständlichen Notation vorliegen und einfach angepasst werden können.","url":"https://doi.org/10.25365/thesis.73933","authors":["Pircher, Lorenz"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.25365/thesis.73933","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8197752","name":"Symmetrical 6UPS Parallel Manipulator Digital Twin Based on Electromechanical Leg Design in Matlab/Simulink","source":"datacite","abstract":"Project in Matlab/Simulink - Symmetrical 6UPS Parallel Manipulator Digital Twin Based on Electromechanical Leg Design in Matlab/Simulink. Supplementary material for contribution - for review process (MDPI - Symmetry).","url":"https://doi.org/10.5281/zenodo.8197752","authors":["Bulej, Vladimír","Eberth, Manfred"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8197752","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8197753","name":"Symmetrical 6UPS Parallel Manipulator Digital Twin Based on Electromechanical Leg Design in Matlab/Simulink","source":"datacite","abstract":"Project in Matlab/Simulink - Symmetrical 6UPS Parallel Manipulator Digital Twin Based on Electromechanical Leg Design in Matlab/Simulink. Supplementary material for contribution - for review process (MDPI - Symmetry).","url":"https://doi.org/10.5281/zenodo.8197753","authors":["Bulej, Vladimír","Eberth, Manfred"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8197753","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.34726/hss.2023.103660","name":"Dynamic Deployment of Fault Detection Models - A Use Case of the Asset Administration Shell","source":"datacite","abstract":"Industrie 4.0 kann als Paradigmenwechsel im Bereich der industriellen Produktion gesehen werden, der zur Digitalisierung von Fertigungsprozessen führt. Zu diesem Zweck bietet das Konzept des digitalen Zwillings einen strukturierten Ansatz für den Austausch und die Abbildung von Daten in diesem Kontext. Hierzu zählen auch Sensordaten, die mittels maschinellen Lernens (ML) beispielsweise zur Erkennung von Fehlern in Produktionsprozessen genutzt werden können. ML-Modelle müssen jedoch bei Bedarf aktualisiert und anschließend produktiv eingesetzt werden. Allerdings mit der Einschränkung, dass Produktionssysteme zu diesem Zweck nicht einfach angehalten werden können. Deshalb müssen diese Aktualisierungen so durchgeführt werden, dass der Wechsel zwischen den Modellen ohne Unterbrechung der Produktionsprozesse erfolgen kann. Diese Arbeit zeigt einen Ansatz zur Integration eines ML-Modells zur Fehlererkennung in eine Verwaltungsschale (AAS), die eine standardisierte Implementierung eines digitalen Zwillings ist. Der Schwerpunkt liegt dabei auf der kontinuierlichen Bereitstellung aktualisierter Versionen dieses Modells während des Betriebs, ohne dass es zu Ausfallzeiten in den Produktionsprozessen kommt. Die wichtigsten Ergebnisse sind die Identifizierung von Anforderungen an eine dynamische Modellbereitstellungs- und Wechselstrategie auf der Grundlage einer Literaturrecherche und ein ML-Modell-Integrationskonzept für die AAS und eine prototypische Implementierung mit Eclipse BaSyx, um die identifizierten Bereitstellungsstrategien sowohl qualitativ als auch quantitativ bewerten zu können. Zu diesem Zweck wurde ein generisches Teilmodell basierend auf dem AAS-Metamodell entwickelt, das verschiedene Arten von ML-Modellen sowie Anwendungsszenarien unterstützen kann. Darüber hinaus wurden drei Bereitstellungsstrategien ermittelt, die einen Wechsel zwischen Modellversionen ohne Ausfallzeiten ermöglichen. Bei diesen Strategien, die im Prototyp implementiert wurden, handelt es sich um zwei Blue-Green Deployments und ein Rolling-Deployment-Konzept. Die entwickelten Konzepte und Ansätze wurden anhand des Prototyps veranschaulicht, um die Einsetzbarkeit und Eignung des Ansatzes zu verdeutlichen. Die Ergebnisse unterstreichen, dass es keine Einheitslösung gibt und dass die am besten geeignete Bereitstellungsstrategie vom jeweiligen Anwendungsfall abhängt. Darüber hinaus sind alle drei beschriebenen Bereitstellungsstrategien dem Basisansatz, einem manuellen Bereitstellungsansatz unter Verwendung des Recreate Deployment Patterns, überlegen. Sie übertreffen diesen sowohl bei der kriterienbasierten Bewertung als auch beim Vergleich der Ausführungszeiten.","url":"https://doi.org/10.34726/hss.2023.103660","authors":["Mailer, Dominik"],"tags":["Verwaltungsschale","Maschinelles Lernen","Modell-Bereitstellung","Fehlererkennung","Containerisierung","Blue-Green Deployment","Rolling Deployment","unterbrechungsfreie Bereitstellung"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.34726/hss.2023.103660","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8172340","name":"Data and Statistics for the SLR entitled \"Ontologies in Digital Twins: A Systematic Literature Review\"","source":"openalex","abstract":"Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled \"Ontologies in Digital Twins: A Systematic Literature Review\". The SLR will be submitted to Future Generation Computer System journal's Special Issue on Digital Twin for Future Networks and Emerging IoT Applications. It consists of a set of excel sheets that includes a list of reviewed articles and their analysis. A description of what each sheet contains is given below: Sheet Name Description Search Statistics List of research databases, search tools, search queries and number of gathered results. Unfiltered Paper List List of papers that are initially collected as a result of the paper identification phase. Removed Duplicates List of papers after removing duplicates Marked Non-relevants (Round 1) Marking papers as relevant or non-relevant based on titles, abstracts and skimming Marked Non-relevants (Round 2) Identification of relevant papers by exhaustive reading Final Table Final list of table with analysis results Statistics Statistics based on the analysis results Acknowledgement: This work has received support from The Dutch Research Council (NWO), in the scope of Digital Twin for Evolutionary Changes in water networks (DiTEC) project, file number 19454.","url":"https://doi.org/10.5281/zenodo.8172340","authors":["Karabulut, Erkan","Pileggi, Salvatore Flavio","Groth, Paul","Degeler, Viktoriya","Erkan Karabulut","Salvatore F. Pileggi","Paul Groth","Viktoriya Degeler"],"tags":["Digital Twin, Ontology, Knowledge Graphs, Semantic Web, Internet of Things","Statistics","Computer science","Information retrieval","Data science","Mathematics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8172340","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.5281/zenodo.8172341","name":"Data and Statistics for the SLR entitled \"Ontologies in Digital Twins: A Systematic Literature Review\"","source":"openalex","abstract":"Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled \"Ontologies in Digital Twins: A Systematic Literature Review\". The SLR will be submitted to Future Generation Computer System journal's Special Issue on Digital Twin for Future Networks and Emerging IoT Applications. It consists of a set of excel sheets that includes a list of reviewed articles and their analysis. A description of what each sheet contains is given below: Sheet Name Description Search Statistics List of research databases, search tools, search queries and number of gathered results. Unfiltered Paper List List of papers that are initially collected as a result of the paper identification phase. Removed Duplicates List of papers after removing duplicates Marked Non-relevants (Round 1) Marking papers as relevant or non-relevant based on titles, abstracts and skimming Marked Non-relevants (Round 2) Identification of relevant papers by exhaustive reading Final Table Final list of table with analysis results Statistics Statistics based on the analysis results Acknowledgement: This work has received support from The Dutch Research Council (NWO), in the scope of Digital Twin for Evolutionary Changes in water networks (DiTEC) project, file number 19454.","url":"https://doi.org/10.5281/zenodo.8172341","authors":["Karabulut, Erkan","Pileggi, Salvatore Flavio","Groth, Paul","Degeler, Viktoriya","Erkan Karabulut","Salvatore F. Pileggi","Paul Groth","Viktoriya Degeler"],"tags":["Digital Twin, Ontology, Knowledge Graphs, Semantic Web, Internet of Things","Systematic review","Statistics","Information retrieval","Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8172341","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.34726/4522","name":"Digital Twins in agriculture: challenges and opportunities for environmental sustainability","source":"datacite","abstract":"Food security, land degradation, climate change, and a growing population are interconnected challenges and key issues for sustainable agriculture. In this context, the Digital Twin (DT) is uniquely positioned to overcome these challenges and support the goals of sustainability. Through the use of state-of-the-art technologies, increased information availability can empower stakeholders to pursue sustainable objectives and production methods. However, if these benefits are to be fully leveraged, the potential negative technical and social–ecological effects of the technology must be assessed and mitigated. Therefore, an exploratory review is conducted, outlining the progress of current examples toward the aims of sustainable agriculture. Additionally, the social–ecological and technological dangers of the concept are investigated, culminating in a high-level roadmap that highlights necessary milestones required to support the open and sustainable development of DTs in agriculture.","url":"https://doi.org/10.34726/4522","authors":["Purcell, Warren","Neubauer, Thomas","Mallinger, Kevin"],"tags":["Digital Twin","Agriculture","Enviromental Sustainability"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.34726/4522","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2306.01772","name":"Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin","source":"datacite","abstract":"This paper discusses and explores the potential and relevance of recent developments in artificial intelligence (AI) and digital twins for health and well-being in low-resource African countries. We use the case of public health emergency response to disease outbreaks and epidemic control. There is potential to take advantage of the increasing availability of data and digitization to develop advanced AI methods for analysis and prediction. Using an AI systems perspective, we review emerging trends in AI systems and digital twins and propose an initial augmented AI system architecture to illustrate how an AI system can work with a 3D digital twin to address public health goals. We highlight scientific knowledge discovery, continual learning, pragmatic interoperability, and interactive explanation and decision-making as essential research challenges for AI systems and digital twins.","url":"https://doi.org/10.48550/arxiv.2306.01772","authors":["Moodley, Deshendran","Seebregts, Christopher"],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.2.0; I.2.1; J.3"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2306.01772","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8130890","name":"Digital Twin in Intelligent Transportation Systems","source":"datacite","abstract":"This study reviews the research works published in the last five years on Digital Twin (DT) technology for intelligent transportation systems, focusing on the use of DT in electromobility and autonomous vehicles. The review is carried out systematically, considering specific domains within intelligent transportation in which DT technology is applied in combination with Internet of Thing and 5G technologies. In addition, the paper discusses the current issues in electric vehicle services, such as tracking, monitoring, battery management systems, and connectivity, and how they can be addressed effectively through DT approaches.","url":"https://doi.org/10.5281/zenodo.8130890","authors":["Ali, Wasim","Roccotelli, Michele","Fanti, Maria Pia"],"tags":["Digital Twin","Electromobility","Big Data","5G","IoT","Autonomous Vehicles"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.8130890","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8130891","name":"Digital Twin in Intelligent Transportation Systems","source":"datacite","abstract":"This study reviews the research works published in the last five years on Digital Twin (DT) technology for intelligent transportation systems, focusing on the use of DT in electromobility and autonomous vehicles. The review is carried out systematically, considering specific domains within intelligent transportation in which DT technology is applied in combination with Internet of Thing and 5G technologies. In addition, the paper discusses the current issues in electric vehicle services, such as tracking, monitoring, battery management systems, and connectivity, and how they can be addressed effectively through DT approaches.","url":"https://doi.org/10.5281/zenodo.8130891","authors":["Ali, Wasim","Roccotelli, Michele","Fanti, Maria Pia"],"tags":["Digital Twin","Electromobility","Big Data","5G","IoT","Autonomous Vehicles"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.8130891","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8060969","name":"Digital Twin for Smart Manufacturing, A Review","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.5281/zenodo.8060969","authors":["Soori, Mohsen","Behrooz Arezoo","Dastres, Roza"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8060969","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8078678","name":"Digital Twin for Smart Manufacturing, A Review","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.5281/zenodo.8078678","authors":["Soori, Mohsen","Behrooz Arezoo","Dastres, Roza"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8078678","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8060970","name":"Digital Twin for Smart Manufacturing, A Review","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.5281/zenodo.8060970","authors":["Soori, Mohsen","Behrooz Arezoo","Dastres, Roza"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8060970","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8097065","name":"Digital Twin for Smart Manufacturing, A Review","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.5281/zenodo.8097065","authors":["Soori, Mohsen","Behrooz Arezoo","Dastres, Roza"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8097065","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.23546652.v2","name":"<strong>Digital Twin for Smart Manufacturing, A Review</strong>","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.6084/m9.figshare.23546652.v2","authors":["Soori, Mohsen","Arezoo, Behrooz","Dastres, Roza"],"tags":["CAD/CAM systems","Machining","Manufacturing management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.23546652.v2","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.23546652.v3","name":"<strong>Digital Twin for Smart Manufacturing, A Review</strong>","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.6084/m9.figshare.23546652.v3","authors":["Soori, Mohsen","Arezoo, Behrooz","Dastres, Roza"],"tags":["CAD/CAM systems","Machining","Manufacturing management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.23546652.v3","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.23546652.v1","name":"<strong>Digital Twin for Smart Manufacturing, A Review</strong>","source":"datacite","abstract":"A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimising the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.","url":"https://doi.org/10.6084/m9.figshare.23546652.v1","authors":["Soori, Mohsen","Arezoo, Behrooz","Dastres, Roza"],"tags":["CAD/CAM systems","Machining","Manufacturing management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.23546652.v1","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2202.06814","name":"Enhancing Next-Generation Extended Reality Applications with Coded Caching","source":"datacite","abstract":"The next evolutionary step in human-computer interfaces will bring forward immersive digital experiences that submerge users in a 3D world while allowing them to interact with virtual or twin objects. Accordingly, various collaborative extended reality (XR) applications are expected to emerge, imposing stringent performance requirements on the underlying wireless connectivity infrastructure. In this paper, we examine how novel multi-antenna coded caching (CC) techniques can facilitate high-rate low-latency communications and improve users' quality of experience (QoE) in our envisioned multi-user XR scenario. Specifically, we discuss how these techniques make it possible to prioritize the content relevant to wireless bottleneck areas while enabling the cumulative cache memory of the users to be utilized as an additional communication resource. In this regard, we first explore recent advancements in multi-antenna CC that facilitate the efficient use of distributed in-device memory resources. Then, we review how XR application requirements are addressed within the third-generation partnership project (3GPP) framework and how our envisioned XR scenario relates to the foreseen use cases. Finally, we identify new challenges arising from integrating CC techniques into multi-user XR scenarios and propose novel solutions to address them in practice.","url":"https://doi.org/10.48550/arxiv.2202.06814","authors":["Salehi, MohammadJavad","Hooli, Kari","Hulkkonen, Jari","Tolli, Antti"],"tags":["Human-Computer Interaction (cs.HC)","Information Theory (cs.IT)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2202.06814","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2301.01148","name":"MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn","source":"datacite","abstract":"The decarbonization of buildings presents new challenges for the reliability of the electrical grid as a result of the intermittency of renewable energy sources and increase in grid load brought about by end-use electrification. To restore reliability, grid-interactive efficient buildings can provide flexibility services to the grid through demand response. Residential demand response programs are hindered by the need for manual intervention by customers. To maximize the energy flexibility potential of residential buildings, an advanced control architecture is needed. Reinforcement learning is well-suited for the control of flexible resources as it is able to adapt to unique building characteristics compared to expert systems. Yet, factors hindering the adoption of RL in real-world applications include its large data requirements for training, control security and generalizability. Here we address these challenges by proposing the MERLIN framework and using a digital twin of a real-world 17-building grid-interactive residential community in CityLearn. We show that 1) independent RL-controllers for batteries improve building and district level KPIs compared to a reference RBC by tailoring their policies to individual buildings, 2) despite unique occupant behaviours, transferring the RL policy of any one of the buildings to other buildings provides comparable performance while reducing the cost of training, 3) training RL-controllers on limited temporal data that does not capture full seasonality in occupant behaviour has little effect on performance. Although, the zero-net-energy (ZNE) condition of the buildings could be maintained or worsened as a result of controlled batteries, KPIs that are typically improved by ZNE condition (electricity price and carbon emissions) are further improved when the batteries are managed by an advanced controller.","url":"https://doi.org/10.48550/arxiv.2301.01148","authors":["Nweye, Kingsley","Sankaranarayanan, Siva","Nagy, Zoltan"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2301.01148","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2306.02369","name":"From multiscale biophysics to digital twins of tissues and organs: future opportunities for in silico pharmacology","source":"datacite","abstract":"With many advancements in in silico biology in recent years, the paramount challenge is to translate the accumulated knowledge into exciting industry partnerships and clinical applications. Achieving models that characterize the link of molecular interactions to the activity and structure of a whole organ are termed multiscale biophysics. Historically, the pharmaceutical industry has worked well with in silico models by leveraging their prediction capabilities for drug testing. However, the needed higher fidelity and higher resolution of models for efficient prediction of pharmacological phenomenon dictates that in silico approaches must account for the verifiable multiscale biophysical phenomena, as a spatial and temporal dimension variation for different processes and models. The collection of different multiscale models for different tissues and organs can compose digital twin solutions towards becoming a service for researchers, clinicians, and drug developers. Our paper has two main goals: 1) To clarify to what extent detailed single- and multiscale modeling has been accomplished thus far, we provide a review on this topic focusing on the biophysics of epithelial, cardiac, and brain tissues; 2) To discuss the present and future role of multiscale biophysics in in silico pharmacology as a digital twin solution by defining a roadmap from simple biophysical models to powerful prediction tools. Digital twins have the potential to pave the way for extensive clinical and pharmaceutical usage of multiscale models and our paper shows the basic fundamentals and opportunities towards their accurate development enabling the quantum leaps of future precise and personalized medical software.","url":"https://doi.org/10.48550/arxiv.2306.02369","authors":["Barros, Michael Taynnan","Paci, Michelangelo","Tervonen, Aapo","Passini, Elisa","Koivumäki, Jussi","Hyttinen, Jari","Lenk, Kerstin"],"tags":["Quantitative Methods (q-bio.QM)","FOS: Biological sciences","FOS: Biological sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2306.02369","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8015756","name":"Laser Tracker Application in the Hydro Industry: A Review of Current Trends and Future Prospects","source":"datacite","abstract":"- Laser trackers have emerged as a powerful tool for accurate and precise measurement in a variety of industries, including hydro. We provide a comprehensive review of the current trends and future prospects of laser tracker applications in the hydro industry in this research paper. We begin by discussing the fundamentals of laser trackers, such as their operating principles and key features. We then look at the various applications of laser trackers in the hydro industry, such as dam monitoring, turbine alignment, asbuilt verification, and hydro component inspection. We examine the most recent advancements and innovations in laser tracker technology, such as increased accuracy, portability, and integration with other measurement tools. In addition, we discuss the advantages and disadvantages of using laser trackers in the hydro industry, such as increased efficiency, reduced downtime, and improved safety, as well as limitations such as environmental conditions, line of sight, and cost considerations. Finally, we talk about the future of laser tracker applications in the hydro industry, including potential growth areas like digital twin technology, augmented reality, and automation. We conclude with research recommendations and emphasis the importance of laser trackers as a valuable tool for improving measurement accuracy and efficiency in the hydro industry.","url":"https://doi.org/10.5281/zenodo.8015756","authors":["Kumar, Rajesh","Bhatt, Aditya Narayan"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8015756","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.8015757","name":"Laser Tracker Application in the Hydro Industry: A Review of Current Trends and Future Prospects","source":"datacite","abstract":"- Laser trackers have emerged as a powerful tool for accurate and precise measurement in a variety of industries, including hydro. We provide a comprehensive review of the current trends and future prospects of laser tracker applications in the hydro industry in this research paper. We begin by discussing the fundamentals of laser trackers, such as their operating principles and key features. We then look at the various applications of laser trackers in the hydro industry, such as dam monitoring, turbine alignment, asbuilt verification, and hydro component inspection. We examine the most recent advancements and innovations in laser tracker technology, such as increased accuracy, portability, and integration with other measurement tools. In addition, we discuss the advantages and disadvantages of using laser trackers in the hydro industry, such as increased efficiency, reduced downtime, and improved safety, as well as limitations such as environmental conditions, line of sight, and cost considerations. Finally, we talk about the future of laser tracker applications in the hydro industry, including potential growth areas like digital twin technology, augmented reality, and automation. We conclude with research recommendations and emphasis the importance of laser trackers as a valuable tool for improving measurement accuracy and efficiency in the hydro industry.","url":"https://doi.org/10.5281/zenodo.8015757","authors":["Kumar, Rajesh","Bhatt, Aditya Narayan"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.8015757","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7938109","name":"Digital Twin Technology for Tool Condition Monitoring: A Review of Recent Research","source":"datacite","abstract":"This research review article examines the use of Digital Twin technology (DT) in Tool Condition Monitoring (TCM). DT is a powerful technology that enables the creation of an exact digital replica of real-world entities, such as machines and tools, providing an integrated representation of various physical and virtual components. By combining real-time data with digital models of the tools, DT can be used to monitor tool condition and detect potential issues before they become serious. This review article surveys recent research on the use of DT in TCM and discusses the challenges that need to be addressed in order to make DT a viable solution for industrial tool monitoring. It also provides insight into future directions for research in this field. The results of this review suggest that DT has great potential to revolutionize tool monitoring in the manufacturing industry.","url":"https://doi.org/10.5281/zenodo.7938109","authors":["S. Ganeshkumar"],"tags":["DT Technology","Real-Time Data","Digital Models"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7938109","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7928278","name":"Applications of 3D Printing in Prosthodontics: A Review","source":"datacite","abstract":"3D Printing is a new emerging technology which involves Computer Aided Designing and Computer Aided Manufacturing (CAD/CAM) of 3-Dimensional objects. In the recent few years there is increased use of digital technologies in healthcare sector. The 3D printing technology first used in dentistry to produce dental implants. Computer Aided Designing and Computer Aided Manufacturing (CAD/CAM) involves subtractive and additive manufacturing of object. This review article aims to discuss various types of computer aided additive manufacturing technology with their advantages and disadvantages.","url":"https://doi.org/10.5281/zenodo.7928278","authors":["Kritika Diwan","Rathee, Manu","Sarthak Singh Tomar","Singh, Sandeep","Divakar S","Chahal, Sujata"],"tags":["3D printing, Digitalization, Bioprinting, Additive Manufacturing."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7928278","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7928279","name":"Applications of 3D Printing in Prosthodontics: A Review","source":"datacite","abstract":"3D Printing is a new emerging technology which involves Computer Aided Designing and Computer Aided Manufacturing (CAD/CAM) of 3-Dimensional objects. In the recent few years there is increased use of digital technologies in healthcare sector. The 3D printing technology first used in dentistry to produce dental implants. Computer Aided Designing and Computer Aided Manufacturing (CAD/CAM) involves subtractive and additive manufacturing of object. This review article aims to discuss various types of computer aided additive manufacturing technology with their advantages and disadvantages.","url":"https://doi.org/10.5281/zenodo.7928279","authors":["Kritika Diwan","Rathee, Manu","Sarthak Singh Tomar","Singh, Sandeep","Divakar S","Chahal, Sujata"],"tags":["3D printing, Digitalization, Bioprinting, Additive Manufacturing."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7928279","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2305.03234","name":"Review and Assessment of Digital Twin--Oriented Social Network Simulators","source":"datacite","abstract":"The ability to faithfully represent real social networks is critical from the perspective of testing various what-if scenarios which are not feasible to be implemented in a real system as the system's state would be irreversibly changed. High fidelity simulators allow one to investigate the consequences of different actions before introducing them to the real system. For example, in the context of social systems, an accurate social network simulator can be a powerful tool used to guide policy makers, help companies plan their advertising campaigns or authorities to analyse fake news spread. In this study we explore different Social Network Simulators (SNSs) and assess to what extent they are able to mimic the real social networks. We conduct a critical review and assessment of existing Social Network Simulators under the Digital Twin-Oriented Modelling framework proposed in our previous study. We subsequently extend one of the most promising simulators from the evaluated ones, to facilitate generation of social networks of varied structural complexity levels. This extension brings us one step closer to a Digital Twin Oriented SNS (DT Oriented SNS). We also propose an approach to assess the similarity between real and simulated networks with the composite performance indexes based on both global and local structural measures, while taking runtime of the simulator as an indicator of its efficiency. We illustrate various characteristics of the proposed DT Oriented SNS using a well known Karate Club network as an example. While not considered to be of sufficient complexity, the simulator is intended as one of the first steps on a journey towards building a Digital Twin of a social network that perfectly mimics the reality.","url":"https://doi.org/10.48550/arxiv.2305.03234","authors":["Wen, Jiaqi","Gabrys, Bogdan","Musial, Katarzyna"],"tags":["Social and Information Networks (cs.SI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2305.03234","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.18154/rwth-2023-02754","name":"Messunsicherheit bei der Messung aerodynamisch relevanter Bliskmerkmale durch Informationsfusion","source":"datacite","abstract":"Despite the setback, which aviation suffered in the recent past due to the coronavirus pandemic, air transport remains the only means of transport capable of covering long distances quickly. The fact that the engines used, in this case turbines, have a negative life cycle assessment, as well as the lack of a more efficient technology that could replace the kerosene currently used, means that large aircraft will have to continue to use combustion as an energy source in a window of about 15 to 20 years. Despite the positive historical record of developing new turbines such as turbo-fan and gear-fan, which have significantly reduced the average fuel burn per passenger or mass carried by increasing the bypass ratio (Fan- core engine ratio), this technology still has an energy balance that leaves potential for improvement. New prototypes of single-wing and V-wing aircraft are being tested that would allow an increase in propeller diameter (Fan) to core engine ratio (one propeller spinning slower and one core engine spinning at a high RPM) and thus a direct increase in bypass. But even these prototypes need time before they can replace models with turbines mounted under the wings. Therefore, reducing the length, diameter and number of stages of the core engines seems to be the best way to optimize the new generation of turbofans at the moment. Blisks (Blade Integrated Disk) are components used in the high compression area and are responsible for increasing the pressure of the air before it reaches the combustion chamber. However, despite the above requirements, this increase in pressure and consequently temperature can only be achieved by modifying the alloys used and new, more complex and aerodynamically efficient geometries. This represents a challenge for design, manufacturing and quality control. Measuring geometric requirements of blisks with tactile sensors on coordinate measuring machines (CMMs) is common practice. However, morphological effects typically cause errors in the compensation of the sensing ball as the sensor moves over complex geometries, primarily around the edge of the blade. Errors in the shape, position, effect of the sensing ball, and measurement strategy typically occur superimposed, making a differentiation of individual effects practically unfeasible. By using a digital twin, it is possible to simulate some of the above sources of error. With the help of a CMM simulator, an estimation of these effects, by introducing known deviations into the blisk CAD model, is possible. Understanding these morphological effects is an important step towards smart connected manufacturing. It also forms the basis for the comparison of different measurement principles, as well as the implementation of metrological traceability, which is an important point of quality assurance and measurement process capability. In this paper, as a first step, the author performs a historical review of the design features relevant to the aerodynamic control and efficient operation of compressor blades in order to understand the reasons and the measurement systems available at that time. With this information, a review of the state of the art is conducted, selecting the measurement systems of current industrial practice (CMM and SLP), which are used to systematically and methodically investigate the sources of uncertainty in the measurement. The reduction of the systematic components of the measurement uncertainty, caused by the incorrect position of the real compressor blade in relation to its CAD model, can be minimized by the fusion of the above mentioned measurement systems. Finally, the author compares the obtained results based on a standardized error of 95\\% and thus can answer the research questions defined in this thesis.","url":"https://doi.org/10.18154/rwth-2023-02754","authors":["Schmidt, Ânderson"],"tags":["620","Blisk","Koordinatenmessgerät","Luftfahrt","Messunsicherheit","Streifenlichtprojektion"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18154/rwth-2023-02754","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.15488/13463","name":"Classification of product data for a Digital Product Passport in the manufacturing industry","source":"datacite","abstract":"The European Commission set out the goal of carbon neutrality by 2050, which shall be achieved by fostering the twin transition - sustainability through digitalization. A keystone in this transition is the implementation of a prospering Circular Economy (CE). However, product information required to establish a flourishing CE is hardly available or even accessible. The Digital Product Passport (DPP) offers a solution to that problem but in the current discussion, two separate topics are focused on: its architecture and its application on batteries. The content of the DPP has not been an essential part of the discussion, although access to high-quality data about a product's state, composition and ecological footprint is required to enable sustainable decision-making. Therefore, this paper presents a classification of product data for circularity in the manufacturing industry to emphasize the discussion about the DPP's content. Developed through a systematic literature review combined with a case-study-research based on common operational information systems, the classification comprises three levels with 62 data points in four main categories: (1) Product information, (2) Utilization information, (3) Value chain information and (4) Sustainability information. In this paper, the potential content structure of a DPP is demonstrated for a use case in the machinery sector. The contribution to the science and operations community is twofold: Building a guideline for DPP developers that require scientific input from available real-world data points as well as motivating manufacturers to share the presented data points enabling a circular product information management.","url":"https://doi.org/10.15488/13463","authors":["Stratmann, Lukas","Hoeborn, Gerrit","Pahl, Christoph","Schuh, Günther"],"tags":["Konferenzschrift","Circular Economy","Circular Ecosystems","Digital Product Passport","Information modeling","Circular product management","Information systems","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/13463","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48336/q7sr-zb92","name":"Development of a digital twin based real-time drilling optimization and control system","source":"datacite","abstract":"The Oil and Gas industry suffers from a unique problem. The activity of the industry, and subsequently the retention of highly qualified personnel is closely tied to the oil price. Economic factors that are beyond the control of operators, govern the experience level of employees in all levels of the industry. The recent development of digital technologies presents an excellent opportunity for the industry to overcome the loss of experience accompanied by every downturn, and the increased rate of incidents accompanying every resurgence. This thesis consists of four articles discussing two different topics. These include i) developing a digital twin-based drilling optimization and control system, and ii) developing laboratory facilities for validating field scale experiments. The first article presents the theoretical development of a digital twin-based control system for drilling rigs. It starts with how the industry evolved the concepts of integrated operations, and real time support centers, and follows by how to construct the proposed digital-twin-based automation solution. The second article expands on a single component of the digital twin-based system. It discusses the development of an auto driller system based on optimal control theory. The article consists of an extensive literary review of drilling optimization, followed by developing a modified version of mechanical specific energy to be used as an objective function, development of a simple drilling model to be used as part of the controller, and development of a model predictive controller that optimizes the selection of drilling parameters. The model predictive controller was shown to be successful through simulations but had some performance limitations due to the complexity of the bit rock coupling term in the drilling model. The third and fourth articles discuss the development of a hardware in the loop drilling simulator. The articles describe the design of the system, the development of its operating systems, and experimental validation of its performance. The articles also discuss the development of Bond Graph models that were used for planning of experiments and components of the simulators control system. The thesis is concluded by recommendations on how to improve the proposed automation system and expand the capabilities of the simulator.","url":"https://doi.org/10.48336/q7sr-zb92","authors":["Said, Mohammed Mokhtar"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48336/q7sr-zb92","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2301.13350","name":"A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects","source":"datacite","abstract":"By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin is promised to promote an intelligent, predictive, and optimized modern city. Via interconnecting massive physical entities and their virtual twins with inter-twin and intra-twin communications, the Internet of digital twins (IoDT) enables free data exchange, dynamic mission cooperation, and efficient information aggregation for composite insights across vast physical/virtual entities. However, as IoDT incorporates various cutting-edge technologies to spawn the new ecology, severe known/unknown security flaws and privacy invasions of IoDT hinders its wide deployment. Besides, the intrinsic characteristics of IoDT such as \\emph{decentralized structure}, \\emph{information-centric routing} and \\emph{semantic communications} entail critical challenges for security service provisioning in IoDT. To this end, this paper presents an in-depth review of the IoDT with respect to system architecture, enabling technologies, and security/privacy issues. Specifically, we first explore a novel distributed IoDT architecture with cyber-physical interactions and discuss its key characteristics and communication modes. Afterward, we investigate the taxonomy of security and privacy threats in IoDT, discuss the key research challenges, and review the state-of-the-art defense approaches. Finally, we point out the new trends and open research directions related to IoDT.","url":"https://doi.org/10.48550/arxiv.2301.13350","authors":["Wang, Yuntao","Su, Zhou","Guo, Shaolong","Dai, Minghui","Luan, Tom H.","Liu, Yiliang"],"tags":["Cryptography and Security (cs.CR)","Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2301.13350","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7743376","name":"Digital Twin Based Battery Management System – A Review","source":"datacite","abstract":"A battery management system (BMS) is an electronic regulator that keeps an eye on the vital operational parameters during charging and discharging of rechargeable batteries, such as voltages, currents, and the internal and external temperature of the battery. When any of the parameters, such as overcharge, undercharge, high temperature, or fall outside of limitations, the monitoring circuits would generally provide inputs to protection devices that would disconnect the battery from the load or charger. Anessential part of electric and hybrid vehicles is the batterymanagement system (BMS). The BMS's goal is to ensure dependable and secure battery operation. State monitoring and evaluation, charge control, and cell balancing are features that have been developed to preserve the battery's dependability andsafety in BMS. The study on BMS that has been done in design and analysis is covered in this paper.","url":"https://doi.org/10.5281/zenodo.7743376","authors":["Bhushan Chavan","Sakpal, Rohan Pramod","Mayuresh Shubhash","Anagha Pradeep Kamble","Chirag Jitendra Keny"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7743376","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7743377","name":"Digital Twin Based Battery Management System – A Review","source":"datacite","abstract":"A battery management system (BMS) is an electronic regulator that keeps an eye on the vital operational parameters during charging and discharging of rechargeable batteries, such as voltages, currents, and the internal and external temperature of the battery. When any of the parameters, such as overcharge, undercharge, high temperature, or fall outside of limitations, the monitoring circuits would generally provide inputs to protection devices that would disconnect the battery from the load or charger. Anessential part of electric and hybrid vehicles is the batterymanagement system (BMS). The BMS's goal is to ensure dependable and secure battery operation. State monitoring and evaluation, charge control, and cell balancing are features that have been developed to preserve the battery's dependability andsafety in BMS. The study on BMS that has been done in design and analysis is covered in this paper.","url":"https://doi.org/10.5281/zenodo.7743377","authors":["Bhushan Chavan","Sakpal, Rohan Pramod","Mayuresh Shubhash","Anagha Pradeep Kamble","Chirag Jitendra Keny"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7743377","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7705188","name":"ASHVIN Newsletter#5","source":"datacite","abstract":"The ASHVIN project has released a fresh newsletter gathering news and updates from the past four months of the project - and many things have happened! Our team had the 2nd project review with the European Commission guiding us towards the final project year, and then the plans were discussed in the 5th Consortium meeting in Greece. We have organised several online workshops and webinars contributing to the research on Digital Twin and its exploitation. More importantly, ASHVIN published an open call to onboard external construction projects in its digital twin platform. Discover this news and more!","url":"https://doi.org/10.5281/zenodo.7705188","authors":["Marill, Mona","Cediel, Natalia"],"tags":["Digital Twin","Construction 4.0","Digital transformation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7705188","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7705189","name":"ASHVIN Newsletter#5","source":"datacite","abstract":"The ASHVIN project has released a fresh newsletter gathering news and updates from the past four months of the project - and many things have happened! Our team had the 2nd project review with the European Commission guiding us towards the final project year, and then the plans were discussed in the 5th Consortium meeting in Greece. We have organised several online workshops and webinars contributing to the research on Digital Twin and its exploitation. More importantly, ASHVIN published an open call to onboard external construction projects in its digital twin platform. Discover this news and more!","url":"https://doi.org/10.5281/zenodo.7705189","authors":["Marill, Mona","Cediel, Natalia"],"tags":["Digital Twin","Construction 4.0","Digital transformation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7705189","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7548016","name":"Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review","source":"datacite","abstract":"This database contains all the bibliographic information about the 8673 records found after applying the Search Strategy used for the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review. Such strategy consisted on using seven initial keywords and similar terms of interest (namely: bridge and bridges, etc.): Bridge. Digital twin. Bridge information modelling. Finite elements. Bridge health monitoring. Anomaly detection algorithm. Cultural heritage. Six initial queries were done combining the first keyword with the rest of them: bridge* AND \"digital twin*\" bridge* AND (BrIM OR \"bridge information model*\") bridge* AND (FEM OR FEA OR \"finite element method*\" OR \"finite element analy*\") bridge* AND (\"bridge health monitoring\" OR \"structural health monitoring\") bridge* AND (ADA OR \"anomaly detection algorithm*\") bridge* AND (\"cultural heritage\" OR \"monument* bridge*\" OR \"old bridge*\" OR \"ancient bridge*\" OR \"historic* bridge*\") As a first screening step, the combination of these 6 initial searches was done to obtain relevant works containing at least three of the main keywords of interest: #1 AND #2 #1 AND #3 #1 AND #4 #1 AND #5 #1 AND #6 #2 AND #3 #2 AND #4 #2 AND #5 #2 AND #6 #3 AND #4 #3 AND #5 #3 AND #6 #4 AND #5 #4 AND #6 #5 AND #6 All records found in Scopus where downloaded both in .ris and .csv format and are included in this database. The search was conducted on 10/12/2022. Note: Searches 10, 14, 17 and 21 did not return any records.","url":"https://doi.org/10.5281/zenodo.7548016","authors":["Jiménez Rios, Alejandro","Plevris, Vagelis","Nogal, Maria"],"tags":["Bridges","Digital Twins","Bridge Information Modelling","Finite Elements","Bridge Health Monitoring","Anomaly Detection Algorithms","Cultural Heritage"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7548016","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2212.12242","name":"Towards Transportation Digital Twin Systems for Traffic Safety and Mobility Applications: A Review","source":"datacite","abstract":"Digital twin (DT) systems aim to create virtual replicas of physical objects that are updated in real time with their physical counterparts and evolve alongside the physical assets throughout its lifecycle. Transportation systems are poised to significantly benefit from this new paradigm. In particular, DT technology can augment the capabilities of intelligent transportation systems. However, the development and deployment of networkwide transportation DT systems need to take into consideration the scale and dynamic nature of future connected and automated transportation systems. Motivated by the need of understanding the requirements and challenges involved in developing and implementing such systems, this paper proposes a hierarchical concept for a Transportation DT (TDT) system starting from individual transportation assets and building up to the entire networkwide TDT. A reference architecture is proposed for TDT systems that could be used as a guide in developing TDT systems at any scale within the presented hierarchical concept. In addition, several use cases are presented based upon the reference architecture which illustrate the utility of a TDT system from transportation safety, mobility and environmental applications perspective. This is followed by a review of current studies in the domain of TDT systems. Finally, the critical challenges and promising future research directions in TDT are discussed to overcome existing barriers to realize a safe and operationally efficient connected and automated transportation systems.","url":"https://doi.org/10.48550/arxiv.2212.12242","authors":["Irfan, Muhammad Sami","Dasgupta, Sagar","Rahman, Mizanur"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2212.12242","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2212.07722","name":"Assessing the Maturity of Digital Twinning Solutions for Ports","source":"datacite","abstract":"Ports are striving for innovative technological solutions to cope with the increasing growth in demand of goods transport, while at the same time improving their environmental footprint. An emerging technology that has the potential to substantially increase the effectiveness of the multifaceted and interconnected port processes is that of digital twins. Innovation-leading ports recognizing the potential of twinning have already started working on it. However, since there is no clear consensus on what a digital twin of a complex system comprises and how it should be designed, deployed digital twin solutions for ports often differ significantly. This article addresses this issue by initially identifying three core aspect underpinning digital twins of complex systems, such as ports, and outlining five successive maturity levels based on these aspects' instantiation. These identified aspects and the derived maturity levels are then used to examine real-world cases by critically evaluating existing digital twinning solutions in the port of Singapore, the Mawan port of Shanghai, and that of Rotterdam. These being three of the world's innovation-leading ports, we naturally find in them most of the identified core aspects to be in line with their twinning implementation, which has reached, in all three, a higher level of maturity. Although, our work on maturity levels and core aspects can provide a guideline for designing and benchmarking future digital twinning solutions for ports, the capacity for innovation via twinning, even in the port domain, is highly contextual with key paragon being the availability of financial and technical resources.","url":"https://doi.org/10.48550/arxiv.2212.07722","authors":["Klar, Robert","Fredriksson, Anna","Angelakis, Vangelis"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2212.07722","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2212.05937","name":"Human Digital Twin: A Survey","source":"datacite","abstract":"Digital twin has recently attracted growing attention, leading to intensive research and applications. Along with this, a new research area, dubbed as \"human digital twin\" (HDT), has emerged. Similar to the conception of digital twin, HDT is referred to as the replica of a physical-world human in the digital world. Nevertheless, HDT is much more complicated and delicate compared to digital twins of any physical systems and processes, due to humans' dynamic and evolutionary nature, including physical, behavioral, social, physiological, psychological, cognitive, and biological dimensions. Studies on HDT are limited, and the research is still in its infancy. In this paper, we first examine the inception, development, and application of the digital twin concept, providing a context within which we formally define and characterize HDT based on the similarities and differences between digital twin and HDT. Then we conduct an extensive literature review on HDT research, analyzing underpinning technologies and establishing typical frameworks in which the core HDT functions or components are organized. Built upon the findings from the above work, we propose a generic architecture for the HDT system and describe the core function blocks and corresponding technologies. Following this, we present the state of the art of HDT technologies and applications in the healthcare, industry, and daily life domain. Finally, we discuss various issues related to the development of HDT and point out the trends and challenges of future HDT research and development.","url":"https://doi.org/10.48550/arxiv.2212.05937","authors":["Lin, Yujia","Chen, Liming","Ali, Aftab","Nugent, Christopher","Ian, Cleland","Li, Rongyang","Gao, Dazhi","Wang, Hang","Wang, Yajie","Ning, Huansheng"],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2212.05937","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2301.09574","name":"Digital Twins for Marine Operations: A Brief Review on Their Implementation","source":"datacite","abstract":"While the concept of a digital twin to support maritime operations is gaining attention for predictive maintenance, real-time monitoring, control, and overall process optimization, clarity on its implementation is missing in the literature. Therefore, in this review we show how different authors implemented their digital twins, discuss our findings, and finally give insights on future research directions.","url":"https://doi.org/10.48550/arxiv.2301.09574","authors":["Zocco, Federico","Wang, Hsueh-Cheng","Van, Mien"],"tags":["Systems and Control (eess.SY)","Machine Learning (cs.LG)","Software Engineering (cs.SE)","Dynamical Systems (math.DS)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2301.09574","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2302.03593","name":"A Systematic Review on Human Modeling: Digging into Human Digital Twin Implementations","source":"datacite","abstract":"Human Digital Twins (HDTs) are digital replicas of humans that either mirror a complete human body, some parts of it as can be organs, flows, cells, or even human behaviors. An HDT is a human specific replica application inferred from the digital twin (DT) manufacturing concept, defined as a technique that creates digital replicas of physical systems or processes aimed at optimizing their performance and supporting more accurate decision-making processes. The main goal of this paper is to provide readers with a comprehensive overview of current efforts in the HDT field, by browsing its basic concepts, differences with DTs, existing developments, and the distinct areas of application. The review methodology includes an exhaustive review of scientific literature, patents, and industrial initiatives, as well as a discussion about ongoing and foreseen HDT research activity, emphasizing its potential benefits and limitations.","url":"https://doi.org/10.48550/arxiv.2302.03593","authors":["Pascual, Heribert","Bruin, Xavi Masip","Alonso, Albert","Cerdà, Judit"],"tags":["Other Computer Science (cs.OH)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2302.03593","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.21941033.v2","name":"Repository: Digital twins along the product lifecycle : a systematic literature review of applications in manufacturing","source":"datacite","abstract":"This systematic literature review of Digital Twin applications in manufacturing was carried out to identify current trends of applications of the digital twin concept in the literature under two main dimensions: its nature regarding the interaction structure between digital and physical objects, but also its applications, along the product lifecycle. The publications selection was based on the presence in this of a case of application of a digital twin with a focus in the Manufacturing sector. Within this review, 188 scientific papers were compiled and manually analyzed. In this repository is available the analysis table for this review. The data in this repository is available in three different table formats to facilitate its accessiblity. Along with this data are the PRISMA checklist and flow diagram relatives to this systematic literature review.","url":"https://doi.org/10.6084/m9.figshare.21941033.v2","authors":["Pronost, Guillaume"],"tags":["Electronic device and system performance evaluation, testing and simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.21941033.v2","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.21941033","name":"Repository: Digital twins along the product lifecycle : a systematic literature review of applications in manufacturing","source":"datacite","abstract":"This systematic literature review of Digital Twin applications in manufacturing was carried out to identify current trends of applications of the digital twin concept in the literature under two main dimensions: its nature regarding the interaction structure between digital and physical objects, but also its applications, along the product lifecycle. The publications selection was based on the presence in this of a case of application of a digital twin with a focus in the Manufacturing sector. Within this review, 188 scientific papers were compiled and manually analyzed. In this repository is available the analysis table for this review. The data in this repository is available in three different table formats to facilitate its accessiblity. Along with this data are the PRISMA checklist and flow diagram relatives to this systematic literature review.","url":"https://doi.org/10.6084/m9.figshare.21941033","authors":["Pronost, Guillaume","Camargo, Mauricio","Mayer, Frédérique","Dupont, Laurent"],"tags":["Electronic device and system performance evaluation, testing and simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.21941033","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.21941033.v1","name":"Repository: Digital twins along the product lifecycle : a systematic literature review of applications in manufacturing","source":"datacite","abstract":"This systematic literature review of Digital Twin applications in manufacturing was carried out to identify current trends of applications of the digital twin concept in the literature under two main dimensions: its nature regarding the interaction structure between digital and physical objects, but also its applications, along the product lifecycle. The publications selection was based on the presence in this of a case of application of a digital twin with a focus in the Manufacturing sector. Within this review, 188 scientific papers were compiled and manually analyzed. In this repository is available the analysis table for this review. The data in this repository is available in three different table formats to facilitate its accessiblity.","url":"https://doi.org/10.6084/m9.figshare.21941033.v1","authors":["Pronost, Guillaume"],"tags":["Electronic device and system performance evaluation, testing and simulation"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.21941033.v1","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7576543","name":"Water-Smart Management of Bathing Waters via Digitalisation - Challenges and Opportunities","source":"datacite","abstract":"The Workshop “Digitalization of Bathing Water Management” organized by Water Europe (WE), together with the Horizon 2020 project digital-water.city, the EU-LIFE project iBathWater and the Synergea project took place online on the 5th of April. It was moderated by Pascale Rouault, KWB Department Leader urban systems, Co-Leader of Water Europe’s Working Group Water &amp; Zero Pollution. The objectives of the workshop were to: • Draw concrete policy recommendations for the ongoing revision of the Bathing Water Directive (BWD), • Explore the benefits of digital innovations such as online sensors, machine learning, processbased models and mobile apps for managing microbial safety of bathing water sites, • Promote an open-source data-driven early-warning system, which is currently developed within digital-water.city. Status of evaluation of Bathing Directive Sylvia Bartolini, Head of Unit DG ENV.C2 Marine Environment &amp; Water Industry, European Commission (EC), who is in charge of the revision of the Bathing Water Directive (BWD), and Maja Dorota Feder, Policy Assistant, Clean Water Services, DG ENV, EC explained the BWD evaluation. The applied ‘back-toback’ evaluation together with the impact assessment consists of evaluating all aspects at once with one public consultation. As Sylvia Bartolini said, “This Workshop could not have been organised at a better timing for [them] because [they] are at the stage of evaluating the directive”. It must be examined if it has met its objectives of protecting the environment and public health, and if it is still fit for purpose in the current political context of the Green Deal and the Zero Pollution Action Plan. The focus is put on different elements, including the detection of newly emerged harmful substances, better information for the public as well as digitalisation, to find the best practices to achieve the objectives. The BWD is revised in parallel to the Urban Wastewater Treatment Directive, which are closely linked Which water-smart drivers must be included in the BWD? Loïc Charpentier, Innovative Water Policy Manager, Water Europe, stressed the recommendations of the innovative water eco-system to make the BWD water-smart: • Reinforce public health through robust and frequent monitoring and clarification, • Be aligned with the latest state of research, technology &amp; innovation, • Encourage the development of an inclusive management of bathing water, • Encourage the use of digital tools for bathing water-smart management • Promote the use of grey and green infrastructure and draw on synergies with other waterrelated legislation. Two examples of digital solutions: Paris and Berlin Jean-Pierre Tabuchi, Technical Advisor at the Territorial Strategy Direction and Sofia Housni, Project Manager at the Innovation Direction SIAAP, Greater Paris Sanitation Authority, presented several digital solutions developed, deployed, and tested in the context of bathing sites management in the region of Paris. It includes an early warning system, a deterministic model PROSE, and the monitoring device ALERT V2. Sebastian Hoppe, Group Leader and Acting Head of Unit for Water Hygiene and Environmental Health Protection, Surveillance and Epidemiology of Infectious Diseases, Regional Office for Health &amp; Social Affairs Berlin (LAGeSo), highlighted the challenges, benefits and outlook of bathing water-smart management in Berlin. The early warning system facilitatesthe management and improves considerably the level of services for health protection. Three examples of monitoring solutions Three examples demonstrated that online monitoring is possible, accurate and robust and they should be considered by the new Bathing Water Directive. • Miguel Gillon-Ritz, Head of Unit Large water cycle and water quality, Water and Sanitation Department, City of Paris presented Coli Minder Technology. • Dan Angelescu, CEO and R&amp;D Director, Fluidion, explained a fully automated in-situ microbiology management using A","url":"https://doi.org/10.5281/zenodo.7576543","authors":["Rouault, Pascale"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7576543","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7576544","name":"Water-Smart Management of Bathing Waters via Digitalisation - Challenges and Opportunities","source":"datacite","abstract":"The Workshop “Digitalization of Bathing Water Management” organized by Water Europe (WE), together with the Horizon 2020 project digital-water.city, the EU-LIFE project iBathWater and the Synergea project took place online on the 5th of April. It was moderated by Pascale Rouault, KWB Department Leader urban systems, Co-Leader of Water Europe’s Working Group Water &amp; Zero Pollution. The objectives of the workshop were to: • Draw concrete policy recommendations for the ongoing revision of the Bathing Water Directive (BWD), • Explore the benefits of digital innovations such as online sensors, machine learning, processbased models and mobile apps for managing microbial safety of bathing water sites, • Promote an open-source data-driven early-warning system, which is currently developed within digital-water.city. Status of evaluation of Bathing Directive Sylvia Bartolini, Head of Unit DG ENV.C2 Marine Environment &amp; Water Industry, European Commission (EC), who is in charge of the revision of the Bathing Water Directive (BWD), and Maja Dorota Feder, Policy Assistant, Clean Water Services, DG ENV, EC explained the BWD evaluation. The applied ‘back-toback’ evaluation together with the impact assessment consists of evaluating all aspects at once with one public consultation. As Sylvia Bartolini said, “This Workshop could not have been organised at a better timing for [them] because [they] are at the stage of evaluating the directive”. It must be examined if it has met its objectives of protecting the environment and public health, and if it is still fit for purpose in the current political context of the Green Deal and the Zero Pollution Action Plan. The focus is put on different elements, including the detection of newly emerged harmful substances, better information for the public as well as digitalisation, to find the best practices to achieve the objectives. The BWD is revised in parallel to the Urban Wastewater Treatment Directive, which are closely linked Which water-smart drivers must be included in the BWD? Loïc Charpentier, Innovative Water Policy Manager, Water Europe, stressed the recommendations of the innovative water eco-system to make the BWD water-smart: • Reinforce public health through robust and frequent monitoring and clarification, • Be aligned with the latest state of research, technology &amp; innovation, • Encourage the development of an inclusive management of bathing water, • Encourage the use of digital tools for bathing water-smart management • Promote the use of grey and green infrastructure and draw on synergies with other waterrelated legislation. Two examples of digital solutions: Paris and Berlin Jean-Pierre Tabuchi, Technical Advisor at the Territorial Strategy Direction and Sofia Housni, Project Manager at the Innovation Direction SIAAP, Greater Paris Sanitation Authority, presented several digital solutions developed, deployed, and tested in the context of bathing sites management in the region of Paris. It includes an early warning system, a deterministic model PROSE, and the monitoring device ALERT V2. Sebastian Hoppe, Group Leader and Acting Head of Unit for Water Hygiene and Environmental Health Protection, Surveillance and Epidemiology of Infectious Diseases, Regional Office for Health &amp; Social Affairs Berlin (LAGeSo), highlighted the challenges, benefits and outlook of bathing water-smart management in Berlin. The early warning system facilitatesthe management and improves considerably the level of services for health protection. Three examples of monitoring solutions Three examples demonstrated that online monitoring is possible, accurate and robust and they should be considered by the new Bathing Water Directive. • Miguel Gillon-Ritz, Head of Unit Large water cycle and water quality, Water and Sanitation Department, City of Paris presented Coli Minder Technology. • Dan Angelescu, CEO and R&amp;D Director, Fluidion, explained a fully automated in-situ microbiology management using A","url":"https://doi.org/10.5281/zenodo.7576544","authors":["Rouault, Pascale"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.7576544","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.15131/shef.data.19383521","name":"Dataset for Paper \"Digital twin based testing for cyber-physical systems: A systematic literature review\"","source":"datacite","abstract":"An excel spreadsheet containing exported metadata collected during a systematic literature review on digital twin based testing for cyber-physical systems.","url":"https://doi.org/10.15131/shef.data.19383521","authors":["Somers, Richard","Walkinshaw, Neil","Hierons, Robert"],"tags":["Cyberphysical systems and internet of things"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.15131/shef.data.19383521","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7506720","name":"MAPEO DE LAS REVISTAS DE INTELIGENCIA ARTIFICIAL Y EL ESTRÉS LABORAL: UN ANÁLISIS BIBLIOMÉTRICO Y DE REDES DE CITAS","source":"datacite","abstract":"Esta investigación permite el desarrollo de un mapeo de revistas enfocadas en inteligencia artificial y el estrés laboral en donde se realiza un análisis bibliométrico de las variables de estudio, tiene como objetivo identificar la información más relevante en lo que a producción científica a nivel mundial se refiere, tomando en consideración aspectos relevantes como las co citaciones, manejo de clúster y países con mayor cantidad de producción en este ámbito se ha escrito; la cantidad de literatura retrospectiva en este campo es bastante representativa a lo largo de este tiempo, para esta investigación se seleccionaron indicadores bastante relevantes para no dificultar la visión que se quiere obtener en lo que respecta a los resultados, por lo tanto la metodología utilizada es la técnica del mapeo y agrupación de indicadores que ayudan a la visualización de información y por consiguiente la estructura de la literatura, los resultados de este estudio es la agrupación y exploración sistemática de la investigación y de esta forma brindar un esquema taxonómico que sirva como una base a las futuras investigaciones, los datos analizados que se extrajeron de la base de datos Scopus y la plataforma lens.org un total de 745 contribuciones fueron identificadas como potenciales para de esta forma reforzar la comprensión de la taxonomía estructurada que beneficiará a la comunidad científica.","url":"https://doi.org/10.5281/zenodo.7506720","authors":["Bedoya, Donald Reyes"],"tags":["Inteligencia artificial","análisis de recursos humanos","cobots","chatbots","bibliometría"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7506720","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7506721","name":"MAPEO DE LAS REVISTAS DE INTELIGENCIA ARTIFICIAL Y EL ESTRÉS LABORAL: UN ANÁLISIS BIBLIOMÉTRICO Y DE REDES DE CITAS","source":"datacite","abstract":"Esta investigación permite el desarrollo de un mapeo de revistas enfocadas en inteligencia artificial y el estrés laboral en donde se realiza un análisis bibliométrico de las variables de estudio, tiene como objetivo identificar la información más relevante en lo que a producción científica a nivel mundial se refiere, tomando en consideración aspectos relevantes como las co citaciones, manejo de clúster y países con mayor cantidad de producción en este ámbito se ha escrito; la cantidad de literatura retrospectiva en este campo es bastante representativa a lo largo de este tiempo, para esta investigación se seleccionaron indicadores bastante relevantes para no dificultar la visión que se quiere obtener en lo que respecta a los resultados, por lo tanto la metodología utilizada es la técnica del mapeo y agrupación de indicadores que ayudan a la visualización de información y por consiguiente la estructura de la literatura, los resultados de este estudio es la agrupación y exploración sistemática de la investigación y de esta forma brindar un esquema taxonómico que sirva como una base a las futuras investigaciones, los datos analizados que se extrajeron de la base de datos Scopus y la plataforma lens.org un total de 745 contribuciones fueron identificadas como potenciales para de esta forma reforzar la comprensión de la taxonomía estructurada que beneficiará a la comunidad científica.","url":"https://doi.org/10.5281/zenodo.7506721","authors":["Bedoya, Donald Reyes"],"tags":["Inteligencia artificial","análisis de recursos humanos","cobots","chatbots","bibliometría"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7506721","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.15488/12186","name":"Openness of Digital Twins in Logistics – A Review","source":"datacite","abstract":"Openness is becoming increasingly important in scientific research and practice. It describes the phenomenon of sharing information with other internal or external stakeholders by using different technologies, e.g., cloud computing, distributed ledger, or digital twins. Hence, many researchers investigate and evaluate the openness of platforms. Alongside these platforms, digital twins are gaining influence in industrial processes. A digital twin is a virtual representation of a physical entity connected through a bi-directional data linkage. Its primary purpose is to visualize, analyze, and optimize production and logistics systems. Nevertheless, research shows a lack of knowledge in the domain of the openness of digital twins and that the topic has not been addressed adequately. To approach this research gap, this paper provides a review of literature-based work on digital twins focusing on logistical contexts. It aims to answer the question of how open digital twins are, depending on their use case, purpose, and status as digital twin or digital shadow. Through a comprehensive research approach, this paper provides researchers and practitioners with meaningful insights into the openness of digital twins.","url":"https://doi.org/10.15488/12186","authors":["Winkelmann, Stephanie","Van Der Valk, Hendrik"],"tags":["Openness","Digital twin","Production","Logistics","Review","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.15488/12186","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7377949","name":"Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling","source":"datacite","abstract":"The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, digital twins are the focus of several research areas: construction, urban management, digital transformation of the economy, medicine, virtual reality, software testing, and others. The concept is not yet fully defined, its scope seems unlimited, and the topic is relatively new; all this can present a barrier to research. The main goal of this paper is to develop a proper methodology for visualizing the digital-twin science landscape using modern bibliometric tools, text-mining and topic-modelling, based on machine learning models—Latent Dirichlet Allocation (LDA) and BERTopic (Bidirectional Encoder Representations from Transformers). The scope of the study includes 8693 publications on the topic selected from the Scopus database, published between January 1993 and September 2022. Keyword co-occurrence analysis and topic-modelling indicate that studies on digital twins are still in the early stage of development. At the same time, the core of the topic is growing, and some topic clusters are emerging. More than 100 topics can be identified; the most popular and fastest-growing topic is ‘digital twins of industrial robots, production lines and objects.’ Further efforts are needed to verify the proposed methodology, which can be achieved by analyzing other research fields.","url":"https://doi.org/10.5281/zenodo.7377949","authors":["Kukushkin, Kuzma","Ryabov, Yury","Borovkov, Alexey"],"tags":["Digital twin; topic-modeling; systematic literature review; data analysis; bibliometrics; machine learning; BERTopic; LDA model"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7377949","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7377950","name":"Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling","source":"datacite","abstract":"The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, digital twins are the focus of several research areas: construction, urban management, digital transformation of the economy, medicine, virtual reality, software testing, and others. The concept is not yet fully defined, its scope seems unlimited, and the topic is relatively new; all this can present a barrier to research. The main goal of this paper is to develop a proper methodology for visualizing the digital-twin science landscape using modern bibliometric tools, text-mining and topic-modelling, based on machine learning models—Latent Dirichlet Allocation (LDA) and BERTopic (Bidirectional Encoder Representations from Transformers). The scope of the study includes 8693 publications on the topic selected from the Scopus database, published between January 1993 and September 2022. Keyword co-occurrence analysis and topic-modelling indicate that studies on digital twins are still in the early stage of development. At the same time, the core of the topic is growing, and some topic clusters are emerging. More than 100 topics can be identified; the most popular and fastest-growing topic is ‘digital twins of industrial robots, production lines and objects.’ Further efforts are needed to verify the proposed methodology, which can be achieved by analyzing other research fields.","url":"https://doi.org/10.5281/zenodo.7377950","authors":["Kukushkin, Kuzma","Ryabov, Yury","Borovkov, Alexey"],"tags":["Digital twin; topic-modeling; systematic literature review; data analysis; bibliometrics; machine learning; BERTopic; LDA model"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7377950","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7233380","name":"Digital Twin for Human–Robot Collaboration in Manufacturing: Review and Outlook","source":"datacite","abstract":"Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber–physical systems. These technologies can also support the creation of virtual replicas which exhibit real-time characteristics of a physical system. These virtual replicas are commonly referred to as digital twins. With the increased adoption of digitized products, processes and services across manufacturing sectors, digital twins will play an important role throughout the entire product lifecycle. At the same time, collaborative robots have begun to make their way onto the shop floor to aid operators in completing tasks through human–robot collaboration. Therefore, the focus of this paper is to provide insights into approaches used to create digital twins of human–robot collaboration and the challenges in developing these digital twins. A review of different approaches for the creation of digital twins is presented, and the function and importance of digital twins in human–robot collaboration scenarios are described. Finally, the paper discusses the challenges of creating a digital twin, in particular the complexities of modelling the digital twin of human–robot collaboration and the exactness of the digital twin with respect to the physical system.","url":"https://doi.org/10.5281/zenodo.7233380","authors":["Ramasubramaniana K., Aswin","Mathew, Robins","Kelly, Matthew","Hargaden, Vincent","Papakostas, Nikolaos"],"tags":["collaborative robot","digital twin","digital manufacturing","human–robot collaboration"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7233380","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.7233381","name":"Digital Twin for Human–Robot Collaboration in Manufacturing: Review and Outlook","source":"datacite","abstract":"Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber–physical systems. These technologies can also support the creation of virtual replicas which exhibit real-time characteristics of a physical system. These virtual replicas are commonly referred to as digital twins. With the increased adoption of digitized products, processes and services across manufacturing sectors, digital twins will play an important role throughout the entire product lifecycle. At the same time, collaborative robots have begun to make their way onto the shop floor to aid operators in completing tasks through human–robot collaboration. Therefore, the focus of this paper is to provide insights into approaches used to create digital twins of human–robot collaboration and the challenges in developing these digital twins. A review of different approaches for the creation of digital twins is presented, and the function and importance of digital twins in human–robot collaboration scenarios are described. Finally, the paper discusses the challenges of creating a digital twin, in particular the complexities of modelling the digital twin of human–robot collaboration and the exactness of the digital twin with respect to the physical system.","url":"https://doi.org/10.5281/zenodo.7233381","authors":["Ramasubramaniana K., Aswin","Mathew, Robins","Kelly, Matthew","Hargaden, Vincent","Papakostas, Nikolaos"],"tags":["collaborative robot","digital twin","digital manufacturing","human–robot collaboration"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.7233381","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2210.00073","name":"Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems","source":"datacite","abstract":"Surrogate modeling has brought about a revolution in computation in the branches of science and engineering. Backed by Artificial Intelligence, a surrogate model can present highly accurate results with a significant reduction in computation time than computer simulation of actual models. Surrogate modeling techniques have found their use in numerous branches of science and engineering, energy system modeling being one of them. Since the idea of hybrid and sustainable energy systems is spreading rapidly in the modern world for the paradigm of the smart energy shift, researchers are exploring the future application of artificial intelligence-based surrogate modeling in analyzing and optimizing hybrid energy systems. One of the promising technologies for assessing applicability for the energy system is the digital twin, which can leverage surrogate modeling. This work presents a comprehensive framework/review on Artificial Intelligence-driven surrogate modeling and its applications with a focus on the digital twin framework and energy systems. The role of machine learning and artificial intelligence in constructing an effective surrogate model is explained. After that, different surrogate models developed for different sustainable energy sources are presented. Finally, digital twin surrogate models and associated uncertainties are described.","url":"https://doi.org/10.48550/arxiv.2210.00073","authors":["Khan, Abid Hossain","Omar, Salauddin","Mushtary, Nadia","Verma, Richa","Kumar, Dinesh","Alam, Syed"],"tags":["Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2210.00073","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2208.14197","name":"A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies","source":"datacite","abstract":"As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively modeling the physical world as a group of interconnected digital models. In a two-part series of papers, we examine the fundamental role of different modeling techniques, twinning enabling technologies, and uncertainty quantification and optimization methods commonly used in digital twins. This first paper presents a thorough literature review of digital twin trends across many disciplines currently pursuing this area of research. Then, digital twin modeling and twinning enabling technologies are further analyzed by classifying them into two main categories: physical-to-virtual, and virtual-to-physical, based on the direction in which data flows. Finally, this paper provides perspectives on the trajectory of digital twin technology over the next decade, and introduces a few emerging areas of research which will likely be of great use in future digital twin research. In part two of this review, the role of uncertainty quantification and optimization are discussed, a battery digital twin is demonstrated, and more perspectives on the future of digital twin are shared.","url":"https://doi.org/10.48550/arxiv.2208.14197","authors":["Thelen, Adam","Zhang, Xiaoge","Fink, Olga","Lu, Yan","Ghosh, Sayan","Youn, Byeng D.","Todd, Michael D.","Mahadevan, Sankaran","Hu, Chao","Hu, Zhen"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2208.14197","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2209.12856","name":"Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges","source":"datacite","abstract":"Digital Twin technology is being envisioned to be an integral part of the industrial evolution in modern generation. With the rapid advancement in the Internet-of-Things (IoT) technology and increasing trend of automation, integration between the virtual and the physical world is now realizable to produce practical digital twins. However, the existing definitions of digital twin is incomplete and sometimes ambiguous. Herein, we conduct historical review and analyze the modern generic view of digital twin to create its new extended definition. We also review and discuss the existing work in digital twin in safety-critical robotics applications. Especially, the usage of digital twin in industrial applications necessitates autonomous and remote operations due to environmental challenges. However, the uncertainties in the environment may need close monitoring and quick adaptation of the robots which need to be safety-proof and cost effective. We demonstrate a case study on developing a framework for safety-critical robotic arm applications and present the system performance to show its advantages, and discuss the challenges and scopes ahead.","url":"https://doi.org/10.48550/arxiv.2209.12856","authors":["Baidya, Sabur","Das, Sumit K.","Uddin, Mohammad Helal","Kosek, Chase","Summers, Chris"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2209.12856","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2208.12904","name":"A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives","source":"datacite","abstract":"As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively modeling the physical world as a group of interconnected digital models. In a two-part series of papers, we examine the fundamental role of different modeling techniques, twinning enabling technologies, and uncertainty quantification and optimization methods commonly used in digital twins. This second paper presents a literature review of key enabling technologies of digital twins, with an emphasis on uncertainty quantification, optimization methods, open source datasets and tools, major findings, challenges, and future directions. Discussions focus on current methods of uncertainty quantification and optimization and how they are applied in different dimensions of a digital twin. Additionally, this paper presents a case study where a battery digital twin is constructed and tested to illustrate some of the modeling and twinning methods reviewed in this two-part review. Code and preprocessed data for generating all the results and figures presented in the case study are available on GitHub.","url":"https://doi.org/10.48550/arxiv.2208.12904","authors":["Thelen, Adam","Zhang, Xiaoge","Fink, Olga","Lu, Yan","Ghosh, Sayan","Youn, Byeng D.","Todd, Michael D.","Mahadevan, Sankaran","Hu, Chao","Hu, Zhen"],"tags":["Machine Learning (cs.LG)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2208.12904","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.25673/85947","name":"Packaging management system based on digital technology","source":"datacite","abstract":"Choosing the right packaging and upgrading existing packaging systems is a growing challenge in industry practice, mainly due to the significant expansion of product structures, the rise of e-commerce and the variety of seasonal packaging. In the article, the literature related to the topic will be reviewed, and then the operating principle of the concept of a packaging management system will be presented, which supports the review and continuous improvement of the packaging system already established at the company’s site. The packaging management system concept is presented in 3 main parts. These are: selecting the right packaging for a new product, proposing packaging improvements for an existing product, and checking packaging using digital twin technology. This paper presents a systematic literature review of the field under study and the 3 main areas of the packaging management system we have identified, with a process description. This study summarizes the initial results of a PhD research. In the future, a detailed conceptualization of the 3 areas identified is planned. This publication is a summary of the results achieved so far.","url":"https://doi.org/10.25673/85947","authors":["Matyi, Henriett","Tamás, Péter"],"tags":["Packaging management system","Expansion","620"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.25673/85947","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5445/ir/1000141493","name":"Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities","source":"datacite","abstract":"As the world races to respond to the diverse and expanding demands for electrochemical energy storage solutions, lithium-ion batteries (LIBs) remain the most advanced technology in the battery ecosystem. Even as unprecedented demand for state-of-the-art batteries drives gigascale production around the world, there are increasing calls for next-generation batteries that are safer, more affordable, and energy-dense. These trends motivate the intense pursuit of battery manufacturing processes that are cost effective, scalable, and sustainable. The digital transformation of battery manufacturing plants can help meet these needs. This review provides a detailed discussion of the current and near-term developments for the digitalization of the battery cell manufacturing chain and presents future perspectives in this field. Current modelling approaches are reviewed, and a discussion is presented on how these elements can be combined with data acquisition instruments and communication protocols in a framework for building a digital twin of the battery manufacturing chain. The challenges and emerging techniques provided here is expected to give scientists and engineers from both industry and academia a guide toward more intelligent and interconnected battery manufacturing processes in the future.","url":"https://doi.org/10.5445/ir/1000141493","authors":["Ayerbe, E.","Berecibar, M.","Clark, S.","Franco, A. A.","Ruhland, J."],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5445/ir/1000141493","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.17863/cam.84090","name":"A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?","source":"datacite","abstract":"The challenge for city authorities goes beyond managing growing cities, since as cities develop, their exposure to climate change effects also increases. In this scenario, urban water supply is under unprecedented pressure, and the sustainable management of the water demand, in terms of practices including economic, social, environmental, production, and other fields, is becoming a must for utility managers and policy makers. To help tackle these challenges, this paper presents a well-timed review of predictive methods for short-term water demand. For this purpose, over 100 articles were selected from the articles published in water demand forecasting from 2010 to 2021 and classified upon the methods they use. In principle, the results show that traditional time series methods and artificial neural networks are among the most widely used methods in the literature, used in 25% and 20% of the articles in this review. However, the ultimate goal of the current work goes further, providing a comprehensive guideline for engineers and practitioners on selecting a forecasting method to use among the plethora of available options. The overall document results in an innovative reference tool, ready to support demand-informed decision making for disruptive technologies such as those coming from the Internet of Things and cyber−physical systems, as well as from the use of digital twin models of water infrastructure. On top of this, this paper includes a thorough review of how sustainable management objectives have evolved in a new era of technological developments, transforming data acquisition and treatment.","url":"https://doi.org/10.17863/cam.84090","authors":["Niknam, Azar","Zare, Hasan Khademi","Hosseininasab, Hassan","Mostafaeipour, Ali","Herrera, Manuel"],"tags":["water demand","sustainable management","water demand forecasting","predictive analytics","water supply","smart water networks","digital water"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.17863/cam.84090","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2202.03966","name":"Blockchain-based Digital Twin for Supply Chain Management: State-of-the-Art Review and Future Research Directions","source":"datacite","abstract":"Supply chain management (SCM) plays a vital role in the global economy, as evidenced by recent COVID-19 supply chain challenges. Traditional SCM faces security and efficiency issues, but they can be addressed by leveraging digital twins (DTs) and blockchain technology. T he combination of blockchain and DTs can refine the concepts of both technologies and reform SCM to advance into Industry 4.0. In this paper, we provide a comprehensive literature review of the blockchain-based digital twin (DT) solutions to optimise the processes of data management, data storage, and data sharing in SCM. We also investigate the key benefits of the integration of blockchain and DTs and examine their potential implementation in various SCM areas, including smart manufacturing, intelligent maintenance, and blockchain-based DT shop floor, warehouse, and logistics. Finally, we put forward recommendations for future research directions.","url":"https://doi.org/10.48550/arxiv.2202.03966","authors":["Liu, Jiongbin","Yeoh, William","Qu, Youyang","Gao, Longxiang"],"tags":["Cryptography and Security (cs.CR)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2202.03966","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.15480/882.3548","name":"On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review","source":"datacite","abstract":"Additive manufacturing (AM) as a highly digitalized manufacturing technology is capable of the implementation of the concept of the digital twin (DT), which promises highly automated and optimized part production. Since the DT is a quite novel concept requiring a wide framework of various technologies, it is not state of the art yet, though. Especially the combination with artificial intelligence (AI) methods is still challenging. Applying the methodology of the systematic review, the state of the art regarding the DT in AM with emphasis of required technologies and current challenges is assessed. Furthermore, the topic of AI is investigated focusing the main applications in AM as well as the possibility to integrate today's approaches into a DT environment.","url":"https://doi.org/10.15480/882.3548","authors":["Bartsch, Katharina","Pettke, Alexander","Hübert, Artur","Lakämper, Julia","Lange, Fritz"],"tags":["additive manufacturing","artificial intelligence","digital twin","quality assurance","600: Technik"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.15480/882.3548","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.1911.01276","name":"Digital Twin: Enabling Technologies, Challenges and Open Research","source":"datacite","abstract":"Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.","url":"https://doi.org/10.48550/arxiv.1911.01276","authors":["Fuller, Aidan","Fan, Zhong","Day, Charles","Barlow, Chris"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.48550/arxiv.1911.01276","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.1910.01719","name":"Digital Twin: Values, Challenges and Enablers","source":"datacite","abstract":"A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.","url":"https://doi.org/10.48550/arxiv.1910.01719","authors":["Rasheed, Adil","San, Omer","Kvamsdal, Trond"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.48550/arxiv.1910.01719","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2106.11030","name":"BIM, Digital Twin and Cyber-Physical Systems: crossing and blurring boundaries","source":"datacite","abstract":"Digital Twin in construction and the built environment have started to attract the attention of researchers and practitioners in recent times. Its anticipated value proposition is focussed on its capability of generating new understanding and insights into an asset at all stages of its life cycle, exploiting diverse data sets from a multitude of sources and professions, in real or near real-time. However, there is still a significant debate about the delineation (i.e. communalities and differences) between digital twin and other related concepts, particularly Building Information Modelling (BIM) and Cyber-Physical Systems (CPS). To date, this debate has been confined to social media discussions, insights blogs and position papers. This paper addresses this challenge using a systematic review. The aim is to investigate communalities and differences between the three concepts, Digital Twin, BIM and CPS. The results of this paper are expected to foster the discussion around this theme within construction and the built environment.","url":"https://doi.org/10.48550/arxiv.2106.11030","authors":["Douglas, Dean","Kelly, Graham","Kassem, Mohamad"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.48550/arxiv.2106.11030","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2102.03341","name":"Challenges in Digital Twin Development for Cyber-Physical Production Systems","source":"datacite","abstract":"The recent advancement of information and communication technology makes digitalisation of an entire manufacturing shop-floor possible where physical processes are tightly intertwined with their cyber counterparts. This led to an emergence of a concept of digital twin, which is a realistic virtual copy of a physical object. Digital twin will be the key technology in Cyber-Physical Production Systems (CPPS) and its market is expected to grow significantly in the coming years. Nevertheless, digital twin is still relatively a new concept that people have different perspectives on its requirements, capabilities, and limitations. To better understand an effect of digital twin's operations, mitigate complexity of capturing dynamics of physical phenomena, and improve analysis and predictability, it is important to have a development tool with a strong semantic foundation that can accurately model, simulate, and synthesise the digital twin. This paper reviews current state-of-art on tools and developments of digital twin in manufacturing and discusses potential design challenges.","url":"https://doi.org/10.48550/arxiv.2102.03341","authors":["Park, Heejong","Easwaran, Arvind","Andalam, Sidharta"],"tags":["Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.48550/arxiv.2102.03341","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2110.09284","name":"Towards a Systematic Survey for Carbon Neutral Data Centers","source":"datacite","abstract":"Data centers are carbon-intensive enterprises due to their massive energy consumption, and it is estimated that data center industry will account for 8\\% of global carbon emissions by 2030. However, both technological and policy instruments for reducing or even neutralizing data center carbon emissions have not been thoroughly investigated. To bridge this gap, this survey paper proposes a roadmap towards carbon-neutral data centers that takes into account both policy instruments and technological methodologies. We begin by presenting the carbon footprint of data centers, as well as some insights into the major sources of carbon emissions. Following that, carbon neutrality plans for major global cloud providers are discussed to summarize current industrial efforts in this direction. In what follows, we introduce the carbon market as a policy instrument to explain how to offset data center carbon emissions in a cost-efficient manner. On the technological front, we propose achieving carbon-neutral data centers by increasing renewable energy penetration, improving energy efficiency, and boosting energy circulation simultaneously. A comprehensive review of existing technologies on these three topics is elaborated subsequently. Based on this, a multi-pronged approach towards carbon neutrality is envisioned and a digital twin-powered industrial artificial intelligence (AI) framework is proposed to make this solution a reality. Furthermore, three key scientific challenges for putting such a framework in place are discussed. Finally, several applications for this framework are presented to demonstrate its enormous potential.","url":"https://doi.org/10.48550/arxiv.2110.09284","authors":["Cao, Zhiwei","Zhou, Xin","Hu, Han","Wang, Zhi","Wen, Yonggang"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.48550/arxiv.2110.09284","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5860809","name":"ICT and Digital Technology based Solutions for Smart City Challenges and Opportunities","source":"datacite","abstract":"Purpose : Today's Smart Cities are rapidly evolving with the help of the latest tools and technologies and also due to large investment and priority focus by various countries across the globe. Smart Cities while growing also consider the environmental aspects such as producing lower carbon footprint, lower harmful gas emissions, and lower consumption of power. Abiding by this new paradigm, various Smart Cities started focusing on continuous improvement and innovation in their different services. Many Smart Cities have their own pain points such as traffic congestion, water scarcity, energy deficiency, waste management, poor participation of citizens in city administration, maintenance of complex IT Infrastructure, and so on. Such kind of issues may differ in scale and type but mostly common across geographies. While developing, operating, and maintaining Smart Cities, it is necessary to identify the most pressing and urgent issues that Smart City solutions must tackle on priority. In such cases, high-end technologies and tools can help to focus and eliminate the problems. In this paper, we analysed key challenges faced by Smart Cities during the development, operation, and maintenance related activities of various Smart Services and how these challenges and issues are effectively addressed by some of the key technologies with special attention to ICT and digital technologies. We have also reviewed some selected research papers devoted to Smart Cities challenges ad issues and how these issues are addressed using the latest tools and technologies. Finally, we have also specified the future plans about the discussed technical solutions to undertake its full-fledged implementation and addressing of its some of the limitations. Design/Methodology/Approach : This paper is based on the primary data collected while preparing research papers written by us on Smart Cities and a systematic literature review of existing literature including journal research papers, book chapters, dedicated websites, and white papers. Findings/Result : Smart Cities various operational and development challenges are effectively get addressed using various ICT and digital technologies. Some of the key technologies that played an important role in addressing some of the key concerns of Smart Cities include IoT, AI and ML, Blockchain, Data Analytics, Digital Twin, 5G, and Cloud Computing. Originality/Value : The Information presented in this paper is genuine and original and based on own research, data collected from industry professionals, systematic literature review of existing relevant research papers, and relevant data analysis and findings. Most of the information presented in this paper is derived from our own research papers written on Smart City services and solutions. Paper Type : Technology oriented Research","url":"https://doi.org/10.5281/zenodo.5860809","authors":["Gade, Dipak S.","Aithal, P. S."],"tags":["Smart City","IoT","ICT","Analytics","Blockchain","5G","Big Data"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.5860809","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5860810","name":"ICT and Digital Technology based Solutions for Smart City Challenges and Opportunities","source":"datacite","abstract":"Purpose : Today's Smart Cities are rapidly evolving with the help of the latest tools and technologies and also due to large investment and priority focus by various countries across the globe. Smart Cities while growing also consider the environmental aspects such as producing lower carbon footprint, lower harmful gas emissions, and lower consumption of power. Abiding by this new paradigm, various Smart Cities started focusing on continuous improvement and innovation in their different services. Many Smart Cities have their own pain points such as traffic congestion, water scarcity, energy deficiency, waste management, poor participation of citizens in city administration, maintenance of complex IT Infrastructure, and so on. Such kind of issues may differ in scale and type but mostly common across geographies. While developing, operating, and maintaining Smart Cities, it is necessary to identify the most pressing and urgent issues that Smart City solutions must tackle on priority. In such cases, high-end technologies and tools can help to focus and eliminate the problems. In this paper, we analysed key challenges faced by Smart Cities during the development, operation, and maintenance related activities of various Smart Services and how these challenges and issues are effectively addressed by some of the key technologies with special attention to ICT and digital technologies. We have also reviewed some selected research papers devoted to Smart Cities challenges ad issues and how these issues are addressed using the latest tools and technologies. Finally, we have also specified the future plans about the discussed technical solutions to undertake its full-fledged implementation and addressing of its some of the limitations. Design/Methodology/Approach : This paper is based on the primary data collected while preparing research papers written by us on Smart Cities and a systematic literature review of existing literature including journal research papers, book chapters, dedicated websites, and white papers. Findings/Result : Smart Cities various operational and development challenges are effectively get addressed using various ICT and digital technologies. Some of the key technologies that played an important role in addressing some of the key concerns of Smart Cities include IoT, AI and ML, Blockchain, Data Analytics, Digital Twin, 5G, and Cloud Computing. Originality/Value : The Information presented in this paper is genuine and original and based on own research, data collected from industry professionals, systematic literature review of existing relevant research papers, and relevant data analysis and findings. Most of the information presented in this paper is derived from our own research papers written on Smart City services and solutions. Paper Type : Technology oriented Research","url":"https://doi.org/10.5281/zenodo.5860810","authors":["Gade, Dipak S.","Aithal, P. S."],"tags":["Smart City","IoT","ICT","Analytics","Blockchain","5G","Big Data"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.5860810","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.48550/arxiv.2201.04259","name":"Toward Experience-Driven Traffic Management and Orchestration in Digital-Twin-Enabled 6G Networks","source":"datacite","abstract":"The envisioned 6G networks are expected to support extremely high data rates, low-latency, and radically new applications empowered by machine learning. The futuristic 6G networks require a novel framework that can be used to operate, manage, and optimize its underlying services such as ultra-reliable and low-latency communication, and Internet of everything. In recent years, artificial intelligence (AI) has demonstrated significant success in optimizing and designing networks. The AI-enabled traffic orchestration can dynamically organize different network architectures and slices to provide quality of experience considering the dynamic nature of the wireless communication network. In this paper, we propose a digital twin enabled network framework, empowered by AI to cater the variability and complexity of envisioned 6G networks, to provide smart resource management and intelligent service provisioning. Digital twin paves a way for achieving optimizing 6G services by creating a virtual representation of the 6G network along with its associated communication technologies (e.g., intelligent reflecting surfaces, terahertz and millimeter communication), computing systems (e.g., cloud computing and fog computing) with its associated algorithms (e.g., optimization and machine learning). We then discuss and review the existing AI-enabled traffic management and orchestration techniques and highlight future research directions and potential solutions in 6G networks.","url":"https://doi.org/10.48550/arxiv.2201.04259","authors":["Tariq, Muhammad","Naeem, Faisal","Poor, H. Vincent"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.48550/arxiv.2201.04259","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5705937","name":"BIM 7D - RESEARCH ON APPLICATIONS FOR OPERATIONS &amp; MAINTENANCE","source":"datacite","abstract":"Throughout the project life cycle in the built environment, the extensive employment of Building Information Modelling (BIM) and the very recent advancements of other digital technologies have provided various new insights and decision-making capabilities. As a result, a large amount of data must be conveyed, altered, coordinated, and exchanged across multiple stakeholders throughout the construction process. The potential of cost management, facility maintenance to the information sharing and monitoring of the built asset put in an environment has led to the concept of a greater level of detailing of the built asset model emerging in recent years. The digitization/computerization of various phases and processes of built environments is growing to have a broad influence on how architecture, engineering, and construction (AEC) sector’s projects are planned, developed, and managed, as a result of the development of huge data in projects. The intersection of digital technologies and smart systems, along with data systems, has lately been identified as one of the most innovative and cutting-edge technological breakthroughs in the built environment. Although the integration of digital technology into the AEC industry’s practices has proven benefits throughout the lifecycle of the built asset and this incorporation has the potential to transform the construction industry, however, there exist still challenges in its intelligent implementation. For instance, one of the major problems is its precise and efficient employment for required outcomes that confirms the solid need for an intuitive framework. Therefore, the present dissertation is influentially aimed at developing a systematic guide document for the efficient implementation of digital twin technology in the built environment. A step-by-step guide framework (termed as Digital Twin Execution Plan – DTxP) is prepared that follows the workflows and information exchange requirements in order to effectively employ digitalization in the available built environment projects. A thorough literature review is carried out to collect the relevant scientific information and different codes of practice were also consulted to make sure the alignment of the developed framework with the regional and international standards. Industry practitioners were also consulted in order to get feedback on the real-life industry practices and how digitalization can really be implemented while solving the existing problems. The developed framework document reflects a comprehensive set of information on when, how, and who is responsible for what task(s) when a higher amount of productivity is required in a built environment project that is employing digital twin technology. Although the guide document is targeted to employ the digitalization in reinforced concrete bridge structure for its structural performance analysis, fatigue assessment, traffic monitoring, and ground stability, among others, the developed framework could be extended by the industry professionals working in BIM to control the information throughout the built asset’s life cycle. Besides, the development document could serve as a benchmark or a template document to follow when efficient employment of the digital twin technology into the built environment practices is needed.","url":"https://doi.org/10.5281/zenodo.5705937","authors":["Afzal, Mohammad","Valente, Isabel","Sousa, Helder","Roux, Sébastien"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5705937","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5705938","name":"BIM 7D - RESEARCH ON APPLICATIONS FOR OPERATIONS &amp; MAINTENANCE","source":"datacite","abstract":"Throughout the project life cycle in the built environment, the extensive employment of Building Information Modelling (BIM) and the very recent advancements of other digital technologies have provided various new insights and decision-making capabilities. As a result, a large amount of data must be conveyed, altered, coordinated, and exchanged across multiple stakeholders throughout the construction process. The potential of cost management, facility maintenance to the information sharing and monitoring of the built asset put in an environment has led to the concept of a greater level of detailing of the built asset model emerging in recent years. The digitization/computerization of various phases and processes of built environments is growing to have a broad influence on how architecture, engineering, and construction (AEC) sector’s projects are planned, developed, and managed, as a result of the development of huge data in projects. The intersection of digital technologies and smart systems, along with data systems, has lately been identified as one of the most innovative and cutting-edge technological breakthroughs in the built environment. Although the integration of digital technology into the AEC industry’s practices has proven benefits throughout the lifecycle of the built asset and this incorporation has the potential to transform the construction industry, however, there exist still challenges in its intelligent implementation. For instance, one of the major problems is its precise and efficient employment for required outcomes that confirms the solid need for an intuitive framework. Therefore, the present dissertation is influentially aimed at developing a systematic guide document for the efficient implementation of digital twin technology in the built environment. A step-by-step guide framework (termed as Digital Twin Execution Plan – DTxP) is prepared that follows the workflows and information exchange requirements in order to effectively employ digitalization in the available built environment projects. A thorough literature review is carried out to collect the relevant scientific information and different codes of practice were also consulted to make sure the alignment of the developed framework with the regional and international standards. Industry practitioners were also consulted in order to get feedback on the real-life industry practices and how digitalization can really be implemented while solving the existing problems. The developed framework document reflects a comprehensive set of information on when, how, and who is responsible for what task(s) when a higher amount of productivity is required in a built environment project that is employing digital twin technology. Although the guide document is targeted to employ the digitalization in reinforced concrete bridge structure for its structural performance analysis, fatigue assessment, traffic monitoring, and ground stability, among others, the developed framework could be extended by the industry professionals working in BIM to control the information throughout the built asset’s life cycle. Besides, the development document could serve as a benchmark or a template document to follow when efficient employment of the digital twin technology into the built environment practices is needed.","url":"https://doi.org/10.5281/zenodo.5705938","authors":["Afzal, Mohammad","Valente, Isabel","Sousa, Helder","Roux, Sébastien"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5705938","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.18154/rwth-2021-09877","name":"A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics","source":"datacite","abstract":"Sensors 21(19), Artikel 6340 (2021). doi:10.3390/s21196340 special issue: \"Special Issue \"Digital Twins, Sensing Technologies and Automation in Industry 4.0\" / Special Issue Editors: Dr. Samad M. E. Sepasgozar, Guest Editor; Dr. Rafiq Ahmad, Guest Editor; Dr. Limao Zhang, Guest Editor; Dr. Sara Shirowzhan, Guest Editor\"","url":"https://doi.org/10.18154/rwth-2021-09877","authors":["Huang, Ziqi","Shen, Yang","Li, Jiayi","Fey, Marcel","Brecher, Christian"],"tags":["620","AR","Industry 4.0","artificial intelligence","deep learning","digital shadow","digital twin","machine learning"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.18154/rwth-2021-09877","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.15480/882.3387","name":"Digital twins for tissue culture techniques : concepts, expectations, and state of the art","source":"datacite","abstract":"Techniques to provide in vitro tissue culture have undergone significant changes during the last decades, and current applications involve interactions of cells and organoids, three-dimensional cell co-cultures, and organ/body-on-chip tools. Efficient computer-aided and mathematical model-based methods are required for efficient and knowledge-driven characterization, optimization, and routine manufacturing of tissue culture systems. As an alternative to purely experimental-driven research, the usage of comprehensive mathematical models as a virtual in silico representation of the tissue culture, namely a digital twin, can be advantageous. Digital twins include the mechanistic of the biological system in the form of diverse mathematical models, which describe the interaction between tissue culture techniques and cell growth, metabolism, and the quality of the tissue. In this review, current concepts, expectations, and the state of the art of digital twins for tissue culture concepts will be highlighted. In general, DT’s can be applied along the full process chain and along the product life cycle. Due to the complexity, the focus of this review will be especially on the design, characterization, and operation of the tissue culture techniques.","url":"https://doi.org/10.15480/882.3387","authors":["Möller, Johannes","Pörtner, Ralf"],"tags":["digital twin","tissue engineering","3D culture","organ-on-a-chip","mathematical model","570: Biowissenschaften, Biologie","600: Technik","620: Ingenieurwissenschaften"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.15480/882.3387","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5470478","name":"Real-Time Digital Twins","source":"datacite","abstract":"We live in a world of exploding complexity driven by technical evolution as well as highly volatile socio-economic environments. Managing complexity is a key issue in everyday decision-making such as providing safe, sustainable, and efficient industrial control solutions as well as solving today's global grand challenges such as the climate change. However, the level of complexity has reached our cognitive capability to take informed decisions. Digital Twins, tightly integrating the real and the digital world, are a key enabler to support decision making for complex systems. They allow informing operational as well as strategic decisions upfront through accepted virtual predictions and optimisations of their real-world counter parts. Digital Twins [6] are specific virtual representations of physical objects. A Digital Twin integrates all data, models, and other information of a physical asset generated along its life cycle for a dedicated purpose. This is typically reproducing the state and behaviour of the corresponding system as well as predicting and optimising its performance. To this purpose, simulation methods and data-based methods are used. Depending on the specific nature, application, and context a wide variety of nomenclature has been introduced, see e.g. [2,4,7,14]. Here, we focus on real-time Digital Twins for online prediction and optimisation of highly dynamic industrial assets and processes. By their nature, Digital Twins integrate and tightly connect several digital key technologies including mathematical modelling, simulation, and optimisation; data analytics, machine learning, and artificial intelligence; data and compute platforms from edge to cloud computing; cybersecurity; human computer interaction; and many more. Only a coordinated research effort as envisaged by the TransContinuum Initiative will allow the realisation of the full potential of Digital Twins - a key tool for decision making addressing today's industrial as well as global challenges.","url":"https://doi.org/10.5281/zenodo.5470478","authors":["Hartmann, Dirk"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5470478","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5470479","name":"Real-Time Digital Twins","source":"datacite","abstract":"We live in a world of exploding complexity driven by technical evolution as well as highly volatile socio-economic environments. Managing complexity is a key issue in everyday decision-making such as providing safe, sustainable, and efficient industrial control solutions as well as solving today's global grand challenges such as the climate change. However, the level of complexity has reached our cognitive capability to take informed decisions. Digital Twins, tightly integrating the real and the digital world, are a key enabler to support decision making for complex systems. They allow informing operational as well as strategic decisions upfront through accepted virtual predictions and optimisations of their real-world counter parts. Digital Twins [6] are specific virtual representations of physical objects. A Digital Twin integrates all data, models, and other information of a physical asset generated along its life cycle for a dedicated purpose. This is typically reproducing the state and behaviour of the corresponding system as well as predicting and optimising its performance. To this purpose, simulation methods and data-based methods are used. Depending on the specific nature, application, and context a wide variety of nomenclature has been introduced, see e.g. [2,4,7,14]. Here, we focus on real-time Digital Twins for online prediction and optimisation of highly dynamic industrial assets and processes. By their nature, Digital Twins integrate and tightly connect several digital key technologies including mathematical modelling, simulation, and optimisation; data analytics, machine learning, and artificial intelligence; data and compute platforms from edge to cloud computing; cybersecurity; human computer interaction; and many more. Only a coordinated research effort as envisaged by the TransContinuum Initiative will allow the realisation of the full potential of Digital Twins - a key tool for decision making addressing today's industrial as well as global challenges.","url":"https://doi.org/10.5281/zenodo.5470479","authors":["Hartmann, Dirk"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5470479","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.16570404.v1","name":"Porsche Ph.D Day 2021 Artificial intelligence in procurement: From a case study of total cost of ownership, to a literature review and a digital twin model","source":"datacite","abstract":"Presentation at the Porsche Ph.D. Day","url":"https://doi.org/10.6084/m9.figshare.16570404.v1","authors":["Spreitzenbarth, Jan"],"tags":["Artificial Intelligence and Image Processing","FOS: Computer and information sciences","170203 Knowledge Representation and Machine Learning","FOS: Psychology","150309 Logistics and Supply Chain Management","FOS: Economics and business"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.6084/m9.figshare.16570404.v1","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.16570401.v1","name":"Porsche Ph.D Day 2021 Artificial intelligence in procurement: From a case study of total cost of ownership, to a literature review and a digital twin model","source":"datacite","abstract":"Poster presentation at the Porsche Ph.D. Day","url":"https://doi.org/10.6084/m9.figshare.16570401.v1","authors":["Spreitzenbarth, Jan"],"tags":["Artificial Intelligence and Image Processing","FOS: Computer and information sciences","170203 Knowledge Representation and Machine Learning","FOS: Psychology","150309 Logistics and Supply Chain Management","FOS: Economics and business"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.6084/m9.figshare.16570401.v1","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.6084/m9.figshare.16570392.v1","name":"PRO.MOTION 2021 Artificial intelligence in procurement: From a case study of total cost of ownership, to a literature review and a digital twin model","source":"datacite","abstract":"Poster presentation at the PRO.MOTION 2021 Volkswagen Ph.D. Day","url":"https://doi.org/10.6084/m9.figshare.16570392.v1","authors":["Spreitzenbarth, Jan"],"tags":["Artificial Intelligence and Image Processing","FOS: Computer and information sciences","170203 Knowledge Representation and Machine Learning","FOS: Psychology","150309 Logistics and Supply Chain Management","FOS: Economics and business"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.6084/m9.figshare.16570392.v1","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.24412/2411-2275-2021-2-208-210","name":"«ЦИФРА» В ПРАВЕ, «ЦИФРА» В ГОСУПРАВЛЕНИИ, «ЦИФРА» В ЭКОНОМИКЕ: РЕЦЕНЗИЯ НА УЧЕБНИК И.В. ПОНКИНА И А.И. ЛАПТЕВОЙ «ПРАВО И ЦИФРА: МАШИНОЧИТАЕМОЕ ПРАВО, ЦИФРОВЫЕ МОДЕЛИ-ДВОЙНИКИ, ЦИФРОВАЯ ФОРМАЛИЗАЦИЯ И ЦИФРОВАЯ ОНТО-ИНЖЕНЕРИЯ В ПРАВЕ» [1]","source":"datacite","abstract":"Публикация представляет научную рецензию на учебник И.В. Понкина и А.И. Лаптевой «Право и цифра: Машиночитаемое право, цифровые модели-двойники, цифровая формализация и цифровая онто-инженерия в праве» (М., 2021).","url":"https://doi.org/10.24412/2411-2275-2021-2-208-210","authors":["Аристов Евгений Вячеславович"],"tags":["ЦИФРОВИЗАЦИЯ В ПРАВЕ","МАШИНОЧИТАЕМОЕ ПРАВО","ЦИФРОВЫЕ МОДЕЛИ-ДВОЙНИКИ В ПРАВЕ","ОНТОЛОГИЯ"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.24412/2411-2275-2021-2-208-210","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5008325","name":"OPEN RESEARCH CHALLENGES IN HEALTH CARE INTERNET OF FORENSICS (H-IoF)","source":"datacite","abstract":"The human race has to acquaint with the up-to-date developments in order to be competent enough to regulate technology and to embrace the evolving healthcare technologies in order to stay pertinent in the imminent years. The health care data generated by the IoMT in the healthcare sector, poses many hurdles in managing them as they are of different types, voluminous, and are generated at high speed, making it difficult to store in local machines. IoMT is a sub branch of IoT and it deals with the medical devices and health care related crimes and it demands the examination of the relevant devices; besides the other research challenges like security, privacy etc., In order to settle the dispute among the parties legally, after the occurrence of a data breach event; a digital forensics mechanism has to be devised proactively in order to regulate and renovates the chain of events by examining the physical evidence and electronic data; apply analytical techniques to detect, excerpt, preserve, and analyze digital information; Post-Mortem investigation; case-centered; time-restricted process; Forensics Readiness; stipulate the judicial area and legal characteristics in service legal agreements concerning the forensics issues. This paper work presents a rationalized review of the Healthcare Internet of Things (H-IoT), rationale for the study of IoMT forensics, applications, various open research challenges in Healthcare Internet of Forensics (H-IoF). Healthcare Internet of Forensics or IoMT forensics, an umbrella term, encasing issues of IoMT and Digital Forensics, may support in investigating IoMT ecosystems and quickly respond to and report IoMT security incidents. This study provokes the necessity for Healthcare Internet of Forensics. Moreover, this study also reveals the need for immediate research that are capable enough to be rendered as solutions. Last but not the least, this paper provides an insight into the latest IoMT forensics research trends, which will prove beneficial in the development of Digital forensic investigation process.","url":"https://doi.org/10.5281/zenodo.5008325","authors":["Indumathi J"],"tags":["attack attribution, dynamic, evidence presentation, identification, integrated into information network, Internet of Things (IoT), interoperable communication protocols, Medical Internet of Things, preservation, Self-Adapting, Self-Configuring, Unique Identity."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5008325","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.5008326","name":"OPEN RESEARCH CHALLENGES IN HEALTH CARE INTERNET OF FORENSICS (H-IoF)","source":"datacite","abstract":"The human race has to acquaint with the up-to-date developments in order to be competent enough to regulate technology and to embrace the evolving healthcare technologies in order to stay pertinent in the imminent years. The health care data generated by the IoMT in the healthcare sector, poses many hurdles in managing them as they are of different types, voluminous, and are generated at high speed, making it difficult to store in local machines. IoMT is a sub branch of IoT and it deals with the medical devices and health care related crimes and it demands the examination of the relevant devices; besides the other research challenges like security, privacy etc., In order to settle the dispute among the parties legally, after the occurrence of a data breach event; a digital forensics mechanism has to be devised proactively in order to regulate and renovates the chain of events by examining the physical evidence and electronic data; apply analytical techniques to detect, excerpt, preserve, and analyze digital information; Post-Mortem investigation; case-centered; time-restricted process; Forensics Readiness; stipulate the judicial area and legal characteristics in service legal agreements concerning the forensics issues. This paper work presents a rationalized review of the Healthcare Internet of Things (H-IoT), rationale for the study of IoMT forensics, applications, various open research challenges in Healthcare Internet of Forensics (H-IoF). Healthcare Internet of Forensics or IoMT forensics, an umbrella term, encasing issues of IoMT and Digital Forensics, may support in investigating IoMT ecosystems and quickly respond to and report IoMT security incidents. This study provokes the necessity for Healthcare Internet of Forensics. Moreover, this study also reveals the need for immediate research that are capable enough to be rendered as solutions. Last but not the least, this paper provides an insight into the latest IoMT forensics research trends, which will prove beneficial in the development of Digital forensic investigation process.","url":"https://doi.org/10.5281/zenodo.5008326","authors":["Indumathi J"],"tags":["attack attribution, dynamic, evidence presentation, identification, integrated into information network, Internet of Things (IoT), interoperable communication protocols, Medical Internet of Things, preservation, Self-Adapting, Self-Configuring, Unique Identity."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.5008326","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.4994316","name":"GLOBALIZATION AND CYBER CRIMES: A REVIEW OF FORMS AND EFFECTS OF CYBER CRIME IN NIGERIA","source":"datacite","abstract":"Globalization involves interaction, collaboration and integration among individuals, organizations, societies, and governments of different nations. Globalization has enhanced progress in various parts of the world in different ways. Over the years, it has promoted access to education, transportation, communication, health facilities, importation and exportation, employment opportunities, revenue for the government and good standard of living for the people. Other aspects of the society that have been greatly influenced by globalization include trade and technology. Advancement in information technology presents new strategies for engaging in globalized economic activities as it facilitates easy transfer of properties, resources, money and collaboration with distant partners. A major negative impact on the society associated with the use of technology in the contemporary time however, is cybercrime. The paper investigates the various forms of cybercrimes, the effects and prevention of cybercrimes in Nigeria, and the connection between cybercrime and globalization from the reviews of literature. It was discovered that cybercrimes have deleterious effects on the lives, economies and international reputations of nations. Therefore, the battle against cybercrimes requires a holistic approach. Users of cyberspace are encouraged to be security conscious and engage antivirus computer programs to prevent cybercrime activities. At the same time, the government should enact comprehensive laws and regulations governing cyber security to punish offenders.","url":"https://doi.org/10.5281/zenodo.4994316","authors":["Bosede Olanike Awoyemi","Olufunmilola Adekiitan Omotayo","Mpapalika, Jane John"],"tags":["Globalization; cybercrime; Nigeria, Cybercriminals, Victim and Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.4994316","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.4994317","name":"GLOBALIZATION AND CYBER CRIMES: A REVIEW OF FORMS AND EFFECTS OF CYBER CRIME IN NIGERIA","source":"datacite","abstract":"Globalization involves interaction, collaboration and integration among individuals, organizations, societies, and governments of different nations. Globalization has enhanced progress in various parts of the world in different ways. Over the years, it has promoted access to education, transportation, communication, health facilities, importation and exportation, employment opportunities, revenue for the government and good standard of living for the people. Other aspects of the society that have been greatly influenced by globalization include trade and technology. Advancement in information technology presents new strategies for engaging in globalized economic activities as it facilitates easy transfer of properties, resources, money and collaboration with distant partners. A major negative impact on the society associated with the use of technology in the contemporary time however, is cybercrime. The paper investigates the various forms of cybercrimes, the effects and prevention of cybercrimes in Nigeria, and the connection between cybercrime and globalization from the reviews of literature. It was discovered that cybercrimes have deleterious effects on the lives, economies and international reputations of nations. Therefore, the battle against cybercrimes requires a holistic approach. Users of cyberspace are encouraged to be security conscious and engage antivirus computer programs to prevent cybercrime activities. At the same time, the government should enact comprehensive laws and regulations governing cyber security to punish offenders.","url":"https://doi.org/10.5281/zenodo.4994317","authors":["Bosede Olanike Awoyemi","Olufunmilola Adekiitan Omotayo","Mpapalika, Jane John"],"tags":["Globalization; cybercrime; Nigeria, Cybercriminals, Victim and Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.4994317","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.20381/ruor-26128","name":"DT-DNA: Devising a DNA Paradigm for Modeling Health Digital Twins","source":"datacite","abstract":"The potential of Digital twin (DT) technology outside of the industrial field has been recognized by researchers who have promoted the vision of applying DTs technology beyond manufacturing, to purposes such as enhancing human well-being and improving quality of life (QoL). The expanded definition of DTs to incorporate living and nonliving physical entities into the definition of DTs was a key motivation behind the model introduced in this thesis for building health digital twins of citizens. In contrast with DTs that have been developed in more industrial fields, this type of digital twins modeling necessitates protecting each citizen's unique identity while also representing features common to all citizens in a unified way. In nature, DNA is an example of a model that is both unified, common to all humans, and unique, distinguishing each human as an individual. DNA’s architecture is what inspired us to propose a digital twin DNA (DT-DNA) model as the basis for building health DTs for citizens. A review of the literature shows that no unified model for citizens’ health has been developed that can act as a base for building digital twins of citizens while also protecting their unique identity thus we aim to fill this gap in this research. Accordingly, in this thesis, we proposed a DT-DNA model, which is specifically designed to protect the unique identity of each citizen’s digital twin, similar to what DNA does for each human. We also proposed a DT-DNA-based framework to build standardized health digital twins of citizens on micro, meso and macro levels using two ISO standards: ISO/IEEE 11073 (X73) and ISO 37120. To achieve our goal, we started by analyzing the biological DNA model and the influencing factors shaping health in smart cities. The purpose of the first is to highlight the DNA model features which provide the building blocks for our DT-DNA model. The purpose of the latter is to determine the main bases of our DT-DNA model of health DTs. Based on the analysis results; we proposed DT-DNA to model health DTs for citizens. In keeping with our DNA analogy, we have identified four bases, A, T, G, and C, for our unified and unique DT-DNA model. The A base in the proposed model represents a citizen’s anthropometric when we build the DT-DNA on an individual level and represents the city’s regulatory authorities when we build the DT-DNA on community and city levels. The T base represents different tasks included in the provided health data that are required to model citizens’ health DT-DNA on different levels. The G base represents the geographic and temporal information of the city, where the citizen exists at the time of data collection. The C base represents the context at the time of data collection. To proof the concept, we present our initial work on building health DTs for citizens in four case studies. The first two case studies are dedicated for health DTs at the micro level, the third case study is dedicated for health DTs at the meso level and the fourth case study is dedicated for health DTs at the macro level. In addition, we developed an algorithm to compare cities in terms of their community fitness and health services status. The four case studies provide promising results in terms of applicability of the proposed DT-DNA model and framework in handling the health data of citizens, communities and cities, collected through various sources, and presenting them in a standardized, unique model.","url":"https://doi.org/10.20381/ruor-26128","authors":["Badawi, Hawazin Faiz"],"tags":["Digital twin","DNA","Health","well-being","Standards","ISO 37120","ISO/IEEE 11073","X73"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.20381/ruor-26128","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.1092857","name":"Finite Element Dynamic Analysis Of Composite Structure Cracks","source":"datacite","abstract":"Material damages dynamic analysis is difficult to deal with different material geometry and mechanism. In addition, it is difficult to measure the dynamic behavior of cracks, debond and delamination inside the material. Different simulation methods are developed in recent years for different physical features of mechanical systems like vibration and acoustic. Nonlinear fractures are analyzed and identified for different locations in this paper. The main idea of this work is to perform dynamic analysis on different types of materials (from normal homogeneous material to complex composite laminates). Technical factors like cracks, voids, interfaces and the damages’ locations are evaluated. In this project the modal analysis is performed on different types of materials. The results could be helpful in finding modal frequencies, natural frequencies, Time domain and fast Fourier transform (FFT) in industrial applications.","url":"https://doi.org/10.5281/zenodo.1092857","authors":["Zargar, Omid A."],"tags":["Finite element method","dynamic analysis","vibration and acoustic","composite","crack","delamination."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2014","doi":"10.5281/zenodo.1092857","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"doi:10.5281/zenodo.1092858","name":"Finite Element Dynamic Analysis Of Composite Structure Cracks","source":"datacite","abstract":"Material damages dynamic analysis is difficult to deal with different material geometry and mechanism. In addition, it is difficult to measure the dynamic behavior of cracks, debond and delamination inside the material. Different simulation methods are developed in recent years for different physical features of mechanical systems like vibration and acoustic. Nonlinear fractures are analyzed and identified for different locations in this paper. The main idea of this work is to perform dynamic analysis on different types of materials (from normal homogeneous material to complex composite laminates). Technical factors like cracks, voids, interfaces and the damages’ locations are evaluated. In this project the modal analysis is performed on different types of materials. The results could be helpful in finding modal frequencies, natural frequencies, Time domain and fast Fourier transform (FFT) in industrial applications.","url":"https://doi.org/10.5281/zenodo.1092858","authors":["Zargar, Omid A."],"tags":["Finite element method","dynamic analysis","vibration and acoustic","composite","crack","delamination."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2014","doi":"10.5281/zenodo.1092858","addedAt":"2026-09-01T01:47:41.900Z","updatedAt":"2026-09-01T01:47:41.900Z"},{"id":"oa:W4214663399","name":"Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy","source":"openalex","abstract":"The present paper deals with an infrastructure digitization policy to optimize maintenance processes and energy efficiency to transform port areas to ZED (Zero Energy District). The Lazio Region started the process for all its ports in 2020. The Anzio port started and developed as a pilot project as it is a particularly representative sample for the Mediterranean Sea reality due to its geomorphological conformation. The study aimed to develop energy-saving procedures and strategies and integrate production systems from Renewable Energy Systems (RESs) for sustainable mobility. In the article, these strategies are described in detail and energy analysis is carried out, starting from the current state and demonstrating the potential energy self-sufficiency of the infrastructure. Finally, the investigation’s potential utilizing a Digital Twin (DT) of the area is highlighted. Furthermore, the BIM (Building Information Modeling) and GIS (Geographic Information System) combining possibility to maximize the energy efficiency measures beneficial impact are discussed.","url":"https://doi.org/10.3390/en15051817","authors":["Sofia Agostinelli","Fabrizio Cumo","Meysam Majidi Nezhad","Giuseppe Orsini","Giuseppe Piras"],"tags":["Renewable energy","Digitization","Geographic information system","Port (circuit theory)","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.3390/en15051817","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4299554931","name":"A survey on blockchain-enabled federated learning and its prospects with digital twin","source":"openalex","abstract":"Digital Twin (DT) supports real time analysis and provides a reliable simulation platform in the Internet of Things (IoT). The creation and application of DT hinges on amounts of data, which poses pressure on the application of Artificial Intelligence (AI) for DT descriptions and intelligent decision-making. Federated Learning (FL) is a cutting-edge technology that enables geographically dispersed devices to collaboratively train a shared global model locally rather than relying on a data center to perform model training. Therefore, DT can benefit by combining with FL, successfully solving the ”data island” problem in traditional AI. However, FL still faces serious challenges, such as enduring single-point failures, suffering from poison attacks, lacking effective incentive mechanisms. Before the successful deployment of DT, we should tackle the issues caused by FL. Researchers from industry and academia have recognized the potential of introducing Blockchain Technology (BT) into FL to overcome the challenges faced by FL, where BT acting as a distributed and immutable ledger, can store data in a secure, traceable, and trusted manner. However, to the best of our knowledge, a comprehensive literature review on this topic is still missing. In this paper, we review existing works about blockchain-enabled FL and visualize their prospects with DT. To this end, we first propose evaluation requirements with respect to security, fault-tolerance, fairness, efficiency, cost-saving, profitability, and support for heterogeneity. Then, we classify existing literature according to the functionalities of BT in FL and analyze their advantages and disadvantages based on the proposed evaluation requirements. Finally, we discuss open problems in the existing literature and the future of DT supported by blockchain-enabled FL, based on which we further propose some directions for future research.","url":"https://doi.org/10.1016/j.dcan.2022.08.001","authors":["Kangde Liu","Zheng Yan","Xueqin Liang","Raimo Kantola","Chuangyue Hu"],"tags":["Computer science","Single point of failure","Software deployment","Blockchain","Incentive"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-07","doi":"https://doi.org/10.1016/j.dcan.2022.08.001","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4402910794","name":"Decision Support System for Digital Twin‐based Smart Manufacturing Systems and Design in Industry 5.0","source":"openalex","abstract":"Risk-free management is critical for achieving human-centric industrialization, as envisioned by Factory 5.0, which calls for the unification of man-machine and working environment safety, which is knowledge-oriented. Occupational safety in factories has come a long way, but there is still a long way to go before it catches up. In order to do that we define three issues that must be tackled: the use of the existing safety methods and management strategies, identifying and assessing the cause of risky situations, and being able to provide insights into the intricate interplay of man-machine interaction context. To solve the identified issues, a reasoning technique grounded on digital twins (DTs) is proposed for industrially risky situations. First, we present the inference engine framework, which deduces a fresh fact from the old one, followed by a visual representation of the ontology of risky situations or states of a working environment. Following the generation of the digital datasets, a high-fidelity DT was developed to mimic all potentially dangerous circumstances. After that, the digital dataset is combined with the original dataset for schooling and examining the identified system, which senses risky or hazardous situations connected to the inference framework for reasoning. Finally, a trial shows that the recommended practice methods are capable of addressing the identified three issues.","url":"https://doi.org/10.1002/9781394195336.ch3","authors":["B. Akoramurthy","B. Surendiran","K. Dhivya","S. Chowdhury","Ramya Govindaraj","Gautam Srivastava"],"tags":["Smart manufacturing","Manufacturing engineering","Industry 4.0","Decision support system","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-27","doi":"https://doi.org/10.1002/9781394195336.ch3","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4385950258","name":"A multi-level modelling and fidelity evaluation method of digital twins for creating smart production equipment in Industry 4.0","source":"openalex","abstract":"Rapid advances in new-generation information technologies have been the main driving force for the transformation of manufacturing enterprises in Industry 4.0. Digital twin (DT), as a key technology to promote intelligent manufacturing, has shown great potential for manufacturing enterprises to create an industrial intelligence-driven production equipment through in-depth integration of cyber-physical systems. However, the lack of a systematic effective DT modelling method with a supporting evaluation metric is the most important factor restricting the application of DT in manufacturing enterprises. To bridge the gap, this paper proposes a novel multi-level modelling and fidelity evaluation (MLM&FE) method of DT for creating smart production equipment in manufacturing enterprises, which could help enterprises establish an industrial intelligence-driven production environment to quickly respond to changes in the customised global market, thus greatly improving competitiveness of the enterprises. Specifically, this paper firstly designs a reference framework for DT-enhanced smart production equipment, on which an MLM&FE architecture is proposed. Then, key implementation methodologies and tools for MLM&FE are introduced from the perspective of data space modelling, virtual space modelling, knowledge space modelling, model integration and evaluation. Finally, the developed smart production equipment prototype demonstrates the feasibility and effectiveness of DT MLM&FE.","url":"https://doi.org/10.1080/00207543.2023.2246161","authors":["Chao Zhang","Jinɡjinɡ Li","Guanghui Zhou","Qian Huang","Min Zhang","Yifan Zhi","Zhibo Wei"],"tags":["Production (economics)","Manufacturing engineering","Industry 4.0","Key (lock)","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-17","doi":"https://doi.org/10.1080/00207543.2023.2246161","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4311373072","name":"Smart and Resilient Transformation of Manufacturing Firms","source":"openalex","abstract":"The smart and resilient transformation of manufacturing firms has flourished in the last decade. This paper investigates the smart and resilient transformation of manufacturing firms with the application of digital services. It uses a Serbian data set of 136 manufacturing firms from the Digital Servitization Survey from 2022 coordinated by IFIP WG5.7. The authors applied a different method approach through social network analysis, correlation analysis, and interviews with representatives from the manufacturing firms. The main results show that manufacturing firms that apply an adequate combination of services and digital technologies have the highest impact on the network of manufacturing firms. Moreover, the results show that applying digital technologies, such as additive manufacturing/3D printing, big data analytics, and digital twin, increases the gross annual turnover of manufacturing firms in the COVID-19 era. Finally, the results show that for a successful smart and resilient transformation, manufacturing firms need to develop a strategy and motivation oriented to profit to be resilient enough to withstand market change.","url":"https://doi.org/10.3390/pr10122674","authors":["Aleksandar Sofić","Slavko Rakić","Giuditta Pezzotta","Branko Markoski","Veronica Arioli","Uglješa Marjanović"],"tags":["Digital transformation","Smart manufacturing","Business","Industrial organization","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-12","doi":"https://doi.org/10.3390/pr10122674","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4388451002","name":"A Digital Twin of Charging Stations for Fleets of Electric Vehicles","source":"openalex","abstract":"The increasing concern over the environmental impact of fossil fuels and associated CO2 emissions created a growing interest on the use of electric vehicles (EVs) and green energy utilization. In this context, the widespread adoption of EVs should be accompanied by the introduction of generation from renewable energy sources (RES). That insertion, at the distribution level, presents challenges that result from their intermittent nature, requiring demand-response measures that can be addressed by adjusting the charging processes to match the available power. In the framework of EVs renting companies, it is essential to have an efficient charging management that allows achieving high levels of self-consumption and self-sufficiency, lower operational costs and lower payback periods for the investments made. The utilization of digital twins (DTs) can be key to achieve those goals, providing accurate simulations and predictions. Their use in the context of EV charging can offer valuable insights into optimizing charging scheduling and predicting energy demands, taking into consideration distinct scenarios. This paper presents the work done to implement DTs of a set of charging stations (CSs) and EVs, which allow the modeling and improved management of the charging processes of EV fleets, for a set of CSs, integrating RES. In this charging context, experimental results using the DT were applied considering a predicted mobility. The applied scenarios supported an effective and optimized managing performance, reaching low paybacks and high self-sufficiency values. The obtained results show that this method is a viable and cost-effective solution for companies renting EVs.","url":"https://doi.org/10.1109/access.2023.3330833","authors":["André M. B. Francisco","Jânio Monteiro","Pedro J. S. Cardoso"],"tags":["Computer science","Renewable energy","Context (archaeology)","Environmental economics","Electric vehicle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3330833","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4282836908","name":"A Comprehensive Survey of Digital Twins and Federated Learning for Industrial Internet of Things (IIoT), Internet of Vehicles (IoV) and Internet of Drones (IoD)","source":"openalex","abstract":"As a result of the advancement in the fourth industrial revolution and communication technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet of Things (IIoT), the Internet of Vehicles (IoV), and the Internet of Drones (IoD) is increasing. However, the deployment of DT and FL for IoV is challenging. In this survey, we focus on DT and FL for IIoT, IoV, and IoD. Initially, we analyzed the existing surveys. In this paper, we present the applications of DT and FL in IIoT, IoV, and IoD. We also present the open research issues and future directions.","url":"https://doi.org/10.3390/asi5030056","authors":["Sonain Jamil","MuhibUr Rahman","Fawad Fawad"],"tags":["Software deployment","The Internet","Drone","Computer science","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-13","doi":"https://doi.org/10.3390/asi5030056","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3211067865","name":"Digitalization of Manufacturing Processes with Startup Collaboration: Arçelik Developing a Digital Twin with Simularge","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-80003-1_4","authors":["Nihan Yıldırım","Deniz Tunçalp","Gizem Gökçer İstanbullu","Yiğit Konuşkan","Mehmet İnan","Oğuz Yasin","Büryan Apaçoğlu-Turan","Erhan Turan","Ömer Faruk Özer","Vügar Kerimoğlu"],"tags":["Thermoforming","Manufacturing engineering","Scrap","Engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-3-030-80003-1_4","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"oa:W3131500097","name":"Integration of digital twin and BIM technologies within factories of the future","source":"openalex","abstract":"With the development of information technologies for industrial plants, more and more tools for digital design, creation and operation of industrial facilities are emerged. In particular, significant success in development of Building Information Modeling (BIM) and Digital Twin technologies (DT) should be noted, which act as tools for digital transformation and representation for construction and production technologies respectively. In this regard, in this article, the principles and methods of integrating BIM and DT technologies within the framework of the so-called “Factories of the Future” (FoF) are formulated. Wherein the physical twin of FoF includes both production technologies and production infrastructure with buildings, structures and systems included in it, while particular attention is given to Operation and Maintenances (O&M) stage of object lifecycle which is less developed in comparison with design and creation stages. In addition, this paper also considers the role of systems information modeling (SIM) in such objects. Moreover, the concept of “digital asset”, closely related to the FoF, is examined and semantically analyzed, especially from information ownership point of view. The features of convergence of BIM and DT technologies are analyzed, and the levels of development of these technologies are compared. Finally, the directions of further research in this interdisciplinary branch of researches and development are formulated.","url":"https://doi.org/10.34910/mce.101.14","authors":["Vladimir Badenko","Nikolai Bolshakov","Elena Tishchenko","Аlexandr Fedotov","Alberto Celani","Vladimir Yadykin"],"tags":["Engineering","Construction engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.34910/mce.101.14","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4389203277","name":"Delving into the Digital Twin Developments and Applications in the Construction Industry: A PRISMA Approach","source":"openalex","abstract":"Construction 4.0 is witnessing exponential growth in digital twin (DT) technology developments and applications, revolutionizing the adoption of building information modelling (BIM) and other emerging technologies used throughout the built environment lifecycle. BIM provides technologies, procedures, and data schemas representing building components and systems. At the same time, the DT enhances this with real-time data for integrating cyber-physical systems, enabling live asset monitoring and better decision making. Despite being in the early stages of development, DT applications have rapidly progressed in the AEC sector, resulting in a diverse literature landscape due to the various technologies and parameters involved in fully developing the DT technology. The intricate complexities inherent in digital twin advancements have confused professionals and researchers. This confusion arises from the nuanced distinctions between the two technologies, i.e., BIM and DT, causing a convergence that hinders realizing their potential. To address this confusion and lead to a swift development of DT technology, this study provides a holistic review of the existing research focusing on the critical components responsible for developing the applications of DT technology in the construction industry. It highlights five crucial elements: technologies, maturity levels, data layers, enablers, and functionalities. Additionally, it identifies research gaps and proposes future avenues for streamlined DT developments and applications in the AEC sector. Future researchers and practitioners can target data integrity, integration and transmission, bi-directional interoperability, non-technical factors, and data security to achieve mature digital twin applications for AEC practices. This study highlights the growing significance of DTs in construction and provides a foundation for further advancements in this field to harness its potential to transform built environment practices. It also pinpoints the latest developments in AI, namely the large language model (LLM) and retrieval-augmented generation (RAG)’s implications for DT education, policies, and the construction industry’s practices.","url":"https://doi.org/10.3390/su152316436","authors":["Muhammad Afzal","Rita Yi Man Li","Muhammad Shoaib","Muhammad Faisal Ayyub","Lavinia Chiara Tagliabue","Muhammad Bilal","Habiba Ghafoor","Otilia Manta"],"tags":["Interoperability","Maturity (psychological)","Building information modeling","Emerging technologies","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-30","doi":"https://doi.org/10.3390/su152316436","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4383648150","name":"Relations of Digital Twin Fidelity and Benefits: A Design-to-Value Approach","source":"openalex","abstract":"Digital Twin (DT) is an important concept in research and practice. Its relevance spans across all product life cycle phases, including design, prototyping, manufacturing, service, and disposal. Despite its attention, practical examples of DTs in product design and manufacturing are scarce. One of the reasons for this is little understanding of the benefits. Organizations face problems in predicting whether applying DTs will achieve benefits. However, realistic benefit expectations and a qualitative understanding of the evolution of benefits are essential for successfully applying DTs. Fidelity is thereby a crucial factor influencing costs and savings potential. Consequently, the Digital Twin Benefit Curves (DT-BC) were developed using Design Science Research while drawing on existing literature. Results were evaluated in a focus group with 5 DT experts from 3 different aerospace and automotive OEMs and 1 university, along with additional interviews. The developed curves serve as a reference for managerial decisions concerning DT design and application. Additionally, they strengthen the understanding of DT benefits and prevent stakeholders from developing false expectations that lead to acceptance issues. By doing so, DT-BCs facilitate Digital Transformation. The results provide a novel approach to make DT benefit evolution clear and tangible by visualizing its relation to fidelity.","url":"https://doi.org/10.1016/j.procir.2023.03.126","authors":["Christian Kober","Beyza Nur Algan","Marc Fette","Jens P. Wulfsberg"],"tags":["Fidelity","Original equipment manufacturer","Product (mathematics)","Digital transformation","New product development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procir.2023.03.126","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4396659544","name":"Impact behaviors of additively manufactured metals and structures: A review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijimpeng.2024.104992","authors":["Yang Liu","Tao Wang","Tao Wang","Hongyu Chen","Shuxin Li","Shuxin Li","Di Wang","Di Wang","Yonggang Wang","Konrad Kosiba"],"tags":["Materials science","Structural engineering","Composite material","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-06","doi":"https://doi.org/10.1016/j.ijimpeng.2024.104992","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3049498639","name":"Digital Twins and Their Role in Model-Assisted Design of Experiments","source":"openalex","abstract":"","url":"https://doi.org/10.1007/10_2020_136","authors":["Kim B. Kuchemüller","Ralf Pörtner","Johannes Möller"],"tags":["Bioprocess","Design of experiments","Process (computing)","Computer science","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/10_2020_136","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3195892119","name":"Digital Twin: Conclusion and Future Perspectives","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-77539-1_11","authors":["Josip Stjepandić","Markus Sommer","Sebastian Stobrawa"],"tags":["Enabling","Implementation","Computer science","Product (mathematics)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-23","doi":"https://doi.org/10.1007/978-3-030-77539-1_11","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4408277532","name":"Is it possible to develop a digital twin for noise monitoring in manufacturing?","source":"openalex","abstract":"Noise monitoring is important in the context of manufacturing because it can help maintain a safe and healthy workspace for employees. Current approaches for noise monitoring in manufacturing are based on acoustic sensors, whose measured sound pressure levels (SPL) are shown as bar/curve charts and acoustic heat maps. In such a way, the noise emission and propagation process is not fully addressed. This paper proposes a digital twin (DT) for noise monitoring in manufacturing using augmented reality (AR) and the phonon tracing method (PTM). In the proposed PTM/AR-based DT, the noise is represented by 3D particles (called phonons) emitting and traversing in a spatial domain. Using a mobile AR device (HoloLens 2), users are able to visualize and interact with the noise emitted by machine tools. To validate the feasibility of the proposed PTM/AR-based DT, two use cases are carried out. The first use case is an offline test, where the noise data from a machine tool are first acquired and used for the implementation of PTM/AR-based DT with different parameter sets. The result of the first use case is the understanding between the AR performance of HoloLens 2 (frame rate) and the setting of the initial number of phonons and sampling frequency. The second use case is an online test to demonstrate the in-situ noise monitoring capability of the proposed PTM/AR-based DT. The result shows that our PTM/AR-based DT is a powerful tool for visualizing and assessing the real-time noise in manufacturing systems.","url":"https://doi.org/10.12688/digitaltwin.17931.2","authors":["Li Yi","Patrick Ruediger-Flore","Ali Karnoub","Jan Mertes","Moritz Glatt","Jan C. Aurich"],"tags":["Noise (video)","Computer science","Human–computer interaction","Artificial intelligence","Image (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-10","doi":"https://doi.org/10.12688/digitaltwin.17931.2","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3091271616","name":"A Methodology for Developing Digital Twins in the Manufacturing Plant.","source":"openalex","abstract":"North Carolina State University Theses Industrial Engineering.","url":"https://openalex.org/W3091271616","authors":["Hasan Latif"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-06-26","doi":"","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4315640588","name":"TwinXR: Method for using digital twin descriptions in industrial eXtended reality applications","source":"openalex","abstract":"Digital twins (DTs) and eXtended Reality (XR) are two core technological enablers for engineering in the Metaverse that can accelerate the human-centric Industry 5.0 transformation. The digital twin technology provides a digital representation of a physical asset with data linkages for inspection, monitoring, and prediction of complex processes or systems, while eXtended reality offers real-and-virtual combined environments for human users to interact with machines. However, the synergies between digital twins and eXtended reality remain understudied. This work addresses this research gap by introducing a novel method “TwinXR” that leverages ontology-based descriptions of Digital twins, i.e., digital twin documents, in industrial eXtended reality applications. To ease the use of the TwinXR method, we publish a Unity package that allows data flow and conversion between eXtended reality applications and digital twin documents on the server. Finally, the work applies the TwinXR method in two industrial eXtended reality applications involving overhead cranes and a robot arm to demonstrate the use and indicate the validity of the method. We conclude that the TwinXR method is a promising way to advance the synergies between digital twins and eXtended reality: For eXtended reality, TwinXR enables efficient and scalable eXtended reality development; For digital twins, TwinXR unlocks and demonstrates the potential of digital twins for data interchange and system interoperation. Future work includes introducing more detailed principles of Semantic Web and Knowledge Graph, as well as developing factory-level TwinXR-compatible applications.","url":"https://doi.org/10.3389/frvir.2023.1019080","authors":["Xinyi Tu","Juuso Autiosalo","Riku Ala-Laurinaho","Chao Yang","Pauli Salminen","Kari Tammi"],"tags":["Computer science","Virtual reality","Digital transformation","Metaverse","Interoperation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-12","doi":"https://doi.org/10.3389/frvir.2023.1019080","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3049740564","name":"Towards a Cyber-Physical Manufacturing Cloud through Operable Digital Twins and Virtual Production Lines","source":"openalex","abstract":"In last decade, the paradigm of Cyber-Physical Systems (CPS) has integrated industrial manufacturing systems with Cloud Computing technologies for Cloud Manufacturing. Up to 2015, there were many CPS-based manufacturing systems that collected real-time machining data to perform remote monitoring, prognostics and health management, and predictive maintenance. However, these CPS-integrated and network ready machines were not directly connected to the elements of Cloud Manufacturing and required human-in-the-loop. Addressing this gap, we introduced a new paradigm of Cyber-Physical Manufacturing Cloud (CPMC) that bridges a gap between physical machines and virtual space in 2017. CPMC virtualizes machine tools in cloud through web services for direct monitoring and operations through Internet. Fundamentally, CPMC differs with contemporary modern manufacturing paradigms. For instance, CPMC virtualizes machining tools in cloud using remote services and establish direct Internet-based communication, which is overlooked in existing Cloud Manufacturing systems. Another contemporary, namely cyber-physical production systems enable networked access to machining tools. Nevertheless, CPMC virtualizes manufacturing resources in cloud and monitor and operate them over the Internet. This dissertation defines the fundamental concepts of CPMC and expands its horizon in different aspects of cloud-based virtual manufacturing such as Digital Twins and Virtual Production Lines. Digital Twin (DT) is another evolving concept since 2002 that creates as-is replicas of machining tools in cyber space. Up to 2018, many researchers proposed state-of-the-art DTs, which only focused on monitoring production lifecycle management through simulations and data driven analytics. But they overlooked executing manufacturing processes through DTs from virtual space. This dissertation identifies that DTs can be made more productive if they engage directly in direct execution of manufacturing operations besides monitoring. Towards this novel approach, this dissertation proposes a new operable DT model of CPMC that inherits the features of direct monitoring and operations from cloud. This research envisages and opens the door for future manufacturing systems where resources are developed as cloud-based DTs for remote and distributed manufacturing. Proposed concepts and visions of DTs have spawned the following fundamental researches. This dissertation proposes a novel concept of DT based Virtual Production Lines (VPL) in CPMC in 2019. It presents a design of a service-oriented architecture of DTs that virtualizes physical manufacturing resources in CPMC. Proposed DT architecture offers a more compact and integral service-oriented virtual representations of manufacturing resources. To re-configure a VPL, one requirement is to establish DT-to-DT collaborations in manufacturing clouds, which replicates to concurrent resource-to-resource collaborations in shop floors. Satisfying the above requirements, this research designs a novel framework to easily re-configure, monitor and operate VPLs using DTs of CPMC. CPMC publishes individual web services for machining tools, which is a traditional approach in the domain of service computing. But this approach overcrowds service registry databases. This dissertation introduces a novel fundamental service publication and discovery approach in 2020, OpenDT, which publishes DTs with collections of services. Experimental results show easier discovery and remote access of DTs while re-configuring VPLs. Proposed researches in this dissertation have received numerous citations both from industry and academia, clearly proving impacts of research contributions.","url":"https://openalex.org/W3049740564","authors":["Rakib Shahriar"],"tags":["Cloud computing","Cyber-physical system","Production (economics)","Computer science","Cloud manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3175132848","name":"Digital twin–based stamping system for incremental bending","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-021-07422-7","authors":["Chenghui Zhou","Feifei Zhang","Bo Wei","Yangjun Lin","Kai He","Ruxu Du"],"tags":["Bending","Process (computing)","Curvature","Deformation (meteorology)","Object (grammar)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-18","doi":"https://doi.org/10.1007/s00170-021-07422-7","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W2899575912","name":"PILOT PRODUCTION ENVIRONMENTS DRIVEN BY DIGITAL TWINS","source":"openalex","abstract":"Establishing production environments requires joint decision-making by stakeholders from many disciplines at different levels of aggregation, because of the significant, unpredictable, and risky investments involved. Pilot plants offer a platform to develop, test, improve, and upscale (parts of) a production environment. They consist of physical and virtual components that are integrated, based on the digital twin concept. This concept synthesises sensoring/measurement (in situ and ex situ) with the modelling and simulation of existing and evolving resources/processes at operational, tactical, and strategic levels. Virtual dashboards supplement the pilot plant to provide an insightful basis for decision-making for all the perspectives and stakeholders involved.","url":"https://doi.org/10.7166/29-3-2047","authors":["Eric Lutters"],"tags":["Production (economics)","Systems engineering","Joint (building)","Engineering","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-11-01","doi":"https://doi.org/10.7166/29-3-2047","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4415212808","name":"Digital Twin for Automated Post-processing Chain in Additive Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-032-05610-8_13","authors":["Sissy-Linh Nguyen","Omnya Ahmed","Robert Joost","Pascal Lünnemann","Terence Larusch"],"tags":["Software deployment","Computer science","Key (lock)","Process (computing)","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-15","doi":"https://doi.org/10.1007/978-3-032-05610-8_13","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4366828751","name":"Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks","source":"openalex","abstract":"Relevant research has investigated how predictive modeling algorithms, deep-learning-based sensing technologies, and big urban data configure immersive hyperconnected virtual spaces in digital twin cities: digital twin modeling tools, monitoring and sensing technologies, and Internet-of-Things-based decision support systems articulate big-data-driven urban geopolitics. This systematic review aims to inspect the recently published literature on digital twin simulation tools, spatial cognition algorithms, and multi-sensor fusion technology in sustainable urban governance networks. We integrate research developing on how blockchain-based digital twins, smart infrastructure sensors, and real-time Internet of Things data assist urban computing technologies. The research problems are whether: data-driven smart sustainable urbanism requires visual recognition tools, monitoring and sensing technologies, and simulation-based digital twins; deep-learning-based sensing technologies, spatial cognition algorithms, and environment perception mechanisms configure digital twin cities; and digital twin simulation modeling, deep-learning-based sensing technologies, and urban data fusion optimize Internet-of-Things-based smart city environments. Our analyses particularly prove that virtual navigation tools, geospatial mapping technologies, and Internet of Things connected sensors enable smart urban governance. Digital twin simulation, data visualization tools, and ambient sound recognition software configure sustainable urban governance networks. Virtual simulation algorithms, deep learning neural network architectures, and cyber-physical cognitive systems articulate networked smart cities. Throughout January and March 2023, a quantitative literature review was carried out across the ProQuest, Scopus, and Web of Science databases, with search terms comprising “sustainable urban governance networks” + “digital twin simulation tools”, “spatial cognition algorithms”, and “multi-sensor fusion technology”. A Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) flow diagram was generated using a Shiny App. AXIS (Appraisal tool for Cross-Sectional Studies), Dedoose, MMAT (Mixed Methods Appraisal Tool), and the Systematic Review Data Repository (SRDR) were used to assess the quality of the identified scholarly sources. Dimensions and VOSviewer were employed for bibliometric mapping through spatial and data layout algorithms. The findings gathered from our analyses clarify that Internet-of-Things-based smart city environments integrate 3D virtual simulation technology, intelligent sensing devices, and digital twin modeling.","url":"https://doi.org/10.3390/math11091981","authors":["Elvira Nica","Gheorghe H. Popescu","Miloš Poliak","Tomáš Klieštik","Oana Matilda Sabie"],"tags":["Computer science","Big data","Geospatial analysis","Smart city","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-22","doi":"https://doi.org/10.3390/math11091981","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4295183103","name":"Digital twin intelligent system for industrial internet of things-based big data management and analysis in cloud environments","source":"openalex","abstract":"This work initially surveys and illustrates the multiple open challenges in the field of industrial IoT-based Big Data management and analysis in Cloud environments. Challenges arise from fields of Machine Learning in the Cloud infrastructures, A.I. techniques of Big Data Analytics in the Cloud environments, and Federated Learning Cloud systems try to be clarified. Additionally, Reinforcement Learning is a novel technique that allows large data centers such as Cloud data centers to affect a more energy-efficient resource allocation. Moreover, we propose an architecture that tries to combine the features offered by several Cloud Providers to emerge and achieve an Energy-Efficient industrial IoT-based Big Data Management Framework (EEIBDM) established outside of every user, in Cloud. IoT data could be integrated with techniques such as Reinforcement and Federated Learning to achieve a Digital Twin scenario, for the virtual representation of industrial IoT-based Big Data of machines and rooms temperatures. Furthermore, we propose an algorithm for delivering the energy consumption of the infrastructure through the evaluation of the EEIBDM framework. Finally, some future directions as an expansion of our research are illustrated.","url":"https://doi.org/10.1016/j.vrih.2022.05.003","authors":["Christos Stergiou","Kostas E. Psannis"],"tags":["Cloud computing","Big data","Computer science","Reinforcement learning","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-01","doi":"https://doi.org/10.1016/j.vrih.2022.05.003","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4385320449","name":"Toward a concept of digital twin for monitoring assembly and disassembly processes","source":"openalex","abstract":"Quality is one of the key factors in the customer’s selection process between competing products. Producing high-quality, defect-free products that meet consumer expectations is crucial for manufacturing companies to gain a competitive advantage. Accordingly, developing appropriate defect generation models is essential in modern manufacturing companies to predict defects and plan efficient quality control and production. On the other hand, with its ability to support new business models and decision support systems, digital twin technology is one of the new technologies emerging to support digital transformation. Faster optimization algorithms, more powerful computers, and a massive increase in available data are just some of the features of digital twins that can be used to advance simulation toward real-time quality control and optimization of products and production systems. This paper aims to model the generation of defects of product variants in assembly and disassembly processes and evaluate their integration within a digital twin system to prevent the occurrence of defects and ensure product quality. The proposed strategy is expected to improve the optimization, monitoring, and diagnostic capabilities of complex product variants’ assembly and disassembly systems, realizing an upgrade from a single physical implementation to a combination of physical and digital.","url":"https://doi.org/10.1080/08982112.2023.2234017","authors":["Elisa Verna","Stefano Puttero","Gianfranco Genta","Maurizio Galetto"],"tags":["Quality (philosophy)","Upgrade","Process (computing)","Product (mathematics)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-26","doi":"https://doi.org/10.1080/08982112.2023.2234017","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4224984684","name":"Next generation DES simulation: A research agenda for human centric manufacturing systems","source":"openalex","abstract":"In this paper we introduce a research agenda to guide the development of the next generation of Discrete Event Simulation (DES) systems. Interfaces to digital twins are projected to go beyond physical representations to become blueprints for the actual “objects” and an active dashboard for their control. The role and importance of real-time interactive animations presented in an Extended Reality (XR) format will be explored. The need for using game engines, particularly their physics engines and AI within interactive simulated Extended Reality is expanded on. Importing and scanning real-world environments is assumed to become more efficient when using AR. Exporting to VR and AR is recommended to be a default feature. A technology framework for the next generation simulators is presented along with a proposed set of implementation guidelines. The need for more human centric technology approaches, nascent in Industry 4.0, are now central to the emerging Industry 5.0 paradigm; an agenda that is discussed in this research as part of a human in the loop future, supported by DES. The potential role of Explainable Artificial Intelligence is also explored along with an audit trail approach to provide a justification of complex and automated decision-making systems with relation to DES. A technology framework is proposed, which brings the above together and can serve as a guide for the next generation of holistic simulators for manufacturing.","url":"https://doi.org/10.1016/j.jii.2022.100354","authors":["Christopher Turner","Wolfgang Garn"],"tags":["Manufacturing engineering","Systems engineering","Engineering","Process management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-23","doi":"https://doi.org/10.1016/j.jii.2022.100354","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4386609224","name":"Digital Twin Application: Making a Virtual Pig House Toward Digital Livestock Farming","source":"openalex","abstract":"Digital twins, an emerging technology, are widely used in various industries. It builds a virtual space by mirroring a physical space and performs different simulations to solve problems that are complicated or impossible to solve in the physical space. Livestock farming in agriculture is evolving rapidly with the introduction of various information and communication technologies for digital farming. However, only few studies have examined the digital twin in terms of HVAC systems directly related to productivity in livestock farming. Here, we propose a novel digital twin framework for livestock farming focusing on pig houses. Livestock farming is one of perspective areas where digital twins can provide benefits for the growth of livestock and their operation in an efficient manner. To validate effect of the proposed digital twin framework for a pig house, we perform various simulations using a real-world dataset of a pig house. As a result of analyzing the energy demands for heating in pigsty based on the digital twin framework, the fan-coil unit was found to be the most energy efficient. In addition, when the optimal control of the HVAC system was applied, it was found to be more energy efficient than the conventional control method. The results obtained in this study show that our approach is superior to existing operational conventions, particularly in terms of energy efficiency.","url":"https://doi.org/10.1109/access.2023.3313618","authors":["Deuk‐Young Jeong","Seng‐Kyoun Jo","In-Bok Lee","Hakjong Shin","Jun‐Gyu Kim"],"tags":["Livestock","Computer science","Agriculture","Geography","Archaeology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3313618","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3095063702","name":"Optimal Placement of Social Digital Twins in Edge IoT Networks","source":"openalex","abstract":"In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object's capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.","url":"https://doi.org/10.3390/s20216181","authors":["Olga Chukhno","Nadezhda Chukhno","Giuseppe Araniti","Claudia Campolo","Antonio Iera","Antonella Molinaro"],"tags":["Computer science","Cloud computing","Chaining","Enhanced Data Rates for GSM Evolution","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-30","doi":"https://doi.org/10.3390/s20216181","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4283209983","name":"Knowledge-embedded machine learning and its applications in smart manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-022-01973-6","authors":["Farzam Farbiz","Mohamed Habibullah","Brahim Hamadicharef","Tomasz Maszczyk","Saurabh Aggarwal"],"tags":["Interpretability","Pipeline (software)","Machine learning","Prognostics","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-21","doi":"https://doi.org/10.1007/s10845-022-01973-6","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4367724246","name":"Recent Development Techniques on Digital Twins for Manufacturing: State of the Art","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-23615-0_8","authors":["Ghayth Gandouzi","Imen Belhadj","Moncef Hammadi","Nizar Aifaoui","Jean‐Yves Choley"],"tags":["Flexibility (engineering)","Exploit","Digital manufacturing","Revenue","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-23615-0_8","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3115864400","name":"Wireless Technology and Protocol for IIoT and Digital Twins","source":"openalex","abstract":"The industrial Internet of things (IIoT) is an important engine for manufacturing enterprises to provide intelligent products and services. The data analysis model represented by digital twins is the core of IIoT development in the manufacturing industry. With the development of IIoT, more and more attention has been paid to the application of ultra-reliable and low latency communications (URLLC) in the field of IIoT. This paper mainly introduces the development of 3GPP for URLLC in reducing delay and enhancing reliability, as well as the research on little jitter and high transmission efficiency, and further analyzes the enhanced key technologies required in the IIoT. Finally, the application of IIoT in digital twins is analyzed according to the actual situation.","url":"https://doi.org/10.23919/ituk50268.2020.9303189","authors":["Jie Tan","Xiubin Sha","Bo Dai","Ting Lu"],"tags":["Industrial Internet","Computer science","Reliability (semiconductor)","Jitter","Wireless"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-07","doi":"https://doi.org/10.23919/ituk50268.2020.9303189","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4224276576","name":"A Digital Twin Framework for Environmental Sensing with sUAS","source":"openalex","abstract":"Abstract This paper proposes a digital twin (DT) framework for point source applications in environmental sensing (ES). The DT concept has become quite popular among process and manufacturing industries for improving performance and estimating remaining useful life (RUL). However, environmental behavior, such as in gas dispersion, is ever changing and hard to model in real-time. The DT framework is applied to the point source environmental monitoring problem, through the use of hybrid modeling and optimization techniques. A controlled release case study is overviewed to illustrate our proposed DT framework and several spatial interpolation techniques are explored for source estimation. Future research efforts and directions are discussed.","url":"https://doi.org/10.1007/s10846-021-01542-8","authors":["Derek Hollenbeck","YangQuan Chen"],"tags":["Interpolation (computer graphics)","Process (computing)","Computer science","Point (geometry)","Dispersion (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-20","doi":"https://doi.org/10.1007/s10846-021-01542-8","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W2987952312","name":"DEVELOPMENT OF A METHOD TO DETERMINE CUTTING FORCES BASED ON PLANNING AND PROCESS DATA AS CONTRIBUTION FOR THE CREATION OF DIGITAL PROCESS TWINS","source":"openalex","abstract":"A digital process twin unifies information from planning and manufacturing of a machining process.Calculation and technological models allow the prediction of further information, which normally is not provided.The work shows the recording of both data sources and creation of a digital process twin for a milling application.Further the usage of technological models is shown at the example of cutting force calculation based on drive currents in combination with a material removal simulation.Also the expansion of digital process twin information for further usage in calculations and visualizations is shown on the example of a part with a high-performance material of the aerospace industry.","url":"https://doi.org/10.17973/mmsj.2019_11_2019064","authors":["Albrecht Hänel","Eric Wenkler","Thorben Schnellhardt","Christian Corinth","Alexander Brosius","Alexander Fay","Andreas Nestler"],"tags":["Process (computing)","Computer science","Process management","Manufacturing engineering","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-09","doi":"https://doi.org/10.17973/mmsj.2019_11_2019064","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W2912355522","name":"Digital Twin and Big Data","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-12-817630-6.00009-6","authors":["Fei Tao","Meng Zhang","A.Y.C. Nee"],"tags":["Bottleneck","Smart manufacturing","Big data","Computer science","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/b978-0-12-817630-6.00009-6","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3216724861","name":"Automated data-driven creation of the Digital Twin of a brownfield plant","source":"openalex","abstract":"The success of the reconfiguration of existing manufacturing systems, so called brownfield systems, heavily relies on the knowledge about the system. Reconfiguration can be planned, supported and simplified with the Digital Twin of the system providing this knowledge. However, digital models as the basis of a Digital Twin are usually missing for these plants. This article presents a data-driven approach to gain knowledge about a brownfield system to create the digital models of a Digital Twin and their relations. Finally, a proof of concept shows that process data and position data as data sources deliver the relations between the models of the Digital Twin.","url":"https://doi.org/10.1109/etfa45728.2021.9613676","authors":["Dominik Braun","Wolfgang Schloegl","Michael Weyrich"],"tags":["Brownfield","Control reconfiguration","Computer science","Digital data","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-07","doi":"https://doi.org/10.1109/etfa45728.2021.9613676","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4389937607","name":"Digital-Twin-Based Fire Safety Management Framework for Smart Buildings","source":"openalex","abstract":"In recent years, the implementation of digital twin (DT) technology has gained significant attention in various industries. However, the fire safety management (FSM) sector has been relatively slow in adopting this technology compared to other major industries. Therefore, this study aims to explore the limitations, opportunities, and challenges associated with adopting DT technology in the FSM sector and further develop a DT-based FSM framework towards smart facility management (FM). To achieve this objective, this research started by reviewing several promising DTs for FSM, including building information modeling (BIM), the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR). On this basis, a conceptual framework was synthesized in consideration of the benefits of each technology. A questionnaire was conducted for FM professionals to evaluate the proposed framework and identify the challenges of adopting DT in the FSM sector. The survey results reveal that the proposed framework can assist decision makers in obtaining comprehensive information about facilities’ communication among stakeholders. The survey results validate the potential of the adoption of DTs toward smart FM practices in FSM. The survey results provide insights into the perception of DT technology among FM practitioners and identify the current state of DT technology in the FSM sector, its expected benefits, and its potential challenges. The main barriers to adopting DTs in FSM are a lack of knowledge about DTs, their initial costs, user acceptance, difficulties in systems integration, education training costs, a lack of competence, development complexity, difficulties in data management, and a lack of trust in data security.","url":"https://doi.org/10.3390/buildings14010004","authors":["Manea Almatared","Hexu Liu","Osama Abudayyeh","Obaidullah Hakim","Mohammed Sulaiman"],"tags":["Facility management","Competence (human resources)","Conceptual framework","Knowledge management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-19","doi":"https://doi.org/10.3390/buildings14010004","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4205458993","name":"DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00521-021-06754-5","authors":["Saad Razzaq","Babar Shah","Farkhund Iqbal","Muhammad Ilyas","Fahad Maqbool","Álvaro Rocha"],"tags":["Computational Science and Engineering","Class (philosophy)","Computer science","Artificial intelligence","Mathematics education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-07","doi":"https://doi.org/10.1007/s00521-021-06754-5","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4387393994","name":"Twin Transition cosmetic roadmapping tool for supporting cosmetics manufacturing","source":"openalex","abstract":"The Twin Transition is gaining increasing relevance in the manufacturing sector as it strives to implement and exploit digital technologies to improve the Environmental Sustainability of companies. This topic holds particular relevance in the Cosmetic Industry. However, cosmetics companies, especially Small and Medium Enterprises, encounter challenges in effectively implementing digital technologies. This results in a substantial gap between the theoretical potential of the Twin Transition and the practical implementations. To fill the gap, a key role might be played by assessment and roadmapping tools that provide companies with the help and support they need. In this contribution a novel assessment and roadmapping tool is proposed. The employed methodology combines a systematic literature review with Action research approach. The proposed tool is called the Twin Transition Cosmetic Roadmapping Tool. It supports enterprises in the assessment of their current level of Twin Transition based on which a roadmap for improvement is framed. It is the first Twin Transition roadmapping tool specific for cosmetics industry. Furthermore, it encompasses all the mechanisms by which Twin Transition can be achieved throughout the entire product life cycle. The paper concludes with an application of the tool in an industrial case study, presenting and discussing the results.","url":"https://doi.org/10.1016/j.cesys.2023.100145","authors":["Daniele Perossa","Federica Acerbi","Roberto La Rocca","Luca Fumagalli","Marco Taisch"],"tags":["Relevance (law)","Cosmetics","Transition (genetics)","Sustainability","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-06","doi":"https://doi.org/10.1016/j.cesys.2023.100145","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3186388467","name":"Big Data Provision for Digital Twins in Industry 4.0 Logistics Processes","source":"openalex","abstract":"Industry 4.0 is expanding to the entire manufacturing fabric. Such evolution entails the complete digitalization of industrial processes and products, through the deployment of cyber-physical systems and automation in the shop floors, logistics and business processes. Such digitalization is achieved by extracting value, in the form of insights, decision-supporting information and detailed virtual representations of the physical industrial processes. One prominent example of such digitalization is the advent of Digital Twins, accurate virtual representations of industrial processes and products in the physical world. This work presents the development and deployment phases and procedures of a Big Data-supported Digital Twin for logistics processes in the automotive sector. The Digital Twin enables planning and optimization of logistics processes as, for instance, the optimization of stock and inventory, and planning the arrival of new parts, in order for the production to be as efficient as possible, without the risk of stopping the shop floor, ultimately enabling savings in both idle stored parts and in supplier orders' reductions.","url":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488507","authors":["Paulo Figueiras","Luis Lourenço","Rúben Costa","Diogo Graça","Gisela García","Ricardo Jardim‐Gonçalves"],"tags":["Software deployment","Automotive industry","Automation","Computer science","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-07","doi":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488507","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4412520032","name":"A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare","source":"europepmc","abstract":"Digital transformation is reshaping the healthcare field by streamlining diagnostic workflows and improving disease management. Within this transformation, Digital Twins (DTs), which are virtual representations of physical systems continuously updated by real-world data, stand out for their ability to capture the complexity of human physiology and behavior. When coupled with Artificial Intelligence (AI), DTs enable data-driven experimentation, precise diagnostic support, and predictive modeling without posing direct risks to patients. However, their integration into healthcare requires careful consideration of ethical, regulatory, and safety constraints in light of the sensitivity and nonlinear nature of human data. In this review, we examine recent progress in DTs over the past seven years and explore broader trends in AI-augmented DTs, focusing particularly on movement rehabilitation. Our goal is to provide a comprehensive understanding of how DTs bolstered by AI can transform healthcare delivery, medical research, and personalized care. We discuss implementation challenges such as data privacy, clinical validation, and scalability along with opportunities for more efficient, safe, and patient-centered healthcare systems. By addressing these issues, this review highlights key insights and directions for future research to guide the proactive and ethical adoption of DTs in healthcare.","url":"https://doi.org/10.3390/healthcare13141763","authors":["Silvia L. Chaparro-Cárdenas","Julian Andres Ramirez-Bautista","Juan Terven","Diana‐Margarita Córdova‐Esparza","Julio-Alejandro Romero-González","Alfonso Ramírez-Pedraza","Edgar Arturo Chávez‐Urbiola"],"tags":["Workflow","Health care","Computer science","Data science","Digital health"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.3390/healthcare13141763","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W3158548339","name":"Technology assessment for digitalization in battery cell manufacturing","source":"openalex","abstract":"The battery cell manufacturing is increasingly being digitalized to improve product quality and achieve a more transparent and efficient manufacturing process. In this paper, we apply the technology management method called “technology assessment\" to the processes of electrical filling and formation of pouch cells to identify and evaluate possible digitalization measures. As a result, the digitalization measures in the process technology, logistics, quality control and energy system of the two processes are discussed and evaluated according to their potential and technology readiness level. The combination of digital twins of the battery cell with the digital factory operation is assessed as the most promising measure.","url":"https://doi.org/10.1016/j.procir.2021.03.110","authors":["Johannes Wanner","Johannes Bähr","Johannes Full","Max Weeber","Kai Peter Birke","Alexander Sauer"],"tags":["Manufacturing engineering","Battery (electricity)","Digital manufacturing","Process (computing)","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.03.110","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4409351933","name":"A survey on security enhancing Digital Twins: Models, applications and tools","source":"openalex","abstract":"A Digital Twin (DT) is a virtual representation of both cyber and physical objects. Initially, the concept was introduced to optimize manufacturing products, aimed at validating and verifying their behavior along their lifecycle. However, in the recent years and with the advent of Industry 4.0, it has also gained huge attention in the cybersecurity arena. Indeed, using a DT is seen as an strategy to automate, monitor, simulate, and diagnose cyber–physical systems behavior, aimed at making them to be secure. The DT can provide security in multiple domains such as manufacturing, aerospace, automotive, construction, smart grid, smart cities, and smart transportation. The fundamentals of a DT is a combination of data and a model of the system. To this end, this survey aims to explore current efforts on DT modeling techniques, and how these DT models capture the behavior of the system to enhance cybersecurity. The study focuses on the construction of behavioral models, techniques, tools, and technologies of DT used for specific security applications. The purpose of the discussion carried out in this survey is to illustrate the reader on how these behavioral models adapt to different security applications. In addition, the paper also analyzes and classifies current DT literature based on use cases, type of DT study, tools, and various DT operation modes with their specific security application. The findings of this survey describe security applications being enhanced by DT, and how the combination of key technologies facilitating Industry 4.0 (i.e., AI, IoT, Big Data and Cloud Computing, among others), are accelerating the adoption of DT as a solution for next generation security applications. Finally, this survey highlights relevant research gaps that need to be addressed before the wide adoption of DT in cybersecurity. • Provides a review of the DT modeling techniques applied to cyber security. • An in-depth analysis of recent work related to DT in enhancing security applications. • Discussion is provided on security applications, tools and architecture through DT literature analysis. • Future directions for security enhancing DT are also described.","url":"https://doi.org/10.1016/j.comcom.2025.108158","authors":["A Qureshi","A. Asensio","Muhammad Imran","Jordi García","Xavi Masip‐Bruin"],"tags":["Computer science","Computer security","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-11","doi":"https://doi.org/10.1016/j.comcom.2025.108158","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4406642000","name":"Using the Integral Digital Twin for Product Carbon Footprint calculation","source":"openalex","abstract":"Sustainable product development and manufacturing rely heavily on digital technology, as evaluating sustainability metrics requires the systematic gathering and organization of information throughout the product life cycle (PLC). A suitable technology to utilize the potential for sustainability improvement of products is the Digital Twin (DT). This paper introduces the concept of the Integral Digital Twin (IDT) in the context of ecological sustainability as a central data space and application hub for data-driven sustainability. It integrates horizontal communication with clients and suppliers and vertical communication within a company's information systems . The IDT incorporates data generated at various product life phases, providing interfaces for integrating external and the creation of internal eco-databases, along with sustainability metrics calculation tools. Central to this framework is the data model, facilitating the management and distribution of sustainability-relevant data within the IDT. The proposed concept adds value by integrating sustainability assessment in the form of the Product Carbon Footprint (PCF) into DT technology, establishing a dedicated data space within the IDT for this purpose. The novelty of the approach lies in the linking of different DT and software systems across several PLC phases, enabling holistic sustainability management for different perspectives such as product or factory level perspectives. The data model of the IDT provides a basis for an interoperable and seamless data exchange of sustainability relevant data such as the PCF across all stakeholders in the PLC.","url":"https://doi.org/10.1016/j.cesys.2025.100258","authors":["Sven Winter","Niklas Quernheim","Lars Arnemann","Phillip Bausch","Nicholas Frick","Joachim Metternich","Benjamin Schleich"],"tags":["Carbon footprint","Footprint","Product (mathematics)","Environmental science","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-22","doi":"https://doi.org/10.1016/j.cesys.2025.100258","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4385641952","name":"An Introduction and Characterisation of Non-identical Digital Twins in Manufacturing Systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-34821-1_81","authors":["Shuo Su","Ben Hicks","Aydin Nassehi"],"tags":["Affordance","Context (archaeology)","Heterologous","Task (project management)","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-34821-1_81","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4406612470","name":"Towards Standardizing the Integration of Digital Twins in Manufacturing Systems","source":"openalex","abstract":"Industrial sectors are increasingly prioritizing the integration of Digital Twin (DT) technology into their operations to enhance manufacturing system decision-making. However, implementing DTs remains highly challenging due to its novelty, highlighting the pressing need for the development of more formal methodologies to guide its effective implementation. Therefore, the aim of this paper is to present ongoing research concerning DT design and implementation in accordance with the ISO 23247 standard. The objective of this DT is to embed real-time Autonomous Mobile Robot dispatching decision in a small-scale production system. The present work outlines the essential steps for transitioning from a traditional Discrete Event Simulation model to a Real-Time Simulation, ensuring connectivity and synchronization with the physical system to achieve efficient implementation. It also exhibits the benefit of using rigorous formalism clarifying the complex sequencing involved in capturing and transmitting real-time sensor data between physical and cyber system.","url":"https://doi.org/10.1109/wsc63780.2024.10838930","authors":["Hédir Oukassi","Amel Jaoua","Soumaya Yacout","Elisa Negri","Mehdi Jaoua"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838930","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4394657070","name":"Digital Twins","source":"openalex","abstract":"Digital Twins are one of the hottest digital trends. In this contribution we will shortly review the concept of Digital Twins and the chances for novel industrial applications. Mathematics are a key enabler and the impact will be highlighted along four specific examples addressing Digital Product Twins democratizing Design, Digital Production Twins enabling robots to mill, Digital Production Twins driving industrialization of additive manufacturing, and Digital Performance Twins boosting operations. We conclude the article with an outlook on the next wave of Digital Twins, Executable Digital Twins, and will review the associated challenges and opportunities for mathematics.","url":"https://doi.org/10.48550/arxiv.2001.09747","authors":["Dirk Hartmann","Herman Van der Auweraer"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-03","doi":"https://doi.org/10.48550/arxiv.2001.09747","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4406231998","name":"Sustainable Additive Manufacturing: An Overview on Life Cycle Impacts and Cost Efficiency of Laser Powder Bed Fusion","source":"openalex","abstract":"This overview study investigates integrating advanced manufacturing technologies, specifically metal additive manufacturing (AM) and laser powder bed fusion (LPBF) processes, within Industry 4.0 and Industry 5.0 frameworks, to enhance sustainability and efficiency in industrial production and prototyping. The manufacturing sector, a significant contributor to global greenhouse gas emissions and resource consumption, is increasingly adopting technologies that reduce environmental impact while maintaining economic growth. Selective laser melting (SLM), as the subsection LPBF technologies, is highlighted for its capability to produce high-performance, lightweight, and complex components with minimal material waste, thus aligning with circular economy goals for metal alloys. Life cycle assessment (LCA) and life cycle costing (LCC) analyses are essential methods for evaluating the sustainability of any new technology. Sustainable technologies could support the concepts of the factory of the future (FoF), fulfilling the requirements of digital transformation and digital twins. This overview study reveals that implementing AM—specifically SLM—has the potential to reduce the environmental impact of manufacturing. It underscores the ability of these technologies to promote sustainable and efficient manufacturing practices, thereby accelerating the shift from Industry 4.0 to Industry 5.0.","url":"https://doi.org/10.3390/jmmp9010018","authors":["Ramin Rahmani","Bashir Bashiri","Sérgio Ivan Lopes","Abrar Hussain","H.S. Maurya","Raivo Vilu"],"tags":["Fusion","Business","Environmental science","Process engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.3390/jmmp9010018","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4410334892","name":"Digital twin modelling for 3D-printed composite structures manufactured by fused filament fabrication method: mesoscale geometry simulation","source":"openalex","abstract":"Fused Filament Fabrication (FFF) is a widely used additive manufacturing method for composite structures across various industries, including aerospace, energy, healthcare, and automotive. As the demand for advanced materials grows, Digital Twin (DT) modelling has emerged as a critical tool for bridging the gap between the real and virtual worlds of material design and testing. This study aims to develop a DT model for 3D-printed composite structures manufactured using the FFF method, leveraging Finite Element Analysis (FEA). The DT model is constructed using FEA, which simulates the mechanical behaviour of the composite structures. To ensure accuracy, the FEA results are validated by the Digital Volume Correlation method (DVC), a non-destructive, in-situ technique that measures the full strain field within the object. This enables real-time synchronization between the DT model and the physical state of the 3D-printed structures. The development of the DT model focuses on two key aspects: geometry definitions, and behavioral performance. The 3D geometry of the printed composite structures is captured using micro-computed Tomography (μCT). At the same time, initial mechanical properties are derived from in-situ experimental tensile testing conducted within the μCT system. The strain field measured by DVC is compared to the strain field predicted by the FEA model, and both the geometry and material properties are iteratively refined to minimize the error between the two. This methodology is applied to various printing parameters, such as raster orientation, to develop a robust dataset for training AI models to predict the mechanical behaviour of 3D-printed geometries. This study explains the definition of geometry for developing a DT model. In future work, the outcome will be compared with DVC analysis to create a highly accurate DT geometry model that improves the understanding and prediction of 3D-printed composite structures or any composite materials, providing valuable insights for optimization and design in industrial applications.","url":"https://doi.org/10.1117/12.3050858","authors":["Ayshan Soltansaleki","Garrett W. Melenka"],"tags":["Fabrication","Fused filament fabrication","Mesoscale meteorology","Protein filament","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-13","doi":"https://doi.org/10.1117/12.3050858","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4406239429","name":"Digital twin enabled smart microgrid system for complete automation: An overview","source":"openalex","abstract":"• This paper provides a structured framework for constructing Digital Twin-enabled Smart Microgrids, emphasizing automation to enhance device intelligence. • It identifies critical automation standards and proposes adaptable modifications to support evolving DT applications within smart grids. • Through a comparative analysis, the paper highlights key challenges in situational awareness, security, and resilience, offering potential DT-based solutions. • The study introduces new use cases for Digital Twin technology in optimizing energy management and grid reliability in microgrid environments. • By envisioning future applications, this paper outlines the role of DT in advancing sustainable, resilient, and efficient energy systems. Recent advancements in communication technology (CT) have ignited significant interest in the cutting-edge concept of the digital twin (DT), which holds the potential to revolutionize smart microgrid systems (SMGs). This study delves into the concepts and essential steps involved in constructing a DT-enabled smart microgrid (DT-SMG), emphasizing the necessity for complete automation to enhance device intelligence. Additionally, the paper discusses implementation standards for automation and the need for further modifications to accommodate future applications. The objective is to explore important DT-SMG use cases, and discuss the associated problems and potential solutions within DT-based automation frameworks. Recognizing the criticality of situational awareness, security, and resilience in DT-SMGs, the paper conducts a comparative study, highlighting the pros and cons gleaned from existing literature. These findings offer readers a comprehensive perspective, empowering them to develop and deploy DT technology across a spectrum of power system applications. Finally, the paper looks ahead to the future horizon of DT-SMGs.","url":"https://doi.org/10.1016/j.rineng.2025.104010","authors":["Buddhadeva Sahoo","Subhasis Panda","Pravat Kumar Rout","Mohit Bajaj","Vojtech Blazek"],"tags":["Microgrid","Automation","Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-10","doi":"https://doi.org/10.1016/j.rineng.2025.104010","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3136739333","name":"Methodology to develop Digital Twins for energy efficient customizable IoT-Products","source":"openalex","abstract":"Products are increasingly individualized and enhanced to be able to communicate, e.g. via Industrial Internet of Things (IoT). However, the impact of products on sustainability (environmental and social) across their life is often not considered and analyzed. IoT-based or smart products, that are able to communicate, generate data, which can be used to monitor and optimize sustainability indicators. The Digital Twin (DT) is a new technological concept which focuses on product individual data collection and analysis. It provides the possibility to make use of the available data and optimize the systems individual sustainability as well as future product generations. However, the design and realization of such a DT requires new approaches and capabilities, which is an identified research gap. Therefore, this paper presents a methodology to develop DTs of physical IoT-based products, the so called DT V-Model with the aim to optimize the systems sustainability, specifically environmental aspects. It is based on the V-model for the development of smart products and is enhanced with additional roles and approaches for DT development. The methodology is described in detail. The result of a development cycle according to the DT-V-Model is a tested concept of a DT, which includes Digital Master (DM) data from the planning phase and Digital Shadow (DS) data from the production, operation and End of Life-phase. For a DT for energy efficiency, the Digital Master model consists of the information and models from the product development phase including the planned production and use phase energy consumption. The Digital Shadow consists of the actual production energy consumption and the use phase energy consumption. The methodology is applied to a use case of an IoT-based consumer product that can be customized to a certain degree by the consumer. A DT is developed to monitor and optimize the products energy efficiency in production and use. The necessary elements of the DT and the capabilities are depicted. The paper shows the feasibility of the methodology for the development of DTs, the necessary adaptions to common approaches for development and the specific characteristics of DT development for the aim of energy efficiency.","url":"https://doi.org/10.1016/j.procir.2021.01.040","authors":["Theresa Riedelsheimer","Sonika Gogineni","Rainer Stark"],"tags":["Sustainability","Product (mathematics)","Computer science","Production (economics)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.01.040","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4395114352","name":"A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology","source":"openalex","abstract":"Background: This paper examines scientific papers in the field of digital twins to explore the different areas of application in supply chains. Methods: Using a machine learning-based topic modeling approach, this study aims to provide insights into the key areas of supply chain management that benefit from digital twin capabilities. Results: The research findings highlight key priorities in the areas of infrastructure, construction, business, technology, manufacturing, blockchain, and agriculture, providing a comprehensive perspective. Conclusions: Our research findings confirm several recommendations. First, the machine learning-based model identifies new areas that are not addressed in the human review results. Second, while the human review results put more emphasis on practicality, such as management activities, processes, and methods, the machine learning results pay more attention to macro perspectives, such as infrastructure, technology, and business. Third, the machine learning-based model is able to extract more granular information; for example, it identifies core technologies beyond digital twins, including AI/reinforcement learning, picking robots, cybersecurity, 5G networks, the physical internet, additive manufacturing, and cloud manufacturing.","url":"https://doi.org/10.3390/su16093552","authors":["Enna Hirata","Daisuke Watanabe","Athanasios Chalmoukis","Maria Lambrou"],"tags":["Supply chain","Supply chain management","Business","Process management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-24","doi":"https://doi.org/10.3390/su16093552","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4379802826","name":"Developing key performance indicators for monitoring sustainability in the ceramic industry: The role of digitalization and industry 4.0 technologies","source":"openalex","abstract":"This research explores the importance of sustainability in the ceramic industry, focusing on how companies measure and monitor their sustainability indicators. Economic crises and climate change have led scholars over the years to focus their attention on reducing impacts and monitoring sustainability indicators with particular attention to the energy sphere. In the scientific literature it emerges that there is no set of indicators for the ceramic industries suitable for monitoring company data. To address this emerging gap, the paper takes a ceramic company as a reference and proposes a set of key performance indicators (KPIs) to help manufacturing companies monitor their economic, environmental, and social sustainability performance. The study aims to fill these gaps by underlining the importance of investing in the digitization of processes and in Industry 4.0 digital technologies to obtain constantly updated and real-time information for sustainability monitoring. The research also emphasizes the applicability of these findings to other manufacturing enterprises, offering a methodology for self-monitoring sustainability. The article suggests the development of a \"Sustainability Digital Twin\" as a tool to help business managers make informed decisions and design products with all aspects of sustainability in mind. The integration of sustainability and digitization is highlighted as a crucial aspect for achieving sustainable ceramic production. The proposed KPIs and the digitization of processes can provide data to implement strategic plans for sustainable production. Therefore, this study has contributed to fill the gaps in the literature by demonstrating that the digitization of production processes allows for a more specific assessment of economic, social and environmental impacts by ensuring transparent communication of performance to stakeholders.","url":"https://doi.org/10.1016/j.jclepro.2023.137664","authors":["Giuditta Contini","Margherita Peruzzini","Stefano Bulgarelli","Gildo Bosi"],"tags":["Sustainability","Digitization","Performance indicator","Process management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-08","doi":"https://doi.org/10.1016/j.jclepro.2023.137664","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4298616780","name":"Construction Project Management with Digital Twin Information System","source":"openalex","abstract":"The current stage in the development of the construction industry is its digitalization, which requires the transformation of processes and models based on the use of digital platforms and twins. Datasets in a construction project accumulates quickly and becomes difficult to store and process due to the large file sizes of CAD,GIS and BIM technologies. Managing such datasets is a complex problem, since the usefulness of such data lies in ensuring that it is available and used as needed by all participants in a construction project. The article proposes to develop an information system for creating digital twins of construction project management as an integrator of digital tools based on Big Data Analytics and BIM technology, which is already the standard for the digitalization of the construction industry. The study describes four types of digital twins and ten properties of Big Data required for construction project. Conceptual model of Big Data domains for construction project and BIM-model of Big Data exchange and information transfer for construction project digital twin are considered. The authors propose a framework for creating digital twins of construction project management that uses three main components: BIM-models, Big Data Analytics and Knowledge Base. The results of the study are structure of information system of creating digital twin of territory urban planning project for Design Company and example using a BIMoriented software product. Keywords—BIM-model, Big Data, digital twin, construction projectmanagement, digital construction","url":"https://doi.org/10.46338/ijetae1022_03","authors":["Galyna Ryzhakova","Oksana Malykhina","Vadym Pokolenko","Оксана Рубцова","Oleksandr Homenko","Iryna Nesterenko","Tetyana Honcharenko"],"tags":["Big data","Building information modeling","Computer science","Project management","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-01","doi":"https://doi.org/10.46338/ijetae1022_03","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4391658021","name":"Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-024-02340-3","authors":["Seon Han Choi","Byeong Soo Kim"],"tags":["Page layout","Factory (object-oriented programming)","Computer science","Standard cell","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-08","doi":"https://doi.org/10.1007/s10845-024-02340-3","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4407364904","name":"Building Realistic Environment from Computer Vision Approach Applied to Manufacturing Simulation in the Digital Twin Context","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-80760-2_14","authors":["Marcelo Rudek","Ana P. R. Valle","Ricardo Bertolin"],"tags":["Computer science","Context (archaeology)","Computer graphics (images)","Human–computer interaction","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-80760-2_14","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4310861265","name":"Cost-efficient digital twins for design space exploration: A modular platform approach","source":"openalex","abstract":"The industrial need to predict the behaviour of radically new products brings renewed interest in how to set up and make use of physical prototypes and testing. However, conducting physical testing of a large number of radical concepts is still a costly approach. This paper proposes an approach to actively use digital twins in the early phases where the design can be largely changed. The approach is based on creating a set of digital twin modules that can be reused and recomposed to create digital twin variants. However, this paper considers that developing a digital twin can be very costly. Therefore, the approach focuses on supporting the decisions about the optimal mix of modules, and about whether a new digital twin module should be developed. The approach is applied to an industrial case derived from the collaboration with two space manufacturers. The results highlight how the design of the modular platform has an impact on the cost of the digital twin, if commonality and reusability aspects are considered. These results point at the cost-efficiency of applying a modular approach to digital twin creation, as a means to reuse the results from physical testing to validate new designs and their ranges of validity","url":"https://doi.org/10.1016/j.compind.2022.103813","authors":["Massimo Panarotto","Ola Isaksson","Vanessa Vial"],"tags":["Modular design","Reuse","Reusability","Set (abstract data type)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-06","doi":"https://doi.org/10.1016/j.compind.2022.103813","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3181985388","name":"Additive manufacturing of polymer nanocomposites: Needs and challenges in materials, processes, and applications","source":"openalex","abstract":"Polymer nanocomposites have attracted increasing interest in research and development with several current and potential industrial applications due to their wide margin of superiority over conventional materials. Polymer composites provide a higher strength-to-weight ratio, easily customizable product properties, flexible manufacturing processes, high resistance to corrosion or erosion, and lower cost. The recent progress in additive manufacturing (AM) methods has paved the way for even a broader range of flexibilities in design and materials in several industrial sectors, including aerospace, biomedical, construction, electronics, telecommunication, mechanical, and defense. However, some hindrances remain in the synthesis of polymer composites and their fabrication through AM technologies. A comparative review of AM processes for polymer composites and their applications is presented in this study. This study aims to provide engineers and scientists with an updated understanding of the underlying issues, barriers, limitations, and opportunities. It will also help the reader to systematically reveal the research problems and future directions related to materials synthesis and AM processes.","url":"https://doi.org/10.1016/j.jmrt.2021.07.016","authors":["Ans Al Rashid","Shoukat Alim Khan","Sami G. Al‐Ghamdi","Muammer Koç‬"],"tags":["Aerospace","Electronics","Materials science","Nanocomposite","New product development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-09","doi":"https://doi.org/10.1016/j.jmrt.2021.07.016","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4297666425","name":"A Digital Twin Platform for Industrie 4.0","source":"openalex","abstract":"Abstract In an Industrie 4.0 (I4.0), rigid structures and architectures applied in manufacturing and industrial information technologies today will be replaced by highly dynamic and self-organizing networks. Today’s proprietary technical systems lead to strictly defined engineering processes and value chains. Interacting Digital Twins (DTs) are considered an enabling technology that could help increase flexibility based on semantically enriched information. Nevertheless, for interacting DTs to become a reality, their implementation should be based on open standards for information modeling and application programming interfaces like the Asset Administration Shell (AAS). Additionally, DT platforms could accelerate development and deployment of DTs and ensure their resilient operation. This chapter develops a suitable architecture for such a DT platform for I4.0 based on user stories, requirements, and a time series messaging experiment. An architecture based on microservices patterns is identified as the best fit. As an additional result, time series data should not be integrated synchronously and directly into AASs, but rather asynchronously, either via streams or time series databases. The developed DT platform for I4.0 is composed of specialized, independent, loosely coupled microservices interacting use case specifically either syn- or asynchronously. It can be structured into four layers: continuous deployment, shop-floor, data infrastructure, and business services layer. An evaluation is carried out based on the DT controlled manufacturing scenario: AAS-based DTs of products and manufacturing resources organize manufacturing by forming highly dynamic and self-organizing networks. Future work should focus on a final, complete AAS integration into the data infrastructure layer, just like it is already implemented on the shop-floor and business services layers. Since with the standardized AAS only one interface type would then be left in the DT platform for I4.0, DT interaction, adaptability, and autonomy could be improved even further. In order to become part of an I4.0 data space, the DT platform for I4.0 should support global discovery, data sovereignty, compliance, identity, and trust. For this purpose, Gaia-X Federation Services should be implemented, e.g., as cross-company connectors.","url":"https://doi.org/10.1007/978-3-030-98636-0_9","authors":["Magnus Redeker","Jan Nicolas Weskamp","Bastian Rössl","Florian Pethig"],"tags":["Microservices","Computer science","Software deployment","Flexibility (engineering)","Asset (computer security)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-98636-0_9","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4389306616","name":"Skin Imaging: A Digital Twin for Geometric Deviations on Manufactured Surfaces","source":"openalex","abstract":"Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection–correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and manufacturing processes, the production line achieves a new level of accuracy and savings on costs. This is far more crucial than only inspecting the finished product as an accepted or rejected part. Modeling the actual surface of the workpiece in production, including the manufacturing errors, enables the potential to process the provided live data and give feedback to production planning. Recently introduced “skin imaging” methodology can generate 2D images as a comprehensive digital twin for geometric deviations on any scanned 3D surface including analytical geometries and sculptured surfaces. Skin-Image has been addressed as a novel methodology for continuous representation of unorganized discrete 3D points, by which the geometric deviation on the surface is shown using image intensity. Skin-Image can be readily used in online surface inspection for automatic and precise 3D defect segmentation and characterization. It also facilitates search-guided sampling strategies. This paper presents the implementation of skin imaging for primary engineering surfaces. The results, supported by several industrial case studies, show high efficiency of skin imaging in providing models of the real manufactured surfaces.","url":"https://doi.org/10.3390/app132312971","authors":["Elnaz Ghanbary Kalajahi","Mehran Mahboubkhah","Ahmad Barari"],"tags":["Computer science","Production line","Computer vision","Segmentation","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-04","doi":"https://doi.org/10.3390/app132312971","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4405090232","name":"Digital Twin Inference from Multi-physical Simulation Data of DED Additive Manufacturing Processes with Neural ODEs","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-032-16253-3_8","authors":["Maximilian Kannapinn","Fabian Roth","Oliver Weeger"],"tags":["Ode","Inference","Computer science","Artificial neural network","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-16253-3_8","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4407320467","name":"Data enabling technology in digital twin and its frameworks in different industrial applications","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jii.2025.100793","authors":["R. Mohanraj","Banda Krishna Vaishnavi"],"tags":["Engineering","Systems engineering","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-10","doi":"https://doi.org/10.1016/j.jii.2025.100793","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3173432179","name":"Real-time locating system and digital twin in Lean 4.0","source":"openalex","abstract":"Digital twin plays a key role in the current development of smart manufacturing systems. Through simulation in the cyber world, real phenomena in the physical world can be predicted and optimized before the final implementation. The usage of the digital twin is enhanced along with the uprising of Industry 4.0, in which data availability supports the further insight of system status, helping the operation managers understand their system and perform resources adjustment more easily. Based on this digitization mature, Lean 4.0, a new concept elaborated from Lean manufacturing, has been interested recently. There are several technologies constituted digital twin that provide a favourable condition for Lean 4.0, such as augmented reality, cloud computing. In this paper, the integration of the Real-time Locating System (RTLS) into digital twin is proposed, which facilitates the performance of Lean 4.0 in manufacturing operation. Not only gain effective control over the facility's assets, but this integration also enhances the resources utilization, cut down operational wastes, thus brings a better turnover for industrial systems. A case study of successful implementation is shown, which proved the possible advantages of this approach.","url":"https://doi.org/10.1109/saci51354.2021.9465544","authors":["Tuan-anh Tran","Tamás Ruppert","György Eigner","János Abonyi"],"tags":["Digitization","Lean manufacturing","Real-time locating system","Computer science","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-19","doi":"https://doi.org/10.1109/saci51354.2021.9465544","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4380049264","name":"Digital Twin-Driven Tool Condition Monitoring for the Milling Process","source":"openalex","abstract":"Exact observing and forecasting tool conditions fundamentally affect cutting execution, bringing further developed workpiece machining accuracy and lower machining costs. Because of the unpredictability and time-differing nature of the cutting system, existing methodologies cannot achieve ideal oversight progressively. A technique dependent on Digital Twins (DT) is proposed to accomplish extraordinary accuracy in checking and anticipating tool conditions. This technique builds up a balanced virtual instrument framework that matches entirely with the physical system. Collecting data from the physical system (Milling Machine) is initialized, and sensory data collection is carried out. The National Instruments data acquisition system captures vibration data through a uni-axial accelerometer, and a USB-based microphone sensor acquires the sound signals. The data are trained with different Machine Learning (ML) classification-based algorithms. The prediction accuracy is calculated with the help of a confusion matrix with the highest accuracy of 91% through a Probabilistic Neural Network (PNN). This result has been mapped by extracting the statistical features of the vibrational data. Testing has been performed with the trained model to validate the model's accuracy. Later, the modeling of the DT is initiated using MATLAB-Simulink. This model has been created under the data-driven approach. The physical-virtual balance of the DT model is acknowledged utilizing the advances, taking into consideration the detailed planning of the constant state of the tool's condition. The tool condition monitoring system through the DT model is deployed through the machine learning technique. The DT model can predict the different tool conditions based on sensory data.","url":"https://doi.org/10.3390/s23125431","authors":["Sriraamshanjiev Natarajan","T. Mohanraj","Sakthivel Gnanasekaran","Jegadeeshwaran Rakkiyannan"],"tags":["Machining","Confusion matrix","Microphone","Computer science","USB"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-08","doi":"https://doi.org/10.3390/s23125431","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4410942022","name":"Integrating digital twin models into continuous carbon fiber-reinforced nylon additive manufacturing for process parameters verification and anomaly detection","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-025-02626-0","authors":["Xiao Wei","Yujun Wang","Jian Mao","Man Zhao","Gang Liu"],"tags":["Anomaly (physics)","Process (computing)","Anomaly detection","Process engineering","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-02","doi":"https://doi.org/10.1007/s10845-025-02626-0","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3132543894","name":"Adopting Shop Floor Digitalization in Indian Manufacturing SMEs—A Transformational Study","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-33-4320-7_53","authors":["Gautam Dutta","Ravinder Kumar","Rahul Sindhwani","Rajesh Kumar Singh"],"tags":["Profitability index","Discrete event simulation","Digital manufacturing","Industrial engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1007/978-981-33-4320-7_53","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3214816883","name":"Mastering the digital transformation through organizational capabilities: A conceptual framework","source":"openalex","abstract":"As digital transformation is changing entire industries, organizations are struggling to keep up with these changes. Scholars are viewing organizational capabilities as a central mean for organizations to master digital transformation. Based on a comprehensive literature review, this study identifies a broad set of relevant organizational capabilities and introduces a conceptual framework in which organizational capabilities are clustered into seven relevant themes for managing digital transformation. These capabilities are then embedded in the logic of the dynamic capability theory, highlighting the development of organizational capabilities throughout the digital transformation process. The results reveal that a differentiated perspective on the digital transformation process is beneficial to account for changing needs of organizational capabilities during the transformation process. Just as organizations themselves change during the process, various capabilities at different time points are needed to support and enable organizations during digital transformation. The developed conceptual framework gives organizations guidance for the development of organizational capabilities throughout the digital transformation process.","url":"https://doi.org/10.1016/j.digbus.2021.100019","authors":["Jens Konopik","Christoph Jahn","Tassilo Schuster","Nadja Hoßbach","Alexander Pflaum"],"tags":["Digital transformation","Process (computing)","Knowledge management","Conceptual framework","Transformation (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-19","doi":"https://doi.org/10.1016/j.digbus.2021.100019","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4210417695","name":"A Geospatial Platform to Manage Large-Scale Individual Mobility for an Urban Digital Twin Platform","source":"openalex","abstract":"Urban digital twin (UDT) technology can be used to digitize physical urban spaces. Previous UDT or smart city research reconstructed the three-dimensional topography of urban spaces, buildings, and facilities. They collected various multimodal sensor data from cities and monitored conditions such as temperature, humidity, fine dust, and real-time road traffic. However, these studies lacked ways to manage individual mobility data, such as those of the vehicles and pedestrians, which constitute major components of a city. Here, we propose a geospatial platform based on the universal game engine Unity3D, which manages large-scale individual mobility data for a UDT platform. The proposed platform stores and manages individual vehicles or pedestrians using information from public closed-circuit television. It also allows the generation of long-term route information for a unique vehicle based on its license plate. We also propose methods to anonymize license plates, to ensure the security of individuals, and to compress individual mobility data. Unique UDT models with individual mobility functionalities can be built and visualized using our proposed geospatial platform.","url":"https://doi.org/10.3390/rs14030723","authors":["Ahyun Lee","Kang‐Woo Lee","Kyong-Ho Kim","Sung-Woong Shin"],"tags":["Geospatial analysis","Computer science","License","Smart city","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-03","doi":"https://doi.org/10.3390/rs14030723","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4280564410","name":"Future City, Digital Twinning and the Urban Realm: A Systematic Literature Review","source":"openalex","abstract":"Digitalisation and the future city paradigm are becoming a trend in recent research and practices. Literature discusses digitalisation and its applications as the main gear in the transformation to the ideal future city vision. Yet, the concept of digitalisation is articulated in many interpretations and presented in different applications in the built environment. One emerging application is digital twinning. Literature envisions the potential of digital twinning applications in the urban realm and discusses the cognitive city model and its implications on the future of our cities, its urban realm and the built environment in general. With the evolving themes on the ideal future city model, this systematic review tackles the following questions: what are the key motives and drivers of the future city paradigm; what is a city digital twin; and what are their expected applications. Additionally, how literature envisions the definition of the city users and their experience in the urban realm of the city of the future. This review article explores related literature on the themes of future city model, digital urban realm, digital twinning and city users. The main findings are: identifying key gears of the future city model in literature, exploring city digital twin conceptualization and applications and discussing concepts on the definition of city user and user experience in the city of the future.","url":"https://doi.org/10.3390/buildings12050685","authors":["Zaid O. Saeed","Francesco Mancini","Tanja Glusac","Parisa Izadpanahi"],"tags":["Realm","Conceptualization","Ideal (ethics)","Sociology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-20","doi":"https://doi.org/10.3390/buildings12050685","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4367173936","name":"Home monitoring in asthma: towards digital twins","source":"openalex","abstract":"PURPOSE OF REVIEW: We highlight the recent advances in home monitoring of patients with asthma, and show that these advances converge towards the implementation of digital twin systems. RECENT FINDINGS: Connected devices for asthma are increasingly numerous, reliable and effective: new electronic monitoring devices extend to nebulizers and spacers, are able to assess the quality of the inhalation technique, and to identify asthma attack triggers when they include a geolocation function; environmental data can be acquired from databases and refined by wearable air quality sensors; smartwatches are better validated. Connected devices are increasingly integrated into global monitoring systems. At the same time, machine learning techniques open up the possibility of using the large amount of data collected to obtain a holistic assessment of asthma patients, and social robots and virtual assistants can help patients in the daily management of their asthma. SUMMARY: Advances in the internet of things, machine learning techniques and digital patient support tools for asthma are paving the way for a new era of research on digital twins in asthma.","url":"https://doi.org/10.1097/mcp.0000000000000963","authors":["David Drummond","Jolt Roukema","Mariëlle W. Pijnenburg"],"tags":["Medicine","Asthma","MEDLINE","Intensive care medicine","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-27","doi":"https://doi.org/10.1097/mcp.0000000000000963","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W7127900063","name":"From Digital Twins to Immersive Manufacturing: XR and Gesture‐Based Control for Enhancing Human–Robot Collaboration","source":"openalex","abstract":"ABSTRACT Digital twins (DTs) and immersive extended reality (XR) interfaces offer new opportunities for intuitive, human‐centred interaction in smart manufacturing. However, implementations often lack rigorous validation, quantitative performance analysis and assessment of scalability and robustness, especially in small‐scale or resource‐constrained manufacturing settings. This work proposes a modular metaverse framework integrating ROS2, Unity and Meta Quest devices to develop interactive, bidirectional DTs enhanced with gesture‐based and mixed reality (MR) control. The framework is demonstrated through a lab‐scale case study combining a robotic Wire Arc Additive Manufacturing (WAAM) system and a collaborative robot‐based laser‐cleaning station, showing broad applicability across industrial robotics. To evaluate usability, a preliminary user study with 17 participants was conducted, comparing a standard teach pendant with the proposed XR interface for a tool‐inspection task. Results show an 80% reduction in programming time and significant decreases in perceived workload. Measured end‐to‐end gesture‐to‐action latency ranged from 430 to 450 ms, representing suitable timeframe for high‐level interaction and task initiation. The study provides empirical user‐centred evidence for metaverse‐enabled interaction and discusses scalability, latency and industrial constraints. Aligned with the human‐centric intelligence principles of Industry 5.0, the proposed approach improves accessibility, operator well‐being and adaptability, contributing towards more inclusive and robust smart manufacturing systems.","url":"https://doi.org/10.1049/cim2.70055","authors":["Eleni Manoli","Giulio Mattera","Alessandra Caggiano","Adelaide Marzano","Luigi Nele"],"tags":["Modular design","Computer science","Human–computer interaction","Scalability","Implementation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/cim2.70055","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4280598054","name":"AI Based Digital Twin Model for Cattle Caring","source":"openalex","abstract":"In this paper, we develop innovative digital twins of cattle status that are powered by artificial intelligence (AI). The work is built on a farm IoT system that remotely monitors and tracks the state of cattle. A digital twin model of cattle based on Deep Learning (DL) is generated using the sensor data acquired from the farm IoT system. The physiological cycle of cattle can be monitored in real time, and the state of the next physiological cycle of cattle can be anticipated using this model. The basis of this work is the vast amount of data that is required to validate the legitimacy of the digital twins model. In terms of behavioural state, this digital twin model has high accuracy, and the loss error of training reach about 0.580 and the loss error of predicting the next behaviour state of cattle is about 5.197 after optimization. The digital twins model developed in this work can be used to forecast the cattle's future time budget.","url":"https://doi.org/10.3390/s22197118","authors":["Xue Han","Zihuai Lin","Cameron Clark","Branka Vucetic","Sabrina Lomax"],"tags":["Computer science","Internet of Things","Artificial intelligence","Work (physics)","State (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-20","doi":"https://doi.org/10.3390/s22197118","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4403921601","name":"Conceptional Design and Prototypical Implementation of a Digital Twin for a Modular Manufacturing System","source":"openalex","abstract":"Digital twins of manufacturing systems have become increasingly relevant for use cases such as virtual commissioning and AI related process optimizations such as predictive maintenance or condition monitoring. However, the lack of standardization with regard to implementation tools and the ambiguous use of the term prevent digital twins from widespread industrial application of digital twins. This paper presents a conceptual approach and a successful implementation guide for a digital twin of a modular manufacturing system. First, different notions of the term digital twin from the vast literature are summarized and a unifying definition is presented. Turning to the application example, the modular design of the manufacturing system considered in this paper is outlined as well as the workflow of the industrial assembly process. In the main section a detailed architectural concept for a digital twin of manufacturing systems is presented. Finally, the toolchain that implements this architecture is described emphasizing the functionalities of the components used. The results are discussed and an outlook towards a bidirectionally interdependent digital twin is given.","url":"https://doi.org/10.46254/eu07.20240223","authors":["Michael D. Reisig","J. Lenz","F. Kerber","Michael Reisig","Jürgen H. Lenz","Florian Kerber"],"tags":["Modular design","Computer science","Embedded system","Computer architecture","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-16","doi":"https://doi.org/10.46254/eu07.20240223","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W4362583385","name":"Quality Monitoring of Resistance Spot Welding Based on a Digital Twin","source":"openalex","abstract":"As an important means to realize intelligent manufacturing, a digital twin is a digital expression of physical entities, which realizes virtual–real interaction and the iterative optimization of product design and manufacturing by constructing a bridge of information mapping between the physical world and the virtual world. Resistance spot welding technology is widely used in automotive manufacturing, aerospace and other fields as a spot linking process for the manufacture of thin sheet structures. The fusion nugget growth process of resistance spot welding is particularly important for its joint quality. Resistance spot welding is a highly nonlinear coupled process, and physical models make it difficult to accurately monitor its quality. Taking 2219/5A06 aluminum plates with different thicknesses as the research object, digital twin technology is applied to monitor the welding process of aluminum plate. In order to improve the key technologies such as information interaction in the digital twin system, a data acquisition system for resistance spot welding process is established and a real-time data processing technology based on wavelet threshold analysis is proposed. Based on real-time data, the processed process parameters are tested in twin space to validate the feasibility of the solution.","url":"https://doi.org/10.3390/met13040697","authors":["Jianwei Dong","Jianming Hu","Zhen Luo"],"tags":["Spot welding","Welding","Process (computing)","Computer science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-03","doi":"https://doi.org/10.3390/met13040697","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W2941001239","name":"Attaining Learning Objectives by Ontological Reasoning using Digital Twins","source":"openalex","abstract":"Learning Factories provide a propitious learning environment for nurturing production related competencies. However, several problems continue to plague their widespread adoption. This study mentions these issues before proposing the use of digital twins as an alternative. The study presents an approach towards modelling such a digital twin and proposes a solution that uses ontologies to develop a formal representation of the domain (a flexible manufacturing system) and the learning that occurs in the environment. A reasoning mechanism is used deduce inferences from the ontology to facilitate automated assessment of the learner. A use-case for the pedagogic digital twin is presented and discussed before proposing future directions for work.","url":"https://doi.org/10.1016/j.promfg.2019.03.055","authors":["Joe David","Andrei Lobov","Minna Lanz"],"tags":["Ontology","Domain (mathematical analysis)","Computer science","Representation (politics)","Knowledge representation and reasoning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.promfg.2019.03.055","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4285291072","name":"Guidance for Materials 4.0 to interact with a digital twin","source":"openalex","abstract":"Abstract The rapid development of new infrastructure programmes requires an accelerated deployment of new materials in new environments. Materials 4.0 is crucial to achieve these goals. The application of digital to the field of materials has been at the forefront of research for many years, but there does not exist a unified means to describe a framework for this area creating pockets of development. This is confounded by the broader expectations of a digital twin (DT) as the possible answer to all these problems. The issue being that there is no accepted definition of a component DT, and what information it should contain and how it can be implemented across the product lifecycle exist. Within this position paper, a clear distinction is made between the “manufacturing DT” and the “component DT”; the former being the starting boundary conditions of the latter. In order to achieve this, we also discuss the introduction of a digital thread as a key concept in passing data through manufacturing and into service. The stages of how to define a framework around the development of DTs from a materials perspective is given, which acknowledges the difference between creating new understanding within academia and the application of this knowledge on a per-component basis in industry. A number of challenges are identified to the broad application of a component DT; all lead to uncertainty in properties and locations, resolving these requires judgments to be made in the provision of safety-dependent materials property data.","url":"https://doi.org/10.1017/dce.2022.23","authors":["Daniel Cogswell","Chaitanya Paramatmuni","Lucia Scotti","James Moffat"],"tags":["Computer science","Component (thermodynamics)","Software deployment","Data science","Perspective (graphical)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1017/dce.2022.23","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4322098276","name":"Digital Twin for Region-of-Interest Computed Tomography of Additive Manufactured Components using an Industrial Robot","source":"openalex","abstract":"Computed tomography (CT) is often used as a non-destructive testing (NDT) method to analyze the internal structure of safetycritical parts, e.g. in the automotive or aerospace industries. Additively manufactured (AM) components in particular often result in very complex structured parts due to their bionic design, which are lightweight and thus reduce the CO2 emissions of cars or aircrafts. For metallic AM components produced in a powder bed fusion process pores, inclusions or lack-of-fusion errors (LoF) may occur typically. The latter one arises if powder could not be melted properly, i.e., it is an inclusion of loose powder inside the part. Such LoF are very low in contrast compared to the surrounding solid material and therefore harder to detect the smaller they are and the thicker the penetrated material is. Monitoring systems integrated in the 3D-Printer help to detect indications of where a defect could have occurred. Exactly on each of these predefined positions the CT-System will do a region-of-interest scan (ROI scan). In this study we are using an industrial robot as manipulator of the component to overcome the limitations of traditional CT setups. Its dedicated trajectory using only the optimal projection directions of the current ROI is derived by using our newly developed Digital Twin containing the robot, the AM component and the X-Ray imaging chain. In this study we will show how the simulation is used to find optimal projection directions and a first CT scan of the robot will be demonstrated.","url":"https://doi.org/10.58286/26617","authors":["Polina Dedyaeva","Kristen Krohne","Frank Herold"],"tags":["Industrial computed tomography","Robot","Component (thermodynamics)","Projection (relational algebra)","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.58286/26617","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4309347194","name":"Multi-fidelity neural optimization machine for Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00158-022-03443-2","authors":["Jie Chen","Changyu Meng","Yi Gao","Yongming Liu"],"tags":["Computer science","Artificial neural network","Field (mathematics)","Optimization problem","Stochastic gradient descent"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-16","doi":"https://doi.org/10.1007/s00158-022-03443-2","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4391261228","name":"A framework towards digital twins for type 2 diabetes","source":"openalex","abstract":"Introduction: A digital twin is a virtual representation of a patient's disease, facilitating real-time monitoring, analysis, and simulation. This enables the prediction of disease progression, optimization of care delivery, and improvement of outcomes. Methods: Here, we introduce a digital twin framework for type 2 diabetes (T2D) that integrates machine learning with multiomic data, knowledge graphs, and mechanistic models. By analyzing a substantial multiomic and clinical dataset, we constructed predictive machine learning models to forecast disease progression. Furthermore, knowledge graphs were employed to elucidate and contextualize multiomic-disease relationships. Results and discussion: Our findings not only reaffirm known targetable disease components but also spotlight novel ones, unveiled through this integrated approach. The versatile components presented in this study can be incorporated into a digital twin system, enhancing our grasp of diseases and propelling the advancement of precision medicine.","url":"https://doi.org/10.3389/fdgth.2024.1336050","authors":["Y Zhang","Guangrong Qin","Boris Aguilar","Noa Rappaport","James T. Yurkovich","Lance Pflieger","Sui Huang","Leroy Hood","Ilya Shmulevich"],"tags":["Computer science","GRASP","Machine learning","Disease","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-25","doi":"https://doi.org/10.3389/fdgth.2024.1336050","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4392530128","name":"Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins","source":"openalex","abstract":"Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide enhanced transportation options to meet the growing demand for efficient transportation systems. However, they present unique challenges in maintaining the safety and performance of their infrastructures. Structural health monitoring (SHM) has emerged as an essential practice to forestall the potential consequences of structural defects in ARTS. Recently, digital twins and digital shadows have been successfully employed in various industries to monitor the state of physical systems. However, their application for structural health monitoring in ARTS remains largely unexplored. Hence, this article explores the potential of digital twins and digital shadows, in improving structural health monitoring in ARTS. Due to the digital twins’ ability to bi-directional communication between a real system and its virtual replica, this article presents a comprehensive literature survey on their enablers and capabilities. Meanwhile, a framework for digital twins-based monitoring in ARTS is also proposed. The key distinctions and benefits of digital twins over other Industry 4.0 digital representation concepts, such as real-time monitoring, optimization, prediction, simulation, and decision-making, are identified. The paper highlights the significant opportunities that digital twins, especially, can offer to improve health monitoring. Similarly, limitations and bottlenecks that must be tackled in future research for implementations are also acknowledged. Finally, harnessing the power of digital twins can catalyze a transformative shift in ARTS, leading to more effective monitoring, enhanced safety, and improved performance.","url":"https://doi.org/10.1016/j.aei.2024.102450","authors":["Mujib Olamide Adeagbo","Su-Mei Wang","Yi‐Qing Ni"],"tags":["Digital health","Engineering","Implementation","Structural health monitoring","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-06","doi":"https://doi.org/10.1016/j.aei.2024.102450","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3146427981","name":"Industrial Internet of Things: Digital Twins","source":"openalex","abstract":"The Industrial Internet of Things (IIoT), contributes to the industrial sector by expanding its manufacturing processes with its modern devices and intelligent systems. Today, the industrial sector is in a race to increase the insertion of technologies in its supply chain and production activities. For this, IIoT uses tools like the Internet of Things (IoT), Big Data, Could Computing, Artificial Intelligence and, recently, the Digital Twins, theme of this article. This study intends to explore and discuss the particularities of Digital Twins and their fundamental characteristics for the development of their reference architecture model, such as their internal structure, runtime environment, semantic orientation, among other aspects.","url":"https://doi.org/10.1109/imoc43827.2019.9317591","authors":["Lorrainy Rembiski Delfino","Anilton Salles Garcia","Ralf Luis de Moura"],"tags":["Computer science","Internet of Things","Industrial Internet","The Internet","Theme (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-10","doi":"https://doi.org/10.1109/imoc43827.2019.9317591","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4411990492","name":"Digital twins for dynamic life cycle assessment in the built environment","source":"openalex","abstract":"Dynamic life cycle assessment (LCA) integrated with digital twin technologies is emerging as a transformative approach to evaluating and managing environmental performance in the built environment. This study presents the Building Life-cycle Digital Twin (BLDT) framework-a novel methodology that combines real-time data from Internet of Things (IoT) devices, machine learning algorithms, and semantic interoperability to deliver dynamic, predictive, and high-resolution LCA for construction and infrastructure systems. The framework, developed within the Computational Urban Sustainability Platform (CUSP), addresses the limitations of traditional static LCA by enabling continuous, data-driven sustainability assessments. Incorporating predictive modelling, BLDT empowers stakeholders with timely insights into energy use, emissions, and health and safety performance, supporting proactive environmental decision-making. Validated through a case study at the Port of Grimsby, the BLDT framework facilitated a 25% reduction in energy consumption while enhancing operational efficiency. These results demonstrate the model's potential to support decarbonisation strategies, regulatory compliance, and long-term planning in the construction sector. By operationalising dynamic LCA through digital twins, this research contributes to the advancement of real-time sustainability analytics and resilient urban development.","url":"https://doi.org/10.1016/j.scitotenv.2025.179930","authors":["Ioan Petri","Amin Amin","Ali Ghoroghi","Andrei Hodorog","Yacine Rezgui"],"tags":["Life-cycle assessment","Computer science","Psychology","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-03","doi":"https://doi.org/10.1016/j.scitotenv.2025.179930","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3213008469","name":"A Digital Twin-based approach for multi-objective optimization of short-term production planning","source":"openalex","abstract":"Short-term multi-product production planning strongly depends on manifold considerations which can be related to backlog production, product-type prioritization, machine capacity, and set-ups. Different manufacturing systems conditions may lead to different objectives. In this context, it is rather difficult to define a-priori optimal production plans. This paper presents an effective approach for short-term production planning of multi-product systems based on the integration of a Digital Twin and a multi-objective optimization method. The proposed approach has been implemented in a real industrial case of the railway sector. Numerical results show that useful insights can be inferred from the proposed methodology.","url":"https://doi.org/10.1016/j.ifacol.2021.08.077","authors":["Maria Chiara Magnanini","Oleksandr Melnychuk","A. Yemane","Hakan Strandberg","Itziar Ricondo","Giovanni Paolo Borzi","Marcello Colledani"],"tags":["Production planning","Production (economics)","Computer science","A priori and a posteriori","Term (time)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.ifacol.2021.08.077","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3200381066","name":"Improving Production Efficiency with a Digital Twin Based on Anomaly Detection","source":"openalex","abstract":"Industry 4.0, cyber-physical systems, and digital twins are generating ever more data. This opens new opportunities for companies, as they can monitor development and production processes, improve their products, and offer additional services. However, companies are often overwhelmed by Big Data, as they cannot handle its volume, velocity, and variety. Additionally, they mostly do not follow a strategy in the collection and usage of data, which leads to unexploited business potentials. This paper presents the implementation of a Digital Twin module in an industrial case study, applying a concept for guiding companies on their way from data to value. A standardized use case template and a procedure model support the companies in (1) formulating a value proposition, (2) analyzing the current process, and (3) conceptualizing a target process. The presented use case entails an anomaly detection algorithm based on Gaussian processes to detect defective products in real-time for the extrusion process of aluminum profiles. The module was initially tested in a relevant environment; however, full implementation is still missing. Therefore, technology readiness level 6 (TRL6) was reached. Furthermore, the effect of the target process on production efficiency is evaluated, leading to significant cost reduction, energy savings, and quality improvements.","url":"https://doi.org/10.3390/su131810155","authors":["Jakob Trauer","Simon Pfingstl","Markus Finsterer","Markus Zimmermann"],"tags":["Process (computing)","Anomaly detection","Production (economics)","Computer science","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-10","doi":"https://doi.org/10.3390/su131810155","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4388858690","name":"Digital Twin and Virtual Reality for Process Verification of Resistance Spot Welds in Automotive Body in White Manufacturing","source":"openalex","abstract":"Abstract Automotive body-in-white (BIW) manufacturing facilities utilize human inspectors to manually validate the quality of resistance spot welds (RSW). The process usually involves an articulated robotic arm that holds the component being inspected at its end effector, and presents the component to the human inspector. During the inspection process, the robot re-orientates the component for each weld location to make the inspection easier for the human inspector. Due to the complexity of human-robot interaction, several trials are made before a robot system is ready for serial production. Conventionally, robot coding, process validation, human ergonomic assessment and safety validations are performed once the robot has been commissioned at the production floor. To reduce the time required for document development and ensure complete visibility of all applied resistance spot welds, a digital twin was implemented. The digital twin also combines a digital human mannequin for validation. Utilizing Process Simulate software, the weld locations were highlighted and presented to the inspector in virtual reality (VR) and added to the quality control plan documents. Once robot placement was verified, the joint coordinates were downloaded to the offline program, for implementation; resulting in decreased programming time and inspection documentation development.","url":"https://doi.org/10.1115/detc2023-116425","authors":["Elizabeth Lekarczyk","Ali Ahmad Malik"],"tags":["Spot welding","Robot","Automotive industry","Engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-20","doi":"https://doi.org/10.1115/detc2023-116425","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4366000650","name":"Process parameter and logic extraction for complex manufacturing job shops leveraging network analytics and Digital Twin modelling techniques","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.cirp.2023.03.032","authors":["Dávid Gyulai","Kiyoko Ikeuchi","Júlia Bergmann","Suraj Rao","Botond Kádár"],"tags":["Analytics","Computer science","Process (computing)","Data analysis","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.cirp.2023.03.032","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4385490465","name":"Building a Digital Twin Powered Intelligent Predictive Maintenance System for Industrial AC Machines","source":"openalex","abstract":"Predictive maintenance is a system’s competency in distinguishing future scenarios where the machine is likely to fail and schedule repairs just prior to this happening. A heuristic technology to enable efficient predictive maintenance is digital twin technology. The development of a twin system between real-time machinery and the virtual world is made possible by digital twin technology, which is ideal for predictive maintenance. Induction motors, which are the core of industrial machinery, are sparsely represented in the digital twin domain. Therefore, this study created a digital twin of a squirrel cage induction motor, utilizing data-driven modeling and multiple physics, and integrated it with a custom predictive maintenance system. The purpose of this study is to implement digital twin technology for induction motors for fault diagnosis and predictive maintenance. This framework can extrapolate running parameters to presciently detect motor remaining useful lifetime as well as erratic fault diagnosis. The experimental setup for the 2.2 kW squirrel cage induction motor has been integrated into the digital workspace via the dSPACE MicroLabBox controller to allow frequent calibration and reference signal setup. The resultant digital framework deployed on MATLAB Simulink provided high accuracy without placing a great computational load on the processor. The proposed model’s commercial application may open the way for computational intelligence in Industry 4.0 adoption of induction motors.","url":"https://doi.org/10.3390/machines11080796","authors":["R. Raja Singh","Ghanishtha Bhatti","Dattatraya Kalel","V. Indragandhi","Faisal Alsaif"],"tags":["Predictive maintenance","Induction motor","Heuristic","Fault (geology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-02","doi":"https://doi.org/10.3390/machines11080796","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4414350755","name":"A new era for digital twins: progress and industry adoption","source":"openalex","abstract":"This systematic review provides a comprehensive evaluation of the core components and diverse applications of digital twin (DT) technology, emphasising its transformative influence across key sectors. A DT is a dynamic digital replica of a physical asset or system, developed through the integration of real-time sensor data, advanced communication protocols, and computational intelligence. Essential elements include machine learning for predictive analytics, edge computing for low-latency decision-making, and high-resolution imaging and 3D visualisation for enhanced model fidelity. Blockchain technologies strengthen data security and integrity, while adaptive feedback mechanisms enable continuous learning and system optimisation. DT applications span various industries. In manufacturing, they enhance productivity through predictive maintenance and process refinement. In healthcare, DTs support personalised diagnostics, treatment optimisation, and telemedicine. Urban planning benefits from DTs in the creation of smart, sustainable infrastructure. In the energy sector, they facilitate grid stability and renewable integration. Additionally, DTs are used in immersive training simulations, autonomous vehicle validation, and resilient supply chain management. Industries such as aerospace, automotive, marine, oil and gas, and transportation increasingly adopt DTs to boost operational efficiency, minimise risks, and foster innovation. This review synthesises recent technological advances and identifies critical research directions for advancing secure, scalable, and interoperable DT ecosystems.","url":"https://doi.org/10.1080/27525783.2025.2555877","authors":["Sk Hasan","Colin William Crawford","S. K. Khairul Hasan"],"tags":["Business","Industry 4.0","Computer science","Engineering","Information technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-19","doi":"https://doi.org/10.1080/27525783.2025.2555877","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W3202562503","name":"Energy Consumption Prediction of Electric Vehicles Based on Digital Twin Technology","source":"openalex","abstract":"Digital twinning technology originated in the field of aerospace. The real-time and bidirectional feature of data interaction guarantees its advantages of high accuracy, real-time performance and scalability. In this paper the digital twin technology was introduced to electric vehicle energy consumption research. First, an energy consumption model of an electric vehicle of BAIC BJEV was established, then the model was optimized and verified through the energy consumption data of the drum test. Based on the data of the vehicle real-time monitoring platform, a digital twin model was built, and it was trained and updated by daily new data. Eventually it can be used to predict and verify the data of vehicle. In this way the prediction of energy consumption of vehicles can be achieved.","url":"https://doi.org/10.3390/wevj12040160","authors":["Zhaolong Zhang","Yuan Zou","Teng Zhou","Xudong Zhang","Zhifeng Xu"],"tags":["Energy consumption","Scalability","Electric vehicle","Automotive engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-25","doi":"https://doi.org/10.3390/wevj12040160","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4310874958","name":"Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing","source":"openalex","abstract":"Briefing: To tackle the complexity of human and social factors in manufacturing systems, parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart manufacturing for effective and efficient operations of those systems, where Cyber-Physical-Social Systems (CPSSs) and the Internet of Minds (IoM) are regarded as its infrastructures and the “Artificial systems”, “Computational experiments” and “Parallel execution” (ACP) method is its methodological foundation for parallel evolution, closed-loop feedback, and collaborative optimization. In parallel manufacturing, social demands are analyzed and extracted from social intelligence for product R&D and production planning, and digital workers and robotic workers perform the majority of the physical and mental work instead of human workers, contributing to the realization of low-cost, high-efficiency and zero-inventory manufacturing. A variety of advanced technologies such as Knowledge Automation (KA), blockchain, crowdsourcing and Decentralized Autonomous Organizations (DAOs) provide powerful support for the construction of parallel manufacturing, which holds the promise of breaking the constraints of resource and capacity, and the limitations of time and space. Finally, the effectiveness of parallel manufacturing is verified by taking the workflow of customized shoes as a case, especially the unmanned production line named FlexVega.","url":"https://doi.org/10.1109/jas.2022.106097","authors":["H. J. Yang","Xiaoxing Wang","Yandong Zhao"],"tags":["Workflow","Computer science","Cyber-physical system","Variety (cybernetics)","Process development execution system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.1109/jas.2022.106097","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4389832672","name":"Robotics and Manufacturing Automation","source":"openalex","abstract":"Manufacturing automation is vital to various industrial sectors: aeronatic, automotive, biomedical, consumer goods, and others. Two main trends influence the development of manufacturing automation: the large availability of data, reflecting the environment and the manufacturing process, and the emergence of robotics-based systems, and in general, robotics as a framework for autonomous systems. Both trends impose the integration of more powerful and adaptive control and optimization approaches, enabling new functionality and new business models. This new generation of controllers unifies data-driven, predictive, and learning-based methods making use of the available data, and of the increased computation possibilities due to cloud connectivity and access to better hardware in general. Availability of data and computation capabilities aligns in the concept of digital twin, a living virtual replica of the industrial system, which enables flexible and economically viable approaches to monitoring, predictive maintenance, and individualized production, and more efficient means to control the manufacturing systems.","url":"https://doi.org/10.1002/9781119983644.ch6","authors":["Alisa Rupenyan","Efe C. Balta"],"tags":["Automation","Robotics","Artificial intelligence","Computer science","Automotive industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-15","doi":"https://doi.org/10.1002/9781119983644.ch6","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W3100793743","name":"Robot Based Wire Arc Additive Manufacturing System with Context-Sensitive Multivariate Monitoring Framework","source":"openalex","abstract":"Large scale, metal parts are commonly manufactured by milling with a buy-to-fly-ratio of up to 10. A resource efficient alternative is the production by Direct Energy Deposition (DED) based Wire Arc Additive Manufacturing (WAAM). In this study, a WAAM system is divided into four elements (welding source, kinematic structure, control system, monitoring system) and a review is accomplished for each. Requirements are defined based on these reviews and additional needs and a robot based WAAM setup is proposed. To validate the WAAM setup, first experiments are conducted regarding the influence of the orientation of the welding torch respectively of the lead and the tilt angle on the geometry of a deposited wall. Finally, a framework for a seamlessly integrated monitoring system in hybrid manufacturing for enhanced data analysis is introduced. The framework is based on a digital twin of the workpiece in production which serves as base for proactive, context sensitive process adaptions.","url":"https://doi.org/10.1016/j.promfg.2020.10.103","authors":["Raven T. Reisch","Tobias Hauser","Tobias Kamps","Alois Knoll"],"tags":["Context (archaeology)","Kinematics","Robot","Process (computing)","Robot welding"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.promfg.2020.10.103","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4410716606","name":"Research on the Application and Sustainable Development of Digital Twin Technology Based on Big Data Technology and Deep Learning in the Green Transformation of Manufacturing Industry","source":"openalex","abstract":"With the increasing global attention to sustainable development, traditional manufacturing is accelerating its transformation towards green, intelligent, and service-oriented directions. To address various challenges in green manufacturing, manufacturing companies are gradually introducing advanced technologies such as digital twins, the Internet of Things (IoT), and Cyber Physical Systems (CPS). This article proposes a comprehensive evaluation method based on digital twins, which combines bill of materials (BOM) and energy consumption bill of materials (ECBOM) data, and achieves energy efficiency evaluation throughout the entire lifecycle of manufacturing services by integrating the energy efficiency characteristics of virtual and physical spaces. During the research process, this article constructed a five dimensional energy efficiency evaluation model and innovatively proposed a multi perspective BOM to ECBOM conversion method. In addition, a real-time feedback mechanism has been designed to ensure effective data transfer between physical and virtual spaces. The research results indicate that this method significantly improves the accuracy of energy efficiency assessment, and BOM and ECBOM play a crucial role as data links in energy efficiency assessment in virtual and physical spaces. The method proposed in this article has important application prospects for promoting the green transformation and sustainable development of the manufacturing industry.","url":"https://doi.org/10.1016/j.procs.2025.04.189","authors":["Бин Ли"],"tags":["Computer science","Big data","Transformation (genetics)","Digital transformation","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.procs.2025.04.189","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4412102646","name":"Design and analysis of TwinCardio framework to detect and monitor cardiovascular diseases using digital twin and deep neural network","source":"openalex","abstract":"World Health Organization (WHO) estimates 17.9 million deaths globally every year due to Cardiovascular Disease or CVD, which includes an array of disorders of the heart and blood vessels, that includes coronary heart disease, cerebrovascular disease, rheumatic heart disease, and various other conditions. Notably, there has been nearly 30% increase in heart attack cases among individuals aged 25-44 between 2020 and 2023. These alarming trends make it pertinent for a deeper comprehensive integration of precision healthcare with digital twin. With the development of technologies, such as machine learning, cyber-physical systems, and the Internet of Things (IoT), digital twin is being applied in various industries as a precision simulation technology from concept to practice. Combining healthcare with digital twin paves the path to a more efficient means of delivering accurate and timely services to patients suffering from heart diseases. However, achieving personalized and precise healthcare management requires humans to be in loop with the digital twin, which will facilitate the integration of the patient's physical world with the medical virtual world to realize smart healthcare. This work proposes \"TwinCardio\"-a novel reference framework of digital twin enabled smart health monitoring and \"TwinNet\"-a customized neural network designed for cardiovascular disease classification and prediction. TwinCardio framework is designed for patient monitoring, diagnosing and predicting the aspects of the health of individuals using on-body sensors. It depicts different layer that describes continuous data acquisition, data simulation, evaluation inline with security protocols thus serving as a base to manufacture smart healthcare models.","url":"https://doi.org/10.1038/s41598-025-08824-3","authors":["Aarthi Iyer","K. S. Umadevi"],"tags":["Computer science","Digital health","Health care","Disease","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-08","doi":"https://doi.org/10.1038/s41598-025-08824-3","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4407343310","name":"The philosophical foundations of digital twinning","source":"openalex","abstract":"Abstract Digital twins are a new paradigm for our time, offering the possibility of interconnected virtual representations of the real world. The concept is very versatile and has been adopted by multiple communities of practice, policymakers, researchers, and innovators. A significant part of the digital twin paradigm is about interconnecting digital objects, many of which have previously not been combined. As a result, members of the newly forming digital twin community are often talking at cross-purposes, based on different starting points, assumptions, and cultural practices. These differences are due to the philosophical world-view adopted within specific communities. In this paper, we explore the philosophical context which underpins the digital twin concept. We offer the building blocks for a philosophical framework for digital twins, consisting of 21 principles that are intended to help facilitate their further development. Specifically, we argue that the philosophy of digital twins is fundamentally holistic and emergentist. We further argue that in order to enable emergent behaviors, digital twins should be designed to reconstruct the behavior of a physical twin by “dynamically assembling” multiple digital “components”. We also argue that digital twins naturally include aspects relating to the philosophy of artificial intelligence, including learning and exploitation of knowledge. We discuss the following four questions (i) What is the distinction between a model and a digital twin? (ii) What previously unseen results can we expect from a digital twin? (iii) How can emergent behaviours be predicted? (iv) How can we assess the existence and uniqueness of digital twin outputs?","url":"https://doi.org/10.1017/dce.2025.4","authors":["David Wagg","Christopher Burr","Jason F. Shepherd","Zack Xuereb Conti","Mark Enzer","Steven Niederer"],"tags":["Crystal twinning","Philosophy","Epistemology","Materials science","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1017/dce.2025.4","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4285114031","name":"Self-improving Models for the Intelligent Digital Twin: Towards Closing the Reality-to-Simulation Gap","source":"openalex","abstract":"This paper presents a novel approach to ensure the quality of the Digital Twin models that modern Cyber-Physical Manufacturing Systems (CPMS) rely on. CPMS are configurable and intelligent. Environmental and system parameters change frequently. Thus, static models are inadequate. Autonomous mobile robots and the simulation of their movement are important elements of these CPMS. Based on our reinforcement learning-based methodology, we use these robots as an example to show how the Digital Twin automatically improves models that do not perfectly represent the physical asset, making it an intelligent Digital Twin. In our scenario, the behavior of the asset deviates from the simulated prediction, i.e., a simulation gap occurs. The presented approach closes this simulation gap through a three-step mechanism. First, it makes the simulated data and the real data comparable and synchronizes it. Second, it applies reinforcement learning to find patterns in the deviations between the simulated and real data. Third, it learns to compensate for them. The evaluation of this example shows promising results.","url":"https://doi.org/10.1016/j.ifacol.2022.04.181","authors":["Manuel Müller","Nasser Jazdi","Michael Weyrich"],"tags":["Computer science","Closing (real estate)","Reinforcement learning","Asset (computer security)","Robot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.04.181","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W2965511319","name":"Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-27477-1_14","authors":["Olivier Cardin","Pierre Castagna","Daniel Couedel","Christophe Plot","Julien Launay","Nadine Allanic","Yannick Madec","Stéphanie Jegouzo"],"tags":["Pillar","Sustainability","Computer science","Resource (disambiguation)","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-02","doi":"https://doi.org/10.1007/978-3-030-27477-1_14","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4296112396","name":"Digital Food Twins Combining Data Science and Food Science: System Model, Applications, and Challenges","source":"openalex","abstract":"The production of food is highly complex due to the various chemo-physical and biological processes that must be controlled for transforming ingredients into final products. Further, production processes must be adapted to the variability of the ingredients, e.g., due to seasonal fluctuations of raw material quality. Digital twins are known from Industry 4.0 as a method to model, simulate, and optimize processes. In this vision paper, we describe the concept of a digital food twin. Due to the variability of the raw materials, such a digital twin has to take into account not only the processing steps but also the chemical, physical, or microbiological properties that change the food independently from the processing. We propose a hybrid modeling approach, which integrates the traditional approach of food process modeling and simulation of the bio-chemical and physical properties with a data-driven approach based on the application of machine learning. This work presents a conceptual framework for our digital twin concept based on explainable artificial intelligence and wearable technology. We discuss the potential in four case studies and derive open research challenges.","url":"https://doi.org/10.3390/pr10091781","authors":["Christian Krupitzer","Tanja Noack","Christine Borsum"],"tags":["Computer science","Raw data","Process (computing)","Data science","Food processing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-05","doi":"https://doi.org/10.3390/pr10091781","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4312957832","name":"Using mixed reality based digital twins for robotics education","source":"openalex","abstract":"The share of people in industrial manufacturing working with robots will increase in the coming years. This creates the need to define further education and training programs which must be tailored to the demand of increased robotics in industry. Combining immersive technologies like mixed reality with robotics education leads a promising path to broaden the access to fundamental knowledge of industrial robotics. As high demands are placed on teaching complex topics like coordinate transformation in six degrees of freedom, which is crucial to understand for operating a six-axes industrial robot, a more intuitive and easier access to robotics must be ensured. Based on this, the aim of this work is to contribute facilitating the use of a mixed reality based digital twin platform for robotics education. To this end, a combined system of desktop robotics and mixed reality is to be expanded and investigated for entry into robotics courses. After the introduction of the Augmented reality Robot Number One (ARNO) platform and insights into its evolution since the initial development, we summarize learning outcomes towards a cost-effective platform solution as well as challenges along the way and future tasks to quantify the solution.","url":"https://doi.org/10.1109/ismar-adjunct57072.2022.00021","authors":["Horst Orsolits","Sebastian Felix Rauh","José Garcia Estrada"],"tags":["Robotics","Artificial intelligence","Educational robotics","Robot","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-01","doi":"https://doi.org/10.1109/ismar-adjunct57072.2022.00021","addedAt":"2026-09-01T01:47:42.179Z","updatedAt":"2026-09-01T01:47:42.179Z"},{"id":"oa:W4415171625","name":"Multi-level dynamics response-based resilient production control for digital twin-enabled modular manufacturing systems","source":"openalex","abstract":"The increasing demand for customized products and the highly competitive market have driven a shift from conventional manufacturing to flexible modular manufacturing. Although the flexibility in operations and process routes of modular manufacturing systems (MMS) helps address the complexities of mass-customized production, this high flexibility also increases the complexity of production operations, causing frequent production dynamics. To mitigate the adverse effects of these dynamics on production plans in MMS, a multi-level dynamic response-based resilient production control concept was proposed for digital twin-enabled MMS. The architecture of digital twin-enabled MMS was designed to simulate production schemes and predict performance indicators, and its digital space layer consisted of three-level digital twin models corresponding to workstation, process route, and manufacturing system levels. To effectively manage production dynamics across these levels, a resilient production control mechanism was proposed within the digital twin-enabled MMS. A completion delay prediction-based dynamic production scheduling approach and three levels of dynamic response strategies for reconfiguring process service routes was then developed, respectively. The feasibility and effectiveness of the proposed method were validated through theory-based comprehensive simulations, demonstrating a general way to achieving resilient production control in highly dynamic manufacturing environments by digital twin technology and flexible manufacturing resource reconfigurations.","url":"https://doi.org/10.1080/0951192x.2025.2563255","authors":["Lei Liu","Weiming Shen","Matthias Thürer","Lin Ma","Zhongfei Zhang","Mingze Yuan","WeiMing Shen"],"tags":["Modular design","Computer science","Production (economics)","Control (management)","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-13","doi":"https://doi.org/10.1080/0951192x.2025.2563255","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W4309628564","name":"Lithium ion battery electrode manufacturing model accounting for 3D realistic shapes of active material particles","source":"openalex","abstract":"The demand for lithium ion batteries (LIBs) in the market has gradually risen, with production increasing and expected to be boosted through the massive emergence of gigafactories. To meet industrial needs, the development of digital twins designed to accelerate the optimization of LIB manufacturing processes is essential. We report here a new three-dimensional physics-based modeling workflow able to predict the influence of manufacturing parameters on the electrode microstructure. This novel modeling workflow accounts for real active material particle shapes obtained from X-ray micro-computed tomography, upgrading our previous models where the particles were considered to be spherical. The modeling workflow is supported on Coarse-Grained Molecular Dynamics simulating the slurry, its drying and the calendering of the electrode resulting from the drying simulation. This model enables to link the manufacturing parameters with the real microstructure of the electrodes and to better observe the effect of the former on the heterogeneity of the electrodes. By using as user case electrodes containing LiNi0.33Co0.33Mn0.33O2 as active material, the simulations allow us, among others, to observe the alteration of the electrode heterogeneity during the manufacturing process and the deformation of the secondary particles of active material.","url":"https://doi.org/10.1016/j.jpowsour.2022.232294","authors":["Jiahui Xu","Alain C. Ngandjong","Chaoyue Liu","Franco M. Zanotto","Oier Arcelus","Arnaud Demortière","Alejandro A. Franco"],"tags":["Electrode","Lithium (medication)","Workflow","Microstructure","Slurry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-11","doi":"https://doi.org/10.1016/j.jpowsour.2022.232294","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4385497910","name":"Near real-time analysis of active distribution networks in a Digital Twin framework: A real case study","source":"openalex","abstract":"The growth of distributed generation and the need of increasing Distribution Network (DN) resilience is encouraging Distribution System Operators (DSO) to increase awareness about the real-time status of the network as well as to actively manage flexible energy resources for improving system performances. In this context, Digital Twin (DT) is an enabling technology for a low-cost distributed framework that supports DN management. DT in the power system can be exploited taking advantage of the successful experiences in other sectors (e.g., smart manufacturing and building automation). This article presents a real case study of a DT development and its integration with an existing DN. The DT system architecture is based on the recent standards whilst main DT components have been originally developed, enabling near real-time services such as data collection, state estimation, and flexibility calculator. The individual performances of the integrated tools and the reliability of DT were tested and validated during one month of continuous operation. During the operation, good service continuity and accuracy performances were reported. Results from the flexibility calculator show the effectiveness of the proposed strategies that can improve the energy efficiency of the DN by increasing local self-consumption of Renewable Energy Sources (RES) production.","url":"https://doi.org/10.1016/j.segan.2023.101128","authors":["Tommaso Bragatto","Marco Antonio Bucarelli","Federico Carere","M. Cresta","Fabio Massimo Gatta","A. Geri","Marco Maccioni","Marco Paulucci","P. Poursoltan","Francesca Santori"],"tags":["Flexibility (engineering)","Resilience (materials science)","Distributed computing","Reliability (semiconductor)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-02","doi":"https://doi.org/10.1016/j.segan.2023.101128","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4399772843","name":"Non-fungible tokens (NFTs) for digital twins in the industrial metaverse: Overview, use cases, and open challenges","source":"openalex","abstract":"Recent years have witnessed the emergence of digital twins in the industrial metaverse, significantly transforming sectors such as manufacturing, automotive, oil and gas, and gaming. As a result, these sectors have experienced increased efficiency, innovation, and revolutionary solutions. Non-fungible tokens (NFTs) have the potential to enhance digital twins in the industrial metaverse by offering opportunities for monetization, traceability, and tracking. Moreover, NFTs can reshape the way industries operate by providing superior transparency, asset management, and intellectual property protection. This paper explores the potential of different types of NFTs, including dynamic and composable NFTs, in various applications within the industrial metaverse that heavily relies on digital twins. We present various industrial use cases where NFTs play a major role. Specifically, we design, implement, and test two use cases involving dynamic and composable NFTs. The data processing methods include algorithm development, simulation, and empirical testing within the industrial metaverse framework. Finally, we identify open research areas and future directions for the industrial metaverse.","url":"https://doi.org/10.1016/j.cie.2024.110315","authors":["Haya R. Hasan","Mohammad Madine","Ahmad Musamih","Raja Jayaraman","Khaled Salah","Ibrar Yaqoob","Mohammed Omar"],"tags":["Computer science","Monetization","Traceability","Metaverse","Automotive industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-18","doi":"https://doi.org/10.1016/j.cie.2024.110315","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3144325512","name":"A digital twin study for immediate design / redesign of impellers and blades: Part 1: CAD modelling and tool path simulation","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.matpr.2021.03.209","authors":["Arivazhagan Anbalagan","Bachu Shivakrishna","Kuthadi Sai Srikanth"],"tags":["CAD","Automation","Machining","Process (computing)","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.matpr.2021.03.209","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4405111486","name":"Digital twin-driven cloud manufacturing system: an implementation framework, operating mechanism and key technologies","source":"openalex","abstract":"Cloud manufacturing (CMfg), as a manufacturing mode to realize resource collaboration and service sharing, can help enterprises reduce costs, increase efficiency and enhance competitiveness. Existing CMfg relies on historical service evaluation results as the basis for task matching and thus lacks effective methods for the precise assessment of the adaptability to current tasks and the sustainability for future endeavors; throughout the service process, deficiencies occur including a lack of real-time assessment, prediction, and optimization capabilities for service execution outcomes. Motivated by the shortcomings of existing CMfg, this article focuses on how to enhance the dynamism and timeliness of the CMfg service process. A novel digital twin (DT)-driven CMfg service model is proposed. Specifically, a framework and an operation mechanism of DT-driven CMfg service are proposed; three key technologies related to DT in CMfg service are proposed, including model migration based matching modeling technology, multi-agent reinforcement learning based CMfg service composition optimization, and DT data-driven CMfg service performance prediction, which provide a theory and method for the DT and CMfg integration construction. The experiment demonstrates that the proposed methods have good performance for the production of cast aluminum engine fan bracket and provide a holistic understanding of DT in CMfg service.","url":"https://doi.org/10.1080/0951192x.2024.2428691","authors":["Yaning Tao","Yu Guo","Yanfei Pan","Shaohua Huang","Weiwei Qian","Jian Xie"],"tags":["Key (lock)","Mechanism (biology)","Cloud computing","Computer science","Cloud manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-06","doi":"https://doi.org/10.1080/0951192x.2024.2428691","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3111438504","name":"Industry 4.0 Visual Tools for Digital Twin System Design","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-63319-6_80","authors":["Vadim A. Shakhnov","Alexey E. Kurnosenko","Aleksei Demin","Andrey Vlasov"],"tags":["Computer science","Process (computing)","Manufacturing engineering","Digital manufacturing","Electronics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-63319-6_80","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W2799665398","name":"A concept in synchronization of virtual production system with real factory based on anchor-point method","source":"openalex","abstract":"A Digital Twin, an always in sync digital model of existing manufacturing cells, can be used to reduce time and risk of reconfiguration by early detection of design or process sequence flaws of the system in virtual commissioning and simulation. In this paper the need of Digital Twins in future production plants as well as the structure of the Digital Twin is presented. The engineering process of production systems is a cross-domain challenge between mechanics, electrics and software, but a lack of collaboration and universal information transfer between the domains leads to a high investment volume by synchronization the digital model from the time of commissioning. To synchronize cross-domain mechatronic data models of mechatronic components in the digital world during the life cycle of existing production systems this paper presents the anchor point method to firstly detect variances of cross-domain mechatronic data structure between the digital model and the real system in the specific domains electrics, mechanics and software and update the virtual models to have a consistent data model of the Digital Twin.","url":"https://doi.org/10.1016/j.procir.2017.12.168","authors":["Behrang Ashtari Talkhestani","Nasser Jazdi","Wolfgang Schlögl","Michael Weyrich"],"tags":["sync","Mechatronics","Synchronization (alternating current)","Engineering","Factory (object-oriented programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1016/j.procir.2017.12.168","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W2836505313","name":"Intelligent control of an assembly station by integration of a digital twin for employees into the decentralized control system","source":"openalex","abstract":"Actual self-controlling production systems need to consider humans as system elements and integrate them according to availability and skills. The role of employees should not be limited to a “resource” but should be extended by taking into account, for example, personal preferences. To achieve this objective, a digital twin for employees has been developed. This paper presents the conceptual approach and its application to an industrially relevant case. The digital twin is implemented for tasks at an assembly station, demonstrating impacts with regard to integration of humans in production systems and production control systems in general.","url":"https://doi.org/10.1016/j.promfg.2018.06.041","authors":["Iris Graessler","Alexander Poehler"],"tags":["Control (management)","Production (economics)","Resource (disambiguation)","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1016/j.promfg.2018.06.041","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3001941716","name":"A Review on Additive Manufacturing of Shape-Memory Materials for Biomedical Applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11837-020-04013-x","authors":["Nasim Sabahi","Wenliang Chen","Chunhui Wang","Jamie J. Kruzic","Xiaopeng Li"],"tags":["Shape-memory alloy","Nanotechnology","Shape-memory polymer","Computer science","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-23","doi":"https://doi.org/10.1007/s11837-020-04013-x","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3181692541","name":"Thermal Parameter and State Estimation for Digital Twins of E-Powertrain Components","source":"openalex","abstract":"The performance of powertrain components in electric vehicles is tightly intertwined with their thermal behavior. In practical applications, their temperature must be monitored and kept below certain thresholds to avoid performance drops and failure. Sensors, however, cannot always be placed at critical locations. Instead, it is possible to use numerical models to estimate relevant magnitudes during system operation. Thermal effects in electric and electronic components can be represented in a compact way using lumped-parameter equivalent circuits. These can be combined with sensor readings from the device under study to develop digital twins and use them to monitor temperatures during test and operation. In this paper, we put forward a method to generate thermal digital twins of e-powertrain elements such as power inverters. The thermal equivalent circuit equations are obtained from a general-purpose simulation software tool and optimized to enable real-time execution. Kalman filters are then used to fuse the simulation results from this model and sensor measurements of component temperatures. The proposed method provides a way to estimate the inputs and parameters of the thermal circuit and can be used to avoid the drift of the simulation away from actual component behavior. The performance of this approach is demonstrated with a simple benchmark example and the thermal equivalent circuit of a three-phase inverter.","url":"https://doi.org/10.1109/access.2021.3094312","authors":["Borja Rodríguez","Emilio Sanjurjo","Maurizio Tranchero","Claudio Romano","Francisco González"],"tags":["Powertrain","Computer science","Equivalent circuit","Benchmark (surveying)","Electronic circuit"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1109/access.2021.3094312","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4281653039","name":"About Digital Twins, Agents, and Multiagent Systems: A Cross-Fertilisation Journey","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-20179-0_8","authors":["Stefano Mariani","Marco Picone","Alessandro Ricci"],"tags":["Computer science","Cyber-physical system","Multi-agent system","The Internet","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-031-20179-0_8","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4312311507","name":"Digital-Twins towards Cyber-Physical Systems: A Brief Survey","source":"openalex","abstract":"Cyber-Physical Systems (CPS) are integrations of computation and physical processes. Physical processes are monitored and controlled by embedded computers and networks, which frequently have feedback loops where physical processes affect computations and vice versa. To ease the analysis of a system, the costly physical plants can be replaced by the high-fidelity virtual models that provide a framework for Digital-Twins (DT). This paper aims to briefly review the state-of-the-art and recent developments in DT and CPS. Three main components in CPS, including communication, control, and computation, are reviewed. Besides, the main tools and methodologies required for implementing practical DT are discussed by following the main applications of DT in the fourth industrial revolution through aspects of smart manufacturing, sixth wireless generation (6G), health, production, energy, and so on. Finally, the main limitations and ideas for future remarks are talked about followed by a short guideline for real-world application of DT towards CPS.","url":"https://doi.org/10.4186/ej.2022.26.9.47","authors":["Amir Parnianifard","Siwanart Jearavongtakul","Pruk Sasithong","Nitinun Sinpan","Suvit Poomrittigul","Ambar Bajpai","Pisit Vanichchanunt","Lunchakorn Wuttisittikulkij"],"tags":["Cyber-physical system","Computer science","Engineering","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-30","doi":"https://doi.org/10.4186/ej.2022.26.9.47","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4321080961","name":"Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review","source":"openalex","abstract":"This review article provides a critical assessment of the progress made in computational modelling of metal-based additive manufacturing (AM) with emphasis on its ability to predict physical phenomena, concepts of microstructural evolution, residual stresses, role of multiple thermal cycles, and formation of multi-dimensional defects along with the achieved degree of experimental validation. The uniqueness of this article stems from the inclusion of comprehensive information on computational progress in the field of fusion-based, sintering-based, and mechanical deformation-based AM. A computational model's role in determining the process framework for the desired outcome of the set properties of the AM components is recognised while presenting the process-microstructure maps, thereby appraising computational ability towards the qualification of products. The inclusion of a detailed discussion on the bi-directional coupling of machine learning and physics-based computational models provides a futuristic roadmap for the digital twin of metal-based AM.","url":"https://doi.org/10.1080/09506608.2023.2169501","authors":["Shashank Sharma","Sameehan S. Joshi","Mangesh V. Pantawane","M. Radhakrishnan","Sangram Mazumder","Narendra B. Dahotre"],"tags":["Multiphysics","Computational model","Process (computing)","Computer science","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-16","doi":"https://doi.org/10.1080/09506608.2023.2169501","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3080804889","name":"Towards a DevOps Approach in Cyber Physical Production Systems Using Digital Twins","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-55583-2_15","authors":["Miriam Ugarte","Leire Etxeberria","Goiuria Sagardui"],"tags":["DevOps","Agile software development","Cyber-physical system","Computer science","Agile manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-55583-2_15","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4389203396","name":"Implementation of Digital Twin and Real Production System to Address Actual and Future Challenges in Assembly Technology","source":"openalex","abstract":"Increasing volatility in manufacturing and rising sustainability requirements demand more efficient processes in production, especially in employee qualification and engineering during development and on-site adjustments before and after the start of production. One possible solution is using digital twins for virtual commissioning, which can speed up engineering processes, qualify employees, and save valuable resources. To solve these challenges, it is necessary to identify promising approaches for using the digital twin and virtual commissioning. Furthermore, creating an environment where these approaches can be optimally explored is essential. This paper presents promising research approaches and demonstrates the development of an assembly process and a production system with a digital twin designed to explore these aspects. The presented system is an interlinked production system for assembling an actual industrial product. It includes different levels of human–robot interaction and automation, which can be implemented virtually in the digital twin.","url":"https://doi.org/10.3390/automation4040020","authors":["Lukas Christ","Elías Milloch","Marius Boshoff","Alfred Hypki","Bernd Kuhlenkötter"],"tags":["Automation","Production (economics)","Process (computing)","Manufacturing engineering","Project commissioning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-29","doi":"https://doi.org/10.3390/automation4040020","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4365790281","name":"Infrastructure-Based Digital Twins for Cooperative, Connected, Automated Driving and Smart Road Services","source":"openalex","abstract":"Driving requires continuous decision making from a driver taking into account all available relevant information. Automating driving tasks also automates the related decisions. However, humans are very good at dealing with bad quality, fuzzy, informal and incomplete information, whereas machines generally require solid quality information in a formalized format. Therefore, the development of automated driving functions relies on the availability of machine-usable information. A digital twin contains quality controlled information collected and augmented from different sources, ready to be supplied to such an automated driving function. An information model that describes all conceivably relevant information is necessary. To this end, a list of requirements that such an information model should meet is proposed and each requirement is argued for. Based on the anticipated services and applications that such a system should support, a collection of requirements for system architecture is derived. Information modeling is performed for selected relevant information groups. A system architecture has been proposed and validated with three different implementations, addressing several different applications to support decisions at a highway tunnel construction site in Austria and throughout the Test Bed Lower Saxony in Germany.","url":"https://doi.org/10.1109/ojits.2023.3266800","authors":["Elvira Thonhofer","Simon Sigl","Martin Fischer","Fin Heuer","Andreas Kuhn","Jacqueline Erhart","Manfred Harrer","Wolfgang Schildorfer"],"tags":["USable","Computer science","Implementation","Architecture","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/ojits.2023.3266800","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3144328331","name":"Simulation in Hybrid Digital Twins for Factory Layout Planning","source":"openalex","abstract":"As manufacturing companies make changes to their production system, changes to the factory layout usually follow. The layout of a factory considers the positioning of all elements in the production system, and can contribute to the overall efficiency of operations and the work environment. The process of planning factory layouts affects both installation of the changes and operation of the production system, so the effects can be utilized for a long period of time. By combining 3D laser scanning, Virtual Reality, CAD models, and simulation modelling in a hybrid digital twin, this planning process can be noticeably improved yielding benefits in all phases. This is exemplified via a novel longitudinal industrial study using participant observation to gather data. Findings from the study show that the factory layout planning process can be innovated by smart use of modern digital technologies, resulting in better solution and more informed decisions with reduced risk.","url":"https://doi.org/10.1109/wsc48552.2020.9384075","authors":["Daniel Nåfors","Björn Johansson","Per Gullander","Sven Erixon"],"tags":["Factory (object-oriented programming)","Manufacturing engineering","Process (computing)","Computer science","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-14","doi":"https://doi.org/10.1109/wsc48552.2020.9384075","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4393284236","name":"Generation of Asset Administration Shell With Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0","source":"openalex","abstract":"This research introduces a novel approach for achieving semantic interoperability in digital twins and assisting the creation of Asset Administration Shell (AAS) as digital twin model within the context of Industry 4.0. The foundational idea of our research is that the communication based on semantics and the generation of meaningful textual data are directly linked, and we posit that these processes are equivalent if the exchanged information can be serialized in text form. Based on this, we construct a “semantic node” data structure in our research to capture the semantic essence of textual data. Then, a system powered by large language models is designed and implemented to process the “semantic node” and generate standardized digital twin models (AAS instance models in the context of Industry 4.0) from raw textual data collected from datasheets describing technical assets. Our evaluation demonstrates an effective generation rate of 62-79%, indicating a substantial proportion of the information from the source text can be translated error-free to the target digital twin instance model with the generative capability of large language models. This result has a direct application in the context of Industry 4.0, and the designed system is implemented as a data model generation tool for reducing the manual effort in creating AAS model by automatically translating unstructured textual data into a standardized AAS model. The generated AAS model can be integrated into AAS-compliant digital twin software for seamless information exchange and communication. In our evaluation, a comparative analysis of different LLMs and an in-depth ablation study of Retrieval-Augmented Generation (RAG) mechanisms provide insights into the effectiveness of LLM systems for interpreting technical concepts and translating data. Our findings emphasize LLMs’ capability to automate AAS instance creation and contribute to the broader field of semantic interoperability for digital twins in industrial applications. The prototype implementation and evaluation results are presented on our GitHub Repository:https://github.com/YuchenXia/AASbyLLM.","url":"https://doi.org/10.1109/access.2024.3415470","authors":["Yuchen Xia","Zhewen Xiao","Nasser Jazdi","Michael Weyrich"],"tags":["Computer science","Semantic interoperability","Context (archaeology)","Interoperability","Asset (computer security)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3415470","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4319081218","name":"Digital manufacturing of personalised footwear with embedded sensors","source":"openalex","abstract":"The strong clinical demand for more accurate and personalized health monitoring technologies has called for the development of additively manufactured wearable devices. While the materials palette for additive manufacturing continues to expand, the integration of materials, designs and digital fabrication methods in a unified workflow remains challenging. In this work, a 3D printing platform is proposed for the integrated fabrication of silicone-based soft wearables with embedded piezoresistive sensors. Silicone-based inks containing cellulose nanocrystals and/or carbon black fillers were thoroughly designed and used for the direct ink writing of a shoe insole demonstrator with encapsulated sensors capable of measuring both normal and shear forces. By fine-tuning the material properties to the expected plantar pressures, the patient-customized shoe insole was fully 3D printed at room temperature to measure in-situ gait forces during physical activity. Moreover, the digitized approach allows for rapid adaptation of the sensor layout to meet specific user needs and thereby fabricate improved insoles in multiple quick iterations. The developed materials and workflow enable a new generation of fully 3D printed soft electronic devices for health monitoring.","url":"https://doi.org/10.1038/s41598-023-29261-0","authors":["Marco R. Binelli","Ryan van Dommelen","Yannick Nagel","Jaemin Kim","Rubaiyet Iftekharul Haque","Fergal B. Coulter","Gilberto Siqueira","André R. Studart","D. Briand"],"tags":["Workflow","3D printing","Wearable computer","Computer science","Fabrication"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-03","doi":"https://doi.org/10.1038/s41598-023-29261-0","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4391661336","name":"Digital Twin","source":"openalex","abstract":"This is an open access book. Simula Springer Briefs on Digital Twin, Edge Computing, Machine Learning, 6G, Internet of Things.","url":"https://doi.org/10.1007/978-3-031-51819-5","authors":["Yan Zhang"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-51819-5","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"oa:W7117149441","name":"Numerical modeling and Digital Twins in Wire Arc Additive Manufacturing","source":"openalex","abstract":"Wire Arc Additive Manufacturing (WAAM) has become a valuable tool for cost-effective production of large metal structures with complex geometry using established arc-welding hardware and wire feedstock. However, the complexity of underlying physics makes it difficult to predict the geometry and stress state of final products. Heat accumulation, inter-pass temperature, and path planning influence bead shape and defect formation, while cyclic thermal loading induces residual stresses and distortion, which hinder repeatability and certification. High-fidelity numerical modelling, while being important for studying and optimization of WAAM process, remains unsuitable for real time simulation and control due to high computational cost. In order to overcome the limitations of pure physics-based models, the interest has shifted to hybrid workflows— combined physics-based and data-driven models calibrated by real-time sensing—embedded in Digital Twin architectures to support prediction, monitoring, and process control. The objective of this study is to systemise recent advances in multi-scale multi-physics numerical modelling for wire arc additive manufacturing (WAAM) and provide insight into Digital Twin (DT) architectures alongside data-driven approaches based on artificial intelligence (AI), machine learning (ML) and data management. The extensive literature review was performed to reveal advantages and limitations of these simulation method and how they could transition WAAM to intelligent manufacturing, driven by multiple data streams, with real-time monitoring, predictive analytics, and autonomous correction. The results of the review can be used in future studies to organize and assemble intelligent WAAM systems in laboratory experimental conditions with a perspective of industrial applications.","url":"https://doi.org/10.20535/2521-1943.2025.9.3(106).338860","authors":["Roman Tryhubov","Mykola Kryshchuk"],"tags":["Residual stress","Numerical control","Mechanical engineering","Process (computing)","Arc (geometry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.20535/2521-1943.2025.9.3(106).338860","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4390439303","name":"Machine-learning based process monitoring for automated composites manufacturing","source":"openalex","abstract":"Abstract Automated fibre placement (AFP) is an advanced robotic manufacturing technique which can overcome the challenges of traditional composite manufacturing. The interlaminar strength of AFP-manufactured composites depends on the in-situ thermal history during manufacturing. The thermal history is controlled by the choice of processing conditions and improper interfacial temperatures may result in insufficient bonding. Being able to better predict such maintenance issues in real-time is an important focus of smart manufacturing and Industry 4.0 to improve manufacturing operations. The data analysis of real-time temperature measurements during AFP composites manufacturing requires the temperature profiles from Finite Element Analysis (FEA) based simulations of the AFP process to better predict the quality of layup. However, the FEA simulations of the AFP process are computationally expensive. This study focuses on developing a digital tool enabling real-time process monitoring and predictive maintenance of the AFP process. The digital tool constitutes a machine learning-based surrogate model based on results from Finite Element Analysis (FEA) simulations of the AFP process to predict the in-situ thermal profile during AFP manufacturing. Multivariate Linear Regression, Multivariate Polynomial Regression, Support Vector Machine, Random Forest and Artificial Neural Network (ANN)-based models are compared to conclude that ANN based surrogate model performs best by predicting the important parameters of thermal profiles with a mean absolute percentage error of 1.56% on additional test data and reducing the time by four orders of magnitude as compared to FEA simulations. The predicted thermal profile can be compared with the real-time in-situ temperatures during manufacturing to predict the quality of the layup. A GUI application is developed to provide predicted thermal profiles data for analysis in conjunction with real-time temperatures during manufacturing enabling monitoring and predictive maintenance of the AFP process and paving way for the development of a digital twin of the AFP composites manufacturing process.","url":"https://doi.org/10.1007/s10845-023-02282-2","authors":["Ahmed Mujtaba","Faisal Islam","Patrick Kaeding","Thomas Lindemann","B. Gangadhara Prusty"],"tags":["Finite element method","Process (computing)","Support vector machine","Artificial neural network","Random forest"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-30","doi":"https://doi.org/10.1007/s10845-023-02282-2","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4386949797","name":"Digital twins of organization: implications for organization design","source":"openalex","abstract":"Abstract The recent rise of using digital representations for products and processes has created a movement to use ‘digital twins’ for organization design. We provide an overview of the notion of digital twin as a synchronized, real-time two-way interacting digital representation of the real-world phenomenon it is expected to replicate as a twin. The claim of a two-way causal connection between the real-world and the digital representation makes the current rhetoric about Digital Twins especially problematic. To grasp the challenges involved in Digital Twins of Organizations (DTO), we start from Digital Twins of Things (DTT) and Digital Twins of Business Processes (DTBP). We analyze and compare different kinds of digital twins using Peircean theory of semiotic relationships, which differentiate between signals, icons, and symbols. We posit that in order to fully model organizations as digital twins, an organization designer needs to model features of organizations that are not present in DTTs and DTBPs, such as agency, conflict, and emergence. Given the inevitable presence of symbolic phenomena, we speculate to what extent it is possible to move towards full DTOs, what characteristics broader DTOs need to have, and what benefits more extensive use of DTOs will offer for organization designers. We finally offer pointers towards a research agenda for DTOs that have the potential to improve organization designs and contribute to theory on organization design.","url":"https://doi.org/10.1007/s41469-023-00151-z","authors":["Kalle Lyytinen","Barbara Weber","Markus C. Becker","Brian T. Pentland"],"tags":["Industrial and organizational psychology","Organizational architecture","Knowledge management","Organizational behavior","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-22","doi":"https://doi.org/10.1007/s41469-023-00151-z","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4386395522","name":"Digital twins and blockchain technology in the industrial Internet of Things (IIoT) using an extended decision support system model: Industry 4.0 barriers perspective","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.techfore.2023.122794","authors":["Yi Li","Da An Su","Abbas Mardani"],"tags":["Industry 4.0","Computer science","Traceability","Transparency (behavior)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-28","doi":"https://doi.org/10.1016/j.techfore.2023.122794","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7134918708","name":"Synergy between Digital Twin and Cyber-Physical System in Manufacturing","source":"openalex","abstract":"The rapid digitalization of manufacturing systems has led to the emergence of Cyber-Physical Systems (CPS) and Digital Twins (DTs) as key enablers of the Industry 4.0 revolution. While CPS provides real-time sensing, communication, and control across physical and cyber domains, DT offers a virtual mirror of assets and processes, enabling simulation, prediction, and optimization. The integration of these two paradigms creates a synergistic framework that enhances adaptability, resilience, and sustainability in modern manufacturing. This chapter explores the synergy between CPS and DT, emphasizing how their convergence enables real-time decision-making, predictive maintenance, process optimization, and lifecycle management. The conceptual architecture of DT–CPS integration is presented, highlighting data acquisition, interoperability, and feedback mechanisms. Representative applications in smart manufacturing, energy management, and automation are discussed to demonstrate their potential for sustainable industrial transformation. Finally, the chapter outlines implementation challenges, emerging research directions, and the evolving role of DT–CPS ecosystems in shaping intelligent, resource-efficient manufacturing systems aligned with the goals of Industry 5.0.","url":"https://doi.org/10.1201/9781003504825-9","authors":["Vikram Athreya V.","Sharath Chandra N.","Anupama B. C.","Hulugappa B."],"tags":["Automation","Industry 4.0","Process (computing)","Cyber-physical system","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.1201/9781003504825-9","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4380986314","name":"Digital Twins for Smart Spaces—Beyond IoT Analytics","source":"openalex","abstract":"Smart spaces, physical spaces that are integrated with sensor-enabled IoT devices, are a powerful paradigm for optimizing the operations of the space and improving its quality for the occupants. Managing the applications and services running in the space is a complex task as the operations of the devices and services are dependent on the physical characteristics of the space, the occupants of the space, and the technologies that are being integrated. Digital twinning, the combination of physical representations with a virtual counterpart, is a potential technology for facilitating the management of smart space devices and services. While digital twins are increasingly adopted in industry, their use in everyday environments remains low due to difficulties in creating and linking the virtual representation with the physical environment. In this paper, we propose our vision for the adoption of digital twinning as a pathway to improve the functions of smart spaces. We derive a generic reference architecture that comprises four layers, covering the physical space, the sensing infrastructure, the network interfaces, and the underlying computational infrastructure. Next, we identify and address key requirements for the uptake of digital twins in smart space and assess their benefits using the ascendancy model of business analytics. Finally, to demonstrate the practicality of digital twinning, we present a proof-of-concept digital twin for the TellUs smart space at the University of Oulu in Finland and use it to highlight the potential benefits of different ascendancy levels.","url":"https://doi.org/10.1109/jiot.2023.3287032","authors":["Naser Hossein Motlagh","Martha Arbayani Zaidan","Lauri Lovén","Pak Lun Fung","Tuomo Hänninen","Roberto Morabito","Petteri Nurmi","Sasu Tarkoma"],"tags":["Computer science","Analytics","Space (punctuation)","Representation (politics)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-16","doi":"https://doi.org/10.1109/jiot.2023.3287032","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4406764088","name":"Digital Twin Design and Cross Process Model Transfer for Additive Manufacturing","source":"openalex","abstract":"Digital twins serve as powerful tools for monitoring the status and anticipating errors within manufacturing processes. However, the creation of these digital twins entails a significant investment in time and resources. This paper delves into the process of crafting digital twins for material extrusion additive manufacturing. Furthermore, it investigates the application of cross model transfer learning to such digital twins, and assesses the feasibility in transferring digital twins rather than building them from the ground up.","url":"https://doi.org/10.1016/j.ifacol.2025.01.106","authors":["Frank Y. Lai","Eric Shen","James W. Fonda","Al Salour","Dawn M. Tilbury","Kira Barton"],"tags":["Process (computing)","Computer science","Manufacturing engineering","Engineering","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.ifacol.2025.01.106","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4408179778","name":"Towards safe motion planning for industrial human-robot interaction: A co-evolution approach based on human digital twin and mixed reality","source":"openalex","abstract":"Advanced human-robot interaction (HRI) is essential for the next-generation human-centric manufacturing mode such as “Industry 5.0”. Despite recent mutual cognitive approaches can enhance the understanding and collaboration between humans and robots, these methods often rely on predefined rules and are limited in adapting to new tasks or changes of the working environment. These limitations can hinder the popularization of collaborative robots in dynamic manufacturing environments, where tasks can be highly variable, and unforeseen operational changes frequently occur. To address these challenges, we propose a co-evolution approach for the safe motion planning of industrial human-robot interaction. The core idea is to promote the evolution of human worker’s safe operation cognition as well as the evolution of robot’s safe motion planning strategy in a unified and continuous framework by leveraging human digital twin (HDT) and mixed reality (MR) technologies. Specifically, HDT captures real-time human behaviors and postures, which enables robots to adapt dynamically to the changes of human behavior and environment. HDT also refines deep reinforcement learning (DRL)-based motion planning, allowing robots to continuously learn from human actions and update their motion strategies. On the other hand, MR superimposes rich information regarding the tasks and robot in the physical world, helping human workers better understand and adapt to robot’s actions. MR also provides intuitive gesture-based user interface, further improving the smoothness of human-robot interaction. We validate the proposed approach’s effectiveness with evaluations in realistic manufacturing scenarios, demonstrating its potential to advance HRI practice in the context of smart manufacturing.","url":"https://doi.org/10.1016/j.rcim.2025.103012","authors":["Bohan Feng","Zeqing Wang","Lianjie Yuan","Qi Zhou","Yulin Chen","Youyi Bi"],"tags":["Mixed reality","Human–robot interaction","Human–computer interaction","Motion (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-06","doi":"https://doi.org/10.1016/j.rcim.2025.103012","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3163880085","name":"RegARD: Symmetry-Based Coarse Registration of Smartphone’s Colorful Point Clouds with CAD Drawings for Low-Cost Digital Twin Buildings","source":"openalex","abstract":"Coarse registration of 3D point clouds plays an indispensable role for parametric, semantically rich, and realistic digital twin buildings (DTBs) in the practice of GIScience, manufacturing, robotics, architecture, engineering, and construction. However, the existing methods have prominently been challenged by (i) the high cost of data collection for numerous existing buildings and (ii) the computational complexity from self-similar layout patterns. This paper studies the registration of two low-cost data sets, i.e., colorful 3D point clouds captured by smartphones and 2D CAD drawings, for resolving the first challenge. We propose a novel method named ‘Registration based on Architectural Reflection Detection’ (RegARD) for transforming the self-symmetries in the second challenge from a barrier of coarse registration to a facilitator. First, RegARD detects the innate architectural reflection symmetries to constrain the rotations and reduce degrees of freedom. Then, a nonlinear optimization formulation together with advanced optimization algorithms can overcome the second challenge. As a result, high-quality coarse registration and subsequent low-cost DTBs can be created with semantic components and realistic appearances. Experiments showed that the proposed method outperformed existing methods considerably in both effectiveness and efficiency, i.e., 49.88% less error and 73.13% less time, on average. The RegARD presented in this paper first contributes to coarse registration theories and exploitation of symmetries and textures in 3D point clouds and 2D CAD drawings. For practitioners in the industries, RegARD offers a new automatic solution to utilize ubiquitous smartphone sensors for massive low-cost DTBs.","url":"https://doi.org/10.3390/rs13101882","authors":["Yijie Wu","Jianga Shang","Fan Xue"],"tags":["Point cloud","Computer science","Point (geometry)","Artificial intelligence","CAD"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-11","doi":"https://doi.org/10.3390/rs13101882","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4376624975","name":"Recent Development Techniques on Digital Twins for Manufacturing: State of the Art","source":"openalex","abstract":"Industry 4.0 is the trend of today's industry. It integrates many new technologies such as Big data, Artificial Intelligence, Internet of Things, Cloud Computing, etc. One of the main important areas that are affected by this revolution is the manufacturing sectors. These technologies exist in the industrial field, and they have already served to upgrade the manufacturing process and to put it on the path of digitalization. Therefore, a new concept for smart manufacturing systems that are currently in use, who is the Digital Twin (DT) for manufacturing. It is a virtual reflection of a real element. It can be used to check the flexibility of the manufacturing layout, reproduce complex manufacturing systems and evaluate production efficiency in real time. The DT system allows us to test virtual scenarios, optimize and improve working conditions. It predict also what will happen in the real world. The application of DTs for small and medium-sized enterprises (SMEs) is an important task. It has many advantages to improve the real-time status of machines and products. It ensures also, the continuity between the different areas of industry. The deployment of this concept in the manufacturing sector of an SME, requires the identification of techniques already deployed in the literature. In this paper, the main techniques used in the four layers of DTs, such as the cyber layer, the computing layer, physical layer, and the service layer are reviewed in detail. Their requirements and proposed solutions are also discussed. Another focus, is to provide a framework for the development of DTs for SMEs. On the basis of this framework, we focus on minimizing the costs of digitization. In future works, we aim to implement the proposed framework.","url":"https://doi.org/10.1109/itsis56166.2022.10118420","authors":["Ghayth Gandouzi","Imen Belhadj","Moncef Hammadi","Nizar Aifaoui","Jean‐Yves Choley"],"tags":["Industry 4.0","Flexibility (engineering)","Computer science","Manufacturing engineering","Software deployment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-15","doi":"https://doi.org/10.1109/itsis56166.2022.10118420","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4407141772","name":"Seeking a Definition of Digital Twins for Construction and Infrastructure Management","source":"openalex","abstract":"The integration of digital twins (DTs) in construction is still in its infancy compared to other sectors. However, the potential for optimising project lifecycle management is significant, promising transformative impacts on safety and operational performance. In this study, the evolution of technologies preceding DTs is explored. A detailed description of the various platforms where DTs can be implemented is discussed and parallels are established with other sectors, such as manufacturing and healthcare, highlighting the successful application of DTs in these fields. The key benefits of integrating DTs in the construction industry and complex infrastructure management are assessed, emphasising that the accuracy of asset representation is crucial for their effective utilisation. Moreover, the challenges associated with recording, storing, and accessing both static and dynamic data are discussed, providing insights into the pros and cons of managing data through back-end versus front-end processes. Case studies of a transport railway station and an educational centre illustrate the practical applications and advantages of DTs, such as enhanced visual representation, improved understanding of construction and management dynamics, real-time information integration, and collaborative management processes. This paper advocates for the first steps toward establishing a European definition of DTs and standardising the relevant processes.","url":"https://doi.org/10.3390/app15031557","authors":["Ángel Aragón","Mathieu Arquier","Onur Behzat Tokdemir","Alejandro Enfedaque","Marcos García Alberti","Fabien Lieval","Eduard Loscos","Rubén Muñoz Pavón","Dan Novischi","Pablo Vicente Legazpi","Ángel Yagüe"],"tags":["Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-04","doi":"https://doi.org/10.3390/app15031557","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4405747097","name":"Digital Twin Enabling Technologies for Advancing Road Engineering and Lifecycle Applications","source":"openalex","abstract":"Road infrastructure is facing significant digitalization challenges within the context of new infrastructure construction in China and worldwide. Among the advanced digital technologies, digital twin (DT) has gained prominence across various engineering sectors, including the manufacturing and construction industries. Specifically, road engineering has demonstrated a growing interest in DT and has achieved promising results in DT-related applications over the past several years. This paper systematically introduces the development of DT and examines its current state in road engineering by reviewing research articles on DT-enabling technologies, such as model creation, condition sensing, data processing, and interaction, as well as its applications throughout the lifecycle of road infrastructure. The findings indicate that research has primarily focused on data perception and virtual model creation, while real-time data processing and interaction between physical and virtual models remain underexplored. DT in road engineering has been predominantly applied during the operation and maintenance phases, with limited attention given to the construction and demolition phases. Future efforts should focus on establishing uniform standards, developing innovative perception and data interaction techniques, optimizing development costs, and expanding the scope of lifecycle applications to facilitate the digital transformation of road engineering. This review provides a comprehensive overview of state-of-the-art advancements in this field and paves the way for leveraging DT in road infrastructure lifecycle management.","url":"https://doi.org/10.1016/j.eng.2024.12.017","authors":["Yu Yan","Ni Lei","Lijun Sun","Ying Wang","Jianing Zhou"],"tags":["Systems engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-24","doi":"https://doi.org/10.1016/j.eng.2024.12.017","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4402260883","name":"Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin","source":"openalex","abstract":"This article presents the guided Bayesian optimization (BO) algorithm as an efficient data-driven method for iteratively tuning closed-loop controller parameters using a digital twin of the system. The digital twin is built using closed-loop data acquired during standard BO iterations, and activated when the uncertainty in the Gaussian Process model of the optimization objective on the real system is high. We define a controller tuning framework independent of the controller or the plant structure. Our proposed methodology is model-free, making it suitable for nonlinear and unmodelled plants with measurement noise. The objective function consists of performance metrics modeled by Gaussian processes. We utilize the available information in the closed-loop system to progressively maintain a digital twin that guides the optimizer, improving the data efficiency of our method. Switching the digital twin on and off is triggered by our data-driven criteria related to the digital twin’s uncertainty estimations in the BO tuning framework. Effectively, it replaces much of the exploration of the real system with exploration performed on the digital twin. We analyze the properties of our method in simulation and demonstrate its performance on two real closed-loop systems with different plant and controller structures. The experimental results show that our method requires fewer experiments on the physical plant than Bayesian optimization to find the optimal controller parameters. Note to Practitioners—Industrial applications typically are difficult to model due to disturbances. Bayesian optimization is a data-efficient iterative tuning method for a black box system in which the performance can only be measured given the control parameters. Iterative measurements involve operational costs. We propose a guided Bayesian optimization method that uses all information flow in a system to define a simplified digital twin of the system using out-of-the-box methods. It is continuously updated with data from the system. We use the digital twin instead of the real system to perform experiments and to find optimal controller parameters while we monitor the uncertainty of the resulting predictions. When the uncertainty exceeds a tolerance threshold, the real system is measured, and the digital twin is updated. This results in fewer experiments on the real system only when needed. We then demonstrate the improved data efficiency of the guided Bayesian optimization on real-time linear and rotary motor hardware. These common industrial plants need to be controlled rigorously in a closed-loop system. Our method requires 57% and 46% fewer experiments on the hardware than Bayesian optimization to tune the control parameters of the linear and rotary motor systems. Our generic approach is not limited to the controller parameters but also can optimize the parameters of a manufacturing process.","url":"https://doi.org/10.1109/tase.2024.3454176","authors":["Mahdi Nobar","J.P. Keller","Alisa Rupenyan","Mohammad Khosravi","John Lygeros"],"tags":["Bayesian optimization","Computer science","Bayesian probability","Controller (irrigation)","Control theory (sociology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-05","doi":"https://doi.org/10.1109/tase.2024.3454176","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4310249075","name":"Digital twins in the green life sciences","source":"openalex","abstract":"Digital twins provide a new paradigm for the integrated use of sensor data, process-based and data-driven modelling, and user interaction, to explore the behaviour of individual objects and processes. Digital twins originate from an engineering context and were developed for machines and mainly physical and chemical processes. In this paper, we further develop an understanding of digital twins for the green life sciences, which also include biological and social processes. We report on three use cases, in precision farming, greenhouse control and personalized dietary advice, focusing on practical benefits and challenges of digital twins compared with other research methods. This research extends earlier more conceptual research on digital twins in this domain. We find benefits in increased accuracy and impact because of the real-time data connection of digital twins to their real-life counterparts. Specification, availability and accuracy of relevant data sources are still major challenges. Specifically, when using digital twins for personalized advice, further research is needed on nontechnical aspects so that users will comply with the advice from the digital twins. We have outlined four directions of future research and expect that further research will include data-driven modelling to simulate the complex character of living objects and processes and at the same time develop approaches to limit the amount of required input data.","url":"https://doi.org/10.1080/27685241.2022.2150571","authors":["Willem Jan Knibbe","Lydia A. Afman","Sjoerd Boersma","M.J. Bogaardt","Jochem B. Evers","F.K. van Evert","Jene van der Heide","I.E. Hoving","S. van Mourik","Dick de Ridder","Allard de Wit"],"tags":["Computer science","Process (computing)","Data science","Context (archaeology)","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-27","doi":"https://doi.org/10.1080/27685241.2022.2150571","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4399985552","name":"Model Based Systems Engineering applied to Digital Twin engineering: why and how to?","source":"openalex","abstract":"In addition to inheriting concepts and methodological principles from System Engineering, Model-Based Systems Engineering (MBSE) emphasizes the role of modelling and models in engineering processes. Different types of models are then constructed and used, each being a digital representation of a system that is undeniably partial, but also necessary. It highlights and enables the analysis of certain characteristics of this system, e.g. its behaviour, its functions or its composition to make relevant design choices. Digital Twins are the ultimate representation of a system, expected to be faithful and realistic for the purpose they serve, as well as to be connected and synchronized to the modelled physical asset. Hence, they support stakeholders to manage, train or optimize the target system when implemented and put into operation. However, defining and engineering Digital Twins remains a difficult process, with little methodology available to build and ensure it remains faithful to a continuously evolving reality. MBSE provides concepts and a methodological framework that are well adapted to solve complex engineering problems with many constraints. This position paper introduces a MBSE based Digital Twin engineering framework foundation, applied to an manufacturing system.","url":"https://doi.org/10.1016/j.ifacol.2024.09.126","authors":["Clarissa Gregory","Rindra Mbolamananamalala","Souad Rabah","Vincent Chapurlat"],"tags":["Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.ifacol.2024.09.126","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4401932230","name":"Bring digital twins back to Earth","source":"openalex","abstract":"Abstract We reflect on the development of digital twins of the Earth, which we associate with a reductionist view of nature as a machine. The projects of digital twins deviate from contemporary scientific paradigms in the treatment of complexity and uncertainty, and does not engage with critical and interpretative social sciences. We contest the utility of digital twins for addressing climate change issues and discuss societal risks associated with the concept, including the twins' potential to reinforce economicism and governance by numbers, emphasizing concerns about democratic accountability. We propose a more balanced alternative, advocating for independent institutions to develop diverse models, prioritize communication with simple heuristic‐based models, collect comprehensive data from various sources, including traditional knowledge, and shift focus away from physics‐centered variables to inform climate action. We argue that the advancement of digital twins should hinge on stringent controls, favoring a nuanced, interdisciplinary, and democratic approach that prioritizes societal well‐being over blind pursuit of computational sophistication. This article is categorized under: Climate Models and Modeling > Earth System Models Climate Models and Modeling > Knowledge Generation with Models Climate, History, Society, Culture > Disciplinary Perspectives","url":"https://doi.org/10.1002/wcc.915","authors":["Andrea Saltelli","Gerd Gigerenzer","Mike Hulme","Konstantinos V. Katsikopoulos","Lieke Melsen","Glen P. Peters","Roger A. Pielke","Simon Robertson","Andy Stirling","Massimo Tavoni","Arnald Puy"],"tags":["Earth system science","Sophistication","Operationalization","Climate change","Transhumanism"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-26","doi":"https://doi.org/10.1002/wcc.915","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4379184180","name":"A Component Level Digital Twin Model for Power Converter Health Monitoring","source":"openalex","abstract":"The proliferation of Power Electronic Converters (PECs) has had a pervasive affect in a variety of industries including the power generation, automotive and aerospace sectors, where their use brings reliability to the forefront, especially in applications where safety critical and harsh environments are experienced. Continuous improvements in the power density and efficiency through extensive research into new semiconductor technologies, passive components, circuit topologies and control methodologies has seen the performance of PECs improve indubitably. However, the manifestation of stresses occurring from significant heating due to high currents and switching frequencies; which over time can cause degradation in the performance of PEC components is still a real concern. This paper outlines a methodology for monitoring the degradation of PECs over the operational lifetime by utilizing a component level, physics based Digital Twin (DT). As well as providing a methodology for the real time comparison of parameters to realize the onset of faults subjected to operational stresses, the DT also provides a novel method of training a classifier by simulating the faults within the PEC, a process that in reality, would be difficult to achieve from a physical device. Feature extraction is via Wavelet Scattering and classification is provided using a Support Vector Machine (SVM) approach. The overall approach is one that is novel and expandable to a wide range of PEC topologies and will be beneficial to the optimization and maintenance of PECs in a variety of platforms.","url":"https://doi.org/10.1109/access.2023.3243432","authors":["Andrew Wileman","Sohaib Aslam","Suresh Perinpanayagam"],"tags":["Network topology","Converters","Computer science","Aerospace","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3243432","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3187999777","name":"Corporate Strategy and the Theory of the Firm in the Digital Age","source":"openalex","abstract":"Abstract The purpose of this article is to reinvigorate research in the intersection of corporate strategy and the theory of the firm in light of the rapid advancement of digital technologies. Using the theory of the firm as an interpretive lens, we focus our analysis on the implications of the emerging digital age for three broad domains of corporate strategy: (1) corporate (competitive) advantage, (2) firm scale, scope, and boundaries, and (3) internal structure and design. Recognizing that digitalization exacerbates ambiguity and paradoxes, we sketch foundational strategies for future research. We suggest that there is a need to develop knowledge that accounts for the new realities of the digital age, depending on whether the corporate strategy phenomena under investigation and the theories of the firm used to explain them, are existing or new. The article serves also as introduction to the Journal of Management Studies Special Issue on the topic.","url":"https://doi.org/10.1111/joms.12760","authors":["Markus Menz","Sven Kunisch","Julian Birkinshaw","David J. Collis","Nicolai J. Foss","Robert E. Hoskisson","John E. Prescott"],"tags":["Business","Industrial organization","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-08","doi":"https://doi.org/10.1111/joms.12760","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4379388142","name":"Offline digital twin for simulation and assessment of product surface quality","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-023-11662-0","authors":["Yassmin Seid Ahmed","Hoda ElMaraghy"],"tags":["Machining","Surface roughness","Quality (philosophy)","Surface (topology)","Surface finish"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-05","doi":"https://doi.org/10.1007/s00170-023-11662-0","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7125648211","name":"Automated extraction of comprehensive digital twin models for smart manufacturing systems","source":"openalex","abstract":"Manufacturing systems involve multiple, often conflicting, objectives referred to as performance indicators, including production efficiency, resource utilization, energy consumption, carbon emissions, and waste reduction, which correspond to different dimensions of the system, such as time, energy consumption, and waste generation aspects. Digital Twins have emerged as a powerful tool, integrating data-driven simulation and analysis of complex systems, such as manufacturing systems. Process Mining (PM), along with data analysis, enables the automatic discovery of executable discrete-event simulation models directly from production event logs. These data-driven models are the key to enabling near-real-time Digital Twins of discrete-event systems. Stochastic Petri Nets (SPNs) offer a robust and intuitive modeling formalism well-suited for representing the extracted models derived from PM, particularly in the context of manufacturing systems. However, standard SPNs face challenges in incorporating dimensions beyond time, such as energy consumption and waste generation. This limitation often results in suboptimal decision-making and reduced system efficiency. In this paper, we propose a Comprehensive Digital Twin (CDT) framework that employs Multi-Flow Process Mining (MFPM) to automatically extract Multidimensional Stochastic Petri Nets (MDSPNs) as underlying models of manufacturing systems. To support the modeling and simulation of extracted MDSPNs, we introduce and utilize our tool, MDPySPN. The CDT framework supports multi-objective decision-making for various performance indicators of the system. Through an illustrative case study of hot forging process chains, we showcase the development of CDT for time, energy consumption, and waste generation dimensions. We further illustrate the utilization of CDT to analyze and support decision-making to enhance the case study system according to its objectives. • Multi-flow Process Mining (MFPM) automatically extracts Multidimensional Stochastic Petri Nets (MDSPNs). • MDSPNs can serve as core simulation models for Comprehensive Digital Twins (CDTs) of manufacturing systems. • MDSPNs capture systems’ behavior in different dimensions, such as time, energy, and waste, in a coherent model. • CDTs enable data-driven simulation and multi-objective decision support in manufacturing systems. • A hot forging case study demonstrates efficiency and sustainability gains using CDTs. • MDPySPN enables CDT simulation and supports multi-objective optimization and decision support.","url":"https://doi.org/10.1016/j.jmsy.2026.01.012","authors":["Atieh Khodadadi","Sanja Lazarova-Molnar"],"tags":["Petri net","Executable","Computer science","Industrial engineering","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.1016/j.jmsy.2026.01.012","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4392412542","name":"Sustainable Manufacturing: Digital Twinning for a Mechanical Assembly Production Line","source":"openalex","abstract":"There has been a rise in interest in the concept of the digital twin (DT) in both academia and industry in smart cities. The DT's implementation architecture generally consists of physical, virtual, and information-processing layers for a system. There are several theoretical frameworks presented and documented for DT implementation in the context of the manufacturing industry, but there is a lack of actual implementation studies published in the literature. The primary objective of this article is to show that a production unit that specialises in making manually assembled mechanical products can successfully adopt DT in practise. Tecnomatix Plant Simulation (P-sim) software was used to develop a simulation DT model. The DT then used for bottleneck identification to improve the efficiency of the production line. The DT proved to be a promising and evolving real-time optimisation tool for sustainable manufacturing.","url":"https://doi.org/10.1109/swc57546.2023.10449295","authors":["Ali Abdelhafeez Hassan","Geetika Aggarwal"],"tags":["Crystal twinning","Production (economics)","Assembly line","Production line","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-28","doi":"https://doi.org/10.1109/swc57546.2023.10449295","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4312139153","name":"Digital Twin in Sport: From an Idea to Realization","source":"openalex","abstract":"A digital twin is a virtual model to reflect a physical object and helps it by making proper decisions. The decision-making process is based on the same input data that the simulated physical object has access to. Due to exploiting artificial intelligence, the decision-making process of the digital twin is more sophisticated than that of the physical object. In this study, the digital twin is applied to the sports training domain, where it addresses those questions that have arisen during the implementation of interval cycling training sessions. Thus, the digital twin runs on a mobile device (i.e., the Raspberry Pi platform), with which a cycle is equipped and demonstrates user-friendliness, robustness, reliability, and accuracy. The interval training sessions are transferred to the mobile device in the form of the domain-specific language EasyTrain, ensuring higher expressive power and ease of use. During the implementation, the digital twin advises the athlete with predicted information obtained by a sophisticated prediction model via a screen. The results of a huge experimental work showed that the difference in the average efficiency of the interval training implementation between the two cyclists that performed the experiments is prominent, as the efficiency of the professional training surpassed 90%, while the amateur training efficiency barely achieved 70%.","url":"https://doi.org/10.3390/app122412741","authors":["Luka Lukač","Iztok Fister","Iztok Fister"],"tags":["Computer science","Amateur","Multimedia","Object (grammar)","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-12","doi":"https://doi.org/10.3390/app122412741","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7133198036","name":"Digital Twin-Driven Lean Manufacturing: Optimizing Value Stream Flow","source":"openalex","abstract":"This research investigates the integration of Digital Twin (DT) technology within Lean Manufacturing frameworks to optimize value stream flow, minimize waste, and enhance real-time decision-making capabilities. By synthesizing foundational concepts of Lean Manufacturing and DT, the paper examines the layered DT architecture, covering the physical, virtual, and communication interfaces, alongside Lean tools like Kaizen, Kanban, and Just-in-Time (JIT) that facilitate continuous process improvement. Case studies, particularly in the automotive sector, demonstrate DT's ability to increase production efficiency through predictive maintenance and simulation-based scenario planning, supporting Lean's waste reduction objectives. However, the paper identifies key implementation challenges, including legacy system integration, workforce adaptation, and data interoperability. Additionally, cybersecurity and data integrity concerns are analysed to highlight essential protocols for safe DT deployment. Future research directions propose advancements like AI-powered DTs, blockchain for enhanced traceability, and edge computing for low-latency applications. Key insights from industry case studies underscore the transformative impact of DTs on production efficiency, organizational resilience, and sustainable manufacturing outcomes, positioning Digital Twin technology as a cornerstone for next-generation lean manufacturing systems","url":"https://doi.org/10.17977/um010v8i12025p1-13","authors":["Charles Nwamekwe","Ewuzie Nnamdi Vitalis","Igbokwe Nkemakonam Chidiebube","Emeka Celestine Nwabunwanne","Chukwuma Godfrey Ono"],"tags":["Value stream mapping","Lean manufacturing","Manufacturing engineering","Process management","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.17977/um010v8i12025p1-13","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4283270414","name":"Digital twin rehabilitation system based on self-balancing lower limb exoskeleton","source":"openalex","abstract":"BACKGROUND: The digital twin concept is the virtual model based on entity design measures, which is used in many enterprises' virtual workshop design models for workshop production scheduling and optimization. However, in the field of medical rehabilitation, the integration of digital twin technology started late compared to traditional industrial manufacturing. Many current digital models are not well suited for information interaction between patients and devices. OBJECTIVE: In order to address the lack of interaction between patients and devices in the field of medical rehabilitation, this paper proposes an automatic gait data control system (AGDCS) for fully actuated lower limb exoskeleton digital twinning. This system improves the integration of digital twinning system with the medical rehabilitation field and analyzes the patient's gait data through simulation experiments. METHODS: The digital twin system was designed in several steps. Firstly, the upper computer function module was designed and developed according to the rehabilitation treatment needs. After that, the combination of exoskeleton robot and software was carried out, and finally the real rehabilitation treatment environment of patients was simulated through experiments. RESULTS: The proposed system was very reliable in the experimental tests of the host computer and exoskeleton robot. In the upper computer test, the patient specific gait can be generated, and the motion of the exoskeleton robot can be observed in real-time. During the walking test of the exoskeleton robot, the exoskeleton robot completed the specified gait. The result verified the superiority and effectiveness of the digital twin system AGDCS in the field of rehabilitation. CONCLUSIONS: The digital twin system proposed in this paper improves the interaction between self-balancing exoskeleton robot and patients, and improves the autonomy and safety of patients in rehabilitation treatment.","url":"https://doi.org/10.3233/thc-220087","authors":["Wanxiang Wang","Yong He","Feng Li","Jinke Li","Jingshuai Liu","Xinyu Wu"],"tags":["Exoskeleton","Rehabilitation","Robot","Computer science","Gait"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-21","doi":"https://doi.org/10.3233/thc-220087","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4313626693","name":"Material twins generation of woven polymer composites based on ResL-U-Net convolutional neural networks","source":"openalex","abstract":"Using digital material twins reveals the fabric architectures of woven composites and details the morphological features of fiber tows and defects, which makes a unique approach to accessing the mechanical performance of woven composites, especially the damage and failure behaviors. However, the current major challenges are accurately and efficiently segmenting low-contrast digital images, such as μCT images or MRI images, and reconstructing 3D braided structures. In this paper, a ResL-U-Net convolutional neural network is proposed, in which we use the leaky-ReLU activation function to improve efficiency. We use the residual structure to prevent network degradation and obtain excellent robustness and accuracy. The initial manufacturing defects are implanted into the finite element model by three-dimensional spatial mapping, which ensures the authenticity of defects on the one hand and high-quality mesh on the other. The damage evolution and fracture features of the GFRP material are investigated based on digital material twins; simultaneously, an in-situ CT tensile experiment is tailored to verify the simulations. It is shown that the simulations by the material twins demonstrated the mechanical performances of the GFRP very well, especially on the damage locations and material failure patterns.","url":"https://doi.org/10.1016/j.compstruct.2023.116672","authors":["Yingying Song","Zhaoliang Qu","Haitao Liao","Shigang Ai"],"tags":["Materials science","Convolutional neural network","Robustness (evolution)","Composite material","Ultimate tensile strength"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-06","doi":"https://doi.org/10.1016/j.compstruct.2023.116672","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3210298331","name":"Digital twin of spacecraft assembly cell and case study","source":"openalex","abstract":"As the complexity of spacecraft function has increased, the requirements for assembly quality and reliability have become more stringent. The current digital assembly simulation stays in the idealized structure and method verification, however, the spacecraft assembly process relies on manual and discrete operations, making it challenging for real time assembly quality tracing and process clarification. This paper takes the spacecraft assembly process as the research object, studies the real-time data acquisition method that fuses the acquisition node and the assembly process, and establishes the virtual-real mapping process around the central data space. A Digital twin system corresponding to the actual spacecraft assembly process was constructed based on the spacecraft assembly cell unit. The states of the manufacturing process in the physical world are fed back to the virtual space. The problems faced during assembly are reflected in real-time, and the corresponding behaviour is simulated. Based on the real-time data acquisition, real-time monitoring and numerical analysis for comparison are realized, providing a feasible solution for the application of Digital twin in the spacecraft assembly scenario.","url":"https://doi.org/10.1080/0951192x.2021.1992657","authors":["Wenqiang Yang","Yu Zheng","Shaoyang Li"],"tags":["Spacecraft","Process (computing)","Node (physics)","Reliability (semiconductor)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-26","doi":"https://doi.org/10.1080/0951192x.2021.1992657","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W3064461330","name":"Quality control mode of intelligent assembly workshop based on digital twin","source":"openalex","abstract":"Abstract Intelligent assembly workshop technology based on digital twin is a potential way to realize intelligent manufacturing. Aiming at the complex assembly process and low assembly quality in the complex product assembly workshop, the research on the quality control mode of intelligent assembly workshop based on digital twin was carried out. On the basis of real-time collect of resource location information, assembly process information and assembly quality information by using the quality control mode, the Markov method and Manhattan distance algorithm were used to realize assembly process and quality control in assembly workshop. Finally, taking an aircraft wing assembly workshop as an example, the prototype control system of intelligent assembly workshop is applied and verified to provide a technical approach for improving assembly quality and realizing assembly workshop real-time and dynamic control.","url":"https://doi.org/10.1088/1742-6596/1605/1/012036","authors":["Binbin Hao","M Y Wang","Songian Fu","Danya Xu","J X Wang"],"tags":["Quality (philosophy)","Process (computing)","Control (management)","Computer science","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-01","doi":"https://doi.org/10.1088/1742-6596/1605/1/012036","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4281551737","name":"Designing Human Digital Twins for Behaviour-Changing Therapy and Rehabilitation: A Systematic Review","source":"openalex","abstract":"Abstract One of the most promising trends in healthcare digitalisation is the personalisation and individualisation of therapy based on virtual representations of the human body through Human Digital Twins (HDTs). Despite the growing number of articles on HDTs, to-date no consensus on how to design such systems exists. A systematic literature review for designing HDTs used for behaviour-changing therapy and rehabilitation resulted in eight key design considerations across four themes: regulatory and ethical, transparency and trust, dynamism and flexibility, and behaviour and cognitive mechanisms.","url":"https://doi.org/10.1017/pds.2022.132","authors":["Martin W. Lauer-Schmaltz","Philip Cash","John Paulin Hansen","Anja Maier"],"tags":["Rehabilitation","Physical medicine and rehabilitation","Psychology","Physical therapy","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-01","doi":"https://doi.org/10.1017/pds.2022.132","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4317735653","name":"Digital Twin Applications in 3D Concrete Printing","source":"openalex","abstract":"The benefits of 3D concrete printing (3DCP) include reducing construction time and costs, providing design freedom, and being environmentally friendly. This technology is expected to be effective in addressing the global house shortage. This review highlights the main 3DCP applications and four critical challenges. It is proposed to combine 3D concrete printing with Digital Twin (DT) technology to meet the challenges the 3DCP faces and improve quality and sustainability. This paper provides a critical review of research into the application of DT technology in 3DCP, categorize the applications and directions proposed according to different lifecycles, and explore the possibility of incorporating them into existing 3DCP systems. A comprehensive roadmap was proposed to detail how DT can be used at different lifecycle stages to optimize and address the four main challenges of 3DCP, providing directions and ideas for further research.","url":"https://doi.org/10.3390/su15032124","authors":["Yuxin Wang","Farhad Aslani","Arcady Dyskin","Elena Pasternak"],"tags":["Economic shortage","Sustainability","Computer science","Quality (philosophy)","3D printing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-23","doi":"https://doi.org/10.3390/su15032124","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4415737254","name":"Barriers and Overcoming Strategies for Adopting Digital Twin in the Manufacturing Industry","source":"openalex","abstract":"This study investigates the main barriers and overcoming strategies for the implementation of digital twin (DT) technology in the manufacturing industry. The research, conducted in a two-step process, first employed a modified Delphi method with seasoned industry experts to identify and classify main barriers. Later, the best-worst method (BWM) ranked main barriers and mitigation strategies. The most critical challenges determined are the integration of legacy systems, high implementation cost, and data quality. Retrofitting hardware, rolling out cloud services, and edge computing were determined as the best solutions. The findings give real-world insights for organizations seeking to deploy DTs in a prioritized set of tasks and activities applicable to the manufacturing context.","url":"https://doi.org/10.1142/s0219686727500260","authors":["Stefano De Larmelina","ALESSANDRO LUCAS DA SILVA","LUCAS ANTONIO RISSO"],"tags":["Delphi method","Cloud computing","Retrofitting","Industry 4.0","Delphi"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-31","doi":"https://doi.org/10.1142/s0219686727500260","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4297405073","name":"Analysis of a closed-loop digital twin using discrete event simulation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-022-10176-5","authors":["Andrew Eyring","Nathan Hoyt","Joe Tenny","Reuben Domike","Yuri Hovanski"],"tags":["Factory (object-oriented programming)","Process (computing)","Event (particle physics)","Computer science","Closed loop"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-27","doi":"https://doi.org/10.1007/s00170-022-10176-5","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3167753375","name":"Product Lifecycle Information Management with Digital Twin: A Case Study","source":"openalex","abstract":"The use of new-generation information technologies in industry and manufacturing is increasing rapidly. However, although information about products is generated and consumed during their entire lifecycle, current research on Product Lifecycle Management (PLM) tends to focus mainly on the physical products themselves rather than on the related information. The Digital Twin (DT) concept aims to connect the physical world with the virtual one by making all the information about physical objects accessible from a single place, even though that information might be distributed over many information systems. This paper presents and analyses new Product Lifecycle Information Management (PLIM) with DT for managing the lifecycle of smart products in the IoT environment. A real-world use case that is a recently finished main building of the Aalto University campus is presented to demonstrate the proposed approach.","url":"https://doi.org/10.1109/indin45582.2020.9442208","authors":["Narges Yousefnezhad","Avleen Malhi","Tuomas Kinnunen","Matti Huotari","Karv Framling"],"tags":["Product lifecycle","Application lifecycle management","Product management","System lifecycle","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-20","doi":"https://doi.org/10.1109/indin45582.2020.9442208","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3196974417","name":"A Digital Twin-Based Approach for Optimization and Prediction of Oil and Gas Production","source":"openalex","abstract":"The Internet of things technology plays an important role in improving the efficiency of oil and gas production, of which digital twin technology is the most prominent. By effectively using data and organically combining them with a deep understanding of technicians, digital twin technology can improve the efficiency of oil and gas asset systems in the entire life cycle of an oilfield including design, operation control, optimization, etc. Starting with the concept of digital twinning, this paper analyzes the situation of digital twinning in various industries, then obtains the new connotation of digital twinning in oil and gas industry, and at last establishes an optimization model of oil and gas production. Based on the digital twinning of oil and gas and applying the Internet of things, real-time data, and AI, the paper optimizes the oil and gas production process control and applies it to the actual production. Actually, the digital twin technology of oil and gas production includes six parts: entity, model, data collection, intelligent algorithm, service, and interaction control. Meanwhile, each part is interspersed with various data perception and drive, and interactive feedback forms an organic iterative closed-loop control. Digital twin technology can effectively use data and organically combine the deep understanding of technical personnel, so that it can be used in design, operation control, optimization, and other aspects including the entire life cycle of the oilfield from concept to front-end design and out-of-service . And digital twin technology would improve the efficiency of oil and gas asset systems. The example analysis shows that the system efficiency of the oil and gas production model based on digital twinning is improved by 3%. By analyzing the production status, optimizing the design, and fully grasping the production capacity, equipment capacity, and their working conditions of the oil layer, the digital twin-based approach can provide a basis for further formulating reasonable technical measures and make the equipment work normally at high efficiency to ensure high output and efficient production of oil wells.","url":"https://doi.org/10.1155/2021/3062841","authors":["Fei Shen","Shuang Ren","Xiang Yang Zhang","Hong Luo","Chao Feng"],"tags":["Asset (computer security)","Production (economics)","Fossil fuel","Computer science","Connotation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-03","doi":"https://doi.org/10.1155/2021/3062841","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W2968008144","name":"Digital Twin for Monitoring of Industrial Multi-Effect Evaporation","source":"openalex","abstract":"Digital twins are rigorous mathematical models that can be used to represent the operation of real systems. This connection allows for deeper understanding of the actual states of the analyzed system through estimation of variables that are difficult to measure otherwise. In this context, the present manuscript describes the successful implementation of a digital twin to represent a four-stage multi-effect evaporation train from an industrial sugar-cane processing unit. Particularly, the complex phenomenological effects, including the coupling between thermodynamic and fluid dynamic effects, and the low level of instrumentation in the plant constitute major challenges for adequate process operation. For this reason, dynamic mass and energy balances were developed, implemented and validated with actual industrial data, in order to provide process information for decision-making in real time. For example, the digital twin was able to indicate failure of process sensors and to provide estimates for the affected variables in real time, improving the robustness of the operation and constituting an important tool for process monitoring.","url":"https://doi.org/10.3390/pr7080537","authors":["Rafael M. Soares","Maurício Melo Câmara","Thiago Feital","José Carlos Pinto"],"tags":["Robustness (evolution)","Computer science","Process (computing)","Industrial engineering","Process control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-15","doi":"https://doi.org/10.3390/pr7080537","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4405857297","name":"Automation in manufacturing and assembly of industrialised construction","source":"openalex","abstract":"The integration of automation technologies has improved the efficiency of industrialised construction (IC), yet a deeper understanding of their effects on the manufacturing and assembly stages remains necessary. This paper provides a systematic review of how various automation technologies influence these key stages in IC, analysing 53 articles. It explores the deployment of 22 technologies, including the Internet of Things (IoT), deep learning, digital twins, and robotics, and identifies seven benefits for IC: (1) interoperability, (2) scheduling optimisation, (3) production traceability, (4) production safety, (5) manufacturability, (6) quality assurance, and (7) constructability. To further advance automation in IC, future research should address critical challenges, including enhancing data quality, expanding empirical testing, exploring emerging technologies in depth, and integrating fragmented workflows. This article underscores the need of strategic technology deployment to seamlessly integrate various processes in future construction practices, offering insights into the transformative potential of automation. • Systematically synthesised 53 articles on automation in manufacturing and assembly of industrialised construction. • Identified the applications of automation technologies in manufacturing and assembly and the advantages they promote. • Industrialised construction automation faces challenges from data systems, technology deployment, and empirical testing. • Digital twins, virtual technologies, AI and robotics offer potential for seamless industrialised construction automation.","url":"https://doi.org/10.1016/j.autcon.2024.105945","authors":["Xu Li","Yang Zou","Yuqian Lu","Alice Chang‐Richards"],"tags":["Automation","Manufacturing engineering","Engineering","Computer science","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-28","doi":"https://doi.org/10.1016/j.autcon.2024.105945","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4214951935","name":"A Digital-Twin Methodology for the Non-destructive Certification of Lattice Structures","source":"openalex","abstract":"Abstract Additively manufactured (AM) lattice structures are applied in high-value applications such as lightweight aerospace design and biomedical implants. However, uncertainties of the geometry of as-manufactured AM lattice structures results in uncertainties in the associated mechanical response. This research proposes a non-destructive digital-twin certification methodology that quantifies the functional response of individual strut elements (and associated statistical distributions) from x-ray micro-computed tomography (µCT) data for as-manufactured AM lattice structures. This methodology may be algorithmically applied, as is required for the cost-effective certification of high-value lattice structures. The proposed methodology is demonstrated for a digital twin of over 2000 strut elements within a Ti-6AI-4V lattice fabricated with laser-based powder bed fusion. This digital twin allows various geometric or functional analyses to be performed, and in this case is demonstrated by acquiring statistical distributions of the predicted critical buckling load as a function of the strut element build orientation.","url":"https://doi.org/10.1007/s11837-021-05144-5","authors":["Abduladheem Almalki","David Downing","Bill Lozanovski","Rance Tino","Anton du Plessis","Ma Qian","Milan Brandt","Martin Leary"],"tags":["Lattice (music)","Certification","Aerospace","Materials science","Finite element method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-04","doi":"https://doi.org/10.1007/s11837-021-05144-5","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3081712408","name":"A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0","source":"openalex","abstract":"Abstract Digital manufacturing technologies have quickly become ubiquitous in the manufacturing industry. The transformation commonly referred to as the fourth industrial revolution, or Industry 4.0, has ushered in a wide range of communication technologies, connection mechanisms, and data analysis capabilities. These technologies provide powerful tools to create more lean, profitable, and data-driven manufacturing processes. This paper reviews modern communication technologies and connection architectures for Digital Manufacturing and Industry 4.0 applications. An introduction to cyber-physical systems and a review of digital manufacturing trends is followed by an overview of data acquisition methods for manufacturing processes. Numerous communication protocols are presented and discussed for connecting disparate machines and processes. Flexible data architectures are discussed, and examples of machine monitoring implementations are provided. Finally, select implementations of these communication protocols and architectures are surveyed with recommendations for future architecture implementations.","url":"https://doi.org/10.1115/1.4048206","authors":["Thomas R. Kurfess","Christopher Saldaña","Kyle Saleeby","Mahmoud Parto Dezfouli"],"tags":["Implementation","Computer science","Industry 4.0","Manufacturing","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-31","doi":"https://doi.org/10.1115/1.4048206","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4411342719","name":"Digital Twins to Support Smart Manufacturing System Design and Ramp up","source":"openalex","abstract":"Although there is a significant amount of research done on Digital Twin (DT) for Smart Manufacturing Systems, there is a lack of research focused on implementing DT in the design and ramp-up phases of companies. This research aims to explore possibilities for the effective implementation of DT in Smart Manufacturing Systems Design (SMSD) and ramp-up processes for Small and Medium-sized Enterprises (SMEs) and the findings may also be applicable to larger companies. Different case studies were conducted to gain insightful information on the actual implementation of digital twinning. During the initial case study, a DT prototype was developed on a DT software package to investigate the essential steps to create a successful DT. In the second case study, a DT Instance was developed. This study specifically investigated the application of DTs for virtual commissioning and connection to the IoT. The third case study examined the support among stakeholders. This research identified a manner for the successful implementation of digital twinning during smart manufacturing systems design and highlights the benefits that can be achieved by implementing DT during design processes.","url":"https://doi.org/10.1016/j.procir.2025.02.221","authors":["Marco van Ginkel","Poorya Ghafoorpoor Yazdi","Thijs Rupert","Johan Reijers","Sebastian Thiede"],"tags":["Manufacturing engineering","Smart manufacturing","Computer science","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.procir.2025.02.221","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4321596242","name":"Digital Twin for Active Stakeholder Participation in Land-Use Planning","source":"openalex","abstract":"The active participation of stakeholders is a crucial requirement for effective land-use planning (LUP). Involving stakeholders in LUP is a way of redistributing the decision-making power and ensuring social justice in land-management interventions. However, owing to the growing intricacy of sociopolitical and economic relations and the increasing number of competing claims on land, the choice of dynamic land use has become more complex, and the need to find balances between social, economic, and environmental claims and interests has become less urgent. These facts reflect a paradigm shift from top-down, noninteractive, and one-directional policymaking approaches to a more negotiable, bottom-up, deliberative, and responsible one. Geospatial industries claim that digital twin technology is a potential facilitator that improves the degree of stakeholder participation and influences land-use planning. The validity of this claim is, however, unknown. By adopting the integrative literature review, this study identifies where in LUP is stakeholder participation much needed and currently problematic, as well as how digital twin could potentially improve. The review shows that digital twins provide virtual visualisation opportunities for the identification of land-use problems and the assessment of the impacts of the proposed land uses. These offer the opportunity to improve stakeholder influence and collaboration in LUP, especially in the agenda-setting phase, where land-use issues could be identified and placed on the LUP agenda. This relies on the ability and willingness of local planning institutions to adopt digital twins, and stakeholders’ perception and willingness to use digital twins for various land-use goals. Despite the assertion that digital twins could improve the influence of stakeholders in LUP, the focus and the development of digital twins have not accomplished much for those features of the technology that could improve stakeholder influence in LUP. By adopting the principles of the social construction of technology, this study proposes a “technological fix” of digital twins to focus more on improving stakeholder influence on land-use planning.","url":"https://doi.org/10.3390/land12030538","authors":["David Adade","Walter Timo de Vries"],"tags":["Stakeholder","Facilitator","Land use","Business","Stakeholder analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-22","doi":"https://doi.org/10.3390/land12030538","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4311816554","name":"Digital Twin for Services (DT4S): Conceptual Strategy","source":"openalex","abstract":"While the Digital Twin is now well discussed in manufacturing, the research considering the Digital Twin of services engineering is still in its early stage. The Digital Twin is very focused on the manufacturing operations with gathering data from physical means and information technology. Yet, services are now features and core concerns of complex systems development. However, it is not much focused on services and above all workflow orchestration to deliver these services to user whether it is an internal operator, or a customer. The engineering of Digital Twin services is a complicated phase because of the complexity of interactions and heterogeneous nature of services. The simultaneous use of models and data (e.g., Model Based System Engineering (MBSE)) should be considered for service-oriented engineering projects of complex system (large system, heterogeneous components, autonomous, etc.). Based on this postulate, the contribution of this paper is about Digital Twin and MBSE for Servitization industry. In detail, the paper proposes a recall of information systems for enterprises, workflow and servitization. Then it draws some perspectives about the interest of Digital Twin approach based on models for product service systems. It discusses the relation between service twin and ground data and the link to decision level.","url":"https://doi.org/10.1016/j.ifacol.2022.10.136","authors":["Souad Rabah","Grégory Zacharewicz","Vincent Chapurlat"],"tags":["Orchestration","Workflow","Computer science","Service (business)","Information system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.10.136","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4385725011","name":"Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions","source":"openalex","abstract":"Supply chains operate in a highly distuptive environment where a SC master plan should be updated in line with disruptions to ensure that a high service level is provided to customers while total cost is minimised. There is an absence of knowledge of how a SC master plan should be updated to cope with disruptions using hybrid modelling. To fill this gap, we present a hybrid modelling framework to update a SC master plan in presence of disruptions. The proposed framework, which is a precursor to a SC digital twin, integrates simulation, machine learning, and optimisation to identify the production, storage, and distribution values that maximise SC service level while minimising total cost under disruptions. This approach proves effective in a SC disrupted by demand increase and lead time extension. Results show that employing hybrid modelling leads to a noticeable improvement in service level and total cost. The outcome of the new knowledge on using hybrid modelling for managing disruptions provides essential learning for the extension of modelling through a digital twin for SC master planning. We observe that in the presence of disruptions it is more economical to keep higher inventory at downstream SC members than the upstream SC members.","url":"https://doi.org/10.1080/00207543.2023.2244604","authors":["Ehsan Badakhshan","Peter Ball"],"tags":["Supply chain","Process management","Business","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-10","doi":"https://doi.org/10.1080/00207543.2023.2244604","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7125600747","name":"Modeling a Process Shop Floor Digital Twin in Smart Manufacturing: Best Practices From a Case Study","source":"openalex","abstract":"","url":"https://doi.org/10.1109/tem.2026.3657042","authors":["F. O. Buccoliero","Angelo Corallo","Anna Maria Crespino","Vito G. Del Vecchio","Marianna Lezzi","Alessandra Spennato"],"tags":["Best practice","Process (computing)","Computer science","Manufacturing engineering","Extreme programming practices"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/tem.2026.3657042","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3122827112","name":"Implementation of Digital Twins for electrical energy conversion systems in selected case studies","source":"openalex","abstract":"Reference implementation of Digital Twins for electrical energy conversion systems is an important and open question in the industrial domain. Digital Twins can predict the future performance, behaviour, and maintenance needs of a complex system. Today the concept of Digital Twins is not only an emulation or simulation of the physical object along with its development history but also contains much information from the respective manufacturers and services. This paper presents the current state-of-the-art of Digital Twins in relation to some interesting novel applications from different fields of electrical engineering. The objective of the paper is to give an overview of the successful application of Digital Twins in electrical energy conversion systems, such as industrial robotics and wind turbines; to discuss trends in applications like electric vehicles; and to suggest new applications, such as telescopes. Special attention is paid to the possible application of Digital Twins in faults diagnostics and prognostics of electrical energy conversion systems. Successful implementation of Digital Twins in any electrical energy conversion system diagnostics and prognostics allows for low-cost maintenance, higher utilization of the individual devices and systems, as well as lower usage of material and human resources. A SWOT analysis was performed for Digital Twin applications in electrical energy conversion systems. The latter is a useful analysis technique that explores possibilities for new achievements or solutions to existing problems and makes decisions about the best path.","url":"https://doi.org/10.3176/proc.2021.1.03","authors":["A Rassõlkin","Tamás Orosz","Galina Demidova","Vladimir Kuts","Viktor Rjabtšikov","Toomas Vaimann","Ants Kallaste"],"tags":["Automation","Revenue","Process (computing)","Investment (military)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-25","doi":"https://doi.org/10.3176/proc.2021.1.03","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4393124105","name":"How does digital transformation empower knowledge creation? Evidence from Chinese manufacturing enterprises","source":"openalex","abstract":"Knowledge creation is the foundation for indigenous innovation in manufacturing enterprises; however, the effects of digital transformation on knowledge creation are still not well understood. Nonaka put forward the model of knowledge creation, which includes four processes: socialization, externalization, combination, and internalization, known as the famous SECI model. Based on the SECI model, this study analyzes the effects of digital transformation on four knowledge creation processes, using panel data from Chinese listed manufacturing enterprises from 2007 to 2020. The study provides several novel findings. First, digital transformation positively affects all knowledge creation processes, with the effects on knowledge combination capability being particularly notable. Second, the effects of digitalization inputs on externalization and combination are insignificant but exert a negative impact on socialization and internalization. Third, a heterogeneity analysis reveals that the facilitating effect of digital transformation is more significant in state-owned and large enterprises. Moreover, it primarily acts as the \"cherry on top,\" significantly benefiting enterprises that already have strong knowledge creation capabilities. A low level of digital technology development in the region where an enterprise is located will inhibit the role of digital transformation in promoting knowledge socialization. Furthermore, enterprise innovation culture and regional innovation environments play positive moderating roles. This study contributes to further understanding of how digital transformation affects enterprises’ knowledge creation activities.","url":"https://doi.org/10.1016/j.jik.2024.100481","authors":["Yufen Chen","X. Pan","Pian Liu","Wim Vanhaverbeke"],"tags":["Digital transformation","Business","Transformation (genetics)","Knowledge management","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-23","doi":"https://doi.org/10.1016/j.jik.2024.100481","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4324290234","name":"Blockchain Meets Metaverse and Digital Asset Management: A Comprehensive Survey","source":"openalex","abstract":"Envisioned to be the next-generation Internet, the metaverse has been attracting enormous attention from both the academia and industry. The metaverse can be viewed as a 3D immersive virtual world, where people use Augmented/Virtual Reality (AR/VR) devices to access and interact with others through digital avatars. While early versions of the metaverse exist in several Massively Multiplayer Online (MMO) games, the full-flesh metaverse is expected to be more complex and enabled by various advanced technologies. Blockchain is one of the crucial technologies that could revolutionize the metaverse to become a decentralized and democratic virtual society with its own economic and governance system. Realizing the importance of blockchain for the metaverse, our goal in this paper is to provide a comprehensive survey that clarifies the role of blockchain in the metaverse including in-depth analysis of digital asset management. To this end, we discuss how blockchain can enable the metaverse from different perspectives, ranging from user applications to virtual services and the blockchain-enabled economic system. Furthermore, we describe how blockchain can shape the metaverse from the system perspective, including various solutions for the decentralized governance system and data management. The potential of blockchain for security and privacy aspects of the metaverse infrastructure is also figured out, while a full flow of blockchain-based digital asset management for the metaverse is investigated. Finally, we discuss a wide range of open challenges of the blockchain-empowered metaverse.","url":"https://doi.org/10.1109/access.2023.3257029","authors":["Vu Tuan Truong","Long Bao Le","Dusit Niyato"],"tags":["Metaverse","Computer science","Blockchain","Asset (computer security)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3257029","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3164067092","name":"Digital Transformation of Industrial Organizations: Toward an Integrated Framework","source":"openalex","abstract":"Industrial organizations are responding to new risks and opportunities originating from exponentially growing and disruptive digital technologies, by taking company-wide digital transformation initiatives. However, the key enablers of such digital transformation initiatives that facilitate operational performance outcomes in industrial organizations demand further investigation. Therefore, drawing on the sociotechnical system theory (STS), the objective of this study is to explore the digital transformation enablers and their impact on performance outcomes. Research data was collected from four leading industrial organizations that engaged in digital transformation programmes. Our results indicate that leadership, structures, and culture are the key enablers of digital transformation that help industrial organizations to achieve performance outcomes (i.e. collaboration, customer-centricity, and agility). By providing an empirically grounded integrated framework with future research propositions, this study contributes to the existing literature on digital transformation and sociotechnical system theory.MAD statementThis article aims to make a difference by exploring industrial digital transformation in order to identify the key enablers and performance outcomes. We highlight the need for alignment and joint optimization of social and technical systems to effectively capitalize on the digital transformation initiatives. Moreover, we call for urgent attention to the development of leaders, as well as the further identification of supportive digital transformation leadership competencies. Competent leaders assume a central role in correcting outdated and invalid assumptions, conceptualizing new ideas, and reinforcing cultural values. Furthermore, we elaborate the necessity of cultural transformation in industrial organizations for impactful digital transformation. Lastly, our findings confirm the significance of organizational structure in digital transformation and simultaneously warn that too little is happening.","url":"https://doi.org/10.1080/14697017.2021.1929406","authors":["Faisal Imran","Khuram Shahzad","Aurangzeab Butt","Jussi Kantola"],"tags":["Sociotechnical system","Digital transformation","Knowledge management","Transformation (genetics)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-20","doi":"https://doi.org/10.1080/14697017.2021.1929406","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W3217218705","name":"Development and Implementation of a Digital Manufacturing Demonstrator for Engineering Education","source":"openalex","abstract":"The fourth industrial revolution (Industry 4.0) offers enhanced processing efficiencies and reduced downtime, however there is a lack of manufacturing training equipment for those seeking practical training in the key underpinning digital technologies. This paper reports on the development of a digital manufacturing training demonstrator, called the PERFORM turbine demonstrator, which incorporates four aspects of Industry 4.0, that of the Internet of Things (IoT), Augmented Reality (AR), the digital twin and additive manufacturing (3D printing). The program involves the printing of a polymer turbine and its testing using a turbine demonstrator system. This incorporates the use of an Arduino microcontroller, and sensors to monitor the systems variable pump speed, turbine speed, temperature, and humidity. A cloud-based platform allows for data logging and passing to the AR application, visualization, and system control. The design and development of the system is presented, alongside the results of pilot training programme, which involved undergraduate engineering students and industry trainees, on the practical application of Industry 4.0. This paper demonstrated the effectiveness of the PERFORM demonstrator in successfully integrating different digital technologies in the same system.","url":"https://doi.org/10.1016/j.procir.2021.11.282","authors":["Shane Keaveney","Lydia Athanasopoulou","Vasilis Siatras","Panagiotis Stavropoulos","Dimitris Mourtzis","Denis P. Dowling"],"tags":["Manufacturing engineering","Engineering","Digital manufacturing","Microcontroller","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.282","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4385661598","name":"Human Digital Twin, the Development and Impact on Design","source":"openalex","abstract":"Abstract In the past decade, human digital twins (HDTs) attracted attention in both digital twin (DT) applications and beyond. In this paper, we discuss the concept and the development of HDTs, focusing on their architecture, key enabling technologies, and (potential) applications. Based on the literature, we identify personal data, model, and interface as three key modules in the proposed HDT architecture, supported by a data lake of human data and a model and interface library. Regarding the key enabling technologies that support the HDT functions, we envision that the internet of things (IoT) infrastructure, data security, wearables, human modeling, explainable artificial intelligence (AI), minimum viable sensing, and data visualization are closely associated with the development of HDTs. Finally, we investigate current applications of HDTs, with a particular emphasis on the opportunities that arise from leveraging HDTs in the field of personalized product design.","url":"https://doi.org/10.1115/1.4063132","authors":["Yu Song"],"tags":["Computer science","Key (lock)","Interface (matter)","Human–computer interaction","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-08","doi":"https://doi.org/10.1115/1.4063132","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W7125001568","name":"Leveraging Blockchain and Digital Twins for Low-Carbon, Circular Supply Chains: Evidence from the Moroccan Manufacturing Sector","source":"openalex","abstract":"As global supply chains face increasing pressure to reconcile economic efficiency, environmental responsibility, and ethical transparency, emerging digital technologies offer unprecedented opportunities for sustainable transformation. This article examines this dynamic in the context of the Moroccan industrial sector, with particular reference to blockchain and digital twin technologies. The study employs a rigorous mixed-methods design, combining an in-depth qualitative exploration with 30 industry professionals and a Partial Least Squares Structural Equation Modeling (PLS-SEM) model based on survey data from 125 Moroccan manufacturing firms. The findings highlight the synergistic contribution of blockchain and digital twins in enabling circular, low-carbon, and resilient supply chains. Blockchain adoption strengthens environmental impact traceability, data reliability, and responsible governance, while digital twin systems enhance eco-efficiency through real-time modeling and predictive flow simulation. Circular integration emerges as a critical enabler, significantly amplifying the positive effects of both technologies by aligning physical and informational flows within closed-loop processes. With its strong empirical grounding and contextual relevance to an emerging economy, this research provides actionable insights for policymakers, industrial managers, and supply chain practitioners committed to accelerating the sustainable transformation of production systems. It also offers a renewed understanding of how digitalization and circularity jointly support environmental performance within industrial ecosystems.","url":"https://doi.org/10.3390/su18020991","authors":["Soukaina Abdallah-Ou-Moussa","Martín Wynn","Zakaria Rouaine"],"tags":["Industry 4.0","Supply chain","Context (archaeology)","Sustainability","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-18","doi":"https://doi.org/10.3390/su18020991","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4399526143","name":"A Big Data Architecture for Digital Twin Creation of Railway Signals Based on Synthetic Data","source":"openalex","abstract":"Industry 5.0 has introduced new possibilities for defining key features of the factories of the future. This trend has transformed traditional industrial production by exploiting Digital Twin (DT) models as virtual representations of physical manufacturing assets. In the railway industry, Digital Twin models offer significant benefits by enabling anticipation of developments in rail systems and subsystems, providing insight into the future performance of physical assets, and allowing testing and prototyping solutions prior to implementation. This paper presents our approach for creating a Digital Twin model in the railway domain. We particularly emphasize the critical role of Big Data in supporting decision-making for railway companies and the importance of data in creating virtual representations of physical objects in railway systems. Our results show that the Digital Twin model of railway switch points, based on synthetic data, accurately represents the behavior of physical railway switches in terms of data points.","url":"https://doi.org/10.1109/ojits.2024.3412820","authors":["Giulio Salierno","Letizia Leonardi","Giacomo Cabri"],"tags":["Architecture","Big data","Computer science","Computer architecture","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/ojits.2024.3412820","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4391744199","name":"Navigating the Evolution of Digital Twins Research through Keyword Co-Occurence Network Analysis","source":"openalex","abstract":"Digital twin technology has become increasingly popular and has revolutionized data integration and system modeling across various industries, such as manufacturing, energy, and healthcare. This study aims to explore the evolving research landscape of digital twins using Keyword Co-occurrence Network (KCN) analysis. We analyze metadata from 9639 peer-reviewed articles published between 2000 and 2023. The results unfold in two parts. The first part examines trends and keyword interconnection over time, and the second part maps sensing technology keywords to six application areas. This study reveals that research on digital twins is rapidly diversifying, with focused themes such as predictive and decision-making functions. Additionally, there is an emphasis on real-time data and point cloud technologies. The advent of federated learning and edge computing also highlights a shift toward distributed computation, prioritizing data privacy. This study confirms that digital twins have evolved into complex systems that can conduct predictive operations through advanced sensing technologies. The discussion also identifies challenges in sensor selection and empirical knowledge integration.","url":"https://doi.org/10.3390/s24041202","authors":["Wei Li","Haozhou Zhou","Zhenyuan Lu","Sagar Kamarthi"],"tags":["Data science","Metadata","Computer science","Cloud computing","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-12","doi":"https://doi.org/10.3390/s24041202","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4406611864","name":"Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process","source":"openalex","abstract":"Biomanufacturing innovation relies on an efficient Design of Experiments (DoEs) to optimize processes and product quality. Traditional DoE methods, ignoring the underlying bioprocessing mechanisms, often suffer from a lack of interpretability and sample efficiency. This limitation motivates us to create a new optimal learning approach for digital twin model calibration. In this study, we consider the cell culture process multi-scale mechanistic model, also known as Biological System-of-Systems (Bio-SoS). This model with a modular design, composed of sub-models, allows us to integrate data across various production processes. To calibrate the Bio-SoS digital twin, we evaluate the mean squared error of model prediction and develop a computational approach to quantify the impact of parameter estimation error of individual sub-models on the prediction accuracy of digital twin, which can guide sample-efficient and interpretable DoEs.","url":"https://doi.org/10.1109/wsc63780.2024.10838898","authors":["Fuqiang Cheng","Wei Xie","Hua Zheng"],"tags":["Process (computing)","Calibration","Computer science","Process engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838898","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4403192765","name":"Digital Twin for Smart Production Management of Railway Vehicle Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4977854","authors":["Seyed Mohammad Mehdi Sajadieh","Hye Kyung Choi","Junwoo Lim","J. Choi","Swati Bula Patil","Sang Do Noh"],"tags":["Business","Production (economics)","Manufacturing engineering","Commerce","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.2139/ssrn.4977854","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4400130122","name":"The EU’s twin transitions towards sustainability and digital leadership: a coherent or fragmented policy field?","source":"openalex","abstract":"In order to achieve the goal of climate neutrality, while also enhancing Europe’s industrial competitiveness on the global stage, the acceleration of the twin – green and digital – transitions has been among the top priorities for the European Union (EU). Given the multiplicity of policy areas involved in these twin transitions as well as the nature of the EU as a multilevel organisation, coherence is the key requirement for the twin transitions to be successful. Drawing on the concept of coherence, this article explores whether the EU can be considered a coherent actor when pursuing the twin transitions. It understands coherence as a process to reduce contradictions across different policy domains rather than as a status where no contradictions exist. It also challenges previous views centred solely on coherence during policy implementation, and proposes a broader assessment that begins by framing different policy domains as mutually beneficial and aligned towards common goals. This perspective introduces two dimensions of coherence – conceptual and operational – along horizontal and vertical levels. By examining how policies are framed and interconnected across different levels of governance and policy agendas, this study reveals that while the link between the green and digital transitions and the need for coordination across different governance levels has been widely accepted, conceptual coherence varies across governance levels and policy areas. Furthermore, the study argues that operational coherence – putting ideas into practice – lags behind conceptual coherence, which highlights the challenges of implementing the twin transitions effectively.","url":"https://doi.org/10.1080/00343404.2024.2360053","authors":["Xinchuchu Gao"],"tags":["Field (mathematics)","Sustainability","Political science","Economic geography","Economic system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-28","doi":"https://doi.org/10.1080/00343404.2024.2360053","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4285047245","name":"Digital Twin Architecture for Mining Industry: Case Study of a Stacker Machine in an Experimental Open-Pit Mine","source":"openalex","abstract":"Digitalization in mining industry has become an important component nowadays in order to improve the productivity, the efficiency while increasing the availability of machines and different equipment The use of digital twin as a feature in mining industry has shown promising results to deal with its multiple challenges such as maintenance, production, energy consumption. In this paper, a comparative study is presented of developed digital twins in different applications such as energy management, manufacturing, industrial and campus, the goal is to design a conceptual architecture of a proposed digital twin within presenting a case study of a stacker machine in the experimental open pit mine of Benguerir. This design presented by 4 layers: physical, Data pre-processing, Edge computing, and cloud data, the goal is to work on interactions between these layers to enhance the performance of different mining machines. The case study elucidates a practical result on Stacker machine used in mining industry simulating the mechanism and the automatism of this system. This developed digital twin will be used to simulate critical scenarios and see the behavior of the stacker components in order to optimize the usage of this machine increasing its availability and reliability.","url":"https://doi.org/10.1109/gpecom55404.2022.9815618","authors":["Nabil El Bazi","Mustapha Mabrouki","Ahmed Chebak","FatimaEzzahrae Hammouch"],"tags":["Stacker","Computer science","Reliability (semiconductor)","Component (thermodynamics)","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-14","doi":"https://doi.org/10.1109/gpecom55404.2022.9815618","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4405010220","name":"A human digital twin approach for fatigue-aware task planning in human-robot collaborative assembly","source":"openalex","abstract":"• A novel real-time assessment method for physical fatigue in assembly workers. • A task planner for human-robot assembly task allocation based on fatigue awareness. • A multi-subject real assembly experiment for method validation. Human-robot collaboration (HRC) has emerged as a pivotal paradigm in manufacturing, integrating the strengths of both human and robot capabilities. Neglecting human physical fatigue may adversely affect worker health and, in extreme cases, may lead to musculoskeletal disorders. However, human fatigue has rarely been considered for decision-making in HRC manufacturing systems. Integrating adaptive decision-making to optimise human fatigue in HRC manufacturing systems is crucial. Nonetheless, real-time perception and estimation of human fatigue and decision-making informed by human fatigue face considerable challenges. To address these challenges, this paper introduces a human digital twin method, a bidirectional communication system for physical fatigue assessment and reduction in human-robot collaborative assembly tasks. The methodology encompasses an IK-BiLSTM-AM-based surrogate model, which consists of inverse kinematics analysis (IK), bidirectional long short-term memory (BiLSTM), and attention mechanism (AM), for real-time muscle force estimation integrated with a muscle force-fatigue model for muscle fatigue assessment. An And-Or graph and optimisation model-based HRC task planner is also developed to alleviate physical fatigue via task allocation. The efficacy of this approach has been validated through proof-of-concept assembly experiments involving multiple subjects. The results show that the IK-BiLSTM-AM model achieves a minimum of 8% greater accuracy in muscle force estimation than the baseline methods. The 12-subject assessment results indicate that the task planner effectively reduces the physical fatigue of workers while performing collaborative assembly tasks.","url":"https://doi.org/10.1016/j.cie.2024.110774","authors":["Yingchao You","Boliang Cai","Duc Truong Pham","Ying Liu","Ze Ji"],"tags":["Task (project management)","Human–robot interaction","Robot","Human–computer interaction","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-04","doi":"https://doi.org/10.1016/j.cie.2024.110774","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W1972406960","name":"Wolfgang-Amadeus: The University of Vienna Twin Automatic Photoelectric Telescope","source":"openalex","abstract":"We describe the University of Vienna twin automatic photoelectric telescope (APT) located at the new Fairborn Observatory at Washington Camp in southern Arizona. Not only are the telescopes fully automatic, also the observatory itself is automatic. A site-control computer monitors weather sensors and operates the roof while the telescope control computer operates the photometer and accepts input files from and provides nightly observations to the astronomer; no direct operating personnel is needed. Both telescopes have 0.75-m primary mirrors, a CCD finder camera, and an environmentally controlled single-channel photoelectric photometer with filter combinations optimized for use in the blue (Wolfgang) and in the red (Amadeus) wavelength for asteroseismology of non-radially pulsating variables, and for monitoring asymtotic-giant-branch stars. Some first results are presented.","url":"https://doi.org/10.1086/133934","authors":["K. G. Strassmeier","L. J. Boyd","D. Epand","Th. Granzer"],"tags":["Telescope","Photometer","Observatory","Physics","Asteroseismology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1997-06-01","doi":"https://doi.org/10.1086/133934","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4411433265","name":"Concept Drift in Smart Manufacturing: A Systematic Mapping on Digital Twin Applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-77723-3_8","authors":["Gabriel Rodrigues Brito","Ricardo Eiji Kondo","Eduardo de Freitas Rocha Loures","Eduardo Santos","Jerry Barbosa"],"tags":["Smart manufacturing","Computer science","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-77723-3_8","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"oa:W4210305549","name":"Research on Intelligent Dispatching System Management Platform for Construction Projects Based on Digital Twin and BIM Technology","source":"openalex","abstract":"Building Information Modeling (BIM) adoption along with the recent emergence of Internet of Things (IoT) applications provides many unique knowledge and decision‐making abilities all through the built environment’s life cycle. The ability to connect online sensors utilized in surroundings in real time has led to the definition of the Digital Twin (DT) of the Building Design. The goal of Digital Twins is to synchronize the physical world with a virtual platform for seamless management and control of the construction process, infrastructure solutions, environmental monitoring, and other life span processes within building design. Most of the researchers focused on either BIM or DT in the construction of building application. In this research work, a novel hybrid model of Digital Twin‐Building Information Modeling (DT‐BIM) is proposed. This model does the process of identifying the shortage of resources, analyzing requirement, performing decision, dispatching the resources, and updating all the process in the database with the support of Artificial Intelligence (AI). Hence, this hybrid model provides improved results when compared to the implementation of the individual technology to the same application. The study results revealed that these hybrid technologies help in assisting the dispatch systems in the construction projects to a greater extent.","url":"https://doi.org/10.1155/2022/8273451","authors":["Heng Sun","Zhe Liu"],"tags":["Construction engineering","Systems engineering","Computer science","Engineering management","Management system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1155/2022/8273451","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/978-981-97-0665-5_21","name":"Digital Twin Method for Real-Time Stress Prediction Based on Surrogate Model","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-0665-5_21","authors":["Jianchu Pan","Jian Yao","Hong Jiang","Huiling Yuan","Bingqiang Zhou","Weiping Nong","Lilan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-24T16:02:28Z","doi":"10.1007/978-981-97-0665-5_21","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1520/ssms20240006","name":"A Digital Twin for a Real-Time Hardened Case Prediction in Induction Hardening Applications","source":"crossref","abstract":"ABSTRACT Induction hardening is a heat treatment that has been increasingly employed in the industry in recent years. It is a complex, highly coupled, and multiphysical process involving electromagnetism, thermal, mechanical, and metallurgical physics. One of the main quality requirements of the process is the hardened case depth generated in the workpiece. The usual method to measure the hardened case and ensure the quality of the parts is to use destructive techniques, which generate material and energy waste and production inefficiencies. Additionally, selecting process parameters such as current, frequency, or scanning speed typically requires several trial-and-error iterations. The goal of this work is to provide a hybrid digital twin (DT) that acts as a nondestructive test technique, predicting the resulting hardened case in real-time and enabling the correction of process parameters during the induction hardening process, ultimately achieving a zero-waste manufacturing scheme. For this purpose, a DT based on an artificial neural network (ANN) model is developed, predicting the hardened case depth in real-time using four monitored input variables: induction frequency, current, and two temperature measurements on the surface of the hardened part. The required data for DT development and training are obtained using a finite element model. Several ANN architectures are evaluated, and the configuration with the best regression results is chosen for implementation in an industrial induction hardening machine. The hardened case predictions obtained from the developed DT demonstrate high accuracy within the analyzed frequency and current range.","url":"https://doi.org/10.1520/ssms20240006","authors":["Mario López-Lombardero","Unai Segurajauregi","Maialen Areitioaurtena","Iban Retolaza","Mario Javier Cabello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-02T22:12:21Z","doi":"10.1520/ssms20240006","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.3390/a16110524","name":"Utilizing Mixture Regression Models for Clustering Time-Series Energy Consumption of a Plastic Injection Molding Process","source":"crossref","abstract":"Considering the issue of energy consumption reduction in industrial plants, we investigated a clustering method for mining the time-series data related to energy consumption. The industrial case study considered in our work is one of the most energy-intensive processes in the plastics industry: the plastic injection molding process. Concerning the industrial setting, the energy consumption of the injection molding machine was monitored across multiple injection molding cycles. The collected data were then analyzed to establish patterns and trends in the energy consumption of the injection molding process. To this end, we considered mixtures of regression models given their flexibility in modeling heterogeneous time series and clustering time series in an unsupervised machine learning framework. Given the assumption of autocorrelated data and exogenous variables in the mixture model, we implemented an algorithm for model fitting that combined autocorrelated observations with spline and polynomial regressions. Our results demonstrate an accurate grouping of energy-consumption profiles, where each cluster is related to a specific production schedule. The clustering method also provides a unique profile of energy consumption for each cluster, depending on the production schedule and regression approach (i.e., spline and polynomial). According to these profiles, information related to the shape of energy consumption was identified, providing insights into reducing the electrical demand of the plant.","url":"https://doi.org/10.3390/a16110524","authors":["Massimo Pacella","Matteo Mangini","Gabriele Papadia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-15T10:57:46Z","doi":"10.3390/a16110524","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/s00170-026-17486-y","name":"Composite potential field control for human-robot collaborative assembly robotic arm based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-17486-y","authors":["Zhengjie Yang","Liping Ma","Hongjuan Yan","Huayu Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-27T18:56:30Z","doi":"10.1007/s00170-026-17486-y","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/978-3-031-51071-7_19","name":"Smart Manufacturing, Not Manufacturing with Smartness","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_19","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_19","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1201/9781003425724-51","name":"Digital Twin–Driven Damage Diagnosis and Prognosis of Complex Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-51","authors":["Xuan Zhou","Leiting Dong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-51","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/978-0-85729-564-4_7","name":"Management of Technology in Digital Manufacturing Science","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-0-85729-564-4_7","authors":["Zude Zhou","Shane Xie","Dejun Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2011-10-21T02:10:13Z","doi":"10.1007/978-0-85729-564-4_7","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.48175/ijarsct-25601","name":"Design and Development of Digital Twin of Single Cell Manufacturing Unit using Delmia","source":"crossref","abstract":"The rising demand for smart manufacturing has accelerated the adoption of Digital Twin (DT) technology, enabling real-time monitoring, simulation, and process optimization in industrial settings. This research focuses on developing a Digital Twin model for a Single Cell Manufacturing Unit (SCMU) using DELMIA, a widely recognized digital manufacturing platform. The proposed virtual model accurately represents the manufacturing cell, analyzing key factors such as cycle time, workstation utilization, material flow, and energy consumption. Through iterative simulations and data-driven optimization, the Digital Twin framework enhances decision-making, reduces inefficiencies, and improves overall productivity. The research methodology involves creating a 2D layout, transforming it into a 3D model, and conducting process simulations within DELMIA to assess different configurations. A comparative analysis of multiple iterations helps determine the most efficient and operational-effective manufacturing setup. This study underscores the importance of Digital Twin technology in enhancing single-cell manufacturing processes, lowering operational constraints, and fostering data-driven, intelligent production systems in alignment with Industry 5.0 principles.","url":"https://doi.org/10.48175/ijarsct-25601","authors":["Dr A.R Arvind","Mr. M. Kamala Kannan","Dr. S. Saravanan","Avinash S M","Ajay Srikanth G","Gurunathraj E"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-24T16:56:28Z","doi":"10.48175/ijarsct-25601","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.63282/3050-9416.ijaibdcms-v3i1p117","name":"Predictive Maintenance in Smart Manufacturing: A Review of Machine Learning and Digital Twin Approaches","source":"crossref","abstract":"Predictive maintenance has emerged as a new method to smart manufacturing, allowing firms to forsake reactive and preventative approaches to equipment management based on data analysis. The current study conducts a thorough analysis of digital twin and ML technologies, which jointly aid in the prediction of remaining useful life, defect identification, and anomaly detection in a variety of industrial contexts. Machine learning techniques are scalable, adaptable in nature, and digital twins enable the building of synchronized virtual models that represent the behavior of the physical assets continually delivering real-time information about the deterioration trends, and available systems behavior. Integration of these technologies will facilitate better reliability, less downtime and better use of resources. Nonetheless, literature shows that there are several difficulties such as the inconsistency of sensor data, constraints of the heterogeneous systems interoperability, and issues of model interpretability and industrial implementation. The review notes a necessity of more integrative frameworks that would combine multi-source industrial information with dynamic and continuously learning models. By combining the current advancements, limitations, and implementation gaps, this study will provide a thorough understanding of how predictive maintenance is evolving in smart manufacturing. It also recognizes new opportunities of more autonomous, intelligent, and resilient maintenance ecosystems that can sustain future Industry 4.0 and Industry 5.0 ecosystems.","url":"https://doi.org/10.63282/3050-9416.ijaibdcms-v3i1p117","authors":["Sri Harsha Panchali","Usha Mohani kavirayani","Krishna Bhardwaj Mylavarapu","Jenitha Pilli","Prathik Kumar Jannu","Javed Ali Mohammad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-28T05:46:33Z","doi":"10.63282/3050-9416.ijaibdcms-v3i1p117","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.4018/979-8-3693-1734-1.ch009","name":"Exploring the Integration of the Metaverse for Enhanced Digital Twin Modelling in Manufacturing","source":"crossref","abstract":"The manufacturing industry has adopted the innovative technology of digital twins. Different varieties of digital twins can be distinguished based on the connectivity and statistics flow between the actual item and its digital replica. This study seeks to provide an overview of the key characteristics of this innovative know-how and the newly developed technologies that have resulted from the manufacturing industry's digital transformation. The digital alteration of the commercial sector has created new application opportunities for digital twin expertise. In addition, external statistics sources such as social networking can be leveraged to design and as a part of a company's digital alteration strategy, create digital twins. The expansion of business digital alteration, including solutions based on artificial intelligence, has expanded the applicability of digital twin technology. This study examines these innovative applications and provides industrial examples to support its claims.","url":"https://doi.org/10.4018/979-8-3693-1734-1.ch009","authors":["Mankaj Mehta","Gaurav Gupta","Rajan Goyal","Devesh Bathla","Ruhi Sarangal","Aarti Dangwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-05T10:13:02Z","doi":"10.4018/979-8-3693-1734-1.ch009","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1051/shsconf/202112904003","name":"Sustainable Industry 4.0 Wireless Networks, Machine Learning Algorithms, and Internet of Things-based Real-Time Production Logistics in Digital Twin-driven Smart Manufacturing","source":"crossref","abstract":"Research background: The aim of this paper is to synthesize and analyze existing evidence on artificial intelligence-based decision-making algorithms, industrial big data, and Internet of Things sensing networks in digital twin-driven smart manufacturing. Purpose of the article: Using and replicating data from Altair, Catapult, Deloitte, DHL, GAVS, PwC, and ZDNet we performed analyses and made estimates regarding cyber-physical system-based real-time monitoring, product decision-making information systems, and artificial intelligence data-driven Internet of Things systems in digital twin-based cyber-physical production systems. Methods: From the completed surveys, we calculated descriptive statistics of compiled data when appropriate. The data was weighted in a multistep process that accounts for multiple stages of sampling and nonresponse that occur at different points in the survey process. The precision of the online polls was measured using a Bayesian credibility interval. To ensure high-quality data, data quality checks were performed to identify any respondents showing clear patterns of satisficing. Test data was populated and analyzed in SPSS to ensure the logic and randomizations were working as intended before launching the survey. An Internet-based survey software program was utilized for the delivery and collection of responses. The sample weighting was accomplished using an iterative proportional fitting process that simultaneously balanced the distributions of all variables. The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau’s American Community Survey to reflect reliably and accurately the demographic composition of the United States. Confirmatory factor analysis was employed to test for the reliability and validity of measurement instruments. Findings &amp; Value added : The way Internet of Things-based decision support systems, artificial intelligence-driven big data analytics, and robotic wireless sensor networks configure digital twin-driven smart manufacturing and cyber-physical production systems in sustainable Industry 4.0.","url":"https://doi.org/10.1051/shsconf/202112904003","authors":["Elvira Nica","Gheorghe H. Popescu","George Lăzăroiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-16T10:17:53Z","doi":"10.1051/shsconf/202112904003","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1007/s00170-026-18887-9","name":"Digital twin-enabled process simulation and thermal-state prediction for continuous carbon fiber-reinforced nylon fused filament fabrication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-18887-9","authors":["Linjie Kan","Yuxuan He","Jian Mao","Man Zhao","Gang Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-10T01:02:18Z","doi":"10.1007/s00170-026-18887-9","addedAt":"2026-09-01T01:47:42.180Z","updatedAt":"2026-09-01T01:47:42.180Z"},{"id":"doi:10.1002/9781394365371.ch18","name":"Factories of the Future","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394365371.ch18","authors":["Rasu Karunanithi","Mohammed Abdur Rahman","Gopal Rajesh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:41:32Z","doi":"10.1002/9781394365371.ch18","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.33737/gpps20-tc-35","name":"The Required Aerodynamic Simulation Fidelity to Usefully Support a Gas Turbine Digital Twin for Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.33737/gpps20-tc-35","authors":["Wen Yao Lee","William N Dawes","John D Coull"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-09-24T15:04:37Z","doi":"10.33737/gpps20-tc-35","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.polymer.2026.129915","name":"Digital twin based thermo-mechanical durability prediction of scaled specimens of non-pneumatic tires fabricated via subtractive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.polymer.2026.129915","authors":["Bochao Gu","Yao Ning","Jun Liu","Bo Lu","Yonglai Lu","Fanzhu Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-26T16:35:27Z","doi":"10.1016/j.polymer.2026.129915","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.procir.2025.02.246","name":"Digital Twin-controlled Modular and Reconfigurable Manufacturing System for Flexible Human-Machine Collaboration in Assembly","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2025.02.246","authors":["Jasper Wilhelm","Nils H. Hoppe","Michael Freitag"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T11:50:33Z","doi":"10.1016/j.procir.2025.02.246","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-031-42592-9_12","name":"Analysing Interoperability in Digital Twin Software Architectures for Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-42592-9_12","authors":["Enxhi Ferko","Alessio Bucaioni","Patrizio Pelliccione","Moris Behnam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-07T23:04:03Z","doi":"10.1007/978-3-031-42592-9_12","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1109/ice/itmc61926.2024.10794355","name":"Modular Platform Business Model to Unleash Manufacturing Small and Medium Enterprises' Potential by Democratizing and Fastening Digital Twin Based Solutions Development","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ice/itmc61926.2024.10794355","authors":["Evelina Marra","Deborah Leone","Michele Liberati","Luca Canetta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-18T19:25:41Z","doi":"10.1109/ice/itmc61926.2024.10794355","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s00170-026-18354-5","name":"AI-driven digital twin for predictive maintenance in industrial cyber-physical systems: industrial control system case study","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-18354-5","authors":["Mustafa Siddiqui","Gayan Kahandawa","Emanuele Principi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-25T01:51:50Z","doi":"10.1007/s00170-026-18354-5","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/b978-0-443-13812-6.00010-5","name":"3D digital factories: Manufacturing centers of the new industrial age","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-13812-6.00010-5","authors":["Michael J. Regan","Chandrakant D. Patel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-21T07:30:42Z","doi":"10.1016/b978-0-443-13812-6.00010-5","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.3390/math13060981","name":"Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems","source":"crossref","abstract":"In Industry 4.0, predictive maintenance (PdM) is key to optimising production processes. While its popularity among companies grows, most studies highlight theoretical benefits, with few providing empirical evidence on its economic impact. This study aims to fill this gap by quantifying the economic performance of manufacturing companies in the Visegrad Group countries through PdM algorithms. The purpose of our research is to assess whether these companies generate higher operational profits and lower sales costs. Using descriptive statistics, non-parametric tests, the Hodges–Lehmann median difference estimate, and linear regression, the authors analysed data of 1094 enterprises. Results show that PdM significantly improves economic performance, with variations based on geographic scope. Regression analysis confirmed PdM as an essential predictor of performance, even after considering factors like company size, legal structure, and geographic scope. Enterprises with more effective cost management and lower net sales were more likely to adopt PdM, as revealed by decision tree analysis. Our findings provide empirical evidence of the economic benefits of PdM algorithms and highlight their potential to enhance competitiveness, offering a valuable foundation for business managers to make informed investment decisions and encouraging further research in other industries.","url":"https://doi.org/10.3390/math13060981","authors":["Marek Nagy","Marcel Figura","Katarina Valaskova","George Lăzăroiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-17T15:24:56Z","doi":"10.3390/math13060981","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.ijpe.2026.110205","name":"A Supply Chain Digital Twin for Adaptive Master Planning under Multi-Source Disruptions: Evidence from a Dual-Channel Manufacturing Case","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijpe.2026.110205","authors":["Ali Rouzkhosh","S. Ali Torabi","Ali Beiki Ashkezari","Amir Ghasemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T15:32:25Z","doi":"10.1016/j.ijpe.2026.110205","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.procir.2022.05.052","name":"Using the Process Digital Twin as a tool for companies to evaluate the Return on Investment of manufacturing automation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2022.05.052","authors":["Chiara Caccamo","Paolo Pedrazzoli","Ragnhild Eleftheriadis","Maria Chiara Magnanini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-26T14:24:15Z","doi":"10.1016/j.procir.2022.05.052","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s00170-023-12885-x","name":"Knowledge driven multiview bill of material reconfiguration for complex products in the digital twin workshop","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-023-12885-x","authors":["Yunrui Wang","Yaodong Wang","Wenzhe Ren","Ziqiang Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T18:02:45Z","doi":"10.1007/s00170-023-12885-x","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s10845-023-02268-0","name":"From framework to industrial implementation: the digital twin in process planning","source":"crossref","abstract":"Abstract In today’s fast-paced market, companies are challenged to meet increasing customer demands and shorter product life cycles. To successfully respond to these demands, companies must produce a wide variety of different products. This requires the determination of necessary processes and resources for each product, which can be difficult for process engineers due to the high manual effort and expertise involved. The current state of research has not yet provided explicit definitions of the necessary knowledge and has not fully achieved complete process planning automation. To address this challenge, a digital twin is a valuable tool for automating and understanding process planning. This paper presents a digital twin concept for process planning. It automatically analyzes the product, determines production processes, and selects appropriate resources by linking information about products, resources, and processes. The effectiveness of the digital twin concept is demonstrated through verified and validated use cases, including the production of a compressor element.","url":"https://doi.org/10.1007/s10845-023-02268-0","authors":["Sarah Wagner","Clemens Gonnermann","Marc Wegmann","Franz Listl","Gunther Reinhart","Michael Weyrich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-28T11:02:16Z","doi":"10.1007/s10845-023-02268-0","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch012","name":"Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation","source":"crossref","abstract":"This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing platform (CS-DT). Through the utilization of SOA and cloud computing features, the newly developed digital twin solution not only exhibits improved dependability but also provides advantages such as compatibility across different platforms, streamlined deployment of lightweight applications, and simplified procedures for updates and maintenance. These merits effectively mitigate the drawbacks associated with conventional digital twin development. The proposed approach has been effectively put into practice within practical systems, yielding operational results spanning over a year, thus underscoring its substantial potential for broad adoption in diverse industries and domains.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch012","authors":["Harish Ravali Kasiviswanathan","Sivaram Ponnusamy","K. Swaminathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch012","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s00170-022-09636-9","name":"Model construction of material distribution system based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-09636-9","authors":["Yunrui Wang","Ziqiang Jiang","Yue Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-07T17:11:47Z","doi":"10.1007/s00170-022-09636-9","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1002/9781394365371.ch1","name":"Introduction to Digital Manufacturing System","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394365371.ch1","authors":["Sandip Kunar","Gurudas Mandal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:41:32Z","doi":"10.1002/9781394365371.ch1","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.procs.2025.12.044","name":"Digital Twin and Metaverse Technologies for Sustainable Manufacturing Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2025.12.044","authors":["Fabio De Felice","Aniello Ferraro","Lucia Acampora","Narinder Sigh","Antonella Petrillo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-26T12:20:46Z","doi":"10.1016/j.procs.2025.12.044","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.3390/s24082618","name":"Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes","source":"crossref","abstract":"In the highly competitive field of material manufacturing, stakeholders strive for the increased quality of the end products, reduced cost of operation, and the timely completion of their business processes. Digital twin (DT) technologies are considered major enablers that can be deployed to assist the development and effective provision of manufacturing processes. Additionally, knowledge graphs (KG) have emerged as efficient tools in the industrial domain and are able to efficiently represent data from various disciplines in a structured manner while also supporting advanced analytics. This paper proposes a solution that integrates a KG and DTs. Through this synergy, we aimed to develop highly autonomous and flexible DTs that utilize the semantic knowledge stored in the KG to better support advanced functionalities. The developed KG stores information about materials and their properties and details about the processes in which they are involved, following a flexible schema that is not domain specific. The DT comprises smaller Virtual Objects (VOs), each one acting as an abstraction of a single step of the Industrial Business Process (IBP), providing the necessary functionalities that simulate the corresponding real-world process. By executing appropriate queries to the KG, the DT can orchestrate the operation of the VOs and their physical counterparts and configure their parameters accordingly, in this way increasing its self-awareness. In this article, the architecture of such a solution is presented and its application in a real laser glass bending process is showcased.","url":"https://doi.org/10.3390/s24082618","authors":["Georgia Stavropoulou","Konstantinos Tsitseklis","Lydia Mavraidi","Kuo-I Chang","Anastasios Zafeiropoulos","Vasileios Karyotis","Symeon Papavassiliou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-19T10:53:17Z","doi":"10.3390/s24082618","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1201/9781003425724-27","name":"On the Design of a Digital Twin for Maintenance Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-27","authors":["Frits van Rooij","Philip Scarf"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-27","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s10845-025-02652-y","name":"A responsive digital twin approach for machining based on biomimetic perception and cognition","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-025-02652-y","authors":["Yicheng Sun","Minjun Xu","Jinsong Bao","Shimin Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-30T15:01:22Z","doi":"10.1007/s10845-025-02652-y","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1162/2e3983f5.cc8ac55b","name":"Review 1: \"Population Scale Proteomics Enables Adaptive Digital Twin Modelling in Sepsis\"","source":"crossref","abstract":"","url":"https://doi.org/10.1162/2e3983f5.cc8ac55b","authors":["Shamim Nemati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-03T15:49:01Z","doi":"10.1162/2e3983f5.cc8ac55b","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1201/9781003536420-7","name":"Artificial Intelligence and Its Generative Power for Advancing the Sustainable Smart City Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003536420-7","authors":["Simon Elias Bibri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-27T12:54:47Z","doi":"10.1201/9781003536420-7","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.3233/atde250390","name":"Digital Twin-Based Biofeedback Controlling of Human-Cobot Interaction Upon a Manufacturing Application","source":"crossref","abstract":"Cobots (collaborative robots) are widely exploited in the manufacturing industry as smart assistants in proximity to human operators. The race towards mass automation brought by the fourth industrial revolution has made the safety of humans a widely discussed topic. Industrial guidelines have been introduced to accommodate this change in the manufacturing industry for better use of cobots without compromising human safety. Built-in safety is encouraged to be incorporated from the cobot programming stage itself to facilitate this safe collaborative environment. To achieve that, research is being done to train the cobots with various contact avoidance algorithms. Mitigating productivity loss while the cobots are in these trained safe operating modes, has been identified as a requirement by the researchers to take real advantage of collaborative workspaces. To address this requirement, the authors are proposing a novel cobot-controlling algorithm for human-cobot interaction by considering the biofeedback of the human operator. The proposed algorithm is part of a model workcell development which will be remotely controlled using a digital twin platform.","url":"https://doi.org/10.3233/atde250390","authors":["Anuradha Colombathanthri","Walid Jomaa","Yuvin Chinniah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-17T08:08:59Z","doi":"10.3233/atde250390","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/pr12010217","name":"Autonomous Hydrodistillation with a Digital Twin for Efficient and Climate Neutral Manufacturing of Phytochemicals","source":"crossref","abstract":"Hydrodistillation is traditionally a green technology for the manufacturing of natural products that are volatile. As well as acknowledged process intensification methods such as microwave support for energy efficiency to move towards climate neutral operation, digital twins combined with process analytical technology for advanced process control enables reliable operation of an optimal operation point regarding lowest cost of goods, as well as lowest global warming potential equivalent. A novel process control enabled by digital twin technology has shown to reduce the ecological footprint of the extraction by up to 46.5%, while reducing the cost of extraction by 22.4%. Additionally, skilled operator time is reduced, and the sustainable plant material is utilized most efficiently. The approach is ready to apply, but broad industrialization seems to be held back by unclear business cases and lack of comprehension of decision makers. This is in drastic contrast to the political demand for climate neutrality goals and the cost pressure by worldwide completion.","url":"https://doi.org/10.3390/pr12010217","authors":["Alexander Uhl","Larissa Knierim","Theresa Höß","Marcel Flemming","Axel Schmidt","Jochen Strube"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-18T11:28:46Z","doi":"10.3390/pr12010217","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.4324/9781003757108-5","name":"Digital Transformation in Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003757108-5","authors":["Radosław Miśkiewicz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-18T16:28:39Z","doi":"10.4324/9781003757108-5","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-981-95-7700-2_11","name":"Digital Twin-Enabled Production-Logistics Synchronisation for Enhancing Efficiency and Sustainability in Pharmaceutical Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-7700-2_11","authors":["Daqiang Guo","Jagjit Singh Srai","Ettore Settanni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T22:45:54Z","doi":"10.1007/978-981-95-7700-2_11","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/s00170-024-13440-y","name":"Editorial for the special issue on Digital twin in industry","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-024-13440-y","authors":["Fei Tao","Ang Liu","Nabil Anwer","Meng Zhang","Lihui Wang","Andrew Y. C. Nee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-18T04:22:23Z","doi":"10.1007/s00170-024-13440-y","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.procir.2026.05.060","name":"A Conceptualized Digital Twin Framework for Energy-Efficient Control in Stochastic Manufacturing Using Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2026.05.060","authors":["Mohammad Mehdi Keramati Feyz Abadi","Chao Liu","Marvin Carl May","Ali Keramati","Yuchun Xu","Tony Clark"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-30T11:44:36Z","doi":"10.1016/j.procir.2026.05.060","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.3390/fi14040114","name":"Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing","source":"crossref","abstract":"The use of mature, reliable, and validated solutions can save significant time and cost when introducing new technologies to companies. Reference Architectures represent such best-practice techniques and have the potential to increase the speed and reliability of the development process in many application domains. One area where Reference Architectures are increasingly utilized is cloud-based systems. Exploiting the high-performance computing capability offered by clouds, while keeping sovereignty and governance of proprietary information assets can be challenging. This paper explores how Reference Architectures can be applied to overcome this challenge when developing cloud-based applications. The presented approach was developed within the DIGITbrain European project, which aims at supporting small and medium-sized enterprises (SMEs) and mid-caps in realizing smart business models called Manufacturing as a Service, via the efficient utilization of Digital Twins. In this paper, an overview of Reference Architecture concepts, as well as their classification, specialization, and particular application possibilities are presented. Various data management and potentially spatially detached data processing configurations are discussed, with special attention to machine learning techniques, which are of high interest within various sectors, including manufacturing. A framework that enables the deployment and orchestration of such overall data analytics Reference Architectures in clouds resources is also presented, followed by a demonstrative application example where the applicability of the introduced techniques and solutions are showcased in practice.","url":"https://doi.org/10.3390/fi14040114","authors":["Attila Csaba Marosi","Márk Emodi","Ákos Hajnal","Róbert Lovas","Tamás Kiss","Valerie Poser","Jibinraj Antony","Simon Bergweiler","Hamed Hamzeh","James Deslauriers","József Kovács"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-06T16:21:30Z","doi":"10.3390/fi14040114","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-981-97-6176-0_9","name":"Digital Twin of Axisymmetric Part Storage QC and Inspection Workstation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-6176-0_9","authors":["S. Nandhagopal","V. S. Yogesh","Arun Kumar","Sunil Jha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-27T09:47:19Z","doi":"10.1007/978-981-97-6176-0_9","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.3390/machines14010097","name":"Implementation of a Digital Twin in Additive Manufacturing of Copper—Methodology, Implications, and Future Prospects","source":"crossref","abstract":"Digital twins are increasingly being used to visualize, analyze, or control physical processes and systems. Implementation currently poses challenges for users due to the cross-domain complexity of digital twins. In this study, the authors utilize a self-developed method to support the implementation of a digital twin (DT) for a powder bed fusion additive manufacturing system (PBF-LB/M) for copper components, utilizing a green laser. The study highlights the support offered by the developed approach and the implications of using DTs for PBF of copper. The DT focuses in particular on monitoring maintenance requirements, assisting in the selection of correct process parameters, and alerting plant operators in the event of problems. In addition, a process model focused on lack of fusion is implemented, based on earlier studies. In the human–machine system, DTs thus represent a further building block towards an improved process stability in PBF-LB/M of copper, and the method used lowers the barrier to entry for widespread use of DTs.","url":"https://doi.org/10.3390/machines14010097","authors":["Moritz Benedikt Schäfle","Michel Fett","Philipp Bojunga","Florian Sondermann","Eckhard Kirchner"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T18:40:09Z","doi":"10.3390/machines14010097","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1109/tii.2024.3441633","name":"Digital Twin-Enabled Health Prognostics for Smart Manufacturing Systems Under Uncertain Operating Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tii.2024.3441633","authors":["Hanbo Yang","Chuanfeng Feng","Gedong Jiang","Xuesong Mei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T15:53:13Z","doi":"10.1109/tii.2024.3441633","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.4018/979-8-3373-1082-4.ch003","name":"Digital Innovation and Integrated Frameworks in Aerospace Manufacturing","source":"crossref","abstract":"The aerospace production industry is going through a huge change that is being driven by digital innovation and the use of advanced frameworks. In a very competitive and regulated world, the need for more efficiency, accuracy, and speed is driving this change. Key technologies like digital twins, Industry 4.0, AI, additive manufacturing, and the Industrial Internet of Things (IIoT) make it possible to analyse data in real time, plan maintenance ahead of time, and create production systems that can adapt to new conditions. Digital engineering, model-based systems engineering (MBSE), and supply chain integration can all be combined into integrated models that make the whole product lifecycle more visible and help with making decisions.This is leading to better product quality at lower costs and shorter lead times. It also looks at effective frameworks for integration and points out both the problems and the chances of creating a fully connected, smart manufacturing environment.","url":"https://doi.org/10.4018/979-8-3373-1082-4.ch003","authors":["G. Prasad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-05T12:36:12Z","doi":"10.4018/979-8-3373-1082-4.ch003","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1145/3746709.3746777","name":"A Digital Twin Case Study on Prefabricated Component Factory for Offsite Manufacturing of Buildings","source":"openalex","abstract":"With the transformation of the construction manufacturing industry, off-site manufacturing technologies are gradually becoming mainstream. The existing digital systems of Prefabricated Component (PC) factories have problems such as incomplete presentation, inaccurate expression of physical entities in the information space, and weak real-time synchronization ability. To address these issues, we propose a digital twin system architecture applied to PC factories, which is divided into the physical entity layer, the digital twin entity layer, and the user entity layer. On this basis, relying on the Hannan PC Factory of China Construction Third Engineering Bureau Science and Technology Innovation Industry Development Co., Ltd., and based on physical systems such as the Internet of Things (IoT), Programmable Logic Controllers (PLC), central control systems, and Manufacturing Execution Systems (MES), a complete digital twin system has been designed and implemented. Through the association and mapping between digital twin virtual entities and physical entities, staff can monitor the production operation status in a realistic three-dimensional visual way in real time and make decisions. The actual operation effect has verified the effectiveness of the system framework, solved the problems that traditional PC factory digital systems cannot comprehensively present and accurately express the physical entities of PC factories and synchronize the production process in real time, and can lay a solid foundation for the subsequent dynamic prediction and decision optimization of prefabricated component production facilities.","url":"https://doi.org/10.1145/3746709.3746777","authors":["Zhenyuan Tan","Ming Tu","Xinglin He","Bingyong Chen","Yishi Zhao","Jianga Shang","Z Tan","Xinsheng He"],"tags":["Component (thermodynamics)","Factory (object-oriented programming)","Manufacturing engineering","Architectural engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-14","doi":"10.1145/3746709.3746777","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1080/0305215x.2024.2434201","name":"An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0305215x.2024.2434201","authors":["Vispi Karkaria","Ying-Kuan Tsai","Yi-Ping Chen","Wei Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-03T03:33:46Z","doi":"10.1080/0305215x.2024.2434201","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1016/j.aei.2025.103450","name":"The Augmented Perception: An emerging approach towards resilient manufacturing systems involving robotic agents and digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2025.103450","authors":["Yassine Feddoul","Nicolas Ragot","Fabrice Duval","Vincent Havard","David Baudry"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-27T07:47:21Z","doi":"10.1016/j.aei.2025.103450","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.2139/ssrn.4715206","name":"Digital Twin-Based Methodology for Urban Regeneration","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4715206","authors":["Cecilia Bolognesi","Domenico D&apos;UVa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-03T03:18:20Z","doi":"10.2139/ssrn.4715206","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.4324/9781032693415-8","name":"Digitalization and sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-8","authors":["Sourav Sengupta","Heidi C. Dreyer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-8","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.5220/0012711600003758","name":"A New Digital Twin Paradigm: Definition, Framework, and Proposed Architecture","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012711600003758","authors":["Jhonathan Barbosa","Omar Gómez","Jaime García"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-14T15:55:37Z","doi":"10.5220/0012711600003758","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.4018/978-1-6684-9848-4.ch001","name":"Shipping Digital Twin Landscape","source":"crossref","abstract":"The evolution of ship computerization towards digital twinning (DT) has been gradual, having its roots in the 1970s, when the first automated navigation and control systems were developed. Over the course of the past decades, the increased automation of ship functions, coupled in ICT advances, paved for the development and analysis of highly realistic ship models. These models are now enhanced and supported by sensor technologies that provide real-time data from ships. This chapter explores the transformative potential of digital twin technology to create virtual replicas of ships, their systems and broader shipping processes. These digital twins empower decision-makers in various stages, including ship design and operational management, both onboard and ashore, regarding ship and fleet management as well as optimised integration in multimodal transport networks. Additionally, they facilitate optimized integration within multimodal transport networks. The chapter provides insights into current state-of-the-art (SOTA) solutions, recent advancements, and emerging approaches in the maritime industry. Furthermore, the chapter delves into the regulatory aspects associated with the adoption of digital twins in the shipping sector, shedding light on potential risks and limitations. To assist in understanding and implementing digital twins effectively, the chapter introduces a comprehensive shipping digital twining architecture and a capabilities model. These frameworks can accommodate diverse technologies, enabling different levels of ambition and customization in the realm of shipping digital twins.","url":"https://doi.org/10.4018/978-1-6684-9848-4.ch001","authors":["Takis Katsoulakos","Georgia Tsiochantari","Fearghal O'Donncha","Eleftherios Kaklamanis","Allesandro Maccari","Marcin Mucharski"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:42:25Z","doi":"10.4018/978-1-6684-9848-4.ch001","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1007/978-3-031-53445-4_11","name":"Digital Twin Architecture for Ambient Assisted Living","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-53445-4_11","authors":["Abbas Ramadan","Florent Frizon De Lamotte","Nathalie Julien"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-03T00:06:36Z","doi":"10.1007/978-3-031-53445-4_11","addedAt":"2026-09-01T01:47:42.181Z","updatedAt":"2026-09-01T01:47:42.181Z"},{"id":"doi:10.1155/2021/8838914","name":"A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin","source":"crossref","abstract":"As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected.","url":"https://doi.org/10.1155/2021/8838914","authors":["Zhiyong Wang","Wei Feng","Junlin Ye","Jinbiao Yang","Chun Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-01-13T21:05:25Z","doi":"10.1155/2021/8838914","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/978-3-030-99108-1_8","name":"Digital Twin for Production Systems: A Literature Perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-99108-1_8","authors":["Ksenia Pystina","Aicha Sekhari","Lilia Gzara","Vincent Cheutet"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-02T04:05:40Z","doi":"10.1007/978-3-030-99108-1_8","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/978-3-030-69373-2_7","name":"Digital Twin Data Pipeline Using MQTT in SLADTA","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-69373-2_7","authors":["C. Human","A. H. Basson","K. Kruger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-02T21:02:32Z","doi":"10.1007/978-3-030-69373-2_7","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1109/icscai68849.2026.11648755","name":"Multi-Agent Digital Twin Architecture for Collaborative Diagnosis in Cyber-Physical Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icscai68849.2026.11648755","authors":["S Bhuvanesh","Ponmurugan Panneerselvam","Divya S. Khurana","Manish Kalra","R. Krishnan","Abdul Subhani Shaik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T19:09:50Z","doi":"10.1109/icscai68849.2026.11648755","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.3390/pr12061062","name":"Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review","source":"crossref","abstract":"The additive manufacturing (AM) field is rapidly expanding, attracting significant scientific attention. This family of processes will be widely used in the evolution of Industry 4.0, particularly in the production of customized components. However, as the complexity and variability of additive manufacturing processes increase, there is an increasing need for advanced techniques to ensure quality control, optimize performance, and reduce production costs. Multiple tests are required to optimize processing variables for specific equipment and processes, to achieve optimum processing conditions. The application of digital twins (DTs) has significantly enhanced the field of additive manufacturing. A digital twin, abbreviated as DT, refers to a computer-generated model that accurately depicts a real-world object, system, or process. A DT comprises the complete additive manufacturing process, from the initial conception phase to the final manufacturing phase. It enables the manufacturing process to be continuously monitored, studied, and optimized in real time. DT has emerged as an important tool in the additive manufacturing industry. They allow manufacturers to enhance the process, improve product quality, decrease costs, and accelerate innovation. However, the development of DT in AM is an iterative and continuous process. It requires collaboration between domain experts, data scientists, engineers, and manufacturing teams to guarantee an accurate representation of the process by the digital twin. This paper aims to provide a comprehensive analysis of the current state of DT for additive manufacturing, examining their applications, benefits, challenges, and future directions.","url":"https://doi.org/10.3390/pr12061062","authors":["Sabrine Ben Amor","Nessrine Elloumi","Ameni Eltaief","Borhen Louhichi","Nashmi H. Alrasheedi","Abdennour Seibi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T11:03:47Z","doi":"10.3390/pr12061062","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1201/9781003425724-54","name":"Digital Twin Security of the Cyber-Physical Water Supply System","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-54","authors":["Nikolai Fomin","Roman V. Meshcheryakov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-54","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.12688/digitaltwin.17607.2","name":"Research on audible noise of ultra-high voltage direct current (UHV DC) transmission lines with a digital twin","source":"crossref","abstract":"Much attention has been paid to audible noise in the design of ultra-high voltage (UHV) direct current (DC) transmission lines because of its negative impact on residents' lives. In order to analyze audible noise, shorten the research period, and reduce experimental costs, firstly, a digital twin model for audible noise of UHV DC transmission lines is proposed. Then, the model’s structure and related principles are explained in detail. Finally, an application, as a research paradigm, uses digital twin to study the source distribution on transmission lines and influencing factors of audible noise. The A-weighted sound level of audible noise on the ground is calculated and compared with the data obtained by the BPA empirical formula. The results show that the position of the sound source tends to have uniform distribution and the intensity tends to have Gaussian distribution. We also used the model to simulate and analyze the effects of temperature and humidity on the generation and propagation of audible noise, illustrating the great value of digital twin technology in the study of audible noise. This paper not only provides a new method for audible noise research, but also provides a reference for the design of UHV DC transmission lines.","url":"https://doi.org/10.12688/digitaltwin.17607.2","authors":["Penghui Zhao","Linjun Fu","Haiwen Yuan","Yingyi Liu","Luxing Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-25T12:35:07Z","doi":"10.12688/digitaltwin.17607.2","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.22381/jsme11420233","name":"Mobile Robotic Manufacturing and Automatic Process Control Systems, Digital Twin Artificial Intelligence Sensing and Imaging Technologies, and Interoperable Virtual and 6G Wireless Sensor Networks in the Industrial Metaverse","source":"crossref","abstract":"","url":"https://doi.org/10.22381/jsme11420233","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-16T10:47:26Z","doi":"10.22381/jsme11420233","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1115/imece2025-167119","name":"Generative AI-Driven Disruption Management in Matrix Production: A Digital Twin-Based Framework for Resilient Operations Towards Industry 5.0","source":"crossref","abstract":"Abstract The increasing uncertainty in modern manufacturing systems presents challenges in managing disruptions. Unlike traditional linear production systems, matrix production enables modular flexibility, allowing for real-time machine rescheduling and dynamic material transport via Automated Guided Vehicles (AGVs). However, this added flexibility also introduces substantial complexity in decision-making, particularly under disruption scenarios, as it necessitates the simultaneous adjustment of both AGV dispatching and machine scheduling. Traditional optimization- and rule-based approaches to disruption management often suffer from extended decision-making times, suboptimal performance, and, critically, the limited integration of human expertise. To address these limitations, we propose a Generative AI (GenAI)-driven decision support framework that integrates Large Language Models (LLMs) within matrix production systems to enhance manufacturing resilience. Our framework leverages a fine-tuned GenAI model trained on structured knowledge bases derived from digital twin-enabled what-if disruption scenarios and expert knowledge. By integrating human-guided decision refinement, the framework provides real-time, human-in-the-loop, and explainable decision support aligned with operational goals and human preferences. To validate the approach, we implemented the framework in a semiconductor production use case and assessed the system resilience via key metrics such as utilization, downtime, and throughput. Compared to the best baseline static rule, our GenAI-based framework improved throughput by 11.81% and machine utilization by 11.49% in disruption scenarios. The results show that task-specific recommendations generated by the GenAI model effectively assist workers in selecting optimal response decisions during real-time disruptions.","url":"https://doi.org/10.1115/imece2025-167119","authors":["Yanchao Tan","Baicun Wang","Wei Yuan","Quan Zhou","Yingxue He","Wei Ye","Marvin May","Xingyu Li","Sang-Gook Kim","Ragu Athinarayanan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T16:17:44Z","doi":"10.1115/imece2025-167119","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1016/j.matdes.2025.114870","name":"Residual stress control in large-format additive manufacturing of polylactic acid via a digital twin and in-operando imaging","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.matdes.2025.114870","authors":["Rafaël Viano","Léo Demont","Pierre Margerit","Romain Mesnil","Jean-François Caron","Daniel Weisz-Patrault"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-15T07:13:02Z","doi":"10.1016/j.matdes.2025.114870","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/s10845-023-02315-w","name":"Digital twin-driven real-time suppression of delamination damage in CFRP drilling","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-023-02315-w","authors":["Jielin Chen","Shuang Li","Hanwei Teng","Xiaolong Leng","Changping Li","Rendi Kurniawan","Tae Jo Ko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-05T04:02:18Z","doi":"10.1007/s10845-023-02315-w","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s00170-018-1617-6","name":"Digital twin-based smart production management and control framework for the complex product assembly shop-floor","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-018-1617-6","authors":["Cunbo Zhuang","Jianhua Liu","Hui Xiong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-02-07T11:28:43Z","doi":"10.1007/s00170-018-1617-6","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.3390/bdcc7020089","name":"Digital Twin Four-Dimension Fusion Modeling Method Design and Application to the Discrete Manufacturing Line","source":"crossref","abstract":"With the development of new-generation information technologies, such as big data and artificial intelligence, digital twins have become a key technology in intelligent manufacturing. The introduction of digital twin technology has addressed many problems in discrete manufacturing lines, including low visualization and difficult cyber–physical integration. However, the application of digital twin technology to discrete manufacturing lines still faces problems of low modeling accuracy, response delay, and insufficient production line control accuracy. Therefore, this paper proposes a digital twin four-dimension fusion modeling method to solve the above problems. First, a digital twin system architecture for a discrete manufacturing production line is designed. Then, the information control dimension is integrated into traditional digital twin modeling methods. Further, a digital twin geometry–physics–behavior–information control four-dimension fusion modeling method is proposed. This method can describe the geometric and physical characteristics of a physical entity and map its behavior mechanism. More importantly, it reveals the control logic and virtual–real mapping rules, which provides important support for the virtual–real intelligent mutual control. Finally, the feasibility and effectiveness of the proposed method are verified by experiments on a fidget spinner discrete manufacturing line, and a digital twin operation and maintenance management system is developed. The results presented in this study could provide ideas for the digital transformation of discrete manufacturing enterprises.","url":"https://doi.org/10.3390/bdcc7020089","authors":["Jieyu Xie","Jiafu Wan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-09T02:28:08Z","doi":"10.3390/bdcc7020089","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4324/9781003435396-3","name":"Digital Twin Cities","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003435396-3","authors":["Calayde Davey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-15T16:18:16Z","doi":"10.4324/9781003435396-3","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.17973/mmsj.2025_09_2025083","name":"THE CONCEPT OF A DIGITAL TWIN BASED ON THE ASSET ADMINISTRATION SHELL (AAS) STANDARD WITH 3D VISUALIZATION","source":"crossref","abstract":"The paper presents the integration of digital twins into industrial processes using the Asset Administration Shell (AAS) standard. The research describes the basic concept of implementing the AAS standard for industrial data collection from selected automation devices. The core component of data collection is the AAS server, which serves as a bridge between the real process and data visualization. Real devices synchronize data with the AAS server via an OPC server. Digital twin representations in AAS virtual devices provide data through REST API communication. The visualization of digital twin data from selected devices is demonstrated using an Unreal Engine application. This application offers a wireless connection to the XR device Meta Quest 3 for enhanced interaction with virtual objects.","url":"https://doi.org/10.17973/mmsj.2025_09_2025083","authors":["ANASTASIIA NAZIM","KAMIL ZIDEK","MICHAL DUHANCIK"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-27T09:34:10Z","doi":"10.17973/mmsj.2025_09_2025083","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1016/j.jmsy.2020.11.012","name":"A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2020.11.012","authors":["Pei Wang","Ming Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-30T17:23:19Z","doi":"10.1016/j.jmsy.2020.11.012","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.3233/atde210049","name":"Virtual Reality Based Digital Twin System for Remote Laboratories and Online Practical Learning","source":"crossref","abstract":"There is a need for remote learning and virtual learning applications such as virtual reality (VR) and tablet-based solutions which the current pandemic has demonstrated. Creating complex learning scenarios by developers is highly time-consuming and can take over a year. There is a need to provide a simple method to enable lecturers to create their own content for their laboratory tutorials. Research is currently being undertaken into developing generic models to enable the semi-automatic creation of a virtual learning application. A case study describing the creation of a virtual learning application for an electrical laboratory tutorial is presented.","url":"https://doi.org/10.3233/atde210049","authors":["Claire Palmer","Ben Roullier","Muhammad Aamir","Leonardo Stella","Uchenna Diala","Ashiq Anjum","Frank Mcquade","Keith Cox","Alex Calvert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-06T15:20:00Z","doi":"10.3233/atde210049","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4018/979-8-3693-1878-2.ch010","name":"Advanced Data Analytics in Green Finance","source":"crossref","abstract":"This chapter explores how cutting-edge technologies, such as big data analytics, digital twins, and blockchain, are revolutionizing the green finance industry. It examines how these technologies' convergence improves sustainable financial practices efficiency, transparency, and decision-making while providing a fresh viewpoint on their complementary effects. The chapter describes the distinct functions of digital twins in asset optimization and risk management, blockchain in guaranteeing security and trust, and sophisticated data analytics in facilitating well-informed financial decisions.","url":"https://doi.org/10.4018/979-8-3693-1878-2.ch010","authors":["Afzalur Rahman","Mohsin Khan","Ben Attom","M. Manoharan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-29T10:22:50Z","doi":"10.4018/979-8-3693-1878-2.ch010","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1201/9781003425724-37","name":"Digital Twin Applications in Electrical Machines Diagnostics","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-37","authors":["Georgios Falekas","Ilias Palaiologou","Zafeirios Kolidakis","Athanasios Karlis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-37","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4018/978-1-6684-9848-4.ch003","name":"Shipping Digital Twin Data Management With the Use of Knowledge Graphs","source":"crossref","abstract":"This chapter explores the data management challenges inherent in a digital twin framework and elucidates the pivotal role of knowledge graphs in meeting these demands. The author introduces a functional metamodel designed to semantically convert scenarios related to the green transition into a standardized format. This metamodel emerges as a vital instrument for both business and technical stakeholders, streamlining the intricate interplay among operational requisites, environmental factors, optimization strategies, and decarbonization technologies. It adeptly encapsulates the ship's environmental and economic performance indicators. In synergy with the metamodel, a knowledge graph (KG) encodes industry-specific parameters, laying a robust groundwork that depicts the vessel's functionalities, variables, and operational processes, and serves as a repository for model metadata. This facilitates the automation of shortest path computations, effectively bridging the divide between overarching platform operations and the complex nuances of maritime assets and activities. The utility of the metamodel and knowledge graph in translating real-world issues into a digital twin-compatible format is exemplified through a case study focusing on the application of variable frequency drives for enhancing the efficiency of the high-temperature cooling system. The chapter concludes by summarizing the data management hurdles encountered in maritime digital twins and offering a perspective on future developments.","url":"https://doi.org/10.4018/978-1-6684-9848-4.ch003","authors":["Antonis Antonopoulos","Antonis Mygiakis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:42:25Z","doi":"10.4018/978-1-6684-9848-4.ch003","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1201/9781003507000-5","name":"Immersive virtual environments and digital twin applications for education and training","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507000-5","authors":["Samad M. E. Sepasgozar","Ayaz Ahmad Khan","Sara Shirowzhan","Juan Sebastian Garzon Romero","Christopher Pettit","Chengguo Zhang","Joung Oh","Ruiyu Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T11:08:34Z","doi":"10.1201/9781003507000-5","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.31219/osf.io/pa53r","name":"Advancing Congestive Heart Failure Management through Digital Twin Integration","source":"crossref","abstract":"Congestive heart failure (CHF) imposes a substantial burden on global health systems. This is affecting millions and necessitating significant healthcare resources. This study introduces a CHF-specific digital twin framework for personalization of CHF management. We detail the creation of digital twins through the integration of diverse patient data, including real-time physiological parameters, genomic data and longitudinal health records. Our approach utilizes a digital twin that offers a dynamic representation of the patient’s health. This approach addresses the challenges in CHF management, such as risk stratification, disease progression and treatment personalization. This study's main contribution is integrating mechanistic and statistical models using artificial intelligence to improve predictive analytics' accuracy for real-time clinical decisions. We extend our investigation to encompass ethical considerations by giving importance of patient consent, data privacy and ethical use of predictive analytics. This study advocates for the necessity of transparent communication and education to cultivate trust in this innovative technology among healthcare providers and patients.","url":"https://doi.org/10.31219/osf.io/pa53r","authors":["Obada Albaghdadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-25T09:42:32Z","doi":"10.31219/osf.io/pa53r","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1002/we.2912/v2/review1","name":"Review for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v2/review1","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.4018/979-8-3693-1878-2.ch008","name":"Innovative Financial Instruments for Green Investments","source":"crossref","abstract":"The chapter examines the creative use of blockchain and digital twin technologies in green finance that combines financial innovation with environmental sustainability. Blockchain and digital twin technologies are transforming traditional financial frameworks, making novel financial instruments essential for green investments. ESG-linked futures, green bonds, and sustainable asset-backed securities have evolved over time, and blockchain technology and digital twins have made them more reliable and appealing. The chapter also examines minimising the risks and improving return prediction in green investments. These technologies are shown in action in sustainable finance using real-world scenarios. The chapter concludes with a discussion of the challenges and potential advances of these revolutionary financial instruments and their growing relevance in environmentally friendly financial solutions. This comprehensive investigation aims to help financial professionals, investors, politicians, and academics navigate the ever-changing world of green investing.","url":"https://doi.org/10.4018/979-8-3693-1878-2.ch008","authors":["Mohsin Khan","Afzalur Rahman","Mohammad Shakir Ebrahim","Humaira Fatima"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-29T10:22:50Z","doi":"10.4018/979-8-3693-1878-2.ch008","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.5220/0013016400003822","name":"Model-Based Digital Twin for Collaborative Robots","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013016400003822","authors":["Jeshwitha Raja","Shaza Elbishbishy","Yanire Gutierrez","Ibrahim Mohamed","Philipp Kranz","Marian Daun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T22:41:22Z","doi":"10.5220/0013016400003822","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1007/978-3-031-67778-6","name":"Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:16Z","doi":"10.1007/978-3-031-67778-6","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1201/9781003469612","name":"Digital Twin Technology and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612","authors":["A. Daniel","Srinivasan Sriramulu","N. Partheeban","SANTHOSH JAYAGOPALAN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.2139/ssrn.4917180","name":"Sustainability and the Development of Urban Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4917180","authors":["Mattia De Angelis","Biagio Aragona"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-06T06:57:23Z","doi":"10.2139/ssrn.4917180","addedAt":"2026-09-01T01:47:42.182Z","updatedAt":"2026-09-01T01:47:42.182Z"},{"id":"doi:10.1162/2e3983f5.2872b5ae","name":"Review of \"Population Scale Proteomics Enables Adaptive Digital Twin Modelling in Sepsis\"","source":"crossref","abstract":"","url":"https://doi.org/10.1162/2e3983f5.2872b5ae","authors":["Shamim Nemati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-03T15:48:53Z","doi":"10.1162/2e3983f5.2872b5ae","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch015","name":"Exploring the Applications and Significance of Digital Twin Technology in Everyday Life","source":"crossref","abstract":"A digital twin refers to a virtual copy of an entity, which can be a system, process, or product. It is updated using current data and helps bridge the gap between the real and digital worlds. By creating an identical replica of an object, such as a locomotive, chair, or skyscraper, sensors are attached to collect real-time data which is then translated into a virtual representation. The digital twin is created, examined, and built in a virtual environment. This technology has been advanced by the development of the internet of things (IoT), which allows for constant connectivity and real-time data transmission. The digital twin is used to anticipate the future as well as comprehend the present. This chapter discusses and explains several digital twin applications as well as the value of digital twins.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch015","authors":["Jiuliasi Veiwilitamata Uluiburotu","Salaseini Ligamamada Rabuka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch015","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.61356/smij.2024.8289","name":"GH-Twin: Graph Learning Empowered Hierarchical Digital Twin for Optimizing Self-Healing Networks","source":"crossref","abstract":"Communication networks are witnessing a fast evolution towards Beyond 5G (B5G), bringing unprecedented complexities and challenges for optimizing networks in guaranteeing self-healing abilities and maintaining quality of services (QoS). To this end, this study presents a Graph Learning-driven Hierarchical Digital Twin framework, called GH-Twin, to build a reliable virtual replica of network components and their communications between different layers, leading to inclusive network representation. The proposed framework introduces graph cross-learning (GCL) distributed across different participants to devise competent predictive modelling of network performance collaboratively and preemptively recognize abnormalities in network settings. To preserve local privacy, differential privacy is applied by injecting some Gaussian into the parameters of local GCL before sharing it with the global coordinator. Proof of concept simulations has demonstrated that GH-Twin can precisely predict flow-level QoS and recognize anomalous links and nodes under different network topologies.","url":"https://doi.org/10.61356/smij.2024.8289","authors":["Nour Moustafa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-10T20:20:08Z","doi":"10.61356/smij.2024.8289","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.2139/ssrn.4900072","name":"Digital Twin: Applications, Implementation and ROI In Printing Industry","source":"crossref","abstract":"It is expected that the global value across all print and printed packaging will reach $843 billion in 2026. This is increasing after the pandemic-induced negative disruption in 2020. The packaging market has a growing share in it [1]. In Industry 4.0; the manpower, machinery, and printing processes are in the network digitally [2]. Accurate and precise data is controlling the production and digital twins are an important tool for increased overall efficiency and sustainability. Digital twins are connected from the sensors to the cloud-based software which can be accessed by all the stakeholders such as manufacturers, intermediate supply chain managers, wholesale clients, and enduse customers. Therefore, digital twins are an important part of Industry 4.0. In the print &amp;amp; packaging industry, due to increased automation, the investments in plant and machinery are increasing but customers expect cost reductions with an emphasis on quality and sustainability measures. The order quantities are reducing and demand for short-run customized products is increasing. The customers expect the printing companies to follow international standards diligently. There are several benefits of digital twins in the printing and packaging industry which result in saving time, manpower, cost and thus reducing the adverse impact on the environment in terms of effluents, use of power etc. thus increasing overall equipment efficiency and sustainability.","url":"https://doi.org/10.2139/ssrn.4900072","authors":["Sameer Deshpande","Manisha Deshpande"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-23T11:09:47Z","doi":"10.2139/ssrn.4900072","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1007/978-3-031-67778-6_4","name":"A System of Systems Foundation for Digital Asset Lifecycle Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_4","authors":["Edmary Altamiranda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:59Z","doi":"10.1007/978-3-031-67778-6_4","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1016/0736-5845(89)90053-7","name":"Twin active force control for robots with flexible transmissions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/0736-5845(89)90053-7","authors":["J.R. Hewitt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2003-03-15T09:33:03Z","doi":"10.1016/0736-5845(89)90053-7","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.1007/978-3-031-91500-0_4","name":"Technology Shift from Traditional Subtractive Manufacturing to Additive Manufacturing in Digital Manufacturing Era","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_4","authors":["P. P. Praveen Kumar","Rakesh Joshi","Pias Biswas","Yatika Gori","Ashwani Kumar","Yogesh Kumar Singla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T00:03:52Z","doi":"10.1007/978-3-031-91500-0_4","addedAt":"2026-09-01T01:47:42.183Z","updatedAt":"2026-09-01T01:47:42.183Z"},{"id":"doi:10.5281/zenodo.13885862","name":"On Model Based Adaption of Deep Drawing Processes to Increase Process Stability and Resource Efficiency","source":"datacite","abstract":"In industrial deep drawing processes, stochastic fluctuations and disturbances in the manufacturing can result in a decreasing overall equipment effectiveness (OEE). The sensitivity to a fluctuation in component quality is further intensified in car body manufacturing due to complex geometries with small radii and the processing of high strength steels. The resistance to negative influences is referred to as resilience. This work presents and evaluates various smart stamping approaches that enhance the resilience of deep drawing processes. The focus is on the prediction of optimal press settings based on the incoming mechanical material properties. The mechanical material properties and component quality are continuously measured and fed into a model for analyzing the effects of fluctuations and disturbances on product quality through a feedback loop. Due to the ability to autonomously adapt to fluctuating environmental conditions and the automatic feedback, the meta model is considered as a digital twin.","url":"https://doi.org/10.5281/zenodo.13885862","authors":["Juricek, Christian","Jung, Robert O.","Bleicher, Friedrich"],"tags":["Sheet metal forming","Deep drawing","Process control","Sensorics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13885862","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.13885006","name":"Twin Transition in Manufacturing","source":"datacite","abstract":"Twin Transition in Manufacturing explores the intersection of green and digital transitions within the manufacturing industry. This proceeding focuses on advancements in sustainability, digitalization, and innovation across various sectors in manufacturing. Proceeding Overview Machine Tools and Production Systems This section delves into innovations within the automotive industry, particularly focusing on the transformation towards electric vehicles and digitalization of production systems. It discusses how the company is leading the way in electromobility through significant investments in gigafactories and smart production systems. Additionally, advancements in industrial intelligence and digital twins in machine tools are presented, showcasing enhanced efficiency and sustainability through artificial intelligence, automation, and innovative control technologies. Primary Shaping and Forming The focus here is on additive manufacturing, especially 3D sand printing for steel casting. This technique enables complex, lightweight designs that reduce material consumption and environmental impact. The chapter includes case studies in the mobility and automotive industries, demonstrating how bionic principles can optimize part design and reduce CO2 emissions. Furthermore, data-driven approaches are emphasized for optimizing forming processes and improving the resource efficiency of metal forming techniques. Machining This section explores the evolution of machining processes, particularly in sustainable aircraft production. It highlights advancements in simulation-based control systems for improving tool wear prediction and efficiency in machining processes. This section examines innovations like wire arc additive manufacturing and multi-axis machining, highlighting their ability to streamline processes. By integrating these technologies, manufacturers can significantly lower costs and boost productivity, especially in low-volume production runs. These advancements not only optimize material use but also enable greater flexibility and precision, making them ideal for producing complex, customized parts efficiently. Data-Driven Manufacturing The final chapter focuses on how data ecosystems are enabling greener production methods. The shared use of data, as well as advancements like the digital product passport, are paving the way for more transparent and efficient manufacturing processes. This chapter showcases how discrete event simulations are pre-validated to optimize intralogistics systems, contributing to more sustainable and streamlined manufacturing operations. These chapters collectively reflect the ongoing transformation in manufacturing, driven by a commitment to digitalization and environmental responsibility.Univ.Prof. Dipl.-Ing. Dr.techn. Friedrich BleicherDr.techn. Osman Bodur, MScAsst. Prof. Dipl.-Ing. Dr.techn. Thomas Fabian Trautner","url":"https://doi.org/10.5281/zenodo.13885006","authors":["Bleicher, Friedrich","Bodur, Osman","Trautner, Thomas"],"tags":["Twin transition","Digital Transformation","Machine Tools","Production Systems","Machining","Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13885006","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.13885863","name":"On Model Based Adaption of Deep Drawing Processes to Increase Process Stability and Resource Efficiency","source":"datacite","abstract":"In industrial deep drawing processes, stochastic fluctuations and disturbances in the manufacturing can result in a decreasing overall equipment effectiveness (OEE). The sensitivity to a fluctuation in component quality is further intensified in car body manufacturing due to complex geometries with small radii and the processing of high strength steels. The resistance to negative influences is referred to as resilience. This work presents and evaluates various smart stamping approaches that enhance the resilience of deep drawing processes. The focus is on the prediction of optimal press settings based on the incoming mechanical material properties. The mechanical material properties and component quality are continuously measured and fed into a model for analyzing the effects of fluctuations and disturbances on product quality through a feedback loop. Due to the ability to autonomously adapt to fluctuating environmental conditions and the automatic feedback, the meta model is considered as a digital twin.","url":"https://doi.org/10.5281/zenodo.13885863","authors":["Juricek, Christian","Jung, Robert O.","Bleicher, Friedrich"],"tags":["Sheet metal forming","Deep drawing","Process control","Sensorics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13885863","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2501.02205","name":"Digital Twin Calibration with Model-Based Reinforcement Learning","source":"datacite","abstract":"This paper presents a novel methodological framework, called the Actor-Simulator, that incorporates the calibration of digital twins into model-based reinforcement learning for more effective control of stochastic systems with complex nonlinear dynamics. Traditional model-based control often relies on restrictive structural assumptions (such as linear state transitions) and fails to account for parameter uncertainty in the model. These issues become particularly critical in industries such as biopharmaceutical manufacturing, where process dynamics are complex and not fully known, and only a limited amount of data is available. Our approach jointly calibrates the digital twin and searches for an optimal control policy, thus accounting for and reducing model error. We balance exploration and exploitation by using policy performance as a guide for data collection. This dual-component approach provably converges to the optimal policy, and outperforms existing methods in extensive numerical experiments based on the biopharmaceutical manufacturing domain.","url":"https://doi.org/10.48550/arxiv.2501.02205","authors":["Zheng, Hua","Xie, Wei","Ryzhov, Ilya O.","Choy, Keilung"],"tags":["Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.02205","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2024-11476","name":"Multiphysics modeling of manufacturing and failure processes","source":"datacite","abstract":"The development of modern technical devices demands a resource saving design for the manufacturing process in conjunction with optimal device performance during the application. The realization of these complex requirements necessitates an integrated evaluation approach that considers the manufacturing process plus the entire lifespan up to the potential failure of the device. The object's transfer into its digital twin allows for its numerical simulation and digital analysis at arbitrary time and length scales, which offer precious and experimentally hard to access process insights. This cumulative dissertation may provide a valuable contribution to the systemic product development process and, thus, addresses the digital modeling of multiphysical manufacturing and failure processes based on the finite element method. The works comprise the model development of an efficient modeling approach for material dissolution and moving boundary value problems in electrochemical machining and, for the product application, the modeling and regularization of anisotropic damage at finite strains. The first three articles deal with the efficient modeling of the manufacturing process of electrochemical machining. In the first article, a novel methodology for modeling material dissolution based on effective material parameters is developed that resolves the fundamental issue of computationally expensive remeshing during the simulation of dissolution processes of the workpiece. The second article features the application of effective material parameter modeling for the simulation of the tool and, thereby, enables the entire process simulation of the moving boundary value problem without mesh adaptation. The third article extends the isotropic rules of mixture for the identification of the effective material by an anisotropic formulation, which is based on the orientation of the electric current density. The subsequent four articles cover the gradient-extended modeling of anisotropic damage. In the fourth and fifth article, two energy formulations, which fulfill a physical stiffness reduction according to the damage growth criterion, are employed to develop an efficient and universal gradient-extension for inelastic processes with tensor-valued internal variables. A novel volumetric-deviatoric gradient-extension of the damage tensor using two micromorphic degrees of freedom yields an effective regularization capability to obtain mesh independent results. Further structural simulations in the sixth and seventh article confirm the performance of the developed regularization methodologies.","url":"https://doi.org/10.18154/rwth-2024-11476","authors":["van der Velden, Tim"],"tags":["Hochschulschrift"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18154/rwth-2024-11476","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14575874","name":"Digital Transformation of Value Chain Activities an Industry 4.0 Approach for Electrical Equipment Manufacturing with a Small Business Focus","source":"datacite","abstract":"The application of digital technologies to value chain activities is a critical factor of new-generation manufacturing, particularly within the field of Industry 4.0. Specifically, we focus on type of Industry technologies for electrical equipment manufacturing firms operating in this sector particularly the small businesses. The main purpose is to evaluate the role of digital technologies, such as IoT, big data, and robotics, in improving specific aspects of manufacturing and at the same time producing new value streams in the form of smarter production or improved customer experience. An exploratory research method is used to conduct a literature review of available literature on the adoption of Industry 4.0 by small businesses. Research assumptions show that: There should be major signs of enhancement in productivity, sophistication, and customer relations among small business. Thus, the study emphasizes the use of Big Data technologies to make correct decisions, digital twin for improving the efficiency of production. Still, there are clearly some issues that include initial high cost of installation and integration problems. These implications reveal that electrical equipment manufacturing firms, particularly small firms that are likely to be experiencing challenges of market dynamics, should strategically invest in digital technology that are most likely to grow with the market. In addition, the research calls for the inclusion of technical and managerial perspectives of digital transformation in order to capture the depth of the industry 4.0 technologies.","url":"https://doi.org/10.5281/zenodo.14575874","authors":["Shireen Bojja"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14575874","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14575873","name":"Digital Transformation of Value Chain Activities an Industry 4.0 Approach for Electrical Equipment Manufacturing with a Small Business Focus","source":"datacite","abstract":"The application of digital technologies to value chain activities is a critical factor of new-generation manufacturing, particularly within the field of Industry 4.0. Specifically, we focus on type of Industry technologies for electrical equipment manufacturing firms operating in this sector particularly the small businesses. The main purpose is to evaluate the role of digital technologies, such as IoT, big data, and robotics, in improving specific aspects of manufacturing and at the same time producing new value streams in the form of smarter production or improved customer experience. An exploratory research method is used to conduct a literature review of available literature on the adoption of Industry 4.0 by small businesses. Research assumptions show that: There should be major signs of enhancement in productivity, sophistication, and customer relations among small business. Thus, the study emphasizes the use of Big Data technologies to make correct decisions, digital twin for improving the efficiency of production. Still, there are clearly some issues that include initial high cost of installation and integration problems. These implications reveal that electrical equipment manufacturing firms, particularly small firms that are likely to be experiencing challenges of market dynamics, should strategically invest in digital technology that are most likely to grow with the market. In addition, the research calls for the inclusion of technical and managerial perspectives of digital transformation in order to capture the depth of the industry 4.0 technologies.","url":"https://doi.org/10.5281/zenodo.14575873","authors":["Shireen Bojja"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.5281/zenodo.14575873","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.17632/zhm6t5vdpm","name":"Supplementary materials for Ph.D. thesis \"AI Digital Twin of Roll-to-Roll Printing System for Autonomous Manufacturing\"","source":"datacite","abstract":"The supplementary materials demonstrate the autonomous Bayesian optimization of a proportional-integral (PI) web tension controller through a Digital Twin (DT) of a roll-to-roll (R2R) manufacturing system. The operation is conducted on the DT computer, which communicates with the Physical Twin (PT), i.e., the R2R manufacturing system, via the OPC UA protocol and the web tension step response is displayed using DT operation module. Additionally the step response file is collected via SFTP communication. In each iteration, the Bayesian optimization algorithm suggests new values for the proportional (Kp) and integral (Ki) controller gains based on the results of previous experiments. The step response data is then processed to extract key dynamic control characteristics, including time constant, overshoot, and settling time. These characteristics are combined into a quality score as a weighted sum, which is used in Gaussian process modeling. The updated model is subsequently used to query new Kp and Ki gains through the Expected Improvement acquisition function. This real-time communication and model updating optimize the control of the R2R system. The video playback speed of the Supplementary video S1 is increased by a factor of 10.","url":"https://doi.org/10.17632/zhm6t5vdpm","authors":["Gafurov, Anton"],"tags":["Computer-Aided Manufacturing","Flexible Substrate","Digital Twin Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17632/zhm6t5vdpm","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2412.11981","name":"Industrial-scale Prediction of Cement Clinker Phases using Machine Learning","source":"datacite","abstract":"Cement production, exceeding 4.1 billion tonnes and contributing 2.4 tonnes of CO2 annually, faces critical challenges in quality control and process optimization. While traditional process models for cement manufacturing are confined to steady-state conditions with limited predictive capability for mineralogical phases, modern plants operate under dynamic conditions that demand real-time quality assessment. Here, exploiting a comprehensive two-year operational dataset from an industrial cement plant, we present a machine learning framework that accurately predicts clinker mineralogy from process data. Our model achieves unprecedented prediction accuracy for major clinker phases while requiring minimal input parameters, demonstrating robust performance under varying operating conditions. Through post-hoc explainable algorithms, we interpret the hierarchical relationships between clinker oxides and phase formation, providing insights into the functioning of an otherwise black-box model. This digital twin framework can potentially enable real-time optimization of cement production, thereby providing a route toward reducing material waste and ensuring quality while reducing the associated emissions under real plant conditions. Our approach represents a significant advancement in industrial process control, offering a scalable solution for sustainable cement manufacturing.","url":"https://doi.org/10.48550/arxiv.2412.11981","authors":["Fayaz, Sheikh Junaid","Montiel-Bohorquez, Nestor","Bishnoi, Shashank","Romano, Matteo","Gatti, Manuele","Krishnan, N. M. Anoop"],"tags":["Machine Learning (cs.LG)","Materials Science (cond-mat.mtrl-sci)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.11981","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.17632/zhm6t5vdpm.1","name":"Supplementary materials for Ph.D. thesis \"AI Digital Twin of Roll-to-Roll Printing System for Autonomous Manufacturing\"","source":"datacite","abstract":"The supplementary materials demonstrate the autonomous Bayesian optimization of a proportional-integral (PI) web tension controller through a Digital Twin (DT) of a roll-to-roll (R2R) manufacturing system. The operation is conducted on the DT computer, which communicates with the Physical Twin (PT), i.e., the R2R manufacturing system, via the OPC UA protocol and the web tension step response is displayed using DT operation module. Additionally the step response file is collected via SFTP communication. In each iteration, the Bayesian optimization algorithm suggests new values for the proportional (Kp) and integral (Ki) controller gains based on the results of previous experiments. The step response data is then processed to extract key dynamic control characteristics, including time constant, overshoot, and settling time. These characteristics are combined into a quality score as a weighted sum, which is used in Gaussian process modeling. The updated model is subsequently used to query new Kp and Ki gains through the Expected Improvement acquisition function. This real-time communication and model updating optimize the control of the R2R system. The video playback speed of the Supplementary video S1 is increased by a factor of 10.","url":"https://doi.org/10.17632/zhm6t5vdpm.1","authors":["Gafurov, Anton"],"tags":["Computer-Aided Manufacturing","Flexible Substrate","Digital Twin Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17632/zhm6t5vdpm.1","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2412.13939","name":"Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey","source":"datacite","abstract":"In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation abilities to predict, refine, and interpret conditions and operations, where it is crucial to emphasize a heightened concentration on the associated security and privacy risks. To be more specific, the adoption of digital twins in the manufacturing industry relies on integrating technologies like cyber-physical systems, the Industrial Internet of Things, virtualization, and advanced manufacturing. The interactions of these technologies give rise to numerous security and privacy vulnerabilities that remain inadequately explored. Towards that end, this paper analyzes the cybersecurity threats of digital twins for advanced manufacturing in the context of data collection, data sharing, machine learning and deep learning, and system-level security and privacy. We also provide several solutions to the threats in those four categories that can help establish more trust in digital twins.","url":"https://doi.org/10.48550/arxiv.2412.13939","authors":["Zemskov, Alexander D.","Fu, Yao","Li, Runchao","Wang, Xufei","Karkaria, Vispi","Tsai, Ying-Kuan","Chen, Wei","Zhang, Jianjing","Gao, Robert","Cao, Jian","Loparo, Kenneth A.","Li, Pan"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.13939","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2024-09327","name":"Nonlinear model predictive control in continuous pharmaceutical production of solid dosage forms","source":"datacite","abstract":"The pharmaceutical industry's recent shift from traditional batch to dynamic continuous production has driven a significant technological leap, necessitating advancements across various fields. Central to this transformation is the need for real-time monitoring, analysis, and control in continuous pharmaceutical production. Ensuring product quality in this dynamic context presents challenges due to the nonstandard phenomena associated with continuous production, such as the stochastic and nonlinear nature of particle flow in solid dosage manufacturing. Furthermore, these processes involve infinite-dimensional dynamics, due to the spatio-temporal dependence of flowing materials. Classical methods often fail to capture these complexities, resulting in discrepancies during practical application and ineffective/restricted monitoring and control strategies. In recent decades, the field of distributed parameter modeling and control has shown considerable potential for improvement compared to classical methods. However, these models are often built on restrictive assumptions and are computationally very demanding. This poses challenges for their practical utilization for monitoring, observation, and control. This work addresses these gaps by exploiting various theories and methods from Machine Learning (ML), distributed parameter modeling, model order reduction, chemical engineering, numerical methods, and model-based control and observation. The work introduces a novel digital twin framework for real-time monitoring and control of spatio-temporally distributed Critical Quality Attributes (CQAs) in the continuous production of solid dosage forms, focusing specifically on the wet granulation and drying stages represented by the QbCon®1 unit. The proposed solution combines ML with model-based control and estimation techniques, offering a comprehensive approach to monitoring and control of particle flow systems. An ensemble-based ML approach is developed for moisture content determination using near-infrared spectroscopy, significantly enhancing accuracy (at least a statistical $n$-factor reduction in mean square error (MSE) expectation for an $n$-models ensemble), robustness, and reliability (over 70% inference success probability even for extreme cases with up to 60% failure of the models in the ensemble). This method is key to establishing a reliable real-time CQA feedback loop. A novel gray-box modeling approach for particle flow is then proposed, integrating first-principle distributed parameter model with ML extensions (Gaussian Processes), offering a detailed methodology for identifying and constructing elusive particle flow dependencies. The approach shows significant experimental efficiency compared to traditional extensive Design of Experiments (DoE), also maintaining high accuracy in material tracing (residence time distribution (RTD) prediction normalized MSE below 14% for extrapolated points and below 2% for inner points, with experimental RTDs staying within predicted uncertainty) and CQA prediction (mean error below 0.6%). To meet the computational demands of real-time applications while preserving the model's accuracy and structure, a tailored model order reduction technique is developed and validated (normalized MSE below 7% in extreme cases, with CPU time speedup up to 40x). The developed model is utilized for the design of an Extended Kalman Filter (EKF) observer and a Nonlinear Model Predictive Controller (NMPC), both validated through simulations and experiments, achieving monitoring and control goals while meeting real-time requirements with milliseconds order of magnitude computation times. The results highlight how the proposed modeling strategy, integrating ML, model reduction, estimation, and control techniques, enables a revolutionary Quality by Control (QbC) principle in continuous pharmaceutical manufacturing.","url":"https://doi.org/10.18154/rwth-2024-09327","authors":["Elkhashap, Ahmed Yousry Abdellatif Elsaid"],"tags":["Hochschulschrift","continuous pharmaceutical manufacturing ; model-based control ; observer design ; controller design ; continuous pharmaceutical production ; real-time monitoring ; real-time control ; continuous manufacturing ; particle flow ; distributed parameter systems ; machine learning ; model order reduction ; quality by control ; critical quality attributes ; near-infrared spectroscopy ; ensemble regression ; moisture content prediction ; extended Kalman filter ; nonlinear model predictive control ; wet granulation and drying ; Gaussian process regression ; residence time distribution ; material tracing ; spatio-temporal dynamics ; design of experiments ; Qbcon1 ; digital-twin ; industry 4.0"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18154/rwth-2024-09327","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2412.03295","name":"Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs","source":"datacite","abstract":"A digital twin is a virtual representation that accurately replicates its physical counterpart, fostering bi-directional real-time data exchange throughout the entire process lifecycle. For Laser Directed Energy Deposition of Wire (DED-LB/w) additive manufacturing processes, digital twins may help to control the residual stress design in build parts. This study focuses on providing faster-than-real-time and highly accurate surrogate models for the formation of residual stresses by employing neural ordinary differential equations. The approach enables accurate prediction of temperatures and altered structural properties like stress tensor components. The developed surrogates can ultimately facilitate on-the-fly re-optimization of the ongoing manufacturing process to achieve desired structural outcomes. Consequently, this building block contributes significantly to realizing digital twins and the first-time-right paradigm in additive manufacturing.","url":"https://doi.org/10.48550/arxiv.2412.03295","authors":["Kannapinn, Maximilian","Roth, Fabian","Weeger, Oliver"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Computational Physics (physics.comp-ph)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.03295","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2024-03072","name":"Hybride Zwillinge für die Entwicklung und den Betrieb von Robotik-Anwendungen","source":"datacite","abstract":"The concept of the twin became a central structuring element during the fourth industrial revolution. The term serves as a tool to mirror objects between the real world and the information world. The digital twin (DT) takes on crucial roles during the various phases of a robotic system's life cycle by replicating the real system, the real twin (RT), in cyber space as required. Two distinct DT variants emerge in the application spectrum. On the one hand, the DT lays the foundation for the use of advanced data processing methods during the engineering phase, allowing robotic systems to be designed more efficiently and flexibly at the same time. These methods are primarily used for the planning, analysis and optimization of systems and are based on physically correct simulation models. On the other hand, DTs aggregate and process a large amount of operational data throughout production in order to identify system states and interpret their progress. Among other things, specimens of this DT variant are essential for the analysis, prediction and evaluation of events in the context of predictive maintenance. However, the still widespread separation of engineering and operation means that information and knowledge is only insufficiently exchanged between the life cycle phases and the potential of a robotic system is therefore not exploited in full. Instead, an end-to-end methodology is required in order to use the DT as an integral element of modern robotic systems, which incorporates comprehensive knowledge about the system from both the engineering and operation phases into the control architecture. This way, the knowledge accumulated in the DT is available to the facility throughout its entire life cycle in order to act as an intelligent system. For the realization, it is essential to consider the DT and RT as one single entity --- the hybrid twin (HT) --- rather than two separate entities. The concept for the HT elaborated in this dissertation evolves the DT into an integral part of a modern reference architecture for advanced robotics applications. In particular, this approach pursues the goal of expanding the common practice of robot-centered programming of rigid process sequences of individual actuators to a holistic view of a system as a DT. The DT provides the knowledge required for context-sensitive information processing in order to react to events within the system in real time and actively influence the behavior of the RT. This feedback loop from the RT to the DT is what enables intelligent cyber-physical systems to be realized on the basis of an innovative implementation of the Sense-Think-Act cycle by comprehensively incorporating digital information. Due to the convergence of virtuality and reality, the HT offers new opportunities to develop, commission, and operate robotic systems. For the first time, the DT is being used consistently as part of a lifecycle-spanning DT-based systems engineering methodology. A comprehensive toolbox is now available for the realization of robotic applications, permitting ideas to be quickly implemented and tested virtually. The virtual components are then gradually replaced by their physical counterparts. This reduces the implementation effort and shortens lengthy development cycles, enabling HT to meet the requirements of current key technologies of Industry 4.0, such as the integration of modern machine learning methods. The central result of this dissertation is an architecture for hybrid twins, realizing intelligent cyber-physical systems by fusing DT and RT. To implement the innovative DT-supported Sense-Think-Act platform, hybrid twins integrate a simulation-based, real-time capable runtime environment for DT as well as suitable communication technologies for the interaction with the sensors and actuators of the associated RT. By integrating hybrid twins into the Reference Architecture Model Industry 4.0, a reference architecture and a cross-lifecycle methodology for the technica","url":"https://doi.org/10.18154/rwth-2024-03072","authors":["Priggemeyer, Marc"],"tags":["621.3","Robotik","Simulation","cyber-physical System","cyber-physisches System","digital twin","digitaler Zwilling","hybrid twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18154/rwth-2024-03072","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2412.00209","name":"Digital Twin in Industries: A Comprehensive Survey","source":"datacite","abstract":"Industrial networks are undergoing rapid transformation driven by the convergence of emerging technologies that are revolutionizing conventional workflows, enhancing operational efficiency, and fundamentally redefining the industrial landscape across diverse sectors. Amidst this revolution, Digital Twin (DT) emerges as a transformative innovation that seamlessly integrates real-world systems with their virtual counterparts, bridging the physical and digital realms. In this article, we present a comprehensive survey of the emerging DT-enabled services and applications across industries, beginning with an overview of DT fundamentals and its components to a discussion of key enabling technologies for DT. Different from literature works, we investigate and analyze the capabilities of DT across a wide range of industrial services, including data sharing, data offloading, integrated sensing and communication, content caching, resource allocation, wireless networking, and metaverse. In particular, we present an in-depth technical discussion of the roles of DT in industrial applications across various domains, including manufacturing, healthcare, transportation, energy, agriculture, space, oil and gas, as well as robotics. Throughout the technical analysis, we delve into real-time data communications between physical and virtual platforms to enable industrial DT networking. Subsequently, we extensively explore and analyze a wide range of major privacy and security issues in DT-based industry. Taxonomy tables and the key research findings from the survey are also given, emphasizing important insights into the significance of DT in industries. Finally, we point out future research directions to spur further research in this promising area.","url":"https://doi.org/10.48550/arxiv.2412.00209","authors":["Zami, Md Bokhtiar Al","Shaon, Shaba","Quy, Vu Khanh","Nguyen, Dinh C."],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.00209","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.15131/shef.data.16669315","name":"A Vision Data Repository for Human-UR10 Robot Interactions in Manufacturing","source":"datacite","abstract":"This repository contains images and videos collected when an operator is interacting with an UR10 robot platform. The platform includes both real datasets from UR10 and synthetic datasets created with a Digital Twin software.The dataset is used in the paper of \" A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing \", published in Robotics and Computer-Integrated Manufacturing. This data repository could be used for the purpose of object detection, classification and segmentation.","url":"https://doi.org/10.15131/shef.data.16669315","authors":["Zhang, Jingqiong","Wang, Shenglin","Wang, Peng","Mihaylova, Lyudmila","Law, James","Calinescu, Radu"],"tags":["Control engineering, mechatronics and robotics not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15131/shef.data.16669315","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14247827","name":"Evaluating the potential of Digital Twin technology on pharmaceutical  manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation","source":"datacite","abstract":"The dissertation titled \"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation\" explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance. Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency. This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.","url":"https://doi.org/10.5281/zenodo.14247827","authors":["Gopakumar, Gayathri"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14247827","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14247828","name":"Evaluating the potential of Digital Twin technology on pharmaceutical  manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation","source":"datacite","abstract":"The dissertation titled \"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation\" explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance. Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency. This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.","url":"https://doi.org/10.5281/zenodo.14247828","authors":["Gopakumar, Gayathri"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14247828","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.17023/zzee-et90","name":"The Application of Simulation and Artificial Intelligence in Advanced Packaging (video)","source":"datacite","abstract":"Advanced Packaging enables heterogeneous integration of chiplets with die-embedding and die-stacking techniques, and provides maximum device performance with a much faster product development cycle. However, as the 2.5D and 3D packages are getting more and more complicated, it is very challenging to ramp the yield and assure the reliability of new products within this short timeline using conventional methods. Artificial Intelligence (AI)-assisted design co-optimization, manufacturing process simulation and monitoring, yield enhancement, reliability assurance, and failure mode prediction, which were developed for Si fabrication, could be employed to shorten the advanced packaging development cycle. This presentation summarizes the current status for the various applications of simulation and AI in advanced packaging. Further development trends are highlighted with the goal of providing a holistic and robust virtual representation, or digital twin, for advanced packaging.","url":"https://doi.org/10.17023/zzee-et90","authors":["Dr. Yan Li"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17023/zzee-et90","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.17023/r8fn-8t55","name":"The Application of Simulation and Artificial Intelligence in Advanced Packaging (video)","source":"datacite","abstract":"Advanced Packaging enables heterogeneous integration of chiplets with die-embedding and die-stacking techniques, and provides maximum device performance with a much faster product development cycle. However, as the 2.5D and 3D packages are getting more and more complicated, it is very challenging to ramp the yield and assure the reliability of new products within this short timeline using conventional methods. Artificial Intelligence (AI)-assisted design co-optimization, manufacturing process simulation and monitoring, yield enhancement, reliability assurance, and failure mode prediction, which were developed for Si fabrication, could be employed to shorten the advanced packaging development cycle. This presentation summarizes the current status for the various applications of simulation and AI in advanced packaging. Further development trends are highlighted with the goal of providing a holistic and robust virtual representation, or digital twin, for advanced packaging.","url":"https://doi.org/10.17023/r8fn-8t55","authors":["Dr. Yan Li"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17023/r8fn-8t55","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2024-00971","name":"Digital twin methodology for the automated fiber placement with in-situ consolidation of thermoplastic tape; 1. Auflage","source":"datacite","abstract":"The automated fiber placement (AFP) process of thermoplastic tape with in-situ consolidation is a promising technology to enable a resource-efficient production of load-optimized, near-net shape lightweight parts. However, it is prone to difficult processing due to its complexities and interacting parameters. This results in time-consuming experiments generating a lot of resource-consuming waste. To prevent this from happening and to make the production process more resource-efficient and simpler, a realistic process modeling within a digital twin can be a solution. For this reason, this thesis develops a methodology for a digital twin for the AFP process of thermoplastic, tailored composites blanks. In the last decades, a vast process knowledge has been gained in research offering a bouquet of validated modeling solutions for the AFP process. Within this thesis, a detailed study leads to the selection of adequate models for the transfer into a digital twin. The temperature evolution within the laminate during processing is a crucial characteristic. It strongly influences the quality of the final part. Quality indicators, such as the consolidation degree and crystallization ratio, are based on well-established analytical models. A first feasibility study of applying these models to gain a more part-oriented, realistic model shows the potentials for the digital twin. Based on its findings, a digital twin is proposed by specifying the required information, the suitable models as well as additional partoriented characteristics, such as the path-dependent cooling time. An experimental validation of the proposed digital twin is conducted on the AFP production system, PrePro2D®. Due to is fully integrated hardware, the system allows to smoothly assess, synchronize, and store all relevant data without the need of further data preparation. Although various material characteristics are taken from literature, the validation shows good agreement with the digital twin prediction. However, it also gives insight into the gaps of the model. The aggregation of information to capture a holistic process view still incorporates many underlying assumptions. This thesis summarizes with an overview of solutions improving the prediction quality of the digital twin. In conclusion, this dissertation elaborates a new solution space for complex manufacturing problems of the FRP industry with the help of digitization.","url":"https://doi.org/10.18154/rwth-2024-00971","authors":["Schulz, Malena Barbara"],"tags":["620","automated fiber placement","digital twin","in-situ consolidation","thermoplastics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18154/rwth-2024-00971","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2024-10669","name":"Layer-based information model for 5-axis milling processes using a GraphQL schema","source":"datacite","abstract":"17. CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023, Ischia, Italy, 12 Jul 2023 - 14 Jul 2023; Procedia CIRP 126, 384-389 (2024). doi:10.1016/j.procir.2024.08.381 special issue: \"17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / Edited by Roberto Teti Prof.\"","url":"https://doi.org/10.18154/rwth-2024-10669","authors":["Rudel, Viktor","Wichter, David","Schiller, Sven","Vinogradov, Georg","Müller, Aleksandra","Ganser, Philipp","Bergs, Thomas"],"tags":["670","5-axis milling","Computer Aided Manufacturing (CAM)","GraphQL","Information model","ZSPNTF100","blisk","data model"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18154/rwth-2024-10669","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.18154/rwth-2023-12291","name":"A simulative approach to efficient microstructure optimisation: identifying microstructural influences on the damage properties of dualphase steels","source":"datacite","abstract":"The optimisation of materials and processes has sped up the development of technologies, production and infrastructure tremendously. Steel is historically one of the most important materials, for the manufacturing of many components, reaching from infrastructure (e.g. railways, bridges), to intricate machinery. Thus, a lot of effort already went into optimizing steel as a material. From these improvements new material classes inside the overarching steel material were created; e.g. structural steels, advanced high strength steels (AHSS), medium manganese steels (MMnS), tool steels, to only name a few. In recent years the optimisation has expanded from simply adapting the mechanical properties for specific application towards including sustainability and ecological factors. For this reason, steels have become more specific towards their application field, as lightweight construction plays a very important role in the reduction of CO2 emission and therefore in the ecological impact components have. The optimisation process accelerated with the implementation of digital tools, such as computer based finite element simulations. They started out as simple elastic/plastic idealised simulations but became more sophisticated as computational power began to increase. This led to material models that describe the flow behaviour as well as the damage induced softening accurately. In recent years the microstructure of materials became a focus of optimisation, as it is extremely influential on mechanical and damage properties of a material. Again, the digitalisation of all processes showed to yield promising results and statistically representative volume elements (sRVE) became a key research topic that aimed at representing the microstructure digitally [1]. Even the 2021 elected German government realised the potential of the utilisation of digital twins or shadows, like the sRVEs are, of the material and has stipulated the promotion of these processes in the coalition agreement [2]. However, for these highly specialised steels, mentioned above, the microstructure has become increasingly complex, utilizing multiple different crystallographic phases, as well as specific heat treatments to reach the desired microstructure of the material and with it the desired usability and mechanical properties. So, to tailor the microstructure further for a specific process, it is imperative to first recreate the microstructure as a digital twin or shadow through the means of sRVE. These sRVEs are not accurate representations of images of the real microstructure, but instead apply statistical descriptions of the material to represent it virtually. Substantial progress was made in the precise recreation of the microstructures from the simple two-dimensional sRVE [3] towards more sophisticated approaches like newer versions of DREAM.3D (e.g. version 6.5.163) [4]. However even with the newer virtual microstructure construction algorithms lack the possibility to incorporate all features, as well as truly realistic grain shapes. Additionally, the input data for these statistically representative models has to be gathered from microstructure images. To then generate the input data necessary for a realistic sRVE, simple distribution functions are usually applied. However, this omits the fact that there are multiple interactions between the microstructure 2 parameters at work. In this work, these missing key components were developed to develop a method for accurate microstructure representation. The focus for this step was more on the input generation, while the microstructure representation was the key focus of a co-author. To allow for an optimization of the microstructure a coherent method must be developed. This is the aim of this work: To provide a method and pathway for efficient microstructure optimisation. Thus, the research hypothesis is as follows: For efficient microstructure optimisation, digital tools have to be applied and a thorough understanding","url":"https://doi.org/10.18154/rwth-2023-12291","authors":["Bexter, Felix"],"tags":["620"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18154/rwth-2023-12291","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14202401","name":"Data management plan","source":"datacite","abstract":"Flex4Res aims to create an open platform for resilient manufacturing value chains through trusted data sharing. The project is based on Gaia-X and IDS technologies and utilizes the Digital Twin concept to enable reconfiguration processes in flexible production systems and networks.This deliverable describes thr methodology for Data Managment Plan (DMP) that will be emplied to Flex4Res project. This is the first deliverable (D7.3) of Work Package 7 (WP7) for the Flex4Res project. The methodology that is described aims to protect the data collected or/and generated during the project’s activities and make them FAIR as well. The D7.3 is delivered in M06 of the Flex4Res project, and is udpated based on the latest infiomrtaion avaliable up to the month of delivery.","url":"https://doi.org/10.5281/zenodo.14202401","authors":["Laboratory for Manufacturing Systems & Automation (LMS)"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14202401","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14202402","name":"Data management plan","source":"datacite","abstract":"Flex4Res aims to create an open platform for resilient manufacturing value chains through trusted data sharing. The project is based on Gaia-X and IDS technologies and utilizes the Digital Twin concept to enable reconfiguration processes in flexible production systems and networks.This deliverable describes thr methodology for Data Managment Plan (DMP) that will be emplied to Flex4Res project. This is the first deliverable (D7.3) of Work Package 7 (WP7) for the Flex4Res project. The methodology that is described aims to protect the data collected or/and generated during the project’s activities and make them FAIR as well. The D7.3 is delivered in M06 of the Flex4Res project, and is udpated based on the latest infiomrtaion avaliable up to the month of delivery.","url":"https://doi.org/10.5281/zenodo.14202402","authors":["Laboratory for Manufacturing Systems & Automation (LMS)"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14202402","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14186388","name":"ARTIFICIAL INTELLIGENCE IN ADVANCED PROCESS OPTIMIZATION AND SMART MANUFACTURING SYSTEMS","source":"datacite","abstract":"Industrial systems engineering is undergoing a significant transformation driven by the advent of intelligenttechnologies that enable smarter, more efficient, and sustainable operations. In the context of Industry 4.0,advanced computational models are reshaping traditional methods, addressing challenges in scalability,adaptability, and operational precision. This article explores the integration of data-driven solutions into industrialprocesses, focusing on their impact on predictive analytics, autonomous production, and adaptive quality controlframeworks. From a broader perspective, the fusion of advanced technologies has elevated decision intelligenceacross sectors. Predictive analytics has emerged as a cornerstone, utilizing machine learning techniques toanticipate equipment failures, optimize resource allocation, and enhance supply chain efficiency. Autonomousproduction systems leverage real-time decision-making through reinforcement learning and neural networks,enabling cost reductions and scalable operations. Digital twin technologies, bridging the physical and virtualrealms, allow iterative design, testing, and scenario planning to reduce risk and improve resource utilization.Narrowing the scope, adaptive quality control frameworks integrate computer vision and IoT-enabled systems toidentify defects and ensure consistency across manufacturing processes. Beyond individual applications, thesetechnologies foster cross-sector interoperability, creating resilient supply chains and supporting sustainablepractices. Challenges related to data integrity, transparency, and workforce integration are addressed, highlightingthe importance of ethical implementation and regulatory compliance. This comprehensive analysis underscoresthe transformative potential of integrating intelligent systems into industrial operations. By emphasizingcollaboration, scalability, and sustainability, this article provides a roadmap for stakeholders to adopt forwardlooking strategies, enabling more innovative and responsible industrial ecosystems","url":"https://doi.org/10.5281/zenodo.14186388","authors":["Akinsuyi Samson Ayomide","Ebubechukwu Ozurumba"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14186388","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14186387","name":"ARTIFICIAL INTELLIGENCE IN ADVANCED PROCESS OPTIMIZATION AND SMART MANUFACTURING SYSTEMS","source":"datacite","abstract":"Industrial systems engineering is undergoing a significant transformation driven by the advent of intelligenttechnologies that enable smarter, more efficient, and sustainable operations. In the context of Industry 4.0,advanced computational models are reshaping traditional methods, addressing challenges in scalability,adaptability, and operational precision. This article explores the integration of data-driven solutions into industrialprocesses, focusing on their impact on predictive analytics, autonomous production, and adaptive quality controlframeworks. From a broader perspective, the fusion of advanced technologies has elevated decision intelligenceacross sectors. Predictive analytics has emerged as a cornerstone, utilizing machine learning techniques toanticipate equipment failures, optimize resource allocation, and enhance supply chain efficiency. Autonomousproduction systems leverage real-time decision-making through reinforcement learning and neural networks,enabling cost reductions and scalable operations. Digital twin technologies, bridging the physical and virtualrealms, allow iterative design, testing, and scenario planning to reduce risk and improve resource utilization.Narrowing the scope, adaptive quality control frameworks integrate computer vision and IoT-enabled systems toidentify defects and ensure consistency across manufacturing processes. Beyond individual applications, thesetechnologies foster cross-sector interoperability, creating resilient supply chains and supporting sustainablepractices. Challenges related to data integrity, transparency, and workforce integration are addressed, highlightingthe importance of ethical implementation and regulatory compliance. This comprehensive analysis underscoresthe transformative potential of integrating intelligent systems into industrial operations. By emphasizingcollaboration, scalability, and sustainability, this article provides a roadmap for stakeholders to adopt forwardlooking strategies, enabling more innovative and responsible industrial ecosystems","url":"https://doi.org/10.5281/zenodo.14186387","authors":["Akinsuyi Samson Ayomide","Ebubechukwu Ozurumba"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14186387","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.15480/882.13365","name":"Digital twins in aircraft production and MRO : challenges and opportunities","source":"datacite","abstract":"The digital twin (DT) concept, value-adding connecting the real and digital world, has been a rising trend in recent years, while the implementation and observation of challenges are still subject to research. Implementations of holistic Digital Twins of tangible and intangible assets of complex products or processes are often ideal-theoretic; instead, only subsystems and processes are replicated, which digital representations serve specific, meaningful applications. Specifically, with its distinct characteristics, the aviation industry and its production show various future application scenarios, which we use case-driven outline in this work. Therefore, we first summarize common, industry-neutral challenges of implementing Digital Twins and give an overview of aircraft production characteristics. Then, we will outline different fields of utilizing the Digital Twin concept and highlight integrational, organizational, and compliance-related challenges as well as opportunities in the context of aircraft production and Maintenance, Repair, and Overhaul (MRO). The use cases are located at different aircraft life cycle phases, from production system development, production supplying logistics, and Quality Assurance (QA) up to retrofit.","url":"https://doi.org/10.15480/882.13365","authors":["Moenck, Keno","Rath, Jan-Erik","Koch, Julian","Wendt, Arne","Kalscheuer, Florian","Schüppstuhl, Thorsten","Schoepflin, Daniel"],"tags":["Aircraft","Assembly","Challenges","Digital twin","Manufacturing","MRO","Opportunities","Production"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15480/882.13365","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.57996/cran.ceres-2579","name":"Causal AI-powered Digital Product Passports for enabling a circular and sustainable manufacturing ecosystem","source":"datacite","abstract":"Digital product passport (DPP) has been recently introduced by policymakers (e.g., the European Commission) to advance sustainable business practices towards a circular economy (CE). As a newly introduced concept, DPP is still relatively high-level and vague. Therefore, its definition, information flow architecture, what relevant information needs to be stored, and how to use such information in the context of a circular and sustainable manufacturing ecosystem, etc., are still open research questions. This paper addresses these research questions by proposing a novel conceptual framework for DPP, facilitating seamless information exchanges among CE stakeholders, and providing a transparent and trustworthy basis for decision-making. Causal AI utilisation is proposed to extract causal relationships among sustainability/circularity KPIs comprehensively, encompassing raw material supply chain, circularity-compliant product design, manufacturing optimisation on the shop floor, and after-sale product usage optimisation. Seamless information exchange will be achieved through semantic interoperability and a comprehensive model of the whole supply chain by employing an ontology model. The causal AI approach is proposed to identify causalities among KPIs and other factors to predict environmental impacts. This way, a causal model integrating domain expert knowledge and causality discovered from measured data will increase the transparency/explainability of prediction/decision made by machine learning algorithms.","url":"https://doi.org/10.57996/cran.ceres-2579","authors":["Ompusunggu, Agusmian P.","Tjahjowidodo, Tegoeh","Wicaksono, Hendro"],"tags":["Sustainability","Circularity","Manufacturing","Digital Product Passport","Causal AI","Digital Twin (DT)","Ontologies"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.57996/cran.ceres-2579","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14165427","name":"A REVIEW ON DIGITAL TWINS","source":"datacite","abstract":"Digital twins (DT) are among the most promising technologies that are propelling the digitization across a number of industries. The term \"digital twin\" (DT) describes a digital representation or duplicate of any real thing. The real-time, automatic bidirectional data interchange between digital and physical twins is what sets DT apart from simulation and other digital or CAD models. Implementing DT in any industry has several advantages, such as lower operating expenses and time, higher productivity, enhanced decision-making, better predictive maintenance. Because of the emergence of Industry 4.0, which has led to increasingly sophisticated goods and systems that rely on gathering and storing ever-increasing volumes of data, its use is anticipated to increase rapidly over the next several decades. This study examines various industrial sectors where the application of DT is utilizing these opportunities and how they are advancing the industry. Successfully connecting that data to DTs can lead to a number of new opportunities. The use of digital twins in many different sectors including aerospace, healthcare, manufacturing, education, smart cities, and the pharmaceutical industry and explain the benefits and future prospects of digital twins. Keywords: Digital twin, Industry4.0, Healthcare, Pharmaceutical industry, Manufacturing, System simulation, Predictive maintenance.","url":"https://doi.org/10.5281/zenodo.14165427","authors":["S. Mounika,  B.Swapna,  M.Guruva Reddy, Dr.K.Venugopal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14165427","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14165428","name":"A REVIEW ON DIGITAL TWINS","source":"datacite","abstract":"Digital twins (DT) are among the most promising technologies that are propelling the digitization across a number of industries. The term \"digital twin\" (DT) describes a digital representation or duplicate of any real thing. The real-time, automatic bidirectional data interchange between digital and physical twins is what sets DT apart from simulation and other digital or CAD models. Implementing DT in any industry has several advantages, such as lower operating expenses and time, higher productivity, enhanced decision-making, better predictive maintenance. Because of the emergence of Industry 4.0, which has led to increasingly sophisticated goods and systems that rely on gathering and storing ever-increasing volumes of data, its use is anticipated to increase rapidly over the next several decades. This study examines various industrial sectors where the application of DT is utilizing these opportunities and how they are advancing the industry. Successfully connecting that data to DTs can lead to a number of new opportunities. The use of digital twins in many different sectors including aerospace, healthcare, manufacturing, education, smart cities, and the pharmaceutical industry and explain the benefits and future prospects of digital twins. Keywords: Digital twin, Industry4.0, Healthcare, Pharmaceutical industry, Manufacturing, System simulation, Predictive maintenance.","url":"https://doi.org/10.5281/zenodo.14165428","authors":["S. Mounika,  B.Swapna,  M.Guruva Reddy, Dr.K.Venugopal"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.14165428","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.57955/d9a53eab-aa03-4053-9142-90b9e751fbec","name":"Digital Twin Templates for Intellectual Property Identification and Valuation in Manufacturing","source":"datacite","abstract":"Template files with proposed structure for representing intellectual property assets in digital twin format, and questionnaire for research study of IP management practices in manufacturing companies in UK and Brazil. Contains four files (+ a README file with further detail). * IP_ASSET_MODEL_TEMPLATE.xlsx - Structure developed to represent intellectual property asset in a digital twin model; Excel format. * IP_ASSET_MODEL_TEMPLATE.aasx - Structure developed to represent intellectual property asset in a digital twin model; Asset Administration Shell format. * IP_Questionnaire.xlsx - Questions pre- and post- intervention in the intellectual property management study. In both English and Portuguese. * IP_AASX_Structure.pdf - Screenshots from the Asset Administration Shell Explorer template file; shows the whole submodel structure. For illustration only (shows layout without needing to install AAS Package Explorer).","url":"https://doi.org/10.57955/d9a53eab-aa03-4053-9142-90b9e751fbec","authors":["Long, Tengfei"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.57955/d9a53eab-aa03-4053-9142-90b9e751fbec","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.48550/arxiv.2411.05286","name":"Metrology and Manufacturing-Integrated Digital Twin (MM-DT) for Advanced Manufacturing: Insights from CMM and FARO Arm Measurements","source":"datacite","abstract":"Metrology, the science of measurement, plays a key role in Advanced Manufacturing (AM) to ensure quality control, process optimization, and predictive maintenance. However, it has often been overlooked in AM domains due to the current focus on automation and the complexity of integrated precise measurement systems. Over the years, Digital Twin (DT) technology in AM has gained much attention due to its potential to address these challenges through physical data integration and real-time monitoring, though its use in metrology remains limited. Taking this into account, this study proposes a novel framework, the Metrology and Manufacturing-Integrated Digital Twin (MM-DT), which focuses on data from two metrology tools, collected from Coordinate Measuring Machines (CMM) and FARO Arm devices. Throughout this process, we measured 20 manufacturing parts, with each part assessed twice under different temperature conditions. Using Ensemble Machine Learning methods, our proposed approach predicts measurement deviations accurately, achieving an R2 score of 0.91 and reducing the Root Mean Square Error (RMSE) to 1.59 micrometers. Our MM-DT framework demonstrates its efficiency by improving metrology processes and offers valuable insights for researchers and practitioners who aim to increase manufacturing precision and quality.","url":"https://doi.org/10.48550/arxiv.2411.05286","authors":["Samadi, Hamidreza","Ahsan, Md Manjurul","Raman, Shivakumar"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.05286","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.15480/882.13618","name":"IoT-based data mining framework for stability assessment of the laser-directed energy deposition process","source":"datacite","abstract":"Additive manufacturing processes are prone to production errors. Specifically, the unique physical conditions of Laser-Directed Energy Deposition (DED-L) lead to unexpected process anomalies resulting in subpar part quality. The resulting costs and lack of reproducibility are two major barriers hindering a broader adoption of this innovative technology. Combining sensor data with data from relevant steps before and after the production process can lead to an increased understanding of when and why these process anomalies occur. In the present study, an IoT-based data mining framework is presented to assess the stability of processing Ti6Al4V on an industrial-grade DED-L machine. The framework employs an edge-cloud computing methodology to collect data efficiently and securely from various steps in the part lifecycle. During manufacturing, multiple sensors are employed to monitor the essential process characteristics in situ. Mechanical properties of the 160 printed specimens were obtained using appropriate destructive testing. All data are stored on a central database and can be accessed via the web for data analytics. The results prove the successful implementation of the proposed IoT framework but also indicate a lack of process stability during manufacturing. The occurring part errors can only be partially correlated with anomalies in the in situ sensor data.","url":"https://doi.org/10.15480/882.13618","authors":["Hartmann, Sebastian","Vykhtar, Bohdan","Möbs, Nele","Kelbassa, Ingomar","Mayr, Peter"],"tags":["additive manufacturing","digital twin","directed energy deposition","edge computing","Industry 4.0","laser metal deposition","process monitoring","sensors"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15480/882.13618","addedAt":"2026-09-01T01:47:42.185Z","updatedAt":"2026-09-01T01:47:42.185Z"},{"id":"doi:10.5281/zenodo.14001897","name":"Digital Twins for Robotics: Virtual Reality Integration for Synchronized Control, Simulation, and Optimization of Industrial Robotic Cells","source":"datacite","abstract":"This paper provides a comprehensive review of the integration of Digital Twin (DT) technology with Virtual Reality (VR) in industrial robotics, focusing on synchronized control, simulation, and optimization of robotic cells. While VR has been traditionally associated with entertainment, its application in manufacturing has grown, particularly for visualizing and simulating production processes. Digital Twins, which serve as digital replicas of physical assets, are becoming essential tools for monitoring and controlling industrial operations. This review explores various studies and approaches that utilize DT-VR integration for real-time visualization, co-simulation, and collaborative robot system design. It also highlights the potential of VR for operator training, process optimization, and resilience in factories of the future. By examining current methodologies and applications across industries, this review underscores the growing importance of DT-VR frameworks in advancing manufacturing automation and provides insights into their challenges and future directions.","url":"https://doi.org/10.5281/zenodo.14001897","authors":["Ruchik Kashyapkumar Thaker"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14001897","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.14001898","name":"Digital Twins for Robotics: Virtual Reality Integration for Synchronized Control, Simulation, and Optimization of Industrial Robotic Cells","source":"datacite","abstract":"This paper provides a comprehensive review of the integration of Digital Twin (DT) technology with Virtual Reality (VR) in industrial robotics, focusing on synchronized control, simulation, and optimization of robotic cells. While VR has been traditionally associated with entertainment, its application in manufacturing has grown, particularly for visualizing and simulating production processes. Digital Twins, which serve as digital replicas of physical assets, are becoming essential tools for monitoring and controlling industrial operations. This review explores various studies and approaches that utilize DT-VR integration for real-time visualization, co-simulation, and collaborative robot system design. It also highlights the potential of VR for operator training, process optimization, and resilience in factories of the future. By examining current methodologies and applications across industries, this review underscores the growing importance of DT-VR frameworks in advancing manufacturing automation and provides insights into their challenges and future directions.","url":"https://doi.org/10.5281/zenodo.14001898","authors":["Ruchik Kashyapkumar Thaker"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.14001898","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2403.02426","name":"Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies","source":"datacite","abstract":"Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, different thematic areas of DT have been explored. This is no different in specific fields such as manufacturing, automation, oil and gas, and civil engineering, leading to fragmented approaches for field-specific applications. The civil engineering industry is further disadvantaged in this regard as it relies on external techniques by other engineering fields for its DT adoption. A rising consequence of these extensions is a concentrated application of DT to the operations and maintenance phase. On another spectrum, Building Information Modeling (BIM) is pervasively utilized in the planning/design phase, and the transient nature of the construction phase remains a challenge for its DT adoption. In this paper, we present a phase-based development of DT in the Architecture, Engineering, and Construction industry. We commence by presenting succinct expositions on DT as a concept and as a service, and establish a five-level scale system. Furthermore, we present separately a systematic literature review of the conventional techniques employed at each civil engineering phase. In this regard, we identified enabling technologies such as computer vision for extended sensing and the Internet of Things for reliable integration. Ultimately, we attempt to reveal DT as an important tool across the entire life cycle of civil engineering projects, and nudge researchers to think more holistically in their quest for the integration of DT for civil engineering applications.","url":"https://doi.org/10.48550/arxiv.2403.02426","authors":["Adebiyi, Taiwo A.","Ajenifuja, Nafeezat A.","Zhang, Ruda"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Machine Learning (cs.LG)","Applications (stat.AP)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.02426","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2410.14934","name":"Development of a Simple and Novel Digital Twin Framework for Industrial Robots in Intelligent robotics manufacturing","source":"datacite","abstract":"This paper has proposed an easily replicable and novel approach for developing a Digital Twin (DT) system for industrial robots in intelligent manufacturing applications. Our framework enables effective communication via Robot Web Service (RWS), while a real-time simulation is implemented in Unity 3D and Web-based Platform without any other 3rd party tools. The framework can do real-time visualization and control of the entire work process, as well as implement real-time path planning based on algorithms executed in MATLAB. Results verify the high communication efficiency with a refresh rate of only $17 ms$. Furthermore, our developed web-based platform and Graphical User Interface (GUI) enable easy accessibility and user-friendliness in real-time control.","url":"https://doi.org/10.48550/arxiv.2410.14934","authors":["Xiang, Tianyi","Li, Borui","Pan, Xin","Zhang, Quan"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.14934","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.18420/inf2024_170","name":"Scalable Modeling of Preventive and Detective Security Controls for Cyber-Physical Systems","source":"datacite","abstract":"Critical infrastructure and Industry 4.0 depend heavily on Cyber-Physical Systems (CPS), necessitating significant support for cybersecurity and safety professionals throughout development and implementation. This paper explores safety measures linked to physical protection at different CPS levels and how they interact with features of the digital twin. However, digital twins require comprehensive preventative and detective procedures to ensure security. The objective is to facilitate advanced attack tree analysis. Utilizing 3D modeling to incorporate features such as tamper-indicating devices, forensic biometric security, digital CCTV/video monitoring, physical/logical zones, and graded security controls enhances the depiction of the real world. Furthermore, functional safety assessments and risk assessments are carried out. The frameworks will include Babylon JS 7.0, Vue 3.x, and Element+, enabling a tool-based method designed to help subject matter experts analyze complex security postures of CPS efficiently and consistently. This scalable method can be applied in smart manufacturing as well as large-scale plant operations.","url":"https://doi.org/10.18420/inf2024_170","authors":["Shun, Hnin Yee","Al Sardy, Loui","Waedt, Karl","Le Berre, Gabriel"],"tags":["Cyber Physical Systems","Security Controls","Digital Twin","Attack Tree Analysis","Risk Assessment","Cybersecurity","3D Modeling of Physical Protection","Babylon JS 7.0"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18420/inf2024_170","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13951019","name":"Quality Control Strategies in High-Precision Machining of Engine Components","source":"datacite","abstract":"High-precision machining plays a crucial role in manufacturing engine components, where quality control is a defining factor in ensuring these parts' reliability, performance, and longevity. Because of the several complexities inherent in the high-precision machining process, effective quality control should be applied through sophisticated inspection techniques, process control methods, and combinations with advanced technologies to help hold very tight tolerances. The paper will review various quality control approaches in high-precision machining, including in-process and post-process control, statistical process control, and the adoption of state-of-the-art technologies, including machine vision, laser scanning, and digital twin technology. It also examines the challenges in quality maintenance in high-precision machining and relays the trends that will shape the future development of quality control methodologies in this area.","url":"https://doi.org/10.5281/zenodo.13951019","authors":["Sakthivel Rasu"],"tags":["High-precision machining","quality control","engine components","in-process control","machine vision systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.13951019","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13951018","name":"Quality Control Strategies in High-Precision Machining of Engine Components","source":"datacite","abstract":"High-precision machining plays a crucial role in manufacturing engine components, where quality control is a defining factor in ensuring these parts' reliability, performance, and longevity. Because of the several complexities inherent in the high-precision machining process, effective quality control should be applied through sophisticated inspection techniques, process control methods, and combinations with advanced technologies to help hold very tight tolerances. The paper will review various quality control approaches in high-precision machining, including in-process and post-process control, statistical process control, and the adoption of state-of-the-art technologies, including machine vision, laser scanning, and digital twin technology. It also examines the challenges in quality maintenance in high-precision machining and relays the trends that will shape the future development of quality control methodologies in this area.","url":"https://doi.org/10.5281/zenodo.13951018","authors":["Sakthivel Rasu"],"tags":["High-precision machining","quality control","engine components","in-process control","machine vision systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5281/zenodo.13951018","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.7275/34368754","name":"A Digital Twin Framework for Production Planning Optimization: Applications for Make-To-Order Manufacturers","source":"datacite","abstract":"In this dissertation, we develop a Digital Twin framework for manufacturing systems and apply it to various production planning and scheduling problems faced by Make-To-Order (MTO) firms. While this framework can be used to digitally represent a particular manufacturing environment with high fidelity, our focus is in using it to generate realistic settings to test production planning and scheduling algorithms in practice. These algorithms have traditionally been tested by either translating a practical situation into the necessary modeling constructs, without discussion of the assumptions and inaccuracies underlying this translation, or by generating random instances of the modeling constructs, without assessing the limitations in accurately representing production environments. The consequence has been a serious gap between theory advancement and industry practice. The major goal of this dissertation is to develop a framework that allows for practical testing, evaluation, and implementation of new approaches for seamless industry adoption. We develop this framework as a modular software package and emphasize the practicality and configurability of the framework, such that minimal modelling effort is required to apply the framework to a multitude of optimization problems and manufacturing systems. Throughout this dissertation, we emphasize the importance of the underlying scheduling problems which provide the basis for additional operational decision making. We focus on the computational evaluation and comparisons of various modeling choices within the developed frameworks, with the objective of identifying models which are both effective and computationally efficient. In Part 1 of this dissertation, we consider a class of Production Planning and Execution problems faced by job shop manufacturing systems. In Part 2 of this dissertation, we consider a class of scheduling problems faced by manufacturers whose production system is dominated by a single operation.","url":"https://doi.org/10.7275/34368754","authors":["Mallach, Ron "],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.7275/34368754","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13885005","name":"Twin Transition in Manufacturing","source":"datacite","abstract":"Twin Transition in Manufacturing explores the intersection of green and digital transitions within the manufacturing industry. This proceeding focuses on advancements in sustainability, digitalization, and innovation across various sectors in manufacturing. Proceeding Overview Machine Tools and Production Systems This section delves into innovations within the automotive industry, particularly focusing on the transformation towards electric vehicles and digitalization of production systems. It discusses how the company is leading the way in electromobility through significant investments in gigafactories and smart production systems. Additionally, advancements in industrial intelligence and digital twins in machine tools are presented, showcasing enhanced efficiency and sustainability through artificial intelligence, automation, and innovative control technologies. Primary Shaping and Forming The focus here is on additive manufacturing, especially 3D sand printing for steel casting. This technique enables complex, lightweight designs that reduce material consumption and environmental impact. The chapter includes case studies in the mobility and automotive industries, demonstrating how bionic principles can optimize part design and reduce CO2 emissions. Furthermore, data-driven approaches are emphasized for optimizing forming processes and improving the resource efficiency of metal forming techniques. Machining This section explores the evolution of machining processes, particularly in sustainable aircraft production. It highlights advancements in simulation-based control systems for improving tool wear prediction and efficiency in machining processes. This section examines innovations like wire arc additive manufacturing and multi-axis machining, highlighting their ability to streamline processes. By integrating these technologies, manufacturers can significantly lower costs and boost productivity, especially in low-volume production runs. These advancements not only optimize material use but also enable greater flexibility and precision, making them ideal for producing complex, customized parts efficiently. Data-Driven Manufacturing The final chapter focuses on how data ecosystems are enabling greener production methods. The shared use of data, as well as advancements like the digital product passport, are paving the way for more transparent and efficient manufacturing processes. This chapter showcases how discrete event simulations are pre-validated to optimize intralogistics systems, contributing to more sustainable and streamlined manufacturing operations. These chapters collectively reflect the ongoing transformation in manufacturing, driven by a commitment to digitalization and environmental responsibility.Univ.Prof. Dipl.-Ing. Dr.techn. Friedrich BleicherDr.techn. Osman Bodur, MScAsst. Prof. Dipl.-Ing. Dr.techn. Thomas Fabian Trautner","url":"https://doi.org/10.5281/zenodo.13885005","authors":["Bleicher, Friedrich","Bodur, Osman","Trautner, Thomas"],"tags":["Twin transition","Digital Transformation","Machine Tools","Production Systems","Machining","Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13885005","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.25777/hn97-c932","name":"Mesostructure Reconstruction of Prepreg Platelet Molded Composite With Artificial Intelligence","source":"datacite","abstract":"Prepreg platelet molded composites (PPMC) are long, discontinuous fiber reinforced polymer materials. PPMC are an important subcategory of composite materials as they are processible into geometrically complex structures and can be produced via high-throughput manufacturing processes, however they have higher stiffness and strength as compared to traditional discontinuous fiber reinforced polymers. However, there is inherent randomness in the structure of PPMCs and as such, PPMC parts frequently require per part testing that is cost prohibitive. Herein, a method using artificial intelligence is proposed as a more cost-effective method of inspecting PPMC parts. Different artificial intelligence (AI) architectures are explored to solve this problem. In order to train AI models, a dataset is developed from high fidelity finite element models (FEMs) of PPMC plates. In each FEM a PPMC with a unique local material orientation morphology undergoes a temperature change of 150 °C. The thermally induced strains are extracted from the top and bottom surfaces of the plate, as is local fiber orientation distribution (FOD) data. Each AI model explored here-in uses the strain fields as an input and outputs PPMC local FOD fields. With the large datasets developed, each AI model is trained to minimize prediction error of local FOD. AI models are first deployed to predict the thickness-average FOD and do so satisfactorily. Next, AI models are developed for prediction of FOD at sub-thickness levels, and finally, an AI model is developed to predict the material orientation at the relevant mesostructural fidelity for full structural reconstruction of the PPMC plate. The mesostructure reconstruction via artificial intelligence technique is performed for an example 3D part, as well as for the digital twin of a specimen that was non-destructively scanned and translated to a FEM mesh. Further experimental and in-silico validation of the methodology are explored.","url":"https://doi.org/10.25777/hn97-c932","authors":["Larson, Richard"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.25777/hn97-c932","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.17632/4m9n7zzvwk.1","name":"Digital Twin for CNC Power Dataset","source":"datacite","abstract":"The study titled \"Digital Twin Framework with Human and Machine Intelligence for Power Consumption Prediction in CNC Machining\" utilizes the \"Digital_Twin_CNC_Dataset\" for CNC power prediction. This dataset includes extensive experiments conducted on the modified Kakino path, focusing on various cutting parameters. Here is a breakdown of the dataset: 1. Kakino_ap1: Contains experiments varying spindle speed and feed rate, with a constant depth of cut of 1. 2. Kakino_ap2: Contains experiments varying spindle speed and feed rate, with a constant depth of cut of 2. 3. Kakino_ap3: Contains experiments varying spindle speed and feed rate, with a constant depth of cut of 3. 4. Kakino_ap4: Contains experiments varying spindle speed and feed rate, with a constant depth of cut of 4. 5. Kakino_ap5: Contains experiments varying spindle speed and feed rate, with a constant depth of cut of 5. Additionally, the dataset includes: a. NC Program: Details of the specific NC program used to execute the modified Kakino path on the workpiece. b. ADT_Result: Summarized results from all cutting parameters, validating the applied digital twin formulation for specific spindle speeds and depths of cut. c. Real World: Video recordings of the cutting process in the actual machining environment. e. Virtual Simulation: Simulated environment for conducting virtual tests of the cutting process. This comprehensive dataset supports the development and validation of predictive models for power consumption in CNC machining, leveraging digital twin technology enhanced by human and machine intelligence.","url":"https://doi.org/10.17632/4m9n7zzvwk.1","authors":["Pratap, Ayush","Chou Kao, Yung","Hsiung, Pao-Ann","Sardana, Neha"],"tags":["Manufacturing","Machining","Advanced Manufacturing","Digital Twin Technology","Human Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17632/4m9n7zzvwk.1","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13891823","name":"Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation","source":"datacite","abstract":"This position paper reports on the requirements analysis within the project Battery Cell Assembly Twin (BatCAT), which develops a digital twin for battery manufacturing. The focus is on the aspects of this work that are at the intersection between semantic web technology and materials science and engineering, specifically, the co-design of the architecture of the semantic interoperability layer and the decision support system (DSS). First, visions and ideas are provided on how the architecture will look, and what technology and previous work it will be based on. Key elements to this include, on the side of the semantic technology, the Meta Object Facility (MOF) with the OntoCommons ecosystem as a meta-metamodel (MOF M3 level), a system of ontologies with OWL EL or RL expressivity as a metamodel (MOF M2 level), and a MOF M1-level model based on OO-LD. On the side of the DSS, answer set programming will be combined with multicriteria optimization (MCO), such that MCO can be applied to model parameterization and design of simulation to make best use of computational resources and data.","url":"https://doi.org/10.5281/zenodo.13891823","authors":["Horsch, Martin Thomas","Romanov, Dmytro","Valseth, Eirik","Belouettar, Salim","Córdova López, Luis Eduardo","Glutting, Johanna","Janssen, Mathijs A.","Klein, Peter","Linhart, Andreas","Seaton, Michael A.","Dypvik Sødahl, Elin","Vizcaino, Noel","Werth, Stephan","Stephan, Simon","Todorov, Ilian T.","Chiacchiera, Silvia","Al Machot, Fadi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13891823","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13132899","name":"Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation","source":"datacite","abstract":"This position paper reports on the requirements analysis within the project Battery Cell Assembly Twin (BatCAT), which develops a digital twin for battery manufacturing. The focus is on the aspects of this work that are at the intersection between semantic web technology and materials science and engineering, specifically, the co-design of the architecture of the semantic interoperability layer and the decision support system (DSS). First, visions and ideas are provided on how the architecture will look, and what technology and previous work it will be based on. Key elements to this include, on the side of the semantic technology, the Meta Object Facility (MOF) with the OntoCommons ecosystem as a meta-metamodel (MOF M3 level), a system of ontologies with OWL EL or RL expressivity as a metamodel (MOF M2 level), and a MOF M1-level model based on OO-LD. On the side of the DSS, answer set programming will be combined with multicriteria optimization (MCO), such that MCO can be applied to model parameterization and design of simulation to make best use of computational resources and data.","url":"https://doi.org/10.5281/zenodo.13132899","authors":["Horsch, Martin Thomas","Romanov, Dmytro","Valseth, Eirik","Belouettar, Salim","Córdova López, Luis Eduardo","Glutting, Johanna","Janssen, Mathijs A.","Klein, Peter","Linhart, Andreas","Seaton, Michael A.","Dypvik Sødahl, Elin","Vizcaino, Noel","Werth, Stephan","Stephan, Simon","Todorov, Ilian T.","Chiacchiera, Silvia","Al Machot, Fadi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13132899","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13132900","name":"Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation","source":"datacite","abstract":"This position paper reports on the requirements analysis within the project Battery Cell Assembly Twin (BatCAT), which develops a digital twin for battery manufacturing. The focus is on the aspects of this work that are at the intersection between semantic web technology and materials science and engineering, specifically, the co-design of the architecture of the semantic interoperability layer and the decision support system (DSS). First, visions and ideas are provided on how the architecture will look, and what technology and previous work it will be based on. Key elements to this include, on the side of the semantic technology, the Meta Object Facility (MOF) with the OntoCommons ecosystem as a meta-metamodel (MOF M3 level), a system of ontologies with OWL EL or RL expressivity as a metamodel (MOF M2 level), and a MOF M1-level model based on OO-LD. On the side of the DSS, answer set programming will be combined with multicriteria optimization (MCO), such that MCO can be applied to model parameterization and design of simulation to make best use of computational resources and data.","url":"https://doi.org/10.5281/zenodo.13132900","authors":["Horsch, Martin Thomas","Romanov, Dmytro","Valseth, Eirik","Belouettar, Salim","Córdova López, Luis Eduardo","Glutting, Johanna","Janssen, Mathijs A.","Klein, Peter","Linhart, Andreas","Seaton, Michael A.","Dypvik Sødahl, Elin","Vizcaino, Noel","Werth, Stephan","Stephan, Simon","Todorov, Ilian T.","Chiacchiera, Silvia","Al Machot, Fadi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13132900","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13353378","name":"Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation","source":"datacite","abstract":"This position paper reports on the requirements analysis within the project Battery Cell Assembly Twin (BatCAT), which develops a digital twin for battery manufacturing. The focus is on the aspects of this work that are at the intersection between semantic web technology and materials science and engineering, specifically, the co-design of the architecture of the semantic interoperability layer and the decision support system (DSS). First, visions and ideas are provided on how the architecture will look, and what technology and previous work it will be based on. Key elements to this include, on the side of the semantic technology, the Meta Object Facility (MOF) with the OntoCommons ecosystem as a meta-metamodel (MOF M3 level), a system of ontologies with OWL EL or RL expressivity as a metamodel (MOF M2 level), and a MOF M1-level model based on OO-LD. On the side of the DSS, answer set programming will be combined with multicriteria optimization (MCO), such that MCO can be applied to model parameterization and design of simulation to make best use of computational resources and data.","url":"https://doi.org/10.5281/zenodo.13353378","authors":["Horsch, Martin Thomas","Romanov, Dmytro","Valseth, Eirik","Belouettar, Salim","Córdova López, Luis Eduardo","Glutting, Johanna","Janssen, Mathijs A.","Klein, Peter","Linhart, Andreas","Seaton, Michael A.","Dypvik Sødahl, Elin","Vizcaino, Noel","Werth, Stephan","Stephan, Simon","Todorov, Ilian T.","Chiacchiera, Silvia","Al Machot, Fadi"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13353378","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.17023/3qf4-0737","name":"The Role of Digital Twins in the Digital Transformation","source":"datacite","abstract":"Digital Twins are already widely used in Manufacturing industry and they are starting to be used in several other areas, including healthcare, constructions, infrastructure operation, smart cities ? A few are also starting to consider them to mirror people, Human Digital Twins, and the European Commission has launched a group to look into the personal ownership of human digital twins (Personal Digital Twins). Furthermore, IEEE Digital Reality Initiative has been looking into the possibility of modelling knowledge through a Cognitive Digital Twin, As Digital Twins expand in characteristics and in their application they are also requiring more and more communication support. At the same time they may be used to support the operation of a telecommunication network. Researchers looking into 6G design are considering the use of Digital Twins as one of the building blocks. The talk will present the present status of use and research and provides some food for thought for people working in the telecommunication areas.","url":"https://doi.org/10.17023/3qf4-0737","authors":["Roberto Saracco"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.17023/3qf4-0737","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.17023/e0yf-w176","name":"Digital Triple: Supporting Manufacturing Engineers with Industrial Digital Twin; Beyond Vital Sign Monitor: Medical Open Innovation Platform; From BCI to BYOD: In Pursut of the Opportunities; Volumetric Audio in Metaverse","source":"datacite","abstract":"IoT World Forum 2022","url":"https://doi.org/10.17023/e0yf-w176","authors":["Bruce Yu","Shao-Wei Lu","Tomasz Zernicki"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.17023/e0yf-w176","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.17023/h1yx-c414","name":"The Future of Digital Twins","source":"datacite","abstract":"Hosted by Derrick DeKerckhove, Scientific Director at Media 2000; and Roberto Saracco, IEEE Digital Reality Co-Chair","url":"https://doi.org/10.17023/h1yx-c414","authors":["Derrick DeKerckhove","Scientific Director at Media 2000","and Roberto Saracco","IEEE Digital Reality Co-Chair"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.17023/h1yx-c414","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2409.19322","name":"Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images","source":"datacite","abstract":"In recent years, 3D models have gained popularity in various fields, including entertainment, manufacturing, and simulation. However, manually creating these models can be a time-consuming and resource-intensive process, making it impractical for large-scale industrial applications. To address this issue, researchers are exploiting Artificial Intelligence and Machine Learning algorithms to automatically generate 3D models effortlessly. In this paper, we present a novel cloud-native pipeline that can automatically reconstruct 3D models from monocular 2D images captured using a smartphone camera. Our goal is to provide an efficient and easily-adoptable solution that meets the Industry 4.0 standards for creating a Digital Twin model, which could enhance personnel expertise through accelerated training. We leverage machine learning models developed by NVIDIA Research Labs alongside a custom-designed pose recorder with a unique pose compensation component based on the ARCore framework by Google. Our solution produces a reusable 3D model, with embedded materials and textures, exportable and customizable in any external 3D modelling software or 3D engine. Furthermore, the whole workflow is implemented by adopting the microservices architecture standard, enabling each component of the pipeline to operate as a standalone replaceable module.","url":"https://doi.org/10.48550/arxiv.2409.19322","authors":["Aghilar, Potito","Anelli, Vito Walter","Trizio, Michelantonio","Di Noia, Tommaso"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.19322","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2409.12785","name":"Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability","source":"datacite","abstract":"Powder bed fusion (PBF) is an emerging metal additive manufacturing (AM) technology that enables rapid fabrication of complex geometries. However, defects such as pores and balling may occur and lead to structural unconformities, thus compromising the mechanical performance of the part. This has become a critical challenge for quality assurance as the nature of some defects is stochastic during the process and invisible from the exterior. To address this issue, digital twin (DT) using machine learning (ML)-based modeling can be deployed for AM process monitoring and control. Melt pool is one of the most commonly observed physical phenomena for process monitoring, usually by high-speed cameras. Once labeled and preprocessed, the melt pool images are used to train ML-based models for DT applications such as process anomaly detection and print quality evaluation. Nonetheless, the reusability of DTs is restricted due to the wide variability of AM settings, including AM machines and monitoring instruments. The performance of the ML models trained using the dataset collected from one setting is usually compromised when applied to other settings. This paper proposes a knowledge transfer pipeline between different AM settings to enhance the reusability of AM DTs. The source and target datasets are collected from the National Institute of Standards and Technology and National Cheng Kung University with different cameras, materials, AM machines, and process parameters. The proposed pipeline consists of four steps: data preprocessing, data augmentation, domain alignment, and decision alignment. Compared with the model trained only using the source dataset, this pipeline increased the melt pool anomaly detection accuracy by 31% without any labeled training data from the target dataset.","url":"https://doi.org/10.48550/arxiv.2409.12785","authors":["Xie, Jiarui","Yang, Zhuo","Hu, Chun-Chun","Yang, Haw-Ching","Lu, Yan","Zhao, Yaoyao Fiona"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.12785","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13830290","name":"Supplementary material : Improving Process Yield through Manufacturing Digital Twin using Conditional Synthetic Data Engine (COSYNE)","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.13830290","authors":["Chandra, Shantanu","Duvinage, Matthieu","Prakash, PKS","Davis, Patrick","Timmer, Sander"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13830290","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13830291","name":"Supplementary material : Improving Process Yield through Manufacturing Digital Twin using Conditional Synthetic Data Engine (COSYNE)","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.13830291","authors":["Chandra, Shantanu","Duvinage, Matthieu","Prakash, PKS","Davis, Patrick","Timmer, Sander"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13830291","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2409.10784","name":"Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing","source":"datacite","abstract":"As the manufacturing industry shifts from mass production to mass customization, there is a growing emphasis on adopting agile, resilient, and human-centric methodologies in line with the directives of Industry 5.0. Central to this transformation is the deployment of digital twins, a technology that digitally replicates manufacturing assets to enable enhanced process optimization, predictive maintenance, synthetic data generation, and accelerated customization and prototyping. This chapter delves into the technologies underpinning the creation of digital twins specifically tailored to agile manufacturing scenarios within the realm of robotic automation. It explores the transfer of trained policies and process optimizations from simulated settings to real-world applications through advanced techniques such as domain randomization, domain adaptation, curriculum learning, and model-based system identification. The chapter also examines various industrial manufacturing automation scenarios, including bin-picking, part inspection, and product assembly, under Sim2Real conditions. The performance of digital twin technologies in these scenarios is evaluated using practical metrics including data latency, adaptation rate, simulation fidelity among others reported, providing a comprehensive assessment of their efficacy and potential impact on modern manufacturing processes.","url":"https://doi.org/10.48550/arxiv.2409.10784","authors":["Katyara, Sunny","Sharma, Suchita","Damacharla, Praveen","Santiago, Carlos Garcia","Dhirani, Lubina","Chowdhry, Bhawani Shankar"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.10784","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.26265/polynoe-7226","name":"Simulation of filament winding in Simulink and mechanical modeling","source":"datacite","abstract":"The filament winding method has been widely used since the 1960s for manufacturing complex structures such as pipes, shafts, and pressure vessels. This method enables the production of lightweight and durable structures with excellent weight-to-strength ratios. It involves winding high-strength fibers, which may or may not be impregnated with epoxy resin, at various angles onto a cylindrical surface (mandrel) to form composite constructions. Over the years, scientists have sought to optimize this process by understanding its underlying principles and analyzing how material parameters and characteristics affect the final product. The goal of this diploma thesis is to optimize the filament winding process by developing a digital twin. In recent years, many companies have embraced digital twin technology to enhance their products and processes. By combining digital twin technology with filament winding, we aim to manufacture improved composite products and optimize the filament winding process by reducing errors and predicting potential future failures. This project utilizes MATLAB code to generate results based on various input data, including mechanical properties of materials, fiber winding angles, and geometric characteristics. Additionally, Simulink is used to visually represent the manufacturing process of composite parts. Moreover, geometrical model is built in a CAD program utilizing MATLAB results, for transferring the geometry to a commercial fine element program Ansys. Finaly, complex pieces using finite element analysis.","url":"https://doi.org/10.26265/polynoe-7226","authors":["Χριστόπουλος, Παναγιώτης"],"tags":["Filament Windig","Digital twin","MATLAB","Simulink","Composites parts","Fibers","Epoxy resin","Finite element methods"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.26265/polynoe-7226","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.6084/m9.figshare.25983448.v1","name":"Human-robot collaboration assembly personalised safety detection method based on digital twin","source":"datacite","abstract":"Human-robot collaboration (HRC) in assembly is becoming increasingly popular in the field of intelligent manufacturing. However, safety concerns remain the most critical issue to be addressed. The complex assembly environment and the individual differences of workers make it challenging to ensure safety effectively. Furthermore, the concept of human-centric manufacturing also places higher requirements on safety and efficiency of HRC assembly. The application of digital twin (DT) technology has bolstered the cognitive and decision-making capabilities in the context of HRC assembly. This technological advancement provides essential support for addressing safety concerns in HRC assembly processes guided by a human-centric approach. A personalised safety detection method for HRC assembly based on DT technology is proposed. This approach involves personalised modelling and simulation of real objects within the HRC process, establishing a collision detection model based on skeleton points. Subsequently, human motion prediction methods drive safety monitoring between humans and robots. Ultimately, personalised safety warning strategies are applied to ensure the safety of the assembly process.","url":"https://doi.org/10.6084/m9.figshare.25983448.v1","authors":["Luo, Guofu","Yan, Luyao","Wang, Haoqi","Li, Hao","Wen, Xiaoyu","Liu, Gen","Zhang, Yuyan","Sun, Chunya","Yang, Wenchao","Xing, Hongwen"],"tags":["Space Science","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25983448.v1","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.6084/m9.figshare.25983448","name":"Human-robot collaboration assembly personalised safety detection method based on digital twin","source":"datacite","abstract":"Human-robot collaboration (HRC) in assembly is becoming increasingly popular in the field of intelligent manufacturing. However, safety concerns remain the most critical issue to be addressed. The complex assembly environment and the individual differences of workers make it challenging to ensure safety effectively. Furthermore, the concept of human-centric manufacturing also places higher requirements on safety and efficiency of HRC assembly. The application of digital twin (DT) technology has bolstered the cognitive and decision-making capabilities in the context of HRC assembly. This technological advancement provides essential support for addressing safety concerns in HRC assembly processes guided by a human-centric approach. A personalised safety detection method for HRC assembly based on DT technology is proposed. This approach involves personalised modelling and simulation of real objects within the HRC process, establishing a collision detection model based on skeleton points. Subsequently, human motion prediction methods drive safety monitoring between humans and robots. Ultimately, personalised safety warning strategies are applied to ensure the safety of the assembly process.","url":"https://doi.org/10.6084/m9.figshare.25983448","authors":["Luo, Guofu","Yan, Luyao","Wang, Haoqi","Li, Hao","Wen, Xiaoyu","Liu, Gen","Zhang, Yuyan","Sun, Chunya","Yang, Wenchao","Xing, Hongwen"],"tags":["Space Science","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25983448","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-4127","name":"Цифровой двойник отливки крышки цилиндров дизельного двигателя и разработка Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ сборки формы","source":"datacite","abstract":"Выпускная квалификационная работа посвящена разработке цифрового двойника отливки крышки цилиндров дизельного двигателя, а также технологического процесса сборки формы. В данной работе разрабатывается технология для изготовления отливки крышки цилиндров без ее механической обработки с использованием при этом цифрового двойника детали и программного обеспечения MAGMASOFT, специализированного для литейных процессов. Результаты моделирования будут сравниваться с опытной партией реальных отливок. Для достижения поставленной цели требуется решить ряд задач: 1. Изучить исходные данные, необходимые для разработки технологии цифрового двойника. 2. Разработать цифровой двойник в MagmaSoft для создания технологии изготовления отливки. 3. Провести анализ пробной физической отливки крышки цилиндров дизельного двигателя без предварительного учета особенностей процесса заливки материала в форму и процесса его дальнейшего охлаждения с помощью программного обеспечения MagmaSoft. 4. Скорректировать цифровой двойник после получения расчетов в программном обеспечении MagmaSoft. 5. Разработать технологию сборки формы, используя цифровой д��²Ð¾Ð¹Ð½Ð¸Ðº.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-4127","authors":["Горб, Никита"],"tags":["Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ñ отливки","дизельный двигатель","крышка цилиндров","программное обеспечение","цифровой двойник","дефекты отливки","casting technology","diesel engine"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-4127","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2408.13021","name":"Towards learning digital twin: case study on an anisotropic non-ideal rotor system","source":"datacite","abstract":"In the manufacturing industry, the digital twin (DT) is becoming a central topic. It has the potential to enhance the efficiency of manufacturing machines and reduce the frequency of errors. In order to fulfill its purpose, a DT must be an exact enough replica of its corresponding physical object. Nevertheless, the physical object endures a lifelong process of degradation. As a result, the digital twin must be modified accordingly in order to satisfy the accuracy requirement. This article introduces the novel concept of \"learning digital twin (LDT),\" which concentrates on the temporal behavior of the physical object and highlights the digital twin's capacity for lifelong learning. The structure of a LDT is first described. Then, in-depth descriptions of various algorithms for implementing each component of a LDT are provided. The proposed LDT is validated on the simulated degradation process of an anisotropic non-ideal rotor system.","url":"https://doi.org/10.48550/arxiv.2408.13021","authors":["Zhou, Zhibo","Walther, Michael","Verl, Alexander"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.13021","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13141115","name":"COMPUTER-AIDED MECHANICAL DESIGN AND ANALYSIS","source":"datacite","abstract":"In the rapidly evolving field of mechanical design, the integration of computer-aided tools has become indispensable. This book, \"Computer-Aided Mechanical Design and Analysis,\" aims to provide a comprehensive guide to the concepts, techniques, and applications of computer graphics, finite element modeling, design optimization, and case studies that leverage these technologies. The primary objectives of this book are to introduce the fundamental concepts of computer-aided design (CAD) and computer-aided engineering (CAE), present the design processes and methodologies employed in mechanical engineering, explore various design models and their practical applications, discuss the principles of 3D object representation and viewing, explain the finite element method (FEM) and its application in mechanical analysis, delve into the optimization techniques used to enhance mechanical designs, and provide real-world case studies that illustrate the application of CAD and optimization in mechanical design. The book is organized into five main sections. The first section, \"Introduction to Computer Graphics,\" lays the foundation by introducing the concepts of computer-aided design, the design process, and various design methodologies such as Beitz’s and Pahl's approach and Ohsuga’s approach. It also covers essential topics like ANSI standards, tolerance basics, and geometric tolerances. The second section, \"3D Object Representation and Viewing,\" focuses on the representation and visualization of 3D objects, including hidden line and surface removal, illumination models, and three-dimensional viewing techniques. The third section, \"Analysis Using Finite Element Models,\" delves into the finite element method, explaining mesh generation, truss definitions, boundary conditions, and the formulation of governing equations. This section provides a detailed understanding of how FEM is used for mechanical analysis. The fourth section, \"Design Optimization,\" covers optimization problems, solution techniques, and optimality conditions. It discusses both gradient-based and non-gradient-based approaches, such as genetic algorithms and simulated annealing, and their applications in practical engineering problems. The final section, \"Case Studies,\" presents case studies that demonstrate the practical application of CAD and optimization techniques. These include design automation, digital twin approaches, sustainable product design, and metal additive manufacturing. This book is intended for mechanical engineering students and professionals who seek to deepen their understanding of computer- aided design and analysis, engineers and designers looking to enhance their skills in using CAD/CAE tools for mechanical design, and researchers and practitioners interested in the latest advancements and applications of design optimization and finite element analysis. We extend our gratitude to the numerous contributors, reviewers, and industry experts who provided valuable insights and feedback throughout the development of this book. Their expertise and dedication have greatly enriched the content and quality of this work. We hope that this book serves as a valuable resource and reference for anyone involved in the field of mechanical design and analysis. As technology continues to advance, the principles and techniques covered in this book will remain crucial in driving innovation and excellence in engineering design","url":"https://doi.org/10.5281/zenodo.13141115","authors":["Dr. D. Sendil Kumar","Dr.S.Sathees Kumar","Dr. Harinadh Vemanaboina","Dr. Muthuraman Subbiah","Mr. N. Naresh"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13141115","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.5281/zenodo.13141116","name":"COMPUTER-AIDED MECHANICAL DESIGN AND ANALYSIS","source":"datacite","abstract":"In the rapidly evolving field of mechanical design, the integration of computer-aided tools has become indispensable. This book, \"Computer-Aided Mechanical Design and Analysis,\" aims to provide a comprehensive guide to the concepts, techniques, and applications of computer graphics, finite element modeling, design optimization, and case studies that leverage these technologies. The primary objectives of this book are to introduce the fundamental concepts of computer-aided design (CAD) and computer-aided engineering (CAE), present the design processes and methodologies employed in mechanical engineering, explore various design models and their practical applications, discuss the principles of 3D object representation and viewing, explain the finite element method (FEM) and its application in mechanical analysis, delve into the optimization techniques used to enhance mechanical designs, and provide real-world case studies that illustrate the application of CAD and optimization in mechanical design. The book is organized into five main sections. The first section, \"Introduction to Computer Graphics,\" lays the foundation by introducing the concepts of computer-aided design, the design process, and various design methodologies such as Beitz’s and Pahl's approach and Ohsuga’s approach. It also covers essential topics like ANSI standards, tolerance basics, and geometric tolerances. The second section, \"3D Object Representation and Viewing,\" focuses on the representation and visualization of 3D objects, including hidden line and surface removal, illumination models, and three-dimensional viewing techniques. The third section, \"Analysis Using Finite Element Models,\" delves into the finite element method, explaining mesh generation, truss definitions, boundary conditions, and the formulation of governing equations. This section provides a detailed understanding of how FEM is used for mechanical analysis. The fourth section, \"Design Optimization,\" covers optimization problems, solution techniques, and optimality conditions. It discusses both gradient-based and non-gradient-based approaches, such as genetic algorithms and simulated annealing, and their applications in practical engineering problems. The final section, \"Case Studies,\" presents case studies that demonstrate the practical application of CAD and optimization techniques. These include design automation, digital twin approaches, sustainable product design, and metal additive manufacturing. This book is intended for mechanical engineering students and professionals who seek to deepen their understanding of computer- aided design and analysis, engineers and designers looking to enhance their skills in using CAD/CAE tools for mechanical design, and researchers and practitioners interested in the latest advancements and applications of design optimization and finite element analysis. We extend our gratitude to the numerous contributors, reviewers, and industry experts who provided valuable insights and feedback throughout the development of this book. Their expertise and dedication have greatly enriched the content and quality of this work. We hope that this book serves as a valuable resource and reference for anyone involved in the field of mechanical design and analysis. As technology continues to advance, the principles and techniques covered in this book will remain crucial in driving innovation and excellence in engineering design","url":"https://doi.org/10.5281/zenodo.13141116","authors":["Dr. D. Sendil Kumar","Dr.S.Sathees Kumar","Dr. Harinadh Vemanaboina","Dr. Muthuraman Subbiah","Mr. N. Naresh"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.13141116","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2407.18934","name":"The Design of a 3D Character Animation System for Digital Twins in the Metaverse","source":"datacite","abstract":"In the context of Industry 4.0, digital twin technology has emerged with rapid advancements as a powerful tool for visualizing and analyzing industrial assets. This technology has attracted considerable interest from researchers across diverse domains such as manufacturing, security, transportation, and gaming. The metaverse has emerged as a significant enabler in these domains, facilitating the integration of various technologies to create virtual replicas of physical assets. The utilization of 3D character animation, often referred to as avatars, is crucial for implementing the metaverse. Traditionally, costly motion capture technologies are employed for creating a realistic avatar system. To meet the needs of this evolving landscape, we have developed a modular framework tailored for asset digital twins as a more affordable alternative. This framework offers flexibility for the independent customization of individual system components. To validate our approach, we employ the English peg solitaire game as a use case, generating a solution tree using the breadth-first search algorithm. The results encompass both qualitative and quantitative findings of a data-driven 3D animation system utilizing motion primitives. The presented methodologies and infrastructure are adaptable and modular, making them applicable to asset digital twins across diverse business contexts. This case study lays the groundwork for pilot applications and can be tailored for education, health, or Industry 4.0 material development.","url":"https://doi.org/10.48550/arxiv.2407.18934","authors":["Tanberk, Senem","Tukel, Dilek Bilgin","Acar, Kadir"],"tags":["Human-Computer Interaction (cs.HC)","Artificial Intelligence (cs.AI)","Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.18934","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/wy3m1-ja387","name":"Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients","source":"datacite","abstract":"The deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). The digital twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from the physical asset, representing its real-world behavior. However, DTs use passive internet of things (IoT) sensors, which limit their potential to a specific location or entity. This problem can be addressed by using the internet of robotic things (IoRT), which combines robotics and IoT, allowing the robotic things (RTs) to navigate in a particular environment and connect to IoT devices in the vicinity. Implementing DTs in IoRT, creates a virtual replica (virtual twin) that receives real-time data from the physical RT (physical twin) to mirror its status. However, DTs require a user interface for real-time interaction and visualization. Virtual reality (VR) can be used as an interface due to its natural ability to visualize and interact with DTs. This research proposes a real-time system for RHM of COVID-19 patients using the DTs-based IoRT and VR-based user interface. It also presents and evaluates robot navigation performance, which is vital for remote monitoring. The virtual twin (VT) operates the physical twin (PT) in the real environment (RE), which collects data from the patient-mounted sensors and transmits it to the control service to visualize in VR for medical examination. The system prevents direct interaction of medical staff with contaminated patients, protecting them from infection and stress. The experimental results verify the monitoring data quality (accuracy, completeness, timeliness) and high accuracy of PT's navigation.","url":"https://doi.org/10.60692/wy3m1-ja387","authors":["Sangeen Khan","Sehat Ullah","Habib Ullah Khan","Inam Ur Rehman"],"tags":["Internet of Things and Edge Computing","Computer Networks and Communications","Computer Science","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Blockchain and Internet of Things Integration"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/wy3m1-ja387","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/qvz46-s6786","name":"Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients","source":"datacite","abstract":"The deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). The digital twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from the physical asset, representing its real-world behavior. However, DTs use passive internet of things (IoT) sensors, which limit their potential to a specific location or entity. This problem can be addressed by using the internet of robotic things (IoRT), which combines robotics and IoT, allowing the robotic things (RTs) to navigate in a particular environment and connect to IoT devices in the vicinity. Implementing DTs in IoRT, creates a virtual replica (virtual twin) that receives real-time data from the physical RT (physical twin) to mirror its status. However, DTs require a user interface for real-time interaction and visualization. Virtual reality (VR) can be used as an interface due to its natural ability to visualize and interact with DTs. This research proposes a real-time system for RHM of COVID-19 patients using the DTs-based IoRT and VR-based user interface. It also presents and evaluates robot navigation performance, which is vital for remote monitoring. The virtual twin (VT) operates the physical twin (PT) in the real environment (RE), which collects data from the patient-mounted sensors and transmits it to the control service to visualize in VR for medical examination. The system prevents direct interaction of medical staff with contaminated patients, protecting them from infection and stress. The experimental results verify the monitoring data quality (accuracy, completeness, timeliness) and high accuracy of PT's navigation.","url":"https://doi.org/10.60692/qvz46-s6786","authors":["Sangeen Khan","Sehat Ullah","Habib Ullah Khan","Inam Ur Rehman"],"tags":["Internet of Things and Edge Computing","Computer Networks and Communications","Computer Science","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Blockchain and Internet of Things Integration"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/qvz46-s6786","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.15488/17764","name":"Cutting Carbon Footprint With Smart Tool Management And Cemented Carbide (WC-Co) Upcycling","source":"datacite","abstract":"During the production of a small to medium-sized aircraft, approximately 250,000 rivet holes are required. These must be manufactured according to strict aviation specific technical, quality, and safety standards. High-quality cemented carbide (WC-Co) drilling tools are used to ensure the necessary precision and durability. However, the high energy requirement for production, especially for sintering the WC-Co blanks, and grinding the final tool geometry negatively impacts the carbon footprint of aircraft production. This study aims to analyse the environmental impact of each step in the WC-Co tool production chain and proposes innovative methods to upcycle worn tools without the need of conventional recycling processes. To reduce the climate impact, a novel smart digital tool management system is introduced containing digital twins of the individual tools. This system is complemented with three new methods of upcycling WC-Co drilling tools: regrinding worn tools to smaller diameters, applying a PVD-coating to compensate for diameter deviations, and de- and recoating diamond coatings on WC-Co tools. Preliminary results in modelling the climate impact show that these strategies can reduce the carbon footprint by up to 53 %.","url":"https://doi.org/10.15488/17764","authors":["Flehmke, Malte","Hinrichs, Marco","Möller, Carsten","Dege, Jan Hendrik"],"tags":["Smart Tool Management","Cemented Carbide Upcycling","Environmental Impact Reduction","Digital Twin","Sustainable Manufacturing","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.15488/17764","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/eqs6k-9kc10","name":"2D linear finite element simulation of laser metal heating for digital twins","source":"datacite","abstract":"In the context of laser-based additive manufacturing, the thermal behavior of the substrate is relevant to define process parameters vis-à-vis piece quality. The existing literature focuses on two process variables: (a) lumped laser power and (b) process speed. However, this literature does not consider other variables, such as those related to the laser power distribution. To fill this vacuum, this manuscript includes the laser power spatial distributions (Gaussian, uniform circular and uniform rectangular) in addition to (a) and (b) above in 2D linear substrate heating simulations. The laser energy is modeled as a time dependent heat flux boundary condition on top of the domain. The total laser delivered power was identical for all spatial distributions. The results show that the laser intensity spatial distribution strongly affects the maximum temperature, and the depth and width of the heat affected zone. These 2D finite element simulations prove to be good options for digital twin based design environments, due to their simplicity and reasonable temperature error, compared to non-linear analysis (considered as ground truth for this case). Future publications address non-linear finite element simulations of the laser heating process (including convection and radiation and temperature dependent substrate properties).","url":"https://doi.org/10.60692/eqs6k-9kc10","authors":["Diego Montoya-Zapata","Juan Manuel Corchado Rodríguez","Aitor Moreno","Jorge Posada","Oscar Ruiz-Salguero"],"tags":["Additive Manufacturing of Metallic Components","Mechanical Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Design for Manufacture and Assembly in Manufacturing","Industrial and Manufacturing Engineering","Additive Manufacturing and 3D Printing Technologies"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/eqs6k-9kc10","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/bmagg-yhe52","name":"2D linear finite element simulation of laser metal heating for digital twins","source":"datacite","abstract":"In the context of laser-based additive manufacturing, the thermal behavior of the substrate is relevant to define process parameters vis-à-vis piece quality. The existing literature focuses on two process variables: (a) lumped laser power and (b) process speed. However, this literature does not consider other variables, such as those related to the laser power distribution. To fill this vacuum, this manuscript includes the laser power spatial distributions (Gaussian, uniform circular and uniform rectangular) in addition to (a) and (b) above in 2D linear substrate heating simulations. The laser energy is modeled as a time dependent heat flux boundary condition on top of the domain. The total laser delivered power was identical for all spatial distributions. The results show that the laser intensity spatial distribution strongly affects the maximum temperature, and the depth and width of the heat affected zone. These 2D finite element simulations prove to be good options for digital twin based design environments, due to their simplicity and reasonable temperature error, compared to non-linear analysis (considered as ground truth for this case). Future publications address non-linear finite element simulations of the laser heating process (including convection and radiation and temperature dependent substrate properties).","url":"https://doi.org/10.60692/bmagg-yhe52","authors":["Diego Montoya-Zapata","Juan Manuel Corchado Rodríguez","Aitor Moreno","Jorge Posada","Oscar Ruiz-Salguero"],"tags":["Additive Manufacturing of Metallic Components","Mechanical Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Design for Manufacture and Assembly in Manufacturing","Industrial and Manufacturing Engineering","Additive Manufacturing and 3D Printing Technologies"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/bmagg-yhe52","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2405.03913","name":"Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process","source":"datacite","abstract":"Biomanufacturing innovation relies on an efficient Design of Experiments (DoEs) to optimize processes and product quality. Traditional DoE methods, ignoring the underlying bioprocessing mechanisms, often suffer from a lack of interpretability and sample efficiency. This limitation motivates us to create a new optimal learning approach for digital twin model calibration. In this study, we consider the cell culture process multi-scale mechanistic model, also known as Biological System-of-Systems (Bio-SoS). This model with a modular design, composed of sub-models, allows us to integrate data across various production processes. To calibrate the Bio-SoS digital twin, we evaluate the mean squared error of model prediction and develop a computational approach to quantify the impact of parameter estimation error of individual sub-models on the prediction accuracy of digital twin, which can guide sample-efficient and interpretable DoEs.","url":"https://doi.org/10.48550/arxiv.2405.03913","authors":["Cheng, Fuqiang","Xie, Wei","Zheng, Hua"],"tags":["Quantitative Methods (q-bio.QM)","Machine Learning (cs.LG)","Machine Learning (stat.ML)","FOS: Biological sciences","FOS: Biological sciences","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.03913","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.35090/gatech/11071","name":"Unleashing the Potential of Digital Twin-Enhanced Hyper Hubs","source":"datacite","abstract":"Parcel logistics hubs play a crucial role in aggregating and distributing packages, requiring significant capital and labor investments, primarily determined by conveyor infrastructure. Recently, the HyperHub concept has emerged, employing PI-Boxes and racks for parcel consolidation and transport. HyperHub functions as a cross-dock, transferring PI-Boxes between inbound and outbound trucks. However, challenges persist in developing a practical, cost-effective, and risk-free implementation methodology for HyperHub, despite advancements in its conceptualization, design, and execution system. To address this challenge, the authors present a comprehensive methodology for designing and developing a HyperHub based on the concept of digital twin (DT) in the early stages of the design process. A digital replica of the system is used in the early stages of design to create a physical layout and test the control system in a risk- and cost-effective environment. This is accomplished by integrating a modelbased system into the digital copy of the real system. Firstly, we propose a concept of a generic digital twin cellular logistic hub (DT-CLH) methodology for the HyperHub, inspired by the cellular manufacturing (CM) and cellular warehousing (CW) concepts. Secondly, we formulate and define a cellular logistic hub (CLH), considering the objective of minimizing total movement.","url":"https://doi.org/10.35090/gatech/11071","authors":["Barenji, Ali V.","Montreuil, Benoit","McGinnis, Leon F."],"tags":["Physical internet","Hyper hub","Logistic hub","Parcel logistics","Digital twin and cellular manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.35090/gatech/11071","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/1nzan-7te79","name":"A Blockchain Based System for Healthcare Digital Twin","source":"datacite","abstract":"Digital Twin (DT) is an emerging technology that replicates any physical phenomenon from a physical space to a digital space in congruence with the physical state.However, devising a Healthcare DT model for patient care is seen as a challenging task as the lack of adequate data collection structure.There are also security and privacy concerns as healthcare data is very sensitive and can be used in malicious ways.Because of these current research gaps, the proper way of acquiring the structured data and managing them in a secure way is very important.In this article, we present a mathematical data model to accumulate the patient relevant data in a structured and predefined way with proper delineation.Additionally, the provided data model is described in harmony with real life contexts.Then, we have used the patient centric mathematical data model to formally define the semantic and scope of our proposed Healthcare Digital Twin (HDT ) system based on Blockchain.Accordingly, the proposed system is described with all the key components as well as with detailed protocol flows and an analysis of its different aspects.Finally, the feasibility of the proposed model with a critical comparison with other relevant research works have been provided.","url":"https://doi.org/10.60692/1nzan-7te79","authors":["Sadman Sakib Akash","Md Sadek Ferdous"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/1nzan-7te79","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/8xsbn-17071","name":"A Blockchain Based System for Healthcare Digital Twin","source":"datacite","abstract":"Digital Twin (DT) is an emerging technology that replicates any physical phenomenon from a physical space to a digital space in congruence with the physical state.However, devising a Healthcare DT model for patient care is seen as a challenging task as the lack of adequate data collection structure.There are also security and privacy concerns as healthcare data is very sensitive and can be used in malicious ways.Because of these current research gaps, the proper way of acquiring the structured data and managing them in a secure way is very important.In this article, we present a mathematical data model to accumulate the patient relevant data in a structured and predefined way with proper delineation.Additionally, the provided data model is described in harmony with real life contexts.Then, we have used the patient centric mathematical data model to formally define the semantic and scope of our proposed Healthcare Digital Twin (HDT ) system based on Blockchain.Accordingly, the proposed system is described with all the key components as well as with detailed protocol flows and an analysis of its different aspects.Finally, the feasibility of the proposed model with a critical comparison with other relevant research works have been provided.","url":"https://doi.org/10.60692/8xsbn-17071","authors":["Sadman Sakib Akash","Md Sadek Ferdous"],"tags":["Blockchain and Internet of Things Integration","Information Systems","FOS: Computer and information sciences","Computer Science","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/8xsbn-17071","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/agfdh-fhv34","name":"The Role of Digital Technology in the Animation Curriculum","source":"datacite","abstract":"Digital technology is an important factor in promoting the development of animation, and the current animation classroom is also presenting a new appearance due to digital empowerment. Digital technology plays an important role in curriculum design, software teaching, and the use of digital production tools. The practice of animation courses is becoming increasingly enriched with the support of digital technology, including the production of ancient architectural restoration using digital twin technology, game production using virtual engine technology, and 3D printing using digital manufacturing technology, among others. Digital technology has also fostered the rapid development of online teaching, remote collaborative production teaching, and virtual VR teaching. This article discusses the role of digital technology in animation course teaching from multiple dimensions.","url":"https://doi.org/10.60692/agfdh-fhv34","authors":["Heng Yang"],"tags":["Innovations in Visual Communication Design and Technology","Computer Graphics and Computer-Aided Design","Computer Science","Physical Sciences","Augmented Reality and its Applications","Computer Vision and Pattern Recognition","Animation","Digital Media Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/agfdh-fhv34","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/ar24q-v1r27","name":"The Role of Digital Technology in the Animation Curriculum","source":"datacite","abstract":"Digital technology is an important factor in promoting the development of animation, and the current animation classroom is also presenting a new appearance due to digital empowerment. Digital technology plays an important role in curriculum design, software teaching, and the use of digital production tools. The practice of animation courses is becoming increasingly enriched with the support of digital technology, including the production of ancient architectural restoration using digital twin technology, game production using virtual engine technology, and 3D printing using digital manufacturing technology, among others. Digital technology has also fostered the rapid development of online teaching, remote collaborative production teaching, and virtual VR teaching. This article discusses the role of digital technology in animation course teaching from multiple dimensions.","url":"https://doi.org/10.60692/ar24q-v1r27","authors":["Heng Yang"],"tags":["Innovations in Visual Communication Design and Technology","Computer Graphics and Computer-Aided Design","Computer Science","Physical Sciences","Augmented Reality and its Applications","Computer Vision and Pattern Recognition","Animation","Digital Media Technology"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/ar24q-v1r27","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/cznhk-b1e37","name":"Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies","source":"datacite","abstract":"In response to the critical need for enhanced resource management in the construction industry, this research develops an innovative, integrated methodology that synergistically combines Agent-Based Modeling (ABM), Building Information Modeling (BIM), and Bluetooth Low Energy (BLE) technologies. Central to our approach is a sophisticated technological framework that incorporates a Client Early Warning System (CEWS) and a Decision Support System (DSS). These systems facilitate real-time monitoring and management of construction resources, ensuring operational efficiency and optimal resource utilization. Our methodology was empirically validated through a comprehensive case study at Helwan University's College of Engineering. The results demonstrated a significant enhancement in operational efficiency, particularly in resource allocation and progress tracking. Key practical outcomes include the development of a CEWS master dashboard that provides in-depth, real-time insights into project metrics. This dashboard was crucial for managing compliance with health protocols during the COVID-19 pandemic, showcasing the framework's adaptability to critical health standards. Further, the integration of indoor tracking technology revolutionized attendance tracking by replacing outdated manual methods with automated processes. This capability not only underscores the practical applicability of our research but also establishes a new benchmark for future technological advancements in construction project management. Our study sets the stage for subsequent innovations, paving the way for a more connected, efficient, and data-driven approach in the construction industry.","url":"https://doi.org/10.60692/cznhk-b1e37","authors":["Ahmed Mohammed Abdelalim","Salah Omar Said","AlJawharah A.AL Nasser","A. M. Sharaf","Adel El-Samadony","Denise‐Penelope N. Kontoni","Mohamed Tantawy"],"tags":["Building Information Modeling in Construction Industry","Building and Construction","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Transportation and Logistics Management","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/cznhk-b1e37","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/3be6e-71v81","name":"Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies","source":"datacite","abstract":"In response to the critical need for enhanced resource management in the construction industry, this research develops an innovative, integrated methodology that synergistically combines Agent-Based Modeling (ABM), Building Information Modeling (BIM), and Bluetooth Low Energy (BLE) technologies. Central to our approach is a sophisticated technological framework that incorporates a Client Early Warning System (CEWS) and a Decision Support System (DSS). These systems facilitate real-time monitoring and management of construction resources, ensuring operational efficiency and optimal resource utilization. Our methodology was empirically validated through a comprehensive case study at Helwan University's College of Engineering. The results demonstrated a significant enhancement in operational efficiency, particularly in resource allocation and progress tracking. Key practical outcomes include the development of a CEWS master dashboard that provides in-depth, real-time insights into project metrics. This dashboard was crucial for managing compliance with health protocols during the COVID-19 pandemic, showcasing the framework's adaptability to critical health standards. Further, the integration of indoor tracking technology revolutionized attendance tracking by replacing outdated manual methods with automated processes. This capability not only underscores the practical applicability of our research but also establishes a new benchmark for future technological advancements in construction project management. Our study sets the stage for subsequent innovations, paving the way for a more connected, efficient, and data-driven approach in the construction industry.","url":"https://doi.org/10.60692/3be6e-71v81","authors":["Ahmed Mohammed Abdelalim","Salah Omar Said","AlJawharah A.AL Nasser","A. M. Sharaf","Adel El-Samadony","Denise‐Penelope N. Kontoni","Mohamed Tantawy"],"tags":["Building Information Modeling in Construction Industry","Building and Construction","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Transportation and Logistics Management","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/3be6e-71v81","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2406.10020","name":"Quantitative phase imaging verification in large field-of-view lensless holographic microscopy via two-photon 3D printing","source":"datacite","abstract":"Large field-of-view (FOV) microscopic imaging with high lateral resolution (1-2 microns for high space-bandwidth product) plays a pivotal role in biomedicine and biophotonics, especially within the label-free regime, e.g., for whole slide tissue quantitative analysis and live cell culture imaging. In this context, lensless digital holographic microscopy (LDHM) holds substantial promise. However, one intriguing challenge has been the fidelity of computational quantitative phase imaging (QPI) with LDHM in large FOV. While photonic phantoms, 3D printed by two-photon polymerization (TPP), have facilitated calibration and verification in small FOV lens-based QPI systems, an equivalent evaluation for lensless techniques remains elusive, compounded by issues such as twin-image and beam distortions, particularly towards the detector edges. To tackle this problem, we propose an application of TPP over large area to examine phase consistency in LDHM. In our research, we crafted widefield calibration phase test targets, fabricated them with galvo and piezo scanning, and scrutinized them under single-shot twin-image corrupted conditions and multi-frame iterative twin-image minimization scenarios. By displacing the structures toward the edges of the sensing area, we verified LDHM phase imaging errors across the entire field-of-view, showing less than 12 percent of phase value difference between investigated areas. Interestingly, our research revealed that the TPP technique, following LDHM and Linnik interferometry cross-verification, requires novel design considerations for successful large-area precise photonic manufacturing. Our work thus unveils important avenues toward the quantitative benchmarking of large FOV lensless phase imaging, advancing our mechanistic understanding of LDHM techniques and contributing to their further development and optimization of both phase imaging and fabrication.","url":"https://doi.org/10.48550/arxiv.2406.10020","authors":["Wdowiak, Emilia","Rogalski, Mikołaj","Arcab, Piotr","Zdańkowski, Piotr","Józwik, Michał","Trusiak, Maciej"],"tags":["Optics (physics.optics)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.10020","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.48550/arxiv.2406.08343","name":"Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver","source":"datacite","abstract":"Digital twins, the cornerstone of Industry 4.0, replicate real-world entities through computer models, revolutionising fields such as manufacturing management and industrial automation. Recent advances in machine learning provide data-driven methods for developing digital twins using discrete-time data and finite-depth models on digital computers. However, this approach fails to capture the underlying continuous dynamics and struggles with modelling complex system behaviour. Additionally, the architecture of digital computers, with separate storage and processing units, necessitates frequent data transfers and Analogue-Digital (A/D) conversion, thereby significantly increasing both time and energy costs. Here, we introduce a memristive neural ordinary differential equation (ODE) solver for digital twins, which is capable of capturing continuous-time dynamics and facilitates the modelling of complex systems using an infinite-depth model. By integrating storage and computation within analogue memristor arrays, we circumvent the von Neumann bottleneck, thus enhancing both speed and energy efficiency. We experimentally validate our approach by developing a digital twin of the HP memristor, which accurately extrapolates its nonlinear dynamics, achieving a 4.2-fold projected speedup and a 41.4-fold projected decrease in energy consumption compared to state-of-the-art digital hardware, while maintaining an acceptable error margin. Additionally, we demonstrate scalability through experimentally grounded simulations of Lorenz96 dynamics, exhibiting projected performance improvements of 12.6-fold in speed and 189.7-fold in energy efficiency relative to traditional digital approaches. By harnessing the capabilities of fully analogue computing, our breakthrough accelerates the development of digital twins, offering an efficient and rapid solution to meet the demands of Industry 4.0.","url":"https://doi.org/10.48550/arxiv.2406.08343","authors":["Chen, Hegan","Yang, Jichang","Chen, Jia","Wang, Songqi","Wang, Shaocong","Wang, Dingchen","Tian, Xinyu","Yu, Yifei","Chen, Xi","Lin, Yinan","He, Yangu","Wu, Xiaoshan","Li, Yi","Zhang, Xinyuan","Lin, Ning","Xu, Meng","Li, Yi","Zhang, Xumeng","Wang, Zhongrui","Wang, Han","Shang, Dashan","Liu, Qi","Cheng, Kwang-Ting","Liu, Ming"],"tags":["Hardware Architecture (cs.AR)","Artificial Intelligence (cs.AI)","Emerging Technologies (cs.ET)","Neural and Evolutionary Computing (cs.NE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.08343","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"doi:10.60692/991tk-kgw26","name":"A MODEL PROPOSAL FOR DIGITAL TWIN DEVELOPMENT","source":"datacite","abstract":"Digital twins are becoming a powerful tool to enhance industrial processes worldwide.This paper proposes a model for the creation of industrial processes' digital twins, using a steam distillation process for essential oil extraction as a case study.A grey box modeling is suggested combining a machine learning based model with physical modeling to improve the process.Real time simulation and a hybrid control strategy are used, linked to reinforcement learning and PID control, focusing on the yield increase and optimization.A creation method is elaborated to support other applications of digital twins in industrial processes in the future.","url":"https://doi.org/10.60692/991tk-kgw26","authors":["Matheus Antônio Nogueira de Andrade","Herman Augusto Lepikson","Carlos Alberto Tosta Machado","Yasmim Thasla Santos Ferreira","Sara Freitas Santos Vasconcelos"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","State-of-the-Art in Process Optimization under Uncertainty","Control and Systems Engineering","Digital Twin","Process Intensification"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.60692/991tk-kgw26","addedAt":"2026-09-01T01:47:42.186Z","updatedAt":"2026-09-01T01:47:42.186Z"},{"id":"oa:W4407793420","name":"Polycaprolactone/F18 Bioactive Glass Scaffolds Obtained via Fused Filament Fabrication","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide The treatment duration for tissue defects, such as bone fractures, can be minimized by employing scaffolds. These structures can provide mechanical stability and stimulate cell adhesion and proliferation upon implantation. Fused filament fabrication allows the production of scaffolds from biodegradable polymers while enabling control over geometry and architecture for specific biomedical applications. Cellular activity can be enhanced by incorporating bioactive glasses into the polymer. In this investigation, 10% by weight of F18, a highly bioactive glass that can be obtained as continuous fibers, was incorporated into polycaprolactone via twin-screw extrusion molding. The bioactive fibers were mechanically characterized, and a polymer composite containing F18 was three-dimensional (3D) printed for the first time. Compounding resulted in a significant reduction in fiber length. The composites were assessed for thermal stability, mechanical properties, morphology, pore size, wettability, mineralization, and cell viability. Thermogravimetric analyses indicated that the bioactive glass lowers the decomposition temperature of polycaprolactone, a phenomenon commonly observed in polyesters. Although no improvements in mechanical properties were observed, incorporating F18 significantly enhanced cell viability after 7 days of in vitro testing, highlighting the potential of this composite for Bone Tissue Engineering.","url":"https://doi.org/10.1021/acsapm.4c03439","authors":["Thiago de Assis Augusto","Murilo C. Crovace","Leonardo Alves Pinto","L. Costa"],"tags":["Polycaprolactone","Bioactive glass","Fabrication","Materials science","Protein filament"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-20","doi":"https://doi.org/10.1021/acsapm.4c03439","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7154381893","name":"Digital Product Passport: Global Research Trends and Future Orientation","source":"openalex","abstract":"This paper employs bibliographic analysis of the Scopus database from 2003 to 2026, combined with PRISMA filtering, to construct a dataset of 445 publications on Digital Product Passports (DPP). The results show that DPPs are emerging as an interdisciplinary research direction, characterized by significant collaboration (1,314 authors; an average of 3.85 authors/article; international collaboration: 20.9%), with a concentration in publishing channels such as Procedia CIRP, IFAC-PapersOnLine, Sustainability (Switzerland), and European research centers. Network analysis of authors and keywords reveals key themes, including the circular economy, product data digitization and governance, supply chain transparency, and technological trends (such as interoperability, data sharing, digital twin, Industry 4.0, and blockchain), while highlighting barriers to data standardization and information sharing mechanisms within the value chain.","url":"https://doi.org/10.47772/ijriss.2026.1015ec00031","authors":["Nguyen Thi Hai Ly","Pham Thanh Trung"],"tags":["Digitization","Product (mathematics)","Data science","Standardization","Construct (python library)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.47772/ijriss.2026.1015ec00031","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7167350981","name":"Enabling Digital Twins in Built Environments with Object-Oriented Models","source":"openalex","abstract":"The operational and maintenance (O&M) phase of built environments accounts for nearly 80% of total building costs, with many buildings consuming about 30% more energy than necessary. Despite the use of Building Management Systems (BMS) to coordinate subsystems, significant inefficiencies persist.","url":"https://doi.org/10.1145/3786159.3788478","authors":["Peter Yefi","Reiner Braun","Philipp Regel","Ramanunni Parakkal Menon","Ursula Eicker"],"tags":["Computer science","Architectural engineering","Systems engineering","Field (mathematics)","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-12","doi":"https://doi.org/10.1145/3786159.3788478","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4366975242","name":"Tidal Stream Turbine Biofouling Detection and Estimation: A Review-Based Roadmap","source":"openalex","abstract":"In the context of harvesting tidal stream energy, which is considered a promising source of renewable energy due to its high energy density, stability, and predictability, this paper proposes a review-based roadmap investigating the use of data-driven techniques, more specifically machine learning-based approaches, to detect and estimate the extent of biofouling in tidal stream turbines. An overview of biofouling and its impact on these turbines will be provided as well as a brief review of current methodologies and techniques for detecting and estimating biofouling. Additionally, recent developments and challenges in the field will be examined, while providing several promising prospects for biofouling detection and estimation in tidal stream turbines.","url":"https://doi.org/10.3390/jmse11050908","authors":["Haroon Rashid","Mohamed Benbouzid","Hosna Titah-Benbouzid","Yassine Amirat","Abdeslam Mamoune"],"tags":["Biofouling","Tidal power","Context (archaeology)","Predictability","Renewable energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-24","doi":"https://doi.org/10.3390/jmse11050908","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7117305020","name":"State Regulation and Strategic Management of Water Resources and Wastewater Treatment at the Regional Level: Institutional and Technological Solutions","source":"openalex","abstract":"Regional water systems face growing pressure from climate variability, water scarcity, and increasingly complex wastewater pollution. These challenges require governance models that integrate institutional coordination with effective technological solutions. This review is based on a structured analysis of peer-reviewed literature indexed in Scopus, Web of Science, and ScienceDirect, covering publications from approximately 2014 to 2025. The findings show that clearly defined institutional roles, basin-level coordination, stable financing mechanisms, and active stakeholder participation significantly improve governance outcomes. Technological advances such as membrane filtration, advanced oxidation processes, nature-based treatment systems, and digital monitoring platforms enhance treatment efficiency, resilience, and opportunities for resource recovery. Regions differ widely in their ability to adopt these solutions, mainly due to variations in governance coherence, investment capacity, and climate-adaptation readiness. The review highlights the need for policy frameworks that align institutional reforms with technological modernization, including the adoption of basin-based planning, digital decision-support systems, and circular water-economy principles. These measures provide actionable guidance for policymakers and regional authorities seeking to strengthen long-term water security and wastewater management performance.","url":"https://doi.org/10.3390/w18010063","authors":["Rabiga M. Kudaibergenova","Asparukh B. Bolatbek","Magbat U. Spanov","Elvira A. Baibazarova","Seitzhan Orynbayev","Nazgul S. Murzakasymova","Arman Arstangalievich Kabdushev"],"tags":["Business","Corporate governance","Stakeholder","Integrated water resources management","Water resources"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-24","doi":"https://doi.org/10.3390/w18010063","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7164653706","name":"Framework for Integrating Digital Twin Technology in the Real Estate Industry (CREST)","source":"openalex","abstract":"The majority of commercial real estate (CRE) Digital Twin (DT) pilots do not progress to production. The core obstacle is not technology, it is the persistent fragmentation of lifecycle data across BIM platforms, building automation systems, IoT networks, and enterprise software. Systems that were never designed to share information cannot simply be integrated by building another platform atop them. This paper introduces CREST, the Commercial Real Estate Smart Twin framework; a seven-tier implementation pathway that links strategic business intent to measurable operational outcomes across the CRE lifecycle. The seven tiers are: Strategic Canvas, Value Streams, Adoption Model, Reference Architecture, Deployment Playbook, Maturity Model, and ROI & Benefits Matrix. CREST draws on foundational DT literature, industrial reference architectures from the Industry IoT Consortium, and learnings from 80+ engagements within global CRE organizations. The framework directly confronts four challenges that repeatedly kill CRE twin programmes: fragmented data across lifecycle stages, reactive maintenance cultures, mounting ESG/CSRD reporting obligations, and post-pandemic space utilization volatility. For each, CREST embeds minimum data requirements, governance protocols, and integration patterns into its deployment playbook and reference architecture. Case evidence shows a 20% drop in delayed projects and a 30% gain in Net Promoter Score, alongside documented reductions in operating cost. CREST’s contribution is deliberately practitioner-facing: a repeatable integration blueprint that reduces delivery risk at both building and portfolio scale. Keywords: sustainability reporting; Internet of things; Digital Twin (DT); Commercial Real Estate (CRE); Building Information Management (BIM); Facility Management; Maturity Model; CREST framework; Environmental Social and Governance (ESG) Reporting","url":"https://doi.org/10.64823/ijter.2606008","authors":["Shivanand R Koppalkar","Vivek Krishan","Yogesh Gupte","Arunkumar Gunasekaran","Kathiravan Udayakumar","Prachi Kadam"],"tags":["Real estate","Software deployment","Process management","Portfolio","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-13","doi":"https://doi.org/10.64823/ijter.2606008","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7124263296","name":"Large language models in global health","source":"openalex","abstract":"Large language models (LLMs) are emerging as powerful tools in healthcare, with a growing role in global health, particularly in low- and middle-income countries (LMICs). This Perspective examines the current progress, challenges and prospects of LLMs in addressing health system disparities and supporting the achievement of the Sustainable Development Goals (SDGs). While high-income countries dominate the development and deployment of LLMs, LMICs face substantial barriers. These include limited digital infrastructure, a scarcity of locally relevant data, regulatory gaps, under-representation of local languages and dialects, and challenges related to privacy and data security. The limited availability of local expertise, capacity building programmes and sustained technical support remains a key barrier to scaling LLMs in LMICs. Nonetheless, case studies highlight how mobile-based LLM applications, hybrid artificial intelligence systems and open-weight models like DeepSeek are enhancing access to care, improving diagnostics and supporting clinical decision-making in resource-limited settings. Key risks include model hallucinations, equity concerns and environmental impacts. These underscore the need for rigorous validation, localized fine-tuning and global governance frameworks. The implementation of LLMs with contextual sensitivity, responsible oversight and codevelopment partnerships is important to avoid perpetuating health inequities. With the right safeguards and strategic investments in capacity building, LLMs have the potential to transform global health by bridging divides in access, augmenting overburdened health workforces, and enabling scalable and cost-effective innovations for the most underserved communities. Large language models (LLMs) are emerging as powerful tools in healthcare, with a growing role in global health, particularly in low- and middle-income countries. This Perspective examines the current progress, challenges and prospects of LLMs in addressing health system disparities and supporting achievement of the Sustainable Development Goals.","url":"https://doi.org/10.1038/s44360-025-00024-7","authors":["Jasmine Chiat Ling Ong","Yilin Ning","Rui Yang","Danielle S. Bitterman","Xiaoxuan Liu","Yih Chung Tham","Gary Collins","Michelle María Jiménez de Tavárez","Bilal A. Mateen","Kwesi Nyan Amissah-Arthur","Bin Sheng","Iain Bee Huat Tan","Chuan Hong","Lionel Tim-Ee Cheng","Benjamin A. Goldstein","Phuoc V. Le","Yun Liu","Hiang Khoon Tan","Marcus Eng Hock Ong","Siegfried K. Wagner","Alastair K. Denniston","Pearse A. Keane","Josip Car","Wendy W. Chapman","Karel G. M. Moons","Tien Yin Wong","Eric J. Topol","Nan Liu"],"tags":["Global health","Equity (law)","Corporate governance","Sustainable development","Grand Challenges"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"https://doi.org/10.1038/s44360-025-00024-7","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7130828561","name":"AI-Driven Virtual Power Plants: A Comprehensive Review","source":"openalex","abstract":"The rapid proliferation of distributed energy resources (DERs), including photovoltaics, wind power, battery energy storage, and electric vehicles, has transformed traditional power systems into highly decentralized and data-rich environments. Virtual power plants (VPPs) have emerged as a key mechanism for aggregating these heterogeneous assets and enabling coordinated control, market participation, and grid-support functions. Recent advances in artificial intelligence (AI) have further elevated the scalability, autonomy, and responsiveness of VPP operations. This paper presents a comprehensive review of AI for VPPs, organized around a taxonomy of machine learning, deep learning, reinforcement learning, and hybrid approaches, and examines how these methods map to core VPP functions such as forecasting, scheduling, market bidding, aggregation, and ancillary services. In parallel, we analyze enabling architectural frameworks—including centralized cloud, distributed edge, hybrid cloud–edge collaboration, and emerging 5G/LEO satellite communication infrastructures—that support real-time data exchange and scalable deployment of intelligent control. By integrating methodological, functional, and architectural perspectives, this review highlights the evolution of VPPs from rule-based coordination to intelligent, autonomous energy ecosystems. Key research challenges are identified in data quality, model interpretability, multi-agent scalability, cyber-physical resilience, and the integration of AI with digital twins and edge-native computation. These findings outline promising directions for next-generation intelligent VPPs capable of delivering secure, flexible, and self-optimizing DER aggregation at scale.","url":"https://doi.org/10.3390/en19041084","authors":["jian li","Chenxi Wang","Yonghe Liu"],"tags":["Software deployment","Scalability","Key (lock)","Computer science","Distributed generation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-20","doi":"https://doi.org/10.3390/en19041084","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4392094348","name":"Laser direct overall water splitting for H 2 and H 2 O 2 production","source":"openalex","abstract":"Hydrogen (H 2 ) and hydrogen peroxide (H 2 O 2 ) play crucial roles as energy carriers and raw materials for industrial production. However, the current techniques for H 2 and H 2 O 2 production rely on complex catalysts and involve multiple intermediate steps. In this study, we present a straightforward, environmentally friendly, and highly efficient laser-induced conversion method for overall water splitting to simultaneously generate H 2 and H 2 O 2 at ambient conditions without any catalysts. The laser direct overall water splitting approach achieves an impressive light-to-hydrogen energy conversion efficiency of 2.1%, with H 2 production rates of 2.2 mmol/h and H 2 O 2 production rates of 65 µM/h in a limited reaction area (1 mm 2 ) within a short real reaction time (0.36 ms/h). Furthermore, we elucidate the underlying physics and chemistry behind the laser-induced water splitting to produce H 2 and H 2 O 2 . The laser-induced cavitation bubbles create an optimal microenvironment for water-splitting reactions because of the transient high temperatures (10 4 K) surpassing the chemical barrier required. Additionally, their rapid cooling rate (10 10 K/s) hinders reverse reactions and facilitates H 2 O 2 retention. Finally, upon bubble collapse, H 2 is released while H 2 O 2 remains dissolved in the water. Moreover, a preliminary amplification experiment demonstrates the potential industrial applications of this laser chemistry. These findings highlight that laser-based production of H 2 and H 2 O 2 from water holds promise as a straightforward, environmentally friendly, and efficient approach on an industrial scale beyond conventional chemical catalysis.","url":"https://doi.org/10.1073/pnas.2319286121","authors":["Bo Yan","Qunfang Gu","Weiwei Cao","Biao Cai","Yinwu Li","Zhiping Zeng","Pu Liu","Zhuofeng Ke","Sheng Meng","Gang Ouyang","Guowei Yang"],"tags":["Water splitting","Catalysis","Hydrogen production","Hydrogen","Laser"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-23","doi":"https://doi.org/10.1073/pnas.2319286121","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7163653407","name":"From Aqueous Stability to Mpro Inhibition: A Five-Layer Digital Twin Framework Integrating Molecular Dynamics Data for Allicin/Al12N12 Nanocomplexes against SARS-CoV-2","source":"openalex","abstract":"Building upon the previously published Allicin Digital Twin v2.0 (Morais et al., IJRPAS 2026), this study presents Digital Twin v3.0 — a five-layer computational framework that integrates, for the first time, real molecular dynamics (MD) trajectory data from Discovery Studio CHARMm36 simulations (Li & Cheng, 2023) for the alliin–6LU7 and allicin–6LU7 complexes into an adaptive multi-scale model. Layer 4 assimilates the RMSD and RMSF trajectories from Li & Cheng, establishing a structural calibration anchor for the SARS-CoV-2 main protease (Mpro, PDB: 6LU7) active pocket (HIS41, CYS44, MET49, PRO52, TYR54, MET165, ASP187, ARG188, GLN189, GLN192). Layer 5 introduces two novel metrics: the Nanocage Enhancement Factor for Inhibition (NEFI) and the Stability–Binding Integrated Score (SBIS), derived from a Hill–Langmuir pharmacodynamic model coupled to the ODE degradation engine. The Allicin/Al₁₂N₁₂ complex achieves NEFI = 14.0× and SBIS = 320.7 relative to free allicin against Mpro. Integration of real MD data reduced the predicted mean RMSF in the Mpro active pocket from 1.088 Å (allicin–6LU7, Li & Cheng) to a predicted 0.163 Å for Allicin/Al₁₂N₁₂, a 6.66-fold reduction consistent with the 44-fold B-factor decrease already established in v2.0. The Digital Twin framework's Gaussian Process surrogate (RMSD equilibrium: 0.485 Å, SASA: 6.96 nm²) is validated against the real CHARMm36 RMSD plateau of 1.10 nm for alliin–6LU7. The study closes the gap between static DFT thermodynamics and time-resolved binding dynamics, while identifying in vitro stability assays for Allicin/Al₁₂N₁₂ under physiological conditions as the critical next experimental step.","url":"https://doi.org/10.71431/ijrpas.2026.5503","authors":["Jefferson Lorençoni de Morais","Heliel Gabriel Borges de Sena","Larissa Neres Barbosa","Lanna Araújo Gomes"],"tags":["Molecular dynamics","Chemistry","Stability (learning theory)","Biological system","Gaussian"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.71431/ijrpas.2026.5503","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7156605582","name":"From Digital Twin to Digital Cognition: A Multilevel Model of Algorithmic Intelligence in Smart Manufacturing Systems","source":"openalex","abstract":"This study extends the dominant digital twin paradigm by introducing the concept of digital cognition to explain the evolving nature of smart manufacturing systems. While prior research largely conceptualizes digital twins as passive representations for monitoring and simulation, we argue that advanced manufacturing systems increasingly exhibit algorithmic intelligence through the integration of predictive models, real-time control, and adaptive feedback mechanisms. Drawing on an in-depth case study of a fully automated precision grinding system, this paper develops a multilevel model that explains how algorithmic intelligence emerges from the interaction of three interdependent layers: (1) a perceptual infrastructure enabled by high-resolution sensor networks and real-time data acquisition; (2) an algorithmic reasoning layer driven by machine learning models such as LSTM-based prediction and thermal deformation compensation algorithms; and (3) an autonomous actuation layer realized through high-speed synchronized control architectures. The findings show that the emergence of digital cognition transforms manufacturing systems from reactive optimization tools into proactive and self-adaptive agents, significantly enhancing precision, efficiency, and operational reliability. This transformation also reconfigures control structures by shifting decision-making authority from human operators to algorithmically mediated systems, raising important implications for governance and human–machine interaction.","url":"https://doi.org/10.65192/xpk5hs34","authors":["Xiaole Ruan","Yiyang Zeng","Hongjian Shao","Zhipeng Cai Zhipeng","Ying Ying","Junjiang Jin","Jijun Lin","Enwei Ni"],"tags":["Computer science","Smart manufacturing","Model predictive control","Interdependence","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-28","doi":"https://doi.org/10.65192/xpk5hs34","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4411568663","name":"Green and intelligent: the role of AI in the climate transition","source":"openalex","abstract":"Abstract Artificial Intelligence (AI) can play a powerful role in supporting climate action while boosting sustainable and inclusive economic growth. However, limited research exists on the potential influence of AI on the low-carbon transition. Here we identify five areas through which AI can help build an effective response to climate threats. We estimate the potential for greenhouse gas (GHG) emissions reductions through AI applications in three key sectors—power, food, and mobility—which collectively contribute nearly half of global emissions. This is compared with the increase in data centre-related emissions generated by all AI-related activities.","url":"https://doi.org/10.1038/s44168-025-00252-3","authors":["Nicholas Stern","Mattia Romani","Roberta Pierfederici","Manuel Braun","Daniel Barraclough","Shajeeshan Lingeswaran","Elizabeth Weirich-Benet","Niklas Niemann"],"tags":["Transition (genetics)","Climate change","Environmental science","Chemistry","Geology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-23","doi":"https://doi.org/10.1038/s44168-025-00252-3","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7123356034","name":"Evolution and Emerging Frontiers in Point Cloud Technology","source":"openalex","abstract":"Point cloud intelligence integrates advanced technologies such as Light Detection and Ranging (LiDAR), photogrammetry, and Artificial Intelligence (AI) to transform transportation infrastructure management. This review highlights state-of-the-art advancements in denoising, registration, segmentation, and surface reconstruction. A detailed case study on three-dimensional (3D) mesh generation for railway fastener monitoring showcases how these techniques address challenges like noise and computational complexity while enabling precise and efficient infrastructure maintenance. By demonstrating practical applications and identifying future research directions, this work underscores the transformative potential of point cloud intelligence in supporting predictive maintenance, digital twins, and sustainable transportation systems.","url":"https://doi.org/10.3390/electronics15020341","authors":["Wenjuan Wang","Haleema Ehsan","Shi Qiu","Tariq Ur Rahman","Jin Wang","Qasim Zaheer"],"tags":["Cloud computing","Transformative learning","Computer science","Point cloud","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-13","doi":"https://doi.org/10.3390/electronics15020341","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7165388623","name":"The impact of digital twin capabilities on predictive maintenance performance: An analytical study","source":"openalex","abstract":"This research investigates how the use of digital twin capabilities will enhance the predictive maintenance performance in the Samarra Thermal Power Plant. The focus is placed upon five key dimensions of digital twin capability; that being real-time monitoring, digital simulation, fault prediction, intelligent decision-making and digital integration. Descriptive analysis was used to analyze all the relationships outlined by this study. The population for this study comprised 113 technical managers, engineers and programmers. From these, a stratified random sample of 70 respondents was chosen. Electronic questionnaires based upon previously relevant studies were distributed to collect data.A number of statistical methods were used in the study with the help of SPSS version 24 and Microsoft Excel to analyze the information gathered from the participants. Descriptive statistics, Pearson's correlation analysis and Ordinary Least Squares (OLS) regression analysis are some examples of these statistical methods. In accordance with the findings, there is an extremely high positive correlation between Digital Twin Capability and Predictive Maintenance Performance. Additionally, it has been found that each dimension of Digital Twin Capability positively impacts Predictive Maintenance Performance; this demonstrates the capability of Digital Twins to enhance Fault Prediction Accuracy, Reduce Unplanned Downtime, Lower Maintenance Costs, Enhance Asset Reliability and Increase Equipment Lifecycle.Recommendations made by this research are that there is a need for increased use of digital twin technologies across industrial organizations, as well as an increase in the degree of integration of these technologies into other forms of digital technology to enhance the maintenance effectiveness and reliability of operations. This research provides original data on the extent to which Digital Twin Capabilities can be used to provide improvements in Predictive Maintenance Performance within the Iraq Energy Sector.","url":"https://doi.org/10.33545/26633329.2026.v8.i6a.409","authors":["Thamer Okab Hawas"],"tags":["Predictive maintenance","Reliability (semiconductor)","Reliability engineering","Engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.33545/26633329.2026.v8.i6a.409","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4415503820","name":"Aspects and Ideas for the FMI-based Modeling of Railway Digital Twins","source":"openalex","abstract":"This papers reports on activities in the European projectMOTIONAL that aims at the development of a digital twinenvironment which facilities the modularity,interoperability and composability of complex digital twinassemblies of railway systems. The approach that refers tothe Functional Mock-up Interface is justified by adiscussion of the comparable activities in industry and inthe automotive field compared to particularities in therailway system. The work was initiated by the selection andanalysis of nine use cases. An introductory digital twinexample illustrates the current implementation status andrelated aspects, while an outlook presents the integrationinto the Federated Rail Data Space as the business case andas a vision of the activity.","url":"https://doi.org/10.3384/ecp21891","authors":["Andreas Heckmann","Alexander Poßeckert","Vijaya-Bhaskar Adusumalli"],"tags":["Work (physics)","Interface (matter)","Automotive industry","Engineering","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-24","doi":"https://doi.org/10.3384/ecp21891","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4393050641","name":"Role of the World Organisation for Animal Health in global wildlife disease surveillance","source":"openalex","abstract":"This paper examines the role of the World Organisation for Animal Health (WOAH) in the global surveillance and management of pathogens. Since the creation of WOAH, one of its missions has been to ensure transparency of the global animal health situation. WOAH established a Working Group on Wildlife in 1994 to inform and advise WOAH Members, leadership, and technical teams on issues relating to wildlife health. In 2020 it conducted a consultation with its Members before developing a Wildlife Health Framework to improve global health and wildlife conservation. WOAH Members report diseases in wildlife, but detections are dependent on the surveillance systems in place. As an example of data collected in the most recent years (2019-2023), 154 countries have reported 68,862,973 cases, through alert messages and weekly updates, for 84 diseases. One-hundred and fifty countries have reported 68,672,115 cases in domestic animals and 95 countries have reported 190,858 cases in wild animals. These figures illustrate the performance of the organization in collecting data on wildlife, and provide an indication of the difference in completeness of data collected in domestic animals and wildlife. There are several challenges to wildlife disease surveillance and real figures remain unknown; they depend on the existence, quality and sensitivity of national surveillance. A WOAH-led One Health approach with cross-sectoral collaboration is needed to improve surveillance sensitivity, address the challenges and help safeguard wildlife population health and biodiversity conservation.","url":"https://doi.org/10.3389/fvets.2024.1269530","authors":["Lesa A. Thompson","Claire Cayol","Lina Awada","Sophie Muset","Dharmaveer Shetty","Jingwen Wang","Paolo Tizzani"],"tags":["Wildlife","Wildlife disease","Transparency (behavior)","Wildlife conservation","One Health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-20","doi":"https://doi.org/10.3389/fvets.2024.1269530","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7155184031","name":"AIoT-Enabled Digital Twin Systems For Industrial Automation And Smart Manufacturing","source":"openalex","abstract":"The integration of AIoT technology with DT technologies is the basis of a new industrial revolution in industrial automation and intelligent manufacturing. This study develops a framework for AIoT-based digital twin systems, which combines live IoT data with AI simulation and optimization models. The designed model is based on a four-layer cyber-physical structure including data gathering from the edge, stochastic simulation, state encoding using graph attention networks, and closed-loop execution. The framework was analyzed using 10,000 stochastic simulations and a 12-week industrial experiment in which the system performed schedule performance of 96.8%, OEE of 84.7%, and 16.5% reduction in energy consumption per tonnage produced. The developed multi-objective reinforcement learning algorithm showed an integrated relationship between waste reduction and increased OEE (r = -0.73), with a total OEE improvement of 34.1% due to sustainable processes. The global AI-powered digital twin market is forecasted to grow up to $12 billion by 2030 with 26.2% CAGR.","url":"https://doi.org/10.5281/zenodo.19699028","authors":["Nafisa S","Dr. Balaji. K"],"tags":["Automation","Engineering","Schedule","Scheduling (production processes)","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.19699028","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7126116497","name":"G. Stamatakos, the Father of In Silico Medicine, chairs the In Silico Oncology Track at the VPH 2026 - 9th International Conference on the Virtual Physiological Human, Milan, Italy, 1-4 September 2026 - CALL FOR ABSTRACTS","source":"openalex","abstract":"I am pleased to share that I will be chairing the track \"In Silico Oncology\" at the conference VPH 2026 (Virtual Physiological Human 2026). The conference will be held in Milan, Italy from 1 to 4 September 2026. I am looking forward to engaging discussions and high-quality contributions! [Click the blue text below to visit the corresponding webpage or to download the corresponding article.] Abstract submissions are now open until March 2. 🔗 https://vph-conference.org/abstract-submission/ 📌 SAVE THE DATE 9th International Conference on the Virtual Physiological Human (VPH) 📍 September 1–4, Politecnico di Milano 🔗 https://vph-conference.org/ It is worth noting that in silico oncology in its form of in silico radiation oncology served as the concrete paradigm for the formal foundation of in silico medicine as a distinct discipline in 2002 through the publication Stamatakos et al., \"In silico radiation oncology: combining novel simulation algorithms with current visualization techniques,\" in Proceedings of the IEEE, vol. 90, no. 11, pp. 1764-1777, Nov. 2002, doi: 10.1109/JPROC.2002.804685, https://ieeexplore.ieee.org/document/1046955). The open access accepted manuscript of the paper is available at https://zenodo.org/records/18317236 . Proceedings of the IEEE is a top-tier, peer-reviewed technology journal. More information on the emergence and formalization of in silico medicine and digital (virtual) twins in oncology and beyond is available in Stamatakos, G. (2026). History of the emergence and formalization of in silico medicine. Zenodo. https://doi.org/10.5281/zenodo.18328392 . Relevant Resource Link to the graphics video titled “Episode 9: Beating childhood cancer with in silico medicine” (2025). The video focuses on the use of the digital twin (virtual human twin) “Oncosimulator” in pediatric oncology for the individualization and optimization of cancer treatment through the conduct of in silico experiments (experiments on the computer) i.e. through in silico oncology: https://www.youtube.com/watch?v=SCIpzxq8zW4 Research Professor Georgios S. Stamatakos Father of In Silico Medicine https://doi.org/10.5281/zenodo.18328392 Institute of Communication and Computer Systems (ICCS) School of Electrical and Computer Engineering (ECE) National Technical University of Athens (NTUA) Director and Founder, In Silico Oncology and In Silico Medicine Group, ICCS, ECE, NTUA Visiting Professor, Medical School, University of Saarland, Germany (1/7–15/9/2019) Visiting Professor, ECE, NTUA (2016-2019) Co-Chair, Cancer and In Silico Oncology Task Force, Avicenna Alliance - Association for Predictive Medicine Editor, Scientific Reports, Nature Portfolio Iroon Polytechniou 9, GR 157 80 Zografos, Greece E-Mail: gestam@central.ntua.gr , Tel. +30 210 7722287, www.in-silico-oncology.iccs.ntua.gr","url":"https://doi.org/10.5281/zenodo.18406897","authors":["Georgios Stamatakos"],"tags":["In silico","Computer science","Track (disk drive)","Medical physics","Radiation oncology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.5281/zenodo.18406897","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4416386384","name":"Laser Technologies of Welding, Surfacing and Regeneration of Metals with HCP Structure (Mg, Ti, Zr): State of the Art, Challenges and Prospects","source":"openalex","abstract":"Metals with a hexagonal close-packed (HCP) structure such as magnesium, titanium and zirconium constitute key structural materials in the aerospace, automotive, biomedical and nuclear energy industries. Their welding and regeneration by conventional methods is hindered due to the limited number of slip systems, high reactivity and susceptibility to the formation of defects. Laser technologies offer precise energy control, minimization of the heat-affected zone and the possibility of producing joints and coatings of high quality. This article constitutes a comprehensive review of the state of knowledge concerning laser welding, cladding and regeneration of HCP metals. The physical mechanisms of laser beam interactions are discussed including the dynamics of the keyhole channel, Marangoni flows and the formation of gas defects. The characteristics of the microstructure of joints are presented including the formation of α' martensite in titanium, phase segregation in magnesium and hydride formation in zirconium. Particular attention is devoted to residual stresses, techniques of cladding protective coatings for nuclear energy with Accident Tolerant Fuel (ATF) and advanced numerical modeling using artificial intelligence. The perspectives for the development of technology are indicated including the concept of the digital twin and intelligent real-time process control systems.","url":"https://doi.org/10.3390/ma18225237","authors":["Adam Zwoliński","Sylwester Samborski","Jakub Rzeczkowski"],"tags":["Materials science","Welding","Laser","Microstructure","Residual stress"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-19","doi":"https://doi.org/10.3390/ma18225237","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W3137637703","name":"JAK/STAT inhibition augments soleus muscle function in a rat model of critical illness myopathy via regulation of complement C3/3R","source":"openalex","abstract":"KEY POINTS: Critical illness myopathy (CIM) is a frequently observed negative consequence of modern critical care. Chronic Janus kinase (JAK)/signal transducer and activator of transcription activation impairs muscle size and function and is prominent following mechanical ventilation. We identify pSTAT-3 activation in tibialis anterior of CIM patients, before examining the potential benefits of JAK1/2 inhibition in an experimental model of CIM, where muscle mass and function are impaired. CIM activates complement cascade and increased monocyte infiltration in the soleus muscle, which was ameliorated by JAK1/2 inhibition, leading to reduced muscle degeneration and improved muscle force. Here, we demonstrate that JAK1/2 inhibition augments CIM muscle function through regulation of the complement cascade. ABSTRACT: Critical illness myopathy (CIM) is frequently observed in response to modern critical care with negative consequences for patient quality of life, morbidity, mortality and healthcare costs. Janus kinase (JAK)/signal transducer and activator of transcription (STAT) activation is observed in limb muscles following controlled mechanical ventilation. Chronic JAK/STAT activation promotes loss of muscle mass and function. Thus, we hypothesized that JAK1/2 inhibition would improve muscle outcomes for CIM. Following 12 days of intensive care unit conditions, pSTAT-3 levels increased in tibialis anterior muscle of CIM patients (P = 0.0489). The potential of JAK1/2 inhibition was assessed in an experimental model of CIM, where soleus muscle size and force are impaired. JAK1/2 inhibition restores soleus force (P < 0.0001). CIM activated muscle complement cascade, which was ameliorated by JAK1/2 inhibition (P < 0.05, respectively). Soleus macrophage number corresponded with complement activity, leading to reduced muscle degeneration and augmented muscle function (P < 0.05). Thus, JAK/STAT inhibition improves soleus function by modulating the complement cascade and muscle monocyte infiltration. Collectively, we demonstrate that JAK/STAT inhibition augments muscle function in CIM.","url":"https://doi.org/10.1113/jp281220","authors":["Alex B. Addinsall","Nicola Cacciani","Hazem Akkad","Heba Salah","Tamar Tchkonia","James L. Kirkland","Lars Larsson"],"tags":["Janus kinase","STAT protein","Medicine","JAK-STAT signaling pathway","Internal medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-21","doi":"https://doi.org/10.1113/jp281220","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165817174","name":"OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology","source":"openalex","abstract":"Precision medicine in ophthalmology requires accurate longitudinal predictions, but the fragmented nature of multimodal clinical data remains a barrier to forecasting. We introduce OphthaDT, an LLM-based digital twin for ophthalmology that serializes longitudinal patient histories from 3,220 patients across four Phase III clinical trials into structured narratives to forecast best corrected visual acuity (BCVA). In benchmarks spanning up to 100 weeks, OphthaDT demonstrated the lowest prediction error in neovascular age-related macular degeneration (nAMD), achieving an average mean absolute error (MAE) reduction of 6.0% compared to all baselines. In diabetic macular edema (DME), OphthaDT demonstrated competitive performance against all baselines while outperforming Random Forest and XGBoost by an average MAE reduction of 2.6% and 6.9%, respectively. Results reveal that OphthaDT's predictive advantage scales with trajectory complexity: whereas linear models remain effective for the more stable treatment responses of DME, OphthaDT's capacity is better suited for capturing the high longitudinal variability of nAMD. Finally, OphthaDT handles irregular sampling without imputation, positioning LLM-based clinical trajectory modeling as a methodology that could reduce patient burden and accelerate drug development.","url":"https://openalex.org/W7165817174","authors":["Pietro Belligoli","Nikita Makarov","Sayedali Shetab Boushehri","Fabian Schmich","Raul Rodriguez-Esteban","Michael Menden"],"tags":["Visual acuity","Macular degeneration","Artificial intelligence","Computer science","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-20","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4378903086","name":"Impact of environmental policies on the profitability of greenhouse agriculture in southeastern Spain","source":"openalex","abstract":"Abstract Sustainable development has become an essential criterion for structural policies of the European Union, and these policies have extended its environmental dimensions. The EU has decided that circular economy will be framed within the principles of sustainable development. Thus, the changes brought forth will affect activities like agriculture, where environmental policy can undermine the stability of agricultural systems by reducing their profitability. The objective of this study was to evaluate how the implementation of these techniques impacted the southeastern peninsula of Spain, a farming region that supports the sovereignty and food security of the European Union in terms of fruit and vegetable products. The production techniques evaluated can increase production costs by up to 5.5%, although there are no significant differences in crop profitability. It is necessary to guarantee that all producers can access the incentive system to reduce their economic pressure, due in many cases to financial losses. In this regard, it is necessary to establish a specific green architecture for this subsector that factors in the effects of inflation to balance the triple aspect of sustainability.","url":"https://doi.org/10.1002/sd.2616","authors":["Francisco José Castillo‐Díaz","Luis Jesús Belmonte Ureña","Ana Batlles‐delaFuente","Francisco Camacho‐Ferre"],"tags":["European union","Profitability index","Agriculture","Sustainability","Common Agricultural Policy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-30","doi":"https://doi.org/10.1002/sd.2616","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2748380502","name":"Prophylactic inhibition of neutrophil elastase prevents the development of chronic neuropathic pain in osteoarthritic mice","source":"openalex","abstract":"BACKGROUND: A subset of osteoarthritis (OA) patients experience joint pain with neuropathic characteristics. Mediators such as neutrophil elastase, a serine proteinase, may be released during acute OA inflammatory flares. We have previously shown that local administration of neutrophil elastase causes joint inflammation and pain via activation of proteinase-activated receptor-2 (PAR2). The aim of this study was to examine the contribution of endogenous neutrophil elastase and PAR2 to the development of joint inflammation, pain, and neuropathy associated with monoiodoacetate (MIA)-induced experimental OA. METHODS: MIA (0.3 mg/10 μl) was injected into the right knee joint of male C57BL/6 mice (20-34 g). Joint inflammation (edema, leukocyte kinetics), neutrophil elastase proteolytic activity, tactile allodynia, and saphenous nerve demyelination were assessed over 14 days post-injection. The effects of inhibiting neutrophil elastase during the early inflammatory phase of MIA (days 0 to 3) were determined using sivelestat (50 mg/kg i.p.) and serpinA1 (10 μg i.p.). Involvement of PAR2 in the development of MIA-induced joint inflammation and pain was studied using the PAR2 antagonist GB83 (5 μg i.p. days 0 to 1) and PAR2 knockout animals. RESULTS: MIA caused an increase in neutrophil elastase proteolytic activity on day 1 (P < 0.0001), but not on day 14. MIA also generated a transient inflammatory response which peaked on day 1 (P < 0.01) then subsided over the 2-week time course. Joint pain appeared on day 1 and persisted to day 14 (P < 0.0001). By day 14, the saphenous nerve showed signs of demyelination. Early treatment with sivelestat and serpinA1 blocked the proteolytic activity of neutrophil elastase on day 1 (P < 0.001), and caused lasting improvements in joint inflammation, pain, and saphenous nerve damage (P < 0.05). MIA-induced synovitis was reversed by early treatment with GB83 and attenuated in PAR2 knockout mice (P < 0.05). PAR2 knockout mice also showed reduced MIA-induced joint pain (P < 0.0001) and less nerve demyelination (P = 0.81 compared to saline control). CONCLUSIONS: Neutrophil elastase and PAR2 contribute significantly to the development of joint inflammation, pain, and peripheral neuropathy associated with experimental OA, suggesting their potential as therapeutic targets.","url":"https://doi.org/10.1186/s12974-017-0944-0","authors":["Milind M. Muley","Eugene Krustev","Allison Reid","Jason J. McDougall"],"tags":["Neutrophil elastase","Medicine","Elastase","Inflammation","Osteoarthritis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-08-23","doi":"https://doi.org/10.1186/s12974-017-0944-0","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4285577223","name":"Digital Twin: tecnologías y procedimentos para su generación","source":"openalex","abstract":"Este informe ha sido elaborado por el equipo del Centro Tecnológico Naval y del Mar y los contenidos están estrechamente relacionados con el desarrollo del proyecto Mining process & analysis for Digital Twin - Aplicación del Process Mining al modelado y análisis de proceso industriales con una alta componente manual para la creación de su Gemelo Digital; financiado por el Instituto de Fomento de la Región de Murcia. Para la realización de este informe se han aplicado técnicas de Vigilancia Tecnológica, una herramienta al servicio de las empresas y organizaciones que permite detectar oportunidades y amenazas aportándoles ventajas competitivas y fundamentos para la toma de decisiones estratégicas mediante la selección y análisis de información de diversos tipos","url":"https://doi.org/10.5281/zenodo.4389317","authors":["I. Felis","Rosa Martínez","Carmen Garrido","Nicolás Andrés","Jordi Solé","Paula Gómez","Ma Ángeles García"],"tags":["Computer science","Humanities","Philosophy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-23","doi":"https://doi.org/10.5281/zenodo.4389317","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3205621273","name":"An approach to evaluate the sealing performance of sealing structures based on multiscale contact analyses","source":"openalex","abstract":"Abstract The evaluation of sealing performance is important in the design stage and assembly process of sealing structures. To date, analyses of sealing structures have rarely quantitatively evaluated sealing performance: They tend to neglect microsurface topographic information or simplify rough surfaces. Herein, we propose a new and efficient simulation approach to analyse sealing performance based on a multiscale contact model. In this simulation approach, a new parameter, critical preload, is used as the index of sealing performance. The validity of the proposed index was verified using the case of a cone seal. The evolution of the contact characteristics during the assembly process, such as the real contact area, the distribution of contact pressure, and contact status, were studied in detail.","url":"https://doi.org/10.1093/jcde/qwab055","authors":["Runliang Wang","Jianhua Liu","Feikai Zhang","Xiaoyu Ding"],"tags":["Seal (emblem)","Process (computing)","Contact area","Mechanical engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-10","doi":"https://doi.org/10.1093/jcde/qwab055","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7141494263","name":"“Interaction Twin in the middle”: a distributed digital twin architecture to model team interactions and dynamics for deep space missions","source":"openalex","abstract":"NASA’s Moon to Mars campaign emphasizes the need for crews and habitat systems to operate with increasing autonomy as communication delays with Earth grow beyond 5 minutes. The digital twin framework has emerged as a promising solution to monitor, diagnose, predict, and optimize space systems, but prior aerospace applications have largely centered on system autonomy rather than crew autonomy. As a result, current approaches under-represent the interaction dynamics needed by mission control to continuously evolve procedure and accomplish mission objectives. This work introduces an Interaction Digital Twin (IDT) framework that twins the interactions between humans and systems rather than focusing only on individual entities. Built on a distributed digital twin architecture with bidirectional information flow, the framework integrates three complementary types of twins: Digital Twins for habitat systems, Human Digital Twins (HDTs) for individual crew members, and Interaction Digital Twins that capture emergent phenomena such as team cohesion, trust calibration, coordination, and adaptive autonomy. Twinning the interactions moves aspects of command and control on-board, giving crew mission-control-like capabilities even during periods of communication delay. We apply the framework to an Artemis Phase II mission scenario, demonstrating how interaction-level twinning extends system-level modeling to support cognitive workload management, information sharing, and human–autonomy teaming. By elevating interactions to first-class, inference-capable elements within the digital twin architecture, this framework bridges the gap between technical system models and the human teaming constructs essential for self-sufficient deep space exploration.","url":"https://doi.org/10.3389/fpace.2026.1736392","authors":["Patrick K. Pischulti","Min Young Hwang","Christopher McComb","Katya Arquilla"],"tags":["Computer science","NASA Deep Space Network","Space exploration","Human–computer interaction","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-27","doi":"https://doi.org/10.3389/fpace.2026.1736392","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7163517963","name":"FRAMEWORK PARA IMPLEMENTAÇÃO DE DIGITAL TWINS URBANOS COM FOCO EM LICENCIAMENTO DIGITAL","source":"openalex","abstract":"This paper proposes a methodological framework for the implementation of Urban Digital Twin (UDT) platforms in Brazil, with a specific focus on the automation of project licensing and the modernization of urban governance. The research addresses the transformation of Building Information Modeling (BIM) from a design tool into an instrument of territorial management, allowing urban legislation to be converted into computable rules. The framework is structured into five pillars: (1) Governance and Engagement, (2) Urban Data Platform, (3) Technology Stack, (4) Applications and Services, and (5) Digital Urban Licensing. This last pillar details a workflow for submitting projects in IFC format, automatic compliance validation with parameters such as floor area ratio, occupancy rate, and building height, and the generation of preliminary technical reports. The proposed methodology aims to increase transparency, reduce subjectivity and delays in approval processes, and create an auditable digital history of buildings. It is concluded that the adoption of a BIM-based UDT for digital licensing represents a significant advance for the modernization of public administration and for the construction of smarter, more efficient cities in the Brazilian context.","url":"https://doi.org/10.63391/5d2b6t88","authors":["Fabio Junio Rodrigues da Silva"],"tags":["Modernization theory","Workflow","Computer science","Digital transformation","Legislation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-03","doi":"https://doi.org/10.63391/5d2b6t88","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7204264373","name":"DIGITAL TRANSFORMATION IN COMMERCE: AI-DRIVEN OPPORTUNITIES","source":"openalex","abstract":"In the 2026 business environment, digital transformation has progressed beyond including stand-alone digital technologies to embracing \"Agentic Ecosystems.\" The evolution of artificial intelligence (AI) from a recommendation engine to an independent decision-maker is examined in this essay. This report highlights important revenue and efficiency potential by examining the transition to Agentic Commerce, where AI agents negotiate on behalf of customers and brands, and the deployment of Supply Chain Digital Twins. The results indicate that although predictive orchestration lowers operational costs, \"Micro-personalization\"—the capacity to modify the entire customer journey in real-time depending on individual cognitive and emotional intent—is currently the main value generator. AI is now the central operating system of the retail ecosystem rather than just a supporting tool, marking a significant turning point in the digital transformation of business. We explore the potential of supply chain digital twins, hyper-personalized emotional intelligence, and multi-agent systems. According to the study, the execution of \"standing intents\" using standardized protocols like the Universal Commerce Protocol (UCP) has replaced aggregate data collecting as the major value generator. According to our findings, companies who implement an AI-native architecture have notable increases in productivity, including a 35% decrease in stock outs and a 20% increase in customer satisfaction.","url":"https://doi.org/10.5281/zenodo.22112085","authors":["Chetana M.H."],"tags":["Digital transformation","Software deployment","Computer science","Supply chain","Digital ecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.5281/zenodo.22112085","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7201838840","name":"Digital Twin Readiness and Green Entrepreneurship: Evidence from the Baltic States","source":"openalex","abstract":"Abstract This study examines whether the digital twin readiness of the Baltic countries is systematically related to green entrepreneurship. Using unified country–industry–year panel data for Estonia, Latvia and Lithuania from 2015 to 2024, we construct a digital twin readiness index (DTRI) based on five enterprise-level digital capability indicators: artificial intelligence, the Internet of Things, cloud computing, big data analytics and ICT experts. DTRI is interpreted as a readiness indicator, rather than direct evidence of enterprise-level adoption. Green entrepreneurial outcomes are measured by clean technology start-up formation, green venture capital mobilisation and environment-related patent applications. The empirical strategy combines two-way fixed-effects models, staggered difference-in-differences estimates and an instrumental-variable specification based on a Bartik-style semiconductor price shock interacted with historical ICT intensity. Results show that higher DTRI is more consistently associated with venture-capital mobilisation and green patenting than with start-up formation. The strongest associations appear in Lithuania's energy-related activities and Estonia's manufacturing sector. The study contributes by shifting digital twin analysis from firm-level deployment to meso-level readiness, distinguishing entry, financing and innovation margins of green entrepreneurship and adding evidence from small open post-transition economies to twin transition debates.","url":"https://doi.org/10.2478/ceej-2026-0017","authors":["Wei‐Zhen Zhou","Anatolijs Kriviņš"],"tags":["Construct (python library)","Information and Communications Technology","Business","Panel data","Entrepreneurship"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.2478/ceej-2026-0017","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7153400371","name":"Accelerating instead of Waiving Planning: Opportunities and Challenges of Digital Building Land Cadastres in Urban Digital Twins","source":"openalex","abstract":"Building land registers have the task of providing potential areas for construction activities and developing them for the demand for residential, commercial and open space. They are therefore an essential basis for the ability of municipalities to plan strategically for future land use and to help implement development objectives. The emergence of artificial intelligence, open and free geodata and new technologies in data collection is creating new possibilities and business models for capturing potential areas. The data integration, evaluation and provision of the collected information, in turn, benefits from the development of Urban Digital Twins (UDT). Model projects show that UDTs potentially strengthen cooperation between authorities, the private sector and stakeholders. Existing software solutions already contain relevant data, which makes it easier to design the information model for a UDT. This article focuses on the adaptation, scaling, and establishment of these solutions in the process management of land management. For this purpose, the current state of development for two common software solutions (ArcGIS Urban©, Urbanistic©) is compared for the requirements of land management. The focus is onthe design of land registers that conforms to the criteria of a new norm on digitals twins for cities and municipalities (DIN SPEC 91607). The results show that methodological approaches are mostly designed as GIS functions and challenging to implement. This learning from our test was further substantiated in discussions with experts, where the seamless integration of benchmarking functions and scenario indicators in UDTis seen as a main requirement for the technical progress and added value for planning. Artificial intelligence is of particular importance in the collection, processing and integration of auxiliary data. The recommendations in the article conclude that new requirements for information management in urban planning have emerged. They require investments in the development of enhanced land management cadastres which benefit from UDT functions. Their introduction in local planning requires that organizations adapt new process management techniques. The accelerated activation of building land, which has recently been introduced through reforms of the building law in Germany (“Bauturbo”), requires a speedier and more comprehensive evaluation of urban development quality criteria if sustainability criteria are still to play a role. Over time, we expect that UDT technologies will help in this context.","url":"https://openalex.org/W7153400371","authors":["Stefan Fina","Florian Rack","Antonia Finger","Martina Königbauer"],"tags":["Computer science","Process (computing)","Land use","Plan (archaeology)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-25","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7126103392","name":"G. Stamatakos, the Father of In Silico Medicine, chairs the In Silico Oncology Track at the VPH 2026 - 9th International Conference on the Virtual Physiological Human, Milan, Italy, 1-4 September 2026 - CALL FOR ABSTRACTS","source":"openalex","abstract":"I am pleased to share that I will be chairing the track \"In Silico Oncology\" at the conference VPH 2026 (Virtual Physiological Human 2026). The conference will be held in Milan, Italy from 1 to 4 September 2026. I am looking forward to engaging discussions and high-quality contributions! [Click the blue text below to visit the corresponding webpage or to download the corresponding article.] Abstract submissions are now open until March 2. 🔗 https://vph-conference.org/abstract-submission/ 📌 SAVE THE DATE 9th International Conference on the Virtual Physiological Human (VPH) 📍 September 1–4, Politecnico di Milano 🔗 https://vph-conference.org/ It is worth noting that in silico oncology in its form of in silico radiation oncology served as the concrete paradigm for the formal foundation of in silico medicine as a distinct discipline in 2002 through the publication Stamatakos et al., \"In silico radiation oncology: combining novel simulation algorithms with current visualization techniques,\" in Proceedings of the IEEE, vol. 90, no. 11, pp. 1764-1777, Nov. 2002, doi: 10.1109/JPROC.2002.804685, https://ieeexplore.ieee.org/document/1046955). The open access accepted manuscript of the paper is available at https://zenodo.org/records/18317236 . Proceedings of the IEEE is a top-tier, peer-reviewed technology journal. More information on the emergence and formalization of in silico medicine and digital (virtual) twins in oncology and beyond is available in Stamatakos, G. (2026). History of the emergence and formalization of in silico medicine. Zenodo. https://doi.org/10.5281/zenodo.18328392 . Relevant Resource Link to the graphics video titled “Episode 9: Beating childhood cancer with in silico medicine” (2025). The video focuses on the use of the digital twin (virtual human twin) “Oncosimulator” in pediatric oncology for the individualization and optimization of cancer treatment through the conduct of in silico experiments (experiments on the computer) i.e. through in silico oncology: https://www.youtube.com/watch?v=SCIpzxq8zW4 Research Professor Georgios S. Stamatakos Father of In Silico Medicine https://doi.org/10.5281/zenodo.18328392 Institute of Communication and Computer Systems (ICCS) School of Electrical and Computer Engineering (ECE) National Technical University of Athens (NTUA) Director and Founder, In Silico Oncology and In Silico Medicine Group, ICCS, ECE, NTUA Visiting Professor, Medical School, University of Saarland, Germany (1/7–15/9/2019) Visiting Professor, ECE, NTUA (2016-2019) Co-Chair, Cancer and In Silico Oncology Task Force, Avicenna Alliance - Association for Predictive Medicine Editor, Scientific Reports, Nature Portfolio Iroon Polytechniou 9, GR 157 80 Zografos, Greece E-Mail: gestam@central.ntua.gr , Tel. +30 210 7722287, www.in-silico-oncology.iccs.ntua.gr","url":"https://doi.org/10.5281/zenodo.18406898","authors":["Georgios Stamatakos"],"tags":["In silico","Computer science","Track (disk drive)","Medical physics","Radiation oncology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.5281/zenodo.18406898","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4391839668","name":"A Literature Review of Seaport Decarbonisation: Solution Measures and Roadmap to Net Zero","source":"openalex","abstract":"This paper provides a comprehensive review of the literature related to seaport decarbonisation by combining the academic literature with case studies, industrial reports, newsletters, and domain knowledge. Through the literature review, the emission sources at seaports are categorised according to different criteria for better understanding. One of the criteria is the geographic location, which divides the emission sources into four categories. For each emission source category, the emission reduction measures in the literature are categorised into six structured categories including operational measures, technical measures, fuel and energy measures, infrastructural measures, digitalisation measures, and policy and collaboration measures. The first three categories have a direct impact on emission reductions, whereas the last three categories tend to support and facilitate the development and implementation of the first three categories. Representative case studies are selected from the UK ports to discuss their decarbonisation practices and pathways to net zero. We then propose a generic time-phased roadmap for port decarbonisation towards net zero, which divides the solution measures in each category into three phases to show their progressive processes. We explain the dependence relationships of the solution measures in the roadmap and discuss the challenges and opportunities in the implementation of the roadmap. This paper could offer strategic guidelines to port-associated stakeholders to implement emission reduction strategies and transition to net zero from the system perspective.","url":"https://doi.org/10.3390/su16041620","authors":["Dong‐Ping Song"],"tags":["Port (circuit theory)","Zero emission","Business","Engineering","Electrical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-15","doi":"https://doi.org/10.3390/su16041620","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7168389407","name":"HVCB TCC Twin: Digital Twin Calibration of High-Voltage Circuit Breaker Trip Coils from Open Field Data","source":"openalex","abstract":"The pipeline calibrates a hybrid electromechanical model of the HVCB trip coil against open field trip-coil-current (TCC) records, quantifies parameter identifiability and uncertainty, derives an uncertainty-aware failure-to-trip margin map, and estimates an interval-censored survival baseline per voltage class. Code accompanying a manuscript submitted to IEEE Transactions on Instrumentation and Measurement (2026).","url":"https://doi.org/10.5281/zenodo.21366154","authors":["Israel Gondres Torné"],"tags":["Calibration","Circuit breaker","Instrumentation (computer programming)","Pipeline (software)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-15","doi":"https://doi.org/10.5281/zenodo.21366154","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4416418991","name":"Strategies to Enhance Stability of Cryopreservation Processes for Cell-Based Products","source":"openalex","abstract":"The projected expansion of the global market for cell manufacturing, which contributes to regenerative medicine and cell therapies, warrants the designing and development of scalable cryopreservation processes for cell-based products (CBPs) for use in both standard and personalized therapies. However, the change in scale causes variations in process parameters, which affects the stability of the CBP quality. Therefore, the cryopreservation process for CBPs needs to be designed based on the concept of cell manufacturability and consideration of both engineering and biological aspects. In this review, we discussed strategies to enhance the quality stability of CBPs during cryopreservation, focusing primarily on four key processes: dispensing, freezing, storage, and thawing. Additionally, we discussed the application of simulation technologies because they aid in constructing digital twins for the designing and development of the cryopreservation process and facilitate efficiency with limited time and resources.","url":"https://doi.org/10.1016/j.biotechadv.2025.108763","authors":["Yuki Uno","Yusuke Hayashi","Hirokazu Sugiyama","Jun Okuda","Tetsuji Nakamura","Masahiro Kino‐oka"],"tags":["Cryopreservation","Design for manufacturability","Biochemical engineering","Scalability","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-20","doi":"https://doi.org/10.1016/j.biotechadv.2025.108763","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4377103916","name":"Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research","source":"openalex","abstract":"Additive manufacturing (AM) offers unique capabilities in terms of design freedom and customization, contributing to sustainable manufacturing. However, energy efficiency remains a challenge in the widespread adoption of AM processes. In this paper, we present a comprehensive review of the current research on energy efficiency in AM, addressing challenges, opportunities, and future directions. Our analysis reveals a lack of standardization in the measurement and reporting of energy consumption, making it difficult to evaluate and compare the energy performance of various systems. We propose a holistic framework to address energy efficiency throughout the entire life cycle of the AM process, highlighting the importance of design optimization, material selection, advanced control systems, and energy management strategies. The paper also emphasizes the need for further research on the interactions between process parameters, along with the potential of integrating renewable energy sources into AM systems. This review offers valuable insights for both academics and industry professionals, calling for standardized methodologies and a focus on energy management to optimize energy efficiency in AM processes, ultimately enhancing competitiveness and sustainability in modern manufacturing.","url":"https://doi.org/10.3390/en16104179","authors":["Gökan May","Foivos Psarommatis"],"tags":["Efficient energy use","Standardization","Risk analysis (engineering)","Process (computing)","Energy management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-18","doi":"https://doi.org/10.3390/en16104179","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203717547","name":"Digital technologies in rice blast disease management: a comprehensive systematic review of artificial intelligence, IoT, blockchain, and emerging digital tools","source":"openalex","abstract":"Rice blast, caused by Magnaporthe oryzae (syn. Pyricularia oryzae ), is the most destructive fungal disease of rice, posing a major threat to global food security. Recent advances in artificial intelligence (AI) and digital agriculture have transformed disease detection, monitoring, and management; however, evidence on their effectiveness remains fragmented. This study presents a PRISMA 2020-compliant systematic review of AI-driven and digital technologies for rice blast management. A total of 2,056 records published between January 2021 and May 2026 were retrieved from PubMed, Scopus, Google Scholar, and Semantic Scholar, of which 109 peer-reviewed studies met the eligibility criteria following duplicate removal and multi-stage screening. Deep learning, particularly convolutional neural networks, dominated the literature, with reported detection accuracies reaching 99.75% under controlled conditions. YOLO-family models were the most widely used object detectors, while hyperspectral imaging, UAV-based remote sensing, and IoT-enabled sensing systems showed considerable promise for early and large-scale disease surveillance. Explainable AI was incorporated in only seven studies, and just 7% validated their models under real field conditions, highlighting a substantial gap between laboratory performance and practical deployment. No eligible studies investigated blockchain, digital twins, or federated learning for rice blast management. The review identifies key research priorities, including field-scale validation, pre-symptomatic detection, explainable AI, low-cost IoT platforms, blockchain-enabled traceability, and digital twin frameworks to enable robust, scalable, and trustworthy AI-driven rice blast management.","url":"https://doi.org/10.1016/j.atech.2026.102488","authors":["Sandip Garai","Suryakant Manik","K.K. Kanaka","Sudhir Kumar","V. P. Bhadana","Nishit Malviya"],"tags":["Engineering","Emerging technologies","Computer science","Systems engineering","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.1016/j.atech.2026.102488","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W3190463157","name":"May the Force Be with You (Or Not): The Immune System under Microgravity","source":"openalex","abstract":"All terrestrial organisms have evolved and adapted to thrive under Earth's gravitational force. Due to the increase of crewed space flights in recent years, it is vital to understand how the lack of gravitational forces affects organisms. It is known that astronauts who have been exposed to microgravity suffer from an array of pathological conditions including an impaired immune system, which is one of the most negatively affected by microgravity. However, at the cellular level a gap in knowledge exists, limiting our ability to understand immune impairment in space. This review highlights the most significant work done over the past 10 years detailing the effects of microgravity on cellular aspects of the immune system.","url":"https://doi.org/10.3390/cells10081941","authors":["Mei ElGindi","Jiranuwat Sapudom","Ibrahim Hamed Ibrahim","Mohamed Al‐Sayegh","Weiqiang Chen","Anna Garcia‐Sabaté","Jeremy Teo"],"tags":["Immune system","Weightlessness","Aeronautics","Medicine","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-07-30","doi":"https://doi.org/10.3390/cells10081941","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7126067330","name":"VPH 2026 - 9th International Conference on the Virtual Physiological Human. Milan 1-4 September 2026 - Track: IN SILICO ONCOLOGY - Chaired by G. Stamatakos, the Father of In Silico Medicine - CALL FOR ABSTRACTS","source":"openalex","abstract":"[Click the blue text below to visit the corresponding webpage or to download the corresponding article.] I am pleased to share that I will be chairing the track \"In Silico Oncology\" at the conference VPH 2026 (Virtual Physiological Human 2026). The conference will be held in Milan, Italy from 1 to 4 September 2026. I am looking forward to engaging discussions and high-quality contributions! Abstract submissions are now open until March 2. 🔗 https://vph-conference.org/abstract-submission/ 📌 SAVE THE DATE 9th International Conference on the Virtual Physiological Human (VPH) 📍 September 1–4, Politecnico di Milano 🔗 https://vph-conference.org/ It is worth noting that in silico oncology in its form of in silico radiation oncology served as the concrete paradigm for the formal foundation of in silico medicine as a distinct discipline in 2002 through the publication Stamatakos et al., \"In silico radiation oncology: combining novel simulation algorithms with current visualization techniques,\" in Proceedings of the IEEE, vol. 90, no. 11, pp. 1764-1777, Nov. 2002, doi: 10.1109/JPROC.2002.804685, https://ieeexplore.ieee.org/document/1046955). The open access accepted manuscript of the paper is available at https://zenodo.org/records/18317236 . Proceedings of the IEEE is a top-tier, peer-reviewed technology journal. More information on the emergence and formalization of in silico medicine and digital (virtual) twins in oncology and beyond is available in Stamatakos, G. (2026). History of the emergence and formalization of in silico medicine. Zenodo. https://doi.org/10.5281/zenodo.18328392 . Related Resource Link to the graphics video titled “Episode 9: Beating childhood cancer with in silico medicine” (2025). The video focuses on the use of the digital twin (virtual human twin) “Oncosimulator” in pediatric oncology for the individualization and optimization of cancer treatment through the conduct of in silico experiments (experiments on the computer) i.e. through in silico oncology: https://www.youtube.com/watch?v=SCIpzxq8zW4 Research Professor Georgios S. Stamatakos Father of In Silico Medicine https://doi.org/10.5281/zenodo.18328392 Institute of Communication and Computer Systems (ICCS) School of Electrical and Computer Engineering (ECE) National Technical University of Athens (NTUA) Director and Founder, In Silico Oncology and In Silico Medicine Group, ICCS, ECE, NTUA Visiting Professor, Medical School, University of Saarland, Germany (1/7–15/9/2019) Visiting Professor, ECE, NTUA (2016-2019) Co-Chair, Cancer and In Silico Oncology Task Force, Avicenna Alliance - Association for Predictive Medicine Editor, Scientific Reports, Nature Portfolio Iroon Polytechniou 9, GR 157 80 Zografos, Greece E-Mail: gestam@central.ntua.gr , Tel. +30 210 7722287, www.in-silico-oncology.iccs.ntua.gr","url":"https://doi.org/10.5281/zenodo.18399006","authors":["Georgios Stamatakos"],"tags":["In silico","Medicine","Medical physics","Computer science","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.5281/zenodo.18399006","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7149591110","name":"Centriolar Damage Accumulation Theory of Aging (CDATA) Digital Twin (DT)","source":"openalex","abstract":"The mechanistic integration of cellular aging drivers remains a central challenge in biogerontology. We present the Centriolar Damage Accumulation Theory of Aging (CDATA) v3.3.0, a unified theory and an accompanying high-performance digital twin simulator (Cell-DT v3.0) that proposes the centriole as a primary timekeeper and damage integrator of somatic aging. The core formalism models the accumulation of centriolar damage as a function of replication, decaying youth protection programs, and modifiers including hormetic senescence-associated secretory phenotype (SASP) signaling, asymmetric division fidelity, and tissue-specific kinetics. The theory is implemented via eight integrated mechanisms. A novel five-component Model Composite Aging Index (MCAI) – distinguished from clinical frailty indices – synthesizes centriole damage, SASP burden, stem pool depletion, telomere attrition, and CHIP variant allele frequency. The model’s 32 parameters were calibrated using Markov Chain Monte Carlo (MCMC) methods on a cohort of 62,000 synthetic records scaled to established human aging trajectories (20–50 years). The Cell-DT simulator, built in Rust using an Entity-Component-System architecture, achieves high-performance deterministic simulation. Internal consistency was demonstrated on the MCMC cohort and independent hold-out validation for the composite MCAI (combined R² = 0.84). This validation is against synthetic data; prospective biological validation against longitudinal human cohort data (e.g., NHATS, UK Biobank) is required to assess predictive biological power. CDATA v3.3.0 provides a quantitative, testable, and simulatable framework for in silico hypothesis generation.","url":"https://doi.org/10.65649/h8mkb688","authors":["Mariam Goletiani"],"tags":["In silico","Biology","Computational biology","Computer science","Markov chain Monte Carlo"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.65649/h8mkb688","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7117582076","name":"The Mechanism of Holistic Smart Service Based on Digital Twin in the Metaverse Scenario","source":"openalex","abstract":"The Metaverse, as the next evolutionary stage of the internet, is redefining interaction paradigms between humans, objects, and environments. In this context, traditional smart service models face challenges such as insufficient immersion, delayed personalization, and physical-virtual disconnection. This study explores how to construct a new \"Holistic Smart Service (HSS)\" mechanism in the Metaverse using Digital Twin (DT) technology. We first define HSS as a closed-loop service system integrating high-fidelity perception, real-time intelligent decision-making, immersive interaction, and value co-creation. Then, we propose a three-layer M-DT-HSS (Metaverse-Digital Twin-Holistic Smart Service) model and formally define its core components—service state space, user intention recognition function, and physical-digital synergy optimization function. Based on this model, we design a five-layer system architecture (perception, twin construction, AI engine, interaction presentation, and value co-creation layers) and elaborate on the implementation path from data fusion to service generation. Finally, we validate the proposed mechanism through a virtual smart community service prototype system. Experiments show that our approach outperforms traditional models in critical indicators: user satisfaction increases by 28.7%, service response latency decreases by 63.2%, and resource utilization efficiency improves by 41.5%. This research provides a theoretical framework for smart services in the Metaverse era and guides their engineering implementation.","url":"https://doi.org/10.54097/gxrbas91","authors":["Weibin Zhao","Jing Zhang","Xueyong Li"],"tags":["Computer science","Metaverse","Service (business)","Human–computer interaction","Construct (python library)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.54097/gxrbas91","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4405373774","name":"Exploring the Synergy of Advanced Lighting Controls, Building Information Modelling and Internet of Things for Sustainable and Energy-Efficient Buildings: A Systematic Literature Review","source":"openalex","abstract":"Buildings are responsible for approximately 40% of global energy consumption, putting pressure on the construction industry to mitigate its environmental impact. Therefore, there is an urgent need for innovative solutions to reduce power consumption, particularly in lighting systems. This study’s primary objective was to investigate novel integrated lighting solutions that significantly reduce energy use, as well as to explore their enhancement through Building Information Modelling (BIM) and the Internet of Things (IoT) to improve energy efficiency further and reduce the carbon footprint of buildings. Hence, this literature review examined energy-saving actions, retrofitting practices and interventions across a range of multi-use buildings worldwide, focusing on research from 2019 to 2024. The review was conducted using Scopus and Web of Science databases, with inclusion criteria limited to original research. The objective was to diagnose the goals being undertaken and ultimately validate new actions and contributions to minimise energy consumption. After applying eligibility criteria, 48 studies were included in the review. First, daylight harvesting and retrofitting solutions were examined using the latest technologies and external shading. The review indicates a lack of proper coordination between daylight and electrical lighting, resulting in energy inefficiency. Secondly, it reviews how the integration of BIM facilitates the design process, providing a complete overview of all the building variables, thus improving indoor daylight performance and proper lighting with energy analysis. Lastly, the review addresses the role of the Internet of Things (IoT) in providing real-time data from sensor networks, allowing for continuous monitoring of building conditions. This systematic literature review explores the integration of these fields to address the urgent need for innovative strategies and sustainability in the built environment. Furthermore, it thoroughly analyses the current state of the art, identifying best practices, emerging trends and concrete insight for architects, engineers and researchers. The goal is to promote the widespread adoption of low-carbon systems and encourage collaboration among industry professionals and researchers to advance sustainable building design. Ultimately, a new parametric design framework is proposed, consisting of five iterative phases that cover all design stages. This framework is further enhanced by integrating BIM and IoT, which can be used together to plan, reconfigure, and optimise the building’s performance.","url":"https://doi.org/10.3390/su162410937","authors":["Gabriele Zocchi","Seyed Morteza Hosseini","Georgios Triantafyllidis"],"tags":["Architectural engineering","Energy consumption","Building information modeling","Retrofitting","Carbon footprint"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-13","doi":"https://doi.org/10.3390/su162410937","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7128498769","name":"Emerging Technologies as Enablers of Sustainable Management: A Comprehensive Framework — The Role of Saudi Arabia’s Vision 2030","source":"openalex","abstract":"Emerging technologies are increasingly recognized as key drivers of sustainable man-agement, and Saudi Arabia presents a unique context in which digital transformation and sustainability have been strategically integrated under the Vision 2030 national reform agenda. While digitalization and sustainability have been examined inde-pendently in international scholarship, fewer studies have explored how emerging technologies enable sustainable management within national transformation contexts. This conceptual review synthesizes recent interdisciplinary literature to examine the enabling role of artificial intelligence (AI), blockchain, the Internet of Things (IoT), big data analytics, and cloud computing in advancing sustainability-oriented management practices in Saudi Arabia. Drawing on technology adoption and sustainability transition perspectives, the paper develops a conceptual framework linking technological capa-bilities to sustainability performance across environmental, social, economic, and gov-ernance (ESG) dimensions. The study outlines theoretical, managerial, and policy im-plications and proposes a future research agenda relevant to Saudi Arabia’s ongoing digital and sustainability transition. The paper contributes to bridging digital trans-formation and sustainability scholarship and provides a conceptual foundation for empirical studies within Gulf and emerging economy contexts.","url":"https://doi.org/10.20944/preprints202602.0741.v1","authors":["Ahmed Abaker","Mustafa Elgili","Bushara Arees"],"tags":["Sustainability","Conceptual framework","Context (archaeology)","Knowledge management","Emerging technologies"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.20944/preprints202602.0741.v1","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7133241728","name":"AI-Driven Thermal Management Optimization for Lithium-Ion Battery Packs: A Surrogate Model Approach to Cell Spacing Design","source":"openalex","abstract":"The article presents the possibilities of integrating artificial intelligence (through specific machine learning techniques) in the design and construction process of a battery in order to optimize its thermal management. The workflow starts from CFD thermal simulations (1C-rate) of a battery (16 Li-ion cells, type 18650, 4 × 4 arrangement), and based on the results, a complex thermal landscape is created through radial basis function (Rbf) interpolation. Furthermore, a robust neural network (NN) model is proposed and validated through the obtained performances, which is used further for the optimization of the design space (DSO) and multi-objective optimization (MOO) processes. The obtained results show that for DSO, a cell spacing of 1.37 mm is proposed for a maximum cell temperature of 25.53 °C, and in the case of MOO, a cell spacing of 2.64 mm (for minimum fan energy consumption). The main conclusion of the obtained results shows that the use of the NN model as a surrogate (the Digital Twin of a physical model) presents two great advantages in the process of designing a battery: running a CFD simulation for each point on the 2D grid would take hours, while the NN model can generate the entire map and find the optimum in less than 2 s, and moreover, thousands of additional points can be evaluated to find the thin limit of optimal models, effectively filtering out thousands of energy-consuming “suboptimal” configurations.","url":"https://doi.org/10.3390/batteries12030086","authors":["Florin Mariașiu","I. Szabo","George E. Mariasiu"],"tags":["Surrogate model","Battery (electricity)","Process (computing)","Computer science","Computational fluid dynamics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-02","doi":"https://doi.org/10.3390/batteries12030086","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7199629187","name":"Using digital twins for demand forecasting and inventory management in e-commerce","source":"openalex","abstract":"В условиях цифровой трансформации экономики и стремительного роста электронной коммерции традиционные методы прогнозирования спроса и управления товарными запасами демонстрируют недостаточную эффективность. Данная работа посвящена исследованию потенциала технологии цифровых двойников как инновационного инструмента для оптимизации логистических процессов в онлайн-ритейле. В статье рассматривается сущность технологии, анализируются механизмы ее интеграции с системами прогнозирования спроса на основе искусственного интеллекта и больших данных. Особое внимание уделяется практическим кейсам применения цифровых двойников в деятельности зарубежных и отечественных компаний, включая опыт Республики Беларусь. На основе анализа открытых данных и научных публикаций проведена оценка экономической эффективности внедрения цифровых двойников в складскую логистику электронной коммерции на примере крупнейшего белорусского онлайн-гипермаркета 21vek.by. В заключении систематизированы основные барьеры и перспективы развития технологии в контексте цифровой трансформации электронной коммерции.","url":"https://openalex.org/W7199629187","authors":["А. Л. Исайкина","Д. А. Каштелян"],"tags":["Demand forecasting","Inventory management","Business","Computer science","Operations research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160085659","name":"Capacity Building in Africa: Training the Next Generation of Surveyors in Building High-Accuracy Digital Twins in South Africa","source":"openalex","abstract":"Abstract. During the Federation Internationale des Geometres (FIG) Annual Meeting 2026 in Cape Town, the Department: Land Reform and Rural Development (DLRRD) will demonstrate its approach to high-resolution 3D mapping. By combining long-dwell DGNSS surveying, Continuously Operating Receiver Stations (CORS) DGNSS, and DGNSS-enabled drones, we have been able to map urban, rural, remote, and indigenous regions with 5 cm absolute accuracy, with a significant increase in efficiency over traditional ground surveying.The intention of the training is to provide a comprehensive and detailed demonstration of the methodology. For executives and directors, we will focus the first and last sessions on understanding how to be an effective consumer of high-accuracy 3D collection programmes. The intermediate sessions will take the participants through an accelerated collection program, including participating in the collection of a site in the Cape Town area. Participants will perform mission planning, collection planning, collection execution (including ground control surveying in the field), post-processing, quality control, exploitation into GIS/GISc and digital twins, and post-mission documentation, including an out brief to the executive/director participants.Historically, the maintenance of authoritative geodetic databases is the function of the national geodetic survey organizations, such as the Chief Directorate: National Geo-spatial Information (CD: NGI) in South Africa and their equivalent organizations worldwide. Every authoritative 3D database suffers from a burden of currency and completeness, in which the time between resurvey events defines an epoch during which the previous survey ages sufficiently to be marginally adequate for current needs. Issues of cost, access, and update frequency limit the quality, coverage, and currency of any curated database.The transition to hybrid surveying using drones provides a unique opportunity in that the drones directly exploit the local and national geodetic DGNSS framework and produce dense, high-resolution, highly accurate 3D imagery. This hybrid surveying approach was pioneered by the Survey of India in the Survey of Villages Abadi and Mapping with Improvised Technology in Village Area) (SVAMITVA) project that successfully mapped 60 million rural land parcels.South Africa has embraced this model and applied it directly to mapping 836 Indigenous regions that lack detailed property maps. DGNSS-enabled drone surveys extend the precision and accuracy of RSA’s DGNSS network (TrigNet) for cadastral mapping of property suitable for its Land Planning Programme (LPP). DLRRD is building a prototype of an off-grid, locally managed, and operated GISc work site built into transportable containers that bring the GISc, communications, and drone infrastructure to the local community.","url":"https://doi.org/10.5194/isprs-archives-xlviii-m-10-2025-1-2026","authors":["M. C. Abrams","C. Heimann","S. Minnie"],"tags":["Data collection","Indigenous","Capacity building","Currency","Training (meteorology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.5194/isprs-archives-xlviii-m-10-2025-1-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165498945","name":"Design of a Digital Twin for Material Tracking Using RTLS and Business Intelligence","source":"openalex","abstract":"Diplomová práca sa zaoberá návrhom riešenia digitálneho dvojčaťa pre sledovanie materiálu v prostredí zákazkovej výroby s využitím technológie RTLS a nástrojov Business Intelligence. Analytická časť identifikuje kľúčové problémy súčasného stavu a požiadavky na riešenie. Na základe výsledkov analýzy a SWOT syntézy je navrhnutý modul traceability pre platformu digitálneho dvojčaťa, ktorý kombinuje RFID identifikáciu materiálu s GPS lokalizáciou vysokozdvižných vozíkov a umožňuje real-time sledovanie polohy materiálových jednotiek v priestore výrobného areálu. Súčasťou návrhu je dátový model, UX koncept pre hlavné používateľské roly a rozšírenie Business Intelligence o priestorový kontext s navrhovanými dashboardmi pre operatívne, taktické aj strategické riadenie. Výsledkom je škálovateľný koncept riešenia s definovanou cestou ďalšieho rozvoja.","url":"https://openalex.org/W7165498945","authors":["Patrik Hudec"],"tags":["Real-time locating system","Traceability","Computer science","Tracking (education)","SWOT analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7169863875","name":"Animal digital twins: systems architecture for climate-smart protein production","source":"openalex","abstract":"Animal digital twins couple sensor observations and farm records with process-based, data-driven or hybrid models to maintain continuously updated representations of animal state and management outcomes. Using ruminant methane as the principal illustration, this Perspective presents a nested architecture spanning animal, farm, supply chain and governance layers, and proposes six actions for climate-smart deployment. Credibility depends on ground-truth calibration, uncertainty-aware verification, farmer control and designs matched to local infrastructure.","url":"https://doi.org/10.1038/s44433-026-00019-4","authors":["Suresh Raja Neethirajan"],"tags":["Credibility","Production (economics)","Computer science","Architecture","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-21","doi":"https://doi.org/10.1038/s44433-026-00019-4","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4396736839","name":"An Investigative Study to Examine Impact of Digitalisation on Manufacturing Supply Chains","source":"openalex","abstract":"This study delves into how the COVID-19 pandemic impacted the Malaysian glove industry's supply chain and triggered the adoption of digitalization to enhance supply chain performance (SCP). Through surveys and interviews, it was discovered that the pandemic negatively affected business performance but prompted increased digitalization adoption. Commonly utilized digital solutions include Big Data Analytics (BDA), Internet of Things (IoT), and Cloud Computing (CC), while less commonly adopted solutions include Augmented Reality (AR) and Additive Manufacturing (AM). The research underscores a positive link between digitalization and SCP, stressing the significance of digital capabilities in sustaining supply chain resilience and responsiveness. However, challenges such as cultural shifts in work practices and investment apprehensions impede digitalization endeavors. The study provides insights for industry practitioners on harnessing digitalization to alleviate supply chain disruptions and offers recommendations for effective digitalization strategies.","url":"https://doi.org/10.37394/232025.2024.6.8","authors":["Satya Shah","Siew Chen","Elmira Naghi Ganji"],"tags":["Supply chain","Business","Manufacturing engineering","Process management","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-08","doi":"https://doi.org/10.37394/232025.2024.6.8","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7126026202","name":"VPH 2026 - 9th International Conference on the Virtual Physiological Human. Milan 1-4 September 2026 - Track: IN SILICO ONCOLOGY - Chaired by G. Stamatakos, the Father of In Silico Medicine - CALL FOR ABSTRACTS","source":"openalex","abstract":"[Click the blue text below to visit the corresponding webpage or to download the corresponding article.] I am pleased to share that I will be chairing the track \"In Silico Oncology\" at the conference VPH 2026 (Virtual Physiological Human 2026). The conference will be held in Milan, Italy from 1 to 4 September 2026. I am looking forward to engaging discussions and high-quality contributions! Abstract submissions are now open until March 2. 🔗 https://vph-conference.org/abstract-submission/ 📌 SAVE THE DATE 9th International Conference on the Virtual Physiological Human (VPH) 📍 September 1–4, Politecnico di Milano 🔗 https://vph-conference.org/ It is worth noting that in silico oncology in its form of in silico radiation oncology served as the concrete paradigm for the formal foundation of in silico medicine as a distinct discipline in 2002 through the publication Stamatakos et al., \"In silico radiation oncology: combining novel simulation algorithms with current visualization techniques,\" in Proceedings of the IEEE, vol. 90, no. 11, pp. 1764-1777, Nov. 2002, doi: 10.1109/JPROC.2002.804685, https://ieeexplore.ieee.org/document/1046955). The open access accepted manuscript of the paper is available at https://zenodo.org/records/18317236 . Proceedings of the IEEE is a top-tier, peer-reviewed technology journal. More information on the emergence and formalization of in silico medicine and digital (virtual) twins in oncology and beyond is available in Stamatakos, G. (2026). History of the emergence and formalization of in silico medicine. Zenodo. https://doi.org/10.5281/zenodo.18328392 . Related Resource Link to the graphics video titled “Episode 9: Beating childhood cancer with in silico medicine” (2025). The video focuses on the use of the digital twin (virtual human twin) “Oncosimulator” in pediatric oncology for the individualization and optimization of cancer treatment through the conduct of in silico experiments (experiments on the computer) i.e. through in silico oncology: https://www.youtube.com/watch?v=SCIpzxq8zW4 Research Professor Georgios S. Stamatakos Father of In Silico Medicine https://doi.org/10.5281/zenodo.18328392 Institute of Communication and Computer Systems (ICCS) School of Electrical and Computer Engineering (ECE) National Technical University of Athens (NTUA) Director and Founder, In Silico Oncology and In Silico Medicine Group, ICCS, ECE, NTUA Visiting Professor, Medical School, University of Saarland, Germany (1/7–15/9/2019) Visiting Professor, ECE, NTUA (2016-2019) Co-Chair, Cancer and In Silico Oncology Task Force, Avicenna Alliance - Association for Predictive Medicine Editor, Scientific Reports, Nature Portfolio Iroon Polytechniou 9, GR 157 80 Zografos, Greece E-Mail: gestam@central.ntua.gr , Tel. +30 210 7722287, www.in-silico-oncology.iccs.ntua.gr","url":"https://doi.org/10.5281/zenodo.18399005","authors":["Georgios Stamatakos"],"tags":["In silico","Medicine","Medical physics","Computer science","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-28","doi":"https://doi.org/10.5281/zenodo.18399005","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7148696961","name":"Artificial intelligence in orthopedics: current applications, challenges, and future directions","source":"openalex","abstract":"BACKGROUND: Artificial intelligence research in orthopedics has grown rapidly, yet a substantial gap remains between technical development and clinical translation. This narrative review summarizes current applications of artificial intelligence in orthopedic practice and highlights barriers to implementation. MAIN BODY: Current work converges on three domains: machine learning for structured perioperative risk prediction, deep learning for standardized musculoskeletal imaging, and large language models for workflow and decision support. Applications such as automated fracture detection, Kellgren-Lawrence grading for osteoarthritis, and transfusion risk modeling are approaching clinical maturity. However, routine adoption is limited by algorithmic opacity, performance degradation in new clinical environments, and poor fit within existing workflows. We argue that progress should shift from increasing model complexity toward rigorous evaluation, including external validation on independent cohorts. In addition, probability calibration and uncertainty estimation are important for trustworthy risk communication. Future directions may include multimodal \"digital twin\" approaches that integrate electronic medical records, imaging phenotypes, and intraoperative data into patient-specific trajectories. CONCLUSIONS: The clinical impact of artificial intelligence in orthopedics will depend on life-cycle governance and demonstrated net benefit, prioritizing reliability and implementation science over retrospective benchmark performance.","url":"https://doi.org/10.1186/s43019-026-00317-5","authors":["Sang Yoon Kim","Byung Sun Choi","Hyuk-Soo Han","Du Hyun Ro"],"tags":["Workflow","Artificial intelligence","Computer science","Machine learning","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-03","doi":"https://doi.org/10.1186/s43019-026-00317-5","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7155451435","name":"Digital twin-based hybrid framework for steam generator clogging prognostics","source":"openalex","abstract":"We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code, heterogeneous and sparse observational data, and several uncertainty quantification techniques to obtain a robust estimate of the steam generator remaining useful life associated with the clogging rate. The proposed framework is compatible with a digital twin platform to assist maintenance planning of EDF steam generators.","url":"https://openalex.org/W7155451435","authors":["Edgar Jaber","Emmanuel Remy","Vincent Chabridon","Morgane Garo-Sail","Mathilde Mougeot","Didier Lucor","Jerome Delplace","Maxime Lointier"],"tags":["Prognostics","Clogging","Boiler (water heating)","Engineering","Generator (circuit theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-21","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2979653694","name":"Pregnancy posting: exploring characteristics of social media posts around pregnancy and user engagement","source":"openalex","abstract":"BACKGROUND: Pregnant women use the Internet and social networking sites to meet a variety of pregnancy-related needs as well as to help make decisions regarding their pregnancy and/or parenting. Knowing more about the current landscape of social networking sites as it relates to pregnancy can inform future work that wants to leverage social media for education or support. METHODS: Across a 7-day period, we conducted a content analysis of 4 Facebook pregnancy-related groups and 4 Instagram pregnancy-related channels. The posts were coded based on the nature, content, and purpose of each post as well as the number of likes, shares, and comments for each. After establishing inter-rater reliability, univariate statistics were used to describe the nature, characteristics, and popularity of the posts for each group or channel. We then used logistic regressions to predict which characteristics were associated with being popular or unpopular with users. RESULTS: There were 288 eligible posts within the 7-day window. Only a small proportion of the large (182,000 to 2,527,712) amount of followers responded with likes or comments (comments: mean =0.02%, SD =0.04%; likes: mean =0.36%, SD =0.89%). Facebook posts tended to give more general pregnancy-related information or opportunities for personal sharing while Instagram posts often had emotional support themes or posts meant to make pregnancy relatable. Popular posts tended to try to make pregnancy more relatable (OR =4.21, P<0.01) or offer emotional support (OR =4.62, P<0.01), while unpopular posts tended to provide general pregnancy-related information (OR= 2.17, P<0.05). CONCLUSIONS: In general, there were clear characteristics that differentiated the two social networking site posts that garner user attention or not. This can inform how to provide health information and social support via social media to maximize its influence. This work suggests which features are desirable for followers and can help those interested in leveraging Instagram and Facebook to provide pregnancy-related health information.","url":"https://doi.org/10.21037/mhealth.2019.09.09","authors":["Jessica R. Oviatt","Stephanie M. Reich"],"tags":["Pregnancy","Popularity","Social media","Leverage (statistics)","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.21037/mhealth.2019.09.09","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7204279250","name":"DIGITAL TRANSFORMATION IN COMMERCE: AI-DRIVEN OPPORTUNITIES","source":"openalex","abstract":"In the 2026 business environment, digital transformation has progressed beyond including stand-alone digital technologies to embracing \"Agentic Ecosystems.\" The evolution of artificial intelligence (AI) from a recommendation engine to an independent decision-maker is examined in this essay. This report highlights important revenue and efficiency potential by examining the transition to Agentic Commerce, where AI agents negotiate on behalf of customers and brands, and the deployment of Supply Chain Digital Twins. The results indicate that although predictive orchestration lowers operational costs, \"Micro-personalization\"—the capacity to modify the entire customer journey in real-time depending on individual cognitive and emotional intent—is currently the main value generator. AI is now the central operating system of the retail ecosystem rather than just a supporting tool, marking a significant turning point in the digital transformation of business. We explore the potential of supply chain digital twins, hyper-personalized emotional intelligence, and multi-agent systems. According to the study, the execution of \"standing intents\" using standardized protocols like the Universal Commerce Protocol (UCP) has replaced aggregate data collecting as the major value generator. According to our findings, companies who implement an AI-native architecture have notable increases in productivity, including a 35% decrease in stock outs and a 20% increase in customer satisfaction.","url":"https://doi.org/10.5281/zenodo.22112084","authors":["Chetana M.H."],"tags":["Digital transformation","Software deployment","Computer science","Supply chain","Digital ecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.5281/zenodo.22112084","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7128688587","name":"A Review of Artificial Intelligence-Driven Smart Treatment of Aquaculture Effluent: Technical Framework, Application Scenarios, and Development Outlook","source":"openalex","abstract":"Efficient treatment of aquaculture effluent is a crucial measure for ensuring the green and sustainable development of fisheries and alleviating pressure on aquatic ecosystems. However, traditional treatment technologies face bottlenecks of low efficiency and poor adaptability, making it difficult to meet the pollution control demands of large-scale aquaculture development. This is a systematic review focusing on artificial intelligence (AI) applications in aquaculture effluent treatment, aiming to clarify the technical framework, core application scenarios, industry trends, challenges, and future directions of AI-driven aquaculture effluent treatment. It first outlines core machine learning technologies, compares model adaptability, and analyzes AI synergies with IoT and digital twins. It then details AI implementation pathways across four core scenarios: precision feeding for pollution reduction, water quality monitoring and prediction, development of denitrifying and phosphorus-removing engineering bacteria, and system module control. Finally, it validates technical effectiveness through case studies, identifies industry trends toward integrated models and predictive monitoring, highlights existing challenges, such as data quality bottlenecks, system coupling complexity, and insufficient implementation economics, and proposes future research directions. This study provides theoretical foundations and practical references for the intelligent upgrading of aquaculture effluent treatment and the high-quality development of the fisheries industry.","url":"https://doi.org/10.3390/w18040470","authors":["Zhaoxin Wang","Rong Tang","Guanda Chen","Hui Li","Yale Deng","Jingfang Shen","Dapeng Li"],"tags":["Aquaculture","Engineering","Quality (philosophy)","Sustainable development","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-12","doi":"https://doi.org/10.3390/w18040470","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4391349783","name":"Recent Trends and Issues of Energy Management Systems Using Machine Learning","source":"openalex","abstract":"Energy management systems (EMSs) are regarded as essential components within smart grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising solution. A comprehensive review of current literature and trends has been conducted with a focus on key areas, such as distributed energy resources, energy management information systems, energy storage systems, energy trading risk management systems, demand-side management systems, grid automation, and self-healing systems. The application of ML in EMS is discussed, highlighting enhancements in data analytics, improvements in system stability, facilitation of efficient energy distribution and optimization of energy flow. Moreover, architectural frameworks, operational constraints, and challenging issues in ML-based EMS are explored by focusing on its effectiveness, efficiency, and suitability. This paper is intended to provide valuable insights into the future of EMS.","url":"https://doi.org/10.3390/en17030624","authors":["Seongwoo Lee","Joonho Seon","Byung-Sun Hwang","Soo Hyun Kim","Young Ghyu Sun","Jin‐Young Kim"],"tags":["Computer science","Energy management","Energy (signal processing)","Industrial engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-27","doi":"https://doi.org/10.3390/en17030624","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7169841137","name":"A Bibliometric Mapping of Digital Twins and AI: Scientific Trends and Research Frontiers","source":"openalex","abstract":"This study examines the literature on integrating digital twins and Artificial Intelligence using bibliometric data to analyze productivity and collaboration.It presents publication distribution by year, leading countries, institutions, and authors, and identifies research trends through keyword and thematic cluster analyses.The results highlight the increasing importance of this integration and the growing trend of international collaboration.Data were collected on June 23, 2025, from the Web of Science Core Collection (WoS) using the query '(TI=(Digital Twin) AND TS=(AI)) AND (DT==(\"ARTICLE\"))', yielding 657 articles analyzed with VOSviewer (v1.6.20).Findings show that authors such as Tao and Fei, despite few publications, have high influence, while Fan and Zhong gained recognition with a single highly cited study.Strategic connectors include Wang, Fei-Yue, and Lv, while Zhang and Meng serve as \"hidden stars.\"Institutionally, NTNU stands out for centrality, while Nanjing University of Aeronautics and Astronautics leads in publication quantity but lags in impact.China dominates output, while the U.S., the U.K., and Canada excel in collaborative efforts.Thematic results reveal applications across manufacturing, healthcare, engineering, and city management, supported by machine learning, deep learning, 6G, and edge computing, as well as important social aspects like ethics and governance.","url":"https://doi.org/10.30855/gmbd.070526n09","authors":["Ahmet Doğan","Ahmet YURTSAL","Şerife Keleş"],"tags":["Data science","Computer science","Bibliometrics","Field (mathematics)","Library science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.30855/gmbd.070526n09","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4296910455","name":"Survey on Blockchain-Based IoT Payment and Marketplaces","source":"openalex","abstract":"The ever-growing smart applications will expand the Internet of Things (IoT) ecosystem to connect over 75 billion devices by 2025. IoT ecosystems comprise sensors that act as data suppliers and applications where monetary transactions are required to compensate the data producers. This signifies the importance of IoT payments and marketplaces to facilitate micro-transactions of billions of connected devices in the IoT ecosystem, which is heterogeneous, decentralized, and diverse. However, realizing such an ecosystem raises multiple challenges such as overcoming poor inter-operability, resource constraints, and security and privacy vulnerabilities of IoT devices and platforms. Blockchain is a Distributed Ledger Technology (DLT) that can be identified as a potential solution to overcome the challenges in realizing IoT payments and marketplaces. This is due to the characteristics of blockchain such as decentralization, traceability, immutability, and non-repudiation. This paper presents a comprehensive survey on blockchain-based IoT payments and marketplaces. This paper provides a brief introduction to the concepts of IoT payments and IoT marketplaces. Then the technical challenges involved in realizing IoT payment and marketplaces are discussed by highlighting the blockchain-based solutions. Furthermore, blockchain-based smart applications which use IoT marketplace and IoT payment concepts are presented marking the role of blockchain in each of the application. Subsequently, the paper discussed the integration challenges while also highlighting possible solutions. It is envisaged that this paper would shed light on the development of blockchain-based solutions to realize IoT payments and marketplaces.","url":"https://doi.org/10.1109/access.2022.3208688","authors":["Amila Saputhanthri","Chamitha de Alwis","Madhusanka Liyanage"],"tags":["Blockchain","Payment","Computer science","Traceability","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3208688","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7130723663","name":"Sustainable Development and the Surge in Electricity Demand Across Emerging Economies","source":"openalex","abstract":"Electricity plays a pivotal role in the operation and development of contemporary societies and economies, with its significance escalating as electricity-dependent technologies like electric vehicles and heat pumps gain prominence. Currently, power generation stands as the foremost contributor to global carbon dioxide emissions. However, it concurrently spearheads the transition towards achieving net zero emissions by swiftly expanding renewable energy sources like solar and wind power. Balancing the imperatives of ensuring secure and cost-effective electricity access for consumers while simultaneously mitigating global emissions represent a fundamental challenge in navigating the energy transition. The global expansion of electricity demand experienced a relatively modest increase of 2.2% in the fiscal year 2023, a slight deceleration from the 2.4% growth observed in the preceding fiscal period of 2022. Notwithstanding this moderation, anticipations indicate a prospective upturn in growth rates to a higher magnitude of 3.4% throughout the forecast period spanning 2024 to 2026. In addition, this trajectory of expansion is anticipated to be chiefly propelled by emerging markets, which persist in assuming a dominant role in the escalation of electricity demand, akin to their position in the year 2023.","url":"https://doi.org/10.65998/ijees.v2i1.77","authors":["Yasser F. Nassar","Mohamed Khaleel"],"tags":["Renewable energy","Electricity","Position (finance)","Natural resource economics","Emerging markets"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-22","doi":"https://doi.org/10.65998/ijees.v2i1.77","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4307262501","name":"Thermal Inkjet Printing: Prospects and Applications in the Development of Medicine","source":"openalex","abstract":"Over the last 10 years, inkjet printing technologies have advanced significantly and found several applications in the pharmaceutical and biomedical sector. Thermal inkjet printing is one of the most widely used techniques due to its versatility in the development of bioinks for cell printing or biosensors and the potential to fabricate personalized medications of various forms such as films and tablets. In this review, we provide a comprehensive discussion of the principles of inkjet printing technologies highlighting their advantages and limitations. Furthermore, the review covers a wide range of case studies and applications for precision medicine.","url":"https://doi.org/10.3390/technologies10050108","authors":["Jasim Uddin","Jasmin Hassan","Dennis Douroumis"],"tags":["Inkjet printing","Nanotechnology","Computer science","Inkwell","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-21","doi":"https://doi.org/10.3390/technologies10050108","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7204493374","name":"The Digital Frontier: A Narrative Review of Bio-Digital Twins, AI-Driven Orthodontics, and Ethical Clinical Integration","source":"openalex","abstract":"The transition from static digital records to dynamic Bio-Digital Twins is reshaping orthodontics by combining anatomical and functional data to simulate physiological behavior and improve diagnostic accuracy. This narrative review examines how artificial intelligence, including dynamic Bio-Digital Twins, can predict treatment duration, identify patients at risk of unplanned prolongation, and support personalized decision-making. A search of PubMed, ScienceDirect, Scopus, and Google Scholar was performed, focusing on digital workflows, precision orthodontics, aligner biomaterials, patient-reported outcomes, teleorthodontics, and the ethics of explainable AI. The evidence indicates that dynamic twins are more informative than conventional images because they integrate functional and biological data, while machine learning models estimate treatment time from clinical, imaging, and behavioral variables. Genetic, epigenetic, and multi-omics data further advance precision orthodontics. Successful implementation depends on high-quality data, explainable AI, reduction of algorithmic bias, and continued clinician oversight so that computational tools support rather than replace clinical judgment.","url":"https://doi.org/10.70829/ijrmcs.v04.i02.008","authors":["Adriana Penilla Diaz Adriana Penilla Diaz","Andrea Toledo Lopez Andrea Toledo Lopez","Laritza Farinas Martinez Laritza Farinas Martinez","Naira Bellinghieri Naira Bellinghieri","Rocio Romero Hernandez Rocio Romero Hernandez","Mary Diaz Albornoz Mary Diaz Albornoz"],"tags":["Narrative review","Narrative","Computer science","Precision medicine","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-12","doi":"https://doi.org/10.70829/ijrmcs.v04.i02.008","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4401057358","name":"Physical neural networks with self-learning capabilities","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11433-024-2403-x","authors":["Weichao Yu","Hangwen Guo","Jiang Xiao","Jian Shen"],"tags":["Computer science","Artificial neural network","Psychology","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-22","doi":"https://doi.org/10.1007/s11433-024-2403-x","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166891276","name":"Counterfactual Enabled Neuro-Symbolic Digital Twins for Intelligent Industrial Maintenance","source":"openalex","abstract":"Industrial predictive maintenance is a critical challenge in modern manufacturing, where unexpected equipment failures cause significant economic losses through downtime, repair costs, and disrupted production. Conventional maintenance approaches, whether reactive or schedule-based, are becoming inadequate to manage the high-dimensional sensor information of the IoT-enabled machineries. The paper presents a novel hybrid neuro-symbolic digital twin that builds upon Remaining Useful Life (RUL) estimation by combining temporal transformers, physics-informed constraints, and counterfactual reasoning. The model integrates complementary approaches into a single and interpretable predictive system. A temporal transformer backbone is a model of long-range dependencies in multivariate sensor time-series data allowing the detection of gradual patterns of degradation that are frequently overlooked by traditional models of recurrence. The learning objective contains physics-informed constraints that guarantee that predictions are consistent with the principles of thermodynamic, mechanical, and material fatigue, connecting data-driven learning to domain knowledge. A Conditional Variational Autoencoder (CVAE) produces counterfactual failure events, simulating alternative histories of operation, under hypothetical conditions. This mechanism increases data diversity, enables interpretable diagnostics, and reinforces neuro-symbolic reasoning. A method of improving maintenance policies with the help of multi-objective reinforcement learning (MORL) is applied to minimize downtime, unnecessary maintenance, and equipment life. The results of the experiments on 24,042 sensor measurements of CNC machines, pumps, compressors, and robotic arms show good results. The framework has attained RMSE of 21.52 h and a 0.918 score, R2 which is 25.1 percent better as compared to the baseline models. The accuracy of prediction of failures was 94.2 percent, and the maintenance policies were optimized to achieve a reduction in equipment failures by 51.7 percent compared to the rule-based scheduling, which is based on the fact that CVAE-generated counterfactual state transitions were used to train the Q-learning agent, which indicates the practicality of the framework.","url":"https://doi.org/10.32604/cmc.2026.083649","authors":["Nada Alzaben","Muhammad I. Khan","Hafeez Ur Rehman Siddiqui","Abeer Mirdad","Saeed Ali Bahaj"],"tags":["Counterfactual thinking","Predictive maintenance","Artificial intelligence","Machine learning","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.32604/cmc.2026.083649","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7128001098","name":"Mathematical Approaches for the Characterization and Analysis of Molecular Markers in the Study of the Progression and Severity of Amyotrophic Lateral Sclerosis","source":"openalex","abstract":"Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder for which despite its severity, no validated biomarker currently exists to support early diagnosis, limiting therapeutic effectiveness and patient survival. In this context, mathematical modeling therefore becomes essential: it allows us to maximize the information obtainable from a limited number of samples, identify patterns that may not be directly observable, and estimate the relative contribution of different molecular markers to ALS progression. In this work, we propose methods for qualitatively and quantitatively evaluating the relevance of selected biomarkers in ALS classification and disease-state identification and laying the foundations for the definition of a protocol useful for constructing “digital twins” of the entire process of study, diagnosis, and treatment of the disease from the perspective of innovative precision medicine.","url":"https://doi.org/10.3390/appliedmath6020022","authors":["Luisa Carracciuolo","Ugo D’Amora","Raffaele Dubbioso","Ines Fasolino"],"tags":["Amyotrophic lateral sclerosis","Limiting","Identification (biology)","Medicine","Biomarker"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-05","doi":"https://doi.org/10.3390/appliedmath6020022","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7202345108","name":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","source":"openalex","abstract":"Digital twins are increasingly used to monitor and simulate the behavior of cyber-physical systems. Even with skilled operators, interpreting anomalies detected within digital twin pipelines is challenging, as the sheer complexity and volume of raw sensor data make thorough analysis difficult. Recent advances in large language models (LLMs) offer promising capabilities for reasoning and explanation, yet their integration into digital twin-driven anomaly analysis remains underexplored. In this work, we propose AgenticTwin, an agentic framework that integrates LLM-driven reasoning with a digital twin-based anomaly detection pipeline. The framework grounds LLM-generated explanations in outputs from a digital twin-driven anomaly classifier and enables human operators to ask relevant natural-language questions about the system. Beyond the framework itself, we introduce a benchmark-oriented evaluation pipeline constructed over synthetic anomalies injected into a real-world weather sensor dataset, enabling controlled generation of operator queries over anomaly events. We further evaluate the feasibility of deploying lightweight, open-source LLMs for practical cyber-physical environments. Experimental results demonstrate that structured agent collaboration and knowledge-grounded reasoning improve diagnosis quality, contextual retrieval, and mitigation quality across diverse possible anomaly scenarios.","url":"https://doi.org/10.48550/arxiv.2608.11679","authors":["Tammem Hasan","Mounika Ghanta","Souvika Sarkar","Ujjwal Guin"],"tags":["Anomaly detection","Computer science","Anomaly (physics)","Pipeline (software)","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-12","doi":"https://doi.org/10.48550/arxiv.2608.11679","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160911824","name":"The Role of Digital Twins in Supplier Selection Criteria: Review and Research Directions","source":"openalex","abstract":"In the digitilisation era, digital twins improve supply chains by increasing productivity, cutting expenses, and guaranteeing customer response. Their connection to supply chains is still little understood, though. Several studies have investigated the interplay between supplier selection criteria, innovation, dynamic capabilities, and digital twins. Examining the role of digital twins in supplier selection is the goal of this paper. Through a methodical study of the literature, the author fills this gap by examining 39 chosen papers out of 3218 articles. evaluating how supplier selection criteria are affected by digital twins. According to the results, digital twins are mostly employed in the planning, manufacturing, and delivery processes; source and return procedures have seen less investigation. By facilitating just-in-time production, streamlining information, reducing waste, and optimizing logistics, they enhance lean methods. Nonetheless, there is a lack of research on supplier relationship management, customer relationship management, and top management commitment. For supplier selection to be efficiently utilized during decision-making, the digitisation part, which for this study is the digital twin, must be integrated into the organisations.","url":"https://doi.org/10.46254/gc03.20250327","authors":["Ndivhuwo Nemtajela"],"tags":["Selection (genetic algorithm)","Computer science","Business","Risk analysis (engineering)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"https://doi.org/10.46254/gc03.20250327","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2623538159","name":"Bony traits and genetics drive intraspecific variation in vertebrate elemental composition","source":"openalex","abstract":"Abstract Interspecific variation in elemental composition is well known and often leads to predictable differences in ecosystem interactions, but little is known about the extent, causes and importance of intraspecific variation in elemental composition. If intraspecific variation is substantial and has a genetic basis, it may underlie an important mechanism of evolutionary interplay with ecology as individuals compensate for evolutionary changes in elemental demand. To investigate the extent and causes of intraspecific elemental variation in vertebrates, we sampled evolutionary model speciesGasterosteus aculeatus(Threespine Stickleback) from 12 locations in British Columbia, Canada. Fish were phenotyped, genotyped forEdaalleles underlying lateral plate variation and assayed for elemental content (C, N, P). We found stickleback vary widely in elemental composition (2.2%–6.5% P; 3.0–9.4: 1 N:P). Phenotypic models explained the majority of this variation using bony armour traits (pelvis length, lateral plate count), bone mineralization, body size and condition. Subsequent genetic models found allelic variation atEdagenerates a 7%–14% change in whole organism N:P. AsEdaallele frequencies are commonly changed through strong natural selection in freshwater habitats, we infer that stickleback elemental composition can evolve rapidly. Further, as genetics are known to drive variation in many of the other influential traits, we conclude that genetic variation constitutes a major source of variation in the elemental composition ofGasterosteus aculeatus. As such, we find that elemental composition has a large evolutionary potential which may underlie important evo‐eco interactions. A plain language summary is available for this article.","url":"https://doi.org/10.1111/1365-2435.12919","authors":["Daniel J. Durston","Rana W. El‐Sabaawi"],"tags":["Intraspecific competition","Stickleback","Biology","Gasterosteus","Genetic variation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-06-09","doi":"https://doi.org/10.1111/1365-2435.12919","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7171286980","name":"Milano Cortina 2026: tecnologia e innovazione come legacy per le infrastrutture sportive italiane","source":"openalex","abstract":"Il presente contributo analizza l'impatto trasformativo delle tecnologie digitali applicate ai cantieri dei Giochi Olimpici e Paralimpici Invernali di Milano Cortina 2026, evidenziando come gli investimenti in corso (3,4 miliardi di euro distribuiti su 98 cantieri) rappresentino un laboratorio di innovazione per l'intero settore delle infrastrutture pubbliche e sportive in Italia. Il saggio esamina la convergenza sinergica tra Building Information Modelling (BIM) — strutturato in conformità al quadro normativo UNI EN ISO 19650-1:2019 — e Digital Twin (Gemello Digitale), intesa come modello strategico di governance del ciclo di vita delle opere. L'analisi ne declina le funzioni complementari: BIM come radice progettuale e informativa: Piattaforma collaborativa che integra dati tecnici, economici, geometrici ed ESG, consentendo di azzerare gli errori di coordinamento, ottimizzare i costi e garantire trasparenza tra tutti gli stakeholder (imprese, enti finanziatori, pubblica amministrazione); Digital Twin come gestione dinamica e manutenzione predittiva: Evoluzione del BIM integrata con sensori IoT, intelligenza artificiale e cloud computing, capace di monitorare in tempo reale consumi energetici, flussi di utenti e stato di usura dell'infrastruttura, sostituendo la manutenzione reattiva con modelli predittivi e sostenibili. Il lavoro conclude che l'adozione sistemica di questo continuum informativo da parte della Società Infrastrutture Milano Cortina 2020-2026 S.p.A. (SIMICO) e del Ministero delle Infrastrutture e dei Trasporti (MIT) costituisce una legacy tecnologica fondamentale. Standardizzare BIM e Digital Twin nell'impiantistica sportiva nazionale permetterà di trasformare stadi, palazzetti e spazi urbani in hub intelligenti, sicuri e trasparenti, ponendo nuovi standard per la rigenerazione urbana e la governance delle opere pubbliche nel Paese.","url":"https://doi.org/10.5281/zenodo.21591091","authors":["Paolo Raeli"],"tags":["Humanities","Political science","Supervisory board","Corporate governance","Embezzlement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-29","doi":"https://doi.org/10.5281/zenodo.21591091","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203666874","name":"PRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6G","source":"openalex","abstract":"Integrated sensing and communication (ISAC) and Digital Twin (DT) technology have emerged as complementary for future wireless networks that require autonomous operations involving continuous interaction between physical and digital worlds. However, existing DT-assisted ISAC frameworks sense continuously and indiscriminately while optimizing only a single task, leaving little room for persistent, multi-domain knowledge or proactive sensing control. This article proposes a Predictive, Reasoning-driven, Intelligent Sensing Module (PRISM) engine that transforms the DT from a passive, domain-specific optimizer into a persistent, network-wide reasoning system. PRISM enables decision-centric predictive perception, proactively directing sensing toward anticipated decisions needs rather than following fixed sensing schedules. Using an illustrative extremely large multiple-input multiple-output (XL-MIMO) deployment scenario with a mixed eMBB, URLLC, and mMTC device population, we show how this principle benefits visibility-region sensing for channel acquisition and supports slice-aware operation. Preliminary simulations, including this deployment scenario and the resulting knowledge error, overhead, and latency results, confirm that this decision-centric approach substantially reduces sensing overhead while preserving decision reliability and latency, supporting the proposed architecture as a practical step toward self-aware, autonomously orchestrated 6G networks.","url":"https://doi.org/10.48550/arxiv.2608.16197","authors":["Afan Ali","Daniel Benevides da Costa","Ali A. Nasir"],"tags":["Software deployment","Computer science","Latency (audio)","Reliability (semiconductor)","Overhead (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-17","doi":"https://doi.org/10.48550/arxiv.2608.16197","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7201839285","name":"Digital Twin Technology for Enhancing GOSP Performance and Oil Production Efficiency","source":"openalex","abstract":"Gas-oil separation plants (GOSPs) are tightly coupled production systems in which well behaviour, multiphase flow, separator performance, rotating equipment, instrumentation, pipelines, utilities and environmental constraints interact continuously. A digital twin can create operational value only when it connects these physical dependencies to traceable measurements, validated engineering models and accountable field decisions. This paper presents a practice-informed technical review and an implementation framework for applying digital-twin technology to GOSP performance and oil production efficiency. The work is informed by the author's current involvement in a digital-twin initiative and by AVEVA-oriented digital training, while deliberately excluding confidential project information. The proposed reference architecture integrates field and control-system data, AVEVA PI System for operational data management and contextualisation, AVEVA Process Simulation for online first-principles modelling, equipment-performance analytics, engineering information, and controlled operator or maintenance workflows. Technical depth is developed around three high-value use cases: three-phase separator stability, pump and compressor reliability, and production-deferment diagnosis. The paper defines the minimum model logic required for these applications, including phase mass balances, residence time, equipment-curve residuals, uncertainty-weighted data reconciliation, anomaly thresholds and constrained production optimisation. It also proposes a validation workflow based on historical events, shadow-mode operation, prediction error, false-alarm rate, missed-event rate and engineering acceptance. The review uses only sources that were traceable through a working DOI or an official institutional or vendor page at the time of preparation. The resulting framework positions the digital twin as a governed engineering decision system rather than a visual dashboard, and provides a technically defensible route for staged deployment in Saudi smart oil-field projects without overstating unverified benefits.","url":"https://doi.org/10.64388/irev10i2-1722212","authors":["Muhammed Asharaf T V"],"tags":["Workflow","Software deployment","Systems engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-07","doi":"https://doi.org/10.64388/irev10i2-1722212","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7203706847","name":"Hierarchical Agentic Incident Response with Digital-Twin-Validated Attack Inference","source":"openalex","abstract":"Network incident response remains slow and labor-intensive as the defender must infer multi-stage attacks from partial observations and translate recovery decisions into reliable system commands. Decision-theoretic planners provide principled optimization but typically rely on abstract states and predefined actions, while large language model (LLM) agents can reason over operational context but may hallucinate attacks and responses. Toward automating response planning, we present a hierarchical agentic response framework that integrates LLM-based attack inference, rollout planning, and digital-twin validation. A fine-tuned LLM infers the attack progression and affected hosts from security alerts and system measurements. An emulated network digital twin replays the inferred attack and returns discrepancies between predicted and observed effects to calibrate the inference. A separately fine-tuned planning agent uses the rollout planning method to prioritize affected components at the tactical layer. At the operational layer, the planning agent proposes high-level recovery actions, and an execution agent translates selected actions into recovery and verification commands that are validated in the digital twin. We evaluate the framework on a 33-component enterprise-network testbed under three multi-stage attack scenarios. The results show that our framework outperforms frontier-LLM baselines in recovery success rate by 18--31%.","url":"https://doi.org/10.48550/arxiv.2608.15016","authors":["Yiran Gao","Juntao Chen","Tao Li"],"tags":["Computer science","Hallucinating","Context (archaeology)","Inference","Testbed"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-15","doi":"https://doi.org/10.48550/arxiv.2608.15016","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7170075412","name":"A pipeline for automatic building reconstruction for Digital Twins in complex urban environments","source":"openalex","abstract":"Abstract. Automatic building reconstruction is a strategic component for creating urban Digital Twins (DTs), enabling the generation of accurate and interoperable Level of Detail 2 (LOD2) models. These models provide an essential standard for applications such as Geographic Information Systems (GIS), energy and hydraulic simulations, and urban planning. To address these needs, the MEDUSA (MEDiterraneo: Uso Sostenibile dell’Ambiente) project, promoted by the University of Salerno and funded by the Italian Space Agency (ASI), developed an innovative pipeline. The method was optimized to model areas with complex geometries and articulated roofs, utilizing the Amalfi Coast as a test area. The developed workflow is based on the City3D algorithm, integrating LiDAR (Light Detection And Ranging) data with building footprints derived from the Regional Topographic Database (RTDB). The process involves point cloud segmentation to isolate buildings and the generation of a Triangulated Irregular Network (TIN) mesh. Roof contours are identified using edge detection operators, simplified into polylines, and regularized using geometric constraints like parallelism and orthogonality to ensure LOD2 compliance. Finally, polygons are vertically extruded and optimized through the PolyFit framework, ensuring closed and topologically correct polygonal models. To overcome computational challenges and LiDAR data variability, significant improvements were introduced, including process parallelization, alignment with the Digital Terrain Model (DTM), and batch management of GeoJSON files. These enhancements successfully increased the pipeline's robustness and efficiency. The enriched pipeline produces high-quality LOD2 models, laying a solid foundation for next-generation urban modeling capable of meeting the scalability and interoperability requirements of future smart cities.","url":"https://doi.org/10.5194/isprs-archives-xlix-b1-2026-553-2026","authors":["Laura Candela","Luigi D’Amato","Alessandro Di Benedetto","Margherita Fiani","Lucas Matias Gujski"],"tags":["Computer science","Point cloud","Workflow","Interoperability","Triangulated irregular network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-22","doi":"https://doi.org/10.5194/isprs-archives-xlix-b1-2026-553-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4386713922","name":"Digital Service Twin - Design Criteria, Requirements and Scope for Service Management","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-43666-6_21","authors":["Alicia Schultheiß","Edgar Polovoj","Stefan Dolanovic","Katja Gutsche"],"tags":["Service design","Service (business)","Service product management","Service delivery framework","Scope (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-43666-6_21","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7155635137","name":"In Teaching Lean Manufacturing with Digital Twin: A Modern Approach to Engineering Education","source":"openalex","abstract":"This study explores integrating digital twin technology into engineering education as an innovative and effective approach to teaching lean manufacturing principles.","url":"https://doi.org/10.18260/jet.43.1.3","authors":["Muhammad S Khan","Anis Fatima","John Irwin"],"tags":["Engineering","Lean manufacturing","Manufacturing engineering","Engineering education","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-24","doi":"https://doi.org/10.18260/jet.43.1.3","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W7168433685","name":"AI YOU Town: Make Friends and Money with Your Digital Twin","source":"openalex","abstract":"Existing approaches to infer user traits and generate responses consistent with a persona rely on static prompting. They lack calibrated uncertainty, ignore sequential evidence, and drift during long interactions. We present \\textbf{AI YOU}, a framework that continually updates a personality profile with 22 dimensions from conversation and embodies it in a personal digital twin. Practically, the system combines prompting, Bayesian updating, and conformal prediction for persona inference. A periodically refreshed memory anchor and cognitive memory with three layers preserve persona consistency over long interactions. Across the main results, AI YOU \\emph{(i)} achieves conformal coverage ranging from 0.921 to 0.976, \\emph{(ii)} improves uncertainty calibration and reasoning grounded in memory, and \\emph{(iii)} enhances persona fidelity over static prompting in role playing over 100 turns while reducing trait drift, for most evaluated backbones under adversarial settings with multiple agents. The prototype \\emph{AI YOU Town} initializes an imaginative twin world for future interaction. The online demo is available at \\href{https://quinnnnnne-ai-you.hf.space/}{\\mbox{\\texttt{quinnnnnne-ai-you.hf.space}}}.","url":"https://openalex.org/W7168433685","authors":["Yan Lin","Yuyang Dai","Jiahui Geng","Yuxia Wang"],"tags":["Persona","Computer science","Consistency (knowledge bases)","Conversation","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-12","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4404893579","name":"The Mediating Role of Circular Economy in the Relationship Between Industry 4.0 and Sustainable Performance in the Manufacturing Industry","source":"openalex","abstract":"ABSTRACT Strong social pressure coupled with a tightening of environmental policies is forcing manufacturing firms to implement improvements in their production processes to reduce industrial waste and their negative impacts on the environment. To achieve this goal, manufacturing firms are increasingly adopting and applying Industry 4.0 (I4.0) and circular economy ( CE ) practices. However, the literature indicates that the implementation of I4.0 and CE does not always lead to a substantial improvement in the sustainable performance (SP) of manufacturing firms. Hence, this research analyzes how the concurrent adoption of I4.0 and CE impacts the SP of manufacturing firms within the context of Mexico. A research model was developed and validated with a sample of 338 manufacturing companies and by using PLS‐SEM for its analysis and measured I4.0 with 8 items (e.g., systems that integrate the physical world with virtual computational space and interconnecting of small computing devices embedded in products and objects to the internet, enabling the ability to receive and send data), CE with eight items (e.g., there is an environmental commitment by senior management, and there is support for environmental management by midlevel managers) and SP with seven items (e.g., the company's activities enable the transition to a low‐carbon economy, and the company's activities protect and/or restore the environment by focusing on environmental quality aspects and improving resource efficiency) in a research model that proposes four hypotheses that relate the analyzed constructs. The findings reveal that the SP of manufacturing firms increases substantially with the implementation of both Industry 4.0 and CE . Additionally, the results show that the CE plays a mediating role in the relationship between Industry 4.0 and SP. This study theoretically contributes by providing further empirical evidence that demonstrates the connection between I4.0 and CE as well as the mediating effect that CE exerts on the relationship between I4.0 and SP in manufacturing firms. From a practical standpoint, this study contributes by providing manufacturing companies with a better understanding of these relationships, which will help them formulate more effective policies and strategies to support the improvement of their environmental sustainability performance.","url":"https://doi.org/10.1002/bse.4075","authors":["Lucero Jazmín Cuevas‐Pichardo","Gonzalo Maldonado Guzmán","Antonio Luis Duréndez Gómez-Guillamón","Jose Arturo Garza‐Reyes"],"tags":["Circular economy","Business","Industrial organization","Manufacturing","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-01","doi":"https://doi.org/10.1002/bse.4075","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7126046836","name":"Metaverse-Enabled Digital Twins for Business and Smart Cities: Toward A Human-Centered Framework for Digital Transformation","source":"openalex","abstract":"Abstract. Digital Twin (DT) technologies are increasingly changing how businesses and cities model, assess, and enhance complex systems. Traditional DTs have served as static representations of tangible assets, providing monitoring and predictive functionalities. However, minimal stakeholder engagement and a focus on specific sectors have often limited their full potential. The rise of the metaverse, reinforced by Extended Reality (XR) technologies, presents a unique chance to evolve DTs into immersive, interactive, and human-centered platforms for collaborative decision-making. This integration allows stakeholders to visualize and engage with multidimensional data in real time, facilitating predictive analysis, scenario planning, and participatory governance. In business environments, DTs enhanced by the metaverse improve supply chain modelling, aid corporate strategy formulation, and foster innovation in customer experiences, ultimately increasing resilience and adaptability. In urban settings, they support smart infrastructure management, sustainability oversight, and collaborative planning by integrating IoT, Building Information Modeling (BIM), and geospatial data into engaging simulations. This research presents a conceptual framework that links business ecosystems and smart cities through a DT layer mediated by the metaverse, and GIS work for a GeoAI-enabled urban development system may address the political, societal, legal, and technical-instrumental challenges currently affecting cities and those expected in the foreseeable future. This framework, supported by enabling technologies and designed for inclusivity and scalability, illustrates a multidisciplinary approach to digital transformation applicable to both private and public sectors.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-w18-2025-273-2026","authors":["Rasem Qudaih","Nicholas Caldwell","Imen Ben Salem","A. Karthi"],"tags":["Digital transformation","Knowledge management","Crowdsourcing","Computer science","Geospatial analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-27","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-w18-2025-273-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4383724004","name":"Research and Development Status of Prepared Foods in China: A Review","source":"openalex","abstract":"In recent years, due to the influence and promotion of several factors, the Chinese market demands for prepared foods have grown rapidly. However, there are still many problems with Chinese prepared food. As China’s prepared foods are still at an early stage of development, there are problems such as vague concepts, outdated processing techniques and equipment, imperfect, unclear and inconsistent national standards, and prominent safety risks. The existence of these problems hinders the high quality and stable development of prepared foods. Thus, to meet the further development of prepared foods, it is necessary to conduct further analysis and research on the concept and boundary of prepared foods, set the Chinese national standards for prepared foods further, reform and upgrade the processing technology and equipment of prepared foods, and develop the safety control management system of prepared foods to promote the high-quality development of the prepared foods industry and provide a solid foundation for the further development of this industry. In this paper, the research progress of prepared foods’ processing techniques and the difficulties of industry development have been reviewed. In addition, an outlook on the future of prepared foods is provided, with a view to giving some reference for the innovative and stable development of prepared foods in the future.","url":"https://doi.org/10.3390/app13147998","authors":["Bo Yi","Hengyi Xu"],"tags":["China","Business","Quality (philosophy)","Promotion (chess)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-08","doi":"https://doi.org/10.3390/app13147998","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7204666911","name":"Administrative digital twins for AI-supported performance management in regional government","source":"openalex","abstract":"Regional governments play a critical role in the implementation of public policies and the delivery of services to citizens and businesses. However, their administrative operations often rely on complex procedural structures involving multiple organizational units, hierarchical approvals and fragmented information flows. Despite advances in e-government, many public administrations still lack mechanisms to systematically monitor the execution of administrative procedures and evaluate organizational performance in relation to strategic objectives. This gap limits the ability of organizations to identify inefficiencies, coordinate organizational structure and improve service delivery. In this context, it is vital to adopt a strategic approach to enhance the quality, efficiency, and effectiveness of internal operations through exploiting technological advancements and organizational transformation and innovation tools. This ongoing research explores the concept of Administrative Digital Twins (ADTs) as a mechanism for supporting strategic performance management in regional administration in Greece, and especially at the Region of Western Macedonia. An ADT is defined as a dynamic digital representation of administrative processes that integrates organizational competencies, goals, procedures, workflow models, task execution data and analytical tools in order to simulate, monitor, analyze, and optimize workflows through procedural simplification, and the overall organizational performance. This systematic, data-driven approach links the above-mentioned variables within a unified digital environment, enabling real-time visibility of administrative processes and the application of AI-supported analysis to detect bottlenecks, overlapping responsibilities and opportunities for procedural simplification. The paper adopts a design science and explanatory case study approach, presenting the pilot implementation of the AriadneAI platform in the Region of Western Macedonia. The study contributes to research on digital government and advances the digital transformation of the public sector by proposing a framework that connects strategic management, administrative process modelling and AI-assisted decision support. It provides preliminary evidence of how ADTs may support data-driven governance and continuous performance improvement in regional authorities.","url":"https://doi.org/10.59490/6a91acfa6096c5874dfb3450","authors":["Athanasia Lakkita","Loukas K. Tsironis"],"tags":["Workflow","Process management","Knowledge management","Organizational performance","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-29","doi":"https://doi.org/10.59490/6a91acfa6096c5874dfb3450","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166578177","name":"SIMULATION MODEL OF A DIGITAL TWIN FOR AN NPP POWER UNIT TECHNOLOGICAL PROCESS","source":"openalex","abstract":"Background. Modern nuclear power plant (NPP) units are characterised by high structural complexity, multi-level hierarchical Information and Control (I&C) systems, and a vast number of interconnected technological parameters. Existing digital twin models primarily focus on individual physical processes – such as neutron kinetics, thermal hydraulics, or protection logic – often overlooking the comprehensive structure of control systems. The lack of a formalised approach for real-time assessment of subsystems’ hierarchical integrity limits the early detection of pre-accident states and proactive safety management. Objective. The paper aims to develop a simulation model of a digital twin for the NPP technological process based on a system-cluster approach. This method enables the assessment of the hierarchical, self-similar scaled structure of subsystems using fractal dimension as a quantitative metric. Methods. The study utilises a system-cluster approach, decomposing the power unit into functional sub-clusters: power control, protection system, coolant parameter regulation, and emergency shutdown. The mathematical framework integrates neutron kinetics equations, thermal-hydraulic relations, and logical-dynamic algorithms. To quantify structural complexity, the information space coverage method was employed to calculate fractal dimensions. The digital twin was implemented as a hardware-and-software complex integrated with the I&C, incorporating modules for data acquisition, structural identification, and predictive analytics. Results. Fractal dimension values were obtained for key subclusters of the power unit, reflecting their hierarchical complexity (notably, the maximum of 1.83 for the coolant control system and the minimum of 1.0 for the protection system). Normalised ranges of fractal dimension were determined as indicators of normal operation. Furthermore, a monitoring algorithm was developed to detect the loss of structural levels or subsystem degradation before functional failures manifest. Practical implementation demonstrated the feasibility of real-time structural diagnostics and adaptive response. Conclusions. The proposed fractal-cluster approach ensures comprehensive modelling of the NPP technological process by accounting for its hierarchical structure. Utilising fractal dimension as a structural diagnostic parameter expands the capabilities of traditional control methods and establishes the necessary framework for proactive safety management strategies based on digital twin technology.","url":"https://doi.org/10.20535/kpisn.2026.2.352429","authors":["Kostiantyn Brovko","Pavlo Budanov","O. Velykohorskyi","Yuliia Oliinyk","N. Vynokurova","S. Voitenko"],"tags":["Fractal","Process (computing)","Fractal dimension","Reliability engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-29","doi":"https://doi.org/10.20535/kpisn.2026.2.352429","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7148792564","name":"\"WRIVA CVGL Challenge 2026\"","source":"openalex","abstract":"\"Ground-level images provide unique contextual and semantic information that complements satellite and aerial observation. Establishing reliable connections between these modalities - addressing challenges due to near-orthogonal viewpoint differences, dramatic scale and resolution disparities, and occlusion effects - unlocks a broad range of emerging applications. These include fine-grained geo-referencing of unlocalized photos, satellite data attribution, 3D scene reconstruction across varying altitudes, multi-view data fusion for digital twins, and cross-source change detection for environmental and infrastructure monitoring.Recent advances in deep learning, cross-view retrieval, and multi-modal representation learning have markedly improved our ability to associate ground images with overhead observations; however, the task remains extremely challenging: differences in geometry, radiometry, and content visibility persist, and globally accurate ground-to-satellite localization is still limited to tens of meters without additional priors. The next frontier lies in local-context geo-localization, where approximate camera positions (e.g., within a few city blocks) enable meter-level alignment and open opportunities for downstream mapping, navigation, and situational awareness.This competition seeks to promote innovation and reproducibility for local-context ground-to-satellite image localization. Participants will receive sets of one or more satellite images and one or more ground-level images with approximate locations (e.g., within a few hundred meters) and will be evaluated on predicted camera geolocation accuracy in meters. Winning teams will be acknowledged during a session at IGARSS 2026 and invited to contribute to an article on the competition to be published in a special issue of Photogrammetric Engineering & Remote Sensing (PE&RS).\"","url":"https://doi.org/10.21227/y7nm-c095","authors":["Homer Li"],"tags":["Computer science","Geolocation","Artificial intelligence","Photogrammetry","Task (project management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-03","doi":"https://doi.org/10.21227/y7nm-c095","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203909396","name":"Supplementary dataset: A digital twin and SOAR-based cybersecurity testbed for automated threat detection and response in smart ships","source":"openalex","abstract":"Supplementary dataset: A digital twin and SOAR-based cybersecurity testbed for automated threat detection and response in smart shipsThis record contains the demonstration video and experimental data supporting the manuscript:J.-K. Lim, H.-S. Song, J.-W. Kim, and Y.-H. Choi, \"A Digital Twin and SOAR-based Cybersecurity Testbed for Automated Threat Detection and Response in Smart Ships,\" submitted to IEEE Access, 2026.Funding: Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. RS-2024-00400955, Development of core security technology to respond to international smart ship regulations).CONTENTS- blackhawk_demo_video.mp4 — Recorded demonstration of the BLACK HAWK digital twin security-monitoring dashboard (84 s, 1280x720). Shows real-time ECDIS visualization, alarm history, and attack-detection overlay corresponding to Fig. 6 of the manuscript. A live interactive instance is additionally available at https://koreanregister.dev-timmanage.com/ (availability not guaranteed long-term; this archived video is the permanent record).- malware_corpus_sha256.csv — The 111-sample malware corpus used in detection Track 2 (Section V-A): SHA-256 hash, file type, category (53 trojan / 6 phishing / 52 ransomware), per-sample detection outcome (105 detected / 6 missed), and per-sample provenance (105 in-house / 6 vendor-supplied). Hashes only — no malware binaries are distributed. Samples can be retrieved from public malware repositories (e.g., VirusTotal, MalwareBazaar) by hash.- e2e_pipeline_stage_timings_ms.csv — Stage-level timings (n = 40) for the end-to-end event-to-visualization pipeline (TABLE 5): detection-to-SOAR-trigger and trigger-to-isolation, in milliseconds. The attack-event-to-detection stage coincided with injection at the 1-second log resolution of the SIEM in all 40 trials.- isolation_path_timings_ms.csv — Per-execution timings (n = 100) for the three parallel network-isolation paths — FW Deny (FortiGate), EMS Deny (FortiClient EMS / FortiEDR), FSW Port Down (FortiSwitch) — in milliseconds (TABLE 9), with per-execution playbook completion (slowest path).- playbook_execution_timings_ms.csv — Per-execution completion times (n = 100 per playbook, 500 total) for the five maritime-specific SOAR playbooks (TABLE 8), in milliseconds.- kafka_topics.zip — Avro schema definitions (.avsc) for the nine topic categories of TABLE 2, as registered in the Schema Registry. Field sets correspond to the Key Fields column of that table. OT telemetry (dt.sensor) arrives as custom JSON and is normalized to the SensorLog record before publication.- playbook_pseudocode.md — Vendor-neutral pseudocode for the five SOAR playbooks of TABLE 8, stating the abstract capability each step requires rather than the product-specific connector used. Includes the scope statements for the Notification & Escalation and Asset Recovery & Unblock playbooks, whose automated scope is narrower than the manual procedures they are compared against.- CHANGELOG.md — Record of what changed between versions of this dataset, with the derived figures that follow from each file.- README.md — This description, included as a file.NOTES ON METHODOLOGY- Detection Track 1: a trial is counted as detected if FortiSIEM or CEREBRO-XTD raised an alert correlated to the injected instance within 60 s of injection. Result: 40/47 detected (85.1%). Per-trial injection records for Track 1 were not retained; Track 1 detection outcomes are therefore reported in aggregate only.- Detection Track 2: a sample is counted as detected if the endpoint protection platform raised a detection alarm upon ZIP-archive extraction. Result: 105/111 detected (94.6%). Per-sample outcomes are provided in malware_corpus_sha256.csv.- Corpus provenance: six samples, all in the phishing category, were supplied by an engineer of Fortinet, the endpoint protection vendor whose product was under test; the remaining 105 were drawn from an in-house m","url":"https://doi.org/10.5281/zenodo.22019801","authors":["Jeoung-Kyu Lim","Hee-Sam Song","Jong-Woo Kim","Yoon-Ho Choi"],"tags":["Testbed","Computer science","Malware","Computer security","Phishing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-20","doi":"https://doi.org/10.5281/zenodo.22019801","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166889175","name":"Survey of Published Eddy Current experimentation for Applicability to Hybrid Digital Twins","source":"openalex","abstract":"A survey of published eddy current experimentation was conducted to assess for applicability to hybrid digital twins that use neural network–based system transfer functions. More than 37 experiments in 33 publications were surveyed. No implications were given that any publication surveyed was found to be deficient in a general manner. Neither experimental reproducibility nor publication results reproducibility were evaluated in this survey. Certain variables are critical when publishing experimentation with the intention of that data being applicable to an eddy current hybrid digital twin. These variables are categorized into virtual reproducibility and data application. The applications of the data are presented in workflow diagrams. Commercial system results are used to train a system transfer function, and impedance analyzer results are used as supplemental data for enhanced decision-making. Survey results were used to develop and propose guidance in the form of an operational checklist for reporting eddy current experimentation results, improving applicability not only to hybrid digital twins but also to eddy current digital twins in general. The use of this checklist for published eddy current experimentation should help improve data availability within the industry. Increased data availability is an enabling factor for further development of digital twins in nondestructive evaluation.","url":"https://doi.org/10.32548/2026.me-04583","authors":["kyle rose","Jiming Song"],"tags":["Eddy current","Reproducibility","Workflow","Eddy-current testing","Current (fluid)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-01","doi":"https://doi.org/10.32548/2026.me-04583","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4400026497","name":"The spatial imaginaries of creative clusters: Examining the role of R&D programmes in creative placemaking","source":"openalex","abstract":"Creative clusters – geographic concentrations of creative industries sector activity, its skilled individuals, organisations and institutions – have attracted significant investment globally, becoming an important driver of economic growth. In this paper, we frame investment in creative clusters as a mechanism for creative placemaking. Creative placemaking occupies a dual role as a driver of economic development via arts-led ‘regeneration’ of high streets and flagship infrastructural projects like cultural quarters, yet also as a sustained stewarding of creative places through social engagement and community-centred decision-making about cultural projects. This distinction is typically framed as ‘top-down’ versus ‘bottom-up’ creative placemaking. We use the Bristol+Bath Creative R+D (BBCRD) programme as a case study to show how this distinction becomes less black and white. BBCRD created a ‘twin city’ spatial imaginary distinct from the geography of existing cultural or placemaking policy remits. The novel contribution of this paper is in how it evidences the intersecting scales of creative placemaking and unpacks the effectiveness of multi-city regionality for creative clustering, using fine-grained empirical data on the impact of top-down placemaking initiatives for the existing creative ecology of a place. This type of data and analysis is largely missing from literature on both clustering and placemaking. Given the continued international replication of the clusters model, recently renewed via ‘supercluster’ and ‘creative corridor’ discourses, we propose that an ecological understanding − that takes place specificity, relationality and scale into consideration – is pressing, and offers a route for complementarity between top-down and bottom-up creative placemaking.","url":"https://doi.org/10.1016/j.geoforum.2024.104066","authors":["Liz Roberts","Jack Lowe"],"tags":["Placemaking","Creative industries","Sociology","Economic geography","Urban planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-26","doi":"https://doi.org/10.1016/j.geoforum.2024.104066","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4200011703","name":"[Retracted] Dynamic Analysis of College Physical Education Teaching Quality Evaluation Based on Network under the Big Data","source":"openalex","abstract":"Improving the quality of college physical education is of great significance to facilitating the integrated development of students' psyches and physical. Establishing a more systematic, effective, and social training needs of education quality evaluation hierarchy is also the centerpiece of the college physical culture education administration. Massive information technology provides new conception and methods to this, and supply advantage sustains for furtherance the education ecology development. Based on the network education system, this paper uses big data to quantify the evaluation indexes of physical education teaching, so as to actualize the timely dynamic evaluation of the process that is physical teaching and learning. This essay constructs the evaluation index system of college physical education teaching quality by combining mensurable and qualitative methods. On the basis of previous studies, an evaluation model of college physical education teaching quality based on artificial intelligence mass data calculation is designed. The experiment authenticates that the model evaluation risk coefficient is 1.93 lower than the optimized model. The experiment also proves that the model is conducive to elevating the education quality.","url":"https://doi.org/10.1155/2021/5949167","authors":["Bin Feng"],"tags":["Computer science","Quality (philosophy)","Big data","Data science","Physical education"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1155/2021/5949167","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4200113304","name":"A three-dimensional atlas of child’s cardiac anatomy and the unique morphological alterations associated with obesity","source":"openalex","abstract":"AIMS: Statistical shape models (SSMs) of cardiac anatomy provide a new approach for analysis of cardiac anatomy. In adults, specific cardiac morphologies associate with cardiovascular risk factors and early disease stages. However, the relationships between morphology and risk factors in children remain unknown. We propose an SSM of the paediatric left ventricle to describe its morphological variability, examine its relationship with biometric parameters and identify adverse anatomical remodelling associated with obesity. METHODS AND RESULTS: This cohort includes 2631 children (age 10.2 ± 0.6 years), mostly Western European (68.3%) with a balanced sex distribution (51.3% girls) from Generation R study. Cardiac magnetic resonance short-axis cine scans were segmented. Three-dimensional left ventricular (LV) meshes are automatically fitted to the segmentations to reconstruct the anatomies. We analyse the relationships between the LV anatomical features and participants' body surface area (BSA), age, and sex, and search for features uniquely related to obesity based on body mass index (BMI). In the SSM, 19 modes described over 90% of the population's LV shape variability. Main modes of variation were related to cardiac size, sphericity, and apical tilting. BSA, age, and sex were mostly correlated with modes describing LV size and sphericity. The modes correlated uniquely with BMI suggested that obese children present with septo-lateral tilting (R2 = 4.0%), compression in the antero-posterior direction (R2 = 3.3%), and decreased eccentricity (R2 = 2.0%). CONCLUSIONS: We describe the variability of the paediatric heart morphology and identify anatomical features related to childhood obesity that could aid in risk stratification. Web service is released to provide access to the new shape parameters.","url":"https://doi.org/10.1093/ehjci/jeab271","authors":["M Marciniak","Arend W. van Deutekom","Liza Toemen","Adam J. Lewandowski","Romy Gaillard","Alistair A. Young","Vincent W. V. Jaddoe","Pablo Lamata"],"tags":["Medicine","Body mass index","Ventricle","Population","Anatomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-07","doi":"https://doi.org/10.1093/ehjci/jeab271","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165013107","name":"Digital Twin Based Intelligent Routing Optimization in Autonomous Transportation Systems","source":"openalex","abstract":"Digital Twin (DT) technology has emerged as a transformative approach for modelling, monitoring, and optimizing complex cyber-physical systems. In recent years, the integration of digital twins with autonomous vehicles and intelligent transportation systems has attracted significant research attention due to the need for efficient routing, improved energy management, and enhanced system performance. Traditional optimization methods often struggle to handle dynamic environments, uncertain traffic conditions, and real-time decision requirements. Digital twins address these challenges by creating a dynamic virtual representation of physical systems that continuously updates through real-time data, enabling predictive analysis and intelligent decision-making. This review paper presents a comprehensive overview of DT based optimization approaches focusing on routing efficiency, energy efficiency, and system performance. The study analyses the architecture and functional components of DTs, explores optimization techniques integrated with DT frameworks, and evaluates how these technologies improve system reliability and operational efficiency in autonomous mobility systems. Furthermore, the paper highlights current challenges including data reliability, computational complexity, scalability, and real-time implementation issues. Finally, future research directions are discussed to support the development of intelligent, energy-efficient, and high-performance transportation systems using digital twin technology.","url":"https://doi.org/10.65525/jmea.v3i1.40","authors":["Bibhas Saha","Mrinmoy Maity","Mriganka Maity"],"tags":["Computer science","Reliability (semiconductor)","Intelligent transportation system","Routing (electronic design automation)","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-18","doi":"https://doi.org/10.65525/jmea.v3i1.40","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7171538818","name":"Research on the Theoretical Evolution of Digital Twin Technology Intelligent Library Development","source":"openalex","abstract":"Based on the database of WOS and CNKI, this study uses bibliometrics and visualization methods to quantitatively analyze the related literatures of digital twin-driven smart libraries from 2003 to 2025, and systematically sorts out their theoretical evolution, research hotspots, cooperation modes, and application characteristics. The results show that China leads the world in the field of digital twins, but the interdisciplinary depth is insufficient. The research of smart library forms a dual-core pattern between China and the United States, with China, the United States, and Germany as the core intermediaries of international cooperation. They are highly coupled in data, service, and user experience. The research reveals three evolution trends, and suggests strengthening strategic planning and resource input, promoting interdisciplinary integration and service innovation, and providing quantitative support for the construction of smart libraries.","url":"https://doi.org/10.4018/ijkm.417248","authors":["Kun Chen","Xie Hao","苟金霞","Daibo Xiao"],"tags":["Field (mathematics)","Bibliometrics","Digital library","Data science","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-28","doi":"https://doi.org/10.4018/ijkm.417248","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7204675769","name":"Digital Twin Framework for Context-Aware Safety Adherence Monitoring Using IMU-Based Digital Biomarkers","source":"openalex","abstract":"This paper presents a digital twin framework for monitoring people with dementia safety adherence using multimodal data from wearable smart glasses in home settings. Monitoring adherence to safety measures during activities of daily living (ADL) can serve as a useful proxy for evaluating cognitive and functional decline. The proposed framework integrates inertial measurement unit (IMU) data with environmental perception to infer user safety adherence behaviour relative to environmental hazards and home safety interventions using fuzzy logic (FL). The inferred behaviours are temporally aggregated to generate digital biomarkers that enable longitudinal tracking of cognitive decline. Experimental results demonstrate the feasibility of the framework in capturing and analysing safety adherence dynamics, showing its potential for long-term cognitive health monitoring.","url":"https://openalex.org/W7204675769","authors":["Ise Orobor","Faiyaz Doctor","Ramy Hammady","Mary Kennedy"],"tags":["Safety monitoring","Wearable computer","Cognition","Digital health","Psychological intervention"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-09","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7153671748","name":"SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation","source":"openalex","abstract":"AI-based persona simulation -- often referred to as digital twin simulation -- is increasingly used for market research, recommender systems, and social sciences. Despite their flexibility, large language models (LLMs) often exhibit systematic bias and miscalibration relative to real human behavior, limiting their reliability. Inspired by synthetic control methods from causal inference, we propose SYN-DIGITS (SYNthetic Control Framework for Calibrated DIGItal Twin Simulation), a principled and lightweight calibration framework that learns latent structure from digital-twin responses and transfers it to align predictions with human ground truth. SYN-DIGITS operates as a post-processing layer on top of any LLM-based simulator and thus is model-agnostic. We develop a latent factor model that formalizes when and why calibration succeeds through latent space alignment conditions, and we systematically evaluate ten calibration methods across thirteen persona constructions, three LLMs, and two datasets. SYN-DIGITS supports both individual-level and distributional simulation for previously unseen questions and unobserved populations, with provable error guarantees. Experiments show that SYN-DIGITS achieves up to 50% relative improvements in individual-level correlation and 50--90% relative reductions in distributional discrepancy compared to uncalibrated baselines.","url":"https://openalex.org/W7153671748","authors":["Grace Jiarui Fan","Chengpiao Huang","Tianyi Peng","Kaizheng Wang","Yuhang Wu"],"tags":["Calibration","Computer science","Control (management)","Artificial intelligence","Synthetic data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-08","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2618186949","name":"Coiled-coil interactions mediate serine integrase directionality","source":"openalex","abstract":"Serine integrases are bacteriophage enzymes that carry out site-specific integration and excision of their viral genomes. The integration reaction is highly directional; recombination between the phage attachment site attP and the host attachment site attB to form the hybrid sites attL and attR is essentially irreversible. In a recent model, extended coiled-coil (CC) domains in the integrase subunits are proposed to interact in a way that favors the attPxattB reaction but inhibits the attLxattR reaction. Here, we show for the Listeria innocua integrase (LI Int) system that the CC domain promotes self-interaction in isolated Int and when Int is bound to attachment sites. Three independent crystal structures of the CC domain reveal the molecular nature of the CC dimer interface. Alanine substitutions of key residues in the interface support the functional significance of the structural model and indicate that the same interaction is responsible for promoting integration and for inhibiting excision. An updated model of a LI Int•attL complex that incorporates the high resolution CC dimer structure provides insights that help to explain the unusual CC dimer structure and potential sources of stability in Int•attL and Int•attR complexes. Together, the data provide a molecular basis for understanding serine integrase directionality.","url":"https://doi.org/10.1093/nar/gkx474","authors":["Kushol Gupta","Robert Sharp","Jimmy B. Yuan","Huiguang Li","Gregory D. Van Duyne"],"tags":["Integrase","Integrases","Directionality","Biology","Coiled coil"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-05-15","doi":"https://doi.org/10.1093/nar/gkx474","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4224315023","name":"Is Terzan 5 the remnant of a building block of the Galactic bulge? Evidence from APOGEE","source":"openalex","abstract":"ABSTRACT It has been proposed that the globular cluster-like system Terzan 5 is the surviving remnant of a primordial building block of the Milky Way bulge, mainly due to the age/metallicity spread and the distribution of its stars in the α–Fe plane. We employ Sloan Digital Sky Survey data from the Apache Point Observatory Galactic Evolution Experiment to test this hypothesis. Adopting a random sampling technique, we contrast the abundances of 10 elements in Terzan 5 stars with those of their bulge field counterparts with comparable atmospheric parameters, finding that they differ at statistically significant levels. Abundances between the two groups differ by more than 1σ in Ca, Mn, C, O, and Al, and more than 2σ in Si and Mg. Terzan 5 stars have lower [α/Fe] and higher [Mn/Fe] than their bulge counterparts. Given those differences, we conclude that Terzan 5 is not the remnant of a major building block of the bulge. We also estimate the stellar mass of the Terzan 5 progenitor based on predictions by the Evolution and Assembly of GaLaxies and their Environments suite of cosmological numerical simulations, concluding that it may have been as low as ∼3 × 108 M⊙ so that it was likely unable to significantly influence the mean chemistry of the bulge/inner disc, which is significantly more massive (∼1010 M⊙). We briefly discuss existing scenarios for the nature of Terzan 5 and propose an observational test that may help elucidate its origin.","url":"https://doi.org/10.1093/mnras/stac968","authors":["Dominic J. Taylor","A. Mason","Ricardo P. Schiavon","Danny Horta","David M. Nataf","D. Geisler","Shobhit Kisku","Siân Phillips","Roger E. Cohen","José G. Fernández-Trincado","Timothy C. Beers","Dmitry Bizyaev","D. A. García–Hernández","Richard R. Lane","Penélope Longa-Peña","D. Minniti","César Muñoz","Kaike Pan","S. Villanova"],"tags":["Physics","Bulge","Astrophysics","Block (permutation group theory)","Astronomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-08","doi":"https://doi.org/10.1093/mnras/stac968","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203706317","name":"Digital twins in precision pharmacotherapy: emerging applications, challenges, and future directions","source":"openalex","abstract":"Digital twin technology, defined as dynamic digital models that represent individual patients, is emerging as a promising paradigm in precision pharmacotherapy. The integration of pharmacokinetic and pharmacodynamic (PK/PD) modeling, clinical data, genomic information, and real-time patient monitoring enables digital twins to shift drug therapy away from population-based averages toward individualized, adaptive decisions. This narrative review explores conceptual frameworks, emerging applications, methodological approaches, clinical value, limitations, and future directions of digital twins in pharmacotherapy, with particular emphasis on the role of clinical pharmacists. Unlike broader digital twin reviews that primarily emphasize technical architectures, disease-specific applications, or pharmaceutical research and development, this review focuses on the clinical-pharmacy translation layer: how digital twin outputs can be interpreted, validated, communicated, and converted into actionable medication decisions at the bedside and across ambulatory care settings. Key applications include precision dosing, polypharmacy management, antimicrobial stewardship, and the optimization of complex therapies, alongside important ethical, regulatory, and implementation challenges.","url":"https://doi.org/10.3389/fdgth.2026.1881217","authors":["Anan S. Jarab","Walid Al-Qerem","Hamza Jarab","Omar Jrab","Rahma Elsherif","Ahmad Z. Al Meslamani","Yazid Al Hamarneh","Salahdein Aburuz"],"tags":["Data science","Computer science","Polypharmacy","Key (lock)","Precision medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-18","doi":"https://doi.org/10.3389/fdgth.2026.1881217","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7161831056","name":"Optimizing assembly line productivity in passenger car manufacturing: a comprehensive review with evidence from the Pune automotive region","source":"openalex","abstract":"Passenger car manufacturing in India is undergoing a rapid transformation driven by growing demand for high productivity, sustainability, and more flexible assembly systems. Even though significant progress has been made, existing studies mostly focus on individual techniques such as Lean, automation, or digitalization and rarely provide a unified framework for productivity improvement. This review tries to fill that research gap by analyzing productivity drivers across multiple dimensions, including technical, ergonomic, digital, policy, and regional aspects, with a focus on Pune’s automotive cluster. The objective is to synthesize evidence-based strategies to optimize assembly line performance. A mixed-method approach was used, consisting of a literature review covering 2010 to 2025, along with a regional benchmarking meta-analysis on industrial case data. Metrics such as overall equipment effectiveness, process cycle efficiency, and takt time are used as core indicators in the study. Key findings indicate that Lean Six Sigma implementation improved process cycle efficiency (PCE) from 19.9% to 66.7%, cobot integration increased overall equipment effectiveness (OEE) from 80% to 87.74%, while scrap generation reduced from 0.06% to only 0.02%. Ergonomic redesigns of workstations led to a 9.7% gain in productivity. Digital twin simulations have shown that throughput increases up to 20%, and IRPA adoption resulted in a simulated workforce reduction of 45.69%. Policies such as Make in India PLI hold promise, yet challenges remain in terms of EV infrastructure localization. An integrated Lean–AI–digital model, when supported with ergonomic design and policy alignment, can possibly deliver 25%–40% improvement in productivity, especially in manufacturing hubs like Pune.","url":"https://doi.org/10.3389/fmech.2026.1808820","authors":["Avinash Gosavi","Padmakar Shahare","Swapnil Gund","Prashant Paraye"],"tags":["Automotive industry","Benchmarking","Productivity","Manufacturing engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-20","doi":"https://doi.org/10.3389/fmech.2026.1808820","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4403910234","name":"A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment","source":"openalex","abstract":"Abstract The utilization of Life Cycle Assessment (LCA) and its corresponding methodologies gained considerable attention within the realm of corporate social responsibility (CSR) and sustainability assessment. Nevertheless, a lack of extensive investigation on their integration along with quantitative procedures, for example, statistical techniques and artificial intelligence (AI), has emerged. The purpose of this literature review is to investigate the extent to which these methodologies have been connected so far in order to achieve objectives concerning the assessment of sustainability. The scope of the study was restricted to articles published in peer‐reviewed journals throughout the period from 1960 to 2022. The investigation was conducted by using a broad set of keywords, encompassing both life cycle methods, including Life Cycle Assessment, Environmental Life Cycle Costing and Emergy Accounting, and quantitative methods, such as mathematical methods, economic methods and building information modeling methods. A total of 144 articles addressing the combined use of life cycle methods and quantitative methodologies for the evaluation of sustainability were identified in the literature review. The greater part of these studies relied on the combined use of LCA with mathematical models, statistical methods and AI methods. As a result, the studies proven that the joint application of such methods can improve consistency of sustainability assessment and enhance CSR. Additionally, many articles suggested novel approaches, including a combined use of LCA and building information modeling as well as simulation methods. The combined use of life cycle methods alongside quantitative methods offers promise in enhancing sustainability assessment by offering more precise and consistent outcomes. However, it becomes imperative to carefully evaluate the hypotheses, accuracy of data, and uncertainty associated with each method within the integration process. Additional research needs to be conducted in order to establish standardized protocols for combining these methodologies as well as to identify the most suitable procedures for their integration with respect to specific objectives concerning sustainability assessment.","url":"https://doi.org/10.1002/csr.3010","authors":["Roberto Cerchione","Mariarosaria Morelli","Renato Passaro","Ivana Quinto"],"tags":["Sustainability","Business","Life-cycle assessment","Environmental resource management","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-29","doi":"https://doi.org/10.1002/csr.3010","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7131125902","name":"Research on the Optimisation of Natural Gas Layered Scheduling for Offshore Platforms Based on Improved GA and MPC","source":"openalex","abstract":"ABSTRACT Natural gas scheduling on offshore platforms is essential for ensuring safe and economically efficient production. Traditional control methods, such as PID, often exhibit limited robustness and slow response under nonlinear dynamics, disturbances and fluctuating demand. This paper proposes a hierarchical scheduling optimisation framework that integrates an improved genetic algorithm (GA) with model predictive control (MPC), aiming to achieve long‐term global optimisation together with real‐time dynamic control. The improved GA incorporates adaptive crossover and mutation rates, simulated binary crossover (SBX), polynomial mutation and an elitism strategy to enhance search efficiency and avoid premature convergence. A simulation‐driven digital‐twin prototype is constructed using representative operating conditions—normal, high‐demand, low‐demand and fault—to evaluate flow and pressure regulation performance. The optimisation objective minimises total operating cost subject to physical feasibility, safety limits and equipment performance constraints, with decision variables including valve openings and compressor speeds. The GA generates hourly reference trajectories for global scheduling, whereas MPC ensures minute‐level tracking under disturbances and operational variability. Comparative results demonstrate that the hierarchical GA + MPC approach outperforms standalone MPC, reducing operating cost by 9.4%, accelerating convergence by 34.2% and lowering steady‐state tracking error by 18.6%. Relative to PID control, convergence speed improves by 43.5% and steady‐state error decreases by 35.1%. In addition, the improved GA achieves a 65.6% reduction in convergence generations compared with the traditional GA, confirming its superior efficiency and robustness. These results, validated within the simulation‐driven digital‐twin prototype, highlight the hierarchical architecture's ability to combine global optimisation with real‐time dynamic control, demonstrating its practicality, robustness and potential for broader application in intelligent offshore energy systems.","url":"https://doi.org/10.1049/dgt2.70018","authors":["Xiaoguang Zhang","Xiaoyong He","Yutong Zhong","Xiaoyong Gao","Wenxin Zhan"],"tags":["Robustness (evolution)","Crossover","Model predictive control","Computer science","Mathematical optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/dgt2.70018","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7172272597","name":"Research on a Digital Twin-Based Local Penetration Algorithm for UAV Swarms","source":"openalex","abstract":"To address the challenges faced by UAV swarms in local narrow-space penetration missions, including constrained passages, dense obstacles, and the difficulty of balancing formation stability and traversability, this paper proposes a local penetration method that integrates virtual–center consensus-based formation control with a V-shaped formation self-reconfiguration strategy. First, a virtual geometric center is introduced as the consensus reference to replace the traditional physical leader node, thereby reducing the risk of single-point failure and improving swarm coordination consistency. Second, geometric constraints, including the effective channel width, lateral formation width, and safety margin, are incorporated to construct a channel-constraint-driven formation self-reconfiguration mechanism, enabling the swarm to contract its formation, avoid obstacles during traversal, and recover the formation after passing through the constrained region. Finally, a digital twin-based virtual–real interactive validation platform is constructed to verify the formation maintenance, formation reconfiguration, and virtual–real trajectory consistency of the proposed method. Experimental results show that the proposed method can maintain favorable formation consistency and safe inter-UAV distances in constrained channel environments while demonstrating good stability and scenario adaptability during formation adjustment and recovery.","url":"https://doi.org/10.3390/drones10080591","authors":["Shaochun Qu","Yuhuan Cai","Shiyan Wan","Yanfang Fu"],"tags":["Adaptability","Swarm behaviour","Computer science","Consistency (knowledge bases)","Penetration (warfare)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.3390/drones10080591","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7127967070","name":"Technological Innovation and Sustainability in Public Administration: A Systematic Review and Research Agenda","source":"openalex","abstract":"This study examines how technological innovation and sustainability jointly reshape contemporary public administration by integrating digital transformation with public value creation. Using a mixed-method approach, we compile a Scopus-based bibliographic dataset and conduct descriptive and network analyses on 199 articles to map publication trends, methodological patterns, and core keyword clusters. We then perform an in-depth qualitative content analysis of 83 papers, coding public sector domains, actors, technological innovations, and sustainability dimensions. Findings highlight a shift from early e-government, centered on administrative efficiency, toward a paradigm of “sustainable digital governance”, where AI, IoT, blockchain and data analytics drive the twin digital–green transition. Five conceptual clusters and several application domains show that public value increasingly emerges within collaborative ecosystems involving administrations, firms, universities, citizens and digital platforms. The study offers an integrated overview of this evolving field and clarifies technology’s role as an enabling factor in sustainable governance. Building on the review results, we propose the Sustainable Public Innovation Ecosystem (SPIE) framework, which links systemic enablers (technological and sustainability innovation) governance efficiency and sustainable public value through ecosystem dynamics and governance mechanisms. It also outlines a future research agenda on hybrid actors ethical and regulatory issues, and approaches to measuring sustainable public value, providing guidance for scholars and policymakers designing digitally enabled and sustainability-oriented public reforms.","url":"https://doi.org/10.3390/admsci16020080","authors":["Benedetta Pini","Alberto Petroni","B. Bigliardi"],"tags":["Sustainability","Corporate governance","Public value","Knowledge management","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-05","doi":"https://doi.org/10.3390/admsci16020080","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165298175","name":"ARCHITECTURE OF DIGITAL TWINS FOR REAL-TIME MONITORING OF INDUSTRIAL EQUIPMENT WEAR","source":"openalex","abstract":"The article examines the architecture of digital twins for real-time monitoring of industrial equipment wear. The relevance of the study is determined by the need to move from reactive and scheduled maintenance models to data-driven systems capable of continuously assessing the technical condition of equipment. The article systematizes the main architectural layers of a digital twin, including the physical equipment layer, industrial Internet of Things data collection, preprocessing and contextualization, analytical modeling, edge-cloud deployment, and maintenance-oriented decision support. Particular attention is paid to heterogeneous data sources used in wear monitoring, including vibration, temperature, acoustic, electrical, lubrication, process-quality, and maintenance data. The study shows that reliable wear assessment requires not only sensor data accumulation, but also synchronization, validation, interoperability, and feedback from maintenance outcomes. The analytical layer is considered through anomaly detection, degradation assessment, remaining useful life prediction, and risk-based prioritization. It is concluded that the practical value of a digital twin is determined by its ability to transform real-time data into diagnostic indicators, predictive assessments, and technically justified maintenance actions.","url":"https://openalex.org/W7165298175","authors":["Sagyndyk Aibar Nurlanovich"],"tags":["Predictive maintenance","Engineering","Condition monitoring","Architecture","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7197755507","name":"Digital twins of weapons and military equipment for failure prediction and sustainment optimization","source":"openalex","abstract":"","url":"https://openalex.org/W7197755507","authors":["F. G. Amirov","D. G. Ibrahimov","E. G. Hashimov","R. G. Akhundov"],"tags":["Engineering","Computer science","Forensic engineering","Field (mathematics)","Weapon system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7159780197","name":"Digital Twin for Integration of Control and Diagnostics of Electromechanical Systems Under Uncertainty","source":"openalex","abstract":"The study aimed to create a digital twin for the integration of control and diagnostics of electromechanical systems under conditions of uncertainty, with minimal reliance on physical sensors. The research was conducted at Mykolaiv National Agrarian University. Physically based models were developed for thermal processes in windings, assessment of losses in magnetic conductors, and wear indicators for components, virtual sensors, signal filtering algorithms and degradation prediction were implemented, and verification was conducted on test benches and in computer modelling. Quantitative results were obtained, which constitute the main contribution of the work: the accuracy of reproducing hidden parameters was 93.6-97%, the relative error of reproducing losses in the transformer was 3%, the relative error of thermal estimates was 3.5-6.8%, the correlation with reference measurements reached 0.99; the reduction in the dispersion of noisy signals was 33-41%, the signal-to-noise ratio increased by 4.2-6.7 decibels, and the root mean square error decreased by 35-44% with an additional delay of no more than 0.04 seconds. The forecast of the time to failure of the hydraulic unit provided 92% correct estimates within a tolerance of ±10% for a 48-hour horizon; in the traction electric drive, a drop in efficiency (efficiency) by 6.7 percentage points under conditions of magnetic saturation was confirmed; in ship drives, peak torsional loads were reduced by 11%; in biogas plants, the energy balance error was 5.4%; in irrigation systems, energy consumption was reduced by 9%; in robotics, the accuracy of deviation detection was increased by 14%. The models can be used in ship drives, biogas plants, robotic lines, irrigation pumping stations, transformer substations, hydraulic drives and traction electric drives, reducing downtime and energy consumption without changing the existing control infrastructure.","url":"https://doi.org/10.5935/jetia.v12i58.3405","authors":["Dmytro Koshkin","Larisa Vakhonina","A.D. Tsyganov","Iryna Sukovitsyna"],"tags":["Energy consumption","Control theory (sociology)","Approximation error","Engineering","Mean squared error"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5935/jetia.v12i58.3405","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7134894034","name":"Dynamic stress monitoring and analysis of cranes based on digital-twin modeling","source":"openalex","abstract":"Abstract. Cranes used in factories and ports are frequently exposed to potential risks arising from complex operating conditions. To comprehensively assess operational reliability, digital technologies are being increasingly employed for dynamic monitoring and optimization during crane operations. This study focuses on the dynamic stress variations in the main truss of cranes during operations. First, a digital mapping model between a scaled physical crane and its virtual counterpart was developed using a parametric design approach based on a real-world engineering crane. Using this model, a digital-twin representation of the crane's dynamic stress field was constructed. Nodal stresses of the twin crane were obtained using radial basis function (RBF) interpolation in conjunction with finite-element stress field calculations. Subsequently, the K-nearest-neighbor algorithm was used to select relevant nodes for training an interpolation-based surrogate model, enabling end-to-end stress prediction at the crane's nodes. Finally, dynamic stress rendering using the HSV (hue, saturation, value)-color-model-enabled synchronized visualization of the stress field within the digital twin, supporting real-time monitoring, simulation-based optimization, and dynamic life cycle management of the crane. Experimental comparisons of three different lifting conditions show that the average error between finite-element analysis and stress-rendering results is 8.29 %, while the average error between measured data and stress-rendering results is 9.98 %, verifying the predictive reliability of the interpolation model. These findings guide the application of dynamic digital twins of stress fields in industries such as construction, manufacturing, and energy.","url":"https://doi.org/10.5194/ms-17-207-2026","authors":["Guoping Yan","Xiaowei Yang","Jiansheng Zhang","Qi Tao","Yang Li"],"tags":["Dynamic stress","Interpolation (computer graphics)","Rendering (computer graphics)","Stress field","Dynamic simulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.5194/ms-17-207-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7168328840","name":"Latency-Aware Digital Twin-Assisted Cooperative Perception for Autonomous Vehicles","source":"openalex","abstract":"This paper introduces a digital-twin (DT)-assisted cooperative perception framework designed to improve perception accuracy under end-to-end (E2E) latency constraints and to balance perception accuracy and E2E latency under communication resource constraints in autonomous vehicles. We formulate an optimization problem that maximizes perception accuracy subject to latency and communication limitations, and solve it using a newly proposed coarse-to-fine search (CTFS) algorithm. Simulation results show that the proposed CTFS algorithm achieves 96.6% perception accuracy, close to exhaustive search, under latency constraints while reducing computational complexity by approximately 85.78%. The DT-assisted framework further achieves a 50% reduction in the non-DT communication cost through estimated, time-synchronized state updates.","url":"https://openalex.org/W7168328840","authors":["Boniface Uwizeyimana","Manobendu Sarker","Abraham O. Fapojuwo"],"tags":["Latency (audio)","Perception","Computer science","Real-time computing","Reduction (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165752175","name":"PWR In-Core Flow Field Reconstruction with Convolutional Neural Networks for Digital Twin Applications","source":"openalex","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: R13. Current and Future Applications of Machine Learning and Artificial Intelligence in Reactor Physics. Paper ID: 363. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20803665","authors":["Lee Burnett","H. Chou","A. Witoelar","R. A. Brewster","B. Forget","E. Baglietto","M. I. Radaideh"],"tags":["Computer science","License","Convolutional neural network","Field (mathematics)","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.5281/zenodo.20803665","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7159897713","name":"A Bibliometric Mapping of Digital Twins and AI: Scientific Trends and Research Frontiers","source":"openalex","abstract":"This study examines the literature on integrating digital twins and artificial intelligence using bibliometric data to analyze productivity and collaboration. It presents publication distribution by year, leading countries, institutions, and authors, and identifies research trends through keyword and thematic cluster analyses. The results highlight the increasing importance of this integration and the growing trend of international collaboration. Data were collected on June 23, 2025, from the Web of Science Core Collection using the query ‘(TI=(Digital Twin) AND TS=(artificial intelligence)) AND (DT==(“ARTICLE”))’, yielding 657 articles analyzed with VOSviewer (v1.6.20). Findings show that authors such as Tao and Fei, despite few publications, have high influence, while Fan and Zhong gained recognition with a single highly cited study. Strategic connectors include Wang, Fei-Yue, and Lv, while Zhang and Meng serve as “hidden stars.” Institutionally, NTNU stands out for centrality, while Nanjing University of Aeronautics and Astronautics leads in publication quantity but lags in impact. China dominates output, while the U.S., the U.K., and Canada excel in collaborative efforts. Thematic results reveal applications across manufacturing, healthcare, engineering, and city management, supported by machine learning, deep learning, 6G, and edge computing, as well as important social aspects like ethics and governance.","url":"https://openalex.org/W7159897713","authors":["Ahmet Doğan","Ahmet YURTSAL","Şerife Keleş"],"tags":["Thematic map","Data science","Bibliometrics","China","Productivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-14","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7139146437","name":"Evaluating Calibration-Based Digital Twins for IBM Quantum Hardware Simulation","source":"openalex","abstract":"We evaluate calibration-based digital twins for IBM Quantum hardware, aiming to reproduce hardware measurement outcomes on classical simulators. We present a workflow that builds twins from downloadable calibration CSV files by mapping coherence times, gate and readout error rates, and operation durations to thermal-relaxation, depolarizing, and readout error channels, while reconstructing a directed coupling map to restore connectivity constraints during transpilation. We compare four twin variants (CSV-built, backend-derived simulator, backend-derived noise model, and fake-backend snapshots) under a common execution and validation protocol. Experiments on two IBM QPUs, ibm_brisbane and ibm_sherbrooke, use randomized five-qubit circuits of depths 10, 20, and 30 across four optimization levels. Weighted Jaccard similarity indicates that twins constructed from downloadable calibration CSV data often achieved the closest agreement with hardware, while backend-derived twins provided competitive and practical baselines. The results further show that agreement depends on both the target device and the transpilation settings, underscoring the need to validate digital twins for the specific execution setup rather than assuming transferability across devices.","url":"https://openalex.org/W7139146437","authors":["Edgars Bautra","Maksims Dimitrijevs","Abuzer Yakaryılmaz"],"tags":["Computer science","Calibration","Workflow","Noise (video)","Jaccard index"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-15","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7129073664","name":"Dynamic Traceability and Reliability Management: Integrating the Digital Product Passport with Digital Twins and IoT for Batteries and Electronics","source":"openalex","abstract":"The mandates of the Circular Economy (CE) and Industry 5.0 necessitate unprecedented life cycle traceability and management for complex products, such as electronics and lithium-ion batteries. The Digital Product Passport (DPP) has emerged as the centralized data framework for this transition. However, effective DPP implementation requires the robust integration of technologies to overcome the technical challenges of scalability, data integrity, and legacy system management. This work shifts from a high-level conceptual overview to an in-depth technical analysis, detailing the integration architecture of the DPP with the Internet of Things (IoT), Digital Twins (DTs), and Artificial Intelligence (AI). Specifically, we focus on how IoT, via embedded sensors and NFC/RFID tags, acts as the dynamic data carrier that feeds DT. For the battery sector, we propose a technical framework that utilizes the DPP to continuously track State of Health (SoH) and State of Charge (SoC), throughout the entire life cycle. AI/Machine Learning is then integrated within the DT to enable accurate predictions of degradation and failure, directly addressing reliability concerns and optimizing the second life and recycling phases. Our focus is on tackling critical bottlenecks, such as interoperability between IT systems and data storage scalability (e.g., via robust Cloud or Blockchain solutions), ensuring the DPP is established not just as a static data repository, but as a dynamic and predictive tool for product reliability management and regulatory compliance.","url":"https://doi.org/10.20944/preprints202602.1155.v1","authors":["Gabriel Teixeira Brasil","Carlos Roberto Mendes de Oliveira","Allan Mariano Campos Da Silveira","Sebastião Eleutério Filho","Vinicius Vono Peruzzi","Marcos Pimentel"],"tags":["Traceability","Interoperability","Cloud computing","Reliability (semiconductor)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-14","doi":"https://doi.org/10.20944/preprints202602.1155.v1","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4225682191","name":"Role of Additive Manufacturing, Augmented Reality, Internet of Things in building Industry 4.0","source":"openalex","abstract":"As the current world is running at great speed, competition among is at an absolute level. The demand for the customized product is increasing in every sector, and this demand will get fulfilled by new types of technologies like Additive Manufacturing (AM), Augmented Reality (AR), Internet of Things (IoT), Big Data Analytics (BDA), Cyber-Physical System (CPSs), Digital Twin, Artificial Intelligence (AI) and Machine Learning (ML), etc. The combination of all these technologies will lead to a sustainable and smart manufacturing system and arises the concept of Industry 4.0 i.e., the Fourth Industrial Revolution. In this paper, we will mainly focus on concepts of Industry 4.0, Additive Manufacturing, Augmented Reality, and Internet of Things. We will also discuss the integration of modern technologies with the help of some case studies.","url":"https://doi.org/10.5281/zenodo.5651851","authors":["Mehul Pathak","Amrita Madan"],"tags":["Augmented reality","The Internet","Business","Industrial Internet","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-07","doi":"https://doi.org/10.5281/zenodo.5651851","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7116866262","name":"Four-Dimensional Printing of Shape Memory Polymers for Biomedical Applications: Advances in DLP and SLA Manufacturing","source":"openalex","abstract":"Shape memory polymers (SMPs) represent an innovative class of materials that possess programmed, reversible shape-changing capabilities in response to external stimuli. The recent emergence of SMPs' advanced manufacturing, specifically 4D printing, has created exceptional opportunities for use in biomedical engineering. This review presents a critical synthesis of the latest advances in the chemistry, biomedical applications, manufacturing strategies, and clinical translation of SMPs, highlighting vat photopolymerization techniques, such as stereolithography (SLA) and digital light processing (DLP). Notably, 4D-printed SMPs can promote spatiotemporally controlled architectures, and applications include minimally invasive implants, dynamic tissue scaffolds, and multifunctional drug delivery. This paper focuses on recent advances in resin design, multi-responsive and nanocomposite resins, AI-guided material discovery, and emerging biocompatible and biodegradable formulations, while outlining current roadblocks to clinical implementation, including cytotoxicity, sterilization, regulatory compliance, and device shelf-life. Our goal is to elucidate the relationship between material design, processing, and biomedical performance to inform researchers of potential future directions for 4D-printed SMPs and next-generation, patient-centered medical devices.","url":"https://doi.org/10.3390/polym18010024","authors":["Raj Kumar Pittala","Marc Torres","Neha Reddy","Sara Swank","Melanie Ecker"],"tags":["Stereolithography","Biocompatible material","Nanotechnology","Shape-memory polymer","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-22","doi":"https://doi.org/10.3390/polym18010024","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7166005752","name":"Methodology of Multisensory Data Integration for Creating a Digital Twin of Destroyed Objects","source":"openalex","abstract":"Abstract This study presents a methodology for multisensory data integration combining terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry to create highly accurate digital twins of destroyed or damaged architectural heritage. The relevance of the research is driven by the urgent need to document and reconstruct cultural monuments affected by military aggression. While existing single-sensor approaches often leave data gaps in complex structures, the proposed integration of Leica RTC360 and ScanStation P30 scanners with UAV imaging provides complete, geometrically consistent coverage of facades, enclosed courtyards, and destroyed roofs. The developed workflow encompasses high-precision geodetic network establishment, data collection, noise reduction, and multisensor alignment. The results demonstrate that combining ground and aerial data ensures high geometric accuracy, eliminating distortions and providing detailed texturing for models. Furthermore, the study highlights the critical role of high-performance computing in processing massive datasets (over 45 GB) to create optimized models suitable for web publication, GIS, CAD, and BIM applications. The proposed scalable approach provides a sustainable solution for digital heritage preservation, offering a reliable spatial foundation for future architectural and restoration projects without losing historical authenticity.","url":"https://doi.org/10.1088/1755-1315/1638/1/012060","authors":["Kostiantyn Mamonov","Volodymyr Kasyanov","Vitalіі Holovachov","Oleksandr Gorb"],"tags":["Workflow","Computer science","Photogrammetry","Data integration","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.1088/1755-1315/1638/1/012060","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7128589696","name":"EcoTechnoPolitics: Towards Planetary Thinking Beyond Digital–Green Twin Transitions","source":"openalex","abstract":"This article advances EcoTechnoPolitics as a transformational conceptual and policy recommendation framework for hybridizing digital–green twin transitions under conditions of planetary polycrises. It responds to growing concerns that dominant policy approaches by supranational institutions—including the EU, UN, OECD, World Bank Group, WEF, and G20—remain institutionally siloed, technologically reductionist, and insufficiently attentive to ecological constraints. Moving beyond the prevailing digital–green twin transitions paradigm, the article coins EcoTechnoPolitics around three hypotheses: the need for planetary thinking grounded in (i) anticipatory governance, (ii) hybridization, and (iii) a transformational agenda beyond cosmetic digital–green alignment. The research question asks how EcoTechnoPolitics can enable planetary thinking beyond digital–green twin transitions under ecological and technological constraints. Methodologically, the study triangulates (i) an interdisciplinary literature review with (ii) a place-based analysis of two socially cohesive city-regions—the Basque Country and Portland (Oregon)—and (iii) a macro-level policy analysis of supranational digital and green governance frameworks. The results show that, despite planetary rhetoric around sustainability and digitalization, prevailing policy architectures largely externalize ecological costs and consolidate technological power. Building on this analysis, the discussion formulates transformational policy recommendations. The conclusion argues that governing planetary-scale ecotechnopolitical systems requires embedding ecological responsibility within technological governance.","url":"https://doi.org/10.3390/soc16020057","authors":["Igor Calzada","Itziar Eizaguirre"],"tags":["Transformational leadership","Sustainability","Rhetoric","Sociology","Corporate governance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-11","doi":"https://doi.org/10.3390/soc16020057","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7149874416","name":"The Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential Outcomes","source":"openalex","abstract":"The fundamental problem of causal inference - that the counterfactual outcome for any individual is never observed - has shaped the entire methodology of the field. Every existing approach substitutes assumptions for missing data: ignorability, parallel trends, exclusion restrictions. None produces the counterfactual itself. This paper proposes the Digital Twin Counterfactual Framework (DTCF): rather than estimating the counterfactual statistically, we simulate it using a digital twin and subject the simulation to a hierarchical validation regime. We formalize the digital twin simulator as a stochastic mapping within the potential outcomes framework and introduce a hierarchy of twin fidelity assumptions - from marginal fidelity through joint fidelity to structural fidelity - each unlocking a progressively richer class of estimands. The central contribution is threefold. First, a five-level validation architecture converts the unfalsifiable claim that the simulator produces correct counterfactuals into falsifiable tests against observable data. Second, a formal decomposition separates causal quantities into those that are marginally validated (ATE, CATE, QTE - testable through observable-arm comparison) and those that are copula-dependent (the ITE distribution, probability of benefit/harm, variance of treatment effects - permanently reliant on the unobservable within-individual dependence structure). Third, bounding, sensitivity, and uncertainty quantification tools make the copula dependence explicit. The DTCF does not resolve the fundamental problem of causal inference. What it provides is a framework in which marginal causal claims become increasingly testable, joint causal claims become explicitly assumption-indexed, and the gap between the two is formally characterized.","url":"https://openalex.org/W7149874416","authors":["Olav Laudy"],"tags":["Counterfactual thinking","Unobservable","Counterfactual conditional","Computer science","Econometrics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203663728","name":"Digital twins as a catalyst for sustainable construction transport policies? A critical review","source":"openalex","abstract":"The construction industry plays a critical role in shaping urban freight systems while contributing to environmental impacts through material transport and on-site activities.These activities exacerbate congestion, noise and air pollution, particularly due to inefficient planning and limited coordination of material flows.As Europe advances toward climate-neutral urban freight targets, the sector faces a major challenge: absence of integrated systems planning to support sustainable transport policies.Despite isolated examples of logistics control such as cross-site material consolidation, there remains a lack of scalable and data-driven approaches to manage construction logistics sustainably.This study critically reviews how digital twins (DT) can act as catalysts for zero-emission construction logistics planning.Drawing on an analysis of literature, EU policies and expert interviews, it identifies key gaps in current practices.The results translate into DT requirements for measurable, coordinated and policyrelevant construction transport planning capable of supporting life cycle emissions accounting based on logistics and on-site activity.By synthesizing knowledge across construction, logistics, digitalization and sustainability domains, this study proposes a strategic framework showing how DTs act as a catalyst for sustainable construction transport and informing policy innovation.","url":"https://doi.org/10.24928/2026/0208","authors":["Müge Tetik","Nicolas Brusselaers","Ergo Pikas"],"tags":["Sustainability","Business","Construction industry","Engineering","Control (management)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.24928/2026/0208","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7127165058","name":"Smart Technologies in Food Safety and Quality Monitoring: A Review of Technological Advances, Opportunities and Challenges","source":"openalex","abstract":"ABSTRACT Food safety is a critical component of the global food production and consumption system, as contaminated foods continue to trigger outbreaks, recalls, and substantial public health and economic burdens. This review examines recent technological advancements that strengthen food safety monitoring and quality assessment. Emerging analytical tools—supported by artificial intelligence, smartphone‐assisted diagnostics, sensor arrays, and portable detection systems—enable rapid, accurate, and non‐invasive evaluation of contaminants. These innovations enhance decision‐making capabilities for producers, regulators, and consumers, thereby reducing risks and improving traceability across the supply chain. Smart packaging solutions, including Radio Frequency Identification (RFID) indicators, freshness and gas sensors, and biosensor‐embedded films, enable real‐time monitoring of storage conditions, microbial activity, and product integrity. The integration of predictive microbiology software, big data analytics, and cloud‐based platforms further supports proactive, risk‐based food safety management by enabling improved prediction of microbial growth and facilitating standardized data sharing. Overall, advanced digital and sensor‐based tools are reshaping food safety practices by enabling continuous monitoring, rapid diagnostics, and transparent traceability. Future research should prioritize developing interoperable, supply chain–specific smart systems and enhancing their scalability, cost‐effectiveness, and adaptability. These advancements will accelerate the transition toward a more reliable, sustainable, and intelligent global food safety ecosystem. Smart technologies are extensively utilized across the food supply chain to guarantee real‐time monitoring of food safety and quality. Intelligent sensors and IoT‐enabled devices are employed in agricultural fields, processing facilities, and cold chains to incessantly monitor temperature, humidity, gas composition, and microbial activity, facilitating the early identification of deterioration and contamination. Intelligent packaging solutions that utilize biosensors and indicators deliver visual or digital data regarding freshness, shelf life, and product integrity to retailers and consumers alike. Blockchain‐enabled monitoring systems improve traceability, transparency, and swift recall management in food safety events. In processing sectors, AI‐driven vision systems facilitate automated inspection, fault identification, and quality assessment. These applications collectively minimize food waste, enhance regulatory adherence, bolster consumer confidence, and promote sustainable, data‐informed food safety management practices.","url":"https://doi.org/10.1111/jfpe.70367","authors":["Payel Dhar","Abhijit Bhowmik","Pinku Chandra Nath","D. J. Patel","Amar Shankar","Prakhar Tomar","Aashna Sinha"],"tags":["Traceability","Food safety","Supply chain","Risk analysis (engineering)","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-01","doi":"https://doi.org/10.1111/jfpe.70367","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7162746832","name":"Navigating The Twin Transition: A Paradox Perspective On Concurrent Digital and Sustainability Change","source":"openalex","abstract":"Organizations across industries are simultaneously pursuing digital transformation and sustainability transformation – a “twin transition” that promises synergistic value, yet routinely exposes competing demands. While emerging work highlights complementarities between the twins, less is known about how organizations experience and navigate the tensions that arise when they are pursued together. Drawing on the paradox lens from organizational theory, this paper conducts an exploratory, embedded case study of “BankIT,” a major European IT service provider. We identify four persistent tensions – cost efficiency vs. sustainability impact, IT as enabler vs. IT as sustainability concern, individual sustainability values vs. organizational inertia, and fast IT iteration cycles vs. slow sustainability institutionalization – which are navigated through a portfolio of splitting, suppressing, adjusting, and opposing responses. Our preliminary results reframe the twin transition from an alignment task to ongoing navigation, underscoring the need to render “accidental sustainability” visible and to institutionalize structures for continuous navigation.","url":"https://openalex.org/W7162746832","authors":["Daria L. Stumkat","Jan Stockhinger"],"tags":["Cognitive reframing","Sustainability","Portfolio","Perspective (graphical)","Sustainability organizations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-14","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7169923332","name":"Trans-Domain Digital Twin: Conceptual Foundations, Architecture, and Research Outlook","source":"openalex","abstract":"Complex systems comprise heterogeneous domains whose states, uncertainties, risks, and control consequences can cross domain boundaries. Existing cross-domain digital twin approaches broadly focus on comparison, reuse, semantic mapping, standardization, and interoperability, but do not inherently require operational connections among domain states, errors, objectives, constraints, decisions, and controls. This article proposes the trans-domain digital twin as an operational formulation along the continuum of Composite/Federated Digital Twin Systems. This approach connects heterogeneous domain twins through an aligned shared state, explicit coupling of data, models, states, errors, objectives, and controls, heterogeneous temporal coordination, joint decision-making, and feedback-based adaptation. The proposed framework presents a seven-layer conceptual architecture, a trans-domain orchestration core, minimum compliance conditions, a general operational formalism, progressive fast-meso-slow loops, and a single-episode offline training mechanism linked to bounded online adaptation. It also describes conceptual validation and evaluation criteria, a maturity model, a reference deployment architecture, and requirements for runtime safety, provenance, versioning, and model lifecycle management. The framework is conceptually mappable to standards for digital twins, model exchange, distributed simulation, and smart transducers; however, its formal compliance and operational effectiveness must be examined through independent benchmarks, uncertainty quantification, ablation testing, and field validation.","url":"https://openalex.org/W7169923332","authors":["Mansoorali Amiri"],"tags":["Computer science","Orchestration","Domain (mathematical analysis)","Software deployment","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-17","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4399193686","name":"Advanced channel coding schemes for B5G/6G networks: State‐of‐the‐art analysis, research challenges and future directions","source":"openalex","abstract":"Summary As a consequence of continuing demand for additional capacity and higher quality data transmission, channel coding as a key component of a digital communication network has progressed from a classical single pair, point‐to‐point information theoretic application to a class of coding techniques with diverse parameters. The heterogeneous requirements of B5G/6G networks technology have made flexibility of code parameters the main desired feature while designing channel codes. Owing to this, channel coding techniques have evolved to support enabling applications that depend on different factors such as latency, reliability, energy efficiency and throughput. We review and discuss the application of new techniques, modifications in the design and construction of modern channel coding schemes, including block, convolutional, rateless and space‐time codes. Further, the error correction performance of mainstream channel decoders for LDPC, polar and turbo codes is compared and analysed for their attainable error rate. The aim of this study is to highlight the adaptability of the discussed coding schemes for the forthcoming cellular network landscape. This article also addresses the implementational challenges of high throughput, low latency and machine type communication scenarios. Moreover, some recent studies exploring the role of machine learning for optimisation of B5G/6G networks are classified and discussed. Concluding, research areas pertaining to the scalability of error control coding for next generation networking are addressed.","url":"https://doi.org/10.1002/dac.5855","authors":["Abhilasha Gautam","Prabhat Thakur","Ghanshyam Singh"],"tags":["Computer science","Linear network coding","Forward error correction","Coding (social sciences)","Computer engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-29","doi":"https://doi.org/10.1002/dac.5855","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7171283116","name":"Milano Cortina 2026: tecnologia e innovazione come legacy per le infrastrutture sportive italiane","source":"openalex","abstract":"Il presente contributo analizza l'impatto trasformativo delle tecnologie digitali applicate ai cantieri dei Giochi Olimpici e Paralimpici Invernali di Milano Cortina 2026, evidenziando come gli investimenti in corso (3,4 miliardi di euro distribuiti su 98 cantieri) rappresentino un laboratorio di innovazione per l'intero settore delle infrastrutture pubbliche e sportive in Italia. Il saggio esamina la convergenza sinergica tra Building Information Modelling (BIM) — strutturato in conformità al quadro normativo UNI EN ISO 19650-1:2019 — e Digital Twin (Gemello Digitale), intesa come modello strategico di governance del ciclo di vita delle opere. L'analisi ne declina le funzioni complementari: BIM come radice progettuale e informativa: Piattaforma collaborativa che integra dati tecnici, economici, geometrici ed ESG, consentendo di azzerare gli errori di coordinamento, ottimizzare i costi e garantire trasparenza tra tutti gli stakeholder (imprese, enti finanziatori, pubblica amministrazione); Digital Twin come gestione dinamica e manutenzione predittiva: Evoluzione del BIM integrata con sensori IoT, intelligenza artificiale e cloud computing, capace di monitorare in tempo reale consumi energetici, flussi di utenti e stato di usura dell'infrastruttura, sostituendo la manutenzione reattiva con modelli predittivi e sostenibili. Il lavoro conclude che l'adozione sistemica di questo continuum informativo da parte della Società Infrastrutture Milano Cortina 2020-2026 S.p.A. (SIMICO) e del Ministero delle Infrastrutture e dei Trasporti (MIT) costituisce una legacy tecnologica fondamentale. Standardizzare BIM e Digital Twin nell'impiantistica sportiva nazionale permetterà di trasformare stadi, palazzetti e spazi urbani in hub intelligenti, sicuri e trasparenti, ponendo nuovi standard per la rigenerazione urbana e la governance delle opere pubbliche nel Paese.","url":"https://doi.org/10.5281/zenodo.21591090","authors":["Paolo Raeli"],"tags":["Humanities","Political science","Supervisory board","Corporate governance","Embezzlement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-29","doi":"https://doi.org/10.5281/zenodo.21591090","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165575132","name":"Development of a Digital Twin for Anionic Polymerization–The Importance of Reliable Substance Data","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide Anionic polymerization of vinyl monomers enables exceptional control over the molar mass distribution of the synthesized polymers. Still, it requires highly stringent reaction conditions and is extremely sensitive to impurities. These demands necessitate closed reaction setups with minimal external interference, such as dosing or sampling, which in turn limits real-time insight into the process, rendering it effectively a black-box operation. To overcome this limitation, we present a digital twin approach that integrates inline analytics with reaction kinetic modeling, enabling an innovative method for real-time monitoring and control of the polymerization process. This methodology is demonstrated through the synthesis of polystyrene- block -polyisoprene in cyclohexane using a stirred tank batch reactor. By using heat balance data, the developed model predicts the concentration of active species in the reactor and, consequently, the molar mass characteristics of the resulting polymer. Incorporating this predictive capability into a dynamic dosing strategy ensures the targeted synthesis of the desired product, significantly reducing the risk of unsuccessful polymerizations.","url":"https://doi.org/10.1021/acsomega.6c00051","authors":["Felix Kandelhard","Juliane Schymura","Prokopios Georgopanos"],"tags":["Computer science","Digital data","Data mining","Substance use","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.1021/acsomega.6c00051","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W3194319141","name":"Familial Melanoma and Susceptibility Genes: A Review of the Most Common Clinical and Dermoscopic Phenotypic Aspect, Associated Malignancies and Practical Tips for Management","source":"openalex","abstract":"A family history of melanoma greatly increases the risk of developing cutaneous melanoma, a highly aggressive skin cancer whose incidence has been steadily increasing worldwide. Familial melanomas account for about 10% of all malignant melanomas and display an inheritance pattern consistent with the presence of pathogenic germline mutations, among which those involving CDKN2A are the best characterized. In recent years, a growing number of genes, such as MC1R, MITF, CDK4, POT1, TERT, ACD, TERF2IP, and BAP1, have been implicated in familial melanoma. The fact that individuals harboring these germline mutations along with their close blood relatives have a higher risk of developing multiple primary melanomas as well as other internal organ malignancies, especially pancreatic cancer, makes cascade genetic testing and surveillance of these families of the utmost importance. Unfortunately, due to a polygenic inheritance mechanism involving multiple low-risk alleles, genetic modifiers, and environmental factors, it is still very difficult to predict the presence of these mutations. It is, however, known that germline mutation carriers can sometimes develop specific clinical traits, such as high atypical nevus counts and specific dermoscopic features, which could theoretically help clinicians predict the presence of these mutations in prone families. In this review, we provide a comprehensive overview of the high- and intermediate-penetrance genes primarily linked to familial melanoma, highlighting their most frequently associated non-cutaneous malignancies and clinical/dermoscopic phenotypes.","url":"https://doi.org/10.3390/jcm10163760","authors":["Lamberto Zocchi","Alberto Lontano","Martina Merli","Emi Dika","Eduardo Nagore","Pietro Quaglino","Susana Puig","Simone Ribero"],"tags":["CDKN2A","BAP1","Medicine","Melanoma","Germline mutation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-23","doi":"https://doi.org/10.3390/jcm10163760","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7135079759","name":"Development and Effectiveness Evaluation of an Agricultural Simulator Using Digital Twin Metaverse","source":"openalex","abstract":"1. 서 론 1.1.연구 배경 농업은 기후 변화, 에너지 비용상승, 노동력 부족 등 구 조적 도전에 직면해 있으며, 생산성과 지속가능성의 동시 달성이 중요한 과제로 부상하였다.이에 따라 스마트팜을","url":"https://doi.org/10.21086/ksles.2026.2.33.1.054","authors":["Hwanki Min","Sang‐Kyun Kim"],"tags":["Computer science","Agriculture","Simulation","Metaverse","Development (topology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-28","doi":"https://doi.org/10.21086/ksles.2026.2.33.1.054","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7170182390","name":"Cyber Resilient Cloud and Edge Digital Platforms for Data Intensive and Digital Twin Enabled Information Systems","source":"openalex","abstract":"The high rate of oil and gas digitalization has brought about a lot of complications in the processes of handling occupational health and safety in distributed infrastructures. The conventional safety measures are usually reactive in nature and therefore opening systems to break down in terms of the operations, and also due to human error. That is why it is urgent to preventively combat the risks by combining HFE with the latest digital technologies. It is against this backdrop that this paper proposes a cyber-resilient, cloud-edge platform-based digital twin technology in developing better OHS through realtime monitoring and predictive analytics. The approach is a design-science approach, which includes the integration of a zero-trust approach to access, an adaptive security approach, and an automated self-healing approach to make sure that the System undergoes constant synchronization. A high-fidelity simulated validation shows the high-detection rate of 99.95% of the operational anomalies present in the System and shows that the platform recovered all nodes with a 100% node recovery rate, since it enabled automated failure and recovered system throughput to 85.85%, even after experiencing simulated disruptions. The evidence based on these findings shows that the application of the concept of HFE into the framework of resilient digital systems is highly likely to positively contribute to the process of proactive risk management in high-stakes energy contexts.","url":"https://doi.org/10.14445/23488387/ijcse-v13i5p102","authors":["Abdinasir Ismael Hashi","Osman Abdullahi Jama"],"tags":["Cloud computing","Process (computing)","Computer science","Enhanced Data Rates for GSM Evolution","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.14445/23488387/ijcse-v13i5p102","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7203495456","name":"Digital Twin Satellite Networks: A Paradigm for Intelligent, Efficient, and Resilient Operations","source":"openalex","abstract":"Satellite mega-constellations in Low Earth Orbit (LEO) are becoming an important part of next-generation non-terrestrial networks, but their operation remains challenging because of fast network topology variation, intermittent inter-satellite links, hardware disturbances, and strict Size, Weight, and Power (SWaP) constraints. Existing approaches based on Digital Twin (DT), Digital Twin Network (DTN), Software-Defined Networking (SDN), and Open Radio Access Network (O-RAN) provide useful building blocks for intelligent satellite networking, but they do not fully support real-time, predictive, and platform-aware network operation. In this paper, we propose a Digital Twin Satellite Network (DTSN) framework as a closed-loop architecture for reliable and intelligent management of LEO satellite constellations. The proposed framework connects the physical satellite network with a synchronized virtual twin and combines real-time telemetry, Integrated Sensing and Communication (ISAC), predictive intelligence, and resilience-oriented control. To validate the concept, we develop a constellation-scale cross-domain co-simulation using the NASA 42 spacecraft simulator and a Python-based DT bridge for a LEO constellation. The DT continuously ingests physical telemetry to manage a multi-domain threat environment, encompassing kinematic drift, hardware failures, and adversarial jamming over a 600-second flight window. By leveraging a predictive lookahead mechanism and an exponential sensor recovery model, the framework successfully isolates compromised nodes and triggers proactive network reconfiguration, thereby ensuring uninterrupted service and dynamic network resilience. These results show the potential of DTSN to support predictive and resilience-oriented satellite network operations.","url":"https://doi.org/10.48550/arxiv.2608.12865","authors":["Mustafa Alhassan","Peng Hu"],"tags":["Computer science","Network topology","Satellite","Network architecture","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-13","doi":"https://doi.org/10.48550/arxiv.2608.12865","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4282826478","name":"Autonomous air combat decision‐making of UAV based on parallel self‐play reinforcement learning","source":"openalex","abstract":"Abstract Aiming at addressing the problem of manoeuvring decision‐making in UAV air combat, this study establishes a one‐to‐one air combat model, defines missile attack areas, and uses the non‐deterministic policy Soft‐Actor‐Critic (SAC) algorithm in deep reinforcement learning to construct a decision model to realize the manoeuvring process. At the same time, the complexity of the proposed algorithm is calculated, and the stability of the closed‐loop system of air combat decision‐making controlled by neural network is analysed by the Lyapunov function. This study defines the UAV air combat process as a gaming process and proposes a Parallel Self‐Play training SAC algorithm (PSP‐SAC) to improve the generalisation performance of UAV control decisions. Simulation results have shown that the proposed algorithm can realize sample sharing and policy sharing in multiple combat environments and can significantly improve the generalisation ability of the model compared to independent training.","url":"https://doi.org/10.1049/cit2.12109","authors":["Bo Li","Jingyi Huang","Shuangxia Bai","Zhigang Gan","Shiyang Liang","Neretin Evgeny","Shouwen Yao"],"tags":["Air combat","Reinforcement learning","Process (computing)","Construct (python library)","Stability (learning theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-13","doi":"https://doi.org/10.1049/cit2.12109","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7170050867","name":"Integrating Advanced AI techniques to assist Urban Digital Twins Generation","source":"openalex","abstract":"Abstract. Digital twins play a crucial role in autonomous driving applications and transportation system simulations. The need for large scale and dynamic information has increased interest in generating urban digital twins from remote sensing data. Aerial high resolution imagery of urban areas serves as the one of the most important data sources for this task. Advances in deep learning and machine learning allow more accurate and automated extraction of urban elements. In recent years, we have developed and integrated advanced deep learning models to extract various land cover types surrounding road networks, including buildings, roads, and vegetation. Furthermore, we have conducted proof of concept studies aimed at detecting and delineating linear landmarks from aerial imagery, including curbstones and road borders. These developments contribute to the creation of more accurate and detailed urban digital twins, which are essential for advanced urban analytics and intelligent transportation systems.Results from the deep learning models are presented for the Schwarzer Berg district in Brunswick, Germany, which is a test region for the development of mobility services and technologies at the German Aerospace Center (DLR). The AI models are trained using benchmark datasets from other urban regions, indicating that the proposed approaches can be readily transferred and evaluated in other European cities.","url":"https://doi.org/10.5194/isprs-archives-xlix-b1-2026-607-2026","authors":["Jiaojiao Tian","Mareike Weishaupt","Veronika Gstaiger","Guneet Mutreja","Chaikal Amrullah","Corentin Henry","Thomas Krauß","Pablo d’Angelo","Sandeep Kumar Jangir","Stefan Auer","Franz Kurz","Ksenia Bittner"],"tags":["Computer science","Deep learning","Artificial intelligence","Data science","Benchmark (surveying)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-22","doi":"https://doi.org/10.5194/isprs-archives-xlix-b1-2026-607-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7162763349","name":"A Hybrid Digital Twin and AI Framework for Traffic Simulation and Route Finding","source":"openalex","abstract":"Abstract. Urban traffic congestion poses significant challenges for today's cities, affecting mobility, productivity, and environmental quality. The present study proposes a data-driven framework that integrates deep learning specifically Recurrent Neural Networks (RNNs) with Digital Twin (DT) technology to enhance travel time prediction and traffic management. The model utilizes real-time and historical data from sources such as Google Maps, weather services, and traffic sensors to capture temporal dynamics and external factors influencing traffic patterns. The RNN model exhibited a high degree of predictive accuracy, as evidenced by its R² value of approximately 0.94. Furthermore, its incorporation into a DT environment facilitated dynamic 3D simulations and route optimization. A comparative analysis revealed that the DT system exhibited a marked superiority over conventional navigation tools in congested scenarios, with a travel time reduction of up to 26%. The findings indicate the potential for a synergistic integration of artificial intelligence (AI) and data technology (DT) to facilitate the development of intelligent, adaptable urban transportation systems.","url":"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-617-2026","authors":["Zahra Rezaei","Mohammad Hasan Vahidnia","Hossein Aghamohammadi","Zahra Azizi","Saeed Behzadi"],"tags":["Computer science","Traffic congestion","Artificial neural network","Artificial intelligence","Intelligent transportation system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-29","doi":"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-617-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7134291574","name":"Digital-Twin Losses for Lane-Compliant Trajectory Prediction at Urban Intersections","source":"openalex","abstract":"Accurate and safety-conscious trajectory prediction is a key technology for intelligent transportation systems, especially in V2X-enabled urban environments with complex multi-agent interactions. In this paper, we created a digital twin-driven V2X trajectory prediction pipeline that jointly leverages cooperative perception from vehicles and infrastructure to forecast multi-agent motion at signalized intersections. The proposed model combines a Bi-LSTM-based generator with a structured training objective consisting of a standard mean squared error (MSE) loss and a novel twin loss. The twin loss encodes infrastructure constraints, collision avoidance, diversity across predicted modes, and rule-based priors derived from the digital twin. While the MSE term ensures point-wise accuracy, the twin loss penalizes traffic rule violations, predicted collisions, and mode collapse, guiding the model toward scene-consistent and safety-compliant predictions. We train and evaluate our approach on real-world V2X data sent from the intersection to the vehicle and collected in urban corridors. In addition to standard trajectory metrics (ADE, FDE), we introduce ITS-relevant safety indicators, including infrastructure and rule violation rates. Experimental results demonstrate that the proposed training scheme significantly reduces critical violations while maintaining comparable prediction accuracy and real-time performance, highlighting the potential of digital twin-driven multi-loss learning for V2X-enabled intelligent transportation systems.","url":"https://openalex.org/W7134291574","authors":["Kuo-Yi Chao","Erik Leo Haß","Melina Gegg","Jiajie Zhang","Ralph Raßhofer","Alois Knoll"],"tags":["Trajectory","Intersection (aeronautics)","Computer science","Intelligent transportation system","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-04","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7140142093","name":"Lithium-ion Battery Energy Storage Digital Twin System and Applications","source":"openalex","abstract":"Under the background of large-scale development of new energy, the operation and management of lithium battery energy storage systems face many challenges. Digital twin technology provides effective solutions for the intelligent upgrading of energy storage systems. This article focuses on the research of digital twin technology for lithium battery energy storage. Firstly, it clarifies the core connotation and composition architecture of digital twin technology, and then focuses on sorting out its research achievements in key areas such as model construction, real-time monitoring, life monitoring and management, and application scenarios. The model construction adopts a \"bottom-up\" multi-scale modeling and hybrid driving strategy, which can achieve accurate simulation of multiple physical fields; Real time monitoring relies on the \"edge computing+5G+industrial Ethernet\" architecture and hybrid data fusion algorithm to ensure the real-time and reliability of data transmission; Establish a \"assessment prediction maintenance\" full chain control mode for life management; This technology has been successfully applied in multiple practical scenarios such as power grid peak shaving and frequency regulation. Combined with monitoring practice, it has been shown that the core indicators of the constructed system, such as simulation accuracy and fault warning accuracy, meet the design standards, which can significantly improve the operational efficiency of energy storage power stations and reduce maintenance costs. Finally, summarize the core advantages and current problems of this technology, and look forward to future research directions such as multi-scale modeling optimization and cross domain technology integration, providing theoretical support and practical reference for the large-scale promotion and application of lithium battery energy storage digital twin technology.","url":"https://doi.org/10.54691/c2xqn614","authors":["Zhi ZHANG","Zhaoming Zhou","Yanqin He"],"tags":["Computer science","Battery (electricity)","Energy storage","Reliability engineering","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-22","doi":"https://doi.org/10.54691/c2xqn614","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4400791860","name":"Approaches to proactive risk management based on digital twin technologies","source":"openalex","abstract":"Актуальность перехода на высокотехнологичные способы оценки и управления рисками обусловлена интенсивной трансформацией факторов современных рисков, принимающих сложно распознаваемые формы и оказывающих деструктивное влияние на жизнедеятельность организаций. Одновременно, открываются возможности по искусственному управлению процессами зарождения, развития и реализации рисков. В статье рассматриваются теоретические аспекты моделирования рисковых событий с использованием технологий создания цифрового двойника для достижения экономического и управленческого результата с запланированными показателями. Рассматриваемые подходы формируют дополнительное конкурентное преимущество в рыночных, политических и экономических аспектах деятельности. Практическая задача, решаемая с помощью рассматриваемых подходов, связана с обеспечением непрерывности бизнес-процессов, сохранения финансовой устойчивости и управляемости субъекта хозяйственно-экономической деятельности, а также создает достаточный уровень защиты материальных активов и ценностей организации. The relevance of the transition to high-tech methods of risk assessment and management is due to the intensive transformation of modern risk factors that take difficult to recognize forms and have a destructive impact on the life of organizations. At the same time, opportunities are opening up for the artificial management of the processes of origination, development and implementation of risks. The article deals with the theoretical aspects of modeling risk events using technologies for creating a digital twin to achieve economic and managerial results with planned indicators. The approaches under consideration form an additional competitive advantage in the market, political and economic aspects of the activity. The practical task, solved with the help of the approaches under consideration, is associated with ensuring the continuity of business processes, maintaining the financial stability and manageability of the subject of economic activity, and also creates a sufficient level of protection of tangible assets and values of the organization.","url":"https://doi.org/10.25634/mirbis.2022.4.6","authors":["Ф.Г. Ванюрихин","С. В. Семёнов"],"tags":["Risk management","Computer science","Process management","Risk analysis (engineering)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-09","doi":"https://doi.org/10.25634/mirbis.2022.4.6","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7140001163","name":"A vision for a colorectal digital twin that enables proactive and personalized disease management","source":"openalex","abstract":"Colorectal cancer, inflammatory bowel disease, and diverticular disease are progressive conditions that affect millions of individuals worldwide and impose substantial clinical and economic burdens. Early detection and personalized management are essential for slowing disease progression and improving patient outcomes. Current care pathways rely primarily on episodic clinical encounters, laboratory testing, and reactive interventions, limiting early detection and personalized longitudinal management. This paper introduces a conceptual framework for an integrated colorectal digital twin that supports non-invasive, continuous monitoring and personalized disease management. The framework integrates multimodal physiological and behavioral data streams, hybrid mechanistic-machine learning modeling of colorectal function, and a personalized artificial intelligence engine to support proactive disease management. Rather than presenting a deployed clinical system, this work outlines a clear vision and a structured approach for colorectal digital twins, identifying key technical, modeling, and translational challenges necessary for future implementation and validation.","url":"https://openalex.org/W7140001163","authors":["Sayed Chhattan Shah","Andrea Townsend-Nicholson","Spiros Denaxas","Pablo Lamata","Manish Chand"],"tags":["Medicine","Personalized medicine","Disease","Limiting","Inflammatory bowel disease"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-18","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7163753366","name":"A generalized concept of a decision-support system for responses to tariff-induced uncertainty and disruptions","source":"openalex","abstract":"Abstract In this paper, we present a conceptual design for a decision-support system to address tariff-induced uncertainty and disruptions. The system is comprised of predictive (simulation) and prescriptive (optimization) supply chain analytics supplemented by an LLM module for real-time disruption detection. We illustrate applications of the system developed in AnyLogistix supply chain optimization and simulation software and offer generalized mathematical formulations. The experimental part includes several supply chain stress tests under different tariff scenarios, conducted using discrete-event simulation, and recommendations for proactive supply chain reconfiguration via network optimization. This study has both theoretical contributions and practical implications. For the first time, we conceptualize a decision-support system specifically tailored to the specifics of tariff-induced uncertainty. We also show how the decision-support system proposed can be extended toward a digital twin. Our models can be used immediately in practice for stress testing supply chain resilience and for reconfiguration in response to tariff shocks.","url":"https://doi.org/10.1007/s10479-026-07303-w","authors":["Dmitry Ivanov"],"tags":["Supply chain","Computer science","Control reconfiguration","Resilience (materials science)","Theory of computation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-06","doi":"https://doi.org/10.1007/s10479-026-07303-w","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2067295563","name":"Dynamic Cortical Activity during Spasms in Three Patients with West Syndrome: A Multichannel Near‐infrared Spectroscopic Topography Study","source":"openalex","abstract":"PURPOSE: To investigate spatial and temporal cortical activity during clusters of naturally occurring epileptic spasms in patients with West syndrome (WS) by using multichannel near-infrared spectroscopy (mNIRS). METHODS: Conventional magnetic resonance imaging (MRI) and interictal and ictal single-photon emission computed tomography (SPECT) were carried out in three patients with WS. Thereafter, cortical hemodynamics during naturally occurring epileptic spasms were measured by mNIRS with simultaneous video/electroencephalographic (EEG) monitoring. RESULTS: Ictal SPECT revealed multiple hyperperfused areas within the cortex. With the use of mNIRS, an increase in regional cerebral blood volume (CBV) was observed in these areas, which is representative of cortical activation. The increase in CBV was accompanied by an increase in the concentrations of both oxy- and deoxyhemoglobin. The following heterogeneous regional changes in CBV during ictus were observed: (a) transient increases that were synchronized with spasms; (b) a gradual increase during an ictal event that fluctuated in synchrony with spasms; and (c) a combination of transient and gradual increases. An increase in regional CBV occurred in multiple areas that were activated either simultaneously or sequentially during an ictal event. Topographic changes in CBV were closely correlated with the phenotype of the spasm. CONCLUSIONS: During ictal events, multiple cortical areas were activated simultaneously or sequentially. The pattern of cortical activation closely affected the phenotype of the spasm, which suggested that the cortex was involved in the generation of spasms.","url":"https://doi.org/10.1111/j.0013-9580.2004.t01-1-04004.x","authors":["Mitsutoshi Munakata","Kazuhiro Haginoya","Mamiko Ishitobi","Osamu Sakamoto","Ikuko Sato","Taro Kitamura","Mieko Hirose","Hiroyuki Yokoyama","Kazuie Iinuma"],"tags":["Ictal","Epileptic spasms","Ictal-Interictal SPECT Analysis by SPM","Cortex (anatomy)","Neuroscience"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2004-09-29","doi":"https://doi.org/10.1111/j.0013-9580.2004.t01-1-04004.x","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166707382","name":"Blue-Cloud 2026 - D2.7 Tuning between Blue-Cloud Data Lakes and DTO development, 2nd report","source":"openalex","abstract":"By working closely with long-term EU marine data services (i.e., EMODnet and Copernicus Marine), and research data infrastructures (i.e., EuroArgo, SeaDataNet, Ecotaxa and others), Blue-Cloud is introducing a federated model, offering e-infrastructure services (computing, storage, analytics, SSO, AAI, generic service), a data discovery service (10M+ datasets and products from European marine infrastructures), and research intensive virtual labs, embedded in a VRE open to any users with federated identity. Blue-Cloud effectively piloted a marine thematic node within the European Open Science Cloud (EOSC), supporting high-quality marine science and contributing to the European Digital Twin Ocean programme and its implementing facilities. In parallel, it fostered a strong collaborative framework to support and contribute to the European Digital Twin Ocean initiative, EDITO. Building on the success of this pilot phase, the established infrastructure and community have since evolved and are now officially recognized as the EOSC Node | European Digital Twin Ocean — a core component of the EOSC Federation dedicated to advancing and supporting the marine and water research communities. The implementation and operationalisation of this thematic EOSC Node is being further advanced through the EOSC Marine project, which aims to establish the EOSC Node | European Digital Twin Ocean as a sustainable entry point to marine and freshwater data, services, computing resources and virtual research environments within the EOSC Federation. By building upon the foundations laid by Blue-Cloud and leveraging key European marine infrastructures and services, EOSC Marine will strengthen interoperability, accessibility and uptake of marine research resources across Europe. At the same time, the EOSC node will continue to support the EC Mission \"Restore our Ocean and Waters\", its work programme and the development of the European Digital Twin Ocean, which aims to model the ocean's multiple components, provide knowledge and understanding of the past and present, and create trustworthy predictions of its future behaviour. In this context, the EOSC node will contribute to strengthening the links between EDITO, the public infrastructure supporting the European DTO, and EOSC, while the EOSC Marine project further advances the integration of marine research services within the EOSC Federation. A first version of this document was prepared and released early February 2025 in response to a request of DG RTD, DG MARE and DG DEFIS to clarify the positioning of Blue-Cloud with regard to EMODnet, EDITO and EOSC, on how the outputs of Blue-Cloud could be offered as key resources in operational services e.g., EMODnet, EDITO, EOSC Marine Node, and how Blue-Cloud could act as a marine thematic node and link to the EOSC, including promoting in EOSC the exploitation of EMODnet and Copernicus Marine Service data via the EDITO catalogue, as well as potentially other EDITO services and products. The first release has contributed to the EU decisioning process on the future of Blue-Cloud to become the EOSC Node | European Digital Twin Ocean. The current version of this document includes an updating of earlier thinking and details the pathway forward. To compile this document, in total 3 meetings of the DTO Task Force took place within the Blue-Cloud 2026 project. The minutes of those meetings have been added as annexes.","url":"https://doi.org/10.5281/zenodo.21064169","authors":["Marina Tonani"],"tags":["Marine research","Cloud computing","Node (physics)","Service (business)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.5281/zenodo.21064169","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7143780745","name":"Precision nutrition through diet-gut microbiome interactions: Emerging insights driven by artificial intelligence, microbiome health metrics, and mechanistic modeling","source":"openalex","abstract":"Diet-gut microbiome interactions drive substantial inter-individual variability in metabolic responses to food, a fact that challenges the efficacy of uniform dietary recommendations. To address this complexity, advances in multi-omics profiling, dietary assessment technologies, and host clinical phenotyping now generate high-resolution multimodal datasets. However, managing these vast amounts of data necessitates the integration of artificial intelligence (AI) and machine learning (ML) approaches. In this review, we first delineate the multimodal data landscape and its associated computational workflows. These range from the initial preprocessing of heterogeneous inputs (filtering, normalization, dimensionality reduction) to ML modeling strategies designed to address high dimensionality, sparsity, and compositionality through feature engineering and regularization. We then summarize core ML applications, including the classification of habitual dietary patterns from microbiome signatures, prediction of postprandial metabolic responses, responder stratification, and in silico simulation of dietary perturbations. Furthermore, recent randomized controlled trials demonstrate the tangible clinical potential of AI-guided personalization. Next, we highlight composite microbiome health metrics and diet-specific indices, such as GMWI2 and DI-GM. These tools are essential because they condense high-dimensional taxonomic profiles into interpretable wellness scores for monitoring diet-induced shifts. We subsequently examine genome-scale metabolic models and microbiome “digital twins” that mechanistically link dietary substrates to community metabolism and host-relevant metabolites. We also discuss emerging hybrid AI-mechanistic frameworks that enhance interpretability, biological plausibility, and scalability. Finally, we outline translational priorities—including the development of diverse longitudinal cohorts, standardized benchmarking, and clinically trustworthy AI—that are required to realize equitable, microbiome-informed precision nutrition.","url":"https://doi.org/10.1080/29933935.2026.2650247","authors":["Maria A. Barrera-Suarez","Conan Zhao","Lioudmila V. Karnatovskaia","Jaeyun Sung"],"tags":["Microbiome","Biology","Computational biology","Computer science","Metagenomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.1080/29933935.2026.2650247","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7167072643","name":"Digital technologies for improving the performance of demographic development governance: the experience of the subjects of the Russian Federation","source":"openalex","abstract":"The subject of the research is the initiatives of the subjects of the Russian Federation aimed at developing approaches to the use of modern digital technologies to enhance the performance of demographic development governance. The main focus is on projects aimed at creating demographic \"digital twins\" and using agent-oriented modeling. The experience of the subjects of the Russian Federation is of interest not only in the context of improving mechanisms for implementing federal provisions at the regional level, but primarily for identifying promising managerial, legislative, and technological innovations that can be generalized and used on a nationwide scale. The main tasks of the research are to systematize regional digital initiatives in the field of demographic development management, assess the current status of projects in terms of their degree of implementation, and analyze the prospects and challenges of using \"digital twins\" and agent-oriented modeling in public management practice. General logical methods, comparative legal analysis, monitoring, diachronic analysis of project information, and a systemic approach were used. This research presents for the first time a summary of the current experience in developing demographic agent-oriented models and \"digital twins\" of the subjects of the Russian Federation, and provides an assessment of the state of legal regulation in this area. The conclusion is made that legal regulation of the development and use of \"digital twins\" and agent-oriented models in the activities of state authorities for managing demographic development is currently virtually absent. Federal and regional legislation concerning the use of these digital technologies in other areas mostly contains provisions of a projective nature, while proactive development of norms is required to define the legal status of \"digital twins,\" principles, and procedures for interaction among various subjects in the context of the application and development of these technologies. The analysis has shown that, despite the widespread use of the term \"digital twin\" in the region, such projects as of June 2026 are still in the development phase. Genuine \"demographic digital twins,\" which change along with physical objects in real time, are also under development. Individual elements of \"digital twins\" are being implemented in the management of various spheres of socio-economic life. Analyzing the pilot experience of the subjects of the Russian Federation allows for early assessment of the pros and cons of different approaches, which potentially helps to avoid risks of \"Path dependence\" problems in case of large-scale implementation of similar projects at the federal level.","url":"https://doi.org/10.7256/2454-0668.2026.3.80819","authors":["Andrey Aleksandrovich Yanik","Светлана Михайловна Попова"],"tags":["Legislation","Russian federation","Context (archaeology)","Legislature","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.7256/2454-0668.2026.3.80819","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2166376702","name":"Hormonal Influences on Cardiovascular Norepinephrine Transporter Responses in Healthy Women","source":"openalex","abstract":"Gender differences in human cardiovascular norepinephrine transporter function may be mediated through female sex hormones. We studied 16 healthy eumenorrheic women (25+/-1 years) during the early follicular phase (day 5+/-0) and midluteal phase (day 22+/-0) of the menstrual cycle. In a randomized, crossover, double-blind fashion, subjects ingested 8 mg of the selective norepinephrine transporter inhibitor reboxetine or placebo. We monitored heart rate, blood pressure, and thoracic bioimpedance at rest and during standard autonomic function tests, including head-up tilt. Venous estradiol and progesterone concentrations were higher in the luteal than in the follicular phase but did not differ between placebo and norepinephrine transporter inhibition testing days. On placebo, hemodynamics at rest and in response to different stressors were mostly identical between cycle phases. In the supine position, norepinephrine transporter inhibition increased blood pressure and stroke volume to a greater extent during the follicular than during the luteal phase. Conversely, the increase in heart rate and cardiac output with norepinephrine transporter inhibition was augmented in the luteal compared with the follicular phase. During head-up tilt with norepinephrine transporter inhibition, blood pressure and stroke volume decreased to a greater extent in the follicular than in the luteal phase. The tachycardic response to head-up tilt with norepinephrine transporter inhibition was augmented in the follicular phase. Our study suggests that sex hormones alter the hemodynamic response to norepinephrine transporter inhibition in women. The phenomenon may be explained by an effect of female sex hormones on norepinephrine transporter function, on compensatory cardiovascular responses, or both.","url":"https://doi.org/10.1161/hypertensionaha.107.107433","authors":["Iryna Moldovanova","Christoph Schroeder","Giris Jacob","Christoph Hiemke","André Diedrich","Friedrich C. Luft","Jens Jordan"],"tags":["Internal medicine","Endocrinology","Norepinephrine","Luteal phase","Norepinephrine transporter"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2008-02-08","doi":"https://doi.org/10.1161/hypertensionaha.107.107433","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166736879","name":"Blue-Cloud 2026 - D2.7 Tuning between Blue-Cloud Data Lakes and DTO development, 2nd report","source":"openalex","abstract":"By working closely with long-term EU marine data services (i.e., EMODnet and Copernicus Marine), and research data infrastructures (i.e., EuroArgo, SeaDataNet, Ecotaxa and others), Blue-Cloud is introducing a federated model, offering e-infrastructure services (computing, storage, analytics, SSO, AAI, generic service), a data discovery service (10M+ datasets and products from European marine infrastructures), and research intensive virtual labs, embedded in a VRE open to any users with federated identity. Blue-Cloud effectively piloted a marine thematic node within the European Open Science Cloud (EOSC), supporting high-quality marine science and contributing to the European Digital Twin Ocean programme and its implementing facilities. In parallel, it fostered a strong collaborative framework to support and contribute to the European Digital Twin Ocean initiative, EDITO. Building on the success of this pilot phase, the established infrastructure and community have since evolved and are now officially recognized as the EOSC Node | European Digital Twin Ocean — a core component of the EOSC Federation dedicated to advancing and supporting the marine and water research communities. The implementation and operationalisation of this thematic EOSC Node is being further advanced through the EOSC Marine project, which aims to establish the EOSC Node | European Digital Twin Ocean as a sustainable entry point to marine and freshwater data, services, computing resources and virtual research environments within the EOSC Federation. By building upon the foundations laid by Blue-Cloud and leveraging key European marine infrastructures and services, EOSC Marine will strengthen interoperability, accessibility and uptake of marine research resources across Europe. At the same time, the EOSC node will continue to support the EC Mission \"Restore our Ocean and Waters\", its work programme and the development of the European Digital Twin Ocean, which aims to model the ocean's multiple components, provide knowledge and understanding of the past and present, and create trustworthy predictions of its future behaviour. In this context, the EOSC node will contribute to strengthening the links between EDITO, the public infrastructure supporting the European DTO, and EOSC, while the EOSC Marine project further advances the integration of marine research services within the EOSC Federation. A first version of this document was prepared and released early February 2025 in response to a request of DG RTD, DG MARE and DG DEFIS to clarify the positioning of Blue-Cloud with regard to EMODnet, EDITO and EOSC, on how the outputs of Blue-Cloud could be offered as key resources in operational services e.g., EMODnet, EDITO, EOSC Marine Node, and how Blue-Cloud could act as a marine thematic node and link to the EOSC, including promoting in EOSC the exploitation of EMODnet and Copernicus Marine Service data via the EDITO catalogue, as well as potentially other EDITO services and products. The first release has contributed to the EU decisioning process on the future of Blue-Cloud to become the EOSC Node | European Digital Twin Ocean. The current version of this document includes an updating of earlier thinking and details the pathway forward. To compile this document, in total 3 meetings of the DTO Task Force took place within the Blue-Cloud 2026 project. The minutes of those meetings have been added as annexes.","url":"https://doi.org/10.5281/zenodo.21064168","authors":["Marina Tonani"],"tags":["Marine research","Cloud computing","Node (physics)","Service (business)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-30","doi":"https://doi.org/10.5281/zenodo.21064168","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4390203935","name":"Digital Twin of the Educational System as one of the Elements of the Budget System","source":"openalex","abstract":"The education of future generations is the most important strategic task of the state. During the pandemic in 2020, there was a black swan not only in the economic systems of the world stage, but also in the educational sphere. It is important to emphasize that this dramatic transition to digital education has had the double effect that we are seeing now. Convenience, without leaving home, to connect to lectures from both your university (or school) and various digital platforms of additional education, which has been an important factor in economic growth in recent years. The volume of the e-education market has grown 900 times since the beginning of 2000.","url":"https://doi.org/10.18254/s207751800028600-9","authors":["Maria Burilina"],"tags":["Task (project management)","State (computer science)","Political science","Economic growth","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.18254/s207751800028600-9","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7158874068","name":"Decentralised Manufacturing as a Networked Cyber–Physical System: Formalising Free and Open-Source Software Governance and ML Adaptation for Distributed Robustness","source":"openalex","abstract":"Decentralised manufacturing is expanding as digitally controlled fabrication tools become accessible to SMEs, independent operators, and community workshops outside traditional factory settings, but the resulting heterogeneous, autonomously operated network introduces systemic uncertainty that no central authority governs. This paper proposes a systems-theoretic framework in which Free and Open-Source Software (FOSS) governance acts as the structural interoperability layer of a distributed cyber–physical manufacturing system (CPS), and node-local digital twins—each hosting a machine learning (ML) disturbance estimator—provide local adaptive compensation without centralised data aggregation. A defining property of the architecture is automatic improvement propagation: learned corrections distribute via federated learning to structurally similar nodes without operator intervention, and the open, observable FOSS ecosystem enables advances in one fabrication modality to transfer to others through shared interface standards. The framework is applied analytically to three disturbance classes: regulatory restriction, technical process variability, and supply chain disruption. Across cases, the analysis shows how open modular interfaces and local adaptation preserve functional continuity under perturbations that would more strongly affect centralised architectures. The contribution is a unified mathematical basis for robustness analysis in decentralised manufacturing CPS and a foundation for future simulation and empirical validation.","url":"https://doi.org/10.3390/systems14050469","authors":["Bruno Dogančić","Jurica Rožić","Marko Jokić","Marko Čeredar"],"tags":["Computer science","Interoperability","Robustness (evolution)","Toolbox","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-26","doi":"https://doi.org/10.3390/systems14050469","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4411076592","name":"The european digital twin of the ocean: from scientific tool to political stake","source":"openalex","abstract":"This article explores the symbolic dimension of the announcement of an Alliance Française branch opening in Laâyoune, Western Sahara — a dimension that has been a constant feature of the long history of French cultural diplomacy. It demonstrates that this diplomacy, which serves as a true barometer of international relations and raises significant questions of sovereignty, also encounters limits in a territory with fragmented recognition. Finally, it examines, on multiple levels, the overlapping stakes of this branch’s foundation for both Morocco and France.","url":"https://doi.org/10.3917/ris.138.0069","authors":["Romane Lucq","Pierre Bahurel"],"tags":["Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-07","doi":"https://doi.org/10.3917/ris.138.0069","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166900888","name":"A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving","source":"openalex","abstract":"Digital twins (DTs) have become a potential technology to perform risk-free simulation of physical entities for deterministic and high-reliability services in diverse scenarios such as autonomous driving and low-altitude economy. In the autonomous driving scenario, traditional DT methods that rely solely on vehicle's real-time state synchronization, however, might lead to unacceptable computing and communication consumption for construction of high-fidelity DT with redundant data. To address this issue, we first propose a query-driven DT architecture to enable the DT to actively request the desired environment data from vehicles based on its simulation result. Then, we formulate an optimization problem whose goal is to minimize autonomous driving position error while accounting for DT fidelity and communication constraints. We also design a cross-time-step progressive query mechanism to further improve communication efficiency. The simulation results show that our proposed method achieves a 24% reduction in planning position error compared to traditional methods, while reducing communication overhead by 40%.","url":"https://openalex.org/W7166900888","authors":["Nuocheng Yang","Longyu Zhou","S Q Wang","Changchuan Yin","Tony Q. S. Quek"],"tags":["Computer science","Position (finance)","Overhead (engineering)","Reduction (mathematics)","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7172557235","name":"Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning","source":"openalex","abstract":"Incident response is currently managed by security operators using predefined playbooks, resulting in slow, labor-intensive security decision-making processes. Consequently, there is a growing need for automated incident response planning. Decision-theoretic approaches based on control, optimization, and reinforcement learning have been proposed to automate such planning tasks with well-grounded approaches, yet most of which, while guaranteeing strong performance, are limited to abstract models and cannot be directly applied to operational systems. A promising approach to mitigate this limitation is to use the security knowledge embedded in large language models (LLMs) to develop agentic response systems. However, current agentic approaches rely on repeated invocations of the LLM to generate a response plan, which is unreliable and limits the planning horizon due to hallucination. In this paper, we develop a principled LLM-based planning method by combining decision-theoretic planning with LLM-generated response commands. The proposed agentic incident response approach uses a rollout planner to compute a high-level response strategy that allocates security resources (the tactical scale), which is then translated into executable commands by a lightweight LLM agent (the operational scale). Within this architecture, we use a digital twin that supports tactical planning through simulation and operational execution through emulation. Across three attack scenarios, our agentic approach reduces recovery execution time by 15.1\\% on average and increases the recovery rate by 33.6\\% over frontier LLM baselines.","url":"https://openalex.org/W7172557235","authors":["Yiran Gao","Tao Li","Kim Hammar"],"tags":["Incident response","Executable","Computer science","Planner","Response time"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7140341891","name":"Digital Twins for Railway Infrastructure and BIM Solutions: An Overview of Platforms and Projects","source":"openalex","abstract":"Digital twins of railway infrastructure and rolling stock are emerging as a foundational technology for enhancing the reliability, energy efficiency, and operational controllability by enabling end­to­end integration of lifecycle data (surveying — design — construction — operation — maintenance and repair). Purpose: to systematize contemporary digital twin solutions in the railway sector. Results: an overview of corporate platforms and industry ecosystems, such as operational condition­monitoring platforms, BIM solutions for infrastructure, and network­level PLM approaches, is presented, together with descriptions of applied projects implemented by operators and manufacturers. A classification by solution type and lifecycle stage is proposed; a comparative matrix of leading platforms and cases is presented; and issues of standardization (OpenBIM/IFC), information security requirements, and operational parameters are considered. Practical significance: the review’s findings can inform the selection of an appropriate technology stack and guide the formulation of a roadmap for deploying digital twins in railway transport.","url":"https://doi.org/10.20295/2413-2527-2026-145-5-15","authors":["Denis Zuev","Sergey Bochkarev"],"tags":["Standardization","Engineering","Interoperation","Building information modeling","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-25","doi":"https://doi.org/10.20295/2413-2527-2026-145-5-15","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7171268610","name":"SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data","source":"openalex","abstract":"Smartphone personal assistants reason over longitudinal personal data, yet evaluating them requires context-rich evaluation data whose correct answers are known, and real device traces are too privacy-sensitive to share. To address this challenge, we present SenWorld, a physically grounded, deterministic, event-sourced digital-twin simulation that generates such data with ground truth fixed by construction. In SenWorld, personas live through a full day in a world built from real map, weather, holiday, and network data; every observable signal is archived in full-system snapshots; and each evaluation case is labeled by a pointer to an existing record rather than by post-hoc annotation or a large language model (LLM) judge. We evaluate this method with 16 personas in Beijing. The generated data closely matches the held-out real-user benchmark in category distribution (Jensen--Shannon divergence (JSD) 0.070) and in the daily rhythm of communication records (JSD below 0.1), though generated records remain shorter than real ones. Without scripted interaction, personas form a fully reciprocated dialogue subgraph and differentiated behavioral repertoires. Projected into 717 evaluation cases, the generated data exposes 78 failures in a production smartphone assistant, concentrating on call and Short Message Service (SMS) records while contacts, schedules, and alarms never fail. The snapshot pointer confirms each failure as an assistant-side retrieval error, with no LLM judge involved. Overall, SenWorld offers a privacy-safe, reproducible, and distribution-checked path to evaluation data whose labels are fixed by construction.","url":"https://openalex.org/W7171268610","authors":["Zenghui Zhou","Xiaoyang Li","Xiaoxuan Qiao","Zhilang Wei","Tianming Lei"],"tags":["Computer science","Pointer (user interface)","Snapshot (computer storage)","Ground truth","Annotation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-22","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7203764398","name":"THE DIGITAL TWIN OF THE AEROTANK IN THE TASKS OF INTELLIGENT MANAGEMENT OF SEWAGE TREATMENT PLANTS","source":"openalex","abstract":"In the context of water scarcity and tightening environmental requirements, improving the energy efficiency of biological wastewater treatment processes has become particularly important. The aeration tank is one of the most energy-intensive and dynamically complex components units, strongly affected by the variability in influent flow and composition. Conventional PID control, do not provide predictive disturbance compensation and often result in excessive aeration and increased energy consumption. The study proposes an intelligent control approach based on a digital twin, neural network-based influent flow forecasting, and model predictive control (MPC). The digital twin represents a dynamic model of the biological process incorporating key state variables, including substrate, activated sludge, and dissolved oxygen concentrations. A neural network model is used to predict the diurnal variability coefficient of influent flow based on long-term statistical observations. The predicted values are incorporated into the MPC algorithm as measured disturbances, enabling anticipatory aeration system. Simulation results show stabilisation of dissolved oxygen under variable inflow conditions and reduces energy consumption by preventing over-aeration. The proposed architecture is suitable for implementation within existing industrial PLC-SCADA systems in advisory MPC mode and improves energy efficiency, robustness, and environmental performance.","url":"https://doi.org/10.53360/2788-7995-2026-2(22)-21","authors":["T. S. Zhylkybayev","A. V. Zolotov","Yerbol Ospanov","D. Myassoedov","R. Nazarov"],"tags":["Aeration","Inflow","Model predictive control","Context (archaeology)","Sewage treatment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-29","doi":"https://doi.org/10.53360/2788-7995-2026-2(22)-21","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7165789001","name":"PWR In-Core Flow Field Reconstruction with Convolutional Neural Networks for Digital Twin Applications","source":"openalex","abstract":"Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: R13. Current and Future Applications of Machine Learning and Artificial Intelligence in Reactor Physics. Paper ID: 363. Copyright transferred to Politecnico di Torino by the authors for publication in the PHYSOR 2026 proceedings. This record is distributed as Open Access under the Creative Commons Attribution 4.0 International license (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20803666","authors":["Lee Burnett","H. Chou","A. Witoelar","R. A. Brewster","B. Forget","E. Baglietto","M. I. Radaideh"],"tags":["Computer science","License","Convolutional neural network","Field (mathematics)","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.5281/zenodo.20803666","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7130617908","name":"Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins","source":"openalex","abstract":"Stochastic simulation is widely used to study complex systems composed of various interconnected subprocesses, such as input processes, routing and control logic, optimization routines, and data-driven decision modules. In practice, these subprocesses may be inherently unknown or too computationally intensive to directly embed in the simulation model. Replacing these elements with estimated or learned approximations introduces a form of epistemic uncertainty that we refer to as submodel uncertainty. This paper investigates how submodel uncertainty affects the estimation of system performance metrics. We develop a framework for quantifying submodel uncertainty in stochastic simulation models and extend the framework to digital-twin settings, where simulation experiments are repeatedly conducted with the model initialized from observed system states. Building on approaches from input uncertainty analysis, we leverage bootstrapping and Bayesian model averaging to construct quantile-based confidence or credible intervals for key performance indicators. We propose a tree-based method that decomposes total output variability and attributes uncertainty to individual submodels in the form of importance scores. The proposed framework is model-agnostic and accommodates both parametric and nonparametric submodels under frequentist and Bayesian modeling paradigms. A synthetic numerical experiment and a more realistic digital-twin simulation of a contact center illustrate the importance of understanding how and how much individual submodels contribute to overall uncertainty.","url":"https://openalex.org/W7130617908","authors":["Mohammadmahdi Ghasemloo","David J. Eckman","Yaxian Li"],"tags":["Computer science","Bootstrapping (finance)","Frequentist inference","Sensitivity analysis","Parametric statistics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-18","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7143433946","name":"A Four Layer Cybersecurity Framework for Digital Twin Systems in the Food Industry","source":"openalex","abstract":"This paper demonstrates an innovative four-layer cybersecurity framework specifically developed for digital twin environments in the food industry. The suggested architecture integrates machine learning-based real-time anomaly detection (including large language patterns), blockchain-based data integrity, and process mining for advanced operational control. The system was examined in a simulated dairy processing plant with real industrial control system (ICS) components. Notable enhancements were observed, attaining 95% attack detection rate, minimizing false positives to 5%, and lowering an average threat response time to 200 milliseconds. These outcomes demonstrate the effectiveness of integrated highly developed AI algorthims and blockchain technology to preserve digital twin systems in critical production environments. The present method offers a scalable and adaptable approach to address traditional and emerging cybersecurity threats in the food industry sector.","url":"https://doi.org/10.37394/23202.2026.25.12","authors":["Saltanat Almykhametovna Adilzhanova","Aigerim Rakhysh","Murat Kunelbayev","Gulshat Amirkhanova","Bauyrzhan Amirkhanov"],"tags":["Anomaly detection","Scalability","Computer security","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-30","doi":"https://doi.org/10.37394/23202.2026.25.12","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4415440592","name":"Navigating Policy and Technology: AI as a Catalyst for Logistics Decarbonization - Lessons from the UPS Case Study","source":"openalex","abstract":"Transportation is the main source of global carbon emissions. Among this category, the logistics sector has become the key and challenging area for decarbonization due to its huge transportation demand. As one of the largest logistics providers in the world, UPS provides a valuable case study for researching how artificial intelligence can support emission reduction. This article analyzes UPS's carbon reduction practices and the role of artificial intelligence in ground transportation and aviation. The research results show that the adoption of artificial intelligence in routes and scheduling has achieved significant emission reduction effects. However, the full potential of AI is constrained by several critical barriers: Regional differences in digital infrastructure hinder real-time optimization, scattered public policies reduce consistency, the technical integration of UPS's complex logistics network increases costs, and high capital requirements amplify competitive pressure. To address these barriers, the study proposes a strategic framework encompassing hybrid digital-offline routing, industry-wide green standards advocacy, pre-deployment digital twin simulations, and customer-centric green service models. The findings highlight AI's role as both a technological tool and a strategic asset, offering enterprises a viable pathway to reconcile economic performance with environmental stewardship.","url":"https://doi.org/10.54254/2754-1169/2025.bl28477","authors":["Xinyi Hu"],"tags":["Business","Key (lock)","Industrial organization","Service provider","Service (business)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-22","doi":"https://doi.org/10.54254/2754-1169/2025.bl28477","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4411086864","name":"Prediction of Wireless Channel Statistics With Ray Tracing and Uncalibrated Digital Twin","source":"openalex","abstract":"We introduce a framework for predicting wireless channel statistics based on digital twin (DT) and ray tracing. The DT is derived from satellite images and is uncalibrated, as it does not assume precise information on the electromagnetic properties of the materials in the environment. The uncalibrated DT is utilized to derive a geometric prior that informs a Gaussian process (GP) and thereby predict channel statistics using only a few measurements. The framework also quantifies uncertainty, offering statistical guarantees for rate selection in ultra-reliable low-latency communication (URLLC). Experimental validation demonstrates the efficacy of the proposed framework using measurement data.","url":"https://doi.org/10.1109/lwc.2025.3577135","authors":["Mahmoud Saad Abouamer","Robin Jess Williams","Petar Popovski"],"tags":["Computer science","Ray tracing (physics)","Wireless","Channel (broadcasting)","Shadow mapping"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.1109/lwc.2025.3577135","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7168349030","name":"Improving the Management of Loading Docks using Booking Systems with Digital Twins","source":"openalex","abstract":"Carriers often experience delays when accessing loading docks to deliver goods to customers in urban activity hubs. Efficient deliveries are important for the productivity of carriers and reliable deliveries are essential for many receivers. Booking systems provide a means of improving the efficiency of deliveries. However, booking systems need to be well-configured to manage loading docks effectively. Facility managers require improved decision support methods for configuring loading dock booking systems. Determining the optimal settings to achieve desired outcomes requires advanced modelling and monitoring. This paper provides a framework for implementing digital twins to enhance the performance of booking systems at loading docks. The roles and interactions of key stakeholders are described. A range of analytical procedures are outlined. A systems analysis of factors and parameters necessary for developing a digital twin for loading docks is presented.","url":"https://doi.org/10.1016/j.trpro.2026.04.113","authors":["Russell G. Thompson","Seyed Sina Mohri","Lele Zhang"],"tags":["Key (lock)","Productivity","Computer science","Risk analysis (engineering)","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1016/j.trpro.2026.04.113","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7133082687","name":"Real-time digital twin with reinforcement learning for industrial manipulator applications","source":"openalex","abstract":"The industrial sector is undergoing a transformative phase with the integration of advanced robotics and artificial intelligence (AI) technologies. This thesis, explores the synergistic application of digital twin technology and reinforcement learning in enhancing the efficiency and adaptability of robotic manipulators in industrial environments. The core premise of this research focuses on addressing the limitations of manual programming methods in dynamic and complex industrial settings. Manual programming often lacks the adaptability and learning capabilities required for efficient operation in varied and unpredictable environments. The incorporation of reinforcement learning enables robotic manipulators to learn and adjust through interaction with their environment, thereby enhancing operational efficiency and minimizing the need for extensive programming efforts. A digital twin is a digital virtual replica of a physical environment. This allows for the simulation, analysis, and optimization of robotic manipulator behaviours in a controlled, risk-free setting. The integration of digital twins with reinforcement learning enables the efficient training of robotic systems, allowing them to learn complex tasks and adapt to new scenarios without the physical wear and risks associated with real-world training and setting up the environment. The research methodology involves the development of a digital twin simulation environment, the application of reinforcement learning algorithms to robotic manipulators within this environment, and the discussing the importance of the transfer ability of learned task to real-world application. The study also examines the challenges associated with digital twin and reinforcement learning technologies for developing an application. The expected outcomes include improved adaptability and efficiency of robotic manipulators in industrial applications, leading to a reduction in the time, costs, and resources required for programming robots for specific tasks. Additionally, enhanced safety and reliability in autonomous robotic operations are anticipated. This study aims to demonstrate the potential of reinforcement learning and digital twin technologies in transforming industrial robotics, contributing to more flexible, efficient, and intelligent development processes for robotic applications. This thesis has significant implications for the future of industrial automation, offering a pathway to more adaptable, efficient, and intelligent robotic systems. By leveraging the latest advancements in AI and simulation technologies, it aims to contribute to the evolution of industrial robotics, paving the way for more advanced industrial solutions.","url":"https://openalex.org/W7133082687","authors":["Sandeep Samaylal"],"tags":["Adaptability","Reinforcement learning","Artificial intelligence","Computer science","Robotics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7168328745","name":"Site Geometry and Calibration Uncertainties in Digital Twin-enabled Channel Estimation","source":"openalex","abstract":"Fast ray tracing (RT) has stimulated the Digital Twin (DT) as an emerging technology for environment-aware communications. Since wireless propagation is governed by the interaction between site geometry and electromagnetic (EM) properties of the environment, DT-based approaches can provide site-specific prior information for channel estimation. In this work, we investigate the robustness of DT to aid the channel estimation, where multipath features extracted via RT are used to construct the low-rank (LR) eigenstructure of the channel covariance matrix. This LR structure is used in channel estimation. However, the digital representation of propagation model is inaccurate and thus it affects the LR. We explicitly analyze these model mismatches that arise from user positioning errors, which translate into geometric inconsistencies in the site representation, and EM material calibration errors. We derive a first-order perturbative model that separates geometric perturbations, affecting angles and delays, from EM perturbations, affecting path gains. Based on this perturbed model, we provide a normalized mean-square error (NMSE) analysis that reveals a fundamental difference between geometric and EM perturbations. In particular, we show that LR estimation is inherently robust to EM calibration perturbations, while positioning errors, dominate performance degradation by altering the channel eigenstructure. Numerical results confirm that, in urban, suburban and rural scenarios, positioning errors are the primary limiting factor, whereas EM calibration errors have a comparatively limited impact. Despite these mismatches, DT-empowered estimators provide up to 10dB NMSE improvement, over baseline methods, in the urban low signal-to-noise ratio (SNR) settings, while achieving performance comparable to baseline estimators at high SNR for moderate (< 1 m) positioning errors.","url":"https://openalex.org/W7168328745","authors":["Lorenzo Del Moro","Francesco Linsalata","Umberto Spagnolini","Maurizio Magarini"],"tags":["Estimator","Channel (broadcasting)","Algorithm","Robustness (evolution)","Covariance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7161064382","name":"A structured framework for defining and prioritizing quality criteria for industrial digital twins","source":"openalex","abstract":"Abstract Digital twins (DTs) have become key enablers of industrial digitalization by supporting real-time monitoring, predictive capabilities, and data-driven decision-making across manufacturing systems. Despite rapid technological advances, the literature still lacks structured and replicable approaches to assess DT quality and support acquisition and selection processes in industrial contexts. Existing studies tend to address isolated aspects (e.g., data accuracy, interoperability, cybersecurity), limiting comparability and reproducibility across applications. This study proposes a structured and decision-oriented DT quality evaluation framework for acquisition and selection contexts, defined as the first stage of a broader DT lifecycle validation perspective. The proposed approach organizes heterogeneous quality criteria into a coherent evaluation structure tailored to pre-deployment analysis in industrial environments. A hybrid multi-criteria decision-making (MCDM) approach combining the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), implemented as TOPSIS-2N (two-step normalization), is applied to compute criteria weights and rank four generalized industrial DT platform categories (A₁–A₄). The framework comprises six core dimensions: accuracy of digital representation, interoperability, operational integration, data integrity and security, accessibility, and cost-effectiveness. The results show that combining hierarchical weighting with ideal-solution ranking provides a transparent and consistent prioritization of DT quality characteristics. In addition, the proposed approach enhances traceability between expert judgments, criteria weighting, and ranking outcomes, supporting industrial stakeholders in comparing and selecting DT solutions. The proposed framework addresses a relevant gap by providing a structured, decision-oriented, and reproducible approach to DT quality evaluation in industrial acquisition contexts.","url":"https://doi.org/10.1007/s11740-026-01446-2","authors":["Frankysia Faria Maciel","Marcelo Rudek"],"tags":["Comparability","Ranking (information retrieval)","Quality (philosophy)","Weighting","Traceability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"https://doi.org/10.1007/s11740-026-01446-2","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2114802853","name":"Special Report: Schizophrenia 1976","source":"openalex","abstract":"Samuel J. Keith, John G. Gunderson, Ann Reifman, Sherry Buchsbaum, Loren R. Mosher; Special Report: Schizophrenia 1976, Schizophrenia Bulletin, Volume 2, Issue","url":"https://doi.org/10.1093/schbul/2.4.509","authors":["S. J. Keith","John G. Gunderson","Alan Reifman","S. Buchsbaum","Loren R. Mosher"],"tags":["Schizophrenia (object-oriented programming)","Psychology","Psychiatry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1976-01-01","doi":"https://doi.org/10.1093/schbul/2.4.509","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7125711617","name":"Automated extraction of comprehensive digital twin models for smart manufacturing systems","source":"openalex","abstract":"","url":"https://doi.org/10.5445/ir/1000189929","authors":["Atieh Khodadadi","Sanja Lazarova-Molnar"],"tags":["Petri net","Computer science","Executable","Context (archaeology)","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5445/ir/1000189929","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7128390346","name":"From Smart Ports to Sustainable Port Ecosystems: The Transformative Role of Artificial Intelligence","source":"openalex","abstract":"Ports are critical nodes in global supply chains and play a central role in sustainability transitions in trade and logistics. This study investigates how Artificial Intelligence (AI) contributes to sustainable innovation within port ecosystems, focusing on efficiency, transparency, resilience, and environmental performance. To address the research question—how has AI supported sustainability in maritime ports?—we conducted a systematic screening combined with bibliometric performance analysis and science mapping. A total of 80 peer-reviewed articles published between 2019 and 2025 (Scopus) were analysed. The results show a strong acceleration of publications in 2025, alongside a citation–time lag for recent studies. The findings indicate three dominant application streams: (1) operational efficiency and optimisation (terminal operations, forecasting, routing, scheduling); (2) digital and smart-port enablement through IoT and data infrastructures; and (3) governance, risk, and compliance (e.g., Port State Control, inspection analytics, cyber-resilience). The mapping also evidences increasing convergence of AI with complementary technologies—particularly IoT and, in a smaller but visible subset, blockchain—to enhance trust, accountability, and interoperability. By synthesising the field’s intellectual structure and thematic evolution, this study outlines research gaps and proposes future directions toward integrated frameworks for sustainable port ecosystems and Sustainable Commerce 4.0.","url":"https://doi.org/10.3390/systems14020187","authors":["Marcela Souto Castro","Maria Rosilene Sabino","Maria do Rosário Cabrita","Ana Mendes","Tiago Pinho"],"tags":["Transformative learning","Sustainability","Port (circuit theory)","Engineering","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.3390/systems14020187","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7151405370","name":"DIGITAL TWINS UNTUK MANAJEMEN BANJIR PERKOTAAN: TINJAUAN LITERATUR SISTEMATIS","source":"openalex","abstract":"Banjir perkotaan yang semakin kompleks akibat perubahan iklim menuntut adopsi teknologi adaptif seperti Digital Twin (DT). Namun, implementasinya masih menghadapi kendala fragmentasi data, interoperabilitas sensor, dan kebutuhan visualisasi untuk keputusan cepat. Penelitian ini bertujuan memetakan perkembangan terkini dan arah masa depan melalui metode Systematic Literature Review (SLR) terhadap 50 studi terpilih periode 2021–2025. Hasil penelitian mengidentifikasi tiga tren solusi utama dalam diskusi global: (1) Hibridisasi Kecerdasan Buatan, yakni integrasi Graph Neural Networks (GNN) dan Large Language Models (LLM) untuk meningkatkan presisi prediksi; (2) Arsitektur Cloud-Multimodal, menggunakan kerangka kerja serverless untuk fusi data IoT dan satelit secara near real-time ; serta (3) Sistem Pendukung Keputusan Interaktif yang memanfaatkan Game Engines sebagai instrumen simulasi risiko imersif. Kesimpulannya, evolusi DT kini bertransformasi dari pemantauan pasif menjadi ekosistem cerdas yang mengintegrasikan AI tingkat lanjut dengan visualisasi interaktif sebagai standar baru manajemen banjir perkotaan.","url":"https://doi.org/10.36040/jati.v10i2.17252","authors":["Ipan Ripai","Wiyoga Baswardono","Nanang Abdurahman","Estiko Rijanto","Irawan Afrianto","I D Sumitra"],"tags":["Humanities","Physics","Computer science","Art","Stars"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-20","doi":"https://doi.org/10.36040/jati.v10i2.17252","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7166664645","name":"Federated digital twins for intelligent decision-making in circular supply networks","source":"openalex","abstract":"Despite intensified recycling efforts, global material consumption has more than tripled over the past five decades, while the global circularity rate has declined. This widening gap reveals that incremental improvements are insufficient and that a transition toward circular economy must be structural. This transition is constrained by fragmented data ecosystems, limited transparency among stakeholders, and conventional digital twin architectures that struggle to represent the dynamic, multi-loop nature of circular supply networks. To address these challenges, this position paper discusses a conceptual Federated Digital Twin framework that integrates federated system architectures to protect data sovereignty, intelligent agents to enable real-time negotiation and synchronization, and knowledge graphs to ensure semantic interoperability across distributed actors. The framework serves as a decision-support backbone for circular manufacturing, aiming for a coordinated management and systemic coherence of value-retention strategies and production planning for circular supply chains.","url":"https://doi.org/10.7148/2026-0287","authors":["Burak Karaduman","Moharram Challenger","Giovanni Lugaresi"],"tags":["Interoperability","Circular economy","Computer science","Negotiation","Transparency (behavior)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-23","doi":"https://doi.org/10.7148/2026-0287","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7135429513","name":"LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms","source":"openalex","abstract":"Short-video platforms are closed-loop, human-in-the-loop ecosystems where platform policy, creator incentives, and user behavior co-evolve. This feedback structure makes counterfactual policy evaluation difficult in production, especially for long-horizon and distributional outcomes. The challenge is amplified as platforms deploy AI tools that change what content enters the system, how agents adapt, and how the platform operates. We propose a large language model (LLM)-augmented digital twin for short-video platforms, with a modular four-twin architecture (User, Content, Interaction, Platform) and an event-driven execution layer that supports reproducible experimentation. Platform policies are implemented as pluggable components within the Platform Twin, and LLMs are integrated as optional, schema-constrained decision services (e.g., persona generation, content captioning, campaign planning, trend prediction) that are routed through a unified optimizer. This design enables scalable simulations that preserve closed-loop dynamics while allowing selective LLM adoption, enabling the study of platform policies, including AI-enabled policies, under realistic feedback and constraints.","url":"https://openalex.org/W7135429513","authors":["Haoting Zhang","Yunduan Lin","Jinghai He","Denglin Jiang","Zuo-Jun","Z H Zheng"],"tags":["Scalability","Modular design","Computer science","Counterfactual thinking","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-11","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7147670393","name":"Digital Twin Integration for Enhancing Robotic Fastening Systems in Industrial Automation","source":"openalex","abstract":"Digital twin (DT) technologies are increasingly applied in manufacturing to support monitoring, optimization, and predictive maintenance; however, most implementations remain operationally focused and disconnected from system-level decision-making and lifecycle engineering. This limitation is particularly critical in manufacturing environments that exhibit System-of-Systems (SoS) characteristics, where performance emerges from the interactions among autonomous, interdependent subsystems. This study proposes an integrated systems engineering framework in which the digital twin functions as a system-level integrator rather than a standalone simulation tool. The framework embeds Quality Function Deployment (QFD), Analytic Hierarchy Process (AHP), Reliability and Safety analysis (RAMST), and Statistical Process Control (SPC) within a unified digital twin architecture, enabling explicit traceability from stakeholder requirements to design decisions, operational control, and lifecycle performance. The framework is demonstrated through a robotic fastening system operating under high variability, multi-vendor integration, and reliability constraints. A high-fidelity digital twin was developed in MATLAB Simscape and synchronized with operational data via virtual sensors and SPC-based monitoring. Results from a 35-month simulation study (n = 1050 operations) show a 30% reduction in system downtime and a 15% improvement in fastening quality (torque and angle compliance), supported by 95% confidence intervals, alongside enhanced fault detection and preventive maintenance capabilities. The findings demonstrate that integrating decision-making, monitoring, and learning within a single DT environment supports resilient, adaptive manufacturing systems aligned with Industry 4.0–5.0 objectives.","url":"https://doi.org/10.3390/systems14040372","authors":["Eliasaf Levi","Sigal Kordova","Meir Tahan"],"tags":["Traceability","Downtime","Reliability engineering","Digital manufacturing","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-31","doi":"https://doi.org/10.3390/systems14040372","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7131628284","name":"Navigating Earth governance: A cybernetic and pragmatic pathway to digital twin Earth","source":"openalex","abstract":"Digital Twin Earth (DTE) stands at a transformative crossroads: evolve beyond sophisticated “digital mimicry” into a revolutionary planetary governance engine or remain confined to passive observation. We propose that DTE's transformative potential lies in integrating Human-AI synergy to enable proactive Earth governance through continuous intervention-feedback loops connecting real Earth systems, digital simulations, and policy implementation. This paradigm transforms passive environmental monitoring into active navigation of Earth's trajectory within planetary boundaries. While deliberate large-scale intervention carries inherent risks, the potential benefits—building systemic resilience against cascading environmental crises—substantially outweigh the drawbacks of continued passive evolutionary approach. We posit DTE as the high-fidelity simulation environment and AI as the core analytical intelligence within this dynamic governance loop, enabling human stakeholders to continuously design, test, implement, and refine governance strategies. We propose Digital Cousins as a pragmatic implementation pathway that balances scientific robustness with computational feasibility, offering targeted regional governance solutions. By operationalizing AI-powered DTE as an adaptive decision-making system, humanity can consciously navigate Earth’s futures through integrated sensing, simulation, and policy implementation.","url":"https://doi.org/10.59717/j.xinn-geo.2026.100203","authors":["Xin Li","Jianbin Su","Shiwei Yuan"],"tags":["Operationalization","Transformative learning","Earth system science","Corporate governance","Cybernetics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.59717/j.xinn-geo.2026.100203","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4412907242","name":"Applications of Robotic Exoskeletons as Motion-Assistive Systems in Cancer Rehabilitation","source":"openalex","abstract":"Robotic exoskeletons have emerged as promising motion-assistive technologies to meet the growing demand for structured, personalized cancer rehabilitation. This review critically examines their application in enhancing functional recovery, alleviating cancer-related fatigue, and improving quality of life among cancer patients and survivors. We first outline current evidence-based exercise strategies in cancer rehabilitation, followed by an analysis of how robotic exoskeletons complement and extend these approaches by restoring mobility, strengthening musculature, and supporting psychological well-being. Additionally, we assess how well they combine with multimodal interventions like nutritional, psychological, and digital therapeutics and their benefits. The convergence of artificial intelligence, wearable sensors, and telemedicine is also reshaping the landscape of remote, adaptive rehabilitation. Despite encouraging preliminary data, widespread clinical adoption remains limited due to challenges related to cost, exoskeleton system accessibility, safety, and long-term efficacy. We call for large-scale clinical trials, interdisciplinary collaboration, and policy reforms to promote equitable access to robotic-assisted rehabilitation. Collectively, this review offers a comprehensive perspective on the technical principles, therapeutic potential, and future directions of robotic exoskeletons as innovative tools in cancer recovery.","url":"https://doi.org/10.34133/research.0855","authors":["Yisheng Chen","Guanghui Wu","Qiangqiang Wang","Ye Ding","Li Wu","Haojun Shi","Zijin Sun","Zemin Ou","Yunxuan Miao","X. B. Ji","Ke Wu","Zhiwen Luo"],"tags":["Exoskeleton","Rehabilitation","Human–computer interaction","Motion (physics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.34133/research.0855","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4303959083","name":"Nanocellulose-Based Nanocomposites for Sustainable Applications: A Review","source":"openalex","abstract":"Nanocellulose has emerged in recent years as one of the most notable green materials available due to its numerous appealing factors, including its non-toxic nature, biodegradability, high aspect ratio, superior mechanical capabilities, remarkable optical properties, anisotropic shape, high mechanical strength, excellent biocompatibility and tailorable surface chemistry. It is proving to be a promising material in a range of applications pertinent to the material engineering to biomedical applications. In this review, recent advances in the preparation, modification, and emerging application of nanocellulose, especially cellulose nanocrystals (CNCs), are described and discussed based on the analysis of the latest investigations. This review presents an overview of general concepts in nanocellulose-based nanocomposites for sustainable applications. Beginning with a brief introduction of cellulose, nanocellulose sources, structural characteristics and the extraction process for those new to the area, we go on to more in-depth content. Following that, the research on techniques used to modify the surface properties of nanocellulose by functionalizing surface hydroxyl groups to impart desirable hydrophilic-hydrophobic balance, as well as their characteristics and functionalization strategies, were explained. The usage of nanocellulose in nanocomposites in versatile fields, as well as novel and foreseen markets of nanocellulose products, are also discussed. Finally, the difficulties, challenges and prospects of materials based on nanocellulose are then discussed in the last section for readers searching for future high-end eco-friendly functional materials.","url":"https://doi.org/10.3390/nano12193483","authors":["Mohd Nurazzi Norizan","Siti Shazra Shazleen","Aisyah Humaira Alias","Fatimah Athiyah Sabaruddin","M. R. M. Asyraf","Edi Syams Zainudin","Norli Abdullah","Mohd Saiful Samsudin","Siti Hasnah Kamarudin","Mohd Nor Faiz Norrrahim"],"tags":["Nanocellulose","Nanotechnology","Nanocomposite","Materials science","Surface modification"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-05","doi":"https://doi.org/10.3390/nano12193483","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7138014453","name":"A Systematic Review of the Trajectory of Urban Resilience Research: A Bibliometric Perspective on Global Trends and China’s Pathway","source":"openalex","abstract":"This study employs bibliometric analysis, utilizing the visualization tools CiteSpace 6.3.R1 and VOSviewer 1.6.18, to systematically examine 8727 documents from the Web of Science Core Collection (2000–2024) related to “resilient cities” and “urban resilience.” It explores the evolution of resilient city research, current international trends, practical developments in China, and future directions. The study addresses key questions concerning the theoretical foundations of resilient cities, research advances in the security field, China’s implementation pathways, and emerging trends. Findings indicate that resilient city discourse has evolved from a narrow focus on engineering-based disaster prevention toward a multidimensional, socio-ecological–economic adaptive system. This progression can be divided into three phases: the theoretical foundation period (2000–2008), the technological integration period (2009–2018), and the complex crisis response period (2019–present). Internationally, practices are increasingly centered on climate change adaptation, supported by multi-level governance frameworks such as the MCR2030 initiative. China demonstrates a “dual-track” approach that combines policy-driven initiatives with localized innovations, advancing through international pilot projects, domestic policy experimentation, and grassroots exploration. The study also highlights differences between Chinese and Western research in perspectives, methodologies, and theoretical frameworks. Future resilient city development is expected to emphasize systematization, digitalization, and equity, leveraging technologies such as digital twins and artificial intelligence while fostering community participation and multi-scale collaborative governance. By systematically outlining the theoretical evolution and practical logic of resilient cities, this study offers insights for urban resilience building in developing countries and provides a methodological reference for enhancing resilience capabilities across different administrative levels.","url":"https://doi.org/10.3390/su18062945","authors":["Meng Han","Gui Fu","Zhirong Wu","Yao Lu","Xuecai Xie","Surui Xu"],"tags":["Grassroots","Resilience (materials science)","Perspective (graphical)","Corporate governance","China"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"https://doi.org/10.3390/su18062945","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2167034546","name":"Variation in Soil Carbon Dioxide Efflux at Two Spatial Scales in a Topographically Complex Boreal Forest","source":"openalex","abstract":"Carbon dynamics of high-latitude regions are an important and highly uncertain component of global carbon budgets, and efforts to constrain estimates of soil-atmosphere carbon exchange in these regions are contingent on accurate representations of spatial and temporal variability in carbon fluxes. This study explores spatial and temporal variability in soilatmosphere carbon dynamics at both fine and coarse spatial scales in a high-elevation, permafrost-dominated boreal black spruce forest. We evaluate the importance of landscape-level investigations of soil-atmosphere carbon dynamics by characterizing seasonal trends in soil-atmosphere carbon exchange, describing soil temperature-moisture-respiration relations, and quantifying temporal and spatial variability at two spatial scales: the plot scale (0–5 m) and the landscape scale (500–1000 m). Plot-scale spatial variability (average variation on a given measurement day) in soil CO2 efflux ranged from a coefficient of variation (CV) of 0.25 to 0.69, and plot-scale temporal variability (average variation of plots across measurement days) in efflux ranged from a CV of 0.19 to 0.36. Landscape-scale spatial and temporal variability in efflux was represented by a CV of 0.40 and 0.31, respectively, indicating that plot-scale spatial variability in soil respiration is as great as landscape-scale spatial variability at this site. While soil respiration was related to soil temperature at both the plot- and landscape scale, landscape-level descriptions of soil moisture were necessary to define soil respiration-moisture relations. Soil moisture variability was also integral to explaining temporal variability in soil respiration. Our results have important implications for research efforts in high-latitude regions where remote study sites make landscape-scale field campaigns challenging.","url":"https://doi.org/10.1657/1938-4246-44.4.457","authors":["Katharine C. Kelsey","Kimberly P. Wickland","Robert G. Striegl","Jason C. Neff"],"tags":["Spatial variability","Environmental science","Soil carbon","Soil respiration","Spatial ecology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2012-11-01","doi":"https://doi.org/10.1657/1938-4246-44.4.457","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7119520955","name":"Blue-Cloud 2026 - D7.3 Joint Exploitation Plan","source":"openalex","abstract":"This document delivers the Blue-Cloud 2026 Joint Exploitation Plan. It outlines the exploitation strategy, objectives and measures that will be deployed to support the long-term exploitation of the results stemming from the HE Blue-Cloud 2026 project, jointly by Consortium Partners. The Plan focuses on the exploitation of the Blue-Cloud 2026 services and assets as a synergetic digital ecosystem, encompassing and connecting identified Key Exploitable Results, namely: Blue-Cloud 2026 Virtual Research Environment; Blue-Cloud 2026 Core and Generic Services; Blue-Cloud 2026 Spatial & Data Management Services; Blue-Cloud 2026 High Value Thematic Services; Blue-Cloud 2026 Training Courses & Materials; Blue-Cloud Strategic Roadmap to 2030. The Blue-Cloud 2026 Consortium has identified a strategic pathway for long-term exploitation of its open science ecosystem as a marine thematic node within the European Open Science Cloud (EOSC) (see section 2). In this framework, Blue-Cloud's built know-how and results will be harnessed to bridge EDITO -the public infrastructure of the European Digital Twin Ocean- to EOSC, contributing to support major EU marine data services -such as EMODnet and Copernicus Marine- and related EDITO knowledge assets in driving data provision into EOSC. The output knowledge and assets generated in Blue-Cloud, including its underpinning infrastructure, will be used to contribute to consolidate a marine thematic node in EOSC, establishing the conditions that can guide the transition towards becoming a core component of the EDITO program, for long-term sustainability. Within this overall framework, the following Exploitation Objectives (EO) are envisioned (see section 3), across key assets (described in section 4) and a range of key target users (described in section 5): EO1: Institutional integration in the EOSC Federation; EO2: Uptake of existing core, generic and thematic services by users working in the marine and aquatic domains; EO3: Uptake of existing core and generic services by other EOSC nodes, supporting the development of the EOSC Federation; EO4: Marine knowledge landscape alignment and added value contribution; EO5: Community engagement, capacity building & representation. To achieve these objectives, a number of exploitation measures have been defined, and resources required for execution have been either committed or identified (Section 6), towards long-term, sustained impact beyond the project lifetime. Exploitation targets have been established (Section 7). The delivery of a marine thematic node will contribute to shortening the research-to-innovation cycle, enabling its users to harness artificial intelligence (AI) to catalyse the transformation of marine data to products, and foster cross-discipline collaboration. In the long term, it will contribute to enhancing existing marine knowledge, science-to-policy interfaces, and to informing science-based ocean management and governance in support of Mission \"Restore Our Ocean & Waters\" and related EU policies and strategies.","url":"https://doi.org/10.5281/zenodo.18189861","authors":["Julia Vera"],"tags":["Cloud computing","Key (lock)","Bridge (graph theory)","Thematic map","Underpinning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.5281/zenodo.18189861","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7160497847","name":"Digital Twin-Based Self-Adaptation: Value-at-Risk and Learning-to-Synchronize","source":"openalex","abstract":"Digital twins enable safe experimentation and adaptation of mission-critical systems by providing replicas of complex environments. However, their reduced complexity and partial observability can cause underspecification, leading to overfitting in simulation and unstable behavior after deployment. Underspecification manifests as a distribution mismatch between simulated and real systems and as the result of simplified models that miss important structural dependencies. Existing safety techniques, such as shielding and uncertainty quantification, mainly target physical systems, which typically have fewer and simpler internal dependencies than software systems. Our approach extends digital twins to learning-enabled self-adaptive systems affected by underspecification and evaluates two mitigation concepts: Value-at-Risk (VaR) and learning-to-synchronize. VaR captures the trade-off between maximizing learning in the twin and minimizing hazardous interactions with the real system, while learning-to-synchronize decides when and how often to switch training between the twin and the real system. We use these concepts to design an architecture combining a digital twin, a self-adaptation agent, a propagation model, and coordination mechanisms, and evaluate it by injecting failures that propagate through a component-based system. Our results show that an appropriate synchronization rate improves the VaR trade-off by boosting performance and reducing real-environment training, while also revealing how quickly the agent can overfit to the twin, motivating further work on underspecification and better-calibrated learning-to-synchronize strategies.","url":"https://doi.org/10.5772/intechopen.1015304","authors":["C. Adriano","Nicolas Alder","Philipp Hildebrandt","Til Schniese","Maximilian Schulze","Sona Ghahremani","Holger Giese"],"tags":["Underspecification","Overfitting","Computer science","Observability","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-29","doi":"https://doi.org/10.5772/intechopen.1015304","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7166567523","name":"Advances in Smart Environments and Digital Twin: Current Trends and Future Directions","source":"openalex","abstract":"Ubiquitous miniaturisation and increasing computer performance allow technical solutions to be used more often in everyday life to support end users [...]","url":"https://doi.org/10.3390/fi18070342","authors":["Mariusz Żytniewski","Małgorzata Pańkowska","Mariia Rizun","Francesca Fallucchi"],"tags":["Computer science","Current (fluid)","Ubiquitous computing","Human–computer interaction","Everyday life"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-29","doi":"https://doi.org/10.3390/fi18070342","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"oa:W7197002986","name":"Digital Twin Applications in Food Processing and Supply Chains: A Systematic Review","source":"openalex","abstract":"Digital twin technology creates dynamic, real-time virtual replicas of physical entities across their full lifecycle. Enabled by real-time data acquisition, multi-physics coupled simulation, and intelligent decision optimization, it can accurately characterize the core inherent laws of food systems, including heat and mass transfer, dynamic microbial evolution, and quality deterioration during processing, thus emerging as a key enabler for the digital and intelligent transformation of the global food industry. The food sector faces persistent systemic challenges, including skilled labor shortages, raw material batch variability, processing quality fluctuations, high supply chain losses, and limited responsiveness to diversified consumer demands. By integrating Internet of Things (IoT), artificial intelligence (AI), advanced simulation, and big data analytics, digital twin technology enables precise end-to-end control across the food processing value chain. This paper proposes a four-tier technical architecture (perception, model, simulation, and application layers) and a scenario-based implementation framework for core food processing domains, systematically analyzing the technical pathways, operational boundaries, and research gaps of digital twin applications. We further identify cross-cutting coupling challenges across data, model, process, and governance dimensions, along with corresponding mitigation strategies. Our analysis confirms that digital twin adoption delivers real-time monitoring, predictive quality assurance, and holistic process optimization across the food chain, reducing manual reliance, operational losses, and improving product consistency and production efficiency. Finally, we outline priority research directions to advance the inclusive, standardized, and sustainable application of digital twin technology in the food industry.","url":"https://doi.org/10.1016/j.jfutfo.2026.08.012","authors":["Xiaoman Li","Shunliang Zhang","E. Liang","Jiapeng Li","Li Su","Dan Li","Kaihua Zhang","Hui Wang","Meng Liu","Shouwei Wang"],"tags":["Food processing","Computer science","Supply chain","Enabling","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.1016/j.jfutfo.2026.08.012","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7172442832","name":"An Environment-Aware Indoor-Outdoor Integrated Digital Twin for Healthy Mobility","source":"openalex","abstract":"Abstract. Existing building digital twins treat indoor environments as static geometric containers, ignoring the dynamic coupling between ventilation structure states and indoor environmental quality. Furthermore, managing indoor and outdoor spaces as separate data silos prevents the continuous assessment of occupant exposure across building boundaries. This paper proposes an environment-aware, indoor-outdoor integrated digital twin framework coupling geometric entity states with physical environmental fields for healthy mobility assessment. The framework utilizes a three-layer architecture. First, the Geometric-Semantic Layer provides a seamless LOD4 model with topologically stitched spaces, modeling ventilation facilities as first-class entities with mutable state attributes (Full Closed, Half Open, Full Open). Second, the Physical Field Layer maps mobile sensing data (PM2.5, CO2) onto semantic entities using a semantic-constrained method, treating walls and closed windows as aggregation barriers. Finally, the Behavioral Response Layer combines entity-level pollution values with pedestrian counts to compute a cumulative Crowd Exposure Index (CEI). Implemented on a Cesium platform, the framework was validated through a week-long university building experiment. Results show indoor PM2.5 in a fully enclosed study room averaged 61.2 μg/m³—1.6 times the outdoor level and 4.1 times the WHO guideline. This resulted in a CEI 12 times higher than in outdoor transit areas. Semantic correlation confirms the \"Full Closed\" window state primarily drives pollutant accumulation. This validates the framework's core geometry-physics coupling, demonstrating its potential to guide intelligent ventilation interventions and healthy building management.","url":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-555-2026","authors":["Yan Li","Chenming Ye","Wenxuan Shi","Wenqing Zhang","Yuyang Zhang","Teng Hu","Zhizhong Kang"],"tags":["CityGML","Computer science","Ventilation (architecture)","Real-time computing","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-04","doi":"https://doi.org/10.5194/isprs-archives-xlix-b4-2026-555-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4414947044","name":"Research on Intelligent Monitoring of Ship Piping System Based on Digital Twin","source":"openalex","abstract":"With the concept of Intelligent Manufacturing 2025, the shipbuilding industry, as one of the important manufacturing industries in China, needs to address the issue of intelligent and digital transformation. Ship piping system is distributed in various parts of the ship, the number is huge, the spacing is small, and contained in a variety of hull structure, not only is it not easy to find its abnormality, and the alarm cannot determine the location of the fault, which affects the operation and safety of the ship, so there is an urgent need for a visualisation of a new method for monitoring and management. This paper proposes an intelligent monitoring method of pipe system based on three-dimensional digital twin, studies the key technology and architecture of digital twin implementation in the field of ships, and proposes an effective monitoring method. By constructing an equal-scale digital pipe system model of the ship, real-time display of the physical information spatial data of the pipeline and the output data of the pipe line digital twin, and real-time monitoring and abnormal alarm of the ship’s pipe line based on the digital twin, dynamically displaying the abnormal location, thus improving the safety of the ship.","url":"https://doi.org/10.1007/978-981-95-1487-8_57","authors":["Tingyu Jiao","Ji Zeng","Yu Zhang","Huaning Gu","Weiqi Ding"],"tags":["Piping","Pipeline (software)","Intellectualization","Engineering","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-08","doi":"https://doi.org/10.1007/978-981-95-1487-8_57","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7133357740","name":"Graph-based Analysis and Visualization of Metadata in the Context of Urban Digital Twins","source":"openalex","abstract":"Abstract. Urban Digital Twins (UDT) depend on integrating various heterogeneous data sources to represent complex urban environments. Metadata management is an essential component of such systems. This paper introduces a framework for analyzing and visualizing semantic relationships between digital resources in the UDT metadata catalogs, focusing on the Smart District Data Infrastructure (SDDI). Conversion of metadata relationships into directed graphs enables intuitive exploration of the dependencies between resources. Utilizing technologies such as CKAN, NetworkX, Cytoscape, and Dash allows users to perform advanced analytic tasks such as detecting important resources, community detection, detection of isolated resources, cycle detection, and link prediction. It will show how graph theory can help in improving the quality evaluation of metadata, enhance transparency and usability, and contribute to the scalable and effective implementation of UDTs.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-w19-2025-71-2026","authors":["Marija Knezevic","Felix Fuchsloch","Andreas Donaubauer","Thomas H. Kolbe"],"tags":["Metadata","Computer science","Transparency (behavior)","Data science","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-03","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-w19-2025-71-2026","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4388768945","name":"Moving towards sustainable environment development in emerging economies: The role of green finance, green tech‐innovation, natural resource depletion, and forested area in assessing the load capacity factor","source":"openalex","abstract":"Abstract Environmental sustainability is increasingly being prioritized by governments around the world, particularly in emerging economies. This study examined the role of green finance and green technological innovation in environmental sustainability using the “load capacity factor”, also takes into account natural resource depletion and forest cover. This study used annual data from 2000 to 2018 for emerging economies: Brazil, China, India, Indonesia, Turkey and Mexico. Methods of analysis included the cross‐section augmented autoregressive distributed lags (CS‐ARDL) model, along with validation by the common correlated mean group (CCEMG) and augmented mean group (AMG). The results show that green finance, green technological innovation and forested areas consistently have a positive impact on environmental sustainability, while resource depletion has a negative impact. The findings of CS‐ARDL are consistent with those of CCEMG and AMG. The study also makes recommendations that emerging economies need to prioritize REDD+ (Reducing Emissions from Deforestation and Forest Degradation) initiatives and implement resource decoupling policies, in addition to green finance and green technology policies, to achieve environmental sustainability.","url":"https://doi.org/10.1002/sd.2833","authors":["Muhammad Anas","Wei Zhang","Satar Bakhsh","Liaqat Ali","Cem Işık","Jie Han","Xuemeng Liu","Hamad Ur Rehman","Amjad Ali","Min Huang"],"tags":["Sustainability","Emerging markets","Natural resource","Resource depletion","Deforestation (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-16","doi":"https://doi.org/10.1002/sd.2833","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7154564453","name":"An End-to-End Digital Twin System for Sudden Cardiac Arrest Risk Prediction","source":"openalex","abstract":"Sudden cardiac arrest (SCA) is a leading cause of mortality worldwide, accounting for nearly 20% of deaths in developed countries. Its sudden and unpredictable onset makes early detection and timely intervention extremely challenging. Electrocardiograms (ECGs) provide essential information about cardiac electrical activity; however, most existing machine learning (ML) approaches focus on detecting known arrhythmias rather than directly estimating cardiac arrest risk. In addition, many high-performing models rely on full 12-lead ECGs, which limits their applicability in wearable and long-term monitoring settings. This thesis proposes a two-phase framework that combines transfer learning for reduced-lead ECG anal-ysis with a fully implemented, cloud-based digital twin monitoring system. In the first phase, a pre-trained deep learning model is adapted using transfer learning to predict SCA risk from reduced-lead ECG signals. The final model, configured for six-lead input, demonstrates strong classification performance, achieving an accuracy of 88%, AUC of 0.8851, and an F1-score of 0.8334, indicating that reduced-lead ECGs can effectively support cardiac arrest risk prediction. In the second phase, the trained model is integrated into an end-to-end digital twin architecture deployed on a cloud platform. The system ingests ECG data as simulated real-time telemetry, stores and manages signal data through cloud services, performs automated model inference using a containerized prediction service, and continuously updates patient-specific digital twins with risk-related information. A dashboard visualizes ECG waveforms, risk status, and alerts, forming a monitoring pipeline. By implementing and validating this complete system workflow, the proposed framework demonstrates how predictive ECG models can be operationalized within a scalable digital twin environment to support continuous and proactive cardiac arrest risk monitoring.","url":"https://doi.org/10.11575/prism/51251","authors":["Zahra Safarialamoti"],"tags":["Sudden cardiac arrest","Cloud computing","Computer science","Deep learning","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-14","doi":"https://doi.org/10.11575/prism/51251","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7155091073","name":"Digital Twin Applications in Metro Systems: Infrastructure Monitoring and Operational Management","source":"openalex","abstract":"Recently, more and more digital twin technologies are getting attention in managing and operating urban metros. The fact that integrating time-monitor data like a metro digital twin right now has chances to improve its operation and dependability. This essay is mostly about the applications of digital twins for the metro system: infrastructure monitoring and operation management. Digital twin, at the infrastructure level, can be utilized in observing the structure inside the metro tunnel to see if there is a dangerous situation. For example, a swelling on Earth. After applying our collected data to a predictive analysis, this will offer us an early warning and allow preventive maintenance. In terms of operation, a digital twin system would help people to monitor the operation of metro network, which means smoother passenger flow. Although the metro system's digital twin technology has great benefits, problems like data integration, reliability of the whole system and its security still need to be solved. More studies and practices need to take place to make sure that digital twin tech is employed safely and correctly on future metros.","url":"https://doi.org/10.54254/2755-2721/2026.32836","authors":["Yufei Cheng"],"tags":["Twin cities","Reliability (semiconductor)","Computer security","Digital data","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-20","doi":"https://doi.org/10.54254/2755-2721/2026.32836","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7167262528","name":"A Review of AI Methods Used in Digital Twins for Mental Health Monitoring","source":"openalex","abstract":"Digital twins represent a novel approach to the continuous monitoring of mental health.This paper provides a review and critical analysis of four representative papers that apply various AI methods within digital twins for mental health monitoring: TwinMind (passive smartphone sensing with XGBoost and SHAP), Quamer et al. (multimodal fusion of facial, vocal, and physiological signals using a Swin Transformer-TGNN architecture), Wang et al. (EEG signals with a genetic algorithm for accelerating explainable AI methods), and Abilkaiyrkyzy et al. (a BERT based chatbot for conversational depression screening).For each work we described: the data, the AI/ML model, the explainability mechanism and the achieved results.The works are analysed from multiple perspectives: accuracy, explainability and practical applicability.The results show that passive sensing offers the best trade off between practicality and accuracy, whereas multimodal fusion achieves the highest accuracy at the cost of expensive equipment.Genetic algorithms significantly accelerate XAI (from ~30s to <10s), which is of great importance for real time operation.The chatbot exhibits high usability but low accuracy.The conclusion is that there is no universally optimal solution.Instead, the choice depends on the context.Future directions include federated learning for privacy preservation and hybrid architectures that combine sensors and conversational agents.","url":"https://doi.org/10.15308/sinteza-2026-275-282","authors":["Nevena Radešić","Nemanja Jeličić"],"tags":["Chatbot","Computer science","Usability","Mental health","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.15308/sinteza-2026-275-282","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2791698752","name":"Restless legs syndrome is associated with major comorbidities in a population of Danish blood donors","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.sleep.2018.02.007","authors":["Maria Didriksen","Richard P. Allen","Brendan Burchell","Lise Wegner Thørner","Andreas S. Rigas","Emanuele Di Angelantonio","Maria Haahr Nielsen","Poul Jennum","Thomas Werge","Christian Erikstrup","Ole Birger Pedersen","Kaspar René Nielsen","Mie Topholm Bruun","Kristoffer Sølvsten Burgdorf","Erik Sørensen","Henrik Ullum"],"tags":["Danish","Restless legs syndrome","Medicine","Comorbidity","Population"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-03-08","doi":"https://doi.org/10.1016/j.sleep.2018.02.007","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7140226103","name":"Emerging Technologies as Enablers of Sustainable Management: A Comprehensive Framework—The Role of Saudi Arabia’s Vision 2030","source":"openalex","abstract":"Emerging technologies are increasingly positioned as key enablers of sustainable management; however, existing research largely examines digital transformation and sustainability as parallel rather than integrated processes, particularly within national transformation contexts. Moreover, prior studies tend to focus on individual technologies or environmental outcomes, offering limited insight into how emerging technologies are embedded within ESG-oriented management systems and institutional governance frameworks. To address this gap, this study adopts a structured conceptual literature review methodology guided by a systematic PRISMA-informed selection process. Based on the qualitative synthesis of 76 peer-reviewed studies, the paper develops an integrative framework explaining how emerging technologies enable sustainable management and digital transformation within the context of Saudi Arabia’s Vision 2030. Drawing on sustainability transitions, digital transformation, and ESG management literature, emerging technologies are conceptualized as combinatorial digital capabilities operating through a recursive capability loop (Sense–Analyze–Decide–Act–Verify). These capabilities influence sustainability outcomes through four mediating mechanisms—measurement, optimization, transparency, and institutionalization—and are conditionally shaped by national institutional enablers. The proposed framework positions ESG-oriented management systems as a mediating layer between technological capabilities and multi-dimensional sustainability outcomes, while explicitly addressing the double transition paradox, which recognizes both the sustainability benefits and environmental costs of digital infrastructures. The study advances theory by integrating ESG mediation, institutional moderation, and capability-based mechanisms into a unified analytical architecture and formulates six theoretically grounded propositions to guide future empirical research. The framework also provides actionable insights for managers and policymakers seeking to align digital transformation, ESG integration, and national sustainability agendas in Saudi Arabia and comparable emerging economy contexts.","url":"https://doi.org/10.3390/su18073168","authors":["Ahmed Abdallah Abaker","Mustafa Elgili","Bushara Arees"],"tags":["Sustainability","Context (archaeology)","Conceptual framework","Knowledge management","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-24","doi":"https://doi.org/10.3390/su18073168","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4304759681","name":"AI-Native Network Slicing for 6G Networks","source":"openalex","abstract":"With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the 6G networks. The 6G networks are expected to have space-air-ground integrated networks, advanced network virtualization, and ubiquitous intelligence. This article presents an artificial intelligence (AI)-native network slicing architecture for 6G networks to enable the synergy of AI and network slicing, thereby facilitating intelligent network management and supporting emerging AI services. AI-based solutions are first discussed across network slicing lifecycle to intelligently manage network slices, i.e., AI for slicing. Then, network slicing solutions are studied to support emerging AI services by constructing AI instances and performing efficient resource management, i.e., slicing for AI. Finally, a case study is presented, followed by a discussion of open research issues that are essential for AI-native network slicing in 6G networks.","url":"https://doi.org/10.48550/arxiv.2105.08576","authors":["Wen Wu","Conghao Zhou","Mushu Li","Huaqing Wu","Haibo Zhou","Ning Zhang","Xuemin","Shen Shen","Weihua Zhuang"],"tags":["Slicing","Computer science","Virtualization","Network Functions Virtualization","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-18","doi":"https://doi.org/10.48550/arxiv.2105.08576","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W3119504935","name":"Trigeminal Neuralgia TRPM8 Mutation","source":"openalex","abstract":"OBJECTIVE: To assess the functional effects of a variant, c.89 G > A (p.Arg30Gln), in the transient receptor potential melastatin 8 (TRPM8) cold-sensing, nonselective cation channel, which we have previously identified in a patient with familial trigeminal neuralgia. METHODS: imaging and whole-cell patch-clamp recording. RESULTS: ] in cells carrying the mutant channel, and enhances the response to menthol. CONCLUSIONS: We propose that Arg30Gln confers gain-of-function attributes on TRPM8, which contribute to pathogenesis of trigeminal neuralgia in patients carrying this mutation.","url":"https://doi.org/10.1212/nxg.0000000000000550","authors":["Roberta Gualdani","Jun‐Hui Yuan","Philip R. Effraim","Giulia Di Stefano","Andrea Truini","G. Cruccu","Sulayman D. Dib‐Hajj","Philippe Gailly","Stephen G. Waxman"],"tags":["Trigeminal neuralgia","Medicine","TRPM8","Mutation","Anesthesia"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-01","doi":"https://doi.org/10.1212/nxg.0000000000000550","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7170194356","name":"A review of tool wear monitoring in milling: perception, edge processing and cloud decision","source":"openalex","abstract":"Abstract This review introduces a three‑layer architecture (perception, edge processing, and cloud‑based decision) to re‑evaluate digital tool wear monitoring in milling. The analysis covers the main wear mechanisms (flank, crater, edge wear), the role of cemented carbide substrates and PVD/CVD coatings, and the evolution from traditional offline measurement to integrated digital systems. Direct measurement methods (optical microscopy, SEM, profilometry) are compared with indirect sensor‑based approaches that use cutting forces, vibration, acoustic emission, temperature, and computer vision. Emphasis is placed on digital monitoring architectures, examining data acquisition (perception), local processing (edge computing), and cloud‑based decision making. The review assesses the growing application of artificial intelligence (AI) and machine learning algorithms – including convolutional neural networks (CNNs), long short‑term memory networks (LSTMs), and digital twins – for real‑time wear prediction and classification. Based on an analysis of the state-of-the-art, the findings indicate that while accuracy has improved, real‑time robustness, generalization, and uncertainty quantification remain key research frontiers. A central challenge identified here is the velocity at which wear must be identified and quantified, driven by the accelerating pace of digitalization, Industry 4.0 and 5.0, and the growing demand for rapid industrial decision‑making. This imperative is redefining the core objective of wear monitoring toward near‑real‑time responsiveness. Accordingly, the review outlines forward‑looking pathways that prioritize physics‑informed hybrid modeling, open benchmark datasets and validation protocols, edge‑cloud architectures, and explainable AI, thereby paving the way from laboratory validation toward reliable, high‑speed industrial deployment aligned with the requirements of modern smart manufacturing ecosystems.","url":"https://doi.org/10.1007/s00170-026-18763-6","authors":["Marcel Henrique Militão Dib","J. Paulo Davim"],"tags":["Enhanced Data Rates for GSM Evolution","Benchmark (surveying)","Software deployment","Key (lock)","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"https://doi.org/10.1007/s00170-026-18763-6","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7172263900","name":"Digital Horizons in Heritage Museums","source":"openalex","abstract":"This article uses a bibliometric approach to analyse the convergence of artificial intelligence, spatial computing and the metaverse within the museum domain. A corpus of 397 scientific articles, published between 2020 and 2026 and indexed in Scopus and Web of Science, was examined following a rigorous deduplication process. VOSviewer software was used to conduct the analysis, enabling the identification of scientific production patterns, the geospatial distribution of research, and the conceptual structure of the field via keyword co-occurrence networks. The results show accelerated growth in publications starting from 2022, as well as the consolidation of five main thematic clusters. These findings suggest a paradigm shift from static digitisation to the development of intelligent, immersive and user-centred museum ecosystems, with emerging research areas related to digital twins and the environmental sustainability of technological infrastructures. It is important to note that the study shows these technologies do more than just provide a tool; they act as mediators between visitors and museum entities, changing the way communication and education strategies regarding heritage are approached.","url":"https://doi.org/10.62161/revvisual.v18.6264","authors":["Ruth Fernández Hernández"],"tags":["Geospatial analysis","Cultural heritage","Data science","World Wide Web","Thematic map"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-03","doi":"https://doi.org/10.62161/revvisual.v18.6264","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7171268876","name":"Toward Federated Cognitive Digital Twins over the Edge-to-Cloud Continuum","source":"openalex","abstract":"Digital Twins (DTs) are increasingly adopted to monitor, analyze, and optimize Cyber-Physical Systems (CPSs) through continuous interaction between physical assets and their digital counterparts. However, current DT architectures often rely on centralized and monolithic designs, leading to scalability, latency, and resilience issues in distributed environment such as smart cities. Moreover, they provide limited support for semantic integration and high-level reasoning, reducing the effectiveness of DT-based decision-making. Recent studies on Federated Digital Twins (FDTs) have addressed scalability by decomposing complex systems into interacting twins, but they still largely centralize intelligence in cloud components. In parallel, Cognitive Digital Twins (CDTs) enhance DTs with semantic reasoning, explainability, and AI-driven decision support, yet they are typically difficult to integrate into distributed architectures. This paper proposes a Federated Cognitive Digital Twin (FCDT) architecture that combines federation and cognition within a unified approach. The architecture distributes intelligence across the edge-to-cloud continuum through local twins, which provide real-time monitoring and lightweight cognitive capabilities, and global twins, which perform system-level reasoning, simulation, and coordination. By integrating distributed autonomy with cognitive reasoning, the proposed approach improves scalability, responsiveness, and decision-making in complex distributed CPSs","url":"https://openalex.org/W7171268876","authors":["Alessandra Somma","Alessio Bucaioni"],"tags":["Computer science","Cognition","Scalability","Cognitive architecture","Architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7143376695","name":"MONITORING AND MODELING OF THERMODYNAMIC PROCESSES IN THE FOOD INDUSTRY FOR THE DEVELOPMENT OF DIGITAL TWINS","source":"openalex","abstract":"This article discusses an approach to developing digital twins for the food industry based on monitoring and numerical modeling of thermodynamic processes in a baking chamber (electric oven). The professional electric oven ASTAR, designed for the thermal processing of bakery products, was used as the experimental object. As part of the monitoring system, an infrared pyrometer (VICTOR 304F), a thermal imaging camera (UNI-T UTi120S), and an analog thermometer (MGprof) installed inside the oven chamber were employed. This setup allowed for the acquisition of reliable temperature data within the working chamber. Temperature data were collected periodically throughout the baking process, and based on these measurements, a temperature field map was generated. A mathematical model of heat transfer, implemented in two-dimensional (2D) format using MATLAB PDE Toolbox and incorporating Dirichlet and Neumann boundary conditions, was validated through comparison with the experimental results. The obtained results not only enable accurate modeling of temperature gradients and heat fluxes inside the baking chamber, but also lay the foundation for the creation of a digital twin capable of predicting system behavior in real time. The proposed approach can be applied to improve energy efficiency, automate quality control, and optimize technological processes in the food industry. This research contributes to addressing the challenges encountered in modeling and designing thermodynamic processes during the development of digital twins.","url":"https://doi.org/10.55452/1998-6688-2026-23-1-10-21","authors":["K. I. Makhambetov","B. A. Belgibaev","Nadezhda Kunicina","G. A. Amirkhanova"],"tags":["Pyrometer","Thermometer","Toolbox","Process engineering","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-29","doi":"https://doi.org/10.55452/1998-6688-2026-23-1-10-21","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W2058778300","name":"Degenerative Encephalopathy in a Coastal Mountain Kingsnake (Lampropeltis zonata multifasciata) due to Adenoviral-like Infection","source":"openalex","abstract":"In March 2000, an approximately 30-yr-old, male coastal mountain kingsnake (Lampropeltis zonata multifasciata) presented with disequilibrium and unresponsiveness to stimuli that ultimately lead to euthanasia. Histologically, there were foci of gliosis primarily within the caudal cerebrum, brainstem, and cervical spinal cord. Several glial cells and endothelial cells contained magenta, intranuclear inclusion bodies. Electron microscopy of the inclusions revealed paracrystalline arrays of 79-82 nm, viral-like particles. DNA in situ hybridization of sections of formalin-fixed brain using a mixture of two digoxigenin-end-labeled, adenovirus specific, oligonucleotide probes at low and high stringency was positive for adenovirus.","url":"https://doi.org/10.7589/0090-3558-39.2.431","authors":["James T. Raymond","Marnie G. Lamm","Robert W. Nordhausen","Ken Latimer","Michael M. Garner"],"tags":["Biology","Pathology","Cerebrum","Brainstem","Anatomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2003-04-01","doi":"https://doi.org/10.7589/0090-3558-39.2.431","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7204740116","name":"Towards a Digital Twin Framework for Sensory-Aware Neurodivergent Route Personalisation","source":"openalex","abstract":"Around 90% of autistic adults report atypical sensory processing, which is a known barrier to independent travel. Existing navigation systems optimise for time and distance and do not account for the sensory demands of a route. We present NavTwin, a framework that pairs a Personal Digital Twin (PDT), which models a user’s sensitivity profile and preference history, with an Environmental Digital Twin (EDT), which uses a Temporal Graph Network to predict crowd density, noise, and visual complexity along a street graph. We use digital twin in a restricted sense: both twins are state-estimation and prediction models, and the EDT is not yet synchronised with live city feeds, so the loop back to the physical environment remains open. A route scorer combines personal preference, environmental comfort, completion probability, and efficiency, with weights adapted online by a Contextual Bandit. Route explanations are produced by a Gemma 3 1B Small Language Model fine-tuned with Retrieval Augmented Fine-Tuning and QLoRA, so that recommendations are grounded in curated domain documents rather than the model’s internal knowledge. Across four synthetic profiles, our adaptive scheme increases simulated journey completion for the high sensitivity profile by 9.6 percentage points over the strongest static baseline, with the bandit converging in 12–19 journeys. The evaluation is architecture-level, showing that the framework’s components behave coherently and lay the grounds for follow-on user studies with neurodivergent participants.","url":"https://openalex.org/W7204740116","authors":["Vyshnavi Muniganti","Faiyaz Doctor","Brook Abegaz","Hossein ANISI","Charalampos Karyotis","Vasiliki Santikou"],"tags":["Personalization","Computer science","Human–computer interaction","Domain (mathematical analysis)","Sensitivity (control systems)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-09","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7167032131","name":"Analysis of Environmental Design Research Hotspots and Trends Based on Citespace---Taking WOS Data as an Example (2017-2026)","source":"openalex","abstract":"Currently, environmental design, as an essential component of the human living environment, exerts a significant impact on urban renewal, ecological sustainable development, and the improvement of residents' quality of life. With the acceleration of urbanization and the rapid advancement of artificial intelligence and digital technologies, environmental design is no longer confined to static traditional spatial configurations and subjective designer experiences. Instead, it is progressively evolving toward intelligence, systematization, and sustainability. Consequently, this study aims to explore the recent trajectory of environmental design by utilizing CiteSpace 7.0 R0 to conduct a comprehensive bibliometric and visualization analysis of relevant literature (2017–2026) indexed in the Web of Science (WOS). This provides a robust reference for investigating cutting-edge theories and contemporary design practices. The findings indicate the following: (1) Keyword clustering analysis reveals that research hotspots predominantly revolve around four core themes: ecologicalization, localization, digitalization, and micro-renewal. (2) Time trend analysis demonstrates that environmental governance has transitioned from a strictly policy-driven model to a dual-driven approach integrating technology and institutional frameworks, moving toward human-centered digital transformation and urban space optimization under resource constraints. (3) Case studies highlight that the continuous integration of emerging technologies, such as AI, BIM-GIS, and digital twins, has catalyzed substantial progress in urban renewal, digital governance, and historical revitalization, although the rapid proliferation of AI simultaneously introduces complex ethical challenges.","url":"https://doi.org/10.70088/g85ykz42","authors":["Zexin Wang"],"tags":["Data science","Environmental governance","Computer science","Resource (disambiguation)","Urbanization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-13","doi":"https://doi.org/10.70088/g85ykz42","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7164240571","name":"LHCb-AI-Driven Operations and Digital Twin for the LHCb Data Centre","source":"openalex","abstract":"In the exabyte era, physical science research infrastructures will have to deal with massive quantities of raw data by relying on large heterogeneous computing facilities. In the LHCb context, the ODISSEE project aims to maximize the computational performance and reliability of those systems while reducing the required energy and the total cost of ownership by using AI tools and techniques. By leveraging the massive historical dataset of the LHCb Data Centre, it is possible to develop methods for optimizing data center cooling and for dynamically distributing computational tasks according to load requirements. The same monitoring information can be used to train a predictor of potential failures and to design a Digital Twin of the Data Centre. In this contribution, we show how AI can improve operations, efficiency, and sustainability of large-scale computing infrastructures in modern high-throughput physics experiments.","url":"https://openalex.org/W7164240571","authors":["Pierfrancesco Cifra"],"tags":["Computer science","Reliability (semiconductor)","Data center","Raw data","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-15","doi":"","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7119475516","name":"Blue-Cloud 2026 - D7.3 Joint Exploitation Plan","source":"openalex","abstract":"This document delivers the Blue-Cloud 2026 Joint Exploitation Plan. It outlines the exploitation strategy, objectives and measures that will be deployed to support the long-term exploitation of the results stemming from the HE Blue-Cloud 2026 project, jointly by Consortium Partners. The Plan focuses on the exploitation of the Blue-Cloud 2026 services and assets as a synergetic digital ecosystem, encompassing and connecting identified Key Exploitable Results, namely: Blue-Cloud 2026 Virtual Research Environment; Blue-Cloud 2026 Core and Generic Services; Blue-Cloud 2026 Spatial & Data Management Services; Blue-Cloud 2026 High Value Thematic Services; Blue-Cloud 2026 Training Courses & Materials; Blue-Cloud Strategic Roadmap to 2030. The Blue-Cloud 2026 Consortium has identified a strategic pathway for long-term exploitation of its open science ecosystem as a marine thematic node within the European Open Science Cloud (EOSC) (see section 2). In this framework, Blue-Cloud's built know-how and results will be harnessed to bridge EDITO -the public infrastructure of the European Digital Twin Ocean- to EOSC, contributing to support major EU marine data services -such as EMODnet and Copernicus Marine- and related EDITO knowledge assets in driving data provision into EOSC. The output knowledge and assets generated in Blue-Cloud, including its underpinning infrastructure, will be used to contribute to consolidate a marine thematic node in EOSC, establishing the conditions that can guide the transition towards becoming a core component of the EDITO program, for long-term sustainability. Within this overall framework, the following Exploitation Objectives (EO) are envisioned (see section 3), across key assets (described in section 4) and a range of key target users (described in section 5): EO1: Institutional integration in the EOSC Federation; EO2: Uptake of existing core, generic and thematic services by users working in the marine and aquatic domains; EO3: Uptake of existing core and generic services by other EOSC nodes, supporting the development of the EOSC Federation; EO4: Marine knowledge landscape alignment and added value contribution; EO5: Community engagement, capacity building & representation. To achieve these objectives, a number of exploitation measures have been defined, and resources required for execution have been either committed or identified (Section 6), towards long-term, sustained impact beyond the project lifetime. Exploitation targets have been established (Section 7). The delivery of a marine thematic node will contribute to shortening the research-to-innovation cycle, enabling its users to harness artificial intelligence (AI) to catalyse the transformation of marine data to products, and foster cross-discipline collaboration. In the long term, it will contribute to enhancing existing marine knowledge, science-to-policy interfaces, and to informing science-based ocean management and governance in support of Mission \"Restore Our Ocean & Waters\" and related EU policies and strategies.","url":"https://doi.org/10.5281/zenodo.18189860","authors":["Julia Vera"],"tags":["Cloud computing","Key (lock)","Bridge (graph theory)","Thematic map","Underpinning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.5281/zenodo.18189860","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W7154458446","name":"OpenDT: Exploring Datacenter Performance and Sustainability with a Self-Calibrating Digital Twin","source":"openalex","abstract":"Datacenters are the backbone of our digital society, but raise numerous operational challenges. We envision digital twins becoming primary instruments in datacenter operations, continuously and autonomously helping with major operational decisions and with adapting ICT infrastructure, live, with a human-in-the-loop. Although fields such as aviation and autonomous driving successfully employ digital twins, an open-source digital twin for datacenters has not been demonstrated to the community. Addressing this challenge, we design, implement, and experiment using OpenDT, an Open-source, Digital Twin for monitoring and operating datacenters through a continuous integration cycle that includes: (1) live and continuous telemetry data; (2) discrete-event simulation using live telemetry from the physical ICT, with self-calibration; and (3) SLO-aware and human-approved feedback to physical ICT. Through trace-driven experiments with a prototype mainly covering stages 1 and 2 of the cycle, we show that (i) OpenDT can be used to reproduce peer-reviewed experiments and extend the analysis with performance and energy-efficiency results; (ii) OpenDT's online re-calibration can increase digital-twinning accuracy, quantified to a MAPE of 4.39% vs. 7.86% in peer-reviewed work. OpenDT adheres to FAIR/FOSS principles and is available at: https://github.com/atlarge-research/opendt/tree/hcp.","url":"https://doi.org/10.1145/3777911.3800634","authors":["Radu Nicolae","Jules van der Toorn","Stavriana Kraniti","H Liu","Alexandru Iosup"],"tags":["Telemetry","Computer science","Sustainability","Aviation","Digital data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.1145/3777911.3800634","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"oa:W4388047221","name":"An overview of groundwater response to a changing climate in the Murray-Darling Basin, Australia: potential implications for the basin system and opportunities for management","source":"openalex","abstract":"Abstract The Murray-Darling Basin (MDB) is a highly allocated and regulated, mostly semiarid basin in south-eastern Australia, where groundwater is a significant water resource. Future climate predictions for the MDB include an expansion of arid and semiarid climate zones to replace temperate areas. The impacts of climate change are already evident in declining groundwater levels and changes in the connection status between rivers and groundwater, and modelling has predicted a further reduction in future groundwater recharge and ongoing declines in groundwater levels. This is predicted to further reduce river baseflow and negatively impact groundwater-dependent ecosystems (GDEs), and these system responses to a changing climate and extreme events are complex and not always well understood. This report provides an overview of the current state of knowledge of groundwater response to a changing climate for the MDB, and outlines challenges and opportunities for future groundwater research and management. Opportunities for the region include improving data systems and acquisition through automation and novel data sources, and growing capability in integrated, risk-based modelling. Quantification of the groundwater/surface-water connection response to declining groundwater levels, and assessing GDE water requirements and thresholds, would enable identification of vulnerable systems and inform the development of metrics for adaptive management, improving the ability to respond to climate extremes. There is potential to adapt policy to support active management of groundwater where required, including conjunctive use and water banking. Improving knowledge sharing and water literacy, including understanding community values of groundwater and GDEs, would support future decision-making.","url":"https://doi.org/10.1007/s10040-023-02723-5","authors":["Rebecca Doble","Glen Walker","Russell S. Crosbie","Joseph H. A. Guillaume","Tanya M. Doody"],"tags":["Groundwater recharge","Groundwater","Environmental science","Baseflow","Water resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-31","doi":"https://doi.org/10.1007/s10040-023-02723-5","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1049/cds2.12148","name":"WITHDRAWAL: Digital Twin Structure Monitoring System and Key Technologies of Distribution Network Based on Intelligent Communication Network","source":"crossref","abstract":"Abstract WITHDRAWAL: G. Xia, J. Li, D. Chen, W. Li, B. Yu, “Digital Twin Structure Monitoring System and Key Technologies of Distribution Network Based on Intelligent Communication Network”, IET Circuits, Devices &amp; Systems (2025): e12148. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cds2.12148 The above article, published online on 12 December 2025, on Wiley Online Library (wileyonlinelibrary.com), has been withdrawn by agreement between the Institution of Engineering and Technology and John Wiley &amp; Sons Ltd. UK. The withdrawal has been agreed as this article was published due to a technical error on the part of Wiley, the publisher, and without author agreement. The manuscript was submitted to and published in a different journal prior to this accidental publication.","url":"https://doi.org/10.1049/cds2.12148","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-12T08:11:12Z","doi":"10.1049/cds2.12148","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/edm69524.2026.11632149","name":"Model-Oriented Analysis of Multichannel Medical Heart Signals for Creating a Personalized Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/edm69524.2026.11632149","authors":["Mohiniso Hidirova","Mikhail Satin","Abrorjon Turgunov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T19:11:18Z","doi":"10.1109/edm69524.2026.11632149","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1002/9781394383740.ch9","name":"Federated Explainable Hybrid Learning Framework (FEHLF) for Real‐Time, Resource‐Constrained Big Data Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch9","authors":["Tamanna Sharma","Neha Arya","Chirag Sharma","Sonam Nagpal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch9","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/mpcon69668.2026.11508616","name":"A 3D Digital Twin Modeling and Adaptive Algorithm Optimization Method for Intelligent Operation and Maintenance of Substations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mpcon69668.2026.11508616","authors":["Kan Feng","Huatai Chen","Lezhen Zhang","Long Zhou","Yanlun Hou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T03:00:58Z","doi":"10.1109/mpcon69668.2026.11508616","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icieam69213.2026.11549888","name":"Risk Oriented Digital Twin of Airport Apron for Resource Allocation and Surface Movement Optimization Based on Operational Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icieam69213.2026.11549888","authors":["Andrey Zaytsev","Elisey Razgulyayev","Maxim Zavrazhnov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T20:06:38Z","doi":"10.1109/icieam69213.2026.11549888","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/cros69211.2026.11565773","name":"Development of a digital twin for monitoring the autonomy of intelligent and connected electric vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cros69211.2026.11565773","authors":["Mateus Lourenço Do Carmo","Danilo Alves de Lima","Felipe Oliveira e Silva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-19T19:38:33Z","doi":"10.1109/cros69211.2026.11565773","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icsscna68616.2026.11546894","name":"Hybrid Physics-Informed Digital Twin Framework for Concurrent SOC and SOH Estimation in Lithium-Ion Batteries","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsscna68616.2026.11546894","authors":["Harshvardhan S. Chavan","Meera Murali"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T19:50:14Z","doi":"10.1109/icsscna68616.2026.11546894","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.63313/fe.9004","name":"A Real-Time Trajectory Estimation Algorithm for the Virtual Side of an AGV Digital Twin Based on UKF","source":"crossref","abstract":"To address the insufficient trajectory estimation accuracy of the virtual side in AGV digital twins under intermittent measurements, a real-time trajectory estimation algorithm that integrates the Unscented Kalman Filter (UKF) with periodic station-based correction is proposed. Nonlinear state and measurement equations adapted to AGV motion characteristics are constructed. The UKF is employed to realize real-time position recursion based on intermittent velocity and heading information, while high-precision position information from fixed stations is used to correct accumulated errors. Simulation results demonstrate that the proposed algorithm can effectively suppress error accumulation and achieve accurate tracking of the physical trajectory by the virtual side, providing technical support for precise trajectory replication in AGV digital twin systems.","url":"https://doi.org/10.63313/fe.9004","authors":["XinYue Zhang","XiYin Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T23:58:37Z","doi":"10.63313/fe.9004","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.eswa.2026.132899","name":"Multi-Objective Edge-Cloud Digital Twin architecture for sustainable logistics","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eswa.2026.132899","authors":["Hamed Nozari","Zornitsa Yordanova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-17T22:56:51Z","doi":"10.1016/j.eswa.2026.132899","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.infsof.2026.108131","name":"A case study on digital twin-enabled IoT communication architecture for landslide monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.infsof.2026.108131","authors":["Sangeeth Kumar","Maneesha Vinodini Ramesh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-21T07:37:54Z","doi":"10.1016/j.infsof.2026.108131","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.5220/0013479900003929","name":"A Predictive Greenhouse Digital Twin for Controlled Environment Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013479900003929","authors":["Abdellah Kafi","Antonio Sanfilippo","Raka Jovanovic","Sa'd Shannak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-10T00:09:47Z","doi":"10.5220/0013479900003929","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1080/27525783.2025.2538727","name":"Digital twins for machine tools: a systematic mapping study","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2538727","authors":["Shengjian Chen","Carsten Ellwein","Lars Klingel","Rebekka Neumann","Jingxi Zhang","Oliver Riedel","Alexander Verl","Andreas Wortmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T14:54:36Z","doi":"10.1080/27525783.2025.2538727","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003507390-14","name":"Digital Twins for the Agriculture Sector","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-14","authors":["Savita Sheoran","Ritika"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-14","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003507390-2","name":"Smart Agriculture and Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-2","authors":["B. Santhoshini","M. Shanmugam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-2","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1145/3777911.3800640","name":"Predicted In-Sync Digital Twin for Fast Decision Making","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3777911.3800640","authors":["Carmine Colarusso","Ida Falco","Lorenzo Goglia","Pio Antonio Perugini","Eugenio Zimeo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T13:00:11Z","doi":"10.1145/3777911.3800640","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/parc68365.2026.11453523","name":"Integrating Digital Twin and Machine Learning for Cybersecurity in Power Electronics-Dominated Grids","source":"crossref","abstract":"","url":"https://doi.org/10.1109/parc68365.2026.11453523","authors":["Kanchan Yadav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T20:03:39Z","doi":"10.1109/parc68365.2026.11453523","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.32604/cmes.2026.074800","name":"Computational Modeling for Mortality Prediction in Medical Sciences Based on a Proto-Digital Twin Framework","source":"crossref","abstract":"","url":"https://doi.org/10.32604/cmes.2026.074800","authors":["Victor Leiva","Carlos Martin-Barreiro","Viviana Giampaoli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-02T08:52:47Z","doi":"10.32604/cmes.2026.074800","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1115/1.4072473","name":"Physics-Informed Predictive Emissions Monitoring for Industrial Gas Turbines: Digital Twin Modeling, Validation, and Deployment","source":"crossref","abstract":"Abstract Operators are increasingly seeking cost-effective alternatives to continuous emissions monitoring systems to meet regulatory and environmental, social, and governance (ESG) goals. This paper presents the development and validation of a predictive emissions monitoring system (PEMS) for industrial gas turbines, offering a digital solution that predicts NOx and CO emissions using operational data. PEMS employs a hybrid modeling approach that combines machine learning with physics-based principles, ensuring that predictions remain grounded in combustion fundamentals. The models incorporate engine-specific parameters, including critical dimensions, fuel properties, and thermodynamic relationships, and are trained and validated using statistically rigorous methods on hundreds of data points from factory and field tests. Results demonstrate prediction accuracy within ±2 ppm for NOx levels below 10 ppm and within ±20% for higher concentrations, consistent with U.S. Environmental Protection Agency (EPA) PS-16 guidance. Integrated health monitoring ensures model reliability by tracking key indicators such as combustor pressure drop, fuel valve positions, and key temperatures. PEMS is deployed via a digital platform, enabling real-time emissions monitoring, model management, and cloud/edge integration. This work demonstrates how digitalization and advanced, physics-informed modeling can provide a scalable, low-maintenance solution for emissions reporting and optimization, reducing the need for costly hardware-based monitoring systems.","url":"https://doi.org/10.1115/1.4072473","authors":["Stephen E. Theron","Cody W. Allen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T14:05:57Z","doi":"10.1115/1.4072473","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/vrw70859.2026.00384","name":"TwinHaus: Digital Twin Design Tool for Sustainable Building Construction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vrw70859.2026.00384","authors":["Somang Nam","Joel Varghese","Aanya Goel","Hyunggu Jung"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-01T19:51:26Z","doi":"10.1109/vrw70859.2026.00384","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iciice69672.2026.11565102","name":"Realization of the danger detector within the framework of the digital twin of the vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciice69672.2026.11565102","authors":["Alexandra. V Volosova","Maria O. Derevyankina","Victoria A. Korchagina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-19T19:38:35Z","doi":"10.1109/iciice69672.2026.11565102","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.23919/irs70539.2026.11549061","name":"Distributed Bistatic Doppler Localization Using a Blender-Based RF Digital Twin for OFDM-Based Wi-Fi Sensing","source":"crossref","abstract":"","url":"https://doi.org/10.23919/irs70539.2026.11549061","authors":["Kyungmin Hong","Moein Ahmadi","Thomas Stifter","Bhavani Shankar Mysore Rama Rao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:58:55Z","doi":"10.23919/irs70539.2026.11549061","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.cie.2026.112317","name":"Digital twin-based assessment of motion fidelity in a magnetic-levitation transport system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cie.2026.112317","authors":["Akshay Goyal","Nils Erlands"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T15:53:27Z","doi":"10.1016/j.cie.2026.112317","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/menacomm69507.2026.11532904","name":"A Simulation Framework for Pre-Deployment Optimization of Digital Twin Architectures in Resource-Constrained Precision Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1109/menacomm69507.2026.11532904","authors":["Sourour Meddeb","Selma Batti","Khaled Bousetta","Habib Fathallah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-27T19:40:50Z","doi":"10.1109/menacomm69507.2026.11532904","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icuas69441.2026.11598737","name":"A Digital Twin Framework for Multi-UAV and U-Space Operations with Real-Time Testing Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas69441.2026.11598737","authors":["Luca Garbarino","Maria Gaudino","Antonio Vitale","Giancarmine Fasano","Giovanni Cuciniello"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T19:39:09Z","doi":"10.1109/icuas69441.2026.11598737","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.15276/imms.v16.no3.439","name":"Integration of the dynamic state classification model into the digital twin architecture of complex technical systems","source":"crossref","abstract":"","url":"https://doi.org/10.15276/imms.v16.no3.439","authors":["V.V. Vychuzhanin","А.V. Vychuzhanin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T05:45:02Z","doi":"10.15276/imms.v16.no3.439","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/ainit70033.2026.11557674","name":"Closed-Loop Prompt Generation for Digital Twin Training via Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ainit70033.2026.11557674","authors":["Han Lyu","Zheng Wang","Hongda Wang","Yutao Zhou","Meijun Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-16T19:41:35Z","doi":"10.1109/ainit70033.2026.11557674","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/atigb70203.2026.11628465","name":"AI-Driven Predictive Optimization of Smart Hospital Building Operations Using Real-Time IoT Data and Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/atigb70203.2026.11628465","authors":["Suraj Gola","Vaishali Dixit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-11T19:20:43Z","doi":"10.1109/atigb70203.2026.11628465","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1111/ejed.70717","name":"University, Care and Twin Transitions: Digital Language Literacy for Migrant Inclusion and Civic Engagement","source":"crossref","abstract":"ABSTRACT Within the policy framework of the digital and ecological Twin Transition, higher education institutions are increasingly positioned as key actors in fostering inclusive and sustainable transformation. This exploratory, perception‐based study examines how university students and academic staff frame the role of digitally supported second‐language (L2) learning in the inclusion of migrants and refugees. Using an online questionnaire administered to 168 respondents, the study investigates perceptions of digital tools in relation to accessibility, personalization, participation and the public role of universities. The findings indicate a broadly positive orientation toward blended learning and e‐learning platforms, alongside significant concerns regarding teacher training, platform accessibility and the alignment of digital strategies with the needs of vulnerable learners. The article argues that universities can contribute to more inclusive educational environments, while also stressing that the present evidence concerns perceived potential rather than measured educational outcomes.","url":"https://doi.org/10.1111/ejed.70717","authors":["Sara Pellegrini","Riccardo Sebastiani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-06T06:05:33Z","doi":"10.1111/ejed.70717","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.cej.2026.181350","name":"Revisiting local heterogeneity in solid oxide electrolysis cells through a digital twin framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cej.2026.181350","authors":["Seungsoo Jang","Hyeongmin Yu","Yejin Kang","Hyunjin Kim","Kang Taek Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T05:58:06Z","doi":"10.1016/j.cej.2026.181350","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/dsn-s70715.2026.00049","name":"Trust, but Verify: ByzTwin-Range, a Digital Twin Cyber-Range for Byzantine Faults","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dsn-s70715.2026.00049","authors":["Tadeu Freitas","João Soares","Rolando Martins"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T19:11:39Z","doi":"10.1109/dsn-s70715.2026.00049","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/raeeucci67649.2026.11504537","name":"Development of a GAN based Digital Twin for Cardiac Risk Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/raeeucci67649.2026.11504537","authors":["Hemendra Chaudhary","Rupsha Chatterjee","Ridhi Lala","Samiappan Dhanalakshmi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T19:38:16Z","doi":"10.1109/raeeucci67649.2026.11504537","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.4236/wjet.2026.143039","name":"An Immersive Digital Twin Workflow for Engineering Education Using Reality Capture, Virtual Reality, and Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.4236/wjet.2026.143039","authors":["Brian Warren","Opeyemi Ojajuni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-13T08:13:27Z","doi":"10.4236/wjet.2026.143039","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.13052/jwe1540-9589.2385","name":"Software Practice and Experience on Smart Mobility Digital Twin in Transportation and Automotive Industry: Toward SDV-empowered Digital Twin through EV Edge-Cloud and AutoML","source":"crossref","abstract":"A digital twin is a virtual representation of a physical asset that serves as a pivotal convergence technology that facilitates real-time prediction, optimization, monitoring, control, and improved decision-making. It can be widely applied to various domains, such as automotive, manufacturing, logistics, and smart cities. The automotive industry, in particular, is actively integrating digital twins throughout the product life cycle, from research and development, production, sales, and services to enhance the overall customer experience. This paper presents insights and lessons learned on software practice and experience related to implementing smart mobility digital twins, focusing on the potential of transportation digital twins built from data collected by electric vehicles (EVs) with EV edge cloud and automated machine learning (AutoML). Despite current limitations in data sufficiency, we forecast that, as the SDV trend accelerates and the adoption of EVs increases, the digital twin will become essential for the intelligent transportation system (ITS) in future smart cities, enabling accurate traffic predictions even in areas with limited road infrastructure. The successful integration of real-time data, high-performance prediction models, and automated service environments will enhance the effectiveness toward an SDV edge-empowered transportation digital twin.","url":"https://doi.org/10.13052/jwe1540-9589.2385","authors":["Jonggu Kang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-08T02:30:23Z","doi":"10.13052/jwe1540-9589.2385","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.61453/joit.v2026_0210","name":"Digital Twin-Driven Sustainable Cities Using 5G - 6G Ultra-Low  Latency Networks","source":"crossref","abstract":"Rapid urbanization has placed immense pressure on city infrastructures, necessitating intelligent and sustainable solutions for efficient urban management. Digital Twin (DT) technology has emerged with powerful paradigm that enables real-time virtual representation of physical urban systems, facilitating data-driven decision-making and predictive analysis. However, the effectiveness of DT in smart cities largely depends on ultra-low latency, high reliability, and massive connectivity, which are enabled by next-generation communication technologies such as 5G and upcoming 6G networks. This paper proposes a Digital Twin-driven sustainable city framework integrated with 5G/6G ultra-low latency networks to enhance real-time monitoring, resource optimization, and urban sustainability. The proposed system leverages IoT sensors, edge computing, artificial intelligence, and high-speed wireless communication to synchronize physical and virtual city environments. Experimental evaluation demonstrates improved response time, reduced energy consumption, and enhanced service efficiency compared to traditional smart city architectures. The outcomes highlight the significant potential of Digital Twin technology combined with 5G/6G networks in achieving resilient, intelligent, and sustainable urban ecosystems.","url":"https://doi.org/10.61453/joit.v2026_0210","authors":["S. Sethupathi","S. Sadesh","K. Ganesh Kumar","G. Singaravel","Muthaiah U","Jayashree S"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T03:59:45Z","doi":"10.61453/joit.v2026_0210","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.3901/jme.260373","name":"Real-time Prediction Method for Response of Difficult-to-measure Points of Rotor System Under Variable Working Conditions Driven by Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.260373","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T06:57:12Z","doi":"10.3901/jme.260373","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/aqtr70159.2026.11577832","name":"A Physics-Based Digital Twin for a Two-Wheeled Self-Balancing Robot","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aqtr70159.2026.11577832","authors":["Tănase Eduard-Andrei","Mircea Ṣtefan Simoiu","Vasile Calofir","Sergiu Stelian Iliescu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T19:34:29Z","doi":"10.1109/aqtr70159.2026.11577832","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icaiii69475.2026.11521696","name":"Machine-Learning-Driven Operational Optimisation of Electrolyser-Based Hydrogen Production Using a Physics-Informed Digital Twin for UK Industrial Clusters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiii69475.2026.11521696","authors":["Muhammad Hamza Tariq","Irfan Ahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-22T19:34:19Z","doi":"10.1109/icaiii69475.2026.11521696","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1002/inst.70066","name":"A Systems Architecture for Data‐Constrained Environments: Leveraging the Astronaut Digital Twin to Improve Spaceflight Adaptation in Humans","source":"crossref","abstract":"ABSTRACT Spaceflight exposes humans to a uniquely harsh operating environment, producing highly individualized physiological responses that existing monitoring and countermeasure paradigms have limited struggle to predict or control. This challenge is compounded by small sample sizes, limited observability, fragmented evidence, and shifting baselines, creating a discordant epistemic environment where conventional data‐driven, mechanistic, and hybrid models' methods are not well‐suited. Resolving this gap is becoming increasingly urgent: the expanding scope, duration, and population diversity of human spaceflight missions have outpaced the predictive and personalization capability of space medicine now. This article proposes the astronaut digital twin (ADT), a biodigital twin architecture designed to help address three coupled problem classes: inference of physiological state under partial observability, reconciliation of heterogeneous evidence within a causal framework, and individualized countermeasure control under uncertainty. The ADT integrates systems physiology models, digital populations, and individualized digital twins within a Bayesian, constraint‐based architecture that continuously updates state estimates and generates uncertainty‐bounded, mechanistically interpretable recommendations. By formalizing expert knowledge into a testable human–machine co‐learning system, the ADT is intended to enable a transition in space medicine from reactive monitoring toward predictive, personalized decision support. It also serves as a structured hypothesis engine for countermeasure development across diverse physiological profiles. More broadly, the ADT is positioned to engage with open SE4AI questions centered around interpretable reasoning, predictable and diagnosable behavior, and model validity under changing deployment conditions. Although developed for astronaut health, the architecture has the potential to generalize to other high‐consequence domains characterized by sparse data, population diversity, and non‐stationary baselines, suggesting its potential as a reference framework for trustworthy AI systems in complex operational environments.","url":"https://doi.org/10.1002/inst.70066","authors":["Caleb Schmidt","Steve Simske"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T19:39:27Z","doi":"10.1002/inst.70066","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/infoteh68759.2026.11477624","name":"Digital Herd Twin as a Tool to Increase the Efficiency of Cattle Accounting in the Agricultural Sector","source":"crossref","abstract":"","url":"https://doi.org/10.1109/infoteh68759.2026.11477624","authors":["Sergei Kurashkin","Yesenia Khrapunova","Kirill Belous","Zakhar Pechenkin","Muhammad Khamraev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-21T19:47:11Z","doi":"10.1109/infoteh68759.2026.11477624","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iceaai68945.2026.11442482","name":"Digital Twin-Enabled Modeling and Operational Optimization for Power-Electronics-Rich Distribution Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceaai68945.2026.11442482","authors":["Zhiyang Liu","Baoxia Liu","Lichuan Yu","Yongxin Li","Yuanhui Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T19:47:48Z","doi":"10.1109/iceaai68945.2026.11442482","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/mdm71479.2026.00028","name":"Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mdm71479.2026.00028","authors":["Chiharu Shima","Haruki Yonekura","Fukuharu Tanaka","Tatsuya Amano","Hirozumi Yamaguchi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T18:07:04Z","doi":"10.1109/mdm71479.2026.00028","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/2575-8411.2026.00130","name":"Panorama: LLM-Guided Heuristics for Digital Twin-Empowered Vehicular Edge Computing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/2575-8411.2026.00130","authors":["Ziyao Huang","Kui Wu","Weiwei Wu","Xiangtong Qi","Jianping Wang","Jen-Ming Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-04T19:12:42Z","doi":"10.1109/2575-8411.2026.00130","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003582489-2","name":"A Multilayered Architecture of Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003582489-2","authors":["Naba Suroor"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T07:50:18Z","doi":"10.1201/9781003582489-2","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/cicn70047.2026.11594290","name":"An Adaptive Smart Parking System Using Digital Twin Simulation with Edge–Dew Collaborative Computing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cicn70047.2026.11594290","authors":["Rohan Verma","Prabh Deep Singh","Kiran Deep Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T19:37:04Z","doi":"10.1109/cicn70047.2026.11594290","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1007/s00607-026-01668-3","name":"6G-enabled digital twin-based smart warehouse for supply chain of things","source":"crossref","abstract":"Abstract Traditional warehouses face several challenges, including limited technological integration, inefficient storage management, unproductive operations, and the lack of centralized monitoring due to manual processes. The Supply Chain of Things (SCoT) integrates the Internet of Things (IoT) with smart warehouse operations to support efficient decision-making. In such environments, digital twins enable data-driven warehouse management, while 6G provides the high data rates, ultra-low latency, and reliability required for real-time coordination. In this context, this paper addresses the Storage Location Assignment Problem (SLAP), a key challenge in smart warehouse management. First, we identify the main research questions, technological challenges, and representative use cases arising in digital twin–enabled smart warehouse environments. Based on these observations, we propose a 6G-enabled digital twin-based smart warehouse architecture that enables continuous interaction between physical warehouse assets and their digital counterparts. Within this architecture, SLAP is formulated as an optimization problem and solved using a Genetic Algorithm (GA) to support efficient, real-time, and energy-aware storage decisions. We also analyze warehouse investment aspects by considering energy consumption, equipment operating time, and warehouse cost per square foot. Evaluation results show that the proposed digital twin-driven approach improves warehouse efficiency by reducing energy consumption, operational time, and battery recharging requirements, while achieving approximately 2.5× lower warehouse storage investment cost through improved space utilization. Sources available at https://github.com/yusufozcevik/DT-based-Smart-Warehouse-for-SLAP .","url":"https://doi.org/10.1007/s00607-026-01668-3","authors":["Müge Erel-Özçevik","Yusuf Özçevik","Elif Bozkaya-Aras","Tuğçe Bilen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-14T06:13:28Z","doi":"10.1007/s00607-026-01668-3","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1007/978-3-032-29842-3_30","name":"Towards a Digital Twin for Critical Care Through Explainable Digital Human Modeling of ICU Patients","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-29842-3_30","authors":["Md Sumon Ali","Mufti Mahmud"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T06:55:00Z","doi":"10.1007/978-3-032-29842-3_30","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.9734/bpi/nhstc/v12/7760","name":"Cybersecurity in the Digital Twin Era: AI-Driven Threat Intelligence, Resilience, and Trustworthy Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.9734/bpi/nhstc/v12/7760","authors":["Syed Altaf Hussain","M. Khaja Gulam Hussain"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-18T11:39:30Z","doi":"10.9734/bpi/nhstc/v12/7760","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.aei.2026.104694","name":"An aero-engine digital twin modeling method based on steady-to-transient recursive distillation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2026.104694","authors":["Ke Tang","Chuming Gao","Zilang Huang","Jialun Mao","Hong Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-18T02:53:22Z","doi":"10.1016/j.aei.2026.104694","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iccsc67078.2026.11468835","name":"Digital Twin Technology for Smart Project and Risk Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccsc67078.2026.11468835","authors":["Oluwafemi John Ajala","Ashwini L K","Maheedhar Vara Prasad Repalle","Meera K L","Revanayya","Krishnamoorthi M"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:22:02Z","doi":"10.1109/iccsc67078.2026.11468835","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/mipro70003.2026.11591932","name":"Hybrid Digital Twin and Deep Learning Framework for Monitoring Maritime Refrigerated Containers","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mipro70003.2026.11591932","authors":["M. Vukšić","J. Ćelić","T. Bronzin","B. Prole","D. Adamec","A. Stipić","D. Katović"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T19:41:48Z","doi":"10.1109/mipro70003.2026.11591932","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003610151-13","name":"Predictive Maintenance of Machine Tools Using Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003610151-13","authors":["Hurair Tariq","Ali Nasir"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-23T13:34:43Z","doi":"10.1201/9781003610151-13","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.egyr.2026.109172","name":"Distribution network planning framework based on digital twin simulation incorporating scaled electric heating loads","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.egyr.2026.109172","authors":["Liwei Zhang","Zhixiang Xu","Yaxuan Liu","Kai Li","Jun Ma","Xuelati Simayi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-12T22:13:09Z","doi":"10.1016/j.egyr.2026.109172","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1111/ejed.70526","name":"The Twin Transition in Higher Education: Bibliometric Insights Into Digital and Green Convergence","source":"crossref","abstract":"ABSTRACT This study explores the convergence of digitalisation and sustainability—referred to as the ‘twin transition’ within higher education. The present study employs bibliometric and conceptual analysis of 361 publications indexed in the Web of Science (2006–2025) in order to map research trends, conceptual clusters and collaboration networks that are instrumental in shaping the integration of green and digital transformations. The findings reveal six interconnected thematic domains centred on technology acceptance, innovation, sustainable learning and institutional transformation. The findings of the study indicate that the twin transition is driven by theories such as the Technology Acceptance Model (TAM), Task‐Technology Fit (TTF) and the Sustainable University and Living Lab frameworks, collectively underpinning a Sustainable Digital University Ecosystem. This paradigm positions digitalisation as both a catalyst and enabler of environmental responsibility through data‐driven, ethical and inclusive governance. The present study contributes to the theoretical synthesis and strategic roadmap for aligning technological innovation with sustainability goals, providing empirical evidence and policy guidance for advancing sustainable digital transformation in higher education.","url":"https://doi.org/10.1111/ejed.70526","authors":["Aydın Bulut","Sibel Oğuz Haçat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T10:43:32Z","doi":"10.1111/ejed.70526","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.cja.2026.104302","name":"A hybrid digital twin modeling method embedding component characteristics for aero-engine cross-model transfer","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cja.2026.104302","authors":["Chuming GAO","Dasheng XIAO","Hong XIAO","Zhishu ZHANG"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-17T23:36:31Z","doi":"10.1016/j.cja.2026.104302","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.engappai.2026.114899","name":"Optimized attentional transfer learning based digital twin convolutional network for breast cancer detection with mammography images","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.engappai.2026.114899","authors":["Kalyani Ghuge","D. Saravanan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-12T03:41:06Z","doi":"10.1016/j.engappai.2026.114899","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/b978-0-443-34174-8.00018-1","name":"Blockchain-based smart parking for digital-twin empowered vehicular sensing networks with privacy protection","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34174-8.00018-1","authors":["Anand Kumar Mishra","Amit Kumar Tyagi","Shrikant Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-28T20:48:41Z","doi":"10.1016/b978-0-443-34174-8.00018-1","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/impact68503.2026.11468305","name":"Design and Implementation of a Real-Time Digital Twin for Power Transformer Protection Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/impact68503.2026.11468305","authors":["P. Sivakumar","D. Lochana","V. Meenaroshini","M. Kaleeswari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-15T19:21:58Z","doi":"10.1109/impact68503.2026.11468305","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1088/1742-6596/3175/1/012147","name":"Digital twin-enabled flight test method design","source":"crossref","abstract":"Abstract Traditional flight test method design relies heavily on expert experience, suffers from limited reusability, and often lacks systematic rigor. To overcome these limitations, this paper proposes a five-layer framework for flight test method design based on digital twin (DT) technology. The framework encompasses requirement definition, data link, digital model, method design, verification, and fusion layer, thereby enabling a closed-loop process of pre-validation, execution, and feedback correction. Furthermore, a hybrid modeling strategy is introduced by combining a template-based digital aircraft model with historical flight data ingestion, and it is implemented within the Simulink environment. This approach supports six-degree-of-freedom (6DoF) dynamics, modular subsystem integration, and compatibility with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) extensions, enabling the development of a reliable digital twin. The proposed architecture and methodology provide a practical pathway for the engineering application of digital twins in flight test method design, and lay the foundation for more precise and efficient virtual verification of flight tests.","url":"https://doi.org/10.1088/1742-6596/3175/1/012147","authors":["Jinqiu Xu","Hong Li","Zhilin Liu","Beiwen Xiong","Tongjiang Huang","Bin Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-25T15:51:08Z","doi":"10.1088/1742-6596/3175/1/012147","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.4018/ijeis.413735","name":"A Digital Twin and AIGC Dual-Driven Enterprise Information System for Cultural and Creative Design Innovation in Jun Porcelain","source":"crossref","abstract":"The traditional Jun porcelain industry has long suffered from a systemic disconnect among design, craftsmanship, and market feedback, which hinders its digital and intelligent transformation. This study proposes an enterprise information system innovation framework driven by digital twin and artificial intelligence-generated content. The system constructs a multi-scale digital twin spanning the kiln, form, and glaze, enabling predictable and interactive control of the kiln transformation process. The firing success probability is embedded as a soft prompt into a low-rank adaptation-fine-tuned Stable Diffusion model, integrating creativity with process constraints. A crowdsourced evaluation and reinforcement learning mechanism enables a “perception-generation-feedback” closed loop. Field tests in Yuzhou enterprises show the system significantly enhances process transparency, design freedom, and market agility. It offers a scalable information system paradigm for the digital transformation of intangible cultural heritage enterprises.","url":"https://doi.org/10.4018/ijeis.413735","authors":["Lin Shi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-25T15:12:21Z","doi":"10.4018/ijeis.413735","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.est.2026.123820","name":"Physics-based Digital Twin framework for electric vehicle battery health prediction and energy storage lifecycle management with reverse logistics optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.est.2026.123820","authors":["Mansour Almuwallad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T09:39:54Z","doi":"10.1016/j.est.2026.123820","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1117/12.3112646","name":"Improvement of valve-side ultra-high DC voltage converter bushing equal margin design and digital-twin model system integration","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3112646","authors":["Shiling Zhang","Qiang Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-04T17:06:46Z","doi":"10.1117/12.3112646","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1016/j.est.2026.121009","name":"Adaptive control optimization framework for full-scale variable-speed pumped storage units based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.est.2026.121009","authors":["Yufei Teng","Pengyu Pan","Huabo Shi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-10T10:06:32Z","doi":"10.1016/j.est.2026.121009","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icmlas67792.2026.11483673","name":"A Scalable Digital Twin Architecture for Intelligent Cyber Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmlas67792.2026.11483673","authors":["Priyadarshini S","Chandrashekar Althati","Manish Tomar","Kartheek Reddy Jinna","Thirunavukkarasu Pichaimani","Venkatesha Prabhu Rambabu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-01T19:51:20Z","doi":"10.1109/icmlas67792.2026.11483673","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iehns68708.2026.11607210","name":"Research on the Protection and Inheritance of the Appearance Morphology of Historical Buildings Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iehns68708.2026.11607210","authors":["Tao Yang","Shuhao Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-07T19:31:53Z","doi":"10.1109/iehns68708.2026.11607210","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/iciice69672.2026.11565500","name":"Coordination-Aware Digital Twin Intelligence for Detecting Retailer-Level False Data Injection Attacks in Electricity Markets","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciice69672.2026.11565500","authors":["Muhammad Arbab Khan","Arash Asrari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-19T19:38:35Z","doi":"10.1109/iciice69672.2026.11565500","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1109/icaic67076.2026.11395731","name":"Next-Generation Digital Twin Analytics in Smart Manufacturing using Cross-Layered Edge Cloud Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaic67076.2026.11395731","authors":["Saisuman Singamsetty","Sudheer Singamsetty","S Satyanarayana","Puranam Revanth Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-23T20:46:21Z","doi":"10.1109/icaic67076.2026.11395731","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.17323/2587-814x.2026.1.41.53","name":"Enterprise performance management based on digital twin technology in the fifth-generation industry","source":"crossref","abstract":"In the context of the increasing need to improve the management efficiency of enterprises that support the implementation of the principles of digital transformation based on the concept of the fifth-generation industry, the relevance of research on the development of appropriate systems in terms of ensuring continuous targeted and sustainable development, customer-centricity and social orientation of production is increasing. Digital twin technology and its multi-agent implementation act as effective means of building enterprise performance management systems. At the same time, the lack of scientific research in this area determines the purpose of the article, which is to develop a product-resource approach to enterprise performance management based on digital twins in the fifth-generation industry. A distinctive feature of the proposed approach developed by the authors is the use of dynamic enterprise performance management technology based on digital twins, which ensures the integration of business processes and resources used at the level of not only one enterprise, but also at the level of network value chains based on a common digital platform of the business ecosystem. The paper analyzes approaches to the intellectualization of enterprise management, on the basis of which the requirements for an enterprise performance management system are formulated, ensuring the solution of interrelated tasks of targeted enterprise development, the formation of flexible value chains, and the rational and sustainable use of enterprise resources. The possibilities and disadvantages of the efficiency management process in EPC class systems are analyzed. The paper substantiates the use of digital twin technology and its multi-agent implementation to build an enterprise performance management system in the context of mass customization and the network nature of value chains in the fifth-generation industry. A process for managing the efficiency of enterprises at all stages of the life cycle based on the technology of digital twins of products and resources has been developed, dynamically ensuring the targeting, adaptability and sustainability of the functioning and development of the enterprise.","url":"https://doi.org/10.17323/2587-814x.2026.1.41.53","authors":["Yury Filippovich Telnov","Tatyana Konstantinovna Kravchenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T14:44:34Z","doi":"10.17323/2587-814x.2026.1.41.53","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.65206/pajes.1856546","name":"Techno-Economic Validation of AI-Based Energy Optimization for Smart Campuses: A Digital Twin Simulation Approach","source":"crossref","abstract":"Rising energy consumption in mid-to-large scale educational facilities and complexes with similar infrastructure necessitates intelligent management systems capable of adapting to dynamic operational conditions. This study evaluates the technical performance and economic feasibility of a proposed hybrid Artificial Intelligence-based energy optimization model for smart campuses. A digital twin of a mid-sized university campus with high user density and a 100,000 square meter indoor area (comprising administrative, laboratory, classroom, and cafeteria buildings) was developed to simulate real-time operations under distinct summer and winter scenarios. The control architecture integrates Deep Q-Networks for heating, ventilation, and air conditioning optimization, Convolutional Neural Networks for motion-based lighting control, and Multi-Layer Perceptrons for plug load management. Unlike theoretical models, this study validates performance through rigorous simulation. The results demonstrate that the proposed system achieves an average energy saving of 44.5% compared to traditional rule-based baselines, while maintaining a user comfort score of 91%. The study further recalculates economic feasibility using these simulation-verified savings. Financial analysis reveals that despite high initial capital expenditures, the system achieves a break-even point within 6 years and stabilizes at an Internal Rate of Return of 20%. These findings confirm that autonomous automation is not only technically robust but also presents a financially viable solution for sustainable campus infrastructure.","url":"https://doi.org/10.65206/pajes.1856546","authors":["Abdalhadi Manassra","Gürkan Işık"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-04T09:08:38Z","doi":"10.65206/pajes.1856546","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.3390/app16031353","name":"The Development of a BIM-Based Digital Twin Prototype of a Bridge","source":"crossref","abstract":"In the proper management of construction, the use of BIM software allows for tracking of the entire lifecycle of buildings, enabling informed design and better management of the product lifecycle, easier collaboration among professionals, and a more efficient system. The combination of BIM tools and today’s information technologies allows the advantages of the BIM methodology to be amplified and expanded. In particular, creating a 3D model with BIM software and linking it to a data stream from sensors allows us to obtain a key component for a Digital Twin of a construction. By integrating BIM methodologies and Digital Twins, this manuscript describes the development of a Digital Twin prototype of a highway bridge, with a 3D model of the structure reproduced using BIM software serving as the core of the Digital Twin. To complete the Digital Twin architecture, an ADXL345 accelerometer sensor, a DTH22 humidity and temperature sensor, an ESP32 microcontroller, the Postgres database, Python (for communication between the backend and the frontend), and the JavaScript library CesiumJS were employed. This methodology produced a Digital Twin prototype capable of collecting vibration and temperature data from the previously mentioned sensors and displaying values through a graphical interface. It can be observed how this technology represents an expansion of the capabilities of BIM software, also highlighting the maintenance potential throughout the product lifecycle. Moreover, the technologies used make the methodology scalable, allowing additional BIMs to be added or the methodology to be applied in different contexts.","url":"https://doi.org/10.3390/app16031353","authors":["Vincenzo Barrile","Emanuela Genovese","Sonia Calluso","Clemente Maesano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T08:12:23Z","doi":"10.3390/app16031353","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.3389/frsc.2026.1722165","name":"Spatiotemporal deep learning with Digital Twin support for sustainable occupancy management","source":"crossref","abstract":"Introduction The convergence of Deep Learning (DL) and Digital Twin (DT) technologies is transforming smart building management by enabling intelligent, adaptive, and energy-efficient operations. However, most existing occupancy prediction models primarily focus on predictive performance while overlooking broader sustainability considerations such as energy consumption, computational efficiency, and environmental impact. Methods To address this gap, this study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) framework for occupancy prediction in smart buildings. The model is designed to capture complex spatial and temporal patterns from multivariate building sensor data. In addition to prediction accuracy, a sustainability-aware optimisation strategy is incorporated by evaluating energy consumption, inference latency, and carbon footprint as integral performance metrics. Furthermore, the trained model is integrated within a Digital Twin environment to assess its real-time deployment feasibility and interaction with Building Management System (BMS) operations. Results Experimental evaluation using benchmark occupancy datasets demonstrates that the proposed framework achieves high predictive reliability while maintaining computational efficiency and reduced environmental impact. The Digital Twin-enabled cyber-physical validation confirms the model’s capability to operate effectively in real-time scenarios, supporting adaptive and energy-aware decision-making within smart building environments. Discussion The findings highlight the potential of integrating sustainability-aware deep learning with Digital Twin technology to advance intelligent building management beyond conventional data-centric approaches. By combining predictive intelligence, operational validation, and environmental responsibility, the proposed framework provides a scalable pathway toward resource-efficient and sustainable smart buildings, contributing directly to the United Nations Sustainable Development Goals (SDGs) on Affordable and Clean Energy, Sustainable Cities and Communities, and Climate Action.","url":"https://doi.org/10.3389/frsc.2026.1722165","authors":["Prabhu Rajaram","O. V. Gnana Swathika"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-16T15:22:37Z","doi":"10.3389/frsc.2026.1722165","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.3390/en19174048","name":"Strategic Management of Airport Readiness for Digital-Twin-Enabled Smart-Energy Systems: A Reliability-Aware Bayesian Decision Framework","source":"crossref","abstract":"Airports face growing pressure to decarbonize energy-intensive infrastructure while integrating digital twins, artificial intelligence, real-time monitoring, electrification, renewable-energy systems, and resilient operational controls. This study develops a reliability-aware Bayesian framework for assessing readiness for digital-twin-enabled smart-energy systems across 20 major international airports. The preferred latent model uses 15 airport-level capability indicators organized into four theory-defined domains: smart-energy infrastructure, digital twins and intelligent systems, managerial and organizational readiness, and governance and resilience. A sixteenth indicator, evidence transparency, is retained separately as an auxiliary reporting-quality measure. Eight additional variables describe the airport scale and country- or economy-level enabling environment. Evidence was compiled from official airport reports, sustainability disclosures, regulatory records, project documents, and international datasets, with explicit distinctions between operational systems, pilots, planned investments, and group-level claims. Observation-level reliability incorporates source quality, verification, temporal relevance, consistency, and completeness, while missing observations contribute no direct likelihood to the Bayesian measurement model. The preferred PyMC/NUTS specification produced stable posterior estimates with no divergent transitions, a maximum overall readiness R-hat of 1.003, and acceptable posterior predictive performance (RMSE = 0.094; MAE = 0.057). Singapore Changi, Hong Kong, Amsterdam Schiphol, and Copenhagen formed the highest-readiness group. Sensitivity analyses showed that the broad ordering was robust to alternative reliability assumptions, variance-floor choices, prior specifications, and high-information restrictions, although stronger informative-missingness assumptions affected several evidence-sparse airports. A complementary rule-based threshold screen identified capability shortfalls and evidence gaps without interpreting them as causal necessary conditions. The framework provides an uncertainty-aware basis for benchmarking, investment sequencing, procurement, and integrated digital and energy transition planning.","url":"https://doi.org/10.3390/en19174048","authors":["Filiz Mizrak","Umut Elbir"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T05:55:56Z","doi":"10.3390/en19174048","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.2139/ssrn.6827860","name":"A digital-twin framework for rapid field-level prediction using parametric POD-ROM and Phase-Locked transient analysis","source":"crossref","abstract":"A digital-twin framework for efficient prediction of field-level quantities in pump-turbine systems using a reduced-order modeling (ROM) approach is presented in this paper. The framework integrates a parametric POD-ROM for steady-state predictions and a phase-locked Fourier representation for transient simulations, enabling rapid reconstruction of blade-surface pressure and velocity distributions. Although pressure and velocity are used as representative examples, the framework is agnostic to specific variables and can be extended to any monitored scalar or vector quantity. The steady-state POD-ROM demonstrated high accuracy with global relative L2errors of 0.55% for pressure and 3.0% for velocity, while pointwise relative errors for pressure and velocity were below 7.6% and 19.2% at the 95th percentile, respectively. For transient simulations, the phase-locked Fourier state efficiently captures rotor-synchronous loading, with computational times on the order of milliseconds for real-time inference, offering substantial advantages over traditional CFD simulations. The proposed methodology is validated through comparisons with CFD reference data, showing high fidelity for both steady and transient predictions. This approach provides a powerful tool for real-time digital-twin applications in energy systems, facilitating predictive maintenance and operational optimization.","url":"https://doi.org/10.2139/ssrn.6827860","authors":["Bo Zhou","Zhenming Lai","Jiahong Liu","Yuyang Guo","Jia-Xing Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-25T17:41:05Z","doi":"10.2139/ssrn.6827860","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.20944/preprints202601.0854.v1","name":"Adaptive Digital Twin Identification with Control: Integration of Extended Kalman Filter-Based Recursive Sparse Nonlinear Identification with Model Predictive Control","source":"crossref","abstract":"The adoption of digital twins has revolutionized industrial process simulation, monitoring, and control effectiveness. However, practical implementations of digital twins are hindered by substantial challenges, including extended development time, diminishing model accuracy, and restricted interactive capabilities. Addressing these critical issues, this paper proposes a comprehensive digital twin development framework that integrates digital twin identification, real-time model updating, and advanced process control. The proposed approach first identifies the offline digital twin model through the sparse identification of nonlinear dynamics algorithm, reducing the digital twin development time while maintaining model fidelity. Then, the identified model is updated by the extended Kalman filter to mitigate the problem of diminishing accuracy. Finally, incorporating the latest updated model into the model predictive control facilitates the control inputs optimization and enhances the interactive capacity of digital twins. Through one industrial case study and two simulation examples, the advantages of the proposed algorithm are demonstrated.","url":"https://doi.org/10.20944/preprints202601.0854.v1","authors":["Jingyi Wang","Liang Cao","Yankai Cao","R. Bhushan Gopaluni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-13T02:16:08Z","doi":"10.20944/preprints202601.0854.v1","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.4018/979-8-3373-3947-4.ch008","name":"Harnessing Digital Twin Technology and Multiparadigm Simulation for Rural Health Transformation","source":"crossref","abstract":"This study introduces a novel packaging of the digital twin (DT) and the multifarious simulation technology into the field of the rural public health systems, especially when addressing unpredictable health emergencies. The proposed conceptual model integrates real-time DT avatars of people, communities, and healthcare infrastructure, and it will allow automatized, personalized health monitoring and efficient resource distribution. To create context responsive and context specific solutions to rural healthcare problems model integrates agent-based simulations, discrete event, and system dynamic. The chapter is arranged to include three main parts, namely, the use of DT in the focused delivery of healthcare and mass vaccination, the creation of a 6-layer rural-centric architectural framework, and the building simulation-based planning support system of disaster disease epidemic management. Collectively the components create a thriving data-driven ecosystem designed to create smart, resilient rural healthcare systems.","url":"https://doi.org/10.4018/979-8-3373-3947-4.ch008","authors":["G. Karthika","J. Anishkumar","R. Renugadevi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-03T17:02:29Z","doi":"10.4018/979-8-3373-3947-4.ch008","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.52058/2786-5274-2026-5(57)-573-582","name":"ЛОГІСТИЧНЕ УПРАВЛІННЯ МАТЕРІАЛЬНИМИ ПОТОКАМИ   НА ОСНОВІ DIGITAL TWIN ТА КОМПЛЕКСНОГО   УПРАВЛІННЯ РИЗИКАМИ","source":"crossref","abstract":"","url":"https://doi.org/10.52058/2786-5274-2026-5(57)-573-582","authors":["Людмила Волинець","Олексій Прокудін","Ілона Халацька","Яна Волинець"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T02:25:31Z","doi":"10.52058/2786-5274-2026-5(57)-573-582","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003620822-10","name":"Blockchain Technology and Digital Twin in Logistics and Supply Chain Management","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003620822-10","authors":["Amit Kumar Tyagi","Jaya Nema","Richa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-16T16:22:17Z","doi":"10.1201/9781003620822-10","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.2139/ssrn.6602379","name":"Automated pre-handover validation of BIM information requirements for digital twin readiness in WWTPs","source":"crossref","abstract":"Manual checking of BIM information requirements before asset handover remains a labor-intensive, error-prone, and weakly traceable bottleneck in BIM-enabled digital twin workflows. This study presents an automated pre-handover validation workflow for sensor information requirements in municipal wastewater treatment plants based on extended-aeration activated sludge, replacing a manual BIM information-checking task in BIM-to-AIM delivery. The method instantiates purpose-driven requirements through the Level of Information Need, compiles them into executable Information Delivery Specification (IDS) rules, and verifies completeness, controlled vocabularies, and logical consistency before asset information model (AIM) delivery. It generates two validation outputs: a human-readable Validation Report and a machine-readable IDS. In a representative run, the workflow processed 236 requirements, detected 33 inconsistencies (14.0%), and completed core validation in 109.4 ms with SHA-256 traceability. Replication across 15 additional matrices totaling 21,830 requirements confirmed replicability across heterogeneous requirement sets and supported auditable BIM-to-AIM handover for digital twin readiness in critical water infrastructure.","url":"https://doi.org/10.2139/ssrn.6602379","authors":["Christian Miguel Pacheco-Rodríguez","Mario Núñez-Fernández","Christian  Andrés Yanza-Pérez","Juan Pedro Cortés-Pérez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-18T16:36:58Z","doi":"10.2139/ssrn.6602379","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003605614-10","name":"Practical Application of Digital Twin-based Network Reliability in Sixth-Generation Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003605614-10","authors":["Babatunde S. Awoyemi","Bodhaswar TJ Maharaj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-27T19:45:22Z","doi":"10.1201/9781003605614-10","addedAt":"2026-09-01T01:47:42.458Z","updatedAt":"2026-09-01T01:47:42.458Z"},{"id":"doi:10.1201/9781003510598-8","name":"Smart Sensing and Digital Twin Technology for Yield Estimation and Phenomics Prediction in Strawberries","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003510598-8","authors":["Daeun Choi","Xu Wang","Omeed Mirbod"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-09T15:37:53Z","doi":"10.1201/9781003510598-8","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1108/jimse-04-2026-0016","name":"Genetic algorithm–optimized loss balancing in physics-informed neural networks for manufacturing digital twin applications","source":"crossref","abstract":"Purpose This study addresses a key limitation in physics-informed neural networks (PINNs), namely the reliance on manually selected or heuristically tuned loss weights governing the balance between data fidelity, physics residuals and boundary constraints. Improper weighting often leads to instability, poor reproducibility and sensitivity to user expertise, particularly in manufacturing-oriented thermal modelling and digital twin applications. Design/methodology/approach A genetic algorithm (GA)-based meta-optimization framework is proposed to automate the selection of normalized loss weights in PINNs. The GA operates as an offline optimization layer, while the inner PINN enforces the governing partial differential equations. A composite fitness function evaluates candidate weight configurations using physics consistency, data agreement and boundary-condition satisfaction. The framework is validated using a two-dimensional transient heat-conduction problem with a moving Gaussian heat source representative of laser-based manufacturing processes under noisy data conditions. Comparative analysis is performed against fixed-weight and adaptive-weight PINN strategies. Findings The proposed GA-optimized PINN achieves an approximately 39% reduction in governing-equation residual root-mean-square error (RMSE) compared with fixed-weight training while maintaining comparable prediction accuracy and stable convergence. The framework produces lower PDE residual distributions and improved robustness under noisy conditions. Compared with adaptive weighting approaches, the GA-based framework demonstrates improved global loss balancing and stronger physics consistency without degrading predictive performance. Originality/value This work introduces a global meta-optimization strategy for PINN loss balancing using a genetic algorithm, enabling systematic and interpretable selection of normalized loss weights for reliable physics-informed surrogate modelling in manufacturing digital twin applications Graphical abstract A diagram illustrating a GA-Optimized Physics-Informed Neural Network for Manufacturing Digital Twin. A diagram of a GA-Optimized Physics-Informed Neural Network for Manufacturing Digital Twin. Panel A: Physical Manufacturing Process. A laser beam heats a melt pool on a physical manufacturing asset. An infrared camera and thermocouple stream sensor data to a system for streaming data assimilation. Panel B: GA-Optimized PINN Framework. A genetic algorithm meta-optimization process involving initialization, selection, crossover, and mutation optimizes loss weights. These optimized loss weights are used in a Physics-Informed Neural Network surrogate model, which includes data loss, physics residual loss, and boundary loss components. Panel C: Digital Twin Outputs. The outputs include full-field temperature prediction, monitoring over time, anomaly detection, and control feedback.","url":"https://doi.org/10.1108/jimse-04-2026-0016","authors":["Aswin Karkadakattil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T06:32:37Z","doi":"10.1108/jimse-04-2026-0016","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/jiot.2026.3672404","name":"Digital-Twin-Empowered Cybersecurity Framework for Healthcare Vulnerability Assessment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2026.3672404","authors":["Abdullah Alqahtani","Munish Bhatia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-09T19:59:40Z","doi":"10.1109/jiot.2026.3672404","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.31893/multiscience.2026780","name":"Digital twin framework for liquidity management: Bridging the gap between theory and operations","source":"crossref","abstract":"The corporate cash management problem (CMP) constitutes a critical operational challenge focused on determining the optimal sequence of transactions between liquid cash holdings and alternative investment assets. The primary objective is to maintain sufficient liquidity to meet obligations while simultaneously minimizing the aggregate costs associated with idle capital and transaction execution. Despite profound theoretical advancements since the foundational inventory-based models of the 1950s, contemporary literature exhibits persistent methodological and practical deficiencies. A comprehensive multidimensional review by Salas-Molina et al. (2023) identified six critical open research questions that currently limit the applicability of CMP models: the overreliance on rigid bound-based heuristics, the unrealistic assumption of Gaussian cash flow processes, the limitation to linear cost functions, the narrow focus on single-objective cost minimization, the lack of robust solvers for high-dimensional spaces, and the systemic omission of multiple bank account networks. Concurrently, within the domain of business informatics, the emergence of digital twins, integrating simulation modeling and machine learning, has proven highly effective in mitigating financial disruptions. This research report proposes a novel Hybrid Multi-Account Cash Management Digital Twin (HMAC-DT). The HMAC-DT provides a strict mathematical formalization addressing nonlinear costs, multiobjective risk criteria, and complex multi-account dynamics. The framework proposed transitions from abstract mathematical heuristics to direct policy identification. Specifically, the algorithmic architecture utilizes Particle Swarm Optimization (PSO) to explore high-dimensional continuous action spaces and a Classification and Regression Tree (CART) algorithm to extract transparent IF-THEN operational rules. Simulation experiments demonstrate that the HMAC-DT significantly outperforms traditional models, reducing treasury costs while enhancing operational stability. Evaluated over a simulated horizon of 1,000 discrete days across three interconnected accounts, the digital twin reduced total treasury costs by 34% and mitigated variance risk by 42%. Additionally, the orchestration of cash flows resulted in a 26% improvement in the cash conversion cycle (CCC) metric. Furthermore, profound managerial implications are synthesized into a redefined, DT-driven treasury business process, transforming cash management from a reactive administrative task into a proactive system.","url":"https://doi.org/10.31893/multiscience.2026780","authors":["Georgii Zanko","Varvara Nazarova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T21:51:41Z","doi":"10.31893/multiscience.2026780","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.6901099","name":"Digital Twin Development for the identification of the equivalent excitation force distribution on a wing","source":"crossref","abstract":"Accurate identification of external force on aircraft structures is critical for safety assessment, condition monitoring, and the development of predictive maintenance strategies. This paper proposes a Digital Twin (DT) based framework for structural load identification, integrating both data driven and model-based strategies. The framework enables reconstruction of force spectra and accurate localization of load application, even in scenarios involving multiple simultaneous loads at different positions. Comparative analyses reveal that the use of only one third of the most significant primary coordinates provides reasonably accurate reconstructions, though within a narrower frequency band compared to employing the full coordinate set. The approach was validated through both numerical simulations and experimental studies, demonstrating its feasibility and reliability for real world applications. In particular, a hybrid strategy that combines computationally derived frequency response function (FRF) matrices with experimentally measured acceleration responses was shown to maintain high reconstruction accuracy while substantially reducing experimental requirements. These findings highlight the DT based approach as a practical and scalable solution for structural load identification tasks.","url":"https://doi.org/10.2139/ssrn.6901099","authors":["Amin  Ebrahim Salehzadeh Nobari","Yuhang Pan","Zahra  Sharif Khodaei","Ali Salehzadeh Nobari","M.H. Aliabadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-08T19:48:51Z","doi":"10.2139/ssrn.6901099","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.6834113","name":"LEAPS: Language- and Event-Driven Task Planning for Humanoid Mobile Robots via Digital Twin-Enhanced Semantic Map","source":"crossref","abstract":"Humanoid mobile robots deployed in shopfloor and factory environments are increasingly expected to operate and work in an integrated way with other manufacturing equipment and human workers, responding not only to explicit operator instructions but also to real-time events generated by manufacturing execution systems. Despite substantial research efforts, two challenges remain unresolved. First, existing mobile robot task planning methods lack semantic knowledge specific to real manufacturing environments, resulting in non-ideal automation performance. Second, most existing mobile robot task planning methods are incapable of real-time response to system event triggers.This paper proposes LEAPS (Language- and Event-driven Task Planning via digital twin-enhanced Semantic Map), a unified framework for humanoid mobile robot task planning in real shopfloor environments. The framework employs a digital twin model with regional semantic information to inject real-world manufacturing knowledge into a conventional geometric map, resulting in a semantic map enriched with manufacturing knowledge. A large language model (LLM) is then used to jointly process human language command inputs and real-time system status and events, enabling real-time task planning grounded in domain knowledge. Experimental results on an evaluation dataset and real-world case studies demonstrate the effectiveness of LEAPS.","url":"https://doi.org/10.2139/ssrn.6834113","authors":["Tianyu Sheng","Zhihao Liu","Wajid  Ali Khilji","Xi  Vincent Wang","Lihui Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T20:49:21Z","doi":"10.2139/ssrn.6834113","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.29328/journal.jpsp.1001167","name":"Analytical Report on Digital Twin Technology: Status and Future Direction","source":"crossref","abstract":"Digital twin (DT), a dynamic virtual representation of a physical entity synchronized through real-time data, is at a critical juncture in its evolution. This paper provides a comprehensive analysis of the current market position and future trajectory of DT, framed within the framework of Gartner’s Hype Cycle methodology. Our research definitively places the technology in “disappointment landing,” a stage marked by the fading of initial hype and the growing recognition of significant barriers to implementation, including data integration complexities, high costs, and a shortage of skilled talent. Despite these challenges, this analysis identifies a clear path to maturity and predicts progress through an “enlightenment slope” driven by standardization, AI integration, and the emergence of federated models. We predict that DTs will reach a “productivity plateau” for specific, asset-intensive industries within 5 to 7 years. Ultimately, this paper argues that the successful adoption of this technology and its long-term value depend less on its technical capabilities and more on key organizational factors: a clear and defined strategic vision, a strong data infrastructure, and the fostering of a collaborative and data-driven culture. The findings provide a strategic roadmap for practitioners and policymakers navigating the evolving landscape of digital transformation.","url":"https://doi.org/10.29328/journal.jpsp.1001167","authors":["Yousof Gholipour","Amin Mostafaee","Yasser Gholipour"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T11:52:32Z","doi":"10.29328/journal.jpsp.1001167","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.23960/jitet.v14i3.10380","name":"SYSTEMATIC LITERATURE REVIEW: DIGITAL TWIN TECHNOLOGY ARSITEKTUR, TANTANGAN, DAN ARAH PENELITIAN MASA DEPAN","source":"crossref","abstract":"Teknologi Digital Twin (DT) mengalami pertumbuhan eksponensial sejak diperkenalkan oleh Grieves pada tahun 2002, namun fragmentasi dalam definisi, taksonomi arsitektur, dan metrik evaluasi antar domain aplikasi masih menjadi hambatan utama bagi adopsi yang terstandar. Penelitian ini melaksanakan Systematic Literature Review (SLR) menggunakan protokol PRISMA terhadap 47 artikel yang dipublikasikan pada basis data Scopus, Web of Science, dan IEEE Xplore dalam rentang 2020–2025, guna memetakan lanskap penelitian DT secara komprehensif. Tinjauan ini mengidentifikasi empat klaster utama penelitian DT: (1) arsitektur dan infrastruktur platform DT berbasis cloud-edge continuum, (2) integrasi kecerdasan buatan dan machine learning untuk kemampuan prediktif, (3) penerapan DT pada sektor konstruksi, manufaktur, dan kesehatan, serta (4) tantangan interoperabilitas, keamanan data, dan skalabilitas. Temuan kritis penelitian ini mengungkap bahwa 73% studi yang ditinjau tidak memiliki kerangka evaluasi performa DT yang terstandar, dan terdapat kesenjangan signifikan antara maturitas teknis platform DT dengan kesiapan adopsi pada usaha kecil dan menengah (UKM). Novelty penelitian ini terletak pada penyusunan taksonomi DT terpadu berbasis lima dimensi (fisik, virtual, koneksi, data, dan layanan), pengklasifikasian gap penelitian yang belum tertangani, serta usulan agenda riset prioritas untuk pengembangan DT di era Industry 5.0.","url":"https://doi.org/10.23960/jitet.v14i3.10380","authors":["Ade Hendini","Sri Murni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-13T21:38:20Z","doi":"10.23960/jitet.v14i3.10380","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/sr.2026.3729195","name":"Digital Twin-Enabled Remote Operation of Autonomous Systems: An Architecture-Driven Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sr.2026.3729195","authors":["Shahriar Hasan","Md Sadman Hafiz","Ashrafur Rahman Chowdhury"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-31T19:09:56Z","doi":"10.1109/sr.2026.3729195","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/s12597-026-01221-y","name":"Optimized reinforcement learning-based deep q network for efficient device selection in IIoT systems with digital twin integration","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12597-026-01221-y","authors":["D. Francina Sophiya","V. Raja"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-20T04:48:48Z","doi":"10.1007/s12597-026-01221-y","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.54254/2755-2721/2026.33190","name":"Research on Collaborative Management of Construction Schedule and Risk Assessment Integrating BIM and Digital Twin","source":"crossref","abstract":"With the continuous expansion of engineering construction scale and the increasing complexity of construction environments, traditional construction management models have gradually revealed problems such as information lag, slow response and low collaboration efficiency in schedule control and risk assessment. Building Information Modeling (BIM) technology integrates and visually represents engineering information through three-dimensional models and plays an important role in construction organization and schedule simulation. However, BIM models usually rely on static data and cannot dynamically reflect real-time site conditions, making it difficult to meet the needs of real-time management and risk prediction in complex projects. Digital twin technology establishes real-time mapping between physical entities and virtual models, and combined with the Internet of Things, cloud computing and big data analytics, enables dynamic perception and predictive analysis of engineering states, providing a new technical approach for the collaborative management of construction schedule and risk. Taking deep foundation pit construction as a typical engineering node, this paper uses literature analysis and theoretical research to discuss the application mechanism of integrating BIM and digital twin in schedule and risk collaborative management, focuses on their roles in real-time data collection, multi-party collaborative decision-making and risk early warning, and proposes a data-driven collaborative management framework. Research shows that digital twin can effectively make up for BIM’s deficiencies in dynamic updating and prediction, realize the linkage management of construction schedule and risk assessment, and improve engineering safety and management efficiency, though there are still shortcomings in data standards, cost input and technological maturity.","url":"https://doi.org/10.54254/2755-2721/2026.33190","authors":["Zhaoyi Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-06T07:14:35Z","doi":"10.54254/2755-2721/2026.33190","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1117/12.3114225","name":"Applications and challenges of digital twin technology in smart manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3114225","authors":["Liqiong Li","Qiuping Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-24T08:59:08Z","doi":"10.1117/12.3114225","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.18535/ijsrm/v14i05.em05","name":"Geopolitical Risk Simulation Using AI-Powered Digital Twin Systems in Global Logistics: A Critical Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.18535/ijsrm/v14i05.em05","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T19:19:36Z","doi":"10.18535/ijsrm/v14i05.em05","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.56975/jaafr.v4i5.509399","name":"Digital Twin Technology in the Era of Industry 4.0: Architecture, Applications, Challenges, and Future Directions","source":"crossref","abstract":"","url":"https://doi.org/10.56975/jaafr.v4i5.509399","authors":["Pritika Mehra","Sumit Chhabra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-11T12:25:18Z","doi":"10.56975/jaafr.v4i5.509399","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.36094/sc.v92.2026.self_adapting_reward_based_reinforcement_learning.das.296","name":"SELF-ADAPTING REWARD-BASED REINFORCEMENT LEARNING FOR OPTIMIZING TRAFFIC SIGNALS WITH AN SUMO-BASED DIGITAL TWIN IN SMART CITY TRAFFIC CONTROL","source":"crossref","abstract":"","url":"https://doi.org/10.36094/sc.v92.2026.self_adapting_reward_based_reinforcement_learning.das.296","authors":["NILANJAN DAS"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T06:34:31Z","doi":"10.36094/sc.v92.2026.self_adapting_reward_based_reinforcement_learning.das.296","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/engproc2026134019","name":"Digital Twin and IoT Integration for Predictive Maintenance in Civil and Structural Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2026134019","authors":["Wai Yie Leong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T08:09:51Z","doi":"10.3390/engproc2026134019","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1201/9781003714774-18","name":"A Cognitive Digital Twin Framework for Resilient Water Infrastructure under Climate Change","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003714774-18","authors":["Heba Abdul-Jaleel Al-Asady"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-05T16:12:42Z","doi":"10.1201/9781003714774-18","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1049/icp.2026.0532","name":"Analysis of innovation and development trends in the digital twin field based on SCI papers and Inspec papers","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.0532","authors":["Lihua Zhai","Zhenglu Yu","Jiping Gao","Daiqing Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T11:07:20Z","doi":"10.1049/icp.2026.0532","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/pr14121864","name":"Real-Time Self-Learning Digital Twin for Lithium-Ion Battery Energy Storage Systems in Smart Grids","source":"crossref","abstract":"In this paper, we propose a self-learning digital twin (SLDT) architecture that incorporates real-time battery degradation modeling and optimum operational management for grid-scale lithium-ion battery energy storage systems (BESS). This work extends the Adaptive Real-Time Degradation Model (ARDM) framework to allow real-time updates of the parameters based only on live operational data without pre-cycling experiments and further improves its robustness under various depth-of-discharge (DoD), charging/discharging current (C-rate), and temperature conditions. The ARDM is incorporated in a real-time digital twin that maintains synchronized health, state of charge (SoC), and degradation cost predictions. The digital twin is linked to an Optimization and Control Layer (OCL), which plans the charge/discharge day-ahead in advance based on dynamic power rates. The Musical Chairs Algorithm (MCA) is used for parameter identification and scheduling due to its better convergence characteristics compared to swarm-reduction forms of benchmark optimization algorithms. Experimental validation is carried out on two commercial 48 V Li-ion modules with various cycling patterns, and sub-millipercent root-mean-square error (RMSE) is achieved in capacity-fade tracking. The economic analysis for a 5-MW/10-MWh system indicates that dynamic tariff scheduling results in about nine times greater arbitrage revenue compared to fixed rates, 41–58% higher yearly net income, and lower degradation costs. The results confirm that the SLDT is a practical and accurate platform for degradation-aware operational planning in modern smart-grid environments.","url":"https://doi.org/10.3390/pr14121864","authors":["Ali M. Eltamaly","Zeyad Almutairi","Saleh H. Al-Senaidi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T00:58:12Z","doi":"10.3390/pr14121864","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.54613/ku.v17i.1363","name":"RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION","source":"crossref","abstract":"This study presents the research, design, and development of an Intelligent Customer Relationship Management (CRM) platform enhanced with a Digital Twin to support operational simulation and optimization within foodservice enterprises. The system integrates dynamic analytics, workflow monitoring, and data-driven decision support while the Digital Twin replicates operational workflows using agent-based and discrete-event simulation. Evaluation results demonstrate improved throughput, reduced waiting times, and enhanced predictive accuracy across foodservice operations.","url":"https://doi.org/10.54613/ku.v17i.1363","authors":["Umarxon Umarov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-15T16:07:04Z","doi":"10.54613/ku.v17i.1363","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/jiot.2025.3645264","name":"Digital Twin-Empowered Comprehensive Framework for Chikungunya Outspread Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2025.3645264","authors":["Prabhjot Kaur","Jagdeep Kaur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T18:48:06Z","doi":"10.1109/jiot.2025.3645264","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.58257/ijprems54436","name":"DIGITAL-TWIN-EMBEDDED DEEP REINFORCEMENT LEARNING FOR ADAPTIVE SCHEDULING AND REPLANNING IN SMART MANUFACTURING UNDER COMPOUND DISTURBANCE","source":"crossref","abstract":"","url":"https://doi.org/10.58257/ijprems54436","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-31T10:43:02Z","doi":"10.58257/ijprems54436","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/s44163-026-00916-x","name":"The role and applications of airport digital twin in cyberattack protection during the generative AI era","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44163-026-00916-x","authors":["Abraham Itzhak Weinberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T03:17:29Z","doi":"10.1007/s44163-026-00916-x","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.6751780","name":"Data-Driven and Distributed Governance of Building Facilities Management using Decentralized Autonomous Organization, Digital Twin, and Large Language Models","source":"crossref","abstract":"While traditional AI and data-driven facilities management approaches have improved building operational efficiency, they remain constrained by centralized organizational structures which are vulnerable to cyber-attacks, limited contextual understanding, and decision-making structures that exclude key stakeholders from the governance process. This paper introduces a novel AI and data-driven distributed governance framework for smart building management that integrates decentralized autonomous organizations (DAOs), digital twins, large language models (LLMs), and blockchain technology. This framework aims to enable transparent collective decision-making through a DAO governance platform, implements data-driven management using IoT and digital twins, incorporates LLM-based virtual assistants for enhanced decision support, and utilizes blockchain for secure building automation. A full-stack decentralized application is developed to facilitate user interaction with these integrated components. The system was evaluated for cost-efficiency, scalability, data security, and usability using the System Usability Scale (SUS). Expert interviews were also conducted to evaluate its practical benefits and challenges.","url":"https://doi.org/10.2139/ssrn.6751780","authors":["Reachsak Ly","Alireza Shojaei","Xinghua Gao","Philip Agee","Abiola Akanmu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-18T09:29:51Z","doi":"10.2139/ssrn.6751780","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/buildings16122326","name":"Construction of a Virtual Sensor-Driven Digital Twin System for Plant Growth Monitoring on Rooftop Farms","source":"crossref","abstract":"Rooftop farms are urban green infrastructure integrating food production, ecological regulation, and public services, and their management increasingly relies on data-driven approaches. However, open built environments, microclimatic heterogeneity, and limited sensor deployment challenge continuous monitoring and short-term prediction of rooftop plant growth. This study proposes and validates a virtual sensor-driven digital twin system using a rooftop tomato case in Xiamen, China. The system adopts a five-layer architecture comprising data acquisition, transmission, modeling, processing, and application service layers. By coupling a Long Short-Term Memory (LSTM) weather prediction model with the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth model, a predictive virtual sensor module was developed to forecast leaf area index (LAI), aboveground biomass, phenology, and yield for seven days. Results show that the system links environmental data acquisition, LSTM–DSSAT prediction, database storage, and three-dimensional visualization, transforming rooftop plant growth into an updatable, predictable, and visualized digital twin object. The coupled model showed high predictive accuracy, with R2 values of 0.9814 for LAI and 0.9966 for aboveground biomass, while supporting phenology and yield prediction. The system supports irrigation optimization, landscape management, and activity planning in sensor-constrained rooftop farms.","url":"https://doi.org/10.3390/buildings16122326","authors":["Shaojin Zheng","Heng Zhang","Li Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-11T00:48:35Z","doi":"10.3390/buildings16122326","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/su18136717","name":"A Lightweight Replicable Local Digital Twin Workflow for Small Cities Using Open Data and Web-Based 3D Visualization","source":"crossref","abstract":"Small municipalities often lack the resources and infrastructure necessary to implement advanced digital twin solutions commonly adopted in larger cities or industries. This study addresses the challenge of designing a replicable and interoperable local digital twin architecture specifically suited for low-infrastructure environments. A gap in the current literature and practice is identified: most digital twin implementations are domain-specific, resource-intensive, or proprietary, which limits their applicability in low-infrastructure contexts such as small rural areas. To address this issue, a requirement-driven architecture based on open standards and minimal-footprint, edge-based technologies is proposed. The approach is validated through real-world implementation in Codogno, Italy, with subsequent replication in Varna, Bulgaria, and Lausanne, Switzerland. The findings indicate that the proposed architecture can be deployed with minimal local infrastructure while maintaining interoperability with existing systems and enabling scalability to larger contexts. Interoperability is achieved through standardized data models and APIs, while replicability is ensured by a modular design utilizing open-source components. These contributions offer a practical blueprint for small municipalities to develop local digital twins, thereby supporting digital transformation at the community level.","url":"https://doi.org/10.3390/su18136717","authors":["Martina Ivanova","Alberto Celani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T15:52:24Z","doi":"10.3390/su18136717","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.54941/ahfe1007882","name":"A Taxonomy of Digital Twin Applications for Road Infrastructure Safety: A Human-Factors Perspective","source":"crossref","abstract":"Road transport systems are vital socio-technical infrastructures but still account for a large share of fatal and serious injuries worldwide. While vehicle technology and traffic management have improved safety on major roads, urban and secondary roads remain challenging owing to varied infrastructure conditions, mixed traffic, and reliance on human judgment. Improving safety in these areas requires approaches that focus on the interactions between humans, systems, and infrastructure. Digital twins (DTs), recognised as dynamic digital models of physical assets, processes, and conditions, are increasingly used for predictive modelling, simulation, and human-centred decision support in transportation. By integrating diverse data, representing evolving risks, and simulating behavioural responses, DTs offer new pathways to reduce human error, aid decision-making, and improve road asset and safety management. However, the variety of DT architectures, functions, and data capabilities creates challenges for their systematic adoption, evaluation, and human-centred design. This study introduces a taxonomy of digital twin applications for urban and rural road asset and safety management from a human factors perspective, developed within the CAMBER project. The taxonomy organizes DT systems according to four dimensions: functional scope, application scale, architectural layers, and integration level. These dimensions describe how DTs support asset and safety management, assess how road conditions affect advanced driver-assistance systems, scale from individual components to system and process levels, and mediate interactions among human decision-makers, infrastructure, and digital services. Developed through a qualitative, problem-driven design, the taxonomy is based on a structured review of recent literature, analysis of CAMBER pilot requirements and evaluation framework. Through examples and discussion of adoption challenges, this study demonstrates how the taxonomy can guide human-centred design, comparison, and scaling of DT-enabled safety applications on urban and secondary roads.","url":"https://doi.org/10.54941/ahfe1007882","authors":["Katia Pagle","Anna Antonakopoulou","Angelos Amditis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-04T15:01:20Z","doi":"10.54941/ahfe1007882","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.33022/ijcs.v15i2.5110","name":"A Digital Twin–Driven Machine Learning Framework for Diabetes Risk Prediction and Short-Term Health Trajectory Simulation","source":"crossref","abstract":"Diabetes remains a major global health challenge, requiring early risk detection and proactive management to reduce long-term complications. However, existing approaches are predominantly reactive and rely on static clinical indicators, limiting their ability to support personalized and forward-looking care. This study proposes an integrated framework that combines machine learning (ML) and digital twin (DT) technologies to enable both diabetes risk prediction and short-term health trajectory simulation. Using the CDC Diabetes Health Indicators dataset, a structured CRISP-DM methodology was applied to guide data preprocessing, feature selection, model development, and evaluation. Class imbalance (13.9% minority class) was addressed using the Synthetic Minority Over-sampling Technique (SMOTE). Five machine learning models were evaluated, with Gradient Boosting achieving the best performance (ROC-AUC = 0.797; F1-score = 0.415), indicating acceptable discriminative capability under imbalanced conditions. Building on this predictive layer, a digital twin framework was developed to simulate individual risk trajectories over a 90-day period. The system was operationalized through a web-based architecture that integrates prediction, simulation, and visualization into a unified interface. The results indicate that combining machine learning with digital twin modelling links point-in-time risk estimation with short-term trajectory exploration. While the simulation is based on model-driven assumptions rather than real-time physiological data, it provides an additional analytical layer that supports anticipatory decision-making. This study contributes a scalable, modular framework that bridges predictive analytics and simulation, offering a practical step towards more proactive, data-driven approaches in digital health.","url":"https://doi.org/10.33022/ijcs.v15i2.5110","authors":["Belinda Ndlovu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T04:50:33Z","doi":"10.33022/ijcs.v15i2.5110","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.31127/tuje.1811939","name":"Urban Silhouette Analysis in Historical Peninsula Süleymaniye District Using Digital Twin Technology","source":"crossref","abstract":"The increasing urban population, intensified urbanization, and environmental changes necessitate innovative, technology-driven approaches to achieving sustainable development and enhancing urban livability. Geographic Information Systems (GIS)- supported digital twin technologies have emerged as transformative tools in urban planning, management, and cultural heritage preservation. By replicating the physical environment, digital twins support advanced analysis and simulation processes, particularly in documenting and safeguarding historical and cultural assets. This study investigates the application of GIS-supported digital twins to preserve the historical silhouette of the Süleymaniye District on Istanbul’s Historical Peninsula, a region of significant cultural heritage. A high-resolution 3D mesh model of the area was developed, integrating GIS data on building heights, topography, and spatial density to assess the current silhouette against legal height restrictions and urban planning principles outlined in the Prost Plan. The study identifies structures that obstruct the iconic silhouette of the Süleymaniye Mosque and evaluates the potential of digital twins to simulate urban scenarios, guide restoration efforts, and inform sustainable planning strategies. This research examines the impact of existing and proposed building heights on the skyline through comparative analyses, providing insights into the visual impact of planning decisions in historical and cultural heritage areas. Using digital twin technology and GIS tools, the existing building height model for the Süleymaniye District is compared with the optimal height limits defined in existing zoning plans. This study analyzes the areas where incompatible developments, illegal additions, unpermitted uses, and structures are concentrated, and demonstrates how these areas, due to their location within the Süleymaniye District, negatively impact Istanbul's historic skyline. Furthermore, the methods used in this study offer insights to assist urban planners and decision-makers in overcoming urban and administrative challenges. The findings demonstrate the critical role of digital twins in preserving urban identity and cultural memory while addressing modern planning challenges. This research highlights the potential of integrating digital twin technologies into urban planning and heritage management, providing a robust framework for future applications.","url":"https://doi.org/10.31127/tuje.1811939","authors":["Sevenay Uzun Altuntaş","Hatice Atalay","Adalet Dervisoglu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-30T21:31:35Z","doi":"10.31127/tuje.1811939","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.7716/aem.v15i3.3348","name":"Construction of a “School-Village-Enterprise” Collaborative Talent Cultivation Platform for Rural Areas Based on Digital Twin Technology","source":"crossref","abstract":"Talent revitalization is fundamental to sustainable rural development, yet current rural talent cultivation is constrained by fragmented educational resources, weak collaborative mechanisms, and insufficient alignment between training outcomes and practical industrial demands. As digital twin systems increasingly depend on electromagnetic information transmission, wireless sensing networks, and intelligent communication infrastructures for real-time data acquisition and virtual–physical interaction, establishing an integrated collaborative platform has become essential for precision-oriented talent development. This study proposes a “School-Village-Enterprise” collaborative talent cultivation platform driven by digital twin technology. By constructing a geospatial and socio-economic digital mirror of rural environments and integrating Internet of Things technologies, big data analytics, intelligent simulation, and multimodal data fusion, the platform enables coordinated interaction among the education chain, talent chain, industrial chain, and innovation chain. A four-layer architecture consisting of data perception, model construction, service application, and interaction interface is developed, together with a personalized learning path recommendation algorithm and dynamic digital twin updating mechanism. Practical validation demonstrates that the proposed platform improves the alignment between training content and actual rural demands from 32.7% to 73.5%, significantly enhancing collaborative cultivation efficiency while supporting adaptive decision-making in complex rural scenarios. By combining digital twin technology with electromagnetic-enabled communication infrastructures, the proposed framework provides an operational pathway for intelligent rural talent development and offers valuable references for distributed education systems and smart industrial training environments.","url":"https://doi.org/10.7716/aem.v15i3.3348","authors":["L. J. Long"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T04:27:27Z","doi":"10.7716/aem.v15i3.3348","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.60097/acig/221493","name":"A Cybersecurity Digital Twin Architecture for Modelling Threats in Interconnected Systems","source":"crossref","abstract":"The growing digitalisation of industrial and business processes is creating large deployments where Information Technology (IT) and Operational Technology (OT) are tightly interconnected and interdependent. While cybersecurity risks for IT are mostly related to data breaches and service unavailability, OT is far more critical, since it handles physical equipment. In fact, intrusions into cloud infrastructure may directly or indirectly affect critical processes for autonomous driving or energy operations, with high-impact consequences for people’s lives. Additionally, the prevailing interconnection between providers across business and technological value chains creates further tight, recursive inter-domain security dependencies, which are challenging to address due to the fragmentation of cybersecurity operations. Secure and reliable operation of the whole chain requires each provider to improve the security posture of its suppliers. However, the current practice primarily relies on human intervention to disclose vulnerabilities, raise alerts, and suggest remediations, which has been proven to be largely ineffective and risky. In this position paper, we discuss how digital twins can help address the security implications of large, multi-ownership, interconnected systems. We start from the concept of cybersecurity digital twin, a live threat model that combines digital assets and cyber threats, and then extend the scope to hybrid digital inter-twins, which brings physical devices into the abstraction. While the former can be used for threat hunting, lateral movement detection, and attack eradication, the latter also models cascading effects and hazards in critical infrastructure. We discuss the two models for two use cases, namely Smart City and Smart Grid.","url":"https://doi.org/10.60097/acig/221493","authors":["Matteo Repetto","Daniele Canavese"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-11T06:26:24Z","doi":"10.60097/acig/221493","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.36227/techrxiv.177091899.90759407/v1","name":"Digital-Twin-Aided Dynamic Spectrum Sharing and Resource Management in Integrated Satellite-Terrestrial Networks","source":"crossref","abstract":"The explosive growth in wireless service demand has prompted the evolution of integrated satellite-terrestrial networks (ISTNs) to overcome the limitations of traditional terrestrial networks (TNs) in terms of coverage, spectrum efficiency, and deployment cost. Particularly, leveraging LEO satellites and dynamic spectrum sharing (DSS), ISTNs offer promising solutions but face significant challenges due to diverse terrestrial environments, user and satellite mobility, and long propagation LEO-to-ground distance. To address these challenges, digitialtwin (DT) has emerged as a promising technology to offer virtual replicas of real-world systems, facilitating prediction for resource management. In this work, we study a time-window-based DTaided DSS framework for ISTNs, enabling joint long-term and short-term resource decisions to reduce system congestion. Based on that, two optimization problems are formulated, which aim to optimize resource management using DT information and to refine obtained solutions with actual real-time information, respectively. To efficiently solve these problems, we proposed algorithms using compressed-sensing-based and successive convex approximation techniques. Simulation results using actual traffic data and the London 3D map demonstrate the superiority in terms of congestion minimization of our proposed algorithms compared to benchmarks. Additionally, it shows the adaptation ability and practical feasibility of our proposed solutions.","url":"https://doi.org/10.36227/techrxiv.177091899.90759407/v1","authors":["Hung Nguyen-Kha","Vu Nguyen Ha","Ti Nguyen","Eva lagunas","Joel Grotz","Symeon Chatzinotas","Bjorn Ottersten"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T17:56:37Z","doi":"10.36227/techrxiv.177091899.90759407/v1","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.7307320","name":"Structural behaviour of high-rise PPVC composite modular buildings under extreme CFD-derived wind scenarios through digital twin modelling","source":"crossref","abstract":"Extreme wind loading remains a critical design concern for high-rise prefabricated prefinished volumetric construction (PPVC) buildings. The main contribution of this study is the development of a PPVC specific pressure to response workflow. This workflow transfers large eddy simulation based computational fluid dynamics (LES-CFD) pressure fields into nonlinear finite-element (FE) analysis. It enables the wind-induced response to be traced from external aerodynamic flow to roof displacement, inter-storey drift, stress development, and modular connection-level demand. This study analyses the wind-induced behaviour of a 40-storey high-rise PPVC composite modular building under six wind categories. LES-CFD was used to simulate the wind field and surface pressure distribution around the building. The CFD pressure fields were then mapped onto a nonlinear FE model. The FE model was used to assess roof displacement, inter-storey drift, stress distribution, and the response of inter-module, intra-module, and corner connections. The CFD results showed a clear stagnation separation flow pattern. This produced strong windward compression, roof-level suction, and leeward recirculation. The FE results showed a cantilever-dominated lateral response. Roof displacement increased from 5.1 mm under normal wind loading to 309.2 mm under Category 4 loading. The peak global stress increased from 2.8 MPa to 169.0 MPa. At the connection level, the inter-module connection developed the highest shear resistance of 8879.5 kN. The intra-module connection showed stable deformation and rotational response. The corner connection showed the post-peak softening behaviour. The proposed workflow provides a PPVC-specific method for linking wind pressure, global deformation, and modular connection demand in high-rise modular buildings","url":"https://doi.org/10.2139/ssrn.7307320","authors":["Mohamed Elsayed","Azrul  A. Mutalib","Khaled ELsayed","S.  A. Osman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T15:42:25Z","doi":"10.2139/ssrn.7307320","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.6504427","name":"Development of a real-time thermodynamic model for digital twin of large-bore marine medium-speed diesel-methanol dual-fuel engines","source":"crossref","abstract":"Amid ship digital transformation and emergent energy transition, dual-fuel (DF) engines have become a key research focus, with the development of their digital twin models posing a notable challenge. Existing DF engine control models lack predictability, while quasi-dimensional models suffer from slow computation, creating a bottleneck in balancing accuracy and real-time performance. This study develops a dual-fuel rapid predictive model (DF-RPM) for DF engine performance analysis based on physical modeling, achieved by reasonably simplifying in-cylinder processes and computations. DF-RPM uses variable-step computation to discretize points, allocate phase-specific step sizes according to accuracy and stability and adopt explicit equations to reduce errors and boost speed. Simplified submodels are adopted to ensure efficiency while maintaining interpretability, including a methanol intake model, a polytropic index calculation method for compression and expansion processes, a single-step three-phase combustion chemical reaction model with combustion rate inheritance, and a model for methanol entrainment and premixed combustion. DF-RPM was validated against experimental results of a 6L320 marine medium-speed diesel-methanol dual-fuel engine under 100\\%, 75\\%, 50\\%, and 25\\% load conditions. The results show that both calibration and prediction errors for pressure indicators are less than 3\\%, while errors for CA10 and CA50 are both less than 2$^{\\circ}$CA. The cycle computation time is within 0.3 ms. The model fully meets the accuracy, predictive capability, and real-time requirements for digital twin applications.","url":"https://doi.org/10.2139/ssrn.6504427","authors":["Zhaoqiu Wang","Teng Liu","Shuai Huang","Tie Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T07:44:43Z","doi":"10.2139/ssrn.6504427","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/mcom.001.2600354","name":"Living Digital Twin Networks: A Bio-Inspired Roadmap Toward Self-Evolving 6G Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcom.001.2600354","authors":["Ian F. Akyildiz","Tugce Bilen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-06T19:04:22Z","doi":"10.1109/mcom.001.2600354","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/978-3-032-24045-3_59","name":"Human Digital Twin for Seafarers: A Business Model Canvas Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-24045-3_59","authors":["Nicoleta Acomi","Elena-Gratiela Robe-Voinea","Eliza Maria Popa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T01:04:32Z","doi":"10.1007/978-3-032-24045-3_59","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1061/9780784486795.008","name":"Investigating Factors Influencing Digital Twin-Enabled Smart Water Conservancy under the TOE Framework: A Fuzzy-DEMATEL-ISM Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486795.008","authors":["Qian Yang","Jie Jin","Jianwen Yan","Jie Ren","Xiangnan Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T10:03:32Z","doi":"10.1061/9780784486795.008","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.9728/dcs.2026.27.6.1521","name":"Conceptual Redefinition and Framework Proposal of Experiential Digital Twin for Media Art Expansion","source":"crossref","abstract":"","url":"https://doi.org/10.9728/dcs.2026.27.6.1521","authors":["Hyung-Woo Jin","GyuHyeok Choi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-13T02:00:59Z","doi":"10.9728/dcs.2026.27.6.1521","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1080/13697137.2025.2567693","name":"Simulation-based model of menopause: hormonal changes and cardiovascular risk in a digital twin view","source":"crossref","abstract":"","url":"https://doi.org/10.1080/13697137.2025.2567693","authors":["Alexandre Vallée"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-03T13:17:55Z","doi":"10.1080/13697137.2025.2567693","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2139/ssrn.6993212","name":"Towards responsible digital twin innovation for the public good: an ethics implementation framework for Aotearoa New Zealand","source":"crossref","abstract":"Digital twins are increasingly influential data-driven models that simulate real-world systems and inform decisions across science, policy and practice. While they offer significant potential for public good applications, ethical issues relating to bias, representation, data sovereignty, and fairness remain underexplored. This paper presents an ethics implementation framework for digital twin innovation in Aotearoa New Zealand, with a focus on socially responsive and public good applications.,We discuss three interconnected areas of digital twin ethics: (1) the ethical creation and use of synthetic populations, particularly regarding Māori, Pacific peoples, migrant communities, communities experiencing high deprivation, older people, and disabled populations; (2) ethical model development, including recognition and mitigation of algorithmic bias; and (3) the ethics of interventions informed by digital twin simulations. Drawing on examples from Aotearoa New Zealand and Australia, alongside concepts from decolonial ethics, data justice, and systems thinking, we argue that ethics should be pro-actively embedded throughout the digital twin lifecycle.,In Aotearoa New Zealand, Māori data sovereignty, grounded in Te Tiriti o Waitangi, must be treated as a foundational governance requirement for ethical digital twin innovation. We offer a practice-oriented Digital Twin Ethics Implementation Framework informed by systems change principles, including foundational elements such as governance, co-design, capability, and practical tools, alongside lifecycle integration across assessment, development, deployment, and adaptive learning. The framework positions ethics as an enabler of responsible innovation, trust, and equitable public health decision-making. The paper offers practical reflections for researchers, policymakers, councils, and public sector organisations developing digital twins for the public good.","url":"https://doi.org/10.2139/ssrn.6993212","authors":["Sudesh Sharma","Alvaro Orsi","Jan Sheppard","Fiona Callaghan","Alex Wang","Angela Ballantyne"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T14:59:43Z","doi":"10.2139/ssrn.6993212","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/netsoft70012.2026.11603531","name":"Cybersecurity in IoT-to-Cloud Applications Using Service–Oriented Digital Twin Approach and Toolbox","source":"crossref","abstract":"","url":"https://doi.org/10.1109/netsoft70012.2026.11603531","authors":["Sonika Gogineni","Ilinca Burdulea","Wissam Mallouli","Bruno Vidalenc","Alexandros Valantasis","Pascal Lünnemann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-16T21:48:13Z","doi":"10.1109/netsoft70012.2026.11603531","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1016/j.aei.2026.104734","name":"Spectrally normalised Wasserstein generative adversarial imputation framework for multi-modal SHM data recovery in digital-twin systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2026.104734","authors":["Sumit Saha","Steven Linforth","Nandakishor Desai","Tuan Ngo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-05T02:21:34Z","doi":"10.1016/j.aei.2026.104734","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/iccpct70290.2026.11654926","name":"AI-Enabled Digital Twin Framework for Real-Time Structural Health Monitoring and Damage Prediction in Smart Civil Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccpct70290.2026.11654926","authors":["Navami P M","Reshma M Raju"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T19:14:15Z","doi":"10.1109/iccpct70290.2026.11654926","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/s10586-026-06381-6","name":"A digital twin-inspired intelligent healthcare framework for aquatic animals","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10586-026-06381-6","authors":["Abdullah Alqahtani","Munish Bhatia","Veerawali Behal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-23T11:54:44Z","doi":"10.1007/s10586-026-06381-6","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.9734/jerr/2026/v28i31826","name":"A Digital Twin-driven Deep Reinforcement Learning Approach for Smart Workshop Scheduling","source":"crossref","abstract":"Workshop scheduling is a fundamental challenge in industrial engineering, requiring sophisticated strategies to manage increasing production complexity. This study proposes an integrated framework that combines Digital Twin (DT) technology with Deep Reinforcement Learning (DRL) to achieve autonomous and adaptive scheduling. While DT technology enables high-fidelity, real-time synchronization between physical shop floors and virtual models, DRL provides the intelligent decision-making framework necessary for dynamic optimization. By mapping physical assets into a synchronized digital environment, the DT provides a risk-free simulation bed for the training and validation of DRL agents. This approach facilitates real-time feedback loops, allowing the system to respond to stochastic disturbances while maximizing resource utilization and minimizing production costs. In this research, DRL algorithms are deployed to optimize multi-objective scheduling tasks, leveraging the DT to provide a low-cost, high-efficiency environment for iterative learning. The results demonstrate that this synergy effectively addresses complex, non-linear decision-making problems that traditional heuristic methods often fail to resolve. This study utilizes an improved DQN algorithm (with dual networks and prioritized experience replay) to address practical manufacturing challenges like machine breakdowns and urgent order insertions. By leveraging the Digital Twin for real-time synchronization, the model adaptively re-schedules resources, achieving a 14.6% reduction in makespan and a 12.3% improvement in resource utilization compared to traditional rules. The results confirm the system's resilience, maintaining an 86.5% equipment utilization rate under stochastic disturbances. Ultimately, the integration of DT and DRL provides a robust foundation for the realization of smart manufacturing and resilient production systems, offering a scalable solution for modern industrial environments.","url":"https://doi.org/10.9734/jerr/2026/v28i31826","authors":["Jianlong Qian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-18T04:05:34Z","doi":"10.9734/jerr/2026/v28i31826","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.20944/preprints202603.1407.v1","name":"From Multi-Source Remote Sensing to Prescriptive Marine Zoning: An Energy-Conscious Digital Twin Architecture for the Florida Keys National Marine Sanctuary","source":"crossref","abstract":"The Florida Keys National Marine Sanctuary (FKNMS) is monitored by an extensive but fragmented constellation of remote sensing and in-situ observation platforms: Sentinel-2 and Landsat multispectral satellite imagery, NOAA Coral Reef Watch satellite-derived thermal products, autonomous underwater vehicle photography, passive acoustic hydrophone arrays, vessel-tracking AIS transponders, and multi-agency water-quality sensor networks—collectively covering 2,900 square nautical miles of reef, seagrass, and mangrove habitat supporting more than 6,000 species. These data streams operate in silos, producing isolated assessments that cannot support the integrated, time-sensitive management decisions the sanctuary requires. Meanwhile, the sanctuary’s static zone boundaries, designed from 1990s-era reef assessments, now protect degraded substrate in some areas while leaving climate-resilient coral assemblages unprotected in others. We propose an energy-aware, tiered AI architecture that fuses these multi-source remote sensing and in-situ data streams into a digital twin of the FKNMS ecosystem. The architecture assigns remote sensing analytics tasks across three computational tiers—classical machine learning for structured sensor and satellite-derived indices, deep learning for unstructured imagery and acoustic spectrograms, and foundation models for cross-modal reasoning and multi-agency report synthesis—reserving the most energy-intensive techniques for tasks where they are irreplaceable. A reinforcement learning agent operates on the fused remote sensing state representation to recommend real-time adjustments to sanctuary zone boundaries, optimizing for coral recovery, sustainable fish stocks, and biodiversity under socioeconomic constraints. We ground each architectural component in existing, publicly available remote sensing infrastructure and demonstrate the framework through three prescriptive scenarios: satellite-triggered bleaching early warning with adaptive closures, remote-sensing-informed lionfish invasion management, and climate-adaptive rezoning driven by multi-temporal imagery analysis. The architecture directly addresses the energy-conservation paradox—the risk that computationally expensive remote sensing analytics intended to protect the environment may themselves cause environmental harm—by formalizing energy cost as a first-class constraint in model selection. This work complements a companion paper applying the same tiered architecture to the Greater Yellowstone Ecosystem, demonstrating extensibility across terrestrial and marine remote sensing domains.","url":"https://doi.org/10.20944/preprints202603.1407.v1","authors":["Harsh Deep Singh Narula"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-20T01:18:11Z","doi":"10.20944/preprints202603.1407.v1","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/en19030703","name":"Development of Programmable Digital Twin via IEC-61850 Communication for Smart Grid","source":"crossref","abstract":"This paper proposes the development of an IEC 61850-compliant platform that is readily programmable and deployable for future digital twin applications. Given the compatibility between IEC-61850 and digital twin concepts, a focused case study was conducted involving the robust development of a Raspberry Pi platform with protection relay functionality using the open-source libIEC61850 library. Leveraging IEC-61850’s object-oriented data modelling, the relay can be represented by fully consistent virtual and physical models, providing an essential foundation for accurate digital twin instantiation. The relay implementation supports high-speed Sampled Value (SV) subscription, real-time RMS calculations, IEC Standard Inverse overcurrent trip behaviour according to IEC-60255, and Generic Object-Oriented Substation Event (GOOSE) publishing. Further integration includes setting group functionality for dynamic parameter switching, report control blocks for MMS client–server monitoring, and GOOSE subscription to simulate backup relay protection behaviour with peer trip messages. A staged development methodology was used to iteratively develop features from simple to complex. At the end of each stage, the functionality of the added features was verified before proceeding to the next stage. The integration of the Raspberry Pi into Curtin’s IEC = 61,850 digital substation was undertaken to verify interoperability between IEDs, a key outcome relevant to large-scale digital twin systems. The experimental results confirm GOOSE transmission times below 4 ms, tight adherence to trip-time curves, and performance under higher network traffic. Such measured RMS and trip-time errors fall well within industry and IEC limits, confirming the reliability of the relay logic. The takeaways from this case study establish a high-performing, standardised foundation for a digital twin system that requires fast, bidirectional communication between a virtual and a physical system.","url":"https://doi.org/10.3390/en19030703","authors":["Hyllyan Lopez","Ehsan Pashajavid","Sumedha Rajakaruna","Yanqing Liu","Yanyan Yin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T10:08:57Z","doi":"10.3390/en19030703","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/icicacs68679.2026.11578724","name":"Multi-Agent Reinforcement Learning Digital Twin System for Real-Time Urban Traffic Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icicacs68679.2026.11578724","authors":["Santhosh M","Rakesh R. Angadi","Rakshit A. Koppad","Ravi Kiran","Sainath"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-30T21:15:20Z","doi":"10.1109/icicacs68679.2026.11578724","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/iits69561.2026.11648439","name":"Blockchain Empowered Load Side Digital Twin Collaborative Optimization and Secure Data Sharing Mechanism","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iits69561.2026.11648439","authors":["Zhanjun Ma","Cong Shi","Gaoqian Xue","Lina Yang","Simayi Xuelati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T19:08:01Z","doi":"10.1109/iits69561.2026.11648439","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1007/s00146-026-03106-6","name":"Doing digital human twin? An ethnographic analysis of social practice with avatars in schools","source":"crossref","abstract":"Abstract The term ‘digital human twin’ is frequently used to refer to a digital representation of the human body and its ongoing processes created for the purpose of biomedical modelling, and achieved by means of sensing and data-processing of physiological measurements. Taking a different approach to the idea of a ‘digital human twin’, this sociologically oriented article conceptualises the human body not as a biological system, but as a cultural artefact that is the basis of social interaction. How do digital twins participate in everyday practices, and how are they meaningfully produced, through practices, as a kind of second body or self-representation? Praxeologically, how does ‘doing digital human twin’ work? The question is investigated on the basis of empirical material: ethnographic observations of practices involving avatars in schools. In this empirical example, the concept of the ‘digital human twin’ is used as an analytical lens that can be examined in terms of its epistemological potential. The article explores practices undertaken in the creative interactions of users with their avatars, revealing thereby both parallels and limitations in relation to established ‘digital human twin’ concepts. By analysing these fits and misfits, the article contributes to the further reflection on the concept. Finally, the author proposes that the socio-technical practices involved in the production of a digital self-representation or a digital being could better be described not as twinning, but as ‘digital human distribution’. Finally, the question is raised as to whether the socio-technical practices observed suggest a distribution rather than a twinning. The research is based on a project funded by the German Research Foundation (DFG).","url":"https://doi.org/10.1007/s00146-026-03106-6","authors":["Jochen Lange"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-23T06:56:20Z","doi":"10.1007/s00146-026-03106-6","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1093/bjd/ljaf429.031","name":"P03 Creating digital twin images of psoriasis using generative artificial intelligence","source":"crossref","abstract":"Abstract Introduction and aims Psoriasis is an inflammatory skin disorder affecting &amp;gt; 1 million people in the UK. Machine learning has become an important tool for image processing tasks within dermatology. An emerging technique within this field includes generative artificial intelligence (AI). The aim of this study was to train a generative adversarial network (GAN) to create personalized, AI digital twin images of psoriasis. Methods Overall, 1664 photographs of psoriasis and surrounding normal skin were taken from 57 participants. A total of 375 images from 20 individuals were used to train a GAN (StyleGAN) to generate ‘fake’ but realistic images of psoriasis. In total, 464 of these images were assessed and scored by three dermatologists who graded the images using the erythema and scaling components of the Psoriasis Area and Severity Index; mean erythema and scaling scores were 1.97 ± 0.011 and 1.71 ± 0.021, respectively, for images of moderate psoriasis, and 3.07 ± 0.018 and 3.00 ± 0.025, respectively, for images of severe psoriasis. Results In total, 210 real patient images were subsequently embedded into the latent space of the GAN allowing us to transform clinical photographs into digital twin images, replicating the unique psoriatic lesions of individual patients. Furthermore, comparison of images of different severity by the GAN enabled the identification of treatment and size vectors. Application of these vectors to the digital twin images allows us to observe a prediction for the changes that would be expected following treatment in the clinical setting, i.e. reduction in erythema and scaling with minimal reduction in size of psoriatic lesion. We are currently evaluating the accuracy of the personalized GAN images in predicting improvement in patients’ psoriasis undergoing treatment with ultraviolet. Conclusions This study shows that generative AI, using the StyleGan network, could be used to illustrate a predicted treatment response with antipsoriatic therapy for patients with psoriasis in a clinical setting.","url":"https://doi.org/10.1093/bjd/ljaf429.031","authors":["Joseph Scott","James Grant-Jacob","George Coltart","Michalis Zervas","Mahesan Niranjan","Ben Mills","Eugene Healy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-06T12:23:32Z","doi":"10.1093/bjd/ljaf429.031","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/icmcsi67283.2026.11412549","name":"Digital Twin-Enabled Smart Microgrids: Techinal Architecture and Regulatory Challenges for Energy Security, Net-Zero Mandates and Utility Governance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmcsi67283.2026.11412549","authors":["Tanushree Dass","Chander Parkash Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-04T20:48:26Z","doi":"10.1109/icmcsi67283.2026.11412549","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/metroaerospace69299.2026.11646809","name":"From UAV-Based Sensing to Digital Twin Updating: A Traceable Framework for Aircraft Defect Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace69299.2026.11646809","authors":["Carlotta Fontana","Rosario Giordano","Giovanni Baglivo","Gianmarco Concilio","Nicola Cappetti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T19:08:24Z","doi":"10.1109/metroaerospace69299.2026.11646809","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1117/12.3112372","name":"Research on the construction of a bridge real-scene 3D digital twin platform based on 3D Gaussian splatting","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3112372","authors":["Ruofeng Qiu","Yongjian Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-19T17:02:52Z","doi":"10.1117/12.3112372","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1117/12.3110888","name":"Research on digital twin-driven intelligent operation and maintenance of subway turnstiles","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3110888","authors":["Ruijuan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T18:41:55Z","doi":"10.1117/12.3110888","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.58425/jpscm.v5i1.493","name":"Hospital Inventory Resilience Using Conformal Prediction and Digital Twin Simulation During Sudden Demand Spikes","source":"crossref","abstract":"Aim: This study aims to develop and evaluate a novel inventory management framework for hospital supply chains that integrates probabilistic demand forecasting using conformal prediction with digital twin-based simulation. The objective is to improve resilience and reduce stockouts of critical medical supplies, such as N95 masks, during sudden demand surges like those experienced during COVID-19. Methods: The proposed model uncertainty-aware demand forecasting using conformal prediction to generate probabilistic demand intervals rather than single-point estimates. It also uses digital twin simulation of hospital inventory dynamics to evaluate alternative inventory control policies under stochastic demand conditions. To demonstrate feasibility, ten synthetic 30-day demand scenarios for N95 masks were generated. These demand curves were tested against two baseline inventory policies using simulation. Performance metrics included stockout frequency and inventory level efficiency. Results: Simulation results indicate that integrating conformal prediction–based demand intervals with digital twin simulation significantly reduces stockout occurrences compared to traditional single-point forecast methods. The proposed approach achieved improved service levels while maintaining inventory at economically sustainable levels. The findings suggest that explicitly modeling uncertainty enhances decision-making robustness under volatile demand conditions. Conclusion: Uncertainty-aware forecasting combined with supply chain simulation provides a more resilient alternative to conventional deterministic inventory planning models. Recommendations: Future research should prioritize validating the proposed framework using real-world hospital demand data to establish external validity and operational relevance. Incorporating empirical datasets would allow for more robust calibration of conformal prediction intervals and improve the fidelity of the digital twin simulation. In addition, the model should be expanded to account for critical operational constraints such as supplier lead times, procurement delays, budget ceilings, and storage capacity limitations, all of which materially influence inventory performance in practice.","url":"https://doi.org/10.58425/jpscm.v5i1.493","authors":["Kanav Arora"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-28T13:34:55Z","doi":"10.58425/jpscm.v5i1.493","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1117/12.3078095","name":"Digital twin augmented reality for image-guided trochleoplasty","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3078095","authors":["Joshua T. Fei","James Lee Pace"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-16T18:51:24Z","doi":"10.1117/12.3078095","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.30546/1683-6154.25.2.2026.299","name":"AI-driven Digital Twin in Breast Cancer Neoadjuvant Therapy: MCPS-Based Adaptive Treatment Planning and Tumor Response Prediction via Deep Learning (pp.299-315)","source":"crossref","abstract":"","url":"https://doi.org/10.30546/1683-6154.25.2.2026.299","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T05:49:02Z","doi":"10.30546/1683-6154.25.2.2026.299","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.3390/urbansci10080483","name":"Antecedents of Digital Twin Adoption for Precision Cancer Care in Urban India","source":"crossref","abstract":"India is the most populous country in the world, with a rising urban population and witnessing a surge in noncommunicable diseases such as cancer that impose significant pressure on healthcare professionals, hospitals, and city planners. Over the last decade, India has pursued a vision to transform urban areas into smart cities and roll out digital infrastructure. Rapid urbanization coupled with an ageing population has accelerated demand for precision cancer care (PCC) solutions using advanced technologies such as digital twins (DT), leveraging the developing digital infrastructure in urban India. The fast evolution of e-health technologies and digital infrastructure outstrips healthcare professional readiness, creating challenges for DT adoption for PCC. Past studies on DT adoption primarily focused on organizational adoption and technical implementation challenges. This study addresses this research gap by leveraging the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to investigate the factors that influence the adoption intention of DT for PCC in urban India. The article reports actionable insights and implications for researchers, healthcare professionals, top management of hospitals, smart city planners, government agencies, and urban policymakers. The study will assist stakeholders such as cancer care organizations, technology service providers, and city planners in planning, designing, and implementing DT for PCC.","url":"https://doi.org/10.3390/urbansci10080483","authors":["Amey Shirish Shrotri","Karippur Nanda Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T12:57:53Z","doi":"10.3390/urbansci10080483","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.2196/preprints.105312","name":"In-Silico Sensemaking of Algorithm Aversion in an Emergency Department Digital Twin: Effects of Explainable AI Explanation Modality and Clinician Expertise on Triage Reassessment (Preprint)","source":"crossref","abstract":"BACKGROUND Emergency department (ED) triage relies on visible indicators and can miss occult injuries such as delayed epidural hemorrhage. Patient digital twins that integrate brain–computer interface (BCI) signals and deep biosignals can detect such occult deterioration in real time and recommend a severity upgrade; however, these recommendations frequently collide with clinicians’ heuristics and elicit algorithm aversion. How a clinician makes sense of, and ultimately accepts or rejects, a counter-heuristic artificial intelligence (AI) alert is a central cognitive-ergonomics and decision-support problem that remains poorly understood. OBJECTIVE This study examined how the explanation modality of an explainable AI (XAI) decision aid (causal narrative vs counterfactual) and clinician expertise (novice vs expert) jointly shape epistemic trust, the sensemaking trajectory, and triage reassessment in an ED digital twin, and it derives an expertise-adaptive human–machine interface (HMI) design. METHODS We conducted an in-silico persona experiment in which a large language model (LLM) was prompted with emergency-medicine novice and expert personas. Using a 2 (expertise) × 2 (explanation modality) full-factorial design with 30 replications per cell (N=120 Chain-of-Thought reasoning traces), we combined quantitative indicators (acceptance rate, number of reasoning steps to conflict resolution, and frequency of epistemic-trust markers) with constructivist grounded-theory coding. Personas were specified by expertise and experience only—cognitive bias was treated as an observed outcome rather than an injected instruction—the stimulus was held constant, and the base model, temperature (0.7), and per-run seed rotation were fixed so that the 120 traces represent a response distribution to an identical stimulus. RESULTS A robust expertise × explanation interaction emerged. For experts, counterfactual explanations raised acceptance markedly relative to causal narratives (50.0% vs 76.7%) and shortened conflict resolution (6.5 vs 4.4 reasoning steps), whereas for novices the two modalities differed little (86.7% vs 80.0%). Three core categories organized the sensemaking process: clinical heuristic dominance, sensemaking reconfiguration, and cognitive conflict-resolution strategies. Counterfactual explanations appeared to disrupt experts’ confirmation loop (“what would change if I ignored this signal?”), whereas novices showed high but potentially uncritical acceptance. CONCLUSIONS In high-stakes ED decision support, algorithm aversion is better understood as a problem of mind perception and the redistribution of agency than as a fixed trust trait. XAI explanation modality operates as a cognitive-ergonomic lever whose effect is moderated by expertise, motivating expertise-adaptive HMI and autonomy-preserving governance. Because the evidence is generated in silico, the quantitative estimates should be read as a structured set of hypotheses for subsequent human validation rather than as confirmatory human findings. CLINICALTRIAL Not applicable. This study is an in-silico simulation using large language models and does not involve human participants or actual patient interventions.","url":"https://doi.org/10.2196/preprints.105312","authors":["Hosung Son"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T21:00:07Z","doi":"10.2196/preprints.105312","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"doi:10.1109/mcomstd.2025.3648845","name":"Blockchain-Secured Multi-Agent Digital Twin Framework for Distributed Manufacturing With Fuzzy PID Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcomstd.2025.3648845","authors":["Shuo Kang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-14T20:41:43Z","doi":"10.1109/mcomstd.2025.3648845","addedAt":"2026-09-01T01:47:42.459Z","updatedAt":"2026-09-01T01:47:42.459Z"},{"id":"oa:W4307934479","name":"The Executable Digital Twin: merging the digital and the physics worlds","source":"openalex","abstract":"While the digital twin has become an intrinsic part of the product creation process, its true power lies in the connectivity of the digital representation with its physical counterpart. Data acquired on the physical asset can validate, update and enrich the digital twin. The knowledge contained in the digital representation brings value to the physical asset itself. When a dedicated encapsulation is extracted from the digital twin to model a specific set of behaviors in a specific context, delivering a stand-alone executable representation, such instantiated and self-contained model is referred to as an Executable Digital Twin. In this contribution, key building blocks such as model order reduction, real-time models, state estimation and co-simulation are reviewed, and a number of characteristic use cases are presented. These include virtual sensing, hybrid testing and hardware-in-the loop, model-based control and model-based diagnostics.","url":"https://doi.org/10.48550/arxiv.2210.17402","authors":["Herman Van der Auweraer","Dirk Hartmann"],"tags":["Executable","Computer science","Representation (politics)","Theoretical computer science","Programming language"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-25","doi":"https://doi.org/10.48550/arxiv.2210.17402","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4413393021","name":"Digital Twins as Enablers of Sustainable and Resilient Industry 5.0 Infrastructure: A Review","source":"openalex","abstract":"The advent of Industry 5.0 heralds a paradigm shift toward human-centric, sustainable, and resilient industrial systems. Central to this transformation is the integration of Digital Twins (DTs), virtual replicas of physical entities that enable real-time monitoring, predictive analysis, and dynamic decision-making. This paper presents a comprehensive review of the current state and future potential of DTs in facilitating sustainable and resilient infrastructure within Industry 5.0. By synthesizing insights from 60 academic papers, the study explores key applications, including smart manufacturing, urban planning, and supply chain resilience, where DTs optimize resource usage, minimize environmental impact, and enhance operational efficiency. The convergence of enabling technologies such as IoT, AI, blockchain, and edge computing is discussed, highlighting their role in overcoming challenges like data integration, high implementation costs, and cybersecurity risks. Through an in-depth analysis, this paper identifies research gaps and proposes a conceptual framework to advance the adoption of DTs in Industry 5.0, emphasizing their potential to create a sustainable, human-centered industrial future.","url":"https://doi.org/10.23919/indiacom66777.2025.11115543","authors":["Mannu","Riya Rawat","Kritika Nagal","Rakhee Sharma"],"tags":["Business","Industry 4.0","Computer science","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-02","doi":"https://doi.org/10.23919/indiacom66777.2025.11115543","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4224222940","name":"Applying Digital Twin Technology in Higher Education: An Automation Line Case Study","source":"openalex","abstract":"Production systems are being expanded to include Digital Twins (DTs) as part of increased industrial digitalization. DTs can bring benefits e.g., increase visibility, safety, and accessibility of the system. Further, digital experimentation can reduce time and cost. Though, application of DT technologies involves challenges i.e., model accuracy or errors in transferring data or codes between the DT and the physical twin. Many studies on DTs focus on industrial applications. However, DT technology has potential for implementation of digital labs in education. This aspect of DTs is of rising importance as distance education has increased over the last decade and access to physical laboratories can be restricted due to factors such as the Covid-19 pandemic. Thus, there is a need to study the use of DT technology in higher education. To address this, we investigate possibilities and challenges of applying DT technology in education to conduct industrial-like labs virtually. A case of an automation line, with full scale industrial equipment, based at a research center, is focused. Results emphasize that the application of DT technologies require multi-domain expertise to understand the consequences of every single decision in the design process on every piece of equipment involved, making the modelling process complex and time consuming. Thus, when applied in education, test procedures need to be designed to focus on students’ motivation, improved learning and understanding of production systems. DTs are considered enabling technologies supporting the concept of Industry 5.0, thus stressing the human-centric aspects of advancing Industry 4.0. The predicted application of DTs emphasizes the need for educational curricula that include laboratory applications and theoretic understanding of DT technologies. This study focusses the application of DT technologies in higher education curricula, but the result of the study can contribute to other areas such as automation and virtual commissioning towards smarter manufacturing.","url":"https://doi.org/10.3233/atde220165","authors":["Kristina Eriksson","Abdlkarim Alsaleh","Shervin Behzad Far","David Stjern"],"tags":["Automation","Process (computing)","Domain (mathematical analysis)","Industry 4.0","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-20","doi":"https://doi.org/10.3233/atde220165","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4382542398","name":"Digital twins in lean construction: a neutrosophic AHP – BOCR analysis approach","source":"openalex","abstract":"Purpose Increasing complexity in construction projects evokes interest in application of innovative digital technologies in construction. Digital twins (DT), which bring these innovative technologies together, have strong interactions with lean construction (LC). To highlight the collaborative nature of DT and LC, the paper explores the interactions between LC and DT and assesses benefits, costs, opportunities and risks (BOCR) of DT in LC to analyze significant obstacles and enablers in DT adoption in LC. Design/methodology/approach BOCR approach comprehensively considers both the positive and the negative attributes of a problem. At the first step, BOCR criteria for DT are identified through literature review and expert opinions, at the second step dependencies among BOCR criteria for DT in LC are determined by neutrosophic analytic hierarchy process (AHP), through a questionnaire survey. Integrating BOCR into neutrosophic AHP enables achieving more meaningful preference scores. Findings Cost of skilled workforce is the most important factor and opportunity to reduce waste is the second most important factor in adoption of DT in LC. The results were analyzed to rank the BOCR of adoption of DT in LC. Originality/value This study, in a novel way, performs BOCR analysis through neutrosophic AHP to reflect experts' judgments more effectively by neutrosophic AHP's better handling of vagueness and uncertainty. The paper provides a model to better understand the significant factors that influence adoption of DT in LC.","url":"https://doi.org/10.1108/ecam-11-2022-1115","authors":["Ebru Altan","Zeynep Işık"],"tags":["Analytic hierarchy process","Vagueness","Rank (graph theory)","Computer science","Originality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-29","doi":"https://doi.org/10.1108/ecam-11-2022-1115","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4312265843","name":"Digital Twin and Human Factors in Manufacturing and Logistics Systems: State of the Art and Future Research Directions","source":"openalex","abstract":"Today, Digital Twin (DT) represents an emerging topic in Manufacturing and Logistics (M&L) systems due to its role as an enabler of digital transformation in the so-called Smart Factories. It has been widely integrated into maintenance, production planning, and control or layout planning decisions. Several frameworks and surveys have been proposed to provide guidelines, managerial insights, limitations, and future research perspectives on this emerging topic. However, just a few works focus the attention on DT and its role in quantifying, evaluating, and providing ergonomics, mental or physical workload, posture feedback, or warnings to workers, aiming to improve their safety conditions. For this reason, this study investigates the current state of the art in DT and its application as a tool to evaluate and integrate ergonomic aspects, or additional human factors, in M&L systems. Furthermore, future research directions are provided.","url":"https://doi.org/10.1016/j.ifacol.2022.09.675","authors":["Nicola Berti","Serena Finco"],"tags":["Enabling","Workload","Cyber-physical system","Computer science","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.09.675","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4409581216","name":"Digital Twin Technologies for Vehicular Prototyping: A Survey","source":"openalex","abstract":"Digital Twin (DT) technology is widely regarded as one of the most promising tools for industry development, demonstrating substantial application across numerous cyber-physical systems. Gradually, this technology has been introduced into modern vehicular systems focusing on its application in intelligent driving, connected vehicles, automotive engineering, aircraft health, and many more. By creating dynamic, virtual replicas of physical vehicles and their associated components, DT enables unprecedented levels of analysis, simulation, and real-time monitoring, thereby enhancing performance, safety, and sustainability. This paper offers a comprehensive review, extending beyond digital twins to include various prototyping approaches for target-specific applications focusing on the smart vehicular systems across automotive, aviation, and maritime domains driving the evolution of next-generation vehicular infrastructure.","url":"https://doi.org/10.1109/ojits.2025.3562504","authors":["Md Rafiul Kabir","Bhagawat Baanav Yedla Ravi","Sandip Ray"],"tags":["Rapid prototyping","Computer science","Engineering","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/ojits.2025.3562504","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3170240163","name":"Cellulose nanocrystal based composites: A review","source":"openalex","abstract":"Cellulose nanocrystals (CNC) have received much attention as renewable, biodegradable, nontoxic, and low-cost nanomaterials with some remarkable properties. Desirable engineering properties of CNC include large surface to volume ratio, high tensile strength (~10 GPa), high stiffness (~110–130 GPa), and high flexibility. They can be chemically modified to tailor their properties for high-end engineering and biomedical applications. Despite their outstanding properties, the wide-scale application is lacking due to their surface characteristics and processing challenges. To achieve their full potential safer extraction methods, improved surface modification and functionalization methods and processing techniques are being researched. This review attempts to access methods for characterizing CNC, and CNC composites as well as their emerging new applications as smart materials. The review is a valuable resource for researchers and scientists working in industry or academia to provide an update on the use of CNC materials and their composites in packaging, biomedical, and high-efficiency energy systems.","url":"https://doi.org/10.1016/j.jcomc.2021.100164","authors":["Jamileh Shojaeiarani","Dilpreet S. Bajwa","Saptaparni Chanda"],"tags":["Materials science","Flexibility (engineering)","Surface modification","Nanomaterials","Ultimate tensile strength"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-29","doi":"https://doi.org/10.1016/j.jcomc.2021.100164","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4366212868","name":"Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia","source":"openalex","abstract":"The Machine learning (ML) revolution is becoming established in oceanographic research, but its applications to emulate marine biogeochemical models are still rare. We pioneer a novel application of machine learning to emulate a highly complex physical-biogeochemical model to predict marine oxygen in the shelf-sea environment. The emulators are developed with intention of supporting future digital twins for two key stakeholder applications: (i) prediction of hypoxia for aquaculture and fisheries, (ii) extrapolation of oxygen from marine observations. We identify the key drivers behind oxygen concentrations and determine the constrains on observational data for a skilled prediction of marine oxygen across the whole water column. Through this we demonstrate that ML models can be very useful in informing observation measurement arrays. We compare the performance of multiple different ML models, discuss the benefits of the used approaches and identify outstanding issues, such as limitations imposed by the spatio-temporal resolution of the training/validation data.","url":"https://doi.org/10.3389/fmars.2023.1058837","authors":["Jozef Skákala","Katie Awty-Carroll","Prathyush P. Menon","Ke Wang","Gennadi Lessin"],"tags":["Biogeochemical cycle","Extrapolation","Oceanography","Computer science","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-17","doi":"https://doi.org/10.3389/fmars.2023.1058837","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4295796311","name":"Software Architecture and Non-Fungible Tokens for Digital Twin Decentralized Applications in the Built Environment","source":"openalex","abstract":"Blockchain technology (BCT) can enable distributed collaboration, enhance data sharing, and automate back-end processes for digital twin (DT) decentralized applications (dApps) in the construction industry (CI) 4.0. The aim of this paper was to propose a software architecture and to develop a framework of smart contracts for blockchain-based digital twin (BCDT) dApps throughout the lifecycle of projects in CI 4.0. This paper leveraged the existing literature and action research interviews to identify and validate the critical industry problems, functional requirements (FRs), and non-functional requirements (NFRs) to be addressed by BCDT dApps in CI 4.0. Basic use cases were developed to design a framework of smart contracts for BCDT dApps throughout the lifecycle of projects. The analysis of an online survey was used to identify the key requirements and enablers to propose a software architecture for BCDT applications and to validate the requirements for developing the framework of a smart contract for BCDTs. The findings were: (1) The identification of key problems in CI 4.0 for each BIM/BCDT dimension (3D, 4D, 5D, 6D, 7D, 8D, and contractual (cD)) and the related FRs and NFRs for BCDT applications. Additionally, key use cases were designed to address the problems identified. (2) The proposed BCDT architecture permitted us to narrow gaps in the literature on blockchain-based decentralized digital twins. Moreover, the proposed BCDT architecture and smart-contract framework addressed the main requirements in the literature on BCDTs. (3) The study leveraged the non-fungible token (NFT) standard to develop a framework for smart contracts that addressed the key use cases and the related industry problems and functional requirements that were identified. The study also considered the contractual dimension (cD) as an overarching dimension in relation to the other BCDT dimensions. (4) We also compared the costs of several public blockchains for executing the proposed smart-contract framework throughout the lifecycle of a medium-sized building project. The cost analysis permitted the development of criteria to evaluate the suitability of blockchain networks for BCDT applications in CI 4.0 depending on the principal blockchain networks’ properties (security, decentralization, scalability, and interoperability). Finally, this study resulted in a novel framework that included software architecture, smart-contract use cases, and selection criteria among blockchain networks for BCDT dApps in CI 4.0.","url":"https://doi.org/10.3390/buildings12091447","authors":["Benjamin Teisserenc","Samad M. E. Sepasgozar"],"tags":["Computer science","Key (lock)","Reference architecture","Architecture","Software architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-14","doi":"https://doi.org/10.3390/buildings12091447","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4378379228","name":"Towards Digital Twins of Small Productive Processes in Microgrids","source":"openalex","abstract":"In microgrids (MGs), energy management systems (EMSs) have been using increasingly detailed models of generation units, loads, and networks to make decisions on the power/energy contribution of each available unit to meet the electrical energy demand. This work aims to investigate the use of digital twins (DT) of small productive processes (SPPs) to regulate endogenous process variables to ensure final product quality, while the expected power consumption is estimated and communicated to the EMS so that it can make its decisions on the participation of each power source in meeting the electrical energy demand. The literature review reveals that this is one of the first attempts, in the context of MGs, to generate DT for SPPs that combine not only the electrical energy consumption, but also link it with the energy/mass balances taking place in the SPPs, highlighting the complexity that SPPs have as electrical loads. The results demonstrate that environmental conditions significantly influence the final electrical consumption of the SPPs. Additionally, the MG exhibits better economic performance when the SPP DT supports EMS decision-making, which is of great importance in MGs due to the special conditions they have for electric power generation, being more challenging in isolated MGs.","url":"https://doi.org/10.3390/en16114324","authors":["Danny Espín-Sarzosa","Rodrigo Palma-­Behnke","Felipe Valencia"],"tags":["Context (archaeology)","Electric power","Work (physics)","Electric potential energy","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-25","doi":"https://doi.org/10.3390/en16114324","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4249565903","name":"The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception","source":"openalex","abstract":"The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing, longitudinal, multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer's disease (AD). The study aimed to enroll 400 subjects with early mild cognitive impairment (MCI), 200 subjects with early AD, and 200 normal control subjects; $67 million funding was provided by both the public and private sectors, including the National Institute on Aging, 13 pharmaceutical companies, and 2 foundations that provided support through the Foundation for the National Institutes of Health. This article reviews all papers published since the inception of the initiative and summarizes the results as of February 2011. The major accomplishments of ADNI have been as follows: (1) the development of standardized methods for clinical tests, magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF) biomarkers in a multicenter setting; (2) elucidation of the patterns and rates of change of imaging and CSF biomarker measurements in control subjects, MCI patients, and AD patients. CSF biomarkers are consistent with disease trajectories predicted by β-amyloid cascade (Hardy, J Alzheimers Dis 2006;9(Suppl 3):151-3) and tau-mediated neurodegeneration hypotheses for AD, whereas brain atrophy and hypometabolism levels show predicted patterns but exhibit differing rates of change depending on region and disease severity; (3) the assessment of alternative methods of diagnostic categorization. Currently, the best classifiers combine optimum features from multiple modalities, including MRI, [(18)F]-fluorodeoxyglucose-PET, CSF biomarkers, and clinical tests; (4) the development of methods for the early detection of AD. CSF biomarkers, β-amyloid 42 and tau, as well as amyloid PET may reflect the earliest steps in AD pathology in mildly symptomatic or even nonsymptomatic subjects, and are leading candidates for the detection of AD in its preclinical stages; (5) the improvement of clinical trial efficiency through the identification of subjects most likely to undergo imminent future clinical decline and the use of more sensitive outcome measures to reduce sample sizes. Baseline cognitive and/or MRI measures generally predicted future decline better than other modalities, whereas MRI measures of change were shown to be the most efficient outcome measures; (6) the confirmation of the AD risk loci CLU, CR1, and PICALM and the identification of novel candidate risk loci; (7) worldwide impact through the establishment of ADNI-like programs in Europe, Asia, and Australia; (8) understanding the biology and pathobiology of normal aging, MCI, and AD through integration of ADNI biomarker data with clinical data from ADNI to stimulate research that will resolve controversies about competing hypotheses on the etiopathogenesis of AD, thereby advancing efforts to find disease-modifying drugs for AD; and (9) the establishment of infrastructure to allow sharing of all raw and processed data without embargo to interested scientific investigators throughout the world. The ADNI study was extended by a 2-year Grand Opportunities grant in 2009 and a renewal of ADNI (ADNI-2) in October 2010 through to 2016, with enrollment of an additional 550 participants.","url":"https://doi.org/10.1016/j.jalz.2011.09.172","authors":["Michael W. Weiner","Dallas P. Veitch","Paul Aisen","Laurel Beckett","Nigel J. Cairns","Robert C. Green","Danielle Harvey","Clifford R. Jack","William J. Jagust","Enchi Liu","John C. Morris","Ronald C. Petersen","Andrew J. Saykin","Mark E. Schmidt","Leslie M. Shaw","Judith A. Siuciak","Holly Soares","Arthur W. Toga","John Q. Trojanowski","Alzheimer's Disease Neuroimaging Initiative"],"tags":["Neuroimaging","Alzheimer's Disease Neuroimaging Initiative","Biomarker","Medicine","Disease"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2011-11-03","doi":"https://doi.org/10.1016/j.jalz.2011.09.172","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4411431272","name":"Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem","source":"openalex","abstract":"This review explores the transformative architecture of Smart Grid 3.0 by integrating cutting-edge technologies. It presents novel architectural frameworks to transform nanogrid, microgrid, and VPP topologies to their Grid 3.0 counterparts. This study systematically analyzes the application of advanced algorithms and technologies across all hierarchical subsystems—nanogrid 3.0, microgrid 3.0, VPP 3.0, and Smart Grid 3.0. These digital technologies have transformative capabilities. The digital twins can perform real-time monitoring, simulation, and predictive analysis; blockchain ensures secure, decentralized energy transactions; and the metaverse creates immersive, interactive environments for system management. This review also explores the role of AI in power grid which is to optimize energy scheduling, fault detection, and energy management. This paper adds to the literature by systematically addressing subsystems of Smart Grid 3.0, including energy generation, transmission, distribution, communication, and storage. Challenges such as interoperability, scalability, data integrity, and cybersecurity are discussed, and solutions are proposed which highlights the need of interdisciplinary approach. These include cyber-attack detection and mitigation mechanisms, advanced simulation tools, and robust policy frameworks. A thorough review of literature enabled this paper to present practical implementation strategies and real-world examples of digital technologies integrated smart grids. By integrating these technologies across hierarchical energy systems, this study establishes a foundation for future research in transforming conventional smart grid infrastructure into a resilient, efficient, and interconnected cyber-physical energy network called Smart Grid 3.0 as the peak of this evolution so far.","url":"https://doi.org/10.1016/j.rineng.2025.105850","authors":["Herman Zahid","Adil Zulfiqar","Muhammad Adnan","Muhammad Sajid Iqbal","Anwar Shah","Usman Abbasi","Salah Eldeen Gasim Mohamed"],"tags":["Blockchain","Grid","Smart grid","Computer science","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.1016/j.rineng.2025.105850","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3217374479","name":"Digital Twin for Self-Security of Smart Inverters","source":"openalex","abstract":"Smart inverters connected to a communication network are susceptible to man-in-the-middle attacks. In this paper, a self-security approach is implemented using the digital twin concept for smart inverters. The digital twin is formed using the inverter’s normal operating region and the inverter’s dynamic model. Then, the incoming setpoints are autonomously examined using the digital twin, and only the safe setpoints are engaged to the inverter’s local controller. This paper demonstrates how the inverter’s normal operating region and dynamic model are formed. In particular, the normal operation region is experimentally verified by changing the P and Q setpoints engaged to the local controller, using a laboratory setup including a three-phase 1.5-kVA SiC-MOSFET inverter and a 12-kW NHR 9410 regenerative power grid emulator. The results demonstrate that the self-security technique can potentially protect inverters from man-in-the-middle attacks by examining the incoming commands (new setpoints) using the inverter’s digital twin before engaging the setpoints to the local controller.","url":"https://doi.org/10.1109/ecce47101.2021.9595087","authors":["Tareq Hossen","Mehmetcan Gursoy","Behrooz Mirafzal"],"tags":["Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-10","doi":"https://doi.org/10.1109/ecce47101.2021.9595087","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4404668797","name":"Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM","source":"openalex","abstract":"As an emerging technology, digital twin (DT) is increasingly valued in bridge management for its potential to optimize asset operation and maintenance (O&M). However, traditional bridge management systems (BMS) and existing DT applications typically rely on standalone building information modeling (BIM) or geographic information system (GIS) platforms, with limited integration between BIM and GIS or consideration for their underlying graph structures. This study addresses these limitations by developing an integrated DT system that combines WebGIS, WebBIM, and graph algorithms within a three-layer architecture. The system design includes a common data environment (CDE) to address cross-platform compatibility, enabling real-time monitoring, drone-enabled inspection, maintenance planning, traffic diversion, and logistics optimization. Additionally, it features an adaptive data structure incorporating JSON-based bridge defect information modeling and triple-based roadmap graphs to streamline data management and decision-making. This comprehensive approach demonstrates the potential of DTs to enhance bridge O&M efficiency, safety, and decision-making. Future research will focus on further improving cross-platform interoperability to expand DT applications in infrastructure management.","url":"https://doi.org/10.3390/buildings14123731","authors":["Yan Gao","Guanyu Xiong","Ziyu Hu","Chengzhang Chai","Haijiang Li"],"tags":["Building information modeling","Interoperability","Bridge (graph theory)","Systems engineering","Geographic information system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-23","doi":"https://doi.org/10.3390/buildings14123731","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4291993293","name":"Contextualisation of information in digital twin processes","source":"openalex","abstract":"Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information that arises from the data. Trust, as it is defined here, will typically be built from several contributory sources. While there are both quantitative and qualitative sources of trust, this paper focuses on the qualitative aspects of trust via the transparency of the algorithmic process that is available in the crystal-box modelling. The crystal-box idea is also extended to include the concept of a ‘crystal-box workflow’. The key idea is that in order to assist the user of the digital twin to interpret the results they are presented with, via the digital twin interface, the information needs to be contextualised. This work shows an example of how this can be done for a vibration testing (specifically modal testing) example on a scaled three-storey structure. The information is contextualised for the user via ‘profiles’, which collate and augment the processed information together. In particular, synthetic results are generated in order to augment a limited set of physically recorded data, and these synthetic results are then used to assist the user in contextualising the physically recorded data. Implementation results are shown using an open-source digital twin code called DTOP-Cristallo.","url":"https://doi.org/10.1016/j.ymssp.2022.109657","authors":["Matthew S. Bonney","Marco de Angelis","Mattia Dal Borgo","David Wagg"],"tags":["Computer science","Workflow","Transparency (behavior)","Process (computing)","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-16","doi":"https://doi.org/10.1016/j.ymssp.2022.109657","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4379135088","name":"Digital Twin Computing Initiative","source":"openalex","abstract":"Digital twins, which connect the real world with cyberspace, have been achieved through advances in the Internet of Things and other information and communication technologies. NTT announced its Digital Twin Computing Initiative in June 2019 This article provides an overview of this initiative, describes the scope of its application, and presents its architecture and main issues surrounding implementation.","url":"https://doi.org/10.53829/ntr202009fa1","authors":["Takao Nakamura"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-09-01","doi":"https://doi.org/10.53829/ntr202009fa1","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2990546359","name":"A review on fluid dynamics of flapping foils","source":"openalex","abstract":"The fluid dynamics of flapping foils are reviewed in this article. A very wide range of researches are conducted for the two-dimensional flapping foil which has a relatively simple geometry. However, for a three-dimensional foil, the aspect ratio and shape take effects and completely distinct fluid dynamics are revealed compared with the two-dimensional one. This review gives a summary on the experimental techniques and numerical methods used in the researches on the fluid dynamics of flapping foils. The effects of some key parameters including Reynolds number, reduced frequency, flapping amplitude and three-dimensional effect on the fluid dynamics of flapping foils are reviewed. The researches focusing on the wake structures, aero/hydrodynamic characteristics and energy harvesting efficiency are discussed. Finally, some conclusions are drawn and potential future research directions are recommended.","url":"https://doi.org/10.1016/j.oceaneng.2019.106712","authors":["Xia Wu","Xiantao Zhang","Xinliang Tian","Xin Li","Wenyue Lu"],"tags":["Flapping","Reynolds number","FOIL method","Fluid dynamics","Aerodynamics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-28","doi":"https://doi.org/10.1016/j.oceaneng.2019.106712","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2794704627","name":"Discordant congenital Zika syndrome twins show differential in vitro viral susceptibility of neural progenitor cells","source":"openalex","abstract":"Congenital Zika syndrome (CZS) causes early brain development impairment by affecting neural progenitor cells (NPCs). Here, we analyze NPCs from three pairs of dizygotic twins discordant for CZS. We compare by RNA-Seq the NPCs derived from CZS-affected and CZS-unaffected twins. Prior to Zika virus (ZIKV) infection the NPCs from CZS babies show a significantly different gene expression signature of mTOR and Wnt pathway regulators, key to a neurodevelopmental program. Following ZIKV in vitro infection, cells from affected individuals have significantly higher ZIKV replication and reduced cell growth. Whole-exome analysis in 18 affected CZS babies as compared to 5 unaffected twins and 609 controls excludes a monogenic model to explain resistance or increased susceptibility to CZS development. Overall, our results indicate that CZS is not a stochastic event and depends on NPC intrinsic susceptibility, possibly related to oligogenic and/or epigenetic mechanisms.","url":"https://doi.org/10.1038/s41467-017-02790-9","authors":["Luiz C. Caires-Júnior","Ernesto Goulart","Uirá Souto Melo","Bruno Henrique Silva Araújo","Lucas Alvizi","Alessandra Soares‐Schanoski","Danyllo Oliveira","Gerson Shigeru Kobayashi","Karina Griesi‐Oliveira","Camila Manso Musso","Murilo Sena Amaral","Lucas F. daSilva","Renato Mancini Astray","Sandra Fernanda Suárez-Patiño","Daniella C. Ventini","Sérgio Gomes da Silva","Guilherme Lopes Yamamoto","Suzana Ezquina","Michel Satya Naslavsky","Kayque A. Telles-Silva","Karina Weinmann","Vanessa van der Linden","Hélio van der Linden","João Ricardo Mendes de Oliveira","Nívia Maria Rodrigues Arrais","Adriana Melo","Thalita Figueiredo","Silvana Santos","Joanna Góes Castro Meira","Saulo Duarte Passos","Roque Pacheco de Almeida","Ana Jovina Barreto Bispo","Ésper A. Cavalheiro","Jorge Kalil","Edécio Cunha‐Neto","Helder I. Nakaya","Robert Andreata‐Santos","Luís Carlos de Souza Ferreira","Sergio Verjovski‐Almeida","Paulo Lee Ho","Maria Rita Passos‐Bueno","Mayana Zatz"],"tags":["Epigenetics","Zika virus","Neural stem cell","Biology","Progenitor cell"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-29","doi":"https://doi.org/10.1038/s41467-017-02790-9","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4400593610","name":"Machine learning-based digital twin of a conveyor belt for predictive maintenance","source":"openalex","abstract":"Abstract The problem of achieving a good maintenance plan is well-known in the modern industry. One of the most promising approaches is predictive maintenance, which schedules interventions based on predictions made by collecting and analyzing data from the process. However, to the best of the authors’ knowledge, this approach is still not widespread and known enough, and particularly, the real-case scenarios of its application appear not exhaustive. To contribute to fill this gap, this work proposes a digital twin (DT), which performs a predictive maintenance approach for a conveyor belt within a real-case scenario with the overall goal of predicting faults during normal belt operations. Specifically, the core of the implemented DT is a model that analyzes the data collected by various sensors distributed along the conveyor belt. In turn, this model exploits a machine learning-based algorithm that predicts the insurgence of faults. The tests of the developed solution, conducted within a real scenario, demonstrated good precision and accuracy in identifying the fault status and also in a time deemed acceptable for the involved stakeholders.","url":"https://doi.org/10.1007/s00170-024-14097-3","authors":["Valerio Pulcini","Gianfranco E. Modoni"],"tags":["Predictive maintenance","Process (computing)","Plan (archaeology)","Engineering","Exploit"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.1007/s00170-024-14097-3","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3035003368","name":"Towards a Distributed Digital Twin of the Agricultural Landscape","source":"openalex","abstract":"Agricultural landscapes form a complex system of interacting and changing elements and subsystems.They involve stakeholders from varying disciplines each with their own resources and perspectives.Understanding and working with such a complex system requires a comprehensive description of the whole ecosystem and an approach that enables interoperable and cross-scale management of distributed information resources.We introduce a concept that we call the Distributed Digital Twin of the agricultural landscape, which handles the distributed nature of resources over different stakeholders and platforms while providing a basis for integrating both pre-existing, historical and realtime information for physical things such as landscape objects.","url":"https://doi.org/10.14627/537690019","authors":["Mandana Moshrefzadeh","Thomas Machl","David Gackstetter","Andreas Donaubauer","Thomas H. Kolbe"],"tags":["Interoperability","Digital ecosystem","Computer science","Scale (ratio)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.14627/537690019","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4295206789","name":"Digital Twins for Real-Time Scenario Analysis during Well Construction Operations","source":"openalex","abstract":"Well construction is a complex multi-step process that requires decision-making at every step. These decisions, currently made by humans, are inadvertently influenced by past experiences and human factor issues, such as the situational awareness of the decision-maker. This human bias often results in operational inefficiencies or safety and environmental issues. While there are approaches and tools to monitor well construction operations, there are none that evaluate potential action sequences and scenarios and select the best possible sequence of actions. This paper defines a generalized iterative methodology for setting up a digital twin to address this shortcoming. Depending on its application, the objectives and constraints around the twin are formulated. The digital twin is then built using a cyclical process of defining the required outputs, identifying and integrating the necessary process models, and aggregating the required data streams. The twin is set up such that it is predictive in nature, thus enabling scenario analysis. The method is demonstrated here by setting up twinning systems for two different categories of problems. First, an integrated multi-model twin to replicate borehole cleaning operations for stuck-pipe prevention is developed and tested. Second, the creation, implementation, and testing of a twinning system for assisting with operational planning and logistics is demonstrated by considering the time it takes to drill a well to total depth (TD). These twins are also used to simulate multiple future scenarios to quantify the effects of different actions on eventual outcomes. Such systems can help improve operational performance by allowing more informed human, as well as automated, decision-making. Development of a system for well construction operations that integrates multiple sources of information with process and equipment models to quantify the system state and analyzes different scenarios by evaluating action sequences is a novel contribution of this paper. The approach presented here can be applied to the construction of digital twins for any well construction operation.","url":"https://doi.org/10.3390/en15186584","authors":["Gurtej Singh Saini","AmirHossein Fallah","Pradeepkumar Ashok","Eric van Oort"],"tags":["Situation awareness","Process (computing)","Computer science","Set (abstract data type)","Replicate"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-08","doi":"https://doi.org/10.3390/en15186584","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4210380414","name":"Development of FEM-based digital twins for machining difficult-to-cut materials: A roadmap for sustainability","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2022.01.027","authors":["Ribeiro-Carvalho Sílvia","Carlos Henrique Lauro","Ana Horovistiz","J. Paulo Davim"],"tags":["Machining","Coolant","Finite element method","Mechanical engineering","Nozzle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-29","doi":"https://doi.org/10.1016/j.jmapro.2022.01.027","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4321617062","name":"Digital Twins for Construction Projects—Developing a Risk Systematization Approach to Facilitate Anomaly Detection in Smart Buildings","source":"openalex","abstract":"This study aims to analyze and discuss the risks facing construction projects by reviewing some of the processes and procedures that address risks through the use of the digital twin technology. The paper studies generic risks and their treatment, and it develops a proposal for risk management systematization using the Digital Twin for Construction Projects approach, previously developed by the authors. It addresses how to classify risks so that the digital system is fed with the proper information and data, which is based on processing and analysis, to reach understandable decisions and overcome anomalies. The research reached a set of results, the most prominent of which is that the digital twin can be used to enhance risk management in construction projects through adapted techniques such as the ones proposed in the paper; namely, a risk treatment procedure and a custom risk matrix. In addition, risk management treated according to a digital approach helps to improve the prediction capabilities, and this helps human decision-makers to avoid potential unplanned costs and failures, and to maximize efficiency. The study also recommends new investigations in the field of safeguarding shared information and data to protect from intentional and accidental mismanagement in order to reach a comprehensive digital system.","url":"https://doi.org/10.3390/telecom4010009","authors":["Tareq Salem","Mihai Dragomir"],"tags":["Risk analysis (engineering)","Safeguarding","Set (abstract data type)","Risk management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-23","doi":"https://doi.org/10.3390/telecom4010009","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4318620358","name":"Digital twin-based multi-level task rescheduling for robotic assembly line","source":"openalex","abstract":"Assembly is a critical step in the manufacturing process. Robotic assembly technology in automatic production lines has greatly improved the production efficiency. However, in assembly process, dynamic disturbances such as processing time change and advance delivery may occur, which cause the scheduling deviation. Traditional scheduling methods are not sufficient to meet the real-time and adaptive requirements in smart manufacturing. Digital twin (DT) has the characteristics of virtual-reality interaction and real-time mapping. In this paper, we propose a DT-based framework of task rescheduling for robotic assembly line (RAL) and its key methodologies, thus to realize the timely and dynamic adjustment of scheduling plan under uncertain interferences. First, a DT model of RAL task rescheduling composed of physical entity (PE), virtual entity (VE), and virtual-reality interaction mechanism is proposed. Then, a mathematical model is established. By analyzing the adaptive objective thresholds from the perspectives of event trigger and user demand trigger, a DT-driven multi-level (production unit level and line level) rescheduling strategy is proposed. Taking both the computing time and solution quality into consideration, the precedence graph is introduced to propose a rescheduling approach based on an improved discrete fireworks algorithm. Finally, the effectiveness of the proposed model and approach are verified by task scheduling experiments of RAL.","url":"https://doi.org/10.1038/s41598-023-28630-z","authors":["Bitao Yao","Wenjun Xu","Tong Shen","Xun Ye","Sisi Tian"],"tags":["Computer science","Scheduling (production processes)","Real-time computing","Production line","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-31","doi":"https://doi.org/10.1038/s41598-023-28630-z","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4401769410","name":"State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries","source":"openalex","abstract":"Digital twin (DT) technology is increasingly recognised for its potential to transform the manufacturing industry, particularly in assembly automation. By offering real-time insights and optimisation capabilities, DTs enhance efficiency, reduce costs, and improve product quality. This paper critically reviews DT-enabled smart factories in assembly automation, aiming to evaluate the current state, identify common practices, and propose a taxonomy for standardisation. The taxonomy outlines key factors in DT-enabled systems, including data sources, visualisation, applications, functional outputs, digital coupling, and IoT protocols. These classifiers help navigate the complex frameworks of DTs, guiding the design and implementation of assembly automation systems. Through a comprehensive analysis of 60 key publications, the review categorises DT objectives, propositions, and implementation technologies, identifying common themes and addressing gaps in current research. The findings emphasise the importance of integrating DTs with existing systems, ensuring reliability and security in data-driven DTs, and pursuing sustainable solutions beyond energy-intensive industries. This review not only informs future research but also provides a framework to guide industry practices in the development of DT-enabled assembly automation systems.","url":"https://doi.org/10.1080/0951192x.2024.2387775","authors":["Louie Webb","Osman Tokhi","Buğra Alkan"],"tags":["Automation","Computer science","Industry 4.0","Systems engineering","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-21","doi":"https://doi.org/10.1080/0951192x.2024.2387775","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4386249450","name":"Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things","source":"openalex","abstract":"In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in enabling smart connected environments. This includes various domains such as smart homes, smart healthcare, smart cities, smart vehicles, and many others. The IoT facilitates the integration and interconnection of devices, enabling them to communicate, share data, and work together to create intelligent and efficient systems. With ubiquitous smart connected devices and systems, a large amount of data associated with them is at a prime risk from malicious entities (e.g., users, devices, applications) in these systems. Innovative technologies, including cloud computing, Machine Learning (ML), and data analytics, support the development of anomaly detection models for the Vehicular Internet of Things (V-IoT), which encompasses collaborative automatic driving and enhanced transportation systems. However, traditional centralized anomaly detection models fail to provide better services for connected vehicles due to issues such as high latency, privacy leakage, performance overhead, and model drift.","url":"https://doi.org/10.1145/3599957.3606250","authors":["Deepti Gupta","Shafika Showkat Moni","Ali Şaman Tosun"],"tags":["Computer science","Cloud computing","Anomaly detection","Smart city","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-06","doi":"https://doi.org/10.1145/3599957.3606250","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4312601694","name":"Improving industrial sustainability by the use of digital twin models in maintenance and production activities","source":"openalex","abstract":"The industrial world is undergoing a digitalization process, in which information and communication technologies bring new opportunities for sustainable development. The Digital Twin (DT) technology is mentioned in the literature as one of the main tools to support production and maintenance activities and can effectively contribute to the achievement of sustainability goals. The aim of this study is to investigate, through the results of a systematic literature review, the state-of-the-art and the opportunities that the adoption of DT technology can bring for the realization of sustainable industrial maintenance and production activities. The review results show a growing interest in this field of research, in which, the DT has been applied in different industrial sectors, and considers a variety of maintenance and production activities. Furthermore, this paper investigates how the sustainability issue is addressed by the current DT literature and a list of the sustainability criteria considered with the respective frequency of use was provided. This study reveals that the economic dimension of sustainability is the most considered, followed by the environmental dimension, and lastly by the social dimension. Moreover, the majority of the analysed studies explore few sustainability issues: energy cost and efficiency are the most frequently used criteria in sustainable maintenance and production.","url":"https://doi.org/10.1016/j.ifacol.2022.09.215","authors":["Chiara Franciosi","Salvatore Miranda","Ciele Resende Veneroso","Stefano Riemma"],"tags":["Sustainability","Production (economics)","Dimension (graph theory)","Variety (cybernetics)","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.09.215","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2905405189","name":"Additive Manufacturing of High-Entropy Alloys: A Review","source":"openalex","abstract":"Owing to the reduced defects, low cost, and high efficiency, the additive manufacturing (AM) technique has attracted increasingly attention and has been applied in high-entropy alloys (HEAs) in recent years. It was found that AM-processed HEAs possess an optimized microstructure and improved mechanical properties. However, no report has been proposed to review the application of the AM method in preparing bulk HEAs. Hence, it is necessary to introduce AM-processed HEAs in terms of applications, microstructures, mechanical properties, and challenges to provide readers with fundamental understanding. Specifically, we reviewed (1) the application of AM methods in the fabrication of HEAs and (2) the post-heat treatment effect on the microstructural evolution and mechanical properties. Compared with the casting counterparts, AM-HEAs were found to have a superior yield strength and ductility as a consequence of the fine microstructure formed during the rapid solidification in the fabrication process. The post-treatment, such as high isostatic pressing (HIP), can further enhance their properties by removing the existing fabrication defects and residual stress in the AM-HEAs. Furthermore, the mechanical properties can be tuned by either reducing the pre-heating temperature to hinder the phase partitioning or modifying the composition of the HEA to stabilize the solid-solution phase or ductile intermetallic phase in AM materials. Moreover, the processing parameters, fabrication orientation, and scanning method can be optimized to further improve the mechanical performance of the as-built-HEAs.","url":"https://doi.org/10.3390/e20120937","authors":["Shuying Chen","Yang Tong","Peter K. Liaw"],"tags":["High entropy alloys","Materials science","Fabrication","Microstructure","Hot isostatic pressing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-12-06","doi":"https://doi.org/10.3390/e20120937","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2888770548","name":"High Precision Reducers for Industrial Robots Driving 4th Industrial Revolution: State of Arts, Analysis, Design, Performance Evaluation and Perspective","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40684-018-0058-x","authors":["Anh‐Duc Pham","Hyeong-Joon Ahn"],"tags":["Reducer","Robot","Industrial robot","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-08-01","doi":"https://doi.org/10.1007/s40684-018-0058-x","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4404762334","name":"Digital Tourism and Smart Development: State-of-the-Art Review","source":"openalex","abstract":"The intersection between digital technologies and tourism emerges as a prominent area of research within the tourism industry. This is primarily driven by the immense complexity of digital tourism itself as a multifaceted social, economic, and cultural phenomenon. This paper reveals the future implications of tourism in the context of digital intelligence. To gain insights into the latest applications of digital tourism, this work reviews 278 studies spanning from 2012 to 2024. A systematic literature analysis method is proposed to identify the research hotspots and trends. Through value co-creation theory and Schumpeter’s innovation theory, five key trajectories are suggested, as follows: in-depth application of digital technologies in tourism, spawning new scenarios, new forms and new modes of digital tourism, and deep integration of digital economy and tourism real economy. This state-of-the-art review will help to reflect the efforts towards promoting the smart development of digital technologies in tourism.","url":"https://doi.org/10.3390/su162310382","authors":["Wenshuai Wu","Chang Xu","Meng Zhao","Xiuping Li","Rob Law"],"tags":["Tourism","State (computer science)","Development (topology)","Architectural engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-27","doi":"https://doi.org/10.3390/su162310382","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4310382990","name":"A Framework to Develop Urban Aerial Networks by Using a Digital Twin Approach","source":"openalex","abstract":"The new concept of Urban Air Mobility (UAM) and the emergent unmanned aerial vehicles are receiving more and more attention by several stakeholders for implementing new transport solutions. However, there are several issues to solve in order to implement successful UAM systems. Particularly, setting a suitable framework is central for including this new transportation system into the existing ones—both ground and aerial systems. Regulation and definition of aerial networks, but also the characterization of ground facilities (vertiports) to allow passengers and freight to access the services are among the most relevant issues to be discussed. To identify UAM transportation networks, suitably connected with ground transportation services, digital twin models could be adopted to support the modelling and simulation of existing—and expected—scenarios with constantly updated data for identifying solutions addressing the design and management of transport systems. In this perspective, a digital twin model applied to an existing urban context—the city of Bologna, in northern Italy—is presented in combination with a novel air transport network that includes the third dimension. The 3D Urban Air Network tries to satisfy the principle of linking origin/destination points by ensuring safe aerial paths and suitable aerial vehicle separations. It involves innovative dynamic links powered by a heuristic cost function. This work provides the initial framework to explore the integration of UAM services into realistic contexts, by avoiding the costs associated with flight simulations in reality. Moreover, it can be used for holistic analyses of UAM systems.","url":"https://doi.org/10.3390/drones6120387","authors":["Matteo Brunelli","Chiara Caterina Ditta","Maria Nadia Postorino"],"tags":["Context (archaeology)","Computer science","Heuristic","Transport engineering","Function (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-29","doi":"https://doi.org/10.3390/drones6120387","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4399297405","name":"Digital twin on concepts, enabling technologies, and applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40430-024-04973-0","authors":["Zhang Bing","Michael Enyan","Jesse Nii Okai Amu‐Darko","Eliasu Issaka","Hongyu Liu","Rao Junsen","Xinxing Zhang"],"tags":["Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-03","doi":"https://doi.org/10.1007/s40430-024-04973-0","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2997918385","name":"Construction 4.0 – Digital Transformation of One of the Oldest Industries","source":"openalex","abstract":"In the early 2010s, the German industry started their reform and revival under the keyword \"Industrie Vier Punkt Null\". The European Union’s strategies adopted most of the ideas and member states followed. The European construction industry too stared to explore how to benefit from it. In this review paper, we explain the ideas behind Industry 4.0. We present aspects of Industry 4.0: what it means for the customer, business and industry as a whole. Based on that framework we analysed the potentials of Industry 4.0 in the construction industry and where – due to some specifics of the industry – construction is actually ahead in adopting the Industry 4.0 concepts.","url":"https://doi.org/10.15458/ebr.92","authors":["Robert Klinc","Žiga Turk"],"tags":["German","Construction industry","European union","Digital transformation","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-20","doi":"https://doi.org/10.15458/ebr.92","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3166349293","name":"Artificial intelligence enhanced interaction in digital twin shop-floor","source":"openalex","abstract":"As an enabling technology for smart manufacturing, digital twin has been widely applied in manufacturing shop-floor. A great deal of research focuses on the key issues in implementing digital twin shop-floor (DTS), including scheduling, production planning, fault diagnosis and prognostics. However, DTS puts forward higher requirements in terms of real-time interaction. Artificial intelligence (AI), as an effective approach to improve the intelligence of the physical shop-floor, provides a new method to meet the above requirements. In this paper, a framework of AI-enhanced DTS in interaction is proposed. AI-enhanced DTS improves the real-time interaction through predictive control. The implementation mechanism of AI-enhanced interaction in DTS is also presented in detail. Enabling technologies for interaction in DTS are introduced at last.","url":"https://doi.org/10.1016/j.procir.2021.05.031","authors":["Xin Ma","Jiangfeng Cheng","Qinglin Qi","Fei Tao"],"tags":["Scheduling (production processes)","Prognostics","Key (lock)","Computer science","Production planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.05.031","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4380270805","name":"Disruptive digital innovations in healthcare: Knowing the past and anticipating the future","source":"openalex","abstract":"The twin focus on healthcare and digital transformation during the past two decades, which was intensified by the COVID-19 pandemic to an unanticipated level, has resulted in the mushrooming of literature in the area. While this has enriched the available insights, it has also created a certain amount of confusion, and there is now a need to make sense of what has been achieved before undertaking research that contributes more meaningfully to theory and practice in the area. Motivated by this need, we systematically analyze and evaluate the existing empirical research on the topic of disruptive digital innovations in healthcare. We followed a five-step approach to identify and analyze 42 congruent studies spread across domains, publishers, and geographies to achieve our objective. The outcome of our review is a conceptual framework that could serve to motivate and support future research. First, we presented a bibliographic sketch of the literature to clarify the milieu and descriptives. Next, we performed content analysis to organize the existing evidence into meaningful streams. Towards this end, we followed a structured approach to the review by defining the scope through a matrix–form conceptual framework to guide thematic analysis. Accordingly, we reported on the findings from three perspectives—theoretical, enabler, and barrier—anchoring them in four innovation implementations/outcomes: products, services, processes, and business models. Our analysis suggests that existing scholarship has drawn upon various interdisciplinary theories to map the enablers as well as the barriers that may inhibit the adoption and usage of these disruptive innovations. Based on the findings of our structured approach, we offer useful recommendations to advance research and practice in this field.","url":"https://doi.org/10.1016/j.technovation.2023.102785","authors":["Umesh Bamel","Shalini Talwar","Vijay Pereira","Laura Corazza","Amandeep Dhir"],"tags":["Scope (computer science)","Knowledge management","Thematic analysis","Conceptual framework","Health care"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-10","doi":"https://doi.org/10.1016/j.technovation.2023.102785","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4280611546","name":"A Review on Hot Stamping of Advanced High-Strength Steels: Technological-Metallurgical Aspects and Numerical Simulation","source":"openalex","abstract":"The production of ultra-high strength automotive components requires a multi-directional approach. Hot stamping combines both forming and heat treatment processes to obtain a usually martensitic structure of complicated shaped automotive parts. The preparation for production using hot stamping must involve the latest methods of numerical analysis of both temperature changes and forming, which are applied for an increasing range of materials used. In this paper, the current state of knowledge about the basics of hot stamping, used technological lines, and the current state of material used with applied heat treatments and possible coatings have been reviewed. Moreover, the numerical modeling process has been described. The most important aspects of process automation, including the use of digital twins for simulation and optimization of operational kinetics of the robots accomplishing the production process, analysis and minimization of time of production cycles, and searching for weak operational points of the control systems and for real time visualization of operation of complete line, are considered. The digital twins and corresponding numerical models enable the symmetrical design of real production lines. The details of heat treatment profiles with so called tailored zone heat treatment are provided. Hot stamping is a dynamically developing technology as evidenced by the increasing range of materials used, also from the 3rd generation of advanced high strength (AHSS) steels. It starts to combine forming of symmetric or asymmetric elements with more complex heat treatment processes as required for dual phase (DP) stainless steels or the newest generation of high-strength and ductile medium-manganese steels.","url":"https://doi.org/10.3390/sym14050969","authors":["Ireneusz Wróbel","Adam Skowronek","Adam Grajcar"],"tags":["Hot stamping","Automotive industry","Stamping","Mechanical engineering","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-09","doi":"https://doi.org/10.3390/sym14050969","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387083249","name":"Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review","source":"openalex","abstract":"BACKGROUND: Unaddressed early-stage mental health issues, including stress, anxiety, and mild depression, can become a burden for individuals in the long term. Digital phenotyping involves capturing continuous behavioral data via digital smartphone devices to monitor human behavior and can potentially identify milder symptoms before they become serious. OBJECTIVE: This systematic literature review aimed to answer the following questions: (1) what is the evidence of the effectiveness of digital phenotyping using smartphones in identifying behavioral patterns related to stress, anxiety, and mild depression? and (2) in particular, which smartphone sensors are found to be effective, and what are the associated challenges? METHODS: We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) process to identify 36 papers (reporting on 40 studies) to assess the key smartphone sensors related to stress, anxiety, and mild depression. We excluded studies conducted with nonadult participants (eg, teenagers and children) and clinical populations, as well as personality measurement and phobia studies. As we focused on the effectiveness of digital phenotyping using smartphones, results related to wearable devices were excluded. RESULTS: We categorized the studies into 3 major groups based on the recruited participants: studies with students enrolled in universities, studies with adults who were unaffiliated to any particular organization, and studies with employees employed in an organization. The study length varied from 10 days to 3 years. A range of passive sensors were used in the studies, including GPS, Bluetooth, accelerometer, microphone, illuminance, gyroscope, and Wi-Fi. These were used to assess locations visited; mobility; speech patterns; phone use, such as screen checking; time spent in bed; physical activity; sleep; and aspects of social interactions, such as the number of interactions and response time. Of the 40 included studies, 31 (78%) used machine learning models for prediction; most others (n=8, 20%) used descriptive statistics. Students and adults who experienced stress, anxiety, or depression visited fewer locations, were more sedentary, had irregular sleep, and accrued increased phone use. In contrast to students and adults, less mobility was seen as positive for employees because less mobility in workplaces was associated with higher performance. Overall, travel, physical activity, sleep, social interaction, and phone use were related to stress, anxiety, and mild depression. CONCLUSIONS: This study focused on understanding whether smartphone sensors can be effectively used to detect behavioral patterns associated with stress, anxiety, and mild depression in nonclinical participants. The reviewed studies provided evidence that smartphone sensors are effective in identifying behavioral patterns associated with stress, anxiety, and mild depression.","url":"https://doi.org/10.2196/40689","authors":["Adrien Choi","Aysel Ooi","Danielle Lottridge"],"tags":["Preprint","Anxiety","Depression (economics)","Psychology","Clinical psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-27","doi":"https://doi.org/10.2196/40689","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4296704799","name":"From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy","source":"openalex","abstract":"Survivors of myocardial infarction are at risk of life-threatening ventricular tachycardias (VTs) later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) implantation to prevent VT-related sudden cardiac death is solely based on symptoms and left ventricular ejection fraction. Catheter ablation of scar-related VTs is performed following ICD therapy, reducing VTs, painful shocks, anxiety, depression and worsening heart failure. We postulate that better prediction of the occurrence and circuit of VT, will improve identification of patients at risk for VT and boost preventive ablation, reducing mortality and morbidity. For this purpose, multiple time-evolving aspects of the underlying pathophysiology, including the anatomical substrate, triggers and modulators, should be part of VT prediction models. We envision digital twins as a solution combining clinical expertise with three prediction approaches: evidence-based medicine (clinical practice), data-driven models (data science) and mechanistic models (biomedical engineering). This paper aims to create a mutual understanding between experts in the different fields by providing a comprehensive description of the clinical problem and the three approaches in an understandable manner, leveraging future collaborations and technological innovations for clinical decision support. Moreover, it defines open challenges and gains for digital twin solutions and discusses the potential of hybrid modelling.","url":"https://doi.org/10.1098/rsif.2022.0317","authors":["Anouk G. W. de Lepper","Carlijn M. A. Buck","Marcel van ’t Veer","Wouter Huberts","Frans N. van de Vosse","Lukas Dekker"],"tags":["Medicine","Ventricular tachycardia","Cardiology","Internal medicine","Myocardial infarction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.1098/rsif.2022.0317","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3168176216","name":"[Retracted] Digital Twin‐Based Ecogreen Building Design","source":"openalex","abstract":"The high operation cost of green building, insufficient informationization and automation management capability, and the lack of effective operation cost control seriously restrict the development of the industry and the realization of green goals. In order to solve the problem of insufficient capability of green building operation cost management, based on the digital twin technology in the manufacturing field, we analyze the characteristic requirements and theoretical basis of green building operation cost management for system, propose a green building operation cost management system based on digital twin, and refine the design of each structural layer of this system. It is necessary to set up a series of lines, although it takes a certain amount of time. There are four types of applications, namely, the number of types of applications, the completion of the effective number, the comparison of functions, and the implementation capabilities. The study shows that the proposed system framework can improve the efficiency and quality of green building operation cost management through technology upgrade and process optimization. The implementation of digital twin and human‐machine collaboration is an advanced stage in the development of digital architecture because virtual things and real things, materials, and numbers are mutually promoting processes. The inspiration of this technological view for architecture is that digital twin and human‐machine collaboration not only allow the interaction between virtual and reality and emphasize the feedback of actual construction to virtual simulation but also promote a kind of mutual promotion of human and machine thinking and construction ability.","url":"https://doi.org/10.1155/2021/1391184","authors":["Yang Liu","Yuhui Sun","Ang Yang","Jing Gao"],"tags":["Computer science","Upgrade","Architecture","Process (computing)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1155/2021/1391184","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3216516833","name":"The Use of Digital Twins in Finite Element for the Study of Induction Motors Faults","source":"openalex","abstract":"Induction motors play a key role in the industrial sector. Thus, the correct diagnosis and classification of faults on these machines are important, even in the initial stages of evolution. Such analysis allows for increased productivity, avoids unexpected process interruptions, and prevents damage to machines. Usually, fault diagnosis is carried out by analyzing the characteristic effects caused by the faults. Thus, it is necessary to know and understand the behavior during the operation of the faulty machine. In general, monitoring these characteristics is complex, as it is necessary to acquire signals from the same motor with and without failures for comparison purposes. Whether in an industrial environment or in laboratories, the experimental characterization of failures can become unfeasible for several reasons. Thus, computer simulation of faulty motors digital twins can be an important alternative for failure analysis, especially in large motors. From this perspective, this paper presents and discusses several limitations found in the technical literature that can be minimized with the implementation of digital twins. In addition, a 3D finite element model of an induction motor with broken rotor bars is demonstrated, and motor current signature analysis is used to verify the fault effects. Results are analyzed in the time and frequency domain. Additionally, an artificial neural network of the multilayer perceptron type is used to classify the failure of broken bars in the 3D model rotor.","url":"https://doi.org/10.3390/s21237833","authors":["Tiago Drummond Lopes","Adroaldo Raizer","Wilson Valente Júnior"],"tags":["Induction motor","Rotor (electric)","Fault (geology)","Process (computing)","Finite element method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-25","doi":"https://doi.org/10.3390/s21237833","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387375767","name":"Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions","source":"openalex","abstract":"Abstract Recently, Digital Twins solutions have attracted a growing interest as a fundamental paradigm for managing data driven processes on smart cities. They are complex modelling that should include 3D interactive representations of buildings and infrastructures, integrated with a wide range of data for Smart City cyber-physical ecosystem monitoring and controlling. This paper presents a framework for modelling, generating and distributing Digital Twin representations with 3D models from a various set of data, as well as its integration into the open-source Smart City framework, where many kinds of real time and historical data are available. The proposed solution offers a method for creating integrated data rendering of 3D city entities coupled with Smart City data (e.g., IoT Devices with time-series and historical data, heatmaps, geometries and shapes related to traffic flows, bus routes/stops, cycling paths). The solution for generating 3D representation is based on a number of computer vision and machine learning solutions, thus shortening the activities of passing from raw data (i.e., Lidar, shapes, patterns, etc.) to 3D representations. Implementation has been enforced into the quite widespread open-source Snap4City Smart City platform and has been validated by using hundreds of buildings in Florence city central area, Italy, plus hundreds of thousands of data as points of interest, IoT Devices, traffic flows, dynamic heatmaps, etc.","url":"https://doi.org/10.1007/s11042-023-16838-0","authors":["Lorenzo Adreani","Pierfrancesco Bellini","Carlo Colombo","Marco Fanfani","Paolo Nesi","Gianni Pantaleo","Riccardo Pisanu"],"tags":["Computer science","Rendering (computer graphics)","Smart city","Representation (politics)","Raw data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-05","doi":"https://doi.org/10.1007/s11042-023-16838-0","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4364365683","name":"Digital twin concepts for linking live sensor data with real-time models","source":"openalex","abstract":"Abstract. For taking most advantage of live or real-time sensor measurements, data have to be processed by a single or even by a chain of models on the fly, in contrast to earlier offline simulation solutions. This requirement can be best met by concepts developed under the general term “digital twin” (DT). The step from the Internet of Things (IoT) to a full exploitation of DT solutions entails new challenges but also provides new features, which we discuss based on our example DT solution for remote monitoring of fruit during ocean transportation. A crucial challenge is the transformation of models into an updateable format, necessary to keep the physical object and its modelled representation in sync. A basic new feature of DTs is new software solutions for easy and flexible linking of different models through a streaming platform by implementing an event-driven architecture. We demonstrate a solution for controlling model execution during multiple life cycle phases of the fruit as physical object. An evaluation of response times showed that server performance is sufficient to handle more than 100 DT instances per second.","url":"https://doi.org/10.5194/jsss-12-111-2023","authors":["Reiner Jedermann","Kunal Singh","Walter Lang","Pramod V. Mahajan"],"tags":["sync","Computer science","Real-time computing","Object (grammar)","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-11","doi":"https://doi.org/10.5194/jsss-12-111-2023","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2972290548","name":"A Holistic System Lifecycle Engineering Approach – Closing the Loop between System Architecture and Digital Twins","source":"openalex","abstract":"This contribution introduces an approach for the optimization of smart products and systems in the early development phases through a Closed-Loop Systems Engineering approach. This approach – holistic in terms of considering the overall system and its usage context, interdisciplinary, overreaching multiple lifecycle phases, and supported methodologically as well as tool-wise – combines aspects from both Model-Based Systems Engineering and Product resp. System Lifecycle Management to optimize the system by using advanced verification and validation methods and techniques, in particular Model-, Twin- and System-in-the-Loop, and seamless feedback of product usage data to the early development phase. This approach has been prototypically applied at the example of a test bed of an autonomous construction area system of systems.","url":"https://doi.org/10.1016/j.procir.2019.04.257","authors":["Thomas Dickopf","Hristo Apostolov","Müller Patrick","Jens C. Göbel","Sven Forte"],"tags":["System lifecycle","Systems engineering","Product lifecycle","Context (archaeology)","Closing (real estate)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2019.04.257","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2922137599","name":"A comprehensive review on hybrid electric vehicles: architectures and components","source":"openalex","abstract":"The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuel-efficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors’ role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability.","url":"https://doi.org/10.1007/s40534-019-0184-3","authors":["Krishna Veer Singh","Hari Om Bansal","Dheerendra Singh"],"tags":["Automotive engineering","Photovoltaic system","Internal combustion engine","Electric motor","Battery (electricity)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-03-08","doi":"https://doi.org/10.1007/s40534-019-0184-3","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4386981014","name":"Bibliometric Review of Building Material Assessment for Energy Efficiency in Urban Digital Twins","source":"openalex","abstract":"The construction sector exerts detrimental environmental impacts on natural ecosystems. Mitigating these impacts and reducing pollution necessitates the adoption of an assessment tool. During the design phase, decisions must factor in building typology, materials, construction techniques, dimensions, functions, and contextual considerations. Crafting solutions that effectively address all these facets presents a formidable challenge. The European Union (EU) advocates for employing the Life Cycle Assessment (LCA) methodology to evaluate environmental impacts in the construction industry. This approach encompasses the entire lifecycle of a product, encompassing production, usage, and disposal stages. However, integrating additional elements such as the urban context and digital twin technologies remains intricate. Given the impending need to enhance energy efficiency in the European building stock through extensive redevelopment, this research aims to identify a robust methodology for selecting optimal building materials. This review seeks to offer an updated perspective encompassing the choice of eco-friendly building materials and the incorporation of digital twin technologies, which facilitate real-time building assessments. By amalgamating insights derived from this analysis, this research strives to contribute to a holistic framework that addresses the multifaceted aspects of sustainable construction. Such a framework would streamline the selection of environmentally conscious building materials while harnessing the potential of digital twin methodologies for rapid and precise building evaluations. Ultimately, this research aspires to bridge critical gaps in sustainable practices within the construction sector, aligning with the EU's overarching objectives of promoting greener and more efficient built environments.","url":"https://doi.org/10.55529/ijasm.35.22.32","authors":["Angelica Rocco"],"tags":["Context (archaeology)","European union","Life-cycle assessment","Sustainable products","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-13","doi":"https://doi.org/10.55529/ijasm.35.22.32","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4402212402","name":"Government in the digital age: Exploring the impact of digital transformation on governmental efficiency","source":"openalex","abstract":"This study introduces a novel production network model to analyze how digital transformation influences different sectors within the government. Unlike previous research, which often views digital government as a singular entity, our approach dissects the specific impact of digital transformation on various government departments and their contributions to overall governmental efficiency. By employing text analysis and empirical models, we assess the degree of digital transformation across government departments from 2012 to 2022, revealing that such transformations enhance governmental efficiency. Furthermore, our findings highlight the critical role of coordinated digital transformation efforts in amplifying overall efficiency. This research not only provides a fresh theoretical framework for understanding digital government but also offers actionable recommendations for optimizing resource allocation and strategizing digital initiatives to drive governmental progress. • The impact of digital transformation in government departments • Digital transformation enhances government efficiency. • Textual analysis measures digital transformation. • High coordination significantly boosts efficiency.","url":"https://doi.org/10.1016/j.techfore.2024.123722","authors":["Cunyi Yang","Mingrui Gu","Khaldoon Albitar"],"tags":["Digital transformation","Transformation (genetics)","Government (linguistics)","Digital government","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-04","doi":"https://doi.org/10.1016/j.techfore.2024.123722","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4289812599","name":"Physics-driven digital twins to quantify the impact of pre- and postharvest variability on the end quality evolution of orange fruit","source":"openalex","abstract":"Currently, there are differences in the quality loss between individual fruit upon arrival at retail. These differences in fruit quality stem from pre-harvest biological variability between individual fruit at harvest and postharvest variations in hygrothermal conditions between refrigerated shipments. The impact of these pre-harvest biological and postharvest variability on the final quality of each fruit that reaches the consumers remains largely uncharted. In this study, we addressed this knowledge gap by developing physics-based digital twins of orange fruit to unveil how pre-harvest and postharvest variability affect the final fruit quality upon arrival at retail. Markov chain Monte Carlo method was used to generate a realistic 'virtual' population of 1000 individual orange fruits at harvest. Afterwards, the impact of pre-harvest biological variability and variations in hygrothermal conditions between shipments on several orange quality metrics, including mass loss, fruit quality index (FQI), remaining shelf life (RSL), chilling injury severity (CI), total soluble solids (TSS), color, and Mediterranean fruit fly (MFF) mortality was quantified. Results showed that pre-harvest biological variability causes variations in mass loss of oranges at retail by up to 1.2%, FQI by up to 5% and RSL by more than 2 days. The postharvest variability between shipments causes high variations in mass loss of oranges at retail by up to 4%, FQI by more than 20%, RSL up to 3 days, and CI up to 5%. The study also revealed that compared to pre-harvest biological variability, postharvest variability between shipments could increase the variations in RSL of oranges at retail by 75%, FQI by 50%, and mass loss by ∼10%. This work helps improve our understanding of the variability in the end fruit quality upon arrival at retail.","url":"https://doi.org/10.1016/j.resconrec.2022.106585","authors":["Daniel Onwude","Flora Bahrami","Chandrima Shrivastava","Tarl Berry","Paul Cronjé","Jade North","Nicola Kirsten","Seraina Schudel","Eleonora Crenna","Kanaha Shoji","Thijs Defraeye"],"tags":["Postharvest","Orange (colour)","Horticulture","Biology","Environmental science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-04","doi":"https://doi.org/10.1016/j.resconrec.2022.106585","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3004091368","name":"Concept and Implementation of a Cyber-Pbysical Digital Twin for a SMT Line","source":"openalex","abstract":"This paper conducted research on the concept design and implementation of a cyber-physical digital twin system for manufacturing. Based on literature reviews and industry requirements for a cyber-physical digital twin system for manufacturing, this paper proposed a concept design architecture of a cyber-physical digital twin system and its implementation methodology. An application of building a cyber-physical digital twin system for a Surface-Mounted-Technology (SMT) line is illustrated based on the proposed concept and framework. The basic requirements of the proposed cyber-physical digital twin system are divided into three layers, i.e. operations layer, visualization layer, and intelligence layer. Operations layer is about systems modeling of the physical processes and establishing connections with the cyberspace. Visualization layer is related to the collection and displaying of the historical and present data in a visual manner. The intelligence layer is the ability to conduct data analytics and decision makings to identify patterns and bottlenecks, reduce waste, perform predictive maintenance, etc. A proof of the concept prototype is developed based on the proposed cyber-physical digital twin system for a SMT line.","url":"https://doi.org/10.1109/ieem44572.2019.8978620","authors":["Weidong Lin","Malcolm Yoke Hean Low"],"tags":["Cyber-physical system","Cyberspace","Computer science","Layer (electronics)","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-01","doi":"https://doi.org/10.1109/ieem44572.2019.8978620","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4404761230","name":"Smart Water Management with Digital Twins and Multimodal Transformers: A Predictive Approach to Usage and Leakage Detection","source":"openalex","abstract":"Effective water management is crucial in urban and rural settings, requiring efficient usage and timely detection of issues like leakages for sustainability. This paper introduces an integrated framework that combines Digital Twin technology with a multimodal transformer-based model for accurate water usage prediction and leakage detection. The system synchronizes real-time data from various sensors including flow meters, pressure sensors, and thermal imaging devices with a Digital Twin of the water network. Advanced transformer models, specifically the Informer model for long-term time-series prediction and a Water Multimodal Transformer for anomaly detection, process these data to capture complex patterns and dependencies. Experimental results demonstrate the framework’s effectiveness: the Informer model achieved an R2 score of 0.9995 and a Mean Squared Error (MSE) of 2.2, outperforming traditional models. For leakage detection, the model attained 98.4% accuracy and precision, an F1 score of 97.6%, a low False Positive Rate of 0.0019, and an Area Under the Curve (AUC) of 0.984. By fusing diverse sensor data and utilizing advanced transformer architectures, the framework provides a comprehensive view of the water network, enabling real-time decision-making, enhancing forecasting accuracy, and reducing water waste. This scalable solution supports sustainable water management practices in both urban and industrial contexts.","url":"https://doi.org/10.3390/w16233410","authors":["Toqeer Ali Syed","Munir Azam Muhammad","Abdul Aziz AlShahrani","Muhammad Hammad","Muhammad Tayyab Naqash"],"tags":["Water leakage","Leakage (economics)","Transformer","Computer science","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-27","doi":"https://doi.org/10.3390/w16233410","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4401501126","name":"Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions","source":"openalex","abstract":"Abstract Industry 5.0 and Healthcare 5.0 converge towards a human centered society, having technological advancement as a lever. In Society 5.0, decentralized autonomous cities and a convergence of physical and cyberspace are the foundations of the new chapter of society’s development. The idea of creating digital replicas and legitimate representatives of human beings in cyberspace has become a pillar of digitalization. Society 5.0 introduces Human Digital Twins as a central element of Cyber Physical Systems that include human factors or are designed to interact with humans in a personalized fashion. Overall, the HDT and neighboring concepts are applied to depict how humans can be represented in a cyberspace. However, there are clear challenges in determining which human characteristics should take precedence, how much autonomy should be granted to HDTs to optimize their functionality and how to conceptualize the digital environment in which HDTs interact with various entities, including other digital agents and stakeholders with agency and decisional power. To harness similarities and differences of current approaches, we propose a classification of HDTs based on meta-characteristics and ethical implications. We discuss ethical implication by focusing on emerging risks and paradigm shifts and anchor the previous discussion in the vision for Society 5.0, questioning whether societal development relying on disruptive technologies, instead of leading to more human-centered societies might be driving humanized societies away from humanity.","url":"https://doi.org/10.1007/s10676-024-09787-1","authors":["Catarina Fontes","Dino Carpentras","Sachit Mahajan"],"tags":["Internet privacy","Computer science","Risk analysis (engineering)","Data science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-12","doi":"https://doi.org/10.1007/s10676-024-09787-1","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4414391548","name":"A SYSTEMATIC REVIEW OF DIGITAL TWIN APPLICATIONS IN INDUSTRY 4.0: SECTOR-SPECIFIC INSIGHTS","source":"openalex","abstract":"This paper presents a systematic review of Digital Twin (DT) applications in four major industry sectors: automotive, aerospace, construction, and energy.The aim of this review is to identify and analyze the use of DT technology in these industries, highlighting their unique sectorspecific implementations and benefits.The methodology involved a comprehensive search strategy of the scientific literature available in Clarivate's Web of Science Core Collection, focusing on articles published in the last five years.The findings demonstrate that in the automotive industry, DTs are used for optimizing thin-part machining processes and for predictive analytics.In the aerospace sector, they are crucial for fleet monitoring and predictive maintenance.For the construction industry, DT applications are improving project management by integrating with BIM and IoT devices.In the energy sector, DTs are vital for assessing the Remaining Useful Life of offshore wind turbines and enhancing energy efficiency.This review contributes to the understanding of DT applications and provides insights into future research directions for their advanced integration and optimization in various industrial sectors.","url":"https://doi.org/10.17683/ijomam/issue21.17","authors":[],"tags":["Computer science","Business","Industry 4.0","Data science","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-22","doi":"https://doi.org/10.17683/ijomam/issue21.17","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387933173","name":"D2EcoSys: Decentralized Digital Twin EcoSystem Empower Co-Creation City-Level Digital Twins","source":"openalex","abstract":"A city-level digital twin is a critical enabling technology to construct a smart city that helps improve citizens' living conditions and quality of life. Currently, research and development regarding the digital replica city are pursued worldwide. However, many research projects only focus on creating the 3D city model. A mechanism to involve key players, such as data providers, service providers, and application developers, is essential for constructing the digital replica city and producing various city applications. Based on this motivation, the authors of this paper are pursuing a research project, namely Decentralized Digital Twin EcoSystem (D2EcoSys), to create an ecosystem to advance (and self-grow) the digital replica city regarding time and space directions, city services, and values. This paper introduces an overview of the D2EcoSys project: vision, problem statement, and approach. In addition, the paper discusses the recent research results regarding networking technologies and demonstrates an early testbed built in the Kashiwa-no-ha smart city.","url":"https://doi.org/10.1587/transcom.2023wwi0001","authors":["Kenji Kanai","Hidehiro Kanemitsu","Taku Yamazaki","Shintaro Mori","Aram Mine","Sumiko Miyata","Hironobu Imamura","Hidenori Nakazato"],"tags":["Computer science","Testbed","Replica","Smart city","Digital ecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-25","doi":"https://doi.org/10.1587/transcom.2023wwi0001","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4293370891","name":"Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping","source":"openalex","abstract":"Historic buildings require good maintenance to sustain their function and preserve embodied heritage values. Previous studies have demonstrated the benefits of digitalization techniques in improving maintenance and managing threats to historic buildings. However, there still lacks a solution that can consistently organize data collected from historic buildings to reveal operating conditions of historic buildings in real-time and to facilitate various data analytics and simulations. This study aims to provide such a solution to help achieve preventive conservation. The proposed solution integrates Internet of Things and ontology to create digital twins of historic buildings. Internet of Things enables revealing the latest status of historic buildings, while ontology provides a consistent data schema for representing historic buildings. This study also gives a reference implementation by using public cloud services and open-source software libraries, which make it easier to be reused in other historic buildings. To verify the feasibility of the solution, we conducted a case study in the City Theatre, Norrköping, Sweden. The obtained results demonstrate the advantages of digital twins in providing maintenance knowledge and identifying potential risks caused by fluctuations of relative humidity.","url":"https://doi.org/10.1109/access.2022.3202181","authors":["Zhongjun Ni","Yu Liu","Magnus Karlsson","Shaofang Gong"],"tags":["Cloud computing","Computer science","Cultural heritage","Architectural engineering","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3202181","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2045107415","name":"Digital Quantification of Human Eye Color Highlights Genetic Association of Three New Loci","source":"openalex","abstract":"Previous studies have successfully identified genetic variants in several genes associated with human iris (eye) color; however, they all used simplified categorical trait information. Here, we quantified continuous eye color variation into hue and saturation values using high-resolution digital full-eye photographs and conducted a genome-wide association study on 5,951 Dutch Europeans from the Rotterdam Study. Three new regions, 1q42.3, 17q25.3, and 21q22.13, were highlighted meeting the criterion for genome-wide statistically significant association. The latter two loci were replicated in 2,261 individuals from the UK and in 1,282 from Australia. The LYST gene at 1q42.3 and the DSCR9 gene at 21q22.13 serve as promising functional candidates. A model for predicting quantitative eye colors explained over 50% of trait variance in the Rotterdam Study. Over all our data exemplify that fine phenotyping is a useful strategy for finding genes involved in human complex traits.","url":"https://doi.org/10.1371/journal.pgen.1000934","authors":["Fan Liu","Andreas Wollstein","Pirro G. Hysi","Georgina A. Ankra-Badu","Timothy D. Spector","Daniel Park","Gu Zhu","Mats Larsson","David L. Duffy","Grant W. Montgomery","David A. Mackey","Susan Walsh","Óscar Lao","Albert Hofman","Fernando Rivadeneira","Johannes R. Vingerling","André G. Uitterlinden","Nicholas G. Martin","Christopher J. Hammond","Manfred Kayser"],"tags":["Biology","Eye color","Genetics","Quantitative trait locus","Genetic association"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2010-05-06","doi":"https://doi.org/10.1371/journal.pgen.1000934","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3135580977","name":"Multiscale digital twin for particle breakage in milling: From nanoindentation to population balance model","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.powtec.2021.03.005","authors":["Li Ge Wang","Ruihuan Ge","Xizhong Chen","Rongxin Zhou","Han-Mei Chen"],"tags":["Breakage","Nanoindentation","Population","Particle (ecology)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-06","doi":"https://doi.org/10.1016/j.powtec.2021.03.005","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3081265596","name":"Fiber Bragg Gratings for Medical Applications and Future Challenges: A Review","source":"openalex","abstract":"In the last decades, fiber Bragg gratings (FBGs) have become increasingly attractive to medical applications due to their unique properties such as small size, biocompatibility, immunity to electromagnetic interferences, high sensitivity and multiplexing capability. FBGs have been employed in the development of surgical tools, assistive devices, wearables, and biosensors, showing great potentialities for medical uses. This paper reviews the FBG-based measuring systems, their principle of work, and their applications in medicine and healthcare. Particular attention is given to sensing solutions for biomechanics, minimally invasive surgery, physiological monitoring, and medical biosensing. Strengths, weaknesses, open challenges, and future trends are also discussed to highlight how FBGs can meet the demands of next-generation medical devices and healthcare system.","url":"https://doi.org/10.1109/access.2020.3019138","authors":["Daniela Lo Presti","Carlo Massaroni","Cátia Leitão","M. Fátima Domingues","Marzhan Sypabekova","David Barrera","Ignazio Floris","Luca Massari","Calogero Maria Oddo","Salvador Sales","Iulian Iordachita","Daniele Tosi","Emiliano Schena"],"tags":["Wearable computer","Fiber Bragg grating","PHOSFOS","Computer science","Multiplexing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1109/access.2020.3019138","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4380989394","name":"Applicability of Deep Learning Algorithms for Predicting Indoor Temperatures: Towards the Development of Digital Twin HVAC Systems","source":"openalex","abstract":"The development of digital twins leads to the pathway toward intelligent buildings. Today, the overwhelming rate of data in buildings carries a high amount of information that can provide an opportunity for a digital representation of the buildings and energy optimization strategies in the Heating, Ventilation, and Air Conditioning (HVAC) systems. To implement a successful energy management strategy in a building, a data-driven approach should accurately forecast the HVAC features, in particular the indoor temperatures. Accurate predictions not only increase thermal comfort levels, but also play a crucial role in saving energy consumption. This study aims to investigate the capabilities of data-driven approaches and the development of a model for predicting indoor temperatures. A case study of an educational building is considered to forecast indoor temperatures using machine learning and deep learning algorithms. The algorithms’ performance is evaluated and compared. The important model parameters are sorted out before choosing the best architecture. Considering real data, prediction models are created for indoor temperatures. The results reveal that all the investigated models are successful in predicting indoor temperatures. Hence, the proposed deep neural network model obtained the highest accuracy with an average RMSE of 0.16 °C, which renders it the best candidate for the development of a digital twin.","url":"https://doi.org/10.3390/buildings13061542","authors":["Pooria Norouzi","Sirine Maalej","Rodrigo Mora"],"tags":["HVAC","Computer science","Artificial neural network","Energy consumption","Energy (signal processing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-16","doi":"https://doi.org/10.3390/buildings13061542","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4393986205","name":"Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer","source":"openalex","abstract":"Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease prediction models that harness comprehensive medical data, enabling the anticipation of illnesses even before the onset of symptoms. In this model, deep neural networks stand out because they improve accuracy remarkably by increasing network depth and making weight changes using gradient descent. Nonetheless, traditional methods face their own set of challenges, including the issues of gradient instability and slow training. In this case, the Broad Learning System (BLS) stands out as a good alternative. It gets around the problems with gradient descent and lets you quickly rebuild a model through incremental learning. One problem with BLS is that it has trouble extracting complex features from complex medical data. This makes it less useful in a wide range of healthcare situations. In response to these challenges, we introduce DAE-BLS, a novel hybrid model that marries Denoising AutoEncoder (DAE) noise reduction with the efficiency of BLS. This hybrid approach excels in robust feature extraction, particularly within the intricate and multifaceted world of medical data. Validation using diverse datasets yields impressive results, with accuracies reaching as high as 98.50%. DAE-BLS's ability to rapidly adapt through incremental learning holds great promise for accurate and agile disease prediction, especially within the complex and dynamic healthcare scenarios of today.","url":"https://doi.org/10.1186/s12911-024-02495-2","authors":["Chaitanya Kulkarni","Aadam Quraishi","Mohan Raparthi","Mohammad Shabaz","Muhammad Attique Khan","Raj Varma","Ismail Keshta","Mukesh Soni","Haewon Byeon"],"tags":["Computer science","Artificial intelligence","Machine learning","Data science","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-04","doi":"https://doi.org/10.1186/s12911-024-02495-2","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3153127569","name":"Small and Medium-Sized Ports in the TEN-T Network and Nexus of Europe’s Twin Transition: The Way towards Sustainable and Digital Port Service Ecosystems","source":"openalex","abstract":"Despite high competition among big EU ports, such as Rotterdam, Hamburg, or Valencia, acting as Core Ports in the Trans-European Transport Core and Comprehensive Network (TEN-T), this paper addresses the marginalized decision-making capability for environmental and digital transition immanent in the Small and Medium-Sized Ports (SMSPs) ecosystems in the EU. Irrespective of topical research, little is said about SMSPs ecosystem sustainability robustness and how SMSPs can pursue the transformative way. Here, management and strategic port decision levels are rather patchy and disconnected from the operational port performance. SMSPs are bound to limited resources and low cognitive, organizational, or institutional proximity, compared to their bigger counterparts. This situation provides a lot of room for critical demarche, since in the TEN-T Network, there are 225 Comprehensive and only 104 Core Ports, the majority qualifying, thus, as SMSPs. This research aims at reducing this research-to-practice lacuna by improving limited managerial capacity of SMSPs on environmental responsibility and digital efficiency. Using an ecosystem concept and aggregated empirical data in three EU macro-regions—the Baltic Sea Region, the Adriatic-Ionian Sea Region, and the Mediterranean Sea Region, three specific decision-making tools are suggested for managerial applications to facilitate and reinforce transition in SMSPs for environmental responsibility, social equity, and economic efficiency.","url":"https://doi.org/10.3390/su13084386","authors":["Laima Gerlitz","Christopher Meyer"],"tags":["Port (circuit theory)","Business","Transition management (governance)","Nexus (standard)","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-14","doi":"https://doi.org/10.3390/su13084386","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387767134","name":"Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review","source":"openalex","abstract":"The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to enhance and optimize the environmental performance and efficiency of smart cities. These strides have, in turn, impacted smart eco-cities, catalyzing ongoing improvements and driving solutions to address complex environmental challenges. This aligns with the visionary concept of smarter eco-cities, an emerging paradigm of urbanism characterized by the seamless integration of advanced technologies and environmental strategies. However, there remains a significant gap in thoroughly understanding this new paradigm and the intricate spectrum of its multifaceted underlying dimensions. To bridge this gap, this study provides a comprehensive systematic review of the burgeoning landscape of smarter eco-cities and their leading-edge AI and AIoT solutions for environmental sustainability. To ensure thoroughness, the study employs a unified evidence synthesis framework integrating aggregative, configurative, and narrative synthesis approaches. At the core of this study lie these subsequent research inquiries: What are the foundational underpinnings of emerging smarter eco-cities, and how do they intricately interrelate, particularly urbanism paradigms, environmental solutions, and data-driven technologies? What are the key drivers and enablers propelling the materialization of smarter eco-cities? What are the primary AI and AIoT solutions that can be harnessed in the development of smarter eco-cities? In what ways do AI and AIoT technologies contribute to fostering environmental sustainability practices, and what potential benefits and opportunities do they offer for smarter eco-cities? What challenges and barriers arise in the implementation of AI and AIoT solutions for the development of smarter eco-cities? The findings significantly deepen and broaden our understanding of both the significant potential of AI and AIoT technologies to enhance sustainable urban development practices, as well as the formidable nature of the challenges they pose. Beyond theoretical enrichment, these findings offer invaluable insights and new perspectives poised to empower policymakers, practitioners, and researchers to advance the integration of eco-urbanism and AI- and AIoT-driven urbanism. Through an insightful exploration of the contemporary urban landscape and the identification of successfully applied AI and AIoT solutions, stakeholders gain the necessary groundwork for making well-informed decisions, implementing effective strategies, and designing policies that prioritize environmental well-being.","url":"https://doi.org/10.1016/j.ese.2023.100330","authors":["Simon Elias Bibri","John Krogstie","Amin Kaboli","Alexandre Alahi"],"tags":["Sustainability","Transformative learning","Smart city","Computer science","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-19","doi":"https://doi.org/10.1016/j.ese.2023.100330","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4391948723","name":"A review on computer model calibration","source":"openalex","abstract":"Abstract Model calibration is crucial for optimizing the performance of complex computer models across various disciplines. In the era of Industry 4.0, symbolizing rapid technological advancement through the integration of advanced digital technologies into industrial processes, model calibration plays a key role in advancing digital twin technology, ensuring alignment between digital representations and real‐world systems. This comprehensive review focuses on the Kennedy and O'Hagan (KOH) framework (Kennedy and O'Hagan, Journal of the Royal Statistical Society: Series B 2001; 63(3):425–464). In particular, we explore recent advancements addressing the challenges of the unidentifiability issue while accommodating model inadequacy within the KOH framework. In addition, we explore recent advancements in adapting the KOH framework to complex scenarios, including those involving multivariate outputs and functional calibration parameters. We also delve into experimental design strategies tailored to the unique demands of model calibration. By offering a comprehensive analysis of the KOH approach and its diverse applications, this review serves as a valuable resource for researchers and practitioners aiming to enhance the accuracy and reliability of their computer models. This article is categorized under: Statistical Models > Semiparametric Models Statistical Models > Simulation Models Statistical Models > Bayesian Models","url":"https://doi.org/10.1002/wics.1645","authors":["Chih‐Li Sung","Rui Tuo"],"tags":["Computer science","Key (lock)","Calibration","Statistical model","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1002/wics.1645","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4312203676","name":"Automatic generation of structural geometric digital twins from point clouds","source":"openalex","abstract":"A geometric digital twin (gDT) model capable of leveraging acquired 3D geometric data plays a vital role in digitizing the process of structural health monitoring. This study presents a framework for generating and updating digital twins of existing buildings by inferring semantic information from as-is point clouds (gDT's data) acquired regularly from laser scanners (gDT's connection). The information is stored in updatable Building Information Models (BIMs) as gDT's virtual model, and dimensional outputs are extracted for structural health monitoring (gDT's service) of different structural members and shapes (gDT's physical part). First, geometric information, including position and section shape, is obtained from the acquired point cloud using domain-specific contextual knowledge and supervised classification. Then, structural members' function and section family type is inferred from geometric information. Finally, a BIM is automatically generated or updated as the virtual model of an existing facility and incorporated within the gDT for structural health monitoring. Experiments on real-world construction data are performed to illustrate the efficiency and precision of the proposed model for creating as-is gDT of building structural members.","url":"https://doi.org/10.1038/s41598-022-26307-7","authors":["Kaveh Mirzaei","Mehrdad Arashpour","Ehsan Asadi","Hossein Masoumi","Heng Li"],"tags":["Point cloud","Computer science","Process (computing)","Point (geometry)","Cloud computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-24","doi":"https://doi.org/10.1038/s41598-022-26307-7","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4324366789","name":"Integration of Discrete Simulation, Prediction, and Optimization Methods for a Production Line Digital Twin Design","source":"openalex","abstract":"The integration of discrete simulations, artificial intelligence methods, and the theory of probability in order to obtain a high flexibility of the production system is crucial. In this paper, the concept of a smart factory operation is proposed along with the idea of data exchange architecture, simulation creation, performance optimization, and predictive analysis of the production process conditions. A Digital Twin for a hybrid flow shop from the automotive industry is presented as a case study. In the paper, the Ant Colony Optimization (ACO) algorithm is developed for multi-criteria scheduling problems in order to obtain a production plan without delays and maximum resource utilization. The ACO is compared to the immune algorithm and genetic algorithm. The best schedules are achieved with low computation time for the Digital Twin. By predicting the reliability parameters of the limited resources of the Digital Twin, stable deadlines for the implementation of production tasks are achieved. Mean Time To Failure and Mean Time of Repair are predicted for a real case study of an electric steering gear production line. The presented integration and data exchange between the elements of the smart factory: a Digital Twin, a computing module including an optimization, prediction, and simulation methods fills the gap between theory and practice for Industry 4.0. The paper presents measurable benefits of integration of discrete simulation tools, historical data analysis, and optimization methods.","url":"https://doi.org/10.3390/ma16062339","authors":["Damian Krenczyk","Iwona Paprocka"],"tags":["Scheduling (production processes)","Computer science","Factory (object-oriented programming)","Production line","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-14","doi":"https://doi.org/10.3390/ma16062339","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4409641148","name":"Principles and Operation of Virtual Brain Twins","source":"openalex","abstract":"Current clinical methods often overlook individual variability by relying on population-wide trials, while mechanism-based trials remain underutilized in neuroscience due to the brain's complexity. This situation may change through the use of a Virtual Brain Twin (VBT), which is a personalized digital replica of an individual's brain, integrating structural and functional brain data into advanced computational models and inference algorithms. By bridging the gap between molecular mechanisms, whole-brain dynamics, and imaging data, VBTs enhance the understanding of (patho)physiological mechanisms, advancing insights into both healthy and disordered brain function. Central to VBT is the network modeling that couples mesoscopic representation of neuronal activity through white matter connectivity, enabling the simulation of brain dynamics at a network level. This transformative approach provides interpretable predictive capabilities, supporting clinicians in personalizing treatments and optimizing interventions. This Review outlines the key components of VBT development, covering the conceptual, mathematical, technical, and clinical aspects. We describe the stages of VBT construction-from anatomical coupling and modeling to simulation and Bayesian inference-and demonstrate their applications in resting-state, healthy aging, multiple sclerosis, and epilepsy. Finally, we discuss potential extensions to other neurological disorders, such as Parkinson's disease, and explore future applications in consciousness research and brain-computer interfaces, paving the way for advancements in personalized medicine and brain-machine integration.","url":"https://doi.org/10.1109/rbme.2025.3562951","authors":["Meysam Hashemi","Damien Depannemaecker","Maria Luisa Saggio","Paul Triebkorn","Giovanni Rabuffo","Jan Fousek","Abolfazl Ziaeemehr","Viktor Ší́p","Anastasios Athanasiadis","Martin Breyton","Marmaduke Woodman","Huifang Wang","Spase Petkoski","Pierpaolo Sorrentino","Viktor Jirsa"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1109/rbme.2025.3562951","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4323545051","name":"Research on gas pipeline leakage model identification driven by digital twin","source":"openalex","abstract":"When the gas pipeline leaks, it causes huge economic losses. This paper establishes a digital twin model of a pipeline based on the pressure signal generated by a pipeline leak and researches on pipeline leak detection. First, an online updating of the twin model is established to update the data of the physical information space and the parameters of the twin model online. Second, a visual model is established to display the spatial data of physical information of pipelines and output data of the digital twin of pipelines in real-time. If pipeline leakage is identified, an alarm would be triggered and a corresponding emergency rescue plan would be initiated based on the the leakage. Finally, the pipeline leakage identification model can be established by analysing the finite element model of the pipeline, and the sample data were obtained and preprocessed to extract the feature vectors. The training model of the Support vector machine (SVM) was used to classify the working conditions. Theoretical analysis and experimental results show that the method proposed in this paper has high detection accuracy, so it is feasible to judge gas pipeline leakage by using digital twin prediction.","url":"https://doi.org/10.1080/21642583.2023.2180687","authors":["Dongmei Wang","Shaoxiong Shi","Jingyi Lu","Zhongrui Hu","Jing Chen"],"tags":["Pipeline transport","Pipeline (software)","Leakage (economics)","Support vector machine","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-08","doi":"https://doi.org/10.1080/21642583.2023.2180687","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4390829176","name":"Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare","source":"openalex","abstract":"Integrating Artificial Intelligence (AI) in healthcare represents a transformative shift with substantial potential for enhancing patient care. This paper critically examines this integration, confronting significant ethical, legal, and technological challenges, particularly in patient privacy, decision-making autonomy, and data integrity. A structured exploration of these issues focuses on Differential Privacy as a critical method for preserving patient confidentiality in AI-driven healthcare systems. We analyze the balance between privacy preservation and the practical utility of healthcare data, emphasizing the effectiveness of encryption, Differential Privacy, and mixed-model approaches. The paper navigates the complex ethical and legal frameworks essential for AI integration in healthcare. We comprehensively examine patient rights and the nuances of informed consent, along with the challenges of harmonizing advanced technologies like blockchain with the General Data Protection Regulation (GDPR). The issue of algorithmic bias in healthcare is also explored, underscoring the urgent need for effective bias detection and mitigation strategies to build patient trust. The evolving roles of decentralized data sharing, regulatory frameworks, and patient agency are discussed in depth. Advocating for an interdisciplinary, multi-stakeholder approach and responsive governance, the paper aims to align healthcare AI with ethical principles, prioritize patient-centered outcomes, and steer AI towards responsible and equitable enhancements in patient care.","url":"https://doi.org/10.3390/app14020675","authors":["S. Williamson","Victor R. Prybutok"],"tags":["Health care","Autonomy","Confidentiality","Transformative learning","Information privacy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-12","doi":"https://doi.org/10.3390/app14020675","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4378227250","name":"Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies","source":"openalex","abstract":"Digital transformation, which significantly impacts our personal, social, and economic spheres of life, is regarded by many as the most significant development of recent decades. In an industrial context, based on a systematic literature review of 262 papers selected from the ProQuest database, using the methodology of David and Han, this paper discusses Industry 4.0 technologies as the key drivers and/or enablers of digital transformation for business practices, models, processes, and routines in the current digital age. After carrying out a systematic literature review considering key Industry 4.0 technologies, we discuss the individual and collective ways in which competitiveness in contemporary organizations and institutions is enhanced. Specifically, we discuss how these technologies contribute as antecedents, drivers, and enablers of environmental and social sustainability, corporate growth and diversification, reshoring, mass customization, B2B cooperation, supply chain integration, Lean Six Sigma, quality of governance, innovations, and knowledge related to dealing with challenges arising from global pandemics such as COVID-19. A few challenges related to the effective adoption and implementation of Industry 4.0 are also highlighted, along with some suggestions to overcome them.","url":"https://doi.org/10.3390/su15118553","authors":["Muhammad Zafar Yaqub","Abdullah Alsabban"],"tags":["Digital transformation","Industry 4.0","Business","Business model","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-25","doi":"https://doi.org/10.3390/su15118553","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3047148174","name":"DIGITAL TWINNING OF THE BUILT ENVIRONMENT – AN INTERDISCIPLINARY TOPIC FOR INNOVATION IN DIDACTICS","source":"openalex","abstract":"Abstract. The concept of a Digital Twin (DT) takes an increasingly important role in the construction industry and related research fields. It is a concept associated with Industry 4.0; however, the scientific literature does not provide a unique and clear definition of this concept. This paper aims to analyse the definitions of the digital twin to clarify this concept in the related fields of architecture, engineering and construction (AEC). Moreover, this work proposes and employs the concept of a Digital Twin as an objective for a project-based learning approach in a didactical setting. As an interdisciplinary approach, this work demonstrates the potential impact on the traditional didactical frameworks in the educational domain of construction and its value as an opportunity to introduce interdisciplinary expertise to all students in these fields. This work presents a use case applying the concept at the School of Architecture, Civil Engineering and Geomatics of FHNW.","url":"https://doi.org/10.5194/isprs-annals-v-4-2020-231-2020","authors":["Wissam Wahbeh","D. Kunz","Jan Hofmann","P. Bereuter"],"tags":["Geomatics","Architecture","Domain (mathematical analysis)","Field (mathematics)","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-03","doi":"https://doi.org/10.5194/isprs-annals-v-4-2020-231-2020","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3095086715","name":"Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)","source":"openalex","abstract":"Freely available global digital elevation models (DEMs) are important inputs for many research fields and applications. During the last decade, several global DEMs have been released based on satellite data. ASTER and SRTM are the most widely used DEMs, but the more recently released, AW3D30, TanDEM-X and MERIT, are being increasingly used. Many researchers have studied the quality of these DEM products in recent years. However, there has been no comprehensive and systematic evaluation of their quality over areas with variable topography and land cover conditions. To provide this comparison, we examined the accuracy of six freely available global DEMs (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM) in four geographic regions with different topographic and land use conditions. We used local high-precision elevation models (Light Detection and Ranging (LiDAR), Pleiades-1A) as reference models and all global models were resampled to reference model resolution (1m). In total, 608 million 1x1 m pixels were analyzed. To estimate the accuracy, we generated error rasters by subtracting each reference model from the corresponding global DEM and calculated descriptive statistics for this difference (e.g., median, mean, root-mean-square error (RMSE)). We also assessed the vertical accuracy as a function of the slope, slope aspect, and land cover. We found that slope had the strongest effect on DEM accuracy, with no relationship for slope aspect. The AW3D30 was the most robust and had the most stable performance in most of the tests and is therefore the best choice for an analysis of multiple geographic regions. SRTM and NASADEM also performed well where available, whereas NASADEM, as a successor of SRTM, showed only slight improvement in comparison to SRTM. MERIT and TanDEM-X also performed well despite their lower spatial resolution.","url":"https://doi.org/10.3390/rs12213482","authors":["Evelyn Uuemaa","Sander Ahi","Bruno Montibeller","Merle Muru","Alexander Kmoch"],"tags":["Shuttle Radar Topography Mission","Digital elevation model","Advanced Spaceborne Thermal Emission and Reflection Radiometer","Remote sensing","Land cover"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-23","doi":"https://doi.org/10.3390/rs12213482","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4389687461","name":"Digital Twin Test-Bench Performance for Marine Diesel Engine Applications","source":"openalex","abstract":"Abstract The application of Digital Twins is a promising solution for enhancing the efficiency of marine power plant operation, particularly their important components – marine internal combustion engines (ICE). This work presents the concept of applying a Performance Digital Twin for monitoring the technical condition and diagnosing malfunctions of marine ICE, along with its implementation on an experimental test-bench, based on a marine diesel-generator. The main principles of implementing this concept involve data transmission technologies, from the sensors installed on the engine to a server. The Digital Twin, also operating on the server, is used to automatically process the acquired experimental data, accumulate statistics, determine the current technical state of the engine, identify possible malfunctions, and make decisions regarding changes in operating programs. The core element of the Digital Twin is a mathematical model of the marine diesel engine’s operating cycle. In its development, significant attention was devoted to refining the fuel combustion model, as the combustion processes significantly impact both the engine’s fuel efficiency and the level of toxic emissions of exhaust gases. The enhanced model differs from the base model, by considering the variable value of the average droplets’ diameter during fuel injection. This influence on fuel vapourisation, combustion, and the formation of toxic components is substantial, as shown. Using the example of calibrating the model to the test results of a diesel engine under 27 operating modes, it is demonstrated that the application of the improved combustion model allows better adjustment of the Digital Twin to experimental data, thus achieving a more accurate correspondence to a real engine.","url":"https://doi.org/10.2478/pomr-2023-0061","authors":["Dmytro Мinchev","Roman Varbanets","Oleksandr Shumylo","Vitalii Zalozh","Nadiia Aleksandrovska","Pavlo Bratchenko","Thanh Hai Truong"],"tags":["Test bench","Automotive engineering","Combustion","Internal combustion engine","Diesel cycle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-01","doi":"https://doi.org/10.2478/pomr-2023-0061","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4311387106","name":"Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion","source":"openalex","abstract":"Human bio-signal fusion is considered a critical technological solution that needs to be advanced to enable modern and secure digital health and well-being applications in the metaverse. To support such efforts, we propose a new data-driven digital twin (DT) system to fuse three human physiological bio-signals: heart rate (HR), breathing rate (BR), and blood oxygen saturation level (SpO2). To accomplish this goal, we design a computer vision technology based on the non-invasive photoplethysmography (PPG) technique to extract raw time-series bio-signal data from facial video frames. Then, we implement machine learning (ML) technology to model and measure the bio-signals. We accurately demonstrate the digital twin capability in the modelling and measuring of three human bio-signals, HR, BR, and SpO2, and achieve strong performance compared to the ground-truth values. This research sets the foundation and the path forward for realizing a holistic human health and well-being DT model for real-world medical applications.","url":"https://doi.org/10.3390/s22249747","authors":["Iz Al-Dein Al-Zyoud","Fedwa Laamarti","Xiaocong Ma","Diana P. Tobón","Abdulmotaleb El Saddik"],"tags":["Photoplethysmogram","Computer science","Artificial intelligence","Fuse (electrical)","SIGNAL (programming language)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-12","doi":"https://doi.org/10.3390/s22249747","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3084417931","name":"Gender-Based Violence During COVID-19 Pandemic: A Mini-Review","source":"openalex","abstract":"Quarantine, though necessary to reduce COVID19 disease spread, has serious psychological and socially disruptive consequences including a surge in the cases of gender-based violence within the home. This paper attempts to understand the quarantine paradox from a gender perspective and reviews the pattern of the rise in gender violence cases, resultant psychosocial issues, and attempts to create awareness by initiating a discourse urging for a change in the response to the victims of gender-based violence. A review of the available literature on the rise of gender-based violence in the times of current and past pandemics was undertaken. In addition, the secondary data available in the newspaper and other mass media sources focusing on the rise of gender-based violence during the imposed lockdown was included in the review so as to describe the nature and prevalence of the issue, its consequences and the measures taken by the governments to tackle the issue. Gender-based violence has increased during the lockdown period for a number of reasons. A surge in gender-based violence was witnessed during other pandemics and epidemics too. The legislatures and services available for such victims fall short of addressing the obstacles in helping them in the times of quarantine. It can be concluded that the imposition of lockdown has several negative outcomes for women. The surge in gender-based violence in the times of lockdown has highlighted the gender inequality specifically in regard to the safety of women. Strong governmental/ NGOs actions are needed to help women feel safe at home.","url":"https://doi.org/10.3389/fgwh.2020.00004","authors":["Shalini Mittal","Tushar Singh"],"tags":["Pandemic","Legislature","Criminology","Psychosocial","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-09-08","doi":"https://doi.org/10.3389/fgwh.2020.00004","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3088569773","name":"Product family design and optimization: a digital twin-enhanced approach","source":"openalex","abstract":"Complex product family design and optimization has been a major challenge in today’s mass customization paradigm. Nevertheless, there is still no context-aware testbed to support it. Digital twin, as an emerging concept empowered by the cutting-edge information and communication technology, has been widely adopted to realize smart product-service systems across many sectors. Owing to its advantages of high-fidelity simulation and cyber-physical interconnectivity, a generic digital twin-driven approach is proposed to support the in-context virtual prototyping and usage condition monitoring of complex product family. A case study of tower crane family design and optimization is further exploited to validate its cost-effectiveness.","url":"https://doi.org/10.1016/j.procir.2020.05.162","authors":["Pai Zheng","Kendrik Yan Hong Lim"],"tags":["Interconnectivity","Mass customization","Context (archaeology)","Systems engineering","Virtual prototyping"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.05.162","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4312245140","name":"LIVE Digital Twin: Developing a Sensor Network to Monitor the Health of Belt Conveyor System","source":"openalex","abstract":"Industry 4.0 requires developing smart systems to maximize the uptime of machines and components. Digital Twins can be defined as a real time exchange of the information between a physical asset and a virtual portrayal in a bidirectional manner. This relationship is best established with a sensor network. LIVE Digital Twin presents a methodology to design model-based Digital Twins for asset management through sensors. This methodology is increasingly useful when the fault history of an asset is not readily available. The LIVE Digital Twin methodology consists of four principle phases, Learn, Identify, Verify, Extend. The goal of this research is to review the application of the LIVE Digital Twin methodology on a case study of a Belt Conveyor System found in the mining industry. Belt Conveyor Systems and their rollers are critical in material transportation and are susceptible to various faulty cases. Using a multi fidelity approach, a case study demonstrates the first two phases of LIVE Digital Twin and identifying the sensor locations. The study concludes with the successful location of 2 sensors on a subassembly of a Belt Conveyor System frame.","url":"https://doi.org/10.1016/j.ifacol.2022.09.182","authors":["Andrew E. Bondoc","Mohsen Tayefeh","Ahmad Barari"],"tags":["High fidelity","Asset (computer security)","Fidelity","Computer science","Frame (networking)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.09.182","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4210929958","name":"Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations","source":"openalex","abstract":"Cobotic workstations in industrial plants involve a new kind of collaborative robots that can interact with operators. These cobots enable more flexibility and they can reduce the cycle time and the floor space of the workstation. However, cobots also introduce new safety concerns with regard to operators, and they may have an impact on the workstation ergonomics. For those reasons, introducing cobots in a workstation always require additional studies on safety and ergonomics before being applied and certified. Certification rules are often complex to understand. We present the SEEROB framework for the Safety and Ergonomics Evaluation of ROBotic workstations. The SEEROB framework simulates a physics-based digital twin of the cobotic workstation and computes a large panel of criteria used for safety and ergonomics. These criteria may be processed for the certification of the workstation. The SEEROB framework also uses extended reality technologies to display the digital twin and its associated data: users can use virtual reality headsets for the design of non-existing workstations, and mixed reality devices to better understand safety and ergonomics constraints on existing workstations. The SEEROB framework was tested on various laboratory and industrial use cases, involving different kinds of robots.","url":"https://doi.org/10.3389/frvir.2022.781830","authors":["Vincent Weistroffer","François Keith","Arnaud Bisiaux","Claude Andriot","Antoine Lasnier"],"tags":["Workstation","Certification","Human–computer interaction","Computer science","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-09","doi":"https://doi.org/10.3389/frvir.2022.781830","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4378086285","name":"Noninvasive Electrical Stimulation Neuromodulation and Digital Brain Technology: A Review","source":"openalex","abstract":"We review the research progress on noninvasive neural regulatory systems through system design and theoretical guidance. We provide an overview of the development history of noninvasive neuromodulation technology, focusing on system design. We also discuss typical cases of neuromodulation that use modern noninvasive electrical stimulation and the main limitations associated with this technology. In addition, we propose a closed-loop system design solution of the \"time domain\", \"space domain\", and \"multi-electrode combination\". For theoretical guidance, this paper provides an overview of the \"digital brain\" development process used for noninvasive electrical-stimulation-targeted modeling and the development of \"digital human\" programs in various countries. We also summarize the core problems of the existing \"digital brain\" used for noninvasive electrical-stimulation-targeted modeling according to the existing achievements and propose segmenting the tissue. For this, the tissue parameters of a multimodal image obtained from a fresh cadaver were considered as an index. The digital projection of the multimodal image of the brain of a living individual was implemented, following which the segmented tissues could be reconstructed to obtain a \"digital twin brain\" model with personalized tissue structure differences. The \"closed-loop system\" and \"personalized digital twin brain\" not only enable the noninvasive electrical stimulation of neuromodulation to achieve the visualization of the results and adaptive regulation of the stimulation parameters but also enable the system to have individual differences and more accurate stimulation.","url":"https://doi.org/10.3390/biomedicines11061513","authors":["Shuang Zhang","Yuping Qin","Jiujiang Wang","Yuanyu Yu","Lin Wu","Tao Zhang"],"tags":["Neuromodulation","Computer science","Brain stimulation","Neuroscience","Stimulation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-23","doi":"https://doi.org/10.3390/biomedicines11061513","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3215039086","name":"An approach for Industrie 4.0-compliant and data-sovereign Digital Twins","source":"openalex","abstract":"Abstract Data sharing between enterprises requires both interoperability and data sovereignty. In the application domain of industrial production an integrated approach is required that encompasses standards and technologies of both Industrie 4.0 and the International Data Spaces (IDS). This paper describes how to combine them for the concept of Digital Twins following the architectural framework given in ISO DIS 23247. Furthermore, an implementation approach is described relying upon the Fraunhofer Advanced AAS Tools for Digital Twins (FA³ST). The resulting architectural approach may be combined with further open manufacturing standards, and may be applied for data analytics and the engineering of AI-based systems.","url":"https://doi.org/10.1515/auto-2021-0074","authors":["Michael Jacoby","Friedrich Volz","Christian Weißenbacher","Ljiljana Stojanović","Thomas Usländer"],"tags":["Interoperability","Domain (mathematical analysis)","Computer science","Sovereignty","Data sharing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-27","doi":"https://doi.org/10.1515/auto-2021-0074","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4306250783","name":"BUILDING DIGITAL TWINS FOR SMART CITIES: A CASE STUDY IN GREECE","source":"openalex","abstract":"Abstract. The recent emergence of the Internet of Things (IoT), the latest technological innovations and the widespread use and embrace of Building Information Models (BIMs) offer several new ideas and decision-making capabilities throughout the life cycle of the built environment. The ability to connect and monitor data from sensor networks remotely in real time as well as the simulation and optimization of engineering systems, have led to the emergence of the Digital Twin (DT) concept of the structured environment. Although BIM lacks semantic completeness in areas beyond the scope of building modelling such as control systems, cadastral systems, networking of sensors, meteorological networks, etc., the DTs aim to achieve the synchronization of big data from various sources and simulate the real world into a virtual platform for the seamless management and control of the construction process, facility management, environmental monitoring, disaster management and disaster prevention, and other life cycle processes within the built environment. DTs in the built environment are still in nascent stages and thus a more in-depth investigation is required to explore and establish the best practices and technologies to serve this evolution. In this paper, we propose a methodology for providing the DT of a building; by crossing from the BIM static world to the dynamic cyber-world of DTs. A practical application is implemented for a two-storey ‘smart’ building with sensor systems installed in its assets and in the surrounding landscape area. As the practical experiment is successfully completed, we conclude that such an endeavour can actually be achieved at building level offering several economic, environmental and social benefits.","url":"https://doi.org/10.5194/isprs-annals-x-4-w2-2022-61-2022","authors":["T. Evangelou","Maria Gkeli","Chryssy Potsiou"],"tags":["Building information modeling","Scope (computer science)","Computer science","Built environment","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-14","doi":"https://doi.org/10.5194/isprs-annals-x-4-w2-2022-61-2022","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4280580203","name":"Behavior-Centered Digital-Twin Design for Dynamic Cyber-Physical System Development","source":"openalex","abstract":"Digital Twins are digital models of Cyber-Physical Systems to enable not only continuous monitoring but also active functional improvement of networked services, physical products, machines and devices. This capacity is of utmost importance when recognizing and exploring business opportunities in terms of organizational and technology innovations, as well as enriching the scope of system-relevant applications. Before being operated in their target ecosystems, such as smart cities, Cyber-Physical Systems can be validated and be run as Digital Twin through executable behavior models. The development of these models captures both, the horizontal, and the vertical integration of CPS components, thus allowing to consider specific system qualities, such as pollution effects of traffic. This article investigates methodological and technological aspects of developing and operating Digital Twins along system transformation processes. We consider integration depth and breadth, connectivity, organizational intelligence, validation, and implementation variability in the context of human-centered modeling and development. The approach enriches the understanding of digital twins towards digital representation of Cyber-Physical Systems allowing for dynamic allocation of physical and digital parts according to operational conditions. An exemplary case study in traffic management demonstrates the feasibility and practicability of the communication-centered approach.","url":"https://doi.org/10.7250/csimq.2022-30.02","authors":["Christian Stary","Matthes Elstermann","Albert Fleischmann","InterAktiv Unternehmensberatung, Pfaffenhofen, Germany","Werner Schmidt"],"tags":["Cyber-physical system","Computer science","Scope (computer science)","Digital transformation","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-30","doi":"https://doi.org/10.7250/csimq.2022-30.02","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2971656255","name":"The development of Pilot Production Environments based on Digital Twins and Virtual Dashboards","source":"openalex","abstract":"Developing or adjusting production environments requires joint decision-making by stakeholders from many disciplines at different levels of aggregation, because of the significant, unpredictable, and risky investments involved. Especially, the relations between the design of the product (portfolio) and the environments in which they are produced are intricate. Pilot production environments offer a platform to develop, test, improve, and upscale (parts of) a production environment. In this, the interactions between (changes in) product design and anticipated or envisaged production environments can be assessed. Pilot production environments consist of physical and virtual components that are integrated, based on digital twin concepts. These concepts synthesise sensoring/measurement (in situ and ex situ) with the modelling and simulation of existing and evolving resources/processes at operational, tactical, and strategic levels. The digital twin evolves with the development cycle through the entire value chain, providing structure while giving meaningful access to tools, methods, and captured data. So-called Virtual Dashboards supplement the pilot plant to provide an insightful basis for decision-making for all the perspectives and stakeholders involved. They build on the realm of information, models, scenarios, simulations, tools, and techniques available, allowing stakeholders to address specific subjects or aspects of a production environment. Approaches to making virtual dashboards instrumental range from smart information sets, via simulations, infographics, 3D models, and visualisations to full-blown virtual reality or augmented reality applications.","url":"https://doi.org/10.1016/j.procir.2019.04.228","authors":["Eric Lutters","Roy Damgrave"],"tags":["Production (economics)","Computer science","Systems engineering","New product development","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2019.04.228","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2162447676","name":"Detection of the Baryon Acoustic Peak in the Large‐Scale Correlation Function of SDSS Luminous Red Galaxies","source":"openalex","abstract":"We present the large-scale correlation function measured from a spectroscopic sample of 46,748 luminous red galaxies from the Sloan Digital Sky Survey. The survey region covers 0.72 h -3 Gpc 3 over 3816 deg 2 and 0.16 < z < 0.47, making it the best sample yet for the study of large-scale structure. We find a well-detected peak in the correlation function at 100 h -1 Mpc separation that is an excellent match to the predicted shape and location of the imprint of the recombination-epoch acoustic oscillations on the low-redshift clustering of matter. This detection demonstrates the linear growth of structure by gravitational instability between z ≈ 1000 and the present and confirms a firm prediction of the standard cosmological theory. The acoustic peak provides a standard ruler by which we can measure the ratio of the distances to z = 0.35 and z = 1089 to 4% fractional accuracy and the absolute distance to z = 0.35 to 5% accuracy. From the overall shape of the correlation function, we measure the matter density Ω m h 2 to 8% and find agreement with the value from cosmic microwave background (CMB) anisotropies. Independent of the constraints provided by the CMB acoustic scale, we find Ω m = 0.273 ± 0.025 + 0.123(1 + w 0 ) + 0.137Ω K . Including the CMB acoustic scale, we find that the spatial curvature is Ω K = -0.010 ± 0.009 if the dark energy is a cosmological constant. More generally, our results provide a measurement of cosmological distance, and hence an argument for dark energy, based on a geometric method with the same simple physics as the microwave background anisotropies. The standard cosmological model convincingly passes these new and robust tests of its fundamental properties.","url":"https://doi.org/10.1086/466512","authors":["Daniel J. Eisenstein","Idit Zehavi","David W. Hogg","Roman Scoccimarro","Michael R. Blanton","Robert C. Nichol","Ryan Scranton","Hee‐Jong Seo","Max Tegmark","Zheng Zheng","Scott F. Anderson","Jim Annis","Neta Bahcall","Jon Brinkmann","Scott Burles","Francisco J. Castander","Andrew Connolly","Istvan Csabai","Mamoru Doi","Masataka Fukugita","Joshua A. Frieman","Karl Glazebrook","James E. Gunn","John S. Hendry","Gregory Hennessy","Zeljko Ivezić","Stephen Kent","Gillian R. Knapp","Huan Lin","Yeong‐Shang Loh","Robert H. Lupton","Bruce Margon","Timothy A. McKay","Avery Meiksin","Jeffery A. Munn","Adrian Pope","Michael W. Richmond","David Schlegel","Donald P. Schneider","Kazuhiro Shimasaku","Christopher Stoughton","Michael A. Strauss","Mark SubbaRao","Alexander S. Szalay","Istvan Szapudi","Douglas L. Tucker","Brian Yanny","Donald G. York"],"tags":["Physics","Baryon acoustic oscillations","Cosmic microwave background","Astrophysics","Correlation function (quantum field theory)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2005-11-07","doi":"https://doi.org/10.1086/466512","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4401169986","name":"Harnessing Digital Twins in Construction: A Comprehensive Review of Current Practices, Benefits, and Future Prospects","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4882831","authors":["Dimitrios Sargiotis"],"tags":["Current (fluid)","Political science","Engineering ethics","Engineering","Electrical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.2139/ssrn.4882831","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4283646555","name":"Machine-Learning-Based Digital Twin in Manufacturing: A Bibliometric Analysis and Evolutionary Overview","source":"openalex","abstract":"The Digital Twin (DT) concept in the manufacturing industry has received considerable attention from researchers because of its versatile application potential. Machine Learning (ML) adds a new dimension to DT by enhancing its functionality. Many studies on DT in the manufacturing industry have recently been published. However, there is still a lack of a systematic literature review on different aspects of ML-based DT in the manufacturing industry from a bibliometric and evolutionary perspective. Therefore, the proposed study is mainly aimed at reviewing DT in the manufacturing industry to identify the contribution of ML, current methods, and future research directions. According to the findings, the contribution of ML to this domain is significant. Additionally, the results show that the latest ML technologies are being used in the DT domain; neural networks have evolved based on application-specific requirements. The total number of papers and citations per paper on ML-based DT is increasing. The relevance of ML in DT has increased over time. The current trend is to use ML-based DT for data analytics. Additionally, there are many unfilled gaps; certain gaps include industrial applications of DT, synchronisation with real-time data through sensors, heterogeneous data management, and benchmarking.","url":"https://doi.org/10.3390/app12136512","authors":["Sharmin Sultana Sheuly","Mobyen Uddin Ahmed","Shahina Begum"],"tags":["Benchmarking","Industry 4.0","Computer science","Domain (mathematical analysis)","Relevance (law)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-27","doi":"https://doi.org/10.3390/app12136512","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4392435005","name":"Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijhydene.2024.02.309","authors":["Ermias Girma Aklilu","Tijani Bounahmidi"],"tags":["Methanol","Biochemical engineering","Workflow","Process engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-03","doi":"https://doi.org/10.1016/j.ijhydene.2024.02.309","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4412788138","name":"Supply Chain Resilience: A Critical Review of Risk Mitigation, Robust Optimisation, and Technological Solutions and Future Research Directions","source":"openalex","abstract":"Abstract This study systematically evaluates the literature of supply chain resilience by integrating bibliometric and network analysis techniques. This analysis is conducted following the dynamic capability, as a theoretical lens, to understand and analyse supply chain resilience. We extracted and curated 294 peer‐reviewed articles from leading academic databases, Web of Science and Scopus, covering the period from January 2000 to 2024. We applied two complementary network analysis methods, a keyword co‐occurrence network (KCON) to analyse the frequency and interrelationships among key terms, and a research focus parallelship network (RFPN) to map the connectivity among research streams. These analytical approaches revealed three distinct research clusters, optimisation for supply chain resilience, technology adoption for supply chain resilience, and resilience strategies against disruptions and risk management. By linking emerging trends in digital transformation with traditional risk management practices, this study offers a new perspective for both academic inquiry and managerial practice. Practically, integrating digital technologies, especially digital twin and machine learning, into risk management processes offers a strategic roadmap for real-time monitoring and decision-making in supply chain resilience. Furthermore, this study identifies significant research gaps, including an exploration of micro‐level dynamics within organisations, and the development of advanced simulation techniques and robust approaches to manage uncertainties.","url":"https://doi.org/10.1007/s40171-025-00458-8","authors":["Seyed Ashkan Hosseini Shekarabi","Reza Kiani Mavi","Flávio Macau"],"tags":["Resilience (materials science)","Supply chain","Risk analysis (engineering)","Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-31","doi":"https://doi.org/10.1007/s40171-025-00458-8","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4297721798","name":"Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-16245-9_8","authors":["Ruth Dirnfeld","Lorenzo De Donato","Francesco Flammini","Mehdi Saman Azari","Valeria Vittorini"],"tags":["Computer science","Interoperability","Predictability","Focus (optics)","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-031-16245-9_8","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4221057367","name":"Operator 5.0: A Survey on Enabling Technologies and a Framework for Digital Manufacturing Based on Extended Reality","source":"openalex","abstract":"The industrial landscape is undergoing a series of fundamental changes, because of the advances in cutting-edge digital technologies. Under the framework of Industry 4.0 engineers have focused their effort on the development of new frameworks integrating digital technologies such as Big Data Analytics, Digital Twins, Extended Reality, and Artificial Intelligence, to upscale modern manufacturing systems, reduce uncertainties, and cope with the increased market volatility. However, in the upcoming industrial revolution, i.e., Industry 5.0, the research focus will be directed towards the new generation of human operators, the Operator 5.0. The purpose of this paper is to investigate the key technologies that will be the drivers towards the realization of the Operator 5.0 and to highlight the key challenges. Additional contribution is the proposal of a framework for the training and support of shopfloor technicians based on the utilization of Mixed Reality for manufacturing processes.","url":"https://doi.org/10.36897/jme/147160","authors":["Dimitris Mourtzis","John Angelopoulos","Nikos Panopoulos"],"tags":["Personalization","Manufacturing engineering","Lean manufacturing","Computer science","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-08","doi":"https://doi.org/10.36897/jme/147160","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4378574128","name":"AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education","source":"openalex","abstract":"Prototyping and validating hardware–software components, sub-systems and systems within the intelligent transportation system-of-systems framework requires a modular yet flexible and open-access ecosystem. This work presents our attempt to develop such a comprehensive research and education ecosystem, called AutoDRIVE, for synergistically prototyping, simulating and deploying cyber-physical solutions pertaining to autonomous driving as well as smart city management. AutoDRIVE features both software as well as hardware-in-the-loop testing interfaces with openly accessible scaled vehicle and infrastructure components. The ecosystem is compatible with a variety of development frameworks, and supports both single- and multi-agent paradigms through local as well as distributed computing. Most critically, AutoDRIVE is intended to be modularly expandable to explore emergent technologies, and this work highlights various complementary features and capabilities of the proposed ecosystem by demonstrating four such deployment use-cases: (i) autonomous parking using probabilistic robotics approach for mapping, localization, path-planning and control; (ii) behavioral cloning using computer vision and deep imitation learning; (iii) intersection traversal using vehicle-to-vehicle communication and deep reinforcement learning; and (iv) smart city management using vehicle-to-infrastructure communication and internet-of-things.","url":"https://doi.org/10.3390/robotics12030077","authors":["Tanmay Vilas Samak","Chinmay Vilas Samak","Sivanathan Kandhasamy","Venkat Krovi","Ming Xie"],"tags":["Software deployment","Computer science","Modular design","Software","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-26","doi":"https://doi.org/10.3390/robotics12030077","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3137941580","name":"Validation of Complex Control Systems with Heterogeneous Digital Models in Industry 4.0 Framework","source":"openalex","abstract":"The precise evaluation of the system design and characteristics is a challenge for experts and engineers. This paper considers the problem of the development and application of a digital twin to assess cyberphysical systems. We analyze the details of digital twin applications at different lifecycle stages. The work reviews and summarizes properties of models concerning the digital and physical components of a cyberphysical system (CPS). The other issue of a CPS is increasing cybersecurity threat for objects, so special attention is paid to the heterogeneous digital twin usage scenarios to improve CPS cybersecurity. The article also details the heterogeneous digital twin’s implementation for a real upper-level control system of a nuclear power plant. The presented heterogeneous digital twin combines virtual machines with real equipment, namely hardware-in-the-loop (HiL) components. The achievements and drawbacks of the implemented model, including single timescale maintaining challenges, are discussed.","url":"https://doi.org/10.3390/machines9030062","authors":["Kirill Semenkov","Vitaly Promyslov","Alexey Poletykin","Nadir Mengazetdinov"],"tags":["Computer science","Control (management)","Systems engineering","Distributed computing","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-14","doi":"https://doi.org/10.3390/machines9030062","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4388735352","name":"Decentralized digital twins of complex dynamical systems","source":"openalex","abstract":"In this article, we introduce a decentralized digital twin (DDT) modeling framework and its potential applications in computational science and engineering. The DDT methodology is based on the idea of federated learning, a subfield of machine learning that promotes knowledge exchange without disclosing actual data. Clients can learn an aggregated model cooperatively using this method while maintaining complete client-specific training data. We use a variety of dynamical systems, which are frequently used as prototypes for simulating complex transport processes in spatiotemporal systems, to show the viability of the DDT framework. Our findings suggest that constructing highly accurate decentralized digital twins in complex nonlinear spatiotemporal systems may be made possible by federated machine learning.","url":"https://doi.org/10.1038/s41598-023-47078-9","authors":["Omer San","Suraj Pawar","Adil Rasheed"],"tags":["Variety (cybernetics)","Computer science","Complex system","Dynamical systems theory","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-16","doi":"https://doi.org/10.1038/s41598-023-47078-9","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3009364101","name":"Evaluation of Industry 4.0 Data formats for Digital Twin of Optical Components","source":"openalex","abstract":"Abstract A wide range of software and hardware components are present in today’s production systems and plants using a variety of interfaces and data formats for information exchange on different levels of the system. To increase the traceability, the lifecycle management and providing a single point of source of component-specific data, the Digital Twin technology is proposed, linking different data sets tailored to the requirements of different kind of users (e.g., machines, technicians, logistics, manufacturing execution systems). The data exchange between entities in the manufacturing network relies on machine-readable, flexible and self-describing data formats. When implementing or integrating different components into complex systems, the interoperability challenge is a major concern to address by the system designers and becomes a central task for the creation and integration of Digital Twin technology. In this paper, we evaluate different formats that are used in real environments and create a requirements framework for an ideal format for exchanging flexible and self-describing data in context of optical components manufacturing process and their special requirements.","url":"https://doi.org/10.1007/s40684-020-00196-5","authors":["Arno Schmetz","Tae Hun Lee","Maximilian Hoeren","Marvin Berger","Susanne Ehret","Daniel Zontar","Soo‐Hong Min","Sung‐Hoon Ahn","Christian Brecher"],"tags":["Computer science","Interoperability","Component (thermodynamics)","Traceability","Data exchange"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-02","doi":"https://doi.org/10.1007/s40684-020-00196-5","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4411379553","name":"Hospital at home digital twin for the management of patients with frailty: a scoping review protocol","source":"europepmc","abstract":"INTRODUCTION: Patients with frailty are at risk of adverse outcomes such as mortality, falls, deconditioning and hospital readmissions. With an increasingly ageing population and a greater likelihood of frailty, there is a significant need to ensure that patients are managed in the right place and at the right time. There has been a focus on offering hospital-level care at home as a way to meet this need, incorporating strategies to integrate care and use digital solutions. Digital twin (DT) technology is one advancement, offering a virtual replica of an object/environment, which has the potential to make use of real-time data personalised for an individual patient and/or setting to inform and support patient management decisions. We are yet to realise the full potential of this new way of integrated working and technological advancements. This scoping review aims to ascertain the current evidence for the components of the DT architecture to enable the monitoring and management of patients with frailty living at home. METHODS: This scoping review will follow the Joanna Briggs Institute methodology for scoping reviews and will be reported following the Preferred Reporting Items for Systematic Reviews Extension for Scoping Reviews guidelines. The following electronic databases will be searched: Medline, Embase, CINAHL, Cochrane CENTRAL, Web of Science and Scopus. Relevant websites will be searched for grey literature or case reports to capture the required information, as well as any documents provided by stakeholders. Primary studies, published in the English language from 2019 to the present day, which report on the monitoring or management of patients with long-term conditions and frailty within their home environment, will be included. Screening will be conducted by at least two independent reviewers against eligibility criteria, and a piloted data extraction form will be used to align with the research questions. Qualitative content analysis will be used. Data will be presented in tabular form, as well as descriptive and illustrative formats, to address the objectives of this review. ETHICS AND DISSEMINATION: This scoping review does not require ethical approval. The findings of this review will be disseminated through peer-reviewed journals and conferences and will support the development of a conceptual model of a hospital-at-home DT for the management of patients with frailty.","url":"https://doi.org/10.1136/bmjopen-2024-093418","authors":["Faiza Yahya","Matthew Cooper","Mohamad Kassem","Hamde Nazar"],"tags":["CINAHL","Medicine","MEDLINE","Grey literature","Scopus"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1136/bmjopen-2024-093418","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W2955774370","name":"Virtual Commissioning – Scientific review and exploratory use cases in advanced production systems","source":"openalex","abstract":"Virtual Commissioning increases quality and efficiency in production engineering whilst also decreasing required time. Even though it is a foundation for state-of-the-art production systems, it is not in widespread use yet. In this contribution, an overview of current scientific approaches and use cases for Virtual Commissioning is given. Furthermore, additional fields of interest are derived and detailed on exploratory use cases. The findings show that Virtual Commissioning is a crucial factor to engineering of advanced, sustainable production systems as well as a cornerstone of the Digital Twin.","url":"https://doi.org/10.1016/j.procir.2019.03.278","authors":["Tobias Lechler","Eva Fischer","Maximilian Metzner","Andreas Mayr","Jörg Franke"],"tags":["Project commissioning","Production (economics)","Quality (philosophy)","Cornerstone","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.procir.2019.03.278","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4392974884","name":"Digital twinning for smart restoration of classic cars","source":"openalex","abstract":"Classic cars hold substantial value in the automotive industry, and the restoration process plays a pivotal role in increasing their worth. Ensuring the certification of these restoration processes is vital, as is keeping owners well-informed about the ongoing procedures taking place in their appreciated vehicles. By monitoring and controlling these restoration activities, the management of classic car workshops can effectively optimize their operations, empower owners with pertinent information, and preserve the authentic nature of these vintage automobiles. This study aims to develop a digital twin system for a classic car bodywork restoration shop workshop. The latter integrates multiple sensor technologies, including location tracking, humidity and temperature sensing, accelerometer monitoring, and smart plugs, to facilitate the identification of ongoing activities of classic car bodywork restoration process instances. By leveraging these sensors, the digital twin system may simulate and control workshop operations more effectively. We perform a systematic rapid review of related work and, based on state-of-the-art practices, we identify existing architectures and software applications used for creating digital twin systems. Then, we propose the architecture for our digital twin system, detailing its functionalities. We aim at contributing to advancing digital twin technology in classic car bodywork restoration, enhancing its authenticity, and fostering improved management practices, and overall experience for classic car owners.","url":"https://doi.org/10.1016/j.procs.2024.02.070","authors":["Frederico Castelo Ferreira","Vasco Amaral","Fernando Brito e Abreu"],"tags":["Computer science","Crystal twinning","Computer security","Human–computer interaction","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procs.2024.02.070","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4295923823","name":"Contact.engineering-Create, analyze and publish digital surface twins from topography measurements across many scales","source":"openalex","abstract":"The optimization of surface finish to improve performance occurs largely through trial and error, despite significant advancements in the relevant science. There are three central challenges that account for this disconnect: (1) the challenge of integration of many different types of measurement for the same surface to capture the multi-scale nature of roughness; (2) the technical complexity of implementing spectral analysis methods, and of applying mechanical or numerical models to describe surface performance; (3) a lack of consistency between researchers and industries in how surfaces are measured, quantified, and communicated. Here we present a freely-available internet-based application which attempts to overcome all three challenges. First, the application enables the user to upload many different topography measurements taken from a single surface, including using different techniques, and then integrates all of them together to create a digital surface twin. Second, the application calculates many of the commonly used topography metrics, such as root-mean-square parameters, power spectral density (PSD), and autocorrelation function (ACF), as well as implementing analytical and numerical calculations, such as boundary element modeling (BEM) for elastic and plastic deformation. Third, the application serves as a repository for users to securely store surfaces, and if they choose, to share these with collaborators or even publish them (with a digital object identifier) for all to access. The primary goal of this application is to enable researchers and manufacturers to quickly and easily apply cutting-edge tools for the characterization and properties-modeling of real-world surfaces. An additional goal is to advance the use of open-science principles in surface engineering by providing a FAIR database where researchers can choose to publish surface measurements for all to use.","url":"https://doi.org/10.1088/2051-672x/ac860a","authors":["Michael Clemens Röttger","Antoine Sanner","Luke A. Thimons","Till Junge","Abhijeet Gujrati","Joseph M. Monti","Wolfram G. Nöhring","Tevis D. B. Jacobs","Lars Pastewka"],"tags":["Computer science","Consistency (knowledge bases)","The Internet","Identifier","Surface roughness"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-25","doi":"https://doi.org/10.1088/2051-672x/ac860a","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2049392072","name":"Terahertz in-line digital holography of human hepatocellular carcinoma tissue","source":"openalex","abstract":"Terahertz waves provide a better contrast in imaging soft biomedical tissues than X-rays, and unlike X-rays, they cause no ionisation damage, making them a good option for biomedical imaging. Terahertz absorption imaging has conventionally been used for cancer diagnosis. However, the absorption properties of a cancerous sample are influenced by two opposing factors: an increase in absorption due to a higher degree of hydration and a decrease in absorption due to structural changes. It is therefore difficult to diagnose cancer from an absorption image. Phase imaging can thus be critical for diagnostics. We demonstrate imaging of the absorption and phase-shift distributions of 3.2 mm × 2.3 mm × 30-μm-thick human hepatocellular carcinoma tissue by continuous-wave terahertz digital in-line holography. The acquisition time of a few seconds for a single in-line hologram is much shorter than that of other terahertz diagnostic techniques, and future detectors will allow acquisition of meaningful holograms without sample dehydration. The resolution of the reconstructions was enhanced by sub-pixel shifting and extrapolation. Another advantage of this technique is its relaxed minimal sample size limitation. The fibrosis indicated in the phase distribution demonstrates the potential of terahertz holographic imaging to obtain a more objective, early diagnosis of cancer.","url":"https://doi.org/10.1038/srep08445","authors":["Lü Rong","Tatiana Latychevskaia","Chunhai Chen","Dayong Wang","Zhengping Yu","Xun Zhou","Zeyu Li","Haochong Huang","Yunxin Wang","Zhou Zhou"],"tags":["Terahertz radiation","Hepatocellular carcinoma","Holography","Computer science","Medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-02-13","doi":"https://doi.org/10.1038/srep08445","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3119956380","name":"Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review","source":"openalex","abstract":"Machining operation optimization improves the quality of the product, reduces cost, enhances overall efficiency by reducing human error, and enables consistent and efficient operation. It is a vital decision-making process and achieves the best solution within constraints. It reduces reliance on machine-tool technicians and handbooks to identify cutting parameters, as a lack of awareness of the optimal combination of machining parameters leads to several machining inefficiencies. Subsequently, the optimization of the machining process is more useful for units of production, particularly machining units. In multi-objective optimization (MOO) problems, weights of importance are assigned, mostly identical. But, nowadays, the weights assignment techniques have received a lot of consideration from the professionals and researchers in MOO problems. Various techniques are developed to assign weights of significance to responses in MOO. The Entropy weights method (EWM) continues to work pleasingly across diverse machining operations to allocate objective weights. In this paper, a literature review is conducted to classify the articles on EWM applications in machining operations. The categorization proposal for the EWM reviews included 65 academic articles from different journals, books, and conferences since the year 2009. The EWM applications were separated into 18 categories of conventional and non-conventional machining operations. The implementation procedure of EWM is presented with an example along with method development. Scholarly articles in the EWM applications are further inferred based on (1) implementation of EWM in different machining operations, (2) MOO methods used with entropy weights in machining operations, (3) application of entropy weights by citation index and publication year, and (4) entropy weights applications in other fields. The review paper provided constructive insight into the EWM applications and ended with suggestions for further research in machining and different areas.","url":"https://doi.org/10.1016/j.jmrt.2020.12.114","authors":["Raman Kumar","Sehijpal Singh","Paramjit Singh Bilga","Jatin","Jasveer Singh","Sunpreet Singh","Maria Luminița Scutaru","Catalin I. Pruncu"],"tags":["Machining","Categorization","Computer science","Entropy (arrow of time)","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.jmrt.2020.12.114","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3210115579","name":"Low- and high-fidelity modeling of sandwich-structured composite response to bird strike, as tools for a digital-twin-assisted damage diagnosis","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijimpeng.2021.104058","authors":["E. Giannaros","Αθανάσιος Κοτζακόλιος","Vassilis Kostopoulos","George Sotiriadis","Rade Vignjević","Nenad Djordjevic","Marco Boccaccio","Michele Meo"],"tags":["Structural engineering","High fidelity","Composite number","Delamination (geology)","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-22","doi":"https://doi.org/10.1016/j.ijimpeng.2021.104058","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4408785803","name":"Model-driven engineering for digital twins: a systematic mapping study","source":"openalex","abstract":"Abstract Digital twins (DTs) are proliferating in a multitude of domains, including agriculture, automotive, avionics, logistics, manufacturing, medicine, smart homes, etc. As domain experts and software experts both have to contribute to the engineering of effective DTs, several model-driven engineering (MDE) approaches have been recently proposed to ease the design, development, and operation of DTs. However, the diversity of domains in which MDE is currently applied to DTs, as well as the diverse landscape of DTs and MDE applications to DTs, makes it challenging for researchers and practitioners to get an overview of what techniques and artifacts are already applied in this context. In this paper, we shed light on the aforementioned aspects by performing a systematic mapping study on the application of MDE automation techniques, i.e., model-to-model transformation, code generation, and model interpretation, in the context of DTs as well as on the characteristics of DTs including the twinned systems to which these techniques are applied in different domains. We systematically retrieved a set of 189 unique publications, of which 66 were selected for further investigation in this paper. Our results indicate that the distribution of employed MDE techniques (136 applications of automation techniques) is balanced between the different techniques, but there are significant variations for different DT types. With respect to the different domains, we found that even though applications are available in many domains, a small number of domains currently dominate applications of MDE to DTs, i.e., more than half of included papers are in the manufacturing and transportation domains.","url":"https://doi.org/10.1007/s10270-025-01264-7","authors":["Daniel Lehner","Jingxi Zhang","Jérôme Pfeiffer","Sabine Sint","Ann-Kathrin Splettstößer","Manuel Wimmer","Andreas Wortmann"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-24","doi":"https://doi.org/10.1007/s10270-025-01264-7","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W7129105533","name":"Variational Mechanics for Mining Infrastructure Design: A Systematic Review from Hamilton’s Principle to Physics-Constrained Optimization and Digital Twins","source":"openalex","abstract":"This article presents a systematic synthesis of variationally grounded approaches for the design and optimization of mining structural infrastructure. This study is motivated by the critical need to ensure stiffness, reliability, and operational availability under severe loading, mass constraints, and aggressive environmental conditions. Methodologically, the study situates structural modeling and synthesis within the continuity of the principle of stationary action. It demonstrates that, in the quasi-static regime, structural equilibrium is obtained as the stationarity of the total potential energy; consequently, the finite element method (FEM) arises naturally as a Ritz–Galerkin approximation of this underlying variational statement. On this basis, topology optimization is interpreted as a physics-constrained optimization problem wherein the design is posed as an outer optimality level acting over an energetically defined state. It is worth noting that SIMP-based formulations require explicit regularization to define the effective problem being solved. Emphasis is placed on the traceability between physical assumptions, discretization choices, regularization, and the resulting structural interpretations. The core contribution of this paper is a systematic literature review that consolidates evidence across variational mechanics, FEM-based optimization, and industrial applications, identifying recurrent methodological patterns and gaps that currently limit transfer to mining practice. Furthermore, a fully specified illustrative case is included to demonstrate reporting discipline and methodological consistency, rather than as a validation of a new optimization method. The conclusions highlight that a variational reading provides a coherent theoretical backbone for structural analysis, synthesis, simulation, and physics-based digital twins, while also clarifying the extensions required for industrial deployment, such as stability constraints, manufacturability, and multiphysics coupling within Mining 4.0 workflows.","url":"https://doi.org/10.3390/math14040689","authors":["Luis Rojas","Yuniel Martinez","Álex Paz","Álvaro Peña","José García"],"tags":["Discretization","Computer science","Mathematical optimization","Optimization problem","Multiphysics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-15","doi":"https://doi.org/10.3390/math14040689","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4405850794","name":"Systematic literature review of digital and green transformation of manufacturing SMEs in Europe","source":"openalex","abstract":"The digital and green transformation of the manufacturing industry is gaining attention in research and practice, often referred to as twin transition. However, understanding twin transitions in SMEs is limited. This study aims to analyze the extant literature and provide a comprehensive review of the existing research on the twin transition of manufacturing SMEs in Europe. The authors conducted a protocol-driven systematic literature review of 42 papers to identify the existing assessment frameworks and readiness models . Furthermore, 20 barriers and five enablers of the twin transition were identified and classified from the micro-meso-macro perspective. The developed framework offers a systematic strategy for companies to move to a digital and green enterprise through stages of awareness, acceptance, readiness, implementation, and post-implementation. The study findings reveal possible future directions in research on the twin transition and can serve as a guide to manufacturing SMEs in their transition to digital and green.","url":"https://doi.org/10.1080/21693277.2024.2443166","authors":["A Abilakimova","Merja Bauters","Abiodun Afolayan Ogunyemi","Anar Abilakimova"],"tags":["Transformation (genetics)","Digital transformation","Business","Computer science","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-27","doi":"https://doi.org/10.1080/21693277.2024.2443166","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4319319830","name":"Overview of battery energy storage systems readiness for digital twin of electric vehicles","source":"openalex","abstract":"Abstract The demand for energy is a relevant topic in the field of science and engineering, which has been discussed throughout the last years due to the challenges of climate change and environmental concerns around the world. Currently, electric vehicles (EVs) offer a source of mobility that emphasises the use of energy storage devices to reduce CO 2 emissions. The growing development of advanced data analytics and the Internet of Things has driven the implementation of the Digital Twin (DT), all to improve efficiency in the build, design and operation of the system. Regarding the components of EVs, the batteries are considered as the most expensive elements to analyse according to the State of Health and the State of Charge, which lead to implement the most optimal models, along with a DT for battery systems. The present article provides a literature review about the current development trends of EVs' energy storage technologies, with their corresponding battery systems, which gives an overview to understand different type of models and to identify future challenges in the industrial sector. Additionally, a solid explanation of the DT focussed on battery systems for EVs is discussed, highlighting some study cases, characteristics, and technological opportunities.","url":"https://doi.org/10.1049/stg2.12101","authors":["Rolando Gilbert Zequera","Anton Rassõlkin","Toomas Vaimann","Ants Kallaste"],"tags":["Battery (electricity)","Energy storage","Computer science","Systems engineering","New energy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-01","doi":"https://doi.org/10.1049/stg2.12101","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3036700726","name":"A Review of Machine Learning Approaches to Power System Security and Stability","source":"openalex","abstract":"Increasing use of renewable energy sources, liberalized energy markets and most importantly, the integrations of various monitoring, measuring and communication infrastructures into modern power system network offer the opportunity to build a resilient and efficient grid. However, it also brings about various threats of instabilities and security concerns in form of cyberattack, voltage instability, power quality (PQ) disturbance among others to the complex network. The need for efficient methodologies for quicker identification and detection of these problems have always been a priority to energy stakeholders over the years. In recent times, machine learning techniques (MLTs) have proven to be effective in numerous applications including power system studies. In the literature, various MLTs such as artificial neural networks (ANN), Decision Tree (DT), support vector machines (SVM) have been proposed, resulting in effective decision making and control actions in the secured and stable operations of the power system. Given this growing trend, this paper presents a comprehensive review on the most recent studies whereby MLTs were developed for power system security and stability especially in cyberattack detections, PQ disturbance studies and dynamic security assessment studies. The aim is to highlight the methodologies, achievements and more importantly the limitations in the classifier(s) design, dataset and test systems employed in the reviewed publications. A brief review of reinforcement learning (RL) and deep reinforcement learning (DRL) approaches to transient stability assessment is also presented. Finally, we highlighted some challenges and directions for future studies.","url":"https://doi.org/10.1109/access.2020.3003568","authors":["Oyeniyi Akeem Alimi","Khmaies Ouahada","Adnan M. Abu‐Mahfouz"],"tags":["Computer science","Electric power system","Reinforcement learning","Artificial intelligence","Decision tree"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1109/access.2020.3003568","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4304187571","name":"The world’s first digital cell twin in cancer electrophysiology: a digital revolution in cancer research?","source":"openalex","abstract":"BACKGROUND: The introduction of functional in-silico models, in addition to in-vivo tumor models, opens up new and unlimited possibilities in cancer research and drug development. The world's first digital twin of the A549 cell's electrophysiology in the human lung adenocarcinoma, unveiled in 2021, enables the investigation and evaluation of new research hypotheses about modulating the function of ion channels in the cell membrane, which are important for better understanding cancer development and progression, as well as for developing new drugs and predicting treatments. MAIN BODY: The developed A549 in-silico model allows virtual simulations of the cell's rhythmic oscillation of the membrane potential, which can trigger the transition between cell cycle phases. It is able to predict the promotion or interruption of cell cycle progression provoked by targeted activation and inactivation of ion channels, resulting in abnormal hyper- or depolarization of the membrane potential, a potential key signal for the known cancer hallmarks. For example, model simulations of blockade of transient receptor potential cation channels (TRPC6), which are highly expressed during S-G2/M transition, result in a strong hyperpolarization of the cell's membrane potential that can suppress or bypass the depolarization required for the S-G2/M transition, allowing for possible cell cycle arrest and inhibition of mitosis. All simulated research hypotheses could be verified by experimental studies. SHORT CONCLUSION: Functional, non-phenomenological digital twins, ranging from single cells to cell-cell interactions to 3D tissue models, open new avenues for modern cancer research through \"dry lab\" approaches that optimally complement established in-vivo and in-vitro methods.","url":"https://doi.org/10.1186/s13046-022-02507-x","authors":["Christian Baumgärtner"],"tags":["Cancer cell","Cell cycle","Biology","Depolarization","Cell"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-11","doi":"https://doi.org/10.1186/s13046-022-02507-x","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W1447578374","name":"Transvaginal cervical length scans to prevent prematurity in twins: a randomized controlled trial","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ajog.2015.08.065","authors":["Michael C. Gordon","David S. McKenna","Theresa L. Stewart","Bobby Howard","Kimberly F. Foster","Kenneth Higby","Rebecca L. Cypher","William H. Barth"],"tags":["Medicine","Obstetrics","Gestational age","Randomized controlled trial","Gestation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-09-11","doi":"https://doi.org/10.1016/j.ajog.2015.08.065","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4391992713","name":"Unlocking the Potential: A Review of Digital Twins and Integration with Emerging Technologies","source":"openalex","abstract":"Abstract— The Digital Twin (DT) is primarily used to digitally represent a physical object, process, or service. Simply put, DT is a clone representation of a physical object in the real world, such as wind farms, objects like a building or even an entire city. The key uses of technology are to collaborate, train, and simulate processes or products. The results of DT vary greatly depending on the sector and application, but a few key advantages include reducing costs and risks before investing in real-world resources and helping to enhance products or processes over their entire life cycles. The integration of the digital Twin with so many various industries, including manufacturing, healthcare, and the growth of urban and rural areas, has enhanced the prominence of this emerging technology. This paper's major goal is to identify ongoing initiatives by numerous engineering fields to apply digital twin technology for sustainable development.","url":"https://doi.org/10.1109/icercs57948.2023.10434145","authors":["Dinesh Babu","S. Geetha","M Aneeshkumar","S. Revathi","Arulprakash","P. Arulprakash"],"tags":["Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-07","doi":"https://doi.org/10.1109/icercs57948.2023.10434145","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4390639373","name":"Adaptive digital twins for energy-intensive industries and their local communities","source":"openalex","abstract":"Digital Twins (DTs) are high-fidelity virtual models that behave-like, look-like and connect-to a physical system. In this work, the physical systems are operations and processes from energy-intensive industrial plants. The creation of DTs demands expertise not just in engineering, but also in computer science, data science, and artificial intelligence. Here, we introduce the Adaptive Digital Twins (ADT) concept, anchored in five attributes inspired by the self-adaptive systems in software engineering. These attributes are self-learning, self-optimising, self-evolving, self-monitoring, and self-protection. This new approach merges cutting-edge computing with pragmatic engineering needs. ADTs can enhance decision-making in both the design phase and real-time operation of industrial facilities and allow for versatile 'what-if' scenario simulations. Seven applications within the energy-intensive industries are described where ADTs could be transformative.","url":"https://doi.org/10.1016/j.dche.2024.100139","authors":["Timothy Gordon Walmsley","Panos Patros","Wei Yu","Brent R. Young","S. M. Burroughs","Mark Apperley","James K. Carson","Isuru A. Udugama","Hattachai Aeowjaroenlap","Martin J. Atkins","Michael R.W. Walmsley"],"tags":["Transformative learning","Computer science","Fidelity","Energy (signal processing)","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-06","doi":"https://doi.org/10.1016/j.dche.2024.100139","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4394946247","name":"Digital Twin Models for Personalised and Predictive Medicine in Ophthalmology","source":"openalex","abstract":"This article explores the integration of Digital Twins in Systems and Predictive Medicine, focusing on eye diagnosis. By utilizing the Digital Twin models, the proposed framework can support early diagnosis and predict evolution after treatment by providing customized simulation scenarios. Furthermore, a structured architectural framework comprising five levels has been proposed, integrating Digital Twin, Systems Medicine, and Predictive Medicine for managing eye diseases. Based on demographic parameters, statistics were performed to identify potential correlations that may contribute to predispositions to glaucoma. With the aid of a dataset, a neural network was trained with the goal of identifying glaucoma. This comprehensive approach, based on statistical analysis and Machine Learning, is a promising method to enhance diagnostic accuracy and provide personalized treatment approaches.","url":"https://doi.org/10.3390/technologies12040055","authors":["Miruna-Elena Iliuţă","Mihnea Alexandru Moisescu","Simona Iuliana Caramihai","Alexandra Cernian","Eugen Pop","Daniel-Ioan Chiş","Traian-Costin Mitulescu"],"tags":["Ophthalmology","Computer science","Medicine","Optometry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-18","doi":"https://doi.org/10.3390/technologies12040055","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3130490277","name":"Machine Learning for Design Optimization of Electromagnetic Devices: Recent Developments and Future Directions","source":"openalex","abstract":"This paper reviews the recent developments of design optimization methods for electromagnetic devices, with a focus on machine learning methods. First, the recent advances in multi-objective, multidisciplinary, multilevel, topology, fuzzy, and robust design optimization of electromagnetic devices are overviewed. Second, a review is presented to the performance prediction and design optimization of electromagnetic devices based on the machine learning algorithms, including artificial neural network, support vector machine, extreme learning machine, random forest, and deep learning. Last, to meet modern requirements of high manufacturing/production quality and lifetime reliability, several promising topics, including the application of cloud services and digital twin, are discussed as future directions for design optimization of electromagnetic devices.","url":"https://doi.org/10.3390/app11041627","authors":["Yanbin Li","Gang Lei","Gerd Bramerdorfer","Sheng Peng","Xiaodong Sun","Jianguo Zhu"],"tags":["Computer science","Artificial intelligence","Reliability (semiconductor)","Machine learning","Topology optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-11","doi":"https://doi.org/10.3390/app11041627","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4388634584","name":"Modeling and Simulation of a Digital Twin of a Production System for Industry 4.0 with Work-in-Process Synchronization","source":"openalex","abstract":"One of the main problems of modern manufacturing systems is the increasing complexity related to modern Industry 4.0 technologies that are fundamentally changing manufacturing and logistics processes and operations. Industry 4.0 includes, e.g., flexible automation and robotization, which make complex manufacturing systems difficult to analyze. Some modeling and simulation methods are being used to solve industrial problems and can serve as an interface between the production level and management level. The new trend of the Digital Twin, creating simulation models as similar as possible to the real system, and a Digital Twin framework for a manufacturing line from the automotive industry, was considered. Simulation models typically start from the empty state and some warmup time is required to achieve the stable state. The Key Performance Indicators were also analyzed for the stable state. However, there are many stochastic parameters such as machinery failures, human errors, quality issues, etc., that make the real processes differ from simulated processes, and cause the instability of production throughput and changes in the Work in Process. To analyze the Work in Process in the model, initialization of the model with proper production data is required, as the Digital Twin uses data synchronization with the production database. In this paper, the digital model of a human-robot-operated manufacturing system with Work-in-Process data synchronization is analyzed, and the results of the statistical analysis of simulation experiments are presented. The obtained results show high variability of finished production, which is related to system instability due to random failures, especially when the system starts from an empty state. However, an increase in initial Work in Process results in better efficiency and stability for the whole system. The DT simulation of the manufacturing system can be very helpful, as it becomes a repository of knowledge about the real system and enables the analysis of its dynamics. However, for proper functionality, the model should include information about the current WIP state, which enables the start of the simulation with exactly the same number of queues as in the real system. The presented method can also be used in similar enterprises from other industries, especially for those with discrete processes or high WIP variability, and for further synchronization of other DT parameters.","url":"https://doi.org/10.3390/app132212261","authors":["Adrian Kampa"],"tags":["Computer science","Synchronization (alternating current)","Process state","Industrial engineering","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-13","doi":"https://doi.org/10.3390/app132212261","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2047214571","name":"Impact of altered loading conditions on ventricular performance in fetuses with congenital cystic adenomatoid malformation and twin–twin transfusion syndrome","source":"openalex","abstract":"OBJECTIVES: In the fetus with a structurally normal heart, two conditions--giant chest mass, such as congenital cystic adenomatoid malformation (CCAM), and twin-twin transfusion syndrome (TTTS)--alter ventricular loading conditions and may result in cardiovascular compromise. The aim of this study was to elucidate the mechanism of cardiovascular dysfunction by comparing geometry-independent, Doppler flow-derived measures of ventricular performance in fetuses with altered loading conditions vs. those in normal fetuses. METHODS: Doppler flow-derived measures of myocardial performance index (MPI) as described by Tei, ventricular ejection force as described by Isaaz, and combined cardiac output (CCO) were obtained by echocardiography in fetuses with a normal cardiovascular system (n = 76) or CCAM (n = 36) and fetal partners with TTTS (n = 22). RESULTS: In the CCAM group, systolic performance as evidenced by the ejection forces was preserved, right ventricular (RV) MPI was increased and CCO diminished, suggesting diastolic dysfunction and poor filling secondary to cardiac compression and a tamponade effect. In TTTS, recipient twins exhibited greater left ventricular (LV) ejection forces and higher CCO than donor twins, and had abnormal RV and LV MPI, reflecting increased preload, preserved left systolic performance, but diastolic dysfunction. Donor twins had diminished ejection forces and CCO in comparison with normal controls and recipient partners, reflecting hypovolemia. CONCLUSIONS: In both CCAM and recipient twins of the TTTS, diastolic dysfunction plays a significant role in the pathophysiology of each disorder and precedes changes in systolic performance. Measures of ventricular performance can help elucidate poorly understood mechanisms of cardiovascular compromise in the developing fetus.","url":"https://doi.org/10.1002/uog.4032","authors":["Anita Szwast","Zhenjun Tian","Margaret McCann","Denise Donaghue","Michael Bebbington","Mark P. Johnson","R. Douglas Wilson","Jack Rychik"],"tags":["Medicine","Cardiology","Internal medicine","Diastole","Fetus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2007-05-29","doi":"https://doi.org/10.1002/uog.4032","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4403189414","name":"Leveraging Digital Twins and Intrusion Detection Systems for Enhanced Security in IoT-Based Smart City Infrastructures","source":"openalex","abstract":"In this research, we investigate the integration of an Intrusion Detection System (IDS) with a Digital Twin (DT) to enhance the cybersecurity of physical devices in cyber–physical systems. Using Eclipse Ditto as the DT platform and Snort as the IDS, we developed a near-realistic test environment that included a Raspberry Pi as the physical device and a Kali Linux virtual machine to perform common cyberattacks such as Hping3 flood attacks and NMAP reconnaissance scans. The results demonstrated that the IDS effectively detected Hping3-based flood attacks but showed limitations in identifying NMAP scans, suggesting areas for IDS configuration improvements. Furthermore, the study uncovered significant system resource impacts, including high Central Processing Unit (CPU) usage during SYN and ACK flood attacks and persistent memory usage after Network Mapper (NMAP) scans, highlighting the need for enhanced recovery mechanisms. This research presents a novel approach by coupling a Digital Twin with an IDS, enabling real-time monitoring and providing a dual perspective on both system performance and security. The integration offers a holistic method for identifying vulnerabilities and understanding resource impacts during cyberattacks. The work contributes new insights into the use of Digital Twins for cybersecurity and paves the way for further research into automated defense mechanisms, real-world validation of the proposed model, and the incorporation of additional attack scenarios. The results suggest that this combined approach holds significant promise for enhancing the security and resilience of IoT devices and other cyber–physical systems.","url":"https://doi.org/10.3390/electronics13193941","authors":["Mohammed El‐Hajj"],"tags":["Internet of Things","Intrusion detection system","Smart city","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-06","doi":"https://doi.org/10.3390/electronics13193941","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4391976580","name":"Combining Green Metrics and Digital Twins for Sustainability Planning and Governance of Smart Buildings and Cities","source":"openalex","abstract":"Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes the multiple facets of sustainable urban planning into consideration has not yet been identified. This paper begins with a review of recent research efforts in green metrics and digital twins. This leads to developing an approach that evaluates organizational green best practices to derive metrics, which are used for computational decision support by digital twins. Furthermore, it leverages these research results and proposes a metric-driven framework for sustainability planning that understands a city as a sociotechnical complex system. Such a framework allows the practitioner to take advantage of recent developments and provides computational decision support for the complex challenge of sustainability planning at the various levels of urban planning and governance.","url":"https://doi.org/10.37247/pasus3ed.3.23.19","authors":["Casey Corrado","Suzanne M. DeLong","Emily Holt","Edward Y. Hua","Andreas Tolk"],"tags":["Sustainability","Corporate governance","Architectural engineering","Environmental planning","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-15","doi":"https://doi.org/10.37247/pasus3ed.3.23.19","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3205411608","name":"Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety","source":"openalex","abstract":"Abstract The number of installed floating offshore wind turbines (FOWTs) has doubled since 2017, quadrupling the total installed capacity, and is expected to increase significantly over the next decade. Consequently, there is a growing consideration towards the main challenges for FOWT projects: monitoring the system’s integrity, extending the lifespan of the components, and maintaining FOWTs safely at scale. Effectively and efficiently addressing these challenges would unlock the wide-scale deployment of FOWTs. In this work, we focus on one of the most critical components of the FOWTs, the Mooring Lines (MoLs), which are responsible for fixing the structure to the seabed. The primary mechanical failure mechanisms in MoLs are extreme load and fatigue, both of which are functions of the axial tension. An effective solution to detect long-term drifts in the mechanical response of the MoLs is to develop a Digital Twin (DT) able to accurately predict the behaviour of the healthy system to compare with the actual one. Moreover, we will develop another DT able to accurately predict the near future axial tension as an effective tool to improve the lifespan of the MoLs and the safety of FOWT maintenance operations. In fact, by changing the FOWT operational settings, according to the DT prediction, operators can increase the lifespan of the MoLs by reducing the stress and, additionally, in the case where FOWT operational maintenance is in progress, the prediction from the DT can serve as early safety warning to operators. Authors will leverage operational data collected from the world’s first commercial floating-wind farm [the Hywind Pilot Park ( https://www.equinor.com/en/what-we-do/floating-wind/hywind-scotland.html .)] in 2018, to investigate the effectiveness of DTs for the prediction of the MoL axial tension for the two scenarios depicted above. The DTs will be developed using state-of-the-art data-driven methods, and results based on real operational data will support our proposal.","url":"https://doi.org/10.1007/s40722-021-00213-y","authors":["Jake M. Walker","Andrea Coraddu","Maurizio Collu","Luca Oneto"],"tags":["Offshore wind power","Marine engineering","Leverage (statistics)","Tower","Software deployment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-24","doi":"https://doi.org/10.1007/s40722-021-00213-y","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4400314785","name":"A Data-Driven Framework for Digital Twin Creation in Industrial Environments","source":"openalex","abstract":"Smart manufacturing uses data generated within manufacturing systems to provide intelligent and flexible control of production processes. To realize the vision of smart manufacturing, digital twins play a key role. As a virtual representation of any real-world counterpart, the digital twin enhances various use cases by providing analytical, simulation and replication capabilities. Most research works focus on potential application scenarios for digital twins within manufacturing. Despite its great potential, few works address the generic creation of digital twins within an industrial environment. To fill this gap, we introduce a data-driven framework for digital twin creation in industrial environments. The core creation process of our framework consists of four vital parts, and the respective data required, to build a digital twin. Before data is even acquired, we argue that individual conditions must be set to determine the overall scope. We further address existing interactions and dependencies between components. To validate the framework, several semi-structured expert interviews are carried out. Furthermore, related works are identified using a systematic literature review - followed by a comparison to our proposed framework.","url":"https://doi.org/10.1109/access.2024.3423372","authors":["Marietheres Dietz","Thomas Reichvilser","Günther Pernul"],"tags":["Computer science","Smart manufacturing","Scope (computer science)","Process (computing)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3423372","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4399042537","name":"Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges","source":"openalex","abstract":"This systematic review meticulously explores the transformative impact of digital technologies on the grid planning, grid operations, and energy market dynamics of power distribution grids. Utilizing a robust methodological framework, over 54,000 scholarly articles were analyzed to investigate the integration and effects of artificial intelligence, machine learning, optimization, the Internet of Things, and advanced metering infrastructure within these key subsections. The literature was categorized to show how these technologies contribute specifically to grid planning, operation, and market mechanisms. It was found that digitalization significantly enhances grid planning through improved forecasting accuracy and robust infrastructure design. In operations, these technologies enable real-time management and advanced fault detection, thereby enhancing reliability and operational efficiency. Moreover, in the market domain, they support more efficient energy trading and help in achieving regulatory compliance, thus fostering transparent and competitive markets. However, challenges such as data complexity and system integration are identified as critical hurdles that must be overcome to fully harness the potential of smart grid technologies. This review not only highlights the comprehensive benefits but also maps out the interdependencies among the planning, operation, and market strategies, underlining the critical role of digital technologies in advancing sustainable and resilient energy systems.","url":"https://doi.org/10.3390/app14114528","authors":["Morteza Aghahadi","Alessandro Bosisio","M. Merlo","Alberto Berizzi","Andrea Pegoiani","Samuele Forciniti"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-25","doi":"https://doi.org/10.3390/app14114528","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4384833581","name":"Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability","source":"openalex","abstract":"Modern power systems are undergoing a rapid evolution toward digitization, facilitated by emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain Technology (BT), and Digital Twins (DT). DT is a promising enabling technology to transform many industries and society. DTs are sophisticated networks of linked systems to simulate the actual world in cyberspace as digital replicas. Such digital replication includes virtualizing a system’s components, operations, interactions, and software. Real-time data connections and information transfer let physical and digital systems coexist. Digital transformation in the energy sector improves technical, economic, and safety efficiency. Energy-related DT solutions in smart cities are intriguing and decision-support tools for stakeholders and decision-makers, but they need additional study and further technological advancements to be more efficient and usable. The article reviews the literature and practices of DT in energy systems in smart cities to provide new insights for future research trajectories. DTs can, among others, enhance cyber security, efficiency, sustainability, and reliability.","url":"https://doi.org/10.1109/fes57669.2023.10182868","authors":["Ümit Cali","Berhane Darsene Dimd","Parisa Hajialigol","Amin Moazami","Sri Nikhil Gupta Gourisetti","Gabriele Lobaccaro","Mohammadreza Aghaei"],"tags":["Digitization","Computer science","Digital transformation","Cyberspace","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-12","doi":"https://doi.org/10.1109/fes57669.2023.10182868","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3195442997","name":"Research status of laser additive manufacturing for metal: a review","source":"openalex","abstract":"Additive manufacturing (AM) especially laser additive manufacturing (LAM), a novel manufacturing technique of layer-by-layer forming according to geometric model, provides a decent option for materials processing. It owns advantages of rapid prototyping, customization, high material utilization, and the ability to form complicated structures. This paper reviews popular LAM techniques of selective laser sintering/melting, laser metal deposition and laser direct writing. The development status of metallic materials including pure metal, steel, superalloy, titanium and aluminum alloy is presented. The challenges and application limitations of LAM are involved and the development trend in the future is forecasted. In summary, this paper gives an overview of metal LAM expecting to made helpful suggestions on future research and development.","url":"https://doi.org/10.1016/j.jmrt.2021.08.050","authors":["Guanghao Gong","Jiajia Ye","Yiming Chi","Zhihuan Zhao","Zifan Wang","Guang Xia","Xueyun Du","Hongfang Tian","Huijun Yu","Chuanzhong Chen"],"tags":["Materials science","Selective laser melting","Selective laser sintering","Rapid prototyping","Laser"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-21","doi":"https://doi.org/10.1016/j.jmrt.2021.08.050","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2104912499","name":"Sensory Processing Problems in Children with ADHD, a Systematic Review","source":"openalex","abstract":"One of the most common psychiatric disorders in children is attention deficit hyperactivity disorder (ADHD). Its course and outcome are heterogeneous. Sensory processing problems impact the nature of response to daily events. ADHD and sensory problems may occur together and interact. No published review article about sensory processing problems in children with ADHD were found. A systematic search, conducted on Pub-Med (up to January 2010), and Google Scholar, yielded 255 abstracts on sensory processing problems in children including 11 studies about sensory problems in children with ADHD. Sensory processing problems in children with ADHD is not a well studied area. Sensory processing problems in children with ADHD are more common than in typically developing children. Findings do not support that ADHD subtypes are distinct disorders with regard to sensory processing problems. However, co-morbidity with oppositional defiant disorder and anxiety are predictors of more severe sensory processing problems in children with ADHD.","url":"https://doi.org/10.4306/pi.2011.8.2.89","authors":["Ahmad Ghanizadeh"],"tags":["Sensory processing","Medicine","Sensory system","Psychology","Cognitive psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2011-01-01","doi":"https://doi.org/10.4306/pi.2011.8.2.89","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4389256487","name":"Tourism in the Metaverse: Digital Twin of a City in the Alps","source":"openalex","abstract":"This demo paper explores a possible way to construct a commercially viable 3D metaverse world, utilizing field studies and discusses tests to create a vibrant, user-attractive digital twin of a touristic city. A popular Austrian downtown will be digitally reimagined and integrated into the metaverse as a foundational case study. The creation of this digital double offers substantial potential for companies aiming to establish a metaverse presence, enabling local businesses to deliver an immersive, interactive customer experience through a virtual exploration of its streets and shops. Incorporating interactive elements, such as virtual shops, info points, and collectibles where users can explore and purchase products, is vital. This approach, providing an accurate, immersive, and interactive digital replica, facilitates a compelling user journey, encourages repeat visits, and offers businesses an effective means to engage customers in a richly interactive experience.","url":"https://doi.org/10.1145/3626705.3631880","authors":["Nils Gallist","Jüergen Hagler"],"tags":["Metaverse","Computer science","Construct (python library)","Tourism","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-01","doi":"https://doi.org/10.1145/3626705.3631880","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4362698953","name":"Towards a Digital Twin Warehouse through the Optimization of Internal Transport","source":"openalex","abstract":"Through the construction of parametric simulation models in which possible storage space distributions and positioning logics are also considered as variables, it is possible to build scenarios that allow analyzing the changing reality of storage needs in order to minimize material movements in each case, optimize internal transportation, and increase the efficiency of production processes. This article shows a particular analysis of a restricted storage space in height, typical to when it comes to logistics associated with raw material in a “big bag” format made of recycled and easily deteriorated material. In conjunction, a location management solution based on passive RFID (radio-frequency identification) tags has been chosen. The process is carried out through simulations with object-oriented discrete event software, where the optimization of the internal transport associated with the layout is carried out considering network theory to define the shortest path between warehouse nodes. The combination of both approaches allows, on the one hand, the evaluation of alternatives in terms of distribution and positioning logics, while the implemented system enables the possibility of making agile changes in the physical configuration of this type of storage space.","url":"https://doi.org/10.3390/app13084652","authors":["Joaquín S. Félix-Cigalat","Rosario Domingo"],"tags":["Computer science","Agile software development","Process (computing)","Industrial engineering","Warehouse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-07","doi":"https://doi.org/10.3390/app13084652","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4375842544","name":"Key Technologies of Shape-performance Integrated Digital Twin for Major Equipment","source":"openalex","abstract":"摘要： 重大装备形态和性能的精准预测与分析是实现其智能化和自主创新的关键技术之一。数字孪生作为连接物理世界和数字世界的纽带,可用于在数字世界中建立物理实体材料选择、结构设计、加工制造和运维管理的全生命周期真实镜像。面向重大装备几何形态和结构力学性能,通过分析当前建立数字孪生的需求与难点,提出机理模型与实测数据联合驱动的\"算测融合\"解决方案;综合考虑孪生模型的时效性与准确性要求,构建重大装备\"形性一体化\"的数字孪生框架。详细论述当前构建重大装备数字孪生所面临的\"算不了\"、\"算不准\"、\"算不快\"、\"测不了\"、\"测不全\"和\"测不准\"六个具体问题,并给出相关解决方案和关键技术。通过典型案例验证了所提框架与关键技术的可行性与有效性,为数字孪生在重大装备中的落地应用提供了理论和技术参考。最后,探讨了重大装备数字孪生的未来发展趋势和所面临的进一步挑战。","url":"https://doi.org/10.3901/jme.2022.10.298","authors":["Xueguan Song","LAI Xiaonan","HE Xiwang","YANG Liangliang","Wei Sun","GUO Dongming"],"tags":["Key (lock)","Computer science","Systems engineering","Engineering","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.3901/jme.2022.10.298","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3015039864","name":"A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.enconman.2020.112772","authors":["Yousef Golizadeh Akhlaghi","Ali Badiei","Xudong Zhao","Koorosh Aslansefat","Xin Xiao","Samson Shittu","Xiaoli Ma"],"tags":["Dew point","Wet-bulb temperature","Environmental science","Meteorology","Relative humidity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-02","doi":"https://doi.org/10.1016/j.enconman.2020.112772","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4385759209","name":"Blockchain-Based Frameworks for Food Traceability: A Systematic Review","source":"openalex","abstract":"With the rise of globalization and technological competition, the food supply chain has grown more complex due to the multiple players and factors involved in the chain. Traditional systems fail to offer effective and reliable traceability solutions considering the increasing requirement for accountability and transparency in the food supply chain. Blockchain technology has been claimed to offer the food industry a transformative future. The inherent features of blockchain, including immutability and transparency, create a dependable and secure system for tracking food products across the whole supply chain, ensuring total control over their traceability from the origin to the final consumer. This research offers a comprehensive overview of multiple models to understand how the integration of blockchain and other digital technologies has transformed the food supply chain. This comprehensive systematic review of blockchain-based food-supply-chain frameworks aimed to uncover the capability of blockchain technology to revolutionize the industry and examined the current landscape of blockchain-based food traceability solutions to identify areas for improvement. Furthermore, the research investigates recent advancements and investigates how blockchain aligns with other emerging technologies of Industry 4.0 and Web 3.0. Blockchain technology plays an important role in improving food traceability and supply-chain operations. Potential synergies between blockchain and other emerging technologies of Industry 4.0 and Web 3.0 are digitizing food supply chains, which results in better management, automation, efficiencies, sustainability, verifiability, auditability, accountability, traceability, transparency, tracking, monitoring, response times and provenance across food supply chains.","url":"https://doi.org/10.3390/foods12163026","authors":["Rizwan Matloob Ellahi","Lincoln C. Wood","Alaa El‐Din A. Bekhit"],"tags":["Traceability","Blockchain","Supply chain","Transparency (behavior)","Accountability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.3390/foods12163026","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4401904075","name":"Supply Chain Digital Twins: A Comprehensive Review and Case Studies","source":"openalex","abstract":"","url":"https://doi.org/10.46254/sa05.20240069","authors":["Jacob Odisho","Mahek Karamchandani","Emma Swadley","Mohamed Awwad","Maximilian Püttner"],"tags":["Supply chain","Computer science","Business","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-09","doi":"https://doi.org/10.46254/sa05.20240069","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4323030587","name":"Digital product passports for a circular economy: Data needs for product life cycle decision-making","source":"openalex","abstract":"Digital product passports have been proposed as a policy instrument to enable decision-making throughout product life cycles in favour of a circular economy. However, due to nascent conceptualisation and weak industrial embeddedness, the contents of such an instrument are a source of uncertainty. Situated in a mechatronics context, this multiple-case study explores the data needs for digital product passports. Extant research reveals seven data clusters: (1) usage and maintenance, (2) product identification, (3) products and materials, (4) guidelines and manuals, (5) supply chain and reverse logistics, (6) environmental data and (7) compliance. To contextualise these clusters, interviews with three original equipment manufacturers (OEMs) as well as their respective customers, service partners, suppliers and third-party recycling companies were conducted. Through a survey, each specific data point was assessed in terms of importance, availability and sensitivity. The findings show differentiating needs for data across these actors, yet the exchange of data and its supporting infrastructure for closing resource loops remain at low maturity. Consequently, policymakers are recommended to roll out digital product passports in gradual stages, while industrial managers should proactively reconfigure data flows to account for decision-making in a reverse supply chain. Future research is encouraged to explore the use of digital product passports for decision-making in other industries.","url":"https://doi.org/10.1016/j.spc.2023.02.021","authors":["Steffen Foldager Jensen","Jesper Kristensen","Sofie Adamsen","Andreas Aagaard Christensen","Brian Vejrum Wæhrens"],"tags":["Product (mathematics)","Original equipment manufacturer","Product lifecycle","Context (archaeology)","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-03","doi":"https://doi.org/10.1016/j.spc.2023.02.021","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4410921529","name":"A review of robust thermal error reduction of machine tools","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijmachtools.2025.104298","authors":["Lingtao Weng","Toru Kizaki","Chi Ma","Weiguo Gao","Daisuke Kono"],"tags":["Reduction (mathematics)","Computer science","Reliability engineering","Mathematics","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-31","doi":"https://doi.org/10.1016/j.ijmachtools.2025.104298","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3157326295","name":"Digital twin support for laser-based assembly assistance","source":"openalex","abstract":"Flexibility and versatility in production put high demands on the planning, simulation and ramp-up of assembly systems and processes. For this purpose, a digital twin of a laser-based assembly assistance system for manual mounting tasks was developed, implemented and analyzed. A capability model was elaborated using quantitative and qualitative studies. The capability model was realized as a Unity 3D model. In the augmented reality implementation using the Microsoft HoloLens users can control the digital twin through hand gestures and voice control. The implementation shows that the digital twin of the laser-based assembly assistance supports the planning, simulation and training of employees at the shop floor.","url":"https://doi.org/10.1016/j.procir.2021.03.066","authors":["Nicolas Meier","Ralf Müller-Polyzou","Leon Brach","Anthimos Georgiadis"],"tags":["Flexibility (engineering)","Gesture","Control (management)","Computer science","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.03.066","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4210430392","name":"Remote Sensing Methods for Flood Prediction: A Review","source":"openalex","abstract":"Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage to a country's economy. Floods, being natural disasters, cannot be prevented completely; therefore, precautionary measures must be taken by the government, concerned organizations such as the United Nations Office for Disaster Risk Reduction and Office for the coordination of Human Affairs, and the community to control its disastrous effects. To minimize hazards and to provide an emergency response at the time of natural calamity, various measures must be taken by the disaster management authorities before the flood incident. This involves the use of the latest cutting-edge technologies which predict the occurrence of disaster as early as possible such that proper response strategies can be adopted before the disaster. Floods are uncertain depending on several climatic and environmental factors, and therefore are difficult to predict. Hence, improvement in the adoption of the latest technology to move towards automated disaster prediction and forecasting is a must. This study reviews the adoption of remote sensing methods for predicting floods and thus focuses on the pre-disaster phase of the disaster management process for the past 20 years. A classification framework is presented which classifies the remote sensing technologies being used for flood prediction into three types, which are: multispectral, radar, and light detection and ranging (LIDAR). Further categorization is performed based on the method used for data analysis. The technologies are examined based on their relevance to flood prediction, flood risk assessment, and hazard analysis. Some gaps and limitations present in each of the reviewed technologies have been identified. A flood prediction and extent mapping model are then proposed to overcome the current gaps. The compiled results demonstrate the state of each technology's practice and usage in flood prediction.","url":"https://doi.org/10.3390/s22030960","authors":["Hafiz Suliman Munawar","Ahmed W. A. Hammad","S. Travis Waller"],"tags":["Flood myth","Natural disaster","Emergency management","Natural hazard","Hazard"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-26","doi":"https://doi.org/10.3390/s22030960","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3216100969","name":"Design and Implementation of a Digital Twin Platform for AM processes","source":"openalex","abstract":"Industry’s interest in Additive Manufacturing (AM) is rapidly increasing. However, there are barriers in AM in terms of speed, working volumes, and need for post-processing. AM processes are typically optimized utilizing offline modelling and monitoring tools while real-time decision support and adaptiveness offered by Digital Twins are not yet fully achieved. The current work presents a digital-twin-supporting platform gathering existing knowledge and providing optimization services to potentially networked AM producers. Cycle time, energy consumption and connectivity to production planning are taken into consideration. Additionally, the extension of this methodology towards integration of empirical knowledge is demonstrated, utilizing dedicated testbeds.","url":"https://doi.org/10.1016/j.procir.2021.11.290","authors":["Panagiotis Stavropoulos","Alexios Papacharalampoloulos","Konstantinos Tzimanis"],"tags":["Computer science","Production (economics)","Energy consumption","Work (physics)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.11.290","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4283585667","name":"A Comprehensive Data Schema for Digital Twin Construction","source":"openalex","abstract":"Lean construction, originating from lean management, aims to proactively improve the overall efficiency of construction processes. This requires continuous assessment of performance to identify key problems, which allows continuous improvement of construction processes. Novel digital twin approaches form an excellent technological foundation for performance assessment through regular updates with product and process information directly from the construction site. While some publications favour a schema-less approach to digital twins, we argue that well-defined data structures are required to represent complex information reliably and transparently. Existing process and product models are inadequate with respect to the requirements of a digital twin of the construction phase. As a result, we introduce a new process-oriented model that provides an improved basis for advanced process evaluation in the digital twin environment. This data schema, which is the main outcome of this paper, is presented in UML format together with a first approach to transfer it to an ontology usable in the Semantic Web context.","url":"https://doi.org/10.7146/aul.455.c194","authors":["Jonas Schlenger","Timson Yeung","Simon Vilgertshofer","J. Martinez","R. Sacks","André Borrmann"],"tags":["Computer science","USable","Schema (genetic algorithms)","Ontology","Schema evolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-20","doi":"https://doi.org/10.7146/aul.455.c194","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4225158334","name":"Perceived risks and vulnerabilities of employing digitalization and digital data in agriculture – Socially robust orientations from a transdisciplinary process","source":"openalex","abstract":"The digitalization of agricultural production and the use of digital data are fundamentally transforming processes, products, and services of the agro-food systems. Digitalization improves efficiency and facilitates sophisticated farm management, thus increasing productivity, efficacy, and profitability. At the same time, it promises many opportunities for a more sustainable and, especially, more ecological and cleaner agricultural production. However, with it comes the potential for a number of unintended side effects and risks that may increase the vulnerability of agricultural production and have, thus far, received scant scientific and societal attention. This article presents the results of a two-year transdisciplinary process that aimed to identify unintended side-effects (short “unseens”) and perceived risks of digitalization in German agriculture. Results base on a triangulation of knowledge integration from the transdisciplinary group process involving twelve representatives from science and practice and an ethnographic qualitative meta-analysis. The findings have shown that, despite digitalization's numerous promises for a more ecological and resource efficient agricultural production, a broad range of risks was perceived by some key stakeholders involved. These risks were anticipated to be caused by unintended negative and uncertain side effects on agro-ecological and social systems. Data rights, the restructuring of the value chain with new market concentrations, power structures and dependencies, changing knowledge requirements for farmers (lacking “digital literacy”), and information asymmetries that may cause potentially negative effects on food security were identified as causal factors. Based on these results, we co-developed socially robust orientations (SoROs) for coping with resulting risks and vulnerabilities. We argue that these SoROs provide perspectives on how anticipated knowledge can be turned into responsible action within the RRI (responsible research and innovation) framework. Finally, with regard to the preventive and anticipatory paradigm of “cleaner production”, our transdisciplinary methodology shows a way to adaptively govern the highly complex socio-technological transitions of digitalization in agriculture in the sense of a sustainability-oriented transformation.","url":"https://doi.org/10.1016/j.jclepro.2022.132034","authors":["Jana Zscheischler","Reiner Brunsch","Sebastian Rogga","Roland W. Scholz"],"tags":["Process (computing)","Agriculture","Business","Risk analysis (engineering)","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-29","doi":"https://doi.org/10.1016/j.jclepro.2022.132034","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4315700881","name":"Hybrid-Model-Based Digital Twin of the Drivetrain of a Wind Turbine and Its Application for Failure Synthetic Data Generation","source":"openalex","abstract":"Computer modelling and digitalization are integral to the wind energy sector since they provide tools with which to improve the design and performance of wind turbines, and thus reduce both capital and operational costs. The massive sensor rollout and increase in big data processing capacity over the last decade has made data collection and analysis more efficient, allowing for the development and use of digital twins. This paper presents a methodology for developing a hybrid-model-based digital twin (DT) of a power conversion system of wind turbines. This DT allows knowledge to be acquired from real operation data while preserving physical design relationships, can generate synthetic data from events that never happened, and helps in the detection and classification of different failure conditions. Starting from an initial physics-based model of a wind turbine drivetrain, which is trained with real data, the proposed methodology has two major innovative outcomes. The first innovation aspect is the application of generative stochastic models coupled with a hybrid-model-based digital twin (DT) for the creation of synthetic failure data based on real anomalies observed in SCADA data. The second innovation aspect is the classification of failures based on machine learning techniques, that allows anomaly conditions to be identified in the operation of the wind turbine. Firstly, technique and methodology were contrasted and validated with operation data of a real wind farm owned by Engie, including labelled failure conditions. Although the selected use case technology is based on a double-fed induction generator (DFIG) and its corresponding partial-scale power converter, the methodology could be applied to other wind conversion technologies.","url":"https://doi.org/10.3390/en16020861","authors":["Ainhoa Pujana","Miguel Esteras","E. Perea","Erik Maqueda","Philippe Calvez"],"tags":["Turbine","Drivetrain","Wind power","SCADA","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-12","doi":"https://doi.org/10.3390/en16020861","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4390831744","name":"Digital Twins for Microgrids: Opening a New Dimension in the Power System","source":"openalex","abstract":"The need for affordable, reliable, sustainable, and modern energy is now more important than ever because of the climate crisis. Climate change will push up to 130 million people into poverty over the next 10 years and continue to cause more unpredictable natural disasters, such as cyclones, flooding, earthquakes, landslides, tsunamis, and volcanic eruptions. Power outages do not occur only in remote rural areas but also in developed countries, lasting for several hours and even a couple of days, due to the extreme weather in recent years. Microgrids, as a flexible architecture capable of integrating local distributed energy resources (DERs), can satisfy wide-ranging demands via their variable solutions, from off-grid to on-grid applications.","url":"https://doi.org/10.1109/mpe.2023.3324296","authors":["Ying Wu","Josep M. Guerrero","Yanpeng Wu","Najmeh Bazmohammadi","Juan C. Vásquez","Andrea Justo Cabrera","Ning Lü"],"tags":["Natural disaster","Flooding (psychology)","Extreme weather","Grid","Climate change"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/mpe.2023.3324296","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4402562357","name":"Digital evolution and twin miracle of sugarcane breeding","source":"openalex","abstract":"Sugarcane, as an important economic crop, faces challenges such as long breeding cycles, low genetic improvement efficiency, and complex breeding operations. In order to address these challenges and improve the economic benefits of sugarcane breeding, this paper proposes an innovative smart sugarcane breeding system driven by artificial intelligence (AI), blockchain and digital twin technologies. The system integrates these technologies within a Human-Cyber-Physical System framework to offer a more efficient, secure, and smart strategy for sugarcane breeding. Firstly, AI processes extensive genetic and phenotypic data to enable precise prediction and optimization of sugarcane traits, resulting in shortened breeding cycles and enhanced efficiency and accuracy in selecting elite sugarcane varieties. Secondly, blockchain technology ensures the security and traceability of breeding data, enhancing the reliability and integrity of the breeding process. Thirdly, digital twin technology enables the real-time circulation of lifelike representations of real-world data among breeding-related workers. The system architecture consists of three layers: a physical layer for data collection, a cyber layer responsible for data analysis, storage and circulation managed by AI, blockchain and digital twin, and a human layer comprised of breeders and stakeholders. This multi-layered approach allows for sophisticated interaction and collaboration between the physical and digital realms, enhancing decision-making and breeding outcomes. Taken together, the system utilizes AI, blockchain, and digital twin technologies to support sugarcane breeding, offering a promising solution to overcome the limitations of traditional methods and establish a more sustainable and profitable sugarcane breeding system. This paper envisions an innovative smart sugarcane breeding system driven by artificial intelligence (AI), blockchain and digital twin (DT). It utilizes AI to process extensive genetic and phenotypic data, enabling precise prediction and optimization of sugarcane traits. Blockchain technology ensures the security and traceability of breeding data, adding an additional layer of reliability and integrity to the breeding process. DT, as a method of representing the real world in data, enables data to circulate in real-time among breeding-related workers in a lifelike form. The system integrates these advanced technologies within a Human-Cyber-Physical Systems framework, providing a more efficient, secure, and intelligent method for sugarcane breeding • We envision a smart sugarcane breeding system powered by AI, blockchain, and DT. • It uses AI to analyze genetic and phenotypic data for optimizing sugarcane traits. • Blockchain secures and traces breeding data, ensuring its reliability and integrity. • DT allows real-time circulation of lifelike data among workers in breeding. • It enhances breeding by advanced interaction between physical and digital realms.","url":"https://doi.org/10.1016/j.fcr.2024.109588","authors":["Xiaoding Wang","Qibin Wu","Haitao Zeng","Yang Xu","Yang Xu","Xuechao Yang","Xuechao Yang","Xun Yi","Ibrahim Khalil","Youxiong Que"],"tags":["Biology","Agronomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-18","doi":"https://doi.org/10.1016/j.fcr.2024.109588","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4400551073","name":"Digital twin for urban decision support systems","source":"openalex","abstract":"The benefits of digital twin technology for data visualisation-based city planning are covered in this chapter, along with how beneficial the connection between virtual and real-world cities is. While significant progress has been made in this field, most research remains experimental, and there is limited practical knowledge gained from real-world applications. The chapter addresses this gap by outlining research directions that consider both the advantages and disadvantages of applying digital twins in urban settings. The research agenda is developed through a systematic review of scholarly journals published from January 2021 to May 2022. The resulting analysis identifies the current state of research on digital twins in urban planning, including potential benefits, challenges, and the level of maturity of existing projects. The discussion on future research directions is essential to maximising the potential of digital twins in urban planning and to provide citizens and decision-makers with tools visualising events and changes in dynamic urban systems.","url":"https://doi.org/10.1201/9781003507000-6","authors":["Peyman Najafi","Alì Soltani","Ayaz Ahmad Khan","Mahsa Chizfahm","Samad M. E. Sepasgozar","Ning Gu"],"tags":["Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-11","doi":"https://doi.org/10.1201/9781003507000-6","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3011648816","name":"Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature","source":"openalex","abstract":"Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.","url":"https://doi.org/10.3390/en13061473","authors":["Tan Yiğitcanlar","Kevin C. Desouza","Luke Butler","Farnoosh Roozkhosh"],"tags":["Context (archaeology)","Corporate governance","Sustainability","Smart city","Systematic review"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-20","doi":"https://doi.org/10.3390/en13061473","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4211067021","name":"A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation","source":"openalex","abstract":"Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data analysis techniques can be implemented for condition estimation, which are crucial tools for managing, developing, and operating water networks using the monitored flow rate and pressure data at some network pipes and nodes. This work proposes a state estimation methodology that enables one to infer the hydraulic state of the operating speed of pumping systems from these pressure and flow measurements. The presented approach suggests using graph convolutional neural network theory linked to hydraulic models for generating a digital twin of the water system. It is validated on two benchmark hydraulic networks: the Patios-Villa del Rosario, Colombia, and the C-Town networks. The results show that the proposed model effectively predicts the state estimation in the two hydraulic networks used. The results of the evaluation metrics indicate low values of mean squared error and mean absolute error and high values of the coefficient of determination, reflecting high predictive ability and that the prediction results adequately represent the real data.","url":"https://doi.org/10.3390/w14040514","authors":["Carlos Alexis Bonilla Granados","Ariele Zanfei","Bruno Brentan","Idel Montalvo","Joaquín Izquierdo"],"tags":["Benchmark (surveying)","Computer science","Mean squared error","Graph","Convolutional neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-09","doi":"https://doi.org/10.3390/w14040514","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3097298734","name":"A decision support tool for operational planning: a Digital Twin using simulation and forecasting methods","source":"openalex","abstract":"Paper aims Propose a continuous decision support system, a Digital Twin, integrating two widely used techniques, Discrete Event Simulation and forecasting methods. Originality With the evolution of the industry, there is a growing need for increasingly agile and assertive decision support systems. Also, familiar tools and techniques tend to change over time to suit such a scenario, supporting new researches on their use in the modern industry. Research method The proposed method allows the use of simulation, with the aid of forecasting methods, for continuous decision making, composing the so-called Digital Twin. The method was applied in a real process to validate it. Main findings The Moving Average, Single Exponential Smoothing, and Double Exponential Smoothing forecasting methods were used to supply the simulation model in order to test scenarios and guide decision making. The developed system enabled a virtual copy with a certain degree of intelligence and that provides answers to make the constant decision-making process more efficient. Implications for theory and practice The proposed method can be used for several operational problems like headcount, production planning and covers different levels of decision. Therefore, it can be used both on the shop floor and at managerial levels.","url":"https://doi.org/10.1590/0103-6513.20200018","authors":["Carlos Henrique dos Santos","Renan Delgado Camurça Lima","Fabiano Leal","José Antônio de Queiroz","Pedro Paulo Balestrassi","José Arnaldo Barra Montevechi"],"tags":["Exponential smoothing","Computer science","Industrial engineering","Decision support system","Agile software development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1590/0103-6513.20200018","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W7117311628","name":"Bridging Cognitive Digital Twins and Cognitive User Interfaces: A Systematic Literature Review","source":"openalex","abstract":"Industry 5.0 emphasizes human-centered design in smart manufacturing environments, where Cognitive Digital Twins (CDTs) and Cognitive User Interfaces (CUIs) emerge as critical technologies for enhanced decision-making and system interaction. Despite sharing similar cognitive characteristics, CDTs and CUIs have been studied in isolation, which resulted in a fragmented landscape, limiting their integration into intelligent human-computer collaboration. This systematic literature review, guided by the PRISMA framework, investigates the integration opportunities between CDTs and CUIs to bridge this disciplinary gap. A comprehensive search in Scopus identified 227 papers, which were systematically filtered to 49 relevant studies for content analysis The review synthesizes a set of requirements essential for designing integrated CDT–CUI systems. Findings highlight that while CDTs rely on static interfaces, CUIs demonstrate advanced adaptability capabilities, including dynamic user interface adaptation through User Mentality Models and multimodal interaction support, significantly enhancing current rudimentary CDT interaction approaches.","url":"https://doi.org/10.1016/j.procs.2025.12.116","authors":["Martina Cardamone","Mohaiad Elbasheer","Francesco Facchini","Giovanni Mirabelli","Antonio Padovano","Chiara Sammarco","Micaela Vitti"],"tags":["Computer science","Bridging (networking)","Adaptability","Cognition","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.procs.2025.12.116","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4406577344","name":"Integrating circular economy while adopting digital twin for enhancing logistics efficiency: a hybrid Fuzzy Delphi-FUCOM based approach","source":"openalex","abstract":"This study integrates both concepts of Circular Economy (CE) and Digital Twin (DT) and uses a hybrid approach to prioritise Digital-based Circular economy potentials for enhancing logistics efficiency. In total, 21 potential factors were identified through literature review and experts’(Eps) responses, categorised into the three main aspects (economic, social, and circular). The Fuzzy Delphi approach (FDA) was used to screen out four factors. Later, the weights of the significant factors were computed using the Fuzzy Full Consistency Method (F-FUCOM). The hybrid approach’s results were validated through sensitivity and comparative analysis. The study proposes a Digital Twin-based Circular Economy framework and technology, organisation, environment (TOE) based taxonomy, providing researchers and policymakers valuable insights for decision-making (DM) to enhance logistics efficiency. The proposed results highlight that critical potentials such as ‘Reverse logistics (P14)’, ‘Operational cost (P1)’, ‘Route optimization (P2)’, and ‘Environmental impact (P15)’ played a significant role in enhancing the efficacy of logistics operations. This study provides the integrated framework that helps the researchers understand and analyse the potentials of digital twin in circular economy and provides insights for industrial managers for its implementation in logistics operations.","url":"https://doi.org/10.1080/13675567.2025.2451750","authors":["Muhammad Shoaib","Shengzhong Zhang","Hassan Ali","Muhammad Sarfraz Ahmad","Muhammad Adeel Khan"],"tags":["Fuzzy logic","Delphi","Circular economy","Business","Delphi method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-18","doi":"https://doi.org/10.1080/13675567.2025.2451750","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2997215133","name":"Towards developing a cyber-physical multi-agent system for managing precise farms with digital twins of plants","source":"openalex","abstract":"The paper presents the multi-agent approach for developing cyber-physical system for managing precise farms with digital twins of plants. It discusses complexity of the problem caused by a priori incompleteness of knowledge about factors of plant growth and development, high uncertainty of crops cultivation, variety of weather, business and technical requirements, etc. The approach proposes knowledge bases and multi-agent technology in combination with machine learning methods for designing considered systems. Digital twin of plant is specified as an agent based on ontology model of objects relevant for plant cultivation (specific sort of plant, soil, etc) associated with history of operations and environment conditions. The architecture and functions of system components are designed. The expected results of system implementation and the benefits for farmers are discussed.","url":"https://doi.org/10.35470/2226-4116-2019-8-4-257-261","authors":["Vladimir Laryukhin","Petr Skobelev","О. И. Лахин","Sergey Grachev","Vladimir Yalovenko","Olga Yalovenko"],"tags":["Cyber-physical system","sort","Computer science","Multi-agent system","Variety (cybernetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-30","doi":"https://doi.org/10.35470/2226-4116-2019-8-4-257-261","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3135837256","name":"Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective","source":"openalex","abstract":"The circular economy is gaining in importance globally and locally. The COVID-19 crisis, as an exceptional event, showed the limits and the fragility of supply chains, with circular economy practices as a potential solution during and post-COVID. Reverse logistics (RL) is an important dimension of the circular economy which allows management of economic, social, and environmental challenges. Transportation is needed for RL to effectively operate, but research study on this topic has been relatively limited. New digitalization opportunities can enhance transportation and RL, and therefore further enhance the circular economy. This paper proposes to review practical research and concerns at the nexus of transportation, RL, and blockchain as a digitalizing technology. The potential benefits of blockchain technology through example use cases on various aspects of RL and transportation activities are presented. This integration and applications are evaluated using various capability facets of blockchain technology, particularly as an immutable and reliable ledger, a tracking service, a smart contract utility, as marketplace support, and as tokenization and incentivization. We also briefly introduce the physical internet concept within this context. The physical internet paradigm proposed last decade, promises to also disrupt the blockchain, transportation, and RL nexus. We include potential research directions and managerial implications across the blockchain, transportation, and RL nexus.","url":"https://doi.org/10.3390/su13052895","authors":["Abdelghani Bekrar","Abdessamad Ait El Cadi","Raca Todosijević","Joseph Sarkis"],"tags":["Nexus (standard)","Blockchain","Supply chain","Context (archaeology)","Circular economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-07","doi":"https://doi.org/10.3390/su13052895","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387165744","name":"Digital Twin-Enabled Personalized Nutrition Improves Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes: Results of a 1-Year Randomized Controlled Study","source":"openalex","abstract":"OBJECTIVE: Postprandial hyperglycemia drives insulin resistance and inflammation, leading to metabolic dysfunction-associated fatty liver disease (MAFLD). Prediction of postprandial glycemic responses by digital twin (DT) technology can fashion a personalized nutrition, activity, and sleep to treat type 2 diabetes (T2D) and MAFLD. This study examines the effects of DT-enabled personalized nutrition, activity, and sleep on glycemic status, surrogate markers of MAFLD, and magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) in patients with T2D. METHODS: In an open-label randomized trial (2:1), 319 people with T2D were eligible to intervention (DT) or standard care (SC). DT patients followed personalized meal plans with foods suggested by artificial intelligence with least predicted postprandial glycemic response. The primary end point was to compare change in hemoglobin A1c (HbA1c) and medicine reduction between the DT and SC groups. Key secondary end points included remission to compare liver function test scores and visceral adiposity using MRI. RESULTS: was significantly better for DT than for SC (-2.9 [1.8] vs -0.3 [1.2]; P < .001) at 1 year with 72.7% remission of T2D. In patients with abnormal baseline values, significant improvements were seen in DT vs SC patients from baseline to 1 year in nonalcoholic fatty liver disease liver fat score (mean [SD]; -2.5 [2.0] vs -0.1 [1.5]; P < .001) and nonalcoholic fatty liver disease fibrosis score (-1.20 [0.9] vs -0.1 [1.0]; P < .001), respectively. Improvements are seen with DT compared with SC in other liver fat, fibrosis score, and %liver fat by MRI-PDFF. CONCLUSION: At 1 year, DT-enabled personalized treatment significantly improved hyperglycemia and surrogate markers of MAFLD and MRI-PDFF.","url":"https://doi.org/10.1016/j.eprac.2023.08.016","authors":["Shashank Joshi","Paramesh Shamanna","Mala Dharmalingam","Arun Vadavi","Ashok Keshavamurthy","Lisa Shah","Jeffrey I. Mechanick"],"tags":["Medicine","Internal medicine","Type 2 diabetes","Fatty liver","Glycemic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-29","doi":"https://doi.org/10.1016/j.eprac.2023.08.016","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4400764157","name":"Digital Twin for Monitoring the Experimental Assembly Process Using RFID Technology","source":"openalex","abstract":"Despite the considerable advances that industrial manufacturing has undergone as a result of digitalization, the real-time monitoring of assembly processes continues to present a significant technical challenge. This article presents a solution to this problem by integrating digital twin technology with radio frequency identification (RFID) in order to improve the monitoring and optimization of assembly processes. The objective of this research is to develop a methodology that ensures synchronized data exchange between physical components and their digital counterparts using RFID for improved visibility and accuracy. The methodology entails the configuration of radio frequency identification systems to track the positions of products on conveyor belts, thereby facilitating real-time monitoring and the prompt detection of any deviations. This integration enhances remote monitoring capabilities and markedly optimizes assembly processes in comparison to traditional methods. The research findings suggest that this approach offers real-time data and monitoring capabilities, which can contribute to improved operational efficiency. This study presents an introduction to digital twins and RFID technology, a review of related research, a detailed methodology, an implementation plan, results and analysis, a discussion of the findings, and conclusions with future recommendations. This article presents a comprehensive discussion of the configuration of an RFID-based digital twin for an assembly line, highlighting the benefits and challenges of integrating these technologies into industrial processes.","url":"https://doi.org/10.3390/pr12071512","authors":["Jakub Demčák","Kamil Židek","Tibor Krenický"],"tags":["Radio-frequency identification","Process (computing)","Computer science","Identification (biology)","Visibility"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-18","doi":"https://doi.org/10.3390/pr12071512","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4313214781","name":"Digital twins and multi-access edge computing for IIoT","source":"openalex","abstract":"Background All recent technological findings can be collectively used to strengthen the industrial Internet of things (IIoT) sector. The novel technology of multi-access edge computing or mobile edge computing (MEC) and digital twins have advanced rapidly in the industry. MEC is the middle layer between mobile devices and the cloud, and it provides scalability, reliability, security, efficient control, and storage of resources. Digital twins form a communication model that enhances the entire system by improving latency, overhead, and energy consumption. Methods The main focus in this study is the biggest challenges that researchers in the field of IIoT have to overcome to obtain a more efficient communication environment in terms of technology integration, efficient energy and data delivery, storage spaces, security, and real-time control and analysis. Thus, a distributed system is established in a local network, in which several functions operate. In addition, an MEC-based framework is proposed to reduce traffic and latency by merging the processing of data generated by IIoT devices at the edge of the network. The critical parts of the proposed IIoT system are evaluated by using emulation software. Results The results show that data delivery and offloading are performed more efficiently, energy consumption and processing are improved, and security, complexity, control, and reliability are enhanced. Conclusions The proposed framework and application provide authentication and integrity to end users and IoT devices.","url":"https://doi.org/10.1016/j.vrih.2022.07.005","authors":["Andreas P. Plageras","Kostas E. Psannis"],"tags":["Computer science","Cloud computing","Scalability","Mobile edge computing","Energy consumption"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.1016/j.vrih.2022.07.005","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4381800551","name":"Building a Digital Twin Network of SDN Using Knowledge Graphs","source":"openalex","abstract":"In SDN-based networks, contextual understanding of network behaviour and safe execution of operational decisions are important as part of the network management process. Digital Twin Network (DTN) is a promising concept which creates a virtual twin of a live SDN-based network to monitor the network from different angles with various granularities and enables it to verify an operational change without disturbing the live one. However, modelling the arbitrary decisions by an SDN Controller to form a DTN and managing the contextual information in a DTN are challenging tasks in various aspects. This paper proposes a data representation based DTN architecture integrating Knowledge Graph (KG) for data modelling and storage and Template as the context description approach. The combination of KG and Template can make the DTN management scalable with the flexibility of defining the contextual information with the relationship between network entities. It also enables efficient querying to the data storage and provides the reusability of functions and data storage for the DTN applications development. The proposed DTN architecture was implemented using an ONOS-based SDN Controller and Neo4j-based KG with built-in DTN applications for practical use. The PoC implementation exhibited short query response time and high query throughput in reading from and updating a KG, though the initial creation of a KG incurs a considerable delay which increases with its size.","url":"https://doi.org/10.1109/access.2023.3288813","authors":["Deepu Raj Ramachandran RAJ","Tahir Ahmed Shaik","Anish Hirwe","Praveen Tammana","Kotaro Kataoka"],"tags":["Computer science","Scalability","Distributed computing","Context (archaeology)","Flexibility (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3288813","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W7133482877","name":"Review and Implementation of Digital Twin for MPPT Techniques in Grid-Connected PV Inverters","source":"openalex","abstract":"The Integration of single-phase, single-stage gridconnected solar photovoltaic (PV) systems is becoming more popular for use in residential and distributed energy applications. Although effective Maximum Power Point Tracking remains a challenge under rapidly changing irradiance and temperature conditions. Conventional MPPT techniques such as P&O, INC, and ANN often suffer from delayed response, local convergence, and oscillations. This paper presents a comprehensive review of MPPT algorithms for grid-connected single-stage PV inverters and introduces a Digital Twin (DT) framework to enhance MPPT performance. The available literature for the DT system enables real-time synchronization with the physical PV setup, adaptive control strategy selection, and dynamic model updating. Also, the available survey presents its results on simulation-based DT that indicate the DT-assisted MPPT achieves over 98% tracking efficiency, reduces convergence time to under $\\mathbf{1 5 0 ~ m s}$, and improves system stability under variable environmental conditions. The study highlights the DT’s potential to transform MPPT control in single-phase solar PV systems by offering intelligent, flexible, and resilient operation. The objective of this review is to highlight the innovation in the development of a cohesive, scalable DT-based MPPT control framework, particularly designed for single-phase PV systems, hence integrating conventional control techniques with intelligent, adaptable PV benefits.","url":"https://doi.org/10.1109/icpee65973.2025.11411445","authors":["Prateek Shrivastava","Nishant Kumar"],"tags":["Computer science","Maximum power point tracking","Photovoltaic system","Power (physics)","Electronic engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-14","doi":"https://doi.org/10.1109/icpee65973.2025.11411445","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3015016947","name":"Multiscale Eulerian CFD of Chemical Processes: A Review","source":"openalex","abstract":"This review covers the scope of multiscale computational fluid dynamics (CFD), laying the framework for studying hydrodynamics with and without chemical reactions in single and multiple phases regarded as continuum fluids. The molecular, coarse-grained particle, and meso-scale dynamics at the individual scale are excluded in this review. Scoping single-scale Eulerian CFD approaches, the necessity of multiscale CFD is highlighted. First, the Eulerian CFD theory, including the governing and turbulence equations, is described for single and multiple phases. The Reynolds-averaged Navier–Stokes (RANS)-based turbulence model such as the standard k-ε equation is briefly presented, which is commonly used for industrial flow conditions. Following the general CFD theories based on the first-principle laws, a multiscale CFD strategy interacting between micro- and macroscale domains is introduced. Next, the applications of single-scale CFD are presented for chemical and biological processes such as gas distributors, combustors, gas storage tanks, bioreactors, fuel cells, random- and structured-packing columns, gas-liquid bubble columns, and gas-solid and gas-liquid-solid fluidized beds. Several multiscale simulations coupled with Eulerian CFD are reported, focusing on the coupling strategy between two scales. Finally, challenges to multiscale CFD simulations are discussed. The need for experimental validation of CFD results is also presented to lay the groundwork for digital twins supported by CFD. This review culminates in conclusions and perspectives of multiscale CFD.","url":"https://doi.org/10.3390/chemengineering4020023","authors":["Son Ich Ngo","Young‐Il Lim"],"tags":["Computational fluid dynamics","Reynolds-averaged Navier–Stokes equations","Turbulence","Eulerian path","Mechanics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-03-31","doi":"https://doi.org/10.3390/chemengineering4020023","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3136706266","name":"Towards collaborative life cycle specification of digital twins in manufacturing value chains","source":"openalex","abstract":"A digital twin is a digital representation of an unique product or product service system that is sufficient to meet the requirements of a set of use cases. Following this definition, the implementation of a digital twin must be derived from concrete use cases along the life cycle of a product. However, the involvement of a variety of different stakeholders and frequent changes of ownership in the value chain complicate the identification of use cases as well as the specification of the digital twin and its governance. This leads to a need for a systematic approach that enables various partners to implement the digital twins needed for their specific use cases. This paper presents a specification technique that combines aspects from Model-Based Systems Engineering with Product Lifecycle Management to support a collaborative front-end planning and specification of digital twins. It integrates the different views of various digital twin stakeholders (product manager, systems engineer, developer, data scientist etc.) in a collaborative model across the value chain. As part of the systematic approach, a digital twin specification grid that structures guidelines for the aspects of a digital twin (e.g. the data sources) across the product life cycle is provided. The presented approach also supports the derivation of a digital twin by integrating different use cases. This specification technique is the first step towards a holistic, Model-Based Digital Twin Design Framework.","url":"https://doi.org/10.1016/j.procir.2021.01.035","authors":["Rik Rasor","Denis Göllner","Ruslan Bernijazov","Lydia Kaiser","Roman Dumitrescu"],"tags":["Product (mathematics)","Computer science","Product life-cycle management","Product lifecycle","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.procir.2021.01.035","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4402125851","name":"Unity and ROS as a Digital and Communication Layer for Digital Twin Application: Case Study of Robotic Arm in a Smart Manufacturing Cell","source":"europepmc","abstract":"A digital twin (DT) is a virtual/digital model of any physical object (physical twin), interconnected through data exchange. In the context of Industry 4.0, DTs are integral to intelligent automation driving innovation at scale by providing significant improvements in precision, flexibility, and real-time responsiveness. A critical challenge in developing DTs is achieving a model that reflects real-time conditions with precision and flexibility. This paper focuses on evaluating latency and accuracy, key metrics for assessing the efficacy of a DT, which often hinder scalability and adaptability in robotic applications. This article presents a comprehensive framework for developing DTs using Unity and Robot Operating System (ROS) as the main layers of digitalization and communication. The MoveIt package was used for motion planning and execution for the robotic arm, showcasing the framework's versatility independent of proprietary constraints. Leveraging the versatility and open-source nature of these tools, the framework ensures interoperability, adaptability, and scalability, crucial for modern smart manufacturing applications. Our approach was validated by conducting extensive accuracy and latency tests. We measured latency by timestamping messages exchanged between the physical and digital twin, achieving a latency of 77.67 ms. Accuracy was assessed by comparing the joint positions of the DT and the physical robotic arm over multiple cycles, resulting in an accuracy rate of 99.99%. The results highlight the potential of DTs in enhancing operational efficiency and decision-making in manufacturing environments.","url":"https://doi.org/10.3390/s24175680","authors":["Maulshree Singh","Jayasekara Kapukotuwa","Eber Lawrence Souza Gouveia","Evert Fuenmayor","Yuansong Qiao","Niall Murry","Declan M. Devine"],"tags":["Interoperability","Scalability","Adaptability","Computer science","Flexibility (engineering)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"https://doi.org/10.3390/s24175680","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4385416041","name":"Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications","source":"openalex","abstract":"Increasing interest has recently been shown towards the digital twins of cities. These urban digital twins utilize 3D city models together with other data sources, such as open data, which can be accessed, e.g., through application programming interfaces (APIs). A large amount of open geospatial data is already available through various open data portals and APIs, such as REST and MQTT. Game engines, on the other hand, have been seen as highly potential platforms for urban digital twins, with recent development increasing the useability of geospatial data in game engines. This study explores the possibilities of game engines for urban digital twins by integrating and visualizing API-based open geospatial datasets with a 3D city model data set in a game engine environment. Three open data integration approaches are demonstrated, and the performance of these approaches is tested for urban digital twins. Based on the results, modern game engines offer a great platform for creating urban digital twin applications; however, some problems and limitations must be overcome before the use of geospatial data in game engines becomes feasible on a larger scale.","url":"https://doi.org/10.3390/ijgi12080310","authors":["Toni Rantanen","Arttu Julin","Juho‐Pekka Virtanen","Hannu Hyyppä","Matti Vaaja"],"tags":["Geospatial analysis","Computer science","Data science","Game engine","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-28","doi":"https://doi.org/10.3390/ijgi12080310","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4367665843","name":"AI for UAV-Assisted IoT Applications: A Comprehensive Review","source":"openalex","abstract":"With the rapid development of the Internet of Things (IoT), there are a dramatically increasing number of devices, leading to the fact that only using terrestrial infrastructure can hardly provide high-quality services to all devices. Due to their flexibility, maneuverability, and economy, unmanned aerial vehicles (UAVs) are widely used to improve the performance of IoT networks. UAVs can not only provide wireless access to IoT devices in the absence of a terrestrial network but can also perform rich IoT services and applications such as video surveillance, cargo transportation, pesticide spraying, and so forth. However, due to the high complexity, dynamics, and heterogeneity of the UAV-assisted IoT networks, growing attention has focused on using artificial intelligence (AI)-based methods to optimize, schedule, and orchestrate UAV-assisted IoT networks. In this article, we comprehensively analyze the impact of applying advanced AI architectures, models, and methods to different aspects of UAV-assisted IoT networks, including key IoT technologies, tasks, and applications. In addition, this article also explores challenges and discusses potential research directions of AI-enabled UAV-assisted IoT networks.","url":"https://doi.org/10.1109/jiot.2023.3268316","authors":["Nan Cheng","Shen Wu","Xiucheng Wang","Zhisheng Yin","Changle Li","Wen Chen","Fangjiong Chen"],"tags":["Computer science","Internet of Things","Computer network","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-01","doi":"https://doi.org/10.1109/jiot.2023.3268316","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W2045481488","name":"The Discovery of a Field Methane Dwarf from Sloan Digital Sky Survey Commissioning Data","source":"openalex","abstract":"We report the discovery of the coolest field dwarf yet known, selected as an unresolved object with extremely red colors from commissioning imaging data of the Sloan Digital Sky Survey. Its spectrum from 0.8 to 2.5 μm is dominated by strong bands of H 2 O and CH 4 . Its spectrum and colors over this range are very similar to those of Gl 229B, the only other known example of a methane dwarf. It is roughly 1.2 mag fainter than Gl 229B, suggesting that it lies at a distance of ~10 pc. Such a cool object must have a mass well below the hydrogen-burning limit of 0.08 M ☉ and therefore is a genuine brown dwarf, with a probable mass in the range 0.015-0.06 M ☉ for an age range of 0.3-5 Gyr.","url":"https://doi.org/10.1086/312218","authors":["Michael A. Strauss","Xiaohui Fan","James E. Gunn","S. K. Leggett","T. R. Geballe","Jeffrey R. Pier","Robert H. Lupton","G. R. Knapp","James Annis","J. Brinkmann","James H. Crocker","István Csabai","M. Fukugita","D. A. Golimowski","Frederick H. Harris","G. S. Hennessy","Robert B. Hindsley","Željko Ivezić","Stephen Kent","D. Q. Lamb","Jeffrey A. Munn","Heidi Jo Newberg","R. Rechenmacher","Donald P. Schneider","J. A. Smith","Chris Stoughton","D. L. Tucker","Patrick Waddell","Donald G. York"],"tags":["Sky","Brown dwarf","Physics","Astrophysics","Astronomy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1999-09-01","doi":"https://doi.org/10.1086/312218","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4395676953","name":"Assessing and forecasting collective urban heat exposure with smart city digital twins","source":"openalex","abstract":"Due to population growth, climate change, and the urban heat island effect, heat exposure is becoming an important issue faced by urban built environments. Heat exposure assessment is a prerequisite for mitigation measures to reduce the impact of heat exposure. However, there is limited research on urban heat exposure assessment approaches that provides fine-scale spatiotemporal heat exposure information, integrated with meteorological status and human collective exposure as they move about in cities, to enable proactive heat exposure mitigation measures. Smart city digital twins (SCDTs) provide a new potential avenue for addressing this gap, enabling fine spatiotemporal scales, human-infrastructure interaction modeling, and predictive and decision support capabilities. This study aims to develop and test an SCDT for collective urban heat exposure assessment and forecasting. Meteorological sensors and computer vision techniques were implemented in Columbus, Georgia, to acquire temperature, humidity, and passersby count data. These data were then integrated into a collective temperature humidity index. A time-series prediction model and a crowd simulation were employed to predict future short-term heat exposures based on the data accumulated by this SCDT and to support heat exposure mitigation efforts. The results demonstrate the potential of SCDT to enhance public safety by providing city officials with a tool for discovering, predicting, and, ultimately, mitigating community exposure to extreme heat.","url":"https://doi.org/10.1038/s41598-024-59228-8","authors":["Xiyu Pan","Dimitris Mavrokapnidis","Hoang T. Ly","Neda Mohammadi","John E. Taylor"],"tags":["Computer science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-26","doi":"https://doi.org/10.1038/s41598-024-59228-8","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4386370419","name":"A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living","source":"openalex","abstract":"One of the challenges in the field of human activity recognition in smart homes based on IoT sensors is the variability in the recorded data. This variability arises from differences in home configurations, sensor network setups, and the number and habits of inhabitants, resulting in a lack of data that accurately represent the application environment. Although simulators have been proposed in the literature to generate data, they fail to bridge the gap between training and field data or produce diverse datasets. In this article, we propose a solution to address this issue by leveraging the concept of digital twins to reduce the disparity between training and real-world data and generate more varied datasets. We introduce the Virtual Smart Home, a simulator specifically designed for modeling daily life activities in smart homes, which is adapted from the Virtual Home simulator. To assess its realism, we compare a set of activity data recorded in a real-life smart apartment with its replication in the VirtualSmartHome simulator. Additionally, we demonstrate that an activity recognition algorithm trained on the data generated by the VirtualSmartHome simulator can be successfully validated using real-life field data.","url":"https://doi.org/10.3390/s23177586","authors":["Damien Bouchabou","Juliette Grosset","Sao Mai Nguyen","Christophe Lohr","Xavier Puig"],"tags":["Activity recognition","Home automation","Computer science","Field (mathematics)","Set (abstract data type)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-01","doi":"https://doi.org/10.3390/s23177586","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4403982835","name":"Digital Twin and Virtual Reality, Augmented Reality, and Mixed Reality","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-443-28884-5.00013-0","authors":["Prashant Kumar Pandey","Praveen Kumar Pandey","Samriti Mahajan","Justin Paul","Sailesh Iyer"],"tags":["Augmented reality","Mixed reality","Virtual reality","Computer-mediated reality","Reality tv"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-01","doi":"https://doi.org/10.1016/b978-0-443-28884-5.00013-0","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4416347145","name":"Deep learning and digital twin integration for indoor environmental conditions (IEC): A state-of-the-art review","source":"openalex","abstract":"This paper provides a state-of-the-art review of the integration of digital twin and deep learning technologies in the context of indoor environmental conditions (IEC). A total of 136 papers published between 2018 and 2024 were systematically selected and analyzed. The review is organized along two dimensions: (1) the IEC perspective, encompassing key environmental factors such as thermal, air quality, acoustic, and lighting conditions; and (2) the technological perspective, focusing on deep learning model types, generative AI approaches, information flow, and training strategies within digital twins. The review is then supported by illustrative examples from the literature that demonstrate this integration through data curation, model selection, deployment, continuous learning, and considerations of safety and privacy. Lastly, the review identifies current gaps in the body of knowledge and outlines future research directions. This paper contributes to the field by addressing deficiencies in existing reviews and establishing a unified understanding of how deep learning enhances digital twin capabilities for predictive, adaptive, and occupant-centric IEC analytics and management. • Reviews 136 studies on deep learning and digital twins for indoor conditions (IEC) • Analyzes digital twin applications in IAQ, thermal, acoustic, and lighting conditions • Analyzes deep learning models, information flow, and training for IEC • Proposes a unified framework linking deep learning with digital twin systems","url":"https://doi.org/10.1016/j.indenv.2025.100137","authors":["Sadegh Haghighat","Ruichuan Zhang"],"tags":["Deep learning","Artificial intelligence","Context (archaeology)","Computer science","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-19","doi":"https://doi.org/10.1016/j.indenv.2025.100137","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3082222976","name":"Influence of heritability on occlusal traits: a systematic review of studies in twins","source":"openalex","abstract":"Abstract Background The aim of this systematic review was to identify, evaluate, and provide a current literature about the influence of heritability on the determination of occlusal traits. Materials and methods MEDLINE, SCOPUS, Web of Science, LILACS, and Google Scholar were searched without restrictions up to March 2020. Studies with twin method were considered and the risk of bias assessment was performed using quality of genetic association studies checklist (Q-Genie). The coefficient of heritability (h2), model-fitting approaches, and coefficient correlation were used to estimate the genetic/environmental influence on occlusal traits. The GRADE tool was used to assess the quality of the evidence. Results Ten studies met the eligibility criteria. Three studies presented good quality, five moderate quality, and two poor quality. Most studies have found that the intra-arch traits, mainly the maxillary arch morphology, such as width (h2 16–100%), length (h2 42–100%), and shape (h2 42–90%), and the crowding, mainly for mandibular arch (h2 35–81%), are under potential heritability influence. The traits concerning the inter-arch relationship, as overjet, overbite, posterior crossbite, and sagittal molar relation, seem not to be genetically determined. The certainty of the evidence was graded as low for all outcomes. Conclusions Although weak, the available evidence show that the heritability factors are determinant for the intra-arch traits, namely, arch morphology and crowding. Possibly due they are functionally related, the occlusal traits concerning the maxillary and mandibular relationship seem to have environmental factors as determinants. In this scenario, early preventive approaches can offer a more effective and efficient orthodontic treatment.","url":"https://doi.org/10.1186/s40510-020-00330-8","authors":["Lucas Garcia Santana","Carlos Flores‐Mir","Alejandro Iglesias‐Linares","Matheus Melo Pithon","Leandro Silva Marques"],"tags":["Heritability","Medicine","Orthodontics","Psychology","Biology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-30","doi":"https://doi.org/10.1186/s40510-020-00330-8","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4387143685","name":"Digital Twin Technology: Opportunities and Challenges for Smart Era's Applications","source":"openalex","abstract":"Digital Twin technology is an emerging technology that aims to create a digital replica of a physical entity, allowing for real-time monitoring, analysis, and control of the physical system. This technology is gaining popularity in the context of smart cities, smart factories, and other smart applications. This paper provides an overview of the opportunities and challenges associated with the use of Digital Twin technology in the smart era. The paper first introduces the concept of Digital Twin technology and its applications in different domains. Then, the paper discusses the benefits and challenges of implementing Digital Twin technology in smart applications. The benefits include improved efficiency, reduced costs, increased productivity, and enhanced decision-making capabilities. The challenges include data privacy and security, standardization, and interoperability. The paper concludes with a discussion of the future directions of Digital Twin technology and its potential to transform smart applications.","url":"https://doi.org/10.1145/3607947.3608015","authors":["Amit Kumar Tyagi","Richa Richa"],"tags":["Interoperability","Computer science","Context (archaeology)","Popularity","Standardization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-03","doi":"https://doi.org/10.1145/3607947.3608015","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W3040086022","name":"Smart Digital Marketing Capabilities for Sustainable Property Development: A Case of Malaysia","source":"openalex","abstract":"Digital tools and marketing have been widely adopted in various industries throughout the world. These tools have enabled companies to obtain real-time customer insights and create and communicate value to customers more effectively. This study aims at understanding the principles and practices of sustainable digital marketing in the Malaysian property development industry by investigating the extent to which digital marketing has been adopted, the impediments to its adoption, and the strategies to improve digital capabilities for the local context. Digital marketing theories, practices, and models from other industries are adopted and applied to the local property development industry to lay the foundation for making it smart and sustainable. This paper proposes a marketing technology acceptance model (MTAM) for digital marketing strategy and capability development. The key factors used in the model are ease of use, perceived usefulness, perceived cost, higher return, efficiency, digital service quality, digital information quality, digital system quality, attitude towards use, and actual use. The model and hypothetical relationships of critical factors are tested using structural modeling, reliability, and validity techniques using a sample of 279 Malaysian property development sector representatives. A quantitative approach is adopted, using an online questionnaire tool to investigate the behavior of respondents on the current digital marketing practices and capabilities of Malaysian property development companies. The results show that the sample property development companies are driven by the benefit of easily obtaining real-time customer information for creating and communicating value to customers more effectively through the company brand. Further strategies, such as creating real-time interactions, creating key performance indicators to measure digital marketing, personalization, and encouraging innovation in digital marketing are most preferred by local professionals. An adoption framework is provided based on the reviewed models and results of the current study to help transform the Malaysian property development sector into a smart and sustainable property development sector by facilitating the adoption of digital technologies. The results, based on real-time data and pertinent strategies for improvement of the local property sector, are expected to pave the way for inducing sustainable digital marketing trends, enhancing capabilities, and uplifting the state of the property development sector in developing countries.","url":"https://doi.org/10.3390/su12135402","authors":["Sheen Low","Fahim Ullah","Sara Shirowzhan","Samad M. E. Sepasgozar","Chyi Lin Lee"],"tags":["Digital marketing","Marketing","Quality (philosophy)","Business","Sample (material)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-07-03","doi":"https://doi.org/10.3390/su12135402","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W7123362569","name":"Digital Twins in Sustainability Initiatives: A Review From Life Cycle Assessment Perspective","source":"openalex","abstract":"The use of Digital Twins (DTs) to aid decision-making has grown significantly in recent years, especially with the rise of Industry 4.0. Among the various goals and applications, DTs are particularly noteworthy in sustainability initiatives and Life Cycle Assessment (LCA). In LCA, DTs can replicate physical systems using real-time data, supporting various stages of the analysis. Despite its potential, there is a noted lack of theoretical foundation in this area. Therefore, this article aims to provide a systematic literature review on the use of DTs for decision-making in LCA studies. The review includes 57 studies published in scientific journals and conference proceedings available in the main scientific databases. Unlike prior reviews that have examined DTs in sustainability more broadly, this work consolidated evidence and provided a comprehensive mapping based on key research questions. We highlight that the literature on this topic is recent and growing, with applications concentrated mainly in construction and manufacturing, but also extending to supply chains, energy, mining, and consumer products. Most studies apply DTs in the Life Cycle Inventory phase to support real-time data collection via Industry 4.0 technologies, while more advanced works extend their use to impact assessment, interpretation, and scenario optimization. Overall, DTs show strong potential to enable dynamic, data-driven, and decision-oriented LCA, although challenges related to data quality, interoperability, scalability, and standardization still limit their widespread adoption.","url":"https://doi.org/10.1109/access.2026.3652173","authors":["Carlos Henrique dos Santos","Ana Wooley","André Luiz Romano"],"tags":["Sustainability","Standardization","Perspective (graphical)","Life-cycle assessment","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/access.2026.3652173","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4382468063","name":"Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure","source":"openalex","abstract":"Currently, studies involving a digital twin are gaining widespread interest. While the first fields adopting such a concept were in manufacturing and engineering, lately, interest extends also beyond these fields across all academic disciplines. Given the inviting idea behind a digital twin which allows the efficient exploitation and utilization of simulations such a trend is understandable. The purpose of this paper is to use a scientometrics approach to study the early publication history of the digital twin across academia. Our analysis is based on large-scale bibliographic and citation data from Scopus that provides authoritative information about high-quality publications in essentially all fields of science, engineering and humanities. This paper has four major objectives. First, we obtain a global overview of all publications related to a digital twin across all major subject areas. This analysis provides insights into the structure of the entire publication corpus. Second, we investigate the co-occurrence of subject areas appearing together on publications. This reveals interdisciplinary relations of the publications and identifies the most collaborative fields. Third, we conduct a trend and keyword analysis to gain insights into the evolution of the concept and the importance of keywords. Fourth, based on results from topic modeling using a Latent Dirichlet Allocation (LDA) model we introduce the definition of a scientometric dimension (SD) of digital twin research that allows to summarize an important aspect of the bound diversity of the academic literature.","url":"https://doi.org/10.1109/access.2023.3290488","authors":["Frank Emmert‐Streib","Shailesh Tripathi","Matthias Dehmer"],"tags":["Latent Dirichlet allocation","Scientometrics","Computer science","Topic model","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3290488","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"oa:W4410287237","name":"Digital transformation in the real estate industry: A systematic literature review of current technologies, benefits, and challenges","source":"openalex","abstract":"The digital transformation of the real estate sector constitutes a pivotal and dynamic field of inquiry as emergent technologies incessantly alter conventional methodologies. This systematic literature review evaluates the integration, utilization, and ramifications of significant digital transformation technologies within the real estate sector, with a particular focus on artificial intelligence (AI), the Internet of Things (IoT), blockchain technology, augmented reality (AR), virtual reality (VR), and digital twins. Employing the PRISMA methodology, an exhaustive search across four principal academic databases yielded 36 studies that provide a solid foundation for comprehensive analysis. This review elucidates how these technologies fundamentally restructure real estate operations, encompassing property management, investment evaluation, consumer interaction, and operational frameworks. The findings demonstrate that digital transformation yields substantial advantages for stakeholders, including property managers, investors, purchasers, and tenants. Principal benefits comprise enhanced operational efficiency, improved data-driven decision-making, and augmented user engagement. Nevertheless, the review underscores significant obstacles, such as elevated implementation costs, apprehensions regarding data security, resistance to technological advancement, and integration challenges that may obstruct seamless assimilation. By furnishing precise analyses regarding these advantages and obstacles, this review presents pragmatic methodologies for industry practitioners to maneuver through digital transformation effectively. It advocates for implementing modular technology to optimize financial expenditures and emphasizes the necessity of resilient cybersecurity protocols to mitigate data-related apprehensions. Subsequent investigations ought to concentrate on the enduring implications of these technologies on market dynamics and the fulfillment of stakeholders.","url":"https://doi.org/10.1016/j.jjimei.2025.100340","authors":["Basheer Al-haimi","Haliyana Khalid","Nor Hidayati Zakaria","Tuti Haryati Jasimin"],"tags":["Current (fluid)","Digital transformation","Real estate","Systematic review","Transformation (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-12","doi":"https://doi.org/10.1016/j.jjimei.2025.100340","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.21203/rs.3.rs-2850354/v1","name":"Digital Twin-Based Pump Station Dynamic Scheduling for Energy-Saving Optimization in Water Supply System","source":"crossref","abstract":"Abstract In urban water supply systems, pump stations are the hubs for making the complete systems operate regularly as well as the main energy-consuming units. In order to address the current problems of water supply systems, such as high energy consumption and low efficiency of the pump station operation, large fluctuations of liquid levels of the clean water reservoirs, and poor response and adaptability to disturbance events, a digital twin (DT)-based full-process dynamic pump station scheduling method for energy-saving optimization in water purification plants was proposed in this study. To be specific, the DT technology was introduced to monitor production disturbance in real time, trigger the rescheduling process in time, and make a fast response to disturbance events during production, so as to provide technical and methodological support for unattended pump stations. The results of experiments revealed that an average energy-saving rate of 9.78% could be achieved by using the proposed method on the premise of ensuring the full-process dynamic water balance. In addition, the method could maintain high efficiency during the operation of the pumps, and guarantee the safety and stability of the pump stations.","url":"https://doi.org/10.21203/rs.3.rs-2850354/v1","authors":["Sheng-Wen Zhou","Shun-Sheng Guo","Wen-Xiang Xu","Bai-Gang Du","Jun-Yong Liang","Lei Wang","Yi-Bing Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-06T21:30:37Z","doi":"10.21203/rs.3.rs-2850354/v1","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1109/icrms65480.2025.00131","name":"A Review of Digital Twin Framework and Key Technology Applications for Electronic Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrms65480.2025.00131","authors":["Dongqian Shao","Bowen Cui","Shaokang Fan","Yuxiang Lin","Yaohui Guo","Ying Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-28T18:40:04Z","doi":"10.1109/icrms65480.2025.00131","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1108/ecam-11-2023-1095","name":"Applications of digital twin technology in construction safety risk management: a literature review","source":"crossref","abstract":"Purpose With increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management. Design/methodology/approach This study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends. Findings The research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges. Originality/value This study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.","url":"https://doi.org/10.1108/ecam-11-2023-1095","authors":["Qianmai Luo","Chengshuang Sun","Ying Li","Zhenqiang Qi","Guozong Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-21T06:29:12Z","doi":"10.1108/ecam-11-2023-1095","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.69635/978-1-0690482-1-9-ch10","name":"APPLICATION OF DIGITAL TWIN TECHNOLOGY IN POSTWAR CITY RECONSTRUCTION: NEW HORIZONS FOR RECOVERY","source":"crossref","abstract":"Digital Twins represent an innovative technology that is increasingly being adopted in urban planning, management, and infrastructure recovery. This article discusses the development of a digital twin for Mariupol (Ukraine), a city severely affected by military actions and currently under occupation. The digital twin will be developed based on data collected before the occupation, with the goal of facilitating the efficient reconstruction of the city after its liberation. The primary objective of implementing digital twin is to create tools for the rapid restoration of the city and provide convenient simulation of urban planning scenarios. The article also discusses the development algorithms and mathematical models that can be used to build and manage such systems.","url":"https://doi.org/10.69635/978-1-0690482-1-9-ch10","authors":["Mariia Мnatsakanian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-12T00:04:38Z","doi":"10.69635/978-1-0690482-1-9-ch10","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1109/smartindustrycon65166.2025.10986247","name":"Formation of a Digital Twin of the Customer of Digital Transport Platform Services","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon65166.2025.10986247","authors":["Aleksey Dorofeev","Nadezhda Filippova","Abakar Abakarov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-09T17:56:01Z","doi":"10.1109/smartindustrycon65166.2025.10986247","addedAt":"2026-09-01T01:47:43.605Z","updatedAt":"2026-09-01T01:47:43.605Z"},{"id":"doi:10.1201/9781003582489-13","name":"Emerging Application of Digital Twin Technology toward Development of Smart Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003582489-13","authors":["Jimmy Mehta","Yaman Hooda","Yati Aggarwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T07:50:18Z","doi":"10.1201/9781003582489-13","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4337/9781035364282.00024","name":"Citizen engagement and good governance: a focus on ‘who is governed’ in the context of the twin transition","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035364282.00024","authors":["Jacopo Resti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-25T20:59:16Z","doi":"10.4337/9781035364282.00024","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/icscn67106.2025.11308450","name":"A Technological Review of Digital Twin-based Co-Simulation Framework for Back Support Exoskeletons in Precision Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icscn67106.2025.11308450","authors":["Gurjeet Kaur","Irshad Qureshi","Ashutosh Bagde","Sujal Zade"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-30T18:35:51Z","doi":"10.1109/icscn67106.2025.11308450","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/app11156810","name":"BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review","source":"crossref","abstract":"In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&amp;M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.","url":"https://doi.org/10.3390/app11156810","authors":["Corentin Coupry","Sylvain Noblecourt","Paul Richard","David Baudry","David Bigaud"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-25T22:06:21Z","doi":"10.3390/app11156810","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/s12008-026-02629-y","name":"Machine learning, digital twin, and AR/VR in manufacturing facility layout planning: a review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12008-026-02629-y","authors":["Aseman Erfani Jazi","Farhad Ameri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T09:59:40Z","doi":"10.1007/s12008-026-02629-y","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.18280/rces.100402","name":"Design and Research of Digital Twin Construction Platform Based on Xiazhuang Inverted Siphon Project","source":"crossref","abstract":"","url":"https://doi.org/10.18280/rces.100402","authors":["Menghui Gu","Wenkai Yan","Xinyang Zhang","Kenan Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-29T03:35:11Z","doi":"10.18280/rces.100402","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1375/twin.5.1.8","name":"Hypertensive Disease in Twin Pregnancies: A Review","source":"crossref","abstract":"Abstract Reports over the past seventy years show that twin gestations lead to an increased risk of hypertensive disorders. Numerous studies discuss the incidence of hypertensive disease in twin versus singleton gestations, as well as effects of parity, race, age, income level, smoking, zygosity and heritability on this condition. The range of relative risk of gestational hypertension, preeclampsia and eclampsia for twin compared to singleton gestations is 1.2 to 2.7, 2.8 to 4.4 and 3.4 to 5.1 respectively. Parity, African-American ethnicity, and young maternal age are all factors that increase the relative risk of acquiring hypertensive disease to 4.0, 1.8 and 1.5 in mothers of twin gestations. Factors such as maternal smoking, income level and zygosity have a negligible effect on the relative risk of acquiring hypertensive disease in twin gestations. In addition to twin mothers exhibiting a higher incidence of hypertensive disease compared to their singleton counterparts, they also exhibit an earlier onset of hypertensive disease at both 35 and 37 weeks of gestation comparatively. Uric acid levels measured at 30–31 weeks of gestation in twin mothers predicted the onset of preeclampsia with a sensitivity of 73% and a specificity of 74%. The range of risks presented in the literature is wide and the therapies avocated are diverse. We therefore decided to summarize the risks in a comparative fashion and to review current therapeutic strategies for the convenience of clinicians who confront increasing numbers of multiple pregnancies. The tables bring all recent published risks together in the first comparative analysis in which the data has been converted to relative risks and confidence intervals. Because the literature is relatively silent on specific management of hypertensive disease in twin pregnancies, general management recommendations for singleton gestations should be used by practitioners caring over twin gestations.","url":"https://doi.org/10.1375/twin.5.1.8","authors":["Stephan Krotz","Javier Fajardo","Sanjay Ghandi","Ashlesha Patel","Louis G. Keith"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2007-05-06T06:13:25Z","doi":"10.1375/twin.5.1.8","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1145/3717413.3717437","name":"A Digital Twin Platform Applied to Hydrogen Electrolyzers","source":"crossref","abstract":"Digital Twin (DT) technology emerges as a promising solution for addressing the challenges in electrolyzer operation, resulting from scalability issues, component degradation, and limited lifespan. This paper presents a service-oriented DT architecture and platform applied to an industrial-scale hydrogen electrolyzer. By effectively mimicking the behavior of the physical object, the DT enhances predictive diagnosis and supervision of its operation. Initially, a generic DT framework is realized, followed by a demonstration of its application using an electrolyzer use case. The approach combines digital the object with services, facilitating comprehensive monitoring, fostering proactive maintenance, and performance enhancements. Condition monitoring and anomaly detection strategies are implemented to enhance real-time supervision. The overarching objective of this platform is to facilitate the creation of scalable, extendable, interoperable, and dynamic DTs for electrolyzers, thereby advancing their performance and efficiency in hydrogen production systems. Moreover, the DT architecture is platform-agnostic, allowing for the seamless extension to other use cases.","url":"https://doi.org/10.1145/3717413.3717437","authors":["Amit Kumar Singh","Jelke Wibbeke","Amin Raeiszadeh","Nils Huxoll","Michael Brand"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-11T15:58:49Z","doi":"10.1145/3717413.3717437","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.future.2025.107997","name":"Methodologies in digital twin for manufacturing industry: A systematic literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.future.2025.107997","authors":["Gabriel Aznar Lapuente","Paula Morella Avinzano","Maria Pilar Lamban Castillo","Dammika Seneviratne"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-04T13:27:04Z","doi":"10.1016/j.future.2025.107997","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/su172411205","name":"RETRACTED: Ariyachandra, M.R.M.F.; Wedawatta, G. Digital Twin Smart Cities for Disaster Risk Management: A Review of Evolving Concepts. Sustainability 2023, 15, 11910","source":"crossref","abstract":"The journal retracts the article titled “Digital Twin Smart Cities for Disaster Risk Management: A Review of Evolving Concepts” [...]","url":"https://doi.org/10.3390/su172411205","authors":["M. R. Mahendrini Fernando Ariyachandra","Gayan Wedawatta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T09:36:39Z","doi":"10.3390/su172411205","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/s42154-025-00385-5","name":"Intelligent Health Management of Lithium-Ion Batteries: A Review and Future Perspectives with Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42154-025-00385-5","authors":["Mengmeng Wang","Shizhe Feng","Darius Andriukaitis","Zhixiong Li","Sumika Chauhan","Govind Vashishtha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-09T18:44:53Z","doi":"10.1007/s42154-025-00385-5","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21203/rs.3.rs-3649651/v1","name":"5G-enabled, battery-less smart skins for self-monitoring megastructures and digital twin applications","source":"crossref","abstract":"Abstract With the current development of the 5G infrastructure, there presents a unique opportunity for the deployment of battery-less mmWave reflect-array-based sensors. These fully-passive devices benefit from having a larger detectability than alternative battery-less solutions to create self-monitoring megastructures. The presented ’smart’ skin sensor uses a Van-Atta array design enabling ubiquitous local strain monitoring for the structural health monitoring of composite materials featuring wide interrogation angles. Proof-of-concept prototypes of these ’smart’ skin millimeter-wave identification tags, that can be mounted on or embedded within common materials used in wind turbine blades, present a highly-detectable radar cross-section of -33.75dBsm and -35.00dBsm for mounted and embedded sensors respectively. Both sensors display a minimum resolution of 202µ-strain even at 40◦ off-axis enabling interrogation of the fully-passive sensor at oblique angles of incidence. When interrogated from a proof-of-concept reader, the fully-passive, sticker-like mmID enables local strain monitoring of both carbon fiber and glass fiber composite materials. The sensors display a repeatable and recoverable response over 0 to 3000µ-strain and a sensitivity of 7.55kHz/µ-strain and 7.92kHz/µ-strain for mounted and embedded sensors, respectively. Thus, the presented 5G-enabled battery-less sensor presents massive potential for the development of ubiquitous Digital Twinning of composite materials in future smart cities architectures.","url":"https://doi.org/10.21203/rs.3.rs-3649651/v1","authors":["Charles Lynch","Ajibayo Adeyeye","El Mehdi Abbara","Ashraf Umar","Mohammed Alhendi","Chris Minnella","Joseph Iannotti","Nancy Stoffel","Mark Poliks","Manos Tentzeris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-07T06:54:55Z","doi":"10.21203/rs.3.rs-3649651/v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.12688/digitaltwin.17863.1","name":"A digital twin-based analysis method to assess geometric variations for parts in batch production","source":"crossref","abstract":"Background: In mass production, engineers are more concerned with the statistical distribution accuracy of parts in mass production rather than just the qualification of individual parts. However, currently, the statistical analysis methods designed for product accuracy are relatively scattered, and most of them focus on nominal part models. Therefore, there is a need to design a statistical analysis method for parts in mass production based on the Digital Twin model. Methods: This paper presents a novel method to analyse the geometric variations of parts in batch production in the production line, which is based on digital twins to model and evaluate deviations contributed by the geometrical condition, assembly condition and material condition. Firstly, the statistical descriptions of the parts, particularly the features of a digital twin for parts in batch production related to the geometry and position, are classified into various hierarchies. Secondly, a covariance method is employed to analyse the law of their shape from the descriptions. Thirdly, the parts' shape feature similarity for different terms is derived, including the linear features of pose constraint, rotation deviation, and geometric deviation and the curve features like a geometric deviation. Finally, the probability distribution of discrete points on the manufacturing error caused by different reasons is calculated. Results: Two case studies of reducer and rail highlight the applicability of the proposed approach. The standard deviation of the points has similar trend with sample cases according to normal distribution. Conclusions: This paper categorizes the deviations of batch parts into the linear features of pose constraint, rotation deviation, and geometric deviation. When batch parts exhibit any of these deviation types, the eigenvalues and eigenvectors of their covariance matrix show certain patterns, enabling the identification of the deviation type and calculation of the statistical deviation probability distribution for the corresponding features.","url":"https://doi.org/10.12688/digitaltwin.17863.1","authors":["Junnan Zhi","Yanlong Cao","Tukun Li","Anwer Nabil","Fan Liu","Xiangqian Jiang","Jiangxin Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-24T16:50:07Z","doi":"10.12688/digitaltwin.17863.1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1177/14614448251338290","name":"There is no such thing as a digital twin: Deconstructing sociotechnical imaginaries of digital twin technologies in Dutch urban governance","source":"crossref","abstract":"Within the context of three-dimensional simulations of urban space and their variables within, digital twin technologies (DTs) are touted as making urban governance and planning effective, calculable, evidence-based while reducing costs and complexity. We conducted 3 years of in-depth fieldwork on the application of DTs for urban governance in the Netherlands. Our empirical and critical analysis shows that DTs are not characterized by a novel quality of technological promise, but rather conform to prevalent narratives wherein technologies are marketed and advertised through specific imaginaries. Deconstructing the sociotechnical imaginaries through empirical evidence of real uses cases highlights the gap between the promise of the digital twin narratives and the emerging responses and practices in government. Therefore, through deconstruction, we call for practical, realistic, and responsible uses of DTs for urban governance and provide preliminary regulatory steps.","url":"https://doi.org/10.1177/14614448251338290","authors":["Sofie de Wilde de Ligny","Sharon van Geldere","Mirko Tobias Schäfer","Albert Meijer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-02T07:00:32Z","doi":"10.1177/14614448251338290","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.53829/ntr202602fa3","name":"Research and Development of Optical-network Digital-twin Technology for On-demand Optical Network Services","source":"crossref","abstract":"","url":"https://doi.org/10.53829/ntr202602fa3","authors":["Toru Mano","Hideki Nishizawa","Kazuya Anazawa","Hiroyuki Ishihara","Atsushi Yamamoto","Yoshiaki Sone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-10T22:12:39Z","doi":"10.53829/ntr202602fa3","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/setcom64758.2025.10932401","name":"Digital Twin-Driven Predictive Maintenance: A Review of Induction Motor Bearing Fault Detection and Prognostics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/setcom64758.2025.10932401","authors":["Sachin G. Jagdale","Vijayshree A. More","Prajakta B. Murmude"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-26T06:43:40Z","doi":"10.1109/setcom64758.2025.10932401","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/s10462-025-11455-9","name":"A collaborative metaverse-digital twin system for traffic perception, reasoning, and resource scheduling","source":"crossref","abstract":"Abstract In highly dynamic and high-concurrency urban traffic environments, intelligent systems must be capable of real-time perception, accurate reasoning, and agile scheduling to effectively manage complex traffic situations. However, prevailing approaches often suffer from fragmented perception, shallow reasoning, and delayed scheduling, leading to a lack of coordination among critical system modules. This deficiency significantly hinders holistic intelligent decision-making and real-time regulation under rapidly changing conditions. To address these challenges, this paper proposes a collaborative framework that integrates digital twins with metaverse-based semantic modeling. A three-layer architecture is constructed, consisting of the physical infrastructure layer, virtual twin resource layer, and traffic situation awareness layer, thereby forming a closed-loop mechanism of perception–reasoning–scheduling. The proposed system leverages the immersive semantic environment provided by the metaverse to enable contextual interpretation and intent recognition of traffic data. This semantic understanding drives the dynamic evolution and causal reasoning of digital twin entities. Based on the inferred results, a cloud–edge–end collaborative scheduling strategy is triggered to allocate resources adaptively. In addition, an interactive feedback mechanism is incorporated to support the real-time verification and continuous optimization of scheduling outcomes. Within this framework, we design a metaverse-driven Mixture-of-Experts perception network that enables multi-level semantic recognition and prediction of global traffic trends, regional congestion, and local anomalies. Furthermore, we introduce a multi-agent scheduling mechanism that combines virtualized resource mapping with structure-aware transfer strategies, thereby enhancing the generalization capacity and dynamic responsiveness of scheduling policies across heterogeneous infrastructure environments. Extensive experimental evaluations demonstrate that the proposed approach outperforms existing mainstream methods across several key metrics, including task acceptance rate, long-term revenue, congestion mitigation effectiveness, and resource utilization efficiency. These results validate the proposed framework’s superior adaptability and system-level of intelligence in complex traffic scenarios.","url":"https://doi.org/10.1007/s10462-025-11455-9","authors":["Zhongnan Zhao","Zhiqiang Bi","Yue Wang","Xu Xie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T14:45:42Z","doi":"10.1007/s10462-025-11455-9","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.35490/ec3.2023.307","name":"Creation of digital twin models for renovation: an integrative literature review","source":"crossref","abstract":"","url":"https://doi.org/10.35490/ec3.2023.307","authors":["Daniel Lõhmus","Ergo Pikas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-09T15:09:25Z","doi":"10.35490/ec3.2023.307","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36680/j.itcon.2024.008","name":"A review of drivers and barriers of Digital Twin adoption in building project development processes","source":"crossref","abstract":"Over the past few years, the AECO Industry has undergone a shift toward digital transformation, with a growing trend towards adopting innovative technologies such as Digital Twin (DT). DT offers a wide range of applications throughout the building development process. However, some specific factors impede its widespread adoption in the building industry. This study aims to systematically review the available literature on the building project development process from the perspective of DT, with a particular focus on predictive simulations, i.e., co-sims. The review provides a comprehensive overview of drivers and barriers to DT adoption through an analysis of 147 studies between 2013 and 2023. The research identifies seven external and 41 internal drivers, including efficient project management and monitoring, predictive maintenance, and the collection and visualization of real-time data, all of which contribute to improved decision-making processes and reduced operational expenses. Further, the study identifies nine external and 31 internal barriers that impede the adoption of DT in the building development process. These barriers encompass challenges such as a high initial investment cost, a scarcity of a skilled workforce, difficulties in data interoperability, and resistance to change within the organization. A key outcome of the literature review is having identified the opportunity to exploit technologies developed in the automotive sector that enable a seamless integration of specialized simulator models in building development processes, resulting in collaborative simulations. Thus, we propose the concept of a Building Simulation Identity Card (BSIC) to be pursued in future research that would enable stakeholders to address the challenges of collaboration, cooperation, coordination, and communication by creating a common vocabulary to effectively facilitate the adoption of DT in the building's development process.","url":"https://doi.org/10.36680/j.itcon.2024.008","authors":["Muhammad Farhan Jahangir","Carl Peter Leslie Schultz","Aliakbar Kamari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-28T12:14:26Z","doi":"10.36680/j.itcon.2024.008","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.26481/dis.20191004mh","name":"Digital twin of analogue man","source":"crossref","abstract":"","url":"https://doi.org/10.26481/dis.20191004mh","authors":["Heusinkveld"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-09-26T15:02:59Z","doi":"10.26481/dis.20191004mh","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1049/pbpc071e_bm","name":"Back Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e_bm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e_bm","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/oceans58557.2025.11104664","name":"Digital Twin-Driven Navigation of AUVs Through Sensor Space Matching","source":"crossref","abstract":"","url":"https://doi.org/10.1109/oceans58557.2025.11104664","authors":["Martin Pilon","Benoit Zerr"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-11T17:40:45Z","doi":"10.1109/oceans58557.2025.11104664","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1002/9781394287420","name":"Artificial Intelligence‐Enabled Blockchain Technology and Digital Twin for Smart Hospitals","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T07:06:37Z","doi":"10.1002/9781394287420","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.25960/mo.2020.5-6.53","name":"Industrial systems with digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.25960/mo.2020.5-6.53","authors":["Yury A. Sokolov","Sergey A. Gusev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-01T17:49:48Z","doi":"10.25960/mo.2020.5-6.53","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/978-3-031-38277-2_61","name":"Digital Twin Applications in the Extractive Industry—A Short Review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-38277-2_61","authors":["J. Duarte","J. Santos Baptista"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-03T20:01:52Z","doi":"10.1007/978-3-031-38277-2_61","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.cpes.2026.06.003","name":"Review of digital twin and generative artificial intelligence for operation and control of new-type power systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cpes.2026.06.003","authors":["Qiuwei Wu","Wenyan Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T20:29:13Z","doi":"10.1016/j.cpes.2026.06.003","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5023190","name":"Research on Deep Cone Thickener Condition Monitoring Based on Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5023190","authors":["Weizhong Wang","Tian Han","Ang Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-16T14:38:22Z","doi":"10.2139/ssrn.5023190","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4860822","name":"Digital Twin Framework for Optimizing Crop Growth and Management in Controlled Environment Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4860822","authors":["Azlan Zahid","Mike  O. Ojo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T05:20:17Z","doi":"10.2139/ssrn.4860822","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/978-3-658-49581-7_2","name":"Impulse zur integrierten Umsetzung von Digitalisierung und Nachhaltigkeit: Von der Twin Challenge zur Twin Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-658-49581-7_2","authors":["Kendra Pöhlmann","Julia Hodapp"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T08:58:28Z","doi":"10.1007/978-3-658-49581-7_2","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1142/s2301385026500305","name":"Knowledge–Based Digital Twin Systems: Developing Actionable Knowledge–Enhanced Digital Twin","source":"crossref","abstract":"In the context of research on knowledge-based digital twin, this paper proposes an actionable knowledge-enhanced digital twin. Compared to related studies, it emphasizes operability in cognitive decision-making and service delivery processes. First, this paper provides a systematic definition of the concept of knowledge-enhanced digital twin and introduces a six-dimensional model to comprehensively describe various aspects of digital twin. Subsequently, a framework for the digital twin system is designed based on the model’s hierarchical structure, clarifying the human–machine interaction mechanisms within the system. To enhance the dynamism of services, a service-oriented multi-scale knowledge model is further proposed. Finally, the instantiation and evaluation verification of the system were carried out based on the scenario of the unmanned natural gas station. The results demonstrate that the digital twin system proposed in this paper has significant advantages in enhancing system intelligence and improving service response capabilities.","url":"https://doi.org/10.1142/s2301385026500305","authors":["Yun Chen","Jian Lv","Cheng Yang","Haisong Huang","Henghao Qin","Fangfang Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-27T11:53:36Z","doi":"10.1142/s2301385026500305","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.12688/digitaltwin.17971.2","name":"Application of digital twin for industrial process control: A case study of gauge-looper-tension optimized control in strip hot rolling","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17971.2","authors":["Jie Sun","Shang Chen","Cheng-yan Ding","Wen Peng","Dian-hua Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T07:30:06Z","doi":"10.12688/digitaltwin.17971.2","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6389178","name":"Toward Sustainable Industry 5.0 Manufacturing: A Systematic Review of AI-IoT-Digital Twin Integration for Real-Time Monitoring and Intelligent Decision-Making","source":"crossref","abstract":"The integration of Artificial Intelligence (AI), the Internet of Things (IoT), and digital twin technologies is transforming modern manufacturing by enabling real-time monitoring, predictive analytics, and intelligent decisionmaking. While existing studies often investigate these technologies individually, limited research explores their combined potential within the emerging paradigm of Industry 5.0, which emphasizes sustainability, human-centric innovation, and resilient manufacturing systems. This study addresses this gap by conducting a systematic literature review of 25 peer-reviewed studies published between 2020 and 2025, following the PRISMA framework. The review synthesizes findings across four key application domains: predictive maintenance, quality control, process optimization, and supply chain management. The analysis shows that machine learning and deep learning techniques dominate predictive maintenance and defect detection, while reinforcement learning and hybrid AI-IoT-digital twin architectures enable adaptive scheduling, energy optimization, and intelligent logistics coordination. Empirical evidence from the reviewed studies indicates that integrated smart manufacturing systems can reduce energy consumption by 30-40%, unplanned downtime by 15-25%, and defective outputs by 10-20%, contributing significantly to resource efficiency and carbon-emission reduction. By combining thematic synthesis with a conceptual integration framework, this study provides a strategic roadmap for the transition from Industry 4.0 to sustainable Industry 5.0 manufacturing ecosystems. The findings highlight how the convergence of AI, IoT, and digital twin technologies supports circular economy principles, cleaner production practices, and resilient industrial systems, positioning these technologies as key enablers of next-generation sustainable manufacturing.","url":"https://doi.org/10.2139/ssrn.6389178","authors":["Md Foysal Hossain","S M Habibullah","Md Jahedul Islam Arif","Md. Mehedi Hasan Kibria"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-29T13:13:34Z","doi":"10.2139/ssrn.6389178","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.55524/ijirem.2026.13.2.14","name":"A Review of AI-Driven Railway Traffic Management Using Digital Twin Technology","source":"crossref","abstract":"The railway system is among the most extensive and complex parts of the world’s transport system. Traffic management is required to achieve punctuality, optimize capacity, and avoid delays from cascading to other trains. Classic approaches to rail operations have involved definition of dispatching via a manual approach and centralized rule-based control, resulting in poor scalability in regions with lots of mixed-traffic density. This technical report examines technologies that improve rail traffic management using modern optimization methods, machine learning, reinforcement learning, and digital twin methods. Conventional operations research techniques (e.g., mixed integer linear program (MILP), branch &amp; bound, model predictive control) to improve efficiency of scheduling/travel time include AI-driven, deep reinforcement learning-based delay prediction; XGBoost-based prediction of delays, predictive maintenance frameworks. The results of the comparison show that optimization-based techniques continue to provide effective support in strategic planning and creating timetables, whereas they provide limited potential for dynamic, real-time control due to the lack of adaptability to changing operating conditions. Reinforcement learning techniques, on the other hand, will provide greater flexibility in dealing with uncertain, rapidly changing dispatching situations. Supervised models will provide good performance for delay prediction/disruption prediction (e.g., XGBoost), when applied to these rail systems. Lastly, this review suggests that the most promising future direction for intelligent railway traffic management systems will come from the development of hybrid Digital Twin architectures, which will integrate predictive analytics with adaptive control algorithms.","url":"https://doi.org/10.55524/ijirem.2026.13.2.14","authors":["Zunaira Fatima","Yathi Varun Somoju","Yash Biradar","Diana Moses"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-04T11:37:08Z","doi":"10.55524/ijirem.2026.13.2.14","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4994924","name":"Vr-Enable Digital Twin System in Rural Construction with Sustainability Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4994924","authors":["Zhengji Liang","Ray Y. ZHONG","Yishuo Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-21T22:37:45Z","doi":"10.2139/ssrn.4994924","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.70675/d78d5093z2bb8z40d1z8458zc402e7ea423c","name":"Investigation of a Common Framework for Models Interoperability in the Digital Twin(s) of Flexible Production Line","source":"crossref","abstract":"Exploration d'un cadre commun pour l'interopérabilité de models de jumeaux numériques dans une station de prodution flexible Les jumeaux numériques (JN) promettent une compréhension du cycle de vie et une optimisation en boucle fermée. Pourtant, les projets actuels sont fragmentés par des outils, des formats et une sémantique hétérogènes. Cette thèse s'interroge : comment assurer l'interopérabilité des modèles entre des représentations et des outils hétérogènes dans les écosystèmes de JN de fabrication ? Elle décompose cette question fondamentale (QR0) en cinq sous-questions portant sur les obstacles, l'évaluation de la maturité, l'architecture, les composants clés et la validation.Méthodologiquement, le travail se déroule en trois phases. Premièrement, une revue de la littérature diagnostique les lacunes conceptuelles et évaluatives et distille les exigences d'interopérabilité et d'évaluation (Phase I). Deuxièmement, la thèse conçoit deux artefacts (Phase II) : (i) un modèle de maturité JN neutre au niveau du domaine, comportant quatre dimensions : Capacité, Coopérabilité, Exhaustivité et Couverture du cycle de vie (Cap/Cor/Com/Lc) – afin de transformer l'« interopérabilité » en objectifs mesurables ; et (ii) un cadre d'interopérabilité basé sur des ontologies, le Semantic Hub, qui transforme les modèles de conception et de simulation en graphes de connaissances et assure la traduction/transformation bidirectionnelle entre les outils grâce à deux ontologies de domaine : l'ontologie de conception de système (SysDO) et l'ontologie de simulation (SMO), ainsi que des services d'analyse et de cartographie. Les contributions correspondent aux QR comme suit : C6 (revue de la littérature) → QR1 ; C5 (modèle de maturité) → QR2 ; C1 (Semantic Hub) → QR3 ; C2-C4 (SysDO, SMO, analyse/cartographie) → QR4 ; la QR5 est abordée par des études de cas.L'architecture du Semantic Hub repose sur (a) des ontologies de référence multicouches, (b) des règles de cartographie sémantique (génériques et spécifiques au domaine), et (c) des services d'analyse/génération qui matérialisent les modèles sous forme de graphes de connaissances sous SysDO/SMO. Cette conception permet un échange traçable et indépendant des outils au niveau sémantique (plutôt que purement syntaxique) et prend en charge à la fois la traduction (préservation du contexte) et la transformation (changement de contexte) des modèles.La phase III valide les artefacts dans deux contextes : CHAIKMAT (une ligne de production flexible à l'échelle du laboratoire avec des modèles SysML/BPMN/AnyLogic) et EXCELAB (une ligne de production de formation Airbus avec des modèles de conception et de simulation multigranulaires). Nous exécutons des requêtes de questions de compétences sur des graphes analysés, démontrons la traduction et la transformation entre les outils, et appliquons le modèle de maturité aux évaluations initiales et post-intégration. Les résultats montrent une amélioration de la coopérabilité et de la couverture du cycle de vie, avec des gains indirects en termes de capacité et d'exhaustivité grâce à des règles réutilisables et indépendantes des outils.Globalement, la thèse fait progresser la pratique de la DT en (1) clarifiant les points d'arrêt des projets (discontinuité sémantique entre modèles hétérogènes et faible traçabilité du cycle de vie), (2) fournissant un modèle de maturité opérationnelle et (3) proposant un mécanisme basé sur une ontologie (SysDO/SMO + Semantic Hub) qui étend l'interopérabilité au-delà des adaptateurs par paires. Cette approche est validée dans les milieux universitaires et industriels et est généralisable à des écosystèmes de DT plus vastes.","url":"https://doi.org/10.70675/d78d5093z2bb8z40d1z8458zc402e7ea423c","authors":["Zhengyu Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T11:36:49Z","doi":"10.70675/d78d5093z2bb8z40d1z8458zc402e7ea423c","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.14488/enegep2024_tn_wpg_411_2014_47101","name":"METAVERSO INDUSTRIAL, DIGITAL TWIN, DIGITAL SHADOW OU DIGITAL MODEL. UMA ANÁLISE DE ESTUDOS DE CASOS","source":"crossref","abstract":"","url":"https://doi.org/10.14488/enegep2024_tn_wpg_411_2014_47101","authors":["PABLO BRARDA","NESTOR FABIAN AYALA","GLAUCO HENRIQUE DE SOUSA MENDES"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-07T15:20:59Z","doi":"10.14488/enegep2024_tn_wpg_411_2014_47101","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1049/dgt2.12016","name":"Modelling of blast furnace ironmaking process based on digital twin","source":"crossref","abstract":"Abstract The blast furnace ironmaking process is a crucial step in the steel industry. Effectively modelling the blast furnaces is significant in ensuring smooth operation and accelerating the digitalisation transformation of blast furnaces. The authors focus on the mechanism modelling of the blast furnace operation process, using a digital twin model development platform to simulate the main reaction processes inside the blast furnaces. Under on‐site production conditions, Si, Mn and Ti contents of molten iron and the corresponding indicators for model accuracy are calculated. For Si, Mn, and Ti content, the Root Mean Square Error values are 0.0678, 0.0108 and 0.0093 for dataset 1, while 0.0933, 0.0120 and 0.0111 for dataset 2, respectively, indicating that the model has a small simulation error and high accuracy. By comparing the simulation results with accurate laboratory results, the model is validated to have satisfactory simulation reliability and compensates for the existing shortcomings in the blast furnace mechanism modelling field.","url":"https://doi.org/10.1049/dgt2.12016","authors":["Yonghong Xu","Chunjie Yang","Zhe Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-29T00:23:57Z","doi":"10.1049/dgt2.12016","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5652650","name":"Green Digital Twin for Organizations as Enabler for Carbon Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5652650","authors":["Gerald Feichtinger","Daniel Mark","Daniel Schlar","Wolfgang Posch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-29T18:26:54Z","doi":"10.2139/ssrn.5652650","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2118/193203-ms","name":"Digital Twin Through the Life of a Field","source":"crossref","abstract":"Abstract The global energy industry is being radically transformed by increased access to data and digitalization of tools and processes. When data is harnessed effectively and then combined with engineering insight it has the ability to radically improve how energy assets are designed, operated and optimized from concept and front end design all the way through the life of the field to decommissioning. Aker Solutions has developed a data platform and series of software applications which together form a digital twin capable of optimizing energy operations at a product, facility and field level integrating subsea and topside facilities. The digital twin, conceived during the early concept phase (or retrofit to existing assets), draws together diverse data sources into an integrated format which can be managed and enriched as the asset progresses through its lifecycle. Software applications built on this platform include: Using knowledge-based and adaptable building blocks, our early phase software application accelerates the development of concepts with the ability to rapidly explore different options and adjust and optimize to different customer driven variablesDuring detailed design phase, software applications are used to drive engineering automation and ensure that safety is built inherently into the designSimulation software applications are used to test and evaluate complex installation operations in a virtual environment before any offshore operations take placeDigital twin can add significant value during operations and maintenance activities with performance and integrity data collated and visualized helping to make informed decisions to ensure production optimization and continuityAt a product level, Aker Solutions’ connected subsea equipment uses software applications and analytics to perform condition monitoring and enable predictive maintenance, maximizing production uptime This digital thread allows data to seamlessly transition across asset phases enabling engineers, operators and asset managers to make informed and confident data-driven decisions; increasing efficiency, reducing cost and reducing risk.","url":"https://doi.org/10.2118/193203-ms","authors":["Are Føllesdal Tjønn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-11-10T07:25:48Z","doi":"10.2118/193203-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1142/14627","name":"Digital Twin Communication Technologies in Transportation Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1142/14627","authors":["Guanghui Zhao","Yu Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-25T05:40:37Z","doi":"10.1142/14627","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6672878","name":"A Digital Twin and Procedural-DAO Architecture for EUDR-Specific Deforestation Monitoring under Evolving Regulatory Requirements","source":"crossref","abstract":"The EU Deforestation Regulation (EUDR), Regulation (EU) 2023/1115, requires operators and traders placing cattle, cocoa, coffee, palm oil, soya, wood, rubber, charcoal and their derived products on the EU market to demonstrate that the underlying commodities are deforestation-free after 31 December 2020, are legally produced, and are covered by a due diligence statement. While deforestation detection is often treated as the technically dominant requirement, EUDR compliance is broader: it also requires traceability across supply chains, provenance of production, country-specific legal context, and auditable due diligence processes. Translating these obligations into an inspectable, reproducible, software-supported workflow raises three coupled problems: (i) the regulation itself is a moving artefact whose definitions, country risk classifications and implementing acts evolve; (ii) the geospatial evidence used to satisfy Article 3(a) depends on upstream datasets-primarily the Hansen Global Forest Change product-whose versions, tile schemes and methodological conventions also change; and (iii) the resulting compliance interpretations cannot be ethically delegated to a fully autonomous agent because they affect market access, livelihoods and the legal exposure of operators. This paper describes an architecture that addresses these problems jointly through a closed feedback loop linking regulation, data dependencies, implementation, validation, and governance. We separate authoritative deterministic generation of evidence from a public, non-authoritative Digital Twin portal that exposes system state, dependencies, and example outputs for inspection. A procedural Decentralized Autonomous Organization (DAO)implemented in this work as a file-grounded YAML proposal workflow, but compatible with optional blockchain anchoring of evidence digests and proposal records-closes the governance loop between stakeholders, developers, and evolving regulatory interpretation. The procedural design is deliberate: as we discuss below, the kind of DAO appropriate for governing truth claims about the physical world differs in object, voting subject and failure mode from the protocol-governance DAOs commonly associated with the term, and the choice to run the governance layer off-chain reflects that difference rather than a rejection of distributed-ledger technology as such. An LLM-based Digital Twin Engineer (DTE) agent supports inspection and proposal drafting under strict grounding rules, but never executes code or makes compliance determinations. We describe the multi-repository implementation, the deterministic evidence bundle contract, the public/private trust-zone separation that protects per-operator plot data while allowing example reports to be inspected publicly, and the regulation-as-dependency feedback loop that forces reruns of impacted methods when upstream artefacts change. Although the current implementation focuses primarily on geospatial deforestation evidence, the proposed pipeline is intended as a practical starting point for progressive enrichment as new forms of land intelligence, supply-chain transparency, legal provenance data, and business-network evidence become available. We argue that this design is a generalisable pattern for compliance domains in which regulatory requirements evolve over time and implementations must remain inspectable, reproducible, extensible, and corrigible by humans.","url":"https://doi.org/10.2139/ssrn.6672878","authors":["Jüri Sildam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T07:23:58Z","doi":"10.2139/ssrn.6672878","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.20944/preprints202101.0223.v1","name":"Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin","source":"crossref","abstract":"Li-ion battery packs are the heart of modern electric vehicles. Due to their perishable nature, it is crucial to supervise them closely. In addition to on-board supervision over safety and range, insights into the battery’s degradation are also becoming increasingly important, not only for the vehicle manufacturers but also for vehicle users. The concept of digital twins has already emerged on the field of automotive technology, and can also help to digitalize the vehicle’s battery. In this work, we set up a data pipeline and digital battery twin to track the battery state, including state of charge (SOC), state of health (Capacity) (SOHc ) and state of health (Resistance) (SOHr ). To achieve this goal, we reverse-engineer the diagnostics interface of a 2014 e-Golf to query for Unified Diagnostic Services (UDS) messages containing both battery pack and cell-individual data. An on-board diagnosis (OBD) logger records the data with edge-processing capability. Pushing this data into the cloud twin system using IoT-technology, we can fit battery models to the data and infer cell individual internal resistance from them. We find that the resistances of the cells differ by a magnitude of two. Furthermore, we propose an architecture for the battery twin in which the twin fleet shares resources like models by encapsulating them in Docker containers run on a cloud stack. By using web technology, we present the analyzed results on a web interface.","url":"https://doi.org/10.20944/preprints202101.0223.v1","authors":["Lukas Merkle","Michael Pöthig","Florian Schmid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-01-13T09:22:02Z","doi":"10.20944/preprints202101.0223.v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/acdsa67686.2026.11467763","name":"Cloud-Native Digital Twin Architectures for Smart Cities: A Systematic Literature Review and Research Agenda","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acdsa67686.2026.11467763","authors":["S. M. Anowar Uddin","Aloysius A. Edoh Jnr"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T19:50:24Z","doi":"10.1109/acdsa67686.2026.11467763","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/iciss59129.2023.10291219","name":"A Systematic Literature Review of Recent Trends and Challenges in Digital Twin Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciss59129.2023.10291219","authors":["Ikrar Adinata Arin","Meyliana","Harco Leslie Hendric Spits Warnars","Dina Fitria Murad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-27T17:48:58Z","doi":"10.1109/iciss59129.2023.10291219","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/wsc57314.2022.10015424","name":"Optimizing Digital Twin Synchronization in a Finite Horizon","source":"openalex","abstract":"Given the tendency to increase the complexity of digital twins to capture a manufacturing system in the most detailed way, synchronizing and using a complex digital twin with the real-time data may require significant resources. We define the optimal synchronization problem to operate the digital twins in the most effective way by balancing the trade-off between improving the accuracy of the simulation prediction and using more resources. We formulate and solve the optimal synchronization problem for a special case. We analyze the characteristics of the state-dependent and state-independent optimal policies that indicate when to synchronize the simulation at each decision epoch. Our numerical experiments show that the number of synchronizations decreases with the synchronization cost and with the system variability. Furthermore, a lower average number of synchronizations can be achieved by using a state-dependent policy.","url":"https://doi.org/10.1109/wsc57314.2022.10015424","authors":["Baris Tan","Andrea Matta","Barış Tan","Andréa Matta"],"tags":["Synchronizing","Synchronization (alternating current)","Computer science","State (computer science)","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-11","doi":"10.1109/wsc57314.2022.10015424","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.12681/eadd/58172","name":"Α methodological framework for digital-twin driven cognitive manufacturing in the context of connected and agile value networks","source":"crossref","abstract":"Η ευελιξία και η ανθεκτικότητα της αλυσίδας αξίας είναι βασικοί παράγοντες επιτυχίας των εταιρειών παραγωγής στην προσπάθειά τους να ανταποκριθούν στις διάφορες δυναμικές αλλαγές. Η κυκλική οικονομία, η ανάγκη για βελτιστοποιημένες ροές υλικών, ad-hoc απαιτήσεις, γρήγορη ανταπόκριση και εξατομίκευση, είναι μερικές από τις τάσεις που απαιτούν από τις αλυσίδες αξίας παραγωγής να γίνουν «έξυπνες», δηλαδή να μπορούν να προβλέψουν τις τάσεις και να είναι αρκετά ευέλικτες σε δυναμικά περιβάλλοντα, διασφαλίζοντας παράλληλα την βέλτιστη απόδοσή τους. Οι Ψηφιακοί Δίδυμοι (Digital Twins-DT) είναι μια πολλά υποσχόμενη τεχνολογία με αρκετές εφαρμογές στο επίπεδο μιας παραγωγής και εντός των ορίων μιας εταιρείας. Επιπλέον, ο όρος «Γνωσιακοί Ψηφιακοί Δίδυμοι» (ΓΨΔ) (Cognitive Digital Twins–CDT) δημιουργεί ένα νέο ερευνητικό πεδίο, καθώς ενσωματώνει τις γνωσιακές δυνατότητες ενός ψηφιακού δίδυμου μέσω των λειτουργιών της ανάλυσης και της τεχνητής νοημοσύνης. Ωστόσο, όταν πρόκειται για την υιοθέτηση ΓΨΔ στις αλυσίδες αξίας παραγωγής, από ερευνητικής πλευράς, δεν υπάρχει ένα σαφές πλαίσιο στο πώς μπορούμε να μοντελοποιήσουμε ένα ΓΨΔ, ποιες είναι βασικές δυνατότητες/λειτουργίες του και πώς διασφαλίζεται η εμπιστοσύνη μεταξύ των μερών της αλυσίδας παράλληλα με τις ορθές πρακτικές λειτουργίας. Επιπλέον, στην εποχή των διασυνδεδεμένων αλυσίδων αξίας, πρέπει να ορίσουμε ένα γενικό πλαίσιο παραμετροποίησης για κάθε λύση τεχνολογίας πληροφορικής που θα ανταποκρίνεται στις απαιτήσεις διαφορετικών τομέων. Η παρούσα διατριβή ασχολείται με αυτές τις διαπιστώσεις, μέσω της εκτενής ανάλυσης των παρακάτω ερευνητικών πεδίων: • Ένα μεθοδολογικό πλαίσιο αναφοράς για τη μοντελοποίηση των ΓΨΔ αλυσίδας αξίας παραγωγής ως ένα δίκτυο διασυνδεδεμένων ΓΨΔ, το καθένα από τα οποία, αντιπροσωπεύει τους εμπλεκόμενους φορείς και τα υλικά/προϊόντα που μεταφέρονται κατά μήκος της αλυσίδας αξίας. • Ένα πλαίσιο αναφοράς διακυβέρνησης για τους ΓΨΔ της αλυσίδας αξίας που ενσωματώνει: α) την επιχειρηματική λειτουργία και βιωσιμότητα, β) την διακυβέρνηση των δεδομένων και γ) την διακυβέρνηση των εφαρμοσμένων μοντέλων τεχνητής νοημοσύνης και γνωσιακής συμπεριφοράς. • Μία αρχιτεκτονική αναφοράς για πληροφοριακά συστήματα, η οποία παρέχει κύριες λειτουργίες και σενάρια χρήσης για τη λειτουργία των ΓΨΔ μιας αλυσίδας αξίας.","url":"https://doi.org/10.12681/eadd/58172","authors":["Κωνσταντίνος Καλαμπούκας"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-17T09:22:08Z","doi":"10.12681/eadd/58172","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1108/cr-08-2023-0207","name":"The role of foreign MNEs in China’s twin transition: a study on the organization of green and digital innovation processes","source":"crossref","abstract":"Purpose The purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems. Design/methodology/approach A qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis. Findings The findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes. Originality/value This paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author’s knowledge, this is one of the first twin transition studies from this perspective in emerging economies.","url":"https://doi.org/10.1108/cr-08-2023-0207","authors":["Chris Brueck"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-12T22:51:31Z","doi":"10.1108/cr-08-2023-0207","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/j.tre.2021.102412","name":"Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tre.2021.102412","authors":["Diana Burgos","Dmitry Ivanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-30T03:02:28Z","doi":"10.1016/j.tre.2021.102412","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4043/35081-ms","name":"A Trustworthy Digital Twin for Data Driven Verification","source":"crossref","abstract":"Abstract Traditionally, verification of equipment and systems has been carried out by deploying surveyors to perform physical verifications. Today, the development of digital twins, representing physical assets, provides the possibility to leverage data to enhance and replace the conventional verification and validation efforts undertaken by industry stakeholders. Digitalization, new technologies, algorithms, and artificial intelligence (AI), incorporated in digital twins, can be used to execute effective verifications. When such digital twins have proven to provide genuine and trustworthy evidence, the evidence can be used in assessments towards specified acceptance criteria, and issue, maintain, and renew certificates. Some parts of the assessment itself may even become automated through the use of algorithms and AI solutions, further increasing the importance of the rigor and intensity with which these digital twins must be qualified and assured. This paper is developed in order to support the development of trustworthy digital twins for data-driven-verification (DDV) systems and methods. Use of digital twins should be acceptable as long as they provide the same, or higher, level of assurance as the traditional methods. DDV also aims at reducing non-productive time, costs associated with surveyors attending the physical asset, redundant verification activities, and the knowledge sharing, and transfer burden imposed upon the asset organization.","url":"https://doi.org/10.4043/35081-ms","authors":["O. H. Hansen","J. Stang","V. Jaiswal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-30T02:20:15Z","doi":"10.4043/35081-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/978-981-99-0252-1","name":"Digital Twin Driven Intelligent Systems and Emerging Metaverse","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36227/techrxiv.170714350.01944040/v1","name":"Digital Twin-Based Forecasting Framework for Power Transmission Management","source":"crossref","abstract":"Detailed design requirements and foundational assumptions for forecasting digital twins in the context of power systems are explored and used in real-time forecasting in this study. Experimental validation of the forecasting methodology is demonstrated via an electro-thermal digital twin of power distribution cables for onboard power systems. The digital twin has the capability to forecast the thermal profile of cables by utilizing sensor measurements from the physical twin. When the predicted temperature reaches specific thresholds, the digital twin informs a decision maker to proactively adjust the power flow within the system to prepare for and avoid upcoming thermal constraints in the cable. This adjustment ensures that the physical cable does not reach specific thermal constraints, thereby enhancing system reliability. This proactive management will be essential to ensuring mission-critical power demand and avoiding load shedding. The concept has been experimentally verified using a three-bus configuration. The developed digital twin is computationally efficient, forecasting only when necessary, and offering an adjustable forecasting time-frame to accommodate a variety of operational scenarios.","url":"https://doi.org/10.36227/techrxiv.170714350.01944040/v1","authors":["Kerry Sado","Jarrett Peskar","Austin Downey","Jamil Khan","Kristen Booth"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-05T09:31:46Z","doi":"10.36227/techrxiv.170714350.01944040/v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5220/0013364400003944","name":"A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013364400003944","authors":["Nicolò Bertozzi","Anna Geraci","Letizia Bergamasco","Enrico Ferrera","Edoardo Pristeri","Claudio Pastrone"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-10T17:17:31Z","doi":"10.5220/0013364400003944","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5009737","name":"An ISO 23247 Intelligent Digital Twin Framework for Continuous Flow Process","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5009737","authors":["Nur Aliya Nasruddin","Nazrul Islam","John Oyekan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-05T17:30:56Z","doi":"10.2139/ssrn.5009737","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36334/modsim.2023.urich","name":"An IoT digital twin to create Sydney�s coolest park","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim.2023.urich","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-08T02:35:28Z","doi":"10.36334/modsim.2023.urich","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acsaenm.6c00616.s002","name":"Modular Multi-Scale Digital Twin Framework for Sustainable Design of Hybrid Air-Purifying Facepiece","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsaenm.6c00616.s002","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-09T11:20:37Z","doi":"10.1021/acsaenm.6c00616.s002","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4960747","name":"Customisation vs. Ultimate Customer Transparency: Experimental Indications for a Digital Customer Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4960747","authors":["Dominik Oehlschläger","Andreas Glas","Michael Eßig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T20:18:26Z","doi":"10.2139/ssrn.4960747","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.3958564","name":"Leveraging AI To Create A Digital Twin Of The Constitution","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.3958564","authors":["Lance Eliot"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-18T09:33:34Z","doi":"10.2139/ssrn.3958564","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4472608","name":"A Tyre-Rim Interaction Digital Twin for Biaxial Loading Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4472608","authors":["Simone Venturini","Elvio Bonisoli","Carlo Rosso","Mauro Velardocchia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-07T16:19:58Z","doi":"10.2139/ssrn.4472608","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/engproc2025104070","name":"Obtaining a Digital Twin of Systems via Approximation with DNN and Kautz Functions","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2025104070","authors":["Georgi Mihalev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-03T08:04:14Z","doi":"10.3390/engproc2025104070","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.64643/ijirtv12i11-197496-459","name":"Live Digital Twin for Shop Floor Management","source":"crossref","abstract":"","url":"https://doi.org/10.64643/ijirtv12i11-197496-459","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T12:23:51Z","doi":"10.64643/ijirtv12i11-197496-459","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1117/12.3033317","name":"Vehicle digital dashboard design and simulation system based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3033317","authors":["Yimei Xu","Pengju He","Hongfei Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T16:38:36Z","doi":"10.1117/12.3033317","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5605882","name":"A Digital Twin Architecture for the Provisioning of Heterogeneous IoT Devices","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5605882","authors":["Jean-Marc Maree","Anton Basson","Karel Kruger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-14T23:40:33Z","doi":"10.2139/ssrn.5605882","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1039/d5ta08324a/v1/review1","name":"Review for \"The Thermal Transport in Twin Superlattice: From Phonon Coherence Phenomenon to Anomalous Excitation of High-Energy Phonons at Twin Boundaries\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d5ta08324a/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T21:07:13Z","doi":"10.1039/d5ta08324a/v1/review1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.53591/easi.v2i1.2176","name":"Industry 4.0: An innovative manufacturing process on a Digital Twin  Application","source":"crossref","abstract":"The fourth industrial revolution requires the process equipment to work together through the strategy of cyber-physical systems. This project aims to contribute to this revolution by presenting a tool and methodology for creating cyber-physical systems. A V-model was used for the design process, in which the digital twin of a 3PRS+XY+C machine tool was developed. It started by defining the requirements, the basis for creating the logical-functional structure. This structure was the guide for completing the behavioural models of each element, the cascade control, and the 3D design of the machine. The simulation was carried out with the digital twin ready to verify the correct operation. A position and speed test were performed with step start and a second order signal showing proper control and compliance with the setpoint. The tests performed show that the strategy used allowed the realisation of the digital twin that conforms to the cyber-physical system of the machine. Also, due to the design mode, the model is highly flexible, and its modular structure facilitates the changes. It is the right time to apply this strategy in the Ecuadorian industry and thus reduce the technological gap and increase international competitiveness.","url":"https://doi.org/10.53591/easi.v2i1.2176","authors":["Marcelo Fajardo-Pruna","Luis Lopez-Estrada","Daniela Sanchez-Orosco","Christian Tutiven","Giovanny Pillajo-Quijia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-02T21:29:32Z","doi":"10.53591/easi.v2i1.2176","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5194/egusphere-egu24-22348","name":"A Digital Twin for Energy Consumption Prediction and Thermal Comfort Monitoring in Residential Buildings","source":"crossref","abstract":"The residential buildings are responsible for approximately one-quarter of the world&amp;#8217;s energy consumption and they play an important role in mitigating global climate change [1]. To improve energy efficiency and reduce carbon emissions in the residential building sector, it is necessary to predict the energy consumption and thermal comfort under urban climate change. Nowadays, a large number of IoT sensors, smart devices, and controllers are employed in residential buildings to collect data in a real time and seamless way [2]. Emerging digital technologies such as digital twins and artificial intelligence (AI) have proven to be a powerful tool to provide dynamic, reliable, robust, and agile models for predicting and monitoring the energy consumption and air pollutant emission levels in industrial sectors. However, digital twins have received very little attention in the residential building sector [3]. The main aim of this study is to design and prototype a digital twin system for thermal comfort monitoring, visualization, tracking, energy management, prediction, and optimization in residential buildings under different indoor and outdoor conditions. Our digital twin model is built on the basis of a thermodynamic model incorporating building attributes such as heating methods, wall materials, etc. with real-time sensor and IoT information updates to deliver precise predictive foresight and also determine the different indoor and outdoor factors contributing the most to residential heating energy consumption and thermal comfort. The digital twin model will be tested on a dataset containing sensor data, building attribute features, and weather records during five heating seasons of residential buildings in a city in Russia that was published for the first time in 2020 by IEEE DataPort [4].References[1] United Nations Environment Programme (2020), The 2020 global status report for building and construction: Towards a zero-emission, efficient and resilient buildings and construction sector. https://globalabc.org/sites/default/files/inline-files/2020%20Buildings%20GSR_FULL%20REPORT.pdf.[2] Dinmohammadi, F., Wilson, D. Understanding the End-Users and Technical Requirements for Real-Time Streaming Data Analytics and Visualisation, In: 26th International Conference on Automation and Computing (ICAC), 02-04 September 2021, Portsmouth, UK.[3] Dinmohammadi, F., Han, Y., Shafiee, M. Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms, Energies 16 (9), 3748.[4] Zorin, P.; Stukach, O. Data of Heating Meters from Residential Buildings in Tomsk (Russia) for Statistical Modeling of Thermal Characteristics of Buildings. Published on 5 October 2020. Available online: https://ieee-dataport.org/documents/data-heating-meters-residential-buildings-tomsk-russia-statistical-modeling-thermal.","url":"https://doi.org/10.5194/egusphere-egu24-22348","authors":["Fateme Dinmohammadi","Mahmood Shafiee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-11T10:48:41Z","doi":"10.5194/egusphere-egu24-22348","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.7327843","name":"Utility Maximization Oriented Joint Decision Making of Digital Twin Assisted NOMA-UAV Edge Computing","source":"crossref","abstract":"With the evolution of sixth-generation (6G) mobile networks, industrial internet of things (IIoT) devices often suffer from limited computational resources. Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks have emerged as a promising solution. This paper proposes dynamic digital twin (DT)-assisted non-orthogonal multiple access (NOMA)-enabled UAV–MEC air–ground edge network (D2T-NUAN), a novel architecture that integrates dynamic DT technology with NOMA-enabled UAV-assisted MEC to enhance edge computing performance. In the presence of ground interference (GI), we jointly optimize the UAV hovering position, the terminal offloading ratio, and the edge-side computing resource allocation. The objective is to maximize the UAV utility, which balances revenue and energy consumption, while satisfying the task latency constraints. Due to the strong coupling among decision variables, the mixed-decision problem is formulated as a markov decision process (MDP) and solved via a generalized advantage estimation-enhanced proximal policy optimization (GAE-PPO) algorithm, which improves policy gradient stability and sample efficiency. Simulation results demonstrate that the PPO-based method outperforms several baseline approaches across multiple performance metrics.","url":"https://doi.org/10.2139/ssrn.7327843","authors":["Weidong Guo","Jianhang Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T15:39:12Z","doi":"10.2139/ssrn.7327843","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5194/egusphere-egu25-16787","name":"Digital twin developments in &amp;#160;DTC Hydrology Next: reservoirs and flooding","source":"crossref","abstract":"Climate change is affecting the global water, energy and carbon cycle resulting in more severe hydrometeorological events with more societal impact (e.g. precipitation, floods, droughts). Decision support systems for operational or planning purposes are essential to accurately predict and monitor environmental disasters, and optimally manage water and environmental resources now and in the future. The Digital Twin Component (DTC) Hydrology Next project focuses on solutions for monitoring and simulations and forecasting, it requires high-resolution (1 km, 1 hour-day) satellite Earth Observation (EO) data, fully integrated with advanced and spatially distributed modelling systems. Within this scope, &amp;#160;we aim to improve operational reservoir monitoring to obtain reliable estimates &amp;#160;of surface area, water level and volume (i.e. storage). Secondly, we aim to enhance predictions by data assimilation using wflow_sbm (Imhoff et al., 2020, Eilander et al., 2021, van Verseveld et al., 2024, Imhoff et al., 2024). The focus will be on the Rhine catchment focusing on flooding in co-creation with RWS (Dutch ministry of traffic and waterways) and Zambia focusing on reservoir monitoring and flood management working together with WARMA (Water Resources Management Authority). We also consider including &amp;#160;2D hydraulic flood simulations using SFINCS (Leijnse et al., 2021) driven by outputs from wflow_sbm.&amp;#160;Eilander, D., van Verseveld, W., Yamazaki, D., Weerts, A., Winsemius, H. C., and Ward, P. J. (2021) A hydrography upscaling method for scale invariant parametrization of distributed hydrological models, Hydrol. Earth Syst. Sci., 25, 5287&amp;#8211;5313, https://doi.org/10.5194/hess-25-5287-2021.Imhoff, R. O., van Verseveld, W. J., Osnabrugge, B., and Weerts, A. H. (2020) Scaling Point-Scale (Pedo)transfer Functions to Seamless LargeDomain Parameter Estimates for High-Resolution Distributed Hydrologic Modeling: An Example for the Rhine River, Water Resour. Res., 56, https://doi.org/10.1029/2019WR026807.Imhoff, Ruben and Buitink, Joost and van Verseveld, Willem and Weerts, Albrecht, A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm. Environmental Modelling &amp;amp; Software,179,https://doi.org/10.1016/j.envsoft.2024.106099, 2024Leijnse, T. W. B. et al. (2021). Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes. Coastal Engineering, 163, Article 103796. https://doi.org/10.1016/j.coastaleng.2020.103796van Verseveld, W. J., Weerts, A. H., Visser, M., Buitink, J., Imhoff, R. O., Boisgontier, H., Bouaziz, L., Eilander, D., Hegnauer, M., ten Velden, C., and Russell, B.: Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications, Geosci. Model Dev., 17, 3199&amp;#8211;3234, https://doi.org/10.5194/gmd-17-3199-2024, 2024.&amp;#160;&amp;#160;&amp;#160;&amp;#160;&amp;#160;&amp;#160;&amp;#160;","url":"https://doi.org/10.5194/egusphere-egu25-16787","authors":["Albrecht Weerts","Arjen Haag","Athanasios Tsiokanos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T04:22:26Z","doi":"10.5194/egusphere-egu25-16787","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/wsc68292.2025.11338915","name":"Towards a Devs-Based Simulation Engine for Digital Twin Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11338915","authors":["Arnis Lektauers"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11338915","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00359","name":"Digital Twin Enabled Dual-System Reinforcement Learning Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00359","authors":["Haiqin Xie","Sheng Tan","Fengqi Ling","Jialin Wu","Liang He","Xin Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-27T17:27:38Z","doi":"10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00359","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4018/978-1-6684-9848-4.ch002","name":"A Digital Twin Approach for Selection and Deployment of Decarbonization Solutions for the Maritime Sector","source":"crossref","abstract":"Shipping decarbonisation is a challenge that can only be tackled by a holistic approach that combines advancements in technology, optimisation of the ship design, taking into account also the decarbonisation solutions, operational strategies, whilst considering economic incentives and policies. Although several technological innovations in different ship areas (hull, propulsion, fuel, and others) are contributing towards decarbonisation, and operational strategies such as slow steaming, have been proposed, in practice, selecting the most effective ones for a specific ship and timeframe represents a multifaceted problem which slows down progress. This chapter's main focus is on how digital twining (DT) can support the selection of decarbonisation technologies and operational strategies in designing decarbonisation solutions in a rolling time-horizon to meet regulations with the goal of achieving green shipping (zero-emission shipping) by 2050. For this a DT-centric design methodology is described offering shipping companies continuous decision support to manage the decarbonisation transition, utilising a multi-objective optimisation approach that balances the conflicting goals of minimising investment, maximising profitability, and reducing emissions in line with regulations. Both solutions for retrofitting existing ships and new buildings are considered. Furthermore, the chapter illustrates the application of DTs to specific use cases, namely energy production, distribution, and recovery onboard process management with the help of a simulator, and hull performance prediction utilising simulation.","url":"https://doi.org/10.4018/978-1-6684-9848-4.ch002","authors":["Anargyros Spyridon Mavrakos","Theodosis Tsaousis","Nicolo Faggioni","Alessandro Caviglia","Eros Manzo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:42:25Z","doi":"10.4018/978-1-6684-9848-4.ch002","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5194/egusphere-egu23-11885","name":"The Digital Twin, a tool for dynamic planning of an urban resilience","source":"crossref","abstract":"In an era where the resilient planning of cities is mainly done by a multitude of digital tools for thinking, predicting, building, and observing, the data used remains globally in a static condition[1], however the city and its environment are in a perpetual state of change and must include dynamic data for being as close to reality as possible[2].Coming from the industrial world, the emerging concept of the \"Digital Twin\" (DT) is positioned as a tool linking the 3D digital model and the implementation of continuous and dynamic information (from sensors among others), allowing to introduce the notion of piloting and maintenance of doubled physical objects[3]. Applied at different scales and functions the \"DT\" becomes a unique database allowing both the simulation of different climate risk scenarios and the real-time assessment of the existing environment[4].Based on the existing literature[5] and on experimental projects such as European or National \"DT\" projects designed for resilient planning such as LEAD, DUET or DIAMS[6], this communication will first focus on the analysis of different dynamic and static environmental indicators used (definitions and management of the data). In a second step, we will concentrate on the different actors of these \"DT\" by questioning their expectations and needs (visualizations and simulations of the different impacts due to climate change as well as the maintenance of real subjects). But also by analyzing their processes of use to understand the advantages and the limits noticed during their experimentations. Finally, we will ask ourselves how this tool could evolve thanks to the feedback from these tests.The aim is to evaluate the role that the \"DT\" can have on the dynamic and resilient planning of territories and conversely the impacts of programming on the use of this tool.&amp;#160;Keywords: Digital Twin, dynamic planning, urban resiliency R&amp;#233;f&amp;#233;rences&amp;#160;: [1] Ramalho, Cristina E., et Richard J. Hobbs. &amp;#8220;Time for a Change: Dynamic Urban Ecology&amp;#8221; Trends in Ecology &amp; Evolution 27, no 3 (2012): 179&amp;#8209;88. https://doi.org/10.1016/j.tree.2011.10.008. [2] Chunyang He et al., &amp;#8220;Alternative Future Analysis for Assessing the Potential Impact of Climate Change on Urban Landscape Dynamics&amp;#160;&amp;#8221;, Science of The Total Environment 532 (1 novembre 2015): 48&amp;#8209;60, https://doi.org/10.1016/j.scitotenv.2015.05.103. [3] A. Fuller, Z. Fan, C. Day and C. Barlow, \"Digital Twin: Enabling Technologies, Challenges and Open Research,\" in IEEE Access, vol. 8, pp. 108952-108971, (2020), doi: 10.1109/ACCESS.2020.2998358. [4] Guillaud, M., &amp; Ch&amp;#233;reau, M. (2022). \"3. Des outils techniques accessibles et des donn&amp;#233;es ouvertes \". In Inventer les villes durables (p. 119&amp;#8209;133). Dunod. https://www.cairn.info/inventer-les-villes-durables--9782100834204-p-119.htm [5] Shahat, Ehab, Chang T. Hyun, et Chunho Yeom. &amp;#171;&amp;#160;City Digital Twin Potentials: A Review and Research Agenda&amp;#160;&amp;#187;. Sustainability 13, no 6 (janvier 2021): 3386. https://doi.org/10.3390/su13063386. [6] &amp;#160;&amp;#160; Objectives Lead Project. (2023). https://www.leadproject.eu/objectives/ &amp;#160;About digital urban european twins. (s.&amp;#160;d.). DUET. https://www.digitalurbantwins.com/digitaltwindemo &amp;#160;Planification urbaine pour les collectivit&amp;#233;s pilotes DIAMS. (s.&amp;#160;d.). https://www.airdiams.eu/planification-urbaine-pour-les-collectivites-pilotes","url":"https://doi.org/10.5194/egusphere-egu23-11885","authors":["Fanny Josse","Katia Laffrechine","Jeffrey Raven"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-26T02:28:33Z","doi":"10.5194/egusphere-egu23-11885","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/icei64305.2024.10912412","name":"Digital Twin-based Flight Dynamics Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icei64305.2024.10912412","authors":["Geetam Talluri","Anand Konjengbam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-12T17:38:06Z","doi":"10.1109/icei64305.2024.10912412","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4919299","name":"Urban Digital Twin for Assessing and Understanding Urban Heat Island Impacts","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4919299","authors":["Lidia Vitanova","Dessislava Petrova-Antonova","Evgeny Shirinyan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-07T19:27:05Z","doi":"10.2139/ssrn.4919299","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1039/d5ta08324a/v1/review2","name":"Review for \"The Thermal Transport in Twin Superlattice: From Phonon Coherence Phenomenon to Anomalous Excitation of High-Energy Phonons at Twin Boundaries\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d5ta08324a/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T21:07:13Z","doi":"10.1039/d5ta08324a/v1/review2","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00011-7","name":"Internet of Things for e-health","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00011-7","authors":["Himanshu Verma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:43:53Z","doi":"10.1016/b978-0-443-30300-5.00011-7","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4258559","name":"Dynamic Scheduling of Multi-Memory Process Flexible Job Shop Problem Based on Digital Twin","source":"crossref","abstract":"Digital twin is one of the newly-emerged enabling technologies for achieving intelligent manufacturing. Based on the physical–digital convergence, digital twin provides manufacturing systems with a new model of collaboration between the workforce and industrial processes. With the charcirctiscs of real-time communication and data-driven enablers, the digital twin scheduling strategy requires close cooperation between workers, systems and processes. However, in the process of digitization and intelligentization, industry will need to face the challenge of supporting new technologies and worker skills development. To this end, the paper consiers workers’ multi-memory process (learning and forgetting) in the flexible job shop scheduling problem (MPFJSP). Meanwhile, the dynamic scheduling strategy of the digital twin-driven MPFJSP is proposed under machine breakdowns aiming at simultaneously minimzing the makespan, total carbon emissions, total production cost and product quality stability. A virtual workshop is adopted to simulate and optimize the dynamic scheduling scheme to realize intelligent workshop scheduling. Finanlly, a computational experiment is carried out to verify the effectiveness and advantages of the proposed intelligent scheduling strategy.","url":"https://doi.org/10.2139/ssrn.4258559","authors":["Zhi Li","Yingjian Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-28T20:00:37Z","doi":"10.2139/ssrn.4258559","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.64917/ircee.v13.i05.a05","name":"Synthesizing Generative Artificial Intelligence And Digital Twin Architectures: A Standardization-Aligned Framework For Cyber-Physical System Resilience","source":"crossref","abstract":"The rapid expansion of Industry 4.0 technologies has intensified the convergence of cyber-physical systems (CPS), digital twin architectures, artificial intelligence, and industrial automation platforms. Although digital twins have substantially improved predictive monitoring, adaptive manufacturing, and intelligent automation, current frameworks remain constrained by interoperability deficiencies, fragmented standardization approaches, and limited resilience against uncertain operational disruptions. Simultaneously, generative artificial intelligence (GenAI) introduces new opportunities for autonomous reasoning, synthetic data generation, intelligent optimization, and adaptive decision-making within CPS ecosystems. This paper develops a research-oriented and standardization-aligned framework integrating generative artificial intelligence with digital twin architectures to strengthen cyber-physical system resilience. The study synthesizes existing research on CPS modeling, digital twin technologies, fault-tolerant architectures, intelligent manufacturing systems, and formal verification methodologies. A comprehensive literature-driven methodology is proposed to establish an integrated conceptual architecture composed of sensing, data fusion, simulation, generative reasoning, adaptive control, resilience assessment, and standardization layers. The framework emphasizes interoperability, fault tolerance, semantic consistency, predictive adaptation, and lifecycle synchronization across industrial and healthcare-oriented CPS environments. Analytical findings demonstrate that generative AI-enhanced digital twins improve operational continuity, intelligent diagnostics, dynamic adaptation, and autonomous resilience management. The paper further examines implementation constraints involving explainability, computational overhead, standard harmonization, cybersecurity vulnerabilities, and data governance. The proposed model contributes to ongoing research by establishing a theoretically grounded and practically scalable framework suitable for resilient industrial automation, smart manufacturing, healthcare monitoring, and distributed intelligent systems.","url":"https://doi.org/10.64917/ircee.v13.i05.a05","authors":["Dr. Haruto Nakamura"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T13:48:48Z","doi":"10.64917/ircee.v13.i05.a05","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch003","name":"AI Applications and Digital Twin Technology Have the Ability to Completely Transform the Future","source":"crossref","abstract":"Digital twin (DT) has a growth revolution by increasing artificial intelligence (AI) techniques and relative technologies as the internet of things (IoT). They may be considered as the panacea for DT technology for various applications in the real world such as manufacturing, healthcare, and smart cities. The integration of DT and AI is a new avenue for open research in the upcoming days. However, for exploring the issues of developing digital twins, there are interesting in identifying challenges with standardization ensures future developments in this innovative theme. This chapter first presents the digital twins concept, challenges, and applications. Afterward, it discusses the incorporation of AI and DT for developing various IoT-based applications while exploring the challenges and opportunities in this innovative arena. Then, developing tools are presented for exploring the digital twins' system implementation. Further, a review of recent DT-based AI approaches is presented. Finally, a discussion of open research directions in this innovative theme is presented.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch003","authors":["Syed Ibad Ali","Geetanjali P. Kale","Mohammad Shahnawaz Shaikh","Sivaram Ponnusamy","Prithviraj Singh Chouhan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch003","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003732167-4","name":"Distillation Column Internals Operation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003732167-4","authors":["Ashwani Malhotra","Anil K. Saroha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T11:33:34Z","doi":"10.1201/9781003732167-4","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6443607","name":"Managing Port Congestion During Infrastructure Disruptions: A Digital Twin–Based Decision Framework for Maritime Transport Networks","source":"crossref","abstract":"Maritime ports handle more than 80% of global trade and play a critical role in international logistics networks. Despite their importance, port operations remain vulnerable to infrastructure disruptions such as access failures, capacity reductions, canal restrictions, and extreme weather events. When such disruptions occur, congestion can rapidly propagate across interconnected port systems, leading to vessel delays, operational inefficiencies, and broader supply chain disruptions. Current port management systems primarily emphasize real-time monitoring and operational efficiency under normal conditions, but they provide limited support for evaluating system-wide responses during infrastructure failures.,This paper proposes a digital twin–based decision framework for managing port congestion during infrastructure disruptions in maritime transport networks. The framework integrates operational port states, capacity constraints, and vessel routing alternatives within a simulation-driven environment that enables the evaluation of different response strategies. These strategies include controlled waiting, diversion to alternative ports, and coordinated rerouting across regional port networks.,Two representative disruption scenarios are examined: a sudden loss of port access caused by infrastructure failure and a prolonged capacity reduction in a strategic maritime chokepoint. Simulation experiments show that coordinated response strategies supported by the digital twin can significantly reduce peak congestion levels, shorten recovery time, and limit congestion spillovers to neighboring ports compared with reactive operational responses.,The results suggest that digital twin–based decision support can improve resilience and coordination in maritime transport systems. The proposed framework offers practical insights for port authorities, shipping lines, and policymakers seeking to enhance disruption response planning in complex port networks.","url":"https://doi.org/10.2139/ssrn.6443607","authors":["Manikandan Chandran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-19T21:54:29Z","doi":"10.2139/ssrn.6443607","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.21272/sec.5(3).126-133.2021","name":"Towards Organizational Development In Digital Organizational Twin","source":"crossref","abstract":"Sustained continuous monitoring and replication of organizational development in digital organizational twins is of particular importance for labour-intensive enterprises and also those in which reciprocal relations between social, corporate, normative and performative aspects assume the leading role. The main purpose of the research is the developing of a digital representation of organizational processes, which focuses on the performance, working activities, organizational issues, behaviour and interactions between of the organizational members. Consequently, the objectives of research include the monitoring of current research state, concept and design of a digital twin. The implementation of digital organizational twin should improve considering timely optimization of proactive and reactive organizational development measures in the company in relation to the core variables of the 7S model. The created digital twin should map the dynamics of organizational development, as well as concomitant and deviating processes. Systematization literary sources and approaches for the digital replication of organizational development issues indicates the lack of publications on research and diffuse distribution of scientific interest. The initial design of organizational development in the digital twin is based on four main objects and limited to a certain number of investigated parameters. This paper compare the conventional and digitalized organizational development process, explain the data flow in digital organizational twin, the design of organizational development in the digital organizational twin, provide an overview of the individual facets of organizational development, list the parameterization models and exemplarily illustrate the visualization of selected parameters. The results of the research can be useful for the expansion of the tension bridge between organisational development and technologies and the development of new potentials for the study of socio-technical effects in companies. This can be extended to include the other facets of business management and supplemented by the connection of other technological resources.","url":"https://doi.org/10.21272/sec.5(3).126-133.2021","authors":["Olena Skrynnyk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-16T05:58:40Z","doi":"10.21272/sec.5(3).126-133.2021","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36128/bd54q642","name":"Shaping Green Digital Rights in Vietnam: A Law-And-Economics Perspective on Data Governance and Digital Asset Regulation in the Context of the Twin Transition","source":"crossref","abstract":"This paper analyzes Vietnam’s current legal framework for data governance and digital asset regulation, while exploring the potential for the formation of “green digital rights,” a novel interdisciplinary concept at the intersection of environmental sustainability, digital innovation, and legal theories of property rights. Through a legal-economic lens, the study assesses how the recognition of digital assets can incentivize environmentally friendly business models and financial instruments. Empirical analysis, based on a detailed case study in Khanh Hoa province, reveals both opportunities and persistent legal gaps in high-tech marine aquaculture and smart urban development. The research findings indicate that while the recognition of data as a digital asset opens prospects for green finance, significant legal gaps persist in environmental data governance and the application of digital assets to sustainable development sectors. Policy recommendations derived from this analysis include enhancing regulatory clarity, implementing legal sandboxes to foster innovation, improving environmental data standards, and strengthening institutional capacity. This study not only provides actionable policy recommendations but also contributes to deepening the theory of sustainable digital governance and property rights in the context of the twin transition.","url":"https://doi.org/10.36128/bd54q642","authors":["Hoang Xuan Huy Dang","Thi Ha Trang Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-19T19:44:35Z","doi":"10.36128/bd54q642","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5772/intechopen.113060","name":"How Digital Twins Is Being Used in Industry 4.0","source":"crossref","abstract":"The impact of the 4th industrial revolution, or Industry 4.0, has generated innovations that help industrial automation, promoting the digitization of activities and processes that result in increased productivity, competitiveness, improved quality of products created, and increased capacity for companies to invoke through the use of technologies such as smart cities, energy, oil and gas, Internet of things, digital and auditory manufacturing, digital twins and systems integration, among the most diverse areas inserted in Industry 4.0. This chapter will present a summary of how the most diverse industry sectors such as smart cities, oil, gas sector, energy and other areas are applying digital twins as a tool to support the digitization of companies.","url":"https://doi.org/10.5772/intechopen.113060","authors":["Thiago Lopes da Silva","Urbano Chagas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-20T13:24:01Z","doi":"10.5772/intechopen.113060","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/buildings11040151","name":"Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment","source":"crossref","abstract":"Construction projects and cities account for over 50% of carbon emissions and energy consumption. Industry 4.0 and digital transformation may increase productivity and reduce energy consumption. A digital twin (DT) is a key enabler in implementing Industry 4.0 in the areas of construction and smart cities. It is an emerging technology that connects different objects by utilising the advanced Internet of Things (IoT). As a technology, it is in high demand in various industries, and its literature is growing exponentially. Previous digital modeling practices, the use of data acquisition tools, human–computer–machine interfaces, programmable cities, and infrastructure, as well as Building Information Modeling (BIM), have provided digital data for construction, monitoring, or controlling physical objects. However, a DT is supposed to offer much more than digital representation. Characteristics such as bi-directional data exchange and real-time self-management (e.g., self-awareness or self-optimisation) distinguish a DT from other information modeling systems. The need to develop and implement DT is rising because it could be a core technology in many industrial sectors post-COVID-19. This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems. It also intends to review the state of play in DT development and offer research directions for future investigation. It recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19. The discussion in this paper mainly focuses on the Smart City, Engineering and Construction (SCEC) sectors.","url":"https://doi.org/10.3390/buildings11040151","authors":["Samad M. E. Sepasgozar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-02T10:34:09Z","doi":"10.3390/buildings11040151","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5383579","name":"A Digital Twin Architecture for the Provisioning of Heterogeneous Iot Devices","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5383579","authors":["Jean-Marc Maree","Anton Basson","Karel Kruger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-07T23:38:31Z","doi":"10.2139/ssrn.5383579","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36227/techrxiv.173337202.20448900/v1","name":"Hybrid Artificial Intelligence and Digital Twin Approach for Predicting Signal Phasing and Timing Information","source":"crossref","abstract":"A framework combining data driven deep learning with domain-driven controller logic is introduced in this paper. This is done by encapsulating the controller logic into a digital twin that generates Signal Phasing and Timing (SPaT) information created by the controller given the controller logic and actuation data. The digital twin is designed as an extensible object-oriented program that can run provided the controller data. The controller data are used in two ways. First, it is used to initialize the digital twin by extracting the controller settings from the data either through explicitly mentioned variables in the data or implicit variables inferred from the data. Second, a deep learning multilayer perceptron (MLP) model is used with the data to estimate the actuations. Actuations are then fed to the controller digital twin for the digital twin to provide SPaT predictions. This approach is tested on a single intersection and provides a much better overall prediction performance than other approaches with perfect predictions 80 percent of the time and within 1 second of actual switch times 85 percent of the time. The mean absolute error and mean absolute percentage error in this approach are 0.67s and 7.61 percent respectively, resulting in a more than 58 percent reduction in the prediction error compared to other models presented in the literature.","url":"https://doi.org/10.36227/techrxiv.173337202.20448900/v1","authors":["Seifeldeen Eteifa","Hesham A Rakha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-04T23:13:46Z","doi":"10.36227/techrxiv.173337202.20448900/v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.20944/preprints202305.1693.v1","name":"Blockchain-Enabled Quality Improvement Digital Twin for Clinical Trials","source":"crossref","abstract":"Clinical trials are research studies performed on people that are aimed at evaluating a medical, surgical, or behavioural intervention. It is a primary way that researchers find out if a new treatment, like a new drug or diet, or medical device is safe and effective in people. In this paper blockchain technology is embedded in a digital twin aiming to improve the quality of clinical trials through the boost of data integrity among the quality-related activities, and to promote participants&amp;#039; safety. First, a blockchain-embedded quality-enabled digital twin is proposed and the interactions among the enablers and peers are highlighted. Then, a prototype of the proposed system is developed, and the data of a pilot trial is used to justify the applicability of the system. The results showed that the proposed system is efficient, and hence it is feasible to adopt into a clinical trial. With the successful development of the proposed system, it is promising to provide effective data integration and knowledge management for improving participant safety.","url":"https://doi.org/10.20944/preprints202305.1693.v1","authors":["Reza Vatankhah Barenji","Reza Wbrahimi Hariry"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-25T00:38:30Z","doi":"10.20944/preprints202305.1693.v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acsaenm.6c00616.s003","name":"Modular Multi-Scale Digital Twin Framework for Sustainable Design of Hybrid Air-Purifying Facepiece","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsaenm.6c00616.s003","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-09T11:20:37Z","doi":"10.1021/acsaenm.6c00616.s003","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5220/0014618200004852","name":"A Comprehensive Overview of Supply Chain Management and Digital Twin Technology : A Case Study Approach","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014618200004852","authors":["Shantilal Patel","Nivrutti Wadode","Rajesh Buktar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-30T19:40:10Z","doi":"10.5220/0014618200004852","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1039/d5ta08324a/v2/review1","name":"Review for \"The Thermal Transport in Twin Superlattice: From Phonon Coherence Phenomenon to Anomalous Excitation of High-Energy Phonons at Twin Boundaries\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d5ta08324a/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-20T21:07:13Z","doi":"10.1039/d5ta08324a/v2/review1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1115/msec2022-85085","name":"Digital Twin Platforms: Architectures and Functions","source":"crossref","abstract":"Abstract In the Industry 4.0 era, many emerging technologies are being embraced by manufacturers, including Digital Twin (DT) technology. DT has been known as a critical enabler for smart manufacturing and has attracted much attention from academia and industry. Meanwhile, the demand for DT platforms is growing as they enable more effective and easy development and deployment for DTs. DT expands to different industrial scenarios, which has led to an increasing variety of DT platforms. However, there are many different understandings and concepts of DT from diverse backgrounds, so it is essential to acquire a good understanding of DT platforms. This paper aims to provide a literature review of DT platforms in manufacturing. Firstly, the current state of DT technology is presented, and a generalized definition of the DT platform is proposed. A comprehensive search for literature related to the DT platform was conducted using the Web of Science database through the definition. Meanwhile, the importance of ISO 23247, an international standard on DT frameworks for manufacturing, has been discussed to give a general view of requirements for building a DT platform. After that, typical DT platforms in both academia and industry were analyzed separately. Finally, a discussion is carried out to summarise the architecture, features, and functions that are important for DT platform development.","url":"https://doi.org/10.1115/msec2022-85085","authors":["Huiyue Huang","Tang Ji","Xun Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-30T18:15:05Z","doi":"10.1115/msec2022-85085","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/978-3-031-66719-0_8","name":"Visualisation in a Digital Twin Context","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-66719-0_8","authors":["Christian H. Bohlbro","Hugo Daniel Macedo","Daniella Tola","Lukas Esterle","Peter Gorm Larsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-24T12:02:30Z","doi":"10.1007/978-3-031-66719-0_8","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1117/12.3046412","name":"Construction and application of fiber optic gyro digital prototype based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3046412","authors":["Yueze Wang","Miao Yan","Zijian ZHANG"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-13T20:19:10Z","doi":"10.1117/12.3046412","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1002/9781394390205.ch16","name":"Virtual Replicas for Real Impact","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.ch16","authors":["Supriya","Ashutosh Shukla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.ch16","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/robotics14050057","name":"Quadruped Robots: Bridging Mechanical Design, Control, and Applications","source":"crossref","abstract":"Quadruped robots have emerged as a prominent field of research due to their exceptional mobility and adaptability in complex terrains. This paper presents an overview of quadruped robots, encompassing their design principles, control mechanisms, perception systems, and applications across various industries. We review the historical evolution and technological milestones that have shaped quadruped robotics. To understand their impact on performance and functionality, key aspects of mechanical design are analyzed, including leg configurations, actuation systems, and material selection. Control strategies for locomotion, balance, and navigation are all examined, highlighting the integration of artificial intelligence and machine learning to enhance adaptability and autonomy. This review also explores perception and sensing technologies that enable environmental interaction and decision-making capabilities. Furthermore, we systematically examine the diverse applications of quadruped robots in sectors including the military, search and rescue, industrial inspection, agriculture, and entertainment. Finally, we address challenges and limitations, including technical hurdles, ethical considerations, and regulatory issues, and propose future research directions to advance the field. By structuring this review as a systematic study, we ensure clarity and a comprehensive understanding of the domain, making it a valuable resource for researchers and engineers in quadruped robotics.","url":"https://doi.org/10.3390/robotics14050057","authors":["Qimeng Li","Franco Cicirelli","Andrea Vinci","Antonio Guerrieri","Wen Qi","Giancarlo Fortino"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-01T03:50:43Z","doi":"10.3390/robotics14050057","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1007/978-3-031-67778-6_6","name":"Digital Twins for Assessing the Impact of Autonomous Vehicles on Built-Environment Changes","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67778-6_6","authors":["Mahdi Aghaabbasi","Soheil Sabri","Abbas Rajabifard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-14T10:58:33Z","doi":"10.1007/978-3-031-67778-6_6","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/b978-0-443-27388-9.00009-x","name":"Enhancing supply chain efficiency: Industry 5.0 enablers driving digital twin integration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-27388-9.00009-x","authors":["Vijay Prakash Sharma","Pragya Rai","Anuradha Yadav","Indira Bhardwaj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T09:52:36Z","doi":"10.1016/b978-0-443-27388-9.00009-x","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00009-9","name":"Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00009-9","authors":["Md. AFROZ","Emmanuel Nyawende"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:43:45Z","doi":"10.1016/b978-0-443-30300-5.00009-9","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.33965/ama2024_202409l006","name":"DIGITAL SUPPLY CHAIN TWIN","source":"crossref","abstract":"","url":"https://doi.org/10.33965/ama2024_202409l006","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-25T12:33:13Z","doi":"10.33965/ama2024_202409l006","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.64628/aao.dq3g7mhp9","name":"The EU’s ‘twin’ green and digital transitions: a policy revolution, or just Euro-jargon?","source":"crossref","abstract":"","url":"https://doi.org/10.64628/aao.dq3g7mhp9","authors":["Antonio Aloisi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-26T23:25:32Z","doi":"10.64628/aao.dq3g7mhp9","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/aero63441.2025.11068505","name":"Unleashing the Cognitive Digital Twin via Semantic Orchestration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero63441.2025.11068505","authors":["Mark Walker","Jean-Marie Forêt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-14T17:40:12Z","doi":"10.1109/aero63441.2025.11068505","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.62311/nesx/rb-978-81-998923-8-5","name":"AI-Driven Digital Twin Frameworks for Real-Time Optimization of Continuous and Batch Processing Industries","source":"crossref","abstract":"Abstract: This book develops a rigorous framework for AI-driven digital twins as instruments for real-time optimization across continuous and batch processing industries. It argues that digital twin value does not arise from visualization alone, but from the disciplined integration of process knowledge, statistical inference, machine learning, data engineering, and institutional governance. The manuscript positions the twin as a governed analytical environment in which physical assets, sensors, models, and decision protocols are synchronized to improve process reliability, throughput, quality, energy performance, and resilience. Across five chapters, the discussion moves from conceptual foundations and uncertainty-aware research design to statistical explanation, causal reasoning, trustworthy prediction, adaptive optimization, reproducible analytics, MLOps, and sectoral governance. Special attention is given to the differences between continuous and batch operations, the demands of interpretable industrial decision-making, and the practical requirements for scaling twins from pilot projects to enterprise platforms. The book further examines how evidence standards, cyber controls, workforce design, sustainability metrics, and public policy shape the legitimacy of industrial AI. Designed for researchers, practitioners, and policymakers, the manuscript offers architecture blueprints, validation logics, governance matrices, and deployment roadmaps that can support responsible digital transformation across South Asia, Europe, Africa, and the Americas. Keywords digital twins, industrial AI, process optimization, continuous manufacturing, batch processing, statistical modelling, causal inference, machine learning, explainability, MLOps, data governance, cyber resilience, sustainability, industrial policy, real-time analytics, operations management","url":"https://doi.org/10.62311/nesx/rb-978-81-998923-8-5","authors":["Murali Krishna Pasupuleti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-09T14:10:31Z","doi":"10.62311/nesx/rb-978-81-998923-8-5","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4799670","name":"Multi-Attribute Decision Aid Model –Building Up a Digital-Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4799670","authors":["Gergely Hodosi","Edit Sule","Tamás Bódis","Kitti Udvardy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-18T18:18:19Z","doi":"10.2139/ssrn.4799670","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2118/213115-ms","name":"3D Real Time Digital Twin","source":"openalex","abstract":"Abstract The term Digital Twin, referring to the digital representation of an indistinguishable physical system or process in the real world, is a relatively new technology that has gained attention in recent years due to its potential to improve efficiency and decision-making in various industries. The concept behind Digital Twins is to create a virtual replica of a physical asset or process, allowing for real-time monitoring, data analysis, and simulation of different scenarios. This technology can be applied to various industries such as manufacturing, construction, and oil and gas. In the oil and gas industry, Digital Twins can provide several benefits. For example, they can improve operational efficiency by providing real-time data on the performance and condition of assets, allowing for better decision-making and reducing downtime. Additionally, Digital Twins can also help with asset management by providing detailed information on the performance and maintenance requirements of assets, which can be used to optimize their operation and extend their service life. Furthermore, Digital Twins can also be used to simulate the performance of new assets before they are built, reducing the risk of errors and increasing the chances of success. One of the key aspects of Digital Twins is that they can be updated in real-time, allowing for continuous optimization of the system. This is achieved by integrating various technologies such as sensors, IoT devices, and machine learning algorithms, which provide data on the physical asset and its environment. The data is then processed and analyzed, providing insights that can be used to improve the performance of the asset.","url":"https://doi.org/10.2118/213115-ms","authors":["E. Ferrigno","G. A. Barsola","Eugenio Ferrigno"],"tags":["Downtime","Computer science","Asset (computer security)","Virtual representation","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-07","doi":"10.2118/213115-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.2118/207248-ms","name":"Success Factors of an Enterprise-Wide Digital Twin Strategy","source":"crossref","abstract":"Abstract While many companies have embarked on their digital transformation journeys implementing different forms of \"Digital Twins\" to cover specific business processes and challenges, their main challenge has been integrating these disparate Digital Twin projects into one single combined view to create significant new value and competitive advantage for the business. To be effective, the Digital Twin needs to be capable of supporting the entire asset lifecycle from the early phases of a capital project to operations and maintenance up to asset retirement, leveraging the same data in a platform able to support the end-to-end process. This paper looks at several approaches, which large owner operators at different levels of organizational information management maturity have used to build their Enterprise Scale Digital Twin strategies. It uses the lessons learned to highlight the successes and failures of these strategies and recommended approaches going forward. The results observed, identify that whilst there is a reasonably standard roadmap for approaching the development of Digital Twins most customers begin at different points along that journey. It also highlights that the end goal may not be the same across an Enterprise and that by taking the development of a Digital Twin as a series of incremental steps, independent of the starting point, serves to accelerate the journey by driving an increase in the organizational maturity in terms of People, Process and Technology and an improvement in data quality. One of the key components in any strategy was the ability to manage the information standard for the Digital Twin at an Enterprise level, for both greenfield and brownfield organizations and assets. The paper concludes the benefits of technical and commercial scalability and the requirements to get a solid manageable and trustworthy core of information should be at the heart of any Enterprise-wide Digital Twin strategy. This is contrary to the common approach of building a single detailed Proof of Concept (PoC) addressing as many use cases as possible and then templatizing that as an approach to repeat around the Enterprise, which often leads to failure on additional deployments where the maturity and challenges are different.","url":"https://doi.org/10.2118/207248-ms","authors":["Steve Parvin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-10T02:04:48Z","doi":"10.2118/207248-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1115/imece2020-24037","name":"Digital Twin for Smart Manufacturing: The Practitioner’s Perspective","source":"crossref","abstract":"Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.","url":"https://doi.org/10.1115/imece2020-24037","authors":["Maja Bärring","Björn Johansson","Goudong Shao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-02-16T16:03:13Z","doi":"10.1115/imece2020-24037","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1142/9789819824625_bmatter","name":"BACK MATTER","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_bmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_bmatter","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3390/su17219491","name":"Twin Transition: Digital Transformation Pathways for Sustainable Innovation","source":"crossref","abstract":"This paper examines how organizations and regions integrate digital transformation with environmental sustainability (“twin transition”). Based on 43 semi-structured expert interviews across 27 countries, we identify five empirically grounded insights. First, adoption is propelled by competitive pressure, external shocks, and rising regulatory and stakeholder demands. Second, success depends on internal capabilities—clear leadership vision and workforce skills—together with supportive regional innovation ecosystems. Third, deliberate technological synergies—especially digital twins for lifecycle optimization, Artificial Intelligence (AI)/analytics and Internet of Things (IoT) for monitoring, and blockchain for traceability—enable measurable gains in resource efficiency and environmental performance. Fourth, integration strengthens eco-innovation capacity, resilience to disruption, competitive positioning, and regional innovation dynamics. Fifth, persistent barriers remain; organizational silos, key performance indicators (KPIs) misalignment, rebound effects from digital infrastructures, and uneven regional capabilities. By linking enabling conditions, integration mechanisms, and barriers, the study advances theory and offers actionable guidance for managers and policymakers on realizing the twin transition, using descriptive counts to indicate salience within a purposive expert sample rather than to draw statistical inferences.","url":"https://doi.org/10.3390/su17219491","authors":["Adel Ben Youssef"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-30T05:08:47Z","doi":"10.3390/su17219491","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4907946","name":"Conceptual Modeling Method of Multi-Abstraction Level Digital Twin Based on Extended Rflp Model","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4907946","authors":["Chunlong Wu","Ao Cui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-27T23:17:36Z","doi":"10.2139/ssrn.4907946","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5276993","name":"Digital Twin of a Vibration Energy Harvesting System Under Gaussian Noise Excitation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5276993","authors":["Ya-Hui Sun","Xiao-Qing Ye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-31T13:39:39Z","doi":"10.2139/ssrn.5276993","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4750671","name":"Dynamically Adaptive Cascading Updates for Hierarchical Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4750671","authors":["Haoyu GUO","Shaoping Wang","Jian SHI","Fausto LIZZIO","Giorgio GUGLIERI"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-07T01:17:07Z","doi":"10.2139/ssrn.4750671","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.7044180","name":"Digital Twin-Enabled LiDAR-UWB Fusion for Automated Facility Monitoring and Worker–Asset Tracking","source":"crossref","abstract":"Automated personnel and asset tracking in dense metallic facilities, such as nuclear plants, remains challenging due to severe signal degradation and visual occlusion. This paper proposes a novel dual-modal LiDAR-UWB sensor fusion framework to enable robust spatial monitoring and automated behavioral anomaly detection. By integrating solid-state LiDAR point clouds with UWB positioning, we establish a resilient, real-time tracking architecture. Furthermore, a micro-kernel compliance engine is developed to dynamically evaluate operational trajectories against established safety protocols. Extensive physical bench testing across 50 trials in a highly metallic mock-up demonstrates the framework&amp;apos;s superior performance. The proposed system achieves a 94.7% multi-target tracking accuracy and limits the false alarm rate to 1.8%, all while maintaining a low processing latency of 45 ms. Ultimately, this automated spatial intelligence solution significantly enhances digital facility management and operational safety in complex built environments.","url":"https://doi.org/10.2139/ssrn.7044180","authors":["Dong Yan","Yufeng Xiao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T21:38:08Z","doi":"10.2139/ssrn.7044180","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1115/omae2022-78775","name":"Data Driven Digital Twin Applications Towards Green Ship Operations","source":"crossref","abstract":"Abstract Due to the growing rate of energy consumption and its consequent emissions, the International Maritime Organization (IMO) has devised strict rules for an extensive reduction in Greenhouse Emissions (GHG), which forces the shipping industry to search for more energy-efficient solutions. Therefore, alongside with the Energy Efficiency Design Index (EEDI), improving the energy efficiency of existing ships under the Energy Efficiency Existing Ship Index (EEXI) is of considerable importance. This paper address this issue by proposing a digital twin framework supported by big data analytics for ship performance monitoring. The proposed framework is developed by the respective data sets from a selected vessel. For this purpose, a cluster analysis is implemented using the Gaussian Mixture Models (GMMs) with the Expectation Maximization (EM) algorithm. By this approach, the most frequent operating regions of the engine is detected, the shapes of these frequent operating regions are captured, and the relationships between different navigation and performance parameters of the engine are determined. That will make the basis for a digital twin application in shipping. The main objective of this research study is to develop a digital twin of a marine engine by considering the engine operational conditions that can be utilized toward green ship operations. The contribution of this paper and the outcomes can facilitate the shipping industry to meet the IMO requirements enforced by its regulations.","url":"https://doi.org/10.1115/omae2022-78775","authors":["Mahmood Taghavi","Lokukaluge Prasad Perera"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-13T21:50:12Z","doi":"10.1115/omae2022-78775","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36227/techrxiv.21710897.v1","name":"Digital Twin-Assisted OWC: Towards Smart and Autonomous Networks","source":"crossref","abstract":"With the advancements of high-resolution cameras, highly sensitive photodetectors, and energy-efficient light-emittingdiodes, optical wireless communication (OWC) has emerged as keyenabling technology for 6G and beyond. Similarly, digital twin (DT) technology has been recently proposed to meet the diverse requirements of emerging applications and provide efficient optimization of the overall system resources by enabling self-sustaining and proactive online learning. In DT, various technology disciplines, including big data, artificial intelligence, machine learning, intelligent computing, communication, and security-aware technologies, are integrated to create a virtual replica that reflects the physical system. Motivated by this, the presented article discusses DT and its role in the reliable and ubiquitous implementation of OWC networks. We first provide an overview of this emerging research area by shedding light on the key enabling technologies and potential applications in the context of smart-autonomous OWC networks. Subsequently, we provide recent advancements and design aspects related to DT-assisted OWC systems. Finally, future research directions and the impact of different system and environmental factors on the overall network performance are discussed. To the best of the authors’ knowledge, this is the first in-depth review in the literature on the integration of DT with OWC networks.","url":"https://doi.org/10.36227/techrxiv.21710897.v1","authors":["Hossien Eldeeb","Shimaa Naser","Lina Bariah","Sami Muhaidat","Murat Uysal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-12T16:24:11Z","doi":"10.36227/techrxiv.21710897.v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4043/31773-ms","name":"Combining the Process and Maintenance Digital Twin to Create an Autonomous Production Platform","source":"crossref","abstract":"Abstract In the next 5-10 years, it is to be expected that normally unmanned production platforms (and eventually autonomous platforms) with a single yearly maintenance intervention will become the norm. This paper describes the basis for achieving this objective by integrating digital twins for the Process and Asset Performance/Maintenance domains. The Process Twin described has been deployed in real-world field applications and provides the necessary level of reliability and accuracy to allow for closed-loop production optimization in real-time (i.e., optimized setpoints are pushed directly to the DCS or SCADA without manual verification or validation). The process model covers the entire production value chain, including reservoir, wells, risers, process facilities, sale of product, etc. Multiple constraints can be entered into the optimization engine, giving operators the ability to define a bespoke landscape for their optimization based on several key performance indicators (KPIs) related to production, process, economic, and environmental requirements. The Asset Performance Twin complements the Process Twin by continuously generating the remaining Useful Life (RUL) of equipment. In the event that RUL does not match the timing of the next planned maintenance campaign, an alternative operational scenario can be calculated to extend the RUL. The Process Twin then optimizes production around this new constraint, with the ultimate objective being to minimize unplanned downtime and associated manual interventions.","url":"https://doi.org/10.4043/31773-ms","authors":["Bob Okhuijsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-04-24T20:15:55Z","doi":"10.4043/31773-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.64917/ircee.v13.i04.a02","name":"Dynamic Frameworks for Real-Time Interaction and Control in Digital Twin-Based Smart Manufacturing Systems","source":"crossref","abstract":"The evolution of Industry 4.0 has accelerated the integration of cyber-physical systems, intelligent automation, and digital twin technologies into smart manufacturing environments. Digital twins have emerged as dynamic virtual representations capable of enabling synchronized communication between physical assets and virtual computational systems. This research investigates dynamic frameworks for real-time interaction and control in digital twin-based smart manufacturing systems by examining the architectural, computational, and operational dimensions of cyber-physical manufacturing ecosystems. The study synthesizes theoretical perspectives from distributed manufacturing systems, edge computing, artificial intelligence, industrial Internet of Things (IIoT), and digital twin integration models to establish a comprehensive framework for adaptive manufacturing control. The research proposes a layered interaction-control architecture emphasizing interoperability, low-latency communication, predictive analytics, and autonomous decision-making. The study further evaluates the role of edge intelligence, multi-agent coordination, human-machine collaboration, and adaptive synchronization in enhancing production efficiency and resilience. Findings indicate that dynamic digital twin frameworks significantly improve operational transparency, predictive maintenance capabilities, resource optimization, and decentralized control efficiency. However, challenges associated with cybersecurity, scalability, data governance, and real-time synchronization remain critical limitations. The paper contributes a unified conceptual model that integrates distributed intelligence and adaptive digital synchronization for next-generation manufacturing systems.","url":"https://doi.org/10.64917/ircee.v13.i04.a02","authors":["Dr. Somchai Vongphachan","Dr. Kanya Phommasak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T13:22:35Z","doi":"10.64917/ircee.v13.i04.a02","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003132868-9","name":"eVote – A Decentralized Voting Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003132868-9","authors":["Vanita Jain","Akanshu Raj","Abhishek Tanwar","Mridul Khurana"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T15:47:30Z","doi":"10.1201/9781003132868-9","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003625483-9","name":"Digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003625483-9","authors":["Paul E. Zieske"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-22T17:13:52Z","doi":"10.1201/9781003625483-9","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2514/6.2025-97641","name":"Digital Twin for In-Space Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-97641","authors":["Katelyn Burke","Dr. Puneet Singla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-12T15:02:24Z","doi":"10.2514/6.2025-97641","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6568379","name":"A novel approach to digital twin-based energy efficiency monitoring and failure analysis in industrial applications","source":"crossref","abstract":"Machine tools are critical to modern manufacturing, yet their high energy consumption and vulnerability to faults present significant operational challenges. While predictive models can enhance energy optimization and fault diagnosis, their performance is often constrained by the scarcity of high-quality training data. To address this gap, this study presents a real-time digital twin (DT) framework that integrates OPAL-RT HIL simulation with OPC-UA-based cloud communication. The system enables both energy monitoring and synthetic fault data generation under diverse machining conditions. The DT operates in a bidirectional loop with a cloud-based data acquisition layer, allowing real-time parameter input and retrieval of simulated outputs. Model fidelity is verified by aligning simulation results with real-world CNC machine measurements and further confirmed through pattern-based external validation. The framework is applied to analyze energy consumption across varying machining parameters-such as electrospindle speed, feed rate, tool length, and depth of cut-and to simulate bearing fault scenarios for evaluating their impact on power consumption. These simulations produce labeled datasets suitable for future diagnostic and predictive maintenance applications. This work delivers a validated, closed-loop DT framework that unites high-fidelity OPAL-RT simulation, real-time OPC-UA data exchange, and synthetic data generation, extending predictive maintenance capabilities beyond those of prior modeling or diagnostic approaches. The proposed methodology offers a scalable foundation for energy-aware machining and real-time fault detection, contributing to sustainable manufacturing practices and operational resilience in smart industrial systems.","url":"https://doi.org/10.2139/ssrn.6568379","authors":["Mohsen Zeynivand"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-20T16:16:26Z","doi":"10.2139/ssrn.6568379","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003634560-8","name":"Digital twin and digital triplet technology in healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003634560-8","authors":["Priyanka Tyagi","Neelam Shrivastava","Kajol Mittal","Garima Saini","Shitharth Selvarajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T19:30:02Z","doi":"10.1201/9781003634560-8","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.4018/979-8-3693-4199-5.ch006","name":"Digital Twin for IoT Healthcare System","source":"crossref","abstract":"In the era of Industry 4.0, smart linked hospitals have emerged as essential elements and self-contained ecosystems of smart cities with the introduction of the Internet of Things (IoT). One of the most complicated and quickly evolving IoT application sectors is healthcare. In addition, the healthcare industry has always embraced new technology and tried for opportunities on it. Healthcare systems can now use analytics over IoT data streams as a collection of data to find new information, predict early detection, and support decisions on crucial situations for the improvement of life quality. Hospital records, patient medical records that do not contain sensitive information, the results of medical examinations, and Internet of Things applications are some of the sources of big data in the health sector. Because of this, the massive stream of unstructured data is too much for the existing approaches to handle effectively. Digital twin (DT) is novel and promising technology in this field. It is believed that DT will revolutionize the idea of digital healthcare and carry this business to levels that were never before attained. DT is a real-time transformed data virtual replica of a physical item that reveals its present status. A virtual patient replica might be the best way for healthcare institutions to promote health, give patients more control over their health, and enhance operational efficiency. By means of this simulation, the current health status of the patient will be monitored. On additional to that, developments for the future can be predicted using medical history. This book utilizes the DT framework to propose and develop an IOT healthcare system. As a result, a machine learning-based blood pressure approach was developed to identify cardiac issues and diagnose heart disease. The models that have been implemented into practice were able to accurately predict a specific cardiac condition using a variety of techniques. The gathered data has shown that incorporating DT into the healthcare industry would enhance procedures by uniting patients and medical staff in a scalable, intelligent, and encompassing health ecosystem. Additionally, the concept for using machine learning and artificial intelligence with various human body parameters for continuous monitoring and abnormality detection came from the implementation of a decision tree classifier that identifies pressure level. This framework is a useful addition to enhance healthcare operations and digital healthcare. By compiling the vast amount of data on the technology used to create DT in healthcare, this study closes the gaps. The characteristics of DT, communication tools and technologies used in the development of DT models, standards, reference models, and the researcher's most recent work in the healthcare industry are among the main topics of this paper. This book's primary goal is to present an approach for organizing the manipulation of secure and dependable data in the context of health care, with a particular focus on the development of digital twins for individualized treatment. Both types of experts will use these: (i) data analysts, who will create expert recommender systems and extract information (explainable AI); and (ii) medical practitioners, who will use the knowledge produced by their study to improve diagnosis. The knowledge generated by their study will be used by medical experts to better diagnosis, as well as data analysts who will develop expert recommender systems and extract information.","url":"https://doi.org/10.4018/979-8-3693-4199-5.ch006","authors":["M. Anand","S. Babu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-04T10:57:22Z","doi":"10.4018/979-8-3693-4199-5.ch006","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1117/12.2582823","name":"Digital twin-trained deep convolutional neural networks for fringe analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2582823","authors":["Yi Zheng","Beiwen Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-04T20:46:56Z","doi":"10.1117/12.2582823","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.12688/digitaltwin.17863.2","name":"A digital twin-based analysis method to assess geometric variations for parts in batch production","source":"crossref","abstract":"Background In mass production, engineers are more concerned with the statistical distribution accuracy of parts in mass production rather than just the qualification of individual parts. However, currently, the statistical analysis methods designed for product accuracy are relatively scattered, and most of them focus on nominal part models. Therefore, there is a need to design a statistical analysis method for parts in mass production based on the Digital Twin model. &gt;Methods This paper presents a novel method to analyse the geometric variations of parts in batch production in the production line, which is based on digital twins to model and evaluate deviations contributed by the geometrical condition, assembly condition and material condition. Firstly, the statistical descriptions of the parts, particularly the features of a digital twin for parts in batch production related to the geometry and position, are classified into various hierarchies. Secondly, a covariance method is employed to analyse the law of their shape from the descriptions. Thirdly, the parts' shape feature similarity for different terms is derived, including the linear features of pose constraint, rotation deviation, and geometric deviation and the curve features like a geometric deviation. Finally, the probability distribution of discrete points on the manufacturing error caused by different reasons is calculated. Results Two case studies of reducer and rail highlight the applicability of the proposed approach. The standard deviation of the points has similar trend with sample cases according to normal distribution. Conclusions This paper categorizes the deviations of batch parts into the linear features of pose constraint, rotation deviation, and geometric deviation. When batch parts exhibit any of these deviation types, the eigenvalues and eigenvectors of their covariance matrix show certain patterns, enabling the identification of the deviation type and calculation of the statistical deviation probability distribution for the corresponding features.","url":"https://doi.org/10.12688/digitaltwin.17863.2","authors":["Junnan Zhi","Yanlong Cao","Tukun Li","Anwer Nabil","Fan Liu","Xiangqian Jiang","Jiangxin Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-19T07:45:06Z","doi":"10.12688/digitaltwin.17863.2","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003532286","name":"Digital Twin and Blockchain for Sustainable Healthcare 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532286","authors":["Monica Gahlawat","Sudeep Tanwar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-10T17:00:36Z","doi":"10.1201/9781003532286","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acsaenm.6c00616.s001","name":"Modular Multi-Scale Digital Twin Framework for Sustainable Design of Hybrid Air-Purifying Facepiece","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsaenm.6c00616.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-09T11:20:37Z","doi":"10.1021/acsaenm.6c00616.s001","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4324/9781003262039-13","name":"A Digital Twin for Finance","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003262039-13","authors":["Christof Mascher"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-06T12:08:08Z","doi":"10.4324/9781003262039-13","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4469346","name":"Digital Twin for Norvik Port in Sweden:A Focus on Modern Pavement Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4469346","authors":["JULIAN RODRIGUEZ","Romain Balieu","Nicole Kringos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-05T10:19:28Z","doi":"10.2139/ssrn.4469346","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00013-0","name":"Electronic health records in a blockchain","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00013-0","authors":["Mustafa Sanlı"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:44:07Z","doi":"10.1016/b978-0-443-30300-5.00013-0","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6298524","name":"Digital twin framework-based LED lamps fault diagnosis using CNN-BiLSTM algorithm","source":"crossref","abstract":"LED lamps are widely deployed in the lighting industry; however, the complex operating conditions have led to increasingly prominent demands for whole life-cycle management and intelligent operation and maintenance. To address the limitations of existing LED lamp fault diagnosis approaches, which heavily rely on empirical knowledge and exhibit insufficient intelligence, this study integrates digital twin and deep learning technologies to propose an intelligent fault diagnosis method for LED lamps. First, a digital twin model specifically oriented toward LED lamp fault diagnosis is established. Subsequently, twin data modeling and analysis are conducted based on optical output time-series signals of LED lamps, and key features characterizing operational states are extracted from both the time domain and frequency domain. Furthermore, a deep learning-based fault diagnosis model for LED lamps is proposed and comparatively evaluated against several representative deep learning algorithms. Experimental results demonstrate that the proposed method achieves a fault diagnosis accuracy of 98.62%, exhibiting clear advantages in terms of diagnostic precision and stability.","url":"https://doi.org/10.2139/ssrn.6298524","authors":["Wenjing Jia","Fukang Sun","Qiansheng Fang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-24T12:37:57Z","doi":"10.2139/ssrn.6298524","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2118/198372-ms","name":"Digital Twin of a Research Organization: Approaches and Methods","source":"crossref","abstract":"Abstract Competition urges business to adopt the concept of digital twins. In some industry sectors, digital twins are already firmly in place: there are digital twins of plants and cities. However, in the industries where the core product is knowledge, digital twins are not yet in great demand. There is no doubt that research organizations have a backbone, corporate culture, values which help them carry out their unique work. By modeling these internal hidden features of an organization, we can get unique tools for forecasting and managing the technology strategy. A digital twin of a science and technology center may be viewed as a special system model type, which uncovers such hidden phenomena as creation of new branches and schools of thought and the extent of creative burnout and fatigue of the team. Prototyping, as an engineering discipline, has been in existence for over 30 years and, at first glance, is doing the same thing. However, unlike the prototype, the digital twin does not aim to quickly implement basic functionality to analyze the operation of the system as a whole. Therefore, in order to understand the advantages of digital twins, it is necessary to understand the new opportunities they offer. Going from general to specific, the authors chose a science and technology center as a focus for their analysis, considered the approaches to building a digital twin, and then summed up those approaches. As a result, they have current research hypotheses that have to be checked before creating the digital twin of an organization or its part aiming to produce new knowledge. Finally, we provide the results of the simulation of the digital twin model.","url":"https://doi.org/10.2118/198372-ms","authors":["Mars Khasanov","Fedor Krasnov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-10-15T21:58:27Z","doi":"10.2118/198372-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acselectrochem.4c00017.s001","name":"Digital Twin of a Standard Electrochemical Cell for Cyclic Voltammetry Based on NernstPlanckPoisson Model","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acselectrochem.4c00017.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-23T10:11:22Z","doi":"10.1021/acselectrochem.4c00017.s001","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/autotestcon47464.2023.10296392","name":"FPGA-Based Digital Twin Approach for Design and Test","source":"crossref","abstract":"","url":"https://doi.org/10.1109/autotestcon47464.2023.10296392","authors":["Peter Schulz","Louis Y. Ungar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-02T17:46:29Z","doi":"10.1109/autotestcon47464.2023.10296392","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6281046","name":"XR-Teleop: An XR-Based Teleoperation and Digital Twin Framework for the Franka Emika Panda Robot","source":"crossref","abstract":"Extended reality (XR) teleoperation systems enable intuitive and high-quality human interaction with robotic manipulators, facilitating demonstration collection, supervisory control, and Digital Twin interaction. However, many existing approaches rely on tightly coupled communication pipelines or specialized middleware, limiting modularity and extensibility. This paper presents XR–Teleop, an open and modular teleoperation framework that bridges a physical Franka Emika Panda robot and its Digital Twin counterpart using MQTT-based communication. The system supports real-time teleoperation and is designed to be easily modifiable, simple to use, and compatible with readily available consumer hardware.","url":"https://doi.org/10.2139/ssrn.6281046","authors":["Daniel Stoyanov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-21T12:44:35Z","doi":"10.2139/ssrn.6281046","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003403791","name":"Blockchain and Digital Twin Enabled IoT Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003403791","authors":["Randhir Kumar","Prabhat Kumar","Sobin C C"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T06:25:28Z","doi":"10.1201/9781003403791","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.33313/389/251","name":"Digital Twin Technologies: The Key to Sustainability and Quality Within the Manufacturing 5.0 Paradigm","source":"crossref","abstract":"ABSTRACT Manufacturing 5.0 represents a new era of collaborative industry, characterized by intimate human-machine cooperation that enhances production value, respects consumer needs, and prioritizes environmental sustainability. In the context of the steel industry, the role of Digital Twin technology becomes crucial in achieving the goals of Manufacturing 5.0. This article explores how Digital Twin technology can transform steel production, focusing on the evolving role of operators in a data-driven environment. We will discuss methodologies and provide examples of how to redesign control systems to be more ergonomic and user-friendly. In this paradigm, operators shift from “Driving” to “Predicting,” supported by systems that forecast anomalies and suggest alternative strategies. This transformation is essential for maintaining high standards of quality and sustainability in steel manufacturing.","url":"https://doi.org/10.33313/389/251","authors":["Marco Ometto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/251","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1002/9781394287420.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:06:37Z","doi":"10.1002/9781394287420.fmatter","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4516492","name":"A Tyre-Rim Interaction Digital Twin for Biaxial Loading Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4516492","authors":["Simone Venturini","Elvio Bonisoli","Carlo Rosso","Mauro Velardocchia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-20T17:23:14Z","doi":"10.2139/ssrn.4516492","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5250543","name":"Digital Twin Technology for Enhancing Dynamic PFMEA Updates in Advanced Manufacturing Environments: A Case Study Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5250543","authors":["Carter James"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-14T18:26:22Z","doi":"10.2139/ssrn.5250543","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.23919/ist-africa63983.2024.10569389","name":"Digital Twin Monitoring of Classes and Students","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ist-africa63983.2024.10569389","authors":["Boitumelo Leotlela","Marijke Coetzee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-01T17:29:02Z","doi":"10.23919/ist-africa63983.2024.10569389","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5044900","name":"Towards Sustainable Packaging: A Proof-of-Concept Digital Twin for Corrugated Board Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5044900","authors":["Jason  E. Djajasaputra","Ricardo Fitas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-05T09:06:36Z","doi":"10.2139/ssrn.5044900","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5220/0014335500004058","name":"MDPNML: A Multidimensional Petri Net Markup Language Enabling Construction and Simulation of Comprehensive Digital Twin Models","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014335500004058","authors":["Atieh Khodadadi","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-18T18:41:20Z","doi":"10.5220/0014335500004058","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.3788/col201412.060013","name":"Twin-image problem in digital holography—a survey (Invited Paper)","source":"crossref","abstract":"","url":"https://doi.org/10.3788/col201412.060013","authors":["Elena Stoykova Elena Stoykova","Hoonjong Kang Hoonjong Kang","Jiyung Park Jiyung Park"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2014-06-04T06:49:32Z","doi":"10.3788/col201412.060013","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.12688/digitaltwin.17695.2","name":"A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17695.2","authors":["Qingfeng Xu","Guanghui Zhou","Chao Zhang","Fengtian Chang","Qian Huang","Min Zhang","Yifan Zhi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-27T12:20:32Z","doi":"10.12688/digitaltwin.17695.2","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36227/techrxiv.176772690.04257246/v1","name":"Digital twin models for HV circuit breaker operating mechanism condition assessment","source":"crossref","abstract":"A physics-based digital twin model of a high voltage circuit breaker operated by a spring-based operating mechanism is proposed with focus on its condition assessment and prognostics for remaining useful life estimation. The model includes minimal sub-models for the relevant components, such as the mechanical actuator (trip coil) and operating mechanism, as well as some special physical phenomena involved, like the switching arc and vibrations generated during the device operation. The developed physical models used in combination with asset monitoring data can give indications on degradation of the circuit breaker operating mechanism components, supporting maintenance decisions.","url":"https://doi.org/10.36227/techrxiv.176772690.04257246/v1","authors":["Felipe Macedo","Alexey Sokolov","Thomas Christen","Merrill Gutzwiller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-06T19:15:12Z","doi":"10.36227/techrxiv.176772690.04257246/v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1142/9789819824625_fmatter","name":"FRONT MATTER","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_fmatter","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1017/s0001566000004876","name":"Twin Studies in Craniofacial Genetics: A Review","source":"crossref","abstract":"Abstract A review of the literature on twin studies in craniofacial genetics is presented. The following areas are particularly dealt with: tooth form and size, tooth formation and eruption, dental arch and occlusion, facial form and size, and cleft lip and palate.","url":"https://doi.org/10.1017/s0001566000004876","authors":["Minoru Nakata"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2016-07-27T05:58:39Z","doi":"10.1017/s0001566000004876","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch016","name":"The Automated Fire Safety Integration System With Digital Twin Technology Using Sensors","source":"crossref","abstract":"The integrated fire safety management system incorporates modules that are able to detect, report, monitor, and mitigate fire disasters in the place where it is installed. The system comprises four modules, one to detect the presence of fire, one to investigate the cause of the fire to be a short circuit, one to monitor the condition of the place that can be installed in the user's mobile, and lastly, the fire extinguishing robot that is able to detect the fire and extinguish it locally. The proposed system is able to control that damage to a great extent. This system can be used in schools, office spaces, and hotels where the immediate response to a fire is of utmost importance.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch016","authors":["C. N. S. Vinoth Kumar","R. Naresh","S. Senthil Kumar","Madhurya Mozumder","Amish Agarwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch016","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch002","name":"A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology","source":"crossref","abstract":"This chapter explores the burgeoning field of integrating artificial intelligence (AI) into unmanned aerial vehicles (UAVs) through the lens of digital twin technology. UAVs, commonly known as drones, have garnered significant interest for their diverse applications. Incorporating AI capabilities into UAVs offers enhanced functionalities and opens up new horizons in various domains. The chapter provides an extensive review of the latest advancements and applications at the intersection of AI, UAVs, and digital twin technology. It delves into AI algorithms, learning models, and data processing techniques that empower UAVs to perceive, learn, and make informed decisions. Additionally, the survey presents a comprehensive outlook on how digital twin technology contributes to real-time simulation, monitoring, and control of UAVs, enabling a deeper understanding of their behaviour and performance.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch002","authors":["A. Peter Soosai Anandaraj","R. Dhivya","Karamath Ateeq","Sangeetha Subramaniam"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch002","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5194/egusphere-egu25-17933","name":"New Digital Twin for Destination Earth: TerraDT &amp;#8211; Digital Twin of Earth System for Cryosphere, Land Surface, and Related Interactions","source":"crossref","abstract":"Reliable, high-resolution information on regional and local climate impacts is crucial for effective climate change adaptation and mitigation strategies. The European Commission Destination Earth (DestinE) initiative aims to address this need by creating advanced Digital Twins (DTs) of the Earth, including the Climate Adaptation Digital Twin (Climate DT), which provides km-scale climate information over multiple decades. However, the ability of the Climate DT to support actionable impact assessments is limited by its incomplete representation of critical Earth system components.To overcome these limitations, we present TerraDT, a Horizon Europe-funded research project focused on developing a state-of-the-art Digital Twin of the Earth system with a specific emphasis on the cryosphere, land surface, and their interactions. TerraDT aligns with the DestinE vision of creating interoperable and interactive DTs and advances Earth system modeling by enhancing the representation of land ice, sea ice, aerosols, and land surface processes at global km-scale resolution.TerraDT features a modular and scalable infrastructure with a generic coupling interface that supports the integration of novel components, including artificial intelligence (AI) and machine learning (ML)-based emulators. This framework enables more accurate climate projections and impact assessments, while user-oriented models provide actionable insights into cryosphere and land-surface-related challenges. The project pursues three primary objectives:Develop TerraDT to improve climate projections and impact assessments for enhanced decision-making.&amp;#160; Enhance the DestinE infrastructure by creating a modular, scalable, and interoperable TerraDT platform with advanced software, high-performance computing, and data handling capabilities.&amp;#160; Foster user uptake by engaging the scientific community and stakeholders in public and private sectors, ensuring a user-centric approach to development and deployment.&amp;#160; TerraDT is designed for full integration into the DestinE framework, ensuring compatibility and enhancing the overall ecosystem&amp;#8217;s capability to guide climate adaptation and mitigation efforts.By delivering improved accuracy in modeling the cryosphere and land-surface interactions, TerraDT positions itself as a transformative enhancement to DestinE. Its innovative infrastructure, combined with its focus on modularity and user engagement, ensures TerraDT provides robust, actionable climate projections to policymakers and stakeholders worldwide, fostering a more resilient and sustainable future.","url":"https://doi.org/10.5194/egusphere-egu25-17933","authors":["Narayanappa Devaraju","Jenni Kontkanen","Jenni Poutanen","Juha Tonttila","Hendryk Bockelmann","Hauke Schmidt","Nikolay Koldunov","Daniel Klocke","Etienne Tourigny","Maria Giuffrida","Mario Acosta","Harri Kokkola","Thomas Zwinger","Anton Laakso","Sara Garavelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-15T04:54:01Z","doi":"10.5194/egusphere-egu25-17933","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5940889","name":"Assessing Digital–Sustainability Synergy in Twin Transformation: A Weighted Maturity Model and Case Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5940889","authors":["Seyedehmehrsa Fatemi","behzad Behdani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-19T08:39:23Z","doi":"10.2139/ssrn.5940889","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2118/229000-ms","name":"Dynamic Digital Twin-Driven Auto-Drilling: A New Era in Automated Well Construction","source":"crossref","abstract":"Abstract This article presents a cutting-edge approach to automated drilling, integrating an auto-driller system with advanced ecosystem powered by dynamic digital twin, to optimize drilling performance in real time. The methodology enables continuous adjustment of operational parameters based on actual wellbore conditions, significantly enhancing drilling efficiency, safety, and risk mitigation. By identifying operational sweet spots and automating critical processes, the system delivers substantial improvements in key performance indicators (KPIs). The paper includes implementation results and a comparative analysis, demonstrating the effectiveness of this intelligent ecosystem in modern well delivery. The ecosystem provides functionality for pre-drilling planning and real-time execution phases. During the planning phase, a detailed drilling roadmap is created within the ecosystem, where operational parameters are validated through risk assessments and mechanical/hydraulic modeling to ensure wellbore and drillstring integrity. These verified parameters serve as target values for the auto-driller during execution. In the operational phase, a dynamic digital twin continuously assesses wellbore conditions, calculates optimal operational parameters, and updates the roadmap accordingly. Real-time outputs—including setpoints for on- and off-bottom activities—are transmitted directly to the OEM Programmable Logic Controllers (PLCs), enabling fully unmanned and automated drilling. The system proactively detects the severity of drilling malfunctions and anticipates potential hazards, ensuring that key risks are mitigated at an early stage. Additionally, the auto-driller operates under a predefined control algorithm, which includes: automated operations sequence with continuous monitoring and adaptation based on current wellbore conditions. The drill-ahead module automatically defines the targeted toolface orientation for slide mode execution to follow the planned trajectory. Implementing pre-drill planning within the ecosystem enables the selection of downhole equipment, identification of optimal drilling parameters, and estimation of expected ROP, taking into account the analysis of efficiency from previous offset wells drilling operations. Leveraging the ecosystem to control an auto-driller guarantees the execution of technological operations under optimal conditions. Wellbore, drilling equipment states are continuously and automatically evaluated in real-time by dynamic digital twin. Rock cutting process and Wellbore treatment efficiency, safe operational envelop and drilling dysfunction risks are automatically evaluated along the execution. Well construction cycle improvements exceed 30% of the conventional drilling and predefined lookup auto-drilling techniques for similar wells. Using the drill ahead module has reduced sliding time by up to 10%. NPTs and ILTs losses were decreased by operating in the actual safe operational zone and mitigating at an early state downhole hazards such as: micro influxes and mud losses, pack-offs, stuck pipe, premature drilling tools wear, etc. and BHA overloads due to excessive torsional and lateral vibrations stick. The digital twin 1hz frequency automated analysis identified all precursors of upcoming hole condition deterioration: deviation of slack off weights and micro overpulls, automatically identifies FFs and generates sensitivity trend analysis, notifying key personnel, generating reports, and setting values to swiftly achieve optimal states. The applied methodology proves its viability and effectiveness in well construction, particularly in settings with constrained operational pathways. Integrating the ecosystem that merges well design and real-time analysis with auto-driller systems presents an opportunity to deploy innovative process management techniques to achieve consistent improvements throughout available equipment. The integration of the digital ecosystem can seamlessly span acr","url":"https://doi.org/10.2118/229000-ms","authors":["R. Karpov","K. Zakirov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-03T00:04:44Z","doi":"10.2118/229000-ms","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.69554/pzmm9316","name":"Digital twin development for airport management","source":"crossref","abstract":"The Digital Airport and Building Information Modelling (BIM) technology linked to planning, project and management processes, construction, maintenance and operations in parametric three-dimensional design with all the underground, land and above-land information serves as a parametric database for supporting planning and improving project management. An airport digital twin is not limited to building infrastructure; it includes the associated working processes. It serves as a large-scale information repository to improve performance and obtain data more efficiently. All business sectors will benefit, including the commercial, assets management, operations, engineering and maintenance departments. The model will also promote an environment that will lead to digital transformation. For the implementation of such digital models effectively in the company’s business, strategic planning is necessary so that digital twins can beused well by organisations to bring good results to the company.","url":"https://doi.org/10.69554/pzmm9316","authors":["Patrícia Pereira Oliveira"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-25T07:38:42Z","doi":"10.69554/pzmm9316","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1115/1.0003970v","name":"Digital Twin: Collaborative Virtual Reality Environment for Multi-Purpose Industrial Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0003970v","authors":["Vladimir Kuts","Fei Yu","Tauno Otto","Yevhen Bondarenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T19:13:52Z","doi":"10.1115/1.0003970v","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1038/s43588-021-00077-0","name":"The digital twin revolution","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s43588-021-00077-0","authors":["Omer San"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-20T12:05:57Z","doi":"10.1038/s43588-021-00077-0","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.5088204","name":"Digital Twin-Enabled Bim-Iot Framework for Optimizing Indoor Thermal Comfort Using Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5088204","authors":["Fahad Iqbal","Shayan Mirzabeigi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-08T15:37:01Z","doi":"10.2139/ssrn.5088204","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.33965/celda2020_202014c041","name":"DIGITAL TWIN: DECREASING THE COGNITIVE LOAD BY USING INDUSTRY 4.0 SIMULATION","source":"crossref","abstract":"","url":"https://doi.org/10.33965/celda2020_202014c041","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-11T11:04:40Z","doi":"10.33965/celda2020_202014c041","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.7124224","name":"Digital Twin–Enabled Communication-Aware StateEstimation for Tactile Internet–Driven Robotic 3DConcrete Printing","source":"crossref","abstract":"Remote robotic three-dimensional concrete printing(3DCP) moves construction to hazardous or inaccessible sitesover ultra-reliable, low-latency Tactile Internet (TI) links. Theestimator inherits that network’s faults. Delay and jitter corruptthe timing of commands and measurements; dropped packetsremove them outright. We argue the filter must model thechannel as explicitly as it models the process, and we report acommunication-aware estimator built on that premise. MOESPsubspace identification extracts the dominant printer-side state-space dynamics from measured input–output records. An ex-tended Kalman filter (EKF) then runs on the identified modeland estimates four print-fidelity states through degraded commu-nication: nozzle pressure pk , bead width wk , layer height hk , anda deformation proxy dk , which serves as a buildability indicator.Across six progressively degraded TI scenarios generated bya digital twin surrogate, the filter holds all four states underfavorable and moderate links. Hence, RMSE and MAE increasewith impairment severity, as does geometric error. Against alinear Kalman filter run on the same data with identical noisecovariances and fallback logic, the EKF reduces vector RMSEby roughly 75%. Hence, estimator design and communication-impairment modeling work together to set print-fidelity outcomesfor remote robotic 3DCP.","url":"https://doi.org/10.2139/ssrn.7124224","authors":["Siraj  Al Qunaynah","Shakil Ahmed"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T21:45:19Z","doi":"10.2139/ssrn.7124224","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.4860801","name":"Multimodal Data Fusion in Digital Twin System of Marine Ranching","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4860801","authors":["Xi Deng","Yupeng Zhu","Mobai Chen","Lu Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T05:17:32Z","doi":"10.2139/ssrn.4860801","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.47330/cbc.2021.zrvf8881","name":"IOTA ledger and IoT: A Secure Sustainable Infrastructure for the Construction Industry","source":"crossref","abstract":"The modern construction industry is all about connecting supply chains, workers and buildings. Internet of Things is one of the enabling technologies to provide more automation in this highly connected environment. However, more connectivity brings new opportunities but also more cyber-physical threats. In particular in relation to constrained IoT devices. Blockchain and decentralized identities can help to re-establish trust, improve security and develop new business models. Not all blockchains are equal and to guarantee the sustainability of the construction industry, any additional blockchain infrastructure needs to maintain a low carbon footprint. This talk will discuss the role of distributed ledgers (aka DLTs, aka blockchain) and in particular of the IOTA DLT in securing the connected construction industry and present some of the solutions and use cases currently being developed.","url":"https://doi.org/10.47330/cbc.2021.zrvf8881","authors":["Michele Nati"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.zrvf8881","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.26226/morressier.612f6739bc98103724100957","name":"Digital twin of a vibrodriver for soil force estimation","source":"crossref","abstract":"","url":"https://doi.org/10.26226/morressier.612f6739bc98103724100957","authors":["Franck RENAUD","Antonio Baldassarre","Dr Adrien CHASSAIGNE","Jean-Luc DION"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-10T18:40:20Z","doi":"10.26226/morressier.612f6739bc98103724100957","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5194/egusphere-egu26-6409","name":"stTwin: A digital twin framework for catchment-scale sediments transport","source":"crossref","abstract":"Sediment transport is a fundamental process shaping landscapes and posing significant hazards in mountainous regions. However, traditional field monitoring and simulation approaches, such as grain size sampling and numerical modeling, are often costly and time consuming. Recent advances in physics-based models and machine learning have substantially improved spatial and temporal resolution. These achievements enable the development of digital twins to explore what-if scenarios and to better understand the dynamic processes involved.In this work, we combine the probabilistic sediment cascade model (SedCas) with the machine learning–based event detection model (Flow-Alert) to develop a digital twin of a catchment. The former relies solely on climate forcing to simulate sediment dynamics, whereas the latter uses seismic signals to identify extreme sediment transport events, such as debris flows. We address three key questions. First, how to design a digital twin framework that captures the physical components of sediment transport, including erosion on hillslopes, hillslope to channel transfer, and channel transport to the catchment outlet, at hourly and even sub hourly temporal resolution. Second, how to fuse predictions from the physics-based model SedCas and the machine learning based model Flow-Alert to merge and balance the strengths of these two modeling approaches. Third, how to reduce uncertainty when translating insights from the virtual entity back to the physical entity. We demonstrate that the digital twin framework enables potential users, such as governmental agencies and local stakeholders, to explore what if scenarios and better understand how climate change and human interventions influence sediment transport dynamics.","url":"https://doi.org/10.5194/egusphere-egu26-6409","authors":["Qi Zhou","Hui Tang","Jacob Hirschberg","Fabian Walter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T21:58:36Z","doi":"10.5194/egusphere-egu26-6409","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/swc62898.2024.00321","name":"A Digital Twin for Pest Population Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00321","authors":["Sandeep Dhakal","Hazel Parry"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00321","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/aero63441.2025.11068652","name":"Data-Driven Physics-Based Digital Twin for Linkage Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero63441.2025.11068652","authors":["Mitchell Fogelson","Zachary Manchester"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-14T17:40:12Z","doi":"10.1109/aero63441.2025.11068652","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1021/acsaenm.6c00616.s004","name":"Modular Multi-Scale Digital Twin Framework for Sustainable Design of Hybrid Air-Purifying Facepiece","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsaenm.6c00616.s004","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-09T11:20:37Z","doi":"10.1021/acsaenm.6c00616.s004","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.36227/techrxiv.170475326.65758197/v1","name":"Enhancing Network Intrusion Detection: An AutoML Pipeline with Efficient Digital Twin Synchronization","source":"crossref","abstract":"In the era of 5G and Beyond (5G+) networks, characterized by increased complexity and vulnerability to cyberthreats, the detection of cyberattacks within network traffic becomes more challenging. Machine Learning (ML) offers a promising solution for detecting cyberthreats. However, the constantly ever-evolving technology landscape introduces rapidly evolving attacks, requiring continuous ML model updates. Accordingly, this paper leverages the power of Automated ML (AutoML) and Digital Twin (DT) technologies to deploy an Intrusion Detection System (IDS) in resource-constrained environments, which remains effective over time. An AutoML pipeline is proposed in this paper for multi-class network attack detection, consisting of three offline and automated phases-data preprocessing, feature engineering, and model learning-and an online phase for model monitoring and updates. Additionally, a DT has been introduced to continually update and evolve the ML model in response to the dynamic nature of new attacks, emphasizing low overhead and efficient synchronization. Specifically, two data generation approaches within the DT are explored: uniform sampling based on statistical properties and generative models (such as Variational AutoEncoders (VAEs) and Generative Adversarial Networks (GANs)) using raw data. The experimental results demonstrate that uniform sampling achieves the fastest recovery, lowest overhead, and highest privacy in enhancing the multi-layer perceptron, the best-performing ML model.","url":"https://doi.org/10.36227/techrxiv.170475326.65758197/v1","authors":["Mirna El Rajab","Li Yang","Abdallah Shami"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-08T17:34:30Z","doi":"10.36227/techrxiv.170475326.65758197/v1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.2139/ssrn.6105555","name":"A Digital Twin Driven Framework for Fault Detection in Industrial IoT Systems with Explainable AI","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6105555","authors":["Mohamed Mostafa AbdulAli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-26T14:23:31Z","doi":"10.2139/ssrn.6105555","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1201/9781003507390-15","name":"Smart Farming with “Blockchain”","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-15","authors":["Rati Kailash Prasad Tripathi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-15","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.1109/lsens.2025.3642424/mm1","name":"Digital Twin for Drone Indoor Autonomous Navigation_supp1-3642424.gif","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lsens.2025.3642424/mm1","authors":["Della Thomas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-29T18:40:12Z","doi":"10.1109/lsens.2025.3642424/mm1","addedAt":"2026-09-01T01:47:43.606Z","updatedAt":"2026-09-01T01:47:43.606Z"},{"id":"doi:10.5281/zenodo.1127255","name":"A Review On Factors Influencing Implementation Of Secure Software Development Practices","source":"datacite","abstract":"More and more businesses and services are depending on software to run their daily operations and business services. At the same time, cyber-attacks are becoming more covert and sophisticated, posing threats to software. Vulnerabilities exist in the software due to the lack of security practices during the phases of software development. Implementation of secure software development practices can improve the resistance to attacks. Many methods, models and standards for secure software development have been developed. However, despite the efforts, they still come up against difficulties in their deployment and the processes are not institutionalized. There is a set of factors that influence the successful deployment of secure software development processes. In this study, the methodology and results from a systematic literature review of factors influencing the implementation of secure software development practices is described. A total of 44 primary studies were analysed as a result of the systematic review. As a result of the study, a list of twenty factors has been identified. Some of factors that affect implementation of secure software development practices are: Involvement of the security expert, integration between security and development team, developer’s skill and expertise, development time and communication between stakeholders. The factors were further classified into four categories which are institutional context, people and action, project content and system development process. The results obtained show that it is important to take into account organizational, technical and people issues in order to implement secure software development initiatives.","url":"https://doi.org/10.5281/zenodo.1127255","authors":["Kanniah, Sri Lakshmi","Mohd Naz'ri Mahrin"],"tags":["Secure software development","software development","software security","systematic literature review."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2016","doi":"10.5281/zenodo.1127255","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5281/zenodo.1127256","name":"A Review On Factors Influencing Implementation Of Secure Software Development Practices","source":"datacite","abstract":"More and more businesses and services are depending on software to run their daily operations and business services. At the same time, cyber-attacks are becoming more covert and sophisticated, posing threats to software. Vulnerabilities exist in the software due to the lack of security practices during the phases of software development. Implementation of secure software development practices can improve the resistance to attacks. Many methods, models and standards for secure software development have been developed. However, despite the efforts, they still come up against difficulties in their deployment and the processes are not institutionalized. There is a set of factors that influence the successful deployment of secure software development processes. In this study, the methodology and results from a systematic literature review of factors influencing the implementation of secure software development practices is described. A total of 44 primary studies were analysed as a result of the systematic review. As a result of the study, a list of twenty factors has been identified. Some of factors that affect implementation of secure software development practices are: Involvement of the security expert, integration between security and development team, developer’s skill and expertise, development time and communication between stakeholders. The factors were further classified into four categories which are institutional context, people and action, project content and system development process. The results obtained show that it is important to take into account organizational, technical and people issues in order to implement secure software development initiatives.","url":"https://doi.org/10.5281/zenodo.1127256","authors":["Kanniah, Sri Lakshmi","Mohd Naz'ri Mahrin"],"tags":["Secure software development","software development","software security","systematic literature review."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2016","doi":"10.5281/zenodo.1127256","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5281/zenodo.1131991","name":"Methods For Material And Process Monitoring By Characterization Of (Second And Third Order) Elastic Properties With Lamb Waves","source":"datacite","abstract":"In accordance with the industry 4.0 concept, manufacturing process steps as well as the materials themselves are going to be more and more digitalized within the next years. The “digital twin” representing the simulated and measured dataset of the (semi-finished) product can be used to control and optimize the individual processing steps and help to reduce costs and expenditure of time in product development, manufacturing, and recycling. In the present work, two material characterization methods based on Lamb waves were evaluated and compared. For demonstration purpose, both methods were shown at a standard industrial product - copper ribbons, often used in photovoltaic modules as well as in high-current microelectronic devices. By numerical approximation of the Rayleigh-Lamb dispersion model on measured phase velocities second order elastic constants (Young’s modulus, Poisson’s ratio) were determined. Furthermore, the effective third order elastic constants were evaluated by applying elastic, “non-destructive”, mechanical stress on the samples. In this way, small microstructural variations due to mechanical preconditioning could be detected for the first time. Both methods were compared with respect to precision and inline application capabilities. Microstructure of the samples was systematically varied by mechanical loading and annealing. Changes in the elastic ultrasound transport properties were correlated with results from microstructural analysis and mechanical testing. In summary, monitoring the elastic material properties of plate-like structures using Lamb waves is valuable for inline and non-destructive material characterization and manufacturing process control. Second order elastic constants analysis is robust over wide environmental and sample conditions, whereas the effective third order elastic constants highly increase the sensitivity with respect to small microstructural changes. Both Lamb wave based characterization methods are fitting perfectly into the industry 4.0 concept.","url":"https://doi.org/10.5281/zenodo.1131991","authors":["R. Meier","M. Pander"],"tags":["Lamb waves","industry 4.0","process control","elasticity","acoustoelasticity."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2017","doi":"10.5281/zenodo.1131991","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5281/zenodo.1131992","name":"Methods For Material And Process Monitoring By Characterization Of (Second And Third Order) Elastic Properties With Lamb Waves","source":"datacite","abstract":"In accordance with the industry 4.0 concept, manufacturing process steps as well as the materials themselves are going to be more and more digitalized within the next years. The “digital twin” representing the simulated and measured dataset of the (semi-finished) product can be used to control and optimize the individual processing steps and help to reduce costs and expenditure of time in product development, manufacturing, and recycling. In the present work, two material characterization methods based on Lamb waves were evaluated and compared. For demonstration purpose, both methods were shown at a standard industrial product - copper ribbons, often used in photovoltaic modules as well as in high-current microelectronic devices. By numerical approximation of the Rayleigh-Lamb dispersion model on measured phase velocities second order elastic constants (Young’s modulus, Poisson’s ratio) were determined. Furthermore, the effective third order elastic constants were evaluated by applying elastic, “non-destructive”, mechanical stress on the samples. In this way, small microstructural variations due to mechanical preconditioning could be detected for the first time. Both methods were compared with respect to precision and inline application capabilities. Microstructure of the samples was systematically varied by mechanical loading and annealing. Changes in the elastic ultrasound transport properties were correlated with results from microstructural analysis and mechanical testing. In summary, monitoring the elastic material properties of plate-like structures using Lamb waves is valuable for inline and non-destructive material characterization and manufacturing process control. Second order elastic constants analysis is robust over wide environmental and sample conditions, whereas the effective third order elastic constants highly increase the sensitivity with respect to small microstructural changes. Both Lamb wave based characterization methods are fitting perfectly into the industry 4.0 concept.","url":"https://doi.org/10.5281/zenodo.1131992","authors":["R. Meier","M. Pander"],"tags":["Lamb waves","industry 4.0","process control","elasticity","acoustoelasticity."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2017","doi":"10.5281/zenodo.1131992","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5281/zenodo.1034658","name":"Cyber Crime And Legal Countermeasures: A Historical Analysis","source":"datacite","abstract":"This article reviews the historical development of cyber crime and legal countermeasures. The article divides the process into four stages and concludes that cyber criminal phenomena have developed almost synchronously with Information and Communication Technology (ICT). Cyber crimes are in a process of accelerating development and are becoming gradually routinized. Notably, the electronic divide thus results in cyber crime divide. The basic conclusion is that criminal resources decide the amount of crime, while judicial resources decide the deterrence. When the balance is reached between criminal resources and judicial resources in the long term, the criminal phenomena will be saturated at an equilibrium point.","url":"https://doi.org/10.5281/zenodo.1034658","authors":["Li, Johannes Xingan"],"tags":["Cyber crime, History, Deterrence, Legislation, Law enforcement, Criminal justice, Social control."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2017","doi":"10.5281/zenodo.1034658","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.5281/zenodo.1034657","name":"Cyber Crime And Legal Countermeasures: A Historical Analysis","source":"datacite","abstract":"This article reviews the historical development of cyber crime and legal countermeasures. The article divides the process into four stages and concludes that cyber criminal phenomena have developed almost synchronously with Information and Communication Technology (ICT). Cyber crimes are in a process of accelerating development and are becoming gradually routinized. Notably, the electronic divide thus results in cyber crime divide. The basic conclusion is that criminal resources decide the amount of crime, while judicial resources decide the deterrence. When the balance is reached between criminal resources and judicial resources in the long term, the criminal phenomena will be saturated at an equilibrium point.","url":"https://doi.org/10.5281/zenodo.1034657","authors":["Li, Johannes Xingan"],"tags":["Cyber crime, History, Deterrence, Legislation, Law enforcement, Criminal justice, Social control."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2017","doi":"10.5281/zenodo.1034657","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.21954/ou.ro.0000ef5e","name":"Towards a Digital Land of Song: A Digital Approach to the Archival Record of Welsh Traditional Music, its Performance and its Reception","source":"datacite","abstract":"Divided between a prototype digital resource and a written companion, this research implements and examines some of the possibilities and prospects offered to the study of Welsh traditional music by digital humanities methods and approaches. Built on a relational database, the digital prototype functions as a server-based annotated index of a sample of sources from the collections of the National Library of Wales. The user interface of the prototype uses hyperlinks and geographical mapping to express connections between sources of, figures involved with, and reception information relating to Welsh traditional music. Its written companion serves as a contextual review and exposition of some of the research interests that have informed the creation of the prototype. Philosophically, these interests include the concepts of cultural geography, national identity, collective memory, archive, and their intersections with music. Musicologically, the research centres around twin axes: the traces of Welsh traditional music in the theoretical and literal archive constituted by the National Library of Wales, and the integration and inter-referencing of these traces in a virtual space in order to consider Welsh traditional music and its material record as a situated cultural activity.","url":"https://doi.org/10.21954/ou.ro.0000ef5e","authors":["Cusworth, Andrew Dominic John"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2016","doi":"10.21954/ou.ro.0000ef5e","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.20381/ruor-23045","name":"Configurable Medical Cyber-Physical System Framework for Physical Activity Monitoring","source":"datacite","abstract":"A digital twin facilitates the means to monitor, understand, and optimize the functions of the physical entity and provides continuous feedback to improve quality of life, and Medical Cyber-Physical Systems (MCPS) is an integral part of this vision. Many studies focus on human motion to digitize data for further analysis. The literature review presented here emphasizes on gait analysis and gait events detection using wearable devices, which compare results by testing on different groups of individuals. Amongst those, there is a focus on digitizing activities for athletes and sports activities. However, there is a lack of research that address configurability for this type of MCPS. Adding new physical devices to an established MCPS requires manual configuration. Recent studies either solve the issue of users’ mobility by providing a wireless solution with local storage, or sacrifice mobility in order to provide real-time information through wired communication. However, group physical activity applications, such as sports coaching and group physiotherapy, use customized devices that need to be automatically configured in the system. In addition, these systems need to support mobility and real-time data presentation. To solve this problem, a framework is proposed to design a wellbeing Cyber-Physical System (CPS) that focuses on system configurability, providing real-time data of body sensor networks while supporting wireless and mobile communication. A communication protocol is proposed to allow seamless integration and communication of system components, and to enable bandwidth-conscious data transmission. As a proof of concept, a configurable CPS for gait activities monitoring is designed to read, visualize, and backup spatiotemporal data from one or more multi-sensory physical devices over conventional Wi-Fi and in real-time. Two experiments were performed using the implemented CPS. The first experiment was performed outdoors and tested if the CPS components would recognize each other and work seamlessly over foreign networks while providing usable information. The second experiment was performed in collaboration with the Health Sciences Department using our system and the Tekscan Strideway gait mat simultaneously to compare results and to ensure accuracy. In addition, this experiment tested configurability of the system by using different measurement devices for different users.","url":"https://doi.org/10.20381/ruor-23045","authors":["Arafsha, Faisal"],"tags":["cyber-physical systems; gait analysis; smart insole; IoT framework; real-time measurement"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.20381/ruor-23045","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.26174/thesis.lboro.8266127.v1","name":"Developing digital transformative capabilities of industrial businesses by leveraging the industrial internet of things","source":"datacite","abstract":"Industrial businesses are going through a period of digital disruption and firms are under severe pressure to undertake Digital Transformation and leverage the Industrial Internet of Things (IIoT). Yet, there is next to no scholarly guidance for such an endeavour. Most industrial firms are developing their Digital Transformation strategies, however, they are not sure what kind of capabilities they should develop for such transformation. Though there is limited academic literature about Digital Transformation and how firms are developing digital transformative capabilities, a systematic literature review was performed to disentangle capability transformation processes and how firms are developing dynamic capabilities to remain competitive in a high-velocity environment. The current study extended dynamic capability theory and proposed digital transformative capabilities (DTCs) for Digital Transformation. To understand the IIoT landscape and how it influences Digital Transformation, an industry review was performed. The research was conducted in two phases. Based on the literature review and industry review, in the first phase, two qualitative exploratory studies were performed. The preliminary exploratory study was conducted to get an understanding of the IIoT landscape and how firms were developing capabilities for transformation. Based on the insights from preliminary exploratory study, a detailed exploratory study was performed which revealed critical themes for Digital Transformation and, based on these themes, a conceptual framework for Digital Transformation was derived. The conceptual framework was divided into two models. The front-end model viii identified three DTCs (Business Model Transformation, Operating Model Transformation and Cultural Transformation), three inputs (Digital Twin, Digital Thread and Digital Mindset) and the factors influencing the DTCs. The back-end model examined the influence of DTCs on dynamic capabilities, which may be indicative of digital transformation in a company. In the second phase, these two models were tested through a quantitative analysis, utilizing data generated from 107 respondents from 87 industrial companies via a self-reported online questionnaire and the application of multiple linear regression analysis. The Digital Twin is widely touted as an important input for DTC but the result did not support that. Digital Thread as an input for DTC was supported and Digital Mindset as an input for DTC was partially supported. Using moderator analysis, important insights were identified. The moderators, Technology Turbulence, Market Turbulence, Competitor Turbulence and Path Dependency had some positive moderation effects. The positive influence of ‘DTC – Business Model Transformation’ on dynamic capabilities which may be indicative of digital transformation in a company was not supported. However, the positive influence of ‘DTC – Operating Model Transformation’ was supported and ‘DTC – Cultural Transformation’ was partially supported. The moderation effects of ecosystem partnership and resource scarcity and constraints were partially supported, and the moderation effects of customer and market demands and digital commitment were not supported or refuted.","url":"https://doi.org/10.26174/thesis.lboro.8266127.v1","authors":["Ghosh, Swapan"],"tags":["150399 Business and Management not elsewhere classified","FOS: Economics and business"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.26174/thesis.lboro.8266127.v1","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"doi:10.26174/thesis.lboro.8266127","name":"Developing digital transformative capabilities of industrial businesses by leveraging the industrial internet of things","source":"datacite","abstract":"Industrial businesses are going through a period of digital disruption and firms are under severe pressure to undertake Digital Transformation and leverage the Industrial Internet of Things (IIoT). Yet, there is next to no scholarly guidance for such an endeavour. Most industrial firms are developing their Digital Transformation strategies, however, they are not sure what kind of capabilities they should develop for such transformation. Though there is limited academic literature about Digital Transformation and how firms are developing digital transformative capabilities, a systematic literature review was performed to disentangle capability transformation processes and how firms are developing dynamic capabilities to remain competitive in a high-velocity environment. The current study extended dynamic capability theory and proposed digital transformative capabilities (DTCs) for Digital Transformation. To understand the IIoT landscape and how it influences Digital Transformation, an industry review was performed. The research was conducted in two phases. Based on the literature review and industry review, in the first phase, two qualitative exploratory studies were performed. The preliminary exploratory study was conducted to get an understanding of the IIoT landscape and how firms were developing capabilities for transformation. Based on the insights from preliminary exploratory study, a detailed exploratory study was performed which revealed critical themes for Digital Transformation and, based on these themes, a conceptual framework for Digital Transformation was derived. The conceptual framework was divided into two models. The front-end model viii identified three DTCs (Business Model Transformation, Operating Model Transformation and Cultural Transformation), three inputs (Digital Twin, Digital Thread and Digital Mindset) and the factors influencing the DTCs. The back-end model examined the influence of DTCs on dynamic capabilities, which may be indicative of digital transformation in a company. In the second phase, these two models were tested through a quantitative analysis, utilizing data generated from 107 respondents from 87 industrial companies via a self-reported online questionnaire and the application of multiple linear regression analysis. The Digital Twin is widely touted as an important input for DTC but the result did not support that. Digital Thread as an input for DTC was supported and Digital Mindset as an input for DTC was partially supported. Using moderator analysis, important insights were identified. The moderators, Technology Turbulence, Market Turbulence, Competitor Turbulence and Path Dependency had some positive moderation effects. The positive influence of ‘DTC – Business Model Transformation’ on dynamic capabilities which may be indicative of digital transformation in a company was not supported. However, the positive influence of ‘DTC – Operating Model Transformation’ was supported and ‘DTC – Cultural Transformation’ was partially supported. The moderation effects of ecosystem partnership and resource scarcity and constraints were partially supported, and the moderation effects of customer and market demands and digital commitment were not supported or refuted.","url":"https://doi.org/10.26174/thesis.lboro.8266127","authors":["Ghosh, Swapan"],"tags":["150399 Business and Management not elsewhere classified","FOS: Economics and business"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.26174/thesis.lboro.8266127","addedAt":"2026-09-01T01:47:43.607Z","updatedAt":"2026-09-01T01:47:43.607Z"},{"id":"oa:W3112906959","name":"Simulation Models of Production Plants as a Tool for Implementation of the Digital Twin Concept into Production","source":"openalex","abstract":"The aim of the paper is to introduce the digital twin concept as part of the Industry 4.0 strategy. In the form of a case study, the procedure and outputs of the simulation of a specific production plant to-gether with its intermediate storage and output for the next plant are presented. In the research part is presented a simulation model of production lines and intermediate stock with material flow represen-tation. At the beginning of the research the analysis of production and logistics processes was carried out. The next part describes the programming methods used to record and redirect material flows between individual lines and stock. The simulation method using simulated production line models enables the digitization of dynamic production processes in enterprises. We expect that in the coming years there will be an increase in demand for the creation of simulation models of production systems in modern manufacturing companies that will try to implement the Industry 4.0 strategy and thus in-crease their competitiveness.","url":"https://doi.org/10.21062/mft.2020.064","authors":["Erika Sujová","Daniela Vysloužilová","Helena Čierna","Roman Bambura"],"tags":["Digitization","Production (economics)","Computer science","Production line","Material flow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-24","doi":"https://doi.org/10.21062/mft.2020.064","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4200284920","name":"Introducing Digital Twins of High-Speed Machining in the Manufacturing Life Cycle","source":"openalex","abstract":"Abstract The use of digital technology in metal cutting is considered. In particular, as an example, digital twins are used in the design of machining by end mills. Digital technologies for the design of high-speed machining operations are reviewed. The use of a digital twin in the manufacturing life cycle permits efficient design of the optimal high-speed machining cycles by one of the existing methods.","url":"https://doi.org/10.3103/s1068798x21110241","authors":["L. V. Shipulin","Д. В. Ардашев","V. V. Batuev","V. L. Kulygin"],"tags":["Machining","Engineering design process","Manufacturing engineering","Mechanical engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-01","doi":"https://doi.org/10.3103/s1068798x21110241","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7163700245","name":"Impact of Data Collection on Digital Shadow Modeling in Manufacturing: A Digital Twin Approach","source":"openalex","abstract":"ABSTRACT In the era of Industry 4.0, digital twin (DT) has gained substantial attention across industries for its capability to create dynamic digital representations of physical systems. A DT facilitates continuous data exchange between a physical asset and its virtual counterpart, enabling real-time monitoring and predictive analysis. A critical precursor to developing a full DT is digital shadow (DS), which digitally mirrors the behavior of a physical system using simulation tools. The effectiveness of a DS largely depends on the accuracy and fidelity of the input data. This paper proposes a step-by-step methodology for developing a DS using Discrete event simulation (DES) in FlexSim. The approach begins with a product architecture analysis to identify key process variables, enabling effective product family classification. This is followed by the selection of suitable DES software, with a focus on accommodating high product variability typical in complex manufacturing systems. A dual-mode data acquisition strategy, combining manual time studies with sensor-generated data, is then applied to capture both observable and high-resolution operational data. A comparative case study is conducted using two DS models, one based on manually collected data and the other on high-fidelity sensor data, within a high-mix, high-volume manufacturing setting. Results demonstrate that DS models built with high-fidelity data significantly enhance simulation precision. The second model successfully identified a production line imbalance and provided actionable insights through a micro study of manual activities that were executed in the assembly process. Furthermore, the proposed future state, modeled through the DS, showed a potential 20 % increase in production output, contributing to operational efficiency. This study aims to underscore the value of DS as a reliable and scalable tool for analyzing complex systems, supporting informed decision-making, and serving as a critical step toward the implementation of a complete DT.","url":"https://doi.org/10.1520/ssms20240039","authors":["Braian Rivera","Faiza Zehra","Uzair Khaleeq uz Zaman","Sajid Ullah Butt","Ahmed Jawad Qureshi"],"tags":["Computer science","Process (computing)","Data collection","Digital manufacturing","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.1520/ssms20240039","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4406612799","name":"Concept of Digital Twins for Autonomous Manufacturing through Virtual Learning and Commissioning","source":"openalex","abstract":"Autonomous manufacturing represents a paradigm shift in industrial operations, akin to autonomous driving. This paper explores the role of digital twins in enabling autonomous decision-making within discrete manufacturing environments operated by massive fleets of robotic agents. By integrating artificial intelligence (AI), particularly reinforcement learning, digital twins facilitate the management of complex automated material handling systems (AMHS), driving the transition towards software-defined factories (SDFs). In this paper, we demonstrate how digital twins support virtual learning, training the parameters for reinforcement learning, as well as virtual commissioning, optimizing system validation and testing through virtual and physical integrations.","url":"https://doi.org/10.1109/wsc63780.2024.10838750","authors":["Young Jae Jang","Jaeung Lee","Ferdinandz Japhne","Sangpyo Hong","Seol Hwang","Illhoe Hwang"],"tags":["Computer science","Project commissioning","Human–computer interaction","Artificial intelligence","Publishing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-15","doi":"https://doi.org/10.1109/wsc63780.2024.10838750","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4391425726","name":"Digital Twin data architecture for Product-Service Systems","source":"openalex","abstract":"The digital representation of physical products by Digital Twins has been increasingly perceived as a relevant enabler for Product-Service Systems (PSS). Digital Twins concentrate product data that can be applied to generate insights and thus support value-added services. However, the literature on the intersection between Digital Twin and PSS has only recently started to receive more attention. There are still research gaps related to the required data and systems integration. In this context, this research aims to propose a Digital Twin data architecture to support Product-Service Systems operation. A Design Science Research (DSR) approach is applied, and the proposed architecture has been implemented and tested. Assessment results indicated that the proposed Digital Twin architecture fulfills the four requirements established from the literature: 1) facilitate and support the service offering; 2) acquire and transmit field operation and customer data; 3) integrate design and manufacturing data; 4) guarantee real-time monitoring, data integration, and data fidelity. The presented results provide an original contribution to the research area and can serve as a reference for applying Digital Twin to support PSS in practice.","url":"https://doi.org/10.1016/j.procir.2023.09.232","authors":["Luiz Fernando C. S. Durão","Eduardo Zancul","Klaus Schützer"],"tags":["Architecture","Computer science","Product (mathematics)","Service (business)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procir.2023.09.232","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4385732623","name":"Achieving Zero Defected Products in Diary 4.0 using Digital Twin and Machine Vision","source":"openalex","abstract":"The digitalization of traditional industrial processes has profoundly influenced every step of the manufacturing value chain during the past two decades, having as its main goal to achieve zero-defected products. Moreover, since dairy production is at the heart of food industry, it is critical to leverage innovative technologies to increase their efficiency and continuously meet the demanding standards from the farm level to market and reduce the amount of waste. Towards this end, we propose a Dairy 4.0 architecture capable of utilising information to detect and prevent flaws to the final dairy products. The architecture layers are based on machine vision and the digital twins technologies, while it respects the zero defect manufacturing (ZDM) approach. The proposed frameworks is structured on a four layer architecture: (i) the physical layer, which consists of dairy farming, dairy production, and dairy storage and logistics, (ii) the acquisition layer that is responsible for collecting contextual information, (iii) the digital twin layer which uses data from the vision system and the physical system to anticipate future occurrences, and finally (iv) the ZDM layer, which functions as an orchestrator and binding agent for all the processed data.","url":"https://doi.org/10.1145/3594806.3596554","authors":["Fotios K. Konstantinidis","Vasiliki Balaska","Symeon Symeonidis","Foivos Psarommatis","Athanasios Psomoulis","Georgios Giakos","Spyridon G. Mouroutsos","Αντώνιος Γαστεράτος"],"tags":["Leverage (statistics)","Architecture","Computer science","Layer (electronics)","Multitier architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-05","doi":"https://doi.org/10.1145/3594806.3596554","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4212900109","name":"Design and Optimization of a Novel Microchannel Battery Thermal Management System Based on Digital Twin","source":"openalex","abstract":"In order to avoid high-temperature and large rate discharge impact on the performance of battery modules, a microchannel liquid cooling battery thermal management system (BTMS) and BTMS virtual model of the microchannel structure based on digital twin (DT) is proposed. On the basis of accurate virtual simulation model, the computational fluid dynamics (CFD) model and the Gaussian process regression algorithm were combined to drive the optimization process in order to improve the cooling capacity of the system. The results show that the microchannel plates can greatly enhance the cooling capacity of the direct cooling system and effectively improve the uniformity of the coolant. The width of the microchannel plates and the side spacing actually represent the amount of coolant flowing through the inside and outside of the battery module, which significantly impacts the maximum temperature and maximum temperature difference. Increasing the coolant flow can only effectively improve the cooling capacity of the module to a limited extent. Gaussian process regression based on the DT virtual model is more suitable for analyzing the interaction between multiple factors and obtaining global optimization results. After optimization, the maximum temperature and the maximum temperature difference of the system are reduced by 4.02 °C and 5.05 °C, respectively. The proposed structure and method are expected to provide insights into the design and development of battery thermal management systems.","url":"https://doi.org/10.3390/en15041421","authors":["Ziming Xu","Jun Xu","Zhechen Guo","Haitao Wang","Zheng Sun","Xuesong Mei"],"tags":["Microchannel","Coolant","Battery (electricity)","Computer cooling","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-15","doi":"https://doi.org/10.3390/en15041421","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4412838944","name":"Digital Twin Technology for Real-Time Monitoring and Control in Smart Manufacturing","source":"openalex","abstract":"The future trajectory of manufacturing will include the profound inclusion of the internet, communication, and cognition within industrial applications, driven by ongoing advancements in science and engineering. The increasing sophistication of technological innovations, including the Internet of Things (IoT), massive data sets, and cloud computing (CC), has led to the development and utilization of a promising technology - Digital Twin (DT). Presently, investigations on DT have yielded several ideas and results that have been implemented across various domains. This study introduced a Digital Twin Technology for Real-Time Monitoring and Control in Smart Manufacturing (DTMC- SM). The DT is an important technology that allows for actualizing the potential of SM and Industry 4.0 to enhance the functioning of manufacturing processes. Fuelled by collecting and examining substantial information from linked virtual and physical environments, DTs are real-time digital representations of physical operations, procedures, or items that facilitate the assessment and enhancement of corporate performance. This research presents an innovative DT framework for continuous surveillance and assessment of extensive SM systems. An SM flow-shop implementation is shown to demonstrate the efficacy of the suggested technique.","url":"https://doi.org/10.71086/iajse/v11i3/iajse1155","authors":["Paolo Bianchi"],"tags":["Control (management)","Manufacturing engineering","Computer science","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-30","doi":"https://doi.org/10.71086/iajse/v11i3/iajse1155","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4406851005","name":"Digital twins: Transforming the chemical process industry—A review","source":"openalex","abstract":"Abstract Digital twin (DT) technology represents a significant advancement in the digital transformation of the chemical process industry (CPI), offering innovative capabilities for real‐time monitoring, predictive maintenance, and process optimization. This review investigates the current deployment status, frameworks, architectures, and applications of DTs within CPI, highlighting their transformative potential in improving operational efficiency, enhancing safety, and promoting sustainability. By examining case studies from industry leaders and analyzing recent advancements, this study elucidates the critical roles of DTs in asset health monitoring, process optimization, and environmental performance. The review identifies key components of DT frameworks, including data integration, hybrid modelling, and real‐time analytics, which are essential for effective implementation. It further explores challenges such as high computational requirements, integration with legacy systems, cybersecurity risks, and the lack of standardization, which impede widespread adoption. Despite these challenges, the paper emphasizes opportunities for leveraging advanced technologies such as artificial intelligence, edge computing, and 5G connectivity to enhance DT capabilities and scalability. In addition, this review underscores the importance of DTs in addressing global sustainability goals, mainly through their ability to optimize energy consumption, reduce emissions, and facilitate circular economy practices. By synthesizing insights from academia and industry, this study provides a comprehensive understanding of DTs' current state and future potential in CPI, offering strategic directions for research and development. The findings contribute to advancing the deployment of DTs as a cornerstone technology in achieving operational excellence, safety, and sustainability in the chemical process industry.","url":"https://doi.org/10.1002/cjce.25611","authors":["Pratyush Kumar Pal","Abhiram Hens","Narottam Behera","Sandip Kumar Lahiri"],"tags":["Process (computing)","Business","Process management","Process engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-26","doi":"https://doi.org/10.1002/cjce.25611","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4360983041","name":"A digital twin framework for robust control of robotic-biological systems","source":"openalex","abstract":"Medical device regulatory standards are increasingly incorporating computational modelling and simulation to accommodate advanced manufacturing and device personalization. We present a method for robust testing of engineered soft tissue products involving a digital twin paradigm in combination with robotic systems. We developed and validated a digital twin framework for calibrating and controlling robotic-biological systems. A forward dynamics model of the robotic manipulator was developed, calibrated, and validated. After calibration, the accuracy of the digital twin in reproducing the experimental data improved in the time domain for all fourteen tested configurations and improved in frequency domain for nine configurations. We then demonstrated displacement control of a spring in lieu of a soft tissue element in a biological specimen. The simulated experiment matched the physical experiment with 0.09 mm (0.001%) root-mean-square error for a 2.9 mm (5.1%) length change. Finally, we demonstrated kinematic control of a digital twin of the knee through 70-degree passive flexion kinematics. The root-mean-square error was 2.00°, 0.57°, and 1.75° degrees for flexion, adduction, and internal rotations, respectively. The system well controlled novel mechanical elements and generated accurate kinematics in silico for a complex knee model. This calibration method could be applied to other situations where the specimen is poorly represented in the model environment (e.g., human or animal tissues), and the control system could be extended to track internal parameters such as tissue strain (e.g., control knee ligament strain). Further development of this framework can facilitate medical device testing and innovative biomechanics research.","url":"https://doi.org/10.1016/j.jbiomech.2023.111557","authors":["A. Quinn","David J. Saxby","Fuwen Yang","Ana Carolina C. de Sousa","Claudio Pizzolato"],"tags":["Kinematics","Calibration","Computer science","Displacement (psychology)","Mean squared error"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-27","doi":"https://doi.org/10.1016/j.jbiomech.2023.111557","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4307403841","name":"A semantic-driven tradespace framework to accelerate aircraft manufacturing system design","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-022-02043-7","authors":["Xiaochen Zheng","Xiaodu Hu","Rebeca Arista","Jinzhi Lu","Jyri Sorvari","Joachim Lentes","Fernando Ubis","Dimitris Kiritsis"],"tags":["Computer science","Systems engineering","Software engineering","Ontology","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-25","doi":"https://doi.org/10.1007/s10845-022-02043-7","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4406035242","name":"A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT","source":"openalex","abstract":"Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to improve real-time decision-making, but challenges remain in trust, data security, and model accuracy. This paper presents a novel framework combining blockchain technology and federated learning (FL) to address these issues. By deploying AI models on edge devices and using FL, data privacy is maintained while enabling collaboration across industrial assets. Blockchain ensures secure data management and transparency, while explainable AI (XAI) enhances interpretability. The framework improves transparency, control, security, privacy, and scalability for self-optimizing digital twins in IIoT. A real-world evaluation demonstrates the framework’s effectiveness in enhancing security, explainability, and optimization, offering improved efficiency and reliability for industrial operations.","url":"https://doi.org/10.3390/fi17010013","authors":["Innocent B. Ababio","Jan Bieniek","Mohamed Rahouti","Thaier Hayajneh","Mohammed Aledhari","Dinesh Verma","Abdellah Chehri"],"tags":["Computer science","Transparency (behavior)","Scalability","Blockchain","Interpretability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-03","doi":"https://doi.org/10.3390/fi17010013","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4411768731","name":"A Systematic Literature Review on Digital Twins in Circular Supply Chain Management","source":"openalex","abstract":"ABSTRACT This study presents a systematic literature review exploring the role of Digital Twins (DTs) in Circular Supply Chain Management (CSCM). Employing a structured methodology based on the PRISMA protocol and analyzed through the Theory, Context, Characteristics, and Method (TCCM) framework, the review synthesizes 109 peer‐reviewed articles published between 2000 and 2024. Using bibliographic coupling, the research identifies six thematic clusters: (1) Integration of DT in Supply Chain; (2) DT and Industry 4.0; (3) Big Data, AI, and Circular Economy; (4) Risk Management and Supply Chain Resilience; (5) Additive Manufacturing and Spare Parts Logistics; and (6) Metaverse and Smart Factory Operations. Additionally, the study categorizes 86 unique theories applied in the DT‐CSCM literature, with Resource‐Based Theory, Complexity Theory, and Control Theory among the most cited. Key contributions include clarifying the intellectual structure of DT‐CSCM research, highlighting emerging research directions, and offering practical recommendations for industry practitioners and policymakers seeking to enhance supply chain sustainability and digital transformation. These deeply meaningful findings considerably improve our comprehension of the rapid pace of technological improvement in DT and its significant implications for the development of resilient, sustainable supply chains.","url":"https://doi.org/10.1002/bse.70038","authors":["Jeremiah Sunadh Polimetla","Rahul Sindhwani","Surajit Bag"],"tags":["Supply chain","Supply chain management","Business","Process management","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-29","doi":"https://doi.org/10.1002/bse.70038","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4220835478","name":"Digital Twin-Based Risk Control during Prefabricated Building Hoisting Operations","source":"openalex","abstract":"Prefabricated buildings have advantages when it comes to environmental protection. However, the dynamics and complexity of building hoisting operations bring significant safety risks. Existing research on hoisting safety risk lacks a real-time information interaction mechanism and lacks scientific control decision-making tools based on considering the correlation between safety risks. Digital twin (DT) has the advantage of real-time interaction. This paper presents a safety risk control framework for controlling prefabricated building hoisting operations based on DT. In the case of considering the correlation of the safety risk index of hoisting, the safety risk hierarchy model of hoisting is defined in the process of building the DT model. The authors have established a Bayesian network model into the process of the integrated analysis of the digital twin mechanism model and monitoring data to realize the visualization of the decision analysis process of hoisting safety risk control. The key degree of the indirect inducement variable to direct inducement variable was calculated according to probability. The key factor leading to the occurrence of risk was found. The effectiveness of the hoisting safety risk control method is verified by a large, prefabricated building project. This method provides decision tools for hoisting safety risk control, assists in formulating effective control schemes, and improves the efficiency of information integration and sharing.","url":"https://doi.org/10.3390/s22072522","authors":["Zhansheng Liu","Anxiu Li","Zhe Sun","Guoliang Shi","Xintong Meng"],"tags":["Engineering","Control (management)","Key (lock)","Process (computing)","Building information modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-25","doi":"https://doi.org/10.3390/s22072522","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4304150377","name":"The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review","source":"openalex","abstract":"The COVID-19 pandemic’s impacts have been devastating for the global economy, and particularly for manufacturing companies. Many firms were unprepared for a crisis of this magnitude and adapted their operations in an ad-hoc manner. Some of these adaptations were facilitated by digital technologies (DTs). This article examines extant literature using a systematic review methodology in order to extend our understanding of what DTs have been used in manufacturing companies during the pandemic, how DTs have helped manufacturing companies cope with the pandemic, and how these innovations can be used in the post-pandemic world. The major outcome of our study is a novel classification of DT applications in the pandemic setting in the manufacturing industry. In addition, we propose an agenda for future research.","url":"https://doi.org/10.1080/00207543.2022.2127960","authors":["Marco Ardolino","Andrea Bacchetti","Alexandre Dolgui","Guglielmo Franchini","Dmitry Ivanov","Anand Nair"],"tags":["Coronavirus disease 2019 (COVID-19)","Pandemic","Industry 4.0","Systematic review","2019-20 coronavirus outbreak"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-09","doi":"https://doi.org/10.1080/00207543.2022.2127960","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4403456823","name":"A vision-enabled fatigue-sensitive human digital twin towards human-centric human-robot collaboration","source":"openalex","abstract":"Within a Human-centric Human-Robot Collaboration (HHRC) system, monitoring, assessing, and optimizing for an operator’s well-being is essential to creating an efficient and comfortable working environment. Currently, monitoring systems are used for independent assessment of human factors. However, the rise of the Human Digital Twin (HDT) has provided the framework for synchronizing multiple operator well-being assessments to create a comprehensive understanding of the operator’s performance and health. Within manufacturing, an operator’s dynamic well-being can be attributed to their physical and cognitive fatigue across the assembly process. As such, we apply non-invasive video understanding techniques to extract relevant assembly process information for automatic physical fatigue assessment. Our novelty involves a video-based fatigue estimation method, in which the boundary-aware dual-stream MS-TCN combined with an LSTM is proposed to detect the operation type, operation repetitions, and the target arm performing each task in an assembly process video. The detected results are then input into our physical fatigue profile to automatically assess the operator’s localized physical fatigue impact. The assembly process of a real-world bookshelf is recorded and tested against, with our algorithm results showing superiority in operation segmentation and target arm detection as opposed to other recent action segmentation models. In addition, we integrate a cognitive fatigue assessment tool that captures operator physiological signals in real-time for body response detection caused by stress. This provides a more robust HDT of the operator for an HHRC system. • A Human Digital Twin framework modeling physical and cognitive fatigue in a Human-Centric Human-Robot Collaboration system. • Vision algorithm segments and classifies arm operations from live assembly video, enabling real-time, personalized, non-contact physical fatigue tracking. • Used Fitbit Sense 2 to track cognitive fatigue via real-time physiological signals. • Assess fatigue monitoring method for 26-task assembly, using physical and cognitive metrics to guide task allocation based on fatigue levels.","url":"https://doi.org/10.1016/j.jmsy.2024.10.002","authors":["Saahil Chand","Hao Zheng","Yuqian Lu"],"tags":["Human–robot interaction","Robot","Human–computer interaction","Computer science","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-16","doi":"https://doi.org/10.1016/j.jmsy.2024.10.002","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3188524037","name":"Digital twin-enabled smart industrial systems: recent developments and future perspectives","source":"openalex","abstract":"A digital twin refers to a virtual representation of a physical asset or system throughout its lifecycle (Mikell and Clark 2018). It leverages the Internet of Things (IoT) to facilitate learning, r...","url":"https://doi.org/10.1080/0951192x.2021.1959710","authors":["Yong‐Hong Kuo","Francesco Pilati","Ting Qu","George Q. Huang"],"tags":["Smart manufacturing","Systems engineering","Engineering","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-02","doi":"https://doi.org/10.1080/0951192x.2021.1959710","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4224214151","name":"Investigating Digital Twin: A Systematic Mapping Study","source":"openalex","abstract":"The term digital twin refers to a comprehensive digital representation of a physical system that serves as its real-time digital counterpart. Digital twin goes beyond traditional computer-aided applications and represents a two-way communication bridge between the physical and the digital worlds. In 2020, Gartner identified digital twin as one of the ten technology trends capable of a profound impact on modern society. While digital twin originates from the manufacturing domain, its recent underpinning technology maturation makes it suitable to all those domains where there is a need for studying virtual interactions with the physical environment. Despite its peak of research and adoption, there are still some grey areas related to certain aspects of digital twin such as enabling technologies and reported benefits. In this paper, we report on the planning, execution and results of a systematic mapping study, which aimed at providing a structured and detailed snapshot of the current application of digital twin, enabling technologies, reported benefits and application domains. Starting from an initial set of 675 publications, we identified 26 primary studies, which we have analysed through a rigorous data extraction, analysis and synthesis process. Based on the collected data, we drew relations between digital twin and the production domain.","url":"https://doi.org/10.3233/atde220164","authors":["Luka Guzina","Enxhi Ferko","Alessio Bucaioni"],"tags":["Computer science","Data science","Process (computing)","Representation (politics)","Underpinning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-20","doi":"https://doi.org/10.3233/atde220164","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7128969551","name":"AI-Driven Digital Twin Frameworks for Predictive Maintenance and Process Optimization in Smart Battery Manufacturing for Electric Vehicles","source":"openalex","abstract":"The increasing complexity and quality requirements of battery manufacturing demand intelligent, data-driven production frameworks capable of improving efficiency, reliability, and sustainability. Results demonstrate that the integration of predictive maintenance within the digital twin significantly reduces equipment downtime. Average monthly downtime decreased from 18.6 hours to 11.4 hours, accompanied by a reduction in variability, indicating improved operational stability. Accurate remaining useful life (RUL) prediction was achieved, with a strong correlation between predicted and actual degradation trends (R² ≈ 0.9+), supporting proactive maintenance planning and asset lifespan extension. Process quality improvements were further validated through a nearly 49% reduction in defect rates across production batches, highlighting the effectiveness of AI-driven parameter optimization. The framework also enhanced electrode coating thickness uniformity, reducing standard deviation from 7.8 µm to 3.0 µm while maintaining the target mean thickness, thereby improving electrochemical consistency and battery performance. Vibration-based anomaly detection enabled early fault identification, successfully detecting degradation progression prior to critical failure events. Reinforcement learning-based control demonstrated stable convergence, confirming its suitability for adaptive process optimization within a digital twin environment. Additionally, daily energy consumption was reduced by approximately 12–15% without compromising production throughput or quality. Comparative evaluation of multiple state-of-health (SOH) prediction models revealed that ensemble and attention-based architectures achieved superior accuracy and robustness. Overall, the results confirm that the proposed AI-driven digital twin framework provides a comprehensive solution for improving reliability, quality, energy efficiency, and decision-making in large-scale battery manufacturing systems.","url":"https://doi.org/10.32996/agjcsts.2024.3.1.4","authors":["Chapal Barua","Shamimur Rahman","Md Imrul Hasan","Kazi Rakib Hasan Saurav","Kazi Rezwana Alam","Jesmin Ul Zannat Kabir"],"tags":["Reliability engineering","Downtime","Predictive maintenance","Computer science","Battery (electricity)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-31","doi":"https://doi.org/10.32996/agjcsts.2024.3.1.4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3006591793","name":"TiLA: Twin-in-the-Loop Architecture for Cyber-Physical Production Systems","source":"openalex","abstract":"Digital twin is a virtual replica of a real-world object that lives simultaneously with its physical counterpart. Since its first introduction in 2003 by Grieves, digital twin has gained momentum in a wide range of applications such as industrial manufacturing, automotive and artificial intelligence. However, many digital-twin-related approaches, found in industries as well as literature, mainly focus on modelling individual physical things with high-fidelity methods with limited scalability. In this paper, we introduce a digital-twin architecture called TiLA (Twin-in-the-Loop Architecture). TiLA employs heterogeneous models and online data to create a digital twin, which follows a Globally Asynchronous Locally Synchronous (GALS) model of computation. It facilitates the creation of a scalable digital twin with different levels of modelling abstraction as well as giving GALS formalism for execution strategy. Furthermore, TiLA provides facilities to develop applications around the twin as well as an interface to synchronise the twin with the physical system through an industrial communication protocol. A digital twin for a manufacturing line has been developed as a case study using TiLA. It demonstrates the use of digital twin models together with online data for monitoring and analysing failures in the physical system.","url":"https://doi.org/10.1109/iccd46524.2019.00019","authors":["Heejong Park","Arvind Easwaran","Sidharta Andalam"],"tags":["Computer science","Architecture","Scalability","Automotive industry","Asynchronous communication"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-01","doi":"https://doi.org/10.1109/iccd46524.2019.00019","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4386934728","name":"Development of a Smart City Platform Based on Digital Twin Technology for Monitoring and Supporting Decision-Making","source":"openalex","abstract":"Information and communication technology’s role in developing smart city platforms has allowed cities to grow smarter in recent years. In order to develop a smart city platform, digital twin technology can be implemented to monitor and simulate the city’s conditions. Furthermore, it can function as a precise decision-support system. Digital twins can be combined with augmented reality technology to develop a smart city platform. The combination of these two technologies aims to visualize data for monitoring and simulating conditions in a city. The primary concern about the necessity of a digital twin platform in smart cities pertains to creating a robust digital twin-enabled smart city platform that can efficiently monitor urban conditions and provide significant insights for decision-making. Hence, this research aims to develop a smart city platform with digital twins as its foundation. This platform would enable real-time data visualization inside an environment that facilitates clear and effective information communication to users. The smart city platform development method is divided into four layers, namely developing (1) the basic layer that contains basic information about the city; (2) the 3D layer that contains the city’s 3D assets; (3) the digital twin layer for real-time data integration; (4) the augmented layer for augmenting the digital twin data. This research also proposes an architecture that will become the basis of the flow for the digital twin platform development. The result of developing the platform is a smart city platform based on a digital twin that can be used to monitor the condition of the city. This platform can be input for users or the community in planning their daily activities and can be decision support to the government in developing the city.","url":"https://doi.org/10.3390/su151814002","authors":["Ahmad Ali Hakam Dani","Suhono Harso Supangkat","Fetty Fitriyanti Lubis","I Gusti Bagus Baskara Nugraha","Rezky Kinanda","Irma Rizkia"],"tags":["Smart city","Computer science","Visualization","Application layer","Multitier architecture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-21","doi":"https://doi.org/10.3390/su151814002","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4392101436","name":"Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review","source":"openalex","abstract":"Recently, significant efforts have been made to create Health Digital Twins (HDTs), Digital Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which favors the effective application of HDTs. The clinical application of HDTs will be increasingly widespread in the future of healthcare services and has huge potential to form part of mainstream medicine. However, it requires the development of both models and algorithms for the analysis of medical data, and advances in Artificial Intelligence (AI)-based algorithms have already revolutionized image segmentation processes. Precise segmentation of lesions may contribute to an efficient diagnostics process and a more effective selection of targeted therapy. In this systematic review, a brief overview of recent achievements in HDT technologies in the field of cardiology, including interventional cardiology, was conducted. HDTs were studied taking into account the application of Extended Reality (XR) and AI, as well as data security, technical risks, and ethics-related issues. Special emphasis was put on automatic segmentation issues. In this study, 253 literature sources were taken into account. It appears that improvements in data processing will focus on automatic segmentation of medical imaging in addition to three-dimensional (3D) pictures to reconstruct the anatomy of the heart and torso that can be displayed in XR-based devices. This will contribute to the development of effective heart diagnostics. The combination of AI, XR, and an HDT-based solution will help to avoid technical errors and serve as a universal methodology in the development of personalized cardiology. Additionally, we describe potential applications, limitations, and further research directions.","url":"https://doi.org/10.3390/electronics13050866","authors":["Zofia Rudnicka","Klaudia Proniewska","Mark D. Perkins","Agnieszka Pręgowska"],"tags":["Computer science","Artificial intelligence","Health care","Mainstream","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-23","doi":"https://doi.org/10.3390/electronics13050866","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3203669238","name":"Assembly Process Knowledge Graph for Digital Twin","source":"openalex","abstract":"With the increasing complexity of mechanical products, assembly, as the last step of product manufacturing, is becoming more and more complicated. Therefore, the problems in the actual assembly process are difficult to be considered at the beginning of the design. In addition, the information measured at assembly site is also very important for the improvement of the assembly process design. The emergence of digital twin solves this problem well and provides the possibility for the transmission and feedback of assembly site information. However, the current digital twin data storage side mainly uses the traditional database, which leads to data redundancy. In recent years, the popular knowledge graph has powerful knowledge representation and reasoning ability, which can solve the above problems. In this paper, a digital twin system structure of assembly process based on knowledge graph is proposed, which is used to record actual process data. It provides a possibility for the combination of knowledge graph technology and digital twin technology.","url":"https://doi.org/10.1109/case49439.2021.9551554","authors":["Yukun Jiang","Changjiang Chen","Xiaojun Liu"],"tags":["Computer science","Graph","Redundancy (engineering)","External Data Representation","Theoretical computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-23","doi":"https://doi.org/10.1109/case49439.2021.9551554","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4415741374","name":"Operational resilience of additively manufactured parts to stealthy cyberphysical attacks using geometric and process digital twins","source":"openalex","abstract":"Cyberphysical attacks on the digital backbone of Additive Manufacturing (AM) can compromise the printed part’s functionality. They can alter features in the digital geometry to introduce geometric defects (e.g., missing fillets) or alter process parameters to create local defects (e.g., voids). Addressing the downtime, waste, and quality deterioration associated with existing solutions requires operational resilience, i.e., rapid elimination or disruption of defect formation (to retain part function) without production stoppage or part disposal (to retain yield). This need is unmet due to the inherently unpredictable nature of attack-induced alterations, lack of access to the original geometric model for identification of altered geometric features, and in-process imposition of unknown process dynamics via attack-driven alteration of real-time-uncontrolled (or exogenous) parameters. This work establishes the above-mentioned operational resilience for the first time by creating two Digital Twins (DT). The Geometric DT (Geo-DT) is based on a unique physical-field-driven soft sensor and topology optimization method. The Process Digital Twin (Pro-DT) combines local defect quantification with a novel Reinforcement Learning formulation and training method. The importance of these methodological advances and the scalability of our approach are examined on a real AM testbed. It is shown that Geo-DT can correct geometric defects without access to the original digital geometry or explicit knowledge of attack-altered geometric features. Further, Pro-DT can accelerate real-time disruption of local defects despite attack-driven imposition of unknown process dynamics. We discuss how our framework goes beyond the contemporary focus on pre-attack security and in-attack detection towards resilience for AM and beyond.","url":"https://doi.org/10.1016/j.jmsy.2025.10.009","authors":["Jeremy Cleeman","Adrian Jackson","Anandkumar Patel","Zihan Wang","Thomas Feldhausen","Chenhui Shao","Hongyi Xu","Rajiv Malhotra"],"tags":["Process (computing)","Resilience (materials science)","Engineering","Computer science","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-31","doi":"https://doi.org/10.1016/j.jmsy.2025.10.009","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4318473600","name":"Enhancing Digital Twins of Semi-Automatic Production Lines by Digitizing Operator Skills","source":"openalex","abstract":"In recent years, Industry 4.0 has provided many tools to replicate, monitor, and control physical systems. The purpose is to connect production assets to build cyber-physical systems that ensure the safety, quality, and efficiency of production processes. Particularly, the concept of digital twins has been introduced to create the virtual representation of physical systems where both elements are connected to exchange information. This general definition encompasses a series of major challenges for the developers of those functionalities. Among them is how to introduce the human perspective into the virtual replica. Therefore, this paper presents an approach for incorporating human factors in digital twins. This approach introduces a methodology to offer suggestions about employee rotations based on their previous performance during a shift. Afterward, this method is integrated into a digital twin to perform human performance assessments to manage workers’ jobs. Furthermore, the presented approach is mainly comprised of a human skills modelling engine and a human scheduling engine. Finally, for demonstrating the approach, a simulated serial single-product manufacturing assembly line has been introduced.","url":"https://doi.org/10.3390/app13031637","authors":["Angela Lago Alvarez","Wael M. Mohammed","Tuan H. Vu","Seyedamir Ahmadi","José L. Martínez Lastra"],"tags":["Computer science","Industry 4.0","Production line","Virtual representation","Software deployment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-27","doi":"https://doi.org/10.3390/app13031637","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4403279790","name":"Modular manufacturing and distributed control via interoperable digital twins","source":"openalex","abstract":"Reconfigurable Manufacturing Systems (RMSs) have been proposed to bolster resilience and to efficiently address rapid changes in customer needs. However, notable obstacles to their adoption still persist, such as insufficient integration into operations and inadequate incorporation of distributed control. In this paper, we present a 2-pillar conceptual architecture for enabling the operational integration of RMSs through interoperable Digital Twins (DTs) and propose avenues to enhance their capabilities with distributed and global intelligence technologies. To this end, utilizing DTs based on industrial standards promotes modularity and integrability. Moreover, it enables leveraging decision support methods and tools that may consider economic, energy and environmental aspects at different production levels (from machine level to the whole production system), thus offering a comprehensive framework to enhance adaptability, resilience, and sustainability in RMS.","url":"https://doi.org/10.1016/j.ifacol.2024.09.234","authors":["Pavlos Eirinakis","Benoît Iung","Ioannis Mourtos","Stathis Plitsos","Ljiljana Stojanović","George Triantafyllou","Aleaxandre Voisin"],"tags":["Interoperability","Modular design","Control (management)","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.ifacol.2024.09.234","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4379648710","name":"A digital twin-driven dynamic path planning approach for multiple automatic guided vehicles based on deep reinforcement learning","source":"openalex","abstract":"With the increasing demand for customization, the tendency of mechanical manufacturing has gradually shifted to flexible and mixed-line production, which brings new challenges to the existing scheduling pattern. As an indispensable part, logistics is responsible for establishing connections among various production equipment and processes. Meanwhile, the promotion of digital twin theory introduces an application schema for the logistics system. However, there is still a deficiency in the real-time dispatching and path planning of logistics equipment due to the uncontrollability of algorithm efficiency for complex scenes. To fill this gap, a digital twin-driven dynamic path planning approach for multiple automatic guided vehicles (AGVs) is proposed. Firstly, the AGVs are virtualized as the major component of logistics systems, while the ontology expression of logistics tasks is consistently accomplished as well. Secondly, the digital twin-driven application framework of multi-AGV dispatching is established. Moreover, a dynamic path planning method for AGVs relying on deep reinforcement learning is implemented. A segmented path planning method is illustrated considering potential route conflicts, which is regarded as the key contribution of the presented research. At last, a case study is illustrated to show the entire process of multiple vehicle path planning and conflict resolution.","url":"https://doi.org/10.1177/09544054231180513","authors":["Qiangwei Bao","Pai Zheng","Sheng Dai"],"tags":["Reinforcement learning","Computer science","Motion planning","Scheduling (production processes)","Path (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-06","doi":"https://doi.org/10.1177/09544054231180513","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4409500828","name":"Global perspectives on digital twin smart cities: Innovations, challenges, and pathways to a sustainable urban future","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.scs.2025.106356","authors":["Maira Alvi","Hrishikesh Dutta","Roberto Minerva","Noël Crespi","Syed Mohsan Raza","Manoj Herath"],"tags":["Economic geography","Regional science","Environmental planning","Architectural engineering","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-16","doi":"https://doi.org/10.1016/j.scs.2025.106356","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4383370286","name":"Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches","source":"openalex","abstract":"The paradigm shift from model-based to data-driven approaches in production logistics is radically transforming the manufacturing landscape. This paper delves into the profound implications of this transition, emphasizing the instrumental role of simulation and digital twins. Through an exhaustive literature review, the emerging trends in data-driven approaches and the driving forces behind this change are elucidated. A comparative case study is presented, contrasting the model-based approach, which employs predefined models and principles in simulations, with the innovative data-driven approach, which utilizes real-time data and machine learning for system monitoring and predictions in production logistics. The analysis reveals the heightened efficiency, adaptability, and effectiveness offered by data-driven approach, showcasing their superiority. Additionally, the prospective roles of AI, particularly large language models like ChatGPT, in enhancing data-driven production logistics are investigated. Exploratory scenarios envision the future trajectories of simulation and digital twin applications in this rapidly evolving field. This paper provides academia and industry with a comprehensive overview of the digitalization in production logistics, emphasizing the immense promise of data-driven approach and AI.","url":"https://doi.org/10.57062/ijpem-st.2023.0052","authors":["Yongkuk Jeong"],"tags":["Adaptability","Field (mathematics)","Data-driven","Production (economics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-01","doi":"https://doi.org/10.57062/ijpem-st.2023.0052","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4226517416","name":"An Agent-Based Architecture of the Digital Twin for an Emergency Department","source":"openalex","abstract":"The concept of Digital Twin (DT) seems promising to improve the management of patient pathways in Emergency Departments (EDs). This article proposes an agent-based architecture of a DT designed for that purpose. The core of this DT is its Information System (IS), which is regularly synchronised on the IS of the Physical Twin (PT). The agents model the ED’s resources (equipment and staff) and patients in the DT and update this information in the DT’s IS. This article shows how such a DT may operate in three modes: (0) “Digital Shadow” to monitor the ED’s current state in real time, (1) “Synchronised DT” to monitor the ED’s current and future states according to a predictive simulation, and (2) “Exploratory DT” in order to perform Monte Carlo simulations of various future states. Mode (1) is the main contribution. This proposition is illustrated in a simulation of the ED in order to demonstrate the capabilities.","url":"https://doi.org/10.3390/su15043412","authors":["Thierry Moyaux","Yinling Liu","Guillaume Bouleux","Vincent Cheutet"],"tags":["Shadow (psychology)","Architecture","Computer science","Order (exchange)","State (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-13","doi":"https://doi.org/10.3390/su15043412","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4387387449","name":"Swift feedback and immediate error control using a lightweight simulation approach – A case study of the digital-twin-in-the-loop for machining thin-wall structures","source":"openalex","abstract":"The field of Digital Twins is rapidly growing, with an emerging trend of using virtual representations to directly control process-related errors in manufacturing operations. This paper introduces the Digital-Twin-in-the-Loop that uniquely integrates the Digital Twin (DT) into the direct feedback loop of a notoriously error-prone machining operation of low-rigidity structures. The proposed approach bypasses the need for post-process workpiece measurements by utilizing the twin to estimate 3D deformations caused by machining forces and correcting the toolpath automatically. For the first time, a fast and process-oriented simulation method, based on a mass-spring-lattice model for “on-the-fly” monitoring of workpiece deflections, as well as a comparative scaling method are presented as the backbone of the Digital-Twin. As a case study an end-milling operation is considered, focusing on the correction of the toolpath to improve the surface profile of low-stiffness components which are prone to dimensional errors. Experimental results show that the proposed method significantly improves the geometrical accuracy of the machined surface with a good repeatability, reducing errors by 78.96%. This establishes the Digital-Twin-in-the-Loop as a relevant tool for the implementation of time-efficient machining environments, while maintaining rigorous accuracy through in-process monitoring.","url":"https://doi.org/10.1016/j.jmsy.2023.09.016","authors":["Mariam Abed","Andres Gameros","Abdelkhalick Mohammad","Dragoş Axinte","Dragos Axinte"],"tags":["Machining","Stiffness","Rigidity (electromagnetism)","Process (computing)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-05","doi":"https://doi.org/10.1016/j.jmsy.2023.09.016","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W2998749212","name":"Quality Management and Analysis of Aircraft Final Assembly Based on Digital Twin","source":"openalex","abstract":"Aircraft final assembly is one of the most important steps in the aircraft manufacturing process, and its quality determines the reliability and service life of the aircraft directly. Quality management, which involves numerous management systems, spans the entire aircraft production cycle, and requires the collaboration with multi-vendor and multi-sector. At present, there are still quite a few issues in quality management, such as multi-source heterogeneous data, non-uniform data exchange format, and long spending time. The aircraft Digital Twin is able to collect comprehensive quality data and continuously improve the information models and data analysis algorithms. This paper improves the quality management ability of the aircraft final assembly process effectively by establishing a virtual model based on AML, correlating data models of different domains to form a unified Digital Twin data source, and combining the use of data mining tools to locate quality problems accurately.","url":"https://doi.org/10.1109/ihmsc.2019.00054","authors":["Hongxia Cai","Wei Zhang","Zheng Zhu"],"tags":["Computer science","Process (computing)","Quality (philosophy)","Vendor","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-01","doi":"https://doi.org/10.1109/ihmsc.2019.00054","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4392761965","name":"Synthetic data generation for digital twins: enabling production systems analysis in the absence of data","source":"openalex","abstract":"Industry increasingly focuses on data-driven digital twins of production lines, especially for planning, controlling and optimising applications. However, the lack of open data on manufacturing systems presents a challenge to the development of new data-driven strategies. To fill this gap, the paper aim to introduce a strategy for generating random production lines and simulating their behaviour, thus enabling the generation of synthetic data. So far, such data can be recorded in event logs or machine status format, with the latter adopted for the use cases. To do so, the production lines are modelled using complex network concepts, with the system’s behaviour simulated via an algorithm in Python. Three use cases were assessed, in order to present possible applications. Firstly, the stabilisation of working, starved and blocked machines was investigated until a steady state was reached. The system behaviour was then investigated for different model parameters and simulation intervals. Finally, the production bottleneck behaviour (a phenomenon that can harm the production capacity of manufacturing systems) was statistically studied and described. The authors anticipate that this artificial and parametric data benchmark will enable the development of data-driven techniques without prior need for a real dataset.","url":"https://doi.org/10.1080/0951192x.2024.2322981","authors":["Paulo Victor Lopes","Leonardo Silveira","Roberto Douglas Guimarães de Aquino","Carlos Henrique Ribeiro","Anders Skoogh","Filipe Alves Neto Verri"],"tags":["Bottleneck","Computer science","Python (programming language)","Production (economics)","Synthetic data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-13","doi":"https://doi.org/10.1080/0951192x.2024.2322981","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4390819250","name":"Research on Framework of Smart Manufacturing Innovation Ecosystem Based on Digital Twins","source":"openalex","abstract":"Artificial intelligence (AI) is rapidly developing and constantly changing every aspect of society. China’s Smart Manufacturing Innovation Ecosystem (SMIE) is constantly evolving from germination to development with growth and optimization. The digital twin technology is used to analyze and diagnose the current situation in depth and predict the future direction with the help of data collection and big data analytics from the Internet of Things (IoT), which provides valuable reference information for the decision-making process. This article summarizes the SMIE and presents a set of smart manufacturing innovation ecosystem frameworks based on digital twins. The application of AI technology in smart manufacturing was analyzed for the value and significance of industrial manufacturing. The challenges in manufacturing were addressed with suggestions for smart manufacturing. A new framework of smart manufacturing supports smart manufacturing with corresponding strategies. The framework helps decision-making in smart manufacturing-related issues, and, at the same time, provides a wide range of applications in intelligent processing as a unified platform.","url":"https://doi.org/10.1109/ecice59523.2023.10383152","authors":["Min Yu"],"tags":["Ecosystem","Smart manufacturing","Computer science","Digital ecosystem","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-27","doi":"https://doi.org/10.1109/ecice59523.2023.10383152","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3126834501","name":"Distributed Manufacturing: A New Digital Framework for Sustainable Modular Construction","source":"openalex","abstract":"This paper explores the notion of the modular building construction site as an applied instance of redistributed manufacturing; in so doing, this research seeks to reduce the environmental footprint of building sites, treating them as small digitally connected subunits. In seeking to provide a whole lifecycle appreciation of a construction project, it is noted that the presence of a framework to provide guidance on the consideration of Internet of Things (IoT) data streams and connected construction objects is currently lacking. This paper proposes use of embedded IoT enabled sensing technology within all stages of a modular building lifecycle. An expanded four-phase model of intelligent assets use in construction is proposed along with an outline of the required data flows between the stages of a given building’s entire lifecycle that need to be facilitated for a BIM (Buildings Information Modelling) representation to begin to describe a building project as a sustainable asset within the circular economy. This paper also describes the use of concrete as a modular sensing structure; proposing that health monitoring of the material in situ along with the recoding of environmental factors over time could help to extend the longevity of such structures.","url":"https://doi.org/10.3390/su13031515","authors":["Christopher Turner","John Oyekan","Lampros Stergioulas"],"tags":["Modular design","Asset (computer security)","Building information modeling","Systems engineering","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-02-01","doi":"https://doi.org/10.3390/su13031515","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4401080039","name":"Evaluation of digital twin synchronization in robotic assembly using YOLOv8","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-024-14182-7","authors":["Md Tamid Bin Touhid","Enshen Zhu","Mohammad Vahid Ehteshamfara","Sheng Yang"],"tags":["Synchronization (alternating current)","Automation","Big data","Computer science","Cyber-physical system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-29","doi":"https://doi.org/10.1007/s00170-024-14182-7","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4293598193","name":"Real-Time Maintenance Policy Optimization in Manufacturing Systems: An Energy Efficiency and Emission-Based Approach","source":"openalex","abstract":"Within the frame of the Fourth Industrial Revolution, the application of Internet of Things technologies makes it possible to convert conventional manufacturing systems into cyber-physical systems, where the used new technologies enable the improvement of maintenance and operation processes. The aim of this work is to develop and validate a new real-time maintenance policy model and optimization algorithm based on digital twin simulation. The maintenance policy model is based on the conventional failure and operation data from ERP (enterprise resource planning) and the real-time and forecasted failure and operation data from digital twin simulation. The described maintenance policy model and its optimization algorithm represent an innovative way to manage predictive, preventive, corrective, and opportunistic maintenance strategies. The novelty of the presented method is that the real-time data generated by the digital twin solution allow the definition of a more accurate maintenance strategy. The optimization algorithm is characterized by a standard evolutionary algorithm. The impact of maintenance policy optimization on the energy efficiency and emission was analyzed in the case of both conventional and cyber-physical manufacturing systems with and without digital-twin-based simulation. The results showed that the energy consumption and the greenhouse gas emission in the real-time maintenance policy optimization scenario decreased by 21%, depending on the electricity generation source.","url":"https://doi.org/10.3390/su141710725","authors":["Ágota Bányai","Tamás Bányai"],"tags":["Predictive maintenance","Computer science","Cyber-physical system","Preventive maintenance","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-29","doi":"https://doi.org/10.3390/su141710725","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4385259356","name":"Digital Twin for Math Education: A Study on the Utilization of Games and Gamification for University Mathematics Education","source":"openalex","abstract":"Gamification has emerged as a promising strategy for engaging students and enhancing learning outcomes across various disciplines, including education. It involves incorporating game-like elements into non-game contexts to motivate and engage users. Extensive research has demonstrated the positive impact of gamification on student engagement, motivation, and learning outcomes in diverse subjects, including mathematics. Nevertheless, there is a paucity of research on the effectiveness of gamification in mathematics education. To bridge this gap, we investigated the effects of gamification in college mathematics education, with a specific emphasis on students from liberal arts backgrounds who may lack foundational mathematical knowledge. In this work, we designed and implemented a gamified mathematics course tailored for liberal arts students in a Korean university. Leveraging digital twin technology for game and gamification, we created an immersive learning environment that allows students to visualize mathematical concepts through games, pair gamification factors on physical and virtual worlds, and engage in interactive problem-solving activities. The effectiveness of this gamified course in improving students’ engagement, motivation, and learning outcomes was thoroughly evaluated. Digital twin technology, in conjunction with gamification, holds immense potential to revolutionize the way mathematics is taught and learned, making it more accessible, interactive, and engaging for students from diverse educational backgrounds.","url":"https://doi.org/10.3390/electronics12153207","authors":["Jung Yeop Lee","Chong Un Pyon","Jiyoung Woo"],"tags":["Liberal arts education","Mathematics education","Bridge (graph theory)","Student engagement","Metaverse"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-25","doi":"https://doi.org/10.3390/electronics12153207","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4411433210","name":"Blockchain Integration with Digital Twins for Supply Chain Optimization in Semiconductor Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-77723-3_12","authors":["Churchill A. R. Sandana","Shimon Y. Nof"],"tags":["Blockchain","Supply chain","Semiconductor device fabrication","Business","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-77723-3_12","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2920855711","name":"Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0","source":"openalex","abstract":"Many advanced product manufacturing approaches have been introduced in the market in recent years. Thus, it is critical to develop modern techniques which can effectively familiarize budding minds with the latest manufacturing procedures. In fact, the contemporary training methods and advanced education practices are crucial to uphold the interest of the new generation as well as to equip them with state-of the art systems. There is a need for innovative ideas and effective methodologies to inculcate the desired competency and prepare students for prospective manufacturing set ups. In the latest Industry 4.0 paradigm, visualization technologies, especially virtual reality, have been emphasized to sustainably train and educate young students. This work presents a technique for utilizing the leading visualization method based on virtual reality in product manufacturing. It aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS). The RMS has been a demanding topic for the novice and, most often, amateurs are not able to grasp and interpret it. Therefore, this paper outlines the various steps that can be useful for students in order to anticipate the RMS design, interact with it, understand its operation, and evaluate its performance.","url":"https://doi.org/10.3390/su11051477","authors":["Bashir Salah","Mustufa Haider Abidi","Syed Hammad Mian","Mohammed Krid","Hisham Alkhalefah","Ali Abdo"],"tags":["Virtual reality","GRASP","Visualization","Product (mathematics)","Augmented reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-03-11","doi":"https://doi.org/10.3390/su11051477","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4224273399","name":"Refined Simulation Method for Computer-Aided Process Planning Based on Digital Twin Technology","source":"openalex","abstract":"Simulation technology is widely used in computer-aided process planning (CAPP). The part machining process is simulated in the virtual world, which can predict manufacturing errors and optimize the process plan. Simulation accuracy is the guarantee of process decision-making and optimization. This article focuses on the use of digital twin technology to build a high-fidelity process model, taking the advantage of the integration of multiple systems, in order to achieve the dynamic association of real-time manufacturing data and process models. Making use of the CAPP/MES systems, the surface inspection data of the part is fed back to the CAPP system and associated with the digital twin process model. The wavelet transform method is used to reduce the noise of the high-frequency signal of the detection data, and the signal-to-noise ratio (SNR) is calculated to verify the noise reduction effect. The surface topography, after noise reduction, was reconstructed in Matlab. On this basis, the Poisson reconstruction algorithm is used to reconstruct the high-fidelity process model for the refined simulation of the subsequent processes. Finally, by comparing the two sets of simulation experiments with the real machining results, we found that the simulation results, based on the digital twin model, are more accurate than the traditional simulation method by 58%.","url":"https://doi.org/10.3390/mi13040620","authors":["Yupeng Xin","Yiwen Chen","Wenhui Li","Xiuhong Li","Fengfeng Wu"],"tags":["Process (computing)","Noise (video)","Computer science","MATLAB","Reduction (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-04-15","doi":"https://doi.org/10.3390/mi13040620","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4400525653","name":"Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-024-02453-9","authors":["Ossama Abou Ali Modad","Jason Ryska","Abdallah Chehade","Georges Ayoub"],"tags":["Stamping","Sheet metal","Manufacturing engineering","Production (economics)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-11","doi":"https://doi.org/10.1007/s10845-024-02453-9","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4281249425","name":"On sustainability and digital fabrication with concrete","source":"openalex","abstract":"Digital fabrication with concrete has been touted as an avenue to more sustainable construction through more material efficient design, but notably has produced materials with higher carbon footprints and a strong likelihood of reduced durability compared to standard construction. In this short article, a relationship to give a sense of the environmental impact of a structure is introduced, and it is emphasized that shape efficiency is the only unique environmental benefit that digital concrete brings. However, efforts should still continue to bring digital concrete more in line with standard concrete, especially through incorporation of large aggregates and better characterizing the durability. Finally, it is shown that while most 3D printed concretes appear to be overdesigned due to processing requirements, the use of aluminum based accelerators in a 2K system can be beneficial in decoupling buildability from structural strength, allowing greater freedom to lower carbon footprints in mix design.","url":"https://doi.org/10.1016/j.cemconres.2022.106837","authors":["Robert J. Flatt","Timothy Wangler"],"tags":["Durability","Decoupling (probability)","Sustainability","Fabrication","Sustainable design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-21","doi":"https://doi.org/10.1016/j.cemconres.2022.106837","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4386309507","name":"Digital Twin for Factories: Challenges and Industrial Applications","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-41163-2_13","authors":["Walter Terkaj","Massimiliano Annoni","Beatriz Martínez","Elena Pessot","Marco Sortino","Marcello Urgo"],"tags":["Factory (object-oriented programming)","Process (computing)","Computer science","Key (lock)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-31","doi":"https://doi.org/10.1007/978-3-031-41163-2_13","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3016082659","name":"Digitalization and the geographies of production: Towards reshoring or global fragmentation?","source":"openalex","abstract":"The relationship between digitalization and the governance and geographies of global value chains has not been explored systematically. This contribution discusses how digitalization affects the variables that determine the localization of manufacturing, i.e. the substitution of work through automation, the deepening of the customer–producer relationship, the rationalization of distribution through digitalized logistics networks, and the increased modularization of supply chains through standardization and ‘platformisation’. The results of the theoretical exploration defy expectations of a straightforward ‘reshoring’ of production through the combined effects of automation and benefits through a co-localization of companies within their target markets. Tendencies that would support a stronger integration of production in advanced economies are instead being undercut by ongoing countertrends towards fragmentation. The contradictory tendencies of a geographical integration of manufacturing and target markets on the one hand and geographical fragmentation through sophisticated supply-chain organization on the other will affect the technologically facilitated processes of value chain restructuring in a sector-specific manner.","url":"https://doi.org/10.1177/1024529420918160","authors":["Florian Butollo"],"tags":["Industrial organization","Restructuring","Supply chain","Business","Fragmentation (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-10","doi":"https://doi.org/10.1177/1024529420918160","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4210408226","name":"Development of a digital twin operational platform using Python Flask","source":"openalex","abstract":"Abstract The digital twin concept has developed as a method for extracting value from data, and is being developed as a new technique for the design and asset management of high-value engineering systems such as aircraft, energy generating plant, and wind turbines. In terms of implementation, many proprietary digital twin software solutions have been marketed in this domain. In contrast, this paper describes a recently released open-source software framework for digital twins, which provides a browser-based operational platform using Python and Flask. The new platform is intended to maximize connectivity between users and data obtained from the physical twin. This paper describes how this type of digital twin operational platform (DTOP) can be used to connect the physical twin and other Internet-of-Things devices to both users and cloud computing services. The current release of the software—DTOP-Cristallo—uses the example of a three-storey structure as the engineering asset to be managed. Within DTOP-Cristallo, specific engineering software tools have been developed for use in the digital twin, and these are used to demonstrate the concept. At this stage, the framework presented is a prototype. However, the potential for open-source digital twin software using network connectivity is a very large area for future research and development.","url":"https://doi.org/10.1017/dce.2022.1","authors":["Matthew S. Bonney","Marco de Angelis","Mattia Dal Borgo","Luís Andrade","Sándor Beregi","Nidhal Jamia","David Wagg"],"tags":["Python (programming language)","Computer science","Software","Cloud computing","Open platform"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1017/dce.2022.1","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4405974538","name":"Digital Entity Management Methodology for Digital Twin Implementation: Concept, Definition, and Examples","source":"openalex","abstract":"Many efforts to achieve cost savings through simulations have been ongoing in the cyber-physical system (CPS) industry and manufacturing field. Recently, the concept of digital twins has emerged as a promising solution for cost reduction in various fields, such as smart cities, factory optimization, architecture, and manufacturing. Digital twins offer enormous potential by continuously monitoring and updating data to study a wide range of issues and improve products and processes. However, the practical implementation of digital twins presents significant challenges. Additionally, while various studies have introduced the concepts and roles of digital twin systems and digital components, further research is needed to explore efficient operation and management strategies. This paper aims to present digital entity management methodology for the efficient implementation of digital twin systems. Our proposed class-level digital entity management methodology constructs complex and repetitively used digital entities into digital entity classes. This approach facilitates the abstraction, inheritance, and upcasting of digital entity classes. By leveraging class-level management and easily reusable and modifiable digital entities, the implementation of low-complexity digital twin systems becomes feasible. The proposed methodology aims to streamline the digital twin implementation process, addressing complex technical integration and practical implementation challenges.","url":"https://doi.org/10.1109/tbc.2024.3517138","authors":["Yegi Lee","Myung-Sun Baek","Kyoungro Yoon"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/tbc.2024.3517138","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2767459614","name":"Flexible Work Cell Simulator Using Digital Twin Methodology for Highly Complex Systems in Industry 4.0","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-319-70833-1_44","authors":["Pedro Tavares","Joao André Silva","Pedro Costa","Germano Veiga","António Paulo Moreira"],"tags":["Workflow","Flexibility (engineering)","Computer science","Automation","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2017-11-11","doi":"https://doi.org/10.1007/978-3-319-70833-1_44","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4386370153","name":"On the Role of Digital Twins in Data Spaces","source":"openalex","abstract":"Industry 4.0 supports the vision of networked machines in decentralized production plants across the value chain. Hence, it requires highly connected partners exchanging relevant data about products, processes, and production resources. This paper proposes the usage of data spaces and digital twins to enable this Industry 4.0 vision and investigates the building blocks to realize a data space for Industry 4.0, e.g., the integration of digital twins inside the data space based upon the latest specification of the Industry 4.0 Asset Administration Shell. A prototypical implementation shows the feasibility of storing product carbon footprints inside a digital twin and sharing it over a data space with other partners.","url":"https://doi.org/10.3390/s23177601","authors":["Friedrich Volz","Gerhard Sutschet","Ljiljana Stojanović","Thomas Usländer"],"tags":["Asset (computer security)","Space (punctuation)","Product (mathematics)","Production (economics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-01","doi":"https://doi.org/10.3390/s23177601","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4409609440","name":"Intelligent real-time tool life prediction for a digital twin framework","source":"openalex","abstract":"Abstract A key challenge in the machining manufacturing industry is real-time tool wear prediction, as conventional methods rely on conservative tool changes, causing premature replacement or excessive wear that risks failure, part damage, or poor surface quality. Monitoring and predicting the wear condition of a cutting tool is key to guarantee the cutting quality and saving costs. This study presents an AI-driven digital twin framework for real-time tool life prediction to address these limitations by integrating multiple modules. These modules include an on-machine direct inspection system, a seamless connectivity integration module for real-time data management, and a deep learning module for tool wear prediction. Long Short-Term Memory networks were trained, optimised and tested on a milling dataset to then deploy onto a real-time implementation of the digital twin framework. A comprehensive design of experiments (DOE) was used to validate the real-time tool life prediction framework of a dynamic milling toolpath strategy of a Ti-6Al-4 V alloy. The models were able to predict tool maximum flank wear based on sensor data from the machining tests DOE with RMSE of 33.17 µm, whilst the real-time implementation yielded a minimum of RMSE of 119.36 µm. These results motivate further research for enabling real-time closed-loop control for a future digital twin system implementation.","url":"https://doi.org/10.1007/s10845-025-02606-4","authors":["Javier Dominguez-Caballero","Sabino Ayvar-Soberanis","David Curtis"],"tags":["Computer science","Production (economics)","Real-time computing","Data mining","Macroeconomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-20","doi":"https://doi.org/10.1007/s10845-025-02606-4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4399830206","name":"Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40192-024-00360-8","authors":["Anh Tran","Max Carlson","Philip Eisenlohr","Hemanth Kolla","Warren Davis"],"tags":["Coalescence (physics)","Anomaly detection","Microstructure","Monte Carlo method","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-19","doi":"https://doi.org/10.1007/s40192-024-00360-8","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4400368686","name":"Digital Twin-Driven Dynamic Scheduling of Flexible Manufacturing System in the Context of Smart Factory Producing Brass Accessories","source":"openalex","abstract":"This study aims to deal with a dynamic scheduling problem of a real Flow Shop follow-up of an assembly process considering the specific constraints and requirements of a brass accessories manufacturing (BAM) company. We basically set up a Digital Twin-driven dynamic scheduling approach for Industry 4.0 by addressing uncertainties of machine availability. In fact, the setup of this Digital Twin (DT) is the outcome of the combination of both optimization and simulation. For the first step, we have elaborated a Mixed Integer Linear Programming (MILP) scheduling model by taking into account the dedicated requisites of our case study. Concerning simulation, a 3D simulation platform of a workshop producing brass accessories controlled by a Cyber-Physical Production System (CPPS) has been developed, in our previous work, including constraints and stochastic aspects. The simulation constraints are difficult or impossible to be modeled in the MILP model. These designs are integrated with the real workshop to construct the Digital Twin. The proposed tool enables the rescheduling of production orders based on machine disturbances and unpredictability. Validation scenarios have been designed and conducted to highlight the efficacy of the Digital Twin approach utilizing the brass accessories case study. We are confident that this represents the initial endeavor addressing the optimization of production rescheduling in a flow shop follow-up of a mixed assembly system.","url":"https://doi.org/10.1142/s2424862224500155","authors":["Ayoub Chakroun","Yasmina Hani","Abderrahman El Mhamedi","Faouzi Masmoudi","Abderrahmane Elmhamedi"],"tags":["Brass","Factory (object-oriented programming)","Scheduling (production processes)","Manufacturing engineering","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-05","doi":"https://doi.org/10.1142/s2424862224500155","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"oa:W4393118352","name":"Triboelectric Nanogenerator‐Enabled Digital Twins in Civil Engineering Infrastructure 4.0: A Comprehensive Review","source":"openalex","abstract":"The emergence of digital twins has ushered in a new era in civil engineering with a focus on achieving sustainable energy supply, real-time sensing, and rapid warning systems. These key development goals mean the arrival of Civil Engineering 4.0.The advent of triboelectric nanogenerators (TENGs) demonstrates the feasibility of energy harvesting and self-powered sensing. This review aims to provide a comprehensive analysis of the fundamental elements comprising civil infrastructure, encompassing various structures such as buildings, pavements, rail tracks, bridges, tunnels, and ports. First, an elaboration is provided on smart engineering structures with digital twins. Following that, the paper examines the impact of using TENG-enabled strategies on smart civil infrastructure through the integration of materials and structures. The various infrastructures provided by TENGs have been analyzed to identify the key research interest. These areas encompass a wide range of civil infrastructure characteristics, including safety, efficiency, energy conservation, and other related themes. The challenges and future perspectives of TENG-enabled smart civil infrastructure are briefly discussed in the final section. In conclusion, it is conceivable that in the near future, there will be a proliferation of smart civil infrastructure accompanied by sustainable and comprehensive smart services.","url":"https://doi.org/10.1002/advs.202306574","authors":["Yafeng Pang","Tianyiyi He","Shuainian Liu","Xingyi Zhu","Chengkuo Lee"],"tags":["Triboelectric effect","Nanogenerator","Key (lock)","Sustainable energy","Civil infrastructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-22","doi":"https://doi.org/10.1002/advs.202306574","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4387139840","name":"Digital twin-enabled process control in the food industry: proposal of a framework based on two case studies","source":"openalex","abstract":"Nowadays many processes in the food industry are monitored in an automatic way, with the purpose of minimising the need for workforce and of ensuring the proper control of the quality and safety of the foodstuff. All the sensors share data with a centralised management unit, where often a Manufacturing Execution System collects and evaluates them. As reported in recent research, however, a further step that can be undertaken, exploiting Industry 4.0 enabling technologies, is the implementation of digital twin approaches, with the additional aim to prevent possible issues during production. In line with these considerations, this work aims at showing two different digital twin models intended for improving the control of as many real food systems. Liquid and powder fluids are taken as examples for highlighting the differences in the optimization of the two food processes, as well as for fully exploring the potential of the digital twin approach. Finally, based on the real data taken from two pilot plants, a framework for the selection of the best digital twin tool in the food sector is delineated.","url":"https://doi.org/10.1080/00207543.2023.2260495","authors":["Giovanni Paolo Carlo Tancredi","Eleonora Bottani","Giuseppe Vignali"],"tags":["Process (computing)","Manufacturing engineering","Food industry","Control (management)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-28","doi":"https://doi.org/10.1080/00207543.2023.2260495","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3086667202","name":"Emerging Technologies Based and Digital Twin Driven Inclusive Manufacturing System","source":"openalex","abstract":"In the last few decades, several emerging technologies have come into existence, and their execution in the manufacturing sector is recognised as Industry 4.0. Always, a significant gap is observed between the developed and developing economies, especially the manufacturing aspect. Changes in the environmental and societal policies take place to meet the presumed industrial contribution. Therefore, an inclusive manufacturing system (IMS) has been proposed by immersing the sustainability factors with shifting technological advancements. This paper proposes a framework envisioning the digital twin driven manufacturing systems by incorporating a mathematical representation of inclusive manufacturing (IM) factors. A simulated case study of the manufacturing of a gate valve is presented for supporting the proposed concept.","url":"https://doi.org/10.1504/ijism.2020.10031984","authors":["BISWAJIT MAHANTY","Ankit Barde","Sube Singh","Manoj Kumar Tiwari"],"tags":["Sustainability","Manufacturing engineering","Emerging markets","Business","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1504/ijism.2020.10031984","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2942852626","name":"Additive manufacturing of polymer composites: Processing and modeling approaches","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compositesb.2019.04.029","authors":["A. El Moumen","Mostapha Tarfaoui","K. Lafdi"],"tags":["Materials science","Homogenization (climate)","3D printing","Ceramic","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-05-01","doi":"https://doi.org/10.1016/j.compositesb.2019.04.029","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4385575753","name":"The Industrial Digital Energy Twin as a Tool for the Comprehensive Optimization of Industrial Processes","source":"openalex","abstract":"Industrial manufacturing processes have evolved and improved since the disruption of the Industry 4.0 paradigm, while energy has progressively become a strategic resource required to maintain industrial competitiveness while maximizing quality and minimizing environmental impacts. In this context of global changes leading to social and economic impact in the short term and an unprecedented climate crisis, Digital Twins for Energy Efficiency in manufacturing processes provide companies with a tool to address this complex situation. Nevertheless, already existing Digital Twins applied for energy efficiency in a manufacturing process lack a flexible structure that easily replicates the real behavior of consuming machines while integrating it in complex upper-level environments. This paper presents a combined multi-paradigm approach to industrial process modeling developed and applied during the GENERTWIN project. The tool allows users to predict energy consumption and costs and, at the same time, evaluates the behavior of the process under certain productive changes to maximize consumption optimization, production efficiency and process flexibility.","url":"https://doi.org/10.3390/pr11082353","authors":["Alejandro Rubio-Rico","Fernando Mengod-Bautista","Andrés Lluna-Arriaga","B. Arroyo-Torres","Vicente Fuster-Roig"],"tags":["Flexibility (engineering)","Energy consumption","Process (computing)","Resource efficiency","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-04","doi":"https://doi.org/10.3390/pr11082353","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4366316372","name":"Digitalization: a tool for the successful long-term adoption of lean manufacturing","source":"openalex","abstract":"The lean manufacturing benefits are well documented in literature for different types of industries. However, data acquisition and computation are the basic difficulties or pain points in developing value stream maps to find different types of waste. Industrial internet of things (IIoT) and digital twin enable fast, and dynamic data acquisition and computation with ease. This paper presents digitalization as a tool for the successful adoption of lean manufacturing through real-time data acquisition and computation. The proposed solution incorporates smart low-cost sensor-based data acquisition with a unified dashboard for operational and strategic decision making. The implementation of the proposed unified system is demonstrated through the development of a digital twin and a dynamic dashboard for a modular production system (MPS) assembly line. The dynamic data integration through the deployment of IIoT synchronizes the physical system to dashboard and digital system. The unified dashboard supports effective and timely decision making, especially for shop floors with alternate process plan configurations. The adoption of the proposed solution in an MPS assembly line demonstrates the capability of the architecture as a robust decision support system.","url":"https://doi.org/10.1016/j.procir.2023.02.042","authors":["Suveg V Iyer","Kuldip Singh Sangwan","Dhiraj"],"tags":["Value stream mapping","Dashboard","Software deployment","Modular design","Data acquisition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/j.procir.2023.02.042","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4413396076","name":"End-to-End Digital Twin Software for Continuous Mrna Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.5399844","authors":["Mohammed Aatif Shahab","Nathan Merica Stover","Hasan Al-Mahayni","Prakitr Srisuma","Jie Wang","Sunkyu Shin","Anish Dighe","Bernhardt L. Trout","Allan S. Myerson","Richard D. Braatz"],"tags":["End-to-end principle","Software","Computer science","Business","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.2139/ssrn.5399844","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4285393764","name":"Implementation of a holistic digital twin solution for design prototyping and virtual commissioning","source":"openalex","abstract":"Abstract Industry 4.0 has ushered in a new era of digital manufacturing and in this context, digital twins are considered as the next wave of simulation technologies. The development and commissioning of Cyber Physical Systems (CPS) is taking advantage of these technologies to improve product quality while reducing costs and time to market. However, existing practices of virtual design prototyping and commissioning require the cooperation of domain specific engineering fields. This involves considerable effort as development is mostly carried out in different departments using vendor specific simulation tools. There is still no integrated simulation environment commercially available, in which all engineering disciplines can work collaboratively. This presents a major challenge when interlinking virtual models with their physical counterparts. This paper therefore addresses these challenges by implementing a holistic and vendor agnostic digital twin solution for design prototyping and commissioning practices. The solution was tested in an industrial use case, in which the digital twin effectively prototyped cost‐efficient solar assembly lines.","url":"https://doi.org/10.1049/cim2.12058","authors":["Miriam Ugarte","Miren Illarramendi","Gorka Unamuno","Jose Luis Bellanco","Eneko Ugalde","Antonio Valor Valor"],"tags":["Vendor","Project commissioning","Virtual prototyping","Context (archaeology)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-13","doi":"https://doi.org/10.1049/cim2.12058","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3135174053","name":"Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line’s Digital Twin by Using Color Sensor","source":"openalex","abstract":"This paper deals with the design and implementation of a universal cyber-physical model capable of simulating any production process in order to optimize its logistics systems. The basic idea is the direct possibility of testing and debugging advanced logistics algorithms using a digital twin outside the production line. Since the digital twin requires a physical connection to a real line for its operation, this connection is substituted by a modular cyber-physical system (CPS), which replicates the same physical inputs and outputs as a real production line. Especially in fully functional production facilities, there is a trend towards optimizing logistics systems in order to increase efficiency and reduce idle time. Virtualization techniques in the form of a digital twin are standardly used for this purpose. The possibility of an initial test of the physical implementation of proposed optimization changes before they are fully implemented into operation is a pragmatic question that still resonates on the production side. Such concerns are justified because the proposed changes in the optimization of production logistics based on simulations from a digital twin tend to be initially costly and affect the existing functional production infrastructure. Therefore, we created a universal CPS based on requirements from our cooperating manufacturing companies. The model fully physically reproduces the real conditions of simulated production and verifies in advance the quality of proposed optimization changes virtually by the digital twin. Optimization costs are also significantly reduced, as it is not necessary to verify the optimization impact directly in production, but only in the physical model. To demonstrate the versatility of deployment, we chose a configuration simulating a robotic assembly workplace and its logistics.","url":"https://doi.org/10.3390/s21051842","authors":["Ján Vachálek","Dana Šišmišová","Pavol Vašek","Ivan Fiťka","Juraj Slovák","Matej Šimovec"],"tags":["Production line","Cyber-physical system","Computer science","Production (economics)","Debugging"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-06","doi":"https://doi.org/10.3390/s21051842","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4200438328","name":"Twin Transition through the Implementation of Industry 4.0 Technologies: Desk-Research Analysis and Practical Use Cases in Europe","source":"openalex","abstract":"Key Enabling Technologies (KET) support the adoption of Industry 4.0 (I4.0) and are also considered the main drivers of the Circular Economy (CE) transition. In this respect, the guidelines and real use cases to inspire enterprises and industry to lead the twin digital and green transition are still poor. This work is aimed at contributing to this matter, with twofold goals: on the one hand, to show a depth desk-research analysis of the key existing policies at European level that foster this twin digital and green transition; on the other hand, to review practical use cases and international projects where CE practices are boosted through the implementation of KET. From the analysis, a set of recommendations are suggested as a guide for policymakers, researchers, and industry managers on how to foster the CE through the implementation of I4.0 technologies.","url":"https://doi.org/10.3390/su132413601","authors":["Juan José Ortega Gras","M. V. Bueno-Delgado","Gregorio Cañavate-Cruzado","Josefina Garrido-Lova"],"tags":["Desk","Key (lock)","Work (physics)","Transition (genetics)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-09","doi":"https://doi.org/10.3390/su132413601","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3101145469","name":"Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics","source":"openalex","abstract":"Artificial Intelligence (AI) is escalating in data-driven condition monitoring research. Traditional expert knowledge-based Prognostics and Health Management (PHM) processes can be smartened up with the assistance of various AI techniques, such as deep learning models. On the other hand, current deep learning based prognostics suffers from the data deficit issue, especially considering the varying operating conditions and the degradation modes of the components in practical industrial applications. With the development of simulation techniques, physical-knowledge based digital twin models give engineers access to a large amount of simulation data at a lower cost. These simulation data contain the physical characteristics and the degradation information of the component. In order to accurately predict the Remaining Useful Life (RUL) during the degradation process, in this paper, a bearing digital twin model is constructed based on a phenomenological vibration model. A Domain Adversarial Neural Network (DANN) is used to achieve the domain adaptation target between the simulation and the real data. Regarding the simulation data as the source domain and real data as the target domain, the DANN model is able to predict the RUL without any priori knowledge of the labelling information. Based on real bearing run-to-failure experiments, the performance of the proposed method is validated with high RUL prediction accuracy.","url":"https://doi.org/10.36001/phmconf.2020.v12i1.1294","authors":["Chenyu Liu","Alexandre Mauricio","Junyu Qi","Dandan Peng","Konstantinos Gryllias"],"tags":["Prognostics","Rolling-element bearing","Artificial intelligence","Computer science","Domain knowledge"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-03","doi":"https://doi.org/10.36001/phmconf.2020.v12i1.1294","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4220887361","name":"The Potential for Digital Twin Applications in Railway Infrastructure Management","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-96794-9_22","authors":["Gerhardus Christiaan Doubell","Karel Kruger","Anton Basson","Pieter Conradie"],"tags":["Aviation","Implementation","Aerospace","Engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1007/978-3-030-96794-9_22","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4226298061","name":"Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes","source":"openalex","abstract":"In industrial manufacturing, a production process usually consists of multiple manufacturing steps during the transformation of raw material into a complete product. Depending on varying product specifications, the production process may differ within the performed manufacturing steps and within the definition of process ”normality”, which refers to the multi-dimensional sensor data captured during the manufacturing process. Process Mining offers excellent process discovery and monitoring capabilities; however, it relies on well-defined event logs. In Industry 4.0 manufacturing, this requirement poses a significant challenge as data commonly generates by a range of low-level sensor measurements, i.e. process-state data such as temperature or humidity and product-state data such as quality measurements or material compositions. In this paper, we investigate the applicability of Process Mining methodologies in combination with concepts of data-driven Digital Twins to discover and monitor process control-flow. We introduce a concept called self-discovering and event-log-aware Digital control-flow Twins to bridge the gap of Process Mining, Digital Twins and continuous process data. We overcome the abstraction gap by generating discrete event logs backed by descriptive statistics of reoccurring process-state characteristics using unsupervised clustering. Our approach does not rely on preexisting information of manufacturing processes in the form of discrete event logs, making it suitable for various information systems that incorporate cyclic process behaviour.","url":"https://doi.org/10.1016/j.procs.2022.01.345","authors":["Michael Mayr","Sabrina Luftensteiner","Georgios C. Chasparis"],"tags":["Computer science","Process mining","Process (computing)","Event (particle physics)","Process modeling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procs.2022.01.345","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4306392963","name":"Virtual Engineering and Commissioning to Support the Lifecycle of a Manufacturing Assembly System","source":"openalex","abstract":"Prior to the physical build of the industrial automation system, some challenges arise, such as processes’ cycle times calculations, ergonomics and safety evaluation, and the integration of separate machines to the complete production shops. This, in turn, requires reconfiguring the processes and component parameters. As a result, the lifecycle of the system development is prolonged, and the potential for erroneous performance increases. In modern digital manufacturing environments, virtual engineering (VE) and virtual commissioning (VC) serve as effective tools to tackle the aforementioned problems and their consequences. The virtual models developed for VE and VC not only assist system developers in the physical build stage but also in the following stages of the system lifecycle by providing a common virtual model, a digital twin (DT), of the manufacturing processes and the product. This developed model should possess the ability to simulate the system behaviour, e.g., the mechanics, kinematics, speed and acceleration profiles. Three stakeholders are involved in the development process: the machine builder, system integrator and end user. The current work focuses on the virtual engineering approach to support the entire lifecycle of a manufacturing system from the machine builder, system integrator and end user perspectives. For this purpose, it puts forward a systematic methodology of implementing VC and VE using a toolset developed by the Automation Systems Group at the University of Warwick within an industrial project. The suggested methodology is illustrated in a case study where a digital twin of a physical station was modelled, developed and tested in parallel with the physical machine development and build. Finally, the benefits and limitations are highlighted based on the gained outcomes and the implemented activities.","url":"https://doi.org/10.3390/machines10100939","authors":["Sergey Konstantinov","Fadi Assad","Bilal Ahmad","Daniel Vera","Robert Harrison"],"tags":["Automation","Process (computing)","System lifecycle","Systems engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-16","doi":"https://doi.org/10.3390/machines10100939","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4403818661","name":"A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ijpe.2024.109447","authors":["Jongsuk Lee","Ping Chong Chua","Bufan Liu","Seung Ki Moon","Manuel Carlos Palomeque López"],"tags":["Computer science","Production (economics)","Process management","Human–computer interaction","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.1016/j.ijpe.2024.109447","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4311504925","name":"Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranostics via computational nuclear oncology","source":"openalex","abstract":"This work emphasizes that patient data, including images, are not operable (clinically), but that digital twins are. Based on the former, the latter can be created. Subsequently, virtual clinical operations can be performed towards selection of optimal therapies. Digital twins are beginning to emerge in the field of medicine. We suggest that theranostic digital twins (TDTs) are amongst the most natural and feasible flavors of digitals twins. We elaborate on the importance of TDTs in a future where 'one-size-fits-all' therapeutic schemes, as prevalent nowadays, are transcended in radiopharmaceutical therapies (RPTs). Personalized RPTs will be deployed, including optimized intervention parameters. Examples include optimization of injected radioactivities, sites of injection, injection intervals and profiles, and combination therapies. Multi-modal multi-scale images, combined with other data and aided by artificial intelligence (AI) techniques, will be utilized towards routine digital twinning of our patients, and will enable improved deliveries of RPTs and overall healthcare.","url":"https://doi.org/10.3389/fonc.2022.1062592","authors":["Arman Rahmim","Julia Brosch-Lenz","Ali Fele‐Paranj","Fereshteh Yousefirizi","M. Soltani","Carlos Uribe","Babak Saboury"],"tags":["Medicine","Personalized medicine","Scale (ratio)","Precision medicine","Medical physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-15","doi":"https://doi.org/10.3389/fonc.2022.1062592","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4401922994","name":"A Fingerprint Approach for Computationally Efficient Digital Twins of Precision Manufacturing Processes","source":"openalex","abstract":"Over the past decade, digital twin (DT) technology has seen significant advancements, enabling it to effectively address complex manufacturing challenges. However, the effectiveness of data-driven DTs is hindered by the sheer volume of data generated by sensors and devices which limits the traditional computational resources causing latency issues. To address this challenge, there is an urgent need to optimize data processing and ensure real-time responsiveness in DT applications. This paper presents a novel fingerprint-driven approach aimed at building computationally efficient DTs for smart manufacturing. When embedded within the DT framework, process and product fingerprints capture the essential manufacturing parameters while reducing the overall computational overhead of the DT. A case study on machining Inconel 718 for a high-fatigue application demonstrates the practical application of the proposed approach in ensuring computational efficiency. When compared to conventional machine learning (ML) methods, the fingerprint approach exhibited substantially superior performance in terms of responsiveness (20 times less latency) and prediction accuracy (3% more accurate).","url":"https://doi.org/10.1051/matecconf/202440113004","authors":["Abhilash Puthanveettil Madathil","Xichun Luo","Qi Liu","Rajeshkumar Madarkar","Charles Walker"],"tags":["Fingerprint (computing)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1051/matecconf/202440113004","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4361297885","name":"DTUMOS, digital twin for large-scale urban mobility operating system","source":"openalex","abstract":"The advancement of digital twin technology has significantly impacted the utilization of virtual cities in the realm of smart cities and mobility. Digital twins provide a platform for the development and testing of various mobility systems, algorithms, and policies. In this research, we introduce DTUMOS, a digital twin framework for urban mobility operating systems. DTUMOS is a versatile, open-source framework that can be flexibly and adaptably integrated into various urban mobility systems. Its novel architecture, combining an AI-based estimated time of arrival model and vehicle routing algorithm, allows DTUMOS to achieve high-speed performance while maintaining accuracy in the implementation of large-scale mobility systems. DTUMOS exhibits distinct advantages in terms of scalability, simulation speed, and visualization compared to current state-of-the-art mobility digital twins and simulations. The performance and scalability of DTUMOS are validated through the use of real data in large metropolitan cities including Seoul, New York City, and Chicago. DTUMOS' lightweight and open-source environment present opportunities for the development of various simulation-based algorithms and the quantitative evaluation of policies for future mobility systems.","url":"https://doi.org/10.1038/s41598-023-32326-9","authors":["Hyeokju Yeon","Taebum Eom","Kitae Jang","Jiho Yeo"],"tags":["Computer science","Scale (ratio)","Cartography","Geography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-29","doi":"https://doi.org/10.1038/s41598-023-32326-9","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4381051795","name":"Digital twin-enabled adaptive scheduling strategy based on deep reinforcement learning","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11431-022-2413-5","authors":["Xuemei Gan","Ying Zuo","Ansi Zhang","Shaobo Li","Fei Tao"],"tags":["Computer science","Reinforcement learning","Dynamic priority scheduling","Two-level scheduling","Fair-share scheduling"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-14","doi":"https://doi.org/10.1007/s11431-022-2413-5","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3047942585","name":"User centered development of a Digital Twin concept with focus on sustainability in the clothing industry","source":"openalex","abstract":"The optimization of a product's socio-economic and environmental impact is gaining more relevance for customers and regulating institutions. Still, there is a gap between sustainable attitude and behavior. In this context, new technologies are explored to stimulate sustainable consumers' behavior. This paper aims at analyzing the concept of a Digital Twin and its sustainability impact. The authors present a user centered development of a Digital Clothing Twin with the aim to foster sustainability in the Mid-of-life and End-of-Life-phase. The sustainability impact of the Digital Twin concept as a potential solution as well as part of the problem is discussed.","url":"https://doi.org/10.1016/j.procir.2020.01.123","authors":["Theresa Riedelsheimer","Lisa Dorfhuber","Rainer Stark"],"tags":["Sustainability","Clothing","Context (archaeology)","Relevance (law)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.01.123","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7162771224","name":"A state-of-the-art survey on cognitive digital twins for resilient and sustainable manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-026-02886-4","authors":["Yimou Pan","C Y J Chen","Kendrik Yan Hong Lim","Tao Peng","Kamal Youcef-Toumi"],"tags":["Adaptability","Context (archaeology)","Engineering","Knowledge management","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-29","doi":"https://doi.org/10.1007/s10845-026-02886-4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4313435937","name":"Digital Twin for a Collaborative Painting Robot","source":"openalex","abstract":"A collaborative painting robot that can be used as an alternative to workers has been developed using a digital twin framework and its performance was demonstrated experimentally. The digital twin of the automatic painting robot simulates the entire process and estimates the paint result before the real execution. An operator can view the simulated process and result with an option to either confirm or cancel the task. If the task is accepted, the digital twin generates all the parameters, including the end effector trajectory of the robot, the material flow to the collaborative robot, and a spray mechanism. This ability means that the painting process can be practiced in a virtual environment to decrease set costs, waste, and time, all of which are highly demanded in single-item production. In this study, the screen was fixtureless and, thus, a camera was used to capture it in a physical environment, which was further analyzed to determine its pose. The digital twin then builds the screen in real-time in a virtual environment. The communication between the physical and digital twins is bidirectional in this scenario. An operator can design a painting pattern, such as a basic shape and/or letter, along with its size and paint location, in the resulting procedure. The digital twin then generates the simulation and expected painting result using the physical twin's screen pose. The painting results show that the root mean square error (RMSE) of the painting is less than 1.5 mm and the standard deviation of RMSE is less than 0.85 mm. Additionally, the initial benefits of the technique include lower setup costs, waste, and time, as well as an easy-to-use operating procedure. More benefits are expected from the digital twin framework, such as the ability of the digital twin to (1) find a solution when a fault arises, (2) refine the control or optimize the operation, and (3) plan using historic data.","url":"https://doi.org/10.3390/s23010017","authors":["Ratchatin Chancharoen","Kantawatchr Chaiprabha","Lunchakorn Wuttisittikulkij","Widhyakorn Asdornwised","Muhammad Saadi","Gridsada Phanomchoeng"],"tags":["Robot","Painting","Process (computing)","Computer science","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-20","doi":"https://doi.org/10.3390/s23010017","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4394992912","name":"A data and knowledge driven autonomous intelligent manufacturing system for intelligent factories","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.04.011","authors":["Han Wang","Chenze Wang","Qing Liu","Qing Liu","Xiaohan Zhang","Min Liu","Yumin Ma","Feng Yan","Weiming Shen"],"tags":["Computer science","Knowledge management","Factory (object-oriented programming)","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-22","doi":"https://doi.org/10.1016/j.jmsy.2024.04.011","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2972285628","name":"Representing financial data streams in digital simulations to support data flow design for a future Digital Twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2019.101853","authors":["Adrian Murphy","Chris Taylor","Clive Acheson","Joseph Butterfield","Yan Jin","Paul Higgins","Rory Collins","Colm Higgins"],"tags":["Cash flow","Computer science","Production (economics)","Finance","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-09-05","doi":"https://doi.org/10.1016/j.rcim.2019.101853","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4392972190","name":"Forging the Industrial Metaverse for Industry 5.0: Where Extended Reality, IIoT, Opportunistic Edge Computing, and Digital Twins Meet","source":"openalex","abstract":"The Industrial Metaverse can benefit from the concepts fostered by Industry 5.0, since it implies making use of dynamic and up-to-date content, as well as fast human-to-machine interactions. To enable such enhancements, this article proposes the concept of Meta-Operator, which is essentially an industrial worker that follows the principles of Industry 5.0 and interacts with Industrial Metaverse applications and with his/her surroundings through advanced Extended Reality (XR) devices. In order to build the foundations of future Meta-Operators, this article provides a thorough description of the main technologies that support such a concept: the main components of the Industrial Metaverse, the latest XR technologies and accessories and the use of Opportunistic Edge Computing (OEC) communications (to detect and interact with the surrounding Internet of Things (IoT) and Industrial IoT (IIoT) devices). Moreover, this paper analyzes how to create the next generation of Industrial Metaverse applications based on the Industry 5.0 concepts, including the most relevant standardization initiatives, the integration of AR/MR devices with IoT/IIoT solutions, the development of advanced communications and software architectures and the creation of shared experiences and opportunistic collaborative protocols. Finally, this article provides an extensive list of potential Industry 5.0 applications for the Industrial Metaverse and analyzes thoroughly the main challenges and research lines. Thus, this article provides a holistic view and useful guidelines for the future developers and researchers that will create the next generation of applications for the Industrial Metaverse.","url":"https://doi.org/10.1109/access.2024.3422109","authors":["Tiago M. Fernández‐Caramés","Paula Fraga‐Lamas"],"tags":["Metaverse","Augmented reality","Computer science","Virtual reality","Enhanced Data Rates for GSM Evolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3422109","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7127330336","name":"A digital twin framework for circular economy and operational excellence in textile manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-026-17437-7","authors":["Anaiz Gul Fareed","Antonella Petrillo","Fabio De Felice"],"tags":["Circular economy","Engineering","Traceability","Textile industry","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-03","doi":"https://doi.org/10.1007/s00170-026-17437-7","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4286495508","name":"In-process identification of milling parameters based on digital twin driven intelligent algorithm","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-022-09685-0","authors":["Charles Ming Zheng","Lu Zhang","Yaw-Hong Kang","Youji Zhan","Yongchao Xu"],"tags":["Machining","Process (computing)","Convolution (computer science)","Algorithm","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-21","doi":"https://doi.org/10.1007/s00170-022-09685-0","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4390350136","name":"Circular economy in construction: The digital transformation perspective","source":"openalex","abstract":"This systematic review critically examines the intersection of digital transformation and circular economy (CE) principles within the built environment. While digitalisation has been shown to enhance efficiency, safety, and sustainability in construction, its role in fostering circularity is less established. This study analyzes literature from 2010 to 2022, focusing on how digital technologies such as open-BIM, digital twins, material passports, blockchain, RFID, and gamification can integrate into and enhance the circular building lifecycle. The findings reveal that while digital tools are pivotal in design and construction phases, their application to existing structures is less straightforward, with challenges including the absence of digital twins for demolished structures, the high costs of retrofit digitalisation, and the predominant focus on environmental benefits over practical implementation. The review also highlights the need for a unified digital transformation strategy and greater cross-industry collaboration. Future research directions are proposed, including the development of localized material banks, the application of RFID in circularity, the scope of Design for Disassembly (DfD) tools, digital inventory of existing buildings, the circularity of Life Cycle Assessment (LCA) databases, and policy implications for promoting circular construction practices.","url":"https://doi.org/10.1016/j.clet.2023.100715","authors":["Saeed Banihashemi","Senada Meskin","Moslem Sheikhkhoshkar","Saeed Reza Mohandes","Aso Hajirasouli","Khuong LeNguyen"],"tags":["Circular economy","Scope (computer science)","Digital transformation","Sustainability","Intersection (aeronautics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-28","doi":"https://doi.org/10.1016/j.clet.2023.100715","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4414025600","name":"Exploring Digital Twin Applications in Saudi Manufacturing Companies: Impediments and Opportunities","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-99356-5_8","authors":["Samah Alharthi","Fatima Almaghrabi"],"tags":["Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-05","doi":"https://doi.org/10.1007/978-3-031-99356-5_8","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"oa:W2015953832","name":"Additive Manufacturing for product improvement at Red Bull Technology","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.matdes.2012.05.017","authors":["David E. Cooper","Mark Stanford","Kevin Kibble","Gregory J. Gibbons"],"tags":["Direct metal laser sintering","Particle image velocimetry","Flow (mathematics)","Mechanical engineering","Flow properties"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2012-05-22","doi":"https://doi.org/10.1016/j.matdes.2012.05.017","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4281942548","name":"Hyperparameter Tunning in Simulation-based Optimization for Adaptive Digital-Twin Abstraction Control of Smart Manufacturing System","source":"openalex","abstract":"Smart manufacturing utilizes digital twins (DTs) that are virtual forms of their production plants for optimizing decisions. Discrete-event models (DEMs) are frequently used to model the production dynamics of the plants. To accelerate the performance of the discrete-event simulations (DES), adaptive abstraction-level conversion (AAC) approaches were proposed to change specific subcomponents of the DEM with corresponding abstracted queuing models during the runtime based on the steady-state of the DEMs. However, the speedup and accuracy loss of the AAC-based simulations (ABS) are highly influenced by user-specified significance level α (degree of tolerance of statistical invariance between two samples) and the stability of the DEMs. In this paper, we proposed a simulation-based optimization (SBO) that optimizes the problem based on genetic algorithm (GA) while tuning the hyperparameter (α) during runtime to maximize the speedup of ABS under a specified accuracy constraint. For each population, the proposed method distributes the computing budget between the α exploration and fitness evaluation. A discrete-gradient-based method is proposed to estimate each individual’s initial α (close to the final optimum) using previous exploration results of neighboring individuals so that the closeness can reduce the iterative α exploration as GA converges. We also proposed a clean-up method that removes inferior results to improve the α estimation. The proposed method was applied to optimize raw-material releases of a large-scale manufacturing system to prove the concept and evaluate the performance under various situations.","url":"https://doi.org/10.1145/3518997.3531024","authors":["Moon Gi Seok","Wen Jun Tan","Boyi Su","Wentong Cai"],"tags":["Speedup","Computer science","Hyperparameter","Discrete event simulation","Convergence (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-08","doi":"https://doi.org/10.1145/3518997.3531024","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4409978762","name":"Towards Human Modeling for Human-Robot Collaboration and Digital Twins in Industrial Environments: Research Status, Prospects, and Challenges","source":"openalex","abstract":"• Review the research status on human modelling in Human-Robot Collaboration and Digital Twins. • Present models for multiple aspects of humans and related modeling technologies systematically. • Present the applications of human models throughout various lifecycle stages. • Discuss human modelling prospects and challenges in Human-Robot Collaboration and Digital Twins. Human-Robot Collaboration (HRC) and Digital Twins (DT) have significantly advanced industrial development and digital transformation. Human representations and models are essential in Industry 5.0, where human-centric is one of the key features. Despite the growing interest in human models for HRC and DT, a comprehensive overview of these models and enabling technologies currently needs to be provided. This paper aims to present the research status, prospects, applications, and challenges of human modeling for HRC and DT in industrial environments. This paper adopts a Systematic Literature Review (SLR) approach. Moreover, a framework is proposed to systematize human modeling aspects, the technologies used by robots for modeling, and the applications of human models throughout various lifecycle stages. The modeled aspects are categorized into physical and behavior models, with behavior models further divided into perception, cognition, and execution models. The technology is structured hierarchically into input, process, and output layers. Applications of the models are discussed across design, manufacturing, and service phases. The research status is examined in terms of human aspects and relevant technologies, identifying current limitations. Based on this, future prospects to address these limitations are discussed. Furthermore, the challenges in advancing current research towards these prospects are identified, focusing on model fidelity, individual-specific models, sensing, and computation. This research aims to support future human modeling in HRC and DT, contributing to safety, efficiency, and human well-being in industrial environments.","url":"https://doi.org/10.1016/j.rcim.2025.103043","authors":["Guoyi Xia","Zied Ghrairi","Thorsten Wuest","Karl Hribernik","Aaron Heuermann","Fei‐Fei Liu","Hui Liu","Klaus‐Dieter Thoben"],"tags":["Robot","Human–robot interaction","Human–computer interaction","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-30","doi":"https://doi.org/10.1016/j.rcim.2025.103043","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3202123766","name":"Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)","source":"openalex","abstract":"Now a day's manufacturing has become more intelligent and data-driven. A smart production unit can be thought of as a powerful connected industrial system with materials, parts, equipment, tools, inventory, and logistics that can transmit data and communicate with one another in the age of the Industrial Internet of Things (IIoT). This IIoT refers to linked devices, sensors, and other equipment that may be networked in the industrial environment to provide remote access, effective monitoring, better data collecting, analysis, & exchange etc. In Industry 4.0, IIoT is fundamental to transforming cyber-physical systems and production processes through big data and analytics. This paper provides an overview of the IIoT and the technologies that underpin it. The primary benefits and features of IIoT in manufacturing are discussed in detail. Smart Transformations made into the manufacturing field through IIoT Culture are discussed diagrammatically. Finally, twenty-nine significant applications of IIoT in the field of manufacturing are identified and discussed. IIoT can monitor the transport, supply of the goods, consult details on things in warehouses, and check the conditions related to product storage and delivery and allow all dispersed and outsourced operations to be monitored. Therefore, the industry is being revolutionised by IIoT, altering the way industrial enterprises function daily to improve efficiency and performance levels.","url":"https://doi.org/10.1016/j.sintl.2021.100129","authors":["Mohd Javaid","Abid Haleem","Ravi Pratap Singh","Shanay Rab","Rajiv Suman"],"tags":["Industrial Internet","Big data","Industry 4.0","Computer science","Smart manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.1016/j.sintl.2021.100129","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4391116733","name":"Digital twin in high throughput chromatographic process development for monoclonal antibodies","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.chroma.2024.464672","authors":["Tiago Castanheira Silva","Michel H. M. Eppink","Marcel Ottens"],"tags":["Chemistry","Adsorption","Process development","Throughput","Monoclonal antibody"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-22","doi":"https://doi.org/10.1016/j.chroma.2024.464672","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3108795380","name":"Digital Thread Enabled Manufacturing Automation Towards Mass Personalization","source":"openalex","abstract":"Abstract Manufacturing industries are moving towards mass personalization, which refers to the rapid production of individualized products, with large scale efficiencies. This shift from push-type mass customization to pull-type mass personalization will pose critical operational challenges to manufacturing businesses, with complexities ranging from effective requirements elicitation to design, manufacturing, commissioning and after-sales support. Aiming at addressing these challenges, a feasible operational framework for enabling efficient manufacturing automation for mass personalization is proposed in this paper. A key element of this operational framework is the Digital Thread, which streamlines information flow associated with design, manufacturing, maintenance and servicing of a personalized product, each of which are represented as Digital Twins. An As-Designed Digital Twin is created from the beginning of the product co-design process, which then evolves into the subsequent design and manufacturing process and systems resulting in As-Designed Digital Twin evolving to As-Planned Digital Twin and then to As-Built Digital Twin. The personalized product, after it’s commissioning and installation constitutes the As-Maintained Digital Twin of the product, which stores product data related to field performance. The data exchange and communications between these Digital Twins that reside in the various departments of the organization and the management systems create a seamless Digital Thread, capturing the lifecycle information of each personalized product. Personalized product is proposed to be developed through a self-organizing shopfloor, working on a multi-agent mechanism and controlled by a central agent control algorithm, which can coordinate and provide individualized process plans. The Digital Twins, interlinked by a Digital Thread and realized by a self-organizing shopfloor, thus result in increased level of automated control in engineering and manufacturing. To validate the feasibility of this proposed framework, we tested the information flow in the Digital Thread with a case study in the construction industry. Finally the challenges faced by such an automation framework and the area of future work are also discussed.","url":"https://doi.org/10.1115/msec2020-8429","authors":["A. Ramesh","Zhaojun Qin","Yuqian Lu"],"tags":["Mass customization","Personalization","Thread (computing)","Computer science","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-09-03","doi":"https://doi.org/10.1115/msec2020-8429","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4211006676","name":"Research on Digital Twin Model and Visualization of Power Transformer","source":"openalex","abstract":"With the introduction of national-level strategic concepts such as intelligent manufacturing and Industry 4.0, more and more people are beginning to pay attention to information, sensing, artificial intelligence and other technologies. Digital twins are the key to achieving digitalization in various fields. Compared with On-line monitoring or fault diagnosis technology, the obvious advantages of digital twins are timeliness, two-way prediction, and high visibility. The model is also the key to the application of digital twins. The creation of models is related to the accuracy and visualization of digital twins. This article summarizes the development of digital twins and establishes the physical model of the transformer. Three-dimensional model of crystal alloy transformer, no-load test and short-circuit test are performed on the model, and the real-time change graph of the magnetic flux density in the iron core during no-load simulation operation is given. Finally, the development of digital twins in the field of power systems is prospected.","url":"https://doi.org/10.1109/icnsc52481.2021.9702244","authors":["Zhang Delong","Zhijun Ye","Chen Huipeng","Peng Zhou","Jiliang Luo"],"tags":["Transformer","Visualization","Computer science","Electronic engineering","Electrical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-03","doi":"https://doi.org/10.1109/icnsc52481.2021.9702244","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4412484910","name":"APPLICATION OF DIGITAL TWIN IN ENSURING CYBER-SECURITY IN MANUFACTURING PROCESSES MANAGEMENT","source":"openalex","abstract":"Purpose: The objective of the paper is twofold: firstly, to analyze the applications of Digital Twin (DT) technology in ensuring cybersecurity in manufacturing processes; and secondly, to identify key thematic areas, research gaps, and potential practical applications. Design/methodology/approach: The research was conducted based on a systematic literature review, using bibliometric analysis and advanced data analysis tools such as VOSviewer and Latent Dirichlet Allocation (LDA). Findings: The literature analysis revealed that current studies focus on the analysis of DT use in risk management and security testing without interference in real manufacturing systems. DT facilitates the emulation of a variety of threat scenarios, the evaluation of the efficacy of implemented security measures, and the optimization of preventive strategies. However, the analysis also identified significant research gaps, including the lack of unified implementation methodologies and insufficient exploration of the impacts of DT deployment in cybersecurity at operational and strategic levels. Practical implications: The implementation of DT has the potential to enhance cybersecurity risk management in manufacturing enterprises by facilitating earlier threat detection, minimizing potential losses, and expediting incident response times. DT provides enterprises with tools for continuous monitoring of manufacturing processes, enabling proactive threat management and increasing system resilience. Originality/value: The study proposes an interdisciplinary approach, with a view to identifying a research niche related to the integration of DT with other information technologies. Furthermore, it outlines directions for developing methodologies and standards for DT implementation in manufacturing processes, with a view to ensuring their cybersecurity.","url":"https://doi.org/10.29119/1641-3466.2025.224.25","authors":["Justyna Smagowicz","Cezary Szwed","Michał Wiśniewski"],"tags":["Business","Computer security","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.29119/1641-3466.2025.224.25","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"oa:W4378982451","name":"Benefits of Using Digital Twin for Online Fault Diagnosis of a Manufacturing System","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-30510-8_12","authors":["Ramla Saddem","Dylan Baptiste"],"tags":["Computer science","Actuator","Fault (geology)","Term (time)","Recurrent neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-30510-8_12","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4382400075","name":"Requirements and challenges for infusion of SHM systems within Digital Twin platforms","source":"openalex","abstract":"The need for measurable data from physical assets to actively feed a living Digital Twin (DT) is paramount. The requirements and needs that the gathered data should fulfill in order to be practically implemented in the stream data pipeline are heterogeneous, some of them general and other case-specific. This article summarizes a set of identified challenges and requirements for a seamless infusion of well-established Structural Health Monitoring (SHM) systems within DT platforms, without the objective of solve all of them. This identification is performed based on a review of traditional SHM systems with a vast array of information sources as well as on the review of techniques for the systematic digitalization of existing assets. On the other hand, ten real demo cases belonging to Ashvin, an H2020 Research and Innovation project, are providing real world testing beds for an active development of SHM infused in DT systems. Multiple information sources are studied in those sites, which also enriches with more realism, the identification of requirements and challenges presented herein. These assets provide a perspective to researchers about practical implications of these needs.","url":"https://doi.org/10.1080/15732479.2023.2225486","authors":["Rolando Chacón","Joan R. Casas","Carlos Ramonell","Hector Posada","Irina Stipanović","Sandra Škarić"],"tags":["Identification (biology)","Computer science","Structural health monitoring","Systems engineering","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-06-28","doi":"https://doi.org/10.1080/15732479.2023.2225486","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4403469007","name":"An analysis of digital twin technologies enhancing supply chain viability: empirical evidence from multiple cases","source":"openalex","abstract":"Recent challenges, including the semiconductor shortage, the Suez Canal blockage, the Russia-Ukraine conflict and the Huthi attacks in the Red Sea, have shifted the focus of top management towards ensuring continuity and building resilience in their supply chain (SC). These threats manifest in supply shortages, manufacturing halts and significant revenue losses, prompting a re-evaluation of SC strategies and increased investment in digital technologies. Specifically, adopting digital twin technologies (DTTs) enhances organizations to cope with SC disruptions by providing real-time data, facilitating quick decision-making and enabling immediate actions or responses. Applying the theoretical lens of the practice-based view (PBV), the present research analyses five cases to illustrate how DTTs beneficially support SC viability (SCV) practices, enhancing operational performance subsequently. The study uses secondary data to provide empirical evidence on the Digital supply chain practice model (DSCPM). The findings highlight the DTT’s role in facilitating SCV practices, enhancing visibility, adaptability and velocity. From a managerial perspective, however, the study reveals a notable gap between potential benefits and practical implementations of DTTs.","url":"https://doi.org/10.1080/09537287.2024.2415418","authors":["Gernot M. Stadtfeld","René Lienemann","Tim Gruchmann"],"tags":["Supply chain","Empirical evidence","Business","Computer science","Empirical research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-16","doi":"https://doi.org/10.1080/09537287.2024.2415418","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3030666204","name":"Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-48791-1_14","authors":["Е. В. Зотов","Ashutosh Tiwari","Visakan Kadirkamanathan"],"tags":["Generative grammar","Machining","Digital manufacturing","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1007/978-3-030-48791-1_14","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4382883072","name":"Maximizing Efficiency and Cost Savings through Digital Twin Simulation: Optimizing Cellular Manufacturing","source":"openalex","abstract":"Cellular manufacturing is a process that groups similar machines, workstations, and processes in a dedicated area to maximize efficiency and reduce production time. A well-designed cellular manufacturing facility layout can increase productivity and decrease manufacturing costs. To optimize the layout design of a cellular manufacturing facility, digital twin simulation can be used. Digital twin simulation involves creating a virtual replica of a physical system or process to simulate and optimize various scenarios. By utilizing digital twin simulation, manufacturers can identify potential bottlenecks, inefficiencies, and other issues that could impact design and leading to cost savings and increased productivity. This paper will explore the concept of maximizing efficiency and cost savings through digital twin simulation, specifically focusing on optimizing cellular manufacturing processes. The paper will discuss the benefits of digital twin simulation, provide examples of its applications in cellular manufacturing.","url":"https://doi.org/10.23977/msom.2023.040403","authors":["Safіye Turgay","Necip Akar"],"tags":["Cellular manufacturing","Productivity","Workstation","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.23977/msom.2023.040403","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3198743113","name":"Corrigendum to “Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems”. J. Clean. Prod. 306 (2021) 127278","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2021.128836","authors":["Jiewu Leng","Man Zhou","Yuxuan Xiao","Hu Zhang","Qiang Liu","Weiming Shen","Qianyi Su","Longzhang Li"],"tags":["Project commissioning","Flow (mathematics)","Type (biology)","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-04","doi":"https://doi.org/10.1016/j.jclepro.2021.128836","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4213280101","name":"The Development of a BIM-Based Interoperable Toolkit for Efficient Renovation in Buildings: From BIM to Digital Twin","source":"openalex","abstract":"Nowadays, buildings renovation is a subject of special interest since the building and construction sector is the main body responsible for energy consumption and emissions. Hence, it is necessary to concentrate on refurbishment to achieve Europe’s climate neutrality by 2050 according to European Agenda goals. The BIM4EEB Project, a BIM-based fast toolkit for the efficient renovation of residential buildings, directs the attention toward developing an exhaustive toolkit based on Building Information Modeling (BIM) to be adopted in the renovation of existing residential buildings, to make the flow of information efficient, decreasing intervention working time while improving building performances, quality, and comfort for inhabitants. BIM4EEB is developing a BIM management system connected to an operational and multifunctional toolkit for various architecture, engineering, and construction (AEC) stakeholders, integrating a set of tools for improving BIM adoption in renovation environments based on an interoperable flow of information. This paper presents the Horizon2020 Project and the framework used to develop the toolkit. In addition, the first outcomes of the toolkit development are outlined. The validation procedure in real environments has started to demonstrate the efficacy and applicability of the methodology and tools. Although the project is still in progress, benefits connected to the framework and the BIM-based toolkit result in an enhanced building renovation process.","url":"https://doi.org/10.3390/buildings12020231","authors":["Bruno Daniotti","Gabriele Masera","Cecilia Maria Bolognesi","Sonia Lupica Spagnolo","Alberto Pavan","Giuliana Iannaccone","Martina Signorini","Simone Ciuffreda","Claudio Mirarchi","Meherun Nesa Lucky","Marco Cucuzza"],"tags":["Building information modeling","Interoperability","Process (computing)","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-17","doi":"https://doi.org/10.3390/buildings12020231","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3126049348","name":"Digital twin control of multi-axis wood CNC machining center based on LinuxCNC","source":"openalex","abstract":"This paper presents an application of an open architecture control system implemented on a multi-axis wood computer numerical control milling machining center, as a digital twin control. The development of the digital twin control system was motivated by research and educational requirements, especially in the field of configuring a new control system by “virtual commissioning”, enabling the validation of the developed controls, program verification, and analysis of the machining process and monitoring. The considered wood computer numerical control (CNC) machining system is supported by an equivalent virtual machine in a computer-aided design and computer-aided manufacturing (CAD/CAM) environment, as well as in the control system, as a digital twin. The configured virtual machines are used for the verification of the machining program and programming system via machining simulation, which is extremely important in multi-axis machining. Several test wood workpieces were machined to validate the effectiveness of the developed control system based on LinuxCNC.","url":"https://doi.org/10.15376/biores.16.1.1115-1130","authors":["Aleksandar Rakić","Saša Živanović","Zoran Dimić","Mladen Knežević"],"tags":["Machining","Numerical control","Control system","Computer-aided manufacturing","Machine tool"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-18","doi":"https://doi.org/10.15376/biores.16.1.1115-1130","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2995453026","name":"Creation of Digital Twins by Combining Fuzzy Rules with Artificial Neural Networks","source":"openalex","abstract":"The rise of digital twins in the manufacturing industry is accompanied by new possibilities, like process automation and condition monitoring, real time simulations and quality and maintenance prediction are just a few advantages which can be realized. This paper takes a novel approach by extracting the fundamental knowledge of a data set from a production process and mapping it to an expert fuzzy rule set. Afterwards, new fundamental augmented data is generated by exploring the feature space of the previously generated fuzzy rule set. At the same time, a high number of artificial neural network (ANN) models with different hyperparameter configurations are created. The best models are chosen, in line with the idea of survival of the fittest, and improved with the additional training data sets, generated by the fuzzy rule simulation. It is shown that ANN models can be improved by adding fundamental knowledge represented by the discovered fuzzy rules. Those models can represent digitized machines as digital twins. The architecture and effectiveness of the digital twin is evaluated within an industry 4.0 use case.","url":"https://doi.org/10.1109/iecon.2019.8926914","authors":["Matthias Lermer","Christoph Reich"],"tags":["Computer science","Artificial neural network","Artificial intelligence","Hyperparameter","Fuzzy rule"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-10-01","doi":"https://doi.org/10.1109/iecon.2019.8926914","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4288722505","name":"Structured Development of Digital Twins—A Cross-Domain Analysis towards a Unified Approach","source":"openalex","abstract":"Digital Twins (DT) as digital representations are increasingly becoming operational design tools in a variety of contexts. Although a common understanding of the concept and the underlying development procedure would facilitate DT applications, only limited information has been published on the essential stages of development and fundamental development activities. This paper examines the extent to which an abstract, and thus generally applicable model for the development of Digital Twins can be identified. In order to come up with such a reference procedure, a structured analysis of published development experiences has been performed. Three major application domains, namely product lifecycle management, manufacturing, and predictive maintenance, could be detailed and cross-checked. For each of these domains, a contextual development model could be derived from empirically valid design and engineering practices. The data also allowed for the determination of which way each model corresponds to existing Digital Twin concepts. The use of a standard modeling notation enabled the integration of the domain-specific models into a single Digital Twin development model. As a result, developers are guided by domain-independent and -dependent development steps. Due to its generic structure, the model can serve for further domain explorations.","url":"https://doi.org/10.3390/pr10081490","authors":["Wolfgang Heindl","Christian Stary"],"tags":["Computer science","Domain (mathematical analysis)","Variety (cybernetics)","Notation","Development (topology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-28","doi":"https://doi.org/10.3390/pr10081490","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4378450700","name":"A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2023.05.008","authors":["Jiazhen Pang","Pai Zheng","Shufei Li","Shimin Liu"],"tags":["Computer science","Flexibility (engineering)","Construct (python library)","Assembly modelling","Point cloud"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-24","doi":"https://doi.org/10.1016/j.jmsy.2023.05.008","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4406427602","name":"Critical factors affecting digital transformation in manufacturing companies","source":"openalex","abstract":"Abstract Digital transformation represents a compelling opportunity for manufacturing companies to enhance their competitiveness. This transformative journey offers myriad possibilities, including improved connectivity between workers and machines, as well as seamless machine-to-machine interactions. However, many manufacturing companies encounter challenges when attempting to implement digital transformation effectively. The process of digital transformation is often slow, and most companies find themselves in the early stages of adoption, grappling with the ambiguity surrounding the associated technologies. A systematic approach for the implementation of digital transformation is still elusive for many manufacturing companies. The number of studies exploring digital transformation is increasingly growing, encompassing various sectors and domains. However, within the manufacturing sector, there remains a need for further research and clarity on systematic implementation approaches. To address these issues, this research undertakes a comprehensive analysis to identify the critical factors that influence digital transformation in the manufacturing sector. The objective of this research is to identify the factors that drive the success of digital transformation in manufacturing companies while also uncovering factors that, when neglected, could lead to failure. Through a systematic literature review, this research identifies 11 critical factors. These factors serve as the basis for developing the ARTO model, a structured framework comprising four distinct categories: \"Awareness-related factors,\" \"Readiness-related factors,\" \"Technology Selection-related factors,\" and \"Operations-related factors.\" Moreover, this research incorporates expert perspectives gathered through a survey to refine the ARTO model. This study offers the ARTO model and digital transformation definition as practical tools for successfully implementing digital transformation in manufacturing companies, while also delineating the intricate relationships among the crucial factors. By shedding light on the factors underpinning digital transformation in the manufacturing sector, this research contributes to the ongoing discourse and facilitates more effective adoption of digital transformation strategies.","url":"https://doi.org/10.1007/s11365-024-01056-3","authors":["Koteshwar Chirumalla","Pejvak Oghazi","Rosa Eluekezi Nnewuku","Hatice Tuncay","Nima Yahyapour"],"tags":["Entrepreneurship","Digital transformation","Transformation (genetics)","Business","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-16","doi":"https://doi.org/10.1007/s11365-024-01056-3","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4413472111","name":"Technologies, Applications, and Challenges of Digital Twin Across Industries: A Systematic Review of the State-of-the-Art Literature","source":"openalex","abstract":"Digital twins can be defined as a virtual representation of a physical object that can replicate its behavior in a virtual environment. This concept involves the integration of three distinct components: the physical space, the virtual space, and the communication between these two spaces. Digital twins are recognized as one of the key driving forces in various industries, and a comprehensive understanding is necessary to utilize them. A thorough review of the advantages and disadvantages of digital twins, including their value, characteristics, applications, and challenges, is essential to analyze their growth potential and investment value. This paper comprehensively reviews the digital twin applications being studied across industries. To this end, we propose three research questions and address them through a structured literature review. First, we examine the core technologies of digital twins and find that they form an integrated framework combining modeling, sensing, and real-time data processing. Second, we analyze their adoption across industries and observe widespread use in aerospace and aeronautics, manufacturing, healthcare, energy, and urban systems with domain-specific objectives. Third, we explore life-cycle applications and identify digital twins as enablers of continuity from design to operation and evolution. These findings offer a broad perspective on the current state and future potential of digital twin applications.","url":"https://doi.org/10.1109/access.2025.3601615","authors":["Chang-Hui Bae","Eu-Teum Choi","Seongjin Lee"],"tags":["Computer science","State (computer science)","Data science","Systematic review","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3601615","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4388116099","name":"Virtual manufacturing in Industry 4.0: A review","source":"openalex","abstract":"Virtual manufacturing is one of the key components of Industry 4.0, the fourth industrial revolution, in improving manufacturing processes. Virtual manufacturing enables manufacturers to optimize their production processes using real-time data from sensors and other connected devices in Industry 4.0. Web-based virtual manufacturing platforms are a critical component of Industry 4.0, enabling manufacturers to design, test, and optimize their processes collaboratively and efficiently. In Industry 4.0, radio frequency identification (RFID) technology is used to provide real-time visibility and control of the supply chain as well as to enable the automation of various manufacturing processes. Big data analytics can be used in conjunction with virtual manufacturing to provide valuable insights and optimize production processes in Industry 4.0. Artificial intelligence (AI) and virtual manufacturing have the potential to enhance the effectiveness, consistency, and adaptability of manufacturing processes, resulting in faster production cycles, better-quality products, and lower prices. Recent developments in the application of virtual manufacturing systems to digital manufacturing platforms from different perspectives, such as the Internet of Things, big data analytics, additive manufacturing, autonomous robots, cybersecurity, and RFID technology in Industry 4.0, are discussed in this study to analyze and develop the part manufacturing process in Industry 4.0. The limitations and advantages of virtual manufacturing systems in Industry 4.0 are discussed, and future research projects are also proposed. Thus, productivity in the part manufacturing process can be enhanced by reviewing and analyzing the applications of virtual manufacturing in Industry 4.0.","url":"https://doi.org/10.1016/j.dsm.2023.10.006","authors":["Mohsen Soori","Behrooz Arezoo","Roza Dastres"],"tags":["Integrated Computer-Aided Manufacturing","Manufacturing engineering","Manufacturing","Computer-integrated manufacturing","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-01","doi":"https://doi.org/10.1016/j.dsm.2023.10.006","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4412954268","name":"A System Dynamics-Based Hybrid Digital Twin Model for Driving Green Manufacturing","source":"openalex","abstract":"Green manufacturing has emerged as a critical objective in the evolution of advanced production systems. Although digital twin technology is widely recognized for enhancing efficiency and promoting sustainability, the majority of existing research focuses exclusively on physical systems. They neglect the impact of soft systems, including human behavior, decision-making, and operational strategies. To address this limitation, the present study introduces an innovative hybrid digital twin model that integrates both physical and soft systems to support green manufacturing initiatives comprehensively. The primary contributions of this work are threefold. First, a novel hybrid architecture is developed by coupling real-time physical data with virtual soft system components that simulate factory operations. Second, lean production principles are systematically incorporated into the soft system, thereby facilitating reduced energy consumption and minimizing environmental impact. Third, a parameter-driven programming model is formulated to correlate critical variables with green performance metrics, and a genetic algorithm is utilized to optimize these variables, ultimately enhancing sustainability outcomes. This integrated approach not only expands the applicability of digital twin technology but also offers a data-driven decision-support tool for the advancement of green manufacturing practices.","url":"https://doi.org/10.3390/systems13080651","authors":["Sucheng Fan","Huagang Tong","Song Wang"],"tags":["Dynamics (music)","Computer science","Physics","Acoustics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-01","doi":"https://doi.org/10.3390/systems13080651","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2996372449","name":"A virtual permeability measurement framework for fiber reinforcements using micro CT generated digital twins","source":"openalex","abstract":"Liquid Composite Molding (LCM) is one of the widely used manufacturing techniques for high performance composite parts. In a simple LCM process, a pressurized liquid resin is injected inside a mold containing fibrous reinforcements. In order to create quality components using LCM processes, reinforcement characterization such as permeability and compaction response need to be performed fast and accurately. In this work, a micro CT based experimental-numerical reinforcement compaction and permeability characterization framework has been proposed which can potentially reduce process characterization cost by lowering material consumption and labor time and effort. The framework is non-destructive in nature and uses a miniaturized compression stage that can be housed in an X-ray computed tomography (XCT) system. This in-situ XCT experimental set-up is used to acquire the stress relaxation curve and XCT images of the reinforcement internal structure at multiple fiber volume fractions which are then converted into digital twins of the reinforcements. The virtual permeability of the reinforcement digital twin is computed through numerical flow simulations using realistic voxel models extracted from the stack of XCT images. The proposed approach has the capability of obtaining a plethora of information about the preform including, compaction response, statistical measurements of the internal preform geometry, and voxel models for numerical simulations. The methodology has been successfully demonstrated using two carbon fiber reinforcements with 3D woven architecture. The virtual permeability predictions were benchmarked against experimentally measured values, and were found to be in excellent agreement with the experimental data.","url":"https://doi.org/10.1016/j.ijlmm.2019.12.002","authors":["Muhammad A. Ali","Rehan Umer","Kamran A. Khan"],"tags":["Materials science","Compaction","Reinforcement","Voxel","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-12","doi":"https://doi.org/10.1016/j.ijlmm.2019.12.002","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4295832255","name":"Edge-Fog-Cloud Secure Storage with Deep-Learning-Assisted Digital Twins","source":"openalex","abstract":"The present work studies the storage security of edge-fog-cloud computing to improve cloud storage security. The data of an intelligent manufacturing industrial machine is used in the research and pre-processed. Machine manufacturing perception data includes data storage and data transmission. In addition, combined with the perception data of machine manufacturing, digital twins technology is used to construct the digital twin in the real world to simulate the online data-driven behavior of machine manufacturing. The digital twins model is built and saved by 3Dmax. Finally, deep learning technology is introduced to defend against network intrusion. Cloud databases are vulnerable to external attacks and internal attacks of cloud data providers. Thus, the homomorphic encryption algorithm and secure multi-party computing are introduced to ensure that the database stores ciphertext data and performs data queries directly. The experimental results indicate that digital twins technology has a good effect. The two-layer cloud database model costs US$11, 476.1, the lowest among comparative models. The unencrypted Amazon Relational Database Service has the best performance. The model proposed here also achieves relatively high availability, and the hybrid cloud structure significantly improves the model's performance. The research content provides a reference for realizing data storage security in a hybrid cloud.","url":"https://doi.org/10.1109/iotm.002.2100145","authors":["Zhihan Lv","Ranran Lou"],"tags":["Cloud computing","Computer science","Cloud storage","Data security","Database"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-01","doi":"https://doi.org/10.1109/iotm.002.2100145","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4404889753","name":"From Theory to Practice: Leveraging Digital Twin Technologies and Supply Chain Disruption Mitigation Strategies for Enhanced Supply Chain Resilience with Strategic Fit in Focus","source":"openalex","abstract":"Abstract Supply chain resilience (SCR) has been a topic of enormous interest among researchers for almost two decades. Still, there’s been limited focus on the impact of digital twin (DT) technologies and supply chain disruption mitigation (SCDM) strategies on SCR. This study addresses this gap by examining how DT and SCDM strategies enhance SCR and whether strategic fit (SF) moderates these relationships. Using the dynamic capability view (DCV) as the theoretical foundation, we developed our conceptual framework and research hypotheses. Data were collected from 200 Bangladeshi manufacturing organizations through a survey-based approach, and the partial least square (PLS) technique was utilized to assess the framework and research hypotheses. The findings reveal that both DT technologies and SCDM strategies significantly boost SCR. Besides, while SF plays a critical moderating role in the relationship between DT and SCR, it does not moderate the association between SCDM strategies and SCR. This study contributes to the theoretical understanding of SCR by integrating DT and SCDM strategies within the DCV framework, offering insights into their roles in managing supply chain disruptions. Additionally, it provides practical guidance for managers on effectively leveraging DT and SCDM strategies to build resilient supply chains while emphasizing the importance of strategic alignment in optimizing digital interventions.","url":"https://doi.org/10.1007/s40171-024-00424-w","authors":["Md. Ismail Hossain","Subrata Talapatra","Palash Saha","H. M. Belal"],"tags":["Supply chain","Resilience (materials science)","Focus (optics)","Business","Supply chain risk management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-01","doi":"https://doi.org/10.1007/s40171-024-00424-w","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4206620032","name":"Advancing pharmacy and healthcare with virtual digital technologies","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.addr.2021.114098","authors":["Sarah J. Trenfield","Atheer Awad","Laura E. McCoubrey","Moe Elbadawi","Álvaro Goyanes","Simon Gaisford","Abdul W. Basit"],"tags":["Health care","Pharmacy","Emerging technologies","Digital health","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-05","doi":"https://doi.org/10.1016/j.addr.2021.114098","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4293860323","name":"Review of advanced techniques for manufacturing biocomposites: non-destructive evaluation and artificial intelligence-assisted modeling","source":"openalex","abstract":"Natural fiber-reinforced polymer composites (NFRPCs) are being widely used in aerospace, marine, automotive and healthcare applications due to their sustainability, low cost and ecofriendly nature. The NFRPCs manufactured through conventional and computer-controlled intelligent manufacturing techniques may contain internal and external defects. Traditionally, the microstructure of NFRPCs at different stages of manufacturing was obtained using destructive techniques which have stringent sample size restrictions and may cause a decrease in residual properties of composites due to destructive scanning. However, these complications can be overcome by using non-destructive evaluation (NDE) and artificial intelligence (AI) techniques. This review highlights the impact of NDE and AI on the improvement of emerging manufacturing systems. We have discussed the classification of biocomposites, their manufacturing techniques, recyclability and strategies to improve mechanical properties. Further, the use of different types of contact and non-contact NDE techniques in understanding the microstructural variations during manufacturing, machining and the parameters that affect the mechanical performance of NFRPCs are discussed. The use of NDE images in developing the geometrical and computational models of NFRPCs is presented. We have highlighted the importance of AI technology in enhancing the quality of NDE images, improving the microstructural information before post-processing the data, and minimizing the analysis time and identifying the defects and damages in NFRPCs. In the end, we presented the application of NDE techniques and AI technology in efficient generation of digital material twins of NFRPCs, which will be useful to design next-generation biocomposites. Graphical abstract","url":"https://doi.org/10.1007/s10853-022-07558-1","authors":["J. Preethikaharshini","K. Naresh","G. Rajeshkumar","V. Arumugaprabu","Muhammad Khan","Kamran A. Khan"],"tags":["Aerospace","Automotive industry","Machining","Materials science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-30","doi":"https://doi.org/10.1007/s10853-022-07558-1","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4394003784","name":"QUALIMETRIC QUALITY ASSESSMENT OF ADDITIVE MANUFACTURING DIGITAL TWINS","source":"openalex","abstract":"The emergence of “digital twins” was a continuation of the development of the ideas of “digital production” and the concept of the Industrial Internet of Things. Currently, many industrial sectors actively monitor equipment performance data. In recent years, digital transformation has made it possible to not only fully analyze this data using advanced analytics, but also make informed decisions to optimize operations across industries. Such new technologies also allow manufacturers to incorporate digital replicas into their products and processes. New designs can be tested in environmental conditions, saving time, money and resources. A digital twin can significantly speed up physical problem solving, location discovery, and enable the creation of superior products and better customer service. With this intelligent approach, companies can achieve value and benefits much faster than ever before. The development of methods for qualimetry of models should be carried out in parallel in two areas of research, mutually complementing and enriching each other. The first direction of work should focus on the general aspects of qualimetry models and be based on a generalization of the results obtained within the framework of the main models of applied theories of quality assessment and management, which are developed in each subject area (the second direction of research).","url":"https://doi.org/10.37313/1990-5378-2023-25-6-84-91","authors":["В. А. Тушавин","Е. А. Фролова","А. В. Чабаненко"],"tags":["Digital transformation","Computer science","Quality (philosophy)","Production (economics)","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.37313/1990-5378-2023-25-6-84-91","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4411342862","name":"Identifying and Prioritizing Essential Data Attributes for Discrete Event Simulation-Based Digital Twins: Implications for Manufacturing Optimization","source":"openalex","abstract":"The rise of Digital Twin (DT) and Discrete Event Simulation (DES) technologies in manufacturing underscores the critical importance of accurate data. Without key data attributes, DT models become unreliable for system optimization and decision-making support. Through a case study, this research contributes to the knowledge domain by identifying essential data attributes for effective DES-based DT implementation and categorizing them according to their availability and relevance to various optimization objectives. To achieve this, a mixed method approach was employed, combining a literature review, semi-structured interviews, and consultations with industrial practitioners, including simulation specialists, manufacturing execution system experts, and shop floor managers. The study’s findings reveal significant data gaps when using DES-based DT in the manufacturing sector and, through Quality Function Deployment (QFD) analysis, provide industry practitioners with actionable insights for prioritizing data collection efforts. Ultimately, this research facilitates data-driven decision-making in large-scale manufacturing environments by offering a structured framework for identifying key data attributes necessary to enhance DES-based DT.","url":"https://doi.org/10.1016/j.procir.2025.02.162","authors":["Anirudh Inginshetty","Swadesh Bellure","Adrian Sánchez de Ocaña","Masood Fathi"],"tags":["Discrete event simulation","Event (particle physics)","Event data","Computer science","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1016/j.procir.2025.02.162","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4200550544","name":"A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning","source":"openalex","abstract":"The manufacturing of a high-precision servo valve belongs to multi-variety, small-batch, and customized production modes. In the process of assembly and commissioning, various characteristic parameters are critical indicators to measure product performance. To meet the performance requirements of a high-precision servo valve, the traditional method usually relies on the test bench and manual experience for continuous trial and error commissioning, which significantly prolongs the whole assembly-commissioning cycle. Therefore, this paper proposed a performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning. Firstly, the cloud-edge computing network is deployed in the digital twin assembly-commissioning system to improve the efficiency and flexibility of data processing. Secondly, the method workflow of performance prediction is described. In order to improve the accuracy of measurement data, a data correction method based on model simulation and gross error processing is proposed. Aiming at the problem of high input dimension of the prediction model, a key assembly feature parameters (KAFPs) selection method, based on information entropy (IE), is proposed and given interpretability. Additionally, to avoid the poor prediction accuracy caused by small sample data, a performance prediction method based on TrAdaboost was utilized. Finally, the hysteresis characteristic commissioning of a high-precision servo valve is taken as an example to verify the application. The results indicate that the proposed method would enable accurate performance prediction and fast iteration of commissioning decisions.","url":"https://doi.org/10.3390/machines10010011","authors":["Xuemin Sun","Shimin Liu","Jinsong Bao","Jie Li","Zengkun Liu"],"tags":["Computer science","Project commissioning","Workflow","Control engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-23","doi":"https://doi.org/10.3390/machines10010011","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2951090891","name":"Additive manufacturing high performance graphene-based composites: A review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compositesa.2019.105483","authors":["Yan Li","Zuying Feng","Lijing Huang","Khamis Essa","Emiliano Bilotti","Han Zhang","Ton Peijs","Liang Hao"],"tags":["Materials science","Graphene","Composite material","EMI","Ceramic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-06-11","doi":"https://doi.org/10.1016/j.compositesa.2019.105483","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4414433671","name":"Requirement-Driven Sharing of Manufacturing Digital Twins Along the Value Chain","source":"openalex","abstract":"Digital Twins (DTs) are key enablers of Smart Manufacturing, yet their adoption across the value chain is hindered by the lack of a standardized sharing framework. This paper addresses this challenge by identifying essential descriptive and qualitative elements of DTs based on standards and literature. Leveraging the Asset Administration Shell (AAS), it proposes a Submodel Template, which standardizes the packaging of DT models, interfaces, and computational and network requirements thus going beyond, and combining, existing AAS Submodels, i.e. for simulation models, to encapsulate the full multidimensionality of DTs. A case study on a Quality Monitoring DT (QM-DT) demonstrates the template’s ability to support seamless DT deployment, aggregation, and operation across heterogeneous manufacturing environments. Results show that the template enables structured transfer of subject matter expertise captured in DT models, real-time constraint support, and interoperability, laying the groundwork for improved DT integration and exchange.","url":"https://doi.org/10.1109/case58245.2025.11164130","authors":["Michael Gnadlinger","Dawn M. Tilbury","Kira Barton","Jan Wilch","Birgit Vogel‐Heuser"],"tags":["Computer science","Key (lock)","Asset (computer security)","Constraint (computer-aided design)","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-17","doi":"https://doi.org/10.1109/case58245.2025.11164130","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4306249604","name":"USE CASES FOR DISTRICT-SCALE URBAN DIGITAL TWINS","source":"openalex","abstract":"Abstract. Efficient usage and management of abundant data are crucial for organisations, especially in the light of a lack of in-depth IT knowledge. Digital twins (DTs) are particularly expected to assist organisational processes, as behaviours of physical components are realistically represented by them using data for individual use cases. Nevertheless, DTs are extremely reliant on their use cases, leading to an extensive DT catalogue. However, a conclusive list of use cases for this accumulation of feasible DT application areas does not exist. To address this issue, this paper documents the use cases of Urban Digital Twin (UDT) platforms and applications with a state-of-the-art review. The study focuses on district-scale UDT applications that model, manage and analyse—buildings, transportation, energy, water, utility, and infrastructures that form smart cities. In order to catalogue diverse use cases found in several sectors, theoretical reasoning is developed. Our study provides a classified inventory that can be helpful for stakeholders in companies, government agencies and academia—such as researchers, architects, facilities managers, developers, and city planners.","url":"https://doi.org/10.5194/isprs-archives-xlviii-4-w4-2022-5-2022","authors":["Pradeep Alva","Filip Biljecki","Rudi Stouffs"],"tags":["Scale (ratio)","Order (exchange)","Government (linguistics)","Twin cities","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-14","doi":"https://doi.org/10.5194/isprs-archives-xlviii-4-w4-2022-5-2022","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4408706134","name":"Correction: Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10845-025-02592-7","authors":["Omar Mata","Pedro Ponce","Citlaly Pérez","M. Ramirez-Gonzalez","Brian Anthony","Bradley Russel","Pushkar Apte","Brian MacCleery","Arturo Molina","Citlaly Perez","Miguel Ramirez"],"tags":["Generative grammar","Computer science","Production (economics)","Manufacturing engineering","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-21","doi":"https://doi.org/10.1007/s10845-025-02592-7","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4412906320","name":"Enhancing EV Manufacturing Flexibility through Digital Twin-Based Virtual Commissioning","source":"openalex","abstract":"The transfer of production to electric vehicles (EVs) demands the creation of highly flexible and responsive manufacturing that must fulfill rapid design changes, fluctuating manufacturing volumes, and alternating technologies. Digital twins and virtual commissioning are rapidly emerging as a major source of this flexibility, as they allow manufacturers to simulate, test, and optimize their production systems within a virtual environment before setting them up in the real world. It applies to a live digital mirror of the production line, where mechanical, electrical, and control systems will be incorporated into a single simulation space. Using this digital twin, engineers can prove out automation logic, trace design gaps, and pare and adjust process parameters, saving huge costs and time (and the peril of physical commissioning). It enables early fault detection, code validation, and execution in a variety of operating conditions without live changes. New battery technology, weight-reducing components, and high-voltage components present certain complex manufacturing challenges in EV manufacturing; virtual commissioning makes the process much quicker, and the product launch is faster. It can also be used to develop robotics, IoT, and AI-powered quality control, resulting in smarter and more scalable production systems. To sum up, virtual commissioning and digital twins translate into smarter decisions, reduced time-to-market, and constant improvement, and as such, are one of the key technologies of the next generation of flexible and intelligent EVs production.","url":"https://doi.org/10.52783/jes.9037","authors":["Priyanka Das"],"tags":["Flexibility (engineering)","Project commissioning","Computer science","Computer graphics (images)","Publishing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-25","doi":"https://doi.org/10.52783/jes.9037","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4405153507","name":"Designing a Resilient Hybrid-Modeled Digital Twin for Reliable Manufacturing Processes","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-74482-2_17","authors":["Marcel Wagner","Fábio José Pinheiro Sousa","Ricardo Halla","Orivaldo Santana","Matthias Klar","Jan C. Aurich"],"tags":["Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-74482-2_17","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3190857601","name":"Simulation Optimization for a Digital Twin Using a Multi-Fidelity Framework","source":"openalex","abstract":"Digital twin technology is increasingly ubiquitous in manufacturing and there is a need to increase the efficiency of optimization methods that use digital twins to answer questions about the real system. These methods typically support short-term operational decisions and, as a result, optimization methods need to return results in real or near-to-real time. This is especially challenging in manufacturing systems as the simulation models are typically large and complex. In this article, we describe an algorithm for a multi-fidelity model that uses a simpler low-fidelity neural network metamodel in the first stage of the optimization and a high-fidelity simulation model in the second stage. Initial experimentation suggests that it performs well.","url":"https://doi.org/10.1109/wsc52266.2021.9715498","authors":["Yiyun Cao","Christine Currie","Bhakti Stephan Onggo","Michael Higgins"],"tags":["Fidelity","Computer science","Metamodeling","High fidelity","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-12","doi":"https://doi.org/10.1109/wsc52266.2021.9715498","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3193439139","name":"Digital Twin: A Conceptual View","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-030-77539-1_3","authors":["Josip Stjepandić","Markus Sommer","Sebastian Stobrawa"],"tags":["Product (mathematics)","Service (business)","Product lifecycle","Representation (politics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-23","doi":"https://doi.org/10.1007/978-3-030-77539-1_3","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W3160412362","name":"Process monitoring for material extrusion additive manufacturing: a state-of-the-art review","source":"openalex","abstract":"Abstract Qualitative uncertainties are a key challenge for the further industrialization of additive manufacturing. To solve this challenge, methods for measuring the process states and properties of parts during additive manufacturing are essential. The subject of this review is in-situ process monitoring for material extrusion additive manufacturing. The objectives are, first, to quantify the research activity on this topic, second, to analyze the utilized technologies, and finally, to identify research gaps. Various databases were systematically searched for relevant publications and a total of 221 publications were analyzed in detail. The study demonstrated that the research activity in this field has been gaining importance. Numerous sensor technologies and analysis algorithms have been identified. Nonetheless, research gaps exist in topics such as optimized monitoring systems for industrial material extrusion facilities, inspection capabilities for additional quality characteristics, and standardization aspects. This literature review is the first to address process monitoring for material extrusion using a systematic and comprehensive approach.","url":"https://doi.org/10.1007/s40964-021-00192-4","authors":["Alexander Oleff","Benjamin Küster","Malte Stonis","Ludger Overmeyer"],"tags":["Extrusion","Standardization","Process (computing)","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-05-19","doi":"https://doi.org/10.1007/s40964-021-00192-4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4410235445","name":"WTC-AutoFormer-based additive manufacturing failure prediction in digital twins","source":"openalex","abstract":"Additive Manufacturing (AM) has been widely used in the industrial field. Failures in the manufacturing process may lead to a decrease in product quality and resource waste. Existing research has focused on predicting failures in additive manufacturing. But most of them lack accurate modeling of complex dynamic processes and fail to effectively integrate real-time data and simulation models. To address this challenge, we proposed a novel failure prediction method WTCAutoFormer for additive manufacturing with the additive manufacturing digital twin platform. Firstly, we utilize Wavelet Transform Convolution (WTC) to preprocess the multidimensional sensor data collected during the additive manufacturing process. WTC extracts high-frequency and low-frequency features with wavelet transform to more accurately capture abnormal fluctuations in sensor sequences. Subsequently, we adopt AutoFormer to extract hidden features in sensor sequences. The experimental results show that the proposed method has significant advantages in the accuracy of failure prediction. Compared to traditional prediction methods, WTC-AutoFormer can more accurately identify potential problems and provide warnings, thereby reducing risks and costs in the production process.","url":"https://doi.org/10.1117/12.3066970","authors":["P. M. Pavlenko","Bojian Yu"],"tags":["Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-09","doi":"https://doi.org/10.1117/12.3066970","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4385756642","name":"A Digital Twin Framework for Precision Neuromusculoskeletal Health Care: Extension Upon Industrial Standards","source":"openalex","abstract":"There is a powerful global trend toward deeper integration of digital twins into modern life driven by Industry 4.0 and 5.0. Defense, agriculture, engineering, manufacturing, and urban planning sectors have thoroughly incorporated digital twins to great benefit across their respective product lifecycles. Despite clear benefits, a digital twin framework for health and medical sectors is yet to emerge. This paper proposes a digital twin framework for precision neuromusculoskeletal health care. We build upon the International Standards Organization framework for digital twins for manufacturing by presenting best available computational models within a digital twin framework for clinical application. We map a use case for modeling Achilles tendon mechanobiology, highlighting how current modeling practices align with our proposed digital twin framework. Similarly, we map a use case for advanced neurorehabilitation technology, highlighting the role of a digital twin in control of systems where human and machine are interfaced. Future work must now focus on creating an informatic representation to govern how digital data are passed to, from, and within the digital twin, as well as specific standards to declare which measurement systems and modeling methods are acceptable to move toward widespread use of the digital twin framework for precision neuromusculoskeletal health care.","url":"https://doi.org/10.1123/jab.2023-0114","authors":["David J. Saxby","Claudio Pizzolato","Laura E. Diamond"],"tags":["Digital health","Computer science","Health care","Engineering","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-11","doi":"https://doi.org/10.1123/jab.2023-0114","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4306399934","name":"An AR-assisted Deep Reinforcement Learning-based approach towards mutual-cognitive safe human-robot interaction","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2022.102471","authors":["Chengxi Li","Pai Zheng","Yue Yin","Yat Ming Pang","Shengzeng Huo"],"tags":["Reinforcement learning","Robot","Computer science","Collision avoidance","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-17","doi":"https://doi.org/10.1016/j.rcim.2022.102471","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4408305379","name":"Development and Validation of Digital Twin Behavioural Model for Virtual Commissioning of Cyber-Physical System","source":"openalex","abstract":"Modern manufacturing systems are influenced by the growing complexity of mechatronics, control systems, IIoT, and communication technologies integrated into cyber-physical systems. These systems demand flexibility, modularity, and rapid project execution, making digital tools critical for their design. Virtual commissioning, based on digital twins, enables the testing and validation of control systems and designs in virtual environments, reducing risks and accelerating time-to-market. This research explores the development of digital twin models to bridge the gap between simulation and real-world validation. The models identify design flaws, validate the PLC control code, and ensure interoperability across software platforms. A case study involving a modular Festo manufacturing system modelled in Tecnomatix Process Simulate demonstrates the ability of digital twins to detect inefficiencies, such as collision risks, and to validate automation systems virtually. This study highlights the advantages of virtual commissioning for optimizing manufacturing systems. Communication testing showed compatibility across platforms but revealed limitations with certain data types due to software constraints. This research provides practical insights into creating robust digital twin models, improving the flexibility, efficiency, and quality of manufacturing system design. It also offers recommendations to address current challenges in interoperability and system performance.","url":"https://doi.org/10.3390/app15052859","authors":["Roman Ružarovský","Tibor Horák","Roman Zelník","Richard Skýpala","Martin Csekei","Ján Šido","Eduard Nemlaha","Michal Kopček"],"tags":["Interoperability","Systems engineering","Flexibility (engineering)","Computer science","Modular design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-06","doi":"https://doi.org/10.3390/app15052859","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2800110289","name":"Platform for industrial internet and digital twin focused education, research, and innovation: Ilmatar the overhead crane","source":"openalex","abstract":"The paper presents first experiences on an overhead crane platform targeted for university education, research, and innovation purposes. The main contributions feature a description of projects from the first year after the inauguration of the crane platform. To provide a basic perception on the potential of the platform, the paper presents the basic technical properties as well as opportunities and challenges of the crane platform. Digital Twin concept has been selected as a focus of the research activities on the platform. Hence, the paper reviews status of the term Digital Twin. Results describe experience-based observations on how university should manage an education, research, and innovation platform while collaborating with industry partners.","url":"https://doi.org/10.1109/wf-iot.2018.8355217","authors":["Juuso Autiosalo"],"tags":["Overhead (engineering)","The Internet","Computer science","Focus (optics)","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-02-01","doi":"https://doi.org/10.1109/wf-iot.2018.8355217","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4212983691","name":"Architectural Concerns of Digital Twins","source":"openalex","abstract":"Systems where software and hardware elements need to be designed, deployed, and sustained in orchestration are no longer limited to manufacturing systems such as smart grids, autonomous vehicles, medical monitoring, industrial control, robotics, or avionics. In these systems, the boundaries of software, hardware, and data become hard to isolate and control. Digital twins provide a solution to managing smart manufacturing lifecycles in such systems as well as their operation and maintenance.","url":"https://doi.org/10.1109/ms.2021.3130872","authors":["İpek Özkaya"],"tags":["Avionics","Orchestration","Software","Robotics","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-14","doi":"https://doi.org/10.1109/ms.2021.3130872","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4379108683","name":"Digital Twin Standards, Open Source, and Best Practices","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_18","authors":["JaeSeung Song","Franck Le Gall"],"tags":["Open source","Computer science","Programming language","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-21343-4_18","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4401961843","name":"Enhancing Urban Sustainability and Resilience: Employing Digital Twin Technologies for Integrated WEFE Nexus Management to Achieve SDGs","source":"openalex","abstract":"This research explores the application of digital twin technologies to progress the United Nations’ Sustainable Development Goals (SDGs) within the water-energy-food-environment (WEFE) nexus management in urban refugee areas. The study in Irbid Camp utilizes a detailed 3D Revit model combined with real-time data and community insights processed through advanced machine learning algorithms. An examination of 450 qualitative interviews indicates an 80% knowledge level of water conservation practices among the community but only 35% satisfaction with the current management of resources. Predictive analytics forecast a 25% increase in water scarcity and an 18% surge in energy demand within the next ten years, prompting the deployment of sustainable solutions such as solar energy installations and enhanced rainwater collection systems. By simulating resource allocation and environmental impacts, the digital twin framework helps in planning urban development in line with SDGs 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), and 12 (Responsible Consumption and Production). This investigation highlights the capacity of digital twin technology to improve resource management, increase community resilience, and support sustainable urban growth, suggesting its wider implementation in comparable environments.","url":"https://doi.org/10.3390/su16177398","authors":["Ali Shehadeh","Odey Alshboul","Mai Arar"],"tags":["Nexus (standard)","Resilience (materials science)","Sustainability","Environmental resource management","Environmental planning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-28","doi":"https://doi.org/10.3390/su16177398","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3102819073","name":"Computational Algorithms for Digital Twin Support in Construction","source":"openalex","abstract":"Use of computational algorithms in building information modelling (BIM) software such as Autodesk Revit and Rhinoceros comprise rule-based logical data flows that automate processes and computationally explore large decision space domains. The use of computational algorithms has traditionally been used by architecture firms but is starting to also grow in popularity throughout mainstream construction for automation of design tasks, as-built analysis, and for creation of parametric models. This paper demonstrates how computational algorithms can be used to support digital twins in construction and how these workflows can be used to converge on optimal and heuristic solutions to challenging problems. Two examples are explored in this paper. The first is a computational algorithm addressed at a complex geometric challenge in the processing of architectural cladding panels for manufacturing. The second example is a computational workflow comprised of algorithms that extract and process metadata in BIM for automated egress path compliance checking. Lessons learned from these examples demonstrate the power of computational algorithms for complex and highly repetitive design processes. Computational algorithms are proven herein to explore large decision space domains efficiently, and pre-emptively catch costly design/analysis errors.","url":"https://doi.org/10.1061/9780784482865.021","authors":["Chris Rausch","Benjamin Sanchez","Mansour Esnaashary Esfahani","Carl T. Haas"],"tags":["Computer science","Workflow","Computational complexity theory","Computational resource","Algorithm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-09","doi":"https://doi.org/10.1061/9780784482865.021","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4308450963","name":"A life-cycle digital-twin collaboration framework based on the industrial internet identification and resolution","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-022-10269-1","authors":["Yepeng Fan","Chaoren Dai","Si Huang","Pengcheng Hu","Xiaoyu Wang","Man Yan"],"tags":["Identification (biology)","The Internet","Industrial Internet","Resolution (logic)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-07","doi":"https://doi.org/10.1007/s00170-022-10269-1","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4388771436","name":"A 5M Synchronization Mechanism for Digital Twin Shop-Floor","source":"openalex","abstract":"Abstract In recent years, as a promising way to realize digital transformation, digital twin shop-floor (DTS) plays an important role in smart manufacturing. The core feature of DTS is the synchronization. How to implement and maintain the synchronization is critical for DTS. However, there is still a lack of a common definition for synchronization in DTS. Besides, a systematic synchronization mechanism for DTS is strongly needed. This paper first summarizes the definition and requirements of synchronization in DTS, to clarify the understanding of synchronization in DTS. Then, a 5M synchronization mechanism for DTS is proposed, where 5M refers to multi-system data, multi-fidelity model, multi-resource state, multi-level state, and multi-stage operation. As a bottom-up synchronization mechanism, 5M synchronization mechanism for DTS has the potential to support DTS to achieve and maintain physical-virtual state synchronization, and to realize operation synchronization of DTS. The implementation methods of 5M synchronization mechanism for DTS are also introduced. Finally, the proposed synchronization mechanism is validated in a digital twin satellite assembly shop-floor, which proves the effectiveness and feasibility of the mechanism.","url":"https://doi.org/10.1186/s10033-023-00965-8","authors":["Weiran Liu","Jiangfeng Cheng","Zhiwen Wen","Xiaofu Zou","Z. Wang","Hongting Liu","Fei Tao"],"tags":["Synchronization (alternating current)","Computer science","Data synchronization","Mechanism (biology)","Fidelity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-17","doi":"https://doi.org/10.1186/s10033-023-00965-8","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4404370982","name":"A Comprehensive Review of Digital Twin Technology in Building Energy Consumption Forecasting","source":"openalex","abstract":"With the global rise in urban populations, energy consumption in buildings has become a critical issue, now accounting for about 30% of total global energy use. Developing powerful energy forecasting systems is challenging due to frequent fluctuations in energy demand. The digitalization of building energy forecasting systems, enhanced by Energy Digital Twin technology alongside IoT devices and advanced data-driven algorithms, offers substantial improvements in energy management and optimization, servicing, maintenance, and energy-efficient design. This paper not only presents a literature evaluation categorizing the applications of digital twins in energy consumption forecasting but also conducts a thorough review of digital twin architecture and existing energy forecasting models through a systematic literature review approach. This evaluation enables the classification of studies into areas such as overall energy consumption prediction, HVAC system performance, and indoor air quality improvement, furthering the pursuit of net-zero and positive energy buildings as well as more effective energy systems. Furthermore, the findings and discussions presented in this paper potentially initiate future perspectives in developing a powerful digital twin system for energy forecasting in buildings and underscore the need for further research to address existing gaps and enhance the development of digital twins in building energy management, thereby meeting the sector’s dynamic needs and contributing to global sustainability efforts.","url":"https://doi.org/10.1109/access.2024.3498107","authors":["Maissa Boukaf","Fodil Fadli","Nader Meskin"],"tags":["Computer science","Energy consumption","Consumption (sociology)","Data science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3498107","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3087841695","name":"Creation of digital production twins for the optimization of value creation in single and small batch production","source":"openalex","abstract":"Due to their specific industry characteristics, companies in single and small batch production encounter completely different challenges than companies in series production. The lack of repetitive effects and thus the resulting lack of transparency, complicate the optimization of manufacturing processes. However, the realization of digital production twins promises the exploitation of existing potentials. The digital production twin represents a virtual image of the production process and, in addition to increased transparency regarding the occurring processes, enables data-supported decision making through the usage of individualized digital applications. This paper focusses on the development of a methodology for the creation and implementation of digital production twins in single and small batch production companies.","url":"https://doi.org/10.1016/j.procir.2020.04.125","authors":["Günther Schuh","Christoph Kelzenberg","Jan Wiese","Niklas Kessler"],"tags":["Production (economics)","Transparency (behavior)","Realization (probability)","Process (computing)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.04.125","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4237010657","name":"Digital Twins Technology: A Bird’s Eye-View From Coimbatore Manufacturing Firms","source":"openalex","abstract":"Digital Twins (DT) is ranked top among the top 10 strategic technology trends. It symbolizes the convergence of the physical and virtual world in which every industrial product and prototypes will get a dynamic digital representation. DT is commonly known as a key enabler for the digital transformation. It is regarded as the ‘Mind of a machine’. The aim of this research paper is to provide the awareness level of Coimbatore based manufacturing firms about this Digital Twin concept. Coimbatore is an industrial hub which caters to the need of global manufacturing by supplementing and supplying with adequate raw materials, spares and components.","url":"https://doi.org/10.35940/ijrte.d8504.118419","authors":["S. Anthony Raj","Brandon K. Sai","G. T. Thiru Arooran"],"tags":["Enabling","Key (lock)","Product (mathematics)","Manufacturing engineering","Virtual representation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-11-30","doi":"https://doi.org/10.35940/ijrte.d8504.118419","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3156471857","name":"Industry 4.0 technologies in the manufacturing sector: Are we sure they are all relevant for environmental performance?","source":"openalex","abstract":"Abstract This research contributes to the debate about the relevance of Industry 4.0 technologies in improving environmental performance in the manufacturing industry. We employed a qualitative–quantitative approach in which 19 Italian operations managers were interviewed and 260 managers responded to an online questionnaire. The effects of various technologies were ranked using ordinal regression. Comments and suggestions gave context to the quantitative results. Sensors, radio‐frequency identification, artificial intelligence and analytics were found to be most relevant in improving environmental performance, whereas simulation software contributed moderately. Additive manufacturing, cobots, robots, automated mobile robots and automated guided vehicles had a negative effect, augmented reality had no effect and other technologies indirectly affected environmental performance. We also found a lack of knowledge and application as well as scepticism about technologies such as artificial intelligence and augmented reality. Finally, there was concern about the disposal of electrical and electronic waste produced by these technologies.","url":"https://doi.org/10.1002/bse.2797","authors":["Andrea Chiarini"],"tags":["Context (archaeology)","Relevance (law)","Manufacturing","Robot","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-10","doi":"https://doi.org/10.1002/bse.2797","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3083281809","name":"Digital Twin‐based Safety Evaluation of Prestressed Steel Structure","source":"openalex","abstract":"The safety of prestressed steel structures in service has been studied widely. However, traditional safety assessment methods for prestressed steel structures involve few sample points, do not provide accurate predictions, and consume substantial human and material resources. The digital twin technology can be used to monitor the structural behavior, state, and activity of a steel structure throughout its life cycle, which is equivalent to performing a safety assessment of the structure. The purpose of this study is to establish a digital twin multidimensional model of prestressed steel structures. Based on this model, the support vector machine and prediction model are trained using the relevant structural history data, and the safety risk level of the structure is then predicted based on the measured data. Finally, a proportional reduction model of the wheel‐spoke cable truss structure is used to verify the feasibility of the proposed method. The results show that digital twin technology can achieve real‐time monitoring of prestressed steel structures in use and can provide timely predictions of the safety level. This represents a new method for the safety risk assessment of prestressed steel structures.","url":"https://doi.org/10.1155/2020/8888876","authors":["Zhansheng Liu","Wenyan Bai","Xiuli Du","Anshan Zhang","Zezhong Xing","Antong Jiang"],"tags":["Structural engineering","Forensic engineering","Prestressed concrete","Materials science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1155/2020/8888876","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4317486313","name":"A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing","source":"openalex","abstract":"There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily depend on quality-related information within the supply chain business ecosystem to drive zero-waste value chains. To empower zero-waste value chain strategies with meaningful, reliable, and trustful data, there must be a solution for end-to-end industrial data traceability, trust, and security across multiple process chains or even inter-organizational supply chains. In this paper, we first present Product, Process, and Data quality services to drive zero-waste value chain strategies. Following this, we present the Trusted Framework (TF), which is a key enabler for the secure and effective sharing of quality-related information within the supply chain business ecosystem, and thus for quality optimization actions towards zero-defect manufacturing. The TF specification includes the data model and format of the Process/Product/Data (PPD) Quality Hallmark, the OpenAPI exposed to factory system and a comprehensive Identity Management layer, for secure horizontal- and vertical quality data integration. The PPD hallmark and the TF already address some of the industrial needs to have a trusted approach to share quality data between the different stakeholders of the production chain to empower zero-waste value chain strategies.","url":"https://doi.org/10.1016/j.compind.2023.103853","authors":["Mauro Isaja","Phu H. Nguyen","Arda Göknil","Sagar Sen","Erik Johannes Husom","Simeon Tverdal","Abhilash Anand","Yunman Jiang","Karl John Pedersen","Per Myrseth","Jørgen Stang","Harris Niavis","Simon Pfeifhofer","Patrick Lamplmair"],"tags":["Supply chain","Traceability","Zero waste","Information sharing","Quality (philosophy)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-19","doi":"https://doi.org/10.1016/j.compind.2023.103853","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4386373635","name":"Impact of internet of things and digital twin on manufacturing era","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-323-99205-3.00010-9","authors":["M. Nalini","M.R. Bharathkumar","R. Keerthivasan","N. Nithyashree","V. Dhanashree"],"tags":["Internet of Things","Computer science","Representation (politics)","Object (grammar)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1016/b978-0-323-99205-3.00010-9","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3093230793","name":"Graduation Intelligent Manufacturing System (GiMS): an Industry 4.0 paradigm for production and operations management","source":"openalex","abstract":"Purpose The purpose of this paper is to develop an intelligent manufacturing system for transforming production management and operations to an Industry 4.0 manufacturing paradigm. Design/methodology/approach A manufacturing mode-Graduation Manufacturing System is designed for organizing and controlling production operations. An Industrial Internet of Things (IIoT) and digital twin-enabled Graduation Intelligent Manufacturing System (GiMS) with real-time task allocation and execution mechanisms is proposed to achieve real-time information sharing and production planning, scheduling, execution and control with reduced complexity and uncertainty. Findings The implementation of GiMS in an industrial company illustrates the potential advantages for real-time production planning, scheduling, execution and control with reduced complexity and uncertainty. For production managers and onsite operators, effective tools, such as cloud services integrates effective production and operations management strategies are needed to facilitate their decision-making and daily operations at the operational level. Originality/value This paper presents an Industry 4.0 paradigm-GiMS, which aims to explore Industry 4.0 technologies opportunities on operations and production management, especially on production planning, scheduling, execution and control.","url":"https://doi.org/10.1108/imds-08-2020-0489","authors":["Daqiang Guo","Mingxing Li","Ray Y. Zhong","George Q. Huang"],"tags":["Scheduling (production processes)","Production planning","Production manager","Production (economics)","Manufacturing execution system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-10-15","doi":"https://doi.org/10.1108/imds-08-2020-0489","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2801260649","name":"Integration of digital learning in industry 4.0","source":"openalex","abstract":"The emerging advances in sensor systems, automation and Information and Communication Technology (ICT) for manufacturing opens new possibilities for lifelong learning utilizing data from production. The data can be source for on-the-job practical learning as well as serve as cases for more formal learning situations. This paper proposes a model for company’s implementation of learning, and discusses how this implies a closer integration with the learning activities to the cyber-physical manufacturing system as a seamless, integrated ICT learning and a hybrid human/machine intelligence model where data analysis, simulations and communication are sources for not only decision support, but also continuous learning and knowledge enhancement.","url":"https://doi.org/10.1016/j.promfg.2018.04.027","authors":["Nina Tvenge","Kristian Martinsen"],"tags":["Information and Communications Technology","Knowledge management","Lifelong learning","Computer science","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.1016/j.promfg.2018.04.027","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4294168368","name":"Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability","source":"openalex","abstract":"The United Nations' sustainable development goals have emphasized implementing sustainability to ensure environmental security for the future. Affordable energy, clean energy, and innovation in infrastructure are the relevant sustainable development goals that are applied to the energy sector. At present, digital technologies have a significant capability to realize the target of sustainability in energy. With this motivation, the study aims to discuss the significance of different digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), edge computing, blockchain, and big data and their implementation in the different stages of energy such as generation, distribution, transmission, smart grid, and energy trading. The study also discusses the different architecture that has been implemented by previous studies for smart grid computing. Additionally, we addressed IoT-based microgrids, IoT services in electrical equipment, and blockchain-based energy trading. Finally, the article discusses the challenges and recommendations for the effective implementation of digital technologies in the energy sector for meeting sustainability. Big data for energy analytics, digital twins in smart grid modeling, virtual power plants with Metaverse, and green IoT are the major vital recommendations that are discussed in this study for future enhancement.","url":"https://doi.org/10.3390/s22176619","authors":["Rajesh Singh","Shaik Vaseem Akram","Anita Gehlot","D. Buddhi","Neeraj Priyadarshi","Bhekisipho Twala"],"tags":["Sustainability","Smart grid","Big data","Computer science","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.3390/s22176619","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4401633951","name":"Generative Digital Twins: A Novel Approach in the IoT Edge-Cloud Continuum","source":"openalex","abstract":"Digital Twins (DTs) are software replicas that not only mirrors physical entities but can also proactively predict, control, optimize and simulate their behavior. Born in the manufacturing sector, this concept after an initial hype stayed untouched for decades. The rise of Internet of Things (IoT) and Artificial Intelligence (AI) enabled DT, respectively, to exchange real-world data and to fully exploit it for fulfilling its own goals. Very recently, Gener-ative AI (Gen-AI) methods started being sporadi-cally applied to DT in different contexts and with different targets. After studying the literature, in this article we provide a definition for the Gener-ative DT (GDT) which embraces main distinctive aspects and potential of current and future Gen-Al-aided DTs. In particular, we first disclose the role of Gen-AI in conciliating the model- and the data-driven approach for the development of DTs. Then, we analyze the added value of main Gen-AI architectures for maximizing the performance of DTs operating in the IoT domain and deployed in the edge-cloud continuum. Finally, we illustrate the potential of a GDT in emblematic Smart City scenarios through a use case involving the prediction of vehicles' trajectories when, due to uncontrolled events, only partial information is accessible. The outlined solution conciliates accuracy and explain-ability in the trajectory prediction with overall system robustness and effectiveness.","url":"https://doi.org/10.1109/iotm.001.2400035","authors":["Claudio Savaglio","Vincenzo Barbuto","Fabrizio Mangione","Giancarlo Fortino"],"tags":["Cloud computing","Generative grammar","Enhanced Data Rates for GSM Evolution","Computer science","Internet of Things"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-16","doi":"https://doi.org/10.1109/iotm.001.2400035","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4226367696","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.3403/30397845u","authors":[],"tags":["Automation","Manufacturing engineering","Computer science","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-20","doi":"https://doi.org/10.3403/30397845u","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W7154040611","name":"A management framework for systematic data integration empowered for digital twin in collaborative manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2026.04.017","authors":["Huan Liu","Ting Qu","Shiyong Li","Lin Ma","Kai Zhang","George Q. Huang"],"tags":["Data integration","Process management","Knowledge management","Computer science","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-13","doi":"https://doi.org/10.1016/j.jmsy.2026.04.017","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W2914105871","name":"Digital Twin and Cloud, Fog, Edge Computing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/b978-0-12-817630-6.00008-4","authors":["Fei Tao","Meng Zhang","A.Y.C. Nee"],"tags":["Cloud computing","Edge computing","Interoperability","Computer science","Enhanced Data Rates for GSM Evolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/b978-0-12-817630-6.00008-4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4399030480","name":"A Review of Digital Twin Applications in Various Sectors","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_12","authors":["P. Kanaga Priya","A. Reethika"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-58523-4_12","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4408960508","name":"A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation","source":"openalex","abstract":"The industrial Internet of Things (IIoT) has become an innovative technology that has brought many benefits to industries and organizations. This review presents a comprehensive analysis of IIoT’s applications, highlighting its ability to optimize industrial operations through advanced connectivity, real‐time data exchange, automation, and its importance in the context of Industry 4.0. Emphasizing the distinction between IIoT and traditional IoT, the paper explores how IIoT focuses on enhancing industrial ecosystems and integrating cyber‐physical systems (CPSs). This article explains how to establish a highly linked infrastructure to support cutting‐edge services and ensure greater flexibility and efficiency. It emphasizes the role of the CPS and industrial automation and control systems (IACSs) in realizing the potential of IIoT. Security concerns, an important part of IIoT, are addressed through conversations on protecting networked systems, assuring operational reliability, and emphasizing the need for strong security measures to prevent potential threats and vulnerabilities. Furthermore, critical technologies such as machine learning (ML), artificial intelligence (AI), and various communication protocols, including fifth generation (5G) and message queuing telemetry transport (MQTT), are investigated for their potential to improve system performance and decision‐making processes. In addition, the article also discusses the safety precautions and challenges of using IIoT. Finally, the article emphasizes the importance of addressing security issues in promoting the successful adoption of the IIoT and achieving its expected benefits. This study offers valuable resources for researchers, academics, and decision‐makers to implement IIoT in industrial environments.","url":"https://doi.org/10.1049/ise2/9275962","authors":["Fujun Qiu","Ashwini Kumar","Hu Jiang","Poorva Sharma","Yanping Tang","Y. Xiang","Jie Hong"],"tags":["Internet of Things","Digital transformation","Industrial Internet","Smart manufacturing","Transformation (genetics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/ise2/9275962","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4393210522","name":"A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines","source":"openalex","abstract":"Efficient performance monitoring in production systems holds paramount importance as it enables organizations to optimize their manufacturing processes, enhance productivity, and maintain a competitive edge in the market. Typically, machine and system level performance monitoring systems are investigated independently, whereas an integrated approach that considers both levels can offer valuable insights and benefits. This paper introduces a data-driven approach for evaluating and improving the performance of production lines by monitoring the performance of both individual machines and their interactions as a system. The approach begins with a rigorous methodology for classifying machine states recorded by the Manufacturing Execution System (MES) into finer-grained substates, enabling a comprehensive analysis of machine cycle time variability. Subsequently, these substates are leveraged as a foundation for constructing performance monitoring models at both the machine and system levels, employing probabilistic automata for the machine level and logistic regression for the system level. The system-level performance monitoring model is constructed to predict a Flow metric that enables the prediction of abnormal behaviors and deviations from production targets. This data-driven approach serves as a foundational ingredient of a system-level digital twin, designed to provide production lines with insights that enable proactive implementation of measures aimed at optimizing overall manufacturing efficiency. Through an industrial test case from the automotive industry, the results demonstrate the capability of performance monitoring, capturing errors within confidence intervals, and establishing predictive cause-and-effect relationships between machines within the production system.","url":"https://doi.org/10.1016/j.compind.2024.104086","authors":["Yaqing Xu","Yassine Qamsane","Saumuy Puchala","Annette Januszczak","Dawn M. Tilbury","Kira Barton"],"tags":["Production (economics)","Computer science","Engineering","Manufacturing engineering","Macroeconomics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-26","doi":"https://doi.org/10.1016/j.compind.2024.104086","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4303969227","name":"Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective","source":"openalex","abstract":"Financial management is a critical aspect of firms, and entails the strategic planning, direction, and control of financial endeavors. Risk assessment, fraud detection, wealth management, online transactions, customized bond scheme, customer retention, virtual assistant and so on, are a few of the critical areas where Industry 4.0 technologies intervention are highly required for managing firms' finance. It has been identified from the previous studies that they are limited studies that have addressed the significance and application of integrating of Industry 4.0 technologies such as Internet of Things (IoT), cloud computing, big data, robotic process automation (RPA), artificial intelligence (AI), Blockchain, Digital twin, and Metaverse. With the motivation from the above aspects, this study aims to discuss the role of these technologies in the area of financial management of a firm. Based up on the analysis, it has been concluded that these technologies assist to credit risk management based on real-time data; financial data analytics of risk assessment, digital finance, digital auditing, fraud detection, and AI- and IoT- based virtual assistants. This study recommended that digital technologies be deeply integrated into the financial sector to improve service quality and accessibility, as well as the creation of innovative rules that allow for healthy competition among market participants.","url":"https://doi.org/10.3390/electronics11193252","authors":["Deepa Bisht","Rajesh Singh","Anita Gehlot","Shaik Vaseem Akram","Aman Singh","Elisabeth Caro Montero","Neeraj Priyadarshi","Bhekisipho Twala"],"tags":["Financial services","Big data","Audit","Analytics","Finance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-10","doi":"https://doi.org/10.3390/electronics11193252","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4319037055","name":"Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems","source":"openalex","abstract":"Anomaly detection is critical to ensure the security of cyber-physical systems (CPS) . However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in CPS is becoming more and more challenging. In our previous work, we proposed a digital twin-based anomaly detection method, called ATTAIN, which takes advantage of both historical and real-time data of CPS. However, such data vary significantly in terms of difficulty. Therefore, similar to human learning processes, deep learning models (e.g., ATTAIN) can benefit from an easy-to-difficult curriculum. To this end, in this paper, we present a novel approach, named digitaL twin-based Anomaly deTecTion wIth Curriculum lEarning ( LATTICE ) , which extends ATTAIN by introducing curriculum learning to optimize its learning paradigm. LATTICE attributes each sample with a difficulty score, before being fed into a training scheduler. The training scheduler samples batches of training data based on these difficulty scores such that learning from easy to difficult data can be performed. To evaluate LATTICE, we use five publicly available datasets collected from five real-world CPS testbeds. We compare LATTICE with ATTAIN and two other state-of-the-art anomaly detectors. Evaluation results show that LATTICE outperforms the three baselines and ATTAIN by 0.906%-2.367% in terms of the F1 score. LATTICE also, on average, reduces the training time of ATTAIN by 4.2% on the five datasets and is on par with the baselines in terms of detection delay time.","url":"https://doi.org/10.1145/3582571","authors":["Qinghua Xu","Shaukat Ali","Tao Yue"],"tags":["Anomaly detection","Computer science","Curriculum","Artificial intelligence","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-02","doi":"https://doi.org/10.1145/3582571","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3144752652","name":"A Design of Digital Twins for Supporting Decision-Making in Production Logistics","source":"openalex","abstract":"Recent studies suggest that data-driven decision-making facilitated by Digital Twins (DTs) may be essential for optimizing resources and diversifying value creation in production logistics. However, there exists limited understanding about the design of DTs in production logistics. Addressing this issue, this study proposes a process for the design of DTs in production logistics. This study extends related works describing the dimensions of DTs in manufacturing, and adopts a process perspective based on production development literature. The results present a process for the design of DTs including activities in pre-study, conceptual, and detailed design phases corresponding to five DT dimensions. The proposed process is validated during the development of a DT in a production logistics lab at an academic environment. The findings of this study may be essential for avoiding misplaced resources and lost opportunities in the design of DTs in production logistics, and facilitating the planning and resource allocation.","url":"https://doi.org/10.1109/wsc48552.2020.9383863","authors":["Yongkuk Jeong","Erik Flores-García","Magnus Wiktorsson"],"tags":["Production (economics)","Process (computing)","Computer science","Process management","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-14","doi":"https://doi.org/10.1109/wsc48552.2020.9383863","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3087005610","name":"Operating Digital Manufacturing in Industry 4.0: the role of advanced manufacturing technologies","source":"openalex","abstract":"This study analyzes the application domain of Digital Manufacturing while considering the new industrial paradigm. Based on content analysis, joint applications of digital manufacturing tools and advanced manufacturing technologies are framed and technological trends identified. The results reveal a new comprehensive framework that defines the application domain of digital manufacturing in Industry 4.0, as well as how digital manufacturing operates within Industry 4.0. The presented framework covers manufacturing life cycle phases, digital manufacturing tools used in each phase, and Industry 4.0 technologies used with the respective tools. The study contributes by positioning digital manufacturing conceptually and delimiting its application domain.","url":"https://doi.org/10.1016/j.procir.2020.04.063","authors":["Elias Ribeiro da Silva","Ana Carolina Shinohara","Christian P. Nielsen","Edson Pinheiro de Lima","Jannis Angelis"],"tags":["Manufacturing engineering","Advanced manufacturing","Digital manufacturing","Manufacturing","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1016/j.procir.2020.04.063","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4383620094","name":"Digital twin-driven green material optimal selection and evolution in product iterative design","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40436-023-00450-4","authors":["Feng Xiang","Ya-Dong Zhou","Zhi Zhang","Xiaofu Zou","Fei Tao","Ying Zuo"],"tags":["Selection (genetic algorithm)","Iterative design","Product (mathematics)","Computer science","Field (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-08","doi":"https://doi.org/10.1007/s40436-023-00450-4","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4206102737","name":"A Novel Embedding Model Based on a Transition System for Building Industry-Collaborative Digital Twin","source":"openalex","abstract":"Recently, the production environment has been rapidly changing, and accordingly, correct mid term and short term decision-making for production is considered more important. Reliable indicators are required for correct decision-making, and the manufacturing cycle time plays an important role in manufacturing. A method using digital twin technology is being studied to implement accurate prediction, and an approach utilizing process discovery was recently proposed. This paper proposes a digital twin discovery framework using process transition technology. The generated digital twin will unearth its characteristics in the event log. The proposed method was applied to actual manufacturing data, and the experimental results demonstrate that the proposed method is effective at discovering digital twins.","url":"https://doi.org/10.3390/app12020553","authors":["Minyeol Yang","Junhyung Moon","Jongpil Jeong","Seokho Sin","Jimin Kim"],"tags":["Computer science","Term (time)","Embedding","Process (computing)","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-06","doi":"https://doi.org/10.3390/app12020553","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3157665091","name":"A new intelligent and data-driven product quality control system of industrial valve manufacturing process in CPS","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.comcom.2021.04.022","authors":["Jihong Pang","Nan Zhang","Quan Xiao","Faqun Qi","Xiaobo Xue"],"tags":["Computer science","Manufacturing engineering","Quality (philosophy)","Process (computing)","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-29","doi":"https://doi.org/10.1016/j.comcom.2021.04.022","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4412417953","name":"Digital Twin Technology for Renewable Energy, Smart Grids, Energy Storage and Vehicle‐to‐Grid Integration: Advancements, Applications, Key Players, Challenges and Future Perspectives in Modernising Sustainable Grids","source":"openalex","abstract":"ABSTRACT To address the challenges faced by modern power systems—such as efficiency, dynamics, reliability, control, stability, economy and planning—significant efforts have been made to develop advanced techniques, tools and scientific innovations across various disciplines. Among these, the ‘digital twin’ (DT) has emerged as one of the most reliable and rapidly evolving technologies, now widely integrated into diverse applications. The incorporation of DT technology into energy systems marks a paradigm shift in achieving sustainable, efficient and resilient modern power grids. Although considerable research has been conducted on DT applications in the power sector, comprehensive reviews of its role in transforming power grids to accommodate high levels of renewable energy sources (RESs), smart grid technologies, vehicle‐to‐grid (V2G) systems and energy storage solutions remain limited. This paper seeks to bridge that gap by exploring the critical role of DT technology in this transformation. It examines the historical evolution, fundamental components and diverse applications of DT technology across modern grid systems. Detailed analyses focus on DT's application in modernising power grids, particularly in RES integration, energy storage, transmission and distribution, smart grid advancements and V2G systems. Additionally, the paper reviews progress, investments, standards, regulations and the key stakeholders driving DT advancements in power grids. Finally, major challenges, limitations and future perspectives for DT applications in next‐generation power grids are discussed. Key findings reveal that while DT technology delivers significant benefits—such as improved operational efficiency, enhanced grid stability, greater reliability, cost reduction, cybersecurity and resilience through real‐time monitoring, predictive maintenance and optimised energy management—addressing existing limitations is crucial to maximising DT's potential in advancing and modernising sustainable power grids.","url":"https://doi.org/10.1049/stg2.70026","authors":["Ali Q. Al‐Shetwi","Ibrahem E. Atawi","Mohamed A. El‐Hameed","Ahmad Abuelrub"],"tags":["Key (lock)","Renewable energy","Smart grid","Sustainable energy","Grid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/stg2.70026","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4244174578","name":"Digital twins of mechatronic machine tools for modern manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.15660/auofmte.2019-2.3463","authors":["A A Kutin","V V Bushuev","V V Molodtsov"],"tags":["Mechatronics","Manufacturing engineering","Computer science","Engineering","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.15660/auofmte.2019-2.3463","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4226224055","name":"Automation systems and integration. Digital twin framework for manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.3403/30397845","authors":[],"tags":["Automation","Computer science","Manufacturing engineering","Systems engineering","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-10-20","doi":"https://doi.org/10.3403/30397845","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W4289316249","name":"Symbiotic Evolution of Digital Twin Systems and Dataspaces","source":"openalex","abstract":"This paper proposes to combine the concept of digital twins with the concept of dataspaces to fulfill the original expectation that a digital twin is a comprehensive virtual representation of physical assets. Based upon a terminological and conceptual discussion of digital twins and dataspaces, this paper claims that a systemic approach towards digital twin Systems is required. The key conceptual approach consists of a Reference Model for Digital Twin Systems (DTS-RM) and a hypothesis regarding a symbiotic evolution. The DTS-RM distinguishes between a digital twin back-end platform comprising the access and management of comprehensive digital twin instances and digital twin-related services, and digital twin front-end services that are tailored to the demands of applications and users. The main purpose of the back-end platform is to decouple the digital twin’s generation and management from the usage of the digital twin for applications.","url":"https://doi.org/10.3390/automation3030020","authors":["Thomas Usländer","Michaël Baumann","Stefan Boschert","Roland Rosen","Olaf Sauer","Ljiljana Stojanović","Jan Christoph Wehrstedt"],"tags":["Computer science","Representation (politics)","Key (lock)","Computer security","Law"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-08-01","doi":"https://doi.org/10.3390/automation3030020","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"oa:W3006468534","name":"LEAN MANUFACTURING THROUGH THE USAGE OF A DIGITAL TWIN TECHNOLOGY","source":"openalex","abstract":"","url":"https://doi.org/10.5593/sws.iscss.2019.2/s05.077","authors":["Zdeňka Videcká","Zdenka Videcka"],"tags":["Computer science","Lean manufacturing","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-08-20","doi":"https://doi.org/10.5593/sws.iscss.2019.2/s05.077","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1080/27525783.2026.2722422","name":"A perspective on component-level digital twins for surface marine propulsion system health monitoring: need and feasibility","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2722422","authors":["Mihiran Galagedarage Don","Ghazanfar Mehdi","Riku Ala-Laurinaho","Mikko Suominen","Mashrura Musharraf","Osiris A. Valdez Banda","Junhe Lian","Amin Etminan","Ossi Kaario","Sven Bossuyt","Pedro Vilaça"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T11:45:47Z","doi":"10.1080/27525783.2026.2722422","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1360/ssi-2025-0365","name":"A decentralized real-time  data integrity auditing for intra-twin and inter-twin communication in a vehicle digital twin network.","source":"crossref","abstract":"","url":"https://doi.org/10.1360/ssi-2025-0365","authors":["Yongfa Li","Jingfang Xu","Jianqun Cui","Shengxun Li","Daichuan Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-03T08:37:06Z","doi":"10.1360/ssi-2025-0365","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1080/27525783.2026.2708373","name":"Bridging interpretability and real-time performance in digital twins: a multi-model fusion approach for power equipment condition monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2708373","authors":["Lele Luo","Heming Zhang","Weiqi Qin","Jian Chen","Wenlei Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-09T04:36:51Z","doi":"10.1080/27525783.2026.2708373","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_41","name":"Advancing Manufacturing With Industry 5.0: Cobots, Digital Twins and Smart Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_41","authors":["Vasanthi Govindaraj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:51:43Z","doi":"10.1007/978-3-031-91500-0_41","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1109/jiot.2024.3394244","name":"Intelligent Wearable System With Motion and Emotion Recognition Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jiot.2024.3394244","authors":["Feng Yu","Chenyu Yu","Zhangyuan Tian","Xiaoxiao Liu","Jiacheng Cao","Li Liu","Chenghu Du","Minghua Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-26T18:04:19Z","doi":"10.1109/jiot.2024.3394244","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1002/9781394365371.ch12","name":"Future Development of Digital Manufacturing Science","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394365371.ch12","authors":["Alok Kumar","Sachin Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:41:32Z","doi":"10.1002/9781394365371.ch12","addedAt":"2026-09-01T01:47:43.714Z","updatedAt":"2026-09-01T01:47:43.714Z"},{"id":"doi:10.1016/j.jmsy.2022.07.014","name":"AML-based web-twin visualization integration framework for DT-enabled and IIoT-driven Manufacturing system under I4.0 workshop","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2022.07.014","authors":["Kai Ding","Liu-qun Fan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-08T20:08:51Z","doi":"10.1016/j.jmsy.2022.07.014","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003678076-1","name":"Introduction to Manufacturing in the Digital Age","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003678076-1","authors":["Mohan Kumar Pradhan","Surabhi Mahana","J. Paulo Davim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-14T14:03:17Z","doi":"10.1201/9781003678076-1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394474486.ch3","name":"Fundamental Concepts","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.ch3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.ch3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/979-8-3373-7785-8.ch010","name":"Human-Centric Digital Twins for Road Safety and Future Autonomous Mobility","source":"crossref","abstract":"The resilience of urban transportation systems, as a key component of sustainable development, has played a significant role in urban planning over the past few years. There is a need for new data-driven approaches and advanced simulations to mitigate the consequences of climate change, the expansion of transport networks, and the growing number of vulnerable users. In the meantime, the concept of a digital twin as a dynamic virtual model capable of representing and simulating, monitoring, and analyzing real systems in near real-time rapidly expanded in the field of urban transportation technology. In fact, this part of the present study, which aims to explain the role of digital twins in promoting the resilience of urban transport systems, examines the foundations and methods of spatial modelling, as well as the practical applications of this approach. The primary focus of this section is on integrating spatial data (GIS), transport networks, and a human-centered approach in safety and resilience analysis, particularly for vulnerable users.","url":"https://doi.org/10.4018/979-8-3373-7785-8.ch010","authors":["Zahra Yaghoobloo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T15:49:29Z","doi":"10.4018/979-8-3373-7785-8.ch010","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-031-76564-3_4","name":"Digital Twin: Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76564-3_4","authors":["Sunil Gupta","Ravi S. Iyer","Sanjeev Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T13:31:52Z","doi":"10.1007/978-3-031-76564-3_4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003678076-5","name":"Sustainable Manufacturing Practices in the Digital Age","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003678076-5","authors":["Amit Kumar","Mohan Kumar Pradhan","Virendra Pratap Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-14T14:03:17Z","doi":"10.1201/9781003678076-5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-13812-6.00002-6","name":"Business models and supply chain strategy for digital manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-13812-6.00002-6","authors":["Geoffrey A. Chua","Edward Dale Davis","S. Viswanathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-21T07:30:38Z","doi":"10.1016/b978-0-443-13812-6.00002-6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1109/iceiec54567.2022.9835088","name":"Digital Twin Riverbasin and Digital Riverbasin Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceiec54567.2022.9835088","authors":["Li Wenzheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-28T19:47:24Z","doi":"10.1109/iceiec54567.2022.9835088","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5194/egusphere-egu26-17814","name":"LINK Urban Digital Twinning (LINKUDT): Advancing Climate Adaptation and Planning Acceleration through Interoperable Digital Twin Ecosystems","source":"crossref","abstract":"The accelerating impacts of climate change and subsequent impact on urban environments such as flooding risks, extreme heat and heavy rain, necessitate rapid and integrated planning strategies. Urban Digital Twins (UDT) have emerged as valuable tools, offering the ability to dynamically model, simulate, and visualize complex processes to support data-driven decision-making. However, a comprehensive strategy that supports the integration of the multitude of UDTs that is being developed specifically into climate adaptation measures, while ensuring interoperability, digital sovereignty and stakeholder participation, is still lacking.This contribution introduces the collaborative project LINKUDT (“Coordination and Collaboration Platforms for the Synergetic Conception, Development, Interoperability, and Digital Sovereignty of Urban Digital Twins”). Funded by the German Federal Ministry of Research, Technology and Space for a duration of 48 months, LINKUDT serves as the overarching companion research project for six regional real-world laboratories across Germany. The primary objective of the project is to establish UDTs as central instruments for speeding up urban planning processes to improve climate adaptation and sustainable urban development by identifying synergies and supporting interoperability.A core challenge addressed by LINKUDT is the creation of interoperable and sustainable data infrastructures. Following the FAIR principles (Findable, Accessible, Interoperable, Reusable), the project aims at advancing standards that allow for the efficient integration of heterogeneous data sources, such as sensor networks and environmental models. To prevent vendor lock-in and ensure long-term data portability, LINKUDT emphasizes digital sovereignty through the use and further development of open-source software modules and standards (e.g., OGC API Processes, SensorThings API, CityGML).Further key outcomes of LINKUDT include training modules for stakeholders /e.g. public administration, developers), and policy recommendations for the nationwide application of digital twin technologies.By linking the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth) with administrative data infrastructures (GDI-DE), LINKUDT creates a scalable model for evidence-based urban governance. With our contribution we aim to reach out to further digital twin initiatives related to climate change to initiate further exchange on interoperability, digital sovereignty and emerging technologies.","url":"https://doi.org/10.5194/egusphere-egu26-17814","authors":["Simon Jirka","Jörg Radtke","Julia Reiß"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-14T03:51:51Z","doi":"10.5194/egusphere-egu26-17814","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.6384342","name":"Study on Microstructure and Mechanical Properties of Multi-Layer Multi-Bead High-Strength Steel Fabricated by Heterogeneous Wire-Feed Assisted Twin-Wire Twin-Arc Additive Manufacturing","source":"crossref","abstract":"This study employed twin-wire twin-arc additive manufacturing (TWA-AM) technology, introducing a heterogeneous feed wire (316L stainless steel) through composition design. This wire synergized with the twin-wire (H08Mn2Si low-carbon steel) to fabricate multi-layer, multi-pass high-strength steel components. The microstructure, crystal structure, and mechanical properties of these components were systematically investigated. Results indicate that under process parameters of 6 m/min for the external wire feed and 8 m/min for the dual wire feed, the components formed well with a deposition rate reaching 10.6 kg/h. The microstructure predominantly consisted of lath martensite, showing significant crystallographic anisotropy: the average grain sizes along the X, Y, and Z directions were 9.35 am, 19.38 am, and 15.4 am, respectively. The X direction showed superior isotropy, while the Y and Z directions displayed preferred orientation tendencies along the &lt;101&gt; and &lt;111&gt;, and &lt;101&gt; crystal directions, respectively. The Z direction predominantly featured low-angle grain boundaries, while the X and Y directions exhibited high-angle grain boundaries. Mechanical properties also demonstrated remarkable anisotropy: the tensile strengths along the X, Y, and Z directions were 958.9 ± 64 MPa, 1017.3 ± 21 MPa, and 889.9 ± 16 MPa, respectively; elongations were 6.2 ± 5.8%, 12.1 ± 2.3%, and 8.7 ± 1.1%, respectively; and impact toughness values were 303.15 ± 28 J/cm2, 319.8 ± 36 J/cm2, and 292 ± 4 J/cm2, respectively. The overlapping direction (Y) exhibited the optimal overall performance, while the interlayer direction (Z) showed the lowest. Both tensile and impact fractures were primarily characterized by ductile failure. This process not only ensures high deposition efficiency but also achieves strength and ductility meeting high-strength steel standards, fulfilling industrial application requirements.","url":"https://doi.org/10.2139/ssrn.6384342","authors":["Menglei Zhu","Dongqing Yang","Zhongliang Jiang","Xiaopeng Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-10T08:40:59Z","doi":"10.2139/ssrn.6384342","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-031-89654-5_11","name":"Digital Twin–Based Enterprise Ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-89654-5_11","authors":["Deepali Kholkar","Suman Roychaudhary","Sreedhar Reddy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-10T09:24:24Z","doi":"10.1007/978-3-031-89654-5_11","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003425724-16","name":"Digital Twin Model Formal Specification and Software Design","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-16","authors":["Yevgeniya Sulema","Andreas Pester","Ivan Dychka","Olga Sulema"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-16","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.17580/gzh.2026.05.04","name":"From MGIS to digital platform and digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.17580/gzh.2026.05.04","authors":["S. V. Lukichev","O. V. Nagovitsyn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-02T12:09:17Z","doi":"10.17580/gzh.2026.05.04","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-031-76564-3_7","name":"Digital Twin: Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76564-3_7","authors":["Sunil Gupta","Ravi S. Iyer","Sanjeev Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T08:31:18Z","doi":"10.1007/978-3-031-76564-3_7","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.47330/cbc.2021.ovri6760","name":"Digital Twins and Blockchain: How Trustworthy Data Exchange Can Drive Better Business in Construction and Beyond","source":"crossref","abstract":"Advanced digital technology including Digital Twins and Blockchain promise significant improvements in efficiency and innovation in the physical world of construction by streamlining processes through automation, and improving operations through detailed data insights. However, this opportunity comes with a risk: importing data and software from external parties creates a complex and fast-moving supply chain that requires constant verification, else bad data can poison automata and compromise business operations. This work presents Dynamic Resilience: a paradigm for trustworthy contextual decision-making based on zero trust principles that aim to keep operations safe and secure even with changing conditions and emerging threats.","url":"https://doi.org/10.47330/cbc.2021.ovri6760","authors":["Jon Geater"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.ovri6760","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00032-1","name":"Digital twin in smart education: Challenges, limitations, and case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00032-1","authors":["Mohamed S. Abdalzaher"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00032-1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00170-021-08475-4","name":"Toward digital validation for rapid product development based on digital twin: a framework","source":"crossref","abstract":"Abstract Product development should cover product design, validation, and manufacturing. In traditional product development, physical validation based on physical trial manufacturing is the key step to confirm the design scheme before physical manufacturing. However, physical validation is costly and inefficient, which could be the main obstacle to achieving rapid product development. The emergence of digital twin provides an opportunity to accelerate product development by eliminating physical validation toward digital validation in the smart manufacturing era. Therefore, a framework of rapid product development based on digital twin is proposed in this paper. During product development, the new product is designed according to the new requirements in the virtual space, in which the existing digital twins of products can be referenced. Then, an ultrahigh-fidelity virtual manufacturing system is constructed for digital trial manufacturing based on the digital twin of the manufacturing system and the design scheme of the new product. An ultrahigh-fidelity digital prototype can be obtained from digital trial manufacturing for digital validation. The new product validation is executed on the digital prototype to test its performance. The digital validation results can be used to improve the design scheme of the new product and boost the corresponding manufacturing processes. In addition, the core characteristics and key technologies of rapid product development based on digital twin are discussed. Finally, a case study is presented to implement the proposed framework and to show the effectiveness of accelerating product development.","url":"https://doi.org/10.1007/s00170-021-08475-4","authors":["Sihan Huang","Guoxin Wang","Dong Lei","Yan Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-01-01T02:16:29Z","doi":"10.1007/s00170-021-08475-4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-032-09806-1_25","name":"Cross-Validation Comparison of Digital Twin Approaches Based on Simulated and Measured Road Roughness for Predicting Component Life in Articulated Haulers","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-09806-1_25","authors":["Joel Cramsky","Manoranjan Kumar","Ellen Rieloff","Magnus Andersson","Per-Olof Danielsson","Welf Löwe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-09T16:52:00Z","doi":"10.1007/978-3-032-09806-1_25","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00027-8","name":"Digital twin technology for student healthcare in smart schools","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00027-8","authors":["Zahra Rizvi","Aida Ghazizadeh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00027-8","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.7753/ijsea1205.1033","name":"Digital Art Design Thinking Mining Information Platform Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.7753/ijsea1205.1033","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-20T12:15:24Z","doi":"10.7753/ijsea1205.1033","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-032-18786-4_17","name":"Offsite Development of Control Solutions Using Digital Twin Technology: Integration of the Digital Elements Within Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-18786-4_17","authors":["Andrei Alexandru Cristea","Silviu Răileanu","Ionuţ Lenţoiu","Theodor Borangiu","Ionuţ Valentin Cristea"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T02:52:57Z","doi":"10.1007/978-3-032-18786-4_17","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-41632-3.00002-3","name":"Digital twin-assisted adaptive video streaming optimization in the smart classroom","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-41632-3.00002-3","authors":["Xinyu Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T21:00:19Z","doi":"10.1016/b978-0-443-41632-3.00002-3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/978-1-6684-7548-5.ch004","name":"The DIM Approach for Digital Twin","source":"crossref","abstract":"In the era of connections and information and communication technologies, the building industry is facing the challenge of digitization at the building and urban scale. Several researches have been carried out to generate virtual city models to manage and represent a variety of data to reach the smart city concept. Therefore, the development of building/urban digital twins is directly linked to the definition of innovative methods and tools that are able to collect, organize, query heterogeneous data to make it available for the various involved actors. This chapter aims at presenting the district information modelling methodology that is strictly related to the digital twin concept, starting with data domains, arriving at the various tools developed to reach the users' needs.","url":"https://doi.org/10.4018/978-1-6684-7548-5.ch004","authors":["Matteo Del Giudice"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-05T09:57:01Z","doi":"10.4018/978-1-6684-7548-5.ch004","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394411337.ch5","name":"AI‐driven Digital Twin Framework for Securing 6G Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch5","authors":["Pasham SOWMYA","T. Monika SINGH","C. Kishor Kumar REDDY"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1109/tase.2025.3579689","name":"Digital Genealogy: AIGC-Driven Evolution of Digital Twin for Future Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tase.2025.3579689","authors":["Lei Ren","Jiabao Dong","Xianchao Zeng","Lingyuan Yang","Yuqing Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-17T13:44:05Z","doi":"10.1109/tase.2025.3579689","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.4324/9781032693415-18","name":"SFI Manufacturing – facts","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-18","authors":["Sverre Gulbrandsen-Dahl","Halvor Holtskog","Heidi C. Dreyer","Einar L. Hinrichsen","Gabor Sziebig","Håkon Raabe","Kristian Martinsen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-18","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1142/9789819824625_0007","name":"Digital Transportation Management in Developed Countries","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0007","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0007","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394474486.ch5","name":"Platform 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.ch5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.ch5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003507390-3","name":"Digital Twins for the Agriculture Sector","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-3","authors":["Hrishikesh Kokate","Abhijit Vhatkar","Alex Khang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-323-95062-6.00011-5","name":"Polymer materials for additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95062-6.00011-5","authors":["Jia An"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-30T10:54:25Z","doi":"10.1016/b978-0-323-95062-6.00011-5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.69894/20250102","name":"The Digital Twin revisited","source":"crossref","abstract":"Oil IT Journal editor stumbles across ‘data assimilation’, a group of methodologies that the weather forecasting community uses for rapid update of forecasting models. In other words, just what a ‘digital twin’ might need. But it appears that the ‘assimilation’ and ‘twin’ communities live in parallel worlds. Oil IT Journal investigates with help from assimilation guru Geir Evensen from Norway’s NORCE research organization.","url":"https://doi.org/10.69894/20250102","authors":["Neil McNaughton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T12:26:35Z","doi":"10.69894/20250102","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.3390/sym13081438","name":"Digital Twin-Driven Tool Wear Monitoring and Predicting Method for the Turning Process","source":"crossref","abstract":"Accurate monitoring and prediction of tool wear conditions have an important influence on the cutting performance, thereby improving the machining precision of the workpiece and reducing the production cost. However, traditional methods cannot easily achieve exact supervision in real time because of the complexity and time-varying nature of the cutting process. A method based on Digital Twin (DT), which establish a symmetrical virtual tool system matching exactly the actual tool system, is presented herein to realize high precision in monitoring and predicting tool wear. Firstly, the framework of the cutting tool system DT is designed, and the components and operations rationale of the framework are detailed. Secondly, the key enabling technologies of the framework are elaborated. In terms of the cutting mechanism, a virtual cutting tool model is built to simulate the cutting process. The modifications and data fusion of the model are carried out to keep the symmetry between physical and virtual systems. Tool wear classification and prediction are presented based on the hybrid-driven method. With the technologies, the physical–virtual symmetry of the DT model is achieved to mapping the real-time status of tool wear accurately. Finally, a case study of the turning process is presented to verify the feasibility of the framework.","url":"https://doi.org/10.3390/sym13081438","authors":["Kejia Zhuang","Zhenchuan Shi","Yaobing Sun","Zhongmei Gao","Lei Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-05T21:43:53Z","doi":"10.3390/sym13081438","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1108/978-1-83708-112-720261002","name":"The Evolution of Human Resource Management: From Traditional Practices to Digital Twin-driven Approaches","source":"crossref","abstract":"With the advent of time, the traditional human resource (HR) practices faded to meet the advances and requisites of keeping the pace with the ongoing revolution in the HR industry. This evolution from traditional practices to digital twin-driven approaches have significantly marked a change in the way businesses handle their employees. This chapter examines the transformation of human resource management (HRM) from traditional practices to the contemporary digital twin-driven methodologies. It explores the key characteristics, benefits, and challenges at each stage of evolution, highlighting how digital twin technology revolutionizes HRM. It also imparts an analysis of the strategic consequences of this transition for the success of organizations and suggests a paradigm for adopting HRM powered by digital twins. However, both concepts under investigation are gaining increasing attention in the literature, and the research gap widens further when considering their associated perspectives. Moreover, there is a notable lack of literature that focuses on the negative aspects of this advanced technology. This chapter proposes a framework for showing the evolution stages and the smooth transition of HR practices from traditional to modern.","url":"https://doi.org/10.1108/978-1-83708-112-720261002","authors":["Ruchi Verma","Rashmi Mathur","Saloni Pahuja","Pawan Kumar","Sumesh Dadwal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-05T11:49:18Z","doi":"10.1108/978-1-83708-112-720261002","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394474486.ch2","name":"New Functionalities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.ch2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.ch2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.4038241","name":"Digital Twin for the Industry 4.0: Overview, Challenges, and Opportunities","source":"crossref","abstract":"The fast industrial development and the digital transformation have created a technology known as Digital Twin (DT) which exhibits the potential to break the barrier between physical and cyber spaces. DT is a virtual and dynamic model enabled through a bidirectional data flow that develops high fidelity models with interconnection and merging between the physical and the digital system for a total integration. Regarding intelligent manufacturing, it is being increasingly involved in research initiatives and in industry; however, the research works carried out do not provide a unique definition or a unique fully connected model The present document reviews the state of the art of DT through information collection, descriptive analysis and discussion, to know the enabling technologies and architectures used in industry to open the opportunities and challenges that currently arise, thus providing a fast and concrete description. Research works show that the DT is a key factor to create virtual environments and strengthen the applications between real and digital worlds, leading to an improvement of manufacturing processes prior to their implementation; moreover, they propose simulation studies where promising results and architectures are obtained that may be implemented in an industrial process using artificial intelligence techniques.","url":"https://doi.org/10.2139/ssrn.4038241","authors":["Gustavo Caiza","Ricardo Sanz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-02-18T22:07:36Z","doi":"10.2139/ssrn.4038241","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394390205.oth","name":"Also of Interest","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.oth","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.oth","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/978-1-6684-9848-4.ch009","name":"A Ship Digital Twin for Safe and Sustainable Ship Operations","source":"crossref","abstract":"Shipping is responsible for over 90% of global trade. Although it is generally considered a safe and clean mode of transportation, it still has a significant impact on the environment. Thus, state-of-the-art models that may contribute to the sustainable management of the life cycle of shipping operations without compromising safety standards are urgently needed. This chapter discusses the potential of artificial intelligence (AI) based digital twin models to monitor ship safety and efficiency. A paradigm shift is introduced in the form of a model that can predict ship motions and fuel consumption under real operational conditions using deep learning models. A bi-directional long short-term memory (LSTM) network with attention mechanisms is used to predict ship fuel consumption and a transformer neural network is employed to capture ship motions in realistic hydrometeorological conditions. By comparing the predicted results with available full scale measurement data, it is suggested that following further testing and validation, these models could perform satisfactorily in real conditions. Accordingly, they could be integrated into a framework for safe and sustainable ship operations.","url":"https://doi.org/10.4018/978-1-6684-9848-4.ch009","authors":["Spyros Hirdaris","Mingyang Zhang","Nikos Tsoulakos","Pentti Kujala"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-09T10:42:25Z","doi":"10.4018/978-1-6684-9848-4.ch009","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003492146-2","name":"Architecture Concepts of Digital Twins","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-2","authors":["Florian Klinger","Johannes Edelmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.18690/um.fov.4.2024.51","name":"How are Companies Strategizing with Digital Transformation to Integrate Sustainability Objectives?","source":"crossref","abstract":"Digitalization offers innovative solutions through which firms can address sustainable challenges and be sustainable in the long run. The implementation of digitalization for sustainability sake can create both positive and negative impacts internally and externally to a business. While digital technologies can optimize resource management and enhance social outcomes, they also pose risks of increased energy consumption and e-waste generation. This research aims to explore how firms can balance the benefits of digitalization with that of the associated risks to enhance sustainability performance. By investigating the dynamics between digital transformation strategies, business models, and sustainability, it seeks to create new knowledge on the method of how digital sustainability should work. The paper will employ a multiple case study approach with qualitative and quantitative data collection methods. Although the research is in its initial stages, it anticipates that businesses will increasingly adopt digital transformation to comply with environmental regulations. The study expects to contribute in digital sustainability strategy in response to evolving regulatory landscapes.","url":"https://doi.org/10.18690/um.fov.4.2024.51","authors":["Fuad Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-29T08:31:13Z","doi":"10.18690/um.fov.4.2024.51","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.69894/20240521","name":"MIT’s MandM Digital Twin","source":"crossref","abstract":"Unity game engine-based 3D digital twin provides monitoring and management of MIT’s supercomputer.","url":"https://doi.org/10.69894/20240521","authors":["Neil McNaughton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T12:26:26Z","doi":"10.69894/20240521","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.47330/cbc.2021.icig6629","name":"Digital Twins and Blockchain: How an Alternative Built Environment Business Model can be Enabled by Tokenisation","source":"crossref","abstract":"Construction today is poised between a failing business model and possibly successful future ones. Using the Three Horizons approach to transformative innovation (ref 1) one can say that the first horizon, the present, is characterised by transactional approaches to procurement, cost-driven purchasing, low margins, weak productivity and innovation, poor quality and the treatment of natural, social and human capital as externalities. The second horizon consists of innovations which can improve the first one or become bridges to a third horizon of transformed approaches. Elements already visible in the second horizon include a new awareness of the outcome value of assets, rising desire and ability to embrace natural, social and human capital factors, increasing interest in collaboration and partnership, industrialisation of building production, digital information management and the addition of ‘smart’ sensors and analytics to the built asset. The Grenfell Tower disaster has also set in train a major realignment of regulation, requiring long-term asset information retention to allow safer stewardship of buildings. The digital twin concept is a third horizon idea which may result.","url":"https://doi.org/10.47330/cbc.2021.icig6629","authors":["Richard Saxon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-08T08:48:09Z","doi":"10.47330/cbc.2021.icig6629","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1080/27525783.2025.2486867","name":"Path planning for multi-autonomous vehicles based on digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2486867","authors":["Boqiang Zhang","Heng Gao","Peng Sun","Xuemeng Xu","Linjun Wang","Yezhao Jia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-13T10:14:55Z","doi":"10.1080/27525783.2025.2486867","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.48035/tesis/2454/50276","name":"Digital twin development for VTOL UAVs","source":"crossref","abstract":"The use of vertical take-off and landing (VTOL) drones in various industries is becoming increasingly popular. However, the democratization of drones also raíces significant concerns about safety during their operations. Their relatively new technology and growing interest often lead to the use of undertested vehicles in missions where safety is critical. To address these risks and reduce the costs associated with experimental flights of new aircraft, the implementation of high-fidelity emulators is proposed. These advanced emulators, known as digital twins, have seen exponential growth in popularity in recent years. This thesis addresses the complete process of developing digital twins for VTOL unmanned aerial vehicles (UAVs). Initially, we propose a digital twin development model based on a variation of the double diamond design process. After identifying critical systems in two types of VTOL UAVs, a hexacopter and a commercial tiltrotor aircraft, we have developed a mathematical model to characterize aerodynamic, gravitational, and propulsive actions. Propulsive actions are measured through experimental tests on a motor test bench. Gravitational actions are determined using precise computeraided design/computer-aided manufacturing (CAD/CAM) models and experi mental measurements. Finally, aerodynamic actions are obtained through a novel aerodynamic model, which calculates the complete aircraft aerodynamics based on the incident wind direction, relying on numerous computational fluid dynamics (CFD) simulations. To mitigate the costs associated with CFD simulations, we employ surrogate models, developing and validating a surrogate model capable of potentially reducing the number of simulations by up to 50%. Another critical subsystem is the communication system. Based on experimental measurements, we fit and validate a path loss model for Received Signal Strength Indicator (RSSI) to estimate signal losses as a function of the aircraft’s position and attitude. This model allows us to predict and quantify the impact of the UAV’s attitude and position relative to the communication source. Ultimately, the digital twin is successfully implemented and validated using both hardware-in-the-loop and X-Plane for a commercial flight controller, as well as software-in-the-loop and Gazebo for an open-source controller (Ardupilot). This comprehensive validation approach ensures that the digital twin accurately replicates the behavior and performance of the actual UAV systems, regardless of the emulation engine and architecture chosen.","url":"https://doi.org/10.48035/tesis/2454/50276","authors":["Daniel Aláez Gómez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T12:02:41Z","doi":"10.48035/tesis/2454/50276","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394474486.ch6","name":"Production Control","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394474486.ch6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-28T04:29:03Z","doi":"10.1002/9781394474486.ch6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch016","name":"Exploring the Role of Digital Twin in Power System Applications","source":"crossref","abstract":"This chapter presents digital twinning technology, integrating multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes through physical models and sensors. It achieves complete mapping in virtual space, capturing the entire life cycle of corresponding entities. The study analyzes existing models in related fields, examining their uses and implementation methods. Applying digital twin technology to the power system, the chapter explores optimization design for the power grid, simulation of power grid faults, virtual power plants, intelligent equipment monitoring, and other services. The application scenario of power system digital twin (PSDT) is detailed. The chapter also explains the model structure of PSDT and the method of model reduction.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch016","authors":["Harish Ravali Kasiviswanathan","M. Karthikeyan","S. Vairamuthu","Sivaram Ponnusamy","K. Swaminathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch016","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394257003.ch8","name":"Execution of Fully Automated Coal Mining Face With Transparent Digital Twin Self‐Adaptive Mining System","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394257003.ch8","authors":["Bharat Tripathi","Nidhi Srivastava","Amod Kumar Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-30T12:38:23Z","doi":"10.1002/9781394257003.ch8","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/978-1-6684-5722-1.ch002","name":"Data Management for IoT and Digital Twin","source":"crossref","abstract":"The internet of things (IoT) is a dynamic and global network infrastructure in which “things”—subsystems and individual physical and virtual entities—can be identified, autonomous, and self-configurable. “Things” are expected to communicate with one another and with the environment by exchanging data generated by sensing, as well as react to events and trigger actions to control the physical world. A digital twin is a synchronised virtual representation of real-world entities and processes. Understanding the data management challenges for DT is critical to understanding the data issues. Data management is a common issue in existing systems, ranging from product design to asset management and maintenance.","url":"https://doi.org/10.4018/978-1-6684-5722-1.ch002","authors":["Galiveeti Poornima","Vinay Janardhanachari","Deepak S. Sakkari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-03T11:16:56Z","doi":"10.4018/978-1-6684-5722-1.ch002","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-031-76564-3_2","name":"Digital Twin Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76564-3_2","authors":["Sunil Gupta","Ravi S. Iyer","Sanjeev Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T13:31:25Z","doi":"10.1007/978-3-031-76564-3_2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4414/saez.2019.17838","name":"Der Digital Twin leidet nicht","source":"crossref","abstract":"","url":"https://doi.org/10.4414/saez.2019.17838","authors":["Marc Melchert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-05-29T06:00:49Z","doi":"10.4414/saez.2019.17838","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.22541/essoar.171657423.37389866/v1","name":"A Multimodal AI Neural Operator Architecture Approach for Digital Twin Simulations","source":"crossref","abstract":"","url":"https://doi.org/10.22541/essoar.171657423.37389866/v1","authors":["Pratik Shukla","Milton Halem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-24T14:10:43Z","doi":"10.22541/essoar.171657423.37389866/v1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.47330/cbc.2021.plbh4631","name":"Blockchain, Fungibility, and Physical Assets: The Legal View","source":"crossref","abstract":"2021 has witnessed a surge of interest in non-fungible tokens or “NFTs”. However, there is considerable misunderstanding surrounding what an NFTs is, what it may or may not represent, how rights attach, how it may be enforced or used for enforcement of rights, and how it is connected to the asset it purportedly represents. This is self-evident in discussions between the technology community, implementers, and the legal profession. This is compounded by a lack of clarity in how current legal frameworks work with or are applied to such tokens.","url":"https://doi.org/10.47330/cbc.2021.plbh4631","authors":["Gavin Johnson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.plbh4631","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5821/dissertation-2117-426528","name":"Applications of the OCATA optical layer digital twin","source":"crossref","abstract":"(English) Optical transport networks (OTNs) are a core infrastructure and key-enabler of today’s hyper-connected society as most of the Internet data traffic is transferred over optical fibers. Traffic demand is experiencing rest-less growth as Internet-services are reaching increasing audience and capacity-hungry applications are arising (e.g., industry 4.0). In view of this, constant innovation is required in OTNs to accommodate the requested capacity while minimizing the cost. In this scenario, digital twins (DTs) – intended as a combination of models self-adjusting with their physical counterpart and of algorithms acting on the network for specific applications – are being proposed as a solution for: 1) maximizing the transport capacity by reducing the network margins; 2) pave the way towards optical network automation. The main objective of this PhD Thesis is to improve network operation based on the use of DTs algorithms and models for failure management, lightpath provisioning and optical amplifier control. To achieve this goal, different machine learning (ML) algorithms were investigated and the capabilities of the OCATA DT were extended. This main goal is achieved by the following three specific goals: 1. Applications of Optical Layer DT During Network Operation. The OCATA capabilities are extended for quality of transmission (QoT) estimation and failure management. Tailor-made features are extracted from IQ constellation samples, which show correlations with QoT metrics and with failures-induced signal degradations. Next, specific ML-based models and algorithms for QoT estimation, soft-failure detection, identification and severity estimation are proposed. Results from both simulation and experiments show noticeable accuracy on the estimation of QoT and on the prediction of failures affecting the transmitter, optical filters and amplifiers. Furthermore, this approach was confirmed also for detecting and identifying spectrum anomalies. 2. Applications of Optical Layer DT for Lightpath Provisioning. OCATA capabilities are extended for modulation formats besides 16-quadrature amplitude modulation (QAM) and for digital subcarrier multiplexing signals (DSCM). Firstly, an algorithm for lightpath provisioning is proposed and evaluated based on simulations. Secondly, I experimentally evaluate its accuracy to predict the impact of optical filtering penalties. The simulations show an overall high accuracy for different signal formats and demonstrate their viability for lightpath provisioning. Moreover, the models showed the most advantageous trade-off between accuracy and execution time when compared with other existing methods. Finally, the experimental results demonstrate the feasibility of implementing such models to perform quality of transmission estimation for DSCM signals. 3. Application of Optical Layer DT for Amplifier Control. DT models were designed to assist a network controller in performing informed decisions when re-configuring dynamically optical amplifiers under varying channel loadings. Experimental characterization processes were performed on pluggable EDFAs. Then, ML models based on deep learning (DL) and ensemble methods were compared in terms of accuracy and computation speed. After time-consuming hyper parameter optimization (HPO) procedures, DL models showed to achieve both the best performance on the training data set and the best generalizability on unknown dataset. Furthermore, it was shown that substantial generalization error reduction can be achieved employing transfer learning (TL) techniques. (Català) Les xarxes òptiques dels operadors són una infraestructura central i un element clau de la societat hiperconnectada actual, ja que la major part del trànsit de dades d'Internet es transfereix a través de xarxes de fibra òptica. El volum de trànsit de dades està experimentant un creixement incessant a mesura que els serveis d'Internet aconsegueixen una demanda cada vegada major i sorgeixen aplicacio","url":"https://doi.org/10.5821/dissertation-2117-426528","authors":["Mariano Devigili"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-17T02:22:11Z","doi":"10.5821/dissertation-2117-426528","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.7717/peerj-cs.3929/table-6","name":"Table 6: Summary of works related to the Intelligent supply chain by using a digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-6","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-323-95062-6.00005-x","name":"Metal additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95062-6.00005-x","authors":["Chao Cai","Kun Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-30T10:53:48Z","doi":"10.1016/b978-0-323-95062-6.00005-x","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1145/3566099.3569003","name":"Optimal graph partitioning for time-sensitive flow scheduling towards digital twin networks","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3566099.3569003","authors":["Shuo Wang","Jonathan Kua","Jiong Jin","Ambarish Kulkarni","Prem Prakash Jayaraman","Xianghui Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T00:40:23Z","doi":"10.1145/3566099.3569003","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1049/pbhe046e_bm","name":"Back Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_bm","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_bm","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.33313/389/271","name":"Digital Twin for Rail Hardening System Recipe Simulation","source":"crossref","abstract":"ABSTRACT Within HORIZON, the integrated platform for process design, mill operation, and thermo-metallurgical simulation, IDRHA is the module designed to configure, manage, and optimize a rail heat treatment hardening system in different configuration: induction reheating, cooling by water, air or air mist nozzles. Leveraging the basic functionality offered using the digital twin, IDRHA allows to predict the thermal, mechanical and metallurgical/microstructural characteristics of the finished product by simulating working conditions in real time and act directly on process deviations deriving from L2 or field data. This approach is designed to optimize the plant layout, reduce waste or second quality products, minimize and balance the necessary chemical elements to obtain the final mechanical product characteristics, optimize energy consumption for a lower environmental impact.","url":"https://doi.org/10.33313/389/271","authors":["Alberto Nardini","Dario Magni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/271","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394411320.ch7","name":"Toward Smart Healthcare in Digital Twin Featuring AI for Innovation in Smart Cities and Sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.ch7","authors":["Bhupinder SINGH","Ashima JAIN","Christian KAUNERT"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.ch7","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5220/0010717600003062","name":"Towards a Family of Digital Model/Shadow/Twin Workflows and Architectures","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010717600003062","authors":["Randy Paredis","Cláudio Gomes","Hans Vangheluwe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-02T10:21:34Z","doi":"10.5220/0010717600003062","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1017/etr.2026.10009.pr2","name":"Review: Establishing the rationale for a Digital Twin Framework in the built environment — R0/PR2","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.36334/modsim.2023.seo610","name":"Digital twin�based river-system model","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim.2023.seo610","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-08T02:35:28Z","doi":"10.36334/modsim.2023.seo610","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5772/intechopen.105871","name":"Digital Twin of Heat Exchanger","source":"crossref","abstract":"How to create proper digital twin of plate heat exchange. The chapter will investigate alternatives for modeling and propose the best choices in modeling to trade-off between accuracy of the calculation vs. speed. Lump sum vs. distributed model, how to make plate model discrete, temperature distribution models, and details in heat exchange wall modeling will be considered. Last part would focus on experimental evaluation of the simulation using IR temperature vision measurements. Conclusions would take concrete examples of dynamic responses of heat exchange units, comparing numeric simulation with experimental results.","url":"https://doi.org/10.5772/intechopen.105871","authors":["Miha Bobič"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-14T07:19:33Z","doi":"10.5772/intechopen.105871","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1017/etr.2026.10009.pr8","name":"Review: Establishing the rationale for a Digital Twin Framework in the built environment — R1/PR8","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr8","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4337/9781035301003.00007","name":"Revolutionizing manufacturing: how digital technologies and digital industrial platforms drive business model transformation","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035301003.00007","authors":["Claudia Franzè","Danilo Pesce"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-13T14:02:16Z","doi":"10.4337/9781035301003.00007","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5194/ems2022-690","name":"The Global-to-Regional ICON Digital Twin","source":"crossref","abstract":"&amp;lt;p&amp;gt;The Global-to-Regional ICON (GLORI) Digital Twin is a project made possible by the tri-lateral cooperation between Germany, Italy and Switzerland. The project is fostered by the ICON cooperation and by the long-lasting collaboration in the COSMO Consortium and in the CLM Community. The partnership includes national weather and climate services as well as research institutes, which bring together a broad and transdisciplinary expertise. Project partners are the Deutscher Wetterdienst (DWD), the Forschungszentrum J&amp;amp;#252;lich (FZJ) and the Karlsruher Institut f&amp;amp;#252;r Technologie (KIT) in Germany, the Centro euro-Mediterraneo sui Cambiamenti Climatici (CMCC), the Agenzia per la meteorologia e climatologia ItaliaMeteo (IM), the HydroMeteoClimate Service of Arpae Emilia-Romagna (Arpae-SIMC) and the Servizio meteorologico dell'Aeronautica Militare (MeteoAM) in Italy and the Swiss Federal Office for Meteorology and Climatology (MeteoSwiss) in Switzerland. GLORI is a configurable on-demand global-to-regional short-range high resolution digital twin based on the prediction capability of ICON. The twin is fit to run on heterogeneous GPU-CPU architecture at high resolution. It provides short-range global storm-resolving km-scale (~3 km horizontal) predictions using hybrid variational ensemble data assimilation. GLORI offers on-demand high resolution (~ 500m -1 km horizontal) predictions for the selected regions, like GLORI-Alps, the twin on the Alpine region. It includes uncertainty estimation through ensemble forecast for global and regional. Model parametrisations are developed to take into account higher-resolution and the complexity of the land-surface interface. It is possible to carry out on-demand predictions of selected atmospheric composition elements such as mineral dust for energy applications and pollen for health applications. The digital twin also includes interfaces to application layers in the hydrological area. The skill of the twin in forecasting precipitation at high-resolution will be also demonstrated on catchments by using a hydrological model as user-oriented verification tool.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/ems2022-690","authors":["Chiara Marsigli","Roland Potthast"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-28T10:46:43Z","doi":"10.5194/ems2022-690","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.21062/ujep/x.2016/a/1213-2489/mt/16/6/1255","name":"Microstructure of Twin-roll Cast Al-Mg-Sc-Zr Alloy","source":"crossref","abstract":"","url":"https://doi.org/10.21062/ujep/x.2016/a/1213-2489/mt/16/6/1255","authors":["Miroslav Cieslar","Jan Bajer","Mariia Zimina","Olexandr Grydin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-04T01:10:09Z","doi":"10.21062/ujep/x.2016/a/1213-2489/mt/16/6/1255","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.12688/digitaltwin.18054.2","name":"A knowledge graph based remanufacturing equipment resource modeling method.","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.18054.2","authors":["Xinlan Liu","Lei Wang","Yuyao Guo","Binyuan Zhang","Xuhui Xia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-25T08:30:06Z","doi":"10.12688/digitaltwin.18054.2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.12688/digitaltwin.17408.1","name":"TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17408.1","authors":["Qing Hong","Yifeng Sun","Tingyu Liu","Liang Fu","Yunfeng Xie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-01T10:30:06Z","doi":"10.12688/digitaltwin.17408.1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.7717/peerj-cs.3929/table-5","name":"Table 5: Summary of works related to the cyber-physical cognitive systems by using digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.7281798","name":"Digital Twin and Simulation-Based Design of Agricultural Processing Equipment","source":"crossref","abstract":"Agricultural processing equipment plays a critical role in transforming raw agricultural materials into usable industrial inputs. In cotton processing, grain handling, seed cleaning, fiber preparation, and other post-harvest operations, machinery must process biological materials that are variable in moisture, size, density, contamination level, mechanical strength, and flow behavior. This variability creates engineering challenges related to throughput, cleaning efficiency, energy consumption, material loss, machine wear, equipment reliability, and product quality. This article proposes a digital twin and simulation-based design framework for agricultural processing equipment, with particular emphasis on cotton cleaning, cotton separation, and raw material handling machinery. The proposed framework connects physical equipment, sensor data, simulation models, process optimization, and design feedback into an integrated engineering system. Instead of relying only on physical prototyping or trial-and-error modification, engineers can use digital twin models to evaluate machine geometry, operating speed, material flow, cleaning performance, energy demand, and failure risk before or during equipment operation. The article presents a conceptual digital twin architecture, a simulation-based design workflow, key input and output parameters, performance indicators, an illustrative evaluation matrix, and future research directions. The framework is designed to support agricultural processing machinery modernization, industrial automation, predictive maintenance, and sustainable manufacturing. It is especially relevant to cotton processing equipment, where improved machinery design can reduce processing losses, improve raw material quality, increase energy efficiency, and support more resilient agricultural manufacturing systems.","url":"https://doi.org/10.2139/ssrn.7281798","authors":["Artem Khalfin","Abdurasul Pirnazarov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T04:03:25Z","doi":"10.2139/ssrn.7281798","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.47330/cbc.2021.lxzr1979","name":"Failures of the D words","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2021.lxzr1979","authors":["Marta Geater Piekarska"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-20T22:31:36Z","doi":"10.47330/cbc.2021.lxzr1979","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.4798807","name":"Quality-Focused Design Patterns for Digital Twin Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4798807","authors":["Carlo Human","Anton Basson","Karel Kruger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-18T03:52:00Z","doi":"10.2139/ssrn.4798807","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.54337/aau792731670","name":"Digital Twin-based and Machine Learning-assisted GaN Power Module Packaging Reliability Analysis Method","source":"crossref","abstract":"","url":"https://doi.org/10.54337/aau792731670","authors":["Zhongchao Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-19T07:47:07Z","doi":"10.54337/aau792731670","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.31223/osf.io/d8ca6","name":"pipedream: an interactive digital twin model for urban drainage networks","source":"crossref","abstract":"","url":"https://doi.org/10.31223/osf.io/d8ca6","authors":["Matthew Bartos","Branko Kerkez"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-18T16:43:13Z","doi":"10.31223/osf.io/d8ca6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1021/acsphotonics.6c00567.s001","name":"Color-Blind Image Sensors: Toward Digital Twin of Human Retina","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsphotonics.6c00567.s001","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-11T16:50:46Z","doi":"10.1021/acsphotonics.6c00567.s001","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.24868/11255","name":"Digital twin of a marine diesel engine","source":"crossref","abstract":"","url":"https://doi.org/10.24868/11255","authors":["Bill, R","Buehler, B","Koch, T","Aubert, T"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T16:04:08Z","doi":"10.24868/11255","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5194/egusphere-egu26-3682","name":"Earth-China: Science and AI-enabled digital twin of regional earth system","source":"crossref","abstract":"China Sea (CS) consists of South China Sea, East China Sea, Yellow Sea and Bohai Sea. CS connects with terrestrial input from landside and with Western Pacific Ocean (WPC) fluxes from seaside. A healthy, resilient and predictable CS is important to sustainable socioeconomic development in the region and is largely determined by the sustainability of the interlinked spheres that compose the regional earth system (RES), including the lithosphere (land), the hydrosphere (oceans and rivers), the atmosphere, and the biosphere (living things). Based on an unprecedented holistic study of the interactions among natural forcings, human activities, and climate change using an integrated system to create an RES framework (https://earthhk.hkust.edu.hk/), we integrate science, AI and develop a digital twin of the regional earth system that integrates streaming data from observations, an earth simulator of land-ocean-atmosphere and an immersive and interactive visual interface for diagnosis and prognosis in the CS and WPC.","url":"https://doi.org/10.5194/egusphere-egu26-3682","authors":["Jianping Gan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T20:54:38Z","doi":"10.5194/egusphere-egu26-3682","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/979-8-3693-3234-4.ch025","name":"Smart Monitoring and Predictive Maintenance of High Voltage Cables Through Digital Twin Technology","source":"crossref","abstract":"Urban power transmission and distribution are closely linked to high voltage cables. The advancement of the ubiquitous power internet of things (UPIOT) introduces the concept of holographic state perception techniques for power cables. To enhance the efficiency and scientific utilization of data information, this chapter incorporates the digital twin (DT) technique into the power cable domain, investigating its advanced applications. The initial sections cover the significance, technical system, and key elements of the DT model. Subsequently, the chapter delves into the application scenarios of DT-driven technical frameworks in high voltage cable design, production, and operational maintenance.","url":"https://doi.org/10.4018/979-8-3693-3234-4.ch025","authors":["T. Thenthiruppathi","Harish Ravali Kasiviswanathan","K. Swaminathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T11:43:35Z","doi":"10.4018/979-8-3693-3234-4.ch025","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.21070/jeeeu.v10i1.1738","name":"Data-Driven Digital Twin for Gas Turbine Power Output Estimation and Performance Deviation Monitoring","source":"crossref","abstract":"Digital twin which creates virtual representation of physical systems using real-time data are increasingly employed for performance monitoring, operational optimization, and decision support in the energy sector in power generation , the electrical power output in gas turbines varies significantly with environmental and operational conditions. Accurate estimation of the expected power output (MW) is indispensable for benchmarking and degradation detection. This study proposes a data-driven digital twin framework for predicting power output and monitoring performance deviation for an operational GE Frame 9E gas turbine power plant. Real-time data is acquired from a Mark VIe control system and archived in the AVEVA PI historian (PI ProcessBook).Four machine learning algorithms, Support Vector Regression (SVR), Random Forest regression, Extreme Gradient Boosting, and a feed-forward Artificial Neural Network (ANN) were implemented and evaluated to find the most suitable model for the digital twin, The XGBoost-based digital twin achieved the best overall accuracy (RMSE = 1.4056 MW and R² = 0.9125) and generated the most stable deviation behavior, supporting performance benchmarking in industrial operation.. The digital twin calculates the deviation (DMW) between actual and expected power output, enabling continuous non-intrusive monitoring of performance shifts. This study provides a framewok for integrating real-time data with machine learning models to deploy the digital twins for condition monitoring in gas turbine operations.","url":"https://doi.org/10.21070/jeeeu.v10i1.1738","authors":["Asaad Saber Ameen","Ibrahim Ismail Hamarash"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T21:23:51Z","doi":"10.21070/jeeeu.v10i1.1738","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.1681276","name":"The Twin Effects of Globalization - Evidence from a Sample of Indian Manufacturing Firms","source":"crossref","abstract":"Employees of globalized firms face a riskier menu of labor market outcomes. They face a more uncertain stream of earnings and riskier employment prospects. However, they may also have stronger incentives to train and upgrade their skills and/or may benefit from more rapid careers. Hence, the costs of uncertainty and the benefits of skill upgrading associated with globalization may be twin to each other. We provide statistical evidence of this so far neglected trade-off for a sample of Indian manufacturing firms.","url":"https://doi.org/10.2139/ssrn.1681276","authors":["Francesco Daveri","Paolo Manasse","Danila Serra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-17T05:37:41Z","doi":"10.2139/ssrn.1681276","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1051/matecconf/202440105003","name":"Advancing Sustainable Manufacturing through Digital Twin-based Simulation: Assessing and Optimising Processes for Social, Environmental and Economic Impacts","source":"crossref","abstract":"Achieving sustainability in manufacturing is not without its challenges. Various studies have identified the need to balance environmental, economic and social considerations as a key obstacle. Meanwhile, there are increasing methods that promote only environmentally friendly products. This study explores the potential of digital twin-based simulation in advancing sustainable manufacturing by assessing and optimising processes for social, environmental, and economic impacts. The study proposes a framework for integrating concepts and theories related to sustainable manufacturing and digital twin-based simulation to support sustainability decision-making. The framework is validated through a case study in a manufacturing facility. The findings of this study demonstrate that digital twin-based simulation can effectively assess and optimise manufacturing processes for their social, environmental, and economic impact. This study contributes to the existing body of knowledge by highlighting the potential of digital twin-based simulation in advancing sustainable manufacturing. The study also emphasises the importance of considering the three sustainability dimensions in manufacturing decision-making processes. Overall, this research offers valuable insights for researchers, practitioners, and policymakers aiming to promote sustainable manufacturing practices.","url":"https://doi.org/10.1051/matecconf/202440105003","authors":["Mijoh Gbededo","Kapila Liyanage"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-27T07:57:50Z","doi":"10.1051/matecconf/202440105003","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1108/jimse-12-2020-010","name":"Digital twin: a state-of-the-art review of its enabling technologies, applications and challenges","source":"crossref","abstract":"Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia, there is no systematic understanding of DT from its development history to its different concepts and applications in disparate disciplines. The majority of DT literature focuses on the conceptual development of DT frameworks for a specific implementation area. Hence, this paper provides a state-of-the-art review of DT history, different definitions and models, and six types of key enabling technologies. The review also provides a comprehensive survey of DT applications from two perspectives: (1) applications in four product-lifecycle phases, i.e. product design, manufacturing, operation and maintenance, and recycling and (2) applications in four categorized engineering fields, including aerospace engineering, tunneling and underground engineering, wind engineering and Internet of things (IoT) applications. DT frameworks, characteristic components, key technologies and specific applications are extracted for each DT category in this paper. A comprehensive survey of the DT references reveals the following findings: (1) The majority of existing DT models only involve one-way data transfer from physical entities to virtual models and (2) There is a lack of consideration of the environmental coupling, which results in the inaccurate representation of the virtual components in existing DT models. Thus, this paper highlights the role of environmental factor in DT enabling technologies and in categorized engineering applications. In addition, the review discusses the key challenges and provides future work for constructing DTs of complex engineering systems.","url":"https://doi.org/10.1108/jimse-12-2020-010","authors":["Weifei Hu","Tongzhou Zhang","Xiaoyu Deng","Zhenyu Liu","Jianrong Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-09T04:13:29Z","doi":"10.1108/jimse-12-2020-010","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.aei.2023.101915","name":"From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2023.101915","authors":["Wenjie Jia","Wei Wang","Zhenzu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-03T07:08:11Z","doi":"10.1016/j.aei.2023.101915","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00034-0","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00034-0","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:50:18Z","doi":"10.1016/b978-0-443-30076-9.00034-0","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.31274/td-20260223-140","name":"Application of digital twin to the utility sector of the civil engineering industry","source":"crossref","abstract":"","url":"https://doi.org/10.31274/td-20260223-140","authors":["Kolade Mubarak Arisekola"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-24T17:52:15Z","doi":"10.31274/td-20260223-140","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.6109/jkiice.2025.29.5.712","name":"Implementation of an Autonomous Ship Damage Control System Using Digital Twin Bridge","source":"crossref","abstract":"","url":"https://doi.org/10.6109/jkiice.2025.29.5.712","authors":["Jaeha Jeong","Jae-Hong Yim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-09T02:22:26Z","doi":"10.6109/jkiice.2025.29.5.712","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2118/210987-ms","name":"A Dynamically Reconciled Digital Twin for Operations Optimization and Decision Support","source":"crossref","abstract":"Abstract Operational digital twins bring together digitalization technologies, including machine learning, IIoT, data analytics, process simulation and optimization. A digital twin model reconciled with real-time process data provides the foundation for a range of layered applications that are key to transforming the way that process plants and value chains are operated and managed. After outlining the basic numerical methods, this paper will describe three industrial applications of dynamically reconciled digital twin models in gas processing, refining and olefins production. The focus is on application robustness and high availability, delivering increased operating margins and plant flexibility. An operational digital twin model can provide a versatile tool for real-time process optimization, and what-if analysis, as well as operations planning and scheduling. To be effective, the digital twin model needs to be reconciled with real-time process data frequently. In a dynamic operating environment where feed composition, process conditions and product demand may change continuously, this challenging data reconciliation task is solved using a combination of numerical methods: Equation-oriented model structures and solvers provide the flexibility required to solve simulation, parameter estimation and optimization cases. Extended Kalman filter and moving horizon estimation enable reconciliation using real-time dynamic data without the need for steady-state operation. Process models are developed using both first principles and data-driven surrogate modelling methods. A dynamically reconciled digital twin model provides the basis for an equation-oriented multi-period optimizer that can be solved for facility-wide steady state optimization, short-range dynamic optimization and long-range planning and scheduling problems within a single unified modelling and optimization framework. The use of hybrid models that include both data-driven and first principles components can significantly reduce the deployment and maintenance effort, the resulting low-order models facilitate model reuse across the different optimization horizons and objectives and enable large-scale optimization problems to be solved across an entire process plant or value chain. Three industrial applications of these methods will be outlined. The first is a gas plant optimizer that provides real-time process optimization and what-if analysis. The reconciled gas plant model tracks the process under significant feed and ambient variations. The second application is a refinery-wide optimizer that encompasses multiple crude distillation, vacuum and reaction units. The third application is an olefins process scheduling application that optimizes feed distribution, cracking furnace operating conditions and decoke cycle over an extended future time horizon.","url":"https://doi.org/10.2118/210987-ms","authors":["Patrick Thorpe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-31T00:33:38Z","doi":"10.2118/210987-ms","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5220/0012040200003620","name":"A Smart Healthcare Supply Chain Information Visualisation Platform Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012040200003620","authors":["Nan Sheng","Qi Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-18T13:24:31Z","doi":"10.5220/0012040200003620","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch014","name":"Optimizing Business Processes Using AI and Digital Twin","source":"crossref","abstract":"A key tactic for increasing efficiency throughout value chains is the strategic integration of AI and digital twin technologies to optimize business processes. Understanding current systems and gaining insights into optimization depend greatly on modeling and simulating business processes. The supply chain procedures described in this chapter use a novel conceptual implementation strategy that makes use of digital twin technology. During the process study stage, the technique enables an extensive technology and system evaluation. Furthermore, this approach is exemplified through a practical business scenario, demonstrating the implementation of the strategy in order fulfilment within a manufacturing plant. The utilization of business process modeling notation (BPMN) is employed to meticulously map both the existing (“as-is”) processes and the desired future state (“to-be”) processes. The synergy of artificial intelligence (AI) and digital twin technologies not only fosters innovation but also serves as a guiding beacon for businesses, steering them toward enduring success.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch014","authors":["S. Ushasukhanya","T. Y. J. Naga Malleswari","R. Brindha","P. Renukadevi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch014","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.36227/techrxiv.14582943.v1","name":"Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine","source":"crossref","abstract":"A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the “hardware”, the Unity scripting API are used to simulate the “software”, and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver’s preference with the help of cloud computing.","url":"https://doi.org/10.36227/techrxiv.14582943.v1","authors":["Ziran Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-14T00:36:52Z","doi":"10.36227/techrxiv.14582943.v1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1115/esda2008-59178","name":"Digital Layer Manufacturing Chances and Challenges","source":"crossref","abstract":"The industrial expectation and future of the additive process, also DLM (Digital Layer Manufacturing) called, is the extensive use in Rapid Manufacturing (RM). These manufacturing technologies are at this point in time emerging. The tool-less economical manufacture of short runs plastic components is real life in several branches. These technologies emerge from the Rapid Prototyping and are on the way to Rapid Manufacturing, demonstrating great future chances. At the same time it puts forward several great research and development challenges. The paper, starting with background information, shows trends toward RM. Case studies from own research and experience as well as pioneer projects demonstrating the transition toward RM. The present challenges are discussed and considered alongside the technical and economical perspectives. Chances like “complexity for free”, individualization of design, mass customization and others are demonstrated, some final conclusions are stated.","url":"https://doi.org/10.1115/esda2008-59178","authors":["Gideon N. Levy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2009-07-10T18:59:18Z","doi":"10.1115/esda2008-59178","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.7717/peerj-cs.3929/table-8","name":"Table 8: Summary table for key findings in the role of digital twin for Industry 5.0.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/table-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/table-8","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-030-18732-3_1","name":"The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-18732-3_1","authors":["Maninder Jeet Kaur","Ved P. Mishra","Piyush Maheshwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-07-22T06:02:38Z","doi":"10.1007/978-3-030-18732-3_1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394354047.ch12","name":"Description of Hardware‐in‐Loop Digital Twin Platform Requirements for Industrial Process","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394354047.ch12","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-07T21:31:16Z","doi":"10.1002/9781394354047.ch12","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-030-69373-2_6","name":"Decision Support Based on Digital Twin Simulation: A Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-69373-2_6","authors":["Flávia Pires","Matheus Souza","Bilal Ahmad","Paulo Leitão"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-02T21:02:32Z","doi":"10.1007/978-3-030-69373-2_6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00158-022-03426-3","name":"Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00158-022-03426-3","authors":["Ruoxin Geng","Mian Li","Zongyang Hu","Zixi Han","Ruixiang Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-30T10:02:46Z","doi":"10.1007/s00158-022-03426-3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.matpr.2021.12.217","name":"A state-of-the-art review on implementation of digital twin in additive manufacturing to monitor and control parts quality","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.matpr.2021.12.217","authors":["Rakesh Kumar Phanden","S.V. Aditya","Aaryan Sheokand","Kapil Kumar Goyal","Pardeep Gahlot","Adam Jacso"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-28T10:31:52Z","doi":"10.1016/j.matpr.2021.12.217","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.cie.2022.108463","name":"Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cie.2022.108463","authors":["Álvaro García","Anibal Bregon","Miguel A. Martínez-Prieto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-14T12:25:24Z","doi":"10.1016/j.cie.2022.108463","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.5042173","name":"Blockchain-Enabled Digital Twin for Smart Cities Computational Toward Sustainability and Resilience","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5042173","authors":["Sajjad Afrosheh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-03T08:36:44Z","doi":"10.2139/ssrn.5042173","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1145/3631319","name":"Proceedings of the 1st International Workshop on Middleware for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3631319","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-04T19:22:27Z","doi":"10.1145/3631319","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003507000-1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507000-1","authors":["Samad M. E. Sepasgozar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-11T11:08:34Z","doi":"10.1201/9781003507000-1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003686736","name":"Digital Twin for Gear Wear Monitoring and Prediction","source":"openalex","abstract":"This book presents recent research developments and integrated methodologies for digital twin gear wear monitoring and remaining useful life prediction for rotating machinery. It describes a comprehensive framework for identifying wear mechanisms, developing dynamic gearbox models, and implementing online monitoring schemes that track the evolution of abrasive wear and fatigue pitting. The methodologies introduced allow for accurate assessment of tooth profile changes and surface integrity without requiring operational stoppage. Simulations and dynamic model implementations in this book are constructed using the MATLAB® and Simulink® software packages. Features:• Gives a systematic investigation of vibration-based techniques to distinguish between fatigue pitting and abrasive wear.• Develops an integrated monitoring and prediction framework using a dynamic gear model and wear model.• Includes a novel digital-twin approach that regularly updates model coefficients using measured vibration data to ensure prediction accuracy.• Discusses the impact of macro- and micro-level wear on dynamic contact forces and vibration characteristics.• Provides experimental validation through run-to-failure tests conducted under both dry and lubricated conditions. This book is aimed at researchers and graduate students in mechanical engineering, signal processing, machine condition monitoring, and reliability engineering.","url":"https://doi.org/10.1201/9781003686736","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":["Reliability (semiconductor)","Vibration","Abrasive","Tool wear","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-21","doi":"10.1201/9781003686736","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.51202/9783181024553-31","name":"Digital Twin to Bridge Innovation into Reality","source":"crossref","abstract":"","url":"https://doi.org/10.51202/9783181024553-31","authors":["C. Neimöck"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-19T15:07:59Z","doi":"10.51202/9783181024553-31","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5194/egusphere-egu23-11756","name":"Digital twin computing for enhancing resilience of disaster response system","source":"crossref","abstract":"Digital twin is now recognized as digital copies of physical world's objects stored in digital space and utilized to simulate the sequences and consequences of target phenomena. By incorporating physical world&amp;#8217;s data into the digital twin, developers and users have a full view of the target through real-time feedback. Recent advances in high-performance computing and large-scale data fusion of sensing and observations of both natural and social phenomena are enhancing applicability of digital twin paradigm to natural disaster research. Artificial intelligence (AI) and machine learning are also being applied more and more widely across the world and contributing as essential elements of digital twin. Those have significant implications for disaster response and recovery to hold out the promise of dramatically improving our understanding of disaster-affected areas and responses in real-time.A project is underway to enhance resilience of disaster response systems by constructing \"Disaster Digital Twin\" to support disaster response team in the anticipated tsunami disaster. &amp;#8220;Disaster Digital Twin&amp;#8221; platform consists of a fusion of real-time hazard simulation, e.g. tsunami inundation forecast, social sensing to identify dynamic exposed population, and multi-agent simulation of disaster response activities to find optimal allocation or strategy of response efforts, and achieve the enhancement of disaster resilience.To achieve the goal of innovating digital twin computing for enhancing disaster resilience, four preliminary results are shown;(1) Developing nation-wide real-time tsunami inundation and damage forecast system. The priority target for forecasting is the Pacific coast of Japan, a region where Nankai trough earthquake is likely to occur.(2) Establishing a real-time estimation of the number of exposed population in the inundation zone and clarifying the relationship between the exposed population and medical demand.(3) Developing a reinforcement learning-based multi-agent simulation of medical activities in the affected areas with use of damage information, medical demands, and resources in the medical facilities to fid optimal allocation of medical response.(4) Developing a digital twin computing platform to support disaster medical response activities and find optimal allocation of disaster medical services through what-if analysis of multi-agent simulation.","url":"https://doi.org/10.5194/egusphere-egu23-11756","authors":["Shunichi Koshimura","Erick Mas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-26T02:28:33Z","doi":"10.5194/egusphere-egu23-11756","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394383740.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.index","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.index","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.36227/techrxiv.171779090.06097956/v1","name":"A Proximity Model for Distributed Digital Twin Systems","source":"crossref","abstract":"Over the last decade, digital twin technology has gained increasing interest in various fields, such as industrial engineering and manufacturing, healthcare, transportation, energy, logistics, or city operations. While digital twins of single assets dominated in the beginning, we are seeing more and more digital twins for systems of assets, where digital twins need to collaborate with other digital twins to accomplish their objectives. As in service-oriented systems, digital twins provide services that can be used by other twins. While in service-oriented systems a service is typically identified by type information, this is not sufficient in digital twin systems, where there may be a large number of service instances of the same type that are not interchangeable. In this paper, we present a proximity model that allows digital twins to specify the required services by so-called neighborhoods, whose definition is based on spatial relationships between client and service instances. This concept not only simplifies service discovery in digital twin systems, but also allows for efficient implementations. To support this, we illustrate how service discovery based on the proposed proximity model can be implemented on top of a spatial DBMS.","url":"https://doi.org/10.36227/techrxiv.171779090.06097956/v1","authors":["Kurt Rothermel","Otthein Herzog","Sigfried WU Zhiqiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-07T16:08:37Z","doi":"10.36227/techrxiv.171779090.06097956/v1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5220/0015023100004042","name":"Technical Requirements for a Digital Twin PED: A BIPED Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015023100004042","authors":["Pavel Kogut","Jiri Bouchal","Susie McAleer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:34:08Z","doi":"10.5220/0015023100004042","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00031-5","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00031-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:49:57Z","doi":"10.1016/b978-0-443-30076-9.00031-5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.3280/oa-845-c232","name":"Multi-Level Information Processing Systems in the Digital Twin Era","source":"crossref","abstract":"","url":"https://doi.org/10.3280/oa-845-c232","authors":["Francesca Maria Ugliotti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-26T16:13:23Z","doi":"10.3280/oa-845-c232","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.33313/389/265","name":"Industrial IoT to Empower Digital Twin","source":"crossref","abstract":"ABSTRACT Within HORIZON, the integrated platform for process design and mill operation based on Digital Twin functionalities, specific IIOT modules are integrated to fulfill different needs of modern rolling mills. The continuous monitoring approach is critical to detect asset deterioration. By using PRISENSE for production machinery, PEGASUS for bolt evaluation, and SERPENS for spring analysis, we facilitate the adoption of predictive maintenance techniques, thus avoiding potential failures. In addition, SAGITTARIUS improves asset tracking and identification, simplifying operational procedures to increase efficiency and reduce safety issues. Digital Twin interconnects IIOT modules for widespread plant supervision.","url":"https://doi.org/10.33313/389/265","authors":["Mattia Cozzi","Dario Magni","Alberto Nardini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/265","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1109/ceii67787.2025.00054","name":"Closed-Loop Digital Twin for Energy-Efficient Scheduling in Food Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ceii67787.2025.00054","authors":["Nazly Yusubova","Shyrailym Adilkyzy","Gulshat Amirkhanova","Alina Raeva","Bauyrzhan Amirkhanov","Baizhanova Dina"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T19:10:30Z","doi":"10.1109/ceii67787.2025.00054","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/s1465-3249(23)00476-0","name":"Process Development and Manufacturing: REAL TIME PREDICTION OF OPTIMAL CAR-T CELL HARVEST TIME IN A PERFUSION BIOREACTOR VIA A DIGITAL TWIN","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1465-3249(23)00476-0","authors":["J.R. Egan","N. Marí-Buyé","E. Vallejo","M. Costa","D. Horna","Q.A. Rafiq","S. Goldrick"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-10T13:53:31Z","doi":"10.1016/s1465-3249(23)00476-0","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s10845-021-01740-z","name":"Maintenance optimization for a multi-unit system with digital twin simulation","source":"crossref","abstract":"Abstract Optimization of operations and maintenance (O&amp;M) in the industry is a topic that has been largely studied in the literature. Many authors focused on reliability-based approaches to optimize O&amp;M, but little attention has been given to study the influence of macroeconomic variables on the long-term maintenance policy. This work aims to optimize time-based maintenance (TBM) policy in the mining industry. The mine environment is reproduced employing a virtual model that resembles a digital twin (DT) of the system. The effect of maintenance decisions is replicated by a discrete event simulation (DES), whereas a model of the financial operability of the mine is realized through System Dynamics (SD). The simultaneous use of DES and the SD allows us to reproduce the environment with high-fidelity and to minimize the cost of O&amp;M. The selected illustrative case example demonstrates that the proposed approach is feasible. The issues of using high dimensional simulation data from DT-models in managerial decision making is identified and discussed.","url":"https://doi.org/10.1007/s10845-021-01740-z","authors":["Jyrki Savolainen","Michele Urbani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-02-22T03:02:36Z","doi":"10.1007/s10845-021-01740-z","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394303564","name":"Digital Twin and Blockchain for Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T08:19:44Z","doi":"10.1002/9781394303564","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1080/27525783.2025.2610579","name":"Fatigue detection and optimisation method for human–robot collaborative assembly based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2610579","authors":["Haoqi Wang","Yongle Wang","Hao Li","Shuo Ji","Gen Liu","Cunbo Zhuang","Xiaoyu Wen","Chunya Sun","WenChao Yang","Wenxiang Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-07T13:22:16Z","doi":"10.1080/27525783.2025.2610579","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/cem.70085/v1/decision1","name":"Decision letter for \"Developing Digital Twin Visualizations: A Methodology and Case Study\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/cem.70085/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-19T21:07:14Z","doi":"10.1002/cem.70085/v1/decision1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00032-7","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00032-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:50:02Z","doi":"10.1016/b978-0-443-30076-9.00032-7","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1017/etr.2026.10009.pr3","name":"Review: Establishing the rationale for a Digital Twin Framework in the built environment — R0/PR3","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.5760163","name":"Playing God: Human Digital Twin. A Legal Approach","source":"crossref","abstract":"Human Digital Twins (HDTs) seem futuristic, but the technology behind them is already a reality. Two elements make up HDTs technology: the real person and his or her digital counterpart/twin, as well as two-way communication between them. Furthermore, the actual surroundings and people that the twin interacts with in real life are transferred into cyberspace. A complete HDT does not exist, yet. In most cases, only certain aspects of human attributes are used in a particular context for specific purposes. But the technology will be able, sooner or later, to \"create\" a \"full\" HDT. This endeavour could be equated with a God creation, if we admit that God exists. To prepare to face the future, which is already here, everybody should be at least well informed. Therefore, in this article we will try to depict a comprehensible portrait of the HDTs. We will start by making a brief presentation of what Digital Twins (DTs) and HDTs technologies mean, their functioning, and their practical applications. We will focus afterwards on the legal issues concerning HDTs in an EU legal context. We will try to clarify the applicable rules and the HDTs ownership and other possible proprietary rights, such as intellectual property ones. Last, we will name a few legal and other concerns connected with HDTs.","url":"https://doi.org/10.2139/ssrn.5760163","authors":["Carmen Tamara Ungureanu","Stefan Razvan Tataru"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T19:33:49Z","doi":"10.2139/ssrn.5760163","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394411337.ch7","name":"Role of AI and Digital Twin for Smart Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.ch7","authors":["Ritesh Gangasingh BAIS","Vipan KUMAR","Manjushri JOSHI","Jainender SHARMA","Pradnya BORKAR","Mohammad Alamgir HOSSAIN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.ch7","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.procir.2019.02.087","name":"A digital twin for production planning based on cyber-physical systems: A Case Study for a Cyber-Physical System-Based Creation of a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2019.02.087","authors":["Florian Biesinger","Davis Meike","Benedikt Kraß","Michael Weyrich"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-03-13T13:15:39Z","doi":"10.1016/j.procir.2019.02.087","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.36227/techrxiv.14582943","name":"Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine","source":"crossref","abstract":"A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the \"hardware\", the Unity scripting API are used to simulate the \"software\", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.","url":"https://doi.org/10.36227/techrxiv.14582943","authors":["Ziran Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-14T04:36:52Z","doi":"10.36227/techrxiv.14582943","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.6168942","name":"A Probabilistic Physics-Based Framework for Robust and Adaptive Digital Twin Development","source":"crossref","abstract":"Digital twins are increasingly used to support predictive analysis, decision-making, and monitoring of complex physical systems. However, many existing implementations either rely on high-fidelity models that are too expensive for real-time or online use, or on purely data-driven surrogates that lack physical interpretability and robustness outside the training data. We propose a unified, physics-based computational framework for digital twinning that addresses these limitations through hierarchical model reduction, nonparametric probabilistic representation of model-form uncertainty, and data-driven calibration and updating.The framework is built on a hierarchy of projection-based reduced-order models, from high-dimensional full-order models to hyperreduced stochastic surrogates, enabling efficient prediction while preserving essential physical structure. Interpretable and non-interpretable sources of model-form uncertainty are systematically represented using low-dimensional stochastic parameterizations, allowing uncertainty propagation and inference to be performed efficiently in reduced spaces. The formulation supports both digital twin prototypes, which emphasize rapid predictive capability, and fully operational digital twin instances, in which models are continuously calibrated and updated using measurements from specific physical assets.Two aerospace applications illustrate the approach. The first demonstrates a digital twin prototype enabling real-time predictive analysis in a flight-testing environment, while the second applies a digital twin instance to asset-specific structural health monitoring under realistic operating conditions. Together, these examples show that the proposed probabilistic, reduced-order framework enables physics-consistent, computationally efficient digital twinning for complex dynamical systems.","url":"https://doi.org/10.2139/ssrn.6168942","authors":["Charbel Farhat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-02T17:20:17Z","doi":"10.2139/ssrn.6168942","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.2139/ssrn.5855462","name":"Provenance-Aware Explainable Digital Twin for Personalized Health Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5855462","authors":["Md Talha Mohsin","Ismail Abdulrashid"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-05T12:13:22Z","doi":"10.2139/ssrn.5855462","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394383740.oth","name":"Also of Interest","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.oth","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.oth","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5220/0013459200003970","name":"Digital Twin Concept for a Novel Aerosol-on-Demand Jet-Printing System","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013459200003970","authors":["Hanna Pfannenstiel","Ingo Sieber"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-24T13:50:47Z","doi":"10.5220/0013459200003970","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5220/0012999900003822","name":"Cooperation and Synchronization of Robotic Tasks Using a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012999900003822","authors":["Alexandre Parant","Laurent Arcese","Sinuhé Martinez-Martinez","Arthur Marguery"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T22:41:22Z","doi":"10.5220/0012999900003822","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1088/1742-6596/2832/1/012007","name":"Reconfigurable Digital Twin from the Perspective of Smart Manufacturing Systems in Industry 4.0/5.0","source":"crossref","abstract":"Abstract In industry 4.0/5.0, Smart manufacturing systems are typically complex systems that can be adjusted to deal with demand fluctuation through reconfigurable software/hardware. The emergence of digital twin as enabler technology can promote the operation efficiency of smart manufacturing systems. However, the modelling processes of digital twin of smart manufacturing systems is inefficient due to their complicated structures in general. Besides, the frequent reconfiguration of smart manufacturing systems and the differentiation among smart manufacturing systems will increase the burden of digital twin modelling. Therefore, a reconfigurable modelling method for digital twin of smart manufacturing systems is proposed in this paper. First, a reconfigurable modelling framework based on open architecture is proposed to provide basic model scenario for digital twin of smart manufacturing systems. Second, the reconfiguration of digital twin is elaborated from three dimensions, including reconfigurable virtual model, reconfigurable mapping, and reconfigurable scene. Finally, a case study is given to demonstrate the effectiveness of the proposed method.","url":"https://doi.org/10.1088/1742-6596/2832/1/012007","authors":["Guangyu Mo","Yuan Sun","Sihan Huang","Feng Gao","Jintang Huang","Lijuan Lai","Guoxin Wang","Yan Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-30T11:47:38Z","doi":"10.1088/1742-6596/2832/1/012007","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.dajour.2026.100729","name":"An automated data-driven simulation framework for digital twin-enabled manufacturing analytics using process mining","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dajour.2026.100729","authors":["Sina Namaki-Araghi","Thierry Louge","Arkopaul Sarkar","Bernard Archimede","Mohamed-Hedi Karray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-23T16:24:23Z","doi":"10.1016/j.dajour.2026.100729","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1375/twin.13.5.482","name":"Digital Dermatoglyphic Heritability Differences as Evidenced by a Female Twin Study","source":"crossref","abstract":"The genetic and environmental contributions to determine digital dermatoglyphic traits were investigated by using female dizygotic and monozygotic twin pairs to estimate heritability indexes (h 2 ). The evaluated sample was composed by 20 monozygotic twin pairs and 13 dizygotic twin pairs. A significant heritability (h 2 = 0.65 to 0.96) was observed for 12 dermatoglyphic characteristics (delta indexes and ridge counts for right hand, left hand and both hands, and ridge counts for most individual fingers). A negative correlation between the ridge counts and heritability indexes from individual fingers was found for the left hand, which appears to be associated to a higher arch pattern frequency in most left-hand fingers, since this frequency was negatively correlated with ridge counts and positively correlated with heritability indexes. Heritability indexes of right-hand fingers were positively correlated with loop pattern frequency and negatively correlated with whorl pattern frequency. The low heritability of ridge counts from left thumb, ring and little fingers (h 2 = 0.11 to 0.32) indicates a higher chance that the chorion type had an influence in the intra-pair variance of monozygotic twins. Results confirmed the predominant genetic influence on the total ridge count. The heritability indexes varied in up to 8 times between different fingers and its association to ridge counts and pattern frequency was very variable between hands, evidencing that the use of dermatoglyphic traits from individual fingers as indicators of genetic influences to other human traits should consider this variability.","url":"https://doi.org/10.1375/twin.13.5.482","authors":["João Felipe Machado","Paula Roquetti Fernandes","Ricardo Wagner Roquetti","José Fernandes Filho"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2010-09-28T17:29:22Z","doi":"10.1375/twin.13.5.482","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1515/9783110575422-006","name":"6. Digital manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110575422-006","authors":["B. Suresh Kumar","S. Dinesh","V. Vijayan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-10T05:35:26Z","doi":"10.1515/9783110575422-006","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.heliyon.2024.e33551","name":"Redefining fan manufacturing: Unveiling industry 5.0's human-centric evolution and digital twin revolution","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e33551","authors":["Taoer Yang","Luqman Razzaq","H. Fayaz","Atika Qazi"],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1016/j.heliyon.2024.e33551","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1109/coase.2019.8843269","name":"A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/coase.2019.8843269","authors":["Yassine Qamsane","Chien-Ying Chen","Efe C. Balta","Bin-Chou Kao","Sibin Mohan","James Moyne","Dawn Tilbury","Kira Barton"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-09-19T20:08:11Z","doi":"10.1109/coase.2019.8843269","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/j.cie.2023.109764","name":"Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cie.2023.109764","authors":["Alessio Baratta","Antonio Cimino","Francesco Longo","Letizia Nicoletti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-24T04:32:29Z","doi":"10.1016/j.cie.2023.109764","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.29284/5j105z61","name":"Towards Human-Centric Smart Manufacturing: A Digital Twin Enabled Affective Ergonomic Framework For Adaptive Human Robot Collaboration","source":"openalex","abstract":"The advent of Industry 4.0 has ushered in an era of Smart Manufacturing, where Human-Robot Collaboration (HRC) is pivotal for enhancing productivity and flexibility. However, existing HRC paradigms often overlook the dynamic internal states of human operators, focusing primarily on task efficiency and physical safety. This oversight can lead to suboptimal performance, increased stress, ergonomic risks, and reduced job satisfaction. This paper proposes a novel Digital Twin (DT) enabled Affective-Ergonomic Framework designed to foster truly human-centric adaptive HRC. Our framework integrates real-time multi-modal sensing to continuously monitor human operators' affective (e.g., stress, fatigue) and ergonomic (e.g., posture, physical load) states. These data feed into a sophisticated Human Digital Twin (HDT), which leverages machine learning models to infer and predict human states. An adaptive decision-making engine then utilizes this HDT data, alongside Robot and Environment Digital Twins, to dynamically adjust robot behavior (e.g., speed, task allocation, assistance level) in real-time. We present the architectural design, illustrative mathematical models for state inference, and a conceptual case study demonstrating the framework's potential to significantly improve human well-being, mitigate ergonomic risks, enhance safety, and ultimately boost overall system performance in smart manufacturing environments. This approach paves the way for intelligent HRC systems that proactively respond to human needs,","url":"https://doi.org/10.29284/5j105z61","authors":["Waleed khan","Muhammad Danish Rasheed","Muhammad Akram","Muhammad Imran","Rana Hassam Ahmed","Abdul Rauf"],"tags":["Task (project management)","Human–computer interaction","Industry 4.0","Human–robot interaction","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"10.29284/5j105z61","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.36341/rabit.v11i2.8127","name":"DIGITAL TWIN-BASED SYSTEM FOR SMART MONITORING AND OPERATIONAL SIMULATION OF MSMES","source":"crossref","abstract":"Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam mendukung pertumbuhan ekonomi dan ketahanan ekonomi daerah. Namun, banyak UMKM masih menghadapi permasalahan dalam monitoring operasional, pengelolaan inventori, serta analisis performa bisnis secara real-time akibat keterbatasan implementasi teknologi digital yang terintegrasi. Penelitian ini mengusulkan Digital Twin-Based System for Smart Monitoring and Operational Simulation of MSMEs untuk meningkatkan efisiensi operasional dan mendukung proses pengambilan keputusan bisnis yang lebih adaptif. Sistem yang diusulkan mengintegrasikan data operasional bisnis seperti kondisi inventori, transaksi penjualan, dan aktivitas usaha ke dalam lingkungan digital twin yang mampu merepresentasikan kondisi operasional secara dinamis dan real-time. Sistem dikembangkan menggunakan arsitektur berbasis web yang terintegrasi dengan dashboard smart monitoring dan modul simulasi operasional. Beberapa fitur utama yang diimplementasikan meliputi monitoring inventori, pengelolaan transaksi penjualan, visualisasi operasional, serta simulasi operasional bisnis. Pengujian sistem dilakukan menggunakan metode Black Box Testing dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fungsi utama sistem berjalan dengan baik sesuai kebutuhan sistem. Selain itu, hasil evaluasi UAT yang melibatkan pelaku dan staf operasional UMKM memperoleh rata-rata skor kepuasan sebesar 4,46 dari skala 5 dengan tingkat penerimaan sistem sebesar 89,2% yang termasuk dalam kategori Very Good. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan visibilitas operasional, mempermudah proses monitoring, dan mendukung analisis operasional yang lebih adaptif pada lingkungan UMKM.","url":"https://doi.org/10.36341/rabit.v11i2.8127","authors":["Muhammad Jufri","Agung Saputra","Kadek Jemmy Waciko","Sriwanti Belani","Abdurrahman Ridho","Deosa Putra Caniago","Mohd Rizki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-10T23:59:29Z","doi":"10.36341/rabit.v11i2.8127","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781119842316.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.index","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.index","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394303564.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.fmatter","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4337/9781035317189.ch158","name":"Digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035317189.ch158","authors":["Ekaterina Glebova"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T14:00:50Z","doi":"10.4337/9781035317189.ch158","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.70534/ncdb2287","name":"gQSPTwin: A MATLAB-Based Application for Automation and Standardization of the QSP Digital Twin Generation Workflow","source":"crossref","abstract":"","url":"https://doi.org/10.70534/ncdb2287","authors":["Monica Susilo","Jason Chang","Louis Joslyn","Mohammad Jafarnejad","Kapil Gadkar","Iraj Hosseini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-24T16:41:58Z","doi":"10.70534/ncdb2287","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1145/3566099.3569007","name":"Space spider","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3566099.3569007","authors":["Jiaqi Li","Lvyang Zhang","Quan Hong","Yang Yu","Lidong Zhai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T00:40:23Z","doi":"10.1145/3566099.3569007","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.21203/rs.3.rs-3601963/v1","name":"Digital Twin-Driven Lifecycle Management for Motorized Spindle","source":"crossref","abstract":"Abstract A digital twin-driven lifecycle management system for motorized spindle is proposed to monitor the lifespan of motorized spindle. The lifecycle management system is designed and developed based on the combined programming of MATLAB, ANSYS and LabVIEW. The lifespan prediction models are built according to the digital twin data of thermal characteristics of motorized spindle. The digital twin for thermal characteristics is realized through correcting the thermal boundary conditions according to the thermal boundary correction models which are established according to the measured and simulated temperatures at thermal key points. The temperature domain model of cooling channel is constructed to monitor the working status of the cooling system. The experimental results show that the digital twin-driven lifecycle management system can effectively monitor the status and remaining lifespan of the motorized spindle, which provides a basis for lifecycle management of motorized spindle.","url":"https://doi.org/10.21203/rs.3.rs-3601963/v1","authors":["Fan Kai-Guo","Jiahui Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-20T16:29:14Z","doi":"10.21203/rs.3.rs-3601963/v1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/we.2912/v3/decision1","name":"Decision letter for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v3/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v3/decision1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394365371.ch14","name":"Unlocking the Potential of Intelligent Manufacturing Guide to Digital Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394365371.ch14","authors":["Adnan Zafar","Imad Ur Rehman","Jamal Abdullah Haider","Faisal Talib"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:41:32Z","doi":"10.1002/9781394365371.ch14","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1115/1.0002840v","name":"Gas Turbine Performance Digital Twin for Real-Time Embedded Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0002840v","authors":["Vili Panov","Samuel Cruz-Manzo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T18:55:20Z","doi":"10.1115/1.0002840v","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1016/b978-0-12-821631-6.03001-2","name":"Dedication","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.03001-2","authors":["Nassim","Bibin","Affan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-17T13:04:28Z","doi":"10.1016/b978-0-12-821631-6.03001-2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.3997/2214-4609.202239041","name":"Digital twin: Mobile Projects Management","source":"crossref","abstract":"","url":"https://doi.org/10.3997/2214-4609.202239041","authors":["A. Gavrilov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-15T02:05:14Z","doi":"10.3997/2214-4609.202239041","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s10696-026-09683-4","name":"A digital twin modeling method of production lines for production state monitoring and control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10696-026-09683-4","authors":["Mingguang Liu","Shaohui Su","Wanqiang Wang","Chang Chen","Xinwen Dong","Boheng Shen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-09T09:29:30Z","doi":"10.1007/s10696-026-09683-4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s10845-026-02791-w","name":"A digital twin system for thermal error compensation of numerical control machine tools based on multi-algorithm collaborative modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-026-02791-w","authors":["Qi Liu","Zhong Chen","Qisen Wu","Hao Wang","Xianmin Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-25T08:51:51Z","doi":"10.1007/s10845-026-02791-w","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-030-89385-9_4","name":"BioSecure Digital Twin: Manufacturing Innovation and Cybersecurity Resilience","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-89385-9_4","authors":["Michael Mylrea","Charles Fracchia","Howard Grimes","Wayne Austad","Gregory Shannon","Bill Reid","Nathan Case"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-16T13:03:24Z","doi":"10.1007/978-3-030-89385-9_4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00170-025-15636-2","name":"Research on digital twin system driven by assembly action sequence database","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-15636-2","authors":["Liping Ma","Zhengjie Yang","Hongjuan Yan","Dehu Gao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-01T05:34:10Z","doi":"10.1007/s00170-025-15636-2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.22381/jsme11120235","name":"Virtual Modeling and Immersive Holographic Imaging Technologies, Cloud-based Digital Twin Manufacturing and Visual Perceptive Systems, and Bio-inspired Computational Intelligence and Context Awareness Algorithms in the Industrial Metaverse","source":"crossref","abstract":"","url":"https://doi.org/10.22381/jsme11120235","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-12T15:40:08Z","doi":"10.22381/jsme11120235","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4018/979-8-2600-1669-5","name":"Digital Twin Applications and Cognitive Enterprise Transformation Across Industries","source":"crossref","abstract":"","url":"https://doi.org/10.4018/979-8-2600-1669-5","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T12:21:41Z","doi":"10.4018/979-8-2600-1669-5","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/9781394390205.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394390205.index","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-28T21:19:22Z","doi":"10.1002/9781394390205.index","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s40436-024-00482-4","name":"Sensitivity analysis of near solidus forming (NSF) process with digital twin using Taguchi approach","source":"crossref","abstract":"Abstract Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at maturity level ready for its industrial implementation. However, to implement the process for complex cases the development of an appropriate digital twin (DT) is necessary. While developing a material model, a strong experimental and DT is necessary to be able to evaluate the accuracy of the model. Aimed at having a reliable DT under control, for future material model validations, the main objective of this work is to develop a sensitivity analysis of three NSF industrial cases such as Hook, R spindle and H spindle to develop an adequate DT calibration procedure. Firstly, the benchmark experimentation process parameter noise and experimentation boundary conditions (BCs) parameter uncertainty are identified. Secondly, the three industrial benchmark DTs are constructed, and a Taguchi design of experiments (DoEs) methodology is put in place to develop the sensitivity analysis. Finally, after simulations the results are critically evaluated and the sensitivity of each benchmark to the different inputs (process parameter noise and BC parameter uncertainty) is studied. Lastly, the optimum DT calibration procedure is developed. Overall, the results stated the minimum impact of the material model in terms of dies filling. Nevertheless, even if the material model is the highest impacting factor for the forging forces other inputs, such as heat transfer and friction must be under control first.","url":"https://doi.org/10.1007/s40436-024-00482-4","authors":["Muhammad Sajjad","Javier Trinidad","Gorka Plata","Jokin Lozares","Joseba Mendiguren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-03T06:01:46Z","doi":"10.1007/s40436-024-00482-4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.5935/jetia.v12i58.3071","name":"Digital Twin Implementation Strategies for Complex Manufacturing Ecosystems: A Multi-Level Integration Framework","source":"crossref","abstract":"","url":"https://doi.org/10.5935/jetia.v12i58.3071","authors":["Suchita B. Jadhav","Kirti A Patil","Kavita Tukaram Patil","Mokshda Nandkishor Kachave","Sharmila P Zope"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-02T11:52:51Z","doi":"10.5935/jetia.v12i58.3071","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s12008-023-01679-w","name":"Integrating digital twin and computer vision system for efficient pick-and-place operation using Tecnomatix Process Simulate","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12008-023-01679-w","authors":["Yash Jakhotiya","M. R. Rahul","Shital S. Chiddarwar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-17T02:01:38Z","doi":"10.1007/s12008-023-01679-w","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1109/access.2017.2756069","name":"Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2017.2756069","authors":["Fei Tao","Meng Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2017-09-25T14:11:14Z","doi":"10.1109/access.2017.2756069","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1109/access.2018.2793265","name":"Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2018.2793265","authors":["Qinglin Qi","Fei Tao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-01-15T17:43:18Z","doi":"10.1109/access.2018.2793265","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00170-023-11755-w","name":"Digital twin for energy-efficient integrated process planning and scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-023-11755-w","authors":["Mengke Sun","Zongyan Cai","Caoyuan Yang","Haonan Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-19T09:02:07Z","doi":"10.1007/s00170-023-11755-w","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-1-84882-287-0_12","name":"Information Sharing in Digital Manufacturing Based on STEP and XML","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-1-84882-287-0_12","authors":["Xiaoli Qiu","Xun Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2009-01-26T05:22:01Z","doi":"10.1007/978-1-84882-287-0_12","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1201/9781003610151-4","name":"Digital Twinning","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003610151-4","authors":["Venu Parameswaranpillai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-23T13:34:43Z","doi":"10.1201/9781003610151-4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.4028/p-h9xqxe","name":"Digital Twin Development and Validation for a Tapered Roller Bearing Multi-Stage Production Line","source":"crossref","abstract":"The objective of this work is to develop and validate a Digital Twin (DT) for a multistage production line of tapered roller bearings. The manufacturing process consists of ring machining and component assembly, including intensive quality controls. This work proposes the integration of machine learning models associated with the manufacture of the double outer ring and the two inner rings in the DT. The models are trained with real data, so that the DT can predict the behavior of the production process under changing conditions of ongoing processes, machines or materials, and optimal operating conditions can be predicted. The DT has been developed and integrated with the aim of guiding production by proposing optimal machine configurations. To this end, different stations have been modeled and integrated into the DT as independent modules: grinding machines, inner and outer rings pairing module, and a module for calculating the optimal family of rings to be ground. After integrating the DT in the line, results show not only a raise in the line efficiency but also a decrease in the overall scrap ratio.","url":"https://doi.org/10.4028/p-h9xqxe","authors":["Javier Domínguez","Alvaro Esteban","José Antonio Romeo","Fernando Cebrián","Sergio Santo Domingo","Juan José Aguilar Martín"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-02T06:04:11Z","doi":"10.4028/p-h9xqxe","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.26226/m.634060653701db4fe353039a","name":"A Digital Twin for Cyber-Security Research of Water Distribution Systems","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.634060653701db4fe353039a","authors":["Riccardo Taormina","Stefano Galelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-28T17:01:26Z","doi":"10.26226/m.634060653701db4fe353039a","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1002/we.2912/v1/decision1","name":"Decision letter for \"Digital twin‐driven online intelligent assessment of wind turbine gearbox\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/we.2912/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-09T17:06:16Z","doi":"10.1002/we.2912/v1/decision1","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1017/etr.2026.10009.pr4","name":"Review: Establishing the rationale for a Digital Twin Framework in the built environment — R0/PR4","source":"crossref","abstract":"","url":"https://doi.org/10.1017/etr.2026.10009.pr4","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-01T10:18:49Z","doi":"10.1017/etr.2026.10009.pr4","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00170-026-18701-6","name":"Multi-objective dynamic operation scheduling framework: practical application of digital twin in an edible oil processing plant","source":"crossref","abstract":"Abstract This study proposes a Digital Twin-integrated multi-objective dynamic operation scheduling (MO-DOS) framework for pipeline planning in industrial oil transportation. The framework addresses the complexity of multi-objective scheduling under practical operational constraints, including transport duration, energy efficiency, resource utilization, and safety risk. Pareto front optimization is systematically integrated with the Dynamic Window Approach (DWA) to enable real-time dynamic routing under these competing objectives. To improve performance in complex field environments, a field-adaptive heuristic extension, DWA-H, is incorporated into DWA. By integrating high-fidelity virtual models with physical pipeline networks, the Digital Twin-based platform supports real-time scheduling, monitoring, and optimization in industrial oil processing facilities. The proposed framework is validated using real transportation work orders and benchmarked against the traditional First-In-First-Out (FIFO) strategy and the standard MO-DOS with DWA method. Experimental results demonstrate that the proposed Digital Twin-enabled MO-DOS framework improves oil transport efficiency by approximately 54.7% and reduces operational costs by about 25%. This study establishes a scalable and deployable multi-objective scheduling framework, demonstrating the integration of Digital Twin technology and dynamic optimization for industrial applications.","url":"https://doi.org/10.1007/s00170-026-18701-6","authors":["Chia-Jen Lin","Chin-Sheng Chen","Feng-Chieh Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T01:28:59Z","doi":"10.1007/s00170-026-18701-6","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.3389/fmtec.2022.1021029","name":"Cloud-based process design in a digital twin framework with integrated and coupled technology models for blisk milling","source":"crossref","abstract":"In this publication, the application of an implemented Digital Twin (DT) framework is presented by orchestration of CAM-integrated and containerized technology models carrying out FEM-coupled simulations for the finishing process of a simplified blade integrated disk (blisk) demonstrator. As a case study, the continuous acquisition, processing and usage of virtual process planning and simulation data as well as real machine and sensor data along the value chain is presented. The use case demonstrates the successful application of the underlying DT framework implementation for the prediction of the continuously changing dynamic behavior of the workpiece and according stable spindle speeds in the process planning phase as well as their validation in the actual manufacturing phase.","url":"https://doi.org/10.3389/fmtec.2022.1021029","authors":["Viktor Rudel","Pascal Kienast","Georg Vinogradov","Philipp Ganser","Thomas Bergs"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-19T16:59:36Z","doi":"10.3389/fmtec.2022.1021029","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/s00170-025-15072-2","name":"Research on digital twin model for milling parameter optimization of thin-walled parts","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-15072-2","authors":["Jianxin Song","Hongyu Jin","Xiaopeng Wang","Tengfei Hu","Zhenyu Han","Hongya Fu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-25T06:27:29Z","doi":"10.1007/s00170-025-15072-2","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.1007/978-3-030-43177-8_3","name":"Using a Digital Twin for Production Planning and Control in Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-43177-8_3","authors":["Ícaro Romolo Sousa Agostino","Eike Broda","Enzo M. Frazzon","Michael Freitag"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-08T17:07:53Z","doi":"10.1007/978-3-030-43177-8_3","addedAt":"2026-09-01T01:47:43.715Z","updatedAt":"2026-09-01T01:47:43.715Z"},{"id":"doi:10.60692/82knb-hvg47","name":"A MODEL PROPOSAL FOR DIGITAL TWIN DEVELOPMENT","source":"datacite","abstract":"Digital twins are becoming a powerful tool to enhance industrial processes worldwide.This paper proposes a model for the creation of industrial processes' digital twins, using a steam distillation process for essential oil extraction as a case study.A grey box modeling is suggested combining a machine learning based model with physical modeling to improve the process.Real time simulation and a hybrid control strategy are used, linked to reinforcement learning and PID control, focusing on the yield increase and optimization.A creation method is elaborated to support other applications of digital twins in industrial processes in the future.","url":"https://doi.org/10.60692/82knb-hvg47","authors":["Matheus Antônio Nogueira de Andrade","Herman Augusto Lepikson","Carlos Alberto Tosta Machado","Yasmim Thasla Santos Ferreira","Sara Freitas Santos Vasconcelos"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","State-of-the-Art in Process Optimization under Uncertainty","Control and Systems Engineering","Digital Twin","Process Intensification"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.60692/82knb-hvg47","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/zb5pv-0c554","name":"Clamping force model application on the aircraft structural assembly","source":"datacite","abstract":"The aeronautic manufacturing industry has been seeking to enhance competitiveness and product quality by applying the Industry 4.0's technologies. Particularly, on the roadmap of the digital twin era, a way to achieve a reduction in manufacturing time and thus production cost is to obtain prediction models of the main elementary assembly operations and functions within aircraft manufacturing process, such as the clamping force applied by the temporary fasteners on the aircraft's structural parts. Besides being a mandatory operation, it affects multiple tasks along the product's assembly lifecycle. This work focuses on the role of the clamping force in the assembly process, establishing its functional model by means of an experimental approach based upon resources used on a real shop floor of a major aircraft manufacturer. To evince the main requirements that the clamping force tools can achieve, this work employs the Taguchi Design method, design of experiments, and process capability analysis. The model resulted from the aforementioned methods and tools allows the assembly behavior prediction and thus the control of the manufacturing process, ultimately yielding a better geometry quality.","url":"https://doi.org/10.60692/zb5pv-0c554","authors":["João Marcos Gomes de Mello","Luı́s Gonzaga Trabasso","André Vinícius Santos Silva","Wesley Rodrigues de Oliveira"],"tags":["Design for Manufacture and Assembly in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Additive Manufacturing and 3D Printing Technologies","Automotive Engineering","FOS: Mechanical engineering","Industry 4.0 and Digital Transformation in Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/zb5pv-0c554","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/0t6fd-mee59","name":"Clamping force model application on the aircraft structural assembly","source":"datacite","abstract":"The aeronautic manufacturing industry has been seeking to enhance competitiveness and product quality by applying the Industry 4.0's technologies. Particularly, on the roadmap of the digital twin era, a way to achieve a reduction in manufacturing time and thus production cost is to obtain prediction models of the main elementary assembly operations and functions within aircraft manufacturing process, such as the clamping force applied by the temporary fasteners on the aircraft's structural parts. Besides being a mandatory operation, it affects multiple tasks along the product's assembly lifecycle. This work focuses on the role of the clamping force in the assembly process, establishing its functional model by means of an experimental approach based upon resources used on a real shop floor of a major aircraft manufacturer. To evince the main requirements that the clamping force tools can achieve, this work employs the Taguchi Design method, design of experiments, and process capability analysis. The model resulted from the aforementioned methods and tools allows the assembly behavior prediction and thus the control of the manufacturing process, ultimately yielding a better geometry quality.","url":"https://doi.org/10.60692/0t6fd-mee59","authors":["João Marcos Gomes de Mello","Luı́s Gonzaga Trabasso","André Vinícius Santos Silva","Wesley Rodrigues de Oliveira"],"tags":["Design for Manufacture and Assembly in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Additive Manufacturing and 3D Printing Technologies","Automotive Engineering","FOS: Mechanical engineering","Industry 4.0 and Digital Transformation in Manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/0t6fd-mee59","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/vbb7b-fd830","name":"Estimation of Energy Consumption by Theoretical Calculations and Iot Based Approach in Machining Process","source":"datacite","abstract":"Abstract The machining process plays an integral role in the manufacturing and machining industry. A considerable amount of energy is consumed by the machine shops for material removal processes. Through a digital twin-based experimentation approach using Thing Worx, we have focused on determining a theoretical calculation to determine the exact amount of energy consumption during the material removal process. We have considered three models for machining operations i.e., Turning, Facing and grooving (undercut operation). We are calculating the power consumption by considering two variable parameters a) Cutting speed and b) Material Removal rate (MRR). Adding to that, we have also demonstrated a simulation using Autodesk Fusion 360 for the energy estimation for different cases. This IoT-based approach will convert conventional shop floors into smart shop floors as per Industry 4.0. This IoT-based prediction will help machine shops develop potential ways to save energy costs. We have considered different machining parameters (tools, material, geometry of the job, etc.) for better and more accurate results.","url":"https://doi.org/10.60692/vbb7b-fd830","authors":["Aditya Hasabnis","Harshal Kulkarni","Boopathi Marimuthu"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Energy Efficiency in Manufacturing and Industry Sector","Renewable Energy, Sustainability and the Environment","Energy","Electrical Discharge Machining Processes"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/vbb7b-fd830","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/h0ffp-25q18","name":"Estimation of Energy Consumption by Theoretical Calculations and Iot Based Approach in Machining Process","source":"datacite","abstract":"Abstract The machining process plays an integral role in the manufacturing and machining industry. A considerable amount of energy is consumed by the machine shops for material removal processes. Through a digital twin-based experimentation approach using Thing Worx, we have focused on determining a theoretical calculation to determine the exact amount of energy consumption during the material removal process. We have considered three models for machining operations i.e., Turning, Facing and grooving (undercut operation). We are calculating the power consumption by considering two variable parameters a) Cutting speed and b) Material Removal rate (MRR). Adding to that, we have also demonstrated a simulation using Autodesk Fusion 360 for the energy estimation for different cases. This IoT-based approach will convert conventional shop floors into smart shop floors as per Industry 4.0. This IoT-based prediction will help machine shops develop potential ways to save energy costs. We have considered different machining parameters (tools, material, geometry of the job, etc.) for better and more accurate results.","url":"https://doi.org/10.60692/h0ffp-25q18","authors":["Aditya Hasabnis","Harshal Kulkarni","Boopathi Marimuthu"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Energy Efficiency in Manufacturing and Industry Sector","Renewable Energy, Sustainability and the Environment","Energy","Electrical Discharge Machining Processes"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/h0ffp-25q18","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/j3ctg-wj419","name":"Continuous agile cyber–physical systems architectures based on digital twins","source":"datacite","abstract":"Modern cyber–physical systems by the most part are large-scale multilevel distributed heterogeneous systems consisting of elements of different physical nature, built using Internet of Things platforms and are characterized by a high level of structural and behavioral (architectural) variability. Managing such systems and keeping them in working condition throughout their lifetime is a difficult task. The proposed article discusses one of the possible approaches to solving this problem, based on the use of well-known continuous and agile architecture paradigms. However, there are currently no effective mechanisms for implementing these paradigms. The proposed article discusses one of the possible approaches to the implementation of mechanisms of continuous agile architectures based on the use of digital twins and proposes a reference architecture of a run time dynamic digital twin. A distinctive feature of the proposed approach is the use of a continuum of digital twins with built-in dynamic models of the observed system, which are built in real time based on information about system events. The initial models are built on the basis of models used in previous system lifecycle phases. The following results are received: (i) an approach to the implementation of the continuous agile architecture paradigm through the use of dynamic digital twin is proposed; (ii) a generalized three-level model of the life cycle of the continuous agile architecture is proposed; (iii) a reference architecture of a dynamic digital twin is proposed; (iv) a system of models focused on the use as part of a dynamic digital twin is proposed. The suggested approach can be used for management of heterogeneous multilevel cyber–physical systems with high level of structural and behavioral variability.","url":"https://doi.org/10.60692/j3ctg-wj419","authors":["Alexander Vodyaho","Nataly Zhukova","Radhakrishnan Delhibabu","Alexey Subbotin"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Smart University in Digital Ecosystems","Information Systems","FOS: Computer and information sciences","Computer Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/j3ctg-wj419","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/ssjxj-skd77","name":"Continuous agile cyber–physical systems architectures based on digital twins","source":"datacite","abstract":"Modern cyber–physical systems by the most part are large-scale multilevel distributed heterogeneous systems consisting of elements of different physical nature, built using Internet of Things platforms and are characterized by a high level of structural and behavioral (architectural) variability. Managing such systems and keeping them in working condition throughout their lifetime is a difficult task. The proposed article discusses one of the possible approaches to solving this problem, based on the use of well-known continuous and agile architecture paradigms. However, there are currently no effective mechanisms for implementing these paradigms. The proposed article discusses one of the possible approaches to the implementation of mechanisms of continuous agile architectures based on the use of digital twins and proposes a reference architecture of a run time dynamic digital twin. A distinctive feature of the proposed approach is the use of a continuum of digital twins with built-in dynamic models of the observed system, which are built in real time based on information about system events. The initial models are built on the basis of models used in previous system lifecycle phases. The following results are received: (i) an approach to the implementation of the continuous agile architecture paradigm through the use of dynamic digital twin is proposed; (ii) a generalized three-level model of the life cycle of the continuous agile architecture is proposed; (iii) a reference architecture of a dynamic digital twin is proposed; (iv) a system of models focused on the use as part of a dynamic digital twin is proposed. The suggested approach can be used for management of heterogeneous multilevel cyber–physical systems with high level of structural and behavioral variability.","url":"https://doi.org/10.60692/ssjxj-skd77","authors":["Alexander Vodyaho","Nataly Zhukova","Radhakrishnan Delhibabu","Alexey Subbotin"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Smart University in Digital Ecosystems","Information Systems","FOS: Computer and information sciences","Computer Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/ssjxj-skd77","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.3929/ethz-b-000522437","name":"Virtual Reality Extension for Digital Twins of Machine Tools","source":"datacite","abstract":"Progress in IS","url":"https://doi.org/10.3929/ethz-b-000522437","authors":["Holzwarth, Valentin","Hirt, Christian","Gisler, Joy","Kunz, Andreas"],"tags":["Digital twin","Manufacturing","Machine tools"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.3929/ethz-b-000522437","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/xmk9e-yqn24","name":"Digital Twin Experiments Focusing Virtualisation, Connectivity and Real-time Monitoring","source":"datacite","abstract":"Industry 4.0 is re-shaping the manufacturing world, and amongst the several associated emerging methods and technologies, Digital Twin is becoming a popular approach both in industry and academia.However, the lack of knowledge about the characteristics, functionalities, best practices and benefits that it can provide, especially for small and medium enterprises, constraints its wider adoption.The use of real applications and demonstrators can contribute to exposing stakeholders to these new and innovative technologies and approaches, showing the applicability of Digital Twins.This paper presents several experiments in implementing Digital Twin for automation scenarios, considering different technologies and functionalities, namely in terms of virtualisation, connectivity and monitoring.Lessons learnt and challenges are also provided as a result of the experimental implementations.","url":"https://doi.org/10.60692/xmk9e-yqn24","authors":["Flávia Pires","Victória Melo","Joao Felipe Brandao Almeida","Paulo Leitão"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Design and Operation of Reconfigurable Manufacturing Systems","Design for Manufacture and Assembly in Manufacturing","Digital Twin","Virtual Prototyping"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.60692/xmk9e-yqn24","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/yatp4-s0e56","name":"Digital Twin Experiments Focusing Virtualisation, Connectivity and Real-time Monitoring","source":"datacite","abstract":"Industry 4.0 is re-shaping the manufacturing world, and amongst the several associated emerging methods and technologies, Digital Twin is becoming a popular approach both in industry and academia.However, the lack of knowledge about the characteristics, functionalities, best practices and benefits that it can provide, especially for small and medium enterprises, constraints its wider adoption.The use of real applications and demonstrators can contribute to exposing stakeholders to these new and innovative technologies and approaches, showing the applicability of Digital Twins.This paper presents several experiments in implementing Digital Twin for automation scenarios, considering different technologies and functionalities, namely in terms of virtualisation, connectivity and monitoring.Lessons learnt and challenges are also provided as a result of the experimental implementations.","url":"https://doi.org/10.60692/yatp4-s0e56","authors":["Flávia Pires","Victória Melo","Joao Felipe Brandao Almeida","Paulo Leitão"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Design and Operation of Reconfigurable Manufacturing Systems","Design for Manufacture and Assembly in Manufacturing","Digital Twin","Virtual Prototyping"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.60692/yatp4-s0e56","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/mgcwm-9vc04","name":"Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0","source":"datacite","abstract":"The Fourth Industrial Revolution has brought society many benefits, such as technological advances, and many challenges to be overcome. To increase the synergy between physical and digital systems, most often used in the optimization processes of physical systems, metrology 4.0 has become an essential tool for their development. A state-of-the-art paper is significant in understanding how these applications develop, focusing on Cyber-Physical Systems and Digital Twins in ionizing radiation. The online search was conducted in general and specific databases with keywords in English. Thus, twelve articles were analyzed and discussed, divided into three main themes: indirect applications, ionizing radiation metrology projects, and systematic reviews. It was possible to notice that the number of articles related to these technologies in ionizing radiation is still tiny compared to other areas, especially when compared to the industry, making it even more challenging.","url":"https://doi.org/10.60692/mgcwm-9vc04","authors":["Eric Matos Macêdo","Igor Fernando Modesto Garcia","Fellipe Souza da Silva","Jeovana Santos Ferreira","Samuel Façanha","Monaliza Almeida","João Emílio Peixoto"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Smart University in Digital Ecosystems","Information Systems","FOS: Computer and information sciences","Computer Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/mgcwm-9vc04","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/hrt09-d5k65","name":"Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0","source":"datacite","abstract":"The Fourth Industrial Revolution has brought society many benefits, such as technological advances, and many challenges to be overcome. To increase the synergy between physical and digital systems, most often used in the optimization processes of physical systems, metrology 4.0 has become an essential tool for their development. A state-of-the-art paper is significant in understanding how these applications develop, focusing on Cyber-Physical Systems and Digital Twins in ionizing radiation. The online search was conducted in general and specific databases with keywords in English. Thus, twelve articles were analyzed and discussed, divided into three main themes: indirect applications, ionizing radiation metrology projects, and systematic reviews. It was possible to notice that the number of articles related to these technologies in ionizing radiation is still tiny compared to other areas, especially when compared to the industry, making it even more challenging.","url":"https://doi.org/10.60692/hrt09-d5k65","authors":["Eric Matos Macêdo","Igor Fernando Modesto Garcia","Fellipe Souza da Silva","Jeovana Santos Ferreira","Samuel Façanha","Monaliza Almeida","João Emílio Peixoto"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Smart University in Digital Ecosystems","Information Systems","FOS: Computer and information sciences","Computer Science"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/hrt09-d5k65","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/3jvsd-44w41","name":"Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis","source":"datacite","abstract":"Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest.In this context, this paper presents a predictive maintenance tool of electric motors using the concepts of Digital Twin (DT) and Industrial Internet of Things (IIoT).The proposed system is innovative, as it monitors the motor current and temperature by means of sensors and a low-cost acquisition module, and these measurements are sent via Wi-Fi to a database.The concept of DT was leveraged by providing the measurements as inputs to a high-fidelity strongly-coupled model of the monitored monitor, using the Finite Element Method (FEM).The results obtained are satisfactory, because the sensors used presented acceptable errors that do not interfere with the reliability of the results.The computer simulation showed relative errors below 4% in the conductivity analysis and 10% in the temperature analysis.In addition, the simulation allows verifying the internal temperature of the motor, its resistive losses, and the intensity of the magnetic flux at each pole.It is worth pointing out that the internal analysis performed is only possible due to the combination of IIoT and computer simulations.Therefore, they allow a better diagnosis of the motor's operational status and also a time estimate for the next maintenance service, thus being ideal for the industrial sector.","url":"https://doi.org/10.60692/3jvsd-44w41","authors":["Jhennifer Freitas Dos Santos","Bendict Katukula Tshoombe","Lucas H. B. Santos","Ramon C. F. Araújo","Allan Rodrigo Arrifano Manito","Wellington da Silva Fonseca","Marcelo de Oliveira e Silva"],"tags":["Electrical Discharge Machining Processes","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Welding Techniques and Residual Stresses"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/3jvsd-44w41","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/pa2g7-8k211","name":"Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis","source":"datacite","abstract":"Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest.In this context, this paper presents a predictive maintenance tool of electric motors using the concepts of Digital Twin (DT) and Industrial Internet of Things (IIoT).The proposed system is innovative, as it monitors the motor current and temperature by means of sensors and a low-cost acquisition module, and these measurements are sent via Wi-Fi to a database.The concept of DT was leveraged by providing the measurements as inputs to a high-fidelity strongly-coupled model of the monitored monitor, using the Finite Element Method (FEM).The results obtained are satisfactory, because the sensors used presented acceptable errors that do not interfere with the reliability of the results.The computer simulation showed relative errors below 4% in the conductivity analysis and 10% in the temperature analysis.In addition, the simulation allows verifying the internal temperature of the motor, its resistive losses, and the intensity of the magnetic flux at each pole.It is worth pointing out that the internal analysis performed is only possible due to the combination of IIoT and computer simulations.Therefore, they allow a better diagnosis of the motor's operational status and also a time estimate for the next maintenance service, thus being ideal for the industrial sector.","url":"https://doi.org/10.60692/pa2g7-8k211","authors":["Jhennifer Freitas Dos Santos","Bendict Katukula Tshoombe","Lucas H. B. Santos","Ramon C. F. Araújo","Allan Rodrigo Arrifano Manito","Wellington da Silva Fonseca","Marcelo de Oliveira e Silva"],"tags":["Electrical Discharge Machining Processes","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Welding Techniques and Residual Stresses"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.60692/pa2g7-8k211","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11371872","name":"An industrial data-spaces framework for resilient manufacturing value chains","source":"datacite","abstract":"Manufacturing industries continuously face the challenge of delivering high-quality products under high production rates while minimizing non-value adding activities. The recent COVID-19 pandemic has caused manufacturers to rethink and reassess their global supply chains and the flexibility of their production sites. Resilience means the ability to withstand difficult situations without incurring significant extra costs. The deficiencies can be attributed largely to the lack of efficient ways for trusted data sharing among the value chain stakeholders without interoperability barriers. There is a need to be able to determine when such changes lead to deterministic-chaotic behavior with far reaching consequences. This work presents a framework to support production networks' reconfiguration for resilient manufacturing value chains. The proposed concept utilizes platform-based manufacturing that builds on the concept of dataspace and its reference implementations of Gaia-X and IDS for data-sharing in the horizontal supply chain and the Asset Administration Shell (AAS) for implementing intra-factory reconfiguration practices. Moreover, the proposed framework considers the Digital Twin of the value-adding network as a key enabling technology to achieve reconfiguratio","url":"https://doi.org/10.5281/zenodo.11371872","authors":["Alexopoulos, Kosmas","Weber, Markus","Trautner, Thomas","Manns, Martin","Nikolakis, Nikolaos","Weigold, Matthias","Engeld, Bernd"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11371872","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11371871","name":"An industrial data-spaces framework for resilient manufacturing value chains","source":"datacite","abstract":"Manufacturing industries continuously face the challenge of delivering high-quality products under high production rates while minimizing non-value adding activities. The recent COVID-19 pandemic has caused manufacturers to rethink and reassess their global supply chains and the flexibility of their production sites. Resilience means the ability to withstand difficult situations without incurring significant extra costs. The deficiencies can be attributed largely to the lack of efficient ways for trusted data sharing among the value chain stakeholders without interoperability barriers. There is a need to be able to determine when such changes lead to deterministic-chaotic behavior with far reaching consequences. This work presents a framework to support production networks' reconfiguration for resilient manufacturing value chains. The proposed concept utilizes platform-based manufacturing that builds on the concept of dataspace and its reference implementations of Gaia-X and IDS for data-sharing in the horizontal supply chain and the Asset Administration Shell (AAS) for implementing intra-factory reconfiguration practices. Moreover, the proposed framework considers the Digital Twin of the value-adding network as a key enabling technology to achieve reconfiguratio","url":"https://doi.org/10.5281/zenodo.11371871","authors":["Alexopoulos, Kosmas","Weber, Markus","Trautner, Thomas","Manns, Martin","Nikolakis, Nikolaos","Weigold, Matthias","Engeld, Bernd"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11371871","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11261748","name":"A manufacturing process digital twin network addressing business added value","source":"datacite","abstract":"A paper presented at EMERGING TECH CONFERENCE (ETCEI 2022) in Patras, Greece, in 2022.","url":"https://doi.org/10.5281/zenodo.11261748","authors":["Papacharalampopoulos, Alexios","Stavropoulos, Panagiotis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.11261748","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11261747","name":"A manufacturing process digital twin network addressing business added value","source":"datacite","abstract":"A paper presented at EMERGING TECH CONFERENCE (ETCEI 2022) in Patras, Greece, in 2022.","url":"https://doi.org/10.5281/zenodo.11261747","authors":["Papacharalampopoulos, Alexios","Stavropoulos, Panagiotis"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.11261747","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2401.07985","name":"From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications","source":"datacite","abstract":"The transformation to Industry 4.0 also transforms the processes of how we develop intelligent manufacturing production systems. To advance the software development of these new (embedded) software systems, digital twins may be employed. However, there is no consensual definition of what a digital twin is. In this paper, we give an overview of the current state of the digital twin concept and formalize the digital twin concept using the Object-Z notation. This formalization includes the concepts of physical twins, digital models, digital templates, digital threads, digital shadows, digital twins, and digital twin prototypes. The relationships between all these concepts are visualized as UML class diagrams. Our digital twin prototype (DTP) approach supports engineers during the development and automated testing of complex embedded software systems. This approach enable engineers to test embedded software systems in a virtual context, without the need of a connection to a physical object. In continuous integration / continuous deployment pipelines such digital twin prototypes can be used for automated integration testing and, thus, allow for an agile verification and validation process. In this paper, we demonstrate and report on how to apply and implement a digital twin by the example of two real-world field studies (ocean observation systems and smart farming). For independent replication and extension of our approach by other researchers, we provide a lab study published open source on GitHub.","url":"https://doi.org/10.48550/arxiv.2401.07985","authors":["Barbie, Alexander","Hasselbring, Wilhelm"],"tags":["Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2401.07985","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2405.16676","name":"iDIGIT4L. Nuevos ecosistemas de digitalización y aprendizaje hombre-máquina para sistemas de fabricación industrial heredados","source":"datacite","abstract":"The digitization of the productive ecosystem related to human-machine interaction has become a priority for small and medium-sized enterprises. Particularly to face the challenges of Industry 4.0 and advanced digital skills in the workplace. From the research point of view, digitization opens a global scenario for the generation of opportunities for learning in existing manufacturing systems. Mainly, traditional environments must deal with competitive pressures to incorporate new technologies and adapt the skills of workers. In this paper is presented the iDIGIT4L project, which was envisaged to research and develop a digitization ecosystem where people and systems interact in order to transform industrial processes in an intelligent and predictive way. The project contributes with a three-tier human-machine learning methodology that provides augmented and bi-directional interaction in a traditional manufacturing scenario. It is based on the implementation of a non-intrusively integrated digital twin, characterizing an old industrial milling machine for learning through knowledge models supported by the experience of skilled workers. As a result, it has been possible to simultaneously update the functionalities of the industrial system and the digital skills of the workers, becoming an integral part of the digital twin.","url":"https://doi.org/10.48550/arxiv.2405.16676","authors":["García, Alvaro","Cañibano, Esteban"],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.16676","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11312564","name":"Transformative Tales of Mechanical Mastery: A Comprehensive Exploration of Innovations, Engineering Feats, and Future Prospects in Mechanical Design and Machinery","source":"datacite","abstract":"Embark on a captivating journey through the intricate landscape of modern engineering with \"Transformative Tales of Mechanical Mastery.\" This expansive exploration delves deep into the realm of mechanical marvels, showcasing the remarkable innovations, engineering feats, and future prospects that have reshaped industries and propelled technological progress to new heights. From the dawn of the industrial revolution to the forefront of 21st-century innovation, this comprehensive work navigates through the annals of mechanical design, unraveling the stories behind pioneering inventions, groundbreaking discoveries, and visionary approaches that have revolutionized the way we live, work, and interact with the world around us. Through a lens of ingenuity and creativity, \"Transformative Tales of Mechanical Mastery\" illuminates the evolution of mechanical systems, from the intricacies of clockwork mechanisms to the complexities of modern machinery. Explore the iconic landmarks of engineering excellence, from the towering achievements of the past to the cutting-edge technologies shaping the future. Witness the awe-inspiring ingenuity of the industrial revolution, the transformative power of automation and robotics, and the boundless potential of emerging fields such as additive manufacturing, nanotechnology, and smart materials. But the journey doesn't end there. \"Transformative Tales of Mechanical Mastery\" ventures beyond the confines of the present, offering glimpses into the future of mechanical design and machinery. Peer into the realm of possibility as visionary engineers and innovators push the boundaries of what's possible, from the development of self-healing materials to the realization of autonomous systems and intelligent machines. Discover how advancements in artificial intelligence, machine learning, and digital twin technology are revolutionizing the way we design, optimize, and operate mechanical systems in an ever-changing world. With its captivating narrative and rich tapestry of insights, \"Transformative Tales of Mechanical Mastery\" promises to captivate and inspire readers from all walks of life. Whether you're an engineer seeking inspiration, a student exploring the frontiers of science and technology, or simply a curious mind eager to unravel the mysteries of mechanical marvels, this definitive exploration offers a window into a world of innovation, discovery, and endless possibilities. Join us on this extraordinary odyssey through the wonders of mechanical mastery and unlock the secrets to shaping the future of engineering excellence","url":"https://doi.org/10.5281/zenodo.11312564","authors":["Iqtiar Md Siddique"],"tags":["Mechanical Mastery","Engineering Feats","Mechanical Design","Machinery"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11312564","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11312563","name":"Transformative Tales of Mechanical Mastery: A Comprehensive Exploration of Innovations, Engineering Feats, and Future Prospects in Mechanical Design and Machinery","source":"datacite","abstract":"Embark on a captivating journey through the intricate landscape of modern engineering with \"Transformative Tales of Mechanical Mastery.\" This expansive exploration delves deep into the realm of mechanical marvels, showcasing the remarkable innovations, engineering feats, and future prospects that have reshaped industries and propelled technological progress to new heights. From the dawn of the industrial revolution to the forefront of 21st-century innovation, this comprehensive work navigates through the annals of mechanical design, unraveling the stories behind pioneering inventions, groundbreaking discoveries, and visionary approaches that have revolutionized the way we live, work, and interact with the world around us. Through a lens of ingenuity and creativity, \"Transformative Tales of Mechanical Mastery\" illuminates the evolution of mechanical systems, from the intricacies of clockwork mechanisms to the complexities of modern machinery. Explore the iconic landmarks of engineering excellence, from the towering achievements of the past to the cutting-edge technologies shaping the future. Witness the awe-inspiring ingenuity of the industrial revolution, the transformative power of automation and robotics, and the boundless potential of emerging fields such as additive manufacturing, nanotechnology, and smart materials. But the journey doesn't end there. \"Transformative Tales of Mechanical Mastery\" ventures beyond the confines of the present, offering glimpses into the future of mechanical design and machinery. Peer into the realm of possibility as visionary engineers and innovators push the boundaries of what's possible, from the development of self-healing materials to the realization of autonomous systems and intelligent machines. Discover how advancements in artificial intelligence, machine learning, and digital twin technology are revolutionizing the way we design, optimize, and operate mechanical systems in an ever-changing world. With its captivating narrative and rich tapestry of insights, \"Transformative Tales of Mechanical Mastery\" promises to captivate and inspire readers from all walks of life. Whether you're an engineer seeking inspiration, a student exploring the frontiers of science and technology, or simply a curious mind eager to unravel the mysteries of mechanical marvels, this definitive exploration offers a window into a world of innovation, discovery, and endless possibilities. Join us on this extraordinary odyssey through the wonders of mechanical mastery and unlock the secrets to shaping the future of engineering excellence","url":"https://doi.org/10.5281/zenodo.11312563","authors":["Iqtiar Md Siddique"],"tags":["Mechanical Mastery","Engineering Feats","Mechanical Design","Machinery"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11312563","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11097754","name":"Streamlining simulation workflow for composites","source":"datacite","abstract":"Resin transfer molding (RTM) is a commonly used process to manufacture composite parts of complex shapes in large quantities. The manufacturing process of RTM composites is inherently susceptible to defects such as voids, resin-rich areas, fiber misalignment, residual deformations, residual stresses, etc. These defects can compromise the performance of the part. To minimize manufacturing trial-and-error, computer-aided engineering (CAE) tools can be used to find the optimal process-to-performance parameters. Using Simcenter™ 3D software provides a composite manufacturing digital twin, which reduces manufacturing-induced defects and improves performance properties. It also reduces the time-consuming manual engineering work of synchronizing input/output across simulation stages. This white paper highlights the importance of adopting a defect mitigation strategy during design and manufacturing to ensure a component’s structural integrity and safety.","url":"https://doi.org/10.5281/zenodo.11097754","authors":["Matveeva, Anna","Shishkina, Oxana","Donders, Stijn","Farkas, Laszlo","Vieira, João","Marques, Eduardo","Silvestre, Nuno"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11097754","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.11097753","name":"Streamlining simulation workflow for composites","source":"datacite","abstract":"Resin transfer molding (RTM) is a commonly used process to manufacture composite parts of complex shapes in large quantities. The manufacturing process of RTM composites is inherently susceptible to defects such as voids, resin-rich areas, fiber misalignment, residual deformations, residual stresses, etc. These defects can compromise the performance of the part. To minimize manufacturing trial-and-error, computer-aided engineering (CAE) tools can be used to find the optimal process-to-performance parameters. Using Simcenter™ 3D software provides a composite manufacturing digital twin, which reduces manufacturing-induced defects and improves performance properties. It also reduces the time-consuming manual engineering work of synchronizing input/output across simulation stages. This white paper highlights the importance of adopting a defect mitigation strategy during design and manufacturing to ensure a component’s structural integrity and safety.","url":"https://doi.org/10.5281/zenodo.11097753","authors":["Matveeva, Anna","Shishkina, Oxana","Donders, Stijn","Farkas, Laszlo","Vieira, João","Marques, Eduardo","Silvestre, Nuno"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.11097753","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2405.09572","name":"Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing","source":"datacite","abstract":"A digital twin (DT), with the components of a physics-based model, a data-driven model, and a machine learning (ML) enabled efficient surrogate, behaves as a virtual twin of the real-world physical process. In terms of Laser Powder Bed Fusion (L-PBF) based additive manufacturing (AM), a DT can predict the current and future states of the melt pool and the resulting defects corresponding to the input laser parameters, evolve itself by assimilating in-situ sensor data, and optimize the laser parameters to mitigate defect formation. In this paper, we present a deep neural operator enabled computational framework of the DT for closed-loop feedback control of the L-PBF process. This is accomplished by building a high-fidelity computational model to accurately represent the melt pool states, an efficient surrogate model to approximate the melt pool solution field, followed by an physics-based procedure to extract information from the computed melt pool simulation that can further be correlated to the defect quantities of interest (e.g., surface roughness). In particular, we leverage the data generated from the high-fidelity physics-based model and train a series of Fourier neural operator (FNO) based ML models to effectively learn the relation between the input laser parameters and the corresponding full temperature field of the melt pool. Subsequently, a set of physics-informed variables such as the melt pool dimensions and the peak temperature can be extracted to compute the resulting defects. An optimization algorithm is then exercised to control laser input and minimize defects. On the other hand, the constructed DT can also evolve with the physical twin via offline finetuning and online material calibration. Finally, a probabilistic framework is adopted for uncertainty quantification. The developed DT is envisioned to guide the AM process and facilitate high-quality manufacturing.","url":"https://doi.org/10.48550/arxiv.2405.09572","authors":["Liu, Ning","Li, Xuxiao","Rajanna, Manoj R.","Reutzel, Edward W.","Sawyer, Brady","Rao, Prahalada","Lua, Jim","Phan, Nam","Yu, Yue"],"tags":["Signal Processing (eess.SP)","Artificial Intelligence (cs.AI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.09572","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.17632/v5hp75hrtj.1","name":"A Printing-Inspired Digital Twin for the Self-Driving, High-Throughput, Closed-Loop Optimization of Roll-to-Roll Printed Photovoltaics","source":"datacite","abstract":"Datasets related to the manuscript 'A Printing-Inspired Digital Twin for the Self-Driving, High-Throughput, Closed-Loop Optimization of Roll-to-Roll Printed Photovoltaics' by Ng et al. The hypothesis of this research is that integrating high-throughput roll-to-roll (R2R) fabrication with machine learning (ML) models can significantly enhance the scalability and performance of printed organic photovoltaic (PV) devices. By employing a digital twin approach, fabrication parameters can be optimized in real-time, improving power conversion efficiency (PCE) and overall device performance through closed-loop feedback. The dataset includes raw data from the initial fabrication and characterization of 11,800 devices, along with refined data for ML modeling. The PV devices were fabricated using an R2R process, with layers deposited onto polyethylene terephthalate (PET) strips, and characterized under 1 sun conditions (AM 1.5G). The raw data contains 649,055 data points, including fabrication parameters, characterization results, and environmental conditions. The dataset comprises two main parts: Dataset 1: The raw data collected from the initial high-throughput fabrication and characterization of 11,800 organic photovoltaic devices. Dataset 2: The refined and cleaned dataset used for machine learning modeling, which includes training, validation, and testing subsets. Data Collection Methodology Fabrication: The photovoltaic devices were fabricated using a roll-to-roll process, with functional layers deposited onto a strip of polyethylene terephthalate (PET) with a patterned transparent conducting electrode (TCE). Multiple sensors embedded in the MicroFactory collected data from 36 manufacturing features, including deposition parameters, temperatures, and environmental conditions. Characterization: Each device was characterized in-line under standard 1 sun conditions (AM 1.5G), measuring key performance metrics such as short-circuit current density (Jsc), open-circuit voltage (Voc), fill factor (FF), and power conversion efficiency (PCE). Raw Data (Dataset 1): Contains 649,055 data points, including fabrication parameters, characterization results, and environmental conditions for each of the 11,800 devices. Cleaned Data (Dataset 2): Includes selected variables from Dataset 1 that were used for machine learning modeling, divided into training, validation, and testing sets.","url":"https://doi.org/10.17632/v5hp75hrtj.1","authors":["Ng, Leonard"],"tags":["Organic Solar Cells","Machine Learning","High Throughput Analysis","Digital Twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.17632/v5hp75hrtj.1","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/t52av-1yc31","name":"In-process identification of milling parameters based on digital twin driven intelligent algorithm","source":"datacite","abstract":"Abstract The potential benefits of Industry 4.0 have led to an increased interest in smart manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a digital twin driven intelligent algorithm for monitoring in-process milling parameters is proposed here. The algorithm can extract the radial width of cut, axial depth of cut, cutter runout parameters and cutting constants in the end milling process at the same time only by using force sensor. It is an important breakthrough in this paper to converge two different force models to realize cyber-physical fusion for identifying milling parameters in the milling process. By using the convolution force model, digital twin technology can extract the approximate solution of milling parameters in the machining process in advance, so as to narrow the range of solution. Furthermore, the subsequent artificial intelligence algorithm can find the accurate solution of the current milling parameters in a short calculation time by cyber-physical fusion with the numerical force model considering cutter runout effect. Milling experiments are carried out to validate the proposed algorithm. It is shown that due to the complementary advantages of the convolution force model and numerical force model, the algorithm proposed in this paper can give consideration to the identification accuracy and calculation efficiency.","url":"https://doi.org/10.60692/t52av-1yc31","authors":["C. M. Zheng","Lu Zhang","Yaw-Hong Kang","Yongzhong Zhan","Yongchao Xu"],"tags":["Advanced Monitoring of Machining Operations","Mechanical Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Electrical Discharge Machining Processes","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/t52av-1yc31","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/2k48n-ykd43","name":"In-process identification of milling parameters based on digital twin driven intelligent algorithm","source":"datacite","abstract":"Abstract The potential benefits of Industry 4.0 have led to an increased interest in smart manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a digital twin driven intelligent algorithm for monitoring in-process milling parameters is proposed here. The algorithm can extract the radial width of cut, axial depth of cut, cutter runout parameters and cutting constants in the end milling process at the same time only by using force sensor. It is an important breakthrough in this paper to converge two different force models to realize cyber-physical fusion for identifying milling parameters in the milling process. By using the convolution force model, digital twin technology can extract the approximate solution of milling parameters in the machining process in advance, so as to narrow the range of solution. Furthermore, the subsequent artificial intelligence algorithm can find the accurate solution of the current milling parameters in a short calculation time by cyber-physical fusion with the numerical force model considering cutter runout effect. Milling experiments are carried out to validate the proposed algorithm. It is shown that due to the complementary advantages of the convolution force model and numerical force model, the algorithm proposed in this paper can give consideration to the identification accuracy and calculation efficiency.","url":"https://doi.org/10.60692/2k48n-ykd43","authors":["C. M. Zheng","Lu Zhang","Yaw-Hong Kang","Yongzhong Zhan","Yongchao Xu"],"tags":["Advanced Monitoring of Machining Operations","Mechanical Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Electrical Discharge Machining Processes","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/2k48n-ykd43","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/c6x3s-mbc45","name":"Model Construction of Material Distribution System Based on Digital Twin","source":"datacite","abstract":"Abstract Aiming at the problems of poor periodicity of workshop material distribution, difficult prediction of station material demand time node and redundant distribution route, this paper proposes a model construction method of material distribution system based on digital twin. Build a material distribution control mode based on digital twin, and establish a full cycle material distribution mechanism on this basis to comprehensively optimize the distribution cycle from the material preparation stage, dynamic replenishment stage and data transmission stage of adjacent distribution cycles. Build the digital twin model of material distribution system, establish the material demand time node prediction operation mechanism based on LSTM, accurately predict the station material demand time node, establish the material distribution route optimization model with the lowest total cost, and optimize the AGV route. Finally, it is applied to the asynchronous card line workshop of A enterprise to verify the effectiveness of this method.","url":"https://doi.org/10.60692/c6x3s-mbc45","authors":["Yunrui Wang","Ziqiang Jiang","Yue Wu"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Design and Control of Warehouse Operations","Digital Twin","Dynamic Facility Layout","Material Handling Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/c6x3s-mbc45","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/fwghy-8dh31","name":"Model Construction of Material Distribution System Based on Digital Twin","source":"datacite","abstract":"Abstract Aiming at the problems of poor periodicity of workshop material distribution, difficult prediction of station material demand time node and redundant distribution route, this paper proposes a model construction method of material distribution system based on digital twin. Build a material distribution control mode based on digital twin, and establish a full cycle material distribution mechanism on this basis to comprehensively optimize the distribution cycle from the material preparation stage, dynamic replenishment stage and data transmission stage of adjacent distribution cycles. Build the digital twin model of material distribution system, establish the material demand time node prediction operation mechanism based on LSTM, accurately predict the station material demand time node, establish the material distribution route optimization model with the lowest total cost, and optimize the AGV route. Finally, it is applied to the asynchronous card line workshop of A enterprise to verify the effectiveness of this method.","url":"https://doi.org/10.60692/fwghy-8dh31","authors":["Yunrui Wang","Ziqiang Jiang","Yue Wu"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Design and Control of Warehouse Operations","Digital Twin","Dynamic Facility Layout","Material Handling Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.60692/fwghy-8dh31","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/2qvw5-3kc28","name":"A proposed integrated manufacturing system of a workshop producing brass accessories in the context of industry 4.0","source":"datacite","abstract":"Industry 4.0 is a basic step in the upgrade of manufacturing companies into digital enterprises. It allows more flexibility in manufacturing, as well as mass customization, provides better quality, and enhances productivity. As a result, it empowers companies to meet the challenges of smart manufacturing which is increasingly individualizing products with shorter time-to-market span and improving quality. Smart manufacturing has an important part in Industry 4.0. This study aims to characterize and analyze a smart manufacturing process designed for a company specialized in the production of brass accessories: spherical bushels. We basically set up a simulation tool to develop a numerical production platform for Industry 4.0 which is able to efficiently operate and manage the production and procurement through material requirement planning (MRP, master production program), logistics warehouse, and cyber-physical production system (CPPS). The findings have been optimized by a new redesigned approach of MRP 2: load-capacity adjustment for smart workshop and Industry 4.0 manufacturing planning. It is the setup of an integrated manufacturing system process, which resulted in reducing the spherical bushels' assembly time and controlling the production and the assembling process. It allowed us to increase the equipment utilization rate by comparing it with the company's former equipment running time prior to switching to smart manufacturing. The proposed model proves that we can successfully optimize the practical application of Industry 4.0 and therefore significantly increase the production efficiency. We are confident that this is the first work addressing the implementation of a simulation platform controlled by a dedicated cyber-physical production system (CPPS) and a master production program (MPP). A case study of a company manufacturing brass accessories is presented in this paper. The developed simulation platform offers the possibility to create a future digital twin of the company.","url":"https://doi.org/10.60692/2qvw5-3kc28","authors":["Ayoub Chakroun","Yasmina Hani","Abderrahmane Elmhamedi","Faouzi Masmoudi"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Additive Manufacturing and 3D Printing Technologies","Automotive Engineering","FOS: Mechanical engineering","Design and Operation of Reconfigurable Manufacturing Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/2qvw5-3kc28","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/3j81c-bcv55","name":"A proposed integrated manufacturing system of a workshop producing brass accessories in the context of industry 4.0","source":"datacite","abstract":"Industry 4.0 is a basic step in the upgrade of manufacturing companies into digital enterprises. It allows more flexibility in manufacturing, as well as mass customization, provides better quality, and enhances productivity. As a result, it empowers companies to meet the challenges of smart manufacturing which is increasingly individualizing products with shorter time-to-market span and improving quality. Smart manufacturing has an important part in Industry 4.0. This study aims to characterize and analyze a smart manufacturing process designed for a company specialized in the production of brass accessories: spherical bushels. We basically set up a simulation tool to develop a numerical production platform for Industry 4.0 which is able to efficiently operate and manage the production and procurement through material requirement planning (MRP, master production program), logistics warehouse, and cyber-physical production system (CPPS). The findings have been optimized by a new redesigned approach of MRP 2: load-capacity adjustment for smart workshop and Industry 4.0 manufacturing planning. It is the setup of an integrated manufacturing system process, which resulted in reducing the spherical bushels' assembly time and controlling the production and the assembling process. It allowed us to increase the equipment utilization rate by comparing it with the company's former equipment running time prior to switching to smart manufacturing. The proposed model proves that we can successfully optimize the practical application of Industry 4.0 and therefore significantly increase the production efficiency. We are confident that this is the first work addressing the implementation of a simulation platform controlled by a dedicated cyber-physical production system (CPPS) and a master production program (MPP). A case study of a company manufacturing brass accessories is presented in this paper. The developed simulation platform offers the possibility to create a future digital twin of the company.","url":"https://doi.org/10.60692/3j81c-bcv55","authors":["Ayoub Chakroun","Yasmina Hani","Abderrahmane Elmhamedi","Faouzi Masmoudi"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Additive Manufacturing and 3D Printing Technologies","Automotive Engineering","FOS: Mechanical engineering","Design and Operation of Reconfigurable Manufacturing Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.60692/3j81c-bcv55","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/acgs0-gm776","name":"AI and Digital Twin Transforms in the Construction of Precision Medical Model: Healthcare Management in Smart Cities","source":"datacite","abstract":"In recent years, the integration of artificial intelligence (AI) and digital twin (DT) is driving a new revolution in the healthcare field. Precision medical methods can utilize the complex computing techniques and models of AI, combined with various genetic and non-genetic data, to enable the system to reason and learn under the drive of data and algorithms, assisting clinical doctors and researchers in making more accurate related decisions. Research has shown that AI and DT has shown enormous technological application space in genomics, clinical cancer treatment, molecular imaging, and other fields, but it also faces potential challenges such as system bias, correlation limitations, algorithm black boxes, and unfairness. This requires the use of AI and DT transformations to build a precision medical intelligent system, which can update, capture, and study real-world data in real-time and simulate in DT. This study proposes that real-world data should be constructed from information system data and medical knowledge data from various hospitals, combined with the roles of real-world evidence (RWE), randomized clinical trial (RCT), genetic research, and AI technology in precision medicine, to innovatively design a precision medical smart system in the social 5.0 smart city. This work also proposes the structure and operating standards of the smart system, providing innovative ideas and contributions for the future construction of precision medical smart systems in society.","url":"https://doi.org/10.60692/acgs0-gm776","authors":["Akinsola Ahmed","Khadija Shoukat","Muhammad Muneeb","Doaa Abdo Othman All Qasem","Muhammad Adeel Shahzad","Laraib Ul Nissa","Rabia Amir","Muhammad Zubair","Muhammad Waqas Younas","Asad Ali"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Digital Twin","Health care","Computer science","Health management system"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/acgs0-gm776","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.60692/v2r9b-1d830","name":"AI and Digital Twin Transforms in the Construction of Precision Medical Model: Healthcare Management in Smart Cities","source":"datacite","abstract":"In recent years, the integration of artificial intelligence (AI) and digital twin (DT) is driving a new revolution in the healthcare field. Precision medical methods can utilize the complex computing techniques and models of AI, combined with various genetic and non-genetic data, to enable the system to reason and learn under the drive of data and algorithms, assisting clinical doctors and researchers in making more accurate related decisions. Research has shown that AI and DT has shown enormous technological application space in genomics, clinical cancer treatment, molecular imaging, and other fields, but it also faces potential challenges such as system bias, correlation limitations, algorithm black boxes, and unfairness. This requires the use of AI and DT transformations to build a precision medical intelligent system, which can update, capture, and study real-world data in real-time and simulate in DT. This study proposes that real-world data should be constructed from information system data and medical knowledge data from various hospitals, combined with the roles of real-world evidence (RWE), randomized clinical trial (RCT), genetic research, and AI technology in precision medicine, to innovatively design a precision medical smart system in the social 5.0 smart city. This work also proposes the structure and operating standards of the smart system, providing innovative ideas and contributions for the future construction of precision medical smart systems in society.","url":"https://doi.org/10.60692/v2r9b-1d830","authors":["Akinsola Ahmed","Khadija Shoukat","Muhammad Muneeb","Doaa Abdo Othman All Qasem","Muhammad Adeel Shahzad","Laraib Ul Nissa","Rabia Amir","Muhammad Zubair","Muhammad Waqas Younas","Asad Ali"],"tags":["Industry 4.0 and Digital Transformation in Manufacturing","Industrial and Manufacturing Engineering","Engineering","Physical Sciences","Digital Twin","Health care","Computer science","Health management system"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.60692/v2r9b-1d830","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18130/aqpn-pj20","name":"Evolutionary-based Coordination of Multi-Robot Systems with Dynamic Constraints; Examining the Socio-Economic and Societal Impact of Multi-Robot Systems for Infrastructure Monitoring and Maintenance","source":"datacite","abstract":"In the increasingly automated landscape of large-scale industrial operations, such as manufacturing facilities and power plants, the deployment of multi-robot systems presents a potent solution to enhance efficiency and safety. The paper \"Evolutionary-based Coordination of Multi-Robot Systems with Dynamic Constraints\" explores the development of a sophisticated framework for the automated coordination of unmanned ground vehicles (UGVs) tasked with infrastructure inspection and monitoring. At the heart of the research is the challenge of optimal task allocation and path planning among multiple robots, considered within the framework of the multiple Traveling Salesman Problem (mTSP). We introduce an innovative solution that leverages evolutionary algorithms to dynamically allocate tasks considering factors like priority, energy efficiency, and time constraints. This method not only optimizes the operational efficiency of robot teams but also significantly minimizes human intervention in hazardous environments. The methodology incorporates a digital twin of the environment, which acts as a pivotal tool for planning and simulation. By using A* and artificial potential field methods, the system achieves optimal path planning and navigation, ensuring that robots can navigate cluttered or complex environments effectively. This setup is complemented by a human-in-the-loop system that allows for adjustments based on real-time changes in the environment or task priority, enhancing the adaptability and responsiveness of the robotic system. The effectiveness of the proposed solution is demonstrated through simulations using the Gazebo/ROS framework for UGVs. These simulations validate the system's ability to handle realistic, dynamically changing industrial environments efficiently. The research introduces several key innovations: 1. Advanced Task Assignment: By integrating priority, energy, and time considerations, the system efficiently manages the coordination among multiple robotic agents, ensuring that tasks are performed optimally with minimal overlap or redundancy. 2. Use of Digital Twin Technology: The digital twin serves as a critical component for real-time operational planning, allowing robots to adapt to new information and navigate around potential obstacles. 3. Human-in-the-Loop Prioritization: This feature introduces a layer of human oversight that enhances the system’s flexibility, making it robust against unexpected changes in the operational field. The paper also discusses the implications of these technologies for the future of robotic systems in industrial settings. We suggest that future work could explore the inclusion of more diverse constraints, such as varying capabilities among robots and the integration of human tasks alongside robotic operations. Additionally, real-world applications and further scalability of the system are identified as essential steps toward the practical deployment of these technologies. This work not only advances the theoretical understanding of multi-robot coordination but also provides a practical framework that can be directly applied to enhance the efficiency and safety of industrial operations. The combination of evolutionary algorithms, digital twin technology, and human-in-the-loop prioritization represents a significant step forward in the field of robotics, offering a scalable solution to complex operational challenges in large-scale industrial settings.","url":"https://doi.org/10.18130/aqpn-pj20","authors":["Jose Vallarino"],"tags":["Multi-Robot Systems"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.18130/aqpn-pj20","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.24211744.v1","name":"Digital twin-enabled process control in the food industry: proposal of a framework based on two case studies","source":"datacite","abstract":"Nowadays many processes in the food industry are monitored in an automatic way, with the purpose of minimising the need for workforce and of ensuring the proper control of the quality and safety of the foodstuff. All the sensors share data with a centralised management unit, where often a Manufacturing Execution System collects and evaluates them. As reported in recent research, however, a further step that can be undertaken, exploiting Industry 4.0 enabling technologies, is the implementation of digital twin approaches, with the additional aim to prevent possible issues during production. In line with these considerations, this work aims at showing two different digital twin models intended for improving the control of as many real food systems. Liquid and powder fluids are taken as examples for highlighting the differences in the optimization of the two food processes, as well as for fully exploring the potential of the digital twin approach. Finally, based on the real data taken from two pilot plants, a framework for the selection of the best digital twin tool in the food sector is delineated.","url":"https://doi.org/10.6084/m9.figshare.24211744.v1","authors":["Tancredi, Giovanni Paolo Carlo","Bottani, Eleonora","Vignali, Giuseppe"],"tags":["Space Science","Sociology","FOS: Sociology","Biological Sciences not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24211744.v1","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.24211744","name":"Digital twin-enabled process control in the food industry: proposal of a framework based on two case studies","source":"datacite","abstract":"Nowadays many processes in the food industry are monitored in an automatic way, with the purpose of minimising the need for workforce and of ensuring the proper control of the quality and safety of the foodstuff. All the sensors share data with a centralised management unit, where often a Manufacturing Execution System collects and evaluates them. As reported in recent research, however, a further step that can be undertaken, exploiting Industry 4.0 enabling technologies, is the implementation of digital twin approaches, with the additional aim to prevent possible issues during production. In line with these considerations, this work aims at showing two different digital twin models intended for improving the control of as many real food systems. Liquid and powder fluids are taken as examples for highlighting the differences in the optimization of the two food processes, as well as for fully exploring the potential of the digital twin approach. Finally, based on the real data taken from two pilot plants, a framework for the selection of the best digital twin tool in the food sector is delineated.","url":"https://doi.org/10.6084/m9.figshare.24211744","authors":["Tancredi, Giovanni Paolo Carlo","Bottani, Eleonora","Vignali, Giuseppe"],"tags":["Space Science","Sociology","FOS: Sociology","Biological Sciences not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24211744","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.34726/hss.2024.78360","name":"From Digital Model to Digital Predictive Twin: Development of a digital framework for the creation of virtual representations in the process development of energy technologies","source":"datacite","abstract":"Die Klimakrise und der damit verbundene Bedarf an der Entwicklung und Optimierung klimafreundlicher und effizienter Energietechnologien erfordert die Digitalisierung des Energiesektors. Die Digitalisierung kann dazu beitragen, die Energiewende zu beschleunigen, indem sie ein intelligent vernetztes Energiesystem zwischen Energiebereitsteller, -verteiler und -verbraucher bildet. Um eine nachhaltige Digitalisierung im Energiesektor zu gewährleisten, ist es notwendig, bereits bei der Prozessentwicklung anzusetzen. Folglich muss neben der physischen Anlage auch ein digitales Abbild der physischen Anlage, die so genannte virtuelle Repräsentation, mitentwickelt werden. Für die Entwicklung von virtuellen Repräsentationen wird ein standardisiertes Framework benötigt, welche die Anforderungen an virtuelle Repräsentationen entlang der Prozessentwicklung von Energietechnologien definiert. In der Literatur sind verschiedene Frameworks mit unterschiedlichen Branchenschwerpunkten verfügbar. Es existiert jedoch kein Framework mit Fokus auf die Entwicklung von Energietechnologien. Folglich wurde in dieser Dissertation ein Framework für die Entwicklung virtueller Repräsentationen mit dem Fokus auf die Entwicklung von Energietechnologien erarbeitet. Das neuartige Framework ermöglicht neben der kontinuierlichen Entwicklung der physischen Anlage auch die Mitentwicklung der virtuellen Repräsentation. Zudem werden in jeder Dimension der virtuellen Repräsentation austauschbare Modellierungsblöcke und Eigenschaften definiert, die entlang des Lebenszyklus der Prozessentwicklung entwickelt werden sollten, um eine möglichst breite Anwendung zu ermöglichen. Demzufolge werden die Prozessentwicklungsphasen von der Konzept- bis zur kommerziellen Phase von den virtuellen Repräsentationstypen „Digital Model“ bis „Digital Predictive Twin“ begleitet. Um die Anwendbarkeit des neuartigen Frameworks zu testen, wurden vier Anwendungen von „Digital Model“ bis „Digital Predictive Twin“ in unterschiedlichen Prozessentwicklungsphasen erarbeitet. Erstens wurde ein „Digital Model“ einer Power-to-Liquid-Anlage für die Erzeugung von synthetischem Treibstoff erarbeitet. Kernstück ist ein stationäres Simulationsmodell mit Offline-Datenkommunikation für die Findung eines geeigneten Anlagenkonzeptes für eine zu errichtende Pilotanlage mit einer Nennleistung von 1 MWel. Zweitens wurde ein „Digital Shadow“ einer OxySER-Anlage zur Reduktionsgaserzeugung für die Stahlindustrie entwickelt. Kernstück ist ein quasistatisches Simulationsmodell im Ad-hoc Modus mit unidirektionaler Datenkommunikation für die Überwachung der 100 kWth Pilotanlage an der TU Wien. Drittens wurde ein „Digital Twin“ eines Biomass-to-Gas-Prozesses für die Erzeugung von synthetischem Erdgas erarbeitet. Kernstück ist neben dem quasistatischen Simulationsmodell ein modellprädiktiver Regler mit bidirektionaler Echtzeit-Datenkommunikation zur Realisierung der Automatisierung der 100 kWth Pilotanlage an der TU Wien. Zuletzt wurde ein „Digital Predictive Twin“ Konzept einer großtechnischen Sondermüllverbrennungsanlage entwickelt. Kernstück ist ein prädiktives Simulationsmodell mit bidirektionaler Echtzeit-Datenkommunikation zur Bestimmung von nicht analysierten Abfallströmen durch die Analyse historischer Daten, um in weiterer Folge eine umfassende Prozessoptimierung zu ermöglichen. Darüber hinaus können die entwickelten virtuellen Repräsentationen während der Prozessentwicklung genutzt werden, um Szenarien der Energiesystemintegration entweder aus der Perspektive der entwickelten Energietechnologie oder aus der Perspektive eines Sektors oder einer Region zu untersuchen. Aus diesem Grund wurden die virtuellen Repräsentationen eines Biomass-to-Liquid und Biomass-to-Gas Prozesses verwendet, um geeignete Szenarien für die Integration in das österreichische Energiesystem zu finden. Darüber hinaus wurde das neuartige Tool ENECO2Calc entwickelt, um mögliche Defossilisierungsszenarien für beliebige Gemeinden in Österreich zu","url":"https://doi.org/10.34726/hss.2024.78360","authors":["Hammerschmid, Martin"],"tags":["Virtuelle Repräsentationen","Digitale Zwillinge","Digitalisierung","Prozessentwicklung","Energietechnologien","Prozesssimulation","Technoökonomische Analyse","Ökologische Analyse"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.34726/hss.2024.78360","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2404.00783","name":"Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0","source":"datacite","abstract":"As a digital environment of interconnected virtual ecosystems driven by measured and synthesized data, the Metaverse has so far been mostly considered from its gaming perspective that closely aligns with online edutainment. Although it is still in its infancy and more research as well as standardization efforts remain to be done, the Metaverse could provide considerable advantages for smart robotized applications in the industry.Workflow efficiency, collective decision enrichment even for executives, as well as a natural, resilient, and sustainable robotized assistance for the workforce are potential advantages. Hence, the Metaverse could consolidate the connection between Industry 4.0 and Industry 5.0. This paper identifies and puts forward potential advantages of the Metaverse for robotized applications and highlights how these advantages support goals pursued by the Industry 4.0 and Industry 5.0 visions. Keywords: Robotics, Metaverse, Digital Twin, VR/AR, AI/ML, Foundation Model;","url":"https://doi.org/10.48550/arxiv.2404.00783","authors":["Kaigom, Eric Guiffo"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.00783","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.14279/tuj.eceasst.81.1194","name":"The Qualitative background of why a DSL knowledge based platform is needed in the context of Sustainability","source":"datacite","abstract":"With reference to Smart Manufacturing and Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems. While the tangible goods (products and production lines) are understood as needing a Digital Twin as an executable model, i.e. an in-silico entity on which to virtually explore design, production, quality, and lifetime maintenance, the immaterial goods like software and analytics artefacts are not yet treated on par. For the new Digital Thread paradigm to enter the mainstream, models need to be coupled with AI, ML and Data Analytics capabilities, to provide an integrated platform for automatic transformations, generations, and analyses that take advantage of the formalized knowledge about the immaterial and material entities. The formalized knowledge needs to include a variety of models together with Domain Specific Languages that use semantic types at their core. The objective of this overall work is to develop a service-oriented Domain Specific Language (DSL) platform for knowledge management (KM-DSL) especially concerning sustainability and risk management, and then apply it in the context of the Digital Thread platform and demonstrators currently under development in the research group. The KM-DSL is the basis for the design of the smart and aligned processes and workflows that will describe and characterize the collaboration of humans and machines in the future advanced production environments. This paper will examine two strands of that work looking at business logic and understanding along with knowledge harvesting that concentrate on two case studies that will underpin future research to create the aforementioned DSL platform for knowledge management.","url":"https://doi.org/10.14279/tuj.eceasst.81.1194","authors":["Ryan, Stephen"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.14279/tuj.eceasst.81.1194","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000129543","name":"Enhancement of High-Resolution 3D Inkjet-rinting of Optical Freeform Surfaces Using Digital Twins","source":"datacite","abstract":"3D-inkjet-printing is just beginning to take off in the optical field. Advantages of this technique include its fast and cost-efficient fabrication without tooling costs. However, there are still obstacles preventing 3D inkjet-printing from a broad usage in optics, e.g., insufficient form fidelity. In this article, we present the formulation of a digital twin by the enhancement of an optical model by integrating geometrical measurement data. This approach strengthens the high-precision 3D printing process to fulfil optical precision requirements. A process flow between the design of freeform components, fabrication by inkjet printing, the geometrical measurement of the fabricated optical surface, and the feedback of the measurement data into the simulation model was developed, and its interfaces were defined. The evaluation of the measurements allowed for the adaptation of the printing process to compensate for process errors and tolerances. Furthermore, the performance of the manufactured component was simulated and compared with the nominal performance, and the enhanced model could be used for sensitivity analysis. The method was applied to a highly complex helical surface that allowed for the adjustment of the optical power by rotation. We show that sensitivity analysis could be used to define acceptable tolerance budgets of the process.","url":"https://doi.org/10.5445/ir/1000129543","authors":["Sieber, Ingo","Thelen, Richard","Gengenbach, Ulrich"],"tags":["digital twin","modeling","simulation","additive manufacturing","3D inkjet-printing","freeform optics","varifocal optics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5445/ir/1000129543","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10895704","name":"The Impact of IT/OT Convergence on Digital Transformation in Manufacturing","source":"datacite","abstract":"Historically, information technology (IT) and operational technology (OT) teams in manufacturing worked in siloes. While recent digital transformations have brought them closer together through IT/OT convergence, many companies still hesitate to fully integrate their networks, data, and processes. This research examines how effectively uniting IT and OT is fundamentally crucial for smart manufacturing initiatives. The paper first provides background on the separate worlds of IT and OT. It details their misaligned incentives and lack of collaboration that previously impeded digital progress. The paper then explains how developments in fog computing, wireless networks, cybersecurity, and the industrial Internet of Things (IIoT) make integration not just desirable but necessary for competitiveness. A core thesis emerges—that smart factories require fully aligned IT and OT functions to achieve real-time decision making, predictive maintenance, connected technologies, and robust data security. Various case studies reveal the potential, including MT Connect, for improved equipment effectiveness zero-downtime robots that leverage predictive maintenance. Trade publications and expert interviews underscore how once-impractical wireless networks are now optimized for connecting machines and mobile devices on the shop floor. The paper emphasizes the expertise that IT staff contribute on network security and data analytics. Meanwhile, OT personnel provide critical operational knowledge. Their joined forces can implement modern cyber protections suitable for connected equipment and sensitive information flows. Quantitative secondary data affirms the twin goals of digital optimization and risk mitigation rely equally on input from IT and OT. Combined capabilities drive the unprecedented business outcomes that define factory 4.0. As evidence continues to show outdated divisions between the two functions hinder progress, the paper makes an assertive case for integration. It concludes that manufacturing executives underserving either IT or OT squander resources and leave open threats. With clear economic and reputational incentives to transform digitally, manufacturers must empower robust collaboration. The alternative of maintaining outdated divides poses an existential danger. By fully unleashing specialized IT and OT skill sets in tandem, manufacturers can own their digital futures.","url":"https://doi.org/10.5281/zenodo.10895704","authors":["Dr.A.Shaji George"],"tags":["IT/OT convergence, Smart manufacturing, Industry 4.0, Operational technology, Information technology, Process automation, Industrial IoT, Edge computing, Cybersecurity, Digital transformation."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10895704","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10895703","name":"The Impact of IT/OT Convergence on Digital Transformation in Manufacturing","source":"datacite","abstract":"Historically, information technology (IT) and operational technology (OT) teams in manufacturing worked in siloes. While recent digital transformations have brought them closer together through IT/OT convergence, many companies still hesitate to fully integrate their networks, data, and processes. This research examines how effectively uniting IT and OT is fundamentally crucial for smart manufacturing initiatives. The paper first provides background on the separate worlds of IT and OT. It details their misaligned incentives and lack of collaboration that previously impeded digital progress. The paper then explains how developments in fog computing, wireless networks, cybersecurity, and the industrial Internet of Things (IIoT) make integration not just desirable but necessary for competitiveness. A core thesis emerges—that smart factories require fully aligned IT and OT functions to achieve real-time decision making, predictive maintenance, connected technologies, and robust data security. Various case studies reveal the potential, including MT Connect, for improved equipment effectiveness zero-downtime robots that leverage predictive maintenance. Trade publications and expert interviews underscore how once-impractical wireless networks are now optimized for connecting machines and mobile devices on the shop floor. The paper emphasizes the expertise that IT staff contribute on network security and data analytics. Meanwhile, OT personnel provide critical operational knowledge. Their joined forces can implement modern cyber protections suitable for connected equipment and sensitive information flows. Quantitative secondary data affirms the twin goals of digital optimization and risk mitigation rely equally on input from IT and OT. Combined capabilities drive the unprecedented business outcomes that define factory 4.0. As evidence continues to show outdated divisions between the two functions hinder progress, the paper makes an assertive case for integration. It concludes that manufacturing executives underserving either IT or OT squander resources and leave open threats. With clear economic and reputational incentives to transform digitally, manufacturers must empower robust collaboration. The alternative of maintaining outdated divides poses an existential danger. By fully unleashing specialized IT and OT skill sets in tandem, manufacturers can own their digital futures.","url":"https://doi.org/10.5281/zenodo.10895703","authors":["Dr.A.Shaji George"],"tags":["IT/OT convergence, Smart manufacturing, Industry 4.0, Operational technology, Information technology, Process automation, Industrial IoT, Edge computing, Cybersecurity, Digital transformation."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10895703","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.23728/b2share.bb7fb6676ed14d97a097c67426f241ae","name":"Modeling and Application of Cross-scale Human Behavior towards Digital Twin","source":"datacite","abstract":"As an important enabling way to upgrade shop-floor digitally and intelligently, the digital twin shop-floor has been paid much attention to the manufacturing. The digital twin models of manufacturing resources were gradually moving from theoretical research to application. However, as a key part of shop-floor, human’s high autonomy and uncertainty led to the difficulty in digital twin modeling for human behavior. Therefore, we collected and proposed the theoretical system for cross-scale human behavior modeling in digital twin shop-floor, powered by the data fusion of macro-behavior and micro-behavior virtual models. Through the closed-loop interaction with physical behavior, can realize monitoring, forecasting and real-time mapping of production activities. Based on this modeling approach, the cross-scale behavior control system was developed and applied in detail in aerospace products assembly shop-floor, and got a good performance.","url":"https://doi.org/10.23728/b2share.bb7fb6676ed14d97a097c67426f241ae","authors":["Hong, Qing"],"tags":["4.4.6.3 → Systems engineering → Systems analysis","Digital twin shop-floor; Human behavior; Cross-scale; Macro-behavior; Micro-behavior; Theoretical system; Model application"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.23728/b2share.bb7fb6676ed14d97a097c67426f241ae","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.23728/b2share.b4d8b9a4874a4f5f900e3f325713fd25","name":"Modeling and Application of Cross-scale Human Behavior towards Digital Twin","source":"datacite","abstract":"As an important enabling way to upgrade shop-floor digitally and intelligently, the digital twin shop-floor has been paid much attention to the manufacturing. The digital twin models of manufacturing resources were gradually moving from theoretical research to application. However, as a key part of shop-floor, human’s high autonomy and uncertainty led to the difficulty in digital twin modeling for human behavior. Therefore, we collected and proposed the theoretical system for cross-scale human behavior modeling in digital twin shop-floor, powered by the data fusion of macro-behavior and micro-behavior virtual models. Through the closed-loop interaction with physical behavior, can realize monitoring, forecasting and real-time mapping of production activities. Based on this modeling approach, the cross-scale behavior control system was developed and applied in detail in aerospace products assembly shop-floor, and got a good performance.","url":"https://doi.org/10.23728/b2share.b4d8b9a4874a4f5f900e3f325713fd25","authors":["[Unknown]"],"tags":["Digital twin shop-floor; Human behavior; Cross-scale; Macro-behavior; Micro-behavior; Theoretical system; Model application"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.23728/b2share.b4d8b9a4874a4f5f900e3f325713fd25","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.23728/b2share.67178bcb165e4bdc81ee2c59366e7be1","name":"Modeling and Application of Cross-scale Human Behavior towards Digital Twin","source":"datacite","abstract":"As an important enabling way to upgrade shop-floor digitally and intelligently, the digital twin shop-floor has been paid much attention to the manufacturing. The digital twin models of manufacturing resources were gradually moving from theoretical research to application. However, as a key part of shop-floor, human’s high autonomy and uncertainty led to the difficulty in digital twin modeling for human behavior. Therefore, we collected and proposed the theoretical system for cross-scale human behavior modeling in digital twin shop-floor, powered by the data fusion of macro-behavior and micro-behavior virtual models. Through the closed-loop interaction with physical behavior, can realize monitoring, forecasting and real-time mapping of production activities. Based on this modeling approach, the cross-scale behavior control system was developed and applied in detail in aerospace products assembly shop-floor, and got a good performance.","url":"https://doi.org/10.23728/b2share.67178bcb165e4bdc81ee2c59366e7be1","authors":["Hong, Qing"],"tags":["4.4.6.3 → Systems engineering → Systems analysis","Digital twin shop-floor; Human behavior; Cross-scale; Macro-behavior; Micro-behavior; Theoretical system; Model application"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.23728/b2share.67178bcb165e4bdc81ee2c59366e7be1","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.26153/tsw/50994","name":"OPTIMIZATION OF COMPUTATIONAL TIME FOR DIGITAL TWIN DATABASE IN DIRECTED ENERGY DEPOSITION FOR RESIDUAL STRESSES","source":"datacite","abstract":"Metal Additive Manufacturing (MAM) has experienced rapid growth and demonstrated its cost-effectiveness in the production of high-quality products. However, MAM processes introduce significant thermal gradients that result in the formation of residual stresses and distortions in the final parts. Finite Element Analysis (FEA) is a valuable tool for predicting residual stresses, but it requires substantial computational power. This study aims to reduce computational time by incorporating a thermo-mechanical model specifically designed for the Directed Energy Deposition (DED) process using Ti6Al4V. This model predicts the thermal history and subsequent residual stresses in the deposited material. Various FEA methods, including “chunk”, layer, and conventional methods are examined, providing a comparative analysis of computational cost and numerical accuracy. These findings contribute towards the realization of a digital twin database, where the incorporation of efficient and accurate FEA models can optimize part quality and strength while reducing computational time.","url":"https://doi.org/10.26153/tsw/50994","authors":["Tariq, Usman","Joy, Ranjit","Wu, Sung-Heng","Arif Mahmood, Muhammad","Woodworth, Michael M.","Liou, Frank"],"tags":["metal additive manufacturing","finite element analysis","computational time","directed energy deposition","residual stress"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.26153/tsw/50994","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.3929/ethz-b-000523941","name":"Robust Robotic Aggregation of Irregularly Shaped Objects","source":"datacite","abstract":"Robotic technology has entered many new fields and applications in the last years and decades, from automated manufacturing, over warehouse logistics, to inspec- tion of industrial sites. While automation and robotics are pushing more and more from industrial to everyday applications, one sector has fallen behind in adapting to those new technologies, the construction sector. Although there is a labor short- age in construction, it still has one of the most considerable unused potentials for automation. Exploiting on-site robotics is not only a great opportunity to resolve the high demand for labor and to increase productivity, but it also has the potential to enable architectural designs that exceed the size and complexity practical with conventional methods. It also offers the opportunity to leverage context-specific, locally sourced materials that are inexpensive, abundant, and low in embodied en- ergy. However, it is still unclear what exact technologies are required and how such robot solutions would potentially look like at this stage. This thesis addresses the development of manipulation skills for a mobile ma- nipulator to detect and assemble arbitrary solid material in a cluttered and unstruc- tured environment like a construction site. The focus lies on the perception of the environment, modeling object instances, and grasping and assembling objects. We are especially interested in manipulating raw material, like stones and boulders, in the context of robotic landscaping, as it targets applications in dangerous-to-access or remote locations undesired for human operators. In this work, we investigate the task of executing autonomous missions in unseen environments at different scales and from stationary to mobile applications. Be- sides localization, obstacle detection, and navigation methods for the mobile base, we introduce a compliant manipulator to perform interaction tasks. The compli- ance gives impact robustness and the capability of controlling contact wrenches ac- curately but comes with limited actuator bandwidth causing tracking performance loss. We address this problem by including the actuator dynamics in a receding horizon control formulation improving tracking and disturbance rejection and show that the natural stiffness of the manipulator can be preserved. The ultimate target of this work is the construction of large-scale structures in real-world outdoor scenarios, outside of well-defined laboratory settings, compli- cating the handling of previously unseen irregularly shaped objects. We contribute by presenting a perception and grasp pose planning pipeline for autonomous ma- nipulation of objects of interest with a robotic walking excavator. A mapping sys- tem incrementally builds a temporally and spatially consistent LiDAR-based map of the robot’s surroundings. It provides the ability to register externally recon- structed point clouds of the scene, e.g., from images captured by a drone-borne camera, helping to increase map coverage. Our grasp planning method utilizes point clouds and mesh surface reconstruction of stones to plan grasp configura- tions with a 2-jaw gripper mounted on the excavator. Besides taking into account the geometry of the stone to sample force closure grasps, the grasp planner consid- ers collision constraints during object pick and place, informed by the LiDAR-based point cloud map. Furthermore, we show an approach to reorient arbitrarily shaped objects that cannot be directly placed at the desired location without violating col- lision constraints. Finally, the presented manipulation methods are combined with geometric target pose planning to compute structurally stable object compositions following a target design. We create a novel process that takes the digitized object model in a physics simulation to find settled placement poses and assess stability, alternately with a 3D shape matching to the target geometry. The locations of the placed objects are refined and updated","url":"https://doi.org/10.3929/ethz-b-000523941","authors":["Wermelinger, Martin"],"tags":["Manipulation","ROBOT CONTROL","Grasping and Manipulation","Digital fabrication (dfab)","Perception and autonomy","info:eu-repo/classification/ddc/600","info:eu-repo/classification/ddc/620","Technology (applied sciences)"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.3929/ethz-b-000523941","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.26174/thesis.lboro.25201166.v1","name":"Exploration of Blender to design a digital twin of multi camera metrology systems","source":"datacite","abstract":"After three industrial revolutions that transformed the agricultural and craft economy into one dominated by industry and machine manufacturing, a fourth industrial revolution has recently begun, plunging the world into an era of digitisation where new technologies such as the digital twin, the digital model, human-robot collaboration or the internet of things are being explored to create new models for agile factories that are reconfigurable, resilient, fast and knowledgeable. In this new philosophy, called Industry 4.0, new needs in terms of worker safety, work supervision and quality control of goods have been developed, as well as new issues related to humans, economy, and technology development. Regarding these new paradigms, solutions based on multi-camera optical systems have been developed. However, current physical available solutions are not necessarily optimised, cameras are installed according to geometry specificities such as being collinear, or through learning trial-and-error processes. Due to the recurrent nature of the optimisation problem, the development of virtual technologies generating new possibilities for virtualising the physical assets of the production chain, digital models or even potentially twins are being considered to solve this problem. This research investigates the development of a digital model/twin of single and multi-camera optical systems to measure shapes and objects in an industrial environment. A literature survey was conducted to identify the solutions already developed, identifying their drawbacks to design an innovative system. Through this survey it was identified that the current modelling solutions are either mimicking the real-world in a simple way, or are designing the camera from its whole body to its radiometric map, which is time consuming, and maybe not lead to an accurate model. An alternative at these designs was found in the 3D animation software, which use 3D virtual camera in its rendering process. Various pieces of 3D animation software exist, but Blender was chosen because it is open source, free, and offer divers tool such as ray-tracing and Python script. The research presented maps the development of a digital model/twin of single and multi-camera optical systems in Blender through four steps: investigation whether Blender can be used as a digital base; designing a photorealistic digital model of the real-world; assessing the robustness of the model designed; and identification of positive and negative aspects of the modelling. All experiments were completed in the real and virtual worlds to allow understanding and comparison of results. The main conclusions of this research were the development of a digital representation of the real multi-camera network set up in Blender; the use of photorealism concepts; and the development of calibration routines for camera-based metrology systems modelled in Blender.","url":"https://doi.org/10.26174/thesis.lboro.25201166.v1","authors":["Pottier, Claire"],"tags":["Mechanical engineering not elsewhere classified","Electrical engineering not elsewhere classified","Manufacturing engineering not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.26174/thesis.lboro.25201166.v1","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.26174/thesis.lboro.25201166","name":"Exploration of Blender to design a digital twin of multi camera metrology systems","source":"datacite","abstract":"After three industrial revolutions that transformed the agricultural and craft economy into one dominated by industry and machine manufacturing, a fourth industrial revolution has recently begun, plunging the world into an era of digitisation where new technologies such as the digital twin, the digital model, human-robot collaboration or the internet of things are being explored to create new models for agile factories that are reconfigurable, resilient, fast and knowledgeable. In this new philosophy, called Industry 4.0, new needs in terms of worker safety, work supervision and quality control of goods have been developed, as well as new issues related to humans, economy, and technology development. Regarding these new paradigms, solutions based on multi-camera optical systems have been developed. However, current physical available solutions are not necessarily optimised, cameras are installed according to geometry specificities such as being collinear, or through learning trial-and-error processes. Due to the recurrent nature of the optimisation problem, the development of virtual technologies generating new possibilities for virtualising the physical assets of the production chain, digital models or even potentially twins are being considered to solve this problem. This research investigates the development of a digital model/twin of single and multi-camera optical systems to measure shapes and objects in an industrial environment. A literature survey was conducted to identify the solutions already developed, identifying their drawbacks to design an innovative system. Through this survey it was identified that the current modelling solutions are either mimicking the real-world in a simple way, or are designing the camera from its whole body to its radiometric map, which is time consuming, and maybe not lead to an accurate model. An alternative at these designs was found in the 3D animation software, which use 3D virtual camera in its rendering process. Various pieces of 3D animation software exist, but Blender was chosen because it is open source, free, and offer divers tool such as ray-tracing and Python script. The research presented maps the development of a digital model/twin of single and multi-camera optical systems in Blender through four steps: investigation whether Blender can be used as a digital base; designing a photorealistic digital model of the real-world; assessing the robustness of the model designed; and identification of positive and negative aspects of the modelling. All experiments were completed in the real and virtual worlds to allow understanding and comparison of results. The main conclusions of this research were the development of a digital representation of the real multi-camera network set up in Blender; the use of photorealism concepts; and the development of calibration routines for camera-based metrology systems modelled in Blender.","url":"https://doi.org/10.26174/thesis.lboro.25201166","authors":["Pottier, Claire"],"tags":["Mechanical engineering not elsewhere classified","Electrical engineering not elsewhere classified","Manufacturing engineering not elsewhere classified"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.26174/thesis.lboro.25201166","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10868589","name":"knowlEdge Digital Twin Framework","source":"datacite","abstract":"The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physical assets. knowlEdge Digital Twin Framework providing a robust solution that follows the reference of ISO 23247-1:2021 and ISO/IEC 30173:2023. The implementation is an open-source reference architecture composed of a set of microservices deployable in a range of architectures that help manufacturing companies to process optimisation and decision-making.","url":"https://doi.org/10.5281/zenodo.10868589","authors":["Anaya, Victor"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10868589","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10868588","name":"knowlEdge Digital Twin Framework","source":"datacite","abstract":"The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physical assets. knowlEdge Digital Twin Framework providing a robust solution that follows the reference of ISO 23247-1:2021 and ISO/IEC 30173:2023. The implementation is an open-source reference architecture composed of a set of microservices deployable in a range of architectures that help manufacturing companies to process optimisation and decision-making.","url":"https://doi.org/10.5281/zenodo.10868588","authors":["Anaya, Victor"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10868588","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10868526","name":"knowlEdge Digital Twin Framework","source":"datacite","abstract":"The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physical assets. knowlEdge Digital Twin Framework providing a robust solution that follows the reference of ISO 23247-1:2021 and ISO/IEC 30173:2023. The implementation is an open-source reference architecture composed of a set of microservices deployable in a range of architectures that help manufacturing companies to process optimisation and decision-making.","url":"https://doi.org/10.5281/zenodo.10868526","authors":["Anaya, Victor"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10868526","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10868525","name":"knowlEdge Digital Twin Framework","source":"datacite","abstract":"The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physical assets. knowlEdge Digital Twin Framework providing a robust solution that follows the reference of ISO 23247-1:2021 and ISO/IEC 30173:2023. The implementation is an open-source reference architecture composed of a set of microservices deployable in a range of architectures that help manufacturing companies to process optimisation and decision-making.","url":"https://doi.org/10.5281/zenodo.10868525","authors":["Anaya, Victor"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10868525","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2311.05748","name":"Enabling Automated Integration Testing of Smart Farming Applications via Digital Twin Prototypes","source":"datacite","abstract":"Industry 4.0 represents a major technological shift that has the potential to transform the manufacturing industry, making it more efficient, productive, and sustainable. Smart farming is a concept that involves the use of advanced technologies to improve the efficiency and sustainability of agricultural practices. Industry 4.0 and smart farming are closely related, as many of the technologies used in smart farming are also used in Industry 4.0. Digital twins have the potential for cost-effective software development of such applications. With our Digital Twin Prototype approach, all sensor interfaces are integrated into the development process, and their inputs and outputs of the emulated hardware match those of the real hardware. The emulators respond to the same commands and return identically formatted data packages as their real counterparts, making the Digital Twin Prototype a valid source of a digital shadow, i.e. the Digital Twin Prototype is a prototype of the physical twin and can replace it for automated testing of the digital twin software. In this paper, we present a case study for employing our Digital Twin Prototype approach to automated testing of software for improving the making of silage with a smart farming application. Besides automated testing with continuous integration, we also discuss continuous deployment of modular Docker containers in this context.","url":"https://doi.org/10.48550/arxiv.2311.05748","authors":["Barbie, Alexander","Hasselbring, Wilhelm","Hansen, Malte"],"tags":["Software Engineering (cs.SE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.05748","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000169126","name":"Concept for Individual and Lifetime-Adaptive Modeling of the Dynamic Behavior of Machine Tools","source":"datacite","abstract":"The increasing demand for personalized products and the lack of skilled workers, intensified by demographic change, are major challenges for the manufacturing industry in Europe. An important framework for addressing these issues is a digital twin that represents the dynamic behavior of machine tools to support the remaining skilled workers and optimize processes in virtual space. Existing methods for modeling the dynamic behavior of machine tools rely on the use of expert knowledge and require a significant amount of manual effort. In this paper, a concept is proposed for individualized and lifetime-adaptive modeling of the dynamic behavior of machine tools with the focus on the machine’s tool center point. Therefore, existing and proven algorithms are combined and applied to this use case. Additionally, it eliminates the need for detailed information about the machine’s kinematic structure and utilizes automated data collection, which reduces the dependence on expert knowledge. In preliminary tests, the algorithm for the initial model setup shows a fit of 99.88% on simulation data. The introduced re-fit approach for online parameter actualization is promising, as in preliminary tests, an accuracy of 95.23% could be reached.","url":"https://doi.org/10.5445/ir/1000169126","authors":["Oexle, Florian","Heimberger, Fabian","Puchta, Alexander","Fleischer, Jürgen"],"tags":["machine tool","digital twin","dynamics","simulation","lifecycle"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5445/ir/1000169126","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.13016/sefk-19rz","name":"Design and Optimization of 5G and Beyond Hybrid Communication Systems","source":"datacite","abstract":"5G and beyond communication systems are envisaged to fulfill three key promises that enable novel use cases and applications such as telemedicine, augmented reality/virtual reality (AR/VR), smart manufacturing, autonomous vehicles (AVs), etc. These three key promises are i) Enhanced mobile broadband (eMBB), ii) Ultra-reliable low latency Communications (URLLC), and iii) Massive machine-type communications (mMTC). In other words, 5G is required to achieve key performance indicators (KPIs) in terms of low latency, massive device connectivity, consistent quality of service (QoS), and high security. For instance, user bit-rates up to 10 Gbps and round-trip times (RTTs) as small as 1–10 ms are demanded in specific application scenarios in 5G. Toward achieving the 5G key promises, it is essential to utilize the capacity of all sorts of communications networks (terrestrial, space, aerial) and supporting technologies (SDN, NFV, etc.) simultaneously, leading to the so-called hybrid communication networks as opposed to the traditional stand-alone ones. This signifies the importance of a seamless integration and configuration policy tailored to specific use cases and QoS requirements of 5G and beyond services and will spawn several challenging design and optimization problems from the control and management to the physical layer of next-generation systems. In this thesis, we will address such critical problems in the course of 9 chapters. In the second chapter, we study the benefits of incorporating trust into decision-making for resource provisioning in next-generation communications networks. In this regard, we study the trust-aware service chain embedding problem for enhancing the reliability of virtual network function (VNF) placement on the trusted infrastructure. The problem of placing the VNFs onthe NFV infrastructure (NFVI) and establishing the routing paths between them, according to the service chain template, is termed SFC embedding. The objectives and constraints for the optimization problem formulation of SFC embedding may vary depending on the corresponding network service. We introduce the notion of trustworthiness as a measure of security in SFC embedding and thus network service deployment. We formulate the resulting trust-aware SFC embedding problem as a Mixed Integer Linear Program (MILP). We relax the integer constraints to reduce the time complexity of the MILP formulation and obtain a Linear Program (LP). We investigate the trade-offs among the two formulations, seeking to strike a balance between results accuracy and time complexity. The space-air-ground integrated network (SAGIN) offers potential benefits that are not possible otherwise, including global coverage, low latency, and high reliability. On the other hand, the heterogeneity of the integrated network with non-unified interfaces, and the diversity of 5G use cases with large-scale applications highlight the need for a unified management structure and a dynamic resource allocation policy that are both scalable and flexible enough to handle the increasing complexity. In the third chapter, on one hand, we optimize the integration of the hybrid network by deployment of satellite gateways on the ground segment of the network to ensure proper connection between the layers with minimum latency, and on the other hand, we aim at providing a seamless management and control scheme for the hybrid network utilizing the capacities of the supportive technologies, software-defined networking (SDN) and network function virtualization (NFV); In particular, we study the problem of SDN controller placement with the goal maximizing the reliability of the hybrid network. In the fourth chapter, we propose trust as a metric to measure the trustworthiness of the FL agents and thereby enhance the security of the FL training. We first elaborate on trust as a security metric by presenting a mathematical framework for trust computation and aggregation within a multi-agent system. We t","url":"https://doi.org/10.13016/sefk-19rz","authors":["Torkzaban, Nariman"],"tags":["Electrical engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.13016/sefk-19rz","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000168682","name":"A Systematic Approach to Task Assignment and Production Planning in Disassembly with Employee Skills","source":"datacite","abstract":"An emerging shortage of resources fosters a development for strategies for the circularity of products and resources. Due to the different states of returned end-of-life products, the complexity for employees in disassembly increases. This work aims to provide an approach for an optimal allocation of disassembly tasks to individual employees and therefore enable a basis for planning and control in disassembly. At first, a task description is provided based on which a standardized time for operations is considered. Second, a link is created between the task description and the product state. Depending on the product state the time determined prior can be adjusted. Third, human skills are considered in manufacturing. It is assumed that within a production system there are different employees with different, developing skill sets. Based on specific skills, a task-to-person-is conducted. Using the information gathered, a Digital Twin (DT) that includes the human nature of the employees and their state is created to enable a simulation of tasks and thereby also a learning system for “first-time-seen” products. When facing complex tasks, the cognitive load and human's fatigue are decisive for performance and thereby the time required for execution. Completing these steps, a multistage concept is created that enables a more precise disassembly planning that can be shown in the case study on the example of components of electric vehicles.","url":"https://doi.org/10.5445/ir/1000168682","authors":["Dvorak, Julia","Wurster, Marco","May, Marvin Carl","Lanza, Gisela"],"tags":["Human Digital Twin","Disassembly","Industry 4.0","Process Planning and Control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5445/ir/1000168682","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15480/882.9166","name":"Digital assistance for aircraft manufacturing – process requirements and technologies","source":"datacite","abstract":"High quality and productivity requirements prevail in aircraft manufacturing. To ensure these standards are met, production processes are largely automated and digitalized. However, high product complexity leads to many manual processes which are much more prone to errors and insufficient productivity. To support workers effectively, this paper proposes a concept for workers in aircraft manufacturing, which connects different Digital Assistance Technologies using a Digital Twin. The concept results from the analysis of influencing factors in manual work processes, the investigation of workers in the production environment and a survey on the technology acceptance of different Digital Assistance Technologies.","url":"https://doi.org/10.15480/882.9166","authors":["Piontek, Simon","Schütze, Mats","Lödding, Hermann"],"tags":["CPS","Digital Assistance","Digital Twin","IIoT","Operator 4.0","Engineering and Applied Operations"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15480/882.9166","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10671871","name":"The Fourth Industrial Revolution: A Primer on Industry 4.0 and its Transformative Impact","source":"datacite","abstract":"The onset of the Fourth Industrial Revolution, commonly known as Industry 4.0, signals a monumental shift in the way goods are manufactured. By integrating advanced digital technologies and smart automation into production processes, Industry 4.0 enables a level of optimization, flexibility, and efficiency thus far unseen in industrial manufacturing. This literature review provides a comprehensive overview of the technological innovations driving Industry 4.0, the benefits spurring its adoption, and the implementation challenges that lay ahead. Following a brief historical context on the three previous industrial revolutions, the paper outlines the core Industry 4.0 technologies: industrial internet of things, advanced data analytics, artificial intelligence, advanced robotics, and cloud computing. These capabilities allow for intelligent industrial operations, with machines, products, and systems autonomously communicating and coordinating along the value chain. The discussion centers on how these technologies intersect to create cyber-physical production systems and smart factories. The drivers spurring Industry 4.0 adoption are highlighted, from meeting the demands of globalized markets to retaining competitiveness. Firms are incentivized by increased operational efficiencies, with 80% of early adopters already seeing reduced costs, according to McKinsey. Additional benefits analyzed include improved flexibility, higher quality, and mass customization abilities. However, integrating legacy equipment with cutting-edge IT systems poses major implementation challenges. Upgrading disparate systems into a fully integrated digital ecosystem necessitates massive investment. Studies by Accenture and others point to the struggle in managing this digital transformation. Further challenges highlighted include reskilling workers, protecting intellectual property, and addressing heightened cybersecurity risks. To ground the discussion, real-world examples of successful Industry 4.0 implementation are provided, spanning smart manufacturing facilities to integrated supply chains. Case studies analyze early adopters, revealing best practices and lessons learned. Regulatory, workforce, and business model implications are also explored as Industry 4.0 diffuses more broadly. In conclusion, the profound scale of the Fourth Industrial Revolution is affirmed, with Industry 4.0 set to transform 21st-century manufacturing. While the technological and organizational changes required are non-trivial, the research paper argues the long-term benefits far outweigh the growing pains of this digital industrial shift. Leaders who embrace this transformation will be best positioned for success.","url":"https://doi.org/10.5281/zenodo.10671871","authors":["Dr.A.Shaji George"],"tags":["Internet of Things (IoT), Cyber-Physical Systems, Smart Factory, Big Data Analytics, Artificial Intelligence, Digital Twin, Additive Manufacturing, Augmented Reality, Collaborative Robotics, Predictive Maintenance."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10671871","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10671872","name":"The Fourth Industrial Revolution: A Primer on Industry 4.0 and its Transformative Impact","source":"datacite","abstract":"The onset of the Fourth Industrial Revolution, commonly known as Industry 4.0, signals a monumental shift in the way goods are manufactured. By integrating advanced digital technologies and smart automation into production processes, Industry 4.0 enables a level of optimization, flexibility, and efficiency thus far unseen in industrial manufacturing. This literature review provides a comprehensive overview of the technological innovations driving Industry 4.0, the benefits spurring its adoption, and the implementation challenges that lay ahead. Following a brief historical context on the three previous industrial revolutions, the paper outlines the core Industry 4.0 technologies: industrial internet of things, advanced data analytics, artificial intelligence, advanced robotics, and cloud computing. These capabilities allow for intelligent industrial operations, with machines, products, and systems autonomously communicating and coordinating along the value chain. The discussion centers on how these technologies intersect to create cyber-physical production systems and smart factories. The drivers spurring Industry 4.0 adoption are highlighted, from meeting the demands of globalized markets to retaining competitiveness. Firms are incentivized by increased operational efficiencies, with 80% of early adopters already seeing reduced costs, according to McKinsey. Additional benefits analyzed include improved flexibility, higher quality, and mass customization abilities. However, integrating legacy equipment with cutting-edge IT systems poses major implementation challenges. Upgrading disparate systems into a fully integrated digital ecosystem necessitates massive investment. Studies by Accenture and others point to the struggle in managing this digital transformation. Further challenges highlighted include reskilling workers, protecting intellectual property, and addressing heightened cybersecurity risks. To ground the discussion, real-world examples of successful Industry 4.0 implementation are provided, spanning smart manufacturing facilities to integrated supply chains. Case studies analyze early adopters, revealing best practices and lessons learned. Regulatory, workforce, and business model implications are also explored as Industry 4.0 diffuses more broadly. In conclusion, the profound scale of the Fourth Industrial Revolution is affirmed, with Industry 4.0 set to transform 21st-century manufacturing. While the technological and organizational changes required are non-trivial, the research paper argues the long-term benefits far outweigh the growing pains of this digital industrial shift. Leaders who embrace this transformation will be best positioned for success.","url":"https://doi.org/10.5281/zenodo.10671872","authors":["Dr.A.Shaji George"],"tags":["Internet of Things (IoT), Cyber-Physical Systems, Smart Factory, Big Data Analytics, Artificial Intelligence, Digital Twin, Additive Manufacturing, Augmented Reality, Collaborative Robotics, Predictive Maintenance."],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.5281/zenodo.10671872","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000168518","name":"Interoperable Architecture For Logical Reconfigurations Of Modular Production Systems","source":"datacite","abstract":"Individualisation of products and ever-shorter product lifecycles require manufacturing companies to quickly reconfigure their production and adapt to changing requirements. While most of the existing literature focuses on organisational structures or hardware requirements for reconfigurability, requirements and best practices for logical reconfigurations of automated production systems are only sparsely covered. In practice, logical system reconfigurations require adjustments to the software, which is often done manually by experts. With the ongoing automation and digitisation of manufacturing systems in the context of Industry4.0, the need for automated software reconfigurations is increasing. However, heterogeneous and proprietary technologies in the field of industrial automation pose a hurdle to overcome for generally applicable approaches for logical reconfigurations in the industrial domain. Therefore, this paper reviews available technologies that can be used to solve the problem of automated software reconfigurations. For this purpose, an architecture and a procedure are proposed on how to use these technologies for automatic adaptation and virtual commissioning of control software in industrial automation. To demonstrate the interoperability of the approach, collective cloud manufacturing is used as a composing platform. The presented approach further includes a domain-specific capability model for the specification of software artefacts to be generated, allowing jobs to be described and matched on the platform. The core element is a code generator for generating and orchestrating the control code for process execution using the reconfigurable digital twin as a validator on the platform. The approach is evaluated and demonstrated in a real-world use case of a modular disassembly station.","url":"https://doi.org/10.5445/ir/1000168518","authors":["Behrendt, Sebastian","Wurster, Marco","Strljic, Matthias","Klein, Jan-Felix","May, Marvin Carl","Lanza, Gisela"],"tags":["Logical Reconfiguration","Production Control","Industry4.0","Modular Production Systems","Reconfigurable Manufacturing Systems","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5445/ir/1000168518","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2401.17799","name":"AI-enabled Cyber-Physical In-Orbit Factory -- AI approaches based on digital twin technology for robotic small satellite production","source":"datacite","abstract":"With the ever increasing number of active satellites in space, the rising demand for larger formations of small satellites and the commercialization of the space industry (so-called New Space), the realization of manufacturing processes in orbit comes closer to reality. Reducing launch costs and risks, allowing for faster on-demand deployment of individually configured satellites as well as the prospect for possible on-orbit servicing for satellites makes the idea of realizing an in-orbit factory promising. In this paper, we present a novel approach to an in-orbit factory of small satellites covering a digital process twin, AI-based fault detection, and teleoperated robot-control, which are being researched as part of the \"AI-enabled Cyber-Physical In-Orbit Factory\" project. In addition to the integration of modern automation and Industry 4.0 production approaches, the question of how artificial intelligence (AI) and learning approaches can be used to make the production process more robust, fault-tolerant and autonomous is addressed. This lays the foundation for a later realisation of satellite production in space in the form of an in-orbit factory. Central aspect is the development of a robotic AIT (Assembly, Integration and Testing) system where a small satellite could be assembled by a manipulator robot from modular subsystems. Approaches developed to improving this production process with AI include employing neural networks for optical and electrical fault detection of components. Force sensitive measuring and motion training helps to deal with uncertainties and tolerances during assembly. An AI-guided teleoperated control of the robot arm allows for human intervention while a Digital Process Twin represents process data and provides supervision during the whole production process. Approaches and results towards automated satellite production are presented in detail.","url":"https://doi.org/10.48550/arxiv.2401.17799","authors":["Leutert, Florian","Bohlig, David","Kempf, Florian","Schilling, Klaus","Mühlbauer, Maximilian","Ayan, Bengisu","Hulin, Thomas","Stulp, Freek","Albu-Schäffer, Alin","Kutscher, Vladimir","Plesker, Christian","Dasbach, Thomas","Damm, Stephan","Anderl, Reiner","Schleich, Benjamin"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.48550/arxiv.2401.17799","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10577163","name":"Deliverable 1.1 Initial Descriptions of Use Cases with Expected Outcomes and Impact Projections to 3 Target Domains","source":"datacite","abstract":"It is expected that in the next five years, the penetration of 5G technologies in industry and, specifically, in manufacturing will be significant and continuously increasing, positively impacting industry revenues, GDP and the workforce in the sector. The 5G TIMBER project aims to address the challenge of adopting 5G technologies in small and medium size manufacturing industries focusing on the wood sector. Within this field, the project will demonstrate key implementations of advanced approaches leveraging the specific characteristics of 5G technology to enhance and enable the exploitation of material models for wood, open standards for production data, secure exchange of data, data analytics at the edge, precise indoor localisation, Digital Twin models (DT) augmented reality (AR), industrial IoT. To support the development of innovative and commercially exploitable approaches based on the described technologies, innovative use cases (UCs) are defined to support the activities of the 5G TIMBER project in the wood value chain. Three categories of UCs have been selected: i) data-driven sawmill and woodworking machine setup; ii) modular wood-house factory; iii) construction and renovation with wooden elements, valorisation of composite waste. Within these three categories, specific UCs have been further defined. This deliverable provides a structured description of the UC categories and related use cases. This description also addresses general requirements for implementing the UCs and field trials, the actors involved and their central role, the benefits of 5G technologies, possible constraints, and risks. Besides this, this deliverable also defines structured input and application framework for the solutions and approaches to be developed within the 5G TIMBER project and further addressed in WP2 and WP3. The final version of this deliverable, due on September 30th 2022, has been updated on December 21st 2022, to take into consideration the technical and operative details related to UC1.1 driven by the interaction with Hekotek and the involved sawmill; and the current status of the availability of 5G technologies, hardware components and related capabilities, emerged in the continuous advancement in this area.","url":"https://doi.org/10.5281/zenodo.10577163","authors":["Urgo, Marcello","Colombo, Giorgio","Rossoni, Marco","Le Moullec, Yannick","Alam, Muhammad Mahtab","Kuusik, Kuusik","Blaga, Felix","Munaretto, Daniele","di Pietro, Nicola","Ronzani, Daniele","Parker, Stephen","Pryor, Simon","Doms, Geert","Haenisch, Jochen","Kaasa, Tord","Harma, Valentina","Muzakko, Margo","Saaremagi, Priit","Poletajev, Vladimir","Engelmann, Jens","Ulrich, Thomas","Loonurm, Rauno","Ahmad, Iftikhar","Fortino, Stefania","Hradil, Petr","Halme, Jari","Emmus, Mari"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10577163","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10577164","name":"Deliverable 1.1 Initial Descriptions of Use Cases with Expected Outcomes and Impact Projections to 3 Target Domains","source":"datacite","abstract":"It is expected that in the next five years, the penetration of 5G technologies in industry and, specifically, in manufacturing will be significant and continuously increasing, positively impacting industry revenues, GDP and the workforce in the sector. The 5G TIMBER project aims to address the challenge of adopting 5G technologies in small and medium size manufacturing industries focusing on the wood sector. Within this field, the project will demonstrate key implementations of advanced approaches leveraging the specific characteristics of 5G technology to enhance and enable the exploitation of material models for wood, open standards for production data, secure exchange of data, data analytics at the edge, precise indoor localisation, Digital Twin models (DT) augmented reality (AR), industrial IoT. To support the development of innovative and commercially exploitable approaches based on the described technologies, innovative use cases (UCs) are defined to support the activities of the 5G TIMBER project in the wood value chain. Three categories of UCs have been selected: i) data-driven sawmill and woodworking machine setup; ii) modular wood-house factory; iii) construction and renovation with wooden elements, valorisation of composite waste. Within these three categories, specific UCs have been further defined. This deliverable provides a structured description of the UC categories and related use cases. This description also addresses general requirements for implementing the UCs and field trials, the actors involved and their central role, the benefits of 5G technologies, possible constraints, and risks. Besides this, this deliverable also defines structured input and application framework for the solutions and approaches to be developed within the 5G TIMBER project and further addressed in WP2 and WP3. The final version of this deliverable, due on September 30th 2022, has been updated on December 21st 2022, to take into consideration the technical and operative details related to UC1.1 driven by the interaction with Hekotek and the involved sawmill; and the current status of the availability of 5G technologies, hardware components and related capabilities, emerged in the continuous advancement in this area.","url":"https://doi.org/10.5281/zenodo.10577164","authors":["Urgo, Marcello","Colombo, Giorgio","Rossoni, Marco","Le Moullec, Yannick","Alam, Muhammad Mahtab","Kuusik, Kuusik","Blaga, Felix","Munaretto, Daniele","di Pietro, Nicola","Ronzani, Daniele","Parker, Stephen","Pryor, Simon","Doms, Geert","Haenisch, Jochen","Kaasa, Tord","Harma, Valentina","Muzakko, Margo","Saaremagi, Priit","Poletajev, Vladimir","Engelmann, Jens","Ulrich, Thomas","Loonurm, Rauno","Ahmad, Iftikhar","Fortino, Stefania","Hradil, Petr","Halme, Jari","Emmus, Mari"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.5281/zenodo.10577164","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.22181756.v1","name":"Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots","source":"datacite","abstract":"High quality, safe, and reliable batteries are essential for widespread adoption of electric vehicles. Current Li-ion battery pack manufacturing processes rely on manual inspections to ensure electric vehicle battery quality. Such manual quality control is prone to errors, increasing the chances of defective batteries. This is likely to increase safety and reliability concerns in the public imagination, slowing down the adoption of electric vehicles. Furthermore, manual inspection is time-consuming and likely to become a bottleneck in scaling up electric vehicle battery production. A potential solution to address this need for fast and accurate inspection of batteries is the use of machine vision and robotics. In this study, we use digital twin design and simulation to develop a battery module inspection system that uses cobots and machine vision to inspect electric vehicle batteries for defects. Our proposed system can automate visual quality checks that are currently being done by human operators. The proposed cobotic system has been simulated and validated for a variety of battery defects to achieve fast and reliable detection. Since a digital twin of the cobotic inspection workcell has been used, the battery inspection system, as designed and validated, is ready for immediate implementation.","url":"https://doi.org/10.6084/m9.figshare.22181756.v1","authors":["Sharma, Ajit"],"tags":["Biochemistry","Space Science","Neuroscience","Biotechnology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Science Policy","Infectious Diseases"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.22181756.v1","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.6084/m9.figshare.22181756","name":"Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots","source":"datacite","abstract":"High quality, safe, and reliable batteries are essential for widespread adoption of electric vehicles. Current Li-ion battery pack manufacturing processes rely on manual inspections to ensure electric vehicle battery quality. Such manual quality control is prone to errors, increasing the chances of defective batteries. This is likely to increase safety and reliability concerns in the public imagination, slowing down the adoption of electric vehicles. Furthermore, manual inspection is time-consuming and likely to become a bottleneck in scaling up electric vehicle battery production. A potential solution to address this need for fast and accurate inspection of batteries is the use of machine vision and robotics. In this study, we use digital twin design and simulation to develop a battery module inspection system that uses cobots and machine vision to inspect electric vehicle batteries for defects. Our proposed system can automate visual quality checks that are currently being done by human operators. The proposed cobotic system has been simulated and validated for a variety of battery defects to achieve fast and reliable detection. Since a digital twin of the cobotic inspection workcell has been used, the battery inspection system, as designed and validated, is ready for immediate implementation.","url":"https://doi.org/10.6084/m9.figshare.22181756","authors":["Sharma, Ajit"],"tags":["Biochemistry","Space Science","Neuroscience","Biotechnology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Science Policy","Infectious Diseases"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.6084/m9.figshare.22181756","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10552315","name":"Digital Twin: An Introduction","source":"datacite","abstract":"Abstract A digital twin is the digital replica of a physical process, person, place, system or device that mirrors the actual process and has full knowledge of its historical performance. The digital copy is continually connected to the physical object(s) and updates itself to reflect real-world changes. The digital twin of any device/system is a working model of all components integrated and mapped together using physical data, virtual data, and interaction data between them to make a fully functional replica of the device/system. Digital twin is at the forefront of the Industry 4.0 revolution. This paper presents an introduction to digital twin.","url":"https://doi.org/10.5281/zenodo.10552315","authors":["Matthew N. O. Sadiku","Uwakwe C. Chukwu","Abayomi Ajayi-Majebi","Sarhan M. Musa"],"tags":["digitalization, digital twin, manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.10552315","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5281/zenodo.10552314","name":"Digital Twin: An Introduction","source":"datacite","abstract":"Abstract A digital twin is the digital replica of a physical process, person, place, system or device that mirrors the actual process and has full knowledge of its historical performance. The digital copy is continually connected to the physical object(s) and updates itself to reflect real-world changes. The digital twin of any device/system is a working model of all components integrated and mapped together using physical data, virtual data, and interaction data between them to make a fully functional replica of the device/system. Digital twin is at the forefront of the Industry 4.0 revolution. This paper presents an introduction to digital twin.","url":"https://doi.org/10.5281/zenodo.10552314","authors":["Matthew N. O. Sadiku","Uwakwe C. Chukwu","Abayomi Ajayi-Majebi","Sarhan M. Musa"],"tags":["digitalization, digital twin, manufacturing"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.5281/zenodo.10552314","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15488/15974","name":"Shifting value stream patterns along the product lifecycle with digital twins","source":"datacite","abstract":"The concept of digital twins promises high potentials for product design, manufacturing, user experience and recycling. Thus, digital twins have received increasing interest in academia and industry. However, the actual benefits of digital twins remain in many cases unclear. This article aims to summarize selected recent developments in this field and demonstrate use cases from different phases of the product lifecycle. For that purpose, examples from the design, manufacturing, use and recycling phase are presented. In a subsequent discussion, ideas for new value stream patterns using digital twins are envisioned and research questions are derived.","url":"https://doi.org/10.15488/15974","authors":["Schleich, Benjamin","Dittrich, Marc-André","Clausmeyer, Till","Damgrave, Roy","Erkoyuncu, John Ahmet","Haefner, Benjamin","De Lange, Jos","Plakhotnik, Denys","Scheidel, Wieben","Wuest, Thorsten"],"tags":["Cyber-physical systems","Design","Digital twin","Manufacturing","Recycling","Konferenzschrift","Dewey Decimal Classification::600 | Technik","Dewey Decimal Classification::600 | Technik::670 | Industrielle und handwerkliche Fertigung"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.15488/15974","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.7275/btes.1957","name":"Design for an industrialized construction in architecture education: a case study integrating dfma and digital twin in the design studio","source":"datacite","abstract":"This case study aims to contribute to the adoption of Industrialized Construction (IC) principles into teaching. The paper presents the work done in a Master of Architecture studio conducted remotely. A pedagogical approach to introduce Design for Manufacturing and Assembly (DfMA) and Digital Twin concepts is presented. An analysis is conducted to evaluate the effectiveness in integrating IC principles into the design studio. The analysis framework uses the DfMA guidelines developed by the American Institute of Architects (AIA), the Royal Institute of British Architects’ RIBA Plan of Work 2020, and the British Ministry of Housing’s Modern Methods of Construction. The case study uses three phases in the design process, pre-design, design, and post-design, in its evaluation. The analysis results show that certain components of DfMA can successfully be integrated into a design studio framework. Although the structure of AIA and RIBA guidelines is followed, the order of the design process can vary according to the workflow designed by the students in the pre-design phase. The case study demonstrates a pervasive sense of social and ecological responsibility associated with the adoption of IC techniques in the design studio. There is an opportunity to expand the potential of IC practices by thinking beyond the design methodology. Findings suggest modularity as a social connector, which in turn, serves as a component towards a more cohesive built environment.","url":"https://doi.org/10.7275/btes.1957","authors":["Paola Sanguinetti","Luz Rodríguez"],"tags":["Education","Industrialized Construction","Design for Manufacturing and Assembly","Digital Twin","Modular Architecture","Built Environment"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.7275/btes.1957","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-2794","name":"Проектное управление при разработке цифрового двойника газотурбинного двигателя","source":"datacite","abstract":"Предмет ВКР: совершенствование подходов проектного управления при реализации проектов по разработке цифрового двойника газотурбинного двигателя. Тема ВКР: «Проектное управление при разработке цифрового двойника газотурбинного двигателя». Цель ВКР: организация процесса совершенствования подходов проектного управления в рамках реализации проектов по разработке цифрового двойника газотурбинного двигателя путем формирования концепции зеркальных инжиниринговых центров. Метод проведения ВКР: формирование концепции зеркальных инжиниринговых центров, направленной на совершенствование подходов проектного управления в рамках реализации проектов по разработке цифрового двойника газотурбинного двигателя. Результаты ВКР: сформулирована концепция з��µÑ€ÐºÐ°Ð»ÑŒÐ½Ñ‹Ñ… инжиниринговых центров как новый подход в проектном управлении для обеспечения трансфера технологии разработки цифрового двойника газотурбинного двигателя. Область применения результатов ВКР: реализация проектов в формате зеркальных инжиниринговых центров для осуществления цифровой трансформации отрасли двигателестроения.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-2794","authors":["Щербакова, Елизавета"],"tags":["Газотурбинные двигатели","проектное управление","наукоемкое производство","цифровая трансформация","трансфер Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹","цифровой двойник","зеркальный инжиниринговый центр","project management"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18720/spbpu/3/2023/vr/vr23-2794","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2312.16999","name":"Multi-Tier Computing-Enabled Digital Twin in 6G Networks","source":"datacite","abstract":"Digital twin (DT) is the recurrent and common feature in discussions about future technologies, bringing together advanced communication, computation, and artificial intelligence, to name a few. In the context of Industry 4.0, industries such as manufacturing, automotive, and healthcare are rapidly adopting DT-based development. The main challenges to date have been the high demands on communication and computing resources, as well as privacy and security concerns, arising from the large volumes of data exchanges. To achieve low latency and high security services in the emerging DT, multi-tier computing has been proposed by combining edge/fog computing and cloud computing. Specifically, low latency data transmission, efficient resource allocation, and validated security strategies of multi-tier computing systems are used to solve the operational problems of the DT system. In this paper, we introduce the architecture and applications of DT using examples from manufacturing, the Internet-of-Vehicles and healthcare. At the same time, the architecture and technology of multi-tier computing systems are studied to support DT. This paper will provide valuable reference and guidance for the theory, algorithms, and applications in collaborative multi-tier computing and DT.","url":"https://doi.org/10.48550/arxiv.2312.16999","authors":["Wang, Kunlun","Tang, Yongyi","Duong, Trung Q.","Khosravirad, Saeed R.","Dobre, Octavia A.","Karagiannidis, George K."],"tags":["Cryptography and Security (cs.CR)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2312.16999","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.17863/cam.65445","name":"\"Built Environment Digital Twining\"","source":"datacite","abstract":"A digital twin is a digital replica of a real-world physical entity (El Saddik 2018). The concept is already widely used in the manufacturing sector. In the built environment sector, digital twins are gradually entering the conversation as they can offer substantial value to all associated stakeholders. This report is the outcome of the International Workshop on Built Environment Digital Twinning, which was co-sponsored by the Institute for Advanced Study of Technical University of Munich (TUM-IAS) and Siemens AG.","url":"https://doi.org/10.17863/cam.65445","authors":["Brilakis, Ioannis","Pan, Yuandong","Borrmann, Andre","Mayer, Hermann-Georg","Rhein, Fabian","Vos, Catharina","Pettinato, Eva","Wagner, Sigrid"],"tags":[],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.17863/cam.65445","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15488/15286","name":"Bridging The Gap: A Framework For Structuring The Asset Administration Shell In Digital Twin Implementation For Industry 4.0","source":"datacite","abstract":"The digital twin is a core technology for implementing Industry 4.0 scenarios in scientific and industrial applications. One upcoming variant of the digital twin is the concept of the asset administration shell, representing an approach to standardization. This approach must be adapted to specific use cases and applied in a target-oriented manner. However, no comprehensive guidance exists on structuring and implementing asset administration shells based on the digital twin in manufacturing environments. This issue pertains to defining and organizing the relevant data and mapping domain-specific limitations and characteristics within the hierarchical structure of the asset administration shell's components. This paper introduces an approach to structuring the asset administration shell to address this gap. This approach capitalizes on domain-specific expertise, industry standards, and established best practices, providing a framework. We validate the presented approach by applying it to the use case of distributed high-rate electrolyser production. The overarching objective of this research is to bridge the gap between theoretical concepts and practical applications.","url":"https://doi.org/10.15488/15286","authors":["Risling, Monika","Himmelstoss, Henry","Brandstetter, Alexander","Shi, Dachuan","Bauernhansl, Thomas"],"tags":["Digital Twin","Asset Administration Shell","Systematic Structuring","Digital Manufacturing","Industry 4.0","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/15286","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15488/15285","name":"Conceptualizing A Digital Twin Based On The Asset Administration Shell For The Implementation Of Use Case Specific Digital Services","source":"datacite","abstract":"In the context of ongoing digitalization, manufacturing companies face new challenges and the need to expand their portfolios to include new digital services. Enriching their portfolio with digital services can be an opportunity for manufacturing companies to position themselves in emerging collaborative production networks and thus make their business model fit for the future. The paper ties in with the activities from the Product Lifecycle Enrichment as a Service (PLCEaaS) research project. Within this context, use cases for digital services have already been derived, modelled, and documented in various workshops. The respective digital services directly address external customers and internal stakeholders from development. The central enabler for the new digital services is the digital twin based on the asset administration shell, which makes the necessary data available and thus supports interoperability. The asset administration shell is enriched with use case-specific submodels. The procedure for structuring these submodels is shown in this paper using the research project as an example. This includes modelling the digital services with a standardized modelling language based on the semi-structured use cases described so far. As a result, we obtain an asset administration shell enriched with several submodels - some of which may be based on standardization activities already underway or represent proprietary submodels. Likewise, it is considered whether more submodels are required to implement the domain-specific use cases that are currently not yet addressed in standardization activities. The paper ends with an outlook on the further research activities that are necessary to prototype the planned project and describes which criteria can be used to evaluate the defined submodels in the later course of the project.","url":"https://doi.org/10.15488/15285","authors":["Himmelstoss, Henry","Hall, Roland","Vojanec, Bernd","Thieme, Paul","Bauernhansl, Thomas"],"tags":["Digital Twin","Asset Administration Shell","Smart Service","Digital Manufacturing","Industry 4.0","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/15285","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15488/15277","name":"Self-Optimization In Gear Manufacturing And Assembly For Automotive Electric Drive Production","source":"datacite","abstract":"Due to the trend of electrification in the automotive industry, the economic production of electric drives with high acoustic quality requirements is a crucial factor to stay competitive in the global market. Low noise levels in the interior are an important criterion for the perceived quality of electric vehicles. Consequently, the noise generated by mounted gear components within integrated electric drive topologies must be minimized. Gears with unavoidable manufacturing deviations are usually randomly assembled, leading to random non-defined gear-related acoustic properties of the assembled electric drive. Furthermore, parameters of the gear manufacturing machines do not dynamically adapt to unknown changes in the production system leading to non-ideal quality output. To address these challenges, this paper presents a self-optimization concept in gear manufacturing and assembly in the production of electric drives by cognition enhanced control. A digital twin is developed which estimates the transmission error based on in-line measurements. Through optimization, an optimal selection of gear pairs is achieved. Based on quality predictions, adaptive control of the gear manufacturing process can be implemented, leading towards a closed-loop self-optimization of the production system. The concept is developed and validated using an exemplary use case from the commercial vehicle industry.","url":"https://doi.org/10.15488/15277","authors":["Friedrich, Bastian","Buschmann, Daniel","Schmitt, Robert H."],"tags":["Self-Optimization","Cognitive Control","Digital Twin","Gears","Electric Drive Production","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/15277","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15488/15270","name":"Interoperable Architecture For Logical Reconfigurations Of Modular Production Systems","source":"datacite","abstract":"Individualisation of products and ever-shorter product lifecycles require manufacturing companies to quickly reconfigure their production and adapt to changing requirements. While most of the existing literature focuses on organisational structures or hardware requirements for reconfigurability, requirements and best practices for logical reconfigurations of automated production systems are only sparsely covered. In practice, logical system reconfigurations require adjustments to the software, which is often done manually by experts. With the ongoing automation and digitisation of manufacturing systems in the context of Industry4.0, the need for automated software reconfigurations is increasing. However, heterogeneous and proprietary technologies in the field of industrial automation pose a hurdle to overcome for generally applicable approaches for logical reconfigurations in the industrial domain. Therefore, this paper reviews available technologies that can be used to solve the problem of automated software reconfigurations. For this purpose, an architecture and a procedure are proposed on how to use these technologies for automatic adaptation and virtual commissioning of control software in industrial automation. To demonstrate the interoperability of the approach, collective cloud manufacturing is used as a composing platform. The presented approach further includes a domain-specific capability model for the specification of software artefacts to be generated, allowing jobs to be described and matched on the platform. The core element is a code generator for generating and orchestrating the control code for process execution using the reconfigurable digital twin as a validator on the platform. The approach is evaluated and demonstrated in a real-world use case of a modular disassembly station.","url":"https://doi.org/10.15488/15270","authors":["Behrendt, Sebastian","Wurster, Marco","Strljic, Matthias","Klein, Jan-Felix","May, Marvin Carl","Lanza, Gisela"],"tags":["Logical Reconfiguration","Production Control","Industry4.0","Modular Production Systems","Reconfigurable Manufacturing Systems","Konferenzschrift","Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15488/15270","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.7488/era/4023","name":"Surrogate models for laser powder bed fusion digital twins","source":"datacite","abstract":"Accurate and fast modeling of the temperature distribution and phase transitions in laser powder bed fusion is a major milestone in achieving its quality assurance. Commonly referred to as digital twin technology, the goal is to fi nd agile, fast-to-compute but also sufficiently accurate simulators that can replicate the 3D printing process while enhancing the quality of its outcomes. While the nonlinear heat equation in the context of laser powder bed fusion is numerically solved by the finite element method, three time-efficient surrogates are proposed as fast alternatives with different trade-offs between model accuracy, robustness, offline preparation, and online execution time. The fi rst one is the reduced Gaussian process surrogate, which is a data-driven model equipped with a nonlinear dimension reduction scheme. It outperforms in real-time execution online managing to predict temperature profi les almost instantly, though it is comparably less accurate, not robust to random anisotropy, and requires o ine preparation of data generation, nonlinear dimension reduction, and training. The second one is the sketched surrogate with data-driven local projection. It projects the accurate but high-dimensional nite element method solution with a low-dimensional basis formed by subsampled training temperatures and then bypasses the majority of costly computations for the temperature-dependent matrices in the projected model by randomized sketching. It is the most accurate surrogate while lacking robustness, necessitating the same offline preparation, and taking more time compared with the rst surrogate. The third one is the sketched surrogate with online local projection. Its projection bases are generated in the process of simulation by combining previous temperature pro les and locally deployed anisotropic Gaussian functions, while the sketching process utilizes efficient sampling within out replacement based on approximate optimal sampling distributions. Both the projection and the sketching are designed to implement alongside the printing process, which makes this surrogate capable of handling different process parameters without requiring prior computations offline. The third surrogate, therefore, is accurate, robust, and requires no offline preparation, although it entails longer online execution time compared to the other two surrogates. A series of numerical experiments are carried out to present and compare the performance of the three surrogates, which assumes a two-layer printing process with a fixed laser beam trajectory using different printing attributes (laser power and scan speed) and arbitrary thermal conductivity anisotropy. All three surrogates are also principally feasible in other thermal-driven additive manufacturing to obtain better quality assurance with techniques like uncertainty management and closed-loop control.","url":"https://doi.org/10.7488/era/4023","authors":["Li, Xiaohan"],"tags":["Surrogate models","laser powder bed fusion digital twins","laser powder bed fusion","digital twin technology","nonlinear heat equation","three time-e cient surrogates","nonlinear dimension reduction scheme","high-dimensional nite element method solution"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.7488/era/4023","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.15480/882.8602","name":"Flexibility - grand challenge for product design and production : review and status","source":"datacite","abstract":"As seen in recent years, the volatile, uncertain, complex, and ambiguous environment has made flexibility in product design and production planning more important than ever. Therefore, companies must be able to quickly respond to the dynamically changing environment. However, research on the flexibility of product design and manufacturing systems has been underway for a long time, only a few studies address their relationship. In this paper, we give an overview of literature related to flexibility and add transparency to the relationship between engineering changes, product development, and production. Based on that, we propose a conceptual framework for co-development to improve the flexibility of product development and production. As part of the framework, we introduce a visualization that reveals the propagation of changes in the product and into the production to create deeper insights for conjoint redesign. To exploit further synergies of product and production, we suggest modularization with focus on strategic module drivers enhancing flexibility. Further support for the comparison of alternative concepts can be provided through digital twin-based simulations of the production system.","url":"https://doi.org/10.15480/882.8602","authors":["Beibl, Julia","Lee, Jongsuk","Krause, Dieter","Moon, Seung Ki"],"tags":["digital twin","flexiblity","modularization","Engineering"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.15480/882.8602","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-445","name":"Создание цифрового двойника модульной системы изготовления Ð»ÐµÐ½Ñ‚Ð¾Ñ‡Ð½Ñ‹Ñ Ð¿Ñ€ÐµÐ¿Ñ€ÐµÐ³Ð¾Ð²","source":"datacite","abstract":"Данная выпускная квалификационная работа посвящена исследованию цифровых двойников производственных систем. В первой главе раскрыты определение и целесообразность внедрения цифровых близнецов в промышленности. Вторая глава описывает функционал и концептуальную структуру цифровых двойников, а также демонстрирует пример применения возможностей современных средств инженерного анализ на примере манипуляторного устройства в виде прочностного расчета и топологической оптимизации его конструкции. Третья глава отражает структурную и функциональную схемы цифровых двойников при интеграции на промышленных сборочных линиях.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-445","authors":["Смирнов, Павел"],"tags":["ÐšÐ¾Ð½ÐµÑ‡Ð½Ñ‹Ñ ÑÐ»ÐµÐ¼ÐµÐ½Ñ‚Ð¾Ð² метод","Ð¢ÐµÑ Ð½Ð¸Ñ‡ÐµÑÐºÐ¸Ðµ системы","цифровой двойник","аддитивные Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸","прочностной расчет","топологическая оптимизация","кинематический анализ","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.18720/spbpu/3/2023/vr/vr23-445","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-273","name":"Разработка Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¿Ð»Ð°Ð·Ð¼Ð¾Ñ Ð¸Ð¼Ð¸Ñ‡ÐµÑÐºÐ¾Ð³Ð¾ травления карбида кремния для создания мембран ÐµÐ¼ÐºÐ¾ÑÑ‚Ð½Ñ‹Ñ Ð´Ð°Ñ‚Ñ‡Ð¸ÐºÐ¾Ð² давления","source":"datacite","abstract":"Тема выпускной квалификационной работы: «Разработка технологии плазмохимического травления карбида кремния для создания мембран емкостных датчиков давления». В данной работе проводилось изучение процесса глубокого плазмохимического травления (ПХТ) монокристаллического карбида кремния (SiC) в SF6/O2 индуктивно-связанной плазме. Методом оптической-эмиссионной спектроскопии (ОЭС) было исследовано влияние высокочастотной (ВЧ) мощности, напряжения смещения, давления в реакционной камере и состава газовой смеси на процесс травления SiC. Был разработан процесс ПХТ, оптимизированный для массового производства мембран из карбида кремния, толщиной менее 20 мкм, со скоростью травления порядка 1,2 мкм/мин и шероховатостью поверхности менее 0,7 нм. Влияние эффекта микротренчинга на электромеханические свойства мембраны емкостного датчика давления было изучено посредством компьютерного моделирования. Были сравнены электромеханические характеристики идеальной мембраны из SiC и из Si и полученной реальной мембраны с микротренчингом. Результаты сравнения показали, что эффект микротренчинга оказывает негативное влияние на прочностные характеристики мембраны. Так напряжение по Мизесу при давлении 0,2 МПа у реальной мембраны 183 МПа, когда у идеальной из SiC всего 83 МПа, а из Si – 82,7 МПа. Однако, по чувствительным параметрам реальная мембрана превосходит кремниевый аналог. В результате была создана мембрана из SiC, а на основе математического моделирования и экспериментальных данных был разработан цифровой двойник емкостного датчика давления, с помощью которого возможно разрабатывать и создавать мембраны под любые задачи с минимальным количеством временных и финансовых затрат.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-273","authors":["Левина, Светлана"],"tags":["Компьютерное моделирование","Травление металлов","Кремний, карбиды","оптическая-эмиссионная спектроскопия","мембрана","optical emission spectroscopy","membrane"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.18720/spbpu/3/2023/vr/vr23-273","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-3887","name":"Разработка метода создания цифрового двойника авиационного производства","source":"datacite","abstract":"Цель – сформулировать метод, который позволяет осуществить формальный переход от содержательного описания к цифровому двойнику. Предлагаемая методика состоит из нескольких этапов: Переход от текстового описан��¸Ñ процесса к BPMN схеме, затем построение аналитической и имитационной моделей, построение GPSS модели процесса, а затем на основании полученного отчёта подобрать компоненты из библиотек Visual Components. В первой главе представлена теоретическая база. Во второй главе приводится пошаговый метод преобразования формального описания бизнес-процесса в BPMN схему, затем переход в GPSS, а затем на основании значений подбор компонентов для создания цифрового двойника авиационного производства в Visual Components.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-3887","authors":["Турков, Владислав"],"tags":["цифровой двойник","авиационное производство","BPMN","GPSS","Bizagi modeler","Violet-bp","Visual components","построение модели"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.18720/spbpu/3/2023/vr/vr23-3887","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.25673/32873","name":"Auswirkungen von Formabweichungen im Brennraum auf das Betriebsverhalten von Ottomotoren","source":"datacite","abstract":"Die Digitalisierung der Produktion ist eine sinnvolle Möglichkeit, die Produktion selbst effizient zu gestalten und den Energiebedarf eines Fertigungsprozesses zu reduzieren. Wird zudem eine digitale Fabrik genutzt, um Daten der Bauteile miteinander zu verknüpfen, können digitale Abbilder geschaffen werden, die eine Vorabkonfiguration bzw. eine virtuelle Bauteilpaarung ermöglichen. Somit werden ideal zueinander passende Bauteilpaarungen ohne weitere Restriktionen umsetzbar. Dazu sind dreidimensionale Messverfahren notwendig, welche in eine Serienfertigung integrierbar sind und in einer annehmbaren Taktzeit eine Bauteilerfassung ermöglichen. In der Zylinderkopffertigung sind hierbei Potentiale durch eine Integration der Computertomographie (CT) erkennbar. Um das Potential der Computertomographie als Prüfverfahren zu untersuchen, sind relevante Einflussgrößen zu identifizieren, die den Motorbetrieb beeinflussen. Zur Identifizierung möglicher Einflussgrößen wurde die Prozesskette der Zylinderkopfrohteilfertigung analysiert. Daraus konnten Merkmale isoliert werden, die durch die Rohteilfertigung entstehen können. Diese Merkmale wurden in einer separaten Charge mit verschiedenen Ausprägungen gefertigt und anschließend am Prüfstand hinsichtlich ihrer motorischen Auswirkungen untersucht. Zur Erfassung des Istzustandes der Versuchsbauteile wurden die gefertigten Zylinderköpfe unter anderem in einem industriellen CT analysiert. Die Messdatenanalyse zeigt, dass die Erfassung des Brennraumvolumens tendenziell ableitbar ist. Das heißt eine Qualitätsprüfung in der Rohteilfertigung ist prinzipiell darstellbar. Für eine Überführung eines digitalen Abbildes ist die gesamte Prozesskette zu berücksichtigen, um einen wirklichen digitalen Zwilling darzustellen. Die Versuchsbauteile wurden mit einem Materialoffset gegossen und mechanisch nachgearbeitet. So konnte eine isolierte Merkmalausprägung weitestgehend sichergestellt werden. Um die Merkmale auf ihre motorischen Auswirkungen zu untersuchen, wurden die Versuchsbauteile am Motorprüfstand getestet. Da die Abweichungen teilweise äußerst gering sind, wurde zusätzlich eine transiente Ladungswechselsimulation durchgeführt, um Einflüsse auf die Gemischbildung zu identifizieren. Dabei konnten geringfüge Merkmalcharakteristika abgleitet werden, wobei die Auswirkungen sehr gering und vom geometrischen Verdichtungsverhältnis überlagert sind. Der Vergleich der Motormessung zeigt ein differenzierbares Verhalten. Die Unterschiede im stationären Motorbetrieb als auch bei der Erfassung der Klopfgrenze lassen sich primär mit den unterschiedlichen Verdichtungsverhältnissen erklären. Lediglich der Vergleich der Partikelgrößenverteilung konnte eine geringfügige Abhängigkeit der Brennraumform zeigen. Es ist eine Drehzahlabhängigkeit bei stark verkleinerten Brennräumen erkennbar, die aufgrund der sehr hohen Abweichung zum Nennmaß nicht eineindeutig auf die Brennraumformabweichung hinweist.","url":"https://doi.org/10.25673/32873","authors":["Zeilinga, Stephan Christian"],"tags":["Antriebsmotoren","Verbrennungsmotoren","621.43"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.25673/32873","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000165203","name":"Digital Twins towards Microwave-assisted 3D Printing of Continuous Carbon Fiber Reinforced Composites","source":"datacite","abstract":"Microwave-assisted 3D printing based on the fused filament fabrication (FFF) method is an emerging technology to print lightweight continuous carbon fiber reinforced thermoplastics (CCFRP) at high speed. Different from traditional FFF, microwave offers selective and volumetric heating properties to melt thermoplastic materials instantaneously, and the microwave printing head and nozzle remain at room temperature. These advantages can increase the printing speed of CCFRP significantly, while the belt slippage of a printing bed is noticed during microwave-assisted 3D printing. The slippage of the moving belt happens because the cold nozzle moves at high speed and encounters resistance from the rough surface of the printed filament. To solve this problem, this paper presents a hierarchical digital twin (DT) framework, consisting of core and basic DTs, for the prevention of belt slippage induced printing malfunction. The core DTs use MATLAB Simscape multibody models to simulate the printing process virtually and the printing G-code is corrected before printing. In addition, an accelerometer installed on the printing bed is connected to the core DTs. Abnormal vibration signals due to belt slippage can be measured and communicated with core DTs for interrupting and correcting the process. By monitoring the temperature of the heated filament and the output microwave power, the service life of the nozzle and microwave cable are evaluated in the basic DTs.","url":"https://doi.org/10.5445/ir/1000165203","authors":["Li, Nanya","Link, Guido","Jelonnek, John","Ong, S. K."],"tags":["Additive manufacturing","Digital twin","Microwave heating","Process control"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.5445/ir/1000165203","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.5445/ir/1000164525","name":"Framework for the usage of data from real-time indoor localization systems to derive inputs for manufacturing simulation","source":"datacite","abstract":"Discrete event simulation is becoming increasingly important in the planning and operation of complex manufacturing systems. A major problem with today’s approach to manufacturing simulation studies is the collection and processing of data from heterogeneous sources, because the data is often of poor quality and does not contain all the necessary information for a simulation. This work introduces a framework that uses a real-time indoor localization systems (RTILS) as a central main data harmonizer, that is designed to feed production data into a manufacturing simulation from a single source of truth. It is shown, based on different data quality dimensions, how this contributes to a better overall data quality in manufacturing simulation. Furthermore, a detailed overview on which simulation inputs can be derived from the RTILS data is given.","url":"https://doi.org/10.5445/ir/1000164525","authors":["Mieth, Carina","Meyer, Anne","Henke, Michael"],"tags":["real-time indoor localization system","input data management","cyber-physical system","manufacturing simulation","digital twin"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2019","doi":"10.5445/ir/1000164525","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.48550/arxiv.2311.07821","name":"Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process","source":"datacite","abstract":"A digital twin (DT) is a virtual representation of physical process, products and/or systems that requires a high-fidelity computational model for continuous update through the integration of sensor data and user input. In the context of laser powder bed fusion (LPBF) additive manufacturing, a digital twin of the manufacturing process can offer predictions for the produced parts, diagnostics for manufacturing defects, as well as control capabilities. This paper introduces a parameterized physics-based digital twin (PPB-DT) for the statistical predictions of LPBF metal additive manufacturing process. We accomplish this by creating a high-fidelity computational model that accurately represents the melt pool phenomena and subsequently calibrating and validating it through controlled experiments. In PPB-DT, a mechanistic reduced-order method-driven stochastic calibration process is introduced, which enables the statistical predictions of the melt pool geometries and the identification of defects such as lack-of-fusion porosity and surface roughness, specifically for diagnostic applications. Leveraging data derived from this physics-based model and experiments, we have trained a machine learning-based digital twin (PPB-ML-DT) model for predicting, monitoring, and controlling melt pool geometries. These proposed digital twin models can be employed for predictions, control, optimization, and quality assurance within the LPBF process, ultimately expediting product development and certification in LPBF-based metal additive manufacturing.","url":"https://doi.org/10.48550/arxiv.2311.07821","authors":["Li, Yangfan","Mojumder, Satyajit","Lu, Ye","Amin, Abdullah Al","Guo, Jiachen","Xie, Xiaoyu","Chen, Wei","Wagner, Gregory J.","Cao, Jian","Liu, Wing Kam"],"tags":["Machine Learning (cs.LG)","Computational Engineering, Finance, and Science (cs.CE)","Numerical Analysis (math.NA)","Data Analysis, Statistics and Probability (physics.data-an)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.07821","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"doi:10.25593/978-3-96147-317-5","name":"Ressourcenorientierte Auftragsregelung in einer hybriden Produktion mittels betriebsbegleitender Simulation","source":"datacite","abstract":"Moderne Produktionssysteme müssen in der Lage sein, innerhalb kürzester Zeit auf sich ändernde Rahmenbedingungen zu reagieren. Dies erfordert insbesondere in der Fertigungssteuerung ein hohes Maß an Transparenz und Reaktionsfähigkeit, sodass Ineffizienzen bestenfalls frühzeitig erkannt und proaktiv umgangen werden. Um dies auch bei komplexen, mehrstufigen Fertigungsprozessen zu ermöglichen, ist ein produktionssynchroner digitaler Zwilling erforderlich, der mit Vorausschau- und Optimierungskompetenz ausgestattet ist. Die vorliegende Dissertationsschrift zeigt hierzu eine ganzheitliche Methodik auf, wie Fertigungsaufträge in einer hybriden Produktion durch den Einsatz von betriebsbegleitenden simulationsgestützten Optimierungsverfahren auch bei unvorhergesehenen Abweichungen effizient durchgeführt werden können. Dieser neuartige Ansatz steuert die Produktion nicht mehr auf Basis von Plandaten und reagiert bei Bedarf mit bereichsoptimalen Lösungen, sondern regelt das System durch Integration von Echtzeitdaten kontinuierlich auf ein Gesamtoptimum hin. Ereignisdiskrete Simulationsverfahren im Kern dieser Methodik sind mit einer laufzeiteffizienten Modellierung für fluidähnliches Schüttgut sowie einer auf thermodynamischen Modellen basierenden Materialflusssteuerung versehen, um einen hinreichenden Detailgrad für den Einsatz bei kurzfristigen Problemstellungen zu gewährleisten. Dank der enthaltenen Energiesimulation können die realen Abhängigkeiten im Härteprozess hinreichend genau in der Materialflusssimulation berücksichtigt werden. Durch die Ergänzung spezifischer Optimierungsverfahren in diese zeitdynamische Modellierung gelingt es, die Entscheidungsfindung beim Simulationseinsatz zu automatisieren. Zuletzt liegt durch eine geeignete Verknüpfung mit dezentral bereitgestellten Produktionsdaten zu jeder Zeit ein Echtzeitabbild der Produktion im Simulationsmodell vor. Auf dessen Basis kann die Einhaltung der Produktionsziele kontinuierlich überprüft und der Produktionsplan bei Bedarf vorausschauend angepasst werden. Umfassende experimentelle Untersuchungen im Rahmen von Fallstudien in Kalksandsteinwerken stellen die Validität und Einsetzbarkeit der entwickelten Methodik sicher. Zudem ermöglicht deren generische Gestaltung sowie die Einrichtung einer Bausteinbibliothek für die Simulation hybrider Fertigungsprozesse eine unmittelbare Übertragung auf weitere Industriezweige.","url":"https://doi.org/10.25593/978-3-96147-317-5","authors":["Donhauser, Toni"],"tags":["670 Industrielle Fertigung"],"confidence":0.66,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.25593/978-3-96147-317-5","addedAt":"2026-09-01T01:47:43.716Z","updatedAt":"2026-09-01T01:47:43.716Z"},{"id":"oa:W4283712117","name":"24‐1: Can Light Microscopes Really Be Chip‐Sized?","source":"openalex","abstract":"Light microscopy has changed considerably over the last century. Nevertheless, it still suffers the limitation of being performed in laboratories, what causes delays to results, partial sampling and non‐continuous measurements. Here we will demonstrate chip‐sized microscopes produced only with microelectronic technologies. With a LED micro‐display as a main component and a photodetector, both raster and multi‐holographic lensless microscopes were demonstrated. The field of view of the microscopes is given by the micro‐display area while LED size limits the resolution. Their low cost in volume manufacturing and chip‐sized compactness will allow ubiquitous microscopy soon.","url":"https://doi.org/10.1002/sdtp.15471","authors":["A. Vilà","Sergio Ruiz Moreno","Á. Diéguez"],"tags":["Microscope","Raster graphics","Microelectronics","Chip","Microscopy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-06-01","doi":"https://doi.org/10.1002/sdtp.15471","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4366179080","name":"Opportunities and Limitations in Recycling Fossil Polymers from Textiles","source":"openalex","abstract":"The recovery and recycling of textile waste is becoming urgent since textiles are generating more and more waste. In one year, about 92 million tons of textile waste are produced and the fashion industry accounts for 58 million tons of plastic waste per year. Several different synthetic fibres are used in textiles, thanks to their excellent processability and mechanical properties, but on the other hand, the difficulties linked to their end of life and the release of microplastics from them during washing is currently a cause of great concern. In this context, policy actions have been aimed at promoting recycling of waste and replacing fossil-based fibres with biobased fibres. The current review, considering both scientific papers published on international journals and web sources, considers the sorting of textiles and the possible recycling of polyesters, polyamides and acrylics. Nevertheless, the contamination and presence of mixed fibres in fabrics is another issue to face for recycling. Methodologies to solve the issue linked to the presence of elastane, present in the stretch fabrics, as well as the possibility of recycling textiles in the non-woven and composite sector are investigated. Moreover, chemical recycling and enzymatic recycling of fossil polymers are also considered. Thanks to the comprehensive scheme of this review, it is possible to deduce that, while the use of biobased materials should rapidly increase in textile applications, the perspective of recycling materials obtained from waste textile into durable and/or high-performance products seems the most promising.","url":"https://doi.org/10.3390/macromol3020009","authors":["Sabrina Bianchi","Flavia Bartoli","Cosimo Bruni","Cristina Fernandez-Avila","Laura Rodríguez-Turienzo","Jorge Mellado‐Carretero","Daniele Spinelli","Maria‐Beatrice Coltelli"],"tags":["Textile","Context (archaeology)","Waste management","Textile industry","Microplastics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-15","doi":"https://doi.org/10.3390/macromol3020009","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7202090690","name":"Digital twins in poultry farming management: A review","source":"openalex","abstract":"Digital twins, defined as dynamic virtual representations of physical systems, offer potential to facilitate real-time monitoring, improve predictive capabilities, and support data-driven decision-making. The application of digital twins in poultry farming management has attracted increasing attention, however, it remains insufficiently explored, particularly in terms of framework development and layer-wise functionalities. This review presents a comprehensive study of digital twin development and components in poultry farming management, addressing the current lack of structured frameworks and systematic analysis in this domain. In this context, poultry farming management is defined as the strategic planning and implementation of a series of farm operations, including monitoring, detection, and prediction, to enhance production efficiency and achieve economic sustainability. Based on the existing literature, a three-layer digital twin framework is proposed, consisting of a data collection layer, a model layer, and an application layer. Within this framework, farm data are first captured and gathered in the data collection layer, then processed and simulated in the model layer, and finally utilized to support decision-making in the application layer. Through a detailed layer-wise analysis, the study highlights the critical role of model calibration and synchronization in ensuring consistency between physical and virtual systems. While offering promising potential, the adoption of digital twin technology in poultry farming faces several challenges, including challenges in real-world deployment, limited system integration, issues related to data quality and ownership, and insufficient solutions to ensure animal health and welfare. Finally, the study summarizes future research directions for digital twin applications in livestock production systems.","url":"https://doi.org/10.1016/j.compag.2026.112248","authors":["Jingxi Li","Aisha Sulaiman","Qingzhi Liu","Anand Gavai","Yamine Bouzembrak","Bedir Tekinerdogan","Cagatay Catal","H.J.P. Marvin"],"tags":["Poultry farming","Data collection","Consistency (knowledge bases)","Agriculture","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-10","doi":"https://doi.org/10.1016/j.compag.2026.112248","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4403182235","name":"High-Power and Safe RF Wireless Charging: Cautious Deployment and Operation","source":"openalex","abstract":"Wired charging and the need for battery replacements are critical barriers to unlimited, scalable, and sustainable mobile connectivity, motivating the interest in radio frequency (RF) wireless power transfer (WPT) technology. However, the inherently low end-to-end power transfer efficiency (PTE) and health/safety-related apprehensions about the technology are critical obstacles. Indeed, RF-WPT implementation and operation require efficient and cautious strategies and protocols, especially when targeting high-power charging, which constitutes the scope of this work. Herein, we overview the main factors affecting the end-to-end PTE of RF-WPT systems and their multiplicative effect and interdependencies. Moreover, we discuss key electromagnetic field (EMF) exposure metrics, safety limits, and approaches for efficient and EMF-aware deployment and operation. Quantitatively, we show that near-field RF charging may significantly reduce EMF exposure, and thus must be promoted. We also present our vision of a cyber-physical system for efficient and safe wireless charging, specify key components and their interrelation, and illustrate numerically the PTE attained by two modern low-power multi-antenna architectures in a simple setup. Throughout the article, we highlight the need for high end-to-end PTE architectures and charging protocols transparently complying with EMF exposure regulations, and outline relevant challenges and research directions. This work expands the vision and understanding of modern RF-WPT technology and constitutes a step toward making the technology attractive for worldwide commercial exploitation.","url":"https://doi.org/10.1109/mwc.017.2300462","authors":["Onel L. Alcaraz López","Osmel Martínez Rosabal","Amirhossein Azarbahram","Abdul Basit Khattak","Mehdi Monemi","Richard Demo Souza","Petar Popovski","Matti Latva‐aho"],"tags":["Computer science","Software deployment","Wireless","Power (physics)","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-07","doi":"https://doi.org/10.1109/mwc.017.2300462","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4416126740","name":"Digital Twin in the EPC Project Contracting Mode","source":"openalex","abstract":"This study focuses on the cost control of construction projects under the general engineering contracting mode based on digital twin technology. Through the centralized procurement of Internet of Things, cloud computing, transportation, and storage optimization, and the digital management of bill of quantities, it is found that it can effectively optimize the procurement cost and reduce the loss. Combined with the actual project, the comprehensive unit price and total price differences of labor cost, material cost, and machinery cost under the optimization of digital twin technology are compared and analyzed, and the key influencing factors and optimization path are revealed. The study further proposes a dynamic monitoring mechanism. At the same time, based on the characteristics of the general engineering contracting (EPC) mode, it is suggested to strengthen the connection between pre-planning, process monitoring, and completion settlement from the whole process of design procurement, construction, big data cost control management, so as to improve the coordination efficiency. The case analysis shows that the EPC contracting mode can reduce the comprehensive cost by 10% -15% by integrating resources and optimizing the supply chain through digital twin technology, providing theoretical and practical support for construction enterprises to maximize economic benefits. The research results have reference value for improving the EPC project system and enhancing the anti-risk ability of the industry.","url":"https://doi.org/10.54254/2753-8818/2026.hz29411","authors":["Mingbo Gan"],"tags":["Procurement","Process (computing)","Key (lock)","Cloud computing","Mode (computer interface)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-11","doi":"https://doi.org/10.54254/2753-8818/2026.hz29411","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4280568637","name":"Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature","source":"openalex","abstract":"Abstract The fourth industrial revolution is shaping a new industrial landscape. A variety of technologies related to software, information and communication technologies embody a ubiquitous digital and connectivity era. These technologies enable the creation of new products with the integration of connectivity, data collection and processing capacities which require combining engineering disciplines. Increasing product multidisciplinarity compels companies to adapt their product development practices. The scientific literature offers a variety of concepts and techniques to support multidisciplinary product development. This paper seeks to organize the landscape of concepts and techniques available for multidisciplinary product development. An extensive literature review was conducted, and 236 concepts and techniques were identified. Multidisciplinary products of interest deal with both software and hardware development and can be encountered through the denominations of cyber-physical systems, mechatronics and smart products and systems. An in-depth analysis led to the classification and mapping, for each product denomination, of the concepts and techniques available to support their development. The classification relies on a four-level model paired with a decision tree to thoroughly sort the variety of concepts and techniques into the approach, process, method, and tool levels. The mapping between the sorted concepts and techniques enabled the generation of graphical representations called cartographies. These cartographies serve to support companies’ transformation towards the fourth industrial revolution from the product development perspective by giving a general overview of the related literature, and guiding them in the identification of the most suitable approaches, processes, methods and tools.","url":"https://doi.org/10.1007/s00163-022-00389-w","authors":["Julia Guérineau","Matthieu Bricogne","Louis Rivest","Alexandre Durupt"],"tags":["Variety (cybernetics)","Multidisciplinary approach","New product development","Computer science","Identification (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-05-17","doi":"https://doi.org/10.1007/s00163-022-00389-w","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7166850560","name":"Digital twin in the structure of the modern educational environment","source":"openalex","abstract":"In today's world, the advantage of digital twins is the ability to create copies of various physical objects, systems or learning environments, etc. This is especially true in engineering disciplines, where models of digital twins of a given accuracy provide research and experimentation without physical risks and significant financial costs. In the context of the educational environment, this means ensuring the effective functioning of virtual educational laboratories equipped with real equipment. The article develops an educational environment using a digital twin of a SMART laboratory, which functions as a cyber-physical system with end-to-end integration of a sensor network, actuators and a virtual model of the room. The purpose of the work is to theoretically substantiate and experimentally verify the educational environment, that includes a digital twin, focused on improving energy efficiency, comfort and safety of educational spaces. The methodological basis of the study includes system analysis, mathematical modelling of microclimate dynamics, as well as imperative control logic using typical regulators. Within the framework of the proposed architecture, a microclimate model has been developed that combines the subsystems of monitoring, forecasting and adaptive control. Actualization of the real and virtual state is carried out in real time, which provides the possibility of preliminary testing of control actions and assessment of their impact without risk to the material base. A series of simulations and experiments confirmed the ability of the developed system to reduce resource consumption and stabilize microclimate parameters under the influence of external disturbances. At the same time, the system maintains pedagogical flexibility, supporting various formats of organizing the educational process. The obtained results testify to the scientific novelty of the proposed approach, which consists in combining models and control systems with educational scenarios in a single software environment. The practical significance of the work is determined by the possibility of scaling the developed solution to other types of laboratories and academic disciplines, as well as the promoting the formation of digital competencies of future specialists in the field of information technology and cyber-physical systems.","url":"https://doi.org/10.17721/1812-5409.2026/1.32","authors":["Тетяна Савченко","Nataliia Lutska","Lidiia Vlasenko","Ivan Parkhomenko"],"tags":["Computer science","Control (management)","Context (archaeology)","Microclimate","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-05","doi":"https://doi.org/10.17721/1812-5409.2026/1.32","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7130605981","name":"Towards Digital Grids: Development of Power System Digital Twins","source":"openalex","abstract":"Power systems are undergoing a digital transition to achieve decarbonisation and net-zero targets. Information and communication technology (ICT) is being integrated into modern power systems to address unprecedented and emerging challenges. Enabled by advanced ICT solutions, digital twins (DTs) have become promising tools suited to current needs by offering numerous new modelling and analysis capabilities. A DT is a virtual representation of a physical counterpart that continuously reflects its behaviours while providing valuable insights to expand various applications. Advances in computing capabilities allow the DTs to synergise with artificial intelligence (AI) for practical implementations. This thesis aims to identify the opportunities between DT and AI, develop essential DT functionalities and design new DT-enhanced applications for power systems. The limitations of AI-based applications are identified and opportunities to integrate the DT and the AI within a unified framework are presented. A main barrier for the development of a complete DT with bi-directional interactions with its physical twin (PT), is the limited access to actual power systems with their associated models and data. Based on the virtual physical twin (VPT) concept, which serves as a replacement for actual power systems, a virtual testbed is introduced to promote the implementation of DTs. The VPT is utilised to provide online data flows to DTs and establish a realistic testing environment for complete DT-based solutions without affecting the normal operation of the PTs. DTs need adaptability to minimise deviations against their PTs. Unlike data-driven DTs adapted by AI techniques through incremental inclusion of new data, there is no complete method specifically tailored for adapting model-based power system digital twins (PSDTs) to changes in both system configurations and component parameters. To address this, a generic workflow is proposed to meet different requirements, including three main steps: i) initialisation to align with the starting point, ii) synchronisation to maintain real-time alignment, and iii) tuning to update of corresponding component parameters that are identified and estimated by AI-based solutions. The entire process is developed and tested through the VPT. Adaptation minimises the deviations between the two using reliable PT data. However, existing DTs directly use PT data for updates, putting the DT accuracy at risk, due to the lack of a mechanism to prevent the use of anomalous PT data prior to updates. A new DT functionality, based on a supervised learning Transformer-based approach, is proposed to detect anomalies in PT data for secure updates. Furthermore, suspending continuous updates upon receiving anomalous PT data compromises the reliability of DT, requiring a solution to address anomalous PT data. An unsupervised learning auto-encoder-based method is employed for PT data evaluation, comprising three main steps: i) detecting anomalies, ii) identifying specific anomalous values, and iii) correcting the identified values, to improve the trustworthiness of DT. Apart from the development and testing of key DT functionalities, two DT-based solutions are developed to enhance the reliability and efficiency of power system applications. i) A DT-based testbed supports the integration of AI solutions, considering not only offline accuracy and also online execution time to identify the most suitable algorithm for real-time transient stability assessment. ii) DTs are used for what-if scenario testing to better understand power system behaviours. Running DT instances in parallel reduces analysis time for different scenarios and improves decision-making efficiency. These contributions to advanced DT functionalities and DT-enhanced applications enable DT-based solutions within power systems, accelerating their digital transformation. The implementation of DTs is critical for ensuring the secure, reliable, and efficient operation ","url":"https://doi.org/10.26190/unsworks/32051","authors":["Zhiwei Shen"],"tags":["Adaptability","Testbed","Computer science","Electric power system","Information and Communications Technology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-19","doi":"https://doi.org/10.26190/unsworks/32051","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7162287315","name":"Digital Twin in Smart Manufacturing: A Systematic Literature Review on Predictive Decision-Making, Industrial Sustainability, and Process Optimization","source":"openalex","abstract":"The rapid advancement of Industry 4.0 has accelerated the adoption of Digital Twin (DT) technology in smart manufacturing systems. DT enables virtual replication of physical assets, supporting real-time monitoring, predictive analytics, simulation, and data-driven decision-making. This systematic literature review investigates the role of Digital Twin technology in predictive decision-making, process optimization, and industrial sustainability within smart manufacturing environments. The review synthesizes recent peer-reviewed studies from Scopus, Web of Science, and IEEE Xplore databases. Findings show that DT enhances operational efficiency through integration with machine learning, cyber-physical systems, and Industrial Internet of Things (IIoT), enabling improved maintenance strategies, energy efficiency, and production optimization. In addition, DT contributes to sustainability by reducing waste generation and supporting circular manufacturing practices. Despite its advantages, implementation challenges remain, including high deployment costs, interoperability issues, cybersecurity risks, and lack of data standardization. Overall, the study concludes that Digital Twin is a key enabling technology for future smart factories, particularly when integrated with artificial intelligence, edge computing, and cloud-based manufacturing systems.","url":"https://doi.org/10.66865/bdb53m45","authors":["Fathan Mubina Dewadi","Ahmad Royan","Muhammad Nurcholis","Muhammad Pratama"],"tags":["Interoperability","Software deployment","Smart manufacturing","Sustainability","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-24","doi":"https://doi.org/10.66865/bdb53m45","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4388623895","name":"Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future Mobility","source":"openalex","abstract":"IEEE TIV has received its 3251 manuscript submissions, which is nearly twice as many as that of last year, 236 submissions are still being reviewed in our system, and 18 are overdue for review scoring. I would like to express my sincere gratitude to all authors, reviewers, and editorial board members for your invaluable contributions and unwavering support. Your dedication has been instrumental in maintaining the high quality and great service of our journal and fostering a vibrant scholarly community [1], [2], [3], [4], [5], [6], [7].","url":"https://doi.org/10.1109/tiv.2023.3326636","authors":["Fei–Yue Wang","Chen Lv"],"tags":["Foundation (evidence)","Gratitude","Engineering ethics","Library science","Psychology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-01","doi":"https://doi.org/10.1109/tiv.2023.3326636","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160737931","name":"Concept of digital twins and their application to climate modeling","source":"openalex","abstract":"В статье рассматривается концепция программной платформы для создания самообучающихся цифровых двойников климатических явлений. Обосновывается необходимость преодоления ограничений традиционных статичных моделей, не способных адаптироваться к текущим условиям. Сформулированы три ключевых принципа построения: ассимиляция данных в реальном времени, редукция вычислительной сложности через клоновые модели и обеспечение физической согласованности прогнозов. Представлена архитектура программного решения на базе клиент-серверной модели и методы обновления цифровых двойников. Результаты работы направлены на повышение точности прогнозирования экстремальных погодных явлений и поддержку принятия решений.","url":"https://openalex.org/W7160737931","authors":["V. O. Tikhonenko","Е. Д. Ракицкий","Ю. А. Ёщик","А. В. Воробей"],"tags":["Computer science","Climate change","Environmental science","Remote sensing","Meteorology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7204475485","name":"Design and Development of an MIS Dashboard for a Battery Pack Manufacturing Facility A Management Information Systems Perspective on Executive Decision-Support in Indian Manufacturing","source":"openalex","abstract":"Battery pack manufacturing is a safety-critical, energy-intensive and economically sensitive process in the Indian manufacturing landscape. Operational data on production, quality, maintenance, cost, energy, inventory, traceability and environment are typically scattered across separate functional reports, delaying executive review and weakening cross-functional accountability. This paper presents the design and development of a plant-level Management Information System (MIS) dashboard for a commercial battery pack assembly plant. Using a Business Requirement Document (BRD), benchmarking and exploratory secondary research as primary inputs, the proposed dashboard integrates eight management dimensions: production/OEE, quality, maintenance, safety, cost/energy, traceability, inventory and environment, health and safety (EHS). Adopting a management-oriented design-science approach, the study benchmarks recent peer-reviewed literature (2021–2026) to derive KPI commonality, battery-specific measures, formula governance and Sustainable Development Goal (SDG) linkages. The central argument is that dashboard value is created not by visualization alone but by clearly defined KPI formulas, ownership, data-freshness rules, exception handling and traceability to source records. The result is a practical framework that turns distributed shop-floor data into a one-page decision-support system, with future scope for AI and digital-twin integration.","url":"https://doi.org/10.48175/ijarsct-38146","authors":["V. Rajashree, Dr. Rabuni Aishwarya, Dr. Arvind A. R.","Ajaykrishnan R. Harivignesh G."],"tags":["Dashboard","Traceability","Benchmarking","Scope (computer science)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-27","doi":"https://doi.org/10.48175/ijarsct-38146","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7199424348","name":"Towards a Smart City Digital Twin Methodology","source":"openalex","abstract":"Os Digital Twins (representações virtuais de objetos, sistemas ou processos) podem ser aplicados ao contexto urbano para apoiar o planeamento de serviços como o trânsito, a energia, a saúde ou a segurança.As soluções atuais tendem, no entanto, a focar-se em serviços isolados, não sendo concebidas para integrar múltiplos domínios numa única plataforma, o que limita o potencial do conceito quando aplicado a cidades inteligentes.Nesta dissertação propomos uma arquitetura que assegura a interoperabilidade entre módulos de simulação distintos e uma interface web unificada, permitindo configurar cenários, executar simulações e analisar resultados a partir de um único ponto de entrada.Sobre esta arquitetura foram integrados dois serviços: um módulo de trânsito, que permite simular o impacto de cortes de vias na rede viária, e um módulo de veículos elétricos, que otimiza a localização e configuração de postos de carregamento através de um algoritmo multi-objetivo, considerando o custo de infraestrutura e o tempo médio de espera.Os resultados obtidos no Porto mostram que a arquitetura permite avaliar de forma integrada o impacto de intervenções na rede de trânsito (incluindo o efeito em vias alternativas e no transporte público) e identificar configurações eficientes de infraestrutura de carregamento em cenários com múltiplos objetivos.A replicação da simulação de trânsito em Lisboa, através da simples substituição dos inputs, confirmou que a solução é adaptável a diferentes cidades sem necessidade de alterar os módulos de simulação.Estes resultados validam a arquitetura proposta como uma abordagem viável para a integração de múltiplos serviços urbanos num único Digital Twin, contrariando a tendência de soluções isoladas identificada na literatura, e abrem caminho à extensão da plataforma a outros domínios urbanos.","url":"https://openalex.org/W7199424348","authors":["Bernardo Dinis Guimarães Pinto"],"tags":["Computer science","Humanities","Physics","Context (archaeology)","Smart city"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-23","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7134939459","name":"DIGITAL TWINS AND MANAGEMENT: GLOBAL AND UKRANIAN EXPERIENCE","source":"openalex","abstract":"The article examines the experience of the emergence and development of digital twin technologies in the countries of the European Union and in Ukraine in the context of the digital transformation of the economy and management. It is shown that digital twins form the foundation of modern management systems, integrating tools for real-time data collection, processing, and analysis to enhance the efficiency of organizational processes. Their use contributes to increasing the accuracy of management decisions, optimizing business processes and ensuring the sustainability of enterprises in a minimal environment. The technological, economic, institutional and social factors that led to the active implementation of digital networks in the EU are analyzed, in particular within the framework of the strategic initiatives Digital Decade, Industry 4.0/5.0 and Green Deal. Special attention is paid to the current state and features of its development in Ukraine, where digital twins are considered as a tool for increasing management efficiency, planning infrastructure reconstruction and integration into the European digital space. It is noted that Ukrainian practice is transitioning to implementation at the stage of formation, but demonstrates positive dynamics due to projects in industry, energy, logistics and urban management. The emergence of the first national initiatives and pilot digital platforms creates the basis for the formation of a Ukrainian school of management based on digital twins. A comparative analysis of the level of implementation, scope and availability of official statistics in the EU and Ukraine was conducted. A significant difference in the scale and systematicity of digitalization processes was identified, which is explained by the difference in the level of digital maturity, financing and regulatory support. It is noted that for the successful development of digital twins in Ukraine, it is necessary to combine state support, institutional environment and international partnership. The conclusion is made about the high potential of using digital twins in Ukraine under the conditions of further development of digital infrastructure, regulatory framework and international cooperation. Digital twins are poised to become a key element in forming a new management culture centered on data, analytics, and predictive planning, as well as a vital factor in Ukraine’s integration into the European digital space. It is emphasized that aligning the national digital strategy with European initiatives creates the prerequisites for accelerating the digital transformation of management processes and increasing the competitiveness of Ukrainian enterprises.","url":"https://doi.org/10.32750/2026-0130","authors":["Hanna Zhaldak","Liubov Sluzhava"],"tags":["Digital transformation","European union","Scope (computer science)","Context (archaeology)","Ukrainian"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-10","doi":"https://doi.org/10.32750/2026-0130","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7167892364","name":"Machine Learning in Architectural Heritage Conservation: A Systematic Review and Thematic Synthesis of Applications, Challenges, and Future Directions","source":"openalex","abstract":"Machine learning (ML) is increasingly used in architectural cultural heritage conservation, but existing evidence remains fragmented across tasks, data types, and technical workflows. This systematic review synthesizes 33 studies on machine learning applications in architectural heritage conservation and identifies major application domains, methodological patterns, evidence gaps, and future research directions. Following a PRISMA-oriented review process, the literature was searched in Web of Science, Scopus, IEEE Xplore, ScienceDirect, SpringerLink, and Google Scholar up to 31 January 2026. Eligible studies were screened according to predefined inclusion and exclusion criteria, extracted using a structured coding form, and synthesized through qualitative thematic analysis. The included studies were grouped into three major domains: semantic understanding of heritage data, multi-scale damage detection and structural health monitoring, and system-level integration through heritage building information models (HBIM), multimodal data fusion, and digital twins. The evidence indicates a transition from isolated data-driven analysis toward predictive and decision-support systems, while persistent limitations remain in model generalization, benchmark datasets, semantic-to-HBIM transformation, multimodal fusion, and real-world deployment. Machine learning has substantial potential to support preventive, interpretable, and context-aware conservation, but future research requires more transparent reporting, shared datasets, external validation, and closer integration with conservation expertise.","url":"https://doi.org/10.3390/buildings16142745","authors":["Kaiming Li","Baitong Du","Dailuo Li","Liu Z","Xi Zhang","Haeyoon Kim"],"tags":["Computer science","Cultural heritage","Data science","Thematic map","Thematic analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"https://doi.org/10.3390/buildings16142745","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4327590925","name":"Xenon Difluoride Dry Etching for the Microfabrication of Solid Microneedles as a Potential Strategy in Transdermal Drug Delivery","source":"openalex","abstract":"Abstract Although hypodermic needles are a “gold standard” for transdermal drug delivery (TDD), microneedle (MN)‐mediated TDD denotes an unconventional approach in which drug compounds are delivered via micron‐size needles. Herein, an isotropic XeF 2 dry etching process is explored to fabricate silicon‐based solid MNs. A photolithographic process, including mask writing, UV exposure, and dry etching with XeF 2 is employed, and the MN fabrication is successfully customized by modifying the CAD designs, photolithographic process, and etching conditions. This study enables fabrication of a very dense MNs (up to 1452 MNs cm −2 ) with height varying between 80 and 300 µm. Geometrical features are also assessed using scanning electron microscopy (SEM) and 3D laser scanning microscope. Roughness of the MNs are improved from 0.71 to 0.35 µm after titanium and chromium coating. Mechanical failure test is conducted using dynamic mechanical analyzer to determine displacement and stress/strain values. The coated MNs are subjected to less displacement (≈15 µm) upon the applied force. COMSOL Multiphysics analysis indicates that MNs are safe to use in real‐life applications with no fracture. This technique also enables the production of MNs with distinct shape and dimensions. The optimized process provides a wide range of solid MN types to be utilized for epidermis targeting.","url":"https://doi.org/10.1002/smll.202206510","authors":["İsmail Eş","Abdullah Kafadenk","M. Burak Gormus","Fatih İnci"],"tags":["Transdermal","Materials science","Microfabrication","Xenon difluoride","Drug delivery"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-03-16","doi":"https://doi.org/10.1002/smll.202206510","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160975168","name":"Digital twin of a robotic GMAW welding process","source":"openalex","abstract":"This thesis studies the application of digital twin technology in robot welding systems. Firstly, through a literature review, the theoretical distinctions among digital models, digital shadows, and digital twins are made, and it is emphasized that bidirectional data interaction is the core feature of digital twins. Based on this, a robot welding system integrating the physical layer and the virtual layer was constructed. The virtual environment was built using Visual Components and SolidWorks, and real-time data communication was achieved through OPC UA. MATLAB was utilized to monitor and record the current, voltage, and wire feeding speed during the welding process. The system was verified through two sets of experiments: Experiment 1 was conducted under normal conditions with protective gas, while Experiment 2 introduced controlled faults by removing the protective gas. The results showed that the system was capable of accurately capturing and reflecting the real-time changes during the welding process. The research has verified the feasibility of digital twins in the welding system, while also pointing out that the system still has deficiencies in achieving complete two-way control.","url":"https://openalex.org/W7160975168","authors":["Hongbo Wang"],"tags":["Welding","Robot welding","Process (computing)","Robot","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7162526769","name":"Challenges of digital twin applications for radio telescopes","source":"openalex","abstract":"Large-aperture, high-frequency radio telescopes are prone to structural deformation under the influence of gravity, temperature, wind load and other environmental factors, which in turn affects the shape of the main reflector and pointing accuracy. Therefore, this paper systematically reviews the virtual-real fusion diagnosis mechanism and application progress of digital twins in radio telescopes. Firstly, the differences and boundaries between digital twins and traditional digital simulation and state monitoring are clarified. Then, the methods in FAST, QTT, and other projects are summarized, and the current main challenges such as multi-source heterogeneous and multi-scale fusion, robust prediction under model uncertainty and real-time constraints, as well as communication delay and system complexity in engineering implementation are summarized. Looking to the future, in order to improve environmental adaptability and high-frequency observation capabilities, combined with deep learning, a mechanism-data deeply coupled digital twin model is constructed to provide new ideas and paths for the robust operation and performance improvement of the next generation of radio telescopes.","url":"https://doi.org/10.1360/sspma-2025-0491","authors":["Chen FENG","YuanJie LIU","Anyu CHENG","Yong Chen"],"tags":["Adaptability","Computer science","Radio telescope","Reflector (photography)","Digital radio"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-27","doi":"https://doi.org/10.1360/sspma-2025-0491","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7168080651","name":"Digital Twins in Education: Conceptual Foundations, Applications and Challenges","source":"openalex","abstract":"Abstract Although originally developed as part of an industry, digital twin (DT) technologies are now being adapted for education. Digital twins (DTs) can integrate artificial intelligence, Internet of Things technologies, learning analytics and immersive environments to model learners, learning processes and educational settings in a dynamic and data-informed manner. This paper conducts a review of academic articles between 2020 and 2026 to ascertain definitions, application areas, and areas regarding integration between humans and technology to better understand how DTs can be integrated in educational settings. Personalised learning, simulation-based training and immersive learning settings created using DT technology have shown to provide benefits to both educators and learners in terms of enhanced adaptability, engagement and improved decision-making based on the results of research studies. There are several significant barriers to widespread adoption of DT in education, including the technical complexity of implementation, high implementation costs, data privacy issues, and lack of a research-based pedagogical framework. The paper contributes by proposing a classification of educational digital twins according to the entity being modelled. Although the potential for DTs to transform education is great, further research is needed to develop standardized models to ensure DTs are successfully integrated into the teaching and learning process.","url":"https://doi.org/10.2478/kbo-2026-0062","authors":["Fabiana-Georgiana Zeicu","Ilie Gligorea","Hortensia Gorski"],"tags":["Computer science","Learning analytics","Data science","Educational technology","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.2478/kbo-2026-0062","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7163817112","name":"Environmental Digital Twins: a review of challenges and opportunities","source":"openalex","abstract":"Digital Twin (DT) technology has emerged as a transformative paradigm for environmental monitoring, modelling, and sustainability governance, yet its development across ecological and territorial domains remains fragmented and unevenly documented in the literature. This review provides a systematic mapping of Ecological Digital Twin (EcoDT) and Environmental Digital Twin applications published between 2020 and 2025, analysing a corpus of 121 peer-reviewed studies spanning urban environments, agriculture, marine and coastal systems, river and lake networks, forestry, ecology, glaciers, Earth system science, and building sustainability. Drawing on a structured analytical matrix , the review focuses on Technology Readiness Level (TRL), remote sensing integration, data-related challenges, and future development priorities, interrogating Dts technological maturity, sustainability framing, and data readiness in practice. Results reveal a field in active but early-stage development: the TRL distribution is concentrated between levels 2 and 6, with no study in the corpus reaching deployment-ready status, and sustainability framing remains predominantly environmental in orientation, with social and economic co-benefits systematically underrepresented across nearly all application themes. Integration, interoperability, and calibration emerge as the most pervasive and structurally recurring technical constraints. Scaling and deployment, alongside governance and institutional alignment, dominate the stated future priorities of reviewed studies. The review concludes by advocating for the adoption of F.A.I.R., C.A.R.E., and T.R.U.S.T. data governance principles as a foundational framework for advancing EcoDTs and Environmental DTs towards integrated, equitable, and policy-relevant implementation at territorial and ecosystem scales.","url":"https://doi.org/10.54941/ahfe1007273","authors":["Letizia Artioli","Giovanni Borga","Pietro Costa"],"tags":["Sustainability","Corporate governance","Framing (construction)","Transformative learning","Environmental governance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.54941/ahfe1007273","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7165500253","name":"Platform for Digital Twin Operational Data Sharing","source":"openalex","abstract":"This master’s thesis deals with the design, implementation and experimental testing of a data transport platform for operational data of a vehicle digital twin. The aim of the work was to create a system enabling active collection, transport and sharing of operational data between external devices and software, both in pseudo-real time and also for postprocessing after the measurement. The theoretical part provides an overview of the current state of digital twins, data acquisition and transport, as well as industrial and network communication protocols. In the practical part, data transport architecture was designed and implemented. This transport platform consists of the DEWESOFT Sirius XHS DAQ system, DEWESoftX software with XCP and Modbus TCP/IP protocols, a custom Python application using pyXCP library for communication control, and a virtual private server with InfluxDB v2, Grafana as visualization platform, Telegraf program and WireGuard VPN solution. Operational data were stored in HDF5 format and subsequently shared to external environments. Experimental measurements confirmed the match between data acquired via XCP and the native DEWESoftX recordings. The proposed platform provides a functional foundation for further development towards a full-featured vehicle digital twin.","url":"https://openalex.org/W7165500253","authors":["Alexander Práznovský"],"tags":["Python (programming language)","Modbus","Computer science","Data sharing","Data acquisition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160873913","name":"Identifying and characterising uncertainty in digital twin engineering","source":"openalex","abstract":"Digital twin technologies are increasingly deployed in complex industrial systems where uncertainty management is critical to ensure their reliability, robustness, and resilience. However, there is currently limited literature on the management of uncertainties for digital twins, and even less a structured framework for a better understanding of the uncertainties, focusing on the identification and characterisation of uncertainties within the context of digital twin engineering. In this work, a conceptual framework is proposed, structured around three key pillars: a conceptual model, a lifecycle, and maturity levels of the digital twin. A systematic literature review, following the PRISMA methodology, is conducted to identify and map four major categories of uncertainty across these pillars. The findings show how uncertainty types correspond to the 5D conceptual model of the digital twin, at which lifecycle stages they become most critical, and how they evolve as the digital twin progresses towards higher maturity levels. The proposed framework positions uncertainty characterisation as a core engineering principle of digital twins, paving the way for future research on structuring uncertainty management across digital twin engineering practices.","url":"https://doi.org/10.1080/27525783.2026.2668886","authors":["Bouthayna El Bouzaidi Tiali","Stephen Creff","Achraf Kallel","Nabil Anwer"],"tags":["Computer science","Identification (biology)","Data mining","Engineering","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-11","doi":"https://doi.org/10.1080/27525783.2026.2668886","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4399803312","name":"The Future of Healthcare","source":"openalex","abstract":"The Internet of Medical Things (IoMT) has transformed healthcare by enabling medical devices to connect and exchange information through the Internet. The convergence of artificial intelligence (AI), machine learning (ML), and IoMT has resulted in the artificial intelligence of the Internet of Medical Things (AIoMT) paradigm, which has immense potential in healthcare delivery. This chapter provides an overview of how AIoMT is transforming the healthcare industry and unlocking the full potential of IoMT. It also reviews the cybersecurity aspects of this rapid technological advancement, including different cyber-attacks and threats, suggested countermeasures, and future directions. AIoMT has revolutionized healthcare by integrating AI and ML with IoMT, providing better diagnosis, treatment, and patient care. Through advanced data analytics and automation, AIoMT has the potential to enhance the diagnosis, treatment, and prevention of diseases as well as improve patient outcomes and reduce costs. For AIoMT to reach its full potential, it is crucial to collaborate and coordinate between healthcare providers, data scientists, and technology experts. AIoMT is not just a catchphrase but a game-changer in the healthcare industry. Lastly, to ensure the safety and security of patients’ data, it is necessary to address the cyber-related challenges associated with AIoMT.","url":"https://doi.org/10.1002/9781394234196.ch19","authors":["Wasswa Shafik"],"tags":["Health care","Computer science","Economics","Economic growth"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-19","doi":"https://doi.org/10.1002/9781394234196.ch19","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7204094905","name":"Digital Twin composition through causal analysis","source":"openalex","abstract":"Digital Twins (DTs) are often engineered as modular models, but in real deployments they operate as interconnected subsystems whose variables influence each other. Composing DTs requires recovering cross-module dependencies interpretably and reusably. Causal discovery methods like the Independent Component Analysis-based Linear Non-Gaussian Acyclic Model (ICA-LiNGAM) are attractive for this, inferring directed acyclic graphs (DAGs) from observational data under linear, non-Gaussian assumptions; however, when extending an initially known causal structure with additional candidate variables, purely noisy or irrelevant signals can severely degrade LiNGAM’s separation step, producing spurious edges and unstable graphs. This paper proposes NA-LiNGAM (Noise-Aware LiNGAM), a LiNGAM-based algorithm applied to DT composition that screens candidate variables before integrating them into the causal graph. NA-LiNGAM augments ICA-LiNGAM with a graph validation score quantifying edge robustness through three statistical checks: (i) conditional regression significance, (ii) permutation-based significance, and (iii) bootstrap stability. Using this score, NA-LiNGAM selects new variables that improve graph fidelity while discarding noise. We also introduce a fast variant reducing search complexity from exponential to linear. We validate NA-LiNGAM on synthetic benchmarks and real-world datasets, using Area Under the Curve for Precision-Recall (AUC-PR), Structural Hamming Distance (SHD), and Structural Intervention Distance (SID). Results show NA-LiNGAM substantially reduces spurious edges and preserves the true causal structure under high-noise settings, yielding more stable compositions than baseline LiNGAM and competitive performance against state-of-the-art methods.","url":"https://doi.org/10.1016/j.engappai.2026.116031","authors":["Sergio Martín-Albo","Luis Llopis","Manuel Díáz","Cristian Martín"],"tags":["Spurious relationship","Computer science","Directed acyclic graph","Robustness (evolution)","Causal structure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-24","doi":"https://doi.org/10.1016/j.engappai.2026.116031","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7150078377","name":"SAP Intelligent Manufacturing Enabled By AI, IoT, And Cloud-Based Machine Learning Models","source":"openalex","abstract":"This review article investigates the integration of SAP Digital Manufacturing with IoT and cloud-based machine learning to achieve intelligent, self-optimizing production environments. As the manufacturing sector transitions toward mass customization and Industry 4.0, the synergy between the S/4HANA digital core and edge computing becomes critical for maintaining real-time operational agility. The research evaluates architectural frameworks that enable a seamless digital thread from the enterprise planning layer to the shop floor, focusing on the role of SAP Business Technology Platform in orchestrating high-frequency IoT data. Key methodologies examined include the application of Time-Series analysis for predictive maintenance and the use of Deep Learning architectures, such as Convolutional Neural Networks, for automated computer vision-based quality inspection. Furthermore, the article analyzes the strategic implementation of Digital Twins to simulate production scenarios and optimize resource utilization. The study addresses technical constraints related to legacy equipment integration, data quality at the edge, and the necessity for zero-trust cybersecurity in connected factories. The review concludes that the shift toward agentic manufacturing workflows and quantum-enhanced scheduling is essential for global enterprises seeking to achieve the dual goals of high-efficiency production and ESG-compliant sustainability in 2026.","url":"https://doi.org/10.5281/zenodo.19427850","authors":["Ravindu S. Dissanayake"],"tags":["Industry 4.0","Workflow","Computer science","Mass customization","Personalization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-23","doi":"https://doi.org/10.5281/zenodo.19427850","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4410381364","name":"Smart Procurement in the Sports Industry: A Strategic Approach for Efficiency and Performance Enhancement","source":"openalex","abstract":"The global sports industry, valued at over $600 billion, encompasses a vast network of procurement activities, ranging from player equipment and stadium operations to event logistics and merchandising. Traditional procurement in sports has been plagued by inefficiencies, including fragmented supplier networks, manual processes, and inconsistent pricing models. As the sports industry continues its digital transformation, smart procurement is no longer an option but a necessity. The integration of AI, blockchain, IoT, and sustainable sourcing practices is set to redefine sports procurement, ensuring greater efficiency, cost-effectiveness, and long-term resilience. This research examines the role of smart procurement technologies in revolutionizing procurement strategies for sports teams, stadiums, and major sporting events. AI-driven procurement platforms leverage machine learning models for supplier selection, demand forecasting, and automated contract negotiation. Empirical evidence demonstrates that smart procurement adoption in sports can reduce procurement cycle times by 40% (industry report), achieve cost savings of up to 20% (industry report), and improve overall supply chain resilience (industry report). Real-world case studies, such as PUMA’s AI-driven merchandising optimization, Tokyo 2020’s sustainable procurement framework, and Mercedes-Benz Stadium’s IoT-powered beverage tracking, highlight the measurable impact of digital procurement strategies. Despite its advantages, challenges such as high initial investment costs, data security risks, AI bias in supplier selection, and regulatory compliance pose barriers to widespread adoption. This paper also provides actionable insights into overcoming the challenges and explores future trends, including AI-powered predictive analytics, robotics in stadium operations, circular economy initiatives, and blockchain-integrated fan engagement strategies.","url":"https://doi.org/10.4236/ojbm.2025.133090","authors":["Prajkta Waditwar"],"tags":["Procurement","Business","Industrial organization","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.4236/ojbm.2025.133090","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4403189920","name":"The Role of Complex Systems in Predictive Analytics for E-Commerce Innovations in Business Management","source":"openalex","abstract":"This review explores the incorporation of complex systems theory into predictive analytics in the e-commerce sector, particularly emphasizing recent advancements in business management. By analyzing the intersection of these two domains, the review emphasizes the potential of complex systems models—including agent-based modeling and network theory—to improve the precision and efficacy of predictive analytics. It will provide a comprehensive overview of the applications of emergent predictive analytics techniques and tools, including real-time data analysis and machine learning, in inventory optimization, dynamic pricing, and personalization of customer experiences. In addition, this review will suggest future research directions to advance the discipline and address the technical, ethical, and practical challenges encountered during this integration phase.","url":"https://doi.org/10.3390/systems12100415","authors":["Mitra Madanchian"],"tags":["Analytics","Business analytics","Predictive analytics","Business intelligence","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-05","doi":"https://doi.org/10.3390/systems12100415","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7172225358","name":"A Digital Twin for Brake Wear Predictive Maintenance","source":"openalex","abstract":"Brake pad wear is governed by coupled thermo-mechanical interactions in which degradation alters braking behaviour. This altered braking behaviour, in turn, affects vehicle dynamics, which, in turn, influences future wear evolution. Existing diagnostic and prognostic approaches typically neglect this dynamics–wear coupling, potentially limiting their ability to accurately predict remaining useful life under evolving operating conditions. This work proposes a digital-twin framework for brake wear prognosis that integrates state estimation, parameter adaptation, and dynamics-aware degradation modelling. The approach combines brake pad volume estimation from vehicle operational data, online identification of the brake wear coefficient through inverse modelling, and forward propagation of degradation using a wear-dependent dynamics model. The proposed digital-twin predictive maintenance framework is evaluated using simulated run-to-failure datasets for a mining load-haul-dumper and compared against data-driven and physics-based predictive maintenance models. Results show that the digital-twin approach improves the accuracy and stability of remaining useful life prediction, particularly under anomalous degradation conditions, and achieves earlier convergence to practically useful predictions. These findings demonstrate that accurate brake wear prognosis requires integrating degradation modelling with vehicle dynamics and online parameter updating. The proposed digital twin provides a practical pathway towards more reliable predictive maintenance in systems where degradation and system behaviour are strongly coupled.","url":"https://doi.org/10.3390/mca31040146","authors":["Luke van Eyk","Johannes Moes","B. R. Ellis","Stephan Schmidt","P. Stephan Heyns"],"tags":["Brake","Predictive maintenance","Stability (learning theory)","Computer science","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.3390/mca31040146","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4288445090","name":"A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles","source":"openalex","abstract":"Abstract As fixed-wing unmanned aerial vehicles (FW-UAVs) are used for diverse civil and scientific missions, failure incidents are on the rise. Recent rapid developments in deep learning (DL) techniques offer advanced solutions for fault diagnosis of unmanned aerial vehicles. However, most existing DL-based diagnostic models only perform well when trained on massive amounts of labeled data, which are challenging to collect due to the complexity of the FW-UAVs systems and service environments. To address these issues, this paper presents a novel framework, Siamese hybrid neural network (SHNN), to achieve few-shot fault diagnosis of FW-UAVs in an intelligent manner. “State map” strategy is firstly proposed to transform raw flight data into similar and dissimilar sample pairs as input. The proposed SHNN framework consists of two identical networks that share weights with each other, and each subnetwork is designed with a hybrid one-dimensional conventional neural network and long short-term memory model as feature encoder, whose generated feature embedding is used to measure the similarity of input pairs via a distance function in the metric space. In comprehensive experiments on a real flight dataset of an FW-UAV, the SHNN framework achieves competitive results compared to other models, demonstrating its effectiveness in both binary and multi-class few-shot fault diagnosis.","url":"https://doi.org/10.1093/jcde/qwac070","authors":["Chuanjiang Li","Shaobo Li","Ansi Zhang","Lei Yang","Enrico Zio","Michael Pecht","Konstantinos Gryllias"],"tags":["Artificial intelligence","Artificial neural network","Computer science","Fault (geology)","Feature (linguistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-28","doi":"https://doi.org/10.1093/jcde/qwac070","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7167692015","name":"Supporting Cryptographic Migration with an IT Infrastructure Digital Twin","source":"openalex","abstract":"Modern IT infrastructures are composed of heterogeneous services with complex dependencies and security configurations. During migration or modernization efforts, incomplete or outdated knowledge about communication relationships, protocol usage, and cryptographic dependencies represents a major source of risk. This paper presents an approach for the automated construction of a graph-based digital twin of an IT infrastructure, developed using Design Science Research (DSR). It collects data in transit using a dedicated, extensible processing pipeline that extracts, parses, and transforms network-, protocol-, and cryptography-level information into a unified graph representation. The resulting digital twin is implemented using a graph database, enabling interactive exploration through graph queries and visualizations. The graph-based model explicitly represents communication relationships, protocols, and associated cryptographic properties, allowing heterogeneous infrastructure information to be integrated into a coherent schema. Based on this representation, the digital twin is the first solution that supports the cataloging and analysis of cryptographic mechanisms including dependencies, providing a structured foundation for post-quantum cryptography (PQC) migration planning and improved cryptographic agility in complex IT environments.","url":"https://doi.org/10.1007/978-3-032-28946-9_3","authors":["Daniel Herzinger","Christian Näther","Stefan-Lukas Gazdag"],"tags":["Computer science","Cryptography","Computer security","World Wide Web","Digital signature"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-28946-9_3","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2990065819","name":"Temperature-Independent Gas Pressure Sensor with High Birefringence Photonic Crystal Fiber-Based Reflective Lyot Filter","source":"openalex","abstract":"A novel temperature-independent gas pressure sensor based on a reflective fiber Lyot filter is presented in this paper. The reflective fiber Lyot filter is simply consist of a fiber polarizer and a segment of hollow-core photonic bandgap fiber (HB-PCF). The HB-PCF plays the role of birefringent cavity in the reflective fiber Lyot filter and works as the sensor head in the gas pressure sensor. Experiment results show that the responses of the sensor to gas pressure and temperature are 3.94 nm/MPa and -0.009 nm/°C, indicating that the proposed gas pressure is sensitive to gas pressure rather than temperature. Coupled with the advantages of simple structure, easy manufacture, high sensitivity and temperature independent, the proposed reflective fiber Lyot filter-based gas pressure sensor holds great potential application in the field of gas pressure monitoring.","url":"https://doi.org/10.3390/s19235312","authors":["Bo Huang","Ying Wang","Chun Mao"],"tags":["Materials science","Polarizer","Photonic-crystal fiber","Birefringence","Optics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-12-02","doi":"https://doi.org/10.3390/s19235312","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W1595210499","name":"Flow and Noise Control: Review and Assessment of Future Directions","source":"openalex","abstract":"Technologies for developing radically new aerovehicles that would combine quantum leaps in cost, safety, and performance benefits with environmental friendliness have appeared on the horizon. This report provides both an assessment of the current state-of-the-art in flow and noise control and a vision for the potential gains to be made, in terms of performance benefit for civil and military aircraft and a unique potential for noise reduction, via future advances in flow and noise technologies. This report outlines specific areas of research that will enable the breakthroughs necessary to bring this vision to reality. Recent developments in many topics within flow and noise control are reviewed. The flow control overview provides succinct summaries of various approaches for drag reduction and improved maneuvering. Both exterior and interior noise problems are examined, including dominant noise sources, physics of noise generation and propagation, and both established and proposed concepts for noise reduction. Synergy between flow and noise control is a focus and, more broadly, the need to pursue research in a more concurrent approach involving multiple disciplines. Also discussed are emerging technologies such as nanotechnology that may have a significant impact on the progress of flow and noise control.","url":"https://openalex.org/W1595210499","authors":["Russell H. Thomas","Meelan M. Choudhari","R. D. Joslin"],"tags":["Noise (video)","Noise control","Noise reduction","Computer science","LEAPS"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2002-04-01","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7135176902","name":"Robots and Intelligent Agents for Product Creation and Manufacturing in Sustainable Digitalized Manufacturing Systems","source":"openalex","abstract":"Abstract The work presented the development, implementation, and quantitative evaluation of a Digitalized Operation of Sustainable Production System (DOSPS), which is an intelligent, cyber-physical manufacturing architecture that combines robotics, digital twins (DTs), and multi-agent systems (MAS) to achieve autonomous, adaptive, and sustainable production. The system consists of three interrelated layers: physical (robots, sensors, and actuators), cyber (digital twins and simulation environments), and cognitive (distributed intelligent agents). A hybrid edge-cloud control topology provides real-time synchronization of physical assets and virtual counterparts with latency of less than 50 ms. Empirical validation in a robotic assembly cell revealed considerable performance advantages over conventional setups: cycle time was decreased by 23.8%, energy consumption by 28.1%, defect rate by 66.7%, and downtime by 57.1%, boosting the Sustainability Index (SI) from 0.65 to 0.87. Regression study found a significant negative connection (r = -0.94) between energy usage and sustainability, indicating that energy efficiency is the primary sustainability driver. Predictive maintenance increased component lifetime by 20%, while multi-agent coordination reached consensus in under 1.5 seconds, demonstrating real-time cooperative control capacity. The DOSPS model thus demonstrates a scalable, learning-based framework that integrates digital intelligence and robotic automation to accomplish the aim of self-sufficient and sustainable Industry 5.0 manufacturing.","url":"https://doi.org/10.1088/1757-899x/1342/1/012043","authors":["Rajesh Maharudra Patil","Magnus Löfstrand"],"tags":["Robot","Engineering","Downtime","Energy consumption","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.1088/1757-899x/1342/1/012043","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7130481823","name":"Quantum Computing for Healthcare Digital Twin Systems","source":"openalex","abstract":"The growing complexity of healthcare systems requires advanced computational models for real-time monitoring, secure data exchange, and intelligent decision-making. Digital Twins (DTs) provide virtual representations of physical healthcare entities, enabling continuous patient monitoring and personalized care. However, classical DT frameworks face limitations in scalability, computational efficiency, and security. Recent studies have introduced Quantum Digital Twins (QDTs) to enhance performance through quantum computing, addressing challenges such as quantum-resistant security and efficient task offloading in healthcare environments. Despite these advances, most existing QDT models remain constrained by fundamental challenges related to quantum hardware limitations, hybrid classical-quantum system integration, cloud-based quantum access, scalability, and clinical trust. This paper provides a comprehensive review of QDTs for healthcare, with a particular focus on identifying and analyzing the key challenges that currently hinder their real-world adoption. Furthermore, it outlines critical research directions and enabling strategies aimed at advancing the development of secure, reliable, and clinically viable quantum digital twin systems for next-generation healthcare applications.","url":"https://openalex.org/W7130481823","authors":["Asma Taheri Monfared","Andrea Bombarda","Angelo Gargantini","Majid Haghparast"],"tags":["Computer science","Key (lock)","Quantum computer","Task (project management)","Focus (optics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-17","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7204172572","name":"Physics‐informed neural network (PINN)‐embedded digital twinning for manufacturing sustainability: A framework for intelligent and adaptive process systems","source":"openalex","abstract":"Abstract Advanced manufacturing comes into the digital age. Among strategic digital technologies, digital twin (DT) technology has been increasingly applied in industry. A more recent advancement in DT technology is the integration of physics‐informed neural networks (PINNs) in digital twinning, which enables the construction of a robust virtual plant. By leveraging real‐time data from a connected physical plant, the PINN‐based DT supports sustainability assessment, optimizes design and operation, predicts sustainability challenges, and identifies best possible technical solutions. In this paper, a PINN‐embedded modular DT framework is introduced for sustainable manufacturing. The PINNs are used to dynamically adjust key parameters in DT modules. This allows the resulting digital plant to be self‐evolving and capable of accurately mirroring, predicting, and improving the plant's sustainability performance. It also facilitates reconfiguring processes, where sustainability metrics are incorporated into process design. The methodological efficacy is demonstrated by developing and operating sustainable cleaning‐rinsing systems in electroplating plants.","url":"https://doi.org/10.1002/aic.70611","authors":["Mahboubeh Moghadasi","Yinlun Huang"],"tags":["Sustainability","Modular design","Process (computing)","Key (lock)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-25","doi":"https://doi.org/10.1002/aic.70611","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7162289409","name":"Autonomous Smart Manufacturing Systems in the Era of Industry 5.0: A Systematic Review of AI-Driven Decision Intelligence and Industrial Optimization","source":"openalex","abstract":"The emergence of Industry 5.0 has accelerated the transformation of manufacturing industries toward autonomous, intelligent, and human-centric production systems. Smart manufacturing technologies increasingly integrate Artificial Intelligence (AI), Internet of Things (IoT), Digital Twin, and Cyber-Physical Systems (CPS) to support predictive decision-making and industrial optimization. This study aims to analyze the development of autonomous smart manufacturing systems through a systematic literature review approach. The review process followed the PRISMA methodology using publications indexed in Scopus, Web of Science, and Google Scholar from 2016–2026. The results indicate that AI-driven manufacturing systems significantly improve predictive maintenance, operational efficiency, production flexibility, and industrial sustainability. However, challenges related to cybersecurity, infrastructure readiness, implementation costs, and ethical AI governance remain significant barriers. This study concludes that autonomous smart manufacturing systems possess strong potential to support intelligent and sustainable industrial transformation in the Industry 5.0 era.","url":"https://doi.org/10.66865/xv9yr868","authors":["Ade Suhara","Dibyo Setiawan","Fathan Mubina Dewadi","Fisika Putra","Gunawan Musyaffa","Surotun Nabawiyah"],"tags":["Industry 4.0","Smart manufacturing","Manufacturing engineering","Digital transformation","Advanced manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-24","doi":"https://doi.org/10.66865/xv9yr868","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7162684341","name":"Digital twins. The future of personalized epilepsy care","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.yebeh.2026.111142","authors":["Alan Leviton","Tobias Loddenkemper"],"tags":["Epilepsy","Medicine","Psychiatry","MEDLINE","Intensive care medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-28","doi":"https://doi.org/10.1016/j.yebeh.2026.111142","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4416383404","name":"A Multi-Simulation Bridge for IoT Digital Twins","source":"openalex","abstract":"The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, and real-time operation. This paper introduces the concept, design, and experimental evaluation of the DT Simulation Bridge - a software framework that enables diverse interaction patterns between active DTs and simulation environments. The framework supports both the DT development lifecycle and the incorporation of simulations during active operation. Through bidirectional data exchange, simulations can update DT models dynamically, while DTs provide real-time feedback to adapt simulation parameters. We describe the architectural design and core software components that ensure flexible interoperability and scalable deployment. Experimental results show that the DT Simulation Bridge enhances design agility, facilitates virtual commissioning, and supports live behavioral analysis under realistic conditions, demonstrating its effectiveness across a range of industrial scenarios.","url":"https://doi.org/10.1109/percomworkshops68308.2026.11585411","authors":["Marco Picone","Samuele Burattini","Marco Melloni","Prasad Talasila","Davide Ziglioli","Matteo Martinelli","Nicola Bicocchi","Peter Gorm Larsen"],"tags":["Interoperability","Bridge (graph theory)","Scalability","Computer science","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-16","doi":"https://doi.org/10.1109/percomworkshops68308.2026.11585411","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4285590154","name":"Smart factory floor safety monitoring using UWB sensor","source":"openalex","abstract":"Abstract Chemical asphyxiation at petrochemical factories can provoke the unconsciousness or death of factory workers through suffocation. Some chemicals vaporize and mix with air without showing any warning properties that raise the risk of oxygen deficiency. In light of this, Industry 5.0 focuses more on human‐centricity than technology‐driven implementations to ensure secured and work‐friendly environments in industries. Recently, research on factory safety management dependent on the Internet of things (IoT) sensors have been executed unwaveringly. In this work, the ultra‐wideband (UWB) sensor is adopted to recognize the motion and breathing pattern of workers in smart factory scenarios. After capturing the data from the UWB sensor in real‐time, the proposed dataset is further inspected by the deep learning (DL) and traditional machine learning (ML) approaches. Twofold detection schemes are considered where the movement and vital patterns are distinguished first by the stacked ensemble (SE) and the long short‐term memory (LSTM) frameworks. The Bayesian optimized ensemble learning (EL) and bidirectional (Bi‐LSTM) models are further occupied to analyze abnormalities in the breathing rate of a worker in the smart shop floors. The investigated outcome shows that the DL frameworks (LSTM and Bi‐LSTM) outperformed the others by acquiring 99.90% and 99.94% accuracy in 147 s and 293 s, respectively. The devised perception indicates prominent attainment to the smart factory shop floor, Internet of medical things (IoMT), the smart city paradigm, and e‐health appliances.","url":"https://doi.org/10.1049/smt2.12114","authors":["Fabliha Bushra Islam","Jaemin Lee","Dong‐Seong Kim"],"tags":["Factory (object-oriented programming)","Computer science","Electrostatic discharge","Engineering","Embedded system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-15","doi":"https://doi.org/10.1049/smt2.12114","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7133677635","name":"Integration of Digital Twin Technology and Industry 4.0 Principles for Real-Time Structural Health Monitoring in Smart Manufacturing Facilities","source":"openalex","abstract":"Within Industry 4.0 manufacturing environments, Structural Health Monitoring (SHM) is recognized as mission-critical; nevertheless, extant Digital Twin (DT) implementations seldom achieve deep fusion with the production layer and consequently struggle to co-optimize structural integrity alongside operational efficiency. This paper therefore introduces, and subsequently validates, an integrated DT framework expressly conceived to close that lacuna. Four objectives guided the inquiry: first, to architect a distributed digital-twin topology underpinned by edge–cloud analytics capable of real-time SHM; second, to operationalize a machine-learning-driven predictive-maintenance regime that causally couples structural response data with both manufacturing process signatures and ambient environmental variables; third, to embed the resultant framework within incumbent MES/ERP ecosystems spanning multiple production facilities; and fourth, to quantify the concomitant reductions in maintenance expenditure, production downtime, and energy utilization. A longitudinal, 24-month, multi-site investigation furnished empirical corroboration. The framework couples a high-fidelity DT to legacy MES/ERP strata through a distributed edge-cloud fabric; an ensemble of machine-learning algorithms—Long Short-Term Memory networks prominent among them—was deployed for predictive anomaly detection. The system attained 96 % anomaly-detection accuracy (F1-score: 0.95) and translated this diagnostic precision into demonstrable operational gains: maintenance costs fell by 42.1 %, downtime by 31.1 %, and energy intensity by 23.2 % (p < 0.001). The edge-centric architecture reduced processing latency by 67 %, thereby enabling sub-50 ms integration with MES/ERP layers, while inter-site model transfer achieved 94.0 % adaptation efficacy. These findings substantiate the contention that principled integration of DTs with Industry 4.0 paradigms furnishes a transformative yet pragmatic pathway for manufacturing-oriented SHM. The framework’s verified capacity to enhance prognostic fidelity while simultaneously yielding sizeable operational dividends delineates a clear trajectory toward more resilient and resource-efficient industrial assets.","url":"https://doi.org/10.24867/ijiem-400","authors":["Salim Davlatov","Alisher Zayniyev","Javohir Zokirov","Matluba Temirova","Shohistahon Uljaeva","Xudaybergan Xudayberganov","Inomjon Matkarimov","Chu Van Truong"],"tags":["Downtime","Operationalization","Industry 4.0","Engineering","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-01","doi":"https://doi.org/10.24867/ijiem-400","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4406015793","name":"Blockchain in the banking industry: Unravelling thematic drivers and proposing a technological framework through systematic review with bibliographic network mapping","source":"openalex","abstract":"Abstract In the new era of adopting and managing new and robust technologies in banking, the use of blockchain technology has significantly transformed overall banking systems. To add new insights to the body of existing knowledge, the authors conducted a systematic review with bibliographic network mapping to identify and analyse the factors contributing to adopting blockchain in the banking industry. Following the latest protocols of the PRISMA flowchart, this study acknowledged 16 relevant publications from 2590 papers in the databases, namely Scopus, ScienceDirect, Web of Science, and IEEE Xplore. The bibliographic data were grouped and analysed using VOSviewer to create network visualization maps that included citation and co‐citation, bibliographic coupling, co‐authorship, and co‐occurrence of terms. Subsequently, significant terms were identified through the analyses and compared with those found in the 16 relevant papers. The aggregate findings suggest that multiple influencing factors have been recognized and later categorized into three thematic drivers: transparency‐driven security, collaborative interoperability, and organizational infrastructure. The current research provides valuable insights for policymakers, technologists, researchers, consultants, and practitioners of information systems by proposing a technological framework, which will aid in developing tailored strategies to facilitate the sustainable practice of blockchain in the banking industry to a wider extent.","url":"https://doi.org/10.1049/blc2.12093","authors":["S.M. Masudur Rahman","Abu Naser Mohammad Saif","Sadman Kabir","Md. Fakhrudoza Bari","Md. Mahabub Alom","Md. Johir Rayhan","Fangfang Zan","Mingyue Chu","Ashis Talukder"],"tags":["Thematic map","Blockchain","Thematic analysis","Banking industry","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/blc2.12093","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4414298181","name":"The Technical Hypothesis of a Missile Engine Conversion and Upgrade for More Sustainable Orbital Deployments","source":"openalex","abstract":"The conversion of legacy missile engines into space propulsion systems represents a strategic opportunity to accelerate Europe’s access to orbit while advancing sustainability and circular-economy goals. Rather than discarding decommissioned hardware, repurposing missile propulsion can reduce development timelines, retain valuable materials, and leverage proven architectures for new applications. This perspective outlines the potential of the Soviet-era Isayev S2.720 engine as a representative case, drawing on historical precedents of missile-to-launcher conversions worldwide. A three-pillar methodology is proposed to frame such efforts: (i) the adoption of cleaner propellants such as LOX–LCH4 in place of toxic hypergolics; (ii) remanufacturing and upgrading of key subsystems through additive manufacturing, AI-assisted inspection, and digital twin modelling; and (iii) validation supported by dedicated testing, life-cycle assessment (LCA), and life-cycle costing (LCC). Beyond the technical aspects, the paper discusses retrofit applicability, cost considerations, and the role of standardization in enabling future certification. By positioning the S2.720 as a model, this study highlights the broader strategic value of adapting decommissioned propulsion systems for modern orbital use, providing insight into how Europe might integrate legacy assets into a more sustainable and resilient space transportation framework.","url":"https://doi.org/10.3390/aerospace12090833","authors":["Emilia Georgiana Prisăcariu","Oana Dumitrescu","Francesco Battista","Angelo Maligno","Juri Munk","Daniele Ricci","Jan Haubrich","Daniele Cardillo"],"tags":["Propulsion","Systems engineering","Engineering","Leverage (statistics)","Aerospace"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-16","doi":"https://doi.org/10.3390/aerospace12090833","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7164342378","name":"Software and Hardware Tools for Modeling Digital Twins","source":"openalex","abstract":"Introduction. A digital twin dynamically reflects and simulates the behavior of its physical counterpart. To predict the behavior of a digital twin under certain conditions, it is necessary to create a large database and develop a software model. Artificial intelligence, smart sensors, 5G, cloud computing, VR/AR and blockchain are technologies that provide digital twins with intelligence, the ability to work constantly in real time and increased security. The purpose of the study is to demonstrate the possibilities of using digital twin technology to predict the remaining life of aircraft structures in order to ensure timely maintenance and optimize costs. Results. The paper substantiates the use of software and hardware for digital twins, which provides significant potential for optimizing processes and increasing efficiency in many industries The main hardware includes sensors and transducers: sensors for temperature, pressure, humidity and other physical parameters; cameras for visual monitoring. Computing devices: servers for real-time data processing, graphics processing units (GPUs) for processing complex models; data transmission devices: network devices for fast data transmission (5G, LoRaWAN); cloud services for data storage and synchronization (AWS, Azure). Further development of the technology is important to ensure greater accuracy and integration. Conclusions. Digital twins help improve productivity by enabling teams to collaborate in real time to accelerate and improve decision-making. Their wide range of possible applications is making them increasingly important in business and industry. The use of digital twins provides a comprehensive effect, which is manifested in reducing costs and waste, increasing productivity, improving product quality and storage conditions, as well as reducing production cycle times and lead times. Keywords: digital twins, virtual information constructs, software model, artificial intelligence.","url":"https://doi.org/10.34229/2707-451x.26.2.12","authors":["Oleksandr Timashov","Kateryna Sosnenko","Tamara Samoliuk"],"tags":["Computer science","Cloud computing","Software","Server","Synchronization (alternating current)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-01","doi":"https://doi.org/10.34229/2707-451x.26.2.12","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7138840457","name":"Smart wearable and implantable biosensors for continuous health monitoring: materials, biocompatibility, and AI integration","source":"openalex","abstract":"Abstract Smart wearable and implantable biosensors enable continuous, real-time monitoring of biophysical and biochemical signals for personalized and preventive healthcare. Advances in flexible, stretchable, and biocompatible materials ensure long-term comfort and seamless body integration, while multimodal and multi-analyte sensing improves robustness. AI enhances signal processing and predictive insights, yet challenges remain in motion artifacts, energy autonomy, data privacy, and clinical interpretability. This review summarizes materials, device architectures, and AI-assisted strategies applications.","url":"https://doi.org/10.1038/s41528-026-00560-6","authors":["Thirumalaisamy Suryaprabha","Chunghyeon Choi","Yanfang Wu","Liyang Liu","Byungil Hwang"],"tags":["Wearable computer","Biocompatible material","Wearable technology","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-20","doi":"https://doi.org/10.1038/s41528-026-00560-6","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7125116382","name":"Cloud-Native Enterprise Resource Management for Multi-Sector Operations","source":"openalex","abstract":"Enterprise Resource Management (ERM) systems play a vital role in integrating and coordinating organizational resources across finance, operations, human resources, procurement, and supply chains. Despite their importance, traditional on premise ERM solutions often face challenges related to limited scalability, high infrastructure and maintenance costs, and poor adaptability to rapidly changing operational requirements. These limitations become more pronounced in multi sector environments, such as manufacturing, healthcare, education, and logistics, where diverse workflows and regulatory constraints must be managed simultaneously. To address these challenges, this paper proposes a cloud native Enterprise Resource Management framework specifically designed to support multi sector operations. The proposed framework adopts a modular microservices architecture, enabling independent deployment, flexible scaling, and efficient integration of core ERM functions. Cloud based data management and real time analytics are incorporated to enhance operational visibility and decision making capabilities. The methodology outlines system architecture, deployment strategy, and data integration mechanisms within a cloud environment. Discussion and performance observations demonstrate that the cloud native approach significantly improves system responsiveness, resource utilization, and operational flexibility when compared to conventional ERM systems. Furthermore, the proposed solution reduces system downtime and maintenance complexity while enabling seamless cross sector coordination. The study concludes that cloud native ERM platforms provide a scalable, cost effective, and future ready solution for organizations managing complex, multi sector operations.","url":"https://doi.org/10.30574/gjeta.2026.26.1.0012","authors":["Florina Rahman","Shamsun Nahar","Mahrima Akter Mim"],"tags":["Cloud computing","Process management","Computer science","Software deployment","Workflow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-21","doi":"https://doi.org/10.30574/gjeta.2026.26.1.0012","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7118850498","name":"Intelligentization of the real economy: current trends, challenges, and solutions","source":"openalex","abstract":"The colossal technological shift known as the Fourth Industrial Revolution (Industry 4.0) is transforming global industry, making it more connected, automated, and intelligent. Smart Manufacturing is the integration of operational technology (OT) and information technology (IT), enabling the creation of fully connected and flexible production systems. These systems, based on real-time data, are capable of self-optimization of both individual processes and the entire production chain. Currently, the market for intelligent manufacturing technologies is actively growing, which, combined with the previous arguments, confirms the importance of researching this topic. This article explores the state of key technologies that form this new paradigm approach, analyzes the practical directions of its implementation, and outlines the prospects for further development. The author’s conclusions are based on theoretical data, including an evolutionary perspective on industrial revolutions, the essence of intellectual production, and its technological components. The article provides statistical evidence to support the author’s arguments. The focus is on exploring current trends in the intellectualization of production in the Russian Federation. The author highlights the importance of smart factories, artificial intelligence (AI), and digital twins. The novelty of the research lies in its complexity and situational applicability. On this basis, the author complements the 3C management concept with the principle of compliance and forms the 4C methodological concept, which can serve as a guideline for a new analytical model of the intellectualization of Russian industry. The following areas of development are highlighted: the democratization of technologies, the introduction of autonomous systems into automation processes, and the transition to a circular economy. This work serves as a guide for industrial enterprises in choosing their development vector and for government agencies in developing support measures. The study proves that accelerated intellectualization is not just a technological trend, but a condition for ensuring the country’s economic security, sovereignty, and sustainable development.","url":"https://doi.org/10.52957/2221-3260-2025-11-71-85","authors":["Elena Golovchanskaya"],"tags":["Intellectualization","Automation","Computer science","Novelty","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.52957/2221-3260-2025-11-71-85","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7203622307","name":"Digital Twin–Enabled Pressure Optimization for Energy, Cost, and Carbon Reduction in Centrifugal Compressors: Industrial Validation in Semiconductor Manufacturing","source":"openalex","abstract":"ABSTRACT Compressed dry air (CDA) is one of the most energy‐intensive utility systems in semiconductor manufacturing because it operates continuously to satisfy stringent production and cleanroom requirements. In many facilities, centrifugal compressors are intentionally operated at discharge pressures above the actual process demand to ensure a reliable air supply. Although this practice enhances operational stability, it also increases electricity consumption, operating costs, and associated carbon emissions. This study proposes and validates a hybrid digital twin framework for improving compressor energy performance through discharge pressure optimization. The framework integrates thermodynamic modelling, real‐time operational data, and predictive analytics to evaluate compressor behaviour under different operating conditions. A dataset comprising 20,577 operational records collected from a semiconductor manufacturing facility in Malaysia was used for industrial validation. During the investigation, the compressor discharge pressure was progressively reduced from 8.9 bar to 7.5 bar while maintaining production demand and airflow requirements. Under these conditions, electricity consumption decreased by 10.25%, whereas the delivered airflow remained stable, indicating that the original operating pressure provided an unnecessary pressure margin. Statistical evaluation using multivariate analysis of variance (MANOVA) together with regression analysis identified discharge pressure as the dominant factor influencing energy consumption, while airflow variations were not statistically significant. The digital twin achieved a prediction error of less than 5%, demonstrating close agreement between simulated and measured operating performance. In addition to improving energy efficiency, the optimized operating strategy reduced operating costs and lowered indirect carbon dioxide (CO 2 ) emissions by approximately 10%. Unlike many earlier studies that relied primarily on simulation or laboratory‐scale investigations, this work demonstrates the practical application of a digital twin using real operational data from a full‐scale semiconductor manufacturing environment. The proposed framework offers an effective decision‐support approach for enhancing energy efficiency, reducing operating costs, and advancing sustainability objectives in semiconductor manufacturing.","url":"https://doi.org/10.1002/appl.70163","authors":["Abdul Rahim Musa","Abdul Malik Mohd Ali"],"tags":["Gas compressor","Cleanroom","Semiconductor device fabrication","Airflow","Automotive engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-01","doi":"https://doi.org/10.1002/appl.70163","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160236162","name":"2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing","source":"openalex","abstract":"The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, the deployment of AI and ML in industrial settings still faces critical challenges, including the complexity of industrial big data, effective data management, integration with heterogeneous sensing and control systems, and the demand for trustworthy, explainable, and reliable operation in high-stakes industrial environments. In this roadmap, we present a comprehensive perspective on the foundations, applications, and emerging directions of AI and ML in smart manufacturing. It is structured in three parts. The first highlights the foundations and trends that frame the evolution of AI in smart manufacturing. The second focuses on key topics where AI is already enabling advances, including industrial big data analytics, advanced sensing and perception, autonomous systems, additive and laser-based manufacturing, digital twins, robotics, supply chain and logistics optimization, and sustainable manufacturing. The third section explores non-traditional ML approaches that are opening new frontiers, such as physics-informed AI, generative AI, semantic AI, advanced digital twins, explainable AI, RAMS, data-centric metrology, LLMs, and foundation models for highly connected and complex manufacturing systems. By identifying both opportunities and remaining barriers across these areas, this roadmap outlines the advances needed in methods, integration strategies, and industrial adoption. We hope this roadmap will serve as a guide for researchers, engineers, and practitioners to accelerate innovation, align academic and industrial priorities, and ensure that AI-driven smart manufacturing delivers reliable, sustainable, and scalable impact for the future of manufacturing ecosystems.","url":"https://doi.org/10.48550/arxiv.2605.00839","authors":["Jay Lee","Hanqi Su","Marco Macchi","Adalberto Polenghi","Wei Wu","Zhiheng Zhao","George Q. Huang","Kiva Allgood","Devendra Jain","Benedikt Gieger","Vibhor Pandhare","Soumyabrata Bhattacharjee","Ram Mohril","Lingbao Kong","Qiyuan Wang","Xinlan Tang","Sungjong Kim","Chan Hee Park","Byeng D. Youn","Guo Dong Goh","Xi Huang","Wai Yee Yeong","Yung C. Shin","He Zhang","Zitong Wang","Fei Tao","Jagjit Singh Srai","Satyandra K. Gupta","Byung Gun Joung","A.R. John","John W. Sutherland","Sang Won Lee","Olga Fink","Vinay Sharma","Faez Ahmed","Wei Chen","Mark Fuge","Arild Waaler","Martin G. Skjæveland","Dimitris Kyritsis","Wei Chen","VispiNevile Karkaria","Yi-Ping Chen","Ying-Kuan Tsai","Joseph Cohen","Xun Huan","Jing Lin","Liangwei Zhang","Greg Vogl","Aaron W. Cornelius","Xiaodong Jia","Dai-Yan Ji","Takanobu Minami","Ruoxin Wang"],"tags":["Big data","Software deployment","Artificial intelligence","Scalability","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-05","doi":"https://doi.org/10.48550/arxiv.2605.00839","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4409771013","name":"A Comprehensive Survey on Deep Learning-based Predictive Maintenance","source":"openalex","abstract":"With the advent of Industrial 4.0 and the push toward Industry 5.0, the data generated by the industries have become surprisingly large. This abundance of data significantly boosts machine and deep learning models for Predictive Maintenance (PdM). The PdM plays a vital role in extending the lifespan of industrial equipment and machines while also helping to reduce the risk of unscheduled downtime. Given its multidisciplinary nature, the field of PdM has been approached from many different angles: this comprehensive survey aims at providing an up-to-date overview focused on all the learning-based industrial PdM strategies, discussing weaknesses and strengths. The survey is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodological flow, allowing a systematic and complete review of the literature. In particular, firstly, we explore the main learning models used for PdM, mainly Convolutional Neural Networks (ConvNets), Autoencoders (AEs), Generative Adversarial Networks (GANs), and Transformers, also giving an overview of the newest models such as diffusion models and foundation models. Then, we discuss the main learning paradigms applied to PdM, i.e., supervised, unsupervised, ensemble, transfer, federated, and reinforcement learning. Furthermore, this work discusses the pipeline of the data-driven PdM and its benefits, practical applications, datasets, and benchmarks. In addition, the evaluation metrics for each PdM stage and the state-of-the-art hardware devices used are discussed. Finally, the challenges and future work are presented.","url":"https://doi.org/10.1145/3732287","authors":["Uzair Farooq Khan","Dong Seon Cheng","Francesco Setti","Franco Fummi","Marco Cristani","Luigi Capogrosso"],"tags":["Computer science","Artificial intelligence","Psychology","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-24","doi":"https://doi.org/10.1145/3732287","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7124600441","name":"Smart IoT Infrastructure for Workplace Efficiency and Energy Savings","source":"openalex","abstract":"The rapid digitization of modern workplaces has led to increased reliance on electrical equipment, automated systems, and digital infrastructure, resulting in higher energy consumption and operational complexity. Conventional workplace infrastructure systems often operate independently, without real time coordination or intelligent control, which leads to energy wastage, inefficient resource utilization, and reduced employee comfort. To address these challenges, this paper proposes a Smart Internet of Things (IoT) based infrastructure aimed at improving workplace efficiency while achieving significant energy savings. The proposed system integrates distributed smart sensors, intelligent controllers, cloud-based data analytics, and automated control mechanisms to continuously monitor environmental conditions, occupancy behavior, and equipment usage in real time. By analyzing collected data, the system dynamically optimizes lighting, heating, ventilation, air conditioning, and power usage based on actual workplace demand. Experimental evaluation and scenario-based analysis indicate that the proposed IoT framework can reduce overall energy consumption by a substantial margin while maintaining optimal indoor comfort levels. Additionally, automation reduces manual intervention and operational overhead, contributing to improved productivity and system reliability. The modular and scalable design of the infrastructure allows it to be deployed across various workplace environments, including offices, industrial facilities, and institutional buildings. The findings of this study demonstrate that smart IoT-enabled infrastructure provides an effective, sustainable, and future-ready solution for intelligent workplace management and energy efficient operations.","url":"https://doi.org/10.30574/wjaets.2026.18.1.0026","authors":["Mahrima Akter Mim","Murad A. SHARIF","Florina Rahman","Shamsun Nahar"],"tags":["Energy consumption","Efficient energy use","Automation","Computer science","Productivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-17","doi":"https://doi.org/10.30574/wjaets.2026.18.1.0026","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4407393708","name":"A Comprehensive Review of Load Frequency Control and Solar Energy Integration: Challenges & Opportunities in Indian Context","source":"openalex","abstract":"Energy plays a crucial role in driving economic growth, and India’s energy consumption has increased notably due to its growing population and development. At present, fossil fuels such as coal, petroleum, and natural gas fulfill the majority of India’s energy requirements, but their swift depletion and negative environmental effects present significant challenges. India’s abundant solar energy potential—estimated at approximately 5000 trillion kWh annually—positions the nation to harness clean and sustainable power. With steady growth, solar energy has become a key component of India’s power grid. However, integrating renewable energy into the grid presents challenges, such as maintaining frequency and voltage stability. This report analyzes India’s substantial advancements in solar energy, emphasizing the enabling government policies and the problems associated with integrating renewable energy into the grid. The study underscores the crucial need for effective load frequency control (LFC) solutions to mitigate grid stability issues, intensified by the fluctuating and intermittent characteristics of solar energy. It also evaluates policy-driven approaches and technological advancements, providing practical recommendations to overcome integration challenges. This research aims to contribute to the effective deployment of solar energy in India’s energy mix, ensuring long-term grid stability and sustainability, and it underscores that India’s creative strategies can serve as a model for other nations facing analogous issues in renewable energy integration. It emphasizes the necessity of recognizing optimal practices that integrate energy security, economic development, and environmental objectives, thus contributing to global dialogs on energy transitions.","url":"https://doi.org/10.3390/en18040843","authors":["Anjana Singh","Ravi Shankar","Amitesh Kumar"],"tags":["Context (archaeology)","Automatic frequency control","Control (management)","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-11","doi":"https://doi.org/10.3390/en18040843","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4383878640","name":"The Industrial Revolution 4.0","source":"openalex","abstract":"The various industrial revolutions have always been preceded by scientific, technological and organizational advances and innovations. In this chapter, the authors present a brief overview of these earlier revolutions before introducing Industry 4.0. The technological advances in the fourth Industrial Revolution resulted in a new generation of factories, which have been given various labels: the factories of the future, smart factories, digital factories, cyberfactories, integrated factories, innovative factories, Factory 4.0, and even Industry 4.0. To clarify the semantics of the terminology relating to technologies in Industry 4.0, Julien and Martin have suggested categorizing digital technologies into three categories: disruptive technologies; technologies for communication and interconnection; and data management technologies. Defining Industry 4.0, the panorama of technologies that make up Industry 4.0, their importance and temporal relevance form the framework for industrial safety, which must adapt to new demands.","url":"https://doi.org/10.1002/9781394226375.ch1","authors":["André Laurent"],"tags":["Industrial Revolution","Industry 4.0","Terminology","Emerging technologies","Factory (object-oriented programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-11","doi":"https://doi.org/10.1002/9781394226375.ch1","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7125708765","name":"Implementation of Integrated Control Systems Projects in Companies Focused on Industry 4.0: Opportunities and Challenges in Brazil","source":"openalex","abstract":"Integrated control systems (Supervisory Control and Data Acquisition–SCADA and Manufacturing Execution Systems—MES) constitute the backbone of Industry 4.0; however, research on their implementation remains scarce. This study analyzes the opportunities and challenges of modernizing these systems within the context of the Brazilian industry. A survey of 101 experts was conducted, with results analyzed via Friedman and Holm–Sidak nonparametric tests to establish a clear hierarchy of factors. Findings reveal that while economic efficiency, productivity gains, and real-time remote access represent the most significant opportunities, they are countered by critical structural challenges: obsolete machinery and inadequate infrastructure. These challenges significantly inflate implementation costs and highlight the reality of technological obsolescence that is typical of emerging economies. By applying the Resource-Based View (RBV), this research frames digital integration as a strategic competitive capability rather than a mere technical upgrade. Practically, the study provides a roadmap for industrial leaders to balance digital agility expectations with pragmatic operational constraints. These insights offer a foundation for successful digital transformation, delivering actionable value for academics, industrial managers, and policymakers.","url":"https://doi.org/10.3390/technologies14020078","authors":["Auro de Jesus Cardoso Correia","Leandro Simplício Silva","Josiane Lima de Araújo","José Celso Contador","José Luiz Contador","Guilherme Henrique de Magalhães","Rogério Glaser Prado","Walter Cardoso Sátyro","Mauro de Mesquita Spinola"],"tags":["Obsolescence","Context (archaeology)","Control (management)","Productivity","Hierarchy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-23","doi":"https://doi.org/10.3390/technologies14020078","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4414184954","name":"Bridging the Gap to Industry 5.0","source":"openalex","abstract":"Since 2011, the term 'Industry 4.0' (I4.0) has gained significance in industry. After a decade of digital transformation, the European Commission is now advancing towards Industry 5.0 (I5.0). The focus is on using technology to support people, enhance ecological sustainability, and make industry more resilient. This paper examines the transition from I4.0 to I5.0, with a particular focus on the learning factory Smart Production Lab as a model for future-oriented manufacturing companies. The study involves a systematic literature review to identify key technologies and concepts of I4.0 and analyse their evolution in the context of I5.0. A comparative analysis forms the basis for a matrix that facilitates a clear comparison and guides future developments of the Lab. This research identifies the technologies underpinning the goals of I5.0 and their implications for practical applications in manufacturing. It also provides actionable recommendations for companies.","url":"https://doi.org/10.31803/tg-20240519112501","authors":["Lena Sophie Leitenbauer","Sabrina Romina Sorko","Christine Lichem-Herzog"],"tags":["Bridging (networking)","Underpinning","Industry 4.0","European commission","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-15","doi":"https://doi.org/10.31803/tg-20240519112501","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7134944526","name":"Advances in Hydrogen Pipeline Joints: Materials, Sealing Structures, and Intelligent Monitoring for Safe Hydrogen Transport","source":"openalex","abstract":"Against the backdrop of the accelerating global energy transition toward clean and low-carbon sources, hydrogen energy is emerging as a vital component of future energy systems due to its zero-carbon emissions, high energy density, and renewable nature. The safe and efficient transportation of hydrogen is a critical link in the hydrogen energy industry chain. As core connecting components in hydrogen transmission systems, the sealing integrity, hydrogen embrittlement resistance, and long-term service reliability of hydrogen pipeline joints directly impact the stable operation of entire hydrogen transmission systems and the feasibility of large-scale application. This study systematically reviews the research literature on hydrogen pipeline joints from 2014 to 2025 using bibliometric and knowledge graph analysis methods based on the Web of Science Core Collection database. It constructs co-occurrence networks and clustering graphs of keywords to identify core research themes in this field, including hydrogen embrittlement failure mechanisms, degradation of sealing material properties, structural design optimization of joints, and intelligent monitoring and fault diagnosis. Furthermore, this study highlights existing research gaps in evaluating joints’ long-term service performance, developing low-cost and efficient manufacturing technologies, and verifying reliability under complex operating conditions. This study provides a systematic bibliometric perspective on hydrogen pipeline joint technology development, aiding in identifying research frontiers and technological evolution pathways. It offers theoretical support and decision-making references for the safe construction and standardized development of hydrogen energy infrastructure.","url":"https://doi.org/10.3390/en19061408","authors":["Siyan Hong","Xincheng Ma","Yapan Zhao","Miaomiao Zhang","Cuiyan Li","Jun Luo","Y. Wang","B.S. Hong"],"tags":["Hydrogen embrittlement","Computer science","Pipeline (software)","Hydrogen","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-11","doi":"https://doi.org/10.3390/en19061408","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4404516879","name":"Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.biotechadv.2024.108480","authors":["Hossein Kavoni","Iman Shahidi Pour Savizi","Nathan E. Lewis","Seyed Abbas Shojaosadati"],"tags":["Monoclonal antibody","Production (economics)","Chinese hamster ovary cell","Computational biology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-19","doi":"https://doi.org/10.1016/j.biotechadv.2024.108480","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4388898081","name":"Views of Cross-Laminated Timber (CLT) Manufacturer Representatives around the World on CLT Practices and Its Future Outlook","source":"openalex","abstract":"Due to its recent emergence, there is a limited body of global market research available on CLT. Presently, the literature lacks comprehensive understanding regarding the present state, varied uses, and future outlook of CLT construction at a global level. The objective of this article is to address this knowledge gap by conducting semi-structured, in-depth interviews with CLT manufacturer representatives around the world, including Austria, Italy, Czech Republic, Sweden, Norway, Finland, Japan, Canada, and Uruguay. Critical findings emphasized that (1) the predominant mention was about the insufficient knowledge and experience within construction professionals; (2) a clear need for heightened expertise and training in the domain of CLT was underscored; (3) CLT was regarded as a favorable choice in efforts to combat climate change; (4) CLT was deemed highly appropriate for settings marked by variable climatic conditions; (5) CLT producers, particularly those with comprehensive, vertically integrated operations encompassing the entire processing cycle, remained unaffected by the rise in raw material costs; (6) the COVID-19 pandemic generally yielded positive impacts on the CLT market; (7) primary application of CLT, as emphasized by most manufacturers, is in residential and institutional projects; and (8) most manufacturers noted the expansive and boundless opportunities within the market, especially considering the climate crises as potential future avenues for the utilization of CLT. This article aims to advance the widespread adoption of CLT within the global construction sector. It will achieve this by elucidating the obstacles, possibilities, and forthcoming prospects associated with CLT.","url":"https://doi.org/10.3390/buildings13122912","authors":["Hüseyin Emre Ilgın","Markku Karjalainen","Pinja Mikkola"],"tags":["Cross laminated timber","Expansive","Czech","Business","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-22","doi":"https://doi.org/10.3390/buildings13122912","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4224004914","name":"A review of high‐velocity impact on fiber‐reinforced textile composites: Potential for aero engine applications","source":"openalex","abstract":"Abstract Considerable research has indicated that fiber‐reinforced textile composites are significantly beneficial to the aerospace industry, especially aero engines, due to their high specific strength, specific stiffness, corrosion resistance, and fatigue resistance. However, damage caused by high‐velocity impacts is a critical limitation factor in a wide range of applications. This paper presents an overview of the development, material characterizations, and applications of fiber‐reinforced textile composites for aero engines. These textile composites are classified into four categories including two‐dimensional (2D) woven composites, 2D braided composites, 3D woven composites, and 3D braided composites. The complex damage mechanisms of these composite materials due to high‐velocity impacts are discussed in detail as well.","url":"https://doi.org/10.1002/msd2.12033","authors":["Yinghong Li","Xuefeng Chen","Jin Zhou","Xiaochuan Liu","Di Zhang","Feiping Du","Weifeng He","Pu Rong Jia","Haibao Liu"],"tags":["Materials science","Composite material","Aerospace","Textile","Specific strength"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.1002/msd2.12033","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7167931497","name":"Additive Manufacturing for Sustainable Construction 4.0: Trends, Opportunities, and Future Directions","source":"openalex","abstract":"Additive manufacturing (AM) is applied in sustainable architecture and Construction 4.0 because it can support design flexibility, mass customization, material efficiency, and reduced reliance on conventional formwork. Prior reviews often addressed either construction applications or broader digital transformation, leaving the intersection of AM, construction sustainability, digital technologies, and lifecycle performance underexplored. This study conducts a systematic and bibliometric review of literature retrieved from Scopus and Web of Science covering the period from January 2016 to January 2026. The review protocol followed SPAR-4-SLR principles and PRISMA 2020 guidelines, with 58 records retained for analysis. Bibliometric and thematic analyses identified a marked rise in publication activity after 2021 with four major research themes: material development and innovation, digital fabrication and process control, lifecycle assessment and circularity, and digital integration and project implementation. Construction 4.0 technologies, including BIM, digital twins, automation, and robotics, were the most frequently represented digital enablers. The review further identifies future research opportunities and outlines a proposed conceptual pathway toward Construction 5.0. This pathway connects materials, robotics, lifecycle performance, and human-centered priorities as a future research agenda. Overall, this study contributes to a more integrated understanding of how AM can advance sustainable, digitally enabled, and human-centered construction practice.","url":"https://doi.org/10.3390/architecture6030110","authors":["Farhana Yasmin","Z Q Zhu","Ajit Devkota"],"tags":["Engineering","Process (computing)","Process management","System lifecycle","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-10","doi":"https://doi.org/10.3390/architecture6030110","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4417292791","name":"Exploring the Spillover Effect of Supply Chain Digitalisation on Pollution Emissions Through Social Network Analysis","source":"openalex","abstract":"ABSTRACT The supply chain consists of interconnected businesses and organisations responsible for the flow of goods and services. As firms increasingly adopt digital technologies, the spillover effects of supply chain digitalisation (SCD) on environmental performance remain underexplored. This study examines how the digitalisation of suppliers and customers influences pollution emissions in midstream manufacturing firms. Using data from Chinese A‐share‐listed firms and social network analysis, we construct a novel indicator to measure SCD. Our findings reveal that digitalisation within the supply chain significantly reduces pollution emissions through three key mechanisms: cost efficiency, improved resource allocation and green technology innovation. The effect is more pronounced in high‐pollution industries, regions with stricter environmental regulations and regions with well‐developed digital infrastructure. These insights highlight the strategic role of digital transformation in driving corporate sustainability and provide valuable implications for firms and policymakers navigating green business strategies.","url":"https://doi.org/10.1002/bse.70443","authors":["Zengdong Cao","Nichola Latoya Williams","Ibrahim Labaran Ali","Ololade Periola","Yaşanur Kayıkçı"],"tags":["Business","Supply chain","Spillover effect","Industrial organization","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-12","doi":"https://doi.org/10.1002/bse.70443","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4408777199","name":"QUANTUM AI-DRIVEN BUSINESS INTELLIGENCE FOR CARBON-NEUTRAL SUPPLY CHAINS: REAL-TIME PREDICTIVE ANALYTICS AND AUTONOMOUS DECISION-MAKING IN COMPLEX ENTERPRISES","source":"openalex","abstract":"Amid growing global pressures to combat climate change, enterprises are reengineering their supply chains to align with carbon-neutral objectives while maintaining operational agility and competitiveness. This study explores the transformative potential of integrating Quantum Artificial Intelligence (QAI), Business Intelligence (BI), and autonomous decision-making technologies in building intelligent, sustainable supply chains capable of minimizing environmental impact. By leveraging the computational advantages of quantum algorithms, machine learning, real-time analytics, and decentralized control systems, organizations can address the increasing complexity of emissions management, logistics optimization, and sustainability forecasting. A comprehensive systematic literature review was conducted following the PRISMA 2020 guidelines, encompassing 97 peer-reviewed articles published between 2010 and 2024 across fields including supply chain management, artificial intelligence, quantum computing, and sustainability analytics. The review reveals that QAI significantly enhances the efficiency of solving combinatorial problems such as routing, scheduling, and emissions prediction, outperforming classical AI in both speed and scalability. BI platforms have evolved from retrospective reporting tools to intelligent systems that facilitate real-time carbon monitoring, dynamic scenario modeling, and sustainability-focused KPI visualization. In parallel, the deployment of autonomous systems—supported by IoT, RFID, edge computing, and AI agents—has enabled decentralized, self-optimizing decision-making across manufacturing, logistics, and procurement functions. Real-world case studies from industry leaders like Siemens, IBM, Honeywell, and John Deere illustrate the tangible impact of these technologies in achieving emissions reductions and improving system-wide sustainability performance. This study provides a comprehensive understanding of how the convergence of QAI, BI, and autonomous systems is shaping the future of carbon-conscious supply chains, offering both theoretical advancement and practical relevance for businesses committed to environmental responsibility and technological innovation.","url":"https://doi.org/10.63125/s2jn3889","authors":["Sanjai Vudugula","Sanath Kumar Chebrolu"],"tags":["Business intelligence","Predictive analytics","Analytics","Supply chain","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-03","doi":"https://doi.org/10.63125/s2jn3889","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3195546046","name":"Research on NCF-PCF-NCF Structure Interference Characteristic for Temperature and Relative Humidity Measurement","source":"openalex","abstract":"A novel structure of photonic crystal fiber (PCF) Mach-Zehnder interferometer (MZI) for temperature and relative humidity measurement is proposed. The novel structure is composed of two sections of no core fiber (NCF) with a piece of PCF. The sensitivity of the proposed sensor is enhanced by adopting NCF coupling method. The results show that the sensitivities of temperature are 0.059 nm/°C, 0.074 nm/°C and 0.130 nm/°C in the range of 25 °C to 70 °C, and the sensitivities of relative humidity are 0.020 nm/%RH, 0.027 nm/%RH and 0.036 nm/%RH in the range of 30%RH to 70%RH. The sensor has the advantages of high stability, good linearity fit and simple structure, which indicates that the sensor has the potential of making an important contribution to the field of biology, chemistry, and medical.","url":"https://doi.org/10.1109/jphot.2021.3105395","authors":["Jietong Zhang","Zhengrong Tong","Weihua Zhang","Yeming Zhao","Yixi Liu"],"tags":["Relative humidity","Materials science","Photonic-crystal fiber","Interferometry","Mach–Zehnder interferometer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-01","doi":"https://doi.org/10.1109/jphot.2021.3105395","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4383302626","name":"Synthesis and Structural Characterization of Branched Bimetallic AuPd Nanoparticles with a Highly Tunable Optical Response","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide Bimetallic nanostructures composed of gold (Au) and palladium (Pd) have garnered increased interest for their applications in heterogeneous catalysis. This study reports a simple strategy for manufacturing [email protected] bimetallic branched nanoparticles (NPs), which offer a tunable optical response, using polyallylamine-stabilized branched AuNPs as template cores for Pd overgrowth. The palladium content can be altered by manipulating the concentration of PdCl 4 2– and ascorbic acid (AA) that are injected, which permit an overgrowth of the Pd shell up to ca. 2 nm thick. The homogeneous distribution of Pd at the surfaces of Au NPs can be carried out regardless of their size or branching degree, which allows for an adjustment of the plasmon response in the near-infrared (NIR) spectral range. As a proof of concept, the nanoenzymatic activity of pure gold and gold–palladium NPs was compared, exploring their peroxidase-like activity in the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB). The bimetallic AuPd NPs demonstrate an increase in the catalytic properties attributed to the presence of palladium at the surface of gold.","url":"https://doi.org/10.1021/acs.jpclett.3c01431","authors":["Silvia Nuti","Adrián Fernández‐Lodeiro","Lidia E. Chinchilla","Ana B. Hungría","José Luís Capelo","Carlos Lodeiro","Javier Fernández‐Lodeiro"],"tags":["Bimetallic strip","Characterization (materials science)","Nanoparticle","Materials science","Nanotechnology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-06","doi":"https://doi.org/10.1021/acs.jpclett.3c01431","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4387432894","name":"Ultra‐Fast Single‐Nucleotide‐Variation Detection Enabled by Argonaute‐Mediated Transistor Platform","source":"openalex","abstract":"\"Test-and-go\" single-nucleotide variation (SNV) detection within several minutes remains challenging, especially in low-abundance samples, since existing methods face a trade-off between sensitivity and testing speed. Sensitive detection usually relies on complex and time-consuming nucleic acid amplification or sequencing. Here, a graphene field-effect transistor (GFET) platform mediated by Argonaute protein that enables rapid, sensitive, and specific SNV detection is developed. The Argonaute protein provides a nanoscale binding channel to preorganize the DNA probe, accelerating target binding and rapidly recognizing SNVs with single-nucleotide resolution in unamplified tumor-associated microRNA, circulating tumor DNA, virus RNA, and reverse transcribed cDNA when a mismatch occurs in the seed region. An integrated microchip simultaneously detects multiple SNVs in agreement with sequencing results within 5 min, achieving the fastest SNV detection in a \"test-and-go\" manner without the requirement of nucleic acid extraction, reverse transcription, and amplification.","url":"https://doi.org/10.1002/adma.202307366","authors":["Derong Kong","Shen Zhang","Mingquan Guo","Shenwei Li","Qiang Wang","Jian Gou","Yungen Wu","Yiheng Chen","Yuetong Yang","Changhao Dai","Zhengan Tian","Andrew T. S. Wee","Yunqi Liu","Dacheng Wei"],"tags":["Nucleic acid","Biology","Argonaute","Computational biology","Complementary DNA"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-10-09","doi":"https://doi.org/10.1002/adma.202307366","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4408419967","name":"Extending the Welding Seams Detection as Preparation Towards the Digital Twin Technology","source":"openalex","abstract":"ABSTRACT Detection and identification of defects in manufactured products, a task related to the basic requirements of quality management systems. By moving to higher levels, under the right conditions, these defects can be avoided, for example, by preventing manufacturing defects from occurring. Quality control and monitoring of welds are closely linked to the requirements of Industry 4.0. In the case of welding processes, quality assurance is a multifaceted area, including not only the analysis of input parameters but also the quality of the weld surface. By superimposing the point clouds of the parts under test, geometric features are generated to the initial manufacturing parameters to help increase manufacturing efficiency. In our work, the information data recorded by the data acquisition framework, which is captured during the welding process, is integrated with the outputs of the point cloud characteristics of the examined by the structured light scanning technology, as well as the value of the seam width magnitude extracted by the image recognition algorithms. This contributes to the possibilities of broadening the seam detection processes.","url":"https://doi.org/10.1049/cim2.70027","authors":["János Hegedűs‐Kuti","József Szőlősi","Márton Tamás Birosz","Attila Csobán","Izolda Popa‐Müller","Mátyás Andó"],"tags":["Welding","Computer science","Computer vision","Engineering","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1049/cim2.70027","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7171977235","name":"Designing a digital twin of a crude oil heating system","source":"openalex","abstract":"This article is devoted to the design of a digital twin of a crude oil heating system. For the successful functioning of the oil industry, it is very important to control the parameters of ongoing processes and indicators of devices and equipment involved in the production process. Every year, there is an increasing automation of the extraction and transportation processes to detect temperature changes in a timely manner. Lowering the oil temperature to the crystallization temperature of the paraffins in its composition is a favorable factor for the formation of asphalt-resin-paraffin deposits on the inner wall of the pipeline, which may be a factor that first reduces the productivity of the pipeline, and then completely prevents it. Therefore, the issues of the relevance of integrating the technology of digital deposits come to the fore. The aim of the work is to study various techniques and technologies to prevent the appearance and removal of asphalt-resin-paraffin deposits and, as a result, to develop a mathematical model of the temperature field of an oil pipeline and conduct an experiment simulating the oil flow inside the pipeline to measure the temperature of the liquid. In order to solve the tasks set, the article analyzes the state of the oil industry, examines the issues of ensuring industrial safety measures and limiting the harmful effects of the oil production on the environment. The article describes the characteristics and chemical composition of asphalt-resin-paraffin deposits, the causes of their occurrence and the mechanism of formation, methods of combating asphalt-resin-paraffin deposits. As a result, a digital twin model of the crude oil heating system was developed, an experiment was conducted that proved the system operability and confirmed its ability to respond to changes in the temperature field of the oil emulsion inside the pipeline. For citation: Stolbovskaya N.V., Esipova K.I., Pasternak S.N., Turovskaya L.G., Davydov T.G. Designing a digital twin of a crude oil heating system. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2026, vol. 337, no. 7, pp. 113-124. https://doi.org/10.18799/24131830/2026/7/5027","url":"https://doi.org/10.18799/24131830/2026/7/5027","authors":["Natalya V. Stolbovskaya","Ksenia I. Esipova","Svetlana Pasternak","Lyudmila G. Turovskaya","Tigran G. Davydov"],"tags":["Pipeline transport","Petroleum engineering","Pipeline (software)","Process engineering","Work (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-31","doi":"https://doi.org/10.18799/24131830/2026/7/5027","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7161175396","name":"Artificial intelligence in modern pharmacy: Transforming discovery, clinical practice, and manufacturing","source":"openalex","abstract":"Artificial Intelligence (AI) has emerged as a disruptive force within the pharmaceutical sector, shifting the industry from traditional batch-based methodologies to a data-driven, precision-oriented model. This review examines the current landscape of AI integration in modern pharmacy as of 2026, focusing on its role in accelerating drug discovery, optimizing clinical pharmacy services, and enabling \"Pharma 4.0\" manufacturing. Key advancements include the use of generative AI for de novo molecule design, predictive analytics for adverse drug event (ADE) prevention, and digital twins for personalized dosing. Despite these breakthroughs, challenges such as algorithmic bias, regulatory \"black box\" dilemmas, and data fragmentation persist. This article concludes that while AI significantly enhances efficiency and patient safety, a robust framework for explainable AI (XAI) and human-in-the-loop mechanisms is essential for full-scale clinical adoption.","url":"https://doi.org/10.33545/26646862.2026.v8.i5a.329","authors":["Pooja Kumawat","Rupali Patel","Yogendra Kumar","Hemlata .","Mohit Chaturvedi"],"tags":["Predictive analytics","Artificial intelligence","Computer science","Data science","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"https://doi.org/10.33545/26646862.2026.v8.i5a.329","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4399086809","name":"Radiometric Infrared Thermography of Solar Photovoltaic Systems: An Explainable Predictive Maintenance Approach for Remote Aerial Diagnostic Monitoring","source":"openalex","abstract":"Solar photovoltaic (SPV) arrays are crucial components of clean and sustainable energy infrastructure. However, SPV panels are susceptible to thermal degradation defects that can impact their performance, thereby necessitating timely and accurate fault detection to maintain optimal energy generation. The considered case study focuses on an intelligent fault detection and diagnosis (IFDD) system for the analysis of radiometric infrared thermography (IRT) of SPV arrays in a predictive maintenance setting, enabling remote inspection and diagnostic monitoring of the SPV power plant sites. The proposed IFDD system employs a custom-developed deep learning approach which relies on convolutional neural networks for effective multiclass classification of defect types. The diagnosis of SPV panels is a challenging task for issues such as IRT data scarcity, defect-patterns’ complexity, and low thermal image acquisition quality due to noise and calibration issues. Hence, this research carefully prepares a customized high-quality but severely imbalanced six-class thermographic radiometric dataset of SPV panels. With respect to previous approaches, numerical temperature values in floating-point are used to train and validate the predictive models. The trained models display high accuracy for efficient thermal anomaly diagnosis. Finally, to create a trust in the IFDD system, the process underlying the classification model is investigated with perceptive explainability, for portraying the most discriminant image features, and mathematical-structure-based interpretability, to achieve multiclass feature clustering.","url":"https://doi.org/10.3390/smartcities7030053","authors":["Usamah Rashid Qureshi","Aiman Rashid","Nicola Altini","Vitoantonio Bevilacqua","Massimo La Scala"],"tags":["Interpretability","Thermography","Photovoltaic system","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-28","doi":"https://doi.org/10.3390/smartcities7030053","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7202091652","name":"Physics-guided digital-twin-ready surrogate framework for predictive design of double-bridge compliant mechanisms in advanced manufacturing systems","source":"openalex","abstract":"The integration of physics-based modeling and data-driven prediction is creating new opportunities for predictive design, optimization, and the deployment of digital twins in advanced manufacturing systems. In compliant mechanisms, particularly double-bridge configurations used in precision positioning and surface engineering applications, accurate prediction and optimization of amplification ratio remain challenging due to coupled geometric interactions and nonlinear design trade-offs. This study presents a Physics-Guided Digital-Twin-Ready Framework for the predictive design and multi-objective optimization of double-bridge compliant mechanisms. A physics-consistent dataset comprising 8,000 design samples was generated using Latin Hypercube Sampling, analytical compliance modeling, constraint-based filtering, and response-space stratified sampling. The resulting dataset provides balanced coverage of amplification ratios within the range of 5–50, enabling robust learning across diverse design regimes. Machine-learning models, including Random Forest and Extreme Gradient Boosting (XGBoost), were developed to predict amplification ratio from geometric and material parameters. The models achieved excellent predictive performance, with coefficients of determination (R 2 ) exceeding 0.99, mean absolute errors below 0.93, and root mean square errors below 0.65. Uncertainty quantification was incorporated through ensemble variance estimation, yielding prediction intervals with less than 5% relative uncertainty in well-sampled regions. SHAP-based explainability and sensitivity analyses revealed that amplification behavior is primarily governed by geometric parameters, particularly beam lengths and flexure thickness, whereas material stiffness has comparatively lower influence. NSGA-II-based multi-objective optimization identified Pareto-optimal solutions that balance amplification ratio and equivalent stiffness, highlighting the inherent trade-off between displacement amplification and structural rigidity. The developed surrogate models enable rapid design exploration, uncertainty assessment, and optimization, while achieving computational speed-ups of approximately 10 3 –10 7 times compared with finite-element-based evaluation workflows, depending on the evaluation method. The primary contribution of this work is the integration of analytical compliance modeling, physics-consistent dataset generation, uncertainty-aware machine learning, explainable artificial intelligence, and multi-objective optimization within a unified predictive framework. The proposed methodology should be interpreted as a digital-twin-ready surrogate architecture rather than a fully implemented digital twin, as real-time sensing, and online model updating are beyond the scope of the present study. Nevertheless, the framework provides a scalable foundation for future integration with experimental measurements, multi-fidelity datasets, and digital-twin-enabled manufacturing environments.","url":"https://doi.org/10.3389/fmech.2026.1888696","authors":["Vijay Dilip Kolate","Pradipkumar Dudhajirao Darade","Suhas P. Deshmukh"],"tags":["Latin hypercube sampling","Computer science","Sensitivity (control systems)","Surrogate model","Stiffness"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-10","doi":"https://doi.org/10.3389/fmech.2026.1888696","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7128808529","name":"Mechanism-Driven Green Extraction of Plant Polyphenols: From Molecular Interactions to Process Integration and Intelligent Optimization","source":"openalex","abstract":"Plant polyphenols are valuable secondary metabolites with significant bioactivities; however, their efficient extraction faces multiple challenges, including the structural complexity arising from their coexistence in free and bound forms within plant matrices, as well as their sensitivity to oxidation and heat. Although emerging green extraction technologies such as deep eutectic solvents, supercritical fluid extraction, and physical field enhancement show potential, current research largely remains method-oriented, lacking an in-depth understanding of the coupling mechanisms between molecular interactions and mass transfer processes. This review explicitly proposes a \"mechanism-driven, synergistic integration\" framework for the green extraction of plant polyphenols. By systematically analyzing the molecular basis of extractability and the complementarity among emerging technologies, this framework provides theoretical guidance and a practical blueprint for transitioning from empirical optimization to intelligent, synergistic system design. Specifically, it begins by systematically dissecting the structural characteristics of polyphenols and their interactions with cell wall components to clarify the molecular basis of extractability. Next, it critically reviews the mechanisms, advantages, and engineering bottlenecks of representative green technologies, with a focus on how synergistic integration strategies based on complementary mechanisms can overcome the limitations of single technologies to achieve higher extraction efficiency and selectivity. Furthermore, it evaluates the application of response surface methodology and artificial neural networks in process modeling. Finally, it highlights critical challenges such as industrial scale-up, sustainability assessment, and intelligent manufacturing. This review advocates a paradigm shift from optimizing single techniques toward designing intelligent, synergistic systems grounded in mechanistic insights.","url":"https://doi.org/10.3390/plants15040596","authors":["Shiwei Yuan","Wanru Zhao","Yong-Li Wang","He Dong","Kai Song","Dongfang Shi"],"tags":["Biochemical engineering","Computer science","Process (computing)","Complementarity (molecular biology)","Component (thermodynamics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-13","doi":"https://doi.org/10.3390/plants15040596","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7128476249","name":"A Critical Review Exploring the Interplay Between Advanced Technologies and Innovation Ecosystems in Industry 5.0 Scenario","source":"openalex","abstract":"ABSTRACT Unlike Industry 4.0, which primarily emphasized automation and efficiency, Industry 5.0 marks a transition toward human‐centricity, sustainability, and resilience. One of the key challenges for Industry 5.0 innovation ecosystems lies in integrating technological progress with social equity, environmental responsibility, and active human involvement. This study aims to explore how digital and advanced technologies contribute to the development of Industry 5.0 within innovation ecosystems. Through a qualitative approach based on a critical literature review, the research identifies three promising areas where such technologies support the core principles of Industry 5.0, connecting them with Innovation Ecosystem Theory. The study's findings contribute to the creation of a conceptual framework intended to guide scholars in future research focused on understanding how advanced technologies can foster inclusive, resilient, and sustainable innovation ecosystems. Although the study follows a rigorous methodology, it also acknowledges some limitations, which could be addressed in future research developments.","url":"https://doi.org/10.1002/csr.70430","authors":["Domenica Barile","Maria Chiara De Lorenzi","Maria Elena Latino","Giustina Secundo"],"tags":["Business","Sustainability","Knowledge management","Industry 4.0","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.1002/csr.70430","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4410307541","name":"Trust by Design: An Ethical Framework for Collaborative Intelligence Systems in Industry 5.0","source":"openalex","abstract":"Industry 5.0 highlights human-centricity, sustainability, and resilience. This article presents a novel Trust by Design framework applicable to collaborative intelligence systems within Industry 5.0, addressing the need for collaborative systems to be reliable by design, incorporating ethical principles such as transparency, accountability, fairness, and privacy throughout the entire system lifecycle. The framework is grounded in select ethical philosophies applied to practical design requirements for human-AI collaboration, identifying key ethical challenges that threaten to damage trust and restrict the adoption of collaborative systems. The authors employ a qualitative, literature-driven method, conceptual modeling, and scenario-based case study analysis, synthesizing best practices and ethical policies from the EU AI Act, GDPR, and more. Trust by Design suggests a structured set of principles and implementation measures to embed ethics into every phase of the system’s lifecycle. The applicability and suitability of the framework are demonstrated through representative real-world application scenarios across industries. The results indicate that trust in collaborative intelligence systems is not static but dynamic, context-dependent, and controlled by transparency, fairness, and user experience. The framework includes instruments and methods to measure ethical performance, including trust metrics, override rates, fairness indicators, and incident tracking.","url":"https://doi.org/10.3390/electronics14101952","authors":["Emmanuel Alejandro Merchán-Cruz","Ioseb Gabelaia","Mihails Savrasovs","Mark Hansen","Shwe Soe","Ricardo Gustavo Rodríguez-Cañizo","Gerardo Aragón-Camarasa"],"tags":["Collaborative design","Knowledge management","Computer science","Systems engineering","Engineering ethics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-11","doi":"https://doi.org/10.3390/electronics14101952","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160038722","name":"Sustainable and resilient cyber-physical production systems: A systematic literature review","source":"openalex","abstract":"Abstract Cyber-physical production systems (CPPSs) enable intelligent decision-making, self-diagnosis, predictive maintenance, and real-time monitoring, thereby enhancing resilience, sustainability, and operational efficiency, and positioning them as central to the Industry 5.0 vision. However, current CPPS design and assessment approaches often treat resilience and sustainability separately, lacking an integrated framework. To address this gap, this study introduces the concept of sustainable and resilient CPPSs (SR-CPPSs) and systematically reviews 69 studies to synthesize current approaches, frameworks, methods, and parameters for the design and assessment of SR-CPPSs. The findings identify key categories that clarify how resilience and sustainability principles are integrated into the development and evaluation of CPPSs. The review reveals significant advancements in resilience-oriented CPPS research, whereas sustainability-focused approaches remain limited. This paper highlights that sustainability can reinforce resilience by supporting long-term system viability, while resilience contributes to sustainability by mitigating disruption-induced resource losses and operational inefficiencies. However, this relationship is not always synergistic, trade-offs may emerge depending on design configurations and operational contexts, and this study analyses them. Furthermore, this paper proposes a systemic roadmap for CPPS’s sustainability assessment to realize sustainability goals in SR-CPPS research. The review provides insights into current academic and industrial challenges in advancing SR-CPPSs, including human–automation interaction, lifecycle-oriented evaluation, dynamic adaptation under uncertainty, and the management of time-dependent system complexity. Finally, this work outlines a future research agenda for SR-CPPSs to advance manufacturing systems toward resilient, adaptable, and environmentally responsible production ecosystems, thereby supporting the twin green and digital transitions.","url":"https://doi.org/10.1093/jcde/qwag043","authors":["Humberto Alejandro Barrero-Arciniegas","Ali Asghar Bataleblu","Erwin Rauch","Dominik T. Matt"],"tags":["Sustainability","Resilience (materials science)","Engineering","Production (economics)","Adaptation (eye)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"https://doi.org/10.1093/jcde/qwag043","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2906419592","name":"Book highlight—The self‐aware factory floor: AI in production, supply chain, and distribution","source":"openalex","abstract":"For centuries, factories have been the paragon of automation.Also, the people who work in factories, as a result, have often been measured by the standards of machines.Hence, it is no surprise that the relationship between people and machines in industry has been fraught, with human workers feeling as if they have been dealt a losing hand.There is ample reason for that feeling.Since 2000, the United States has lost 5 million manufacturing jobs, roughly half of that through efficiency gains and automation (Correll, 2017).But things are not as clear-cut as they might first seem.The second wave of business transformation was all about automating existing processes, and it was during this era that many humans were replaced by machines.In contrast, the third wave relies on adaptive processes that are reimagined from scratch, and the goal here is humans + machines.In this current era, thanks to artificial intelligence (AI), factories are acquiring a little more humanity: Jobs on manufacturing lines, for instance, have changed in nature and are increasing in number.Also, it is not just manufacturing.AI is boosting the value of engineers and managers, too.The emergence of AI is also creating brand-new roles and new opportunities for people up and down the industrial value chain.In this era of reimagining processes with AI, the great irony is that some of the most-automated environments-the factory and other industrial settings-are experiencing a renaissance of human labor.From the assembly line worker and maintenance specialist to robot engineer and operations manager, AI is rejiggering the concept of what it means to work in an industrial setting.In many cases, AI is freeing up time, creativity, and human capital, essentially letting people work more like humans and less like robots.One implication of the fact that people can work differently and better with the help of AI is that companies are gaining efficiencies and saving money.But perhaps more importantly in the long term is that companies are also starting to rethink their business processes.Also, as they do, they uncover the need for new kinds of jobs for people, and wholly new ways of doing business.But let's not get ahead of ourselves.This is a complex journey.(For some historical perspective, see \"A Brief History of AI.\") Before we rewrite business processes, job descriptions, and business models, we need to answer these questions: What tasks do humans do best, and what do machines do best?There are jobs and tasks that will continue to shift to robots based on their comparative advantages in handling repetition and data processing power.But the transfer of jobs is not simply one way.We surveyed a number of companies that have already answered the human-machine question for manufacturing, maintenance, warehouses, and agriculture.These early movers have put people and AIenhanced machines into play, in the roles that they are best suited to, and they are reaping the benefits.","url":"https://doi.org/10.1002/joe.21901","authors":["Paul R. Daugherty","H. James Wilson"],"tags":["Factory (object-oriented programming)","Citation","Supply chain","Production (economics)","Permission"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-11-01","doi":"https://doi.org/10.1002/joe.21901","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4386716775","name":"Metaverse-Based Softbot Tutors for Inclusive Industrial Workplaces: Supporting Impaired Operators 5.0","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-43662-8_47","authors":["Lara Popov Zambiasi Bazzi Oberderfer","Ricardo J. Rabelo","Saulo Popov Zambiasi","David Romero"],"tags":["TUTOR","Architecture","Computer science","Human–computer interaction","Software"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1007/978-3-031-43662-8_47","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4206102366","name":"A Review on the CO2 Emission Reduction Scheme and Countermeasures in China’s Energy and Power Industry under the Background of Carbon Peak","source":"openalex","abstract":"To reach the peak of carbon emission in China, the energy and power industry has the most arduous task and the heaviest responsibility. It should not only ensure efficient economic development, but also complete the arduous task of energy conservation and emission reduction. It is the main force in helping reach the peak of carbon emission. Taking the achievement of carbon peak in China’s power industry as the research object, this paper utilizes time series analyses to establish CO2 emission prediction models for China and its power industry under two scenarios: with and without a carbon peak target. The paper analyzes the current status of achieving carbon peak in China’s power industry and puts a forward CO2 emission reduction scheme for China and its power industry in the future. On this basis, countermeasures for China’s power industry to deal with carbon peak are explored.","url":"https://doi.org/10.3390/su14020879","authors":["Bin Zheng","Sheng Wang","Jingxin Xu"],"tags":["Electric power industry","China","Carbon fibers","Energy conservation","Power (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-13","doi":"https://doi.org/10.3390/su14020879","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W2292838843","name":"Into the Dark Domain: The UK Web Archive as a Source for the Contemporary History of Public Health","source":"openalex","abstract":"With the migration of the written record from paper to digital format, archivists and historians must urgently consider how web content should be conserved, retrieved and analysed. The British Library has recently acquired a large number of UK domain websites, captured 1996-2010, which is colloquially termed the Dark Domain Archive while technical issues surrounding user access are resolved. This article reports the results of an invited pilot project that explores methodological issues surrounding use of this archive. It asks how the relationship between UK public health and local government was represented on the web, drawing on the 'declinist' historiography to frame its questions. It points up some difficulties in developing an aggregate picture of web content due to duplication of sites. It also highlights their potential for thematic and discourse analysis, using both text and image, illustrated through an argument about the contradictory rationale for public health policy under New Labour.","url":"https://doi.org/10.1093/shm/hkv028","authors":["Martin Gorsky"],"tags":["Public domain","Argument (complex analysis)","Domain (mathematical analysis)","Historiography","Frame (networking)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2015-06-03","doi":"https://doi.org/10.1093/shm/hkv028","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4386072620","name":"In situ Simulation of Thermal Reality","source":"openalex","abstract":"Simulated reality encompasses virtual, augmented, and mixed realities-each characterized by different degrees of truthfulness in the visual perception: \"all false,\" \"coexistence of true and false,\" and \"difficult distinction between true and false,\" respectively. In all these technologies, however, the temperature rendering of virtual objects is still an unsolved problem. Undoubtedly, the lack of thermal tactile functions substantially reduces the quality of the user's real-experience perception. To address this challenge, we propose theoretically and realize experimentally a technological platform for the in situ simulation of thermal reality. To this purpose, we design a thermal metadevice consisting of a reconfigurable array of radiating units, capable of generating the thermal image of any virtual object, and thus rendering it in situ together with its thermal signature. This is a substantial technological advance, which opens up new possibilities for simulated reality and its applications to human activities.","url":"https://doi.org/10.34133/research.0222","authors":["Peng Jin","Jinrong Liu","Fubao Yang","Fabio Marchesoni","Jianhua Jiang","Jiping Huang"],"tags":["Rendering (computer graphics)","Perception","Thermal","Computer science","Virtual reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.34133/research.0222","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4400596547","name":"The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management","source":"openalex","abstract":"This paper explores the evolving role of data analysis and reporting in modern procurement practices, emphasizing their transformative impact on decision-making and supplier management. Historically rooted in manual processes, procurement has transitioned to data-driven methodologies propelled by technological advancements. Key aspects include data collection from diverse sources, integration into centralized systems, and application of analytical techniques such as predictive analytics and descriptive analytics. These methodologies enable procurement professionals to gain insights into spending patterns, forecast demand accurately, optimize procurement strategies, and enhance supplier relationships. The importance of real-time reporting in procurement decision-making is highlighted, enabling timely adjustments based on up-to-date insights into market conditions, supplier performance, and operational metrics. Decision Support Systems (DSS) further empower procurement managers by synthesizing complex data sets, facilitating scenario analysis, and recommending optimal cost reduction and risk mitigation strategies. Supplier management benefits significantly from data-driven approaches, with criteria like quality performance, delivery metrics, and cost competitiveness being rigorously evaluated through data analysis. Risk management strategies leverage data to anticipate and mitigate supplier-related risks, ensuring continuity and resilience in supply chain operations. The implications for the future of procurement underscore the continued evolution towards predictive supply chain analytics, blockchain technology for transparency, AI-driven automation, sustainability initiatives, and enhanced supplier collaboration platforms. These advancements will further optimize procurement processes, strengthen strategic partnerships, and drive sustainable business practices in an increasingly competitive global market.","url":"https://doi.org/10.30574/gscarr.2024.20.1.0246","authors":["Victor Ibukun Adebayo","Patience Okpeke Paul","Nsisong Louis Eyo-Udo"],"tags":["Procurement","Business","Knowledge management","Process management","Operations management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-11","doi":"https://doi.org/10.30574/gscarr.2024.20.1.0246","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7128162373","name":"Advancing Sustainable Materials Engineering with Natural-Fiber Biocomposites","source":"openalex","abstract":"Natural-fiber biocomposites are increasingly viewed as promising materials for sustainable engineering. However, their broader adoption remains constrained by coupled challenges related to interfacial compatibility, moisture sensitivity, environmental durability, processing limitations, and end-of-life trade-offs. Rather than treating fiber selection, matrix chemistry, processing routes, durability, and sustainability as independent considerations, this review emphasizes their interdependence through the fiber–matrix interface, which governs stress transfer, moisture transport, and long-term property evolution. It provides a comprehensive and integrative analysis of natural-fiber–reinforced polymer composites, encompassing plant-, animal-, and emerging bio-derived reinforcements combined with bio-based, biodegradable, and selected synthetic matrices. Comparative analysis across the literature demonstrates that interfacial engineering consistently dominates mechanical performance, moisture resistance, and property retention, while mediating trade-offs among stiffness, toughness, recyclability, and biodegradability. Moisture transport and environmental ageing are examined using thermodynamic and diffusion-controlled frameworks that link fiber chemistry, interfacial energetics, swelling, and debonding to performance degradation. Fire behavior and flame-retardant strategies are reviewed with attention to heat-release control and their implications for durability and circularity. Processing routes, including extrusion, injection molding, compression molding, resin transfer molding, and additive manufacturing, are assessed with respect to fiber dispersion, thermal stability, scalability, and compatibility with bio-based systems. By integrating structure–property relationships, processing science, durability mechanisms, and sustainability considerations, this review clarifies how natural-fiber biocomposites can be designed to achieve balanced performance, environmental stability, and circular life-cycle behavior, thereby providing guidance for the development of systems suitable for near-term engineering applications.","url":"https://doi.org/10.3390/jcs10020086","authors":["Maryam Bonyani","Ian Colvin Marincic","Sitaraman Krishnan"],"tags":["Durability","Sustainability","Compatibility (geochemistry)","Materials science","Moisture"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-06","doi":"https://doi.org/10.3390/jcs10020086","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7160291923","name":"BIBLIOMETRIC ANALYSIS OF THE INTEGRATION OF RENEWABLE ENERGY IN LEAN MANUFACTURING PRODUCTION SYSTEMS","source":"openalex","abstract":"This study presents a bibliometric analysis of the integration of renewable energy into lean manufacturing production systems using Scopus-indexed data from 2022 to 2026. The objective is to map research trends, identify dominant thematic clusters, and examine existing research gaps at the intersection of operational efficiency and energy sustainability. A total of over 1,400 documents were analyzed using VOSviewer to construct keyword co-occurrence networks and thematic maps. The findings reveal four major research clusters: (1) lean manufacturing and sustainable development, (2) Industry 4.0 and digital twins, (3) production control and optimization, and (4) hydrogen production and renewable energy systems. Despite stable publication trends in both lean manufacturing and renewable energy domains, the results indicate weak structural connections between the two fields, suggesting limited integrative research. This study highlights a significant research gap in combining lean operational principles with renewable energy applications, particularly in real-world manufacturing contexts and developing countries. It contributes by providing a comprehensive bibliometric mapping and proposing future research directions that integrate lean efficiency with sustainable energy metrics within interdisciplinary production system frameworks.","url":"https://doi.org/10.56190/jree.v4i1.81","authors":["Putri Bintang Lubis","Putri Najiha","Bintang"],"tags":["Lean manufacturing","Renewable energy","Manufacturing engineering","Production (economics)","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.56190/jree.v4i1.81","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4402272752","name":"RETRACTED ARTICLE: Attaining sustainable development via green economy catalysts in post-Covid-19 Africa: An analytical examination","source":"openalex","abstract":"Statement of Retraction: Attaining sustainable development via green economy catalysts in post-Covid-19 Africa: An analytical examinationWe, the Editors and Publisher of Sustainable Environment have retracted the following article:Salifu, G. A. N., & Salifu, Z. (2024). Attaining sustainable development via green economy catalysts in post-Covid-19 Africa: An analytical examination. Sustainable Environment, 10(1). HYPERLINK “https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1080%2F27658511.2024.2397860&data=05%7C02%7Cjch%40codemantra.com%7Cb8ee6cec0d4f423f6b6308ddb3fcd8c2%7C5489968a40664cbdb7d64a81c75a4a93%7C0%7C0%7C638864620754334605%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=iJ9tPqIobF0GOt0Dd5hXaL614zWYya28b8oCNX9KiB8%3D&reserved=0\"https://doi.org/10.1080/27658511.2024.2397860Following publication, concerns have been raised regarding the relevance of citations included in the article.Upon investigation by the journal, it was found that the article included multiple citations that bear no relevance to the subject matter; references that fail to support the associated claims; and a bibliography containing sources with no demonstrable connection to the research topic.When contacted by the journal for an explanation, the authors were unable to address the concerns raised. As a result of these concerns, the editor-in-chief no longer has confidence in the validity of the findings in the article, and therefore we are retracting the article from the journal.We have been informed in our decision-making by our editorial policies and the COPE guidelines.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.","url":"https://doi.org/10.1080/27658511.2024.2397860","authors":["Gamel Abdul-Nasser Salifu","Zubeiru Salifu"],"tags":["Coronavirus disease 2019 (COVID-19)","Sustainable development","2019-20 coronavirus outbreak","Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","Green economy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-05","doi":"https://doi.org/10.1080/27658511.2024.2397860","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4413247004","name":"A Review of Key Factors Shaping the Development of the U.S. Wind Energy Market in the Context of Contemporary Challenges","source":"openalex","abstract":"The United States has emerged as a global leader in wind energy deployment, yet the industry faces evolving challenges linked to policy uncertainty, infrastructure constraints, and supply chain disruptions. This review aims to analyze selected aspects of the U.S. wind energy market in light of recent economic, regulatory, and environmental developments. Drawing upon the academic literature, policy documents, and industry reports, the paper outlines key trends in both onshore and offshore wind sectors, evaluates technological and economic progress, and identifies structural barriers that may hinder further growth. Special attention is given to the role of federal incentives, such as the Inflation Reduction Act, and to the regional differentiation in wind capacity expansion. Additionally, the potential of small-scale wind systems for individual- and community-level energy resilience is explored as an underrepresented area in current research. The findings suggest that while the U.S. wind market holds significant untapped potential, strategic improvements in grid modernization, permitting processes, and public engagement are essential. The review highlights the need for more inclusive and regionally sensitive policy approaches to unlock future development pathways in the U.S. wind energy sector.","url":"https://doi.org/10.3390/en18164224","authors":["Sebastian Zupok","Ewa Chomać-Pierzecka","Artur Dmowski","Stefan Dyrka","Andrzej Hordyj"],"tags":["Context (archaeology)","Wind power","Incentive","Offshore wind power","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-08","doi":"https://doi.org/10.3390/en18164224","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4405324287","name":"Development and testing of a cost-effective vision system for programmable logic controllers monitoring","source":"openalex","abstract":"Programmable Logic Controllers (PLCs) are used extensively in manufacturing to control and manage processes. The data from PLC systems can provide useful information for manufacturers looking to model processes, analyse performance and identify bot-tlenecks. However, real-time data collection in older PLCs requires invasive changes to the existing PLC or a complete replacement for a new smart connected PLC; this intrusive work leads to disruption in production and requires specialist knowledge. This paper presents a low-cost, non-invasive approach to collecting PLC data. It uses off-the-shelf components and open-source software. A camera is positioned in front of the PLC I/O module panel. The indicator lights’ display is recorded and processed to extract state information. The system has been evaluated in the lab under different PLC running frequencies and various lighting conditions. This innovative approach of using a vision system to collect PLC data is shown to be feasible and robust enough for use in manufacturing environments.","url":"https://doi.org/10.1049/icp.2024.3493","authors":["Zhengyang Ling","Sam Brook","Duncan McFarlane","Alan Thorne","Gregory Hawkridge"],"tags":["Computer science","Programmable logic controller","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-01","doi":"https://doi.org/10.1049/icp.2024.3493","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4409625572","name":"Sustainable biochar: Market development and commercialization to achieve ESG goals","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rser.2025.115744","authors":["Sachini Supunsala Senadheera","Piumi Amasha Withana","Siming You","Daniel C.W. Tsang","Sung Yeon Hwang","Yong Sik Ok"],"tags":["Biochar","Commercialization","Business","Sustainable development","Natural resource economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1016/j.rser.2025.115744","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4399376634","name":"An ultrathin membrane mediates tissue-specific morphogenesis and barrier function in a human kidney chip","source":"openalex","abstract":"Organ-on-chip (OOC) systems are revolutionizing tissue engineering by providing dynamic models of tissue structure, organ-level function, and disease phenotypes using human cells. However, nonbiological components of OOC devices often limit the recapitulation of in vivo-like tissue-tissue cross-talk and morphogenesis. Here, we engineered a kidney glomerulus-on-a-chip that recapitulates glomerular morphogenesis and barrier function using a biomimetic ultrathin membrane and human-induced pluripotent stem cells. The resulting chip comprised a proximate epithelial-endothelial tissue interface, which reconstituted the selective molecular filtration function of healthy and diseased kidneys. In addition, fenestrated endothelium was successfully induced from human pluripotent stem cells in an OOC device, through in vivo-like paracrine signaling across the ultrathin membrane. Thus, this device provides a dynamic tissue engineering platform for modeling human kidney-specific morphogenesis and function, enabling mechanistic studies of stem cell differentiation, organ physiology, and pathophysiology.","url":"https://doi.org/10.1126/sciadv.adn2689","authors":["Xingrui Mou","Jessica Shah","Yasmin Roye","Carolyn Du","Samira Musah"],"tags":["Morphogenesis","Function (biology)","Cell biology","Organ-on-a-chip","Kidney"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-05","doi":"https://doi.org/10.1126/sciadv.adn2689","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4200175693","name":"Mining Waste as a Potential Additional Source of HREE and U for the European Green Deal: A Case Study of Bangka Island (Indonesia)","source":"openalex","abstract":"The European Commission has adopted the European Green Deal strategy, which aims to achieve climate neutrality in the EU by 2050. To achieve this goal, it is necessary to shift the economy toward the use of green and renewable energy. Critical raw materials (CRMs), Li, Co, REE, Te, Sc and others, are used in renewable energy sources (RES) production. The EU lacks its own CRM deposits, and additionally, the access to already identified deposits is limited, which is making the EU countries search for alternative CRM sources. One such source of CRMs may be mining waste generated on the Indonesian island of Bangka as a result of processing cassiterite-bearing sands. Studies of the mineral composition of the waste using the XRD method reveal rich contents of xenotime (0.79–17.55 wt%), monazite (1.55–21.23 wt%), zircon (1.87–64.35 wt%) and other minerals, carriers of valuable metals, such as Sn, Ti, Nb, Ta. The point mineral chemistry analyses were performed using EPMA. Xenotime is the main carrier of heavy rare earth elements (HREE), especially the “most critical” HREEs: Gd2O3 (1.42–7.16 wt%), Dy2O3 (2.28–11.21 wt%), Er2O3 (2.44–7.85 wt%), and Yb2O3 (1.71–7.10 wt%). Xenotime is characterized by a complex internal structure resulting from metasomatic processes occurring during their formation. In SEM-BSE imaging, they show zonation of internal structure, which is the effect of an HREE, Y, Si and U substitution in the crystal structure. On the other hand, thorite ThSiO4 and uranothorite (Th,U)SiO4 inclusions are present in xenotimes. The ICP-MS/ES studies of tailings reveal very high contents of HREE + Y (up to 7.58 wt%), U (up to 0.11), Th (up to 0.75 wt%) and Sc (132 ppm). A CRM source diversification is part of the strategy to ensure the security of raw materials for countries of the European Union and the green transformation of the continent. Bilateral EU–Indonesia cooperation in the geological exploration and development of primary and secondary sources may contribute to an increase in the supply of HREEs to the global market.","url":"https://doi.org/10.3390/min12010044","authors":["Karol Zglinicki","Rafał Małek","Krzysztof Szamałek","Stanislaw Wołkowicz"],"tags":["Monazite","Zircon","Renewable energy","Geochemistry","Mineral"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-28","doi":"https://doi.org/10.3390/min12010044","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4409449764","name":"Quantitative Phase Imaging with a Meta-Based Interferometric System","source":"openalex","abstract":"Optical phase imaging has become a pivotal tool in biomedical research, enabling label-free visualization of transparent specimens. Traditional optical phase imaging techniques, such as Zernike phase contrast and differential interference contrast microscopy, fall short of providing quantitative phase information. Digital holographic microscopy (DHM) addresses this limitation by offering precise phase measurements; however, off-axis configurations, particularly Mach-Zehnder and Michelson-based setups, are often hindered by environmental susceptibility and bulky optical components due to their separate reference and object beam paths. In this work, we have developed a meta-based interferometric quantitative phase imaging system using a common-path off-axis DHM configuration. A meta-biprism, featuring two opposite gradient phases created using GaN nanopillars selected for their low loss and durability, serves as a compact and efficient beam splitter. Our system effectively captures the complex wavefronts of samples, enabling the retrieval of quantitative phase information, which we demonstrate using standard resolution phase targets and human lung cell lines. Additionally, our system exhibits enhanced temporal phase stability compared to conventional off-axis DHM configurations, reducing phase fluctuations over extended measurement periods. These results not only underline the potential of metasurfaces in advancing the capabilities of quantitative phase imaging but also promise significant advancements in biomedical imaging and diagnostics.","url":"https://doi.org/10.1021/acsami.5c02901","authors":["Cheng Hung Chu","Chen-Ming Tsai","Takeshi Yamaguchi","Yuxiang Wang","Takuo Tanaka","Huei‐Wen Chen","Yuan Luo","Din Ping Tsai"],"tags":["Materials science","Interferometry","Phase imaging","Phase (matter)","Optics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-15","doi":"https://doi.org/10.1021/acsami.5c02901","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7119499860","name":"Multi-Modal Fusion for Yield Optimization: Integrating Wafer Maps, Metrology, and Process Logs with Graph Models","source":"openalex","abstract":"Yield optimization in advanced manufacturing rarely proceeds as a tidy pipeline; it arises from the gradual convergence of evidence across spatial wafer patterns, multivariate metrology, and asynchronous process and equipment events that interact in ways that are only partially observable. Prior studies often separate these modalities, assigning convolutional encoders to wafer maps, sequence models to metrology, and template based encoders to logs, an arrangement that can perform well locally yet struggles to sustain cross-modal alignment or to reason over the hierarchy that links defects to steps and equipment. Building on these observations, we introduce a manufacturing semantics oriented framework that embeds lots, wafers, dies, steps, equipment, and recipes in a heterogeneous graph, and uses cross modal attention gating to reconcile image, time series, and event representations while performing relation aware message passing. The research was not frictionless; time synchronization required iterative windowing, spatial normalization exposed orientation drift, and naive imputation inflated variance in rare steps, which motivated temperature controlled gating and a lightweight contrastive warm-up. On two production lines the approach improves, to some extent, standard classification metrics and stabilizes top k attribution under feasible latency. Alternative explanations remain possible, including benefits from stricter leakage control or product specific distributions. The work makes explicit the structural link among defects, process, and equipment, and points toward auditable, engineer actionable analytics; further research is needed on long term stability, cross site generalization, and the joint optimization of accuracy, cost, and energy.","url":"https://doi.org/10.62762/tetai.2025.259226","authors":["Min Yin","Ledee-FI Frank"],"tags":["Computer science","Data mining","Encoder","Sketch","Outlier"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.62762/tetai.2025.259226","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4414253312","name":"The impact of integrating artificial intelligence and Building information modeling (BIM) systems on the development of construction methodologies","source":"openalex","abstract":"Abstract The integration of Artificial Intelligence (AI) with Building Information Modelling (BIM) systems is driving a profound transformation in project delivery approaches, necessitating a systematic evaluation of its impact on design and construction processes. This study explores how AI-BIM integration enhances construction efficiency, with a focus on improving accuracy, productivity, and decision-making across project lifecycles. The research employs a mixed-methods approach, combining theoretical and applied analyses. Through descriptive-analytical methods, we assessed conceptual frameworks and the latest technological advancements were assessed, while deductive analysis was applied to real-world case studies. A practical case study of a construction project utilizing AI-BIM integration was examined to evaluate its benefits and challenges. The findings reveal significant improvements in construction methodologies, including: Enhanced design automation through AI-driven generative solutions. Faster structural and energy performance analysis using machine learning algorithms. Greater planning accuracy and improved decision-making in early project phases. Reduced errors and costs via intelligent automation and predictive modelling. The study recommends: Developing standardized frameworks for AI-BIM integration in construction practices, Implementing specialized training programs to upskill professionals in AI and BIM technologies Conducting further research to measure long-term economic and time-saving impacts of AI-BIM adoption.","url":"https://doi.org/10.1007/s43995-025-00193-2","authors":["Ahmed Attia"],"tags":["Automation","Systems engineering","Building information modeling","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-16","doi":"https://doi.org/10.1007/s43995-025-00193-2","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W1999513851","name":"Improving the systems engineering process with multilevel analysis of interactions","source":"openalex","abstract":"Abstract The systems engineering V (SE-V) is an established process model to guide the development of complex engineering projects (INCOSE, 2011). The SE-V process involves decomposition and integration of system elements through a sequence of tasks that produce both a system design and its testing specifications, followed by successive levels of build, integration, and test activities. This paper presents a method to improve SE-V implementation by mapping multilevel data into design structure matrix (DSM) models. DSM is a representation methodology for identifying interactions between either components or tasks associated with a complex engineering project (Eppinger & Browning, 2012). Multilevel refers to SE-V data on complex interactions that are germane either at multiple levels of analysis (e.g., component versus subsystem) conducted either within a single phase or across multiple time phases (e.g., early or late in the SE-V process). This method extends conventional DSM representation schema by incorporating multilevel test coverage data as vectors into the off-diagonal cells. These vectors provide a richer description of potential interactions between product architecture and SE-V integration test tasks than conventional domain mapping matrices. We illustrate this method with data from a complex engineering project in the offshore oil industry. Data analysis identifies potential for unanticipated outcomes based on incomplete coverage of SE-V interactions during integration tests. In addition, assessment of multilevel features using maximum and minimum function queries isolates all the interfaces that are associated with either early or late revelations of integration risks based on the planned suite of SE-V integration tests.","url":"https://doi.org/10.1017/s089006041400050x","authors":["Steven D. Eppinger","Nitin Joglekar","Alison Olechowski","Terence Teo"],"tags":["Computer science","Design structure matrix","Modular design","Process (computing)","Data integration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2014-09-30","doi":"https://doi.org/10.1017/s089006041400050x","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7119140806","name":"Artificial intelligence and robotics in predictive maintenance: a comprehensive review","source":"openalex","abstract":"The integration of artificial intelligence (AI) and robotics into predictive maintenance (PdM) systems has brought about a fundamental change in the operations of the industries since it has left behind the previous method of reactive and scheduled maintenance models in favor of proactive and data-driven models. The current systematic review of literature (2015-2025) is aimed at the development of PdM, in which AI techniques, machine learning, sensor technology, and the incorporation of robotics contribute to more efficient systems and address the difficulties in their implementation and implications for the future of industries. The findings show that the support vector machines and neural networks with supervised learning algorithms are very accurate in fault classification and the remaining useful life prediction. On the other hand, the methods of unsupervised learning can be applied in the detection of anomalies in cases where a limited quantity of labelled data exists. Examples of deep learning architectures that are more effective in processing more complex sensor data, as well as time-series patterns, include convolutional neural networks (CNNs) and long short-term memory (LSTM) networks. Moreover, sensor systems that are already linked to the IoT provide the ability to monitor in real time, and this significantly improves fault detection. The AI-based PdM systems in combination are highly rewarded with reduced downtime, longer equipment life, and enhanced maintenance scheduling. There are still, however, concerns about data quality, computation loads, and implementation cost that remain a major barrier to common usage. The future of AI should be on explainable AI, hybrid modelling techniques, and enhanced sensor technology to render AI scalable, interpretable, and more industry-applicable.","url":"https://doi.org/10.3389/fmech.2025.1722114","authors":["Joseph Azeta","Theodore Tochukwu Omeche","Ilesanmi Daniyan","Johnson Opeyemi Abiola","Lanre Daniyan","Humbulani Simon Phuluwa","Rumbidzai Muvunzi"],"tags":["Artificial intelligence","Robotics","Machine learning","Computer science","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-07","doi":"https://doi.org/10.3389/fmech.2025.1722114","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4400914617","name":"Supply chain management and operational efficiency in affordable housing: An integrated review","source":"openalex","abstract":"Effective supply chain management (SCM) and operational efficiency are critical to the successful delivery of affordable housing projects. This integrated review explores how SCM and operational practices impact the development and sustainability of affordable housing, highlighting strategies that enhance project efficiency and cost-effectiveness. Supply chain management in affordable housing involves coordinating the flow of materials, information, and services from suppliers to construction sites. Efficient SCM ensures that resources are delivered on time, within budget, and to the required quality standards, which is crucial for maintaining project schedules and controlling costs. Key components of SCM in this sector include procurement, logistics, inventory management, and supplier relationship management. Effective SCM practices help mitigate risks related to delays, cost overruns, and quality issues. Operational efficiency in affordable housing focuses on optimizing construction processes, minimizing waste, and enhancing productivity. This involves adopting best practices in construction management, such as lean construction techniques, modular and prefabricated building methods, and advanced project management tools. Operational efficiency also extends to the management of workforce resources, ensuring that labor is effectively utilized and that productivity is maximized. The review integrates insights from various case studies and industry reports to illustrate how SCM and operational efficiency practices can be applied in affordable housing projects. For instance, the adoption of just-in-time inventory systems and the use of technology for real-time tracking and coordination have proven effective in reducing costs and improving delivery times. Additionally, lean construction methods have demonstrated their potential in enhancing project efficiency and reducing waste. However, challenges remain, including supply chain disruptions, fluctuating material costs, and coordination issues among stakeholders. Addressing these challenges requires a collaborative approach, involving stakeholders such as developers, contractors, suppliers, and policymakers. In conclusion, effective supply chain management and operational efficiency are essential for the successful development of affordable housing. By adopting best practices and leveraging technology, stakeholders can improve project outcomes, reduce costs, and enhance the overall efficiency of affordable housing projects. This integrated review underscores the importance of SCM and operational practices in achieving sustainable and cost-effective housing solutions.","url":"https://doi.org/10.30574/msarr.2024.11.2.0113","authors":["Adetola Adewale Akinsulire","Courage Idemudia","Azubuike Chukwudi Okwandu","Obinna Iwuanyanwu"],"tags":["Affordable housing","Business","Supply chain management","Supply chain risk management","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-23","doi":"https://doi.org/10.30574/msarr.2024.11.2.0113","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4411059115","name":"Circular Material Flows, the Twin Transition of Manufacturing, and the Future of Labour","source":"openalex","abstract":"In this chapter, we focus on the “twin transition” of manufacturing and the future of labour within the context of the circular economy and ocean plastics. Our point of departure is the sustainability challenges associated with ocean plastics, the fishing industry, and local coastal communities, and we first describe the existing challenges before presenting issues related to sustainability and circularity. We then discuss the related future opportunities for the labour market given that we are beginning to see the re-imagining and re-routing of material from linear to circular flows. We illustrate this through presenting the “microfactory” concept first developed under the Peniche Ocean Watch Initiative in Portugal, where the re-routing and re-purposing of discarded fishing nets is done on-site, in the local context, to be later re-imagined into new forms of use, in this case, recyclable furniture produced through large-scale additive manufacturing. We then return to our overarching discussion – how a turn to nature might also be a turn for the future of labour, and conclude by pinpointing how this turn offers an alternative way forward – one that by staying close to nature is inclusive, sustainable, and circular.","url":"https://doi.org/10.4324/9781003391333-17","authors":["Robin Teigland","Mikael Wiberg","Jon Erik Borgen","Mafalda de Freitas","Johan Landberg","Mohammad Sadegh Rouhi","Karoline Teigland","W. Wiest"],"tags":["Transition (genetics)","Materials science","Chemistry","Biochemistry","Gene"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-05","doi":"https://doi.org/10.4324/9781003391333-17","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7128517873","name":"Vehicle lightweighting for carbon neutrality: decarbonization mechanisms, key processes and engineering applications","source":"openalex","abstract":"Abstract The transport sector is under increasing pressure to contribute to national and global carbon-neutrality targets, and vehicle lightweighting has emerged as a core technical route for reducing energy use and CO₂ emissions. This review examines vehicle lightweighting from a decarbonization and life-cycle perspective, moving beyond traditional mass-reduction thinking toward integrated “lightweight decarbonization process systems”. First, the physical mechanisms by which mass reduction lowers tractive energy demand are analyzed for conventional and electrified powertrains, together with the secondary effects of powertrain downsizing and reduced parasitic losses. The role of life-cycle assessment (LCA) in quantifying trade-offs between higher embodied emissions of lightweight materials and use-phase energy savings is then discussed, including the influence of vehicle duty cycles, energy mixes and recycling rates. The review summarizes major technology routes for lightweighting body-in-white, chassis, powertrain and new energy vehicle subsystems, and highlights high-value opportunities in exhaust aftertreatment and thermal management systems. Key enabling processes—including low-carbon material preparation, advanced forming and casting, multi-material joining, surface engineering and digital design—are analyzed as the foundation of lightweighting-oriented decarbonization. Representative engineering applications and industrial case patterns are used to illustrate typical magnitudes of mass and CO₂ reduction and to extract lessons for integrating lightweight design with recycled and low-carbon materials. Finally, the paper identifies critical scientific questions, process and manufacturing bottlenecks, and cross-scale digitalization needs, and outlines promising directions for future “key technologies and applications” in vehicle lightweight decarbonization, with a particular focus on life-cycle CO₂ performance and real-world demonstrator platforms.","url":"https://doi.org/10.1007/s44438-026-00023-5","authors":["Yi Wang","Qiang Ma","Tingyu Wang","Bo Zhang","Dongtao Wang","Xianglong Zhang","長海 博文","Bowen Yang","Xu Ren","Jin Huang","Yingjie Zhang","Xiaoping Chen","Wenpeng Xiong","Bo Wang","Yuan Li","Xincong Liu"],"tags":["Powertrain","Process (computing)","Key (lock)","Automotive engineering","Automotive industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-10","doi":"https://doi.org/10.1007/s44438-026-00023-5","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4392730196","name":"The Impact of the New Technologies and the EU Climate Objectives on the Steel Industry","source":"openalex","abstract":"Abstract Over the last years, an ever-increasing level of automation has been observed in the steelworks. In this context, the European steel industry is committed to integrating new technologies in the production chain to evolve towards the Industry 4.0 paradigm and even beyond. The application of digital technologies aims at optimising the integration of production units to enhance product quality, process flexibility, energy and resource efficiency, environmental sustainability and productivity in the whole sector. This chapter aims at providing an overview on the challenges related to the integration of digital technologies as well as to the EU climate objectives in the European steel sector. Starting from a state-of-the-art analysis, including the progresses achieved in the field over the last few decades, this chapter presents some of the outcomes of the study carried out within the Erasmus+ industry-driven project ‘European Steel Skills Alliance (ESSA)’. The impact of digital technologies on the workforce, the technological transformation and the EU climate objectives are analysed. Moreover, the results of an analysis concerning the level of automation in the European steelworks and the digital technologies in supporting the social innovation are discussed.","url":"https://doi.org/10.1007/978-3-031-35479-3_4","authors":["Teresa Annunziata Branca","Valentina Colla","Maria Maddalena Murri","Antonius Schröder"],"tags":["Industry 4.0","European union","Context (archaeology)","Emerging technologies","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-35479-3_4","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4307182948","name":"Comparison on mechanical behavior and microstructural features between traditional and AM AISI 316L","source":"openalex","abstract":"Abstract The aim of the present work is to investigate the difference in mechanical behavior between AISI 316L obtained by the turning process and that obtained by selective laser melting (SLM). To obtain a correlation between mechanical behavior and microstructure, static tensile and fatigue tests were performed, monitoring the energy release of the material adopting, respectively, the static thermographic method (STM) and the Risitano's thermographic method (RTM). Failure analysis was performed using optical and scanning electron microscopy. The corrosion resistance was evaluated by the double‐loop electropotential reactivation (DL‐EPR). Worst mechanical properties, both under static and fatigue loading conditions, loss of corrosion resistance, and heat dissipation compared to traditional stainless steel have been found. These findings can be attributed to microstructural defects typical of the SLM printing technology.","url":"https://doi.org/10.1111/ffe.13872","authors":["Dario Santonocito","Stanislava Fintová","Vittorio Di Cocco","Francesco Iacoviello","Giacomo Risitano","Danilo D’Andrea"],"tags":["Materials science","Microstructure","Corrosion","Selective laser melting","Scanning electron microscope"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-24","doi":"https://doi.org/10.1111/ffe.13872","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7164618249","name":"Digital Twin–enabled Quality Assurance Analysis of Robotic CW-GTAW Metal Additive Manufacturing Based on Deep Learning Applied to 3d Meshes","source":"openalex","abstract":"Dissertação (mestrado) — Universidade de Brasília, Departamento de Engenharia Mecânica, 2026.","url":"https://openalex.org/W7164618249","authors":["João Vítor Arantes Cabral"],"tags":["Quality assurance","Deep learning","Artificial intelligence","Computer science","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-17","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7171916586","name":"A system-of-systems framework for Digital Twin enabled Real-Time Sustainability Reporting","source":"openalex","abstract":"The convergence of Industry 5.0 imperatives, sustainability challenges, and compulsory reporting standards necessitate advances in manufacturing analysis. Digital Twins (DTs) enable real-time manufacturing monitoring and optimization, yet remain disconnected from corporate sustainability reporting (SR). This separation restricts leveraging operational data for mandatory disclosures and seeking operational improvements from sustainability reporting insights. DT research has predominantly focused on energy efficiency, with limited attention to broader environmental dimensions. We address this gap by developing a System-of-Systems framework integrating operational DTs with SR requirements. The gap, identified through literature analysis, is confirmed using expert interviews. We identify data mismatches between DT systems with process-level data and SR using periodic, facility-level data. Applying System-of-Systems theory, we develop a four-step framework (Mapping, Matching, Measuring, Modeling) enabling systematic translation between two independent systems. The framework demonstrates how manufacturing systems DTs can both supply and respond to SR outputs. Interview cited examples using a simplified manufacturing system and exemplified SR standard demonstrate applicability. The outcome is a structured approach for integrating DTs to support SR generation, and for SR insights to inform DT-enabled operational scenarios for performance enhancement. The contribution of the DT and SR framework is both to modeling advancement as well as management practice.","url":"https://doi.org/10.1080/00207543.2026.2703757","authors":["Julia Luo","Juan Ramon Candia Jorquera","Peter David Ball","Yujia Luo","Juan Ramón Candia","Peter Ball"],"tags":["Business","Sustainability","Process management","Knowledge management","Computer science","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-29","doi":"https://doi.org/10.1080/00207543.2026.2703757","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7131299133","name":"Evaluating the suitability of handwritten text recognition for industrial operations: a practical case study on acceptance sampling inspection workflow","source":"openalex","abstract":"Abstract Handwritten Text Recognition (HTR) is an Artificial Intelligence (AI) technology designed to interpret and digitize handwritten text, enabling automated data extraction and reducing the reliance on manual processing. While HTR has been extensively developed in theory, leveraging advanced machine learning and pattern recognition models, its practical adoption remains uneven. Documented applications exist in fields such as historical document digitization, banking, and healthcare; however, its use in industrial and manufacturing contexts is still largely unexplored. This practical case study explores the use of HTR in an industrial setting by redesigning the operational execution of acceptance sampling activities in a pharmaceutical manufacturing company, in which handwritten records are traditionally used. The performance of the HTR software, which employs a patented hybrid stroke-based recognition method combining neural and statistical classifiers with structural matching, was tested and evaluated in terms of recognition accuracy and process efficiency to assess its potential to meet industrial standards. Preliminary findings indicate that while HTR can improve efficiency, limitations in recognition accuracy, and the need for human validation restrict full automation. Although promising, further advancements in recognition models and system adaptability are needed to ensure reliable and seamless integration into industrial workflows. Graphical Abstract","url":"https://doi.org/10.1007/s12008-026-02513-9","authors":["Luca Martuscelli","Italo Cesidio Fantozzi","Francesco Mancusi","Massimiliano M. Schiraldi"],"tags":["Workflow","Computer science","Process (computing)","Artificial intelligence","Adaptability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-24","doi":"https://doi.org/10.1007/s12008-026-02513-9","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4406974798","name":"Harnessing technological resources for effective growth hacking: A mixed-method framework using systematic literature review, content analysis, and multi-layer decision-Making","source":"openalex","abstract":"The rise of Industry 4.0′s digital transformations has revolutionised organisational practices and significantly influenced analysis methods. One effective strategy affected by smart technologies is growth hacking. Growth hacking equips organisations with skills in product enhancement and customer acquisition tools, drastically enhancing efficiency and effectiveness. It strengthens organisations and accelerates growth through agile processes, enabling them to maintain competitive advantages. This study aims to identify and analyse technological resources and their impacts on growth hacking features to familiarise organisations and adopt agile strategies based on learning and creativity. Using a mixed-method approach, a systematic literature review (SLR) and content analysis (CA) uncover growth hacking and smart technology features. The Bayesian best-worst method (BBWM) assesses their importance, while a set-covering based mathematical model identifies key smart technologies that bolster growth hacking features. Accordingly, the growth hacking approach includes seven features, with innovation and creativity being the most important. Furthermore, it was revealed that Big Data and Artificial Intelligence are among the most important technologies impacting the growth hacking features. Interestingly, artificial intelligence has the potential to promote all features and increase the efficiency and speed of analysis in growth hacking.","url":"https://doi.org/10.1016/j.jbusres.2025.115180","authors":["Hannan Amoozad Mahdiraji","Hojatallah Sharifpour Arabi","Keru Duan","Demetris Vrontis"],"tags":["Hacker","Computer science","Layer (electronics)","Content analysis","Management science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-30","doi":"https://doi.org/10.1016/j.jbusres.2025.115180","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7166491491","name":"A System-of-Systems Framework for Digital Twin enabled Real-Time Sustainability Reporting","source":"openalex","abstract":"The convergence of Industry 5.0 imperatives, sustainability challenges, and compulsory reporting standards necessitate advances in manufacturing analysis. Digital Twins (DTs) enable real-time manufacturing monitoring and optimization, yet remain disconnected from corporate sustainability reporting (SR). This separation restricts leveraging operational data for mandatory disclosures and seeking operational improvements from sustainability reporting insights. DT research has predominantly focused on energy efficiency, with limited attention to broader environmental dimensions. We address this gap by developing a System-of-Systems framework integrating operational DTs with SR requirements. The gap, identified through literature analysis, is confirmed using expert interviews. We identify data mismatches between DT systems with process-level data and SR using periodic, facility-level data. Applying System-of-Systems theory, we develop a four-step framework (Mapping, Matching, Measuring, Modeling) enabling systematic translation between two independent systems. The framework demonstrates how manufacturing systems DTs can both supply and respond to SR outputs. Interview cited examples using a simplified manufacturing system and exemplified SR standard demonstrate applicability. The outcome is a structured approach for integrating DTs to support SR generation, and for SR insights to inform DT-enabled operational scenarios for performance enhancement. The contribution of the DT and SR framework is both to modeling advancement as well as management practice.","url":"https://openalex.org/W7166491491","authors":["Yujia Luo","Juan Ramon Candia Jorquera","Peter David Ball"],"tags":["Sustainability","Sustainability reporting","Process management","Business","Conceptual framework"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-07-29","doi":"","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4406002976","name":"Putting the S in Sustainable Supply Chain Management: A People‐Centric Research Agenda","source":"openalex","abstract":"ABSTRACT The aim of this disciplined provocation is to challenge some of the fundamental assumptions in supply chain management research and practice—most notably the discipline’s current conceptualization of supply chain excellence that has proven to be destructive for social‐ecological systems. It is argued that to drive the transition to sustainable supply chains, it requires emphasizing the social component of sustainable supply chain management and considering how to conduct supply chain management research that includes people and communities from the beginning. Based on this vision of foregrounding people in supply chain management research, a people‐centric research agenda that outlines the changes that are needed in how research is conducted and the topics that should be studied is introduced. The authors outline the active role that supply chain management scholars can play in developing new models of supply chain excellence that are, at a minimum, sustainable and hopefully regenerative.","url":"https://doi.org/10.1111/jscm.12337","authors":["Mark Pagell","Miriam Wilhelm"],"tags":["Business","Supply chain management","Supply chain","Process management","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1111/jscm.12337","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4293731890","name":"Cyber-Security of Industrial Internet of Things in Electric Power Systems","source":"openalex","abstract":"Electric Power Systems (EPSs) are among the most critical infrastructures of any society, since they significantly impact other infrastructures. Recently, there has been a trend toward implementing modern technologies, such as Industrial Internet of Things (IIoT), in EPSs to enhance their real-time monitoring, control, situational awareness, and intelligence. This movement, however, has exposed EPSs to various cyber intrusions that originate from the IIoT ecosystem. Statistics show that 38% of reported attacks have been against power and water infrastructure, and so far at least 91% of power utilities have experienced a cyber-attack. The cyber-security problem is even more severe for IIoT applications in EPSs due to the vulnerabilities and resource limitations of such applications. Thus, based on the above statistics, it is necessary to investigate the vulnerabilities of IIoT-based applications in EPSs, identify probable attacks and their consequences, and develop intrusion prevention and detection approaches to secure IIoT systems. On this basis, this paper first elaborates on the applications of IIoT-based systems in EPSs, and evaluates their security challenges. Afterwards, it comprehensively reviews various cyber-attacks against IIoT-assisted EPSs, with a particular focus on attack entry points and adversarial methods. Finally, efforts to prevent cyber-intrusions against IIoT systems in EPSs are explained, and different attack detection techniques are discussed.","url":"https://doi.org/10.1109/access.2022.3202914","authors":["Hamed Sarjan","Amir Ameli","Mohsen Ghafouri"],"tags":["Computer security","Computer science","Industrial Internet","Situation awareness","Industrial control system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1109/access.2022.3202914","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4405018009","name":"Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging","source":"openalex","abstract":"Recently, Deep Learning (DL) models have shown promising accuracy in analysis of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic Resonance Imaging (MRI) scans, which is then analysed via DL models. To address the model computational constraints, Cloud Computing (CC) is integrated to operate with the DL models. Recent articles on DL-based MRI have not discussed datasets specific to different diseases, which makes it difficult to build the specific DL model. Thus, the article systematically explores a tutorial approach, where we first discuss a classification taxonomy of medical imaging datasets. Next, we present a case-study on AD MRI classification using the DL methods. We analyse three distinct models-Convolutional Neural Networks (CNN), Visual Geometry Group 16 (VGG-16), and an ensemble approach-for classification and predictive outcomes. In addition, we designed a novel framework that offers insight into how various layers interact with the dataset. Our architecture comprises an input layer, a cloud-based layer responsible for preprocessing and model execution, and a diagnostic layer that issues alerts after successful classification and prediction. According to our simulations, CNN outperformed other models with a test accuracy of 99.285%, followed by VGG-16 with 85.113%, while the ensemble model lagged with a disappointing test accuracy of 79.192%. Our cloud Computing framework serves as an efficient mechanism for medical image processing while safeguarding patient confidentiality and data privacy.","url":"https://doi.org/10.1038/s41598-024-71358-7","authors":["Vivek Kumar Prasad","Ashwin Verma","Pronaya Bhattacharya","Sheryal Shah","S. Chowdhury","Madhuri Bhavsar","Sheraz Aslam","Nouman Ashraf"],"tags":["Computer science","Convolutional neural network","Preprocessor","Cloud computing","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-04","doi":"https://doi.org/10.1038/s41598-024-71358-7","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4414332026","name":"3D Bioprinting and Artificial Intelligence for Tumor Microenvironment Modeling: A Scoping Review of Models, Methods, and Integration Pathways","source":"openalex","abstract":"Recent advances in cancer research emphasize the development of physiologically relevant models to better understand tumor behavior and therapeutic responses. The tumor microenvironment (TME) plays a pivotal role in tumor progression, metastasis, and treatment resistance. Three-dimensional (3D) bioprinting offers unique capabilities for constructing complex in vitro tumor models that closely replicate the TME heterogeneity and interactions. These biomimetic models surpass the limitations of traditional 2D cultures and reduce the reliance on animal testing. This review aimed to systematically map current research on 3D bioprinting and artificial intelligence (AI) applications in modeling TME across selected cancer types. The review was structured into three thematic domains: 3D bioprinting of TME models for selected cancer types, AI applications in 3D bioprinting regardless of clinical focus, and integration of AI with 3D bioprinting specifically for TME modeling. A comprehensive literature search was conducted in PubMed, covering publications from January 2020 to June 2025. The review was conducted in accordance with PRISMA-ScR guidelines and focused on peer-reviewed original research articles published in English. Included cancer types were colorectal cancer, oral cancer, breast cancer, and glioma. In total, 63 articles were screened for TME-specific 3D bioprinting, with 44 included. For AI applications in 3D bioprinting irrespective of cancer type, 67 records were identified and 14 met the inclusion criteria. Only one study explicitly integrated AI and 3D bioprinting for TME modeling, highlighting a critical research gap. These findings are illustrated in the PRISMA flowcharts for clarity. Despite growing interest in both 3D bioprinting and AI, their combined application for modeling of the tumor microenvironment remains limited. The reviewed literature demonstrates significant progress in bioink development, process optimization, and quality control through AI methods. However, further interdisciplinary research is necessary to realize the potential of AI in enhancing TME modeling for oncology applications.","url":"https://doi.org/10.1021/acs.molpharmaceut.5c01062","authors":["Urszula Piotrowska","James Kit Hon Tsoi","Pradeep Singh","Avijit Banerjee","Marcin Sobczak"],"tags":["3D bioprinting","Tumor microenvironment","Computer science","Biofabrication","Cancer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-18","doi":"https://doi.org/10.1021/acs.molpharmaceut.5c01062","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4312754775","name":"AI in Food and Beverage Industry","source":"openalex","abstract":"This introductory article opens the section giving an overview of the state-of-the-art AI technologies in the food and beverage industry and the current AI development in areas such as quality optimisation and analytics and predictive maintenance. It also presents future potential and opportunities for AI in the sector, covering trends of using AI and IIoT technologies in production optimisation, safety/quality, maintenance, waste reduction, environmental sustainability, and packaging. Finally, the article introduces the five contributions to this section, providing highlights on the use of AI and IIoT in various scenarios in champagne production and soybean manufacturing processes and challenges and technological advancements.","url":"https://doi.org/10.1201/9781003337232-22","authors":["Rachel Ouvinha de Oliveira","Marcello Coppola","Ovidiu Vermesan"],"tags":["Beverage industry","Business","Food industry","Food science","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.1201/9781003337232-22","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7135186645","name":"Advanced Digital Design and Intelligent Manufacturing","source":"openalex","abstract":"This Special Issue was initiated to reflect how digital technologies, data, and intelligence are reshaping mechanical engineering and production systems across the entire product life cycle [...]","url":"https://doi.org/10.3390/app16062754","authors":["Jozef Svetlík","Rudolf Jánoš","Ján Semjon"],"tags":["Manufacturing engineering","Digital manufacturing","Computer science","Engineering","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-13","doi":"https://doi.org/10.3390/app16062754","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4367315629","name":"Integrated Architecture for IoTSG","source":"openalex","abstract":"IoT is a new reality, affecting the energy industry with its cutting-edge advancements and real-time applications. It gathers actionable insights from sensor devices and gateway connectivity, then uses them to create cutting-edge services for increased productivity. It enhances overall experiences, complicated operability, and real-time decision-making even more. A power plant that uses sensor technology can automate process execution and provide better, more error-free services. IoT technology is a clever idea that guards against excessive resource use and supports consistency. IoT enables intelligent process monitoring that provides data on every aspect of the plant-process. Through IoT processing, the data is transformed into pertinent information and saved on a cloud platform for easy access. IoT also offers real-time quality monitoring, which aids in locating process nonconformities. Thus, it empowers managers to take timely, relevant actions and modify processes to raise quality and lower waste. A fundamental change is being brought about by the electricity industry's sensor-based operation. It makes use of cutting-edge processes to produce goods of high quality and satisfy corporate needs. The use of advanced analytics in business is benefiting industrialists most. In order to gather data from the assets and improve upon previous decisions, it employs sensor-enabled data. The power sector uses data analytics to optimize planning and generation. Additionally, when analytics and smart metres are combined, it makes it easier to foresee precise consumption patterns that are utilized to balance supply and demand. As a result, it lessens energy waste and wasteful energy use. Along with newer and more sophisticated concepts, IoT opens up new business prospects. It entails sensor hardware, gateway connectivity, and communication protocols that come together to create IoT architecture for various enterprises. IoT technology allows for the implementation of smart strategies for increased production and growth. IoT integrated with smart grid is a cutting-edge technology that equips companies with real-time monitoring capabilities, intelligent data management, and analytics. In order to give improved strategies for effective energy usage, new IoT applications integrated with smart grid technologies are now being implemented.","url":"https://doi.org/10.1002/9781119812524.ch5","authors":["S. Malathy","K. Sangeetha","C.N. Vanitha","Rajesh Kumar Dhanaraj"],"tags":["Analytics","Computer science","Process (computing)","Cloud computing","Big data"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-28","doi":"https://doi.org/10.1002/9781119812524.ch5","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7127115442","name":"The Tech-Savvy Entrepreneur","source":"openalex","abstract":"This is an era of rapid technological development and digital transformation which is impacting on all aspects of work, business and life. Technological skills are essential for success in business, especially for entrepreneurs and visionary startups, as business models now need to be agile, responsive, flexible and adaptable. The research is a compass for entrepreneurs who are willing to embed emerging technologies in their business models, helping them chart their course toward success. In addition to the facts and roadmaps it provides, it highlights various success stories for the best techpreneurship adoption. Abaddi integrates concepts from various disciplines, such as business, technology, digital skills, and entrepreneurship; and addresses how emerging technologies like AI, blockchain, and the metaverse can be utilized in business models and appeals to a broad audience, including technologists and business strategists. This cross-pollination of ideas from different fields enriches the content and makes it relevant to multiple research communities.","url":"https://doi.org/10.1108/978-1-83708-132-5","authors":["Samer Abaddi"],"tags":["Digital transformation","Business model","Emerging technologies","Business","Business transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"https://doi.org/10.1108/978-1-83708-132-5","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4376615795","name":"Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions","source":"openalex","abstract":"Summary The recent wave of creating an interconnected world through satellites has renewed interest in satellite communications. Private and government‐funded space agencies are making advancements in the creation of satellite constellations, and the introduction of 5G has brought a new focus to a fully connected world. Satellites are the proposed solutions for establishing high throughput and low latency links to remote, hard‐to‐reach areas. This has caused the injection of many satellites in Earth's orbit, which has caused many discrepancies. There is a need to establish highly adaptive and flexible satellite systems to overcome this. Machine Learning (ML) and Deep Learning (DL) have gained much popularity when it comes to communication systems. This review extensively provides insight into ML and DL's utilization in satellite communications. This review covers how satellite communication subsystems and other satellite system applications can be implemented through Artificial Intelligence (AI) and the ongoing open challenges and future directions.","url":"https://doi.org/10.1002/sat.1482","authors":["A.B. Bhattacharyya","Shvetha M. Nambiar","Ritwik Ojha","Amogh Gyaneshwar","Utkarsh Chadha","Kathiravan Srinivasan"],"tags":["Computer science","Communications satellite","Satellite","Telecommunications","Open research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-14","doi":"https://doi.org/10.1002/sat.1482","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W4306369212","name":"The value chain dilemma of navigating sustainability transitions: A case study of an upstream incumbent company","source":"openalex","abstract":"An increasing body of literature on sustainability transitions addresses the business strategies of incumbents but overlooks upstream companies. By addressing this gap, we aim to explore how upstream incumbents navigate sustainability transitions. Theoretically, we introduce an industry value chain perspective, integrating the concepts of center of gravity, patterns of strategic change and organizational adaptation. Empirically, we conduct an in-depth case study of how an upstream incumbent firm navigates the established value chain for lead-acid batteries and the emerging value chain for lithium-ion batteries used in electric vehicles. The company faces a dilemma as to whether and how to maintain a vertically integrated position in the established value chain, and how and when to expand into the emerging value chain. We argue and demonstrate that for upstream companies, navigating sustainability transitions is highly dependent on the anticipation of and adaptation to the complex changes in industry value chains.","url":"https://doi.org/10.1016/j.eist.2022.10.002","authors":["Armaghan Chizaryfard","Emrah Karakaya"],"tags":["Upstream (networking)","Sustainability","Dilemma","Value (mathematics)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-16","doi":"https://doi.org/10.1016/j.eist.2022.10.002","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7126029320","name":"Multistage Static and Dynamic Optimization Framework for Composite Laminates in Lightweight Urban Rail Vehicle Car Bodies","source":"openalex","abstract":"This paper presents a robust multistage optimization framework for the integration of composite laminates into the car body shell of a low-floor light rail vehicle (LRV). While structural design in low-floor vehicles is typically complex, this methodology successfully balances both static and dynamic requirements through a sequential optimization process. Developed in strict accordance with reference European standards, the methodology addresses the structural challenges inherent in low-floor architectures, where complex load paths and redistributed equipment masses require targeted reinforcement. The proposed approach sequentially addresses dynamic and static requirements through a structural optimization process. Two distinct 10-ply laminate configurations, one symmetric and one asymmetric, were investigated. The results demonstrate that the multistage optimization successfully converged to a highly mass-efficient solution, achieving a 66% reduction in laminate thickness compared to the baseline design. This significant result was accomplished while maintaining full regulatory compliance; the failure index increased by approximately 22.5% and 23.3% for the two composite laminate configurations, respectively, effectively maximizing material utilization. A key finding of this study is the preservation of structural dynamic integrity; the fundamental natural frequency was maintained at approximately 16 Hz, with a high correlation across the first ten vibration modes, confirming that the global dynamic behaviour remains unaffected. These observations provide critical insights into the synergy between hybridization and structural constraints, suggesting a systematic pathway for designers to achieve an optimal trade-off between manufacturing costs, weight reduction, and performance in advanced urban transit platforms.","url":"https://doi.org/10.3390/ma19030531","authors":["Alessio Cascino","Francesco Distaso","Enrico Meli","Andrea Rindi"],"tags":["Computer science","Vibration","Composite laminates","Dynamic programming","Reduction (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-29","doi":"https://doi.org/10.3390/ma19030531","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7115940588","name":"Evolution and research trends in virtual reality and augmented reality technologies for the architecture, engineering, and construction (AEC) industry: a systematic review and science mapping approach","source":"openalex","abstract":"This systematic review and bibliometric analysis examine the evolution and research trends of Virtual Reality (VR) and Augmented Reality (AR) technologies within the Architecture, Engineering, and Construction (AEC) industry to identify key research themes, application domains, and future directions. A comprehensive literature search was conducted using both Scopus and Web of Science databases covering publications from 2015 to 2025 to ensure robust multi-database validation. After applying engineering subject area filters, the Scopus search yielded 1,301 articles while Web of Science returned 898 articles. The methodology combined quantitative bibliometric analysis using Bibliometrix software with qualitative thematic analysis of the most-cited and relevant studies following PRISMA guidelines. Performance analysis, science mapping, and co-occurrence analysis were employed to identify research clusters and trends across both databases. Cross-database validation confirmed convergent patterns in publication growth, thematic structure, and collaboration networks, with both databases demonstrating exponential growth and similar dominant research themes centered on digital twins, virtual reality applications, and BIM integration. This study provides a comprehensive quantitative mapping of VR/AR research in the AEC industry with multi-database validation, revealing the intellectual structure and research fronts. The integrated approach combining bibliometric analysis with thematic synthesis offers insights for researchers and practitioners to understand current applications, identify research gaps, and guide future technology adoption strategies.","url":"https://doi.org/10.3389/frvir.2025.1725875","authors":["Diego Sornoza-Parrales","Günther Oberdam Baque Vera","María Leonor Parrales Poveda","Tania Maricela Macías-Parrales"],"tags":["Scopus","Data science","Thematic analysis","Augmented reality","Thematic map"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-18","doi":"https://doi.org/10.3389/frvir.2025.1725875","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7156079180","name":"Quality Assurance in Decentralized Manufacturing: A Review of Validation Frameworks for 3D-Printed Personalized Medicines","source":"openalex","abstract":"Background The pharmaceutical industry is in a paradigm shift in which the mass-production model based on one-size-fits-all is being replaced by the patient-centric model that is made possible by three-dimensional printing (3DP) and decentralized manufacturing (DM). Although 3DP enables the personalization of dosage form as never before, the translation of the technology into clinical practice is complicated by the complicated quality assurance (QA) and validation barriers. Purpose: This review critically synthesizes the existing validation frameworks of 3DP personalized medicines with special emphasis on the combination of Process Analytical Technology (PAT), Digital Twins, and the recently implemented UK MHRA 2025 regulatory framework. Methodology: Scopus-indexed literature (20192026) was searched in a PRISMA-compliant systematic search that focused on point-of-care (POC) manufacturing, real-time release testing (RTRT), and data integrity. Core Mechanisms: We consider technical modalities, such as Fused Deposition Modeling (FDM), Semi-Solid Extrusion (SSE), and Selective Laser Sintering (SLS), their respective Critical Process Parameters (CPPs) and Critical Quality Attributes (CQAs). Findings: The review identifies the Hub-and-Spoke model as the most feasible structure of decentralized QA with centralized hubs that address the issue of integrity of the pharma-ink and decentralized spokes that address the issue of process validation. In-line Near-Infrared (NIR) and Raman spectroscopy technologies that enable the real time release of doses are accurate and non-destructive (R 2 = 0.98) and allow real time verification of doses. Moreover, the Digital Twin technology improves three-stage process validation lifecycle, providing predictive maintenance and proactive quality management. Conclusion: To attain sustainable clinical implementation of the 3DP, a radical change toward Quality-by-Design (QbD) and a powerful digital infrastructure is required. In the coming 2026 and beyond, we suggest a roadmap to standardize decentralized validation to achieve the best safety and efficacy of personalized medicines.","url":"https://doi.org/10.5281/zenodo.19824633","authors":["Joardar Bikram","Karmakar Santu","Dalai Sucheta","Kundu Shristi","Chatterjee Poulomi","Chatterjee Ritam","Rudra Sourav","Gazi Anisha","Majumdar Shirsha"],"tags":["Quality assurance","Process (computing)","Personalization","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-27","doi":"https://doi.org/10.5281/zenodo.19824633","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W7117781267","name":"Injection Molding and Special Injection Molding Technologies of Polymer and Polymer Composites","source":"openalex","abstract":"Injection molding is one of the most widely employed manufacturing processes for the mass production of polymer products, owing to its high efficiency, reproducibility, and versatility [...].","url":"https://doi.org/10.3390/polym18010124","authors":["Jian Wang"],"tags":["Materials science","Molding (decorative)","Polymer","Composite material","Compression molding"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.3390/polym18010124","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"oa:W3015198163","name":"Reinforcement of Natural Rubber Latex Using Jute Carboxycellulose Nanofibers Extracted Using Nitro-Oxidation Method","source":"openalex","abstract":"'. Our study focuses on integrating sustainably processed carboxycellulose nanofibers from untreated jute biomass into NRL to enhance the mechanical strength of the material for various applications. The carboxycellulose nanofibers (NOCNF) having carboxyl content of 0.94 mmol/g was prepared and integrated into its nonionic form (-COONa) for its higher dispersion in water to increase the interfacial interaction between NRL and NOCNF. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) analyses of NOCNF showed the average dimensions of nanofibers were length (L) = 524 ± 203 nm, diameter (D) 7 ± 2 nm and thickness 2.9 nm. Furthermore, fourier transform infra-red spectrometry (FTIR) analysis of NOCNF depicted the presence of carboxyl group. However, the dynamic light scattering (DLS) measurement of NRL demonstrated an effective diameter in the range of 643 nm with polydispersity of 0.005. Tensile mechanical strengths were tested to observe the enhancement effects at various concentrations of NOCNF in the NRL. Mechanical properties of NRL/NOCNF films were determined by tensile testing, where the results showed an increasing trend of enhancement. With the increasing NOCNF concentration, the film modulus was found to increase quite substantially, but the elongation-to-break ratio decreased drastically. The presence of NOCNF changed the NRL film from elastic to brittle. However, at the NOCNF overlap concentration (0.2 wt. %), the film modulus seemed to be the highest.","url":"https://doi.org/10.3390/nano10040706","authors":["Sunil K. Sharma","Priyanka R. Sharma","Simon Lin","Hui Chen","Ken I. Johnson","Ruifu Wang","William Dias Borges","Chengbo Zhan","Benjamin S. Hsiao"],"tags":["Natural rubber","Materials science","Ultimate tensile strength","Nanofiber","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-08","doi":"https://doi.org/10.3390/nano10040706","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1007/s00170-025-17342-5","name":"Application of an industry 4.0 implementation model: digital twin-based predictive maintenance of a polish filter in palm oil refining","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-17342-5","authors":["Safaa Essalih","Zineb El Haouat","Mohamed Ramadany","Fatima Bennouna","Driss Amegouz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-10T01:57:13Z","doi":"10.1007/s00170-025-17342-5","addedAt":"2026-09-01T01:47:44.949Z","updatedAt":"2026-09-01T01:47:44.949Z"},{"id":"doi:10.1007/978-3-032-18786-4_18","name":"SOMA: a Multi-agent Digital Twin to Support Collaboration in Helicopter Engine Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-18786-4_18","authors":["Q. Lorente","Eric Villeneuve","C. Merlo","G. A. Boy","F. Thermy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T02:52:37Z","doi":"10.1007/978-3-032-18786-4_18","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003498117-2","name":"Digital twin technology fundamentals","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-2","authors":["Priyanka Gupta","Shubham Mishra","Manish Dixit"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1002/9781119842316.ch14","name":"Possibilities with Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch14","authors":["Vismay Shah","Anilkumar Suthar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch14","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003132868-5","name":"Architecture of Digital Twin for Network Forensic Analysis Using Nmap and Wireshark","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003132868-5","authors":["Kapil Kumar","Manju Khari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T19:47:30Z","doi":"10.1201/9781003132868-5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_5","name":"Additive Manufacturing in Industry 5.0: Techniques, Applications, and Future Trends","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_5","authors":["Padmakumar Muthuswamy","Mogana Priya Chinnasamy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:45:26Z","doi":"10.1007/978-3-031-91500-0_5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-21343-4_9","name":"Demystifying the Digital Twin: Turning Complexity into a Competitive Advantage","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_9","authors":["Tim Kinman","Dale Tutt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_9","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_38","name":"Advanced Robotics Application in Industry 5.0 Manufacturing Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_38","authors":["Vishakha Shadija","Vipin Sharma","Rajendra Kumar Shukla"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:53:48Z","doi":"10.1007/978-3-031-91500-0_38","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003507390-8","name":"Digital Twin Applications in the Agriculture and Farming Domain","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-8","authors":["R Sivaretinamohan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-8","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003469612-2","name":"Digital Twin Types and Design","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-2","authors":["Pallavi Jain","Sunil Kumar Boran","Bhairvee Singh","Pankaj Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T14:51:45Z","doi":"10.1201/9781003469612-2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_6","name":"Additive Manufacturing and 3D Printing Revolution in Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_6","authors":["Ngoc-Hien Tran","Thai-Son Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T00:18:29Z","doi":"10.1007/978-3-031-91500-0_6","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_12","name":"Machine Learning for Optimized Additive Manufacturing: Challenges, Opportunities, and Sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_12","authors":["Wisdom Simwila Kalunga","G. Prasad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:38:56Z","doi":"10.1007/978-3-031-91500-0_12","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00002-1","name":"Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00002-1","authors":["Hediye Orhan","Esma Nisa Candan","Alperen Eroğlu","Hüseyin Haklı"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-29T12:11:31Z","doi":"10.1016/b978-0-443-45573-5.00002-1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7260325","name":"A Digital-Twin Multi-agent Framework for Enterprise Cognitive Networking: ECNetBench and Leakage-safe Multi-seed Evaluation","source":"crossref","abstract":"Enterprise cognitive networking lacks a shared, leakage-safe benchmark that couples multi-layer configuration, multi-modal telemetry, and supervised NetOps labels. We present ECNetBench, a synthetic enterprise benchmark under AOS-CX-style operational assumptions, and an Enterprise Cognitive Network (ECN-v3) with Perception, Anomaly, Prediction, RCA, Impact, and Healing agents. The final T1 detector combines leakage-safe temporal enrichment with anchored telemetry-first fusion; nesting-safe stacking is retained only as a negative ablation. On six frozen instances with a temporal 70/15/15 protocol, ECN-v3 attains mean T1 AUPRC 0.115 (bootstrap 95% CI [0.068, 0.168]), above random forest (0.076) and the prior v2 configuration (0.058), while paired tests versus RF remain non-significant at n=6. The recommended T2 head is telemetry logistic regression. The contribution is a reproducible multi-seed benchmark and an evidence-selected detection-RCAhealing decision-support pipeline with honest multi-seed statistics.","url":"https://doi.org/10.2139/ssrn.7260325","authors":["Audrey Rah"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-14T11:06:24Z","doi":"10.2139/ssrn.7260325","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.promfg.2020.11.026","name":"A digital twin approach to predict and compensate distortion in a High Pressure Die Casting (HPDC) process chain","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.promfg.2020.11.026","authors":["Alireza Ebrahimi","Udo Fritsching","Michael Heuser","Dirk Lehmhus","Adrian Struß","Anastasiya Toenjes","Axel von Hehl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-12-24T23:54:18Z","doi":"10.1016/j.promfg.2020.11.026","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1080/0951192x.2020.1852600","name":"Digital twin-enabled smart industrial systems: a bibliometric review","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2020.1852600","authors":["Maria Pia Ciano","Rossella Pozzi","Tommaso Rossi","Fernanda Strozzi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-12-17T00:09:13Z","doi":"10.1080/0951192x.2020.1852600","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.6876254","name":"A Data-Centric Digital Twin Framework for Heterogeneous Engineering Information Integration in Industrial Product Development","source":"crossref","abstract":"Modern products have reached a level of complexity that often necessitates the use of multiple software tools during development, for example, for modeling, simulation, data processing, and visualization. At the same time, sustainable data management has become critical to ensure long-term accessibility, as generating data is costly and data-driven methods are gaining importance. This work proposes a software framework architecture based on a data-centric concept of a Digital Twin, tailored to generic product development. A multi-zone data lake architecture is introduced that separates ingestion, refinement, and compliance stages and is complemented by a knowledge base for metadata enrichment, governance, and inference. On this foundation, a generic metadata model is designed to support flexible grouping, traceability, schema evolution, and data provenance for both virtual and physical entities. The concepts are validated through an industrial case study of an automotive pressure sensor, demonstrating how the proposed Digital Twin structure supports variant management, dependency analysis, and the integration of measurements, simulations, and validation data. Finally, a modular software framework architecture is presented that combines a data lake, a knowledge base, and application services for visualization, data processing, simulation, and workflow automation, providing small and medium-sized engineering teams a practical foundation to integrate industrial information into their product development.","url":"https://doi.org/10.2139/ssrn.6876254","authors":["Jan Wagner","Peter Thoma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T03:15:25Z","doi":"10.2139/ssrn.6876254","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1039/d6ra01076h/v2/review1","name":"Review for \"Degradation-as-Signal: A Digital-Twin Framework for Disposable Optical Glucose Sensing with Lead-Free Perovskite-Inspired Films\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d6ra01076h/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T21:02:01Z","doi":"10.1039/d6ra01076h/v2/review1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.31399/asm.hb.v21.a0007170","name":"Path to the Digital Twin of Automated Fiber Placement","source":"crossref","abstract":"Abstract The digital twin of a manufactured part is enabled by high-quality process feedback data integrated within a digital environment. This article describes this process, using the example of a novel sensing technology mounted to the head of an automated fiber placement (AFP) machine for in-process inspection and digitization of the as-fabricated component. It details the critical building blocks to create the as-built AFP component digital twin through lay-up surface digitization during the process using a head-mounted profilometer. The most challenging factors for sensor selection for AFP lay-up surface digitization are described. The article provides an overview of synchronizing data streams among sensors and the AFP machine. An example of schematic data treatment workflow for AFP process digitization is also provided.","url":"https://doi.org/10.31399/asm.hb.v21.a0007170","authors":["Marc Palardy-Sim","Steven Roy","Ali Yousefpour"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T11:01:35Z","doi":"10.31399/asm.hb.v21.a0007170","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1365/s40702-025-01236-x","name":"Entwicklung im Doppeltakt: Integrierte Reifegradbewertung digitaler und nachhaltiger Transformation mit der Twin-Transformation-Matrix","source":"crossref","abstract":"Zusammenfassung Angesichts zunehmender Regulierungs- und Transparenzanforderungen im Nachhaltigkeitskontext erweist sich eine isolierte Betrachtung der digitalen Transformation in Unternehmen heutzutage als unzureichend. Die Twin Transformation, oder auch Twin Transition, bezeichnet dementsprechend die Kopplung digitaler und nachhaltiger Veränderungsprozesse, die in bestehenden Reifegradmodellen jedoch bislang überwiegend unabhängig voneinander adressiert wurden. Zur Schließung dieser Lücke wird eine Twin-Transformation-Matrix konzipiert, die Unternehmen entlang zweier Achsen der digitalen und nachhaltigkeitsbezogenen Reife verortet und mittels Quadrantenlogik Reifekombinationen abbildet. Auf Grundlage einschlägiger Literatur und Praxismodelle werden Dimensionen und Subdimensionen des integrierten Bewertungsansatzes beschrieben und anhand von Kurzankern sowie exemplarischen ESG-bezogenen Kennzahlen skizziert. Die Matrix kann primär Beratungsunternehmen, Forschungsinstituten und unternehmensinternen Nachhaltigkeitsfunktionen eine initiale, vergleichbare Reifegradmessung ermöglichen, die Identifikation potenzieller Synergien und Zielkonflikte unterstützen sowie für Benchmarking, strategische Planung und Governance herangezogen werden. Der Ansatz bietet einen sachlich fundierten, evaluierten Rahmen zur Erfassung und Darstellung des Kopplungsgrades beider Transformationen in einem gemeinsamen Rahmenwerk.","url":"https://doi.org/10.1365/s40702-025-01236-x","authors":["Sofiya Pohurskyy","Frank Teuteberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-09T14:56:38Z","doi":"10.1365/s40702-025-01236-x","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1088/2631-8695/ae35d4/v2/decision1","name":"Decision letter for \"Research on Fault Self-Healing Architecture of Hongmeng-Grid Hybrid System Driven by Digital Twin\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2631-8695/ae35d4/v2/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-13T21:05:37Z","doi":"10.1088/2631-8695/ae35d4/v2/decision1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-981-19-9205-6_32","name":"Urban Food Production Digital Twin: Opportunities and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-9205-6_32","authors":["Peter Ball","Ehsan Badakhshan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-01T01:15:22Z","doi":"10.1007/978-981-19-9205-6_32","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.jmsy.2024.02.016","name":"The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.02.016","authors":["Zeyu Sun","Runtong Zhang","Xiaomin Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-29T10:34:11Z","doi":"10.1016/j.jmsy.2024.02.016","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1117/12.3039586","name":"A digital twin modeling method of atmospheric pressure control system for manned space docking","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3039586","authors":["Zhen Zhang","Litao Liu","Wenxing Zhou","Bin Tang","Guojing Li","Zhiwei Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T18:53:40Z","doi":"10.1117/12.3039586","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.procir.2023.06.130","name":"Prescriptive Analytics - A Smart Manufacturing System for First-Time-Right Printing in Wire Arc Additive Manufacturing using a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2023.06.130","authors":["Raven T. Reisch","Lucas Janisch","Joaquin Tresselt","Tobias Kamps","Alois Knoll"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-18T12:37:01Z","doi":"10.1016/j.procir.2023.06.130","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.rcim.2022.102371","name":"A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2022.102371","authors":["Weifei Hu","Chuxuan Wang","Feixiang Liu","Xiang Peng","Pengwen Sun","Jianrong Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-11T06:22:11Z","doi":"10.1016/j.rcim.2022.102371","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1080/0951192x.2021.1972460","name":"Digital measurement twin for CMM inspection based on step-NC","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2021.1972460","authors":["Slavenko M. Stojadinovic","Sasa Zivanovic","Nikola Slavkovic","Numan M. Durakbasa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-03T15:52:20Z","doi":"10.1080/0951192x.2021.1972460","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1080/0951192x.2025.2461034","name":"Digital twin of micro-milling process for micro-tool wear","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2025.2461034","authors":["Christiand","G. Kiswanto","A. S. Baskoro","T. J. Ko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-12T04:52:22Z","doi":"10.1080/0951192x.2025.2461034","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7305451","name":"AI-Driven Inverse Design and Digital Twin Prototype Framework for Magnetic Hyperthermia Nanoparticles","source":"crossref","abstract":"In this study, an artificial intelligence (AI) supported material design and optimization system was developed to maximize the magnetic nanofluid hyperthermia performance, which is critical in cancer treatment. Traditional methods for the optimization and characterization of magnetic nanoparticles used in magnetic hyperthermia therapy can be quite costly and time consuming. To avoid the high costs and time losses associated with trial-and-error methods, the optimization and characterization of magnetic nanoparticles were performed using in silico methods based on the creation of a virtual laboratory in a computer environment. The Reverse Design methodology was applied using Random Forest (RF) a machine learning algorithm trained on reported data for Fe3O4 (magnetite) and its doped derivatives (Zn, Co, Mn, etc.) and the Differential Evolution (DE) optimization algorithm. The RF algorithm has been integrated not only as a prediction tool but also as a fitness function for DE algorithm. While the RF model was trained using data from the literature to digitally model the system’s physical response, the DE algorithm performed iterations on this model to determine the optimal set of parameters that maximizes the SAR value. This approach is validated through 5-fold cross-validation on literature data, yielding an average performance of [[EQUATION]]. The robustness of the current model is evidenced by its close alignment with experimental results, which indicate a maximum SAR of [[EQUATION]] for oleic acid-coated Zn0.9Mn0.1Fe2O4 nanoparticles with an average size of 20 nm. In the characterization of magnetic nanoparticles, the Physics Informed Machine Learning (PIML) approach, combined with characterization techniques such as X-ray diffraction (XRD), transmission electron microscopy (TEM), vibrating sample magnetometry (VSM) and magneto-thermal measurements was applied as an innovative analytical approach by creating virtual laboratory conditions that closely mimic real-world conditions and utilizing predictive digital twin technology. The AI contribution of this study is the development of a hybrid Physics-Informed Machine Learning (PIML) framework that integrates Random Forest and Differential Evolution forinverse design and digital twin-based characterization, while the engineering application focuses on optimizing magnetic nanoparticles to maximize their heating efficiency for cancer hyperthermia therapy.","url":"https://doi.org/10.2139/ssrn.7305451","authors":["Telem Simsek","Neslinaz Çermik","Enes Ayan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T11:50:40Z","doi":"10.2139/ssrn.7305451","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.rcim.2024.102902","name":"Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2024.102902","authors":["Xiangfu Fu","Shuo Li","Hongze Song","Yuqian Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-21T10:11:29Z","doi":"10.1016/j.rcim.2024.102902","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.mfglet.2025.06.139","name":"Development of distributed network-based digital twin with real-time unstructured data processing: a case study on directed energy deposition system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2025.06.139","authors":["Seung Woo Paek","Yongho Lee","Huichan Park","Hyewon Shin","Sang Won Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-02T11:50:59Z","doi":"10.1016/j.mfglet.2025.06.139","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.autcon.2026.106800","name":"Human digital twin for optimizing labor productivity in construction 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.autcon.2026.106800","authors":["Chukwuka Christian Ohueri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-29T05:09:11Z","doi":"10.1016/j.autcon.2026.106800","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7156366","name":"Safe Multi-Agent Reinforcement Learning for Low-Carbon District Heating Networks Using Digital Twin Validation","source":"crossref","abstract":"The increasing integration of renewable heat sources, thermal energy storage and flexible heat-generation technologies has made district heating network (DHN) operation increasingly complex due to coupled variations in heat demand, electricity price, grid-carbon intensity and renewable-energy availability. Existing rule-based, optimisation-based and conventional reinforcement learning controllers face difficulties in simultaneously achieving low-carbon operation, economic efficiency, thermal comfort and operational safety in nonlinear and distributed DHNs. This study develops a digital twin-guided multi-agent safe reinforcement learning (MASRL) framework for adaptive and reliable low-carbon DHN control. The proposed framework integrates a control-oriented thermal–hydraulic digital twin as a virtual operating environment, centralised training with decentralised multi-agent execution for coordinated asset management, a carbon-aware reward mechanism for emission-conscious scheduling, thermal-storage coordination for operational flexibility and an explicit safety-shielding layer for constraint enforcement. The safety shield corrects infeasible reinforcement learning actions before implementation by satisfying supply-temperature, return-temperature, mass-flow, pressure, actuator and ramp-rate limitations. A software-in-the-loop digital twin validation environment is further developed to evaluate deployment-oriented performance under realistic disturbances, including sensor noise, communication delay, forecast uncertainty, actuator saturation, peak heat demand, extreme cold conditions, high grid-carbon intensity and reduced renewable-heat availability. The proposed MASRL controller is benchmarked against rule-based control, PID, model predictive control, conventional multi-agent reinforcement learning and centralised reinforcement learning approaches. Results demonstrate that MASRL reduces operating-cost and carbon penalties by 85.9% and 89.3% during training convergence, respectively, while achieving 18.9% operating-cost reduction, 16.4% carbon-emission reduction and 99.1% heat-supply reliability in closed-loop evaluation. The safety-shielding mechanism decreases safety violations by 96.3%, while maintaining indoor comfort satisfaction close to the 95% target under normal and disturbed conditions. Robustness and computation-time analyses further confirm that the proposed controller remains feasible for minute-level supervisory operation. The proposed digital twin-guided MASRL framework provides a practical simulation-based pathway toward adaptive, safe and low-carbon operation of future district heating networks.","url":"https://doi.org/10.2139/ssrn.7156366","authors":["Mohsin Khan","Shamsul Haq"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T19:39:42Z","doi":"10.2139/ssrn.7156366","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7076141","name":"A Digital-Twin-Enabled Transfer Learning Framework for Data-Efficient Structural Health Monitoring of Civil Infrastructure","source":"crossref","abstract":"Digital twins are increasingly adopted for structural health monitoring (SHM) because they enable continuous condition assessment and data-driven asset management. However, machine-learning-based digital twins require large volumes of labeled damage data, which are often unavailable for newly constructed or sparsely monitored structures. This study proposes a digital-twin-enabled transfer-learning framework that combines structural similarity assessment with physics-informed modal features to improve damage localization and severity prediction under limited target-domain data. Finite-element-based digital twins were used to generate source and target datasets under multiple damage scenarios. Frequency shifts, Modal Assurance Criterion (MAC) values, and modal curvature differences were extracted as damage-sensitive features and used to train Random Forest regression models. A Structural Similarity Index (SSI) was introduced to quantify similarity between source and target structures and evaluate its influence on transfer-learning performance. Five beam structures with SSI values ranging from 1.00 to 0.488 were investigated. The results show a strong correlation between structural similarity and prediction accuracy, with successful positive transfer across all beam-to-beam scenarios. Robustness was confirmed under Gaussian measurement noise levels of 0–15%, while Monte Carlo simulations with twenty independent realizations demonstrated statistically stable predictions. Additional validation showed effective transfer for cantilever-to-simply-supported beam and beam-to-frame cases, whereas beam-to-truss transfer exhibited limited effectiveness because of fundamentally different structural behaviour. The proposed framework establishes structural similarity as a key criterion for reliable transfer learning and provides a scalable, data-efficient Digital Twin approach for SHM, supporting predictive maintenance and lifecycle management of civil infrastructure.","url":"https://doi.org/10.2139/ssrn.7076141","authors":["Padma Poorani V"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-08T00:39:37Z","doi":"10.2139/ssrn.7076141","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.procir.2020.05.033","name":"Digital twin: revealing potentials of real-time autonomous decisions at a manufacturing company","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2020.05.033","authors":["Julia Feldt","Thanos Kourouklis","Henning Kontny","Axel Wagenitz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-13T16:36:57Z","doi":"10.1016/j.procir.2020.05.033","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1109/iccike51210.2021.9410721","name":"Digital Twin for Additive Manufacturing: A Critical Tool for The Future","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccike51210.2021.9410721","authors":["Atiq Ur Rehman","Vishal Naranje","Sachin Salunkhe","MVM Sankaram"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-28T17:26:37Z","doi":"10.1109/iccike51210.2021.9410721","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1016/j.jmapro.2023.05.019","name":"Physical modeling for digital twin of Continuous Damping Control damper","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2023.05.019","authors":["Tao Li","Zhongyuan Liao","Yi Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-18T00:48:50Z","doi":"10.1016/j.jmapro.2023.05.019","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1016/j.promfg.2019.07.039","name":"Creation of a micro cutting machine tool digital-twin using a cloud-based model-based PLM Platform: first results","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.promfg.2019.07.039","authors":["Luis López-Estrada","Marcelo Fajardo-Pruna","Santos Gualoto-Condor","José Ríos","Antonio Vizán"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-03-09T13:26:59Z","doi":"10.1016/j.promfg.2019.07.039","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1007/s40964-025-01257-4","name":"Integration of machine learning and digital twin in additive manufacturing of polymeric-based materials and products","source":"crossref","abstract":"Abstract Additive manufacturing (AM) has become a key enabler across industries, offering flexibility to produce complex, lightweight, and customized components. In recent years, machine learning (ML) has increasingly been adopted in AM to support tasks, such as predicting material behavior, detecting defects, and designing composites for specific performance targets. In parallel, digital twin (DiTw) technologies are gaining momentum as dynamic, real-time frameworks for process simulation, optimization, and predictive control. Polymeric materials and their composites are widely used in AM due to their strength-to-weight advantages, functional tunability, and ease of processing. One of the key reasons for the integration of ML in this domain is the anisotropy experienced in polymer AM, where mechanical and thermal properties vary with build direction, making this system an ideal candidate for data-driven modeling and optimization of adaptive processes. This review paper amalgamates the state-of-the-art developments at the intersection of ML, DiTw, and polymer-based AM. We investigated and compared the utilization of these technologies in the areas of manufacturing, parameter tuning, and product performance enhancement. The paper further outlines the key limitations and potential new applications, with some insight into how these might be considered in future research directions. In general, this work is intended to serve as a practical and future-oriented guide for researchers and practitioners working toward intelligent, data-augmented AM systems.","url":"https://doi.org/10.1007/s40964-025-01257-4","authors":["Imran Khan","Ans Al Rashid","Muammer Koç"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-22T08:33:24Z","doi":"10.1007/s40964-025-01257-4","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.procs.2026.07.287","name":"AI-enabled Wireless Network Digital Twin (DT) and Fault Prediction","source":"crossref","abstract":"In response to the latency contradiction between high-fidelity modeling of wireless network digital twins and AI real-time fault prediction, this paper proposes a dynamic lightweight modeling framework and a hierarchical AI collaborative prediction mechanism. Through joint state compression, asynchronous graph update, dual-channel timing coding and distributed edge reasoning, sub-second fault warning (average 1.2s in advance) and millisecond twin synchronization (delay <50ms) are achieved while ensuring 98.2% prediction accuracy. Experiments show that compared with traditional methods, the model computing overhead is reduced by 43% and the collaborative prediction efficiency is increased by 2.8 times.","url":"https://doi.org/10.1016/j.procs.2026.07.287","authors":["Yanqing Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-20T11:23:50Z","doi":"10.1016/j.procs.2026.07.287","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7169797","name":"Adoption of Digital Twin Technology in China's Commercial Building Energy Sector: An IoT-Extended Technology Acceptance Model","source":"crossref","abstract":"Digital twin technology, when coupled with the Internet of Things (IoT), offers building operators a continuously updated virtual representation of energy systems that can support real-time monitoring, fault diagnosis, and optimized control. Despite rapid growth in the underlying sensor and connectivity infrastructure across Chinese cities, adoption of digital twin platforms among building operators, facility managers, and property developers remains uneven. This study develops and empirically tests an IoT-extended Technology Acceptance Model to explain the behavioral intention and actual adoption behavior of digital twin technology in the Chinese building energy sector. Three IoT-specific constructs, perceived system reliability, perceived interoperability, and perceived data security, were incorporated alongside the traditional perceived usefulness and perceived ease of use constructs, with government policy support tested as a moderating variable. Data were collected through a structured questionnaire administered between 2018 and 2023 to 468 building engineers, facility managers, energy managers, and property developers across six major Chinese cities. Partial least squares structural equation modelling (PLS-SEM) was used to assess the measurement and structural models. The results indicate that perceived usefulness and attitude are the strongest predictors of behavioral intention, while perceived system reliability and perceived interoperability significantly shape perceived ease of use and perceived usefulness, respectively. Government policy support was found to positively moderate the usefulness-intention relationship. The extended model explained 61 percent of the variance in behavioral intention. Findings offer building energy policymakers and technology vendors an empirically grounded basis for accelerating digital twin adoption within China&amp;apos;s built environment.","url":"https://doi.org/10.2139/ssrn.7169797","authors":["Kai Ming"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-23T21:51:29Z","doi":"10.2139/ssrn.7169797","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.4236/jamp.2025.1312245","name":"Research on Biomimetic Additive Manufacturing Technology Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.4236/jamp.2025.1312245","authors":["Yongqi Chen","Yuduo Wei","Shaopeng Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-23T08:41:53Z","doi":"10.4236/jamp.2025.1312245","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.5194/egusphere-egu26-6018","name":"River-Scale Digital Twin for Cryo-Hydrological Systems: Architecture and Integration Principles from the JÄÄTwin Framework","source":"crossref","abstract":"This contribution presents the system architecture, data pipelines, and modelling logic at a conceptual level for a Digital Twin prototype named JÄÄTwin. The aim of JÄÄTwin is to integrate near-real-time observations from multiple heterogeneous data sources, with numerical models, and computational infrastructure into a live “river ice condition” digital twin. While large-scale initiatives focus on continental and global domains, digital twin implementations at the river scale remain limited, specifically for cryo-hydrological systems. JÄÄTwin integrates in-situ monitoring data, remote sensing products, and meteorological forecast inputs through a modular backend that supports data ingestion, preprocessing, model orchestration, and visualization. The emphasis of this contribution is on system architecture, data integration logic, and operational workflow design.The Kiiminkijoki River in northern Finland is used as a pilot to demonstrate how a river-scale digital twin can be implemented using existing monitoring infrastructure. The presentation discusses design choices, integration challenges, and transferability considerations relevant to future Earth system digital twin developments and to emerging European digital twin initiatives.","url":"https://doi.org/10.5194/egusphere-egu26-6018","authors":["Abolfazl Jalali Shahrood"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-13T21:58:36Z","doi":"10.5194/egusphere-egu26-6018","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1039/d6ra01076h/v1/review2","name":"Review for \"Degradation-as-Signal: A Digital-Twin Framework for Disposable Optical Glucose Sensing with Lead-Free Perovskite-Inspired Films\"","source":"crossref","abstract":"","url":"https://doi.org/10.1039/d6ra01076h/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T21:02:01Z","doi":"10.1039/d6ra01076h/v1/review2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.6349662","name":"The Unequal Twin Transition: A Bibliometric Analysis of Digital and Green Inequality Research","source":"crossref","abstract":"Societies are undergoing a “twin transition”, in which digitalisation and decarbonisation unfold together and reshape existing inequalities. Yet we still lack a systematic overview of how research on digital, green and explicitly “twin” transitions conceptualises inequality and where major blind spots remain. This paper presents a large scale bibliometric analysis explicitly centred on inequality across the digital and green transitions, as well as the emerging field of the twin transition. We combine an author direct-citation network with keyword co-occurrence analysis and a cross-cutting analytical framework that distinguishes four key dimensions of inequality: (i) domains, (ii) mechanisms, (iii) social stratifiers and (iv) spatial scales. Using this framework, we show that work on digital inequalities has consolidated into a relatively coherent field, while green-inequality research is dispersed across environmental justice, energy poverty, climate vulnerability and urban sustainability, and explicitly twin-focused work remains nascent. The analysis reveals a strong emphasis on access and skills, with much less attention to exposure to harms, unequal costs and burdens, displacement, and procedural and recognitional justice. Intersectional stratifiers such as race, gender and migration status, as well as Global South perspectives, are unevenly represented across communities. Overall, the literature on the twin transition is itself marked by structural asymmetries that risk reproducing narrow understandings of inequality. We argue that advancing a just and equitable twin transition requires stronger conceptual bridges between green and digital inequality research, more intersectional and multi-scalar analysis, and closer dialogue between bibliometric mapping and policy-oriented work.","url":"https://doi.org/10.2139/ssrn.6349662","authors":["Eleni Kalantzi","Christina Kakderi","Anastasia Panori"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-05T13:41:54Z","doi":"10.2139/ssrn.6349662","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s00170-023-10902-7","name":"Integrating the digital twin concept into the evaluation of reconfigurable manufacturing systems (RMS): literature review and research trend","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-023-10902-7","authors":["Jesus Kombaya Touckia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-07T18:02:58Z","doi":"10.1007/s00170-023-10902-7","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.rcim.2023.102536","name":"Software framework concept with visual programming and digital twin for intuitive process creation with multiple robotic systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2023.102536","authors":["Dario Niermann","Tobias Doernbach","Christoph Petzoldt","Melvin Isken","Michael Freitag"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-31T08:16:44Z","doi":"10.1016/j.rcim.2023.102536","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.6555378","name":"A Hybrid Physics–Data Digital Twin for Industrial Batch Melt Crystallization","source":"crossref","abstract":"This study presents a hybrid digital twin framework that integrates first-principles modeling with data-driven learning to optimize batch melt crystallization processes. Operating on industrial data from 93 batches of a polymer intermediate purification system, the digital twin dynamically predicts critical transition boundaries between cooling, metastable, and crystallization stages. A physics-based model captures heat transfer and phase-change kinetics, while Gaussian Process Regression and XGBoost algorithms identify transition points (T_b,T_be) from temperature trajectories. Validation shows an average temperature prediction RMSE of 0.27°C by identifying the optimal termination point, while model-based multi-objective optimization strikes a balance between product purity and production costs. The framework provides both mechanistic interpretability and adaptive capability, offering a transferable solution for digitizing batch crystallization operations.","url":"https://doi.org/10.2139/ssrn.6555378","authors":["Wenru Chen","Binbin Zheng","Lingyu Zhu","Anjan Tula"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-10T12:36:41Z","doi":"10.2139/ssrn.6555378","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/icamal62577.2024.10919567","name":"AiFashion: Multi-Modal and Multi-Dimensional Large Model Based on Self-Trained Customer Digital-Twin for Fashion Design and Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icamal62577.2024.10919567","authors":["Zhaolin Yuan","Haoran Ding","Ming Li","Li Li","George Q. Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-18T17:31:16Z","doi":"10.1109/icamal62577.2024.10919567","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.ifacol.2018.08.474","name":"Digital Twin in manufacturing: A categorical literature review and classification","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2018.08.474","authors":["Werner Kritzinger","Matthias Karner","Georg Traar","Jan Henjes","Wilfried Sihn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-09-06T19:23:47Z","doi":"10.1016/j.ifacol.2018.08.474","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.ifacol.2025.09.263","name":"Challenges in the Development of a Digital Twin for a Flexible Manufacturing Line: A Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2025.09.263","authors":["Jerzy Pater","Dorota Stadnicka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-27T21:52:51Z","doi":"10.1016/j.ifacol.2025.09.263","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.jmsy.2024.08.011","name":"A digital twin-based assembly model for multi-source variation fusion on vision transformer","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.08.011","authors":["Yuming Liu","Yu Ren","Qingyuan Lin","Wencai Yu","Wei Pan","Aihua Su","Yong Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-27T15:49:39Z","doi":"10.1016/j.jmsy.2024.08.011","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.jmsy.2021.11.006","name":"Digital twin and cloud-side-end collaboration for intelligent battery management system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.11.006","authors":["Yujie Wang","Ruilong Xu","Caijie Zhou","Xu Kang","Zonghai Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-27T05:18:36Z","doi":"10.1016/j.jmsy.2021.11.006","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.56726/irjmets95103","name":"BATTERY MANAGEMENT SYSTEM USING DIGITAL TWIN TECHNOLOGY","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets95103","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-22T05:44:10Z","doi":"10.56726/irjmets95103","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1108/ilt-12-2025-0567/v1/review2","name":"Review for \"Simulation and Experimental Verification of Vibration Signals for Bearing Faults in the Framework of Digital Twin\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-12-2025-0567/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-27T21:05:09Z","doi":"10.1108/ilt-12-2025-0567/v1/review2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003686736-5","name":"Dynamic Model Development","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003686736-5","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T14:49:34Z","doi":"10.1201/9781003686736-5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7351018","name":"Advanced Construction Modelling and the Digital Twin Boundary: Information Continuity in Fast-Track Design-Build-Operate Delivery","source":"crossref","abstract":"&lt;span&gt;Purpose – This paper examines what happens to project information when one organisation designs, builds and then operates a facility. It uses an integrated athletic complex delivered under a fast-track Design–Build–Operate arrangement in Riyadh to ask how a federated model supports engineering decisions on a site with no as-built record of its own underground, and what becomes of that model once operations begin. Design/methodology/approach – A reflective practitioner case study with embedded units, following Yin. Evidence combines the author's involvement as project manager across design, construction and the subsequent operations contract; the project record (coordination reports, workshop minutes, variation orders, structural verification outputs and the asset register); and four semi-structured interviews with the design and BIM consultant, the supervising consultant, the owner's representative and the facility management lead, conducted in November 2025 and reported as consolidated notes, confirmed with participants and identified by role. Findings – Absent any record of buried services, the project began at the weakest subsurface information quality level, and the model became the means by which underground knowledge was accumulated during excavation rather than assumed before it. Modelling supported rerouting of substructure and services when unrecorded lines were struck; re-verification of structural and electrical capacity when a lighter facade system was substituted and pitch floodlighting added late in the programme; and provisioning of spare infrastructure capacity for an unbuilt future building. Involving the operations team during design changed the design, and the asset register was generated from an existing dataset rather than compiled retrospectively. The result is a data-rich asset information model, not a digital twin, and the paper is explicit about that boundary. Originality/value – Handover research separates the party producing information from the party consuming it. This case removes that separation, documenting from inside a single accountable entity both the value and the limits of carrying a model from an undocumented excavation into a working operations dataset, and stating which engineering computations the modelling environment performed and which it did not.&lt;/span&gt;","url":"https://doi.org/10.2139/ssrn.7351018","authors":["Tamer Ababneh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T08:41:56Z","doi":"10.2139/ssrn.7351018","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.5000608","name":"Right to the Digital Twin City? Citizen Participation and ‘Limits-by-Design’ in Rotterdam's Urban Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5000608","authors":["Arthur de Jaeger","Thomas Swerts"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-26T18:44:01Z","doi":"10.2139/ssrn.5000608","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.aime.2021.100054","name":"The concept of digital twin used to investigate geometrical variations in the production of pipe spools","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aime.2021.100054","authors":["Thiago L. Fernandes","Crhistian R. Baldo","Gustavo D. Donatelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-17T01:44:21Z","doi":"10.1016/j.aime.2021.100054","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1049/iet-cim.2020.0009","name":"Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing","source":"crossref","abstract":"Digital twin (DT) is gaining popularity due to its significant impacts on bridging the gap between the physical and cyber worlds. As reported by Grand View Research, Inc., the global market of DT is expected to reach $26.07 billion by 2025 with a Compound Annual Growth Rate of 38.2%. The growing adoption of cyber‐physical system (CPS), Internet of Things, big data analytics, and cloud computing in manufacturing sector has paved the way for low cost and systematic implementation of DT, with promising impacts on (a) product design and development, (b) machine and equipment health monitoring, and (c) product support and services. Successful implementation of DT would increase transparency, cooperation, flexibility, resilience, production speed, scalability, and manufacturing efficiency. Realisation of smart manufacturing requires collaborative and autonomous interactions between sensing, networking, and computational resources across manufacturing assets where data is gathered from physical systems is utilised for the extraction of actionable insights and provision of predictive services. In this study, a reference architecture based on deep learning, DT, and 5C‐CPS is proposed to facilitate the transformation towards smart manufacturing and Industry 4.0.","url":"https://doi.org/10.1049/iet-cim.2020.0009","authors":["Jay Lee","Moslem Azamfar","Jaskaran Singh","Shahin Siahpour"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-02-27T21:36:27Z","doi":"10.1049/iet-cim.2020.0009","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s10845-025-02728-9","name":"Digital twin-enabled real-time control for robot arm-based manufacturing via reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-025-02728-9","authors":["Matsive Ali","Sandesh Giri","Qin Yang","Sen Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T09:09:40Z","doi":"10.1007/s10845-025-02728-9","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s00506-026-01207-6","name":"Smart-Digital-Twin-Framework zur Kostenoptimierung in der Recyclingindustrie","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00506-026-01207-6","authors":["Du Nguyen Duy","Sabrina Meindl","Valeria Fonseca Diaz","Roman Rainer","Alexia Tischberger-Aldrian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-03T14:53:00Z","doi":"10.1007/s00506-026-01207-6","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.jmapro.2022.06.047","name":"Design of Gaussian process based model predictive control for seam tracking in a laser welding digital twin environment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2022.06.047","authors":["Zhehao Zhang","Luka Malashkhia","Yi Zhang","Eduard Shevtshenko","Yan Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-27T13:49:06Z","doi":"10.1016/j.jmapro.2022.06.047","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s00170-022-10223-1","name":"A digital twin of synchronized circular laser array for powder bed fusion additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-10223-1","authors":["Hamed Attariani","Shayna Renay Petitjean","Majid Dousti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-13T10:02:39Z","doi":"10.1007/s00170-022-10223-1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s00170-024-14332-x","name":"A digital twin design methodology for control, simulation, and monitoring of fluidic circuits","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-024-14332-x","authors":["Veyis Gunes"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-07T04:02:12Z","doi":"10.1007/s00170-024-14332-x","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s12008-026-02647-w","name":"Application of digital twin in part separator mechanism for injection molding machines: a data-driven approach for optimizing defect detection","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12008-026-02647-w","authors":["Rajesh Palampalle","Kuldip A. Patil-Rade","Vaishali S. Phalake"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-01T18:17:59Z","doi":"10.1007/s12008-026-02647-w","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003498117-4","name":"Treatment and therapy with digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-4","authors":["Anand Jawdekar","Ayush Kumawat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-4","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-21343-4_23","name":"The Digital Twin for Operations, Maintenance, Repair and Overhaul","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_23","authors":["Pascal Lünnemann","Carina Fresemann","Friederike Richter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_23","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s10845-023-02301-2","name":"Digital twin for product versus project lifecycles’ development in manufacturing and construction industries","source":"crossref","abstract":"Abstract Digital twin, as an important enabling tool for digital transformation, has received increasing attention from researchers and practitioners since its definition was formalised. Especially in the global context and exacerbated by Covid-19, the applications of the digital twin have offered opportunities for many industries. While the digital twin has already been widely used in many sectors such as manufacturing and the construction industry—one of the key engines of economic development, is still lagging behind many other sectors. This study uses the systematic literature review to assess the applications of digital twin in manufacturing and construction respectively, the benefits it brings, and the impediments to its application. Based on this, a comparison is made of digital twin applications in the manufacturing and construction industries to draw lessons. This study concluded that although the use of digital twin in manufacturing is better than construction overall, it is still not reaching its full potential. Despite many benefits brought by the digital twin to construction during the project lifecycle, the construction sector faces even greater challenges than manufacturing in digital twin adoption. By comparison, this study drew five lessons to drive better adoption of the digital twin. The construction industry needs to accelerate the deployment of relevant hardware, promote the standard unification of digital twin, explore the whole lifecycle application of the digital twin, enhance data protection, and embrace changes. This study was limited in the scope of data collection. Future research could focus on gathering information from specific case studies, to produce more comprehensive perspectives.","url":"https://doi.org/10.1007/s10845-023-02301-2","authors":["F. H. Abanda","N. Jian","S. Adukpo","V. V. Tuhaise","M. B. Manjia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-31T09:03:12Z","doi":"10.1007/s10845-023-02301-2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-45669-5_6","name":"Towards Digital Twin for Biopharmaceutical Processes: Concept and Progress","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45669-5_6","authors":["Chaoying Ding","Ou Yang","Marianthi Ierapetritou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-10T05:02:16Z","doi":"10.1007/978-3-031-45669-5_6","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.procir.2022.05.318","name":"Manufacturing Service Network of Digital Twin Systems Under Cloud Computing Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2022.05.318","authors":["Feng Xiang","Ping Zhou","Ying Zuo","Fei Tao","Dashun Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-21T13:32:43Z","doi":"10.1016/j.procir.2022.05.318","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.ifacol.2024.09.223","name":"Digital Twin Creation for Circular Manufacturing: A Behavioral Modeling Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2024.09.223","authors":["Maria Gabriela Juarez Juarez","Adriana Giret Boggino","Vicente Botti Navarro"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-09T13:36:03Z","doi":"10.1016/j.ifacol.2024.09.223","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-030-81815-9_5","name":"Data Communication-Edge, Fog, and Cloud Computing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-81815-9_5","authors":["Surjya Kanta Pal","Debasish Mishra","Arpan Pal","Samik Dutta","Debashish Chakravarty","Srikanta Pal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-12T12:05:18Z","doi":"10.1007/978-3-030-81815-9_5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.jmsy.2024.02.006","name":"Pipeline condition monitoring towards digital twin system: A case study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.02.006","authors":["Teng Wang","Ke Feng","Jiatong Ling","Min Liao","Chunsheng Yang","Robert Neubeck","Zheng Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-16T15:56:29Z","doi":"10.1016/j.jmsy.2024.02.006","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.47330/cbc.2021.aofw3842","name":"Blockchain and the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.47330/cbc.2021.aofw3842","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-02-07T00:15:40Z","doi":"10.47330/cbc.2021.aofw3842","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.12688/digitaltwin.17599.1","name":"The development of a digital twin concept system","source":"crossref","abstract":"Background: Digital twins are gaining ever-increasing attention from academies and industries to standardization bodies all over the world owing to their great capabilities and fundamental values in the coming fourth industrial revolution. However, there is no consistent set of definitions or concept system for the digital twin domain yet. Methods: This paper summarizes the methodology of developing a concept system with integrating ISO standards guidelines and system thinking methods, analyzes the polysemy phenomenon of the term \"digital twin\", and identifies the necessity to differentiate digital twin entity and digital twin system from the general term “digital twin”. Results: After analyzing nineteen definitions of digital twin (entity) and summarizing ten superordinate concepts from these definitions, this paper proposes that a digital twin entity is a kind of digital asset rather than digital representation. Based on the new superordinate concept and definition of digital twin entity, a systematic digital twin concept system is developed which consists of four parts: top-level ontology and taxonomy of entity, digital twin entity related concepts, digital twin system related concepts, and taxonomy framework related concepts. Conclusions: This work demonstrates the power and effectiveness of the combination of ISO terminology work standards, system thinking methods, and information modeling tools, lays a solid foundation for future concept systems development of other domains, and will provide useful input to the efforts of digital twin standardization.","url":"https://doi.org/10.12688/digitaltwin.17599.1","authors":["Hyman Duan","Su Gao","Xu Yang","Yuanlin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-05T12:30:46Z","doi":"10.12688/digitaltwin.17599.1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1049/pbhe046e_ch11","name":"Case study: digital twin in cardiology","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch11","authors":["K. Sathya","Vani Rajasekar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch11","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.12688/digitaltwin.17599.2","name":"The development of a digital twin concept system","source":"crossref","abstract":"Background: Digital twins are gaining ever-increasing attention from academies and industries to standardization bodies worldwide owing to their great capabilities and fundamental values in the coming fourth industrial revolution. However, there is no consistent set of definitions or concept system of the digital twin domain yet. Especially, the polysemy problem of the term “digital twin” is leading to ambiguities and an obstacle to standardization. Methods: This paper summarizes the principles and guidelines of developing a concept system mentioned in two international standards, enriches them to a methodology of developing a concept system with (1) system thinking viewpoints and systems engineering methods, (2) procedures for analyzing the semantic relationships among candidate superordinate concepts, and (3) a three-dimensional taxonomy framework with procedures of developing a taxonomy, and proposed a maturity level model for terminology work which offers a high-level vision of digital twin terminology work. Results: This paper analyzes the polysemy phenomenon of the term \"digital twin” and identifies the necessity to differentiate digital twin entity and digital twin system from the general term “digital twin”. After analyzing twenty-one definitions of digital twin and summarizing ten superordinate concepts from them, this paper proposes that a digital twin entity is a kind of digital asset rather than digital representation. Based on the new superordinate concept and definition of digital twin entity, a systematic digital twin concept system is developed with one hundred concepts and fifty definitions. Conclusions: This work resolves the polysemy problem of the term “digital twin” and demonstrates the effectiveness of the enhanced methodology of developing a concept system. The proposed digital twin concept system could be a benchmark for future digital twin terminology work and useful input to the development of digital twin system reference architecture standard and lays a solid foundation for future concept systems development of other domains.","url":"https://doi.org/10.12688/digitaltwin.17599.2","authors":["Hyman Duan","Su Gao","Xu Yang","Yuanlin Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-03T11:20:19Z","doi":"10.12688/digitaltwin.17599.2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1108/978-1-83708-112-720261003","name":"Digital Twins in Industry 5.0: A Comprehensive Review","source":"crossref","abstract":"Digital twins (DTs) serve as fundamental enablers to boost industrial value through their ability to generate online real-time virtual copies of physical assets and systems. The industrial revolution from Industry 4.0 to Industry 5.0 (I5.0) leads to an enhanced focus on human-driven methods with sustainable practices and recovery from pandemic-related business disruption. The use of DTs becomes more vital as time goes by. The following analysis delves into DT strategic applications through I5.0 by analyzing their integration capabilities with artificial intelligence (AI) alongside machine learning (ML) along with Internet of Things (IoT) and robotics. The established frameworks guarantee system interoperability which leads to better human–machine operational interfaces and flexibility and optimization of manufacturing processes and better decision support capabilities. Impacts such as energy efficiency and responsible resource management together with product individualization will be achieved through DTs which support I5.0 goals. However, several risks challenge their widespread adoption. Manufacturers encounter data-related challenges that involve security concerns together with ethical data practices and management of ownership rights across different stakeholders. The review advocates for implementing common industry standards together with establishing secure operational frameworks and forming alliances between human employees and company executives and technology solution providers. This research integrates a future prediction analysis with existing studies about DT solutions to examine their usage in smart human-oriented industrial settings. The future success of industrial development rests upon digital technologies that keep human talents central and boost information technology (IT) capabilities and joint innovative efforts to produce the coming industrial revolt.","url":"https://doi.org/10.1108/978-1-83708-112-720261003","authors":["Avtar Singh","Mandeep Bhardwaj","Dalwinder Kaur Dhillon"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-05T11:49:18Z","doi":"10.1108/978-1-83708-112-720261003","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/s00170-026-18746-7","name":"AI-driven digital twin self-calibration and NC data optimization for improving form accuracy under a cycle-time invariant constraint in five-axis CNC machining","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-18746-7","authors":["Jeongmo Kang","Dayoung Kim","Sungchul Jee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-30T05:20:10Z","doi":"10.1007/s00170-026-18746-7","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1201/9781003395416-6","name":"Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003395416-6","authors":["Jaskiran Kaur","Pankaj Bhambri","Sita Rani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-17T18:23:25Z","doi":"10.1201/9781003395416-6","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.21511/ee.17(2).2026.14","name":"Digital transformation as a moderator for green innovation and economic performance in the “twin transition”","source":"crossref","abstract":"Type of the article: Research ArticleAbstractThe synergy between industrialization and environmental sustainability, known as the “twin transition,” has become a critical strategic imperative for emerging economies. This study aims to empirically examine the direct impact of green innovation on economic performance and the moderating role of digital transformation within the context of Vietnam. Data collected from a stratified random sample of 384 C-suite executives and senior managers within the manufacturing and service sectors across Vietnam’s key economic zones were analyzed using hierarchical linear regression. The quantitative analysis reveals that green innovation has a positive, moderate direct impact on economic performance (β = 0.24, p &amp;amp;lt; 0.001). Furthermore, digital transformation demonstrates a strong independent direct effect on performance (β = 0.31, p &amp;amp;lt; 0.001) and acts as a significant moderator (β = 0.19, p &amp;amp;lt; 0.01). The inclusion of this interaction term significantly increased the model’s explanatory power (ΔR2 = 0.04, p &amp;amp;lt; 0.01), providing statistical confirmation that firms with high digital capabilities realize substantially greater financial benefits from green investments compared to those with low digital maturity. Ultimately, these findings conclude that digital transformation is a dynamic capability that unleashes the financial value of sustainability strategies, offering a roadmap for integrated smart-green investments.","url":"https://doi.org/10.21511/ee.17(2).2026.14","authors":["Nguyen Tien Duc","Nguyen Thi Mai Phuong","Nguyen Thien Phuc"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-01T11:00:42Z","doi":"10.21511/ee.17(2).2026.14","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.26678/abcm.cobef2023.cof23-0180","name":"DESENVOLVIMENTO DIGITAL TWIN PARA SIMULAÇÃO E OTIMIZAÇÃO PROCESSO DE UMA PLATAFORMA DE MANUFATURA ADITIVA ROBOTIZADA","source":"crossref","abstract":"","url":"https://doi.org/10.26678/abcm.cobef2023.cof23-0180","authors":["João Vítor Arantes Cabral","Leonardo Oliveira","Alberto Alvares"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-22T19:30:20Z","doi":"10.26678/abcm.cobef2023.cof23-0180","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.31181/jscda21202429","name":"Estimation of Operation Time with Digital Twin in Manufacturing","source":"crossref","abstract":"There are two most important factors that are taken into consideration in businesses. One of them is time and the other is cost. In order to save time and cost, planning of production subcomponents involves a series of critical activities. Making more effective plans in the field of production has become possible with industry 4.0. Industry 4.0 includes the digitalization of production. One of the most popular topics in this process is the Digital Twin [DT]. The DT philosophy has enabled businesses to better understand the sub-processes of production. In this way, they can optimize them. With the development of this philosophy, more detailed models have been created. Enterprises keep their data under control in order to control, manage and optimize processes. These data are then utilized in the model building process. The aim of this study is to estimate the time from the moment a product enters the process to the moment it leaves the process by using the data obtained through time study etc. studies. Automated machine learning (AutoML) method is used to build the best model. Machine learning (ML) algorithms, which are popularly used in the literature, may not always give the best result. In order to prevent this, starting from the data preprocessing step, including hyperparameter optimization, the aim is to find the algorithm and parameters that give the best performance. It will contribute to DT studies by estimating the operation time. The study used a 115-row dataset from CNC machines. The dataset consists of velocity, motion and actual time. The actual time is tried to be estimated using motion/speed. It is aimed to achieve the best results with AutoML. lazy predict and tpot library were used in the study. As a result, an estimation of the duration of 100% was realized.","url":"https://doi.org/10.31181/jscda21202429","authors":["Şeyma Duymaz","Ali Fuat Güneri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-01T06:52:20Z","doi":"10.31181/jscda21202429","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-91500-0_2","name":"Shaping the Future: A Global Perspective on Digital Manufacturing in Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_2","authors":["Pias Kumar Biswas","Yogesh Kumar Singla","Pritom Kumar Biswas","Yatika Gori","Mohit Tyagi","Ashwani Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:46:06Z","doi":"10.1007/978-3-031-91500-0_2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.12688/digitaltwin.17440.2","name":"Artificial cognitive systems: the next generation of the digital twin. An opinion.","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17440.2","authors":["David Jones"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-09T08:45:16Z","doi":"10.12688/digitaltwin.17440.2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003790730-74","name":"Artificial intelligence and internet of things for sustainability: A digital-twin-centric architecture with cross-domain case studies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003790730-74","authors":["Dheeraj Tiger","Nishu Sethi","Anshu Malhotra","Simran Thapar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-16T09:19:30Z","doi":"10.1201/9781003790730-74","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2514/6.2026-3129","name":"On-Orbit Digital Twin for Spacecraft Battery State and Health Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3129","authors":["Ayush Patnaik","Jackson Fogelquist","Adam Zufall","Stephen K. Robinson","Xinfan Lin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-13T18:55:25Z","doi":"10.2514/6.2026-3129","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-032-20311-3_13","name":"The Digital Twins Revolution—Are We Ready for It?","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-20311-3_13","authors":["P. K. Garg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-13T23:16:39Z","doi":"10.1007/978-3-032-20311-3_13","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.mfglet.2022.09.003","name":"A cognitive assistance system with augmented reality for manual repair tasks with high variability based on the digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2022.09.003","authors":["Leon Eversberg","Puya Ebrahimi","Martin Pape","Jens Lambrecht"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-23T04:48:31Z","doi":"10.1016/j.mfglet.2022.09.003","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.jmsy.2022.06.015","name":"Digital twin modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2022.06.015","authors":["Fei Tao","Bin Xiao","Qinglin Qi","Jiangfeng Cheng","Ping Ji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-13T14:48:32Z","doi":"10.1016/j.jmsy.2022.06.015","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1115/imece2022-95411","name":"Digital Twin Simulations Based Reinforcement Learning for Navigation and Control of a Wheel-on-Leg Mobile Robot","source":"crossref","abstract":"Abstract Hybrid mobile robots are able to function in a number of different modes of locomotion, which increases their capacity to overcome challenges and makes them appropriate for a wide range of applications. To be able to develop navigation techniques that make use of these improved capabilities, one must first have a solid grasp of the constraints imposed by each of those different modalities of locomotion. In this paper, we present a data-driven approach for evaluating the robots’ locomotion modes. To do this, we formalize the problem as a reinforcement learning task that is applied to a digital twin simulation of the mobile robot. The proposed method is demonstrated through the use of a case study that examines the capabilities of hybrid wheel-on-leg robot locomotion modes in terms of speed, slope ascent, and step obstacle climbing. First, a comprehensive explanation of the process of creating the digital twin of the mobile robot through the use of the Unity gaming engine is presented. Second, a description of the construction of three test environments is provided so that the aforementioned capabilities of the robot can be evaluated. In the end, Reinforcement Learning is used to evaluate the two types of locomotion that the mobile robot can utilize in each of these different environments. Corresponding simulations are conducted in the virtual environment and the results are analyzed.","url":"https://doi.org/10.1115/imece2022-95411","authors":["Saleh Alsaleh","Aleksei Tepljakov","Mart Tamre","Vladimir Kuts","Eduard Petlenkov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-08T20:41:30Z","doi":"10.1115/imece2022-95411","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.58225/mpmma.2026.282","name":"ARTIFICIAL INTELLIGENCE AND DIGITAL TWIN FRAMEWORK FOR HAZARDOUS BUILDINGS ASSESSMENT","source":"crossref","abstract":"This study proposes an integrated framework for assessing hazardous buildings using Building Information Modeling (BIM), Digital Twin technologies, and artificial intelligence (AI). The approach combines multimodal ,data—UAV imagery, LiDAR scans, satellite observations, and sensor inputs—with machine learning models such as CNNs and Vision Transformers. Through real-time monitoring and predictive simulation, the system enables automated hazard classification (H0–H4) and supports emergency response and structural safety planning. The results demonstrate that multimodal fusion and transfer learning significantly enhance accuracy and efficiency, providing engineers and policymakers with a robust tool for risk management and urban resilience.","url":"https://doi.org/10.58225/mpmma.2026.282","authors":["Elman Imamaliyev","Fatima Mirzeyeva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T09:42:39Z","doi":"10.58225/mpmma.2026.282","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/nelex69209.2026.11590151","name":"Digital Energy Adaptive Twin Ook Transmitter For Uwb Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/nelex69209.2026.11590151","authors":["D J Shree Devi","A.V. Ananthalakshmi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-13T20:01:34Z","doi":"10.1109/nelex69209.2026.11590151","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1504/ijlsm.2026.151733","name":"Predictive digital twin for 3PL activity","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijlsm.2026.151733","authors":["Mariusz Kmiecik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-19T12:30:29Z","doi":"10.1504/ijlsm.2026.151733","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/aicconf69182.2026.11600710","name":"Digital Twin Guided ACT-R Modeling of Dual-Task Timing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aicconf69182.2026.11600710","authors":["Sonay Duman","Behiye Şahin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-17T19:43:02Z","doi":"10.1109/aicconf69182.2026.11600710","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1080/0951192x.2024.2314787","name":"Digital twin-based reinforcement learning framework: application to autonomous mobile robot dispatching","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2024.2314787","authors":["Amel Jaoua","Samar Masmoudi","Elisa Negri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-15T11:22:09Z","doi":"10.1080/0951192x.2024.2314787","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.matpr.2020.06.446","name":"A review on simulation in digital twin for aerospace, manufacturing and robotics","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.matpr.2020.06.446","authors":["Rakesh Kumar Phanden","Priavrat Sharma","Anubhav Dubey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-07-15T18:36:12Z","doi":"10.1016/j.matpr.2020.06.446","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.4271/2024-01-2053","name":"A Manufacturing Performance Comparison of RSW and RFSSW Using a Digital Twin","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;The design of lightweight vehicle structures has become a common method for automotive manufacturers to increase fuel efficiency and decrease carbon emission of their products. By using aluminum instead of steel, manufacturers can reduce the weight of a vehicle while still maintaining the required strength and stiffness. Currently, Resistance Spot Welding (RSW) is used extensively to join steel body panels but presents challenges when applied to aluminum. When compared to steel, RSW of aluminum requires frequent electrode cleaning, higher energy usage, and more controlled welding parameters, which has driven up the cost of manufacturing. Due to the increased cost associated with RSW of aluminum, Refill Friction Stir Spot Welding (RFSSW) is being considered as an alternative to RSW for joining aluminum body panels. RFSSW consumes less energy, requires less maintenance, and produces more consistent welding in aluminum as compared to RSW. Research has shown that RFSSW is capable of producing joints of similar strengths at comparable cycle times to that of RSW. This paper presents a manufacturing performance comparison of RSW and RFSSW. Using FlexSim DES, a digital twin model of a real production welding cell using RSW on aluminum was created. The same welding cell was then modelled using RFSSW. For this study, a door assembly produced by Toyota North America was selected. The fully automated weld cell consists of 9 industrial robots making 8 unique joints, totaling 85 welds per door. Using the DES model, metrics like cycle times, throughput, etc. were evaluated on a shift level and compared between the processes. In summary, this study provides valuable insights into the comparative manufacturing performance of RSW and RFSSW, shedding light on their respective strengths and weaknesses in a production setting.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-2053","authors":["Damon Gale","Yuri Hovanski","Jeremy Coyne","Kate Namola"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-08T22:55:24Z","doi":"10.4271/2024-01-2053","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/00207543.2020.1714091","name":"Digital twin of composite assembly manufacturing process","source":"crossref","abstract":"","url":"https://doi.org/10.1080/00207543.2020.1714091","authors":["Wilma Polini","Andrea Corrado"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-01-20T04:52:48Z","doi":"10.1080/00207543.2020.1714091","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-91500-0_30","name":"Sustainable Biocomposites and Hybrid Materials by Integrating Digital Manufacturing for Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_30","authors":["Roopsandeep Bammidi","Subrahmanyam Vasamsetti","Aruna Kunda","Zeban Shah","Emmauel Oghenero Emojevu","Laxmanaraju Salavarao","Nura Garba"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:55:08Z","doi":"10.1007/978-3-031-91500-0_30","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7252838","name":"Adaptive Health-aware Gas Path Estimation and Digital Twin Framework for Prognostics of Military Turbofan Engines","source":"crossref","abstract":"Reliable assessment of aircraft engine health has become an essential requirement for modern military propulsion systems operating under highly dynamic flight conditions. Progressive component degradation caused by compressor fouling, turbine erosion, thermal fatigue, seal wear, and long-term operational aging gradually reduces engine efficiency, available thrust, and mission capability while increasing maintenance requirements. Conventional Gas Path Analysis (GPA) techniques provide valuable diagnostic information; however, many existing approaches estimate either engine operating states or health parameters independently and often assume quasi-steady operating conditions. Furthermore, current digital-twin implementations are frequently developed as standalone monitoring environments rather than continuously synchronized estimation frameworks, limiting their ability to support online prognostic decision making.","url":"https://doi.org/10.2139/ssrn.7252838","authors":["Emrah Ekrem Karabag"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-13T06:03:32Z","doi":"10.2139/ssrn.7252838","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.33545/27076571.2025.v6.i2a.172","name":"Architecting data-driven print manufacturing using digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.33545/27076571.2025.v6.i2a.172","authors":["Amit Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-20T06:19:00Z","doi":"10.33545/27076571.2025.v6.i2a.172","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.jmsy.2024.06.004","name":"Digital twin-based anomaly detection for real-time tool condition monitoring in machining","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.06.004","authors":["Zepeng Liu","Zi-Qiang Lang","Yufei Gui","Yun-Peng Zhu","Hatim Laalej"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-27T08:33:01Z","doi":"10.1016/j.jmsy.2024.06.004","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1115/isfa2024-141324","name":"Multi-Fidelity Sensing and Digital Twin System for Automated Monitoring in Cooperative Robotic Additive Manufacturing","source":"crossref","abstract":"Abstract Cooperative robotic additive manufacturing (C-RAM) offers the fabrication of large-scale components through the integration of multiple out-of-bounds robotic systems. However, factors such as wear and tear, calibration drift, temperature fluctuations, and vibrations impact the precision of the robots, leading to anomalies including dimensional inaccuracies, layer morphology issues, or mechanical defects. These anomalies adversely affect the strength and fatigue life of components. Ensuring CRAM systems are robust to defects is critical to the reliability and scalability of large-scale systems. We introduce a novel C-RAM system equipped with multi-fidelity multi-scale sensing (i.e., in-situ thermal imaging and laser scanning) to characterize process quality of a robotic fused deposition modeling (FDM) process. Control and data acquisition are designed through a ROS2-based digital twin modified for FDM fabrication control, allowing robust control of process parameters such as feed rate and extrusion multiplier. The system is evaluated via a case study on the effect of extruder temperature on material deposition height. Sensing data is analyzed, displaying high and low-fidelity quality indicators across extruder temperatures.","url":"https://doi.org/10.1115/isfa2024-141324","authors":["Sean Rescsanski","Tyler Nardi","Vihaan Shah","Jiong Tang","Farhad Imani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-29T20:17:10Z","doi":"10.1115/isfa2024-141324","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.14743/apem2023.4.486","name":"Optimizing smart manufacturing systems using digital twin","source":"crossref","abstract":"Presented paper investigates the application of digital twins for the optimisation of intelligent manufacturing systems and focuses on the comparison between simulation modelling results and real-world production conditions. A digital twin was created in the Simio software environment using a data-driven simulation model derived from a real-world production system. Running the digital twin in real time, which was displayed graphically, facilitated the analysis of key parameters, including the number of finished products, average flow time, workstation utilization and product quality. The discrepancies were attributed to the use of random distributions of input data in the dynamic digital twin, as opposed to the long-term measurements and averages in the real-world system. Despite the limitations in the case study, the results underline the financial justification and predictive capabilities of digital twins for optimising production systems. Real-time operation enables continuous evaluation and tracking of parameters and offers high benefits for intelligent production systems. The study emphasises the importance of accurate selection of input data and warns that even small deviations can lead to inaccurate results. Finally, the paper high-lights the role of digital twins in optimising production systems and argues for careful consideration of input data. It highlights the importance of analysing real-world production systems and creating efficient simulation models as a basis for digital twin solutions. The results encourage extending the research to different types of production, from job shop to mass production, in order to obtain a comprehensive optimisation perspective.","url":"https://doi.org/10.14743/apem2023.4.486","authors":["R. Ojstersek","A. Javernik","B. Buchmeister"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-28T16:50:25Z","doi":"10.14743/apem2023.4.486","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-15602-1_14","name":"Virtual Reality for Interacting with a Manufacturing System Digital Twin—A Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-15602-1_14","authors":["Yafet Haile-Melekot","Karel Kruger","Jörg Niemann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-03T05:04:48Z","doi":"10.1007/978-3-031-15602-1_14","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003268048-2","name":"Computing and Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003268048-2","authors":["Ranjan Ganguli","Sondipon Adhikari","Souvik Chakraborty","Mrittika Ganguli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-29T23:32:52Z","doi":"10.1201/9781003268048-2","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/smartindustrycon68821.2026.11493052","name":"Autonomous Aerial Mapping of Structural Assets through Multi-View Fusion for Digital Twin Refinement","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon68821.2026.11493052","authors":["Murat Bakirci"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T19:47:39Z","doi":"10.1109/smartindustrycon68821.2026.11493052","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-91500-0_1","name":"Historical Evolution Leading to the Current State of Digital Manufacturing in Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_1","authors":["Ashwani Kumar","Yogesh Kumar Singla","Rakesh Joshi","Neha Singh Raghuvanshi","Sonia","Michael R. Maughan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:55:51Z","doi":"10.1007/978-3-031-91500-0_1","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.procir.2019.04.084","name":"A data- and knowledge-driven framework for digital twin manufacturing cell","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2019.04.084","authors":["Chao Zhang","Guanghui Zhou","Jun He","Zhi Li","Wei Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-07-04T09:24:58Z","doi":"10.1016/j.procir.2019.04.084","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-36121-0_71","name":"A Digital Twin for Resilient Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-36121-0_71","authors":["Marisa A. Sánchez","Daniel Rossit","Fernando Tohmé"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-26T19:02:48Z","doi":"10.1007/978-3-031-36121-0_71","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-12-818918-4.00007-5","name":"Digital twin enhanced Theory of Inventive Problem Solving innovative design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-818918-4.00007-5","authors":["Chunlong Wu","Youcheng Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-08T05:00:15Z","doi":"10.1016/b978-0-12-818918-4.00007-5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003498117-9","name":"Exploring the future of digital twin ecosystems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-9","authors":["Anand Jha","Sanjay Patsariya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-9","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-981-99-0252-1_14","name":"Digital Twin Applications in Spacecraft Protection","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_14","authors":["Hande Yavuz","Enis Konacaklı"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1_14","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.56042/jsir.v85i2.22914","name":"Twin Transformation in SMEs: Integrating Digital Technologies and Circular Economy Principles","source":"crossref","abstract":"","url":"https://doi.org/10.56042/jsir.v85i2.22914","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-22T12:14:07Z","doi":"10.56042/jsir.v85i2.22914","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-443-36769-4.00004-x","name":"Digital twin technology: Foundations, applications and implications for next generation healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-36769-4.00004-x","authors":["Miltiadis Lytras","Dimitrios Lytras","Akila Sarirete"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-26T11:58:06Z","doi":"10.1016/b978-0-443-36769-4.00004-x","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/icpege67691.2026.11451418","name":"Application Model Construction of Digital Twin Technology in Machine Vision","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpege67691.2026.11451418","authors":["Haodong Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-27T19:48:32Z","doi":"10.1109/icpege67691.2026.11451418","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-3-031-81477-8_11","name":"Digital Twin and Industrial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-81477-8_11","authors":["Tianyuan Liu","Jinsong Bao","Yu Zheng","Yuqian Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-03T13:16:19Z","doi":"10.1007/978-3-031-81477-8_11","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.jmsy.2024.04.023","name":"Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.04.023","authors":["Vispi Karkaria","Anthony Goeckner","Rujing Zha","Jie Chen","Jianjing Zhang","Qi Zhu","Jian Cao","Robert X. Gao","Wei Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-06T16:18:13Z","doi":"10.1016/j.jmsy.2024.04.023","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003498117-8","name":"Emerging technologies in digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-8","authors":["V. Pietiläinen","V.V. Saari","R. Rusko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-8","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.25236/ajbm.2026.080127","name":"Value Generation of Ecological Agricultural Products in Jilin Province under Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ajbm.2026.080127","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-17T08:30:26Z","doi":"10.25236/ajbm.2026.080127","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.ifacol.2024.09.129","name":"A Digital Twin and Data Spaces framework towards Resilient Manufacturing Value Chains","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2024.09.129","authors":["Emmanouil Bakopoulos","Kostantinos Sipsas","Nikolaos Nikolakis","Kosmas Alexopoulos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-09T13:00:19Z","doi":"10.1016/j.ifacol.2024.09.129","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-91500-0","name":"Digital Manufacturing in Industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:31:19Z","doi":"10.1007/978-3-031-91500-0","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2514/6.2026-2904","name":"AI-Powered Dent Analysis of Aircraft Engine Nacelles Using Altair PhysicsAI: A Lightweight Digital Twin Demonstrator","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2904","authors":["Hariprasad Gowda","Wiley Abbott"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-03T08:40:23Z","doi":"10.2514/6.2026-2904","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1115/msec2021-63900","name":"A Digital Twin for Automated Layup of Prepreg Composite Sheets","source":"crossref","abstract":"Abstract The composite sheet layup process involves stacking several layers of a viscoelastic prepreg sheet and curing the laminate to manufacture the component. Demands for automating functional tasks in the composite manufacturing processes have dramatically increased in the past decade. A simulation system representing a digital twin of the composite sheet can aid in the development of such an autonomous system for prepreg sheet layup. While Finite Element Analysis (FEA) is a popular approach for simulating flexible materials, material properties need to be encoded to produce high-fidelity mechanical simulations. We present a methodology to predict material parameters of a thin-shell FEA model based on real-world observations of the deformations of the object. We utilize the model to develop a digital twin of a composite sheet. The method is tested on viscoelastic composite prepreg sheets and fabric materials such as cotton cloth, felt and canvas. We discuss the implementation and development of a high-speed FEA simulator based on the VegaFEM library [29]. By using our method to identify sheet material parameters, the sheet simulation system is able to predict sheet behavior within 5 cm of average error and have proven its capability for 10 fps real-time sheet simulation.","url":"https://doi.org/10.1115/msec2021-63900","authors":["Yi-Wei Chen","Rex Jomy Joseph","Alec Kanyuck","Shahwaz Khan","Rishi K. Malhan","Omey M. Manyar","Zachary McNulty","Bohan Wang","Jernej Barbič","Satyandra K. Gupta"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-04T16:38:15Z","doi":"10.1115/msec2021-63900","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-91500-0_32","name":"Digital Twins in Product Development","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_32","authors":["R. Immanual","N. Sanjana","K. M. Kirthika","S. Sangeetha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-20T23:46:32Z","doi":"10.1007/978-3-031-91500-0_32","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.cirpj.2023.06.011","name":"A review of unit level digital twin applications in the manufacturing industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cirpj.2023.06.011","authors":["Till Böttjer","Daniella Tola","Fatemeh Kakavandi","Christian R. Wewer","Devarajan Ramanujan","Cláudio Gomes","Peter G. Larsen","Alexandros Iosifidis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-03T07:10:55Z","doi":"10.1016/j.cirpj.2023.06.011","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/icpc2t68221.2026.11646426","name":"Implementation of Digital Twin Technique for Self-Healing Smart Grids","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpc2t68221.2026.11646426","authors":["Rajasi Mandal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-19T19:12:20Z","doi":"10.1109/icpc2t68221.2026.11646426","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/j.mfglet.2023.08.119","name":"A novel bionic decision-making mechanism for digital twin-based manufacturing system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.mfglet.2023.08.119","authors":["Shimin Liu","Pai Zheng","Suiyan Shang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-09T05:16:48Z","doi":"10.1016/j.mfglet.2023.08.119","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/southeastcon63549.2026.11475926","name":"A Digital Twin Framework for Cyber-Physical System Detection in Water Treatment Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1109/southeastcon63549.2026.11475926","authors":["Jonas Chen","Lewis S. Rowles","Rami J. Haddad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-20T20:01:37Z","doi":"10.1109/southeastcon63549.2026.11475926","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/aero66936.2026.11519858","name":"Demonstrating Digital Twin Interoperability Between Heterogeneous Platforms Via Spatial Web","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero66936.2026.11519858","authors":["Alicia Sanjurjo Barrio","Bingbing Li","Edward Chow","Thomas Lu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-22T19:33:47Z","doi":"10.1109/aero66936.2026.11519858","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.4271/2018-01-1928","name":"Challenges of Digital Twin in High Value Manufacturing","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Digital Twin (DT) is a dynamic digital representation of a real-world asset, process or system. Industry 4.0 has recognised DT as the game changer for manufacturing industries in their digital transformation journey. DT will play a significant role in improving consistency, seamless process development and the possibility of reuse in subsequent stages across the complete lifecycle of the product. As the concept of DT is novel, there are several challenges that exist related to its phase of development and implementation, especially in high value manufacturing sector. The paper presents a thematic analysis of current academic literature and industrial knowledge. Based on this, eleven key challenges of DT were identified and further discussed. This work is intended to provide an understanding of the current state of knowledge around DT and formulate the future research directions.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2018-01-1928","authors":["Sumit Singh","Essam Shehab","Nigel Higgins","Kevin Fowler","Tetsuo Tomiyama","Chris Fowler"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2018-11-20T12:07:03Z","doi":"10.4271/2018-01-1928","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.aei.2021.101422","name":"Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2021.101422","authors":["Xiaojing Niu","Shengfeng Qin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-09-17T17:54:08Z","doi":"10.1016/j.aei.2021.101422","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3901/jme.260533","name":"Cognitive Digital Twin Enabled Aerospace Equipment: New Paradigm and Research Frontier","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.260533","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T06:58:01Z","doi":"10.3901/jme.260533","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-12-818918-4.00012-9","name":"Digital twin driven process design evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-818918-4.00012-9","authors":["Xiaojun Liu","Jinfeng Liu","Honggen Zhou","Zhonghua Ni"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-08T05:01:03Z","doi":"10.1016/b978-0-12-818918-4.00012-9","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3901/jme.260534","name":"Digital-twin Based Gradual Fault Prediction Method for Rudder-loop-system","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.260534","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-12T06:58:01Z","doi":"10.3901/jme.260534","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.2139/ssrn.7348798","name":"ISA-95 Ontologies for Digital Manufacturing Transformation Addressing Data Integration, Governance, and Industry 4.0 Challenges in Manufacturing","source":"crossref","abstract":"Manufacturing enterprises pursuing digital transformation face persistent structural barriers that impede the effective deployment of intelligent, data-driven systems. These barriers include data silos across disparate operational systems, semantic heterogeneity between data models, brittle point-topoint integration architectures, and deficient governance frameworks. This paper presents a systematic examination of formal ontologies realised as knowledge graphs and grounded in the ISA-95 (IEC 62264) standard as a semantic foundation for Manufacturing Data Hubs. Through a comprehensive literature review and conceptual analysis, we demonstrate how ISA-95-based ontological models provide a unified conceptualisation of manufacturing entities, including equipment, materials, personnel, and processes, and their interrelationships. This framework enables semantic interoperability, improved data quality, end-to-end traceability, and advanced analytics in support of Industry 4.0 objectives. Key contributions include a structured mapping of ontological solutions to specific industrial data integration challenges, detailed architectural guidance for knowledge graph deployment, and a research agenda for future investigation. Findings indicate that standardised ISA-95 ontologies substantially reduce transformation risks, accelerate time-to-value for digital initiatives, and support the construction of scalable, datacentric manufacturing ecosystems.","url":"https://doi.org/10.2139/ssrn.7348798","authors":["Khemais Jannadi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T04:51:27Z","doi":"10.2139/ssrn.7348798","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1109/iccad69956.2026.11643152","name":"Toward a Digital Twin Framework for Environmental Surveillance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccad69956.2026.11643152","authors":["Ali Bhar","Mounir Sayadi","Moez Bouchouicha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-17T19:20:39Z","doi":"10.1109/iccad69956.2026.11643152","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1145/3811839.3811850","name":"A Review of Digital Twin Applications in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3811839.3811850","authors":["Xuan Yue"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-04T08:18:21Z","doi":"10.1145/3811839.3811850","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-981-95-3413-5_55","name":"Research on Data Asset Management Technology for Nuclear Power Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-3413-5_55","authors":["Min Li","Xu Gong","Huajian Fang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-01T23:48:15Z","doi":"10.1007/978-981-95-3413-5_55","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00009-3","name":"Challenges of Digital Twin in healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00009-3","authors":["Hazim Dahir","Jeff Luna","Ahmed Khattab","Kaouther Abrougui","Raj Kumar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:36:58Z","doi":"10.1016/b978-0-32-399163-6.00009-3","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-21343-4_34","name":"Digital Twin and Cultural Heritage – The Future of Society Built on History and Art","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_34","authors":["Olivia Menaguale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_34","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-21343-4_19","name":"Open Source Practice and Implementation for the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_19","authors":["Stephen R. Walli","David McKee","Said Tabet"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_19","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003395416-8","name":"AI-Driven Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003395416-8","authors":["Maninder Pal Singh","Pankaj Bhambri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-17T18:23:25Z","doi":"10.1201/9781003395416-8","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1049/dgt2.70037","name":"Digital Twin–Driven Low‐Carbon and Economic Scheduling for Integrated Energy System With Learnt Energy–Carbon Coupling Constraints","source":"crossref","abstract":"ABSTRACT The intractable nonlinear relationship between energy flow and carbon emission flow (CEF) challenges the low‐carbon scheduling of integrated energy systems (IES). To address this issue, this paper proposes a digital twin‐driven low‐carbon economic scheduling approach for electricity–heating–gas IES based on energy–carbon coupling constraints learning. Under optimisation with the constraint learning (OCL) framework, a neural network (NN) is trained in the digital twin environment to approximate the mapping from source‐side power injections to load‐side carbon emissions, employing a sparse training strategy to reduce NN model parameters. To improve computational efficiency, an improved ReLU linearisation method based on ideal mixed‐integer programming (MIP) formulation is developed, where strengthening inequalities are separated as needed to obtain tighter relaxations. The learnt CEF constraints are incorporated into the scheduling model, together with a stepped carbon pricing mechanism for low‐carbon demand response. Case studies show that the proposed approach reduces system‐wide carbon emissions, accurately captures energy–carbon coupling and improves the tractability of scheduling optimisation with embedded NN constraints.","url":"https://doi.org/10.1049/dgt2.70037","authors":["Yunge Zhang","Zhejing Bao","Miao Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-13T15:01:40Z","doi":"10.1049/dgt2.70037","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1007/978-981-95-5915-2_10","name":"Modelling the Future: Digital Twins in Sustainable and Climate-Aware Farming","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-5915-2_10","authors":["Hurmat","Balpreet Kaur","Lata Rani","Arun Lal Srivastav"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T12:52:13Z","doi":"10.1007/978-981-95-5915-2_10","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.5220/0015230400004094","name":"A Digital Twin–Oriented Simplified Mathematical Model of RoboSalmon for Multi-Agent Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015230400004094","authors":["Xu Yan","Euan McGookin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-22T01:56:02Z","doi":"10.5220/0015230400004094","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:44.950Z"},{"id":"doi:10.1002/9781119842316.ch13","name":"Digital Twin in Development of Products","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch13","authors":["Pedro Pablo Chambi Condori"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch13","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003268048-5","name":"Digital Twin of Dynamic Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003268048-5","authors":["Ranjan Ganguli","Sondipon Adhikari","Souvik Chakraborty","Mrittika Ganguli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-29T23:32:52Z","doi":"10.1201/9781003268048-5","addedAt":"2026-09-01T01:47:44.950Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/smll.74056","name":"Biomimetic Ion Channel Design for Simultaneous Lithium-Ion Flux Regulation and Interfacial Stabilization in Lithium Metal Batteries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/smll.74056","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/smll.74056","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.12688/f1000research.176817.2","name":"Smart Manufacturing and Production Flexibility under Market and Demand Fluctuations: Evidence from Electrical and Electronic Industrial Companies in Iraq.","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/f1000research.176817.2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.12688/f1000research.176817.2","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/biomimetics11050320","name":"Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11050320","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/biomimetics11050320","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.2147/dddt.s588295","name":"Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.2147/dddt.s588295","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.2147/dddt.s588295","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41378-025-01157-1","name":"Broad tunability of ultrasonic tweezer for multi‑droplet manipulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41378-025-01157-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41378-025-01157-1","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1016/j.watres.2026.125878","name":"AI‑guided design of 3D-printable gyroid spacers for scale‑resistant membrane distillation in sustainable water treatment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.watres.2026.125878","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.watres.2026.125878","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1016/j.ijpharm.2025.126427","name":"A digital twin of a vacuum filter-bed dryer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2025.126427","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijpharm.2025.126427","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.3390/ma19122676","name":"Smart Materials Employed in the Construction Industry: A Systematic Review of Types, Properties, Applications, and Sustainability Performance.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19122676","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19122676","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma19101966","name":"A Review of the Mechanical Behavior of Magnesium Alloys in Compression: From Mechanistic Competition to Structural Regulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19101966","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19101966","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-51380-7","name":"Research on the regional disparities and dynamic evolution of the coupling coordination level between digital industrialization and industrial digitalization in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-51380-7","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-51380-7","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-026-42165-z","name":"Cloud-based collaborative CNC manufacturing framework integrating tool wear monitoring and scheduling support.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42165-z","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-42165-z","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-026-35726-9","name":"Development of a shop floor scheduling and allocation framework for operations management excellence using cutting-edge technologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-35726-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-35726-9","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1007/s00170-026-18236-w","name":"Deriving proxy life cycle assessment datasets for manufacturing machines through data clustering.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00170-026-18236-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s00170-026-18236-w","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.1038/s41598-026-40819-6","name":"How metaverse-enabled digital transformation drives sustainable supply chain innovation: evidence from Pakistan's textile industry.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40819-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-40819-6","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.4248275","name":"Report 2022 on Trends and Risks of the Italian Financial System in a Comparative Perspective (Rapporto 2022 sulla congiuntura e i rischi del sistema finanziario italiano in una prospettiva comparata)","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4248275","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4248275","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.2139/ssrn.4289018","name":"Mandatory CSR in India – A Trailblazer from the East","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4289018","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4289018","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.3877946","name":"Financial Stability Amidst the Pandemic Crisis: On Top of the Wave","source":"preprints","abstract":"The pandemic crisis, which broke out in early 2020, is still affecting human lives and economic activity around the globe, causing unprecedented transformations which were not foreseen just before its onset. The European Union, its citizens and the financial and non-financial firms active therein have also been negatively affected (albeit to a varying degree). Nevertheless, unlike in the two previous, most recent economic crises, namely the 2007-2009 Global Financial Crisis (GFC) and the 2010-2018 sovereign debt crisis in the Eurozone, the impact on the stability of the EU financial system has been comparatively mild so far. This is due to several reasons: most importantly, the root-cause of the pandemic was not attributed to any sector of the financial system but originated in the real economy. Further, the financial regulatory framework had become much more robust in the meantime (albeit also much more complicated to comply with), credit institutions in particular are better capitalised now than in 2008, with (almost across the board) lower ratios of non-performing loans (NPLs) and significantly stronger liquidity, while financial supervision has also been enhanced and the macro-prudential financial framework adopted in the wake of the GFC was fully activated. Finally, many EU Member States and the EU itself acted decisively, and proactively pumped billions of Euros of support programmes into the real economy to prevent an economic meltdown. During the last 15 months, national and EU institutions and agencies have orchestrated their efforts towards establishing an appropriate framework in order to primarily support those parts of the population and of the businesses most severely affected by the pandemic and to contain its negative effects. This included a combination of fiscal policy, monetary policy and financial policy measures; new instruments and rescue funds were introduced, flexibility in the application of several existing rules has been applied to the extent necessary and feasible, and some ‘quick-fix’ legislative actions supplemented the pandemic crisis management toolbox. When we published the first edition of this EBI e-book in May 2020 (‘Pandemic Crisis and Financial Stability’, https://ssrn.com/abstract=3607930), the world seemed to be on the brink of collapse. Reflecting the positive developments over the past year, this second edition supports a more optimistic approach on the further evolution of the pandemic. Entitled ‘Financial stability amidst the pandemic crisis: On top of the wave’, the key assumption is that the various infection waves of the crisis will not be followed by another severe one, as are we gradually reaching a much-desired point of ‘new normality’. And yet, we are ‘on top of the wave’ of the crisis as a whole, as our book title suggests. Therefore, challenges in relation to financial stability should not be underestimated, especially in (but not limited to) the field of NPLs, a new wave of which is emerging due to the impact of the pandemic on the businesses and households mostly affected. Furthermore, accommodating monetary policy measures, conventional and unconventional, fiscal stimuli and temporary financial measures will be lifted as well, meaning that several safety-net components embedded during the pandemic in the institutional and regulatory framework will cease to support economic (including financial) activity in the steady state. In addition, the discussion on the challenges linked inter alia to climate change is in the current constellation more focused than ever before and the adoption of measures to mitigate the related risks is high on policymakers’ and financial supervisors’ agendas. We sincerely hope that this volume will contribute to this debate and may serve as a platform for dialogue to reflect on the right way forward. This publication contains 17 articles, structured in 5 sections, and discussing all of the above considerations. We are grateful to all authors, most of them members of the Academic Board of the European Banking Institute, who participated in this academic work with their valuable contributions. They develop on various regulatory aspects arising from the prolonged pandemic and related to various aspects of financial stability, at a moment when the (potentially treacherous) perception is that we are close to returning to a new normal. The contributors also discuss the long-term implications for banking and financial markets, and/or arrangements for transitioning back to post-pandemic times. Contents: SECTION I: GENERAL OVERVIEW 1. The silver lining of COVID: the end of secular stagnation (Charles Wyplosz) 2. When and how to unwind COVID-support measures to the banking system? (Rainer Haselmann & Tobias Tröger) 3. Lessons from the pandemic for European finance: a twin transformation towards green technology (Wolf-Georg Ringe) 4. EU financial regulation in times of instability (Danny Busch) SECTION II: NON-PERFORMING LOANS 5. Non-performing loans: new risks and policies (Emilios Avgouleas, Rim Ayadi, Marco Bodellini, Giovanni Ferri, Barbara Casu & Willem Peter de Groen) 6. Banking supervision in times of uncertainty: the case of NPLs (Concetta Brescia Morra) 7. Non-performing loans in the pandemic crisis and the Directive on preventive corporate restructuring (Juana Pulgar Ezquerra & Ignacio Signes de Mesa) SECTION III: THE ROLE OF THE ECB 8. The ECB’s response to the COVID-19 crisis and its role in the green recovery (Seraina Grünewald) 9. The implementation of the single monetary policy since the outbreak of the pandemic crisis and some considerations on its impact on financial stability (Christos Gortsos) 10. Next Generation EU: its meaning, challenges, and link to sustainability (Carlos Bosque, David Ramos Muñoz, & Marco Lamandini) SECTION IV: BANKING REGULATION 357 11. Releasability Combined Buffer Requirements after the COVID-19 pandemic (Bart Joosen) 12. Restriction for bank capital remuneration in the Pandemic: A Lesson for the Future or an Outright Extraordinary Measure? (Antonella Sciarrone Alibrandi & Claudio Frigeni) 13. Cultural reforms in Irish banks – A pandemic report card (Blanaid Clarke) 14. Mothballing the economy and the effects on banks (Matthias Lehmann) 15. A post-COVID reformed EU: new fiscal policies preserving financial stability and the future of the banking sector (Luis Morais) SECTION V: CAPITAL MARKETS REGULATION 16. Emergency measures for equity trading: the case against short selling bans and stock exchange shutdowns (Luca Enriques & Marco Pagano) 17. Fixing the core of EU capital markets legislation during the pandemic: temporary exercises or long-term path? (Filippo Annunziata & Michele Siri)","url":"https://doi.org/10.2139/ssrn.3877946","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3877946","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.2139/ssrn.4013906","name":"Hungry at the Table: White Paper on Grocery Workers at the Kroger Company","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4013906","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2022","doi":"10.2139/ssrn.4013906","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:44.951Z"},{"id":"doi:10.2139/ssrn.3671830","name":"Foreword: The Degradation of American Democracy—and the Court","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3671830","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2020","doi":"10.2139/ssrn.3671830","addedAt":"2026-09-01T01:47:44.951Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4405937928","name":"Addressing the Scalability of Network Digital Twins: A Network Sampling Approach","source":"openalex","abstract":"With the increasing complexity of mobile communication networks like 5G/6G networks, characterized by the diversity of network devices, technologies, and applications, advanced network management solutions are needed to ensure real-time network optimization with risk-free decision making operations (e.g., safe network reconfiguration). To achieve this objective, a Network Digital Twin (NDT) paradigm represents an attractive perspective, enabling the manipulation of the virtual counterpart of a real communication network. Nonetheless, generating a Digital Twin of a complex network, comprising thousands of heterogeneous devices and highly dynamic network characteristics (resource usage, network topology, link quality, etc.) poses a serious scalability problem. This paper aims at addressing the scalability problem for the generation of a Digital Twin of a complex network like a 5G/6G network. In particular, the paper proposes a sampling approach in conjunction with a structured network information representation, as well as zoom-in/out operations to enable a modular generation of the NDT.","url":"https://doi.org/10.23919/cnsm62983.2024.10814373","authors":["Mounir Kellil","Siwar Ben Hadj Said","Minh-Thuyen Thi","Christophe Janneteau","Alexis Olivereau"],"tags":["Computer science","Scalability","Sampling (signal processing)","Computer network","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-28","doi":"https://doi.org/10.23919/cnsm62983.2024.10814373","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400391195","name":"Force controlled printing for material extrusion additive manufacturing","source":"openalex","abstract":"In material extrusion additive manufacturing, the extrusion process is commonly controlled in a feed-forward fashion. The amount of material to be extruded at each printing location is pre-computed by a planning software. This approach is inherently unable to adapt the extrusion to external and unexpected disturbances, and the quality of the results strongly depends on a number of modeling and tuning parameters. To overcome these limitations, we propose the first framework for Force Controlled Printing for material extrusion additive manufacturing. We utilize a custom-built extruder to measure the extrusion force in real time, and use feedback on this quantity to continuously control the material flow in closed-loop. We demonstrate the existence of a strong correlation between extrusion force and line width, which we exploit to deposit lines of desired width in a width range of 33 % up to 233 % of the nozzle diameter. We also show how Force Controlled Printing outperforms conventional feed-forward extrusion in print quality and disturbance rejection, while requiring little tuning and automatically adapting to changes in the hardware settings. Our results demonstrate that Force Controlled Printing can deposit lines of desired width under severe disturbances in bed leveling, such as at layer heights ranging between 20 % and 200 % of the nominal height.","url":"https://doi.org/10.1016/j.addma.2024.104297","authors":["Xavier Guidetti","Nathan Mingard","Raul Cruz-Oliver","Yannick Nagel","Marvin Rueppel","Alisa Rupenyan","Efe C. Balta","John Lygeros"],"tags":["Materials science","Extrusion","3D printing","Mechanical engineering","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-01","doi":"https://doi.org/10.1016/j.addma.2024.104297","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412598425","name":"An Integrated Approach to Real-Time 3D Sensor Data Visualization for Digital Twin Applications","source":"openalex","abstract":"Digital twin technology is emerging as a core technology that models physical objects or systems in a digital space and links real-time data to accurately reflect the state and behavior of the real world. For the effective operation of such digital twins, high-performance visualization methods that support an intuitive understanding of the vast amounts of data collected from sensors and enable rapid decision-making are essential. The proposed system is designed as a balanced 3D monitoring solution that prioritizes intuitive, real-time state observation. Conventional 3D-simulation-based systems, while offering high physical fidelity, are often unsuitable for real-time monitoring due to their significant computational cost. Conversely, 2D-based systems are useful for detailed analysis but struggle to provide an intuitive, holistic understanding of multiple assets within a spatial context. This study introduces a visualization approach that bridges this gap. By leveraging sensor data, our method generates a physically plausible representation 3D CAD models, enabling at-a-glance comprehension in a visual format reminiscent of simulation analysis, without claiming equivalent physical accuracy. The proposed method includes GPU-accelerated interpolation, the user-selectable application of geodesic and Euclidean distance calculations, the automatic resolution of CAD model connectivity issues, the integration of Physically Based Rendering (PBR), and enhanced data interpretability through ramp shading. The proposed system was implemented in the Unity3D environment. Through various experiments, it was confirmed that the system maintained high real-time performance, achieving tens to hundreds of Frames Per Second (FPS), even with complex 3D models and numerous sensor data. Moreover, the application of geodesic distance yielded a more intuitive representation of surface-based phenomena, while PBR integration significantly enhanced visual realism, thereby enabling the more effective analysis and utilization of sensor data in digital twin environments.","url":"https://doi.org/10.3390/electronics14152938","authors":["Hyungki Kim","Hyowon Suh"],"tags":["Visualization","Computer science","Computer graphics (images)","Real-time computing","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-23","doi":"https://doi.org/10.3390/electronics14152938","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412907259","name":"Additive electronics manufacturing via droplet jetting technologies: materials, methods, applications, and opportunities","source":"openalex","abstract":"Droplet jetting technologies offer a versatile, digital platform to fabricate functional devices from nanomaterial building blocks. Inkjet, aerosol jet, and electrohydrodynamic jet printing constitute three distinct technologies for precise patterning of functional materials in an additive, digital, and noncontact manner. While the unique physical mechanism of each technology endows it with specific advantages and disadvantages, commonalities in materials compatibility, patterning capabilities, and application domains motivate a holistic assessment of nanomaterial integration with these methods. This report will highlight progress across ink formulation, process design, and application development from recent years, with an emphasis on emerging materials and practical applications in this evolving field of research. This includes an overview of the three printing technologies, a survey of ink formulation and printing efforts across conductive, insulating, and semiconducting materials, an examination of compelling application demonstrations in electronics, sensing, and energy, as well as discussion of key emerging themes related to artificial intelligence, multimaterial printing, and nonplanar patterning.","url":"https://doi.org/10.1039/d5nr02110c","authors":["Ethan B. Secor","Daniel Yeboah","Livio Gamba"],"tags":["Electrohydrodynamics","Nanotechnology","Electronics","Jet (fluid)","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1039/d5nr02110c","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4402620086","name":"COMPARING vaccine manufacturing technologies recombinant DNA vs in vitro transcribed (IVT) mRNA","source":"openalex","abstract":"Vaccine manufacturing fosters the prevention, control, and eradication of infectious diseases. Recombinant DNA and in vitro (IVT) mRNA vaccine manufacturing technologies were enforced to combat the recent pandemic. Despite the impact of these technologies, there exists no scientific announcement that compares them. Digital Shadows are employed in this study to simulate each technology, investigating root cause deviations, technical merits, and liabilities, evaluating cost scenarios. Under this lens we provide an unbiased, advanced comparative technoeconomic study, one that determines which of these manufacturing platforms are suited for the two types of vaccines considered (monoclonal antibodies or antigens). We find recombinant DNA technology to exhibit higher Profitability Index due to lower capital and starting material requirements, pertaining to lower Minimum Selling Price per Dose values, delivering products of established quality. However, the potency of the mRNA, the streamlined and scalable synthetic processes involved and the raw material availability, facilitate faster market penetration and product flexibility, constituting these vaccines preferable whenever short product development cycles become a necessity.","url":"https://doi.org/10.1038/s41598-024-67797-x","authors":["Christina Davidopoulou","Dimitrios Kouvelas","Andreas Ouranidis"],"tags":["Profitability index","Recombinant DNA","Flexibility (engineering)","Biotechnology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-18","doi":"https://doi.org/10.1038/s41598-024-67797-x","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400941650","name":"Digital Trio: Integration of BIM–EIR–IoT for Facilities Management of Mega Construction Projects","source":"openalex","abstract":"Facility Management (FM) has increasingly focused on integrating Building Information Modeling (BIM) with the Internet of Things (IoT), known as digital twins, in large-scale development projects. Effective BIM integration in FM requires improved cooperation among participants across various project stages. This digital revolution aims to enhance planning, construction, and asset management efficiency, benefiting all parties. However, BIM utilization in FM is limited by incomplete owner understanding, insufficient data accessibility, and stakeholders’ unfamiliarity with BIM procedures and standards. Despite recognizing BIM’s significance, the FM industry faces significant implementation challenges. Facility managers often lack a comprehensive understanding of BIM’s benefits in streamlining operations and enhancing cost efficiency, as well as the necessary skills for its use. Addressing these barriers requires developing an Employer’s Information Requirements (EIR) document at a project’s outset, providing a strategic plan and vision for all involved parties. BIM and IoT are pivotal technologies for transitioning to efficient building operations and crucial for reducing time, costs, and operational challenges throughout any project. This research aims to establish a digital trio workflow, integrating BIM, EIR, and IoT to maximize stakeholder benefits. It explores how preparing the EIR through stakeholder communication can improve design processes, sustainability, efficiency, cost, and time, especially for megaprojects.","url":"https://doi.org/10.3390/su16156348","authors":["Ahmed Mohammed Abdelalim","Ahmed Essawy","Aljawharah A. Alnaser","Amna Shibeika","Алаа Шериф"],"tags":["Mega-","Building information modeling","Internet of Things","Systems engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-24","doi":"https://doi.org/10.3390/su16156348","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407441752","name":"Data-driven additive manufacturing with concrete: Enhancing in-line sensory data with domain knowledge, Part I: Geometry","source":"openalex","abstract":"First-time-right manufacturing is an important step toward unlocking the full potential of digital fabrication with concrete (DFC), which can be advanced through data-driven approaches. Non-invasive in-line sensors can collect vast amounts of measurements during the manufacturing process. However, knowledge-driven feature engineering (KDFE) strategies are necessary to extract meaningful information, referred to as features, from the raw sensory data. This contribution, part of a two-part study, presents an approach to integrating KDFE with various in-line sensors in a 3D concrete printing (3DCP) facility, focusing on 2D laser scanning techniques to capture the ‘as-printed’ layer geometry during production. The geometric profiles are translated into features that quantify layer dimensions, cross-sectional area, and surface texture, reducing data complexity while enhancing relevancy. Real-world data is utilized to demonstrate the approach. A companion paper extends the methodology to other sensors, including those monitoring moisture and temperature, further advancing process monitoring in 3DCP. • In-line sensors enable autonomous quality assessment in 3DCP systems. • Knowledge-driven feature engineering reduces complexity in high-dimensional data. • Laser scanning techniques allow for detailed layer and surface geometry analysis. • The computation of geometric features is demonstrated using real-world data.","url":"https://doi.org/10.1016/j.autcon.2025.106020","authors":["Jelle Versteege","Rob Wolfs","T.A.M. Salet"],"tags":["Line (geometry)","Domain (mathematical analysis)","Engineering","Engineering drawing","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-13","doi":"https://doi.org/10.1016/j.autcon.2025.106020","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4394693296","name":"A Review of Modelling Methods for Manufacturing as a Service – Case Additive Manufacturing","source":"openalex","abstract":"Manufacturing as a Service (MAAS) is a promising business model, especially with relatively new technologies such as cloud computing, data integration and digital twins. The article presents the characteristics of MAAS by comparing it to the characteristics of successful Software as a Service (SAAS) solution, which is open, modular, and standardized. It also describes the product, production and network data that MAAS requires to be modelled, managed and shared as a requirement for data modelling. In particular, it focuses on the modelling of product, processes and resources. Among the modelling methods, visual product-process models, matrix methods used to describe system structures, general graphical methods and methods used in system dynamics are briefly discussed. The expressive power of the methods is taken into account, and they are grouped into qualitative and quantitative modelling methods. A case study on metal additive manufacturing is presented, resulting in a generalized model of a key part of the process. The case study results with a model on how the external and internal and output parameters of melt pool influence on the output economic, quality and environmental impact characteristics. Finally, the ability of the modelling methods, the case and the MAAS features are compared. As the model is a tool for interaction between different actors and it needs to be maintained, it is concluded that qualitative and quantitative methods need to be integrated in the case of MAAS.","url":"https://doi.org/10.3233/atde240176","authors":["Antti Pulkkinen","Hari P.N. Nagarajan","Juhani Heilala"],"tags":["Manufacturing engineering","Service (business)","Computer science","Engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-09","doi":"https://doi.org/10.3233/atde240176","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411891931","name":"Transitioning digital automation and manufacturing into industry 5.0","source":"openalex","abstract":"Currently, markets are not compatible with the theories and practices that led to Henry Ford’s success. Mass production has ceased to be the central tenant of manufacturing, usurped by flexibility ...","url":"https://doi.org/10.1080/0951192x.2025.2510829","authors":["Kyoung‐Yun Kim","F.J.G. Silva","Jeremy L. Rickli","R.D.S.G. Campilho","Arnaldo G. Pinto"],"tags":["Automation","Manufacturing engineering","Industry 4.0","Digital manufacturing","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.1080/0951192x.2025.2510829","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407193157","name":"Identification and Prioritization of Critical Success Factors of a Lean Six Sigma–Industry 4.0 Integrated Framework for Sustainable Manufacturing Using TOPSIS","source":"openalex","abstract":"The relationship between Lean Six Sigma, Industry 4.0 and sustainable manufacturing has been evaluated only to a limited extent within this domain of the published literature. A DMAIC-DMADV-based framework along with a phase-by-phase implementation path is proposed in this study to integrate Lean Six Sigma and Industry 4.0 technologies for achieving sustainable manufacturing. The paper also focused on identifying and prioritizing the critical success factors for the implementation of the proposed framework. The critical success factors identified through a literature review are ranked using the multi-decision criteria technique TOPSIS, with input from selected experts across various manufacturing companies. The results highlight that the most important enablers set clear sustainability goals, regularly monitor progress and have a skilled workforce. The findings provide actionable guidance for practitioners, and the study contributes to the existing body of knowledge by offering a comprehensive methodology to integrate Lean Six Sigma and Industry 4.0 for sustainable manufacturing. Further research must focus on the validation of the framework in diverse industrial settings and refining the sustainability assessment model to enhance its adaptability.","url":"https://doi.org/10.3390/su17031331","authors":["Arish Ibrahim","Gulshan Kumar"],"tags":["TOPSIS","Prioritization","Identification (biology)","Lean Six Sigma","Critical success factor"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-06","doi":"https://doi.org/10.3390/su17031331","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4410531477","name":"Performance degradation assessment method for linear motor feed systems driven by digital twins","source":"europepmc","abstract":"To address the challenges of missing degradation samples and the low accuracy of traditional degradation assessment methods in linear motor feeding systems, and considering the advantages of Digital Twin technology in complex equipment status evaluation and performance prediction, this study introduces Digital Twin into the performance degradation assessment of the linear motor feeding system. To resolve the issue of missing degradation samples, a digital integrated model consisting of the mechanical subsystem, electrical subsystem, and control subsystem is established, based on an analysis of the multi-field coupling mechanisms (mechanical, electrical, and magnetic) of the linear motor feeding system. Normal operating conditions and demagnetization degradation conditions are designed, and the motor output characteristics under multiple conditions are simulated and analyzed. A current simulation dataset for both normal and demagnetization degradation conditions is constructed.In response to the challenges posed by the temporal dependence of operational data and the difficulty of identifying degradation states, and leveraging the superior data transformation capabilities of Gramian Angular Field (GAF), which effectively preserves temporal information, this study proposes a performance degradation assessment model combining GAF encoding with the AlexNet convolutional neural network. The model first converts one-dimensional time-series data into two-dimensional images using GAF encoding, and then utilizes the image recognition capabilities of AlexNet to assess the degradation state of the linear motor feeding system. This approach enables the evaluation of irreversible demagnetization degradation levels, achieving an accuracy of 98.3%.Furthermore, compared to the traditional methods of PNN, GRNN, and LS-SVM, the proposed method shows improvements of 10.3%, 4.9%, and 15.2% in the AUC index, respectively. The average accuracy is improved by 10.5%, 5.3%, and 14.7%, significantly enhancing the evaluation accuracy. This method effectively resolves the issue of insufficient real degradation samples and provides a powerful tool for predictive maintenance and performance monitoring in industrial environments.","url":"https://doi.org/10.1038/s41598-025-02347-7","authors":["Zeqing Yang","Yiding Yao","Wei Cui","Yingshu Chen","Beibei Liu","Yi Jin","Yanrui Zhang","Hongwei Zhao","Guofeng Zhang","Wei Yi","Zonghua Zhang"],"tags":["Computer science","Degradation (telecommunications)","Linear motor","Electrical engineering","Engineering"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.1038/s41598-025-02347-7","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4390141384","name":"A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services","source":"openalex","abstract":"The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in features, parts, and conditions, thereby enhancing functionalities while reducing costs. This research emphasizes the incorporation of intelligence in testing processes within production systems. We introduce a novel approach for controlling testing functionality using an asset administration shell enriched with modular artificial intelligence. The proposed architecture is not only effective in controlling the execution behavior through services but also offers the distinct advantage of a modular design. This modularity significantly contributes to the system’s adaptability and scalability, allowing for more efficient and cost-effective solutions as different machine-learning models may be substituted to meet requirements. The effectiveness of this approach is validated through a practical use case of leak testing, demonstrating the benefits of the modular architecture in a real-world application.","url":"https://doi.org/10.1016/j.jmsy.2023.12.004","authors":["Hamood Ur Rehman","Fan Mo","Jack C. Chaplin","Leszek Zarzycki","Mark Jones","Svetan Ratchev"],"tags":["Modular design","Modularity (biology)","Adaptability","Scalability","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-23","doi":"https://doi.org/10.1016/j.jmsy.2023.12.004","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412675172","name":"Measuring digital transformation in high-end equipment manufacturing: an I-P-O model-based approach","source":"openalex","abstract":"The digital transformation of high-end equipment manufacturing enterprises serves as a critical driver for upgrading the manufacturing value chain and achieving high-quality development. This paper constructs an evaluation index system for assessing the digital transformation level of high-end equipment manufacturing enterprises based on the Input-Process-Output (I-P-O) theoretical model. It employs the VHSD-EM model to evaluate the digital transformation levels of 124 such enterprises from 2016 to 2021. Additionally, the barrier model is utilized to analyze the primary obstacles affecting their digital transformation. The findings indicate that (1) overall, the digital transformation levels of high-end equipment manufacturing enterprises exhibited an upward trend from 2016 to 2021, though the growth rate was slow, with relatively few enterprises achieving outstanding transformation levels. Notable differences in scores and changes were observed across five key fields. (2) An indicator perspective reveals that the primary obstacles from 2016 to 2021 are concentrated within the top five, with most showing a slight upward trend. Conversely, from a criteria perspective, the challenges primarily involve enterprise awareness of digital transformation and the process itself, demonstrating a slight downward trend.","url":"https://doi.org/10.1038/s41598-025-11398-9","authors":["Yinzhong Chen","Jingfeng Huang","Yi-Meng Li"],"tags":["Transformation (genetics)","Computer science","Digital transformation","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.1038/s41598-025-11398-9","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4393234720","name":"IMPROVING THE ORGANIZATIONAL EFFICIENCY OF MANUFACTURING ENTERPRISES - THE ROLE OF DIGITAL TRANSFORMATION, RESOURCE PLANNING (ERP), AND BUSINESS PRACTICES","source":"openalex","abstract":"Purpose: An ERP system's primary goal is to improve an organization's organizational efficiency by controlling and optimizing the use of its resources. Method: Both quantitative and qualitative data are combined in the mixed-methods methodology to provide a comprehensive understanding of the subject. To assess the degree of ERP deployment and digital transformation, quantitative data will be gathered. On the other hand, the subtleties of business operations and the interactions between these variables will be investigated using qualitative data. Result and Conclusion: This study offers a thorough grasp of how ERP systems, business processes, and digital transformation can improve organizational effectiveness in manufacturing companies. It advances the field by emphasizing the value of integration and providing useful takeaways as well as recommendations for further study in the quest of manufacturing's operational excellence. Implication of Research: Examine the issues surrounding data privacy and cybersecurity as well as potential solutions in the context of digital transformation and ERP system integration. Originality/Value: Examine how industrial companies are now adopting digital transformation. Evaluate ERP systems' contribution to manufacturing operations optimization. Examine how different business practices affect the effectiveness of an organization.","url":"https://doi.org/10.55908/sdgs.v12i3.2439","authors":["Cen Feng","Dhakir Abbas Ali"],"tags":["Business","Enterprise resource planning","Digital transformation","Transformation (genetics)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-27","doi":"https://doi.org/10.55908/sdgs.v12i3.2439","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4416239354","name":"Advancements and challenges in next-generation mRNA vaccine manufacturing systems","source":"openalex","abstract":"The coronavirus disease 2019 pandemic has accelerated the global adoption and development of messenger RNA (mRNA) vaccine technology. While traditional manufacturing approaches rely on centralized and batch-based processes that are limited in scalability and accessibility, recent innovations in modular, decentralized, and continuous-flow production systems offer promising alternatives. This review summarizes the evolution of mRNA manufacturing, examines technological advances such as BioNTech's BioNTainer and Quantoom's Ntensify, and critically evaluates persistent barriers including raw material supply, regulatory compliance, sustainability, and cold-chain requirements. The implementation of artificial intelligence, thermostable formulations, and self-amplifying mRNA technologies are discussed as future directions. Collectively, these innovations offer a pathway to equitable, scalable, and rapid vaccine deployment in the context of both pandemics and routine immunization.","url":"https://doi.org/10.7774/cevr.2025.14.e40","authors":["Sang Hwan Seo","Man Ki Song"],"tags":["Context (archaeology)","Pandemic","Software deployment","Coronavirus disease 2019 (COVID-19)","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.7774/cevr.2025.14.e40","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4400092770","name":"Quantitative phase imaging based on holography: trends and new perspectives","source":"openalex","abstract":"In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to a quantitative description of the optical wavefront. After 75 years of development, holographic imaging has become a powerful tool for optical wavefront measurement and quantitative phase imaging. The emergence of this technology has given fresh energy to physics, biology, and materials science. Digital holography (DH) possesses the quantitative advantages of wide-field, non-contact, precise, and dynamic measurement capability for complex-waves. DH has unique capabilities for the propagation of optical fields by measuring light scattering with phase information. It offers quantitative visualization of the refractive index and thickness distribution of weak absorption samples, which plays a vital role in the pathophysiology of various diseases and the characterization of various materials. It provides a possibility to bridge the gap between the imaging and scattering disciplines. The propagation of wavefront is described by the complex amplitude. The complex-value in the complex-domain is reconstructed from the intensity-value measurement by camera in the real-domain. Here, we regard the process of holographic recording and reconstruction as a transformation between complex-domain and real-domain, and discuss the mathematics and physical principles of reconstruction. We review the DH in underlying principles, technical approaches, and the breadth of applications. We conclude with emerging challenges and opportunities based on combining holographic imaging with other methodologies that expand the scope and utility of holographic imaging even further. The multidisciplinary nature brings technology and application experts together in label-free cell biology, analytical chemistry, clinical sciences, wavefront sensing, and semiconductor production.","url":"https://doi.org/10.1038/s41377-024-01453-x","authors":["Zhengzhong Huang","Liangcai Cao"],"tags":["Holography","Wavefront","Computer science","Domain (mathematical analysis)","Digital holography"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-27","doi":"https://doi.org/10.1038/s41377-024-01453-x","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4392293742","name":"High Aspect Ratio Composite Wings: Geometrically Nonlinear Aeroelasticity, Multi-Disciplinary Design Optimization, Manufacturing, and Experimental Testing","source":"openalex","abstract":"In the field of aerospace engineering, the design and manufacturing of high aspect ratio composite wings has become a focal point of innovation and efficiency. These long, slender wings, constructed with advanced materials such as carbon fiber and employing efficient manufacturing methods such as vacuum bagging, hold the promise of significantly lighter aircraft, reduced fuel consumption, and enhanced overall performance. However, to fully realize these benefits, it is imperative to address a multitude of structural and aeroelastic constraints. This research presents a novel aeroelastically tailored Multi-objective, Multi-disciplinary Design Optimization (MMDO) approach that seamlessly integrates numerical optimization techniques to minimize weight and ensure structural integrity. The optimized wing configuration is then manufactured, and a Ground Vibration Test (GVT) and static deflection analysis using the Digital Image Correlation (DIC) system are used to validate and correlate with the numerical model. Within the fully automated in-house Nonlinear Aeroelastic Simulation Software (NAS2) package (version v1.0), the integration of analytical tools offers a robust numerical approach for enhancing aeroelastic and structural performance in the design of composite wings. Nonlinear aeroelastic analyses and tailoring are included, and a population-based stochastic optimization is used to determine the optimum design within NAS2. These analytical tools contribute to a comprehensive and efficient methodology for designing composite wings with improved aeroelastic and structural characteristics. This comprehensive methodology aims to produce composite wings that not only meet rigorous safety and performance standards but also drive cost-efficiency in the aerospace industry. Through this multidisciplinary approach, the authors seek to underscore the pivotal role of tailoring aeroelastic solutions in the advanced design and manufacturing of high aspect ratio composite wings, thereby contributing to the continued evolution of aerospace technology.","url":"https://doi.org/10.3390/aerospace11030193","authors":["Touraj Farsadi","Majid Ahmadi","Melin Şahin","Hamed Haddad Khodaparast","Altan Kayran","Michael I. Friswell"],"tags":["Aeroelasticity","Aerospace","Engineering","Multidisciplinary design optimization","Deflection (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-28","doi":"https://doi.org/10.3390/aerospace11030193","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4403466005","name":"Choosing between additive and conventional manufacturing of spare parts: On the impact of failure rate uncertainties and the tools to reduce them","source":"openalex","abstract":"Recently, there has been great interest in using additive manufacturing (AM) to produce spare parts: allowing to produce spare parts with short lead times and close to the point of use, AM reduces the need for large inventories otherwise required by conventional manufacturing (CM) techniques to deal with intermittent spare parts demand. However, using AM to produce spare parts is limited by two main drawbacks: high production costs and uncertain failure rates arising from AM still being a relatively new production technique. While the former can be counterbalanced by inventory cost reductions, it is unclear how the latter impacts the sourcing option decision (i.e. AM or CM). We aim to fill this gap by studying a periodic review model in which spare parts demands follow a Poisson process. To make our analysis accurate and reliable, we leverage a material science approach to obtain realistic values for the failure rate uncertainties. From the results, it emerges that AM is heavily penalized by failure rate uncertainties much higher than those of CM. Consequently, we then focus on some recent tools developed to reduce AM failure rate uncertainties: porosity assessment and in-situ monitoring. We find that the failure rate uncertainty should be reduced by five and six percentage points to make it worthwhile to invest in porosity assessment and in-situ monitoring, respectively. Finally, we determine under which circumstances each tool is preferred over the other and found that porosity assessment is typically the most competitive uncertainty reduction tool.","url":"https://doi.org/10.1016/j.ijpe.2024.109438","authors":["Mirco Peron","Antonio Maria Coruzzolo","Rob Basten","Nils Knofius","Francesco Lolli","Fabio Sgarbossa"],"tags":["Spare part","Failure rate","Computer science","Reliability engineering","Operations management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-16","doi":"https://doi.org/10.1016/j.ijpe.2024.109438","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4414016570","name":"Additive manufacturing of Inconel 718: A review on microstructures and mechanical properties of DED-LB-processed samples","source":"openalex","abstract":"Abstract Additive manufacturing (AM) is a process in which parts are manufactured in a layer-by-layer fashion. Several AM methods have been successfully developed to produce complex geometries and process different materials. Regarding metallic alloys with aerospace applications, directed energy deposition (DED) stands out due to its high deposition rate and superior build quality. Inconel 718 (IN718) is a precipitation-hardened nickel-based superalloy renowned for its exceptional mechanical properties and resistance to oxidation and corrosion at elevated temperatures, up to 650 °C. The alloy derives its strength primarily from the precipitation of γ′ (Ni 3 (Al, Ti)) and γ″ (Ni 3 Nb), with additional strengthening from solid solution elements and carbides. Due to its thermal stability, fatigue resistance, and creep performance, IN718 is widely used in aerospace engines, gas turbines, and petrochemical equipment. This work presents a review of IN718-processed via Laser-based DED, exploring recent studies on microstructural evolution, mechanical properties, and post-processing treatments. Graphical abstract","url":"https://doi.org/10.1557/s43578-025-01663-y","authors":["Thiago Roberto Felisardo Cavalcante","Fábio Edson Mariani","Julián Arnaldo Ávila"],"tags":["Inconel","Microstructure","Materials science","Metallurgy","Alloy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-05","doi":"https://doi.org/10.1557/s43578-025-01663-y","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411428908","name":"Harnessing AI for smart manufacturing: insights from Industry 4.0","source":"openalex","abstract":"This paper empirically establishes artificial intelligence (AI) as a distinct factor of production within a macroeconomic Industry 4.0 model of United States manufacturing. Using a flexible translog production function estimated on monthly data, we account for nonlinearities, technological spillovers, and complementarities among labor, hardware, and AI investments. We use Google Trends search data as a proxy for AI adoption, validated against patent activity, to capture cross-sectoral spillover dynamics critical to general-purpose technologies. Our findings indicate that AI now functions as a separate, productivity-enhancing input, though its benefits, like traditional factors, may be subject to diminishing returns. Labor remains a vital input, complementary to IT capital. The analysis pinpoints a structural break in AI's influence on manufacturing output in late 2017, aligning with broader digital transformation trends. Business leaders should be strategic when selecting AI applications, and policymakers should invest in workforce development and training programs.","url":"https://doi.org/10.1007/s44163-025-00363-0","authors":["D. A. B. Lindberg"],"tags":["Industry 4.0","Smart manufacturing","Manufacturing engineering","Business","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-18","doi":"https://doi.org/10.1007/s44163-025-00363-0","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4416350280","name":"Performance Evaluation Methodology for Federated XR Network Digital Twins in AI-Aware 6G Networks","source":"openalex","abstract":"Network digital twins (NDTs) are emerging as key enablers of 6G networks integrating artificial Intelligence (AI) techniques. NDT systems offer novel features, including real-time monitoring, simulation, enhanced network planning, autonomous management, seamless integration with emerging technologies such as extended reality (XR), among others. When NDTs converge with XR, NDTs can be customized with additional interactive services that are not available in the original network. In this work, artificial intelligence (AI) strategies are applied to a set of XR functions within federated NDTs. While existing NDT approaches follow a one-to-one (1:1) model, where a single NDT instance is deployed from an original network, the one-to-many (1:N) federation model requires the orchestration of multiple XR-tailored NDT instances. The federation of NDTs can be applied across diverse 6G use cases, including telemedicine, UAV management, Industry 4.0, and the remote driving of complex vehicles. Ensuring the optimal operation of the NDT federation requires a methodology tailored to the requirements of each use case. This paper introduces a score-based performance analysis to quantify the benefits achieved through NDT federation. Unlike existing models for the digital twin (DT) federation, this paper introduces a KPI-based rational model that quantifies the trade-off between federation benefits and the associated operational complexity. A mathematical analysis is performed to validate the consistency of the score formula both in general terms and within the context of each specific use case.","url":"https://doi.org/10.3390/fi17110523","authors":["Xavier Calle-Heredia","Xavier Hesselbach"],"tags":["Computer science","Nondestructive testing","Key (lock)","Context (archaeology)","Consistency (knowledge bases)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-17","doi":"https://doi.org/10.3390/fi17110523","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7136259397","name":"Advancing Digital Twins for Building Lifecycle Management in Construction: A Systematic Literature Review","source":"openalex","abstract":"The Fourth Industrial Revolution has accelerated the adoption of advanced digital technologies in construction, with Digital Twin (DT) emerging as a data-driven framework for enhancing project performance, efficiency, and sustainability. Despite these advantages, DT adoption in construction remains limited due to high implementation costs, data integration challenges, and a lack of standardized practices, especially in real-time data utilization and lifecycle management. This study presents a PRISMA-guided systematic literature review of DT applications across the construction lifecycle. The study addresses three main objectives: (1) to analyze DT’s adoption across construction lifecycle phases, (2) to identify barriers and benefits to DT adoption, and (3) to explore research gaps and potential advancements. Peer-reviewed journal articles published between 2003 and 2024 were retrieved from the Scopus and Web of Science databases using structured keyword combinations related to Digital Twin and the built environment. From an initial pool of 3109 records, 53 studies met predefined inclusion criteria. They were analyzed using a lifecycle-oriented thematic coding framework examining application domains, enabling technologies, reported benefits, and implementation constraints. Unlike prior reviews that focus on specific technologies or lifecycle segments, this study provides a lifecycle-wide synthesis of DT maturity across design, construction, operation, and demolition phases. The findings indicate that DT applications are most developed in the design and operation phases, particularly through integration with Building Information Modeling (BIM) and Internet of Things (IoT) systems for simulation, monitoring, and predictive maintenance. In contrast, construction-phase adoption is constrained by challenges in real-time data integration, while demolition and end-of-life applications remain largely conceptual. Overall, current DT implementations are predominantly phase-specific rather than lifecycle-integrated, therefore emphasizing the need for standardized data frameworks, scalable architectures, and cross-phase governance strategies to enable end-to-end lifecycle digitalization in construction.","url":"https://doi.org/10.3390/buildings16061151","authors":["Tran Duong Nguyen","Sanjeev Adhikari"],"tags":["Scopus","Systematic review","Process management","Data science","Demolition"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-14","doi":"https://doi.org/10.3390/buildings16061151","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7129237350","name":"AI-powered open-source infrastructure for accelerating materials discovery and advanced manufacturing","source":"openalex","abstract":"Abstract Recent advances in artificial intelligence (AI) offer significant opportunities to drive industrial transformation by addressing growing societal demands for products, techno-economic efficiency, and reduced carbon footprints. This review presents a structured framework for building transparent, scalable, and sustainable AI-driven infrastructures spanning conceptualization to commercialization for materials discovery and advanced manufacturing. The framework traces the evolution of materials development from empirical approaches toward integrated AI-enabled platforms, emphasizing open-source tools that unify data acquisition, modeling, simulation, and deployment to democratize access, foster collaboration, and enhance reproducibility. Key enabling components include self-driving laboratories for real-time optimization, advanced computational approaches for high-fidelity data, and blockchain-based mechanisms for secure data sharing, provenance, and supply-chain traceability. The review further discusses the importance of machine learning for materials property prediction, synthesis and process optimization, together with scalable cloud–edge architectures that improve efficiency and reduce latency. Emphasis is placed on lifecycle-aware design, techno-economic analysis, and ethical AI principles to align industrial development with global sustainability goals.","url":"https://doi.org/10.1038/s43246-026-01105-0","authors":["Mariangeles Salas","Anand Singh","Carlos Pignataro","Lokendra Pal"],"tags":["Commercialization","Software deployment","Conceptualization","Process (computing)","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-17","doi":"https://doi.org/10.1038/s43246-026-01105-0","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4225991540","name":"Mixed reality towards environmentally sustainable manufacturing – overview, barriers and design recommendations","source":"openalex","abstract":"Mixed reality (MR) stands for the seamless combination of the physical world and virtual objects, e.g. in form of augmented reality (AR) on head mounted displays or on smartphones. The underlying technologies are more and more mature and various use cases in and beyond manufacturing can be found in industry and research. Typical applications deal with e.g. support of maintenance, quality management, assembly operations or training. However, the question arises how promising MR potentials can also be tapped towards environmental sustainability in manufacturing. Against this background, this paper identifies and analyses existing MR approaches with direct or indirect contributions, but also analyses related efforts and barriers. Based on this, feasible design strategies are suggested to support the development of future environmentally sustainability oriented MR solutions for manufacturing.","url":"https://doi.org/10.1016/j.procir.2022.02.051","authors":["Sebastian Thiede","Roy Damgrave","Eric Lutters"],"tags":["Sustainability","Augmented reality","Virtual reality","Quality (philosophy)","Mixed reality"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.procir.2022.02.051","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407590041","name":"Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review","source":"openalex","abstract":"Abstract The operational reliability of large mechanical equipment is typically influenced by the functional effectiveness of key components. Consequently, prompt repair before their failure is necessary to ensure the dependability of mechanical equipment. The prognostic and health management (PHM) technology could track the system’s health state and timely detect faults. Therefore, the remaining useful life (RUL) prediction as one of the key components of PHM is rather important. Accurate RUL prediction results could be the data support for condition-based equipment maintenance plans. Also, it could increase the dependability and safety of mechanical equipment while reducing the loss of human and financial resources and meet the requirements of sustainable manufacturing in the Industry 4.0 era. However, with the widespread use of deep learning in the field of intelligent manufacturing, there is a lack of review on RUL prediction based on deep learning. In this paper, different deep learning-based RUL prediction methods for mechanical components are summarized and classified, along with their pros and cons. Then, the case study on the C-MAPSS dataset is mainly conducted and different methods are compared. And finally, the difficulties and future directions of the RUL prediction in practical scenarios are discussed.","url":"https://doi.org/10.1017/s0890060424000271","authors":["Yuwen Pan","Shijia Kang","Linggang Kong","Jiaju Wu","Yonghui Yang","Hongfu Zuo"],"tags":["Manufacturing engineering","Computer science","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1017/s0890060424000271","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4406111502","name":"Systems Engineering Methodology for Digital Supply Chain Business Models","source":"openalex","abstract":"ABSTRACT Globalization and growing business dynamics lead to weakly harmonized supply chain (SC) systems. While smart technology offers innovation opportunities, supply chains often lack the integration needed to fully leverage resources and collaboration. A comprehensive systems engineering (SE)‐driven model for integrated innovation and optimization of smart SC business models is still missing. This study, through case research at SAP SE's Industry 4.0 division and three automotive companies, identifies key digital transformation objectives and interoperability gaps hindering smart opportunities. Systems engineering, supply chain management (SCM), and artificial intelligence (AI) methods were synthesized into a holistic SE‐driven model for transforming and optimizing SC business models. This model integrates management concepts like the theory of ambidexterity and dynamic capabilities, with SE methods capability engineering and complex adaptive systems, and semantic web concepts. Key SE contributions include meta‐modeling multi‐tier SC architectures, ensuring performance and resilience via simulations, and balancing value exploration and exploitation. Moreover, semantic harmonized and profit‐optimized SC ecosystems enable collaborative innovation for flexible, efficient manufacturing—a core Industry 4.0 principle. This SE‐driven model, validated by experts, provides a concise view of digital SC business models and a driver of generative design.","url":"https://doi.org/10.1002/sys.21802","authors":["Jochen Nuerk","František Dařena"],"tags":["Supply chain","Computer science","Business model","Interoperability","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-05","doi":"https://doi.org/10.1002/sys.21802","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4401891734","name":"Navigating the Fourth Industrial Revolution: SBRI - A Comprehensive Digital Maturity Assessment Tool and Road to Industry 4.0 for Small Manufacturing Enterprises","source":"openalex","abstract":"This article presents the development and validation of SBRI (Small Business Digital Maturity Assessment and Road to Industry 4.0), an innovative methodology for assessing digital maturity and supporting digital transformation specifically designed for small manufacturing enterprises in the context of Industry 4.0. Unlike existing models, which are often too complex or unsuitable for smaller organizations, SBRI considers the unique characteristics and constraints of small businesses. The methodology includes five key dimensions: Strategy, Technology, Process, People, and Organization, elaborated into 25 subdimensions with specific maturity criteria and indicators. The SBRI includes a structured roadmap for digital transformation through a proposed digital maturity continuous improvement cycle. An empirical study involving 23 small manufacturing enterprises in the Czech Republic has demonstrated the validity and practical applicability of the methodology. The results showed an average level of enterprise digital maturity of 0.9 on a scale of 0 – 4. These findings suggest that small businesses are just at the beginning of their digital transformation journey. Therefore, the SBRI methodology represents a valuable tool for navigating small businesses through their digital transformation journey, contributing to academic discourse and practical application of Industry 4.0 principles in the small business segment.","url":"https://doi.org/10.21062/mft.2024.074","authors":["Luděk Volf","Gejza Dohnal","Libor Beránek","Jiří Kynčl"],"tags":["Maturity (psychological)","Digital transformation","Capability Maturity Model","Service Integration Maturity Model","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-26","doi":"https://doi.org/10.21062/mft.2024.074","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4392130427","name":"Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review","source":"openalex","abstract":"The construction industry faces many challenges, including schedule and cost overruns, productivity constraints, and workforce shortages. Compared to other sectors, it lags in digitalization in every project phase. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies revolutionizing the construction sector. However, a discernible gap persists in systematically categorizing the applications of these technologies throughout the various phases of the construction project life cycle. In response to this gap, this research aims to present a thorough assessment of the deployment of AI and ML across diverse phases in construction projects, with the ultimate goal of furnishing valuable insights for the effective integration of these intelligent systems within the construction sector. A thorough literature review was performed to identify AI and ML applications in the building sector. After scrutinizing the literature, the applications of AI and ML were presented based on a construction project life cycle. A critical review of existing literature on AI and ML applications in the building industry showed that AI and ML applications are more frequent in the planning and construction stages. Moreover, the opportunities for AI and ML applications in other stages were discussed based on the life cycle categorization and presented in this study. The practical contribution of the study lies in providing valuable insights for the effective integration of intelligent systems within the construction sector. Academically, the research contributes by conducting a thorough literature review, categorizing AI and ML applications based on the construction project life cycle, and identifying opportunities for their deployment in different stages.","url":"https://doi.org/10.1016/j.heliyon.2024.e26888","authors":["Shuvo Dip Datta","Mobasshira Islam","Md. Habibur Rahman Sobuz","Shakil Ahmed","Moumita Kar"],"tags":["Software deployment","Transformative learning","Workforce","Engineering","Applications of artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-24","doi":"https://doi.org/10.1016/j.heliyon.2024.e26888","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4408208073","name":"Leveraging AI and cloud solutions for energy efficiency in large-scale manufacturing","source":"openalex","abstract":"The integration of Artificial Intelligence (AI) and cloud solutions is revolutionizing energy efficiency in large-scale manufacturing, offering transformative potential to address the sector's pressing challenges. Manufacturing industries face growing pressure to optimize energy use, reduce operational costs, and meet stringent sustainability targets. This paper explores how AI-driven cloud technologies can enhance energy efficiency through predictive analytics, real-time monitoring, and intelligent automation, ensuring sustainable and cost-effective operations. AI-powered systems leverage machine learning algorithms and Internet of Things (IoT) sensors to collect and analyze energy consumption data across manufacturing facilities. By identifying patterns, anomalies, and inefficiencies, these solutions enable predictive maintenance and dynamic load balancing, reducing energy waste. Cloud-based platforms provide scalable infrastructure for centralized data storage and seamless communication between devices, fostering collaboration across distributed manufacturing sites. Furthermore, real-time analytics delivered through cloud dashboards empower managers to make informed decisions and implement proactive energy-saving measures. This study highlights the role of AI in optimizing energy-intensive processes such as heating, cooling, and material handling. For instance, deep learning algorithms can fine-tune production parameters to maximize output while minimizing energy consumption. Similarly, AI-enabled demand forecasting allows manufacturers to align energy procurement with production needs, mitigating peak load costs and ensuring operational continuity. Despite these advantages, adopting AI and cloud solutions presents challenges, including high initial investment, data security concerns, and workforce skill gaps. To overcome these barriers, this paper proposes a strategic implementation framework, emphasizing the importance of stakeholder collaboration, robust cybersecurity measures, and capacity-building initiatives to ensure the seamless adoption of AI and cloud technologies in manufacturing. The findings underscore the potential of AI and cloud solutions to redefine energy efficiency in manufacturing, aligning with global sustainability goals and economic competitiveness. By harnessing these technologies, manufacturers can achieve significant energy savings, reduce carbon footprints, and drive long-term operational excellence.","url":"https://doi.org/10.30574/ijsra.2024.13.2.2314","authors":["Nnaemeka Stanley Egbuhuzor","Ajibola Joshua Ajayi","Experience Efeosa Akhigbe","Oluwole Oluwadamilola Agbede"],"tags":["Cloud manufacturing","Cloud computing","Scale (ratio)","Computer science","Efficient energy use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-30","doi":"https://doi.org/10.30574/ijsra.2024.13.2.2314","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4401061079","name":"USE OF DIGITAL DOUBLE FOR COMPONENT MANUFACTURING","source":"openalex","abstract":"One of the contemporary approaches to production planning involves the application of digital twins technology, which aims to combine information from a real physical object and its virtual counterpart. The integration and synchronization of this information enable the realization of the manufacturing process with real-time tracking of the current state of the product and production. Utilizing the capabilities of modern computer technologies and digital twins creation technology allows for the assessment of the manufacturing process and its shortcomings even at the creation stage. The digital twins of the physical production process enable timely evaluation of design efficiency, avoidance of costly physical reconfigurations, attainment of maximum efficiency, shortened timelines, and reduced implementation costs through optimization. The model of the assembly process constructed in this way reflects the essential components and sequences. The foundation for implementing the digital twins of production is the model of the product itself, which serves as an integral part and basis of the entire digital model. Assessing the assembly of such a product objectively, its constituent elements, and the sequence of their assembly, allowed for the formulation of a description of the digital model of product assembly. The language used to describe the model is based on sets of relation types between components, assembly units of the product, and the constraints imposed on them within the given assembly. Such analytical notation of product components reflects the assembly process and constitutes a model of the technological assembly sequence. The proposed linguistic description of the product and the digital twins of the design enable the formalization of the three-dimensional assembly process during the design of assembly units and products, allowing for the modeling of their assembly process at the stage of design engineering.","url":"https://doi.org/10.31891//2307-5732-2024-335-3-28","authors":["M. V. Filippova","Mariia Demchenko","OLEKSII FILIPPOV","Serhii Zaiets"],"tags":["Component (thermodynamics)","Computer science","Manufacturing engineering","Engineering","Physics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-30","doi":"https://doi.org/10.31891//2307-5732-2024-335-3-28","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4415740881","name":"Application of Artificial Intelligence in Electronics and Semiconductor Industries","source":"openalex","abstract":"The global semiconductor industry is expected to reach $650 billion by 2024, spurred by the adoption of 5th Generation (5G), artificial intelligence (AI), and Internet of Things (IoT) technologies, making the electronics and semiconductor sector a key component of technological innovation worldwide. With 13% of the global market for semiconductor assembly, packaging, and testing, Malaysia is a key player. The electrical and electronics (E&E) sector contributes 5.8% of the nation’s GDP and 40% of its exports. By improving fault detection accuracy to over 90% and lowering maintenance costs by up to 25%, the incorporation of AI into semiconductor production has revolutionized processes. The $5.3 billion National Semiconductor Strategy and Malaysia’s Industry 4.0 goals align with AI-powered solutions that maximize productivity, anticipate equipment faults, and encourage sustainable practices. The review focuses on the integration and effectiveness of AI in the electronics and semiconductor industry including the utilization of AI in quality control and inspection, and inventory management. Emphasizing its impact on productivity, innovation, and global competitiveness particularly for fault detection, predictive maintenance, sustainable manufacturing practices, productivity enhancement, and economic contribution of semiconductors. The challenges of high energy consumption associated with AI infrastructure are also discussed. However, it is realized that the application of AI has greatly increased productivity, quality, and efficiency by reducing waste and managing to build robust and adaptable manufacturing ecosystems. Future advancements in AI, including digital twins and robotics, could create strong and flexible manufacturing systems, leading to a more innovative and resilient semiconductor industry.","url":"https://doi.org/10.17576/jkukm-2025-37(7)-11","authors":["Muhammad Hafiz","Eisrul Danish Syahmi Kamarul Azmi","Muhammad Irfan Nazly Noor Azlie","M. J. Zaki","Muhammad Amirul Haikal Mazilan","Muhammad Syahmi Mohd Mazuki","Muhammad Ilham Najmi Mohd Nor","Jaharah A. Ghani","Mohd Sabirin Rahmat","Nor Kamaliana Khamis"],"tags":["Electronics","Manufacturing engineering","Productivity","Semiconductor device fabrication","Advanced manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-30","doi":"https://doi.org/10.17576/jkukm-2025-37(7)-11","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4390403689","name":"IIoT System for Intelligent Detection of Bottleneck in Manufacturing Lines","source":"openalex","abstract":"Production lines face numerous challenges to meet market demands, including constant changes in products that require continuous adjustments. Efficient and rapid reconfiguration and adaptation of production processes are crucial. In cases of inadequate adaptation, bottlenecks can arise due to human errors or incorrect configurations, often introducing complexity in pinpointing the root cause and resulting in financial losses. Furthermore, improper machine maintenance contributes to this situation as well. This article seeks to establish a framework grounded in the contemporary smart factory, the IIoT, the Industry 4.0 paradigm, and Big Data. The proposed system places emphasis on leveraging real-time data analysis for predicting risks, while concurrently conducting a thorough analysis of historical data to monitor trends and enhance bottleneck identification. The defined architecture operates across multiple levels, acquiring real-time information and generating historical data for training and continuous optimization. Predictive results contribute to decision-making and assist in mitigating bottlenecks in manufacturing lines.","url":"https://doi.org/10.3390/app14010323","authors":["Manuel José Rodríguez Aguilar","Ismael Abad","J.A. Cerrada"],"tags":["Bottleneck","Computer science","Adaptation (eye)","Risk analysis (engineering)","Control reconfiguration"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-29","doi":"https://doi.org/10.3390/app14010323","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411738013","name":"Research Progress and Application Scenarios of Wire + Arc Additive Manufacturing: From Process Control to Performance Evaluation","source":"openalex","abstract":"In recent years, with the innovation and continuous development of additive manufacturing technology, research on wire arc additive manufacturing technology (WAAM) has become increasingly common and in-depth in the chemical industry, mold manufacturing, and other fields. Therefore, it has attracted the attention of many universities, research institutes, and aerospace industries, conducted in-depth research on WAAM technology, and achieved certain research results. This paper briefly summarizes the current research status of arc additive manufacturing technology and summarizes the application status of WAAM technology in product development, personalized customization, traditional process replacement, \"material-structure-function\" integration, mold repair, etc. WAAM technology has huge development potential and good application prospects. In the future, arc additive manufacturing will develop in the direction of intelligence and high precision.","url":"https://doi.org/10.3390/mi16070749","authors":["Chun Guo","Qingcheng Lin","Ruizhang Hu","Suisong Wu"],"tags":["Manufacturing engineering","Aerospace","Process (computing)","Function (biology)","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.3390/mi16070749","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W7120134461","name":"DIGITAL TWIN–ENABLED OPTIMIZATION OF ELECTRICAL, INSTRUMENTATION, AND CONTROL ARCHITECTURES IN SMART MANUFACTURING AND UTILITY-SCALE SYSTEMS","source":"openalex","abstract":"This quantitative, multi-site study examined whether digital twin–enabled optimization was associated with measurable improvements in electrical, instrumentation, and control (EIC) architecture performance across smart manufacturing and utility-scale systems. The study used a longitudinal, multilevel panel design with clustered observations at asset, system, and site levels. The final analytic sample included 18 cases (10 manufacturing plants and 8 utility-scale segments), 96 systems, and 1,842 assets observed over 180 days, yielding 17,280 system-days after data coverage screening. Composite indices representing observability, synchronization quality, integration readiness, and data integrity demonstrated acceptable internal consistency (α = 0.78–0.88). Multilevel regression results indicated that optimization exposure was associated with lower downtime and improved continuity. Downtime decreased by 0.74 hours per system-month (95% CI −1.05 to −0.43, p < 0.001) and availability increased by 1.9 percentage points (95% CI 1.1 to 2.7, p < 0.001). Efficiency outcomes improved, with normalized loss intensity decreasing by 3.6% (95% CI −5.2 to −2.0, p < 0.001) and voltage deviation indices decreasing by 4.1% (95% CI −6.8 to −1.4, p = 0.003). Integrity outcomes improved, as interruption rates decreased (IRR = 0.86, 95% CI 0.79 to 0.94, p = 0.001) and misoperation-related events declined (IRR = 0.81, 95% CI 0.70 to 0.94, p = 0.006). Data quality improved, with completeness increasing by 1.5 percentage points (95% CI 0.9 to 2.1, p < 0.001) and alignment issue rates decreasing by 0.8 percentage points (95% CI −1.2 to −0.4, p < 0.001). Domain moderation indicated stronger downtime reductions in manufacturing and stronger integrity gains in utilities. Mediation evidence suggested that observability and synchronization quality explained a meaningful portion of reliability and integrity improvements. These findings establish digital twin–enabled optimization as a critical lever for architectural resilience, providing a data-driven framework for scaling EIC systems in high-criticality environments.","url":"https://doi.org/10.63125/pqfdjs15","authors":["Project Leader, Water & Wastewater Operations, Veolia North America, Jefferson City, Missouri, USA","Tasnim Kabir"],"tags":["Downtime","Reliability engineering","Statistics","Consistency (knowledge bases)","Data integrity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.63125/pqfdjs15","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409590847","name":"Machine vision in manufacturing SMEs: a review","source":"openalex","abstract":"Abstract Automating manufacturing tasks, such as quality control, fault detection, part classification, and inventory management with machine vision systems can significantly improve process efficiency, accuracy, and productivity. As a result, the machine vision technology market is expanding, largely driven by its applications in manufacturing across both hardware and software sectors. Nevertheless, small- and medium-sized enterprises (SMEs) face distinct challenges in the implementation of such systems due to their human, technical, and organizational constraints. An overview of the current state of research and practical insights is essential to address these constraints and guide future developments. Although some surveys and interviews have been conducted, no comprehensive review outlines scientific literature on research methods and initiatives related to the characteristics and challenges of adopting machine vision systems in industrial SMEs. Therefore, we present a systematic literature review to identify applications, challenges and proposed approaches for machine vision and its adoption in industrial SMEs, analyzing 770 articles. The review highlights quality control as the prominent application, while primary challenges for SMEs include limited investment capacity, labor and expertise shortages, and high-variety, low-volume production, which often leads to insufficient data for training algorithms. Furthermore, the review identifies approaches involving low-cost hardware, open-source software, and intuitive-to-use systems as potential solutions to these challenges. Although many articles contribute to highly specific problems of SMEs, we identified a lack of broader applicable interdisciplinary approaches to integrate machine vision. This article outlines challenges and initiatives for adopting machine vision across different applications to enhance value generation for industrial SMEs facing specific challenges. Future research can leverage our findings to develop industrial solutions or explore new research directions in this domain.","url":"https://doi.org/10.1007/s42452-025-06923-4","authors":["Jonas Werheid","Hannes Behnen","Jan-Henrik Woltersmann","Shengjie He","Tobias Hamann","Anas Abdelrazeq","Robert Schmitt"],"tags":["Manufacturing engineering","Business","Computer science","Computer vision","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-19","doi":"https://doi.org/10.1007/s42452-025-06923-4","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411565456","name":"Circular Industrialized Construction: A Perspective Through Design for Manufacturing, Assembly, and Disassembly","source":"openalex","abstract":"Improving resource efficiency by reducing waste and process inefficiencies across the building life cycle is essential for advancing sustainability in the built environment. Circular and industrialized construction offer complementary strategies to meet this challenge. While Design for Manufacturing and Assembly (DfMA) enhances constructability, standardization, and productivity in early project phases, Design for Disassembly (DfD) facilitates material recovery and adaptability at end-of-life. Despite their synergies, their integrated application remains underexplored. This study proposes a unified framework—Design for Manufacturing, Assembly, and Disassembly (DfMAD)—to align value creation and value retention strategies across the life cycle. A systematic literature review of 102 articles, following PRISMA guidelines, combined bibliometric and thematic analysis to identify key principles, benefits, barriers, and enablers of DfMA and DfD. Cross-mapping these findings revealed conceptual overlaps and distinctions and informed the synthesis of core DfMAD attributes. The resulting framework offers a life cycle-oriented approach that supports product-based delivery, traceability, and circular design strategies. By promoting shared logic across disciplines and project phases, DfMAD provides a foundation for operationalizing circularity in industrialized construction, contributing both theoretical and practical guidance for advancing resource-efficient, adaptable, and disassemblable building systems.","url":"https://doi.org/10.3390/buildings15132174","authors":["Héctor Hernández"],"tags":["Perspective (graphical)","Engineering","Manufacturing engineering","Systems engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-22","doi":"https://doi.org/10.3390/buildings15132174","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4392154994","name":"Application of Life Cycle Assessment to Analysis of Fibre Composite Manufacturing Technologies in Shipyards Industry","source":"openalex","abstract":"Life cycle assessment (LCA) is used to evaluate the environmental load of fibre composite manufacturing technologies in the shipyards industry in a frame of the Fibre4Yards (Horizon 2020) project. This paper is focused on the LCA of fibre-reinforced polymer (FRP) technologies used to produce all elements of the floating unit, i.e., the conventional vacuum infusion technology for the deck panel and adaptive mould process for superstructure panels, ultraviolet (UV) curved pultrusion process for the production of stiffeners, hot stamping technology for brackets, and three-dimensional (3D) printing and automatic tape placement (ATP) for pillars. Environmental impact was assessed based on standard indicators: Global Warming Potential, water consumption, and fossil resource scarcity. The results indicate that the total carbon footprint of analysed FRP technologies is mainly produced by the type of the materials applied rather than by the amount of energy consumed during the process.","url":"https://doi.org/10.3390/pr12030461","authors":["Aleksandra Ziemińska‐Stolarska","Mariia Sobulska","Monika Pietrzak","Ireneusz Zbicińśki"],"tags":["Pultrusion","Life-cycle assessment","Fibre-reinforced plastic","Carbon footprint","Greenhouse gas"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-24","doi":"https://doi.org/10.3390/pr12030461","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4401588051","name":"Additive Manufacturing for Complex Geometries","source":"openalex","abstract":"Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the production of complex geometries that were once challenging or impossible to achieve through traditional manufacturing techniques. This paper investigates the capabilities of additive manufacturing in producing intricate designs, focusing on the unique advantages and potential applications across various industries. Additive manufacturing enables the creation of complex geometries by adding material layer by layer, allowing for greater design freedom and the ability to produce structures with intricate internal features, complex curves, and lightweight lattice structures. This capability is particularly advantageous in fields such as aerospace, biomedical, and automotive, where weight reduction, customization, and the integration of complex internal channels are critical. The study explores various additive manufacturing technologies, including stereolithography (SLA), selective laser sintering (SLS), and fused deposition modeling (FDM), highlighting their specific strengths and limitations in producing complex geometries. Factors such as material properties, resolution, surface finish, and build size are analyzed to determine the suitability of different AM processes for specific applications. Additionally, the research delves into the design considerations and software tools that facilitate the creation of complex geometries in AM, including generative design and topology optimization. These tools leverage the design freedom offered by AM to optimize structures for weight, strength, and functionality, pushing the boundaries of what is possible in product design. The paper concludes with an examination of the challenges and future directions in the field, such as improving material properties, reducing production costs, and enhancing the accuracy and reliability of AM processes. The potential of additive manufacturing to revolutionize the production of complex geometries is underscored, emphasizing its growing importance in modern manufacturing and its role in enabling innovative solutions across various industries. This abstract provides an overview of the potential and challenges of additive manufacturing for producing complex geometries, suitable for an academic paper or report. If you need more specific information or have a different focus, feel free to ask!","url":"https://doi.org/10.20944/preprints202407.2602.v1","authors":["Axel Egon","Chris Bell","Ralph Shad"],"tags":["Computer science","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-02","doi":"https://doi.org/10.20944/preprints202407.2602.v1","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4391899059","name":"A security‐enhanced equipment predictive maintenance solution for the ETO manufacturing","source":"openalex","abstract":"Summary With the rapid advancement of intelligent manufacturing, ensuring equipment safety has become a crucial prerequisite for enterprise production. In the engineer‐to‐order (ETO) production mode, characterized by diverse equipment types and frequent adjustments in production lines, equipment maintenance has become increasingly complex. Traditional maintenance plans are no longer adequate to meet the evolving demands of equipment maintenance. This paper proposes a security‐enhanced predictive maintenance scheme specifically designed for ETO‐type production equipment. The scheme utilizes industrial Internet of Things (IIoT) technology to monitor machines and equipment, constructs prediction models using machine learning methods, and reinforces the security of the prediction system through adoption of a decentralized architecture with blockchain distributed storage. In this experiment, six supervised learning models were compared, and it was found that the model based on the random forest algorithm achieved an outstanding accuracy rate of 98.88%. Furthermore, the average total response time for generating predictions within the system is 2.0 s, demonstrating a performance suitable for practical equipment maintenance applications.","url":"https://doi.org/10.1002/nem.2263","authors":["Xiangyu Cao","Zhengjun Jing","Xiaorong Zhao","Xiaolong Xu"],"tags":["Computer science","Predictive maintenance","Reliability engineering","Manufacturing engineering","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-17","doi":"https://doi.org/10.1002/nem.2263","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411384680","name":"Regulatory Perspectives for AI/ML Implementation in Pharmaceutical GMP Environments","source":"europepmc","abstract":"Integrating artificial intelligence (AI) and machine learning (ML) into pharmaceutical manufacturing processes holds great promise for enhancing efficiency, product quality, and regulatory compliance. However, implementing good manufacturing practices (GMP) in regulated environments introduces complex challenges related to validation, data integrity, risk management, and regulatory oversight. This review article comprehensively analyzes current regulatory frameworks and guidance for AI/ML in pharmaceutical Good Manufacturing Practice (GMP) settings, identifies gaps and uncertainties, and proposes considerations for future policy development. Emphasis is placed on understanding regulatory expectations across various agencies, including the US FDA, EMA, and MHRA. This article examines verified case studies and pilot programs that demonstrate the successful application of AI/ML under regulatory scrutiny, as well as recent developments in regulatory frameworks and implementation strategies. Ultimately, this article emphasizes the importance of a risk-based life cycle approach and the need for advancements in regulatory science to accommodate the dynamic nature of AI/ML technologies.","url":"https://doi.org/10.3390/ph18060901","authors":["Sarfaraz K. Niazi"],"tags":["Scrutiny","Good manufacturing practice","Risk analysis (engineering)","Regulatory science","Quality (philosophy)"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"https://doi.org/10.3390/ph18060901","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4401671113","name":"Modelling grain refinement under additive manufacturing solidification conditions using high performance cellular automata","source":"openalex","abstract":"Despite increasing applications of additively manufactured parts, they still suffer from anisotropic mechanical properties and can experience cracking due to coarse columnar grain structures induced by metal 3D printing. Microstructural control is promising avenue to overcome these challenges, but requires deeper understanding of factors controlling solidification, particularly regarding grain refinement. Addressing this gap, this study explores grain refinement in Al-Cu alloys with a process-microstructure linking cellular automata-finite difference (CAFD) approach supported by single-track laser surface remelting (LSR) experiments. To enhance the understanding of nucleation behaviour in alloys under additive manufacturing solidification conditions, this research analyses the influence of nucleation parameters on the post-LSR microstructures. Additionally, this study explores the computational dimensions of microstructure modelling, testing CA mesh sensitivity effects and benchmarking our CAFD models on two high-performance computing platforms. The CAFD model captures well the key microstructural features observed in LSR Al-Cu alloys with and without grain refiner addition. It is shown that the maximum nucleation density has a significant effect on the final microstructure, resulting in different proportions of coarse columnar grains resulting from epitaxial solidification, newly nucleated thin columnar grains, and equiaxed grains.","url":"https://doi.org/10.1016/j.matdes.2024.113248","authors":["O. Zinovieva","Aleksandr Zinoviev","Mitesh Patel","Andrey Molotnikov","Mark Easton"],"tags":["Materials science","Cellular automaton","Process engineering","Metallurgy","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-18","doi":"https://doi.org/10.1016/j.matdes.2024.113248","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411175951","name":"Health condition prediction method of the computer numerical control machine tool parts by ensembling digital twins and improved LSTM networks","source":"openalex","abstract":"Abstract The advent of digital twin technology has precipitated a surge of interest in its implementation within the manufacturing sector, particularly with respect to enhancing productivity and mitigating the risk of equipment failure. However, due to the incomplete maturity of the technology, the manufacturing industry is prone to failures and reduced production efficiency in the production process. To reduce the frequency of failure and improve production efficiency, the optimized digital twin technology is combined with the long and short-term memory network to predict the health condition of the improved computer numerical control (CNC) machine tool. The proposed model is predicated on a convolutional neural network and a long and short-term memory network, the purpose of which is to extract the feature data of CNC machine tool parts. Second, the attention mechanism is introduced to enhance the importance weight of the model to the time feature. Finally, the Kalman filtering is employed to denoise the data and generate the final prediction result. The experimental findings of the model demonstrated that the maximum error between the predicted and true value of the convolution-long short-term memory (LSTM) model in the machine tool part health monitoring data was 0.06, and the minimum error was 0.035. The convolution-LSTM model in the anomalous point inspection displacement of the amount of positive displacement did not exceed 25 mm, and the negative displacement did not exceed −23 mm. The Kalman wave-LSTM model demonstrated an accuracy of 90.5% in monitoring the health status of the part at the minimum. The results show that the proposed method has good fitting effect and high accuracy in different monitoring cycles. This research provides a new method for monitoring and predicting the health condition of parts of CNC machine tools, which has important practical significance for optimizing and improving the production efficiency of manufacturing industries.","url":"https://doi.org/10.1515/nleng-2025-0095","authors":["Guo Chen","Haifang Yin"],"tags":["Computer science","Artificial intelligence","Control (management)","Artificial neural network","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1515/nleng-2025-0095","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407220306","name":"Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development","source":"openalex","abstract":"The development of new glasses is often hampered by inefficient trial‐and‐error approaches. The traditional glass manufacturing process is not only time‐consuming, but also difficult to reproduce with inevitable variations in process parameters. These challenges are addressed by implementing an ontology‐based digital infrastructure coupled with a robotic melting system. This system facilitates high‐throughput glass synthesis and ensures the collection of consistent process data. In addition, the digital infrastructure includes machine learning models for predicting glass properties and a tool for extracting patent information. Current glass databases have significant gaps in the relationships between compositions, process parameters, and properties due to inconsistent studies and nonconforming units. In addition, process parameters are often omitted, and even original literature references provide limited information. By continuously expanding the database with consistent, high‐quality data, it is aimed to fill these gaps and accelerate the glass development process.","url":"https://doi.org/10.1002/adem.202401560","authors":["Ya‐Fan Chen","Felix Arendt","Hansjörg Bornhöft","Andréa Simone Stucchi de Camargo","Joachim Deubener","Andreas Diegeler","Shravya Gogula","Altair T. Contreras Jaimes","Sebastian Kempf","Martin Kilo","René Limbach","Ralf Müller","Rick Niebergall","Zhong Pan","Frank Puppe","Stefan Reinsch","G. Schottner","Simon Stier","Tina Waurischk","Lothar Wondraczek","Marek Sierka"],"tags":["Ontology","Materials science","Development (topology)","Systems engineering","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-06","doi":"https://doi.org/10.1002/adem.202401560","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4402910777","name":"Cobots in Smart Manufacturing and Production for Industry 5.0","source":"openalex","abstract":"Industry 5.0 has brought the dawn of advanced human-centric and customized applications. It offers a blend of cutting-edge technologies for the welfare of mankind. The incorporation of machine learning, cyber-physical systems, and automation is a perfect combination for building high-end applications for repeatable, sustainable, and customizable products or processes. It paves the way for future industries' both commercial and noncommercial applications and even personalized healthcare. Under the taboo, Cobots are collaborative robots working with humans to rigorously incorporate infrastructure for any application not only restricted to manufacturing. Imbibing the notion of machine learning and digital twins has proved to build lot of expectation around the technology. The cobot technology overcomes the major challenges of Industry 5.0 like work polarization and training workforce. The safety perspective is also incorporated by incorporation of universal standards. The threat of security attack can be thwarted using proper security measures. Thus, Industry 5.0 hand in hand with cobots can usher the growth of industries toward human welfare.","url":"https://doi.org/10.1002/9781394195336.ch9","authors":["Jeyalakshmi Jeyabalan","Eugene Berna","Prithi Samuel","Vikneswaran Vijean"],"tags":["Production (economics)","Manufacturing engineering","Industry 4.0","Manufacturing","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-27","doi":"https://doi.org/10.1002/9781394195336.ch9","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4408809231","name":"AI-Driven Predictive Analytics for Carbon Emission Reduction in Industrial Manufacturing: A Machine Learning Approach to Sustainable Production","source":"openalex","abstract":"Industrial manufacturing is a major contributor to global carbon emissions, necessitating innovative strategies to mitigate environmental impact while maintaining efficiency. AI-driven predictive analytics, particularly through machine learning (ML) techniques, offer a powerful solution for reducing emissions by enabling real-time monitoring, forecasting, and optimization of energy consumption and production processes. This explores the integration of AI-based predictive analytics into industrial manufacturing to enhance sustainability and support carbon reduction initiatives. Key machine learning approaches, including supervised learning for emission forecasting, unsupervised learning for pattern recognition, and deep learning models such as neural networks and reinforcement learning, are examined for their effectiveness in carbon management. Data collection from IoT-enabled sensors, industrial energy reports, and environmental monitoring databases is crucial for training AI models, while data preprocessing techniques help enhance accuracy by handling missing values and inconsistencies. AI-driven optimization strategies are discussed, including real-time anomaly detection, predictive maintenance, and process improvements that minimize emissions. The also highlights real-world applications in industries such as steel, cement, and energy-intensive manufacturing, where AI-driven insights have led to measurable reductions in carbon footprints. Despite these advancements, challenges remain, including high implementation costs, data security concerns, integration with legacy systems, and regulatory constraints. Future opportunities for AI-driven carbon emission reduction include blockchain integration for transparent carbon reporting, edge computing for decentralized monitoring, and cross-disciplinary collaborations for enhanced sustainability. This study emphasizes the critical role of AI in driving sustainable industrial practices and underscores the need for further research, policy support, and industry collaboration to maximize the potential of AI-driven predictive analytics in achieving long-term carbon neutrality.","url":"https://doi.org/10.54660/.ijmrge.2023.4.1.948-960","authors":["Jessica Obianuju Ojadi","Ekene Cynthia Onukwulu","Chinekwu Somtochukwu Odionu","Olumide Akindele Owulade"],"tags":["Reduction (mathematics)","Production (economics)","Predictive analytics","Analytics","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.54660/.ijmrge.2023.4.1.948-960","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4404853781","name":"Circularity and Digitalisation in German Textile Manufacturing: Towards a Blueprint for Strategy Development and Implementation","source":"openalex","abstract":"Textile and clothing (T&C) production and consumption have been steadily increasing for many years, accompanied by significant resource consumption, waste generation, and environmental impact. Germany holds a pivotal position in the industry, both within the EU and globally, as a leading producer, importer, and exporter of T&C. The circular economy (CE) concept has emerged as a promising solution to address the industry’s negative impacts by emphasising the reduction, reuse, and recycling of resources across the value chain. Digital technologies (DTs) are increasingly recognised as key enablers and facilitators of this transition, promoting both efficiency and circularity in manufacturing processes. However, the extent to which these are implemented in the German T&C industry remains largely underexplored. This study seeks to investigate the role of DTs in advancing CE practices within German T&C manufacturing. Employing process mapping and technology profiling, this research adopts an inductive, qualitative approach based on primary interview data to explore three key areas: (1) current CE practices, (2) the deployment of supportive DTs, and (3) the challenges in implementing the CE and DTs. The findings reveal that CE adoption is set to accelerate among T&C manufacturers, driven by regulatory compliance and market pressures, with DTs playing a critical role in enabling this transition. This study proposes a new operational framework designed to facilitate the shift towards a more circular textile sector, aligning with the ambitious goals of the European Union and broader environmental and societal objectives.","url":"https://doi.org/10.3390/pr12122697","authors":["Tina Wiegand","Martín Wynn"],"tags":["Blueprint","German","Textile","Business","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-29","doi":"https://doi.org/10.3390/pr12122697","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4404789880","name":"Generative AI in Manufacturing Systems: Reference Framework and Use Cases","source":"openalex","abstract":"This paper aims to enhance the competitive edge of manufacturers through increased efficiency, propelled by digitalization and the implementation of artificial intelligence (AI) applications. A key focus is on Generative AI, a growing topic of discussion in the AI domain. However, a common definition for Generative AI within the context of manufacturing systems is lacking. This paper seeks to establish a clear definition for Generative AI in manufacturing systems, and subsequently structures potential application fields and objectives within a GenAI reference framework. In this context, a framework is proposed to characterize use cases within manufacturing systems, providing crucial guidance for manufacturers looking to leverage Generative AI. The theoretical background explores the definition of manufacturing systems and the intersection between data analytics and AI. Furthermore, the paper discusses varying definitions of Generative AI, and derives a definition suitable for manufacturing systems.","url":"https://doi.org/10.1016/j.procir.2024.10.082","authors":["Marc-André Filz","Sebastian Thiede"],"tags":["Generative grammar","Computer science","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1016/j.procir.2024.10.082","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4407450075","name":"Modeling and Digital Twins: Insights and Strategies for Software Engineers","source":"openalex","abstract":"Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/IEEE 27th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2024) and the 1st International Conference on Engineering Digital Twins (EDTconf 2024). The selected papers tackle critical challenges in improving system understanding, enhancing stakeholder communication, streamlining design and development processes, optimizing lifecycles, and enabling seamless integration of complex systems.","url":"https://doi.org/10.1109/ms.2024.3510892","authors":["Silvia Abrahão","Miroslaw Staron","Judith Michael","Benoît Combemale","Marsha Chećhik"],"tags":["Software engineering","Computer science","Social software engineering","Software development","Software construction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-13","doi":"https://doi.org/10.1109/ms.2024.3510892","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4408800327","name":"Transforming Manufacturing: A Comprehensive Analysis of Industry 4.0 Technologies, Industry 5.0 Perspectives, and Future Research Directions","source":"openalex","abstract":"Today's manufacturing sector undergoes essential changes due to emerging technologies and sustainability-focused practices alongside innovative operational methods. Industries worldwide are undergoing a substantial revolution as they adopt Industry 4.0 principles which involve extensive digitization and the implementation of artificial intelligence (AI). Traditional production methods are experiencing substantial transformations as Industry 4.0 principles and advanced technologies become integrated to increase industrial efficiency. According to Nathany (2024), global manufacturing output could achieve up to 25% growth through the adoption of Industry 5.0 technologies which also promises major operational cost savings. This research investigates the central elements of Industry 4.0 which consist of additive manufacturing, big data analytics, digital twins, artificial intelligence and machine learning, the Internet of Things (IoT), cloud computing, augmented and virtual reality along with blockchain technology. This study analyzes the applications of these technologies as well as their benefits and how they affect manufacturing processes. The research focuses on the ways that these technologies boost efficiency while improving sustainability and competitiveness in manufacturing. Manufacturing has experienced a revolutionary transformation through the integration of artificial intelligence and IoT which enables advanced defect detection capabilities as well as predictive maintenance and real-time monitoring. The method boosts human-machine teamwork alongside operational effectiveness and quality assurance while supporting personalized manufacturing and enhanced environmental sustainability (Nathany, 2024). This paper examines how sustainability and decarbonization will become essential factors in manufacturing's future path. Reducing environmental impact alongside optimizing resource use represents critical elements of the manufacturing industry’s transition. Additive manufacturing stands at the forefront of manufacturing evolution due to its infinite design capabilities and its efficient use of materials. Additive manufacturing generates substantial economic and environmental benefits through waste reduction and production customization. The research investigates the application of big data analytics for predictive maintenance and real-time monitoring and explains how these technologies increase production efficiency while minimizing breakdowns and unscheduled downtime. Big data analytics applications result in a 25% decrease in breakdowns and unscheduled downtime within manufacturing sectors as shown by Wang & Wang (2017). The study investigates how digital twins function as virtual models of physical assets to reveal their transformative capabilities. Real-time data analytics enable digital twins to optimize performance while predicting issues and detecting problems which then lead to substantial cost savings and enhanced planning efficiency and productivity. The advancement of digital twin technology reflects ongoing enhancements in product design and industrial manufacturing operations. Research shows digital twins can achieve 30% savings in costs while also reducing planning time by 20% and achieving 8% productivity enhancements (Kim, 2017). The discussion covers how cloud computing delivers essential computational power to support AI applications. Cloud technologies enable seamless data sharing between systems while providing adaptable solutions and support for manufacturing services that operate on demand. This research looks at how augmented and virtual reality systems can help manufacturing become more efficient by improving operational procedures and training programs through simulation-based methods. The research considers how blockchain technology supports sustainable operations while ensuring secure and transparent manufacturing networks.The study concludes by proposing future research pathways in Industry 4.0 doma","url":"https://doi.org/10.54660/.ijmrge.2025.6.1.2143-2147","authors":["Deepika Nathany"],"tags":["Industry 4.0","Manufacturing","Business","Engineering","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.54660/.ijmrge.2025.6.1.2143-2147","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4412450443","name":"Machine Learning for Industrial Optimization and Predictive Control: A Patent-Based Perspective with a Focus on Taiwan’s High-Tech Manufacturing","source":"openalex","abstract":"The global trend toward Industry 4.0 has intensified the demand for intelligent, adaptive, and energy-efficient manufacturing systems. Machine learning (ML) has emerged as a crucial enabler of this transformation, particularly in high-mix, high-precision environments. This review examines the integration of machine learning techniques, such as convolutional neural networks (CNNs), reinforcement learning (RL), and federated learning (FL), within Taiwan’s advanced manufacturing sectors, including semiconductor fabrication, smart assembly, and industrial energy optimization. The present study draws on patent data and industrial case studies from leading firms, such as TSMC, Foxconn, and Delta Electronics, to trace the evolution from classical optimization to hybrid, data-driven frameworks. A critical analysis of key challenges is provided, including data heterogeneity, limited model interpretability, and integration with legacy systems. A comprehensive framework is proposed to address these issues, incorporating data-centric learning, explainable artificial intelligence (XAI), and cyber–physical architectures. These components align with industrial standards, including the Reference Architecture Model Industrie 4.0 (RAMI 4.0) and the Industrial Internet Reference Architecture (IIRA). The paper concludes by outlining prospective research directions, with a focus on cross-factory learning, causal inference, and scalable industrial AI deployment. This work provides an in-depth examination of the potential of machine learning to transform manufacturing into a more transparent, resilient, and responsive ecosystem. Additionally, this review highlights Taiwan’s distinctive position in the global high-tech manufacturing landscape and provides an in-depth analysis of patent trends from 2015 to 2025. Notably, this study adopts a patent-centered perspective to capture practical innovation trends and technological maturity specific to Taiwan’s globally competitive high-tech sector.","url":"https://doi.org/10.3390/pr13072256","authors":["Chien-Chih Wang","Chun-Hua Chien"],"tags":["Perspective (graphical)","High tech","Focus (optics)","Control (management)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-15","doi":"https://doi.org/10.3390/pr13072256","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4411962499","name":"Sustainable in-space manufacturing by upcycling metal space debris via a vertically integrated processing paradigm","source":"openalex","abstract":"This study presents a novel approach to upcycling metallic space debris into functional components. This is the first work to investigate the feasibility of using additive friction stir deposition (AFSD), a solid-state additive manufacturing (SSAM) technique, for in-space upcycling of space debris made into feedstock using continuous casting. In upcycling applications, AFSD combines the advantages of additive manufacturing of hard-to-weld metals and post-processing to produce near-net shape components. Simulated space debris, composed of AA6061, was fabricated into rods using continuous casting to create feedstock for twin rod AFSD (TR-AFSD). The resulting TR-AFSD deposit showed a reduction of many of the casting defects inherent in the feedstock material and exhibited a microstructure corresponding to improved material properties. These findings highlight the potential of AFSD for upcycling space debris through microstructure refinement and homogenization, enabling in-situ fabrication of high-performance components for sustainable space exploration.","url":"https://doi.org/10.1038/s44334-025-00042-z","authors":["Charlye R. Baker","Ning Zhu","Pruthul Kokkada Ravindranath","Joseph W. Pawelski","Cole L. Ritter","Rachel Swinney","Walter “Sparky” Matthews","Trevor J. Fleck","J.B. Jordon","Paul Allison"],"tags":["Space (punctuation)","Space debris","Debris","Materials science","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-02","doi":"https://doi.org/10.1038/s44334-025-00042-z","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4406666228","name":"Unlocking the Potential of Predictive Maintenance for Intelligent Manufacturing: a Case Study On Potentials, Barriers, and Critical Success Factors","source":"openalex","abstract":"Abstract Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting the remaining lifetime of maintenance objects. Thus, unnecessary replacements of spare parts and critical process disturbances due to breakdowns can be avoided. Despite the widely recognized advantages of this technology, the number of successful applications in practice is still very limited. Our study aims to address the theory-practice gap by conducting a comprehensive case study involving 15 expert interviews with industry professionals to uncover critical factors that hinder the successful implementation of PdM. Our findings shed light on the underlying reasons for a hesitant PdM implementation, including challenges related to digital readiness, data quality and accessibility, technological integration, and maintenance organization. By providing an in-depth analysis of these factors, our study offers valuable insights and guidelines to improve the implementation success rate of PdM in the industrial context. Based on the empirical findings, we present critical implementation factors and develop a framework with ten propositions that aim to dismantle barriers in the industrial application process of PdM and stimulate further research in academia.","url":"https://doi.org/10.1007/s41471-024-00204-3","authors":["Marcel Hoffmann","Rainer Lasch"],"tags":["Predictive maintenance","Risk analysis (engineering)","Business","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-21","doi":"https://doi.org/10.1007/s41471-024-00204-3","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409819441","name":"A Machine Learning and Digital Twin-Based Assistance System for Computer Science Students' Career Prediction and Activity Recognition","source":"openalex","abstract":"The advancement of digital twin (DT), machine learning (ML), and deep learning (DL) technology has created new opportunities for students' activity recognition and career guidance in the educational sector. DT and ML technology can be used to update and monitor students' performance in various courses as well as daily life activity data. Existing research on student activity recognition and career suggestions did not create a dataset that included static, location, accelerometer, and academic data. They did not use DT technology for student performance monitoring. The existing ML-based works should have investigated various academic course data and job descriptions for the student's career recommendation with high accuracy. To deal with these issues, this paper creates an ML, DL, and DT-based assistance system for career recommendation and activity recognition based on student personal activity data and academic course results. Several ML and DL models were tested for career suggestion prediction, and logistic regression achieved the highest accuracy of 98%. The results exhibit that the convolutional neural network (CNN)-based DL model achieves the highest 96% accuracy for the student's daily activity recognition system. According to the performance comparison results, the proposed logistic regression-based career suggestion prediction system outperforms the existing works by at least 4% in accuracy and 7% in precision. The results also show that the proposed CNN-based activity recognition system achieves at least 5% higher accuracy and 3% higher precision values than previous works. Received: 30 October 2024 | Revised: 19 December 2024 | Accepted: 22 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The data that support this work are available upon reasonable request from the corresponding author. Author Contribution Statement Tabassum Ferdous: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Visualization, Project administration. Mahfuzulhoq Chowdhury: Conceptualization, Methodology, Writing – original draft, Writing – review & editing, Supervision, Project administration.","url":"https://doi.org/10.47852/bonviewfsi52024688","authors":["Tabassum Ferdous","Mahfuzulhoq Chowdhury"],"tags":["Computer science","Science learning","Mathematics education","Human–computer interaction","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-18","doi":"https://doi.org/10.47852/bonviewfsi52024688","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4404932606","name":"Deep Drawability of Al-Mg Alloys Produced by Twin Roll Continuous Casting Method: Investigation of Microstructure and Mechanical Properties","source":"openalex","abstract":"This study explores the development of Al-Mg alloy sheets manufactured through the Twin Roll Continuous Casting (TRC) technique, with the goal of enhancing their mechanical properties via thermomechanical processing. TRC is a cost-effective and efficient method for producing thin sheets directly from molten metal, and this work focuses on the deep drawability of AA5182, AA5754, and AA5052 alloys, widely used in automotive, packaging, and aerospace applications. Improving deep drawability is crucial for meeting the stringent requirements of these industries. The alloys were designed according to EN 573-3 standards, and sheet castings were carried out at both laboratory and industrial scales. Microstructure evolution was analyzed at the as-cast and final thicknesses using optical microscopy. The sheets underwent cold rolling to a thickness of 1 mm, followed by final annealing, and their mechanical properties—including yield strength, tensile strength, elongation, and anisotropy—were evaluated. The deep drawability of the sheets was assessed using Erichsen cupping tests and earing mechanisms. To further understand failure mechanisms, fracture surface morphologies were examined using scanning electron microscopy (SEM), while energy-dispersive X-ray spectroscopy (EDS) was performed to analyze inclusions on fractured surfaces. The findings highlight the effectiveness of the TRC technique in producing high-performance Al-Mg sheets with mechanical properties comparable to or exceeding those of conventionally processed sheets. This study provides valuable insights into the optimization of alloy design and manufacturing methods, laying the groundwork for future advancements in TRC technology.","url":"https://doi.org/10.3390/met14121365","authors":["Koray Dündar","Ekrem Altuncu","Onur Birbaşar"],"tags":["Microstructure","Materials science","Metallurgy","Continuous casting","Casting"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-29","doi":"https://doi.org/10.3390/met14121365","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4391385256","name":"Use of Artificial Intelligence in Design, Development, Additive Manufacturing, and Certification of Multifunctional Composites for Aircraft, Drones, and Spacecraft","source":"openalex","abstract":"Multifunctional composites provide more than one function from the same part. The anisotropy, material, and process characterization challenges and the lack of standardization on the 3D-printed multifunctional carbon composites make it difficult for application into aerospace. The current solutions for additive manufacturing (AM) technologies and additively manufactured monofunctional and multifunctional composites are not mature enough for safety-critical applications. A new approach is proposed to explore the use of machine learning (ML) in the design, development, AM, testing, and certification of multifunctional composites for aircraft, unmanned aircraft systems (UAS), and spacecraft. In this work, an artificial neural network (ANN) architecture is proposed. An AM-embedded building block approach integrates the complete lifecycle of aircraft, UAS, and spacecraft using ANN to support the continued operational safety (COS) of aircraft, spacecraft, and UAS. The proposed method exploits the power of ANN on the metadata for the characterization of multifunctional material properties and processes and the mapping of the failure modes compared with the predicted models and history. This paper provides an in-depth analysis and explanation of the new methods needed to overcome the existing barriers, problems, and situations.","url":"https://doi.org/10.3390/app14031187","authors":["Ritesh Ghimire","Asokan Raji"],"tags":["Drone","Certification","Spacecraft","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-31","doi":"https://doi.org/10.3390/app14031187","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4414343593","name":"Transforming B2B platforms through interconnected digital twins: Enhancing situation awareness for decision-making","source":"openalex","abstract":"Business-to-business (B2B) platforms hold transformative potential for manufacturing by enabling firms to collaborate, share data, and coordinate decisions across interconnected cyber-physical networks. However, many firms struggle to fully leverage these platforms due to bounded rationality, as decision-makers face difficulties in processing fragmented, heterogeneous, and real-time data streams. Interconnected Digital Twins (IDTs) offer a promising technological response to this challenge. By integrating data from multiple sources and simulating dynamic manufacturing processes across organizational boundaries, IDTs create shared, real-time representations of operations that support decision-making in complex B2B ecosystems. Grounded in Endsley's Situation Awareness Theory, this study examines how IDTs support perception, comprehension, and projection in cross-organizational decision-making. We conducted an exploratory qualitative case study of a leading automotive manufacturer, drawing on ethnographic access to its IDT implementation. Our findings show that IDTs enhance situation awareness and support cross-organizational decision-making by consolidating fragmented data and reducing cognitive overload through simulation. The study contributes to B2B platform ecosystem research by identifying IDTs as a technological enabler of digital transformation and demonstrating their role in enhancing situation awareness in industrial ecosystems. • IDTs are a key B2B platform innovation for digital transformation in manufacturing. • IDTs enhance situation awareness at a digital scale on B2B platforms. • IDTs reduce cognitive overload across B2B platform ecosystems. • IDTs enable shared situation awareness across organizational boundaries. • IDTs reposition B2B platforms as intelligence-enhancing decision support systems.","url":"https://doi.org/10.1016/j.technovation.2025.103368","authors":["Alexander Schink","Tobias Gutmann","Sebastian Brenk"],"tags":["Digital transformation","Enabling","Leverage (statistics)","Situation awareness","Transformative learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-18","doi":"https://doi.org/10.1016/j.technovation.2025.103368","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4409705390","name":"Mechanisms of Supply Chain Digitalization in Advancing High-Quality Development in Manufacturing Firms","source":"openalex","abstract":"Supply chain digitalization (SCD) has been recognized as a critical enabler of high-quality development in the manufacturing sector.To explore its influence mechanisms, an SCD indicator was constructed through textual analysis of corporate disclosures by Chinese manufacturing firms listed on the Shanghai and Shenzhen A-share markets from 2008 to 2022.Based on the theoretical lens of supply chain integration, the impact of SCD on high-quality development was empirically examined.The findings indicate that SCD significantly promotes high-quality development across manufacturing firms.Further analysis revealed that this relationship is positively mediated by two core mechanisms: supply chain collaborative innovation and the advancement of supply chain finance (SCF).These mediating effects were found to be strengthened under conditions of heightened environmental dynamism, underscoring the adaptive value of digital supply chain capabilities in volatile contexts.Heterogeneity analysis demonstrated that the positive effects of SCD are more pronounced in non-state-owned enterprises, firms in growth or decline stages, and those characterized by low levels of resource slack.Additionally, the long-term economic consequences of SCD were evaluated, and it was observed that enhanced digitalization contributes to the stable growth of firms' long-term value by reinforcing their high-quality development trajectories.By clarifying the pathways through which SCD influences development outcomes, this study offers empirical evidence that enriches the existing body of literature on digital transformation within supply chains.Moreover, practical implications are provided for policy formulation and strategic decision-making aimed at fostering digitally integrated, innovation-driven, and financially resilient manufacturing ecosystems.","url":"https://doi.org/10.56578/josa030104","authors":["Haohua Liu","Z. Yu"],"tags":["Supply chain","Business","Quality (philosophy)","Industrial organization","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-31","doi":"https://doi.org/10.56578/josa030104","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4391360623","name":"Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends","source":"openalex","abstract":"Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent robotics, addressing key research questions, identifying challenges and opportunities, and proposing the best practices for responsible and beneficial integration into various sectors. Our research uncovers the significant improvements brought by intelligent robotics across industries such as manufacturing, logistics, tourism, agriculture, healthcare, and construction. The main results indicate the importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, and addressing industry-specific challenges to harness the opportunities presented by intelligent robotics fully. The implications and future directions of intelligent robotics involve addressing both challenges and potential risks, maximizing benefits, and ensuring responsible implementation. The continuous improvement and refinement of existing technology will shape human life and industries, driving innovation and advancements in intelligent robotics.","url":"https://doi.org/10.3390/electronics13030542","authors":["Josip Tomo Licardo","Mihael Domjan","Tihomir Orehovački"],"tags":["Robotics","Artificial intelligence","Engineering management","Robot","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-29","doi":"https://doi.org/10.3390/electronics13030542","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4405108974","name":"Driving Green Innovation Through Digital Transformation: Empirical Insights on Regional Variations","source":"openalex","abstract":"This research examines the impact of digital transformation on green innovation across different regions in China, using data from the Shanghai and Shenzhen stock markets from 2007 to 2022. The study reveals that digital transformation significantly enhances green innovation in enterprises, with notable regional disparities. The effects are most pronounced in the economically advanced eastern coastal areas, followed by central regions, while the western regions lag behind. This spatial pattern underscores the importance of tailored policies and strategies to address specific regional barriers and opportunities. Integrating digital technologies such as AI and big data has empowered companies to enhance their innovation activities, particularly in energy efficiency, pollution mitigation, and eco-friendly manufacturing. However, challenges such as lack of motivation for innovation and inadequate greener technologies persist, necessitating new strategies to revive eco-friendly innovations. This research provides valuable insights for policymakers, highlighting the need for regional cooperation, knowledge sharing, and technology transfer to promote sustainable economic development. By leveraging digital transformation, regions can improve their green innovation capabilities, contributing to the broader goals of China’s “dual carbon” initiative and sustainable development. This study emphasizes the critical role of digital technologies in driving green innovation and calls for comprehensive strategies to enhance digital infrastructure, digital literacy, and environmental consciousness across all regions of China.","url":"https://doi.org/10.3390/su162310716","authors":["Chao Yang","Qi Liu"],"tags":["Business","Sustainable development","Digital transformation","China","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-06","doi":"https://doi.org/10.3390/su162310716","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4406899125","name":"Multi-objective optimization for layout planning of matrix manufacturing system","source":"openalex","abstract":"Abstract The automotive industry is experiencing rapid changes due to the rise of the Industry 4.0 manufacturing paradigm, which requires strategic implementation of advanced manufacturing systems to meet diverse customer needs. The Matrix Manufacturing System, characterized by modular facilities and autonomous mobile robots, offers greater flexibility compared to traditional dedicated production systems. This paper conducts a multi-objective optimization of facility layout planning within the matrix manufacturing system to enhance efficiency and responsiveness to market volatility. To solve the optimization problem, three heuristic algorithms—Simulated Annealing, Particle Swarm Optimization, and Non-dominated Sorting Genetic Algorithm-II are employed and their performance is compared. For the comparative analysis, frequency maps are used, visualizing the optimization processes and outcomes between metaheuristic algorithms. The framework with methodologies presented in this report is expected to improve productivity and flexibility of a matrix manufacturing system in the automotive industry.","url":"https://doi.org/10.1007/s40684-025-00696-2","authors":["J.S. Park","Chang‐Ha Lee","Seog‐Chan Oh","Sang Do Noh"],"tags":["Matrix (chemical analysis)","Computer science","Manufacturing engineering","Mathematical optimization","Industrial engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-28","doi":"https://doi.org/10.1007/s40684-025-00696-2","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4414596944","name":"Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing","source":"openalex","abstract":"Real-time long-horizon temperature prediction in wire arc additive manufacturing is critical for process control and quality assurance. However, finite element methods are computationally expensive, and the existing data-driven models suffer from error accumulation and poor adaptability. Here we propose a physics-informed geometric recurrent neural network that integrates geometric characteristics and physical constraints, captures spatiotemporal characteristics via convolutional long short-term memory cells, and enforces physical consistency through hard-encoding initial/boundary conditions and physics-informed loss function. The model can predict the temperature field for future 1.25 s based on current 1.25 s data, and has also been evaluated for more long-horizon predictions. Transfer learning was used to enhance the model’s efficiency in practical applications. Results demonstrate that the proposed model achieves 4.5−13.9% maximum prediction error in simulations and experimental data. Including geometric characteristics and physical information reduces maximum error by about 1%, while the integrated model lowers it by 4%. Furthermore, transfer learning reduces the training time by approximately 50% while achieving the same loss level. Real-time long-horizon temperature prediction in metal additive manufacturing is critical for process control and quality assurance. Mingxuan Tian and colleagues propose a physics-informed machine learning model to predict temperature field for future 1.25 s.","url":"https://doi.org/10.1038/s44172-025-00501-7","authors":["Mingxuan Tian","Haochen Mu","Tao Liu","Mengjiao Li","Donghong Ding","Jianping Zhao"],"tags":["Artificial neural network","Consistency (knowledge bases)","Process (computing)","Convolutional neural network","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.1038/s44172-025-00501-7","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4206401966","name":"Industrial Revolution 5.0 and the Role of Cutting Edge Technologies","source":"openalex","abstract":"IR 4.0 emphasizes the interconnection of machines and systems to achieve optimal performance and productivity gains. IR 5.0 is said to take it a step further by fine-tuning the human-machine connection. IR 5.0 is more collaboration between the two: automated technology's ultra-fast accuracy combines with a human's intelligence and creativity. The driving force behind IR 5.0 is customer demand for customization and personalization, necessitating a greater human involvement in the production process. As IR 5.0 evolves, we may expect to see a slew of breakthroughs across various industries. However, just automating jobs or digitizing processes will not be enough; the finest and most successful businesses will be those that can combine the dual powers of technology and human ingenuity. IR 5.0 focuses on the use of modern cutting-edge technologies, namely, AI, IoT, big data, cloud computing, Blockchain, Digital twins, edge computing, collaborative robots, and 6G along with leveraging human creativity and intelligence. Wherever possible, IR 5.0 will change industrial processes worldwide by removing mundane, filthy, and repetitive activities from human workers. Intelligent robotics and systems will have unparalleled access to industrial supply networks and production floors. However, to understand and leverage the benefits of IR 5.0 better, there is a need to understand the role of modern CET in industrial revolution 5.0. To fill this gap, this article will examine IR 5.0 prospective, uses, supporting technologies, opportunities, and issues involved that need to be understood for leveraging the potentials of IR 5.0.","url":"https://doi.org/10.14569/ijacsa.2021.0121276","authors":["Mamoona Humayun"],"tags":["Computer science","Creativity","Robot","Personalization","Leverage (statistics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-01-01","doi":"https://doi.org/10.14569/ijacsa.2021.0121276","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4405441085","name":"Dynamic scheduling for manufacturing workshops using Digital Twins, Competitive Particle Swarm Optimization, and Siamese Neural Networks","source":"openalex","abstract":"Flexible manufacturing workshops often encounter scheduling challenges due to complex processes and cumbersome procedures. To address these issues, a dynamic scheduling method is proposed. Initially, a discrete manufacturing workshop scheduling problem model is developed, considering the unique characteristics of the workshop. Digital Twin technology and a Competitive Particle Swarm Optimization algorithm are then integrated to create the scheduling model. Finally, Siamese Neural Networks are incorporated to form a dynamic scheduling mechanism that optimizes disturbance scheduling. The research model demonstrated a quick convergence, efficiently searching for the optimal fitness value using both the Sphere and Griewank functions. In the scheduling objective function test, the model achieved a maximum completion time of 244.8 minutes, the shortest time compared to similar technologies. In Siamese Neural Network experiments, the model successfully suppressed the influence of disturbances, maintaining optimal scheduling performance. Without adjustments for disturbances, the maximum completion time was 58.5 minutes. After optimization, it decreased to 54.2 minutes. These results demonstrate the effective application of the proposed technology in workshop scheduling. The findings provide valuable technical insights for the application of intelligent technologies in workshop scheduling optimization.","url":"https://doi.org/10.14743/apem2024.3.508","authors":["Liguo Weng"],"tags":["Particle swarm optimization","Artificial neural network","Scheduling (production processes)","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-31","doi":"https://doi.org/10.14743/apem2024.3.508","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4393991107","name":"Breaking Down the Barriers between the Digital and the Real: Mixed Reality Applied to Battery Manufacturing R&D and Training","source":"openalex","abstract":"Abstract In a scenario in which the manufacturing of high‐performance, safe batteries on an unprecedented large scale is crucial for the energy transition and fight against climate change, research laboratories and cell production industries are facing challenges due to the lack of efficient data management and training tools. In this context, the use of intelligent devices plays an important role on the path towards the optimization of the manufacturing process and the enhancement of the battery performance while reducing production costs. In this Concept, we present an innovative Mixed Reality tool for efficient data collection and training in real‐time in battery research laboratories and battery manufacturing pilot lines, which runs on Microsoft HoloLens 2 glasses. We report a deep analysis on its ergonomic and usability aspects, and describe how we solved the problems found during its development. Thanks to this tool, users can collect data while keeping their hands free and receive advice in real time to design and build batteries with tailored properties. This optimizes data management in battery manufacturing environments. Now, thanks to our Mixed Reality application, users can collect data in the place of work, save this data automatically on a server and exploit it to receive advice and feedback to support their decision‐making and learning of the manufacturing process.","url":"https://doi.org/10.1002/batt.202400042","authors":["Lucie Denisart","Javier F. Troncoso","Émilie Loup‐Escande","Alejandro A. Franco"],"tags":["Battery (electricity)","Context (archaeology)","Usability","Exploit","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-05","doi":"https://doi.org/10.1002/batt.202400042","addedAt":"2026-09-01T01:47:45.000Z","updatedAt":"2026-09-01T01:47:45.000Z"},{"id":"oa:W4395022060","name":"Intelligent Engines: Revolutionizing Manufacturing and Supply Chains with AI","source":"openalex","abstract":"Artificial intelligence (AI) technologies are becoming a reality, with intelligent engines that can learn and simulate human thinking. These engines have three key features: micro-level intelligence with sensors, logic-based intelligence with software tools, and the ability to adapt and learn using algorithms. AI reduces the need for human intervention and cognitive thinking, finding more efficient solutions to complex problems in manufacturing and supply chain industries. AI simulates human cognition using software tools, allowing for the automation of tasks and analysis of complex systems. However, it raises questions about whether problems can be solved differently and the limitations of explicit algorithms.","url":"https://doi.org/10.38124/ijisrt/ijisrt24apr1221","authors":["Vishwanadham Mandala","Manogna Dolu Surabhi"],"tags":["Supply chain","Business","Manufacturing engineering","Commerce","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-22","doi":"https://doi.org/10.38124/ijisrt/ijisrt24apr1221","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4410369686","name":"Strategic Framework for Additive Manufacturing with Smart Polymer Composites: A Pathway to Net-Zero Manufacturing","source":"openalex","abstract":"Despite manufacturing firms recognizing the potential benefits of polymer-based smart materials (PBSM) in additive manufacturing (AM), their large-scale integration remains limited. As manufacturing firms strive toward net-zero emissions (NZE) and sustainable manufacturing, integrating PBSM into AM could be pivotal for manufacturing firms striving to achieve NZE and more sustainable production. In this regard, this study uses a mixed-method approach: a systematic literature review (SLR) to address the current trends and critical challenges associated with the \"development, processing, and scalability\" of PBSM adoption for AM. Further, the study analyzes 100 responses from Indian manufacturing firms, employing exploratory factor analysis (EFA) to develop a framework. This framework is further validated by determining the priority order of challenges using the Combined Compromise Solution (CoCoSo) through a case study. The outcome highlights that end-of-life management and lack of standardization are the most critical challenges for manufacturing firms, restricting the adoption of PBSM for AM. This research provides valuable insights for industry professionals and academia, guiding a strategic roadmap toward net-zero manufacturing. With this transformation, industries can align with global net-zero targets and contribute to India's net-zero economy (NZE) goal by 2070.","url":"https://doi.org/10.3390/polym17101336","authors":["Alok Yadav","Rajiv Kumar Garg","Anish Sachdeva","Karishma M. Qureshi","M.N. Qureshi"],"tags":["Materials science","Composite material","Net (polyhedron)","Zero (linguistics)","Polymer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-14","doi":"https://doi.org/10.3390/polym17101336","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4403156623","name":"From process to property: multi-physics modeling of dislocation dynamics and microscale damage in metal additive manufacturing","source":"openalex","abstract":"Abstract Metal additive manufacturing (AM) has the potential to tailor the mechanical performance of materials. Due to the complex thermal history and unique microstructure, AM materials are reported to contain distinct dislocation networks with a high dislocation density, which affect the plastic deformation behavior and fracture. However, it is challenging to experimentally observe the formation of such dislocation structures. In this work, a multi-scale multi-physics crystal plasticity modeling framework that integrates the process-structure-property relationship in metal AM is developed. The temperature field obtained from thermal-fluid flow simulations of the AM process and the microstructure from the phase field model of grain growth are combined into thermo-mechanical crystal plasticity simulations to obtain grain-scale thermal stresses. These stresses are used as input to simulate the evolution of dislocation structures within individual grains. Taking AM 316L stainless steel as the material of interest, the effect of initial dislocation configuration on the slip plane and cross-slip mechanism on the dislocation structure formation are investigated. Furthermore, a phase field damage model is implemented to study the initiation of microscale damage and their relationship with dislocation structures, which is a main novelty of this work. This modeling framework provides comprehensive simulations of all aspects of metal AM and offers insights into the dislocation mechanisms and damage formation at microscale in AM materials, which could be used to guide the manipulation of the mechanical properties of AM materials.","url":"https://doi.org/10.1007/s00466-024-02560-7","authors":["Daijun Hu","Nicolò Grilli","Wentao Yan"],"tags":["Microscale chemistry","Dislocation","Property (philosophy)","Process (computing)","Computational Science and Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-05","doi":"https://doi.org/10.1007/s00466-024-02560-7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7124850969","name":"Advances, challenges and prospective research when geographical information science meets digital twin","source":"openalex","abstract":"Digital twins, originating from industrial engineering, demonstrate considerable potential in the field of Geographical Information Science (GIS) in recent years, nevertheless, the absence of a unified research paradigm leads to significant disparities in geographical twinning frameworks, twinning technologies of geographical objects, data models of twinning objects, and visualisation in twin space as well. These discrepancies have hindered the development of geospatial digital twins. To address this issue, this study carries out a comprehensive review of 154 articles related to digital twins and GIS, published between 2019 and 2024, and describes their advances, potential challenges and future directions. The key insights are: 1) Spatiotemporal data models possess limited capacity for managing the virtual–real alignment of all geographical entities; therefore, an integrated and intelligent data model is required to replicate all geographical entities and realise virtual–real interactions within geospatial digital twins; 2) Twinning technologies that fail to consider dynamic behaviours constrain geographical scenario simulations; consequently, a geographical process twinning technology is expected to become a prominent research; 3) A collaborative visualisation scheme offers an optimal solution for addressing multimodal data, multi-user operations, and scenario simulations; 4) An integration strategy combining geospatial twin frameworks with geospatial artificial intelligence (GeoAI) models will become another prospective research. These findings contribute to understand the foundational theories and key technologies of geospatial digital twins, further promote its development.","url":"https://doi.org/10.1080/27525783.2025.2610851","authors":["Cunjin XUE Cunjin XUE","L. C. Li","Jian Liu","Fenzhen Su","Wenzhou Wu","Ziyue Ma","Zheng Xiang","Shiyu Wu","Qunce Qin"],"tags":["Data science","Computer science","Information system","Field (mathematics)","Public relations"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-20","doi":"https://doi.org/10.1080/27525783.2025.2610851","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415502865","name":"Industry 5.0 Digital DNA: A Genetic Code of Human-Centric Smart Manufacturing","source":"openalex","abstract":"This study proposes and empirically assesses a bio-inspired conceptual framework, termed Digital DNA, for modeling Industry 5.0 transformation as a complementary extension of established Industry 4.0 principles with an explicit focus on human-centricity, sustainability, and resilience. Rather than positing a new industrial revolution, our positioning follows the European Commission’s view that Industry 5.0 complements Industry 4.0 by emphasizing stakeholder value and human-technology symbiosis. We encode organizational capabilities (genotype) into four gene groups, Adaptability, Technology, Governance, and Culture, and link them to five human-centric outcomes (phenotype). Twenty capability genes and ten outcome measures were scored, normalized (0–100 scale), and analyzed using correlations, K-means clustering, and mutation/drift tracking to capture both static maturity levels and dynamic change patterns. Results show that high Industry 5.0 readiness is consistently associated with elevated Governance and Culture scores. Three transformation archetypes were identified: Alpha, representing holistic socio-technical integration; Beta, with strong technical capacity but weaker cultural alignment; and Gamma, with fragmented capabilities and elevated vulnerability. The Digital DNA framework offers a replicable diagnostic tool for linking socio-technical capabilities to human-centric outcomes, enabling readiness assessment and guiding adaptive, ethical manufacturing strategies.","url":"https://doi.org/10.3390/su17219450","authors":["K. B. Djebbouri","Hind Alofaysan","Fatma Ahmed Hassan","Kamel Si Mohammed"],"tags":["Industry 4.0","Digital transformation","Conceptual framework","Stakeholder","Corporate governance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-24","doi":"https://doi.org/10.3390/su17219450","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4411972936","name":"Recent Trends in Non-Destructive Testing Approaches for Composite Materials: A Review of Successful Implementations","source":"openalex","abstract":"Non-destructive testing (NDT) methods are critical for evaluating the structural integrity of and detecting defects in composite materials across industries such as aerospace and renewable energy. This review examines the recent trends and successful implementations of NDT approaches for composite materials, focusing on articles published between 2015 and 2025. A systematic literature review identified 120 relevant articles, highlighting techniques such as ultrasonic testing (UT), acoustic emission testing (AET), thermography (TR), radiographic testing (RT), eddy current testing (ECT), infrared thermography (IRT), X-ray computed tomography (XCT), and digital radiography testing (DRT). These methods effectively detect defects such as debonding, delamination, and voids in fiber-reinforced polymer (FRP) composites. The selection of NDT approaches depends on the material properties, defect types, and testing conditions. Although each technique has advantages and limitations, combining multiple NDT methods enhances the quality assessment of composite materials. This review provides insights into the capabilities and limitations of various NDT techniques and suggests future research directions for combining NDT methods to improve quality control in composite material manufacturing. Future trends include adopting multimodal NDT systems, integrating digital twin and Industry 4.0 technologies, utilizing embedded and wireless structural health monitoring, and applying artificial intelligence for automated defect interpretation. These advancements are promising for transforming NDT into an intelligent, predictive, and integrated quality assurance system.","url":"https://doi.org/10.3390/ma18133146","authors":["Jan Lean Tai","Mohamed Thariq Hameed Sultan","Andrzej Łukaszewicz","Jerzy Jóźwik","Zbigniew Oksiuta","Farah Syazwani Shahar"],"tags":["Nondestructive testing","Thermography","Aerospace","Delamination (geology)","Structural material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-02","doi":"https://doi.org/10.3390/ma18133146","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4412635581","name":"Embedding Circular Operations in Manufacturing: A Conceptual Model for Operational Sustainability and Resource Efficiency","source":"openalex","abstract":"In response to growing environmental pressures and material constraints, circular economy principles are gaining traction across manufacturing sectors. However, most existing frameworks emphasize design and supply chain considerations, with limited focus on how circularity can be operationalized within internal manufacturing systems. This paper proposes a conceptual model that embeds circular operations at the core of production strategy. Grounded in circular economy theory, operations management, and socio-technical systems thinking, the model identifies four key operational pillars: circular input management, looping process and waste valorization, product-life extension, and reverse logistics. These are supported by enabling factors—digital infrastructure, organizational culture, and leadership—and mediated by operational flexibility, which facilitates adaptive, closed-loop performance. The model aims to align internal processes with long-term sustainability outcomes, specifically resource efficiency and operational resilience. Practical implications are outlined for resource-intensive industries such as automotive, electronics, and FMCG, along with a readiness assessment framework for guiding implementation. This study offers a pathway for future empirical research and policy development by integrating circular logic into the structural and behavioral dimensions of operations. The model contributes to advancing the Sustainable Development Goals (SDGs), particularly SDG 9 and SDG 12, by positioning circularity as a regenerative operational strategy rather than a peripheral initiative.","url":"https://doi.org/10.3390/su17156737","authors":["Antonius Setyadi","Suharno Pawirosumarto","Alana Damaris"],"tags":["Sustainability","Embedding","Resource (disambiguation)","Resource efficiency","Conceptual model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-24","doi":"https://doi.org/10.3390/su17156737","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4392992595","name":"Valorization of Agro-Wastes as Fillers in PLA-Based Biocomposites for Increasing Sustainability in Fused Deposition Modeling Additive Manufacturing","source":"openalex","abstract":"The use of wheat middlings (WM) and rice husks (RH) as biofillers for mixing with poly(lactic acid) (PLA) matrix to produce new 3D-printable biocomposites was assessed. Filaments containing 10 and 20 wt.% agro-waste-derived biofillers were manufactured and, for the sake of comparison, filaments of neat PLA were also produced. The obtained filaments were characterized via thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC), showing potential for further application in additive manufacturing processing. Three-dimensionally printed specimens were thus produced and characterized via: DSC, also evaluating the specific heat capacity (CP) of specific 3D-printed specimens; dynamic mechanical analysis (DMA), also applied for determining the coefficient of linear thermal expansion (CLTE) measured on 3D-printed specimens in two different directions (X and Y); and tensile tests. The latter testing campaign was carried out along three printing directions (X, Y, and Z axes) to test the intrinsic biocomposite features (X-printed samples) as well as interbead and interlayer adhesion (Y- and Z-printed specimens, respectively). All samples demonstrated acceptable properties. The inclusion of a cost-free natural material leads to a strong reduction of the whole material cost. Implementing this new class of composite material to an additive manufacturing technique can significantly reduce the environmental impact of 3D-printed products.","url":"https://doi.org/10.3390/ma17061421","authors":["Niccolò Giani","Emanuele Maccaferri","Tiziana Benelli","Marco Bovo","Daniele Torreggiani","Enrico Gianfranco Campari","Patrizia Tassinari","Loris Giorgini","Laura Mazzocchetti"],"tags":["Biocomposite","Differential scanning calorimetry","Materials science","Thermogravimetric analysis","Composite material"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-20","doi":"https://doi.org/10.3390/ma17061421","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4405057683","name":"Leveraging Ai-Driven Decision Intelligence For Complex Systems Engineering","source":"openalex","abstract":"Complex industrial systems, encompassing domains such as smart logistics, energy grids, and aerospace systems engineering, present significant challenges in decision-making due to their intricate interdependencies and dynamic nature.Traditional decision-making frameworks often fall short in addressing these complexities, requiring innovative approaches to enhance accuracy, adaptability, and efficiency.Artificial intelligence [AI] is revolutionizing decision intelligence in these systems by leveraging advanced methodologies like deep learning [DL], reinforcement learning [RL], and digital twin technologies.DL models enable the extraction of meaningful insights from large volumes of unstructured data, providing predictive capabilities and real-time monitoring.RL complements this by supporting adaptive decision-making in dynamic environments, enabling systems to learn optimal strategies through iterative feedback.Digital twin technologies further enhance decision intelligence by creating real-time, virtual replicas of physical systems.These digital twins enable dynamic simulations, allowing for scenario testing, risk analysis, and system optimization without disrupting actual operations.The synergy of these AI technologies is particularly evident in applications such as optimizing resource allocation in smart logistics, managing energy distribution in decentralized grids, and simulating complex designs in aerospace systems.By integrating these tools, industries can improve operational efficiency, reduce costs, and enhance system resilience.Despite these advancements, challenges persist in ensuring data integrity, scalability, and cross-domain interoperability.However, the convergence of AI-driven technologies offers a transformative pathway for addressing the complexity of modern industrial systems, driving innovation and sustainable development across diverse sectors.","url":"https://doi.org/10.55248/gengpi.5.1124.3343","authors":["Foluke Ekundayo"],"tags":["Computer science","Artificial intelligence","Systems engineering","Management science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-01","doi":"https://doi.org/10.55248/gengpi.5.1124.3343","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4412942302","name":"Continuous Manufacturing of Recombinant Drugs: Comprehensive Analysis of Cost Reduction Strategies, Regulatory Pathways, and Global Implementation","source":"openalex","abstract":"The biopharmaceutical industry is undergoing a fundamental transformation from traditional batch manufacturing to continuous manufacturing (CM) for recombinant drugs and biosimilars, driven by regulatory support through the International Council for Harmonization (ICH) Q13 guidance and compelling economic advantages. This comprehensive review examines the technical, economic, and regulatory aspects of implementing continuous manufacturing specifically for recombinant protein production and biosimilar development, synthesizing validated data from peer-reviewed research, regulatory sources, and global implementation case studies. The analysis demonstrates that continuous manufacturing offers substantial benefits, including a reduced equipment footprint of up to 70%, a 3- to 5-fold increase in volumetric productivity, enhanced product quality consistency, and facility cost reductions of 30-50% compared to traditional batch processes. Leading biomanufacturers across North America, Europe, and the Asia-Pacific region are successfully integrating perfusion upstream processes with connected downstream bioprocesses, enabling the fully end-to-end continuous manufacture of biopharmaceuticals with demonstrated commercial viability. The regulatory framework has been comprehensively established through ICH Q13 guidance and region-specific implementations across the FDA, EMA, PMDA, and emerging market authorities. This review provides a critical analysis of advanced technologies, including single-use perfusion bioreactors, continuous chromatography systems, real-time process analytical technology, and Industry 4.0 integration strategies. The economic modeling presents favorable return-on-investment profiles, accompanied by a detailed analysis of global market dynamics, regional implementation patterns, and supply chain integration opportunities.","url":"https://doi.org/10.3390/ph18081157","authors":["Sarfaraz K. Niazi"],"tags":["Biosimilar","Downstream (manufacturing)","Supply chain","Harmonization","Biopharmaceutical"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-04","doi":"https://doi.org/10.3390/ph18081157","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7120076662","name":"Advances in Materials and Manufacturing for Scalable and Decentralized Green Hydrogen Production Systems","source":"openalex","abstract":"The expansion of green hydrogen requires technologies that are both manufacturable at a GW-to-TW power scale and adaptable for decentralized, renewable-driven energy systems. Recent advances in proton exchange membrane, alkaline, and solid oxide electrolysis reveal persistent bottlenecks in catalysts, membranes, porous transport layers, bipolar plates, sealing, and high-temperature ceramics. Emerging fabrication strategies, including roll-to-roll coating, spatial atomic layer deposition, digital-twin-based quality assurance, automated stack assembly, and circular material recovery, enable high-yield, low-variance production compatible with multi-GW power plants. At the same time, these developments support decentralized hydrogen systems that demand compact, dynamically operated, and material-efficient electrolyzers integrated with local renewable generation. The analysis underscores the need to jointly optimize material durability, manufacturing precision, and system-level controllability to ensure reliable and cost-effective hydrogen supply. This paper outlines a convergent approach that connects critical-material reduction, high-throughput manufacturing, a digitalized balance of plant, and circularity with distributed energy architectures and large-scale industrial deployment.","url":"https://doi.org/10.3390/jmmp10010028","authors":["Gabriella Stefánia Szabó","Florina-Ambrozia Coteț","Sàra Ferenci","Loránd Szabó"],"tags":["Scalability","Renewable energy","Hydrogen production","Process engineering","Controllability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-09","doi":"https://doi.org/10.3390/jmmp10010028","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4406890645","name":"Lightweight and Robust Key Agreement for Securing IIoT-Driven Flexible Manufacturing Systems","source":"openalex","abstract":"The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of the Industrial IoT (IIoT) remain formidable challenges. Existing lightweight protocols often omit one or more critical security features, such as anonymity and untraceability, and are susceptible to threats like desynchronization attacks. Additionally, they struggle to achieve an optimal balance between robust security and performance efficiency. To bridge these gaps, we introduce a new lightweight key agreement security scheme that guarantees secure access to the IIoT-enabled flexible manufacturing system (FMS). The strength of our scheme lies in its utilization of the authenticated encryption with associative data (AEAD) primitive, AEGIS, along with hash functions and physical unclonable functions, which secure the IIoT ecosystem. Additionally, our scheme offers flexibility in the form of the addition of new machines, password updates, and revocation in cases of theft or loss. A comprehensive security analysis demonstrates the efficacy of the proposed scheme in thwarting various attacks. The formal analysis, based on the Real-or-Random (RoR) model, ensures session key indistinguishability, while the informal analysis highlights its resilience against known attacks. The comparative assessment demonstrates that the proposed scheme consistently outperforms the benchmark schemes across multiple dimensions, including security and functionality features, computational and communication overheads, and runtime efficiency. Specifically, the proposed scheme achieves peak performance enhancements of 77.55%, 44.73%, and 69.6% in computational overhead, runtime overhead, and communication overhead, respectively, underscoring its substantial performance advantages.","url":"https://doi.org/10.1109/jiot.2025.3535846","authors":["Muhammad Hammad","Akhtar Badshah","Mohammed A. Almeer","Muhammad Waqas","Houbing Song","Sheng Chen","Zhu Han"],"tags":["Computer science","Key (lock)","Robustness (evolution)","Distributed computing","Computer security"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-28","doi":"https://doi.org/10.1109/jiot.2025.3535846","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W3213044275","name":"Managing Plastic Waste─Sorting, Recycling, Disposal, and Product Redesign","source":"openalex","abstract":"Over the years, the petrochemical industry has developed a plethora of polymers that are contributing to the well-being of humanity. Irresponsible disposal of used plastics has, however, led to the buildup of litter, which is fouling the environment, harming wildlife, and wasting valuable resources. This paper critically reviews the challenge and opportunities in converting plastic waste into a feedstock for the industry. It discusses (a) the amount, quality, and sorting of plastic waste; (b) mechanical recycling and extraction or dissolution/precipitation; (c) chemical recycling to monomers and to feedstock and other chemicals; and (d) waste disposal by incineration, biodegradation, landfill, and microplastics. It will, finally, broaden the circularity discussion with life-cycle analyses (LCA), design for recycling, and the future role of renewable carbon as a feedstock.","url":"https://doi.org/10.1021/acssuschemeng.1c05013","authors":["Jean‐Paul Lange"],"tags":["Waste management","Raw material","Incineration","Petrochemical","Microplastics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-12","doi":"https://doi.org/10.1021/acssuschemeng.1c05013","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W7127563053","name":"Decentralised task planning and motion coordination for scalable multi-robot collaborative manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rcim.2026.103255","authors":["Hang Yang","Wenjun Xu","Duc Truong Pham","Lei Qi","Mengyuan Ba"],"tags":["Scalability","Reinforcement learning","Computer science","Task (project management)","Motion (physics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-04","doi":"https://doi.org/10.1016/j.rcim.2026.103255","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"oa:W4414183329","name":"Creating Smart Manufacturing Based on AGI Twins and Interacting Intelligent Platforms","source":"openalex","abstract":"Smart manufacturing using AGI twins and cross-platform management are advanced technologies that combine artificial general intelligence (AGI), digital twins and integration of various platforms to improve the efficiency and flexibility of manufacturing processes. AGI digital twins simulate real manufacturing processes, equipment and systems, allowing to predict failures, optimize operations and conduct scenario analysis. AGI digital twins can adapt to changes in the manufacturing environment, providing high accuracy and flexibility of management. Cross-platform management, firstly, ensures the integration of various systems and devices into a single management environment, secondly, centrally controls and coordinates all stages of production regardless of the technologies and platforms used, and thirdly, ensures real-time data exchange, increasing transparency and efficiency of decision-making. The use of AGI digital twins on a cross-platform basis allows you to create a flexible, scalable and smart manufacturing ecosystem. Such a solution helps to reduce downtime, improve product quality and reduce costs and provides the ability to quickly respond to changes in the market and customer requirements. Enterprises use AGI digital twins to model production scenarios and optimize logistics. Integration with management systems allows for automated production planning and control. The use of cross-platform solutions helps to unite factories, warehouses, and logistics chains into a single network.","url":"https://doi.org/10.56397/jwe.2025.08.12","authors":["Evgeniy Bryndin"],"tags":["Flexibility (engineering)","Smart manufacturing","Industry 4.0","Computer science","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.56397/jwe.2025.08.12","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch011","name":"The Hypersituated Learner and the Digital Twin","source":"crossref","abstract":"The convergence of artificial intelligence, the Internet of Things, and digital twin technology is creating the conditions for a new paradigm in education: hypersituated learning. This chapter argues that the learner's digital twin is the infrastructural condition through which hypersituated learning becomes pedagogically coherent at scale. By integrating cognitive profiles, behavioural patterns, and real-time contextual data, the learner's digital twin enables continuous, situated, and proactive personalisation across lifelong learning pathways. However, this convergence carries a structural tension: the same architecture that enables personalisation simultaneously enables continuous observation, algorithmic inference, and control. Drawing on surveillance capitalism, algorithmic governmentality, and the philosophy of technology, the chapter examines the conditions under which this paradigm serves cognitive emancipation rather than heteronomy, proposing a governance framework built on pedagogical intentionality, algorithmic transparency, and democratic oversight.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch011","authors":["Filipe T. Moreira","Sara Martins"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch011","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3233/atde230903","name":"Machine Learning Informed Digital Twin for Chemical Flow Processes","source":"crossref","abstract":"Digital Twin (DT) is a virtual representation that is parameterized based on the real process data to model, simulate, monitor, analyze, and optimize the physical systems they represent. DT have been predominantly used in the mechanical engineering field and have yet to be extensively used in chemical flow processes particularly for the challenge of scale-up which is very important particularly when moving from lab experiment to industrial scales. It is a challenge to maintain various process parameters while increasing the scale of reactors geometry. The parameters might not show a predictable linear co-relationship due to concurrent chemical conversion processes behaving differently on different scale. We apply and compare various machine learning methodologies such as Radial Basis Function Neural Networks, Gaussian Process Regression and Polynomial Regression to the development of chemical flow process DT for scale-up. We show that these methodologies can be used to predict the product yield of a chemical flow process during scale-up.","url":"https://doi.org/10.3233/atde230903","authors":["Nur Aliya Nasruddin","Nazrul Islam","John Oyekan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-30T07:31:46Z","doi":"10.3233/atde230903","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1088/1742-6596/1884/1/012017","name":"Digital twin-based smart manufacturing cell: Application Case, System Architecture and Implementation","source":"crossref","abstract":"Abstract Smart manufacturing is considered to be a universal solution for upgrading manufacturing. Currently, the manufacturing tasks are becoming more personalized and the complexity of the manufacturing environment is increasing. Therefore, the manufacturing system needs to have a high level of learning and cognitive abilities. In order to cope with changes in the manufacturing environment, this paper proposes a system architecture of a smart manufacturing cell, which can intelligently sense, analyze, and make decisions to support autonomous manufacturing. Through the implementation in the experiment, it is verified that the proposed architecture is reasonable.","url":"https://doi.org/10.1088/1742-6596/1884/1/012017","authors":["Jiyuan Zhang","Pengzhong Li","Liang Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-27T22:58:25Z","doi":"10.1088/1742-6596/1884/1/012017","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/case56687.2023.10260642","name":"A System-Level Energy-Efficient Digital Twin Framework for Runtime Control of Batch Manufacturing Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/case56687.2023.10260642","authors":["Hongliang Li","Herschel C. Pangborn","Ilya Kovalenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-28T17:32:23Z","doi":"10.1109/case56687.2023.10260642","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmapro.2026.03.010","name":"Edge digital twin-driven machining deformation simulation and compensation framework for thin-walled parts during fabrication","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2026.03.010","authors":["Xujie Li","Neng Wan","Wudong Cheng","Wei Hui","Yumeng Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-07T16:47:45Z","doi":"10.1016/j.jmapro.2026.03.010","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmapro.2023.06.002","name":"Reprint of: Physical modeling for digital twin of Continuous Damping Control damper","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2023.06.002","authors":["Tao Li","Zhongyuan Liao","Yi Cai"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-10T13:33:13Z","doi":"10.1016/j.jmapro.2023.06.002","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icieam54945.2022.9787261","name":"Digital Twin Technologies for Diesel Generator Sets in Backup and Emergency Power Supply Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icieam54945.2022.9787261","authors":["A. V. Isaev","A. I. Nefed'ev","I. A. Isaev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-09T21:32:28Z","doi":"10.1109/icieam54945.2022.9787261","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1145/3756423.3756560","name":"A Study on the Application of Artificial Intelligence in Digital Twin Monitoring of Building Structural Health","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3756423.3756560","authors":["Yue Pan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-18T06:59:07Z","doi":"10.1145/3756423.3756560","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.matdes.2024.113086","name":"Big data, machine learning, and digital twin assisted additive manufacturing: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.matdes.2024.113086","authors":["Liuchao Jin","Xiaoya Zhai","Kang Wang","Kang Zhang","Dazhong Wu","Aamer Nazir","Jingchao Jiang","Wei-Hsin Liao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-25T13:48:44Z","doi":"10.1016/j.matdes.2024.113086","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2026.04.003","name":"Spatio-temporal graph neural network based digital twin surrogate for throughput estimation in general assembly lines","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2026.04.003","authors":["Muhammad Waseem","Changbai Tan","Seog-Chan Oh","Jorge Arinez","Zijun Zhou","Qing Chang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-06T23:12:05Z","doi":"10.1016/j.jmsy.2026.04.003","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.30844/i4se.24.2.8","name":"Digital Platform Frameworks for Manufacturing Companies - A Review","source":"crossref","abstract":"","url":"https://doi.org/10.30844/i4se.24.2.8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-22T21:29:36Z","doi":"10.30844/i4se.24.2.8","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-14070-9.00007-x","name":"Simulation and visualization aspects of a digital twin for wind farms","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-14070-9.00007-x","authors":["Arne G. Styve","Agus Hasan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-15T04:25:50Z","doi":"10.1016/b978-0-443-14070-9.00007-x","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.dcan.2023.05.008","name":"Suitability of SDN and MEC to facilitate digital twin communication over LTE-A","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dcan.2023.05.008","authors":["Hikmat Adhami","Mohammad Alja'afreh","Mohamed Hoda","Jiaqi Zhao","Yong Zhou","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-01T08:09:50Z","doi":"10.1016/j.dcan.2023.05.008","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3233/978-1-61499-902-7-429","name":"Co-Simulation Architecture Between a Digital Twin and a Virtual Reality Environment in an Industrial Context","source":"crossref","abstract":"In the context of Industry 4.0 and digital factory, digital twin and virtual reality represent technologies that can deal with several industrial issues like design, simulation and optimisation of industrial systems. They are helpful to develop collaboration, innovation or training.","url":"https://doi.org/10.3233/978-1-61499-902-7-429","authors":["Lacomblez Marc","Jeanne Benoit","Havard Vincent","Baudry David"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-19T17:19:26Z","doi":"10.3233/978-1-61499-902-7-429","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.procir.2025.02.194","name":"Digital Twin Driven Quality Control in Smart Mobile Factories: A Framework in Precast Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2025.02.194","authors":["Ananya Tripathi","Ishaan Kaushal","Andrea Revolti","Lorenzo Benedetti","Patrick Dallasega"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T11:48:07Z","doi":"10.1016/j.procir.2025.02.194","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.rcim.2025.102986","name":"A high-precision digital twin modeling approach for the serial-parallel hybrid drilling robot in aircraft assembly","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2025.102986","authors":["Ruihao Kang","Junshan Hu","Zhanghu Shi","Jiawei Zhang","Zhengping Li","Zhihao Li","Wei Tian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-13T21:29:53Z","doi":"10.1016/j.rcim.2025.102986","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1504/ijetp.2025.149452","name":"Intelligent monitoring method for variable working conditions in intelligent manufacturing systems under digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijetp.2025.149452","authors":["Yunlong Zhao","Man Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-01T12:30:18Z","doi":"10.1504/ijetp.2025.149452","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.7717/peerj-cs.3929/fig-15","name":"Figure 15: Digital twin for intelligent supply chain.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/fig-15","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/fig-15","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-28839-5_58","name":"Conceptual Framework of a Digital Twin Fostering Sustainable Manufacturing in a Brownfield Approach of Small Volume Production for SMEs","source":"crossref","abstract":"Abstract SMEs are increasingly forced to shift to more sustainable manufacturing. Industry 4.0 can support the transformation and foster innovation. But, SMEs need solutions with a low barrier to entry in terms of investment, IT knowledge and capacities. A framework based on value and material flow analysis, low investments and user-oriented IT skills is proposed. As an example, it is implemented in the furniture industry and shows a digital twin in terms of monitoring the energy and material flows. In addition, a product-specific allocation of energy consumption, energy peak shaving and other applications are possible.","url":"https://doi.org/10.1007/978-3-031-28839-5_58","authors":["Sandra Krommes","Florian Tomaschko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-25T14:07:25Z","doi":"10.1007/978-3-031-28839-5_58","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2023.09.005","name":"Towards discrete manufacturing workshop-oriented digital twin model: Modeling, verification and evolution","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2023.09.005","authors":["Weiwei Qian","Yu Guo","Litong Zhang","Shengbo Wang","Shaohua Huang","Sai Geng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-21T06:32:36Z","doi":"10.1016/j.jmsy.2023.09.005","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s10845-025-02572-x","name":"Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing","source":"crossref","abstract":"Abstract Semiconductor manufacturing systems are highly complex due to intricate processes and material flows. Operating these systems efficiently remains a significant challenge, particularly under the growing demands for operational excellence and cost reduction. Current approaches often rely on extensive manual modeling, which slows down production planning and adaptation. To address these challenges, we propose a data-driven methodology for Automatic Simulation Model Generation (ASMG), enhanced by machine learning techniques. This fully automated pipeline extracts and processes production data (lot tracking information and resource states) to generate simulation models without manual intervention. A machine learning technique called equipment emulation captures complex tool behaviors and mitigates issues with noisy or incomplete data. Validation in two real-world semiconductor production environments, covering over 300 days and showing an accuracy within 5–7% for throughput and uptime, demonstrates the method’s ability to produce precise models. By reducing the time and expertise required for model creation, this ASMG method facilitates agile digital twin implementations and enables faster, more responsive production planning.","url":"https://doi.org/10.1007/s10845-025-02572-x","authors":["Sebastian Behrendt","Thomas Altenmüller","Marvin Carl May","Andreas Kuhnle","Gisela Lanza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-29T00:13:50Z","doi":"10.1007/s10845-025-02572-x","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-53445-4_3","name":"Modular and Distributed Architecture Using an Embedded Digital Twin for Adaptation of Assistive Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-53445-4_3","authors":["Aurélian Houé","Cédric Seguin","Florent Frizon De Lamotte","Nathalie Julien","Willy Allègre"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-03T00:06:36Z","doi":"10.1007/978-3-031-53445-4_3","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/noms59830.2024.10575077","name":"Digital Twin Network for dynamic management of a Bluetooth Mesh Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/noms59830.2024.10575077","authors":["Jorg Wieme","Mathias Baert","Jeroen Hoebeke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-02T17:23:51Z","doi":"10.1109/noms59830.2024.10575077","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-85316-6_6","name":"Model-Based Energy Consumption Analysis in Digital Twin for Energy-Aware Industrial Robots","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-85316-6_6","authors":["Ionuţ Lenţoiu","Silviu Răileanu","Theodor Borangiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-02T10:15:59Z","doi":"10.1007/978-3-031-85316-6_6","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch010","name":"Regulating Intelligent Learning Systems","source":"crossref","abstract":"This chapter examines the regulatory, legal, and governance challenges associated with AI-driven and digital twin–enabled intelligent learning systems. It highlights how adaptive AI technologies and real-time digital twin simulations are transforming education into personalized, data-driven ecosystems. However, the rapid adoption of these technologies has outpaced legal and policy frameworks, creating concerns related to data privacy, algorithmic bias, accountability, and ethical governance. The chapter develops an integrated governance framework combining AI governance theory, data governance principles, and policy design strategies. It further explores global and national regulatory landscapes, stakeholder roles, and implementation challenges. The study concludes that effective governance requires transparency, inclusivity, and adaptive regulatory mechanisms to ensure responsible, equitable, and sustainable deployment of intelligent learning systems.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch010","authors":["Satyam Singh","Archana Kumari","Deepali Sinha","Amitanshu Nayak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch010","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00010-4","name":"Digital twin development and deployment for a wind turbine","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00010-4","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:56Z","doi":"10.1016/b978-0-12-821631-6.00010-4","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003132868-8","name":"Digital Twin Techniques in Recognition of Human Action Using the Fusion of Convolutional Neural Network","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003132868-8","authors":["Meenu Gupta","Rakesh Kumar","Sapna Dewari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T15:47:30Z","doi":"10.1201/9781003132868-8","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.rcim.2021.102173","name":"Ontology-based information modeling method for digital twin creation of as-fabricated machining parts","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2021.102173","authors":["Sheng Dai","Gang Zhao","Yong Yu","Pai Zheng","Qiangwei Bao","Wei Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-05-17T05:03:55Z","doi":"10.1016/j.rcim.2021.102173","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3390/buildings14072110","name":"Digital Management Methodology for Building Production Optimization through Digital Twin and Artificial Intelligence Integration","source":"crossref","abstract":"In a construction project schedule, delays in delivery are one of the most important problems. Delays can be caused by several project components; however, the issue is amplified when delays occur simultaneously. Classifying delays is relevant in order to allocate responsibility to the parties. In Italy, the delay in the delivery of medium and large-sized works in residential urban centers is about 15% compared to the project forecast. Moreover, the AECO sector’s ability to adapt to emerging challenges, such as environmental sustainability and digitization, is limited by the lack of innovation in management methods. The aim of this research is to create a methodology for managing the built and to-be-built environment in a digital way. This will optimize the building process by reducing delays and waste of resources. The methodology will use tools such as digital twin (DT), Building Information Modeling (BIM), Internet of Things (IoT), and Artificial Intelligence (AI) algorithms. The integration of lean construction practices can make the use of these technologies even more efficient, supporting better workflow management by using the BIM environment. The paper presents a methodology that can be applied to various scaling factors and scenarios. It is also useful for construction sites that are already in progress. As highlighted below, this brings significant economic-temporal advantages.","url":"https://doi.org/10.3390/buildings14072110","authors":["Giuseppe Piras","Francesco Muzi","Virginia Adele Tiburcio"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-10T09:23:08Z","doi":"10.3390/buildings14072110","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003498117-5","name":"Healthcare operations and management using digital twin technology","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003498117-5","authors":["M. T. Vasumathi","Manju Sadasivan","Aurangjeb Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-16T14:31:58Z","doi":"10.1201/9781003498117-5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2026.2640650","name":"Digital twin-based lateral offset trajectory compensation and straightness measurement method for ultra-long guide rails","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2640650","authors":["Yang Xiao","Huaqing Wang","Jianshuang Li","Yao Huang","Yuan Xu","Weikang Chen","Qingfeng Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-17T11:33:17Z","doi":"10.1080/27525783.2026.2640650","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.cirpj.2021.06.004","name":"Reprint of: Basic considerations for a digital twin of biointelligent systems: Applying technical design patterns to biological systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cirpj.2021.06.004","authors":["R. Miehe","J. Horbelt","Y. Baumgarten","T. Bauernhansl"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-27T08:16:22Z","doi":"10.1016/j.cirpj.2021.06.004","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2025.11.020","name":"Agentic digital twin-embedded maintenance methodology for energy equipment: A self-evolving operational paradigm","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.11.020","authors":["Wang Cong","Wu Tao","Bao Jinsong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-09T22:39:52Z","doi":"10.1016/j.jmsy.2025.11.020","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2026.2717969","name":"Enhancing wind-farm operation with Asset Administration Shell-based digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2717969","authors":["Evi Elisa Ambarita","Anniken Karlsen","Francesco Scibilia","Steffan Sørenes","Agus Hasan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-27T17:48:48Z","doi":"10.1080/27525783.2026.2717969","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.rcim.2026.103234","name":"A digital twin-driven deviation analysis approach for aircraft hydraulic pipelines assembly","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2026.103234","authors":["Liang Chen","Yue Zhao","Aihua Su","Wenqiang Yang","Yu Zheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-10T05:05:02Z","doi":"10.1016/j.rcim.2026.103234","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.rcim.2025.102965","name":"Towards a trusted synchronized decision-making method for social production logistics systems based on blockchain and digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2025.102965","authors":["Zhongfei Zhang","Ting Qu","George Q. Huang","Yongheng Zhang","Kuo Zhao","Jun Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-28T17:50:41Z","doi":"10.1016/j.rcim.2025.102965","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icac55051.2022.9911148","name":"Real Time Object Detection in Digital Twin with Point-Cloud Perception for a Robotic Manufacturing Station","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icac55051.2022.9911148","authors":["Quan Zhang","Yuhan Li","Enggee Lim","Jie Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-10T20:25:08Z","doi":"10.1109/icac55051.2022.9911148","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s00170-026-18626-0","name":"Unified multi-mode material characterization and digital twin simulation for complex thermoforming","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-18626-0","authors":["Rasoul Varedi","Bart Buffel","Frederik Desplentere"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T06:58:44Z","doi":"10.1007/s00170-026-18626-0","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmapro.2023.07.061","name":"A reduced order model based on adaptive proper orthogonal decomposition incorporated with modal coefficient learning for digital twin in process industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2023.07.061","authors":["Xiaoyang Zhu","Yangjian Ji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-10T18:38:04Z","doi":"10.1016/j.jmapro.2023.07.061","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/0951192x.2025.2511105","name":"A digital twin optimization method for complex product workshop scheduling with abnormal events","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2025.2511105","authors":["Yunrui Wang","Haoning Wang","Le Wang","Rui Li","Yan Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T03:18:39Z","doi":"10.1080/0951192x.2025.2511105","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s00170-022-09462-z","name":"Conceptual foundations and extension of digital twin-based virtual factory to virtual enterprise","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-09462-z","authors":["Emre Yildiz","Charles Møller","Arne Bilberg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-06-10T00:02:33Z","doi":"10.1007/s00170-022-09462-z","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.rcim.2021.102230","name":"A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2021.102230","authors":["Xin Yang","Yan Ran","Genbao Zhang","Hongwei Wang","Zongyi Mu","Shengguang Zhi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-02T05:49:10Z","doi":"10.1016/j.rcim.2021.102230","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/wcmeim56910.2022.10021382","name":"Design of Crawler Crane Simulation System Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcmeim56910.2022.10021382","authors":["Zhongjie Shao","Bing Li","Zhaoxiang Dong","Haonan Ye","Jianguo Liao","Yulan Wei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T13:57:00Z","doi":"10.1109/wcmeim56910.2022.10021382","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00023-6","name":"Role of digital twin and blockchain for personal security","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00023-6","authors":["Mohd Javaid","Abid Haleem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T22:05:44Z","doi":"10.1016/b978-0-443-30076-9.00023-6","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1049/pbhe046e_ch1","name":"Introduction: digital twin technology in healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch1","authors":["M. Santhiya","V. Vishnu Priya","Rajesh Kumar Dhanaraj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch1","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00015-7","name":"Digital Twin technologies in enhancing supply chain resilience","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00015-7","authors":["Lai Xu","Paul de Vrieze"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T21:59:59Z","doi":"10.1016/b978-0-443-30076-9.00015-7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-73679-7_3","name":"ML for Digital Twin Over Wireless Networks: Creation, Deployment, and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-73679-7_3","authors":["Yuchen Liu","Zhaohui Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-10T17:25:31Z","doi":"10.1007/978-3-031-73679-7_3","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2025.2600190","name":"Industrial Metaverse challenges, opportunities, and the impact on sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2600190","authors":["Dimitris Tsakalos","George A. Krimpas","Dimitris Mourtzis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-15T13:38:38Z","doi":"10.1080/27525783.2025.2600190","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s10845-025-02625-1","name":"COGNIMAN Digital Twin Architecture for Flexible Manufacturing","source":"crossref","abstract":"Abstract Despite recent progresses in smart manufacturing, existing architectures often fail to meet the comprehensive demands of modern manufacturing environments, such as flexibility, scalability, and seamless human-machine interaction. The COGNitive Industries for smart MANufacturing (COGNIMAN) architecture addresses these gaps by integrating advanced technologies with a focus on human-centric design. This article introduces COGNIMAN architecture as an essential pillar for Industry 5.0, enhancing operational efficiency through continuous monitoring, real-time data analysis, and predictive insights powered by machine learning. Its modular design optimizes resource utilization, reduces waste, and improves energy efficiency, aligning with eco-conscious manufacturing trends. By integrating sensors, robotics, digital twins, simulation, and AI, COGNIMAN offers a flexible, resilient, and sustainable platform adaptable to various manufacturing processes. The novelty of COGNIMAN architecture lies in its comprehensive approach, addressing key requirements such as flexibility, interoperability, maintainability, and adaptability. It fosters inclusive and safer working environments while supporting sustainable manufacturing practices. A case study in glass fiber manufacturing demonstrates COGNIMAN’s architecture applicability across different fields, enhancing the global competitiveness of European technology and manufacturing sectors.","url":"https://doi.org/10.1007/s10845-025-02625-1","authors":["Assia Belbachir","Antonio M. Ortiz","Ahmed Nabil Belbachir","Wissam Mallouli","An Ngoc Lam","Akhilesh Kumar Srivastava","Martin Hemmer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-12T15:07:09Z","doi":"10.1007/s10845-025-02625-1","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1142/9789819824625_0006","name":"The Application Status of Digital Twin Technology in Western Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0006","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0006","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.52152/spr.2020.01.104","name":"Digital Twin Technology: Revolutionary to improve personalized healthcare","source":"crossref","abstract":"Personalized medicine uses fine grained information on individual persons, to pinpoint deviations from the normal. ‘Digital Twins’ in engineering provide a conceptual framework to analyze these emerging data-driven health care practices, as well as their conceptual and ethical implications for therapy, preventative care and human enhancement. Digital Twins stand for a specific engineering paradigm, where individual physical artifacts are paired with digital models that dynamically reflects the status of those artifacts. Moral distinctions namely may be based on patterns found in these data and the meanings that are grafted on these patterns. Ethical and societal implications of Digital Twins are explored. Digital Twins imply a data-driven approach to health care. This approach has the potential to deliver significant societal benefits, and can function as a social equalizer, by allowing for effective equalizing enhancement interventions","url":"https://doi.org/10.52152/spr.2020.01.104","authors":["Harita Garg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-11T13:25:25Z","doi":"10.52152/spr.2020.01.104","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2507/32nd.daaam.proceedings.086","name":"A Digital Twin Based Self-Calibration Tool for Fault Prediction of FDM Additive Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2507/32nd.daaam.proceedings.086","authors":["Fabio Corradini","Marco Silvestri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-12-14T22:18:38Z","doi":"10.2507/32nd.daaam.proceedings.086","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.compind.2022.103831","name":"Development and validation of a digital twin framework for SMT manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.compind.2022.103831","authors":["Reinhardt Seidel","Ben Rachinger","Nils Thielen","Konstantin Schmidt","Sven Meier","Jörg Franke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-12-15T04:50:09Z","doi":"10.1016/j.compind.2022.103831","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/02286203.2024.2395899","name":"Digital twin-enabled quality control through deep learning in industry 4.0: a framework for enhancing manufacturing performance","source":"crossref","abstract":"","url":"https://doi.org/10.1080/02286203.2024.2395899","authors":["Yehya Aniba","Mounir Bouhedda","Mourad Bachene","Messaoud Rahim","Hamza Benyezza","Abdelhafid Tobbal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-27T12:59:51Z","doi":"10.1080/02286203.2024.2395899","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.7717/peerj-cs.2892/fig-8","name":"Figure 8: Measured forces in digital twin experiment.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.2892/fig-8","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-20T04:56:38Z","doi":"10.7717/peerj-cs.2892/fig-8","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jclepro.2025.145192","name":"Soft-sensors to drive manufacturing toward clean production: LCA based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2025.145192","authors":["Mirco Piron","Enrico Bovo","Giovanni Lucchetta","Alessandro Manzardo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-04T00:44:39Z","doi":"10.1016/j.jclepro.2025.145192","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-24291-5_7","name":"Modelling Manufacturing Systems for Digital Twin Through Communicating Finite State Machines","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-24291-5_7","authors":["Lorenzo Ragazzini","Elisa Negri","Luca Fumagalli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-01T10:24:30Z","doi":"10.1007/978-3-031-24291-5_7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmapro.2026.08.009","name":"A machine learning-driven digital twin framework for mold optimization and safety assessment in highly filled viscous materials extrusion","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmapro.2026.08.009","authors":["Zihan Zhou","Xin Zhuang","Chenglong Xu","Yu Wang","Guo Li","Jiangning Wang","Linsheng Xie"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-11T19:41:36Z","doi":"10.1016/j.jmapro.2026.08.009","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.46254/ba07.20240144","name":"IoT-Enabled Digital Twin Ecosystem for Optimizing Maintenance and Minimizing Downtime in Smart Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.46254/ba07.20240144","authors":["Syeda Shakira Akter","Md. Maruf Hossain Munna","Khondaker Iffti Hasan Turjo","Md. Asif Sarker Emon","Kazi Redwan","Mustakim Ahmed","Md. Faruk Abdullah Al Sohan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-08T18:28:07Z","doi":"10.46254/ba07.20240144","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3311/ccc2024-087","name":"A Digital Twin Framework for Predictive Maintenace Systems Promoting Net Zero Principles","source":"crossref","abstract":"","url":"https://doi.org/10.3311/ccc2024-087","authors":["Scott Sheenan","Faris Elghaish","Tara Brooks"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-07T06:07:46Z","doi":"10.3311/ccc2024-087","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.7717/peerj-cs.3929/fig-3","name":"Figure 3: Different working levels of digital twin.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3929/fig-3","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T08:00:21Z","doi":"10.7717/peerj-cs.3929/fig-3","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.63125/58khxn65","name":"High-Performance Computing Simulation of Digital Twin Synchronization in Smart Manufacturing Projects: A Quantitative Analysis of Edge-Cloud Architectures","source":"crossref","abstract":"This study examined the problem of weak digital twin synchronization in smart manufacturing projects, where delayed data exchange, fragmented edge-cloud architecture, limited simulation capacity, and poor virtual-physical alignment reduce production visibility, decision quality, predictive maintenance, and project performance. The purpose was to quantitatively assess how high-performance computing simulation and edge-cloud architecture improve digital twin synchronization effectiveness and smart manufacturing project performance. A quantitative, cross sectional, case-based design was used with structured five-point Likert survey data from 180 valid respondents representing engineering operations, IT and automation, data systems, project management, production supervision, and cloud or enterprise smart manufacturing cases. The key variables were high-performance computing simulation capability, edge computing capability, cloud computing capability, edge-cloud integration, digital twin synchronization effectiveness, and smart manufacturing project performance. The analysis plan included descriptive statistics, Cronbach’s alpha reliability testing, normality screening, Pearson correlation, regression modeling, hypothesis testing, Edge-Cloud Synchronization Performance Index analysis, and HPC Simulation Readiness and Architecture Maturity Mapping. Findings showed high agreement across all constructs, with digital twin synchronization effectiveness recording the highest mean score, M = 4.15, SD = 0.58, followed by high-performance computing simulation capability, M = 4.12, SD = 0.61, smart manufacturing project performance, M = 4.10, SD = 0.62, edge computing capability, M = 4.08, SD = 0.64, cloud computing capability, M = 4.01, SD = 0.67, and edge-cloud integration, M = 3.96, SD = 0.69. Reliability was strong, with Cronbach’s alpha values ranging from 0.801 to 0.913. Correlation results showed that synchronization effectiveness was strongly related to project performance, r = 0.721, while edge-cloud integration was strongly related to synchronization effectiveness, r = 0.696. Regression results showed that technological capabilities explained 62.4% of synchronization effectiveness, adjusted R² = 0.624, while the full model explained 67.8% of project performance, adjusted R² = 0.678. The study implies that firms should invest in HPC simulation, edge processing, cloud scalability, and integrated architecture to improve synchronization, decision quality, and project efficiency.","url":"https://doi.org/10.63125/58khxn65","authors":["Chapal Barua","Binayan Dey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-14T16:33:09Z","doi":"10.63125/58khxn65","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/sist58284.2023.10223556","name":"Digital Twin for Additive Manufacturing: Challenges and Future Research Direction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sist58284.2023.10223556","authors":["Nursultan Jyeniskhan","Karina Shaimergenova","Md. Hazrat Ali","Essam Shehab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-28T17:48:17Z","doi":"10.1109/sist58284.2023.10223556","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/indin45523.2021.9557492","name":"Development of Cloud-Edge Collaborative Digital Twin System for FDM Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin45523.2021.9557492","authors":["Liang Guo","Yunxi Cheng","Yu Zhang","Yingfu Liu","Changcheng Wan","Jing Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-10-11T21:23:04Z","doi":"10.1109/indin45523.2021.9557492","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icedcs57360.2022.00076","name":"Research on the application of digital twin in aerospace manufacturing based on 3D point cloud","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icedcs57360.2022.00076","authors":["Xingyu Wang","Chenxing Bao","Zengyu Sun","Xing Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-02T19:11:04Z","doi":"10.1109/icedcs57360.2022.00076","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/wsc60868.2023.10407811","name":"Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc60868.2023.10407811","authors":["Amir Ghasemi","Yavar Taheri Yeganeh","Andrea Matta","Kamil Erkan Kabak","Cathal Heavey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-31T18:30:14Z","doi":"10.1109/wsc60868.2023.10407811","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/c2018-0-04250-4","name":"Digital Twin Driven Smart Design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2018-0-04250-4","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-08T08:54:20Z","doi":"10.1016/c2018-0-04250-4","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.11159/cist24.171","name":"Implementation of Digital Twin and Deep Learning for Process Monitoring: Case Study in Injection Molding Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.11159/cist24.171","authors":["Faouzi Tayalati","Ikhlass Boukrouh","Abdelah Azmani","Monir Azmani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-11T03:36:15Z","doi":"10.11159/cist24.171","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2020.04.020","name":"A digital twin-based approach for the management of geometrical deviations during assembly processes","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2020.04.020","authors":["Jean-Loup Grégorio","Claire Lartigue","François Thiébaut","Régis Lebrun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-19T01:01:36Z","doi":"10.1016/j.jmsy.2020.04.020","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3233/atde251197","name":"Application of Digital Twin Technology in Multi-Energy Complementary Projects","source":"crossref","abstract":"With the acceleration of energy transition, multi-energy complementary projects have become an important means to achieve sustainable energy development. Digital twin technology, as an emerging digital approach, provides strong support for the planning, design, operation, and optimization of multi-energy complementary projects. This paper reviews the current application status of digital twin technology in multi-energy complementary projects, analyzes its application cases in energy system modeling, intelligent optimization, real-time monitoring, and fault diagnosis, and discusses future development trends and challenges.","url":"https://doi.org/10.3233/atde251197","authors":["Hui Kong","Qilong Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-24T09:51:08Z","doi":"10.3233/atde251197","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-443-30300-5.00024-5","name":"Blockchain technology for secure digital twin data management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30300-5.00024-5","authors":["Iraklis Varlamis","Yassine Himeur","Christos Chronis","Christos Sardianos"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-15T20:44:52Z","doi":"10.1016/b978-0-443-30300-5.00024-5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2020.05.012","name":"How to model and implement connections between physical and virtual models for digital twin application","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2020.05.012","authors":["Haifan Jiang","Shengfeng Qin","Jianlin Fu","Jian Zhang","Guofu Ding"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-02T00:56:24Z","doi":"10.1016/j.jmsy.2020.05.012","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.jmsy.2024.12.006","name":"A digital twin-driven industrial context-aware system: A case study of overhead crane operation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2024.12.006","authors":["Chao Yang","Hao Yu","Yuan Zheng","Lei Feng","Riku Ala-Laurinaho","Kari Tammi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-26T06:13:47Z","doi":"10.1016/j.jmsy.2024.12.006","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3390/jmmp4040109","name":"Digital Twin Based Optimization of a Manufacturing Execution System to Handle High Degrees of Customer Specifications","source":"crossref","abstract":"Lean production principles have greatly contributed to the efficient and customer-oriented mass production of goods and services. A core element of lean production is the focus on cycle times and designing production controls and buffers around any bottlenecks in the system. Hence, a production line organized by lean principles will operate in a static or at least quasi-static way. While the individualization of products is an interesting business approach, it can influence cycle times and in-time production. This work demonstrates how performance losses induced by highly variable cycle times can be recovered using a digital twin. The unit under analysis is an industrial joiner’s workshop. Due to the high variance in cycle time, the joinery fails its production target, even if all machines are below 80% usage. Using a discrete event simulation of the production line, different production strategies can be evaluated efficiently and systematically. It is successfully shown that the performance losses due to the highly variable cycle times can be compensated using a digital twin in combination with optimization strategies. This is achieved by operating the system in a non-static mode, exploiting the flexibilities within the systems.","url":"https://doi.org/10.3390/jmmp4040109","authors":["Andrea Barni","Dario Pietraroia","Simon Züst","Shaun West","Oliver Stoll"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-17T07:23:28Z","doi":"10.3390/jmmp4040109","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2139/ssrn.7103030","name":"Interactive Human-AI Scheduling in Smart Manufacturing: a Sliding Work Sharing Framework with Digital Twin Simulation","source":"crossref","abstract":"With the growing need for flexible and adaptive production systems, this paper presents an Artificial Intelligence (AI)-driven framework for manufacturing scheduling that supports human operators in advanced decision-making. The framework enables a context-sensitive allocation of decision authority between human and AI actors through a sliding work sharing paradigm while ensuring transparent human oversight.The framework integrates an Optimized Decision-Maker, which automatically generates feasible schedules based on activities, resources, and constraints, with a Digital Twin that simulates schedule execution and computes relevant Key Performance Indicators (KPIs). These KPIs are analyzed by a Sliding Work Sharing (SWS) component that leverages fuzzy-rule-based reasoning to determine the appropriate level of human involvement in validating or refining the generated decision.Through a Graphical User Interface, human users can monitor KPIs and SWS recommendations, perform what-if analyses, and introduce additional constraints. This interactive process operates in real time, enabling schedules to adapt to changing operational conditions.Developed within the EU-funded Ai4Work project, the framework supports line managers in scheduling replenishment activities for the E-CO Flex box-forming machine by I.M.A. S.p.A.. In the presented case study, plan robustness, reflecting the line&amp;apos;s ability to sustain throughput, and worker well-being are considered the primary KPIs, balancing production efficiency with human-centered objectives.Obtained results demonstrate effective integration of human input and positive user acceptance, highlighting the framework&amp;apos;s potential to foster productive human–AI collaboration in smart manufacturing.","url":"https://doi.org/10.2139/ssrn.7103030","authors":["Elisa Tosello","Enrico Callegati","Davide Lusuardi","Andrea Micheli","Dario Pietraroia","Diego Rovere","Riccardo Trevisan","Andrea Valdata","Alessandro Valentini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-13T00:35:34Z","doi":"10.2139/ssrn.7103030","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2025.2509708","name":"Towards aircraft inerting safety: digital twin modelling for oxygen distribution in fuel tanks based on multi-phase Smoothed Particle Hydrodynamics","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2509708","authors":["Nianyi Wang","Shuai Zheng","Yingtao Li","Dengguang Kang","Jun Hong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-13T10:16:21Z","doi":"10.1080/27525783.2025.2509708","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1145/3727648.3727767","name":"Data Risk Regulation for the Application of Digital Twin Technology in Intelligent Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3727648.3727767","authors":["Shiqiao Zhao","Jinrun Jia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-02T14:42:08Z","doi":"10.1145/3727648.3727767","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s10845-024-02524-x","name":"A systematic online update method for reduced-order-model-based digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-024-02524-x","authors":["Yifan Tang","Pouyan Sajadi","Mostafa Rahmani Dehaghani","G. Gary Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-27T14:03:36Z","doi":"10.1007/s10845-024-02524-x","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-323-91300-3.00008-5","name":"Production process management for intelligent coal mining based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-91300-3.00008-5","authors":["Xuhui Zhang","Xinyuan Lv","Yan Wang","Hongwei Fan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-18T12:05:39Z","doi":"10.1016/b978-0-323-91300-3.00008-5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1002/9781119842316.ch9","name":"Role and Advantages of Digital Twin in Oil and Gas Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch9","authors":["J. Prakash"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch9","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003281184-20","name":"Digital Twin for Wind Turbine Condition Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-20","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-20","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-981-99-4819-2_8","name":"Application of Digital Twin for Efficient Supply Chain: Analysis of Opportunities and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-4819-2_8","authors":["Laxmi Pandit Vishwakarma","Rajesh Kr Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-30T08:01:36Z","doi":"10.1007/978-981-99-4819-2_8","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s10845-023-02174-5","name":"Digital twin enhanced fault diagnosis reasoning for autoclave","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-023-02174-5","authors":["Yucheng Wang","Fei Tao","Ying Zuo","Meng Zhang","Qinglin Qi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-01T08:02:29Z","doi":"10.1007/s10845-023-02174-5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s10845-022-02072-2","name":"Research on digital twin monitoring system for large complex surface machining","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10845-022-02072-2","authors":["Tian-Feng Qi","Hai-Rong Fang","Yu-Fei Chen","Li-Tao He"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-21T16:50:11Z","doi":"10.1007/s10845-022-02072-2","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3390/jmse9030338","name":"Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line","source":"crossref","abstract":"Digital twin has aroused extensive attention of international academia and industry to support future interaction with the physical and virtual world. Although the research and application of digital twin spring up continuously, the concept in the manufacturing domain remains in its infancy. In this context, this paper first reviews the applications of digital twins for intelligent manufacturing. Then it presents an innovative application framework of a digital twin-driven ship intelligent manufacturing system and analyzes its operation mechanism. The application framework of a digital twin-driven ship intelligent manufacturing system mainly includes five parts: the physical layer, model layer, data layer, system layer, and application layer. Finally, key enabling techniques, as well as a case study in a pipe machining production line, are constructed and studied to validate the proposed approach. Meanwhile, system design and implementation, the twin modeling construction, application process, and implementation effect of the pipe machining production line are described in detail to provide a reference for enterprises.","url":"https://doi.org/10.3390/jmse9030338","authors":["Qingcai Wu","Yunsheng Mao","Jianxun Chen","Chong Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-03-19T11:18:38Z","doi":"10.3390/jmse9030338","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-3693-1818-8.ch018","name":"The Role of Digital Twin Technology in Engagement Detection of Learners in Online Learning Platforms","source":"crossref","abstract":"During and after the pandemic, online learning has been a part of various educational activities. Online educators must precisely detect the learner's engagement to provide pedagogical support. “Student engagement” refers to how much students participate intellectually and emotionally in their classwork and must be evaluated. Defining a straightforward procedure for assessing and comprehending patterns in engagement measurement can improve the figures significantly. Digital twin technology has become the centre of attention in many industries, such as manufacturing, academia, etc. This chapter presents a comprehensive analysis of all the previous approaches to quantify the degree of user involvement and the role of digital twin technology in online learner engagement. More concrete methods, such as multimodal methods, have been combined with abstract methods, such as simple face expression identification on the real-time data set. It also presents how the digital twin models are utilized to accelerate models' efficiency in various sectors of artificial intelligence applications.","url":"https://doi.org/10.4018/979-8-3693-1818-8.ch018","authors":["T. Y. J. Naga Malleswari","S. Ushasukhanya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-04T14:26:35Z","doi":"10.4018/979-8-3693-1818-8.ch018","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5194/egusphere-egu25-9922","name":"Building a Digital Twin Application for Climate Extremes: Using the interTwin Digital Twin Engine","source":"crossref","abstract":"Weather Extremes and their impacts are getting a lot of attention lately, because their occurrence, severity and spatial coverage are increasing and will likely increase further towards the mid and end of the century. Many countries are experiencing significant impact of those extremes due to climate change. It becomes more and more important to better assess the change of characteristics of those extremes according to users and society needs.It is a challenge to detect and characterize weather extremes for the future climate in all available and relevant climate simulations. A novel approach and methodology is being developed to detect and characterize the changes in weather extreme events using Artificial Intelligence (AI). This is a generic method based on Convolutional Variational Autoencoders (CVAE). This deep learning technique, that uses neural networks, can process large climate datasets much faster than traditional analytical methods.Another big challenge is to develop on-demand real-world applications that users can manipulate to explore what-if scenarios. Data does not necessarily only come from one research infrastructure (RI), but can also come from several RIs because addressing climate extremes involves climate change impacts that depend on other relevant datasets. Developing robust Digital Twin applications takes a lot of development time. In the context of the interTwin project, a very flexible Digital Twin Engine (DTE) is being developed and implemented. It provides Core Components that can be used by several DT applications from very diverse scientific domains. Applications using AI techniques can also benefit from advanced capabilities using minimal development. It also provides almost automatically generic features and capabilities. This DTE framework acts as an accelerator in order to rapidly develop user-oriented DT applications in diverse scientific domains.&amp;#160;In this presentation, the interTwin DTE will be presented, and it will be shown how it can be easily used to leverage an existing tool in order to create a DT application. Some results of the method applied on Global Coupled Climate Model datasets will be shown for several greenhouse gas scenarios, over Western Europe.This project (interTwin) has received funding from the European Union&amp;#8217;s Horizon Europe research and innovation programme under grant agreement N&amp;#176;101058386.","url":"https://doi.org/10.5194/egusphere-egu25-9922","authors":["Christian Pagé","Anne Durif","Paul Millar","Dijana Vrbanec","Matteo Bunino","Rakesh Sarma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-14T22:37:01Z","doi":"10.5194/egusphere-egu25-9922","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-981-97-6176-0_10","name":"Development of Digital Twin for Real-Time Monitoring and Virtual Commissioning Applications in an Assembly Line","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-6176-0_10","authors":["V. S. Yogesh","Arun Kumar","Sunil Jha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-27T09:47:33Z","doi":"10.1007/978-981-97-6176-0_10","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2026.2682042","name":"Digital twin-based optimal design method for industrial vibration isolation equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2682042","authors":["Yongli Wei","Shuai Yin","Fangfang Duan","Jinshi Liu","Weichao Luo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-05T12:02:26Z","doi":"10.1080/27525783.2026.2682042","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1049/pbhe046e_ch8","name":"Cloud security-enabled digital twin in e-healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch8","authors":["Prithi Samuel","K. Jayashree","R. Babu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch8","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/mele.2024.3423088","name":"Digital Twin for the Evaluation of Data-Driven-Based Dynamic Security Assessment of Noninterconnected Islands: Introducing digital twin on Rhodes Island","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mele.2024.3423088","authors":["Dimitris Lagos","Nikos Hatziargyriou","Aris Dimeas","George Sideratos","Theodora Anastopoulou","Theodora Patsaka"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-05T18:35:52Z","doi":"10.1109/mele.2024.3423088","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/27525783.2026.2675139","name":"A cross-domain functional software architecture model for industrial digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2675139","authors":["Pascale Vicat-Blanc","Fahad R. Golra","Antoine Beugnard","Damien Lamy","Thierry Coupaye","Emmanuelle Abisset-Chavanne"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-01T10:44:15Z","doi":"10.1080/27525783.2026.2675139","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5005/jp/books/11831_5","name":"Color Injection and Digital Angiography","source":"crossref","abstract":"","url":"https://doi.org/10.5005/jp/books/11831_5","authors":["Birgit Arabin","Ahmet Baschat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2013-11-06T04:21:50Z","doi":"10.5005/jp/books/11831_5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-981-99-0252-1_17","name":"Security Issues in Artificial Intelligence Use for Metaverse and Digital Twin Setups","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_17","authors":["Utku Kose"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1_17","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003281184-21","name":"Digital Twin Case Studies in Wind Turbines","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003281184-21","authors":["Nkosinathi Madushele","Obafemi O. Olatunji","Paul A. Adedeji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T08:48:27Z","doi":"10.1201/9781003281184-21","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3403/30482379u","name":"Internet of things (loT) - Digital twin � Use cases","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30482379u","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-16T21:30:26Z","doi":"10.3403/30482379u","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3403/30482379","name":"Internet of things (loT) - Digital twin � Use cases","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30482379","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-16T21:30:26Z","doi":"10.3403/30482379","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5220/0013082300003838","name":"Towards Developing an Ontology for a Digital Twin in Battery Testing","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013082300003838","authors":["Nuno Marques","Marco Rodrigues","Mannin Himanshu","Foad Gandoman"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T02:08:59Z","doi":"10.5220/0013082300003838","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/s00170-024-13788-1","name":"Digital twin-driven modeling and application of carbon emission for machine tool","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-024-13788-1","authors":["Chengchao Li","Weiwei Ge","Zixuan Huang","Qiongzhi Zhang","Hongcheng Li","Huajun Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-04T15:02:33Z","doi":"10.1007/s00170-024-13788-1","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/10426914.2023.2195905","name":"Fabricating TiAl alloys with various compositions by twin-wire arc AM","source":"crossref","abstract":"","url":"https://doi.org/10.1080/10426914.2023.2195905","authors":["Jun Xiong","Guangchao Liu","Yongsheng Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-03-28T06:26:52Z","doi":"10.1080/10426914.2023.2195905","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.2337/db24-1854-lb","name":"1854-LB: Predicting Insulin Timecourse in Prediabetes Individuals Using a Human Digital Twin Model","source":"crossref","abstract":"Individuals with early prediabetes often present with slight elevations or even normal glucose level. However, their insulin profiles are often dysregulated with either hyper- or hypoinsulinemia, suggesting insulin as a more sensitive biomarker for prediabetes detection. We developed a human digital twin that can predict an individual’s insulin time course and glycaemic status from an oral glucose tolerance test (OGTT) time-course. The model incorporates homeostatic processes such as insulin secretion and glucose uptake in adipose and muscles. The model was fed with individualized data such as age, BMI and OGTT glucose time-course to predict insulin profiles. Overlay of clinical and simulated glucose and insulin profiles can be seen in Figure 1. Insulin time-course, area-under-the-curve (AUC) and Matsuda Index were accurately predicted for three Chinese males, one healthy (subject 1), one exhibiting insulin insufficiency (subject 2) and one insulin resistance (subject 3). Fold-change of predicted to actual insulin AUC and Matsuda Index were all within 1.5 times. We demonstrated high accuracy of our model in predicting difficult-to-obtain insulin data using easily obtained glucose data. We envision more validation and use of our model to predict insulin-related metrics in different ethnicities and glycaemic status. Disclosure K. Hor Cheng: None.","url":"https://doi.org/10.2337/db24-1854-lb","authors":["KOH HOR CHENG","JAMES C. CHAN"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-14T05:46:53Z","doi":"10.2337/db24-1854-lb","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icemce64157.2024.10862695","name":"Research on high precision real-time digital twin model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icemce64157.2024.10862695","authors":["Zhangzhi Tao","Yulou Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-12T18:16:20Z","doi":"10.1109/icemce64157.2024.10862695","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.5380/atoz.v13i0.90016","name":"Digital Twin em cidades inteligentes no Brasil: revisão integrativa da literatura","source":"crossref","abstract":"Introdução/objetivo: O objetivo deste artigo é analisar a literatura acadêmica atual sobre smart cities (cidades inteligentes) no Brasil com evidências de aplicação da tecnologia Digital Twin (gêmeo digital) ou Digital Shadow (sombra digital). Método: A Revisão Integrativa da Literatura foi utilizada como instrumento de pesquisa, analisando nos artigos: a) objetivo; b) método de pesquisa; c) objeto de estudo (local); d) aplicação da Digital Twin ou Digital Shadow; e) Resultado e conclusões. Resultados: Portfólio com 25 artigos sobre o tema e a análise qualitativa quanto ao objetivo, método, local de estudo, tecnologia Digital Twin, Digital Shadow e resultados. Estudos com elementos da Digital Shadow são percebidos timidamente em dois casos de cidades inteligentes no Brasil. Conclusão: As tecnologias inteligentes das cidades devem ser centradas nos interesses dos usuários para não perder a sua humanidade. Cabe acrescentar que as necessidades das pessoas mudam e, com isso, as tecnologias inteligentes devem ter visão de futuro, com vistas a antecipar as necessidades das gerações futuras. A tecnologia Digital Twin é um modelo que pode contribuir neste sentido, monitorando e provendo a leitura de cenários futuros de cidades inteligentes.","url":"https://doi.org/10.5380/atoz.v13i0.90016","authors":["Thais Carrier Mendonça","António Lucas Soares","Vanessa Oliveira de Macêdo Cavalcanti","Gregorio Varvakis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-19T13:25:53Z","doi":"10.5380/atoz.v13i0.90016","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3139/104.112308","name":"The Digital Twin – A Critical Enabler of Industry 4.0","source":"crossref","abstract":"Abstract The Digital Thread gets established by spanning the Digital Twin across the enterprise and collect real time data from smart products along the lifecycle. This new level of insights and predictions, drive productivity improvements and the opportunities to introduce new business models. Engineering benefits from the real time information on product performance and machine component to design even better machines for improved customer satisfaction. The Digital Twin – a critical foundation of an Industry 4.0 digital transformation journey.","url":"https://doi.org/10.3139/104.112308","authors":["Thomas Ohnemus"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-04-07T03:02:18Z","doi":"10.3139/104.112308","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-71645-4_11","name":"A Digital Twin Framework for Flexible Manufacturing System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-71645-4_11","authors":["Mokhtar Nizar Sid-Lakhdar","Hichem Haddou Benderbal","Mehdi Souier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-07T21:02:18Z","doi":"10.1007/978-3-031-71645-4_11","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-2600-1669-5.ch001","name":"Human and Digital Twin Symbiosis in the Evolution of Cognitive Enterprises","source":"crossref","abstract":"This chapter explains the concept of human–digital twin symbiosis in the context of the evolution of cognitive organizations. As organizations move beyond mere digitalization, the need for a framework that structures the dynamic interaction between human cognition and computational intelligence has become increasingly apparent. In this paper, the layered architecture of the symbiotic organization, coevolutionary mechanisms, multi-agent dynamics, and decision intelligence logic are introduced. A staged maturity model for the transition to cognitive symbiosis is also presented. The results show that sustainable competitive advantage in the future lies not in complete automation, but in designing the evolutionary interaction between humans and digital twins.","url":"https://doi.org/10.4018/979-8-2600-1669-5.ch001","authors":["Hamed Nozari","Jaanavi Bakshi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-07T12:21:41Z","doi":"10.4018/979-8-2600-1669-5.ch001","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-21343-4_32","name":"Digital Twin for Healthcare and Lifesciences","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-21343-4_32","authors":["Patrick Johnson","Steven Levine","Cécile Bonnard","Katja Schuerer","Nicolas Pécuchet","Nicolas Gazères","Karl D’Souza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-21343-4_32","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/0951192x.2023.2278113","name":"Temperature monitoring system of friction stir welding based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2023.2278113","authors":["Xiaohong Lu","Zhuo Sun","Yihan Luan","Le Teng","Steven Y. Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-11-06T02:49:02Z","doi":"10.1080/0951192x.2023.2278113","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/0951192x.2023.2294460","name":"Digital twin-driven parameter change propagation path optimization for production line variant design","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2023.2294460","authors":["Douxi Yan","Jiafeng Yang","Ding Zhang","Jiewu Leng","Qiang Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-18T06:13:45Z","doi":"10.1080/0951192x.2023.2294460","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icercs63125.2024.10895607","name":"Revolutionizing Education through Digital Twin Technology: Key Techniques and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icercs63125.2024.10895607","authors":["Valarmathie P","Guruvarshni G"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-27T18:43:05Z","doi":"10.1109/icercs63125.2024.10895607","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/ei264398.2024.10990601","name":"Lightweight Digital Twin of Power Electronics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ei264398.2024.10990601","authors":["Jiangbin Tian","Guohui Zeng","Jinbin Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-15T17:30:27Z","doi":"10.1109/ei264398.2024.10990601","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/gcce62371.2024.10760916","name":"Improvement of Traffic Measurement AI by Utilizing Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcce62371.2024.10760916","authors":["Kengo Satsuki","Hideki Yaginuma","Shintaro Terabe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-10T19:47:28Z","doi":"10.1109/gcce62371.2024.10760916","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.3901/jme.2024.22.415","name":"Rapid Pose Adjustment Approach for Large Antenna Assembly Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.2024.22.415","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-19T03:15:36Z","doi":"10.3901/jme.2024.22.415","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1007/978-3-031-57534-1","name":"Human Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-57534-1","authors":["Samuel D. Okegbile","Jun Cai","Changyan Yi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T03:38:27Z","doi":"10.1007/978-3-031-57534-1","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/tpel.2023.3271848/mm1","name":"A Digital Twin System of Capacitive DC Bank Using Rogowski Coil to Monitor Individual Capacitors_supp1-3271848.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tpel.2023.3271848/mm1","authors":["Yi Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-24T13:45:19Z","doi":"10.1109/tpel.2023.3271848/mm1","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.23977/jemm.2024.090304","name":"Health Prediction of Integrated Die-Casting Machine Driven by Digital Twin and CNN-LSTM","source":"crossref","abstract":"","url":"https://doi.org/10.23977/jemm.2024.090304","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-15T13:24:01Z","doi":"10.23977/jemm.2024.090304","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/ciced63421.2024.10754553","name":"Digital Twin Based Distributed Cooperative Frequency Control of Islanded Microgrids","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ciced63421.2024.10754553","authors":["Chang Su","Wei Liu","Yajie Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-22T18:53:00Z","doi":"10.1109/ciced63421.2024.10754553","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/ict62760.2024.10606116","name":"Developing an IoT-Enabled Digital Twin for Enhanced Industrial Refrigeration System Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ict62760.2024.10606116","authors":["Zachary Nelson","Amal Alhosban"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-30T17:51:06Z","doi":"10.1109/ict62760.2024.10606116","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/ieeeconf60004.2024.10942924","name":"Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeeconf60004.2024.10942924","authors":["Shuaifeng Jiang","Ahmed Alkhateeb"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-04T18:20:20Z","doi":"10.1109/ieeeconf60004.2024.10942924","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/vtc2024-fall63153.2024.10757774","name":"Mobility-Adaptive Digital Twin Modeling for Post-Disaster Network Traffic Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757774","authors":["Dong Jia","Qiang John Ye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-10T14:44:30Z","doi":"10.1109/vtc2024-fall63153.2024.10757774","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.61557/etsq9929","name":"What is a digital twin?","source":"crossref","abstract":"","url":"https://doi.org/10.61557/etsq9929","authors":["Sophie McKee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-22T18:56:36Z","doi":"10.61557/etsq9929","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1049/pbhe046e_ch9","name":"Digital twin in prognostics and health management system","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch9","authors":["S. Malathy","C.N. Vanitha","Rajesh Kumar Dhanaraj"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch9","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/bs.adcom.2019.09.006","name":"Digital twin: The industry use cases","source":"crossref","abstract":"","url":"https://doi.org/10.1016/bs.adcom.2019.09.006","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-01-28T04:03:19Z","doi":"10.1016/bs.adcom.2019.09.006","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.15199/48.2024.11.15","name":"A Digital Twin Based Real-Time Augmented Vision System Approach for Healthcare Applications","source":"crossref","abstract":"","url":"https://doi.org/10.15199/48.2024.11.15","authors":["Alumuru Reddy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-06T08:55:11Z","doi":"10.15199/48.2024.11.15","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/iccc62479.2024.10681701","name":"AoDT-Driven Updating Mechanism for UGV-Assisted Reality Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc62479.2024.10681701","authors":["Mingduo Sun","Jianhua Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T17:22:03Z","doi":"10.1109/iccc62479.2024.10681701","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icccnt61001.2024.10724642","name":"Quantum and AI-Enhanced Digital Twin Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccnt61001.2024.10724642","authors":["David M. Braga","Bharat S Rawal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-04T23:06:46Z","doi":"10.1109/icccnt61001.2024.10724642","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.procir.2024.03.021","name":"The Digital Twin - a production-related review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.03.021","authors":["Jan Molter","Max Eichenwald","Rainer Müller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T11:53:56Z","doi":"10.1016/j.procir.2024.03.021","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/phm61473.2024.00073","name":"Digital Twin-driven Condition Monitoring: Development for Ball Screw Feed Drive Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/phm61473.2024.00073","authors":["Himanshu Gupta","Pradeep Kundu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-17T18:47:12Z","doi":"10.1109/phm61473.2024.00073","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.procs.2024.06.058","name":"Digital twin (DT)-based predictive maintenance of a 6G communication network","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2024.06.058","authors":["Franck Muteba"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-08T11:54:28Z","doi":"10.1016/j.procs.2024.06.058","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/mercon63886.2024.10688982","name":"Digital Twin Technology in Apparel Industry: Potential for Rebalancing of Manual Assembly Lines","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mercon63886.2024.10688982","authors":["Dinusha T. Bandara","Chanaka Senanayake"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-30T17:24:20Z","doi":"10.1109/mercon63886.2024.10688982","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icc51166.2024.10622790","name":"Multi-Agent Reinforcement Learning-Based Digital Twin Migration Over Wireless Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622790","authors":["Zhixiong Chen","Wenqiang Yi","Arumugam Nallanathan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-20T15:34:42Z","doi":"10.1109/icc51166.2024.10622790","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/wsc63780.2024.10838742","name":"Digital Twin Validation with Multi-Epoch, Multi-Variate Output Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838742","authors":["Linyun He","Luke Rhodes-Leader","Eunhye Song"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838742","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/isap63260.2024.10744374","name":"Digital Twin for Resilient Power Distribution Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isap63260.2024.10744374","authors":["Baza Somda","Chen-Ching Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-08T13:36:14Z","doi":"10.1109/isap63260.2024.10744374","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00016-0","name":"Potential applications of digital twin in medical care","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00016-0","authors":["Kaouther Abrougui","Hazim Dahir","Ahmed Khattab","Jeff Luna","Raj Kumar","Rashika Verma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:37:56Z","doi":"10.1016/b978-0-32-399163-6.00016-0","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1049/pbte109e_ch3","name":"AI-enabled data management for digital twin networks","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbte109e_ch3","authors":["Elif Ak","Gökhan Yurdakul","Ahmed Al-Dubai","Berk Canberk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-11T08:08:33Z","doi":"10.1049/pbte109e_ch3","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.dte.2025.100053","name":"Digital twin phases and futures","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.dte.2025.100053","authors":["Michael Grieves"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-23T02:04:40Z","doi":"10.1016/j.dte.2025.100053","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1061/9780784485606.ch4","name":"Digital Twin–Based Ergonomic Risk Assessment Framework for Maintenance Technicians in Near Real Time","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485606.ch4","authors":["Milad Sadat-Mohammadi","Somayeh Asadi","Houtan Jebelli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-23T09:12:36Z","doi":"10.1061/9780784485606.ch4","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1080/21693277.2024.2428249","name":"Digital twins for environmentally sustainable and circular manufacturing sector: visions from industry professionals","source":"crossref","abstract":"","url":"https://doi.org/10.1080/21693277.2024.2428249","authors":["Mira Timperi","Kirsi Kokkonen","Lea Hannola"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-13T10:58:58Z","doi":"10.1080/21693277.2024.2428249","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icecet61485.2024.10698583","name":"Digital Twin Frameworks: A Comparative Study of AAS, OPC UA, and AML","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet61485.2024.10698583","authors":["Alfred Barnard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-08T17:33:15Z","doi":"10.1109/icecet61485.2024.10698583","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003469612-5","name":"The Convergence of Data Analytics, Digital Twins, and the IoT/IIoT","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-5","authors":["S. Geerthik","N. Vel Murugesh Kumar","P. V. Gopirajan","B. Jaison"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-5","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00005-0","name":"Digital twin model creation of double mass spring damper system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00005-0","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:54Z","doi":"10.1016/b978-0-12-821631-6.00005-0","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/bs.adcom.2019.09.010","name":"Digital twin in consumer choice modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/bs.adcom.2019.09.010","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-01-28T04:03:21Z","doi":"10.1016/bs.adcom.2019.09.010","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-3373-7785-8.ch011","name":"Integrating Digital Twin Technology Into V2X Communication","source":"crossref","abstract":"The fast evolution of connected cars and autonomous cars demands intelligent transportation systems that can handle high amounts of real-time data. Nevertheless, conventional Vehicle-to-Everything communication systems have weaknesses of low predictivity, latency, interoperability difficulties, and poor traffic control. To mitigate these problems, this chapter examines the application of the Digital Twin technology in conjunction with V2X communication to facilitate real-time monitoring, and predictive analysis. DT-V2X framework provides data-driven virtual models of vehicles, road infrastructure, and communication networks. It combines IoT sensors, edge and cloud computing and AI-based predictive analytics to align the physical transportation environments with their digital equivalents. The framework aims at assessing traffic behavior via simulation and real time data analysis. The expected outcomes include improved road safety, enhanced traffic flow, reduced communication latency, and energy-efficient mobility, contributing to more sustainable intelligent transportation systems.","url":"https://doi.org/10.4018/979-8-3373-7785-8.ch011","authors":["Swati Jaiswal","Prachi Joshi","Spandan Surdas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T15:49:29Z","doi":"10.4018/979-8-3373-7785-8.ch011","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003686736-7","name":"Digital Twin for Gear Pitting and Profile Change Monitoring and Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003686736-7","authors":["Ke Feng","Qing Ni","Hanbin Zhou"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-21T14:49:34Z","doi":"10.1201/9781003686736-7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1117/12.3033254","name":"Design and implementation of laser atmospheric transmission digital twin software system","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3033254","authors":["Weikuo Zhang","Xianmei Qian","Wenyue Zhu","Yingjian Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T16:50:27Z","doi":"10.1117/12.3033254","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icsmartgrid61824.2024.10578257","name":"Enhancing Cybersecurity of a Hydroelectric Power Plant Using Its Digital Twin Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsmartgrid61824.2024.10578257","authors":["İsmail Erkek","Erdal Irmak"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-03T13:26:59Z","doi":"10.1109/icsmartgrid61824.2024.10578257","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/iccworkshops59551.2024.10615652","name":"Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops59551.2024.10615652","authors":["João Morais","Ahmed Alkhateeb"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-12T17:23:42Z","doi":"10.1109/iccworkshops59551.2024.10615652","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch014","name":"Designing Digital Twin-Driven Lifelong Learning Ecosystems","source":"crossref","abstract":"With 44% of workers' core skills facing disruption within five years, lifelong learning has become a critical imperative that traditional educational models cannot meet. This chapter proposes the Digital Twin-Driven Lifelong Learning System (DT-LLS), a novel five-layer framework operationalizing digital twin technology across the full human learning continuum. Grounded in a 2020–2026 literature synthesis, it targets five critical gaps: absent lifelong twin continuity, siloed learning contexts, unvalidated ethical governance, unproven scalability, and underdeveloped affective modeling. Five interoperable layers Learner Data Acquisition, Human Digital Twin Modeling, Adaptive Intelligence Engine, Learning Delivery Interface, and Continuous Evolution Loop integrate xAPI standards, Deep Knowledge Tracing, federated learning, and ontologies aligned to ESCO and Industry 5.0. Six principles govern implementation: learner sovereignty, context agnosticism, progressive fidelity, transparency, equitable design, and human-AI complementarity. A seven-direction research agenda is also provided.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch014","authors":["Ankita Priti Roy","Arti Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch014","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1061/9780784485606.ch7","name":"Digital Twin Applications for Building Energy and Carbon Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485606.ch7","authors":["Haibo Feng","Sara Abbasian","Qian Chen","Borja Garcia de Soto","Kasun Hewage"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-23T09:12:36Z","doi":"10.1061/9780784485606.ch7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003425724-35","name":"Development of the Digital Twin for the Ultraprecision Diamond Turning System and Its Application Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003425724-35","authors":["Ning Gou","Shangkuan Liu","David Christopher","Kai Cheng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T23:47:25Z","doi":"10.1201/9781003425724-35","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.23919/date51398.2021.9474166","name":"Cognitive Digital Twin for Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.23919/date51398.2021.9474166","authors":["Mohammad Abdullah Al Faruque","Deepan Muthirayan","Shih-Yuan Yu","Pramod P. Khargonekar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-24T18:11:46Z","doi":"10.23919/date51398.2021.9474166","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/swc62898.2024.00316","name":"Enhancing AEB Systems with Digital Twin Evaluation in Urban Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00316","authors":["Yifan Wang","Silvia Thal","Jannes Iatropoulos","Roman Henze"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00316","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/aiiot61789.2024.10579017","name":"Agriculture 5.0 Cybersecurity: Monitoring Agricultural Cyber Threats with Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiiot61789.2024.10579017","authors":["Kossi Bissadu","Gahangir Hossain","Prashant Vajpayee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-10T13:21:40Z","doi":"10.1109/aiiot61789.2024.10579017","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4324/9781032693415-9","name":"Materials science and ontologies","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-9","authors":["Jesper Friis","Gerhard Goldbeck","Sylvain Gouttebroze","Francesca Lønstad Bleken","Emanuele Ghedini"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-9","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1109/icsece61636.2024.10729487","name":"A Strabismus Detection System Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsece61636.2024.10729487","authors":["Guohua Xiong","Xianfeng Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-29T17:28:51Z","doi":"10.1109/icsece61636.2024.10729487","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1201/9781003507390-7","name":"Blockchain Implementation in IoT-Digital Twin-Based Crop Production","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003507390-7","authors":["Ushaa Eswaran","Vivek Eswaran","Keerthna Murali","Vishal Eswaran"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-05T18:47:44Z","doi":"10.1201/9781003507390-7","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.001Z"},{"id":"doi:10.1016/j.ijpx.2026.100575","name":"Stabilization strategies and advancements in lyophilization to preserve integrity and efficacy of next-generation biologicals.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpx.2026.100575","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ijpx.2026.100575","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/ma18235330","name":"An Editorial for Mechanical Performance and Microstructural Characterization of Light Alloys (2nd Edition).","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18235330","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18235330","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fimmu.2026.1770222","name":"Plying potency assays for immunotherapy of solid tumors.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fimmu.2026.1770222","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3389/fimmu.2026.1770222","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-025-17517-w","name":"Mapping interconnectivity of digital twin healthcare research themes through structural topic modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-17517-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-17517-w","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/polym18050658","name":"Investigation on Ontology-Driven Semantic Simulation of PVC Composite Sustainable Manufacturing: Lifecycle Assessment Approach and Industrial Case Study with Reinforced Agro-Industrial Waste Fillers.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym18050658","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/polym18050658","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s25206473","name":"Advancing Circular Economy Implementation for High-Speed Train Rolling Stocks by the Integration of Digital Twins and Artificial Intelligence.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25206473","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25206473","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/polym18050607","name":"Toward High-Value Circular Pathways for Polymer Waste: Process-Structure-Property Strategies in Mechanical Recycling, Filament Re-Extrusion, and Additive Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym18050607","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/polym18050607","addedAt":"2026-09-01T01:47:45.001Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3389/fdgth.2025.1583466","name":"Digital twin for personalized medicine development.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdgth.2025.1583466","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fdgth.2025.1583466","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-026-45550-w","name":"Security evaluation framework for cloud ERP systems using NIST and ISO standards.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45550-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-45550-w","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1038/s41598-026-38930-9","name":"The mechanism and impact of digital transformation on supply chain resilience in the manufacturing industry.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-38930-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-38930-9","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/s25165100","name":"Towards Maintenance 5.0: Resilience-Based Maintenance in AI-Driven Sustainable and Human-Centric Industrial Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25165100","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25165100","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s25164899","name":"Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25164899","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25164899","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma18245556","name":"Special Issue \"Recent Developments in Bio-Based Particleboards and Fiberboards\".","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18245556","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18245556","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-025-17855-9","name":"Interactive digital twins enabling responsible extended reality applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-17855-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-17855-9","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/fbioe.2025.1563878","name":"CGT 4.0: a distant dream or inevitable future? Smart process automation is critical to make efficient scalability of CGT manufacturing a reality.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbioe.2025.1563878","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fbioe.2025.1563878","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1002/cre2.70361","name":"Flexural Strength, Monomer Release, and Wear of Occlusal Splint Materials Fabricated Through Conventional, Milled, or 3D-Printed Methods.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/cre2.70361","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/cre2.70361","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0336617","name":"Programming Mat-Poka-yoke system control effect of unsteady convection-diffusion behavior for plastic manufacturing mathematically.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0336617","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0336617","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/e28020151","name":"Mathematical and Algorithmic Advances in Machine Learning for Statistical Process Control: A Systematic Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28020151","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/e28020151","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/mi16111203","name":"Advanced Triboelectric Nanogenerators for Smart Devices and Emerging Technologies: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi16111203","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/mi16111203","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0343275","name":"Artificial intelligence-based digital transformation and environmental sustainability.","source":"europepmc","abstract":"AI's rapid growth presents significant potential for enhancing environmental sustainability and driving digital transformation across various sectors. AI applications are scattered, uneven data integration is complex, and defined metrics are lacking, limiting its ability to support sustainable practices. In search of a holistic and interoperable solution, this study suggests Green AI, an innovative framework that blends AI, blockchain, and the IoT to address sustainability issues. This work aims to provide a scalable and secure architecture that enhances energy efficiency, reduces carbon emissions, and improves environmental monitoring accuracy. Green AI utilizes blockchain to securely manage real-time data from smart grids, environmental sensors, and energy markets via IoT devices, ensuring energy transaction transparency and accountability. Advanced machine learning algorithms maximize renewable energy integration and estimate energy demand, enabling proactive decision-making. Its unified design improves energy system sustainability and provides a reproducible model for cost-effective resource management, making this study unique. The Green AI framework guides academics, policymakers, and industry stakeholders in utilizing intelligent technology for sustainable development, thereby creating a greener and more resilient future.","url":"https://doi.org/10.1371/journal.pone.0343275","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0343275","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-026-37926-9","name":"Nonlinear relationship between innovation input and intelligent manufacturing from an absorptive capacity perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-37926-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-37926-9","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26113552","name":"Infrared Imaging for Autonomous Power Inspection: A Review from Detector to System Integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113552","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113552","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/polym17182557","name":"Data-Driven Optimization of Discontinuous and Continuous Fiber Composite Processes Using Machine Learning: A Review.","source":"europepmc","abstract":"This paper surveys the application of machine learning in fiber composite manufacturing, highlighting its role in adaptive process control, defect detection, and real-time quality assurance. First, the need for ML in composite processing is highlighted, followed by a review of data-driven approaches-including predictive modeling, sensor fusion, and adaptive control-that address material heterogeneity and process variability. An in-depth analysis examines six case studies, among which are XPBD-based surrogates for RL-driven robotic draping, hyperspectral imaging (HSI) with U-Net segmentation for adhesion prediction, and CNN-driven surrogate optimization for variable-geometry forming. Building on these insights, a hybrid AI model architecture is proposed for natural-fiber composites, integrating a physics-informed GNN surrogate, a 3D Spectral-UNet for defect segmentation, and a cross-attention controller for closed-loop parameter adjustment. Validation on synthetic data-including visualizations of HSI segmentation, graph topologies, and controller action weights-demonstrates end-to-end operability. The discussion addresses interpretability, domain randomization, and sim-to-real transfer and highlights emerging trends such as physics-informed neural networks and digital twins. This paper concludes by outlining future challenges in small-data regimes and industrial scalability, thereby providing a comprehensive roadmap for ML-enabled composite manufacturing.","url":"https://doi.org/10.3390/polym17182557","authors":["Ivan Malashin","Dmitry Martysyuk","В С Тынченко","Andrei Gantimurov","Vladimir Nelyub","А. С. Бородулин"],"tags":["Computer science","Process (computing)","Segmentation","Composite number","Artificial intelligence"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/polym17182557","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s25164963","name":"Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25164963","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25164963","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26030762","name":"Advanced Sensor Technologies in Cutting Applications: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26030762","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26030762","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/polym17192612","name":"Ontology-Based Modelling and Analysis of Sustainable Polymer Systems: PVC Comparative Polymer and Implementation Perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym17192612","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/polym17192612","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/polym17233228","name":"Development of 3D Printing Filament from Poly(Lactic Acid) and Cassava Pulp Composite with Epoxy Compatibilizer.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym17233228","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/polym17233228","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/bioengineering13040386","name":"Treatment of Severe Atrophy with Juxta-Osseous Implants: A Systematic Review and Case Report.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bioengineering13040386","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/bioengineering13040386","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0325152","name":"Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0325152","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0325152","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1177/14614448251338280","name":"Urban digital twins: Digital twins for participatory steering.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/14614448251338280","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1177/14614448251338280","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1109/tcyb.2024.3471608","name":"Digital-Twin Predictive Control of Nonlinear Systems With Time Delays, Unknown Dynamics, and Communication Delays.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2024.3471608","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1109/tcyb.2024.3471608","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma18235287","name":"Structural Integrity Enhancement and Sustainable Machining Process Optimization for Anti-Lock Braking System Hydraulic Valve Blocks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18235287","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18235287","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1177/14614448251336420","name":"The geo-politics of resilience: On the historical convergence between ecology, artificial intelligence, and corporate strategy.","source":"europepmc","abstract":"Today, few terms are more central to policy, planning, or economics than the term \"resilience.\" From urban planning to twining the earth systems, we have come to understand systems as constantly in a state of crisis that needs perpetual management. This article traces the rise of resilience as a dominant epistemology and practice in environmental management, logistics, demography, and energy. I will argue that resilience has become the dominant discourse by which time and uncertainty are currently being managed in the wake of post-World War II decolonization, generating new techniques such as digital twinning and generative artificial intelligence (AI). Moreover, resilience has become a new logic making the planet, and its living populations, computationally measurable and representable, and amenable to new forms of technical manipulation and action.","url":"https://doi.org/10.1177/14614448251336420","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1177/14614448251336420","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1002/bit.70093","name":"Self-Driving Development of Perfusion Processes for Monoclonal Antibody Production.","source":"europepmc","abstract":"The development of autonomous agents in bioprocess development is crucial for advancing biopharma innovation. Time and resources required to develop and transfer a process for clinical material generation can be significantly decreased. While robotics and machine learning have greatly accelerated drug discovery and initial screening, the later stages of development have primarily benefited from experimental automation, lacking advanced computational tools for experimental planning and execution. For example, in the development of new monoclonal antibodies, the search for optimal upstream conditions (such as feeding strategy, pH, temperature, and media composition) is often conducted using sophisticated high-throughput (HT) mini-bioreactor systems, while the integration of machine learning tools for experimental design and operation in these systems have not matured accordingly. In this work, we developed an integrated user-friendly software framework that combines a Bayesian experimental design (BED) algorithm and a cognitive digital twin of the cultivation system. This framework is digitally linked to an advanced 24-parallel mini-bioreactor perfusion platform. This results in an autonomous experimental machine capable of: (1) embedding existing process knowledge, (2) learning during experimentation, (3) utilizing information from similar processes, (4) predicting future events, and (5) autonomously operating the parallel bioreactors to achieve challenging objectives. As proof of concept, we present experimental results from a 27 day-long cultivation including 20-days operated by the autonomous software agent, which successfully achieved challenging goals such as increasing the viable cell volume (VCV) and maximizing the viability throughout the experiment.","url":"https://doi.org/10.1002/bit.70093","authors":["Chethana Janardhana Gadiyar","Claudio Müller","Thomas Vuillemin","Jean‐Marc Bielser","Jonathan Souquet","Alessandro Fagnani","Michael Sokolov","Moritz von Stosch","Fabian Feidl","Alessandro Butté","Mariano Nicolás Cruz Bournazou"],"tags":["Bioprocess","Computer science","Process (computing)","Artificial intelligence","Process development"],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025-12-12","doi":"10.1002/bit.70093","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"doi:10.1016/j.ajps.2026.101144","name":"Advances in nanotechnology for the diagnosis and management of autoimmune diseases.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ajps.2026.101144","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.ajps.2026.101144","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma18102255","name":"Smart Manufacturing for High-Performance Materials: Advances, Challenges, and Future Directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18102255","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18102255","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26123898","name":"Towards Fault-Tolerant AGV Task Scheduling in Flexible Manufacturing Systems Using a Tree-Based Max-Plus Predictive Approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123898","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26123898","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.dib.2025.112433","name":"Dataset of ultrasonic frequency - domain signals and machine - learning outputs for parameterising lithium - ion battery electrodes' coating and calendering processes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2025.112433","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.dib.2025.112433","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/pharmaceutics18060755","name":"An Overview of Advanced Materials and Manufacturing Strategies for 3D-Printed Bioengineered Vascular Stents: Toward Next-Generation Drug Delivery Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/pharmaceutics18060755","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/pharmaceutics18060755","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1186/s13000-025-01679-2","name":"Digital twin manifesto for the pathology laboratory.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13000-025-01679-2","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1186/s13000-025-01679-2","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma18112466","name":"Advanced Non-Destructive Testing Simulation and Modeling Approaches for Fiber-Reinforced Polymer Pipes: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18112466","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18112466","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s25237142","name":"XGBoost-Based Digital Twin Model for Predicting Trajectory Errors in a Hexapod Coordinated Machining System Using Positioning Accuracy and Vibration Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25237142","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25237142","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-025-25590-4","name":"Adaptive fault tolerance mechanisms for ensuring high availability of digital twins in distributed edge computing systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25590-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-25590-4","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.jacbts.2024.08.002","name":"The Use of Digital Healthcare Twins in Early-Phase Clinical Trials: Opportunities, Challenges, and Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jacbts.2024.08.002","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1016/j.jacbts.2024.08.002","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-024-82590-6","name":"A smart manufacturing paradigm for robotic welding process optimization through machine learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-82590-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-024-82590-6","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/fbioe.2025.1717576","name":"Toward virtual bladder: real-time bladder volume monitoring with flexible AuCNT strain sensors.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fbioe.2025.1717576","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fbioe.2025.1717576","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma19010089","name":"Monitoring and Control of the Direct Energy Deposition (DED) Additive Manufacturing Process Using Deep Learning Techniques: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19010089","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma19010089","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1177/14604582241296792","name":"Architecture designing of digital twin in a healthcare unit.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/14604582241296792","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1177/14604582241296792","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.ijpharm.2024.124796","name":"Development of a high-fidelity digital twin using the discrete element method for a continuous direct compression process. Part 1. Calibration workflow.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2024.124796","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1016/j.ijpharm.2024.124796","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41467-025-65234-9","name":"Achieving improved mechanical performance in aluminum matrix composites with rebar-reinforced concrete-inspired structures.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-65234-9","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41467-025-65234-9","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/foods15061081","name":"Digital and Green Technological Drivers of Transformation in the Agri-Food Sector.","source":"europepmc","abstract":"The agri-food sector is undergoing a profound transformation driven by the combined pressures of climate change, resource scarcity, policy frameworks, and evolving consumer expectations. In this context, digital and green technologies have emerged as key enablers of more sustainable, transparent, and resilient food systems. This review provides a comprehensive overview of the conceptual foundations, technological drivers, and policy frameworks shaping the digital and green transition of the agri-food sector. Digital technologies-including precision agriculture, sensing and data acquisition systems, artificial intelligence, blockchain, and data platforms-are examined in relation to their role in improving resource-use efficiency, traceability, and decision-making across the food value chain. In parallel, green technologies and sustainable practices in food production, processing, and waste management are discussed, with emphasis on resource optimization, circular economy approaches, and environmental impact reduction. This review further highlights the role of European and global policy frameworks, such as the European Green Deal and the Farm to Fork strategy, in steering technological adoption and aligning innovation with sustainability objectives. By synthesizing technological, environmental, and policy perspectives, this work underscores the importance of integrated digital-green strategies for achieving long-term sustainability, competitiveness, and resilience in agri-food systems.","url":"https://doi.org/10.3390/foods15061081","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/foods15061081","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41467-025-66082-3","name":"Fluorine-free binder-based dry thick electrodes with Parafilm&lt;sup&gt;®&lt;/sup&gt; M toward sustainable and efficient battery manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-66082-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41467-025-66082-3","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-024-71107-w","name":"Fault diagnosis method for oil-immersed transformers integrated digital twin model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-71107-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1038/s41598-024-71107-w","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1007/s10278-025-01597-1","name":"Digital Twin Technology In Radiology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10278-025-01597-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s10278-025-01597-1","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0327592","name":"A generic method for PLC control system design based on Digital Twin.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0327592","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0327592","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1186/s13021-026-00411-x","name":"Digital innovation and carbon intensity: Dual mediating role of technological spillover and industrial agglomeration.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13021-026-00411-x","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s13021-026-00411-x","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1039/d5ra09898j","name":"Green manufacturing of amoxicillin trihydrate: a malic acid-assisted crystallization framework enhanced by Taguchi-ANN optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1039/d5ra09898j","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1039/d5ra09898j","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma19112356","name":"Fused Deposition Modeling of Polymer-Based Magnetic Composites from Recycled Permanent Magnets of Discarded Hard Drives.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19112356","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19112356","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0332449","name":"Constructing a digital twin maturity assessment framework for the building construction phase based on an improved matter-element model: A case study of a construction project in Xinyang, China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0332449","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0332449","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ani16111753","name":"Emerging Trends in Pet Food: Scientific Innovations, Patent Landscapes, and Global Market Development.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ani16111753","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ani16111753","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.fochx.2026.103654","name":"Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.fochx.2026.103654","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1016/j.fochx.2026.103654","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.psj.2025.105497","name":"Digital twin in poultry production: A framework for enhancing workforce to job market readiness.","source":"europepmc","abstract":"The integration of advanced technologies in agricultural education is essential to bridging the gap between theoretical knowledge and practical application. Digital twin (DT) technology stands out as a promising tool for simulating complex environments such as poultry farms, offering students immersive opportunities to engage with farm management processes without the need for physical presence in live production settings. This study explores the potential of DT-based virtual simulations to enhance student learning experiences and engagement in poultry farm management within higher education programs, while also examining their role in preparing graduates for the job market and influencing student enrollment in poultry science disciplines. A qualitative descriptive approach was adopted, including a review of relevant literature, to evaluate the impact of DT technology on various aspects of animal production, poultry science, and educational practices in higher education institutions. The findings reveal that incorporating DT into poultry-related academic programs creates interactive, safe environments where students can participate in activities such as ventilation control, feeding, disease monitoring, and performance analysis. These simulations contribute to deeper cognitive understanding, improved decision-making skills, and heightened motivation among current students, while equipping graduates with high-level competencies suited to a competitive labor market. Furthermore, the use of DT technology is expected to have a positive impact on students' perceptions, making poultry science programs more attractive and accessible. Based on these insights, the study recommends the systematic integration of DT technology into poultry science curricula and programs, given its powerful role in enhancing interactive learning, stimulating student interest, bridging the gap between theory and practice, improving graduate readiness for the job market, and increasing student enrollment through an engaging and realistic educational experience.","url":"https://doi.org/10.1016/j.psj.2025.105497","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.psj.2025.105497","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41598-025-25413-6","name":"Leveraging artificial intelligence for smart production management in industry 4.0.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25413-6","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-25413-6","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41597-025-06282-0","name":"5G High Density Demand Dataset in Liverpool City Region, UK.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-025-06282-0","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41597-025-06282-0","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/bioengineering12090938","name":"A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bioengineering12090938","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/bioengineering12090938","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1007/s40820-025-02056-w","name":"Integrated Circuits on Fiber Substrates: State-of-the-Art System-on-Fiber Technologies for Smart Textiles and Wearables.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s40820-025-02056-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1007/s40820-025-02056-w","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma19102072","name":"Advances in Metal Microstructure Simulation and Analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19102072","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19102072","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/ma19112314","name":"Industrial-Scale Injection Moulding Validation of Recycled Fiber-Reinforced Polypropylene: Processability and Manufacturing Feasibility.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19112314","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/ma19112314","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/mi16121339","name":"Research Progress on Personalized Bone Implants Based on Additive Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi16121339","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/mi16121339","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26051603","name":"Risks Related to Advanced Bridge Monitoring Technologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051603","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26051603","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26051672","name":"Advancing Structural Health Monitoring: Accurate PCB Design for IoT-Based Real-Time Damage Detection with Digital Twin Integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051672","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26051672","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1371/journal.pone.0351061","name":"Research on the impact of artificial intelligence on the export technological complexity of chinese manufacturing enterprises: An analysis based on mediating effects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0351061","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1371/journal.pone.0351061","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1038/s41746-024-01220-7","name":"Digital twins in dermatology, current status, and the road ahead.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41746-024-01220-7","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1038/s41746-024-01220-7","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1126/sciadv.adr7571","name":"Continuous-time digital twin with analog memristive neural ordinary differential equation solver.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.adr7571","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1126/sciadv.adr7571","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1002/jeo2.70283","name":"Optimizing operating room efficiency in robotic-assisted total knee arthroplasty through manufacturing efficiency principles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/jeo2.70283","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1002/jeo2.70283","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1186/s12919-026-00366-4","name":"Proceedings of the 3rd edition of the International e-Health Forum 2024.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12919-026-00366-4","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1186/s12919-026-00366-4","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3389/fmed.2025.1679611","name":"Reimagining drug regulation in the age of AI: a framework for the AI-enabled Ecosystem for Therapeutics.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmed.2025.1679611","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3389/fmed.2025.1679611","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1126/sciadv.aec4197","name":"Toward autonomous robotic-assisted and microrobotic surgery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.aec4197","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1126/sciadv.aec4197","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/gels12030245","name":"Poly(Ionic Liquids) and Ionogels for Electrochromic Devices: Material Design and Additive Manufacturing Strategies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/gels12030245","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/gels12030245","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.1016/j.ijpharm.2024.124797","name":"Development of a high-fidelity digital twin using the discrete element method for a continuous direct compression process. Part 2. Validation of calibration workflow.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2024.124797","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2024","doi":"10.1016/j.ijpharm.2024.124797","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/biomedicines14051102","name":"Stem Cell Therapies for Gastrointestinal and Liver Diseases: Translational Barriers, Clinical Heterogeneity, and Future Directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomedicines14051102","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/biomedicines14051102","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.3390/s26113570","name":"5G/6G Networks for Wireless Communication and IoT.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113570","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.3390/s26113570","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"doi:10.2139/ssrn.3772965","name":"COVID-19 and Comparative Corporate Governance","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3772965","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3772965","addedAt":"2026-09-01T01:47:45.002Z","updatedAt":"2026-09-01T01:47:45.861Z"},{"id":"oa:W4402632655","name":"Application of Digital Twin Combined LSSVM Algorithm in Control Loop State Monitoring","source":"openalex","abstract":"The high-pressure water level control system is essential for controlling the economic benefits of power plants. The study aimed to explore the utilization of digital twin technology combined with least squares support vector machine (LSSVM) in control loop state monitoring. By constructing digital twin models and applying LSSVM, we aimed to achieve high-precision monitoring of the control system states and facilitate effective prediction of abnormal situations. During model training and error testing, the outcomes demonstrated that the model could accurately match the sample data, and the output error of the model was primarily concentrated in the [-0.1, 0.1] interval. In the case of changes in system characteristics, the model effectively adapted and maintained a low mean square error via the introduction of an online update strategy. The model exhibited a good fit and prediction accuracy for the specific monitoring of the water level control circuit of a high pressure heater. The effectiveness of the model was further validated through measurements of the water level process at different time periods. Thus, this study demonstrated the effectiveness and feasibility of combining digital twins and LSSVM in control system monitoring. The proposed method facilitated cost reduction and efficiency increase in power plants, thereby promoting their production and development level.","url":"https://doi.org/10.1541/ieejjia.24004311","authors":["Zhipeng Yu"],"tags":["Computer science","Loop (graph theory)","State (computer science)","Control theory (sociology)","Algorithm"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-19","doi":"https://doi.org/10.1541/ieejjia.24004311","addedAt":"2026-09-01T01:47:45.212Z","updatedAt":"2026-09-01T01:47:45.212Z"},{"id":"oa:W4287136021","name":"Digital Twins as Key Technology in Industry 4.0","source":"openalex","abstract":"Teknolojik icatlar, düşünsel bir geçmiş ile sosyo-ekonomik ve işlevsel bir geleceğin birleşimidirler.Teknoloji alanındaki ilerlemeler ve teknolojik buluşlar sayesinde üretim sürekli gelişmiş ve bu gelişim sürecinde üç büyük devrim görmüştür.Bu devrimlerin gerçekleşmesinin altında yatan teknolojiler üretimin ilerlemesinde katalizör görevi üstlenmişlerdir.Teknolojideki ilerlemeler hızlandığında üretim alanında teknolojik baskılara neden olmuş bu baskılar da devrimlerin gerçekleşmesine yol açmıştır.Siber-fiziksel sistemler, bulut teknolojileri, nesnelerin interneti, büyük veri, sanal gerçeklik, yapay zeka ve 3 boyutlu yazıcı teknolojileri gibi Endüstri 4.0'ın bileşeni olarak kabul edilen yeni teknolojiler de endüstriyel bir devrimin gerçekleşmesini sağlayan baskı unsurları olmuştur.Bu teknolojilerin her biri birbirinden bağımsız olarak gelişip farklı uygulama alanlarına sahip olmuş olsa da bir arada kullanıldıklarında elde edilen sinerji sayesinde üretimi, geleneksel yapıdan akıllı üretim seviyesine taşımayı başarmışlardır.Önce sayısallaşan, ardından sanallaşan fiziksel fabrikalar bu sinerjiyle \"akıllı fabrikalar\"a dönüşmüştür.Fiziksel bir ürünün fikir aşamasındayken başlayan ve ürün ömrü boyunca gerçek zamanlı verilerle sanal bir kopyasının elde edilmesi fikrine dayanan Dijital İkizler, akıllı fabrikaların gerçekleşmesinde bahsi geçen teknolojileri bir arada kullanarak, sinerjiyi ortaya çıkaran anahtar bir teknoloji olmayı başarmıştır.Bu makalenin amacı; Endüstri 4.0 bağlamında akıllı üretim sistem ve süreçlerinde Dijital İkiz kavramının yeri, önemi ve gelecekteki potansiyelini anlamak, bir referans noktası geliştirmek için literatüre katkı sağlamaktır.","url":"https://openalex.org/W4287136021","authors":["Esra KUMAŞ","Serpil Erol"],"tags":["Key (lock)","Business","Computer science","Computer security","Telecommunications"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-08-10","doi":"","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4205640428","name":"A survey of application research based on blockchain smart contract","source":"openalex","abstract":"Nowadays, blockchain technology and industry has developed rapidly all over the world, which is inseparable from continuous innovation and improvement on smart contract technology. Therefore, by summarizing the working principle and application research status of blockchain smart contract, this paper analyzes the development and challenges of smart contract. Firstly, we introduce the model and operation principle of blockchain smart contract for the overall architecture, analyze the deployment process of smart contract with Ethereum, Hyperledger Fabric and EOSIO, and make a comparative analysis from the technical level. And taking Byteball, InterValue and IOTA platforms as examples, we introduce the deployment process and application potential for DAG-based blockchain smart contract. Additionally, we also summarize the application research of smart contract for international and Blockchain Oracle, and discuss its innovative application and development trend in the future. Secondly, we introduce the application status of smart contract with Ethereum and Hyperledger Fabric platforms from the aspects of financial transactions, Internet of things, medical applications, and supply chain, and further discuss EOS (enterprise operation system), Blockchain Oracle and other application fields. Furthermore, we introduce the application advantages and challenges to smart contract for industrial Internet from the fields of manufacturing, food industry, industrial Internet of things and industry 4.0. Finally, we discuss the challenges faced by smart contract with technical issues, analyzes the impact on large-scale applications and mining system on the sustainable development of smart contract, and looks forward to the future research direction of blockchain smart contract.","url":"https://doi.org/10.1007/s11276-021-02874-x","authors":["Shiyi Lin","Lei Zhang","Jing Li","Li-li Ji","Yue Sun"],"tags":["Smart contract","Blockchain","Computer science","Software deployment","Oracle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-01-17","doi":"https://doi.org/10.1007/s11276-021-02874-x","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411162017","name":"Sustainable Transition Pathways for Steel Manufacturing: Low-Carbon Steelmaking Technologies in Enterprises","source":"openalex","abstract":"Amid escalating global climate crises and the urgent imperative to meet the Paris Agreement’s carbon neutrality targets, the steel industry—a leading contributor to global greenhouse gas emissions—confronts unprecedented challenges in driving sustainable industrial transformation through innovative low-carbon steelmaking technologies. This paper examines decarbonization technologies across three stages (source, process, and end-of-pipe) for two dominant steel production routes: the long process (BF-BOF) and the short process (EAF). For the BF-BOF route, carbon reduction at the source stage is achieved through high-proportion pellet charging in the blast furnace and high scrap ratio utilization; at the process stage, carbon control is optimized via bottom-blowing O2-CO2-CaO composite injection in the converter; and at the end-of-pipe stage, CO2 recycling and carbon capture are employed to achieve deep decarbonization. In contrast, the EAF route establishes a low-carbon production system by relying on green and efficient electric arc furnaces and hydrogen-based shaft furnaces. At the source stage, energy consumption is reduced through the use of green electricity and advanced equipment; during the process stage, precision smelting is realized through intelligent control systems; and at the end-of-pipe stage, a closed-loop is achieved by combining cascade waste heat recovery and steel slag resource utilization. Across both process routes, hydrogen-based direct reduction and green power-driven EAF technology demonstrate significant emission reduction potential, providing key technical support for the low-carbon transformation of the steel industry. Comparative analysis of industrial applications reveals varying emission reduction efficiencies, economic viability, and implementation challenges across different technical pathways. The study concludes that deep decarbonization of the steel industry requires coordinated policy incentives, technological innovation, and industrial chain collaboration. Accelerating large-scale adoption of low-carbon metallurgical technologies through these synergistic efforts will drive the global steel sector toward sustainable development goals. This study provides a systematic evaluation of current low-carbon steelmaking technologies and outlines practical implementation strategies, contributing to the industry’s decarbonization efforts.","url":"https://doi.org/10.3390/su17125329","authors":["Jinghua Zhang","Haoyu Guo","Gai­yan Yang","Yan Wang","Wei Chen"],"tags":["Steelmaking","Carbon steel","Carbon fibers","Business","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-09","doi":"https://doi.org/10.3390/su17125329","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412904670","name":"Digital Twin Architecture for Continuous Calibration of Electric Vehicle Control Systems: From Development to Production","source":"openalex","abstract":"The fast-paced advancement of electric vehicle (EV) technology highlights a need for new methods to calibrate control systems that allow for flexible responses that improve performance, safety, and energy efficiency. A new digital twin (DT) architecture is proposed to enable continuous calibration of on-road EV control systems in development and production. Existing calibration methods are historically often compartmentalized and broken apart by relying on offline unsuspected simulations and engineering reality prototypes. Both of which inevitably limit iteration and flexibility once in use. In the case of EVs, the proposed architecture assimilates near real-time sensors with predictive analytics and provides a closed-loop feedback of control parameters in the field that gap integrated between the virtual vehicle and the physical vehicle. A modular architecture including a cloud-based DT platform, an edge for low-latency, and embedded vehicle controllers was developed to validate using a case study of torque distribution and battery management systems and showed to lessen the time to calibrate by 22% in development, and improved energy efficiency by 15% when in real-world operation. The result shows promise for the potential of continuous calibration to substantially improve the vehicle development cycle and ensure a better operational performance once on the road. Implications for the study include automated and scalable manufacturing processes, and automated control opportunities for heterogeneous EV fleets. Next work will look to add an AI anomaly detection system, with multi-vehicle DT synchronization software interactions.","url":"https://doi.org/10.47363/jeast/2025(7)322","authors":["Independent Researcher, Michigan, USA","Vijayachandar Sanikal"],"tags":["Architecture","Control (management)","Development (topology)","Calibration","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-30","doi":"https://doi.org/10.47363/jeast/2025(7)322","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4415548751","name":"A focused review on numerical computation in wire arc additive manufacturing for high strength low alloy steels: past insights and potential opportunities","source":"openalex","abstract":"Wire Arc Additive Manufacturing (WAAM) has emerged as a transformative technology in Metal Additive Manufacturing (MAM), offering significant advantages for fabricating large, complex metal structures that are often difficult or economically unfeasible to produce using traditional methods. Despite its cost-effectiveness and design flexibility, WAAM continues to rely heavily on trial-and-error attempts to achieve high-quality results, leading to significant time, effort and financial costs, particularly when producing large-scale parts. High Strength Low Alloy (HSLA) steels, known for their superior strength-to-weight ratios, mechanical properties and corrosion resistance, have become essential in industries where high performance is critical, such as aerospace, automotive and construction. The integration of HSLA steels into WAAM presents unique challenges that require precise predictions of material behavior and process dynamics. Recent advancements in numerical computation have significantly enhanced the understanding and optimization of WAAM process and have been disseminated in various publications. However, existing research on dedicated topics is often fragmented and lacks sufficient integration, which limits the potential for comprehensive insights. This review synthesizes the state of the art in research from 2020 to mid-2025, with a particular focus on integrating numerical computation, HSLA and WAAM. Through the application of staggered scaling methods, significant strides have been made in predicting critical outputs such as temperature distribution, residual stresses, part distortion and microstructural evolution at the grain level. Building on past insights, emerging research trends are focusing on more advanced methods to further optimize the WAAM process. One exciting direction is the use of Hybrid Physics-Informed Neural Networks (PINNs), which integrate neural networks, governing physical laws, analytical models and data-driven methods to offer more accurate and efficient process control. Although still in its early stages, this methodology provides an opportunity to address existing gaps in material performance and process optimization. By leveraging past insights and emerging computational methods, future research holds the potential to significantly advance the industrial adoption of HSLA-WAAM, enabling the production of parts with unprecedented design flexibility, customized material performance and enhanced reliability. This could reshape the manufacturing landscape and position manufacturing modelling and MAM as cornerstones of next-generation manufacturing technology.","url":"https://doi.org/10.1007/s00170-025-16817-9","authors":["Sarah Nadiah Mohd Ghazali","Mohd Halim Irwan Ibrahim","Yupiter H. P. Manurung","Mohd Shahriman Adenan","ASM Tanjilur Rahman","Abdul Rahman Ramlan","Ebrahim Harati","Yusuf Olanrewaju Busari"],"tags":["Automotive industry","Mechanical engineering","Process (computing)","Computation","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-25","doi":"https://doi.org/10.1007/s00170-025-16817-9","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4402574936","name":"Matters of assuring functional dependability compliance of digital manufacturing","source":"openalex","abstract":"Aim. To propose a methodological approach to ensuring the functional dependability of industrial facilities using SMART documents in the context of import-independent digital processes. Methods. The evolving applicability of the dependability theory and information systems design has defined the methodological provisions for algorithmising the application of SMART standards for minimising functional faults and failures of industrial processes. Digital models of production lines were examined as tools for machine-recognisable representation of standards. The proposed form of regulatory documents is intended to enable the transition from machine-readable data to machine-understandable content. Findings. The application of the proposed methods of content systematisation in the context of manufacturing process standardisation shows that the classification of process data based on standardised characteristics of digital information exchange processes is one of the key methodological provisions ensuring unambiguous interpretation of regulatory requirements. Specialised projects often use individual provisions rather than complete regulatory documents. In this case, in order to ensure machine-understandability of the developed content, it is proposed using special identifiers, e.g., «paragraph», «graphic object», «table cell». The deployment of such identification tools will allow creating a class of SMART standards that collect into a single document the provisions regarding the delivery of intended results in situations when the operating equipment is diverse. Publications created using intelligent processing of SMART documents are considered as containers of structured and unstructured data that take into account the conditions of particular projects. The existing dynamics of the demand for advanced industrial products often determines the admissibility of its industrial production by various companies with the parallel use of unique technologies. The conditions of such an organisation impose their limitations on the comparability of various process requirements, therefore, it is proposed to harmonise the presentation of the results of managerial, design, and process engineering solutions using the term «manufacturing system asset». The introduction of relative result estimates as part of the digital format is an efficient mechanism for ensuring management consistency. In this context, the importance of a uniform regulatory framework as the foundation for such assessments is growing. As one of the ways of minimising faults and failures of industrial equipment, it is proposed to create a situation centre with a decision support system based on the regulatory data with harmonised manufacturing system asset requirements. An experience of Industry 4.0 regulation is described in the review of the ISA digital manufacturing series of standards. It was shown that the deployment of SMART standards improves the stability of interaction between information management systems and the functional dependability of production lines. The introduction of provisions regulating the use of algorithms for the development, editing, and examination of draft regulatory documents into the content machine-understandability facilities is an important factor in ensuring the functional dependability of products. Conclusions. The presented approach is focused on the methodology for developing standards that take into account requirements from various subject areas. In the context of ongoing import substitution in manufacturing, the paper examines the feasibility of minimizing digital process faults and failures caused by the use of regulatory frameworks that are not equivalent to the provisions of international documents and take into account the specificity of Russian industrial systems.","url":"https://doi.org/10.21683/1729-2646-2024-24-3-52-60","authors":["E. V. Yurkevich","Lidia Kryukova"],"tags":["Dependability","Compliance (psychology)","Reliability engineering","Computer science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-16","doi":"https://doi.org/10.21683/1729-2646-2024-24-3-52-60","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4212821093","name":"The New Generation of Information Technology Development Drives the Servitization of China's Manufacturing Industry","source":"openalex","abstract":"The development of the new generation of information technology has rapidly integrated artificial intelligence and manufacturing, such as the Internet of Things, big data, cloud computing and digital twin. Countries around the world have responded by introducing their own advanced manufacturing development strategies. The United States' \"Industrial Internet\", Germany's \"Industry 4.0\" and China's \"Made in China 2025\" have all proposed to combine and use the new generation of information technology and artificial intelligence to achieve intelligent manufacturing. In addition, with the formation and development of global value chain, service becomes the key content to realize intelligent manufacturing, and a trend that cannot be ignored is the service-oriented manufacturing. This paper calculates the level of servitization of Chinese manufacturing industry, analyzes the regional differences of servitization in eastern, central and western regions, and puts forward the countermeasures and suggestions for the development of Chinese manufacturing service driven by the development of new generation information technology.","url":"https://doi.org/10.1145/3507473.3507481","authors":["Hua Ouyang"],"tags":["China","Big data","Cloud computing","Service (business)","Manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-11-19","doi":"https://doi.org/10.1145/3507473.3507481","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W851918649","name":"The Road to Realizing In-Space Manufacturing","source":"openalex","abstract":"The Road to Realizing In-space Manufacturing • June 2014 • Slide 9Understanding Our World and BeyondMarshall is expanding knowledge of our world and beyond.","url":"https://openalex.org/W851918649","authors":["Mallory Johnston"],"tags":["Space (punctuation)","Computer science","Operating system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2014-06-18","doi":"","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4384131215","name":"Do Intelligent Manufacturing Concerns Promote Corporate Sustainability? Based on the Perspective of Green Innovation","source":"openalex","abstract":"Using A-share listed companies in China’s all manufacturing industry (including 30 categories of manufacturing industries such as automobile manufacturing, pharmaceutical manufacturing, textiles and more) from 2010 to 2021 as a research sample, this study empirically examines the impact of intelligent manufacturing concerns on corporate sustainability based on textual analysis, and examines the impact mechanism and the moderating role of the business environment. This study found that: intelligent manufacturing concerns are significantly and positively related to corporate sustainability, i.e., corporate focus on intelligent manufacturing concerns will promote corporate sustainability; corporate focus on intelligent manufacturing concerns can promote corporate sustainability by influencing green innovation; and the business environment positively moderates the impact of intelligent manufacturing concerns on corporate sustainability. Further analysis found that ownership heterogeneity, regional heterogeneity and scale heterogeneity play a moderating role between intelligent manufacturing concerns and corporate sustainability, with intelligent manufacturing concerns contributing more to corporate sustainability in large, non-state listed companies and in the eastern and coastal regions.","url":"https://doi.org/10.3390/su151410958","authors":["Tao Feng"],"tags":["Sustainability","Business","Corporate sustainability","Manufacturing","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-13","doi":"https://doi.org/10.3390/su151410958","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W2915848986","name":"Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana","source":"openalex","abstract":"A rapid increase in the world’s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growth rate, coupled with economic development over the last three decades, has transformed the Greater Accra region into a hotspot for massive urban growth. The urban extent of the region has expanded extensively, mainly at the expense of the vegetative cover in the region. Although urbanization presents several opportunities, the environmental and social problems cannot be underestimated. Therefore, the need to estimate the rate and extent of land use/land cover changes in the region and the main drivers of these changes is imperative. Geographic Information Systems (GIS) and remote sensing techniques provide effective tools in studying and monitoring land-use/land-cover change over space and time. A post classification change detection of multiple Landsat images was conducted to map and analyse the extent and rate of land use/land cover change in the region between 1991 and 2015. Subsequently, the urban extent of the region was forecasted for the year 2025 using the Markov Chain and the Multi-Layer Perceptron neural network, together with drivers representing proximity, biophysical, and socio-economic variables. The results from the research revealed that built-up areas increased by 277% over the 24-year study period. However, forest areas experienced massive reduction, diminishing from 34% in 1991 to 6.5% in 2015. The 2025 projected land use map revealed that the urban extent will massively increase to cover 70% of the study area, as compared to 44% in 2015. The urban extent is also anticipated to spill into the adjoining districts mainly on the western and eastern sides of the region. The success of this research in generating a future land-use map for 2025, together with the other significant findings, demonstrates the usefulness of spatial models as tools for sustainable city planning and environmental management, especially for urban planners in developing countries.","url":"https://doi.org/10.3390/urbansci3010026","authors":["Bright Addae","Natascha Oppelt"],"tags":["Urbanization","Metropolitan area","Geography","Land cover","Land use"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-02-27","doi":"https://doi.org/10.3390/urbansci3010026","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4409167555","name":"Agricultural mechanization perspective in Pakistan: present challenges and digital future","source":"openalex","abstract":"Agriculture constitutes a critical sector within the economic landscape of Pakistan, engaging 37.4% of the labour force and contributing 22.9% to the Gross Domestic Product (GDP), thus functioning as an essential element of the country's economic architecture and the sustenance of its citizens. The primary agricultural commodities, which encompass wheat, rice, cotton, maize, and sugarcane, occupy extensive tracts of agricultural land, thereby underscoring their paramount importance regarding food security, impacts on territory management and related landscape, as well as income generation through export activities. Despite its crucial role, the advancement of agricultural mechanization in Pakistan is significantly lacking, with the available agricultural power that is a little less than 1.6 kW ha-1, which is below the minimum required farm power of 1.82 kW ha-1. In this study, we seek to investigate the historical evolution, current scenario, and significant obstacles confronting agricultural mechanization in Pakistan, especially right now when innovative trends worldwide are pushing towards a progressive digitisation of the sector. Continuing with the conventional agricultural practices during the period of independence in 1947, the Green Revolution of the 1960s represented a crucial transformation towards mechanization, propelled by the indigenous manufacturing of tractors. Nevertheless, the pace of mechanization has slowed in recent years, primarily due to the prevalence of small farm sizes, economic constraints, and inadequate access to financial resources. While tasks such as land preparation and pesticide application have achieved notable levels of mechanization, fundamental operations including sowing, transplanting, weeding, and harvesting continue to be insufficiently mechanized. Significant initiatives, such as Laser Land Levelling in Punjab, show the considerable impact of focused interventions. To address the mechanization deficit, proposed strategies encompass the enhancement of local machinery manufacturing, the establishment of quality standards, the promotion of advanced imported equipment, an increase in farmer education, and the implementation of comprehensive government support through subsidies, tax benefits, and dedicated research and development efforts. A collaborative approach between governmental bodies and the private sector is imperative for fostering advancements in mechanization, thereby ensuring a more efficient, productive, and sustainable agricultural sector in Pakistan.","url":"https://doi.org/10.4081/jae.2025.1636","authors":["G Mahmood","Sandro Liberatori","Fabrizio Mazzetto"],"tags":["Mechanization","Agriculture","Perspective (graphical)","Engineering","Veterinary medicine"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-04","doi":"https://doi.org/10.4081/jae.2025.1636","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4212771979","name":"Exploring Multiple Application Scenarios of Visual Communication Course Using Deep Learning Under the Digital Twins","source":"openalex","abstract":"The emergence of intelligent technology has brought a particular impact and allows for virtuality-reality interaction in the educational field. In particular, digital twins (DTs) feature virtuality-reality symbiosis, solid virtual simulation, and high real-time interaction. It has also seen extended applications to the field of education. This study optimizes the design of the visual communication (Viscom) course based on the deep learning (DL) algorithm. Firstly, the theory of DL is analyzed following the relevant literature, and the typical DL networks, network structures, and related algorithms are introduced. Secondly, Viscom technology is expounded, and DL technology is applied to the Viscom course. Then, the applicability and feasibility of DL in the Viscom course are analyzed through a questionnaire survey (QS) design by collecting students' attitudes towards Viscom courses before and after the experiment. After introducing DL into the Viscom course, the results show that students' learning interest and satisfaction with the practical knowledge mastery have increased. However, the satisfaction with theoretical knowledge mastery before practical courses has decreased; overall, the teaching effect of the Viscom course has been improved. Therefore, the introduction of DL into the DT-enabled Viscom can provide a reference for developing the Viscom course. The research content offers technical support (TS) for integrating DT technology and modern education.","url":"https://doi.org/10.1155/2022/5844290","authors":["Guan-Chen Liu","Chih-Hsiang Ko"],"tags":["Virtuality (gaming)","Computer science","Course (navigation)","Virtual reality","Multimedia"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-15","doi":"https://doi.org/10.1155/2022/5844290","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W3006045382","name":"Current Perspectives on the Development of Industry 4.0 in the Pharmaceutical Sector","source":"openalex","abstract":"Industry 4.0 is a concept that represents the adoption by industry of techniques and processes allowed by digitisation, cloud computing, the internet of things and big data to gain competitive advantages in domestic and global markets. The research is conducted in Ireland with the resulting data examined through a global lens, yielding information relevant to the effective adoption and integration of 4.0 concepts. Key outcomes are the perspectives of the pharmaceutical and biopharmaceutical industries with regards to the adoption of 4.0, the current level of implementation of 4.0 technologies in manufacturing facilities and planned 4.0 projects to be executed. Statistically relevant relationships evident in the responses are also investigated. This research provides novel and highly relevant information concerning the state of industry preparedness for the adoption of 4.0. Across all survey respondents only 42% indicated any knowledge of 4.0. The majority of respondents who indicated a knowledge of 4.0 identified with either the Automation or Engineering department. Among established employees with greater than 8 years of experience 82% identified with having knowledge of 4.0. Those surveyed with Vice-President or Director roles, had a 98% certainty of 4.0 awareness. A noteworthy finding of this work is the identification of a substantial disconnect in knowledge of 4.0 based on seniority, function and industry. Thus while the implementation of 4.0 is playing an increasingly significant role in the modernisation of the Pharmaceutical and Biopharmaceutical industries, challenges remain with respect to the holistic fusion of 4.0 into the culture of organisations.","url":"https://doi.org/10.1016/j.jii.2020.100131","authors":["Ingrid Carla Reinhardt","Jorge C. Oliveira","Dr Denis T. Ring"],"tags":["Industry 4.0","Business","Function (biology)","Marketing","Pharmaceutical industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-13","doi":"https://doi.org/10.1016/j.jii.2020.100131","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4413222323","name":"Impact of Digitalization on Carbon Emissions in Guangdong’s Manufacturing Sector: An Input–Output Perspective","source":"openalex","abstract":"As global pressure to reduce emissions intensifies, China is increasingly turning to digital technologies to drive sustainable industrial development, aiming to boost production while keeping carbon emissions in check. This study takes a micro-level approach by dividing the industry into 17 sectors and applying an environmentally-extended input–output (EEIO) model combined with structural decomposition analysis (SDA) to quantify the impact of digital transformation on carbon emissions across sectors. This study used input–output data from 2012 and 2017. The results indicate that (1) technological improvements driven by digitalization play a key role in reducing industrial carbon emissions, and (2) while high-carbon sectors show substantial emission reductions due to digital transformation, industries such as textiles—where digital adoption is more challenging—exhibit only limited improvements. These findings underscore the need to further advance technological upgrading and transformation in less digitally integrated sectors.","url":"https://doi.org/10.3390/su17167234","authors":["Jiao Jingren","Helmut Yabar","Takeshi Mizunoya"],"tags":["Greenhouse gas","Secondary sector of the economy","Production (economics)","Carbon fibers","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-11","doi":"https://doi.org/10.3390/su17167234","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4382982763","name":"Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations","source":"openalex","abstract":"Digital rural construction is an important strategy for rural revitalization. In order to improve the precision of digital rural measurement, a set of evaluation indicators for digital rural construction was devised in this study. The study uses the entropy method, kernel density estimation and system clustering to quantify the level of China’s digital rural construction, as well as the Tobit test and other techniques. From the perspective of time series evolution, the construction of digital villages grew continuously, with a peak in 2020. After that, the speed of digital village construction slowed down slightly because of economic changes in both domestic and international environments. In terms of dynamic evolution, the core density curve of China’s digital rural construction shifted to the right between 2011 and 2021, accompanied by gradient influence and a multipolar development trend; local general budget revenue, the per capita disposable income of rural residents, rural infrastructure investment, computer ownership per 100 rural residents, added value of primary industry, education level, and rural power generation are some of the factors that affect the development level of China’s digital countryside. This study is helpful in understanding the influencing aspects of China’s digital rural construction, thereby facilitating the formation of suitable digital rural development strategies in various regions depending on the real scenario.","url":"https://doi.org/10.3390/su151310423","authors":["Xizi Cao","Mingyi Yan","Jun Wen"],"tags":["Revenue","China","Rural area","Economic growth","Per capita"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-02","doi":"https://doi.org/10.3390/su151310423","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4414181155","name":"AI-Based Surrogate Models for the Food and Drink Manufacturing Industry: A Comprehensive Review","source":"openalex","abstract":"Surrogate models provide virtual representations that mirror physical objects or processes, serving distinct purposes in simulations and digital transformation. This review article examines how integrating surrogate modelling with artificial intelligence (AI) techniques can facilitate the iterative development of surrogate models and identify instances where additional data acquisition is necessary to enhance the performance of a surrogate model. This demonstrates the potential of combining AI with surrogate modelling in addressing some of the key challenges in the food and drink manufacturing industry. The paper also provides an accessible examination of AI and surrogate modelling in the food and drink manufacturing industry, offering a summary of current applications and advancements within the field. The key areas addressed by this article include the application of AI and ML in process control, prediction, and modelling for food manufacturing, as well as the advantages and limitations of AI-based surrogate modelling (SM), among other issues addressed. Based on the literature reviewed herein, AI-based surrogate models can be employed to optimise production processes and reduce the need for extensive physical prototyping in the food and drink manufacturing industry. This review emphasises AI-based surrogate modelling techniques tailored for complex food processing systems and distinguishes itself by bridging method-specific insights with practical industrial relevance. Additionally, this article reviews challenges and limitations in the food and drink manufacturing industry and the application of surrogate modelling, along with future directions for research in this rapidly evolving field.","url":"https://doi.org/10.3390/pr13092929","authors":["Emmanuel Lwele","Alex Shenfield","Carlos Eduardo da Silva"],"tags":["Surrogate model","Risk analysis (engineering)","Computer science","Process (computing)","Key (lock)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-13","doi":"https://doi.org/10.3390/pr13092929","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7128166723","name":"AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0","source":"openalex","abstract":"Advancements in Industry 4.0 technologies, which combine big data analytics, robotics, and intelligent decision systems to enable new ways to increase automation in the industrial sector, have undergone significant transformations. In this research, a Hybrid Attention-Gated Recurrent Unit (At-GRU) model, combined with Sand Cat Optimization (SCO), is proposed to enhance fault identification and predictive maintenance capabilities. The model utilized multivariate sensor data from cyber-physical and IoT-enabled robotic platforms to learn operational patterns and predict failures with enhanced reliability. The At-GRU provides deeper temporal feature extraction, thereby improving classification performance. The robustness of the proposed model is validated through analysis of a benchmark dataset for industrial robots, and the results demonstrate that the proposed model exhibits impressive predictive capacity, surpassing other prediction methods and predictive maintenance approaches. Additionally, the performance evaluation indicates a lower computational cost due to the lightweight gating architecture of GRU, combined with attention. The robotic motion is further optimized by the SCO algorithm, which reduces energy usage, execution delay, and trajectory deviations while ensuring smooth operation. Overall, the proposed work offers an intelligent and scalable solution for next-generation industrial automation systems. Furthermore, the proposed model demonstrates the real-world applicability and significant benefits of incorporating hybrid artificial intelligence models into real-time robot control applications for smart manufacturing environments.","url":"https://doi.org/10.3390/electronics15030715","authors":["Deepak Kumar","Santosh Reddy Addula","Mary Lind","Steven Brown","Segun Odion"],"tags":["Predictive maintenance","Artificial intelligence","Robustness (evolution)","Automation","Model predictive control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-06","doi":"https://doi.org/10.3390/electronics15030715","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394586024","name":"Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols","source":"openalex","abstract":"Modern production lines are often composed of machinery from different vendors that must be connected with each other to increase the overall interoperability and flexibility. A common problem that arises in such systems is the complexity of the configuration task: they usually require each component to be manually configured. Thus, machinery requires different configuration strategies, negatively impacting scalability and increasing the chance of human errors. Furthermore, each time the manufacturing system has to be updated, the entire procedure must be repeated. This paper proposes a software architecture abstracting the complexity of existing production lines by enabling the service-oriented manufacturing paradigm. Then, it presents a strategy to model manufacturing systems, covering the topology of the production plant, machinery, and production recipes. The paper also proposes a model-based methodology to automatically configure the reference software architecture and hence the machines in the system. The application of the contributions to a fully-fledged production line shows the effectiveness of relying on model-based automatic configuration.","url":"https://doi.org/10.1109/access.2024.3385634","authors":["Sebastiano Gaiardelli","Stefano Spellini","Marco Panato","Carlo Tadiello","Michele Lora","Dong Seon Cheng","Franco Fummi"],"tags":["Computer science","Interoperability","Flexibility (engineering)","Scalability","Distributed computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2024.3385634","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7134062787","name":"The Role of Digital Transformation in Manufacturing Under the Light of AI Integration","source":"openalex","abstract":"Abstract Digital transformation in manufacturing represents a strategic evolution beyond digitization and digitalization, aiming to redefine industrial processes through the integration of intelligent technologies, such as artificial intelligence (AI). This chapter explores how the integration of AI facilitates this transformation within the frameworks of Industry 4.0 and Industry 5.0 (I5.0). While the main theme of Industry 4.0 is the promotion of automation and smart manufacturing, in I5.0, emphasis is focused on human centricity, resilience, and sustainability, emerging new challenges over traditional implementations. Through critical literature review and the presentation of real-life industrial case studies, the organizational, operational, and technological aspects of digital transformation are examined, with special attention to challenges faced by small and medium-sized enterprises (SMEs). The analysis is framed within the Technology Organization Environment (TOE) model, addressing the need for adaptable and inclusive transition strategies. Furthermore, the contribution of this chapter extends to the provision of a roadmap for AI-enabled digital maturity, promoting resilient, low-carbon, and human-aligned manufacturing systems. The discussion aligns with the priorities of the AI, Data, and Robotics Partnership and supports the strategic objectives of Europe’s digital and green transitions.","url":"https://doi.org/10.1007/978-3-032-10561-5_9","authors":["John Angelopoulos","Kosmas Alexopoulos"],"tags":["Digitization","Digital transformation","General partnership","Industry 4.0","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1007/978-3-032-10561-5_9","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4416715593","name":"Digital Twins and Legal Liability: Navigating Accountability in Simulated Realities","source":"openalex","abstract":"In this research protject, the focus is on how issues of responsibility are resolved when using digital twin technology within the United States. With digital twins playing a key role in healthcare, manufacturing and infrastructure, new problems concerning data integrity, cybersecurity, privacy and how reliable systems can operate tend to emerge. The paper describes the current legal situation, identifies important U.S. laws and relevant authorities and discusses the obstacles faced in the process of deciding who was at fault. The findings point out actual problems and solutions are suggested in terms of policies and technologies to close such gaps. Suggesting that comprehensive governance and a team approach are important, the study pushes for active laws, clear standards and creative improvements to make the use of digital twins safe and effective in significant industries.","url":"https://doi.org/10.32996/ijlps.2025.7.8.2","authors":["M. Daud Ahmed","Mohammad Zashim Uddin"],"tags":["Accountability","Process (computing)","Key (lock)","Public relations","Corporate governance"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-26","doi":"https://doi.org/10.32996/ijlps.2025.7.8.2","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410056341","name":"Strategies for recycling multi-material polymer blends for additive manufacturing","source":"openalex","abstract":"The rapid advancement of additive manufacturing (AM) technology, combined with the growing accumulation of plastic waste, has generated significant interest in utilizing materials derived from plastic waste and their composites within the AM industry. This paper examines the methods and approaches currently employed in recycling and blending thermoplastic waste into additive manufacturing feedstocks, aiming to enhance understanding and guide future advancements in this field. A systematic literature review including 82 papers from 2014 to 2024 was performed using the Scopus and Web of Science databases. The review findings indicate that approximately 83 % of the research is concentrated in production of new materials combining various polymer waste with recycled bio-sourced materials, recycled fillers or other additives for property enhancement. The evaluation and characterization of these new materials was carry out mostly using 3D printing, predominantly employing fused filament fabrication technology (63 %). The remaining 17 % focus on the improvement of the printing quality and optimization, development or adaptation of 3D printers for the utilization of new materials, and material reprocessability. This review highlight the need of evaluating the behavior of recycled blends over multiple life cycles, the cost and environmental assessments, and primary end-use applications of these materials, including as well as further development and design of printers.","url":"https://doi.org/10.1016/j.susmat.2025.e01430","authors":["Catalina Suescun Gonzalez","Aditi Basdeo","Fabio A. Cruz Sanchez","Cécile Nouvel","Joshua M. Pearce","Hakim Boudaoud"],"tags":["Materials science","Polymer","Composite material","Process engineering","Polymer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-03","doi":"https://doi.org/10.1016/j.susmat.2025.e01430","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4416262586","name":"Metal additive manufacturing with powder and wire feedstocks","source":"openalex","abstract":"Metal additive manufacturing (AM) eliminates traditional design and production limitations, enabling the creation of complex geometries layer-by-layer from bulk material. The form of the material feedstock has a significant influence on design, efficiency, and process performance. A dichotomy is quickly emerging between powdered metal and wire across all AM technologies for metallic products. This article presents a unique perspective on powder bed fusion and laser-directed energy deposition (DED), two of the most mature metal AM processes, and wire-based electric arc DED, a promising newcomer. Despite its many advantages, confidence in wire Arc-DED lags behind powder processes due to their widespread familiarity. To accelerate research and adoption of wire-based Arc-DED, it is essential to appreciate the maturity of its foundational welding processes, increase metallurgical understanding, and optimise processing. To that end, a literature overview of physical characteristics, equipment availability, and process maturity for wire and powder is undertaken. The advantages and critical issues of wire-based Arc-DED are explicitly compared to those of powder-based DED, with detailed trade-offs in process, equipment, design, and safety drawn from firsthand knowledge. Critical issues in material properties and defects related to the nature of the feedstock are also examined, and wire-based innovations are discussed.","url":"https://doi.org/10.1080/17452759.2025.2587790","authors":["Lile Squires","Amit Bandyopadhyay"],"tags":["Raw material","Materials science","Metal powder","Metallurgy","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-16","doi":"https://doi.org/10.1080/17452759.2025.2587790","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414474885","name":"AI-Driven Manufacturing: Surveying for Industry 4.0 and Beyond","source":"openalex","abstract":"Abstract Artificial intelligence is transforming various industries, including manufacturing, yet its full potential in manufacturing remains underutilized. Industry 4.0 aims to enhance productivity, operational efficiency, and decision-making, but achieving these objectives at scale remains an ongoing challenge. This paper surveys the artificial intelligence-driven integration of multi-agent systems and manufacturing execution systems as key enablers of smart manufacturing in Industry 4.0 and the emerging Industry 5.0. It reviews state-of-the-art developments, identifies key challenges, and outlines research priorities by analyzing trends from past industrial revolutions. The paper also emphasizes workforce upskilling and advocates for a problem-driven approach, prioritizing solving practical challenges over pursuing technological innovation without clear objectives. Furthermore, this paper leverages responses generated via ChatGPT and Microsoft Copilot to assess whether the discussions presented align with AI-generated insights, demonstrating an example of human–machine collaboration to set a precedent for future research. Concluding with a forward-looking agenda, it emphasizes the need for high-technology readiness level pilot implementations and stronger industry-academia collaboration to transition from theoretical breakthroughs to large-scale industrial deployment. This paper serves as a guide for researchers, policymakers, and stakeholders, providing a comprehensive perspective on technological advancements, integration challenges, and industry standards in smart manufacturing.","url":"https://doi.org/10.1007/s43069-025-00554-6","authors":["Arti Bandhana","Jiří Vokřínek"],"tags":["Workforce","Industry 4.0","Key (lock)","Implementation","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-24","doi":"https://doi.org/10.1007/s43069-025-00554-6","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4322487899","name":"RETRACTED: Research on the evolution and driving factors of digitalization of energy in China—A new perspective based on coupling coordination","source":"openalex","abstract":"The world is experiencing the tide of digital transformation. Promoting the digitalization of energy is an important measure to realize energy sustainability. The digitalization of energy is a product of the coupled and coordinated development of the energy industry and the digital economy. This paper takes 30 provinces in China from 2011 to 2020 as research objects. The Entropy Weight Method is used to measure the development level of China's energy industry and digital economy, and the Coupling Coordination Degree Model is used to measure the digitalization of energy (DE). Then, the evolution characteristics and driving factors of China's DE are studied by using Grey Prediction Model, Kernel Density Analysis Method and Geodetector Model. The conclusions are mainly as follows: (1) Though the development level of energy industry and digital economy in China are both growing over time, there are distinct features in their spatial distribution. (2) The DE is in a disorderly state as a whole, but it will be upgraded to the stage of barely coordinated during China's 14th Five-Year Plan period (2021-2025). From the evolutionary process, the distribution pattern and trend changes of DE are characterized by obvious polarization distribution and increasing absolute differences, and this feature is more obvious in the central and western regions. (3) Government support, FDI, and pollution governance have an increasing impact on DE, but this impact varies considerably between the east and central-west regions. Therefore, this paper suggests that local governments should formulate policies to promote the DE according to local conditions. The central government should focus on accelerating the construction of the \"East Digital West Computing\" project and the development of the energy Internet to solve the problem of uneven regional development.","url":"https://doi.org/10.1016/j.heliyon.2023.e14138","authors":["Jing Chen","Yanqin Lv","Tianzheng Fan"],"tags":["China","Corporate governance","Economic geography","Economic system","Distribution (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-02-27","doi":"https://doi.org/10.1016/j.heliyon.2023.e14138","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4417180026","name":"Global Trends in Procurement and Supply Chain Analytics with Implications for Manufacturing Innovation","source":"openalex","abstract":"The rapid digitalization of procurement and supply chain management has transformed how organizations coordinate, evaluate, and innovate within global manufacturing systems. The integration of analytics into procurement processes enables firms to enhance efficiency, transparency, and resilience, while simultaneously supporting the transition toward advanced manufacturing innovation. Recent global shifts including the proliferation of big data, artificial intelligence, blockchain, and Industry 4.0 technologies redefined how procurement is conducted, turning it into a strategic driver of value creation. This paper provides an in-depth literature-based review of global trends in procurement and supply chain analytics with a focus on their implications for manufacturing innovation. By synthesizing secondary research up to 2025, it explores the historical evolution, methodological developments, and emerging debates that define this rapidly changing field. The analysis underscores the growing significance of predictive and prescriptive analytics, the integration of sustainability considerations, the use of advanced digital platforms, and the move toward collaborative, data-sharing ecosystems. Particular attention is given to the implications for manufacturing innovation, including enhanced product design, agile production, risk resilience, and sustainable operations. The findings highlight the opportunities and challenges facing organizations as they adapt to a data-intensive procurement and supply chain landscape. This paper contributes to scholarly discourse and managerial practice by consolidating current knowledge, identifying critical gaps, and outlining directions for future research.","url":"https://doi.org/10.54660/.ijmrge.2025.6.5.964-974","authors":["Olatunde Taiwo Akin-Oluyomi","Precious Osobhalenewie Okoruwa","Odunayo Mercy Babatope","David Adedayo Akokodaripon"],"tags":["Supply chain","Procurement","Business","Supply chain management","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.54660/.ijmrge.2025.6.5.964-974","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4315588688","name":"Digital Twin: Where do humans fit in?","source":"openalex","abstract":"Digital Twin (DT) technology is far from being comprehensive and mature, resulting in their piecemeal implementation in practice where some functions are automated by DTs, and others are still performed by humans. This piecemeal implementation of DTs often leaves practitioners wondering what roles (or functions) to allocate to DTs in a work system, and how might it impact humans. A lack of knowledge about the roles that humans and DTs play in a work system can result in significant costs, misallocation of resources, unrealistic expectations from DTs, and strategic misalignments. To alleviate this challenge, this paper answers the research question: When humans work with DTs, what types of roles can a DT play, and to what extent can those roles be automated? Specifically, we propose a two-dimensional conceptual framework, Levels of Digital Twin (LoDT). The framework is an integration of the types of roles a DT can play, broadly categorized under (1) Observer, (2) Analyst, (3) Decision Maker, and (4) Action Executor, and the extent of automation for each of these roles, divided into five different levels ranging from completely manual to fully automated. A particular DT can play any number of roles at varying levels. The framework can help practitioners systematically plan DT deployments, clearly communicate goals and deliverables, and lay out a strategic vision. A case study illustrates the usefulness of the framework.","url":"https://doi.org/10.48550/arxiv.2301.03040","authors":["Ashwin Agrawal","Robert Thiel","Pooja Jain","Vishal Singh","Martin Fischer"],"tags":["Executor","Computer science","Deliverable","Action (physics)","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-08","doi":"https://doi.org/10.48550/arxiv.2301.03040","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W3138335083","name":"Openness to Industry 4.0 and performance: The impact of barriers and incentives","source":"openalex","abstract":"The impact of barriers and incentives on the relationship between openness to Industry 4.0 and performance have so far received little scholarly attention. As a result, this paper explores this relationship by employing a mixed methods approach. A qualitative analysis using in-depth interviews and multiple case studies identifies prominent barriers and incentives, whilst a quantitative analysis on a representative sample of 500 local manufacturing units in Piedmont (a region of Northern Italy) is undertaken via an OLS regression-based path analysis. The results of the parallel-serial multiple mediation model show that: (1) greater openness to Industry 4.0 is related to better performance; (2) greater openness to Industry 4.0 leads to a higher perception of barriers; (3) greater knowledge-related and economic and financial barriers improve performance, abstracting from the adoption of incentives; and (4) greater openness to Industry 4.0 drives the adoption of incentives. However, perceived economic and financial barriers are found not to drive firms to adopt more incentives. The study contributes to the Industry 4.0 literature by identifying previously unidentified strengths and weaknesses to barriers and incentives, and highlights the necessity of policies that reflect real firms’ needs.","url":"https://doi.org/10.1016/j.techfore.2021.120756","authors":["Monica Cugno","Rebecca Castagnoli","Giacomo Büchi"],"tags":["Openness to experience","Incentive","Mediation","Path analysis (statistics)","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-03-23","doi":"https://doi.org/10.1016/j.techfore.2021.120756","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411801834","name":"Energy Efficiency and Sustainability of Additive Manufacturing as a Mass-Personalized Production Mode in Industry 5.0/6.0","source":"openalex","abstract":"This review article examines the role of additive manufacturing (AM) in increasing energy efficiency and sustainability within the evolving framework of Industry 5.0 and 6.0. This review highlights the unique ability of additive manufacturing to deliver mass-customized products while minimizing material waste and reducing energy consumption. The integration of smart technologies such as AI and IoT is explored to optimize AM processes and support decentralized, on-demand manufacturing. Thisarticle discusses different AM techniques and materials from an environmental and life-cycle perspective, identifying key benefits and constraints. This review also examines the potential of AM to support circular economy practices through local repair, remanufacturing, and material recycling. The net energy efficiency of AM depends on the type of process, part complexity, and production scale, but the energy savings per component can be significant if implemented strategically.AM significantly improves energy efficiency in certain manufacturing contexts, often reducing energy consumption by 25–50% compared to traditional subtractive methods. The results emphasize the importance of innovation in both hardware and software to overcome current energy and sustainability challenges. This review highlights AM as a key tool in achieving a human-centric, intelligent, and ecological manufacturing paradigm.","url":"https://doi.org/10.3390/en18133413","authors":["Izabela Rojek","Dariusz Mikołajewski","Jakub Kopowski","Tomasz Bednarek","Krzysztof Tyburek"],"tags":["Production (economics)","Sustainability","Mode (computer interface)","Energy (signal processing)","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-28","doi":"https://doi.org/10.3390/en18133413","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4405809770","name":"Welding and Additive Manufacturing Challenges in Nickel Superalloys: The Impact of Hydrogen Embrittlement","source":"openalex","abstract":"Nickel superalloys are indispensable in industries that demand a fusion of high-temperature mechanical strength and exceptional oxidation resistance, making them ideal for aerospace, power generation, and chemical processing applications. Their versatility extends to various welding applications, including coatings, buttering, and additive manufacturing, where they serve as critical components due to their superior performance characteristics. However, a significant challenge faced by these alloys is hydrogen embrittlement—a phenomenon that can severely compromise their mechanical integrity, leading to catastrophic component failures. This review article synthesizes recent research on hydrogen embrittlement in nickel superalloys, with a focus on understanding the underlying mechanisms that contribute to this phenomenon. It explores how welding processes, including the choice of welding parameters and post-weld treatments, influence the susceptibility to hydrogen uptake and subsequent embrittlement. Furthermore, this review highlights effective strategies for prevention, such as the use of low-hydrogen electrodes, controlled welding environments, and post-weld heat treatments designed to minimize hydrogen diffusion. By addressing these critical aspects, this article aims to provide a comprehensive overview of current challenges and advancements in mitigating hydrogen embrittlement, thereby enhancing the reliability and longevity of nickel superalloy components in demanding industrial applications.","url":"https://doi.org/10.3390/pr13010033","authors":["Igor Fernando Martins de Souza","Kauê Correa Riffel","Luiz Eduardo dos Santos Paes","Sinésio Domingues Franco","Leonardo Rosa Ribeiro da Silva"],"tags":["Superalloy","Hydrogen embrittlement","Metallurgy","Materials science","Embrittlement"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-26","doi":"https://doi.org/10.3390/pr13010033","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410183502","name":"Development of a catalog and a description model for methods and digital tools in Manufacturing Change Management","source":"openalex","abstract":"Abstract Today’s manufacturing industry faces numerous complex challenges, requiring companies to continuously adapt to external influences like supply chain disruptions, energy shortages, and skilled-labor deficits. Addressing these challenges often necessitates Manufacturing Changes (MCs), managed systematically through Manufacturing Change Management (MCM). Despite MCM’s growing importance, studies reveal significant gaps in the methodical and digital support for MCM processes, leading to inefficient and ineffective MCs. To address this challenge, this paper focuses on developing a catalog of methods and digital tools (M&DT) for MCM, structured with descriptive attributes to enhance the selection and application of M&DT in response to specific MCs. The catalog was developed through a three-phase approach, with attributes derived from the literature, an online survey, and expert interviews. The catalog and the associated descriptive framework were tested in a first industrial use case. In conclusion, the catalog developed in this contribution aims to guide companies in selecting suitable M&DT for specific use cases based on their individual requirements.","url":"https://doi.org/10.1007/s11740-025-01343-0","authors":["Jan-Philipp Rammo","Ellen Agyekum","Olaya Perez","Michael F. Zaeh"],"tags":["Computer science","Change management (ITSM)","Process management","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-07","doi":"https://doi.org/10.1007/s11740-025-01343-0","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7115709716","name":"From Maintenance 4.0 to Maintenance 5.0: Human-Centric Robotic Systems and Intelligent Maintenance in Emerging-Economy and SME Manufacturing – A Systematic Literature Review","source":"openalex","abstract":"Robotic automation and intelligent maintenance have become central to manufacturing efficiency in the Industry 4.0 era. Existing surveys on predictive maintenance, Maintenance 4.0 and digital-twin-based maintenance focus primarily on technological enablers in large, capital-intensive plants, with limited attention to human-centric and sustainability aspects or to the realities of emerging economies and small and medium-sized enterprises (SMEs)This paper presents a systematic literature review on human-centric robotic intelligent maintenancein manufacturing, with a particular emphasis on emerging-economy and SME contexts and on the transition from Maintenance 4.0 to Maintenance 5.0. Following the PRISMA 2020 protocol, we identify, screen, and synthesise peer-reviewed studies published between 2010 and 2025 across major databases (Scopus, Web of Science, IEEE Xplore, ScienceDirect). The final sample covers 4 main streams: (1) robotic systems and predictive maintenance, (2) digital-twin-enabled and data-driven maintenance, (3) human factors and competency requirements in Maintenance 4.0, and (4) sustainability-oriented and emerging-economy implementations.We find that AI-driven predictive maintenance and digital twins can reduce downtime by 30–50% and maintenance costs by 20–30% in robot-intensive production systems, while also improving product quality and energy efficiency.However, the literature remains strongly techno-centric: human-centric design, worker competencies, organisational change, and socio-economic implications in emerging-economy and SME settings are rarely addressed in depth. Building on these gaps, the paper proposes a Human-Centric Sustainable Robotic Maintenance (HCSR-M)framework that integrates technological, organisational, human and sustainability dimensions, and outlines a future research agenda for Maintenance 5.0 in robot-intensive manufacturing.","url":"https://doi.org/10.47760/ijcsmc.2025.v14i11.012","authors":["Jadoon Rahees Khan","Seungjae Lee"],"tags":["Predictive maintenance","Industry 4.0","Downtime","Sustainability","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-30","doi":"https://doi.org/10.47760/ijcsmc.2025.v14i11.012","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4296116753","name":"The mediating role of energy efficiency on the relationship between sharing economy benefits and sustainable development goals (Case Of China)","source":"openalex","abstract":"Recently, sustainable development goals (SDGs) have become a global requirement, but a changing phenomenon which needs to be examined frequently and which is the focus of recent literature and regulation. Thus, the present study examines the impact of sharing economy benefits such as reasonable use of energy resources, enhanced energy resource efficiency, and reduced energy cost, based on the SDGs of the manufacturing industry in China. The study explores the role of improved energy efficiency as a mediator in the nexus of the reasonable use of energy resources, enhanced energy resource efficiency, reduced energy costs, and SDGs. The article uses the primary data collection method of questionnaires to collect data from selected respondents, the managers of the manufacturing companies. The study employs Smart-PLS to check the reliability of the items and evaluate whether the variables are associated. The results reveal that reasonable use of energy resources, enhanced energy resource efficiency, and reduced energy costs have positive links with SDGs in the manufacturing industry in China. The results show improved energy efficiency to be among the linkages of the reasonable use of energy resources, enhanced energy resource efficiency, reduced energy costs, and SDGs of the manufacturing industry in China. This study can help economists, environmental regulators, and commissions for sustainable development in designing policies to encourage the sharing economy within countries and achieve SDGs.","url":"https://doi.org/10.1016/j.jik.2022.100270","authors":["Fengsheng Chien"],"tags":["Nexus (standard)","Sustainable development","Environmental economics","Efficient energy use","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-16","doi":"https://doi.org/10.1016/j.jik.2022.100270","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W3107373987","name":"Green Industrial Internet of Things from a smart industry perspectives","source":"openalex","abstract":"The goal of industrial revolutions is not only to improve and respond directly to the needs of industry in a productive side fact, but also to improve the standard of living of society and make life easier for customers. Therefore, economic growth should always go hand in hand with each industrial revolution. In this context, the increasing demand for electricity, the non-renewable nature of conventional sources and the rising price of fuel, are considered the constraints of the 21st century and need to be definitively managed in order to meet the constantly increasing demand for electricity from the population in the best possible conditions. Information and Communication Technologies (ICTs) are the foundation on which tomorrow’s innovative solutions are created. However, smart embedded systems and the internet are two major players driving ICT technologies forward. These technologies have impacted several sectors, where we find a crossroads of several industrial sectors: medical, manufacturing, automation, energy and others. The application these technologies in a smart grid framework with the integration of renewable energy sources and used for an optimization and efficiency mission let Internet of Things (IoT) to take the sustainable and industrial character and named Green Industrial Internet of Things (GIIoT). This last, seems to be a promoting axis for the development of future applications. In this paper, we present an overview of the impact of the Internet of Things on the evolution of applications in relation to the different revolutions, an inventory of the different industrial revolutions, an overview of the GIIoT as well as some applications and perspectives.","url":"https://doi.org/10.1016/j.egyr.2020.09.022","authors":["Mohamed Tabaa","Fabrice Monteiro","Hassna Bensag","Abbas Dandache"],"tags":["Industrial Internet","Internet of Things","Industry 4.0","The Internet","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-11-01","doi":"https://doi.org/10.1016/j.egyr.2020.09.022","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4407616436","name":"To Explore the Relationship Between Sustainability, Digital Technology, and Sustainable Development Goals","source":"openalex","abstract":"ABSTRACT In the era of rapid technological advancement and growing global challenges, the interaction between sustainability, digital technology (DT), and sustainable development goals (SDGs) presents a vital opportunity for transformative action. This convergence opens doors to innovative solutions for addressing critical environmental and societal issues while advancing economic progress. Therefore, this study aims to explore the intricate relationship between sustainability, digital technology, and SDGs. A systematic literature review and Preferred Reporting Items for Systematic Review and Meta‐Analyses (PRISMA) protocol have been used to comprehend the impact of DT on promoting SDGs across diverse sectors while enhancing sustainability. By analyzing the 141 articles, it could be concluded that achieving sustainability by adhering to the SDGs requires effective integration of DT and a thorough understanding of the policy reforms and SDG knowledge that support both sustainability goals and digitalization. The findings also indicate that achieving the SDGs in the era of digitalization relies on the collective and collaborative ability to leverage digital technology as a crucial tool and resource for positive transformation while mitigating its adverse impacts. Furthermore, the successful integration of DT with SDGs requires a comprehensive approach that encompasses technological innovation, a supportive governance framework, and capacity building.","url":"https://doi.org/10.1002/bsd2.70076","authors":["Aditi Saha","Rakesh D. Raut","Mukesh Kumar","Sudishna Ghoshal"],"tags":["Sustainability","Sustainable development","Business","Process management","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-17","doi":"https://doi.org/10.1002/bsd2.70076","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409084236","name":"The Digital Economy and Total Factor Productivity of the Manufacturing Industry: From the Perspective of Subdivided Manufacturing Sectors","source":"openalex","abstract":"Global economic change and technological development have made the digital economy a key force for economic growth. With its innovation, penetration, and integration, the digital economy has penetrated into all aspects of the manufacturing industry, bringing opportunities and challenges to the manufacturing industry. Based on the development level of China’s digital economy and manufacturing industry data from 2001 to 2023, using DEA–BCC–Malmquist, this paper studies the impact of the digital economy on the total factor productivity of the manufacturing industry. It is found that the development of the digital economy impacted the total factor productivity of the manufacturing industry, in which cost and innovation research and development played an intermediary effect, and the digital economy has shown a more positive push in technology-intensive and labor-intensive industries than in capital-intensive ones. Based on the findings, this research is designed to empower the manufacturing sector to capitalize on emerging digital economy opportunities while advancing sustainable development goals.","url":"https://doi.org/10.3390/su17073127","authors":["Xinxin Chen","Jun Shao"],"tags":["Productivity","Perspective (graphical)","Manufacturing","Business","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-01","doi":"https://doi.org/10.3390/su17073127","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7150912933","name":"Hybrid agentic AI and multi-agent systems in smart manufacturing","source":"openalex","abstract":"The convergence of Agentic Artificial Intelligence (AI) and Multi-Agent Systems (MAS) enables a new paradigm for intelligent decision-making in Smart Manufacturing Systems (SMS). Traditional MAS architectures emphasize distributed coordination and specialized autonomy, while recent advances in agentic AI driven by Large Language Models (LLMs) introduce higher-order reasoning, planning, and tool orchestration capabilities. This paper presents a hybrid agentic AI and multi-agent framework for a Prescriptive Maintenance (RxM) use case, where LLM-based agents provide strategic orchestration and adaptive reasoning, complemented by rule-based and Small Language Models (SLMs) agents performing efficient, domain-specific tasks on the edge. The proposed framework adopts a layered architecture that consists of perception, preprocessing, analytics, and optimization layers, coordinated through an LLM Planner Agent that manages workflow decisions and context retention. Specialized agents autonomously handle schema discovery, intelligent feature analysis, model selection, and prescriptive optimization, while a human-in-the-loop interface ensures transparency and auditability of generated maintenance recommendations. This hybrid approach enables dynamic model adaptation, transparent decision-making, and cost-aware maintenance scheduling based on data-driven insights. An initial proof-of-concept implementation is validated on two industrial manufacturing datasets. The developed framework is modular and extensible, allowing new agents or domain-specific modules to be integrated seamlessly as system capabilities evolve. The results demonstrate the system’s capability to automatically detect schema, adapt preprocessing pipelines, optimize model performance through adaptive intelligence, and generate actionable, prioritized maintenance recommendations. The framework shows promise in achieving improved robustness, scalability, and explainability for RxM in smart manufacturing, bridging the gap between high-level agentic reasoning and low-level autonomous execution. • Hybrid agentic AI and multi-agent framework enables prescriptive maintenance in smart manufacturing. • Layered architecture coordinates perception, preprocessing, analytics, and optimization agents. • LLMs provide strategic reasoning and orchestration, while SLMs support low-latency edge intelligence. • Framework delivers transparent, modular, and cost-aware recommendations with human-in-the-loop oversight. • Validated on manufacturing datasets across classification, regression, and anomaly detection tasks.","url":"https://doi.org/10.1016/j.jmsy.2026.04.002","authors":["Mojtaba A. Farahani","Irfan Khan","Thorsten Wuest"],"tags":["Engineering","Computer science","Smart manufacturing","Manufacturing engineering","Computer-integrated manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-07","doi":"https://doi.org/10.1016/j.jmsy.2026.04.002","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411101546","name":"Multi-Period MIP Models for Real-Time Scheduling and Resource Allocation in Digital Twin-Enabled Systems","source":"openalex","abstract":"The use of Digital Twin (DT) technology in advanced industrial systems enables us to have better real-time monitoring, control, and optimization of complex processes. This paper presents new multi-period mixed-integer programming (MIP) models that can solve the problems of real-time scheduling and resource allocation in Digital Twin-based environments. The new models include dynamic system behavior across a number of different time periods with resource capacity constraints, task precedence, and working deadlines. Taking advantage of the real-time data streams from Digital Twins, the models learn and adapt to system variations and uncertainty to facilitate optimal decision-making for resource utilization and production efficiency. Computational experimentation on conventional case studies demonstrates the practicability and scalability of the approach and its potential to increase responsiveness and operational efficiency in cyber-physical systems and smart manufacturing.","url":"https://doi.org/10.31181/jidmgc1120252","authors":["Safіye Turgay","Nimet Merve Telçeken"],"tags":["Computer science","Scheduling (production processes)","Period (music)","Distributed computing","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-05","doi":"https://doi.org/10.31181/jidmgc1120252","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407272013","name":"Segregation-dislocation self-organized structures ductilize a work-hardened medium entropy alloy","source":"openalex","abstract":"Dislocations are the intrinsic origin of crystal plasticity. However, initial high-density dislocations in work-hardened materials are commonly asserted to be detrimental to ductility according to textbook strengthening theory. Inspired by the self-organized critical states of non-equilibrium complex systems in nature, we explored the mechanical response of an additively manufactured medium entropy alloy with segregation-dislocation self-organized structures (SD-SOS). We show here that when initial dislocations are in the form of SD-SOS, the textbook theory that dislocation hardening inevitably sacrifices ductility can be overturned. Our results reveal that the SD-SOS, in addition to providing dislocation sources by emitting dislocations and stacking faults, also dynamically interacts with gliding dislocations to generate sustainable Lomer-Cottrell locks and jogs for dislocation storage. The effective dislocation multiplication and storage capabilities lead to the continuous refinement of planar slip bands, resulting in high ductility in the work-hardened alloy produced by additive manufacturing. These findings set a precedent for optimizing the mechanical behavior of alloys via tuning dislocation configurations.","url":"https://doi.org/10.1038/s41467-025-56710-3","authors":["Bojing Guo","Dingcong Cui","Qingfeng Wu","Yuemin Ma","Daixiu Wei","L. S. R. Kumara","Yashan Zhang","Chenbo Xu","Zhijun Wang","Junjie Li","Xin Lin","Jincheng Wang","Xun‐Li Wang","Feng He"],"tags":["Materials science","Dislocation","Ductility (Earth science)","Alloy","Work hardening"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-08","doi":"https://doi.org/10.1038/s41467-025-56710-3","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4414097645","name":"Assessment of Smart Manufacturing Readiness for Small and Medium Enterprises in the Indian Automotive Sector","source":"openalex","abstract":"This study evaluates the degree to which small and medium sized enterprises (SMEs) are prepared to adopt smart manufacturing in contrast to large enterprises, a transition that depends on the effective use of the Internet of Things, artificial intelligence (AI), and advanced analytics. While many large multinational companies have already integrated such technologies, smaller firms still struggle because of tight budgets, limited technical expertise, and difficulties in scaling new systems. To capture these realities, the investigation refines the Initiative Mittelstand-Digital für Produktionsunternehmen und Logistik-Systeme (IMPULS) Industry 4.0 readiness model, which was initially developed to help German SMEs, so that it aligns with the circumstances faced by smaller manufacturers. A thorough review of published work first surveys existing readiness and maturity frameworks, highlights their limitations, and guides the selection of new, SME-specific indicators. The framework gauges readiness across six dimensions: strategic planning and organizational design, smart factory infrastructure, lean operations, digital products, data-driven services, and workforce capability. Each dimension is operationalized through a questionnaire that offers clear benchmarks and actionable targets suited to the current resources of each enterprise. Weaving strategic vision, skill growth, and cooperative support, the approach offers managers a direct path to sharper competitiveness and lasting innovation within a changing industrial landscape. Additionally, a separate Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis is provided for each dimension based on survey data offering decision-makers concise guidance for future investment. The proposed adaptation of the IMPULS framework, validated through empirical data from 31 SMEs, introduces a novel readiness index, diagnostic gap metrics, and actionable cluster profiles tailored to developing-country industrial ecosystems.","url":"https://doi.org/10.3390/su17188096","authors":["Maheshwar Dwivedy","Deepak Pandit","Kiran Khatter"],"tags":["Automotive industry","Industry 4.0","Process management","Operationalization","Small and medium-sized enterprises"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-09","doi":"https://doi.org/10.3390/su17188096","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409271233","name":"Knowledge flows in industry 4.0 research: a longitudinal and dynamic analysis","source":"openalex","abstract":"Abstract Industry 4.0 represents a significant shift in industrial practices, presenting unique opportunities to improve manufacturing via advanced digital technologies and sustainable processes. The rapid growth of Industry 4.0 research has uncovered a significant knowledge gap and emphasized the need for studies adopting dynamic and longitudinal perspectives to understand this field’s evolution comprehensively. This study meticulously analyzes 10,176 articles to investigate the thematic evolution and knowledge transfer mechanisms within Industry 4.0. The examination reveals four distinct sub-periods, each characterized by thematic transitions, starting with foundational themes such as simulation and cyber-physical systems, progressing to later focuses on cloud computing, convolutional neural networks, and digital twin technologies. As research progresses, themes like production facilities, monitoring, and security highlight the shift towards automation, real-time monitoring, and strong data security measures. Five primary thematic domains are identified: (1) core enablers of sustainable smart manufacturing, (2) innovation and strategic transformation, (3) smart and secure manufacturing systems, (4) advanced data-driven manufacturing technologies, and (5) AI-driven real-time monitoring and production. These domains illustrate a transition from fundamental enablers like the Internet of Things (IoT) to more intricate AI-based applications. The main path analysis indicates a shift in emphasis, moving from essential digital integration towards sustainability, digital transformation, and resource efficiency applications. The findings reveal significant implications and highlight Industry 4.0 as a driving force for sustainable and resilient industrial ecosystems.","url":"https://doi.org/10.1007/s42488-025-00146-3","authors":["Abderahman Rejeb","Karim Rejeb","Edit Süle","Abdo Hassoun","John G. Keogh"],"tags":["Dynamic capabilities","Knowledge flow","Business","Computer science","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-07","doi":"https://doi.org/10.1007/s42488-025-00146-3","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7164306670","name":"Bridging Model-Based Systems Engineering, Digital Twins, and Cyber-Physical Manufacturing Systems: A Foundational Framework for Operational Excellence","source":"openalex","abstract":"The accelerating complexity of modern manufacturing demands a unified approach to align system design, operational execution, and continuous improvement. Model-Based Systems Engineering (MBSE), Digital Twins (DTs), and Manufacturing Operations Management (MOM) each contribute critical but fragmented capabilities across this continuum, while Cyber-Physical Systems (CPS) enable real-time coupling between digital and physical layers. Despite their conceptual complementarity, the literature lacks an integrative framework that connects these domains into a continuous information and decision flow supporting Operational Excellence. This paper conducts a systematic bibliographic synthesis of 97 peer-reviewed studies and standards (INCOSE, ISO 23247, ISA-95) to develop the Dynamic Digital Thread Framework (DDTF)—a foundational architecture for digitally continuous, cyber-physical manufacturing ecosystems. The DDTF aligns MBSE’s model-centric discipline with DT’s analytical intelligence, MOM’s executional control, and CPS’s real-time adaptability. Through this integration, the framework operationalizes Lean and Six Sigma principles within a digital architecture capable of reducing conversion cost, synchronizing the 4Ms (Man, Machine, Material, Method), and eliminating non-value-added activities. The study contributes a theoretically grounded yet industry-relevant foundation for future empirical research on digital continuity and cyber-physical integration. By reframing digital transformation as a systemic redefinition of knowledge flow and decision logic—rather than a technology deployment—the DDTF establishes a conceptual bridge between engineering intent and operational reality, enabling sustainable Operational Excellence in the era of Industry 5.0.","url":"https://doi.org/10.67294/w1jdxb80","authors":["Oscar Antonio Silva Sprock"],"tags":["Operational excellence","Digital transformation","Computer science","Cognitive reframing","Synchronizing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.67294/w1jdxb80","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4410594990","name":"Digital inclusive finance for green transformation: Insight from green innovation, industrial upgrading, and employment quality","source":"openalex","abstract":"Understanding the influence of digital inclusive finance (DIF) on inclusive green growth (IGG) is crucial for promoting the green transformation and sustainable development of developing economies. This study explores the effect of DIF on IGG in Chinese cities, and how DIF affects IGG by effectively coupling financial instruments with green transformation goals through a “triple mediation mechanism”. The findings reveal that DIF significantly promotes IGG, as well as economic growth, income distribution, welfare inclusiveness, and environmental protection. Furthermore, green technology innovation, industrial upgrading, and employment quality play a mediating role in the DIF-IGG relationship. Additionally, the main effect is stronger in the east and south, and cities with higher level of economic development, industrial upgrading, population density, agricultural entrepreneurship, and non-agricultural entrepreneurship, as well as in the 2016–2022 period. Overall, this study reveals the mechanisms and effects of DIF on IGG, expands the scope of research on economic green transformation, and provides new empirical evidence and valuable references for advancing financial sustainability and IGG in China and other developing countries. It also offers insights into addressing the current global ecological and environmental crises, and economic inequality.","url":"https://doi.org/10.1016/j.jik.2025.100726","authors":["Wulin Wu","Xiaowen Lin"],"tags":["Green innovation","Transformation (genetics)","Quality (philosophy)","Business","Economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1016/j.jik.2025.100726","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W3014356075","name":"Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces","source":"openalex","abstract":"Recent advances in technology have empowered the widespread application of cyber-physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to Vhuman-cyber-physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.","url":"https://doi.org/10.3390/s20072011","authors":["Shengjing Sun","Xiaochen Zheng","Bing Gong","Jorge García Paredes","Joaquín Ordieres‐Meré"],"tags":["Cyber-physical system","Architecture","Context (archaeology)","Computer science","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-04-03","doi":"https://doi.org/10.3390/s20072011","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4394018590","name":"Constructing the future: Policy-driven digital fabrication in China's urban development","source":"openalex","abstract":"Digital fabrication technologies, such as 3D printing and CNC (Computer Numerical Control) machining, are spearheading a transformative shift in urban development across China. This movement is underpinned by robust governmental support and attractive financial incentives, which are pivotal in fostering innovation within the realms of construction and architectural design. The integration of these cutting-edge technologies is poised to redefine conventional construction methodologies, promising unprecedented levels of efficiency and precision. This evolution extends beyond mere construction efficiency; it is instrumental in the emergence of smart cities, enhancing urban services and infrastructures and advancing sustainability goals. The deployment of digital fabrication techniques signifies a pivotal moment in China's urbanization journey, ushering in a new epoch where the dynamics of urban construction and design are fundamentally altered. This paradigm shift is anticipated to have profound implications for the future of urban development, offering exciting opportunities for innovation and sustainability. With digital fabrication at the helm, China is navigating towards a future where urban environments are not only more efficiently constructed but are also more responsive to the evolving needs and aspirations of their inhabitants. The result is a promising horizon for urban development, where the fusion of technology, sustainability, and smart urban planning paves the way for cities that are not only more livable but also emblematic of future-forward thinking and environmental stewardship.","url":"https://doi.org/10.1016/j.rineng.2024.102096","authors":["Haoxuan Yu","Bodong Wen","Izni Zahidi","Chow Ming Fai","Dag Øivind Madsen"],"tags":["Sustainability","Transformative learning","Urbanization","China","Incentive"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-06","doi":"https://doi.org/10.1016/j.rineng.2024.102096","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4398168967","name":"The role of agglomeration in digitalisation and productivity: an empirical examination of manufacturing SMEs in South Korea","source":"openalex","abstract":"This study examines the relationship between regional agglomeration and the digitalisation of manufacturing small and medium enterprises (SMEs), and how this interplay affects their productivity.Using two analytical models, we investigate the correlation of regional agglomeration factors such as industrial specialisation, related and unrelated variety, urbanisation economies and the spatial concentration of suppliers with SMEs' digitalisation level in South Korea.Our findings indicate that related variety within regional agglomerations positively influences digital innovation, facilitating knowledge spillovers particularly beneficial for SMEs with higher levels of digitalisation.The study reveals a differentiated impact of agglomeration economies on SMEs based on their digital maturity.While high-level digitalised enterprises benefit from related variety and urbanisation economies, those in the initial stages of digital adoption gain proximity to digital technology suppliers.The 2SLS models further demonstrate that digitalisation significantly enhances productivity across all levels of digital technology adoption among SMEs.This study emphasises the conditional nature of the effects of regional agglomeration on digitalisation and productivity, advocating for nuanced support strategies that cater to the varying digital maturity stages of SMEs, which are valuable for policymakers and business leaders in fostering a supportive regional ecosystem that propels SMEs towards greater productivity in the digital economy.","url":"https://doi.org/10.1080/19761597.2024.2355223","authors":["Taelim Choi","Jeong-Il Park"],"tags":["Economies of agglomeration","Empirical examination","Productivity","Business","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-21","doi":"https://doi.org/10.1080/19761597.2024.2355223","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4307880069","name":"Evaluating digital maturity of education","source":"openalex","abstract":"Introduction. The article examines the problem of digital transformation of modern society and education in the context of the general logic of present and future technological revolutions, called Industries 4.0 and 5.0. The purpose of the article is to identify the characteristic features of the modern understanding of digital maturity in education and the specifics of its evaluation methods (metrics). Materials and Methods. The methodology for solving the problem is based on the general research methods (synthesis and generalization of international and Russian publications focused on the stated problem). Results. The authors have analyzed and clarified the modern understanding of the concept of digital maturity in general and digital maturity of education in particular. It is noted that the currently emerging theoretical concept of digital maturity plays an essential role in determining key guidelines in the process of searching for appropriate strategies for digital transformation of education. The paper presents a comprehensive analysis of international and Russian evaluation inventories (metrics) of digital maturity, including education, aimed exclusively at the processes of collection and processing of quantitative indicators of evaluated industries at the micro-level. The existing methods of assessing digital maturity of education are supplemented by the approach developed by the authors which works at the macro level and expands the heuristic potential of existing assessment methods. Conclusions. The authors summarize the peculiarities of the modern understanding of digital maturity in education as an integral characteristic feature of introduction and implementation of end-to-end technologies within main educational processes.","url":"https://doi.org/10.15293/2658-6762.2205.03","authors":["В. В. Вихман","Mark V. Romm"],"tags":["Maturity (psychological)","Context (archaeology)","Digital transformation","Computer science","Capability Maturity Model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-10-31","doi":"https://doi.org/10.15293/2658-6762.2205.03","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412087679","name":"Additive Manufacturing of Biodegradable Metallic Implants by Selective Laser Melting: Current Research Status and Application Perspectives","source":"openalex","abstract":"Biodegradable metallic implants represent a paradigm shift in implantology, eliminating secondary removal surgeries through predictable controlled degradation. This review systematizes current achievements in selective laser melting (SLM) of biodegradable metals (Mg, Fe, Zn), analyzing how processing parameters influence microstructure, mechanical properties, and degradation kinetics. Key findings demonstrate that SLM-produced Mg alloys achieve bone-matching modulus (40–45 GPa) with moderate degradation (1–3 mm/year); Fe-based systems provide superior strength (400–600 MPa) but slower degradation (0.1–0.5 mm/year); while Zn alloys offer intermediate properties. Design strategies for porous/lattice structures enhancing osseointegration and enabling property gradients are discussed. Major challenges include controlling degradation kinetics, optimizing SLM parameters for reactive metals, standardizing testing methodologies, and regulatory harmonization. This comprehensive analysis provides systematic guidelines for material selection and process optimization, establishing a foundation for developing next-generation personalized biodegradable implants.","url":"https://doi.org/10.3390/met15070754","authors":["Anna Gracheva","Igor Polozov","Anatoly Popovich"],"tags":["Selective laser melting","Materials science","Current (fluid)","Metallurgy","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-04","doi":"https://doi.org/10.3390/met15070754","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414863302","name":"Digital Twin of a Cyber-Physical System for Washing Agricultural Machinery","source":"openalex","abstract":"The purpose of this article is to develop a functional architecture of a digital twin as a component of a cyber- physical system for washing agricultural machinery, taking into account the real condition of the object being cleaned. Special attention is paid to ensuring adaptive control of the washing process based on current sensor data and forecasting of cleaning parameters to improve energy efficiency, optimize resource consumption, and reduce operator workload. The research presents the functional interaction scheme of the system's core levels – physical, sensor, control (PLC), supervisory (SCADA), and digital twin level. A mathematical model is proposed based on the assessment of surface contamination level, machinery dimensions, temperature, and pressure. These input parameters form a feature vector, which is processed by a forecasting model that determines the optimal cleaning time and generates control signals for actuators. In the software implementation, the model consists of three key modules – input data processing, numerical integration of equations, and adaptive logic. To determine the optimal washing cycle duration, a neural network module trained on historical data is applied. The study confirms the feasibility of using a digital twin within a cyber-physical system for the efficient and intelligent cleaning of agricultural equipment. The application of the forecasting model allows real-time adaptation of the process, significantly reducing water, electricity, and detergent consumption. The proposed approach facilitates the transition from conventional to intelligent technologies integrated into the digital manufacturing infrastructure and contributes to the implementation of Industry 4.0 principles in Ukrainian mechanical engineering.","url":"https://doi.org/10.32515/2664-262x.2025.12(43).1.253-264","authors":["Orest Filkin","Аnatoliy Тryhuba"],"tags":["Process (computing)","Artificial neural network","Component (thermodynamics)","Engineering","Control engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.32515/2664-262x.2025.12(43).1.253-264","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407142198","name":"Implementation of Additive Manufacturing Technologies for the Growth and Sustainability of Manufacturing SMEs in Saudi Arabia: An Exploratory Study","source":"openalex","abstract":"International distribution compels global value chain members to demand highly innovative and technological advancements in their products and processes. The members include small, medium, and large enterprises from both the manufacturing and service categories. Due to short product lifecycles and resource limitations, SMEs are unable to fulfill global value chain requirements in terms of new product development, consequently struggling to sustain manufacturing. In Saudi Arabia, more than 10% of SMEs currently belong to the manufacturing sector, and the majority continue to use conventional manufacturing technologies. Against this backdrop, and to strengthen existing SMEs and enhance their growth, the author conducted a comprehensive literature review on the applicability of additive manufacturing technologies in the manufacturing of various products. The review indicated that the implementation of additive manufacturing technologies faces several difficulties; thus, the author selected two manufacturing SMEs to obtain information on the necessary requirements to implement additive manufacturing technologies. The author interacted with executives from two manufacturing companies, one located in Sudair Industrial City and the other in the industrial center of Dammam. These interactions revealed that better financing, industry–academia collaborations, and stronger inter-company ties boost the adoption of additive manufacturing and support SME growth. Optimizing the use of resources, minimizing the use of materials during the production process through the use of 3D printing technologies, and optimizing time and labor costs help to enhance the economy, which is one of the main components of sustainability.","url":"https://doi.org/10.3390/su17031249","authors":["Saleh Ahmed Aldahash"],"tags":["Sustainability","Business","Manufacturing engineering","Exploratory research","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-04","doi":"https://doi.org/10.3390/su17031249","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4408420154","name":"Computer Aided Engineering Design and Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-77106-4","authors":["Wasim Ahmed Khan","Volkan Esat","Muhammad Hammad","Hassan Ali","Muhammad Qasim Zafar","Rashid Ali"],"tags":["Manufacturing engineering","Computer science","Engineering drawing","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1007/978-3-031-77106-4","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7117152735","name":"Hybrid AI Systems for Tool Wear Monitoring in Manufacturing: A Systematic Review","source":"openalex","abstract":"Tool wear is critical to quality, productivity, and sustainability in manufacturing processes. Therefore, accurately monitoring and predicting wear is one of the primary goals of smart manufacturing systems. While AI-based approaches have achieved significant success in this area in recent years, issues such as physical inconsistency, limited generalizability, and low interpretability associated with solely data-driven methods have necessitated the development of hybrid approaches. This study systematically examines the literature published between 2020 and 2025 and comprehensively analyzes hybrid AI systems used in tool wear monitoring. Hybrid systems are categorized into four main groups: physics-based hybrids, knowledge-driven hybrids, transfer learning-based hybrids, and heterogeneous model hybrids. This classification holistically evaluates the synergistic effects and performance gains achieved by combining different methods. The findings demonstrate that the combined use of physical models, expert knowledge, and data-driven learning approaches provides significant advantages in terms of both accuracy and explainability. However, challenges such as data shortage, model complexity, and computational cost remain limitations to widespread industrial use of hybrid systems. The study demonstrates that hybrid AI systems represent a new research direction enabling the development of more reliable, transparent, and efficient solutions in smart manufacturing.","url":"https://doi.org/10.3390/app16010208","authors":["Büşra Tan Saatçı","Mustafa Ulaş","Turan Gürgenç"],"tags":["Interpretability","Computer science","Hybrid system","Artificial intelligence","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-24","doi":"https://doi.org/10.3390/app16010208","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W3031660932","name":"The Myths and Moral Economies of Digital ID and Mobile Money in India and Myanmar","source":"openalex","abstract":"The diffusion of major new technologies in society is often accompanied by a set of myths that tell us how these technologies will change, clearly for the better, the social and economic fabric of a community. Digital technologies are associated with myths such as the death of distance and of mediators, the end of history and of politics (Brown and Duguid 2000; Mosco 2004). We build on Mosco’s idea of myth as a force shaping discourses around the introduction of new technologies in the context of the deployment of digital artifacts such as digital ID systems and mobile money platforms in the Global South (Mosco 2004). Using the examples of the Unique Identification system (Aadhaar) in India and mobile money in Myanmar, we show how these myths persist long after technologies are in common use. We also examine how, in practice, the use of these technologies seldom aligns with the mythology surrounding them, and it is, instead the moral economy of the communities where they are deployed that mediates their use (Thompson 1971). We argue that local histories of state-making and the larger political economy of technology design can help explain the persistence of the mythology around digital technologies despite the disconnect between myths and reality.","url":"https://doi.org/10.17351/ests2020.276","authors":["Janaki Srinivasan","Elisa Oreglia"],"tags":["Mythology","Politics","Context (archaeology)","State (computer science)","Sociology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-28","doi":"https://doi.org/10.17351/ests2020.276","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4377043595","name":"Business Model Innovation in the German Industry: Case Studies from the Railway, Manufacturing and Construction Sectors","source":"openalex","abstract":"For a long time, the business activities of industrial companies in mechanical engineering, plant construction or the automotive industry focused on products and product-related services. Digital pioneers have refined these products such as machinery, equipment, and devices with data-driven services, which they make available worldwide via digital platforms. This emerging trend influences existing and future business models of all companies. This transition from product-related, single-sided markets to platform markets is characteristic of the digital age. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business models in the industry by providing practical examples of business model innovations in three industries.","url":"https://doi.org/10.24840/2183-0606_011.001_0001","authors":["Johannes Winter"],"tags":["Business model","Automotive industry","Product-service system","German","Order (exchange)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-04","doi":"https://doi.org/10.24840/2183-0606_011.001_0001","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4404007266","name":"Industry 4.0 factors affecting SMEs towards sustainable manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.techsoc.2024.102746","authors":["Nagendra Kumar Sharma","Vimal Kumar","Pratima Verma","Mahak Sharma","Ashwaq Al Khalil","Tuğrul Daim"],"tags":["Business","Industrial organization","Manufacturing","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-11-02","doi":"https://doi.org/10.1016/j.techsoc.2024.102746","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411119947","name":"Melt-based additive manufacturing of refractory metals and alloys: Experiments and modeling","source":"openalex","abstract":"Refractory metals and alloys possess unique properties, such as high melting points and excellent mechanical stability at elevated temperatures, making them attractive for aerospace, nuclear, and other demanding industries. However, fabrication of these materials using traditional manufacturing techniques is challenging due to their high melting points and intrinsic brittleness. Additive manufacturing (AM) techniques provide an approach to mitigate some of these challenges, but systematic insights into their process parameters, microstructure control, and mechanical performance remain fragmented in the literature. This paper provides an overview of the challenges and future prospects associated with melt-based AM of refractory metals and alloys from the perspectives of experiments, physics-based models, and machine learning approaches. Our review concludes by summarizing the frontiers in the field and highlighting the future developments necessary to enable efficient AM fabrication of refractory metals and alloys.","url":"https://doi.org/10.1016/j.jmrt.2025.05.207","authors":["Mohammad Younes Araghi","Ali Dashti","Mahshad Fani","Iman Ghamarian","César Ruiz","Shuozhi Xu"],"tags":["Materials science","Refractory metals","Refractory (planetary science)","Metallurgy"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-07","doi":"https://doi.org/10.1016/j.jmrt.2025.05.207","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W2909214268","name":"Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs","source":"openalex","abstract":"The present review retraces the steps of the industrial and agriculture revolution that have taken place up to the present day, giving ideas and considerations for the future. This paper analyses the specific challenges facing agriculture along the farming supply chain to permit the operative implementation of Industry 4.0 guidelines. The subsequent scientific value is an investigation of how Industry 4.0 approaches can be improved and be pertinent to the agricultural sector. However, industry is progressing at a much faster rate than agriculture. In fact, already today experts talk about Industry 5.0. On the other hand, the 4.0 revolution in agriculture is still limited to a few innovative firms. For this reason, this work deals with how technological development affects different sectors (industry and agriculture) in different ways. In this innovative background, despite the advantages of industry or agriculture 4.0 for large enterprises, small- and medium-sized enterprises (SMEs) often face complications in such innovative processes due to the continuous development in innovations and technologies. Policy makers should propose strategies, calls for proposals with aim of supporting SMEs to invest on these technologies and making them more competitive in the marketplace.","url":"https://doi.org/10.3390/pr7010036","authors":["Ilaria Zambon","Massimo Cecchini","Gianluca Egidi","Maria Grazia Saporito","Andrea Colantoni"],"tags":["Agriculture","Business","Work (physics)","Industrial organization","Industrial Revolution"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-01-11","doi":"https://doi.org/10.3390/pr7010036","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415385031","name":"A systematic review of decision tools for process selection and performance improvement in manufacturing","source":"openalex","abstract":"The growing complexity of manufacturing processes and the increasing diversity of decision-making tools present challenges in selecting effective approaches for process optimisation. Many existing tools are either too narrowly focused or inconsistently applied across sectors, limiting their broader impact. Additionally, the lack of clear integration strategies often hinders their full implementation in industrial settings. This systematic review examines decision-making tools that enable comparative assessments applied at the unit process level in manufacturing, covering both the selection between competing manufacturing routes and the optimisation of specific processes. A total of 37 journal articles were selected through a structured database search and evaluation process. The review analyses commonly used tools such as Multi-Criteria Decision Analysis (MCDA), Life Cycle Assessment (LCA), and Direct Comparison, highlighting their applications, benefits and limitations. Findings show that MCDA offers robust, multi-dimensional evaluations but is often constrained by complexity and data demands. In contrast, simpler methods like Direct Comparison provide more accessible insights but with a limited scope. Advanced tools such as Deep Learning and Computational Simulations hold promise but face challenges in scaling beyond the process level. Notably, there is limited integration of sustainability metrics within process-level decision-making. To address this, the study proposes a structured framework to guide future research and implementation, focusing on data management, AI integration and tool scalability. The results highlight the need for hybrid approaches that combine different tools to balance trade-offs and support long-term sustainability and operational efficiency in manufacturing systems.","url":"https://doi.org/10.1007/s00170-025-16806-y","authors":["Ziyad Sherif","Konstantinos Salonitis"],"tags":["Process (computing)","Computer science","Selection (genetic algorithm)","Sustainability","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-21","doi":"https://doi.org/10.1007/s00170-025-16806-y","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W3195023828","name":"Challenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cybernetics","source":"openalex","abstract":"Industry 4.0 has risen as an integrated digital manufacturing environment, and it has created a novel research perspective that has thrust research to interdisciplinarity and exploitation of ICT advances. This work presents and discusses the main aspects of Industry 4.0 and how intelligence can be embedded in manufacturing to create the smart factory. It briefly describes the main components of Industry 4.0, and it focuses on the security challenges that the fully interconnected ecosystem of Industry 4.0 has to meet and the threats for each component. Preserving security has a crucial role in Industry 4.0, and it is vital for its existence, so the main research directions on how to ensure the confidentiality and integrity of the information shared among the Industry 4.0 components are presented. Another view is in light of the security issues that come as a result of enabling new technologies.","url":"https://doi.org/10.3390/electronics10162001","authors":["Vasiliki Liagkou","Chrysostomos Stylios","Lamprini Pappa","Alexander Petunin"],"tags":["Industry 4.0","Mechatronics","Component (thermodynamics)","Factory (object-oriented programming)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-08-19","doi":"https://doi.org/10.3390/electronics10162001","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4416861929","name":"Experimental Validation and Dynamic Analysis of Additive Manufacturing Burner for Gas Turbine Applications","source":"openalex","abstract":"In the context of a rapidly evolving energy sector, the development of hydrogen-ready gas turbines, a key milestone in the energy transition toward decarbonization, requires advanced gas injectors capable of operating with both natural gas and hydrogen. Additive manufacturing (AM) significantly accelerates the iterative design process, enabling the production of single-piece, fully three-dimensional components and supporting rapid prototyping with optimized process parameters. Early assessment of component durability, particularly structural damping, is crucial to predicting dynamic response and high-cycle fatigue life, reducing costly design modifications in later stages. In this work, a methodology is proposed for structural damping characterization at the early prototypal stage, combining ping test measurements with a numerical approach based on the Half-Power Bandwidth Method (HBM) enhanced by an iterative procedure. This approach enables the accurate estimation of representative damping values for low-mass, high-stiffness components, overcoming the limited accuracy of standard Rayleigh damping models at this stage. The methodology was applied to a gas turbine burner manufactured via additive manufacturing, demonstrating that even with partial experimental data, it is possible to obtain reliable damping estimates, support rapid design iteration, and ensure convergence toward optimal mechanical performance.","url":"https://doi.org/10.3390/machines13121111","authors":["Alessio Cascino","Enrico Meli","Andrea Rindi","Egidio Pucci","Emanuele Matoni"],"tags":["Combustor","Context (archaeology)","Computer science","Iterative and incremental development","Mechanical engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-01","doi":"https://doi.org/10.3390/machines13121111","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4408833968","name":"Optimizing Asset Integrity for Critical Manufacturing Systems Using Advanced Proactive Maintenance Strategies","source":"openalex","abstract":"Asset Integrity Management (AIM) is fundamental for optimizing asset performance by improving reliability, availability, maintainability, and safety (RAMS), while minimizing operational risks and costs. Failures in critical assets can result in substantial financial losses, safety hazards, and environmental consequences, highlighting the need for proactive maintenance strategies. This study introduces an innovative AIM framework that seamlessly integrates advanced technologies with proven methodologies to address these challenges. The framework combines Machine Learning (ML) for predictive analytics, enabling early fault detection, and Digital Twins (DT) for real-time asset monitoring and simulation. It also incorporates established approaches such as Risk-Based Inspection (RBI), Reliability-Centered Maintenance (RCM), Total Productive Maintenance (TPM), and Lean Six Sigma (LSS). This integration forms a holistic, datadriven approach to decision-making, operational optimization, risk reduction, and continuous improvement. A comprehensive literature review identifies critical gaps in traditional AIM practices, particularly the limited integration of emerging technologies and methodologies. The proposed framework bridges these gaps, enhancing asset performance, safety, and sustainability. This research highlights the transformative potential of combining advanced technologies with established AIM methodologies. It offers a strategic roadmap for industries to improve asset integrity, achieve operational excellence, and foster long-term sustainability. To the author’s knowledge, this is the first study to unify these six methodologies into a cohesive framework, providing valuable insights for implementing advanced maintenance strategies in complex industrial environments.","url":"https://doi.org/10.35940/ijese.b2026.13040325","authors":["Attia Hussien Gomaa"],"tags":["Asset (computer security)","Risk analysis (engineering)","Business","Integrity management","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-25","doi":"https://doi.org/10.35940/ijese.b2026.13040325","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412077941","name":"Leveraging Digital Intelligence Technologies for Green Shipping: Organization Information Processing and Contingency Perspective","source":"openalex","abstract":"ABSTRACT This study investigates how digital intelligence technology applications (DITAs) enhance green shipping management performance (GSMP) by improving organizational capabilities in the face of environmental uncertainty. Drawing on organizational information processing theory and contingency theory, we develop a framework that examines the mediating roles of data analytics capability and business process reengineering and the moderating effects of green supply chain integration. A two‐wave survey was conducted in China and Korea, with 205 responses collected from shipping organizations between May and August 2023. Structural equation modeling and multigroup analysis were employed. The results show that DITA significantly improves data analytics capability and business process reengineering. Meanwhile, green internal integration strengthens the effects of both data analytics capability and business process reengineering on GSMP, whereas green supplier and customer integration only enhance the impact of business process reengineering. These results offer new insights into how improvements in information processing capabilities, supported by digital and integrative mechanisms, can promote sustainable practices in the shipping industry. Practical implications are provided for managers seeking to build adaptive, digitally enabled, and environmentally aligned shipping strategies.","url":"https://doi.org/10.1002/bse.70056","authors":["Qiwei Pang","Xin Liu","Miao Su"],"tags":["Perspective (graphical)","Contingency","Knowledge management","Business","Contingency plan"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-07","doi":"https://doi.org/10.1002/bse.70056","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4392962945","name":"THE IMPACT OF ADVANCED ROBOTICS AND AUTOMATION ON SUPPLY CHAIN EFFICIENCY IN INDUSTRIAL MANUFACTURING: A COMPARATIVE ANALYSIS BETWEEN THE US AND BANGLADESH","source":"openalex","abstract":"This study explores the contrasting approaches to robotics integration in manufacturing processes employed by Bangladesh and the United States. By examining three distinct case studies – garment manufacturing, high-tech manufacturing, and agriculture – the analysis reveals significant variations in adoption rates, technological focus, and strategic implementation. These disparities stem from each nation's unique economic landscape, industrial structure, and labour market dynamics. Bangladesh, characterised by low-wage labour in garment manufacturing, cautiously incorporates automation technologies like Sewbots to enhance long-term efficiency and product quality. Conversely, the U.S. garment industry strategically utilises robots for specialised tasks in niche markets, seeking a competitive advantage through precision and design innovation. In high-tech manufacturing, the U.S. leverages readily available commercial solutions and a skilled workforce for extensive robotics adoption, ensuring precision and consistency in complex processes. Bangladesh acknowledges these benefits but faces challenges related to cost and skills gaps, necessitating capability building and strategic partnerships for future integration. Both countries recognise the high potential of robotics in agriculture; however, the U.S. combats labour shortages and enhances efficiency through advanced solutions like farming robots and UAVs. Bangladesh explores automation to increase yield and reduce manual labour dependence. This comparative analysis contributes to understanding global manufacturing and supply chain optimisation by highlighting the diverse factors influencing robotics adoption across nations. The research suggests a future where the U.S. refines and expands advanced robotics use. Bangladesh strategically invests in and develops its workforce, potentially forming partnerships to integrate robotics into high-tech manufacturing and agriculture. As robotics and automation technologies evolve, both countries stand to benefit by embracing these advancements while navigating the challenges to ensure a smooth transition toward a more automated and efficient future for their manufacturing sectors.","url":"https://doi.org/10.62304/jbedpm.v3i03.86","authors":["Mahboob Al Bashar, Md Abu Taher, Md Khyrul Islam & Hasib Ahmed"],"tags":["Automation","Manufacturing engineering","Robotics","Supply chain","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-16","doi":"https://doi.org/10.62304/jbedpm.v3i03.86","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7128530370","name":"Implementing an Operational Digital Twin for Optimizing Water Motor Operations in Resource-Constrained Environments","source":"openalex","abstract":"Small centrifugal pumps critical for rural and peri-urban water supply often lack advanced monitoring. This study develops a low-cost operational Digital Twin (DT) for a 3.7 kW induction motor pump at IIIT-Hyderabad (IIIT-H), optimised for resource-constrained settings with limited bandwidth and power. Using an ESP32 gateway, temperature, current, and vibration data are streamed to ThingSpeak, stored in MongoDB, and synchronised with a Simulink model via Eclipse Ditto. The system continuously compares simulated and actual pump data and raises alerts when abnormal behaviour is detected using a Root Mean Square Error (RMSE)-based anomaly detector. A dashboard was developed to enable remote motor operation and automated shutdown during unsafe conditions. The twin operates in a partially closed-loop mode: sensor streams continuously update the virtual model and generate alerts, while relay-based actuation allows automated start/stop motor operation. From August to November 2024, 160,000 minutely-sampled records demonstrated an≈8-second end-to-end latency, which is characterised as near real-time and adequate for supervisory pump monitoring. This meets the SCADA real-time standards, with 5% modelling error. The system enabled anomaly detection, detecting faults hours early without labelled data, and achieved rapid operator adoption with minimal training. This open-source solution bridges a research gap for 3-5 HP pumps, offering a scalable blueprint for small utilities and supporting future enhancements like fully closed-loop control.","url":"https://doi.org/10.1109/access.2026.3663445","authors":["Ankit Kriti","Kratika Tomar","Vadla Nithin Narasimha","Shailesh Singh Chouhan","Sachin Chaudhari"],"tags":["Computer science","Induction motor","Scalability","SCADA","Real-time computing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/access.2026.3663445","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7117658103","name":"Design of a Digital Twin System for Deepwater Installation Systems","source":"openalex","abstract":"ABSTRACT With the rapid advancement of deepwater oil and gas exploration, subsea operations are facing increasingly complex environments and technical challenges. As water depth increases, the difficulty of installation, operational risks and uncertainties grow significantly, resulting in shorter weather windows, limited real‐time response and higher safety requirements. To address these challenges and enhance operational efficiency and safety, this paper proposes a digital twin‐based support system for deepwater subsea installation. The system integrates heterogeneous data sources to establish dynamic mappings between physical assets and their digital counterparts, enabling real‐time monitoring, predictive analysis and intelligent decision‐making across the entire installation lifecycle. By incorporating environmental sensing, dynamic simulation and virtual‐reality interaction, the digital twin system supports task planning, risk forecasting and remote operations in complex subsea conditions. A case study is presented to demonstrate the system's effectiveness in improving decision efficiency and reducing operational risk. The research provides a theoretical foundation and technical pathway for the intelligent and digital transformation of deepwater offshore engineering.","url":"https://doi.org/10.1049/dgt2.70020","authors":["Song Chen","Z. Wang","Shuo Wang","Lizhi Duan","Jianhang Wu","Renhui Wu","Yan Qu"],"tags":["Subsea","Task (project management)","Systems engineering","Submarine pipeline","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-31","doi":"https://doi.org/10.1049/dgt2.70020","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411352410","name":"Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing","source":"openalex","abstract":"Abstract The scheduling of complex job shop manufacturing environments is a difficult and NP-hard optimization problem. It is tackled increasingly with AI-based methods, often by reinforcement learning approaches. So far, this is mostly an academic endeavor as the trust in such systems is limited. The neural networks representing the policy are often seen as a black box by domain experts. By proposing a holistic approach to make such policies more interpretable and explainable, we hope to bridge the gap between academia and industry. With increasing trust in the solution, it becomes closer to being deployed in a real manufacturing environment. We propose a combination of different statistical and well-established ML-based methodologies to analyze single state-action explanations as well as the overall strategy and apply them to pretrained agents on open-source benchmark simulation models. This allows us to deliver humanly understandable explanations for the policies of the analyzed agents.","url":"https://doi.org/10.1007/s10845-025-02631-3","authors":["Alessandro Immordino","Patrick Stöckermann","Niels Hayen","Thomas Altenmüller","Gian Antonio Susto","Martin Gebser","Konstantin Schekotihin","Georg Seidel"],"tags":["Reinforcement learning","Scheduling (production processes)","Semiconductor device fabrication","Industrial engineering","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-16","doi":"https://doi.org/10.1007/s10845-025-02631-3","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4392951158","name":"Towards the Uptake of Digital Technologies for Construction Information Management: A Partial Least Squares Structural Equation Modelling Approach","source":"openalex","abstract":"The primary objective of this study survey is to close knowledge gaps by measuring the responses from construction experts and investigating the significant effects of using digital technologies in construction information management (CIM). This is attributed to the lack of thorough knowledge among construction professionals on the implications and efficacy of incorporating digital tools in construction information management. A thorough analysis of the literature on the use of digital technologies revealed outcomes related to digitized ways of managing construction information, which were then contextually tailored through a pilot study and presented in the form of a postulated model. A total of 257 stakeholders in the building industry were given questionnaire surveys to complete in order to gather primary data. The final model of the result of adopting digital technology was statistically validated using partial least squares structural equation modelling (PLS-SEM). By concentrating on the quantitative contribution of the most important result to the adoption of digital technologies throughout the process of CIM, this study closes this knowledge gap. The three primary benefits that digital technologies have the most influence on are communication, operational efficiency, and market intelligence, according to this paper’s conclusions. The research showed that encouraging relationships that enable the use of digital technologies should be promoted between technology providers and construction companies. In order to adopt and improve digital solutions, construction firms and technology providers will be able to collaborate in an ecosystem. By shedding light on the implementation and impact of digital technologies in the construction sector, the study helps to close this knowledge gap. The study offers valuable information for upcoming initiatives that support digital transformation through construction methods. The results serve as instructions for the government authorities to help them focus their efforts and distribute their resources more effectively.","url":"https://doi.org/10.3390/buildings14030827","authors":["Peter Adekunle","Clinton Aigbavboa","Opeoluwa Akinradewo","Matthew Ikuabe","Kenneth Otasowie"],"tags":["Structural equation modeling","Partial least squares regression","Computer science","Engineering","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-19","doi":"https://doi.org/10.3390/buildings14030827","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4414664059","name":"Technological Innovations in Sustainable Civil Engineering: Advanced Materials, Resilient Design, and Digital Tools","source":"openalex","abstract":"Civil engineering today faces the challenge of responding to climate change, rapid urbanization, and the need to reduce environmental impacts. These factors drive the search for more sustainable approaches and the adoption of digital technologies. This article addresses three principal dimensions: advanced low-impact materials, resilient structural designs, and digital tools applied throughout the infrastructure life cycle. To this end, a systematic search was conducted considering studies published between 2020 and 2025, including both experimental and review works. The results show that materials such as geopolymers, biopolymers, natural fibers, and nanocomposites can significantly reduce the carbon footprint; however, they still face regulatory, cost, and adoption barriers. Likewise, modular, adaptable, and performance-based design proposals enhance infrastructure resilience against extreme climate events. Finally, digital tools such as Building Information Modeling, digital twins, artificial intelligence, the Internet of Things, and 3D printing provide improvements in planning, construction, and maintenance, though with limitations related to interoperability, investment, and training. In conclusion, the integration of materials, design, and digitalization presents a promising pathway toward safer, more resilient, and sustainable infrastructure, aligning with the Sustainable Development Goals and the concept of smart cities.","url":"https://doi.org/10.3390/su17198741","authors":["Carlos A. Ligarda-Samanez","Mary Luz Huamán Carrión","Domingo Jesús Cabel Moscoso","Doris Marlene Muñoz Sáenz","Jaime Antonio Martínez Hernández","Antonina Juana García Espinoza","Dante Fermín Calderón Huamaní","Carlos Carrasco","Darwin Pino-Cordero","Reynaldo Sucari León","Yolanda Aroquipa Durán"],"tags":["Resilience (materials science)","Principal (computer security)","Engineering","Sustainable development","Sustainable design"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.3390/su17198741","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4413945761","name":"Exploring the Future of Manufacturing: An Analysis of Industry 5.0’s Priorities and Perspectives","source":"openalex","abstract":"The present study explores the enablers for the integration of Industry 5.0 principles within the automotive industry, emphasizing the transition towards human-centric, sustainable, and resilient manufacturing. This research utilized a three-round Delphi method involving a panel of experts to identify, evaluate, and prioritize key enablers associated with the adoption of Industry 5.0. In order to enhance the analytical depth, consensus trajectory mapping was employed to track opinion convergence across rounds. Fuzzy ranking was applied to provide a more nuanced evaluation of item prioritization. The results indicate a substantial degree of consensus on subjects such as collaborative robotics, cognitive automation, and circular manufacturing. The present study offers theoretical and practical implications, providing a roadmap for researchers and automotive stakeholders seeking to operationalize Industry 5.0 values.","url":"https://doi.org/10.3390/su17177842","authors":["Ana-Maria Ionescu","Ana-Maria Ionescu","Alexandru-Codrin Ionescu","Alexandru-Codrin Ionescu"],"tags":["Business","Industry 4.0","Engineering","Manufacturing engineering","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-31","doi":"https://doi.org/10.3390/su17177842","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W3022128251","name":"Preface for the Special Issue of Green Smart Manufacturing","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s40684-020-00218-2","authors":["József Váncza","Sang Do Noh","Hae-Sung Yoon"],"tags":["Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-05-01","doi":"https://doi.org/10.1007/s40684-020-00218-2","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4390436804","name":"Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review","source":"openalex","abstract":"The fiercely competitive business environment and increasingly personalized customization needs are driving the digital transformation and upgrading of the manufacturing industry. IIoT intelligence, which can provide innovative and efficient solutions for various aspects of the manufacturing value chain, illuminates the path of transformation for the manufacturing industry. It's time to provide a systematic vision of IIoT intelligence. However, existing surveys often focus on specific areas of IIoT intelligence, leading researchers and readers to have biases in their understanding of IIoT intelligence, that is, believing that research in one direction is the most important for the development of IIoT intelligence, while ignoring contributions from other directions. Therefore, this paper provides a comprehensive overview of IIoT intelligence. We first conduct an in-depth analysis of the inevitability of manufacturing transformation and study the successful experiences from the practices of Chinese enterprises. Then we give our definition of IIoT intelligence and demonstrate the value of IIoT intelligence for industries in fucntions, operations, deployments, and application. Afterwards, we propose a hierarchical development architecture for IIoT intelligence, which consists of five layers. The practical values of technical upgrades at each layer are illustrated by a close look on lighthouse factories. Following that, we identify seven kinds of technologies that accelerate the transformation of manufacturing, and clarify their contributions. The ethical implications and environmental impacts of adopting IIoT intelligence in manufacturing are analyzed as well. Finally, we explore the open challenges and development trends from four aspects to inspire future researches.","url":"https://doi.org/10.48550/arxiv.2312.16174","authors":["Yujiao Hu","Qingmin Jia","Yuao Yao","Yong Lee","Mengjie Lee","Chenyi Wang","Xiaomao Zhou","Renchao Xie","F. Richard Yu"],"tags":["Personalization","Computer science","Digital transformation","Value (mathematics)","Knowledge management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-02","doi":"https://doi.org/10.48550/arxiv.2312.16174","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4414618102","name":"The Impact of Technological Innovations on Digital Supply Chain Management: The Mediating Role of Artificial Intelligence: An Empirical Study","source":"openalex","abstract":"Background: This study examines the impact of technological innovations on digital supply chain management, with a focus on the mediating role of artificial intelligence. With global supply chains increasingly relying on digital platforms, the integration of advanced technologies has become essential for achieving efficiency and competitiveness. Methods: The research employs a mixed-methods approach, combining survey data and expert interviews with professionals from Jordan’s industrial sector. It investigates how emerging digital innovations influence supply chain performance and examines the extent to which artificial intelligence contributes to automation, predictive analytics, and data-driven decision-making. Results: The findings reveal that artificial intelligence plays a pivotal role in enhancing the effectiveness of technological innovations within digital supply chain systems. Specifically, AI improves adaptability to market fluctuations, increases operational efficiency, and strengthens strategic flexibility. These outcomes suggest that organizations adopting AI-enabled innovations are better equipped to respond to uncertainty and achieve superior supply chain performance. Conclusions: The study concludes that technological innovations significantly advance digital supply chain management when supported by artificial intelligence as a mediating factor. The integration of AI not only magnifies the value of digital innovations but also enables sustainable performance improvements and reinforces competitiveness in dynamic industrial environments.","url":"https://doi.org/10.3390/logistics9040138","authors":["Ali F. Dalain","Mohammad Alnadi","Mahmoud Allahham","Bohari M. Yamin"],"tags":["Supply chain","Adaptability","Supply chain management","Industrial organization","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-27","doi":"https://doi.org/10.3390/logistics9040138","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415054331","name":"Toward Trustworthy Digital Twinning: Taxonomy, Analysis, and Open Challenges","source":"openalex","abstract":"The proliferation of Digital Twins (DTs) across industries like manufacturing, healthcare, and logistics is leading to the formation of complex ecosystems where heterogeneous DTs must cooperate. In such environments, establishing trust becomes paramount. However, trust in DTs remains an under-investigated problem, with current research predominantly focused on security and privacy, which are prerequisites but not sole constituents of trust. This paper presents a comprehensive framework for analyzing and enhancing the trustworthiness of Digital Twins. First, we propose a novel 5-layer symmetrical reference architecture (Asset, Synchronization, Data, Application, Integration) that models physical and digital twins as peers, improving reusability and maintainability. Using this architecture as a foundation, we then develop a multi-dimensional taxonomy to categorize DT trust issues from three critical perspectives: (1) an architectural perspective, which identifies and maps trust issues (e.g., model accuracy, data latency, application usability) to specific layers and behavioral attributes like conformance and dependability; (2) a massive twinning perspective, which explores emergent challenges in ecosystems of cooperating DTs, such as relationship complexity and data management; and (3) a stakeholder perspective, which addresses the need for both qualitative and quantitative trust assurances. Our analysis reveals that trust is a composite property requiring a holistic approach beyond conventional security. The paper concludes by synthesizing these perspectives into a unified view of DT trust and outlining critical open challenges and future research directions, providing a foundational roadmap for developing truly trustworthy DT systems.","url":"https://doi.org/10.20944/preprints202510.0700.v1","authors":["Farag Azzedin","Turki Alhazmi","Md. Mahfuzur Rahman"],"tags":["Computer science","Trustworthiness","Stakeholder","Knowledge management","Taxonomy (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-10","doi":"https://doi.org/10.20944/preprints202510.0700.v1","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7130662072","name":"Digital twin enabled robot collision detection using time series forecasting","source":"openalex","abstract":"Abstract The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes of operational data. This data surge has fueled the development of advanced Artificial Intelligence (AI) applications, enhancing manufacturing intelligence and efficiency. A key enabler of such intelligence is Time-Series Forecasting (TSF), which leverages historical data to predict future trends and events, thereby providing actionable insights for proactive decision-making. In parallel, Digital Twin (DT) technology has gained significant prominence due to its capacity for bidirectional communication with physical manufacturing systems, enabling unprecedented levels of real-time monitoring, control, and optimization. Despite their benefits, the combined adoption of TSF and DT technologies presents considerable challenges, particularly in developing integrated, closed-loop systems. This study addresses this gap by proposing a novel framework that unifies TSF with DTs for the early detection of potential collisions between manufacturing assets. The framework is demonstrated using a robotic assembly line, with a detailed account of the training and deployment process of a TSF–DT pipeline. The proposed proof-of-concept is designed to be generalizable, offering applicability across diverse manufacturing systems.","url":"https://doi.org/10.1007/s10845-026-02803-9","authors":["Fadi El Kalach","Mojtaba A. Farahani","Philip Samaha","Thorsten Wuest","Ramy Harik"],"tags":["Software deployment","Enabling","Key (lock)","Process (computing)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-20","doi":"https://doi.org/10.1007/s10845-026-02803-9","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411492617","name":"Digital Transformation of Healthcare Enterprises in the Era of Disruptions—A Structured Literature Review","source":"openalex","abstract":"Digital transformation is the process of using digital technologies for creating or modifying existing business processes and customer experience, leveraging cutting-edge technology to meet changing market needs. Disruptions like the COVID-19 pandemic, regional wars, and climate-driven natural disasters create consequential scenarios, e.g., global supply chain disruption creating further demand–supply mismatch for healthcare enterprises. According to KPMG’s 2021 Healthcare CEO Future Pulse, 97% of healthcare leaders reported that COVID-19 significantly accelerated the digital transformation agenda. Successful digital transformation initiatives, for example, digital twins for supply chains, augmented reality, the IoT, and cybersecurity technology initiatives implemented significantly enhanced resiliency in supply chain and manufacturing operations. However, according to another study conducted by Mckinsey & Company, 70% of digital transformation efforts for healthcare enterprises fail to meet their goals. Healthcare enterprises face unique challenges, such as complex regulatory environments, cultural resistance, workforce IT skills, and the need for data interoperability, which make digital transformation a challenging project. Therefore, this study explored potential barriers, enablers, disruption scenarios, and digital transformation use cases for healthcare enterprises. A structured literature review (SLR), followed by thematic content analysis, was conducted to inform the research objectives. A sample of sixty (n = 60) peer-reviewed journal articles were analyzed using research screening criteria and keywords aligned with research objectives. The key themes for digital transformation use cases identified in this study included information processing capability, workforce enablement, operational efficiency, and supply chain resilience. Collaborative leadership as a change agent, collaboration between information technology (IT) and operational technology (OT), and effective change management were identified as the key enablers for digital transformation of healthcare enterprises. This study will inform digital transformation leaders, researchers, and healthcare enterprises in the development of enterprise-level proactive strategies, business use cases, and roadmaps for digital transformation.","url":"https://doi.org/10.3390/su17135690","authors":["Gaganpreet S. Hundal","Donna H. Rhodes","Chad Laux"],"tags":["Business","Supply chain","Digital transformation","Health care","Workforce"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-20","doi":"https://doi.org/10.3390/su17135690","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4285008028","name":"Construction of an Integrated Framework for Complex Product Design Manufacturing and Service Based on Reliability Data","source":"openalex","abstract":"With the application of new-generation information technology in the full life cycle process of a complex product, it is showing the characteristics of multi-source, real-time, heterogeneous, cross-domain transmission. Large data volume and low value density emerge in the process of complex product design manufacturing and services (DMS). This leads to “information islands” and insufficient utilization of cross-domain reliability data in the process of integration of DMS for complex product R&D design data, manufacturing data and operation and maintenance services (O&MS) data. This paper proposes and illustrates a framework of complex product DMS integration based on reliability data, including complex product design optimization based on manufacturing and service reliability data, complex product intelligent manufacturing process optimization based on real-time reliability data and complex product O&MS optimization based on multi-source heterogeneous reliability data. Additionally, it then realizes complex product design reliability and optimization, manufacturing process reliability and optimization and O&MS reliability and intelligent decision optimization based on reliability data. Finally, the DMS integration framework based on reliability-data-driven proposal is corrected through the case of engine MDS integration, which can effectively improve the cross-domain reliability data utilization and overall product reliability of complex products. The proposed framework extends the application of reliability theory in the process of complex product DMS integration and provides a reference for enterprises in the R&D, manufacturing and O&MS of complex products.","url":"https://doi.org/10.3390/machines10070555","authors":["Jinfeng Wang","Zhan Meng","Dapeng Gao","Lijie Feng"],"tags":["Reliability (semiconductor)","Reliability engineering","Computer science","Product (mathematics)","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-09","doi":"https://doi.org/10.3390/machines10070555","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4409572172","name":"Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties","source":"openalex","abstract":"The performance of electrochemical cells for energy storage and conversion can be improved by optimizing their manufacturing processes. This can be time-consuming and costly with the traditional trial-and-error approaches. Machine Learning (ML) models can help to overcome these obstacles. In academic research laboratories, manufacturing dataset sizes can be small, while ML models typically require large amounts of data. In this work, we propose a simple but still novel application of a Transfer Learning (TL) approach to address these manufacturing problems with a small amount of data. We have tested this approach with pre-existing experimental and stochastically generated datasets. These datasets consisted of component properties (e.g., electrode density) related to different manufacturing parameters (e.g., solid content, comma gap, coating speed). We have demonstrated the robustness of our TL approach for manufacturing problems by achieving excellent prediction performance for electrodes in lithium-ion batteries and gas diffusion layers in fuel cells.","url":"https://doi.org/10.1038/s44334-025-00024-1","authors":["Francisco Fernández‐Navarro","Soorya Saravanan","Rashen Lou Omongos","Javier F. Troncoso","Diego E. Galvez‐Aranda","Alejandro A. Franco"],"tags":["Robustness (evolution)","Computer science","Transfer of learning","Coating","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-18","doi":"https://doi.org/10.1038/s44334-025-00024-1","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4414611822","name":"Statistical Learning-Assisted Evolutionary Algorithm for Digital Twin-Driven Job Shop Scheduling with Discrete Operation Sequence Flexibility","source":"openalex","abstract":"With the rapid development of Industry 5.0, smart manufacturing has become a key focus in production systems. Hence, achieving efficient planning and scheduling on the shop floor is important, especially in job shop environments, which are widely encountered in manufacturing. However, traditional job shop scheduling problems (JSP) assume fixed operation sequences, whereas in modern production, some operations exhibit sequence flexibility, referred to as sequence-free operations. To mitigate this gap, this paper studies the JSP with discrete operation sequence flexibility (JSPDS), aiming to minimize the makespan. To effectively solve the JSPDS, a mixed-integer linear programming model is formulated to solve small-scale instances, verifying multiple optimal solutions. To enhance solution quality for larger instances, a digital twin (DT)–enhanced initialization method is proposed, which captures expert knowledge from a high-fidelity virtual workshop to generate high-quality initial population. In addition, a statistical learning-assisted local search method is developed, employing six tailored search operators and Thompson sampling to adaptively select promising operators during the evolutionary algorithm (EA) process. Extensive experiments demonstrate that the proposed DT-statistical learning EA (DT-SLEA) significantly improves scheduling performance compared with state-of-the-art algorithms, highlighting the effectiveness of integrating digital twin and statistical learning techniques for shop scheduling problems. Specifically, in the Wilcoxon test, pairwise comparisons with the other algorithms show that DT-SLEA has p-values below 0.05. Meanwhile, the proposed framework provides guidance on utilizing symmetry to improve optimization in complex manufacturing systems.","url":"https://doi.org/10.3390/sym17101614","authors":["Yan Jia","Weiyao Cheng","Leilei Meng","Chaoyong Zhang"],"tags":["Computer science","Job shop scheduling","Flow shop scheduling","Scheduling (production processes)","Mathematical optimization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-09-29","doi":"https://doi.org/10.3390/sym17101614","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4415172590","name":"Cloud–edge–device collaborative computing in smart agriculture: architectures, applications, and future perspectives","source":"openalex","abstract":"Smart agriculture is rapidly evolving in response to growing global demands for food security and sustainable resource management. Cloud-edge-device collaborative computing has emerged as a transformative paradigm, addressing the limitations of traditional centralized architectures by enabling distributed intelligence, real-time processing, and adaptive decision-making. This review provides a comprehensive overview of the architectures, technical characteristics, and application scenarios of cloud-edge-device collaboration in agriculture. Key domains covered include environmental monitoring, intelligent irrigation, UAV-machinery coordination, livestock health management, and pest and disease control. Major challenges such as device heterogeneity, data consistency, resource constraints, and privacy concerns are identified and discussed. Furthermore, six critical research directions are outlined, including intelligent scheduling algorithms, lightweight edge AI, hierarchical data fusion, federated learning, interoperability frameworks, and digital twin technologies. This review aims to serve as a practical reference and theoretical foundation for advancing the design and implementation of next-generation smart agriculture systems.","url":"https://doi.org/10.3389/fpls.2025.1668545","authors":["Pengpeng Yu","Fei Teng","Wenhui Zhu","Chaoping Shen","Zhenping Chen","Jinxiu Song"],"tags":["Interoperability","Computer science","Food security","Transformative learning","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-14","doi":"https://doi.org/10.3389/fpls.2025.1668545","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7160117843","name":"The ontology of the digital twin: a contemporary case for metaontological analysis","source":"openalex","abstract":"Abstract For decades, metaontological debates have been structured around paradigmatic examples: Sherlock Holmes for fictional objects and the number 7 for abstract objects. These examples, while useful, are philosophically “safe” and historically entrenched. However, 21st-century technology creates entities that defy these clean categorizations. In this paper, I argue that the digital twin—a dynamic virtual model of a physical system—serves as a useful contemporary test case for metaontological reflection. It brings together the problematic features of both fiction and abstract objects while introducing a new, critical dimension: causal efficacy. This novel constellation of attributes forces refinements in debates between Quineanism, fictionalism, Meinongianism, and grounding-based approaches. Analysis shows that digital twins strengthen Quinean indispensability arguments, challenge fictionalist and Meinongian views due to their active role in the causal order, and are best elucidated as dependent entities through grounding relations. By applying these frameworks to digital twins, I aim not to declare any single framework victorious but to show where different theories must extend, qualify, or recalibrate their core commitments when confronted with this kind of entity. The goal is to demonstrate how ontological inquiry can illuminate emerging technologies—including their normative and institutional dimensions—and how these technologies can, in turn, reinvigorate metaontological theory.","url":"https://doi.org/10.1007/s11229-026-05581-2","authors":["Orhan Onder"],"tags":["Ontology","Computer science","Philosophy of science","Philosophy of language","Semantics (computer science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-04","doi":"https://doi.org/10.1007/s11229-026-05581-2","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W2923794946","name":"Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project","source":"openalex","abstract":"Evolvable Assembly Systems is a five year UK research council funded project into flexible and reconfigurable manufacturing systems. The principal goal of the research programme has been to define and validate the vision and support architecture, theoretical models, methods and algorithms for Evolvable Assembly Systems as a new platform for open, adaptable, context-aware and cost effective production. The project is now coming to a close; the concepts developed during the project have been implemented on a variety of demonstrators across a number of manufacturing domains including automotive and aerospace assembly. This paper will show the progression of demonstrators and applications as they increase in complexity, specifically focussing on the Future Automated Aerospace Assembly Phase 1 technology demonstrator (FA3D). The FA3D Phase 1 demonstrated automated assembly of aerospace products using precision robotic processes in conjunction with low-cost reconfigurable fixturing supported by large volume metrology. This was underpinned by novel agent-based control for transformable batch-size-of-one production. The paper will conclude by introducing Phase 2 of the Future Automated Aerospace Assembly Demonstrator - currently in development - that will translate the Evolvable Assembly Systems research to a higher technology readiness level and address the challenges of scalable and transformable manufacturing systems.","url":"https://doi.org/10.4271/2019-01-1363","authors":["David Sanderson","Alison Turner","Emma Shires","Jack C. Chaplin","Svetan Ratchev"],"tags":["Computer science","Systems engineering","Manufacturing engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-03-19","doi":"https://doi.org/10.4271/2019-01-1363","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412158992","name":"Challenges and opportunities for green transitions adoption in Kenya's textile manufacturing industry","source":"openalex","abstract":"Introduction In the face of accelerating climate change as a result of fossils, the textile industry has been considered as a significant industrial contributor to global carbon emissions. In Kenya, this sector is responsible for approximately 56% of total industrial pollution, highlighting the urgent need for a transition to sustainable practices. This study, conducted between September 2023 and August 2024, investigates the opportunities and challenges presented in a green transition and practical efforts toward green transition in selected Kenyan textile mills, specifically at the Thika Cloth Mill and Rivatex East Africa company. Methods Utilizing qualitative data analyzed thematically, the research explored demographic influences on sustainability efforts, revealing critical insights into the barriers and potential pathways for green growth in the industry. Results Key findings include significant waste generation in spinning and processing departments, high water dependency, reliance on non-renewable energy sources like coal and firewood, and limited awareness of sustainability practices among industry players. Additionally, the sector faces difficulties in sourcing natural fibers due to low domestic cotton production and climate change impacts. However, initiatives such as Rivatex's establishment of a cotton farm, Thika Cloth Mills' use of coffee husks for biomass energy, and exploration of green dyes from natural sources indicate potential pathways toward sustainability. The study concluded that challenges such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector. Discussions The findings of the present study highlight the multifaceted challenges impeding Kenya's textile industry from fully embracing sustainable practices. Issues such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector. While initiatives like Rivatex's Bt cotton farming and Thika Cloth Mills' use of coffee husks for energy demonstrate steps toward sustainability, these efforts are sporadic and lack comprehensive industry-wide adoption. The absence of stringent environmental regulations and incentives further exacerbates the situation, allowing unsustainable practices to persist.","url":"https://doi.org/10.3389/frsus.2025.1527365","authors":["Dinah Awino"],"tags":["Textile","Textile industry","Business","Industrial organization","Commerce"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-09","doi":"https://doi.org/10.3389/frsus.2025.1527365","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W3147488881","name":"Smart Manufacturing and Industry 4.0: A Preliminary Approach in Structuring a Conceptual Framework","source":"openalex","abstract":"Engineering concepts usually, are complex concepts, thus many times are difficult for infusing into curriculums or to be comprehensive for practitioners. A concept that still now is not fully understandable is that of Industry 4.0, an approach that increases the complexity of production systems. Nowadays production systems are facing new challenges, as physical productions systems and internet technologies are directly linked, hence increasing the complexity but also the productivity of the systems. The paper introduces an approach of visualizing the concept of smart manufacturing in the context of Industry 4.0, as the term is not clearly specified, although has attracted attention both academicians and businesses. Concept mapping is a method of capturing and visualizing complex ideas. Concept maps are graphical tools for organizing, representing and communicating complex ideas by breaking them into more key concepts. As Industry 4.0 is a factor that can boost innovation and competitiveness of business, all parties involved in shaping the strategy of an organization, should perceive the issues to be covered. Furthermore, learners must be prepared to meet these challenges and knowledgebuilding activities may enhance their process of learning. The paper makes an interesting and valuable contribution, by identifying key concepts within the subject of smart manufacturing and Industry 4.0, using the method of concept mapping. Taking into consideration these concepts a conceptual framework will be introduced, by using the software tool CmapTools. The map can be used as a basis for future research in constructing a more comprehensive framework and identifying the concepts that describe smart manufacturing in the context of Industry 4.0, in a more thorough manner.","url":"https://doi.org/10.37394/232010.2021.18.3","authors":["Eleni Didaskalou","Petros Manesiotis","Dimitrios A. Géorgakèllos"],"tags":["Structuring","Computer science","Industry 4.0","Process (computing)","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-04-01","doi":"https://doi.org/10.37394/232010.2021.18.3","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4392590198","name":"The implementation of a practice-oriented approach in teaching students of technical universities based on the development of a digital twin of the information system of an industrial enterprise","source":"openalex","abstract":"Introduction. In teaching future engineers and mechanics, difficulties arise when they study such disciplines as Theoretical Mechanics and Strength of Materials. As a rule, this is due to the need to consolidate students’ acquired theoretical knowledge. However, carrying out a sufficient number of strength tests of products is associated with significant financial costs, so it is often economically expensive to obtain results by implementing physical experiments, and in some cases it is simply impossible. In this regard, for teaching it is advisable to use accurate distributed dynamic mathematical and software models of objects, that is, digital twins. Materials and methods. As a prototype of a digital twin, an information system of an industrial enterprise was considered, designed to monitor the stress-strain state of a beam using strain gauge data. 198 students and 8 teachers from the Faculty of Mechanics and Technology and the Faculty of Automation and Computer Engineering of the Novosibirsk State Technical University (Russian Federation) took part in testing the methodology. Methods of mathematical statistics: Pearson's chi-squared test, survey and correlation analysis. Results. As a result of the introduction of teaching methods based on the use of a digital twin, situations were created that required students to critically analyze and include metacognitive skills. The implementation of practice-oriented training when working with a digital twin of an information system of an industrial enterprise has an impact on the academic performance of students (χ2 = 4.08; p < 0.05) and allows students to firmly consolidate the acquired theoretical knowledge and practical skills, which will subsequently allow the formation of sustainable professional competencies. Scientific novelty. The study revealed that learning using a digital twin contributes to a more controlled passage of the curriculum by students, develops qualities such as self-control and self-discipline, and stimulates cognitive interest in a specific academic discipline and the educational process in general. Practical relevance. The main advantage of introducing a digital twin of an industrial enterprise information system into the learning process is the effectiveness of this approach in terms of consolidating and developing practical skills among students. In addition, teaching using digital twins is particularly useful for preparation activities in high-risk industries, where practice at real-life facilities is impossible or difficult.","url":"https://doi.org/10.32744/pse.2024.1.5","authors":["Dina D. Sin","Е.Е. Истратова"],"tags":["Computer science","Automation","Mathematics education","Test (biology)","Teaching method"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-01","doi":"https://doi.org/10.32744/pse.2024.1.5","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4413414826","name":"Integrating digital twins and AI-augmented predictive analytics for resilient, demand-driven global supply chain orchestration under volatility","source":"openalex","abstract":"Global supply chains are increasingly exposed to volatility arising from geopolitical tensions, climate disruptions, fluctuating consumer demand, and pandemic-induced shocks. Conventional supply chain planning frameworks, reliant on static forecasting and linear optimization, are inadequate for capturing the complexities of real-time disruptions and dynamic market uncertainties. In response, the convergence of digital twin technologies and artificial intelligence (AI)-augmented predictive analytics has emerged as a transformative strategy for achieving resilience and demand-driven orchestration. Digital twins virtual replicas of physical supply networks enable continuous synchronization between operational processes and market realities, while predictive analytics powered by machine learning provides foresight into demand fluctuations, supplier reliability, and transportation risks. This research examines how integrating digital twins with AI-augmented analytics enhances proactive decision-making by simulating multiple disruption scenarios, optimizing inventory buffers, and reallocating resources dynamically. Advanced methods such as reinforcement learning for adaptive logistics routing, graph neural networks for supplier interdependency analysis, and probabilistic forecasting models are incorporated to anticipate and mitigate volatility. The framework emphasizes demand-driven orchestration, ensuring responsiveness not only to historical data patterns but also to real-time signals from IoT sensors, trade flows, and customer behaviors. Key contributions of this study include a roadmap for scalable implementation across global enterprises, guidelines for integrating heterogeneous data sources, and resilience metrics that balance cost efficiency with operational continuity. Despite challenges such as computational complexity, interoperability issues, and governance of cross-border data, the fusion of digital twins and AI offers an intelligent, adaptive infrastructure for re-engineering global supply chains into more resilient, agile, and demand-driven systems.","url":"https://doi.org/10.30574/ijsra.2025.16.2.2430","authors":["Elizabeth Asorose"],"tags":["Orchestration","Volatility (finance)","Analytics","Supply chain","Predictive analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-22","doi":"https://doi.org/10.30574/ijsra.2025.16.2.2430","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W3010653225","name":"The smart technologies application for the product life-cycle management in modern manufacturing systems","source":"openalex","abstract":"Perspective directions of development of information technologies in the field of improvement of programs of universal artificial intelligence for tasks of the organization of production are Considered. Modern trends of application in production are considered and advantages to companies are analyzed. The concept of building a production process using smart technologies and other artificial intelligence approaches is proposed.","url":"https://doi.org/10.1051/matecconf/202031102020","authors":["Vladimir A. Shiboldenkov","Katherine Nesterova"],"tags":["Field (mathematics)","Production (economics)","Manufacturing engineering","Computer science","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.1051/matecconf/202031102020","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412916538","name":"Digital Twins in Industrial Maintenance: Integrating Virtual and Augmented Reality for Innovation","source":"openalex","abstract":"The optimization of processes, cost reduction, and increased efficiency stand as primary objectives within the textile industry. With the advancement of technologies, the digital twin concept – a digital representation model of the processes and physical objects within the manufacturing environment – has been extensively employed. This article aims to examine and investigate how it is possible to integrate the use of augmented and virtual reality technologies with a digital twin model, in order to enhance equipment maintenance within this industry. In addition to a review of the current state of the art in this field, several articles related to the topic were studied, complemented by the results of a small-scale experiment. These findings indicate that the utilization of these technologies is indeed advantageous in supporting equipment maintenance and managing the flow of data generated by real physical objects and processes.","url":"https://doi.org/10.17013/wjis.v2i2.35","authors":["João Miranda","André Costa","Luís Romero","Pedro Miguel Faria"],"tags":["Augmented reality","Virtual reality","Business","Human–computer interaction","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-25","doi":"https://doi.org/10.17013/wjis.v2i2.35","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4366765085","name":"Decarbonizing the cement and concrete industry: A systematic review of socio-technical systems, technological innovations, and policy options","source":"openalex","abstract":"Concrete is the most highly used construction material globally. This is largely due to its durability, versatility and manufacture from inexpensive and readily available materials. Although concrete has become an essential and ubiquitous construction material for modern society, its use has significant environmental impacts. The full cement and concrete lifecycle, from production to final disposal, accounts for nearly 10% of global energy-related CO 2 emissions with the majority of these emissions produced from cement, which is the binding material that holds concrete together. The cement and concrete industry (CCI), which is integral to global infrastructure development, is therefore confronted with a growing need to decarbonize its operations and products, as well as to support the decarbonization of associated end-user sectors. This paper provides a systematic and critical review of more than 800 studies to highlight ways in which the CCI can decarbonize. A socio-technical perspective is used to understand the full range of industrial and economic activities where a decarbonized paradigm for cement and concrete production is relevant. This perspective is further used to assess key technical, economic, social and political factors that will drive a net-zero transition in the CCI over the long term.","url":"https://doi.org/10.1016/j.rser.2023.113291","authors":["Steve Griffiths","Benjamin K. Sovacool","Dylan D. Furszyfer Del Rio","Aoife Foley","Morgan Bazilian","Jinsoo Kim","Joao M. Uratani"],"tags":["Cement","Engineering","Business","Forensic engineering","Construction engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-22","doi":"https://doi.org/10.1016/j.rser.2023.113291","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4410827513","name":"Driving Sustainability Performance in Hotels Through Green Digital Leadership and Circular Economy: The Moderating Role of Hotel Green Efficacy","source":"openalex","abstract":"This study examines the role of green digital transformational leadership (GDTL) in enhancing sustainability performance in the hotel industry through the mediating mechanism of circular economy (CE) practices and the moderating effects of otel green efficacy (HGE). Grounded in the dynamic capabilities theory, natural resource-based view (NRBV) theory, and social exchange theory, a novel conceptual model that bridges digital innovation, ecological stewardship, and organizational psychology was proposed. The study adopted a quantitative approach and used a self-administered questionnaire survey to collect data from 402 employees across green-certified hotels in Sharm El-Sheikh, Egypt. Participants were recruited using a stratified sampling method to ensure sectoral representation. Data analysis techniques included performing partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.0. Key findings reveal that GDTL directly influences the three key aspects of sustainability performance in hotels, including environmental, economic, and social aspects. Likewise, CE practices significantly mediate the linkage between GDTL and hotel sustainability performance. Notably, HGE strengthens the GDTL-CE relationship, underscoring the critical role of employee empowerment in translating leadership vision into regenerative practices. These results add to the growing literature on sustainable leadership by revealing how digital tools like AI, blockchain, and closed-loop systems can synergize to support economic growth and conserve natural resources.","url":"https://doi.org/10.3390/systems13060415","authors":["Ibrahim A. Elshaer","Alaa M. S. Azazz","Mansour Alyahya","Sameh Fayyad","Mohamed Abou Taleb","Abuelkassem Mohammad"],"tags":["Sustainability","Business","Circular economy","Marketing","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-28","doi":"https://doi.org/10.3390/systems13060415","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4377102158","name":"The Impact of Digital Economy on the High-Quality Development of Manufacturing Industry -- An Empirical Study Based on 277 Cities in China","source":"openalex","abstract":"The digital economy has contributed to new growth points in the high-quality development of industrial manufacturing in the context of the swift advancement of information technology. It has emerged as the primary force behind contemporary high-quality economic development. This study builds a mediation effect model for regression analysis using panel data from 277 prefecture-level cities in the nation from 2006 to 2019. It uses the urbanization rate as the mediating variable. It then examines the path mechanism for the impact on developing the digital economy and high-quality manufacturing. The empirical results show that the digital economy significantly promotes the high-quality development of China's manufacturing industry. At the same time, the digital economy can promote the high-quality development of China's manufacturing industry by increasing the urbanization rate. For different levels of cities in China, the urbanization rate has different effects on the high-quality development of the manufacturing industry. Therefore, government departments and manufacturing enterprises need to increase their investment in science and technology to enhance the digital level of intelligent manufacturing in the manufacturing service industry to form a two-way integration and coordinated development of science and technology and the real economy.","url":"https://doi.org/10.56028/aemr.5.1.1.2023","authors":["Yiru Wang"],"tags":["Urbanization","Manufacturing","Business","Tertiary sector of the economy","China"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-04-11","doi":"https://doi.org/10.56028/aemr.5.1.1.2023","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4411353547","name":"MetalMind: A knowledge graph-driven human-centric knowledge system for metal additive manufacturing","source":"openalex","abstract":"Abstract In the Industry 5.0 era, increasing manufacturing complexity and fragmented knowledge pose challenges for decision-making and workforce development. To tackle this, we present a human-centric knowledge system that integrates explicit knowledge from formal sources and implicit knowledge from expert insights. The system features three core innovations: (1) an automated KG construction pipeline leveraging large language models (LLMs) with collaborative verification to enhance knowledge extraction accuracy and minimize hallucinations; (2) a hybrid retrieval framework that combines vector-based, graph-based, and hybrid retrieval strategies for comprehensive knowledge access, achieving a 336.61% improvement over vector-based retrieval and a 68.04% improvement over graph-based retrieval in global understanding; and (3) an MR-enhanced interface that supports immersive, real-time interaction and continuous knowledge capture. Demonstrated through a metal additive manufacturing (AM) case study, this approach enriches domain expertise, improves knowledge representation and retrieval, and fosters enhanced human-machine collaboration, ultimately supporting adaptive upskilling in smart manufacturing.","url":"https://doi.org/10.1038/s44334-025-00038-9","authors":["Haolin Fan","Zhen Fan","Chenshu Liu","Jianhao Zhu","Tom Gibbs","Jerry Ying Hsi Fuh","Wen Feng Lu","Bingbing Li"],"tags":["Knowledge graph","Knowledge management","Computer science","Graph","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-16","doi":"https://doi.org/10.1038/s44334-025-00038-9","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7131638452","name":"Digital product passports","source":"openalex","abstract":"Abstract Digital product passports (DPPs) will become mandatory in the European Union (EU) for a wide range of product categories under the Ecodesign for Sustainable Products Regulation (ESPR). DPPs are digital artifacts that capture and share essential product data across organizational boundaries. They have the potential to enhance transparency across value chains and ecosystems, thereby supporting data-driven decision-making throughout the entire product lifecycle and unlocking new opportunities for sustainable value creation. Despite growing momentum, the design, implementation, and management of DPPs are still evolving, resulting in a vast space of design options and ambiguity. This fundamentals paper reports on a multivocal literature review to advance our understanding of this emerging phenomenon from an information systems perspective. We position the DPP against adjacent concepts, define it, develop a conceptual framework, and present a demonstrative scenario that instantiates the conceptual framework’s elements. The findings have implications for DPP research and practice and lay the groundwork for achieving both regulatory compliance and enabling additional sustainable pathways.","url":"https://doi.org/10.1007/s12525-026-00877-0","authors":["Dimitri Petrik","Gero Strobel","Thorsten Schoormann","Frederik Möller","Christoph Hoppe-Ludwig","Virginia Springer"],"tags":["Business","Transparency (behavior)","Ecodesign","Product (mathematics)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-27","doi":"https://doi.org/10.1007/s12525-026-00877-0","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412598296","name":"Temperature Monitoring in Metal Additive Manufacturing in the Era of Industry 4.0","source":"openalex","abstract":"The field of metal additive manufacturing has witnessed significant growth in recent years, with technology offering the ability to produce complex geometries that are challenging to manufacture using the traditional methods. In situ monitoring and control of the manufacturing process are crucial for increasing the production capacity and improving the quality of manufactured parts. This article provides a comparative analysis of computational, indirect, and direct methods for in situ temperature monitoring during additive manufacturing of metal alloy components. Furthermore, it discusses the current status, recent improvements, and perspectives for in situ temperature measurements. The basic principles of thermal imaging, two-color pyrometry, and millimeter-wave radiometry are explored, highlighting their limitations for addressing challenges related to material emissivity and rapid changes in building material composition. Overcoming the challenges related to the inaccessibility of the chamber where the parts are formed, direct temperature measurements would allow for the integration of collected information into big data systems. Within the framework of Industry 4.0, this approach offers a viable alternative to the conventional metal shaping processes, improving the production capacity and part quality. This research aims to contribute to ongoing advancements in metal additive manufacturing and its potential to completely replace traditional metal casting practices in the Industry 4.0 era.","url":"https://doi.org/10.3390/technologies13080317","authors":["Aleksandar M. Mitrašinović","Teodora Đurđević","Jasmina Nešković","Milinko Radosavljević"],"tags":["Manufacturing engineering","Manufacturing","Business","Metallurgy","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-23","doi":"https://doi.org/10.3390/technologies13080317","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4410778893","name":"Digital Technologies as Enablers of the Circular Economy: An Empirical Perspective on the Role of Companies in Driving Customer Behaviour Change","source":"openalex","abstract":"ABSTRACT The circular economy concept has gained significant attention in the academic and industrial discourse. Yet, the widespread adoption of circular business models is still outstanding, with a lack of customer acceptance representing a critical barrier. Recently, there has been a growing interest in the potential of digital technologies to expedite the circular economy's broader implementation. This study investigates the role of digital technologies in enhancing customer acceptance of circular business models in consumer‐facing industries. To extract insights from practice, we conducted 41 semi‐structured interviews with experts from companies that have implemented circular economy principles, management consulting firms, and academia. As a result, we provide thematical structures of (1) 35 factors affecting customer acceptance of circular business models, (2) 36 practices that organizations can deploy to address these factors and enhance customer acceptance, and (3) 19 digital technologies to facilitate such practices. Our findings combine and extend insights from the distinct research streams of behavioral science and theory of digital technology management by adding a technology dimension to the behavior change wheel, highlighting the interplay between sources of behavior (factors), intervention functions (practices), and technological enablers (digital technologies). This extended framework will support researchers investigating the role of digital technologies and inform companies about the use of digital technologies in circular business model innovation as an enabler of customer acceptance.","url":"https://doi.org/10.1111/radm.12762","authors":["Christian Bücker","Julia Pantel","Martin Geissdoerfer","Jyotirmoyee Bhattacharjya","Mukesh Kumar"],"tags":["Perspective (graphical)","Business","Circular economy","Digital economy","Empirical research"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-21","doi":"https://doi.org/10.1111/radm.12762","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4406324336","name":"Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative","source":"openalex","abstract":"The MaterialDigital initiative represents a major driver toward the digitalization of material science. Next to providing a prototypical infrastructure required for building a shared data space and working on semantic interoperability of data, a core focus area of the Platform MaterialDigital (PMD) is the utilization of workflows to encapsulate data processing and simulation steps in accordance with findable, accessible, interoperable, and reusable principles. In collaboration with the funded projects of the initiative, the workflow working group strives to establish shared standards, enhancing the interoperability and reusability of scientific data processing steps. Central to this effort is the Workflow Store, a pivotal tool for disseminating workflows with the community, facilitating the exchange and replication of scientific methodologies. This article discusses the inherent challenges of adapting workflow concepts, providing the perspective on developing and using workflows in the respective domain of the various funded projects. Additionally, it introduces the Workflow Store's role within the initiative and outlines a future roadmap for the PMD workflow group, aiming to further refine and expand the role of scientific workflows as a means to advance digital transformation and foster collaborative research within material science.","url":"https://doi.org/10.1002/adem.202402149","authors":["Simon Bekemeier","Celso R. C. Rêgo","Han Lin Mai","Ujjal Saikia","Osamu Waseda","Markus Apel","Felix Arendt","Alexander Aschemann","Bernd Bayerlein","Robert Courant","Gordian Dziwis","Florian Fuchs","Ulrich Giese","Kurt Junghanns","Mohamed Kamal","Lukas Koschmieder","Sebastian Leineweber","Marc Luger","Marco Lukas","Jürgen Maas","Jana Mertens","Björn Mieller","Ludger Overmeyer","Norbert Pirch","Jan Reimann","Sebastian Schröck","Philipp Schulze","Jörg Schuster","Alexander Seidel","Oleg Shchyglo","Marek Sierka","Frank Silze","Simon Stier","Marvin Tegeler","Jörg F. Unger","Matthias Weber","Tilmann Hickel","Jörg Schaarschmidt"],"tags":["Workflow","Interoperability","Computer science","Workflow technology","Software engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-13","doi":"https://doi.org/10.1002/adem.202402149","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W7127312444","name":"Conceiving Socio-technical Information Systems from the Perspective of Digital Twins","source":"openalex","abstract":"Digital twins (DT) present benefits, challenges, and opportunities well aligned to socio-technical information systems.The challenge for information systems engineering is the development of organization excellence solutions through virtual factory replication, as cited by Grieves in the manufacturing industry [Grieves, 2014].The empirically defined information systems framework development using DT with interacting organizational sub-systems that align peoples' capabilities with their goals, related to processes operating within a physical infrastructure, and share cultural assumptions and norms is not a trivial task.The information systems community might embrace this challenge for the following ten years to conceive successful socio-technical information systems..","url":"https://doi.org/10.5753/sbc.rt.2025.181.13","authors":["Célia R. Ralha","Daniela Barreiro Claro","Rita Suzana Pitangueira Maciel"],"tags":["Perspective (graphical)","Information system","Epistemology","Sociology","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-01","doi":"https://doi.org/10.5753/sbc.rt.2025.181.13","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W2963212792","name":"Toward Intelligent Machine Tool","source":"openalex","abstract":"With the development of modern information technology—and particularly of the new generation of artificial intelligence (AI) technology—new opportunities are available for the development of the intelligent machine tool (IMT). Based on the three classical paradigms of intelligent manufacturing as defined by the Chinese Academy of Engineering, the concept, characteristics, and systemic structure of the IMT are presented in this paper. Three stages of machine tool evolution—from the manually operated machine tool (MOMT) to the IMT—are discussed, including the numerical control machine tool (NCMT), the smart machine tool (SMT), and the IMT. Furthermore, the four intelligent control principles of the IMT—namely, autonomous sensing and connection, autonomous learning and modeling, autonomous optimization and decision-making, and autonomous control and execution—are presented in detail. This paper then points out that the essential characteristic of the IMT is to acquire and accumulate knowledge through learning, and presents original key enabling technologies, including the instruction-domain-based analytical approach, theoretical and big-data-based hybrid modeling technology, and the double-code control method. Based on this research, an intelligent numerical control (INC) system and industrial prototypes of IMTs are developed. Three intelligent practices are conducted, demonstrating that the integration of the new generation of AI technology with advanced manufacturing technology is a feasible and convenient way to advance machine tools toward the IMT.","url":"https://doi.org/10.1016/j.eng.2019.07.018","authors":["Jihong Chen","Pengcheng Hu","Huicheng Zhou","Jianzhong Yang","Jiejun Xie","Yakun Jiang","Zhiqiang Gao","Chenglei Zhang"],"tags":["Computer science","Key (lock)","Domain (mathematical analysis)","Artificial intelligence","Intelligent control"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2019-07-22","doi":"https://doi.org/10.1016/j.eng.2019.07.018","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4386996124","name":"Data Attributes in Quality Monitoring of Manufacturing Processes: The Welding Case","source":"openalex","abstract":"Quality monitoring of manufacturing processes is a field where data analytics can thrive. The attributes of the data, denoted with the famous ‘7V’, can be used to potentially measure different aspects of the fact that data analytics may be referred to, in some cases, as big data. The current work is a step towards such a perspective, despite the fact that the method, the application and the data are coupled in some way. As a matter of fact, herein, a framework is presented through which a heuristic match between the big data attributes and the quality monitoring characteristics in the case of manufacturing is used to extract some insights about the value and the veracity of datasets, in particular. The case of simple machine learning is used and the results are very interesting, indicating the difficulty of extracting attribute characterization metrics in an a priori manner. Eventually, a roadmap is created with respect to integrating the data attributes into design procedures.","url":"https://doi.org/10.3390/app131910580","authors":["Panagiotis Stavropoulos","Alexios Papacharalampopoulos","Kyriakos Sabatakakis"],"tags":["Big data","Computer science","Analytics","Data analysis","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-22","doi":"https://doi.org/10.3390/app131910580","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4399302707","name":"Why digital innovation may not reduce healthcare’s environmental footprint","source":"openalex","abstract":"Digital innovations come with their own environmental cost and should not be seen as a simple fix for healthcare emissions, argue Gabrielle Samuel and colleagues Healthcare is becoming increasingly digitalised through innovations in information and communication technologies as well as advances in machine learning and artificial intelligence (AI).1 Advocates enthuse that this digitalisation—including monitoring devices, streaming, and data storage—will improve key aspects of healthcare delivery such as safety, accessibility, quality of care, effectiveness, and efficiency.2 Others debate whether these promises can be met because of complex social, cultural, economic, and political implementation challenges.3 More recently, digital innovation has been promoted as a means to reduce the environmental harms associated with healthcare delivery.4 Healthcare systems contribute to roughly 5% of a country’s total greenhouse gas emissions, with this figure often being higher in high income countries.5 Although digitalisation can reduce environmental harms, technologies could also be implemented in ways that do not lead to reductions. Indeed, given the paradoxical increase in energy use associated with the introduction of energy saving technologies—the so called rebound effect—digital innovation may increase resource use with little change to health outcomes. Digital innovations have the potential to decrease the environmental harm from health systems in several ways (box 1). First, digital innovations are expected to help reduce the greenhouse gas emissions associated with existing healthcare facilities by improving their efficiency. In the UK the NHS has predicted carbon savings through the use of realtime monitoring, including artificial intelligence, to better control buildings (eg, lights, heating, and cooling) and to forecast resource allocation more effectively.6 Use of digital technologies to predict electricity and water consumption across various healthcare facilities has allowed hospital managers to identify variation in usage and deal with the causes.7 Box 1 ### How digital technologies might reduce the environmental harms of healthcare #### Improving the operational efficiency of existing healthcare infrastructureRETURN TO TEXT","url":"https://doi.org/10.1136/bmj-2023-078303","authors":["Gabrielle Samuel","Geoffrey M. Anderson","Federica Lucivero","Anneke Lucassen"],"tags":["Carbon footprint","Health care","Greenhouse gas","Harm","Digital health"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-03","doi":"https://doi.org/10.1136/bmj-2023-078303","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4416424431","name":"Towards enhanced cybersecurity in industrial control systems: a systematic review of context-based modeling, digital twins, and machine learning approaches","source":"openalex","abstract":"Abstract The increasing integration of Industrial Control Systems (ICS) and Cyber-Physical Systems (CPS) with the Internet of Things (IoT) has significantly enhanced their operational efficiency but also exposed them to advanced cyber threats. Traditional cybersecurity approaches, often tailored for IT systems, must address the unique complexities of ICS and CPS environments. This paper systematically reviews the integration of three critical areas: context-based modeling, digital twins, and machine learning (ML), to enhance cybersecurity for ICS and CPS. Context-based modeling provides dynamic, situational awareness; digital twins offer real-time system replicas for monitoring and simulation; and ML delivers predictive and adaptive threat detection and response capabilities. The review synthesizes findings from recent literature to answer four research questions focusing on methodologies in context-based modeling, applications of digital twins and ML in attack detection, and integrating these approaches for improved cyber resilience. The results demonstrate the synergistic potential of combining these technologies, enabling real-time anomaly detection, predictive threat analysis, and adaptive response mechanisms. Challenges such as data limitations, scalability, and verification complexities are vital areas requiring further research. This integrated framework offers a robust pathway for securing critical infrastructure and advancing cybersecurity practices in increasingly interconnected ICS and CPS environments.","url":"https://doi.org/10.1007/s10207-025-01158-1","authors":["Doney Abraham","Gizem Erceylan","Vasileios Gkioulos","Siv Hilde Houmb"],"tags":["Computer science","Industrial control system","Anomaly detection","Computer security","Situation awareness"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-20","doi":"https://doi.org/10.1007/s10207-025-01158-1","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412676542","name":"Modeling Human Tasks and Motion in 360-Degree Videos for Real-Time Digital Twin Application","source":"openalex","abstract":"This research presents a framework for real-time task detection and digital twin modeling based on human posture estimation from 360° videos. The system integrates markerless human posture estimation with task classification and digital twin visualization. Posture estimation using MediaPipe provided accurate skeletal tracking, while kinematic feature extraction enabled detailed motion analysis. Gaussian Mixture Models effectively segmented task transitions, distinguishing between different phases of ladder use. Gaussian Splatting helped realistic and adaptive visualizations, for a digital twin that accurately represented human-environment interactions. Using these techniques, the framework achieves a non-intrusive and scalable approach to task detection and digital twin modeling. The system captured human movements from 360° videos and classified them into task-specific segments. The results demonstrated that task detection based on posture estimation could improve workplace safety by identifying inefficient or hazardous postures. The digital twin representation can be analyzed for movement patterns and ergonomic risk assessment.","url":"https://doi.org/10.1177/10711813251358789","authors":["Hari Iyer","Ricardo Eiris","Heejin Jeong"],"tags":["Degree (music)","Computer science","Motion (physics)","Human motion","Computer vision"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-27","doi":"https://doi.org/10.1177/10711813251358789","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4406290456","name":"Challenges and opportunities for high-quality battery production at scale","source":"openalex","abstract":"As the world electrifies, global battery production is expected to surge. However, batteries are both difficult to produce at the gigawatt-hour scale and sensitive to minor manufacturing variation. As a result, the battery industry has already experienced both highly-visible safety incidents and under-the-radar reliability issues-a trend that will only worsen if left unaddressed. Here we highlight both the challenges and opportunities to enable battery quality at scale. We first describe the interplay between various battery failure modes and their numerous root causes. We then discuss how to manage and improve battery quality during production. We hope our perspective brings greater visibility to the battery quality challenge to enable safe global electrification.","url":"https://doi.org/10.1038/s41467-025-55861-7","authors":["Peter M. Attia","Eric Moch","Patrick K. Herring"],"tags":["Battery (electricity)","Electrification","Quality (philosophy)","Production (economics)","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-12","doi":"https://doi.org/10.1038/s41467-025-55861-7","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4214689439","name":"3D printed parts and mechanical properties: Influencing parameters, sustainability aspects, global market scenario, challenges and applications","source":"openalex","abstract":"3D printing has evolved as a disruptive technology for fabrication of industrial components, however due to the intrinsic nature of the process, the mechanical strength of the parts developed by 3D printing is a subject of research. The economic and technical advantages offered by 3D printing makes it as a potential replacement for the conventional manufacturing processes, particularly for developing complex and optimized products. The current paper is structured to focus on the various processes of 3D printing used for the development of industrial products, the various process parameters involved in each process and their effect on the mechanical properties of these parts particularly fatigue, tensile, bending strength, etc. primarily focusing on polymeric materials. Further an important aspect of 3D printed parts i'e tribological properties have been highlighted. A systemic literature review related to these aspects has also been presented. A section highlights the various applications of these 3D printed parts particularly in medical, aerospace and automotive. A section also highlights the sustainability aspects of these 3D printed parts. The paper also highlights the possible future research areas, recommendations and challenges involved in developing 3D printed parts.","url":"https://doi.org/10.1016/j.aiepr.2022.02.001","authors":["Saquib Rouf","Ankush Raina","Mir Irfan Ul Haq","Nida Naveed","Sudhanraj Jeganmohan","Aysha Farzana Kichloo"],"tags":["3D printing","Automotive industry","3d printed","Aerospace","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-02-24","doi":"https://doi.org/10.1016/j.aiepr.2022.02.001","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"oa:W4412447404","name":"Green buildings and digital technologies: A pathway to sustainable development","source":"openalex","abstract":"Digital technologies have the potential to enhance the performance of green buildings to address climate change impacts. Therefore, this study explores the nexus between green buildings and digital technologies, which is a crucial point that has the potential to reshape the field of sustainable development. This examination is done with the utilization of bibliometric analysis and qualitative systematic approach. This review aims to conduct a thorough analysis of green buildings and digital technologies for a sustainable future, with a focus on the integration of digital technologies, associated challenges and solutions, key research techniques, knowledge gaps, and future research directions within the realm of green buildings. To do this, a bibliometric analysis was initially conducted after retrieving 135 articles from the Scopus database. Next, a qualitative systematic approach was conducted. In addition, five challenges and technological solutions were identified; (i) high initial costs, (ii) limited availability of sustainable materials, (iii) energy inefficiency and performance variability, (iv) regulatory compliance and certification requirements, and (v) waste management and recycling. Key research techniques were identified (i) simulation and modeling, (ii) decision-making techniques and (iii) surveys and interviews (qualitative and quantitative techniques). This review study offers both theoretical and practical contributions to the current research on green buildings and digital technologies, with the aim of improving sustainability. Theoretically, this review study strengthens the body of knowledge by integrating sustainable practices with advanced digital technologies, hence improving energy efficiency and sustainability. It provides practical insights for researchers, practitioners, and policymakers to implement digital technologies in construction projects, promoting sustainable designs. These insights can assist researchers in refining technology-driven sustainability models, guide practitioners in implementing these solutions more effectively, and enable policymakers to craft regulations that promote innovation and environmental stewardship in the sector.","url":"https://doi.org/10.1016/j.grets.2025.100243","authors":["Bilal Manzoor","Maxwell Fordjour Antwi‐Afari","Khalid Saqer Alotaibi"],"tags":["Architectural engineering","Sustainable development","Computer science","Engineering","Political science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-16","doi":"https://doi.org/10.1016/j.grets.2025.100243","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.3233/faia260224","name":"Research on the Development Strategy of Chu Lacquerware Cultural and Creative Products Based on Cloud-Edge Collaborative Digital Twin and Additive Manufacturing","source":"crossref","abstract":"This study presents a development strategy for cultural heritage, it is imperative to leverage additive manufacturing and other digital intelligent technologies to provide breakthroughs in the inheritance of traditional craftsmanship. This study aims to utilize the advantages of additive manufacturing—such as low carbon emissions, low costs, high efficiency, diverse materials, and wide-ranging applications—to develop and optimize cultural creative products inspired by Chu lacquerware. By bridging traditional craftsmanship with digital manufacturing, the study explores new ways to integrate traditional culture into modern life, supporting the revitalization and sustainable development of traditional culture in the middle and lower reaches of the Yangtze River.","url":"https://doi.org/10.3233/faia260224","authors":["Qinglian Yu","Guang Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-29T10:40:35Z","doi":"10.3233/faia260224","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.2139/ssrn.5208325","name":"The Impact of the Twin Transition on Firms' Business Performance: Empirical Evidence from Korean Manufacturing Firms","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5208325","authors":["Jihoon Choi","Yeong Jae Kim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-06T18:28:39Z","doi":"10.2139/ssrn.5208325","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.1007/s10696-025-09632-7","name":"Traceable digital twin for accurate positioning of industrial robot arms in human–robot collaborative systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10696-025-09632-7","authors":["Giacomo Maculotti","Fazluddin Khusnuddinov","Jasurkhuja Kholkhujaev","Gianfranco Genta","Maurizio Galetto"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-05T06:23:45Z","doi":"10.1007/s10696-025-09632-7","addedAt":"2026-09-01T01:47:45.213Z","updatedAt":"2026-09-01T01:47:45.213Z"},{"id":"doi:10.36227/techrxiv.176524820.07513276/v1","name":"The Digital Twin in Aviation: A Review of Core Technologies, Lifecycle Applications, and Future Challenges","source":"crossref","abstract":"The Digital Twin has become a game-changing framework that can redefine the design, manufacturing, operation, and maintenance of modern aircraft. This paper offers a thorough review of the Digital Twin concept in the aviation sector. It traces its development from NASA's Apollo-era \"pairing technology\" to its current use in aerospace. The review looks closely at the main structure of the Digital Twin, including its physical, virtual, and data-thread parts. It also explores the key technologies that support its implementation. These include high-fidelity multiphysics modeling, data-driven and hybrid simulation methods, and real-time synchronization systems. The paper details its lifecycle applications, which range from virtual certification and production optimization to in-service diagnostics, health management, and fleet-level operational efficiency. It emphasizes the shift from reactive maintenance to predictive and prescriptive asset management. Lastly, it highlights the main technical, organizational, and economic challenges that limit widespread adoption and predicts the future development of Digital Twin technologies toward cognitive, autonomous, and system-of-systems solutions that will shape the next generation of aviation innovation.","url":"https://doi.org/10.36227/techrxiv.176524820.07513276/v1","authors":["Vaishnav Arun Bhosale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-09T02:43:34Z","doi":"10.36227/techrxiv.176524820.07513276/v1","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.25368/2025.259","name":"AI-Driven Digital Twin Architecture for Forestry Logistics Planning","source":"crossref","abstract":"","url":"https://doi.org/10.25368/2025.259","authors":["Karin Westlund","Amos H.C. Ng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-20T12:44:21Z","doi":"10.25368/2025.259","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.4018/979-8-2600-1674-9.ch009","name":"Multi-Agent Digital Twin Ecosystems for Collaborative Lifelong Learning","source":"crossref","abstract":"This chapter examines lifelong learning ecosystems based on digital twins and multi-agent architectures. Its main goal is to provide a conceptual framework for creating intelligent, adaptive, collaborative, and self-evolving learning systems. In this approach, the cognitive digital twin models the learner's skill, behavioral, and cognitive state, and intelligent agents optimize the learning path, performance assessment, and group collaboration by analyzing data. Also, the role of emerging technologies such as federated learning, edge computing, metaverse, and neuromorphic computing in the future of these ecosystems is examined.","url":"https://doi.org/10.4018/979-8-2600-1674-9.ch009","authors":["Hossein Abdi","Naser Heidari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T19:25:01Z","doi":"10.4018/979-8-2600-1674-9.ch009","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/pr14132030","name":"Development of an Online Digital Twin for Real-Time Monitoring of Manufacturing Processes Using OPC UA","source":"crossref","abstract":"The integration of online Digital Twin (DT) technologies with industrial control systems represents an important step toward real-time monitoring and synchronization of manufacturing processes within Industry 4.0 environments. However, reproducible approaches for connecting simulation environments with real industrial control hardware using standardized communication protocols remain insufficiently described in the existing literature. This study presents the development of an online Digital Twin for real-time monitoring of manufacturing processes using OPC UA communication and programmable logic controller (PLC) data exchange. The proposed approach combines discrete-event simulation with real-time industrial data acquisition to enable synchronization between a physical manufacturing system and its virtual representation. The implementation was experimentally validated in a laboratory-scale cyber–physical production system using Tecnomatix Plant Simulation, Siemens S7-1200 PLC, and KEPServerEX middleware. The developed architecture enables real-time process state monitoring, event-driven synchronization, and verification of selected control and safety functions within the simulation environment. The results demonstrate stable synchronization between the physical and digital systems with response times ranging from 50 to 200 ms, confirming the feasibility of near-real-time integration. The implemented light barrier scenario further demonstrated the capability of the online DT to reflect safety-related events occurring in the physical system. The main contribution of this study lies in the implementation and experimental verification of an OPC UA-based online Digital Twin architecture for manufacturing process monitoring in a laboratory environment. The presented approach provides a foundation for future extensions toward predictive analytics, scenario-based simulation, and advanced manufacturing optimization applications.","url":"https://doi.org/10.3390/pr14132030","authors":["Jana Kronová","Miriam Pekarčíková","Marek Kliment","Peter Trebuňa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-23T08:19:52Z","doi":"10.3390/pr14132030","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.2139/ssrn.5736548","name":"Cognitive Digital Twin Modeling of Human-Robot Collaborative Work Environments: Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5736548","authors":["Congjun Jin","Raja Issa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-11T20:43:15Z","doi":"10.2139/ssrn.5736548","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/ieeeconf67917.2025.11443746","name":"Digital Twin Assisted Cooperative MIMO","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeeconf67917.2025.11443746","authors":["Chanho Park","Yubeen Jo","Namyoon Lee"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-26T19:47:37Z","doi":"10.1109/ieeeconf67917.2025.11443746","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1108/ijqrm-02-2026-0055","name":"Digital twin-driven supply chain quality management for strengthening manufacturing resilience: a scoping review","source":"crossref","abstract":"Purpose This study examines how digital twins (DT) enhances supply chain quality management (SCQM) and manufacturing resilience. Specifically, the study investigates the quality management and resilience capabilities enabled through DT adoption and identifies the organizational, technological and process-related prerequisites necessary for effective DT-enabled SCQM. Design/methodology/approach A scoping review was conducted to systematically map existing literature on DT applications in SCQM. A total of 23 peer-reviewed articles published in supply chain quality management, digital twin and cyber-physical system domains were analyzed. The review focused on identifying patterns in DT adoption, quality and resilience outcomes and enabling organizational and technological factors. Drawing on information processing theory (IPT), the study examines how DT capabilities align with organizational information processing needs under uncertainty and supply chain quality variability. Findings The findings indicate that DTs enhance SCQM through real-time monitoring, predictive quality analytics, simulation-driven decision support and continuous process optimization. DT-enabled organizations demonstrate improved visibility, faster response to disruptions, enhanced quality control and increased supply chain resilience. Effective implementation depends on integrated IT infrastructure, standardized and interoperable data systems, cross-functional collaboration and process integration across supply chain partners. The study further identifies maturity progression from foundational monitoring and integration capabilities toward predictive, prescriptive and resilience-oriented SCQM systems. Originality/value This study advances the theoretical understanding of DT-enabled SCQM by integrating digital twin, resilience, and quality management perspectives through an IPT lens. It proposes a digital twin maturity framework and an IPT–DT alignment framework that explain how organizations align digital twin capabilities with information processing requirements. The study also provides actionable guidance for practitioners seeking to enhance supply chain quality performance and resilience through DT adoption.","url":"https://doi.org/10.1108/ijqrm-02-2026-0055","authors":["Senthilkumar Thiyagarajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-15T10:14:20Z","doi":"10.1108/ijqrm-02-2026-0055","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/iccpct70290.2026.11654893","name":"Digital Twin-Assisted Computer Vision Framework for Industry 5.0 Smart Manufacturing Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccpct70290.2026.11654893","authors":["S. K Shiji","J Anil","Samla Salim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-21T19:13:51Z","doi":"10.1109/iccpct70290.2026.11654893","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/peeec67807.2025.00027","name":"Digital Twin-Driven Optimization for Prefabricated Lifting","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peeec67807.2025.00027","authors":["Weiya Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-31T19:50:30Z","doi":"10.1109/peeec67807.2025.00027","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00008-x","name":"Blockchain for waste management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00008-x","authors":["Gavina Baralla","Andrea Pinna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T20:46:44Z","doi":"10.1016/b978-0-443-30076-9.00008-x","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3390/pr14121873","name":"Digital Twin Technology for TIDES Process Development and Manufacturing","source":"crossref","abstract":"TIDEs (therapeutic peptides, oligonucleotides, and related molecules) represent a rapidly expanding market that has gained significant momentum due to the recent success of Glucagon-like peptide-1 (GLP-1) receptor agonists for the treatment of obesity, diabetes and as cardiovascular and kidney diseases. Chemical synthesis remains the dominant manufacturing route for candidates containing approximately 10–40 amino acids and includes non-proteinogenic amino acids. Consequently, various combinations of solid-phase peptide synthesis (SPPS), liquid-phase peptide synthesis (LPPS), hybrid approaches, or tag-assisted peptide synthesis (TAPS) can be applied to achieve full-sequence assembly. However, identifying the most eco-efficient pathway through experimental trials alone is impractical because of the vast number of possible process combinations and the growing variety of green solvent alternatives. Therefore, process simulation studies—widely established in chemical engineering—must be adapted to the specific physicochemical characteristics of these large, multi-component molecules. This paper provides an overview of the current state of research and illustrates potential process improvements enabled by digital twin technologies as exemplified for the first manufacturing steps of tirzepatide.","url":"https://doi.org/10.3390/pr14121873","authors":["Alexander Uhl","Marcel Broocks","Tom O. J. Schulz","Atzin Moran Mendoza","Axel Schmidt","Jochen Strube"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-10T00:58:12Z","doi":"10.3390/pr14121873","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s12008-025-02312-8","name":"Surface roughness digital twin based on stereolithography physics for non-planar profiles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12008-025-02312-8","authors":["Cesar Chavez-Tolentino","Nicolas J. Hendrichs","Hector R. Siller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-15T09:12:44Z","doi":"10.1007/s12008-025-02312-8","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1049/cim2.70024","name":"A Digital Twin and Big Data‐Driven Opti‐State Control Framework for Production Logistics Synchronisation System","source":"crossref","abstract":"ABSTRACT The randomness and persistence of dynamic disturbances pose significant challenges to resource integration, task allocation, and goal setting within production logistics system. To maintain the optimal operational state of production logistics system over the long term, predictive planning and intervention must occur before disturbances arise, whereas adaptive adjustments are necessary to correct system states after disturbances occur. However, the effective implementation of these control strategies is hindered by several obstacles, such as a lack of comprehensive data and valuable knowledge, which impedes the support for opti‐state control (OsC). Fortunately, with the advancements in information technologies such as the IoT and digital twins, it is now possible to collect and process vast amounts of real‐time, full‐lifecycle big data, thereby enabling more informed optimisation decisions. This paper proposes a digital twin and big data‐based opti‐state control system (DTBD‐OsCS). The architecture integrates big data analytics and service‐driven patterns, effectively addressing the aforementioned challenges. Within this framework, both predictive opti‐state control (POsC) and adaptive opti‐state control (AOsC) strategies are incorporated, along with the development of key technologies for implementing big data analysis. The proposed architecture's effectiveness is demonstrated through application scenarios, and experimental results and findings are thoroughly discussed. The results show that the proposed architecture significantly enhances the efficiency of production logistics systems and effectively reduces the cost impact of disturbances on the system.","url":"https://doi.org/10.1049/cim2.70024","authors":["Yongheng Zhang","Zhicong Hong","Yafeng Wei","Ting Qu","Geroge Q. Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-30T01:00:36Z","doi":"10.1049/cim2.70024","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1049/pbpc071e","name":"The Digital Twin Handbook","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbpc071e","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-17T10:34:07Z","doi":"10.1049/pbpc071e","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-36370-2.00030-x","name":"Integration of digital twin and blockchain for smart hospitals","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-36370-2.00030-x","authors":["Hossein Hassani","Steve MacFeely"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-31T19:31:57Z","doi":"10.1016/b978-0-443-36370-2.00030-x","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s00170-025-16751-w","name":"An integrated fourfold automation framework for digital twin services in intelligent CNC machining","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-16751-w","authors":["Hua Yang","Pengcheng Wu","Linqiong Qiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-16T09:30:38Z","doi":"10.1007/s00170-025-16751-w","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003518198","name":"Digital Product Design and Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003518198","authors":["Gheorghe Oancea","Panagiotis Kyratsis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-04T11:41:05Z","doi":"10.1201/9781003518198","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/wsc68292.2025.11339088","name":"Digital Twin to Mitigate Adverse Addictive Gambling Behavior","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11339088","authors":["Felisa Vázquez-Abad","Jason Young","Silvano Bernabel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11339088","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.29296/25879979-2025-08-03","name":"Nurse and Digital Twin: A New Paradigm of Palliative Care","source":"crossref","abstract":"A digital twin is a virtual copy of a real object or system that is constantly connected to the original and updated based on its data. In healthcare, this technology opens new possibilities for personalized medicine, especially in palliative care. The article examines the application of digital twins in palliative medicine and their impact on nursing practice. The main areas of application include: continuous monitoring of patient conditions, predictive models of deterioration, personalization of care and treatment, improvement of communication between treatment participants. However, the implementation of digital twins is associated with ethical challenges, including issues of data privacy, algorithmic bias and preservation of humanity in care. For nurses, the emergence of digital twins means not replacement, but transformation of the professional role – from executors of routine tasks to coordinators of high-tech and human-centered care. Successful integration of these technologies requires personnel training, ethical regulation and preservation of compassionate care values.","url":"https://doi.org/10.29296/25879979-2025-08-03","authors":["D.P. Seliverstov","P.V. Seliverstov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-08T10:14:41Z","doi":"10.29296/25879979-2025-08-03","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00013-3","name":"Blockchain applications in the construction industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00013-3","authors":["Vagelis Plevris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T17:58:52Z","doi":"10.1016/b978-0-443-30076-9.00013-3","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/metroaerospace69299.2026.11646663","name":"Digital Twin-based In-Machine Metrology for Adaptive Manufacturing in Aerospace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace69299.2026.11646663","authors":["Borja de La Maza","Alicia González","Toni Ventura Traveset"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-18T19:12:02Z","doi":"10.1109/metroaerospace69299.2026.11646663","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/j.rcim.2026.103343","name":"Geometric digital twin: A digital and intelligent model for aero-engine assembly accuracy prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2026.103343","authors":["Ke Shang","Xin Jin","Teli Xu","Xiaole Guan","Zhijing Zhang","Chaojiang Li","Tianyi Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-23T16:19:01Z","doi":"10.1016/j.rcim.2026.103343","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/9781394411320.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411320.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-12T21:29:24Z","doi":"10.1002/9781394411320.fmatter","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/gcwkshps68340.2025.11591210","name":"An Investigation of Trust Management Systems in Digital Twin Architectures","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps68340.2025.11591210","authors":["Claudio Marche","Michele Nitti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-07T19:42:22Z","doi":"10.1109/gcwkshps68340.2025.11591210","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00016-2","name":"6G and blockchain convergence in the smart industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00016-2","authors":["Fah Choy Chia"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:59:02Z","doi":"10.1016/b978-0-443-34226-4.00016-2","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/iccad69956.2026.11643141","name":"Development of a Web-Based Digital Twin Module for Smart Manufacturing and Logistics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccad69956.2026.11643141","authors":["Kuo-Shen Chen","Yu-Jun Kuo","Dirk Oberschmidt"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-17T19:14:20Z","doi":"10.1109/iccad69956.2026.11643141","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/27525783.2025.2612464","name":"Integrating digital twins and decision support systems for predictive risk management in urban renewal","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2612464","authors":["Thomas O. Okimi","Oluwaseyi Adeoye","Olayinka Omoboye"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-19T18:35:23Z","doi":"10.1080/27525783.2025.2612464","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/s00170-025-16042-4","name":"A digital twin and machine learning approach for real-time fatigue life prediction of CFRP-to-aluminum adhesive joints subjected to environmental aging","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-025-16042-4","authors":["Ardavan Anvari","Sajjad Karimi","Amin Latifi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-11T13:57:47Z","doi":"10.1007/s00170-025-16042-4","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/aff2.70064/v2/review1","name":"Review for \"FishMet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/aff2.70064/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-21T17:06:16Z","doi":"10.1002/aff2.70064/v2/review1","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.12968/s2514-9768(25)90042-7","name":"UK Taking Digital Lead","source":"crossref","abstract":"Global research report from Rockwell Automation reveals how UK manufacturers are leveraging AI to enhance workforce capabilities and drive operational resilience.","url":"https://doi.org/10.12968/s2514-9768(25)90042-7","authors":["Paul Fanning"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-07-01T14:45:12Z","doi":"10.12968/s2514-9768(25)90042-7","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-86705-7_48","name":"Towards a Practical Digital Twin: A Multi-Model AI-Driven Approach for Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-86705-7_48","authors":["Karim Gehad Saadeldin","Radouane Majdoul"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-17T04:19:15Z","doi":"10.1007/978-3-031-86705-7_48","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-032-24513-7_26","name":"A Review of Digital Twin Architectures in IIoT-Driven Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-24513-7_26","authors":["Erilda Muka","Galia Marinova","Emiliano Mankolli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-05T22:20:33Z","doi":"10.1007/978-3-032-24513-7_26","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/27525783.2026.2668136","name":"Design of a digital-twin-based dynamic scheduling system for AGVs in automated container terminals","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2668136","authors":["Xinyu Xie","Liqun Lu","Shanshan Fu","YiXuan Cui","Jing Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-11T15:08:28Z","doi":"10.1080/27525783.2026.2668136","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1142/9789819824625_0016","name":"Digital Twin Creates a Master’s Work","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0016","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0016","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-032-03722-0_18","name":"Current Perspectives on Digital-Twin Driven Laser Welding","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-03722-0_18","authors":["Sadiq Gbagba","Franco Concli"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-01T00:34:31Z","doi":"10.1007/978-3-032-03722-0_18","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003492146-12","name":"Digital Twins for Rail Network Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-12","authors":["Farzaneh Tahmoorian","Travis March","Maksym Spiryagin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-12","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003492146-8","name":"Digital Twins for Rail Vehicle Designs","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-8","authors":["Nicola Bosso","Matteo Magelli","Nicolò Zampieri"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-8","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.3389/fmtec.2025.1754316","name":"Editorial: Editor’s challenge in digital manufacturing - digital transformation of manufacturing through industrial metaverse: opportunities and challenges for industry 5.0","source":"crossref","abstract":"","url":"https://doi.org/10.3389/fmtec.2025.1754316","authors":["Dimitris Mourtzis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-17T06:42:58Z","doi":"10.3389/fmtec.2025.1754316","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1201/9781003518747-3","name":"Building the Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003518747-3","authors":["Muhammad Waqas Khan","Syed Saad","Kumeel Rasheed","Syed Ammad"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-18T15:27:02Z","doi":"10.1201/9781003518747-3","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1142/9789819824625_0004","name":"Digital Twin Helps Intelligent Transportation Simulation Upgrade","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0004","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0004","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1007/978-3-031-58523-4_7","name":"Smart Factory Digital Twin for Performance Measurement, Optimization, and Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_7","authors":["Suhas D. Joshi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-26T21:01:51Z","doi":"10.1007/978-3-031-58523-4_7","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.12968/s2514-9768(25)90070-1","name":"Smarter Growth with Digital Overhaul","source":"crossref","abstract":"Made Smarter helps fire safety manufacturer streamline and scale with warehouse upgrade","url":"https://doi.org/10.12968/s2514-9768(25)90070-1","authors":["Paul Fanning"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-31T15:43:18Z","doi":"10.12968/s2514-9768(25)90070-1","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.30844/i4sd.25.3.52","name":"Wettbewerbsfähig mit dem Digital Supply Chain Twin – Mehr Resilienz, Reaktionsfähigkeit und Transparenz im Supply Chain Management","source":"crossref","abstract":"","url":"https://doi.org/10.30844/i4sd.25.3.52","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-22T08:40:13Z","doi":"10.30844/i4sd.25.3.52","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/27525783.2026.2711474","name":"Co-evolution of models and solutions: a multi-objective genetic algorithm for self-correcting digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2026.2711474","authors":["Mehdi Jalali-Varnamkhasti","Mohammad Jalali Varnamkhasti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-08-09T04:39:11Z","doi":"10.1080/27525783.2026.2711474","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.33313/389/295","name":"Applying WMS Digital Twin Technology to Manage Material Flows Parallel to Production","source":"crossref","abstract":"ABSTRACT The utilization of digital twin technology in steel industry warehousing and logistics is often limited to simulations used to assist in the planning and design of warehousing solutions1). Modern WMS (Warehouse Management System) Digital Twins are designed to act as a tool for informed decision-making parallel to on-going production. The article discusses how digital twin technology, using real-time data, can enhance predictability and optimize material flow performance in warehousing operations on a day-to-day basis.","url":"https://doi.org/10.33313/389/295","authors":["Tuomas Vuorenmaa","Eero Anttila","Samu Rantala","Jagannathan Rajagopalan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-08T09:57:28Z","doi":"10.33313/389/295","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-34226-4.00024-1","name":"AI-enabled IoMT: transforming healthcare in smart hospitals","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34226-4.00024-1","authors":["Norah Alsaeed","Farrukh Nadeem"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-07T09:59:42Z","doi":"10.1016/b978-0-443-34226-4.00024-1","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-443-30076-9.00006-6","name":"IoT networks for smart cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-30076-9.00006-6","authors":["Qasem Abu Al-Haija"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-01T21:53:17Z","doi":"10.1016/b978-0-443-30076-9.00006-6","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00010-x","name":"Intelligent digital twin reference architecture models for medical and healthcare industry","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00010-x","authors":["Zhi Wang","Abdulmotaleb El Saddik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:37:08Z","doi":"10.1016/b978-0-32-399163-6.00010-x","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.5006/c2025-00568","name":"Digital Twin and Corrosion Modeling Techniques for Atmospheric Corrosion in Aircraft Structures","source":"crossref","abstract":"Abstract Accurate corrosion modeling allows engineers to predict when and where corrosion is likely to occur, and to which extent it can affect exposed structures. This allows improved design and materials selection, facilitates timely maintenance and repair, hence reducing downtime and preventing structural failures. Physics-based galvanic corrosion modeling has reached a high level of maturity and reliability, where the mechanics of the simulation is well proven and understood. However, there are still many challenges to address. One of them is that the solvers require accurate data in order to produce accurate predictions. The acquisition of such data for a meaningful simulation is not a trivial task. For example, corrosion and environmental sensors can collect relative humidity, temperature, electrolyte conductance, and accumulated charge among other parameters, but the required direct inputs for the model are polarization curves, film thickness and electrolyte conductivity. This paper presents the different techniques including reduced order models, polarization data deconvolution and corrosion modeling via finite elements currently developed for a digital twin system capable of collecting environmental data from sensors, transforming the acquired data into useful inputs for numerical models, generating representative load cases, and finally predicting accumulated corrosion damage over a certain period.","url":"https://doi.org/10.5006/c2025-00568","authors":["Andres Peratta","Robert Adey","Ryan Butchers","Thomas Curtin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-16T17:10:39Z","doi":"10.5006/c2025-00568","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1016/b978-0-323-91300-3.00009-7","name":"Digital twin enhanced tribo-test service","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-91300-3.00009-7","authors":["Zhinan Zhang","Yufei Ma","Ke He","Ruiqi Hu","Mingxuan Hu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-18T10:37:33Z","doi":"10.1016/b978-0-323-91300-3.00009-7","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/is61756.2024.10705254","name":"Analyzing the Application of Digital Twin Technology in Manufacturing Processes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/is61756.2024.10705254","authors":["Assiya Boltaboyeva","Nurgul Karymssakova","Madina Mansurova","Baglan Imanbek","Bibars Amangeldy","Nurdaulet Tasmurzayev"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-09T17:45:15Z","doi":"10.1109/is61756.2024.10705254","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.14569/ijacsa.2024.01504100","name":"Optimization Method for Digital Twin Manufacturing System Based on NSGA-II","source":"crossref","abstract":"","url":"https://doi.org/10.14569/ijacsa.2024.01504100","authors":["Yu Ding","Longhua Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-06T12:18:59Z","doi":"10.14569/ijacsa.2024.01504100","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-58523-4_11","name":"Digital Twin Application in Various Sectors","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_11","authors":["M. Mythily","Beaulah David","J. Antony Vijay"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-26T21:01:51Z","doi":"10.1007/978-3-031-58523-4_11","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.32604/cmes.2022.022415","name":"An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.32604/cmes.2022.022415","authors":["Jie Ren"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-29T07:16:51Z","doi":"10.32604/cmes.2022.022415","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.14445/22315381/ijett-v72i1p114","name":"Toward the Implementation of Digital Twin for Assessing the Ergonomic Aspects on Manufacturing Process","source":"crossref","abstract":"","url":"https://doi.org/10.14445/22315381/ijett-v72i1p114","authors":["Yunita Aulia","Rida Zuraida"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-19T00:23:43Z","doi":"10.14445/22315381/ijett-v72i1p114","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.5006/m2025_00678","name":"Digital Twin Framework for Air Conditioning","source":"crossref","abstract":"Abstract With the world’s high focus in digitalization, Saudi Arabia vision 2030 plays an important role in developing a well-structured strategy to deploy digitalization technologies. Energy conservation is also an important card within the company as it contributes heavily in value creation. Heating, ventilation, and air conditioning (HVAC) consumes approximately 80% of energy within the kingdom. Significant part of this percentage relies on maintenance and operation. Accordingly, new technologies are evolving in this sector. This paper will introduce a type of technology that merge both digitalization and maintenance through new technologies that use Artificial Intelligence (AI) to reduce energy consumption in the HVAC system; namely the Air Handling Unit (AHU). The technology that this paper will present is called Digital Twin Framework (DTF), which is expanding in the domain of maintenance by using building information modeling (BIM), the Internet of Things (IoT), and semantic technologies. It is used to provide a maintenance frame work: operating fault detection in air handling units (AHU). The technology can also create maintenance frame work and potential prediction of future operation shortcomings. The technology has been in use globally and definitely will create great value upon implementation in harsh ambient conditions like Saudi Arabia.","url":"https://doi.org/10.5006/m2025_00678","authors":["Ahmad Almulla","Hamza Alkhateeb","Riyadh Alghamdi","Shafi Ansari","Khalid Almulhim","Saad Aldbass","Rahaf Almutairi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-18T21:34:43Z","doi":"10.5006/m2025_00678","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/9781394365371.ch21","name":"Computational Approaches to Advanced Digital Manufacturing Practices","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394365371.ch21","authors":["D.V.S.S.S.V. Prasad","Akhilesh Kumar Singh","Rahula Bharathi. B. Marxim","Yarrapragada K.S.S. Rao","V.V. Kamesh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-05T17:41:32Z","doi":"10.1002/9781394365371.ch21","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/wcmeim56910.2022.10021423","name":"Design and Research of Digital Twin System for Hybrid Robot","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcmeim56910.2022.10021423","authors":["Zehui Ma","Jing Li","Nanyan Shen","Jun Zhao","Hao Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:57:00Z","doi":"10.1109/wcmeim56910.2022.10021423","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-030-04137-3_12","name":"Using Commercial Software to Create a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-04137-3_12","authors":["David T. Sturrock"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-05-25T12:04:45Z","doi":"10.1007/978-3-030-04137-3_12","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/issm64832.2024.10874889","name":"AI and Digital Twin Integration in Autonomous Robot Orchestration Solution (AROS)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/issm64832.2024.10874889","authors":["Jaeho Lee","Jinhyeok Park","Sangpyo Hong","Illhoe Hwang","Seol Hwang","Young Jae Jang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-14T13:25:15Z","doi":"10.1109/issm64832.2024.10874889","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3390/app14104125","name":"An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes","source":"crossref","abstract":"The present research proposes the implementation of an architecture for industrial process monitoring and control for a manufacturing execution system (MES) using an immersive digital twin (DT). For the design of the proposal, cyber–physical systems (CPS), MES, robotics, the Internet of Things, augmented reality, virtual reality, and open platform communication-unified architecture (OPC UA) communication protocols were used to integrate these technologies and enhance the functionalities of the DT by providing greater performance. The proposed work is implemented in an Industry 4.0 laboratory that is composed of Festo Cyber–Physical Factory and CP-Lab stations. The implementation of the architecture is based on ISO 23247, where the following requirements were considered for the design of DTs: (1) observable attributes and 3D design and visualization of all physical production lines in all of their stages, (2) a communication entity through the OPC UA protocol for the collection of state changes of manufacturing elements, (3) a DT entity where digital models are modeled and updated based on the collected data, and (4) user entities through the use of AR and VR to make manufacturing more efficient. The experimental results showed that the architecture enables interoperability between different platforms and control subsystems. It allows for the detection and diagnosis of problems during the execution of the production line; in addition, the high-fidelity simulation and AR and VR environments provided by the DT with data obtained in real time can improve the accuracy and efficiency of manufacturing through a more detailed analysis of the process, providing advantages such as interactive creation for customized products and continuous innovation.","url":"https://doi.org/10.3390/app14104125","authors":["Gustavo Caiza","Ricardo Sanz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-14T03:20:29Z","doi":"10.3390/app14104125","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1002/9781394303601.ch24","name":"Artificial Intelligence Techniques in Predictive Maintenance, Their Applications, Challenges, and Prospects","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303601.ch24","authors":["Akriti Rai","Jyotika shastri","Hina Bansal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-13T21:20:12Z","doi":"10.1002/9781394303601.ch24","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.procir.2020.03.031","name":"Using finite element analysis to develop a digital twin of a manufacturing bending operation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2020.03.031","authors":["E.P. Hinchy","C. Carcagno","N.P. O’Dowd","C.T. McCarthy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-09-22T11:22:45Z","doi":"10.1016/j.procir.2020.03.031","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3390/computers13040100","name":"Digital Twin and 3D Digital Twin: Concepts, Applications, and Challenges in Industry 4.0 for Digital Twin","source":"crossref","abstract":"The rapid development of digitalization, the Internet of Things (IoT), and Industry 4.0 has led to the emergence of the digital twin concept. IoT is an important pillar of the digital twin. The digital twin serves as a crucial link, merging the physical and digital territories of Industry 4.0. Digital twins are beneficial to numerous industries, providing the capability to perform advanced analytics, create detailed simulations, and facilitate informed decision-making that IoT supports. This paper presents a review of the literature on digital twins, discussing its concepts, definitions, frameworks, application methods, and challenges. The review spans various domains, including manufacturing, energy, agriculture, maintenance, construction, transportation, and smart cities in Industry 4.0. The present study suggests that the terminology “3 dimensional (3D) digital twin” is a more fitting descriptor for digital twin technology assisted by IoT. The aforementioned statement serves as the central argument of the study. This article advocates for a shift in terminology, replacing “digital twin” with “3D digital twin” to more accurately depict the technology’s innate potential and capabilities in Industry 4.0. We aim to establish that “3D digital twin” offers a more precise and holistic representation of the technology. By doing so, we underline the digital twin’s analytical ability and capacity to offer an intuitive understanding of systems, which can significantly streamline decision-making processes using the digital twin.","url":"https://doi.org/10.3390/computers13040100","authors":["April Lia Hananto","Andy Tirta","Safarudin Gazali Herawan","Muhammad Idris","Manzoore Elahi M. Soudagar","Djati Wibowo Djamari","Ibham Veza"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-16T04:21:59Z","doi":"10.3390/computers13040100","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1061/9780784485910.152","name":"Digital Twin-Enabled Visualization of Carbon Emissions in Building Operation and Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485910.152","authors":["Yu Chen","Xincong Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-26T06:01:34Z","doi":"10.1061/9780784485910.152","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1080/27525783.2023.12519308","name":"A digital twin-based green construction management method for prefabricated buildings\n         \t\t\t[version 1; peer review: 2 approved]","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2023.12519308","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-29T16:05:51Z","doi":"10.1080/27525783.2023.12519308","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.55092/sc20250022","name":"Digital twin-enabled anti-collision system for smart construction sites","source":"crossref","abstract":"","url":"https://doi.org/10.55092/sc20250022","authors":["Shuxuan Zhao","Chenglin Yu","Ray Y. Zhong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-04T15:05:16Z","doi":"10.55092/sc20250022","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/syscon64521.2025.11014871","name":"DITHER: Digital Twin for Energy Estimation of Heterogeneous Swarm of Robots","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon64521.2025.11014871","authors":["Omar Hammami","Chunyu ZHANG"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-30T17:43:30Z","doi":"10.1109/syscon64521.2025.11014871","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1002/9781394411337.contrib","name":"List of Authors","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394411337.contrib","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-19T21:19:09Z","doi":"10.1002/9781394411337.contrib","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:45.214Z"},{"id":"doi:10.1109/indin58382.2024.10774271","name":"Construction of Manufacturing Workshop Monitoring System Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin58382.2024.10774271","authors":["Huichen Pan","Hui Ye","Xiaofei Yang","Tianxiang Hu","Wei Liu","Xu Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:05:07Z","doi":"10.1109/indin58382.2024.10774271","addedAt":"2026-09-01T01:47:45.214Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3390/ma18225146","name":"Application of CMT-Twin DED-Arc Process on the Fabrication of Invar 36 by In Situ Alloying.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18225146","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18225146","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/polym17233167","name":"Influence of Cork Waste Processing in the Fabrication of Polymer Composites by Additive Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym17233167","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/polym17233167","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-15688-0","name":"The application of industry 4.0 into the company's production activities through effective decision-making.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-15688-0","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-15688-0","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma18214848","name":"Editorial on the Special Issue Entitled \"Towards a Sustainable and Recyclable Future with Wood and Wood-Based Composites\".","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18214848","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18214848","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1371/journal.pone.0322729","name":"Carbon fiber reinforced composite material layup design optimization method and its application in automobile battery box.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0322729","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0322729","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/polym17162215","name":"Digital Twin-Enabled Extrusion Control for High-Fidelity Printing of Polymers.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym17162215","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/polym17162215","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25185810","name":"Research on Shape-Performance Integrated Monitoring Technology for Planetary Gearboxes Based on the Integration of Artificial Intelligence, Finite Element Analysis, and Multibody Dynamics Simulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185810","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25185810","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1021/acscentsci.5c01651","name":"Programmable Light-Driven Color Tuning of Perovskite Quantum Dots.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acscentsci.5c01651","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1021/acscentsci.5c01651","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s44185-025-00116-3","name":"FAIR digital twins for biodiversity: enabling data, model, and workflow integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44185-025-00116-3","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s44185-025-00116-3","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25113362","name":"Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25113362","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25113362","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1371/journal.pone.0339003","name":"A novel prediction approach of three-dimensional thermal fatigue cracks in thermal compression bonding electrodes based on digital twin.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0339003","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1371/journal.pone.0339003","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25247504","name":"Design, Analysis, and Prototyping of a Multifunctional Digital Twin-Enabled Aerospace Drilling End-Effector Deployable by a Collaborative Robot.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247504","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25247504","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25216531","name":"Design of a Modularized IoT Multi-Functional Sensing System and Data Pipeline for Digital Twin-Oriented Real-Time Aircraft Structural Health Monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25216531","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25216531","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-025-17587-w","name":"A method for constructing digital twins of CNC machine tools feed systems based on hybrid mechanism-data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-17587-w","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1038/s41598-025-17587-w","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma19010009","name":"Neural Network-Enabled Process Flowsheet for Industrial Shot Peening.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19010009","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma19010009","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25113349","name":"Virtual, Augmented, and Mixed Reality Robotics-Assisted Deep Reinforcement Learning Towards Smart Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25113349","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25113349","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/ma18225085","name":"Quality, Microstructure and Properties of Metal Alloys (Second Volume).","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18225085","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/ma18225085","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/s25133889","name":"Research on the Digital Twin System of Welding Robots Driven by Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25133889","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/s25133889","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1016/j.ijpharm.2025.126064","name":"Development of a model-based soft-sensor for real time forecasting of particle size distribution during wet bead milling of concentrated nanosuspension-based long acting injectable (LAI) drug product.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2025.126064","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.1016/j.ijpharm.2025.126064","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1038/s41598-026-44347-1","name":"Impact of artificial intelligence-driven digital twins and lean six sigma-assisted power system asset management on long-term investment planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-44347-1","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1038/s41598-026-44347-1","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.3390/biomimetics11010017","name":"Bio-Inspired Reactive Approaches for Automated Guided Vehicle Path Planning: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010017","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2025","doi":"10.3390/biomimetics11010017","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.1002/advs.202522466","name":"Cluster-Mediated Solute Stabilization and Shear-Bypass Synergistic Strengthening in High-Alloyed Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.202522466","authors":[],"tags":[],"confidence":0.8,"sites":["digital-twin"],"publishedDate":"2026","doi":"10.1002/advs.202522466","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.3830380","name":"Health Silk Road 2020: A Bridge to the Future of Health for All","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3830380","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2021","doi":"10.2139/ssrn.3830380","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"doi:10.2139/ssrn.4529798","name":"Exploring Challenges and the Evolution of the Retail Industry: A Consumer Perspective","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4529798","authors":[],"tags":[],"confidence":0.74,"sites":["digital-twin"],"publishedDate":"2023","doi":"10.2139/ssrn.4529798","addedAt":"2026-09-01T01:47:45.215Z","updatedAt":"2026-09-01T01:47:45.215Z"},{"id":"oa:W4390604252","name":"Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends","source":"openalex","abstract":"The advent of Industry 4.0 has triggered a profound transformation in manufacturing and supply chain management, necessitating the adaptation of supplier selection processes to this evolving technological landscape. This comprehensive review paper places a significant focus on the role of multi-criteria decision-making (MCDM) methodologies and emerging trends in the context of supplier selection within Industry 4.0. It underscores the critical importance of effective supplier selection in achieving operational excellence and bolstering supply chain resilience in this new era, exploring the challenges and opportunities presented by technological advances such as the Internet of Things, big data analytics, artificial intelligence, and advanced manufacturing techniques. The paper looks into the theoretical underpinnings of MCDM techniques, highlighting their suitability for addressing the complex, multi-dimensional criteria associated with supplier selection. As a valuable resource, this study caters to researchers, practitioners, and decision-makers navigating the intricate landscape of supplier selection within the dynamic area of Industry 4.0, emphasizing the pivotal role of MCDM methodologies and the ever-evolving dynamics shaping supplier selection processes in the digital age.","url":"https://doi.org/10.31181/dma21202420","authors":["Sushil Kumar Sahoo","Shankha Shubhra Goswami","Rohit Halder"],"tags":["Multiple-criteria decision analysis","Supply chain","Selection (genetic algorithm)","Context (archaeology)","Supply chain management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-05","doi":"https://doi.org/10.31181/dma21202420","addedAt":"2026-09-01T01:47:45.858Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W3199397800","name":"Artificial intelligence, systemic risks, and sustainability","source":"openalex","abstract":"Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments and private actors perceive and respond to climate and ecological change. Methods based on various forms of artificial intelligence are already today being applied in a number of research fields related to climate change and environmental monitoring. Investments into applications of these technologies in agriculture, forestry and the extraction of marine resources also seem to be increasing rapidly. Despite a growing interest in, and deployment of AI-technologies in domains critical for sustainability, few have explored possible systemic risks in depth. This article offers a global overview of the progress of such technologies in sectors with high impact potential for sustainability like farming, forestry and the extraction of marine resources. We also identify possible systemic risks in these domains including a) algorithmic bias and allocative harms; b) unequal access and benefits; c) cascading failures and external disruptions, and d) trade-offs between efficiency and resilience. We explore these emerging risks, identify critical questions, and discuss the limitations of current governance mechanisms in addressing AI sustainability risks in these sectors.","url":"https://doi.org/10.1016/j.techsoc.2021.101741","authors":["Victor Galaz","Miguel Ángel Centeno","Peter W. Callahan","Amar Causevic","Thayer Patterson","Irina Brass","Seth D. Baum","Darryl Farber","Joern Fischer","David García","Timon McPhearson","Daniel Jiménez","B. R. King","Paul Larcey","Karen Levy"],"tags":["Sustainability","Resilience (materials science)","Business","Climate change","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-09-17","doi":"https://doi.org/10.1016/j.techsoc.2021.101741","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4391169569","name":"The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation","source":"openalex","abstract":"From the perspective of innovation of manufacturing links, this paper conducted research on the current situation of manufacturing development and the relationship between regional economy development and digital transformation, aiming to offer suggestions and reference for relevant policy making. Firstly, taking the INCOPAT patent database as the data source, a quantitative analysis was conducted on the patent data of five key links in the manufacturing industry, which obtained the current situation and digital characteristics of the manufacturing industry development from the perspective of link innovation. Then, based on the relevant economic panel data of regions in China, coupling coordination analysis was conducted to investigate the current characteristics of digital transformation of the five links and the coordinated development of the regional economy from 2017 to 2021. The development level and characteristic relations of 31 provinces or cities in these two systems were analyzed. On the whole, the coordinated development level of the two systems in China is steadily rising but varies among different regions, that is, economically developed regions tend to have better digital transformation development. In general, manufacturing digital transformation in China highly relates to regional economy development. Moreover, the development speed of the two systems tends to be stable from 2017 to 2021. The regions with different coordinated development types should formulate corresponding policies to accelerate manufacturing digital transformation and regional economy development.","url":"https://doi.org/10.3390/su16031009","authors":["Heyong Wang","Long Gu","Ming Hong"],"tags":["China","Perspective (graphical)","Industrial organization","Business","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-24","doi":"https://doi.org/10.3390/su16031009","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403503429","name":"Exploring bias risks in artificial intelligence and targeted medicines manufacturing","source":"openalex","abstract":"BACKGROUND: Though artificial intelligence holds great value for healthcare, it may also amplify health inequalities through risks of bias. In this paper, we explore bias risks in targeted medicines manufacturing. Targeted medicines manufacturing refers to the act of making medicines targeted to individual patients or to subpopulations of patients within a general group, which can be achieved, for example, by means of cell and gene therapies. These manufacturing processes are increasingly reliant on digitalised systems which can be controlled by artificial intelligence algorithms. Whether and how bias might turn up in the process, however, is uncertain due to the novelty of the development. METHODS: Examining stakeholder views across bioethics, precision medicine, and artificial intelligence, we document a range of opinions from eleven semi-structured interviews about the possibility of bias in AI-driven targeted therapies manufacturing. RESULT: Findings show that bias can emerge in upstream (research and development) and downstream (medicine production) processes when manufacturing targeted medicines. However, interviewees emphasized that downstream processes, particularly those not relying on patient or population data, may have lower bias risks. The study also identified a spectrum of bias meanings ranging from negative and ambivalent to positive and productive. Notably, some participants highlighted the potential for certain biases to have productive moral value in correcting health inequalities. This idea of \"corrective bias\" problematizes the conventional understanding of bias as primarily a negative concept defined by systematic error or unfair outcomes and suggests potential value in capitalizing on biases to help address health inequalities. Our analysis also indicates, however, that the concept of \"corrective bias\" requires further critical reflection before they can be used to this end.","url":"https://doi.org/10.1186/s12910-024-01112-1","authors":["Ngozi Nwebonyi","Francis McKay"],"tags":["Philosophy of medicine","Downstream (manufacturing)","Health care","Value (mathematics)","Novelty"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-17","doi":"https://doi.org/10.1186/s12910-024-01112-1","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4392621828","name":"E-commerce and consumer behavior: A review of AI-powered personalization and market trends","source":"openalex","abstract":"In the dynamic landscape of electronic commerce (e-commerce), understanding and adapting to evolving consumer behavior is critical for the sustained success of online businesses. This review delves into the intersection of e-commerce and consumer behavior, focusing on the transformative role of Artificial Intelligence (AI)-powered personalization and its impact on market trends. The advent of AI has revolutionized the way e-commerce platforms engage with and cater to individual consumer preferences. AI-powered personalization techniques leverage advanced algorithms to analyze vast datasets, enabling the delivery of highly tailored and relevant content, product recommendations, and user experiences. This review explores the intricate mechanisms of AI-driven personalization, examining how it enhances customer engagement, satisfaction, and loyalty. Furthermore, the study investigates the prominent market trends shaped by AI in e-commerce. From chatbots and virtual assistants facilitating seamless customer interactions to predictive analytics optimizing inventory management, AI is driving innovation across various facets of the online retail landscape. The analysis delves into the integration of machine learning algorithms in predicting consumer preferences, streamlining the purchasing process, and fostering a more personalized shopping journey. As e-commerce continues to evolve, the review also explores the challenges and ethical considerations associated with AI-powered personalization. Issues such as data privacy, algorithmic bias, and the delicate balance between customization and intrusiveness are examined to provide a comprehensive understanding of the broader implications of AI in shaping consumer behavior. Ultimately, this review offers valuable insights into the symbiotic relationship between e-commerce and consumer behavior, shedding light on the transformative power of AI-powered personalization and its influence on emerging market trends. As businesses navigate the digital landscape, understanding and harnessing the potential of AI-driven strategies become imperative for staying competitive and meeting the evolving expectations of tech-savvy consumers.","url":"https://doi.org/10.30574/gscarr.2024.18.3.0090","authors":["Mustafa Ayobami Raji","Hameedat Bukola Olodo","Timothy Tolulope Oke","Wilhelmina Afua Addy","Onyeka Chrisanctus Ofodile","Adedoyin Tolulope Oyewole"],"tags":["Personalization","E-commerce","Business","Advertising","Commerce"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-09","doi":"https://doi.org/10.30574/gscarr.2024.18.3.0090","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402888134","name":"A Systematic Review of Green and Digital Transitional Factors in the Fashion Industry","source":"openalex","abstract":"Abstract Background The fashion industry’s current manufacturing approach raises various environmental and social concerns, including but not limited to carbon emissions, resource depletion, waste generation, substantial energy consumption, and labour exploitation. Green and digital fashion can minimise these issues. However, fashion’s green and digital shifts need more coverage. Objectives This paper aims to observe and explore the key elements of green and digital transitions in the fashion industry. Methods/Approach Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, this systematic review study examined articles on green and digital transformations in the fashion supply chain from 2012 to 2022 in relevant indexation services. The researchers used descriptive and content analysis to explain the results from 46 of the 518 publications that were relevant to their study. Results The study uncovered green transforming factors such as green materials, green energy, cleaner production, and others, as well as digital shifting factors like artificial intelligence, the Internet of Things (IoT), and robotics. Conclusions This study’s findings can assist practitioners and policymakers in integrating digital and green technologies into the fashion industry. Moreover, this study identified several research gaps that, if addressed, could have significant practical implications for the future of the fashion industry.","url":"https://doi.org/10.2478/bsrj-2024-0001","authors":["Sadrul Islam Sarker","I Bartók"],"tags":["Fashion industry","History","Archaeology","Clothing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-01","doi":"https://doi.org/10.2478/bsrj-2024-0001","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4392906494","name":"Towards industry 5.0 through metaverse","source":"openalex","abstract":"The digital transformation of the industry allows the optimization of resources through enabling technology that virtualizes the behavior of Cyber-Physical Systems (CPS) along the entire value chain. However, these virtual environments characterized by machine-to-machine interactions lacked the presence of humans who are at the center of the next defined industrial revolution, Industry 5.0. The goal is for humans to be actively integrated into these virtual environments called metaverses where interactions with environmental digital assets are possible. To achieve this human-centered industrial metaverse perspective, it is necessary to provide humans with technologies that allow them to reach a more immersive and realistic conception of the production processes. For this purpose, we present in this paper, a framework based on hyperconnectivity where several enabling technologies (e.g., Digital Twins, Virtual Reality, Industrial Internet of Things (IIoT)) are integrated in order to converge towards the industrial human-centered metaverse. To validate our framework, a demonstrator has been developed enabling the evaluation of the behavior of humans in virtual environments when facing collaborative tasks that require human-to-human interaction. Within the evaluation of this demonstrator, an experiment based on an assembly that requires interaction with an autonomous vehicle has been carried out both in reality and in the virtual world. The results obtained indicate that the avatars’ metaverse performance is closer to reality when individuals have previous experience with VR goggles, even proving, in this case, the effectiveness of metaverse for industrial operators’ training. In addition, the performance of the application has been evaluated with technical parameters and the perception of the users has been analyzed by conducting a survey receiving very positive feedback and results. Therefore, the industrial metaverse, blending cutting-edge tech with a human-centric approach for Industry 5.0, is now a reality.","url":"https://doi.org/10.1016/j.rcim.2024.102764","authors":["Alberto Martínez-Gutiérrez","Javier Díez-González","Hilde Pérez","Madalena Araújo"],"tags":["Metaverse","Economic geography","Computer science","Geography","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-18","doi":"https://doi.org/10.1016/j.rcim.2024.102764","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403914593","name":"Optimized XGBoost Model with Whale Optimization Algorithm for Detecting Anomalies in Manufacturing","source":"openalex","abstract":"Anomalies and defects in the manufacturing process hinder operating efficiency and product quality. The Whale Optimization Algorithm (WOA) optimizes the XGBoost model for better anomaly identification by iteratively refining hyperparameters. Experiments using real-world manufacturing datasets prove proposed model works. Comparing the proposed model to traditional anomaly detection methods shows its superior performance in industry patent concept. The optimized XGBoost model's interpretability and anomaly detection features are also discussed. In this paper, WOA is applied in this work to optimize hyperparameters of XGBoost, a robust gradient boosting technique for accurate anomaly detection in manufacturing systems. Optimized XGBoost gained 1.00 precision value, 0.9 recall value, and 0.96 f1-score for class 0.0 and gained a 0.95 precision value, 1.00 recall value, and a 0.97 f1-score for class 1.0. The proposed model gained 0.993 Train Score and 0.964 Test Score. Our findings suggest that integrating XGBoost with the WOA may uncover manufacturing process irregularities. Optimization improves detection accuracy and provides a flexible and interpretable framework, helping modern industrial processes maintain quality and efficiency. This research encourages machine learning optimization for industrial patent applications, advancing anomaly detection methods. Received: 2 June 2024 | Revised: 29 August 2024 | Accepted: 27 September 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Surjeet Dalal: Conceptualization, Validation, Writing – original draft, Project administration. Uma Rani: Conceptualization, Formal analysis, Writing – review & editing. Umesh Kumar Lilhore: Methodology, Investigation, Resources, Writing – original draft. Neeraj Dahiya: Methodology, Data curation, Writing - review & editing. Reenu Batra: Software, Visualization, Supervision. Nasratullah Nuristani: Software, Formal analysis, Investigation, Visualization. Dac-Nhuong Le: Validation, Supervision, Project administration.","url":"https://doi.org/10.47852/bonviewjcce42023545","authors":["Surjeet Dalal","Uma Rani","Umesh Kumar Lilhore","Neeraj Dahiya","Reenu Batra","Nasratullah Nuristani","Dac‐Nhuong Le"],"tags":["Whale","Optimization algorithm","Computer science","Algorithm","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-14","doi":"https://doi.org/10.47852/bonviewjcce42023545","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401524106","name":"Breaking the in-coupling efficiency limit in waveguide-based AR displays with polarization volume gratings","source":"openalex","abstract":"Augmented reality (AR) displays, heralded as the next-generation platform for spatial computing, metaverse, and digital twins, empower users to perceive digital images overlaid with real-world environment, fostering a deeper level of human-digital interactions. With the rapid evolution of couplers, waveguide-based AR displays have streamlined the entire system, boasting a slim form factor and high optical performance. However, challenges persist in the waveguide combiner, including low optical efficiency and poor image uniformity, significantly hindering the long-term usage and user experience. In this paper, we first analyze the root causes of the low optical efficiency and poor uniformity in waveguide-based AR displays. We then discover and elucidate an anomalous polarization conversion phenomenon inherent to polarization volume gratings (PVGs) when the incident light direction does not satisfy the Bragg condition. This new property is effectively leveraged to circumvent the tradeoff between in-coupling efficiency and eyebox uniformity. Through feasibility demonstration experiments, we measure the light leakage in multiple PVGs with varying thicknesses using a laser source and a liquid-crystal-on-silicon light engine. The experiment corroborates the polarization conversion phenomenon, and the results align with simulation well. To explore the potential of such a polarization conversion phenomenon further, we design and simulate a waveguide display with a 50° field of view. Through achieving first-order polarization conversion in a PVG, the in-coupling efficiency and uniformity are improved by 2 times and 2.3 times, respectively, compared to conventional couplers. This groundbreaking discovery holds immense potential for revolutionizing next-generation waveguide-based AR displays, promising a higher efficiency and superior image uniformity.","url":"https://doi.org/10.1038/s41377-024-01537-8","authors":["Yuqiang Ding","Yuchen Gu","Qian Yang","Zhiyong Yang","Yuge Huang","Yishi Weng","Yuning Zhang","Shin‐Tson Wu"],"tags":["Polarization (electrochemistry)","Waveguide","Optics","Optoelectronics","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-12","doi":"https://doi.org/10.1038/s41377-024-01537-8","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4405235079","name":"Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: Technologies, Applications, Challenges, and Future Directions","source":"openalex","abstract":"Rapid urbanisation has intensified the need for sustainable solutions to address challenges in urban infrastructure, climate change, and resource constraints. This study reveals that Artificial Intelligence (AI)-enabled metaverse offers transformative potential for developing sustainable smart cities. AI techniques, such as machine learning, deep learning, generative AI (GAI), and large language models (LLMs), enhance the metaverse’s capabilities in data analysis, urban decision making, and personalised user experiences. The study further examines how these advanced AI models facilitate key metaverse technologies such as big data analytics, natural language processing (NLP), computer vision, digital twins, Internet of Things (IoT), Edge AI, and 5G/6G networks. Applications across various smart city domains—environment, mobility, energy, health, governance, and economy, and real-world use cases of virtual cities like Singapore, Seoul, and Lisbon are presented, demonstrating AI’s effectiveness in the metaverse for smart cities. However, AI-enabled metaverse in smart cities presents challenges related to data acquisition and management, privacy, security, interoperability, scalability, and ethical considerations. These challenges’ societal and technological implications are discussed, highlighting the need for robust data governance frameworks and AI ethics guidelines. Future directions emphasise advancing AI model architectures and algorithms, enhancing privacy and security measures, promoting ethical AI practices, addressing performance measures, and fostering stakeholder collaboration. By addressing these challenges, the full potential of AI-enabled metaverse can be harnessed to enhance sustainability, adaptability, and livability in smart cities.","url":"https://doi.org/10.3390/electronics13244874","authors":["Zita Lifelo","Jianguo Ding","Huansheng Ning","Qurat Ul Ain","Sahraoui Dhelim"],"tags":["Metaverse","Computer science","Smart city","Transformative learning","Interoperability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-10","doi":"https://doi.org/10.3390/electronics13244874","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7129096244","name":"Comparative Evaluation of Voxel and Mesh Representations for Digital Defect Detection in Construction-Scale Additive Manufacturing","source":"openalex","abstract":"Additive manufacturing is increasingly used in construction, yet reliable quality assurance for three-dimensional-printed concrete elements remains a major challenge. Existing digital defect-detection methods, particularly voxel-based and mesh-based approaches, are often evaluated separately, which limits understanding of their relative capabilities for construction-scale inspection. This study establishes a controlled comparison of the two representations using identical scan-to-design data, consistent preprocessing, and unified defect thresholding. A voxel pipeline employing signed distance fields and a three-dimensional convolutional neural network, and a mesh pipeline using triangular surface reconstruction, geometric surface descriptors, and MeshCNN, were applied to structured-light scans of printed clay wall segments containing intentional voids, material buildup, and layer-height inconsistencies. Across common performance metrics, the voxel-based method achieved a recall of 95% for spatially coherent, volumetric-consistent void-related anomalies inferred from surface geometry, reflecting improved aggregation of distributed deviations, while the mesh-based method attained a mean surface defect localization error of 0.32 mm with a substantially lower computational cost in runtime and memory. These results clarify representation-dependent trade-offs and provide guidance for selecting appropriate inspection pipelines in extrusion-based construction. The findings establish a controlled, construction-oriented comparative framework for digital defect detection and support more efficient, reliable, and scalable quality-assurance workflows for sustainable additive manufacturing.","url":"https://doi.org/10.3390/buildings16040805","authors":["Seyedali Mirmotalebi","Hyosoo Moon","Raymond Tesiero","Sadia Jahan Noor"],"tags":["Pipeline (software)","Workflow","Computer science","Surface (topology)","Scalability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-16","doi":"https://doi.org/10.3390/buildings16040805","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4412194869","name":"Fostering Sustainable Manufacturing in Africa: A Sustainable Supply Chain Management Framework for a Green Future","source":"openalex","abstract":"Sustainable Supply Chain Management (SSCM) emerges as a vital catalyst for inclusive growth and sustainable development, particularly in emerging economies where the manufacturing sector is central to economic progress. This study offers an in-depth analysis of the current research landscape on SSCM in the context of developing nations, outlining key theoretical frameworks and advocating for a solid conceptual foundation alongside a structured agenda for future research initiatives. This study employs a structured literature review technique to analyze 92 published articles indexed by Scopus from 2013 to 2024, revealing a burgeoning trend in the subject of global supply chains in developing nations. The analysis identifies key keywords such as “sustainable supply chain management,” “manufacturing industries,” “inclusive growth,” and “supply chain and sustainability,” and develops a conceptual model that elucidates how SSCM practices can be effectively integrated into manufacturing sectors to facilitate equitable growth and enhance business competitiveness. This work’s novelty lies in employing a systematic literature review to develop a holistic SSCM conceptual framework constructed upon six primary drivers: business model innovation, inclusive SSCM, corporate governance and leadership, technological and innovation capabilities, policy and regulatory environment, and circular feedback. This model addresses the ambiguity surrounding SSCM and inclusive growth, providing a robust foundation for future research and performance measurement. This study contributes to the field by providing a practical and theoretically grounded framework for researchers, policymakers, and practitioners seeking to implement impactful and effective SSCM initiatives in developing nations’ manufacturing sectors to promote inclusive growth and sustainable development.","url":"https://doi.org/10.3390/admsci15070271","authors":["Ahmed Idi Kato","Ntise Hendrick Manchidi"],"tags":["Business","Supply chain","Supply chain management","Sustainability","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-11","doi":"https://doi.org/10.3390/admsci15070271","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402130511","name":"Systematic Configurator for Complexity Management in Manufacturing Systems","source":"openalex","abstract":"Complexity management in manufacturing systems is crucial for the economic growth of countries, as efficient management can significantly improve business performance and ensure competitiveness in globalized markets. This research aims to develop a complexity management configurator that identifies critical effects, proposes solution strategies, and optimizes processes through a Lean Production and Industry 4.0 approach. To this end, its systematic design integrates the key stages of management: planning, organization, management and control. The research was structured as an applied study, implementing three main panels: general information, application of a diagnostic tool at each stage of the administrative process, and results focused on measuring the complexity and implementation of advanced technological solutions. The tool enables manufacturing companies not only to diagnose sources of complexity, but also to optimize their operations by adopting Lean methodologies and Industry 4.0 technologies. The findings show how the integration of these strategies contributes to reducing both static and dynamic complexity, resulting in greater operational efficiency and improved performance in an increasingly competitive industrial environment. In conclusion, the proposed configurator is positioned as a key tool to improve the competitiveness and sustainability of manufacturing companies by offering a comprehensive approach to complexity management that is tailored to the demands of modern industry.","url":"https://doi.org/10.3390/e26090747","authors":["Germán Herrera Vidal","Jairo R. Coronado-Hernández","Breezy P. Martínez Paredes","Blas Oscar Sánchez Ramos","David Martinez-Sierra"],"tags":["Configurator","Lean manufacturing","Complexity management","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-08-31","doi":"https://doi.org/10.3390/e26090747","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7108342056","name":"An Industry 4.0 Framework for the Smart Production Management of Renewable Energy and Water Systems: An Application of AI, IoT, and Digital Twin Technologies","source":"openalex","abstract":"This study develops an integrated Industry 4.0 framework for smart production management in renewable energy systems applied to water processes. The framework combines artificial intelligence, the Internet of Things, and digital twin technologies to improve production planning, system reliability, and environmental performance. A neural network model was implemented for predictive analytics and achieved high accuracy (MAE = 0.82, R² = 0.92), enabling precise forecasting for energy generation and operational scheduling. Optimization algorithms, including genetic algorithms and particle swarm optimization, increased energy utilization efficiency from 65% to 85% and reduced operational costs by 15%. The IoT utilization enhanced real-time monitoring and reduced fault detection time from 120 minutes to 15 minutes, significantly improving maintenance response. Digital twin simulations allowed process optimization and predictive maintenance, further increasing production efficiency to 92% and system uptime to 99.5%. The approaches also led to a 20% reduction in CO₂ emissions, demonstrating both economic and environmental benefits. Overall, this framework offers a practical and data-driven solution for improving the efficiency and sustainability of renewable energy systems in water applications and contributes to the advancement of smart manufacturing in industrial engineering.","url":"https://doi.org/10.24867/ijiem-397","authors":["Otabek Mukhitdinov","Doniyor Jumanazarov","Egambergan Khudoynazarov","Lola Safarova","Saira Sakhabayeva","Ahmed Mohsin Alsayah"],"tags":["Renewable energy","Energy management","Industry 4.0","Production (economics)","Energy management system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.24867/ijiem-397","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4406033696","name":"Harnessing the AI/ML in Drug and Biological Products Discovery and Development: The Regulatory Perspective","source":"openalex","abstract":"Artificial Intelligence (AI) has the disruptive potential to transform patients' lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. However, it presents significant challenges, ethical concerns, and risks across sectors and societies. AI's rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies. The term AI itself has become commonplace to argue that greater \"human oversight\" for \"machine intelligence\" is needed to harness the power of this revolutionary technology for both potential and risk management, and hence to call for more practical regulatory guidelines, harmonized frameworks, and effective policies to ensure safety, scalability, data privacy, and governance, transparency, and equitable treatment. In this review paper, we employ a holistic multidisciplinary lens to survey the current regulatory landscape with a synopsis of the FDA workshop perspectives on the use of AI in drug and biological product development. We discuss the promises of responsible data-driven AI, challenges and related practices adopted to overcome limitations, and our practical reflections on regulatory oversight. Finally, the paper outlines a path forward and future opportunities for lawful ethical AI. This review highlights the importance of risk-based regulatory oversight, including diverging regulatory views in the field, in reaching a consensus.","url":"https://doi.org/10.3390/ph18010047","authors":["Fahimeh Mirakhori","Sarfaraz K. Niazi"],"tags":["Drug discovery","Perspective (graphical)","Drug development","Regulatory science","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-03","doi":"https://doi.org/10.3390/ph18010047","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403029717","name":"Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing","source":"openalex","abstract":"Abstract The process parameters used for building a part utilizing the powder-bed fusion (PBF) additive manufacturing (AM) system have a direct influence on the quality—and therefore performance—of the final object. These parameters are commonly chosen based on experience or, in many cases, iteratively through experimentation. Discovering the optimal set of parameters via trial and error can be time-consuming and costly, as it often requires examining numerous permutations and combinations of parameters which commonly have complex interactions. However, machine learning (ML) methods can recommend suitable processing windows using models trained on data. They achieve this by efficiently identifying the optimal parameters through analyzing and recognizing patterns in data described by a multi-dimensional parameter space. We reviewed ML-based forward and inverse models that have been proposed to unlock the process–structure–property–performance relationships in both directions and assessed them in relation to data (quality, quantity, and diversity), ML method (mismatches and neglect of history), and model evaluation. To address the common shortcomings inherent in the published works, we propose strategies that embrace best practices. We point out the need for consistency in the reporting of details relevant to ML models and advocate for the development of relevant international standards. Significantly, our recommendations can be adopted for ML applications outside of AM where an optimum combination of process parameters (or other inputs) must be found with only a limited amount of training data.","url":"https://doi.org/10.1007/s10845-024-02490-4","authors":["Najmeh Samadiani","Amanda S. Barnard","Dayalan Gunasegaram","Najmeh Fayyazifar"],"tags":["Fusion","Process (computing)","Manufacturing engineering","Production (economics)","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-01","doi":"https://doi.org/10.1007/s10845-024-02490-4","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W7134056590","name":"A systematic review and unified framework for design for additive manufacturing (DfAM)","source":"openalex","abstract":"Abstract Additive Manufacturing (Additive Manufacturing (AM), has progressed from a prototyping tool to a disruptive industrial technology, profoundly impacting sectors such as aerospace, automotive, and healthcare. This systematic review rigorously examines the current state-of-the-art in Design for Additive Manufacturing (DfAM), synthesizing its foundational principles, advanced computational strategies, and the overlooked structural discontinuity between design intent and final physical realization. Utilizing a structured search and selection process adhering to the PRISMA framework across major scientific databases, a total of 65 peer-reviewed studies published within the past decade were critically analyzed. The findings elucidate how DfAM fundamentally leverages the intrinsic design freedoms of AM, enabling the realization of intricate geometries, significant component lightweighting, and unprecedented mass customization. Concurrently, this review exposes the technical barriers that continue to impede widespread industrial scalability, notably material anisotropy, reproducibility issues, fragmented digital design workflows and precision metrology systems, such as CMM, 3D scanning and XCT. A key synthesis is provided on advances in topology optimization, lattice structure design, and the burgeoning integration of artificial intelligence and machine learning, with a specific emphasis on their practical implementation and industrial impact. Special consideration is given to sector-specific applications, particularly in biomedical engineering, where DfAM facilitates patient-tailored solutions but still confronts regulatory compliance and biocompatibility hurdles. Critically, this review maps evidence-based trends to expose the fragmented nature of the design-to-part continuum, providing a necessary, unified framework to guide subsequent research toward industrial maturity. This framework is designed to equip engineers, researchers, and practitioners for advancing DfAM practices, securing its evolution as a cornerstone of sustainable and innovative manufacturing within the industry eras.","url":"https://doi.org/10.1007/s00170-026-17632-6","authors":["Gustavo Reinke","Andréa Cristina Dos Santos"],"tags":["Computer science","Manufacturing engineering","Engineering","Systems engineering","Industrial and production engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-06","doi":"https://doi.org/10.1007/s00170-026-17632-6","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403845367","name":"Adam Mickiewicz Museum in Śmiełów – towards a contemporary museum concept using digital twin technology","source":"openalex","abstract":"Modern demands and dynamic technological development, especially in the field of artificial intelligence (AI) and machine learning methods, require science to adapt and verify the existing methods. It also includes the fields related to the history of architecture and the cultural heritage protection. The concept of the digital twin – a virtual copy of a historic object which enables a deeper understanding of its structure and the optimization of the protection/preservation and exploitation process, is gaining popularity. The aim of the paper was to analyse the potential of the digital twin in the context of historic museum building, where museum collections are often subject to separate protection principles. The current state of research on digital twins, as well as the challenges associated with creating HBIM documentation and the problems faced by contemporary museums, was presented. The results of research carried out in 2022–2024 on the palace in Śmiełów, a branch of the Adam Mickiewicz Museum were also presented. Traditional technical documentation served as the basis for research, conservation work and the plans of the further expansion of the museum, as well as the creation of a new digital exhibition path. The conclusion highlights the prospects for developing the concept of a “museum in a monument” as an innovative form of presenting cultural heritage. A contemporary museum in a monument should combine tradition with modernity, and the “digital twin” can become a bridge between the past and the present, providing visitors with unique experiences.","url":"https://doi.org/10.37190/arc240307","authors":["Barbara Świt-Jankowska"],"tags":["Art","Visual arts"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.37190/arc240307","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4288033121","name":"Skills, management practices and technology adoption in Greek manufacturing firms","source":"openalex","abstract":"The Greek economy has so far failed to shift its production structure towards more complex, high value-added activities incorporating knowledge-intensive practices. Greece lacks a systemic “activating knowledge” dimension. Given the country’s low performance in innovation and knowledge diffusion relative to EU peers, we focus on two specific problem areas of Greek industry: skills and management practices. Both areas are key requirements to achieve robust productivity growth, in which Greece has been shown to be chronically lagging behind its peers. First, we provide an in-depth look at skills indicators to identify the scope for action, particularly in addressing mismatch. A novel result is that, by utilising mismatch indicators aggregated from microdata sourced from the recent OECD Survey of Adult Skills that was conducted as part of the Programme for the International Assessment of Adult Competencies (PIAAC), we show that Greece has the highest overskilling for professional occupations. We also corroborate previous findings about the negative relationship between skills mismatch and firm productivity. Second, we use firm-level data from the World Management Survey to give a review of management practices in Greek industry and explore the quality of these practices and their association with productivity. Finally, we use information from a novel survey on entrepreneurship, technological developments and regulatory change, and examine structural characteristics of innovation activity and technology adoption by Greek firms, with a focus on the role of size, ownership structure, global value chain participation and human resource practices. Our empirical findings provide valuable input into concrete policy proposals to increase productivity in Greek manufacturing.","url":"https://doi.org/10.52903/econbull20225501","authors":["Bank of Greece","Sofia Anyfantaki","Yannis Caloghirou","Konstantinos Dellis","Aikaterini Karadimitropoulou","Filippos Petroulakis"],"tags":["Microdata (statistics)","Lagging","Productivity","Business","Marketing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-27","doi":"https://doi.org/10.52903/econbull20225501","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W2031698600","name":"Network Externality: An Uncommon Tragedy","source":"openalex","abstract":"Economists have defined ‘network externality’ and have examined putative inframarginal market failures associated with it. This paper distinguishes between network effects and network externalities, where the latter are market failures. The authors argue that while network effects are important, network externalities are theoretically fragile and empirically undocumented. Some network externalities are merely pecuniary. Network ownership or transactions among network participants can internalize some network effects. The type of market failure that has been associated with these externalities is a transition problem that has little to do with externality.","url":"https://doi.org/10.1257/jep.8.2.133","authors":["Stan J. Liebowitz","Stephen E. Margolis"],"tags":["Externality","Network effect","Economics","Microeconomics","Market failure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"1994-05-01","doi":"https://doi.org/10.1257/jep.8.2.133","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4401117950","name":"Oxidation of additive manufactured 699XA Ni-based alloy under different atmospheres","source":"openalex","abstract":"The oxidation behaviour of an additively manufactured (AM) NiCrAl alloy (VDM® Powder 699XA) was compared with the hot rolled counterpart in different atmospheres (dry air, Ar-10 %H2 and Ar-10 %H2-10 %H2O) for 48 h at 950 and 1100°C. Internal oxidation occurred through the twin boundaries and dislocations in the AM material. Such defects promoted the outward diffusion of Al and the growth of a protective Al2O3 scale at reduced PO2 (Ar-10 %H2 and Ar-10 %H2-H2O), hence restraining the internal oxidation. It is thus demonstrated that this high Cr-containing alloy is a marginal alumina former under controlled conditions like the hot rolled alloy.","url":"https://doi.org/10.1016/j.corsci.2024.112333","authors":["F. Pedraza","Antoine Duval","Ivo Šulák","Benedikt Nowak","Thomas Kepa","Germain Boissonnet","G. Bonnet"],"tags":["Alloy","Internal oxidation","Materials science","Metallurgy","Corrosion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-30","doi":"https://doi.org/10.1016/j.corsci.2024.112333","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394006201","name":"Artificial intelligence and internet of things in manufacturing decision processes","source":"openalex","abstract":"This paper explores the influence of the internet of things (IoT) and artificial intelligence (AI) on the decision-making processes of modern manufacturing systems. With the proliferation of IoT devices and the development of AI technologies, manufacturing companies increasingly leverage these technologies to improve their decision-making abilities. This study aims to investigate the potential benefits, difficulties, and ramifications of integrating IoT and AI in manufacturing systems. The review employs the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method with a systematic mapping process with four research questions. A total of 1282 articles were collected between 2017 and 2023, reviewed in accordance with the inclusion and exclusion criteria, and 66 articles were chosen. The research on IoT and AI technologies influentially affects other research in the production control layer manufacturing area based on the top-ten cited articles. In contrast, the research in this area focused on the operations management layer, specifically manufacturing analytics processes. This paper’s findings contribute to a greater understanding of the impact of IoT and AI on decision-making in modern multi-domain manufacturing systems and provide direction for future research in this field.","url":"https://doi.org/10.11591/ijai.v13.i2.pp2185-2200","authors":["Santo Wijaya","Lim Hermanto Rudy","Fransisca Debora","Rana Ardila Rahma","Arief Ramadhan","Yusita Attaqwa"],"tags":["Computer science","Internet of Things","Leverage (statistics)","Data science","Analytics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-05","doi":"https://doi.org/10.11591/ijai.v13.i2.pp2185-2200","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W2999967944","name":"An Approach to Sustainable Metrics Definition and Evaluation for Green Manufacturing in Material Removal Processes","source":"openalex","abstract":"Material removal technologies should be thoroughly analyzed not only to optimize operations but also to minimize the different waste emissions and obtain cleaner production centers. The study of environmental sustainability in manufacturing processes, which is rapidly gaining importance, requires activity modeling with material and resource inputs and outputs and, most importantly, the definition of a balanced scorecard with suitable indicators for different levels, including the operational level. This paper proposes a metrics deployment approach for the different stages of the product life cycle, including a conceptual framework of high-level indicators and the definition of machining process indicators from different perspectives. This set of metrics enables methodological measurement and analysis and integrates the results into aggregated indicators that can be considered for continuous improvement strategies. This approach was validated by five case studies of experimental testing of the sustainability indicators in material removal operations. The results helped to confirm or modify the approach and to adjust the parameter definitions to optimize the initial sustainability objectives.","url":"https://doi.org/10.3390/ma13020373","authors":["César Ayabaca","C. Vila"],"tags":["Sustainability","Balanced scorecard","Performance indicator","Software deployment","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-14","doi":"https://doi.org/10.3390/ma13020373","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4390613816","name":"Assessing the Impact of Digitalization, Tax Revenues, and Energy Resource Capacity on Environmental Quality: Fresh Evidence from CS-ARDL in the EKC Framework","source":"openalex","abstract":"This study examines the dynamic relationships between digitalization, environmental tax revenues, and energy resource capacity within the framework of the Environmental Kuznets Curve (EKC), focusing on their combined impact on environmental quality. It employs a cross-sectional augmented autoregressive distributed lag (CS-ARDL) approach, an advanced technique for complex panel data that is specifically designed to address issues of cross-sectional dependence and slope heterogeneity inherent in panel data analysis. The research covers 88 countries, including both low- and middle-income countries (LMICs) and high-income countries (HICs), to understand how digitalization, as a driving force of the Fourth Industrial Revolution, interacts with environmental taxation and energy resource management to affect greenhouse gas emissions. The results reveal distinct effects of environmental taxes and energy capacity on environmental quality, with marked differences between LMICs and HICs. In HICs, technological progress, especially in information and communication technology (ICT), is found to contribute significantly to environmental quality. For LMICs, the effects are less evident, and the findings suggest the need for tailored strategies in environmental policy and energy management. By providing empirical evidence on the differential impacts of digitalization and energy policies in different economic contexts, this research enriches the environmental economics discourse. It highlights the need for policy frameworks tailored to specific contexts that effectively balance economic growth with sustainable development goals, thereby providing insightful implications for achieving the Sustainable Development Goals (SDGs).","url":"https://doi.org/10.3390/su16020474","authors":["Adel Ben Youssef","Mounir Dahmani"],"tags":["Kuznets curve","Environmental quality","Distributed lag","Environmental economics","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-05","doi":"https://doi.org/10.3390/su16020474","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4411624691","name":"Advances in the Additive Manufacturing of Superalloys","source":"openalex","abstract":"This study presents a bibliometric analysis of the evolution and research trends in the additive manufacturing (AM) of superalloys over the last decade (2015–2025). The review follows a structured methodology based on the PRISMA 2020 protocol, utilizing data from the Scopus and Web of Science (WoS) databases. Particular attention is devoted to the intricate process–structure–property relationships and the specific behavioral trends associated with different superalloy families, namely Ni-based, Co-based, and Fe–Ni-based systems. The findings reveal a substantial growth in scientific output, with the United States and China leading contributions and an increasing trend in international collaboration. Key research areas include process optimization, microstructural evolution and control, mechanical property assessment, and defect minimization. The study highlights the pivotal role of technologies such as laser powder bed fusion, electron beam melting, and directed energy deposition in the fabrication of high-performance components. Additionally, emerging trends point to the integration of machine learning and artificial intelligence for real-time quality monitoring and manufacturing parameter optimization. Despite these advancements, challenges such as anisotropic properties, porosity issues, and process sustainability remain critical for both industrial applications and future academic research in superalloys.","url":"https://doi.org/10.3390/jmmp9070215","authors":["Antonio del Bosque","Pablo Fernández‐Arias","Diego Vergara"],"tags":["Superalloy","Metallurgy","Materials science","Microstructure"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-25","doi":"https://doi.org/10.3390/jmmp9070215","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4393869152","name":"Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces","source":"openalex","abstract":"The Human Digital Twin (HDT) is a pivotal element in smart manufacturing systems geared towards Industry 5.0. HDT represents a digital manifestation of humans, aiming to innovate the integration between humans and systems by directly linking human characteristics to system design and performance. However, recent research lacks a standardized framework and architecture for HDT that can be applied across various real-world scenarios. This study introduces an approach that integrates 3D pose estimation through mono camera input and AR Glass, digitally twinning detailed work actions and human behavior of workers in a smart manufacturing environment. By facilitating effective monitoring of the work environment by managers, this approach contributes to boosting overall productivity. The paper discusses potential strategies to elevate the development of HDT and provides guidelines on possible directions and challenges for its advancement.","url":"https://doi.org/10.1145/3632366.3632375","authors":["Myeongseop Kim","Taehyeon Kim"],"tags":["Bridging (networking)","Workspace","Computer science","Human–computer interaction","Virtual actor"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-04","doi":"https://doi.org/10.1145/3632366.3632375","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4390494339","name":"A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions","source":"openalex","abstract":"Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely interventions. Deep learning, with its capacity to discern non-trivial patterns within large datasets, plays a pivotal role in this process. Standard deep learning methods are suitable to solve a specific task given a specific type of data. During training, deep learning demands large volumes of labeled data. However, due to the dynamic nature of the industrial processes and environment, it is impractical to acquire large-scale labeled data for standard deep learning training for every slightly different case anew. Deep transfer learning offers a solution to this problem. By leveraging knowledge from related tasks and accounting for variations in data distributions, the transfer learning framework solves new tasks with little or even no additional labeled data. The approach bypasses the need to retrain a model from scratch for every new setup and dramatically reduces the labeled data requirement. This survey first provides an in-depth review of deep transfer learning, examining the problem settings of transfer learning and classifying the prevailing deep transfer learning methods. Moreover, we delve into applications of deep transfer learning in the context of a broad spectrum of time series anomaly detection tasks prevalent in primary industrial domains, e.g., manufacturing process monitoring, predictive maintenance, energy management, and infrastructure facility monitoring. We discuss the challenges and limitations of deep transfer learning in industrial contexts and conclude the survey with practical directions and actionable suggestions to address the need to leverage diverse time series data for anomaly detection in an increasingly dynamic production environment.","url":"https://doi.org/10.1109/access.2023.3349132","authors":["Peng Yan","Ahmed Abdulkadir","Paul-Philipp Luley","Matthias Rosenthal","Gerrit A. Schatte","Benjamin F. Grewe","Thilo Stadelmann"],"tags":["Transfer of learning","Deep learning","Computer science","Anomaly detection","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1109/access.2023.3349132","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4404918857","name":"Circular Economy Strategies for Resource Efficiency and Sustainable Development in Manufacturing Industries","source":"openalex","abstract":"The shift to a CE in manufacturing industries has been deemed as a frontrunner among strategies to deal with resource efficiency and sustainable development concerns. The switch to a superior model of circular economy transits from the erstwhile linear models of ‘take-make-dispose’. Strategies in manufacturing in circular economy embrace principles of sustainable product design, redesign of finished products, and recycling in industrial systems to recover products making raw materials closed loop. IT tools such as digital twin, IoT, and AI enable further sophistication of the techniques the manufacturers can use to track resource flows and improve processes as well as product life cycles. Policy maker-led, industry and community-supported partnership effort in carrying CE message through the enabling policies, green supply chain management and consumer awareness. The prospect of CE goes far beyond environmental protection as it helps to build economic stability, create new working places, and gain competitive advantages in the global economy. Nevertheless, some key barriers remain; poor standardization, technological limitations and cultural issues. It is only possible to fix these problems via innovations for these issues, the multi-stakeholder cooperation, and the sound policies for creating a sustainable industrial revolution.","url":"https://doi.org/10.70135/seejph.vi.2576","authors":["Dr. YENDA SRINIVASA RAO","Dr Rishi JP","S. Thomas","Dr Amit Kumar Agrawal","Dr .Uvaneswaran S .M","Vandita Hajra"],"tags":["Circular economy","Resource efficiency","Industrial organization","Business","Sustainable development"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-02","doi":"https://doi.org/10.70135/seejph.vi.2576","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4400592656","name":"Mapping and prospective of additive manufacturing in the context of Industry 4.0 and 5.0","source":"openalex","abstract":"Purpose This study aims to investigate the scientific impact of additive manufacturing in recent years, considering its evolution as an Industry 4.0 technology and also in the current context of Industry 5.0. For this aim, advanced statistics and scientometric tools have been used. Design/methodology/approach This study aims to explore the trends and impacts of additive manufacturing, focusing on its evolution and its relationship with Industry 4.0 and 5.0. For this purpose, a scientometric study and a meta-analysis of data extracted from the scientific Scopus database have been carried out. R programming and specific bibliometric software have been used to conduct the research. Initially, the data were evaluated from various perspectives, including sources, topics and impact indexes, to assess trends derived from the volume of publications, the impact of sources and affiliations, as well as the production segmented by country and the relationships between authors from different countries. Subsequently, a meta-analysis on keywords has been carried out using two distinct clustering methodologies: link strength and fractionalization. The results obtained were compared to establish a specific taxonomy of the AM subtopics, considering AM as a single body of knowledge related to Industries 4.0 and 5.0 paradigms. The analyses carried out have shown the impact and strong evolution of additive manufacturing as a field of knowledge at the world level, both from the point of view of manufacturing processes and from the point of view of materials science. In addition, some differences have been detected depending on the country. As a result of the meta-analysis, four different subtopics have been detected, some of which are highly related to other technologies and approaches in Industries 4.0 and 5.0 paradigms. Additionally, it establishes a comprehensive taxonomy for AM research, serving as a foundational reference for future studies aimed at exploring the evolution and transformative impact of this technology. Findings The analyses carried out have shown the impact and strong evolution of additive manufacturing as a field of knowledge at the world level, both from the point of view of manufacturing processes and from the point of view of materials science. In addition, some differences have been detected depending on the country. As a result of the meta-analysis, four different subtopics have been detected: one of them directly related to the use of recently developed Industry 4.0 technologies in additive manufacturing. The results provide a starting point for prospective studies to understand the evolution and disruption of this technology. Originality/value The paper is original and is based on data systematically extracted from scientific databases. Then, a specific methodology based on different advanced tools was applied for scientometric evaluation and meta-analysis.","url":"https://doi.org/10.1108/rpj-11-2023-0410","authors":["Manuel Rodríguez‐Martín","Rosario Domingo","João Ribeiro"],"tags":["Context (archaeology)","3D printing","Manufacturing engineering","Engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-12","doi":"https://doi.org/10.1108/rpj-11-2023-0410","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4402721536","name":"Additively manufactured 17–4 PH stainless steels for fracture management devices","source":"openalex","abstract":"Stainless steel 316L (SS316L) is widely used in fracture management devices. However, SS316L does not offer any bacterial infection resistance and can cause metal-ion sensitivity due to Ni-ions’ presence. 17-4PH can emerge as a promising substitute due to the intrinsic antibacterial properties of copper, a 75% reduction in nickel content, and superior mechanical properties. SS316L and 17–4 PH were manufactured using laser-directed energy deposition (LDED). 17-4PH specimens surpassed the compressive strength of SS316L by over 150%. A static magnetic field was generated in 17–4 PH specimens to understand in vitro bone cell–material interactions. In vitro human fetal osteoblast cell culture and bacterial inhibition study using Staphylococcus aureus and Pseudomonas aeruginosa were carried out on these specimens with SS316L as control and as-processed and magnetised 17–4 PH as treatments. Results demonstrated that magnetised 17–4 PH exhibited 25% enhancement in hFOB proliferation and 70% reduction in bacterial colonisation compared to SS316L.","url":"https://doi.org/10.1080/17452759.2024.2397698","authors":["Aruntapan Dash","Susmita Bose","Amit Bandyopadhyay"],"tags":["Fracture (geology)","Materials science","Metallurgy","Forensic engineering","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-21","doi":"https://doi.org/10.1080/17452759.2024.2397698","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4200051351","name":"A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials","source":"openalex","abstract":"The growing demand and diversity in the application of industrial composites and the current inability of present non-destructive evaluation (NDE) methods to perform detailed inspection of these composites has motivated this comprehensive review of sensing technologies. NDE has the potential to be a versatile tool for maintaining composite structures deployed in hazardous and inaccessible areas, such as offshore wind farms and nuclear power plants. Therefore, the future composite solutions need to take into consideration the niche requirements of these high-value/critical applications. Composite materials are intrinsically complex due to their anisotropic and non-homogeneous characteristics. This presents a significant challenge for evaluation and the associated data analysis for NDEs. For example, the quality assurance, certification of composite structures, and early detection of the failure is complex due to the variability and tolerances involved in the composite manufacturing. Adapting existing NDE methods to detect and locate the defects at multiple length scales in the complex materials represents a significant challenge, resulting in a delayed and incorrect diagnosis of the structural health. This paper presents a comprehensive review of the NDE techniques, that includes a detailed discussion of their working principles, setup, advantages, limitations, and usage level for the structural composites. A comparison between these techniques is also presented, providing an insight into the future trends for composites’ prognostic and health management (PHM). Current research trends show the emergence of the non-contact-type NDE (including digital image correlation, infrared tomography, as well as disruptive frequency-modulated continuous wave techniques) for structural composites, and the reasons for their choice over the most popular contact-type (ultrasonic, acoustic, and piezoelectric testing) NDE methods is also discussed. The analysis of this new sensing modality for composites’ is presented within the context of the state-of-the-art and projected future requirements.","url":"https://doi.org/10.3390/jcs5120319","authors":["Ranjeetkumar Gupta","Daniel Mitchell","Jamie Blanche","Sam Harper","Wenshuo Tang","Ketan Pancholi","Lee Baines","David G. Bucknall","David Flynn"],"tags":["Certification","Nondestructive testing","Aerospace","Structural health monitoring","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-12-06","doi":"https://doi.org/10.3390/jcs5120319","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4378575062","name":"Surface roughness of as-printed polymers: a comprehensive review","source":"openalex","abstract":"Abstract Surface roughness is gaining increasing recognition in the processing design methods of additive manufacturing (AM) due to its role in many critical applications. This impact extends not only to various AM product manufacturing but also to indirect applications, such as molding and casting. This review article discusses the role of processing on the surface roughness of AM-printed polymers with limited post-processing by summarizing recent advances. This review offers a benchmark for surface quality improvement of AM processes, considering the surface roughness of polymeric parts. For this purpose, it lists and analyzes the key processes and various printing parameters used to monitor and adjust surface roughness under given constraints. Four AM techniques for manufacturing polymeric parts are compared: fused filament fabrication (FFF), selective laser sintering (SLS), vat photopolymerization (VPP), and material jetting (MJT). A review and discussion of recent studies are presented, along with the most critical process parameters that affect surface roughness for the selected AM techniques. To assist in selecting the most appropriate method of 3D printing, comparable research summaries are presented. The outcome is a detailed survey of current techniques, process parameters, roughness ranges, and their applicability in achieving surface quality improvement in as-printed polymers.","url":"https://doi.org/10.1007/s00170-023-11566-z","authors":["Ali Payami Golhin","Riccardo Tonello","Jeppe Revall Frisvad","Sotirios Grammatikos","A. Strandlie"],"tags":["Surface roughness","Molding (decorative)","Surface finish","Materials science","Selective laser sintering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-27","doi":"https://doi.org/10.1007/s00170-023-11566-z","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4403513638","name":"Integrated-decision support system (DSS) for risk identification and mitigation in manufacturing industry for zero-defect manufacturing (ZDM): a state-of-the-art review","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s00170-024-14601-9","authors":["Muhammad Awais Akbar","Afshan Naseem","Uzair Khaleeq uz Zaman","Jelena Petronijević"],"tags":["Identification (biology)","Decision support system","Risk analysis (engineering)","Product (mathematics)","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-18","doi":"https://doi.org/10.1007/s00170-024-14601-9","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4390789403","name":"The effect of surface finish and post-processing on mechanical properties of 17-4 PH stainless steel produced by the atomic diffusion additive manufacturing process (ADAM)","source":"openalex","abstract":"Abstract This study investigates the influence of surface finish and post-processing conditions on the mechanical properties of 17-4 PH stainless steel (SS) produced using the atomic diffusion additive manufacturing process (ADAM). Diverse sample orientations, including horizontal (0°), 30°, 60°, and vertical (90°), were examined, with selected samples undergoing post-processing through machining, polishing, and heat treatment. Tensile strength testing, surface roughness measurement, and hardness measurement were conducted to assess the effect of surface finish conditions and post-processing on mechanical properties. The results reveal significant variations in the tensile strength of the samples based on the build orientation (183.5 to 1034.5 MPa), and subsequent machining. Notably, post-built machining is found to enhance both the absolute ultimate tensile strength (UTS) and the isotropy of the material. Further improvements are attainable through heat treatment. A microstructure analysis, in conjunction with tensile testing outcomes, demonstrates the potential for refining the properties of ADAM-printed samples through suitable machining, heat treatment, and geometry modifications. This study identifies avenues for ongoing process development and outlines possibilities for enhancing mechanical properties of additive manufactured parts, particularly through ADAM process.","url":"https://doi.org/10.1007/s00170-024-12949-6","authors":["Tahsin Tecelli Öpöz","Andrew N. Burgess","Juan Ignacio Ahuir‐Torres","Hiren R. Kotadia","Samuel Tammas‐Williams"],"tags":["Machining","Ultimate tensile strength","Materials science","Surface roughness","Polishing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-12","doi":"https://doi.org/10.1007/s00170-024-12949-6","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4389722273","name":"Review of in situ process monitoring for metal hybrid directed energy deposition","source":"openalex","abstract":"Hybrid manufacturing, or the combination of additive and subtractive manufacturing within a single build volume is transforming the way products are being fabricated. Additive manufacturing confers unprecedented freedom of design and reduced material usage while enabling serial customization. Subtractive manufacturing provides superior surface finish and improved dimensional accuracies. Interwoven, these two digital manufacturing paradigms are enabling the rapid manufacturing of complex, highly accurate, and customized geometries in a diversity of high-performance alloys. In situ monitoring, heavily relied upon in either additive or subtractive, becomes even more crucial with the interplay of the two processes in a single combined build sequence. Moreover, challenges that do not exist in either process alone can now have a dramatic impact on final part quality: (1) a large amount of heat is generated during additive manufacturing deposition, which is primarily dissipated into the machine tooling and impacts accuracy by deforming the material and causing misaligned machining; (2) microstructure, mechanical properties, and residual stresses are the result of the complex thermal histories generated by additive manufacturing and can impact subsequent cutting performance. This comprehensive review considers previous research in monitoring and providing closed-loop control in both additive and subtractive manufacturing separately and then considers the implications of the effectiveness of these monitoring techniques when additive and subtractive processes are integrated together.","url":"https://doi.org/10.1016/j.jmapro.2023.12.004","authors":["James Haley","Jaydeep Karandikar","Callan Herberger","Eric MacDonald","Thomas Feldhausen","Yousub Lee"],"tags":["Subtractive color","Machining","Materials science","Process (computing)","Process engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-14","doi":"https://doi.org/10.1016/j.jmapro.2023.12.004","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4409310425","name":"A risk analysis method for implementation of additive manufacturing","source":"openalex","abstract":"The evolution of additive manufacturing (AM) over the past few decades has significantly shifted its application from prototyping to the production of final products. Despite this progress, the industrial uptake of AM remains limited due to the complex integration challenges within existing manufacturing value chains. This paper addresses the gap by presenting a prescriptive approach for assessing risks associated with incorporating AM into established workflows. Utilising two case studies from the ‘Demonstration of Infrastructure for Digitalization enabling industrialisation of AM (DiDAM)’ project, which involves several Swedish manufacturing companies, this study develops a methodology for risk assessment. The proposed method involves mapping workflows into multi-domain matrices, establishing dependencies with uncertainty values, and performing risk analysis to determine potential impacts. Results indicate that this quantitative risk assessment approach provides valuable insights into hidden issues that could affect the implementation of AM. By offering a decision-support tool for managers, this methodology enhances the likelihood of successful integration of AM and supports digitalisation efforts in traditional manufacturing settings. The practical applications of this approach are demonstrated through a detailed analysis of the two industrial cases.","url":"https://doi.org/10.1080/09544828.2025.2489641","authors":["Arindam Brahma","Tina Hajali","Adam Mallalieu","Ola Isaksson"],"tags":["Manufacturing engineering","Computer science","Risk analysis (engineering)","Engineering","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-04-09","doi":"https://doi.org/10.1080/09544828.2025.2489641","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4399423169","name":"Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools","source":"openalex","abstract":"Machine tools (MT) are critical to modern manufacturing. They allow precision manufacturing of complex components at high volumes. MTs are large capital investments that require maintenance and monitoring to ensure they remain in good working condition. To best achieve reliability and high performance it is necessary to implement condition monitoring, fault detection and predictive maintenance. One solution for implementing these is by utilizing data-driven methods such as neural networks. One issue with any data-driven method is that they require large quantities of labeled data. This is especially difficult for fault detection applications as faults tend to be rare, and as a result, the datasets tend to be very imbalanced. One emerging technology that can be implemented to solve this issue is the digital twin (DT). DTs provide a solution for data collection, modeling, simulation, and smart services. One way that DTs can be used is to generate synthetic data which can be used for various data-driven methods. This data can be validated on a test bench to ensure its accuracy before implementation in production. Synthetic data generated from the DT model can be used to create a dataset for various condition monitoring DT services. This study involved the use of simulation software to generate synthetic data which was used to implement a fault detection algorithm for preload loss monitoring. This method has been demonstrated to be effective at identifying the current operating conditions of the system. This method shows promise to improve reliability and performance in MTs, and could be adapted to condition monitoring in other systems such as vehicles, buildings, and power generation.","url":"https://doi.org/10.1117/12.3013119","authors":["Brett Sicard","Quade Butler","Yuandi Wu","Sepehr M. Abdolahi","Youssef Ziada","S. Andrew Gadsden"],"tags":["Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-07","doi":"https://doi.org/10.1117/12.3013119","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4389166055","name":"Optimization of zero defect manufacturing strategies: A comparative study on simplified modeling approaches for enhanced efficiency and accuracy","source":"openalex","abstract":"This paper presents a comparative analysis of three distinct Zero Defect Manufacturing (ZDM) strategies: Detection - Repair (DR), Detection - Prevention (DP), and Prediction - Prevention (PP). We evaluated these strategies based on their effectiveness in optimizing ZDM parameters, considering the specific needs and constraints of various manufacturing setups. Our analysis found that while DR and DP simulation models closely reflected original results, PP models demonstrated lower predictability, underscoring the need for further research and specialized modeling approaches. Nonetheless, the selection of an optimal strategy was determined to be context-dependent, hinging on the characteristics of the manufacturing system. The study also highlights the necessity of validating these strategies across diverse manufacturing setups to assess their performance and suitability. This research augments the existing body of knowledge on ZDM, offering insights to drive future investigations for the development of robust, accurate, and efficient ZDM modeling techniques. The ultimate objective is to move modern manufacturing industries towards a zero-defect environment, thereby enhancing their efficiency, reliability, and overall productivity.","url":"https://doi.org/10.1016/j.cie.2023.109783","authors":["Foivos Psarommatis","Gökan May"],"tags":["Predictability","Context (archaeology)","Reliability (semiconductor)","Computer science","Productivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-30","doi":"https://doi.org/10.1016/j.cie.2023.109783","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4394876983","name":"Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0","source":"openalex","abstract":"The importance of highly monitored and analyzed processes, linked by information systems such as knowledge graphs, is growing. In addition, the integration of operators has become urgent due to their high costs and from a social point of view. An appropriate framework for implementing the Industry 5.0 approach requires effective data exchange in a highly complex manufacturing network to utilize resources and information. Furthermore, the continuous development of collaboration between human and machine actors is fundamental for industrial cyber-physical systems, as the workforce is one of the most agile and flexible manufacturing resources. This paper introduces the human-centric knowledge graph framework by adapting ontologies and standards to model the operator-related factors such as monitoring movements, working conditions, or collaborating with robots. It also presents graph-based data querying, visualization, and analysis through an industrial case study. The main contribution of this work is a knowledge graph-based framework that focuses on the work performed by the operator, including the evaluation of movements, collaboration with machines, ergonomics, and other conditions. In addition, the use of the framework is demonstrated in a complex use case based on an assembly line, with examples of resource allocation and comprehensive support in terms of the collaboration aspect between shop-floor workers.","url":"https://doi.org/10.3390/app14083398","authors":["László Nagy","János Abonyi","Tamás Ruppert"],"tags":["Computer science","Agile software development","Knowledge management","Graph","Industry 4.0"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-17","doi":"https://doi.org/10.3390/app14083398","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.859Z"},{"id":"oa:W4407139393","name":"An Overview on the Role of Government Initiatives in Nanotechnology Innovation for Sustainable Economic Development and Research Progress","source":"openalex","abstract":"Nanoparticle technology has emerged as a fundamental component across various industries, including electronics, renewable energy, textiles, and medical biotechnology, particularly for targeted drug delivery applications. Commercialization has profoundly impacted economic growth, especially in the pharmaceutical and electronics industries. Moreover, it has improved workforce education and training, generating millions of employment prospects associated with nanotechnology development. By 2024, the Organisation for Economic Co-operation and Development anticipates that the global market for nanotechnology products will attain a value of United States Dollar (USD) 1 trillion to USD 3 trillion, resulting in the creation of over 2 million new employments globally. The swift progression of nanoparticle technology from 2000 to 2024 is primarily propelled by substantial industrial investment in research and development, alongside collaborations with academic institutions. The National Nanotechnology Initiative in the United States (US) has significantly contributed to these developments, with federal funding exceeding USD 30 billion by 2024 since its establishment in 2001. This funding has catalyzed significant advancements in both commercial and research applications of nanotechnology. Patent data highlights this expansion, with China establishing itself as the preeminent nation in nanotechnology patents. From 2000 to 2024, China steadily raised its proportion of nanotechnology patents, accounting for almost 40% of the global total by 2024. The US, Japan, Germany, and the Republic of Korea continued to be significant contributors, together advancing the frontiers of innovation in nanotechnology. In this timeframe, the quantity of nanotechnology-related patents increased by more than 150%, demonstrating the swift growth of the sector. The regulation of nanotechnology in the US is primarily managed by the Food and Drug Administration, particularly about healthcare and biotechnology applications. As the scope of nanotechnology uses has expanded, there is an increasing demand for more extensive regulations concerning potential long-term environmental and health effects. The future trajectory of nanotechnology, both in the US and worldwide, will hinge on continuous invention, economic advancement, and the progression of governmental policy. By upholding a robust regulatory framework and promoting ongoing collaboration between academics and industry, the complete potential of nanotechnology in advancing industrial and societal progress can be actualized.","url":"https://doi.org/10.3390/su17031250","authors":["Umme Thayyiba Khatoon","Aditya Velidandi"],"tags":["Sustainable development","Government (linguistics)","Societal impact of nanotechnology","Political science","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-02-04","doi":"https://doi.org/10.3390/su17031250","addedAt":"2026-09-01T01:47:45.859Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4410004311","name":"Digital innovation, human capital allocation, and labour share: Empirical evidence from listed companies in China","source":"openalex","abstract":"Digital technology is increasingly blurring the lines between humans and machines, significantly influencing the distribution of income among workers. The question of how businesses can capitalise on the benefits of digital advancement by optimising internal human capital allocation during the digital innovation process has become a critical concern. This study utilises the Sentence-BERT(SBERT) model to identify digital innovation and examines its effects on the labour share within firms, alongside the underlying mechanisms from the viewpoint of human capital allocation. The research findings are as follows: First, digital innovation has a positive and significant impact on the labour share, a conclusion that remains robust after conducting various sensitivity tests and addressing endogeneity issues. Second, the mechanism analysis reveals that changes in human capital allocation serve as a crucial mediating factor between digital innovation and labour share. Further exploration indicates that skills training, as an element of human capital allocation, demonstrates varying levels of influence across various company sizes and industry characteristics. Third, the positive impact of digital innovation on labour share is more pronounced in regions with supportive business environments, high-tech sectors and firms with superior corporate governance . Lastly, for ordinary employees, digital innovation enhances their labour share. Conversely, for management, while digital innovation reduces their labour share, it increases their equity incentive, suggesting that digital innovation aids in bridging the digital divide within firms and fosters a more equitable distribution of benefits. This study not only enriches the theoretical understanding of the effects of digital innovation on labour income but also encourages the practical application of digital innovation in reducing the wealth gap and achieving shared prosperity.","url":"https://doi.org/10.1016/j.jik.2025.100705","authors":["Hongcheng Ling","Xuebin Ding","Changqi Tao"],"tags":["China","Human capital","Business","Empirical evidence","Labour economics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-05-01","doi":"https://doi.org/10.1016/j.jik.2025.100705","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4288035404","name":"Prospects for Russia Under the Digital Domination of China and the United States","source":"openalex","abstract":"The article discusses the opportunities and risks for Russia in a situation where China and the United States are claiming world leadership in the development of digital technologies. It is shown that the specifics of competition in the markets of digital goods encourage countries that claim to dominate in these markets to accelerate actions that require large resources. The scale of investments by Russia, China and the United States in artificial intelligence (AI) technology is compared. The difficulties of ensuring the digital sovereignty of our country in the formation of two digital ecosystems in the global economy, led by China and the United States, are discussed. Promising areas of competence of Russia are identified, which retain the possibility of leadership for it with limited resources.","url":"https://doi.org/10.1134/s1075700722040037","authors":["V. E. Dementiev"],"tags":["China","Sovereignty","Business","Competence (human resources)","Competition (biology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-07-26","doi":"https://doi.org/10.1134/s1075700722040037","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4405642324","name":"Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries","source":"openalex","abstract":"The integration of Artificial Intelligence (AI) and smart technologies into safety management is a pivotal aspect of the Fourth Industrial Revolution or Industry 4.0. This study conducts a systematic literature review to identify and analyze how AI and smart technologies enhance safety management across various sectors within the Safety 4.0 paradigm. Focusing on peer-reviewed journal articles that explicitly mention “Smart”, “AI”, or “Artificial Intelligence” in their titles, the research examines key safety management factors, such as accident prevention, risk management, real-time monitoring, and ethical implementation, across sectors, including construction, industrial safety, disaster and public safety, transport and logistics, energy and power, health, smart home and living, and other diverse industries. AI-driven solutions, such as predictive analytics, machine learning algorithms, IoT sensor integration, and digital twin models, are shown to proactively identify and mitigate potential hazards, optimize energy consumption, and enhance operational efficiency. For instance, in the energy and power sector, intelligent gas meters and automated fire suppression systems manage gas-related risks effectively, while in the health sector, AI-powered health monitoring devices and mental health support applications improve patient and worker safety. The analysis reveals a significant trend towards shifting from reactive to proactive safety management, facilitated by the convergence of AI with IoT and Big Data analytics. Additionally, ethical considerations and data privacy emerge as critical challenges in the adoption of AI technologies. The study highlights the transformative role of AI in enhancing safety protocols, reducing accident rates, and improving overall safety outcomes across industries. It underscores the need for standardized protocols, robust AI governance frameworks, and interdisciplinary research to address existing challenges and maximize the benefits of AI in safety management. Future research directions include developing explainable AI models, enhancing human–AI collaboration, and fostering global standardization to ensure the responsible and effective implementation of AI-driven safety solutions.","url":"https://doi.org/10.3390/app142411934","authors":["Jiyoung Park","Dongheon Kang"],"tags":["Business","Industry 4.0","Engineering","Computer science","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-20","doi":"https://doi.org/10.3390/app142411934","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4394602100","name":"Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR","source":"openalex","abstract":"With the rise of the concept of sharing economy, the shared manufacturing model has gained widespread attention. The VIKOR shared manufacturing service evaluation approach is presented based on an intuitionistic fuzzy environment, which enables users to filter out acceptable shared manufacturing services from a wide pool of shared manufacturing services with similar functional qualities. Firstly, considering the QOS multi-indicator comprehensive evaluation of services by multiple stakeholders under the fundamental characteristics of shared manufacturing, the QOS evaluation index system is built from the two aspects of online and offline, which includes 2 first-level indicators and 10 second-level indicators. The paper also constructs a service recommendation model considering supply and demand constraints. Secondly, the intuitionistic fuzzy numbers are introduced to define the non-quantitative indexes, and the G1-method and variable-precision rough set theory are used for the assignment, and the maximum entropy theory is utilized to integrate the assignment method to obtain the combination weights. Thirdly, the VIKOR method based on intuitionistic fuzzy sets is used to evaluate and rank the shared manufacturing candidate services, in which the combined benefits and minimum regret values of the groups are solved based on the intuitionistic fuzzy number similarity. Finally, the reliability and feasibility of the algorithm are verified with a real case.","url":"https://doi.org/10.1016/j.heliyon.2024.e29250","authors":["Jiating Liang","Peng Liu"],"tags":["VIKOR method","Service (business)","Fuzzy logic","Computer science","Manufacturing engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-01","doi":"https://doi.org/10.1016/j.heliyon.2024.e29250","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4403249146","name":"Link between Digital Technologies Adoption and Sustainability Performance: Supply Chain Traceability/Resilience or Circular Economy Practices","source":"openalex","abstract":"Technological progress and digitalization have ushered in significant transformations in business strategies. At present, research is scarcely focused on the influence of the adoption of digital technologies (DTs) on establishing comprehensive relationships within the context of a circular economy (CE), and the supply chain (SC) framework to contribute to the Resource-Based View (RBV) theory. This study utilizes survey data collected from 235 manufacturing practitioners employed by Turkish manufacturing enterprises to explore a model elucidating the relationship between DTs adoption and sustainability performance (SP) through supply chain traceability (SCT), supply chain resilience (SCR), and circular economy practices (CEPs), based on 10R strategies. Through this linkage, this research accentuates that the exclusive integration of CEPs with digital technology solutions is insufficient for industrial enterprises to attain their long-term sustainability goals. It underscores the necessity of ensuring SCT and/or SCR in this context.","url":"https://doi.org/10.3390/su16198694","authors":["Aylin Duman Altan","Ömer Faruk Beyca","Selim Zaim"],"tags":["Traceability","Circular economy","Resilience (materials science)","Sustainability","Supply chain"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-10-09","doi":"https://doi.org/10.3390/su16198694","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4405817403","name":"The Mediating Role of Psychological Empowerment on the Relationship Between Digital Transformation, Innovative Work Behavior, and Organizational Financial Performance","source":"openalex","abstract":"With the use of digital technologies in today's innovation era, the financial sector has transformed how they facilitate customer business and generate a high level of revenue. This study aims to explore the relationship between innovative work behavior (IWB), digital transformation (DT), and organizational financial performance (OFP) to analyze the mediating role of workers' psychological empowerment (PE) between independent and dependent variables. Further, we examined the moderating role of smart technologies (ST) between PE and OFP. This study collected data from Saudi banking sector employees using a well-structured questionnaire adopted from previous literature. Next, Smart-PLS was used to analyze the data using the structural equation modeling-partial least squares (SEM-PLS) approach. The results reveal that IW positively relates to OFP, with PE mediating this relationship. Furthermore, DT positively affects OFP. ST acts as a positive moderator that enhances workers' PE and OFP. Meanwhile, PE, as a mediator, positively relates DT and IWB to OFP. Overall, this study makes valuable theoretical, empirical, and practical contributions, which can benefit bank management, policymakers, and future academic research.","url":"https://doi.org/10.3390/bs15010005","authors":["Saqib Muneer","Ajay Sıngh","Mazhar Hussain Choudhary","Awwad Saad Alshammari"],"tags":["Work (physics)","Psychology","Empowerment","Work behavior","Digital transformation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-26","doi":"https://doi.org/10.3390/bs15010005","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4415240062","name":"Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems","source":"openalex","abstract":"Since the introduction of Industry 4.0, digital twin technology has significantly evolved, laying the groundwork for a transition toward Industry 5.0 principles centered on human-centricity, sustainability, and resilience. Through digital twins, real-time connected production systems are anticipated to be more efficient, resilient, and sustainable, facilitating communication and connectivity between digital and physical systems. However, environmental performance and integration with virtual reality (VR) and artificial intelligence (AI) of such systems remain challenging. Further exploration of digital twin technologies is needed to validate the real-world impact and benefits. This paper investigates these challenges by implementing a real-time digital twin based on the ISO 23247 standard, connecting the physical factory and simulation software with VR capabilities. This digital twin system provides cognitive assistance and a user-friendly interface for operators, thereby improving cognitive ergonomics. The connection of the Internet of Things (IoT) platform allows the digital twin to have real-time bidirectional communication, collaboration, monitoring, and assistance. A lab-scale drone factory was used as the digital twin application to test and evaluate the ISO 23247 standard and its potential benefits. Additionally, AI integration and environmental performance Key Performance Indicators (KPIs) have been considered as the next stages in improving VR-integrated digital twins. With a solid theoretical foundation and a demonstration of the VR-integrated digital twins, this paper addresses integration issues between various technologies and advances the framework of digital twins based on ISO 23247.","url":"https://doi.org/10.48550/arxiv.2508.14580","authors":["Huizhong Cao","Henrik Söderlund","Qi Fang","Siyuan Chen","Lejla Erdal","Ammar Gubartalla","Paulo Victor Lopes","Guodong Shao","Per Lonnehed","Henri Putto","Ahmed, Abbe","Sven Ekered","Björn Johansson"],"tags":["Industry 4.0","Factory (object-oriented programming)","Key (lock)","Engineering","Interface (matter)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-20","doi":"https://doi.org/10.48550/arxiv.2508.14580","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W4391952422","name":"Projects as a speciation and aggregation mechanism in transitions: Bridging project management and transitions research in the digitalization of UK architecture, engineering, and construction industry.","source":"openalex","abstract":"Sociotechnical transitions are mostly seen in the literature as processes where actors and technologies in small niches peripheral to an organizational field, accumulate momentum, scale up, aggregate, and eventually bring about large-scale regime change. Foundational examples include the British transition from sailing ships to steamships and the American transition from traditional factories to mass production. Herein lies a paradox, transitions concern large scale system change for example transition to electric cars or renewable energy, but large-scale options for technological change driven by incumbents have received less attention in transitions research. This is an important opportunity for transition research to draw on the literature of project management research on large-scale projects. We bridge transitions research and project management research by exploring speciation and aggregation from both perspectives. We illustrate how this bridge may be instantiated drawing on published research and interviews on six megaprojects that have been instrumental in the digital transformation of UK construction: (i) the Channel Tunnel Rail Link, (ii) Heathrow Terminal 5, (iii) London Olympics, (iv) Crossrail, (v) Thames Tideway and (vi) High Speed Two. The speciation of digital technology seeds the process of aggregation and UK industry transition which is driven by incumbents at the organizational field core and ripples outward to its periphery. This is a reverse process to the one mostly considered in transition research where change initiates in small niches peripheral to an organizational field and propagates until it eventually brings about large-scale change to its core.","url":"https://doi.org/10.1016/j.technovation.2024.102967","authors":["George Papachristos","Eleni Papadonikolaki","Bethan Morgan"],"tags":["Bridging (networking)","Architecture","Mechanism (biology)","Business","Engineering management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-20","doi":"https://doi.org/10.1016/j.technovation.2024.102967","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1117/12.3033334","name":"Remote fault monitoring platform for rolling bearings based on digital twin","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3033334","authors":["Yanfeng Xia","Kaiyuan Luo","Weijie Gao","Guoan Yang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T16:38:53Z","doi":"10.1117/12.3033334","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1201/9781032642215","name":"Digital Transformation in Your Manufacturing Business","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781032642215","authors":["Will Kinghorn"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-25T21:07:53Z","doi":"10.1201/9781032642215","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/sielmen67352.2025.11260736","name":"Digital Twin Integration with Lean Six Sigma Methodologies in Smart Manufacturing Ecosystems: A Conceptual Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sielmen67352.2025.11260736","authors":["Nicoleta-Mihaela Dascalu","Marius Pislaru","Elena-Lidia Alexa","Geanina Giosan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-12-03T18:38:35Z","doi":"10.1109/sielmen67352.2025.11260736","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-70031-6_51","name":"Towards a Digital Twin to Enable First Time Right DED-Arc Components","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-70031-6_51","authors":["Julian Unglaub","Marc Müggenburg","Hendrik Jahns","Harald Kloft","Jonas Hensel","Klaus Thiele"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-31T16:03:02Z","doi":"10.1007/978-3-031-70031-6_51","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icrera62673.2024.10815471","name":"Prediction from 3D Pictogram Drawing Using AR Technology for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrera62673.2024.10815471","authors":["Kaoru Mitsuhashi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-31T19:24:28Z","doi":"10.1109/icrera62673.2024.10815471","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/wf-iot62078.2024.10811191","name":"A Digital Twin Powered Aerial Link Orchestration using SDRs","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wf-iot62078.2024.10811191","authors":["Büşra Bayram","Gökhan Seçinti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-30T19:20:28Z","doi":"10.1109/wf-iot62078.2024.10811191","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21872/2024iise_7889","name":"Redefining Value Creation: Assessing the Economic Impact of Digital Twin Technology Across Industries","source":"crossref","abstract":"This paper presents a comprehensive analysis of the economic impact of digital twin technology, an innovative digital modeling process that has become increasingly pivotal in various industries. As businesses strive for enhanced efficiency and innovation, understanding the financial implications of integrating digital twin technology is essential. This study delves into a detailed cost-benefit analysis, examining the return on investment (ROI) experienced by different sectors, including manufacturing, healthcare, and automotive. By analyzing case studies and industry reports, the paper highlights how digital twin technology contributes to operational efficiencies, reduces downtime, and enhances product development. Furthermore, it explores the technology's role in facilitating predictive maintenance and strategic planning, thereby leading to significant cost savings and improved resource allocation. The research also addresses the challenges and potential barriers to adoption, providing a balanced view of the technology's economic viability. Ultimately, the paper aims to elucidate how digital twin technology is not just a technological advancement, but a transformative tool for business innovation and economic growth, signaling a new era in digital-driven value creation.","url":"https://doi.org/10.21872/2024iise_7889","authors":["Md Tarique Hasan Khan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-22T19:01:52Z","doi":"10.21872/2024iise_7889","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.22215/etd/2025-16518","name":"Virtual Prototwinning: Exploring Digital Twin Development in Virtual Reality Using Numena’s Space Elevator and a Raspberry Pi to Design and Build a Birdhouse Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2025-16518","authors":["Beatrix Daisy Margaret Howe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-06T18:18:14Z","doi":"10.22215/etd/2025-16518","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1108/978-1-83797-703-120241015","name":"Digital Twin for Sustainable Infrastructure Management","source":"crossref","abstract":"Abstract This chapter discussed the implementation of the digital twin (DT) idea into construction. Through the adoption of DTs into construction practices, construction professionals have been able to project an identical virtual concept of sections of the project execution right from the onset. In the introduction and discussing of its origin, the DT was further assessed about its applications in construction beneficial in enhancing project delivery. Other sections like barriers, drivers and benefits of the DT in construction summarised what this chapter represents in terms of discussing the new involvement of digital tools in construction execution, management and sustainability.","url":"https://doi.org/10.1108/978-1-83797-703-120241015","authors":["Ayodeji E. Oke","Seyi S. Stephen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-02T07:03:28Z","doi":"10.1108/978-1-83797-703-120241015","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/dtpi61353.2024.10778736","name":"A Coupled Electro-Thermal Battery Model Identification and State Estimation Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dtpi61353.2024.10778736","authors":["Yuan Zhu","Xiangyang Zhao","Linze Yang","Junben Huang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T19:06:15Z","doi":"10.1109/dtpi61353.2024.10778736","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/globecom52923.2024.10901087","name":"Joint Communication and Synchronization Performance Optimization in Digital Twin Enabled Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901087","authors":["Hanzhi Yu","Yuchen Liu","Mingzhe Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901087","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_6","name":"The Competitive Advantage of the Digital Economy","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_6","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_6","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-75586-6_8","name":"Local Digital Twin Ecosystems: A Human-Centric Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-75586-6_8","authors":["Oleg Missikoff"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-13T01:33:38Z","doi":"10.1007/978-3-031-75586-6_8","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4018/978-1-7998-0108-5.ch004","name":"Enterprise Digital Twin","source":"crossref","abstract":"Enterprises constantly aim to maximise their objectives while operating in a competitive and dynamic environment. This necessitates an enterprise to be efficient, adaptive, and amenable for transformation. However, understanding a complex enterprise and identifying effective control measure, adaptation choice, or transformation option to realise specific objective is not a trivial task. The digital twin that imitates the real enterprise provides an environment to conduct the necessary interrogative and predictive analyses to evaluate various control measures, adaptation choices, and transformation options in a safe and cost-effective manner without compromising the analysis precision. This chapter reflects on the core concept of the digital twin, evaluates the state-of-the-art modelling and analysis technologies, and presents a pragmatic approach to develop high-fidelity digital twin for large complex enterprises.","url":"https://doi.org/10.4018/978-1-7998-0108-5.ch004","authors":["Souvik Barat"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-15T11:35:25Z","doi":"10.4018/978-1-7998-0108-5.ch004","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-73679-7_4","name":"Optimal Offloading in Digital Twin-Assisted Multi-Stage Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-73679-7_4","authors":["Muhammad Adnan Qadir","Muhammad Naeem","Waleed Ejaz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-10T17:28:42Z","doi":"10.1007/978-3-031-73679-7_4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4324/9781032693415-7","name":"Phasing the barriers to Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-7","authors":["Sven-Vegard Buer","Pål Furu Kamsvåg","Jo Wessel Strandhagen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-7","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icmtim65484.2025.11040333","name":"Development of Crawler Crane Condition Monitoring System Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmtim65484.2025.11040333","authors":["Tongxi Zhu","Yulan Wei","Bing Li","Yuncong Gu","Yang Zhang","Zhongjie Shao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-30T17:35:57Z","doi":"10.1109/icmtim65484.2025.11040333","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.71465/fias621","name":"Process Optimization in Smart Manufacturing via Data-Driven Approaches and Digital Twin Simulations","source":"crossref","abstract":"The advent of Industry 4.0 has necessitated a paradigm shift in manufacturing operations, moving from static, linear production lines to dynamic, interconnected ecosystems. This paper explores the integration of data-driven methodologies with Digital Twin (DT) technology to achieve process optimization in smart manufacturing environments. By leveraging real-time data acquisition, advanced analytics, and high-fidelity virtual replications, we propose a comprehensive framework for predictive maintenance, resource allocation, and anomaly detection. The research delineates a methodology for constructing a bidirectional data flow between the physical shop floor and its digital counterpart, enabling instantaneous feedback loops that enhance decision-making capabilities. Through a detailed implementation study involving a discrete manufacturing assembly line, we demonstrate that this synergistic approach significantly reduces operational downtime and energy consumption while improving throughput. The findings suggest that the convergence of machine learning algorithms and digital twin simulations provides a robust solution to the stochastic challenges inherent in modern production systems.","url":"https://doi.org/10.71465/fias621","authors":["Pierre Martin","Camille Dubois","Lucas Bernard"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-08T14:43:23Z","doi":"10.71465/fias621","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4324/9781032693415","name":"Digitalization and Sustainable Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415","authors":["Sverre Gulbrandsen-Dahl","Heidi C. Dreyer","Einar L. Hinrichsen","Halvor Holtskog","Kristian Martinsen","Håkon Raabe","Gabor Sziebig"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T05:54:14Z","doi":"10.4324/9781032693415","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icac65379.2025.11196463","name":"System Variations and Their Impact on the Validation of Digital Twin Models in Dynamic Manufacturing Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icac65379.2025.11196463","authors":["Ashkan Zare","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-16T17:35:30Z","doi":"10.1109/icac65379.2025.11196463","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.63044/w24kim72","name":"FROM DATA LAKE TO DIGITAL TWIN: A DATA MANAGEMENT FRAMEWORK FOR BEM AND BAS INTEROPERABLE BUILDINGS","source":"crossref","abstract":"","url":"https://doi.org/10.63044/w24kim72","authors":["Hyun Woo Kim","Adrian Mungroo","Jung-Ho Lewe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-31T12:33:50Z","doi":"10.63044/w24kim72","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781119842316.ch12","name":"Different Applications and Importance of Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch12","authors":["R. Suganya","Seyed M. Buhari","S. Rajaram"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch12","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_20","name":"Unleashing the Power of the Digital Factory","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_20","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_20","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.30657/pea.2023.29.20","name":"Use of the digital twin concept to optimize the production process of engine blocks manufacturing","source":"crossref","abstract":"Abstract The aim of the paper is to present the concept of a digital twin (DT) as part of the Industry 4.0 strategy. In the form of a case study, a digital twin of a production line for the processing of engine blocks is presented, which will serve as a starting point for further research in the field of digitization of production processes. The research part describes the simulation model of the production line with the representation of the material flow as a basis for the creation of a digital twin. The simulation model was used to optimize the production processes of the engine block and to verify the increase in its productivity. A case study implemented through a digital twin enables testing and analysis of changes before they are introduced into real production.","url":"https://doi.org/10.30657/pea.2023.29.20","authors":["Erika Sujová","Roman Bambura","Daniela Vysloužilová","Peter Koleda"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-28T13:32:33Z","doi":"10.30657/pea.2023.29.20","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.procir.2023.06.123","name":"Method for evaluating the monetary added value of the usage of a digital twin for additive manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2023.06.123","authors":["Fabio Oettl","Sebastian Hörbrand","Tobias Wittmeir","Johannes Schilp"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-07-18T16:36:41Z","doi":"10.1016/j.procir.2023.06.123","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/ojies.2025.3628531","name":"Digital Twin Tools for Smart Manufacturing: A Paradigm Shift for Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ojies.2025.3628531","authors":["Md Rafiul Kabir","Sandip Ray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-03T18:47:31Z","doi":"10.1109/ojies.2025.3628531","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-26104-6_1","name":"Introduction—The Digital Twin of Humans","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-26104-6_1","authors":["Iris Gräßler","Eckhard Steffen","Günter W. Maier","Daniel Roesmann"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-05-16T02:01:47Z","doi":"10.1007/978-3-031-26104-6_1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1115/imece2023-113131","name":"An Adaptive Path Planning Approach for Digital Twin-Enabled Robot Arm Based on Inverse Kinematics and Deep Reinforcement Learning","source":"crossref","abstract":"Abstract Efficient path planning methods for robot arms are crucial to ensure the quality and safety of their completing various tasks. Compared to traditional manual instruction, Reinforcement Learning (RL) based path planning methods show better adaptability for complex working scenarios. However, the training of RL is usually time-consuming with limited success rate. To tackle this problem, we propose an adaptive path planning approach for robot arm based on Inverse Kinematics (IK) and Deep Reinforcement Learning (DRL) in a pick-and-place context. A judgement mechanism is developed to adaptively select IK or RL based method according to the results of early-stage collision detection. We separate the pick and place task into three sequential curriculums (approaching, grabbing and placing) with modified reward functions to speed up the training process and achieve a higher success rate. The proposed approach is validated with a physical robot arm supported by a high-fidelity digital twin model. The experiment results show that our proposed approach outperforms traditional RL based method with improved training speed and guaranteed performance in collision avoidance and path accuracy. This work contributes to the practical deployment of RL based path planning method for digital twin-enabled robot arm in smart manufacturing.","url":"https://doi.org/10.1115/imece2023-113131","authors":["Qi Zhou","Sikai Li","Jingbo Qu","Jin Wu","Haomiao Xu","Youyi Bi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-05T19:30:37Z","doi":"10.1115/imece2023-113131","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.70675/3138df7bz4572z482aza2b3z3368a48449e5","name":"Maintaining the coherence of the digital twin with respect to the evolutions of its physical twin","source":"crossref","abstract":"Le maintien de la cohérence du jumeau numérique par rapport aux évolutions de son jumeau physique physique Cette thèse propose une architecture générique et modulaire de jumelage numérique centrée sur une structure de données de jumelage numérique (DTDS). La DTDS fait abstraction des détails de mise en œuvre des entités physiques, permettant des interfaces standard pour les services de jumelage numérique, tels qu'un système d'aide à la décision (DSS). L'architecture proposée comprend un module de gestion des données historiques, avec un pipeline de transformation des données et une file d'attente asynchrone pour obtenir des performances en temps réel. En outre, les méthodologies de maintien de la cohérence s'appuient sur le DTDS et le DSS pour synchroniser le jumeau numérique avec son jumeau physique. Le système proposé a été validé par des expériences utilisant l'équipement de production de la plateforme de l'ENSAM et de la plateforme d'un partenaire universitaire. L'évaluation a vérifié la généricité de l'architecture, les performances en temps réel et l'efficacité de l'intégration des services de jumeau numérique. Les résultats démontrent la faisabilité d'une architecture de jumeau numérique modulaire, évolutive et entièrement intégrée qui incorpore la gestion des données historiques et soutient la prise de décision. Cette recherche contribue à l'objectif plus large de développer une architecture de jumeau numérique normalisée pour les applications de l'industrie 4.0 dans le domaine de la fabrication.","url":"https://doi.org/10.70675/3138df7bz4572z482aza2b3z3368a48449e5","authors":["Oghenemarho Orukele"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-09T06:30:20Z","doi":"10.70675/3138df7bz4572z482aza2b3z3368a48449e5","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/asim67379.2025.11512688","name":"Research on the Construction and Application of a Digital Twin System for an Automotive Lighting Plant","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asim67379.2025.11512688","authors":["Tao Zhu","Huafang Wang","Jueyuan Duan","Jin Cao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T02:41:37Z","doi":"10.1109/asim67379.2025.11512688","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.46254/sa6.20250091","name":"A Proposal for Production Control of Legacy Flexible Manufacturing Systems using Asset Administration Shell and Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.46254/sa6.20250091","authors":["Vitor Mendes Caldana","Luca Fumagalli","Eduardo Paciência Godoy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-18T20:33:17Z","doi":"10.46254/sa6.20250091","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1201/9781351132992-3","name":"Smart manufacturing based on Digital Twin technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781351132992-3","authors":["Shohin Aheleroff","Jan Polzer","Huiyue Huang","Zexuan Zhu","David Tomzik","Yuqian Lu","Yuan Lin","Xun Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-18T13:50:28Z","doi":"10.1201/9781351132992-3","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_13","name":"The Role of Data in Digital Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_13","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_13","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2478/amns-2024-1300","name":"Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology","source":"crossref","abstract":"Abstract Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance. College logistics management is an indispensable part of the daily operation of colleges and universities, and the high and low level of college and university logistics management directly affects the strength of the overall strength of colleges and universities. This paper puts forward the optimization strategy of college logistics management from three aspects: leadership level, personnel quality, and work system. It adopts digital twin technology to realize the construction of fine management mode and, in order to effectively assess the efficiency of college logistics management, explores the level of college logistics management by constructing the FAHP model. Finally, using M College as the research object, the refined management model of college logistics based on digital twin technology is analyzed. Management system and execution have a weight value of 0.3762 among the first-level indicators, which is higher than the other two factors. The hierarchical total ranking is used to identify the factors that have a greater impact on college and university logistics efficiency in the second-level indicators. The comprehensive score of logistics management efficiency for college M is 92, which belongs to the range of excellent grades. Therefore, for the level of fine management of college logistics, the management system and execution is the key, which can be realized by strictly charging according to the regulations, sound rules and regulations and regular training of relevant managers.","url":"https://doi.org/10.2478/amns-2024-1300","authors":["Xiaodong Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-23T01:59:16Z","doi":"10.2478/amns-2024-1300","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-73679-7_1","name":"Overview of Digital Twin, Architecture, and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-73679-7_1","authors":["Sana Sharif","Muhammad Khalil Afzal","Muhammad Naeem","Waleed Ejaz"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-10T17:28:35Z","doi":"10.1007/978-3-031-73679-7_1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.ijpe.2021.108223","name":"Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijpe.2021.108223","authors":["Ming Li","Zhi Li","Xidian Huang","Ting Qu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-07-07T03:19:29Z","doi":"10.1016/j.ijpe.2021.108223","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4324/9781032693415-4","name":"Framework for life cycle assessment-based circular business model development","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032693415-4","authors":["Marit Moe Bjørnbet","Christofer Skaar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-10-15T09:54:14Z","doi":"10.4324/9781032693415-4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.47456/bjpe.v11i3.49585","name":"SimulaQuiz: jogo digital para o ensino de Digital Twin","source":"crossref","abstract":"A rápida evolução da Indústria 4.0 criou uma demanda crescente por profissionais qualificados em tecnologias digitais, especialmente em Digital Twin, cujo seu conhecimento tornou-se essencial para organizações que buscam eficiência operacional e redução de custos. Diante da carência de recursos educacionais eficazes para o ensino dessa tecnologia complexa, este trabalho apresenta o desenvolvimento do SimulaQuiz, um jogo educacional gamificado voltado para o aprendizado de Digital Twin e seu ecossistema. A metodologia empregada caracterizou-se como exploratória qualitativa, estruturada em cinco etapas: concepção do formato, desenvolvimento técnico, testes sistemáticos com usuários, registro de software junto ao INPI e a construção de uma matriz SWOT. O produto desenvolvido consiste em um quiz interativo com 64 questões distribuídas em blocos temáticos sobre simulação, Digital Twin e Indústria 4.0, apresentando feedback visual instantâneo e sistema de pontuação por estrelas. A matriz SWOT evidenciou que a gamificação aumenta significativamente o engajamento estudantil e facilita a compreensão de conceitos complexos, embora demande infraestrutura tecnológica adequada e conhecimento técnico específico. O SimulaQuiz foi registrado oficialmente como programa de computador (BR512025000934-8), contribuindo para a formação de profissionais qualificados para os desafios da Indústria 4.0.","url":"https://doi.org/10.47456/bjpe.v11i3.49585","authors":["Marcus Vinícius Oliveira Ribeiro Brandão","João Pedro Silva Nascimento","Luciane Oliveira Lima","João Vitor Siqueira Fonseca","Andressa Clara Barbosa de Araujo","Marcus Vinícius Lemos da Silva","Cristiane Agra Pimentel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-27T15:54:32Z","doi":"10.47456/bjpe.v11i3.49585","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2478/amns-2024-0871","name":"Digital Twin Based Resource Optimization and Dynamic Decision Making in Air Terminal Yards","source":"crossref","abstract":"Abstract With the growth of globalized trade, the efficient operation of airports is crucial. In this paper, we study the use of digital twin technology to optimize the yard resources of airports, which can improve their operational efficiency and decision-making quality. The study first constructs a digital twin framework for intelligent yard scheduling, which contains physical and virtual space and the connection between them. Data is collected through the physical perception module, while the virtual space is used for real-time simulation and optimized decision-making. The research methodology includes mixed integer programming and adaptive immune cloning algorithms for optimizing yard resource allocation and box space allocation. The experimental results show that the method can effectively reduce the total transportation distance in the air terminal yard operation and improve operation efficiency. The experiments demonstrate an average improvement in operational efficiency of around 20% and a cost reduction of around 15%. It is concluded that digital twin technology has apparent advantages in allocating resources in air terminal yards, which can achieve efficient utilization of resources and dynamic optimization of decision-making.","url":"https://doi.org/10.2478/amns-2024-0871","authors":["Yicheng Qiu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-26T23:09:40Z","doi":"10.2478/amns-2024-0871","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-90099-0_5","name":"Digital Twin for Smart Power Distribution","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-90099-0_5","authors":["Sabrieh Choobkar","Seyed Mohsen Hashemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T11:05:35Z","doi":"10.1007/978-3-031-90099-0_5","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.5772/intechopen.112598","name":"Perspective Chapter: Digital Twin Applied in the Brazilian Energy Sector","source":"crossref","abstract":"This chapter explores the applications of Digital Twin (DT) technology in the Brazilian energy sector and its impact on businesses and society. It highlights how DT applications have contributed to cost reduction, human error mitigation, operational optimization, and technical failure prediction. The chapter also discusses the implementation process and the requirements for developing these systems. Additionally, it explores the potential of leveraging Artificial Intelligence for decision-making support, utilizing Big Data processes to enhance various areas, and employing User Experience (UX) techniques to streamline outdated processes, through the examination of real projects in the wind power monitoring, transmission towers, and data-saving equipment domains, addressing the challenges faced and the benefits derived from its implementation.","url":"https://doi.org/10.5772/intechopen.112598","authors":["Eldrey Seolin Galindo","Urbano Chagas"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-10-20T13:24:01Z","doi":"10.5772/intechopen.112598","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1201/9781003467496-2","name":"Sustainable digital manufacturing processes in Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003467496-2","authors":["Abhishek Yadav","Abhinav Bhatnagar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-02T20:18:35Z","doi":"10.1201/9781003467496-2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.32657/10356/173687","name":"Probabilistic digital twin of water treatment facilities","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/173687","authors":["Yuying Wei"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-07T08:37:32Z","doi":"10.32657/10356/173687","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/asim67379.2025.11512705","name":"Personnel Intelligent Control in Pumped Storage Power Station Construction Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asim67379.2025.11512705","authors":["Fei Wang","Zhipeng Tian","Jian Chen","Jianfeng Zhu","Guangran Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-15T02:41:37Z","doi":"10.1109/asim67379.2025.11512705","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1201/9781003132868-10","name":"Nessus","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003132868-10","authors":["Himanshu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-08-03T19:47:30Z","doi":"10.1201/9781003132868-10","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21606/drs.2024.136","name":"Design for manufacturing: Rehumanising digital manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.21606/drs.2024.136","authors":["Mersha Aftab","Rebecca Grant","Mey Goh Goh","Iryna Yesseyeva"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-19T18:09:28Z","doi":"10.21606/drs.2024.136","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.37663/0131-6184-2022-5-103-107","name":"Application of digital twin technology for modeling and automated manufacturing of fishing nodal connections","source":"crossref","abstract":"The article is devoted to fishing nodes, in particular, to the problems of creating their three–dimensional models, as well as digital counterparts based on them, and automation tools that allow servicing and producing nodal connections.","url":"https://doi.org/10.37663/0131-6184-2022-5-103-107","authors":["Vitaly Peleshenko"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-10-14T11:00:09Z","doi":"10.37663/0131-6184-2022-5-103-107","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.5010636","name":"Ontology-Based Semantic Digital Twin for Monitoring Construction Workflow","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5010636","authors":["Yuan Zheng","Alaa Al Barazi","Olli Seppänen","Hicham Abou-Ibrahim","Christopher Görsch"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-05T15:49:37Z","doi":"10.2139/ssrn.5010636","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/beer.12698/v4/review1","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v4/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v4/review1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.19080/aaps.2024.02.555595","name":"Twin farms Nexus - Digital Twins for Sustainable Animal Farming","source":"crossref","abstract":"","url":"https://doi.org/10.19080/aaps.2024.02.555595","authors":["Suresh Neethirajan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-18T12:59:12Z","doi":"10.19080/aaps.2024.02.555595","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/b978-0-323-91300-3.12001-7","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-91300-3.12001-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-03-18T10:39:39Z","doi":"10.1016/b978-0-323-91300-3.12001-7","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3403/30404127u","name":"Tracked Changes. Visualization elements of digital twin. Visualization fidelity","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30404127u","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-13T21:30:18Z","doi":"10.3403/30404127u","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.4337/9781035301003.00027","name":"Digital business ecosystems for digital spare parts","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035301003.00027","authors":["Sabine Baumann","Marcel Leerhoff"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-13T14:02:16Z","doi":"10.4337/9781035301003.00027","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2961/jlmn.2024.02.2005","name":"Using Laser in the Fabrication of Graphene for Gas Sensing: A Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2961/jlmn.2024.02.2005","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-23T04:58:41Z","doi":"10.2961/jlmn.2024.02.2005","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4944568","name":"Physics-Informed and Temperature-Dependent Battery Digital Twin of State of Charge Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4944568","authors":["Renato Rodriguez","Omidreza Ahmadzadeh","Yan Wang","Damoon Soudbakhsh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-02T22:18:23Z","doi":"10.2139/ssrn.4944568","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1201/9781003403791-6","name":"Reversible Data Hiding","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003403791-6","authors":["Shaiju Panchikkil","V. M. Manikandan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-19T10:25:28Z","doi":"10.1201/9781003403791-6","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4853785","name":"Multiple Source Data Integration for Digital Twin Application in Management of Urban Rail Transit Construction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4853785","authors":["Xuejian Wang","Jiayuan Wang","Yuyu Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-04T20:46:20Z","doi":"10.2139/ssrn.4853785","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4958614","name":"From Data to Decisions: An Urban Digital Twin Framework for Sustainable and Proactive Urban Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4958614","authors":["Yiming Xu","Junfeng Jiao","Huihai Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T13:05:47Z","doi":"10.2139/ssrn.4958614","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1149/ma2024-01201279mtgabs","name":"Towards Digital Twin Standards in Chemical Mechanical Planarization (CMP) for Advanced Packaging","source":"crossref","abstract":"A digital twin is an integrated multi-physics, multiscale, probabilistic simulation of a system that uses the best available physical models, sensor updates, process history, etc., to mimic and to predict the performance of the system. In the semiconductor industry, there is a need to establish such fundamental, mechanism-based, correlations between process conditions and observed process performance. Such understanding can lead to the creation of industry-wide technical standards, and digital twins (i.e., real time digital replicas of unit processes), that will enable inter-operability, ease process selection and integration, as well as help reduced cost of ownership. In this paper, we revisit our decades old, but still relevant, quest for appropriate mechanism-based metrology to support the digitization of Chemical-Mechanical Polishing (CMP) for the back-end-of line (BEOL), with advanced packaging, specifically hybrid bonding for 3D interconnects, in mind. Here, we consider the digitization of the nanoscale tribological aspects of CMP. For example, many CMP processes use chemically unstable polyurethane pads in a variety of slurry formulations which make the process difficult to understand and to model. We had previously described how the chemical instability of the PU-pads affects the CMP process performance. Here we contextualize the historical performance data, identify data gaps, and propose some next steps towards digital twin CMP modules.","url":"https://doi.org/10.1149/ma2024-01201279mtgabs","authors":["Yaw Obeng"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-19T15:24:31Z","doi":"10.1149/ma2024-01201279mtgabs","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781394303564.ch2","name":"Blockchain Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch2","authors":["Amit Kumar Tyagi","Shabnam Kumari","Tanuj Surve"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.jmsy.2025.09.001","name":"Digital twin-based framework for an efficient execution of CPPS reconfiguration through human–robot collaboration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.09.001","authors":["Francesco Giuseppe Ciampi","Thierno M.L. Diallo","Faïda Mhenni","Jean-Yves Choley","Stanislao Patalano"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-13T12:25:00Z","doi":"10.1016/j.jmsy.2025.09.001","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1080/0951192x.2020.1775299","name":"Closed-loop digital twin system for air cargo load planning operations","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2020.1775299","authors":["Eugene Y. C. Wong","Daniel Y. Mo","Stuart So"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-06-21T18:44:40Z","doi":"10.1080/0951192x.2020.1775299","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/aff2.153/v1/decision1","name":"Decision letter for \"Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/aff2.153/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-22T16:15:17Z","doi":"10.1002/aff2.153/v1/decision1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/beer.12698/v5/review1","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v5/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v5/review1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/beer.12698/v4/review2","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v4/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v4/review2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.5037875","name":"Digital Twin Grading and Credibility Assessment Methods","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5037875","authors":["Lele Luo","Heming Zhang","Weijia Zhang","Chuangyi Liang","Yan Tong","Xin Liu","Wenlei Yu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-28T20:37:41Z","doi":"10.2139/ssrn.5037875","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21956/digitaltwin.19231.r28014","name":"Peer Review Report For: Modeling of cross-scale human activity for digital twin workshop [version 2; peer review: 2 approved]","source":"crossref","abstract":"","url":"https://doi.org/10.21956/digitaltwin.19231.r28014","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-29T18:12:26Z","doi":"10.21956/digitaltwin.19231.r28014","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/beer.12698/v3/review1","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v3/review1","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v3/review1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.54097/1gjms289","name":"Fire Station Management System Based on Digital Twin","source":"crossref","abstract":"To streamline travel, alleviate traffic congestion, and enhance overall traffic safety, the Internet of Vehicles (IoV) technology has emerged. This not only simplifies the lives of modern individuals but also integrates with other technologies, fostering advancements in various fields. Notably, the integration of digital twin technology with IoV is widespread, enabling the visualization of road conditions for informed route decisions and optimization. This paper focuses on applying this capability to a fire truck management system, empowering swift route selection, optimal vehicle deployment, and efficient execution of rescue activities in the shortest time and at the lowest cost.","url":"https://doi.org/10.54097/1gjms289","authors":["Tongrui An"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-18T18:04:04Z","doi":"10.54097/1gjms289","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4735500","name":"A Twin Digital Environment for Integrated Management of Highway Construction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4735500","authors":["Chunhua Han","Shunbiao Xue","Paul  M. Schonfeld","Li LONG","Xiongquan XIAO"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-22T15:03:56Z","doi":"10.2139/ssrn.4735500","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781119842316.ch6","name":"Digital Twin as a Revamping Tool for Construction Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch6","authors":["A. S. Greeshma","Philbin M. Philip"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch6","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4861693","name":"Digital Twin-based Framework for Heat Stress Calculation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4861693","authors":["Iván Cárdenas-León","Luis Rodrigoandres Morales-Ortega","Mila Koeva","Funda Atun","Karin Pfeffer"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-17T19:53:16Z","doi":"10.2139/ssrn.4861693","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1364/ofc.2024.w4i.3","name":"Extending the OCATA Digital Twin for Optical Connections based on Digital Subcarrier Multiplexing","source":"crossref","abstract":"Time-domain digital twin models for single carrier and DSCM signals are developed that propagate features to estimate the impact of filter penalties on the BER. Results show remarkable accuracy, which is used for lightpath provisioning.","url":"https://doi.org/10.1364/ofc.2024.w4i.3","authors":["M. Devigili","D. Sequeira","M. Ruiz","N. Costa","C. Castro","A. Napoli","J. Pedro","L. Velasco"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-14T12:47:06Z","doi":"10.1364/ofc.2024.w4i.3","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.3390/a17110494","name":"NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking","source":"crossref","abstract":"The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) for digital twin management in aviation, with a focus on component lifecycle tracking. The proposed approach uses NFTs to create unique, immutable digital representations of physical aviation components capturing real-time records of a component’s entire lifecycle, from manufacture to retirement. This paper outlines detailed workflows for key processes, including part tracking, maintenance records, certification and compliance, supply chain management, flight logs, ownership and leasing, technical documentation, and quality assurance. This paper introduces a class of algorithms designed to manage the complex relationships between physical components, their digital twins, and associated NFTs. A unified model is presented to demonstrate how NFTs are created and updated across various stages of a component’s lifecycle, ensuring data integrity, regulatory compliance, and operational efficiency. This paper also discusses the architecture of the proposed system, exploring the relationships between data sources, digital twins, blockchain, NFTs, and other critical components. It further examines the main challenges of the NFT-based approach and outlines future research directions.","url":"https://doi.org/10.3390/a17110494","authors":["Igor Kabashkin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-04T09:52:54Z","doi":"10.3390/a17110494","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.4711229","name":"Digital Twin Functional Modeling of Smart Product Service System for Vehicle Diesel Engine","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4711229","authors":["Hanyu Lv","Chunlong Wu","Marcus Vinicius Pereira Pessôa"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-01-31T04:17:52Z","doi":"10.2139/ssrn.4711229","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.2139/ssrn.5038983","name":"Digital Twin-Based Assembly Process Framework Utilizing Step and Knowledge Graph","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5038983","authors":["Yazui Liu","Haodong Shen","Gang Zhao","Xiaoxiao Du","Xishuang Jing"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-29T19:38:00Z","doi":"10.2139/ssrn.5038983","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.47857/irjms.2024.v05i01.0365","name":"Digital Twin in Fluid Power: Reviewing Constituents","source":"crossref","abstract":"","url":"https://doi.org/10.47857/irjms.2024.v05i01.0365","authors":["Akshay Dattaprasad Khamkar","Sudhir Madhav Patil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-06T09:51:56Z","doi":"10.47857/irjms.2024.v05i01.0365","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.5935/jetia.v10i47.1166","name":"Digital twin of a photovoltaic system","source":"crossref","abstract":"","url":"https://doi.org/10.5935/jetia.v10i47.1166","authors":["Luis Mollineda","José García"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-01T17:16:46Z","doi":"10.5935/jetia.v10i47.1166","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.38007/ijssem.2024.050219","name":"Analysis on Optimal Allocation of Water Resources under the Background of Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.38007/ijssem.2024.050219","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-12T01:08:03Z","doi":"10.38007/ijssem.2024.050219","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/b978-0-32-399163-6.00003-2","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-32-399163-6.00003-2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-01-27T18:36:36Z","doi":"10.1016/b978-0-32-399163-6.00003-2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1080/0951192x.2022.2126013","name":"A digital twin-based multi-objective optimization method for technical schemes in process industry","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2022.2126013","authors":["Xiaoyang Zhu","Yangjian Ji"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-09-26T17:15:19Z","doi":"10.1080/0951192x.2022.2126013","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/gcce62371.2024.10760555","name":"A Method of Synchronous Control for Stream Processing in Digital Twin Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcce62371.2024.10760555","authors":["Tsuyoshi Uehara","Daisuke Kasamatsu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-10T19:47:28Z","doi":"10.1109/gcce62371.2024.10760555","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/cost64302.2024.00027","name":"Dissemination of Intangible Cultural Heritage Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cost64302.2024.00027","authors":["Yu Wen","Kexin Xu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-18T13:53:17Z","doi":"10.1109/cost64302.2024.00027","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.25236/ajets.2024.070223","name":"Digital Twin Technology of Metaverse Based on Game Engine in the Campus Application Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ajets.2024.070223","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-26T01:24:41Z","doi":"10.25236/ajets.2024.070223","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/mcte62870.2024.11117263","name":"Hydro Turbine Attitude Monitoring System Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcte62870.2024.11117263","authors":["Jize Zong","Xueyuan Hao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-20T18:28:40Z","doi":"10.1109/mcte62870.2024.11117263","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/nnice61279.2024.10498861","name":"Digital Twin-based Collision and Conflict Warning System for Internet of Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/nnice61279.2024.10498861","authors":["Yuxuan Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-04-22T17:33:49Z","doi":"10.1109/nnice61279.2024.10498861","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1049/pbhe046e_ch3","name":"Application of digital twin technology in model-based systems engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch3","authors":["S. Chellam","M. Jajini","M. Santhiya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch3","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1142/9789819824625_0008","name":"Comparison of Domestic and International Intelligent Transportation in the Digital Twin Era","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0008","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0008","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00008-6","name":"Digital Twin development and cloud deployment for a Hybrid Electric Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00008-6","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:55Z","doi":"10.1016/b978-0-12-821631-6.00008-6","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1080/27525783.2025.2588941","name":"A web-based visual programming environment for design and operation of digital twins","source":"crossref","abstract":"","url":"https://doi.org/10.1080/27525783.2025.2588941","authors":["Maarten van Emmerik","Esther Waardenburg"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-11-27T15:22:31Z","doi":"10.1080/27525783.2025.2588941","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781119842316.ch7","name":"Digital Twin Applications and Challenges in Healthcare","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch7","authors":["S. Pavithra","D. Pavithra","R. Vanithamani","Judith Justin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch7","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icphm61352.2024.10626334","name":"Digital Twin Enabled Asset Management of Machine Tools","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icphm61352.2024.10626334","authors":["Brett Sicard","Yuandi Wu","Stephen Andrew Gadsden"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-13T17:20:32Z","doi":"10.1109/icphm61352.2024.10626334","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1111/beer.12698/v5/review2","name":"Review for \"Assessing digital capability for twin transition and profitability: From firm and people perspectives with leadership support as moderator\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/beer.12698/v5/review2","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-20T08:10:45Z","doi":"10.1111/beer.12698/v5/review2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.36227/techrxiv.171043268.81119604/v1","name":"Towards Cognitive Digital Twin System of   Human-Robot Collaboration Manipulation","source":"crossref","abstract":"Multielement decision-making is crucial for the robust deployment of human-robot collaboration (HRC) systems in flexible manufacturing environments with personalized tasks and dynamic scenes. Large Language Models (LLMs) have recently demonstrated remarkable reasoning capabilities in various robotic tasks, potentially providing this ability. However, the application of LLMs to actual HRC systems necessitates the timely and comprehensive capture of real-scene information. In this study, we suggest incorporating real scene data into LLMs using digital twin (DT) technology and present a cognitive digital twin prototype system of HRC manipulation, known as HRCCogiDT. Specifically, we initially construct a scene semantic graph that encodes the geometric information of entities, spatial relationships between entities, actions of humans and robots, and collaborative activities. Subsequently, we devise a prompt that merges scene semantics with activity priori, linking the real scene with LLMs. To evaluate performance, we compile an HRC scene understanding dataset and set up a laboratory-level experimental platform. Empirical results indicate that HRC-CogiDT can swiftly perceive scene changes and make high-level decisions according to varying task requirements, such as task planning, anomaly detection, and schedule reasoning. This study provides promising implications for future applications of LLMs in robotics.","url":"https://doi.org/10.36227/techrxiv.171043268.81119604/v1","authors":["Xin Li","Bin He","Zhipeng Wang","Yanmin Zhou","Gang Li","Xiang Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-14T12:11:27Z","doi":"10.36227/techrxiv.171043268.81119604/v1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/iccworkshops59551.2024.10615712","name":"Digital Twin-Based Dynamic Task Assignment for Smart Home Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops59551.2024.10615712","authors":["Abdulrahman Alhaidari","Balaji Palanisamy","Prashant Krishnamurthy"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-12T17:23:42Z","doi":"10.1109/iccworkshops59551.2024.10615712","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.23860/diss-danilczyk-william-2023","name":"DIGITAL TWIN FOR INTELLIGENT CYBER-PHYSICAL SYSTEMS","source":"crossref","abstract":"","url":"https://doi.org/10.23860/diss-danilczyk-william-2023","authors":["William Danilczyk"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-08T20:27:13Z","doi":"10.23860/diss-danilczyk-william-2023","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1115/gt2024-126589","name":"Neural Network Based Digital Twin for Performance Prediction of Water Brake Dynamometer","source":"crossref","abstract":"Abstract Water brake dynamometer, the core component of aerospace engine testing facilities, is widely used in turbine component testing and turboshaft engine testing. Since the status of the water brake dynamometer system cannot be monitored in detail, equipment maintenance is performed solely based on the operator’s experience, resulting in high risks in the dynamometer equipment operation. Post-test inspections may even reveal damage to the dynamometer bearings and key components. Cavitation and other phenomena require urgent technical solutions to improve health monitoring of key equipment and experimental safety. This paper proposes a performance prediction method for water brake dynamometers based on machine learning. By conducting physical correlation analysis of key parameters, the characteristics of water brake dynamometer operation are captured. Subsequently, a performance prediction model for water brake dynamometer is built based on digital twin technology and experimental data, enabling an accurate mapping of the dynamometer’s operational state. After turbine test, the digital model is verified by dynamometer operation data set. Predicted operating parameters of the digital model show that the dynamic mean error between predicted values and actual values of multiple core component temperatures is less than 1%. Considering the sensitivity of data changes, these prediction error values are acceptable, which provide valuable reference information.","url":"https://doi.org/10.1115/gt2024-126589","authors":["Shuo Song","Hong Xiao","Leibo Jiang","Yufeng Liang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-28T19:43:22Z","doi":"10.1115/gt2024-126589","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/syscon61195.2024.10553534","name":"Emergence of Next generation Digital Twin based Robotic frameworks for Cyber-Human-Physical contexts","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon61195.2024.10553534","authors":["J. Cecil"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-17T17:55:15Z","doi":"10.1109/syscon61195.2024.10553534","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/cac63892.2024.10865086","name":"Research on Digital Twin System of Large Aircraft Ground Dynamics Test Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865086","authors":["Jiyang Sun","Hongxin Wang","Yifan Shao","Shengjie Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865086","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.rcim.2026.103346","name":"A dynamic evolution modeling method for system-level digital twin models based on X Language","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2026.103346","authors":["Kunyu Xie","Lin Zhang","Bernard P. Zeigler","Kunyu Wang","Pengfei Gu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-09T19:50:18Z","doi":"10.1016/j.rcim.2026.103346","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.21741/9781644903377-52","name":"Integrating digital twins in metal sink factories: A pathway to smart manufacturing","source":"crossref","abstract":"Abstract. This study presents the development and validation of a digital twin for the production line of monoblock sinks. The digital twin was created using the AnyLogic simulation platform, integrating both 2D and 3D environments to replicate the factory’s operations. The model simulates the movement of workers and machinery across key stations in the production process, providing detailed insights into resource availability, machine usage, and potential bottlenecks. Validation of the model was conducted through a comparison of simulated production rates with real-world data for key production stations. The results demonstrated a high degree of accuracy, with discrepancies between simulated and actual production times within a few seconds. The digital twin offers a powerful tool for experimentation and optimization, enabling adjustments in process times, workforce allocation, and equipment utilization. This approach not only enhances production efficiency but also provides a reliable platform for future decision-making and process improvements.","url":"https://doi.org/10.21741/9781644903377-52","authors":["Vassilios KAPPATOS"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-04T16:42:31Z","doi":"10.21741/9781644903377-52","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-90099-0_6","name":"Digital Twin for Smart Power Transmission","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-90099-0_6","authors":["Sabrieh Choobkar","Seyed Mohsen Hashemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T11:05:37Z","doi":"10.1007/978-3-031-90099-0_6","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.23860/thesis-2438","name":"Defining the Digital Twin for Industry 4.0","source":"crossref","abstract":"","url":"https://doi.org/10.23860/thesis-2438","authors":["Zachary deWardener"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-06T20:14:35Z","doi":"10.23860/thesis-2438","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/b978-0-12-821631-6.00007-4","name":"Digital twin development for an inverter circuit for motor drive systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-821631-6.00007-4","authors":["Nassim Khaled","Bibin Pattel","Affan Siddiqui"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-29T09:12:52Z","doi":"10.1016/b978-0-12-821631-6.00007-4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1080/0951192x.2025.2504085","name":"Cost-effective sensor-based digital twin for fused deposition modeling 3D printers","source":"crossref","abstract":"","url":"https://doi.org/10.1080/0951192x.2025.2504085","authors":["Kemel Shomenov","Md. Hazrat Ali","Nursultan Jyeniskhan","Ahmed Al-Ashaab","Essam Shehab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-13T08:59:06Z","doi":"10.1080/0951192x.2025.2504085","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.rcim.2025.103164","name":"Spatiotemporal collaborative digital twin structural health monitoring based on data mechanism fusion","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2025.103164","authors":["Hongjiang Lu","Lilan Liu","Zenggui Gao","Yuyan Yao","Xinjie Cao","Jingwei Tang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-10-13T14:03:44Z","doi":"10.1016/j.rcim.2025.103164","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/ic2ecs64405.2024.10928676","name":"Optimal design of electronic controller easy assembly based on digital twin drive","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ic2ecs64405.2024.10928676","authors":["Jianbo Mao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-26T06:34:15Z","doi":"10.1109/ic2ecs64405.2024.10928676","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-65866-2_2","name":"Deep Reinforcement Learning, Generative AI, Federated Learning, and Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-65866-2_2","authors":["Jong-Moon Chung"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-16T10:02:49Z","doi":"10.1007/978-3-031-65866-2_2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s10696-026-09659-4","name":"Decoupling-based evolutionary algorithm for distributed heterogeneous hybrid flow shop scheduling problem","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10696-026-09659-4","authors":["Hanghao Cui","Xinyu Li","Liang Gao","Zhimou Xiang","Wei Zhou","Yanbin Yu","Ling Fu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-16T11:40:05Z","doi":"10.1007/s10696-026-09659-4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1177/1729881419880663","name":"Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing","source":"crossref","abstract":"In the wake of the continuous deepening of the application of new generation information technology in the manufacturing field, digital twin, as a most new active factors for smart manufacturing, has become a new research hot spot. Based on such a background, the article proposes a novel application framework of digital twin-driven product smart manufacturing system and analyzes its operation mechanism. Key enabling technologies such as digital twin mapping technology with manufacturing entity, twinning of cyber and physical manufacturing system, as well as twining data-driven machining parameter optimization are also illustrated in detail. Finally, a case of the aeroengine fan blade manufacturing is given to demonstrate the feasibility and effectiveness of the implementation method mentioned above. Meanwhile, potential industrial applications and limitations are discussed as well to provide valuable insights to aeroengine blade manufacturers.","url":"https://doi.org/10.1177/1729881419880663","authors":["Xuqian Zhang","Wenhua Zhu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-10-16T23:05:51Z","doi":"10.1177/1729881419880663","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.rcim.2020.101956","name":"Web-based digital twin modeling and remote control of cyber-physical production systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2020.101956","authors":["Chao Liu","Pingyu Jiang","Wenlei Jiang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-02-14T05:17:20Z","doi":"10.1016/j.rcim.2020.101956","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-981-99-0252-1_3","name":"An Architecture for Intelligent Agent-Based Digital Twin for Cyber-Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-0252-1_3","authors":["Hussein Marah","Moharram Challenger"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-08T13:02:42Z","doi":"10.1007/978-981-99-0252-1_3","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-981-97-8483-7_2","name":"Towards Sustainable Urban Rooftop Solar Energy Planning Through Spatial Digital Twins Paradigm: A Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-8483-7_2","authors":["Athenee Teofilo","Qian Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-24T21:32:21Z","doi":"10.1007/978-981-97-8483-7_2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-90099-0_7","name":"Digital Twin for Future Smart Grid","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-90099-0_7","authors":["Sabrieh Choobkar","Seyed Mohsen Hashemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T11:05:36Z","doi":"10.1007/978-3-031-90099-0_7","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/swc62898.2024.00326","name":"A Maturity Model for Digital Twin Integration of Mobile Robotics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc62898.2024.00326","authors":["Jacob Hart","Gideon Zimmerman","John Hale"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-24T17:52:22Z","doi":"10.1109/swc62898.2024.00326","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/wsc63780.2024.10838980","name":"Real-Time Tracking of Production in Assembly Operations Using Agent-Based Modeling and Digital Twin Techniques","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838980","authors":["Michail Katsigiannis","Konstantinos Mykoniatis"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838980","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-90099-0_4","name":"Digital Twin for Smart Power Generation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-90099-0_4","authors":["Sabrieh Choobkar","Seyed Mohsen Hashemi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-06-03T11:05:37Z","doi":"10.1007/978-3-031-90099-0_4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1142/9789819824625_0002","name":"Digital Twin Has Become a Key Driving Force for China’s Transportation Development","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819824625_0002","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-24T01:23:41Z","doi":"10.1142/9789819824625_0002","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/oecc54135.2024.10975364","name":"Deep Reinforcement Learning Enabled Adaptive and Efficient RWA for Digital Twin Optical Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/oecc54135.2024.10975364","authors":["Zhaoyang Liu","Bitao Pan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-05-01T17:22:00Z","doi":"10.1109/oecc54135.2024.10975364","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.36227/techrxiv.175693143.39879126/v1","name":"Scaling Digital Twin Models","source":"crossref","abstract":"The scale and complexity of systems can often present significant barriers to the development of accurate digital twin models. This paper introduces a novel methodology and a modular computational tool utilizing machine learning and dimensional analysis to establish a framework for scaling digital twin models. Scaling techniques have not yet been applied to digital twin technology, but they can eliminate the need for repetitive physical calibration of such models in industries where product lines include a variety of sizes of the same or similar products. In many cases, it may be easier or more cost-effective to perform physical calibration of the digital twin model on smaller units of a product line. Scaling techniques can then allow adapting the calibration data from the smaller units to other sizes of the product line without the need for additional data collection and experimentation for calibration. Conventional application of dimensional analysis for scaling in this context introduces several challenges due to the distortion of scaling factors. This paper addresses these challenges and introduces a framework for proper scaling of digital twin models. The results are applied to scaling the models between an industrial-size wheel loader to a miniaturized system.","url":"https://doi.org/10.36227/techrxiv.175693143.39879126/v1","authors":["Deniz Karanfil","Bahram Ravani"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-03T20:30:50Z","doi":"10.36227/techrxiv.175693143.39879126/v1","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-14537-7_3","name":"The application of the Bees Algorithm in a Digital Twin for Optimising the Wire Electrical Discharge Machining (WEDM) Process Parameters","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-14537-7_3","authors":["Michael S Packianather","Theocharis Alexopoulos","Sebastian Squire"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-19T11:03:01Z","doi":"10.1007/978-3-031-14537-7_3","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s00170-022-09978-4","name":"Digital twin-driven fault diagnosis for CNC machine tool","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-022-09978-4","authors":["Ruijuan Xue","Peisen Zhang","Zuguang Huang","Jinjiang Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-08-22T15:02:49Z","doi":"10.1007/s00170-022-09978-4","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.12792/iciae2024.011","name":"Development of a Cyber-Physical System with Vision-Based AGV and Digital Twin in a Smart Factory: Preliminary Demonstrations","source":"crossref","abstract":"","url":"https://doi.org/10.12792/iciae2024.011","authors":["Zhuo-Yuan Liu","Chien-Ta Huang","Kuo-Shen Chen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-05T11:22:23Z","doi":"10.12792/iciae2024.011","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-030-67270-6_10","name":"Digital Twin Architecture and Development Trends on Manufacturing Topologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-67270-6_10","authors":["Kendrik Yan Hong Lim","Nam Tuan Le","Nimisha Agarwal","Bao Huy Huynh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-04-03T05:02:52Z","doi":"10.1007/978-3-030-67270-6_10","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/wsc63780.2024.10838855","name":"Data Assimilation for Online Calibration of Simulation Digital Twin - A Case Study With Multiple Model Parameters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838855","authors":["Xiaolin Hu","Mingxi Yan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838855","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_7","name":"How Can Digital Transformation Improve the User Experience?","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_7","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_7","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-61362-3_28","name":"Exploration of the Digital Twin for Prototyping the Product-Service System Design in a Bus Manufacturing Company","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-61362-3_28","authors":["Zhang Yan","Tobias Larsson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-10T07:02:19Z","doi":"10.1007/978-3-031-61362-3_28","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/ispds62779.2024.10667568","name":"Fault Diagnosis Based on Digital Twin Modeling of Bearings","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispds62779.2024.10667568","authors":["Zhenxin Liang","Ziwen Wu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-12T17:43:04Z","doi":"10.1109/ispds62779.2024.10667568","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781394287420.ch16","name":"Cloud‐Based Digital Twinning for Structural Health Monitoring Using Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394287420.ch16","authors":["K. Renugadevi","T. Jayasankar","J. ArputhaVijaya Selvi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T11:06:37Z","doi":"10.1002/9781394287420.ch16","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/globecom52923.2024.10901362","name":"Age-of-Information and Energy Optimization in Digital Twin Edge Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901362","authors":["Yongna Guo","Yaru Fu","Yan Zhang","Tony Q. S. Quek"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901362","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.jmsy.2021.05.015","name":"Digital twin enhanced fault prediction for the autoclave with insufficient data","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2021.05.015","authors":["Yucheng Wang","Fei Tao","Meng Zhang","Lihui Wang","Ying Zuo"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-06-30T19:04:37Z","doi":"10.1016/j.jmsy.2021.05.015","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.rcim.2026.103363","name":"An executable machine-tool-level digital twin for closed-loop CNC milling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rcim.2026.103363","authors":["Yubo Sun","Zhenyu Han","Hongya Fu","Shouzheng Sun","Peng Zhang","Zhigang Cai","Hongyu Jin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-20T21:50:25Z","doi":"10.1016/j.rcim.2026.103363","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s12176-024-1424-x","name":"Braucht die Deutsche Bahn einen Digital  Financial Twin?","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12176-024-1424-x","authors":["Sebastian Westphal"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-28T19:02:50Z","doi":"10.1007/s12176-024-1424-x","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/inista62901.2024.10683845","name":"Leveraging Digital Twin Concepts for Future Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/inista62901.2024.10683845","authors":["Dragos Silion","George-Gabriel Constantinescu","Adrian Iftene"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T17:22:01Z","doi":"10.1109/inista62901.2024.10683845","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.procir.2024.10.155","name":"Approach of an asset combination based on RAMI4.0 for the digital transformation and operation of a Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2024.10.155","authors":["Randolf Schmitt","Christian Borck","Martin Behm","Jacob Böhnke"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-11-27T18:49:29Z","doi":"10.1016/j.procir.2024.10.155","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/incet61516.2024.10593119","name":"Reform and Practice of Material Sorting Training Course Based on Digital Twin Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/incet61516.2024.10593119","authors":["Zhiyuan Gao","Jiaxi Zhao"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-26T17:21:23Z","doi":"10.1109/incet61516.2024.10593119","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/iccea62105.2024.10604078","name":"Research on the application of digital twin technology in air defense system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccea62105.2024.10604078","authors":["Qing-Sheng Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-29T19:06:05Z","doi":"10.1109/iccea62105.2024.10604078","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-030-27477-1_12","name":"Comparison of Digital Twin Development in Manufacturing and Maritime Domains","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27477-1_12","authors":["Nicole Taylor","Carlo Human","Karel Kruger","Anriëtte Bekker","Anton Basson"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-08-02T17:03:04Z","doi":"10.1007/978-3-030-27477-1_12","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1016/j.cirp.2026.04.092","name":"From natural language to RL formulation: a digital twin–centered optimization framework for manufacturing systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cirp.2026.04.092","authors":["Haolin Fan","Bingbing Li","Jiajun Ma","Edward Chow","Jerry Ying Hsi Fuh","Hong-Chao Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-27T11:16:58Z","doi":"10.1016/j.cirp.2026.04.092","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/csitss64042.2024.10816827","name":"Development of Digital Twin Framework for Design of Channapatna Handicraft Toys in the Digital Era","source":"crossref","abstract":"","url":"https://doi.org/10.1109/csitss64042.2024.10816827","authors":["Meghasree V","C K Nagendra Guptha"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-01T19:22:52Z","doi":"10.1109/csitss64042.2024.10816827","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_9","name":"Effective Implementation of Digital Transformation and Change Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_9","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_9","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_11","name":"People are a Crucial Part of Digital Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_11","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_11","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/s10696-024-09543-z","name":"Smart scheduling of hanging workshop via digital twin and deep reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10696-024-09543-z","authors":["Jianguo Pan","Ruirui Zhong","Bingtao Hu","Yixiong Feng","Zhifeng Zhang","Jianrong Tan"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-19T03:01:41Z","doi":"10.1007/s10696-024-09543-z","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/tase.2023.3243147","name":"Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tase.2023.3243147","authors":["Efe C. Balta","Michael Pease","James Moyne","Kira Barton","Dawn M. Tilbury"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-02-22T13:37:04Z","doi":"10.1109/tase.2023.3243147","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.12688/digitaltwin.17718.2","name":"Temperature mapping model of cables considering the coupling of electromagnetic and thermal field","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17718.2","authors":["Xu Hua","Li Wang","Shanshui Yang","Shaojie Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-12-08T12:25:07Z","doi":"10.12688/digitaltwin.17718.2","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1007/978-3-031-51071-7_10","name":"Choosing the Right Business Partner for Digital Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-51071-7_10","authors":["Luka Kozamernik"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-03-31T07:01:39Z","doi":"10.1007/978-3-031-51071-7_10","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1002/9781394303564.ch23","name":"Blockchain–Artificial Intelligence‐Based Secured Solutions for Smart Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303564.ch23","authors":["Amit Kumar Tyagi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-10T12:19:44Z","doi":"10.1002/9781394303564.ch23","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icmtim58873.2023.10246544","name":"A digital twin model of hot rolling process based on CGAN","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmtim58873.2023.10246544","authors":["Tianru Jiang","Zhimin Lv","Nan Zhang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-09-15T17:31:25Z","doi":"10.1109/icmtim58873.2023.10246544","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/cyberscitech64112.2024.00072","name":"Analysis of Business Model of Co-Creation Digital-Twin City Using Evolutionary Game","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cyberscitech64112.2024.00072","authors":["Kaito Kondo","Noriaki Kamiyama"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-12-19T19:16:59Z","doi":"10.1109/cyberscitech64112.2024.00072","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/fuzz-ieee60900.2024.10611981","name":"Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators","source":"crossref","abstract":"","url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611981","authors":["Jiaqi Wen","Bogdan Gabrys","Katarzyna Musial"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-05T17:28:08Z","doi":"10.1109/fuzz-ieee60900.2024.10611981","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1093/ips/olae022","name":"When the World Is an Object: On the Governmental Promise of a Digital Twin Earth","source":"crossref","abstract":"Abstract A growing body of literature studies how expert practices constitute issues such as climate change, migration, or public health as international objects of expertise. The article contributes to this research agenda by highlighting the role of digital visual technologies and infrastructures in the constitution and governance of these international objects. It develops the concept of visual objects and uses it to trace and explain the emergence of a new technological initiative conducted by the European Space Agency (ESA) and the EU: the vision of a ‘digital twin Earth’ (DTE). The idea behind the DTE is to combine various technologies, including satellite Earth observation, advanced computer models, and AI, to build a digital replica of our planet and thereby govern risks emanating from environmental changes and other global challenges. The article provides a first analysis of the international politics of the DTE. It shows how the visual object of the DTE functions as an attractor of heterogeneous actors and practices involved in the European space policy field thereby temporarily stabilizing this complex assemblage. Finally, it traces how the DTE and its machinic ways of seeing enact the Earth not only as an object of knowledge but also as one of experimentation and intervention.","url":"https://doi.org/10.1093/ips/olae022","authors":["Delf Rothe"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-06-27T17:54:15Z","doi":"10.1093/ips/olae022","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icaice63571.2024.10864304","name":"The Digital Twin Approach to Fusion Igniter Performance Based on Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaice63571.2024.10864304","authors":["Pan Liu"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-06T18:31:48Z","doi":"10.1109/icaice63571.2024.10864304","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/csr61664.2024.10679442","name":"Toward a Unified Security Framework for Digital Twin Architectures","source":"crossref","abstract":"","url":"https://doi.org/10.1109/csr61664.2024.10679442","authors":["Sani M. Abdullahi","Sanja Lazarova-Molnar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-09-24T17:21:51Z","doi":"10.1109/csr61664.2024.10679442","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"doi:10.1109/icce59016.2024.10444260","name":"Spatial Crowdsensing for Self-Growing Digital Twin to Realize City as a Service","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce59016.2024.10444260","authors":["Takumi Miyoshi","Taku Yamazaki"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-02-28T13:47:20Z","doi":"10.1109/icce59016.2024.10444260","addedAt":"2026-09-01T01:47:45.860Z","updatedAt":"2026-09-01T01:47:45.860Z"},{"id":"oa:W7166703752","name":"The Impact of IoT and Digital Twin Adoption on Waste Reduction in the Textile Industry in Bandung","source":"openalex","abstract":"The textile industry is one of the most important manufacturing sectors in Indonesia; however, it faces significant challenges related to production waste and resource inefficiency. The adoption of Industry 4.0 technologies, particularly the Internet of Things (IoT) and Digital Twin, has emerged as a promising solution for improving operational efficiency and supporting sustainable manufacturing practices. This study aims to analyze the impact of IoT implementation and Digital Twin implementation on waste reduction in the textile industry in Bandung. A quantitative research approach was employed using a survey method involving 75 respondents from textile manufacturing companies. Data were collected through a structured questionnaire measured using a five-point Likert scale and analyzed using SPSS version 25. The analytical techniques included validity and reliability tests, classical assumption tests, multiple linear regression analysis, coefficient of determination analysis, and hypothesis testing. The results indicate that IoT implementation has a positive and significant effect on waste reduction. Similarly, Digital Twin implementation positively and significantly affects waste reduction. Furthermore, the simultaneous test demonstrates that IoT and Digital Twin implementation jointly influence waste reduction. The coefficient of determination (R² = 0.697) indicates that 69.7% of the variation in waste reduction can be explained by the two independent variables. These findings suggest that the integration of IoT and Digital Twin technologies enhances operational visibility, predictive decision-making, and process optimization, thereby reducing production waste in textile manufacturing. The study contributes to the growing literature on Industry 4.0 and provides practical insights for textile companies seeking to improve sustainability and operational efficiency through digital transformation.","url":"https://doi.org/10.58812/wsshs.v4i06.2946","authors":["Dila Padila Nurhasanah","Anton Susilo","Muhamad Ammar Muhtadi"],"tags":["Textile industry","Likert scale","Production (economics)","Sustainability","Reliability (semiconductor)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-26","doi":"https://doi.org/10.58812/wsshs.v4i06.2946","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4389805179","name":"An Integrative Theoretical Framework for Responsible Artificial Intelligence","source":"openalex","abstract":"The rapid integration of Artificial Intelligence (AI) into various sectors has yielded significant benefits, such as enhanced business efficiency and customer satisfaction, while posing challenges, including privacy concerns, algorithmic bias, and threats to autonomy. In response to these multifaceted issues, this study proposes a novel integrative theoretical framework for Responsible AI (RAI), which addresses four key dimensions: technical, sustainable development, responsible innovation management, and legislation. The responsible innovation management and the legal dimensions form the foundational layers of the framework. The first embeds elements like anticipation and reflexivity into corporate culture, and the latter examines AI-specific laws from the European Union and the United States, providing a comparative perspective on legal frameworks governing AI. The study's findings may be helpful for businesses seeking to responsibly integrate AI, developers who focus on creating responsibly compliant AI, and policymakers looking to foster awareness and develop guidelines for RAI.","url":"https://doi.org/10.4018/ijdsgbt.334844","authors":["Ahmad Haidar"],"tags":["Anticipation (artificial intelligence)","Autonomy","Responsible Research and Innovation","Perspective (graphical)","Reflexivity"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-15","doi":"https://doi.org/10.4018/ijdsgbt.334844","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4399042289","name":"Integration Approaches to Model Bioreactor Hydrodynamics and Cellular Kinetics for Advancing Bioprocess Optimisation","source":"openalex","abstract":"Large-scale bioprocesses are increasing globally to cater to the larger market demands for biological products. As fermenter volumes increase, the efficiency of mixing decreases, and environmental gradients become more pronounced compared to smaller scales. Consequently, the cells experience gradients in process parameters, which in turn affects the efficiency and profitability of the process. Computational fluid dynamics (CFD) simulations are being widely embraced for their ability to simulate bioprocess performance, facilitate bioprocess upscaling, downsizing, and process optimisation. Recently, CFD approaches have been integrated with dynamic Cell reaction kinetic (CRK) modelling to generate valuable information about the cellular response to fluctuating hydrodynamic parameters inside large production processes. Such coupled approaches have the potential to facilitate informed decision-making in intelligent biomanufacturing, aligning with the principles of \"Industry 4.0\" concerning digitalisation and automation. In this review, we discuss the benefits of utilising integrated CFD-CRK models and the different approaches to integrating CFD-based bioreactor hydrodynamic models with cellular kinetic models. We also highlight the suitability of different coupling approaches for bioprocess modelling in the purview of associated computational loads.","url":"https://doi.org/10.3390/bioengineering11060546","authors":["V. Singh","Ioscani Jiménez del Val","Jarka Glassey","Fatemeh Kavousi"],"tags":["Bioprocess","Biomanufacturing","Biochemical engineering","Computational fluid dynamics","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-27","doi":"https://doi.org/10.3390/bioengineering11060546","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4415842840","name":"From Silicon to Serum: The Critical Path of Validating Computational Predictions in Modern Vaccinology","source":"openalex","abstract":"Vaccinology has undergone a profound paradigm shift—from traditional empirical discovery to a rational, engineering-based discipline. This transformation is driven by the synergistic and iterative cycle between computational (in silico) prediction and rigorous experimental validation, now the cornerstone of modern, accelerated vaccine development. This review delineates the architecture of this integrated pipeline. We first survey the expanding computational toolbox for vaccine design, spanning immunoinformatics and reverse vaccinology for antigen discovery, AI-driven structure-based engineering of stabilized immunogens, and systems vaccinology for modeling immune dynamics. We then outline the “experimental gauntlet”: a hierarchy of biochemical, cellular, and in vivo preclinical assays that verify computational hypotheses—confirming molecular structures, binding kinetics, immunogenicity, and protective efficacy. The power of this fusion is exemplified by landmark case studies: the structure-guided triumph against Respiratory Syncytial Virus (RSV), the rapid development of COVID-19 mRNA vaccines, the iterative germline-targeting design of HIV immunogens, and the frontier of personalized neoantigen cancer vaccines. Together, these advances demonstrate that the union of predictive computation and empirical validation has moved from promise to proven paradigm. Looking ahead, emerging technologies such as generative AI and immune digital twins are poised to further accelerate this virtuous cycle, transforming vaccinology into a more precise, predictable, and rapid science capable of meeting future global health challenges.","url":"https://doi.org/10.20944/preprints202511.0078.v1","authors":["Yu Zhang","Yusheng Pei","Dejiang Tan","Yingxun Du","Tong Cai","Yuan Zhang","Qing He"],"tags":["Computer science","Data science","Computational biology","Computational model","Reverse vaccinology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-03","doi":"https://doi.org/10.20944/preprints202511.0078.v1","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4392101590","name":"Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends","source":"openalex","abstract":"The primary focus in electrifying the transportation sector should be sustainability. This can be effectively attained through the application of the seven eco-efficiency principles, which constitute the global standard for assessing the sustainability of products. Consequently, this framework should guide the development of current electric vehicle designs. The first section of the present article assesses the alignment of the automotive industry with these sustainability requirements. Results show that even though the electric vehicle promotes the use of cleaner energy resources, it falls short of adhering to the remaining principles. The implementation of advanced models in battery management systems holds great potential to enhance lithium-ion battery systems’ overall performance, increasing the durability of the batteries and their intensity of use. While many studies focus on improving current electric equivalent models, this research delves into the potential applicability of Reduced-Order Model techniques for physics-based models within a battery management systems context to determine the different health, charge, or other estimations. This study sets the baseline for further investigations aimed at enhancing the reduced-order physics-based modeling field. A research line should be aimed at developing advanced and improved cell-state indicators, with enhanced physical insight, for various lithium-ion battery applications.","url":"https://doi.org/10.3390/electronics13050860","authors":["Sergi Obrador Rey","Lluc Canals Casals","Levon Gevorkov","Lázaro Cremades Oliver","Lluís Trilla"],"tags":["Sustainability","Automotive industry","Context (archaeology)","Battery (electricity)","Electric vehicle"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-23","doi":"https://doi.org/10.3390/electronics13050860","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4387161628","name":"Augmented Intelligence","source":"openalex","abstract":"With the resurgence of artificial intelligence (AI) paced primarily by recent advances in machine learning and deep learning, systems engineering is turning to AI to introduce flexibility in the development process, facilitate exploration and search, and enhance team productivity. As importantly, systems engineering is beginning to leverage AI in engineered systems to increase system resilience, safety, and security. More recently, however, AI is beginning to be viewed as a means to augment rather than replace humans. This perspective alters the role of AI from that of autonomous intelligence to one of augmented intelligence (AugI), a conceptualization of AI that emphasizes AI's role in augmenting or amplifying human intelligence rather than replacing it. Inherent in this view is the recognition that AI and human working together can perform certain tasks better than either could alone. To this end, the chapter presents a methodological framework for effectively exploiting AugI in systems engineering as well as in engineered human–machine systems.","url":"https://doi.org/10.1002/9781394203314.ch17","authors":["Azad M. Madni"],"tags":["Artificial intelligence","Computer science","Leverage (statistics)","Human intelligence","Applications of artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-29","doi":"https://doi.org/10.1002/9781394203314.ch17","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4411012562","name":"DEVELOPMENT OF A FOG COMPUTING-BASED REAL-TIME FLOOD PREDICTION AND EARLY WARNING SYSTEM USING MACHINE LEARNING AND REMOTE SENSING DATA","source":"openalex","abstract":"This study introduces a novel, fog computing-based real-time flood prediction and early warning system that integrates advanced machine learning algorithms with remote sensing technologies to address the limitations of traditional flood monitoring infrastructures. Existing systems often struggle with latency, over-reliance on centralized cloud computing, and fragmented data integration, which collectively hinder their effectiveness during critical flood events. To overcome these challenges, this research employed a mixed methods research design, combining quantitative experimentation with qualitative inquiry to comprehensively evaluate the system’s predictive performance, operational resilience, and stakeholder usability. The quantitative component involved the deployment of an optimized wireless sensor network, designed using Low Energy Adaptive Clustering Hierarchy (LEACH) and Particle Swarm Optimization (PSO), to collect real-time hydrological data including rainfall, river levels, and soil moisture. These data streams were fused with high-resolution remote sensing imagery from Sentinel-1 SAR and Sentinel-2 MSI, and processed using advanced machine learning models such as Long Short-Term Memory (LSTM) networks and Random Forest classifiers. The LSTM model achieved high predictive accuracy with an RMSE of 0.38 and NSE of 0.84, while fog computing nodes reduced latency by over 60%, enabling localized, real-time alert dissemination even during internet outages. The qualitative component involved 23 semi-structured interviews with disaster management authorities, field technicians, and community representatives to assess the system’s usability, trustworthiness, and practical challenges. The triangulation of findings confirmed the technical validity, operational reliability, and end-user relevance of the system. By integrating decentralized processing, intelligent forecasting, and human-centered design, this research contributes a scalable, adaptive, and field-tested framework for intelligent flood early warning systems. It holds significant potential for deployment in climate-vulnerable, infrastructure-constrained regions globally, advancing both technological innovation and disaster resilience in the face of increasing hydrometeorological extremes.","url":"https://doi.org/10.63125/6y0qwr92","authors":["Marufa Aziz Khan","Md Abdur Rouf","Niger Sultana","Mst Shamima Akter"],"tags":["Warning system","Flood myth","Computer science","Flood warning","Remote sensing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-03-01","doi":"https://doi.org/10.63125/6y0qwr92","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7147349870","name":"THE IMPACT OF MODERN TECHNOLOGICAL INNOVATIONS ON FOOD SECURITY IN NIGERIA: A CUTTING-EDGE TECHNOLOGY FROM AN AGROPRENEURSHIP PERSPECTIVE","source":"openalex","abstract":"This study empirically examines how modern technological innovations affect food security in Nigerian technology-based farming organizations.The goal of this study is to ascertain the nature of connections between modern technological innovation and food security.It's also aimed at identifying modern technological innovations that guarantee food security and determining their effectiveness and profitability for the food security business.This study used a cross-sectional survey research design to examine a few technology-based and digital-farming organizations in Delta State that were reachable by the study population.From the managers who were the study objects, 60 of the remaining managerial personnel were reported.To assess the data from the respondents, Spearman's rank-order correlation coefficient was used.The findings demonstrated a strong positive connection between food security and modern technological innovations.The study identified the modern technological innovations that guarantees food security such as nanotechnology in agriculture, Artificial Intelligence (AI) in Quality Control, Robotics in Food Processing, The Blockchain Technology and Supply chain management, The Use of Drones in Agriculture, Internet of Things (IoT) in Food Safety, Climate-Resilient Crops, Automated Harvesting using Robot and Post-Harvest Technologies, digital farming, responsible innovation, Vertical Farming, Precision Agriculture, micro-innovation.This study concludes that all the identified modern technological innovations are effective and profitable for the food security business.The study recommends that farmers adopt modern technological innovations to ensure food security and, to a greater extent, sustain the economy.","url":"https://doi.org/10.47278/journal.abr/2026.014","authors":["Ernest Jebolise Chukwuka","Clara Dumebi Moemeke","Ugboh Onyemaechi","Nwaka Rita Nneka","Okpako Abugor Ejaita","Glory Ewere Chukwuka","and Apaokueze Tessy Nkechi"],"tags":["Food security","Business","Technological change","Marketing","Profitability index"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.47278/journal.abr/2026.014","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4294130800","name":"A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning","source":"openalex","abstract":"The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.","url":"https://doi.org/10.3390/bios12090710","authors":["Jose Alberto Arano-Martínez","Claudia Lizbeth Martínez‐González","Ma Isabel Salazar","C. Torres-Torres"],"tags":["Biosensor","Battlefield","Computer science","Identification (biology)","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-09-01","doi":"https://doi.org/10.3390/bios12090710","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7161574287","name":"AUTOMATION SOLUTIONS FOR AUTOMOBILE MANUFACTURING - A DETAILED TECHNICAL REVIEW","source":"openalex","abstract":"The automobile manufacturingindustry is currently undergoing a majortechnological transformation driven by theemergence of Industry 4.0, ArtificialIntelligence (AI), Industrial Internet ofThings (IIoT), Digital Twin technology,autonomous robotics, cloud manufacturing,and advanced data analytics. Traditionalautomotive production systems based onfixed automation and manual supervisionare rapidly evolving into intelligent, selfoptimizing, and highly autonomousmanufacturing ecosystems capable ofachieving improved productivity,flexibility, sustainability, and productquality. The increasing demand for electricvehicles (EVs), mass customization, shorterproduct life cycles, energy-efficientmanufacturing, and zero-defect productionhas further accelerated the adoption ofadvanced automation solutions throughoutthe automotive manufacturing chain [1]-[9], [13]-[16].This review paper presents acomprehensive technical analysis ofmodern automation solutions used acrossdifferent stages of automobilemanufacturing, including raw materialprocurement, material processing,component manufacturing, polymerprocessing, electronics and batterymanufacturing, body-in-white production,surface treatment and painting, powertrainassembly, final vehicle assembly, qualityinspection, and testing and validationsystems. The paper specifically focuses onrecent autonomous and intelligentmanufacturing technologies rather thanconventional automation systems. Keytechnologies discussed include AI-drivenprocess optimization, collaborative robots(cobots), autonomous mobile robots(AMRs), automated guided vehicles(AGVs), machine vision systems,predictive maintenance, reinforcementlearning-based robotics, edge computing,cyber-physical systems, cloud-integratedmanufacturing, and digital twin-enabledsmart factories [4]-[16], [21]-[24].The review also investigates industrialimplementations adopted by leadingautomotive and technology companies suchas Tesla, Toyota, BMW, Hyundai,Mercedes-Benz, Siemens, ABB, FANUC,Bosch, NVIDIA, and RockwellAUTOMATION SOLUTIONS FOR AUTOMOBILEMANUFACTURING - A DETAILED TECHNICAL REVIEWSparsh Saxena4th year StudentDepartment ofMechanicalEngineeringNoida Institute of Engineering andTechnology, Greater NoidaDr. Abhishek Pratap SinghProfessor & Head of DepartmentDepartment ofMechanicalEngineeringNoida Institute of Engineering andTechnology, Greater NoidaTechniques - Sciences - Methodes | ISSN:0299-7258Volume 39 Issue 5 (2026)https://tsmreview.com/Page No:22Automation. Emphasis is given to emergingconcepts including software-definedmanufacturing, industrial metaverseplatforms, AI-powered quality inspection,virtual factory simulation using NVIDIAOmniverse, humanoid robotics, and fullyautonomous manufacturing environments.In addition, the paper examines the role ofautomation in improving sustainabilitythrough optimized energy consumption,waste reduction, intelligent resourcemanagement, and predictive operationalcontrol [5]-[15], [23]-[30].Furthermore, the paper identifies majorchallenges associated with implementingautonomous manufacturing systems,including cybersecurity risks, highinfrastructure costs, workforce adaptation,system integration complexity, and datamanagement issues. Finally, future researchdirections and technological trendsassociated with Industry 5.0, cognitivemanufacturing, generative AI-drivenfactories, and human-centric automationare discussed. This review aims to provideresearchers, engineers, industrialpractitioners, and students with a detailedunderstanding of the latest technologicaladvancements transforming modernautomobile manufacturing into intelligentand autonomous production ecosystems[1], [5], [7], [9], [13], [23], [25], [27]-[30].","url":"https://doi.org/10.5281/zenodo.20264829","authors":["Sparsh Saxena","Dr. Abhishek Pratap Singh"],"tags":["Automation","Manufacturing engineering","Automotive industry","Engineering","Factory (object-oriented programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.20264829","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7156023002","name":"Quality Assurance in Decentralized Manufacturing: A Review of Validation Frameworks for 3D-Printed Personalized Medicines","source":"openalex","abstract":"Background The pharmaceutical industry is in a paradigm shift in which the mass-production model based on one-size-fits-all is being replaced by the patient-centric model that is made possible by three-dimensional printing (3DP) and decentralized manufacturing (DM). Although 3DP enables the personalization of dosage form as never before, the translation of the technology into clinical practice is complicated by the complicated quality assurance (QA) and validation barriers. Purpose: This review critically synthesizes the existing validation frameworks of 3DP personalized medicines with special emphasis on the combination of Process Analytical Technology (PAT), Digital Twins, and the recently implemented UK MHRA 2025 regulatory framework. Methodology: Scopus-indexed literature (20192026) was searched in a PRISMA-compliant systematic search that focused on point-of-care (POC) manufacturing, real-time release testing (RTRT), and data integrity. Core Mechanisms: We consider technical modalities, such as Fused Deposition Modeling (FDM), Semi-Solid Extrusion (SSE), and Selective Laser Sintering (SLS), their respective Critical Process Parameters (CPPs) and Critical Quality Attributes (CQAs). Findings: The review identifies the Hub-and-Spoke model as the most feasible structure of decentralized QA with centralized hubs that address the issue of integrity of the pharma-ink and decentralized spokes that address the issue of process validation. In-line Near-Infrared (NIR) and Raman spectroscopy technologies that enable the real time release of doses are accurate and non-destructive (R 2 = 0.98) and allow real time verification of doses. Moreover, the Digital Twin technology improves three-stage process validation lifecycle, providing predictive maintenance and proactive quality management. Conclusion: To attain sustainable clinical implementation of the 3DP, a radical change toward Quality-by-Design (QbD) and a powerful digital infrastructure is required. In the coming 2026 and beyond, we suggest a roadmap to standardize decentralized validation to achieve the best safety and efficacy of personalized medicines.","url":"https://doi.org/10.5281/zenodo.19824634","authors":["Joardar Bikram","Karmakar Santu","Dalai Sucheta","Kundu Shristi","Chatterjee Poulomi","Chatterjee Ritam","Rudra Sourav","Gazi Anisha","Majumdar Shirsha"],"tags":["Quality assurance","Process (computing)","Personalization","Computer science","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-27","doi":"https://doi.org/10.5281/zenodo.19824634","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4413880552","name":"Recent Advances in Ceramic-Reinforced Aluminum Metal Matrix Composites: A Review","source":"openalex","abstract":"Aluminium metal matrix composites (AMMCs) incorporate aluminium alloys reinforced with fibres (continuous/discontinuous), whiskers, or particulate. These materials were engineered as advanced solutions for demanding sectors including construction, aerospace, automotive, and marine. Micro- and nano-scale reinforcing particles typically enable attainment of exceptional combined properties, including reduced density with ultra-high strength, enhanced fatigue strength, superior creep resistance, high specific strength, and specific stiffness. Microstructural, mechanical, and tribological characterizations were performed, evaluating input parameters like reinforcement weight percentage, applied normal load, sliding speed, and sliding distance. Fabricated nanocomposites underwent tribometer testing to quantify abrasive and erosive wear behaviour. Multiple investigations employed the Taguchi technique with regression modelling. Analysis of variance (ANOVA) assessed the influence of varied test constraints. Applied load constituted the most significant factor affecting the physical/statistical attributes of nanocomposites. Sliding velocity critically governed the coefficient of friction (COF), becoming highly significant for minimizing COF and wear loss. In this review, the reinforcement homogeneity, fractural behaviour, and worn surface morphology of AMMCswere examined.","url":"https://doi.org/10.3390/alloys4030018","authors":["Surendra Kumar Patel","Lei Shi"],"tags":["Composite material","Materials science","Ceramic","Ceramic matrix composite","Aluminium"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-08-30","doi":"https://doi.org/10.3390/alloys4030018","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4377290291","name":"Biofunctionalized CdS Quantum Dots: A Case Study on Nanomaterial Toxicity in the Photocatalytic Wastewater Treatment Process","source":"openalex","abstract":"High Resolution Image Download MS PowerPoint Slide The toxic nature of inorganic nanostructured materials as photocatalysts is often not accounted for in traditional wastewater treatment reactions. Particularly, some inorganic nanomaterials employed as photocatalysts may release secondary pollutants in the form of ionic species that leach out due to photocorrosion. In this context, this work is a proof-of-concept study for exploring the environmental toxicity effect of extremely small-sized nanoparticles (<10 nm) like quantum dots (QDs) that are employed as photocatalysts, and in this study, cadmium sulfide (CdS) QDs are chosen. Typically, CdS is an excellent semiconductor with suitable bandgap and band-edge positions that is attractive for applications in solar cells, photocatalysis, and bioimaging. However, the leaching of toxic cadmium (Cd 2+ ) metal ions due to the poor photocorrosion stability of CdS is a matter of serious concern. Therefore, in this report, a cost-effective strategy is devised for biofunctionalizing the active surface of CdS QDs by employing tea leaf extract, which is expected to hinder photocorrosion and prevent the leaching of toxic Cd 2+ ions. The coating of tea leaf moieties (chlorophyll and polyphenol) over the CdS QDs (referred to hereafter as G-CdS QDs) was confirmed through structural, morphological, and chemical analysis. Moreover, the enhanced visible-light absorption and emission intensity of G-CdS QDs in comparison to that of C-CdS QDs synthesized through a conventional chemical synthesis approach confirmed the presence of chlorophyll/polyphenol coating. Interestingly, the polyphenol/chlorophyll molecules formed a heterojunction with CdS QDs and enabled the G-CdS QDs to exhibit enhanced photocatalytic activity in the degradation of methylene blue dye molecules over C-CdS QDs while effectively preventing photocorrosion as confirmed from cyclic photodegradation studies. Furthermore, detailed toxicity studies were conducted by exposing zebrafish embryos to the as-synthesized CdS QDs for 72 h. Surprisingly, the survival rate of the zebrafish embryos exposed to G-CdS QDs was equal to that of the control, indicating a significant reduction in the leaching of Cd 2+ ions from G-CdS QDs in comparison to C-CdS QDs. The chemical environment of C-CdS and G-CdS before and after the photocatalysis reaction was examined by X-ray photoelectron spectroscopy. These experimental findings prove that biocompatibility and toxicity could be controlled by simply adding tea leaf extract during the synthesis of nanostructured materials, and revisiting green synthesis techniques can be beneficial. Furthermore, repurposing the discarded tea leaves may not only facilitate the control of toxicity of inorganic nanostructured materials but can also help in enhancing global environmental sustainability.","url":"https://doi.org/10.1021/acsomega.3c00496","authors":["Kavitha Shivaji","Kishore Sridharan","D. David Kirubakaran","Jayaramakrishnan Velusamy","Seyedeh Sadrieh Emadian","Satheesh Krishnamurthy","Anitha Devadoss","Sanjay Nagarajan","Santanu Das","Sudhagar Pitchaimuthu"],"tags":["Photocatalysis","Nanomaterials","Quantum dot","Wastewater","Nanotechnology"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-22","doi":"https://doi.org/10.1021/acsomega.3c00496","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7134179857","name":"ЭКОНОМИЧЕСКАЯ СУЩНОСТЬ НАДЕЖНОСТИ ЦИФРОВЫХ СЕРВИСОВ КАК ФАКТОРА РАЗВИТИЯ И КОНКУРЕНТОСПОСОБНОСТИ ТРАНСПОРТНО-ЛОГИСТИЧЕСКИХ УСЛУГ","source":"openalex","abstract":"Цифровая трансформация транспортно-логистических услуг усилила зависимость качества услуг, операционной устойчивости и конкурентоспособности компаний от стабильности цифровой инфраструктуры. В научной литературе надежность цифровых сервисов преимущественно рассматривается в технико-инженерной парадигме, тогда как ее экономическая сущность и механизмы влияния на конкурентные преимущества остаются недостаточно разработанными. Проблема исследования заключается в отсутствии целостной теоретико-методологической модели, раскрывающей трансформацию технической надежности цифровых сервисов в экономическую ценность и устойчивые рыночные позиции транспортно-логистической компании. Целью статьи является разработка концептуальной модели экономической сущности надежности цифровых сервисов как фактора конкурентоспособности транспортно-логистической услуги. Выдвинута гипотеза о многоуровневом влиянии экономической надежности на конкурентоспособность через повышение операционной эффективности, качества обслуживания и стратегического потенциала развития. Методологическую основу исследования составляют категориально-понятийный анализ, структурно-функциональный анализ, анализ каналов влияния и элементы математического моделирования экономических эффектов. Научная новизна заключается в уточнении категории «экономическая надежность цифровых сервисов», разработке многоуровневой модели экономической ценности (операционный, сетевой и стратегический уровни) и формализации каскадной взаимосвязи «надежность – операционная эффективность – качество обслуживания – конкурентоспособность». Результаты исследования позволяют количественно оценивать вклад надежности цифровых сервисов в снижение издержек, формирование сетевых эффектов и укрепление рыночных позиций. Практическая значимость заключается в возможности интеграции показателей надежности в систему стратегического и оперативного управления транспортно-логистическими компаниями. Перспективы дальнейших исследований связаны с эмпирической верификацией предложенной модели. The digital transformation of transport and logistics services has increased the dependence of service quality, operational resilience, and corporate competitiveness on the stability of digital infrastructure. In academic literature, digital service reliability is predominantly examined within a technical and engineering paradigm, whereas its economic nature and the mechanisms through which it influences competitive advantages remain insufficiently developed. The research problem lies in the absence of a comprehensive theoretical and methodological framework explaining how the technical reliability of digital services is transformed into economic value and sustainable market positions for transport and logistics companies. The aim of the paper is to develop a conceptual model of the economic nature of digital service reliability as a factor of competitiveness in transport and logistics services. The study advances the hypothesis that economic reliability exerts a multi-level influence on competitiveness through improvements in operational efficiency, customer service quality, and strategic development potential. The methodological framework is based on conceptual and categorical analysis, structural-functional analysis, analysis of impact channels, and elements of mathematical modeling of economic effects. The scientific novelty consists in clarifying the category of “economic reliability of digital services,” developing a multi-level model of economic value creation (operational, network, and strategic levels), and formalizing a cascading relationship between reliability, operational efficiency, service quality, and competitiveness. The findings enable a quantitative assessment of the contribution of digital service reliability to cost reduction, the formation of network effects, and the strengthening of market positions. The practical significance lies in the possibility of integrating reliability indicators into the strategic and operat","url":"https://doi.org/10.54861/27131211_2026_2_397","authors":["Т.В. Ионова"],"tags":["Digital transformation","Service (business)","Business","Reliability (semiconductor)","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-21","doi":"https://doi.org/10.54861/27131211_2026_2_397","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7161575556","name":"AUTOMATION SOLUTIONS FOR AUTOMOBILE MANUFACTURING - A DETAILED TECHNICAL REVIEW","source":"openalex","abstract":"The automobile manufacturingindustry is currently undergoing a majortechnological transformation driven by theemergence of Industry 4.0, ArtificialIntelligence (AI), Industrial Internet ofThings (IIoT), Digital Twin technology,autonomous robotics, cloud manufacturing,and advanced data analytics. Traditionalautomotive production systems based onfixed automation and manual supervisionare rapidly evolving into intelligent, selfoptimizing, and highly autonomousmanufacturing ecosystems capable ofachieving improved productivity,flexibility, sustainability, and productquality. The increasing demand for electricvehicles (EVs), mass customization, shorterproduct life cycles, energy-efficientmanufacturing, and zero-defect productionhas further accelerated the adoption ofadvanced automation solutions throughoutthe automotive manufacturing chain [1]-[9], [13]-[16].This review paper presents acomprehensive technical analysis ofmodern automation solutions used acrossdifferent stages of automobilemanufacturing, including raw materialprocurement, material processing,component manufacturing, polymerprocessing, electronics and batterymanufacturing, body-in-white production,surface treatment and painting, powertrainassembly, final vehicle assembly, qualityinspection, and testing and validationsystems. The paper specifically focuses onrecent autonomous and intelligentmanufacturing technologies rather thanconventional automation systems. Keytechnologies discussed include AI-drivenprocess optimization, collaborative robots(cobots), autonomous mobile robots(AMRs), automated guided vehicles(AGVs), machine vision systems,predictive maintenance, reinforcementlearning-based robotics, edge computing,cyber-physical systems, cloud-integratedmanufacturing, and digital twin-enabledsmart factories [4]-[16], [21]-[24].The review also investigates industrialimplementations adopted by leadingautomotive and technology companies suchas Tesla, Toyota, BMW, Hyundai,Mercedes-Benz, Siemens, ABB, FANUC,Bosch, NVIDIA, and RockwellAUTOMATION SOLUTIONS FOR AUTOMOBILEMANUFACTURING - A DETAILED TECHNICAL REVIEWSparsh Saxena4th year StudentDepartment ofMechanicalEngineeringNoida Institute of Engineering andTechnology, Greater NoidaDr. Abhishek Pratap SinghProfessor & Head of DepartmentDepartment ofMechanicalEngineeringNoida Institute of Engineering andTechnology, Greater NoidaTechniques - Sciences - Methodes | ISSN:0299-7258Volume 39 Issue 5 (2026)https://tsmreview.com/Page No:22Automation. Emphasis is given to emergingconcepts including software-definedmanufacturing, industrial metaverseplatforms, AI-powered quality inspection,virtual factory simulation using NVIDIAOmniverse, humanoid robotics, and fullyautonomous manufacturing environments.In addition, the paper examines the role ofautomation in improving sustainabilitythrough optimized energy consumption,waste reduction, intelligent resourcemanagement, and predictive operationalcontrol [5]-[15], [23]-[30].Furthermore, the paper identifies majorchallenges associated with implementingautonomous manufacturing systems,including cybersecurity risks, highinfrastructure costs, workforce adaptation,system integration complexity, and datamanagement issues. Finally, future researchdirections and technological trendsassociated with Industry 5.0, cognitivemanufacturing, generative AI-drivenfactories, and human-centric automationare discussed. This review aims to provideresearchers, engineers, industrialpractitioners, and students with a detailedunderstanding of the latest technologicaladvancements transforming modernautomobile manufacturing into intelligentand autonomous production ecosystems[1], [5], [7], [9], [13], [23], [25], [27]-[30].","url":"https://doi.org/10.5281/zenodo.20264828","authors":["Sparsh Saxena","Dr. Abhishek Pratap Singh"],"tags":["Automation","Manufacturing engineering","Automotive industry","Engineering","Factory (object-oriented programming)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5281/zenodo.20264828","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4400060020","name":"Automated structural repair based on continuous carbon fiber reinforced plastic 3D printing and online model reconstruction","source":"openalex","abstract":"Abstract Additive manufacturing of continuous carbon fiber reinforced plastic (CCFRP) has gained increasing prominence in structural repair through material accumulation. However, the repairing process entails laborious preliminary tasks, such as positioning, model reconstruction, and data input. In this article, computer vision is integrated into a CCFRP 3D printing device and a printing path‐selecting strategy is proposed to automate the repair process with accuracy and efficiency. An irregularly damaged structure is placed arbitrarily on the printing platform. Subsequently, the damaged area is extracted by semantic segmentation to construct a 3D model. The printing paths including zig‐zag and contour offset infilling for an irregular damage area are selected, according to the prediction of flexural modulus based on the finite element method. Finally, an in‐situ composite printing is conducted based on coaxial extrusion principle. The results show that the intersection over union (IOU) of regular damaged areas by the applied pyramid scene parsing network (PSPNet) segmentation model is 0.81. Semantic segmentation is more robust than conventional feature extraction based on filtering methods. The appearance of the repaired structure is consistent with that of the surrounding structure. The combination of CV and additive manufacturing technology presents a new way to simplify the repair process and improve repair effects. Highlights An automated repairing system for irregular damaged areas is established. Deep learning for semantic segmentation is integrated into 3D printing. Finite element submodule is introduced to select optimal printing paths. The CCFRP 3D printing is introduced to surface defect repairing.","url":"https://doi.org/10.1002/pc.28723","authors":["Yan Zhang","J. K. Chen","Lei Chen","Dong Gao"],"tags":["Materials science","Composite material","3D printing","Fiber","Fibre-reinforced plastic"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-06-26","doi":"https://doi.org/10.1002/pc.28723","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3043026422","name":"The EU vs US corporate R&D intensity gap: investigating key sectors and firms","source":"openalex","abstract":"Abstract This paper presents a firm-level examination of the European Union (EU) vs US research and development (R&D) intensity differences based on four pictures taken during the time span 2005–2017. It contributes to the literature on the topic by inspecting for the first time which sectors and firms account the most for the aggregate R&D intensity performance of these two economies. Analyzing the top 1250 R&D investors worldwide in four different years, it finds that (i) only few companies within key (for their relative impact on the overall R&D intensity) high-tech sectors determine (positively and negatively) the bulk of the sector’s intensity, (ii) the EU holds a much lower number of both larger and smaller R&D investors than the United States in the key high-tech sectors, and (iii) there is a high heterogeneity in firms’ R&D intensity within such key sectors. These findings are crucial to better understand the aggregate transatlantic corporate R&D intensity gap.","url":"https://doi.org/10.1093/icc/dtab043","authors":["Pietro Moncada-Paternò-Castello","Nicola Grassano"],"tags":["R&D intensity","Intensity (physics)","Key (lock)","European union","Business"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-30","doi":"https://doi.org/10.1093/icc/dtab043","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2884486903","name":"Internet of things: how the electrical grid can be controlled and managed in other dimensions","source":"openalex","abstract":"The ‘Internet of things’ is the ‘new revolution’. During the past decades, there were major changes in the energy industry: the increased implementation of renewable generation, together with a greater use of electronic power elements in the network such as high‐voltage DC links and the use of flexible AC transmission system and new market requirements, introduce new challenges and a need for more intelligent assets monitoring; and additional optimisation with a better balance in the combination of different energy sources and thus guaranteeing the reliability of supply and quality of energy; together with the identification of new business models that allow the integration of new technologies, neutralising cyber threats and ensure an adequate dissemination of knowledge to new generations. Companies are migrating to a more digital model based fundamentally on three pillars: communications, big data and artificial intelligence. The right combination of these three pillars will optimise the operation of the electrical system, reducing costs and polluting emissions, accelerating the adoption of non‐polluting energies and renewable energies, while maximising economic performance and a closer way of interacting with users. The industrial Internet of things (IIoT) has been identified as one of the technologies with most potential impact in the next years.","url":"https://doi.org/10.1049/joe.2018.0194","authors":["Jorge A. Cardenas","David Menéndez"],"tags":["Grid","Computer science","Internet of Things","The Internet","World Wide Web"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-19","doi":"https://doi.org/10.1049/joe.2018.0194","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4402819331","name":"Advanced metal–organic frameworks for superior carbon capture, high-performance energy storage and environmental photocatalysis – a critical review","source":"openalex","abstract":"Metal–organic frameworks (MOFs) have emerged as a transformative class of materials, offering unprecedented versatility in applications ranging from energy storage to environmental remediation and photocatalysis.","url":"https://doi.org/10.1039/d4ta03877k","authors":["Farooq Sher","Anna Hayward","Abdelqader El Guerraf","Bohong Wang","Imane Ziani","Harun Hrnjić","Emina Boškailo","Alexander Chupin","Monica R. Nemțanu"],"tags":["Photocatalysis","Metal-organic framework","Environmental science","Carbon fibers","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1039/d4ta03877k","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2062540291","name":"The development of shear and compression elastic moduli in curing epoxy adhesives measured using non-contact ultrasonic transducers","source":"openalex","abstract":"Thin epoxy resin adhesive samples were ultrasonically measured during cure using normal incidence radially polarized shear wave electromagnetic acoustic transducers (EMATs). Although the EMATs used predominantly generated shear waves (SH) they were designed so that they also generated/detected compression waves allowing the simultaneous measurement of shear and compression wave propagation through a curing polymer in a non-contact regime. The adhesive thickness examined in the experiments was approximately 1 mm, which was optimal for experimental measurement using our apparatus. The epoxy resin systems (rapid cure and a standard cure) described in this paper were supplied in a two-part cartridge form, mixed by injection through a mixing nozzle. Five different samples have been investigated at this stage, and there appears to be a fundamental difference in the way that the elastic moduli develop in the rapid cure and longer cure time epoxies. This can possibly be explained in terms of the reaction kinetics and the development of the structure on a microscopic scale. The rapid cure systems initially develop a shear elastic modulus at a faster rate which suddenly decreases at approximately the same time that the temperature of the adhesive reaches its maximum value during the exothermic reaction. This is consistent with an initial rapid reaction rate which is then greatly reduced as the remaining un-reacted polymer chains require a finite time to move into a position where they can react and join the network.","url":"https://doi.org/10.1088/0022-3727/36/6/319","authors":["S. Dixon","Daniel Llombart Jaques","S.B. Palmer"],"tags":["Materials science","Epoxy","Composite material","Adhesive","Curing (chemistry)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2003-02-27","doi":"https://doi.org/10.1088/0022-3727/36/6/319","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4390470846","name":"Conceptual Framework and Prospective Analysis of EU Tourism Data Spaces","source":"openalex","abstract":"This article delves deeply into the burgeoning field of Tourism Data Spaces (TDS) in Europe, focusing on how technologies like Big Data and IoT are redefining the tourism sector. This technological shift is steering traditional tourist destinations towards smarter, more sustainable models. The study utilizes a multifaceted approach, combining documentary and bibliographical analysis with empirical data from the EU’s DATES project. By employing the Drivers, Pressures, State, Impacts, Responses (DPSIR) model, it provides a nuanced understanding of the dynamics in TDS. The findings underscore TDS’s pivotal role in improving decision-making and personalizing tourism services. The study also acknowledges the growing need for detailed tourism information to enhance travel planning and experience personalization. Furthermore, it highlights the importance of efficient and secure data management in tourism. This comprehensive analysis points to a future where data-driven insights foster more sustainable, tailored travel experiences. Additionally, the research illuminates both the challenges and prospects inherent in implementing TDS, stressing the importance of clear governance, technical standards, and balancing diverse stakeholder interests in the tourism industry. By addressing these challenges, the article posits that TDS can make a significant contribution to the innovation and sustainability of the tourism sector.","url":"https://doi.org/10.3390/su16010371","authors":["Dolores Ordóñez-Martínez","Joana Maria Seguí‐Pons","Maurici Ruiz‐Pérez"],"tags":["Tourism","Sustainability","DPSIR","Stakeholder","Personalization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-31","doi":"https://doi.org/10.3390/su16010371","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160867598","name":"Digital Twins in Agriculture: A Comprehensive Bibliometric Exploration of Applications and Future Trends","source":"openalex","abstract":"This bibliometric study was conducted between September and December, 2025 using data retrieved from the Scopus database, focusing on global research publications related to Digital Twin applications in agriculture. Digital Twin technology has become a key component of Agriculture 4.0, enabling real-time simulation, prediction, and optimization of farming systems through virtual representations of physical environments. As agriculture faces rising food demand, climate variability, labour shortages, and resource constraints, Digital Twins offer significant potential to improve productivity, sustainability, and decision-making. However, research in this area remains fragmented across domains such as IoT, AI, robotics, precision agriculture, and climate-smart practices. Using a structured search strategy and PRISMA screening, 95 eligible articles published between 2019 and 2026 were identified. Bibliometric analysis was performed using the Bibliometrix R package and Biblioshiny interface, covering descriptive indicators, co-authorship and co-citation networks, keyword co-occurrence, and thematic evolution. Results show a fluctuating yet overall increasing publication trend, with a notable rise in 2025. Major publication sources include IEEE Access, Applied Sciences, Sensors, and Smart Agricultural Technology. China, the Netherlands, and the USA are leading contributors, with the Netherlands demonstrating the highest citation impact. Keyword analysis highlights strong emphasis on Digital Twins, IoT, machine learning, embedded systems, and agricultural robotics. Thematic mapping identifies core motor themes and emerging areas such as smart agriculture and climate resilience. Overall, the study consolidates fragmented knowledge, identifies research gaps, and outlines future directions to advance Digital Twin applications for sustainable, data-driven agriculture.","url":"https://doi.org/10.23910/2/2026.6916","authors":["C. Dhivya","R. ArunKumar","A. Thirumal","V. Jayashree","S P Kamali"],"tags":["Thematic map","Data science","Agriculture","Resource (disambiguation)","Thematic analysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.23910/2/2026.6916","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2811266418","name":"Turn-to-turn fault monitoring methods in electrical power transformers-State of the art","source":"openalex","abstract":"Power transformer is a vital component in the power system, and it must be protected against various core and winding faults. Turn-to-turn fault (TTF) is one of the most common faults in transformer that causes catastrophic events such as transformer explosion, winding, or core deformation. Conventional differential relay is a common device for protection of transformer protection, and it can diagnose the severe TTF; however, it fails to detect the TTF at incipient stage. Recently, several methods and techniques have been introduced to improve the differential relay performance against TTFs. These approaches use various quantities such as current/voltage, frequency, and magnetic flux to detect the TTF in transformer winding. This paper reviews and compares various online and offline TTF diagnosis methods. Moreover, the advantages and disadvantages of these methods are discussed in the paper to analyze their performance in different conditions.","url":"https://doi.org/10.1002/etep.2644","authors":["Mohsen Mostafaei","Jawad Faiz","Prasad A. Venikar","Makarand S. Ballal"],"tags":["Transformer","Relay","Delta-wye transformer","Electromagnetic coil","Energy efficient transformer"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-07-04","doi":"https://doi.org/10.1002/etep.2644","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4393950033","name":"Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review","source":"openalex","abstract":"Next-generation cellular technologies, commonly referred to as the sixth generation (6G), are envisioned to support a higher system capacity, better performance, and network sensing capabilities. The terahertz (THz) band is one potential enabler to this end due to the large unused frequency bands and the high spatial resolution enabled by the short signal wavelength and large bandwidth. Different from earlier surveys, this paper presents a comprehensive treatment and technology survey on THz communications and sensing in terms of advantages,","url":"https://doi.org/10.36227/techrxiv.171223999.90625591/v1","authors":["Wei Jiang","Wei Jiang","Qian Zhou","Stepan Melnyk","Shiping Zhou","Muhammad Afnan Habibi","Bin Han","Hans D. Schotten","Marco Di Renzo","F.L. Luo","Victor C. M. Leung","Mérouane Debbah","Markku Juntti","Tarek S. El-Bawab","Jiguang He"],"tags":["Terahertz radiation","Telecommunications","Computer science","Physics","Optoelectronics"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-04","doi":"https://doi.org/10.36227/techrxiv.171223999.90625591/v1","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7127132316","name":"Dynamic plastic deformation delocalization in FCC solid solution metals","source":"openalex","abstract":"Metallic materials undergo irreversible deformation under mechanical loading, leading to intense local plastic localization that reduces their mechanical performance. We identify a mechanism of plastic deformation that dynamically promotes the homogenization of plasticity in face-centered cubic solid solution-strengthened metallic alloys. We observe that this mechanism occurs within a narrow range of stacking fault energies and involves competing deformation between nanoscale twinning and slip. This phenomenon is attributed to a new mechanism referred to as dynamic plastic deformation delocalization, which opens a new design space for enhancing the mechanical performance of metallic materials. We demonstrate that the activation of this mechanism has a significant impact on fatigue properties, greatly enhancing fatigue strength when it occurs.","url":"https://doi.org/10.1038/s41467-026-69046-3","authors":["Dhruv Anjaria","Milan Heczko","Daegun You","Mathieu Calvat","Shuchi Sanandiya","Maik Rajkowski","Aditya Srinivasan Tirunilai","Hüseyin Sehitoglu","Guillaume Laplanche","J. C. Stinville"],"tags":["Materials science","Plasticity","Deformation mechanism","Crystal twinning","Deformation (meteorology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-02","doi":"https://doi.org/10.1038/s41467-026-69046-3","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7163319225","name":"Physics-Informed machine learning for turbulent combustion in aerospace propulsion: bridging physical rigour and data intelligence","source":"openalex","abstract":"Turbulent combustion dictates efficiency, stability, and emissions in gas turbines, scramjets, and rocket engines; however, its multiscale turbulence-chemistry interactions remain difficult to forecast with conventional Reynolds-averaged and large-eddy simulation (LES) frameworks under realistic operational conditions. Although data-driven models offer computational efficiency, their limited physical consistency and inadequate extrapolation capabilities limit their applicability in safety-critical propulsion applications. Physics-informed machine learning (PIML) has emerged as a promising paradigm by embedding governing equations, physical constraints, and conservation laws directly into learning architectures, thereby enabling greater accuracy with reduced data dependence. This review systematically scrutinizes recent advancements in PIML for turbulent reacting flows, encompassing physics-informed neural networks, neural operators, and hybrid physics-data models integrated with Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) solvers. Emphasis is placed on their proficiency to address stiffness, turbulence-chemistry coupling, and multi-fidelity data integration under propulsion-relevant conditions. Key challenges related to data scarcity, scalability, uncertainty quantification, and model interpretability are critically discussed. The review concludes with a forward-looking roadmap accentuating constraint-aware learning, adaptive modelling, and digital twin integration as indispensable for reliable, real-time combustion prediction. These advancements directly bolster sustainable propulsion technologies aligned with UN Sustainable Development Goals 7 and 9, advocating for cleaner energy conversion and innovation-driven aerospace systems.HighlightsPIML bridges physics-based modelling with data-driven intelligence in combustion.Hybrid neural operators improve prediction in turbulent reacting flows.Constraint-preserving learning enhances physical fidelity and scalability.Adaptive sampling accelerates convergence under sparse data conditions.Roadmap proposed for uncertainty-aware, digital-twin-ready PIML frameworks.PIML transforms real-time combustion simulation for next-gen propulsion.","url":"https://doi.org/10.1080/19942060.2026.2678066","authors":["D. Christopher Selvam","Yuvarajan Devarajan","T. Raja","Alok Tiwari","M. Sunil Kumar","Kunal Sharma","Anant Prakash Agrawal","Ansuman Khandual","Kulmani Mehar"],"tags":["Bridging (networking)","Aerospace","Rigour","Engineering","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-03","doi":"https://doi.org/10.1080/19942060.2026.2678066","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4406336888","name":"Prussian Blue and Its Analogues for Commercializing Fast-Charging Sodium/Potassium-Ion Batteries","source":"openalex","abstract":"Fast-charging technology, which reduces charging time and enhances convenience, is attracting attention. Sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs) are emerging as viable alternatives to lithium-ion batteries (LIBs) due to their abundant resources and low cost. However, during fast charging and discharging, the crystal structures of cathode materials in SIBs/PIBs can be damaged, negatively impacting their performance, lifespan, and capacity. To address this, there is a need to explore electrode materials with ultrahigh rate capabilities. Prussian Blue and its analogues (PB and PBAs) have shown great potential as cathode materials for both SIBs and PIBs due to their unique structures and excellent electrochemical properties. This Review examines the use of PBAs in SIBs and PIBs, focusing on the fast-charging (rate) performance and commercialization potential. Through systematic analysis and discussion, we hope to provide practical guidance for developing fast-charging SIBs and PIBs, contributing to the advancement and widespread adoption of green energy technologies.","url":"https://doi.org/10.1021/acsenergylett.4c02915","authors":["Ping Hong","Changfan Xu","Chengzhan Yan","Yulian Dong","Huaping Zhao","Yong Lei"],"tags":["Prussian blue","Potassium","Sodium","Ion","Chemistry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-13","doi":"https://doi.org/10.1021/acsenergylett.4c02915","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4313547085","name":"Hybrid Power Systems in Multi-Rotor UAVs: A Scientific Research and Industrial Production Perspective","source":"openalex","abstract":"This study is conducted in the context of two significant challenges facing Unmanned Aerial Vehicle (UAV) technologies. These challenges are limited flight duration and payload, which have a direct impact on the performance and areas of application. The Hybrid Power System (HPS) has a prominent role in overcoming these challenges with a view to expanding the application fields of UAVs to include further areas such as air taxis and air ambulance services. This work first presents a systematic review of the scientific contributions in the past two decades with the aim of exploring the existing design approaches for HPSs in multi-rotor UAVs. To do this, a Systematic Literature Review (SLR) has been done. The selected articles have been reviewed, analyzed, evaluated, and then classified according to the scope of the study, research trends, design methodologies, main findings/shortcomings, and future work. Retrieved data shows that the Internal Combustion Engine (ICE) and the Proportional-Integral-Derivative (PID) controller were most commonly used. Fuel Cells (FCs) still need more research and experiments to overcome practical constraints, while solar-powered UAVs require more surface areas to absorb large amounts of solar radiation. To keep up-to-date with technological advances in this area, this research also surveys, analyzes, and discusses the available commercial models of HPS that can be used in UAVs along with some examples of hybrid-powered UAVs. The intended goal of this paper is to stimulate and help researchers and those interested in the challenges of electric UAVs and guide them to develop this field more efficiently from an industrial/scientific perspective.","url":"https://doi.org/10.1109/access.2022.3232958","authors":["Eiad Saif","İlyas Eminoğlu"],"tags":["Payload (computing)","Context (archaeology)","Computer science","Scope (computer science)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-28","doi":"https://doi.org/10.1109/access.2022.3232958","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4416231836","name":"AI-Enabled Generative Design of Immune Cells and Receptors for Programmable Immunity","source":"openalex","abstract":"Recent advances in generative artificial intelligence have begun to redefine the practice of cell and immune engineering. By learning the statistical and structural grammar of biological systems, generative models can now design T-cell receptors, chimeric antigen receptors, and synthetic immune circuits that meet complex objectives of affinity, stability, and specificity. When integrated into automated design–build–test–learn pipelines, these models enable continuous cycles of hypothesis generation, experimental validation, and model refinement, creating a closed feedback loop between computation and biology. This review examines how AI-driven generative design is transforming immunoengineering across multiple scales, from molecular recognition to cellular phenotype and clinical translation. It discusses the foundational architectures that support generative modeling in biology, the emergence of adaptive biofoundries that link digital design to manufacturing, and the translational pathways through which programmable immune cells may enter clinical practice. The review also explores the ethical and regulatory dimensions of algorithmic biology, emphasizing the need for transparency, equitable access, and anticipatory governance. Together, these developments signal the rise of a new paradigm, programmable immunity, in which biological design, therapeutic discovery, and ethical responsibility evolve within a single, intelligent framework.","url":"https://doi.org/10.69709/ctec.2026.126651","authors":["Ola A Al Ewaidat","Moawiah M. Naffaa"],"tags":["Generative grammar","Computer science","Generative model","Artificial intelligence","Immune system"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.69709/ctec.2026.126651","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160892321","name":"AI-Enhanced Additive Manufacturing for Bone Tissue Engineering: From PLA/Hydroxyapatite Composites to PEEK Implants","source":"openalex","abstract":"Abstract Bone tissue engineering demands biomimetic scaffolds that replicate the hierarchical architecture, mechanical integrity, and bioactivity of native osseous tissue. Additive manufacturing (AM) enables patient-specific scaffold fabrication, yet conventional approaches remain limited by suboptimal material formulations, unpredictable microstructures, and energy-intensive post-processing. This review synthesises 2019–2026 evidence on artificial intelligence (AI)-enhanced AM for bone regeneration, examining polylactic acid (PLA)/hydroxyapatite (HAp) composites, polyether-ether-ketone (PEEK)-based implants, and graphene-reinforced matrices. We analyse machine learning frameworks—including XGBoost, AdaBoost, and deep learning—that predict mechanical properties, optimise porosity, and control degradation kinetics. Post-processing innovations such as laser polishing reduce surface roughness by 66.7 % and improve fatigue resistance by 50 %. Digital twin technology extends these capabilities into predictive surgical planning, rehabilitation monitoring, and disability care. Sustainability frameworks encompassing life cycle assessment, health-informed process safety, and equity-centred supply chain governance are evaluated. Drawing on 100 peer-reviewed sources, we propose an integrated workflow linking AI-driven design, sustainable fabrication, and clinical validation. Without deliberate attention to algorithmic bias, energy sourcing, and regulatory harmonisation, AI-AM bone scaffolds risk perpetuating inequities in global orthopaedic care. Keywords: bone tissue engineering, additive manufacturing, artificial intelligence, machine learning, PLA, hydroxyapatite, PEEK, graphene oxide, laser polishing, digital twin, scaffold design, orthopaedic implants, sustainability","url":"https://doi.org/10.5281/zenodo.20108107","authors":["Oluwakemi Jumoke Bello, Raphael Igbarumah Ayo Daniel, Olabanke Florence Olawuyi, Babajide David Makanjuola and Claret Chinenyenwa Analikwu"],"tags":["Peek","Scaffold","Materials science","Sustainability","Workflow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-10","doi":"https://doi.org/10.5281/zenodo.20108107","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7134194100","name":"Development of a Digital Twin for Robotic Inspection Using Computer Vision and Machine Learning","source":"openalex","abstract":"This article reveals the creation and execution of a digital twin (DT) for the robotic inspection system of mechanical parts, applying the machine vision method. The examination is carried out on the KUKA iiwa robot that has a camera for the purpose of identifying and sorting the parts that are positioned on the work area. A vision system based on a YOLO convolutional neural network (CNN) was utilized for the tasks of object detection and classification. The dataset was automatically created via the use of 3D CAD models along with domain randomization to mitigate the risk of overfitting. The simulation environment was set up in IsaacSim, and the vision system was interfaced through ROS Noetic with hand-eye calibration also included. The performance of the YOLO network evidenced an overall precision of 94.8% and recall of 87.7% in the test dataset indicating the parts' effective detection and classification. The research underlines the convergence of simulation, deep learning, robotics, and the potential for automated inspections in manufacturing sectors.","url":"https://doi.org/10.1051/epjconf/202635403005/pdf","authors":["P.V. Pramila","R. Jothilakshmi","K. R. Senthil Kumar","B. Revathi","A. Kistan","Bhavya Lingampalli"],"tags":["Artificial intelligence","Machine vision","Convolutional neural network","Computer science","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-02","doi":"https://doi.org/10.1051/epjconf/202635403005/pdf","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7203827262","name":"Smart Factories, Smarter Research: A Critical Review of Manufacturing 4.0 Technologies, Sustainability, and the Road to Industry 5.0","source":"openalex","abstract":"Industry 4.0 has produced one of the fastest-growing bodies of engineering and management research; much of this output remains siloed by technology domain. This study addresses that fragmentation through a structured critical review (a review-of-reviews), synthesising 70 peer-reviewed review articles and foundational sources (2003–2026) spanning 14 technology domains. The review introduces the I4.0-STS framework, an original four-layer structure organising evidence across physical, cyber, cognitive, and socio-organisational dimensions. Five principal findings emerge. The physical and cyber layers show consistent evidence of maturity. Industry-reported lighthouse IIoT deployments show 20–30% energy and up to 39% lead-time reductions. AI-driven predictive maintenance shows 30–50% unplanned-downtime reductions. The cognitive layer (LLM-augmented digital twins and generative AI interfaces) is technically feasible but outpaces its governance frameworks. Cybersecurity remains insufficiently governed, with documented ransomware incidents in manufacturing OT environments underscoring the risks of OT–IT convergence. SME adoption and developing-economy manufacturing transformation remain comparatively under-addressed. Finally, 12 research gaps are assessed as of June 2026, five rated Open, with future research directions proposed for each, framed against the emerging Industry 5.0 agenda. All findings are second-order interpretations from the source reviews, and their limitations are stated explicitly.","url":"https://doi.org/10.3390/jmmp10080308","authors":["A.S.G. Alghamdi"],"tags":["Corporate governance","Industry 4.0","Business","Engineering","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-20","doi":"https://doi.org/10.3390/jmmp10080308","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4376312186","name":"Full-Spectrum Wireless Communications for 6G and Beyond: From Microwave, Millimeter-Wave, Terahertz to Lightwave","source":"openalex","abstract":"As of today, 5G is rolling out across the world, but academia and industry have shifted their attention to the sixth generation (6G) cellular technology for a full-digitalized, intelligent society in 2030 and beyond. 6G demands far more bandwidth to support extreme performance, exacerbating the problem of spectrum shortage in mobile communications. In this context, this paper proposes a novel concept coined Full-Spectrum Wireless Communications (FSWC). It makes use of all communication-feasible spectral resources over the whole electromagnetic (EW) spectrum, from microwave, millimeter wave, terahertz (THz), infrared light, visible light, to ultraviolet light. FSWC not only provides sufficient bandwidth but also enables new paradigms taking advantage of peculiarities on different EW bands. This paper will define FSWC, justify its necessity for 6G, and then discuss the opportunities and challenges of exploiting THz and optical bands.","url":"https://doi.org/10.48550/arxiv.2305.06672","authors":["Wei Jiang","Hans D. Schotten"],"tags":["Terahertz radiation","Wireless","Extremely high frequency","Bandwidth (computing)","Electromagnetic spectrum"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-11","doi":"https://doi.org/10.48550/arxiv.2305.06672","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4392236335","name":"Valorization of textile waste: non-woven structures and composites","source":"openalex","abstract":"Each year, millions of tons of clothing are both produced and discarded, exerting a substantial impact on the environment and public health. Even when textile waste is disposed of in landfills, it persistently adds to pollution in the air, water, and soil. This review explores the diverse implications of textile waste, examining circular economy principles and highlighting opportunities for transforming textile waste into eco-friendly materials. This review highlights opportunities to repurpose textile waste into new products, aligning with the principles of a circular economy. The discussed materials, such as cotton, wool, polyester, nylon, and kevlar, can be utilized in various industries, including construction, non-woven, furniture, carpet, agriculture, and paper. The alternative materials presented offer excellent mechanical, thermal, and acoustic properties, providing sustainable alternatives in applications ranging from civil construction to insulation and structure reinforcement, minimizing environmental impact. Green material alternatives enhance cost-effectiveness in constructing eco-friendly buildings, reducing the need for extracting new raw materials and minimizing the carbon footprint. It is expected that research on opportunities for recovering textile waste will soon intensify, leading to the implementation of these new eco-friendly products.","url":"https://doi.org/10.3389/fenvs.2024.1365162","authors":["Diana I. Alves","Mariana P. Barreiros","Raúl Fangueiro","Diana P. Ferreira"],"tags":["Textile","Composite material","Materials science","Woven fabric"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-27","doi":"https://doi.org/10.3389/fenvs.2024.1365162","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3175047946","name":"How Smart is the Grid?","source":"openalex","abstract":"Ancient Romans called urbs the set of buildings and infrastructures, and civitas the Roman citizens. Today instead, while the society is surfing the digital tsunami, urbs and civitas tend to become much closer, almost merging, that we might attempt to condensate these into a single concept: smart grid. Internet of things, artificial intelligence, blockchain, and quantum cryptography are only a few of the technologies that are likely to contribute to determining the final portrait of the future smart grid. However, to understand the effective sustainability of complex grids, specific tools are required. To this end, in this article, a new taxonomic framework has been developed starting from a general analysis of the emerging solutions, identifying intersectoral synergies and limitations with respect to the ‘smart grid’ concept. Finally, from the scenario portrayed, a set of issues involving engineering, regulation, security, and social frameworks have been derived in a theoretical fashion. The findings are likely to suggest the urgent need for multidisciplinary cooperation to address engineering and ontological challenges gravitating around the smart grid concept.","url":"https://doi.org/10.3389/fenrg.2021.637447","authors":["Ermanno Lo Cascio","Zhenjun Ma","Luc Girardin","François Maréchal"],"tags":["Smart grid","Set (abstract data type)","Multidisciplinary approach","Computer science","Grid"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2021-06-24","doi":"https://doi.org/10.3389/fenrg.2021.637447","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4388733615","name":"Connecting the dots towards precision orthodontics","source":"openalex","abstract":"Precision orthodontics entails the use of personalized clinical, biological, social and environmental knowledge of each patient for deep individualized clinical phenotyping and diagnosis combined with the delivery of care using advanced customized devices, technologies and biologics. From its historical origins as a mechanotherapy and materials driven profession, the most recent advances in orthodontics in the past three decades have been propelled by technological innovations including volumetric and surface 3D imaging and printing, advances in software that facilitate the derivation of diagnostic details, enhanced personalization of treatment plans and fabrication of custom appliances. Still, the use of these diagnostic and therapeutic technologies is largely phenotype driven, focusing mainly on facial/skeletal morphology and tooth positions. Future advances in orthodontics will involve comprehensive understanding of an individual's biology through omics, a field of biology that involves large-scale rapid analyses of DNA, mRNA, proteins and other biological regulators from a cell, tissue or organism. Such understanding will define individual biological attributes that will impact diagnosis, treatment decisions, risk assessment and prognostics of therapy. Equally important are the advances in artificial intelligence (AI) and machine learning, and its applications in orthodontics. AI is already being used to perform validation of approaches for diagnostic purposes such as landmark identification, cephalometric tracings, diagnosis of pathologies and facial phenotyping from radiographs and/or photographs. Other areas for future discoveries and utilization of AI will include clinical decision support, precision orthodontics, payer decisions and risk prediction. The synergies between deep 3D phenotyping and advances in materials, omics and AI will propel the technological and omics era towards achieving the goal of delivering optimized and predictable precision orthodontics.","url":"https://doi.org/10.1111/ocr.12725","authors":["Sunil Kapila","Siddharth R Vora","Shankar Rengasamy Venugopalan","Mohammed H. Elnagar","Sercan Akyalçın"],"tags":["Identification (biology)","Personalization","Computer science","Precision medicine","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-15","doi":"https://doi.org/10.1111/ocr.12725","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160939244","name":"AI-Enhanced Additive Manufacturing for Bone Tissue Engineering: From PLA/Hydroxyapatite Composites to PEEK Implants","source":"openalex","abstract":"Abstract Bone tissue engineering demands biomimetic scaffolds that replicate the hierarchical architecture, mechanical integrity, and bioactivity of native osseous tissue. Additive manufacturing (AM) enables patient-specific scaffold fabrication, yet conventional approaches remain limited by suboptimal material formulations, unpredictable microstructures, and energy-intensive post-processing. This review synthesises 2019–2026 evidence on artificial intelligence (AI)-enhanced AM for bone regeneration, examining polylactic acid (PLA)/hydroxyapatite (HAp) composites, polyether-ether-ketone (PEEK)-based implants, and graphene-reinforced matrices. We analyse machine learning frameworks—including XGBoost, AdaBoost, and deep learning—that predict mechanical properties, optimise porosity, and control degradation kinetics. Post-processing innovations such as laser polishing reduce surface roughness by 66.7 % and improve fatigue resistance by 50 %. Digital twin technology extends these capabilities into predictive surgical planning, rehabilitation monitoring, and disability care. Sustainability frameworks encompassing life cycle assessment, health-informed process safety, and equity-centred supply chain governance are evaluated. Drawing on 100 peer-reviewed sources, we propose an integrated workflow linking AI-driven design, sustainable fabrication, and clinical validation. Without deliberate attention to algorithmic bias, energy sourcing, and regulatory harmonisation, AI-AM bone scaffolds risk perpetuating inequities in global orthopaedic care. Keywords: bone tissue engineering, additive manufacturing, artificial intelligence, machine learning, PLA, hydroxyapatite, PEEK, graphene oxide, laser polishing, digital twin, scaffold design, orthopaedic implants, sustainability","url":"https://doi.org/10.5281/zenodo.20108108","authors":["Oluwakemi Jumoke Bello, Raphael Igbarumah Ayo Daniel, Olabanke Florence Olawuyi, Babajide David Makanjuola and Claret Chinenyenwa Analikwu"],"tags":["Peek","Scaffold","Materials science","Sustainability","Workflow"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-10","doi":"https://doi.org/10.5281/zenodo.20108108","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4393210061","name":"Embracing the quantum frontier: Investigating quantum communication, cryptography, applications and future directions","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jii.2024.100594","authors":["Vatsal Vasani","Kumar Prateek","Ruhul Amin","Soumyadev Maity","Ashutosh Dhar Dwivedi"],"tags":["Quantum cryptography","Quantum information science","Quantum computer","Computer science","Quantum network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-22","doi":"https://doi.org/10.1016/j.jii.2024.100594","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7125561893","name":"Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications","source":"openalex","abstract":"Modern engineering systems require reliable and timely Fault Detection and Diagnosis (FDD) to ensure operational safety and resilience. Traditional model-based and rule-based approaches, although interpretable, exhibit limited scalability and adaptability in complex, data-intensive environments. This survey provides a systematic overview of recent studies exploring Machine Learning (ML) and Artificial Intelligence (AI) techniques for FDD across industrial, energy, Cyber-Physical Systems (CPS)/Internet of Things (IoT), and cybersecurity domains. Deep architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and Graph Neural Networks (GNNs) are compared with unsupervised, hybrid, and physics-informed frameworks, emphasizing their respective strengths in adaptability, robustness, and interpretability. Quantitative synthesis and radar-based assessments suggest that AI-driven FDD approaches offer increased adaptability, scalability, and early fault detection capabilities compared to classical methods, while also introducing new challenges related to interpretability, robustness, and deployment. Emerging research directions include the development of foundation and multimodal models, federated learning (FL), and privacy-preserving learning, as well as physics-guided trustworthy AI. These trends indicate a paradigm shift toward self-adaptive, interpretable, and collaborative FDD systems capable of sustaining reliability, transparency, and autonomy across critical infrastructures.","url":"https://doi.org/10.3390/electronics15020476","authors":["Davide Paolini","Pierpaolo Dini","Abdussalam Elhanashi","Sergio Saponara"],"tags":["Artificial intelligence","Computer science","Scalability","Deep learning","Machine learning"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-22","doi":"https://doi.org/10.3390/electronics15020476","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4313361637","name":"Saudi Arabia’s NEOM Project as a Testing Ground for Economically Feasible Planned Cities: Case Study","source":"openalex","abstract":"The objective of this case study was to examine how the planned city of NEOM in Saudi Arabia can contribute to the country’s economy and sustainability goals. The case study was intended to assess the challenges of planned city projects through the lens of the potential benefits to the host country’s economy. Using data from the project’s official website and relevant publications, it became possible to assess the risk management in urban megaprojects and to explore the issue of sustainable urbanization in the context of NEOM. In order to analyze the data, content analysis and thematic analysis techniques were used which allowed for the identification of patterns and trends in the data and to draw conclusions about the potential contributions of NEOM to Saudi Arabia’s economy and sustainability goals. The findings suggest that NEOM, which aims to be a net-zero carbon city, has attracted significant partners and investors interested in testing renewable energy technologies and infrastructure. The viability of NEOM as a testing ground for sustainable planned cities and their impact on the host country will depend on the ability to effectively balance the potential economic benefits with the risks and costs associated with the project. This study’s results indicate that NEOM represents an opportunity for Saudi Arabia to rebrand its image and participate in the creation of a green future, but its success will depend on fulfilling the investment requirements and managing the project-related challenges.","url":"https://doi.org/10.3390/su15010608","authors":["Nadia Yusuf","Dareen Abdulmohsen"],"tags":["Sustainability","Context (archaeology)","Business","Urbanization","Investment (military)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-12-29","doi":"https://doi.org/10.3390/su15010608","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160083762","name":"Supply Chain Management Research in the MENA Region (2000–2025): A PRISMA-Guided Systematic Review of Theories, Themes, and Research Gaps","source":"openalex","abstract":"Background: Supply chain management (SCM) research has expanded across the Middle East and North Africa (MENA), yet the field remains fragmented. Limited synthesis exists on how regional conditions shape research themes, theories, and methods. Methods: This study applies the PRISMA 2020 protocol to review SCM articles indexed in Scopus and Web of Science from January 2000 to March 2025. After screening and eligibility assessment, 512 peer-reviewed studies were retained. Bibliometric mapping and thematic coding were used to identify publication trends, research streams, theoretical lenses, and methodological patterns. Results: SCM research increased sharply after 2015, reflecting national diversification agendas, logistics reform, digitalization, and exposure to global supply chain disruptions. Three dominant streams were identified: resilience, sustainability, and digital transformation. Research output is concentrated in Saudi Arabia and the United Arab Emirates, while cross-country comparative studies remain scarce. Empirical studies rely mainly on cross-sectional surveys and SEM-based analysis, with limited longitudinal, qualitative, mixed-method, and comparative work across the region. Conclusions: The study develops an integrative SCM capability framework linking regional structural conditions, capability development, and supply chain outcomes. The findings support managers and policymakers seeking resilient, sustainable, and digitally enabled supply chains, and define clear future research priorities for the MENA region.","url":"https://doi.org/10.3390/logistics10050105","authors":["Sara Elzarka","Islam El-Nakib"],"tags":["Supply chain","Scopus","Business","Diversification (marketing strategy)","Supply chain management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-01","doi":"https://doi.org/10.3390/logistics10050105","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4413273128","name":"Metaverse and Consumer Behavior: A Systematic Literature Review and Future Research Agenda","source":"openalex","abstract":"ABSTRACT The rapid development of metaverse technologies is poised to transform consumer behavior and marketing strategies, yet empirical research on this topic remains limited. To fill this gap, the study aimed to systematically explore the existing academic research on the metaverse's influence on consumer behavior in the broader management context. Utilizing the SPAR‐4‐SLR protocol, 48 eligible articles were assessed and selected based on inclusion criteria focusing on studies examining the influence of the metaverse and providing empirical (quantitative or qualitative) evidence. Additionally, the Theory‐Context‐Characteristics‐Methods (TCCM) framework was employed to comprehensively analyze existing studies. The review identified key trends, theories, and methodological approaches used in metaverse research. Our findings revealed a significant lack of empirical studies and highlighted the need to integrate metaverse technologies more effectively into consumer behavior research. The study also offers specific insights into the influence of immersive experiences, technological acceptance, and interaction patterns on consumer behavior. By highlighting these research gaps and proposing a future research agenda that includes diverse contexts and methodologies, this paper provides a comprehensive roadmap for advancing metaverse and consumer behavior research. This study contributes to both consumer behavior and metaverse literature by offering actionable directions for future research and enhancing understanding in this emerging field.","url":"https://doi.org/10.1111/ijcs.70097","authors":["Chin‐Ching Yin","K.-A. Do"],"tags":["Metaverse","Context (archaeology)","Consumer behaviour","Empirical research","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-07-01","doi":"https://doi.org/10.1111/ijcs.70097","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4405516835","name":"In-line tempering eliminates the domain boundary in perovskite single crystals for high–energy resolution ionizing radiation detectors","source":"openalex","abstract":"Metal halide perovskite single crystals (SCs) emerge as a promising candidate for ionizing radiation detection. The realization of top-performing radiation detectors typically relies on careful crystal selection from broad candidate groups, as residual strain remains unavoidable during the SC growth process, which often leads to the formation of ferroelastic domains with varied orientations. Here, we introduce an in-line tempering strategy to alleviate microstrain and homogenize the domain orientation across methylammonium lead iodide (MAPbI 3 ) perovskite SCs. The progressive strain relief during the phase transition in situ, demonstrated by the removal of ferroelastic domain walls, substantially enhances the crystallinity and the optoelectronic properties of the MAPbI 3 SCs. As a result, the gamma-ray energy spectrum detector leveraging these strain-relaxed SCs achieves an energy resolution of 7.2% at 59.5 keV for a 241 Am gamma-ray source, and the 25-pixel device performs highly uniformly with concentrated current distribution, which paves the way for its implementation in high-resolution radiation spectroscopy.","url":"https://doi.org/10.1126/sciadv.adq6866","authors":["Xueying Yang","Yilong Song","Lixiang Wang","Yuan Sun","Bowen Jin","Jing Wang","Hui Liu","Yujie Yang","Qianqian Lin","Yanjun Fang","Qingfeng Dong"],"tags":["Materials science","Perovskite (structure)","Optoelectronics","Ionizing radiation","Radiation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-12-18","doi":"https://doi.org/10.1126/sciadv.adq6866","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7133198849","name":"Development of a Digital Twin for Robotic Inspection Using Computer Vision and Machine Learning","source":"openalex","abstract":"This article reveals the creation and execution of a digital twin (DT) for the robotic inspection system of mechanical parts, applying the machine vision method. The examination is carried out on the KUKA iiwa robot that has a camera for the purpose of identifying and sorting the parts that are positioned on the work area. A vision system based on a YOLO convolutional neural network (CNN) was utilized for the tasks of object detection and classification. The dataset was automatically created via the use of 3D CAD models along with domain randomization to mitigate the risk of overfitting. The simulation environment was set up in IsaacSim, and the vision system was interfaced through ROS Noetic with hand-eye calibration also included. The performance of the YOLO network evidenced an overall precision of 94.8% and recall of 87.7% in the test dataset indicating the parts' effective detection and classification. The research underlines the convergence of simulation, deep learning, robotics, and the potential for automated inspections in manufacturing sectors.","url":"https://doi.org/10.1051/epjconf/202635403005","authors":["P.V. Pramila","R. Jothilakshmi","K. R. Senthil Kumar","B. Revathi","A. Kistan","Bhavya Lingampalli"],"tags":["Artificial intelligence","Convolutional neural network","Machine vision","Computer science","Domain (mathematical analysis)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1051/epjconf/202635403005","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4220967392","name":"Subiculum–BNST structural connectivity in humans and macaques","source":"openalex","abstract":"Invasive tract-tracing studies in rodents implicate a direct connection between the subiculum and bed nucleus of the stria terminalis (BNST) as a key component of neural pathways mediating hippocampal regulation of the Hypothalamic-Pituitary-Adrenal (HPA) axis. A clear characterisation of the connections linking the subiculum and BNST in humans and non-human primates is lacking. To address this, we first delineated the projections from the subiculum to the BNST using anterograde tracers injected into macaque monkeys, revealing evidence for a monosynaptic subiculum-BNST projection involving the fornix. Second, we used in vivo diffusion MRI tractography in macaques and humans to demonstrate substantial subiculum complex connectivity to the BNST in both species. This connection was primarily carried by the fornix, with additional connectivity via the amygdala, consistent with rodent anatomy. Third, utilising the twin-based nature of our human sample, we found that microstructural properties of these tracts were moderately heritable (h2 ∼ 0.5). In a final analysis, we found no evidence of any significant association between subiculum complex-BNST tract microstructure and indices of perceived stress/dispositional negativity and alcohol use, derived from principal component analysis decomposition of self-report data. Our findings address a key translational gap in our knowledge of the neurocircuitry regulating stress.","url":"https://doi.org/10.1016/j.neuroimage.2022.119096","authors":["Samuel C. Berry","Andrew D. Lawrence","T. Lancaster","Chiara Casella","John P. Aggleton","Mark Postans"],"tags":["Subiculum","Stria terminalis","Fornix","Neuroscience","Cingulate cortex"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-15","doi":"https://doi.org/10.1016/j.neuroimage.2022.119096","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7114918762","name":"Artificial intelligence driven platforms in the construction industry: implications for companies’ business models","source":"openalex","abstract":"Purpose This research paper aims to understand the development and impact of artificial intelligence (AI)-driven digital platform business models within the construction industry, addressing their strengths, weaknesses and changes from previous models. Design/methodology/approach The research uses a three-phase qualitative multiple-case study approach, analyzing three companies developing AI-driven digital platforms. Data was gathered from multiple sources within cases, including interviews, group meetings, workshops and company documentation. The analysis used thematic interpretation of qualitative data and the application of business model canvases for within-case structuring and cross-case synthesis. Findings Results reveal that AI-driven platforms have potential to enhance collaboration, efficiency and scalability through data-driven, personalized services. Platforms drive new business models and leverage benefits for ecosystem stakeholders. However, adoption faces barriers including high implementation costs, integration complexities, data risks, resistance to change and gaps in stakeholders’ maturity. Overcoming the barriers will require strategic planning, training, data governance frameworks,\\ and tailored stakeholder engagement. Research limitations/implications The study acknowledges limitations related to participant bias, partly virtual data collection and regional focus. Future research should expand the sample size and conduct longitudinal studies. Practical implications The research provides guidance for companies, emphasizing the importance of operational redesign, cultural alignment and training, data governance, collaborative development and fostering ecosystem partnerships. Originality/value This study contributes to the limited body of empirical research on AI-driven digital platforms in construction, offering insights for companies seeking to leverage platform-based business models in their business.","url":"https://doi.org/10.1108/ci-09-2024-0291","authors":["Roope Nyqvist","Antti Peltokorpi","Rita Lavikka","Antti Ainamo"],"tags":["Knowledge management","Leverage (statistics)","Computer science","Business intelligence","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-26","doi":"https://doi.org/10.1108/ci-09-2024-0291","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7164178676","name":"The convergence of digital twins and cyber-physical systems: architectures, applications, and future directions","source":"openalex","abstract":"Integration of DTs with CPS is a truly Industry 4.0 and 5.0 transformation paradigm; this allows for real-time monitoring, predictive analysis and automation opportunities. In this paper, we discuss architectural aspects, architectural components and technology enablers of the DT-CPS, practical applications and case studies. Our reference architecture comprises a four-layer architecture, and describes its requirement-driven development and comparative analysis, as well as rationale, for bidirectional data flow and closed-loop control. These case studies in smart manufacturing and smart cities show examples of possible efficiency improvements and gains in resilience. We then also discuss interoperability challenges found in a cited systematic survey and provide ideas on how to counter them. Building on our synthesis of eight recent studies (2021–2026) that we explicitly reviewed, our work offers a framework for developing next-generation intelligent systems, and sheds light on the significant importance of standardization, security by design and adaptive learning.","url":"https://doi.org/10.1117/12.3117335","authors":["Ye Zhu","Siyi Jiang"],"tags":["Interoperability","Computer science","Convergence (economics)","Architecture","Automation"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-10","doi":"https://doi.org/10.1117/12.3117335","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7161962880","name":"A Digital Twin–Driven Framework for Enhancing Cybersecurity in Embedded and IoT Systems","source":"openalex","abstract":"Digital twin technology holds significant promise; however, its full potential remains underexplored due to heterogeneous implementations and limited standardisation. By enabling virtual analysis, design optimisation, and lifecycle evolution of physical systems, digital twins enhance the speed, precision, and efficiency of conventional engineering practices within cyber-physical environments. Their adoption across Industry 4.0 and smart manufacturing ecosystems has improved operational intelligence, yet the rapid shift toward digitalisation has introduced critical cybersecurity challenges. The absence of unified security frameworks exposes digital twin infrastructures to cyber threats, where unauthorised access to a virtual replica may compromise the corresponding physical system. The convergence of digital twins with artificial intelligence offers new opportunities to strengthen cybersecurity through intelligent threat detection, predictive risk assessment, and adaptive defence mechanisms. This study examines the role of artificial intelligence in enhancing cybersecurity for digital twin-enabled industrial systems, while also analysing associated security risks. Furthermore, it provides a structured research roadmap for advancing secure and resilient digital twin architectures. Digital twins (DTs) provide dynamic virtual replicas of embedded systems, enabling enhanced cybersecurity through real-time monitoring, threat simulation, and anomaly detection. This study proposes a DT-driven cybersecurity framework for embedded and IoT platforms that integrates heterogeneous telemetry with system-level simulation while remaining lightweight for resource-constrained devices. Validation on Raspberry Pi, ESP32, and RISC-V platforms using real-world datasets demonstrates improved early attack detection, reduced false positives, and minimal computational overhead. The results confirm the effectiveness of DTs as an adaptive and efficient cybersecurity layer for modern embedded and IoT systems.","url":"https://doi.org/10.26438/ijcse.v14i4.7348","authors":["Pooja Dongare","Nimisha Rai"],"tags":["Computer security","Computer science","Anomaly detection","Implementation","Digital ecosystem"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-30","doi":"https://doi.org/10.26438/ijcse.v14i4.7348","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7130653093","name":"A Data-Driven Framework for the Development of Reliability-Aware Business Process Digital Twins","source":"openalex","abstract":"Digital Twin (DT) technologies are increasingly adopted as valuable methods to support the analysis and optimization of Business Processes (BPs). The use of simulation-based techniques in the BPM context is not new. Nonetheless, existing approaches for BP simulation primarily focus on performance-related aspects. In this respect, this paper introduces a data-driven framework for the automated generation of reliability-aware DTs derived from event and state logs. The proposed method integrates process mining techniques, resource reliability modeling, and model-driven transformations to produce executable DT simulations capable of predicting the failure behavior of process resources. The proposed framework has been applied to the predictive maintenance domain, where DT-based simulations are used to estimate resource availability, identify possible failure scenarios, and support the timely scheduling of preventive maintenance interventions. A manufacturing case study shows that the proposed approach can enhance process operability and reduce downtime compared to conventional BP execution without DT-based reliability insights.","url":"https://doi.org/10.3390/technologies14020136","authors":["Paolo Bocciarelli","Manuel Fiorelli","Andrea D’Ambrogio"],"tags":["Downtime","Computer science","Business process","Operability","Reliability engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-20","doi":"https://doi.org/10.3390/technologies14020136","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4361988576","name":"A Review of Machine Learning Approaches in Synchrophasor Technology","source":"openalex","abstract":"As power systems (PS) move toward smart grids and microgrids in modern times, complexity eventually rises as a result of integration with various distributed energy resources, demand-side management, and cybersecurity issues. Additionally, frequent PS network blackouts will have an impact on a country’s social, economic, and financial position. To ensure the reliability as well as security of the network’s smart-driven power system, more advanced monitoring and measurement technology, which is dominated by SCADA systems, is required. This is where synchrophasor-based phasor measurement units (PMUs) come into play, which process and analyze massive amounts of data in real-time more precisely to identify systemic anomalies. Due to their quick response times, high computing speeds, accuracy, and scalability, machine learning (ML)-based techniques are becoming more popular for handling real-time big data. The many ML algorithms used recently in synchrophasor technology, which enhances cybersecurity, fault detection and classification, transient stability assessment, voltage stability assessment, and forced oscillation localization are thoroughly reviewed in this paper. With the help of more than 190 pertinent papers, this work effectively discusses the ML applications in the synchrophasor technology where PMUs and μPMUs are deployed. The article also shows that several concerns have not yet been resolved and are still up for consideration by researchers in the future. One of them is the detection and observation of oscillation and line-tripping occurrences in the distribution area where μPMUs are installed. To address these problems, sophisticated DL approaches are recommended. Future possibilities to decrease bandwidth usage and improve processing delay using edge computing technology are also mentioned in this paper. The research potential for ML and DL approaches also extends to power line communication, wide area monitoring systems, and 5G and 6G network communications.","url":"https://doi.org/10.1109/access.2023.3263547","authors":["Dhinu Lal M","Ramesh Varadarajan"],"tags":["Computer science","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.1109/access.2023.3263547","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7129641033","name":"A comprehensive framework for data challenges and intelligent resource optimization for offshore wind energy","source":"openalex","abstract":"Offshore wind parks are central to the global energy transition, yet efficiently utilizing resources remains challenging. This review synthesizes data-driven approaches for improving offshore wind system performance, covering natural resources (e.g., wind and meteorological conditions) and artificial resources (e.g., turbines and supporting infrastructure). Three recurring data challenges—data imbalance, distribution shift, and data sparsity—are identified as key constraints in wind power forecasting, turbine layout optimization, and maintenance planning. For natural resource management, machine learning and deep learning models enhance wind and power forecasting under highly variable offshore conditions, while surrogate modeling and spatial optimization reduce wake losses and layout costs. Across representative studies, hourly and daily capacity-factor prediction errors are typically reduced by around 10% and 15–20%, respectively. For artificial resources, data-driven lifecycle management and preventive maintenance increasingly rely on SCADA data, sensor networks, and digital twins to assess equipment health and mitigate operational risks, although limited failure data remains a major bottleneck. Existing evidence suggests maintenance cost reductions of approximately 20–30%. Beyond operational efficiency, this review examines the integration of sustainability and circular-economy principles into offshore wind development, including material recycling, component lifetime extension, and wind-to-hydrogen integration. Overall, effective data-driven optimization depends on advanced algorithms, high-quality data, and system integration. By linking data challenges with circular-economy objectives, this study proposes a unifying framework to support intelligent and sustainable offshore wind systems.","url":"https://doi.org/10.1016/j.seta.2026.104888","authors":["Yucheng Lyu","Hao Chen","Devrim Murat Yazan"],"tags":["Offshore wind power","Wind power","Turbine","Component (thermodynamics)","SCADA"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-17","doi":"https://doi.org/10.1016/j.seta.2026.104888","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7154722021","name":"INFORMATION-CONTROLLED MECHATRONIC SYSTEMS OF POWER SUPPLY AND AUTOMATION OF TECHNOLOGICAL PROCESSES IN THE AGRO-INDUSTRIAL COMPLEX","source":"openalex","abstract":"The paper examines modern approaches to the development, research, and implementation of mechatronic systems for adaptive control of technological processes in the agro-industrial complex. Particular attention is paid to the integration of electrical, information, sensor, and control subsystems into a unified intelligent structure capable of self-adjustment, environmental analysis, and energy optimization. It is shown that under conditions of rapid digitalization, climate change, and the need for rational use of resources, such systems ensure flexibility, stability, and efficiency of production processes. The study determines that effective mechatronic systems should be based on a modular structure including sensor, executive, analytical, and communication levels. The sensor level collects process data, the executive level performs control actions, the analytical level applies adaptive and optimization algorithms, and the communication level ensures integration through industrial digital networks. It is established that adaptive mechatronic systems increase energy efficiency, reduce raw material losses, improve product quality, and maintain stable operating parameters under unstable external conditions. Special attention is given to mathematical modeling, simulation, and the use of frequency-controlled electric drives with digital control systems, which improve positioning accuracy, speed regulation, and overall energy performance. The paper identifies key directions for further development, including autonomous robotic systems, wireless sensor networks, digital twins, intelligent energy management, and adaptive control under changing climatic conditions. The obtained results are of scientific and practical significance for precision agriculture, livestock production, smart greenhouses, and automated processing systems.","url":"https://doi.org/10.37128/2520-6168-2026-1-10","authors":["Mykola Stadnik","Andrii Shtuts","Mykola Kolisnyk","Vasyl Kohut"],"tags":["Mechatronics","Control engineering","Automation","Modular design","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-17","doi":"https://doi.org/10.37128/2520-6168-2026-1-10","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7128428963","name":"A Review of Federated Large Language Models for Industry 4.0","source":"openalex","abstract":"Industry 4.0 envisions a highly interconnected, autonomous manufacturing ecosystem enabled by the Industrial Internet of Things, Cyber-Physical Systems, and Artificial Intelligence. The emergence of large language models introduces new capabilities for semantic-aware decision-making, cross-domain knowledge integration, and intelligent automation. However, privacy, security, and regulatory constraints often isolate industrial data, impeding the scalability of LLMs in manufacturing. Federated learning addresses this by enabling decentralized LLM optimization without exposing raw data. This paper presents a comprehensive review of recent federated large language model research with a focus on industrial feasibility, comparing enabling techniques, system designs, and deployment strategies. Based on existing studies, forward-looking analyses are provided to highlight potential challenges and trade-offs in practical adoption, including computation and communication overheads, synchronization in large-scale federations, and system robustness. By bridging foundational methods with emerging industrial scenarios, we finally discuss the significant challenges associated with deploying federated large language models in complex industrial environments and outline a future research agenda.","url":"https://doi.org/10.3390/s26041116","authors":["Jing Feng","Yujing Zhang","Gao Mt","Xiongtao Zhang","Huaizhe Zhou"],"tags":["Software deployment","Industrial Internet","Scalability","Computer science","Bridging (networking)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-09","doi":"https://doi.org/10.3390/s26041116","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166801765","name":"Application methods of digital twin technology in quality control and management of customised furniture","source":"openalex","abstract":"Digital twin technology enables intelligent manufacturing and supports digital transformation. However, its use in customised furniture quality control is limited, due to issues such as inefficient traceability, slow response times, and predictive barriers. To address the fragmented quality management across stages, this study introduces a comprehensive framework that extends digital twins beyond workshops to the entire product lifecycle – design, warehousing, production, and after-sales. Adopting a design science research approach, we have developed a digital twin model for workshop quality control and a full lifecycle management approach, focused on three key pillars: lifecycle quality data management, high-fidelity virtual simulation, and real-virtual interaction. It thereby establishes a pathway to improve the accuracy and efficiency of quality control, which can lower costs, shorten delivery cycles, and accelerate digital transformation for furniture enterprises.","url":"https://doi.org/10.5552/drvind.2026.0263","authors":["Fengting Li","Shilu Zhong"],"tags":["Quality (philosophy)","Control (management)","Product lifecycle","Digital transformation","Product (mathematics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-29","doi":"https://doi.org/10.5552/drvind.2026.0263","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7128718699","name":"Frontier Research and Application Advances in Energy-Saving Technologies for Aluminum Electrolysis","source":"openalex","abstract":"The Hall–Héroult aluminum electrolysis process remains highly energy-intensive, making energy efficiency improvement crucial for sustainable aluminum production. Recent progress has focused on four key areas: electrolyzer structure optimization, advanced electrode materials, intelligent process control, and waste heat recovery. Structural innovations such as reducing the anode to cathode distance (ACD) and improving magnetohydrodynamic stability have lowered operating voltage and thermal losses. Novel carbon-based and conductive electrode materials have improved current efficiency and extended service life. Intelligent control methods, including model predictive control, adaptive dynamic programming, and Kalman filtering, have optimized alumina feeding, stabilized operations, and reduced perfluorocarbon emissions. Moreover, recovering waste heat from anode gases and electrolyzer sidewalls has created new opportunities for energy reuse. The integration of these strategies is advancing aluminum electrolysis toward higher efficiency, lower carbon emissions, and intelligent operation. Future directions include digital twin modeling, artificial-intelligence-driven control, ultra-low ACD designs, and efficient heat recovery systems to promote sustainable industrial transformation.","url":"https://doi.org/10.3390/en19040959","authors":["Yu Zhou","Chaoxian Zhao","Jin Xiao","Liuzhou Zhou","Mengdi Wang","Sen Huang","Jie Yang","Qiuyun Mao","Zihan You","Qifan Zhong"],"tags":["Anode","Electrolysis","Process engineering","Materials science","Polymer electrolyte membrane electrolysis"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-12","doi":"https://doi.org/10.3390/en19040959","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7155399098","name":"Future research directions and applications of artificial intelligence in tribology","source":"openalex","abstract":"Artificial intelligence (AI) is transforming tribology by enabling the prediction and understanding of friction, wear, and lubrication at a higher level than conventional methods. This is important because 20–23% of global energy is wasted due to friction and wear, and 30–40% of machine failures are due to these issues. This review analyzes recent developments, existing problems, uses, and prospective research on AI in tribology. It also holds tribo-informatics that is a combination of tribology and data science. The review deals with multiple scales of tribology, including small particles up to large components and long-term wear experiments, as well as existing machine-learning methods. These methods include physics-informed machine learning, which uses major equations, such as lubrication and wear equations. Studies have shown that traditional machine learning (ML) can predict friction and wear with 90–95% accuracy, whereas deep learning improves wear prediction by 20–40%. CNN-based methods can identify wear states with 95–98% accuracy, and hybrid methods predict the remaining life of parts with less than 5–10% error. Challenges include limited data, complex interactions, hard-to-understand models, high resource needs, and privacy issues, making most industrial data unavailable. Despite this, AI improves production efficiency by 15–30%, reduces unexpected failures by 20–40%, and cuts maintenance costs by 10–25%. These have enormous effects on aerospace, renewable energy and manufacturing industries. Others are that it needs open databases, legal explainable AI to show why it made its decisions and digital twins and autonomous labs to improve diagnostics, lubricant design, and energy-saving systems.","url":"https://doi.org/10.1007/s44245-026-00249-0","authors":["Amrinder Mehta","Hitesh Vasudev","S. Sabareshwaran","B. V. Suma","Jashanpreet Singh","Brijesh Prasad","Saravjeet Singh","Oda Tadese Katelo"],"tags":["Tribology","Lubrication","Lubricant","Artificial intelligence","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-23","doi":"https://doi.org/10.1007/s44245-026-00249-0","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7204459263","name":"An Intelligent Multi‐Criteria Framework for Digital Twin Adoption Assessment in Smart Manufacturing via Circular q‐Rung Orthopair Fuzzy CoCoFISO Dynamics","source":"openalex","abstract":"ABSTRACT Digital twin technologies are gaining importance in modern intelligent manufacturing to facilitate increased efficiency, smartness in manufacturing, and sustainability. Nevertheless, the choice of a suitable digital twin solution is a complicated long‐term decision because of the high rate of technological development, integration issues, and financial limitations. To solve these problems, this research proposes a multi‐criteria decision‐making model based on the circular q‐rung orthopair fuzzy compromise of ideal solution (CqROF‐CoCoFISO). The proposed model uses circular q‐rung orthopair fuzzy sets, which is an effective model for capturing the uncertainty, hesitation and ambiguity that exists in smart manufacturing environments. The most important assessment criteria will be the technological flexibility, compatibility with the system, the cost of implementation, functionality of the system, intellectual property protection, adherence to security and sustainability. The CoCoFISO mechanism will allow ranking competing digital twin alternatives reliably based on conflicting criteria, which will improve the strength and stability of decision‐making results. The usefulness of the proposed framework can be proved through a comparative analysis. The findings offer useful information to manufacturing engineers, decision‐makers and policymakers aiming at informed and credible digital twin adoption policies in changing industrial conditions.","url":"https://doi.org/10.1049/cim2.70076","authors":["Asma Farhad","Kifayat Ullah","Zeeshan Ali","Yilun Shang"],"tags":["Ambiguity","Computer science","Fuzzy logic","Risk analysis (engineering)","Ranking (information retrieval)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1049/cim2.70076","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7160860846","name":"Real-time Monitoring and Optimization of Industrial Robots Based on Digital Twin Technology","source":"openalex","abstract":"With the global optimization and reform of industrialization, the traditional manufacturing industry is accelerating its transformation toward intelligence and digitalization. Digital Twin (DT) offers a revolutionary solution for the full-life cycle management of industrial robots by establishing real-time mapping and bidirectional interaction between physical entities and their virtual replicas. Aiming at the limitations of traditional monitoring and optimization modes for industrial robots in response speed, early warning accuracy, collaboration efficiency and adaptability to complex scenarios, this paper systematically reviews the research and application progress of DT technology in the field of industrial robots. First, it combs the core technical system of DT-driven monitoring and optimization for industrial robots, including three modules: multi-dimensional modeling, real-time data interaction and scenario-customized algorithms. Second, it classifies and summarizes the research achievements and technical characteristics of multiple sub-directions according to three major application scenarios: fault prediction, remote monitoring and collaborative operation. Finally, it prospects the future development trends such as the deep integration of artificial intelligence (AI) and DT, cross-platform collaboration and lightweight deployment.","url":"https://doi.org/10.54254/2755-2721/2026.gu33411","authors":["Yi-Xiang Wang"],"tags":["Adaptability","Field (mathematics)","Robot","Systems engineering","Industrial robot"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-11","doi":"https://doi.org/10.54254/2755-2721/2026.gu33411","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4224213993","name":"A Gaussian process regression‐based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin‐walled structures","source":"openalex","abstract":"Abstract Since the dynamics of thin‐walled structures instantaneously varies during the milling process, accurate and efficient prediction of the in‐process workpiece (IPW) dynamics is critical for the prediction of chatter stability of milling of thin‐walled structures. This article presents a surrogate model of the IPW dynamics of thin‐walled structures by combining Gaussian process regression (GPR) with proper orthogonal decomposition (POD) when IPW dynamics at a large number of cutting positions has to be predicted. The GPR method is used to learn the mapping between a set of the known IPW dynamics and the corresponding cutting positions. POD is used to reduce the order of the matrix assembled by the mode shape vectors at different cutting positions, before the GPR model of the IPW mode shape is established. The computation time of the proposed model is mainly composed of the time taken for predicting a known set of IPW dynamics and the time taken for training GPR models. Simulation shows that the proposed model requires less computation time. Moreover, the accuracy of the proposed model is comparable to that of the existing methods. Comparison between the predicted stability lobe diagram and the experimental results shows that IPW dynamics predicted by the proposed model is accurate enough for predicting the stability of milling of thin‐walled structures.","url":"https://doi.org/10.1002/msd2.12034","authors":["Yun Yang","Yun Yang","Yang Yang","Yang Yang","Manyu Xiao","Min Wan","Weihong Zhang"],"tags":["Computation","Stability (learning theory)","Kriging","Process (computing)","Surrogate model"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-03-01","doi":"https://doi.org/10.1002/msd2.12034","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W2904271401","name":"2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges","source":"openalex","abstract":"Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision. In this paper, we first analyze the factors that affect two-dimensional (2D) and three-dimensional (3D) image quality, and then provide an up-to-date overview on IQA for each main factor. The main factors that affect 2D image quality are fidelity and aesthetics. Another main factor that affects stereoscopic 3D image quality is visual comfort. We also describe the IQA databases and give the experimental results on representative IQA metrics. Finally, we discuss the challenges for IQA, including the influence of different factors on each other, the performance of IQA metrics in real applications, and the combination of quality assessment, restoration, and enhancement.","url":"https://doi.org/10.1109/access.2018.2885818","authors":["Yuzhen Niu","Yini Zhong","Wenzhong Guo","Yiqing Shi","Peikun Chen"],"tags":["Computer science","Image quality","Quality (philosophy)","Fidelity","Artificial intelligence"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-12-11","doi":"https://doi.org/10.1109/access.2018.2885818","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7163807763","name":"Planning-Based Decision Space Exploration for Digital Twins in Immature Production Processes","source":"openalex","abstract":"Highly variant and immature production processes frequently occur during the ramp-up of new manufacturing technologies, where process parameters, resource configurations, and operating strategies must be established under incomplete process knowledge. The resulting combinatorial configuration spaces make systematic planning and evaluation of alternative process setups difficult. This paper proposes a planning-based digital twin architecture that enables structured exploration and reduction of such decision spaces while integrating simulation-based feasibility assessment. The approach combines formal modeling of discrete process parameter variants with automated planning and physics-based simulation using PyBullet. Symbolic planning operates on an abstract representation of process steps, resources, and parameter variants to generate consistent process paths under cost and quality objectives. These process paths are subsequently instantiated as executable simulation scenarios, allowing verification of their physical feasibility and operational behavior. The architecture integrates decision generation, execution, and evaluation within a unified and modular pipeline. A virtual thermoforming demonstrator is used to verify the functional feasibility of the approach and to illustrate systematic decision space reduction through constraint-based planning. The results demonstrate that planning-based digital twin architectures provide a scalable foundation for supporting decision-making during ramp-up and configuration of highly variant production processes.","url":"https://doi.org/10.36897/jme/222460","authors":["Alexander Bott","suliot Salihi","Alexander Puchta","Jürgen Fleischer"],"tags":["Executable","Computer science","Modular design","Process (computing)","Representation (politics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-07","doi":"https://doi.org/10.36897/jme/222460","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7140142264","name":"EdTech and the Environment: A Research Program","source":"openalex","abstract":"Abstract The global EdTech market, valued at nearly USD 250 billion, generates not only revenue but substantial ecological and planetary costs that the EdTech scholarly community has insufficiently examined. This article argues that those working in and around EdTech bear a moral responsibility to move beyond (non)performative engagement with sustainable development goals toward serious, structural inquiry into the environmental impacts of EdTech. Drawing on a postdigital transdisciplinary framework, we identify key scholarly fields and approaches—Critical EdTech Studies, AI and education research, postdigital-biodigital approaches, Education for Sustainable Development, degrowth theory, ecopedagogy, and studies of unequal planetary conditions—and examine their respective contributions to understanding relationships between EdTech and the environment. We outline an open research program grounded in ontological, epistemological, ethical, political, pedagogical, positional, and community commitments that resist technological solutionism and growth-dependent development models. Rather than offering definitive answers, this paper extends an invitation to transdisciplinary collaboration, recognising that planetary challenges require planetary responses from a coalition of scholars willing to work across—and beyond—disciplinary boundaries.","url":"https://doi.org/10.1007/s42438-026-00635-7","authors":["Petar Jandrić","Jeremy Knox","Chrysi Rapanta","Sarah Hayes","Vasilis Kostakis","Sara Tolbert","Greg William Misiaszek","Kyungmee Lee"],"tags":["Work (physics)","Engineering ethics","Planetary boundaries","Sociology","Sustainability"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-23","doi":"https://doi.org/10.1007/s42438-026-00635-7","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7204438517","name":"Industry 5.0 and digital transformation for sustainable textile and manufacturing systems","source":"openalex","abstract":"The rapid evolution of digital technologies has significantly transformed modern manufacturing systems, creating new opportunities for improving productivity, sustainability, and industrial resilience. In this context, Industry 5.0 has emerged as a new industrial paradigm that extends the technological achievements of Industry 4.0 by emphasizing human-centric manufacturing, sustainable production, and resilient industrial systems. Simultaneously, digital transformation has become a key enabler for integrating intelligent technologies into both textile and manufacturing industries, supporting resource-efficient production, process optimization, and environmentally responsible manufacturing practices. This paper presents a comprehensive review of the relationship between Industry 5.0, digital transformation, and sustainable textile and manufacturing systems. The study examines the fundamental principles of Industry 5.0 and discusses the role of enabling technologies, including Artificial Intelligence (AI), the Internet of Things (IoT), Digital Twins, Big Data analytics, Cloud Computing, and Cyber-Physical Systems (CPS), in supporting intelligent manufacturing environments. Particular attention is devoted to the application of these technologies in textile manufacturing, where digitalization contributes to automated quality control, smart textile production, resource efficiency, digital product traceability, and circular production strategies. Based on the findings of the literature review, the authors propose a conceptual model of Industry 5.0-driven digital transformation that integrates three complementary dimensions: Digital Technologies, Human-Centred Manufacturing, and Sustainable Manufacturing. The proposed model illustrates how the interaction among these dimensions contributes to improved manufacturing performance through enhanced productivity, flexibility, product quality, environmental responsibility, and industrial resilience. Furthermore, the model demonstrates the importance of integrating technological innovation with human expertise and sustainability principles to support the future development of both textile and manufacturing systems. The proposed conceptual model may serve as a foundation for future research focused on intelligent manufacturing, smart textile production, Artificial Intelligence, Digital Twins, sustainable industrial development, and Industry 5.0 implementation strategies.","url":"https://doi.org/10.5937/ct_iti26476s","authors":["Sara Srebrenkoska","Dejan Krstev","Sasko Dimitrov","Simona Nikolova"],"tags":["Enabling","Manufacturing engineering","Industry 4.0","Digital transformation","Digital manufacturing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.5937/ct_iti26476s","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4391482599","name":"Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data","source":"openalex","abstract":"Abstract It is increasingly important to monitor sliding interfaces within machines, since this is where both energy is lost, and failures occur. Acoustic emission (AE) techniques offer a way to monitor contacts remotely without requiring transparent or electrically conductive materials. However, acoustic data from sliding contacts is notoriously complex and difficult to interpret. Herein, we simultaneously measure coefficient of friction (with a conventional force transducer) and acoustic emission (with a piezoelectric sensor and high acquisition rate digitizer) produced by a steel–steel rubbing contact. Acquired data is then used to train machine learning (ML) algorithms (e.g., Gaussian process regression (GPR) and support vector machine (SVM)) to correlated acoustic emission with friction. ML training requires the dense AE data to first be reduced in size and a range of processing techniques are assessed for this (e.g., down-sampling, averaging, fast Fourier transforms (FFTs), histograms). Next, fresh, unseen AE data is given to the trained model and the resulting friction predictions are compared with the directly measured friction. There is excellent agreement between the measured and predicted friction when the GPR model is used on AE histogram data, with root mean square (RMS) errors as low as 0.03 and Pearson correlation coefficients reaching 0.8. Moreover, predictions remain accurate despite changes in test conditions such as normal load, reciprocating frequency, and stroke length. This paves the way for remote, acoustic measurements of friction in inaccessible locations within machinery to increase mechanical efficiency and avoid costly failure/needless maintenance.","url":"https://doi.org/10.1007/s40544-023-0834-7","authors":["Robert Gutiérrez","Tianshi Fang","Robert Mainwaring","Tom Reddyhoff"],"tags":["Acoustic emission","Root mean square","Kriging","Rubbing","Histogram"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-01","doi":"https://doi.org/10.1007/s40544-023-0834-7","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7203719530","name":"A proactive digital twin framework for dynamic pull scheduling in modular construction factories","source":"openalex","abstract":"Achieving continuous flow in modular construction is challenging due to high-mix variability, where traditional static methods often fail, leading to excess Work-in-Process (WIP) and flow stagnation.This study proposes a Digital Twin framework utilizing a novel \"Offline Learning, Online Control\" architecture.The methodology employs Simulation-Based Optimization to derive optimal control policies offline, which are synthesized into a lightweight surrogate model.This model drives an autonomous Scheduler Agent that acts as a virtual pacemaker, regulating real-time flow to shift production from a 'push' to a dynamic 'pull' strategy.Specifically, the agent monitors the cumulative count of finished units at critical downstream constraints, throttling upstream releases until the cumulative count of finished units from the current project surpasses a dynamically calculated threshold.To validate this approach, a case study was conducted on a wall panel assembly line in Edmonton, Canada.For this specific implementation, a Genetic Algorithm was used to train a linear regression surrogate policy against stochastic demand scenarios.Experimental results demonstrate a 38.5% reduction in average Cycle Time (Lead Time) compared to the facility's baseline practice.These findings confirm that integrating simulation-based learning with real-time surrogate control successfully stabilizes flow efficiency, minimizes WIP accumulation, and prevents gridlock in constrained manufacturing environments.","url":"https://doi.org/10.24928/2026/0246","authors":["Nima Moghimi","Sahar H. Shamaee","Qipei Mei","Vicente A. González","Farook R. Hamzeh"],"tags":["Modular design","Scheduling (production processes)","Bandwidth throttling","Surrogate model","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-22","doi":"https://doi.org/10.24928/2026/0246","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7144391542","name":"On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins","source":"openalex","abstract":"LLM-assisted modeling holds the potential to rapidly build executable Digital Twins of complex systems from only coarse descriptions and sensor data. However, resilience to LLM hallucination, human oversight, and real-time model adaptability remain challenging and often mutually conflicting requirements. We present three critical design principles for integrating resilience and oversight into such workflows, derived from insights gained through our work on FactoryFlow - an open-source LLM-assisted framework for building simulation-based Digital Twins of manufacturing systems. First, orthogonalize structural modeling and parameter fitting. Structural descriptions (components, interconnections) are LLM-translated from coarse natural language to an intermediate representation (IR) with human visualization and validation, which is algorithmically converted to the final model. Parameter inference, in contrast, operates continuously on sensor data streams with expert-tunable controls. Second, restrict the model IR to interconnections of parameterized, pre-validated library components rather than monolithic simulation code, enabling interpretability and error-resilience. Third, and most important, is to use a density-preserving IR. When IR descriptions expand dramatically from compact inputs hallucination errors accumulate proportionally. We present the case for Python as a density-preserving IR : loops express regularity compactly, classes capture hierarchy and composition, and the result remains highly readable while exploiting LLMs strong code generation capabilities. A key contribution is detailed characterization of LLM-induced errors across model descriptions of varying detail and complexity, revealing how IR choice critically impacts error rates. These insights provide actionable guidance for building resilient and transparent LLM-assisted simulation automation workflows.","url":"https://openalex.org/W7144391542","authors":["Lekshmi P","Neha Karanjkar"],"tags":["Interpretability","Executable","Workflow","Computer science","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-26","doi":"","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7124270277","name":"Artificial Intelligence and Sustainability in Industry 4.0 and 5.0: Trends, Networks of Leading Countries and Evolution of the Research Focus","source":"openalex","abstract":"In the context of environmental challenges and digital transformation, artificial intelligence (AI) plays a key role in promoting sustainable development within Industry 4.0 and the emerging paradigm of Industry 5.0. This study systematically reviewed the literature (2015–2025) from Scopus and Web of Science on the connections between AI, circular economy, industrial paradigms, and the Sustainable Development Goals (SDGs), with a particular focus on supply chains and SDG 12—responsible consumption and production. The majority of research emphasizes managerial aspects, the application of machine learning and robotics, as well as waste reduction, resource optimization, and circular economy practices within supply chain and production–consumption systems. Geographical analysis shows that larger economies serve as central research hubs, while some countries that are not among the most populous often achieve the highest average citations per document. Temporal keyword trends indicate a shift in research focus from operational efficiency in traditional supply chains (optimization) toward supply chain digitalization (artificial intelligence) and sustainability (circular economy). Keyword trends reveal four thematic clusters: supply chain digitalization, agritech, smart industry, and sustainability. The study highlights future research directions, including integrating circular economy with managerial and technical approaches, linking Industry 5.0 with SDG 12, and applying advanced AI in sustainable industrial practices. The increasing attention to ethical and social dimensions underscores the need for AI solutions that are both technologically advanced and sustainability oriented.","url":"https://doi.org/10.3390/su18020877","authors":["Mirjana Lazarević","Matevž Obrecht"],"tags":["Sustainability","Circular economy","Supply chain","Context (archaeology)","Scopus"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-15","doi":"https://doi.org/10.3390/su18020877","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4392730431","name":"Industry 4.0 and the Road to Sustainable Steelmaking in Europe","source":"openalex","abstract":"Addressing the transformation occurring in the steel industry under the name of Industry 4.0 does not mean merely focusing. This is an open access book.","url":"https://doi.org/10.1007/978-3-031-35479-3","authors":["Dean Stroud","Antonius Schröder","Luca Antonazzo","Clara Behrend","Valentina Colla","Aitor Goti","Martin Weinel"],"tags":["Steelmaking","Business","Metallurgy","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-01","doi":"https://doi.org/10.1007/978-3-031-35479-3","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4394604495","name":"Preliminary Research Results on Exploring the Business Ecosystem and the Value Sources of Metaverse","source":"openalex","abstract":"Metaverse has become an emerging trend for both academia and industry, and it seems to concern the next generation of the Internet. Although it is still in its grassroots, metaverse is estimated to bring disruption to people’s lives. One of the effects concerns the generation of new value opportunities that don’t exist in real life. These new types of value as well as their impact on people’s lives must be explored. In this respect, this paper utilizes literature evidence to define the value types of metaverse, which are circulated with experts from the focus group on metaverse of the International Telecommunications Union. Results uncover economic, public, and social values that metaverse generates, which can ensure its financial viability and the community’s social sustainability. The economic value sources come from both the industrial and the commercial sectors, while the public values concern citizen empowerment and government efficiency. The social values of metaverse concern employment growth, and the provision of immersive experiences in entertainment and education environments. Finally, this paper critically reviews their role for environmental, economic, and social sustainability. The literature review indicated that metaverse can on the one hand, enhance sustainability but on the other hand, it can cause environmental impact.","url":"https://doi.org/10.3390/su16083134","authors":["Elli Kontogianni","Λεωνίδας Ανθόπουλος"],"tags":["Value (mathematics)","Ecosystem","Business ecosystem","Metaverse","Environmental resource management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-04-09","doi":"https://doi.org/10.3390/su16083134","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4406617430","name":"Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview","source":"openalex","abstract":"In recent years, the growing number of vehicles on the road have exacerbated issues related to safety and traffic congestion. However, the advent of the Internet of Vehicles (IoV) holds the potential to transform mobility, enhance traffic management and safety, and create smarter, more interconnected road networks. This paper addresses key road safety concerns, focusing on driver condition detection, vehicle monitoring, and traffic and road management. Specifically, various models proposed in the literature for monitoring the driver's health and detecting anomalies, drowsiness, and impairment due to alcohol consumption are illustrated. The paper describes vehicle condition monitoring architectures, including diagnostic solutions for identifying anomalies, malfunctions, and instability while driving on slippery or wet roads. It also covers systems for classifying driving style, as well as tire and emissions monitoring. Moreover, the paper provides a detailed overview of the proposed traffic monitoring and management solutions, along with systems for monitoring road and environmental conditions, including the sensors used and the Machine Learning (ML) algorithms implemented. Finally, this review also presents an overview of innovative commercial solutions, illustrating advanced devices for driver monitoring, vehicle condition assessment, and traffic and road management.","url":"https://doi.org/10.3390/s25020562","authors":["Paolo Visconti","Giuseppe Rausa","Carolina Del-Valle-Soto","Ramiro Velázquez","Donato Cafagna","Roberto De Fazio"],"tags":["Traffic congestion","Key (lock)","Intelligent transportation system","Transport engineering","The Internet"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-01-19","doi":"https://doi.org/10.3390/s25020562","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4402239772","name":"Responding to the ripple effect from systemic disruptions: empirical evidence from the semiconductor shortage during COVID-19","source":"openalex","abstract":"Purpose The ripple effect (i.e. disruption propagation in networks) belongs to one of the central pillars in supply chain resilience and viability research, constituting a type of systemic disruption. A considerable body of knowledge has been developed for the last two decades to examine the ripple effect triggered by instantaneous disruptions, e.g. earthquakes or factory fires. In contrast, far less research has been devoted to study the ripple effect under long-term disruptions, such as in the wake of the COVID-19 pandemic. Design/methodology/approach This study qualitatively analyses secondary data on the ripple effects incurred in automotive and electronics supply chains. Through the analysis of five distinct case studies illustrating operational practices used by companies to cope with the ripple effect, we uncover a disruption propagation mechanism through the supply chains during the semiconductor shortage in 2020–2022. Findings Applying a theory elaboration approach, we sequence the triggers for the ripple effects induced by the semiconductor shortage. Second, the measures to mitigate the ripple effect employed by automotive and electronics companies are delineated with a cost-effectiveness analysis. Finally, the results are summarised and generalised into a causal loop diagram providing a more complete conceptualisation of long-term disruption propagation. Originality/value The results add to the academic discourse on appropriate mitigation strategies. They can help build scenarios for simulation and analytical models to inform decision-making as well as incorporate systemic risks from ripple effects into a normal operations mode. In addition, the findings provide practical recommendations for implementing short- and long-term measures during long-term disruptions.","url":"https://doi.org/10.1108/mscra-03-2024-0011","authors":["Kateryna Kravchenko","Tim Gruchmann","Марина Іванова","Dmitry O. Ivanov"],"tags":["Coronavirus disease 2019 (COVID-19)","Economic shortage","Ripple","2019-20 coronavirus outbreak","Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-04","doi":"https://doi.org/10.1108/mscra-03-2024-0011","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4383106088","name":"A stepwise physics‐informed neural network for solving large deformation problems of hypoelastic materials","source":"openalex","abstract":"Abstract Physics‐informed neural network (PINN) has been widely concerned for its higher computational accuracy compared with conventional neural network. The merit of PINN mainly comes from its ability to embed known physical laws or equations into data‐based neural networks. However, when dealing with the rate‐dependent nonlinear problems, such as elasto‐plasticity with loading and unloading and hypoelastic large deformation, the conventional PINN cannot obtain satisfactory results. In this article, a stepwise physics‐informed neural network (sPINN) is proposed to solve large deformation problems of hypoelastic materials. The whole process of sPINN can be divided into a series of time steps. In each time step, the rate constitutive equation expressed by Hughes‐Winget algorithm and momentum governing equation are incorporated into the loss function as physical constraints. The displacement and stress fields can be resolved by completing the training process of each time step. Three numerical examples are designed to validate the proposed method by comparing with the solutions of FEM. The results show that sPINN can accurately resolve the displacement and stress fields in path‐dependent large deformation problems. Furthermore, the performance of the sPINN on small data sets are also discussed, which illustrates that sPINN is more capable of predicting the global solution on small data sets as compared with conventional artificial neural network.","url":"https://doi.org/10.1002/nme.7323","authors":["Zikun Luo","Lei Wang","Mengkai Lü"],"tags":["Artificial neural network","Displacement (psychology)","Nonlinear system","Constitutive equation","Deformation (meteorology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-03","doi":"https://doi.org/10.1002/nme.7323","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4389439410","name":"Recent Advances in the Detection of Food Toxins Using Mass Spectrometry","source":"openalex","abstract":"Edibles are the only source of nutrients and energy for humans. However, ingredients of edibles have undergone many physicochemical changes during preparation and storage. Aging, hydrolysis, oxidation, and rancidity are some of the major changes that not only change the native flavor, texture, and taste of food but also destroy the nutritive value and jeopardize public health. The major reasons for the production of harmful metabolites, chemicals, and toxins are poor processing, inappropriate storage, and microbial spoilage, which are lethal to consumers. In addition, the emergence of new pollutants has intensified the need for advanced and rapid food analysis techniques to detect such toxins. The issue with the detection of toxins in food samples is the nonvolatile nature and absence of detectable chromophores; hence, normal conventional techniques need additional derivatization. Mass spectrometry (MS) offers high sensitivity, selectivity, and capability to handle complex mixtures, making it an ideal analytical technique for the identification and quantification of food toxins. Recent technological advancements, such as high-resolution MS and tandem mass spectrometry (MS/MS), have significantly improved sensitivity, enabling the detection of food toxins at ultralow levels. Moreover, the emergence of ambient ionization techniques has facilitated rapid in situ analysis of samples with lower time and resources. Despite numerous advantages, the widespread adoption of MS in routine food safety monitoring faces certain challenges such as instrument cost, complexity, data analysis, and standardization of methods. Nevertheless, the continuous advancements in MS-technology and its integration with complementary techniques hold promising prospects for revolutionizing food safety monitoring. This review discusses the application of MS in detecting various food toxins including mycotoxins, marine biotoxins, and plant-derived toxins. It also explores the implementation of untargeted approaches, such as metabolomics and proteomics, for the discovery of novel and emerging food toxins, enhancing our understanding of potential hazards in the food supply chain.","url":"https://doi.org/10.1021/acs.chemrestox.3c00241","authors":["Vishal Ahuja","Amanpreet Singh","Debarati Paul","Diptarka Dasgupta","Petra Urajová","Sounak Ghosh","Roshani Singh","Gobardhan Sahoo","Daniela Ewe","Kumar Saurav"],"tags":["Food spoilage","Food safety","Biochemical engineering","Chemistry","Mass spectrometry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-12-07","doi":"https://doi.org/10.1021/acs.chemrestox.3c00241","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166690582","name":"The Integration of Digital Twin Technology and the Industrial Internet of Things (IIoT) for Enhanced Predictive Maintenance in Smart Manufacturing: A Hybrid Framework with Realistic Field Projections","source":"openalex","abstract":"The contemporary industrial landscape is undergoing a transformative paradigm shift driven by the Fourth Industrial Revolution (Industry 4.0), characterized by the convergence of digital technologies with physical manufacturing processes. Central to this transformation is the evolution from reactive and preventive maintenance strategies toward data-driven Predictive Maintenance (PdM), which promises to revolutionize asset management practices across manufacturing sectors. This comprehensive research paper investigates the structural integration of Digital Twin (DT) technology and the Industrial Internet of Things (IIoT) to optimize operational efficiency, reliability, and service life extension of complex industrial machinery. By establishing a continuous, bidirectional cyber-physical feedback loop, the proposed framework enables real-time anomaly detection, high-fidelity fault isolation, and precise Remaining Useful Life (RUL) estimations. The study proposes a hybrid architecture combining physics-based models (Extended Kalman Filtering) with data-driven algorithms (LSTM networks and Physics-Informed Neural Networks) within a distributed edge-cloud computing environment. Under optimal simulated conditions, the framework indicates a potential reduction in unscheduled downtime of up to 93.4% and a 90.4% improvement in RUL estimation precision compared to traditional methods. However, these figures are presented as theoretical upper bounds derived from controlled simulation environments using the NASA C-MAPSS dataset. Recognizing the inherent gap between simulation and physical deployment—commonly referred to as the \"simulation-to-reality gap\" or \"generalization gap\"—the study provides conservative field-performance projections. These projections estimate a realistic field reduction of approximately 60.8% (with a sensitivity range of 55–61%), accounting for unavoidable stochastic failures, sensor drift, electromagnetic interference, and domain adaptation challenges when transitioning from aerospace turbine data to multi-axis manufacturing centers. The paper rigorously validates the framework using the NASA C-MAPSS dataset and extended custom simulation environments, while also presenting a phased 12-month implementation roadmap, a tri-scenario economic feasibility analysis (optimistic, realistic, pessimistic), and a robust ethical governance framework aligned with UNESCO AI Ethics principles. This research offers a mature, actionable blueprint for resilient, next-generation industrial asset management, with explicit acknowledgment of current limitations and prioritized directions for future field validation.","url":"https://doi.org/10.65405/827x7841","authors":["Suad Khalifa Ali Aghlelib","Asma Mohammed Arjiah","Maryam Omar Al-Tahami Abdulhamid"],"tags":["Predictive maintenance","Downtime","Field (mathematics)","Cyber-physical system","Kalman filter"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-21","doi":"https://doi.org/10.65405/827x7841","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7125689455","name":"The Evolution of Mechatronics Engineering and Its Relationship with Industry 3.0, 4.0, and 5.0","source":"openalex","abstract":"Mechatronics developed under the influence of the Third Industrial Revolution and was a discipline that provided methods and tools for the development of industrial robots, advanced machine tools, mobile phones, and automobiles, among other sophisticated products. With the emergence of Industry 4.0 in 2011, mechatronics has become indispensable, as traditional production systems are being transformed into cyber-physical systems (CPS), some of which are composed of sophisticated technologies such as Digital Twins (DT) and sophisticated robots, among others. In 2020, the Fifth Industrial Revolution began, giving rise to so-called Human Cyber-Physical Systems (HCPS) and promoting the use of Cobots in industries. Because today’s industrial world is influenced by three active industrial revolutions and two transitions, it is possible to find machines and production systems that were designed with different principles and for different purposes, making it necessary to propose a classification that allows each system to be located according to the premises of its respective industrial revolution. This article analyzes the evolution of mechatronics and proposes a classification of machines and production systems based on the premises of each industrial revolution. The objective is to determine the influence of mechatronics on the different types of machines that exist today and analyze its implications.","url":"https://doi.org/10.3390/technologies14020081","authors":["Eusebio Jiménez López","Juan Palomares","Omar López Chávez","Flavio Muñoz","Luis Andrés García Velásquez","José Guadalupe Castro Lugo"],"tags":["Mechatronics","Industrial Revolution","Engineering","Manufacturing engineering","Production (economics)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-26","doi":"https://doi.org/10.3390/technologies14020081","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4389216282","name":"Development of production and environmental platforms for the European aggregates and minerals industries","source":"openalex","abstract":"Both quantification and communication of environmental impacts can create the foundation for improved sustainable production and decision-making. Without widespread information about site-specific environmental impacts, stakeholders cannot make a well-informed decision based on the local system boundaries. With organization-wide digital platforms, different aspects of production and management can be integrated and customized based on the organization's needs. This paper aims to give an overview of the development of three different process and environmental platforms, their purposes, system structure, system constraints and the applied framework. These respective platforms are being developed separately for the Swedish aggregates industry, the European aggregates industry and the European critical raw materials sector. The initial demonstrator can integrate site-specific information with a simulation-based allocation of resources and generate Life-Cycle Assessment and Environmental Product Declaration reports harmonized with the EN 15804 standard and the associated Product Category Rules.","url":"https://doi.org/10.1016/j.mineng.2023.108519","authors":["Gauti Asbjörnsson","Adam Sköld","Sadeq Zougari","Ann-Gaelle Yar","Nemer Kamel","Sophie Turlur-Chabanon","Kanishk Bhadani","Varun Gowda","Christina Lee","Erik Hulthén","Magnus Evertsson"],"tags":["Production (economics)","Process (computing)","Declaration","Product (mathematics)","Life-cycle assessment"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-11-30","doi":"https://doi.org/10.1016/j.mineng.2023.108519","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7166518362","name":"A review of sensor-based cutting force measurement in machining: from microcontroller systems to smart manufacturing","source":"openalex","abstract":"Cutting force is a key indicator that reflects the mechanical interaction between the cutting tool and the workpiece during machining. It directly influences energy consumption, tool wear, process stability, and machined surface quality. As modern manufacturing increasingly demands efficient, flexible, and sustainable production systems, the development of adaptive, real-time, and cost-effective cutting force measurement technologies has become essential. Previous review studies have primarily focused on cutting force modelling and commercial dynamometer systems, while limited attention has been given to the integration of low-cost sensors, microcontrollers, Internet of Things (IoT) technologies, and smart manufacturing applications. This review aims to evaluate recent developments in sensor- and microcontroller-based cutting force measurement systems and their potential integration within Industry 4.0 environments. The review synthesizes more than 230 references, primarily published between 2020 and 2026, together with selected earlier studies that provide important theoretical and technological foundations. Four main aspects are discussed: (1) theoretical foundations of cutting force, (2) sensor technologies and measurement system architectures, (3) modelling and data analysis methods, and (4) challenges and future development trends. The findings indicate that load cell and strain gauge sensors provide economical and practical solutions for long-term monitoring, whereas piezoelectric sensors remain the preferred option for high-frequency dynamic measurements due to their superior sensitivity and bandwidth. Furthermore, the integration of microcontrollers, IoT connectivity, machine learning, and digital twin technologies is accelerating the development of intelligent machining systems for smart and sustainable manufacturing.","url":"https://doi.org/10.31258/jamt.8.1.21-40","authors":["Yogie Rinaldy Ginting","Selvia Lorena Br Ginting","Sutono Sutono","Romy Romy","Mega Luvita Aulia"],"tags":["Machining","Dynamometer","Machine tool","Process (computing)","Strain gauge"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-25","doi":"https://doi.org/10.31258/jamt.8.1.21-40","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7165639900","name":"AUTOMATION-LED DIGITAL TRANSFORMATION FOR BANKING, INSURANCE, AND MANUFACTURING ENTERPRISES","source":"openalex","abstract":"Automation-led digital transformation has become a strategic priority for enterprises operating in banking, insurance, and manufacturing sectors due to increasing operational complexity, customer expectations, regulatory requirements, and competitive market pressures.Organizations are adopting intelligent automation technologies such as robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), cloud computing, intelligent document processing (IDP), digital twins, and predictive analytics to modernize legacy systems and optimize enterprise workflows.These technologies enable organizations to improve operational efficiency, reduce manual intervention, enhance compliance, strengthen cybersecurity, and deliver data-driven decision-making capabilities across distributed business environments.In the banking industry, automation supports faster transaction processing, fraud detection, personalized financial services, and digital customer onboarding.Insurance enterprises utilize automation to streamline claims processing, underwriting, policy administration, and risk assessment while improving customer engagement and regulatory compliance.Manufacturing organizations leverage industrial automation, Industrial Internet of Things (IIoT), smart factories, and predictive maintenance to","url":"https://doi.org/10.34218/ijdard_03_05_003","authors":["Samiuddin Mohammed"],"tags":["Digital transformation","Automation","Process management","Leverage (statistics)","Intellectualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-15","doi":"https://doi.org/10.34218/ijdard_03_05_003","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7164326121","name":"Cyber-physical multi-energy systems: Towards an integrated energy system – A review","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.rser.2026.117112","authors":["Zoya Pourmirza","Benoit Couraud","Mehmet Bozdal","Sonam Norbu","Jamie Blanche","Clara Crivellaro","Dlzar Al Kez","Merlinda Andoni","Mela Bettega","Ahmad Taha","Valentin Robu","Sara Walker","Aoife Foley","David Flynn"],"tags":["Software deployment","Cyber-physical system","Smart grid","Key (lock)","Systems engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-11","doi":"https://doi.org/10.1016/j.rser.2026.117112","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4398160815","name":"AI Health Agents: Pathway2vec, ReflectE, Category Theory, and Longevity","source":"openalex","abstract":"Health Agents are introduced as the concept of a personalized AI health advisor overlay for continuous health monitoring (e.g. 1000x/minute) medical-grade smartwatches and wearables for “healthcare by app” instead of “sickcare by appointment.” Individuals can customize the level of detail in the information they view. Health Agents “speak” natural language to humans and formal language to the computational infrastructure, possibly outputting the mathematics of personalized homeostatic health as part of their reinforcement learning agent behavior. As an AI health interface, the agent facilitates the management of precision medicine as a service. Healthy longevity is a high-profile area characterized by the increasing acceptance of medical intervention, longevity biotech venture capital investment, and global priority as 2 billion people will be over 65 in 2050. Aging hallmarks, biomarkers, and clocks provide a quantitative measure for intervention. Some of the leading interventions include metformin, rapamycin, spermidine, NAD+/sirtuins, alpha-ketoglutarate, and taurine. AI-driven digital biology, longevity medicine, and Web3 personalized healthcare come together in the idea of Health Agents. This Web3 genAI tool for automated health management, specifically via digital-biological twins and pathway2vec approaches, demonstrates human-AI intelligence amplification and works towards healthy longevity for global well-being.","url":"https://doi.org/10.1609/aaaiss.v3i1.31249","authors":["Melanie Swan","Takashi Kido","Eric Roland","Renato P. dos Santos"],"tags":["Longevity","Health care","Digital health","Internet privacy","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-05-20","doi":"https://doi.org/10.1609/aaaiss.v3i1.31249","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7165895211","name":"Artificial Intelligence-Guided Discovery of Covalent Organic Frameworks for Next-Generation Polyfluoroalkyl Substances Removal","source":"openalex","abstract":"The pervasive threat of per- and polyfluoroalkyl substances (PFAS) necessitates water treatment solutions capable of selective, trace-level removal within chemically complex, high-flux environments. Covalent organic frameworks (COFs) offer an unparalleled platform for such precision remediation through rational pore-surface engineering. However, industrial translation is currently constrained by a multiobjective optimization bottleneck, where adsorption performance must be balanced against manufacturability, end-of-use strategy, and economic viability. In this perspective, we bridge the gap between idealized laboratory studies and industrial requirements, positioning COFs not as bulk sorbent replacements, but as high-fidelity selective polishing layers within hybrid treatment trains. We argue that artificial intelligence (AI) and data-driven methodologies provide a critical framework for navigating this complex landscape, serving as an integrative layer to accelerate candidate screening, refine structure-performance descriptors through characterization-informed feedback, and enable process-aware optimization. Finally, we highlight the current absence of AI-guided discovery strategies explicitly tailored for COF-enabled PFAS removal in realistic aqueous matrices and propose a pragmatic roadmap toward interoperable data sets and closed-loop workflows linking molecular design to manufacturable architectures and real-water performance.","url":"https://doi.org/10.1021/acsami.6c05236","authors":["Asmaa Jrad","Ali Trabolsi"],"tags":["Computer science","Workflow","Nanotechnology","Materials science","Covalent bond"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-25","doi":"https://doi.org/10.1021/acsami.6c05236","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7134930514","name":"Toward sustainable industry: integrating industrial symbiosis, biorefineries, and circular economy for SDG alignment","source":"openalex","abstract":"The global transition toward sustainability requires connected and system wide approaches that go beyond traditional industry boundaries.","url":"https://doi.org/10.1039/d6se00037a","authors":["Arun Barathi","Debajyoti Kundu","Kumari Pooja","Madhava Surya","Samuel Jacob","Palas Samanta","Vineet Kumar","Arindam Kuila"],"tags":["Circular economy","Sustainability","Business","Sustainable development","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1039/d6se00037a","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7147614883","name":"Artificial intelligence-driven and eco-friendly innovations in orthodontics: a review of smart appliances and sustainable technologies","source":"openalex","abstract":"The modern orthodontic practice is slowly being influenced by artificial intelligence and innovations in sustainable materials. This narrative review synthesizes recent literature published between 2015 and 2025 retrieved from major electronic databases including PubMed, Scopus, Web of Science, and Google Scholar, using predefined inclusion criteria focused on AI applications and environmentally sustainable orthodontic technologies. The review explores recent advances in AI-based diagnostic systems, treatment planning tools, and smart monitoring technologies, alongside eco-friendly orthodontic biomaterials and digital manufacturing, which can improve efficiency and outcomes, and means that treatments can be more precise and personalized. Predictive modelling and simulation enhance clear aligner precision, which will be made more effective through integration with patient-specific data, and make it more feasible to develop personalized treatment strategies at a level that could significantly improve patient satisfaction. One of the most promising aspects is the use of biodegradable polymers, recyclable alloys, and sustainable three-dimensional printing processes, which may dramatically reduce material waste and environmental burden. This is particularly significant for sustainable clinical practice. The implementation of AI and sustainable orthodontic technologies is a promising direction for delivering more precise, efficient, and environmentally friendly orthodontic care. However, most systems remain in experimental or early validation stages, and further clinical validation, standardized regulatory approval pathways, and long-term outcome studies are required before widespread routine adoption.","url":"https://doi.org/10.3389/fmats.2026.1782319","authors":["Eman Ibrahim Al Shayea"],"tags":["Environmentally friendly","Narrative review","Risk analysis (engineering)","Sustainability","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-01","doi":"https://doi.org/10.3389/fmats.2026.1782319","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3091162953","name":"6G: Envisioning the Key Technologies, Applications and Challenges","source":"openalex","abstract":"In 2030, 6G is going to bring remarkable revolution in communication technologies as it will enable Internet of Everything. Still many countries are working over 5G and B5G has yet to be developed, while some research groups have already initiated projects on 6G. 6G will provide high and sophisticated QoS e.g. virtual reality and holographic communication. At this stage, it is impossible to speculate every detail of 6G and which key technologies will mark 6G. The wide applications of ICT, such as IoT, AI, blockchain technology, XR (Extended Reality) and VR (Virtual Reality), has created the emergence of 6G technology. On the basis of 5G technique, 6G will put profound impact over ubiquitous connectivity, holographic connectivity, deep connectivity and intelligent connectivity. Notably, research fraternity should focus on challenges and issues of 6G. They need to explore various alternatives to meet desired parameters of 6G. Thus, there are many potential challenges to be envisioned. This review study outlines some future challenges and issues which can hamper deployment of 6G. We subsequently define key potential features of 6G to provide the state of the art of 6G technology for future research. We have provided a review of extant research on 6G. In this review, technology prospects, challenges, key areas and related issues are briefly discussed. In addition, we have provided technologies breakdown and framework of 6G. We have shed light over future directions, applications and practical considerations of 6G to help researchers for possible breakthroughs. Our aim is to aggregate the efforts and eliminate the technical uncertainties towards breakthrough innovations for 6G.","url":"https://doi.org/10.14569/ijacsa.2020.0110903","authors":["Syed Agha Hassnain Mohsan","Alireza Mazinani","Warda Malik","Imran Younas","Nawaf Qasem","Hussain Amjad","Arfan Mahmood"],"tags":["Computer science","Key (lock)","The Internet","Software deployment","Data science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-01-01","doi":"https://doi.org/10.14569/ijacsa.2020.0110903","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4391115129","name":"Understanding integration issues in intelligent transportation systems with IoT platforms, cloud computing, and connected vehicles","source":"openalex","abstract":"The fast improvements in information and communication technology have altered the transportation business, resulting in intelligent transportation systems (ITS) that aim to improve transportation network safety, efficiency, and sustainability. Cloud computing, networked automobiles, and IoT platforms are driving this shift. Infrastructure for current civilization must include transport. The effectiveness of transport infrastructure is vital for all countries’ individual mobility, trade, and economic development. Traffic congestion, fuel price increases, and CO2 emissions have all increased in recent years, posing problems for modern civilization. It is crucial to improve transportation efficiency and safety. To develop a sustainable, intelligent transportation system, it is necessary to seamlessly integrate and interoperate with cutting-edge technologies like linked cars, the Internet of Things (IoT), and cloud computing. To respond to difficulties facing the transportation industry, which include rising fuel costs, high CO2 emissions, expanding congestion in traffic, and greater dangers on the highway, integration concerns must be concluded.","url":"https://doi.org/10.32629/jai.v7i4.1043","authors":["Rupesh Shukla","Anish Kumar Choudhary","Vimal Kumar","Priyanka Tyagi","A. Mutharasan","Sumita Kumar","Shashi Kant Gupta"],"tags":["Cloud computing","Intelligent transportation system","Interoperability","Internet of Things","Traffic congestion"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-01-23","doi":"https://doi.org/10.32629/jai.v7i4.1043","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7135015176","name":"Cybersecurity Digital Twins for Industrial Systems: From Literature Synthesis to Framework Design","source":"openalex","abstract":"Digital Twins (DTs) are increasingly recognized as a strategic technology for enhancing cybersecurity in industrial environments, particularly in the face of rising threats targeting Operational Technology (OT). After comparatively examining closely related DT–cybersecurity frameworks to position the contribution within the existing research landscape, this paper presents a systematic literature review and comparative analysis of 19 recent DT-based cybersecurity studies, focusing on their relevance to incident detection and response in sectors such as Industrial Internet of Things (IIoT), manufacturing, and energy. The analysis evaluates each study across multiple dimensions, including attack types, detection and response mechanisms, DT integration, and technology stacks. From this review, we derive a consolidated set of requirements, categorized as functional, non-functional, security-specific, and domain-specific. These requirements serve as the foundation for a novel, cybersecurity-focused, ISO 23247-based framework. The proposed architecture formalizes a DT-enabled incident detection and response lifecycle aligned with ISO 23247. It is explicitly mapped to the derived requirements and detailed with practical implementation considerations. This work contributes a structured, evidence-based approach to DT-based security engineering and offers a reference design for researchers and practitioners aiming to build resilient, adaptive cybersecurity solutions in industrial settings.","url":"https://doi.org/10.3390/info17030286","authors":["Konstantinos E. Kampourakis","Vasileios Gkioulos","Sokratis Katsikas"],"tags":["Relevance (law)","Computer security","Computer science","Set (abstract data type)","Position paper"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-12","doi":"https://doi.org/10.3390/info17030286","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4377145640","name":"Microbial Polysaccharide-Based Formulation with Silica Nanoparticles; A New Hydrogel Nanocomposite for 3D Printing","source":"openalex","abstract":"Natural polysaccharides are highly attractive biopolymers recommended for medical applications due to their low cytotoxicity and hydrophilicity. Polysaccharides and their derivatives are also suitable for additive manufacturing, a process in which various customized geometries of 3D structures/scaffolds can be achieved. Polysaccharide-based hydrogel materials are widely used in 3D hydrogel printing of tissue substitutes. In this context, our goal was to obtain printable hydrogel nanocomposites by adding silica nanoparticles to a microbial polysaccharide's polymer network. Several amounts of silica nanoparticles were added to the biopolymer, and their effects on the morpho-structural characteristics of the resulting nanocomposite hydrogel inks and subsequent 3D printed constructs were studied. FTIR, TGA, and microscopy analysis were used to investigate the resulting crosslinked structures. Assessment of the swelling characteristics and mechanical stability of the nanocomposite materials in a wet state was also conducted. The salecan-based hydrogels displayed excellent biocompatibility and could be employed for biomedical purposes, according to the results of the MTT, LDH, and Live/Dead tests. The innovative, crosslinked, nanocomposite materials are recommended for use in regenerative medicine.","url":"https://doi.org/10.3390/gels9050425","authors":["Maria Minodora Marin","Ioana Cătălina Gîfu","Grațiela Grădișteanu Pîrcălăbioru","Mădălina Georgiana Albu Kaya","Rodica Roxana Constantinescu","Rebeca Leu Alexa","Bogdan Trică","Elvira Alexandrescu","Cristina Lavinia Nistor","Cristian Petcu","Raluca Ianchiş"],"tags":["Nanocomposite","Biocompatibility","Self-healing hydrogels","Biopolymer","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-05-19","doi":"https://doi.org/10.3390/gels9050425","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4393004693","name":"Innovation 4.0 Policies in Italy: Strengths and Weaknesses of the Innovation Ecosystem of the “Transition 4.0” Plan from an International Perspective","source":"openalex","abstract":"Innovation 4.0 is a strategic lever of industrial policies. That is the reason why, over the last decade, many European countries have introduced national plans to implement it in their economic fabric. Within this context, this paper focuses on the effects of Industry 4.0 policies in Italy and Europe by presenting the results of a research study on the national and continental ecosystems of innovation. In particular, the study was conducted by involving the main key bodies introduced by the “Transition 4.0” plan in Italy: Competence Centers (CCs), Digital Innovation Hubs (DIHs), and Punti Impresa Digitale (PID). The study adopted a qualitative–quantitative approach: an analysis of gray literature, semi-structured interviews, and a survey involving Italian and European DIHs were carried out. The results highlight an ambivalent scenario: on the one hand, the research suggests that the consolidation of the ecosystems of innovation is underway in Italy and relies on good organizational capacity; on the other hand, the international comparison indicates that the Italian system still suffers from a marked territorial and institutional fragmentation that needs to be addressed in the coming years.","url":"https://doi.org/10.3390/soc14030042","authors":["Francesco Orazi","Federico Sofritti"],"tags":["Competence (human resources)","Consolidation (business)","Strengths and weaknesses","Business","Regional science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-03-19","doi":"https://doi.org/10.3390/soc14030042","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W4411096276","name":"Global Research Trends in AI and Blockchain for Smart Grids: A Bibliometric Analysis with a Focus on Morocco (2014–2024)","source":"openalex","abstract":"As Information and Communication Technologies (ICTs) are increasingly incorporated into energy systems, smart grids are becoming essential parts of modern energy infrastructures. However, this integration exposes them to significant cybersecurity risks, highlighting the need for effective prevention and mitigation strategies to enhance resilience. Due to their promising implications, blockchain and artificial intelligence (AI) have emerged as key technologies to strengthen security, improve data analysis, and optimize processes in smart grids. This bibliometric study investigates key trends, opportunities, and evolving dynamics within the field, analyzing a dataset of 9611 articles from the Scopus database, covering the period 2014–2024. To evaluate the research, we utilized a range of bibliometric tools, including Bibliometrix R, VOSviewer, and Python. We used these tools to identify impactful articles. We also analyzed country and institutional productivity, assessed prolific authors, and uncovered emerging trends. The findings highlight a shift towards advanced smart grids incorporating AI and blockchain, with significant progress in Morocco’s research since 2016. Morocco ranks 36th globally and 3rd in Africa, contributing to the National Digital Morocco 2030 Strategy, which promotes digital transition and innovation, particularly in smart grids, to bolster the country’s energy system.","url":"https://doi.org/10.3390/electronics14122314","authors":["Anass Betouil","Samia El Haddouti","Habiba Chaoui"],"tags":["Blockchain","Focus (optics)","Data science","Computer science","Regional science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-06","doi":"https://doi.org/10.3390/electronics14122314","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W3113684461","name":"ESSENTIAL OIL EXTRACTION INDUSTRY: EXPLORING THE STRATEGIC TECHNOLOGY DIMENSION","source":"openalex","abstract":"This paper aims at the potential and unexplored improvements imbedded in the essential oil (EO) extraction processes. These processes are worldwide recognized by their low yields and high energy demands, becoming a target to be addressed to improve cost, reliability and quality indicators. A strategic thinking is presented, as a guide, with focus on enabling better business results through the TDC (Total Delivered Cost) optimization and the impact over gross margin in this promising segment. A basic process was evaluated, step by step, to then add technology improvements. The resulting impacts were assessed, improving yield from 1% to 1.2%. Such improvements are discussed in terms of digital technology contribution with the expected positive effects.","url":"https://doi.org/10.5151/siintec2020-essentialoil","authors":["Carlos Alberto Tosta Machador","Herman Augusto Lepikson","Matheus Antônio Nogueira de Andrade","Yasmim Thasla Santos Ferreira","Sara Freitas Santos Vasconcelos"],"tags":["Dimension (graph theory)","Reliability (semiconductor)","Process (computing)","Computer science","Petroleum industry"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-12-01","doi":"https://doi.org/10.5151/siintec2020-essentialoil","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7163595581","name":"SA-DTS: Semantic-Aware Digital Twin Synchronization over 6G Networks","source":"openalex","abstract":"Digital Twins (DTs) are emerging as a cornerstone of the 6G vision, enabling real-time cyber-physical mirroring for smart manufacturing, autonomous vehicles, and remote healthcare. However, maintaining high-fidelity synchronization at scale demands an enormous and sustained uplink bandwidth, threatening both the feasibility and the energy efficiency of large deployments. We propose a Semantic-Aware DT Synchronization (SA-DTS) framework that radically redefines the synchronization pipeline: instead of streaming raw sensor or video data, a lightweight neural semantic encoder at the physical-world source extracts only task-relevant features and transmits compact semantic descriptors over the 6G air interface. At the DT replica, a paired decoder coupled with a dynamic Knowledge Graph (KG) reconstructs the full contextual state. A hierarchical KG partitioning strategy with an adaptive partition count $G = \\lceil N / \\log_2 N \\rceil$ ensures that aggregate update overhead scales as $O(N \\log N)$ rather than $O(N^2)$, making the framework viable for deployments with hundreds of simultaneously twinned entities. Extensive simulations on three canonical DT workloads -- industrial robot control, patient-monitoring, and vehicular platooning -- demonstrate bandwidth savings of up to 94%, end-to-end synchronization latency reductions of 87%, and KG-assisted state-reconstruction accuracy exceeding 97%, all under realistic 6G channel conditions. Empirical correlation confirms that the proposed Semantic Fidelity Score tracks standard task metrics (collision accuracy, alarm F1, spacing deviation) with Pearson $r > 0.97$ (95% CI: [0.961, 0.982]). Our results reveal that semantic communication is not merely a compression tool but a fundamental enabler for truly real-time, scalable DT ecosystems.","url":"https://openalex.org/W7163595581","authors":["Vincenzo Sammartino"],"tags":["Computer science","Real-time computing","Scalability","Synchronization (alternating current)","Encoder"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-02","doi":"","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7158431113","name":"Structural state mapping and visual analysis of industrial robots based on digital twins","source":"openalex","abstract":"With the rapid development of intelligent manufacturing, digital twin technology is increasingly widely used in industrial robot technology. However, traditional finite element simulation is computationally intensive, making it difficult to meet the needs of real-time interactive systems. To resolve the contradiction between computational accuracy and real-time performance, this paper proposes a lightweight digital twin framework based on “offline simulation + online mapping” to achieve efficient structural response prediction and visualization. First, this study establishes a 3D model of the industrial robot and imports it into Abaqus software for multi-condition static analysis, generating multiple sets of offline databases. Then, an inverse distance weighted interpolation algorithm is introduced to estimate the results under uncalculated conditions based on existing data. Finally, Unity3D is used to achieve visualization. Experimental results show that the proposed method improves computational efficiency and accuracy. The proposed method compresses the finite element solution time from tens of seconds to milliseconds, meeting the requirements of real-time interaction. Accuracy verification shows that the inverse distance weighted interpolation algorithm maintains a maximum relative error of less than 3% at unsampled posture nodes. Furthermore, data analysis reveals a significant “spatial clustering” characteristic in the maximum equivalent stress, mainly concentrated in the base, wrist joint, and elbow joint regions. These results demonstrate that the proposed system not only achieves high-fidelity real-time visualization and monitoring of structural response but also provides quantitative theoretical guidance for structural optimization and low-cost sensor network deployment in practical engineering.","url":"https://openalex.org/W7158431113","authors":["Jiamu Liu"],"tags":["Computer science","Robot","Interpolation (computer graphics)","Industrial robot","Visualization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7124600317","name":"Cloud Native Fintech Analytics Platform for IoT Enabled Retail Networks","source":"openalex","abstract":"The rapid digital transformation of retail ecosystems has accelerated the adoption of Internet of Things (IoT) technologies alongside fintech driven payment and financial management systems. Smart point-of-sale terminals, connected inventory systems, and sensor enabled retail environments continuously generate large volumes of heterogeneous, high velocity data. However, traditional on premise analytics infrastructures face significant limitations in handling the scale, real time processing requirements, and integration complexity associated with these data streams. As a result, retailers often experience delayed financial insights, limited fraud detection capabilities, and inefficient operational decision-making. To address these challenges, this paper proposes a cloud native fintech analytics platform specifically designed for IoT-enabled retail networks. The proposed architecture integrates real time data ingestion pipelines, scalable cloud-based analytics services, and intelligent financial insight generation within a unified framework. By leveraging cloud-native design principles such as microservices, container orchestration, and event driven processing, the platform enables elastic scalability, high availability, and fault tolerance while reducing infrastructure and maintenance overhead. The system supports real time transaction monitoring, contextual fraud detection through IoT data correlation, and advanced business intelligence for retail operations. Experimental evaluation using simulated retail workloads demonstrates significant improvements in transaction processing latency, anomaly detection accuracy, and system resilience when compared with conventional monolithic retail analytics systems. The results highlight the effectiveness of cloud-native approaches in supporting data intensive fintech applications and confirm their suitability for next-generation smart retail environments that demand agility, scalability, and real-time financial intelligence.","url":"https://doi.org/10.30574/wjaets.2026.18.1.1582","authors":["S M Mobasshir Islam Sharan","MD Akiful Islam Fahim","Hamza Farooq"],"tags":["Analytics","Cloud computing","Computer science","Big data","Resilience (materials science)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-17","doi":"https://doi.org/10.30574/wjaets.2026.18.1.1582","addedAt":"2026-09-01T01:47:46.151Z","updatedAt":"2026-09-01T01:47:46.151Z"},{"id":"oa:W7128716215","name":"Cold sintering for in-space materials fabrication: a science, engineering, and future directions","source":"openalex","abstract":"Abstract The Cold Sintering Process (CSP) has recently emerged as a transformative approach for densifying ceramics and composites at temperatures below 300 °C using pressure-assisted dissolution–precipitation. This low-energy route is particularly compelling for in-situ resource utilization (ISRU) in extraterrestrial environments, where transporting construction materials from Earth is impractical. This review critically examines the potential of CSP for fabricating structural and functional materials in space, spanning lunar, Martian, orbital, deep-space, and asteroid contexts. We analyze the fundamental mechanisms of CSP, recent experimental demonstrations on lunar and Martian regolith simulants, and its integration with additive manufacturing, robotics, and artificial intelligence. Case studies highlight the production of high-strength regolith bricks (> 200 MPa) at low energy cost, showing CSP’s feasibility for building load-bearing structures on the Moon and Mars. We further explore frontier applications, including radiation shielding, multifunctional composites, and autonomous construction systems. Challenges such as solvent sourcing, high-pressure requirements, and environmental constraints are discussed in detail. Finally, we outline research directions toward scaling CSP for large habitats, integrating it with space architecture, and deploying it as part of closed-loop resource systems. CSP is positioned as a cornerstone technology for sustainable space infrastructure, enabling humankind to build resilient habitats and functional systems beyond Earth.","url":"https://doi.org/10.1007/s41939-026-01182-1","authors":["Kaveh Rahimi Mamaghani","Nader Parvin"],"tags":["Regolith","Martian","Astrobiology","Mars Exploration Program","Resource (disambiguation)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-02-12","doi":"https://doi.org/10.1007/s41939-026-01182-1","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4415284130","name":"Performance-Based Maintenance and Operation of Multi-Campus Critical Infrastructure Facilities Using Supply Chain Multi-Choice Goal Programming","source":"openalex","abstract":"Building maintenance is a critical component of ensuring long-term performance, safety, and cost-efficiency in both conventional and critical infrastructures. While traditional contracting approaches have often led to inefficiencies and rigid procurement systems, recent developments in performance-based maintenance, digital technologies, and multi-objective optimization provide opportunities to enhance both operational reliability and energy performance. From a resilience perspective, the ability to sustain functionality, adapt maintenance intensity, and recover performance under resource or operational stress is essential for ensuring infrastructure continuity and resilience. This study develops and validates an optimization model for the operation and maintenance of large campus infrastructures, addressing the persistent imbalance between over-maintenance, where costs exceed optimal levels by up to 300%, and under-maintenance, which compromises performance continuity and weakens resilience over time. The model integrates maintenance efficiency indicators, building performance indices, and energy-efficiency retrofits, particularly LED-based lighting upgrades, within a multi-choice goal programming framework. Using datasets from 15 campuses comprising over 2000 buildings, the model was tested through case studies, sensitivity analyses, and simulations under varying facility life cycle expectancies. The facilities were analyzed for alternative life cycles of 25, 50, 75, and 90 years, and the design life cycle was set for 50 years. The results show that the optimized approach can reduce maintenance costs by an average of 34%, with savings ranging from 1% to 55% across campuses. Additionally, energy retrofit strategies such as LED replacement yielded significant economic and environmental benefits, with payback periods of approximately 2–2.5 years. The findings demonstrate that integrated maintenance and energy-efficiency planning can simultaneously enhance building performance, reduce costs, and support sustainability objectives, offering a practical decision-support tool for managing large-scale campus infrastructures.","url":"https://doi.org/10.3390/app152011161","authors":["Igal M. Shohet","S. N. Levi","Reem Zeibak-Shini","Fadi Shahin"],"tags":["Procurement","Resilience (materials science)","Supply chain","Computer science","Goal programming"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-10-17","doi":"https://doi.org/10.3390/app152011161","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7135223915","name":"The Material Passport for a Circular Construction Industry: A PRISMA Based Systematic Review","source":"openalex","abstract":"Circular economy (CE) adoption in the Architecture, Engineering, and Construction (AEC) industry is hampered by data scarcity. Material Passports (MPs) are crucial for bridging this gap. Despite recent momentum, remaining uncertainties and the lack of industry-wide consensus on MPs risk fragmented adoption. This article presents a Systematic Literature Review (SLR) following the PRISMA methodology. A total of 54 peer-reviewed articles and book chapters were screened from the Scopus database, of which 46 were included for in-depth analysis in April 2025. Among the included studies, 65% focused primarily on MPs, while 35% addressed MPs within the broader context of a CE. The analysis underscores the role of MPs in advancing a CE, although definitions and scopes vary among authors. Findings show a recent, heterogeneous, and rapidly growing research landscape, with limited synergies with existing construction datasets; significant implementation challenges, particularly for existing buildings; and potential for digital tools to address these challenges by improving cohesion, enabling dynamic updates, and enhancing interoperability. Theoretically, this article clarifies the relationships and gaps between MPs, Digital Product Passports, and Digital Building Logbooks. Practically, it highlights the need for cohesive adoption strategies, unified standards, stakeholder collaboration, clear responsibilities, and regulatory support to enable the large-scale adoption of MPs.","url":"https://doi.org/10.3390/su18062858","authors":["Hajar El Ammari","Annie Guerriero"],"tags":["Bridging (networking)","Scopus","Stakeholder","Systematic review","Context (archaeology)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-03-13","doi":"https://doi.org/10.3390/su18062858","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4385950525","name":"VibHead: An Authentication Scheme for Smart Headsets through Vibration","source":"openalex","abstract":"Recent years have witnessed the fast penetration of Virtual Reality (VR) and Augmented Reality (AR) systems into our daily life, the security and privacy issues of the VR/AR applications have been attracting considerable attention. Most VR/AR systems adopt head-mounted devices (i.e., smart headsets) to interact with users and the devices usually store the users’ private data. Hence, authentication schemes are desired for the head-mounted devices. Traditional knowledge-based authentication schemes for general personal devices have been proved vulnerable to shoulder-surfing attacks, especially considering the headsets may block the sight of the users. Although the robustness of the knowledge-based authentication can be improved by designing complicated secret codes in virtual space, this approach induces a compromise of usability. Another choice is to leverage the users’ biometrics; however, it either relies on highly advanced equipments which may not always be available in commercial headsets or introduce heavy cognitive load to users. In this paper, we propose a vibration-based authentication scheme, VibHead, for smart headsets. Since the propagation of vibration signals through human heads presents unique patterns for different individuals, VibHead employs a CNN-based model to classify registered legitimate users based the features extracted from the vibration signals. We also design a two-step authentication scheme where the above user classifiers are utilized to distinguish the legitimate user from illegitimate ones. We implement VibHead on a Microsoft HoloLens equipped with a linear motor and an IMU sensor which are commonly used in off-the-shelf personal smart devices. According to the results of our extensive experiments, with short vibration signals (≤ 1s ), VibHead has an outstanding authentication accuracy; both FAR and FRR are around 5%.","url":"https://doi.org/10.1145/3614432","authors":["Feng Li","Jiayi Zhao","Huan Yang","Dongxiao Yu","Yuanfeng Zhou","Yiran Shen"],"tags":["Computer science","Usability","Leverage (statistics)","Virtual reality","Human–computer interaction"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-08-17","doi":"https://doi.org/10.1145/3614432","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7155503288","name":"Achieving Sustainable Manufacturing Through Digital Leadership","source":"openalex","abstract":"This study investigates the organizational drivers of sustainability performance in the manufacturing sector and proposes and tests an integrated model grounded in dynamic capability theory. Using structural equation modeling on empirical data, it examines the role of digital leadership as a catalyst for sustainable practices, mediated by digital knowledge management and organizational resilience. The findings confirm that digital leadership exerts a significant total effect on sustainability outcomes. Crucially, this influence is primarily channeled through two parallel mediating pathways: by building organizational resilience and by establishing systematic digital knowledge management. The model demonstrates high explanatory power, revealing that sustainability performance is a systemic achievement, dependent on the synergistic interaction of strategic leadership, institutionalized learning, and adaptive capacity.","url":"https://doi.org/10.4018/joeuc.408168","authors":["Zhihong Ge","He Linghe","Mohammed Arshad Khan","Shahid Alam","Wafa Ghardallou","Jolita Vveinhardt"],"tags":["Sustainability","Knowledge management","Business","Structural equation modeling","Process management"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-24","doi":"https://doi.org/10.4018/joeuc.408168","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W2792103384","name":"A Random Forest Approach for Predicting Online Buying Behavior of Indian Customers","source":"openalex","abstract":"Online retailing in India has shown remarkable growth in the recent years. Despite having a low internet penetration rate of 34.5%, India has the second largest number of internet users in the world after China. Given the growing importance of the online retail industry in India and its diverse set of sensitivities and region wise socio-psychological barriers, it is imperative for retailers to understand customer shopping preferences. In this paper, we attempt to understand various factors influencing the online buying behavior of Indian customers in different product categories, across geographic locations in India. Also, we developed and validated the Random Forest prediction model for each identified product category, to understand if the Indian online shopping market is ready for these product categories or the traditional channel is preferred over by customer. A questionnaire based survey is used to collected data from 124 Indian respondents from 18 states of India. The survey captured from both offline and online shopping environment to aggregate understanding of customers’ shopping preferences. The high Sensitivity (above 85%) of the Random Forest model for Books and Electronics categories suggests inclination of purchase intension of customer towards online shopping. Retailers can use this model to predict the buying behavior of customers based on the location. However, for product categories like Movies, Sports equipment and Handbags, the high value of Specificity signifies the model prediction towards offline purchase intensions. So for these product categories retailers may like to focus more on customer services at retail stores.","url":"https://doi.org/10.4236/tel.2018.83032","authors":["Rohit Joshi","Rohan Gupte","Palanisamy Saravanan"],"tags":["Marketing","Business","Advertising","Product (mathematics)","Intension"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2018-01-01","doi":"https://doi.org/10.4236/tel.2018.83032","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4402542712","name":"Towards integrative multi‐stakeholder responsibility for net zero in e‐waste: A systematic literature review","source":"openalex","abstract":"Abstract Despite extensive research on e‐waste management, the integrative responsibilities of multi‐stakeholders and the dependency on technology remain underexplored. This study aims to develop an integrative multi‐stakeholder responsibility model to advance the net‐zero goal in e‐waste management. Following the PRISMA protocol, we conducted a systematic review of 99 articles. The review revealed three themes of stakeholder responsibility, four performance measure categories, three e‐waste solutions, and four roles of smart technologies. These insights informed the development of a conceptual model to enhance environmental performance in e‐waste. The proposed model emphasises critical attributes of multi‐stakeholder relationships, including partnership, shared responsibility, inclusiveness, and transparency; it offers practical guidance for multi‐stakeholders in prioritising efficient and mature technologies to be adopted and diffused, enabling effective e‐waste management. Our study extends stakeholder theory from an organisation‐centric to a problem‐based perspective, highlighting its practical implications for effective e‐waste management and suggesting future research directions for sustainability.","url":"https://doi.org/10.1002/bse.3960","authors":["Dongmei Cao","Elmar Puntaier","Fatima Gillani","Dennis Chapman","Sunita Dewitt"],"tags":["Stakeholder","Zero (linguistics)","Zero waste","Business","Systematic review"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-09-14","doi":"https://doi.org/10.1002/bse.3960","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4381430666","name":"Initiatives to Achieve the IOWN (Innovative Optical and Wireless Network) Concept","source":"openalex","abstract":"NTT proposed the IOWN (/a n/: Innovative Optical and Wireless Network) concept, which is a future communication infrastructure that uses leading-edge optical and information processing technologies to create a smart world. Beyond the limits of existing infrastructure, it will also enable the creation of an affluent and diverse society. Together with Intel and Sony, NTT established the IOWN Global Forum to promote IOWN jointly with partners from various industries who have extensive knowledge and insight.","url":"https://doi.org/10.53829/ntr202002iw1","authors":["Shigeru Iwashina","Yosuke Aragane","Kunihiko Minamihata","K. Shindo","Masakatsu Fujiwara"],"tags":["Wireless network","Telecommunications","Wireless","Computer science","Computer network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2020-02-01","doi":"https://doi.org/10.53829/ntr202002iw1","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7165387419","name":"Twin transition in manufacturing firms: The role of supply chain orchestration and supply chain business model innovation","source":"openalex","abstract":"Twin transition, the concurrent development of digitalization practices and circular practices, are believed to be the key to firm performance. However, empirical evidence is currently scarce regarding the effect of twin transition on firm performance and the complementary practices that enable and realize it. This study draws on a survey of 188 Swedish manufacturing firms and employs PLS structural equation modelling to test the hypothesis. The results indicate that firm performance can be improved through digitalization practices but with circular practices as a mediator. Moreover, our results show a significant and positive moderation effect of supply chain orchestration and supply chain business model innovation as complementary mechanisms for enabling and realizing the process. This implies time sequencing between the two twin transition dimensions. These results carry theoretical implications for twin transition research and circular economy literatures. The results also provide novel managerial insights by showing that digital investments must be coupled with early orchestration of supply chain partners and aligned business model innovation to effectively scale circular practices and realize performance benefits.","url":"https://doi.org/10.1016/j.technovation.2026.103626","authors":["Debadrita Panda","Vinit Parida","Johan Frishammar"],"tags":["Orchestration","Supply chain","Moderation","Business","Industrial organization"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-06-20","doi":"https://doi.org/10.1016/j.technovation.2026.103626","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4402854576","name":"An Analysis of European Data and AI Regulations for Automotive Organizations","source":"openalex","abstract":"This report summarizes the European Union's series of data and AI regulations and analyzes them for managers in automotive vehicle manufacturing organizations. In particular, we highlight the relevant ideas of the regulations, including how they find their roots in earlier legislation, how they contradict and complement each other, as well as the business opportunities that these regulations offer. The structure of the report is as follows. First, we address the GDPR as the cornerstone against which the requirements of other regulations are weighed and legislated. Second, we explain the EU Data Act since it directly addresses Internet of Things (IoT) for businesses in the private sector and imposes strict requirements on large data generators such as vehicle manufacturers. For manufacturers, compliance with the EU Data Act is a prerequisite for the subsequent legislation, in particular the EU AI Act. Third, we explain the Data Governance Act, Digital Services Act, Digital Markets Act, and EU AI Act in chronological order. Overall, we characterize European Union data regulations as a wave set, rooted in historical precedent, with important implications for the automotive industry.","url":"https://doi.org/10.48550/arxiv.2407.11271","authors":["Charlotte Arghavan Shahlaei","Nicholas Berente"],"tags":["Automotive industry","Business","Manufacturing engineering","Industrial organization","Engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-07-15","doi":"https://doi.org/10.48550/arxiv.2407.11271","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4385348923","name":"Just Keep Rolling?—An Encompassing Review towards Accelerated Vaccine Product Life Cycles","source":"openalex","abstract":"In light of the recent pandemic, several COVID-19 vaccines were developed, tested and approved in a very short time, a process that otherwise takes many years. Above all, these efforts have also unmistakably revealed the capacity limits and potential for improvement in vaccine production. This review aims to emphasize recent approaches for the targeted rapid adaptation and production of vaccines from an interdisciplinary, multifaceted perspective. Using research from the literature, stakeholder analysis and a value proposition canvas, we reviewed technological innovations on the pharmacological level, formulation, validation and resilient vaccine production to supply bottlenecks and logistic networks. We identified four main drivers to accelerate the vaccine product life cycle: computerized candidate screening, modular production, digitized quality management and a resilient business model with corresponding transparent supply chains. In summary, the results presented here can serve as a guide and implementation tool for flexible, scalable vaccine production to swiftly respond to pandemic situations in the future.","url":"https://doi.org/10.3390/vaccines11081287","authors":["Janis Stiefel","Jan Zimmer","Jeffrey L. Schloßhauer","Agnes Vosen","Sarah Kilz","Sascha Balakin"],"tags":["Product (mathematics)","Production (economics)","Computer science","Stakeholder","Risk analysis (engineering)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-07-27","doi":"https://doi.org/10.3390/vaccines11081287","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7117311641","name":"Safe reinforcement learning with online filtering for fatigue-predictive human–robot task planning and allocation in production","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jmsy.2025.12.019","authors":["Jintao Xue","Xiao Li","Nianmin Zhang"],"tags":["Task (project management)","Reinforcement learning","Computer science","Estimator","Process (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-12-26","doi":"https://doi.org/10.1016/j.jmsy.2025.12.019","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7161986818","name":"TWINE: ISO 23247-compliant digital twin and explainable AI framework for anomaly detection","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.iot.2026.101976","authors":["Mubashar Iqbal","Sabah Suhail","Simon Freudenthaler","Muhammad Fahim","Raimundas Matulevičius"],"tags":["Computer science","Artificial intelligence","Anomaly detection","Pattern recognition (psychology)","Data mining"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-21","doi":"https://doi.org/10.1016/j.iot.2026.101976","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4391884849","name":"Environmental Aspects of 3D Printing Metal and Alloys","source":"openalex","abstract":"3D printing is a revolutionary manufacturing technique with several advantages over traditional manufacturing processes. This technology has vast applications from aerospace to the food industry, construction of solid architectural buildings, brittle glass, and rugged titanium products. It also reduces specific energy demand during processes and lowers carbon footprints. During 3D printing, various metals like titanium, zinc, cobalt, and iron, result in hazardous waste emissions during their metal printing process. These emissions include volatile organic compounds (VOCs), nanoparticles of metals, particulate matter, fumes, and oxides of metals. Exposure to these waste products leads to serious health problems related to the respiratory system, dermal and ocular issues. Emissions penetrate the skin and reach the tissue level, leading to pulmonary inflammation, allergies, and other related health issues for nearby workers. So, proper safety precautions must be taken while using 3D printing technology. This review addresses the environmental aspects of 3D printing metals and alloys as metal 3D printing has become very popular in schools, colleges, and research institutions.","url":"https://doi.org/10.1002/9781394198085.ch12","authors":["Palivela Bhargav Chandan","Pranav G. Bhat","Sangeeth Purushothaman","Devara Venkata Krishna","Tadi Siva Prasad","Aye Aye Thet","Mamilla Ravi Sankar"],"tags":["3D printing","Metallurgy","Metal","Materials science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2024-02-16","doi":"https://doi.org/10.1002/9781394198085.ch12","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7119518951","name":"Computational Design Strategies and Software for Lattice Structures and Functionally Graded Materials","source":"openalex","abstract":"This study presents a comparative analysis of software platforms and computational methods used in the design of three-dimensional lattice structures and functionally graded materials (FGMs). Through systematic evaluation of 31 computational platforms across seven critical criteria (lattice type support, parametric control, conformal generation, multi-material capabilities, ease of use, FEA integration, and AM compatibility), this review identifies that specialized platforms significantly outperform general-purpose CAD tools, with scores exceeding 30/35 points compared to 15–20/35 for conventional systems. The analysis reveals that implicit and voxel-based representations dominate high-performance applications, while traditional boundary-representation methods approach fundamental limitations for complex lattice generation. Emerging machine learning-driven frameworks demonstrate 82% reduction in optimization iterations through Bayesian optimization and achieve property prediction speedups of nearly 100× compared to computational homogenization, enabling rapid inverse design workflows previously computationally infeasible. These insights provide researchers with evidence-based guidance for selecting computational approaches aligned with specific manufacturing capabilities and design objectives.","url":"https://doi.org/10.3390/jcs10010032","authors":["Delia Alexandra Prisecaru","Oliver Ulerich","Andrei Călin","Georgiana Ionela Paduraru"],"tags":["Workflow","Computer science","Software","Parametric statistics","Computational complexity theory"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-08","doi":"https://doi.org/10.3390/jcs10010032","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7172496761","name":"Operator-in-the-Loop Digital Twin Enabled Augmented Reality for Assembly Quality Assurance","source":"openalex","abstract":"Ensuring dimensional and geometric quality during manual and semi-automated assembly remains challenging in low-volume, high-complexity manufacturing systems. Operator variability, incomplete process standardization, and part-level geometric deviations frequently lead to tolerance non-conformities, rework, and installation delays. While digital twins offer strong potential for process monitoring and optimization, their integration with human operators during assembly execution remains limited. This paper proposes an operator-in-the-loop digital twin (OIL-DT) framework for tolerance-driven assembly quality assurance, in which augmented reality (AR) serves as a real-time interaction layer between digital and physical domains. The framework integrates CAD-based geometric models, assembly process plans, and tolerancing intent within a cyber–physical architecture, enabling spatially registered guidance and real-time alignment verification during assembly execution. Unlike instruction-centric AR systems, the proposed framework embeds executable tolerance constraints directly into assembly execution. A Design for Six Sigma (DMADV) logic is adopted to ensure traceable links between quality requirements, tolerancing specifications, and AR-based enforcement mechanisms. The framework is experimentally validated on the assembly of a hybrid renewable energy generation unit. Compared with conventional procedures, the AR-enabled approach reduced installation time and eliminated recurring tolerance-related interruptions previously causing extended delays. The results demonstrate that embedding tolerance enforcement and execution traceability within an OIL-DT can significantly improve assembly robustness and consistency without reducing operator autonomy.","url":"https://doi.org/10.1016/j.procir.2026.03.136","authors":["Sasan Sattarpanah Karganroudi","Ahmad Aminzadeh","Milad Rahimi Moghaddam","Souheil Antoine Tahan"],"tags":["Augmented reality","Quality assurance","Systems engineering","Computer science","Engineering drawing"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1016/j.procir.2026.03.136","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4387004154","name":"Predicting Loss Analysis from Luminescence Images in Si Solar Cells with Convolutional Neural Networks","source":"openalex","abstract":"In this work, deep convolutional neural networks (CNNs) are used to speed up the calculation of spatial nonuniform device parameters, voltage and fill factor (FF) losses in crystalline Si solar cells. Luminescence images on finished solar cells, specifically as‐measured electroluminescence (EL) and photoluminescence (PL) images, are used as input features to train the CNN models and losses analysis as output is from a finite‐element modeling program called Griddler. From the analysis of a small dataset of 250 commercial grade solar cells, the CNN models are able to predict the spatially nonuniform distribution of contact resistance and defect parameters of the devices under test and exhibit good performance in the inference of voltage and FF losses. As EL and PL images are widely collected in‐line production data, in the result, the possibility of deploying 2D spatial power loss analysis is implied as a fast, in‐line, and nondestructive analytic tool for solar cells manufacturing.","url":"https://doi.org/10.1002/solr.202300396","authors":["Zhengxian Huang","Jian Wei Ho","Kwan Bum Choi","Aaron J. Danner","Keng Siew Chan"],"tags":["Convolutional neural network","Electroluminescence","Materials science","Voltage","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2023-09-26","doi":"https://doi.org/10.1002/solr.202300396","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4411471988","name":"A Holistic Approach to Managing Built Assets' Life Cycle Carbon Footprint","source":"openalex","abstract":"As part of sustainable development, the architecture, engineering, and construction industry is under increasing pressure to minimize its environmental impact, specifically carbon emissions across the life cycle of built assets. Achieving carbon neutrality requires a robust and accurate approach to quantifying and managing emissions from both existing and new assets throughout their life cycle. This paper introduces a holistic approach to life cycle carbon footprint management. In alignment with EN 15978 and EN 15804+A2, the life cycle is divided into distinct stages: production, construction, use, end-of-life, and activities beyond the life cycle. The study explores the application of various tools and technologies at each stage, emphasizing the importance of consistent data sources, standardization, and advanced monitoring techniques such as digital twins for operational carbon tracking. Key findings highlight the critical role of reliable databases and the adoption of standardized processes to eliminate inconsistencies. By providing actionable insights and detailed analyses, this research offers a pathway for stakeholders to implement effective carbon management strategies and contribute to a sustainable built environment.","url":"https://doi.org/10.7771/3067-4883.1376","authors":["Jaehyun Park"],"tags":["Carbon footprint","Footprint","Life-cycle assessment","Business","Architectural engineering"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-06-19","doi":"https://doi.org/10.7771/3067-4883.1376","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7162099031","name":"Computational Approaches and Optimization Strategies for Additive Manufacturing of Titanium Alloys in Material Engineering: A Gap‑Oriented Review","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9721342/v1","authors":["Abebayehu Mulugeta Tekleyohannes","‪Tamiru Alemu Lemma","Wondwossen Bogale Eremed","Mesfin Gizaw Zewge"],"tags":["Aerospace","Mesoscopic physics","Finite element method","Distortion (music)","Residual stress"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-05-22","doi":"https://doi.org/10.21203/rs.3.rs-9721342/v1","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7204226074","name":"Artificial intelligence for quality control and monitoring in directed energy deposition metal additive manufacturing: applications, challenges, and opportunities","source":"openalex","abstract":"Directed energy deposition (DED) is a versatile metal additive manufacturing (MAM) technique that enables the fabrication and repair of high-value components across diverse industries. However, ensuring consistent quality in DED remains a persistent challenge due to the complex interplay of thermal gradients, material behavior, and process parameters. In recent years, artificial intelligence (AI) methodologies, particularly machine learning (ML) and deep learning (DL), have shown significant promise in enhancing quality control and real-time monitoring in DED processes. This study presents a systematic literature review of AI-enabled quality control and monitoring in DED, with emphasis on defect detection, process-state monitoring, physics-informed modeling, digital twins, industrial readiness, and the comparison between AI-based and conventional inspection approaches. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, 145 peer-reviewed articles published between 2015 and 2026 were analyzed. Quality issues in DED are classified into geometrical, morphological, and microstructural categories, and the use of AI is analyzed for each category. The review shows that convolutional neural networks (CNNs), random forests, autoencoders, and related ML/DL models have been widely applied for melt-pool monitoring, thermal and visual signal interpretation, defect classification, geometric prediction, and process-condition assessment. The comparative analysis indicates that conventional methods remain essential for direct measurement, validation, and qualification, whereas AI-based methods are mainly positioned for in-process prediction, early warning, screening, and potential closed-loop control. Emerging physics-informed ML and digital twin frameworks further extend AI capabilities by linking process data with thermal, geometric, and defect-related quality states. Despite these advances, key challenges remain in data acquisition, sensor reliability, the interpretability of AI models, and generalization across geometries and materials. This review identifies future research needs in data-efficient learning, physics-integrated sensor fusion, robust and interpretable modeling, standardized quality metrics, and industrially deployable closed-loop control. By synthesizing current research, the study provides a consolidated foundation for advancing AI-enabled DED quality assurance from research purpose demonstrations toward scalable, traceable, and qualification-ready manufacturing systems.","url":"https://doi.org/10.1007/s10845-026-02931-2","authors":["Binoy Debnath","Tasbirul Alam Zihan","Cesar Ruiz","Janet K. Allen","Shivakumar Raman"],"tags":["Quality (philosophy)","Artificial intelligence","Process (computing)","Convolutional neural network","Artificial neural network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-08-26","doi":"https://doi.org/10.1007/s10845-026-02931-2","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4309002114","name":"Fifty Years of Fixed Optical Networks Evolution: A Survey of Architectural and Technological Developments in a Layered Approach","source":"openalex","abstract":"Over the past fifty years, telecommunications has transformed, in an unprecedented manner, the way we live, work and communicate. For telecommunications, fixed networks are the one pillar and wireless networks the other. The wireless networks and their generations have been extensively investigated in the literature; however, the fixed networks lack a consistent exploration of their evolution. For this purpose, our motivation is to present a review of the evolution of fixed networks in a holistic manner, from various different perspectives, which can assist engineers and students to understand, in a better way, how broadband networks developed and the main features of the current networking environment. Specifically, in this review, we aim to shed light on the most important technologies, standards and milestones of the fixed networks from various perspectives, such as the service perspective, the networking perspective (both access and core part) and the physical layer perspective. Our study follows the timeline of the five generations of fixed networks defined by the European Telecommunications Standards Institute (ETSI) F5G group and discusses the key achievements and limitations of each generation for each different infrastructure layer and segment, designating the most important issues for the most widely-adopted technologies and standards. Finally, our analysis helps to reveal the technical challenges that need to be addressed by the fixed telecom network community, such as energy efficiency, capacity scaling, cost-efficiency, etc., while also revealing potential future directions.","url":"https://doi.org/10.3390/telecom3040035","authors":["Dimitris Uzunidis","Michael D. Logothetis","Alexandros Stavdas","D. Hillerkuss","Ioannis Tomkos"],"tags":["Timeline","Telecommunications","Computer science","Broadband","Wireless network"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2022-11-11","doi":"https://doi.org/10.3390/telecom3040035","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W7155039394","name":"Machine Unlearning-Enabled Cyber-Resilient AIoT Framework for Privacy-Preserving and Adaptive Smart Pharmaceutics in Personalized Drug Delivery Systems","source":"openalex","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9453234/v1","authors":["Sayed Athar Ali Hashmi","Pushpendra Tiwari","Naveen Datt Dixit"],"tags":["Computer science","Scalability","Overhead (engineering)","Computer security","Vulnerability (computing)"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2026-04-21","doi":"https://doi.org/10.21203/rs.3.rs-9453234/v1","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"oa:W4416730494","name":"Review of Recent Advances in Lithium-Ion Batteries: Sources, Extraction Methods, and Industrial Uses","source":"openalex","abstract":"Lithium-ion batteries (LIBs) have become the leading energy storage technology because of their high specific energy, excellent efficiency, and longer lifespan. This review offers a comprehensive overview of the lithium battery industry, covering lithium materials and the global supply chain, as well as examining traditional and sustainable extraction methods. The discussion includes the technical and environmental challenges of each extraction method, with particular emphasis on feedstock selection, which greatly influences lithium recovery efficiency, yield, and ecological impact, and capital and operating expenditures. It also investigates the growth of the global battery recycling industry and provides an outlook on innovations in this area. These innovations include recycling systems, a case study on Biomass Energy Systems Inc., and the battery chemistries needed to support a circular economy. The review highlights industrial applications of LIBs in sectors such as automotive, consumer electronics, and aerospace. Finally, it addresses supply chain and recycling challenges related to LIBs, positioning cost, environmental footprint, and regulatory compliance as central considerations for the future of the battery industry.","url":"https://doi.org/10.3390/batteries11120433","authors":["Olukayode Fatoki","Habeeb Mohammed","Santosh Kumar Parupelli","Alex Mathew","Manpreet Kaur","Amir Rehmat","Suhaimi Muhammed","Bishnu Prasad Bastakoti","Salil Desai"],"tags":["Battery (electricity)","Sustainability","Supply chain","Raw material","Computer science"],"confidence":0.72,"sites":["digital-twin"],"publishedDate":"2025-11-24","doi":"https://doi.org/10.3390/batteries11120433","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1117/12.3118516","name":"Simulation study on lithium battery digital twin energy storage combined with twin algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3118516","authors":["Wanzhou Sun","Minhui Wan","Rongdong He","Man Chen","Peng Peng","Xuan Gong"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-23T13:20:45Z","doi":"10.1117/12.3118516","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/s00170-026-18109-2","name":"AI-enabled digital twin framework for reconfigurable robotic palletizing of irregularly shaped products","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-026-18109-2","authors":["Nikolaos Theodoropoulos","Andres Castro","Stella Dimitra Tragianni","Dionisis Andronas","Isiah Zaplana","Bengisu Ayan","Raul Suarez","Michael Suppa","Sotiris Makris"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-23T17:37:53Z","doi":"10.1007/s00170-026-18109-2","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/s12008-026-02596-4","name":"High-fidelity digital twin implementation for the yaskawa GP4 robot via YMConnect and high-speed ethernet communication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12008-026-02596-4","authors":["Gia Loc Pham","The-Mong Bui","Hoang-Viet Dang","Dang Minh Tran","Danh Huy Nguyen"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-30T09:37:53Z","doi":"10.1007/s12008-026-02596-4","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-981-95-5915-2_5","name":"From Soil to Simulation: Digital Twins and the Future of Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-5915-2_5","authors":["Sunil Kumar","Harbinder Singh","Dhiraj Kumar Singh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-01-30T12:52:10Z","doi":"10.1007/978-981-95-5915-2_5","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-032-18938-7_2","name":"Digital Twin Applications in IoT-Based Energy Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-18938-7_2","authors":["Md Rafiul Kabir","Sandip Ray"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-01T14:24:13Z","doi":"10.1007/978-3-032-18938-7_2","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/s00170-026-17923-y","name":"Development of a digital twin for real-time 3D temperature field monitoring: Application to the Jominy end-quench test","source":"crossref","abstract":"Abstract This paper presents the development of a digital twin designed for “real-time” monitoring of the three-dimensional temperature field during the Jominy end-quench test. This test, commonly used to assess the hardenability of steels, generates a pronounced axial thermal gradient, making it an ideal case study for validating a digital twin approach. The core of the methodology relies on the construction of a surrogate model based on Proper Orthogonal Decomposition (POD), derived from Finite Element simulations (FEM) performed with Forge NxT ® . This reduced-order model enables the reconstruction of the full temperature field from a limited number of surface measurements acquired via an infrared camera. An inverse formulation, based on least-squares optimization, is used to estimate the modal coefficients required for reconstructing the thermal field. The approach is validated both numerically and experimentally. Temperature deviations between simulated and reconstructed fields generally remain below $$\\:\\pm\\:20\\:^\\circ\\:C$$ , with larger localized errors near the air/water transition zone. A real-time visualization interface, developed in UNITY 3D ® , allows the operator to monitor thermal evolution, including within the core of the specimen. This work demonstrates the feasibility of “real-time” thermal monitoring paving the way for better monitoring of thermomechanical paths during hot forging, particularly for superalloys.","url":"https://doi.org/10.1007/s00170-026-17923-y","authors":["Aya Midaoui","Cyrille Baudouin","Ludivine Maccioni","Florence Danglade","Régis Bigot"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-30T17:06:09Z","doi":"10.1007/s00170-026-17923-y","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1136/bmjdh-2026-000031","name":"Utilising the digital twin for disease prevention, treatment and in silico research","source":"crossref","abstract":"","url":"https://doi.org/10.1136/bmjdh-2026-000031","authors":["Neera Ahuja","Jason Hom","Jonathan H Chen","Olivier Gevaert"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-12T12:00:10Z","doi":"10.1136/bmjdh-2026-000031","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.12677/dsc.2026.153030","name":"Research on Modeling and PLC Virtual Debuguring of Intelligent Manufacturing Production Line Based on Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.12677/dsc.2026.153030","authors":["衍 王"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T03:53:33Z","doi":"10.12677/dsc.2026.153030","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.eng.2026.03.012","name":"Quasi-Static Hypergraph Neural Networks: A High-Performance Approach for Digital Twin Modeling of Manufacturing Process Systems with Dynamic Performance Evolution","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eng.2026.03.012","authors":["Yiru Chen","Peiyuan Ding","Jianfu Zhang","Pingfa Feng","Xiangyu Zhang","Jianjian Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-02T16:00:59Z","doi":"10.1016/j.eng.2026.03.012","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.7736/jkspe.025.00041","name":"Developing Life Cycle-consistent Digital Twin for Manufacturing Equipment using LTI-ROM-based Virtual Sensors","source":"crossref","abstract":"As the demand for precision in the manufacturing industry grows, Digital Twin (DT) technology is gaining attention for its potential to enhance equipment performance and process reliability. However, existing research has primarily focused on specific stages of design or operation, leaving a gap in the literature concerning DT models that can be utilized throughout the entire equipment lifecycle. To address this gap, this study proposes a method for developing a DT that employs a consistent Finite Element (FE) model across all phases of the equipment lifecycle. We utilized actual measurement data to ensure high fidelity in the FE model of previous-generation equipment, which we refer to as the Pre-DT. This Pre-DT was instrumental in improving design during the new equipment development phase. Additionally, the DT model was implemented to predict equipment status in real time using the Reduced-Order Model (ROM) method, functioning as a virtual sensor during operation. This approach was applied to the equipment development process, aligned with the asset lifecycle concept of RAMI 4.0, and was tested on an MLCC cutting equipment to validate its effectiveness.","url":"https://doi.org/10.7736/jkspe.025.00041","authors":["Sung-Wook Park","Seung-Jun Shin"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-08T00:10:41Z","doi":"10.7736/jkspe.025.00041","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-91500-0_34","name":"Digital Twins for Process Understanding and Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_34","authors":["G. Jishnu Prian","Ananya S. Desikana","G. Rajyalakshmi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T00:06:16Z","doi":"10.1007/978-3-031-91500-0_34","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1071/ep26483","name":"Engineering Visual Presentation E02: Real-time digital twin system for LNG operation monitoring","source":"crossref","abstract":"Engineering Visual Presentation E02 In the liquefied natural gas (LNG) operations space, process simulations are widely applied during design phases and during operation for designing and troubleshooting process flows. However, the use of continuously running simulations for live operational monitoring remains limited. The adoption of live process simulations (commonly referred to as digital twins) offers significant potential to enhance operational visibility, enable early issue detection, improve safety, and drive real-time optimisation. This work presents the architecture and implementation of a live digital twin system for Woodside Energy by deploying Aspen HYSYS process simulation software on cloud-based platforms and integrating it with live plant data. To demonstrate practical benefits, two use cases are explored. One involves real-time performance monitoring of refrigerant compressors in an LNG plant. By continuously streaming live process data – such as inlet and outlet pressures, temperatures and power consumption – into the online HYSYS environment, the system calculates key thermodynamic properties including polytropic and isentropic efficiencies. Another use case highlights the use of the HYSYS model as a soft sensor to reconcile flow rate discrepancies caused by faulty orifice flow metres and to monitor thermodynamic performance. These real-time model outputs are visualised in dashboards, with automated alerts triggered when deviations from expected performance occur. Such capabilities support predictive maintenance and energy optimisation. The results demonstrate significant improvements in process transparency, responsiveness and decision-making. This digital twin framework provides a scalable foundation for expanding live process simulations across LNG operations, paving the way for continuous improvement and operational excellence. To access the Visual Presentation click on 'Supplementary data' below. To read the full paper click here","url":"https://doi.org/10.1071/ep26483","authors":["Qi Chu","Mohamed Ibrahim"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T04:44:18Z","doi":"10.1071/ep26483","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/iccworkshops63917.2026.11586612","name":"WS18: 4th Workshop on Data Driven and AI-Enabled Digital Twin Networks and Applications (TwinNetApp)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops63917.2026.11586612","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-15T20:00:48Z","doi":"10.1109/iccworkshops63917.2026.11586612","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003492146-18","name":"Integration of AI in Digital Twin Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-18","authors":["Esteban Bernal Arango"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-18","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003492146-6","name":"Development of Physics-Based Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003492146-6","authors":["Sanjar Ahmad","Farzaneh Tahmoorian"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-04-28T16:31:41Z","doi":"10.1201/9781003492146-6","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.ifacol.2021.08.157","name":"Pattern-based Digital Twin for Optimizing Manufacturing Systems: A Real Industrial-Case Application","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2021.08.157","authors":["Concetta Semeraro","Mario Lezoche","Hervé Panetto","Michele Dassisti"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-08T20:13:51Z","doi":"10.1016/j.ifacol.2021.08.157","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.4018/979-8-3693-2814-9.ch016","name":"Sustainable Manufacturing Through Digital Twin and Reinforcement Learning","source":"crossref","abstract":"Smart manufacturing is on the cusp of a significant transformation as it integrates virtual systems with their real-world counterparts, primarily through the use of digital twins. When combined with deep reinforcement learning, the predictive capability of DTs is sharpened using real-world data, offering valuable insights throughout an entity's life cycle, from inception to retirement. DRL provides a resilient framework for making decisions in unpredictable and ever-changing environments. As agents continually interact with these environments, their decision-making strategies, guided by rewards, are refined. The foundation of this learning lies in the Markov decision process, which steers the efficacy of DRL. This methodology has demonstrated its effectiveness in challenges like scheduling and robot control. This chapter explores the benefits, frameworks, data flow, and pipelines of implementing DRL in smart manufacturing, particularly in resource scheduling. It provides a comparative analysis of existing research and DRL's performance against traditional heuristics.","url":"https://doi.org/10.4018/979-8-3693-2814-9.ch016","authors":["Di Wang"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-08-01T09:33:02Z","doi":"10.4018/979-8-3693-2814-9.ch016","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-032-21157-6_23","name":"Digital Twin Based Framework to Enhance the Environmental Sustainability of Supply Chains","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-21157-6_23","authors":["Madhurika Geethani","Asela Kulatunga","Subodha Dharmapriya"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-26T18:03:01Z","doi":"10.1007/978-3-032-21157-6_23","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.egyr.2026.109218","name":"Digital twin applications and case studies in modern power grid management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.egyr.2026.109218","authors":["N. Subramanian","Albert Alexander Stonier"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-16T10:28:10Z","doi":"10.1016/j.egyr.2026.109218","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.procir.2026.01.057","name":"Digital twin: Automatic generation of Asset Administration Shells (AAS)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2026.01.057","authors":["Max Eichenwald","Jan Molter","Rainer Müller"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-02-12T16:34:56Z","doi":"10.1016/j.procir.2026.01.057","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.54660/978-93-47090-04-2","name":"Foundations of Intelligent Cyber-Physical Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.54660/978-93-47090-04-2","authors":["Dr. Rajesh Kumar","Dr. S. Md. Shakir Ali","Dr. Kamal Upreti","Dr. Dyuti Banerjee","Dr. Soumi Ghosh"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-29T07:43:08Z","doi":"10.54660/978-93-47090-04-2","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/icears67481.2026.11416580","name":"Simulation-Driven Cognitive Digital Twin MPC for Nonlinear Industrial Process Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icears67481.2026.11416580","authors":["Mohamed Arasath Thamimul Ansari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-03-09T19:55:30Z","doi":"10.1109/icears67481.2026.11416580","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1201/9781003469612-7","name":"Navigating the Complexities of Digital Twin Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003469612-7","authors":["M. Arvindhan","S. Nivetha","Raghvendra Ajay Mishra","A. Daniel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-07-22T18:51:45Z","doi":"10.1201/9781003469612-7","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1002/9781119842316.ch10","name":"Digital Twin in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119842316.ch10","authors":["Manisha Vohra"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-11-22T10:46:30Z","doi":"10.1002/9781119842316.ch10","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-91500-0_50","name":"Digital Transformation of Maintenance: Leveraging CMMSs for Enhanced Efficiency and Productivity","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-91500-0_50","authors":["Lakshmi Shankar","Reecha Sharma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-05-21T00:00:33Z","doi":"10.1007/978-3-031-91500-0_50","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1002/9781394383740.ch15","name":"Author Royalty Distribution System Using Blockchain Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394383740.ch15","authors":["Konki Mohit","R. Kanniga Devi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-24T21:34:30Z","doi":"10.1002/9781394383740.ch15","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.7148/2023-0442","name":"Digital Twin For Agile Manufacturing: Challenges From The Offshore Wind Turbine Industry","source":"crossref","abstract":"This paper highlights technical and practical challenges that the authors have faced to create a digital twin (DT) of a piece of manufacturing system, that is production process (i.e., assembly process) to serve system responsiveness (i.e., agility) in an offshore wind turbine manufacturing. It discusses the elements and architectural parameters in development of an agile manufacturing system, where DT of shopfloor and its practical setup is seen as a design element enabling agility in an industrial system. Currently, there is no detailed framework to describe how industries can practically benefit a DT of their production process in a way that their manufacturing systems becomes responsive to perturbations, and ultimately agile. More importantly, there is no detailed study to show potential challenges and their implications during deployment of such a DT. In absence of such a study, this paper proposes a configuration and practical architecture, customized for Siemens Gamesa Renewable Energy’s (SGRE’s) offshore wind turbine (OWT) manufacturing system, that denotes the logic behind such framework for reuse of DT in any typical manufacturing system along with its practical implications, helping other industries to predict potential challenges and estimate realistically the required budget for such implementation. The proposed model-based structure is built up based on the benchmark commonalities and differences of the known developed DT models in manufacturing and production context, incorporating the existing physical and virtual spaces in SGRE’s OWT manufacturing system, complemented by supplementary systems and software applications from existing technologies in market. The paper concludes with thoughts on a pilot project in production line of an OWT’s generator unit that is under development to verify such a design.","url":"https://doi.org/10.7148/2023-0442","authors":["Mehrnoosh Nickpasand","Henrique M. Gaspar"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-16T11:46:57Z","doi":"10.7148/2023-0442","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/s00170-020-06384-6","name":"Digital twin of stone sawing processes","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00170-020-06384-6","authors":["Wilma Polini","Andrea Corrado"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-11-16T20:13:32Z","doi":"10.1007/s00170-020-06384-6","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/b978-0-323-85159-6.50251-7","name":"Requirements to a digital twin-centered concept for smart manufacturing in modular plants considering distributed knowledge","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-85159-6.50251-7","authors":[],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-07-30T13:13:12Z","doi":"10.1016/b978-0-323-85159-6.50251-7","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/icc59461.2026.11587859","name":"Automated Digital Twin Generation for Network Testing: A Multi-Topology Validation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc59461.2026.11587859","authors":["Shenjia Ding","David Flynn","Paul Harvey"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-14T19:38:09Z","doi":"10.1109/icc59461.2026.11587859","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1016/j.ifacol.2019.11.536","name":"Digital Twin Driven Inclusive Manufacturing Using Emerging Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2019.11.536","authors":["Sube Singh","Ankit Barde","Biswajit Mahanty","M.K. Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2019-12-25T03:40:30Z","doi":"10.1016/j.ifacol.2019.11.536","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1088/1757-899x/862/3/032080","name":"The digital twin technology and its role in manufacturing","source":"crossref","abstract":"Abstract One of the most notable technologies of the fourth industrial revolution (also referred to as Industry 4.0) is considered to be a technology known as a “digital twin”. This technology is particularly useful in the context of manufacturing and the main focus of this paper is the use of this technology in this area. In this paper, it is explained what a digital twin is and a couple of different definitions are covered. Then, this technology is compared to some other emerging technologies of Industry 4.0 and the main differences and similarities are discussed. Finally, the business value of the digital twin is discussed.","url":"https://doi.org/10.1088/1757-899x/862/3/032080","authors":["V S Magomadov"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2020-05-28T01:15:59Z","doi":"10.1088/1757-899x/862/3/032080","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1145/3756423.3756494","name":"Research on digital twin method of four-axis robotic arm","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3756423.3756494","authors":["Junzhi Huang","Miao Song","Lingcui Sun"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-09-18T06:59:07Z","doi":"10.1145/3756423.3756494","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.2139/ssrn.5082210","name":"Development And Manufacturing Of Virtual 3d Printers Through Digital Twin Sensor Ecosystem With Artificial Intellence Involving Control Parameters","source":"crossref","abstract":"Development And Manufacturing Of Virtual 3d Printers Through Digital Twin Sensor Ecosystem With Artificial Intellence Involving Control Parameters","url":"https://doi.org/10.2139/ssrn.5082210","authors":["Ravichandran S","Arun Raj S R","S. Malathy","Dibyahash bordoloi","Gurjeet Singh","G.B. Santhi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-01-07T09:19:27Z","doi":"10.2139/ssrn.5082210","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1071/ep26480","name":"Engineering Visual Presentation E03: Interoperable digital twin ecosystems: enhancing risk management in distributed energy systems","source":"crossref","abstract":"Engineering Visual Presentation E03 Energy producers today operate in an environment where digitalisation has greatly increased both opportunity and complexity. Critical infrastructure, such as energy grids and industrial facilities, are now deeply interconnected, and their growing interdependencies create system-level vulnerabilities, meaning that disruption in one area can quickly cascade into others. Improving operational efficiency and resilience in this environment requires not just better data but the ability to share and act on insights across organisational and system boundaries. Digital Twin (DT) Ecosystems, which are networks of connected DTs that exchange data and insights in a coordinated and interoperable environment, provide a new way forward. By connecting digital representations of assets, operations, and processes, they enable real-time monitoring and predictive decision-making at scale. Yet, a major challenge remains: traditional risk management approaches operate in silos, making it difficult to understand cumulative risks or coordinate effective mitigation strategies across distributed operations. This paper presents a standards-based approach for enabling interoperable risk analytics within DT Ecosystems. The proposed risk event metamodel allows risk-related information to flow seamlessly between different systems and organisations. This enables operators to gain a holistic view of risks, improve situational awareness, and respond more effectively to dynamic conditions. A representative energy-sector use case is used to demonstrate how integrated risk information can support more resilient and efficient operations. By addressing key challenges in interoperability and collaboration, this work highlights a practical pathway for energy producers to strengthen reliability, reduce downtime, and enhance overall performance in an increasingly complex operating environment. To access the Visual Presentation click on 'Supplementary data' below. To read the full paper click here","url":"https://doi.org/10.1071/ep26480","authors":["Karamjit Kaur"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-06-18T04:49:09Z","doi":"10.1071/ep26480","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.26689/jera.v9i1.9445","name":"Development of Intelligent Manufacturing Teaching and Training Platform Based on Digital Twin","source":"crossref","abstract":"With the advancement and maturation of digital technology, immersive experiences, virtual interactive systems, and real physical environments are combined to create an independent “digital twin” world. In the field of intelligent manufacturing, there is a growing need to explore and develop a new platform for practical teaching based on digital twins, in line with the intelligent, networked, and digital transformation of education. By analyzing the design elements of this platform, building various digital twin prototypes and environments, and developing a teaching and training platform for intelligent manufacturing based on digital twins, significant improvements can be achieved in efficiency. Therefore, this paper discusses the development of an intelligent manufacturing teaching and training platform based on digital twins, aiming to enrich both the form and content of intelligent manufacturing training.","url":"https://doi.org/10.26689/jera.v9i1.9445","authors":["Zizheng Zhao","Xueqian Zou","Boyang Li"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-19T00:50:14Z","doi":"10.26689/jera.v9i1.9445","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1002/9781394303243.ch8","name":"A Roadmap for Sustainable Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394303243.ch8","authors":["Adith Kumar","Harshit Tiwari"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-08-08T21:22:16Z","doi":"10.1002/9781394303243.ch8","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/sist58284.2023.10223565","name":"Development of Middleware for Data-Centric Digital Twin of Additive Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sist58284.2023.10223565","authors":["Karina Shaimergenova","Md. Hazrat Ali","Essam Shehab"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-08-28T17:48:17Z","doi":"10.1109/sist58284.2023.10223565","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1007/978-3-031-58523-4_8","name":"Blockchain and Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-58523-4_8","authors":["Durga Vinay Balla","Sravya Sri Kadiyala","Nanda Kiran Kante"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2024-05-26T21:01:51Z","doi":"10.1007/978-3-031-58523-4_8","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1049/pbhe046e_ch6","name":"Digital twin data visualization techniques","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbhe046e_ch6","authors":["C.N. Vanitha","S. Malathy","S.A. Krishna"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2023-04-06T04:11:09Z","doi":"10.1049/pbhe046e_ch6","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/iwcmc69287.2026.11579972","name":"A Safe Agentic Digital Twin for Autonomous UAV Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iwcmc69287.2026.11579972","authors":["Hela Alaya","Asma Ben Letaifa","Abderrezak Rachedi"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-07-03T19:49:45Z","doi":"10.1109/iwcmc69287.2026.11579972","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1504/ijmms.2021.119155","name":"Physics-based simulation models for digital twin development in laser powder bed fusion","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijmms.2021.119155","authors":["Lihang Yang","Tuğrul Özel"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2021-11-26T12:30:14Z","doi":"10.1504/ijmms.2021.119155","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.3233/atde190030","name":"Towards Effective Data Management for Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.3233/atde190030","authors":["Singh Sumit","Shehab Essam","Higgins Nigel","Fowler Kevin","Reynolds Dylan","Erkoyuncu John A.","Gadd Peter"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2025-02-19T17:19:26Z","doi":"10.3233/atde190030","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.12688/digitaltwin.17574.1","name":"Intelligent digital twins and the development and management of complex systems","source":"crossref","abstract":"","url":"https://doi.org/10.12688/digitaltwin.17574.1","authors":["Michael Grieves"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2022-05-25T16:00:05Z","doi":"10.12688/digitaltwin.17574.1","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"doi:10.1109/nnice68970.2026.11466172","name":"CommTwinNet: Digital Twin-Aware Split Inference for Edge-Cloud GNNs","source":"crossref","abstract":"","url":"https://doi.org/10.1109/nnice68970.2026.11466172","authors":["Chunyan Ma"],"tags":[],"confidence":0.7,"sites":["digital-twin"],"publishedDate":"2026-04-07T19:54:56Z","doi":"10.1109/nnice68970.2026.11466172","addedAt":"2026-09-01T01:47:46.152Z","updatedAt":"2026-09-01T01:47:46.152Z"},{"id":"arxiv:1011.1528v1","name":"On twin and anti-twin words in the support of the free Lie algebra","source":"arxiv","abstract":"Let $L_{K}(A)$ be the free Lie algebra on a finite alphabet $A$ over a commutative ring $K$ with unity. For a word $u$ in the free monoid $A^{*}$ let $\\tilde{u}$ denote its reversal. Two words in $A^{*}$ are called twin (resp. anti-twin) if they appear with equal (resp. opposite) coefficients in each Lie polynomial. Let $l$ denote the left-normed Lie bracketing and $λ$ be its adjoint map with respect to the canonical scalar product on the corresponding free associative algebra. Studying the kernel of $λ$ and using several techniques from combinatorics on words and the shuffle algebra, we show that when $K$ is of characteristic zero two words $u$ and $v$ of common length $n$ that lie in the support of ${\\mathcal L}_{K}(A)$ - i.e., they are neither powers $a^{n}$ of letters $a \\in A$ with exponent $n &gt; 1$ nor palindromes of even length - are twin (resp. anti-twin) if and only if $u = v$ or $u = \\tilde{v}$ and $n$ is odd (resp. $u = \\tilde{v}$ and $n$ is even).","url":"https://arxiv.org/abs/1011.1528v1","authors":["Ioannis C. Michos"],"tags":["math.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2010-11-05T23:55:23Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1902.10532v1","name":"Probabilistic method of proving twin primes' infinitude","source":"arxiv","abstract":"Statistical distribution of the primes in an arithmetic progression is considered. The estimation of prime numbers is given and combinatorial methods are used to calculate the twin primes on the available interval. The distribution and estimation of the number of primes on the twin primes rows are obtained. A new method of twin prime infinity is proposed.","url":"https://arxiv.org/abs/1902.10532v1","authors":["Nurlan N. Tashatov","Alua S. Turginbayeva","Serik A. Altynbek"],"tags":["math.GM"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-02-14T17:09:09Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.00763v1","name":"The catalogue of $δ$ Sct pulsators in binary systems in 2024","source":"arxiv","abstract":"The updated catalogue of $δ$ Sct stars in binary systems as well as their statistical properties are presented. Thanks to the Kepler, K2 and TESS space missions, this version of the catalogue contains more than 1000 $δ$ Sct pulsators in binaries. The sample is divided according to the Roche Geometry of the binary systems in order to check for any systematic differences in the pulsators' evolution due to the proximity of the companion star. Statistics, demographics, and distributions of these pulsating stars within the H-R and mass-radius diagrams are provided. We notice that the absolute parameters have been accurately determined for only approximately 10% of the whole sample. Additionally, updated correlations between pulsation and orbital periods and evolutionary status are presented. This work aims to motivate the researchers for systematic analyses of such objects in order to increase the sample of systems with well known physical properties.","url":"https://arxiv.org/abs/2410.00763v1","authors":["Alexios Liakos"],"tags":["astro-ph.SR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-01T15:00:29Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:0103191v1","name":"Characterization of the Distribution of Twin Primes","source":"arxiv","abstract":"We adopt an empirical approach to the characterization of the distribution of twin primes within the set of primes, rather than in the set of all natural numbers. The occurrences of twin primes in any finite sequence of primes are like fixed probability random events. As the sequence of primes grows, the probability decreases as the reciprocal of the count of primes to that point. The manner of the decrease is consistent with the Hardy--Littlewood Conjecture, the Prime Number Theorem, and the Twin Prime Conjecture. Furthermore, our probabilistic model, is simply parameterized. We discuss a simple test which indicates the consistency of the model extrapolated outside of the range in which it was constructed.","url":"https://arxiv.org/abs/math/0103191v1","authors":["P. F. Kelly","Terry Pilling"],"tags":["math.NT"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2001-03-28T00:53:00Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2409.05832v1","name":"The Quest to Build Trust Earlier in Digital Design","source":"arxiv","abstract":"The ever-rising complexity of computer systems presents challenges for maintaining security and trust throughout their lifetime. As hardware forms the foundation of a secure system, we need tools and techniques that support computer hardware engineers to improve trust and help them address security concerns. This paper highlights a vision for tools and techniques to enhance the security of digital hardware in earlier stages of the digital design process, especially during design with hardware description languages. We discuss the challenges that design teams face and explore some recent literature on understanding, identifying, and mitigating hardware security weaknesses as early as possible. We highlight the opportunities that emerge with open-source hardware development and sketch some open questions that guide ongoing research in this domain.","url":"https://arxiv.org/abs/2409.05832v1","authors":["Benjamin Tan"],"tags":["cs.CR","cs.AR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-09-09T17:38:18Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2202.01228v2","name":"Gegenbauer's Twin","source":"arxiv","abstract":"In Twin Higgs models the dominant source of fine-tuning is the cancellation of order $v^2/f^2$ required to obtain a Standard Model-like Higgs, where $v$ and $f$ are the electroweak and new physics scales, respectively. Recently proposed Gegenbauer Goldstone models naturally realise $v^2/f^2 \\ll 1$ and hence remove this source of fine-tuning. By combining the two into `Gegenbauer's Twin', we obtain a symmetry-based model for Higgs sector naturalness consistent with current collider measurements without fine-tuning of parameters. Single-Higgs coupling deviations of a few percent and trilinear self-coupling deviations of order one are irreducible in the natural parameter space. Thus, notably, the fingerprints of Gegenbauer's Twin could emerge first through di-Higgs measurements at the High-Luminosity LHC.","url":"https://arxiv.org/abs/2202.01228v2","authors":["Gauthier Durieux","Matthew McCullough","Ennio Salvioni"],"tags":["hep-ph","hep-ex"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-02-02T19:00:01Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1705.02196v1","name":"Atomic-scale modeling of twinning disconnections in zirconium","source":"arxiv","abstract":"Twin growth in hexagonal close-packed zirconium is investigated at the atomic scale by modeling the various disconnections that can exist on twin boundaries. Thanks to a coupling with elasticity theory, core energies are extracted from atomistic simulations and the formation energy of isolated disconnection dipoles is defined. For twin systems where several disconnections can exist, because of this core contribution, the most stable disconnection is not always the one with the smallest Burgers vector. Crystallographic parameters of the disconnection with the lowest formation energy correlate well with twin modes observed experimentally. On the other hand, disconnection migration, characterized here by computing their migration energy and Peierls stress, does not appear critical for twin mode selection.","url":"https://arxiv.org/abs/1705.02196v1","authors":["Olivier Mackain","Maeva Cottura","David Rodney","Emmanuel Clouet"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2017-05-05T13:01:40Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1304.7129v1","name":"On twinning in smectic crystals","source":"arxiv","abstract":"It is shown that mechanical twinning in smectic crystals is possible. The structure of the boundary of twins for a small disorientation of crystallites is determined. The periodic twin structure, which should appear at the tension of the smectic layer, is proposed.","url":"https://arxiv.org/abs/1304.7129v1","authors":["V. I. Marchenko"],"tags":["cond-mat.soft"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2013-04-26T11:23:03Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2606.01261v1","name":"RFDT-Channel: RGB-LiDAR-Based RF Digital Twin Scene Construction for 28 GHz Indoor Ray-Tracing Channel Simulation","source":"arxiv","abstract":"Real-scene indoor millimeter-wave simulation requires efficient modeling of radio frequency (RF)-computable geometry and electromagnetic material properties. To address the low efficiency of manual scene modeling, the limited RF adaptability of visually reconstructed meshes, and the lack of material binding in 28 GHz ray-tracing simulation, RFDT-Channel is developed as an RF digital twin scene construction workflow based on red-green-blue (RGB) images and light detection and ranging (LiDAR) point clouds. Indoor videos and point clouds are collected by a Jetson Orin platform with LiDAR and GMSL cameras. An initial triangular mesh is generated through COLMAP, 3D Gaussian Splatting, and SuGaR. The LiDAR point cloud then provides geometric and scale references for RF-oriented regularization in Blender, including alignment, wall solidification, door/window opening construction, and topology repair. OpenScene semantic segmentation maps major indoor structures to concrete, glass, wood, and metal materials, and Sionna RT performs 28 GHz ray tracing. Under a fixed transmitter-receiver deployment, the generated channel impulse response (CIR), channel frequency response (CFR), and Radio Map results show that material binding mainly changes weak reflection, transmission, and scattering paths, reducing the number of effective paths from about 742 to about 52 while keeping the dominant path amplitude nearly unchanged.","url":"https://arxiv.org/abs/2606.01261v1","authors":["Chengyang Yao","Cunhua Pan","Jiaming Zeng","Yuquan Sun","Haoyang Weng","Haojian Wang","Hong Ren","Jiangzhou Wang"],"tags":["eess.IV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-05-31T14:28:41Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1805.09345v1","name":"Twin SIMPs","source":"arxiv","abstract":"The hierarchy problem and the identity of dark matter are two of the central driving forces in particle physics. Twin Higgs models provide an elegant solution to the little hierarchy problem, while Strongly Interacting Massive Particles (SIMPs) provide an appealing dark matter candidate. Here we show that SIMPs can easily be embedded in the Twin Higgs setup, such that dark matter and the hierarchy problem can be addressed in a single framework. This also provides a natural explanation to the proximity between the confinement scale of SIMP dark matter and the strong scale of QCD.","url":"https://arxiv.org/abs/1805.09345v1","authors":["Yonit Hochberg","Eric Kuflik","Hitoshi Murayama"],"tags":["hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2018-05-23T18:00:11Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.18879v3","name":"CapsoNet: A CNN-Transformer Ensemble for Multi-Class Abnormality Detection in Video Capsule Endoscopy","source":"arxiv","abstract":"We present CapsoNet, a deep learning framework developed for the Capsule Vision 2024 Challenge, designed to perform multi-class abnormality classification in video capsule endoscopy (VCE) frames. CapsoNet leverages an ensemble of convolutional neural networks (CNNs) and transformer-based architectures to capture both local and global visual features. The model was trained and evaluated on a dataset of over 50,000 annotated frames spanning ten abnormality classes, sourced from three public and one private dataset. To address the challenge of class imbalance, we employed focal loss, weighted random sampling, and extensive data augmentation strategies. All models were fully fine-tuned to maximize performance within the ensemble. CapsoNet achieved a balanced accuracy of 86.34 percent and a mean AUC-ROC of 0.9908 on the official validation set, securing Team Seq2Cure 5th place in the competition. Our implementation is available at http://github.com/arnavs04/capsule-vision-2024","url":"https://arxiv.org/abs/2410.18879v3","authors":["Arnav Samal","Ranya Batsyas"],"tags":["cs.CV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-24T16:13:06Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.23639v3","name":"Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins","source":"arxiv","abstract":"The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data. However, the effective construction of HDTs faces significant challenges due to the heterogeneity of data collection devices, the high energy demands associated with processing intricate data, and concerns over the privacy of sensitive information. This work introduces a novel biologically-inspired (bio-inspired) HDT framework that leverages Brain-Computer Interface (BCI) sensor technology to capture brain signals as the data source for constructing HDT. By collecting and analyzing these signals, the framework not only minimizes device heterogeneity and enhances data collection efficiency, but also provides richer and more nuanced physiological and psychological data for constructing personalized HDTs. To this end, we further propose a bio-inspired neuromorphic computing learning model based on the Spiking Neural Network (SNN). This model utilizes discrete neural spikes to emulate the way of human brain processes information, thereby enhancing the system's ability to process data effectively while reducing energy consumption. Additionally, we integrate a Federated Learning (FL) strategy within the model to strengthen data privacy. We then conduct a case study to demonstrate the performance of our proposed twofold bio-inspired scheme. Finally, we present several challenges and promising directions for future research of HDTs driven by bio-inspired technologies.","url":"https://arxiv.org/abs/2410.23639v3","authors":["Chen Shang","Jiadong Yu","Dinh Thai Hoang"],"tags":["cs.HC","cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-31T05:21:46Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2407.04355v1","name":"Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration","source":"arxiv","abstract":"Physics-inspired regularization is desired for intra-patient image registration since it can effectively capture the biomechanical characteristics of anatomical structures. However, a major challenge lies in the reliance on physical parameters: Parameter estimations vary widely across the literature, and the physical properties themselves are inherently subject-specific. In this work, we introduce a novel data-driven method that leverages hypernetworks to learn the tissue-dependent elasticity parameters of an elastic regularizer. Notably, our approach facilitates the estimation of patient-specific parameters without the need to retrain the network. We evaluate our method on three publicly available 2D and 3D lung CT and cardiac MR datasets. We find that with our proposed subject-specific tissue-dependent regularization, a higher registration quality is achieved across all datasets compared to using a global regularizer. The code is available at https://github.com/compai-lab/2024-miccai-reithmeir.","url":"https://arxiv.org/abs/2407.04355v1","authors":["Anna Reithmeir","Lina Felsner","Rickmer Braren","Julia A. Schnabel","Veronika A. Zimmer"],"tags":["cs.CV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-07-05T08:50:55Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2608.24445v1","name":"Forward modelling coronagraphic images with a fully physical, differentiable digital twin of MagAO-X: first laboratory results","source":"arxiv","abstract":"Post-processing of high contrast imaging data relies on an accurate model of the stellar point spread function (PSF). Current techniques build this model from the science images themselves, using observational diversity (e.g., angular, spectral or polarimetric diversity), which can cause self-subtraction of the companion signal and constrains the observing strategy. Telemetry-based forward modelling instead builds the stellar PSF model from wavefront sensor data that is already recorded during the observation. The wavefront sensor measures the coherent starlight and can therefore be used to create a PSF model that only models the stellar light and does not reproduce the incoherent light of a companion. We present a fully physical and differentiable digital twin of the focal plane low-order wavefront sensor (FLOWFS) and the coronagraphic science beam of the MagAO-X instrument, implemented in \\texttt{dLux}, and calibrate it on laboratory data. When fitted directly to the science images, the model reproduces the coronagraphic PSF down to the photon and read noise floor of the data. When instead forward modelled from the FLOWFS telemetry alone, the residuals reach $6\\times10^{-5}$ of the stellar peak at $5\\ λ/D$, a factor of 5 below the raw contrast, with the remaining residual set by how well the wavefront estimate transfers from the FLOWFS branch to the science branch of the model. An injected companion at $5\\ λ/D$ with a peak contrast of $10^{-3}$ is recovered without measurable self-subtraction. We discuss the model improvements currently under development and the path towards on-sky validation.","url":"https://arxiv.org/abs/2608.24445v1","authors":["Matthijs Mars","Sebastiaan Y. Haffert","Louis Desdoigts","Joseph D. Long","Rico Landman","Jared R. Males","Laird M. Close","Kyle Van Gorkom","Olivier Guyon","Alexander D. Hedglen","Sandrine Juillard","Jennifer Lumbres","Lauren Schatz"],"tags":["astro-ph.IM"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-08-25T11:59:51Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2302.10951v2","name":"Twin Theories, Polytope Mutations and Quivers for GTPs","source":"arxiv","abstract":"We propose a unified perspective on two sets of objects that usually arise in the study of bipartite field theories. Each of the sets consists of a polytope, or equivalently a toric Calabi-Yau, and a quiver theory. We refer to the two sets of objects as original and twin. In the simplest cases, the two sides of the correspondence are connected by the graph operation known as untwisting. The democratic treatment that we advocate raises new questions regarding the connections between these objects, some of which we explore. With this motivation in mind, we establish a correspondence between the mutations of the original polytope and the twin quiver. This leads us to propose that non-toric twin quivers are naturally associated to generalized toric polygons (GTPs) and we explore various aspects of this idea. Supporting evidence includes global symmetries, the ability of twin quivers to encode the generalized $s$-rule, and the connection between the mutations of polytopes and of configurations of webs of 5-branes suspended from 7-branes. We introduce three methods for constructing twin quivers for GTPs. We also investigate the connection between twin quivers obtained using different toric phases. Twin quivers provide a powerful new perspective on GTPs. The ideas presented in this paper may represent a step towards the generalization of brane tilings to GTPs.","url":"https://arxiv.org/abs/2302.10951v2","authors":["Sebastián Franco","Rak-Kyeong Seong"],"tags":["hep-th"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-02-21T19:10:46Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2404.15488v1","name":"IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection &amp; Correction Task On the Shoulders of Medical Agents","source":"arxiv","abstract":"In natural language processing applied to the clinical domain, utilizing large language models has emerged as a promising avenue for error detection and correction on clinical notes, a knowledge-intensive task for which annotated data is scarce. This paper presents MedReAct'N'MedReFlex, which leverages a suite of four LLM-based medical agents. The MedReAct agent initiates the process by observing, analyzing, and taking action, generating trajectories to guide the search to target a potential error in the clinical notes. Subsequently, the MedEval agent employs five evaluators to assess the targeted error and the proposed correction. In cases where MedReAct's actions prove insufficient, the MedReFlex agent intervenes, engaging in reflective analysis and proposing alternative strategies. Finally, the MedFinalParser agent formats the final output, preserving the original style while ensuring the integrity of the error correction process. One core component of our method is our RAG pipeline based on our ClinicalCorp corpora. Among other well-known sources containing clinical guidelines and information, we preprocess and release the open-source MedWiki dataset for clinical RAG application. Our results demonstrate the central role of our RAG approach with ClinicalCorp leveraged through the MedReAct'N'MedReFlex framework. It achieved the ninth rank on the MEDIQA-CORR 2024 final leaderboard.","url":"https://arxiv.org/abs/2404.15488v1","authors":["Jean-Philippe Corbeil"],"tags":["cs.CL","cs.AI","cs.MA"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-04-23T20:00:37Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2601.18799v1","name":"Agentic Digital Twins: A Taxonomy of Capabilities for Understanding Possible Futures","source":"arxiv","abstract":"As digital twins (DTs) evolve to become more agentic through the integration of artificial intelligence (AI), they acquire capabilities that extend beyond dynamic representation of their target systems. This paper presents a taxonomy of agentic DTs organised around three fundamental dimensions: the locus of agency (external, internal, distributed), the tightness of coupling (loose, tight, constitutive), and model evolution (static, adaptive, reconstructive). From the resulting 27-configuration space, we identify nine illustrative configurations grouped into three clusters: \"The Present\" (existing tools and emerging steering systems), \"The Threshold\" (where emergent properties appear and coupling becomes constitutive), and \"The Frontier\" (where systems gain reconstructive capabilities). Our analysis explores how agentic DTs exercise performative power--not merely representing physical systems but actively participating in constituting them. Using traffic navigation systems as examples, we show how even passive tools can exhibit emergent performativity, while advanced configurations risk performative lock-in. Drawing on performative prediction theory, we trace a progression from passive tools through active steering to ontological reconstruction, examining how constitutive coupling enables systems to create self-validating realities. Understanding these configurations is essential for navigating the transformation from DTs as mirror worlds to DTs as architects of new ontologies.","url":"https://arxiv.org/abs/2601.18799v1","authors":["Christopher Burr","Mark Enzer","Jason Shepherd","David Wagg"],"tags":["cs.CY","cs.AI","cs.ET"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-01-13T10:49:09Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2104.01663v1","name":"Curating China's Cultural Revolution (1966-1976): CR/10 as a Warburgian Memory Atlas and Digital Humanities Interface","source":"arxiv","abstract":"CR/10 is a digital oral history platform that aims to collect and preserve the cultural memories of China's Cultural Revolution (1966-1976). This paper discusses how CR/10 functions as a Warburgian memory atlas and shapes multifaceted narratives of the historical incident. Through ethnographic research and semi-structured interviews with users within and outside academia, I examined the usability of CR/10 among various user groups and proposed design opportunities to further empower the interface. This paper offered a strong case on the datafication of cultural memories among cultural heritage institutions and contributed to digital archiving scholarship with an innovative methodological lens.","url":"https://arxiv.org/abs/2104.01663v1","authors":["Rongqian Ma"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2021-04-04T18:55:09Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1401.7517v1","name":"Information quantity in a pixel of digital image","source":"arxiv","abstract":"The paper is devoted to the problem of integer-valued estimating of information quantity in a pixel of digital image. The definition of an integer estimation of information quantity based on constructing of the certain binary hierarchy of pixel clusters is proposed. The methods for constructing hierarchies of clusters and generating of hierarchical sequences of image approximations that minimally differ from the image by a standard deviation are developed. Experimental results on integer-valued estimation of information quantity are compared with the results obtained by utilizing of the classical formulas.","url":"https://arxiv.org/abs/1401.7517v1","authors":["M. Kharinov"],"tags":["cs.CV","cs.IT"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2014-01-29T14:03:46Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2601.14823v1","name":"Archives, archival bond, and digital representation: A case study with the International Image Interoperability Framework","source":"arxiv","abstract":"Within the archival sector, digitization has long been a strategic initiative to ensure greater availability of historical documents. In recent years, the promotion of guidelines and standards, combined with technological advancements, has established methodologies and best practices and developed tools to facilitate massive digitization projects. However, despite the availability of technological solutions and guidelines, digitization is intended mostly to scan documents and make the outcome images available online. This practice can be problematic in representing the complex fonds structure made of relations, the archival bond that establishes the natural ordering of documents into archival units. This is particularly relevant when the fonds also has a multimedia component, such as an audiovisual component, that is often reproduced on different platforms disconnected from textual documents. This article addresses the challenges linked to digitization in the archival sector and proposes a methodological framework for representing fonds with respect to their native organization. For this purpose, the International Image Interoperability Framework (IIIF) is employed to configure a specific model that respects the archive's hierarchical structure. In particular, this model is configured to maintain the archival bond and enhance the resource's semantic aspect to make the IIIF model semantically interoperable. To demonstrate the adaptability of the framework to the archival domain, in this work, the ''PCI-Unitelefilm'' fonds of the Fondazione Archivio Audiovisivo del Movimento Operaio e Democratico (AAMOD) served as the case study.","url":"https://arxiv.org/abs/2601.14823v1","authors":["Martin Critelli"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-01-21T09:50:32Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2405.15040v4","name":"Two-dimensional electrons at mirror and twistronic twin boundaries in van der Waals ferroelectrics","source":"arxiv","abstract":"Semiconducting transition metal dichalcogenides (MX$_2$) occur in 2H and rhombohedral (3R) polytypes, respectively distinguished by anti-parallel and parallel orientation of consecutive monolayer lattices. In its bulk form, 3R-MX$_2$ is ferroelectric, hosting an out-of-plane electric polarisation, the direction of which is dictated by stacking. Here, we predict that twin boundaries, separating adjacent polarization domains with reversed built-in electric fields, are able to host two-dimensional electrons and holes with an areal density reaching $\\sim 10^{13} {\\rm cm}^{-2}$. Our modelling suggests that n-doped twin boundaries have a more promising binding energy than p-doped ones, whereas hole accumulation is stable at external surfaces of a twinned film. We also propose that assembling pairs of mono-twin films with a `magic' twist angle $θ^*$ that provides commensurability between the moiré pattern at the interface and the accumulated carrier density, should promote a regime of strongly correlated states of electrons, such as Wigner crystals, and we specify the values of $θ^*$ for homo- and heterostructures of various TMDs.","url":"https://arxiv.org/abs/2405.15040v4","authors":["James G. McHugh","Xue Li","Isaac Soltero","Vladimir I. Fal'ko"],"tags":["cond-mat.mes-hall","cond-mat.mtrl-sci","cond-mat.str-el"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-23T20:38:31Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.15998v1","name":"1024m at SMM4H 2024: Tasks 3, 5 &amp; 6 -- Ensembles of Transformers and Large Language Models for Medical Text Classification","source":"arxiv","abstract":"Social media is a great source of data for users reporting information and regarding their health and how various things have had an effect on them. This paper presents various approaches using Transformers and Large Language Models and their ensembles, their performance along with advantages and drawbacks for various tasks of SMM4H'24 - Classifying texts on impact of nature and outdoor spaces on the author's mental health (Task 3), Binary classification of tweets reporting their children's health disorders like Asthma, Autism, ADHD and Speech disorder (task 5), Binary classification of users self-reporting their age (task 6).","url":"https://arxiv.org/abs/2410.15998v1","authors":["Ram Mohan Rao Kadiyala","M. V. P. Chandra Sekhara Rao"],"tags":["cs.CL","cs.AI","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-21T13:29:08Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2412.04644v3","name":"A bimetric cosmological model based on Andrei Sakharov's twin universe approach","source":"arxiv","abstract":"The standard cosmological model, based on Cold Dark Matter and Dark Energy (ΛCDM), faces several challenges. Among these is the need to adjust the scenario to account for he presence of vast voids in the large-scale structure of the universe, as well as the early formation of the first stars and galaxies. Additionally, the observed matter-antimatter asymmetry in the universe remains an unresolved issue. To address this latter question, Andrei Sakharov proposed a twin universe model in 1967. Building upon this idea and introducing interactions between these two universe sheets through a bimetric model, we propose an alternative interpretation of the large-scale structure of the universe, including its voids and the acceleration of cosmic expansion.","url":"https://arxiv.org/abs/2412.04644v3","authors":["Petit Jean-Pierre","Margnat Florent","Zejli Hicham"],"tags":["gr-qc"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-05T22:28:36Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2512.03115v1","name":"Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks","source":"arxiv","abstract":"Reliable real-time analysis of sensor data is essential for structural health monitoring (SHM) of high-value assets, yet a major challenge is to obtain spatially resolved full-field aleatoric and epistemic uncertainties for trustworthy decision-making. We present an integrated SHM framework that combines principal component analysis (PCA), a Bayesian neural network (BNN), and Hamiltonian Monte Carlo (HMC) inference, mapping sparse strain gauge measurements onto leading PCA modes to reconstruct full-field strain distributions with uncertainty quantification. The framework was validated through cyclic four-point bending tests on carbon fiber reinforced polymer (CFRP) specimens with varying crack lengths, achieving accurate strain field reconstruction (R squared value &gt; 0.9) while simultaneously producing real-time uncertainty fields. A key contribution is that the BNN yields robust full-field strain reconstructions from noisy experimental data with crack-induced strain singularities, while also providing explicit representations of two complementary uncertainty fields. Considered jointly in full-field form, the aleatoric and epistemic uncertainty fields make it possible to diagnose at a local level, whether low-confidence regions are driven by data-inherent issues or by model-related limitations, thereby supporting reliable decision-making. Collectively, the results demonstrate that the proposed framework advances SHM toward trustworthy digital twin deployment and risk-aware structural diagnostics.","url":"https://arxiv.org/abs/2512.03115v1","authors":["Hanbin Cho","Jecheon Yu","Hyeonbin Moon","Jiyoung Yoon","Junhyeong Lee","Giyoung Kim","Jinhyoung Park","Seunghwa Ryu"],"tags":["cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-12-02T10:25:46Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2603.26820v1","name":"Toward Actionable Digital Twins for Radiation-Based Imaging and Therapy: Mathematical Formulation, Modular Workflow, and an OpenKBP-Based Dose-Surrogate Prototype","source":"arxiv","abstract":"Digital twins for radiation-based imaging and therapy are most useful when they assimilate patient data, quantify predictive uncertainty, and support clinically constrained decisions. This paper presents a modular framework for actionable digital twins in radiation-based imaging and therapy and instantiates its reproducible open-data component using the \\openkbpfull{} benchmark. The framework couples PatientData, Model, Solver, Calibration, and Decision modules and formalizes latent-state updating, uncertainty propagation, and chance-constrained action selection. As an initial implementation, we build a GPU-ready PyTorch/MONAI reimplementation of the \\openkbp{} starter pipeline: an 11-channel, 19.2M-parameter 3D U-Net trained with a masked loss over the feasible region and equipped with Monte Carlo dropout for voxel-wise epistemic uncertainty. To emulate the update loop on a static benchmark, we introduce decoder-only proxy recalibration and illustrate uncertainty-aware virtual-therapy evaluation using DVH-based and biological utilities. A complete three-fraction loop including recalibration, Monte Carlo inference, and spatial optimization executes in 10.3~s. On the 100-patient test set, the model achieved mean dose and DVH scores of 2.65 and 1.82~Gy, respectively, with 0.58~s mean inference time per patient. The \\openkbp{} case study thus serves as a reproducible test bed for dose prediction, uncertainty propagation, and proxy closed-loop adaptation, while future institutional studies will address longitudinal calibration with delivered-dose logs and repeat imaging.","url":"https://arxiv.org/abs/2603.26820v1","authors":["Hsin-Hsiung Huang","Bulent Soykan"],"tags":["eess.IV","cs.CV","stat.AP","stat.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-03-26T22:37:18Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1611.07977v2","name":"Cosmological Signals of a Mirror Twin Higgs","source":"arxiv","abstract":"We investigate the cosmology of the minimal model of neutral naturalness, the mirror Twin Higgs. The softly-broken mirror symmetry relating the Standard Model to its twin counterpart leads to significant dark radiation in tension with BBN and CMB observations. We quantify this tension and illustrate how it can be mitigated in several simple scenarios that alter the relative energy densities of the two sectors while respecting the softly-broken mirror symmetry. In particular, we consider both the out-of-equilibrium decay of a new scalar as well as reheating in a toy model of twinned inflation, Twinflation. In both cases the dilution of energy density in the twin sector does not merely reconcile the existence of a mirror Twin Higgs with cosmological constraints, but predicts contributions to cosmological observables that may be probed in current and future CMB experiments. This raises the prospect of discovering evidence of neutral naturalness through cosmology rather than colliders.","url":"https://arxiv.org/abs/1611.07977v2","authors":["Nathaniel Craig","Seth Koren","Timothy Trott"],"tags":["hep-ph","astro-ph.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-11-23T21:00:00Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1611.08615v1","name":"SUSY Meets Her Twin","source":"arxiv","abstract":"We investigate the general structure of mirror symmetry breaking in the Twin Higgs scenario. We show, using the IR effective theory, that a significant gain in fine tuning can be achieved if the symmetry is broken hardly. We emphasize that weakly coupled UV completions can naturally accommodate this scenario. We analyze SUSY UV completions and present a simple Twin SUSY model with a tuning of around 10% and colored superpartners as heavy as 2 TeV. The collider signatures of general Twin SUSY models are discussed with a focus on the extended Higgs sectors.","url":"https://arxiv.org/abs/1611.08615v1","authors":["Andrey Katz","Alberto Mariotti","Stefan Pokorski","Diego Redigolo","Robert Ziegler"],"tags":["hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-11-25T21:14:29Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2307.09073v1","name":"3-spherical twin buildings","source":"arxiv","abstract":"We classify thick irreducible 3-spherical twin buildings of rank at least 3 in which every panel contains at least 6 chambers. Together with the Main result of [11] we obtain a classification of thick irreducible 3-spherical twin buildings.","url":"https://arxiv.org/abs/2307.09073v1","authors":["Sebastian Bischof"],"tags":["math.GR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-07-18T08:47:30Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2403.19713v2","name":"NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification","source":"arxiv","abstract":"This report provide a detailed description of the method that we proposed in the TRAC-2024 Offline Harm Potential dentification which encloses two sub-tasks. The investigation utilized a rich dataset comprised of social media comments in several Indian languages, annotated with precision by expert judges to capture the nuanced implications for offline context harm. The objective assigned to the participants was to design algorithms capable of accurately assessing the likelihood of harm in given situations and identifying the most likely target(s) of offline harm. Our approach ranked second in two separate tracks, with F1 values of 0.73 and 0.96 respectively. Our method principally involved selecting pretrained models for finetuning, incorporating contrastive learning techniques, and culminating in an ensemble approach for the test set.","url":"https://arxiv.org/abs/2403.19713v2","authors":["Jingyuan Wang","Shengdong Xu","Yang Yang"],"tags":["cs.CL","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-03-26T14:09:49Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:0111015v1","name":"The SDSS SkyServer, Public Access to the Sloan Digital Sky Server Data","source":"arxiv","abstract":"The SkyServer provides Internet access to the public Sloan Digital Sky Survey (SDSS) data for both astronomers and for science education. This paper describes the SkyServer goals and architecture. It also describes our experience operating the SkyServer on the Internet. The SDSS data is public and well-documented so it makes a good test platform for research on database algorithms and performance.","url":"https://arxiv.org/abs/cs/0111015v1","authors":["Alexander Szalay","Jim Gray","Ani Thakar","Peter Z. Kunszt","Tanu Malik","Jordan Raddick","Christopher Stoughton","Jan vandenBerg"],"tags":["cs.DL","cs.DB"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2001-11-07T20:39:31Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.03145v2","name":"Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback","source":"arxiv","abstract":"Large language models (LLMs) fine-tuned with alignment techniques, such as reinforcement learning from human feedback, have been instrumental in developing some of the most capable AI systems to date. Despite their success, existing methods typically rely on simple binary labels, such as those indicating preferred outputs in pairwise preferences, which fail to capture the subtle differences in relative quality between pairs. To address this limitation, we introduce an approach called Margin Matching Preference Optimization (MMPO), which incorporates relative quality margins into optimization, leading to improved LLM policies and reward models. Specifically, given quality margins in pairwise preferences, we design soft target probabilities based on the Bradley-Terry model, which are then used to train models with the standard cross-entropy objective. Experiments with both human and AI feedback data demonstrate that MMPO consistently outperforms baseline methods, often by a substantial margin, on popular benchmarks including MT-bench and RewardBench. Notably, the 7B model trained with MMPO achieves state-of-the-art performance on RewardBench as of June 2024, outperforming other models of the same scale. Our analysis also shows that MMPO is more robust to overfitting, leading to better-calibrated models.","url":"https://arxiv.org/abs/2410.03145v2","authors":["Kyuyoung Kim","Ah Jeong Seo","Hao Liu","Jinwoo Shin","Kimin Lee"],"tags":["cs.CL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-04T04:56:11Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2404.11116v1","name":"Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge","source":"arxiv","abstract":"In this challenge, we disentangle the deep filters from the original DeepfilterNet and incorporate them into our Spec-UNet-based network to further improve a hybrid Demucs (hdemucs) based remixing pipeline. The motivation behind the use of the deep filter component lies at its potential in better handling temporal fine structures. We demonstrate an incremental improvement in both the Signal-to-Distortion Ratio (SDR) and the Hearing Aid Audio Quality Index (HAAQI) metrics when comparing the performance of hdemucs against different versions of our model.","url":"https://arxiv.org/abs/2404.11116v1","authors":["Keren Shao","Ke Chen","Shlomo Dubnov"],"tags":["cs.SD","cs.AI","cs.LG","cs.MM","eess.AS"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-04-17T07:01:29Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1905.08798v2","name":"A Predictive Mirror Twin Higgs with Small $\\mathbf{Z}_2$ Breaking","source":"arxiv","abstract":"The twin Higgs mechanism is a solution to the little hierarchy problem in which the top partner is neutral under the Standard Model (SM) gauge group. The simplest mirror twin Higgs (MTH) model -- where a $\\mathbf{Z}_2$ symmetry copies each SM particle -- has too many relativistic degrees of freedom to be consistent with cosmological observations. We demonstrate that MTH models can have an observationally viable cosmology if the twin mass spectrum leads to twin neutrino decoupling before the SM and twin QCD phase transitions. Our solution requires the twin photon to have a mass of $\\sim 20$ MeV and kinetically mix with the SM photon to mediate entropy transfer from the twin sector to the SM. This twin photon can be robustly discovered or excluded by future experiments. Additionally, the residual twin degrees of freedom present in the early Universe in this scenario would be detectable by future observations of the cosmic microwave background.","url":"https://arxiv.org/abs/1905.08798v2","authors":["Keisuke Harigaya","Robert McGehee","Hitoshi Murayama","Katelin Schutz"],"tags":["hep-ph","astro-ph.CO","hep-ex"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-05-21T18:00:00Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2412.06605v1","name":"New developments in the Whizard event generator","source":"arxiv","abstract":"We give a status report on new developments within the Whizard event generator. Important new features comprise NLO electroweak automation (incl. extension to BSM processes like SMEFT), loop-induced processes and new developments in the UFO interface. We highlight work in progress and further plans, such as the implementation of electroweak PDFs, photon radiation, the exclusive top threshold and features for exotic new physics searches.","url":"https://arxiv.org/abs/2412.06605v1","authors":["Jürgen Reuter","Pia Bredt","Marius Höfer","Wolfgang Kilian","Nils Kreher","Maximilian Löschner","Krzysztof Mękała","Thorsten Ohl","Tobias Striegl","Aleksander Filip Żarnecki"],"tags":["hep-ph","hep-ex"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-09T15:54:01Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2308.10724v1","name":"Global visibility of publications through Digital Object Identifiers","source":"arxiv","abstract":"This brief research report analyzes the availability of Digital Object Identifiers (DOIs) worldwide, highlighting the dominance of large publishing houses and the need for unique persistent identifiers to increase the visibility of publications from developing countries. The study reveals that a considerable amount of publications from developing countries are excluded from the global flow of scientific information due to the absence of DOIs, emphasizing the need for alternative publishing models. The authors suggest that the availability of DOIs should receive more attention in scholarly communication and scientometrics, contributing to a necessary debate on DOIs relevant for librarians, publishers, and scientometricians.","url":"https://arxiv.org/abs/2308.10724v1","authors":["Houcemeddine Turki","Grischa Fraumann","Mohamed Ali Hadj Taieb","Mohamed Ben Aouicha"],"tags":["cs.DL","cs.SI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-08-21T13:47:41Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2311.12806v1","name":"MatGD: Materials Graph Digitizer","source":"arxiv","abstract":"We have developed MatGD (Material Graph Digitizer), which is a tool for digitizing a data line from scientific graphs. The algorithm behind the tool consists of four steps: (1) identifying graphs within subfigures, (2) separating axes and data sections, (3) discerning the data lines by eliminating irrelevant graph objects and matching with the legend, and (4) data extraction and saving. From the 62,534 papers in the areas of batteries, catalysis, and MOFs, 501,045 figures were mined. Remarkably, our tool showcased performance with over 99% accuracy in legend marker and text detection. Moreover, its capability for data line separation stood at 66%, which is much higher compared to other existing figure mining tools. We believe that this tool will be integral to collecting both past and future data from publications, and these data can be used to train various machine learning models that can enhance material predictions and new materials discovery.","url":"https://arxiv.org/abs/2311.12806v1","authors":["Jaewoong Lee","Wonseok Lee","Jihan Kim"],"tags":["cs.CV","cs.DL","cs.IR","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-09-19T07:19:16Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2509.02903v2","name":"UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation","source":"arxiv","abstract":"LiDAR-based perception in intelligent transportation systems (ITS) relies on deep neural networks trained with large-scale labeled datasets. However, creating such datasets is expensive, time-consuming, and labor-intensive, limiting the scalability of perception systems. Sim2Real learning offers a scalable alternative, but its success depends on the simulation's fidelity to real-world environments, dynamics, and sensors. This tutorial introduces a reproducible workflow for building high-fidelity digital twins (HiFi DTs) to generate realistic synthetic datasets. We outline practical steps for modeling static geometry, road infrastructure, and dynamic traffic using open-source resources such as satellite imagery, OpenStreetMap, and sensor specifications. The resulting environments support scalable and cost-effective data generation for robust Sim2Real learning. Using this workflow, we have released three synthetic LiDAR datasets, namely UT-LUMPI, UT-V2X-Real, and UT-TUMTraf-I, which closely replicate real locations and outperform real-data-trained baselines in perception tasks. This guide enables broader adoption of HiFi DTs in ITS research and deployment.","url":"https://arxiv.org/abs/2509.02903v2","authors":["Muhammad Shahbaz","Shaurya Agarwal"],"tags":["cs.CV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-09-03T00:12:15Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2602.03801v1","name":"Digital-Twin Empowered Deep Reinforcement Learning For Site-Specific Radio Resource Management in NextG Wireless Aerial Corridor","source":"arxiv","abstract":"Joint base station (BS) association and beam selection in multi-UAV aerial corridors constitutes a challenging radio resource management (RRM) problem. It is driven by high-dimensional action spaces, need for substantial overhead to acquire global channel state information (CSI), rapidly varying propagation channels, and stringent latency requirements. Conventional combinatorial optimization methods, while near-optimal, are computationally prohibitive for real-time operation in such dynamic environments. While learning-based approaches can mitigate computational complexity and CSI overhead, the need for extensive site-specific (SS) datasets for model training remains a key challenge. To address these challenges, we develop a Digital Twin (DT)-enabled two-stage optimization framework that couples physics-based beam gain modeling with DRL for scalable online decision-making. In the first stage, a channel twin (CT) is constructed using a high-fidelity ray-tracing solver with geo-spatial contexts, and network information to capture SS propagation characteristics, and dual annealing algorithm is employed to precompute optimal transmission beam directions. In the second stage, a Multi-Head Proximal Policy Optimization (MH-PPO) agent, equipped with a scalable multi-head actor-critic architecture, is trained on the DT-generated channel dataset to directly map complex channel and beam states to jointly execute UAV-BS-beam association decisions. The proposed PPO agent achieves a 44%-121% improvement over DQN and 249%-807% gain over traditional heuristic based optimization schemes in a dense UAV scenario, while reducing inference latency by several orders of magnitude. These results demonstrate that DT-driven training pipelines can deliver high-performance, low-latency RRM policies tailored to SS deployments suitable for real-time resource management in next-generation aerial corridor networks.","url":"https://arxiv.org/abs/2602.03801v1","authors":["Pulok Tarafder","Zoheb Hassan","Imtiaz Ahmed","Danda B. Rawat","Kamrul Hasan","Cong Pu"],"tags":["eess.SP"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-02-03T18:02:11Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1505.01431v4","name":"Growing the Digital Repository of Mathematical Formulae with Generic LaTeX Sources","source":"arxiv","abstract":"One initial goal for the DRMF is to seed our digital compendium with fundamental orthogonal polynomial formulae. We had used the data from the NIST Digital Library of Mathematical Functions (DLMF) as initial seed for our DRMF project. The DLMF input LaTeX source already contains some semantic information encoded using a highly customized set of semantic LaTeX macros. Those macros could be converted to content MathML using LaTeXML. During that conversion the semantics were translated to an implicit DLMF content dictionary. This year, we have developed a semantic enrichment process whose goal is to infer semantic information from generic LaTeX sources. The generated context-free semantic information is used to build DRMF formula home pages for each individual formula. We demonstrate this process using selected chapters from the book \"Hypergeometric Orthogonal Polynomials and their $q$-Analogues\" (2010) by Koekoek, Lesky and Swarttouw (KLS) as well as an actively maintained addendum to this book by Koornwinder (KLSadd). The generic input KLS and KLSadd LaTeX sources describe the printed representation of the formulae, but does not contain explicit semantic information. See http://drmf.wmflabs.org.","url":"https://arxiv.org/abs/1505.01431v4","authors":["Howard S. Cohl","Moritz Schubotz","Marjorie A. McClain","Bonita V. Saunders","Cherry Y. Zou","Azeem S. Mohammed","Alex A. Danoff"],"tags":["cs.DL","cs.IR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2015-05-06T16:51:31Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2208.14380v1","name":"Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep Q-Networks","source":"arxiv","abstract":"Base stations (BSs) are the most energy-consuming segment of mobile networks. To reduce BS energy consumption, different components of BSs can sleep when BS is not active. According to the activation/deactivation time of the BS components, multiple sleep modes (SMs) are defined in the literature. In this study, we model the problem of BS energy saving utilizing multiple sleep modes as a sequential MDP and propose an online traffic-aware deep reinforcement learning approach to maximize the long-term energy saving. However, there is a risk that BS is not sleeping at the right time and incurs large delays to the users. To tackle this issue, we propose to use a digital twin model to encapsulate the dynamics underlying the investigated system and estimate the risk of decision-making (RDM) in advance. We define a novel metric to quantify RDM and predict the performance degradation. The RDM calculated by DT is compared with a tolerable threshold set by the mobile operator. Based on this comparison, BS can decide to deactivate the SMs, re-train when needed to avoid taking high risks, or activate the SMs to benefit from energy savings. For deep reinforcement learning, we use long-short term memory (LSTM), to take into account the long and short-term dependencies in input traffic, and approximate the Q-function. We train the LSTM network using the experience replay method over a real traffic data set obtained from an operator BS in Stockholm. The data set contains data rate information with very coarse-grained time granularity. Thus, we propose a scheme to generate a new data set using the real network data set which 1) has finer-grained time granularity and 2) considers the bursty behavior of traffic data. Simulation results show that using proposed methods, considerable energy saving is obtained, compared to the baselines at cost of negligible number of delayed users.","url":"https://arxiv.org/abs/2208.14380v1","authors":["Meysam Masoudi","Ebrahim Soroush","Jens Zander","Cicek Cavdar"],"tags":["eess.SY"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-08-30T16:42:33Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1906.08736v2","name":"On the interaction of precipitates and tensile twins in magnesium alloys","source":"arxiv","abstract":"Although magnesium alloys deform extensively through shear strains and crystallographic re-orientations associated with the growth of twins, little is known about the strengthening mechanisms associated with this deformation mode. A crystal plasticity based phase field model for twinning is employed in this work to study the strengthening mechanisms resulting from the interaction between twin growth and precipitates. The full-field simulations reveal in great detail the pinning and de-pinning of a twin boundary at individual precipitates, resulting in a maximum resistance to twin growth when the precipitate is partially embedded in the twin. Furthermore, statistically representative precipitate distributions are used to systematically investigate the influence of key microstructural parameters such as precipitate orientation, volume fraction, size, and aspect ratio on the resistance to twin growth. The results indicate that the effective critical resolved shear stress (CRSS) for twin growth increases linearly with precipitate volume fraction and aspect ratio. For a constant volume fraction of precipitates, reduction of the precipitate size below a critical level produces a strong increase in the CRSS due to the Orowan-like strengthening mechanism between the twin interface and precipitates. Above this level the CRSS is size independent. The results are quantitatively and qualitatively comparable with experimental measurements and predictions of mean-field strengthening models. Based on the results, guidelines for the design of high strength magnesium alloys are discussed.","url":"https://arxiv.org/abs/1906.08736v2","authors":["Chuanlai. Liu","Pratheek. Shanthraj","Joseph. Robson","Martin. Diehl","Shuai. Dong","Jie. Dong","Wenjiang. Ding","Dierk. Raabe"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-06-20T16:33:10Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1806.01936v1","name":"Selection and Estimation Optimality in High Dimensions with the TWIN Penalty","source":"arxiv","abstract":"We introduce a novel class of variable selection penalties called TWIN, which provides sensible data-adaptive penalization. Under a linear sparsity regime and random Gaussian designs we show that penalties in the TWIN class have a high probability of selecting the correct model and furthermore result in minimax optimal estimators. The general shape of penalty functions in the TWIN class is the key ingredient to its desirable properties and results in improved theoretical and empirical performance over existing penalties. In this work we introduce two examples of TWIN penalties that admit simple and efficient coordinate descent algorithms, making TWIN practical in large data settings. We demonstrate in challenging and realistic simulation settings with high correlations between active and inactive variables that TWIN has high power in variable selection while controlling the number of false discoveries, outperforming standard penalties.","url":"https://arxiv.org/abs/1806.01936v1","authors":["Xiaowu Dai","Jared D. Huling"],"tags":["stat.ME"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2018-06-05T21:11:59Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2405.04695v1","name":"Relationship of temperature changes in the mesopause region with the climate changes at the surface from observations in 1960-2024","source":"arxiv","abstract":"The results of an analysis of temperature variations in the mesopause region based on long-term measurements of hydroxyl airglow at the Zvenigorod Scientific Station of the A.M. Obukhov Institute of Atmospheric Physics RAS (ZSS IAP RAS) in 1960-2024 in comparison with variations of surface temperature characterizing global-scale climate changes are presented. Along with temperature variations in the mesopause region, two versions of temperature variations in the mesopause region, normalized to the same level of solar activity, were analyzed. Quantitative estimates of a strong decrease in temperature in the mesopause region over the past decades in winter against the background of a global increase in surface temperature have been obtained. It was noted that significant coherence of long-term variations for temperature in the mesopause region with the surface temperature in the Northern Hemisphere with the use of cross-wavelet analysis, what was not previously evident in data for a shorter time interval. The possibility of such coherence was predicted in (Mokhov et al., 2017) under the continuation of global warming based on the results of model simulations for the 20-21 centuries, taking into account anthropogenic forcing. It was not previously manifested from observational data for a shorter time interval. Along with long-term trends, features of a sharp decrease in temperature in the mesopause region in the 1970s with its synchronicity with the known shift in surface climate regimes associated with El Niño events were analyzed. The results of cross-wavelet analysis using data obtained at the ZSS IAP RAS for the time interval 1960-2024 indicate a more significant connection between temperature variations in the mesopause region and El Nino indices in recent decades.","url":"https://arxiv.org/abs/2405.04695v1","authors":["I. I. Mokhov","I. A. Fomina","V. I. Perminov"],"tags":["physics.ao-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-07T22:15:58Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1002.4154v1","name":"The twin paradox and the principle of relativity","source":"arxiv","abstract":"In the standard formulation of the twin paradox an accelerated twin considers himself as at rest and his brother as moving. Hence, when formulating the twin paradox, one uses the general principle of relativity, i.e. that accelerated and rotational motion is relative. The significance of perfect inertial dragging for the validity of the principle of relativity is made clear. Three new results are reviewed in the discussion. A cosmic time effect which cannot be reduced to the gravitational or the kinematical time dilation. Perfect dragging in an exact solution of Einsteins field equations describing flat spacetime inside a shell with Kerr spacetime outside it. An extended model of Minkowski spacetime in order to avoid introducing absolute acceleration and rotation through the asymptotic emptiness of the Kerr spacetime.","url":"https://arxiv.org/abs/1002.4154v1","authors":["Oyvind Gron"],"tags":["physics.gen-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2010-02-22T17:30:37Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2412.01020v1","name":"AI Benchmarks and Datasets for LLM Evaluation","source":"arxiv","abstract":"LLMs demand significant computational resources for both pre-training and fine-tuning, requiring distributed computing capabilities due to their large model sizes \\cite{sastry2024computing}. Their complex architecture poses challenges throughout the entire AI lifecycle, from data collection to deployment and monitoring \\cite{OECD_AIlifecycle}. Addressing critical AI system challenges, such as explainability, corrigibility, interpretability, and hallucination, necessitates a systematic methodology and rigorous benchmarking \\cite{guldimann2024complai}. To effectively improve AI systems, we must precisely identify systemic vulnerabilities through quantitative evaluation, bolstering system trustworthiness. The enactment of the EU AI Act \\cite{EUAIAct} by the European Parliament on March 13, 2024, establishing the first comprehensive EU-wide requirements for the development, deployment, and use of AI systems, further underscores the importance of tools and methodologies such as Z-Inspection. It highlights the need to enrich this methodology with practical benchmarks to effectively address the technical challenges posed by AI systems. To this end, we have launched a project that is part of the AI Safety Bulgaria initiatives \\cite{AI_Safety_Bulgaria}, aimed at collecting and categorizing AI benchmarks. This will enable practitioners to identify and utilize these benchmarks throughout the AI system lifecycle.","url":"https://arxiv.org/abs/2412.01020v1","authors":["Todor Ivanov","Valeri Penchev"],"tags":["cs.DC","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-02T00:38:57Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2205.00718v3","name":"What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries","source":"arxiv","abstract":"Knowledge bases allow effective access paths in digital libraries. Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories of interest, harvesting statements from them to construct knowledge bases may be a serious threat to the statements' validity. A piece of information, originally stated in a coherent line of arguments, could be used in a knowledge base query processing without considering its vital context conditions. And this can lead to invalid results. That is why we argue to move towards narrative information access by considering contexts in the query processing step. In this way digital libraries can allow users to query for narrative information and supply them with valid answers. In this paper we define narrative information access, demonstrate its benefits for Covid 19 related questions, and argue on the generalizability for other domains such as political sciences.","url":"https://arxiv.org/abs/2205.00718v3","authors":["Hermann Kroll","Florian Plötzky","Jan Pirklbauer","Wolf-Tilo Balke"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-05-02T08:14:40Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1910.13146v1","name":"Photonic hook generated by twin-ellipse microcylinder","source":"arxiv","abstract":"Recently, two special photonic jets, photonic hooks and twin photonic jets, have been proposed to deal with complex conditions in nanoscale manipulation. Photonic hooks are generated by a single light plane wave and an asymmetric microparticle, while the twin photonic jets are produced by two incident light beams. In this letter, we presented and demonstrate a method to combine photonic hooks and twin photonic jets. A single light plane wave and a symmetric microparticle, twin-ellipse microcylinder, are used in this research. The curvature degree, length and maximum E2 filed enhancement of twin photonic hooks are varied significantly, with the change of refractive indices and shape of twin-ellipse microcylinder. And a liquid-immersed core-shell is built to achieve a flexible tunability.","url":"https://arxiv.org/abs/1910.13146v1","authors":["Xingliang Shen","Guoqiang Gu","Liyang Shao","Zeng Peng","Jie Hu","Sankhyabrata Bandyopadhyay","Yuhui Liu","Jiahao Jiang","Ming Chen"],"tags":["physics.optics"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-10-29T09:30:41Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1911.05085v1","name":"Dilaton portal in strongly interacting twin Higgs models","source":"arxiv","abstract":"We consider a strongly interacting twin Higgs (SITH) model where an ultraviolet completion of twin Higgs mechanism is realized by a strongly coupled approximately scale invariant theory. Besides the Standard Model (SM) and twin sectors, the low energy effective theory contains a relatively light scalar called a dilaton --- the pseudo Goldstone boson of spontaneously broken scale invariance. The dilaton provides a unique portal between the SM and twin sectors whose phenomenology could provide an important probe of the twin Higgs mechanism. As a concrete example, we consider a holographic twin Higgs model where the role of the dilaton is played by the radion. The phenomenology of this model is fully determined by a few parameters and our analysis concludes that at the HL-LHC (14 TeV) and HE-LHC (27 TeV) with 3000/fb most of the natural parameter space can be probed.","url":"https://arxiv.org/abs/1911.05085v1","authors":["Aqeel Ahmed","Barry M. Dillon","Saereh Najjari"],"tags":["hep-ph","hep-th"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-11-12T19:00:02Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:0612126v1","name":"A trip to the end of the universe and the twin paradox","source":"arxiv","abstract":"In principle, the twin paradox offers the possibility to go on a trip to the center of our galaxy or even to the end of our universe within life time. In order to be a most comfortable journey the voyaging twin accelerates with Earth's gravity. We developed some Java applets to visualize what both twins could really measure, namely time signals and light coming from the surrounding sky.","url":"https://arxiv.org/abs/physics/0612126v1","authors":["Thomas Mueller","Andreas King","Daria Adis"],"tags":["physics.ed-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2006-12-13T10:53:27Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2510.05123v1","name":"A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI","source":"arxiv","abstract":"Neuro-oncological prognostics are now vital in modern clinical neuroscience because brain tumors pose significant challenges in detection and management. To tackle this issue, we propose a cognitive digital twin framework that combines real-time EEG signals from a wearable skullcap with structural MRI data for dynamic and personalized tumor monitoring. At the heart of this framework is an Enhanced Vision Transformer (ViT++) that includes innovative components like Patch-Level Attention Regularization (PLAR) and an Adaptive Threshold Mechanism to improve tumor localization and understanding. A Bidirectional LSTM-based neural classifier analyzes EEG patterns over time to classify brain states such as seizure, interictal, and healthy. Grad-CAM-based heatmaps and a three.js-powered 3D visualization module provide interactive anatomical insights. Furthermore, a tumor kinetics engine predicts volumetric growth by looking at changes in MRI trends and anomalies from EEG data. With impressive accuracy metrics of 94.6% precision, 93.2% recall, and a Dice score of 0.91, this framework sets a new standard for real-time, interpretable neurodiagnostics. It paves the way for future advancements in intelligent brain health monitoring.","url":"https://arxiv.org/abs/2510.05123v1","authors":["Saptarshi Banerjee","Himadri Nath Saha","Utsho Banerjee","Rajarshi Karmakar","Jon Turdiev"],"tags":["eess.IV","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-09-30T04:37:32Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2406.09992v1","name":"The work of Walter Bergweiler in value distribution of meromorphic functions","source":"arxiv","abstract":"This is a colloquium talk in CAU, Kiel delivered on June 7, 2024 on the occasion of Walter Bergweiler's retirement. Walter's work on meromorphic functions consists of two parts: generalizations of Picard's theorem to differential polynomials, and the applications of the rescaling principle known as the Bloch Principle. Since the talk was aimed at the general audience, a brief introduction to Nevanlinna theory is included.","url":"https://arxiv.org/abs/2406.09992v1","authors":["Alexandre Eremenko"],"tags":["math.CV","math.HO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-06-14T13:05:02Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:0104077v2","name":"On Radar Time and the Twin `Paradox'","source":"arxiv","abstract":"In this paper we apply the concept of radar time (popularised by Bondi in his work on k-calculus) to the well-known relativistic twin `paradox'. Radar time is used to define hypersurfaces of simultaneity for a class of travelling twins, from the `Immediate Turn-around' case, through the `Gradual Turn-around' case, to the `Uniformly Accelerating' case. We show that this definition of simultaneity is independent of choice of coordinates, and assigns a unique time to any event (with which the travelling twin can send and receive signals), resolving some common misconceptions.","url":"https://arxiv.org/abs/gr-qc/0104077v2","authors":["Carl E. Dolby","Stephen F. Gull"],"tags":["gr-qc","hep-th"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2001-04-24T15:25:21Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2410.02446v2","name":"Quantum Machine Learning for Digital Health? A Systematic Review","source":"arxiv","abstract":"With the digitization of health data, the growth of electronic health and medical records lowers barriers for using algorithmic techniques for data analysis. While classical machine learning techniques for health data approach commercialization, there is not yet clear evidence whether quantum machine learning (QML) will provide any empirical advantage for digital health data processing. In this systematic literature review we assess whether QML algorithms have the potential to outperform existing classical methods in efficacy or efficiency. We include digital electronic health/medical records (EH/MRs) and data considered to be a reasonable proxy to EH/MRs. Eligible QML algorithms must be designed for quantum computing hardware, as opposed to quantum-inspired techniques. PubMed, Embase, IEEE, Scopus and arXiv yielded 4915 studies between 2015 to 10 June 2024. After screening 169 eligible studies, most studies contained widespread technical misconceptions about QML and we excluded 123 studies for insufficient rigor in analysis. Of the remaining 46 studies, only 16 studies consider realistic QML operating conditions, either by testing algorithms on quantum hardware, or using noisy quantum circuits when assessing QML algorithms. We find QML applications in digital health focus primarily on clinical decision support rather than health service delivery or public health. Nearly all QML models are linear quantum models, and therefore represent a subset of general quantum algorithms. Meanwhile, novel data-encoding strategies do not address scalability issues, except in regimes requiring restrictive assumptions about quantum hardware, rendering these protocols inefficient for the general encoding of large health datasets. By establishing the current state of evidence for QML-based health applications, we pave the way for meaningful dialogue about QML use-case discovery in digital health.","url":"https://arxiv.org/abs/2410.02446v2","authors":["Riddhi S. Gupta","Carolyn E. Wood","Teyl Engstrom","Jason D. Pole","Sally Shrapnel"],"tags":["quant-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-03T12:41:28Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1601.07556v2","name":"Gamma-rays from Dark Showers with Twin Higgs Models","source":"arxiv","abstract":"We consider a twin WIMP scenario whose twin sector contains a full dark copy of the SM hadrons, where the lightest twin particles are twin pions. By analogy to the standard WIMP paradigm, the dark matter (DM) freezes out through twin electroweak interactions, and annihilates into a dark shower of light twin hadrons. These are either stable or decay predominantly to standard model (SM) photons. We show that this 'hadrosymmetric' scenario can be consistent with all applicable astrophysical, cosmological and collider constraints. In order to decay the twin hadrons before the big-bang nucleosynthesis epoch, an additional portal between the SM and twin sector is required. In most cases we find this additional mediator is within reach of either the LHC or future intensity frontier experiments. Furthermore, we conduct simulations of the dark shower and consequent photon spectra. We find that fits of these spectra to the claimed galactic center gamma-ray excess seen by Fermi-LAT non-trivially coincide with regions of parameter space that both successfully generate the observed DM abundance and exhibit minimal fine-tuning.","url":"https://arxiv.org/abs/1601.07556v2","authors":["Marat Freytsis","Simon Knapen","Dean J. Robinson","Yuhsin Tsai"],"tags":["hep-ph","astro-ph.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-01-27T21:00:10Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1608.01314v1","name":"The Radiative Z2 Breaking Twin Higgs","source":"arxiv","abstract":"In twin Higgs model, the Higgs boson mass is protected by a $Z_2$ symmetry. The $Z_2$ symmetry needs to be broken either explicitly or spontaneously to obtain misalignment between electroweak and new physics vacua. We propose a novel $Z_2$ breaking mechanism, in which the $Z_2$ is spontaneously broken by radiative corrections to the Higgs potential. Two twin Higgses with different vacua are needed, and vacuum misalignment is realized by opposite but comparable contributions from gauge and Yukawa interactions to the potential. Due to fully radiative symmetry breaking, the Higgs sector is completely determined by twin Higgs vacuum, Yukawa and gauge couplings. There are eight pseudo-Goldstone bosons: the Higgs boson, inert doublet Higgs, and three twin scalars. We show the 125 GeV Higgs mass and constraints from Higgs coupling measurements could be satisfied.","url":"https://arxiv.org/abs/1608.01314v1","authors":["Jiang-Hao Yu"],"tags":["hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-08-03T20:00:02Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2604.26105v1","name":"Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks","source":"arxiv","abstract":"We investigate task-success-oriented resource allocation for federated split learning (FSL) at the wireless edge. In this setting, the server must jointly determine bandwidth, transmit power, split-layer placement, compression level, and terminal participation under per-round deadline, memory, and spectrum constraints. These coupled decisions affect wireless transmission, model training, and task execution, which evolve at different time scales and cannot be efficiently evaluated through repeated real-world trials. To address this challenge, we propose TiLP, a twin-in-the-loop planner that evaluates candidate decisions through a cross-domain digital twin before execution. The twin integrates network, training, and task sub-twins, with each sub-twin calibrated at the time scale of the process it models. Based on this twin, TiLP performs receding-horizon cross-entropy method planning with actor-critic guidance to search over mixed continuous-discrete decisions. Experiments on LIBERO robotic manipulation tasks over a Sionna RT-simulated wireless network show that TiLP improves task success by 9.5 percentage points over the strongest single-axis baseline, while satisfying the per-round deadline and energy budget.","url":"https://arxiv.org/abs/2604.26105v1","authors":["Zihao Ding","Beining Wu","Jun Huang","Shiwen Mao"],"tags":["cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-04-28T20:42:57Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2605.24662v2","name":"OpenTwin: Closed-Loop Digital Twins for Trustworthy Policy Deployment in Open RAN","source":"arxiv","abstract":"In open radio access networks (O-RAN), the near-real-time RAN Intelligent Controller (RIC) hosts third-party xApps whose training and validation risk disrupting the operational network. Disaggregation amplifies this risk, as no single party can certify a control action end to end. Indeed, our testbed shows an E2 control request reported as successful while the base station never applies the change. Digital twins (DTs) promise safe policy evaluation, yet existing O-RAN DTs largely rely on hand-crafted models, run without feedback from the deployment, and never say how often their predictions can be trusted. To fill this gap, we present OpenTwin, a closed-loop framework that learns the simulator configuration reproducing an operating deployment streamed measurements, certifies the resulting DT by re-simulation, calibrates it online, and evaluates each xApp action before it executes on the physical network. Every trust decision carries an error rate bounded by an operator-prescribed budget, with a drift detector limiting needless resynchronizations and a conformal fidelity gate admitting an action only when its predicted outcome range lies in the safe region. Extensive experiments across simulation and real-world testbeds confirm single-digit percentage error in reproduced measurements, false approvals an order of magnitude below every budget from 0.05 to 0.30, and a gated energy-saving xApp that retains roughly 40% of the saving achievable with perfect foresight.","url":"https://arxiv.org/abs/2605.24662v2","authors":["Zifan Zhang","Md Sharif Hossen","Dara Ron","Vijay K. Shah","Yuchen Liu"],"tags":["cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-05-23T17:04:12Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2104.09617v1","name":"Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model","source":"arxiv","abstract":"In this work, we show the process of building a large-scale training set from digital and digitized collections at a national library. The resulting Bidirectional Encoder Representations from Transformers (BERT)-based language model for Norwegian outperforms multilingual BERT (mBERT) models in several token and sequence classification tasks for both Norwegian Bokmål and Norwegian Nynorsk. Our model also improves the mBERT performance for other languages present in the corpus such as English, Swedish, and Danish. For languages not included in the corpus, the weights degrade moderately while keeping strong multilingual properties. Therefore, we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.","url":"https://arxiv.org/abs/2104.09617v1","authors":["Per E Kummervold","Javier de la Rosa","Freddy Wetjen","Svein Arne Brygfjeld"],"tags":["cs.CL","cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2021-04-19T20:36:24Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2105.05269v1","name":"The fate of twin stars on the unstable branch: implications for the formation of twin stars","source":"arxiv","abstract":"Hybrid hadron-quark equations of state that give rise a third family of stable compact stars have been shown to be compatible with the LIGO-Virgo event GW170817. Stable configurations in the third family are called hybrid hadron-quark stars. The equilibrium stable hybrid hadron-quark star branch is separated by the stable neutron star branch with a branch of unstable hybrid hadron-quark stars. The end-state of these unstable configurations has not been studied, yet, and it could have implications for the formation and existence of twin stars -- hybrid stars with the same mass as neutron stars but different radii. We modify existing hybrid hadron-quark equations of state with a first-order phase transition in order to guarantee a well-posed initial value problem of the equations of general relativistic hydrodynamics, and study the dynamics of non-rotating or rotating unstable twin stars via 3-dimensional simulations in full general relativity. We find that unstable twin stars naturally migrate toward the hadronic branch. Before settling into the hadronic regime, these stars undergo (quasi)radial oscillations on a dynamical timescale while the core bounces between the two phases. Our study suggests that it may be difficult to form stable twin stars if the phase transition is sustained over a large jump in energy density, and hence it may be more likely that astrophysical hybrid hadron-quark stars have masses above the twin star regime. We also study the minimum-mass instability for hybrid stars, and find that these configurations do not explode, unlike the minimum-mass instability for neutron stars. Additionally, our results suggest that oscillations between the two Quantum Chromodynamic phases could provide gravitational wave signals associated with such phase transitions in core-collapse supernovae and white dwarf-neutron star mergers.","url":"https://arxiv.org/abs/2105.05269v1","authors":["Pedro Espino","Vasileios Paschalidis"],"tags":["astro-ph.HE"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2021-05-11T18:01:17Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2505.18201v2","name":"Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones","source":"arxiv","abstract":"Controlling flapping-wing drones requires controllers that handle time-varying, nonlinear, underactuated dynamics from incomplete, noisy sensor data. Recent advances in artificial intelligence (AI), particularly reinforcement learning (RL), have opened new perspectives for addressing such complex control problems through data-driven policy optimization from interaction with the environment. Yet purely data-driven methods are sample-inefficient, demanding extensive, sometimes unsafe exploration, especially without guiding physical models. This motivates hybrid AI-physics frameworks. This article proposes a hybrid model-free/model-based flight-control approach using the reinforcement twinning algorithm. The model-based (MB) component uses an adjoint formulation and an adaptive digital twin continuously identified from live trajectories; the model-free (MF) component uses RL. The two agents share knowledge via transfer learning, imitation learning, and shared experience between the real environment and the digital twin, coordinated by a policy referee that selects which agent acts in reality based on digital-twin performance and a real-to-virtual consistency ratio. The framework is evaluated for the longitudinal control of a flapping-wing drone, modelled as a nonlinear time-varying system driven by quasi-steady aerodynamic forces. The hybrid strategy is tested under three adaptive-model initializations: (1) offline identification from existing data, (2) random initialization with fully online identification, and (3) offline pre-training with biased parameters followed by online adaptation. In all cases, the hybrid framework improves performance, robustness, and sample efficiency over purely model-free and purely model-based approaches.","url":"https://arxiv.org/abs/2505.18201v2","authors":["Romain Poletti","Lorenzo Schena","Lilla Koloszar","Joris Degroote","Miguel Alfonso Mendez"],"tags":["cs.RO","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-05-21T12:27:09Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2311.06341v2","name":"Baryogenesis through Asymmetric Reheating in the Mirror Twin Higgs","source":"arxiv","abstract":"We present the $νφ$MTH, a Mirror Twin Higgs (MTH) model realizing asymmetric reheating, baryogenesis and twin-baryogenesis through the out-of-equilibrium decay of a right-handed neutrino without any hard $\\mathbb{Z}_2$ breaking. The MTH is the simplest Neutral Naturalness solution to the little hierarchy problem and predicts the existence of a twin dark sector related to the Standard Model (SM) by a $\\mathbb{Z}_2$ symmetry that is only softly broken by a higher twin Higgs vacuum expectation value. The asymmetric reheating cools the twin sector compared to the visible one, thus evading cosmological bounds on $ΔN_{\\mathrm{eff}}$. The addition of (twin-)colored scalars allows for the generation of the visible baryon asymmetry and, by the virtue of the $\\mathbb{Z}_2$ symmetry, also results in the generation of a twin baryon asymmetry. We identify a unique scenario with top-philic couplings for the new scalars that can satisfy all cosmological, proton decay and LHC constraints; yield the observed SM baryon asymmetry; and generate a wide range of possible twin baryon DM fractions, from negligible to unity. The viable regime of the theory contains several hints as to the possible structure of the Twin Higgs UV completion. Our results motivate the search for the rich cosmological and astrophysical signatures of twin baryons, and atomic dark matter more generally, at cosmological, galactic and stellar scales.","url":"https://arxiv.org/abs/2311.06341v2","authors":["Gonzalo Alonso-Álvarez","David Curtin","Andrija Rasovic","Zhihan Yuan"],"tags":["hep-ph","astro-ph.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-11-10T19:00:01Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2606.17666v1","name":"FacProcessTwin: An LLM-Based System for Process Twin Development","source":"arxiv","abstract":"Process twins provide real-time representations of entire production processes. By capturing how process steps interact, rather than monitoring a single machine in isolation as an asset-based digital twin does, they have the potential to drive efficiency gains across the whole process. However, developing a process twin is costly. It requires accurately modelling the entire production process: its process steps, the equipment and product-specific settings each step uses, and its process variations. The resulting model must then be bound to live operational data. We present FacProcessTwin, a system that leverages a large language model (LLM) to reduce this development time, building a process twin from a plant's process documentation and natural-language input from an operator. FacProcessTwin generates this complete process model and then automatically binds its process steps to live operational data. The generated model and its data bindings are rendered as an interactive process diagram through which manufacturing personnel can monitor and correct the system's autonomous decisions, such as resolving uncertainty at safety-critical binding steps. We evaluate FacProcessTwin through a real-world case study of an Australian food manufacturer, covering 16 production process flows that span chilled, frozen, and aseptic shelf-stable product categories and include process variations within the same product. The results show that FacProcessTwin generates these process models accurately (a mean F1 of 95.2% against ground truth) and builds each twin in roughly a sixth of the manual time. Its human-in-the-loop governance then keeps the safety-critical bindings correct: at ambiguous tags where a single-pass baseline silently mis-binds 75.0% of the time, FacProcessTwin defers to the operator and mis-binds none.","url":"https://arxiv.org/abs/2606.17666v1","authors":["Yash Pulse","Yong-Bin Kang","Abhik Banerjee","Prem Prakash Jayaraman"],"tags":["cs.SE","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-06-16T08:27:43Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1108.4041v2","name":"Extracting, Transforming and Archiving Scientific Data","source":"arxiv","abstract":"It is becoming common to archive research datasets that are not only large but also numerous. In addition, their corresponding metadata and the software required to analyse or display them need to be archived. Yet the manual curation of research data can be difficult and expensive, particularly in very large digital repositories, hence the importance of models and tools for automating digital curation tasks. The automation of these tasks faces three major challenges: (1) research data and data sources are highly heterogeneous, (2) future research needs are difficult to anticipate, (3) data is hard to index. To address these problems, we propose the Extract, Transform and Archive (ETA) model for managing and mechanizing the curation of research data. Specifically, we propose a scalable strategy for addressing the research-data problem, ranging from the extraction of legacy data to its long-term storage. We review some existing solutions and propose novel avenues of research.","url":"https://arxiv.org/abs/1108.4041v2","authors":["Daniel Lemire","Andre Vellino"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2011-08-19T20:16:02Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2405.11058v2","name":"Exploring the hadronic landscape, a novel search in multijet events at the ATLAS experiment","source":"arxiv","abstract":"The exceptionally accurate Standard Model (SM) theory of fundamental interactions is known to be incomplete. Many new theories extend the SM, trying to solve some of the most compelling puzzles of nature. Since the start of LHC experiments, a wide range of the accessible phase space has been explored, setting robust limits on new physics. Yet, many alternative models offering less constrained final states are to be evaluated. A new search for Beyond Standard Model (BSM) physics at the ATLAS experiment in an all-hadronic final state with many jets and minimal missing energy is presented. These proceedings follow a presentation at Moriond Electroweak 2024 and published results 2401.16333.","url":"https://arxiv.org/abs/2405.11058v2","authors":["Anthony Badea"],"tags":["hep-ex"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-17T19:14:49Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2212.14811v1","name":"The Twin Paradox Put to Rest","source":"arxiv","abstract":"In this letter, we give a simple and analytical solution to the twin paradox. It relies just on Lorentz transformations and does not involve accelerated frames or any kind of signals exchanged between the twins. We expect that with this we can put a dead end to this century-old problem.","url":"https://arxiv.org/abs/2212.14811v1","authors":["G. Alencar"],"tags":["physics.pop-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-12-23T17:41:45Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1804.08342v1","name":"ARCHANGEL: Trusted Archives of Digital Public Documents","source":"arxiv","abstract":"We present ARCHANGEL; a de-centralised platform for ensuring the long-term integrity of digital documents stored within public archives. Document integrity is fundamental to public trust in archives. Yet currently that trust is built upon institutional reputation --- trust at face value in a centralised authority, like a national government archive or University. ARCHANGEL proposes a shift to a technological underscoring of that trust, using distributed ledger technology (DLT) to cryptographically guarantee the provenance, immutability and so the integrity of archived documents. We describe the ARCHANGEL architecture, and report on a prototype of that architecture build over the Ethereum infrastructure. We report early evaluation and feedback of ARCHANGEL from stakeholders in the research data archives space.","url":"https://arxiv.org/abs/1804.08342v1","authors":["John Collomosse","Tu Bui","Alan Brown","John Sheridan","Alex Green","Mark Bell","Jamie Fawcett","Jez Higgins","Olivier Thereaux"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2018-04-23T11:24:34Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1707.00490v1","name":"Evidence of new twinning modes in magnesium questioning the shear paradigm","source":"arxiv","abstract":"Twinning is an important deformation mode of hexagonal close-packed metals. The crystallographic theory is based on the 150-years old concept of simple shear. The habit plane of the twin is the shear plane, it is invariant. Here we present Electron BackScatter Diffraction observations and crystallographic analysis of a millimeter size twin in a magnesium single crystal whose straight habit plane, unambiguously determined both the parent crystal and in its twin, is not an invariant plane. This experimental evidence demonstrates that macroscopic deformation twinning can be obtained by a mechanism that is not a simple shear. Beside, this unconventional twin is often co-formed with a new conventional twin that exhibits the lowest shear magnitude ever reported in metals. The existence of unconventional twinning introduces a shift of paradigm and calls for the development of a new theory for the displacive transformations","url":"https://arxiv.org/abs/1707.00490v1","authors":["Cyril Cayron","Roland Loge"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2017-07-03T11:53:00Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:1608.07759v1","name":"On the Observation and Simulation of Solar Coronal Twin Jets","source":"arxiv","abstract":"We present the first observation, analysis and modeling of solar coronal twin jets, which occurred after a preceding jet. Detailed analysis on the kinetics of the preceding jet reveals its blowout-jet nature, which resembles the one studied in Liu et al. 2014. However the erupting process and kinetics of the twin jets appear to be different from the preceding one. In lack of the detailed information on the magnetic fields in the twin jet region, we instead use a numerical simulation using a three-dimensional (3D) MHD model as described in Fang et al. 2014, and find that in the simulation a pair of twin jets form due to reconnection between the ambient open fields and a highly twisted sigmoidal magnetic flux which is the outcome of the further evolution of the magnetic fields following the preceding blowout jet. Based on the similarity between the synthesized and observed emission we propose this mechanism as a possible explanation for the observed twin jets. Combining our observation and simulation, we suggest that with continuous energy transport from the subsurface convection zone into the corona, solar coronal twin jets could be generated in the same fashion addressed above.","url":"https://arxiv.org/abs/1608.07759v1","authors":["Jiajia Liu","Fang Fang","Yuming Wang","Scott W. McIntosh","Yuhong Fan","Quanhao Zhang"],"tags":["astro-ph.SR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-08-28T02:55:48Z","doi":"","addedAt":"2026-09-01T06:00:30.559Z","updatedAt":"2026-09-01T06:00:30.559Z"},{"id":"arxiv:2212.14640v2","name":"Topological electronic structure of twin boundaries and twinning superlattices in the SnTe material class","source":"arxiv","abstract":"The topological electronic structure of a single twin boundary and coherent twinning superlattices (TSLs) based on the SnTe class of material is calculated and discussed within a supercell implementation. The superlattices consist of two twin planes (TPs) in the supercell arranged in such a way that each of the boundaries forms a mirror plane for the entire structure. Two types of TP boundary, cationic and anionic, can exist, and so three types of supercells can be constructed. We study the topological phases of each twinning configuration using the tight-binding approximation and calculating the topological invariants. We show that they differ by topological properties. We find that all-cationic TSLs are topologically distinct from the anionic case due to the opposite sign of the Berry curvature around the $ \\mathrm{ Γ} $ point of the TSLs Brillouin Zone. Our findings are consistent with a complementary analysis of (111)-oriented slabs with a single twin boundary in the presence of the Zeeman field. They are also consistent with the number of spin-polarized Dirac-like edge states of both superlattices and slabs. We conclude that each type of TP forms the 2D mirror-plane-protected topological crystalline insulator.","url":"https://arxiv.org/abs/2212.14640v2","authors":["Saeed Samadi","Rafał Rechciński","Ryszard Buczko"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-12-30T11:32:55Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2606.14114v2","name":"Digital Twin-Based Channel Generation Toolchain and Foundation Model for Low-Altitude XL-MIMO","source":"arxiv","abstract":"The rapid development of the low-altitude economy (LAE) has created growing demand for reliable aerial communication systems. Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising enabler for such systems due to its high spatial resolution and robust connectivity. However, three-dimensional (3D) mobility together with near-field propagation makes it difficult to obtain dedicated high-fidelity wireless datasets, hindering systematic algorithm development and evaluation. To address this issue, we develop LAETwin-XL, a digital twin (DT)-based toolchain and dataset for XL-MIMO research in LAE scenarios. Built on the Sionna ray-tracing (RT) module, the proposed toolchain simulates near-field and far-field channels with diverse wireless labels for practical environments. Building on this dataset, we further develop a conditional denoising diffusion implicit model (CDDIM)-based generative foundation model that is pretrained to learn transferable XL-MIMO channel representations from incomplete channel observations. Unlike conventional task-specific or foundation models that rely on relatively complete channel inputs, the proposed model can generatively infer informative channel representations from partially observed channels. Experimental results demonstrate that the proposed framework achieves effective zero-shot channel extrapolation performance. Furthermore, using lightweight task heads and limited training data, it enables parameter-efficient transfer to various downstream tasks (e.g., channel estimation, classification, and localization), delivering high accuracy and robustness even under sparse antenna observations. The codes and dataset are available at https://github.com/Lmyxxn/LAETwin-XL.","url":"https://arxiv.org/abs/2606.14114v2","authors":["Mengyuan Li","Yu Han","Jiachen Tian","Chao-Kai Wen","Shi Jin"],"tags":["eess.SP"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-06-12T04:53:11Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2405.03901v1","name":"OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs","source":"arxiv","abstract":"The progression to \"Pervasive Augmented Reality\" envisions easy access to multimodal information continuously. However, in many everyday scenarios, users are occupied physically, cognitively or socially. This may increase the friction to act upon the multimodal information that users encounter in the world. To reduce such friction, future interactive interfaces should intelligently provide quick access to digital actions based on users' context. To explore the range of possible digital actions, we conducted a diary study that required participants to capture and share the media that they intended to perform actions on (e.g., images or audio), along with their desired actions and other contextual information. Using this data, we generated a holistic design space of digital follow-up actions that could be performed in response to different types of multimodal sensory inputs. We then designed OmniActions, a pipeline powered by large language models (LLMs) that processes multimodal sensory inputs and predicts follow-up actions on the target information grounded in the derived design space. Using the empirical data collected in the diary study, we performed quantitative evaluations on three variations of LLM techniques (intent classification, in-context learning and finetuning) and identified the most effective technique for our task. Additionally, as an instantiation of the pipeline, we developed an interactive prototype and reported preliminary user feedback about how people perceive and react to the action predictions and its errors.","url":"https://arxiv.org/abs/2405.03901v1","authors":["Jiahao Nick Li","Yan Xu","Tovi Grossman","Stephanie Santosa","Michelle Li"],"tags":["cs.HC","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-06T23:11:00Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2410.07611v2","name":"Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks","source":"arxiv","abstract":"Optimization of user association in a densely deployed cellular network is usually challenging and even more complicated due to the dynamic nature of user mobility and fluctuation in user counts. While deep reinforcement learning (DRL) emerges as a promising solution, its application in practice is hindered by high trial-and-error costs in real world and unsatisfactory physical network performance during training. Also, existing DRL-based user association methods are typically applicable to scenarios with a fixed number of users due to convergence and compatibility challenges. To address these limitations, we introduce a large vision model (LVM)-enhanced digital twin (DT) for wireless networks and propose a parallel DT-driven DRL method for user association and load balancing in networks with dynamic user counts, distribution, and mobility patterns. To construct this LVM-enhanced DT for DRL training, we develop a zero-shot generative user mobility model, named Map2Traj, based on the diffusion model. Map2Traj estimates user trajectory patterns and spatial distributions solely from street maps. DRL models undergo training in the DT environment, avoiding direct interactions with physical networks. To enhance the generalization ability of DRL models for dynamic scenarios, a parallel DT framework is further established to alleviate strong correlation and non-stationarity in single-environment training and improve training efficiency. Numerical results show that the developed LVM-enhanced DT achieves closely comparable training efficacy to the real environment, and the proposed parallel DT framework even outperforms the single real-world environment in DRL training with nearly 20\\% gain in terms of cell-edge user performance.","url":"https://arxiv.org/abs/2410.07611v2","authors":["Zhenyu Tao","Wei Xu","Xiaohu You"],"tags":["cs.LG","eess.SY"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-10T04:54:48Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2311.17317v1","name":"Digital Twins for Logistics and Supply Chain Systems: Literature Review, Conceptual Framework, Research Potential, and Practical Challenges","source":"arxiv","abstract":"To facilitate an effective, efficient, transparent, and timely decision-making process as well as to provide guidelines for industry planning and public policy development, a conceptual framework of digital twins (DTs) for logistics and supply chain systems (LSCS) is needed. This paper first introduces the background of the logistics and supply chain industry, the DT and its potential benefits, and the motivations and scope of this research. The literature review indicates research and practice gaps and needs that motivate proposing a new conceptual DT framework for LSCS. As each element of the new framework has different requirements and goals, it initiates new research opportunities and creates practical implementation challenges. As such, the future of DT computation involves advanced analytics and modeling techniques to address the new agenda's requirements. Finally, ideas on the next steps to deploy a transparent, trustworthy, and resilient DT for LSCS are presented.","url":"https://arxiv.org/abs/2311.17317v1","authors":["Tho V. Le","Ruoling Fan"],"tags":["cs.SE"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-11-29T02:15:16Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2405.05910v1","name":"Expanding Accessibility in Immersive Virtual Spaces: A Comprehensive Approach for All Disabilities","source":"arxiv","abstract":"In the early stages of the COVID-19 pandemic, many events and conferences hastily converted to a virtual format, and many commercial ventures promptly developed tools promising seamless transitions to virtual spaces. In particular, efforts to expand and monetize augmented and virtual reality environments increased. While these spaces increased accessibility for some, others were left behind. In 2024, many events returned to on-site venues, yet virtual spaces remain central in academic and research communities, particularly for disabled scholars. As such, in this paper, we advocate for continued virtual access and improved virtual spaces; we also identify some potentially overlooked harms in immersive and embodied virtual spaces.","url":"https://arxiv.org/abs/2405.05910v1","authors":["Cecilia Aragon","Melissa Vosen Callens","Stacy M. Branham","Cali Anicha","Brianna Blaser","Canan Bilen-Green"],"tags":["cs.HC"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-04-23T17:50:11Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2510.20753v4","name":"Building Network Digital Twins Part II: Real-Time Adaptive PID for Enhanced State Synchronization","source":"arxiv","abstract":"As we evolve towards more heterogeneous and cutting-edge mobile networks, Network Digital Twins (NDTs) are proving to be a promising paradigm in solving challenges faced by network operators, as they give a possibility of replicating the physical network operations and testing scenarios separately without interfering with the live network. However, with mobile networks becoming increasingly dynamic and heterogeneous due to massive device connectivity, replicating traffic and having NDTs synchronized in real-time with the physical network remains a challenge, thus necessitating the need to develop real-time adaptive mechanisms to bridge this gap. In this part II of our work, we implement a novel framework that integrates an adaptive Proportional-Integral-Derivative (PID) controller to dynamically improve synchronization. Additionally, through an interactive user interface, results of our enhanced approach demonstrate an improvement in real-time traffic synchronization.","url":"https://arxiv.org/abs/2510.20753v4","authors":["John Sengendo","Fabrizio Granelli"],"tags":["cs.ET"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-10-23T17:20:02Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2512.19280v1","name":"Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals","source":"arxiv","abstract":"Axial piston pumps are crucial components in fluid power systems, where reliable fault diagnosis is essential for ensuring operational safety and efficiency. Traditional data-driven methods require extensive labeled fault data, which is often impractical to obtain, while model-based approaches suffer from parameter uncertainties. This paper proposes a digital twin (DT)-driven zero-shot fault diagnosis framework utilizing fluid-borne noise (FBN) signals. The framework calibrates a high-fidelity DT model using only healthy-state data, generates synthetic fault signals for training deep learning classifiers, and employs a physics-informed neural network (PINN) as a virtual sensor for flow ripple estimation. Gradient-weighted class activation mapping (Grad-CAM) is integrated to visualize the decision-making process of neural networks, revealing that large kernels matching the subsequence length in time-domain inputs and small kernels in time-frequency domain inputs enable higher diagnostic accuracy by focusing on physically meaningful features. Experimental validations demonstrate that training on signals from the calibrated DT model yields diagnostic accuracies exceeding 95\\% on real-world benchmarks, while uncalibrated models result in significantly lower performance, highlighting the framework's effectiveness in data-scarce scenarios.","url":"https://arxiv.org/abs/2512.19280v1","authors":["Chang Dong","Jianfeng Tao","Chengliang Liu"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-12-22T11:24:42Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0101014v1","name":"The twin paradox in compact spaces","source":"arxiv","abstract":"Twins travelling at constant relative velocity will each see the other's time dilate leading to the apparent paradox that each twin believes the other ages more slowly. In a finite space, the twins can both be on inertial, periodic orbits so that they have the opportunity to compare their ages when their paths cross. As we show, they will agree on their respective ages and avoid the paradox. The resolution relies on the selection of a preferred frame singled out by the topology of the space.","url":"https://arxiv.org/abs/gr-qc/0101014v1","authors":["John D. Barrow","Janna Levin"],"tags":["gr-qc","astro-ph","math-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2001-01-02T18:58:10Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0901.2979v3","name":"Twin TQFTs and Frobenius algebras","source":"arxiv","abstract":"We introduce the category of singular 2-dimensional cobordisms and show that it admits a completely algebraic description as the free symmetric monoidal category on a twin Frobenius algebra, by providing a description of this category in terms of generators and relations. A twin Frobenius algebra (C, W, z, z^*) consists of a commutative Frobenius algebra C, a symmetric Frobenius algebra W, and an algebra homomorphism z: C - &gt; W with dual z^*: W -&gt; C, satisfying some extra conditions. We also introduce a generalized 2-dimensional Topological Quantum Field Theory defined on singular 2-dimensional cobordisms and show that it is equivalent to a twin Frobenius algebra in a symmetric monoidal category.","url":"https://arxiv.org/abs/0901.2979v3","authors":["Carmen Caprau"],"tags":["math.GT"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2009-01-20T04:39:22Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1506.04625v6","name":"Twin Lagrangian fibrations in mirror symmetry","source":"arxiv","abstract":"A twin Lagrangian fibration, originally introduced by Yau and the first author, is roughly a geometric structure consisting of two Lagrangian fibrations whose fibers intersect with each other cleanly. In this paper, we show the existence of twin Lagrangian fibrations on certain symplectic manifolds whose mirrors are fibered by rigid analytic cycles. Using family Floer theory in the sense of Fukaya and Abouzaid, these twin Lagrangian fibrations are shown to be induced from fibrations by rigid analytic subvarieties on the mirror. As additional evidences, we discuss two simple applications of our constructions.","url":"https://arxiv.org/abs/1506.04625v6","authors":["Naichung Conan Leung","Yin Li"],"tags":["math.SG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2015-06-15T15:03:31Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2504.19564v1","name":"Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach","source":"arxiv","abstract":"Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and accommodate dynamic services, the DT must dynamically update in sync with deployed optical networks throughout their lifecycle, ensuring low-margin operation. This paper proposes a dynamic-updating DT for the lifecycle management of optical networks, employing a hybrid approach that integrates data-driven and physics-informed techniques for fiber channel modeling. This integration ensures both rapid calculation speed and high physics consistency in optical performance prediction while enabling the dynamic updating of critical physical parameters for DT. The lifecycle management of optical networks, covering accurate performance prediction at the network deployment and dynamic updating during network operation, is demonstrated through simulation in a large-scale network. Up to 100 times speedup in prediction is observed compared to classical numerical methods. In addition, the fiber Raman gain strength, amplifier frequency-dependent gain profile, and connector loss between fiber and amplifier on C and L bands can be simultaneously updated. Moreover, the dynamic-updating DT is verified on a field-trial C+L-band transmission link, achieving a maximum accuracy improvement of 1.4 dB for performance estimation post-device replacement. Overall, the dynamic-updating DT holds promise for driving the next-generation optical networks towards lifecycle autonomous management.","url":"https://arxiv.org/abs/2504.19564v1","authors":["Yuchen Song","Min Zhang","Yao Zhang","Yan Shi","Shikui Shen","Xiongyan Tang","Shanguo Huang","Danshi Wang"],"tags":["physics.optics","cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-04-28T08:17:56Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2409.19486v1","name":"State-of-the-art of Strangeness in Quark Matter Theory 2024","source":"arxiv","abstract":"I discuss the theoretical developments in related to Strangeness in Quark Matter (SQM) leading up to the SQM2024 conference. These advances include mapping out the Quantum Chromodynamics phase diagram; puzzles that exist in hadron physics from light to heavy particles; and advanced in relativistic hydrodynamics with the inclusion of spin and magnetic fields.","url":"https://arxiv.org/abs/2409.19486v1","authors":["Jacquelyn Noronha-Hostler"],"tags":["nucl-th","astro-ph.HE","hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-09-28T23:47:13Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0911.1288v1","name":"What is instrumentality in new digital msuical devices ? A contribution from cognitive linguistics and psychology","source":"arxiv","abstract":"As far as music is concerned, instruments have always been part of a cultural ?landscape? (on technical, expressive and symbolic levels). The present contribution explores the changes brought about by the shift that occurred during the 20th century, from mechanical to digital instruments (also named ?virtual instruments?). First and foremost, a short recall of some historical steps of the technological developments that have renewed our relationship to sound, music, and instruments will be presented. Second, an analysis of different discourses and terminologies presently used in the domains of musicology and computer music will account for the evolution of the notion of instrumentality.","url":"https://arxiv.org/abs/0911.1288v1","authors":["Caroline Cance","Hugues Genevois","Danièle Dubois"],"tags":["cs.HC"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2009-11-06T16:06:40Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2405.14442v1","name":"Fully parallel implementation of digital memcomputing on FPGA","source":"arxiv","abstract":"We present a fully parallel digital memcomputing solver implemented on a field-programmable gate array (FPGA) board. For this purpose, we have designed an FPGA code that solves the ordinary differential equations associated with digital memcomputing in parallel. A feature of the code is the use of only integer-type variables and integer constants to enhance optimization. Consequently, each integration step in our solver is executed in 96~ns. This method was utilized for difficult instances of the Boolean satisfiability (SAT) problem close to a phase transition, involving up to about 150 variables. Our results demonstrate that the parallel implementation reduces the scaling exponent by about 1 compared to a sequential C++ code on a standard computer. Additionally, compared to C++ code, we observed a time-to-solution advantage of about three orders of magnitude. Given the limitations of FPGA resources, the current implementation of digital memcomputing will be especially useful for solving compact but challenging problems.","url":"https://arxiv.org/abs/2405.14442v1","authors":["Dyk Chung Nguyen","Yuriy V. Pershin"],"tags":["cs.ET","nlin.CD"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-23T11:21:12Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2003.01320v1","name":"Flavorful Two Higgs Doublet Model with a Twin","source":"arxiv","abstract":"A two Higgs doublet model with flavorful Yukawa structure, in which the two doublets give mass to the third and the first two generations respectively, is combined with the twin Higgs mechanism to stabilize the Higgs mass against radiative corrections. We consider both a mirror twin and fraternal twin setup. We identify Higgs signal strength measurements and the decay $B_s \\to μμ$ as the most important indirect constraints on the parameter space of the model. We explore the collider phenomenology of the model and find that the heavy Higgs in the visible sector can give a sizable number of displaced decays into $b$-jets in regions of parameter space where the SM-like Higgs and the twin Higgs do not provide any striking signatures.","url":"https://arxiv.org/abs/2003.01320v1","authors":["Wolfgang Altmannshofer","Brian Maddock"],"tags":["hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2020-03-03T03:54:13Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2406.13117v1","name":"State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance","source":"arxiv","abstract":"In recent years, predictive maintenance (PMx) has gained prominence for its potential to enhance efficiency, automation, accuracy, and cost-effectiveness while reducing human involvement. Importantly, PMx has evolved in tandem with digital advancements, such as Big Data and the Internet of Things (IOT). These technological strides have enabled Artificial Intelligence (AI) to revolutionize PMx processes, with increasing capacities for real-time automation of monitoring, analysis, and prediction tasks. However, PMx still faces challenges such as poor explainability and sample inefficiency in data-driven methods and high complexity in physics-based models, hindering broader adoption. This paper posits that Digital Twins (DTs) can be integrated into PMx to overcome these challenges, paving the way for more automated PMx applications across various stakeholders. Despite their potential, current DTs have not fully matured to bridge existing gaps. Our paper provides a comprehensive roadmap for DT evolution, addressing current limitations to foster large-scale automated PMx progression. We structure our approach in three stages: First, we reference prior work where we identified and defined the Information Requirements (IRs) and Functional Requirements (FRs) for PMx, forming the blueprint for a unified framework. Second, we conduct a literature review to assess current DT applications integrating these IRs and FRs, revealing standardized DT models and tools that support automated PMx. Lastly, we highlight gaps in current DT implementations, particularly those IRs and FRs not fully supported, and outline the necessary components for a comprehensive, automated PMx system. Our paper concludes with research directions aimed at seamlessly integrating DTs into the PMx paradigm to achieve this ambitious vision.","url":"https://arxiv.org/abs/2406.13117v1","authors":["Sizhe Ma","Katherine A. Flanigan","Mario Bergés"],"tags":["cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-06-19T00:10:57Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2606.01324v1","name":"Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks","source":"arxiv","abstract":"The evolution toward 6G wireless networks envisions a seamlessly intelligent, Open-RAN-enabled architecture where unmanned aerial vehicles (UAVs) play a pivotal role in extending coverage, enhancing resilience, and ensuring reliable connectivity for ground users deployment. However, efficiently managing spectrum and resources in such highly dynamic UAV-assisted environments remains a major challenge due to nonlinear system interactions, mobility-induced topology variations, and stringent latency and energy constraints. To address these challenges, we propose a digital twin (DT)-assisted adaptive deep reinforcement learning (DRL) framework that enables intelligent spectrum sharing and resource allocation across distributed ground users. The complex optimization problem is decomposed into UAV trajectory optimization using particle swarm optimization (PSO) and dynamic spectrum-power-association management via multi-agent DRL (MADRL). This hybrid DT-driven approach empowers intelligent, context-aware decision-making and adaptive coordination among UAVs. Extensive simulations demonstrate significant gains in spectral efficiency, data rates, and energy utilization, showcasing a transformative path toward self-evolving, autonomous 6G UAV and ground users (GUs) connectivity.","url":"https://arxiv.org/abs/2606.01324v1","authors":["Marwan Dhuheir","Thang X. Vu","Symeon Chatzinotas"],"tags":["cs.IT","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-05-31T16:19:28Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1403.1180v2","name":"A distributed Integrity Catalog for digital repositories","source":"arxiv","abstract":"Digital repositories, either digital preservation systems or archival systems, periodically check the integrity of stored objects to assure users of their correctness. To do so, prior solutions calculate integrity metadata and require the repository to store it alongside the actual data objects. This integrity metadata is essential for regularly verifying the correctness of the stored data objects. To safeguard and detect damage to this metadata, prior solutions rely on widely visible media, that is unaffiliated third parties, to store and provide back digests of the metadata to verify it is intact. However, they do not address recovery of the integrity metadata in case of damage or attack by an adversary. In essence, they do not preserve this metadata. We introduce IntegrityCatalog, a system that collects all integrity related metadata in a single component, and treats them as first class objects, managing both their integrity and their preservation. We introduce a treap-based persistent authenticated dictionary managing arbitrary length key/value pairs, which we use to store all integrity metadata, accessible simply by object name. Additionally, IntegrityCatalog is a distributed system that includes a network protocol that manages both corruption detection and preservation of this metadata, using administrator-selected network peers with two possible roles. Verifiers store and offer attestations on digests and have minimal storage requirements, while preservers efficiently synchronize a complete copy of the catalog to assist in recovery in case of a detected catalog compromise on the local system. We describe our prototype implementation of IntegrityCatalog, measure its performance empirically, and demonstrate its effectiveness in real-world situations, with worst measured throughput of approximately 1K insertions per second, and 2K verified search operations per second.","url":"https://arxiv.org/abs/1403.1180v2","authors":["Nikos Chondros","Mema Roussopoulos"],"tags":["cs.DB","cs.DC","cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2014-02-04T17:52:22Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1301.7053v1","name":"Delayed Twin Observables Are They a Fundamental Concept in Quantum Mechanics?","source":"arxiv","abstract":"Opposite-subsystem twin events and twin observables, studied previously in the context of distant correlations, are first generalized to pure states of not-necessarily-composite systems, and afterwards they are further generalized to delayed twins that are due to unitary evolution of the quantum system. The versatile aspects of delayed twin observables are studied in terms of necessary and sufficient conditions to make possible various applications. Three of these are sketched: Preparation of some quantum experiments, easy solution of a puzzle in an important Scully et al. real experiment, and, finally, it is shown that exact measurement in quantum mechanics is an example of opposite-subsystem delayed twins in bipartite pure states.","url":"https://arxiv.org/abs/1301.7053v1","authors":["Fedor Herbut"],"tags":["quant-ph","math-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2013-01-29T20:43:13Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1611.05575v1","name":"Deformation behaviour of body centered cubic iron nanopillars containing coherent twin boundaries","source":"arxiv","abstract":"Molecular dynamics simulations were performed to understand the role of twin boundaries on deformation behaviour of body-centred cubic (BCC) iron (Fe) nanopillars. The twin boundaries varying from one to five providing twin boundary spacing in the range 8.5 - 2.8 nm were introduced perpendicular to the loading direction. The simulation results indicated that the twin boundaries in BCC Fe play a contrasting role during deformation under tensile and compressive loadings. During tensile deformation, a large reduction in yield stress was observed in twinned nanopillars compared to perfect nanopillar. However, the yield stress exhibited only marginal variation with respect to twin boundary spacing. On the contrary, a decrease in yield stress with increase in twin boundary spacing was obtained during compressive deformation. This contrasting behaviour originates from difference in operating mechanisms during yielding and subsequent plastic deformation. It has been observed that the deformation under tensile loading was dominated mainly by twin growth mechanism, due to which the twin boundaries offers a negligible resistance to slip of twinning partials. This is reflected in the negligible variation of yield stress as a function of twin boundary spacing. On the other hand, the deformation was dominated by nucleation and slip of full dislocations under compressive loading. The twin boundaries offer a strong repulsive force on full dislocations resulting in the yield stress dependence on twin boundary spacing. Further, it has been observed that the curved twin boundary can acts as a source for full dislocation. The occurrence of twin-twin interaction during tensile deformation and dislocation-twin interaction during compressive deformation were presented and discussed.","url":"https://arxiv.org/abs/1611.05575v1","authors":["G. Sainath","B. K. Choudhary"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2016-11-17T05:48:19Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1404.2305v1","name":"Twin relationships in Parsimonious Games: some results","source":"arxiv","abstract":"In a vintage paper concerning Parsimonious games, a subset of constant sum homogeneous weighted majority games, Isbell introduced a twin relationship based on transposition properties of the incidence matrices upon minimal winning coalitions of such games. A careful investigation of such properties allowed the discovery of some results on twin games presented in this paper. In detail we show that a) twin games have the same minimal winning quota and b) each Parsimonious game admits a unique balanced lottery on minimal winning coalitions, whose probabilities are given by the individual weights of its twin game.","url":"https://arxiv.org/abs/1404.2305v1","authors":["Flavio Pressacco","Giacomo Plazzotta","Laura Ziani"],"tags":["math.OC","cs.GT"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2014-02-20T19:01:28Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2006.15242v4","name":"Embracing the chaos: Alloying adds stochasticity to twin embryo growth","source":"arxiv","abstract":"High-throughput atomistic simulations reveal the unique effect of solute atoms on twin variant selection in Mg-Al alloys. Twin embryos first undergo a stochastic incubation stage when embryos choose which twin variant to adopt, and then a deterministic growth stage when embryos expand without changing the selected twin variant. An increase in Al composition promotes the stochastic incubation behavior on the atomic level due to nucleation and pinning of interfacial disconnections. At compositions above a critical value, disconnection pinning results in multiple twin variant selection.","url":"https://arxiv.org/abs/2006.15242v4","authors":["Yang Hu","Vladyslav Turlo","Irene J. Beyerlein","Subhash Mahajan","Enrique J. Lavernia","Julie M. Schoenung","Timothy J. Rupert"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2020-06-27T00:24:02Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2302.13713v1","name":"A notion of twins","source":"arxiv","abstract":"Given a combinatorial structure, a ``twin'' is a pair of disjoint substructures which are isomorphic (or look the same in some sense). In recent years, there have been many problems about finding large twins in various combinatorial structures. For example, given a graph $G$, one can ask what is the largest $s$ such that there exist disjoint subsets $I,J\\subset V(G)$ on $s$ vertices, such that the induced subgraphs $G[I],G[J]$ are isomorphic. We are motivated by two different problems of finding twins in two kinds of ordered objects (strings and permutations). We introduce a new variant of ``twin problem'' which generalizes both of these. By considering this generalization, we are able to improve some bounds obtained by Dudek, Grytczuk, and Ruciński, and give a negative answer to a conjecture of theirs.","url":"https://arxiv.org/abs/2302.13713v1","authors":["Zach Hunter"],"tags":["math.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-02-27T12:21:19Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0905.2428v1","name":"Adding to the paradox: the accelerated twin is older","source":"arxiv","abstract":"We discuss a rather surprising version of the twin paradox in which (contrary to the familiar classical version) the twin who accelerates is older on the reunion than his never accelerating brother.","url":"https://arxiv.org/abs/0905.2428v1","authors":["M. A. Abramowicz","S. Bajtlik"],"tags":["physics.class-ph","gr-qc"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2009-05-14T21:09:06Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2410.04726v1","name":"The Solar Neighborhood LII: M Dwarf Twin Binaries -- Presumed Identical Twins Appear Fraternal in Variability, Rotation, H$α$, and X-rays","source":"arxiv","abstract":"We present an investigation into the rotation and stellar activity of four fully convective M dwarf `twin' wide binaries. Components in each pair have (1) astrometry confirming they are common-proper-motion binaries, (2) Gaia $BP$, $RP$, and 2MASS $J$, $H$, and $K_s$ magnitudes matching within 0.10 mag, and (3) presumably the same age and composition. We report long-term photometry, rotation periods, multi-epoch H$α$ equivalent widths, X-ray luminosities, time series radial velocities, and speckle observations for all components. Although it might be expected for the twin components to have matching magnetic attributes, this is not the case. Decade-long photometry of GJ 1183 AB indicates consistently higher spot activity on A than B, a trend matched by A appearing 58$\\pm$9% stronger in $L_X$ and 26$\\pm$9% stronger in H$α$ on average -- this is despite similar rotation periods of A=0.86d and B=0.68d, thereby informing the range in activity for otherwise identical and similarly-rotating M dwarfs. The young $β$ Pic Moving Group member 2MA 0201+0117 AB displays a consistently more active B component that is 3.6$\\pm$0.5 times stronger in $L_X$ and 52$\\pm$19% stronger in H$α$ on average, with distinct rotation at A=6.01d and B=3.30d. Finally, NLTT 44989 AB displays remarkable differences with implications for spindown evolution -- B has sustained H$α$ emission while A shows absorption, and B is $\\geq$39$\\pm$4 times stronger in $L_X$, presumably stemming from the surprisingly different rotation periods of A=38d and B=6.55d. The last system, KX Com, has an unresolved radial velocity companion, and is therefore not a twin system.","url":"https://arxiv.org/abs/2410.04726v1","authors":["Andrew A. Couperus","Todd J. Henry","Rachel A. Osten","Wei-Chun Jao","Eliot Halley Vrijmoet","Aman Kar","Elliott Horch"],"tags":["astro-ph.SR","astro-ph.EP","astro-ph.GA"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-07T03:34:51Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2111.12241v2","name":"Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare","source":"arxiv","abstract":"Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart medical devices and applications used in smart hospitals, smart-home based care, and nursing homes. It utilizes smart medical devices and cloud computing services along with core Internet of Things (IoT) technologies to sense patients' vital body parameters, monitor health conditions and generate multivariate data to support just-in-time health services. Mostly, this large amount of data is analyzed in centralized servers. Anomaly Detection (AD) in a centralized healthcare ecosystem is often plagued by significant delays in response time with high performance overhead. Moreover, there are inherent privacy issues associated with sending patients' personal health data to a centralized server, which may also introduce several security threats to the AD model, such as possibility of data poisoning. To overcome these issues with centralized AD models, here we propose a Federated Learning (FL) based AD model which utilizes edge cloudlets to run AD models locally without sharing patients' data. Since existing FL approaches perform aggregation on a single server which restricts the scope of FL, in this paper, we introduce a hierarchical FL that allows aggregation at different levels enabling multi-party collaboration. We introduce a novel disease-based grouping mechanism where different AD models are grouped based on specific types of diseases. Furthermore, we develop a new Federated Time Distributed (FedTimeDis) Long Short-Term Memory (LSTM) approach to train the AD model. We present a Remote Patient Monitoring (RPM) use case to demonstrate our model, and illustrate a proof-of-concept implementation using Digital Twin (DT) and edge cloudlets.","url":"https://arxiv.org/abs/2111.12241v2","authors":["Deepti Gupta","Olumide Kayode","Smriti Bhatt","Maanak Gupta","Ali Saman Tosun"],"tags":["cs.CR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2021-11-24T03:09:50Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2605.05255v1","name":"Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework","source":"arxiv","abstract":"Droughts and flash droughts (rapidly developing droughts; FDs) remain impactful events that are known to desiccate landscape and destroy crops. In particular, droughts in Africa are often more impactful than in other locations, such as the United States or Europe, due to many regions in Africa heavily depending on local agriculture for sustenance. In recent years, large machine learning (ML) models, such as GraphCast and AIFS, have emerged as effective tools for global weather prediction. However, sparse data observations and few ML studies in Africa have left it unclear if these ML models retain their skill when focused on Africa. As such, this project seeks to examine the predictability of drought and FD in Africa using a CrossFormer model based on the Community Research Earth Digital Intelligence Twin (CREDIT) framework developed by NSF NCAR. Our CrossFormer model, termed DroughtFormer, incorporates variables from the ERA5 and GLDAS2 reanalyses and the IMERG and MODIS satellite observations, and employs dry air mass and moisture conservation, to predict soil moisture, vegetation health, and other drought-related surface variables. While DroughtFormer displayed lower accuracy in predicting precipitation and FD indices, it showed significant skill in predicting the remaining variables, delivering stable and skillful forecasts out to 90-day lead times (either beating out or having comparable skill to climatology). In particular, DroughtFormer skillfully represented climate anomalies for key variables, such as soil moisture (though it struggled with the magnitude of the anomalies). Thus, DroughtFormer showed significant promise in representing and predicting agricultural level drought in a region that is heavily impacted by drought events.","url":"https://arxiv.org/abs/2605.05255v1","authors":["Stuart Edris","Amy McGovern","Jason Hickey"],"tags":["stat.AP","physics.ao-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-05-05T23:52:32Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1005.1899v1","name":"The ABC of Digital Business Ecosystems","source":"arxiv","abstract":"The European Commission has the power to inspire, initiate and sponsor huge transnational projects to an extent impossible for most other entities. These projects can address universal themes and develop well-being models that are valuable across a diversity of societies and economies. It is a universal fact that SMEs in all countries provide a substantial proportion of total employment, and conduct much of a nation's innovative activity. Yet these smaller companies struggle in global markets on a far from level playing field, where large companies have distinct advantages. To redress this imbalance the Commission saw it as a priority to improve the trading capability of the Small and Medium-sized Enterprises (SMEs), and perceived digital platforms as the modern means to this end. They considered that the best operational model for a vibrant Web2.0-based Internet services industry would be by analogy to well-performing biological ecosystems. Open Source Software is adopted in the DBE/OPAALS projects as the best support for sustainability of such complex electronic webs, since it minimises interoperability problems, enables code access for cheaper in-house modification or development of systems, and reduces both capital and operating expenditure.","url":"https://arxiv.org/abs/1005.1899v1","authors":["Jo Stanley","Gerard Briscoe"],"tags":["cs.CY"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2010-05-11T18:04:44Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:9608141v1","name":"Macroscopic Symmetry Group Describes Josephson Tunneling in Twinned Crystals","source":"arxiv","abstract":"A macroscopic symmetry group describing the superconducting state of an orthorhombically twinned crystal of YBCO is introduced. This macroscopic symmetry group is different for different symmetries of twin boundaries. Josephson tunneling experiments performed on twinned crystals of YBCO determine this macroscopic symmetry group and hence determine the twin boundary symmetry (but do not experimentally determine whether the microscopic order parameter is primarily d- or s-wave). A consequence of the odd-symmetry twin boundaries in YBCO is the stability of vortices containing one half an elementary flux quantum at the intersection of a twin boundary and certain grain boundaries.","url":"https://arxiv.org/abs/cond-mat/9608141v1","authors":["M. B. Walker","J. Luettmer-Strathmann"],"tags":["cond-mat"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"1996-08-28T14:19:00Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1910.14674v1","name":"On the Twin Prime Conjecture","source":"arxiv","abstract":"We discuss various recent advances on weak forms of the Twin Prime Conjecture.","url":"https://arxiv.org/abs/1910.14674v1","authors":["James Maynard"],"tags":["math.NT"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2019-10-29T16:57:55Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2404.16476v1","name":"A Novel Channel Coding Scheme for Digital Multiple Access Computing","source":"arxiv","abstract":"In this paper, we consider the ChannelComp framework, which facilitates the computation of desired functions by multiple transmitters over a common receiver using digital modulations across a multiple access channel. While ChannelComp currently offers a broad framework for computation by designing digital constellations for over-the-air computation and employing symbol-level encoding, encoding the repeated transmissions of the same symbol and using the corresponding received sequence may significantly improve the computation performance and reduce the encoding complexity. In this paper, we propose an enhancement involving the encoding of the repetitive transmission of the same symbol at each transmitter over multiple time slots and the design of constellation diagrams, with the aim of minimizing computational errors. We frame this enhancement as an optimization problem, which jointly identifies the constellation diagram and the channel code for repetition, which we call ReChCompCode. To manage the computational complexity of the optimization, we divide it into two tractable subproblems. Through numerical experiments, we evaluate the performance of ReChCompCode. The simulation results reveal that ReChCompCode can reduce the computation error by approximately up to 30 dB compared to standard ChannelComp, particularly for product functions.","url":"https://arxiv.org/abs/2404.16476v1","authors":["Xiaojing Yan","Saeed Razavikia","Carlo Fischione"],"tags":["eess.SP"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-04-25T10:00:16Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2406.15725v2","name":"Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding Boxes","source":"arxiv","abstract":"To tackle sound event detection (SED), we propose frequency dependent networks (FreDNets), which heavily leverage frequency-dependent methods. We apply frequency warping and FilterAugment, which are frequency-dependent data augmentation methods. The model architecture consists of 3 branches: audio teacher-student transformer (ATST) branch, BEATs branch and CNN branch including either partial dilated frequency dynamic convolution (PDFD conv) or squeeze-and-Excitation (SE) with time-frame frequency-wise SE (tfwSE). To train MAESTRO labels with coarse temporal resolution, we applied max pooling on prediction for the MAESTRO dataset. Using best ensemble model, we applied self training to obtain pseudo label from DESED weak set, unlabeled set and AudioSet. AudioSet pseudo labels, filtered to focus on high-confidence labels, are used to train on DESED dataset only. We used change-detection-based sound event bounding boxes (cSEBBs) as post processing for ensemble models on self training and submission models. The resulting FreDNet was ranked 2nd in DCASE 2024 Challenge Task 4.","url":"https://arxiv.org/abs/2406.15725v2","authors":["Hyeonuk Nam","Deokki Min","Seungdeok Choi","Inhan Choi","Yong-Hwa Park"],"tags":["eess.AS","cs.SD"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-06-22T04:07:55Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2409.14479v1","name":"Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model","source":"arxiv","abstract":"Magnetic Resonance Imaging (MRI) is a powerful, non-invasive diagnostic tool; however, its clinical applicability is constrained by prolonged acquisition times. Whilst present deep learning-based approaches have demonstrated potential in expediting MRI processes, these methods usually rely on known sampling patterns and exhibit limited generalisability to novel patterns. In the paper, we propose a sampling-pattern-agnostic MRI reconstruction method via a diffusion model through adaptive consistency enforcement. Our approach effectively reconstructs high-fidelity images with varied under-sampled acquisitions, generalising across contrasts and acceleration factors regardless of sampling trajectories. We train and validate across all contrasts in the MICCAI 2024 Cardiac MRI Reconstruction Challenge (CMRxRecon) dataset for the ``Random sampling CMR reconstruction'' task. Evaluation results indicate that our proposed method significantly outperforms baseline methods.","url":"https://arxiv.org/abs/2409.14479v1","authors":["Anurag Malyala","Zhenlin Zhang","Chengyan Wang","Chen Qin"],"tags":["eess.IV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-09-22T14:57:36Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1106.6050v1","name":"An equivalent problem to the Twin Prime Conjecture","source":"arxiv","abstract":"In this short paper we will show, via elementary arguments, the equivalence of the Twin Prime Conjecture to a problem which might be simpler to prove. Some conclusions are drawn, and it is shown that proving the Twin Prime Conjecture is equivalent to proving that there cannot be an infinite string of consecutive natural numbers satisfying some specified equations.","url":"https://arxiv.org/abs/1106.6050v1","authors":["F. Balestrieri"],"tags":["math.GM"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2011-05-21T08:39:21Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2509.12499v1","name":"Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks","source":"arxiv","abstract":"Digital Twin (DT) technology enables real-time monitoring and optimization of complex network infrastructures by creating accurate virtual replicas of physical systems. In millimeter-wave (mmWave) 5G/6G networks, the deployment of Integrated Access and Backhaul (IAB) nodes faces highly dynamic urban environments, necessitating intelligent DT-enabled optimization frameworks. Traditional IAB deployment optimization approaches struggle with the combinatorial complexity of jointly optimizing coverage, connectivity, and resilience, often leading to suboptimal solutions that are vulnerable to network disruptions. With this consideration, we propose a novel Graph Attention Network v2 (GATv2)-based reinforcement learning approach for resilient IAB deployment in urban mmWave networks. Specifically, we formulate the deployment problem as a Markov Decision Process (MDP) with explicit resilience constraints and employ edge-conditioned GATv2 to capture complex spatial dependencies between heterogeneous node types and dynamic connectivity patterns. The attention mechanism enables the model to focus on critical deployment locations to maximize coverage and ensure fault tolerance through redundant backhaul connections. To address the inherent vulnerability of mmWave links, we train the GATv2 policy using Proximal Policy Optimization (PPO) with a carefully designed balance between coverage, cost, and resilience. Comprehensive simulations across three urban scenarios demonstrate that our method achieves 98.5-98.7 percent coverage with 14.3-26.7 percent fewer nodes than baseline approaches, while maintaining 87.1 percent coverage retention under 30 percent link failures, representing 11.3-15.4 percent improvement in fault tolerance compared to state-of-the-art methods.","url":"https://arxiv.org/abs/2509.12499v1","authors":["Jie Zhang","Mostafa Rahmani Ghourtani","Swarna Bindu Chetty","Paul Daniel Mitchell","Hamed Ahmadi"],"tags":["cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-09-15T22:53:29Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2603.22753v1","name":"Digital Twin Enabled Simultaneous Learning and Modeling for UAV-assisted Secure Communications with Eavesdropping Attacks","source":"arxiv","abstract":"This paper focuses on secure communications in UAV-assisted wireless networks, which comprise multiple legitimate UAVs (LE-UAVs) and an intelligent eavesdropping UAV (EA-UAV). The intelligent EA-UAV can observe the LE-UAVs'transmission strategies and adaptively adjust its trajectory to maximize information interception. To counter this threat, we propose a mode-switching scheme that enables LE-UAVs to dynamically switch between the data transmission and jamming modes, thereby balancing data collection efficiency and communication security. However, acquiring full global network state information for LE-UAVs' decision-making incurs significant overhead, as the network state is highly dynamic and time-varying. To address this challenge, we propose a digital twin-enabled simultaneous learning and modeling (DT-SLAM) framework that allows LE-UAVs to learn policies efficiently within the DT, thereby avoiding frequent interactions with the real environment. To capture the competitive relationship between the EA-UAV and the LE-UAVs, we model their interactions as a multi-stage Stackelberg game and jointly optimize the GUs' transmission control, UAVs' trajectory planning, mode selection, and network formation to maximize overall secure throughput. Considering potential model mismatch between the DT and the real environment, we propose a robust proximal policy optimization (RPPO) algorithm that encourages LE-UAVs to explore service regions with higher uncertainty. Numerical results demonstrate that the proposed DT-SLAM framework effectively supports the learning process. Meanwhile, the RPPO algorithm converges about 12% faster and the secure throughput can be increased by 8.6% compared to benchmark methods.","url":"https://arxiv.org/abs/2603.22753v1","authors":["Jieting Yuan","Songhan Zhao","Ye Xue","Yu Zhao","Bo Gu","Shimin Gong"],"tags":["cs.NI","cs.CR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-03-24T03:31:08Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2602.24087v1","name":"Shaping the Digital Future of ErUM Research: Sustainability &amp; Ethics","source":"arxiv","abstract":"This workshop report from \"Shaping the Digital Future of ErUM Research: Sustainability &amp; Ethics\" (Aachen, 2025) reviews progress on sustainability measures in data-intensive ErUM-Data research since the 2023 call-to-action on resource-aware research. It evaluates short-, medium-, and long-term actions around monitoring and reducing CO2 emissions, improving data and software FAIRness, optimizing workflows and computing infrastructures, and aligning operations with low-carbon energy availability, including concepts such as \"breathing\" computing centers, long-term data storage strategies, and software efficiency certification. The report stresses the need for systematic teaching, training, mentoring, and new support formats to establish sustainable coding and computing practices, particularly among students and early-career researchers, and highlights the importance of dedicated steering and funding instruments to embed sustainability in project planning. Ethical discussions focus on the transformative use of AI in ErUM-Data, addressing autonomy, bias, transparency, explainability, attribution of responsibility, and the risk of deskilling, while reaffirming that accountability for scientific outcomes remains with human researchers. Finally, the report emphasizes that sustainable transformation requires not only technical measures but also targeted awareness-building, communication strategies, incentives, and community-driven initiatives to move from awareness to action and to integrate sustainability and ethics into everyday scientific practice.","url":"https://arxiv.org/abs/2602.24087v1","authors":["Luca Di Bella","Jan Bürger","Markus Demleitner","Torsten Enßlin","Johannes Erdmann","Martin Erdmann","Benjamin Fischer","Martin Gasthuber","Gabriele Gramelsberger","Wolfgang Gründinger","Prateek Gupta","Johannes Hartl","Maximilian Horzela","Vijay Kartik","Stefan Krischer","Eva Kröll","Thomas Kuhr","Katharina Kürschner","Inga Lakomiec","Valerie Lang","Kristin Lohwasser","Thomas Metcalf","Martin Möller","Saskia Nagel","Susanne Pfalzner","Rebecca Redlin","Christopher Schrader","Kathrin Schulz","Markus Schumacher","Kilian Schwarz","Fabian Sigler","Dwayne Spiteri","Achim Stahl","Judith Steinfeld","Wim Vanderbauwhede","Cyrus Walther","Angela Warkentin","Peter Wissmann","Eoin Woods"],"tags":["physics.comp-ph","astro-ph.IM","hep-ex","physics.soc-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2026-02-27T15:24:13Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2410.17011v5","name":"Nonparametric Estimation of Matching Efficiency and Elasticity on a Private On-the-Job Search Platform: Evidence from Japan, 2014-2024","source":"arxiv","abstract":"I analyze proprietary data from BizReach (2014-2024) to estimate the matching function for high-skill workers on a private on-the-job search platform using Lange and Papageorgiou (2020) nonparametric approach. Comparing it to Hello Work, I find that matching efficiency on the private platform is both more volatile and higher, reflecting its growing popularity. Matching elasticity with respect to users is around 0.75 , while for vacancies, it reaches 1.0 , suggesting a more balanced elasticity than Hello Work. The study also uncovers industry-level heterogeneity, highlighting differences in matching dynamics across sectors.","url":"https://arxiv.org/abs/2410.17011v5","authors":["Suguru Otani"],"tags":["econ.GN"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-22T13:32:38Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2405.15024v4","name":"The 18 May 2024 Iberian superbolide from a sunskirting orbit: USG space sensors and ground-based independent observations","source":"arxiv","abstract":"On 18 May 2024, a superbolide traversed the western part of the Iberian Peninsula, culminating its flight over the Atlantic Ocean and generating significant media attention. This event was caused by a weak carbonaceous meteoroid of 1 m, entering the atmosphere at 40.4 km$\\,$s$^{-1}$ with an average slope of 8.5$^\\circ$. The luminous phase started at 133 km and ended at an altitude of 54 km. The meteoroid's heliocentric orbit had an inclination of 16.4$^\\circ$, a high eccentricity of 0.952, a semi-major axis of 2.4 au, and a short perihelion distance of 0.12 au. The superbolide was recorded by multiple ground-based stations of the Spanish Meteor Network (SPMN) and the European Space Agency (ESA), as well as by the U.S. Government (USG) sensors from space. Due to the absence of observable deceleration, we successfully reconciled satellite radiometric data with a purely dynamic atmospheric flight model, constraining the meteoroid's mass and coherently fitting its velocity profile. Our analysis shows a good agreement with the radiant and velocity data reported by the Center for Near-Earth Object Studies (CNEOS), with a deviation of 0.56$^\\circ$ and 0.1 km$\\,$s$^{-1}$, respectively. The presence of detached fragments in the lower part of the luminous trajectory suggests that the meteoroid was a polymict carbonaceous chondrite, containing higher-strength macroscopic particles in its interior due to collisional gardening, or a thermally processed C-type asteroid. The orbital elements indicate that the most likely source is the Jupiter-Family Comet (JFC) region, aligning with the SOHO comet family, as its sunskirting orbit is decoupled from Jupiter. This event provides important information to characterize the disruption mechanism of near-Sun objects.","url":"https://arxiv.org/abs/2405.15024v4","authors":["Eloy Peña-Asensio","Pau Grèbol-Tomàs","Josep M. Trigo-Rodríguez","Pablo Ramírez-Moreta","Rainer Kresken"],"tags":["astro-ph.EP","astro-ph.IM","physics.pop-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-05-23T20:00:56Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2503.22967v1","name":"Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground Up","source":"arxiv","abstract":"Starting in February 2024, the HKUST Library further extended the scope of AI literacy to AI utilization, which focuses on fostering student involvement in utilizing state-of-the-art technologies in the projects that initiated by the Library, named \"Digital Scholarship (DS) CoLab\". A key focus of the DS CoLab scheme has been on cultivating talents and enabling students to utilize advanced technologies in practical context. It aims to reinforce the library's role as a catalyst and hub for fostering multidisciplinary collaboration and cultivate the \"can do spirit\" among university members. The Library offers 1-2 projects per year for students to engage with advanced technologies in practical contexts while supporting the Library in tackling challenges and streamlining operational tasks. The tool that introduced in this paper was mainly developed by two of the authors, Sherry Yip Sau Lai and Berry Han Liuruo, as part-time student helpers under one of our DS CoLab scheme in the 2024 Spring Semester (February to May 2024). This paper details the complete journey from ideation to implementation of developing a Chinese Named-Entity Recognition (NER) Tool from the group up within one semester, from the initial research and planning stages to execution and come up a viable product. The collaborative spirit fostered by this project, with students playing a central role, exemplifies the power and potential of innovative educational models that prioritize hands-on learning with student involvement.","url":"https://arxiv.org/abs/2503.22967v1","authors":["Sherry S. L. Yip","Berry L. Han","Holly H. Y. Chan"],"tags":["cs.DL","cs.AI","cs.CY","cs.HC"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-03-29T04:15:34Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1008.0174v1","name":"The Myth of the Twin Paradox","source":"arxiv","abstract":"One of the most discussed peculiarities of Einstein's theory of relativity is the twin paradox, the fact that the time between two events in space-time appears to depend on the path between these events. We show that this time discrepancy results only from faulty assumptions in the transition from one reference system to another. The twin paradox does not exist. But the Lorentz invariance of the theory has strong consequences, if we assume that it is valid not only locally, but also on cosmic scale.","url":"https://arxiv.org/abs/1008.0174v1","authors":["E. Fischer"],"tags":["physics.gen-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2010-08-01T13:34:06Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0707.3650v1","name":"A Little Twin Higgs Model","source":"arxiv","abstract":"We present a twin Higgs model based on left-right symmetry with a tree level quartic. This is made possible by extending the symmetry of the model to include two Z_2 parities, each of which is sufficient to protect the Higgs from getting a quadratically divergent mass squared. Although both parities are broken explicitly, the symmetries that protect the Higgs from getting a quadratically divergent mass are broken only collectively. The quadratic divergences of the Higgs mass are thus still protected at one loop. We find that the fine tuning in this model is reduced substantially compared to the original left-right twin Higgs model. This mechanism can also be applied to the mirror twin Higgs model to get a significant reduction of the fine tuning, while keeping the mirror photon massless.","url":"https://arxiv.org/abs/0707.3650v1","authors":["Hock-Seng Goh","Christopher A. Krenke"],"tags":["hep-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2007-07-25T00:19:29Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0610031v1","name":"Pathways: Augmenting interoperability across scholarly repositories","source":"arxiv","abstract":"In the emerging eScience environment, repositories of papers, datasets, software, etc., should be the foundation of a global and natively-digital scholarly communications system. The current infrastructure falls far short of this goal. Cross-repository interoperability must be augmented to support the many workflows and value-chains involved in scholarly communication. This will not be achieved through the promotion of single repository architecture or content representation, but instead requires an interoperability framework to connect the many heterogeneous systems that will exist. We present a simple data model and service architecture that augments repository interoperability to enable scholarly value-chains to be implemented. We describe an experiment that demonstrates how the proposed infrastructure can be deployed to implement the workflow involved in the creation of an overlay journal over several different repository systems (Fedora, aDORe, DSpace and arXiv).","url":"https://arxiv.org/abs/cs/0610031v1","authors":["Simeon Warner","Jeroen Bekaert","Carl Lagoze","Xiaoming Liu","Sandy Payette","Herbert Van de Sompel"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2006-10-05T19:55:09Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2501.10396v3","name":"AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications","source":"arxiv","abstract":"We present methods and applications for the development of digital twins (DT) for urban traffic management. While the majority of studies on the DT focus on its ``eyes,\" which is the emerging sensing and perception like object detection and tracking, what really distinguishes the DT from a traditional simulator lies in its ``brain,\" the prediction and decision making capabilities of extracting patterns and making informed decisions from what has been seen and perceived. In order to add value to urban transportation management, DTs need to be powered by artificial intelligence and complement with low-latency high-bandwidth sensing and networking technologies, in other words, cyberphysical systems. This paper can be a pointer to help researchers and practitioners identify challenges and opportunities for the development of DTs; a bridge to initiate conversations across disciplines; and a road map to exploiting potentials of DTs for diverse urban transportation applications.","url":"https://arxiv.org/abs/2501.10396v3","authors":["Yongjie Fu","Mehmet K. Turkcan","Mahshid Ghasemi","Zhaobin Mo","Chengbo Zang","Abhishek Adhikari","Zoran Kostic","Gil Zussman","Xuan Di"],"tags":["eess.SY","cs.AI","cs.CY","cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-30T02:52:19Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2504.20295v1","name":"The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting","source":"arxiv","abstract":"Digital twins (DTs) are improving water distribution systems by using real-time data, analytics, and prediction models to optimize operations. This paper presents a DT platform designed for a Spanish water supply network, utilizing Long Short-Term Memory (LSTM) networks to predict water consumption. However, machine learning models are vulnerable to adversarial attacks, such as the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD). These attacks manipulate critical model parameters, injecting subtle distortions that degrade forecasting accuracy. To further exploit these vulnerabilities, we introduce a Learning Automata (LA) and Random LA-based approach that dynamically adjusts perturbations, making adversarial attacks more difficult to detect. Experimental results show that this approach significantly impacts prediction reliability, causing the Mean Absolute Percentage Error (MAPE) to rise from 26% to over 35%. Moreover, adaptive attack strategies amplify this effect, highlighting cybersecurity risks in AI-driven DTs. These findings emphasize the urgent need for robust defenses, including adversarial training, anomaly detection, and secure data pipelines.","url":"https://arxiv.org/abs/2504.20295v1","authors":["Mohammadhossein Homaei","Victor Gonzalez Morales","Oscar Mogollon-Gutierrez","Andres Caro"],"tags":["cs.LG","cs.AI","cs.CR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-04-28T22:34:11Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2410.19151v1","name":"CapsuleNet: A Deep Learning Model To Classify GI Diseases Using EfficientNet-b7","source":"arxiv","abstract":"Gastrointestinal (GI) diseases represent a significant global health concern, with Capsule Endoscopy (CE) offering a non-invasive method for diagnosis by capturing a large number of GI tract images. However, the sheer volume of video frames necessitates automated analysis to reduce the workload on doctors and increase the diagnostic accuracy. In this paper, we present CapsuleNet, a deep learning model developed for the Capsule Vision 2024 Challenge, aimed at classifying 10 distinct GI abnormalities. Using a highly imbalanced dataset, we implemented various data augmentation strategies, reducing the data imbalance to a manageable level. Our model leverages a pretrained EfficientNet-b7 backbone, tuned with additional layers for classification and optimized with PReLU activation functions. The model demonstrated superior performance on validation data, achieving a micro accuracy of 84.5% and outperforming the VGG16 baseline across most classes. Despite these advances, challenges remain in classifying certain abnormalities, such as Erythema. Our findings suggest that CNN-based models like CapsuleNet can provide an efficient solution for GI tract disease classification, particularly when inference time is a critical factor.","url":"https://arxiv.org/abs/2410.19151v1","authors":["Aniket Das","Ayushman Singh"," Nishant","Sharad Prakash"],"tags":["eess.IV","cs.CV"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-24T20:43:47Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1110.2396v1","name":"Semantic Technology to Exploit Digital Content Exposed as Linked Data","source":"arxiv","abstract":"The paper illustrates the research result of the application of semantic technology to ease the use and reuse of digital contents exposed as Linked Data on the web. It focuses on the specific issue of explorative research for the resource selection: a context dependent semantic similarity assessment is proposed in order to compare datasets annotated through terminologies exposed as Linked Data (e.g. habitats, species). Semantic similarity is shown as a building block technology to sift linked data resources. From semantic similarity application, we derived a set of recommendations underlying open issues in scaling the similarity assessment up to the Web of Data.","url":"https://arxiv.org/abs/1110.2396v1","authors":["Riccardo Albertoni","Monica De Martino"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2011-10-11T15:20:15Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2409.03655v1","name":"Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization","source":"arxiv","abstract":"Advances in speech technology now allow unprecedented access to personally identifiable information through speech. To protect such information, the differential privacy field has explored ways to anonymize speech while preserving its utility, including linguistic and paralinguistic aspects. However, anonymizing speech while maintaining emotional state remains challenging. We explore this problem in the context of the VoicePrivacy 2024 challenge. Specifically, we developed various speaker anonymization pipelines and find that approaches either excel at anonymization or preserving emotion state, but not both simultaneously. Achieving both would require an in-domain emotion recognizer. Additionally, we found that it is feasible to train a semi-effective speaker verification system using only emotion representations, demonstrating the challenge of separating these two modalities.","url":"https://arxiv.org/abs/2409.03655v1","authors":["Zexin Cai","Henry Li Xinyuan","Ashi Garg","Leibny Paola García-Perera","Kevin Duh","Sanjeev Khudanpur","Nicholas Andrews","Matthew Wiesner"],"tags":["eess.AS","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-09-05T16:10:31Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2110.12553v1","name":"Towards Blockchain-enabled Open Architectures for Scalable Digital Asset Platforms","source":"arxiv","abstract":"Today there is considerable interest in deploying blockchains and decentralized ledger technology as a means to address the deficiencies of current financial and digital asset infrastructures. The focal point of attention in many projects on digital asset and cryptocurrency is centered around blockchain systems and smart contracts. Many projects seek to make the blockchain as the centerpiece of the new decentralized world of finance. However, several roadblocks and challenges currently face this predominant blockchain-centric view. In this paper we argue that the proper and correct perspective on decentralized economy should be one that is asset-centric, where the goal should be the consistent lifecycle management of assets in the real-world with their digital representation on the blockchain. We introduce the notion of the digital twin to capture the relationship between a real-world asset and its on-chain representation. A digital twin container is utilized to permit off-chain state persistence and on-chain state traceability, where the container can be deployed on the blockchain as well as on traditional application servers. The digital twin container becomes the bridge between legacy infrastructures and the newly emergent blockchain infrastructures, permitting legacy systems to interoperate consistently with blockchain systems. We believe this asset-centric view to be the correct evolutionary direction for the nascent field of blockchains and decentralized ledger technology.","url":"https://arxiv.org/abs/2110.12553v1","authors":["Denis Avrilionis","Thomas Hardjono"],"tags":["cs.CR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2021-10-24T23:26:41Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2501.14911v2","name":"Goal-Oriented Real-Time Bayesian Inference for Linear Autonomous Dynamical Systems With Application to Digital Twins for Tsunami Early Warning","source":"arxiv","abstract":"We present a goal-oriented framework for constructing digital twins with the following properties: (1) they employ discretizations of high-fidelity PDE models governed by autonomous dynamical systems, leading to large-scale forward problems; (2) they solve a linear inverse problem to assimilate observational data to infer uncertain model components followed by a forward prediction of the evolving dynamics; and (3) the entire end-to-end, data-to-inference-to-prediction computation is carried out without approximation and in real time through a Bayesian framework that rigorously accounts for uncertainties. Several challenges must be overcome to realize this framework, including the large scale of the forward problem, the high dimensionality of the parameter space, and for a class of problems including those we target, the slow decay of the singular values of the parameter-to-observable map. Here we introduce a methodology to overcome these challenges by exploiting the autonomous structure of the forward model to decompose the solution of the inverse problem into an offline phase in which the PDE model is solved a limited number of times, and an online phase that computes the parameter inference and prediction of quantities of interest in real time, given observational data. Our goal is to apply this framework to construct digital twins for subduction zones to provide early warning for tsunamis. To this end, we show how our methodology can be used to employ seafloor pressure observations, along with the coupled acoustic-gravity wave equations, to infer the earthquake-induced seafloor motion (discretized with 10^9 parameters) and forecast the tsunami propagation. We present results of an end-to-end inference, prediction, and uncertainty quantification for a representative test problem with 10^8 inversion parameters for which goal-oriented Bayesian inference is accomplished in real time.","url":"https://arxiv.org/abs/2501.14911v2","authors":["Stefan Henneking","Sreeram Venkat","Omar Ghattas"],"tags":["math.NA"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-01-24T20:30:37Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2410.17589v1","name":"Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation","source":"arxiv","abstract":"Despite significant advancements in neural text-to-audio generation, challenges persist in controllability and evaluation. This paper addresses these issues through the Sound Scene Synthesis challenge held as part of the Detection and Classification of Acoustic Scenes and Events 2024. We present an evaluation protocol combining objective metric, namely Fréchet Audio Distance, with perceptual assessments, utilizing a structured prompt format to enable diverse captions and effective evaluation. Our analysis reveals varying performance across sound categories and model architectures, with larger models generally excelling but innovative lightweight approaches also showing promise. The strong correlation between objective metrics and human ratings validates our evaluation approach. We discuss outcomes in terms of audio quality, controllability, and architectural considerations for text-to-audio synthesizers, providing direction for future research.","url":"https://arxiv.org/abs/2410.17589v1","authors":["Junwon Lee","Modan Tailleur","Laurie M. Heller","Keunwoo Choi","Mathieu Lagrange","Brian McFee","Keisuke Imoto","Yuki Okamoto"],"tags":["cs.SD","cs.AI","cs.LG","cs.MM","eess.AS"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-10-23T06:35:41Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2502.15683v1","name":"Results of the 2024 Video Browser Showdown","source":"arxiv","abstract":"This report presents the results of the 13th Video Browser Showdown, held at the 2024 International Conference on Multimedia Modeling on the 29th of January 2024 in Amsterdam, the Netherlands.","url":"https://arxiv.org/abs/2502.15683v1","authors":["Luca Rossetto","Klaus Schoeffmann","Cathal Gurrin","Jakub Lokoč","Werner Bailer"],"tags":["cs.MM","cs.IR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-13T20:09:27Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2403.14982v2","name":"MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thoughts","source":"arxiv","abstract":"Our paper presents team MasonTigers submission to the SemEval-2024 Task 9 - which provides a dataset of puzzles for testing natural language understanding. We employ large language models (LLMs) to solve this task through several prompting techniques. Zero-shot and few-shot prompting generate reasonably good results when tested with proprietary LLMs, compared to the open-source models. We obtain further improved results with chain-of-thought prompting, an iterative prompting method that breaks down the reasoning process step-by-step. We obtain our best results by utilizing an ensemble of chain-of-thought prompts, placing 2nd in the word puzzle subtask and 13th in the sentence puzzle subtask. The strong performance of prompted LLMs demonstrates their capability for complex reasoning when provided with a decomposition of the thought process. Our work sheds light on how step-wise explanatory prompts can unlock more of the knowledge encoded in the parameters of large models.","url":"https://arxiv.org/abs/2403.14982v2","authors":["Md Nishat Raihan","Dhiman Goswami","Al Nahian Bin Emran","Sadiya Sayara Chowdhury Puspo","Amrita Ganguly","Marcos Zampieri"],"tags":["cs.CL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-03-22T06:31:49Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1802.02689v2","name":"Digital Data Archives as Knowledge Infrastructures: Mediating Data Sharing and Reuse","source":"arxiv","abstract":"Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures - robust networks of people, artifacts, and institutions - but little is known about how they mediate information exchange between stakeholders. We open the \"black box\" of data archives by studying DANS, the Data Archiving and Networked Services institute of The Netherlands, which manages 50+ years of data from the social sciences, humanities, and other domains. Our interviews, weblogs, ethnography, and document analyses reveal that a few large contributors provide a steady flow of content, but most are academic researchers who submit datasets infrequently and often restrict access to their files. Consumers are a diverse group that overlaps minimally with contributors. Archivists devote about half their time to aiding contributors with curation processes and half to assisting consumers. Given the diversity and infrequency of usage, human assistance in curation and search remains essential. DANS' knowledge infrastructure encompasses public and private stakeholders who contribute, consume, harvest, and serve their data - many of whom did not exist at the time the DANS collections originated - reinforcing the need for continuous investment in digital data archives as their communities, technologies, and services evolve.","url":"https://arxiv.org/abs/1802.02689v2","authors":["Christine L. Borgman","Andrea Scharnhorst","Milena S. Golshan"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2018-02-08T02:04:03Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2401.17171v2","name":"The magnetic field in the Flame nebula","source":"arxiv","abstract":"Star formation is essential in galaxy evolution and the cycling of matter. The support of interstellar clouds against gravitational collapse by magnetic (B-) fields has been proposed to explain the low observed star formation efficiency in galaxies and the Milky Way. Despite the Planck satellite providing a 5-15' all-sky map of the B-field geometry in the diffuse interstellar medium, higher spatial resolution observations are required to understand the transition from diffuse gas to gravitationally unstable filaments. NGC 2024, the Flame Nebula, in the nearby Orion B molecular cloud, contains a young, expanding HII region and a dense filament that harbors embedded protostellar objects. Therefore, NGC 2024 is an excellent opportunity to study the role of B-fields in the formation, evolution, and collapse of filaments, as well as the dynamics and effects of young HII regions on the surrounding molecular gas. We combine new 154 and 216 micron dust polarization measurements carried out using the HAWC+ instrument aboard SOFIA with molecular line observations of 12CN(1-0) and HCO+(1-0) from the IRAM 30-meter telescope to determine the B-field geometry and to estimate the plane of the sky magnetic field strength across the NGC 2024. The HAWC+ observations show an ordered B-field geometry in NGC 2024 that follows the morphology of the expanding HII region and the direction of the main filament. The derived plane of the sky B-field strength is moderate, ranging from 30 to 80 micro G. The strongest B-field is found at the northern-west edge of the HII region, characterized by the highest gas densities and molecular line widths. In contrast, the weakest field is found toward the filament in NGC 2024. The B-field has a non-negligible influence on the gas stability at the edges of the expanding HII shell (gas impacted by the stellar feedback) and the filament (site of the current star formation).","url":"https://arxiv.org/abs/2401.17171v2","authors":["Ivana Bešlić","Simon Coudé","Dariusz C. Lis","Maryvonne Gerin","Paul F. Goldsmith","Jerome Pety","Antoine Roueff","Karine Demyk","Charles D. Dowell","Lucas Einig","Javier R. Goicoechea","Francois Levrier","Jan Orkisz","Nicolas Peretto","Miriam G. Santa-Maria","Nathalie Ysard","Antoine Zakardjian"],"tags":["astro-ph.GA"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-01-30T17:00:04Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2403.10394v1","name":"pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac Electrophysiology","source":"arxiv","abstract":"Background and Objective: Data from electro-anatomical mapping (EAM) systems are playing an increasingly important role in computational modeling studies for the patient-specific calibration of digital twin models. However, data exported from commercial EAM systems are challenging to access and parse. Converting to data formats that are easily amenable to be viewed and analyzed with commonly used cardiac simulation software tools such as openCARP remains challenging. We therefore developed an open-source platform, pyCEPS, for parsing and converting clinical EAM data conveniently to standard formats widely adopted within the cardiac modeling community. Methods and Results: pyCEPS is an open-source Python-based platform providing the following functions: (i) access and interrogate the EAM data exported from clinical mapping systems; (ii) efficient browsing of EAM data to preview mapping procedures, electrograms (EGMs), and electro-cardiograms (ECGs); (iii) conversion to modeling formats according to the openCARP standard, to be amenable to analysis with standard tools and advanced workflows as used for in silico EAM data. Documentation and training material to facilitate access to this complementary research tool for new users is provided. We describe the technological underpinnings and demonstrate the capabilities of pyCEPS first, and showcase its use in an exemplary modeling application where we use clinical imaging data to build a patient-specific anatomical model. Conclusion: With pyCEPS we offer an open-source framework for accessing EAM data, and converting these to cardiac modeling standard formats. pyCEPS provides the core functionality needed to integrate EAM data in cardiac modeling research. We detail how pyCEPS could be integrated into model calibration workflows facilitating the calibration of a computational model based on EAM data.","url":"https://arxiv.org/abs/2403.10394v1","authors":["Robert Arnold","Anton J. Prassl","Aurel Neic","Franz Thaler","Christoph M. Augustin","Matthias A. F. Gsell","Karli Gillette","Martin Manninger","Daniel Scherr","Gernot Plank"],"tags":["physics.med-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-03-15T15:27:57Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1401.5775v3","name":"Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data","source":"arxiv","abstract":"To make digital resources on the web verifiable, immutable, and permanent, we propose a technique to include cryptographic hash values in URIs. We call them trusty URIs and we show how they can be used for approaches like nanopublications to make not only specific resources but their entire reference trees verifiable. Digital artifacts can be identified not only on the byte level but on more abstract levels such as RDF graphs, which means that resources keep their hash values even when presented in a different format. Our approach sticks to the core principles of the web, namely openness and decentralized architecture, is fully compatible with existing standards and protocols, and can therefore be used right away. Evaluation of our reference implementations shows that these desired properties are indeed accomplished by our approach, and that it remains practical even for very large files.","url":"https://arxiv.org/abs/1401.5775v3","authors":["Tobias Kuhn","Michel Dumontier"],"tags":["cs.CR","cs.DL","cs.NI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2014-01-16T14:23:43Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:0103628v1","name":"Twin model for orthorhombic perovskites","source":"arxiv","abstract":"We present a detailed single crystal x-ray diffraction study of twinned orthorhombic perovskites. The diffraction pattern can be indexed on a $2a_p$x$2a_p$x$2a_p$ lattice, but does not obey cubic symmetry relations. The data can be modelled in space group $Pnma$ with a twin based on a distribution of the $b$ axis over three perpendicular cubic axes. This model allows full structure determination in the presence of up to six twin fractions from single crystal x-ray diffraction data.","url":"https://arxiv.org/abs/cond-mat/0103628v1","authors":["Bas B. Van Aken","Auke Meetsma","Thomas T. M. Palstra"],"tags":["cond-mat"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2001-03-30T13:59:19Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2403.18125v1","name":"For those who don't know (how) to ask: Building a dataset of technology questions for digital newcomers","source":"arxiv","abstract":"While the rise of large language models (LLMs) has created rich new opportunities to learn about digital technology, many on the margins of this technology struggle to gain and maintain competency due to lexical or conceptual barriers that prevent them from asking appropriate questions. Although there have been many efforts to understand factuality of LLM-created content and ability of LLMs to answer questions, it is not well understood how unclear or nonstandard language queries affect the model outputs. We propose the creation of a dataset that captures questions of digital newcomers and outsiders, utilizing data we have compiled from a decade's worth of one-on-one tutoring. In this paper we lay out our planned efforts and some potential uses of this dataset.","url":"https://arxiv.org/abs/2403.18125v1","authors":["Evan Lucas","Kelly S. Steelman","Leo C. Ureel","Charles Wallace"],"tags":["cs.CL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-03-26T22:08:33Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2409.04940v2","name":"An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing","source":"arxiv","abstract":"The attention mechanism is a key computing kernel of Transformers, calculating pairwise correlations across the entire input sequence. The computing complexity and frequent memory access in computing self-attention put a huge burden on the system especially when the sequence length increases. This paper presents an analog and digital hybrid processor to accelerate the attention mechanism for transformers in 65nm CMOS technology. We propose an analog computing-in-memory (CIM) core, which prunes ~75% of low-score tokens on average during runtime at ultra-low power and delay. Additionally, a digital processor performs precise computations only for ~25% unpruned tokens selected by the analog CIM core, preventing accuracy degradation. Measured results show peak energy efficiency of 14.8 and 1.65 TOPS/W, and peak area efficiency of 976.6 and 79.4 GOPS/mm$^\\mathrm{2}$ in the analog core and the system-on-chip (SoC), respectively.","url":"https://arxiv.org/abs/2409.04940v2","authors":["Ashkan Moradifirouzabadi","Divya Sri Dodla","Mingu Kang"],"tags":["cs.AR","cs.LG"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-09-08T01:27:56Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2308.11034v2","name":"Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules","source":"arxiv","abstract":"This study proposes an extendable modelling framework for Digital Twin-Oriented Complex Networked Systems (DT-CNSs) with a goal of generating networks that faithfully represent real systems. Modelling process focuses on (i) features of nodes and (ii) interaction rules for creating connections that are built based on individual node's preferences. We conduct experiments on simulation-based DT-CNSs that incorporate various features and rules about network growth and different transmissibilities related to an epidemic spread on these networks. We present a case study on disaster resilience of social networks given an epidemic outbreak by investigating the infection occurrence within specific time and social distance. The experimental results show how different levels of the structural and dynamics complexities, concerned with feature diversity and flexibility of interaction rules respectively, influence network growth and epidemic spread. The analysis revealed that, to achieve maximum disaster resilience, mitigation policies should be targeted at nodes with preferred features as they have higher infection risks and should be the focus of the epidemic control.","url":"https://arxiv.org/abs/2308.11034v2","authors":["Jiaqi Wen","Bogdan Gabrys","Katarzyna Musial"],"tags":["cs.SI","cs.AI"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-08-18T01:54:48Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2511.03684v1","name":"Simulation-Based Validation of an Integrated 4D/5D Digital-Twin Framework for Predictive Construction Control","source":"arxiv","abstract":"Persistent cost and schedule deviations remain a major challenge in the U.S. construction industry, revealing the limitations of deterministic CPM and static document-based estimating. This study presents an integrated 4D/5D digital-twin framework that couples Building Information Modeling (BIM) with natural-language processing (NLP)-based cost mapping, computer-vision (CV)-driven progress measurement, Bayesian probabilistic CPM updating, and deep-reinforcement-learning (DRL) resource-leveling. A nine-month case implementation on a Dallas-Fort Worth mid-rise project demonstrated measurable gains in accuracy and efficiency: 43% reduction in estimating labor, 6% reduction in overtime, and 30% project-buffer utilization, while maintaining an on-time finish at 128 days within P50-P80 confidence bounds. The digital-twin sandbox also enabled real-time \"what-if\" forecasting and traceable cost-schedule alignment through a 5D knowledge graph. Findings confirm that integrating AI-based analytics with probabilistic CPM and DRL enhances forecasting precision, transparency, and control resilience. The validated workflow establishes a practical pathway toward predictive, adaptive, and auditable construction management.","url":"https://arxiv.org/abs/2511.03684v1","authors":["Atena Khoshkonesh","Mohsen Mohammadagha","Navid Ebrahimi"],"tags":["cs.CE","cs.AI","cs.LG","eess.SY"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-11-05T18:07:03Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2305.08477v3","name":"Representing provenance and track changes of cultural heritage metadata in RDF: a survey of existing approaches","source":"arxiv","abstract":"In the realm of Digital Humanities, the management of cultural heritage metadata is pivotal for ensuring data trustworthiness. Provenance information - contextual metadata detailing the origin and history of data - plays a crucial role in this process. However, tracking provenance and changes in metadata using the Resource Description Framework (RDF) presents significant challenges due to the limitations of foundational Semantic Web technologies. This article offers a comprehensive review of existing models and approaches for representing provenance and tracking changes in RDF, with a specific focus on cultural heritage metadata. It examines W3C standard proposals such as RDF Reification and n-ary relations, along with various alternative systems. Through an in-depth analysis, the study identifies Named Graphs, RDF*, the Provenance Ontology (PROV-O), Dublin Core (DC), Conjectural Graphs, and the OpenCitations Data Model (OCDM) as the most effective solutions. These models are evaluated based on their compliance with RDF standards, scalability, and applicability across different domains. The findings underscore the importance of selecting the appropriate model to ensure robust and reliable management of provenance in RDF datasets, thereby contributing to the ongoing discourse on provenance representation in the Digital Humanities.","url":"https://arxiv.org/abs/2305.08477v3","authors":["Arcangelo Massari","Silvio Peroni","Francesca Tomasi","Ivan Heibi"],"tags":["cs.DL"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2023-05-15T09:28:22Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2211.09347v2","name":"Hydrogen embrittlement of twinning-induced plasticity steels: contribution of segregation to twin boundaries","source":"arxiv","abstract":"Metallic materials, especially steel, underpin transportation technologies. High-manganese twinning induced plasticity (TWIP) austenitic steels exhibit exceptional strength and ductility from twins, low-energy microstructural defects that form during plastic loading. Their high-strength could help light-weighting vehicles, and hence cut carbon emissions. TWIP steels are however very sensitive to hydrogen embrittlement that causes dramatic losses of ductility and toughness leading to catastrophic failure of engineering parts. Here, we examine the atomic-scale chemistry and interaction of hydrogen with twin boundaries in a model TWIP steel by using isotope-labelled atom probe tomography, using tritium to avoid overlap with residual hydrogen. We reveal co-segregation of tritium and, unexpectedly, oxygen to coherent twin boundaries, and discuss their combined role in the embrittlement of these promising steels.","url":"https://arxiv.org/abs/2211.09347v2","authors":["Heena Khanchandani","Rolf Rolli","Hans-Christian Schneider","Christoph Kirchlechner","Baptiste Gault"],"tags":["cond-mat.mtrl-sci"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-11-17T05:13:06Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2006.02770v2","name":"Characteristics of Dataset Retrieval Sessions: Experiences from a Real-life Digital Library","source":"arxiv","abstract":"Secondary analysis or the reuse of existing survey data is a common practice among social scientists. Searching for relevant datasets in Digital Libraries is a somehow unfamiliar behaviour for this community. Dataset retrieval, especially in the social sciences, incorporates additional material such as codebooks, questionnaires, raw data files and more. Our assumption is that due to the diverse nature of datasets, document retrieval models often do not work as efficiently for retrieving datasets. One way of enhancing these types of searches is to incorporate the users' interaction context in order to personalise dataset retrieval sessions. As a first step towards this long term goal, we study characteristics of dataset retrieval sessions from a real-life Digital Library for the social sciences that incorporates both: research data and publications. Previous studies reported a way of discerning queries between document search and dataset search by query length. In this paper, we argue the claim and report our findings of an indistinguishability of queries, whether aiming for a dataset or a document. Amongst others, we report our findings of dataset retrieval sessions with respect to query characteristics, interaction sequences and topical drift within 65,000 unique sessions.","url":"https://arxiv.org/abs/2006.02770v2","authors":["Zeljko Carevic","Dwaipayan Roy","Philipp Mayr"],"tags":["cs.DL","cs.IR"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2020-06-04T11:01:24Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1805.12139v2","name":"Coscattering/Coannihilation Dark Matter in a Fraternal Twin Higgs Model","source":"arxiv","abstract":"Dark matter candidates arise naturally in many models that address the hierarchy problem. In the fraternal twin Higgs model which could explain the absence of the new physics signals at the Large Hadron Collider (LHC), there are several viable dark matter candidates. In this paper we study the twin neutrino in the mass range $\\sim$ 0.1--10 GeV as the dark matter. The thermal relic density is determined by the interplay of several annihilation and scattering processes between the twin neutrino, twin tau, and twin photon, depending on the order of the freeze-out temperatures of these processes. Besides the common coannihilation scenario where the relic density is controlled by the twin tau annihilation, it can realize the recently discovered coscattering phase if the scattering of the twin neutrino into the twin tau freezes out earlier than the twin tau annihilation. We also provide a method to calculate the thermal relic density in the intermediate regime where both coannihilation and coscattering processes contribute to the determination of the dark matter density. We show that the right amount of dark matter can be obtained in various scenarios in different regions of the parameter space. The current experimental constraints and future probes into the parameter space from direct detections, cosmological and astrophysical bounds, dark photon searches, and displaced decays at colliders, are discussed.","url":"https://arxiv.org/abs/1805.12139v2","authors":["Hsin-Chia Cheng","Lingfeng Li","Rui Zheng"],"tags":["hep-ph","hep-ex"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2018-05-30T18:00:01Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2505.06823v2","name":"Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments","source":"arxiv","abstract":"This paper presents a comprehensive real-world and Digital Twin (DT) dataset collected as part of the AERPAW Find A Rover (AFAR) Challenge, organized by the NSF Aerial Experimentation and Research Platform for Advanced Wireless (AERPAW) testbed and hosted at the Lake Wheeler Field in Raleigh, North Carolina. The AFAR Challenge was a competition involving five finalist university teams, focused on promoting innovation in unmanned aerial vehicle (UAV)-assisted radio frequency (RF) source localization. Participating teams were tasked with designing UAV flight trajectories and localization algorithms to detect the position of a hidden unmanned ground vehicle (UGV), also referred to as a rover, emitting probe signals generated by GNU Radio. The competition was structured to evaluate solutions in a DT environment first, followed by deployment and testing in the AERPAW outdoor wireless testbed. For each team, the UGV was placed at three different positions, resulting in a total of 29 datasets, 15 collected in a DT simulation environment and 14 in a physical outdoor testbed. Each dataset contains time-synchronized measurements of received signal strength (RSS), received signal quality (RSQ), GPS coordinates, UAV velocity, and UAV orientation (roll, pitch, and yaw). Data is organized into structured folders by team, environment (DT and real-world), and UGV location. The dataset supports research in UAV-assisted RF source localization, air-to-ground (A2G) wireless propagation modeling, trajectory optimization, signal prediction, autonomous navigation, and DT validation. With 300k time-synchronized samples from the real-world experiments, the AFAR dataset enables effective training/testing of deep learning (DL) models and supports robust, real-world UAV-based wireless communication and sensing research.","url":"https://arxiv.org/abs/2505.06823v2","authors":["Saad Masrur","Ozgur Ozdemir","Anil Gurses","Ismail Guvenc","Mihail L. Sichitiu","Rudra Dutta","Magreth Mushi","homas Zajkowski","Cole Dickerson","Gautham Reddy","Sergio Vargas Villar","Chau-Wai Wong","Baisakhi Chatterjee","Sonali Chaudhari","Zhizhen Li","Yuchen Liu","Paul Kudyba","Haijian Sun","Jaya Sravani Mandapaka","Kamesh Namuduri","Weijie Wang","Fraida Fund"],"tags":["eess.SP","eess.AS"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2025-05-11T03:22:48Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2412.17277v1","name":"Neutrinos: Opening new doors","source":"arxiv","abstract":"In this contribution, which introduces the \"Crossing the Portal\" session of the NOW 2024 meeting, I discuss the value of the concepts of interdisciplinarity and innovation for neutrino physics. After some historical considerations, which provide an initial illustration of the significant role of these concepts, I review some well-known cases of neutrino science, involving both astrophysics and particle physics, which allow us to deepen the analysis. The importance of a harmonious relationship between theoretical elaborations and experiments emerges: effective collaboration between theoretical and experimental physicists played a key role in many of the successful cases and proved marginal or defective in the doubtful ones. The discussion highlights also the need to proceed armed with a patience, a virtue that Feynman himself indicated as essential to science, all the more necessary when investigating interesting but elusive particles such as neutrinos.","url":"https://arxiv.org/abs/2412.17277v1","authors":["Francesco Vissani"],"tags":["hep-ph","hep-th"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2024-12-23T04:57:19Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:2207.09242v1","name":"Detecting clusters of galaxies and active galactic nuclei in an eROSITA all-sky survey digital twin","source":"arxiv","abstract":"The extended ROentgen Survey with an Imaging Telescope Array (eROSITA) onboard the Spectrum-Roentgen-Gamma (SRG) observatory is revolutionizing X-ray astronomy. It provides large samples of active galactic nuclei (AGN) and clusters of galaxies, with the potential of studying X-ray sources and measuring cosmological parameters using X-ray-selected samples with higher precision than ever before. We aim to study the detection, and the selection of AGN and clusters in the first eROSITA all-sky survey (eRASS1), and to characterize the properties of the source catalog. We produced a half-sky eRASS1 simulation, by combining models that truthfully represent the clusters and AGN. In total, we simulated 1 116 758 clusters and 225 583 320 AGN. We ran the standard eROSITA detection algorithm. We matched the input and source catalogs with a photon-based algorithm. We perfectly recovered the bright sources. We detected half of the AGN brighter than 2e-14 erg/s/cm2 as point sources and half of the clusters brighter than 3e-13 erg/s/cm2 as extended in the 0.5-2.0 keV band. We quantified the detection performance in terms of completeness, false detection rate, and contamination. We studied the source catalog according to multiple cuts of detection and extension likelihood. We find that the detection of clusters is mainly driven by flux and exposure. It depends on secondary effects, such as the size of the clusters and their dynamical state. The cool core bias mostly affects faint clusters classified as point sources, while its impact on the extent-selected sample is small. The measured X-ray luminosity of the detected clusters is compatible with the simulated values. We discuss how to best build samples of galaxy clusters for cosmological purposes, accounting for the nonuniform depth of eROSITA. This simulation provides a digital twin of the real eRASS1.","url":"https://arxiv.org/abs/2207.09242v1","authors":["R. Seppi","J. Comparat","E. Bulbul","K. Nandra","A. Merloni","N. Clerc","T. Liu","V. Ghirardini","A. Liu","M. Salvato","J. S. Sanders","J. Wilms","T. Dwelly","T. Dauser","O. Konig","M. E. Ramos-Ceja","C. Garrel","T. H. Reiprich"],"tags":["astro-ph.CO"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2022-07-19T12:56:30Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"},{"id":"arxiv:1501.05256v2","name":"Comparative study of nonclassicality, entanglement, and dimensionality of multimode noisy twin beams","source":"arxiv","abstract":"Nonclassicality, entanglement, as well as dimensionality of a noisy twin beam are determined using characteristic function of the beam written in the Fock basis. One-to-one correspondence between the negativity quantifying entanglement and the nonclassicality depth is revealed. Twin beams, which are either entangled or nonclassical (independent of their entanglement), are observed only for the limited degrees of noise that degrades their quantumness. Dimensionality of the twin beam quantified by the participation ratio is compared with the dimensionality of entanglement determined from the negativity. The partition of the degrees of freedom of the twin beam into those related to entanglement and to noise is suggested. Both single-mode and multimode twin beams are analyzed. Weak nonclassicality based on integrated-intensity quasidistributions of multimode twin beams is studied. Relation of the model to the experimental twin beams is discussed.","url":"https://arxiv.org/abs/1501.05256v2","authors":["Ievgen I. Arkhipov","Jan Perina","Jan Perina","Adam Miranowicz"],"tags":["quant-ph"],"confidence":0.78,"sites":["digital-twin"],"publishedDate":"2015-01-21T18:48:37Z","doi":"","addedAt":"2026-09-01T06:00:30.560Z","updatedAt":"2026-09-01T06:00:30.560Z"}]